(a (desc 3186.08) (sims
"hepatitis A"	0.0903635
H.	0.0614005
Leung	0.0567615
"Vojislav Kostunica"	0.0545252
subpar	0.0539272
P	0.0506783
ISO@@@@	0.0487369
"vitamin A"	0.0485458
BB	0.0481559
Massey	0.0472181
over-@@	0.0462682
lam	0.0453813
"Larry Sabato"	0.0452062
multibillion	0.0427643
tossup	0.0426273
multiplayer	0.0424988
McGinn	0.0423811
duffer	0.0407826
Nielsen	0.0404334
))
("a few" (desc 100392) (sims
two	0.129587
"about @@"	0.127905
Three	0.124989
many	0.122792
"more than @@@"	0.116751
"about @@@"	0.11438
four	0.112641
Five	0.111618
one	0.111101
"more than @,@@@"	0.106759
Six	0.106512
some	0.103647
seven	0.0985704
"half a dozen"	0.0981485
"more than @@"	0.0979539
eight	0.0968346
"About @,@@@"	0.0965496
"two dozen"	0.0950833
hundred	0.0944503
"more than @@,@@@"	0.0931853
nine	0.0926632
"nearly @,@@@"	0.0895908
"nearly @@@"	0.088651
handful	0.0875078
"about five"	0.0868893
"More than two"	0.0843006
couple	0.0841532
"over @@@"	0.0827714
"more than @@@,@@@"	0.0824727
"about @@,@@@"	0.0813602
thousand	0.0808047
"about two"	0.0805589
dozen	0.0803798
"over @,@@@"	0.0788197
"more than one"	0.0786048
"about six"	0.0770732
"about three"	0.0763856
"nearly @@,@@@"	0.0759712
"another @@"	0.075407
Fifteen	0.073771
"more than three"	0.073505
those	0.0730539
several	0.0718947
"about @@@,@@@"	0.0715552
"more than @ million"	0.0709088
lot	0.0705597
most	0.0703966
few	0.0702599
none	0.0699775
"up to @,@@@"	0.0692779
"over @@,@@@"	0.0692028
any	0.0690929
ten	0.0687794
"about @ million"	0.0678753
"up to @@,@@@"	0.0666899
"over @@@,@@@"	0.0664407
Thirteen	0.0663996
"nearly @@@,@@@"	0.0662708
"almost @@@"	0.0659705
twenty	0.0655482
"up to @@"	0.0652445
"up to @@@"	0.0646331
people	0.0641848
while	0.0637158
number	0.0636132
"about four"	0.0621911
others	0.0618812
Twelve	0.0613162
"One Million"	0.060748
"over @@"	0.0604818
kid	0.060419
"other two"	0.0598381
"Another @@@"	0.0596773
million	0.0596381
"About one"	0.0595733
someone	0.0586642
word	0.0585882
"first two"	0.0585635
"nearly @@"	0.0584056
"More than @.@ million"	0.0583174
"no one"	0.0580748
something	0.0580266
Fifty	0.0579394
"more than @@ million"	0.0578302
plenty	0.0575991
list	0.056567
family	0.0565517
"long time"	0.0564096
Eleven	0.0560676
worst	0.0559282
bunch	0.0559277
"Other @@"	0.0550137
fan	0.0549858
"about @"	0.0547189
bit	0.054251
woman	0.0542479
baby	0.0541923
"a few minutes"	0.0541336
guy	0.0535557
"about @@ million"	0.0534022
type	0.053112
"another one"	0.0530154
man	0.0527464
player	0.0526004
signature	0.0525003
"two million"	0.0523429
variety	0.0521883
French	0.0521242
half	0.0519663
"first three"	0.0518166
ones	0.0517599
moment	0.0517411
rest	0.051682
thing	0.051447
collection	0.0514004
group	0.0513733
folk	0.0512027
core	0.0511698
generation	0.0511523
character	0.0511418
everyone	0.0511268
"about @.@ million"	0.0509832
Irish	0.0507685
student	0.0504931
kind	0.0501314
Chinese	0.0500555
girl	0.049973
sort	0.0499444
Reader	0.0499336
picture	0.0496124
consumer	0.0495709
each	0.0494862
celebrity	0.049463
"how many"	0.0494494
these	0.0492736
"large number"	0.049205
christian	0.0491539
"first @@"	0.0491446
everybody	0.0488048
young	0.048646
parent	0.0486439
movie	0.048637
child	0.0485583
book	0.0485465
us	0.048539
majority	0.0485294
minority	0.0482991
either	0.0482286
piece	0.0482031
wine	0.0481888
offering	0.0481471
boy	0.0480224
"first time"	0.0479246
Computer	0.0477939
pair	0.0477411
life	0.0476796
trademark	0.0475301
chance	0.0471956
much	0.04717
customer	0.0471485
American	0.0471177
copy	0.0471044
no	0.0469355
"black and white"	0.0469294
Hollywood	0.0467154
film	0.046706
sample	0.0466859
vintage	0.0465882
little	0.0465806
bird	0.0465438
you	0.0464881
"whole lot"	0.0462447
viewer	0.0462085
them	0.0461137
food	0.0458976
somebody	0.0458759
selling	0.0456935
band	0.0455427
money	0.0455304
dog	0.0454086
resident	0.0453284
audience	0.0452394
adult	0.0451201
style	0.0451145
Williams	0.0450859
Song	0.0450641
story	0.045017
hour	0.0450068
patient	0.0448695
person	0.0447481
they	0.0446796
user	0.0446647
series	0.0446419
ball	0.0446376
can	0.0446268
company	0.0445717
em	0.0445104
combination	0.0444995
music	0.0443101
baseball	0.0442648
))
("a few days" (desc 29195.5) (sims
"a few weeks"	0.217087
"a few months"	0.194463
"a few hours"	0.187632
"three weeks"	0.178592
"two days"	0.168435
"two weeks"	0.163001
"three days"	0.161103
"two months"	0.158886
"one week"	0.157957
"a few years"	0.157484
"four months"	0.157098
"six weeks"	0.15608
"a few minutes"	0.153653
"five days"	0.15311
"six months"	0.143095
"four days"	0.140657
"one month"	0.140218
"eight days"	0.139592
"five months"	0.136575
"one day"	0.136073
"four weeks"	0.134687
"three months"	0.134336
"six days"	0.131742
"two years"	0.130664
"about three hours"	0.130505
"about two weeks"	0.127518
"two hours"	0.125051
"about @@ minutes"	0.122637
"five weeks"	0.121192
"eight months"	0.118621
"five minutes"	0.11808
"one year"	0.114055
"nine months"	0.113564
month	0.111849
"three hours"	0.109451
"three years"	0.109047
"about @@ hours"	0.108611
"seven weeks"	0.10836
week	0.107746
"more than two hours"	0.106878
"eight weeks"	0.106673
"Less than two weeks"	0.106086
"one night"	0.105353
hour	0.10453
"less than @@ hours"	0.104352
"four years"	0.104269
"seven months"	0.104158
"nine days"	0.103952
"four hours"	0.103219
"one hour"	0.102358
"seven days"	0.101806
day	0.101672
"about two months"	0.101027
"six years"	0.100677
"five years"	0.099271
"about @@ days"	0.0984536
minute	0.0976982
"ten days"	0.0958045
"five hours"	0.0939353
"six hours"	0.0929114
"more than two years"	0.0923954
"more than @@ minutes"	0.091116
"eight years"	0.0899277
"nine years"	0.0880102
"about two hours"	0.0874545
"about six months"	0.0867729
"six to eight weeks"	0.086405
"seven years"	0.0862005
"short time"	0.0859151
"about @@ years"	0.0854419
"more than @@ hours"	0.0846593
"seven hours"	0.0825887
"about three weeks"	0.0806699
"another @@ years"	0.0801809
"two minutes"	0.0788077
"eight hours"	0.0786722
"about three months"	0.0785446
"about two minutes"	0.0781869
"about two years"	0.0778702
"more than two months"	0.0772924
"up to @@ minutes"	0.0767604
"two to three weeks"	0.0763439
"next two weeks"	0.0752938
"two nights"	0.0752607
"about four hours"	0.0748991
"two months ago"	0.074266
decade	0.0731151
"about five minutes"	0.0725253
"more than @@ years"	0.0723877
"nine hours"	0.0709834
"nearly two months"	0.0709742
"two weeks ago"	0.0708599
"up to @@ days"	0.0702603
"four years ago"	0.0695744
"up to @@ hours"	0.0690061
may	0.0685513
"less than two hours"	0.0684616
"nearly three hours"	0.0683169
"two decades"	0.0682009
October	0.0680491
"three months ago"	0.0678056
"up to six months"	0.0676819
"less than two months"	0.0675881
"nearly @@ years"	0.0674519
"two to three years"	0.0668655
"last week"	0.0666042
"three days ago"	0.0665481
now	0.0663385
"three to six months"	0.0662918
"more than four hours"	0.0660662
November	0.0660336
"two years ago"	0.065934
"another six months"	0.0658204
"more than one year"	0.0653291
"six months ago"	0.0653061
"nearly @@ hours"	0.0652012
"three years ago"	0.065088
"three minutes"	0.0648452
"years ago"	0.0648272
"more than two weeks"	0.0646303
"about @@ months"	0.0643911
"two days ago"	0.0641281
December	0.0640578
"three decades"	0.0636848
July	0.0632015
"another two years"	0.0630005
"more than three months"	0.0629114
"more than six months"	0.0627469
"nearly three months"	0.0622225
September	0.0616235
"months ago"	0.0615378
"one minute"	0.0612847
"seven years ago"	0.0612353
"nearly @@ minutes"	0.0609472
"eight minutes"	0.0607702
June	0.0607342
"six minutes"	0.0607281
"a few weeks ago"	0.0604327
here	0.0602294
"three times"	0.0597555
"three weeks ago"	0.0595424
today	0.0593504
"more than three hours"	0.0592359
"Five months ago"	0.0588976
"more than @@ months"	0.0588925
"nearly two hours"	0.0587359
"more than three years"	0.058438
"less than three weeks"	0.0580061
August	0.0577534
February	0.0577057
"Four minutes"	0.0576302
Evening	0.0572228
"six years ago"	0.0570798
summer	0.0569927
"nine years ago"	0.056764
"almost @@ years"	0.0567362
"five years ago"	0.0566548
"next two days"	0.0564697
"seven minutes"	0.0559579
nights	0.0559135
afternoon	0.0558596
January	0.0557369
tonight	0.0556145
"from @@@@ to @@@@"	0.0553923
"period of time"	0.0550955
"week ago"	0.0550088
"four months ago"	0.0549988
"nearly two years"	0.0549008
Christmas	0.0547137
"up to two years"	0.0537884
anywhere	0.0536098
morning	0.0532945
"nearly four years"	0.0531677
"long time"	0.0529422
"eight years ago"	0.0528807
"next @@ hours"	0.0528305
"nearly two weeks"	0.0527622
"next @@ days"	0.0525345
"about @@ years ago"	0.0524962
mid-April	0.0520474
"weeks ago"	0.0519487
winter	0.0519317
"a few years ago"	0.0513675
"a few days ago"	0.0512244
"less than @@ minutes"	0.0512044
"nine minutes"	0.0506079
"ten years"	0.0504758
mid-June	0.0504634
"one year ago"	0.0504537
April	0.0503149
"next six months"	0.0501761
two-week	0.0497979
half-hour	0.0497489
"three to five years"	0.0493809
"four times"	0.049265
"over three years"	0.0491658
mid-October	0.0489341
"more than two decades"	0.0489291
"nearly @@ years ago"	0.0488062
"days ago"	0.0486099
))
("a few days ago" (desc 3645.5) (sims
"two months ago"	0.173734
"two days ago"	0.169425
"two weeks ago"	0.15811
"three months ago"	0.154329
"a few weeks ago"	0.149553
"days ago"	0.149241
"six weeks ago"	0.149231
"months ago"	0.148071
"a few months ago"	0.14581
"weeks ago"	0.142451
"about two weeks ago"	0.136708
"four months ago"	0.135287
"eight months ago"	0.131229
"Five months ago"	0.129804
"six years ago"	0.129076
"three weeks ago"	0.124712
"two years ago"	0.118882
"three years ago"	0.115085
"a few years ago"	0.111803
"one month ago"	0.111744
"about @@ years ago"	0.111051
"six months ago"	0.108497
"one year ago"	0.106125
"about @@ months ago"	0.105549
"eight years ago"	0.102221
"seven months ago"	0.100754
"three days ago"	0.0997683
"four years ago"	0.0989962
"seven years ago"	0.0984553
"years ago"	0.0921251
"five years ago"	0.0920025
"week ago"	0.0918184
yesterday	0.090978
"almost @@ years ago"	0.0874168
"more than two years ago"	0.0852765
"one night"	0.0851595
"nine months ago"	0.0849155
"month ago"	0.0810565
"about two years ago"	0.0795943
"two decades ago"	0.0786594
"three times"	0.0784949
"nearly two weeks ago"	0.0768036
"five weeks ago"	0.0762265
"decade ago"	0.0761987
"nearly two years ago"	0.0759406
"from @@@@ to @@@@"	0.0754472
"a few hours"	0.0751338
"nine days ago"	0.0743364
"decades ago"	0.0743089
"one week ago"	0.0739061
"more than @@ times"	0.073862
"about three years ago"	0.0736973
"four decades ago"	0.0734827
"time ago"	0.0732192
"Ten years ago"	0.0717085
"more than @,@@@ years ago"	0.0707535
"seasons ago"	0.0702989
"more than @@ years ago"	0.0684703
"Five days ago"	0.0683334
"about six hours"	0.0674626
"four weeks ago"	0.0672728
"seven times"	0.0670374
"four days ago"	0.0668583
"summers ago"	0.0663733
"six times"	0.0660644
"more than @@@ times"	0.0658449
"one weekend"	0.0633653
"about four years ago"	0.0628164
"over @@ years ago"	0.0622656
"Five times"	0.0609816
"year ago"	0.06081
tonight	0.0604509
"over two weeks"	0.0594417
"four times"	0.0579168
"less than @@ hours"	0.0576823
"about three hours"	0.0575509
"three decades ago"	0.0566754
"nearly @@ years ago"	0.0560849
"nearly three years ago"	0.0556307
"about two months ago"	0.0548732
"more than @@@ years ago"	0.0548129
"about three times"	0.0546458
"nine times"	0.0544957
"over two hours"	0.0541859
"eight days"	0.0540455
"over @@ hours"	0.0539887
"Over three decades"	0.0534463
"nine years ago"	0.0520295
"about @@ hours"	0.0515295
"six hours"	0.0501954
"about five years ago"	0.0479525
"right here"	0.047911
"about @,@@@ years ago"	0.0474542
"six days"	0.0474463
"one sack"	0.0469028
"about four hours"	0.0457584
"less than two years ago"	0.0452143
"about two minutes"	0.045127
"about three weeks ago"	0.0447259
"more than two decades ago"	0.0446251
"seven weeks"	0.0445284
"a few minutes"	0.0443571
"about two hours"	0.0434163
"more than three years ago"	0.0420304
"about five hours"	0.0418404
"a few kilometers"	0.0416027
"eight times"	0.0415848
"eight weeks"	0.040952
))
("a few decades" (desc 1115.75) (sims
"about four years"	0.073954
"two to three weeks"	0.0690703
"over @@ years ago"	0.0654
"less than @@ years"	0.0651107
"one weekend"	0.0644712
"about three months"	0.0631324
"about two years"	0.0630893
"about @,@@@ years ago"	0.0619865
"eight months ago"	0.0619602
"three to five years"	0.0610266
"four decades ago"	0.058282
"four to six weeks"	0.0573722
"up to two weeks"	0.0561808
"up to three months"	0.0554219
"about two months"	0.0529868
"right here"	0.0527769
"about two minutes"	0.0523687
"five to @@ years"	0.0521964
"more than @,@@@ years ago"	0.0518322
"up to @@ months"	0.0513899
"Ten minutes"	0.0509365
"another five years"	0.0500303
"nine weeks"	0.048701
"about three weeks"	0.0483351
"three to six months"	0.0472273
"about @@ months"	0.046321
"another four years"	0.0451256
"Five days ago"	0.0449018
"nine times"	0.0438678
"nearly @@ months"	0.0436421
"Over three decades"	0.043195
"about @@ years ago"	0.0431883
"about @@ hours"	0.0431692
"more than @@@ years ago"	0.0430552
"up to six months"	0.0428879
"about six hours"	0.0424506
"about five years"	0.0421207
"nearly three years"	0.0420487
"two to three years"	0.0420081
"up to @@ years"	0.041936
"about four hours"	0.0418216
"Ten years ago"	0.0418002
"another two weeks"	0.0416793
"about six weeks"	0.041677
"about three years"	0.0416452
"less than three years"	0.0415414
"nine years ago"	0.0411705
"seven months ago"	0.0411411
"more than @@ days"	0.0401723
))
("a few dollars" (desc 4543.83) (sims
"a few hundred dollars"	0.270241
"hundred dollars"	0.223847
"a few thousand dollars"	0.169098
"about $@,@@@"	0.137938
"about $@"	0.137602
"one million dollars"	0.131611
"about $@@@"	0.124914
"about $@@@,@@@"	0.123252
"about $@ million"	0.115668
"about $@@"	0.114786
"million dollars"	0.114033
"about $@@,@@@"	0.109994
"about $@.@@"	0.109187
"thousand dollars"	0.109172
"nearly $@ million"	0.10788
"million yuan"	0.10736
"about $@.@ million"	0.106493
"a few million dollars"	0.106143
"more than @@ million US dollars"	0.104003
"one million US dollars"	0.102702
"about $@@ million"	0.100218
"more than @@@,@@@ yuan"	0.0993964
"nearly $@@"	0.0980519
"over $@@"	0.0976946
"nearly $@@@ million"	0.0960315
"about $@ billion"	0.0960021
"over @@@ million US dollars"	0.094011
"five million yuan"	0.0914141
"more than @@@ million yuan"	0.0913631
"almost $@@ million"	0.0911142
"two cents"	0.0906264
"nearly @@@ million yuan"	0.0892713
"about $@@@ million"	0.0890789
"nearly $@ billion"	0.0888293
"one penny"	0.0874536
"nearly $@@ million"	0.0872949
"over $@,@@@"	0.0872389
"hundred million dollars"	0.0871681
"more than @ billion yuan"	0.0865489
"Over @@@ Million Dollars"	0.0864572
"small fortune"	0.0864144
"over @@ million yuan"	0.0863185
"nearly $@,@@@"	0.0857327
"about $@@ billion"	0.0852434
"more than @@@ million dollars"	0.0851604
"almost $@@@,@@@"	0.0846179
"one billion yuan"	0.0835347
"more than @@ million yuan"	0.083517
"over $@@@"	0.0832222
"nearly $@@@,@@@"	0.0831796
"over @@ million US dollars"	0.0830321
"over @@@ million yuan"	0.0828581
"about $@.@@ million"	0.0825601
penny	0.0821963
"one million yuan"	0.0820285
"more than @@@ million US dollars"	0.0819718
"billion yuan"	0.0818364
"one dollar"	0.0817772
"over $@ million"	0.0811955
"almost $@@,@@@"	0.0808564
"over $@@@ million"	0.0797634
"nearly $@"	0.0787728
"three million yuan"	0.0781222
"two billion yuan"	0.0770689
"nearly $@@,@@@"	0.0770296
"more than @@,@@@ yuan"	0.0769149
"two million yuan"	0.0765849
"over @@@ billion yuan"	0.0758878
"almost $@ million"	0.0756253
"over $@@ billion"	0.0744391
"about $@.@ billion"	0.074032
"more than @@ million dollars"	0.0738788
"hundred thousand dollars"	0.0733174
"about $@@@ billion"	0.0728211
"more than @ billion dollars"	0.0723118
"five billion yuan"	0.0720934
"over $@@@,@@@"	0.071683
"billion dollars"	0.0716018
"over $@ billion"	0.0711096
"more than one billion yuan"	0.0708095
"more than @.@ billion US dollars"	0.0703322
"one billion US dollars"	0.0696091
"about $@@.@@"	0.0689709
"more than @@ billion yuan"	0.0687123
RM@@@	0.0685034
"about @@ billion yuan"	0.0680372
"five cents"	0.0679232
"almost $@@@ million"	0.0665659
"about @@@,@@@ dollars"	0.0664845
"another @@ million dollars"	0.0663469
Nickel	0.0662627
"nearly @@ billion yuan"	0.0650423
"about @.@ billion dollars"	0.0647344
"nearly $@@@ billion"	0.0644893
"nearly $@.@ million"	0.0641915
"record price"	0.0638682
billion	0.0637359
"about @@@ million dollars"	0.0637192
"RM@,@@@"	0.0634718
"about @@@ million yuan"	0.0631899
"nearly @.@ billion yuan"	0.0627144
"about @@ million US Dollars"	0.0625132
"almost $@ billion"	0.0623312
pittance	0.0619405
"about @@ pounds"	0.0617755
dime	0.0615591
"about $@.@@ billion"	0.0615582
"a few points"	0.061545
"more than @@.@ billion yuan"	0.0603715
"RM@@,@@@"	0.0603041
"nearly $@@ billion"	0.0598905
"RM@@@,@@@"	0.0594679
"more than @.@ billion dollars"	0.0592715
"Tanzania Shillings"	0.0577818
"about @ billion dollars"	0.0572426
"over @@ billion yuan"	0.0570115
"blank check"	0.0568855
"one billion dollars"	0.0566489
"over $@@,@@@"	0.0565951
"over $@@ million"	0.0564516
clicker	0.0563652
"about $@@.@ million"	0.0559949
"one cent"	0.0558895
keystrokes	0.0555948
RM@@	0.0552842
"three billion yuan"	0.0548124
"sum of money"	0.0545896
"about @@ million dollars"	0.0541995
"more than @.@ billion yuan"	0.0540896
"a few inches"	0.0532746
"six billion yuan"	0.0529763
"almost $@@ billion"	0.052329
"admission fee"	0.0520742
hankering	0.0520598
"more than @@@ billion yuan"	0.0517859
"Uganda Shillings"	0.0516705
RM@	0.0509475
ruble	0.0508878
"lip service"	0.0501365
"whole lot"	0.0499835
"amount of money"	0.0490146
"about @@ billion dollars"	0.0483968
"three match points"	0.0482281
co-payment	0.0481655
"more than @ billion"	0.0477405
"about @.@@ billion dollars"	0.0476218
"two digits"	0.0475054
one-tenth	0.0471888
"Good Book"	0.0470711
"eight cents"	0.0470505
"about $@@.@ billion"	0.0469961
"one homer"	0.0464349
"one sack"	0.046394
monies	0.0461745
"three inches"	0.0461302
"Zimbabwe Dollars"	0.046083
"about two percent"	0.0460275
restitution	0.0455213
"about @@ points"	0.0453856
"seven points"	0.0453566
metical	0.0450732
"nearly $@.@ billion"	0.0450573
"mouse click"	0.0448908
"nine points"	0.0447466
"more than @@ billion dollars"	0.0443543
euros	0.0442452
"about @@.@ million dollars"	0.0438388
Mapes	0.0438141
gallon	0.043563
"hush money"	0.0433273
"five points"	0.0429805
"over @@ points"	0.0427834
bushel	0.0423534
"eight months"	0.0420951
stopgap	0.0420297
"four points"	0.0420235
"three sacks"	0.0414305
"ransom money"	0.0413669
"plane ticket"	0.0410703
"a few kilometers"	0.0410427
"speeding ticket"	0.0408129
VND	0.0407234
birr	0.0405554
"about two hours"	0.040542
"more than @.@ billion"	0.0403935
"entrance fee"	0.0402441
"two match points"	0.0402028
"trillion dollars"	0.0401678
NHS	0.0401282
breadwinner	0.0400385
"seven hours"	0.0400122
))
("a few hours" (desc 18104.9) (sims
"a few minutes"	0.225555
"about three hours"	0.205236
"three hours"	0.195062
"two hours"	0.190559
"a few days"	0.187632
"six hours"	0.187242
"about @@ minutes"	0.184811
"five hours"	0.182887
"a few weeks"	0.182052
"about two hours"	0.175161
"about @@ hours"	0.16298
"four hours"	0.160678
"five days"	0.160655
"a few months"	0.159446
"five minutes"	0.153773
"more than two hours"	0.152042
"three days"	0.151883
"three weeks"	0.150007
"eight hours"	0.148417
"two days"	0.144657
"more than @@ hours"	0.143104
"eight days"	0.142256
"one hour"	0.14103
"six months"	0.140602
"one week"	0.139191
"six days"	0.137091
"two weeks"	0.135262
"a few years"	0.133784
"four days"	0.133517
"three months"	0.133438
hour	0.133115
"six weeks"	0.132508
"seven hours"	0.132117
"two months"	0.13203
"less than @@ hours"	0.131958
"five months"	0.128034
"one day"	0.127964
"seven weeks"	0.127778
"one month"	0.127741
"one night"	0.124837
"eight months"	0.124291
"nine months"	0.124134
"four months"	0.123295
"about four hours"	0.121797
"four weeks"	0.120887
"nearly two hours"	0.117344
"four years"	0.117236
"one year"	0.117092
"about six hours"	0.116944
"more than three hours"	0.116851
minute	0.115557
"about five hours"	0.115456
"about two minutes"	0.115179
"two years"	0.113699
"nine hours"	0.113658
"three years"	0.112914
"more than @@ minutes"	0.112365
"seven months"	0.111491
"less than two hours"	0.110747
"two nights"	0.108028
"about two months"	0.107511
"eight years"	0.107331
"seven days"	0.106497
"more than two years"	0.106183
"five weeks"	0.106152
"two minutes"	0.105451
"about two weeks"	0.104905
"about one hour"	0.103447
"about five minutes"	0.103367
"over two hours"	0.102936
"nine days"	0.101279
"ten days"	0.100457
"Less than two weeks"	0.100056
"five years"	0.0996591
"six years"	0.0995141
"another @@ years"	0.0987466
"nearly three hours"	0.0986721
"seven years"	0.0978126
"about three weeks"	0.0976674
"eight weeks"	0.0960668
"nine years"	0.0947147
"nearly @@ hours"	0.0938796
"over @@ hours"	0.0917563
"more than five hours"	0.0900829
"nearly @@ minutes"	0.0883379
"one year ago"	0.0881467
"two days ago"	0.0871873
"about @@ years"	0.0857384
"nearly two months"	0.0849087
"about @ @/@ hours"	0.0843149
"short time"	0.0842332
"two weeks ago"	0.0826051
"up to three months"	0.0823279
"eight minutes"	0.0814679
"three minutes"	0.081099
"more than two months"	0.0804964
"one minute"	0.0801968
"week ago"	0.0799443
"up to @@ hours"	0.0796549
"more than six months"	0.0789821
"up to @@ minutes"	0.0788936
"two decades"	0.0786348
"more than @@ years"	0.0784565
"Four minutes"	0.0782328
"three times"	0.0781688
"less than two months"	0.0779136
"another two weeks"	0.0764438
"about three months"	0.0755717
"three nights"	0.0755561
"a few days ago"	0.0751338
"about six months"	0.0747723
"about four years"	0.0746473
"another @@ minutes"	0.0743862
"nearly @@ years"	0.0740469
"more than three months"	0.0740359
"almost two hours"	0.0735836
half-hour	0.0729687
"six minutes"	0.0728609
"two months ago"	0.0727933
"a few weeks ago"	0.0723676
"three weeks ago"	0.0717984
"four months ago"	0.0717842
"less than @@ minutes"	0.0717593
"four years ago"	0.07167
"more than four hours"	0.0710512
"about @@ days"	0.0709605
"eight years ago"	0.0708199
"about two years"	0.0706532
"nearly four hours"	0.0706346
"about @@ months"	0.0706057
"more than two weeks"	0.0705061
"three years ago"	0.0704782
"up to six months"	0.0704052
"up to @@ months"	0.0702499
"about @ hours"	0.0699642
"three to five years"	0.0696507
"more than @@ days"	0.0694663
"more than four years"	0.0690249
"more than three weeks"	0.0678368
"six to eight weeks"	0.0674299
"three days ago"	0.0671662
"more than one year"	0.0666382
"days ago"	0.0661243
"Ten minutes"	0.0659189
decade	0.0657473
"Ten years ago"	0.0657101
"two years ago"	0.0656151
"nine minutes"	0.0655243
"last week"	0.0655178
"right here"	0.0650511
"Five months ago"	0.0649493
morning	0.0649242
"up to @@ days"	0.0648374
"more than three years"	0.0647585
"over two years"	0.0646007
"six months ago"	0.0637469
"more than @@ months"	0.0636953
"seven minutes"	0.0634821
anywhere	0.0631424
"three decades"	0.0631379
"nearly two years"	0.0630548
"two to three weeks"	0.062829
"five years ago"	0.0627451
"three months ago"	0.0625901
"two to three years"	0.0621961
"more than five years"	0.0617649
afternoon	0.0617644
"six weeks ago"	0.0616219
"nearly two weeks"	0.0613854
"four times"	0.0610421
"over three years"	0.0607769
Evening	0.0607523
"three to six months"	0.0603082
nights	0.059358
"ten years"	0.0593174
"nine days ago"	0.0591744
"period of time"	0.0590153
"about three years"	0.0587937
"seven years ago"	0.0585632
"about five years"	0.0585315
"another two years"	0.0583142
"almost two months"	0.058026
yesterday	0.0579319
"more than six years"	0.0579251
"almost @@ years"	0.0573013
"nearly three months"	0.0570604
"nearly five years"	0.0566218
"more than two decades"	0.0562241
"Five days ago"	0.0560829
mid-afternoon	0.055911
"about two years ago"	0.0558638
"over @@ years"	0.0557975
"six years ago"	0.0557613
tonight	0.0556855
"five to @@ years"	0.0555029
"nearly four years"	0.0554096
"two times"	0.054909
"a few years ago"	0.0545692
"weeks ago"	0.054307
"Five times"	0.0538841
))
("a few hundred dollars" (desc 2239.5) (sims
"hundred dollars"	0.324413
"a few dollars"	0.270241
"a few thousand dollars"	0.198116
"more than @@@,@@@ yuan"	0.17411
"about $@,@@@"	0.167424
"thousand dollars"	0.165347
"over @@@ million yuan"	0.162698
"about $@@@"	0.160223
"million yuan"	0.160077
"more than @@ million US dollars"	0.158334
"about @@@ million yuan"	0.15677
"almost $@@,@@@"	0.156748
"about $@@,@@@"	0.15302
"nearly $@@@,@@@"	0.151555
"almost $@@ million"	0.15072
"about $@"	0.146532
"over @@@ million US dollars"	0.144465
"over $@@@ million"	0.142853
"five billion yuan"	0.142348
"about $@.@ million"	0.14109
"five million yuan"	0.140485
"more than @@@ million yuan"	0.138773
"one million dollars"	0.136346
"hundred thousand dollars"	0.13564
"more than @@@ million dollars"	0.135138
"about $@@@,@@@"	0.132814
"nearly $@@,@@@"	0.132163
"more than @@ million yuan"	0.128727
"nearly @@@ million yuan"	0.127202
"one million yuan"	0.126501
"about $@.@@ million"	0.126057
"one million US dollars"	0.124662
"about $@@"	0.122552
"nearly $@@@ million"	0.121398
"million dollars"	0.118415
"billion yuan"	0.117946
"over $@@@"	0.11648
"over $@@@,@@@"	0.116419
"over @@ million yuan"	0.116042
"nearly $@ million"	0.115909
"billion dollars"	0.115647
"about $@@ million"	0.114986
"three million yuan"	0.114429
"about $@ million"	0.114428
"more than @@,@@@ yuan"	0.113749
"over $@ billion"	0.113078
"over $@@"	0.111562
"more than one billion yuan"	0.107648
"nearly $@,@@@"	0.106372
"over $@ million"	0.106206
"almost $@ million"	0.105334
"nearly $@@ million"	0.104245
"almost $@@@ million"	0.103422
"nearly @@ billion yuan"	0.103025
"about $@ billion"	0.102371
"over $@,@@@"	0.101717
"over $@@ billion"	0.101587
"more than @@ billion yuan"	0.101382
"almost $@@@,@@@"	0.0998565
"about $@.@@"	0.0991904
"more than @ billion dollars"	0.0990316
"almost $@@ billion"	0.0989211
"over $@@,@@@"	0.0988091
"RM@,@@@"	0.0981158
"one billion US dollars"	0.0971604
"two billion yuan"	0.0969272
"over $@@ million"	0.0968477
"nearly $@@"	0.0966554
"a few million dollars"	0.095761
"more than @@@ million US dollars"	0.0946648
"nearly @.@ billion yuan"	0.0941118
"hundred million dollars"	0.0940858
"about $@@@ billion"	0.0936085
"nearly $@.@ million"	0.0927548
"about @@ billion yuan"	0.091887
"one billion yuan"	0.0917731
"about @@ million US Dollars"	0.0915593
"over @@ million US dollars"	0.0914351
"more than @.@ billion US dollars"	0.0904337
"about $@@@ million"	0.0901127
"one billion dollars"	0.088936
"more than @@ million dollars"	0.0885862
"about $@.@ billion"	0.0881451
"more than @@@ billion yuan"	0.0870356
"three billion yuan"	0.0870104
"nearly $@.@ billion"	0.0865127
RM@@@	0.0863681
"more than @ billion yuan"	0.0847671
"about $@.@@ billion"	0.083547
"two cents"	0.0833374
"over @@@ billion yuan"	0.0829722
"two million yuan"	0.0818366
"nearly $@@ billion"	0.0816512
"RM@@,@@@"	0.0815446
"about $@@ billion"	0.0815108
"RM@@@,@@@"	0.080709
"more than @@.@ billion yuan"	0.0797223
"about @@ million dollars"	0.0794664
"Over @@@ Million Dollars"	0.0792163
"small fortune"	0.0791833
"about @@@ million dollars"	0.0784469
"more than @.@ billion yuan"	0.0773155
"six billion yuan"	0.076494
"a few points"	0.0762547
"about $@@.@@"	0.0756678
"a few inches"	0.0749812
"one penny"	0.07422
"almost $@ billion"	0.072589
"five cents"	0.0709637
"sum of money"	0.0702216
"nearly $@@@ billion"	0.0700799
"nearly $@ billion"	0.0700119
RM@@	0.0691498
"about @@ pounds"	0.0685546
"more than @.@ billion dollars"	0.0683258
"about @@@,@@@ dollars"	0.0681714
"over @@ billion yuan"	0.0662238
"another @@ million dollars"	0.0658508
"Tanzania Shillings"	0.0644323
"more than @@ billion dollars"	0.0643315
"nearly $@"	0.0642333
"about @ billion dollars"	0.063936
penny	0.0621345
RM@	0.0599347
"one sack"	0.0594153
"two digits"	0.0593235
"another first"	0.059031
"less than @@@"	0.0583164
"about @@.@ million dollars"	0.0576364
"lip service"	0.0575764
"about $@@.@ billion"	0.0573755
"about @.@ billion dollars"	0.0570801
"about two percent"	0.057006
"over @.@ billion yuan"	0.0564713
"about $@@.@ million"	0.0561406
"ransom money"	0.0560619
"hush money"	0.0544782
"about @ pounds"	0.0540205
"more than @ billion"	0.0537006
birr	0.0536284
Nickel	0.0530554
"one dollar"	0.0527454
"seven billion yuan"	0.0522991
"a few kilometers"	0.051802
pataca	0.0517491
"admission fee"	0.0516522
"about one-fifth"	0.0516449
"five to @@"	0.0515336
U.S.dollars	0.0511782
"about @@@ to @@@"	0.0509094
"admission price"	0.050807
"one cent"	0.0505187
"two billion US dollars"	0.0505004
"trillion dollars"	0.0504058
reais	0.0497951
pittance	0.0496006
"entrance fee"	0.0492856
metical	0.049219
"nine points"	0.0491483
"about one-tenth"	0.0488461
"about @@-@@"	0.0483165
"one homer"	0.0482841
one-tenth	0.0477171
off-day	0.0476424
Cormier	0.047434
"bus fare"	0.0471857
"about @ @/@ hours"	0.0471565
"two billion"	0.0468903
"about @@@ million US dollars"	0.0467181
tenths	0.0465903
"a few meters"	0.0463772
"record price"	0.0463688
"whole lot"	0.0463657
"more than @.@ billion"	0.0461897
"seven points"	0.0460043
"user fee"	0.0455545
one-fifth	0.0453561
"down payment"	0.0453077
"Emmy Award"	0.0452593
"one tenth"	0.0444347
winnings	0.0443426
AMT	0.044304
"about @@ to @@"	0.0440996
"one quarter"	0.0439158
patching	0.0438181
"over @@ hours"	0.0438012
dime	0.043691
"mouse click"	0.0432957
shekel	0.0432914
"two pitchers"	0.0432559
"hundred thousand"	0.0432442
"about @@ hours"	0.0431134
"Zimbabwe Dollars"	0.0430487
"five points"	0.0426886
"seven hours"	0.0426785
spacewalks	0.0426156
enrollee	0.0424196
"Pac Bell"	0.0423152
"three cents"	0.0421878
"thousand years"	0.0421011
))
("a few hundred yards" (desc 4098.2) (sims
"about @@@ yards"	0.161816
"a few yards"	0.155239
"a few miles"	0.138241
"a few meters"	0.135709
"two miles"	0.126558
"about @@@ meters"	0.122934
"about two miles"	0.112644
"a few kilometers"	0.110813
"about four miles"	0.109264
"four miles"	0.104588
"about one kilometer"	0.104561
"hundred yards"	0.103596
"about @@ yards"	0.102379
"half mile"	0.102171
"two kilometers"	0.10012
"about @ miles"	0.100001
"five miles"	0.0994919
"about five miles"	0.0972879
"eight miles"	0.0947287
"about @@ meters"	0.0941523
"three miles"	0.0937083
"seven miles"	0.0918592
"more than @@ miles"	0.091435
"three kilometers"	0.0883906
"five kilometers"	0.0877516
"about three miles"	0.0853684
"four kilometers"	0.085041
"quarter mile"	0.0818088
"about @@ miles"	0.0785817
"one kilometer"	0.074413
"about @@ kilometers"	0.068937
"less than @@ miles"	0.0674226
"a few inches"	0.0650403
"about @@ km"	0.0641307
"about @@@ miles"	0.0640943
"one mile"	0.0620981
"about six miles"	0.0601419
"nine miles"	0.0600673
"eight kilometers"	0.0588157
"six inches"	0.0574395
Lightyear	0.0568795
"six miles"	0.0567245
"two inches"	0.0564747
"more than @@@ miles"	0.0562354
"single file"	0.0550305
"hundred miles"	0.0546943
"four inches"	0.0543046
"more than @,@@@ miles"	0.0531993
"about @@ inches"	0.0530541
"six kilometers"	0.0519215
"more than @@@ yards"	0.0509314
"about @@@ kilometers"	0.0485087
"five meters"	0.0484971
"about @@@ km"	0.0484787
"about @,@@@ miles"	0.0479117
Shiva	0.0454917
"up to @@ miles"	0.0441549
"distress signal"	0.0420163
shoulder-to-shoulder	0.041881
"Nearly @@@ miles"	0.0409899
"about @,@@@ kilometers"	0.0403413
berm	0.0401841
))
("a few inches" (desc 5668.26) (sims
"two inches"	0.207187
"about @ inches"	0.183701
"four inches"	0.181255
"three inches"	0.167921
inch	0.164709
"six inches"	0.159781
"about @@ inches"	0.14982
"two meters"	0.128256
"up to @@ inches"	0.122476
"one meter"	0.113636
"about @@ yards"	0.113139
half-inch	0.112285
"a few yards"	0.111772
"five meters"	0.110716
"a few meters"	0.0928618
"about @@@ yards"	0.0910199
"one inch"	0.0890558
"two kilometers"	0.0875509
"more than @@ inches"	0.0852759
"nine miles"	0.0852212
"about @@@ meters"	0.084234
"two miles"	0.0800953
"about @@ meters"	0.0796875
"a few hundred dollars"	0.0749812
"one kilometer"	0.0741841
"three miles"	0.0736636
"five kilometers"	0.0724824
one-timer	0.0700717
centimeter	0.0698515
"four miles"	0.0697079
"Up to @ inches"	0.0690702
"three meters"	0.0660902
"eight miles"	0.0655413
"two cents"	0.0654467
"six miles"	0.0653633
"a few hundred yards"	0.0650403
tad	0.0639891
"three kilometers"	0.0634869
"a few points"	0.0631179
"about @@@ points"	0.0629267
meter	0.0619517
"a few kilometers"	0.0606731
"hundred yards"	0.0593966
"five cents"	0.0591101
"one cent"	0.0588442
"seven miles"	0.0584088
"about two miles"	0.0583615
"a few thousand dollars"	0.0582904
"more than @@ miles"	0.0582666
"about @@ kilometers"	0.0557453
"more than @@@ miles"	0.0553745
"Three and Four"	0.0548241
"nine cents"	0.0545997
"pirate ship"	0.0539633
wrister	0.053354
"a few dollars"	0.0532746
"about one kilometer"	0.0531286
"about @@ degrees"	0.0529739
"two points"	0.052465
"up to @@ miles"	0.0520991
millimeter	0.05194
"half mile"	0.0511382
"quarter mile"	0.0491387
"over six"	0.0491109
"hundred miles"	0.0489525
"cubic meter"	0.0484108
"about @@ points"	0.0477934
"about @@ miles"	0.0470643
"more than @,@@@ kilometers"	0.0466574
"approach shot"	0.0457587
"nearly @@@ points"	0.0456504
"up to @"	0.0456296
"eight cents"	0.0442871
"Airbus @@@"	0.0442799
"more than @@@ points"	0.0442789
"about @@@ miles"	0.044055
"about @@@ kilometers"	0.0439419
"a few miles"	0.0437602
"sand wedge"	0.0437041
sharemarket	0.0436193
wage-earner	0.0436039
splotch	0.0434644
"about @,@@@ miles"	0.043381
"almost $@@ billion"	0.0433081
"one mile"	0.0432855
"four kilometers"	0.0429642
"about @ miles"	0.0426058
"over @@ points"	0.0424633
Partway	0.0415257
Lightyear	0.0409375
"three points"	0.0407963
octave	0.040416
lint	0.0402709
"over @"	0.0401365
"square inch"	0.0400636
"more than @@@ kilometers"	0.040025
))
("A few key" (desc 1116.25) (sims
"Three key"	0.260362
"four key"	0.246869
"two key"	0.244411
"five key"	0.207008
"One key"	0.206731
defining	0.154189
Thirty-two	0.115744
forty	0.112336
Thirty-one	0.108139
midlevel	0.103158
Forty-four	0.102494
Thirty-three	0.0948246
"five to @@"	0.0931733
"up to eight"	0.092972
forgotten	0.0885402
"other @@@"	0.0881488
"more than three"	0.0872638
Forty-five	0.085119
"almost @ million"	0.0850915
"personal business"	0.0842011
"talk of the town"	0.0837946
Thirty-five	0.0820908
non-European	0.0813684
Forty-two	0.0813056
"six to @@"	0.078621
spoken	0.07859
Thirty-six	0.078323
Thirty-four	0.0777316
"more than seven"	0.0774278
"more than four"	0.0756289
dovish	0.0746296
midrange	0.07453
"half a dozen"	0.0740177
"Other @@"	0.0732164
"more than @.@@ million"	0.071961
"two dozen"	0.0715131
forbidden	0.0714233
Thirty-nine	0.0713157
"nearly one million"	0.0711282
"up to six"	0.0708238
Sixteen	0.0692937
B@B	0.0690218
nuts-and-bolts	0.0675274
"Orthodox Jewish"	0.0671068
topspin	0.0668953
"more than eight"	0.0668852
Forty-seven	0.0657551
special-teams	0.065067
Sung	0.0650632
Downstate	0.0640475
Fourteen	0.0638467
"more than five"	0.063779
Eighteen	0.063425
"first @"	0.0633015
"close to @@,@@@"	0.0627434
Thirty-eight	0.06266
Nineteen	0.0625877
"up to four"	0.0622345
gimmicky	0.0620832
"other seven"	0.0618741
"other five"	0.06187
"another nine"	0.0618055
"another four"	0.0611356
"other six"	0.0601133
CGI	0.0599814
"about three"	0.0596751
"other nine"	0.0593104
Khmer	0.0591061
Afrikaans	0.0589092
"Israeli Arab"	0.0586434
nonwhite	0.0583724
"another seven"	0.0581151
"two @@@@"	0.0573993
"four to five"	0.0571758
"other eight"	0.0568562
ex-communist	0.0566557
"close to @@"	0.0565088
"over seven"	0.0559979
"other four"	0.0559722
"almost two"	0.0551004
Uri	0.054916
Maasai	0.0545336
"next six"	0.054526
"up to five"	0.0544352
three-point	0.0542491
"Ulster Unionist"	0.054244
Rafah	0.0541495
Abkhazian	0.0540436
"about six"	0.0533595
Younger	0.0532812
Farsi	0.0530352
second-most	0.0528042
fastbreak	0.0527041
"six to eight"	0.0526842
throwaway	0.0521641
"up to @,@@@"	0.0521261
Behind-the-scenes	0.0520334
"Jekyll and Hyde"	0.0519612
"another six"	0.0518455
"Around @@@"	0.051792
"eight to @@"	0.0517763
"Nearly @.@ million"	0.0514563
bedrock	0.0514437
"More than three million"	0.0514354
"first four"	0.0508657
"three to five"	0.0507317
"Christian Democrat"	0.0505156
"pork barrel"	0.050383
BASQUE	0.050133
"close to @,@@@"	0.0498753
"Another two"	0.0496513
twenty	0.0496214
small-business	0.0494852
sought-after	0.0493189
"Bay Ridge"	0.0491718
Japanese-American	0.0488737
SNL	0.0486535
"another five"	0.0485574
"the very best"	0.0485022
Clintonian	0.048323
"Seven million"	0.0480449
"two to three"	0.0480294
"nearly three"	0.0478593
"Rocky Mountain"	0.0478346
"skin care"	0.0477238
Fifty	0.0477093
Thirty	0.0476449
wacko	0.0476198
"first nine"	0.047342
oddball	0.0472748
helluva	0.0471173
high-stakes	0.0471033
Asian-American	0.0470216
"eight million"	0.0469389
Islamist	0.0465771
"Nearly two"	0.0464175
"up to two"	0.0462062
"about five"	0.0460364
"Irish Catholic"	0.0459844
hardline	0.0454457
"Over one"	0.0454341
Seahawk	0.0454204
down-and-out	0.0453871
"Deer Valley"	0.0453663
tuba	0.0453117
"first @@@"	0.0450604
hawkish	0.044938
barnyard	0.0449096
Ibo	0.0446959
"More than two million"	0.0446395
carry-on	0.0444863
hardball	0.0444722
Clinton-Lewinsky	0.0444388
Riverdale	0.0442799
putback	0.0441262
Sanskrit	0.0441125
Rajshahi	0.0439111
"French Canadian"	0.0438746
"next @@"	0.0438271
"up to seven"	0.0437944
"East Bay"	0.0436939
Slavic	0.0434599
"French horn"	0.0432777
"Beibu Gulf"	0.0431004
"St. Albans"	0.0430898
Laker	0.0428982
"small cap"	0.0428026
public-relations	0.0427471
Italian-American	0.0427439
multiplayer	0.0426675
one-word	0.0425429
Navajo	0.0424148
"first eight"	0.0422382
"Ivy League"	0.0421696
"Long Island City"	0.0419619
nitty-gritty	0.0419297
Lego	0.0418586
Fifty-five	0.0416665
now-famous	0.0415907
"Brighton Beach"	0.0415575
"Old Town"	0.0413043
artsy	0.0412552
slipcover	0.0410883
ultra-Orthodox	0.040971
"about @@@ to @@@"	0.0409355
Zacatecas	0.0406791
"more than four million"	0.0405608
Oedipal	0.0403744
two-point	0.0403721
"New York Republican"	0.0403016
pro-business	0.040258
Fordham	0.0402437
"Twin Cities"	0.0401894
"over @.@ million"	0.0401157
Alltel	0.0400105
"first six"	0.0400051
))
("a few kilometers" (desc 2057.28) (sims
"four kilometers"	0.253417
"about five miles"	0.240497
"five kilometers"	0.237713
"eight kilometers"	0.236149
"three kilometers"	0.233759
"six kilometers"	0.228629
"a few meters"	0.220135
"eight miles"	0.215067
"about one kilometer"	0.20902
"about @@ km"	0.205265
"about six miles"	0.19372
"about @ miles"	0.192592
"nine miles"	0.182174
"four miles"	0.181397
"about two miles"	0.18115
"about @@ kilometers"	0.181102
"about three miles"	0.176626
"about @@@ km"	0.1753
"seven miles"	0.173178
"two miles"	0.172792
"about four miles"	0.169124
"one kilometer"	0.164212
"six miles"	0.158337
"a few miles"	0.15672
"five miles"	0.156135
"three miles"	0.153209
"more than @@ miles"	0.147792
"a few yards"	0.146975
"Nearly @@@ miles"	0.144683
"over @@@ kilometers"	0.140621
"one mile"	0.13501
"about @@@ meters"	0.134689
"hundred yards"	0.131956
"about @@ miles"	0.129054
"two kilometers"	0.128251
"less than @@ miles"	0.126769
"about @,@@@ miles"	0.126534
"more than @@@ miles"	0.125877
"hundred miles"	0.121539
"about @@@ kilometers"	0.11867
"about @@@ yards"	0.117401
"a few hundred yards"	0.110813
"half mile"	0.109539
"about @@@ miles"	0.108432
"about @,@@@ kilometers"	0.108069
"more than @@@ kilometers"	0.106853
"quarter mile"	0.0995032
"about @@ meters"	0.0947292
kilometer	0.0850231
"a few points"	0.0807082
frontlines	0.0798583
"up to @@ miles"	0.0767145
"mouse click"	0.0713535
"more than @,@@@ miles"	0.0708983
"about two hours"	0.068756
"single file"	0.0633284
"Khalid Khannouchi"	0.0632614
Lightyear	0.0626876
"about @@ yards"	0.0624195
"a few inches"	0.0606731
"Interstate @"	0.0598513
"four inches"	0.0594511
"about three hours"	0.0579333
kibbutz	0.0547575
"over $@@ billion"	0.0520311
"Delaware River"	0.0519804
"a few hundred dollars"	0.051802
"one sack"	0.0516111
"six inches"	0.0513412
upriver	0.0511185
"mountain pass"	0.0503354
"one homer"	0.0496269
"Antelope Valley"	0.04931
picketers	0.0491532
"over $@@"	0.0490225
"about @@ degrees"	0.0480077
"one meter"	0.0473589
"two inches"	0.0459222
"Baltic Sea"	0.0459012
"base runner"	0.0458241
divider	0.0458007
"coastal plain"	0.0455127
"Andrea Gail"	0.045085
"about one-quarter"	0.0443778
"Route @@"	0.0443064
"over $@@@"	0.0440021
hundredth	0.0437971
"Shiite Muslim"	0.0434672
foothill	0.0434139
"over @"	0.0430447
"state highway"	0.0429938
"Ohio River"	0.0429757
"Matt Luke"	0.042817
"Missouri River"	0.0427852
frontage	0.041943
"Columbia River"	0.0415599
"Russ Ortiz"	0.0412958
three-mile	0.0412817
jut	0.0412801
Okinawan	0.0411978
upfield	0.0411867
"a few dollars"	0.0410427
north-south	0.0408262
"about @@ inches"	0.0407566
"Mekong River"	0.0405983
"city block"	0.0403176
))
("a few lines" (desc 1379.95) (sims
"one line"	0.156016
"four lines"	0.114178
snippet	0.0826144
stanza	0.0808132
"a few words"	0.0771641
"Lord's Prayer"	0.0759309
"Amazing Grace"	0.0733256
cappella	0.0729208
"one word"	0.0679698
hyphen	0.0663359
capella	0.0662084
"first word"	0.0657371
recitative	0.0656568
"first words"	0.0639321
grafs	0.0632886
Lullaby	0.0629687
ream	0.0610296
zinger	0.0609679
"second unit"	0.0603008
endoscope	0.0589026
transcription	0.05819
"one million dollars"	0.0576137
psalm	0.0569446
Posting	0.0553885
"Star-Spangled Banner"	0.0553614
syllable	0.0549148
"three pitchers"	0.0548381
Counsell	0.0545456
"Chapter @"	0.053919
Susanna	0.0535489
"Happy Birthday"	0.0535001
"fictional character"	0.0534336
Ruehe	0.0533682
"UNIX operating system"	0.0530613
benediction	0.0526552
ditty	0.0523475
adenovirus	0.0515808
homily	0.0510324
explication	0.0505098
"last two digits"	0.0502785
bolero	0.0502287
exaltation	0.050182
"full page"	0.0498378
"two lines"	0.0494725
"Cliffs Notes"	0.0492235
"piece of music"	0.0490508
"form letter"	0.0489469
"two words"	0.0489293
Wilhelm	0.0485044
"computer language"	0.0484923
hand-me-down	0.047785
Advani	0.0475813
defibrillator	0.0474963
"first line"	0.047446
"a few thousand dollars"	0.0471391
blackbird	0.0469114
Spielman	0.0468356
"magnetic resonance imaging"	0.0465117
finalization	0.0463172
"speech pattern"	0.0462201
"utility program"	0.046133
"one mile"	0.0460827
Karimov	0.0459631
"coaxial cable"	0.0459468
remixes	0.045748
"Radio Free Asia"	0.0457094
Denise	0.0456989
Jovanovic	0.0455415
"distress signal"	0.0454735
"fig leaf"	0.0453921
cadence	0.0453845
"more than @@@ million dollars"	0.0450961
Chrissie	0.0448543
TPA	0.0448347
Fernandes	0.0448209
"Section @@@"	0.0447762
Moratinos	0.044767
Spirlea	0.0446659
"one section"	0.044567
panhandler	0.0445161
"Article @@@"	0.0444106
"data file"	0.0443044
three-pointers	0.0443031
"one inch"	0.0442991
cantata	0.0439673
baserunner	0.043742
drafters	0.0435811
Alonzo	0.0431009
techie	0.0428914
thinness	0.0428466
zingers	0.04262
Zing	0.0425363
Sheehan	0.0425218
preface	0.0424756
Grachev	0.0424373
"Christmas present"	0.0422944
dramatization	0.042201
gibberish	0.0421887
"marriage proposal"	0.0421654
continuance	0.042117
Lucia	0.0420908
send-off	0.0418948
Mackey	0.041792
fugue	0.0417374
Diagnoses	0.0417368
watermark	0.0416705
"nearly @@@ million yuan"	0.0416676
"six tons"	0.0416461
"folk song"	0.0415519
"Chapter @@"	0.0414989
"phone book"	0.0413228
"parking ticket"	0.0412973
"chemical compound"	0.0411065
"won eight"	0.0410563
"Lee Hsien Loong"	0.0409713
particularity	0.0409554
URL	0.0408798
"chorus line"	0.040815
"title role"	0.0405375
"two inches"	0.0404302
"less than four minutes"	0.0404122
"sum total"	0.040411
bluntness	0.0403761
fluency	0.0403652
"blank check"	0.0403164
Trulock	0.0402896
earful	0.0402628
preamble	0.0402156
"Revised Version"	0.0400181
))
("a few meters" (desc 2128) (sims
"about @@ meters"	0.254222
"a few kilometers"	0.220135
"about @@@ meters"	0.193836
"a few yards"	0.181765
"three kilometers"	0.179842
"two kilometers"	0.177416
"five kilometers"	0.169365
"five meters"	0.168078
"four kilometers"	0.15501
"about @@@ yards"	0.14555
"hundred yards"	0.14248
"about one kilometer"	0.140259
"a few hundred yards"	0.135709
"about two miles"	0.134449
"two miles"	0.134358
"one kilometer"	0.134214
"two meters"	0.133069
"about @@ yards"	0.125132
"a few miles"	0.121363
"half mile"	0.11981
"about five miles"	0.119496
"three miles"	0.117886
"eight miles"	0.109618
"eight kilometers"	0.108805
"four miles"	0.108521
"more than @@ miles"	0.106576
"seven miles"	0.103922
"five miles"	0.100845
Lightyear	0.09944
"about four miles"	0.0982378
"about @@ km"	0.0961761
"six miles"	0.095698
"about @ miles"	0.0937545
"about six miles"	0.0931911
"a few inches"	0.0928618
"about @@ miles"	0.0925915
meter	0.0904142
"more than @@@ miles"	0.0870596
"about @@@ miles"	0.0859261
"quarter mile"	0.0849674
"about @@@ km"	0.0823669
"two inches"	0.0807781
"one mile"	0.0804076
"six kilometers"	0.0801578
"nine miles"	0.0796
"about @@ kilometers"	0.0782216
"four inches"	0.0758727
"a few points"	0.0746965
"mouse click"	0.0724892
"about three miles"	0.0723
"about @@@ kilometers"	0.0679381
"less than @@ miles"	0.0667193
"about @ inches"	0.0666362
Taffarel	0.0645771
"one meter"	0.0624098
"six inches"	0.0623572
"about @@ inches"	0.0622978
"about @,@@@ miles"	0.061065
Finney	0.0606112
"Nearly @@@ miles"	0.0603275
"one sack"	0.0554314
"Robert Jarni"	0.0546656
"seven weeks"	0.0544059
"one inch"	0.0542616
"about @@@ points"	0.0535213
out.	0.0517388
"over $@@ billion"	0.0491454
slapper	0.0487845
"Rio Grande"	0.048194
"positive feedback"	0.0477292
"security consultant"	0.0474967
"a few thousand dollars"	0.0473241
gibberish	0.0471993
"more than @,@@@ miles"	0.0470933
"nearly $@"	0.0464271
"a few hundred dollars"	0.0463772
"one homer"	0.0461448
"one shot"	0.0461048
shoulder-to-shoulder	0.0459836
"hundred miles"	0.0459412
"over $@@"	0.0456723
"three inches"	0.0451643
"more than @@@ yards"	0.0447897
"two cents"	0.0437577
"Belmont Learning Center"	0.04371
"up to @@ miles"	0.0435746
"entrance fee"	0.0435583
"one second"	0.0434185
"single file"	0.0434178
"Ten minutes"	0.0433217
eviction	0.0432406
"about @@ to @@"	0.0425269
serviceman	0.0424709
fallow	0.0423595
amaryllis	0.0423573
half-game	0.0421327
"closed-circuit television"	0.0420527
"about @@ days"	0.0420397
"five spot"	0.0419904
houseplant	0.0416121
"Singapore Press Holdings"	0.0415494
rollovers	0.0414694
"flower garden"	0.0413199
"virgin forest"	0.0411497
"two digits"	0.0409691
"railroad track"	0.0407098
"over six"	0.0405743
"five cents"	0.0404495
"Eric Harris"	0.0401421
"two pitchers"	0.0400124
))
("a few miles" (desc 17222.5) (sims
"three miles"	0.22392
"about @@ miles"	0.214679
"about two miles"	0.211616
"two miles"	0.209633
"five miles"	0.208007
"about @@ kilometers"	0.179228
"four miles"	0.173876
"eight miles"	0.167623
"about @@@ miles"	0.161701
"about five miles"	0.160873
"about six miles"	0.159765
"about three miles"	0.158949
"about @@@ yards"	0.158011
"about @@ km"	0.157078
"a few kilometers"	0.15672
"about four miles"	0.156068
"six miles"	0.15355
"about @@@ km"	0.153328
"about @ miles"	0.15272
"five kilometers"	0.15267
mile	0.151307
"seven miles"	0.148866
"three kilometers"	0.14706
"about @@@ meters"	0.145222
"about @@@ kilometers"	0.145023
"a few hundred yards"	0.138241
"more than @@@ miles"	0.136509
"a few yards"	0.135885
"nine miles"	0.134409
"four kilometers"	0.131999
"hundred miles"	0.131063
"less than @@ miles"	0.128694
"half mile"	0.127465
"more than @@ miles"	0.125822
"Nearly @@@ miles"	0.124507
"about @,@@@ miles"	0.121651
"a few meters"	0.121363
"eight kilometers"	0.12002
"one mile"	0.119032
"more than @@@ kilometers"	0.118892
"two kilometers"	0.114721
"about @,@@@ kilometers"	0.113426
"one kilometer"	0.111445
"six kilometers"	0.109786
"about one kilometer"	0.10813
"quarter mile"	0.103699
"about @@ yards"	0.0966534
"over @@@ kilometers"	0.0905957
"hundred yards"	0.0875833
"more than @,@@@ miles"	0.0800042
kilometer	0.0788959
"about @@ meters"	0.0717721
east	0.0596741
southwest	0.0580255
southeast	0.0565257
northwest	0.0531173
yard	0.0528265
longer	0.0496291
"Highway @@"	0.0478406
Northeast	0.0477478
"about @@ minutes"	0.0476967
"main road"	0.0467436
"about two hours"	0.0463353
"four inches"	0.0449848
"a few inches"	0.0437602
"Highway @@@"	0.04359
"supply route"	0.0435535
opposite	0.0433968
downriver	0.0412746
debris	0.0411905
"a few hours"	0.0400198
))
("a few million dollars" (desc 812.241) (sims
"nearly @@@ million yuan"	0.29667
"nearly @.@ billion yuan"	0.271641
"about @@ billion yuan"	0.263729
"about @@@ million yuan"	0.258608
"almost $@@@ million"	0.253259
"more than @ billion yuan"	0.241478
"over @@@ million US dollars"	0.23904
"more than one billion yuan"	0.229719
"six billion yuan"	0.223173
"over @.@ billion yuan"	0.222872
"over @@@ billion yuan"	0.22203
"three million yuan"	0.221005
"over @@@ million yuan"	0.218262
"more than @@ million dollars"	0.21529
"more than @@@ million US dollars"	0.213806
"million yuan"	0.210296
"five million yuan"	0.205941
"more than @@@ million yuan"	0.205586
"five billion yuan"	0.20161
"over @@ million US dollars"	0.200583
"three billion yuan"	0.200111
"over $@ billion"	0.19988
"one million US dollars"	0.198132
"more than @@ million US dollars"	0.196169
"more than @ billion dollars"	0.195045
"more than @.@ billion yuan"	0.194441
"more than @.@ billion dollars"	0.19351
"Over @@@ Million Dollars"	0.191604
"over @@ million yuan"	0.190919
"nearly @@ billion yuan"	0.190364
"over @@ billion yuan"	0.189914
"more than @@ million yuan"	0.186402
"more than @@ billion US dollars"	0.185377
"more than @@@ million dollars"	0.181589
"more than @@@,@@@ yuan"	0.176854
"one billion US dollars"	0.175985
"hundred thousand dollars"	0.175046
"two billion yuan"	0.173163
"more than @@ billion yuan"	0.172669
"two million yuan"	0.17188
"about @@@ million US dollars"	0.169389
"one billion yuan"	0.167467
"nearly $@.@ million"	0.165601
"over $@@@ million"	0.164619
"almost $@ million"	0.164559
"about $@.@@ billion"	0.1642
"about @@ million US Dollars"	0.163978
"billion yuan"	0.162386
"one million yuan"	0.161375
"nearly $@@@ million"	0.161235
"more than @@ billion dollars"	0.160339
"nearly $@@"	0.160094
"more than @.@ billion US dollars"	0.159236
"almost $@ billion"	0.158511
"a few thousand dollars"	0.157875
"nearly $@.@ billion"	0.155283
"seven billion yuan"	0.155171
"one billion dollars"	0.15394
"almost $@@ million"	0.153936
"almost $@@,@@@"	0.152479
"one million dollars"	0.152107
"almost $@@@,@@@"	0.151511
"four billion yuan"	0.15112
"hundred million dollars"	0.147612
"two billion US dollars"	0.146237
"another @@ million dollars"	0.1415
"more than @@.@ billion yuan"	0.140094
"more than @@@ billion yuan"	0.136875
"thousand dollars"	0.135979
"nearly $@,@@@"	0.1341
"about $@@.@ million"	0.133759
"about $@@@ billion"	0.13209
"nearly $@@@,@@@"	0.131592
"about $@.@ billion"	0.126265
"about @.@ billion dollars"	0.125352
"about $@.@ million"	0.124837
"million dollars"	0.124796
"about @@ million dollars"	0.122812
"about $@ million"	0.120853
"nearly $@@ billion"	0.119081
"nearly $@ billion"	0.119067
"more than @@,@@@ yuan"	0.118076
"hundred dollars"	0.116204
"about @.@ billion US dollars"	0.116173
"about $@@ million"	0.116091
"nearly $@@ million"	0.116032
"about $@@ billion"	0.1138
"over $@@ million"	0.113799
"almost $@@ billion"	0.112567
"one penny"	0.112087
"about @ billion dollars"	0.111801
"about $@ billion"	0.11152
"about @@ billion dollars"	0.111288
"about $@@@ million"	0.110904
"small fortune"	0.10668
"about @@@ million dollars"	0.106561
"about $@@.@ billion"	0.106535
"a few dollars"	0.106143
"over $@ million"	0.106111
"over $@@@"	0.103943
"nearly $@ million"	0.0999843
"about @@@,@@@ dollars"	0.0991445
"nearly $@"	0.0972174
"three match points"	0.0962237
"a few hundred dollars"	0.095761
"about $@@,@@@"	0.092471
"billion dollars"	0.092323
"over $@@,@@@"	0.0921275
"about $@@@,@@@"	0.0919318
metical	0.0917747
"Uganda Shillings"	0.0913017
"nearly $@@,@@@"	0.0857151
"about $@.@@ million"	0.0856635
"nearly $@@@ billion"	0.0855715
"Tanzania Shillings"	0.085076
"over $@@@,@@@"	0.0845302
"over $@@ billion"	0.0845114
"sum of money"	0.0831876
"about $@,@@@"	0.0818348
"Deutsche Mark"	0.0816091
KUNA	0.0815488
"about $@@@"	0.0798215
wherewithal	0.0795218
RM@@@	0.0788718
"break of serve"	0.0784885
pataca	0.0761703
"over $@,@@@"	0.0741682
"about @@.@ million dollars"	0.0735396
Mapes	0.0726953
"over $@@"	0.0716113
"Zimbabwe Dollars"	0.0711511
"another @"	0.0711248
"about $@"	0.0679722
crore	0.0677446
birr	0.0672314
zillion	0.0671684
"six billion"	0.0669486
VND	0.0669301
"billion over @@ years"	0.06518
"tax change"	0.0648293
dinar	0.0644973
monies	0.0644619
"more than @.@ billion"	0.0640254
one-seventh	0.0633985
"about @.@@ billion dollars"	0.0628212
"more than @ billion"	0.0617453
cardholders	0.0611192
"less than @.@ percent"	0.0609115
"less than @"	0.0608465
"Exchange Fund"	0.0603852
"RM@@@,@@@"	0.0594191
tenge	0.0592132
"about $@.@ trillion"	0.0590599
"RM@,@@@"	0.0589967
"nearly @@ points"	0.058876
"about two percent"	0.0585546
"blank check"	0.0584775
GPU	0.0583066
Gores	0.0580982
"one dollar"	0.058046
"more than @@ yards"	0.0578794
"trillion dollars"	0.0574559
Gilead	0.0572494
"about @.@ million dollars"	0.0568003
"two match points"	0.0567099
MBNA	0.0565849
"Suez Canal"	0.0563954
team-high	0.0563031
"leisure time"	0.0562449
hryvna	0.056125
Webcam	0.0560469
NKP	0.0558476
"RM@@,@@@"	0.0558114
shekel	0.0553135
WPP	0.0553111
centimeter	0.054905
Adelphia	0.0542349
"about $@.@@"	0.0542004
downtime	0.0540522
Litton	0.0539129
DAX	0.0533403
"two baskets"	0.0531833
korun	0.0526168
"carte blanche"	0.0525782
"another @-pointer"	0.0517794
"another @.@ percent"	0.0515125
"up to @"	0.0514502
NTL	0.0513287
Danka	0.0509871
ECUs	0.0506131
third-graders	0.0505777
Medtronic	0.0504695
"raw talent"	0.0502733
"million over five years"	0.0501822
wage-earner	0.0501121
"five spot"	0.0496766
"reserve fund"	0.0496704
"two cents"	0.049223
ECU	0.0486353
BNFL	0.0485649
))
("a few minutes" (desc 18947.6) (sims
"about @@ minutes"	0.283171
"a few hours"	0.225555
"five minutes"	0.211676
"about @ minutes"	0.18421
"about five minutes"	0.173464
"two hours"	0.160345
"three hours"	0.158859
"more than two hours"	0.156743
"six hours"	0.156524
"another @@ minutes"	0.155124
minute	0.154789
"about three hours"	0.153741
"a few days"	0.153653
"about two hours"	0.152095
"a few weeks"	0.149681
"more than @@ minutes"	0.147952
"four hours"	0.146767
"two minutes"	0.14614
"a few months"	0.136034
"five hours"	0.132788
"seven hours"	0.132066
"nearly two hours"	0.130523
"one hour"	0.130055
"nearly @@ minutes"	0.127172
"about @ hours"	0.125294
"five days"	0.123987
"a few years"	0.123872
"about @ minute"	0.121362
"about @@ hours"	0.120969
hour	0.120935
"three weeks"	0.119853
"eight days"	0.11957
"about two minutes"	0.119273
"two days"	0.118961
"three minutes"	0.117848
"more than three hours"	0.117439
"eight hours"	0.117281
"about @@ to @@ minutes"	0.115871
"one week"	0.114944
"two months"	0.114511
"about four hours"	0.114218
"three days"	0.111905
"seven weeks"	0.111393
"eight minutes"	0.108516
"about @ hour"	0.105797
"less than @@ hours"	0.105443
"one day"	0.104829
"four weeks"	0.104781
"one minute"	0.104651
"four days"	0.104176
"more than @@ hours"	0.103875
"four months"	0.103315
"six days"	0.101231
"one night"	0.101221
"another @@ years"	0.100935
"six minutes"	0.0999181
"six weeks"	0.0992537
"five weeks"	0.0989622
"Ten minutes"	0.0982665
"another two weeks"	0.0981838
"two weeks"	0.0967404
"three months"	0.096705
"Four minutes"	0.0965494
"about @ @/@ hours"	0.096531
"six months"	0.0964023
"five months"	0.0962555
"one month"	0.0953419
"eight months"	0.0948719
"ten days"	0.0933914
"about one hour"	0.0928463
"about two months"	0.0916183
"over two hours"	0.0912094
"seven minutes"	0.0903239
"nine years"	0.0899071
"nine hours"	0.0894867
"nearly @@ hours"	0.0892202
"more than three months"	0.0886363
"more than two years"	0.0876899
"less than two hours"	0.0873198
"nine days"	0.0869968
"Less than two weeks"	0.0864061
"seven days"	0.0859981
"about six hours"	0.0854543
"two years"	0.0852811
"four years"	0.0852761
"two nights"	0.084324
"nine months"	0.0811804
"seven months"	0.0809051
"three years"	0.0801001
"about two weeks"	0.0799264
"nearly three hours"	0.0788782
"eight years"	0.0783431
"up to three months"	0.0782288
"one year"	0.0781363
"more than four hours"	0.0774074
"nine minutes"	0.0768981
"up to @@ minutes"	0.0764675
"over @@ minutes"	0.0756219
"nearly four hours"	0.0754021
"less than two minutes"	0.0753843
"up to @@ hours"	0.0751666
"about @@ years"	0.0745213
"more than two months"	0.0740993
"about four years"	0.0728534
"seven years"	0.0718166
"more than five hours"	0.0713675
"about three weeks"	0.0713055
"about six months"	0.0711062
half-hour	0.0689778
"up to six months"	0.0689632
"more than two weeks"	0.068576
"about @@ days"	0.0680333
"about three months"	0.0679322
"five years"	0.067574
"less than @@ minutes"	0.067487
"six years"	0.067469
"over @@ hours"	0.0672641
"nearly two months"	0.0670176
"two decades"	0.0670175
"less than two months"	0.0669644
"about two years"	0.0668055
"more than @@ days"	0.0664198
"short time"	0.0660521
"nearly two weeks"	0.0652004
"more than six months"	0.0649091
"about six weeks"	0.0644997
"two to three weeks"	0.0640349
"two weeks ago"	0.0634405
"more than @@ years"	0.0627448
"up to @@ days"	0.0626681
"a few weeks ago"	0.0622305
"more than @@ months"	0.062147
"eight weeks"	0.0610685
"long time"	0.0603446
"six to eight weeks"	0.0599717
"first time"	0.0588698
Instant	0.0588126
"period of time"	0.0586879
"less than five minutes"	0.0586798
"more than three years"	0.0581279
"two days ago"	0.0578262
"about @@ months"	0.0577157
"second time"	0.0573129
"nearly five years"	0.056761
"more than @@@ years"	0.0560676
afternoon	0.0558264
"one year ago"	0.055411
"nearly @@ years"	0.0552671
"eight years ago"	0.055188
"years ago"	0.0551813
"six months ago"	0.0549075
"three to six months"	0.0548918
"another six months"	0.05445
"nearly two years"	0.0541964
"almost @@ years"	0.0541571
"a few"	0.0541336
"two months ago"	0.0536148
Evening	0.0534947
"over @@ years"	0.0534044
"four years ago"	0.0533286
"right here"	0.0532076
"another @@ days"	0.0530993
"three years ago"	0.0528452
anywhere	0.0525917
"three times"	0.051927
"over three years"	0.0516294
"three decades"	0.051119
"months ago"	0.0510879
"Five times"	0.0510005
"seven years ago"	0.0509565
"up to two years"	0.0508383
"more than five years"	0.0504411
"three days ago"	0.0500245
"about three years"	0.0496724
"nearly two decades"	0.0484097
Summers	0.0483877
"Ten years ago"	0.0479194
tonight	0.047545
"ten years"	0.0473359
"over two years"	0.0467394
"more than six years"	0.0466731
"two years ago"	0.0464923
"four times"	0.0462726
yesterday	0.0461459
"four decades"	0.0460366
"nine years ago"	0.0459085
"three weeks ago"	0.0457723
"a few years ago"	0.0456009
"two to three years"	0.0454294
"week ago"	0.0450016
"less than two years"	0.0448565
"a few days ago"	0.0443571
"almost two years"	0.0441632
"three months ago"	0.0438174
"month ago"	0.0437498
"more than four years"	0.043596
nights	0.0432327
"three to five years"	0.0431923
"three nights"	0.0430437
"nearly four years"	0.0427941
))
("a few months" (desc 19006.6) (sims
"a few weeks"	0.222051
"a few years"	0.20208
"a few days"	0.194463
"six months"	0.176487
"three weeks"	0.173405
"three months"	0.170812
"two months"	0.166897
"five months"	0.16678
"four months"	0.16417
"two years"	0.163408
"a few hours"	0.159446
"three years"	0.156169
"one week"	0.151508
"six weeks"	0.151285
"four years"	0.148477
"one month"	0.145522
"one year"	0.145016
"five years"	0.143876
"five weeks"	0.139834
"two weeks"	0.137102
"nine months"	0.136879
"a few minutes"	0.136034
"eight months"	0.133803
"nine years"	0.133113
"four weeks"	0.13027
"eight years"	0.128951
"six years"	0.126433
"seven years"	0.125979
"about two years"	0.124365
"three days"	0.12392
"Less than two weeks"	0.123731
"seven months"	0.122733
"about @@ months"	0.121436
"eight days"	0.121069
"two days"	0.117632
"about @@ years"	0.116768
"about two weeks"	0.11541
"five days"	0.115258
"seven weeks"	0.114174
"one day"	0.112965
"six days"	0.111845
"four days"	0.110535
"about @@ minutes"	0.109913
month	0.109221
"about three months"	0.109047
"five minutes"	0.107375
"two hours"	0.106946
"nearly @@ years"	0.104817
"another @@ years"	0.104558
"eight weeks"	0.104227
"more than two years"	0.103695
"more than @@ years"	0.101029
"four hours"	0.0999348
"about @@ days"	0.0998627
"less than @@ hours"	0.09897
"one hour"	0.0989651
"ten days"	0.096715
"about two months"	0.0963257
"about three years"	0.0955821
"another two years"	0.0953205
"almost @@ years"	0.0952082
"nine days"	0.0950635
"one night"	0.0948423
"six hours"	0.0941855
"less than two months"	0.0936426
"two decades"	0.0928734
"about three hours"	0.0927516
"three hours"	0.0923176
"two to three years"	0.0918104
"about @@ hours"	0.0906595
"about six months"	0.09024
"two minutes"	0.0889641
"three to five years"	0.0879212
"more than @@ minutes"	0.0878197
"about five minutes"	0.0872791
"about four years"	0.0871981
"less than two years"	0.0851195
"more than three months"	0.0848577
"Five months ago"	0.0843186
"short time"	0.0841822
"ten years"	0.0840004
"nearly two years"	0.0837748
"four years ago"	0.0831999
"another two weeks"	0.0823577
"two years ago"	0.0821951
"seven days"	0.081125
"about two hours"	0.0806322
"another four years"	0.0806004
"six months ago"	0.0803278
"less than three years"	0.0800039
decade	0.0796873
"more than two hours"	0.0795047
"five hours"	0.0790113
"another five years"	0.0773457
"two nights"	0.0770468
"two months ago"	0.0768536
"nearly five years"	0.0767753
hour	0.0765386
"eight years ago"	0.0763676
"about three weeks"	0.0761285
"three days ago"	0.0761046
"three months ago"	0.0745573
"next two weeks"	0.0740059
"up to six months"	0.0727599
"more than @@ months"	0.0723767
"more than six months"	0.0722934
"over two years"	0.0721152
"eight hours"	0.0719835
"nine minutes"	0.0718747
minute	0.0718343
"less than two hours"	0.0716066
"three minutes"	0.0714004
"seven minutes"	0.0713654
"three decades"	0.0710581
"up to @@ years"	0.0709492
"about five years"	0.0706507
"less than @@ years"	0.0705981
"up to @@ months"	0.070499
"seven hours"	0.0704046
"about six weeks"	0.0700023
"seven months ago"	0.0699807
"another six months"	0.0698715
"nearly two months"	0.0695669
"years ago"	0.0694116
"more than three years"	0.0692322
"more than @@ hours"	0.0691936
"two weeks ago"	0.0691903
"two to three weeks"	0.0691429
"eight months ago"	0.0685513
"over @@ years"	0.0684584
"eight minutes"	0.067877
"three to six months"	0.0675731
"more than one year"	0.0673479
"six minutes"	0.0670002
"nearly three years"	0.0667934
"another @@ months"	0.0667026
"another @@ days"	0.0666518
"nine years ago"	0.0660804
"more than two months"	0.0660487
"up to @@ days"	0.0657583
"period of time"	0.0654507
November	0.0653404
"next two years"	0.0652838
"a few weeks ago"	0.0651647
"more than five years"	0.0651285
"more than six years"	0.0651012
"almost @@ years ago"	0.0646139
"another three years"	0.064522
"up to two years"	0.0644748
"months ago"	0.0642818
"almost two years"	0.0641101
"six to eight weeks"	0.0640801
"three years ago"	0.0636484
"Four minutes"	0.0636156
"a few months ago"	0.0635658
"up to @@ minutes"	0.0632364
"late @@@@"	0.0631007
"six years ago"	0.063054
"five years ago"	0.0623138
"more than three decades"	0.0621593
"next two days"	0.0621509
"seven years ago"	0.0621503
June	0.0620286
"more than @@@ years"	0.0612895
"one minute"	0.0612765
"less than @@ minutes"	0.0609385
July	0.0608802
"less than three months"	0.0605503
"more than two decades"	0.0603993
"more than four years"	0.0597717
"six weeks ago"	0.0597243
"nearly four years"	0.0596993
"less than three weeks"	0.0595526
"four times"	0.0589168
September	0.0589156
"more than eight years"	0.0588353
"next two months"	0.0587486
"more than two weeks"	0.058715
January	0.0586554
October	0.0578791
"nine months ago"	0.0569557
August	0.0563118
"a few years ago"	0.0561121
"more than @@ days"	0.0560225
"about two years ago"	0.0558918
December	0.0554398
"three times"	0.0553532
"next six months"	0.0552444
"almost three years"	0.0550201
"three weeks ago"	0.0548219
"two days ago"	0.0548117
"four months ago"	0.0546684
"April @@@@"	0.0545577
"month ago"	0.0543357
"one year ago"	0.0541353
February	0.0536213
"next @@ years"	0.0533499
"nearly two decades"	0.0526201
"up to @@ hours"	0.051622
"next three weeks"	0.0514252
))
("a few months ago" (desc 4702.31) (sims
"six months ago"	0.218378
"six weeks ago"	0.190023
"about @@ years ago"	0.189755
"three years ago"	0.180403
"a few years ago"	0.177702
"a few weeks ago"	0.176773
"months ago"	0.171249
"eight years ago"	0.165895
"about five years ago"	0.16044
"seven years ago"	0.159145
"six years ago"	0.158198
"about four years ago"	0.156143
"Five months ago"	0.155788
"five years ago"	0.153633
"about two years ago"	0.152463
"nine years ago"	0.151972
"two months ago"	0.148472
"three weeks ago"	0.147132
"a few days ago"	0.14581
"more than two years ago"	0.144432
"two years ago"	0.14211
"three months ago"	0.141314
"one year ago"	0.140627
"less than two years ago"	0.140289
"time ago"	0.13215
"four years ago"	0.132147
"years ago"	0.129075
"seven months ago"	0.128151
"two weeks ago"	0.127971
"two days ago"	0.126907
"eight months ago"	0.125493
"four months ago"	0.124967
"more than @@ years ago"	0.117177
"almost @@ years ago"	0.116045
"more than two decades ago"	0.115452
"nine months ago"	0.114902
"Ten years ago"	0.112545
"seasons ago"	0.111588
"two decades ago"	0.111427
"about @@ months ago"	0.107214
"about two weeks ago"	0.105527
"weeks ago"	0.105513
"about three weeks ago"	0.104093
"month ago"	0.102805
"about two months ago"	0.0990163
"Five days ago"	0.0978021
"decade ago"	0.0975675
"decades ago"	0.0936582
"four days ago"	0.0927659
"about @,@@@ years ago"	0.0914676
"nearly two years ago"	0.0910589
"nearly @@ years ago"	0.0867365
"over @@ years ago"	0.0858737
"more than @@@ years ago"	0.0853936
"five weeks ago"	0.0851487
"about three years ago"	0.0847409
"one month ago"	0.0836163
"days ago"	0.0804709
"four weeks ago"	0.0790181
"nearly two decades ago"	0.0776791
"three days ago"	0.0748887
"week ago"	0.0738266
"more than three years ago"	0.0732973
"year ago"	0.0720467
"a few years"	0.0719917
"nearly three years ago"	0.070654
"less than two weeks ago"	0.0684863
"one night"	0.0650451
"a few months"	0.0635658
"more than @,@@@ years ago"	0.0624628
"from @@@@ to @@@@"	0.0611813
anywhere	0.0607589
"four decades ago"	0.060705
"eight days ago"	0.0596233
"nine days ago"	0.0591894
"over @@ years"	0.0561172
"four months"	0.0532223
"more than @@ times"	0.0515135
"a few hours"	0.0512564
"right here"	0.051203
"summers ago"	0.0500602
"over two years"	0.0494925
"from January to September"	0.0487578
"three decades ago"	0.0477282
"less than @@ hours"	0.0475404
"a few weeks"	0.0467345
"about four years"	0.0459765
"one week ago"	0.0457877
"nearly two weeks ago"	0.0446607
"Sept @"	0.0436894
"Five times"	0.0429151
"about two hours"	0.0424567
"nine months"	0.0417141
"seven weeks"	0.0405856
"seven times"	0.0404549
"about three hours"	0.0403222
"hockey coach"	0.0401206
))
("a few points" (desc 1682.08) (sims
"about @@ points"	0.111387
"over @@ points"	0.103132
"two cents"	0.0993373
"three points"	0.0962662
"two points"	0.0944545
"nearly @@ points"	0.0895072
"four points"	0.0890365
"five cents"	0.0859419
"eight points"	0.0855388
whisker	0.0845957
"over $@@"	0.0821977
"a few kilometers"	0.0807082
"more than @@ points"	0.0770264
"about @@@ points"	0.0766045
"a few hundred dollars"	0.0762547
"five points"	0.0754873
"a few meters"	0.0746965
"three match points"	0.0744931
"more than @@@ million dollars"	0.0736043
"nine points"	0.0727946
"two match points"	0.0715813
"one sack"	0.0714909
"over $@@ billion"	0.0704074
"nearly @@@ points"	0.0687955
"service break"	0.0684966
"seven points"	0.0675617
"more than @@@ points"	0.0672844
"four @-pointers"	0.0666129
"break of serve"	0.065489
"six points"	0.0653055
"over @@@ points"	0.065291
"about @@@ percent"	0.0650259
"four inches"	0.0648927
"a few thousand dollars"	0.0646698
"about @@ inches"	0.0645187
"first point"	0.0634308
"one homer"	0.063397
"a few inches"	0.0631179
"a few dollars"	0.061545
game-high	0.0610995
"nearly $@"	0.0606671
hundredth	0.0605792
"another @"	0.0601855
"one inch"	0.0593701
"one second"	0.0586636
octave	0.0581434
"quarter mile"	0.0573923
"about one-tenth"	0.0571873
"one kilometer"	0.0561346
"first points"	0.0557176
"about @@ pounds"	0.0555929
"a few pounds"	0.0550944
"one cent"	0.0542223
"two miles"	0.0541285
Furcal	0.0535627
"nine cents"	0.0533018
"about @@@ meters"	0.0532874
"about @@ degrees"	0.0532753
"seven miles"	0.051766
"about @@ meters"	0.0515433
half-game	0.0515403
"eight cents"	0.0514843
"one million dollars"	0.0512931
one-tenth	0.0510592
"about @@ yards"	0.0510176
one-fifth	0.0508395
"about @@ km"	0.0506032
"three inches"	0.0502655
"a few yards"	0.0501859
"five meters"	0.0501728
"three cents"	0.0499271
"three miles"	0.0496748
"Titan A.E."	0.0493818
"three pitchers"	0.0491165
"three @-pointers"	0.0487852
"about six miles"	0.0486168
"two inches"	0.0484137
"two pitchers"	0.048126
Randa	0.0479375
"one quarter"	0.0479086
"over $@@@"	0.0466947
"eight miles"	0.046547
"more than @@ yards"	0.0464251
"five kilometers"	0.0462176
"unearned run"	0.0460233
"over $@@@ million"	0.0459993
"three sacks"	0.0459229
"four kilometers"	0.0457767
"Benny Agbayani"	0.0457561
TKO	0.0456262
triple-double	0.0456129
"eighth time"	0.0454655
"two digits"	0.0452876
"five homers"	0.0450329
tad	0.0449969
"one meter"	0.0449927
"two homers"	0.0448575
"more than @@ miles"	0.0447281
"over $@ million"	0.0445579
"about @ inches"	0.04453
"more than three"	0.044456
"over @@ hours"	0.0444182
"three homers"	0.0443706
"over $@,@@@"	0.043837
"one dollar"	0.0437055
"two kilometers"	0.0436627
"set point"	0.0435813
"match point"	0.0434927
"About three quarters"	0.043458
"less than one-third"	0.0434436
Futurama	0.0429008
"sixth time"	0.0426653
"seven weeks"	0.0425525
Dunston	0.0425361
neck-and-neck	0.0422897
wage-earner	0.0422256
Vina	0.0420484
"milk cow"	0.0419706
"mouse click"	0.0417145
"one bit"	0.0416264
Appier	0.0416091
"five weeks"	0.0414294
"about two hours"	0.0414267
Baerga	0.0414184
"key rate"	0.0413296
"split decision"	0.0412962
"Ten minutes"	0.0412396
"six kilometers"	0.0411783
"over $@ billion"	0.041103
baserunners	0.0410291
"million yuan"	0.0408112
"five spot"	0.040794
three-pointers	0.0407714
"one penny"	0.0407628
"six homers"	0.0407299
"second deck"	0.0407092
"Nearly @@@ miles"	0.0406734
"hundred dollars"	0.0406206
"more than @@@,@@@ yuan"	0.0404978
"almost $@@ billion"	0.0403592
"Development Bank of Singapore"	0.0403576
"first basket"	0.0402264
tenths	0.0401817
"two sacks"	0.0401676
"over @"	0.0401005
))
("a few pounds" (desc 975.225) (sims
"about @@ pounds"	0.210908
"two pounds"	0.173337
"more than @@@ pounds"	0.153278
"five kilograms"	0.140855
blinder	0.134411
"nine cents"	0.12038
"one cent"	0.119062
"about @@@ pounds"	0.114981
"about @@@ points"	0.109983
"six tons"	0.10828
"three cents"	0.103493
blinker	0.10265
"five cents"	0.100557
"about @@ points"	0.098667
"two cents"	0.0982602
"eight cents"	0.0956228
"nearly @@ points"	0.0950859
"more than @,@@@ pounds"	0.0896361
"first points"	0.0873906
"about @ pounds"	0.0861238
"about @@@ tons"	0.0853107
"boxing glove"	0.0852947
"one ton"	0.0851407
"more than @@ tons"	0.0840192
"nearly @@@ points"	0.083479
"about two percent"	0.0827239
"over @@ points"	0.0816871
"one pound"	0.0809918
"two tons"	0.078725
"more than @@@ million tons"	0.0733247
fizz	0.0714539
"another @.@ percent"	0.0704145
FTSE	0.0692903
"about @.@ million tons"	0.0691463
"metric ton"	0.0689631
"four inches"	0.0687072
"three tons"	0.0686357
"one inch"	0.0665841
"about @@@ percent"	0.0664633
"over @@@ tons"	0.0662361
double-teamed	0.0661028
earphone	0.0660903
"More than three quarters"	0.0658472
"life jacket"	0.0648219
"more than @,@@@ tons"	0.0647924
kilo	0.0638404
"five tons"	0.0638276
"one kilogram"	0.063689
"more than @@ points"	0.0632813
"one ounce"	0.0631839
inhibition	0.0629785
"almost $@ billion"	0.0628755
"more than @@,@@@ tons"	0.0619376
centavo	0.0617854
pfennig	0.0597683
"Stock Exchange of Thailand"	0.059104
"over @@@ points"	0.0588116
"split decision"	0.0585528
"oxygen mask"	0.0582398
"about @@ tons"	0.0581666
"about @ inches"	0.05805
"more than @.@ percent"	0.0574233
ounce	0.0569689
"more than @@@ points"	0.0561995
"more than @,@@@ yards"	0.0561088
three-tenths	0.0561013
bomblets	0.0558233
yarmulke	0.0558101
"about @@@,@@@ hectares"	0.0557187
"hard hat"	0.0552755
Kilogram	0.0552703
"a few points"	0.0550944
"more than @@@ tons"	0.0547426
MidCap	0.0547399
octave	0.0542655
"about @@ million tons"	0.0538691
"almost two-thirds"	0.0531659
"wedding ring"	0.0530033
Four-fifths	0.0527748
"first point"	0.0526435
"Emas Index"	0.052079
heartbreaker	0.0520569
hyphen	0.0519692
"one million dollars"	0.0519519
two-third	0.0517952
heaviest	0.051411
"three inches"	0.0513046
"life vest"	0.0508625
"almost $@@,@@@"	0.0508476
"five million tons"	0.0500229
"over two-thirds"	0.0498532
"break of serve"	0.049329
"good person"	0.0488742
defoliant	0.0486129
toehold	0.0484028
punchline	0.047953
happiest	0.0474125
"shoulder pad"	0.0472479
"Singapore Press Holdings"	0.0470445
"another @"	0.0467993
"Industrial Index"	0.0465549
oomph	0.046279
tackler	0.0460501
three-fifths	0.0460109
paintbrush	0.0459153
"basis point"	0.0459111
toenail	0.045053
"dark glasses"	0.0448434
"four tons"	0.0445963
"More than one third"	0.0442623
hyper	0.0437338
"Wild Man"	0.0436743
"up to @@ inches"	0.0436551
"three million tons"	0.0435086
"trump card"	0.0432431
"dry ice"	0.0430379
bandana	0.0429409
"sense of direction"	0.0428436
"Over @@@ Million Dollars"	0.0427457
"boy wonder"	0.0427453
wristband	0.04265
half-point	0.042237
"almost $@@ million"	0.0421745
spoonful	0.0420147
"More than three-quarters"	0.0419317
"about @@ inches"	0.0418981
"about three percent"	0.0418649
pluses	0.0418494
"bowling ball"	0.0418467
"bulletproof vest"	0.041519
"more than @@ billion dollars"	0.0413713
"about @@@,@@@ acres"	0.041299
"top billing"	0.0412177
"absolute majority"	0.0411337
"more than @@@ yards"	0.0411094
"food coloring"	0.0410976
"nine yards"	0.0408555
hex	0.0408525
"spider web"	0.040798
"more than @@@ million dollars"	0.0406597
afterburner	0.0405139
"more than @@@,@@@ tons"	0.0405064
G-string	0.0404012
popup	0.040347
lampshade	0.0403086
"life raft"	0.0402758
"Angelo Peruzzi"	0.0401914
"seal of approval"	0.0400598
"Crimson Tide"	0.0400396
))
("a few thousand dollars" (desc 1364.56) (sims
"a few hundred dollars"	0.198116
"a few dollars"	0.169098
"a few million dollars"	0.157875
"almost $@ million"	0.157315
"nearly $@@"	0.154603
"about @@@ million yuan"	0.139565
"almost $@@@ million"	0.137769
"almost $@@@,@@@"	0.134525
"nearly $@@@,@@@"	0.131406
"hundred million dollars"	0.129693
"hundred thousand dollars"	0.127411
"nearly @.@ billion yuan"	0.126037
"more than @ billion yuan"	0.125344
"almost $@@ million"	0.123967
"hundred dollars"	0.123449
"two million yuan"	0.119554
"more than @@@,@@@ yuan"	0.118543
"about $@@,@@@"	0.117405
"one million dollars"	0.116796
"almost $@@,@@@"	0.115666
"about $@.@ million"	0.115068
"million yuan"	0.114939
"about $@.@@ million"	0.11272
"nearly $@@@ million"	0.110413
"about $@"	0.108932
"over $@@ billion"	0.108785
"about $@@@,@@@"	0.108372
"nearly @@@ million yuan"	0.107932
"over @@ million yuan"	0.105455
"more than one billion yuan"	0.105327
"more than @@@ million yuan"	0.105254
"about $@.@@"	0.104806
"one penny"	0.104566
"more than @.@ billion yuan"	0.104455
"nearly $@.@ billion"	0.104171
"thousand dollars"	0.103701
"nearly $@"	0.102722
"about $@.@@ billion"	0.102629
"small fortune"	0.102474
"nearly $@@,@@@"	0.102344
"about $@@.@ million"	0.102074
"nearly $@ million"	0.101579
"nearly $@@ million"	0.100607
"over $@@@,@@@"	0.0983748
"over $@ billion"	0.097918
"about $@@"	0.0976085
"nearly $@,@@@"	0.0965573
"more than @@@ million dollars"	0.0959928
"more than @@,@@@ yuan"	0.095747
"more than @ billion dollars"	0.0951424
"nearly @@ billion yuan"	0.0945229
"about $@,@@@"	0.0944539
"Over @@@ Million Dollars"	0.0939701
"about @@@,@@@ dollars"	0.0929576
"three billion yuan"	0.0925965
"over @@@ million US dollars"	0.0905465
"about $@@ million"	0.0902706
"about $@@.@@"	0.0900438
"hush money"	0.0894639
"over $@@@ million"	0.0888702
"million dollars"	0.0875963
"more than @@ million US dollars"	0.0873212
"Zimbabwe Dollars"	0.0872214
"more than @@ million yuan"	0.0869471
"about $@ million"	0.086766
"nearly $@.@ million"	0.0863415
"about $@@@"	0.0859318
"about @@ billion yuan"	0.0857562
"about @ billion dollars"	0.0849556
"five million yuan"	0.0848813
"one billion dollars"	0.0848614
"two billion yuan"	0.0839067
"about $@@.@ billion"	0.0818641
"about $@ billion"	0.0798911
"about @@ million US Dollars"	0.0798238
"over $@@@"	0.0788452
"cash bonus"	0.0782289
"one billion yuan"	0.0778596
"more than @@.@ billion yuan"	0.0775616
"RM@@,@@@"	0.0775115
"about $@@ billion"	0.0774932
"sum of money"	0.07727
RM@@@	0.0772033
"billion yuan"	0.0770233
"one million US dollars"	0.0768289
"three million yuan"	0.076705
"about $@@@ million"	0.0766895
"about one-tenth"	0.0757667
"five billion yuan"	0.0756911
"about $@.@ billion"	0.0752074
"about @@.@ million dollars"	0.0747788
"about @@@ million dollars"	0.0739376
"over @@@ million yuan"	0.0739173
"more than @.@ billion dollars"	0.0737562
"almost $@@ billion"	0.0732112
"two pitchers"	0.0731799
"billion dollars"	0.072356
"about @@ million dollars"	0.0722618
"over $@@,@@@"	0.0721939
"over $@,@@@"	0.0720967
"about @@@ pounds"	0.0715511
"over $@@ million"	0.0714085
"more than @@@ million US dollars"	0.070791
"over @.@ billion yuan"	0.0707484
"nearly $@@ billion"	0.07025
"almost $@ billion"	0.0701585
"about $@@@ billion"	0.0701273
"more than @@ billion yuan"	0.0701156
"three inches"	0.0698807
"over $@@"	0.0693876
"RM@,@@@"	0.0687312
"over @@@ billion yuan"	0.0681394
"nearly @@ points"	0.0675884
"about @.@ million dollars"	0.0675305
"billion over @@ years"	0.0672339
"one inch"	0.0666284
penny	0.0664615
"one million yuan"	0.0662045
"less than @@@"	0.0661706
"four inches"	0.0661358
dime	0.0660225
"three match points"	0.0657529
"RM@@@,@@@"	0.0656926
"over $@ million"	0.0653582
"a few points"	0.0646698
"one dollar"	0.0645659
"over @@ billion yuan"	0.0645465
metical	0.0644329
"seven billion yuan"	0.0643131
"more than @@ million dollars"	0.0642233
"Uganda Shillings"	0.0639789
"six billion yuan"	0.0632355
"admission fee"	0.0631868
reais	0.0629875
"nearly $@ billion"	0.0625651
"two cents"	0.0625166
one-half	0.0620964
"lip service"	0.0615537
"speeding ticket"	0.0614241
"four billion yuan"	0.0609863
"about one-fifth"	0.0609707
"four quarters"	0.0604523
"about @@ inches"	0.0592663
"break of serve"	0.05905
"about @@ billion dollars"	0.0586605
shivering	0.0586547
monies	0.0586504
keystrokes	0.0584374
"a few inches"	0.0582904
"Tanzania Shillings"	0.0576902
wage-earner	0.0573848
"about @@@ million US dollars"	0.056963
Mapes	0.0564952
spacewalks	0.0560659
meticais	0.0559849
"annual payment"	0.0559108
"more than @@ yards"	0.0554672
"more than @@ points"	0.0551954
"six inches"	0.0550987
"five to @@"	0.0547689
"parking ticket"	0.0547337
"about @.@ billion dollars"	0.0544939
"about @.@@ billion dollars"	0.0542503
"about @@ to @@"	0.0541383
"three pitchers"	0.0539463
RM@@	0.053897
"service break"	0.0536534
"over @@ points"	0.0536072
"more than @.@ billion US dollars"	0.0535501
"one billion US dollars"	0.0533203
"one homer"	0.0532937
"about @.@@ percent"	0.05322
"another @.@ percent"	0.0530789
"nine yards"	0.0527176
M.A	0.0526495
"positive feedback"	0.0524759
pretending	0.0524394
"two inches"	0.0519787
"about one-quarter"	0.0518966
one-tenth	0.0518241
"nearly $@@@ billion"	0.051674
birr	0.0514788
"street address"	0.0514777
"work group"	0.0514267
refusals	0.0513599
one-eighth	0.0512982
"living wage"	0.0511646
"entrance fee"	0.0509588
mil	0.0509493
Trischitta	0.050852
dowry	0.0506661
NHS	0.0506497
co-payment	0.0505624
"ransom money"	0.0505348
preparers	0.0503261
"licensing fee"	0.0499198
"over @@@ points"	0.0498982
"sick leave"	0.0498247
B.A	0.0494179
"white knight"	0.0493859
))
("a few weeks" (desc 19071.9) (sims
"a few months"	0.222051
"a few days"	0.217087
"three weeks"	0.204741
"a few hours"	0.182052
"a few years"	0.181092
"six weeks"	0.173841
"two weeks"	0.173426
"two months"	0.167601
"one week"	0.165893
"one month"	0.165268
"four months"	0.156576
"three months"	0.154407
"six months"	0.152154
"a few minutes"	0.149681
"five weeks"	0.146785
"about two weeks"	0.142247
"two years"	0.141651
"three days"	0.136025
"Less than two weeks"	0.135975
"one year"	0.135406
"five months"	0.134897
"nine months"	0.132934
"eight days"	0.131024
"eight months"	0.130563
"three years"	0.130058
"two days"	0.129693
"seven weeks"	0.128152
"five days"	0.127745
"four weeks"	0.126514
"about @@ hours"	0.125848
"one day"	0.122814
"about @@ minutes"	0.121221
"ten days"	0.120136
"seven months"	0.119243
"eight weeks"	0.116425
"four days"	0.116314
"two hours"	0.115652
"one hour"	0.114611
"five years"	0.112881
"seven years"	0.112115
"three hours"	0.110917
"six days"	0.110743
"four years"	0.109788
"five minutes"	0.109782
"seven days"	0.109681
"less than @@ hours"	0.108712
"about six months"	0.107136
"nine years"	0.106734
"four hours"	0.106115
"about three months"	0.104373
"more than @@ minutes"	0.103521
"about two years"	0.101788
"two to three weeks"	0.101446
"nine days"	0.100554
"six years"	0.100385
"about three weeks"	0.0996965
"less than two months"	0.0989851
"eight years"	0.0969576
"about @@ days"	0.0958352
"about six weeks"	0.095201
"another @@ years"	0.0947669
"over @@ minutes"	0.0945871
"eight hours"	0.0943515
"about @@ years"	0.0938601
"about two months"	0.0935115
month	0.0933577
"two minutes"	0.0930552
"six to eight weeks"	0.0917463
"less than three weeks"	0.0906109
"five hours"	0.0900614
"six hours"	0.0898526
"short time"	0.0882986
"about four years"	0.0882195
"more than two years"	0.0865346
hour	0.0854427
"about three hours"	0.0847598
"more than @@ years"	0.0838128
"one night"	0.0834957
"more than two hours"	0.0831452
"next two weeks"	0.0830499
"three to five years"	0.0824016
minute	0.0821945
"up to three months"	0.0814257
"nearly @@ years"	0.0807959
"two decades"	0.0797473
"four to six weeks"	0.0795285
"over @@ hours"	0.0792329
"more than two months"	0.0769582
"next two months"	0.0763181
"about five minutes"	0.0762193
"about two hours"	0.0759711
"about @@ months"	0.0753405
"about two minutes"	0.074554
"nearly two years"	0.0734972
"more than @@ hours"	0.0734685
"period of time"	0.0727313
"seven hours"	0.0726784
"seven minutes"	0.0722403
"two nights"	0.0719611
"over two hours"	0.0717115
"two to three years"	0.0711377
"up to six months"	0.0707076
"six minutes"	0.0706798
"more than three months"	0.070471
"about five years"	0.0703848
"more than two weeks"	0.0703291
"three decades"	0.0702354
"about three years"	0.0700024
"eight minutes"	0.0697682
"almost two years"	0.0695035
decade	0.069148
"three minutes"	0.0691341
"ten years"	0.0684022
"less than two hours"	0.0683708
November	0.0679405
"more than six months"	0.0675344
"one minute"	0.0663001
"less than @@ minutes"	0.0662292
"three to six months"	0.0659231
"over two years"	0.0659113
"almost @@ years"	0.0658568
"nine minutes"	0.0653044
"more than three years"	0.0650086
"two years ago"	0.0649787
October	0.064904
"next @@ days"	0.0641515
"about four hours"	0.0640771
"nearly @@ hours"	0.0627951
"less than two years"	0.0626282
"two months ago"	0.0619677
"months ago"	0.0617687
"four decades"	0.0614454
"two weeks ago"	0.0611542
"nearly two hours"	0.061003
"a few weeks ago"	0.060891
"nine hours"	0.0606716
January	0.060659
December	0.0600935
"next six months"	0.0598566
"more than two decades"	0.0597685
"less than three minutes"	0.0596443
July	0.059618
"nearly two months"	0.0595804
"three weeks ago"	0.0594413
"up to @@ hours"	0.0592678
"more than four hours"	0.0592192
September	0.0591703
"three months ago"	0.0586355
"Ten minutes"	0.0586311
"over @@ years"	0.0584527
June	0.0581941
"three years ago"	0.0580499
"up to two years"	0.0579298
mid-October	0.0578221
"next three weeks"	0.0576055
"more than @@@ years"	0.057443
August	0.0573477
"up to @@ months"	0.0572448
"eight years ago"	0.0569459
"more than one year"	0.0566882
mid-April	0.056499
February	0.0560273
"two days ago"	0.0559613
"weeks ago"	0.0559582
"Four minutes"	0.0558014
mid-August	0.0555997
"one year ago"	0.0554156
"more than @@ years ago"	0.0554013
"another two years"	0.054694
"six years ago"	0.0545828
"up to @@ days"	0.0545309
"five years ago"	0.0544033
"more than four years"	0.0542677
"four years ago"	0.0539039
"less than two minutes"	0.0537081
"up to @@ years"	0.0527878
"more than @@ months"	0.0527789
"next two years"	0.0527786
"nine years ago"	0.0526352
"three times"	0.0526252
"Five months ago"	0.0526158
"next @@ hours"	0.0520638
mid-November	0.0514307
"six weeks ago"	0.0510925
"first year"	0.0509279
"nearly four years"	0.0509259
"February @@@@"	0.0507227
April	0.0503263
"long time"	0.0503138
"more than three hours"	0.0502227
"next three months"	0.0501511
"next two days"	0.0500839
"more than five years"	0.0499022
"from @@@@ to @@@@"	0.0494148
"next five years"	0.0494027
"more than six years"	0.0488011
"January @@@@"	0.0486027
mid-June	0.0483092
mid-September	0.0482527
"a few years ago"	0.0481768
))
("a few weeks ago" (desc 5644.95) (sims
"a few months ago"	0.176773
"six months ago"	0.176063
"a few years ago"	0.164145
"three years ago"	0.153688
"two weeks ago"	0.153251
"two months ago"	0.151446
"a few days ago"	0.149553
"two days ago"	0.14689
"three weeks ago"	0.144803
"two years ago"	0.142921
"months ago"	0.14196
"three months ago"	0.135029
"weeks ago"	0.134248
"time ago"	0.131218
"years ago"	0.12545
"six weeks ago"	0.124683
"seven years ago"	0.124385
"four months ago"	0.123388
"eight years ago"	0.118173
"five years ago"	0.118152
"Five months ago"	0.11734
"eight months ago"	0.115985
"more than two years ago"	0.109755
"nine years ago"	0.108979
"six years ago"	0.107922
"month ago"	0.106733
"about two years ago"	0.106701
"about four years ago"	0.104687
"seven months ago"	0.103916
"almost @@ years ago"	0.102792
"about @@ years ago"	0.1023
"four years ago"	0.10211
"three days ago"	0.100312
"days ago"	0.0989109
"two decades ago"	0.0987953
"about two weeks ago"	0.0975517
"one night"	0.0943564
"week ago"	0.0934688
"five weeks ago"	0.0923429
"about five years ago"	0.0922743
yesterday	0.0921184
"one year ago"	0.0900639
"decades ago"	0.0892047
"about @@ months ago"	0.088863
"over @@ years ago"	0.0878552
"decade ago"	0.0874993
"more than @@ years ago"	0.0854189
"three times"	0.0833466
"Five days ago"	0.0810232
"Ten years ago"	0.0794521
"one weekend"	0.0785081
tonight	0.0781144
"from @@@@ to @@@@"	0.0779403
"more than @@@ times"	0.0765476
"about three years ago"	0.0764437
"four days ago"	0.0753862
"four times"	0.0753638
"nearly two weeks ago"	0.0746906
"nine days ago"	0.0740255
"nearly two decades ago"	0.0734597
"one month ago"	0.0733828
"seasons ago"	0.0733674
"Five times"	0.0733667
"a few hours"	0.0723676
"three decades ago"	0.0714324
"more than @@ times"	0.0712008
"year ago"	0.0688854
"six times"	0.0684982
"seven times"	0.0683396
"over two years"	0.0675868
"eight times"	0.067318
"a few years"	0.0672705
"nine months ago"	0.0666267
anywhere	0.0656663
"about three weeks ago"	0.0654433
"nine times"	0.0653242
"a few months"	0.0651647
"over @@ hours"	0.0632664
"nearly @@ years ago"	0.0624561
"four weeks ago"	0.0623738
"a few minutes"	0.0622305
tomorrow	0.0614377
"a few weeks"	0.060891
"a few days"	0.0604327
"nearly @@ hours"	0.0586445
"about four years"	0.0583116
"right here"	0.0577844
"less than two weeks ago"	0.0574645
"nearly two years ago"	0.0568131
"four decades ago"	0.0563414
"about two hours"	0.0552252
"less than two years ago"	0.0552046
"seven months"	0.0550835
"about two months ago"	0.0547811
"Ten minutes"	0.0547387
Jun	0.0533381
"over two months"	0.0516982
"about @@ times"	0.0516107
"eight days ago"	0.0514914
"over @@ years"	0.0508416
"one week"	0.0503339
"seven weeks"	0.0501793
"six hours"	0.0500932
"five days"	0.0497646
"one week ago"	0.0493073
"over two weeks"	0.0490569
"Dec @@"	0.0489798
"about @@ months"	0.0489397
"five hours"	0.0488222
"six days"	0.0487007
"four months"	0.0484993
"over seven years"	0.0482526
"From January to June"	0.0480441
"seven hours"	0.0480024
"Feb @@"	0.047592
"three weeks"	0.0471802
"eight weeks"	0.0470002
"a few points"	0.0466782
"eight months"	0.0454391
"about @,@@@ years ago"	0.0452948
"four hours"	0.0452498
"eight hours"	0.0450079
"over four years"	0.0447879
"about two years"	0.0445048
"over three years"	0.0443056
"almost two weeks"	0.044192
"more than @@@ years ago"	0.0439161
"about @@ hours"	0.0435369
"less than three weeks"	0.0431962
"five minutes"	0.0430782
"two centuries ago"	0.0427812
"three hours"	0.0427114
"two minutes"	0.0424126
"six weeks"	0.0423406
eight-day	0.0423083
"two times"	0.0421392
"Sept @"	0.0418876
"two hours"	0.0416199
"Feb @"	0.041503
"nine months"	0.0414534
"about four hours"	0.0411918
"nine hours"	0.0411053
"eight days"	0.040942
"from @@@@-@@@@"	0.0408104
"ten days"	0.0407886
"May @-@@"	0.040739
"Aug @"	0.0406615
"more than @,@@@ years ago"	0.0406513
"two to three years"	0.040647
autumn	0.0405931
"six minutes"	0.0404029
"nearly @@ months"	0.0401306
"two nights"	0.040109
"four days"	0.0400451
))
("a few words" (desc 5574.76) (sims
"one word"	0.160636
pleasantry	0.105842
"two words"	0.0822745
"first words"	0.082173
high-fives	0.0802815
gibberish	0.0775531
"a few lines"	0.0771641
hello	0.0756833
"first word"	0.074274
phrase	0.0718715
"three words"	0.0622663
peep	0.0618181
dialect	0.0615366
platitude	0.0607002
"small talk"	0.0559342
expletive	0.0557587
obscenity	0.0556539
fluency	0.0553886
"sign language"	0.0530825
"Lord's Prayer"	0.0528096
"thank you"	0.0527624
fife	0.0512721
greeting	0.0501611
"four-letter word"	0.0498076
smattering	0.0496873
handshake	0.0496525
paragraph	0.0487427
disclaimer	0.048152
nicety	0.047456
"a few thousand dollars"	0.0470488
"two digits"	0.0459914
"two cents"	0.0457484
ribbing	0.044785
witticism	0.0439441
"bear hug"	0.0438546
verse	0.0438264
loudest	0.0437659
"birthday gift"	0.0437528
Hi	0.0428753
snippet	0.0418724
"curtain call"	0.0410208
anecdote	0.0408133
profanity	0.0407945
reminiscence	0.0403034
syllable	0.0402595
"good word"	0.0401377
vulgarity	0.0401006
))
("a few yards" (desc 4545.44) (sims
"a few meters"	0.181765
"about @@@ yards"	0.17204
"four miles"	0.157713
"about @@ yards"	0.157038
"a few hundred yards"	0.155239
"about two miles"	0.149361
"about @@@ meters"	0.148975
"a few kilometers"	0.146975
"two kilometers"	0.1464
"four kilometers"	0.145854
"hundred yards"	0.144474
"two miles"	0.142108
"three miles"	0.141677
"seven miles"	0.136718
"a few miles"	0.135885
"about @@ meters"	0.135875
"eight miles"	0.135041
"five kilometers"	0.128856
"three kilometers"	0.126881
"about four miles"	0.124451
"one kilometer"	0.121149
"about three miles"	0.118972
"six miles"	0.114013
"about five miles"	0.112754
"a few inches"	0.111772
"half mile"	0.108718
"about @ miles"	0.107911
"about six miles"	0.106946
"about @@ miles"	0.0992044
"five miles"	0.0975969
"quarter mile"	0.0961834
"six kilometers"	0.0961191
"more than @@ miles"	0.0952976
"eight kilometers"	0.091571
"nine miles"	0.0882136
"Nearly @@@ miles"	0.087947
"about one kilometer"	0.0869894
"about @@ kilometers"	0.0869499
"one mile"	0.0861754
"more than @@@ miles"	0.0854959
"hundred miles"	0.0854663
"about @,@@@ miles"	0.0829354
mile	0.0811608
"two inches"	0.0805382
"about @@@ miles"	0.0788347
Lightyear	0.0782622
"about @@ inches"	0.0760381
"two meters"	0.0751584
"about @@@ km"	0.0732939
"about @@ km"	0.0730028
"single file"	0.0712717
"six inches"	0.0711527
"about @@@ kilometers"	0.0687713
"one inch"	0.068055
"about @@ points"	0.0679758
"three inches"	0.0676749
"more than @,@@@ miles"	0.0631593
"five meters"	0.0620422
"four inches"	0.060683
shoulder-to-shoulder	0.0604721
"one meter"	0.0601864
"about @,@@@ kilometers"	0.059877
"about @ inches"	0.0560518
jut	0.0551695
meter	0.054796
"less than @@ miles"	0.0538768
out.	0.0517331
"two points"	0.0507671
"a few points"	0.0501859
offstage	0.0496449
longer	0.04893
"three points"	0.0475999
one-timer	0.0475939
side-by-side	0.0455124
sentry	0.0454261
"Fred Brathwaite"	0.0452398
kilometer	0.0448737
"two cents"	0.0448247
"about @@ degrees"	0.0446177
"over @@@ kilometers"	0.0434689
"five points"	0.0433644
"mirror image"	0.0432494
Seng	0.0429048
"ten days"	0.0427956
licking	0.042717
"a few thousand dollars"	0.0427014
"one second"	0.0426973
"pirate ship"	0.0425698
upright	0.0423628
"mouse click"	0.0419487
berm	0.0414102
divider	0.041063
"one homer"	0.0408955
"four points"	0.0407884
"one shot"	0.0407526
"first eight"	0.0407367
upriver	0.0402041
uphill	0.0401425
))
("a few years" (desc 23803.4) (sims
"a few months"	0.20208
"three years"	0.185806
"a few weeks"	0.181092
"two years"	0.176367
"five years"	0.169606
"a few days"	0.157484
"about @@ years"	0.155281
"four years"	0.155192
"nine years"	0.154638
"one week"	0.152817
"seven years"	0.151318
"six years"	0.150542
"six months"	0.149515
"three weeks"	0.148916
"two months"	0.148053
"eight years"	0.14621
"one year"	0.14301
"four months"	0.13588
"a few hours"	0.133784
"one month"	0.132752
"three months"	0.132711
"five months"	0.125201
"six weeks"	0.124191
"a few minutes"	0.123872
"nearly @@ years"	0.121611
"two decades"	0.121228
"more than @@ years"	0.120275
"almost @@ years"	0.11987
"eight months"	0.119623
"another @@ years"	0.115421
"nine months"	0.111965
"two days"	0.109172
"two weeks"	0.108629
"about three years"	0.108596
"four days"	0.107974
"three hours"	0.106807
"four weeks"	0.106336
"five weeks"	0.106149
"about two years"	0.104416
"eight days"	0.10294
"about four years"	0.102346
decade	0.101375
"five days"	0.10124
"seven weeks"	0.101098
"about @@ minutes"	0.101011
"two hours"	0.101005
"one day"	0.100551
"ten years"	0.100291
"six days"	0.100257
"more than two years"	0.0995979
"five minutes"	0.0995436
"seven months"	0.0991562
"about five years"	0.0985429
"three days"	0.0973354
"three to five years"	0.0969184
"one night"	0.0949599
month	0.0942312
"about two weeks"	0.0929261
"five hours"	0.0908125
"eight weeks"	0.0906199
"three decades"	0.0888249
"about two hours"	0.0878061
"four hours"	0.0863622
"six hours"	0.0862163
"about @@ months"	0.0859344
"one hour"	0.0857982
"six years ago"	0.0856608
"two years ago"	0.0848876
"about three weeks"	0.0848841
"about three hours"	0.083829
"about @@ hours"	0.083682
"about six months"	0.0836817
"a few years ago"	0.0829835
"more than two decades"	0.0826733
"years ago"	0.0824727
"nine years ago"	0.0821808
"another two years"	0.0819842
"about @@ years ago"	0.0819675
"three years ago"	0.0814205
"about three months"	0.0813469
"about @@ days"	0.0813168
"more than @@@ years"	0.0807738
"more than five years"	0.0802703
"six to eight weeks"	0.0789187
"over @@ years"	0.0779709
"two to three years"	0.0778037
"six months ago"	0.0775227
"four years ago"	0.0773862
minute	0.0773718
"two months ago"	0.0771474
hour	0.0770527
"nine days"	0.0767481
"nearly two years"	0.0759097
"next @@ years"	0.0756438
"almost @@ years ago"	0.0755727
"more than three years"	0.0751151
"four decades"	0.0751066
"more than two hours"	0.0750608
"seven years ago"	0.0743389
"less than two years"	0.0740029
"about two months"	0.0739493
"Less than two weeks"	0.0738657
"eight years ago"	0.0732915
"short time"	0.0731299
"two minutes"	0.0731004
"up to @@ years"	0.072807
"a few months ago"	0.0719917
"eight hours"	0.0719718
"up to @@ days"	0.0717707
"seven days"	0.071214
"ten days"	0.0703749
"another five years"	0.0703062
"five years ago"	0.0699071
"about five minutes"	0.0689054
"more than @,@@@ years"	0.0683622
"more than six months"	0.0683106
"almost two years"	0.0680132
"nearly three years"	0.0675671
"a few weeks ago"	0.0672705
"about five years ago"	0.0672565
"less than @@ hours"	0.0661876
"one minute"	0.0655993
"less than two months"	0.0655738
"over @@@ years"	0.0653154
"two nights"	0.0650099
"more than @@ years ago"	0.0645976
"last @@ years"	0.064039
"period of time"	0.0637547
"months ago"	0.0634941
"less than @@ years"	0.0622972
"nearly @@ hours"	0.0618925
"more than @@ hours"	0.0616585
"next two years"	0.0616396
"nearly two decades"	0.0613131
"seven hours"	0.0612057
"two days ago"	0.0610188
"nearly @@ years ago"	0.0610086
"second year"	0.0604246
"three times"	0.0599628
"more than @@ minutes"	0.0599314
"first year"	0.0598642
"more than two months"	0.0595936
"three months ago"	0.0595278
"long time"	0.0593151
"last three years"	0.0590271
"weeks ago"	0.0588165
"four months ago"	0.0584892
"next five years"	0.0584514
"Five months ago"	0.0582861
"nearly two hours"	0.0580253
"up to five years"	0.0579733
"more than three months"	0.0578898
"Four minutes"	0.0577591
anywhere	0.0576967
"three minutes"	0.0576612
"up to two years"	0.0575904
"last five years"	0.0573131
"two weeks ago"	0.0571461
"next two weeks"	0.0565899
"eight minutes"	0.0562477
"nearly four years"	0.0560842
"nearly @@ minutes"	0.0556219
"up to six months"	0.0554378
"last two years"	0.0552647
"six minutes"	0.0548734
"last four years"	0.0548503
"first time"	0.0545462
"decade ago"	0.0544216
"time ago"	0.0543943
"two decades ago"	0.0541711
"next two months"	0.0540446
"seven minutes"	0.0540055
"over two years"	0.0536284
"up to @@ months"	0.0535704
"past @@ years"	0.0534172
"decades ago"	0.0533283
"past four years"	0.0528242
"six weeks ago"	0.0528191
"more than two weeks"	0.0527051
"three nights"	0.0525171
June	0.0525131
"last week"	0.0522818
"nearly two months"	0.0520256
"one year ago"	0.0515482
"more than six years"	0.0514964
"past two years"	0.0514306
Summers	0.0512791
"more than three decades"	0.0512398
"from @@@@ to @@@@"	0.0508161
"more than one year"	0.0507956
"up to three years"	0.0506833
"next four years"	0.0506764
"more than three hours"	0.0502611
"five decades"	0.050247
"right here"	0.0501454
"three weeks ago"	0.0495333
September	0.0495328
"next three years"	0.049529
"first three years"	0.0485885
"first @@ years"	0.048395
))
("a few years ago" (desc 13617) (sims
"two years ago"	0.218308
"years ago"	0.203105
"three years ago"	0.202021
"five years ago"	0.196606
"four years ago"	0.193539
"a few months ago"	0.177702
"months ago"	0.175803
"about @@ years ago"	0.173437
"six months ago"	0.169837
"eight years ago"	0.165693
"two months ago"	0.164589
"a few weeks ago"	0.164145
"six years ago"	0.157201
"decade ago"	0.153918
"seven years ago"	0.149271
"two decades ago"	0.147952
"two weeks ago"	0.144818
"time ago"	0.144438
"nine years ago"	0.144223
"more than @@ years ago"	0.140212
"about five years ago"	0.138504
"almost @@ years ago"	0.135375
"decades ago"	0.134766
"three months ago"	0.132985
"Five months ago"	0.131573
"nearly @@ years ago"	0.128009
"three weeks ago"	0.126644
"one year ago"	0.126315
"four months ago"	0.118581
"seasons ago"	0.11839
"nine months ago"	0.117425
"over @@ years ago"	0.116697
"six weeks ago"	0.111993
"a few days ago"	0.111803
"four decades ago"	0.111586
"year ago"	0.111584
"about two years ago"	0.108295
"weeks ago"	0.107951
"about three years ago"	0.106126
"eight months ago"	0.102743
"seven months ago"	0.101193
"last week"	0.0999229
"from @@@@ to @@@@"	0.0996763
"week ago"	0.0990628
"nearly two years ago"	0.097473
"Ten years ago"	0.097468
"more than @@@ years ago"	0.0974331
"about @@ months ago"	0.0964136
"month ago"	0.0939124
"more than two years ago"	0.093764
"nearly two decades ago"	0.0932483
"five weeks ago"	0.0929204
today	0.0927124
"about @,@@@ years ago"	0.0919921
here	0.0913994
"nearly three years ago"	0.0899473
"two days ago"	0.0889805
"days ago"	0.0871034
yesterday	0.0837858
anywhere	0.0830598
"a few years"	0.0829835
"one night"	0.0822525
"about two weeks ago"	0.078108
"more than @,@@@ years ago"	0.0777979
"about four years ago"	0.0769916
"more than three years ago"	0.0767958
"four weeks ago"	0.0766915
"about two months ago"	0.0765439
"right here"	0.075919
"nine days ago"	0.0747846
"one day"	0.0734521
"more than two decades ago"	0.0703394
"Five days ago"	0.0696107
tomorrow	0.0683403
tonight	0.0675223
"less than two years ago"	0.066138
"three decades ago"	0.0661173
"three times"	0.0649515
"about three weeks ago"	0.0628154
"three days ago"	0.0612826
"four times"	0.0581905
"nearly two weeks ago"	0.0570837
"one month ago"	0.0565421
"a few months"	0.0561121
"one week ago"	0.0557065
"over five years"	0.0546799
"a few hours"	0.0545692
"from @@@@-@@@@"	0.0538
"over @@ years"	0.0536063
"four days ago"	0.0531331
"a few days"	0.0513675
"three years"	0.0511631
"three weeks"	0.051065
"two times"	0.0498654
"Five times"	0.0495986
"over six years"	0.0494662
"four months"	0.049007
"over two years"	0.0483052
"a few weeks"	0.0481768
"eight months"	0.0478933
"six hours"	0.0472122
"six times"	0.0471999
"six days"	0.0470205
"five years"	0.0464854
"six years"	0.0461311
"five minutes"	0.0457001
"a few minutes"	0.0456009
Christmas	0.0454893
"more than three months"	0.0453028
"over three years"	0.0452508
"eight days"	0.0451641
"seven times"	0.0449421
"one week"	0.0447996
"four years"	0.0443158
"about @@ times"	0.0439344
"two months"	0.0436809
"one year"	0.0430983
"nine times"	0.0430854
"more than @@ times"	0.0429742
"eight times"	0.0424495
"four days"	0.0423007
"six weeks"	0.0422468
nine-day	0.0421398
"about three hours"	0.041791
"one month"	0.0412447
"three days"	0.0406409
"two days"	0.0400293
))
("a la carte" (desc 1227.68) (sims
gourmet	0.102364
vegetarian	0.101702
tapa	0.0983025
potluck	0.089653
sit-down	0.0832983
Passover	0.0801903
Hands-off	0.0794243
"New Democrat"	0.0762421
weeknight	0.0753652
Tools	0.0742772
multichannel	0.0721395
one-to-one	0.0711011
Kron	0.0704012
Echostar	0.0694176
macaroni	0.0650784
go-slow	0.06498
PRIMESTAR	0.0648387
sorter	0.0641397
pop-up	0.0620723
Tex-Mex	0.0599005
health-conscious	0.0583438
poolside	0.057998
"wild rice"	0.0575908
"train ticket"	0.0570627
haute	0.0570571
scattershot	0.0553586
"white meat"	0.0546712
"snack bar"	0.0540958
bare-bones	0.053608
Seder	0.0527252
folio	0.0525447
proactive	0.0524101
fallback	0.0522726
vegan	0.051444
Fondue	0.051024
matzoh	0.050828
"laissez faire"	0.050776
Jell-O	0.0502455
"hot stock"	0.0494434
"Bordeaux wine"	0.0491335
"theater ticket"	0.0489185
doggie	0.0488956
"Middle Eastern"	0.0487833
inpatient	0.0470979
no-frills	0.0467877
Orangina	0.0466092
Steakhouse	0.0465585
B-@s	0.0464706
Zagat	0.0464163
cost-conscious	0.0461627
profit-sharing	0.0460532
Carlyle	0.0457371
doggy	0.0453117
"greeting card"	0.0452032
"utility program"	0.044582
frisee	0.0445473
quiche	0.0445047
outpatient	0.0436237
"wireless telephone"	0.0431272
quail	0.0430618
"pet food"	0.0430401
Stratus	0.0428541
"tea leaf"	0.0428177
"Judith Wiesner"	0.0428155
"main course"	0.0424525
DirecTV	0.0423818
Netcom	0.0422043
IE	0.0410481
"compact disk"	0.040882
onscreen	0.0408359
lentil	0.0407601
"kitchen sink"	0.0407411
shredders	0.0405557
"money order"	0.0404455
pilaf	0.0404214
"iceberg lettuce"	0.0401592
))
(A's (desc 27337) (sims
"White Sox"	0.254098
"Oakland Athletics"	0.240833
Orioles	0.237734
Royals	0.236796
Padre	0.232891
Phillies	0.230734
"blue jay"	0.229813
cub	0.216927
"Red Sox"	0.215193
dodger	0.212826
diamondback	0.211868
mariner	0.211277
marlin	0.204139
ASTROS	0.203505
Mets	0.202955
"Cleveland Indians"	0.200595
Yankee	0.198223
brave	0.197825
"Boston Red Sox"	0.196981
"devil ray"	0.1964
Oakland	0.195779
"New York Mets"	0.193809
Giants	0.193021
"Detroit Tigers"	0.191901
"Houston Astros"	0.186974
"Baltimore Orioles"	0.186113
"New York Yankees"	0.18472
Expo	0.18411
"Chicago White Sox"	0.183321
"Los Angeles Dodgers"	0.182423
angel	0.182311
"Atlanta Braves"	0.18089
Sox	0.180246
"Cincinnati Reds"	0.178216
"Toronto Blue Jays"	0.176437
"San Diego Padres"	0.176119
ranger	0.175969
cardinal	0.174298
"Chicago Cubs"	0.174139
"St. Louis Cardinals"	0.173073
pirate	0.172677
"Texas Rangers"	0.172459
"San Francisco Giants"	0.17091
"Kansas City Royals"	0.164971
"Florida Marlins"	0.163958
"Minnesota Twins"	0.163552
"Tampa Bay"	0.162846
"Milwaukee Brewers"	0.160708
brewer	0.159395
"Philadelphia Phillies"	0.158277
"Anaheim Angels"	0.157595
"Seattle Mariners"	0.155261
"Pittsburgh Pirates"	0.154849
"Tampa Bay Devil Rays"	0.151603
"Montreal Expos"	0.151236
Rockies	0.149931
Indian	0.149304
tiger	0.147831
Cleveland	0.144277
"Arizona Diamondbacks"	0.143499
"Colorado Rockies"	0.141844
twin	0.139889
athletics	0.133098
BEARS	0.132508
ANAHEIM	0.131586
Cincinnati	0.130427
Montreal	0.129561
"Washington Redskins"	0.129102
Eagles	0.126938
Baltimore	0.12571
red	0.12498
Celtics	0.12185
"New York Giants"	0.121575
oiler	0.120952
Toronto	0.120242
"San Diego"	0.116966
"St. Louis"	0.116724
clipper	0.116151
"Los Angeles Lakers"	0.115277
Lakers	0.115011
pacer	0.114702
Milwaukee	0.114535
Detroit	0.114354
Redskin	0.113688
panther	0.113164
Seahawks	0.112621
Pittsburgh	0.11259
bruin	0.110565
Seattle	0.109381
"Minnesota Vikings"	0.10937
"Washington Senators"	0.108978
MetroStars	0.107184
"Chicago Bulls"	0.106676
patriot	0.106342
"Los Angeles Clippers"	0.106219
"Red Wings"	0.106137
maverick	0.106047
"Mighty Ducks"	0.1059
"Green Bay Packers"	0.104958
Canuck	0.104883
"New York Jets"	0.104683
falcon	0.104564
Knicks	0.10454
Arizona	0.104278
"Indianapolis Colts"	0.104072
"Golden State Warriors"	0.10395
Minnesota	0.103923
Trojan	0.103871
"Indiana Pacers"	0.103834
packer	0.10375
Sonics	0.103118
"New York Islanders"	0.102985
wildcat	0.10262
"Dallas Mavericks"	0.102566
bronco	0.102539
"Cleveland Browns"	0.102336
Boston	0.102295
islander	0.101935
raider	0.101798
"Sacramento Kings"	0.101564
Houston	0.100759
Canadiens	0.100662
Bengals	0.100639
Colorado	0.100502
"San Francisco @@ers"	0.10039
colt	0.100291
"Washington Capitals"	0.100074
hawk	0.100057
sixer	0.0998177
cowboy	0.0998177
"Edmonton Oilers"	0.0996523
"Kansas City"	0.0995781
piston	0.0990563
"Calgary Flames"	0.0984911
bull	0.0982918
Hornet	0.098237
Atlanta	0.0980314
grizzly	0.0974325
"Dallas Cowboys"	0.0971878
devil	0.0966878
"Detroit Red Wings"	0.0966379
"Brooklyn Dodgers"	0.096188
"Oakland Raiders"	0.0960574
charger	0.095444
"Oregon State"	0.0953661
"Minnesota Timberwolves"	0.0950891
Gators	0.0947718
"New York Rangers"	0.0946266
"Buffalo Bills"	0.0945776
"Vancouver Canucks"	0.0945269
"Chicago Blackhawks"	0.0941927
sabre	0.0940333
ram	0.0939403
"Miami Dolphins"	0.0938873
"Maple Leafs"	0.0937759
Viking	0.0937507
"San Diego Chargers"	0.0935881
"Florida Panthers"	0.0929894
Edmonton	0.0928381
"Miami Heat"	0.0926085
Blackhawks	0.0922053
Timberwolves	0.0921305
"Atlanta Hawks"	0.0920215
flyer	0.0919841
"ATLANTA FALCONS"	0.0919579
spur	0.0919059
"New York Knicks"	0.0917497
"Boston Celtics"	0.0913014
"Denver Broncos"	0.0912406
husky	0.0907226
Philadelphia	0.0905739
"Houston Rockets"	0.0903266
"Dallas Stars"	0.09026
"St. Louis Rams"	0.0902206
LSU	0.0901512
"Philadelphia Eagles"	0.0892686
Raptor	0.0892442
"San Antonio Spurs"	0.0891171
coyote	0.0890838
gamecock	0.0889101
"Utah Jazz"	0.0886835
"Montreal Canadiens"	0.0885314
"Phoenix Suns"	0.0884257
"Los Angeles Kings"	0.0883894
"Chicago Bears"	0.0882928
Steelers	0.0882879
UCLA	0.0882831
"Philadelphia Flyers"	0.0882504
Portland	0.0879698
"Nashville Predators"	0.0874254
Raven	0.0872435
Chicago	0.0870182
"Tar Heels"	0.0867827
"Kansas City Chiefs"	0.0865238
cavalier	0.0861181
dolphin	0.0860827
"Ottawa Senators"	0.0857084
"Carolina Hurricanes"	0.0855933
bulldog	0.0855562
"Pittsburgh Penguins"	0.08522
))
(A-@ (desc 1329.5) (sims
Mig	0.244854
SU-@@	0.232374
Harrier	0.196397
F@@	0.153884
TU-@@@	0.149113
A-@@	0.140955
Il-@@	0.128606
MiG-@@	0.128292
F-@	0.127759
C-@	0.124905
stealth	0.120216
"Indian Air Force"	0.117557
B-@	0.116243
"electronic warfare"	0.112567
"Royal Air Force"	0.112535
F-@@@	0.106396
IAF	0.105186
widebody	0.103553
a@	0.100092
Cessna	0.0956484
"Korean Air"	0.0953887
kamikaze	0.0929788
"Stage @"	0.0903643
RAF	0.0897481
"China Airlines"	0.0874481
"blue angel"	0.0869554
"Ethiopian Airlines"	0.0842811
"Indian Airlines"	0.0815165
Comair	0.0813342
"Three hundred"	0.0789725
turboprop	0.0772514
AWACS	0.0760353
thunderbolt	0.0759808
USAir	0.0756008
P-@	0.0745985
"ground attack"	0.0742682
"Airbus @@@"	0.0730904
DC-@@	0.0715594
warthog	0.0707716
"Kenya Airways"	0.0700821
"Airbus A@@@"	0.0697515
"Air India"	0.069164
"Thai Airways"	0.0688126
A-@@@	0.0674619
MD	0.0657731
A@@@-@@@	0.0657151
airforce	0.0651057
T-@@	0.0633173
double-decker	0.0626006
C-@@	0.0623499
tomcat	0.0623497
"Eastern Airlines"	0.0621734
C-@@@	0.0616047
B@@	0.0610968
"Turkish Airlines"	0.0602192
two-seater	0.0597406
"Blue Ridge"	0.0588329
B@	0.0581822
Emery	0.0580108
second-grade	0.0576077
AN-@@	0.0570601
"U.S. Air Force"	0.0567093
McDonnell	0.0566065
slurry	0.056249
"Air National Guard"	0.056168
A@@@	0.0558784
A@XX	0.0545398
readying	0.0540563
C-@@@J	0.0533127
"Gulf Air"	0.0531824
"Alaska Airlines"	0.0522953
"Cathay Pacific Airways"	0.0521162
"U.S. Navy"	0.0509604
"St. Helena"	0.050242
Prowler	0.0501198
"electronic surveillance"	0.0497987
"Air France Concorde"	0.0493706
"Virgin Atlantic"	0.0493444
WWII	0.0492084
"roughly @@@"	0.0490929
DC-@	0.049018
"Japan Airlines"	0.0488466
X-@@	0.0488155
wasabi	0.0480465
"Marine Corps"	0.047893
mpg	0.0472321
reconnaissance	0.0468627
"Federal Express"	0.0464326
Aeroflot	0.0463652
EgyptAir	0.0462833
Embraer	0.0459039
"South African Airways"	0.0458186
"Cessna @@@"	0.0457432
"China Southern Airlines"	0.0447515
Montauk	0.0446968
Iberia	0.0445636
"Vietnam Airlines"	0.0445375
ALFREDO	0.0441515
"South Vietnamese"	0.0440252
teriyaki	0.0440213
butterscotch	0.0428151
Hercules	0.0423346
"second hand"	0.0421743
No.@@@	0.0419896
"McDonnell Douglas"	0.0419328
Alitalia	0.0415654
propeller	0.0413933
"up to six"	0.0406395
"Trans World Airlines"	0.0402614
))
(A-@@ (desc 2817.85) (sims
SU-@@	0.20732
MiG-@@	0.19913
Mig	0.194728
Harrier	0.170563
C-@@	0.155327
Il-@@	0.154719
F-@	0.147764
C-@@@	0.147213
warthog	0.144472
TU-@@@	0.14182
A-@	0.140955
F-@@@	0.137555
F-@@	0.13433
F@@	0.131558
"Joint Strike Fighter"	0.123534
AN-@@	0.122827
"Indian Air Force"	0.119615
stealth	0.117353
"Royal Air Force"	0.115564
IAF	0.11127
"Airbus @@@"	0.108858
kamikaze	0.108315
widebody	0.106759
"electronic warfare"	0.10058
A@@@-@@@	0.0975879
B-@@	0.0964815
B-@	0.0963344
AWACS	0.0959827
thunderbolt	0.0949579
"China Airlines"	0.0948479
DC-@@	0.0942749
U.S.-British	0.094015
"Airbus A@@@"	0.0938574
F-@@s	0.0927035
turboprop	0.0925976
two-seater	0.0924688
Prowler	0.0921609
"ground attack"	0.0914602
"U.S. Air Force"	0.0912475
RAF	0.0900505
C-@	0.0874298
P-@	0.0872796
"Indian Airlines"	0.0864128
"Korean Air"	0.0863339
"Stage @"	0.0855284
"Ethiopian Airlines"	0.0833409
MD	0.0823655
Mirage	0.0815797
"Alaska Airlines"	0.0811258
airforce	0.0793269
glider	0.0776076
bomber	0.0755253
reconnaissance	0.0748179
A@@@	0.0743925
"Big West"	0.0741642
"Hong Kong Open"	0.0741397
Cessna	0.0738831
"blue angel"	0.0737615
"Turkish Airlines"	0.0735183
A-@@@	0.0734749
C-@@@J	0.0732923
USAir	0.0722568
"American plane"	0.0722038
DC-@	0.0715174
MD-@@	0.071308
"Kenya Airways"	0.0698969
"Cessna @@@"	0.0693978
"Air France Concorde"	0.0686828
T-@@	0.0680164
Hornet	0.0677377
McDonnell	0.0673781
"Air India"	0.0660175
"Western Athletic Conference"	0.0652315
three-meter	0.0646496
X-@@	0.0644388
"Stockholm Open"	0.0641857
"ATP Championship"	0.0639669
"Atlantic Coast Conference"	0.0637804
readying	0.0634298
"up to six"	0.0628773
gunship	0.062056
"Hamlet Cup"	0.0620477
"Thai Airways"	0.0613594
Comair	0.0609287
tomcat	0.060871
A@XX	0.0606081
"Hopman Cup"	0.0601039
Hercules	0.0587915
"U.S. Navy"	0.0585251
UTA	0.0582387
"Eastern Airlines"	0.0578833
C-USA	0.0576062
Emery	0.0575891
EgyptAir	0.0575418
"Kremlin Cup"	0.0572917
Embraer	0.0570407
Apache	0.0570214
osprey	0.0569135
WTA	0.0560786
"Grand Slam Cup"	0.0553335
"Big Sky Conference"	0.0549789
"World Championship"	0.0548715
"night time"	0.0548193
"Little League World Series"	0.0539946
WCC	0.0537298
midrange	0.0536082
"Pan Am"	0.0535627
warplane	0.0533825
"Marine Corps"	0.0533553
"South Regional"	0.05328
"Big East"	0.0526657
"Federation Cup"	0.0525603
"West Regional"	0.0523441
CAA	0.0522269
Iberia	0.0522151
Orion	0.0520818
Maurier	0.0519298
Starzz	0.0519117
"Gulf Air"	0.051691
drone	0.0514006
"Japan Open"	0.051222
Airlines	0.0510288
double-decker	0.0509893
"Swiss Open"	0.0504235
"other @@@"	0.0503682
"Cathay Pacific Airways"	0.0502871
"Vietnam Airlines"	0.0502173
"Italian Open"	0.0501182
gunboat	0.0494817
"Japan Airlines"	0.0493421
"McDonnell Douglas"	0.0492083
"roughly @@@"	0.0491568
GP	0.0489909
"Big Sky"	0.0488754
"Southwest Conference"	0.0488692
ACC	0.0485615
"Air National Guard"	0.0485523
a@	0.0483406
"Three hundred"	0.0482937
PBA	0.0482645
CWS	0.0481233
"Air France"	0.0478202
ATP	0.0477805
"Copa America"	0.0472113
gopher	0.0471069
"Midwest Regional"	0.047072
"Louis Vuitton Cup"	0.0470281
Concorde	0.0469882
"European Champions Cup"	0.0466381
snooker	0.046596
Kazakh	0.0464404
"fighter aircraft"	0.0464293
hardcourt	0.0464002
THAAD	0.0463765
"air-to-air missile"	0.0461123
"surface ship"	0.0458376
bearcat	0.0456222
M@@	0.0455805
"Canadian Open"	0.0452973
"Lebanese Hezbollah"	0.0452579
"first nine"	0.0452313
KLM	0.0451999
"Cathay Pacific"	0.0450923
"Acura Classic"	0.0450307
transporter	0.044805
"Conference USA"	0.0447081
"Horned Frogs"	0.0443966
"Other @@"	0.0441799
"Crimson Tide"	0.0441721
piper	0.0439173
"Fed Cup"	0.0438573
"League Cup"	0.0438064
Uzbek	0.0437611
"first six"	0.0437401
"Division @"	0.0437273
"Federal Express"	0.0436416
"German Open"	0.043595
"Uber Cup"	0.0435651
Goran	0.0435524
over-@@	0.0433694
WWII	0.0433405
"Virgin Atlantic"	0.0432879
Unitas	0.0432668
turbo	0.0428967
RRA	0.0428266
Aeroflot	0.0427893
"trial balloon"	0.0427373
"Championship Auto Racing Teams"	0.04264
ICBM	0.042472
UAB	0.0424279
"Libertadores Cup"	0.0424259
"America West"	0.0424049
"first eight"	0.0421884
Alitalia	0.0420985
ebony	0.0419132
Qantas	0.0418707
"NFC East"	0.0418536
Murrell	0.0418205
"Fighting Irish"	0.0417888
Tajik	0.0417746
))
(A-@@@ (desc 3278.9) (sims
DC-@@	0.307025
"Airbus @@@"	0.300332
A@@@-@@@	0.283868
"Airbus A@@@"	0.25797
DC-@	0.235194
MD-@@	0.235153
A@@@	0.209845
TU-@@@	0.199192
"Cessna @@@"	0.194447
AN-@@	0.15665
"Air France Concorde"	0.150232
MiG-@@	0.149932
"Indian Airlines"	0.146709
Il-@@	0.144935
jetliner	0.14297
turboprop	0.137386
Cessna	0.13141
A@XX	0.125494
"China Airlines"	0.124408
widebody	0.122958
AWACS	0.122628
USAir	0.122369
"Thai Airways"	0.122224
Airbus	0.121986
C-@@@	0.121326
C-@@	0.120322
Airlines	0.118012
SU-@@	0.11772
Garuda	0.115415
osprey	0.113162
"Pan Am"	0.110074
"electronic warfare"	0.109612
double-decker	0.109387
C-@	0.108895
Harrier	0.107958
Concorde	0.101301
Boeing	0.100555
"Flight @@@@"	0.0998712
Prowler	0.0992859
"Kenya Airways"	0.0981394
"Indian Air Force"	0.0968117
P-@	0.0961536
Airways	0.0960121
"Ethiopian Airlines"	0.0943507
two-seater	0.0940002
Mig	0.0936658
EgyptAir	0.0936467
airliner	0.0932973
"Stage @"	0.0932011
Hercules	0.0914819
"Gulf Air"	0.0908135
IAF	0.0902479
"Turkish Airlines"	0.0894096
"Korean Air"	0.0884599
Aeroflot	0.087388
"EgyptAir Flight @@@"	0.0867033
MD	0.0857425
reconnaissance	0.0857022
TWA	0.0842126
Swissair	0.0835748
F-@	0.0834699
"Vietnam Airlines"	0.083059
"Alaska Airlines"	0.0822041
"Air India"	0.0812268
"ground attack"	0.0805673
KLM	0.080326
Iberia	0.0802003
JAT	0.0798216
F-@@	0.0798051
Learjet	0.0795781
Orion	0.078573
warthog	0.0781883
airforce	0.0777452
X-@@	0.0775829
"Flight @@@"	0.0758851
glider	0.0744568
T-@@	0.0741546
"McDonnell Douglas"	0.0740857
A@@@s	0.073882
"TWA Flight @@@"	0.0737591
A-@@	0.0734749
Apache	0.0729061
tomcat	0.0726868
"Air France"	0.0687189
"China Southern Airlines"	0.0678458
A-@	0.0674619
"Royal Air Force"	0.0669656
RAF	0.0665256
ValuJet	0.0661119
"Eastern Airlines"	0.0658548
"U.S. Air Force"	0.0656838
"oil tanker"	0.0653836
"domestic flight"	0.0653194
B-@@	0.0653067
gunship	0.0648331
"Japan Airlines"	0.0640401
"El Al"	0.0635965
"Delta @"	0.0633192
F-@@@	0.0632839
Comair	0.0629236
C-@@@J	0.0627077
"jet plane"	0.0620181
biplane	0.0617868
"gambling casino"	0.0617222
"Trans World Airlines"	0.0614428
ferryboat	0.060289
F@@	0.0599728
Qantas	0.0598282
"Swissair Flight @@@"	0.0597231
piloting	0.059566
Alitalia	0.0594604
Embraer	0.0581289
drone	0.0578355
B-@	0.057757
"Philippine Airlines"	0.0572471
"South African Airways"	0.0566643
piper	0.0556887
"hot-air balloon"	0.055361
V-@@	0.0551226
thunderbolt	0.0549952
"cargo vessel"	0.0549023
"American eagle"	0.0540639
tanker	0.0540006
"Airbus Industrie"	0.0538637
jeepney	0.0535999
Sabena	0.0535991
"passenger ship"	0.05321
"U.S. Navy"	0.0531111
Concordes	0.0528117
warplane	0.0521014
McDonnell	0.0516885
Lufthansa	0.051426
Aeromexico	0.0513995
"Northwest Airlines"	0.0509066
"Continental Airlines"	0.0507141
"United Airlines"	0.050299
"American Airlines"	0.0502861
F-@@s	0.0502268
UTA	0.0502065
duster	0.0500043
"Another two"	0.0499915
spaceship	0.049777
Apaches	0.0496516
sightseeing	0.0496192
boarding	0.0492347
Gulfstream	0.0491629
Mini-bus	0.0490908
"Cathay Pacific"	0.0490705
stealth	0.0484465
"patrol ship"	0.048305
chopper	0.0481591
SAA	0.0470849
"Virgin Atlantic"	0.0470809
freighter	0.0469333
"Air National Guard"	0.0467214
"electronic surveillance"	0.0467192
"fighter aircraft"	0.0465792
"Air Lanka"	0.0462738
Emery	0.0461088
co-pilot	0.0456948
"merchant ship"	0.0452898
planeload	0.0451853
Mirage	0.0450484
"Air China"	0.04499
"Delta Airlines"	0.0446464
"American plane"	0.0444498
minibus	0.0443679
interceptor	0.0441369
"Lincoln Town Car"	0.0437399
"Southwest Airlines"	0.0436491
"commuter train"	0.0432731
Hindenburg	0.0429784
K-@	0.0428156
Dragonair	0.0428
"up to six"	0.0427861
"Air Canada"	0.0426687
"Another @@@"	0.0426681
"America West"	0.0425745
"Pan Am Flight @@@"	0.0423726
"Cathay Pacific Airways"	0.0423707
kamikaze	0.0423543
"international flight"	0.0420874
Fares	0.0420103
"Lunar Prospector"	0.0419533
Atlantis	0.0417967
readying	0.0415434
one-up	0.0413534
MEA	0.0412906
spotter	0.041243
Govt	0.0411901
"cargo ship"	0.0410618
around-the-clock	0.0409644
"Marine Corps"	0.0409455
"China Eastern Airlines"	0.0405599
"booster rocket"	0.0404169
"U.S. Coast Guard"	0.0401613
U-boat	0.0400756
))
(A-list (desc 1864.96) (sims
blacklist	0.0751748
ADP	0.0678656
co-chairs	0.0593878
hairstylist	0.0585016
"leading man"	0.0580266
"short list"	0.0579746
pimpernel	0.0574596
"cup of tea"	0.0561227
courting	0.0559606
half-dozen	0.0540694
scriptwriter	0.0528017
"leading lady"	0.0517817
merry-go-round	0.0482796
Pantheon	0.048138
Echelon	0.0462194
"Richard Gere"	0.0447552
recap	0.0433634
"organic law"	0.0433462
overvaluation	0.0432446
mover	0.0431643
coterie	0.0429405
"big shot"	0.0424415
iteration	0.0423399
"talent agent"	0.0409426
planeload	0.0405901
"representative sample"	0.0405449
"sphere of influence"	0.0402684
dealmaker	0.0400977
))
(A-Rod (desc 1750.75) (sims
"Alex Rodriguez"	0.120523
Nomar	0.0995825
Derek	0.0993851
Larkin	0.0985639
"Jay Buhner"	0.0940533
Rodriguez	0.093555
Alomar	0.0865806
"Edgar Martinez"	0.082585
McGriff	0.0794545
Segui	0.0787155
Alex	0.0780858
mo	0.0780538
"senior high school"	0.0753675
Daigle	0.0735307
Duchesne	0.0714787
Ripken	0.0713181
Velarde	0.0705113
"Bobby Abreu"	0.0692296
Buhner	0.0644166
Lankford	0.0634485
Bichette	0.0626955
Harbaugh	0.061118
Andreychuk	0.0609428
"senior class"	0.060622
Palmeiro	0.059317
Primeau	0.0574535
Hollandsworth	0.0571287
Zolak	0.0571172
"Cal Ripken Jr."	0.0571076
Beltre	0.0566502
Lett	0.0563352
Gatling	0.0562254
Fortson	0.0561306
Meggett	0.0557499
"Van Exel"	0.0556836
Laettner	0.0556229
Mabry	0.0554403
Abreu	0.0549498
"Barry Larkin"	0.0548526
"Dion Glover"	0.0547023
CORYATT	0.0545387
Tverdovsky	0.0544255
Knoblauch	0.0541097
"Ray Lankford"	0.0534256
Maradona	0.0533711
Mattingly	0.0533018
Alfonzo	0.0530393
Niedermayer	0.0525556
"Robin Ventura"	0.0524343
Peyton	0.0519023
"Dante Bichette"	0.0517726
Norstrom	0.0513057
Meares	0.0511511
Neely	0.0511107
McCown	0.0510724
Perisho	0.0510387
"Francisco Cordova"	0.0507067
Ausmus	0.0504721
Randy	0.0501176
"Jeff Conine"	0.0499906
Brunell	0.0499276
Aurilia	0.0496301
"Geoff Jenkins"	0.0494315
"Marvin Benard"	0.0493166
Eldred	0.0492671
Berard	0.0491782
"Todd Hundley"	0.049133
Grbac	0.0490067
"Chris Widger"	0.048686
Detmer	0.0485914
Zubov	0.0484625
Hundley	0.048399
Galloway	0.0483131
Huard	0.0482549
Fuhr	0.048197
Dafoe	0.048191
"Cal Ripken"	0.0479744
Burnitz	0.0477234
"Edgardo Alfonzo"	0.0473886
"Will Clark"	0.0470608
Javier	0.0468917
Brosius	0.0467256
"Major Applewhite"	0.0466149
McIver	0.046598
Nilsson	0.0465812
Marinovich	0.0464179
Cowens	0.0463555
Checo	0.0462455
DiSarcina	0.045909
Zeile	0.0459012
"Brian Hunter"	0.045885
"Bernard Gilkey"	0.0456347
Khristich	0.0453598
Neilson	0.0452655
Alou	0.0452491
Cirillo	0.0452346
Vizcaino	0.0451865
Brees	0.0451675
Cowher	0.0451425
Nevin	0.0451341
Swann	0.0450984
"Chuck Knoblauch"	0.0449595
Crenshaw	0.0447931
"Di Canio"	0.0447749
Polly	0.0446414
Matvichuk	0.0445418
Nieuwendyk	0.0443594
"Michael Tucker"	0.0442872
Bure	0.0442383
"Mark Kotsay"	0.044146
Mora	0.0441206
"Jose Vizcaino"	0.0441131
Edmonds	0.0440577
"Warren Morris"	0.0439464
Reichel	0.0438697
Ebbers	0.0438682
"Pat Meares"	0.043819
Sehorn	0.043771
"Mark Loretta"	0.0436078
"Russ Davis"	0.0435951
"Drew Bennett"	0.0435473
Maris	0.043438
Perrot	0.0433174
Dilfer	0.0431892
Fonda	0.0431631
rickey	0.0430881
"Rafael Palmeiro"	0.0430606
"Luis Polonia"	0.0430383
Kukoc	0.0429505
"Dmitri Young"	0.0429335
"Manny Ramirez"	0.0428451
"Rich Aurilia"	0.0428263
Bonilla	0.0428063
Yashin	0.042723
"Supreme Judicial Court"	0.0427012
Phelan	0.0426021
Sexson	0.0425943
Oakley	0.0422992
Cora	0.0422967
"Eric Davis"	0.0422628
"Tony Phillips"	0.0421581
Ebert	0.0421389
Neagle	0.0420702
Drury	0.0420206
Longley	0.0419888
Costner	0.0418793
GRUDEN	0.041812
Roger	0.0416619
Bourque	0.0416019
Kamensky	0.041571
Beltran	0.0415642
Fisk	0.0415609
"Big Mac"	0.04156
Jeffers	0.041547
Hoddle	0.0413294
Valentin	0.0412868
"Paul O'Neill"	0.0412843
Brisby	0.0412682
Cienfuegos	0.0412433
"Lee Stevens"	0.0411019
"Todd Hollandsworth"	0.041052
"Mike Cameron"	0.0410016
"what else"	0.0409951
Humphrey	0.0409082
Jacobson	0.0408441
Godfrey	0.040702
"Eric Owens"	0.0406325
Lafleur	0.0405623
Bibi	0.0405018
"Rickey Henderson"	0.0403399
Trent	0.0402902
"Darryl Hamilton"	0.0401969
"Carlos Delgado"	0.0401739
whoever	0.0401704
Elster	0.0401703
Rueter	0.0401304
Mercker	0.0401153
Leetch	0.0400731
"Jorge Fabregas"	0.0400721
Reynoso	0.0400594
))
(A-shares (desc 1680.14) (sims
B-shares	0.37228
"B share"	0.217747
"ordinary shares"	0.0980332
"joint-stock company"	0.0937414
Stamps	0.0916204
Eurobonds	0.0886806
T-bonds	0.0785666
ICS	0.0769165
"silver dollar"	0.0753339
"common shares"	0.0728501
"Composite Index"	0.0709487
"convertible bond"	0.0688448
"sugar refinery"	0.0648108
Sensex	0.0613724
"preferred stock"	0.0612053
"building permit"	0.0611916
zloty	0.0606363
"color television"	0.0601705
sub-index	0.0599788
"options contract"	0.058263
"preferred shares"	0.0560334
indices	0.0559183
"bank note"	0.0544628
korun	0.0536423
"Hang Seng China-Affiliated Corporations Index"	0.0534855
dinar	0.0531081
dollars-worth	0.0530693
"more than @@@ billion yuan"	0.0526766
"Kenya Shillings"	0.0510843
"Tanzania Shillings"	0.0510668
debenture	0.0510523
"currency unit"	0.0509616
"five billion yuan"	0.0508334
"Iranian POWs"	0.0507668
"Uganda Shillings"	0.0503014
"utility program"	0.0499141
"Philippine Stock Exchange"	0.0497228
"fig leaf"	0.0496161
"final judgment"	0.0487358
metical	0.0487045
"science museum"	0.048481
VND	0.0482995
Eurobond	0.0481475
"Zimbabwe Dollars"	0.0477337
"stock certificate"	0.0474071
"over @@ billion yuan"	0.0472877
Pula	0.0463388
"over @.@ billion yuan"	0.0462438
"parking space"	0.0461563
IOU	0.0460586
"postage stamp"	0.0459942
"Nikkei Stock Average"	0.0459842
"work permit"	0.0456663
gilder	0.0455635
obit	0.0454844
"safe harbor"	0.0453629
overdraft	0.0448527
"commercial paper"	0.0446291
"four billion yuan"	0.0442373
"prairie dog"	0.0436639
"Orthodox Christians"	0.0435016
"municipal bond"	0.043456
reais	0.0433493
"cubic meter"	0.0433309
"Treasury note"	0.0433278
"three billion yuan"	0.0433004
transistor	0.0432823
"blue-chip stock"	0.0427079
Strauss-Kahn	0.0426723
"futures trading"	0.0426541
scrip	0.042496
hryvnas	0.0423451
SEZ	0.0422855
"more than @ billion yuan"	0.0422729
ECU	0.0420062
Bovespa	0.041968
"Treasury bill"	0.0417816
cardholders	0.0416169
Lari	0.0414803
"Karachi Stock Exchange"	0.0414229
"Pacific Bell Park"	0.0414192
near-monopoly	0.0413093
USD	0.0411662
prospectus	0.0410284
"Kuwait Stock Exchange"	0.041008
"stamp collector"	0.0409892
"parcel of land"	0.0408842
mollusk	0.040804
shilling	0.0407531
prosthesis	0.0407436
rouble	0.040446
"Nairobi Stock Exchange"	0.0404275
"more than @@.@ billion yuan"	0.0400251
))
(a. (desc 12302.6) (sims
B.	0.168792
D.	0.130707
p.	0.11936
Q.	0.116172
C.	0.100004
H.	0.0926208
J.	0.0823296
O.	0.0815262
K.	0.0786698
B	0.077543
C	0.0757919
E.	0.0708603
g.	0.0697661
H	0.067687
San	0.0672191
T.	0.0670946
R.	0.0655316
d	0.0617837
S.	0.0585329
Q	0.0559413
G	0.0543729
F.	0.0542507
m.	0.05422
e	0.0537045
oh	0.0499414
W	0.0456572
f	0.0449714
Srinagar	0.0434325
v.	0.0430355
U	0.0416675
Z	0.0414878
Dushanbe	0.0414076
O	0.0408744
Why	0.0407833
BOGOTA	0.0403403
))
("A.C. Green" (desc 4065.16) (sims
"Rick Fox"	0.359976
"Brian Shaw"	0.296801
"J.R Reid"	0.293232
"Derek Fisher"	0.271991
"Gary Trent"	0.267148
"Ron Harper"	0.266075
"Robert Horry"	0.262272
"Travis Knight"	0.237497
"Samaki Walker"	0.229472
"Derek Harper"	0.210674
"John Salley"	0.199022
"Glen Rice"	0.188841
"Dirk Nowitzki"	0.187356
"Hubert Davis"	0.184801
"Chris Anstey"	0.181199
"Steve Nash"	0.179014
"Cedric Ceballos"	0.17791
"Kobe Bryant"	0.165203
"Michael Finley"	0.160993
"Austin Croshere"	0.155135
"Sean Rooks"	0.151114
Horry	0.149787
"Chris Webber"	0.135653
"Maurice Taylor"	0.133217
Nowitzki	0.132602
"Robert Pack"	0.132121
"Eddie Jones"	0.123781
"Kurt Thomas"	0.123289
"Vin Baker"	0.122651
"Toni Kukoc"	0.121445
"Dennis Rodman"	0.117313
"Grant Long"	0.116553
"Antonio Davis"	0.115993
Bryant	0.115774
"Shawn Bradley"	0.115427
"Anthony Mason"	0.113719
"Corliss Williamson"	0.112103
"Derrick Coleman"	0.110206
"Scottie Pippen"	0.10692
"Dennis Scott"	0.106576
"Mark Bryant"	0.105873
"Herb Williams"	0.105755
"Charles Barkley"	0.105286
"George McCloud"	0.103951
"Elden Campbell"	0.103679
"SCOTT BURRELL"	0.103452
"Mitch Richmond"	0.102589
"Ron Artest"	0.101075
"Ruben Patterson"	0.0988427
Harper	0.0980318
"John Wallace"	0.0968664
"Danny Fortson"	0.0967682
"Joe Smith"	0.0966512
"Brian Grant"	0.0964332
"Hu Weidong"	0.0962864
"Gabe Muoneke"	0.0961375
"Kenyon Martin"	0.095993
"Devean George"	0.0951244
"Carlos Rogers"	0.0950087
"Detlef Schrempf"	0.0949735
"Shaquille O'Neal"	0.0943694
"Christian Laettner"	0.0941604
"Mark Madsen"	0.0935246
"Keith Van Horn"	0.0931215
"Terry Porter"	0.0931129
"Rodney Rogers"	0.0913686
"Paul Pierce"	0.0906322
"Grant Hill"	0.0898948
"Tom Gugliotta"	0.0895431
"Sean Elliott"	0.0890823
"Alen Boksic"	0.0889875
"Tyrone Nesby"	0.0886786
"Reggie Miller"	0.0883114
"Isaiah Rider"	0.0879621
"Chris Crawford"	0.0876995
"Marcus Fizer"	0.0871706
"CORIE BLOUNT"	0.087097
"Chris Porter"	0.086631
"Charles Oakley"	0.0860255
"Sam Perkins"	0.0859593
"Jarvis Turner"	0.0857325
"Anfernee Hardaway"	0.0856296
"Sam Cassell"	0.0852289
"Jamie Feick"	0.0851485
"Robert Traylor"	0.0848985
O'Neal	0.0842416
"Rasheed Wallace"	0.0841339
"Lamond Murray"	0.0841168
"Dan Majerle"	0.0835802
"Tamika Catchings"	0.0834879
"Rick Tocchet"	0.0828684
"Juwan Howard"	0.0828341
"Michael Wright"	0.0827444
"Dominique Wilkins"	0.0816076
"Kevin Freeman"	0.0814994
"Theo Fleury"	0.0814991
"Randy Brown"	0.080777
"Marcus Camby"	0.0804769
"Jerome Moiso"	0.0802185
"Wang Tao"	0.0798419
"Pat Garrity"	0.0790712
"Tim Thomas"	0.079013
"Chris Mills"	0.0786853
"Jermaine O'Neal"	0.0784944
"Eric Wynalda"	0.0784852
"Alan Henderson"	0.0782611
"Antawn Jamison"	0.0779694
"Greg Adams"	0.0778207
Rodman	0.0776914
"Mike Miller"	0.0776451
"Luc Longley"	0.0775815
"Antonio McDyess"	0.0774728
"Rashard Lewis"	0.0772391
"Sam Clancy"	0.0769458
"Vlade Divac"	0.0766609
"Chris Mullin"	0.0765974
"Otis Thorpe"	0.0764123
"Ron Mercer"	0.0760329
"Alexei Kovalev"	0.0753147
"Don Nelson"	0.0750926
"John Vanbiesbrouck"	0.0747778
"Latrell Sprewell"	0.0745169
"Shawn Marion"	0.0743066
"Jumaine Jones"	0.0740868
"P.J Brown"	0.0738475
"Cliff Ronning"	0.0738129
"Mike Sullivan"	0.0731983
"Dale Davis"	0.0731559
"Kendall Gill"	0.0729789
"Ian Wright"	0.0729559
"Hao Haidong"	0.0726589
"Horace Grant"	0.0725489
"Jalen Rose"	0.0725299
"Tony Battie"	0.0724926
"Clarence Weatherspoon"	0.0724517
"Karl Malone"	0.0722959
"Ivan Zamorano"	0.0720495
"Jason Kidd"	0.0720277
"Walt Williams"	0.0720046
"Terry Cummings"	0.0719997
Kobe	0.0718575
"Juergen Klinsmann"	0.0718124
"Kevin Garnett"	0.0717677
"Larry Johnson"	0.0717072
"DeLisha Milton"	0.0716227
"Theo Ratliff"	0.0715665
"Shannon MacMillan"	0.0712747
"Raef LaFrentz"	0.0712642
"Roy Rogers"	0.0711085
"Shawn Kemp"	0.0709529
"Doug Pederson"	0.0704527
"Penny Hardaway"	0.0704517
"Jayson Williams"	0.0701278
"Antoine Walker"	0.0694837
"Bryon Russell"	0.0694746
"Tim Duncan"	0.0691642
"Joe Kleine"	0.0690295
"Kevin Willis"	0.068987
"Clifford Robinson"	0.0689028
"Matt Harpring"	0.0687572
"Sean Farnham"	0.0686403
"Clyde Drexler"	0.0684687
"Wendel Clark"	0.0681587
"Brian Scalabrine"	0.0681278
"Mark Jackson"	0.0680597
Trent	0.067917
"Tyronn Lue"	0.0678577
"Richard Hamilton"	0.0677276
"LaPhonso Ellis"	0.0677269
"Mia Hamm"	0.0676959
"Doug Gilmour"	0.0674509
"Matt Bullard"	0.067241
"Billy Owens"	0.067032
"Jerome Kersey"	0.067001
"Bill Wennington"	0.0669542
"Ted Donato"	0.0667679
"Jaren Jackson"	0.0665574
"Tina Thompson"	0.0662873
"Stern John"	0.066283
"Chris Gatling"	0.0661544
"Chris Carrawell"	0.0661329
"Brian Skinner"	0.0658883
"Nick Van Exel"	0.0657571
"Eric Murdock"	0.0656086
"Tiffeny Milbrett"	0.0655987
"Chris Childs"	0.0649864
"Scot Pollard"	0.0648476
"Cobi Jones"	0.0647529
"David Robinson"	0.0644802
"Kerry Kittles"	0.0643592
"Dale Ellis"	0.0642966
"Michael Smith"	0.0642884
"Ante Razov"	0.0642145
"Leon Smith"	0.0640949
"Brent Barry"	0.0638977
Longley	0.063875
"JaRon Rush"	0.0635353
Garnett	0.0635003
"Othella Harrington"	0.063429
"Mario Elie"	0.0634152
))
(A.D (desc 11090) (sims
B.C	0.284094
BC	0.126352
"Han Dynasty"	0.106363
"Yuan Dynasty"	0.093933
"Tang Dynasty"	0.0939028
BCE	0.08679
"Qing Dynasty"	0.08129
"Song Dynasty"	0.0747231
"Western Han Dynasty"	0.0742401
"Ming Dynasty"	0.073572
dynasty	0.0667583
CE	0.0652011
"Shang Dynasty"	0.0632569
"about @@@@"	0.060522
tomb	0.058837
"LA Lakers"	0.0552399
mw	0.05522
Han	0.0508804
"kilometers per hour"	0.0500265
kiln	0.0486684
"Stone Age"	0.0441577
mid-@@th	0.0439714
Bayi	0.0435071
megahertz	0.0412185
Supersonics	0.0406228
))
(A.J (desc 2408.75) (sims
Tim	0.072577
Carl	0.0723927
Jamie	0.0721908
Greg	0.0719337
Derek	0.0703121
"Ken Johnson"	0.0681132
Kevin	0.0674963
Jake	0.0671316
Randy	0.0635033
Ben	0.0625567
Rodrigo	0.0604577
Odai	0.0597848
Ricky	0.0585975
Phil	0.0570875
Hoke	0.0569327
Jimy	0.0564653
Jeff	0.056361
Robbie	0.0561765
Wayne	0.0558296
Marty	0.0553726
Hearn	0.055163
Jamal	0.0549902
Chris	0.0538931
Meggett	0.0536679
Kenny	0.05366
Jason	0.053068
Robby	0.0529197
Brian	0.0528412
Jeremy	0.0528158
Sasha	0.0527532
Fred	0.0526252
Jon	0.0525058
Theo	0.0524683
Todd	0.0523113
beau	0.0522317
Scottie	0.052165
Gary	0.0520993
Patrick	0.0517174
Potapenko	0.0516259
Speedster	0.0511195
Hamzah	0.0510556
Debbie	0.0504213
Cathy	0.050368
Jimmy	0.0502983
derrick	0.0501796
ty	0.0494417
Glaber	0.0493641
Eric	0.0492628
Darrell	0.049038
Miguel	0.0489252
Ron	0.0486392
Horry	0.0486186
Elijah	0.0480849
Darren	0.0480814
Evan	0.048063
Larry	0.047968
Steve	0.0479561
Latrell	0.0478787
Brody	0.047796
Eddie	0.0477227
dale	0.047701
Davey	0.0475373
Lockyer	0.0474839
Chuck	0.0472002
Zolak	0.0471668
Gabe	0.0469688
Badillo	0.0466078
"Rintje Ritsma"	0.0465624
Gerald	0.0465401
Lance	0.0464307
Carlson	0.0464272
Ian	0.0463264
Edgar	0.046241
Colin	0.0460907
Menuhin	0.0460629
Barry	0.0458048
jay	0.0457775
Nomar	0.0456978
Glen	0.045673
Nathaniel	0.0456241
Stephanie	0.0454464
"Adam Petty"	0.0450159
Garry	0.0449919
Steffi	0.0447158
"John Kim"	0.0447153
Bernie	0.0447083
Ed	0.0446182
Timmy	0.044277
Trevor	0.0442126
Szczerbiak	0.0441457
Alexei	0.0441248
Erik	0.0441187
Neil	0.0440977
matt	0.0440922
Keith	0.0440601
Jonathan	0.043819
bender	0.0437453
Leonard	0.0437226
Danny	0.0437015
Langdon	0.0436248
Steven	0.0436199
Deion	0.043557
Ted	0.04346
Brandon	0.0434571
Tuinei	0.043253
Kirk	0.0431584
Dave	0.0431346
Willie	0.0429448
Ebert	0.0428474
Alan	0.0427401
"Michael Kennedy"	0.0426559
Justin	0.0425675
Gerry	0.0425134
Nate	0.0425001
Luc	0.0423209
Alex	0.0422721
Maldini	0.0421896
Hess	0.0420837
"Chris Simms"	0.0420699
Drew	0.0420615
Barbara	0.0420045
Curtis	0.0419969
Sammy	0.0419136
Carlos	0.0418775
Andy	0.0418392
Rick	0.0417703
Doug	0.0413993
Slade	0.0413833
monty	0.0412549
Whalen	0.0411542
Gus	0.0411421
Clyde	0.0410903
Andrei	0.0410766
Kurt	0.0410164
Freddie	0.0409555
Matthew	0.0409266
Percy	0.0406804
"Bashar Assad"	0.0406645
Woody	0.0405764
Juan	0.0404868
O'Connell	0.040482
Marcus	0.040371
Sean	0.0403618
Callie	0.0403485
"Martin Luther King III"	0.0403463
Wally	0.0402215
Sergio	0.0401855
Walton	0.0400969
Seth	0.0400612
))
("A.J Foyt" (desc 2424.83) (sims
"Bobby Rahal"	0.215485
"Eddie Cheever"	0.193156
"Al Unser Jr."	0.177016
"Arie Luyendyk"	0.168624
"Mario Andretti"	0.16662
Foyt	0.161107
"Richard Petty"	0.143288
"Darrell Waltrip"	0.140439
"Kenny Brack"	0.12525
"Miguel Indurain"	0.117584
"Bob McNair"	0.113901
"Dale Earnhardt"	0.110249
"Joe Gibbs"	0.100801
"Bill Elliott"	0.0999698
"Tom Hicks"	0.0935566
"Blaine Wilson"	0.092337
"Dennis Conner"	0.0921561
"Alberto Tomba"	0.0890408
"Dale Jarrett"	0.0878426
"Juan Montoya"	0.0874396
"Buddy Lazier"	0.0873937
"Alexander Popov"	0.0869278
"John Wooden"	0.08691
"Paul Tergat"	0.0828857
"Frank Stronach"	0.0828839
"Peter Angelos"	0.082726
"Mario Lemieux"	0.0815961
Roush	0.0811085
"Bob Kraft"	0.0804279
"Alex Zanardi"	0.0803099
"Dale Earnhardt Jr."	0.0770393
"Michael Doohan"	0.0766371
"Tony Stewart"	0.0762962
Musashimaru	0.0761671
"Buster Douglas"	0.0748364
"Jimmy Vasser"	0.0742886
Menard	0.0736053
"Jerry Buss"	0.0725287
"Jerry Reinsdorf"	0.0720864
"Al Davis"	0.0719919
"John Henry"	0.0718184
"John McEnroe"	0.0712209
"Johnny Tapia"	0.070957
"Kostya Tszyu"	0.070727
"Linford Christie"	0.0705722
"Ernie Irvan"	0.070447
"Robert Kraft"	0.0698278
"Jeff Gordon"	0.0692382
"Gianni Agnelli"	0.0690568
"Marge Schott"	0.0682803
"Bruton Smith"	0.068131
"Hendrick Motorsports"	0.0681195
"Gunda Niemann-Stirnemann"	0.0679163
"Irina Slutskaya"	0.0678521
"Greg Ray"	0.0677309
"Mike Skinner"	0.067517
"Lucio Tan"	0.0673326
"Jack Nicklaus"	0.0673187
"Terry Labonte"	0.0666313
"George Steinbrenner"	0.0665547
"Jerry Jones"	0.0665388
Wakanohana	0.066501
"Ben Hogan"	0.0664245
"Ricky Rudd"	0.0663479
"Richard Hatch"	0.0654384
"Moses Tanui"	0.0653892
"Scott Goodyear"	0.0651109
"Jim Harrick"	0.0646174
"Roush Racing"	0.0643792
"NBA All-Star"	0.063989
"Nancy Lopez"	0.0639352
"Billie Jean King"	0.0635929
"Sergei Bubka"	0.0634986
"Derrick Adkins"	0.063461
"Katja Seizinger"	0.0632987
"Bobby Orr"	0.0628269
"Billy Boat"	0.0623497
"Deon Hemmings"	0.0619596
"Doug Walker"	0.0618504
"Johan Cruyff"	0.0616482
"Federated Department Stores"	0.0616059
"Michael Andretti"	0.06145
"Tito Puente"	0.061345
"Christine Arron"	0.061307
"Ivan Pedroso"	0.0612761
"Jerry Colangelo"	0.0611451
"Mark Cuban"	0.061068
Lewises	0.0609756
"Jacques Villeneuve"	0.060682
"Gene Autry"	0.0605863
Takanonami	0.0605462
"Ed Roski"	0.0602556
"Karch Kiraly"	0.0600896
"Isiah Thomas"	0.0600818
"Ruud Gullit"	0.059724
"Max Biaggi"	0.0596449
"Paul Allen"	0.0594714
Waltrip	0.0591924
"Boris Becker"	0.0589222
"Red Star"	0.0589176
Takanohana	0.0588235
Rahal	0.058421
"Roy Jones Jr."	0.0582862
"Felix Savon"	0.0582498
"Li Xuemei"	0.0581708
"Fernando Vargas"	0.0574331
"HANK KUEHNE"	0.0573912
"Vin Scully"	0.0572144
"Tony George"	0.0571679
Anees	0.0569599
"Rod Laver"	0.0569047
"Dick Trickle"	0.0568162
"Greg Norman"	0.0565802
"Silvio Berlusconi"	0.0565531
"Zoran Primorac"	0.0564934
"Wayne Gretzky"	0.0564806
"Bobby Charlton"	0.0563775
Bruguera	0.0563151
"Johan Museeuw"	0.0563129
"Jeremy Mayfield"	0.0562324
"Earl Campbell"	0.0561884
"Peter Lynch"	0.0561569
"David Reid"	0.056063
"Herb Kohl"	0.0558074
"Howard Milstein"	0.0557857
"Jeff King"	0.055519
"Kenny Irwin"	0.055467
"Paul Lawrie"	0.0553301
Ganassi	0.0550245
"Rusty Wallace"	0.0549448
"Peter Rasmussen"	0.0546992
"Gannett Co."	0.0546573
"Wang Junxia"	0.0546265
"Adrian Fernandez"	0.0542556
"Bernhard Langer"	0.0536644
"Viacom Inc."	0.0535154
"Leon Hess"	0.0532267
titlists	0.0530776
"Favorite Trick"	0.0528582
"Walter Cronkite"	0.0526302
"Daniel Snyder"	0.0524237
"Lee Janzen"	0.0521933
"Joe Frazier"	0.0521568
"Maria Butyrskaya"	0.0520774
"Jose Maria Olazabal"	0.0520431
"Jubilo Iwata"	0.0518501
"Koji Ito"	0.0518369
"Fatuma Roba"	0.0516798
"Byron Nelson"	0.0516489
"Hearst Corp."	0.0516358
"Steve Elkington"	0.0516203
"Paulie Ayala"	0.0513776
"Vince McMahon"	0.0513414
"John Godina"	0.0513043
"George Foreman"	0.0510152
"Todd Eldredge"	0.0509704
"Damon Hill"	0.0507972
"Bjorn Borg"	0.0507267
"Ken Schrader"	0.0506774
"Pat Rafter"	0.0506758
Summitt	0.0504695
"Martina Navratilova"	0.050214
"Seattle Slew"	0.0501807
Omnicom	0.0501402
"Diego Maradona"	0.0500656
"Elvis Stojko"	0.0499905
"Steffi Graf"	0.0499318
"Thomas Stangassinger"	0.0499027
"Michael Weiss"	0.049878
"Jansher Khan"	0.0498361
"Frank Nobilo"	0.0498173
"Matt Kenseth"	0.0497393
"Kong Linghui"	0.0496231
Doohan	0.0495815
"Steve Jones"	0.0494002
"Franz Beckenbauer"	0.0493236
"Corey Pavin"	0.0492929
"Sergi Bruguera"	0.0492263
"Susi Susanti"	0.0492038
"Scott Sharp"	0.0491458
"Oliver McCall"	0.0489624
"Larry Mize"	0.0487086
"Jackie Joyner-Kersee"	0.0487079
"Guo Jingjing"	0.0485833
"Richard Branson"	0.0485824
"Amy van Dyken"	0.0485461
"New York Yankee"	0.0484183
"Denis Pankratov"	0.0482573
"Laurent Brochard"	0.0481951
Artax	0.048133
"Anatoly Karpov"	0.0479277
"Dalian Wanda"	0.047612
"Grant Hackett"	0.0476067
"Tom Osborne"	0.0471024
Zanardi	0.0471
"Johnny Miller"	0.047072
"Dong Jiong"	0.0469765
Vialli	0.0469707
Pele	0.046769
"John Anderson"	0.046725
))
(A.L. (desc 1169.02) (sims
"AFC West"	0.165092
NL	0.162565
"Central Division"	0.152264
"NFC Central"	0.152213
"American League"	0.147714
"AFC Central"	0.141878
"National League"	0.141386
"Pacific Division"	0.134006
"World Championship"	0.131523
"NFC West"	0.128477
"National League West"	0.127568
AFC	0.12664
"Class AAA"	0.125929
"AFC East"	0.125243
NFC	0.125179
al	0.125093
"Division I-AA"	0.120537
"NL East"	0.117362
"Pan Ams"	0.11684
CWS	0.11589
"Phenix City"	0.115827
"Atlantic Coast Conference"	0.114863
"Western Conference"	0.113076
"AL East"	0.112659
"NFC East"	0.112195
ACC	0.111829
"Eastern Division"	0.110713
"NL Central"	0.110197
"Atlantic Division"	0.110157
Oriole	0.10894
"Big Sky Conference"	0.108609
Pacific-@@	0.107703
"AL Central"	0.106592
"Northeast Division"	0.104854
"Big East"	0.104191
"Southeastern Conference"	0.102846
"American League East"	0.100008
"Western Athletic Conference"	0.0986639
"National League Central"	0.0984601
"major league"	0.0982448
"Big West"	0.0974673
"AL West"	0.0972604
"Funny Car"	0.0965756
"Federation Cup"	0.095079
"International League"	0.0938679
"National League East"	0.093564
Pac-@@	0.0930844
BCS	0.0901199
"Eastern Conference"	0.0896239
"NL West"	0.0892279
"professional baseball"	0.0890925
"first cup"	0.0890346
"two first"	0.0886791
Bundesliga	0.088522
Springbok	0.0876204
"American League West"	0.0872736
"SEC East"	0.0872552
"big league"	0.0861502
AFL	0.0861043
"Big Sky"	0.0854499
"Chinese Olympic"	0.0832198
"Top Fuel"	0.0811361
"National Hockey League"	0.0810988
"Big @@"	0.0809158
"Fed Cup"	0.0798034
varsity	0.0797353
"Conference USA"	0.0796496
"Busch Grand National"	0.0789948
PBA	0.0786526
GP	0.0778077
"Little League World Series"	0.0774525
NAU	0.0771859
Kashima	0.0765512
"College World Series"	0.0764513
"Premier League"	0.0763795
CAA	0.0762945
"European Tour"	0.0745884
under-@@	0.073962
"Solheim Cup"	0.0730608
WAC	0.0724724
"TOMS RIVER"	0.0723177
Iditarod	0.0720377
"South Regional"	0.0705073
"Arena Football League"	0.0699469
AHL	0.0698367
"Opening Day"	0.0696968
"Western Open"	0.0696295
"Division @"	0.0695926
"New York Yankee"	0.0695415
"Italian League"	0.0691131
"Fighting Irish"	0.0690699
distaff	0.0689439
"Pacific Coast League"	0.0685062
Mavs	0.0680022
"second tour"	0.0678908
WCC	0.0677989
"U.S. Olympic"	0.0673868
Uri	0.0667178
two-point	0.0665802
ATP	0.0664916
one-point	0.0664723
"six kilometers"	0.0657977
"Uber Cup"	0.065301
softball	0.0647793
"West Regional"	0.0646294
"Boston Marathon"	0.0644937
"Continental Basketball Association"	0.0644106
"Red Star"	0.0641208
ml	0.0639607
"first nine"	0.0637952
"European Champions Cup"	0.0635297
"Southwest Conference"	0.0634906
AEK	0.0634594
"Texas longhorn"	0.0629543
"Horned Frogs"	0.0628824
Wolfsburg	0.0628361
"NASCAR Winston Cup"	0.0627855
Lobos	0.0626964
"other eight"	0.0612579
"Big Red Machine"	0.061189
Minutemen	0.061162
"Team USA"	0.0611238
"World Junior Championships"	0.0605187
"Grand National"	0.0604484
"Gold Cup"	0.0603154
Knick	0.0603134
pentathlon	0.0602434
"Santa Anita Derby"	0.0599775
"first tour"	0.0597987
nine-point	0.0597498
Royals	0.0591197
"other nine"	0.0585121
gopher	0.0584587
"American Football League"	0.0584384
"ice hockey"	0.0582713
snooker	0.0581742
"League Cup"	0.0580422
"hammer throw"	0.0579237
"American Basketball League"	0.0577761
wallaby	0.0577093
Forty-two	0.0577011
EuroLeague	0.0576793
Ironman	0.0576224
"Bowl Championship Series"	0.0571566
gamecock	0.0571501
"Daytona @@@"	0.0570606
"World League"	0.0569679
"Copa America"	0.0569235
LPGA	0.0566093
C-USA	0.0565944
"water polo"	0.05643
badminton	0.056218
terrapin	0.0561433
Razorback	0.0561317
"Other @@"	0.0555335
"devil ray"	0.0554746
backstroke	0.055404
"U.S. Senior Open"	0.0552541
"Group B."	0.0551511
"Commonwealth Ministerial Action Group"	0.0551227
CBA	0.0551136
Laker	0.0549529
Busch	0.0549142
"regulation time"	0.0548475
"Department of Motor Vehicles"	0.0548405
Seahawk	0.0548334
"Louis Vuitton Cup"	0.0548254
nonconference	0.0547578
Sixteen	0.0546489
"Canadian Open"	0.0546121
"South American"	0.0543058
magpie	0.054184
"MLS Cup"	0.0540749
"Eclipse Award"	0.0538358
Sooners	0.0537868
buckeye	0.0536909
PDI-P	0.0536788
Huskers	0.0536252
RPI	0.0533492
"table tennis"	0.0532261
UNC	0.0532181
UA	0.053171
"Top @"	0.0531498
"ski jumping"	0.0530646
Cavs	0.0530303
"field hockey"	0.0527067
Starzz	0.0525815
"WTA Tour"	0.0523886
"ATP Tour"	0.0522615
tourney	0.0522475
"National Collegiate Athletic Association"	0.0522455
Jayhawks	0.0521217
"Number @"	0.051996
"Chinese Basketball League"	0.0519869
"American Hockey League"	0.0519747
"batting order"	0.0519667
Heredia	0.0519346
Illini	0.0518322
"U.S. Amateur"	0.0518236
"Gold Glove"	0.0516661
))
(a.m. (desc 6177.34) (sims
"local time"	0.141826
"about @:@@"	0.131517
"about @.@@"	0.102542
midnight	0.0951061
noon	0.0846766
"about @@:@@"	0.0846759
EDT	0.078763
EST	0.0767453
GMT	0.0765895
dawn	0.0700946
earliest	0.0687867
"Blair House"	0.0614557
daybreak	0.0604082
"Wedgwood Baptist Church"	0.0592073
pm	0.0581989
"UC Irvine"	0.0548655
reais	0.053541
great-grandchildren	0.0520183
Midday	0.0518075
mid-day	0.0510469
"Pro Bowls"	0.050957
U.	0.0503585
weekday	0.0503527
crewmembers	0.050229
m.	0.0501431
"Kennedy Space Center"	0.0492369
sundown	0.0483026
"All-Star Games"	0.0481944
Stansted	0.0479903
"Heritage High School"	0.0472473
"World Trade Center"	0.0469512
"John F. Kennedy International Airport"	0.0464334
dusk	0.0457646
"Ben-Gurion Airport"	0.0452086
"National Tennis Center"	0.0449742
"Hong Kong International Airport"	0.0446263
"Ryder Cups"	0.0442108
B-@s	0.0434644
"Antara News Agency"	0.0431879
"Melbourne Park"	0.0427269
starts.	0.0425233
"major league season"	0.0423268
takeaways	0.0420735
years.	0.0414532
seasons.	0.0404027
"Centennial Olympic Park"	0.0401355
Astrodome	0.0401242
))
("A.M. Rosenthal" (desc 1626.12) (sims
"Thomas L. Friedman"	0.215989
"Gail Collins"	0.197176
"William Safire"	0.194019
"Bob Herbert"	0.191298
"Anthony Lewis"	0.181008
"Maureen Dowd"	0.165831
"Paul Krugman"	0.150891
"Frank Rich"	0.120043
"staff officer"	0.0663925
"National Commission"	0.0622653
presure	0.0600348
Rudman	0.0589444
"Prince Saud Al-Faisal"	0.0575898
Herbert	0.0561402
"Secretary General Esmat Abdel-Meguid"	0.051033
Ganzouri	0.0459866
"Salim Hoss"	0.0458544
"Joint Military Commission"	0.044346
"E.L Doctorow"	0.0438707
"Elyakim Rubinstein"	0.0437231
"dividend payment"	0.0429639
"Nashville Predators"	0.0420331
"Lebanese Hezbollah"	0.0417535
Folo	0.0410431
"Christiane Amanpour"	0.0409526
"Joint Commission"	0.0406352
))
("A.P Indy" (desc 955.817) (sims
"Seattle Slew"	0.203143
"Old Trieste"	0.158625
"Red Bullet"	0.136563
Behrens	0.119474
Silverbulletday	0.117073
"Silver Charm"	0.113944
"Favorite Trick"	0.111591
"John J. Gotti"	0.111023
"David Sibandze"	0.107963
"Free House"	0.107013
"Running Stag"	0.105761
"Excellent Meeting"	0.10336
Malek	0.102563
vicar	0.102497
cantor	0.09913
"Emperor Akihito"	0.0985914
"Lemon Drop Kid"	0.0979114
Erin	0.0974596
Daylami	0.093077
Artax	0.0922457
serviceman	0.0915253
"foreign service officer"	0.090629
"River Keen"	0.088827
"Desert Hero"	0.0880358
"Robert F. Kennedy"	0.0875775
Ethel	0.0864972
"two pitchers"	0.0840454
"High Yield"	0.082474
Andreychuk	0.08226
Grbac	0.0820831
"War Chant"	0.081635
"Real Quiet"	0.0815529
"Victory Gallop"	0.0797852
"Kent Desormeaux"	0.0797708
"Awesome Again"	0.0793833
"Billy Graham"	0.0791843
"American Revolution"	0.0789737
Zeus	0.0787204
"Skip Away"	0.0787145
Anees	0.0784418
"Ecton Park"	0.0780167
"naval officer"	0.0775147
Trippi	0.077235
sharecropper	0.0769327
"Banshee Breeze"	0.0757805
"Griffith Joyner"	0.075662
"Winning Colors"	0.0751964
"Omar Torrijos"	0.0746068
"James Jones"	0.0744315
"Worldly Manner"	0.0742736
Un-yong	0.0739494
Adonis	0.073733
"Bruce Aven"	0.0734301
"Fusaichi Pegasus"	0.0721226
"Thunder Gulch"	0.071486
"Mario Cuomo"	0.0709268
Menifee	0.0704506
Buford	0.0703799
confederacy	0.0695769
"Charles Lindbergh"	0.0688415
"Puerto Madero"	0.0686346
"Beautiful Pleasure"	0.0683813
"Answer Lively"	0.0666649
"Robert Kennedy"	0.066443
"Edmund Hillary"	0.0664207
Inman	0.0662927
"Kyle Petty"	0.0660055
"Julius Erving"	0.0658654
Tanaka	0.0654326
Colbert	0.0652373
Drummond	0.0651046
bricklayer	0.0649636
RFK	0.064862
Condor	0.0643696
Chilukki	0.06407
"Princess Margaret"	0.0640558
"mail carrier"	0.0640357
"Ung Huot"	0.0625709
prospector	0.0623747
Szabo	0.0623
"Blaine Wilson"	0.0619348
Seizinger	0.0618879
newspaperman	0.0615472
"Oksana Baiul"	0.0614848
pharaoh	0.0613738
tizzy	0.0613442
"Koji Ito"	0.0610515
"Czar Nicholas II"	0.0610287
"Terrence Long"	0.0610188
"Touch Gold"	0.0609729
"Chris Antley"	0.0609013
"Menachem Begin"	0.0608248
"Russian Jews"	0.0607678
seamstress	0.0606462
"Yanic Perreault"	0.0605327
"civil engineer"	0.0604111
"Cat Thief"	0.0603272
"Richard Mandella"	0.0601012
blinker	0.0599568
watchman	0.05991
Larsson	0.0598755
"Cash Run"	0.0598644
Lobos	0.0591463
Clara	0.059104
"Larry Nelson"	0.0586246
"King Juan Carlos"	0.0585484
airball	0.0584932
"Moshood Abiola"	0.0583198
"Tony Dorsett"	0.057907
mailman	0.0578449
Jayasinghe	0.0576407
Morceli	0.0575638
"more than eight"	0.0575497
"Oliver McCall"	0.0574911
"Yancey Thigpen"	0.057435
Montoya	0.0569306
Rucchin	0.056748
Wondertross	0.0567038
Akbar	0.0566539
"Steve Shields"	0.0566208
Bedie	0.0565688
O'Hara	0.0564167
"Shao Yunhuan"	0.056289
"general practitioner"	0.0561999
"dairy farmer"	0.0561684
McEwan	0.0560977
homemaker	0.0560961
Faldo	0.0560284
"Jimy Williams"	0.0559593
"Ziggy Palffy"	0.0557634
Capel	0.0555887
Perec	0.055566
claimer	0.0555325
"Herbert Perry"	0.0554951
EX-COMMUNISTS	0.0554448
"President Kim Young-sam"	0.0552972
"Stephen Got Even"	0.0551493
Jeb	0.0548964
"Francis Ford Coppola"	0.0548811
Squier	0.0547405
"Mike Morgan"	0.0543181
"Van Roost"	0.0541929
Taufik	0.0541901
grindstone	0.0541763
"Al MacInnis"	0.0541557
Stricker	0.0539703
Ochoa	0.0539466
"Mark Brooks"	0.0538915
LASIK	0.0538739
"Ron Brown"	0.0537804
Tait	0.0537163
"Eddie Cheever"	0.0533664
Flockhart	0.0533493
Atler	0.0532952
"Uganda People's Defense Forces"	0.0531864
"Gary Stevens"	0.0531789
Gebrselassie	0.0531396
Gogel	0.0531159
whore	0.0531139
thoroughbred	0.0530705
Sukarno	0.0530679
Yount	0.0527174
Zambrano	0.0526946
electrician	0.0524979
Jagr	0.05233
Diouf	0.0523038
"certified public accountant"	0.0522173
Silas	0.0521
"Dottie Pepper"	0.052036
Kong	0.0519886
Ferdinand	0.0519555
Stumpel	0.0519381
"Dale Earnhardt"	0.0518542
Canseco	0.0518495
O'Hair	0.0517641
Ka-shing	0.0515451
"hotel manager"	0.0515367
Moog	0.0514725
Archie	0.0514659
"Saudi King Fahd"	0.0514654
"John Jr."	0.0514229
Candiotti	0.051356
"Florence Griffith Joyner"	0.0512444
"Earnhardt Jr."	0.0512374
Schroder	0.0510493
Mashburn	0.050899
Levinson	0.0507967
Willard	0.0507671
Ince	0.0507424
nonwhites	0.0506518
"Bashar Assad"	0.0504551
"Hugh Hefner"	0.0503738
"Kim Il Sung"	0.0503163
ruffian	0.0502453
"Phil Simms"	0.0501311
Kai-shek	0.0501138
"Pokey Reese"	0.0499998
Musa	0.0498173
aptitude	0.0497181
Brogna	0.0496352
))
("A.R Baron" (desc 1656.39) (sims
"Quick &AMP; Reilly"	0.189583
"Charles Schwab Corp."	0.13759
"Nomura Securities Co."	0.0982046
AmeriTrade	0.0972758
"Charles Schwab &AMP; Co."	0.0936901
"Morgan Stanley Dean Witter &AMP; Co."	0.0936796
"Bear Stearns"	0.0934645
"Merrill Lynch &AMP; Co."	0.088299
Iran-contra	0.0880323
baron	0.0868583
"Georgia Power"	0.0862984
Schwab	0.086025
PaineWebber	0.0848883
Roberds	0.0815783
All-Tech	0.0807591
"Charles Schwab"	0.0800167
"Merrill Lynch"	0.0795881
ETrade	0.0791937
"Nikko Securities Co."	0.0781436
Merrill	0.0775779
Datek	0.0769157
Clinton-Lewinsky	0.0751222
"Con Ed"	0.0709923
gyro	0.0702305
"savings and loan"	0.0688938
Lilco	0.0686195
peregrine	0.0672759
"penny stock"	0.0658668
ADM	0.0657623
"State Farm"	0.0638435
"Smith Barney"	0.0636874
BofA	0.0632056
Nomura	0.0625834
Piggie	0.0618422
Yamaichi	0.061394
"KCP&AMP;L"	0.0603956
CellPro	0.0594362
"Long-Term Capital"	0.0592424
Silverado	0.0592378
"Bank of New York"	0.0589345
"Niagara Mohawk"	0.0589068
ENTERGY	0.0587079
public-relations	0.0583557
Daiwa	0.0582803
"Food Lion"	0.0580589
Overnite	0.0580231
"Yamaichi Securities Co."	0.0575529
E-Trade	0.0570603
baring	0.0567308
"Morgan Stanley"	0.0564387
Alltel	0.0561843
ExciteAtHome	0.0560873
"Koch Industries"	0.0552051
gyroscope	0.0549913
"Washington Mutual"	0.0544623
"Lipper Inc."	0.0544408
"Bankers Trust"	0.0542179
"HBO &AMP; Co."	0.0541068
SGI	0.054075
Toysmart	0.0538962
"IMS Health"	0.0535963
"Bank Bali"	0.0535327
Netcom	0.0534162
Odwalla	0.0530973
"Goldman Sachs Group"	0.0530111
Loral	0.053008
Stratton	0.0529889
AGL	0.05213
"Southwestern Bell"	0.0517842
chipmunk	0.0517546
Caldor	0.0514943
CitySearch	0.0512601
"Halliburton Co."	0.0509929
Pairgain	0.0503117
Echostar	0.0499722
"more than @.@@ million"	0.049535
Chiquita	0.0493712
Intergraph	0.048949
"Pac Bell"	0.0486041
"Harvard Pilgrim"	0.0481163
Hambrecht	0.0479274
NORTHROP	0.0478726
Toshiba	0.0473982
Allstate	0.0473918
"gas company"	0.0473201
Occidental	0.0472509
Paxson	0.0472344
"securities industry"	0.0471774
Mabetex	0.0471284
Hubbell	0.0469221
Fortier	0.0466342
GPU	0.0465854
"Edward Jones"	0.0463582
small-business	0.0463232
Informix	0.0462923
"Pacific Bell"	0.0459099
"Long-Term Capital Management"	0.0457402
"Waffle House"	0.0456016
"Met Life"	0.0453605
"Burlington Northern"	0.0453558
BankAmerica	0.0453279
"CMGI Inc."	0.0451085
"Southeastern Legal Foundation"	0.0448799
IAI	0.0448248
"Morgan Stanley Dean Witter"	0.0447209
NHS	0.0446626
Airtouch	0.0445962
Humana	0.0445648
"Dean Witter"	0.0445645
"R Block"	0.0444748
"Pitney Bowes"	0.0444126
"Cox Communications"	0.0443295
Starwood	0.0440868
"bighorn sheep"	0.0439236
Caldera	0.043439
theocracy	0.0433921
Trie	0.0433648
Lloyd's	0.0433352
Sotomayor	0.0432342
"Fidelity Investments"	0.0430836
"US West"	0.0429801
"Robertson Stephens"	0.0423619
"Consolidated Edison"	0.0422165
"True North"	0.0422123
Lockheed	0.0421136
SCI	0.0420853
Firestone	0.0415696
SabreTech	0.0415386
Loewen	0.0415376
Sogo	0.041385
"Delta @"	0.0412785
"Harvard Pilgrim Health Care"	0.0412426
"Oracle Corp."	0.0411985
"septic tank"	0.0410261
TCI	0.0409783
"Coca-Cola Enterprises"	0.0409717
"Hyundai Group"	0.0408422
BASF	0.0408328
"Y&AMP;R"	0.0406362
Janus	0.0405788
"Salomon Brothers"	0.0402608
IMS	0.0402283
"first @@@"	0.0402113
Saks	0.0400602
))
(a@ (desc 5756.35) (sims
B@	0.170723
D@	0.162871
"Audi A@"	0.154627
e@	0.148667
Passat	0.127806
C@	0.12582
F@	0.120303
Jetta	0.118108
H@	0.105634
A-@	0.100092
Audi	0.0850847
S@@	0.0766037
V@@	0.0742665
G@	0.0742554
A@@@	0.0709543
Camry	0.0622963
impala	0.0616748
"Ford Focus"	0.0607992
midsize	0.0607783
Skoda	0.0602581
DeVille	0.05966
M@	0.0560883
"bond rating"	0.0551504
V-@@	0.0541624
mpg	0.053254
Taurus	0.0525246
se	0.0519586
Acura	0.0514269
M@@	0.0511212
Citroen	0.0499968
VW	0.0497972
"Ford Taurus"	0.0492426
Saab	0.0488621
Maxima	0.0487964
A-@@	0.0483406
Lexus	0.0471048
subcompact	0.0463137
Mercedes-Benz	0.0458614
"Mercedes Benz"	0.0450821
torque	0.0448395
Prius	0.0447551
A@@@-@@@	0.0444348
"Toyota Corolla"	0.0439647
"credit rating"	0.0434497
second-grade	0.0432257
Buick	0.0431084
"Airbus A@@@"	0.0423506
"New Beetle"	0.0419166
"Palm III"	0.0418879
Saturn	0.0416647
V-@	0.0412336
"miles per gallon"	0.0408473
Mercedes	0.0408136
hatchback	0.0406125
AWACS	0.0405803
octane	0.0405407
))
(A@@@ (desc 5600.91) (sims
A@@@-@@@	0.307103
"Airbus A@@@"	0.279128
A@@@s	0.266081
A@XX	0.234737
MD-@@	0.230239
A-@@@	0.209845
DC-@@	0.16822
C-@@	0.167367
"Airbus @@@"	0.159815
TU-@@@	0.159263
turboprop	0.153772
"Cessna @@@"	0.145978
DC-@	0.14174
MiG-@@	0.140792
F-@@	0.136208
AN-@@	0.135472
Airbus	0.134453
widebody	0.130673
Prowler	0.128379
jetliner	0.127969
AWACS	0.125683
C-@	0.125268
Il-@@	0.122217
Concorde	0.116389
Cessna	0.114619
Boeing	0.114159
MD	0.112951
SU-@@	0.110729
aircraft	0.10496
double-decker	0.104529
P-@	0.102882
Harrier	0.100963
"Stage @"	0.0976551
F-@@@	0.0971543
"electronic warfare"	0.0957665
"Pan Am"	0.0956771
osprey	0.0955598
airliner	0.0929406
C-@@@	0.0928716
"Air France Concorde"	0.0926567
F-@@s	0.0925529
"Indian Airlines"	0.0919598
USAir	0.0913824
Embraer	0.0893719
"McDonnell Douglas"	0.0887187
two-seater	0.088263
X-@@	0.0876914
glider	0.0869256
Hercules	0.0867975
"Palm III"	0.0844711
Mig	0.0837762
reconnaissance	0.082982
"Thai Airways"	0.0819797
T-@@	0.0810133
MD-@@s	0.0808022
"China Airlines"	0.0797438
Iberia	0.0792628
"Korean Air"	0.0789125
"Alaska Airlines"	0.0787537
"fighter aircraft"	0.0780796
F-@	0.077647
airplane	0.0773501
warthog	0.0769271
KLM	0.0768502
"New Beetle"	0.0767475
Orion	0.0762145
B-@	0.0759544
stealth	0.0753702
Sabena	0.0744932
A-@@	0.0743925
B-@@	0.0738655
Aeroflot	0.0735113
MiG-@@s	0.0733255
bomber	0.0728048
a@	0.0709543
"Kenya Airways"	0.0706485
RAF	0.0706463
Concordes	0.0706462
Garuda	0.069978
Swissair	0.0699583
Passat	0.0697922
"Flight @@@"	0.0697159
EgyptAir	0.0692116
"Gulf Air"	0.0691134
S@@	0.068954
B-@s	0.0676777
frigate	0.0675058
"Pentium III"	0.0667531
C-@@@J	0.0666195
"Turkish Airlines"	0.0665871
"Ethiopian Airlines"	0.0664494
"Trans World Airlines"	0.066042
TWA	0.0653549
"Air India"	0.0637346
Airlines	0.0634913
Comair	0.0632523
interceptor	0.0629574
"Jeep Grand Cherokee"	0.0621595
Rolls-Royce	0.0614946
"Airbus Industrie"	0.0614639
"spy satellite"	0.0608763
Gulfstream	0.0608717
"ground attack"	0.0607651
"patrol boat"	0.060693
"China Southern Airlines"	0.0606739
tomcat	0.0605677
impala	0.0603086
Alero	0.0596036
tanker	0.0592546
"U.S. Air Force"	0.0591514
gunship	0.0589019
warplane	0.0585571
"compact car"	0.0582682
"surface ship"	0.0580603
transponder	0.057879
"up to six"	0.0576059
"Delta @"	0.0570266
"El Al"	0.0570087
"communications satellite"	0.0559968
"Air France"	0.0559219
"America West"	0.0559171
A-@	0.0558784
Mirage	0.0555355
"Cy Young Awards"	0.0553897
"Royal Air Force"	0.0552362
"Indian Air Force"	0.0550838
warship	0.0550582
thunderbolt	0.0550324
fighter-bombers	0.0550115
JAT	0.0548379
"Joint Strike Fighter"	0.0547099
"booster rocket"	0.0547083
drone	0.0545832
"Eastern Airlines"	0.0544361
piper	0.0543274
"jet engine"	0.0542468
Alitalia	0.054203
F@@	0.0541032
ValuJet	0.0538085
IAF	0.0537773
V@@	0.0534936
"aircraft carrier"	0.0533304
"Air Lanka"	0.0532071
oilseed	0.053139
"first @@@"	0.052866
SUV	0.0524915
"container ship"	0.0522913
iMac	0.052167
howitzer	0.0519788
hovercraft	0.051824
"mainframe computer"	0.0518135
speedboat	0.0517679
"electric car"	0.0516445
"weapons system"	0.0516119
"Wild Party"	0.0515884
Jetta	0.0512677
"space probe"	0.0511264
"Air China"	0.0509579
McDonnell	0.0507974
DV	0.0507746
"TWA Flight @@@"	0.0506337
airship	0.0506046
blimp	0.0505642
"surface-to-air missile"	0.050486
"Cathay Pacific"	0.0504767
iMacs	0.050455
"UNIX operating system"	0.0501393
S-@@@	0.0499182
auto	0.0495765
"American plane"	0.0491835
"Continental Airlines"	0.04918
"Air Canada"	0.0491003
airforce	0.0490286
sport-utility	0.0486434
Lufthansa	0.0486415
duster	0.0484714
"passenger car"	0.0484041
"Mac OS"	0.0482778
"Northwest Airlines"	0.0482051
ECN	0.0481034
crewmembers	0.0480762
propeller	0.0480593
"Peony Pavilion"	0.0478749
"Japan Airlines"	0.0477918
"passenger ship"	0.0477745
"patrol ship"	0.0477251
"Windows @@@@"	0.0475532
"ballistic missile"	0.0475494
"motor vehicle"	0.0474617
locomotive	0.0472763
AIRTRAN	0.0472399
"nuclear-powered submarine"	0.0471328
"Vietnam Airlines"	0.0471037
DC-@s	0.0468964
Apache	0.0468687
Biman	0.046805
"aircraft engine"	0.046653
"oil tanker"	0.0466214
DeVille	0.0465272
"hot-air balloon"	0.0465179
))
(A@@@-@@@ (desc 2669.98) (sims
"Airbus A@@@"	0.315547
A@@@	0.307103
A-@@@	0.283868
DC-@@	0.261613
"Airbus @@@"	0.249796
MD-@@	0.234275
DC-@	0.225775
TU-@@@	0.204356
"Air France Concorde"	0.203691
C-@@	0.20098
MiG-@@	0.179091
turboprop	0.176016
widebody	0.172568
A@@@s	0.164913
AWACS	0.160875
SU-@@	0.159245
double-decker	0.154239
AN-@@	0.151981
C-@@@	0.15147
"electronic warfare"	0.149307
F-@	0.147468
Il-@@	0.143754
C-@	0.142417
"Cessna @@@"	0.141794
Harrier	0.139877
osprey	0.138034
Concorde	0.137885
USAir	0.133826
Cessna	0.12992
jetliner	0.129291
A@XX	0.129063
"Indian Airlines"	0.126714
F-@@	0.126479
Airbus	0.124125
P-@	0.121745
Prowler	0.120534
B-@s	0.116128
airliner	0.114942
EgyptAir	0.114113
Learjet	0.113456
"Kenya Airways"	0.113147
Boeing	0.111996
T-@@	0.111574
"Gulf Air"	0.111498
F-@@s	0.110676
"Turkish Airlines"	0.110598
MD	0.110076
F-@@@	0.109954
Mig	0.109577
warthog	0.108054
Hercules	0.105039
Concordes	0.103808
"Alaska Airlines"	0.103426
"Pan Am"	0.103075
"Ethiopian Airlines"	0.101287
"Korean Air"	0.101202
"Thai Airways"	0.100951
"ground attack"	0.100712
Airlines	0.0978542
A-@@	0.0975879
"fighter aircraft"	0.0968688
"U.S. Air Force"	0.0952416
"China Airlines"	0.0952089
"container ship"	0.0952032
two-seater	0.0946979
"Indian Air Force"	0.0945554
B-@	0.0943028
"Stage @"	0.0927941
"Alaska Airlines Flight @@@"	0.0925105
reconnaissance	0.0922437
Iberia	0.0909913
glider	0.0906981
Aeroflot	0.0904194
"Royal Air Force"	0.0902596
Apache	0.0890514
Swissair	0.088974
C-@@@J	0.0874498
biplane	0.0872771
"China Southern Airlines"	0.0861656
"TWA Flight @@@"	0.0854916
"nuclear-powered submarine"	0.0846351
tomcat	0.0844038
gunship	0.0840593
X-@@	0.0834428
ValuJet	0.0832628
"McDonnell Douglas"	0.0820359
"surface ship"	0.0820131
"American plane"	0.0820073
airforce	0.0818037
"cargo vessel"	0.0816348
"Palm III"	0.0809929
tanker	0.0802458
"Flight @@@"	0.0802261
"passenger ship"	0.0798205
bomber	0.079232
"Swissair Flight @@@"	0.0790385
"Flight @@@@"	0.0780855
"Air India"	0.0779084
IAF	0.0774943
Garuda	0.0769799
TWA	0.0768278
"jet plane"	0.0767738
MiG-@@s	0.0766746
Comair	0.0765806
Orion	0.0759927
"Southwest Airlines"	0.0752606
"booster rocket"	0.0743563
S@@	0.0743168
icebreaker	0.0740217
RAF	0.0730846
"EgyptAir Flight @@@"	0.0730829
"Cathay Pacific"	0.0729451
S-@@@	0.0727154
F@@	0.0726704
B-@@	0.0726579
MD-@@s	0.0722039
drone	0.0713734
frigate	0.0712439
McDonnell	0.0707611
"oil tanker"	0.0707488
chinook	0.0704818
"El Al"	0.0704191
"up to six"	0.0699812
"aircraft carrier"	0.069557
"spy satellite"	0.069398
piper	0.0693207
"hot-air balloon"	0.0690399
"Vietnam Airlines"	0.0689426
stealth	0.0681944
freighter	0.0679704
DC-@s	0.0677382
Embraer	0.0676533
warplane	0.0672342
Mirage	0.0667663
"American Airlines"	0.0667321
"Air France"	0.0664295
"Virgin Atlantic"	0.0663468
A-@	0.0657151
"Air China"	0.0655864
Sabena	0.0654376
warship	0.0654039
thunderbolt	0.064297
"Japan Airlines"	0.0636434
impala	0.0634339
Passat	0.0627791
"Northwest Airlines"	0.0625603
KLM	0.062263
"Delta @"	0.0621734
hovercraft	0.0614151
speedboat	0.0610607
"USS Enterprise"	0.0606886
"express train"	0.0601364
"Trans World Airlines"	0.0600931
DV	0.059947
Fedex	0.0594057
"Air Lanka"	0.0591833
"blue angel"	0.0590733
"Air Canada"	0.0588052
JAT	0.0587692
V@@	0.0587641
MiGs	0.0584472
"communications satellite"	0.0582492
duster	0.0578125
"Continental Airlines"	0.057057
fighter-bombers	0.0569572
Gulfstream	0.0567148
blimp	0.0562488
Apaches	0.0560317
"British Airways"	0.0557993
BMWs	0.0557033
"bus company"	0.0552572
"intercontinental ballistic missile"	0.054984
Mini-bus	0.0544804
"United Airlines"	0.0544316
"landing craft"	0.0543752
"Philippine Airlines"	0.0543722
gunboat	0.0542906
"patrol boat"	0.0541532
squadron	0.0540258
"domestic flight"	0.0537517
Qantas	0.0537332
interceptor	0.053702
"Airbus Industrie"	0.053699
Bentley	0.053059
"China Eastern Airlines"	0.0529375
chopper	0.0527862
"Singapore Airlines"	0.0526448
adenovirus	0.052607
"South African Airways"	0.0524896
DeVille	0.0521783
destroyer	0.0517836
"U.S. Navy"	0.0516461
"gambling casino"	0.0515509
"international flight"	0.0514517
Kazakh	0.0510619
"Eastern Airlines"	0.0509832
"patrol ship"	0.0509259
midrange	0.0506986
airship	0.050502
"Canadian Airlines"	0.0500619
))
(A@@@@ (desc 3534.42) (sims
Schlumberger	0.0606555
"Wireless Optus"	0.0584582
"Wireless HKT"	0.0575021
NTL	0.0553504
toenail	0.0528252
"Tele-Communications Inc."	0.0527109
"Cox Communications"	0.0494854
ZDTV	0.0486325
"Weather Information"	0.0483212
Pippig	0.0475455
"MediaOne Group"	0.0474399
weightings	0.0471633
"dollar amount"	0.0457751
"Comcast Corp."	0.0440725
bargainer	0.0431055
"FTSE @@@"	0.0429961
"funds rate"	0.0422568
EarthLink	0.0413544
ld	0.0412595
Ruehe	0.0411627
Yew	0.0403669
Baumann	0.040321
))
(A@@@s (desc 2466.9) (sims
A@@@	0.266081
B-@s	0.209202
A@@@-@@@	0.164913
"Airbus A@@@"	0.154671
MD-@@s	0.137973
crewmembers	0.127131
"All-Star Games"	0.118315
DC-@s	0.116626
F-@@s	0.115055
MiG-@@s	0.113904
starts.	0.108753
great-grandchildren	0.102114
"extra points"	0.0971895
spacewalks	0.0949197
takeaways	0.0941106
QBs	0.0924827
"British Opens"	0.0917309
MiGs	0.0909658
Dutchmen	0.0901467
Concordes	0.0896477
"container ship"	0.0878385
"Pro Bowls"	0.087563
"major-league team"	0.084324
"Ryder Cups"	0.0816563
sub-projects	0.0814381
no-decisions	0.0810587
years.	0.0808296
"Final Fours"	0.0806794
skyboxes	0.0795552
"power unit"	0.0791952
baserunners	0.0781546
"fire engine"	0.076806
postseasons	0.0765435
crewmates	0.0760041
Apaches	0.0751469
"major league season"	0.0751384
mushers	0.074516
locomotive	0.074322
"unearned run"	0.0739651
A-@@@	0.073882
"World Cups"	0.0725165
"railroad car"	0.0724829
runnings	0.072065
"foul shot"	0.0719243
jetliner	0.0717794
minibuses	0.0713245
"No. @s"	0.0712826
innings.	0.0706746
bogy	0.070414
quarterfinalists	0.0704036
games.	0.0703636
All-Americans	0.0701649
internationals	0.069913
Furbys	0.0692382
"flight of stairs"	0.0688311
"Rolls-Royce Motor Cars"	0.0686416
frigate	0.0685057
tranches	0.0684937
"Baby Bells"	0.0684905
sherpas	0.0684285
trainload	0.0680424
seasons.	0.0677602
tractor-trailers	0.0675286
ex-convicts	0.0674216
"patrol boat"	0.0671289
"international flight"	0.0670453
"day of rest"	0.0670153
"Gold Gloves"	0.0668859
"spy satellite"	0.0667857
vote-getters	0.066564
"nonstop flight"	0.066538
Picassos	0.0661983
"Cy Young Awards"	0.065949
"fighter aircraft"	0.065803
Stealers	0.0648197
Chevys	0.064638
gyroscope	0.0644344
wideouts	0.0643303
"weather satellite"	0.0641177
"Airbus @@@"	0.064097
"break of serve"	0.0640588
"railway car"	0.0638002
"place setting"	0.0633262
TDs	0.0630207
"patrol ship"	0.0624838
airmen	0.0623316
"base runner"	0.0623027
"parcel of land"	0.0621269
"aircraft part"	0.0620142
"Palm III"	0.0615375
"earned run"	0.0613458
transponder	0.0612811
"coat of paint"	0.0610014
deuce	0.0607768
Humvees	0.0602173
fighter-bombers	0.0601772
Ferraris	0.0600118
ESCALADE	0.059842
DeVille	0.0598192
subwoofer	0.0595886
warship	0.0594189
SEZs	0.0593022
"train ticket"	0.0590976
"House Democrats"	0.0590653
par-@s	0.0583688
"bus route"	0.0580512
"drilling rig"	0.0580291
"running play"	0.057991
"Pulitzer Prizes"	0.0573874
reactor	0.0573578
S-@@@	0.0572925
"service break"	0.0569004
"fire truck"	0.0565001
chairlift	0.0560539
"Land Cruiser"	0.0555663
minicamps	0.0554636
hundredth	0.0551046
S@@	0.0550006
crewmen	0.0548512
firsts	0.0546196
guardsmen	0.0541006
upperclassmen	0.0540078
BMWs	0.0539097
minesweeper	0.053752
Klansmen	0.0536508
"aircraft carrier"	0.0535009
state-level	0.053448
"freight car"	0.0532625
supercomputers	0.0532286
"Texas Democrats"	0.0530987
faceoffs	0.0530793
turboprop	0.0530348
hostage-takers	0.0529822
abstention	0.0529112
Opens	0.0528104
"congressional district"	0.052798
"Emmy Awards"	0.0527313
"Super Bowls"	0.0526325
afterburner	0.0524398
co-chairs	0.052391
"season ticket"	0.0522489
"seeded player"	0.0521951
Grammys	0.0521528
"test match"	0.052053
"express train"	0.0519803
overs	0.0519606
"space walk"	0.0517347
"common shares"	0.0516994
firewalls	0.0516588
MD-@@	0.0515109
signees	0.0514735
A@XX	0.0513967
"production line"	0.0512655
"over .@@@"	0.0510639
"small boat"	0.0508762
hovercraft	0.0508706
yearling	0.050823
"residence hall"	0.05078
"work group"	0.0507297
Pontiacs	0.0506086
instalment	0.0505572
"Canadian province"	0.0504388
Frenchmen	0.0503727
"round-trip ticket"	0.0503307
"media property"	0.0501735
Nepalese	0.0500767
Pillars	0.0500147
inductees	0.0497863
wicket	0.0497667
"trunk line"	0.0497385
"word of advice"	0.0497059
"road game"	0.0496447
examinees	0.0496202
"U.S. Opens"	0.0494127
co-owners	0.049273
governorates	0.0490213
"great year"	0.0489376
Trey	0.0489257
tanker	0.0488084
yea	0.048791
converter	0.0487758
"oil tanker"	0.0487675
zloty	0.0486933
busload	0.0486482
"election district"	0.0485905
"city block"	0.048477
"polling booth"	0.048288
turbot	0.0482443
"three pitchers"	0.0480759
detainee	0.0480129
"area code"	0.0479966
impala	0.0479306
"communications satellite"	0.0478847
destroyer	0.047832
"dead body"	0.0477422
"minor-league team"	0.0476054
"robbery suspect"	0.0476036
gunship	0.0474671
shredder	0.0474487
"Special Economic Zones"	0.0472406
))
(A@XX (desc 2872.04) (sims
A@@@	0.234737
"Airbus A@@@"	0.150042
"Airbus @@@"	0.138232
MD-@@	0.134091
C-@@	0.132746
A@@@-@@@	0.129063
A-@@@	0.125494
"National Missile Defense"	0.108469
Il-@@	0.108144
C-@@@J	0.104877
DC-@	0.103242
"bond offering"	0.101478
TU-@@@	0.0981073
Prowler	0.0971215
"Delta @"	0.0964305
X-@@	0.0960925
P-@	0.0950691
widebody	0.0933857
"Multimedia Super Corridor"	0.0910491
"Stage @"	0.0909754
MiG-@@	0.0909079
"Cessna @@@"	0.0903992
"particle accelerator"	0.0898321
DC-@@	0.0892512
"ground attack"	0.0886095
two-seater	0.0873864
Airbus	0.0861496
F-@@	0.0842989
turboprop	0.0839538
MD	0.0839409
AN-@@	0.0828275
C-@	0.0826727
double-decker	0.0800921
Mig	0.0791157
"Indian Airlines"	0.0789414
"Super League"	0.0787007
"nuclear-powered submarine"	0.0757545
"Korean Air"	0.0756851
"Thai Airways"	0.0753424
"Marshall Plan"	0.0747033
C-@@@	0.0737277
"New Beetle"	0.0733029
ADP	0.0725254
Orion	0.0723436
"Kenya Airways"	0.0717475
NMD	0.071579
"Vietnam Airlines"	0.0712412
Aeroflot	0.0712325
jetliner	0.0711181
hovercraft	0.0707688
Cyberjaya	0.0707538
Harrier	0.0704666
"Office @@@@"	0.0695705
"communications satellite"	0.069308
"wind power"	0.0683859
"electronic warfare"	0.0681012
SU-@@	0.068031
USAir	0.0675886
Supercenters	0.0672442
"Pan Am"	0.0670045
"International Space Station"	0.0669547
"China Airlines"	0.0667865
"Air France Concorde"	0.0665168
AWACS	0.0661308
collider	0.0660071
"bond issue"	0.0658255
IAF	0.0656385
Concorde	0.0655688
heliport	0.0654231
T-@@	0.0650999
"Alaska Airlines"	0.0645952
Zvezda	0.0641795
"Playstation II"	0.0640108
osprey	0.0638398
"ad blitz"	0.0636618
"Air India"	0.0633375
F-@@s	0.0633343
smelter	0.0632368
Comair	0.063056
"compact car"	0.0629595
"African Union"	0.0628479
Airlines	0.0627315
"Turkish Airlines"	0.0627154
Passat	0.0626652
Godot	0.0625013
KLM	0.062096
"Free Trade Area"	0.0618227
"booster rocket"	0.0615996
interceptor	0.0615359
"jet engine"	0.0607257
A-@@	0.0606081
Hercules	0.0604539
"Ethiopian Airlines"	0.0600149
Athlon	0.0598989
abacus	0.0591228
"software product"	0.0582842
"credit system"	0.058176
"Indian Air Force"	0.0581694
e-BOOKS	0.0581586
"water project"	0.0576122
MSC	0.0575913
LNG	0.0575081
Gulfstream	0.0571745
"highway system"	0.0568961
Tomahawk	0.0567659
"defense system"	0.056602
"Gorges Project"	0.056338
SDH	0.0562186
Ozaki	0.0560367
"McDonnell Douglas"	0.0559684
"Tyrannosaurus rex"	0.0559674
Embraer	0.0559314
EPZs	0.0559123
"oil tanker"	0.0558086
"weapons system"	0.0557965
B-@	0.0557858
"ping-pong ball"	0.0556679
F-@@@	0.0556636
McDonnell	0.0556534
"Gorges Dam"	0.0556504
"Wild Party"	0.0554284
warthog	0.0554232
"atomic bomb"	0.0553145
"Eastern Airlines"	0.0552953
Swissair	0.0552866
"Joint Strike Fighter"	0.0552324
"trunk line"	0.0552204
"railway system"	0.0552026
B-@s	0.0548191
"Palm III"	0.0546452
A-@	0.0545398
"debt market"	0.0544709
ECN	0.0544018
"application program"	0.054122
ADSL	0.054067
Silverado	0.0537795
FTA	0.0536973
"job cut"	0.0536613
airship	0.0536392
CFCs	0.0533049
Epogen	0.0532142
"coal gas"	0.0530992
S-@@@	0.0530343
"spy satellite"	0.0528923
"chain store"	0.052876
"incentive program"	0.0528157
"mainframe computer"	0.0527618
Sacagawea	0.0526575
"degree program"	0.0523937
"football stadium"	0.0523675
TMD	0.0523649
"liquefied petroleum gas"	0.0523182
"electronic equipment"	0.0522837
SUV	0.052261
"missile defense system"	0.0521363
EgyptAir	0.0519818
"weapon system"	0.0519728
"Flight @@@"	0.0519666
"space vehicle"	0.0519575
"Agenda @@@@"	0.0518438
"neutron bomb"	0.0517785
"loaf of bread"	0.0516894
"Go Network"	0.0516398
Garuda	0.0516031
drone	0.0515966
"reserve fund"	0.0514463
supercomputer	0.0514362
A@@@s	0.0513967
"Pentium III"	0.0513589
"Windows Media Player"	0.0513327
"Windows @@@@"	0.0513018
"optical fiber"	0.0512662
Walkman	0.051207
hydropower	0.0511926
Buick	0.0510916
F@@	0.0510746
"Japan Airlines"	0.0510368
"telephone network"	0.0509806
"Self-Defense Forces"	0.0508984
airliner	0.0508169
"Royal Air Force"	0.0507833
"industrial park"	0.0507447
"weather satellite"	0.0507304
"Economic and Monetary Union"	0.0506708
buyback	0.0506035
Fedex	0.0504845
"target area"	0.0503714
homepage	0.0502839
prototype	0.0502272
EPZ	0.0501905
"Peace Corps"	0.0501435
"UNIX operating system"	0.0500304
F-@	0.0500255
"monitoring program"	0.0497737
"blue angel"	0.0497053
warplane	0.0497033
yacht	0.0496357
dollarization	0.0495435
hemoglobin	0.0495349
Zeb	0.0495251
))
(AA (desc 4220.66) (sims
AAA	0.135067
JMC	0.0850103
CSC	0.079549
"Airport Authority"	0.074936
TDB	0.0740932
FOMC	0.0725548
CCC	0.0677694
PB	0.0673675
DSE	0.0670459
CMAG	0.0663036
PATA	0.064967
NCEC	0.0647318
WEF	0.0636919
"Alcoholics Anonymous"	0.0636341
MPAA	0.0629811
AHA	0.0622804
lithium	0.0620491
UNAMET	0.0613552
NSC	0.0610641
"Consumer Reports"	0.0602099
"Commerce Ministry"	0.060047
SA-@	0.0599121
Wada	0.059707
PCC	0.0590835
CEC	0.0588587
CSE	0.058763
CDB	0.0576711
HKFA	0.056687
"planning commission"	0.055513
AB	0.0550484
"Air Lanka"	0.0548514
"Justice Ministry"	0.0542126
ADL	0.0541672
"Thai Foreign Ministry"	0.0535743
ITU	0.0533145
FSA	0.053053
Telkom	0.0529098
CMA	0.0524388
SSE	0.0521282
"Port Authority"	0.0517267
MTA	0.0514537
CWC	0.0510162
NEA	0.0504537
BB	0.0501984
PBOC	0.0500647
KONI	0.0500116
CNTA	0.0499717
WIPO	0.0498598
ACB	0.0494676
"Supreme Council"	0.0493489
Mensa	0.0492921
IPU	0.0492663
"Self-Defense Forces"	0.0490736
CAS	0.0489904
LIFFE	0.0486008
"Hong Kong Trade Development Council"	0.0485113
EPR	0.0484276
"National Thoroughbred Racing Association"	0.048324
"Screen Actors Guild"	0.0483152
UPU	0.048293
PNC	0.0482545
"six to eight"	0.0481054
KPU	0.0480074
"Malaysia Airlines"	0.0479954
CCPIT	0.0478291
Dragonair	0.0478124
NCI	0.0476804
ESCAP	0.0476756
"Chinese Foreign Ministry"	0.0474821
"Ministry of Education"	0.0473907
IAF	0.0473054
Paxson	0.0471855
"Electoral Commission"	0.0466712
SEPA	0.0466358
"PLO Executive Committee"	0.0466043
ITF	0.0465598
"League of Conservation Voters"	0.0465504
HKMA	0.0460653
IEA	0.0459926
"Ministry of Forestry"	0.0458969
ECA	0.0456144
"British Foreign Office"	0.0454939
WEU	0.0454468
SFC	0.045301
BOI	0.0452502
"point system"	0.0452387
"Israeli Cabinet"	0.0450802
"Home Ministry"	0.0450794
CSA	0.0450412
Shu	0.0449778
"Rules Committee"	0.0449552
EA	0.0449237
UTC	0.0447683
OECD	0.0446804
"Israeli Foreign Ministry"	0.0446792
"Ministry of Water Resources"	0.0446745
AEC	0.0446311
DLC	0.0443638
Morningstar	0.0443273
IDB	0.0442025
AMC	0.0441765
"Criminal Investigation Department"	0.0440818
UNDP	0.0440577
UNIDO	0.0439547
OCA	0.0439293
DAP	0.0438689
TVM	0.0438056
Litton	0.0437471
"Ministry of Justice"	0.0437314
BOC	0.0435728
"Ford Motor Company"	0.0434461
RIAA	0.0434331
FEMA	0.0433774
ILO	0.0433586
ADB	0.0433125
"Golden Globe"	0.0433052
guild	0.0432989
"NZ First"	0.0432782
"Ministry of Health"	0.0430635
Prius	0.0429521
CIRC	0.0429323
"Ethiopian Airlines"	0.0428008
NIH	0.0425546
UNEP	0.042454
Bund	0.0424013
"Chinese Olympic Committee"	0.0423936
VFW	0.0423743
"State Seismological Bureau"	0.0422942
Comelec	0.0421241
USOC	0.0420749
JAL	0.0420171
Ivoire	0.0419818
INEC	0.0418855
SPF	0.0418641
WFP	0.0417283
USAID	0.0416126
BNFL	0.0415151
"Industry Ministry"	0.041442
NDF	0.0413488
"Promise Keepers"	0.041343
"State Education Commission"	0.0412648
ICRC	0.0412454
Spyglass	0.0412059
"Damascus Declaration"	0.0410998
"French Foreign Ministry"	0.0410643
"Ministry of Foreign Trade and Economic Cooperation"	0.0409224
"brain stem"	0.0408765
ATC	0.0406553
NLRB	0.0406306
CNOOC	0.0406014
ATA	0.0405795
"solar power"	0.0405536
"Iranian Foreign Ministry"	0.0405185
Asia-Europe	0.0404735
ICA	0.0403697
eco	0.0403101
NCR	0.0402317
NLD	0.040212
USTA	0.0401758
CalPERS	0.040167
KLM	0.0400876
NTSB	0.0400863
"Ministry of Civil Affairs"	0.0400224
))
(AAA (desc 4695.01) (sims
AA	0.135067
"Handgun Control"	0.113926
CAA	0.107024
"Air Transport Association"	0.104087
SSB	0.101006
"Department of Public Safety"	0.0949456
"American Association of Health Plans"	0.0941715
Forrester	0.091796
"American Cancer Society"	0.0917846
"Business Council"	0.0910512
"National Education Association"	0.0907958
"Class AAA"	0.0887994
"Health Department"	0.0886414
"Conference Board"	0.0882973
"Texas Department of Public Safety"	0.0879585
"American Petroleum Institute"	0.0852212
"Social Security Administration"	0.0850358
"Sierra Club"	0.0849738
DEP	0.0843424
CBO	0.0843052
"College Board"	0.0842727
AARP	0.0842648
"National Highway Traffic Safety Administration"	0.0841504
"Log Cabin Republicans"	0.0841463
"Consumers Union"	0.0835096
Greenpeace	0.0835032
"Securities Industry Association"	0.0834609
"American Bankers Association"	0.0831253
"U.S. Census Bureau"	0.0827249
"Education Department"	0.0823574
CDC	0.0815163
"Census Bureau"	0.0809551
"Amnesty International"	0.0799851
Zagat	0.0798873
Gartner	0.0788132
"Family Research Council"	0.0784881
"U.S. Immigration and Naturalization Service"	0.0783913
"Department of Education"	0.0772466
"Wine Institute"	0.076154
"Labor Ministry"	0.0756639
"American Heart Association"	0.0755133
IDC	0.0754829
"Airport Authority"	0.0747129
"Transportation Department"	0.074313
IEA	0.073813
"Human Rights Campaign"	0.07352
SDPC	0.0730202
"American Association of Retired Persons"	0.0725188
"Health and Human Services Department"	0.0719761
"Department of Health"	0.0713999
"U.S. Agriculture Department"	0.0713137
"Handgun Control Inc."	0.0711103
"Department of Transportation"	0.0709873
"Fish and Wildlife Service"	0.0708795
OECD	0.0707233
"Department of Corrections"	0.0703349
"American Hockey League"	0.0701166
"Motion Picture Association of America"	0.0699075
UNAIDS	0.0698599
"Department of Agriculture"	0.0695752
AFL-CIO	0.0695665
"International League"	0.0694297
EPA	0.069307
"French Foreign Ministry"	0.0689205
"Communications Workers of America"	0.0687051
"National Republican Congressional Committee"	0.0686372
ISTAT	0.0684647
"US State Department"	0.0678994
"Con Edison"	0.0677758
"Department of Environmental Protection"	0.0673719
Hynes	0.0672269
NHTSA	0.0670056
Moody's	0.0667409
"Federal Aviation Administration"	0.066575
USDA	0.0665056
CPSC	0.0664145
HKMA	0.0664145
OSHA	0.0663464
"National Council of La Raza"	0.0659305
TrustE	0.0658627
"Board of Elections"	0.0658329
"Department of Commerce"	0.0653612
lastest	0.0651954
"Anti-Defamation League"	0.064745
"U.S. Forest Service"	0.064135
"American Legion"	0.0639656
"Bill Lockyer"	0.0639197
"Yankee Group"	0.0638717
McFadden	0.0638037
Oxfam	0.0636216
"Recording Industry Association of America"	0.063344
C-USA	0.0632445
CBI	0.0631946
"Labor Department"	0.0630125
AHL	0.0628924
"Democratic Congressional Campaign Committee"	0.0627322
EOHR	0.0624615
HHS	0.0624615
"World Vision"	0.0624583
"British Foreign Office"	0.0623574
"Congressional Budget Office"	0.0621595
ACLU	0.0621153
"Agriculture Ministry"	0.0619857
Rylander	0.0619713
"American Red Cross"	0.0619109
Nielsen	0.0613082
Wyeth-Ayerst	0.0610585
"Park Service"	0.0609522
TDC	0.0607902
"Gartner Group"	0.0606715
"Cuban American National Foundation"	0.0601524
Tankan	0.0601494
"Iranian Foreign Ministry"	0.0601161
"Forrester Research"	0.0600959
"Nielsen Media Research"	0.0599987
"Forest Service"	0.0598707
"Disease Control"	0.0598586
CWA	0.0597016
"Families USA"	0.0596848
"Department of Health and Human Services"	0.0595786
PBOC	0.0595503
GPU	0.0591888
Dataquest	0.0591686
DMV	0.0588813
"Russian Space Agency"	0.0584165
"Arena Football League"	0.0583815
"Justice Ministry"	0.058381
NTSB	0.0582909
DFG	0.0581522
"U.S. Chamber of Commerce"	0.0581515
"U.S. State Department"	0.0580492
"Agriculture Department"	0.0580004
FEMA	0.0579775
PricewaterhouseCoopers	0.057904
API	0.0579022
"Energy Department"	0.0576027
"Media Metrix"	0.0573148
"Southern Poverty Law Center"	0.0572568
"National Alliance"	0.0570597
"Department of Labor"	0.0569476
"Transparency International"	0.0564113
PETA	0.0563651
"U.S. Treasury Department"	0.0562167
"customs service"	0.0561986
"National Park Service"	0.0560279
guild	0.0559546
"Common Cause"	0.0558996
inspectorate	0.0557412
MKO	0.0556507
BSA	0.0556362
"Commerce Department"	0.0555326
Spitzer	0.0555013
"Center for Responsive Politics"	0.0554605
Tat	0.0554488
HCFA	0.0553964
AOC	0.0553414
"Nihon Keizai Shimbun"	0.0553204
"Texas Department of Health"	0.0552533
TDB	0.0552185
UNICEF	0.055071
Duracell	0.0550475
"National Academy of Sciences"	0.0549699
"Truth Commission"	0.054865
AHA	0.0547448
"Health Ministry"	0.05474
"Human Rights Watch"	0.0547255
repeater	0.0546765
ILO	0.0546691
BB	0.0545329
"Screen Actors Guild"	0.0544805
McCall	0.0544492
"Consumer Federation"	0.0540761
"World Health Organization"	0.0539138
"Planned Parenthood"	0.0538827
Zogby	0.0538387
Starwood	0.05379
"Blue Cross"	0.0537535
Bloomberg	0.0536909
FTC	0.0536765
Nepa	0.0535631
"Bureau of Land Management"	0.0534086
"Humane Society"	0.0533847
"Electronic Frontier Foundation"	0.0533619
"American Medical Association"	0.053203
IHL	0.0531995
"American Civil Liberties Union"	0.0530577
NRC	0.0529726
RIAA	0.0529457
"Federal Emergency Management Agency"	0.0529238
Singson	0.0528469
"Bureau of Labor Statistics"	0.0528222
"U.S. Environmental Protection Agency"	0.052819
"Institute of Medicine"	0.0527682
DP	0.0527149
"Immigration and Naturalization Service"	0.0524621
"Chinese Foreign Ministry"	0.052441
"U.S. Geological Survey"	0.0523706
"Con Ed"	0.0521687
"Treasury Department"	0.05216
USGA	0.0520833
))
(Aachen (desc 1526.08) (sims
Mannheim	0.14962
Rostock	0.142862
Essen	0.140749
Dusseldorf	0.127074
Halle	0.117721
Dresden	0.114603
Vitoria	0.113733
Catania	0.113163
Nago	0.113006
"Port Elizabeth"	0.112925
Posoltega	0.112466
Ensenada	0.108127
Gdansk	0.106358
Malaga	0.106057
Heidelberg	0.103844
Weimar	0.102939
Cacak	0.102827
"San Sebastian"	0.102268
Hannover	0.10146
Karlsruhe	0.101273
Manado	0.101174
Bremen	0.0996751
Wolfsburg	0.0987218
Gudermes	0.0973581
"San Cristobal"	0.0967523
Salonika	0.0965892
"Ciudad Juarez"	0.095903
Murmansk	0.0943822
Ashkelon	0.0935586
Cebu	0.0934917
Lhokseumawe	0.0933489
Rafah	0.0933464
Matadi	0.093129
Duesseldorf	0.092604
Vladikavkaz	0.0925158
Kizlyar	0.0917426
Christchurch	0.0916139
Tapachula	0.0915258
Casas	0.0907278
Wildwood	0.0899222
Beersheba	0.0892032
Izmit	0.0887311
Poughkeepsie	0.0886391
Merida	0.0882144
Mosul	0.0877295
"San Pedro Sula"	0.0875685
"La Paz"	0.0873467
Gelsenkirchen	0.0871441
Stuttgart	0.0866006
Taloqan	0.0857782
Leipzig	0.0856196
"Mount Pleasant"	0.084792
Lucerne	0.0845241
Yerevan	0.0842053
"Del Rio"	0.0841759
Eschede	0.0839145
Novosibirsk	0.0837562
Munich	0.0833448
Juba	0.083299
Multan	0.0831053
Bern	0.0830933
Chamonix	0.0825809
Krakow	0.0825414
Peshawar	0.0825073
Trieste	0.0823707
Hanover	0.0823333
Sochi	0.0820971
Salzburg	0.0820078
Freiburg	0.0819808
Dortmund	0.0818728
Duisburg	0.0813342
Marjayoun	0.0810465
"Borussia Moenchengladbach"	0.0809598
Guadalajara	0.0807687
Cartagena	0.0806806
Limassol	0.0805377
Kismayu	0.0802907
Cologne	0.0797847
Blackpool	0.0789144
Utica	0.07877
Turin	0.0785521
Bulawayo	0.0783307
Hamburg	0.0782825
Davao	0.0781024
Leskovac	0.0780581
Gulu	0.0780252
Cali	0.0776236
Rennes	0.0775604
Ismailia	0.0774544
"Santo Domingo"	0.077452
NIS	0.0774463
Caguan	0.0773657
Lille	0.0769985
Bilbao	0.0764627
Ghent	0.0763258
"Port Moresby"	0.0761776
Acapulco	0.0760417
Golmud	0.0759874
Saida	0.0758965
"Virginia Beach"	0.0758216
Nuremberg	0.0757496
Matamoros	0.0755348
Bayonne	0.0753273
Irbil	0.0747723
Ndola	0.0744447
Youngstown	0.0743673
Mazar-i-Sharif	0.0736278
Nogales	0.0735746
"East Orange"	0.0734897
Baotou	0.0732653
Ur	0.0731629
Kandy	0.072991
Basra	0.0729193
Peterborough	0.0728985
Khabarovsk	0.0728742
Beira	0.0727668
"CHIANG MAI"	0.0722485
Haicheng	0.0722409
Diyarbakir	0.0722397
Sapporo	0.0721357
Sidon	0.0720505
Walkerton	0.0718704
Jinja	0.0718375
"Saratoga Springs"	0.0717273
Ibadan	0.0716537
Antwerp	0.0716152
Avignon	0.0712218
Jalalabad	0.0710201
Odessa	0.0709569
Basle	0.0708104
Bangor	0.0707973
Manta	0.070711
Hempstead	0.0706027
Filderstadt	0.0704203
Goteborg	0.070418
Palembang	0.0703567
Guayaquil	0.0701466
Larnaca	0.0698491
Izmir	0.0698246
Portsmouth	0.0698131
Kisumu	0.0696818
Londonderry	0.0695814
Strasbourg	0.0695328
Nablus	0.0691469
Pisa	0.0691305
Pereira	0.0690548
Dubuque	0.0690157
Najaf	0.0687189
Durres	0.0686525
"Kosovska Mitrovica"	0.0684654
Minsk	0.0684526
Sihanoukville	0.0683919
"Barbara Rittner"	0.0680343
"Martin Schmitt"	0.0678688
Warri	0.0678334
CARACAS	0.0678202
Zamboanga	0.0677339
Chisinau	0.0676492
monotone	0.0675454
Cochabamba	0.0675317
Tijuana	0.0674842
Ramallah	0.0673027
Aberdeen	0.0672707
Urosevac	0.0672337
Medellin	0.0672218
Eilat	0.0671923
Urus-Martan	0.0669754
"Cedar Rapids"	0.0668994
Sevastopol	0.0668616
"Ocean City"	0.0665717
Taba	0.0664531
Kenema	0.0664508
Astana	0.0663912
Jericho	0.0663576
Greenville	0.0663188
Lubbock	0.0663178
Luoyang	0.066287
Klagenfurt	0.066246
Inchon	0.0662309
Toulon	0.0662265
par-@@	0.0660719
Brcko	0.0660035
ZHOUSHAN	0.0659208
Moncton	0.0658375
Elmira	0.0657797
"Banja Luka"	0.0657772
BASEL	0.065749
Hyderabad	0.0657389
Utrecht	0.0654203
Trincomalee	0.0653724
BRIGHTON	0.0652961
Herat	0.0651614
Leverkusen	0.0647734
Kitwe	0.0647478
Eindhoven	0.0647459
Verona	0.0646747
Eureka	0.0646672
Mostar	0.0646596
Liege	0.0645855
Lausanne	0.0645644
))
(Aamodt (desc 1853.53) (sims
"Kjetil Andre Aamodt"	0.294285
Maier	0.226637
Kjus	0.195523
"Pernilla Wiberg"	0.182663
Seizinger	0.1727
Meissnitzer	0.167483
Klim	0.160219
"Lasse Kjus"	0.156277
Doohan	0.150549
Ertl	0.147996
Wiberg	0.146489
"Hermann Maier"	0.1464
Goetschl	0.144807
Godina	0.142138
"Brooke Bennett"	0.137742
Sainz	0.128808
Koznick	0.128146
Hakkinen	0.127477
Pantani	0.126812
"Renate Goetschl"	0.12418
Tanui	0.123581
Devers	0.12176
Zanardi	0.120333
"Martina Ertl"	0.117881
"Katja Seizinger"	0.116698
"Tommi Makinen"	0.116489
Olano	0.115207
"David Coulthard"	0.111985
Coulthard	0.111496
"Hilde Gerg"	0.108759
"Juha Kankkunen"	0.108705
"MIka Hakkinen"	0.108262
Sautin	0.108085
"Jeremy Wotherspoon"	0.108017
"Anita Wachter"	0.107174
Schmitt	0.107163
"Jacques Villeneuve"	0.106685
Krayzelburg	0.106023
"Alexandra Meissnitzer"	0.104118
"Michael Schumacher"	0.101133
"Regina Jacobs"	0.101083
Villeneuve	0.100508
"Dale Jarrett"	0.0997949
"Erik Zabel"	0.0994941
Norwegian	0.0983023
Mayer	0.0972769
"Heinz-Harald Frentzen"	0.0972665
Longo	0.0969692
Julich	0.0966773
"El Guerrouj"	0.0963677
"Eddie Irvine"	0.095898
Fredericks	0.0955997
Popov	0.0949347
Biffle	0.0937386
Montoya	0.0927939
"Michael Von Gruenigen"	0.0925794
"Susie O'Neill"	0.0921424
Dragila	0.0920718
"World News Tonight"	0.0920039
"Deborah Compagnoni"	0.0919733
Boldon	0.0918486
Rossi	0.0913652
"Jearl Miles-Clark"	0.0913134
"Banshee Breeze"	0.0913082
Makinen	0.0907943
"Earnhardt Jr."	0.0903672
"Samantha Riley"	0.0896016
"Marco Pantani"	0.0889125
Khannouchi	0.088611
Austrian	0.0881288
Hickman	0.086374
Loroupe	0.0857005
Ottey	0.085128
"Michael Klim"	0.0849695
Andretti	0.0847737
Labonte	0.0847215
Jalabert	0.0840663
McRae	0.0839981
Butyrskaya	0.0836022
Gebrselassie	0.0831816
Ullrich	0.0831752
Tomba	0.082192
"Maria Mutola"	0.0820964
Schumacher	0.0819871
Aoki	0.0816021
"Thomas Stangassinger"	0.0814977
"Wilson Kipketer"	0.0814316
Inkster	0.0812248
"Tom Dolan"	0.081108
Jarrett	0.0807214
Malek	0.0797517
"Abraham Olano"	0.079506
"Johan Museeuw"	0.079122
Franz	0.0790377
"Chen Hua"	0.0788679
"Mark Martin"	0.0787934
Zuelle	0.07877
Kuchar	0.0782705
Karpov	0.0779291
"Liu Limin"	0.0777879
"Gail Devers"	0.0777482
"Wang Wei"	0.0777338
"Fernando Escartin"	0.0776734
McCarron	0.0775452
Bruguera	0.0775041
"Isolde Kostner"	0.0774345
"Fu Mingxia"	0.0771914
"Laffit Pincay"	0.0767116
"Chen Yan"	0.0763125
Huber	0.0756118
"Li Xuemei"	0.0753941
Adkins	0.0751958
Turgeon	0.0750804
"Li Jiajun"	0.0747779
"Horned Frogs"	0.0745549
Kuehne	0.0744853
Cipollini	0.0744032
"Annika Sorenstam"	0.0743972
"Guo Jingjing"	0.074321
Forsberg	0.0739026
Pippig	0.0734532
Baumann	0.073103
"Answer Lively"	0.0727625
O'Meara	0.0725749
Sorenstam	0.072465
"Wang Yifu"	0.0719425
"Lemon Drop Kid"	0.0717165
"Ward Burton"	0.0716904
Janzen	0.0716784
Earnhardt	0.0714098
Luyendyk	0.0711569
"Max Biaggi"	0.0711175
Hornaday	0.0708724
Hoogenband	0.0707763
Irwin	0.0704939
Heyns	0.0704467
"Yu Zhuocheng"	0.0704113
Cink	0.0701874
"Kenny Brack"	0.070121
Jayhawks	0.0700258
AEK	0.0693511
Wolfpack	0.0693453
Sahadi	0.0693406
"Jeff Burton"	0.0693167
"Victory Gallop"	0.0692524
"Alexei Nemov"	0.0691305
"Elvis Stojko"	0.0690717
"Mike Skinner"	0.0688326
Yagudin	0.0688262
"Dario Franchitti"	0.0685491
"Ecton Park"	0.068474
Guerrouj	0.068413
Kwan	0.0682814
Minutemen	0.0680446
"Richard Burns"	0.0678292
Boilermakers	0.0676341
"Sanchez Vicario"	0.0675561
Wanda	0.0674172
Sanchez-Vicario	0.0673276
"Bjarne Riis"	0.0671563
Kipketer	0.0671144
Kenseth	0.0668038
"Irina Privalova"	0.0667934
"Poul-Erik Hoyer-Larsen"	0.0666596
Shenhua	0.0664289
Hoch	0.0664141
"Jon Drummond"	0.0658671
"Martin Schmitt"	0.0658051
"Inger Miller"	0.0657733
Ajax	0.0657495
Waltrip	0.0657166
"Elena Berezhnaya"	0.0657056
"Damon Hill"	0.0655392
"Wang Chunlu"	0.0650936
"Mary Slaney"	0.0648989
Daylami	0.0646609
Olowokandi	0.0644069
"Hale Irwin"	0.0643159
"Scott Goodyear"	0.0641205
"Paul Tergat"	0.0640902
Vasser	0.0640881
"Frankie Fredericks"	0.0637469
Kafelnikov	0.0635718
"Jenny Thompson"	0.0633893
"Lenny Krayzelburg"	0.063382
Faldo	0.0630057
Novotna	0.0627891
"Koji Ito"	0.062736
Dane	0.0626224
"Jeff Gordon"	0.0625513
"Claudia Pechstein"	0.062477
"Bobby Labonte"	0.0624608
Gremio	0.0622773
Moya	0.0622615
Irvan	0.0622103
"Mike Smith"	0.0621836
"John Andretti"	0.0620835
Maruyama	0.0620788
Seles	0.0620309
Av	0.0619928
))
(Aaron (desc 15988.4) (sims
"Hank Aaron"	0.131479
Maris	0.104528
Musial	0.10018
"Henry Aaron"	0.0958553
Brett	0.0957991
"Lou Gehrig"	0.0855311
"Roger Maris"	0.0854211
Ripken	0.0851576
DiMaggio	0.08437
Ruth	0.0840949
McGwire	0.0840625
"Ty Cobb"	0.0825931
"Joe DiMaggio"	0.0825838
Jason	0.0815185
Jim	0.0805193
Sosa	0.0798879
"Willie Mays"	0.0794222
Ramon	0.0786838
William	0.0785002
Mays	0.0784524
Matthew	0.0783013
"Babe Ruth"	0.0779209
Gretzky	0.0776994
Chris	0.0775301
Brian	0.0770249
Cobb	0.076407
Danny	0.0763482
Ryan	0.0760617
Anthony	0.0755168
Roger	0.0753538
Andrew	0.0749799
"Stan Musial"	0.0748345
Berra	0.0747756
tom	0.0746633
Frank	0.0740579
Jeff	0.0738366
Richard	0.0735356
matt	0.0733216
Scott	0.0728766
Alan	0.0724508
Joe	0.0721921
Kevin	0.0719001
Nicholas	0.0715618
Patrick	0.0709331
"Mickey Mantle"	0.070871
John	0.0708427
Marichal	0.0704734
Adam	0.070438
Ronald	0.0703425
"Ted Williams"	0.0700102
Ben	0.0699532
Bobby	0.0698708
Peter	0.0697839
Robert	0.0697186
Jeremy	0.0696023
Ted	0.069506
Canseco	0.0694204
Jamie	0.0691734
Ali	0.0691631
Carl	0.0687347
Justin	0.0686975
James	0.0685211
Gerard	0.0683543
Kenny	0.0682763
Alex	0.0681828
"Earl Spencer"	0.0681344
Cody	0.0680918
Paul	0.0680535
Thomas	0.0678794
Casey	0.0678023
Pincay	0.0677761
Wyatt	0.0673861
Todd	0.0671387
Gary	0.0669906
Griffey	0.0668885
Tim	0.0668771
Drew	0.0668521
Spencer	0.0668079
Zachary	0.0665189
Jonathan	0.0663756
Steven	0.0662135
Evan	0.0661045
Steve	0.066077
Wilson	0.0656848
Neil	0.0655807
David	0.0655411
Philip	0.0652479
Daniel	0.0650546
Irvan	0.0649624
Michael	0.0648066
Eric	0.0647722
Owen	0.0644254
George	0.0643295
Gwynn	0.0642932
Charles	0.0640498
hogan	0.0636662
Jeffrey	0.0634075
Bruce	0.063136
Giambi	0.0631219
BOB	0.0629547
Jacob	0.0628927
Randy	0.0626884
Johnston	0.0623709
Schmidt	0.062352
Leyritz	0.0619584
Roy	0.0618068
Maurice	0.0616907
Gehrig	0.0615926
Ian	0.0613824
"Sammy Sosa"	0.061344
Stephen	0.0612952
Vladimir	0.0611099
Tommy	0.0610869
Brady	0.0610209
Fisk	0.0609067
"Ken Griffey Jr."	0.0608387
Samuel	0.0606997
Erstad	0.0606619
Nolan	0.0605853
Derek	0.0604566
Bennett	0.0601887
Russ	0.0597289
Wilhelm	0.0596931
Nicklaus	0.0596837
Brandon	0.0594821
Trevor	0.0594617
sandy	0.0591542
Tracey	0.059126
Phil	0.0589605
Joshua	0.0589399
Dennis	0.0586249
Dorothy	0.0585409
Josh	0.0585392
Dave	0.0585252
Mickelson	0.058437
Pedro	0.0583282
Benjamin	0.0582461
Andy	0.0581907
Charlie	0.0581041
"Mark McGwire"	0.0579491
"Juan Marichal"	0.0578246
Greenberg	0.0577139
Hank	0.0577118
Payton	0.0576533
Gant	0.0576514
Greg	0.0576142
Luke	0.0575854
Jeb	0.057483
Glenn	0.0574032
Lou	0.0571178
Edward	0.0571133
Sam	0.05711
Marty	0.0571023
Stewart	0.0570702
"Ernie Banks"	0.0570349
Dorsett	0.0569164
Walter	0.0568275
mike	0.0568084
Burke	0.0567956
Terry	0.0567445
nick	0.0565549
Dierker	0.0565184
Connor	0.0564948
Fred	0.0564413
Joel	0.0564139
Damon	0.0563392
Ed	0.0561204
Johnson	0.0561121
Christopher	0.0560343
Henry	0.0560095
Curtis	0.0559374
Mandela	0.0558797
Stanley	0.0556978
martin	0.0556437
Brody	0.0555922
Shawn	0.0555543
Gonzalez	0.0555248
Kyle	0.0555191
Lopez	0.0554982
Sanchez	0.0554352
Karros	0.0554018
Craig	0.0553976
Barry	0.0553828
Nelson	0.055368
Ralph	0.0553461
Simon	0.0553002
O'Meara	0.0552871
Ferrer	0.0552419
Ahmed	0.0551313
Spielberg	0.0551043
Payne	0.0549647
Parker	0.0548496
Hershiser	0.0548404
Sammy	0.0548301
Blake	0.0548257
Brock	0.0547423
Boggs	0.0547217
Max	0.0546414
Edgar	0.0546308
Koufax	0.0546113
))
("Aaron Boone" (desc 2409.88) (sims
"Dmitri Young"	0.335159
"Pokey Reese"	0.310145
"Sean Casey"	0.283429
"Eddie Taubensee"	0.279132
"Jeffrey Hammonds"	0.264296
"Bill Mueller"	0.236535
"Herbert Perry"	0.233773
"Brian Johnson"	0.231949
"Mike Cameron"	0.227735
Vidro	0.225229
"Russ Johnson"	0.223163
"Barry Larkin"	0.218035
"Willie Greene"	0.216376
"Joe Randa"	0.209093
"Ron Coomer"	0.205876
"Jeff Cirillo"	0.204272
"Paul Konerko"	0.202877
"Dean Palmer"	0.194502
"Phil Nevin"	0.193788
"Scott Rolen"	0.192839
"Eric Chavez"	0.190631
"Travis Fryman"	0.188944
"Warren Morris"	0.187683
"Cristian Guzman"	0.186489
"Manny Alexander"	0.18613
"Luis Alicea"	0.184004
"Jeff Conine"	0.183606
"Enrique Wilson"	0.182226
Lankford	0.181059
"Jon Nunnally"	0.178465
Randa	0.178371
Renteria	0.177546
"Mark Loretta"	0.176322
"Matt Lawton"	0.175936
"Mike Lamb"	0.174577
"Jose Vidro"	0.173013
"Scott Spiezio"	0.17253
"Eric Owens"	0.172287
"Tony Batista"	0.172038
"Alex Gonzalez"	0.171604
"Luis Castillo"	0.171601
"Damian Jackson"	0.1709
Higginson	0.168607
"Brook Fordyce"	0.168356
"Craig Paquette"	0.16771
"Dave Hansen"	0.167565
"Michael Tucker"	0.167186
"David Bell"	0.163662
Bichette	0.163582
"Mike Lowell"	0.162994
Rolen	0.162195
"Pat Meares"	0.161608
"Derrek Lee"	0.161585
"Todd Helton"	0.159449
Fullmer	0.159282
"Mark Kotsay"	0.158038
"Pat Burrell"	0.157793
Cirillo	0.156826
"Sean Berry"	0.155477
Burnitz	0.15516
"John Vander Wal"	0.155126
"Jose Hernandez"	0.154722
"Jose Valentin"	0.154373
"Carlos Lee"	0.153887
"Lenny Harris"	0.153388
"Bret Boone"	0.152109
"Adrian Beltre"	0.151548
"Damian Miller"	0.151297
"Vinny Castilla"	0.150535
"Kevin Young"	0.149604
"Mike Sweeney"	0.14902
"Tony Fernandez"	0.148911
"Corey Koskie"	0.148833
Veras	0.148194
"Dante Bichette"	0.14784
"Tony Clark"	0.147604
"Randy Velarde"	0.147515
"Mickey Morandini"	0.147285
"Tim Bogar"	0.147185
DeShields	0.146477
"Wilton Veras"	0.145882
"Miguel Cairo"	0.144786
"Marquis Grissom"	0.144565
"Shane Andrews"	0.144488
"John Mabry"	0.144478
"Troy Glaus"	0.144434
"Bill Spiers"	0.143613
"Bobby Higginson"	0.143175
"Fernando Vina"	0.141997
"Bobby Smith"	0.141959
"Lou Merloni"	0.141592
"Kevin Jordan"	0.141383
"Carlos Guillen"	0.141308
"Scott Brosius"	0.140831
"Fernando Tatis"	0.14049
Fryman	0.140036
"Geoff Jenkins"	0.1399
"Stan Javier"	0.139483
"Matt Williams"	0.13914
Glanville	0.138401
"Rondell White"	0.137999
"Matt Franco"	0.137977
"Keith Lockhart"	0.13766
"Chris Widger"	0.137379
"Johnny Damon"	0.137032
"Richie Sexson"	0.136821
"David Ortiz"	0.136752
"Russ Davis"	0.13586
"Jeff Kent"	0.135103
Aurilia	0.134604
"Charlie Hayes"	0.134272
"Ken Caminiti"	0.133731
"Ray Durham"	0.133319
Dunston	0.132785
"Juan Encarnacion"	0.131845
"Ed Sprague"	0.13078
"Benji Gil"	0.129708
"Mike Lansing"	0.129622
Batista	0.129487
"Reggie Sanders"	0.129441
"Dave Hollins"	0.129304
"Deivi Cruz"	0.128377
"Miguel Tejada"	0.128315
"Brian Giles"	0.127161
Glaus	0.126859
"Carlos Beltran"	0.126734
"Jason Giambi"	0.126417
"Todd Pratt"	0.125683
"F.P Santangelo"	0.125376
"Jeff Huson"	0.12534
"Ricky Gutierrez"	0.125223
"Edgardo Alfonzo"	0.125211
"Eric Young"	0.125205
Lofton	0.125089
Alicea	0.124214
"Craig Counsell"	0.123261
"J.T Snow"	0.123085
"Rich Aurilia"	0.122935
"John Valentin"	0.122234
Lieberthal	0.121935
"Doug Glanville"	0.121916
Sexson	0.12167
Beltran	0.120586
"Scott Williamson"	0.120015
Nevin	0.119998
"Joe McEwing"	0.119875
"Ruben Rivera"	0.119765
"Greg Vaughn"	0.119436
"Wally Joyner"	0.119234
"Adam Kennedy"	0.118945
Tejada	0.118893
"Robin Ventura"	0.118751
"Gary Gaetti"	0.118694
Surhoff	0.11866
"Neifi Perez"	0.118613
Klesko	0.118564
"Jose Guillen"	0.118394
"Jeff Bagwell"	0.118267
"Luis Sojo"	0.117797
"Will Clark"	0.11778
"Jeromy Burnitz"	0.117029
Valentin	0.116706
"Henry Rodriguez"	0.116221
"Desi Relaford"	0.115995
"Todd Zeile"	0.115917
"Preston Wilson"	0.115734
"Pete Harnisch"	0.115098
"Glenallen Hill"	0.115005
Karros	0.114531
"Lee Stevens"	0.114105
Hollins	0.114101
Olerud	0.114074
"Fred McGriff"	0.113683
"Bobby Abreu"	0.113611
"Bruce Aven"	0.113475
McGriff	0.113314
"Brett Tomko"	0.113206
"Chipper Jones"	0.113021
"David Segui"	0.112702
Agbayani	0.112306
Alfonzo	0.112272
"Lance Berkman"	0.11184
"Ozzie Guillen"	0.111519
Abreu	0.111467
"Mike Lieberthal"	0.111271
"Brian Hunter"	0.111029
Giambi	0.109958
Bordick	0.109928
Erstad	0.109844
"Carlos Febles"	0.109773
"Jay Bell"	0.10951
Elster	0.10917
"Quilvio Veras"	0.108713
"Eric Karros"	0.108519
"Andy Fox"	0.10834
Velarde	0.108165
"Benny Agbayani"	0.108106
"Marvin Benard"	0.108065
"Tony Eusebio"	0.107696
Sojo	0.10745
"Gary DiSarcina"	0.107113
Zeile	0.107076
"Rico Brogna"	0.106816
"Chad Curtis"	0.106731
"Marty Cordova"	0.106585
Sprague	0.106256
Beltre	0.106229
"Bengie Molina"	0.106107
"Darren Bragg"	0.105838
"Cal Ripken"	0.105799
Meares	0.105728
Hidalgo	0.105649
"Tyler Houston"	0.105587
"CARLOS HERNANDEZ"	0.105347
"Frank Catalanotto"	0.104517
Merloni	0.104435
"Trot Nixon"	0.104247
"John Olerud"	0.104118
"Tim Salmon"	0.104102
Larkin	0.104054
"Damon Buford"	0.103815
"Erubiel Durazo"	0.103351
"Ray Lankford"	0.102947
"Damion Easley"	0.102779
"Richard Hidalgo"	0.10243
"Jose Vizcaino"	0.102229
"Orlando Palmeiro"	0.102216
"Edgar Martinez"	0.101551
"Gerald Williams"	0.10134
"Butch Huskey"	0.101272
"Mark Grace"	0.101111
"Jim Thome"	0.100934
"Brad Fullmer"	0.100799
"Juan Castro"	0.10069
"Paul Bako"	0.100683
"Darren Lewis"	0.100637
Taubensee	0.100385
"Vladimir Guerrero"	0.100236
Tatis	0.100167
"Royce Clayton"	0.100157
))
("Aaron Copland" (desc 1703.04) (sims
"Cole Porter"	0.14465
Copland	0.106447
"George Gershwin"	0.097494
"Leonard Bernstein"	0.0974013
Messiaen	0.0953424
"George Balanchine"	0.0949536
Tchaikovsky	0.0929635
"Jerome Robbins"	0.0903914
Balanchine	0.0820519
Ellington	0.0759041
Gershwin	0.0747704
"Richard Wright"	0.0730046
"Willie Nelson"	0.0728977
Schoenberg	0.0727676
Weill	0.0719249
Stravinsky	0.0707867
"Irving Berlin"	0.0706061
Shostakovich	0.0704866
Mahler	0.0678951
"Charlie Parker"	0.0672703
Ravel	0.0669175
"Duke Ellington"	0.0658221
Bartok	0.0634089
Rodrigo	0.0620902
Sondheim	0.0616994
"John Williams"	0.0616825
Vivaldi	0.0601526
Boulez	0.0591429
"Ralph Ellison"	0.0590826
Chopin	0.0586508
Bolcom	0.0583289
Forsythe	0.0580687
Debussy	0.0567641
DVORAK	0.0556917
"Jerry Garcia"	0.0553272
Webern	0.0552533
Tharp	0.0532229
Schubert	0.0530937
"Bob Marley"	0.0528327
"Stephen Sondheim"	0.0527947
"Itzhak Perlman"	0.0527735
Handel	0.0527549
"Andrew Lloyd Webber"	0.0516912
Cline	0.051337
Cobain	0.0510737
"Janis Joplin"	0.050913
Ailey	0.0506555
Bach	0.050402
Beethoven	0.0497816
"Truman Capote"	0.0496254
Harbison	0.0494128
Haydn	0.0490364
LaChiusa	0.0488253
Monteverdi	0.0486278
Merlino	0.0483519
"Miles Davis"	0.0481078
Joplin	0.0479874
Rachmaninoff	0.0473485
"Philip Glass"	0.0468082
"Benny Goodman"	0.0467102
"Mike Sirotka"	0.0465659
"F. Scott Fitzgerald"	0.0460462
"John Cage"	0.0458944
Prokofiev	0.0457492
"George Orwell"	0.0455294
Woolf	0.0455231
"Alice Walker"	0.0449605
stagehand	0.0443299
Castaneda	0.0441275
Hajdari	0.0440766
"John Mellencamp"	0.0437983
"E.B White"	0.0431258
Liszt	0.0431154
Trischitta	0.0429152
"William Styron"	0.0423201
"Langston Hughes"	0.042285
"Martha Graham"	0.0421808
"Marx Brothers"	0.0415248
Amin	0.0414761
Gathers	0.041402
Roberta	0.0412744
Verdi	0.0411063
Coltrane	0.0409252
Autry	0.0407086
"Randy Newman"	0.0406465
"Rob Reiner"	0.0405048
krueger	0.0402371
"Fleetwood Mac"	0.0400614
))
("Aaron Gavey" (desc 1309.31) (sims
"Jon Sim"	0.398401
"Brenden Morrow"	0.337749
"Mike Keane"	0.323018
"Scott Thornton"	0.285698
"Blake Sloan"	0.271842
"Grant Marshall"	0.2473
"Guy Carbonneau"	0.226177
"Jere Lehtinen"	0.222081
"Kirk Muller"	0.22192
"Brian Skrudland"	0.21888
"Jamie Langenbrunner"	0.209519
"Pat Verbeek"	0.200361
"Dave Reid"	0.18712
"Joe Nieuwendyk"	0.176819
"Tony Hrkac"	0.169161
"Derek Plante"	0.155711
"Sergei Zubov"	0.145268
"Shawn Chambers"	0.139519
"Benoit Hogue"	0.13698
"Ted Donato"	0.1278
"Brett Hull"	0.127366
"Kenny Thomas"	0.121122
"Darryl Sydor"	0.121053
"Mike Modano"	0.119678
"Dave Manson"	0.119436
"Pierre Turgeon"	0.119423
"Mike Sullivan"	0.119056
"Richard Matvichuk"	0.118378
"Doug Weight"	0.116753
"Kenyon Martin"	0.115455
"Olli Jokinen"	0.114633
Langenbrunner	0.113769
"Keith Tkachuk"	0.11201
"Craig Ludwig"	0.109841
"Sergei Fedorov"	0.109419
"Theo Fleury"	0.109243
"Geoff Sanderson"	0.107037
"Greg Adams"	0.105304
"Pavol Demitra"	0.104618
"Todd Harvey"	0.102598
"Steve Rucchin"	0.101389
"Mats Sundin"	0.101288
"Raef LaFrentz"	0.0977027
"Brian Skinner"	0.0970994
"Gary Roberts"	0.0959952
"Yao Ming"	0.0953798
"Jennifer Gillom"	0.095217
"Chris Drury"	0.0948458
"Travis Green"	0.0947633
"Yanic Perreault"	0.0946788
"Alexei Yashin"	0.0928488
"Tony Amonte"	0.0927382
"Lee Nailon"	0.0923751
"Curtis Brown"	0.0912866
"Igor Larionov"	0.0912214
"Jeremy Roenick"	0.0911322
"Owen Nolan"	0.0899164
"Milan Hejduk"	0.0892133
"Peter Forsberg"	0.0890135
"Stern John"	0.0887107
"Cliff Ronning"	0.0877637
"Bryan Smolinski"	0.0877151
"Joe Sakic"	0.087694
"Joe Thornton"	0.0868162
"Theo Ratliff"	0.0866123
"Donyell Marshall"	0.0863848
"Brad Miller"	0.086314
"Etan Thomas"	0.0855472
"Eric Lindros"	0.0854176
"Joe Juneau"	0.084597
"Adam Oates"	0.0845856
"Wang Zhizhi"	0.0840785
"Todd MacCulloch"	0.0837521
"Jeff Friesen"	0.0830264
"Patrik Stefan"	0.0828913
"Brendan Shanahan"	0.0825198
"Dave Andreychuk"	0.0823802
"Oliver Miller"	0.08168
"Niklas Sundstrom"	0.080934
"Jason Arnott"	0.0807107
"Jason Allison"	0.080693
"Ziggy Palffy"	0.080361
"Vincent Damphousse"	0.0801254
"Chris Anstey"	0.079457
"Adam Deadmarsh"	0.0791171
"Horace Grant"	0.0790022
"Yolanda Griffith"	0.0788089
"Brian Scalabrine"	0.0786466
"Ed Belfour"	0.0781289
"Derian Hatcher"	0.0780594
"Robert Traylor"	0.0768538
"Scott Gomez"	0.0764376
"Lisa Leslie"	0.0762267
"Patrik Elias"	0.0762075
"Rony Seikaly"	0.0761238
"Predrag Mijatovic"	0.0761028
"P.J Axelsson"	0.0760166
"Alexei Kovalev"	0.0758446
"Petr Nedved"	0.075795
"Vlade Divac"	0.0757812
Nieuwendyk	0.0756867
"Bill Guerin"	0.0754182
"Derrick Coleman"	0.0749081
"Sean Rooks"	0.0748007
"Marcus Fizer"	0.0747876
"Arvydas Sabonis"	0.0745072
"Manny Malhotra"	0.0743299
"Luc Robitaille"	0.0742153
"Ian Laperriere"	0.0735715
"Shawn Marion"	0.0734955
"Rebecca Lobo"	0.0734317
"Jumaine Jones"	0.07314
"Ron Francis"	0.073041
"Natalie Williams"	0.0727719
"DeLisha Milton"	0.0724232
"Matt Harpring"	0.0721504
"Doug Gilmour"	0.0717178
Longley	0.0716803
"Juha Ylonen"	0.0716551
"Robert Reichel"	0.071391
"Ryan Giggs"	0.0712482
"Chris Mihm"	0.0711935
"Craig Johnson"	0.070965
"Kelvin Cato"	0.0707931
"Mike Miller"	0.0707754
"Petr Sykora"	0.070746
"Bill Walton"	0.0704622
"Chris Taylor"	0.0702499
"Bob Corkum"	0.0700106
"Manny Fernandez"	0.0699925
"Dejan Savicevic"	0.0697415
Carbonneau	0.0697206
"Gabe Muoneke"	0.0695641
"Elton Brand"	0.0694997
"Mario Lemieux"	0.0692564
"Valeri Kamensky"	0.069248
"Tyrone Nesby"	0.0692069
"Paul Kariya"	0.0689375
Lehtinen	0.0688679
"Luis Figo"	0.0688392
"Vitaly Potapenko"	0.0687319
"Aaron Williams"	0.0687034
Verbeek	0.0686285
"ZIGMUND PALFFY"	0.0685731
Modano	0.0685541
"Dale Hunter"	0.0685326
"Ray Ferraro"	0.0685071
"Alexander Mogilny"	0.0684749
"Lamond Murray"	0.0682884
"Corliss Williamson"	0.0682347
"Richard Jefferson"	0.0681419
"Glen Murray"	0.0679737
"Landon Wilson"	0.0679169
"Rashard Lewis"	0.0678514
"Matt Geiger"	0.0676371
"Jermaine O'Neal"	0.0661555
"Matt Luke"	0.0660906
"Scot Pollard"	0.0660384
"Olden Polynice"	0.0654426
"Ali Daei"	0.0651975
"Wendel Clark"	0.0649285
"Mark Madsen"	0.0649144
"Dallas Drake"	0.0646965
"Jarvis Turner"	0.0646259
Yashin	0.0646136
"Chris Porter"	0.0645821
"Michael Peca"	0.0645729
"Jozef Stumpel"	0.0644519
"Michael Olowokandi"	0.0643444
"Jason Kapono"	0.0643232
"Steve McManaman"	0.0642516
"Shane Doan"	0.0641932
"Tamika Catchings"	0.0641791
"Joe Kleine"	0.06413
"Steve Yzerman"	0.0640342
"Hristo Stoichkov"	0.0640229
"Hao Haidong"	0.0638815
"Shawn Bradley"	0.0636098
"Ken Belanger"	0.0632885
"Gheorghe Hagi"	0.0631886
"Chamique Holdsclaw"	0.0631268
"Bobby Holik"	0.063095
"Luc Longley"	0.0630445
"Jamie Feick"	0.0627699
"Sun Wen"	0.0620715
"Ante Razov"	0.0619059
"Jonathan Bender"	0.0617077
"Morris Peterson"	0.0616542
"Robert Prosinecki"	0.0616166
"Kevin Willis"	0.0613463
"Vin Baker"	0.0612673
"Sergei Samsonov"	0.0612261
"John LeClair"	0.0611444
"Carlos Hermosillo"	0.0609216
"Grant Long"	0.0608629
"Tim Taylor"	0.060837
"Nelson Emerson"	0.0606347
"Shawn Kemp"	0.0606009
"Vladimir Tsyplakov"	0.0605339
"Bryon Russell"	0.0603996
))
("Aaron Glenn" (desc 1618.03) (sims
"Aeneas Williams"	0.229792
"Jason Sehorn"	0.213399
"Dale Carter"	0.211291
"Ray Buchanan"	0.20939
"Bryan Cox"	0.200948
"Otis Smith"	0.199585
"Wayne Chrebet"	0.193771
"Darrell Green"	0.187869
"Michael Booker"	0.16979
"Mario Edwards"	0.14894
"Ronnie Bradford"	0.148639
"Ty Law"	0.148386
"Sam Madison"	0.148191
"Dwayne Goodrich"	0.143021
"Keyshawn Johnson"	0.124312
"Dedric Ward"	0.123285
"Darrien Gordon"	0.12017
"Pepper Johnson"	0.118285
"Kevin Mathis"	0.11732
"Champ Bailey"	0.117258
"Ryan Roques"	0.116714
"Chris McAlister"	0.115565
"Jason Bell"	0.114349
"Antonio Langham"	0.113797
"Charles Woodson"	0.112581
Bly	0.109898
"Marques Anderson"	0.109655
"Leon Johnson"	0.109287
"Glenn Foley"	0.106298
"Curtis Martin"	0.104278
"Deion Sanders"	0.102193
"Mo Lewis"	0.101344
"Kevin Smith"	0.0992213
"Steve Israel"	0.0989364
"Tebucky Jones"	0.0889327
"Phillippi Sparks"	0.0882589
Chrebet	0.0840725
"Charlie Williams"	0.0820649
"Dexter Coakley"	0.0815676
"Keith Byars"	0.0805667
"Warren Sapp"	0.0797323
"Chad Brown"	0.0789104
"HERMAN MOORE"	0.0746335
"Vinny Testaverde"	0.0745274
"Jimmy Smith"	0.0736321
"Tom Tupa"	0.0731963
"Ray Lucas"	0.0725491
"Dave Thomas"	0.0721759
"Tony George"	0.06874
"Larry Brown"	0.0682291
"Michael Strahan"	0.0676955
"Chris Canty"	0.0667127
"Jessie Armstead"	0.0651468
"Leon Lett"	0.0643614
"Ed McCaffrey"	0.0634914
Meggett	0.063298
"Jimmy Spencer"	0.0614638
Testaverde	0.0602477
"Erik Williams"	0.0599027
"Chris Warren"	0.0572141
"Sam Gash"	0.0571348
"Stephen Davis"	0.0570464
"Steve Atwater"	0.0569657
"Eric Moulds"	0.0559671
"Chris Johnson"	0.0558871
"Darren Woodson"	0.055393
"John Hall"	0.0550633
"Eugene Robinson"	0.0545469
"Rod Smith"	0.0544813
"Derrick Thomas"	0.054229
"Reggie White"	0.0540943
Langham	0.0537817
"Flozell Adams"	0.0531252
"Manny Fernandez"	0.0528647
Mathis	0.0512686
"Ricky Watters"	0.0511995
"Troy Brown"	0.0511331
"Joe Namath"	0.0506473
"Eddie George"	0.0504496
"Eric Whitfield"	0.0504368
Bodine	0.0501173
"Willie Clay"	0.0500242
Andreychuk	0.0499283
"Rob Moore"	0.0497907
Ince	0.049744
Turgeon	0.0496435
Paus	0.049634
"Randall Simon"	0.0495565
"Eric Swann"	0.049446
"Terry Allen"	0.0493205
Woodson	0.0492941
"Mike Alstott"	0.0490346
"Jumbo Elliott"	0.0489889
"Dorsey Levens"	0.0486934
"Joey Galloway"	0.0484816
Swann	0.0482045
"Tim Dwight"	0.0479536
"Ryan Kealy"	0.0475097
Unitas	0.047463
"Bruce Armstrong"	0.0473312
"Bobby Newcombe"	0.0471024
"Todd Husak"	0.0469024
"Al Harrington"	0.0463098
"Mark Stepnoski"	0.0462852
"BRIAN MEADOWS"	0.0462272
"Kevin Williams"	0.0461576
"Jere Lehtinen"	0.0460664
"Jason Fabini"	0.0460137
"Sebastian Janikowski"	0.0458408
"William White"	0.0455181
"JEVON KEARSE"	0.0453914
Recker	0.0452748
"Terry Glenn"	0.0450496
Graziani	0.0448785
"Ernie Irvan"	0.044794
downfield	0.0447777
Newcombe	0.0443204
McIver	0.0443015
"Devean George"	0.0441982
Charley	0.0440816
"Doug Johnson"	0.044002
"Lu Yufu"	0.0439481
"Brenden Morrow"	0.043858
Storr	0.0436217
"three pitchers"	0.0435876
"Steve Beuerlein"	0.043578
"Byron Hanspard"	0.0434021
"Mike Lowell"	0.0433392
"Fred Taylor"	0.0432842
COACHES	0.0431177
"Jamie Storr"	0.0429779
"Darrin Smith"	0.0429523
"Blake Sloan"	0.0427741
DiSarcina	0.0427635
"Steve Young"	0.0425635
Baggio	0.0425164
"Hristo Stoichkov"	0.0424938
"Nwankwo Kanu"	0.0423081
Cormier	0.0420464
"Mike Smith"	0.0419449
"Jamal Anderson"	0.041788
"Jake Reed"	0.0415325
"Kyle Brady"	0.0413834
"Manny Malhotra"	0.0413632
Schoeneweis	0.0412456
Ambrose	0.0412358
"Stephane Fiset"	0.041091
"Brian Skinner"	0.0410241
"Doug Flutie"	0.0410221
Grbac	0.0410066
"Charlie Batch"	0.0407683
Sundin	0.0404162
"Edgerrin James"	0.0403708
Scarpetta	0.0403515
Whitfield	0.0402552
"Tim Taylor"	0.0401698
))
("Aaron McKinney" (desc 1395.42) (sims
"Russell Henderson"	0.228696
McKinney	0.180949
"Shawn Berry"	0.122455
"Shawn Allen Berry"	0.121589
"John William King"	0.1174
al-Megrahi	0.101455
Hage	0.0962041
Kehoe	0.0889933
"Russell Peeler"	0.0866958
"Timothy McVeigh"	0.0774876
Priebke	0.0751216
"Maria Hsia"	0.0719017
Whiting	0.0703485
"Julie Hiatt Steele"	0.0669566
Abernathy	0.0661699
Kalejs	0.0658219
Giacchetto	0.0649026
Akayesu	0.0647784
Laudor	0.0647741
Haouari	0.0644931
Mease	0.0628266
Boesak	0.0623373
Mehmet	0.0616613
Paciello	0.0614221
"Ahmed Ressam"	0.0608464
Markhasev	0.059761
"Charles Schwarz"	0.0597568
"police sergeant"	0.0595979
Shulman	0.058332
Lileikis	0.0581428
noone	0.0566061
Agca	0.0565457
Hsia	0.0553765
"Wen Ho Lee"	0.0553168
Roh	0.0553157
Barrionuevo	0.0550422
"David Hale"	0.0546718
Sakic	0.0529176
Ghani	0.0528433
"Michael Skakel"	0.0527004
Ntakirutimana	0.0515771
Baumhammers	0.0511375
Valenzuela	0.0504207
"Chris Crawford"	0.0499926
"Lawrence Russell Brewer"	0.0498676
"Cary Stayner"	0.0496211
"Fighting Irish"	0.0496036
co-defendant	0.0495848
McEwan	0.0492771
Mikhailov	0.0487394
"Yigal Amir"	0.048689
Fabius	0.0482314
Shipman	0.0480264
Merlino	0.0471965
furrow	0.0471707
Palczynski	0.0470356
Papon	0.0469186
Masire	0.0468676
"Maturino Resendez"	0.0467932
Karr	0.046625
"Olympiakos Piraeus"	0.0463075
Schweitzer	0.0459999
Kazhegeldin	0.0459542
"Dave Winfield"	0.0459512
"Maturino Resendiz"	0.045731
Kiareldeen	0.0456983
"Angel Maturino Resendiz"	0.0454744
Meskini	0.0454563
Kovacevic	0.0453976
mugger	0.0453293
Ng	0.0448621
Bakaly	0.044698
Blanton	0.0446767
"Matthew Shepard"	0.0446255
Schmitz	0.0445924
Swango	0.0444907
"Tom Welch"	0.0444269
Hensley	0.0444218
Lundy	0.0439969
Enis	0.0438719
Aurelio	0.0435065
Soliah	0.0434811
Stayner	0.0434185
"Lino Oviedo"	0.0429821
"Carlos Salinas"	0.0427039
Echegaray	0.0426994
Trevi	0.0426431
Gotti	0.0426212
Connolly	0.0425883
Druckenmiller	0.0424443
Lacresha	0.0422087
"Zimbabwe African National Union-Patriotic Front"	0.0421494
Gauthe	0.0420478
Bruder	0.0418346
Noriega	0.0417775
"Rae Carruth"	0.0415686
Blackthorne	0.041425
"Mark O. Barton"	0.0414027
Cedeno	0.0412573
"Iranian Jews"	0.0412449
Jelisic	0.041104
"Webster Hubbell"	0.0410709
Theodore	0.0409927
Carruth	0.0409853
parolee	0.0409628
Hanley	0.0406923
Muluzi	0.0406207
Norberg	0.0405686
Dutchmen	0.0403966
Eduardo	0.0403481
McDuff	0.0403397
McDougals	0.0402807
Combs	0.04027
Espinosa	0.0401341
"Edwin Edwards"	0.0400963
Shinn	0.04005
Nikitin	0.0400333
co-defendants	0.0400008
))
("Aaron Sele" (desc 5981.84) (sims
"John Burkett"	0.324163
"Esteban Loaiza"	0.323917
"Freddy Garcia"	0.275346
"Rick Helling"	0.271489
"Todd Stottlemyre"	0.244863
"Woody Williams"	0.242125
"Paul Abbott"	0.242091
Sele	0.236674
"Darren Oliver"	0.235074
"Justin Thompson"	0.231497
"John Halama"	0.225835
"Brian Moehler"	0.222214
"Jamie Moyer"	0.222043
"Brad Radke"	0.221588
"Armando Reynoso"	0.217905
"Mike Morgan"	0.21752
"Juan Guzman"	0.214887
"Brett Tomko"	0.212155
"Ken Cloude"	0.207454
"Jeff Fassero"	0.205775
"Mark Clark"	0.204545
"Scott Erickson"	0.197955
"Omar Olivares"	0.193313
"Tim Belcher"	0.192898
"Kevin Tapani"	0.192714
"Tim Crabtree"	0.191766
"Russ Ortiz"	0.191145
"Steve Trachsel"	0.190722
"Steve Parris"	0.19056
"Rolando Arrojo"	0.190145
"Kenny Rogers"	0.190085
"Gil Heredia"	0.189063
"Kent Bottenfield"	0.186477
"Pat Rapp"	0.186226
"Mike Mussina"	0.184326
"Jon Lieber"	0.182675
"Gil Meche"	0.181601
"Mac Suzuki"	0.178999
"Kevin Appier"	0.178373
"Francisco Cordova"	0.177808
"Jeff Zimmerman"	0.177513
"Mark Gardner"	0.175184
"Darryl Kile"	0.174912
"Shane Reynolds"	0.173873
"Ryan Dempster"	0.173714
"Mike Sirotka"	0.173699
"Chuck Finley"	0.173698
"Andy Benes"	0.17275
"Jason Bere"	0.172543
"Eric Milton"	0.17057
"Pat Hentgen"	0.169631
"Mark Portugal"	0.169609
"Bryce Florie"	0.169218
"Chris Carpenter"	0.168981
"Jamey Wright"	0.168334
"Jason Schmidt"	0.168177
"Carl Pavano"	0.167308
"Tom Candiotti"	0.166906
"Dave Burba"	0.166671
"Pedro Astacio"	0.163138
"Ryan Glynn"	0.162823
"Matt Morris"	0.161772
"Brian Rose"	0.160925
"Scott Elarton"	0.159555
"Kirk Rueter"	0.159396
"Sidney Ponson"	0.159295
"BRIAN MEADOWS"	0.158476
"Hideo Nomo"	0.156412
"Darren Dreifort"	0.156216
"Joey Hamilton"	0.156097
"Paul Byrd"	0.15606
"Charles Nagy"	0.155563
"Danny Patterson"	0.153974
"Hideki Irabu"	0.152078
"Sean Bergman"	0.151388
"Chan Ho Park"	0.1505
"Mike Hampton"	0.150173
"Rick Reed"	0.149867
"Javier Vazquez"	0.149442
"Masato Yoshii"	0.148454
"John Wetteland"	0.148382
"Bartolo Colon"	0.148095
"Mike Timlin"	0.147816
"Jose Lima"	0.147403
"Brian Bohanon"	0.146851
"Jaret Wright"	0.14668
"Dave Mlicki"	0.145914
"Brett Hinchliffe"	0.145413
"Ramon Martinez"	0.145107
"Jose Mesa"	0.143547
"Pete Harnisch"	0.142358
"Matt Perisho"	0.141984
"Willie Blair"	0.141975
"Jin Ho Cho"	0.141586
"Jim Parque"	0.141315
"Byung-Hyun Kim"	0.140587
"Ramiro Mendoza"	0.14046
"Jesus Sanchez"	0.140364
"Andy Ashby"	0.139648
"Curt Schilling"	0.139546
"David Cone"	0.138903
"Jose Paniagua"	0.138174
"Wilson Alvarez"	0.137812
"Denny Neagle"	0.137789
Trachsel	0.136642
"Orlando Hernandez"	0.135725
"Octavio Dotel"	0.134903
"Ismael Valdes"	0.134789
"Jason Dickson"	0.134596
"John Smoltz"	0.134591
"Dustin Hermanson"	0.134278
"Al Levine"	0.133973
"Mike Judd"	0.133586
"Bret Saberhagen"	0.133551
"Andy Pettitte"	0.132416
"John Snyder"	0.131568
"Brian Anderson"	0.131328
"Royce Clayton"	0.130673
"Arthur Rhodes"	0.13061
"Jeff Weaver"	0.130563
"Terry Mulholland"	0.130504
"Omar Daal"	0.129875
"Tom Goodwin"	0.129026
Bottenfield	0.127066
"Al Leiter"	0.126212
"Ken Hill"	0.126127
"Chris Holt"	0.12541
"Brad Penny"	0.124977
"Robinson Checo"	0.124611
"Livan Hernandez"	0.124514
"Kent Mercker"	0.124297
"Ramon Ortiz"	0.123579
"Pete Schourek"	0.123386
"Dwight Gooden"	0.12321
"Frankie Rodriguez"	0.123156
"Kerry Wood"	0.122573
"Scott Williamson"	0.122554
"Mark McLemore"	0.122326
"Roger Clemens"	0.122171
"STEVE WOODARD"	0.121977
"Billy Taylor"	0.121661
"Tom Glavine"	0.120694
"Kevin Brown"	0.120571
Hentgen	0.120324
"Steve Sparks"	0.120154
"Tim Hudson"	0.120141
"Shawn Estes"	0.119666
"James Baldwin"	0.118889
Loaiza	0.118206
Rueter	0.118077
"Russ Springer"	0.117907
"Orel Hershiser"	0.117788
"Mark Petkovsek"	0.117248
"Jose Jimenez"	0.116893
Helling	0.116421
"Jason Isringhausen"	0.116051
D'Amico	0.115875
"Alex Fernandez"	0.115094
"Scott Karl"	0.115019
"Mark Leiter"	0.114822
Lieber	0.114461
"John Wasdin"	0.114336
"Jack McDowell"	0.114264
"Greg Maddux"	0.114228
"Stan Javier"	0.114006
"Randy Johnson"	0.112945
"David Wells"	0.112773
"Doug Henry"	0.112143
Kile	0.112044
"Bill Pulsipher"	0.111953
"Eric Gagne"	0.111456
"Brian Cooper"	0.110989
"Tim Wakefield"	0.110247
"Paul Shuey"	0.1093
"Carlos Guillen"	0.109155
"Danny Graves"	0.109154
"Rusty Greer"	0.108829
Astacio	0.108684
Hermanson	0.108248
Stottlemyre	0.108091
"Vladimir Nunez"	0.108087
"Ron Villone"	0.107081
Harnisch	0.106666
"Matt Herges"	0.106578
Burkett	0.106455
"Lee Stevens"	0.105826
Tapani	0.105001
"Eric Gunderson"	0.104775
"Scott Schoeneweis"	0.103996
"Pedro Martinez"	0.102829
Moehler	0.102604
"Carlos Perez"	0.102085
"Jamie Arnold"	0.101862
Rusch	0.101856
Dempster	0.101772
"Turk Wendell"	0.10155
"Pat Mahomes"	0.100485
Arrojo	0.0998737
"Robb Nen"	0.0996885
"Doug Davis"	0.0996775
))
("Aaron Sorkin" (desc 1946.83) (sims
"David E. Kelley"	0.285501
"Kevin Williamson"	0.254964
"John Wells"	0.243687
"Matt Groening"	0.180078
"Steven Bochco"	0.179575
"Stan Lee"	0.172982
"Norman Lear"	0.171313
"Chris Carter"	0.167134
"Linus Torvalds"	0.144532
"CHARLES SCHULZ"	0.129858
"Trey Parker"	0.12231
"Jim Henson"	0.116751
"George Lucas"	0.115723
"Aaron Spelling"	0.112768
"Don Hewitt"	0.095744
"Tom Stoppard"	0.0870435
"Andrew Morton"	0.0849943
"Jerry Bruckheimer"	0.0844807
Seuss	0.0800129
"Alan Ball"	0.0781211
Kelley	0.0731612
"April Oliver"	0.0730557
Sorkin	0.0703327
"Michael Crichton"	0.0668991
Szabo	0.0668087
"David Irving"	0.0664429
"James Cameron"	0.0657127
"Rob Thomas"	0.0631804
"Livent Inc."	0.0617994
"Lu Xun"	0.0602644
"Ted Turner"	0.0577506
co-creator	0.0570175
"Arnold Communications"	0.0569475
"Paul Schrader"	0.055214
"KEN BURNS"	0.0547033
"Frederick Law Olmsted"	0.0544436
animators	0.0540967
"J.K Rowling"	0.0540287
Bochco	0.0535509
"David Remnick"	0.0528123
colonnade	0.0526006
calligrapher	0.0524358
"Barry Levinson"	0.0513936
"Petroleum Exporting Countries"	0.0511838
"Quincy Jones"	0.0510938
NBC-TV	0.0505206
"Third Watch"	0.0501182
"Wole Soyinka"	0.0499702
"Al Franken"	0.0496434
"Isabel Allende"	0.0492956
"Stephen King"	0.0490016
"Arthur Miller"	0.0488037
"BBDO New York"	0.0485294
"Sun Microsystems Inc."	0.0482869
"Mark Johnson"	0.0477473
"Jack Smith"	0.0475895
Upshaw	0.0465016
Brecht	0.0453975
LaBute	0.0449927
"John Irving"	0.0447495
"Garth Drabinsky"	0.0445725
"TOM CLANCY"	0.0444128
"Keri Russell"	0.044345
Rowling	0.0443366
Linus	0.0439599
McPherson	0.0438716
"Salman Rushdie"	0.042967
"Spike Lee"	0.04293
"Joe Murray"	0.0427977
Weisman	0.0427253
"Saatchi &AMP; Saatchi"	0.0424025
"William Styron"	0.0416252
"Sports Night"	0.0412493
"talent agent"	0.0412208
"Jeffrey Katzenberg"	0.0411946
"David Lynch"	0.0410278
Epstein	0.0409215
Colette	0.0409136
Osborne	0.0407965
McKenna	0.0403795
Conroy	0.040363
"Republican Leadership Council"	0.0400945
))
("Aaron Spelling" (desc 2138.52) (sims
"David E. Kelley"	0.142959
"Steven Bochco"	0.140718
"Jerry Bruckheimer"	0.136704
"Aaron Sorkin"	0.112768
"Don Hewitt"	0.110698
"John Wells"	0.10707
"Norman Lear"	0.0990535
Bochco	0.0924795
"Quincy Jones"	0.0824943
"April Oliver"	0.0776646
"Dick Clark"	0.068787
NBC-TV	0.0665444
"Kevin Williamson"	0.0646307
Kirov	0.0645296
"Lincoln Center Theater"	0.0638629
"Fox TV"	0.0630142
"Twin Peaks"	0.0615364
"Republican Leadership Council"	0.0614307
"James Cameron"	0.0611246
"Livent Inc."	0.0606825
"Shirley MacLaine"	0.0605577
"John Malone"	0.0604377
"George Lucas"	0.0600952
"Roundabout Theater Company"	0.0598592
"Barry Levinson"	0.0588826
"National Thoroughbred Racing Association"	0.0566299
"Faye Dunaway"	0.0565762
"Steven Spielberg"	0.0563171
"Jeffrey Katzenberg"	0.0561344
"Bill Moyers"	0.0559147
"Jack Smith"	0.0553276
"situation comedy"	0.0553017
"Royal National Theater"	0.0551829
"ad blitz"	0.0535535
"David Cassidy"	0.0531146
"Bruce Lee"	0.0530363
"German language"	0.0529264
newswoman	0.0517328
"Walter Matthau"	0.0504235
"Kirk Douglas"	0.0503508
Dre	0.050175
newscaster	0.0499658
"Royal Shakespeare Company"	0.0497685
scriptwriter	0.0494897
Clooney	0.0488702
primetime	0.0488007
"Mark Johnson"	0.0482875
"this @@@@"	0.0479333
Jorgensen	0.0475476
"Edward R. Murrow"	0.0471812
Weisman	0.0470296
weatherman	0.0467446
"New York City Opera"	0.0465852
"David Geffen"	0.046221
Babyface	0.0457307
Showtime	0.0456351
"Tom Hanks"	0.0452155
late-'@@s	0.0452133
"Warren Buffett"	0.0451178
"Michael Douglas"	0.0451147
Bain	0.0447459
Spenser	0.0444989
newsmagazine	0.0443785
"Jenny Jones"	0.0443305
Prima	0.0441899
Reichel	0.0441757
Manley	0.0438128
improv	0.0436515
"Masterpiece Theater"	0.0434477
Kelley	0.0433948
"Oprah Winfrey"	0.0433267
"Garth Drabinsky"	0.043076
"Cartoon Network"	0.0430196
"Barry Diller"	0.0429475
"Luther Vandross"	0.0428982
"Mario Andretti"	0.0428249
Docudrama	0.0425955
Finkel	0.0424036
"Bela Karolyi"	0.0420192
"Robert Redford"	0.0419722
"Peter Lynch"	0.0418783
"KEN BURNS"	0.0418415
clicker	0.0417981
BMG	0.0417783
O'Donnell	0.0416282
hourlong	0.0412018
sportscaster	0.0411312
"weather forecaster"	0.041123
"Jessica Lange"	0.041066
Clinton-Lewinsky	0.0410039
"Doug Johnson"	0.0406373
Livent	0.0405403
OD	0.0404165
"Saatchi &AMP; Saatchi"	0.0403293
))
("Aaron Williams" (desc 1767.24) (sims
"Pete Holland"	0.199382
"Detlef Schrempf"	0.196876
"Chad Hennings"	0.190402
"Sam Adams"	0.190128
"Don Maclean"	0.177951
"Jarvis Turner"	0.175322
"Bryant Young"	0.17139
"Alonzo Spellman"	0.163605
"Cortez Kennedy"	0.16239
"Lester Archambeau"	0.160631
"Hersey Hawkins"	0.157116
"Travis Hall"	0.156863
"John Randle"	0.156643
"Brandon Mitchell"	0.154586
"Dimitrius Underwood"	0.153728
"Chad Eaton"	0.15089
"Shane Dronett"	0.149449
"Michael Strahan"	0.148947
"Chuck Smith"	0.148049
"Warren Sapp"	0.144869
"Olden Polynice"	0.14319
"Brian Scalabrine"	0.136992
"Eric Swann"	0.135191
"Vin Baker"	0.132018
"Trace Armstrong"	0.130884
"Rashard Lewis"	0.127814
"Henry Thomas"	0.127122
"Ken Kocher"	0.126618
"Dana Stubblefield"	0.125694
"Jason Taylor"	0.125442
"Grant Long"	0.124722
"Leon Lett"	0.122895
"Derrick Alexander"	0.121664
"Billy Owens"	0.120938
"Jelani McCoy"	0.119546
"Courtney Brown"	0.118327
"Donyell Marshall"	0.118022
"Horace Grant"	0.11761
"Sam Clancy"	0.116389
"Otis Thorpe"	0.116332
"Michael Myers"	0.115862
"Greg Ellis"	0.1142
"Ferric Collons"	0.113849
"Mark Tuinei"	0.113228
"Juwan Howard"	0.113029
"Ruben Patterson"	0.113019
"Mike Jones"	0.112979
"Orlando Brown"	0.112964
"Charles Haley"	0.112584
"Dale Ellis"	0.109858
"Rodney Rogers"	0.107583
"Tony Hutson"	0.10715
"Brian Skinner"	0.105201
"Howie Long"	0.103796
"Alan Henderson"	0.103634
"Greg Ostertag"	0.102766
"Kavika Pittman"	0.1027
Farr	0.101657
"Jumbo Elliott"	0.101241
"Ephraim Salaam"	0.101228
"Mark Smith"	0.101128
"Gabe Muoneke"	0.099666
"Alexei Kovalev"	0.0994633
"Theo Ratliff"	0.0992693
"Ebenezer Ekuban"	0.099265
"Corliss Williamson"	0.0989421
"Flozell Adams"	0.0982422
"Danny Fortson"	0.0976687
"Gary Trent"	0.0973399
"L.J Shelton"	0.0970326
"Richard Jefferson"	0.0968069
"Chris Crawford"	0.0966892
"Juha Ylonen"	0.0961769
"Kevin Freeman"	0.0961382
"Lamond Murray"	0.095753
"Kenny Thomas"	0.0953187
"Andre Wadsworth"	0.0952934
"Brian Grant"	0.0947918
"Mark Bryant"	0.0938269
"Simeon Rice"	0.0931103
"Travis Knight"	0.0930855
"Solomon Page"	0.0930342
"Walt Williams"	0.092718
"Raef LaFrentz"	0.0922813
"J.R Reid"	0.0921006
"John Fox"	0.0920086
"Lomas Brown"	0.0916672
"Bruce Bowen"	0.0915779
"Rico Hines"	0.0909253
"Shandon Anderson"	0.0908766
"Jeff Trepagnier"	0.0908705
"Tim Thomas"	0.0908359
"Jermaine O'Neal"	0.090675
"Jim McIlvaine"	0.0904477
"Vladimir Stepania"	0.0896532
"Cedric Ceballos"	0.0887472
"Vitaly Potapenko"	0.0883516
"Samaki Walker"	0.0880362
"Chad Morton"	0.0877174
"Othella Harrington"	0.0876401
"Bruce Armstrong"	0.0873658
"Tony Massenburg"	0.0871928
"Shawn Kemp"	0.0867892
"Tamika Catchings"	0.0864888
"Tyrone Nesby"	0.0863614
"Reggie White"	0.0860166
"Derrick Coleman"	0.0858211
"Willie McGinest"	0.0854799
"Jason Fabini"	0.0853817
"CORIE BLOUNT"	0.0853438
"Dejan Savicevic"	0.0852356
"Kenyon Martin"	0.0849826
"Antoine Carr"	0.0847037
"Maurice Taylor"	0.0844875
"Larry Allen"	0.0842482
"Clifford Robinson"	0.0839594
"Bob Whitfield"	0.0838721
"Sean Rooks"	0.0837197
"Scot Pollard"	0.0836523
"Nick Anderson"	0.0833698
"Robert Traylor"	0.0829001
"Sean Farnham"	0.0827304
"Etan Thomas"	0.0826192
"Erik Williams"	0.0824575
"Michael Wright"	0.0824244
"Danny Manning"	0.0823603
"Predrag Mijatovic"	0.0820646
"Chris Taylor"	0.0820009
"Stern John"	0.0811836
"Mike Sullivan"	0.0810628
"John Tait"	0.0809155
"Wally Szczerbiak"	0.080784
"Brad Miller"	0.0805666
"Austin Croshere"	0.0803192
"Jumaine Jones"	0.0793599
"Chris Gatling"	0.0791445
"Brian McBride"	0.0790016
"Sam Perkins"	0.0788831
"Greg Foster"	0.0787641
"Chris Porter"	0.0784084
"Joe Smith"	0.0781865
"Blake Sloan"	0.0781452
"Kris Farris"	0.0773463
"Pat Garrity"	0.0769246
"Rick Fox"	0.0764804
"Clarence Weatherspoon"	0.0763573
"Brandon Granville"	0.076268
"Vernon Maxwell"	0.0758716
"Brent Barry"	0.0752245
"Elden Campbell"	0.0750713
"Bobby Hamilton"	0.075009
"Mark Madsen"	0.0748325
"Tom Gugliotta"	0.0746867
"Greg Anthony"	0.0735272
"Everett McIver"	0.0733365
"Ike Austin"	0.0732493
"Shawn Marion"	0.073111
"Adrian Ilie"	0.0728272
"JEVON KEARSE"	0.072662
"Eric Williams"	0.0726105
"P.J Brown"	0.0724069
"Bryon Russell"	0.0722066
"Joe Juneau"	0.0721103
"Chris Mills"	0.0718446
"Ante Razov"	0.0718207
"Brian Skrudland"	0.0716227
"Jerome Moiso"	0.0711795
"Jere Lehtinen"	0.0710822
"Shane Battier"	0.0708783
"Kris Clack"	0.0702107
"Dominique Wilkins"	0.0700214
"Dickey Simpkins"	0.0698282
"Pavol Demitra"	0.0696963
"Olli Jokinen"	0.0696864
"Michael Smith"	0.0692006
"Jason Allison"	0.0689494
"Dave McGinnis"	0.0687903
"Aaron Gavey"	0.0687034
"Jason Kapono"	0.0686291
"Raul Diaz Arce"	0.0684677
"DeLisha Milton"	0.0682648
"Doug Gilmour"	0.0680052
"Matt Bullard"	0.0678783
"Jeff Friesen"	0.0678407
"Ron Artest"	0.0677803
"Matthew Barnaby"	0.0676184
"Patrik Stefan"	0.0675501
"Marcus Fizer"	0.0674801
"Jamal Mashburn"	0.0671321
"SCOTT BURRELL"	0.0667333
"Jamie Feick"	0.0666861
"Hao Haidong"	0.0666538
"Rasheed Wallace"	0.0664907
Suker	0.0664379
"Wendel Clark"	0.0662495
"Bruce Smith"	0.0661203
"Ronnie Bradford"	0.0659026
"Lorenzen Wright"	0.065857
"Windrell Hayes"	0.0658341
"Alessandro Del Piero"	0.0657639
))
(AARP (desc 6395.44) (sims
"American Association of Retired Persons"	0.228148
"Families USA"	0.213225
"Sierra Club"	0.193774
"Common Cause"	0.172712
AFL-CIO	0.160869
"National Council of La Raza"	0.158262
"Human Rights Campaign"	0.156822
"Kaiser Family Foundation"	0.152311
"New York Civil Liberties Union"	0.148204
"Pew Research Center"	0.145436
"National Education Association"	0.139305
"Public Citizen"	0.138917
ACLU	0.136948
"Anti-Defamation League"	0.132226
"Cuban American National Foundation"	0.130782
"Log Cabin Republicans"	0.13045
"Handgun Control"	0.12542
"National Federation"	0.12395
HKTA	0.123732
NRA	0.123607
"Urban League"	0.123042
"Christian Coalition"	0.122866
"Consumer Federation"	0.122704
ABA	0.12227
"Conference Board"	0.12184
Greenpeace	0.120794
"Human Rights Watch"	0.120747
NAACP	0.119827
NARAL	0.118022
"American Civil Liberties Union"	0.117862
VFW	0.11626
IEA	0.115911
"Transparency International"	0.115497
"U.S. Chamber of Commerce"	0.114579
"Consumers Union"	0.114374
"American Petroleum Institute"	0.113458
"National Association of Broadcasters"	0.112616
"Violence Policy Center"	0.112378
"Amnesty International"	0.111178
"Business Council"	0.110964
"Handgun Control Inc."	0.109938
"Nahdlatul Ulama"	0.109455
"American Jewish Committee"	0.108541
"American Association of Health Plans"	0.108143
ILO	0.107477
Massport	0.107208
DLC	0.107094
UNAIDS	0.106879
NEA	0.106792
"Wine Institute"	0.10677
UNICEF	0.106271
"National Rifle Association"	0.105696
"Center for Responsive Politics"	0.105198
OECD	0.103441
"Air Transport Association"	0.102278
"chamber of commerce"	0.101737
Oxfam	0.101494
"American Bar Association"	0.101367
"National Organization"	0.100935
"Family Research Council"	0.100431
"Urban Institute"	0.100003
ADL	0.098638
"Planned Parenthood"	0.0982323
"National Alliance"	0.0981444
"American Medical Association"	0.0976897
"Judicial Watch"	0.0973196
"American Heart Association"	0.0969001
"National Research Council"	0.0963764
"American Cancer Society"	0.0963325
"National Abortion and Reproductive Rights Action League"	0.0962923
ADB	0.0962688
"National Highway Traffic Safety Administration"	0.0961228
"Democratic Leadership Council"	0.0958438
WIPO	0.0955649
"Natural Resources Defense Council"	0.0947978
PTA	0.0946739
"Council of Europe"	0.0945107
"U.S. Soccer Federation"	0.0943209
"Recording Industry Association of America"	0.0940818
ESCAP	0.0938863
"right to life"	0.0936942
"American Lung Association"	0.0936363
"College Board"	0.0935797
"Center on Budget"	0.0919436
"District Council"	0.0913607
"National Association of Manufacturers"	0.0911053
"National Association"	0.090993
Mensa	0.0908328
ama	0.0907006
"Center for Science"	0.0906619
WEF	0.0901222
"Education Department"	0.0900146
CDC	0.0895393
"National Academy of Sciences"	0.0894604
"National Audubon Society"	0.089127
"Southern Baptist Convention"	0.0890858
"World Jewish Congress"	0.0890426
"Humane Society"	0.0888017
"Rainbow/PUSH Coalition"	0.0887186
"American Legion"	0.0882559
GOPAC	0.0877964
USOC	0.087769
"Commission on Presidential Debates"	0.0876206
"Census Bureau"	0.087288
UPU	0.0872464
TDC	0.0870876
"Hong Kong Tourist Association"	0.0870784
"NFL Players Association"	0.087009
"World Vision"	0.0864232
guild	0.0856516
TrustE	0.0849402
"League of Conservation Voters"	0.0845845
AAA	0.0842648
"United Way"	0.0841572
FEMA	0.0833534
"Cato Institute"	0.0832481
"Electronic Privacy Information Center"	0.0829806
"American Red Cross"	0.0825986
Caritas	0.0822072
CWA	0.0821422
"Electronic Frontier Foundation"	0.0820733
"Department of Education"	0.0819821
"Health Department"	0.0818526
"Brookings Institution"	0.0818498
"Players Association"	0.0817753
"Yankee Group"	0.0817673
"Ethics Commission"	0.081573
"Southeastern Legal Foundation"	0.081549
sag	0.0814784
"National Urban League"	0.0814329
"International Rescue Committee"	0.0813134
"National Conference"	0.0811618
"Heritage Foundation"	0.0806561
federation	0.0801416
"Republican Leadership Council"	0.0800024
"Mastercard International"	0.0796801
"Housing Authority"	0.0794715
WFP	0.078972
"Institute of Medicine"	0.0788315
"Islamic Jihad"	0.0787744
"World Bank"	0.0782275
"think tank"	0.0776205
"Gartner Group"	0.0775548
IPU	0.0771492
"Federal Trade Commission"	0.0768411
OCA	0.0765196
FALN	0.0764055
"U.S. Census Bureau"	0.0762002
USGA	0.0761726
"Jupiter Communications"	0.0761182
"World Wildlife Fund"	0.0759505
"Operation Lifeline Sudan"	0.0758951
AmCham	0.0754231
SSB	0.0754139
RIAA	0.0754106
"Operation Rescue"	0.0753369
"American Association"	0.0749071
"Center for Strategic"	0.0747449
"World Health Organization"	0.0747407
"World Church"	0.0744658
"National Council of Churches"	0.074107
USTA	0.073933
PATA	0.0738616
RNC	0.0737782
"League of Women Voters"	0.0737342
Interpol	0.0736626
"American Federation"	0.0735083
"Motion Picture Association of America"	0.0730452
NASD	0.0723843
UNEP	0.0722194
CBI	0.0718841
"Audubon Society"	0.0716663
Wyeth-Ayerst	0.0710271
"Hong Kong Trade Development Council"	0.0709676
CBO	0.0709002
CMA	0.0702559
PECC	0.0701389
"Department of Health"	0.0701181
"United Nations Population Fund"	0.0700071
PETA	0.0699391
UNDP	0.0698227
Kaiser	0.0698111
HKMA	0.0696703
"National Science Foundation"	0.0696311
"Communications Workers of America"	0.069529
"General Accounting Office"	0.0692285
FTC	0.0692239
Nepa	0.0691814
"Forest Service"	0.0690229
"Association of Flight Attendants"	0.0689671
"Center for Democracy"	0.0689168
UNFPA	0.0688576
OSCE	0.0688372
"trade association"	0.0685498
AOC	0.0685412
"World Food Program"	0.0685265
"State Statistics Bureau"	0.0685033
FAO	0.068279
USAID	0.0679458
"American Bankers Association"	0.0675487
))
(AB (desc 1903.96) (sims
prelim	0.153764
AA	0.0550484
Iroquois	0.0457246
subpar	0.0452283
p@@	0.0450172
"umbilical cord"	0.0447601
smelling	0.0447127
FC	0.0421635
O.	0.0400359
second-grade	0.0400079
))
(ABA (desc 3769.78) (sims
AFL	0.13524
"American Football League"	0.131606
"American Bar Association"	0.131068
PBA	0.125685
AARP	0.12227
"Southwest Conference"	0.115177
ama	0.114246
"U.S. Congress"	0.112945
AmCham	0.104473
"American Basketball League"	0.10188
"blue ribbon"	0.101139
NEA	0.101005
NASD	0.0978587
ABL	0.0978405
USATF	0.0973276
CMA	0.096333
ISU	0.0944818
APA	0.0918391
NARAL	0.091436
UMNO	0.0907627
CAA	0.0904872
VFW	0.0889913
ITF	0.0887029
IEA	0.0883994
C-USA	0.0860202
RNC	0.0858142
"Urban League"	0.0855959
"U.S. Soccer Federation"	0.085431
SSB	0.0853258
PECC	0.0851249
"National Education Association"	0.0845238
PATA	0.084414
NAACP	0.084061
ILO	0.0829077
IPU	0.0825725
"Sierra Club"	0.0824759
"USA Basketball"	0.0818961
"Wine Institute"	0.0812593
"Congressional Black Caucus"	0.0812397
UAW	0.081206
"Big West"	0.0811174
USOC	0.0804147
OECD	0.0799052
AFL-CIO	0.0797767
FIA	0.0797479
guild	0.0792728
"American Medical Association"	0.0761796
DNC	0.0760242
SCLC	0.0754966
RIAA	0.0752622
"Western Athletic Conference"	0.0748263
WCC	0.0746865
CWS	0.0743452
OCA	0.0742446
USGA	0.0734958
cruiserweight	0.0733799
fact-finding	0.0730488
"Appropriations Committee"	0.072982
"Independence Party"	0.0728206
"National Urban League"	0.0721689
WAC	0.0719916
"Football Association"	0.071915
"Common Cause"	0.0714073
CBA	0.0713763
DEP	0.0709305
DLC	0.0707121
interagency	0.0705241
CAF	0.0700667
"International Amateur Athletic Federation"	0.0697439
NRA	0.0696026
MPAA	0.0695127
"American Legion"	0.0692452
CWA	0.0689405
"Los Angeles City Council"	0.0686715
"Arena Football League"	0.0683814
"House GOP"	0.0680231
CalPERS	0.067833
NHRA	0.06774
USTA	0.0677113
ADB	0.0677068
CBI	0.0676801
ADL	0.0673673
"Big Sky"	0.0672689
"Warsaw Pact"	0.0671794
"Asahi Shimbun"	0.0670402
"National Association of Broadcasters"	0.0669637
"Screen Actors Guild"	0.066786
"Medical Society"	0.0665737
"Big Sky Conference"	0.0665056
"Salt Lake Organizing Committee"	0.0663861
NRC	0.0663584
"American Heart Association"	0.0663461
"Islamic Welfare Party"	0.0659194
OAS	0.0657079
"International Olympic Committee"	0.065307
EAC	0.0651639
ESCAP	0.0646754
"National Association of Manufacturers"	0.0646488
NCAA	0.0645902
"Continental Basketball Association"	0.0644802
F.A	0.0644772
RUC	0.0640837
"Chinese Olympic Committee"	0.0638396
Kaiser	0.0636633
"Allied Pilots Association"	0.0634547
"Australian Olympic Committee"	0.0633962
NKP	0.0633869
"International Skating Union"	0.0632666
"Conference USA"	0.0631335
PUC	0.0630033
ATA	0.0628189
UFW	0.0628148
nominating	0.0628031
Rudman	0.0627853
academy	0.062458
"Christian Coalition"	0.0624203
"Transport Ministry"	0.0623226
"International Boxing Federation"	0.0623183
"U.S. Olympic Committee"	0.0622537
"EU Commission"	0.0622143
"National Rifle Association"	0.0621434
"Russian Parliament"	0.0621385
UPU	0.062014
Icann	0.0619936
"CBS Sports"	0.0619291
HKTA	0.061789
"House Appropriations Committee"	0.0616901
PNP	0.0616628
MEA	0.0615859
Gartner	0.0615373
LPGA	0.0614519
"Church of Jesus Christ of Latter-day Saints"	0.0614407
"Recording Industry Association of America"	0.0613977
"Mormon Church"	0.0613469
"World Championship"	0.0612387
DMA	0.0612202
"Arena League"	0.061176
NSA	0.0611414
DFB	0.0611099
"National Council of La Raza"	0.0609848
"Association of Flight Attendants"	0.0609034
NYPD	0.060873
teamster	0.060697
FA	0.0604911
"Department of Corrections"	0.0602802
"machinists union"	0.0602522
WBC	0.0601386
LDP	0.0601281
AOC	0.0600866
FIVB	0.059977
CMAG	0.0599039
NTRA	0.0598692
"Big East"	0.0598089
"House Government Reform Committee"	0.0597533
CCC	0.0595786
Lithuanian	0.0595029
"Republican National Committee"	0.0594807
OSCE	0.0594657
IBF	0.059319
Eximbank	0.0593099
"NFC West"	0.0591793
Chiba	0.0590981
"professional baseball"	0.0590294
NCI	0.0589921
McKesson	0.0589306
KEDO	0.0589032
IAAF	0.0588215
"Operation Rescue"	0.0586902
"Des Moines Register"	0.0585183
"Business Council"	0.0584996
PTA	0.0584692
"NFC East"	0.0583568
"Kaiser Family Foundation"	0.0583286
"Fed Cup"	0.0582686
UCI	0.0581957
SLOC	0.0581402
"United Way"	0.0580561
"Banking Committee"	0.0579684
"Ethics Commission"	0.057871
TDC	0.0578332
FIFA	0.0578059
AMF	0.0578019
under-@@	0.0576721
CPAFFC	0.0574787
"United Steelworkers"	0.0572977
"AFC Central"	0.0570506
"Olympic Committee"	0.0570456
Lakas	0.0567509
"Southern Baptist Convention"	0.0565779
"Motion Picture Association of America"	0.0565739
Biogen	0.0565417
AFA	0.0564983
ACOG	0.0564486
BSA	0.0560948
"Rules Committee"	0.0560511
UUP	0.0560179
HHS	0.0557024
PNC	0.0556202
CCB	0.0556027
MKO	0.055429
))
(Abacha (desc 17878) (sims
"Sani Abacha"	0.253769
Abubakar	0.167414
"Hafez Assad"	0.132559
Tudjman	0.132229
Suharto	0.130393
Obasanjo	0.128084
"Francisco Franco"	0.127991
Musharraf	0.122088
Assad	0.120451
Mobutu	0.119126
Soeharto	0.115918
Abiola	0.11302
Habibie	0.11245
"Abdulsalami Abubakar"	0.111632
Obuchi	0.110449
Mugabe	0.109967
Yeltsin	0.109913
"Abdulsalam Abubakar"	0.109098
Hussein	0.108978
Marcos	0.107895
Dudayev	0.106136
Fujimori	0.105179
Sharif	0.103715
"Olusegun Obasanjo"	0.102073
shah	0.100217
Moi	0.099564
Mandela	0.0981181
Guei	0.0968134
Koroma	0.0964938
Chiluba	0.0963891
Pinochet	0.0961674
"King Hussein"	0.095424
Castro	0.0951585
Wahid	0.0943154
Rafsanjani	0.0943133
Mahathir	0.0932223
Saddam	0.0922329
Putin	0.0921844
Buyoya	0.0907504
"Manuel Noriega"	0.0907366
Museveni	0.0903879
Cardoso	0.0891877
Weizman	0.0890961
Chavalit	0.0888425
Nyerere	0.0887691
Wiranto	0.0887371
Aidid	0.0885621
"Pol Pot"	0.0884093
Bhutto	0.088333
Milosevic	0.0877768
Khatami	0.0874884
Mbeki	0.0872467
"Chavalit Yongchaiyudh"	0.0862373
Samaranch	0.0853883
Kabila	0.084946
"Fidel Castro"	0.0849218
Vajpayee	0.0846353
"Kim Il Sung"	0.0842564
Blackmun	0.0838594
Samper	0.0827844
"Hun Sen"	0.0821742
Tung	0.0821552
Megawati	0.0821003
Primakov	0.0819553
Rabbani	0.0819214
"Mobutu Sese Seko"	0.0818847
Hashimoto	0.0814364
"Sergei Kiriyenko"	0.0813624
"Omar Torrijos"	0.0809525
Chuan	0.0809317
Kuchma	0.0808844
Coverdell	0.0806282
Zedillo	0.0805467
Kaunda	0.0804846
Zou	0.0803789
Kiriyenko	0.0802617
Nano	0.0797641
Ramos	0.0797581
Arafat	0.0796258
Mitterrand	0.0794652
Lukashenko	0.0791229
Kohl	0.0789241
"Maung Aye"	0.0785204
Bedie	0.077581
Stepashin	0.0775439
Banharn	0.0774977
Khamenei	0.0774795
"Deng Xiaoping"	0.0773571
Chavez	0.077175
junta	0.0771024
"head of state"	0.0769459
Prabowo	0.0768617
Bulatovic	0.0767654
Chirac	0.0765018
Gowda	0.0764914
Estrada	0.0764395
Menem	0.0763028
"Oladipo Diya"	0.0762767
Annan	0.0761714
"Pervez Musharraf"	0.0761571
Mkapa	0.0761257
dictator	0.0761181
"Pervaiz Musharraf"	0.0761135
"Chuan Leekpai"	0.0760147
"Kim Jong Il"	0.0759594
Malu	0.0758467
Gadhafi	0.0755494
Velayati	0.0754818
Simitis	0.0754677
"Sonia Gandhi"	0.0754212
"Boris Yeltsin"	0.0753774
Pastrana	0.0753474
Baez	0.0751257
Boutros-Ghali	0.0749712
"Augusto Pinochet"	0.0748913
al-Assad	0.0746633
Netanyahu	0.0743714
"Saddam Hussein"	0.0742049
Bucaram	0.0741417
Franco	0.0740971
Kabbah	0.0739446
Benazir	0.0739135
Daley	0.0733116
Ruggiero	0.0732951
Khomeini	0.0732808
Peres	0.0730335
Murayama	0.0727978
Aquino	0.0726341
Chissano	0.0725359
Kasyanov	0.0724741
Rabin	0.0722616
"Mahathir Mohamad"	0.0720035
"Moshood Abiola"	0.0718081
Hasina	0.0716331
Stalin	0.0715518
Nkomo	0.0715385
Sihanouk	0.0714226
Gorbachev	0.0713635
Majko	0.0713413
Banzer	0.0713185
"Slobodan Milosevic"	0.071168
"Ayatollah Khomeini"	0.0711195
Deng	0.0710891
emir	0.0710413
Zia	0.0703548
"Ansumane Mane"	0.0702504
Hariri	0.0702108
O'Hair	0.0701021
"Nawaz Sharif"	0.0700855
"military leader"	0.070048
Barak	0.0699998
Allende	0.0699936
Bronfman	0.0699541
Vieira	0.0697702
Chernomyrdin	0.0697108
Berisha	0.0694702
Demirel	0.0693583
Ivester	0.0692681
Farrakhan	0.069244
Aristide	0.0692172
Camdessus	0.0691744
D'Alema	0.0690055
Hassan	0.0687372
Blair	0.0685355
Blatter	0.0685131
Prodi	0.0680342
Gingrich	0.0679551
"Keizo Obuchi"	0.0679273
Safir	0.0678913
el-Bashir	0.0676962
Jospin	0.0673132
Lebed	0.0672161
"Khin Nyunt"	0.0671984
Vasile	0.0670644
Mordechai	0.0670541
"Kofi Annan"	0.0669774
Yadav	0.0669612
Rugova	0.0668855
Lawler	0.0667232
Ghali	0.0666407
O'Connor	0.0665913
Rawlings	0.0665769
Mokhehle	0.0665724
Mahuad	0.0665313
Liu	0.0664867
Koirala	0.0663177
Krasniqi	0.0662576
Machel	0.06613
Zeroual	0.0658316
Chretien	0.065788
Abdullah	0.0656472
Anwar	0.065611
Perot	0.0655926
Sankoh	0.0654396
McCurry	0.065349
Clerides	0.0651311
"Deve Gowda"	0.065065
"Ferdinand Marcos"	0.0650463
Salinas	0.0649327
Kabariti	0.0649227
))
(abacus (desc 1445.36) (sims
Lipper	0.10052
supercomputer	0.094594
"Learning Company"	0.0856772
CMG	0.0853605
"weather satellite"	0.0852593
Lexis-Nexis	0.0811519
Toysmart	0.0807829
BUSINESSES	0.0799275
real-time	0.079878
Morningstar	0.0780079
ALZA	0.0766125
"Fred Meyer"	0.075784
"U.S. Trust"	0.0756891
"National Association of Realtors"	0.0745177
Tropicana	0.0743225
"GTE Corp."	0.0743158
Fingerhut	0.0725711
"Learning Co."	0.0723999
Cyrix	0.0717029
IE	0.0698601
"Lipper Inc."	0.0682896
"three pitchers"	0.0679311
emulator	0.0677302
"application program"	0.0673462
videophone	0.067173
classifieds	0.0663363
"toy retailer"	0.0662702
Moby-Dick	0.0660504
"software product"	0.0659835
"consumer credit"	0.0658228
led	0.0657734
Win@@	0.0646325
SDL	0.0637026
"dollar sign"	0.0629568
"Print Shop"	0.0628994
"Princess Mononoke"	0.0627014
shredders	0.0622594
"voting system"	0.0621686
Petrofina	0.0618379
"bank debt"	0.0618197
"media property"	0.061577
"Bay Networks"	0.0611658
PolyGram	0.061158
WordPerfect	0.0606501
"solar wind"	0.0605236
"UNIX operating system"	0.0601008
"debt market"	0.0600106
"Netscape Navigator"	0.0599274
eavesdropper	0.0597242
RealPlayer	0.0596097
Stratus	0.059588
sport-utility	0.0593866
scrip	0.0591998
Snapple	0.0591546
A@XX	0.0591228
Conrail	0.0590866
"bond trading"	0.0590681
"charge card"	0.058717
"voting machine"	0.0582193
"spring water"	0.0581171
Netcom	0.0581058
"Mobil Corp."	0.0580545
Comair	0.0579476
CSA	0.0579099
Comsat	0.0569871
eyewear	0.0569532
Orangina	0.0568738
"ownership stake"	0.0568085
HBOC	0.0567124
Bestfoods	0.0566427
"summer house"	0.0564159
"Tele-Communications Inc."	0.0564075
Bristol-Myers	0.0563864
"particle accelerator"	0.0560526
"Cliffs Notes"	0.0558599
Antara	0.0558292
Ameritech	0.0558087
"electronic database"	0.055762
"parcel of land"	0.0557483
Das	0.0557429
"U S West Inc."	0.0556887
Solaris	0.0555891
"two units"	0.0555028
"Adobe Systems"	0.0554316
"Morningstar Inc."	0.0553194
earpiece	0.0552193
Intl	0.0549692
Telebras	0.0548428
"order form"	0.0547973
"banking company"	0.0546448
"steam locomotive"	0.054629
CompuServe	0.0545946
Ciena	0.0544736
Nextel	0.054435
"HBO &AMP; Co."	0.054408
"retail chain"	0.0543443
"Windows @.@"	0.0542736
"Waste Management"	0.0542562
"spy satellite"	0.0542554
"radio telescope"	0.0541692
"minority stake"	0.0539709
telemedicine	0.0539366
"water filter"	0.0538966
"Hambrecht &AMP; Quist"	0.0538612
"Softbank Corp."	0.0534803
Fairchild	0.0534551
"incentive program"	0.0532822
"fortune cookie"	0.053067
spreadsheet	0.0527249
"software package"	0.0525882
Broderbund	0.0525633
genomics	0.0524615
"New Beetle"	0.0523725
AK-@@	0.0521349
Gatorade	0.052103
"hair spray"	0.0519402
Thunderbird	0.0518817
Chris-Craft	0.051869
"ocean liner"	0.0518476
TELLABS	0.0517895
GTE	0.0517331
"Eileen Collins"	0.0514374
"Charles Schwab Corp."	0.051391
"EMC Corp."	0.0513786
Cerent	0.0513507
Networks	0.0513024
reinsurance	0.051232
outhouse	0.0511582
"data system"	0.0510126
XYLAN	0.0509992
"Census @@@@"	0.0509966
"more than @.@ billion US dollars"	0.0509241
"credit bureau"	0.0508938
"shell game"	0.0508802
"Ford Expedition"	0.05076
ICQ	0.050665
"Rolls-Royce Motor Cars"	0.0504854
NatWest	0.0503004
"Pentium III"	0.0502383
solitaire	0.0501613
"Airtouch Communications"	0.050115
stethoscope	0.0500845
"mainframe computer"	0.0500413
Tankan	0.0500255
ENTREMED	0.0499387
"chain letter"	0.0499317
pontoon	0.0495913
"MediaOne Group"	0.0495636
Medtronic	0.0495514
"retail operation"	0.0495443
"Starr Report"	0.0495345
handset	0.0495338
"wind power"	0.0495068
"Monsanto Co."	0.0494638
thesaurus	0.0493882
"fountain pen"	0.0493838
"sailing vessel"	0.0493598
GPS	0.0492486
"True North"	0.0492465
"delivery service"	0.049202
"BankBoston Corp."	0.0491519
PalmPilot	0.0490557
"trading post"	0.0489883
"Atlantic Richfield"	0.0489171
"athletic facility"	0.0487536
Spyglass	0.0485981
slam-dunk	0.0485936
"Dirty Bird"	0.0484736
"wind tunnel"	0.0484176
Os	0.0482614
"garbage disposal"	0.0482486
Broadcast.com	0.0482213
"Texas Instruments"	0.0481418
"safe harbor"	0.0481413
HomeGrocer.com	0.0481371
ITT	0.0478998
"yellow pages"	0.047872
"Times Mirror Co."	0.047848
TCI	0.0477647
Internet@	0.0477645
Scania	0.0477516
"toy store"	0.0476452
LNG	0.0475752
authentication	0.0474902
"three units"	0.0474739
"U.S. government"	0.0474601
WebTV	0.0474559
"test equipment"	0.0473219
intranet	0.0472369
escrow	0.0471735
forklift	0.0471508
striptease	0.0471404
polymer	0.0471262
"Palm III"	0.0470998
Pillsbury	0.0470693
diagnostics	0.0470553
"Windows @@@@"	0.0470057
Mobil	0.0469823
"artificial heart"	0.0469505
Khalil	0.0468401
))
(abalone (desc 4890.39) (sims
prawn	0.177529
crab	0.14593
clam	0.141465
mussel	0.140593
shrimp	0.137834
oyster	0.134135
shellfish	0.132717
scallop	0.119122
lobster	0.117163
"sea urchin"	0.113177
sturgeon	0.109677
turtle	0.106498
eel	0.101083
salmon	0.100657
tuna	0.0890594
"sea horse"	0.0876036
ostrich	0.0874687
crustacean	0.0871122
waterfowl	0.0854862
"rare bird"	0.0843534
"sea bass"	0.0839026
Jellyfish	0.0838014
crawfish	0.083307
squid	0.0823608
tortoise	0.0811987
"sea turtle"	0.0808299
"striped bass"	0.0805409
kelp	0.0788527
"horseshoe crab"	0.0783264
salamander	0.0777266
halibut	0.0773313
coral	0.0767056
carp	0.0766332
"gray whale"	0.0759118
"blue crab"	0.0752521
rhino	0.0743518
crabs	0.0737144
invertebrate	0.0735725
"fresh fish"	0.0734525
"giant panda"	0.0733951
swordfish	0.073308
snail	0.0730486
deer	0.0716889
Starfish	0.0715258
coho	0.0700825
trout	0.0697677
"Bengal tiger"	0.0694637
"fish fillet"	0.0693401
poultry	0.069143
antelope	0.0687663
peony	0.0674651
grouper	0.0670726
cormorant	0.0665317
crocodile	0.0664924
ibis	0.0660804
quail	0.0657238
striper	0.0657047
panda	0.065438
seaweed	0.0653596
impatiens	0.0649239
octopus	0.0648001
flounder	0.0646898
urchin	0.0645032
weevil	0.0638495
"sugar cane"	0.0628081
"sea cucumber"	0.0627939
buckwheat	0.0627078
anchovy	0.0625375
bluefin	0.0619437
elephant	0.061923
mollusk	0.0617219
"domestic animal"	0.061435
orchid	0.0614187
"coffee bean"	0.0614011
sponge	0.0613924
conch	0.0612259
sorghum	0.0607012
armadillo	0.060034
"Homo erectus"	0.0600193
insect	0.0598244
toad	0.0595525
grapefruit	0.0595509
seafood	0.0595047
mushroom	0.0590096
asparagus	0.058761
"dairy cow"	0.0585834
caviar	0.0584946
maize	0.0583581
herring	0.0581908
rhinoceros	0.0581013
hog	0.058045
"cashew nut"	0.0580108
mosquito	0.0579545
fungus	0.0578255
worm	0.0576134
carnation	0.0575734
wildlife	0.0566674
"foie gras"	0.0566596
locust	0.0565319
Catfish	0.0563485
whale	0.0562832
woodpecker	0.05618
sugarcane	0.056052
crayfish	0.055964
"boxing glove"	0.0557076
algae	0.0555897
moth	0.0554356
Livestock	0.0550868
cod	0.0549104
"bluefin tuna"	0.0548508
snapper	0.0548495
yak	0.0546708
Beijingers	0.0546283
wheat	0.0538799
"Vidalia onion"	0.0538567
corn	0.0537946
hatchlings	0.0536402
butterfly	0.0533367
"king salmon"	0.0529545
miso	0.0526957
mammal	0.0526697
"sea otter"	0.0526368
"hot pants"	0.0523802
poinsettia	0.0523161
owl	0.0522454
camellia	0.0521128
tapioca	0.0520432
tulip	0.0519252
mango	0.0519121
cotton	0.0519047
geese	0.0518308
monkey	0.0517673
"Toyota Corolla"	0.0516991
enamel	0.0516156
gunk	0.0515711
blotch	0.0513755
swan	0.0512155
"feather boa"	0.0511773
BOA	0.0511122
"right whale"	0.0510599
"tuna fish"	0.0508891
frog	0.0506652
grape	0.0506612
plankton	0.0504673
garnet	0.0504625
songbird	0.0504227
pig	0.0503993
"Atlantic salmon"	0.0501868
"wheat flour"	0.0499979
bison	0.0499186
"Ford Mustang"	0.0499094
peppercorn	0.0498061
poppy	0.0497516
papaya	0.0496206
seabird	0.0495598
alligator	0.0495309
"powdered milk"	0.049305
jade	0.0492596
"freshwater fish"	0.04917
elk	0.0491325
"rainbow trout"	0.0491068
stork	0.049067
Bighorn	0.0490647
Primate	0.0489569
rabbit	0.0487255
fossil	0.0485599
"Honda Civic"	0.0484617
test-takers	0.0482685
spider	0.0481507
melon	0.0481504
"black bear"	0.0480948
timber	0.0480349
pumpkin	0.0479568
"filet mignon"	0.0477197
"South Carolinian"	0.0475991
mink	0.047584
steelhead	0.0475775
ladybug	0.0474157
"blue ribbon"	0.0472943
reptile	0.0472248
egret	0.047213
anemone	0.0471935
shark	0.0471435
sockeye	0.0471383
ivory	0.0471054
hen	0.0471021
microbe	0.04702
"wild horse"	0.0470002
walleye	0.0468377
cattle	0.0465233
Pearl	0.0464212
croaker	0.046318
peacock	0.0462659
coca	0.0460861
pork	0.0459546
aphid	0.0458718
pheasant	0.0458515
sheep	0.0457939
bunting	0.0457514
"gray wolf"	0.0457207
))
(abandon (desc 8832.55) (sims
impunity	0.0727772
gusto	0.0680254
vigor	0.0587497
aplomb	0.0581048
"sense of purpose"	0.0577115
fervor	0.0572422
flair	0.056195
zeal	0.056117
spontaneity	0.0555565
aggressiveness	0.0542654
exhilaration	0.0539388
precision	0.0535691
ferocity	0.0532109
verve	0.0525507
ardor	0.0511887
Panache	0.0498122
reverence	0.0491027
wonderment	0.0490626
alacrity	0.048964
intensity	0.0485736
eloquence	0.0482027
fortitude	0.0476811
regularity	0.0475226
exuberance	0.0473245
"first unit"	0.0460045
immediacy	0.0458224
bravado	0.0453257
follow-through	0.0445392
clarity	0.0442783
tenacity	0.0439583
"push back"	0.0437951
vitality	0.0434786
elegance	0.0429982
anticlimax	0.042912
virtuosity	0.042295
cockiness	0.0417171
tenderness	0.0416492
devotion	0.0415255
inventiveness	0.0414271
nonchalance	0.0414028
"joie de vivre"	0.0413133
brio	0.0410193
glee	0.040954
fluidity	0.040884
courage	0.0405749
charisma	0.0405491
subtlety	0.0404849
honesty	0.0403475
solidity	0.0401693
directness	0.0401517
oomph	0.0401143
))
(abandonment (desc 14176.2) (sims
neglect	0.118063
"child abuse"	0.0924245
abuse	0.0892617
desertion	0.0854935
betrayal	0.0851418
molestation	0.084021
exploitation	0.0784169
vandalism	0.0783705
adoption	0.0783348
deprivation	0.0783073
abduction	0.0781191
rethinking	0.0777423
decay	0.0773974
kidnapping	0.0752282
rejection	0.0747915
lawlessness	0.0742516
erosion	0.0737927
acceptance	0.0730953
maltreatment	0.0727929
Ostracism	0.0723494
endangerment	0.0721309
mistreatment	0.0718232
breakdown	0.0715484
hopelessness	0.0713579
mismanagement	0.070709
homelessness	0.0704492
violation	0.0701326
inadequacy	0.070068
reversal	0.069902
brutality	0.0695507
destruction	0.0693204
arson	0.0692006
Alcoholism	0.0690392
poisoning	0.0686974
weakening	0.0686945
victimization	0.0683754
"juvenile delinquency"	0.0676847
disintegration	0.0675826
mockery	0.0675467
looting	0.0674576
rape	0.0669436
incest	0.0667817
undermining	0.0667419
failure	0.0666076
cruelty	0.0661258
cancellation	0.0660693
scrapping	0.0660391
misuse	0.0659949
prostitution	0.0657811
"nervous breakdown"	0.0657016
persecution	0.0656667
confiscation	0.0653807
disappearance	0.0652068
suicide	0.0651704
tampering	0.0651457
trafficking	0.0643978
breakup	0.0642485
continuation	0.0641814
dislocation	0.0640057
escalation	0.0637937
"drug addiction"	0.0635718
adultery	0.0635579
degradation	0.0635577
loneliness	0.0633001
"sexual assault"	0.0629487
"drug abuse"	0.0627747
defection	0.0625994
relaxation	0.0623856
theft	0.0622754
removal	0.0622197
atrocity	0.0617724
usurpation	0.0615764
repression	0.0615226
corruption	0.0614828
realization	0.0614246
misconduct	0.0607217
consolidation	0.060567
infringement	0.0604297
eviction	0.0601235
harassment	0.0599674
malfeasance	0.059891
lowering	0.059881
deportation	0.0596192
downfall	0.059386
displacement	0.0593718
malnutrition	0.0592305
softening	0.0591255
fragmentation	0.0590292
oppression	0.059004
"mental illness"	0.0589521
reevaluation	0.0588841
deceit	0.0588372
injustice	0.0588199
Intensification	0.0586447
exclusion	0.0586366
separation	0.0585686
closure	0.0583201
discrimination	0.0582396
instability	0.0579528
immorality	0.0578177
negligence	0.0577643
materialization	0.0577133
elimination	0.0576278
annexation	0.0575659
smuggling	0.0575309
renunciation	0.0575182
torture	0.057451
shutdown	0.0573921
infanticide	0.0566767
deterioration	0.056434
revamping	0.0563212
scarcity	0.0562997
"drug use"	0.0561751
fulfilment	0.0561279
bankruptcy	0.0560135
abolition	0.0558061
imposition	0.0557957
sabotage	0.0557284
breach	0.0556978
poverty	0.0556414
"bank failure"	0.0555906
insecurity	0.0555316
repeal	0.0553995
obstruction	0.0553316
Tightening	0.0553263
"armed robbery"	0.0552907
devaluation	0.0552797
"sexual harassment"	0.0552317
expulsion	0.0550718
hostage-taking	0.0548322
embezzlement	0.0548197
subversion	0.0547832
infidelity	0.0547265
piracy	0.0546941
realignment	0.0546589
retrenchment	0.0545937
homicide	0.0545217
manipulation	0.0544803
indecency	0.0543835
disregard	0.0543569
starvation	0.0543512
overhaul	0.0542517
alienation	0.0542453
Addiction	0.0542036
burglary	0.0542022
Depression	0.0541643
hijacking	0.0539902
weariness	0.0538401
incompetence	0.0535961
forgery	0.0535448
racism	0.0533432
reconsideration	0.0533096
hooliganism	0.0532654
isolation	0.0532111
depreciation	0.0529542
hardship	0.0529148
denial	0.0529106
insolvency	0.0528171
"drug trafficking"	0.0526668
assimilation	0.0525185
dismantling	0.0525077
miscarriage	0.0525066
mortality	0.0525057
reappraisal	0.0524733
perjury	0.0524628
easing	0.0522508
blackmail	0.0522
phaseout	0.0519883
"money laundering"	0.051924
influx	0.0519127
fraud	0.0518958
Dismissal	0.0518815
espionage	0.0518699
reduction	0.0518321
divorce	0.0516637
loosening	0.0516337
marginalization	0.0515868
postponement	0.0513273
rebirth	0.0512562
greed	0.0512211
apathy	0.0512101
incarceration	0.0511674
malpractice	0.0511334
hypocrisy	0.0510777
fulfillment	0.0510769
repudiation	0.0510231
conspiracy	0.0509314
slowdown	0.050893
pullout	0.0508704
catastrophe	0.0508559
"tax evasion"	0.0508013
lifting	0.0507812
overdose	0.0507735
downturn	0.050644
meltdown	0.0506173
humiliation	0.0505673
stoppage	0.0504406
revision	0.0504241
dumping	0.0503694
emergence	0.0502019
))
(abatement (desc 3178.3) (sims
"tax incentive"	0.0963627
"tax credit"	0.0963284
rebate	0.0926777
"tax break"	0.0898991
exemption	0.0865288
mitigation	0.0807702
"export credit"	0.0803772
deferral	0.0802948
recapitalization	0.0798009
counterterrorism	0.0797569
"safe harbor"	0.0793763
"deficit reduction"	0.0786276
"tax reduction"	0.0780838
"work permit"	0.0759416
easements	0.0748516
rollback	0.0741495
workfare	0.0704331
zoning	0.0703711
scofflaw	0.0697886
easement	0.068692
ergonomics	0.0677461
deductibility	0.0672285
reinvestment	0.0671111
GSP	0.066766
"tax deduction"	0.0661459
"flood control"	0.066087
Lien	0.0659652
"fire control"	0.0658064
"soil conservation"	0.0650821
"building permit"	0.0649242
waiver	0.0644113
"cash bonus"	0.0643367
"disability payment"	0.0641957
"vocational training"	0.0639744
"National Convention"	0.0636963
cleanup	0.0633027
write-off	0.0627151
"land reform"	0.0624698
oil-for-food	0.0623365
"tax benefit"	0.0623074
alleviation	0.0622383
"equity investment"	0.0616139
filtering	0.0614564
"road construction"	0.0609808
guardianship	0.0605644
warranty	0.0604608
"tax treatment"	0.0602621
turbogenerator	0.0601365
"stay of execution"	0.0597468
"family planning"	0.0593437
appropriation	0.0590893
"golden parachute"	0.0588704
beautification	0.058504
"pay raise"	0.0583859
"cost cutting"	0.0583724
"revenue bond"	0.0581719
deduction	0.0581571
amnesty	0.05801
reimbursement	0.0577434
voucher	0.0576011
leasing	0.0574955
naturalization	0.0571635
stabilization	0.0570397
"bond issue"	0.0569923
"compromise plan"	0.0569779
"economies of scale"	0.0567881
reforestation	0.0565162
"population control"	0.0565003
conservation	0.0562954
stopgap	0.056041
"credit line"	0.0558422
"home mortgage"	0.0555671
"employment contract"	0.0549521
"urban planning"	0.0543887
redevelopment	0.0540071
"death benefit"	0.0539202
sanitation	0.0537231
retraining	0.0536307
weight-loss	0.0535843
indemnity	0.0535179
"wage increase"	0.0532514
forfeiture	0.0530257
eradication	0.0530106
Ordinance	0.0529672
"consumer credit"	0.052879
"capital gains tax"	0.0523453
medium-term	0.0522484
detoxification	0.0521368
resettlement	0.0521232
"financial aid"	0.0519662
alimony	0.0519331
electrification	0.0518491
"price support"	0.0516713
"service contract"	0.0515825
commendation	0.0515022
clearance	0.0514961
reparation	0.0514383
counterintelligence	0.0513422
reemployment	0.0512341
recycling	0.0511217
"master plan"	0.0509645
emulator	0.050923
bioengineering	0.0508931
branding	0.0508086
"disability insurance"	0.0508039
surtax	0.0506734
"mass transit"	0.0505906
"consumer loan"	0.0505678
"Proposition @"	0.0505002
"disability benefit"	0.050489
"personal loan"	0.0504757
deregulation	0.0504461
dispensation	0.0503974
"tax increase"	0.0503805
"hospital care"	0.0501781
moratorium	0.0501198
"shock therapy"	0.0500867
sewerage	0.0500374
"product development"	0.0497498
"venture capital"	0.0496381
quarantine	0.0495313
reprieve	0.0494485
"tax hike"	0.0494234
retention	0.0494083
computerization	0.0493253
roofing	0.0490952
relocation	0.0490076
"tax collection"	0.0489644
"line of credit"	0.0488647
referral	0.0486486
remediation	0.0486295
logistics	0.0486155
containment	0.0485799
leniency	0.0485503
injunction	0.0484721
buyback	0.0484324
"one million yuan"	0.0483422
telemedicine	0.0482261
increment	0.0481948
"tax avoidance"	0.0481703
"health insurance"	0.0481449
"conflict resolution"	0.0481169
"raw data"	0.0477004
go-slow	0.0476848
afforestation	0.0475994
"price cutting"	0.0474104
phase-out	0.0473207
"reserve fund"	0.0472328
"garbage disposal"	0.0472198
"management fee"	0.0471734
ambassadorship	0.046974
residency	0.0469627
ten-year	0.0468724
conservancy	0.0468579
demobilization	0.0468078
tutoring	0.0467963
"savings account"	0.0467475
nonproliferation	0.0467343
entitlement	0.0466756
furlough	0.0466748
"social welfare"	0.0466723
NTR	0.0466525
rationalization	0.0466235
visitation	0.0465592
"annual payment"	0.0465017
evaders	0.0464763
citizenship	0.0463304
"food aid"	0.0462029
proactive	0.0460114
interdiction	0.0460083
Shays-Meehan	0.0459593
"New Deal"	0.0458863
"fresh food"	0.0457848
deferment	0.0457718
hedging	0.0457705
payer	0.0457663
buyout	0.0457596
"billion dollar"	0.045745
sewer	0.0457201
"breathing space"	0.0456865
divestiture	0.0456481
"public utility"	0.0455822
inheritance	0.0455354
designation	0.0454547
"order form"	0.045454
infusion	0.0453208
"estate tax"	0.0452175
"letter of credit"	0.0451119
procurement	0.0450178
licence	0.0449844
substitution	0.0448855
accreditation	0.044885
facilitation	0.0448481
"crowd control"	0.0448394
"licensing agreement"	0.0448074
assistances	0.0447374
sterilization	0.0447319
empowerment	0.0446426
childcare	0.0445458
"wind power"	0.0444396
))
(abattoir (desc 1430.85) (sims
slaughterhouse	0.123746
Consulate-General	0.0841579
"High Commission"	0.0819514
"gas plant"	0.0813084
"flour mill"	0.0797429
smelter	0.0791931
"railway system"	0.0761663
"sugar refinery"	0.075518
"Miller Park"	0.0732908
EPZs	0.073087
granary	0.0720082
EPZ	0.0669511
"steel mill"	0.0665357
"textile mill"	0.0663314
sawmill	0.0644933
"building society"	0.0635562
motorway	0.0627334
"suspension bridge"	0.0626356
"blood bank"	0.0612018
"office block"	0.0609299
rustling	0.0609058
"sales outlet"	0.0602092
"pedestrian bridge"	0.0593265
"house of cards"	0.0590247
"nuclear-powered submarine"	0.0588229
"machine shop"	0.0578664
waterworks	0.0577174
"Standard Chartered Bank"	0.0572235
"maritime law"	0.0571352
barnyard	0.057026
"public toilet"	0.0569425
"oil refinery"	0.0568533
"gambling casino"	0.0566663
"National Health Service"	0.0561796
Thyssen	0.0554754
"Millennium Dome"	0.0551904
"particle accelerator"	0.0551399
"truck stop"	0.055106
cistern	0.0550999
sub-branches	0.0550883
"highway system"	0.0547938
"art gallery"	0.0546097
"National Theater"	0.05456
"sewer line"	0.0541597
"Medicare HMO"	0.0540865
offal	0.0537273
"telephone network"	0.0536911
"Queen Victoria"	0.0533728
sell-offs	0.0531993
viaduct	0.053163
"filling station"	0.0531236
Consul-General	0.0531177
"furniture company"	0.0529892
megaplex	0.0520396
"electric company"	0.0519681
parastatals	0.0519531
cannery	0.0519207
co-owners	0.05174
ISO@@@@	0.0517284
"Unit @"	0.0517086
"debt market"	0.0516921
"paper mill"	0.05164
"oil slick"	0.051112
hospice	0.0510858
"public transport"	0.0507994
"ventilation system"	0.0507626
frontlines	0.0506181
"residence hall"	0.0505306
"day care center"	0.0505094
"weather satellite"	0.0504495
"elephant population"	0.0503218
Inman	0.0501787
"butcher shop"	0.0501583
"arms deal"	0.0501377
raiser	0.0500987
"power company"	0.0499674
"electronics industry"	0.0499493
albatross	0.0498093
"manufacturing plant"	0.0497928
"Department of Motor Vehicles"	0.0497827
distributorship	0.0497381
"telephone exchange"	0.0497181
"relay stations"	0.0496771
cityscape	0.0495269
eggshell	0.0495166
"sailing vessel"	0.0493315
"election district"	0.049219
"electrical device"	0.0491915
outhouse	0.0491595
"building code"	0.0491445
"assembly hall"	0.0491328
"power unit"	0.0491178
"domed stadium"	0.0489611
"fighter aircraft"	0.0488824
"Home Secretary"	0.0488554
"bunk bed"	0.0487746
boxcar	0.0487711
TAZARA	0.0486094
"PT Cruiser"	0.0485376
"house party"	0.0483189
"defense contractor"	0.0482992
"voting system"	0.048122
"enforcement action"	0.0479781
"dairy farm"	0.0477651
"tea house"	0.0476527
"service station"	0.0476197
kennel	0.0476081
minesweeper	0.0475792
sewer	0.0475017
"copper mine"	0.0474009
"savings bank"	0.0473125
fallibility	0.0472455
"Mark Richardson"	0.0471689
"luxury liner"	0.0471055
"architectural style"	0.0470831
"industrial park"	0.047044
"railway line"	0.0470334
"water project"	0.0469961
"Homo sapiens"	0.046864
"B&AMP;B"	0.0468567
fiefdom	0.0467755
"phone booth"	0.0467619
stadia	0.0467052
Igloo	0.0467035
"ball field"	0.0465617
"radio telescope"	0.0465572
airship	0.0464975
sub-projects	0.0464877
"equity investment"	0.0464018
"welfare state"	0.0463941
treehouse	0.046375
"Chris Boardman"	0.0463193
kiln	0.0462784
"work group"	0.0462372
"garbage disposal"	0.0461765
oilfield	0.046041
"opera company"	0.0460152
"German Embassy"	0.0459969
"ring road"	0.0458835
KLIA	0.0455363
"nuclear reactor"	0.0454655
"assembly line"	0.0454431
brewery	0.0453433
"Royal Society"	0.0453171
incinerator	0.0451577
taxiway	0.0451241
"Vodafone Airtouch PLC"	0.0450925
"trading floor"	0.0449877
husbandry	0.0449324
transformer	0.04487
"parking area"	0.0448582
manhole	0.0447645
"electoral system"	0.0447359
"oil rig"	0.044729
godown	0.0447107
"packing plant"	0.0446626
cannonball	0.0446338
soliders	0.0446122
"sea lane"	0.0446091
LPG	0.0445885
databank	0.0445348
"rail line"	0.0445179
held	0.0445101
iteration	0.0445092
latrine	0.04444
"psychiatric hospital"	0.0444138
"power grid"	0.0443383
"space walk"	0.0443
overdraft	0.0442652
agro-techniques	0.0442099
"cattle ranch"	0.0439933
specialities	0.043962
"employment contract"	0.0439353
"accounting problem"	0.0438729
NGO	0.0438665
"bus company"	0.0438363
distillery	0.0437048
"pipe organ"	0.0436191
"data system"	0.0435991
whaler	0.0435097
"Gorges Dam"	0.0434612
"Department of Corrections"	0.0434456
SDH	0.0434348
pontoon	0.0434013
"asset sale"	0.0433266
protectorate	0.0433186
"district line"	0.0432567
"entitlement program"	0.0432565
three-pointers	0.0432476
"chain store"	0.0431901
motoring	0.0431595
Overnite	0.0431587
"bowling alley"	0.0431272
heliport	0.043042
"investment portfolio"	0.0430103
"bomb site"	0.0430098
conservancy	0.0429815
"Rainbow Room"	0.042972
"electronic database"	0.042964
SEZs	0.0428908
))
(ABB (desc 3602.41) (sims
Ericsson	0.207224
Siemens	0.187377
Nestle	0.172757
BASF	0.163292
"Siemens AG"	0.161432
Alcatel	0.160598
Nokia	0.15192
Motorola	0.142565
"Thomson CSF"	0.141348
Matsushita	0.140354
NEC	0.137975
Novartis	0.137016
Fujitsu	0.134002
Electrolux	0.128199
Eni	0.127867
Samsung	0.123129
Nortel	0.118195
"UBS AG"	0.117561
Unilever	0.1164
Sanyo	0.115654
Philips	0.114584
UBS	0.110027
Mabetex	0.109833
Hoechst	0.109644
"Du Pont"	0.106512
Volvo	0.105378
Honeywell	0.105076
transnationals	0.104848
Bertelsmann	0.1048
Toshiba	0.103775
Volkswagen	0.102422
Rhone-Poulenc	0.102173
Enron	0.101452
AlliedSignal	0.100171
AstraZeneca	0.0989315
"Northern Telecom"	0.0976079
"Halliburton Co."	0.0969932
Warnaco	0.0959445
Krupp	0.0958569
SAirGroup	0.095714
Westinghouse	0.0952314
ICI	0.0947523
Daimler-Benz	0.0943496
PolyGram	0.0940998
Elf-Aquitaine	0.094086
Vivendi	0.0930044
Hitachi	0.0925683
Roche	0.0923074
"Cable &AMP; Wireless"	0.0921771
Aerospatiale	0.091509
DaimlerChrysler	0.0912997
UTC	0.0912273
"Oracle Corp."	0.0907441
"United Technologies"	0.0895459
"NEC Corp."	0.0883756
Mitsui	0.0881554
UNOCAL	0.0864926
"Eli Lilly"	0.0862421
Mitsubishi	0.0859852
Mannesmann	0.0855187
Ikea	0.0855002
Bayer	0.0853883
SDB	0.0849282
Pirelli	0.0842692
"General Electric Co."	0.0841089
"Qualcomm Inc."	0.0838965
"Raytheon Co."	0.0837968
Halliburton	0.0834798
"General Electric"	0.083225
Ge	0.0830541
AIG	0.0829163
Heinz	0.0828816
"Berkshire Hathaway"	0.082664
YankeeNets	0.0825467
IBM	0.0823006
"Hyundai Group"	0.0819292
LIFFE	0.0817538
Allianz	0.0815522
REPSOL	0.0814073
Daewoo	0.0811176
HKMA	0.0809903
COSCO	0.0804842
"Symantec Corp."	0.0803613
"Lockheed Martin"	0.0801822
"Knight Ridder"	0.0801549
Texaco	0.0800676
"Hewlett Packard"	0.0799058
Dupont	0.0798364
"Lucent Technologies"	0.0796894
"Nortel Networks"	0.0795222
"Travelers Group"	0.079309
Citroen	0.0791195
"Vivendi SA"	0.0791158
"Deutsche Bank"	0.0790635
GEC	0.0789158
"Enron Corp."	0.0786232
Kodak	0.0786163
EMC	0.0785482
Mobil	0.0782229
Cablevision	0.0781962
VEBA	0.078091
"Southern Co."	0.0778619
"Hongkong Telecom"	0.0776202
Monsanto	0.0774873
Schlumberger	0.0770869
Sepracor	0.0769115
Fiat	0.0768419
Totalfina	0.0765919
Carrefour	0.0763872
CCE	0.0759723
Pepsico	0.0758889
Qualcomm	0.0757872
CMGI	0.0755357
Cadbury	0.0754271
"Hughes Electronics"	0.0753697
Exxon	0.0753064
Delphi	0.0752419
Lukoil	0.075219
SGI	0.0751527
E-LOAN	0.0747339
"Visa International"	0.0745228
"De Beers"	0.0742811
Lucent	0.0741692
"Sony Corp."	0.0740874
Aegon	0.0740681
Renault	0.0738991
"Fannie Mae"	0.0738696
Toyota	0.0738368
Daimler-Chrysler	0.0735904
Sony	0.0735379
Cisco	0.0734684
"Bertelsmann AG"	0.0734464
Marketspan	0.0729297
"GE Capital"	0.0728863
Gazprom	0.0727914
Michelin	0.0725516
"Cadbury Schweppes"	0.0723967
Novell	0.0720142
Genzyme	0.0718679
Telefonica	0.0715917
"France Telecom"	0.0715715
Federated	0.0715474
Lg	0.0714023
Alltel	0.0712313
Amgen	0.0710438
Mercedes-Benz	0.0708728
"Softbank Corp."	0.0707453
"Dow Chemical"	0.0707324
Cargill	0.0706529
Lagardere	0.0701493
"P&AMP;G"	0.0700961
NTT	0.0700882
"Dell Computer Corp."	0.07001
Petronas	0.0699651
CITIC	0.0696149
"Thermo Electron"	0.0694436
"Sprint Corp."	0.0692703
EBRD	0.0692033
"Gap Inc."	0.0690517
Alcan	0.0689711
HP	0.0687557
Intel	0.068664
"Glaxo Wellcome"	0.0684366
Hewlett-Packard	0.0683007
"Vodafone AirTouch"	0.0682536
"Volkswagen AG"	0.0682192
Denel	0.0681864
"National Semiconductor"	0.0679296
"MindSpring Enterprises"	0.0675346
Haier	0.0673585
BOC	0.0673295
"Michael Von Gruenigen"	0.0671842
Thomson	0.0671663
Pearson	0.0668218
Unicom	0.0668019
CNTA	0.0667459
"Cisco Systems Inc."	0.0666959
"ELF AQUITAINE"	0.0666924
"Time Warner"	0.0664918
"Housing Authority"	0.066465
Hyundai	0.066298
"RJR Nabisco"	0.0661459
BankAmerica	0.0661172
"Deutsche Telekom"	0.0660444
AmCham	0.0658722
AXA	0.0658132
CalPERS	0.0656555
BellSouth	0.0655327
"Ford Motor Company"	0.065427
"Media Partners"	0.0653701
"Coca Cola"	0.0652059
"Procter &AMP; Gamble"	0.0651587
Saab	0.0650765
"General Motors"	0.0650664
Dassault	0.0650644
"American International Group"	0.0647583
Sunbeam	0.0647091
ALZA	0.0645961
"Motorola Inc."	0.0645549
"Mattel Inc."	0.06444
))
(Abbas (desc 2486.62) (sims
"Mahmoud Abbas"	0.205941
Moratinos	0.176767
Stoyanov	0.168068
Guterres	0.165293
Pickering	0.159359
Ikeda	0.157909
Granic	0.157602
Ruehe	0.156581
Meguid	0.154685
Mordechai	0.149032
Komura	0.148187
Azad	0.144852
Kabariti	0.143772
"De Soto"	0.141865
Kasoulides	0.139983
Rifkind	0.139607
Karimov	0.139187
Alatas	0.13721
Velayati	0.13582
"de Charette"	0.135595
Jayakumar	0.134798
Sharon	0.133111
Rodionov	0.133095
Phieu	0.132427
Sharaa	0.131674
Siazon	0.131674
Berri	0.130186
Shareh	0.129809
Ben-Ami	0.128924
Shara	0.127369
Klestil	0.126886
Lipponen	0.126143
"Abu Mazen"	0.12553
Sharansky	0.12439
Pangalos	0.124134
Abdel-Meguid	0.124054
Beilin	0.124019
Hamad	0.123904
Diouf	0.120731
Shaath	0.120658
Zou	0.119332
Dini	0.118497
Cem	0.118441
Husseini	0.117817
Kostov	0.117804
Pustovoitenko	0.117702
Nzo	0.116759
Klima	0.116556
Constantinescu	0.116044
Axworthy	0.115731
Agca	0.114785
Deuba	0.114102
Nasrallah	0.114019
Chissano	0.11349
Erekat	0.113295
Sahnoun	0.11329
Boueiz	0.112912
Zhirinovsky	0.112563
Shevardnadze	0.112114
Iglesias	0.112093
Orban	0.111415
Fernandes	0.11137
Ogata	0.110772
Insulza	0.110437
Khaddam	0.110125
Wolfensohn	0.109707
Ganzouri	0.109656
Rawabdeh	0.109438
Luong	0.10876
Nujoma	0.108731
Indyk	0.108175
LeBlanc	0.108027
Kharrazi	0.10782
Moussa	0.107784
Soyinka	0.107505
Kok	0.107395
Rakhmonov	0.107376
Sumaye	0.107376
Shahak	0.1073
Majali	0.106872
al-Khatib	0.106525
Sampaio	0.105967
Muoi	0.105634
Scalfaro	0.105346
Hoss	0.105209
"Dore Gold"	0.105123
Solana	0.104765
Sergeyev	0.104036
Vasile	0.103931
Sakakibara	0.103876
Kalejs	0.103848
Camdessus	0.103729
Brittan	0.103708
Rong	0.103387
Milo	0.103244
Bolger	0.1031
Nemtsov	0.102868
Scharping	0.102774
Reimer	0.102656
Narayanan	0.102619
wen	0.10242
Yazdi	0.102384
Luo	0.10229
Niyazov	0.102152
Jovanovic	0.101883
Mkapa	0.101539
Brahimi	0.101321
Nazarbayev	0.101235
Kono	0.101149
al-Sahhaf	0.100794
Akayev	0.100618
Goh	0.100406
Baz	0.100399
Hamid	0.099983
Larsen	0.0997703
Zeroual	0.0994564
Alarcon	0.0993154
Fino	0.0992583
Kumaratunga	0.0988964
Mikhailov	0.098891
Aziz	0.0988558
Hrawi	0.0988194
Ahtisaari	0.0987458
Seleznyov	0.0986319
Ciampi	0.0983719
Gurirab	0.0979893
Qiao	0.0978183
Meles	0.0975567
Zuma	0.0974502
Yassin	0.0970705
Iliescu	0.0968838
Ikimi	0.0968393
Weizman	0.0964255
Ivanov	0.0961726
Tsang	0.0960332
Aventajado	0.0955452
Kuchma	0.0953269
Santer	0.0952312
Gujral	0.0951051
Xiong	0.0945232
Kwasniewski	0.0943402
Advani	0.0943127
Bhutto	0.094206
Kinkel	0.0940275
Mustafa	0.0939869
Garang	0.0935169
Saleh	0.0933964
Talbott	0.0932986
Blanton	0.0931954
Prewitt	0.092908
Hasina	0.0926204
Aliyev	0.0924747
Vedrine	0.0923799
Surin	0.0922768
Fabius	0.0921083
Muluzi	0.091952
Holl	0.0913544
Jia	0.0913148
"Vo Van Kiet"	0.0908087
Tarawneh	0.0907267
Kato	0.0901836
"Maung Aye"	0.0900705
Waigel	0.0899792
Juncker	0.0895907
Bruton	0.089573
Ahern	0.0893975
Demirel	0.0892837
Stroyev	0.0891681
Juppe	0.0890322
Kromah	0.0888945
Azizah	0.088769
"Secretary General Esmat Abdul-Meguid"	0.0884244
Vollebaek	0.088376
Lazarenko	0.0883724
"George Robertson"	0.0883569
Grachev	0.0883487
Chavalit	0.0883279
Banharn	0.0879374
Dehaene	0.087712
Malan	0.0868815
Schuessel	0.0868681
Levitt	0.0866726
Kyprianou	0.0866422
Wilhelm	0.086604
McKinnon	0.0864632
Musa	0.0864258
"Yitzhak Molcho"	0.0855883
Piot	0.0853999
Buzek	0.085356
"Lee Hsien Loong"	0.085181
Markovic	0.0851211
Xanana	0.0850839
Salim	0.0848387
"Goran Persson"	0.0846303
Leghari	0.0846243
Ghali	0.0845982
"Secretary General Esmat Abdel-Meguid"	0.0844717
al-Sahaf	0.0841739
Tarrin	0.0839275
Bhattarai	0.0838443
))
("Abbe Lowell" (desc 1717.52) (sims
"Gregory Craig"	0.393949
"David Boies"	0.353884
"Charles Ruff"	0.340613
"David Kendall"	0.325662
"David Schippers"	0.273726
"William Neukom"	0.264301
"Kenneth W. Starr"	0.234566
"Robert Ray"	0.224034
"Bruce Lindsey"	0.220931
"Vincent Foster"	0.215078
"Jim Thomas"	0.202633
"Robert Bennett"	0.190917
"Jack Quinn"	0.185447
"Ramsey Clark"	0.178843
"Johnnie Cochran"	0.147114
"John Danforth"	0.132944
"Barry Scheck"	0.129885
"Mary Jo White"	0.112911
"Thurgood Marshall"	0.108448
"Yitzhak Molcho"	0.102879
"Kenneth Starr"	0.101709
"prosecuting attorney"	0.0951141
Ruff	0.0871895
Kendall	0.08717
"John Edwards"	0.0863623
Caddell	0.0824379
Kornberg	0.0811227
Schippers	0.0767027
"John Conyers"	0.0761984
"Billy Martin"	0.075542
"Celinda Lake"	0.0748114
"Ken Starr"	0.0723438
"Max Baucus"	0.0714301
"Charles LaBella"	0.0710488
"Ernest Hollings"	0.0704337
"John Breaux"	0.0699671
Fieger	0.0696993
"David Johnson"	0.0696324
"John Kelly"	0.0688605
confidant	0.0682665
"Joseph Biden"	0.0676584
"Patrick Leahy"	0.0665869
"Robert C. Byrd"	0.0665427
"Congressional Democrats"	0.065477
Craig	0.0650048
"Richie Phillips"	0.0648421
"chief administrative officer"	0.0644479
warden	0.0641509
"Dick Gephardt"	0.0641214
Lowell	0.062205
"Michael Kennedy"	0.0620458
"Marc Hodler"	0.0614537
"Russell Feingold"	0.0610915
"Robert Byrd"	0.0600874
Berkley	0.0596025
"John Conyers Jr."	0.0594405
Alioto	0.0592283
Anand	0.058413
"Jim Hodges"	0.0583728
"Tom Harkin"	0.0583353
Ackerman	0.0579424
Hindery	0.0576499
"Vernon Jordan"	0.057471
"Dave Thomas"	0.0573614
"Dale Bumpers"	0.0573318
Baird	0.0572504
O'Neil	0.0572372
"Henry Hyde"	0.0570548
"vote counter"	0.0569467
"Henry Waxman"	0.0567212
"Robert F. Kennedy Jr."	0.0561972
"solicitor general"	0.0559227
"Bernard Sanders"	0.0555888
Lindsey	0.0555455
"Mickey Kantor"	0.0554002
Udall	0.0533893
Rudman	0.0531936
Kennard	0.0520516
Cramer	0.0517632
Yazdi	0.0515681
"Joel Klein"	0.0505967
monarchist	0.0504645
"John Podesta"	0.0503783
Murkowski	0.0503519
"Harry Reid"	0.049931
Danforth	0.0498067
Scruggs	0.0495153
"Daniel Patrick Moynihan"	0.049081
Hodler	0.049004
"Carl Levin"	0.0489878
co-counsel	0.0487948
"Norm Dicks"	0.0487476
"Slade Gorton"	0.0481797
"Nathan Landow"	0.0480595
Waxman	0.047897
Hutchinson	0.0478703
"Gene Sperling"	0.0475671
Bliley	0.0473774
"Jim Nicholson"	0.0468722
Luther	0.0468415
"law partner"	0.0466079
Fleischer	0.0463991
"Paul Begala"	0.0463374
Chappell	0.0462872
"Robert Aventajado"	0.0462629
Weiner	0.0461795
Kenneth	0.0461448
Litigator	0.0461162
"Patty Murray"	0.0460426
"Byron Dorgan"	0.0460143
Nolan	0.0458164
"John Collins"	0.0457796
"DOUG JONES"	0.0450987
"Congressional Republicans"	0.0450317
"Eliot Spitzer"	0.0449941
Loeb	0.0449857
"Brian Cashman"	0.0448837
"Karl Rove"	0.0448376
"Tom Vilsack"	0.0447057
Kessler	0.0446377
"Charles Schumer"	0.0446251
"Robert Torricelli"	0.0443948
Schaffer	0.0443692
"Wang Daohan"	0.0442997
"Richard Gephardt"	0.0439475
Breaux	0.0435596
"Connie Mack"	0.0434949
"Sheila Jackson Lee"	0.0434577
Abercrombie	0.0434318
"Charles Robb"	0.0433716
Ponte	0.0432004
"Ismail Cem"	0.0431048
"Roy Barnes"	0.0428942
"Carter Eskew"	0.0425014
Sensenbrenner	0.0423623
"Charles Rangel"	0.042166
Boyd	0.0418779
"Bob Graham"	0.0417876
"Louis Freeh"	0.041769
Nickles	0.0416126
"trial lawyer"	0.0415725
"Jim Hunt"	0.0415337
"Paul Patton"	0.0414075
"Frank Lautenberg"	0.041059
Jayakumar	0.0410187
"Bob Kerrey"	0.0410044
"Barney Frank"	0.0409548
"Billy Payne"	0.0408357
"William Walker"	0.0407484
Bakaly	0.0407026
"Ann Richards"	0.0407008
Isikoff	0.0406319
"campaign official"	0.0405601
"James P. Hoffa"	0.0405137
Connor	0.0405019
"David Bar-Illan"	0.0402426
"Justice Party"	0.0402208
Upton	0.0401875
))
(abbey (desc 5774.18) (sims
Monastery	0.116258
Convent	0.0865799
Castle	0.0754985
Fort	0.0751409
Cathedral	0.0734473
manor	0.066069
Tabernacle	0.0649438
MCC	0.0637496
chapel	0.0623187
Basilica	0.0615018
Chateau	0.0606437
kibbutz	0.0606258
cemetery	0.0598083
Hermitage	0.0562876
Persia	0.0562095
parish	0.0548285
Scientology	0.053393
mosque	0.0502517
synagogue	0.0501174
cottage	0.0497829
lamasery	0.0482006
edifice	0.0481254
pantomime	0.0477403
fortress	0.0475431
farmhouse	0.0472153
Spago	0.0467146
O'Reilly	0.0466644
fortification	0.045541
Ebenezer	0.0454763
"manor house"	0.0452919
Villa	0.045258
nunnery	0.0446375
brownstone	0.0438224
"sailing ship"	0.0438113
Parthenon	0.0437667
"prayer book"	0.0436095
"burial ground"	0.0434807
Nostradamus	0.0434395
Alexie	0.0434105
Colosseum	0.0431787
"Wembley Stadium"	0.0430866
seminary	0.0427415
Earle	0.0426413
"town hall"	0.0426047
"machine shop"	0.0425951
Olympia	0.0424976
"steel mill"	0.042427
Celestine	0.0423625
"wine cellar"	0.0417797
Kirby	0.0414314
"concert hall"	0.0412531
"Olympic Village"	0.0411419
"Francis of Assisi"	0.040996
Christ	0.0409894
inn	0.040805
croquet	0.0406756
Wedgwood	0.0402182
))
(Abbie (desc 1077.81) (sims
Rhonda	0.0897604
Clarence	0.089557
Dolores	0.0879251
"Azizah Ismail"	0.0856406
Noel	0.0756852
Susann	0.0752661
Storin	0.0742591
Kristin	0.0741852
jasmine	0.074008
Helen	0.0736572
Theresa	0.0727905
Roberta	0.0684909
Elaine	0.068365
Debbie	0.0668079
Liam	0.06637
Jonah	0.0659638
Liz	0.0658851
JoAnne	0.0638208
Bessie	0.0632147
Caray	0.0629359
Marc	0.0627616
Mona	0.0621467
Sylvia	0.0614649
Sally	0.0611655
Donnie	0.0604128
Catherine	0.0594535
Denise	0.0588118
Katie	0.0584446
Kathryn	0.0579675
Jackie	0.0568738
Ernest	0.0565203
Evelyn	0.0563333
anna	0.0559471
Trevor	0.0558023
Brenda	0.055662
Aris	0.0553959
Sheryl	0.0551508
Julie	0.0550957
Paulina	0.0549218
Megan	0.054787
Frankie	0.0540549
Connie	0.0539172
Flanagan	0.0537093
Eyadema	0.0535359
Nora	0.0531389
Lynne	0.0530911
Lydia	0.052993
Marianne	0.0529317
Tyler	0.0528772
Gabriel	0.0526244
"Glenn Hoddle"	0.0526155
Monique	0.0525246
Pecker	0.0523468
Titov	0.0522746
Susie	0.0521392
Camille	0.0521242
Vera	0.0520104
Maude	0.0518831
Lester	0.0514572
Fran	0.0511427
ANN	0.0507065
T.J	0.0506325
Theo	0.0502978
"Adrien Brody"	0.0501431
Shane	0.0501219
"John Quincy Adams"	0.0500777
Kathy	0.050002
Harr	0.0499577
"Dale Jr."	0.049542
Saul	0.0495394
"Jeremy Northam"	0.0494922
Jose	0.0494922
Meg	0.0494335
Sonia	0.0494131
"Bashar Assad"	0.0491841
Lindbergh	0.0491084
"Charlie Brown"	0.0490611
Billie	0.0490244
Judah	0.0490213
Beth	0.0488487
Brody	0.0487711
Evan	0.0486331
Dorothy	0.0485244
Hamid	0.0484631
Shevardnadze	0.048208
Huston	0.0481975
Stella	0.0481904
Vladimir	0.0480083
Clara	0.0478135
Kathleen	0.047752
"Leigh Ann"	0.0477019
Elliot	0.0474327
Agnes	0.0474311
Ethan	0.0472537
Nikki	0.0471978
Sandra	0.0471317
Edward	0.0466632
Isaiah	0.0462595
Dandridge	0.0460455
Fenton	0.045713
Erin	0.0455539
Kusama	0.045403
Lori	0.0450894
Clint	0.045089
Antonio	0.0449737
ISABEL	0.0449088
Ellen	0.0448836
Olivia	0.0448158
Joel	0.0447853
Odai	0.0447424
"Patsy Ramsey"	0.0445282
Machel	0.0444915
TARA	0.044305
Warhol	0.0442916
Freddy	0.0442658
hazel	0.0442271
D.J	0.0441751
Syd	0.0441184
Kenny	0.0439163
Ruggiero	0.043865
Susanna	0.0437789
Thelma	0.0437158
TARPLEY	0.0436746
Mario	0.0436735
Fernando	0.0436322
Val	0.0436088
Pustovoitenko	0.0434357
STUART	0.0434132
"Hank Azaria"	0.0433373
Hawn	0.043326
Sergei	0.0432939
Valerie	0.0432585
"Graca Machel"	0.0432171
Timlin	0.043112
"John Kim"	0.0429491
Vonnegut	0.0429306
Robby	0.0429121
Dora	0.0428873
Melanie	0.0427388
Paolo	0.0426055
Yarmila	0.0424475
Ankiel	0.0424289
Arens	0.0424212
Richey	0.0423754
Vollebaek	0.0422257
"grim reaper"	0.0421959
Tracey	0.0421464
formalism	0.0420543
Phyllis	0.0420098
"Airbus @@@"	0.0419519
timothy	0.0419256
Yarnall	0.041898
Cosell	0.0418598
Mahomes	0.0417962
Ozersky	0.0417921
Junger	0.041709
"four lines"	0.041642
"Queen Noor"	0.0416267
Marge	0.0415977
Andreas	0.041575
Hadley	0.0415268
Marguerite	0.0414545
Gwen	0.0414486
Klemperer	0.0414215
Lorenzo	0.0414076
Lucille	0.0413538
Ian	0.0413521
foreplay	0.0413259
"Ben Stiller"	0.0412757
Nellie	0.0410438
Marcia	0.0410193
Stubbs	0.0410058
Brogna	0.0409866
Josephine	0.040858
al-Sahaf	0.0408177
Clare	0.0407874
Tammy	0.0407371
Tocchet	0.0406471
Jamie	0.040579
Lipponen	0.0403868
"blind man"	0.0403649
Rifkind	0.0403223
Maxine	0.0402975
"Tony Soprano"	0.040185
Rachel	0.0401293
Archie	0.0400356
))
("Abbie Hoffman" (desc 2087.24) (sims
"Harry Wu"	0.102751
"Jose Ramos-Horta"	0.101247
"Ken Saro-Wiwa"	0.0924055
"Janis Joplin"	0.0780585
"Wei Jingsheng"	0.0747368
"Xu Wenli"	0.0731753
"Brigitte Bardot"	0.0721454
"feminist movement"	0.0711686
Hirohito	0.0703225
"Al Sharpton"	0.0681585
"Jack Kerouac"	0.065287
"Democratic Unionist Party"	0.0641616
"Francis Bacon"	0.0635724
"Robert F. Kennedy"	0.061198
"Lillian Hellman"	0.0573673
"Tupac Shakur"	0.0571461
"Martin Luther King Jr."	0.0567506
"William Randolph Hearst"	0.0560062
"William Bennett"	0.055036
"Liu Shaoqi"	0.054597
reorientation	0.0540474
crooner	0.05358
"flower child"	0.0521712
"Saul Bellow"	0.0520069
"Graham Greene"	0.0510465
"Jesse Jackson"	0.051046
pacifism	0.0509492
Colette	0.0508751
"important person"	0.050307
"Kurt Cobain"	0.0491704
"HOWARD COSELL"	0.0491175
"Che Guevara"	0.0481332
"Gianni Versace"	0.0476379
"Ward Connerly"	0.0474916
"John D. Rockefeller"	0.047462
"David Geffen"	0.0468825
"No. @s"	0.0466542
subgenre	0.0465758
"Andy Kaufman"	0.0464986
"Cesar Chavez"	0.046228
Chinese-Indonesians	0.04621
"Jacqueline Kennedy Onassis"	0.0460235
"Jack Benny"	0.0457646
"John Belushi"	0.0450739
"Vince Lombardi"	0.0447873
Marulanda	0.0444988
"film star"	0.044355
"Marilyn Monroe"	0.0442524
"Fox Network"	0.0438602
"Private Ryan"	0.043696
courtier	0.0433886
"Judy Garland"	0.0432139
Khomeini	0.0429956
"Joschka Fischer"	0.0429222
"Hannibal Lecter"	0.0428369
"Yoko Ono"	0.042546
"Diego Rivera"	0.0423542
"Theodore Roosevelt"	0.0422427
"long-distance runner"	0.0421178
arranger	0.0420567
guitarist	0.0414684
"Ernest Hemingway"	0.0414325
"John Quincy Adams"	0.0413058
Robeson	0.041042
Gusmao	0.04087
"Esther Dyson"	0.040753
"P.T Barnum"	0.0407193
pre	0.0406212
"Amelia Earhart"	0.0406025
"Lewis Carroll"	0.0405108
sociopath	0.0404477
"Woody Guthrie"	0.0403202
"class struggle"	0.0403041
"Nelson Rockefeller"	0.04015
"Jimi Hendrix"	0.0401019
))
(abbot (desc 2500.11) (sims
lama	0.110932
monk	0.0972674
nunnery	0.078277
"foster mother"	0.0741235
nun	0.0732016
"police captain"	0.0689974
"Juan Miguel Gonzalez"	0.0684017
autocrat	0.0666875
"aerospace engineer"	0.0663402
headmaster	0.0637814
"police sergeant"	0.0615326
grandmaster	0.0615165
"test pilot"	0.0612082
"electrical engineer"	0.0610279
"postmaster general"	0.0608139
"Juan Miguel"	0.0602448
vaulter	0.0599636
"robbery suspect"	0.0593072
patriarch	0.0587539
Komura	0.0575367
Deacon	0.0575204
rabbi	0.0575098
"enlisted man"	0.0560963
cantor	0.0556583
infantryman	0.0552831
"baseball coach"	0.0552733
"chairman emeritus"	0.0546677
astrologer	0.054434
copywriter	0.0540494
"art director"	0.0534019
constable	0.0533642
welder	0.0529597
Buddha	0.052923
"police lieutenant"	0.052533
"staff sergeant"	0.0523965
Kasoulides	0.0522098
"King Hassan II"	0.0521934
seminarian	0.0520687
"belly dancer"	0.0520507
stuntman	0.0519031
alderman	0.0518353
calligrapher	0.0517779
doorman	0.0517492
newspaperman	0.051733
serviceman	0.0516117
storekeeper	0.0515734
Bhattarai	0.051385
"commanding officer"	0.0512068
Moratinos	0.0510454
Majali	0.0510194
Navajos	0.0510135
fortuneteller	0.0509499
Bostonian	0.0507278
immortal	0.0506894
nave	0.0503789
Shara	0.05033
housemate	0.0503155
Panchen	0.0502734
Seaman	0.0501725
"intelligence analyst"	0.0501026
bricklayer	0.050063
Scrooge	0.049928
widower	0.0498296
"Roy Romer"	0.0497561
"school superintendent"	0.0494828
speller	0.049404
"opera star"	0.0491348
Gaston	0.0491298
crewmembers	0.0490825
Clothier	0.0490356
"welfare worker"	0.0490085
fireman	0.0487819
"house painter"	0.0484485
rededication	0.0482075
Ruehe	0.0481467
portico	0.047841
father-in-law	0.0478333
Admiral	0.0478159
"financial officer"	0.047754
sportswriter	0.047726
"stock trader"	0.0476929
Eran	0.0476756
"second person"	0.0474626
alumnus	0.047178
Faget	0.0471579
Hrawi	0.0471462
"sea captain"	0.0470556
"school teacher"	0.0470552
subgenre	0.0469328
scoutmaster	0.0469296
optometrist	0.0469043
"spiritual leader"	0.0468329
violinist	0.046761
"mechanical engineer"	0.0465318
Alatas	0.0465204
twenty-two	0.0464819
Eizenstat	0.0464676
Pickering	0.0463966
Kurd	0.0463182
Kabariti	0.0461967
"naval officer"	0.0461937
Bolger	0.0460842
precept	0.0458939
Boueiz	0.045766
chairperson	0.0457157
houseguest	0.0455419
Stayner	0.0454857
"King Birendra"	0.0454852
"newspaper editor"	0.0453882
"law officer"	0.0451638
"executive officer"	0.0450611
Maskhadov	0.0449514
Shipman	0.0449472
Postmaster	0.0448955
"general practitioner"	0.0448795
corporal	0.0448637
triathlete	0.0448144
consul	0.0447049
agronomist	0.044688
mailman	0.0446733
breadwinner	0.0446369
"Cardinal John O'Connor"	0.0446214
"department head"	0.0444093
Ghani	0.0444037
grandiosity	0.0443592
clergyman	0.0443518
"fire chief"	0.0441992
theologian	0.0441773
"chairman of the board"	0.0440992
cabinetmaker	0.044017
cosmology	0.0439383
dowager	0.0439233
Sahnoun	0.0438629
speechwriter	0.0438586
Atlantan	0.0436597
footballer	0.0436286
seamstress	0.043477
watchman	0.0432776
Imam	0.0432731
recluse	0.0432671
"army officer"	0.0431956
"English teacher"	0.0431283
legionnaire	0.0429826
interlocutor	0.0429131
Francois	0.0428625
Dumitru	0.042812
Shayler	0.0427685
Khaddam	0.0427554
Zou	0.0427136
Xanana	0.0425457
"math teacher"	0.04247
D.J	0.0424281
herdsman	0.0422815
"heart surgeon"	0.0422476
firefighter	0.0422352
electrician	0.042015
Meguid	0.0419966
bailiff	0.0419617
visage	0.0419269
Havelange	0.0418949
crewmates	0.0418642
pontiff	0.0417487
Yemeni	0.0417112
parolee	0.0416516
pagoda	0.041592
"religious holiday"	0.0415493
Imperatori	0.0415338
"altar boy"	0.0414653
Berisha	0.0413767
Lazarenko	0.0413467
gunslinger	0.0413332
restaurateur	0.0413275
matriarch	0.0413225
custodian	0.0413119
patrolman	0.0412601
"civil engineer"	0.0412083
"hockey coach"	0.0412001
"Richard Williams"	0.0411406
Rifkind	0.0411069
urologist	0.0410851
"Honda Civic"	0.041029
zoologist	0.0409929
spinster	0.0409912
al-Hariri	0.0409848
moderator	0.0409186
"folk singer"	0.0408839
ensign	0.0408628
exterminator	0.0408386
"eye doctor"	0.0408271
LeBlanc	0.040791
shuttler	0.040716
"military leader"	0.0407155
Nacchio	0.0406727
rower	0.0406641
"probation officer"	0.0406086
passerby	0.0405411
"Abu Nidal"	0.0405198
Archbishop	0.0405141
emir	0.0404992
"lieutenant colonel"	0.0404704
))
(Abbott (desc 9120.39) (sims
Schourek	0.114385
Ankiel	0.112156
Dempster	0.110689
Gagne	0.107025
AHP	0.106176
Burkett	0.105256
Monsanto	0.104994
"J&AMP;J"	0.104791
Pfizer	0.104542
Daal	0.102408
Leiter	0.101191
Dreifort	0.100939
Genentech	0.100373
Nagy	0.100103
Finley	0.0998943
Yoshii	0.0996572
Amgen	0.0993482
Roche	0.0983246
Perez	0.0980138
Zimmerman	0.0978964
Schoeneweis	0.0977188
"American Home Products"	0.0973767
Warner-Lambert	0.0969921
Isringhausen	0.0968349
Valdes	0.0965792
Mercker	0.0960592
Millwood	0.0954182
Schering-Plough	0.0954177
Belcher	0.0952422
"American Home"	0.0951979
Rusch	0.0948448
Radke	0.0945715
"P&AMP;G"	0.093835
Emulex	0.0933159
NiSource	0.0932864
Woodard	0.0929782
Remlinger	0.0928274
Sele	0.0927456
Aetna	0.0923801
Helling	0.0920084
Gardner	0.091195
Bestfoods	0.0911891
Gooden	0.0911356
Bohanon	0.0908866
"Johnson &AMP; Johnson"	0.0905898
Genzyme	0.0900309
Fassero	0.0886359
Mahomes	0.0885036
Elarton	0.0884851
ALZA	0.0884001
Benes	0.088264
TYCO	0.0881986
Gillette	0.0880976
Erickson	0.0878878
Appier	0.0878213
"Abbott Laboratories"	0.0873332
Harnisch	0.0871313
singleton	0.0867786
Bottenfield	0.0867036
Raytheon	0.0861752
Merck	0.0860091
Schilling	0.0855149
Oliver	0.0846428
GANNETT	0.0841512
Neagle	0.0840311
EMC	0.0836757
Smoltz	0.0835651
Fernandez	0.0832183
Reynoso	0.0831672
Hershiser	0.0830143
Eldred	0.0829826
Litton	0.0827677
Moyer	0.0826876
Anderson	0.0823392
Lilly	0.0819602
"Jesus Sanchez"	0.0813428
Biogen	0.0810565
Cendant	0.0809829
Stottlemyre	0.0808268
Compaq	0.0806866
Dickson	0.0804399
Reynolds	0.0804356
Petkovsek	0.0801592
Novartis	0.0800665
Haynes	0.0798822
Yarnall	0.0797219
Heredia	0.0795659
Wells	0.0795123
Wyeth-Ayerst	0.0795073
Ortiz	0.0793545
"Russ Ortiz"	0.079179
Glavine	0.079148
Wohlers	0.0791106
"Glaxo Wellcome"	0.0790441
"Philip Morris"	0.0789766
RJR	0.0789445
Bristol-Myers	0.0788594
Saberhagen	0.0787293
Gilkey	0.0785739
SmithKline	0.0783792
"Eli Lilly"	0.0783728
WPP	0.0781903
"Ocean Spray"	0.0781565
Pearson	0.078156
Trachsel	0.0780807
Chiron	0.0780568
"Thermo Electron"	0.0780124
Bere	0.077979
Pettitte	0.0778981
Maddux	0.0778106
Avery	0.0776183
Kile	0.0774832
dale	0.0773738
Ripken	0.0773386
Meche	0.0771731
Perisho	0.0771577
"Gil Heredia"	0.0771012
Rueter	0.0770966
"Sara Lee"	0.0768839
"Rite Aid"	0.0767715
Nomo	0.0766117
Candiotti	0.0765441
Tapani	0.0763384
Maytag	0.0763003
CMGI	0.0762578
Castillo	0.0761427
Hernandez	0.0761373
AstraZeneca	0.075786
Kellogg	0.0757389
Ciena	0.0755423
Pena	0.0754972
"Phelps Dodge"	0.0753425
Herges	0.0752973
Astacio	0.0752448
Olson	0.0752305
Sunbeam	0.0752252
"Brian Anderson"	0.075149
Granville	0.0751296
Pepsico	0.0751222
Garcia	0.0749539
"BP Amoco"	0.0749466
Halama	0.0748904
Ordonez	0.074837
Rapp	0.0744289
Olivares	0.0742652
Autodesk	0.0741234
Mattel	0.0737308
Cormier	0.073606
McKesson	0.0735478
MiniMed	0.0735232
"Brian Moehler"	0.073395
Exxon	0.0732414
Rogers	0.073193
Mendoza	0.0730049
"BRIAN MEADOWS"	0.0729617
"Terry Mulholland"	0.0728664
Johnson	0.0728102
AMR	0.0728029
"MCI WorldCom"	0.0726395
Mlicki	0.0725082
Broadcom	0.0724754
Guzman	0.0724615
Saunders	0.0724163
XYLAN	0.0723886
Martinez	0.0720639
Eaton	0.0720527
Percival	0.0718994
Healtheon	0.0718941
Hampton	0.0718889
Dotel	0.0717303
Etherton	0.0713597
Rivera	0.0713452
"Bank of Scotland"	0.0712226
"Chuck Finley"	0.0709631
Gwynn	0.0709583
"Chris Carpenter"	0.0709379
Parris	0.07085
Loaiza	0.0707197
Cisco	0.0707109
Mussina	0.0706485
"Food Lion"	0.0706223
Clark	0.0703604
Wetteland	0.0702312
Bayer	0.0701467
Hoechst	0.0699473
"Bausch &AMP; Lomb"	0.069878
NIKE	0.0698326
Federated	0.0697794
"Bristol-Myers Squibb"	0.0697753
AIG	0.0697753
Arrojo	0.0696916
Lockheed	0.0696803
Stephenson	0.0696363
Leyritz	0.0695057
Rodriguez	0.0694055
Arnold	0.0692717
Kurtz	0.069206
Gutierrez	0.0690598
"Lockheed Martin"	0.0690488
Unilever	0.0690236
))
("Abbott Laboratories" (desc 1086.23) (sims
"Pfizer Inc."	0.143481
"Lucent Technologies Inc."	0.142135
"Glaxo Wellcome"	0.141369
"Cisco Systems Inc."	0.140871
"Merck &AMP; Co."	0.137315
"Warner-Lambert Co."	0.135927
Alcatel	0.133648
"Pharmacia &AMP; Upjohn"	0.133485
"Aetna Inc."	0.133028
Denel	0.132323
Rhone-Poulenc	0.127423
Bayer	0.126986
Embraer	0.126854
Aegon	0.126324
"Bristol-Myers Squibb"	0.124801
"Eli Lilly &AMP; Co."	0.124735
Schering	0.124724
BASF	0.12318
"Hitachi Ltd."	0.122152
"American Home Products"	0.120599
"Micron Technology"	0.120453
"International Business Machines Corp."	0.117853
"Softbank Corp."	0.117345
"EMC Corp."	0.116981
Autodesk	0.115558
"American Family Publishers"	0.115208
Searle	0.114076
"Johnson &AMP; Johnson"	0.113713
"Northern Telecom"	0.11371
"NEC Corp."	0.110713
Roche	0.110662
"SmithKline Beecham"	0.109719
"Applied Materials"	0.109687
Novartis	0.109426
"Computer Associates"	0.109186
"SBC Communications Inc."	0.108465
"Pratt &AMP; Whitney"	0.107736
Bestfoods	0.107045
Eni	0.105697
Hasbro	0.103746
"Philip Morris Cos."	0.103459
"Monsanto Co."	0.102615
Electrolux	0.102145
Merck	0.101736
"Lockheed Martin Corp."	0.100731
"UBS AG"	0.100236
"Koch Industries"	0.100213
"Qualcomm Inc."	0.0996008
Pfizer	0.0993359
"Wyeth-Ayerst Laboratories"	0.0992212
PETROBRAS	0.0991901
"American Home Products Corp."	0.0988004
"Gannett Co."	0.0971768
Genentech	0.0971521
"R Block"	0.0971162
"Viacom Inc."	0.0962759
Nokia	0.0959838
emachines	0.0958931
Broadcom	0.0958008
"American International Group"	0.0957718
Valeo	0.0956628
bombardier	0.0955866
"WorldCom Inc."	0.0954126
"Smith &AMP; Wesson"	0.0952465
Seagate	0.0948457
"Enron Corp."	0.0947943
"Philip Morris"	0.094581
"Bertelsmann AG"	0.0944005
"Sony Corp."	0.0943409
AstraZeneca	0.0940337
Astra	0.0929247
Nestle	0.0929206
Aventis	0.0927144
"Sun Microsystems Inc."	0.0925704
"Chase Manhattan Corp."	0.0922845
Monsanto	0.0921826
Sunbeam	0.0921638
Lukoil	0.0920929
Emulex	0.0916453
Marconi	0.0915032
Philips	0.0908409
Schering-Plough	0.0907164
BNFL	0.0906002
"Con Edison"	0.0905679
Hoechst	0.0904094
"Exxon Corp."	0.0903108
Warner-Lambert	0.0901502
"Global Crossing Ltd."	0.0895354
Corel	0.0892633
Agusta	0.0887433
Unilever	0.0877883
Unisys	0.0877167
"Boeing Co."	0.0874417
"Oracle Corp."	0.0874157
Abbott	0.0873332
"Motorola Inc."	0.0869322
Symantec	0.086858
"R.J Reynolds"	0.0866528
"Allied Signal"	0.0857037
"Toshiba Corp."	0.0854618
Siemens	0.0851049
"Legend Group"	0.0845185
Houghton	0.0844833
Zeneca	0.0844227
ICBC	0.0844214
"Brown &AMP; Williamson"	0.0842691
"Reed Elsevier"	0.0837575
ING	0.0835704
Ericsson	0.0834923
Goodyear	0.0833508
TKT	0.0831156
"Nippon Telegraph"	0.0828185
Alcoa	0.0825977
Schlumberger	0.0824842
Equifax	0.0822916
"Compaq Computer Corp."	0.0822079
SFX	0.0821508
PSINet	0.0820768
"ELF AQUITAINE"	0.081559
"Northeast Utilities"	0.0814578
"Coca-Cola Co."	0.0809582
Checkfree	0.0808458
Cisco	0.0803117
"JDS Uniphase"	0.0801642
"Lockheed Martin"	0.0798717
"Livent Inc."	0.0791926
"Delphi Automotive Systems"	0.0790945
"Ask Jeeves"	0.0786305
"Procter &AMP; Gamble"	0.0784752
TYCO	0.0783484
"Comcast Corp."	0.0777331
"Lycos Inc."	0.0775928
"Levi Strauss"	0.0773139
VICKERS	0.0772057
"Hearst Corporation"	0.0770907
"Bausch &AMP; Lomb"	0.0768299
Lucasfilm	0.0767132
Heinz	0.0766567
Dupont	0.0766479
Enron	0.0764909
"Thomson Multimedia"	0.0764249
"Travelers Group"	0.0762581
Granville	0.0762314
Amgen	0.0758179
ENTREMED	0.0755681
"Diamond Multimedia"	0.0754833
"Deutsche Bank AG"	0.0754168
Sumitomo	0.0754077
"Media Partners"	0.0752147
"Nortel Networks"	0.0751248
"BellSouth Corp."	0.075034
"Cisco Systems"	0.0749389
Gilead	0.0748191
AHP	0.074618
"T Corp."	0.0745974
Raytheon	0.0745408
"Eli Lilly"	0.0742947
Lilly	0.0742892
Venables	0.0740013
"Mitsubishi Motors"	0.0739029
"American Home"	0.0738989
TRW	0.0738668
NEC	0.0736753
"Cox Communications"	0.0736377
"Lucent Technologies"	0.0736208
"Northrop Grumman"	0.0735587
ALZA	0.0734981
"Yahoo Inc."	0.0733636
Comcast	0.0732736
Pepsico	0.0731621
Changhong	0.0730593
Volkswagen	0.0729211
PLN	0.0726919
Qualcomm	0.0726007
Cargill	0.0725651
Transmeta	0.0724423
Gillette	0.0724018
Informix	0.0723136
"Universal Music Group"	0.0720184
"Ameritech Corp."	0.0717516
"Seagram Co."	0.0717086
"Tele-Communications Inc."	0.0715727
AXA	0.0712581
SNCF	0.0712316
"True North"	0.071008
DoubleClick	0.0709596
RealNetworks	0.0709119
"Network Solutions"	0.0707151
NTL	0.0706843
Danka	0.0705476
"Real Networks"	0.0704301
YPF	0.0704177
"Symantec Corp."	0.0700009
"Dow Corning"	0.0699762
Genzyme	0.0699441
Akamai	0.0698688
"Network Associates"	0.0698637
"Royal Dutch/Shell"	0.0698106
"General Electric"	0.0696006
SMG	0.0694055
))
(abbreviation (desc 5545.05) (sims
acronym	0.13462
initial	0.0934592
pronunciation	0.0595827
slang	0.0594833
identifier	0.0566766
jargon	0.0553372
adjective	0.0543875
shorthand	0.053694
pun	0.0506986
"word meaning"	0.050478
proverb	0.0502342
"teaching method"	0.0496947
"mechanical device"	0.0458451
moniker	0.0458185
terminology	0.0457543
"computer language"	0.0456693
synonym	0.0455538
"three words"	0.0452175
euphemism	0.0450434
gimmickry	0.0447218
SNPs	0.0447107
"El Mundo"	0.0443243
"Koha Ditore"	0.0442637
misspelling	0.0440985
spelling	0.0438963
nonevent	0.0431382
suffix	0.042584
"American plan"	0.0425014
"hard drug"	0.0421206
grammar	0.0400565
))
(Abby (desc 1268.83) (sims
Desmond	0.0962677
Eli	0.090664
"Dee Dee"	0.0901696
Juli	0.0825331
Diane	0.0789387
Susie	0.0762212
Julie	0.0748556
"Chelsea Clinton"	0.0740682
ANN	0.0733837
"Golden Bear"	0.0721009
Eileen	0.0713712
imp	0.0712548
Emma	0.0668979
"Rod Thorn"	0.0665227
Edith	0.0662995
fifth-grader	0.0661489
Scrooge	0.0652883
Lindy	0.0650335
Christy	0.063816
Rachel	0.0633305
Amanda	0.0628325
Jessica	0.0627832
Momma	0.0621486
Susann	0.0613982
Sasha	0.0611083
Melanie	0.061021
Karenna	0.0604581
Presley	0.0601862
Jill	0.0599095
"Desert Fox"	0.0595549
Nora	0.0595184
Meg	0.0594582
"Colin Campbell"	0.0592833
Sylvia	0.0588359
"NZ First"	0.0583507
Meredith	0.057842
Adele	0.0577911
hermit	0.0562223
Nicky	0.0559884
Jenna	0.0558503
Chloe	0.0553655
Toni	0.0550895
patsy	0.0550459
Lydia	0.0544645
Angelica	0.0544609
"Elgin Baylor"	0.0536296
sixth-graders	0.0529009
Gehrig	0.0527545
Sonia	0.0525262
P.J	0.0525128
Emily	0.0523912
Ileto	0.051972
Erin	0.0518039
Ginsberg	0.0517654
Kenny	0.0509632
Johanna	0.0508585
Katie	0.0502989
Doris	0.0502249
Beatrice	0.0500568
Natalie	0.049947
Wolfson	0.0495853
CMA	0.0495621
parolee	0.0495457
Welty	0.0493905
Deborah	0.0491824
Perrot	0.0491629
Andrea	0.0487666
Sheryl	0.0484359
Jennifer	0.0484296
POLK	0.0483815
Alexandra	0.0483679
Martina	0.0481909
Millie	0.0481495
Laurie	0.0480421
Boles	0.048032
Burleigh	0.0479628
Stephanie	0.0477003
Mona	0.0474258
Polly	0.0474036
"Karenna Gore Schiff"	0.047221
Donna	0.0471648
Beckwith	0.0470585
tailwind	0.0468147
McWilliams	0.046641
Congeniality	0.0465668
Whipple	0.046521
Percy	0.0462736
Englishwoman	0.0462158
Bessie	0.0458687
Costin	0.0458515
Karan	0.0456947
derrick	0.0456802
Anne	0.0455963
Stella	0.0453013
Kimberly	0.0450962
Gilead	0.0449947
colleen	0.0448559
Megan	0.0447683
"Edgar Allan Poe"	0.0446688
Moxley	0.0444895
"Gertrude Stein"	0.0443284
"Sherlock Holmes"	0.0441703
Drexel	0.0441067
Anton	0.0439512
Galliano	0.0439098
Lyn	0.0437937
Marisleysis	0.0437232
Atler	0.043386
Cullen	0.0433162
Edwin	0.0430821
Esther	0.0428794
Shirley	0.0426981
Whitney	0.0426823
Lauren	0.0426727
Samantha	0.0425765
Lamberth	0.042541
DERSHOWITZ	0.0424439
Nebiolo	0.0424261
Herrera	0.0424241
Alderson	0.0424126
midshipmen	0.0424125
Manners	0.0423138
Holley	0.0423029
transvestite	0.042302
Dandridge	0.0422945
Nasrallah	0.042284
madame	0.0422596
Bryson	0.042141
Brazile	0.0420694
dahlia	0.0419577
Mimi	0.0419521
LaPierre	0.0417547
Oswald	0.0417344
"Food Lion"	0.0416588
Grinch	0.0415804
granger	0.0415796
Sade	0.041463
parachutist	0.0414625
Ehrlichman	0.0413488
Shevardnadze	0.0411081
Marie	0.0410329
Karpov	0.0409069
Felton	0.04077
Meggett	0.0407502
"Elia Kazan"	0.0405606
"young person"	0.0405498
"RM@@,@@@"	0.0405246
"shipwreck survivor"	0.0404938
Gullikson	0.0404378
Frick	0.0403994
"Vision @@@@"	0.0403979
"Little Dog"	0.040357
Groucho	0.0402988
Sahadi	0.0402983
Biko	0.0402906
Kate	0.0401747
Schulz	0.040078
Castaneda	0.0400644
Sean	0.0400247
))
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"Michael Murphy"	0.138119
"Carter Eskew"	0.113841
"Karl Rove"	0.113091
"Mike Murphy"	0.109944
"John Weaver"	0.107864
"Lee Atwater"	0.097588
"Ralph Reed"	0.0901905
"Bob Shrum"	0.0883068
"Paul Begala"	0.0875677
"Frank Luntz"	0.0844882
"Richard Hatch"	0.08436
Ruehe	0.0792695
"James Carville"	0.0790885
"Dick Morris"	0.0780642
"Karen Hughes"	0.07577
"Esther Dyson"	0.0734181
Cohen	0.0681532
"David Smith"	0.0677654
co-chairman	0.0654223
"Larry Sabato"	0.0624545
Singson	0.062207
Rodionov	0.0617938
Ikimi	0.0617653
"market strategist"	0.0610039
Scharping	0.060953
Fernandes	0.0605642
Hybl	0.0605517
cochairman	0.0586618
Tsang	0.0556235
Guterres	0.0548428
"Paul Johnson"	0.0533994
"William Kristol"	0.053065
"Cindy McCain"	0.0529021
"Mary Matalin"	0.0523969
"Celinda Lake"	0.0520377
Granic	0.0518079
Lundy	0.0516416
"Emanuel Steward"	0.0513942
"Robert Aventajado"	0.0513926
astrologer	0.0505966
Aventajado	0.0505602
Ciampi	0.0504736
"Richard Strauss"	0.0504375
Margolis	0.0503976
Shareh	0.0499904
Shamshad	0.0495624
forecaster	0.0493865
Tuttle	0.0492714
"William S. Cohen"	0.0489973
Rifkind	0.048843
"Financial Supervisory Agency"	0.048761
Merrill	0.0486346
Gravano	0.0485417
Koskinen	0.0483336
"William Daley"	0.0482412
"Martin McGuinness"	0.0480127
Rudman	0.0478301
Mandelson	0.0477022
seer	0.0476845
Nakata	0.0473819
Daft	0.0473061
Kobayashi	0.0470765
"Harold Ickes"	0.0470751
Meguid	0.0470078
Kasoulides	0.0465018
Cem	0.0464903
Zuma	0.0462969
Masire	0.0462902
"Dan O'Brien"	0.0460493
"Isiah Thomas"	0.0457118
"Frank Jobe"	0.0455684
Rossotti	0.0454983
Pryor	0.0454763
Beazley	0.0454262
Insulza	0.0452876
Anand	0.0451732
Grasso	0.0449555
Waigel	0.0448575
Kono	0.0448323
Juma	0.044704
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Coen	0.0444071
Alatas	0.0442838
Pickering	0.044151
Koirala	0.0440226
Brundtland	0.0439857
"technology analyst"	0.0435605
"de Charette"	0.0434788
"John Taylor"	0.0430167
Harmoko	0.0429815
Ruggiero	0.0429644
"De Soto"	0.042849
"investment house"	0.0426845
Azad	0.0426414
Fraga	0.0426373
Condit	0.0425466
Quintana	0.0425276
Constantinescu	0.0425262
Swanson	0.0423707
"Michel Camdessus"	0.0423401
Beilin	0.0421872
Jayakumar	0.0421535
Talebi	0.0419597
Aguirre	0.0417074
Pyle	0.041668
"Bill Walsh"	0.0416367
Lindland	0.0415941
"Peter Mandelson"	0.0415639
Wolfson	0.0413947
"Doc Rivers"	0.0413741
Komura	0.0413206
"Joe Morgan"	0.0413127
"Warren Buffett"	0.0412854
"Laura Bush"	0.0412001
Barbour	0.0410355
exec	0.041017
Kyprianou	0.0409347
Boueiz	0.0408828
Pustovoitenko	0.0407979
Kabariti	0.040786
Tarawneh	0.0407633
"Don Young"	0.0407418
Abdel-Meguid	0.040725
Prueher	0.0406099
Velayati	0.0405817
LaBella	0.0405759
Bruton	0.0405656
Katsav	0.04048
Juppe	0.0404238
Camdessus	0.0403709
"Kenneth Clarke"	0.0402776
Vasile	0.0402335
Banzer	0.0401683
Gartner	0.0400475
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CBs	0.289113
NBC	0.280529
Fox	0.201816
ESPN	0.19659
CNN	0.183619
HBO	0.173875
ABC-TV	0.172413
PBS	0.163582
"ABC News"	0.162506
UPN	0.161065
MSNBC	0.150566
WB	0.148327
CNBC	0.144945
Nickelodeon	0.139488
network	0.138805
Showtime	0.134656
MTV	0.133995
BBC	0.131696
TNT	0.12763
C-Span	0.124565
"Channel @"	0.122124
ESPN@	0.12174
television	0.119338
TV	0.117172
"cable network"	0.116851
"Comedy Central"	0.114963
"television network"	0.113305
"Fox Sports Net"	0.109663
TNN	0.109052
"Fox News Channel"	0.107845
VH@	0.106742
"Fox News"	0.105565
Disney	0.104221
Univision	0.102745
"ABC Sports"	0.10184
"National Public Radio"	0.10116
"television station"	0.100482
"British Broadcasting Corp."	0.100434
"Good Morning America"	0.0968463
channel	0.0968291
"Pax TV"	0.0932106
"NBC News"	0.0915701
"Warner Bros."	0.088835
"Court TV"	0.0882792
"CBS News"	0.0875492
station	0.0873426
"Time Warner"	0.087303
"TV network"	0.0865547
"Dateline NBC"	0.085829
"Fox Sports"	0.0837819
"radio station"	0.0822712
Nightline	0.0815301
"news program"	0.0795576
"TV station"	0.0791346
NTV	0.0782134
NHK	0.077805
paramount	0.0765515
"Channel @@"	0.0757437
"Night Football"	0.0757007
"Discovery Channel"	0.0756646
Microsoft	0.0753593
"History Channel"	0.0752223
Televisa	0.0750159
"Warner Brothers"	0.0749384
broadcast	0.0742817
radio	0.0738706
Tb	0.0736134
PAX	0.0734655
"cable television"	0.0732976
cable	0.0728724
studio	0.0727905
Miramax	0.0727742
"Cable News Network"	0.0717327
"prime time"	0.070815
universal	0.0707624
Viacom	0.0698973
IBM	0.0695354
"Time Inc."	0.0695144
"Turner Broadcasting"	0.0690648
"Los Angeles Times"	0.0680312
"Walt Disney Co."	0.0678736
Newsweek	0.0677805
NPR	0.0674035
company	0.067397
"China Central Television"	0.0662207
sitcom	0.0661865
"Associated Press"	0.0658094
e	0.0658011
affiliate	0.065605
er	0.0655402
GM	0.0646007
"Conde Nast"	0.0641315
Sony	0.0639651
"news show"	0.0635265
"Washington Post"	0.0633639
"talk show"	0.0632994
Boeing	0.0632227
AOL	0.0628719
magazine	0.0627482
"New York Times"	0.0620535
newspaper	0.0620312
airline	0.0608357
"News Corp."	0.0608249
turner	0.0608005
MGM	0.0604256
"Weather Channel"	0.0601977
"American Airlines"	0.0599419
Coca-Cola	0.0595193
"television news"	0.0593636
NASA	0.0592839
Frasier	0.0587483
NIKE	0.0585889
Times	0.0583873
"Wall Street Journal"	0.0581304
"America Online"	0.0580968
newscast	0.0577166
"television show"	0.0577043
league	0.0576762
"Walt Disney"	0.0576678
NBA	0.0576631
"USA TODAY"	0.0571216
NFL	0.0569931
Lycos	0.0568122
Intel	0.0567035
Telecast	0.0566328
BellSouth	0.0566037
DreamWorks	0.0564256
"Ally McBeal"	0.0562954
"Justice Department"	0.0561486
"NYPD Blue"	0.056054
"Philip Morris"	0.0559208
Reuters	0.0556574
WWF	0.0555602
DaimlerChrysler	0.0550857
news	0.055029
Ford	0.0549418
Cisco	0.054804
Ge	0.0547924
Compaq	0.0547545
firm	0.0547192
NASCAR	0.0546919
"Bell Atlantic"	0.0543086
baseball	0.0541904
DirecTV	0.0541537
"game show"	0.0541347
"General Electric"	0.0539995
Cablevision	0.0536705
"Microsoft Corp."	0.0536209
"television program"	0.0535263
Bush	0.0535224
"General Motors"	0.053374
bank	0.0522726
"federal government"	0.052248
"Ford Motor Co."	0.0521309
series	0.0520598
Hearst	0.0519058
Kraft	0.0516452
dodger	0.0514621
Letterman	0.0511908
"TV show"	0.0508486
Tuesdays	0.0508152
programming	0.0508117
"Boston Globe"	0.0507842
"Night Live"	0.0507472
"Sports Illustrated"	0.0506815
Sunday	0.0504712
Lakers	0.0503131
"United Airlines"	0.0500019
millionaire	0.0497747
agency	0.0497135
broadcaster	0.0496413
Sundays	0.0495869
Simpsons	0.0494943
corporation	0.0494483
Citigroup	0.0494357
Dell	0.0494284
"General Motors Corp."	0.0491246
employer	0.0489704
club	0.0489336
delta	0.0487373
INS	0.048734
Chrysler	0.0486964
gore	0.0486643
Forbes	0.048622
Aetna	0.0485676
t	0.0482228
"Big Brother"	0.0480731
Motorola	0.0480411
"MCI WorldCom"	0.0480206
"Bank of America"	0.0478413
special	0.0477474
"White House"	0.047736
X-Files	0.0477095
Columbia	0.047553
CNET	0.0475411
movie	0.0475259
Pentagon	0.0472353
night	0.0472307
Monsanto	0.0471831
Felicity	0.0471735
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"NBC News"	0.210344
ABC-TV	0.16759
CNN	0.166711
"Fox News"	0.166695
ABC	0.162506
"Los Angeles Times"	0.160796
"CBS Sports"	0.153301
"Washington Post"	0.147402
Newsweek	0.14621
"USA TODAY"	0.143404
"Fox Sports"	0.139841
BBC	0.136823
"National Public Radio"	0.132422
"Wall Street Journal"	0.130604
"British Broadcasting Corp."	0.129841
"United Press International"	0.127598
"ABC Sports"	0.126754
"Associated Press"	0.11894
CNBC	0.118554
ESPN	0.117721
Gallup	0.116842
CBs	0.116543
NBC	0.113695
"New York Times"	0.112449
MSNBC	0.111644
"Des Moines Register"	0.109772
"Dow Jones Newswires"	0.107669
"Washington Times"	0.107296
"Voice of America"	0.103878
"Cable News Network"	0.101719
Reuters	0.10139
"Arizona Republic"	0.101289
"Pew Research Center"	0.10019
"Miami Herald"	0.0985091
"Radio Liberty"	0.0981449
"Chicago Tribune"	0.0975229
"Boston Herald"	0.0973748
"Fox News Channel"	0.0965406
"Boston Globe"	0.0952518
"Time Inc."	0.094893
"New York Daily News"	0.0948554
"Court TV"	0.0942919
"Turner Sports"	0.0936239
Izvestia	0.0935541
"Bloomberg News"	0.0933156
Haaretz	0.0928778
"Dallas Morning News"	0.0914776
"San Antonio Express-News"	0.0912385
PBS	0.0905822
"television network"	0.0904802
"Kansas City Star"	0.089745
Newsday	0.0895514
CNN/SI	0.087589
Times	0.0875136
IRNA	0.0870266
"Dateline NBC"	0.0863773
CBS-TV	0.0851202
MTV	0.0848149
"Seattle Times"	0.0847503
"San Jose Mercury News"	0.0832022
"Voter News Service"	0.0831467
Post-Intelligencer	0.083062
"Daily News"	0.0829327
"St. Louis Post-Dispatch"	0.0820465
"Cincinnati Enquirer"	0.081328
"Detroit News"	0.0811878
UPI	0.0805576
Nightline	0.0800509
"Seattle Post-Intelligencer"	0.0798988
"Sports Illustrated"	0.0782505
"San Francisco Examiner"	0.0779859
"Cox Newspapers"	0.0776368
"Xinhua News Agency"	0.0773585
ABCNews.com	0.0771388
"Good Morning America"	0.0769405
"Discovery Channel"	0.0758597
"Conde Nast"	0.0755485
"New York Post"	0.0750757
"Asahi Shimbun"	0.074969
"U.S. News"	0.0743033
"Channel @"	0.0741264
"Philadelphia Inquirer"	0.0737141
"First Call/Thomson Financial"	0.0734507
Fox	0.0733874
"Census Bureau"	0.0730778
"Atlantic Monthly"	0.0730474
WGBH	0.0726207
"Chicago Sun-Times"	0.0724067
"television station"	0.0723171
"Atlanta Journal-Constitution"	0.0717506
C-Span	0.0717085
"Denver Post"	0.0716605
"World Report"	0.0716362
"Financial Times"	0.0715921
VH@	0.071456
"TV network"	0.0712779
"Fox Sports News"	0.0709871
"New York Times Co."	0.0709675
"Houston Chronicle"	0.0708212
"Fox Sports Net"	0.0702049
NPR	0.0701055
HBO	0.0698955
"Comedy Central"	0.0697621
CBC	0.069373
"Kaiser Family Foundation"	0.0693188
"Turner Broadcasting"	0.0693037
"Securities Industry Association"	0.0690146
"Republican National Committee"	0.0683853
Star-Ledger	0.0678992
"British Broadcasting Corporation"	0.0677383
"Der Spiegel"	0.0674193
"Orange County Register"	0.0673784
"National Republican Congressional Committee"	0.0673458
"Jerusalem Post"	0.0663901
Nickelodeon	0.0661177
Reforma	0.0657403
Televisa	0.0654787
CNNfn	0.0654212
"CBS SportsLine"	0.0643138
"Handgun Control"	0.0643011
"Lincoln Center Theater"	0.0635377
ESPN.com	0.0634334
"Australian Olympic Committee"	0.0632456
"El Pais"	0.0632066
"U.S. Agriculture Department"	0.0631388
globe	0.06289
"Handgun Control Inc."	0.0628293
TNN	0.0624963
Maariv	0.0623844
CNET	0.0621739
"New York Herald Tribune"	0.0617612
CCTV	0.0611923
"Hearst Newspapers"	0.0610712
"news program"	0.0609152
"Cuban American National Foundation"	0.0608342
"Entertainment Weekly"	0.0606374
"American Petroleum Institute"	0.0605723
TNT	0.0604552
"Common Cause"	0.060414
"Dow Jones"	0.0598631
Miramax	0.0597504
"Walt Disney Co."	0.0593819
Inquirer	0.0586591
"Chase Manhattan Bank"	0.0586274
Corp.	0.0585703
"Dayton Daily News"	0.0584251
"Gartner Group"	0.0581854
"National Association of Manufacturers"	0.0579641
"Texas Department of Public Safety"	0.0579061
"Israel Radio"	0.0578586
IMG	0.0575041
Sotheby's	0.0572155
"Health Department"	0.0570885
"U.S. Chamber of Commerce"	0.0570679
"American Association of Retired Persons"	0.0570673
chronicle	0.0570253
"Warner Brothers"	0.0569454
"Fox TV"	0.0568625
"Business Week"	0.0568334
Eurostat	0.0563988
"Department of Health and Human Services"	0.0563311
tribune	0.0562731
Showtime	0.0562648
"Office of Management and Budget"	0.0561743
"Warner Bros."	0.056051
"Times Co."	0.0553321
Antara	0.055309
"Today Show"	0.0550005
"Kraft Foods"	0.0549348
"Treasury Department"	0.0549073
"Salt Lake Organizing Committee"	0.0548691
AFL-CIO	0.0548491
"Australian Bureau of Statistics"	0.0548096
"TV guide"	0.0548019
"TV station"	0.0547745
"U.S. Soccer Federation"	0.0546411
CTV	0.054415
"Urban League"	0.0544128
SSB	0.0543995
"P&AMP;G"	0.0543022
"National Federation"	0.0540383
"radio station"	0.0539055
"Commerce Department"	0.0537888
"Time Warner"	0.0537589
"television news"	0.0537208
"Department of Education"	0.05368
"advertising agency"	0.053533
"Department of Commerce"	0.0534465
"Le Monde"	0.0533147
AARP	0.0532619
"Detroit Free Press"	0.0530287
MLB	0.0530039
"Freedom Forum"	0.0528747
"New York Observer"	0.0528101
"Disney Channel"	0.0526045
"San Francisco Chronicle"	0.0525409
"National Marine Fisheries Service"	0.0523508
TheStreet.com	0.0522886
Star-Telegram	0.0522819
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"Turner Sports"	0.187171
"Fox Sports"	0.168352
"NBC News"	0.143719
"U.S. Soccer Federation"	0.128281
"ABC News"	0.126754
TNN	0.121839
CNOOC	0.117332
MLB	0.116241
NARAL	0.109585
"American Association of Health Plans"	0.109028
"National Association of Broadcasters"	0.108056
"Columbia Pictures"	0.105683
CNPC	0.105396
"U.S. Chamber of Commerce"	0.103933
"Handgun Control Inc."	0.101282
"Allied Pilots Association"	0.100145
"Motion Picture Association of America"	0.0974741
"Fox Sports Net"	0.0973464
"Communications Workers of America"	0.0960761
"Securities Industry Association"	0.0955465
IMG	0.0954524
"Main Events"	0.0953149
"Labor office"	0.0951421
"Sydney Organizing Committee"	0.0950807
"CBS News"	0.0934488
OCA	0.0920698
"Comedy Central"	0.0920016
CRI	0.0912987
ESPN	0.0902022
"Turner Broadcasting"	0.0896992
CCB	0.0880022
"Russian Space Agency"	0.0872307
CNNfn	0.0870311
CBC	0.0869105
IAI	0.0868164
"Australian Olympic Committee"	0.0867075
"Family Research Council"	0.0865791
Nickelodeon	0.085974
"Urban League"	0.085068
"Handgun Control"	0.0841578
"Fox Sports News"	0.083821
AOC	0.0835446
HKMA	0.0811895
"Time Inc."	0.0811611
"Department of Public Safety"	0.0811104
"Board of Elections"	0.0810389
"Wine Institute"	0.0809435
"National Association of Manufacturers"	0.0806758
"Association of Flight Attendants"	0.0806099
AHP	0.0802542
"Common Cause"	0.0796838
"Radio City"	0.0787264
SSB	0.0785052
TNT	0.0777743
"Salt Lake Organizing Committee"	0.0762172
"American Red Cross"	0.0756806
"Screen Actors Guild"	0.075427
Eximbank	0.0743784
"Consumers Union"	0.0743368
"International Amateur Athletic Federation"	0.0743095
VH@	0.074285
"Dateline NBC"	0.0740353
CPAFFC	0.0739038
CMA	0.0737863
"Fox News Channel"	0.0737771
Showtime	0.0737322
Wyeth-Ayerst	0.0737024
BSA	0.0736166
IMS	0.0735035
UCI	0.0733155
Sinopec	0.0733115
PBS	0.0729347
"Democratic Congressional Campaign Committee"	0.0727694
"Time Warner Cable"	0.0727474
"Con Ed"	0.0716839
CUC	0.071643
"Board of Supervisors"	0.0713655
"Department of Corrections"	0.0712544
"British Broadcasting Corp."	0.071224
"Kraft Foods"	0.071081
CCPIT	0.0710085
DLC	0.0709847
"Air Line Pilots Association"	0.070692
"Levi Strauss"	0.0703026
"International Tennis Federation"	0.0700858
MSNBC	0.0700779
UMNO	0.069961
ICBC	0.0699496
ADM	0.0695968
"EU Commission"	0.0695207
CWA	0.0695193
"American Heart Association"	0.0694177
Overnite	0.0693716
"BancBoston Robertson Stephens"	0.0693027
"Mission Control"	0.0691811
"Court TV"	0.0688628
"Koch Industries"	0.0688569
"National Abortion and Reproductive Rights Action League"	0.0688031
Xerox	0.0686693
Massport	0.0686067
"Colonial Williamsburg"	0.0684068
"William Morris"	0.0680485
"Texas Department of Health"	0.0678315
"Israeli Army"	0.0677432
"Olympic Council of Asia"	0.0676324
ARATS	0.0675348
"U.S. Olympic Committee"	0.067482
"U.S. Immigration and Naturalization Service"	0.0673277
FIVB	0.0673244
CCTV	0.0669295
DirecTV	0.0666078
USATF	0.0665855
UFW	0.0664518
"Hearst Corp."	0.0661912
PaineWebber	0.0660725
"Yankee Group"	0.0660675
NCR	0.0660488
teamster	0.0657872
Botswanan	0.0657265
SDB	0.065717
WGBH	0.0656492
"French Foreign Ministry"	0.0655652
UPN	0.0650332
"Warner Bros"	0.0649526
"Night Football"	0.0649421
"American Petroleum Institute"	0.0648414
DFB	0.0645767
"National Urban League"	0.064475
"Port Authority"	0.0644528
ACOG	0.0643096
CNBC	0.0641517
Sotheby's	0.0639569
NTRA	0.0639416
"Mormon Church"	0.0637346
Genzyme	0.0634525
Tauzin	0.0634197
"National Republican Congressional Committee"	0.0633894
SLOC	0.0633538
C-Span	0.0632597
"Texas Department of Public Safety"	0.063127
"Iranian Foreign Ministry"	0.0630967
"International Ski Federation"	0.0630959
RRA	0.0630911
NKP	0.0625388
"Airport Authority"	0.0624691
"Federal Reserve Bank"	0.0624575
Mattel	0.0623153
IAAF	0.0622447
"Con Edison"	0.0620462
HBO	0.0619635
"Business Council"	0.0619624
"Universal Pictures"	0.0619142
"New Korea Party"	0.0618587
SCLC	0.0617753
"Columbia Records"	0.0616187
"Hearst Magazines"	0.0614653
FIBA	0.061443
UGA	0.0614315
"Defense Agency"	0.0614306
"Sprint PCS"	0.0614132
"Radio Free Asia"	0.0613501
"Football Association"	0.0611384
"Bureau of Indian Affairs"	0.0610754
USGA	0.0610737
"Hendrick Motorsports"	0.0607923
"Paine Webber"	0.0607502
"United Steelworkers"	0.0606554
EBRD	0.0606357
"National Education Association"	0.060589
"Walt Disney Co."	0.0603369
Sutter	0.0602957
"New Jersey State Police"	0.0601421
"Medical Society"	0.0601334
"Players Association"	0.0601222
"Air Transport Association"	0.0601059
"Cox Communications"	0.0600479
"National Trust"	0.0599856
"Chinese Olympic Committee"	0.0599691
"National Rifle Association"	0.0599537
"Merrill Lynch &AMP; Co."	0.0596488
Starwood	0.0595311
"Golf Channel"	0.059529
CITIC	0.0593087
"R.J Reynolds"	0.0592621
"Local @@"	0.0592152
MPAA	0.0591586
SPC	0.0591471
ESPN@	0.0590747
FDIC	0.0590685
"Morgan Stanley"	0.0590007
"Goldman, Sachs &AMP; Co."	0.0589696
"National Council of La Raza"	0.0589582
NRA	0.058913
"Southern Command"	0.0587317
"Prudential Securities"	0.0586329
"Thermo Electron"	0.0584053
SOCOG	0.058354
"Chase Manhattan Bank"	0.0582574
"Israeli Foreign Ministry"	0.0582276
))
(ABC-TV (desc 2579.54) (sims
CBS-TV	0.240084
NBC-TV	0.205052
ABC	0.172413
"ABC News"	0.16759
"Fox TV"	0.143361
"Dateline NBC"	0.130644
"USA Network"	0.112604
CBs	0.102067
"National Public Radio"	0.100963
"British Broadcasting Corp."	0.100818
"Food Network"	0.100009
BBC	0.0976284
APTN	0.0966622
TNT	0.0958986
"Fox News Channel"	0.0951886
"Comedy Central"	0.0890558
C-Span	0.0869336
hourlong	0.0850916
Nightline	0.0829793
NPR	0.0793221
"Late Edition"	0.0783384
UPN	0.077456
PBS	0.0755686
"Good Morning America"	0.0749825
"NBC News"	0.0738752
"Cable News Network"	0.0734081
Showtime	0.0723708
HBO	0.0716959
"television news"	0.0712883
VH@	0.0712802
"TV network"	0.070512
CBC	0.0694351
MSNBC	0.0692458
MTV	0.0688493
"Nashville Network"	0.0676373
"History Channel"	0.0673596
primetime	0.0666744
"Discovery Channel"	0.0657497
newsmagazine	0.0654756
"Lethal Weapon"	0.0654703
Walters	0.064443
CNBC	0.0643787
Nickelodeon	0.0638944
"Larry King Live"	0.0638589
"Fox Network"	0.0637556
CNN/SI	0.0633478
"Turner Classic Movies"	0.0628151
ESPN@	0.0627242
bravo	0.0615496
"Fox News"	0.0610239
"Court TV"	0.060086
"Pax TV"	0.0591548
"Entertainment Tonight"	0.0590001
"CBS News"	0.0589156
"Today Show"	0.058566
APTV	0.0581317
one-hour	0.0580185
VH-@	0.0578221
Spiegel	0.0577733
NTV	0.0570658
WB	0.0569009
"Channel @"	0.0565528
Porno	0.0552837
Pacifica	0.0535385
"Barbara Walters"	0.0527061
"Channel @@"	0.051962
made-for-TV	0.0518853
eight-minute	0.0510285
"Fox Sports Net"	0.0506892
"news program"	0.0505081
"Ted Koppel"	0.0503062
"this @@@@"	0.0499687
two-hour	0.0499014
Univision	0.0498604
"Voice of America"	0.0496719
"Radio Liberty"	0.0488558
Tarantino	0.0487152
"Sesame Street"	0.0486243
Post-Intelligencer	0.047692
UPI	0.047052
"Geraldo Rivera"	0.0468206
SSB	0.0464556
"China Central Television"	0.0456529
"Indiana Jones"	0.0446056
slasher	0.0443615
Telemundo	0.044156
"Tonight Show"	0.0438275
"Israel Radio"	0.0437421
Izvestia	0.0437101
"El Pais"	0.0436911
"cable television"	0.0436505
Lehrer	0.0434595
"Don Imus"	0.0431965
"Disney Channel"	0.0431254
"Larry King"	0.0427371
APA	0.0417518
"Fox Sports"	0.0417227
"Golf Channel"	0.0415568
"Early Show"	0.0411567
"Night Football"	0.0408788
Forrester	0.0406271
"Cartoon Network"	0.0405862
Nickerson	0.0405448
UAM	0.0404026
"Ingmar Bergman"	0.0403549
quickie	0.0403548
iTV	0.0403218
Letterman	0.04003
))
(ABCNews.com (desc 1881.16) (sims
MSNBC.com	0.261199
"CBS SportsLine"	0.159416
CNN.com	0.13908
CNN/SI	0.136645
ESPN.com	0.127362
"Fox News Channel"	0.113313
Travelocity	0.101961
"Fox News"	0.101292
Buy.com	0.0906625
snap.com	0.0880218
"ABC News"	0.0771388
"Alta Vista"	0.077035
"Court TV"	0.0756803
TheStreet.com	0.0751969
"Go Network"	0.0731205
"NBC News"	0.0727577
"New York Times Co."	0.0719405
"Applied Materials"	0.0702647
CNET	0.0691563
"American Bankers Association"	0.067596
MSNBC	0.0672768
iVillage	0.0668866
"Netscape Communications"	0.0643015
"Amazon.com Inc."	0.0641448
CNNfn	0.0640495
CNBC	0.0621487
DrKoop.com	0.0614992
"Dow Jones &AMP; Co."	0.0614444
Priceline.com	0.0611976
C-Span	0.0610985
"Real Networks"	0.0609078
Newsweek	0.0608486
"Los Angeles Times"	0.060516
"USA TODAY"	0.0599579
"Raging Bull"	0.0592253
usability	0.0590139
"MindSpring Enterprises"	0.0582682
ZDNet	0.05762
"St. Louis Post-Dispatch"	0.0562345
"Southern Co."	0.0547144
GeoCities	0.0544328
"Discovery Channel"	0.0531262
MSN	0.0529305
"San Jose Mercury News"	0.0519564
"Securities Industry Association"	0.0517463
AltaVista	0.051533
Hotmail	0.0505173
ExciteAtHome	0.050213
Newsday	0.0501452
Infoseek	0.0500857
"Chevron Corp."	0.0500163
Checkfree	0.0499049
"Knight Ridder"	0.049867
"National Public Radio"	0.0498177
showbiz	0.0492607
MarketWatch.com	0.0491881
"Charles Schwab &AMP; Co."	0.0488235
zine	0.0486886
Xoom.com	0.0486767
"National Republican Congressional Committee"	0.0486301
ETrade	0.0482411
"Times Mirror Co."	0.0480886
"Fidelity Investments"	0.0480741
"Sports Illustrated"	0.0479427
MP@.com	0.047508
"British Broadcasting Corp."	0.0474947
theglobe.com	0.0474638
"Health and Human Services Department"	0.0474517
Scientific-Atlanta	0.0472984
"United Parcel Service"	0.0472769
Expedia	0.0471626
"BellSouth Corp."	0.0470006
"JDS Uniphase"	0.0466026
Reel.com	0.0465081
"Hewlett Packard"	0.0459506
"Advanced Micro Devices"	0.0456715
GO.com	0.0456138
"Microsoft Network"	0.0454578
"Micron Technology"	0.0453472
"Philadelphia Inquirer"	0.0450243
"New York Daily News"	0.0447885
"Bristol-Myers Squibb"	0.044705
"Turner Broadcasting"	0.0443795
"Time Inc."	0.0442889
"order form"	0.0440847
egghead	0.0437023
"Relevant Knowledge"	0.042583
"Lycos Inc."	0.0424027
"Coca-Cola Enterprises"	0.042367
"New York Post"	0.0422815
PATHFINDER	0.042272
E-Trade	0.0416852
WGBH	0.0415003
"Yomiuri Shimbun"	0.0414151
"Borders Books"	0.0414004
"Good Morning America"	0.0413763
"Sun Microsystems"	0.0411934
Healtheon	0.0411567
"Entertainment Weekly"	0.0410949
"New York Observer"	0.0410945
"Esther Dyson"	0.040721
"Apple Computer"	0.0405149
"Weight Watchers"	0.0403143
"Intel Corp."	0.0403011
"Dell Computer Corp."	0.0402817
))
(Abdel-Meguid (desc 1202.9) (sims
Meguid	0.373415
Kasoulides	0.348093
"Secretary General Esmat Abdul-Meguid"	0.327981
Moratinos	0.316292
Sumaye	0.304303
Jayakumar	0.301799
Velayati	0.287692
Kharrazi	0.286157
"Secretary General Esmat Abdel-Meguid"	0.281108
Stoyanov	0.272544
Zou	0.271638
"de Charette"	0.27103
Ruehe	0.270517
Jovanovic	0.259427
Rifkind	0.259335
Shareh	0.258732
Akayev	0.256353
Ikimi	0.252984
Guterres	0.2498
Dini	0.248139
Klima	0.244138
Majali	0.244034
Pangalos	0.243889
Shaath	0.241528
Lipponen	0.239308
Stroyev	0.23655
Rodionov	0.233407
Kono	0.230562
Kabariti	0.22738
Ikeda	0.226723
Mkapa	0.222741
Saleh	0.221537
Meles	0.220672
Brittan	0.219435
Komura	0.2191
Luong	0.218908
Constantinescu	0.218892
Nzo	0.217376
Diouf	0.216554
Gurirab	0.215914
Phieu	0.214817
Chissano	0.214704
Karimov	0.214611
Cem	0.214537
Axworthy	0.214339
Rong	0.213485
Wolfensohn	0.2128
Aziz	0.212705
Muoi	0.2118
Severino	0.211791
Azad	0.211004
Boueiz	0.209761
Kostov	0.207512
Bruton	0.207505
Zeng	0.207203
Nujoma	0.2053
Scalfaro	0.20526
Granic	0.204119
Juncker	0.202791
Niyazov	0.202762
Rawabdeh	0.20217
Leghari	0.201354
Moussa	0.201117
Pustovoitenko	0.200979
Lari	0.198561
Insulza	0.198216
"Abidine Ben Ali"	0.198131
Vollebaek	0.194868
Baz	0.194095
Nazarbayev	0.191951
Kyprianou	0.189325
Hrawi	0.188615
Zeroual	0.188233
al-Sahaf	0.188034
Ganzouri	0.187891
Alarcon	0.187629
Khai	0.186848
Waigel	0.185514
Modise	0.18535
Tsang	0.182287
Shevardnadze	0.1809
Gowda	0.180058
Fernandes	0.179952
Goh	0.176986
Husseini	0.176963
Ogata	0.176668
"Esmat Abdel Meguid"	0.176456
Surin	0.17635
Ivanov	0.176104
Alatas	0.175492
Santer	0.175014
"Lee Hsien Loong"	0.174308
Kinkel	0.174123
Siazon	0.173076
Brahimi	0.17298
"Sheikh Saad"	0.172403
Khaddam	0.17158
Demirel	0.171187
Nasrallah	0.170732
Juma	0.170133
Bellamy	0.169966
Ben-Ami	0.169397
Jia	0.169024
al-Sahhaf	0.168367
"Secretary-General Boutros Boutros-Ghali"	0.168324
Kuchma	0.167388
Holl	0.167297
Deuba	0.166756
Camdessus	0.165981
Zuma	0.165399
Prueher	0.165181
Majko	0.164721
Aventajado	0.164238
Sharaa	0.163961
"Tareq Aziz"	0.163894
Qian	0.163777
Hamad	0.16361
Chavalit	0.1634
al-Nahyan	0.162783
Nateq-Nouri	0.162723
Izetbegovic	0.162228
Berri	0.161942
Dehaene	0.16158
Malu	0.161527
al-Khatib	0.160974
Qiao	0.160754
Khamenei	0.160514
Gaddafi	0.160348
Muluzi	0.159821
Xanana	0.159809
"Tariq Aziz"	0.159172
"Speaker Ali Akbar Nateq-Nouri"	0.158556
Vedrine	0.158545
Pickering	0.158536
Salim	0.158464
Singson	0.157702
"Maung Aye"	0.157475
Museveni	0.157452
Bildt	0.157437
Ciampi	0.156721
Gujral	0.156629
Rafsanjani	0.156548
Yadav	0.156524
Sponeck	0.156151
Buhe	0.15607
Ghalib	0.155681
Tarawneh	0.15559
Talbott	0.155542
Klestil	0.155295
Seleznyov	0.154729
"De Soto"	0.154227
Shamshad	0.15413
Hariri	0.153798
Fino	0.153767
"Israeli Foreign Ministry"	0.153746
Ruggiero	0.153663
Simitis	0.153244
Scharping	0.153212
Narayanan	0.153074
Ghali	0.151996
Solana	0.15043
Soares	0.149792
Westendorp	0.14932
"Secretary General Boutros Boutros-Ghali"	0.149137
Advani	0.149133
Vasile	0.148823
Tarrin	0.148543
"Defense William Cohen"	0.148506
Hu	0.148238
Masire	0.148183
Shipley	0.148019
Schuessel	0.147907
Rudman	0.14778
Sihanouk	0.147742
Dodik	0.14756
"William S. Cohen"	0.14748
Luo	0.147135
Boutros-Ghali	0.146841
Aznar	0.145872
Kok	0.144782
Ashrawi	0.144159
Menem	0.143622
el-Ganzouri	0.143016
Koirala	0.142681
"Frederick Sumaye"	0.14263
Erekat	0.14259
Zemin	0.141913
Hasina	0.141636
Duisenberg	0.141491
wen	0.141075
Mubarak	0.140677
Lahoud	0.140421
Kwasniewski	0.140217
Ahtisaari	0.139518
Juppe	0.139194
Banharn	0.139163
Kumaratunga	0.138834
Shara	0.138584
conferees	0.138559
Chiluba	0.138556
Brundtland	0.138384
Demaci	0.138159
Bhattarai	0.138126
Al-Faisal	0.137759
"Robert Aventajado"	0.137491
Ahern	0.137307
Bulatovic	0.13692
Chuan	0.136476
Frei	0.135371
"John Bruton"	0.135265
Fu	0.135191
Bouteflika	0.13338
"Vo Van Kiet"	0.133047
"Jordanian King Abdullah Bin Hussein"	0.132954
tang	0.132896
Grachev	0.130956
Weizman	0.130857
Shi	0.13081
Bizimungu	0.130708
"Than Shwe"	0.130437
Orban	0.130278
el-Baz	0.130234
"Goran Persson"	0.130136
Herzog	0.129312
Yazdi	0.129013
Mbeki	0.128885
Thapa	0.128865
Xiong	0.128749
Indyk	0.128491
Obeid	0.128121
Moi	0.127941
Tung	0.127857
"Khin Nyunt"	0.127825
Prodi	0.126971
Lukashenko	0.12688
Peng	0.126483
Hoss	0.126414
Aliyev	0.125816
Carollo	0.125512
Sergeyev	0.125508
Milo	0.125379
"King Sihanouk"	0.125121
Xiang	0.124849
Erwin	0.124727
Tian	0.124196
Kavan	0.124164
Abbas	0.124054
Ecevit	0.123811
"Boutros Boutros Ghali"	0.123702
Piot	0.123618
Abdullah	0.123476
Buzek	0.123457
Nemtsov	0.12328
"Chief Executive Tung Chee-hwa"	0.123155
Condit	0.122203
"Meles Zenawi"	0.122131
Chi	0.122127
Koehler	0.122059
Leung	0.121988
Khalifa	0.121966
Jospin	0.121723
"Costas Simitis"	0.121678
Chirac	0.121545
al-Sharaa	0.121486
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.121459
Krajisnik	0.121162
"Pascoal Mocumbi"	0.121124
Kesri	0.121074
Ramos	0.121016
Yilmaz	0.121016
Rais	0.120919
Nickerson	0.120829
Kromah	0.12069
Malan	0.120673
Mahdi	0.120517
Larsen	0.120488
McGuinness	0.120228
"Krishna Prasad Bhattarai"	0.1202
"Antonio Guterres"	0.120116
Strauss-Kahn	0.120038
Rashid	0.119943
Vice-Premier	0.119631
"Phan Van Khai"	0.119536
Tsvangirai	0.119183
Wei	0.118904
millon	0.118897
"Bashkim Fino"	0.118825
al-Shara	0.118526
Ota	0.118333
Papandreou	0.118149
Arens	0.117965
Blatter	0.117852
Zhirinovsky	0.117806
Weldon	0.117727
Kasyanov	0.117549
Aguirre	0.117462
Zhu	0.117434
Nahyan	0.117226
Barshefsky	0.117211
al-Bashir	0.116714
Bashir	0.116708
"Deve Gowda"	0.116561
Al-Sabah	0.116485
Wilhelm	0.116193
"Kim Yong Nam"	0.115976
"Lawrence Summers"	0.11557
Tella	0.11556
"Abdul Karim Kabariti"	0.115501
Wu	0.115414
Iliescu	0.115326
"Minister Shlomo Ben-Ami"	0.11523
Chretien	0.1148
Downer	0.114777
Persson	0.114694
Clerides	0.114676
"Mesut Yilmaz"	0.114675
"Li Tieying"	0.114623
"Atef Obeid"	0.113974
Prewitt	0.113212
Azizah	0.113167
Levitt	0.112884
Mordechai	0.112875
"King Fahd"	0.112734
"council member"	0.112665
Sahnoun	0.112236
Korman	0.111779
Koo	0.111729
"Qian Qichen"	0.111715
Portillo	0.111581
"Rodney Slater"	0.111576
"Iranian Foreign Ministry"	0.111574
"Dos Santos"	0.111566
"Saeb Erekat"	0.11152
Fahd	0.11149
Mugabe	0.111332
Havelange	0.11125
Rabbani	0.111199
"Li Peng"	0.111103
"Salim Hoss"	0.110972
Harmoko	0.110918
"Pandeli Majko"	0.110825
Buyoya	0.11067
Gadhafi	0.110599
Mandela	0.110552
"Faisal Husseini"	0.110512
Denktash	0.110447
"Chea Sim"	0.110434
Benazir	0.110413
Nouri	0.109937
Sato	0.109856
"Rafik Hariri"	0.109832
Vance	0.109729
Cui	0.109557
Eizenstat	0.109497
Napolitano	0.109444
Rakhmonov	0.109286
Beilin	0.108796
Yassin	0.108544
minister-elect	0.108308
Guei	0.108125
Mercado	0.108057
Aliev	0.108041
Beazley	0.107937
"Valery Pustovoitenko"	0.107894
D'Alema	0.107212
Misuari	0.107198
"Bill Skate"	0.107065
Erbakan	0.107034
Beye	0.106982
Hassan	0.10665
Abubakar	0.106643
Annan	0.106568
"Salim Ahmed Salim"	0.106196
McCurry	0.106041
Ingraham	0.105917
McKinnon	0.105575
Rawlings	0.105549
Havel	0.104934
Fischer	0.10471
"Arab League"	0.104661
"Turkish Foreign Ministry"	0.104623
"Chuan Leekpai"	0.10462
Vajpayee	0.104401
"Prime Minister Banharn Silpa-Archa"	0.104125
Lim	0.104119
Manley	0.103926
Goff	0.103833
Nano	0.103754
Ciller	0.103747
Wenger	0.103655
"John Paul"	0.10359
Gama	0.103323
"Sher Bahadur Deuba"	0.103191
Burleigh	0.103182
Khatami	0.103178
"Romano Prodi"	0.103146
Yastrzhembsky	0.103137
el-Bashir	0.102958
Bedie	0.102808
Estrada	0.102754
Kato	0.102743
Kennard	0.102661
Allchin	0.102245
Broek	0.101892
Milutinovic	0.101738
"Xie Zhenhua"	0.101732
Kamal	0.101666
Marulanda	0.101659
"King Birendra"	0.101575
"Palestinian Council"	0.101523
"Israeli Cabinet"	0.101432
"Tung Chee Hwa"	0.101405
Ismail	0.101211
"Carol Bellamy"	0.101174
Gosper	0.10112
Sharansky	0.101027
"Russian Foreign Ministry"	0.101007
Daley	0.100833
Nebiolo	0.100764
Dai	0.10069
Merkel	0.100582
"Khaleda Zia"	0.100439
Blair	0.100372
Sakakibara	0.100371
al-Hariri	0.100283
Bolger	0.100141
))
(abdication (desc 2242.67) (sims
abrogation	0.134128
usurpation	0.121042
negation	0.117618
copout	0.0886658
diminution	0.0853387
cortege	0.0767697
dereliction	0.0749075
"sour grapes"	0.0672149
realignment	0.0656713
capitulation	0.0646245
"waste of money"	0.0642886
reallocation	0.0612105
overkill	0.0609065
sacking	0.06075
affirmation	0.0598334
negligence	0.0596063
reversal	0.0588563
redefinition	0.0583403
"God's Will"	0.0580583
foolishness	0.0569023
amalgamation	0.0568424
"component part"	0.0565319
criminalization	0.0558107
reestablishment	0.0557996
betrayal	0.0550744
acknowledgement	0.0547438
acknowledgment	0.0546233
prerogative	0.0539271
agglomeration	0.0536975
vindication	0.0536275
"clean slate"	0.0529517
impossibility	0.0525542
committment	0.0517377
nuptials	0.0515786
"quid pro quo"	0.05138
"sum total"	0.0513628
diffusion	0.0510976
overstatement	0.0509071
affront	0.0506198
denigration	0.0506158
devolution	0.0505801
evasion	0.0505447
repudiation	0.0504396
"choice of words"	0.0504386
duplication	0.0503722
splintering	0.049976
infringement	0.049912
faithfulness	0.0496607
broadening	0.0492459
typo	0.0491223
serendipity	0.0486982
crapshoot	0.0484936
toppling	0.0484729
"civic duty"	0.0483427
abandonment	0.0479946
"blank check"	0.0477872
retraction	0.047538
no-brainer	0.0475276
downfall	0.0474488
helplessness	0.0473815
"engine failure"	0.0473431
ousting	0.0472361
enabler	0.0471472
abolishment	0.0470677
reminded	0.0470036
u-turn	0.0468842
"preconceived notion"	0.0465983
"standard operating procedure"	0.0463425
turnabout	0.0462095
malfeasance	0.0461381
misperception	0.0461289
"lying under oath"	0.0457438
ruthlessness	0.0457339
"turn of events"	0.0457109
captaincy	0.0455695
amnesia	0.0455023
beatification	0.0453933
"small change"	0.0452266
"death warrant"	0.0451127
"policy change"	0.0450941
arbiter	0.0450277
guardianship	0.0449277
contravention	0.0448675
travesty	0.0448536
destitution	0.0448443
fearlessness	0.04473
fulfilment	0.0446336
misreading	0.0445841
stupidity	0.0445816
murder-suicide	0.0445143
"hush money"	0.0444722
"judicial branch"	0.044394
powerlessness	0.0441612
abomination	0.0440674
exoneration	0.044021
retrenchment	0.0439948
cohabitation	0.0439439
inversion	0.043787
fragmentation	0.0437667
"name change"	0.0437575
swearing-in	0.0436406
"brain stem"	0.0436035
overreaction	0.0433117
wipeout	0.0432485
shakeup	0.0432406
naturalness	0.0429235
anomaly	0.0428554
balancing	0.0427341
conundrum	0.0426588
nationalization	0.042558
annulment	0.0425214
heartbreaker	0.0424354
"pain in the neck"	0.042407
Echelon	0.0420638
miscalculation	0.0420489
reinstatement	0.04194
delineation	0.0419153
breaching	0.0418148
renegotiation	0.0417949
precept	0.0417924
notions	0.0417835
validation	0.0416419
sanctum	0.0416309
transference	0.0416244
reexamination	0.0416201
admonition	0.041579
heresy	0.0414881
perversion	0.0414516
"practical application"	0.0414181
"medical exam"	0.0413982
"cold spell"	0.0413675
taking	0.0412824
exercising	0.0412414
"second tour"	0.0411326
shenanigan	0.0410977
"moral obligation"	0.0410872
bleakness	0.0410652
palliative	0.0410037
"Achilles' heel"	0.0409928
subversion	0.0408675
materialization	0.0408383
"dog bite"	0.0407368
defamation	0.0407197
summation	0.0406902
"all clear"	0.0406735
abolition	0.0406305
miscarriage	0.0404589
hoax	0.0403536
apprenticeship	0.0402812
isolationism	0.040223
"numbers game"	0.0402204
))
("Abdollah Nouri" (desc 1562.17) (sims
"Saeed Hajjarian"	0.20908
Nouri	0.159232
Harmoko	0.12976
"Aryeh Deri"	0.114019
"Boris Nemtsov"	0.111958
Karbaschi	0.105422
"Mohammad Khatami"	0.102042
Bulatovic	0.101466
"Anwar Ibrahim"	0.0961017
"Bora Milutinovic"	0.095463
"Abdurrahman Wahid"	0.0952644
"Amnuay Virawan"	0.0946942
"Joao Havelange"	0.0943406
"Xu Wenli"	0.0936697
"Iranian Jews"	0.0906373
"Andreas Papandreou"	0.0888721
Verney	0.0853911
"Kamal Kharrazi"	0.0850164
"Renato Ruggiero"	0.0845288
Deri	0.0818708
"Andrew Johnson"	0.0803817
"Michel Camdessus"	0.0770383
Obeid	0.0766943
"Grigory Yavlinsky"	0.0764361
Jayakumar	0.0756753
"Wang Dan"	0.075253
"Mikhail Kasyanov"	0.0744683
mufti	0.0743957
"Chavalit Yongchaiyudh"	0.0742853
Papon	0.0736111
"Daim Zainuddin"	0.0729685
"Nabil Shaath"	0.0728279
cleric	0.0726946
Havelange	0.0725899
"Yossi Sarid"	0.0718477
Mohajerani	0.0715388
"Tim Fischer"	0.0696951
"Igor Sergeyev"	0.0696752
"Terry Nichols"	0.069363
"Yuri Maslyukov"	0.069202
Krajisnik	0.0691762
Mullah	0.068763
"Jacques Santer"	0.0684976
"William Jefferson Clinton"	0.0682655
"Jack Gargan"	0.068014
"Wolfgang Schaeuble"	0.0675144
"Wolfgang Schuessel"	0.0663059
"dead person"	0.0660967
"Galina Starovoitova"	0.0652221
Habib	0.0645331
"Yitzhak Mordechai"	0.0640314
"Tomiichi Murayama"	0.0636628
Ibrahim	0.0634721
"Manuel Noriega"	0.0631176
"political dissident"	0.0630891
Boueiz	0.0630656
Djukanovic	0.0630414
Gargan	0.0629519
Contreras	0.0622943
"Boutros Boutros-Ghali"	0.0620836
"Ayatollah Ruhollah Khomeini"	0.0619184
"Welfare Party"	0.0617837
"P.V Narasimha Rao"	0.0616829
"Benazir Bhutto"	0.0615406
Mohamed	0.061456
Rafsanjani	0.0614155
then-president	0.0613819
"De Klerk"	0.0612497
"Khaleda Zia"	0.0611183
"Mo Mowlam"	0.0606234
Khamenei	0.0602252
"Abdullah Ocalan"	0.060071
"Sergei Stepashin"	0.0600381
"Yigal Amir"	0.059914
"Seamus Mallon"	0.0599055
"Ariel Sharon"	0.0596668
"Franjo Tudjman"	0.0596246
Tous	0.0595494
"Kim Yong Nam"	0.0594311
"David Levy"	0.0590397
Ahmed	0.0590219
Chevenement	0.0587621
Whitacre	0.05872
"Bizima Karaha"	0.0583762
"Margaret Thatcher"	0.058221
"John William King"	0.0582091
McVeigh	0.0581391
"Fayez Tarawneh"	0.0580601
"H.D Deve Gowda"	0.0580064
Mandelson	0.0579831
"Kiichi Miyazawa"	0.0575782
"Rick Neuheisel"	0.057519
"Krishna Prasad Bhattarai"	0.0573933
"Yossi Beilin"	0.0573585
non-Muslims	0.0565609
Sato	0.0564426
"Lino Oviedo"	0.0564088
Masire	0.0562599
Chubais	0.0562048
"Igor Ivanov"	0.055967
"Louise Woodward"	0.0558676
"Anatoly Chubais"	0.055866
Murayama	0.05572
"King Abdullah II"	0.0555817
Saleh	0.0554635
"Mahendra Chaudhry"	0.0553456
"Ung Huot"	0.0550396
"Moshood Abiola"	0.0549209
"Lee Kuan Yew"	0.0548602
Mukora	0.0546177
"Victor Chernomyrdin"	0.0545188
"George Robertson"	0.0543641
"Maria Hsia"	0.0542107
Dudayev	0.053809
"Chuck Daly"	0.0536572
"Jim Leyland"	0.0535594
"Silvio Berlusconi"	0.0534299
NCEC	0.0534064
"Vaclav Havel"	0.0530031
"Abdullah Ahmad Badawi"	0.0529511
chun	0.052801
"Salim Hoss"	0.0526761
"John Anderson"	0.0526279
Milbury	0.0523729
Alarcon	0.0522567
"Marzuki Darusman"	0.0522267
"Robert Aventajado"	0.052193
"Sergei Kiriyenko"	0.0520755
Cheung	0.0520451
"Richard M. Nixon"	0.0519619
"Russell Henderson"	0.0519517
Omar	0.0519491
"Tony Banks"	0.0519449
"John Prescott"	0.0518183
"Timothy McVeigh"	0.051477
"Deve Gowda"	0.051359
"Yitzhak Rabin"	0.0512264
Brock	0.0511193
"M. Douglas Ivester"	0.0509796
"Haim Ramon"	0.0509243
Schaeuble	0.0509076
Demirel	0.0505945
"Wim Duisenberg"	0.0503598
"Radu Vasile"	0.0503405
Imam	0.0502381
Iger	0.0501671
"Ricardo Lagos"	0.0501367
"Supachai Panitchpakdi"	0.0501111
"Sartaj Aziz"	0.0500792
Abdul	0.0493205
"Azem Hajdari"	0.0492894
"Jaswant Singh"	0.0490686
"Lokendra Bahadur Chand"	0.0490538
"Bob Bullock"	0.0489898
Ruggiero	0.0489631
Ruehe	0.0488699
Xanana	0.0487188
"Charles Gibson"	0.0487048
"Sam Rainsy"	0.0486896
"Francisco Labastida Ochoa"	0.0486244
"Momcilo Krajisnik"	0.0485067
"Klaus Kinkel"	0.0483284
"Bosnian Croat"	0.048268
Ntuyahaga	0.0481697
"Frank Joklik"	0.0480446
Milutinovic	0.0480028
"Juan Antonio Samaranch"	0.0479502
Imelda	0.0478959
"Islamic Welfare Party"	0.0478048
"General Agreement on Tariffs and Trade"	0.0477098
"Sher Bahadur Deuba"	0.0476888
"Hanan Ashrawi"	0.0476648
"Norodom Ranariddh"	0.0475958
Kasyanov	0.0475827
Stoyanov	0.0475198
"Terry McAuliffe"	0.047479
"Shawn Berry"	0.0472638
Bartholomew	0.0471063
"Necmettin Erbakan"	0.0471044
"Abdul Karim Kabariti"	0.0469316
"air force officer"	0.0467603
"Chi Haotian"	0.046611
"Alexander Lebed"	0.0465304
"Lamberto Dini"	0.0464685
Khomeini	0.0464397
Hassan	0.0463971
Malu	0.0463519
"Carlos Salinas"	0.0462516
"Tansu Ciller"	0.0461251
"Sani Abacha"	0.0459354
Chavalit	0.0459347
Carlos	0.0458858
"Vo Van Kiet"	0.0457828
Dobbs	0.0457281
"Kurt Rambis"	0.0456697
"Barry Switzer"	0.0456498
Fortier	0.0455961
"Biljana Plavsic"	0.0455816
Guido	0.045573
Agca	0.0455194
))
(abdomen (desc 12530.1) (sims
stomach	0.22268
buttock	0.211994
thigh	0.204256
chest	0.200094
pelvis	0.166967
lung	0.16331
torso	0.161942
neck	0.161304
uterus	0.14422
groin	0.136757
intestine	0.135446
throat	0.134711
forearm	0.131389
wrist	0.130398
hip	0.13
belly	0.128295
shoulder	0.12646
forehead	0.124978
leg	0.124945
liver	0.124615
armpit	0.123089
rib	0.121676
spine	0.121661
elbow	0.121077
spleen	0.116622
esophagus	0.11647
breast	0.115109
"spinal cord"	0.115029
jaw	0.113617
pancreas	0.109238
"lymph node"	0.108565
brain	0.108176
kidney	0.105596
"rib cage"	0.104716
colon	0.104459
knee	0.104178
calf	0.102274
ankle	0.102253
skull	0.100335
prostate	0.100194
biceps	0.0995698
cheek	0.0978087
shin	0.0921543
waist	0.0918792
thyroid	0.091518
triceps	0.08991
quadriceps	0.0887672
collarbone	0.0887231
eyelid	0.0879744
hamstring	0.0867013
"left hand"	0.0854651
bladder	0.0847099
"right hand"	0.0841737
"prostate gland"	0.0837442
cervix	0.0834645
muscle	0.0817516
"vocal cord"	0.0776518
extremity	0.0774926
larynx	0.077406
"blood vessel"	0.0771927
genital	0.0770947
Foot	0.0766857
sternum	0.0763969
cornea	0.0759362
ovary	0.0757312
bone	0.0747559
mouth	0.0744319
waistline	0.0741616
ear	0.0714144
limb	0.0707634
diaphragm	0.0707489
"achilles tendon"	0.0707333
skin	0.0705778
toe	0.0704022
Chin	0.0699295
midriff	0.0696218
crotch	0.0695706
finger	0.0684388
upper	0.0681173
lip	0.0678563
womb	0.0673248
tendon	0.0671504
"ring finger"	0.0669275
joint	0.0662914
"large intestine"	0.065623
cuff	0.0655766
"leg bone"	0.0637175
rectum	0.0633576
scalp	0.0630816
artery	0.0628581
vagina	0.0620778
gizzard	0.0612827
tail	0.0612042
femur	0.061
thumb	0.0607309
lobe	0.0598709
vertebra	0.0592486
penis	0.0590879
bloodstream	0.0589206
Achilles	0.0588366
nose	0.0586618
gut	0.0583481
back.	0.0579502
"back pain"	0.0572709
cheekbone	0.0572049
"central nervous system"	0.057089
kneecap	0.0567215
retina	0.0564481
tissue	0.0556932
"bone marrow"	0.0555441
flexor	0.0550517
testicle	0.0548548
tonsil	0.0547495
"nervous system"	0.0540191
vein	0.0539325
"black eye"	0.0536303
bowel	0.0535671
"index finger"	0.0533759
laceration	0.0529728
trunk	0.0528794
"digestive system"	0.0527942
midsection	0.0525487
"car door"	0.0519799
ligament	0.0514329
gland	0.0506238
airway	0.0500986
bruise	0.0498654
tongue	0.0496087
backside	0.0495064
nostril	0.0490802
aorta	0.0489681
butt	0.0481169
vertebrae	0.0480951
"digestive tract"	0.0473806
rump	0.04732
membrane	0.0457089
teeth	0.0452369
brow	0.0452317
ACL	0.0451767
cavity	0.045151
"drive-by shooting"	0.0450195
psyche	0.0444733
"middle finger"	0.043437
eardrum	0.0429806
abrasion	0.0427396
mice	0.0423762
concussion	0.0422801
tummy	0.0420105
sinus	0.0418658
"blood type"	0.0418294
"eye socket"	0.0415893
nerve	0.0415119
pouch	0.0410688
"heart valve"	0.0407644
pinkie	0.0404567
"shoulder blade"	0.0402574
))
(abduction (desc 23506.5) (sims
kidnapping	0.34377
rape	0.225173
killing	0.225041
slaying	0.208164
murder	0.202729
hijacking	0.201302
robbery	0.199451
"armed robbery"	0.198973
arson	0.189428
assassination	0.182063
torture	0.180358
"sexual assault"	0.178928
theft	0.177666
disappearance	0.173506
massacre	0.171041
looting	0.167726
extortion	0.165115
beating	0.162337
harassment	0.157522
hostage-taking	0.153073
burglary	0.151481
molestation	0.150971
"mass murder"	0.14599
break-in	0.143624
mutilation	0.142629
arrest	0.13938
bombing	0.139013
"drug trafficking"	0.137515
shooting	0.136406
homicide	0.135027
vandalism	0.134865
mistreatment	0.134505
smuggling	0.134497
abuse	0.133694
assault	0.133338
atrocity	0.132442
maiming	0.131932
detention	0.129829
ambush	0.129227
crime	0.129169
stabbings	0.126843
sabotage	0.126814
deportation	0.124681
genocide	0.124643
"child abuse"	0.124376
maltreatment	0.124173
trafficking	0.123787
Execution	0.123777
suicide	0.123044
terrorism	0.121487
expulsion	0.121349
attack	0.121328
bribery	0.120913
capture	0.119329
banditry	0.118727
prostitution	0.118401
Death	0.117686
persecution	0.116981
raid	0.113484
riot	0.11302
lynching	0.112954
fraud	0.112698
intimidation	0.112151
violence	0.111699
incident	0.111662
"coup attempt"	0.111274
"money laundering"	0.111257
piracy	0.110747
brutality	0.110389
sodomy	0.109873
incursion	0.109533
holdup	0.108589
"war crime"	0.107973
"drive-by shooting"	0.107741
embezzlement	0.107323
slaughter	0.105267
espionage	0.105057
gunrunning	0.104922
"bomb blast"	0.104826
poisoning	0.104758
conspiracy	0.104528
mugging	0.10304
seizure	0.102999
blackmail	0.102189
violation	0.101545
explosion	0.101237
burnings	0.101213
forgery	0.100827
Stabbing	0.100633
firing	0.0979788
"drug abuse"	0.0979411
infiltration	0.0975143
carjackings	0.097412
cleansing	0.0972101
misconduct	0.0969598
accident	0.094954
eviction	0.0945481
bloodshed	0.0936876
desertion	0.0932699
corruption	0.0932549
racketeering	0.093037
larceny	0.0923935
rioting	0.0920443
stalking	0.0912244
destruction	0.0902873
unrest	0.0901653
shoplifting	0.0897225
incest	0.0896869
"tax evasion"	0.0895
crash	0.0889843
"sexual harassment"	0.0888035
repression	0.0888009
lawlessness	0.0887025
coup	0.0886766
shelling	0.0884729
defection	0.088149
cover-up	0.087963
invasion	0.0878175
mutiny	0.0876706
rampage	0.0873176
treason	0.0870635
dumping	0.0863098
amputation	0.0855348
subversion	0.0854392
purge	0.0844366
spate	0.0839392
recruitment	0.0829021
endangerment	0.0825577
"drug use"	0.0824983
"fatal accident"	0.0820737
scam	0.0818329
pillaging	0.0818125
activity	0.0818081
imprisonment	0.0817613
wounding	0.0815314
"organized crime"	0.0808785
clash	0.0808569
jailing	0.0807886
blast	0.0807171
coverup	0.0801975
aggression	0.0797356
sickout	0.0795721
neglect	0.0795216
uprising	0.078965
heist	0.078778
outbreak	0.0787069
displacement	0.0782706
terror	0.0781241
abandonment	0.0781191
victimization	0.0780359
wrongdoing	0.0780018
pillage	0.077982
tampering	0.0779138
spying	0.0776659
manslaughter	0.0774343
rustling	0.0774039
fighting	0.0771689
incitement	0.0771564
rebellion	0.0768303
crackdown	0.0768138
evacuation	0.0759399
hooliganism	0.0759278
plot	0.0753336
involvement	0.0752544
"insider trading"	0.0750711
misuse	0.0750201
leak	0.0748325
plunder	0.074707
poaching	0.0746957
takeover	0.0745326
"air raid"	0.0744808
coercion	0.0744222
malpractice	0.0741287
irregularity	0.0733215
enslavement	0.0731419
exodus	0.073141
interrogation	0.0726356
scandal	0.0722613
Dismissal	0.0721553
adultery	0.0720989
spree	0.0715761
collapse	0.0714559
"air attack"	0.0713321
complicity	0.0712881
graft	0.0712331
targeting	0.0709722
breach	0.070678
ill-treatment	0.0704915
Emigration	0.0700643
kidnapper	0.0698747
discrimination	0.0694633
tragedy	0.0692761
rescue	0.0691099
disaster	0.0689953
exploitation	0.0685281
contamination	0.0685167
manipulation	0.0684794
drownings	0.0682933
mismanagement	0.0682087
"corruption scandal"	0.0679143
))
(abductor (desc 5810.73) (sims
kidnapper	0.232021
captor	0.166108
hostage-takers	0.157905
Hijacker	0.156458
assailant	0.142758
"Abu Sayyaf"	0.137727
OPM	0.130402
gunmen	0.124154
bandit	0.121206
attacker	0.113837
tribesmen	0.109419
robber	0.108262
gunman	0.104626
poacher	0.100241
terrorist	0.0983817
militant	0.0983554
guerrilla	0.0973774
rioter	0.0919762
"New People's Army"	0.090093
extremist	0.0876956
guerilla	0.087397
insurgent	0.0866537
intruder	0.0856801
shoplifter	0.0854024
smuggler	0.0840096
separatist	0.0839149
infiltrator	0.0828076
"drug trafficker"	0.0824227
militiamen	0.081987
looter	0.0814243
assassin	0.0813603
TORTURER	0.0808373
perpetrator	0.0804045
Stealers	0.0799952
mutineer	0.0799829
rustler	0.0788348
wrongdoer	0.0786954
"robbery suspect"	0.078691
"Moro Islamic Liberation Front"	0.0783247
sniper	0.0778844
escapee	0.0768359
commando	0.0763238
Palczynski	0.0740668
Zapatistas	0.0737655
gangster	0.073296
trafficker	0.0730962
mugger	0.072857
"intelligence agent"	0.0721483
conspirator	0.0713985
NPA	0.0713722
"National Liberation Army"	0.0708345
hideout	0.0699357
burglar	0.0698746
deserter	0.0693342
policemen	0.0687089
"drug dealer"	0.0682055
Rapist	0.0676365
Marcoses	0.0674472
ELN	0.0670318
paramilitary	0.0658974
crewmates	0.0658861
illegals	0.0655819
"drug lord"	0.0653291
gang	0.0652718
KLA	0.0643551
Savimbi	0.0640471
murderer	0.0639332
thug	0.0638974
secessionist	0.0638947
accomplice	0.0638222
"Hezbollah (Party"	0.0631305
"Kosovo Liberation Army"	0.062618
pedophiles	0.0625601
"Sudan People's Liberation Army"	0.0621928
Killer	0.0620808
stalker	0.062072
militia	0.0620655
"security force"	0.0617633
triceps	0.0611756
"Yugoslav Army"	0.0606727
Veerappan	0.0606549
hostage	0.0603464
Bolshevik	0.0602259
"Rafael Resendez-Ramirez"	0.0601986
hoodlum	0.0601672
MILF	0.0599057
plotter	0.0598552
thief	0.0597392
combatant	0.0596058
"murder suspect"	0.0593528
FARC	0.0592854
abuser	0.0592506
Copt	0.0589588
pedophile	0.0589042
picketers	0.0584948
ETA	0.0584176
"prison guard"	0.057804
"Revolutionary Armed Forces"	0.0577735
"serial killer"	0.0576622
saboteur	0.0573508
bomber	0.0572517
warlord	0.0571877
paramour	0.057064
exboyfriend	0.057
Raduyev	0.0569314
"Kosovo Albanians"	0.0568539
Taliban	0.056774
tribesman	0.0566294
"National Democratic Front"	0.0564013
counterfeiter	0.056041
Klansmen	0.0557508
Filipino	0.0551705
demonstrator	0.0550515
captive	0.0550482
rightist	0.0550352
Barton	0.0549265
Libyan	0.0547989
snakehead	0.0545936
soliders	0.0545126
"Zapatista National Liberation Army"	0.0544648
franchisees	0.0543879
policeman	0.0542461
"birth parent"	0.0541263
ringleader	0.0541166
culprit	0.054057
skinhead	0.053824
"foster mother"	0.0535367
taker	0.0532327
villager	0.0532146
motorcyclists	0.0532113
"secret agent"	0.0531322
Syrian	0.0529043
RUF	0.0528701
"military police"	0.0527056
co-conspirator	0.0525232
Iranian	0.0522985
"Angel Maturino Resendiz"	0.0522475
Apaches	0.0520326
UNITA	0.0520187
provocateurs	0.0518997
pirate	0.0517358
"Khmer Rouge"	0.0516757
dissident	0.0516037
abduction	0.0515955
Hensley	0.0515616
schoolmate	0.0514761
"Armed Islamic Group"	0.0513255
LTTE	0.0510331
interrogator	0.0509244
"Bosnian Muslims"	0.0508256
racketeer	0.0508178
servicemen	0.0506483
mobster	0.0506338
troublemaker	0.0505122
"white man"	0.0504585
protestor	0.0502686
pornographer	0.0502596
"firing squad"	0.0501862
"air force officer"	0.0501143
"Liberation Tigers of Tamil Eelam"	0.0500238
Musa	0.0500166
Interahamwe	0.0497952
blackmailer	0.0496188
NDF	0.0496093
"Moro National Liberation Front"	0.0494112
settler	0.0493619
lair	0.0492328
hooligan	0.0492081
flexor	0.0491757
"hit man"	0.0490796
sailor	0.0489205
LRA	0.0488223
comrade	0.048821
Kurds	0.0487329
vandals	0.0486729
"federal agent"	0.0485724
co-worker	0.0485477
workmen	0.0483842
"Revolutionary United Front"	0.0483198
henchmen	0.0483178
quarterfinalists	0.0483137
"Israeli Arabs"	0.0482321
shipmate	0.0482059
fugitive	0.0481914
Shayler	0.0481505
"German Embassy"	0.0479375
midshipmen	0.0479358
MiGs	0.0477993
"Kurdistan Democratic Party"	0.0476309
"car bomb"	0.0475573
Yandarbiyev	0.047483
lawbreaker	0.0474227
stowaway	0.0474006
"dead person"	0.0471522
"North Koreans"	0.0471422
kidnapping	0.047116
Papon	0.047109
"Kuril Islands"	0.0470993
cultist	0.0470695
forger	0.0470394
))
(Abdul (desc 1192.87) (sims
Jayakumar	0.14827
Harmoko	0.138423
Boueiz	0.11305
"Tim Fischer"	0.0884466
Lari	0.0874912
"Amnuay Virawan"	0.0870735
Habib	0.0866272
"Sartaj Aziz"	0.0842481
Khalil	0.0841203
"Mikhail Kasyanov"	0.0825227
"Abdullah Ahmad Badawi"	0.0816818
Axworthy	0.0800545
Ruehe	0.0785971
Ahmed	0.0785813
Azad	0.0784572
Kremer	0.0783935
"Klaus Naumann"	0.0777302
"John Shalikashvili"	0.0777181
Jonsson	0.0776758
Obeid	0.0768489
Abdul-Jabbar	0.0752512
"Igor Sergeyev"	0.0750986
"Wolfgang Schuessel"	0.07507
"Yossi Sarid"	0.0749692
Guei	0.0749633
Susanti	0.0743356
Idris	0.0742289
Rodionov	0.074181
"Maung Aye"	0.0740483
Sutiyoso	0.073927
Yastrzhembsky	0.0738672
Abbas	0.0738105
Singson	0.0736799
Shriver	0.0734179
Andrei	0.0725113
"George Robertson"	0.0719086
Ghalib	0.0714605
Santoro	0.0712164
"Lamberto Dini"	0.0703591
Fernandes	0.0693658
Tarrin	0.0693256
"Robert Aventajado"	0.0692998
"de Charette"	0.0691985
Kasoulides	0.0687982
"Jaswant Singh"	0.0687557
Modise	0.0684363
Nemtsov	0.068424
Sidot	0.0683604
Akayev	0.0678481
Kornberg	0.0673864
Komura	0.0668618
Bustamante	0.0661343
"Xie Zhenhua"	0.0659922
Nicol	0.0658534
Shenhua	0.0656973
Nateq-Nouri	0.0656686
Bulatovic	0.0656686
Ong	0.0656634
Abdel-Meguid	0.0653914
Guterres	0.0652336
Alfredsson	0.0650833
McWilliams	0.065074
"Michael Heseltine"	0.0650015
Mohamad	0.0649847
"Khaleda Zia"	0.064862
"Dan Meridor"	0.0648354
Demaci	0.0648044
"John Anderson"	0.0644636
Ashrawi	0.0639952
"Salim Saleh"	0.0637593
Khalid	0.0637348
Ratner	0.0635736
"Michael Portillo"	0.0635169
"Klaus Kinkel"	0.0634479
"Igor Ivanov"	0.0633321
Mohamed	0.0632791
Baz	0.0632129
"Yitzhak Mordechai"	0.0629173
"Hugh Shelton"	0.0623435
Bambang	0.0621745
Yazdi	0.0619297
"Vladislav Jovanovic"	0.0616474
"American Chanda Rubin"	0.0615111
Karimov	0.061398
"Kim Yong Nam"	0.0613346
Ershad	0.0611888
"Daim Zainuddin"	0.0609844
"Fayez Tarawneh"	0.0608738
Rashid	0.0607556
Rifkind	0.0606166
"Supachai Panitchpakdi"	0.0604783
Ibrahim	0.0604607
"Victor Malu"	0.0604554
"Li Zhaoxing"	0.0600847
Sumaye	0.0599982
Hamad	0.0596998
Moratinos	0.0596958
Mikhailov	0.0595196
Stoltenberg	0.0594733
Arens	0.0594472
"Wolfgang Schaeuble"	0.0593029
Zou	0.0586615
"Bizima Karaha"	0.0585062
"Marzuki Darusman"	0.0583674
Edberg	0.058236
Siazon	0.0582117
Ikimi	0.0577253
Ricardo	0.05761
"Yasser Abed Rabbo"	0.0570274
"Eisuke Sakakibara"	0.0569788
Johansson	0.0569723
Orban	0.0568853
Aideed	0.0568351
"Al Joyner"	0.0567705
Schalken	0.0567174
"Shi Guangsheng"	0.0566782
"Orlando Mercado"	0.0565851
MIYAZAWA	0.0564105
Rahman	0.0563831
"Haim Ramon"	0.0563508
"Nur Misuari"	0.0561448
"Nabil Shaath"	0.0559478
Sakakibara	0.0559081
Jansher	0.0557451
Lareau	0.0557047
"Necmettin Erbakan"	0.0556183
Berasategui	0.0555486
"Sumner Redstone"	0.055522
"Jackson State"	0.0555216
Karlsson	0.0555005
"H.D Deve Gowda"	0.0554347
Kromah	0.0552252
Velayati	0.055181
Benedetti	0.0549439
Lindland	0.0549271
Tarango	0.0548769
"Ung Huot"	0.0547943
"Natan Sharansky"	0.0546979
Maslyukov	0.0542331
Moorer	0.0541361
Stoyanov	0.0538777
"Nicole Pratt"	0.0538547
Dodik	0.0537712
Omar	0.0537599
"I.K Gujral"	0.0536732
"Oskar Lafontaine"	0.0536605
"Kamal Kharrazi"	0.0536346
Rais	0.053518
Kyprianou	0.0534309
Markovic	0.0532025
Shi	0.0531842
Ahmad	0.0531392
Eran	0.0531003
"Israeli Foreign Ministry"	0.0529987
Shamshad	0.0529209
Murayama	0.052858
"Pervez Musharraf"	0.0528507
Wilander	0.0528004
Fink	0.0527963
Taufik	0.0527503
Husseini	0.052696
Kavan	0.0526663
"Paul Keating"	0.0526388
"foster mother"	0.0526146
Ota	0.0525248
"Than Shwe"	0.0524301
Stroyev	0.0524264
Xanana	0.0523998
Farah	0.0523166
Malu	0.0522527
"Asif Ali Zardari"	0.0522156
"Amos Wako"	0.0521164
Bizimungu	0.0521124
"Speaker Ali Akbar Nateq-Nouri"	0.0521101
Havelange	0.0520662
Aventajado	0.0518807
Espinosa	0.051801
Ju	0.0516866
Likhovtseva	0.0516615
"Shaul Mofaz"	0.0515907
Constantinescu	0.0515525
Thapa	0.0515201
Bautista	0.0514965
Majko	0.0514861
Hiddink	0.0514283
"Rajiv Gandhi"	0.0513631
Hamid	0.0513121
Ita	0.051308
"Bill Skate"	0.0512174
"Henry H. Shelton"	0.0511482
Gullit	0.0511015
Alarcon	0.0510957
Tait	0.0510715
"Chi Haotian"	0.051069
"Renato Ruggiero"	0.0510548
Jana	0.0510324
el-Bashir	0.0510225
Diouf	0.0510165
"John Boehner"	0.0509028
"Steve Campbell"	0.0508801
))
("Abdul Karim Kabariti" (desc 3020.52) (sims
"Abdul Salam Majali"	0.326324
"Fayez Tarawneh"	0.298275
Majali	0.257094
"Valery Pustovoitenko"	0.244594
al-Khatib	0.234609
"Lamberto Dini"	0.229185
"Atef Obeid"	0.228181
el-Ganzouri	0.226537
"Costas Simitis"	0.21583
"Rafik Hariri"	0.213417
"Wlodzimierz Cimoszewicz"	0.212971
"Vo Van Kiet"	0.211376
"Frederick Sumaye"	0.21133
"Pascoal Mocumbi"	0.211085
Khaddam	0.204266
"Radu Vasile"	0.199863
"Girija Prasad Koirala"	0.198937
"Jordanian King Abdullah Bin Hussein"	0.194001
"Salim Hoss"	0.193105
"Ivan Kostov"	0.190615
"Chuan Leekpai"	0.186571
"Meles Zenawi"	0.186346
al-Shara	0.184611
"Prime Minister Kamal El-Ganzouri"	0.183778
"Prince Saud Al-Faisal"	0.178287
"Romano Prodi"	0.175678
"Igor Ivanov"	0.175619
"Binyamin Netanyahu"	0.175466
"Chavalit Yongchaiyudh"	0.174655
Jayakumar	0.174494
"Necmettin Erbakan"	0.173763
"Kamal Kharrazi"	0.172996
"Deve Gowda"	0.1729
"Inder Kumar Gujral"	0.171282
"John Bruton"	0.169894
"Lokendra Bahadur Chand"	0.169655
"Wim Kok"	0.167646
"Jose Maria Aznar"	0.166723
"Phan Van Khai"	0.166653
"I.K Gujral"	0.16619
"Tim Fischer"	0.165096
"Tariq Aziz"	0.163882
"Goran Persson"	0.162932
"President Hafez Al-Assad"	0.162276
"Benazir Bhutto"	0.160407
"Helen Clark"	0.1602
al-Hariri	0.160095
"Mikulas Dzurinda"	0.159929
Boueiz	0.159032
"Ismail Cem"	0.157957
"Jenny Shipley"	0.157581
"Mesut Yilmaz"	0.155678
"Abdullah Ahmad Badawi"	0.155345
"John Major"	0.154659
"Paavo Lipponen"	0.154655
"Secretary General Esmat Abdul-Meguid"	0.153187
"Bashkim Fino"	0.152481
Lipponen	0.151998
al-Bashir	0.151793
"Ung Huot"	0.151456
Kabariti	0.15129
"Bulent Ecevit"	0.150453
"H.D Deve Gowda"	0.14998
"Sher Bahadur Deuba"	0.149604
"Jean Chretien"	0.149562
"Tansu Ciller"	0.146855
"Lionel Jospin"	0.145556
"Goh Chok Tong"	0.145515
al-Sahaf	0.14541
"Vaclav Klaus"	0.144497
Pangalos	0.144123
"Mikhail Kasyanov"	0.143399
"Jordanian King Hussein"	0.142099
Kharrazi	0.141651
"Amnuay Virawan"	0.141526
"Shimon Peres"	0.141049
"Bertie Ahern"	0.13953
"Atal Bihari Vajpayee"	0.138327
"Atal Behari Vajpayee"	0.137821
"Yoshiro Mori"	0.137742
"David Levy"	0.137341
Komura	0.136219
Simitis	0.135625
Dini	0.135623
"Sheikh Hasina"	0.135095
Scalfaro	0.134741
"Yevgeny Primakov"	0.134546
"Ryutaro Hashimoto"	0.134501
"Victor Chernomyrdin"	0.133872
"Tang Jiaxuan"	0.133788
"Mahmoud Zouebi"	0.133673
"Jerzy Buzek"	0.133577
"Sergei Stepashin"	0.133445
al-Assad	0.132885
"Amr Moussa"	0.132706
"Alain Juppe"	0.132421
Ivanov	0.131865
Axworthy	0.13165
Ruehe	0.130936
al-Sahhaf	0.130334
"Viktor Chernomyrdin"	0.12974
Gujral	0.129705
"Krishna Prasad Bhattarai"	0.129532
Shareh	0.129436
"Begum Khaleda Zia"	0.128359
"William Perry"	0.128349
Hasina	0.127832
"Secretary General Esmat Abdel-Meguid"	0.127746
"Hubert Vedrine"	0.126813
"George Robertson"	0.126732
"Antonio Guterres"	0.126181
"Jaswant Singh"	0.126057
Gurirab	0.125502
"de Charette"	0.124192
"Keizo Obuchi"	0.123906
Velayati	0.123892
"Saeb Erekat"	0.123337
"Igor Sergeyev"	0.12269
Hariri	0.122159
al-Sharaa	0.121665
"Suleyman Demirel"	0.121548
Moratinos	0.121446
Stoyanov	0.12142
"Klaus Kinkel"	0.120728
"Bill Skate"	0.120619
"Tareq Aziz"	0.120282
"Momir Bulatovic"	0.119957
Cem	0.119552
Kavan	0.119488
"Mahathir Mohamad"	0.119454
"Nawaz Sharif"	0.119018
Al-Faisal	0.118904
Harmoko	0.118866
al-Khalifa	0.118811
"Qian Qichen"	0.117461
"Benjamin Netanyahu"	0.117405
Meguid	0.117395
"deputy foreign minister"	0.117375
"Gro Harlem Brundtland"	0.117219
"Esmat Abdel Meguid"	0.117204
Moi	0.117015
Demirel	0.116443
Rifkind	0.116248
Deuba	0.115722
"Fernando Henrique Cardoso"	0.11558
Abdel-Meguid	0.115501
Kostov	0.115056
Koirala	0.115028
"Hun Sen"	0.115023
Bhattarai	0.114949
Dehaene	0.114388
Khai	0.114282
"Abidine Ben Ali"	0.113976
"William Cohen"	0.113933
"Than Shwe"	0.113866
Azad	0.113697
Al-Sabah	0.113245
Wolfensohn	0.112828
"Sartaj Aziz"	0.112302
Clerides	0.111289
"Prime Minister Banharn Silpa-Archa"	0.111229
"Robin Cook"	0.111217
"Michael Portillo"	0.110866
Aziz	0.110793
Hrawi	0.110683
Mkapa	0.110681
Al-Thani	0.110636
"Norodom Ranariddh"	0.110505
Husseini	0.110363
Klima	0.110277
"Khaleda Zia"	0.110137
"Ricardo Alarcon"	0.109998
"Pandeli Majko"	0.10983
"Saudi King Fahd Ibn Abdul-Aziz"	0.109425
Vajpayee	0.109371
"Boutros Boutros Ghali"	0.109193
"Joschka Fischer"	0.109147
"Yuri Maslyukov"	0.108612
Alarcon	0.10834
"John Howard"	0.108078
"Tony Blair"	0.108043
"Sergei Kiriyenko"	0.107939
"Vladimir Putin"	0.107724
Goh	0.10756
"Fatos Nano"	0.107496
Kasoulides	0.107339
"Abu Mazen"	0.107315
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.107248
"King Hussein"	0.106753
"Chi Haotian"	0.106523
"King Fahd"	0.106388
"Javier Solana"	0.106372
"Yasser Abed Rabbo"	0.10626
"Gulbuddin Hekmatyar"	0.106126
Ganzouri	0.10568
Guterres	0.105371
Chretien	0.105349
Ikimi	0.105063
Meles	0.104652
Erekat	0.104576
Tarawneh	0.104369
"Tomiichi Murayama"	0.104337
Alatas	0.104285
"Arab League"	0.104198
"Hosni Mubarak"	0.104184
"Speaker Ali Akbar Nateq-Nouri"	0.103956
Mubarak	0.103929
Museveni	0.103873
Nazarbayev	0.103529
Ecevit	0.103163
Klestil	0.103108
"President Kim Young-sam"	0.102323
Fino	0.101671
Vedrine	0.101525
"Viktor Orban"	0.101518
"Yitzhak Mordechai"	0.101474
Kuchma	0.10146
Juncker	0.101335
"King Abdullah Bin Hussein"	0.101259
"Bill Richardson"	0.100599
"Paul Keating"	0.100353
Nzo	0.100104
))
("Abdul Malik" (desc 1767.7) (sims
"Rashid Dostum"	0.32592
"Roosevelt Johnson"	0.162657
Dostum	0.146528
"Victor Malu"	0.129502
"Shamil Basayev"	0.127639
"Paul Kagame"	0.11237
"Omar Torrijos"	0.110622
"Vladimir Yakovlev"	0.10038
"Ta Mok"	0.0987553
"Ratko Mladic"	0.0952098
"Gulbuddin Hekmatyar"	0.0945123
"Lino Oviedo"	0.0917971
"Xiong Guangkai"	0.0905977
"Albanian Kosovo Liberation Army"	0.0870744
"Ali Mahdi Mohamed"	0.0853076
"Manuel Noriega"	0.0844133
"Ansumane Mane"	0.0839357
"Eileen Collins"	0.0820127
"Wesley Clark"	0.0787736
"Norman Schwarzkopf"	0.0772405
"Charles Taylor"	0.0768489
Hezb-i-Islami	0.0754055
"Xanana Gusmao"	0.0752921
"Maung Aye"	0.0729157
"Pervez Musharraf"	0.0723131
warlord	0.0697911
"Northern Alliance"	0.0696329
"Khun Sa"	0.0673308
Wiranto	0.0670756
Aidid	0.0666238
"Robert Guei"	0.0665717
"Mike Jackson"	0.0641979
"Salim Saleh"	0.0639006
"Aslan Maskhadov"	0.0609881
Masood	0.0606725
"Pervaiz Musharraf"	0.0603099
"Sani Abacha"	0.0600322
"Ramsey Clark"	0.0592369
"Aryeh Deri"	0.0580192
"Ieng Sary"	0.0569524
"Khieu Samphan"	0.0568494
Sutiyoso	0.0567482
"Dwight D. Eisenhower"	0.0563606
Bamiyan	0.0553663
"Wolfgang Schaeuble"	0.0550065
Ghalib	0.054868
"Anlong Veng"	0.0548597
"Gro Harlem Brundtland"	0.0548307
"South Lebanese Army"	0.0537688
"John Shalikashvili"	0.0532745
"Serbian Radical Party"	0.053043
"Oladipo Diya"	0.0525797
"New Aspiration Party"	0.0524802
"Yu Yongbo"	0.0519338
"Martin McGuinness"	0.051917
"Chavalit Yongchaiyudh"	0.0514752
"Renato Ruggiero"	0.0505307
Aideed	0.050454
"Tyler Hamilton"	0.050313
"Esmat Abdel Meguid"	0.0499629
"Robert E. Lee"	0.0498682
"Zhang Wannian"	0.0497263
"Steve Ballmer"	0.0492895
"Joseph Ralston"	0.0491927
mutineer	0.049078
Kwazulu-Natal	0.0489794
"Momcilo Krajisnik"	0.0487209
Kailahun	0.0485958
Guei	0.0483064
provincialism	0.0481698
"Mikulas Dzurinda"	0.0481666
"Douglas MacArthur"	0.0481366
"Ali Mahdi"	0.047676
Maj.-Gen.	0.0463274
"Abdulsalami Abubakar"	0.0460183
Synod	0.0460006
"Klaus Naumann"	0.0458925
"Ronnie Flanagan"	0.0458262
"Pierre Buyoya"	0.0456164
"Hashim Thaci"	0.045535
"Mike Moore"	0.0454893
"Shaul Mofaz"	0.0454814
"Henry Shelton"	0.0453293
"Fu Quanyou"	0.0452225
MQM	0.0451057
"Liberation Tigers"	0.0449842
"Alain Juppe"	0.0449417
"Tin Oo"	0.0448246
"Radovan Karadzic"	0.0442654
"Than Shwe"	0.0442444
"Igor Sergeyev"	0.0440662
"Khin Nyunt"	0.0438589
"Hugh Shelton"	0.0432191
"New Democracy"	0.0430993
Rabbani	0.0428227
Pailin	0.0425829
"Henry H. Shelton"	0.0421996
"Jack Gargan"	0.0420675
Elf-Aquitaine	0.0418857
McGuinness	0.0418368
"Ivan Kostov"	0.0418214
"Charles de Gaulle"	0.0417447
"Wlodzimierz Cimoszewicz"	0.0416762
"Gaullist Rally"	0.0414135
"Necmettin Erbakan"	0.0412146
"Democratic Progressive Party"	0.0410791
"Vojislav Seselj"	0.0405868
"Lakhdar Brahimi"	0.0405687
"Azem Hajdari"	0.0402371
"Liu Huaqing"	0.0401854
))
("Abdul Salam Majali" (desc 989.193) (sims
"Fayez Tarawneh"	0.401532
"Abdul Karim Kabariti"	0.326324
Majali	0.287153
"Wlodzimierz Cimoszewicz"	0.255284
"Valery Pustovoitenko"	0.251938
"Krishna Prasad Bhattarai"	0.219548
"Pascoal Mocumbi"	0.211779
al-Khatib	0.20406
"Bashkim Fino"	0.199767
"Frederick Sumaye"	0.196132
"Jerzy Buzek"	0.195658
Lipponen	0.189761
"Goran Persson"	0.185245
"Prime Minister Kamal El-Ganzouri"	0.182488
"H.D Deve Gowda"	0.182465
"Mikulas Dzurinda"	0.181951
Eran	0.18161
"Radu Vasile"	0.180122
Kabariti	0.17329
"Girija Prasad Koirala"	0.172304
"Laurent Fabius"	0.171598
"Ivan Kostov"	0.171426
"Fatos Nano"	0.168696
"Atef Obeid"	0.165189
"Lamberto Dini"	0.165154
"Wim Kok"	0.163654
"Salim Hoss"	0.162817
"Boutros Boutros Ghali"	0.162224
"Vaclav Klaus"	0.158758
"Pandeli Majko"	0.156937
"Vo Van Kiet"	0.156891
Bhattarai	0.154334
"Lokendra Bahadur Chand"	0.153745
"Tomiichi Murayama"	0.152381
"Tim Fischer"	0.150058
"Milos Zeman"	0.148316
"Costas Simitis"	0.147333
"Paavo Lipponen"	0.146788
"Victor Chernomyrdin"	0.145953
"I.K Gujral"	0.145193
al-Hariri	0.145177
"Ricardo Alarcon"	0.143556
"Sheikh Saad"	0.142084
"Viktor Orban"	0.140924
"Ung Huot"	0.138514
"Rafik Hariri"	0.1361
"Mesut Yilmaz"	0.135848
"Mahmoud Zouebi"	0.135676
"Antonio Guterres"	0.134991
"Mikhail Kasyanov"	0.134522
"Chavalit Yongchaiyudh"	0.133944
Deuba	0.133644
"Necmettin Erbakan"	0.132551
"Secretary General Esmat Abdul-Meguid"	0.132083
"Meles Zenawi"	0.130693
el-Ganzouri	0.130623
"Jenny Shipley"	0.129134
"Gro Harlem Brundtland"	0.127964
"Minister Shlomo Ben-Ami"	0.127961
"Romano Prodi"	0.127937
"Chuan Leekpai"	0.125881
"John Bruton"	0.125577
"Deve Gowda"	0.125426
"Sergei Stepashin"	0.125414
"Benazir Bhutto"	0.124723
"Noboru Takeshita"	0.124581
"Khaleda Zia"	0.12388
"Tansu Ciller"	0.123779
"Bill Skate"	0.123529
"Jose Maria Aznar"	0.123436
"Speaker Ali Akbar Nateq-Nouri"	0.121235
Siazon	0.120631
"Binyamin Netanyahu"	0.120279
"Yoshiro Mori"	0.118806
Banharn	0.117168
"Bulent Ecevit"	0.116675
"Inder Kumar Gujral"	0.115835
"Phan Van Khai"	0.115603
"Momir Bulatovic"	0.115482
"Jean Chretien"	0.114707
Al-Thani	0.114637
"Goh Chok Tong"	0.114394
"Lee Kuan Yew"	0.114355
Fino	0.114154
Dehaene	0.112553
"President Kim Young-sam"	0.112281
"Sher Bahadur Deuba"	0.11226
"Paul Keating"	0.111974
"Shimon Peres"	0.110442
Hariri	0.110425
Shaath	0.109357
"Secretary General Esmat Abdel-Meguid"	0.107582
"Prince Saud Al-Faisal"	0.107482
Kostov	0.107005
Simitis	0.106795
Ruehe	0.106739
"Lee Hsien Loong"	0.106724
"Alain Juppe"	0.106168
Goh	0.10569
"Jordanian King Abdullah Bin Hussein"	0.104545
"Atal Behari Vajpayee"	0.104412
Scalfaro	0.104064
"Abu Mazen"	0.104047
"Tariq Aziz"	0.102768
"Pakalitha Mosisili"	0.1026
"Vladimir Meciar"	0.101861
Alatas	0.101748
Meguid	0.100766
Ganzouri	0.100757
Sharaa	0.100749
"Atal Bihari Vajpayee"	0.100639
Gurirab	0.100521
"Sergei Kiriyenko"	0.100456
Rawabdeh	0.0993706
"Yasser Abed Rabbo"	0.0991217
"P.V Narasimha Rao"	0.0989877
Niyazov	0.0987019
"John Major"	0.0983653
"Yitzhak Mordechai"	0.0980297
Peres	0.0973777
Yitzhak	0.0964941
"David Levy"	0.0961546
al-Khalifa	0.0960159
Meles	0.0958363
Hassan	0.0953969
"Xiong Guangkai"	0.0951867
"John Howard"	0.095101
Axworthy	0.0949027
"De Soto"	0.0948646
"Mahmoud Abbas"	0.0947064
"Gulbuddin Hekmatyar"	0.094653
"Bertie Ahern"	0.0943965
"Sheikh Hasina"	0.0943107
Gujral	0.0937528
"Abdullah Ahmad Badawi"	0.0936871
"Lionel Jospin"	0.0935678
"Marzuki Darusman"	0.0925841
"Norodom Ranariddh"	0.0925007
"Menachem Begin"	0.0922731
al-Sahhaf	0.0919609
Shipley	0.0917832
"President Hafez Al-Assad"	0.0917048
Ahern	0.0912087
"Keizo Obuchi"	0.0911893
"Kiichi Miyazawa"	0.0911835
"Margaret Thatcher"	0.0911498
Barshefsky	0.0905022
"Koichi Kato"	0.0903235
"Tareq Aziz"	0.0898216
al-Bashir	0.089613
"Yevgeny Primakov"	0.0891487
Granic	0.0890095
Al-Sabah	0.0888234
Stoyanov	0.0888184
"William Perry"	0.088813
"Begum Khaleda Zia"	0.0887814
"Nabil Shaath"	0.0886175
"Andreas Papandreou"	0.0883644
"Rajiv Gandhi"	0.0880697
Buzek	0.0879143
"Felipe Gonzalez"	0.087903
"George Robertson"	0.0878839
Chretien	0.0877922
Nzo	0.0877734
"Viktor Chernomyrdin"	0.0871644
"Ryutaro Hashimoto"	0.087024
"Yegor Stroyev"	0.0868926
Chuan	0.0867876
"Helen Clark"	0.0866327
Phieu	0.0865494
"Fernando Henrique Cardoso"	0.0862172
Sahnoun	0.0858434
"Michael Heseltine"	0.0857912
"Chief Executive Tung Chee-hwa"	0.0854706
"Igor Ivanov"	0.0851921
Lowery	0.0846102
Klestil	0.0844183
Abdel-Meguid	0.0839101
Dini	0.0838972
Orban	0.0838111
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0835822
Sponeck	0.0835754
Santer	0.0835629
Chavalit	0.0835028
Khaddam	0.0834924
Prodi	0.0833906
Rakhmonov	0.0829122
"Milorad Dodik"	0.0828366
"Saudi King Fahd Ibn Abdul-Aziz"	0.0827789
"crown prince"	0.0826465
"Igor Sergeyev"	0.0825766
"Leon Brittan"	0.0825048
"William Cohen"	0.0823158
Kharrazi	0.0821532
Hasina	0.08196
Klima	0.0810204
Koirala	0.0807114
Moussa	0.0806962
Insulza	0.0804962
Thapa	0.0802608
))
(Abdul-Jabbar (desc 3223.8) (sims
Skiles	0.121091
"Kareem Abdul-Jabbar"	0.111116
Rubenstein	0.10131
Chamberlain	0.0981207
"Bob Cousy"	0.0946629
"Jerry West"	0.0913854
Wannstedt	0.0875992
Talebi	0.0867436
D'Alessandro	0.0862391
Leyland	0.0833072
Chaney	0.082831
Faulk	0.0827155
Whitsitt	0.0824379
Laudrup	0.0822838
Finkel	0.0822495
Cota	0.0808765
Hartsburg	0.0808704
Gullikson	0.0805138
Romar	0.079492
Heinrichs	0.0787731
Difrancesco	0.0786639
Martz	0.0766365
Donato	0.0762572
Ceballos	0.0759959
Ganassi	0.0753473
Abdul	0.0752512
Lieberthal	0.0750428
"Wilt Chamberlain"	0.0749729
Erving	0.0747685
Harrick	0.0741061
Vogel	0.0735703
"Isiah Thomas"	0.0734594
Irvan	0.0729468
Trepagnier	0.0728794
Drexler	0.0722078
Schourek	0.0721681
Meyers	0.0717526
Zambrano	0.0717296
Rosenthal	0.0715973
Atwood	0.0715683
Solich	0.0712667
Karolyi	0.0707188
Lehane	0.0706392
Neuheisel	0.0705474
Eizenstat	0.0701983
Dougherty	0.070099
Monson	0.0700722
Marineau	0.0699529
Vick	0.0699239
Cowan	0.0698999
Jauron	0.0696165
Murrell	0.0694804
Krzyzewski	0.0694444
Layden	0.0693381
McGinnis	0.069215
Scalabrine	0.0688965
Billick	0.0686505
Piot	0.0678376
Alarcon	0.0678301
Hickman	0.06753
Sampson	0.0674554
Kuhn	0.0674458
Chmura	0.0673639
Hybl	0.0673054
Cabrera	0.0670887
Schmid	0.0668485
Gaston	0.0667919
Valenzuela	0.0666087
Contreras	0.0664096
Fizer	0.0662864
Weisman	0.0660402
ISSEL	0.0658062
Paxon	0.0656663
Dunleavy	0.065315
Tarawneh	0.0652746
Ruggiero	0.0652582
Schottenheimer	0.0652219
Ponciano	0.065091
PRONGER	0.0650114
"Bill Russell"	0.0648417
Fleischer	0.0647287
Naumann	0.0646184
Holdsclaw	0.0645315
Iglesias	0.0645118
Newcombe	0.0644128
Foudy	0.0643955
Evernham	0.0643758
McIlvaine	0.0641093
Daniels	0.0641085
Cubas	0.064099
Yzerman	0.0639846
Kern	0.0638536
Venter	0.0636644
Holmgren	0.0636571
Fulmer	0.0636114
Jacquet	0.0635867
Pfeiffer	0.0635079
DiCicco	0.06329
Crenshaw	0.06304
Passarella	0.0629828
Azizah	0.0629493
Kazhegeldin	0.0629366
Meggett	0.062911
McGuire	0.0628857
Whitfield	0.0628331
Ebersol	0.06264
Solis	0.0626017
Berra	0.0625505
McCarron	0.0623879
Muckler	0.0622542
Appleby	0.0620547
Hatcher	0.0618665
Haskins	0.0618283
Moakley	0.0618205
"Lenny Wilkens"	0.0617346
Camacho	0.0616103
Weil	0.061575
Aliotti	0.0614805
"Jim Nicholson"	0.0613033
Griese	0.0611804
Meissner	0.0611431
Joyner-Kersee	0.0609601
Donahue	0.0609388
Marquez	0.0608398
DeBerg	0.0608341
Kenseth	0.0607993
Wilkens	0.060674
Moog	0.060647
Roenick	0.0605974
Venables	0.0605787
Neilson	0.0605581
"Karim Abdul-Jabbar"	0.0605412
O'Sullivan	0.0604283
Westphal	0.0603732
Wan	0.0603294
Ferrer	0.0602958
Harkes	0.0602337
Odom	0.0602292
Gugliotta	0.0602155
Bergeron	0.0602043
Clooney	0.0601682
Auerbach	0.0601455
Schaeuble	0.0601294
Messier	0.0600863
Zanardi	0.0600786
Waltrip	0.0600764
Brister	0.05998
lacy	0.0598095
Hackett	0.0597717
Vieri	0.0597306
"Magic Johnson"	0.0596652
Tomko	0.0595913
beamer	0.0595731
Frye	0.0595285
Ainge	0.0595233
Akers	0.0592562
Harmoko	0.0592334
Kearin	0.0592058
Allard	0.0590122
Atler	0.0589994
Bierhoff	0.0589825
Knox	0.058975
Mullin	0.0589736
Sherrill	0.0588677
Cummings	0.0587935
Gibbons	0.0587411
Rahal	0.0587204
Glover	0.0586999
MacLean	0.0585327
Hendrickson	0.0585181
Coffey	0.0584991
"Maturino Resendiz"	0.058382
Langdon	0.0581893
Stoneman	0.0581564
Lavin	0.0581438
Butterworth	0.0580604
Grossman	0.058056
Mikhailov	0.0580236
Kelleher	0.0579971
"Julius Erving"	0.057856
Ramsey	0.0578331
Shinn	0.0578226
Garrett	0.0577954
Torvalds	0.0577572
Rosenblatt	0.0577448
Cortines	0.0576876
Tobin	0.0574224
Madsen	0.0573067
Helton	0.0573017
Wagoner	0.0572853
Sobel	0.0571853
"Fred Claire"	0.0571731
Howe	0.0571366
Poole	0.057122
Sather	0.0570705
Copeland	0.0570336
Carroll	0.0569174
Slocum	0.0568758
Olson	0.0568667
"Del Toro"	0.0565993
))
(Abdullah (desc 17417.3) (sims
"King Abdullah"	0.187221
Hassan	0.185803
Mubarak	0.178913
Hussein	0.163945
Moussa	0.155428
Aziz	0.148619
Chirac	0.148033
"King Hussein"	0.147366
Qian	0.146701
Dini	0.14505
Velayati	0.140895
Gujral	0.140656
Komura	0.140586
Assad	0.139961
Fahd	0.139713
Cem	0.139405
Demirel	0.139241
Saleh	0.138571
Mandela	0.137584
al-Assad	0.137359
Bashar	0.135291
Mkapa	0.134316
Sihanouk	0.134108
Primakov	0.131857
"de Charette"	0.13159
Vajpayee	0.131132
Abubakar	0.131055
Constantinescu	0.13059
Ivanov	0.130229
Lahoud	0.129842
Solana	0.129374
Stoyanov	0.129321
Sergeyev	0.1293
Ikeda	0.128801
Hamad	0.128755
Hasina	0.128441
Kharrazi	0.128228
Phieu	0.126936
Kabariti	0.126353
Prodi	0.125919
Moratinos	0.125624
Putin	0.125561
al-Sharaa	0.125124
Weizman	0.124912
Arafat	0.124893
Daley	0.124717
Jayakumar	0.124546
Albright	0.123956
Tung	0.123673
Gaddafi	0.123478
Abdel-Meguid	0.123476
Khaddam	0.122716
Jiang	0.121774
Hashimoto	0.119803
Pangalos	0.119321
Qiao	0.118897
Klima	0.118567
"Bashar Assad"	0.118463
Clerides	0.11837
Annan	0.11816
Hariri	0.117736
Mordechai	0.117716
Hamzah	0.116979
Axworthy	0.116402
Shareh	0.115268
Peres	0.115015
Mbeki	0.114964
Khatami	0.114535
Obuchi	0.11393
Wahid	0.113268
Museveni	0.113215
Luong	0.113162
Mugabe	0.113095
Ecevit	0.112546
Vedrine	0.112536
Sharon	0.112479
Majali	0.112362
Chavalit	0.112316
"Chuan Leekpai"	0.112107
"King Abdullah Bin Hussein"	0.112081
Mori	0.111363
Zhu	0.11128
"Li Peng"	0.110883
Chretien	0.110444
Prince	0.110405
Moi	0.109795
"Saudi King Fahd Ibn Abdul-Aziz"	0.109749
Nazarbayev	0.109345
"Than Shwe"	0.109241
Lipponen	0.109056
Kok	0.109019
Ahmed	0.10888
Zeroual	0.108778
Ahtisaari	0.108509
Ikimi	0.108182
Azad	0.108168
Menem	0.108093
Goh	0.107964
Kinkel	0.107937
Simitis	0.107505
Rifkind	0.107404
Blair	0.107365
"Atal Bihari Vajpayee"	0.107304
Leghari	0.107044
Chissano	0.10688
Ruehe	0.10688
Jovanovic	0.106819
"crown prince"	0.106695
Chiluba	0.106591
Cohen	0.106388
Rakhmonov	0.105732
Nujoma	0.105704
Barak	0.105618
Yeltsin	0.10544
Christopher	0.105422
Santer	0.105377
Mahathir	0.105183
Talbott	0.105116
"Kim Jong Il"	0.105062
Kuchma	0.104918
Kim	0.104637
Kasoulides	0.104346
Chernomyrdin	0.104152
Chuan	0.103964
Hu	0.103888
Stepashin	0.103032
Tsang	0.102882
Rafsanjani	0.102478
Meles	0.102344
Wolfensohn	0.102285
Fischer	0.102213
Habibie	0.101618
Shevardnadze	0.101604
Karimov	0.10141
"Yevgeny Primakov"	0.101363
Musharraf	0.101201
Pastrana	0.100634
Sharif	0.10043
Guterres	0.100377
Ahern	0.100355
tang	0.100127
emir	0.0998932
Brahimi	0.0996808
Alatas	0.0995651
Akayev	0.0995406
"Jordanian King Hussein"	0.0994858
"Ehud Barak"	0.0994567
Scalfaro	0.0994038
Orban	0.0993202
Rodionov	0.0989793
Obasanjo	0.0988472
Hoss	0.0979795
Kono	0.0979793
D'Alema	0.0978369
Hrawi	0.0976643
"King Abdullah II"	0.0976232
"Jordanian King Abdullah Bin Hussein"	0.0972835
Estrada	0.0972603
"Tang Jiaxuan"	0.0971971
Camdessus	0.0971938
Gadhafi	0.0971266
Obeid	0.0969519
Narayanan	0.0969469
"King Fahd"	0.0966294
Aznar	0.096415
Diouf	0.0963894
Lukashenko	0.0962054
"Atal Behari Vajpayee"	0.0960371
"King Norodom Sihanouk"	0.0958359
Schuessel	0.0957745
Zou	0.0951831
"Vladimir Putin"	0.0950683
Ganzouri	0.0949218
Niyazov	0.0948276
"John Paul"	0.0948203
Surin	0.0948188
"Mahathir Mohamad"	0.0947292
"William Cohen"	0.0946481
"Inder Kumar Gujral"	0.0946422
Holbrooke	0.0943647
"Chavalit Yongchaiyudh"	0.09407
Banharn	0.0939994
Yassin	0.0937377
"Hosni Mubarak"	0.0935953
Rashid	0.093574
"Binyamin Netanyahu"	0.0933495
Shi	0.0932588
al-Shara	0.0931471
Li	0.0930976
"Amr Moussa"	0.0930882
Mohammed	0.0930317
Netanyahu	0.0930275
Nzo	0.0927533
Granic	0.0927082
Frei	0.0925088
Koirala	0.0924709
Al-Faisal	0.0924398
Odai	0.0922916
Azizah	0.0918756
Prueher	0.091789
))
("Abdullah Ahmad Badawi" (desc 1130.3) (sims
"Tang Jiaxuan"	0.350367
"Lamberto Dini"	0.308017
"David Levy"	0.307272
"Klaus Kinkel"	0.306372
"Igor Ivanov"	0.304399
"Sartaj Aziz"	0.297331
"Kamal Kharrazi"	0.2858
"Tim Fischer"	0.285335
"Ismail Cem"	0.284545
"Amnuay Virawan"	0.276425
"Jaswant Singh"	0.259181
"Hubert Vedrine"	0.255804
"Lee Hsien Loong"	0.249202
"Qian Qichen"	0.243802
"Amr Moussa"	0.240904
"Joschka Fischer"	0.234834
"Michael Heseltine"	0.231454
"Igor Sergeyev"	0.225077
"Robin Cook"	0.215491
"John Prescott"	0.210032
"Supachai Panitchpakdi"	0.203688
"Ivan Kostov"	0.198964
"Tareq Aziz"	0.194548
al-Shara	0.186845
"Ariel Sharon"	0.182322
"Radu Vasile"	0.182101
"Bizima Karaha"	0.181075
"Tariq Aziz"	0.180379
"Tansu Ciller"	0.176883
"Vo Van Kiet"	0.176036
"Wolfgang Schuessel"	0.173217
"I.K Gujral"	0.172643
"Yasser Abed Rabbo"	0.172253
Jayakumar	0.170723
"Yuri Maslyukov"	0.170482
"Phan Van Khai"	0.168183
"Prince Saud Al-Faisal"	0.167658
"Valery Pustovoitenko"	0.166311
Al-Faisal	0.16598
"Bulent Ecevit"	0.1658
"Inder Kumar Gujral"	0.165759
"Atef Obeid"	0.164528
"John Bruton"	0.164447
"Ung Huot"	0.160747
"Lokendra Bahadur Chand"	0.158504
"Wim Kok"	0.157967
"Jacques Chirac"	0.157595
"John Anderson"	0.15686
Boueiz	0.156083
"Abdul Karim Kabariti"	0.155345
"Mikhail Kasyanov"	0.154318
"George Robertson"	0.15418
al-Khatib	0.152016
"Paavo Lipponen"	0.151779
"Salim Hoss"	0.149894
"Mesut Yilmaz"	0.149702
"Bertie Ahern"	0.149549
"Goran Persson"	0.149507
"Yitzhak Mordechai"	0.148421
al-Sahhaf	0.147589
"Jerzy Buzek"	0.14626
"Ieng Sary"	0.146162
"Atal Bihari Vajpayee"	0.144447
"Mahathir Mohamad"	0.142628
"Anwar Ibrahim"	0.142436
"Fernando Henrique Cardoso"	0.14198
"Chi Haotian"	0.140689
"Yossi Sarid"	0.139898
"Boris Nemtsov"	0.139727
al-Sharaa	0.138643
"Suleyman Demirel"	0.138146
el-Ganzouri	0.137948
"Natan Sharansky"	0.136365
"Vaclav Klaus"	0.13501
"Chavalit Yongchaiyudh"	0.134915
"Seamus Mallon"	0.1348
"Chuan Leekpai"	0.134425
Ivanov	0.134391
"Paul Kagame"	0.134337
"Michael Portillo"	0.133757
"Thabo Mbeki"	0.133214
"Than Shwe"	0.132764
"Alexander Lukashenko"	0.132581
"Carlos Menem"	0.130239
"Wang Daohan"	0.128627
Khai	0.128402
"Ernesto Zedillo"	0.127756
"Jean Chretien"	0.127617
al-Hariri	0.127518
"Atal Behari Vajpayee"	0.127391
"Necmettin Erbakan"	0.126756
"Romano Prodi"	0.126728
"Deve Gowda"	0.126698
"Jose Maria Aznar"	0.126378
"Hosni Mubarak"	0.125932
"Fayez Tarawneh"	0.125866
"Mikulas Dzurinda"	0.125393
"Costas Simitis"	0.124459
"Pascoal Mocumbi"	0.123826
"Benazir Bhutto"	0.123548
"Yevgeny Primakov"	0.123321
"Secretary General Esmat Abdul-Meguid"	0.120937
"Strobe Talbott"	0.120715
"Goh Chok Tong"	0.119628
Hasina	0.119293
"Boris Fyodorov"	0.118971
"Abidine Ben Ali"	0.118364
"John Major"	0.117445
"Xie Zhenhua"	0.11733
"Rafik Hariri"	0.117185
"Robert Mugabe"	0.116764
"Alberto Fujimori"	0.116377
"Victor Chernomyrdin"	0.115968
"Meles Zenawi"	0.115489
Harmoko	0.115197
"Frederick Sumaye"	0.114963
"Jenny Shipley"	0.114201
"Vuk Draskovic"	0.112649
Mohamad	0.112467
Vedrine	0.112075
"Keizo Obuchi"	0.112043
"Girija Prasad Koirala"	0.111998
Aziz	0.111568
"Alain Juppe"	0.11016
"H.D Deve Gowda"	0.10971
Axworthy	0.108761
al-Bashir	0.108677
Shareh	0.107829
"Saeb Erekat"	0.107771
"Sheikh Hasina"	0.106849
"Vojislav Seselj"	0.10653
"John Howard"	0.106423
Mkapa	0.106329
"Li Peng"	0.106183
"Mohammad Khatami"	0.105689
"Pasteur Bizimungu"	0.105642
Igor	0.105276
"Yoweri Museveni"	0.105179
"Alexander Shokhin"	0.105079
"P.V Narasimha Rao"	0.10466
Nazarbayev	0.104087
"Cyril Ramaphosa"	0.103837
"Koo Chen-fu"	0.103653
"Shi Guangsheng"	0.102694
"Kim Yong Nam"	0.102499
"Nabil Shaath"	0.102381
"Wu Yi"	0.101967
"Li Zhaoxing"	0.101562
"Bashkim Fino"	0.10129
"Zhu Rongji"	0.101174
Shara	0.10052
"Kiichi Miyazawa"	0.100089
"Vladimir Yakovlev"	0.099719
Tella	0.099458
"Prime Minister Kamal El-Ganzouri"	0.0991862
"Mahmoud Abbas"	0.0991075
Habib	0.0990087
"Antonio Guterres"	0.0986609
Gurirab	0.0982789
"Martin McGuinness"	0.0981747
Chretien	0.0981066
"William Cohen"	0.0979829
Ibrahim	0.0977127
Kavan	0.0976384
"Jamil Mahuad"	0.097625
"Viktor Chernomyrdin"	0.0975614
"Saudi King Fahd Ibn Abdul-Aziz"	0.0975091
"Binyamin Netanyahu"	0.0963787
"Abu Mazen"	0.0959857
"Pakalitha Mosisili"	0.0957491
Barshefsky	0.095711
"Joaquim Chissano"	0.0955977
"Yoshiro Mori"	0.0954364
"Nawaz Sharif"	0.0945503
"Paul Keating"	0.0941324
"Abdul Salam Majali"	0.0936871
Ikimi	0.0936621
"Shimon Peres"	0.0934745
Simitis	0.0929499
"Hanan Ashrawi"	0.0929074
Clerides	0.0926215
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.092435
Siazon	0.0920678
Kinkel	0.0919426
Ouattara	0.0911063
"Lionel Jospin"	0.0910551
Ganzouri	0.0910489
"William Perry"	0.090231
Dehaene	0.0897538
"Gulbuddin Hekmatyar"	0.0897008
Goh	0.0896968
Pangalos	0.0892128
"Andres Pastrana"	0.0886292
"Lawrence Summers"	0.0885855
"Joseph Estrada"	0.0881132
Ecevit	0.0878628
al-Sahaf	0.0878266
Scalfaro	0.087569
"Ryutaro Hashimoto"	0.087543
"Leon Brittan"	0.0873423
))
("Abdullah Ocalan" (desc 5852.86) (sims
Ocalan	0.249835
"Foday Sankoh"	0.17842
"Xanana Gusmao"	0.154697
"Ta Mok"	0.154165
Priebke	0.134045
"William Hague"	0.129212
Shayler	0.128005
"Augusto Pinochet"	0.126047
"Pol Pot"	0.122083
"Roosevelt Johnson"	0.118968
"Aryeh Deri"	0.116714
"Bizima Karaha"	0.111208
"Sam Rainsy"	0.109767
"Abu Nidal"	0.10976
Ntuyahaga	0.108247
"Kurdish Workers Party"	0.107061
Papon	0.106915
"Joseph Bruno"	0.1069
"Iranian Jews"	0.105466
Osama	0.1054
"Moshood Abiola"	0.102401
"Hashim Thaci"	0.101514
"Khieu Samphan"	0.101453
"Gennady Zyuganov"	0.101287
Sankoh	0.100646
"Wang Dan"	0.0996209
"Wolfgang Schaeuble"	0.0965227
"Li Hongzhi"	0.0943675
Pinochet	0.0940555
PKK	0.0940304
"Jonas Savimbi"	0.0939126
"David Duke"	0.0929853
"Kim Il Sung"	0.0929115
"Radovan Karadzic"	0.092852
Wamba	0.0923557
Kaunda	0.0917709
Ntakirutimana	0.0911025
"Moammar Gadhafi"	0.0904957
"Pervez Musharraf"	0.0903057
Lazarenko	0.0900496
"Kurdistan Workers Party"	0.0894217
Libyan	0.0893417
Einhorn	0.0892705
Karbaschi	0.0885679
"Ayatollah Ali Khamenei"	0.0877971
"Ieng Sary"	0.0872905
Al-Amin	0.0871573
"Zoran Djindjic"	0.0869402
"Amien Rais"	0.0868964
"Ibrahim Rugova"	0.0863529
"Aslan Maskhadov"	0.0858534
"Anwar Ibrahim"	0.0846821
"Xu Wenli"	0.0842152
"Manuel Noriega"	0.0835366
"Shamil Basayev"	0.0828481
"Yossi Sarid"	0.0827535
Sheinbein	0.0818266
"Richard Gephardt"	0.0812029
Gusmao	0.0810905
Agca	0.0802903
Cavallo	0.0802669
"Aung San Suu Kyi"	0.0800983
Laden	0.0794125
"Vojislav Seselj"	0.0787738
Chand	0.0787208
"Khun Sa"	0.0787137
Yazdi	0.0785783
Bove	0.0784993
Montesinos	0.0779393
Noriega	0.0774056
"Megawati Sukarnoputri"	0.0766821
Oviedo	0.0760133
"Louise Woodward"	0.0758756
"murder suspect"	0.0754989
"Ariel Sharon"	0.0754065
"war criminal"	0.0750344
"Mikhail Gorbachev"	0.074909
Kalejs	0.0748908
"Wang Youcai"	0.0744449
"Alexander Shokhin"	0.074243
"Vuk Draskovic"	0.0739855
"Ali Mahdi Mohamed"	0.0738933
Gusinsky	0.073507
"Kurdish Workers"	0.073225
Raduyev	0.0731141
"Vladimir Zhirinovsky"	0.0727769
"Necmettin Erbakan"	0.0725003
Deri	0.0724663
Sebaggala	0.0722148
"Ahmed Ressam"	0.0718554
"Del Toro"	0.0718282
fugitive	0.071409
"Martin Lee"	0.0713533
"Theodore Kaczynski"	0.0713093
Savimbi	0.0712995
"Gerry Adams"	0.0708688
Imperatori	0.0706201
"John Hume"	0.0703454
Khamenei	0.070079
D-Mo.	0.0700628
"Silvio Berlusconi"	0.069721
"Johnny Paul Koroma"	0.0696852
Karadzic	0.069667
"Kim Jong Il"	0.0696086
"Jonathan Pollard"	0.0693569
"Rashid Dostum"	0.0691931
"Sonia Gandhi"	0.069154
McVeigh	0.0686989
"Ian Paisley"	0.0683388
"Mikulas Dzurinda"	0.0682455
"drug trafficker"	0.0680483
"Dinko Sakic"	0.067944
chieftain	0.0676768
"army officer"	0.0674892
"Lino Oviedo"	0.0671363
"Andrei Babitsky"	0.0666733
"John Taylor"	0.0665894
plotter	0.0664497
"Sali Berisha"	0.0661188
"George Speight"	0.0656562
Berisha	0.0654477
snakehead	0.0652957
"Robert Guei"	0.0651998
Speight	0.0651141
"Grigory Yavlinsky"	0.0647416
"Joerg Haider"	0.0643936
"Osama Bin Laden"	0.0642951
"Khaleda Zia"	0.0642592
Hofer	0.0641088
Frankel	0.0640598
"Wolfgang Schuessel"	0.0640162
"Mesut Yilmaz"	0.0637867
"Martin McGuinness"	0.0635868
"Terry Nichols"	0.0632518
Sacco	0.063143
Resendez-Ramirez	0.0629952
"David Koresh"	0.0629836
"Dick Gephardt"	0.0628311
Dirani	0.0624472
"Richie Phillips"	0.0624449
Djindjic	0.062375
"Gulbuddin Hekmatyar"	0.0623167
"Megawati Soekarnoputri"	0.0621459
Anwar	0.0621272
"Howard Baker"	0.0620201
"Vladimiro Montesinos"	0.0619534
"Angel Maturino Resendiz"	0.061863
"Chavalit Yongchaiyudh"	0.0618393
Ressam	0.0617836
dissident	0.0617121
"Ho Chi Minh"	0.0615074
Kazhegeldin	0.0614858
Gannon	0.0612664
"Davy Crockett"	0.0612552
"Tom Daschle"	0.0611765
Faulder	0.0611415
"Yasser Arafat"	0.0610519
"Hussein Mohamed Aidid"	0.0610449
Nikitin	0.0607293
"David Trimble"	0.0604816
"Ayatollah Ruhollah Khomeini"	0.0601829
"Abdollah Nouri"	0.060071
Berenson	0.0598872
Xanana	0.0597603
"Than Shwe"	0.0594798
"Natan Sharansky"	0.0594753
"political dissident"	0.0593266
Sakic	0.0593073
Mitnick	0.0593023
dictator	0.059204
"Dick Armey"	0.0591772
"Ruiz Massieu"	0.0590589
Hijacker	0.0584921
"Abdurrahman Wahid"	0.0582786
"Azem Hajdari"	0.0580008
"Bulent Ecevit"	0.0579254
"Tansu Ciller"	0.0578484
"Sheikh Ahmed Yassin"	0.0577477
Suharto	0.0577037
"Adem Demaci"	0.0576934
Zapatistas	0.0576663
"Helen Clark"	0.0576536
"Jean-Marie Le Pen"	0.0576113
Gotti	0.0575609
"Suu Kyi"	0.0574912
Sheik	0.0574687
"intelligence agent"	0.0574052
"Timothy McVeigh"	0.0573671
"Yukio Hatoyama"	0.057363
"De Klerk"	0.0571494
Mattysse	0.0570837
Taloqan	0.0570466
"Hussein Aidid"	0.0570412
"Louis Farrakhan"	0.057036
kingpin	0.0569806
"drug lord"	0.0568705
Ibrahim	0.0567994
"Le Kha Phieu"	0.0567224
leeson	0.0566759
Swango	0.0566439
))
("Abdulsalam Abubakar" (desc 3381.59) (sims
"Abdulsalami Abubakar"	0.48833
"Pervez Musharraf"	0.341132
"Robert Guei"	0.293657
"Olusegun Obasanjo"	0.282202
"Sani Abacha"	0.257711
Abubakar	0.246545
"Pervaiz Musharraf"	0.241712
"Omar Torrijos"	0.229822
"Salim Saleh"	0.203027
"John Shalikashvili"	0.176563
"Victor Malu"	0.167998
"Oladipo Diya"	0.166776
"Wolfgang Schaeuble"	0.160532
"Klaus Naumann"	0.15978
"Shaul Mofaz"	0.151433
"Maung Aye"	0.150768
"Joseph Ralston"	0.147728
"Lino Oviedo"	0.144176
"Manuel Noriega"	0.143863
"Than Shwe"	0.142777
"Johnny Paul Koroma"	0.140604
"Paul Kagame"	0.138531
"Pierre Buyoya"	0.135027
Wiranto	0.13416
"Khin Nyunt"	0.131896
"Henry H. Shelton"	0.131854
Malu	0.128329
"Moammar Gadhafi"	0.126813
"Chavalit Yongchaiyudh"	0.125581
"Xiong Guangkai"	0.123745
"Vladimir Yakovlev"	0.122309
"Ansumane Mane"	0.119399
Sutiyoso	0.11613
"Ratko Mladic"	0.116102
"Ariel Sharon"	0.115574
Musharraf	0.115561
"Renato Ruggiero"	0.113768
"Norman Schwarzkopf"	0.113626
"B.J Habibie"	0.112835
"Tin Oo"	0.112408
"Kim Jong Il"	0.112165
Obasanjo	0.112103
"Francisco Franco"	0.111777
Abacha	0.109098
"Zhang Wannian"	0.108679
"Aslan Maskhadov"	0.1083
"Henry Shelton"	0.108296
"Hugh Shelton"	0.107666
"Hafez Assad"	0.107538
"Fu Quanyou"	0.107391
"Yoshiro Mori"	0.106106
"Douglas MacArthur"	0.105683
"Bashar Assad"	0.105515
"Chi Haotian"	0.10482
"Charles de Gaulle"	0.10308
Buyoya	0.100906
"Xanana Gusmao"	0.100102
"Aryeh Deri"	0.0992843
"Igor Sergeyev"	0.0973881
"Alexander Lebed"	0.097223
Guei	0.095493
"Mike Moore"	0.0945826
Schaeuble	0.0943907
"Vladimir Meciar"	0.0943867
Scalfaro	0.0939614
"Wesley Clark"	0.0939238
"Ayatollah Ali Khamenei"	0.0931771
"Ramsey Clark"	0.0928774
"Ta Mok"	0.0916301
"Robert Ray"	0.0913337
"Gro Harlem Brundtland"	0.0909856
"Augusto Pinochet"	0.0902876
"Nur Misuari"	0.0902519
"Hashim Thaci"	0.0898155
"Milos Zeman"	0.0873975
"Mikulas Dzurinda"	0.0873541
"Necmettin Erbakan"	0.0872092
"John Prescott"	0.0871947
"Fatos Nano"	0.086199
"Barry R. McCaffrey"	0.0861259
Zeroual	0.0858782
"Barry McCaffrey"	0.0844067
"Mike Jackson"	0.0841052
"George Robertson"	0.0831623
"Thabo Mbeki"	0.0828082
"Tung Chee-Hwa"	0.0823573
Pustovoitenko	0.0819364
Ghalib	0.081689
"William Hague"	0.0814582
Bedie	0.0814211
Abdullah	0.0813472
"Deve Gowda"	0.0812422
Ikeda	0.0806566
"Yasser Arafat"	0.0803094
"David Hale"	0.0801888
"King Abdullah"	0.0801082
"John Major"	0.0799379
"Kim Jong-pil"	0.0799036
Rua	0.0798568
"Mesut Yilmaz"	0.0794842
"H.D Deve Gowda"	0.0793207
"Wlodzimierz Cimoszewicz"	0.0788938
Dehaene	0.0788549
el-Bashir	0.0785894
"Chea Sim"	0.0782816
"Javier Solana"	0.0781919
Santos	0.078027
"Kim Yong Nam"	0.0776255
"Eric Holder"	0.077435
"Krishna Prasad Bhattarai"	0.0770773
Ruehe	0.0768933
Tarawneh	0.076886
"Ulysses S. Grant"	0.0760539
Venables	0.0760468
"Prime Minister Banharn Silpa-Archa"	0.075899
"Vladimir Putin"	0.0757416
"Bora Milutinovic"	0.0756273
Velayati	0.0753034
"Begum Khaleda Zia"	0.0751491
Masire	0.0749751
"Prime Minister Kamal El-Ganzouri"	0.0749507
"M. Douglas Ivester"	0.0749122
"Jonas Savimbi"	0.0748562
"Roosevelt Johnson"	0.0748177
Constantinescu	0.0742151
"Atal Behari Vajpayee"	0.0740475
"Fidel Castro"	0.0738865
"Amien Rais"	0.0737706
"Alija Izetbegovic"	0.0737193
Rodionov	0.0737102
"Mikhail Kasyanov"	0.0736075
"Sergei Stepashin"	0.0734081
Habibie	0.073339
"De Soto"	0.0730889
"William Daley"	0.07308
"Alain Juppe"	0.0729913
"Chief Executive Tung Chee-hwa"	0.0729381
Thani	0.0729365
"Laurent Kabila"	0.0728206
"Sonia Gandhi"	0.0726954
"Le Kha Phieu"	0.0726512
president-elect	0.0726154
"Kim Il Sung"	0.072285
Gaddafi	0.0720848
"Foday Sankoh"	0.071695
Narayanan	0.0716439
"Abdurrahman Wahid"	0.071402
"de Charette"	0.0713786
"Gerry Adams"	0.071374
"Juan Antonio Samaranch"	0.0713653
"Michael Jackson"	0.0708964
"Hugo Chavez"	0.0707218
"Bill Lockyer"	0.0707022
"Colin Powell"	0.0706795
"Chuan Leekpai"	0.0706347
Guterres	0.0705141
Ralston	0.0703572
Bouteflika	0.0703338
Phieu	0.0702043
Xanana	0.0699988
"Robert Aventajado"	0.0699599
"Bashkim Fino"	0.0697786
"Liu Huaqing"	0.0697061
"Ivan Kostov"	0.0696926
Klestil	0.0696765
Wolfensohn	0.0693849
"Yitzhak Mordechai"	0.0691576
Yandarbiyev	0.0691281
"Vaclav Klaus"	0.0689785
"Jose Maria Aznar"	0.0687569
"Robert E. Lee"	0.068686
Aideed	0.0685689
"Valery Pustovoitenko"	0.0680539
Al-Thani	0.0678343
"Yevgeny Primakov"	0.0677182
"Kim Dae Jung"	0.0672582
"Sergei Kiriyenko"	0.0670823
"Benazir Bhutto"	0.0669676
"Defense William Cohen"	0.0669106
"Richard Blumenthal"	0.0668925
"Huang Ju"	0.0665566
Cubas	0.0665508
"Martin Lee"	0.0665464
"John Howard"	0.0665305
Jayakumar	0.0665211
"Jordanian King Abdullah Bin Hussein"	0.0663201
"Ibrahim Rugova"	0.0662299
"Richard Butler"	0.066208
Stepashin	0.0661315
Majali	0.0660646
"military leader"	0.0660542
Harmoko	0.0660325
CEC	0.065981
Omar	0.0658256
"Dwight D. Eisenhower"	0.0655735
"Marzuki Darusman"	0.0655256
"Helen Clark"	0.065484
"Bill Lann Lee"	0.0654296
"Bill Skate"	0.065374
"Ernesto Zedillo"	0.0652753
))
("Abdulsalami Abubakar" (desc 2188.01) (sims
"Abdulsalam Abubakar"	0.48833
"Robert Guei"	0.395214
"Pervez Musharraf"	0.350317
"Olusegun Obasanjo"	0.284828
"Pervaiz Musharraf"	0.263237
"Sani Abacha"	0.262229
"Omar Torrijos"	0.261989
Abubakar	0.220084
"B.J Habibie"	0.179546
"Johnny Paul Koroma"	0.173645
"John Shalikashvili"	0.169486
"Maung Aye"	0.155588
"Oladipo Diya"	0.151021
"Joseph Ralston"	0.146263
"Ratko Mladic"	0.133256
"Than Shwe"	0.131455
"Pierre Buyoya"	0.130682
"Lino Oviedo"	0.127717
"Manuel Noriega"	0.127411
Wiranto	0.123969
"Salim Saleh"	0.123714
"Klaus Naumann"	0.121486
Klerk	0.119201
"Khin Nyunt"	0.118976
"Renato Ruggiero"	0.118973
"Paul Kagame"	0.117958
"Xiong Guangkai"	0.117356
"Charles de Gaulle"	0.112071
"Ernesto Zedillo"	0.111742
Abacha	0.111632
"Bashar Assad"	0.111375
"Hafez Assad"	0.110694
"Chief Executive Tung Chee-hwa"	0.110496
"Ansumane Mane"	0.110483
"Augusto Pinochet"	0.110326
"Kim Dae Jung"	0.109089
"Pandeli Majko"	0.108561
Sutiyoso	0.108119
"Chavalit Yongchaiyudh"	0.10748
Scalfaro	0.107081
"Vladimir Yakovlev"	0.10685
"Ramsey Clark"	0.106631
"Zhang Wannian"	0.106432
"Henry H. Shelton"	0.104911
"Tin Oo"	0.1035
Ershad	0.101007
Koroma	0.0999928
"Chea Sim"	0.0998909
"Aslan Maskhadov"	0.0998353
Musharraf	0.0996039
"Shaul Mofaz"	0.0993302
"Kim Jong Il"	0.097804
Habibie	0.0959412
"Barry McCaffrey"	0.0947944
"Thabo Mbeki"	0.0944904
"Hugh Shelton"	0.0941046
"Igor Sergeyev"	0.0938747
"Yoshiro Mori"	0.0937787
"Tung Chee-Hwa"	0.0929462
Obasanjo	0.0926948
"Joseph Estrada"	0.0922934
"Douglas MacArthur"	0.0921723
Velayati	0.0919125
"Chi Haotian"	0.0916651
"Robert Ray"	0.0914765
"Charles Taylor"	0.0910773
"Lokendra Bahadur Chand"	0.0899339
Ikeda	0.0898577
Masire	0.0891957
"Gro Harlem Brundtland"	0.0886062
Malu	0.0881899
Kasoulides	0.0880326
"Mike Moore"	0.087975
"Michel Camdessus"	0.087651
"Norman Schwarzkopf"	0.087569
"Abdurrahman Wahid"	0.0870997
Shui-bian	0.087032
"Fernando Henrique Cardoso"	0.0868848
"Deve Gowda"	0.0868101
Orban	0.0866405
Neeman	0.0864304
"Henry Shelton"	0.0860918
Koirala	0.0853876
"Dwight D. Eisenhower"	0.0852391
Guei	0.0846922
"Fu Quanyou"	0.0846436
"Alexander Lebed"	0.08449
president-elect	0.0837927
"Ulysses S. Grant"	0.0832438
Bolger	0.0830132
Bhattarai	0.0828023
"Sonia Gandhi"	0.0825949
Bruton	0.0825424
"Jamil Mahuad"	0.0823609
"Mikulas Dzurinda"	0.0823357
Buyoya	0.0819833
"Wesley Clark"	0.0819618
Azad	0.0817871
Siazon	0.0813846
"Wolfgang Schaeuble"	0.0813779
Wolfensohn	0.0810699
"Huang Ju"	0.0809882
"Moammar Gadhafi"	0.0806706
"John Sweeney"	0.0805788
"H.D Deve Gowda"	0.0801894
Kumaratunga	0.0801436
"Mohammad Khatami"	0.0800517
"King Abdullah"	0.0796503
"Romano Prodi"	0.0789732
"Kim Yong Nam"	0.0789608
"Kim Il Sung"	0.078133
"Franjo Tudjman"	0.0780509
"Harry S. Truman"	0.0780229
"Laurent Kabila"	0.077666
"Mike Jackson"	0.0775543
"John Major"	0.0775448
Lari	0.0768885
"Victor Malu"	0.076882
"King Mswati III"	0.0767502
"Vladimir Putin"	0.0764223
"Prime Minister Banharn Silpa-Archa"	0.0761392
"U.S. Soccer Federation"	0.0757532
"Nelson Mandela"	0.0756435
"John Prescott"	0.0753167
Bouteflika	0.0751496
"Lawrence Summers"	0.0749713
"King Sihanouk"	0.0747935
"Barry R. McCaffrey"	0.0742305
Muluzi	0.0739369
"King Abdullah Bin Hussein"	0.073823
Zeroual	0.0737872
Omar	0.0737634
Fino	0.073655
"William Perry"	0.0735679
Blatter	0.0733875
"Robert Mugabe"	0.0731991
"Yasser Arafat"	0.0731861
Klima	0.072746
Rossotti	0.0726337
"Sepp Blatter"	0.0724989
"James P. Hoffa"	0.0723037
Rua	0.0721977
"Wlodzimierz Cimoszewicz"	0.0718037
"Juan Antonio Samaranch"	0.0717648
Komura	0.0716321
Rakhmonov	0.0715469
"Bill Skate"	0.0715324
"Jenny Shipley"	0.0714216
Nujoma	0.0713647
Kerik	0.0712812
Stoyanov	0.071208
"Prime Minister Kamal El-Ganzouri"	0.0711272
"Girija Prasad Koirala"	0.0710357
Nemtsov	0.0710029
"Antonio Guterres"	0.0706496
"Jacques Santer"	0.0702785
Fuente	0.0702124
Vasile	0.0698504
"Gerry Adams"	0.0690473
Juppe	0.0689168
"military leader"	0.0688624
"Sher Bahadur Deuba"	0.0686423
"President Kim Young-sam"	0.0684215
"King Birendra"	0.0684035
Guterres	0.0683545
"Robert E. Lee"	0.0681444
Ghalib	0.0681301
"Bill Richardson"	0.0681077
Jayalalitha	0.0680972
Mori	0.0680678
Rodionov	0.0679369
Sahnoun	0.0677822
McCaffrey	0.0675926
Nkomo	0.0668676
"Wim Duisenberg"	0.0667779
Klestil	0.0666197
"Ricardo Lagos"	0.0664441
"Robert Rubin"	0.0664064
"Francisco Franco"	0.066343
"Esmat Abdel Meguid"	0.066176
"Salim Hoss"	0.066078
Mkapa	0.0660532
Troussier	0.0659476
"Jacques Chirac"	0.0659067
"Secretary General Esmat Abdel-Meguid"	0.0658943
Wahid	0.0658553
"Hugo Chavez"	0.0658438
Chavalit	0.0658233
"Costas Simitis"	0.0657443
Rifkind	0.0657332
Alatas	0.0657059
D'Alema	0.0656513
Venables	0.0655677
Chiluba	0.0655614
"de Charette"	0.0655595
"Helen Clark"	0.0654975
"William Daley"	0.0654091
"Xanana Gusmao"	0.0653512
Xanana	0.0652482
Simitis	0.0652446
))
(Abdur-Rahim (desc 827.152) (sims
Najera	0.19002
"Van Exel"	0.145833
Reichel	0.141777
Nesby	0.135875
Moiso	0.129472
Hornacek	0.127073
Scalabrine	0.126941
Olowokandi	0.125546
Muoneke	0.125008
Jeffers	0.125007
Szczerbiak	0.123447
Turgeon	0.121983
Alicea	0.119758
Polynice	0.116931
"Di Canio"	0.116795
Ceballos	0.116622
Fizer	0.11462
Sabonis	0.114546
McGrady	0.113985
Garnett	0.112944
Duchesne	0.110892
Harbaugh	0.109213
Laettner	0.107613
Stoudamire	0.107133
McCloud	0.106779
Holdsclaw	0.10671
Hightower	0.106543
Plante	0.106532
Godfrey	0.10601
McDyess	0.105842
Nowitzki	0.105424
Webber	0.103545
Gatling	0.102667
Mobley	0.102422
Gillom	0.101508
Odom	0.101358
Redd	0.10133
Cepeda	0.101024
Kearse	0.100774
Artest	0.100106
"Glenn Robinson"	0.0978493
Mihm	0.096894
Croshere	0.0961907
Enis	0.0961049
Yzerman	0.0960401
Norstrom	0.0957118
"Akili Smith"	0.0948616
Solis	0.0945444
Woodson	0.0942437
Laudrup	0.0941787
LeClair	0.0940965
Wheatley	0.0940547
Andreychuk	0.0940487
Primeau	0.0937852
Perec	0.0936405
Cassell	0.0924072
Bibby	0.0915525
Wilkins	0.091467
Robson	0.0912021
Iverson	0.0911374
Robitaille	0.0903672
McCown	0.0895199
Gullit	0.0894932
Gilmour	0.0893949
McCarty	0.0884121
Strickland	0.0880328
Passarella	0.0878702
Faulk	0.0878136
Anelka	0.0876598
Geiger	0.0876057
"Vince Carter"	0.087488
Kerr	0.0864888
Kapono	0.0863623
Jauron	0.0861706
Ruehe	0.0859543
McCray	0.0858455
Niedermayer	0.0857499
Whalen	0.0848033
Nailon	0.0846983
Yount	0.0845577
Daigle	0.0842484
MacInnis	0.0841737
"Chris Mihm"	0.0837696
Hardaway	0.0835978
Palffy	0.083454
Langham	0.0827964
Gugliotta	0.0824404
Wadsworth	0.082261
CORYATT	0.0822351
Bure	0.0820122
"Detlef Schrempf"	0.0818871
Solich	0.0814164
Paus	0.0811047
Collymore	0.0810763
Zambrano	0.0806182
Khristich	0.0804116
Perisho	0.080065
Rahal	0.0800322
"Wang Zhizhi"	0.0799759
Popovich	0.0797486
Tanaka	0.0787849
"Van Horn"	0.0786455
Khorkina	0.0786224
McWilliams	0.0783696
Hickman	0.078311
McDuffie	0.0780992
Fortson	0.077839
Mutombo	0.0778208
Trent	0.077802
Seaver	0.0776335
Yashin	0.0774982
Drury	0.0771133
McInnis	0.0765612
Kukoc	0.0765025
Longley	0.0762771
"Kobe Bryant"	0.0762452
"Lamar Odom"	0.0760931
Glanville	0.0760682
Farris	0.0758591
Appier	0.0758546
Kidd	0.0756038
Meares	0.0754428
Pittman	0.0753845
Bullard	0.0752539
"Robert Horry"	0.0750233
Jacke	0.0749172
Detmer	0.0747366
Helton	0.0744711
STALEY	0.0743614
"Ian Wright"	0.0742219
Furcal	0.07413
Briere	0.0740888
Blake	0.074025
Culpepper	0.0737687
Favre	0.0736756
Alfredsson	0.0735625
"Donyell Marshall"	0.0735243
MARBURY	0.073455
Matvichuk	0.0733031
"Shareef Abdur-Rahim"	0.0732464
Spellman	0.0730023
MacCulloch	0.0728836
Tkachuk	0.0728566
Jacobsen	0.0728125
Jamison	0.0726952
Finley	0.0726302
Tverdovsky	0.0726005
Forsberg	0.0722988
Stockton	0.0722919
Fleury	0.0722712
Runyan	0.0722213
Dele	0.0719673
"Matt Santangelo"	0.0719279
"Del Piero"	0.071803
Elie	0.0717379
Atwater	0.0716553
Cota	0.0716413
"Yao Ming"	0.071639
Romer	0.0716034
Kerik	0.0714506
Swoopes	0.0714009
Monson	0.0712922
Zubov	0.0711471
Preki	0.0711377
Mcbride	0.0711197
"JaRon Rush"	0.0710444
Jayasinghe	0.0709898
Boilermakers	0.0708704
Lobo	0.0706763
FPL	0.0705041
Stephenson	0.0705025
hermosillo	0.0704411
Garrity	0.0703486
"Jennifer Gillom"	0.0701286
Conroy	0.0701024
Willard	0.069883
Bierhoff	0.0698714
Lassiter	0.0698246
Kariya	0.0698231
Antley	0.069803
Strahan	0.0697212
spina	0.0696897
"Nikki McCray"	0.0696709
Atler	0.0696679
Harper	0.0696345
Dunleavy	0.0694863
Harkes	0.0694598
"Tamika Catchings"	0.0693727
Cormier	0.0693027
ROMNEY	0.069277
Holik	0.0691181
LeBlanc	0.0690236
Kamensky	0.0689673
Vialli	0.0687911
Wynalda	0.0687012
Batistuta	0.0686737
Gannon	0.0686374
McNabb	0.0686363
Mercer	0.0682098
Tocchet	0.068007
))
("Abdurrahman Wahid" (desc 3456.53) (sims
"Mohammad Khatami"	0.262903
"Megawati Soekarnoputri"	0.177127
"Megawati Sukarnoputri"	0.176439
"Kim Dae Jung"	0.173482
"Fernando Henrique Cardoso"	0.168536
"Aslan Maskhadov"	0.165643
"Franjo Tudjman"	0.16517
"Hugo Chavez"	0.161381
Rais	0.159168
"Andres Pastrana"	0.15689
Wahid	0.149301
"Mikulas Dzurinda"	0.146873
"B.J Habibie"	0.146833
"Xanana Gusmao"	0.146412
"Martti Ahtisaari"	0.146355
"Olusegun Obasanjo"	0.146297
"Alija Izetbegovic"	0.145778
"Jacques Chirac"	0.14548
"Thabo Mbeki"	0.143036
"Wolfgang Schaeuble"	0.141457
"Juan Antonio Samaranch"	0.141077
"Amien Rais"	0.137995
"Jamil Mahuad"	0.137262
"Charles Taylor"	0.135709
"Jacques Santer"	0.132619
"Alexander Lukashenko"	0.131735
"Nikola Poplasen"	0.129053
"Joao Havelange"	0.128953
"Gennady Zyuganov"	0.127146
"Zoran Djindjic"	0.126415
"Kim Il Sung"	0.126201
"Sonia Gandhi"	0.124613
"Ernesto Zedillo"	0.124563
"Vladimir Putin"	0.124436
Izetbegovic	0.124165
"Hashim Thaci"	0.124156
Shui-bian	0.123012
"William Hague"	0.122835
"Ibrahim Rugova"	0.122732
"Gerry Adams"	0.121455
"Martin Lee"	0.120542
"Kim Jong Il"	0.120331
"Yossi Sarid"	0.120111
"Moammar Gadhafi"	0.119704
"Lech Walesa"	0.119397
"Alberto Fujimori"	0.118187
"Foday Sankoh"	0.117523
"Vaclav Havel"	0.116959
"Jonas Savimbi"	0.116304
"Ricardo Lagos"	0.115976
"Michel Camdessus"	0.115619
"Yoshiro Mori"	0.115315
"Hosni Mubarak"	0.115223
"Wim Duisenberg"	0.114122
"Carlos Menem"	0.11303
Dae-jung	0.112873
"Ivan Kostov"	0.112506
"Ayatollah Ali Khamenei"	0.112413
"Laurent Kabila"	0.110951
"Pasteur Bizimungu"	0.110515
"Aryeh Deri"	0.110412
"Mikhail Gorbachev"	0.109585
"Grigory Yavlinsky"	0.109407
"Fatos Nano"	0.109236
"Ketumile Masire"	0.107762
"Robert Mugabe"	0.107631
"Vojislav Kostunica"	0.107588
"Gulbuddin Hekmatyar"	0.106587
"John Sweeney"	0.106526
"Joseph Bruno"	0.106324
Nebiolo	0.1059
"Vaclav Klaus"	0.105856
"Pierre Buyoya"	0.104788
"Yegor Stroyev"	0.104611
"Ricardo Alarcon"	0.104015
"John Hume"	0.103246
"Jean-Marie Le Pen"	0.103095
"Ariel Sharon"	0.102969
"Sali Berisha"	0.102611
"Lokendra Bahadur Chand"	0.101953
Chissano	0.101818
Wamba	0.101751
"David Duke"	0.101346
"Ayatollah Ruhollah Khomeini"	0.101226
"Pandeli Majko"	0.100881
"Joseph Estrada"	0.100724
Megawati	0.10004
"Nelson Mandela"	0.0999679
"Chavalit Yongchaiyudh"	0.0997361
Khatami	0.0996599
Nazarbayev	0.0994178
"James P. Hoffa"	0.0994079
"Victor Chernomyrdin"	0.0992636
"Bashar Assad"	0.0992611
"Lamberto Dini"	0.0992247
"Marzuki Darusman"	0.0991796
"Boris Yeltsin"	0.0990734
"Yitzhak Mordechai"	0.0985798
"Bulent Ecevit"	0.0980938
"Jiang Zemin"	0.098051
"Nur Misuari"	0.0980498
"Keizo Obuchi"	0.0974021
Moi	0.0973446
Habibie	0.0969108
"Amnuay Virawan"	0.0964421
"Kim Yong Nam"	0.0960832
Rua	0.095547
"Chea Sim"	0.095512
"H.D Deve Gowda"	0.095391
"Abdollah Nouri"	0.0952644
"Vuk Draskovic"	0.0951327
"Dennis Hastert"	0.0946902
Zeroual	0.0945866
"Yasser Arafat"	0.0945532
"Massimo D'Alema"	0.0944729
Rafsanjani	0.0944018
"Martin McGuinness"	0.0938308
"Bashkim Fino"	0.0936163
"Hafez Assad"	0.0934998
"Hans Blix"	0.0931642
"Joaquim Chissano"	0.0931459
"Biljana Plavsic"	0.0929075
Ekeus	0.092901
Nujoma	0.0925001
"Necmettin Erbakan"	0.0924593
"Richard Gephardt"	0.0924497
"Tom Welch"	0.0915279
"Sepp Blatter"	0.0914975
"Helen Clark"	0.0913818
"Mesut Yilmaz"	0.0910928
Bouteflika	0.0907284
"Billy Payne"	0.0904041
"Ernie Grunfeld"	0.0899726
"Horst Koehler"	0.0895875
"Paul Kagame"	0.0892426
Obasanjo	0.0892098
"Wang Daohan"	0.0892055
"Benazir Bhutto"	0.0888455
"Jim Nicholson"	0.0878075
"Yoweri Museveni"	0.0876882
"Lyndon B. Johnson"	0.0871409
"Abdulsalami Abubakar"	0.0870997
"Atal Bihari Vajpayee"	0.0869631
"Jerzy Buzek"	0.0864299
"Radovan Karadzic"	0.0863039
"Atal Behari Vajpayee"	0.0859668
"Milos Zeman"	0.0855578
"Antonio Guterres"	0.0854263
"Tony Coelho"	0.0853326
Bashar	0.0849427
"Oskar Lafontaine"	0.0849404
Klerk	0.0847171
"Aung San Suu Kyi"	0.0845752
"Harry S. Truman"	0.0845728
Sharansky	0.0844114
"David Levy"	0.0840463
"Jenny Shipley"	0.0839569
"Li Peng"	0.0839527
"Krishna Prasad Bhattarai"	0.0839233
"Ian Paisley"	0.0835167
"Than Shwe"	0.0832376
"Vladimir Zhirinovsky"	0.0832326
"Alexander Shokhin"	0.0829687
"Joschka Fischer"	0.0828734
Clerides	0.082656
"Rolf Ekeus"	0.0824524
"Winnie Madikizela-Mandela"	0.0818675
"Tansu Ciller"	0.0817819
"Richie Phillips"	0.0811535
"David Trimble"	0.081131
Stoyanov	0.0808017
"Gro Harlem Brundtland"	0.0807493
"John Major"	0.0807137
"Romano Prodi"	0.0805225
"National Awakening Party"	0.0803966
"Ieng Sary"	0.0801932
Masire	0.0799979
"John Howard"	0.0799961
"Wolfgang Schuessel"	0.0797998
"Jose Maria Aznar"	0.0797678
Aristide	0.0793383
Buthelezi	0.0793315
"Vicente Fox"	0.0788554
"Vo Van Kiet"	0.0783456
"Deve Gowda"	0.0782151
"John Adams"	0.078002
Seleznyov	0.0779709
Verney	0.0778471
"Slobodan Milosevic"	0.0777201
"Cardinal John O'Connor"	0.0776788
"Cesar Gaviria"	0.0775984
"Seamus Mallon"	0.0774468
"Warren Christopher"	0.0773984
"Binyamin Netanyahu"	0.0773415
"Natan Sharansky"	0.0772771
"Vojislav Seselj"	0.0772223
"Ali Mahdi Mohamed"	0.0770808
"Li Ruihuan"	0.0770369
Suharto	0.077018
"Hu Jintao"	0.0768002
))
(Abe (desc 1320.37) (sims
Valenzuela	0.0756054
Jayasinghe	0.0751247
Gauthe	0.0693252
Tintin	0.0684996
Nikitin	0.0680204
Samuelson	0.0664508
Smitherman	0.0657752
Okada	0.0644614
Tanaka	0.0644399
Kopp	0.0644181
techs	0.0642442
Montiel	0.0638533
Hickman	0.0614242
Byrdsong	0.0599657
Peretz	0.0587355
Reimer	0.0573451
Sainz	0.0570271
Baumhammers	0.0570105
Cipollini	0.0568084
Tanui	0.0567924
Robby	0.0564432
DuBose	0.0553366
Pape	0.0551928
Esposito	0.0547733
Szabo	0.0542324
Levesque	0.0540309
Betsy	0.053921
Kiareldeen	0.0539161
Guidry	0.0537623
Fiorina	0.0535314
DIMON	0.0534698
"Little Dog"	0.0528494
Solis	0.0525669
Schottenheimer	0.0524978
Snead	0.0521524
Sato	0.051945
Aquino	0.0516346
Coulthard	0.0511046
Sweeting	0.0510736
Olano	0.0508329
Aoki	0.0506601
Bruijn	0.0506326
"Christine Arron"	0.0504567
Blackman	0.0501048
Neulander	0.0496159
Lichtenstein	0.0495508
Aamodt	0.0493206
Hyman	0.0492517
Skakel	0.0490278
Kimeses	0.0488867
Ackerman	0.048818
Goff	0.0487655
Jenoff	0.0486303
"David Flores"	0.048592
Hofer	0.0484256
"Fiona May"	0.0483957
Morceli	0.0481315
Ernie	0.0480416
Sorensen	0.0479489
Alves	0.0479152
Webber	0.0478327
Menard	0.0477683
Blackthorne	0.0475444
Carrera	0.0472384
Hornaday	0.0470387
Shayler	0.0468039
Padilla	0.0465575
Kazhegeldin	0.0465403
Tarver	0.0464141
Sanderson	0.0463978
Doherty	0.0463264
Matthau	0.0462192
ex-husband	0.0460482
Cynthia	0.0459665
Tomlinson	0.0457989
Haworth	0.0457433
Conte	0.0455794
Tilberis	0.0453863
Furcal	0.0453425
"Buzz Lightyear"	0.0452065
nance	0.0450808
Sprague	0.0450275
Ashbrook	0.0449568
Rossotti	0.0447768
Groening	0.0447677
Villeneuve	0.0445575
spina	0.044538
"Symantec Corp."	0.0444913
Heyns	0.0444776
Calvary	0.0441047
bandmates	0.0437535
Biffle	0.0435518
Ntuyahaga	0.0434074
White-McCarty	0.0432991
"eye doctor"	0.0432608
capella	0.0432601
Mikhailov	0.0431701
Jalabert	0.0430939
Kelsey	0.0430562
Klim	0.0429461
SB	0.0429236
Liao	0.0429204
Xue	0.0428028
McManus	0.0427575
"Griffith Joyner"	0.0426843
Berenson	0.0425662
Bess	0.0425422
Doan	0.0425035
Garza	0.0424538
Valdez	0.0423912
Doohan	0.0423278
Abraham	0.0422041
Pincay	0.0421218
Dorismond	0.0420828
Costin	0.0419173
Hartman	0.0418781
"World News Tonight"	0.0418487
Maharaj	0.0417364
Popov	0.0414735
McRae	0.0414406
Shandling	0.041419
Shirley	0.041411
Yoo	0.041344
"Laffit Pincay"	0.0413177
Loroupe	0.0412339
"Bill Shoemaker"	0.0411866
Lamont	0.0411425
Fredericks	0.040973
Enis	0.0408317
"Coptic Christians"	0.040642
Lucille	0.0404855
Jauron	0.0404792
Mukora	0.0403989
Janssen	0.0403926
))
(Abel (desc 3496.47) (sims
"Khin Nyunt"	0.106783
"Tin Oo"	0.0882268
Brigadier	0.0823738
"Gro Harlem Brundtland"	0.0777541
"Faisal Husseini"	0.0740879
Zhenyu	0.0739314
"Yitzhak Mordechai"	0.0719962
"Nabil Shaath"	0.0708123
Ciampi	0.0697873
"Tim Fischer"	0.0695586
"Renato Ruggiero"	0.0692726
"Bernard Kouchner"	0.0676709
"Francisco Labastida Ochoa"	0.0673552
"Xie Zhenhua"	0.0665902
"John Anderson"	0.0662245
Weil	0.0652683
"George Robertson"	0.0646129
Moser	0.0645033
Guei	0.0644131
Edelstein	0.0639547
"Li Zhaoxing"	0.0639482
Duchovny	0.0626304
Shaath	0.0619704
"Lee Kuan Yew"	0.0617317
Darnell	0.0617305
Soyinka	0.0617263
"Than Shwe"	0.0615965
"Haim Ramon"	0.0614017
Groening	0.061323
"Supachai Panitchpakdi"	0.0605128
Boueiz	0.0597424
Ashrawi	0.0594409
"Mikhail Kasyanov"	0.0592041
"Wu Yi"	0.0587199
"Yossi Sarid"	0.0586044
"Boris Nemtsov"	0.058372
"Natan Sharansky"	0.057479
Jorgensen	0.0568885
Plante	0.0568101
Kagalovsky	0.0567187
Ouattara	0.0565635
Chevenement	0.0565589
Baugh	0.0564335
"Igor Sergeyev"	0.0562571
"Maung Aye"	0.0560971
"Eisuke Sakakibara"	0.0559293
"Peter Mandelson"	0.0559152
Farnsworth	0.0558343
Halberstam	0.0556211
"Yuri Maslyukov"	0.0553973
Manley	0.0553969
"Yossi Beilin"	0.0552651
"Yasser Abed Rabbo"	0.0550373
"Fayez Tarawneh"	0.0544796
Naumann	0.0542988
"John Prescott"	0.0540548
"Hanan Ashrawi"	0.0538428
Hobson	0.0535747
"Ansumane Mane"	0.0534656
"Mike Moore"	0.0534344
Harmoko	0.0533746
Castaneda	0.053323
"Michael Portillo"	0.0532282
"Tang Jiaxuan"	0.053191
"Victor Malu"	0.0530881
Supachai	0.0529989
"Tansu Ciller"	0.0529607
Jayakumar	0.0528344
Obeid	0.0528102
Mahoney	0.0522016
"Lokendra Bahadur Chand"	0.0520013
"Ariel Sharon"	0.0518074
Kraus	0.0514873
Chappell	0.0512594
Myhrvold	0.0511613
"Jaswant Singh"	0.0510874
Auerbach	0.0509295
"Mo Mowlam"	0.0507711
"Shi Guangsheng"	0.0507679
Bildt	0.0507178
Walser	0.0506976
Sharon	0.0506195
Zuma	0.050491
Morita	0.0502583
Swenson	0.0499488
Erekat	0.0498006
"Bashkim Fino"	0.0496258
"Lee Hsien Loong"	0.0494736
Crowe	0.049464
Hearn	0.049461
Rowan	0.0494329
"Chi Haotian"	0.0493525
"Alexander Lebed"	0.0490082
Tella	0.0489949
"Michael Heseltine"	0.0487449
"Long Yongtu"	0.0487344
Fernandes	0.0486645
Rao	0.0486082
"Salim Saleh"	0.0484545
Daigle	0.0483777
"Tariq Aziz"	0.048271
Buthelezi	0.0482663
Mohammed	0.0482185
Carmichael	0.0481279
Fuente	0.0480768
"Economic Development"	0.0480578
Habib	0.0479112
"Speaker Ali Akbar Nateq-Nouri"	0.047667
Kazhegeldin	0.0476134
Abdul	0.0475917
Alatas	0.0475809
"Abdullah Ahmad Badawi"	0.0475754
Lyman	0.047449
Manuel	0.0473263
"Benazir Bhutto"	0.047321
Brockovich	0.0471092
"Saeb Erekat"	0.0469817
Halloran	0.0468779
"Wang Zhongyu"	0.0468426
Kurth	0.0468159
"Robert Guei"	0.0467657
Peca	0.0467602
Nasrallah	0.0467523
Lebed	0.0465956
"Pascoal Mocumbi"	0.0464586
Chuan	0.0464284
"Oladipo Diya"	0.0464153
Brosnan	0.0463252
Szabo	0.046276
"Jenny Shipley"	0.0459076
"Sergei Stepashin"	0.0457843
"Wang Yingfan"	0.0457602
Mortimer	0.0457435
Bushnell	0.0456165
Bhattarai	0.0455976
Alexie	0.0453727
Tierney	0.0453376
Tuberville	0.0453071
Barron	0.0449817
Pearce	0.0449663
Brundtland	0.0448586
"Igor Ivanov"	0.044827
Felton	0.0448118
Shara	0.0446891
"Pandeli Majko"	0.0446309
Felten	0.0444716
Spielman	0.0444702
"Necmettin Erbakan"	0.0443381
McCombs	0.0442826
Laudrup	0.0442387
Bloch	0.0442236
Machel	0.04422
Olson	0.0440487
Shipley	0.0440295
Ozawa	0.0438725
"Lamberto Dini"	0.0438193
Haq	0.0437597
Khorkina	0.0437287
Shriver	0.0435749
Walton	0.0435375
Mokhehle	0.0435091
Nasrin	0.0432902
Isner	0.0432267
Orr	0.0432115
Laperriere	0.0431051
Jacke	0.0430489
"Kim Yong Nam"	0.0430336
Ritter	0.0430124
Goff	0.0429652
Carr	0.042888
Margolis	0.0428647
Sergeyev	0.0427891
"Laurent Fabius"	0.0427831
Vogel	0.042778
Ota	0.0427564
Nolan	0.042713
Aventajado	0.0426896
Jaffe	0.0426334
Leigh	0.042587
Walter	0.0425768
Engel	0.0425571
Kurtz	0.0424768
Ahmed	0.0424498
Brittan	0.0424385
Clooney	0.0422114
Maldini	0.0422096
Gurirab	0.042092
"Eric Cantona"	0.042077
Klinsmann	0.0420749
Snipes	0.0420293
McGuinness	0.0420225
"Bizima Karaha"	0.0419813
Arens	0.041912
Modell	0.0418938
Dickey	0.0418864
Guerin	0.0418569
Soares	0.041849
Andreessen	0.0417229
Britton	0.0416999
Janice	0.0416498
))
(Abercrombie (desc 2297.14) (sims
"Brooks Brothers"	0.088147
Cronin	0.0817572
Baird	0.077816
Fitch	0.0733558
Udall	0.0724836
Cramer	0.072082
Hanes	0.0706676
Penney	0.0705571
Gymboree	0.0659281
"John Conyers Jr."	0.0644555
Ackerman	0.063363
Berkley	0.0630814
"Norm Dicks"	0.0615241
Providian	0.0613036
Northpoint	0.0611086
Edelstein	0.0608061
NHTSA	0.0596665
Rowley	0.0579536
"Henry Waxman"	0.057916
"Tommy Hilfiger"	0.0577114
Priceline	0.0569433
AMF	0.05687
snakeskin	0.0567776
Boucher	0.0567114
Whalen	0.0565861
DKNY	0.0561747
AutoNation	0.0560675
Henley	0.0558778
CNET	0.0545819
Koop	0.0537836
HILFIGER	0.0534593
Boyd	0.0524566
iXL	0.0523966
"royal blue"	0.0521064
"Robert C. Byrd"	0.0519625
Clement	0.051304
Georgia-Pacific	0.0509657
"navy blue"	0.050579
"Singapore Telecom"	0.050518
Ono	0.0505057
Luther	0.0500306
Fingerhut	0.049594
Inktomi	0.0490584
"Big Blue"	0.0488203
Townsend	0.0487429
Danka	0.0482193
Groening	0.0481777
Neiman	0.0474329
Zuckerman	0.0474183
"Banana Republic"	0.0473688
BOC	0.0472949
Paxson	0.0469039
"Food Lion"	0.0467461
"Ask Jeeves"	0.0462355
Darnell	0.0461928
"John Dingell"	0.0460771
DeVille	0.0459625
GoTo.com	0.0459335
SSE	0.0459161
Fubu	0.0456995
Cleese	0.0456643
Guterres	0.0456484
Glendening	0.0453013
Hadley	0.0448417
Pryor	0.0447412
"Max Baucus"	0.0446823
adobe	0.0445263
Jorgensen	0.0442312
Farris	0.0441124
"Sharper Image"	0.0440708
Aurilia	0.0440378
"Arkansas State"	0.0437875
RCN	0.0434826
"Abbe Lowell"	0.0434318
Whitsitt	0.0430451
"Weather Channel"	0.0427052
XYLAN	0.0426098
NetZero	0.0425653
Armani	0.0424916
"Patrick Leahy"	0.0424341
Levi's	0.0423889
"Home Depot"	0.0423842
roper	0.0422733
Scientific-Atlanta	0.0421829
Wildhorn	0.0421239
"John Breaux"	0.0419181
Triplett	0.0418954
Vogel	0.0418738
Tenneco	0.041871
Handspring	0.0418388
Odwalla	0.0418384
Autry	0.0418271
LeBlanc	0.0417514
Christensen	0.0417222
Adelphia	0.0416594
Horne	0.0414813
Baugh	0.0414383
Starwood	0.0414087
Loral	0.0413346
Grunwald	0.0413179
"Lord &AMP; Taylor"	0.0411249
GeoCities	0.0410936
Incyte	0.0410933
"Rite Aid"	0.0408712
ExciteAtHome	0.0408242
LANIER	0.0406918
Winkler	0.0406548
Petrofina	0.0405963
Webvan	0.0405248
Ivey	0.0404992
Nadler	0.0403156
Seaver	0.0403085
"Joseph Biden"	0.0402601
))
("Abercrombie &AMP; Fitch" (desc 1429.66) (sims
"Banana Republic"	0.223378
"Old Navy"	0.190955
"J. Crew"	0.164453
"Eddie Bauer"	0.158412
Gymboree	0.145107
"Pottery Barn"	0.14378
"Liz Claiborne"	0.143061
Levi's	0.133671
"L.L Bean"	0.117365
"Tommy Hilfiger"	0.112752
Starbucks	0.111908
Fubu	0.107539
"Levi Strauss"	0.0971773
Sears	0.0969602
"J.C. Penney"	0.0961415
Nordstrom	0.0960794
Ikea	0.0940925
Safeway	0.0898474
Walgreens	0.0882197
"Brooks Brothers"	0.0877158
"Dayton Hudson"	0.0864051
"Calvin Klein"	0.0853874
Walmart	0.0853259
"Sharper Image"	0.083849
Publix	0.0787729
"Donna Karan"	0.076743
Saks	0.0752133
"J. Peterman"	0.0751858
Kmart	0.0717607
"Ralph Lauren"	0.0709753
Hanes	0.0705988
"navy blue"	0.0699081
DKNY	0.0697225
CVS	0.0691036
Albertson's	0.0675882
Gimme	0.0669904
Titleist	0.0648459
RIAA	0.0645114
Roebuck	0.0641878
Polo	0.0633992
Penney	0.0632126
ENTREMED	0.062024
timberland	0.0619946
McDonalds	0.0618946
Barneys	0.0616496
"John Deere"	0.0609492
Woolworth	0.0597993
"Neiman Marcus"	0.0594736
Asda	0.0592274
Costco	0.0591561
Stroh	0.0590803
VFW	0.0587534
"Mitsubishi Motors"	0.05864
"American eagle"	0.0584712
Williams-Sonoma	0.0575509
Caldor	0.0574928
"Helmut Lang"	0.0568508
Bloomingdale's	0.0566861
Dickie	0.0548347
"Times Co."	0.0543003
Pillsbury	0.0542918
NiSource	0.0533777
Swimwear	0.0528807
"Circuit City"	0.0526958
"Sprint PCS"	0.052474
discounter	0.0521101
Kroger	0.0519669
Chino	0.0518706
"Legal Aid Society"	0.0510198
"Discovery Channel"	0.0509203
REI	0.0505091
"Toys R Us"	0.0504874
CNET	0.0503789
"Sara Lee"	0.0499946
"Bausch &AMP; Lomb"	0.0494955
docker	0.0491309
"Sears, Roebuck &AMP; Co."	0.0486475
"New York Yankee"	0.0483877
"J&AMP;J"	0.0482832
"sports jacket"	0.04818
Roberds	0.0481678
"Saks Fifth Avenue"	0.0481666
EA	0.0481489
Cadbury	0.0480101
CompUSA	0.0479984
"Barnes &AMP; Noble"	0.0477111
Piedmont	0.0474832
"John Bartlett"	0.0470044
Spiegel	0.0467439
USEC	0.0467338
Tandy	0.0464264
lingerie	0.0460659
"Krispy Kreme"	0.0460148
HILFIGER	0.0456966
"Radio Shack"	0.0455167
"Mattel Inc."	0.0454412
Kellogg	0.0452434
"Pepsi Cola"	0.0451103
Burberry	0.0448207
"Rite Aid"	0.0447383
MHP	0.0447089
Lexus	0.0446699
"Compaq Computer"	0.0443924
Domino's	0.044305
gingham	0.0442025
VENATOR	0.044087
"Office Depot"	0.0438969
"Whole Foods"	0.0438758
ExciteAtHome	0.0437458
brassiere	0.0436552
Pendleton	0.0431124
Starwood	0.0429889
Armani	0.0429235
Fendi	0.0427454
Benetton	0.0424277
cutlery	0.0422973
Staples	0.0421361
Bulog	0.042035
TYCO	0.0419472
"Con Ed"	0.0418839
Reebok	0.0416251
worn	0.0414785
Copley	0.0414434
"Yves Saint Laurent"	0.0413861
"Network Associates"	0.0411709
"Procter &AMP; Gamble Co."	0.0408849
Amway	0.0407434
"Advanced Micro"	0.0407341
"Digital Equipment"	0.0406939
"Cadbury Schweppes"	0.0406838
Scientific-Atlanta	0.040405
"large white"	0.0403576
hosiery	0.0402671
Gilligan	0.0401201
))
(Aberdeen (desc 5028.97) (sims
LAKEWOOD	0.133509
"Silver Spring"	0.1183
Chatham	0.117053
Westfield	0.116016
"Ocean City"	0.115462
"East Orange"	0.112127
"College Park"	0.111575
Dundee	0.107058
Glasgow	0.106743
Morristown	0.106652
TARBORO	0.105381
Montclair	0.105316
Bridgewater	0.101655
Greenville	0.099875
Riverdale	0.0961097
Salisbury	0.0959755
Portsmouth	0.0955202
Valencia	0.0941316
Toluca	0.0935053
Potomac	0.091954
Cardiff	0.0908675
"Sioux Falls"	0.0899564
Guadalajara	0.089789
Rostock	0.0895034
ASHEVILLE	0.0894434
Hoboken	0.089008
Rockville	0.0879894
Cumberland	0.0874764
Englewood	0.0870828
"West Orange"	0.0870049
Middletown	0.0864551
"Saratoga Springs"	0.0862299
Paterson	0.0861619
Mina	0.085406
Yonkers	0.0849662
Lubbock	0.0841046
Spokane	0.0830156
Yekaterinburg	0.0829904
Bangor	0.0828946
"Fort Lee"	0.0828457
Stockbridge	0.0827909
Bremen	0.0808682
Bethesda	0.0806597
Annapolis	0.0806344
"Rocky Mount"	0.080529
Williamstown	0.0803284
Kingston	0.080313
"New Rochelle"	0.0801226
Munich	0.080038
"East New York"	0.0799842
Frederick	0.079159
Zaragoza	0.0790026
Wilmington	0.078651
Stuttgart	0.0783997
Longview	0.0781887
Ridgewood	0.0781401
Somerville	0.0780712
Bloomfield	0.0780156
Wheaton	0.0779527
Hattiesburg	0.0776797
Glendale	0.0774811
Vitoria	0.0769371
Bari	0.0765877
Watertown	0.0765169
Chappaqua	0.0763987
Gloucester	0.0760276
"Washington Heights"	0.0760021
Lafayette	0.0757552
Milford	0.0749802
Brentwood	0.0745987
Chester	0.0745907
Metz	0.0744343
Manchester	0.0740262
"Port Angeles"	0.0738392
"Baton Rouge"	0.0737818
"San Pedro Sula"	0.073726
Blackpool	0.0736697
"Mount Vernon"	0.0735456
Woodbridge	0.0733075
Monterrey	0.0732547
"Port St. Lucie"	0.0732175
"Newport Beach"	0.0729867
Winnipeg	0.0728111
Elmira	0.0727656
Encino	0.0726108
Medford	0.0725896
Guayaquil	0.0724916
"San Cristobal"	0.0720945
"Corpus Christi"	0.0720824
Kensington	0.0719684
Camden	0.0719373
Buckhead	0.0719226
Macoris	0.0718189
Eindhoven	0.0717672
Bilbao	0.0716991
Bensonhurst	0.0716915
Princeville	0.0714591
Gulu	0.0714538
"Montgomery County"	0.0713148
ZAGREB	0.0712778
Lawrenceville	0.0712759
Clifton	0.0707372
Fairfield	0.0706122
Charlestown	0.0705649
Matamoros	0.0705364
Oxford	0.0704695
Odessa	0.069931
BRIGHTON	0.0698386
"Jersey City"	0.0696045
"Port Elizabeth"	0.0694261
Walkerton	0.0691065
Malaga	0.0689994
Florence	0.0689813
Birmingham	0.0687652
Haifa	0.0687331
"Palm Beach Gardens"	0.0682688
Carrollton	0.0681595
Bellingham	0.0680812
Osaka	0.0680492
Izmit	0.0679756
"Ciudad Juarez"	0.0678109
Independiente	0.0677832
Plano	0.0676965
Heerenveen	0.0676477
Ipswich	0.0675412
"Union City"	0.0673347
Aachen	0.0672707
Brownsville	0.067129
Braintree	0.0669511
Madison	0.0668915
Oxnard	0.0667356
Gainesville	0.0666766
Yerevan	0.0666001
Columbus	0.0665993
Verona	0.0664772
Maastricht	0.0664355
"Manhattan Beach"	0.0663494
Bayonne	0.0662931
Hackensack	0.0662017
Utica	0.0661921
Kirkland	0.0661849
"San Sebastian"	0.0661473
"Glasgow Rangers"	0.0661254
"Little Rock"	0.0660994
Brockton	0.0660775
Anderlecht	0.0660672
Naples	0.0660426
"Great Neck"	0.066003
Chatsworth	0.0659611
flint	0.0659422
Duluth	0.0659216
"TOMS RIVER"	0.0658007
Americus	0.0657684
Wildwood	0.0657609
Liverpool	0.0657327
"Miami Beach"	0.0657182
Dubuque	0.0655819
"Del Rio"	0.0655365
Bridgeport	0.0655281
"Netherlands Antilles"	0.0653355
Huntsville	0.0652885
"East St. Louis"	0.0652241
Sausalito	0.0650979
Tampa	0.0650719
Sparta	0.0650168
Hanover	0.0649943
Southampton	0.0648564
Hamburg	0.064853
"Brooklyn Heights"	0.0647426
Edinburgh	0.0645752
Trondheim	0.0645638
"Van Nuys"	0.0645571
Flagstaff	0.0644941
Hillsboro	0.06433
"Crystal City"	0.0643246
Cologne	0.0643232
Nantes	0.0642858
Redding	0.0641893
Tijuana	0.0641714
"West Palm Beach"	0.064154
Tacoma	0.0641331
Genoa	0.0640635
Leeds	0.0640612
Fayetteville	0.0639386
Compton	0.0639128
Poughkeepsie	0.0637991
"Colorado Springs"	0.0635944
Macon	0.0635758
Newcastle	0.0635444
Port-au-Prince	0.0635232
Monroe	0.0632772
Jasper	0.0631677
Minsk	0.06311
"Santo Domingo"	0.0630132
Newark	0.0629157
Krakow	0.0628942
Bologna	0.0628383
Georgetown	0.0628323
"Highland Park"	0.0627769
Augusta	0.0626959
))
(Abernathy (desc 1297.65) (sims
Berenson	0.1762
"Russell Peeler"	0.174119
Mease	0.154463
Nikitin	0.150052
Karbaschi	0.144529
Agca	0.140844
Markhasev	0.136848
Faulder	0.134404
Priebke	0.133638
Whitacre	0.132727
Fagan	0.132228
Boesak	0.131142
Hirschfeld	0.130793
Tarver	0.130621
Haughey	0.130303
McKinney	0.130296
Swango	0.130139
Sheinbein	0.129785
McGinn	0.129106
Laudor	0.127736
Gotti	0.126624
Capano	0.125702
Papon	0.124917
Robison	0.124734
Schweitzer	0.122722
Lacresha	0.122713
Gauthe	0.121434
peeler	0.120502
Sato	0.120349
Lileikis	0.120115
Skakel	0.119947
Martorano	0.119404
LeFave	0.117722
Stayner	0.117543
Bakaly	0.117378
Mattysse	0.117198
Yoo	0.116364
Fortier	0.115632
Siripongs	0.114658
Kaczynski	0.114423
Espinoza	0.114014
Beckwith	0.113947
Hiddink	0.113741
Imelda	0.113327
Livoti	0.113308
Kiareldeen	0.112394
"Louise Woodward"	0.111969
Neulander	0.111705
Manley	0.111047
Einhorn	0.110976
Copeland	0.110967
Manbar	0.110823
Abu-Jamal	0.110761
Hamid	0.11038
Sebaggala	0.110335
Kehoe	0.109962
Hofer	0.109434
Pirro	0.108988
Craxi	0.108658
Mendez	0.108427
Woodward	0.107764
Cusack	0.107588
Dokmanovic	0.107566
Echegaray	0.107512
Bhutto	0.107382
Karr	0.107242
Mikhailov	0.107199
McVeigh	0.107177
Merlino	0.106944
Haouari	0.106565
Khalil	0.106363
Soliah	0.106217
Sheppard	0.106082
Sherrill	0.105957
hale	0.105157
Deri	0.104542
"Maturino Resendiz"	0.104418
Bidwill	0.103924
Naumann	0.10389
Beathard	0.103601
Zamora	0.103452
Haney	0.103343
Schmitz	0.103254
Gutman	0.102999
Symington	0.102783
Barrionuevo	0.102747
Coia	0.102104
Shulman	0.101404
Gantamirov	0.101227
Noriega	0.10122
Hensley	0.100985
Bowers	0.100928
Lundy	0.100313
Jelisic	0.0995486
Donahue	0.0995106
Olson	0.0993243
Mudge	0.0989017
Hanna	0.0988528
Akayesu	0.0983107
McCray	0.0981123
Blackthorne	0.0980414
Jenoff	0.0978671
Rubenstein	0.0978355
Goldstein	0.0977762
Cayugas	0.0975165
Cheung	0.0973682
Brennan	0.0970092
Salinas	0.0968048
Espy	0.0967247
Ramsey	0.0966762
Sharma	0.0961225
Giacchetto	0.0960807
Paciello	0.0960055
Grasso	0.0959604
Limon	0.0953309
Winkler	0.0944424
leeson	0.094438
Shayler	0.0940648
Ng	0.0938207
Soong	0.0934315
Jewell	0.0931501
"Del Toro"	0.0931273
Troussier	0.0930613
Sakic	0.092766
Lindland	0.0927226
Wan	0.092722
Trie	0.0922036
Piggie	0.0921513
Bubb	0.0920851
Yadav	0.0919379
Kinkel	0.0914702
Ritter	0.091354
Bronfman	0.0911933
Alarcon	0.0910772
Kodikian	0.0909167
Kimes	0.0908215
Harris-Lewis	0.0908001
O'Malley	0.090777
McIntosh	0.0904858
Shipman	0.0903692
"Marianne Gingrich"	0.0899051
Faget	0.0896889
Garza	0.0893438
Auriemma	0.0891518
Imperatori	0.0891381
Dunleavy	0.0890388
Romanowski	0.089002
Maharaj	0.0889403
Mehmet	0.0885491
"Perez Balladares"	0.0883111
Musa	0.0879379
Mitnick	0.0879002
Tran	0.0878063
Moceanu	0.0877331
Bruder	0.0876173
Hanley	0.0874738
Villanueva	0.0873668
Berlusconi	0.087292
Cooke	0.087167
Sharpton	0.0871454
Diouf	0.0871385
Marinovich	0.0870994
Shinn	0.0870505
Erving	0.0869115
MCGEE	0.0868545
Ouattara	0.0868109
Gritz	0.0867788
Garcetti	0.0867697
Bonner	0.0867644
Menchu	0.0866182
Kalejs	0.086412
Egan	0.0863566
Masire	0.0862642
Virenque	0.0862407
Castillo	0.0861812
Suarez	0.0859811
Hsia	0.0857683
Hiett	0.0855151
Downey	0.0854527
Brock	0.0854154
Vasquez	0.0853072
Arnett	0.0852537
McDougal	0.0852205
"David Hale"	0.0851108
Ramirez	0.0849407
Marineau	0.0847574
"Albert Pirro"	0.0846285
Kimeses	0.0844511
"Jack Kevorkian"	0.0843076
DeBartolo	0.0839599
Murr	0.0839379
Falater	0.0838576
Nichols	0.0835907
Kazhegeldin	0.0835172
Finkel	0.0834589
Nathaniel	0.0833211
Gosper	0.0831109
Halloran	0.0830787
"Michael Skakel"	0.0830598
Reimer	0.0828129
))
(aberration (desc 8418.42) (sims
fluke	0.161505
anomaly	0.145642
blip	0.0977113
"turning point"	0.0871425
oddity	0.0852147
coincidence	0.0843208
blunder	0.0824639
indicative	0.0739172
overreaction	0.0727904
affront	0.0726577
"waste of time"	0.0721814
phenomenon	0.0709812
harbinger	0.0700174
"sour grapes"	0.0697285
misunderstanding	0.0686341
travesty	0.0685563
ploy	0.0685507
indication	0.0682607
copout	0.0679318
distortion	0.0673116
afterthought	0.0673062
reminder	0.0647063
nonsense	0.0646668
hiccup	0.064183
setback	0.0635154
no-brainer	0.0629734
sideshow	0.0620007
hoax	0.0604433
distraction	0.0604139
embarrassment	0.0603295
disgrace	0.0600889
quirk	0.0598027
anachronism	0.0596019
stinker	0.0591253
culmination	0.0587652
fad	0.0581828
has-been	0.0579354
paradox	0.0576072
sham	0.0568141
abnormality	0.0567501
washout	0.0564951
reversal	0.0558519
catalyst	0.0558272
ADO	0.0557258
blessing	0.0554339
occurrence	0.0553184
novelty	0.0549584
cipher	0.0548469
"eye opener"	0.0546653
malformation	0.0546309
vindication	0.0544371
gimmick	0.0543168
"takeover target"	0.0542215
"wishful thinking"	0.054032
Gambit	0.0536183
pastime	0.0536148
dud	0.053509
Nuisance	0.0533084
formality	0.053285
misconception	0.0532636
idiot	0.0532485
milestone	0.0529266
letdown	0.052765
precedent	0.0526652
throwback	0.052583
omen	0.0525641
inequity	0.0520049
betrayal	0.0518883
buffoon	0.0515183
laggard	0.0515127
latest	0.0512144
outcast	0.0511421
lapse	0.0509138
anticlimax	0.0509055
footnote	0.0508659
obstacle	0.0507523
disappointment	0.0506322
reflection	0.0506009
"time bomb"	0.0504903
manifestation	0.0504179
sellout	0.0502231
"turn of events"	0.0500855
whammy	0.0500623
oxymoron	0.0500009
proof	0.0499942
oversimplification	0.0498511
curiosity	0.0498138
"raw talent"	0.0497801
exaggeration	0.0497521
cog	0.0497224
deafness	0.049551
interloper	0.0494829
injustice	0.0494769
opportunist	0.0494634
impediment	0.049197
abomination	0.0489287
Correction	0.0488678
enigma	0.0488579
taboo	0.0488347
handicap	0.0483423
turnabout	0.0483258
affirmation	0.0482968
heretic	0.0482807
flaw	0.0482407
contradiction	0.0482013
"waste of money"	0.048121
"long shot"	0.0477772
lull	0.0476859
wrinkle	0.0475698
corrective	0.0472845
"bad luck"	0.0472779
certainty	0.0472307
freak	0.0472049
provocation	0.0471803
sidelight	0.0470463
predictor	0.0469978
gamble	0.0469661
interlude	0.0468748
broad-based	0.0468469
phenomena	0.0467245
"test case"	0.0466866
biggest	0.0466035
boon	0.0465983
"way of life"	0.046559
diversion	0.0464899
watershed	0.0463298
"high-water mark"	0.0462518
continuation	0.0460645
"art form"	0.0460022
prank	0.0459368
microcosm	0.0458555
"identity crisis"	0.0458107
folly	0.045692
"dress rehearsal"	0.045446
trait	0.045444
autocracy	0.0454101
troublemaker	0.0451967
continuum	0.0449697
pariah	0.044878
"success story"	0.0445109
nonevent	0.044463
gaffe	0.0443656
"soul mate"	0.0442906
cornerstone	0.0441409
"case in point"	0.0441167
omission	0.0440697
misperception	0.0440407
nightmare	0.0440011
tradeoff	0.0439652
inconsistency	0.0439488
annoyance	0.0436896
bellwether	0.043651
shortcoming	0.0435664
figurehead	0.0431926
rubbish	0.0430147
bigot	0.0429027
obsession	0.0427755
handiwork	0.0427453
"liquidity problem"	0.0427247
variation	0.0425491
"speed bump"	0.0425048
catastrophe	0.0423442
norm	0.042319
hindrance	0.0423151
hybrid	0.0421471
mismatch	0.042133
rarity	0.0420753
miracle	0.0420729
individualist	0.0419666
misjudgment	0.0418801
peculiarity	0.0417151
transcendence	0.0416412
continuity	0.0415689
"stepping stone"	0.0415684
testament	0.0415323
ferment	0.0414208
Luddite	0.0413928
slowest	0.041373
visionary	0.0413682
"Trojan Horse"	0.0413642
epitome	0.041335
about-face	0.0412885
shocker	0.0411585
indignity	0.0411557
symptom	0.0411289
posturing	0.0410517
farce	0.0409995
deviation	0.0409369
byproduct	0.0408732
Dinosaur	0.0408692
inconvenience	0.0408626
"memory loss"	0.0408582
"lame duck"	0.0408524
charade	0.0407117
jerk	0.0406654
adversity	0.0405315
myth	0.0404893
precursor	0.0404511
wipeout	0.0403922
discrepancy	0.0403616
))
(abhorrence (desc 925.648) (sims
proscription	0.0682964
"visual image"	0.0672118
committment	0.0656376
perpetuation	0.0626694
scepticism	0.0612539
wide-range	0.0597303
enormity	0.0593736
feelings	0.056304
criminalization	0.055734
toppling	0.0538291
shallowness	0.0534427
exigency	0.0530748
"vicious cycle"	0.0519891
ugliness	0.0518277
regrets	0.0512599
inkling	0.0481619
pervasiveness	0.0468912
Crucible	0.0463993
ravages	0.0460638
singularity	0.0459697
perplexity	0.0451331
"strong belief"	0.0448435
spectre	0.0446633
"Christine Arron"	0.0432131
"vicious circle"	0.0431937
blackness	0.0430184
"frame of reference"	0.042814
determinations	0.0427614
"mind's eye"	0.0423114
qualm	0.0420045
"political platform"	0.0415058
powerlessness	0.0411488
watchword	0.0409919
artificiality	0.0407122
puzzlement	0.0406014
gist	0.0402426
initiator	0.0401543
solicitude	0.0401323
appeasement	0.0401129
))
("Abidine Ben Ali" (desc 1052.06) (sims
Baz	0.24778
Bashir	0.240415
Ganzouri	0.230204
Meguid	0.208831
Nahyan	0.208689
Abdel-Meguid	0.198131
"Secretary General Esmat Abdul-Meguid"	0.197802
Moratinos	0.192276
al-Nahyan	0.190066
"de Charette"	0.18993
Stoyanov	0.18002
Kabariti	0.173374
Rifkind	0.173119
Komura	0.170967
"Vo Van Kiet"	0.166442
Velayati	0.162677
Shara	0.160617
Mahdi	0.159881
al-Khatib	0.158057
Majali	0.156794
Juncker	0.156756
"Prince Abdullah Ibn Abdul-Aziz"	0.156071
Ikeda	0.155939
al-Bashir	0.15547
Pangalos	0.154127
Al-Sabah	0.15368
Kharrazi	0.151905
"Saudi King Fahd Ibn Abdul-Aziz"	0.15095
Mkapa	0.150185
Sharaa	0.149392
Shareh	0.149175
Vollebaek	0.148376
Zemin	0.145614
Granic	0.144662
"Secretary General Esmat Abdel-Meguid"	0.144607
Scalfaro	0.142475
"Atef Obeid"	0.140977
Luong	0.139789
Lipponen	0.138087
Brahimi	0.136714
Guterres	0.135873
Cem	0.134385
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.134261
Niyazov	0.134193
Sahnoun	0.134069
Saleh	0.134055
"Jordanian King Abdullah Bin Hussein"	0.133577
Constantinescu	0.133412
Nzo	0.133104
al-Hariri	0.131971
"Wlodzimierz Cimoszewicz"	0.131921
"Klaus Kinkel"	0.130866
el-Ganzouri	0.130538
"Secretary General Boutros Boutros-Ghali"	0.130147
Azad	0.129578
Kasoulides	0.129473
Hamad	0.129435
"Defense William Cohen"	0.128892
Axworthy	0.12871
Ikimi	0.128167
"Antonio Guterres"	0.128057
Phieu	0.127079
Moussa	0.126106
Demirel	0.125693
Diouf	0.125465
"Inder Kumar Gujral"	0.125377
Surin	0.12497
Narayanan	0.124361
"John Bruton"	0.12429
"Jerzy Buzek"	0.124029
"Tareq Aziz"	0.123684
"I.K Gujral"	0.122076
"King Abdullah II"	0.121408
"Valery Pustovoitenko"	0.121142
Hrawi	0.120888
"President Hafez Al-Assad"	0.120318
al-Sahaf	0.119939
al-Saud	0.119758
Ruehe	0.119426
Sheikh	0.118938
Gaddafi	0.118719
"Princess Anne"	0.118701
Klima	0.118608
Kwasniewski	0.118403
"Abdullah Ahmad Badawi"	0.118364
"Than Shwe"	0.117738
"De Soto"	0.117104
"Jose Maria Aznar"	0.11687
Alatas	0.116632
Khai	0.116626
Kostov	0.116502
Dini	0.115682
Khaddam	0.115647
"Vaclav Klaus"	0.114688
"Ketumile Masire"	0.114488
"Costas Simitis"	0.114144
"Abdul Karim Kabariti"	0.113976
Muoi	0.113947
Museveni	0.113808
"Romano Prodi"	0.113804
"Hosni Mubarak"	0.113695
Hariri	0.113111
Vedrine	0.112931
"Ivan Kostov"	0.112726
Thani	0.112229
Khalifa	0.111957
Simitis	0.111839
"Sheikh Saad"	0.111703
Kuchma	0.111631
Akayev	0.11116
Deuba	0.111025
al-Sahhaf	0.110946
Santer	0.110283
Nujoma	0.11028
Nazarbayev	0.110109
Kumaratunga	0.110021
Gujral	0.110014
"Prime Minister Kamal El-Ganzouri"	0.109896
"Jacques Chirac"	0.10988
Banharn	0.10982
Karimov	0.109805
Jayakumar	0.109798
Chissano	0.10977
al-Sharaa	0.109768
Frei	0.109722
"Queen Beatrix"	0.109672
"Jordanian King Hussein"	0.10934
Chavalit	0.108476
Kono	0.108402
Zeroual	0.108135
Jovanovic	0.107827
Mercado	0.107672
al-Assad	0.1076
Muluzi	0.107588
Ben-Ami	0.107459
Wolfensohn	0.107213
Papandreou	0.107094
"Tang Jiaxuan"	0.106978
"Ernesto Zedillo"	0.106946
"Koo Chen-fu"	0.10666
"Goran Persson"	0.106236
"Prince Saud Al-Faisal"	0.106017
al-Shara	0.105998
Meles	0.105573
"Lee Hsien Loong"	0.105461
Pustovoitenko	0.105444
el-Bashir	0.104854
"Wim Kok"	0.104807
Clerides	0.104788
Rodionov	0.104135
Pickering	0.10399
Holl	0.103484
Zou	0.103458
Shevardnadze	0.103433
Scharping	0.103243
Fahd	0.103193
"Maung Aye"	0.102613
"Atal Bihari Vajpayee"	0.101913
Boueiz	0.101639
Bouteflika	0.101507
Kinkel	0.101449
"Frederick Sumaye"	0.10133
"Goh Chok Tong"	0.101204
"Ismail Cem"	0.101173
Mubarak	0.100656
"Mahmoud Zouebi"	0.100634
"Joint Liaison Group"	0.100461
"Saudi King Fahd"	0.0998669
Menem	0.0988385
Talbott	0.0987072
"Sam Nujoma"	0.0971885
"William Perry"	0.0968216
"Qian Qichen"	0.0963999
"Tariq Aziz"	0.0962931
"Chi Haotian"	0.0961959
Al-Thani	0.0959332
"Prime Minister Banharn Silpa-Archa"	0.0956221
"Secretary-General Boutros Boutros-Ghali"	0.0955741
"Ung Huot"	0.0947834
"Chief Executive Tung Chee-hwa"	0.0944249
Camdessus	0.0941871
Aznar	0.0937878
"George Robertson"	0.0936669
Juppe	0.0935427
Koo	0.0935362
Garang	0.0934401
"Chuan Leekpai"	0.0932452
Arens	0.093127
Amor	0.093124
Barzani	0.0928201
"Deve Gowda"	0.092806
Vasile	0.0925963
"Carlos Menem"	0.0923565
Hage	0.0922749
"Paavo Lipponen"	0.0922153
Tarawneh	0.0921067
Xiong	0.0920959
Ahtisaari	0.0919364
"Zhang Wannian"	0.0919133
"Benazir Bhutto"	0.0916946
))
(Abidjan (desc 11679.5) (sims
Accra	0.20065
Lome	0.167918
Dushanbe	0.163615
Tashkent	0.163549
Monrovia	0.162123
Conakry	0.161595
Kigali	0.161047
Skopje	0.158095
Tripoli	0.157273
Asmara	0.15677
Kinshasa	0.155882
"Santo Domingo"	0.155248
MANAMA	0.154014
Tbilisi	0.15179
Windhoek	0.150455
Chisinau	0.148962
"Guatemala City"	0.147603
Mbabane	0.144674
Algiers	0.144571
Bissau	0.144178
Freetown	0.143814
Gaborone	0.143155
Minsk	0.143011
Vientiane	0.14178
Lusaka	0.141203
"Addis Ababa"	0.138795
Riyadh	0.138594
BOGOTA	0.137811
Bamako	0.13443
Dakar	0.133866
CAIRO	0.133586
KIEV	0.133321
Kabul	0.13305
Bujumbura	0.13298
Dili	0.132344
Amman	0.132162
Khartoum	0.131242
Asuncion	0.131169
MAPUTO	0.129554
Belfast	0.128416
HARARE	0.127726
Pretoria	0.127284
Lagos	0.127184
Luanda	0.127083
Kandahar	0.127045
TIRANA	0.125912
Nairobi	0.125347
Islamabad	0.124775
Baku	0.123977
Brazzaville	0.123899
TEGUCIGALPA	0.123429
"La Paz"	0.123332
Maseru	0.123082
Abuja	0.122881
Pristina	0.12264
Rabat	0.122383
Yerevan	0.122086
Bishkek	0.12207
Doha	0.121851
"Phnom Penh"	0.121456
Havana	0.121235
Jeddah	0.121084
Vilnius	0.120707
Muscat	0.120689
SOFIA	0.120418
ZAGREB	0.120188
Sarajevo	0.120057
Beirut	0.119967
Jakarta	0.119572
"New Delhi"	0.119411
Vienna	0.118499
Suva	0.11785
Bangui	0.11778
Quito	0.1174
Karachi	0.117199
Libreville	0.116922
Lahore	0.116773
"San Salvador"	0.116688
Damascus	0.116637
BUCHAREST	0.1165
Podgorica	0.11611
CARACAS	0.115765
Peshawar	0.115436
Geneva	0.114851
SEOUL	0.114639
"Cape Town"	0.114428
Lima	0.113697
Vladikavkaz	0.112518
Srinagar	0.112232
Istanbul	0.11209
Moroni	0.112028
Arusha	0.111865
Ashkhabad	0.111554
COLOMBO	0.111423
Santiago	0.111221
Oslo	0.110877
KAMPALA	0.110686
JOHANNESBURG	0.11039
Taipei	0.110074
Katmandu	0.110047
BRUSSELS	0.110045
"Buenos Aires"	0.109654
"Tel Aviv"	0.109586
LISBON	0.109272
Tehran	0.109107
"Dar es Salaam"	0.1087
SANAA	0.10791
Amsterdam	0.107125
BUDAPEST	0.106253
HANOI	0.10625
Entebbe	0.106152
PATNA	0.105181
Ljubljana	0.104857
Port-au-Prince	0.104842
Mombasa	0.104647
Honiara	0.104427
Madrid	0.104375
Bangkok	0.104349
DHAKA	0.104336
ANKARA	0.104038
Dublin	0.103542
Ouagadougou	0.102802
"Port Moresby"	0.102765
YANGON	0.101974
Manila	0.101544
"Kuala Lumpur"	0.101278
BLANTYRE	0.101224
Calcutta	0.100945
Yaounde	0.100632
TUNIS	0.0998103
Reykjavik	0.0993555
STOCKHOLM	0.0990702
Zurich	0.0986428
PYONGYANG	0.0982641
Kathmandu	0.0976531
NICOSIA	0.097559
BRASILIA	0.0974171
Paris	0.097241
Moscow	0.0971352
Durban	0.0969793
Astana	0.0967975
BRATISLAVA	0.0964665
Baghdad	0.0958245
Lausanne	0.0955941
Kuito	0.0950722
Xian	0.0949822
Prague	0.0948576
Helsinki	0.0948145
Cartagena	0.0946616
Ambon	0.0945739
Lhasa	0.0943805
BELGRADE	0.0937833
Managua	0.0937291
"CHIANG MAI"	0.0935016
WARSAW	0.0932703
Jayapura	0.0929118
Almaty	0.0928146
Huambo	0.0926254
Togo	0.0924831
Frankfurt	0.0922321
"Ho Chi Minh City"	0.0921998
Mogadishu	0.0914866
"Mexico City"	0.091353
Urumqi	0.0912424
"Abu Dhabi"	0.0912091
Bombay	0.091125
Copenhagen	0.0909593
Tallinn	0.0908938
Gaza	0.0907531
Auckland	0.0906313
LONDON	0.090125
"Banja Luka"	0.0897826
Lubumbashi	0.0890385
"Ulan Bator"	0.0886215
"Egyptian capital"	0.0878991
ATHENS	0.0877308
BEIJING	0.0862636
Guadalajara	0.0860977
Goma	0.0860298
Valletta	0.0857123
Munich	0.085547
Jolo	0.0855361
Kyoto	0.085374
DUBAI	0.08515
Alexandria	0.085062
Bulawayo	0.0850447
Osaka	0.0850315
Ramallah	0.0849308
Kunming	0.0847912
Perth	0.084744
Bonn	0.0846815
Kingston	0.0843018
Tokyo	0.0841559
"Nigerian capital"	0.084111
Dodoma	0.0837296
Medellin	0.083698
"Little Rock"	0.0831651
Berlin	0.0830314
Bangalore	0.0825986
"San Juan"	0.0821823
))
(Abilene (desc 3930.46) (sims
Harlingen	0.160147
Amarillo	0.154868
"Corpus Christi"	0.152081
McAllen	0.150896
Beaumont	0.139046
"Wichita Falls"	0.134803
Lubbock	0.128905
Wichita	0.124158
Texarkana	0.121094
Odessa	0.120154
midland	0.117441
Laredo	0.116217
Topeka	0.113654
"Port Arthur"	0.112331
"Fort Worth"	0.112262
Shawnee	0.109256
Plano	0.10907
"College Station"	0.10688
Brownsville	0.103511
"Del Rio"	0.103501
"San Angelo"	0.102396
Denton	0.101336
"Crystal City"	0.0996149
Longview	0.0994998
"Grand Prairie"	0.0981227
"Eagle Pass"	0.0975708
Galveston	0.0947756
"Garden City"	0.094696
"Round Rock"	0.0916928
"El Paso"	0.0914444
Arlington	0.0908606
"San Antonio"	0.0901311
"New Braunfels"	0.0894117
Boise	0.086828
Nacogdoches	0.0861208
"Oklahoma City"	0.0856852
Youngstown	0.0854143
Austin	0.0847391
Missoula	0.0841928
Bangor	0.0831136
"Little Rock"	0.0823248
ASHEVILLE	0.0823034
Leavenworth	0.0812095
Shreveport	0.080964
Huntsville	0.0809154
Wilmington	0.0802364
Waco	0.0801427
Morristown	0.0798621
Minneapolis	0.0796144
Yuma	0.0785905
"East Los Angeles"	0.0780518
Quincy	0.0779894
Laramie	0.0776005
"Overland Park"	0.0772853
Jasper	0.0771813
Leawood	0.0769061
Americus	0.0762948
"San Marcos"	0.0762594
Fredericksburg	0.0758853
Killeen	0.0756215
Lenexa	0.0753478
"Highland Park"	0.0752965
Olathe	0.0742911
Peterborough	0.074202
"Baton Rouge"	0.0739906
"South Bronx"	0.0739232
Albuquerque	0.0732366
Tucson	0.0731832
Montclair	0.0729155
Holyoke	0.0728797
"Newport Beach"	0.0728641
Flagstaff	0.0726621
Knoxville	0.0718195
Carrollton	0.0716558
Greenville	0.0715194
Pittsburg	0.0708155
Macon	0.0704128
Irving	0.0699636
Stockbridge	0.0698716
Winston-Salem	0.0695606
Springfield	0.0693061
"Twin Cities"	0.0691172
Richmond	0.0690874
Framingham	0.0682082
Watertown	0.068184
"West Palm Beach"	0.0679589
Freeport	0.0677505
Gainesville	0.0675579
Tyler	0.0674959
Hillsboro	0.0670655
Eureka	0.0663308
Utica	0.0662917
Bridgewater	0.0662176
"Van Nuys"	0.0659888
Augusta	0.0659292
"South Bend"	0.065668
Lufkin	0.065019
"Saratoga Springs"	0.0648687
Carthage	0.0646153
"New Rochelle"	0.0645069
Guadalajara	0.0643671
Westfield	0.0642641
"Des Moines"	0.0642231
Elmira	0.0639458
"Lake Worth"	0.0637956
Chatham	0.0635054
Newark	0.0634215
Braintree	0.063116
Falmouth	0.0630318
Albany	0.062808
anchorage	0.0627565
Redding	0.0624889
Stamford	0.0622587
Florence	0.0620408
Chattanooga	0.0617776
Marietta	0.0615424
Encino	0.061496
Flushing	0.061467
Honolulu	0.0614616
Juarez	0.0611612
LAKEWOOD	0.06109
Lansing	0.0610846
Kalamazoo	0.060759
Bridgeport	0.0607476
Plattsburgh	0.0607454
Yonkers	0.0605836
Columbus	0.0604961
Raleigh	0.0602324
"West Orange"	0.0601757
Dubuque	0.0600981
Middletown	0.0599546
Katy	0.0596426
Ensenada	0.0595591
"Guatemala City"	0.0595034
Akron	0.0592722
"Wyandotte County"	0.0592147
"East Orange"	0.0590755
Bloomington	0.058946
Rochester	0.0588342
"Huntington Beach"	0.0588054
Pasadena	0.0586907
"Santa Cruz"	0.0586882
Hartford	0.0583844
"Quebec City"	0.0583538
Tapachula	0.0581123
Tampa	0.0579598
"Thousand Oaks"	0.0579198
Ithaca	0.0578811
"Miami Valley"	0.0578534
"Salt Lake City"	0.0578318
Xenia	0.0576237
Dorchester	0.0575936
Newton	0.0575329
"Fort Myers"	0.0573121
Hurst	0.0573011
"Nuevo Laredo"	0.0571665
"Johnson County"	0.0567645
Medford	0.056722
"Grand Rapids"	0.0567184
Spokane	0.0567183
"St. Petersburg"	0.0565684
Tempe	0.0564973
"Crown Heights"	0.0564666
"Sao Paulo"	0.0564135
"White Plains"	0.056148
Harlem	0.0561423
"La Paz"	0.0559164
Harrisburg	0.055802
"Park Slope"	0.055783
Modesto	0.0555393
Weimar	0.0554989
"Great Neck"	0.0554975
Somerville	0.0553398
Waterville	0.0552189
Mosul	0.0552184
"Iranian capital"	0.055193
Chatsworth	0.0547333
Charlestown	0.0546568
"Daytona Beach"	0.0545044
Naples	0.0543699
Internet@	0.0542605
BOGOTA	0.0542228
Tacoma	0.0541301
"Fairfax County"	0.0540519
"Rio Grande Valley"	0.0540248
Peekskill	0.0538735
Birmingham	0.0538623
Poughkeepsie	0.0537706
Lawrence	0.0532611
"Rocky Mount"	0.0530796
"New Haven"	0.0530577
Tarzana	0.0530269
canton	0.0527101
Scranton	0.0525792
FARGO	0.0525474
Louisville	0.0524873
Greenwich	0.0524385
Fresno	0.0523915
"East Harlem"	0.0522184
Savannah	0.0521993
))
(ability (desc 157718) (sims
skill	0.233555
capability	0.197643
willingness	0.180809
talent	0.172057
strength	0.167374
quality	0.162995
determination	0.154944
potential	0.142957
desire	0.139267
integrity	0.138957
capacity	0.137988
effectiveness	0.135006
commitment	0.134938
experience	0.134156
courage	0.133962
knowledge	0.1338
credibility	0.133165
intelligence	0.129867
success	0.129345
competence	0.128965
expertise	0.12889
performance	0.128615
prowess	0.127245
power	0.127141
need	0.126618
Creativity	0.125217
inability	0.123853
efficiency	0.121466
readiness	0.120577
confidence	0.120161
achievement	0.120115
stamina	0.119952
competitiveness	0.119839
role	0.119671
effort	0.118797
loyalty	0.117949
speed	0.117325
accomplishment	0.116766
patience	0.115776
flexibility	0.115645
personality	0.115492
attitude	0.11479
vision	0.114787
toughness	0.113247
acumen	0.112959
sense	0.112887
resilience	0.112758
honesty	0.112675
style	0.111443
resolve	0.111364
ethic	0.111315
accuracy	0.110856
health	0.110741
professionalism	0.110355
presence	0.110262
reputation	0.110144
size	0.109882
wisdom	0.109373
versatility	0.109189
value	0.108853
quickness	0.108303
ambition	0.10814
fact	0.108119
interest	0.107736
technique	0.107414
instinct	0.106676
stability	0.105792
popularity	0.105495
enthusiasm	0.104247
lack	0.104164
resource	0.104109
prospect	0.103843
behavior	0.103261
chance	0.103204
reliability	0.103184
intellect	0.103108
responsibility	0.103062
strategy	0.102925
intention	0.102824
tenacity	0.102806
status	0.102753
depth	0.1023
dedication	0.101908
opportunity	0.101352
clout	0.100538
perseverance	0.100423
spirit	0.100217
support	0.100135
diversity	0.100006
viability	0.100001
discipline	0.0998742
motivation	0.0998102
growth	0.0995326
sensitivity	0.0992592
charisma	0.0991845
access	0.0991403
intensity	0.0982735
influence	0.0979869
leadership	0.0978785
identity	0.0977134
athleticism	0.0977122
approach	0.0976688
mobility	0.0974308
durability	0.0971542
number	0.0966899
technology	0.0963352
perception	0.0957552
timing	0.0955969
safety	0.0955607
productivity	0.0954228
energy	0.0952496
progress	0.0951976
poise	0.0948473
system	0.0947989
development	0.094137
nature	0.0940458
well-being	0.0938864
future	0.0936314
stature	0.0934461
consistency	0.0930184
attention	0.092988
dignity	0.0927972
credential	0.0927084
availability	0.092689
sincerity	0.0926145
wealth	0.0924253
imagination	0.0922844
background	0.091865
reluctance	0.0917864
participation	0.0915923
that	0.0915017
function	0.0914344
freedom	0.0911722
plan	0.090941
belief	0.0908856
maturity	0.0908797
failure	0.0907199
difficulty	0.0906709
involvement	0.0902851
awareness	0.0902785
relationship	0.0902039
structure	0.090184
response	0.0900138
tendency	0.0899313
temperament	0.089891
method	0.0893738
"hard work"	0.0893557
judgment	0.0893458
profitability	0.0893218
tool	0.0892728
impact	0.089255
characteristic	0.0891872
decision	0.0889845
understanding	0.08875
position	0.0885749
contribution	0.0881389
unwillingness	0.0880995
character	0.0880099
seriousness	0.0875842
vitality	0.0874424
aggressiveness	0.0874235
passion	0.087333
work	0.0871281
self-confidence	0.0868485
economy	0.0864435
proficiency	0.0862584
innovation	0.0859707
image	0.0857299
morale	0.0856545
policy	0.0856412
endurance	0.0856177
ingenuity	0.0856089
right	0.0855206
demand	0.0854964
teamwork	0.0854419
outcome	0.0853375
taste	0.0852215
action	0.0851675
tactic	0.0848964
importance	0.0848356
idea	0.0847989
use	0.0844234
education	0.0843855
respect	0.0843057
culture	0.0839737
will	0.0838939
motive	0.083858
fitness	0.0837168
benefit	0.0837147
excellence	0.0835788
Defense	0.0835463
activity	0.0835451
fortitude	0.0835056
level	0.0834934
generosity	0.0833251
longevity	0.0832761
qualification	0.083122
outlook	0.0831156
charm	0.0830099
training	0.0829191
))
(Abiola (desc 10507.9) (sims
"Moshood Abiola"	0.275307
Gusmao	0.12662
Obasanjo	0.121238
Dudayev	0.114898
Abacha	0.11302
Yassin	0.111275
Pollard	0.10886
Mandela	0.103105
Nkabinde	0.102651
Starovoitova	0.0998578
"Sani Abacha"	0.099239
Nkomo	0.0977966
Baez	0.0975335
Kaunda	0.0972053
Fahey	0.0971306
Nyerere	0.0954362
Webdale	0.0938378
"Suu Kyi"	0.0920108
Dorismond	0.0914405
Babitsky	0.089219
Raznatovic	0.0881503
Kiareldeen	0.0877617
Amedure	0.0868805
Gotti	0.086761
"Griffith Joyner"	0.0865172
"Xanana Gusmao"	0.0859449
Sankoh	0.085836
"Lino Oviedo"	0.0852353
Xanana	0.0846706
"political detainee"	0.0838385
Karbaschi	0.0822016
Gusinsky	0.081686
Sharif	0.0815601
Mitterrand	0.0813791
Gathers	0.0813065
Perrot	0.0804566
Moxley	0.0804301
Lawler	0.0802668
"political dissident"	0.0801557
Tudjman	0.0794
Byrd	0.078964
"political prisoner"	0.0785216
Slepian	0.0779789
Assad	0.0769208
Pinochet	0.0764936
Sheppard	0.0764016
Berisha	0.0760373
Hofer	0.0756882
Gadhafi	0.0755409
"Pol Pot"	0.0751031
Berenson	0.0748718
Gerardi	0.0746501
"Aung San Suu Kyi"	0.0742309
Coverdell	0.0740911
Suharto	0.0740472
Castro	0.0736513
Farrakhan	0.073608
Ricart	0.0732142
Lin	0.073119
"Jonathan Pollard"	0.072794
Tuinei	0.0726028
Anwar	0.0723108
detainee	0.0722033
Sarsour	0.0718468
Rabin	0.0712918
Diallo	0.0711679
"JFK Jr."	0.0710561
Oviedo	0.0710456
Dahmer	0.0706895
"Kim Il Sung"	0.0704335
Imperatori	0.0703722
"Raul Salinas"	0.0701134
Ileto	0.0696942
Trudeau	0.0689879
Youk	0.0687039
Weizman	0.0686629
Rugova	0.0684424
Barton	0.0683445
Deng	0.0683312
Alves	0.0683037
Norberg	0.0682636
Aidid	0.0682394
JonBenet	0.0679869
Speight	0.0677606
Neulander	0.0676061
Shepard	0.0674243
Gonzalez	0.0673801
"Khieu Samphan"	0.067348
"Hafez Assad"	0.0672852
Hess	0.0672752
Soong	0.0669766
Yeltsin	0.0668082
Resendez-Ramirez	0.06653
Ramirez	0.066383
Obuchi	0.0661392
Beye	0.0660536
Havel	0.0654278
Abubakar	0.0653537
Berezovsky	0.0653439
Batouty	0.0653
Hajdari	0.0652886
Binion	0.0652834
Ocalan	0.0650717
Herron	0.0648952
"Florence Griffith Joyner"	0.0647413
"Lawton Chiles"	0.0647208
Flores	0.0646709
Guerin	0.0645462
Stahl	0.064539
Mugabe	0.0641743
"Iranian POWs"	0.0640164
"Ta Mok"	0.0639574
Sund	0.0636149
Karmapa	0.0631675
Soeharto	0.063154
"George Speight"	0.0630772
Cheever	0.0629077
Faison	0.0627675
Wahid	0.0627367
Silverman	0.0626679
Marcos	0.0626452
"Hun Sen"	0.0625792
Ecevit	0.0625182
Mikhailov	0.0623167
Madrazo	0.0622769
Allende	0.0622453
Trantino	0.0622095
Schulz	0.062036
LeFave	0.0619688
"John Kennedy Jr."	0.061919
Liu	0.0618997
Rawlings	0.0617986
dissident	0.0617078
Irwin	0.0616468
Chavez	0.0615177
Merritt	0.0614604
Hussein	0.0613199
Yandarbiyev	0.0612053
Daley	0.061064
McCartney	0.0610012
Aquino	0.060953
xu	0.0609517
"Nelson Mandela"	0.0608663
Phills	0.0608283
Nateq-Nouri	0.0608039
DiMaggio	0.0607825
"David Koresh"	0.0607506
Kazhegeldin	0.0607403
"Michael Kennedy"	0.0607055
Craxi	0.0604875
"King Hussein"	0.0604334
Kennedy	0.0603995
Howell	0.0603865
"Foday Sankoh"	0.0603783
Biko	0.0603613
Mao	0.0603393
Fischer	0.0603259
Kim	0.0602368
Chen	0.0600163
Zhivkov	0.0599752
pressman	0.059901
Pamela	0.0598443
Armstrong	0.0597993
Carey	0.0596183
Perot	0.0595617
Bhutto	0.0594341
Bates	0.0593836
Byrdsong	0.0592492
Bellush	0.0591522
"Iraqi POWs"	0.0590979
Faget	0.0590748
Papandreou	0.0585998
Roosevelt	0.0584212
Aristide	0.058112
Larson	0.0581105
Gandhi	0.0580074
Moscoso	0.0579993
"King Hassan II"	0.0579863
krueger	0.0578982
O'Hair	0.0578528
Kostunica	0.05785
Wilkerson	0.0577926
Peres	0.0576733
Adair	0.0576546
"Vicente Fox"	0.0575107
Lim	0.0573743
Riady	0.0573504
Deri	0.0573034
Khomeini	0.0572705
Wang	0.0572585
Silva	0.0571297
Chirac	0.0570778
"James Byrd Jr."	0.0570588
Ortega	0.0569677
Watson	0.0569657
"King Hassan"	0.0569409
"John F. Kennedy Jr."	0.0567971
Cunanan	0.0567415
Gonzales	0.0567145
Bonanno	0.0566882
))
(Abkhazia (desc 6997.95) (sims
Nagorno-Karabakh	0.23476
Dagestan	0.174295
"North Ossetia"	0.166938
Chechnya	0.151798
Daghestan	0.146877
Aceh	0.145874
Ingushetia	0.141323
Moldova	0.126857
"Eastern Slavonia"	0.124613
Kaliningrad	0.123284
Tajikistan	0.123251
Crimea	0.119502
"East Timor"	0.117489
Kashmir	0.114353
Armenia	0.114007
Azerbaijan	0.113944
Somaliland	0.112023
Republic	0.111272
"North Caucasus"	0.107196
Cabinda	0.10634
Montenegro	0.104985
Kyrgyzstan	0.104538
"Irian Jaya"	0.10319
Mindanao	0.101542
Zaire	0.101179
Vojvodina	0.10087
Drenica	0.100617
Serbia	0.100366
Quebec	0.0994429
Caucasus	0.0988111
"West Timor"	0.0976113
Guinea-Bissau	0.0962839
Lebanon	0.0959433
Buldon	0.0932973
"Western Sahara"	0.0929979
Liberia	0.0923783
Albania	0.092241
Anjouan	0.0921087
Catalonia	0.0913041
Somalia	0.0912936
Macedonia	0.0904498
"South Vietnam"	0.0902041
Congo	0.0897062
"Sierra Leone"	0.0893703
DRC	0.0892571
"Democratic Republic of the Congo"	0.0891661
Caprivi	0.0891542
Sudan	0.0875356
Bosnia	0.0875013
Afghanistan	0.086808
Bosnia-Herzegovina	0.0864172
Taiwan	0.0862334
Croatia	0.0861068
"South Lebanon"	0.0857805
Ukraine	0.0845391
Yugoslavia	0.0842236
Namibia	0.0839492
Slovenia	0.0835681
"African nation"	0.0835567
Tibet	0.0830171
Chiapas	0.0827829
Krasnoyarsk	0.0827518
Cambodia	0.0827467
Badme	0.0807172
Angola	0.0806628
Tigray	0.0805605
Orahovac	0.080047
Ethiopia	0.0794513
Belarus	0.079071
Eritrea	0.0774605
Maluku	0.0772557
Burundi	0.0768926
"Northern Ireland"	0.0768738
Kurdistan	0.0764695
"Federal Republic"	0.0764323
PNG	0.0761867
Punjab	0.0757176
Kisangani	0.0754932
"North Mogadishu"	0.0753675
Algeria	0.0747492
"South Asia"	0.0746292
"Gaza Strip"	0.074512
"Russian Federation"	0.0745068
Brcko	0.0744819
Uzbekistan	0.0741281
Xinjiang	0.0740844
"D.R Congo"	0.0739688
"Democratic Republic of Congo"	0.0738376
Mitrovica	0.0736307
Niger	0.0733264
Balkans	0.0729848
Khabarovsk	0.0728204
Panama	0.0724964
Brazzaville	0.0724529
Sindh	0.0723475
"Democratic Republic"	0.072205
Rwanda	0.0721551
Rangoon	0.0720825
Grozny	0.0716332
"Mount Lebanon"	0.0716202
Basilan	0.0715394
Guatemala	0.0713459
Mogadishu	0.071157
Pailin	0.0709204
Nicaragua	0.0705789
Yemen	0.0703543
Batticaloa	0.0701264
"Middle East"	0.0700223
Palestine	0.0699759
"West Bank"	0.069938
"North Maluku"	0.069903
Gaza	0.069745
"Central Asia"	0.0696241
Bissau	0.0691789
"Persian Gulf"	0.068876
Bamiyan	0.0685065
CHT	0.0683191
Sulu	0.0681318
Dushanbe	0.0680941
Qinghai	0.0676865
"Chittagong Hill Tracts"	0.0675789
Umbria	0.0672599
"Central Africa"	0.0670787
Cyprus	0.0670247
"Balkan country"	0.0665134
Kazakhstan	0.0661252
Putumayo	0.0657236
Senegal	0.0655281
Katanga	0.0652919
KwaZulu/Natal	0.0650563
Bekaa	0.0650426
Ulster	0.0650009
Turkmenistan	0.064956
Lithuania	0.0646921
"Sri Lanka"	0.0646811
"North Korea"	0.06455
Bulgaria	0.0644344
"Inner Mongolia"	0.0642712
Brittany	0.0638483
Guangxi	0.063772
"Guinea Bissau"	0.0636424
Comoros	0.0635679
Benin	0.0634961
Togo	0.0632067
Colombia	0.0632026
Kwazulu-Natal	0.0631656
Ambon	0.0631032
Bangladesh	0.0629704
Gauteng	0.0628095
Bhutan	0.0625823
Haiti	0.0625151
Timor	0.0624644
"Niger Delta"	0.0623157
Yunnan	0.0623048
"Central Asian"	0.0620894
homeland	0.0619996
Sichuan	0.0619368
"Yugoslav Federation"	0.0619134
Guizhou	0.0618977
"East Jerusalem"	0.0615014
Zanzibar	0.0614864
"Turkish Cypriots"	0.061401
Baidoa	0.0612909
Peru	0.061076
Kuwait	0.0605536
Tbilisi	0.0605294
"East Asia"	0.0602605
Sakhalin	0.0602212
Kargil	0.0601487
Puglia	0.0598959
Newfoundland	0.0598122
Maguindanao	0.0597116
Bougainville	0.0596988
Chad	0.0596941
Guantanamo	0.0595257
Mostar	0.0593848
Korea	0.0593019
Latvia	0.0592811
Burma	0.0590264
Lesotho	0.0588979
"Republika Srpska"	0.058758
Jammu	0.0586274
Cameroun	0.0585159
leone	0.0582626
Jolo	0.0581817
"Irish Republic"	0.0579873
Vladikavkaz	0.0579678
Kandahar	0.057864
Gansu	0.0578131
Batam	0.0577764
"Balkan nation"	0.0577506
Decani	0.0576495
Shanxi	0.0576394
Kingdom	0.0573595
Chechen	0.0573279
"Bekaa Valley"	0.057293
"Liberian capital"	0.0571072
Sarajevo	0.0570248
Zambia	0.0569583
"South Mogadishu"	0.0569125
))
(Abkhazian (desc 1035.14) (sims
Tajik	0.269892
Kashmiri	0.269804
Zairian	0.233834
"Kosovo Albanian"	0.222829
Chechen	0.219793
Taleban	0.215682
Ingush	0.194119
"Ethnic Albanian"	0.18816
Montenegrin	0.188052
Kosovar	0.188045
Ivorian	0.186607
Sandinista	0.181571
"Bosnian Croat"	0.174867
Camerounian	0.172385
Azeri	0.172016
Kurd	0.160463
"Bosnian Muslim"	0.158526
Zapatista	0.157364
Bougainville	0.153792
Uzbek	0.1531
Timorese	0.15095
Banyamulenge	0.145126
"South Vietnamese"	0.144607
BASQUE	0.14341
Azerbaijani	0.13908
Kurdish	0.135275
"Afghan Taliban"	0.135134
SPLA	0.132369
"Bosnian Serb"	0.131602
Belarusian	0.13093
Islamist	0.127992
Kyrgyz	0.127783
Turkmen	0.12524
Ecuadorean	0.124911
"Sierra Leonean"	0.120846
Botswanan	0.120439
"Sri Lankan"	0.120019
Moldovan	0.11994
slain	0.118579
Rwandese	0.118066
Breton	0.117166
ragtag	0.115816
Armenian	0.11489
"Costa Rican"	0.114056
"Tamil Eelam"	0.112563
Kazakh	0.112359
Estonian	0.111233
"Shiite Muslim"	0.110538
Interahamwe	0.109523
Moro	0.109376
"Northern Irish"	0.109006
PUK	0.107516
"U. N."	0.106832
ninja	0.105955
Latvian	0.105615
Forty-four	0.104779
Belarussian	0.103826
Ecuadoran	0.103185
"East Timorese"	0.103165
"North Korean"	0.10308
Kazak	0.102729
INDIA-PAKISTAN	0.10221
MRTA	0.100807
RRA	0.0981652
MNLF	0.0965901
WNBF	0.0960562
RCD	0.0955673
"Polisario Front"	0.0952576
PNP	0.0943335
ZCTU	0.0940767
Contra	0.0931554
Ijaw	0.0930227
Slovakian	0.0920488
"Saudi Arabian"	0.091718
"Senate Republican"	0.0914746
"Kosovar Albanian"	0.0908689
Lithuanian	0.0908027
UML	0.0898635
royalist	0.08968
Anjouan	0.0891766
"Greek Cypriot"	0.0888648
"Turkish Cypriot"	0.0888362
NRM	0.0881065
"North Vietnamese"	0.087187
pro-western	0.0868523
KDP	0.084814
Israeli-Arab	0.0830716
PML	0.0827815
Hutu	0.0825949
plainclothes	0.0818088
UUP	0.081705
"civil defense"	0.0808149
Maltese	0.0807533
"South Korean"	0.0804621
UDF	0.0803671
basij	0.0803496
Cabinda	0.0801573
Ukrainian	0.0798249
Slovak	0.0789269
LRA	0.0781463
RUF	0.0776041
DFB	0.0774126
"Republican House"	0.0773657
Thirty-four	0.077293
resolving	0.0764614
Druse	0.0759786
MMD	0.0756208
"House Republican"	0.0754878
"five key"	0.0751922
mujahedeen	0.0751336
Caprivi	0.0749649
EBRD	0.0747946
hardline	0.0742432
"House GOP"	0.0736488
teamster	0.0734713
Ulster	0.0733737
Icelandic	0.0733193
Croat	0.0733059
Arab-Israeli	0.0724069
PBA	0.0723351
Nagorno-Karabakh	0.0721633
Balkan	0.0714606
pan-African	0.0714087
Ukranian	0.0714033
self-proclaimed	0.0712591
Sikh	0.0701566
UMNO	0.0699791
Tutsi	0.0699747
"Khmer Rouge"	0.0697366
E.U	0.069555
pro-Islamic	0.0694537
Somaliland	0.0692428
Shiite	0.0690097
"Western European"	0.0688652
Lao	0.0687074
secessionist	0.0681852
CWA	0.0678123
"Sunni Muslim"	0.0675293
IFP	0.0674403
"four key"	0.0671228
Philippine	0.0669303
Marehan	0.0669234
AFA	0.0668776
ADF	0.0668693
GSS	0.0668209
"Christian Democrat"	0.0666953
UNIP	0.0666035
KNU	0.0663815
Bakassi	0.0662762
"Chinese NPC"	0.0659854
"D.R Congo"	0.0657939
"Middle Eastern"	0.0657574
FARC	0.0655329
Oedipal	0.0654407
"Three key"	0.0652663
NDF	0.0651346
Fifteen	0.0649848
Kuomintang	0.0645628
"Resistance Army"	0.063886
Morelos	0.0637189
"New Democracy"	0.063273
NDP	0.0631562
"Labour Party"	0.0630034
"another seven"	0.0628171
Comoros	0.0628166
"Republican Senate"	0.0626874
"Ulster Unionist"	0.062604
PLO	0.0624639
"Robert Gelbard"	0.0624196
"Russian Interior Ministry"	0.0623182
UNP	0.0622792
Catalan	0.0622049
"East German"	0.0620164
Finnish	0.0615701
"Red Crescent"	0.0614306
PCF	0.0613817
OCA	0.061356
"Israeli Arab"	0.0612966
"up to @,@@@"	0.0610562
Renamo	0.0608883
pan-Arab	0.0607101
Guinea-Bissau	0.0605046
inter-Korean	0.0604814
"American Jewish"	0.060478
PNG	0.0604665
counterterrorism	0.0604226
Hezb-i-Islami	0.0603687
KwaZulu/Natal	0.0602506
inter-Arab	0.0596503
ELN	0.0593365
DAP	0.0593139
"Vietnamese Communist Party"	0.0591717
post-@@@@	0.0590574
"West African"	0.0587158
"South Mogadishu"	0.0586821
Hesse	0.0585333
MHP	0.0584179
PDI	0.0581725
"British Foreign Office"	0.0581254
Iroquois	0.0577115
))
(ABL (desc 6419.04) (sims
"American Basketball League"	0.28654
"Continental Basketball Association"	0.121109
"National Basketball Association"	0.120099
AFL	0.116985
WNBA	0.11517
NHL	0.107556
"Southwest Conference"	0.106775
CBA	0.103357
"National Hockey League"	0.0995997
ABA	0.0978405
NBA	0.0967477
"Big East"	0.0947128
ml	0.0941549
"Yamaichi Securities Co."	0.0920348
"Western Athletic Conference"	0.0864926
Bundesliga	0.0864005
"American League"	0.0850595
"Big @@"	0.0841727
"professional basketball"	0.0828185
WAC	0.0815526
"National League"	0.0812769
Pac-@@	0.0808719
"Arena League"	0.0807448
"Canadian Football League"	0.0806698
AHL	0.0801885
"East African Community"	0.0795224
"NFL Europe"	0.0794735
"National Football League"	0.0776011
"Arena Football League"	0.0775387
ACC	0.0774876
"Big Sky Conference"	0.0767379
"American Football League"	0.0763651
"Warsaw Pact"	0.0758049
"Atlantic Coast Conference"	0.0752043
"professional baseball"	0.0745916
Yamaichi	0.0742841
XFL	0.0735002
"basketball league"	0.0726677
WHA	0.0726497
NFL	0.0724468
"Cactus League"	0.0716848
"Horned Frogs"	0.0716036
"American Hockey League"	0.0709737
"Big Sky"	0.0700426
"major league"	0.0699906
Pacific-@@	0.0687384
"Southeastern Conference"	0.0685308
"Fighting Irish"	0.0684853
LPGA	0.0684349
IHL	0.0679037
"little league"	0.0678066
CWS	0.0674458
"Division I-AA"	0.0654485
"Negro Leagues"	0.0652291
soccer	0.0651683
"Italian League"	0.0651494
"Islamic Welfare Party"	0.0650726
nine-time	0.0650043
NL	0.0648154
"Diamond Multimedia"	0.0646738
Springbok	0.0641435
Mavs	0.06335
"Indy Racing League"	0.0627809
"Little League World Series"	0.0623839
gamecock	0.0617065
CAA	0.060936
"Conference USA"	0.0602811
"Big West"	0.0600277
"Tar Heels"	0.0600257
NFC	0.060014
"TOMS RIVER"	0.0598572
Sogo	0.0597496
Seahawk	0.0591194
C-USA	0.0589802
UTEP	0.0588954
Starzz	0.0586649
"College World Series"	0.0586073
Celtics	0.0580405
"LPGA Tour"	0.0579626
"minor league"	0.0578616
"Championship Auto Racing Teams"	0.0577955
dot-com	0.056531
"NFC East"	0.056485
"junior college"	0.0564656
CellPro	0.0563086
Hoosier	0.0562286
"World League"	0.0561368
"Red Star"	0.0560933
"Chicago Bears"	0.055661
sixer	0.0555958
UPI	0.0555615
cruiserweight	0.0555137
"professional football"	0.0553099
"Premier League"	0.0552608
"Chicago Bulls"	0.0550293
AFC	0.0547203
"Houston Comets"	0.0544341
IRL	0.0542321
"PGA Tour"	0.0540217
"United States Open"	0.0539075
"Houston Oilers"	0.0539046
lacrosse	0.0536701
Sonics	0.0536428
Razorback	0.0534499
gopher	0.0531636
"Cleveland Browns"	0.0529971
PBA	0.052898
"Detroit Lions"	0.0527958
"Crimson Tide"	0.0527882
"N.C. State"	0.0527038
"Winston Cup"	0.0522092
"Pro Bowl"	0.0521325
"International League"	0.0520363
Rattler	0.0520265
"National Invitation Tournament"	0.0519256
Vasco	0.0517841
USSR	0.0515354
Ajax	0.0515261
"Philadelphia Flyers"	0.051377
NCAA	0.0513312
"professional golf"	0.0511119
Oriole	0.0509641
"Class AAA"	0.0509231
SMU	0.0508685
"Solheim Cup"	0.0507428
Lobos	0.0506905
hockey	0.0506382
WCC	0.050466
JetBlue	0.050378
NLCS	0.0503756
kiwi	0.0502861
"Con Ed"	0.0501926
Livent	0.0501482
DIVX	0.0501308
Lilco	0.0500364
Sooners	0.0499488
"AFC West"	0.0496977
"Shanghai Shenhua"	0.0496329
"Indiana State"	0.0495518
UConn	0.0494854
Obilic	0.0494128
PGA	0.0491899
under-@@	0.0490869
"Los Angeles Sparks"	0.0489729
"Dallas Cowboys"	0.0489461
"Los Angeles Galaxy"	0.0489074
"European Tour"	0.0488321
Wolfpack	0.0488252
"American football"	0.0487736
"Ivy League"	0.048769
"Division @"	0.0486735
"Phenix City"	0.0486024
"NL Central"	0.0485644
Serie	0.0485356
"Miami Heat"	0.0485167
Karpov	0.048464
"NBA Finals"	0.0483146
"European Cup"	0.0483081
"Vancouver Canucks"	0.0481633
Cavs	0.0481481
"Red Storm"	0.0481321
"Boston Celtics"	0.048132
"New York Giants"	0.0480132
MLS	0.0480066
Blackhawks	0.047961
"big league"	0.0478323
"Top Fuel"	0.0478283
"Netscape Communications"	0.0478066
"Rose Bowl"	0.0478033
thrasher	0.0477417
Alltel	0.0474089
buckeye	0.0473234
"Bayern Munich"	0.0473214
maverick	0.0473007
"NASCAR Winston Cup"	0.0472873
TCU	0.0472033
piston	0.0471069
McKesson	0.0470857
Cornhusker	0.0470714
clipper	0.0469449
Trojan	0.0468792
UAB	0.0467999
"International Hockey League"	0.0467538
"Los Angeles Lakers"	0.0465368
USC	0.0464629
"Pittsburgh Penguins"	0.0464225
"Toronto Maple Leafs"	0.0463329
"Senior PGA Tour"	0.0463212
"Dallas Burn"	0.0462668
HKFA	0.0462478
"South Regional"	0.0462373
"Green Bay Packers"	0.0462128
"Mississippi State"	0.0460515
Orioles	0.0459652
"Busch Series"	0.0458409
NAU	0.0458064
Netscape	0.0457714
A.L.	0.0457142
BYU	0.0457086
SEC	0.0457029
))
(ABM (desc 2453.29) (sims
"Anti-Ballistic Missile Treaty"	0.19924
"ABM Treaty"	0.199063
Japan-U.S.	0.148762
"START III"	0.137919
"collective security"	0.111453
NPT	0.103173
"START II"	0.0997534
nonproliferation	0.0952621
"penal code"	0.0938754
"arms control"	0.0911538
NMD	0.0888699
"Criminal Procedure Law"	0.0844968
deterrence	0.083757
"Clean Air Act"	0.0821044
U.S.-Japan	0.0818363
"criminal law"	0.0815255
serfdom	0.0796512
tort	0.0794382
bylaw	0.0781033
zoning	0.077866
"Civil Rights Act"	0.0754676
GATT	0.072507
"customs union"	0.0705979
"rule of evidence"	0.0703098
CHT	0.0693931
"U.S. Constitution"	0.0678173
Non-Proliferation	0.0667838
Maastricht	0.0654311
"Maastricht Treaty"	0.0641436
IPR	0.0641389
"American plan"	0.0641191
U.S.-Russian	0.0636758
S-@@@	0.0631669
"Title VII"	0.0628812
armistice	0.0622275
"Clean Water Act"	0.0620125
"poison pill"	0.0612684
"Geneva convention"	0.0602991
"Sino-Japanese Joint Statement"	0.0599429
Ordinance	0.0597846
"Community Reinvestment Act"	0.0589294
"Kenyan shilling"	0.058471
Wye	0.0583873
wording	0.0582116
Kyoto	0.0581092
"Fourth Amendment"	0.0575784
"quota system"	0.0571952
THAAD	0.0570004
AEC	0.0569475
six-point	0.0565511
"Nuclear Non-Proliferation Treaty"	0.0560532
"administrative law"	0.0553157
"common law"	0.0552735
"price support"	0.0539603
AWACS	0.0537537
"life style"	0.0535342
"Article @@"	0.0533374
conscription	0.0530136
"U.N. Charter"	0.0526035
"defense policy"	0.0523997
"market order"	0.0523777
neutrality	0.0523429
"commercial law"	0.0517797
Scud	0.0516637
"antitrust law"	0.051223
"property right"	0.0511918
"Good Friday"	0.0510647
"Erie Canal"	0.0510193
labeling	0.0506699
confidentiality	0.0504054
"trade agreement"	0.0499653
"abortion law"	0.0498048
SDH	0.0497259
"Stability Pact"	0.0493117
"rule of law"	0.0490652
Russian-U.S.	0.0489229
TMD	0.0480506
NAFTA	0.0477981
"civil liberty"	0.0469053
GST	0.046755
biodiversity	0.0466901
"basic concept"	0.0466337
"trade bill"	0.0465043
"First Amendment"	0.0462714
"pork barrel"	0.0459643
"Article @"	0.0458299
"circadian rhythm"	0.0457799
"Wye River"	0.0455454
VFA	0.0453053
"bankruptcy law"	0.0452962
"Article @@@"	0.0452326
Sino-U.S.	0.0447485
"United Nations Charter"	0.0446787
decorum	0.0446657
Ada	0.0445903
"inheritance tax"	0.0445888
final-status	0.0441519
covenant	0.0439883
"entitlement program"	0.0435657
"Self-Defense Forces"	0.0435065
"UN Charter"	0.0433115
fallback	0.0432114
multiyear	0.0430887
"Montreal Protocol"	0.0430833
"capital punishment"	0.0428448
"civil law"	0.042785
"Three key"	0.0427112
P.R.C	0.0426207
conveyor	0.0425338
"counsel law"	0.0424561
secularism	0.0423633
RAMBOUILLET	0.0423535
lockbox	0.0421272
rudder	0.0419415
armament	0.0419207
"current system"	0.0418643
"public trust"	0.0416891
polygamy	0.0416449
oil-for-food	0.0415319
Sino-Russian	0.0415262
"proportional representation"	0.0414413
Sino-Japanese	0.0412791
"trade embargo"	0.0411951
Sino-French	0.0411836
"Internal Security Act"	0.0410189
"reserve fund"	0.0409834
eight-point	0.0409624
austerity	0.0408858
"security interest"	0.0408678
"Joint Statement"	0.0407411
"Uruguay Round"	0.0407276
"Deep Blue"	0.0407079
"Comprehensive Nuclear Test Ban Treaty"	0.0406556
"public security"	0.0401584
))
("ABM Treaty" (desc 1989.13) (sims
"Anti-Ballistic Missile Treaty"	0.355873
ABM	0.199063
"Clean Air Act"	0.166759
"Civil Rights Act"	0.150535
"penal code"	0.140746
"Lusaka Peace Accord"	0.135055
"U.N. Resolution @@@"	0.126854
"Geneva convention"	0.122708
NPT	0.116122
"Title VII"	0.115999
Ordinance	0.115649
"U.S. Constitution"	0.111794
"U.N. Security Council Resolution @@@"	0.109397
"Voting Rights Act"	0.106789
"Lusaka Protocol"	0.105906
"Montreal Protocol"	0.105425
"Article @"	0.102134
bylaw	0.102018
"Oslo Accord"	0.10107
"Criminal Procedure Law"	0.099869
"trade agreement"	0.0982458
covenant	0.0978454
"Oslo Accords"	0.0968696
"Fourth Amendment"	0.094289
"Clean Water Act"	0.0929798
"criminal law"	0.0916597
"antitrust law"	0.0909355
"Nuclear Non-Proliferation Treaty"	0.0905537
"Maastricht Treaty"	0.0896022
"abortion law"	0.0883878
armistice	0.086047
"International Covenant"	0.0848194
"United Nations Charter"	0.0844589
"Vienna Convention"	0.0834947
statute	0.082873
"Endangered Species Act"	0.0823222
"Telecommunications Act"	0.0812184
"rule of law"	0.076841
"Article @@@"	0.0763745
"counsel law"	0.0742295
"Comprehensive Test Ban Treaty"	0.0742046
"Sino-British Joint Declaration"	0.0741574
"Kyoto Protocol"	0.0737846
"employment contract"	0.0734729
"freedom of the press"	0.0732889
"Helms-Burton Act"	0.0728498
CTBT	0.0719338
"current system"	0.071699
"One-China Principle"	0.070958
"public trust"	0.0708901
"commercial law"	0.0689901
"maritime law"	0.0688414
"Community Reinvestment Act"	0.0685187
"U.N. Charter"	0.0682369
"First Amendment"	0.0678637
"tax system"	0.0678107
"status quo"	0.0668838
"Basic Law"	0.0654957
"Article @@"	0.0644879
"Self-Defense Forces"	0.0642194
"civil liberty"	0.0638626
"fundamental principle"	0.0626122
CWC	0.0624531
"Resolution @@@"	0.0621914
Ada	0.0619672
"United Nations Convention"	0.0615944
"bankruptcy law"	0.0614195
"poison pill"	0.0612979
"Lome Convention"	0.0612273
"code of conduct"	0.0606041
"START II"	0.0604071
"right to privacy"	0.0602456
doctrine	0.0600863
"licensing agreement"	0.0598566
LoC	0.0590062
truce	0.0583821
"Proposition @@"	0.0580009
"law of nature"	0.0573018
"safety standard"	0.057174
Japan-U.S.	0.0569704
Wye	0.0568347
"merger agreement"	0.0566703
"security interest"	0.0566639
"Syrian Golan Heights"	0.0564135
"purchase contract"	0.0563817
"Comprehensive Nuclear Test Ban Treaty"	0.0555594
VFA	0.0554127
"political system"	0.0553779
"Joint Declaration"	0.0547233
"trade bill"	0.054215
"trade embargo"	0.054069
secularism	0.0536876
"law of the land"	0.0533932
"development plan"	0.0533151
"Title IX"	0.0529304
"labor contract"	0.0523719
"economic system"	0.0523575
"International Convention"	0.0523301
"Antiquities Act"	0.0522642
sanctity	0.0516357
"United States Open"	0.0514852
"quota system"	0.0512274
"another @@.@ percent"	0.0509772
"natural law"	0.0505182
"Parades Commission"	0.0501899
proclamation	0.0501189
confidentiality	0.0501082
"North American Free Trade Agreement"	0.0500695
"Wye River"	0.0496662
pacifism	0.049643
CITES	0.0496073
"service contract"	0.0495278
"U.N. Convention"	0.0491842
"territorial water"	0.0487754
goaltending	0.0482676
"European Convention"	0.0477255
"entitlement program"	0.0474336
"purchase agreement"	0.0471372
"social contract"	0.0471172
"administrative law"	0.0470504
"Independent Electoral Commission"	0.0467738
Buchenwald	0.0467526
"Resolution @@@@"	0.0467173
labeling	0.0466623
"medical profession"	0.0465945
"general agreement"	0.0465896
"tax advantage"	0.0464437
"basic principle"	0.0464056
"legal right"	0.0461287
NMD	0.0460649
Sino-U.S.	0.0456288
"building code"	0.0453985
"bowling ball"	0.0450799
"freedom of speech"	0.044894
"Belmont Learning Center"	0.0448563
"trading system"	0.0447058
internationalism	0.0446279
Tootsie	0.0446271
"Chemical Weapons Convention"	0.0445492
"gold standard"	0.0445035
"American plan"	0.0443835
MOU	0.0441381
"Fifth Amendment"	0.0441019
"labor agreement"	0.0440622
"Second Amendment"	0.0440348
Miranda	0.0437822
"Wine Institute"	0.0437518
"Kuril Islands"	0.0436421
Badme	0.0436214
Spring/Summer	0.0433241
"UN Charter"	0.0429528
Acela	0.0427061
edict	0.0426599
"Damascus Declaration"	0.0425715
"General Agreement on Tariffs and Trade"	0.0421701
biodiversity	0.0421627
"Bora Milutinovic"	0.0418181
Checo	0.0417904
federalism	0.0416915
"Line of Control"	0.0416803
decorum	0.0412971
zoning	0.0411947
"form of government"	0.0410848
"Proposition @"	0.0409418
"rat race"	0.0406375
precept	0.0404556
"welfare state"	0.0404433
"tax base"	0.0404119
Golan	0.0403685
Foxx	0.0402082
))
("ABN AMRO" (desc 3247.12) (sims
"ING Barings"	0.300561
"Warburg Dillon Read"	0.283292
"Lehman Brothers"	0.265076
"Hambrecht &AMP; Quist"	0.256365
"Credit Suisse First Boston"	0.246741
"Paine Webber"	0.242231
"NationsBanc Montgomery Securities"	0.238273
"Salomon Smith Barney"	0.236985
"Morgan Stanley Dean Witter"	0.235847
PaineWebber	0.234019
"Donaldson, Lufkin &AMP; Jenrette"	0.23295
Commerzbank	0.226902
HSBC	0.222533
Paribas	0.210762
"J.P. Morgan"	0.207789
"BancBoston Robertson Stephens"	0.204347
"Goldman Sachs"	0.204323
"Goldman, Sachs &AMP; Co."	0.202288
"Deutsche Bank"	0.194814
"Merrill Lynch"	0.192017
"Robertson Stephens"	0.187005
"UBS AG"	0.184684
"Bear Stearns"	0.184326
"Merrill Lynch &AMP; Co."	0.18232
UBS	0.180397
"Prudential Securities"	0.177501
"Societe Generale"	0.174384
"Credit Suisse"	0.174074
"Gomez Advisors"	0.171521
"JP Morgan"	0.169299
"Edward Jones"	0.167715
"CS First Boston"	0.166904
"Chase Manhattan"	0.166562
"Goldman Sachs Group"	0.164254
"Morgan Stanley"	0.161763
Citicorp	0.157242
"Goldman Sachs &AMP; Co."	0.155628
Banc	0.154043
"Bankers Trust"	0.151176
"Jupiter Communications"	0.148811
"Bank of America"	0.146417
"International Data Corp."	0.146308
"Forrester Research"	0.145592
"Morgan Stanley Dean Witter &AMP; Co."	0.144271
"Yankee Group"	0.141109
"Credit Lyonnais"	0.140126
Citigroup	0.137926
Dataquest	0.135543
"Gartner Group"	0.129505
"RAND Corp."	0.12695
"J.P. Morgan &AMP; Co."	0.126891
Aegon	0.124833
"Chase Manhattan Bank"	0.124565
"Deutsche Bank AG"	0.119751
"Dresdner Bank"	0.119582
"Legg Mason"	0.119341
"Chase Manhattan Corp."	0.118294
Citibank	0.116418
Goldman	0.115652
"Wells Fargo"	0.114683
IDC	0.114633
"Phelps Dodge"	0.113693
Corp.	0.113177
"First USA"	0.112796
"Andersen Consulting"	0.11172
"First Union"	0.110035
BankAmerica	0.110014
"American International Group"	0.109287
"HSBC Holdings"	0.108707
"Salomon Brothers"	0.105212
"First Union Corp."	0.104963
Litton	0.102439
"Standard &AMP; Poor"	0.102279
"T. Rowe Price"	0.101694
Donaldson	0.0983271
Dresdner	0.0981666
DRI	0.0978443
REPSOL	0.0978157
Forrester	0.0970831
Unilever	0.0953869
Sachs	0.0949544
"Morningstar Inc."	0.0932632
WELLPOINT	0.0931414
"Federal Reserve Bank"	0.0923243
"Urban Institute"	0.0923066
"Standard Chartered Bank"	0.091937
NatWest	0.0912787
Totalfina	0.0910373
"Fidelity Investments"	0.0905289
"Putnam Investments"	0.0897531
Deutsche	0.0894011
"Fannie Mae"	0.0885479
Menatep	0.0875162
"Charles Schwab"	0.0870462
"Ernst &AMP; Young"	0.0869608
"Inge de Bruijn"	0.0858782
PricewaterhouseCoopers	0.085453
IDT	0.0853197
NiSource	0.0850406
"Charles Schwab Corp."	0.0850113
BankBoston	0.0848958
Morningstar	0.0845765
"Gianni Romme"	0.0844653
"Investors Service"	0.0837047
NationsBank	0.0815328
Barclays	0.0810115
"Rintje Ritsma"	0.0807653
"GE Capital"	0.0805465
SDB	0.0800215
"brokerage house"	0.0796699
Eximbank	0.0791701
"Nomura Securities"	0.0791057
"Smith Barney"	0.0789895
"Banque Nationale"	0.0786609
"Center for Strategic"	0.0785828
"Aetna Inc."	0.0784196
"Saatchi &AMP; Saatchi"	0.0775828
ING	0.0772005
"Consumers Union"	0.0767693
"SBC Communications Inc."	0.0767685
"Carnegie Endowment"	0.0765077
Nomura	0.0761243
SunTrust	0.0760816
"Center for Democracy"	0.075702
"Softbank Corp."	0.0756622
"brokerage firm"	0.075643
"Royal Bank"	0.0748806
Federated	0.074683
Datek	0.0745723
brokerage	0.0743268
"Royal Bank of Scotland"	0.0741924
"American Enterprise Institute"	0.0739388
"PC Data"	0.0739079
ABSA	0.07324
"State Development Bank"	0.0728856
Healtheon	0.0723794
"Wim Kok"	0.0723738
GEC	0.0719195
Novartis	0.0698855
"CMGI Inc."	0.0697787
"Standard Chartered"	0.0684643
Siemens	0.0683738
Telefonica	0.0681504
KPN	0.0681186
Sumitomo	0.0680939
"National Grid"	0.0680163
"Cato Institute"	0.0677499
prudential	0.0676102
"Bank of New York"	0.0675805
Eni	0.0675289
"Travelers Group"	0.0673643
"Brookings Institution"	0.0672031
Yukos	0.0669373
"John Van Lottum"	0.066362
SFX	0.0660874
"Hang Seng Bank"	0.0659079
AlliedSignal	0.0658511
"Heritage Foundation"	0.0658091
"Halliburton Co."	0.065079
"consulting firm"	0.0640711
"Dennis van Scheppingen"	0.0640545
Pfizer	0.0639808
VEBA	0.0639391
"Mather Worldwide"	0.0639389
ICBC	0.0638648
Philips	0.0636843
Vitesse	0.0636722
"Ajax Amsterdam"	0.0636598
"China Construction Bank"	0.0636362
WorldCom	0.0634017
CMGI	0.0631826
"Museum of Natural History"	0.0631736
"Fleet Financial Group"	0.0629564
Allianz	0.0629363
Bruijn	0.0628837
"Bertelsmann AG"	0.062728
"Deutsche Telekom"	0.0623091
"Omnicom Group"	0.0620295
Bestfoods	0.0618655
"Wal-Mart Stores"	0.0617585
"Industrial and Commercial Bank of China"	0.0617372
"Walt Disney Co."	0.0616849
"Enron Corp."	0.0615967
Merrill	0.0614051
"Citigroup Inc."	0.0613576
Mastercard	0.0613114
Chevron	0.0610333
Pepsico	0.0610269
Aetna	0.0609621
BSKyB	0.0607801
Mannesmann	0.0607462
"Hamlet Cup"	0.0607082
GPU	0.0606711
Alcatel	0.0605785
Generali	0.0605423
"Philip Morris"	0.060517
"News Corp."	0.060432
"J&AMP;J"	0.0603765
Hoogenband	0.0603573
Vivendi	0.0603408
))
(Abner (desc 1330.48) (sims
Zane	0.0895827
Dilbert	0.0753082
Zhong	0.0752205
Ju	0.0740524
Diggs	0.0716722
Tintin	0.0713304
"comic strip"	0.0708586
Olympiad	0.070754
Ka-shing	0.0705542
Bing	0.0618611
"CHARLES SCHULZ"	0.0606865
"Peony Pavilion"	0.0545444
Qiang	0.0543002
Lei	0.0529334
Muppets	0.0524347
Fung	0.0520366
Nan	0.050295
Yu	0.0499369
Antony	0.0499054
"Jekyll and Hyde"	0.0493651
Blondie	0.0489656
tumbleweed	0.0483814
firmament	0.0475567
"Cosby Show"	0.047552
Bubba	0.046464
superheroes	0.0462657
"Inspector Gadget"	0.0453835
Meng	0.0449743
Saunders	0.0445013
Giselle	0.0444767
GA	0.0441566
"Music Man"	0.0441336
Xin	0.0441093
"Melrose Place"	0.0435656
"Sesame Street"	0.0434791
romano	0.0431094
Hua	0.0420933
Triomphe	0.0415907
Nutcracker	0.0415
"Anfernee Hardaway"	0.0410484
Xia	0.0409436
"Little Dog"	0.0405733
Felten	0.0404723
))
("Abner Louima" (desc 7395.24) (sims
LOUIMA	0.308672
"Rodney King"	0.158568
"Amadou Diallo"	0.141694
"James Byrd Jr."	0.0856783
rectum	0.0804874
"Patrick Dorismond"	0.0782995
Diallo	0.0739484
Brawley	0.0733096
Haitian	0.0708234
Broaddrick	0.069348
detainee	0.0651292
"Matthew Shepard"	0.0621713
Dorismond	0.0609546
Nivel	0.0594834
Baez	0.0585066
Shayler	0.0584199
ill-treatment	0.0554956
"political dissident"	0.0538935
broomstick	0.0531036
"black man"	0.0529925
Montiel	0.0512691
Azizan	0.049355
McIntosh	0.0485842
Davidian	0.0484501
"Branch Davidian"	0.0484225
gunplay	0.0482337
Jimenez	0.0477441
cellmate	0.0460677
Hodler	0.0458762
price-fixing	0.0458599
Kiareldeen	0.0454966
"Anita Hill"	0.0453039
"sexual assault"	0.0451186
"altar boy"	0.0450039
misbehavior	0.0444184
molestation	0.0442913
"sexual harassment"	0.043661
stabbings	0.0434461
Byrd	0.0433019
"Paula Jones"	0.0432812
Volpe	0.0432706
Manbar	0.0429906
"Angel Maturino Resendiz"	0.0425441
farmworkers	0.0425019
"breach of contract"	0.042404
Shepard	0.0413278
"Sephardic Jews"	0.0412552
shoplifting	0.0408626
Duvalier	0.0405533
Barrett	0.0404667
Tran	0.040217
"insider trading"	0.0402129
cover-up	0.0401444
"farm worker"	0.0400343
))
(abnormality (desc 12870.3) (sims
defect	0.219501
disorder	0.189176
malformation	0.17136
ailment	0.171347
deformity	0.159755
inflammation	0.157168
mutation	0.146529
anemia	0.145807
infection	0.144468
tumor	0.138042
"heart disease"	0.137231
impairment	0.13552
deficiency	0.133838
"heart condition"	0.133748
epilepsy	0.131088
"liver disease"	0.129397
retardation	0.127735
diabetes	0.127075
lesion	0.125915
cancer	0.125
"blood clot"	0.124469
syndrome	0.123809
complication	0.123303
disease	0.12177
asthma	0.121262
autism	0.120069
disability	0.119981
dementia	0.119701
"heart failure"	0.117237
malfunction	0.117138
illness	0.116717
"cerebral palsy"	0.11556
"mental disorder"	0.114851
ulcer	0.114165
symptom	0.112048
Osteoporosis	0.112004
anomaly	0.111343
"health problem"	0.109451
dysfunction	0.109273
"high blood pressure"	0.109052
hypertension	0.106339
"mental illness"	0.106319
"heart attack"	0.104575
cataract	0.104143
malady	0.10262
Alzheimer	0.102259
"cardiovascular disease"	0.100952
melanoma	0.100602
schizophrenia	0.099384
dehydration	0.0992395
jaundice	0.0990061
"asthma attack"	0.0988066
hemorrhage	0.0982977
allergy	0.0981919
leukemia	0.0980609
pneumonia	0.0978023
blockage	0.0977918
"Parkinson's disease"	0.0973364
miscarriage	0.0971883
alteration	0.0969205
"skin cancer"	0.0967717
"lung cancer"	0.0959873
"neurological disorder"	0.095623
relapse	0.0953394
"side effect"	0.0952007
cirrhosis	0.0949788
"genetic disease"	0.0934388
arthritis	0.0923387
trauma	0.0922004
abscess	0.0920789
arrhythmia	0.0920135
lymphoma	0.0919051
"multiple sclerosis"	0.0915331
"cancer death"	0.0909355
Depression	0.0908002
"manic depression"	0.0905443
fracture	0.0899041
imbalance	0.0889651
malignancy	0.0885371
aneurysm	0.0883941
bronchitis	0.0882005
bifida	0.0879422
"memory loss"	0.0877123
infertility	0.0876316
flaw	0.0875916
clot	0.0871059
degeneration	0.0868016
paralysis	0.0867856
"Lyme disease"	0.0867272
diarrhea	0.0864374
syphilis	0.0859173
cyst	0.0858094
"cystic fibrosis"	0.0857757
swelling	0.085645
"colon cancer"	0.0851358
hepatitis	0.0843969
deafness	0.0841617
virus	0.0838258
"brain tumor"	0.0830843
Meningitis	0.0828653
"rheumatoid arthritis"	0.0827096
"kidney disease"	0.0821572
malnutrition	0.0819627
"congestive heart failure"	0.0811666
leakage	0.0806233
Obesity	0.0805122
disturbance	0.0805089
emphysema	0.0804384
angina	0.0799497
"engine failure"	0.0798692
blindness	0.079471
"risk factor"	0.0792259
"eye disease"	0.0792049
"back pain"	0.0785071
contamination	0.0783321
seizure	0.0779468
affliction	0.0775896
nearsightedness	0.0774739
"chest pain"	0.077404
poisoning	0.077164
HIV	0.0768354
disruption	0.0761135
antibody	0.0760642
palpitation	0.0758808
diarrhoea	0.0758773
osteoarthritis	0.075474
insomnia	0.0753609
"malignant tumor"	0.0749243
heartburn	0.0747424
toxicity	0.0743313
deformation	0.0742247
"anxiety disorder"	0.0738464
irritation	0.0736773
strain	0.0734755
deterioration	0.0733074
variation	0.0730489
impotence	0.0727971
parasite	0.072356
fatigue	0.0716713
"respiratory disease"	0.0714823
heartbeat	0.0714154
"skin disease"	0.0713084
"neurological disease"	0.071222
cholesterol	0.0706717
ADHD	0.0705832
"food poisoning"	0.0705704
"personality disorder"	0.0704872
Gene	0.070479
hernia	0.0704477
irregularity	0.0703657
injury	0.0703336
stroke	0.0693922
transplantation	0.0692466
tissue	0.0682148
flu	0.0678016
pattern	0.0676381
rupture	0.0676291
fever	0.0675494
frostbite	0.0672644
breakdown	0.06715
pain	0.0671058
shortcoming	0.0670709
transplant	0.0670325
"muscular dystrophy"	0.0670294
tuberculosis	0.0668462
implant	0.0666457
nausea	0.0664416
"AIDS virus"	0.066207
Parkinson's	0.0656896
migraine	0.0654184
headache	0.0653383
slippage	0.0650985
weakness	0.0650831
bruise	0.0650482
glitch	0.0649644
corrosion	0.0649147
sickness	0.0649045
glaucoma	0.0648322
"panic attack"	0.0646423
polyp	0.0645002
encephalitis	0.0644204
rash	0.0643636
discrepancy	0.0642915
"lead poisoning"	0.0640839
als	0.0637229
hypothermia	0.0634355
contusion	0.0634266
enzyme	0.0631023
"hay fever"	0.063035
"writer's block"	0.0625571
stiffness	0.0623632
fibrillation	0.0621974
instability	0.0621791
outages	0.062091
"sore throat"	0.0619359
sprain	0.0618402
bacterium	0.0617221
discomfort	0.0613347
hiccup	0.0612693
handicap	0.0610994
))
(abolishment (desc 2523.95) (sims
abolition	0.237894
toppling	0.190857
scrapping	0.136696
repeal	0.12036
lowering	0.106939
imposition	0.106353
revocation	0.105385
abrogation	0.104236
elimination	0.100002
phase-out	0.0996829
reinstatement	0.0974441
nullification	0.0967304
loosening	0.0964004
phaseout	0.0913237
granting	0.0911441
reconsideration	0.0904995
forming	0.085824
promulgation	0.0845803
reexamination	0.083359
dismantling	0.0790142
broadening	0.0790131
harmonization	0.078066
annulment	0.0779355
renunciation	0.0763685
doubling	0.0757549
reintroduction	0.0747845
reorientation	0.0747044
lifting	0.0740988
relaxation	0.073627
rationalization	0.0717146
centralization	0.0716714
revamping	0.0713175
nationalization	0.0707292
reestablishment	0.069946
freeing	0.0698814
simplification	0.0686352
rethinking	0.0675783
re-opening	0.0666642
retooling	0.0665218
reallocation	0.0660201
uncovering	0.0650412
Constitutionality	0.0650277
strengthening	0.0640948
disbanding	0.0638894
reassessment	0.0629732
legalization	0.0620228
drafters	0.0619535
disbandment	0.0615816
easing	0.0602166
enactment	0.0601689
reactivation	0.0601428
"wage freeze"	0.0598887
rollback	0.0596903
decriminalization	0.0595365
setting-up	0.059437
rewriting	0.0590805
retention	0.0589906
breaking	0.058753
softening	0.0584788
lessening	0.0582958
Tightening	0.0575459
activation	0.0572168
reshuffling	0.0571184
Reauthorization	0.0571077
redefinition	0.0566335
deepening	0.0565744
reevaluation	0.0562738
drafting	0.055986
avoidance	0.0559698
commutation	0.0557304
politicization	0.0554506
continuance	0.0554354
lockdown	0.0551013
deferral	0.0544043
reopening	0.053425
closedown	0.0531822
issuance	0.052943
applicability	0.0529068
overhauling	0.0525639
"tax change"	0.0524596
shake-up	0.0520503
withholding	0.0517126
divestitures	0.0515168
decentralization	0.0510784
pumping	0.0506007
weakening	0.0502799
dissolution	0.0502754
labeling	0.0500304
"Revised Version"	0.0489696
harshness	0.0489229
diminution	0.048853
streamlining	0.0486562
modernizing	0.0485491
authorship	0.0484125
convening	0.0483266
liberalisation	0.0479092
reaffirmation	0.0471475
abdication	0.0470677
sending	0.0469893
legitimacy	0.0469438
fallibility	0.046794
institutionalization	0.0467251
"management shakeup"	0.0466872
licensing	0.0465602
finalization	0.0464225
pasteurization	0.0464198
reappraisal	0.0464056
arcana	0.0463115
rearrangement	0.0462275
denunciation	0.0462106
stayaway	0.0457589
"bank withdrawal"	0.0456687
possiblity	0.0446293
disinvestment	0.0446082
dredging	0.0444147
Balkanization	0.044363
termination	0.0439659
dollarization	0.0438911
validity	0.0438568
Demutualization	0.0438023
breaching	0.0437224
militarization	0.043496
legality	0.0434553
dropping	0.0434545
postponement	0.0433982
awarding	0.0433799
"Four Centuries"	0.0432794
storming	0.0430302
privatizations	0.0429629
"Section @@"	0.0429535
safeguarding	0.0427873
vestige	0.0427152
bringing	0.0426287
closings	0.0425446
precept	0.0424755
"tax increase"	0.0423804
negation	0.0423697
Cessation	0.0420899
de-escalation	0.041903
"Article @"	0.0417735
facilitation	0.041664
issuing	0.0415996
splittism	0.0415713
elaboration	0.041418
naming	0.041219
"tax hike"	0.0410524
expiration	0.0409872
materialization	0.0405125
popularization	0.0405083
"golden rule"	0.040489
renegotiation	0.0402923
downfall	0.0401327
))
(abolition (desc 14443) (sims
abolishment	0.237894
repeal	0.2105
elimination	0.19143
scrapping	0.185699
lifting	0.147709
imposition	0.142411
removal	0.12849
legalization	0.126823
dismantling	0.121483
reinstatement	0.118657
easing	0.116491
phaseout	0.114713
overhaul	0.114188
revocation	0.10885
Liberalization	0.103461
reduction	0.10244
restoration	0.0994771
relaxation	0.0994637
lowering	0.0988302
eradication	0.0985696
Cessation	0.0964168
loosening	0.0962255
revision	0.0954841
strengthening	0.0941765
granting	0.0932007
harmonization	0.0927725
cancellation	0.0920044
demilitarization	0.0914065
reform	0.09119
secession	0.0905348
adoption	0.0904271
deregulation	0.0893412
reintroduction	0.0889553
resumption	0.0887254
"free trade"	0.0875889
Implementation	0.0874167
enforcement	0.0860877
exemption	0.0855832
enactment	0.0850804
promulgation	0.0842619
Privatization	0.0827993
convening	0.0827229
withdrawal	0.0827117
unification	0.0821045
restructuring	0.0819361
stabilization	0.0806138
enlargement	0.0805191
establishment	0.0794901
renewal	0.0794476
toppling	0.079368
reconsideration	0.0793001
creation	0.0783949
prohibition	0.0774172
introduction	0.0772711
expansion	0.0771998
continuation	0.0768355
simplification	0.0760608
abrogation	0.0760202
ouster	0.0758137
doubling	0.0756518
termination	0.0754321
dissolution	0.0751837
"tax increase"	0.075011
pullout	0.0749534
democratization	0.0738717
retention	0.0736584
moratorium	0.07358
integration	0.0732946
extension	0.0732883
postponement	0.0724351
ratification	0.0722205
dollarization	0.0714677
rollback	0.0714394
inclusion	0.0712638
disarmament	0.0706208
reorganization	0.0699304
overthrow	0.0698493
renunciation	0.0696393
repatriation	0.069571
issuance	0.0695457
avoidance	0.0690408
"spending cut"	0.0690258
consolidation	0.06893
deployment	0.0688133
streamlining	0.0684909
banning	0.0684241
statehood	0.0683091
"gun control"	0.068132
reexamination	0.0680401
disbandment	0.0675256
Reauthorization	0.0674763
decentralization	0.0674413
nationalization	0.0671346
"tax cut"	0.0668031
preservation	0.066769
"name change"	0.06654
suffrage	0.0664808
closure	0.0663155
reunification	0.0662638
cease-fire	0.0660567
reconciliation	0.0657757
separation	0.0654416
waiver	0.0653851
annulment	0.065318
voucher	0.0651311
demise	0.0645903
modernization	0.0645321
formation	0.0644792
"policy change"	0.06444
annexation	0.0643309
raising	0.0642695
Non-Proliferation	0.0641836
Demutualization	0.0638699
reopening	0.0637875
amendment	0.0636809
accession	0.0634109
emancipation	0.0632972
acceptance	0.0632716
"Bill of Rights"	0.0631333
applicability	0.0631145
provision	0.062582
Constitutionality	0.0624631
rationalization	0.0622057
independence	0.0621929
Dismissal	0.0620277
"wage freeze"	0.0619623
weakening	0.0615968
self-determination	0.0615904
breakup	0.0611207
shutdown	0.0609807
phase-out	0.0602559
suspension	0.0601295
expiration	0.0598245
normalization	0.0597336
commutation	0.0595601
nonproliferation	0.059352
nullification	0.059317
realignment	0.0592745
cutback	0.0590775
decriminalization	0.0586404
modification	0.0584506
realization	0.0584224
regulation	0.0583111
"civil rights"	0.0581522
handover	0.0581358
Shays-Meehan	0.0580641
legislation	0.0580542
resignation	0.0579988
validity	0.0578324
Tightening	0.057637
equality	0.0575936
monitoring	0.0574257
boycott	0.0573938
depreciation	0.0572394
Proliferation	0.0571712
revamping	0.0570575
restriction	0.057053
"tax reduction"	0.056817
demobilization	0.0567889
Promotion	0.0567571
pardon	0.0566634
"trade bill"	0.0565357
liberation	0.0565328
censure	0.0565053
"land reform"	0.0564732
"trade policy"	0.0562892
stoppage	0.0562291
intervention	0.0561914
rejection	0.0560616
"budget cut"	0.0558604
rethinking	0.0558488
abandonment	0.0558061
redistribution	0.0557914
deferral	0.0557396
"wage increase"	0.0556244
mobilization	0.0554997
alleviation	0.0554135
improvement	0.0553824
quota	0.0553563
"death penalty"	0.0553531
incorporation	0.0553529
unity	0.0551324
availability	0.0550534
veto	0.054888
renegotiation	0.0548804
downsizing	0.0548642
"rate cut"	0.0548456
Openness	0.0548144
reshuffle	0.0548047
fairness	0.0547753
revitalization	0.0546999
reparation	0.0546778
cutoff	0.0544949
devolution	0.0544887
privatisation	0.0544157
destruction	0.0543836
adjustment	0.0541675
amnesty	0.0540306
liberalisation	0.0539939
legality	0.0539824
))
(abolitionist (desc 3750.02) (sims
"plantation owner"	0.079441
Islamist	0.0660009
anarchist	0.06543
pacifist	0.0638964
populist	0.0628504
"Frederick Douglass"	0.0625367
Asian-American	0.0608757
segregationist	0.0605297
clergyman	0.0599753
preservationist	0.0594422
environmentalist	0.0585743
monarchist	0.0571867
"Underground Railroad"	0.0568429
internationalist	0.056691
Libertarian	0.0565303
sharecropper	0.0564841
pragmatist	0.0554281
Sandinista	0.055363
supremacist	0.0553123
individualist	0.0549129
"Black Panther"	0.0546663
septuagenarian	0.0542561
lifer	0.0542056
foodies	0.0540998
nobleman	0.0538844
"New Democrat"	0.0538643
secularist	0.0537501
Zapatista	0.0532041
feminist	0.0531047
Marxist	0.0525522
preservationists	0.0517475
Confederate	0.0517418
campaigner	0.0516837
educator	0.0516664
isolationist	0.0514382
"African American"	0.0513534
experimenter	0.051231
"Southern Democrats"	0.0511047
servant	0.050916
criminologists	0.0507947
"newspaper publisher"	0.0505709
Methodist	0.0504595
Arab-American	0.0501478
Italian-Americans	0.0499998
"disk jockey"	0.0499897
colorist	0.0498673
"enlisted man"	0.0494129
Hasidic	0.0493343
Garang	0.049174
"civil rights leader"	0.0488045
neo-Nazi	0.0487934
"social worker"	0.0487863
FEDERALIST	0.0487324
fundamentalist	0.0487164
philanthropist	0.0482038
Mormon	0.0481343
psychoanalyst	0.0481261
"Promise Keepers"	0.0480735
Chinese-American	0.0480263
Litigator	0.0478688
hippie	0.0478658
Irish-American	0.0477727
preacher	0.0477447
gadfly	0.0476961
anthropologist	0.0476006
newspaperman	0.0475772
skeptic	0.0472467
"Islamic Jihad"	0.0472112
evangelist	0.0471416
conservationist	0.0467883
crusader	0.046213
"American Jewish"	0.0458617
traditionalist	0.0457194
leftist	0.0455462
atheist	0.0455122
"Orthodox Jewish"	0.0454276
"big leaguer"	0.0453982
homemaker	0.045255
schoolteacher	0.0449861
"Sephardic Jews"	0.0448482
doer	0.0445394
goal-scorer	0.0444974
"eye doctor"	0.0442456
"white supremacy"	0.0440717
vaulter	0.0440104
interloper	0.0439917
theologian	0.0438468
Sinhala	0.043647
kibbutz	0.0435637
"business executive"	0.0433055
brawler	0.043223
Cuban-American	0.0431941
keynote	0.0431746
pacifism	0.0431056
immortal	0.0428498
"Louis XIV"	0.0428482
enthusiast	0.0427979
"hired gun"	0.0427793
"electrical engineer"	0.0427791
agitator	0.0426692
"lieutenant general"	0.0426644
pedophile	0.0426131
"art historian"	0.0424621
electioneering	0.0424584
rightward	0.042226
ballplayer	0.0421508
"church member"	0.0421195
missionary	0.0420055
dealmaker	0.0419747
surrealist	0.0419107
potter	0.0419059
naturalist	0.0418063
"civic leader"	0.0417856
capitalist	0.0416552
polemic	0.0416369
Baptist	0.0416015
"foster parent"	0.0415656
Appalachian	0.0415317
Baptists	0.0415259
"newspaper editor"	0.0414913
Italian-American	0.0414833
"Asian American"	0.0414795
revivalist	0.0411587
"Sherlock Holmes"	0.0411477
philosopher	0.0410916
"elected official"	0.0408579
"insurance broker"	0.0407449
optimist	0.0405599
Amal	0.0405427
landowner	0.0403768
"Richard Blumenthal"	0.040366
"Southern Baptist"	0.0403371
sorority	0.0402868
horseman	0.0400216
Fatah	0.0400101
))
(abomination (desc 3019.09) (sims
copout	0.074224
travesty	0.0736319
"law of the land"	0.0672461
heresy	0.0599264
affront	0.0588946
"numbers game"	0.0563889
stinker	0.0562096
"clean slate"	0.0545004
"Achilles' heel"	0.0524737
"object lesson"	0.0521634
fluke	0.0521508
invalid	0.0514996
"high treason"	0.0512443
disgrace	0.050726
aberration	0.0489287
"death tax"	0.0481051
"house of cards"	0.0476156
bigot	0.0475605
Allegory	0.047556
"triple play"	0.0469672
inhumanity	0.0468488
corrective	0.0467177
emulator	0.0461274
accoutrement	0.0457906
distortion	0.0455256
eye-opening	0.0454352
"foregone conclusion"	0.045212
sham	0.0450906
monstrosity	0.0448214
abdication	0.0440674
overreaction	0.0434876
laughingstock	0.0432718
blasphemy	0.0432699
yours	0.0431336
barbarity	0.0430926
nonsense	0.0430909
"trial and error"	0.0428259
"fait accompli"	0.0426647
eyesore	0.0426572
"stumbling block"	0.0426394
manifestation	0.0425848
first-rounder	0.0423991
apotheosis	0.0422501
"warning signal"	0.042183
"act of God"	0.0415329
impossibility	0.0413597
"work in progress"	0.0413348
taboo	0.04072
marvel	0.0407166
mommy	0.0400226
))
(Aboriginal (desc 3102.53) (sims
Aborigine	0.121287
Hawaiians	0.0894952
"New Zealander"	0.0819458
Malay	0.076267
"black person"	0.0728072
"Cathy Freeman"	0.0702154
Tibetans	0.0648769
"first pitcher"	0.0632908
Nepalese	0.0618723
Filipino	0.0604017
Eskimo	0.0593239
cricketer	0.0589873
"American Indian"	0.056796
cager	0.0567414
"white flag"	0.0564801
"housing industry"	0.0561062
"one hundred"	0.0554349
ensign	0.0547055
"major-league team"	0.0542942
"Emma George"	0.0541492
colonist	0.0541023
Chinese-Americans	0.0532579
Ethiopian	0.0531619
Fijian	0.0529519
dimple	0.0518478
"Kieren Perkins"	0.0515872
Kurds	0.0508732
"Grant Hackett"	0.0499982
Koreans	0.0493787
"governor general"	0.0493738
"Elvis Stojko"	0.0492224
"national flag"	0.0491211
neo-Nazis	0.0482543
"AIDS patient"	0.0477028
Peruvian	0.0472025
Mexican-Americans	0.0471903
"Karrie Webb"	0.0465703
laid-offs	0.0462926
Ghanaians	0.0461559
"native American"	0.0461073
VFA	0.0460458
Maori	0.0459865
Copt	0.0458093
lesbian	0.0451986
Englishman	0.0447822
"tribal chief"	0.0447544
Japanese-Americans	0.0444343
"special economic zone"	0.0441297
Tibetan	0.0439816
coho	0.0437405
"minority shareholder"	0.0437156
"Christopher Columbus"	0.0437045
urbanites	0.0435999
overlong	0.0434942
"Earth Day"	0.0433928
Inuit	0.0431882
"white person"	0.0430765
planeload	0.043011
Laotian	0.0426913
"fertility rate"	0.0426373
"coal miner"	0.0426117
"Israeli Arabs"	0.0426057
"Mark Bosnich"	0.0424723
"university student"	0.0422138
rower	0.0420458
"first school"	0.0420438
"Canadian province"	0.0420277
Swede	0.0419388
"Pat Rafter"	0.0419302
"dock worker"	0.0414126
"Ethnic Albanians"	0.0413745
"major leaguer"	0.0413186
"Jean Chretien"	0.0413084
"Nation Party"	0.0412402
"fatal accident"	0.040997
"mental disorder"	0.0407655
Oriole	0.0407601
illegals	0.0406749
"elephant population"	0.0406089
Neanderthal	0.0405695
Hmong	0.0404726
"British people"	0.0404553
marcher	0.040403
Asian-American	0.0402352
Qantas	0.0400588
))
(Aborigine (desc 10130.5) (sims
Aboriginal	0.121287
"native American"	0.0969997
Hawaiians	0.0948141
"American Indian"	0.0833611
Filipino	0.0813187
Tibetans	0.0809336
Hispanic	0.080022
Asian-Americans	0.0796213
Taiwanese	0.0787613
Kurds	0.078251
"New Zealander"	0.0769649
Gypsy	0.0764624
Latino	0.0763537
African-American	0.0754016
Cuban-Americans	0.0737793
"Stuart O'Grady"	0.0734065
"Puerto Rican"	0.0729773
Jew	0.0724095
immigrant	0.072367
"farm worker"	0.0714463
Koreans	0.0709026
Asian-American	0.0706371
minority	0.070181
landowner	0.0689066
Indian	0.0680881
low-income	0.0679046
Fijian	0.0677024
centenarian	0.067612
Catholic	0.0671342
christian	0.0670533
African	0.0670146
Inuit	0.0656166
miner	0.065554
"minority shareholder"	0.064853
pensioner	0.064686
Haitian	0.0646303
Maori	0.064375
Gay	0.0635236
retiree	0.0635221
"African American"	0.0634558
Italian-Americans	0.0629993
Turk	0.0620209
settler	0.0618
detainee	0.0612799
Tamil	0.0610758
Malay	0.0610742
"union member"	0.0607734
Ohioan	0.0602951
picketers	0.0602265
Mexican	0.0600517
Cuban	0.0597668
Kuwaiti	0.0596935
"AIDS patient"	0.059239
"church member"	0.0590239
Londoner	0.0587297
tribe	0.058633
Fishermen	0.0585626
Cambodian	0.0585063
"African Americans"	0.058451
Muslim	0.0579439
peasant	0.0579119
"small farmer"	0.057762
"senior citizen"	0.0576475
"Orthodox Jews"	0.0573339
Amish	0.0573251
preservationists	0.0571729
Arab	0.0571332
orphan	0.0571131
protestor	0.0569359
Mozambican	0.0567959
demonstrator	0.0567879
"black woman"	0.0566877
"temporary worker"	0.0566002
Eskimo	0.05651
inmate	0.056335
"Kosovar Albanians"	0.0563276
claimant	0.0557799
Asian	0.055726
activist	0.0556232
environmentalist	0.0554717
Navajos	0.0552187
Ethiopian	0.0550523
"people of color"	0.0550164
recipient	0.054999
Australian	0.0549524
"foster child"	0.0549514
homosexual	0.0549204
Malaysian	0.054904
Briton	0.0547605
"Asian Americans"	0.0546215
Chinese-Americans	0.0545744
Moroccan	0.0543593
"Karrie Webb"	0.0543588
Californian	0.054325
Copt	0.0540476
Angolan	0.0539793
migrant	0.0539152
"South African"	0.053891
Vietnamese	0.0538605
"drug addict"	0.0538021
Acadian	0.053758
"faculty member"	0.0537082
villager	0.0534732
Indonesian	0.0533929
"South Koreans"	0.0531105
Serbs	0.052827
Kurdish	0.0527351
Southerner	0.052674
clergy	0.0526393
"Grant Hackett"	0.052499
protester	0.0523782
squatter	0.0523187
policyholder	0.0522515
sufferer	0.0522201
rancher	0.051838
Pakistani	0.0518339
"working class"	0.051804
laborer	0.0517032
Irishmen	0.0516851
dropout	0.0516037
Afghan	0.0515911
Iraqi	0.051429
"Cathy Freeman"	0.051386
reservist	0.0513753
"East Timorese"	0.0513154
addict	0.0511664
parishioner	0.0510253
"Kosovo Albanians"	0.0509811
expatriate	0.0509719
needy	0.0509588
Beijingers	0.0508793
Brazilian	0.0508743
foreigner	0.0508557
"religious leader"	0.050845
plaintiff	0.0507159
"Cuban Americans"	0.0506758
adoptees	0.0506531
Romanian	0.0506265
Zimbabwean	0.0506093
Tutsi	0.0504166
grower	0.0503884
dissenter	0.0503314
educator	0.050294
Singaporean	0.050225
Honduran	0.0501288
Atlantans	0.0500242
"business community"	0.0500209
unionist	0.0499492
Chilean	0.0498182
"university student"	0.0497638
smoker	0.0497631
elderly	0.0497565
"Roman Catholic"	0.0497021
Georgian	0.0494831
"Israeli Arabs"	0.0493877
Iowan	0.0493795
"college student"	0.0493224
achiever	0.0492932
"union worker"	0.0491915
Iranian	0.049172
neo-Nazis	0.0489777
"political leader"	0.0489731
dissident	0.0488243
intellectual	0.0487527
businesspeople	0.0487024
stowaway	0.0485583
filmmakers	0.0483307
Swede	0.0483021
"middle class"	0.0481086
"Sephardic Jews"	0.0480921
Industrialist	0.048089
homeowner	0.0480196
Floridian	0.048005
Washingtonian	0.0480033
"labor leader"	0.0479571
Kosovars	0.0479367
seeker	0.0477735
nomad	0.0477531
Alumni	0.0477509
Bulgarian	0.0477507
Afrikaner	0.0477172
"drug user"	0.0477008
"North Koreans"	0.0476403
"labor union"	0.047578
disabled	0.047578
Serbians	0.047539
Frenchmen	0.0474814
Thai	0.0474435
"elected official"	0.0473588
Kashmiris	0.0472294
Hindu	0.0471156
"Kosovar Albanian"	0.04709
Colombian	0.04702
schoolchildren	0.0469849
"black person"	0.0469628
Protestant	0.0469523
Chechens	0.0469484
urbanites	0.0469247
Texan	0.0469011
lesbian	0.0468975
))
(abortion (desc 74506.6) (sims
"gun control"	0.178534
"death penalty"	0.156089
homosexuality	0.149846
"health care"	0.144409
"capital punishment"	0.13892
euthanasia	0.13828
"birth control"	0.134308
Contraception	0.133675
immigration	0.129182
education	0.123414
voucher	0.121933
suicide	0.118522
marriage	0.113738
gambling	0.111324
smoking	0.110121
procedure	0.107276
"tax cut"	0.106967
pregnancy	0.10461
crime	0.104487
sex	0.104345
impeachment	0.104079
issue	0.104041
"family planning"	0.103894
"social security"	0.103057
tax	0.0998655
discrimination	0.0997855
reform	0.0966961
prostitution	0.0947803
action	0.0941135
policy	0.0939669
divorce	0.0935179
drug	0.0922784
treatment	0.0921602
violence	0.0908278
adoption	0.08867
"abortion issue"	0.0882368
racism	0.0872955
legislation	0.0866839
"drug use"	0.0865766
sterilization	0.0864009
right	0.086156
testing	0.0861261
tobacco	0.086074
care	0.0853754
aid	0.0850588
slavery	0.0843798
terrorism	0.0835998
gun	0.0830974
"drug abuse"	0.0828254
"human right"	0.0827976
labor	0.082793
miscarriage	0.0827224
"prescription drug"	0.0819737
pornography	0.0817528
contraceptive	0.0816097
"civil rights"	0.0814171
law	0.0791597
surgery	0.078012
health	0.0777344
"foreign policy"	0.077672
cancer	0.0776484
rape	0.0776349
"health insurance"	0.0776348
therapy	0.0774927
religion	0.0774758
expansion	0.0770807
abuse	0.0768798
spending	0.0765026
employment	0.0760922
ordination	0.0758016
funding	0.0755526
amendment	0.0754983
"human rights"	0.0754157
circumcision	0.07536
"minimum wage"	0.0750875
intervention	0.075081
trade	0.0750318
Gay	0.0747597
birth	0.0744051
counseling	0.0743829
matter	0.0743154
"free trade"	0.0742873
access	0.073989
activity	0.0734613
removal	0.0732377
alcohol	0.0727923
drinking	0.0726515
sampling	0.07254
transplant	0.0725196
behavior	0.0723784
sanction	0.0723739
bill	0.0721493
transfer	0.0716273
Execution	0.0715414
environment	0.0715148
deployment	0.071513
Death	0.0713406
"Bill of Rights"	0.0711219
censure	0.0711015
"medical care"	0.0711008
poverty	0.0710091
practice	0.0708614
adultery	0.0708586
medicare	0.0706687
welfare	0.0705691
case	0.0705411
Privatization	0.0704628
seizure	0.0704177
protection	0.0703403
proposal	0.0700967
politics	0.0692435
affair	0.0691275
ownership	0.0689794
measure	0.0688839
corruption	0.0688414
initiative	0.0687801
firearm	0.0684545
prayer	0.0683811
torture	0.0677559
status	0.0676013
Advertising	0.0675666
war	0.0674322
"child care"	0.0673141
ban	0.0671136
logging	0.0669993
money	0.0666851
taxation	0.066462
financing	0.0664144
freedom	0.0661785
"military action"	0.0660209
program	0.0659121
separation	0.0656765
"child abuse"	0.0656248
problem	0.0656195
"heart disease"	0.0655593
subsidy	0.0655353
withdrawal	0.0648076
Treaty	0.0646218
operation	0.0646194
segregation	0.0642652
"sexual harassment"	0.0641003
schooling	0.0637771
"Proposition @@@"	0.0635686
murder	0.0635249
choice	0.0634298
infection	0.0633241
distribution	0.0630839
registration	0.0630811
development	0.0629595
Housing	0.0629445
test	0.0629262
illness	0.0628126
restriction	0.0628081
Privacy	0.0627597
statehood	0.0626666
decision	0.0624932
enlargement	0.0624912
handgun	0.0624775
disease	0.0624475
participation	0.0623997
pill	0.0622919
donation	0.0622646
"Falun Gong"	0.0620314
hunting	0.0618375
Defense	0.0616676
finance	0.061535
research	0.0614473
enforcement	0.0613785
security	0.0612502
morality	0.0611337
marijuana	0.0609279
disability	0.0609094
Proliferation	0.0608794
payment	0.0608292
provision	0.0607707
census	0.060688
campaign	0.0604589
child	0.0604061
subject	0.0603788
"nuclear weapon"	0.0603221
benefit	0.0602909
diabetes	0.060257
regulation	0.0602189
HMO	0.060152
relationship	0.0600354
lawsuit	0.0600013
appointment	0.059682
"lung cancer"	0.0596371
"higher education"	0.0595797
extradition	0.059501
litigation	0.0594693
process	0.0594381
punishment	0.059434
situation	0.059434
"land reform"	0.0593848
tactic	0.0592415
"substance abuse"	0.0591082
question	0.0591028
HIV/AIDS	0.0589482
globalization	0.0588294
))
("abortion clinic" (desc 10387.4) (sims
clinic	0.132358
"Centennial Olympic Park"	0.128121
"U.S. Embassy"	0.126903
"World Trade Center"	0.0971786
"Olympic Park"	0.096548
embassy	0.0904491
discotheque	0.0901257
"US Embassy"	0.0893337
"post office"	0.085378
"Planet Hollywood"	0.0831403
"police station"	0.082269
consulate	0.0812246
"day care center"	0.0802506
"apartment building"	0.0790973
"nursing home"	0.0776908
"community center"	0.0774713
synagogue	0.0772071
"oil refinery"	0.076861
"office building"	0.0768556
"shopping mall"	0.0741186
"military installation"	0.0730161
nightclub	0.072424
"gas station"	0.0703658
depot	0.0702561
"TV station"	0.0688761
"funeral home"	0.0680534
"liquor store"	0.0678096
sawmill	0.0677318
"repair shop"	0.0669557
"railway station"	0.0669306
refinery	0.0669245
"art gallery"	0.0666357
"radio station"	0.0665041
"city hall"	0.066342
mosque	0.0661709
"machine shop"	0.0656705
"convenience store"	0.0648439
"shopping center"	0.0646321
courthouse	0.0643603
disco	0.0638371
"bus terminal"	0.0636298
"Columbine High School"	0.0635402
"grocery store"	0.0633563
"jewelry store"	0.0631695
"service station"	0.063101
"television station"	0.0629234
brothel	0.0620215
"medical center"	0.0619182
Warehouse	0.0619151
Pharmacy	0.0615044
"polling station"	0.0611625
tavern	0.0610406
drugstore	0.0607985
"shoe store"	0.0606874
"clothing store"	0.0603361
"Christian church"	0.0601525
"James Andrews"	0.060146
dealerships	0.0596304
pub	0.0595237
"subway station"	0.0594787
"elementary school"	0.0590719
"Kent State"	0.0585692
"bus station"	0.058485
"movie theater"	0.0579801
"power station"	0.0574904
Omagh	0.0574516
"beauty salon"	0.0570314
zoo	0.0569471
supermarket	0.0568787
eateries	0.0567817
Casino	0.0567053
bookstore	0.0566682
"emergency room"	0.0565951
parlor	0.0563839
"hardware store"	0.0562114
hospice	0.0561618
cafe	0.0561496
"fire station"	0.0559676
"psychiatric hospital"	0.0555704
"army base"	0.0554124
orphanage	0.055399
"Eric Robert Rudolph"	0.0550887
dormitory	0.0547302
substation	0.0547132
"military post"	0.0546576
barrack	0.0546189
"police department"	0.0546122
"dance hall"	0.0544839
"United States Embassy"	0.054398
"employment agency"	0.0543549
"American plane"	0.0539804
"department store"	0.0538477
"manufacturing plant"	0.0537066
slaughterhouse	0.0537064
"North Valley Jewish Community Center"	0.0534364
"Chinese Embassy"	0.0532802
"public school"	0.0528498
"diplomatic mission"	0.0524829
"head office"	0.0521969
"oil pipeline"	0.052166
"Pearl Harbor"	0.0521382
"school district"	0.0521078
"place of worship"	0.0519549
gynecologist	0.0518883
"military position"	0.0518861
bakery	0.0516648
"recording studio"	0.0516344
"steel mill"	0.0513988
"military hospital"	0.0513659
incinerator	0.0511163
"gasoline station"	0.0502768
airfield	0.0501465
"educational institution"	0.0500914
morgue	0.0499151
"polling place"	0.049858
"Israeli Embassy"	0.0496516
mall	0.0495925
shipyard	0.0494972
"Pan Am Flight @@@"	0.0492829
"power plant"	0.049234
"coffee shop"	0.0489597
intersection	0.0488834
"travel agency"	0.0488091
deli	0.0487845
lab	0.0487633
"school system"	0.048412
HMO	0.0481067
cafeteria	0.0479938
"Heritage High School"	0.0479022
"police headquarters"	0.0478782
"bus stop"	0.0478323
coffeehouse	0.0478268
"advertising agency"	0.0477946
chiropractor	0.0477061
"printing press"	0.0476737
whistleblowers	0.0475662
pizzeria	0.0475197
armory	0.04749
brewery	0.0472986
"Pan Am"	0.0472682
Birmingham	0.0471595
"Catholic school"	0.0471558
gym	0.0471191
"Wedgwood Baptist Church"	0.0465332
"branch office"	0.0464549
"train station"	0.0464035
"apartment house"	0.0463926
"cable system"	0.046303
"Beth Israel"	0.0461323
"computer store"	0.0460435
foundry	0.0457708
cemetery	0.0457707
MCDONALD's	0.045753
"state prison"	0.0457324
mill	0.0454367
"technical school"	0.0453356
"child welfare agency"	0.0453244
"medical specialist"	0.0453243
"Better Business Bureau"	0.0452773
"language school"	0.0449861
"automated teller machine"	0.0449173
garage	0.0448663
"amusement park"	0.0447703
"toy store"	0.0440902
"Rainbow Room"	0.0439976
"insurance company"	0.0439381
"health maintenance organization"	0.0439291
"tea house"	0.0438944
"mental hospital"	0.0436251
"property owner"	0.0435291
hostel	0.0435234
dealership	0.0435165
"Oklahoma City"	0.043248
Columbine	0.0432052
railroad	0.0431166
"law practice"	0.0430502
"private school"	0.0429456
subway	0.0428356
"health care provider"	0.0427817
obstetrician	0.042759
"field hospital"	0.0426745
"Medicare HMO"	0.0426169
"trucking company"	0.0424215
"police lieutenant"	0.0424197
Capitol	0.0424108
"middle school"	0.0423828
bureaus	0.0423783
"paper mill"	0.0423428
"bowling alley"	0.0422186
Hiroshima	0.0419732
nursery	0.0419728
"police precinct"	0.0419502
Nagasaki	0.0418745
arcade	0.0418445
sweatshop	0.0417832
outpost	0.0417221
hangar	0.0416872
"church service"	0.0413444
"vocational school"	0.0412847
dietitian	0.0412698
))
("abortion issue" (desc 3433.83) (sims
abortion	0.0882368
"trade issue"	0.0842042
JLG	0.0587444
"gun control"	0.0563193
heatwave	0.0537805
"debt problem"	0.0535952
"debt issue"	0.0530666
"bankruptcy case"	0.0521482
"Confederate flag"	0.0497476
"abortion law"	0.0495064
"Reagan Democrats"	0.0491968
"moral hazard"	0.0491583
"accounting problem"	0.0488599
"trade bill"	0.0467338
possiblity	0.0431617
"Demilitarized Zone"	0.0430525
Sino-British	0.0423547
Charest	0.041583
"fault line"	0.0413123
"Comprehensive Test Ban Treaty"	0.0409792
homosexuality	0.0409463
"earnings disappointment"	0.0409266
Mohajerani	0.0404559
vote-getters	0.0402624
fibroids	0.0402291
"custody case"	0.0400554
"Sino-British Joint Liaison Group"	0.0400505
"iron curtain"	0.0400419
))
("abortion law" (desc 2344.09) (sims
"penal code"	0.117068
"bankruptcy law"	0.115756
"Proposition @@"	0.105929
Ordinance	0.105384
"Department of Motor Vehicles"	0.103388
statute	0.101879
"building code"	0.0978536
"trade policy"	0.0903571
"Proposition @"	0.0895058
"ABM Treaty"	0.0883878
"electoral system"	0.0876406
"Clean Air Act"	0.0849198
"Civil Rights Act"	0.0845238
"tax system"	0.0842614
bylaw	0.0837031
"Public Service Commission"	0.0812724
"Anti-Ballistic Missile Treaty"	0.0791444
"voting system"	0.0773934
"tax change"	0.0727681
"Proposition @@@"	0.0726401
prohibition	0.0694846
"election district"	0.0686661
"criminal law"	0.0683144
"antitrust law"	0.0665995
"Helms-Burton Act"	0.0665851
"quota system"	0.06325
"labor contract"	0.0620081
"safety standard"	0.0617211
zoning	0.0610725
"Department of Environmental Protection"	0.060869
"gasoline tax"	0.0607438
"investment climate"	0.0593657
"legal code"	0.0590139
"Medicare HMO"	0.0585762
"political system"	0.0584357
"economic system"	0.0582624
"monetary system"	0.0578155
"bank holding company"	0.0574989
"power structure"	0.0567879
wording	0.0567392
"Culture Ministry"	0.0564867
Shays-Meehan	0.0563403
"Voting Rights Act"	0.0561264
"Bill of Rights"	0.0558475
secularism	0.0555471
"life style"	0.0553286
Fermilab	0.0551861
"social system"	0.0551578
"insurance market"	0.0550449
"cash crunch"	0.0548081
moratorium	0.054722
officeholder	0.0546407
"benefit program"	0.0546172
"congressional district"	0.0543785
"health maintenance organization"	0.0542301
"Clean Water Act"	0.053946
"U.S. Constitution"	0.0538976
penitentiary	0.0538811
"Telecommunications Act"	0.0534449
"law of the land"	0.0534267
"Strategic Petroleum Reserve"	0.0532701
"organic law"	0.0530054
"savings bank"	0.0527844
"Balanced Budget Act"	0.052212
covenant	0.0520561
"appellate court"	0.0520276
ERISA	0.051952
"trade embargo"	0.0518626
"poison pill"	0.0515567
"highway system"	0.0512002
"open primary"	0.0508972
"Internal Security Act"	0.050896
"U.N. Resolution @@@"	0.0504841
"Maastricht Treaty"	0.0501698
"scoring system"	0.0499697
ABM	0.0498048
"pricing system"	0.0496622
"abortion issue"	0.0495064
"business cycle"	0.0489594
"employment contract"	0.0488672
joining	0.0487788
"power company"	0.0487485
"Department of Corrections"	0.0485056
"music school"	0.0482596
"social contract"	0.048111
"entitlement program"	0.0481056
"work camp"	0.0478613
"electric company"	0.0475909
precept	0.0475312
"mental hospital"	0.0474995
"test data"	0.0474146
"trade bill"	0.0473739
"management style"	0.0467215
"bond rating"	0.0465213
"primary election"	0.0464835
"Criminal Procedure Law"	0.0462967
"Board of Elections"	0.0462701
"death tax"	0.0461146
lockbox	0.0459179
"name change"	0.0459054
"Board of Supervisors"	0.0458565
"code of conduct"	0.0457862
Sharia	0.0457536
"electric chair"	0.0456806
shipbuilder	0.0456673
"transportation system"	0.0456306
polluters	0.0455199
"European Union's"	0.0452467
spammers	0.0452412
"poverty rate"	0.0451938
"distribution system"	0.0449554
"compromise plan"	0.0449481
"production ceiling"	0.04455
"Medicare HMOs"	0.0445408
"preparatory school"	0.0445059
macro-control	0.0443612
"draft board"	0.0441966
"financial condition"	0.0441243
neutrality	0.0440411
"trade barrier"	0.0438824
"labor movement"	0.0437626
"finding of fact"	0.0437432
"economic condition"	0.0437261
"power system"	0.0434518
"Endangered Species Act"	0.0433743
Measures	0.0431747
"racial segregation"	0.0431458
playlists	0.0428372
"fishing license"	0.0427815
"capital account"	0.0427222
"dairy farmer"	0.0426611
jurist	0.0426429
"labor agreement"	0.0426282
criminalization	0.0423994
"gas price"	0.0422935
caseload	0.04229
"speed limit"	0.0422073
licensing	0.0421091
"medical practice"	0.0419815
PNTR	0.0419414
proclamation	0.0418141
"tax collector"	0.0417626
NAFTA	0.0417176
"life insurer"	0.041563
"Department of Environmental Conservation"	0.0415317
inhibition	0.041504
"land reform"	0.0413409
breadbasket	0.0412168
"price control"	0.0409658
"Agenda @@@@"	0.0409198
"current system"	0.0409051
"safety measure"	0.040735
legalization	0.0406024
"tax policy"	0.0405478
"regulatory agency"	0.040499
"banking industry"	0.0404208
Zionist	0.0403814
"railway system"	0.0403114
hypotheses	0.0402393
pick-and-roll	0.0401978
"elephant population"	0.0400879
))
(Abortion-rights (desc 1122.17) (sims
pro-business	0.172109
hard-line	0.155786
hardline	0.147327
"Orthodox Jewish"	0.138821
Arab-American	0.13745
hawkish	0.128684
Shays-Meehan	0.127491
Islamist	0.122135
"American Jewish"	0.117177
pro-western	0.115404
"Shiite Muslim"	0.114422
Cuban-American	0.11363
dovish	0.111765
"flag waving"	0.111733
"civil rights"	0.104025
Hagelin	0.102941
pro-British	0.100405
"Kosovo Albanian"	0.0984141
"Republican Senate"	0.0969134
one-China	0.0959073
"Islamic Jihad"	0.0951496
"civil liberty"	0.0948382
"Sunni Muslim"	0.0936718
diehard	0.0903784
"Around @@@"	0.0877642
ragtag	0.0867497
Fatah	0.0864175
MQM	0.0853734
Zapatista	0.0851903
ultranationalist	0.0847747
MDC	0.0847116
Kashmiri	0.0830142
"opposition party"	0.0828637
CUF	0.0803286
non-Indian	0.0791935
"natural law"	0.0784587
"right to life"	0.0782865
Fulani	0.0781016
pro-life	0.0780809
pan-Arab	0.0777088
"U.S. Senate"	0.0776928
UDM	0.0766683
nonconference	0.0754295
Sunni	0.0751889
"Democratic Revolution"	0.0751726
"National Action"	0.074996
"Greek Cypriot"	0.074813
Hands-off	0.0747613
"Around @@"	0.0744025
Libertarian	0.07435
grassroot	0.0738953
Klan	0.0734547
pro-Islamic	0.072983
"Christian Democrat"	0.0728318
mujahedeen	0.0723132
"Proposition @"	0.0717589
Aristide	0.071582
Kurdish	0.0711912
MacDonald's	0.0708563
Asian-American	0.0696232
Hasidic	0.0693228
Zajedno	0.06927
Hoffa	0.0685436
Ijaw	0.067564
"Second Amendment"	0.0672251
Arias	0.0672057
gadfly	0.0670847
neo-Nazi	0.0666293
Sandinista	0.0665534
legalization	0.0664188
Irish-American	0.0663913
FORD-Kenya	0.0661237
"Green Party"	0.0659145
FN	0.065464
pan-African	0.0646852
soon-to-be	0.0645194
PAOK	0.0640683
"roughly @@@"	0.0634831
Shiite	0.0630551
"Two hundred"	0.0628566
UDF	0.0626513
"National Front"	0.06233
Megret	0.0614406
Kanu	0.0611775
Greenpeace	0.0610069
Renamo	0.0609442
non-Hispanic	0.0604562
protectionist	0.0601325
"Taiwan Independence"	0.0596869
Downstate	0.0588852
over-@@	0.0588719
squatting	0.0584034
Kurd	0.0581459
BLUETOOTH	0.0581318
Italian-American	0.0580234
UNP	0.0578212
Madrazo	0.0575328
PDP	0.0569976
"up to @@,@@@"	0.0569561
Northland	0.0567079
Latina	0.0565568
small-business	0.05645
Otpor	0.0561549
"direct action"	0.0561051
"Aryan Nations"	0.0559225
UFW	0.0559178
slain	0.055665
Inkatha	0.0553966
"Irish Catholic"	0.0553572
WOODWARD's	0.0552102
ratepayer	0.0550832
PETA	0.0549598
"May Day"	0.0544855
take-no-prisoners	0.0544268
monarchist	0.054057
Golkar	0.053703
Croat	0.0535979
"home rule"	0.053551
Scientology	0.0525238
NAFTA	0.0522434
royalist	0.0521221
Thirty-eight	0.0520982
fallback	0.0520771
vigilante	0.0520666
"Another eight"	0.0519687
HDZ	0.0517042
"Abu Nidal"	0.0515389
Hutu	0.0513535
ALEXANDER's	0.0512506
"Division I-AA"	0.0509186
PDI	0.050883
"Independence Party"	0.0507388
euthanasia	0.0505857
"Asian American"	0.0505054
Contra	0.0499854
"laissez faire"	0.0496437
"Nationalist Party"	0.0496221
KPFA	0.0495982
Marxist	0.0494748
outspent	0.04944
"Ku Klux Klan"	0.0492777
center-right	0.0490493
"up to @,@@@"	0.0490302
"white supremacy"	0.0485694
KKK	0.0482071
"Promise Keepers"	0.048207
Meretz	0.0481175
"Three hundred"	0.0479353
FALN	0.0476122
mem	0.047416
hardcore	0.0473535
ZANU	0.0473239
"state government"	0.0467949
O'Donnell's	0.046752
Sephardic	0.0466738
"Bosnian Croat"	0.046549
l@	0.046128
Jihad	0.0461263
"alternative medicine"	0.046066
PCF	0.0459971
PBA	0.045974
"Kosovar Albanian"	0.0457461
Ammiano	0.0456475
NDP	0.0449496
"blue blood"	0.0448253
lockbox	0.0447089
nonwhite	0.0445845
"South Vietnamese"	0.0442143
"New Party"	0.0442025
Timorese	0.0439927
Forty-two	0.043992
Elf-Aquitaine	0.0439796
Maoist	0.0439285
"Real IRA"	0.0439279
RPR	0.0438141
"standing room"	0.043761
"Social Democratic"	0.0437147
arming	0.0431923
"picture postcard"	0.0431803
curbside	0.0428847
Echols	0.0428144
Poplasen	0.042722
"Ulster Unionist"	0.0427029
EOHR	0.0425873
"civil defense"	0.0425026
Abu-Jamal	0.0422974
"Black Panther"	0.042092
BASQUE	0.0418653
ultra-Orthodox	0.0418429
NP	0.0417068
KDP	0.0416969
YankeeNets	0.0414558
Falun	0.0414304
cappella	0.0413797
FEDERALIST	0.0412279
Meciar	0.0405976
contrarian	0.0405656
basij	0.0404086
veep	0.0402991
MENT	0.0402964
))
(abortionist (desc 1029.58) (sims
"black person"	0.0883581
speakeasy	0.0872054
"air force officer"	0.0843086
adulterer	0.0737878
parolee	0.0734323
Julius	0.0714612
"police captain"	0.0685846
"Cheng Kejie"	0.0658117
"murder suspect"	0.0654651
"Jehovah's Witnesses"	0.0642785
pornographer	0.063744
"Orthodox Jew"	0.0586412
Hofer	0.0584696
snakehead	0.058326
"Karla Faye Tucker"	0.0549538
Faulder	0.0548772
"birth parent"	0.0548332
Carneal	0.054116
Barrionuevo	0.0536959
"house painter"	0.0536085
ballgames	0.0532152
Almighty	0.0530034
provocateurs	0.0529474
Imelda	0.0528583
"gambling casino"	0.0526441
Zionism	0.0517895
"Cindy McCain"	0.0515519
Farber	0.0515386
"Czar Nicholas II"	0.0513172
"general practitioner"	0.051237
Raduyev	0.050768
seamstress	0.0507657
"Indira Gandhi"	0.0501487
Arab-American	0.0501073
Markhasev	0.0499982
"insurance agent"	0.0498861
"Bordeaux wine"	0.0498182
"heroin addict"	0.0497688
pick-and-roll	0.0492378
exboyfriend	0.0490243
acquirer	0.0487111
Fortier	0.048267
"Israeli Arab"	0.0478603
deserter	0.047775
octogenarian	0.0477262
innkeeper	0.047672
"funeral director"	0.0470596
"school girl"	0.0466972
closers	0.0464822
Echegaray	0.046241
wrongdoer	0.0460723
bricklayer	0.0455293
"robbery suspect"	0.045409
yea	0.0453436
"important person"	0.0452381
"Jack Kevorkian"	0.0452333
franchisees	0.0451784
"third person"	0.0451752
"interior decorator"	0.0448472
resister	0.0447164
scalpers	0.044633
airball	0.0445062
watchman	0.0443774
"Terry Nichols"	0.0443653
centenarian	0.0442141
Demps	0.0441714
"three schools"	0.0441124
"lynch mob"	0.0440501
Irishman	0.0440084
Laudor	0.043407
McDuff	0.0433959
"living arrangement"	0.0431877
"money changer"	0.0430756
Auger	0.0423535
"dance step"	0.0422959
"au pair"	0.042109
"mentally retarded"	0.0416059
Martorano	0.0415081
insulator	0.0414381
CEC	0.0413858
"old woman"	0.0413664
"object lesson"	0.0411389
Akayesu	0.0410946
"Aryeh Deri"	0.0408606
"Gary Graham"	0.0407133
"Ernie Zampese"	0.0406098
animator	0.0404703
guardsmen	0.0404003
Cheng	0.0403802
"Iranian Jews"	0.0403389
Copt	0.0403228
serviceman	0.0401193
Gutman	0.040089
))
("about $@" (desc 14678.3) (sims
"about $@@"	0.264808
"about $@@@"	0.245856
"about $@.@@"	0.233961
"about $@,@@@"	0.206521
"about $@@,@@@"	0.203213
"about $@@@,@@@"	0.197808
"about $@.@ million"	0.183374
"about $@ million"	0.182049
"about $@@ million"	0.179559
"about $@@@ million"	0.172516
"about $@ billion"	0.166024
"about $@.@ billion"	0.162218
"hundred dollars"	0.159724
"about $@@ billion"	0.15352
"a few hundred dollars"	0.146532
"about $@@.@ million"	0.139699
"nearly $@@@ million"	0.139646
"about $@@.@@"	0.137671
"a few dollars"	0.137602
"nearly $@@ million"	0.136372
"nearly $@ billion"	0.128426
"thousand dollars"	0.126107
"nearly $@ million"	0.124984
"over $@ million"	0.123941
"million dollars"	0.119807
"almost $@@,@@@"	0.11756
"hundred thousand dollars"	0.115224
"nearly $@.@ million"	0.115114
"more than @@@ million dollars"	0.114505
"about $@.@@ million"	0.113765
"over $@@@ million"	0.113664
"more than @@@ million yuan"	0.111253
"about @@@ million dollars"	0.111034
"more than @@ million US dollars"	0.110483
"almost $@ billion"	0.109771
"a few thousand dollars"	0.108932
"over @@@ million yuan"	0.108715
"almost $@ million"	0.107549
"about $@.@@ billion"	0.107485
"nearly $@@@,@@@"	0.10543
"one million dollars"	0.10507
"over @@@ million US dollars"	0.103906
dlrs	0.101582
"nearly $@"	0.100934
"more than @@@,@@@ yuan"	0.100456
"almost $@@@ million"	0.0998255
"over @@ million US dollars"	0.0997108
"nearly $@@"	0.0996114
penny	0.0985126
"almost $@@ million"	0.0982792
"almost $@@ billion"	0.0982716
"about $@@.@ billion"	0.0982211
"about @@ million dollars"	0.096258
"nearly $@@,@@@"	0.0952743
RM@@@	0.0940493
"billion dollars"	0.0937886
"about @@@ million yuan"	0.0934386
"over $@@ million"	0.092711
"over $@ billion"	0.0924517
"about @ percent"	0.0924151
"one million yuan"	0.092369
"nearly $@@ billion"	0.0921384
"million yuan"	0.0902008
"over $@@,@@@"	0.0901474
birr	0.0898608
"one dollar"	0.0892305
"Over @@@ Million Dollars"	0.088643
"about @ billion dollars"	0.0873934
"about $@@@ billion"	0.087209
"over $@@@,@@@"	0.0871899
"more than @@ billion dollars"	0.0866572
"more than @@ million yuan"	0.0862771
pittance	0.0862747
"two billion yuan"	0.0861949
"three billion yuan"	0.085295
cent	0.0847193
"over $@,@@@"	0.0838742
"five billion yuan"	0.0830972
"one billion yuan"	0.0828251
"more than @@ million dollars"	0.0824414
"RM@,@@@"	0.0821961
"nearly @.@ billion yuan"	0.0819688
"over $@@@"	0.0816269
euros	0.0811595
billion	0.0810151
"more than @@ billion yuan"	0.0802501
"two percent"	0.0802088
"nearly @@@ million yuan"	0.0800083
"billion yuan"	0.0799412
"one cent"	0.0798943
RM@@	0.0798086
"more than @@,@@@ yuan"	0.0783195
"about @.@ percent"	0.0776154
"more than @ billion yuan"	0.077292
"five million yuan"	0.0763977
"almost $@@@,@@@"	0.0761927
ruble	0.0757579
"nearly $@.@ billion"	0.0757256
"more than @.@ billion yuan"	0.0754411
"about @.@"	0.075031
"over $@@"	0.0747024
"more than one billion yuan"	0.0743206
"over @@ million yuan"	0.074129
"about @.@ billion dollars"	0.0738078
"about @@ percent"	0.0737488
"three percent"	0.0733813
"U.S. Dollars"	0.07282
"more than @@@ billion yuan"	0.0727055
"RM@@,@@@"	0.0724429
"over @@ billion yuan"	0.0717087
pataca	0.0715375
"two cents"	0.0712285
"nearly $@,@@@"	0.0712142
"RM@@@,@@@"	0.0711974
"more than @ billion dollars"	0.0707215
"one percent"	0.0699242
million	0.0689279
"Zimbabwe Dollars"	0.0686888
"a few million dollars"	0.0679722
RM@@.@@	0.0677798
"six billion yuan"	0.0675907
"one billion dollars"	0.0675414
"four percent"	0.0660576
shekel	0.0656155
"basis point"	0.0651623
one-third	0.0647502
"small fortune"	0.0646216
"five percent"	0.0642033
"one million US dollars"	0.0640202
"nearly @@ billion yuan"	0.0639658
"more than @.@ billion US dollars"	0.063633
"nearly @@ points"	0.0633637
U.S.dollars	0.0632033
"seven percent"	0.0625227
premium	0.0624321
reais	0.0623085
barrel	0.0618562
"about @@ to @@"	0.0616825
"over $@@ billion"	0.0615294
"amount of money"	0.0614777
"less than @@"	0.0613042
"over @@@ billion yuan"	0.0611113
"about @.@@ percent"	0.0610716
"six percent"	0.0607833
"about @@@ million US dollars"	0.0607228
"less than @"	0.0605262
RM@.@@	0.0604443
ringgit	0.0601439
fee	0.0596003
"more than @@@ million US dollars"	0.0595331
"eight percent"	0.0595193
"less than @.@ percent"	0.0593867
"one billion US dollars"	0.0591844
"about @@ billion yuan"	0.0590624
ECU	0.058916
"hundred million dollars"	0.0589048
"more than @@.@ billion yuan"	0.0587101
"more than @.@ billion dollars"	0.058233
"more than @"	0.0579456
"about @@ billion dollars"	0.0574356
RM@	0.057017
hryvna	0.056145
"nine percent"	0.0558375
"sum of money"	0.0553257
"three million yuan"	0.0551169
"two million yuan"	0.0550949
monthly	0.0550389
fraction	0.0550291
"about one-tenth"	0.0547715
"About @,@@@"	0.0547329
kg	0.0545075
"about two percent"	0.0543004
dime	0.053665
ECUs	0.0535532
"less than @@@"	0.0534174
buck	0.0532705
"about @@,@@@"	0.0530072
minimum	0.052991
"living wage"	0.0529557
sum	0.0529425
centavo	0.0529344
Nickel	0.0523053
"percentage point"	0.0520729
"nearly $@@@ billion"	0.0520377
"five cents"	0.0520168
"about one-third"	0.0519128
"more than @@ points"	0.0517668
"about @@@"	0.0514734
"about @@ million US Dollars"	0.0509972
one-tenth	0.0508963
"roughly @@"	0.0506935
"more than @.@ percent"	0.0505657
ton	0.05051
"about @@ points"	0.0503182
percent	0.0502544
crore	0.0502293
Sen	0.0497891
maximum	0.0489556
zero	0.0485838
gallon	0.0485539
))
("about $@ billion" (desc 17092.6) (sims
"about $@@ billion"	0.342749
"about $@.@ billion"	0.331015
"about $@@@ million"	0.330217
"nearly $@ billion"	0.305868
"about $@@ million"	0.289071
"nearly $@@@ million"	0.288812
"about $@@@ billion"	0.261779
"nearly $@@ billion"	0.241897
"about $@.@@ billion"	0.235392
"about $@@.@ billion"	0.234954
"about $@ million"	0.22624
"about $@@@,@@@"	0.208689
"about $@.@ million"	0.206369
"nearly $@.@ billion"	0.205239
"more than @@@ million yuan"	0.203939
"nearly $@@@ billion"	0.20353
"more than @@ billion yuan"	0.19953
"more than @@ million yuan"	0.196438
"one billion yuan"	0.192758
"more than @@ billion dollars"	0.189549
"billion dollars"	0.189501
"nearly $@@ million"	0.188421
"more than @@@ million dollars"	0.186894
"over @@@ million yuan"	0.185726
"two billion yuan"	0.184062
"about $@@,@@@"	0.181267
"nearly @@@ million yuan"	0.180657
"about $@@.@ million"	0.179443
"over $@ billion"	0.178055
"almost $@ billion"	0.17622
"over $@@@ million"	0.173867
billion	0.173455
"more than one billion yuan"	0.167324
"nearly $@ million"	0.166522
"almost $@@ billion"	0.166452
"about @@@ million dollars"	0.166157
"three billion yuan"	0.16604
"about $@"	0.166024
"more than @.@ billion yuan"	0.165939
"five billion yuan"	0.16577
"about $@@@"	0.165252
"more than @@@ million US dollars"	0.164504
"more than @@@ billion yuan"	0.163597
"about @.@ billion dollars"	0.162784
"more than @ billion dollars"	0.161063
"almost $@@ million"	0.160266
"almost $@@@ million"	0.157721
"about $@,@@@"	0.157412
"more than @@ million US dollars"	0.156204
"about @@ million dollars"	0.15486
"nearly @@ billion yuan"	0.154779
"more than @@@,@@@ yuan"	0.153774
"about $@@"	0.147636
"more than @@ billion US dollars"	0.14738
"about @@@ million yuan"	0.146073
"over @@@ million US dollars"	0.144893
"almost $@@,@@@"	0.144728
"million yuan"	0.143809
"two million yuan"	0.142992
"nearly @.@ billion yuan"	0.140556
"over @@ million yuan"	0.140324
"more than @.@ billion dollars"	0.140111
"more than @@ million dollars"	0.139422
"million dollars"	0.139114
"over $@ million"	0.136511
"one million yuan"	0.13542
"more than @.@ billion US dollars"	0.134822
"almost $@ million"	0.134465
"billion yuan"	0.132857
"five million yuan"	0.132025
"about @@ billion dollars"	0.131117
"six billion yuan"	0.1303
"about $@.@ trillion"	0.130168
"nearly $@.@ million"	0.130039
"seven billion yuan"	0.129564
"more than @@.@ billion yuan"	0.12881
"Over @@@ Million Dollars"	0.128736
"over @@ billion yuan"	0.128666
"one billion US dollars"	0.127821
"over @@@ billion yuan"	0.127782
"over @.@ billion yuan"	0.12623
"over $@@ million"	0.125841
"about @ billion dollars"	0.125441
"nearly $@@@,@@@"	0.12533
"thousand dollars"	0.123632
"one billion dollars"	0.121148
"four billion yuan"	0.12038
"more than @ billion yuan"	0.12011
"hundred thousand dollars"	0.119847
dollar	0.118824
"three million yuan"	0.117978
"about @ percent"	0.116191
"about @@ billion yuan"	0.115297
"two billion US dollars"	0.114875
euros	0.114066
"hundred dollars"	0.114017
"nearly $@@,@@@"	0.112287
"U.S. Dollars"	0.111994
"a few million dollars"	0.11152
"over @@ million US dollars"	0.110936
"about @@@ million US dollars"	0.110789
U.S.dollars	0.109566
"over $@@ billion"	0.107909
"hundred million dollars"	0.104915
"about $@.@@"	0.104412
"about @.@ percent"	0.103468
"another @@ million dollars"	0.102606
"a few hundred dollars"	0.102371
"nearly $@@"	0.101743
million	0.101531
"almost $@@@,@@@"	0.0991558
"about @@ percent"	0.0983218
"one million dollars"	0.0980134
"nearly $@,@@@"	0.0977125
"over $@@@,@@@"	0.0966504
"a few dollars"	0.0960021
birr	0.0952682
"about $@.@@ million"	0.0941315
Bln	0.0938433
"trillion dollars"	0.093603
"more than @@,@@@ yuan"	0.0922411
"nearly $@"	0.091929
"one million US dollars"	0.090899
"about $@@.@@"	0.0896265
sum	0.0887548
penny	0.0887074
ECUs	0.0882994
dlrs	0.0878686
pataca	0.0871303
one-third	0.0863938
"RM@@@,@@@"	0.0855566
"amount of money"	0.0853694
ECU	0.0843024
ruble	0.0835136
amount	0.0832153
"two percent"	0.081153
"about one-tenth"	0.080961
crore	0.0807261
Mln	0.0806561
ringgit	0.0801438
"a few thousand dollars"	0.0798911
"about @@ million US Dollars"	0.0796824
"one third"	0.0792107
"about @.@ billion US dollars"	0.07911
"About @@.@ percent"	0.0766806
"six percent"	0.0742954
"less than @.@ percent"	0.0741314
shekel	0.0732998
"one percent"	0.0729625
"about one-third"	0.0725597
fraction	0.0715049
"Zimbabwe Dollars"	0.0703344
"almost @@"	0.0700605
one-fifth	0.0697189
"five percent"	0.069185
"four percent"	0.0690314
"RM@@,@@@"	0.0687566
"three percent"	0.0686668
"about @@@ million"	0.0678256
"over $@@,@@@"	0.0671168
"about five percent"	0.0652832
RM@@@	0.0652401
"over $@@@"	0.0646549
"sum of money"	0.0643327
"one penny"	0.0643125
"seven percent"	0.0641561
reais	0.0630401
"about @@ million"	0.0628222
"one dollar"	0.062709
"nine percent"	0.0625851
"how much"	0.0623704
"more than @.@ percent"	0.0620906
"less than @"	0.0620157
windfall	0.0616031
bpd	0.0613428
"over $@,@@@"	0.061049
"eight percent"	0.060976
"about @@.@ million dollars"	0.060587
one-seventh	0.0602303
asset	0.060145
thirds	0.0600618
proceeds	0.0590649
dime	0.0589425
"small fortune"	0.0589327
barrel	0.0585154
"One Million"	0.0584013
"ten percent"	0.0583915
revenue	0.058345
equivalent	0.0580103
surplus	0.0578774
"more than @@ million"	0.0576298
percent	0.0575324
monies	0.0572717
tonne	0.0571073
"more than @@@ million"	0.0570851
"about @@@,@@@"	0.0567793
"more than @"	0.0564152
"two cents"	0.0561618
"about @.@ million dollars"	0.0561259
"about @@@,@@@ tons"	0.056123
))
("about $@ million" (desc 18663.8) (sims
"about $@@ million"	0.341222
"about $@.@ million"	0.340665
"about $@@@,@@@"	0.307625
"nearly $@@ million"	0.276499
"about $@@@ million"	0.273891
"nearly $@@@ million"	0.246741
"nearly $@ million"	0.242377
"about $@.@ billion"	0.234986
"about $@@,@@@"	0.233418
"about $@ billion"	0.22624
"nearly $@.@ million"	0.218812
"about $@@ billion"	0.212578
"about $@@.@ million"	0.204599
"about $@,@@@"	0.202454
"nearly $@ billion"	0.199473
"more than @@@ million yuan"	0.198283
"more than @@ million yuan"	0.192841
"over $@ million"	0.191278
"over $@@@ million"	0.190091
"million dollars"	0.188088
"nearly $@@ billion"	0.18727
"about $@@@"	0.186592
"almost $@@ million"	0.184722
"nearly $@@@,@@@"	0.184088
"about $@"	0.182049
"almost $@ million"	0.17803
"nearly @@@ million yuan"	0.175652
"over @@@ million yuan"	0.175293
"about $@.@@ billion"	0.167115
"almost $@@@ million"	0.166769
"about $@@@ billion"	0.166618
"more than @@@ million dollars"	0.164552
"thousand dollars"	0.162243
"more than @@@,@@@ yuan"	0.159343
"more than @@ billion yuan"	0.159321
"nearly $@@,@@@"	0.159152
"over @@ million yuan"	0.155066
"one billion yuan"	0.154681
"hundred thousand dollars"	0.154114
"about $@.@@ million"	0.153743
"billion dollars"	0.152411
"about $@@"	0.151003
"over @@@ million US dollars"	0.149696
"almost $@@,@@@"	0.148194
"almost $@@@,@@@"	0.147008
"three billion yuan"	0.146638
"about @@@ million dollars"	0.146061
"over $@@ million"	0.144852
"more than @@ million dollars"	0.144349
billion	0.144214
"more than @@ million US dollars"	0.142674
"one million yuan"	0.141304
"about $@@.@ billion"	0.140105
"five billion yuan"	0.139861
"five million yuan"	0.139746
"more than @@@ million US dollars"	0.139496
"nearly $@.@ billion"	0.139008
"two billion yuan"	0.138946
"more than @@ billion dollars"	0.138799
"million yuan"	0.138399
"almost $@ billion"	0.137249
"about @@@ million yuan"	0.136136
"more than @.@ billion yuan"	0.135526
"over $@@@,@@@"	0.134887
"about @@ million dollars"	0.133626
"over $@ billion"	0.131872
"more than @@@ billion yuan"	0.131451
"hundred dollars"	0.130947
"two million yuan"	0.129788
"nearly @.@ billion yuan"	0.128282
"about @.@ billion dollars"	0.127802
"more than @ billion dollars"	0.126866
"Over @@@ Million Dollars"	0.125887
"more than one billion yuan"	0.124566
"nearly $@@@ billion"	0.122809
"nearly @@ billion yuan"	0.121767
"a few million dollars"	0.120853
"one billion US dollars"	0.119622
"more than @.@ billion dollars"	0.119422
"over @@ million US dollars"	0.117228
"more than @@ billion US dollars"	0.117209
"over @@@ billion yuan"	0.116892
"three million yuan"	0.11655
million	0.115991
"a few dollars"	0.115668
"more than @ billion yuan"	0.114979
"a few hundred dollars"	0.114428
dlrs	0.113639
"one million dollars"	0.112897
"more than @.@ billion US dollars"	0.112746
"one million US dollars"	0.110662
"hundred million dollars"	0.110244
"nearly $@,@@@"	0.109416
"about @ percent"	0.108617
"more than @@.@ billion yuan"	0.108346
"over @@ billion yuan"	0.108214
"about @@@ million US dollars"	0.107645
"billion yuan"	0.107523
dollar	0.107254
U.S.dollars	0.10538
penny	0.104429
"about $@@.@@"	0.103735
"amount of money"	0.103244
"more than @@,@@@ yuan"	0.102783
sum	0.101859
"four billion yuan"	0.101748
"about @@ billion dollars"	0.101258
"almost $@@ billion"	0.100785
"about @ billion dollars"	0.100784
"one billion dollars"	0.100474
"about $@.@@"	0.0988691
"two billion US dollars"	0.0974193
"six billion yuan"	0.0971387
"over $@@,@@@"	0.0964259
"over @.@ billion yuan"	0.0964249
"U.S. Dollars"	0.0952601
"sum of money"	0.0941127
"nearly $@@"	0.0927254
euros	0.0915169
"RM@@@,@@@"	0.0908653
birr	0.0888834
"nearly $@"	0.0878716
amount	0.0874821
"a few thousand dollars"	0.086766
"about @.@ percent"	0.0850218
pataca	0.0838442
"over $@@ billion"	0.0835694
"about @@ billion yuan"	0.083222
"about @@ percent"	0.0828797
"one penny"	0.0811658
one-third	0.0808139
"small fortune"	0.0807726
"over $@@@"	0.0802059
"seven billion yuan"	0.0791114
"one percent"	0.0784164
"RM@@,@@@"	0.0780541
"about $@.@ trillion"	0.0770122
crore	0.075744
fraction	0.0755118
ruble	0.0754485
ECU	0.0753611
"another @@ million dollars"	0.0750188
RM@@@	0.0747577
"about @.@ billion US dollars"	0.0737158
"three percent"	0.0735879
pittance	0.0731686
"about one-tenth"	0.072505
shekel	0.0719565
"one dollar"	0.0718661
"about @@ million US Dollars"	0.0716206
minimum	0.0715858
ECUs	0.071236
dime	0.0706118
"over $@,@@@"	0.0704208
"RM@,@@@"	0.0703527
"Zimbabwe Dollars"	0.0696606
bonus	0.0692224
"five percent"	0.0687414
"two percent"	0.0687338
maximum	0.067324
salary	0.0665662
"four percent"	0.066121
"more than @.@ percent"	0.0658325
"about one-third"	0.0657359
"how much"	0.0655848
"about @@@ million"	0.0650538
"eight percent"	0.064531
ringgit	0.0645071
cash	0.064401
"six percent"	0.0632435
Mln	0.0631539
billions	0.0630303
"about five percent"	0.0617834
cent	0.0617333
"one third"	0.0617272
"about @@ million"	0.0606764
revenue	0.0602751
fee	0.0602036
equivalent	0.0600384
"About @@.@ percent"	0.0600239
"seven percent"	0.0599225
"About @,@@@"	0.0595876
hryvna	0.058953
buck	0.0582111
"about @@,@@@"	0.0576623
donation	0.0573457
"about @.@@ billion dollars"	0.0571618
percent	0.057069
"About @@ per cent"	0.0566711
one-fifth	0.0564284
one-tenth	0.056068
one-quarter	0.056058
monies	0.0556748
"less than @"	0.0554617
premium	0.0554374
"about @@.@ million dollars"	0.0550519
bpd	0.0545936
"about @.@ million dollars"	0.0544241
"nearly @@ points"	0.0539629
"less than @.@ percent"	0.0537944
))
("about $@,@@@" (desc 20687.7) (sims
"about $@@@"	0.335402
"about $@@,@@@"	0.307279
"about $@@@,@@@"	0.252505
"about $@@"	0.241567
"about $@.@ million"	0.217796
"about $@"	0.206521
"about $@@ million"	0.203983
"about $@ million"	0.202454
"hundred dollars"	0.190996
"about $@@@ million"	0.189901
"about $@.@ billion"	0.183891
"thousand dollars"	0.174219
"a few hundred dollars"	0.167424
"almost $@@,@@@"	0.163894
"about $@.@@"	0.16371
"nearly $@@@ million"	0.161657
"nearly $@ million"	0.15971
"nearly $@@@,@@@"	0.158816
"nearly $@@,@@@"	0.158439
"about $@ billion"	0.157412
"nearly $@,@@@"	0.153107
"about $@@ billion"	0.151005
"nearly $@@ million"	0.145865
"almost $@ million"	0.145699
"more than @@@,@@@ yuan"	0.143428
"about $@@.@ million"	0.139099
"a few dollars"	0.137938
"more than @@@ million yuan"	0.136663
"million dollars"	0.133644
"nearly $@ billion"	0.129388
"over $@@@,@@@"	0.128727
"nearly $@.@ million"	0.128717
"over $@ million"	0.125607
"over $@@,@@@"	0.123014
"more than @@ million yuan"	0.121625
"nearly $@@ billion"	0.120713
dlrs	0.120078
"over @@@ million yuan"	0.117624
"about $@@.@@"	0.117301
"about $@@.@ billion"	0.117222
"two million yuan"	0.116482
"about $@@@ billion"	0.115515
"over @@@ million US dollars"	0.11513
"almost $@@@,@@@"	0.114164
"more than @@@ million dollars"	0.113803
"about $@.@@ million"	0.112969
"five million yuan"	0.112693
"about @@@ million dollars"	0.112689
"almost $@@ million"	0.10979
"one billion yuan"	0.108281
"nearly @@@ million yuan"	0.107613
"over $@@@ million"	0.106492
"more than @@@ million US dollars"	0.106025
"about @@@ million yuan"	0.105547
"almost $@@@ million"	0.1055
"about $@.@@ billion"	0.104632
"RM@,@@@"	0.102458
"one million yuan"	0.101913
"one million dollars"	0.101757
"three million yuan"	0.101119
"about @@ million dollars"	0.100929
"two billion yuan"	0.0999006
"over @@ million yuan"	0.0989182
"billion dollars"	0.0988121
billion	0.0973792
"five billion yuan"	0.0972008
"more than @@ million US dollars"	0.0970802
"RM@@@,@@@"	0.0959075
"RM@@,@@@"	0.0955405
"hundred thousand dollars"	0.0954947
dollar	0.0953357
"over @@ million US dollars"	0.0952107
"a few thousand dollars"	0.0944539
"three billion yuan"	0.0932545
"about @ percent"	0.0930799
"million yuan"	0.0904736
"more than @.@ billion dollars"	0.0900588
"over @.@ billion yuan"	0.0897555
"Over @@@ Million Dollars"	0.0891753
"over $@@ million"	0.0889095
"over $@,@@@"	0.088729
"over @@ billion yuan"	0.0876259
"over $@ billion"	0.0874598
penny	0.08721
RM@@@	0.0871162
"one million US dollars"	0.0857534
"about @@ percent"	0.085419
"more than @@ billion yuan"	0.0850481
"about @.@ percent"	0.0848846
"one billion US dollars"	0.0838848
"nearly @@ billion yuan"	0.0836529
"more than @@,@@@ yuan"	0.083539
ruble	0.0834418
"more than @@ million dollars"	0.0834118
euros	0.082732
"a few million dollars"	0.0818348
"over @@@ billion yuan"	0.0817068
birr	0.0816311
"four billion yuan"	0.0814584
"more than @@ billion dollars"	0.0798478
"almost $@ billion"	0.0773318
"more than @.@ billion yuan"	0.0765788
sum	0.0762495
U.S.dollars	0.0761462
"more than @@@ billion yuan"	0.076055
"about @.@ billion dollars"	0.076002
pataca	0.0758075
million	0.0752882
"hundred million dollars"	0.0750993
RM@@	0.0750902
shekel	0.074529
"about @ billion dollars"	0.0744411
amount	0.073464
"U.S. Dollars"	0.0732752
"one billion dollars"	0.0730658
"about @@ billion yuan"	0.0728347
one-third	0.072691
"more than @@.@ billion yuan"	0.0722872
"six billion yuan"	0.0720485
"over $@@@"	0.0713233
pittance	0.0709647
"over $@@"	0.0707351
"more than one billion yuan"	0.070656
fee	0.0705843
"nearly $@@"	0.0701216
"more than @ billion dollars"	0.0695835
"one percent"	0.0693787
"nearly $@@@ billion"	0.0689742
"nearly @.@ billion yuan"	0.0674514
"nearly $@"	0.0673738
ECU	0.0673324
"three percent"	0.0671149
equivalent	0.0669839
"five percent"	0.0668483
"about @@@ million US dollars"	0.0667387
ringgit	0.066682
"almost $@@ billion"	0.0657644
"two billion US dollars"	0.0653526
"more than @ billion yuan"	0.0653274
monthly	0.0653198
"one dollar"	0.0648781
"Zimbabwe Dollars"	0.0643384
"about @.@@ percent"	0.0630587
minimum	0.0625683
cent	0.0620499
"nearly $@.@ billion"	0.0618673
"about @@ million US Dollars"	0.0606098
"amount of money"	0.060488
"two percent"	0.0589652
"lower than"	0.0582569
fraction	0.0582443
"billion yuan"	0.0577814
premium	0.0577775
"sum of money"	0.057416
"about @@ billion dollars"	0.0573415
salary	0.056338
maximum	0.0562433
kg	0.0561736
crore	0.0559235
buck	0.0553879
"less than @@@"	0.0551586
"seven percent"	0.0546955
"four percent"	0.0546234
bonus	0.0545646
RM@@.@@	0.0545601
ECUs	0.0544881
"more than @@ billion US dollars"	0.0542417
income	0.0539012
barrel	0.0537633
"about @@,@@@"	0.0537295
"basis point"	0.0534031
Tuition	0.0525769
"currency unit"	0.0525716
"record price"	0.0525579
reimbursement	0.0525006
"about @.@ billion US dollars"	0.0522527
cash	0.0520872
pension	0.0519842
"less than @"	0.0519715
bpd	0.0519697
one-quarter	0.0518284
Mln	0.0517681
RM@.@@	0.051367
centavo	0.0513492
"about one-third"	0.0512873
"one cent"	0.0510156
"eight percent"	0.0508836
one-tenth	0.0508037
RM@	0.050658
dividend	0.0502669
expense	0.0502208
payment	0.050152
"less than @@"	0.0497309
discount	0.0495507
"one penny"	0.0495137
"about $@.@ trillion"	0.0494958
percent	0.0493819
wage	0.0492583
"nine percent"	0.049222
"two cents"	0.0492061
))
("about $@.@ billion" (desc 16044.7) (sims
"about $@@ billion"	0.372081
"about $@@@ million"	0.352493
"about $@ billion"	0.331015
"nearly $@ billion"	0.301739
"about $@@ million"	0.289581
"about $@.@@ billion"	0.27177
"about $@@.@ billion"	0.257426
"about $@@@ billion"	0.254063
"nearly $@@@ million"	0.248896
"nearly $@@ billion"	0.242386
"about $@ million"	0.234986
"about $@.@ million"	0.227916
"about $@@@,@@@"	0.223448
"about $@@.@ million"	0.218093
"nearly $@.@ billion"	0.2056
"nearly $@@@ billion"	0.204884
"about $@@,@@@"	0.189986
"about $@,@@@"	0.183891
"over $@ billion"	0.182282
"nearly $@@ million"	0.179172
"more than @@@ million yuan"	0.179123
"one billion yuan"	0.178071
"over $@@@ million"	0.176812
"about $@@@"	0.17639
"billion dollars"	0.176002
"more than @@ billion dollars"	0.175317
"over @@@ million yuan"	0.17356
"almost $@ billion"	0.170702
"about @@@ million dollars"	0.169618
"more than @@@ million dollars"	0.165122
"over $@@ million"	0.163826
"two billion yuan"	0.16318
"about $@@"	0.163165
"about $@"	0.162218
"more than @@ million yuan"	0.16153
"nearly @@@ million yuan"	0.158888
"nearly $@ million"	0.158836
billion	0.158263
"more than @ billion dollars"	0.158195
"about @.@ billion dollars"	0.158146
"more than @@ billion yuan"	0.156391
"almost $@@ billion"	0.153192
"about $@.@ trillion"	0.150296
"about @@ million dollars"	0.148931
"about $@@.@@"	0.148828
"almost $@@@ million"	0.148192
"more than @@@ million US dollars"	0.147373
"almost $@@ million"	0.147188
"nearly $@.@ million"	0.147072
"more than @.@ billion dollars"	0.146196
"almost $@@,@@@"	0.14507
"over @@ million yuan"	0.144912
"more than one billion yuan"	0.143078
"three billion yuan"	0.141792
"five billion yuan"	0.14126
"more than @@@ billion yuan"	0.140945
"more than @.@ billion yuan"	0.140935
"almost $@ million"	0.13957
"more than @@@,@@@ yuan"	0.138726
"over $@ million"	0.137253
"about @@ billion dollars"	0.13443
"about @@@ million yuan"	0.133392
"Over @@@ Million Dollars"	0.133191
"million dollars"	0.131714
"nearly $@@@,@@@"	0.131575
"over @@@ million US dollars"	0.129584
"over @@@ billion yuan"	0.129102
"six billion yuan"	0.129009
"more than @@ billion US dollars"	0.127483
"a few million dollars"	0.126265
"five million yuan"	0.124543
"over @@ billion yuan"	0.124494
"more than @@ million dollars"	0.124053
euros	0.123625
"four billion yuan"	0.122982
"nearly $@@,@@@"	0.119318
"about @ billion dollars"	0.119184
"more than @@ million US dollars"	0.118049
dollar	0.117703
"two million yuan"	0.117245
"over @.@ billion yuan"	0.116399
"one billion dollars"	0.116264
"more than @@.@ billion yuan"	0.115505
"one million yuan"	0.113497
"nearly @.@ billion yuan"	0.113147
"about $@.@@"	0.113079
"nearly @@ billion yuan"	0.11237
"million yuan"	0.112279
"about @ percent"	0.112198
"nearly $@@"	0.11158
"over @@ million US dollars"	0.110463
"U.S. Dollars"	0.109106
"one billion US dollars"	0.108984
"thousand dollars"	0.107776
"billion yuan"	0.106037
"one million US dollars"	0.105516
"about @@@ million US dollars"	0.104519
"about $@.@@ million"	0.1032
"more than @.@ billion US dollars"	0.102742
"almost $@@@,@@@"	0.102537
"hundred dollars"	0.102482
U.S.dollars	0.102136
"over $@@@,@@@"	0.100541
"about @@ billion yuan"	0.0992621
"hundred thousand dollars"	0.0991204
"more than @ billion yuan"	0.0986265
"about @@ percent"	0.0982195
"two billion US dollars"	0.0950481
birr	0.0949919
"RM@@@,@@@"	0.0939278
"hundred million dollars"	0.0930271
"seven billion yuan"	0.0909962
"about @.@ percent"	0.0899713
dlrs	0.0897487
"three million yuan"	0.0897153
"about one-tenth"	0.0895339
one-third	0.088948
"over $@@ billion"	0.0884601
"a few hundred dollars"	0.0881451
million	0.0874883
"nearly $@,@@@"	0.0863163
"another @@ million dollars"	0.0833614
sum	0.0830691
amount	0.0822318
penny	0.0794055
pataca	0.0791349
"one million dollars"	0.0790813
ECUs	0.0782847
"nearly $@"	0.0778092
crore	0.0770699
ruble	0.0767975
ringgit	0.0767413
"two percent"	0.0767276
"one third"	0.0753997
"About @@.@ percent"	0.0753372
"a few thousand dollars"	0.0752074
"over $@,@@@"	0.0751848
"about @@ million US Dollars"	0.0750537
fraction	0.0745835
Mln	0.0745799
ECU	0.0741387
"a few dollars"	0.074032
"amount of money"	0.0739049
"Zimbabwe Dollars"	0.0733729
"more than @@,@@@ yuan"	0.0723844
one-fifth	0.0709468
"over $@@@"	0.0703337
"about five percent"	0.0702773
"three percent"	0.0696466
reais	0.0692272
"about @@@ million"	0.0689918
Bln	0.0689797
"over $@@,@@@"	0.0688721
one-tenth	0.0684605
"about one-third"	0.0681533
"trillion dollars"	0.0677569
"About @@ per cent"	0.0672773
billions	0.0672191
"less than @.@ percent"	0.0670542
"one percent"	0.06676
"six percent"	0.0663945
"five percent"	0.0660246
"small fortune"	0.0658638
"about @@ million"	0.0656229
"more than @.@ percent"	0.0653877
"about @@,@@@"	0.0644843
"sum of money"	0.0635973
"about @.@ billion US dollars"	0.0633432
bpd	0.0629771
"one dollar"	0.062576
one-fourth	0.0622336
premium	0.0621862
"about @.@@ percent"	0.0616676
surplus	0.0615789
"about two-thirds"	0.0614642
"More than one-third"	0.0607583
equivalent	0.0600195
shekel	0.0598689
"about @.@ million"	0.0598219
"RM@@,@@@"	0.0584528
revenue	0.0584314
"currency unit"	0.0580849
"eight percent"	0.0578153
RM@@@	0.0573535
"nearly one-third"	0.0573019
"less than @"	0.0569731
"how much"	0.0567341
"about @@@,@@@"	0.0562221
"four percent"	0.0560294
"Deutsche Mark"	0.0556756
portion	0.0556253
"less than one percent"	0.0555573
hryvna	0.0555316
two-thirds	0.0554923
"nine percent"	0.0550661
percent	0.0548713
"seven percent"	0.0543567
saving	0.0541532
payment	0.0539266
"almost @@"	0.0538681
))
("about $@.@ million" (desc 12633.5) (sims
"about $@ million"	0.340665
"about $@@ million"	0.307275
"about $@@@,@@@"	0.293383
"about $@@,@@@"	0.256231
"nearly $@@@ million"	0.244116
"about $@@@ million"	0.240458
"nearly $@@ million"	0.232693
"nearly $@ million"	0.227971
"about $@.@ billion"	0.227916
"about $@,@@@"	0.217796
"about $@@ billion"	0.214094
"about $@@.@ million"	0.211434
"almost $@ million"	0.209878
"about $@ billion"	0.206369
"almost $@@ million"	0.194641
"nearly $@@@,@@@"	0.191635
"nearly $@.@ million"	0.189595
"over $@@@ million"	0.187743
"over @@@ million yuan"	0.186894
"more than @@@ million dollars"	0.18589
"more than @@@ million yuan"	0.185287
"nearly $@@ billion"	0.184257
"more than @@@,@@@ yuan"	0.183399
"about $@"	0.183374
"more than @@ million yuan"	0.182807
"about $@@@"	0.182176
"about $@.@@ million"	0.180776
"nearly $@ billion"	0.178818
"about $@.@@ billion"	0.173703
"million dollars"	0.173464
"almost $@@,@@@"	0.169133
"nearly $@@,@@@"	0.166729
"over $@ million"	0.163629
"about $@@@ billion"	0.159675
"Over @@@ Million Dollars"	0.155196
"over @@@ million US dollars"	0.154917
"about $@@"	0.152215
"almost $@@@ million"	0.152102
"about @@ million dollars"	0.150208
"billion dollars"	0.148289
"about @@@ million yuan"	0.148165
"about $@@.@ billion"	0.147537
"about @@@ million dollars"	0.14698
"nearly @@@ million yuan"	0.146819
"almost $@@@,@@@"	0.144611
"thousand dollars"	0.143624
"over @@ million yuan"	0.143281
"over $@@ million"	0.142177
"more than @@ billion dollars"	0.141919
"a few hundred dollars"	0.14109
"more than @@ billion yuan"	0.140162
"over $@ billion"	0.139047
"almost $@@ billion"	0.138318
"more than @@@ million US dollars"	0.136139
"more than one billion yuan"	0.135734
"one billion yuan"	0.135403
"about @.@ billion dollars"	0.134896
"million yuan"	0.134747
"almost $@ billion"	0.134312
"one million US dollars"	0.133294
"two billion yuan"	0.132341
"five million yuan"	0.131301
"hundred thousand dollars"	0.130638
"five billion yuan"	0.129931
"one million yuan"	0.129386
"over $@@@,@@@"	0.129352
"nearly @.@ billion yuan"	0.12821
"more than @.@ billion dollars"	0.127944
"over @@@ billion yuan"	0.127861
"nearly $@.@ billion"	0.127332
"one billion dollars"	0.127122
"nearly @@ billion yuan"	0.126676
"more than @ billion dollars"	0.126624
"a few million dollars"	0.124837
"about $@@.@@"	0.124834
"one million dollars"	0.124703
"more than @@ million US dollars"	0.124162
"hundred dollars"	0.12197
"more than @@ million dollars"	0.121893
"over @@ million US dollars"	0.119494
"more than @.@ billion yuan"	0.118958
"three billion yuan"	0.117887
"two million yuan"	0.117671
"more than @@,@@@ yuan"	0.117636
"more than @@@ billion yuan"	0.116051
"one billion US dollars"	0.116038
"a few thousand dollars"	0.115068
"nearly $@@@ billion"	0.113507
"over @.@ billion yuan"	0.111577
billion	0.110072
"over $@@,@@@"	0.109664
"about $@.@@"	0.109625
"about @ billion dollars"	0.108796
"more than @@.@ billion yuan"	0.108027
"nearly $@,@@@"	0.107616
"a few dollars"	0.106493
"about @@ billion dollars"	0.106367
"RM@@@,@@@"	0.105128
"over @@ billion yuan"	0.104191
"four billion yuan"	0.103817
"hundred million dollars"	0.103413
"more than @ billion yuan"	0.10257
"six billion yuan"	0.102342
dlrs	0.101792
U.S.dollars	0.101685
"U.S. Dollars"	0.101044
"RM@@,@@@"	0.0995058
"three million yuan"	0.0988727
"billion yuan"	0.0976491
"nearly $@@"	0.096529
"about @@ million US Dollars"	0.0962734
million	0.0960505
"about @@ billion yuan"	0.0936452
birr	0.0924346
"about $@.@ trillion"	0.0907584
"amount of money"	0.0905819
"nearly $@"	0.0887731
"more than @.@ billion US dollars"	0.0886472
"sum of money"	0.0884279
euros	0.0869896
RM@@@	0.0864133
"more than @@ billion US dollars"	0.0863505
"Zimbabwe Dollars"	0.0857946
"about @@@ million US dollars"	0.0854874
sum	0.0853021
pataca	0.084673
"RM@,@@@"	0.0834101
"about @ percent"	0.0806791
ECU	0.080126
penny	0.0797313
"about @.@ percent"	0.0794308
ECUs	0.0788827
"about one-tenth"	0.0787052
"seven billion yuan"	0.0773794
"over $@,@@@"	0.0770782
"two billion US dollars"	0.0767017
"over $@@ billion"	0.0759467
"over $@@"	0.0756394
ruble	0.0700765
shekel	0.0699801
"over $@@@"	0.0695425
"another @@ million dollars"	0.0681068
"one dollar"	0.0680478
pittance	0.0666943
"about @@ percent"	0.0654185
buck	0.0653246
one-third	0.0652532
ringgit	0.065196
"about @@@,@@@ dollars"	0.0643687
reais	0.0642764
salary	0.0607324
crore	0.0604534
hryvna	0.0591035
minimum	0.0586893
"about @.@@ percent"	0.0585963
"trillion dollars"	0.0583055
fraction	0.0582124
"small fortune"	0.0581012
billions	0.0574277
"about @@.@ million dollars"	0.0561557
"about @.@ billion US dollars"	0.055746
"Tanzania Shillings"	0.0556321
"about one-third"	0.0555541
monthly	0.055051
"five percent"	0.0550239
"how much"	0.0547203
"seven percent"	0.0546813
bonus	0.0538903
monies	0.0538782
"one percent"	0.0536387
"seven points"	0.0528808
bpd	0.0526619
"about @.@@ billion dollars"	0.0525972
donation	0.0524636
dime	0.0523412
KUNA	0.0522977
"about @.@ million dollars"	0.052248
"about @@ million"	0.0521485
kickback	0.0520036
"three percent"	0.0518581
cent	0.0516982
"billion over @@ years"	0.0514279
Mln	0.0513293
"about @@@ million"	0.0510905
maximum	0.0508028
windfall	0.0508002
"nearly @@ points"	0.0505126
"about @@,@@@"	0.0504844
one-fifth	0.0497758
"one third"	0.0495694
"more than @@ million"	0.0486899
trillion	0.0486255
Bln	0.048401
"positive feedback"	0.0481677
"about @.@"	0.0479058
"about @@ points"	0.0478175
"more than @@ points"	0.0476308
"six percent"	0.0472946
"currency unit"	0.0472511
"six points"	0.0472431
))
("about $@.@ trillion" (desc 1411.74) (sims
"nearly $@@@ billion"	0.344492
"about $@@@ billion"	0.301625
"about $@@ billion"	0.186593
"nearly @@@ million yuan"	0.16281
"trillion dollars"	0.160623
"almost $@@ billion"	0.152337
"over @@@ billion yuan"	0.151923
"about $@.@ billion"	0.150296
"about @@@ million yuan"	0.150284
"more than one billion yuan"	0.146611
"more than @.@ billion dollars"	0.145108
"about $@ billion"	0.130168
"nearly @@ billion yuan"	0.130148
"about $@@.@ million"	0.129941
"over $@@ million"	0.129251
"more than @@ billion US dollars"	0.129232
"one billion yuan"	0.127403
"nearly $@@ billion"	0.127394
"over @@ billion yuan"	0.127026
"over @@@ million yuan"	0.120481
"more than @.@ billion yuan"	0.118352
"four billion yuan"	0.116885
"more than @@.@ billion yuan"	0.113684
"more than @@ billion dollars"	0.113361
"about @@ billion yuan"	0.11321
"more than @@ billion yuan"	0.112951
"more than @@@ million dollars"	0.112078
"almost $@ billion"	0.111624
"more than @@@ million yuan"	0.111213
"more than @.@ billion US dollars"	0.110597
"over @@ million yuan"	0.110066
"about $@@.@ billion"	0.108474
"five billion yuan"	0.108422
"more than @ billion dollars"	0.107904
"about $@.@@ million"	0.107559
"more than @@@ billion yuan"	0.106057
"about @@ million dollars"	0.105021
"almost $@@ million"	0.104973
"one million US dollars"	0.104563
"three billion yuan"	0.104284
"Over @@@ Million Dollars"	0.104272
"seven billion yuan"	0.104236
"more than @@ million yuan"	0.10288
"more than @@@ million US dollars"	0.102783
"more than @@@,@@@ yuan"	0.102731
"six billion yuan"	0.102314
"over $@@ billion"	0.101719
"two million yuan"	0.101675
"two billion yuan"	0.101647
"nearly $@@@ million"	0.100684
"about @ billion dollars"	0.100547
"nearly $@.@ billion"	0.100272
"over @@@ million US dollars"	0.0998285
"nearly $@ billion"	0.0990831
"one million dollars"	0.0987064
"over $@ billion"	0.0971603
"about @.@ million dollars"	0.0968254
tenge	0.0953771
"nearly $@"	0.0953327
"almost $@ million"	0.0953151
"one billion US dollars"	0.0950249
"nearly $@.@ million"	0.0940498
"almost $@@@,@@@"	0.092079
"almost $@@@ million"	0.09129
"about $@.@ million"	0.0907584
"over @.@ billion yuan"	0.0882443
"nearly $@ million"	0.087809
"about @.@ billion dollars"	0.0875609
"nearly $@,@@@"	0.0854407
"about $@@@ million"	0.085377
"million yuan"	0.0840857
"two billion US dollars"	0.0832124
"about @@@ million US dollars"	0.0805485
"about $@@ million"	0.0801582
ECUs	0.0798216
"nearly $@@,@@@"	0.0792843
"billion dollars"	0.0786722
"about $@@@,@@@"	0.078391
korun	0.0781859
"three million yuan"	0.0779431
"about @@ billion dollars"	0.0777553
"nearly @.@ billion yuan"	0.0773668
"about $@ million"	0.0770122
"hundred million dollars"	0.0769263
ECU	0.0769233
"more than @@ million US dollars"	0.0765567
"one billion dollars"	0.0765018
"hundred thousand dollars"	0.0760134
"over $@ million"	0.0747699
"billion yuan"	0.0724742
"nearly one-third"	0.0722996
pataca	0.0721767
"about @@@ million dollars"	0.0709336
"about $@.@@ billion"	0.0708689
"RM@@@,@@@"	0.0708668
trillion	0.0706579
"about @@ million US Dollars"	0.0697636
"thousand dollars"	0.0691649
"more than @@ million dollars"	0.0687562
"more than five times"	0.0678295
shekel	0.0667655
"nearly $@@ million"	0.0664563
"five million yuan"	0.0658248
"one million yuan"	0.0655213
crore	0.0655146
"more than @ billion yuan"	0.0647606
"nearly $@@"	0.0642405
"more than @@,@@@ yuan"	0.0624181
"over $@@@,@@@"	0.0623521
"about one-tenth"	0.0607168
"one penny"	0.0602553
wage-earner	0.0600945
hryvna	0.0594065
"a few million dollars"	0.0590599
"nearly $@@@,@@@"	0.0586823
"about @.@ billion US dollars"	0.05868
"Tanzania Shillings"	0.0575188
dinar	0.0561784
sms/adc	0.0556782
"about @@.@ million dollars"	0.0556088
"currency unit"	0.0548311
"RM@@,@@@"	0.0543774
"over $@@@ million"	0.0537957
"about $@@,@@@"	0.0535823
"about five percent"	0.051653
"about @@@,@@@ tons"	0.051072
"about two percent"	0.050486
one-seventh	0.0503647
"less than @.@ percent"	0.0503396
"hundred dollars"	0.0502189
"almost $@@,@@@"	0.0501306
"almost one-third"	0.0493921
"over @@ million US dollars"	0.0489365
"About @@ per cent"	0.0485241
"Exchange Fund"	0.0480701
"million dollars"	0.0479222
"nearly @@@,@@@"	0.0477688
"more than @.@ percent"	0.0476868
buybacks	0.0456479
non-Social	0.0454994
"Zimbabwe Dollars"	0.0454964
"about @.@ million tons"	0.0452149
"Macao Government"	0.045051
"about @.@ billion"	0.0445321
"about @@@ tons"	0.0442986
"ransom money"	0.0439905
tilde	0.0437867
"hard drug"	0.0436338
KUNA	0.0435931
birr	0.0432643
"Four million"	0.0430539
monies	0.0429368
"about @@@,@@@ dollars"	0.0422874
"over @,@@@ tons"	0.0419932
"more than @@ million tons"	0.0416891
shilling	0.0414428
"less than one percent"	0.0408784
"more than @,@@@ kilometers"	0.0406121
"a few hundred dollars"	0.0405996
"Deutsche Mark"	0.0405419
"about @@ points"	0.0403397
shrinkage	0.0403204
Pula	0.0401431
"hue and cry"	0.0400318
))
("about $@.@@" (desc 10100.4) (sims
"about $@@"	0.239899
"about $@@.@@"	0.237091
"about $@"	0.233961
"about $@@@"	0.198135
"about $@,@@@"	0.16371
"about $@@,@@@"	0.16066
"about $@@@ million"	0.130212
"hundred dollars"	0.126963
"about $@@@,@@@"	0.126755
"about $@@ million"	0.118266
"about $@.@ billion"	0.113079
"about $@.@ million"	0.109625
"a few dollars"	0.109187
"about $@@ billion"	0.108915
"a few thousand dollars"	0.104806
"about $@ billion"	0.104412
"nearly $@@"	0.103415
"a few hundred dollars"	0.0991904
"about $@ million"	0.0988691
cent	0.0954456
"about @.@@ percent"	0.094823
euros	0.0931517
"over @@ million US dollars"	0.0902478
"about @.@"	0.089773
"over $@ million"	0.0894261
dlrs	0.087841
"about @@@ million dollars"	0.086628
"thousand dollars"	0.0849297
"almost $@@,@@@"	0.0848384
"nearly $@@@ million"	0.084477
"about $@.@@ billion"	0.0832523
"nearly $@@,@@@"	0.082427
penny	0.0807694
"about $@@.@ billion"	0.0796943
"one million dollars"	0.0794091
"over $@,@@@"	0.0787075
"about $@@.@ million"	0.0782335
"more than @@ million US dollars"	0.0775836
"more than @@@,@@@ yuan"	0.0774812
birr	0.0772572
"about @@ billion dollars"	0.0766393
"nearly $@ million"	0.0765117
RM@@	0.0760569
"over $@@"	0.075793
"nearly $@.@ million"	0.0753094
RM@.@@	0.0741828
"nearly $@ billion"	0.0726555
"almost $@ million"	0.07238
"about @ percent"	0.0718825
"over @@@ million US dollars"	0.0716937
"more than @@@ million yuan"	0.0716842
"more than @@,@@@ yuan"	0.0710599
"two billion yuan"	0.0707332
"over @@@ million yuan"	0.0695663
"nearly $@,@@@"	0.0693108
"five billion yuan"	0.0687723
"million dollars"	0.0682741
"nearly $@@@,@@@"	0.06824
"about @.@ percent"	0.0676055
"about @@ million dollars"	0.0672755
"more than @@@ million dollars"	0.0666798
"about @@@ million yuan"	0.0655159
"one dollar"	0.0654496
U.S.dollars	0.065077
"about $@.@@ million"	0.0642006
"less than @"	0.0637744
ruble	0.0631413
RM@@@	0.0628389
"RM@@@,@@@"	0.0627956
pataca	0.0625901
"nearly $@@ million"	0.0623391
"over $@@@ million"	0.0611422
"nearly @@ points"	0.0611182
"about $@@@ billion"	0.0598634
"about @ billion dollars"	0.05955
"less than @@"	0.0594267
RM@	0.0594051
"almost $@@@,@@@"	0.0592583
"more than @@ million yuan"	0.0582799
"RM@,@@@"	0.0581066
"million yuan"	0.058047
"over $@@@"	0.057681
metical	0.0571429
"one billion yuan"	0.0569278
"over @@ billion yuan"	0.056736
"over $@@,@@@"	0.05616
"nearly $@@ billion"	0.0561079
pittance	0.0559592
"more than @@ billion yuan"	0.0558313
shekel	0.0552593
RM@@.@@	0.055108
"more than @ billion yuan"	0.0547932
"more than @@ yards"	0.0547344
"over $@ billion"	0.0546666
"over @.@ billion yuan"	0.0544967
"about @@@ million US dollars"	0.0542914
"a few million dollars"	0.0542004
"one billion dollars"	0.0541702
"Over @@@ Million Dollars"	0.0538857
"RM@@,@@@"	0.0537257
"Zimbabwe Dollars"	0.0534937
"about @@ to @@"	0.053328
"about @@@,@@@ dollars"	0.0525219
Sen	0.0524275
"hundred million dollars"	0.0518904
"one million yuan"	0.0517564
"nearly @@@ million yuan"	0.0513863
"more than @@ million dollars"	0.0510462
"nearly $@"	0.0510303
"about @@ points"	0.0509978
"nearly @@"	0.050563
"nine percent"	0.0503536
ringgit	0.0502428
"hundred thousand dollars"	0.0500543
"more than @@.@ billion yuan"	0.0498176
"six billion yuan"	0.0493817
"nearly @.@ billion yuan"	0.0493057
"lower than"	0.0492645
"U.S. Dollars"	0.0487764
"over @@ million yuan"	0.0486938
"one US dollar"	0.0484304
"about @.@ billion dollars"	0.048411
"billion dollars"	0.0479868
"less than @@@"	0.0479765
"About @,@@@"	0.047968
"more than @@ billion dollars"	0.0476645
"more than @"	0.0474184
"almost $@@ million"	0.0473905
"over $@@@,@@@"	0.0473106
"less than @.@ percent"	0.0472058
barrel	0.0470736
"about @@ billion yuan"	0.0466828
fraction	0.0466664
"three billion yuan"	0.0463663
one-third	0.0463162
billion	0.0463114
"billion yuan"	0.0461612
"three million yuan"	0.046037
"about @@,@@@"	0.0458988
"three percent"	0.0457617
"almost @@"	0.0457099
"one percent"	0.0456732
reais	0.0455891
"about @@@ pounds"	0.0453961
bpd	0.0453632
meticais	0.0450528
"about @@@ points"	0.0446142
"almost $@@ billion"	0.0445241
"eight percent"	0.0444642
"seven percent"	0.044142
gallon	0.044125
"more than @.@ percent"	0.0439655
"more than @@ points"	0.0439265
Nickel	0.0438863
ECU	0.0436036
"licensing fee"	0.0434903
"one penny"	0.0434695
"about one-tenth"	0.0434283
"five million yuan"	0.0430786
"five percent"	0.0430401
"two percent"	0.0428778
fils	0.042612
"more than @@,@@@"	0.0422976
"more than one billion yuan"	0.0422238
"more than @@@ million US dollars"	0.0421658
"record price"	0.0417689
tonne	0.0417446
"miles per gallon"	0.0417017
"one million US dollars"	0.0416006
"small fortune"	0.0414938
"four percent"	0.0414413
kwanza	0.0413272
kWh	0.0412113
crore	0.0411009
"more than @@@ points"	0.0410378
"about @.@ million"	0.0406439
"nearly @@@ points"	0.0406421
"service charge"	0.0405966
"two million yuan"	0.0404824
"nearly @"	0.0403908
"nearly @@ billion yuan"	0.0403706
"four billion yuan"	0.0400269
"about @@ million"	0.0400038
))
("about $@.@@ billion" (desc 1950.17) (sims
"about $@@.@ billion"	0.417513
"almost $@@ billion"	0.284122
"nearly $@.@ billion"	0.276418
"about $@.@ billion"	0.27177
"about $@@.@ million"	0.269281
"about $@@ billion"	0.266905
"almost $@ billion"	0.260512
"nearly $@@ billion"	0.257314
"almost $@@@ million"	0.246361
"about $@ billion"	0.235392
"nearly $@@@ million"	0.227067
"over @@@ billion yuan"	0.223956
"over $@@@ million"	0.221526
"nearly $@ billion"	0.219614
"more than @@ billion dollars"	0.21376
"over $@ billion"	0.209963
"about $@@@ million"	0.209124
"about $@@@ billion"	0.204317
"about $@@ million"	0.193054
"over @@@ million yuan"	0.192662
"almost $@@ million"	0.191924
"more than one billion yuan"	0.182134
"over @.@ billion yuan"	0.179661
"more than @@.@ billion yuan"	0.177759
"more than @@@ million yuan"	0.17646
"about $@.@ million"	0.173703
"almost $@@,@@@"	0.173082
"more than @@@,@@@ yuan"	0.172
"nearly $@@@ billion"	0.170119
"more than @@ million dollars"	0.168036
"about $@ million"	0.167115
"nearly $@.@ million"	0.166427
"almost $@@@,@@@"	0.165352
"over @@ billion yuan"	0.164936
"more than @.@ billion yuan"	0.164792
"a few million dollars"	0.1642
"more than @@ million yuan"	0.164006
"nearly @@ billion yuan"	0.163499
"about @@@ million yuan"	0.162138
"over $@ million"	0.160798
"five billion yuan"	0.156622
"billion dollars"	0.152613
"over $@@ million"	0.150458
"nearly @.@ billion yuan"	0.148517
"more than @@@ million dollars"	0.146796
"six billion yuan"	0.146507
"over $@@ billion"	0.146322
"about $@@,@@@"	0.144988
"nearly $@@ million"	0.144861
"over @@ million yuan"	0.142468
"about $@@.@@"	0.141882
"three billion yuan"	0.141593
"more than @@ billion US dollars"	0.140983
"about $@.@@ million"	0.140983
"almost $@ million"	0.140465
"nearly @@@ million yuan"	0.138661
"more than @.@ billion dollars"	0.137345
"more than @ billion dollars"	0.136292
"two billion yuan"	0.135969
"hundred thousand dollars"	0.135514
"about $@@@,@@@"	0.135312
"thousand dollars"	0.133685
"nearly $@@"	0.133169
"over @@@ million US dollars"	0.131904
"nearly $@"	0.130812
"about @@ million dollars"	0.130694
"four billion yuan"	0.130372
"one billion dollars"	0.128757
"more than @ billion yuan"	0.127355
"about @@@ million US dollars"	0.126907
"one billion US dollars"	0.126653
"million dollars"	0.126415
"more than @@ million US dollars"	0.125859
"one billion yuan"	0.125293
"nearly $@ million"	0.123787
"about @.@ billion dollars"	0.120926
"about @@ billion dollars"	0.120753
"about @@@ million dollars"	0.11953
"more than @@@ billion yuan"	0.118936
"about @@ billion yuan"	0.117088
"two million yuan"	0.116392
"over $@@@,@@@"	0.116293
"five million yuan"	0.115648
"nearly $@@,@@@"	0.114521
"about @ billion dollars"	0.113475
"more than @@ billion yuan"	0.113221
"nearly $@@@,@@@"	0.112241
"one million yuan"	0.111916
"about $@@"	0.110854
"hundred dollars"	0.110354
"million yuan"	0.109351
"billion yuan"	0.108877
"over $@@@"	0.10883
"about $@"	0.107485
"three million yuan"	0.107252
"over @@ million US dollars"	0.105569
"about $@,@@@"	0.104632
"a few thousand dollars"	0.102629
"seven billion yuan"	0.101401
"hundred million dollars"	0.100831
"about $@@@"	0.0990085
"one million US dollars"	0.0985208
"two billion US dollars"	0.0975001
"small fortune"	0.0972752
billion	0.0958494
"more than @@@ million US dollars"	0.0951808
"about @.@@ billion dollars"	0.0934462
"Over @@@ Million Dollars"	0.0933718
euros	0.0901991
"another @@ million dollars"	0.0865389
"nearly $@,@@@"	0.0860196
"about @.@ billion US dollars"	0.0852404
"about @@.@ million dollars"	0.0846756
"a few hundred dollars"	0.083547
"about $@.@@"	0.0832523
"over $@@,@@@"	0.0757746
"more than @@,@@@ yuan"	0.0750639
"more than @.@ billion US dollars"	0.074671
"about @@ million US Dollars"	0.074218
Mln	0.071086
"about $@.@ trillion"	0.0708689
weightings	0.0695795
"about @@@,@@@ dollars"	0.0654483
"over $@,@@@"	0.0652868
Bln	0.0647412
"RM@@@,@@@"	0.0637434
"RM@@,@@@"	0.0633887
U.S.dollars	0.0632167
"one penny"	0.0629964
ECUs	0.0624739
one-seventh	0.0617713
metical	0.0615894
"a few dollars"	0.0615582
"one million dollars"	0.0610616
pittance	0.0608257
"amount of money"	0.0606922
"investor interest"	0.0600481
birr	0.0600236
ECU	0.0595801
"less than one percent"	0.058676
"about @.@ million dollars"	0.0573976
"Uganda Shillings"	0.056679
"disability benefit"	0.0562341
RM@@@	0.0559206
pataca	0.0558128
"about @@@ million"	0.0555484
monies	0.0553955
"sum of money"	0.0552626
drawdown	0.0547253
"one dollar"	0.0536648
"more than @@@,@@@ tons"	0.0527989
"about one-tenth"	0.0525284
dinar	0.0520032
tenge	0.0517713
franc	0.0516816
"ransom money"	0.0515716
"hush money"	0.0515372
knighthood	0.0514534
"million tons"	0.0507555
"currency unit"	0.049568
"death benefit"	0.0484889
"about @@ million"	0.0483494
"less than @.@ percent"	0.0476146
"Exchange Fund"	0.0472465
"Zambia Consolidated Copper Mines"	0.046863
"nearly one-third"	0.0466961
"more than one-fifth"	0.046161
"telephone bill"	0.0461425
"marriage license"	0.0461173
"equity stake"	0.045982
"Bengal tiger"	0.0457899
"Deutsche Mark"	0.0455583
KUNA	0.0455225
"another @.@ percent"	0.0452249
"more than @.@ billion"	0.0449053
"bank rate"	0.0447723
"speeding ticket"	0.0447071
"personal loan"	0.0443506
crore	0.0443183
"Zimbabwe Dollars"	0.0438655
"dividend payment"	0.0435407
"Tanzania Shillings"	0.0434423
hryvna	0.0426625
UPI	0.0423946
deductibles	0.0419522
"Twenty-five percent"	0.0418753
"up to @@.@ percent"	0.0412983
"form letter"	0.0412147
"About @@.@ percent"	0.0410177
"more than @.@ percent"	0.0409917
alimony	0.040986
"over $@@"	0.0409858
one-fifth	0.0408213
"tax benefit"	0.0407747
"up to @.@ percent"	0.0406729
"admission price"	0.0402884
"over one third"	0.0402431
))
("about $@.@@ million" (desc 965.156) (sims
"nearly $@.@ million"	0.257418
"almost $@@,@@@"	0.207895
"Over @@@ Million Dollars"	0.190177
"almost $@ million"	0.189936
"nearly $@ million"	0.187794
"almost $@@@,@@@"	0.181614
"about $@.@ million"	0.180776
"almost $@@ million"	0.177746
"about $@@.@ million"	0.168036
"nearly $@@ million"	0.167758
"nearly $@,@@@"	0.164138
"nearly $@"	0.162006
"over $@ million"	0.158888
"about $@@.@@"	0.154925
"about $@ million"	0.153743
"million yuan"	0.152878
"more than @@,@@@ yuan"	0.152863
"nearly $@@"	0.150297
"about $@@@,@@@"	0.148262
"over $@@@,@@@"	0.148104
"nearly @@@ million yuan"	0.148059
"about $@@ million"	0.142792
"nearly $@@@ million"	0.142725
"nearly $@@,@@@"	0.142101
"about $@.@@ billion"	0.140983
"nearly $@@@,@@@"	0.139204
"over @@@ million US dollars"	0.137434
"hundred million dollars"	0.137126
"over $@,@@@"	0.136656
"over $@@,@@@"	0.136631
"hundred dollars"	0.135726
"more than one billion yuan"	0.134875
"almost $@ billion"	0.134496
"about @@@ million yuan"	0.131925
"nearly @@ billion yuan"	0.127653
"a few hundred dollars"	0.126057
"almost $@@@ million"	0.124105
"hundred thousand dollars"	0.123705
"about $@@,@@@"	0.123586
"over @@ million yuan"	0.122181
"over $@@@ million"	0.118242
"five million yuan"	0.117167
"about $@"	0.113765
"more than @@ million dollars"	0.11364
"about $@,@@@"	0.112969
"a few thousand dollars"	0.11272
"over @.@ billion yuan"	0.111619
"more than @@@ million yuan"	0.110542
"over @@@ billion yuan"	0.109687
"more than @@@,@@@ yuan"	0.109571
"almost $@@ billion"	0.108024
"about $@.@ trillion"	0.107559
"more than @.@ billion yuan"	0.106911
"about @@ million dollars"	0.106642
"over @@ billion yuan"	0.106382
"more than @@.@ billion yuan"	0.105015
"about $@@@ million"	0.104995
"four billion yuan"	0.104745
"nearly @.@ billion yuan"	0.104668
"about $@@ billion"	0.104309
billions	0.103924
"more than @ billion yuan"	0.103593
"over @@@ million yuan"	0.103348
"about $@.@ billion"	0.1032
"about $@@.@ billion"	0.102734
"small fortune"	0.101264
"nearly $@ billion"	0.0986525
"about $@@@"	0.0982083
"over $@@@"	0.0977826
reais	0.0964967
"more than @@ million yuan"	0.0958252
"more than @@@ million US dollars"	0.0951821
"over $@ billion"	0.0950788
"about $@ billion"	0.0941315
"about $@@@ billion"	0.0927287
"two million yuan"	0.0922935
"over $@@ million"	0.0910734
"thousand dollars"	0.0909232
"one million dollars"	0.0908573
"about @@@,@@@ dollars"	0.09075
"about $@@"	0.0886382
"one million US dollars"	0.0878413
"one penny"	0.0866531
"about @@@ million US dollars"	0.0861348
"a few million dollars"	0.0856635
"one billion US dollars"	0.0846901
"nearly $@@@ billion"	0.0838064
"two billion yuan"	0.0833205
"about @ billion dollars"	0.0831456
"seven billion yuan"	0.0829534
"a few dollars"	0.0825601
"more than @@ billion yuan"	0.0824333
"RM@,@@@"	0.0819448
"one billion yuan"	0.0811672
RM@@@	0.0801778
"six billion yuan"	0.0800785
"billion dollars"	0.0796699
"more than @.@ billion dollars"	0.0794292
"one million yuan"	0.0786271
"about @@ billion yuan"	0.0783591
"more than @@ million US dollars"	0.0782901
"million dollars"	0.0782642
"RM@@@,@@@"	0.0781986
"more than @@@ billion yuan"	0.0779891
"trillion dollars"	0.0776585
"more than @ billion dollars"	0.0769305
"RM@@,@@@"	0.0765556
"more than @.@ billion US dollars"	0.073862
"nearly $@.@ billion"	0.0723643
"nearly $@@ billion"	0.0717639
"more than @@ billion dollars"	0.0708922
VND	0.0696069
"about @.@@ billion dollars"	0.069189
"about @@ million US Dollars"	0.0687873
"about @.@ billion dollars"	0.0686057
"ransom money"	0.0683034
"about @.@ million dollars"	0.0681536
"three billion yuan"	0.0677493
"over $@@"	0.0670389
"about @@@ million dollars"	0.066075
"three million yuan"	0.0655488
"more than @@@ pounds"	0.0653999
"about @@ billion dollars"	0.0651959
"Zimbabwe Dollars"	0.0647615
"one billion dollars"	0.0645772
"over $@@ billion"	0.0643143
"about $@.@@"	0.0642006
"one dollar"	0.0637609
dime	0.0616026
"five billion yuan"	0.0614225
"three match points"	0.0609876
"more than @@ billion US dollars"	0.0608878
mil	0.0600307
monies	0.0576918
"sum of money"	0.0563097
birr	0.0555968
meticais	0.055588
"more than @@@ million dollars"	0.0546055
"billion yuan"	0.0542754
"one cent"	0.0534089
"Rodney King"	0.0532283
"more than @@ yards"	0.0530965
"Uganda Shillings"	0.0527643
lakh	0.052375
calorie	0.0522736
half-point	0.0518245
"more than @.@ percent"	0.051645
"two billion US dollars"	0.0515102
"speeding ticket"	0.0513846
"parking ticket"	0.0513482
"about one-tenth"	0.050389
"over @@ million US dollars"	0.0500325
co-payment	0.0498559
"more than @@ points"	0.0497403
ECU	0.0494427
KUNA	0.0494295
shredders	0.049357
"employment contract"	0.0480793
knighthood	0.0480262
"wage scale"	0.0479878
"user fee"	0.0477178
"nearly @@ points"	0.0476901
"about @.@ billion"	0.0469254
factoring	0.0465021
"financial officer"	0.0462415
"over @@,@@@ tons"	0.046155
"about @@ pounds"	0.0457628
shredder	0.045594
"first pole"	0.0452759
"Tanzania Shillings"	0.044745
"more than @@@ yards"	0.0445838
"four-letter word"	0.0444611
"national income"	0.0444543
centavo	0.0443478
Petrofina	0.044267
"working day"	0.0439953
downtime	0.0439798
"about @@.@ million dollars"	0.0439376
"licensing fee"	0.0438574
"list price"	0.0436653
RM@@	0.0435903
"up to @"	0.0434343
RMB	0.0432043
"about eight"	0.0428279
franc	0.0428269
"one homer"	0.0428081
upfront	0.0423884
"Doug Gilmour"	0.0423813
Nextel	0.0422251
matzoh	0.0422225
"dividend yield"	0.0420286
"tax liability"	0.0420251
metical	0.0418402
hryvna	0.0418033
"admission price"	0.0416652
"over @@@,@@@ tons"	0.0416309
"more than @@@,@@@ tons"	0.0414588
"bus fare"	0.0414549
crore	0.0408278
"two match points"	0.0407933
))
("about $@@" (desc 28671.3) (sims
"about $@@@"	0.333272
"about $@"	0.264808
"about $@,@@@"	0.241567
"about $@.@@"	0.239899
"about $@@,@@@"	0.235172
"about $@@@,@@@"	0.195761
"about $@@@ million"	0.171111
"about $@@ billion"	0.16684
"about $@@ million"	0.164657
"about $@.@ billion"	0.163165
"about $@@.@@"	0.156477
"hundred dollars"	0.154771
"about $@.@ million"	0.152215
"about $@ million"	0.151003
"about $@ billion"	0.147636
"nearly $@@@ million"	0.124139
"a few hundred dollars"	0.122552
"about $@@.@ billion"	0.119503
"nearly $@ billion"	0.118392
"nearly $@@"	0.115179
"a few dollars"	0.114786
"about $@@.@ million"	0.111463
dlrs	0.111432
"nearly $@@,@@@"	0.111159
"about $@.@@ billion"	0.110854
"almost $@@,@@@"	0.106297
"nearly $@@ billion"	0.105849
euros	0.105526
"about @ percent"	0.105331
"nearly $@@ million"	0.104827
"about @@@ million dollars"	0.102436
"thousand dollars"	0.0979715
"a few thousand dollars"	0.0976085
"more than @@@ million yuan"	0.0969582
"over @@@ million yuan"	0.0969099
"nearly $@ million"	0.0948681
"about $@@@ billion"	0.0939827
"million dollars"	0.0930995
"over $@@@ million"	0.0924229
"about @@ million dollars"	0.0922457
"over $@ million"	0.0922405
"about @.@ billion dollars"	0.0901563
"more than @@@,@@@ yuan"	0.0894828
cent	0.0891713
"about $@.@@ million"	0.0886382
dollar	0.0885662
"about @@ percent"	0.0876189
"two billion yuan"	0.0867414
"more than @@ billion dollars"	0.0843546
"nearly $@.@ million"	0.0836252
"nearly $@,@@@"	0.0829598
"almost $@@ million"	0.0828913
"almost $@ million"	0.0825219
"over $@,@@@"	0.0812906
ruble	0.0810791
"nearly $@@@,@@@"	0.0809534
"billion dollars"	0.0807577
"more than @@ million yuan"	0.0806418
"more than @@@ million dollars"	0.0794769
"nearly @@@ million yuan"	0.0793398
birr	0.0786442
"almost $@@@ million"	0.0783956
"over @@@ million US dollars"	0.0779665
"less than @"	0.0772708
"more than @@ million US dollars"	0.0771563
"over $@@"	0.0770637
"over $@ billion"	0.077014
reais	0.0769968
"one million yuan"	0.0763365
"one dollar"	0.075766
"over @@ billion yuan"	0.0756416
"over $@@ million"	0.0751429
"RM@,@@@"	0.0750066
"about @.@"	0.0749883
"one billion yuan"	0.074722
"million yuan"	0.0746103
"about @.@ percent"	0.0744327
"over $@@,@@@"	0.0739463
"about @ billion dollars"	0.0738924
"five billion yuan"	0.073826
"over $@@@,@@@"	0.0734721
penny	0.0734238
"one million dollars"	0.0734183
"more than @@ billion yuan"	0.0729995
"hundred thousand dollars"	0.0724405
RM@.@@	0.0724386
"over @@ million yuan"	0.0723301
billion	0.0716144
U.S.dollars	0.0715075
"about @.@@ percent"	0.0713259
pataca	0.0705943
premium	0.0703653
RM@@@	0.0689446
RM@@	0.0687781
"almost $@@@,@@@"	0.0681787
ringgit	0.0675576
"more than one billion yuan"	0.0674945
"less than @@"	0.0674369
"lower than"	0.0671697
fee	0.0671397
"over $@@@"	0.0667978
barrel	0.0662101
"almost $@ billion"	0.066102
pittance	0.0660897
"Over @@@ Million Dollars"	0.0660861
"one billion dollars"	0.0660829
"three billion yuan"	0.0658762
"U.S. Dollars"	0.065597
one-third	0.0646366
"nearly $@.@ billion"	0.0640881
"RM@@,@@@"	0.0636049
"about @@@ million US dollars"	0.0628288
"three million yuan"	0.062783
"more than @@@ million US dollars"	0.0625527
"hundred million dollars"	0.0624943
"more than @@@ billion yuan"	0.0623105
"more than @@ million dollars"	0.0622355
million	0.0618908
sum	0.0615443
"five million yuan"	0.060369
"about @@ billion dollars"	0.060122
fraction	0.0596487
"two million yuan"	0.0590984
"five percent"	0.0588655
"RM@@@,@@@"	0.0583523
discount	0.0579661
"more than @ billion dollars"	0.0576498
"billion yuan"	0.0574722
RM@@.@@	0.0573162
"three percent"	0.0572161
"nine percent"	0.0571297
monthly	0.0570801
"almost @@"	0.0570206
shekel	0.0566507
equivalent	0.056614
"nearly $@@@ billion"	0.0565033
"Zimbabwe Dollars"	0.055262
"eight percent"	0.0551812
"one percent"	0.05484
"about @@,@@@"	0.0546907
"round trip"	0.0545041
"about @@"	0.0544484
amount	0.054349
"one billion US dollars"	0.0541222
"four percent"	0.0535983
zero	0.0535902
"retail price"	0.0533547
"more than @.@ billion yuan"	0.0532256
"less than @@@"	0.0531783
"nearly @@"	0.0530918
maximum	0.0528166
ECU	0.0526173
Pound	0.0523909
"two percent"	0.0522519
buck	0.0520062
Nickel	0.0515072
kg	0.0514919
"six percent"	0.0514624
"seven percent"	0.051238
Mln	0.0509636
"percentage point"	0.0499753
extra	0.0499694
gallon	0.0496304
retail	0.0494824
"about @@ to @@"	0.0492755
"amount of money"	0.0489672
"over @@"	0.0488954
occupancy	0.0487133
minimum	0.048444
bargain	0.0483758
percent	0.048265
"about @@@"	0.0480665
"about @@@ million"	0.047805
dime	0.0477402
"more than @@"	0.0474234
"less than @.@ percent"	0.0468952
"About @,@@@"	0.0468521
"basis point"	0.0466918
"about @@ million"	0.0465186
ton	0.046447
salary	0.0462776
Sen	0.0461336
ECUs	0.0458506
tonne	0.0450814
fare	0.0450423
cash	0.0447655
"about @@@,@@@"	0.0444856
"book value"	0.043903
crore	0.0435116
"up to @@"	0.0434658
"about one-third"	0.0433917
bpd	0.043385
"more than @"	0.0430869
Tuition	0.0429301
earnings	0.0419154
hryvna	0.0411084
one-quarter	0.041033
"About @@.@ percent"	0.0410327
surcharge	0.0407287
lowest	0.0405982
))
("about $@@ billion" (desc 15173.9) (sims
"about $@.@ billion"	0.372081
"about $@ billion"	0.342749
"about $@@@ million"	0.327453
"about $@@@ billion"	0.303971
"nearly $@@ billion"	0.28933
"about $@@.@ billion"	0.288218
"about $@@ million"	0.283378
"nearly $@ billion"	0.274109
"about $@.@@ billion"	0.266905
"nearly $@@@ million"	0.246611
"nearly $@@@ billion"	0.215659
"about $@.@ million"	0.214094
"about $@ million"	0.212578
"almost $@@ billion"	0.209004
"about $@@.@ million"	0.208613
"about $@@@,@@@"	0.203874
"nearly $@.@ billion"	0.19857
"about $@.@ trillion"	0.186593
"about $@@,@@@"	0.186472
"more than @@ billion dollars"	0.180081
"about @@ billion dollars"	0.178063
"almost $@ billion"	0.177907
"two billion yuan"	0.175197
"over $@@@ million"	0.174117
"about @@@ million dollars"	0.171217
"about @.@ billion dollars"	0.17106
"billion dollars"	0.169881
"nearly $@@ million"	0.168901
billion	0.168489
"about $@@"	0.16684
"one billion yuan"	0.165982
"over $@ billion"	0.165332
"about $@@@"	0.163909
"more than @@@ million yuan"	0.16228
"nearly $@ million"	0.162228
"over @@@ million yuan"	0.159748
"more than @@ billion yuan"	0.156188
"more than @@@ million dollars"	0.155138
"about $@"	0.15352
"about $@,@@@"	0.151005
"about @@ million dollars"	0.150897
"almost $@@ million"	0.148105
"more than @@ million yuan"	0.145126
"more than one billion yuan"	0.144433
"five billion yuan"	0.144427
"more than @@@ billion yuan"	0.144348
"nearly @@@ million yuan"	0.142756
"over $@ million"	0.142474
"more than @@ billion US dollars"	0.142393
"more than @ billion dollars"	0.13993
"over @@ billion yuan"	0.137546
"three billion yuan"	0.137509
euros	0.132447
"almost $@ million"	0.132099
"about $@@.@@"	0.132021
"almost $@@@ million"	0.131795
"nearly $@.@ million"	0.131234
"over $@@ million"	0.130099
"million dollars"	0.129154
"more than @@@,@@@ yuan"	0.128263
"one billion dollars"	0.128146
"almost $@@,@@@"	0.128138
"over @@ million yuan"	0.128001
"more than @.@ billion yuan"	0.126387
"two million yuan"	0.126306
"about @ billion dollars"	0.125898
"over @@@ million US dollars"	0.124812
"six billion yuan"	0.12281
"about @ percent"	0.122464
U.S.dollars	0.121277
dollar	0.121045
"more than @@@ million US dollars"	0.120986
"billion yuan"	0.119755
"about @@@ million yuan"	0.119486
"more than @@.@ billion yuan"	0.118963
"about @@ billion yuan"	0.118924
"Over @@@ Million Dollars"	0.117551
"over @@@ billion yuan"	0.117304
"more than @@ million dollars"	0.116471
"more than @@ million US dollars"	0.11607
"more than @.@ billion dollars"	0.115491
"over @.@ billion yuan"	0.114417
"a few million dollars"	0.1138
"four billion yuan"	0.113745
"one billion US dollars"	0.113335
"nearly @@ billion yuan"	0.111102
"two billion US dollars"	0.110095
"one million yuan"	0.109818
"about $@.@@"	0.108915
"about @@@ million US dollars"	0.108723
"hundred thousand dollars"	0.10834
"nearly $@@@,@@@"	0.107861
"about @@ percent"	0.107644
"nearly $@@"	0.107101
"over $@@ billion"	0.104884
"U.S. Dollars"	0.104478
"about $@.@@ million"	0.104309
"nearly $@@,@@@"	0.103945
"thousand dollars"	0.103659
"five million yuan"	0.102354
"more than @.@ billion US dollars"	0.101836
"hundred dollars"	0.0997826
"about @.@ percent"	0.0993749
"million yuan"	0.0993741
"nearly @.@ billion yuan"	0.0989186
ruble	0.09642
penny	0.0952349
"over $@@@,@@@"	0.0947995
birr	0.0929938
million	0.0925013
"seven billion yuan"	0.0911776
"almost $@@@,@@@"	0.0909777
ringgit	0.0907952
"about one-tenth"	0.0900513
dlrs	0.0898427
one-third	0.0893613
"one million US dollars"	0.0884912
"hundred million dollars"	0.0878387
Bln	0.0852563
"a few dollars"	0.0852434
"more than @ billion yuan"	0.0847677
"RM@@@,@@@"	0.0846807
crore	0.0846073
ECU	0.0836094
ECUs	0.0823273
"nearly $@"	0.0816363
"About @@.@ percent"	0.0815447
"a few hundred dollars"	0.0815108
"another @@ million dollars"	0.0811109
pataca	0.0804191
fraction	0.0803487
"three million yuan"	0.0780801
"over @@ million US dollars"	0.0780035
"six percent"	0.0779737
"almost @@"	0.077579
"a few thousand dollars"	0.0774932
"one percent"	0.0767064
"seven percent"	0.0763476
shekel	0.0761159
"amount of money"	0.0744702
bpd	0.0744289
"five percent"	0.0743176
"trillion dollars"	0.0738286
"two percent"	0.0737749
"three percent"	0.0734602
"one million dollars"	0.0729807
"four percent"	0.0727567
"about @.@ billion US dollars"	0.0726917
sum	0.0725286
amount	0.0721681
"about @@@ million"	0.0721091
"Zimbabwe Dollars"	0.0707789
Mln	0.0703022
surplus	0.0695801
"more than @@,@@@ yuan"	0.0694213
"About @,@@@"	0.0693265
"eight percent"	0.0689473
"nine percent"	0.0689315
"about @@@,@@@"	0.0686894
"one third"	0.068679
tonne	0.0678579
"about one-third"	0.0676268
"about @@,@@@"	0.0674502
"nearly $@,@@@"	0.0670177
"about five percent"	0.0670147
one-fifth	0.0658345
"over $@@,@@@"	0.0657338
"about @@ million"	0.0650456
"one penny"	0.0648953
"about @@ million US Dollars"	0.0646762
pittance	0.0642305
"about two-thirds"	0.0639444
"RM@@,@@@"	0.0636803
"over $@@@"	0.0625355
hryvna	0.0620687
"one tenth"	0.0620479
asset	0.0617084
"small fortune"	0.0614077
"sum of money"	0.0612403
"less than @"	0.0603694
"nearly @@"	0.0603635
"over $@,@@@"	0.0598187
equivalent	0.0595907
"less than @.@ percent"	0.0590278
"about @.@@ percent"	0.0590214
one-tenth	0.0587464
RM@@@	0.0587216
billions	0.0581667
barrel	0.0581249
"currency unit"	0.0580973
"less than @@"	0.057906
percent	0.0577509
"about @.@ million"	0.0576598
"two cents"	0.0569214
"how much"	0.0564911
"more than @@"	0.0564646
"two million"	0.0562452
"one dollar"	0.0557487
"more than @@@,@@@"	0.0556007
saving	0.0555056
))
("about $@@ million" (desc 28381.6) (sims
"about $@@@ million"	0.372538
"about $@ million"	0.341222
"about $@.@ million"	0.307275
"nearly $@@ million"	0.291368
"about $@.@ billion"	0.289581
"about $@ billion"	0.289071
"about $@@@,@@@"	0.287897
"nearly $@@@ million"	0.283425
"about $@@ billion"	0.283378
"nearly $@ billion"	0.252567
"nearly $@ million"	0.233952
"about $@@,@@@"	0.23237
"about $@@.@ million"	0.222648
"nearly $@@ billion"	0.213921
"about $@,@@@"	0.203983
"about $@@@"	0.200358
"more than @@ million yuan"	0.197408
"about $@.@@ billion"	0.193054
"almost $@@ million"	0.192283
"more than @@@ million yuan"	0.192148
"over $@@@ million"	0.186608
"about $@@@ billion"	0.184579
"nearly $@.@ million"	0.184106
"about $@"	0.179559
"almost $@ million"	0.178572
"billion dollars"	0.176704
"about $@@.@ billion"	0.174018
"over @@@ million yuan"	0.173347
"over $@ million"	0.170307
"nearly $@@@,@@@"	0.168726
"about $@@"	0.164657
"more than @@ billion yuan"	0.163833
"million dollars"	0.163433
"over @@ million yuan"	0.16117
billion	0.160707
"over $@ billion"	0.158154
"over $@@ million"	0.157034
"almost $@@@ million"	0.156868
"one billion yuan"	0.155508
"nearly $@.@ billion"	0.155059
"nearly @@@ million yuan"	0.154666
"about @@ million dollars"	0.153724
"more than @@@,@@@ yuan"	0.153346
"about @@@ million dollars"	0.151277
"two billion yuan"	0.150431
"more than @@@ million dollars"	0.14967
"thousand dollars"	0.148574
"almost $@ billion"	0.146893
"about @.@ billion dollars"	0.143982
"one million yuan"	0.143262
"about $@.@@ million"	0.142792
"nearly $@@,@@@"	0.1417
"two million yuan"	0.141074
"five million yuan"	0.141027
"three billion yuan"	0.140719
"almost $@@ billion"	0.140405
"hundred thousand dollars"	0.139985
"more than @.@ billion yuan"	0.138463
"about @@@ million yuan"	0.137486
dollar	0.135591
"nearly $@@@ billion"	0.133438
"more than @@@ million US dollars"	0.132995
"five billion yuan"	0.132279
"almost $@@,@@@"	0.1307
"more than @@ billion dollars"	0.130069
"over @@@ million US dollars"	0.127142
"more than @@@ billion yuan"	0.127012
million	0.125272
"more than one billion yuan"	0.124956
"nearly @@ billion yuan"	0.124479
"more than @ billion dollars"	0.123037
dlrs	0.122501
"U.S. Dollars"	0.122405
"more than @@ million dollars"	0.121486
"almost $@@@,@@@"	0.120164
"Over @@@ Million Dollars"	0.118647
"about $@.@@"	0.118266
"more than @@ million US dollars"	0.117867
"million yuan"	0.117184
"about @ percent"	0.116629
"a few million dollars"	0.116091
"nearly @.@ billion yuan"	0.115817
"amount of money"	0.115789
"over $@@@,@@@"	0.115332
"a few hundred dollars"	0.114986
U.S.dollars	0.114774
"RM@@@,@@@"	0.114467
"more than @@.@ billion yuan"	0.113317
"more than @.@ billion dollars"	0.112084
"six billion yuan"	0.112029
"about @@ billion dollars"	0.111599
"hundred dollars"	0.111053
"three million yuan"	0.110615
sum	0.110485
"billion yuan"	0.109649
"about @ billion dollars"	0.109251
"over @@@ billion yuan"	0.108461
penny	0.107224
"hundred million dollars"	0.107098
euros	0.106729
"over @@ billion yuan"	0.104446
"one billion US dollars"	0.104275
"four billion yuan"	0.104208
"one million dollars"	0.103084
"more than @@,@@@ yuan"	0.102509
"sum of money"	0.101398
"about @@@ million US dollars"	0.100238
"a few dollars"	0.100218
"one billion dollars"	0.0995079
"about $@@.@@"	0.0994762
money	0.0994057
"more than @ billion yuan"	0.0988234
"over @.@ billion yuan"	0.0982251
"more than @.@ billion US dollars"	0.0968586
"about @@ percent"	0.0940995
"another @@ million dollars"	0.0932605
amount	0.0919304
birr	0.0913622
"about @.@ percent"	0.0912278
"more than @@ billion US dollars"	0.090523
"a few thousand dollars"	0.0902706
"nearly $@"	0.0900858
one-third	0.0896202
"one million US dollars"	0.0892291
"nearly $@,@@@"	0.0882955
pataca	0.0866153
worth	0.0865186
"two billion US dollars"	0.0855548
Mln	0.0852482
cash	0.0832362
ruble	0.0826378
"about $@.@ trillion"	0.0801582
ECU	0.0788889
"nearly $@@"	0.0787759
"five percent"	0.0784389
"RM@@,@@@"	0.0783159
ECUs	0.0782819
"three percent"	0.07774
fraction	0.0773214
crore	0.0770661
"over $@@,@@@"	0.0767688
revenue	0.0762547
fund	0.074941
"about one-tenth"	0.0747959
"over $@,@@@"	0.0732891
proceeds	0.0728595
shekel	0.0727772
"about @@ million US Dollars"	0.0727163
ringgit	0.0725812
"one dollar"	0.0723014
saving	0.0722236
"one percent"	0.069947
RM@@@	0.0697987
maximum	0.0697719
bonus	0.0694287
"one third"	0.0693775
surplus	0.0687752
"about @@,@@@"	0.068563
"eight percent"	0.0683827
hryvna	0.0681173
"small fortune"	0.0680045
payment	0.0677
windfall	0.067688
"seven percent"	0.0671452
"About @@.@ percent"	0.0670589
salary	0.0666527
"six percent"	0.0665817
premium	0.0657635
equivalent	0.0655007
funding	0.0653612
one-fifth	0.0646704
"Zimbabwe Dollars"	0.064617
bpd	0.0642002
"two percent"	0.0638292
profit	0.0632935
reduction	0.0630192
"about one-third"	0.0626044
shortfall	0.0621279
minimum	0.0620247
"how much"	0.0619387
"about @@@,@@@"	0.0614715
Bln	0.0613895
"more than @.@ percent"	0.0613456
fee	0.0611139
donation	0.0609369
"about @.@ billion US dollars"	0.0608275
spending	0.0608195
dime	0.0608107
"almost @@"	0.0606575
buck	0.0606472
pittance	0.0605256
asset	0.0603472
barrel	0.0603392
reais	0.0602216
"less than @.@ percent"	0.0601515
"over $@@@"	0.0601246
"About @,@@@"	0.0598951
"RM@,@@@"	0.0597056
investment	0.0595474
"About @@ per cent"	0.0595309
))
("about $@@,@@@" (desc 23803.2) (sims
"about $@@@,@@@"	0.327115
"about $@,@@@"	0.307279
"about $@@@"	0.292894
"about $@.@ million"	0.256231
"about $@@"	0.235172
"about $@ million"	0.233418
"about $@@ million"	0.23237
"about $@@@ million"	0.220578
"nearly $@@@,@@@"	0.21763
"nearly $@@,@@@"	0.2106
"nearly $@ million"	0.209113
"about $@"	0.203213
"nearly $@@@ million"	0.195302
"about $@.@ billion"	0.189986
"about $@@ billion"	0.186472
"thousand dollars"	0.186069
"hundred dollars"	0.183301
"nearly $@@ million"	0.182024
"about $@ billion"	0.181267
"more than @@@,@@@ yuan"	0.172669
"million dollars"	0.172287
"about $@@.@ million"	0.170636
"more than @@@ million yuan"	0.164145
"almost $@@,@@@"	0.163748
"about $@.@@"	0.16066
"almost $@ million"	0.157708
"nearly $@ billion"	0.157197
"more than @@ million yuan"	0.154821
"a few hundred dollars"	0.15302
"over $@@@,@@@"	0.152906
"over $@ million"	0.151933
"nearly $@.@ million"	0.150133
"about @@@ million dollars"	0.148917
"nearly $@@ billion"	0.148061
"hundred thousand dollars"	0.147843
"over $@@,@@@"	0.146762
"about $@.@@ billion"	0.144988
"over @@@ million yuan"	0.144601
"about $@@@ billion"	0.144262
"almost $@@ million"	0.143665
"nearly @@@ million yuan"	0.142941
dlrs	0.142587
"billion dollars"	0.137971
"about $@@.@ billion"	0.13648
"about @@@ million yuan"	0.135603
"almost $@@@,@@@"	0.13516
"over $@@@ million"	0.132484
"over @@ million yuan"	0.132191
"five million yuan"	0.129699
"over $@ billion"	0.128662
"about $@.@@ million"	0.123586
"more than @@@ million dollars"	0.122249
"almost $@@@ million"	0.120895
billion	0.120118
"more than @@ million US dollars"	0.119532
"one million yuan"	0.118248
"a few thousand dollars"	0.117405
"nearly $@,@@@"	0.117019
"more than @@ billion dollars"	0.116642
"two million yuan"	0.11645
"about @.@ billion dollars"	0.11641
"about @@ million dollars"	0.11635
"two billion yuan"	0.116206
"one billion yuan"	0.115657
"more than @@ billion yuan"	0.115305
dollar	0.113883
"more than @@,@@@ yuan"	0.113861
"about @@ billion dollars"	0.113115
"over @@@ million US dollars"	0.112253
"more than @@@ billion yuan"	0.1122
"three million yuan"	0.111745
"more than @@@ million US dollars"	0.111506
"five billion yuan"	0.110788
"over $@,@@@"	0.110618
"over $@@ million"	0.110133
"a few dollars"	0.109994
"nearly $@.@ billion"	0.109905
"about $@@.@@"	0.10889
"more than @.@ billion yuan"	0.10678
"million yuan"	0.106213
"more than @.@ billion dollars"	0.106097
"almost $@ billion"	0.105621
U.S.dollars	0.1043
"one million dollars"	0.102491
"more than @@ million dollars"	0.102429
"over @@ million US dollars"	0.101911
"more than @ billion dollars"	0.100918
"Over @@@ Million Dollars"	0.100595
million	0.100135
euros	0.0990815
"nearly @@ billion yuan"	0.09824
"about @ percent"	0.0981529
"more than one billion yuan"	0.0979477
"nearly @.@ billion yuan"	0.0978214
"three billion yuan"	0.0974491
"one million US dollars"	0.0968206
"amount of money"	0.0959372
"RM@@@,@@@"	0.0958102
"about @@ percent"	0.0953707
"one billion US dollars"	0.0948793
"over @@ billion yuan"	0.0946596
"almost $@@ billion"	0.093486
"hundred million dollars"	0.0933436
"nearly $@@"	0.0932914
sum	0.0929332
"a few million dollars"	0.092471
"over @@@ billion yuan"	0.0916271
birr	0.089689
money	0.0893526
"six billion yuan"	0.089116
"about @ billion dollars"	0.088886
"over @.@ billion yuan"	0.0887542
"U.S. Dollars"	0.0887258
"nearly $@"	0.088372
"about @.@ percent"	0.0873328
"RM@@,@@@"	0.0870888
"one billion dollars"	0.0865709
penny	0.0847809
"nearly $@@@ billion"	0.0844592
"sum of money"	0.0843118
amount	0.0836953
"RM@,@@@"	0.0829774
"about @@@ million US dollars"	0.0827373
"four billion yuan"	0.0825024
pataca	0.0815792
RM@@@	0.0810344
ruble	0.0807412
"about @@ billion yuan"	0.0801892
pittance	0.0785685
"more than @ billion yuan"	0.0780895
"more than @@ billion US dollars"	0.0775436
salary	0.0767679
one-third	0.0761427
"one dollar"	0.0742905
"Zimbabwe Dollars"	0.0738531
"billion yuan"	0.0736451
cent	0.0732843
shekel	0.0729657
"more than @.@ billion US dollars"	0.0720607
income	0.0713428
"more than @@.@ billion yuan"	0.0710584
"two billion US dollars"	0.0706467
RM@@	0.0700862
"over $@@@"	0.0696099
"about @@ million US Dollars"	0.0693714
"small fortune"	0.0693372
ECU	0.0678937
"nine percent"	0.0673486
ringgit	0.0673366
fraction	0.0671299
monthly	0.0669238
"over $@@"	0.0668364
fee	0.0667894
crore	0.0655792
saving	0.0653463
"two percent"	0.0653181
"about one-tenth"	0.0652699
equivalent	0.0643743
cash	0.0641839
"seven percent"	0.0640244
bonus	0.0629469
"five percent"	0.0625655
premium	0.0624043
buck	0.0623012
wage	0.0621725
"About @@.@ percent"	0.0619294
"three percent"	0.0618488
maximum	0.0617805
"about @.@@ percent"	0.0611861
"eight percent"	0.061033
pension	0.0605397
dime	0.0604466
donation	0.0600591
payment	0.0598281
minimum	0.0585507
"one percent"	0.0583713
hryvna	0.057965
Tuition	0.0576699
dividend	0.0573558
"six percent"	0.0573093
"one penny"	0.0570046
expense	0.056636
ECUs	0.0557586
zero	0.0557324
contribution	0.0537695
"how much"	0.0537211
"about $@.@ trillion"	0.0535823
"about @@@ million"	0.0535344
royalty	0.0534121
"about one-third"	0.0531455
"less than @@@"	0.0521899
kg	0.0520238
Mln	0.0518213
monies	0.051817
deduction	0.0510335
"four percent"	0.0507287
"lower than"	0.050716
"about @@ to @@"	0.0504618
ton	0.0502937
"almost @@"	0.0501635
))
("about $@@.@ billion" (desc 2730.41) (sims
"about $@.@@ billion"	0.417513
"about $@@ billion"	0.288218
"nearly $@.@ billion"	0.283457
"almost $@@ billion"	0.271562
"about $@.@ billion"	0.257426
"nearly $@@ billion"	0.255396
"more than @@ billion dollars"	0.242163
"about $@@.@ million"	0.234957
"about $@ billion"	0.234954
"about $@@@ billion"	0.218164
"almost $@ billion"	0.217761
"nearly $@ billion"	0.20677
"about $@@@ million"	0.205569
"over $@ billion"	0.202371
"nearly $@@@ million"	0.201109
"over @@@ billion yuan"	0.191594
"almost $@@@ million"	0.188777
"seven billion yuan"	0.182687
"about $@@ million"	0.174018
"over $@@@ million"	0.173601
"over @@@ million yuan"	0.170371
"two billion yuan"	0.169354
"more than @@@ billion yuan"	0.169161
"nearly $@@@ billion"	0.167917
"about $@@.@@"	0.165269
"over @@ billion yuan"	0.161831
"more than one billion yuan"	0.161792
"more than @@@ million dollars"	0.160652
"more than @@@ million yuan"	0.158341
"more than @.@ billion yuan"	0.156495
"over @.@ billion yuan"	0.156335
"six billion yuan"	0.156143
"five billion yuan"	0.15512
"more than @@.@ billion yuan"	0.154566
"almost $@@,@@@"	0.15429
"one billion yuan"	0.153233
"nearly $@@"	0.15261
"about @@@ million US dollars"	0.151986
"one billion dollars"	0.150143
"about @@@ million yuan"	0.14832
"about $@.@ million"	0.147537
"about @ billion dollars"	0.146946
"more than @@ million yuan"	0.14468
"four billion yuan"	0.14209
"about $@ million"	0.140105
"nearly @@ billion yuan"	0.138711
"about $@@,@@@"	0.13648
"over @@@ million US dollars"	0.136194
"three billion yuan"	0.135931
"one billion US dollars"	0.135841
"nearly @.@ billion yuan"	0.13426
"more than @@ billion yuan"	0.130193
"about @@@ million dollars"	0.127789
"over @@ million yuan"	0.127213
"more than @.@ billion dollars"	0.126743
"nearly $@"	0.125114
"more than @ billion dollars"	0.124414
"about @.@ billion dollars"	0.123933
"more than @ billion yuan"	0.123829
"billion dollars"	0.123824
"more than @@ million US dollars"	0.123247
"more than @@@,@@@ yuan"	0.12297
"about $@@@,@@@"	0.122951
"over $@@ billion"	0.122259
"nearly $@@ million"	0.121539
"more than @@ billion US dollars"	0.121279
"more than @@ million dollars"	0.119743
"about $@@"	0.119503
"nearly @@@ million yuan"	0.119258
"over $@@ million"	0.11916
"about @@ million dollars"	0.117294
"about $@,@@@"	0.117222
"two million yuan"	0.11582
"more than @.@ billion US dollars"	0.115663
"about @@ billion yuan"	0.115152
"almost $@@ million"	0.11451
"over $@ million"	0.114133
euros	0.113684
"about @.@ billion US dollars"	0.113122
"two billion US dollars"	0.112448
"hundred million dollars"	0.112214
"nearly $@.@ million"	0.11032
"nearly $@ million"	0.109463
"thousand dollars"	0.109118
"more than @@@ million US dollars"	0.10888
"about $@.@ trillion"	0.108474
"about @@ billion dollars"	0.107842
"a few million dollars"	0.106535
"million yuan"	0.103259
"about $@.@@ million"	0.102734
"about $@@@"	0.102627
"billion yuan"	0.101706
"almost $@@@,@@@"	0.101548
"nearly $@,@@@"	0.101261
billion	0.100163
"about $@"	0.0982211
"million dollars"	0.0954062
"almost $@ million"	0.0936935
"three million yuan"	0.0923982
"over @@ million US dollars"	0.0915003
"one million yuan"	0.0896403
"over $@@@,@@@"	0.0860431
"over $@@@"	0.0859422
reais	0.0835696
"hundred dollars"	0.0835539
U.S.dollars	0.0821957
"Over @@@ Million Dollars"	0.0819292
"about @@@ million"	0.0818663
"a few thousand dollars"	0.0818641
"hundred thousand dollars"	0.081402
"about $@.@@"	0.0796943
"five million yuan"	0.078833
"small fortune"	0.0780515
"another @@ million dollars"	0.0771983
"nearly $@@@,@@@"	0.0765751
"trillion dollars"	0.0763542
"one million US dollars"	0.0725147
"U.S. Dollars"	0.0709624
ringgit	0.0693398
pataca	0.0686875
tenge	0.0684255
ruble	0.0672147
Mln	0.0668884
"currency unit"	0.0663775
ECUs	0.0660377
"about @@.@ million dollars"	0.0650877
"less than @.@ percent"	0.0650475
pittance	0.0649197
ECU	0.0645606
Bln	0.0643256
"nearly $@@,@@@"	0.0629108
"investor interest"	0.0628916
"more than @@,@@@ yuan"	0.0619658
"about @@ million US Dollars"	0.06171
hryvna	0.0603749
"over $@,@@@"	0.0602409
franc	0.0597637
"about @.@@ billion dollars"	0.0586611
"one million dollars"	0.0586408
shekel	0.0583409
birr	0.0583364
crore	0.0574739
"a few hundred dollars"	0.0573755
weightings	0.0563039
metical	0.0561149
"about @.@ million dollars"	0.056106
"about one-tenth"	0.0541777
"nearly @@ million"	0.0540018
"RM@@,@@@"	0.0534072
"more than @@ million"	0.0532348
"about @@ million"	0.0520003
"one penny"	0.0514227
"three million tons"	0.05131
"more than @ million tons"	0.0511181
"RM@@@,@@@"	0.0505834
"Zimbabwe Dollars"	0.0499333
"Uganda Shillings"	0.0497561
"about @.@ million"	0.0494568
"nearly one-third"	0.0486588
"more than @@@,@@@ tons"	0.0485706
"about @@@,@@@ dollars"	0.0478335
RM@@@	0.0477926
"Exchange Fund"	0.047641
"a few dollars"	0.0469961
"less than @"	0.0469048
"one million tons"	0.0456024
"million tons"	0.0447494
"Tanzania Shillings"	0.0440855
"more than @@ million tons"	0.042858
"New York Film Festival"	0.0426735
Avonex	0.0425591
RM@.@@	0.0425354
"three percent"	0.0423419
"Deutsche Mark"	0.0422794
"over $@@,@@@"	0.0422043
"less than one percent"	0.0417352
drawdown	0.0414795
"RM@,@@@"	0.041093
"Zambia Consolidated Copper Mines"	0.0410258
"elephant population"	0.0408676
"six percent"	0.0408547
"about @.@ percent"	0.0403476
mw	0.0401912
"About @@.@ percent"	0.0400715
))
("about $@@.@ million" (desc 3243.53) (sims
"about $@.@@ billion"	0.269281
"about $@@.@ billion"	0.234957
"about $@@ million"	0.222648
"nearly $@@@ million"	0.220521
"about $@.@ billion"	0.218093
"about $@.@ million"	0.211434
"about $@@ billion"	0.208613
"about $@@@ million"	0.204735
"about $@ million"	0.204599
"over $@@ million"	0.20377
"nearly $@.@ million"	0.199761
"almost $@ million"	0.199605
"over $@ billion"	0.199053
"nearly $@@ billion"	0.197686
"nearly $@@ million"	0.196973
"nearly $@ billion"	0.196311
"about $@@@,@@@"	0.195532
"almost $@@ billion"	0.186931
"nearly $@ million"	0.184767
"over $@@@ million"	0.182018
"almost $@@@ million"	0.180445
"about $@ billion"	0.179443
"almost $@ billion"	0.171995
"more than @@ billion dollars"	0.170726
"about $@@,@@@"	0.170636
"about $@.@@ million"	0.168036
"more than @@@,@@@ yuan"	0.166555
"almost $@@ million"	0.166415
"more than @@@ million yuan"	0.161569
"over @@@ million yuan"	0.156992
"nearly $@.@ billion"	0.156936
"nearly @@@ million yuan"	0.156889
"almost $@@,@@@"	0.155957
"nearly @.@ billion yuan"	0.153763
"over $@ million"	0.152976
"more than @@@ million dollars"	0.152286
"almost $@@@,@@@"	0.151287
"thousand dollars"	0.146901
"more than @@ million US dollars"	0.143946
"about $@@@ billion"	0.143894
"Over @@@ Million Dollars"	0.143149
"more than @@ million yuan"	0.142196
"nearly $@@@,@@@"	0.141251
"more than @.@ billion dollars"	0.141182
"about $@"	0.139699
"about $@,@@@"	0.139099
"nearly @@ billion yuan"	0.138902
"a few million dollars"	0.133759
"million dollars"	0.131967
"over $@@@,@@@"	0.130173
"about $@.@ trillion"	0.129941
"nearly $@@,@@@"	0.129531
"more than @.@ billion yuan"	0.124608
"about @@@ million yuan"	0.122267
"nearly $@@@ billion"	0.120269
"about @@ million dollars"	0.11961
"five billion yuan"	0.119383
"about @@@ million dollars"	0.118439
"over $@,@@@"	0.117047
"nearly $@,@@@"	0.115512
"about $@@@"	0.115146
"billion dollars"	0.113869
"about $@@.@@"	0.113478
"about $@@"	0.111463
"more than one billion yuan"	0.109382
"nearly $@"	0.109353
"hundred thousand dollars"	0.109336
"nearly $@@"	0.108886
"over @@@ billion yuan"	0.108396
"two million yuan"	0.108341
"hundred million dollars"	0.107597
"about @.@ billion dollars"	0.107153
"more than @ billion yuan"	0.106756
"over $@@ billion"	0.106337
"over @@@ million US dollars"	0.105946
"more than @@ billion US dollars"	0.104724
"hundred dollars"	0.103863
"more than @@,@@@ yuan"	0.103658
"a few thousand dollars"	0.102074
"over @@ million yuan"	0.101566
"more than @@@ million US dollars"	0.101215
"about @@@ million US dollars"	0.100139
"five million yuan"	0.0995973
"one billion yuan"	0.0991184
"one million yuan"	0.09585
"more than @@@ billion yuan"	0.0957024
"over @@ billion yuan"	0.095145
"about @@ billion dollars"	0.0951108
"more than @@ million dollars"	0.0950621
billion	0.0946325
"more than @@.@ billion yuan"	0.0937991
"more than @ billion dollars"	0.0916267
"seven billion yuan"	0.0913932
"six billion yuan"	0.0909426
"two billion yuan"	0.0907146
"ransom money"	0.0902651
"over $@@@"	0.0890635
"three billion yuan"	0.088744
"million yuan"	0.0883448
"over @.@ billion yuan"	0.0877809
"one billion dollars"	0.0868058
"one million dollars"	0.0861357
"one billion US dollars"	0.0853927
"more than @@ billion yuan"	0.0844078
"about @@ billion yuan"	0.084029
"RM@@,@@@"	0.0838599
"about @ billion dollars"	0.0838315
pittance	0.0825839
birr	0.0824993
"four billion yuan"	0.0820331
"RM@@@,@@@"	0.0819018
"over @@ million US dollars"	0.0799038
"about $@.@@"	0.0782335
euros	0.07653
"over $@@,@@@"	0.0756714
"one million US dollars"	0.0746618
"small fortune"	0.0739797
U.S.dollars	0.0738853
"Zimbabwe Dollars"	0.0738786
"three million yuan"	0.0731592
penny	0.0715075
monies	0.069493
"billion yuan"	0.0693251
ECU	0.0689889
pataca	0.0680244
"about @@@,@@@ dollars"	0.0679402
ECUs	0.0676607
"sum of money"	0.0663674
"more than @.@ billion US dollars"	0.0662862
"about @ percent"	0.0646675
billions	0.0634336
"U.S. Dollars"	0.0624471
"amount of money"	0.0620636
Mln	0.0609603
"another @@ million dollars"	0.0597493
"currency unit"	0.0596121
RM@@@	0.0581976
shekel	0.0575483
ruble	0.0562306
"a few hundred dollars"	0.0561406
"a few dollars"	0.0559949
"Uganda Shillings"	0.0553656
ringgit	0.0549311
"tax revenue"	0.0549192
"over $@@"	0.0544814
"about @@ million US Dollars"	0.0533439
VND	0.0525813
"about @.@ million dollars"	0.0524015
"about three percent"	0.0522166
dividend	0.0520149
windfall	0.0513864
crore	0.0505671
"speeding ticket"	0.0495708
"Tanzania Shillings"	0.0495537
"admission fee"	0.0490185
wage-earner	0.0490039
Bln	0.0486567
"earning per share"	0.0481989
B.S	0.0479029
"million tons"	0.0474838
"profit sharing"	0.0471926
hryvna	0.0467434
"one dollar"	0.046697
"tax income"	0.0465148
"over @@ million tons"	0.0463772
"about three times"	0.0461245
"Deutsche Mark"	0.0453937
"two billion US dollars"	0.0451952
hryvnas	0.044679
"about @.@ percent"	0.0444208
"less than @.@ percent"	0.0439615
"about @@.@ million dollars"	0.0439062
"about @.@@ billion dollars"	0.0436365
"barrels per day"	0.0436124
metical	0.0435457
"parking ticket"	0.0434349
"death benefit"	0.0433708
"About @@.@ percent"	0.0433084
"one percent"	0.0431242
"prize money"	0.0428102
"net income"	0.0426909
Nickel	0.0426863
"about @@ points"	0.042343
"more than @@@,@@@ tons"	0.0421313
"living wage"	0.0419615
dime	0.0419039
"management fee"	0.0412438
"wage earner"	0.0411629
"wasting away"	0.0408735
"more than five times"	0.0408496
"about @@ pounds"	0.0408353
knighthood	0.0407741
"about @.@ million"	0.0406354
"one penny"	0.040357
"about @.@ billion US dollars"	0.0403269
"legal fee"	0.0401434
))
("about $@@.@@" (desc 2079.54) (sims
"about $@.@@"	0.237091
"about $@@.@ billion"	0.165269
"about $@@"	0.156477
"about $@.@@ million"	0.154925
"about $@.@ billion"	0.148828
"about $@.@@ billion"	0.141882
"about $@"	0.137671
"about $@@ billion"	0.132021
"about $@.@ million"	0.124834
"hundred dollars"	0.120498
"over $@,@@@"	0.117969
"about $@,@@@"	0.117301
"about $@@@ billion"	0.11654
"nearly $@@@ million"	0.116398
"Over @@@ Million Dollars"	0.116264
"about $@@.@ million"	0.113478
"about $@@,@@@"	0.10889
"about $@@@"	0.107915
"about $@@@ million"	0.104765
"about $@ million"	0.103735
"about $@@ million"	0.0994762
"almost $@@,@@@"	0.096756
"about $@@@,@@@"	0.0966084
"over $@ million"	0.0957946
"thousand dollars"	0.0907896
"nearly $@@ billion"	0.0902117
"a few thousand dollars"	0.0900438
"about $@ billion"	0.0896265
"over $@@@ million"	0.0884665
billions	0.0876805
"nearly $@,@@@"	0.0853616
"nearly $@ million"	0.0836628
"nearly $@ billion"	0.083458
"nearly $@@ million"	0.0834235
"more than @@ billion dollars"	0.0825143
"nearly $@"	0.0825071
euros	0.0819913
"about @@ million dollars"	0.0803442
"about @@@ million dollars"	0.0780032
"over $@@@"	0.0768502
"a few hundred dollars"	0.0756678
"almost $@ million"	0.0746543
"more than @@@ million dollars"	0.0740143
"about one-tenth"	0.0731611
co-payment	0.0724827
"over @@@ million yuan"	0.0713857
"over $@@"	0.0712802
"nearly $@@"	0.0696635
"about @@@ million US dollars"	0.0694326
"a few dollars"	0.0689709
"tender offer"	0.0687984
"more than @@@,@@@ yuan"	0.0668371
"nearly $@@,@@@"	0.0659717
ECU	0.0658986
birr	0.065784
"over $@ billion"	0.0647052
"almost $@@@,@@@"	0.0645119
"over @@@ billion yuan"	0.0645048
"one billion yuan"	0.0637105
"more than @@ yards"	0.0627638
"over $@@@,@@@"	0.0626797
pittance	0.0614657
"over $@@,@@@"	0.0613214
"more than @@ million US dollars"	0.0612958
"hundred million dollars"	0.0605651
"small fortune"	0.0605034
"over $@@ million"	0.0603738
RM@@.@@	0.0595292
"more than @@.@ billion yuan"	0.0587529
"over @@ million yuan"	0.0584539
RM@@	0.0573183
"more than @@@ million yuan"	0.0568402
"nearly $@.@ million"	0.0559701
"over @@ billion yuan"	0.055756
"nearly @@ billion yuan"	0.0555237
"more than @@ million yuan"	0.0553346
"book value"	0.0553161
"one million yuan"	0.0544098
"over $@@ billion"	0.0540195
franc	0.0536115
"admission price"	0.0530907
"about @.@"	0.0530292
"three million yuan"	0.0529614
"about @@@ million yuan"	0.0527541
"licensing fee"	0.0523208
"over @@@ million US dollars"	0.0521899
"RM@@,@@@"	0.0521121
"almost $@@ million"	0.0519865
"million yuan"	0.0518045
RM@.@@	0.0518023
"over @@ million US dollars"	0.0511305
"nearly $@@@,@@@"	0.0507065
"almost $@@ billion"	0.0506192
"million dollars"	0.0504878
receipts	0.0501813
non-issue	0.0500734
"one million US dollars"	0.0500401
VND	0.0494854
"one million dollars"	0.0491243
"about @.@@ percent"	0.048661
shekel	0.0486301
"about @@@ pounds"	0.0484552
kwanza	0.0482822
"more than one billion yuan"	0.0479624
metical	0.0479418
"about @@.@ million dollars"	0.0477562
lakh	0.0476253
wrecker	0.0474855
"parking ticket"	0.0471694
"more than @ billion yuan"	0.0467427
ECUs	0.0467321
Requests	0.0467104
"over @.@ billion yuan"	0.0459235
meticais	0.0458427
"nearly @@@ million yuan"	0.0458114
"almost $@ billion"	0.0455351
"purchase price"	0.0455194
"about @ billion dollars"	0.0449343
"admission fee"	0.0446471
"asking price"	0.0445364
"almost $@@@ million"	0.0434128
one-tenth	0.0432461
"hundred thousand dollars"	0.043104
"round trip"	0.0431032
"two billion yuan"	0.0431031
"more than @@@,@@@ tons"	0.0430752
"five billion yuan"	0.0430183
repeating	0.0429894
"more than @@@ yards"	0.0429155
"about @@ billion yuan"	0.0428271
weightings	0.0427525
"Uganda Shillings"	0.0427238
"user fee"	0.0425502
"service charge"	0.0424578
Bln	0.0423464
remembering	0.0422882
"about @@ points"	0.0422503
disincentive	0.0422175
"eight cents"	0.0420123
"RM@,@@@"	0.0419239
"less than @.@ percent"	0.0418924
"determining factor"	0.0418843
"less than one percent"	0.0418745
occupancy	0.0418023
"retail price"	0.0416108
typo	0.0411718
"more than @@,@@@ yuan"	0.041057
"Tanzania Shillings"	0.040866
gratuity	0.0406857
))
("about $@@@" (desc 26079.5) (sims
"about $@,@@@"	0.335402
"about $@@"	0.333272
"about $@@,@@@"	0.292894
"about $@"	0.245856
"about $@@@,@@@"	0.227875
"about $@@ million"	0.200358
"about $@.@@"	0.198135
"about $@@@ million"	0.191462
"about $@ million"	0.186592
"about $@.@ million"	0.182176
"hundred dollars"	0.182062
"about $@.@ billion"	0.17639
"about $@ billion"	0.165252
"about $@@ billion"	0.163909
"a few hundred dollars"	0.160223
"nearly $@@@ million"	0.158717
"nearly $@ billion"	0.151206
"thousand dollars"	0.141682
"nearly $@@ million"	0.137662
dlrs	0.135088
"nearly $@@@,@@@"	0.132376
"nearly $@ million"	0.13044
"more than @@@ million yuan"	0.127035
"almost $@@,@@@"	0.126783
"a few dollars"	0.124914
"nearly $@@,@@@"	0.124407
"nearly $@@ billion"	0.120735
"million dollars"	0.120237
"over @@@ million yuan"	0.118801
"about $@@@ billion"	0.118714
"more than @@@,@@@ yuan"	0.115697
"about $@@.@ million"	0.115146
"almost $@ million"	0.114768
"nearly $@.@ million"	0.113418
"more than @@@ million dollars"	0.112776
"over $@ million"	0.111618
"about @@@ million dollars"	0.110706
"hundred thousand dollars"	0.109836
"about $@@.@@"	0.107915
"billion dollars"	0.107382
"almost $@@ million"	0.105017
"more than @@ million US dollars"	0.104864
"nearly @@@ million yuan"	0.102837
"about $@@.@ billion"	0.102627
"more than @@ billion yuan"	0.101839
"nearly $@,@@@"	0.10168
"more than @@ million yuan"	0.101286
"over $@ billion"	0.100863
"almost $@@@ million"	0.100701
billion	0.100508
"about $@.@@ billion"	0.0990085
"over $@@@,@@@"	0.0988383
"two billion yuan"	0.0986831
"about @@ million dollars"	0.0982724
"about $@.@@ million"	0.0982083
"five billion yuan"	0.0966735
"over $@@@ million"	0.0964171
dollar	0.0954178
"over $@@,@@@"	0.0949465
"over @@@ million US dollars"	0.0937872
"one million yuan"	0.0936102
"about @@ percent"	0.0935107
"about @ percent"	0.0930939
"more than @@ billion dollars"	0.0910655
"more than @@@ billion yuan"	0.0909719
penny	0.0905269
"over $@,@@@"	0.0904049
"over @@ million yuan"	0.0901158
"about @@@ million yuan"	0.0900534
"three billion yuan"	0.08985
"five million yuan"	0.0898344
"more than @@@ million US dollars"	0.0893739
"almost $@ billion"	0.0890612
"nearly $@@"	0.0886451
euros	0.0882064
"over $@@ million"	0.0881822
"RM@@@,@@@"	0.0877071
"more than @@,@@@ yuan"	0.0873806
"about @.@ billion dollars"	0.0871845
"a few thousand dollars"	0.0859318
"nearly $@@@ billion"	0.0858012
"more than @ billion dollars"	0.0857909
"Over @@@ Million Dollars"	0.0855131
"about @.@ percent"	0.0853098
"one billion yuan"	0.08492
"one dollar"	0.0837815
ruble	0.0836643
"more than @@ million dollars"	0.0833765
"over @@ billion yuan"	0.0827488
"nearly @.@ billion yuan"	0.0826656
"million yuan"	0.0824603
"RM@,@@@"	0.0823669
"nearly @@ billion yuan"	0.0823582
"one million dollars"	0.0823479
"nearly $@.@ billion"	0.0821502
"more than @.@ billion yuan"	0.0820244
"over $@@@"	0.0813135
cent	0.0806672
"about @@ billion dollars"	0.0804556
U.S.dollars	0.0801365
"a few million dollars"	0.0798215
"about @ billion dollars"	0.0793203
"about @.@@ percent"	0.0784919
million	0.0780235
"almost $@@@,@@@"	0.07795
"two million yuan"	0.0771824
birr	0.0769669
pataca	0.0767206
"six billion yuan"	0.0761584
one-third	0.0756759
"RM@@,@@@"	0.0751896
"three million yuan"	0.0739992
"about @@@ million US dollars"	0.0733759
RM@@@	0.0731961
sum	0.0727435
"more than one billion yuan"	0.0725377
"one billion US dollars"	0.0722838
"about @@ billion yuan"	0.0719736
"over $@@"	0.0716523
"five percent"	0.0715899
monthly	0.071579
shekel	0.0711438
"one billion dollars"	0.0701817
"one million US dollars"	0.0697282
pittance	0.0697111
"hundred million dollars"	0.0687333
fee	0.068705
"billion yuan"	0.0685733
"Zimbabwe Dollars"	0.0682894
"about @.@"	0.0681748
amount	0.0680429
reais	0.0672431
"more than @.@ billion dollars"	0.0660841
"three percent"	0.0655633
"nine percent"	0.0651535
"almost @@"	0.064813
RM@.@@	0.0645951
"seven percent"	0.0643938
"one percent"	0.0640645
equivalent	0.0634174
"sum of money"	0.0633588
"amount of money"	0.063312
"four billion yuan"	0.0632572
fraction	0.0627853
"round trip"	0.0622835
ringgit	0.0621544
"U.S. Dollars"	0.0615573
RM@@	0.0600118
"less than @"	0.0598263
barrel	0.0597778
"six percent"	0.0596588
premium	0.0592816
"two percent"	0.0590298
buck	0.0590203
"more than @@ billion US dollars"	0.0583964
bpd	0.0581848
"eight percent"	0.0581652
minimum	0.0569464
"about @@ million US Dollars"	0.0563357
dime	0.0556828
"nearly @@"	0.0554707
"lower than"	0.055317
occupancy	0.0552073
"four percent"	0.0551301
"less than @.@ percent"	0.0550954
"one third"	0.0539437
maximum	0.0537602
salary	0.0532914
kg	0.0531694
"About @@.@ percent"	0.0529763
"less than @@"	0.0527976
saving	0.0525044
"roughly @@"	0.0522872
"about @@,@@@"	0.0519649
ton	0.0518667
income	0.051633
"more than @@"	0.0514461
"percentage point"	0.0510889
discount	0.0510737
ECU	0.0510706
extra	0.0508088
crore	0.0504086
Nickel	0.0503624
Tuition	0.0502417
"about one-third"	0.0502019
"about @@"	0.0500496
"About @,@@@"	0.0497915
Mln	0.0494741
refund	0.0494673
pension	0.0493221
"about @@@"	0.0491554
wage	0.0491048
allowance	0.0488224
bonus	0.0487512
"less than @@@"	0.0484897
"about @@@,@@@"	0.0484086
"more than @"	0.0483326
"about @@ to @@"	0.0480166
ECUs	0.0480158
gallon	0.0479742
))
("about $@@@ billion" (desc 6908.99) (sims
"nearly $@@@ billion"	0.347296
"about $@@ billion"	0.303971
"about $@.@ trillion"	0.301625
"about $@ billion"	0.261779
"about $@.@ billion"	0.254063
"nearly $@@ billion"	0.241824
"nearly $@@@ million"	0.239191
"over $@ billion"	0.220899
"about $@@@ million"	0.219638
"nearly $@ billion"	0.219101
"about $@@.@ billion"	0.218164
"nearly $@.@ billion"	0.212288
"about $@.@@ billion"	0.204317
"more than @@ billion dollars"	0.197578
"almost $@@ billion"	0.197352
"over $@@@ million"	0.188019
"five billion yuan"	0.184632
"about $@@ million"	0.184579
"more than @@@ million yuan"	0.182785
"more than @@@ million dollars"	0.180024
"nearly @@@ million yuan"	0.178891
"one billion yuan"	0.175116
"more than @@ million yuan"	0.172708
"more than @@ billion US dollars"	0.17086
"about $@ million"	0.166618
"over @@@ million yuan"	0.165238
"over @@@ billion yuan"	0.163454
"almost $@@@ million"	0.162899
"three billion yuan"	0.161693
"about $@.@ million"	0.159675
"more than one billion yuan"	0.158133
"almost $@ billion"	0.15696
"about @@ million dollars"	0.155765
"nearly $@ million"	0.154374
"almost $@@ million"	0.154229
"more than @ billion dollars"	0.154142
"billion dollars"	0.152846
"about @@ billion dollars"	0.152711
"about @.@ billion dollars"	0.151895
"about $@@@,@@@"	0.150679
"more than @@@ million US dollars"	0.14975
"about @@ billion yuan"	0.147998
"nearly $@@ million"	0.146695
"two billion yuan"	0.145878
"more than @@ billion yuan"	0.145874
"more than @.@ billion dollars"	0.144296
"about $@@,@@@"	0.144262
"about $@@.@ million"	0.143894
"almost $@@,@@@"	0.14305
"more than @@@ billion yuan"	0.142131
"two million yuan"	0.141878
"more than @@@,@@@ yuan"	0.14089
"more than @.@ billion yuan"	0.140838
"over @@ billion yuan"	0.139088
"billion yuan"	0.137852
"over $@@ million"	0.134852
"more than @ billion yuan"	0.134083
"four billion yuan"	0.133408
"about @@@ million yuan"	0.132847
"a few million dollars"	0.13209
"about @@@ million dollars"	0.131777
"thousand dollars"	0.129162
"million yuan"	0.128403
billion	0.128283
"one billion dollars"	0.12826
"over @@@ million US dollars"	0.128208
"trillion dollars"	0.127587
"nearly $@.@ million"	0.127208
"more than @@ million US dollars"	0.126885
"almost $@ million"	0.126759
"Over @@@ Million Dollars"	0.126675
"one million yuan"	0.124007
"over @.@ billion yuan"	0.123962
"six billion yuan"	0.123347
"more than @.@ billion US dollars"	0.123258
"over @@ million yuan"	0.122912
"more than @@ million dollars"	0.121828
"about $@@@"	0.118714
"one billion US dollars"	0.117782
"million dollars"	0.117504
"about @@@ million US dollars"	0.117063
"about $@@.@@"	0.11654
"nearly $@@@,@@@"	0.116404
"about $@,@@@"	0.115515
"seven billion yuan"	0.115383
"nearly @@ billion yuan"	0.115071
"two billion US dollars"	0.114056
"over $@ million"	0.112975
"over $@@ billion"	0.111658
"nearly $@,@@@"	0.109887
"five million yuan"	0.108068
"one million US dollars"	0.1064
"almost $@@@,@@@"	0.104522
"nearly @.@ billion yuan"	0.103866
"about @ billion dollars"	0.103654
"hundred thousand dollars"	0.102618
"over @@ million US dollars"	0.102527
euros	0.100529
"hundred million dollars"	0.100053
ECU	0.09986
"one million dollars"	0.0996362
"three million yuan"	0.0995996
"nearly $@@,@@@"	0.0956644
"about $@@"	0.0939827
"one penny"	0.0937822
"hundred dollars"	0.0937247
"a few hundred dollars"	0.0936085
"about $@.@@ million"	0.0927287
"another @@ million dollars"	0.0926139
crore	0.0916812
U.S.dollars	0.0911654
"about @ percent"	0.0891666
"more than @@.@ billion yuan"	0.088108
"nearly $@"	0.0878503
"about $@"	0.087209
"more than @@,@@@ yuan"	0.0856925
"over $@@@,@@@"	0.0855852
"nearly $@@"	0.0851462
surplus	0.0838474
ECUs	0.0834418
"U.S. Dollars"	0.0806182
one-third	0.0796959
ringgit	0.0785901
"about @.@ billion US dollars"	0.0783585
"about one-tenth"	0.0772091
"RM@@@,@@@"	0.0767357
shekel	0.0764965
penny	0.0744504
"about @.@ million dollars"	0.0729614
"about @@ million US Dollars"	0.0728889
"a few dollars"	0.0728211
pataca	0.0723196
birr	0.0712483
"about @.@ percent"	0.0710525
"a few thousand dollars"	0.0701273
one-fifth	0.0695925
hryvna	0.066082
"small fortune"	0.0651302
"RM@@,@@@"	0.0648649
"amount of money"	0.063874
"less than @.@ percent"	0.0626316
"About @@.@ percent"	0.0619444
"Zimbabwe Dollars"	0.0619306
"about @@@ million"	0.0617683
trillion	0.0615968
"Deutsche Mark"	0.0601656
"about $@.@@"	0.0598634
"about one-third"	0.0597269
tenge	0.059414
"three percent"	0.059394
"Exchange Fund"	0.0576637
RM@@@	0.0576361
sum	0.0575455
"nearly one-third"	0.0574402
"one million tons"	0.0567804
"two percent"	0.0565701
"almost one-third"	0.0564428
"about five percent"	0.0560168
fraction	0.0559284
"more than @.@ percent"	0.0558864
windfall	0.0556858
ruble	0.0554561
monies	0.0552849
"about two-thirds"	0.0548479
"over $@@,@@@"	0.0544782
"one third"	0.0544764
"About @@ per cent"	0.0539967
"RM@,@@@"	0.0532367
"Twenty-five percent"	0.0517263
"about @@.@ million dollars"	0.0515058
"about @@ million"	0.0510224
"more than five times"	0.0509256
"currency unit"	0.05072
"more than three times"	0.0498537
bulk	0.0496068
"five percent"	0.0495803
"eight percent"	0.0489144
"tax increase"	0.0488508
Bln	0.0484632
"over $@@"	0.048168
"almost two-thirds"	0.0481267
"about one-fifth"	0.0479264
dime	0.0479153
"over $@@@"	0.0477322
"billion over @@ years"	0.0476985
"one percent"	0.0475943
"tax revenue"	0.0475261
outlay	0.0474686
two-thirds	0.0471343
"sum of money"	0.0471012
"blank check"	0.0466011
"price change"	0.0463899
"nearly two-thirds"	0.0463213
"about @@ points"	0.0462188
"book value"	0.0461622
"about one-fourth"	0.0460233
one-seventh	0.0458641
one-sixth	0.045376
Mln	0.045303
"nine percent"	0.0447674
))
("about $@@@ million" (desc 29526.4) (sims
"about $@@ million"	0.372538
"about $@.@ billion"	0.352493
"about $@ billion"	0.330217
"about $@@ billion"	0.327453
"nearly $@@@ million"	0.292317
"nearly $@ billion"	0.285904
"about $@ million"	0.273891
"about $@@@,@@@"	0.249121
"about $@.@ million"	0.240458
"nearly $@@ billion"	0.227743
"nearly $@@ million"	0.225159
"about $@@,@@@"	0.220578
"about $@@@ billion"	0.219638
"about $@.@@ billion"	0.209124
"about $@@.@ billion"	0.205569
"about $@@.@ million"	0.204735
"nearly $@ million"	0.194223
"about $@@@"	0.191462
"about $@,@@@"	0.189901
"more than @@@ million yuan"	0.186473
"over $@ billion"	0.178762
"more than @@ million yuan"	0.176796
"one billion yuan"	0.173705
"about $@"	0.172516
"over $@@@ million"	0.171983
"about @@@ million dollars"	0.171431
"about $@@"	0.171111
"nearly $@.@ billion"	0.171076
billion	0.16983
"billion dollars"	0.165276
"more than @@ billion yuan"	0.164715
"over @@@ million yuan"	0.163594
"more than @@@ million dollars"	0.162875
"about @@ million dollars"	0.161416
"two billion yuan"	0.161044
"almost $@@@ million"	0.160899
"almost $@@ million"	0.159806
"almost $@ billion"	0.157146
"nearly $@.@ million"	0.148443
"about @.@ billion dollars"	0.148105
dollar	0.147886
"million dollars"	0.145282
"nearly @@@ million yuan"	0.145139
"more than @@ billion dollars"	0.144781
"more than @@@ billion yuan"	0.144181
"more than @.@ billion yuan"	0.143726
"nearly $@@@ billion"	0.142618
"over @@ million yuan"	0.141682
"over $@ million"	0.141668
"more than @@@,@@@ yuan"	0.140682
"almost $@@ billion"	0.13951
"three billion yuan"	0.139122
"about @ percent"	0.137873
"five billion yuan"	0.137778
"more than @@@ million US dollars"	0.137521
"about @@ billion dollars"	0.137479
"about @@@ million yuan"	0.137203
"over $@@ million"	0.136715
"more than @ billion dollars"	0.135758
"almost $@@,@@@"	0.133184
"almost $@ million"	0.131942
"about $@.@@"	0.130212
"nearly $@@@,@@@"	0.12953
"nearly @@ billion yuan"	0.12767
"two million yuan"	0.12765
"one billion US dollars"	0.127574
"hundred thousand dollars"	0.127385
"more than one billion yuan"	0.126837
"U.S. Dollars"	0.124604
"more than @@ million US dollars"	0.124218
U.S.dollars	0.121932
"Over @@@ Million Dollars"	0.121782
"over @@ billion yuan"	0.121655
"over @@@ million US dollars"	0.120264
"thousand dollars"	0.119389
euros	0.119241
million	0.117593
"about @@ percent"	0.116943
"more than @@ million dollars"	0.116856
"one billion dollars"	0.116574
"one million yuan"	0.114813
"five million yuan"	0.114575
"six billion yuan"	0.114256
"million yuan"	0.113856
"nearly @.@ billion yuan"	0.111868
"over @@@ billion yuan"	0.111851
"a few million dollars"	0.110904
"over @.@ billion yuan"	0.110882
dlrs	0.109997
"billion yuan"	0.108526
"nearly $@@,@@@"	0.108057
"about @@@ million US dollars"	0.107113
"more than @@.@ billion yuan"	0.10658
"about @.@ percent"	0.106468
"more than @.@ billion dollars"	0.105707
"hundred million dollars"	0.105595
"about $@.@@ million"	0.104995
"more than @@ billion US dollars"	0.104877
"about $@@.@@"	0.104765
sum	0.104722
"over $@@@,@@@"	0.102635
"about @ billion dollars"	0.102506
"hundred dollars"	0.102127
"more than @ billion yuan"	0.101796
"four billion yuan"	0.101202
"amount of money"	0.0988938
"nearly $@@"	0.0988026
"over @@ million US dollars"	0.0983948
"more than @.@ billion US dollars"	0.0971441
penny	0.0958183
"three million yuan"	0.0945401
worth	0.0942656
"almost $@@@,@@@"	0.0934112
birr	0.0932677
"nearly $@"	0.0927872
amount	0.0927221
Bln	0.0918704
Mln	0.0917117
"two billion US dollars"	0.0910985
"four percent"	0.0907379
"about @@ billion yuan"	0.0905691
"sum of money"	0.0904715
"a few hundred dollars"	0.0901127
one-third	0.0898121
pataca	0.089476
"a few dollars"	0.0890789
"one percent"	0.0889542
"seven billion yuan"	0.0885461
"eight percent"	0.087184
"seven percent"	0.0868256
ruble	0.086817
"three percent"	0.0861161
"one third"	0.0856021
"two percent"	0.0854188
"about $@.@ trillion"	0.085377
money	0.0844156
ringgit	0.0843057
"one million dollars"	0.0830325
"another @@ million dollars"	0.0826599
"five percent"	0.082387
"nine percent"	0.0823682
"more than @@,@@@ yuan"	0.0820185
"RM@@@,@@@"	0.0816776
fund	0.0813617
revenue	0.0788696
"about @.@ billion US dollars"	0.0785988
"six percent"	0.0784079
cash	0.0773255
"a few thousand dollars"	0.0766895
"nearly $@,@@@"	0.0765183
shekel	0.0763979
bpd	0.0761941
"about @@ million"	0.0751751
fraction	0.0749684
ECU	0.0749338
"almost @@"	0.074249
crore	0.0738213
cent	0.0737069
payment	0.0736564
saving	0.07318
"About @@.@ percent"	0.0724341
ECUs	0.0718772
"over $@@,@@@"	0.070381
"about @@@,@@@"	0.0702397
profit	0.0702292
tonne	0.0700819
"RM@@,@@@"	0.0696983
"about @@,@@@"	0.0689376
"about one-tenth"	0.0686143
"about @@@ million"	0.0679241
"about one-third"	0.0677415
"Zimbabwe Dollars"	0.066915
one-fifth	0.0668942
"more than @.@ percent"	0.0665078
equivalent	0.0664471
investment	0.0659896
premium	0.0659157
proceeds	0.0653026
earnings	0.0651805
barrel	0.0650594
fee	0.0647356
"About @,@@@"	0.0646982
surplus	0.0644698
"less than @@"	0.0642171
"over $@@@"	0.0639982
funding	0.0635712
reduction	0.0629864
monies	0.062838
"less than @"	0.0627308
windfall	0.0625045
"percentage point"	0.0620579
"about @@ million US Dollars"	0.0612321
"about two-thirds"	0.0611747
"less than @.@ percent"	0.0609097
kg	0.060815
hryvna	0.0608028
"how much"	0.060502
"nearly @@"	0.0599527
shortfall	0.0599115
reais	0.0598988
))
("about $@@@,@@@" (desc 24603.3) (sims
"about $@@,@@@"	0.327115
"about $@ million"	0.307625
"about $@.@ million"	0.293383
"about $@@ million"	0.287897
"about $@,@@@"	0.252505
"nearly $@@ million"	0.250188
"about $@@@ million"	0.249121
"nearly $@ million"	0.247284
"nearly $@@@,@@@"	0.234547
"about $@@@"	0.227875
"about $@.@ billion"	0.223448
"nearly $@@@ million"	0.215433
"about $@ billion"	0.208689
"about $@@ billion"	0.203874
"about $@"	0.197808
"about $@@"	0.195761
"about $@@.@ million"	0.195532
"nearly $@@,@@@"	0.18983
"million dollars"	0.179968
"almost $@@ million"	0.175968
"over $@ million"	0.17569
"nearly $@ billion"	0.175045
"almost $@ million"	0.173922
"thousand dollars"	0.172439
"nearly $@.@ million"	0.170322
"more than @@@,@@@ yuan"	0.169383
"more than @@@ million yuan"	0.167341
"nearly $@@ billion"	0.165155
"almost $@@,@@@"	0.162091
"more than @@ million yuan"	0.159458
"hundred thousand dollars"	0.155306
"over $@@@ million"	0.151025
"about $@@@ billion"	0.150679
"over @@@ million yuan"	0.150584
"nearly @@@ million yuan"	0.148916
"almost $@@@ million"	0.148303
"about $@.@@ million"	0.148262
"billion dollars"	0.147687
"more than @@@ million dollars"	0.147248
"about @@@ million dollars"	0.145188
"over @@ million yuan"	0.14211
"over $@@@,@@@"	0.141593
"hundred dollars"	0.140188
"almost $@@@,@@@"	0.139986
"over $@@ million"	0.135445
"about $@.@@ billion"	0.135312
"a few hundred dollars"	0.132814
"one billion yuan"	0.131862
"over $@ billion"	0.131715
"about @@@ million yuan"	0.131705
"one million yuan"	0.130789
"over @@@ million US dollars"	0.12857
dlrs	0.12852
"about $@.@@"	0.126755
"two billion yuan"	0.126588
"nearly $@,@@@"	0.125553
"more than @@ million US dollars"	0.124639
billion	0.124605
"a few dollars"	0.123252
"about $@@.@ billion"	0.122951
"nearly $@.@ billion"	0.122633
"more than @@ billion yuan"	0.122223
"about @@ million dollars"	0.120904
"over $@@,@@@"	0.12036
"five billion yuan"	0.118377
"two million yuan"	0.117701
"five million yuan"	0.11766
"about @.@ billion dollars"	0.117458
"more than @@@ million US dollars"	0.117085
"more than @.@ billion yuan"	0.116894
"almost $@ billion"	0.113727
dollar	0.113431
"million yuan"	0.112983
"more than one billion yuan"	0.112794
"amount of money"	0.110665
million	0.110418
"more than @@ million dollars"	0.109835
"more than @@@ billion yuan"	0.108569
"more than @@ billion dollars"	0.108425
"three million yuan"	0.108407
"a few thousand dollars"	0.108372
"nearly @.@ billion yuan"	0.107842
"nearly @@ billion yuan"	0.107779
"more than @.@ billion dollars"	0.106691
"Over @@@ Million Dollars"	0.106178
sum	0.104646
"U.S. Dollars"	0.104305
"more than @@,@@@ yuan"	0.103217
"one million US dollars"	0.102301
"one million dollars"	0.102275
U.S.dollars	0.101578
"about @@@ million US dollars"	0.100621
"over @@ million US dollars"	0.100615
"more than @ billion dollars"	0.100335
money	0.0999714
"about @ billion dollars"	0.0999706
"nearly $@@@ billion"	0.0993674
"one billion US dollars"	0.0989673
"almost $@@ billion"	0.0982311
"sum of money"	0.0967445
"about $@@.@@"	0.0966084
"three billion yuan"	0.0964213
"about @@ billion dollars"	0.096101
"six billion yuan"	0.0960881
penny	0.0956446
"RM@@@,@@@"	0.0939042
birr	0.0923305
"a few million dollars"	0.0919318
"RM@@,@@@"	0.0918257
"nearly $@@"	0.0917711
"one billion dollars"	0.0916022
"over @@ billion yuan"	0.0909377
"hundred million dollars"	0.0905216
"about @ percent"	0.0903524
amount	0.0892873
euros	0.089026
"over @@@ billion yuan"	0.0879953
"more than @@.@ billion yuan"	0.0873974
"more than @ billion yuan"	0.0873231
"over $@,@@@"	0.0868282
"over @.@ billion yuan"	0.0856073
"nearly $@"	0.0852146
"more than @@ billion US dollars"	0.0849023
pataca	0.0845142
"about @@ percent"	0.0841483
"four billion yuan"	0.0831883
"RM@,@@@"	0.0824151
"more than @.@ billion US dollars"	0.0806061
worth	0.0799518
"about $@.@ trillion"	0.078391
"billion yuan"	0.0783385
pittance	0.0779304
one-third	0.0772294
shekel	0.0771062
salary	0.0761235
"two billion US dollars"	0.075261
ruble	0.075201
"about @@ billion yuan"	0.0751363
donation	0.0739766
bonus	0.073228
"another @@ million dollars"	0.0731594
ringgit	0.0730055
"about @.@ percent"	0.0728751
cash	0.0719119
ECU	0.0717816
fraction	0.0716615
payment	0.0709451
RM@@@	0.0702346
"small fortune"	0.0695834
maximum	0.0687769
"about @@ million US Dollars"	0.0684651
"Zimbabwe Dollars"	0.0668021
"about @@@,@@@ dollars"	0.0663957
"about one-tenth"	0.0662939
dividend	0.0659103
minimum	0.0658799
fee	0.0658104
hryvna	0.0655362
"one dollar"	0.065042
crore	0.0650306
"over $@@@"	0.0649734
saving	0.0648434
"over $@@"	0.0642758
ECUs	0.0641523
buck	0.0639507
equivalent	0.0628613
reimbursement	0.0611217
"how much"	0.060286
monthly	0.0601647
cent	0.0593005
kickback	0.0591334
"one penny"	0.0576151
Mln	0.0572325
dime	0.0571059
revenue	0.0566926
"about @@ million"	0.0564191
ton	0.0563766
"about @@,@@@"	0.0563213
premium	0.0557112
hundred	0.0556664
proceeds	0.055438
monies	0.0553632
income	0.0550849
"three percent"	0.0544009
"seven percent"	0.0538858
"five percent"	0.0538818
royalty	0.053276
"less than @.@ percent"	0.0532393
wage	0.0532166
contribution	0.0531729
"one percent"	0.0530567
"two percent"	0.0528245
pension	0.0525073
compensation	0.0524913
"About @,@@@"	0.0520247
"about @@@ million"	0.0518836
"eight percent"	0.0514706
one-tenth	0.0513945
"about @@@,@@@"	0.0512914
profit	0.0502952
))
("about @" (desc 14554) (sims
"Less than one"	0.167666
"About one"	0.158842
"more than @"	0.151354
"less than @"	0.146554
"about four"	0.144785
"nearly one"	0.138601
"about @.@"	0.137912
"nearly four"	0.13624
"more than six"	0.13509
"nearly three"	0.133588
"about six"	0.131098
"up to @"	0.130917
"about @@"	0.125421
"about three"	0.121508
one-half	0.118715
"nearly @"	0.117889
"almost one"	0.114242
"roughly one"	0.110805
"almost @"	0.110421
"about @@ to @@"	0.108392
"Nearly two"	0.106568
"over @"	0.10205
"more than four"	0.0985698
"about five"	0.0941314
"about two"	0.0918606
"almost @@"	0.0903893
"about seven"	0.0903244
"about @@-@@"	0.0894073
"about eight"	0.0890797
"almost two"	0.088035
"up to @@"	0.0877727
"more than one"	0.08685
"two to three"	0.0865439
"Place @"	0.0847045
"about @.@@"	0.0842408
"four to five"	0.0839122
"another @"	0.0828463
"about nine"	0.0791859
"more than three"	0.0777859
"about @@ inches"	0.076589
"less than @@@"	0.0751589
"less than @@"	0.0749953
"nearly @@"	0.0717413
"about @@@ million"	0.0710112
"More than nine"	0.0703005
one-quarter	0.0679397
"over @@"	0.0677636
"about @@@"	0.0669519
"more than eight"	0.0661437
"about @ inches"	0.0658364
"close to @@"	0.0655221
"More than two"	0.0653537
"three to four"	0.0646252
"about @.@ billion"	0.0643953
"About @,@@@"	0.0638487
"up to @@@"	0.062953
"Makes @"	0.062369
"less than two"	0.0622674
"more than @@"	0.0616381
"roughly @@"	0.0614684
"about @@ million"	0.0605445
"won @"	0.0598728
"about @:@@"	0.0594431
"About @ billion"	0.0593772
"over @@@"	0.0585871
inch	0.0585666
"up to one"	0.0579358
"over six"	0.0565251
"about @@,@@@"	0.055371
"more than five"	0.0552839
"more than @@ million"	0.054947
"more than @@@ million"	0.0542027
"about @@@,@@@"	0.0535994
"about @.@ million"	0.0526561
"almost @@@"	0.0511106
"up to @,@@@"	0.0505213
"about @@.@ million"	0.0504205
"three million"	0.0500891
"One Million"	0.0499863
"over @@ million"	0.0492535
"five to @@"	0.0487291
"up to five"	0.0485333
"over @@@ million"	0.0482051
"eight million"	0.0481401
"one meter"	0.0478529
"another @@"	0.0478002
"about @ million"	0.0473764
"up to three"	0.0470649
"three inches"	0.0468641
"About @.@@ million"	0.0465367
"about @ minutes"	0.0455558
"more than @@@,@@@"	0.0452068
"about @@@ to @@@"	0.0451522
"more than @ billion"	0.0451164
"more than @,@@@"	0.0447196
"eight to @@"	0.0446847
"nearly @@ million"	0.0443682
"about @@ minutes"	0.0437274
"good person"	0.0436546
"five million"	0.0433541
"more than @@,@@@"	0.043332
"over @,@@@"	0.04325
"less than @@,@@@"	0.0429768
"less than @.@ percent"	0.0429379
"nearly @@@ million"	0.0427745
"won @@"	0.0425657
"less than @,@@@"	0.0425284
"over @@,@@@"	0.0419519
"more than @@@"	0.0416229
"black person"	0.0415028
"one billion"	0.0414864
"about @ percent"	0.0414299
"won @@@"	0.0413024
"two million"	0.0412241
"about @.@ percent"	0.0407786
"up to @@ million"	0.040715
))
("about @ @/@ hours" (desc 1002.37) (sims
"less than two hours"	0.223692
"about two hours"	0.207221
"about @@ to @@ minutes"	0.190851
"over @@ hours"	0.179821
"about three hours"	0.177873
"about one hour"	0.169869
"about five hours"	0.16754
"almost two hours"	0.166065
"nearly four hours"	0.165666
"about @@ minutes"	0.165238
"more than two hours"	0.165222
"more than five hours"	0.158752
"about four hours"	0.149951
"nine hours"	0.149574
"more than three hours"	0.144239
"nearly two hours"	0.138969
"about six hours"	0.138865
"about @@ hours"	0.131127
"over three days"	0.128632
"another @@ minutes"	0.127139
"more than four hours"	0.127086
"nearly @@ minutes"	0.125401
"about @ minutes"	0.123406
"about @ hours"	0.123323
"about @ hour"	0.121149
"eight hours"	0.120174
"more than @@ hours"	0.117349
"nearly three hours"	0.11574
"over two hours"	0.111291
"up to @@ minutes"	0.109175
"about five minutes"	0.108888
"about @ minute"	0.107734
"more than @@ minutes"	0.105342
"over @@ minutes"	0.104064
"nearly @@ hours"	0.103187
"about six weeks"	0.10207
"six days ago"	0.0997584
"up to @@ hours"	0.0984859
"a few minutes"	0.096531
"less than @@ minutes"	0.0945368
"six hours"	0.0932
"four hours"	0.0931184
"five hours"	0.0923508
"another three years"	0.0900587
"about two years"	0.0896001
"seven hours"	0.0891776
"Ten minutes"	0.0880652
"over @@ years ago"	0.0865362
"a few hours"	0.0843149
"about two minutes"	0.0833774
"another five years"	0.08216
"over two days"	0.0798425
"up to @@ months"	0.0798096
"three to six months"	0.0793854
"six to eight weeks"	0.076139
"Less than two weeks"	0.0750246
"about six months"	0.0739556
"about @@ months"	0.073905
"up to two years"	0.0712472
"more than two months"	0.0712374
"another @@ years"	0.0711617
"more than six months"	0.0708273
"less than @@ hours"	0.0705859
"another @@ days"	0.0701999
"less than five minutes"	0.0688024
"less than two weeks ago"	0.0687718
"last four days"	0.0679433
"over @@ million US dollars"	0.0677228
"four to six weeks"	0.0675391
"hundred years"	0.067466
"another two weeks"	0.0663111
"four days ago"	0.0662966
"nearly three weeks"	0.0654206
"five decades"	0.0654175
"about three years"	0.0641399
"more than three months"	0.063267
"about @@ times"	0.0630545
"more than @@ months"	0.0622745
"one weekend"	0.0597177
"one million dollars"	0.0580731
"less than two years"	0.0578792
"nearly three years"	0.0576131
"about @@ days"	0.0566765
"thousand years"	0.0565797
"three days ago"	0.0561719
"nearly two decades"	0.055877
"over @@@ million US dollars"	0.0549118
"about three weeks"	0.0546487
Moncton	0.053953
"about four years"	0.0539122
"up to three months"	0.0536495
"less than two years ago"	0.0534986
"another four years"	0.0523805
"more than two weeks"	0.0522016
"next @@ minutes"	0.0521447
"more than @@@,@@@ yuan"	0.0512551
"nearly six years"	0.0508648
"million yuan"	0.0508329
"almost three years"	0.0505862
"eight weeks"	0.0499894
"up to five years"	0.0499136
"up to six months"	0.0497259
"more than @@ million US dollars"	0.0495373
"more than three years ago"	0.0494177
"more than @@@ million dollars"	0.0491165
"almost three decades"	0.0484934
"up to @@ years"	0.0484925
"nearly @@ months"	0.0484567
"over @@ months"	0.0482786
"hundred miles"	0.0482609
"more than @@@ million US dollars"	0.04823
"seven weeks"	0.0481078
"one week ago"	0.0480392
"more than two decades ago"	0.0478199
"five to @@ years"	0.0476393
"another six months"	0.0474872
"seventh day"	0.0473848
"up to three years"	0.0472461
"a few hundred dollars"	0.0471565
"more than four months"	0.0471469
"eight miles"	0.046637
"eight kilometers"	0.0465249
"more than five minutes"	0.046486
"over two decades"	0.0462207
"up to @@ days"	0.0461172
"about two years ago"	0.0460695
"more than seven years"	0.0457371
"nearly two months"	0.045272
"nearly two decades ago"	0.0451358
"about four times"	0.0450878
"two to three weeks"	0.0450805
"about two months"	0.0449864
"nine weeks"	0.0446665
"eight months ago"	0.0444327
"nearly two weeks"	0.0439352
"another two years"	0.0436685
"New Territories"	0.0436325
"six kilometers"	0.0433363
"five million yuan"	0.0431166
"first five days"	0.0429795
"less than three years"	0.0427235
"billion yuan"	0.0426794
"up to two weeks"	0.0425189
"another @@ months"	0.0419584
"more than @@ days"	0.0418315
"Nearly @@@ miles"	0.0416161
"more than @@ million dollars"	0.0414788
"less than three minutes"	0.041317
"over @@@ million yuan"	0.0407227
"last five minutes"	0.0401768
))
("About @ billion" (desc 970.089) (sims
"about @.@ billion"	0.399142
"about @@ billion"	0.390898
"more than @ billion"	0.386133
"more than @@ billion"	0.361302
"two billion"	0.303723
"another @@@ million"	0.297362
"one billion"	0.285478
"about @@@ million"	0.268991
"more than @.@ billion"	0.245018
"nearly @@@ million"	0.225728
"more than @@@ million"	0.217304
"Another @@ million"	0.214033
"Three billion"	0.213518
"up to @@ million"	0.21305
"another @ million"	0.210965
"over @@@ million"	0.210503
"about @@.@ million"	0.181339
"Seven million"	0.172391
"nearly @@ million"	0.166361
"About @.@@ million"	0.164797
"six billion"	0.15635
"another @.@ million"	0.152974
"five million"	0.150094
"more than @@ million"	0.149086
"Four million"	0.145231
"over @@ million"	0.144677
"about @.@@"	0.144358
"eight million"	0.138924
"About three million"	0.130215
"up to @ million"	0.1271
"three million"	0.126724
"over @.@ million"	0.122749
"about @ million"	0.121525
"another @@@,@@@"	0.12152
"More than three million"	0.120705
"less than @,@@@"	0.119195
"more than four million"	0.119016
"about @@ million"	0.118774
"almost @@ million"	0.117469
"One Million"	0.116719
"about @.@"	0.116671
"About one million"	0.114885
"Over one million"	0.112068
"four to five"	0.111663
"six million"	0.110823
"up to @@@,@@@"	0.106331
"two million"	0.104505
"nearly one million"	0.10137
"nine million"	0.100737
"more than @ million"	0.100647
"up to @@,@@@"	0.0994748
"less than @@,@@@"	0.098823
"about @.@ million"	0.0975056
"More than two million"	0.0974443
"more than one million"	0.0967242
"over @ million"	0.0963764
"six to @@"	0.0957808
"About two million"	0.0955468
"close to @,@@@"	0.0939193
"up to @,@@@"	0.0930588
"more than @.@@ million"	0.0913308
"roughly @@@"	0.0912201
"almost @@@,@@@"	0.0911832
"over @.@@ million"	0.090957
"Nearly @.@ million"	0.090433
"close to @@"	0.0903518
"Nearly two"	0.0900555
"less than @@@"	0.0895844
"nearly @@@,@@@"	0.0864513
"three to four"	0.0855666
"up to eight"	0.0845509
"about @@ to @@"	0.0842615
"More than @.@ million"	0.0840715
"about four"	0.0838384
Thirty-three	0.0830112
"five to @@"	0.0826928
Belarusian	0.0814465
"almost @,@@@"	0.0809951
"roughly @@,@@@"	0.0790743
"about eight"	0.0772057
"roughly @,@@@"	0.0770429
"six to eight"	0.0757503
"Over two million"	0.0754322
"up to two"	0.0752336
"two to four"	0.0747394
"up to six"	0.0740552
"less than two"	0.0739507
"first @@@"	0.0720531
"more than four"	0.0719467
"over @@@,@@@"	0.0714933
"nearly @ million"	0.07042
"up to @@@"	0.0699997
"over @,@@@"	0.0699916
"Less than one"	0.0695646
"almost @ million"	0.0693561
"up to @"	0.0686988
"up to five"	0.0681772
"more than @ billion dollars"	0.0674767
"more than seven"	0.0668923
"two to three"	0.0666925
"over @@,@@@"	0.0666587
"almost @@@"	0.0655026
"about six"	0.0652722
eighty	0.0645605
"more than five"	0.0645032
"more than @.@ billion US dollars"	0.064102
"ten thousand"	0.0632829
"other @@@"	0.0628565
"nearly @,@@@"	0.0621263
"million yuan"	0.0620128
"up to seven"	0.0617574
Thirty-five	0.0614077
"less than @@"	0.0609559
Thirty-six	0.0605479
"less than five"	0.0602969
"almost @@,@@@"	0.0599546
"over @@@ million US dollars"	0.059918
"roughly @@@,@@@"	0.0598068
"about five"	0.0595803
"nearly @@,@@@"	0.0594903
"about @"	0.0593772
"Around @@"	0.0592856
"another @@,@@@"	0.0584767
pretax	0.0579687
"one million dollars"	0.0571709
billions	0.0567342
"more than eight"	0.0564367
"close to @@@"	0.0564036
"Another eight"	0.0562806
"four million tons"	0.0557155
"more than @@@ million tons"	0.0553559
"Around @@@"	0.0548181
"about @@-@@"	0.0545754
"four to six"	0.0538863
"about @@@ to @@@"	0.0538816
"one million US dollars"	0.0534899
"more than @@@ million US dollars"	0.0534712
Belarussian	0.0529351
"about nine"	0.0526076
"another @"	0.0522895
"Another two"	0.0515917
forty	0.0510888
"one billion US dollars"	0.0508864
"up to three"	0.0506476
"Another @,@@@"	0.0502599
Thirty	0.0493993
"more than one-fifth"	0.0492708
"over @"	0.0490628
"two billion yuan"	0.0488359
"more than @@@ million yuan"	0.0488001
"about @@@ tons"	0.0479754
"two cents"	0.0478518
"about three"	0.0476436
"another nine"	0.0475729
"more than six"	0.0475665
"another seven"	0.0475329
"more than @@ million US dollars"	0.0473575
"roughly @@"	0.0471634
"six million tons"	0.0467755
"five billion yuan"	0.0464251
"more than three"	0.0463286
"almost @"	0.0463089
"another four"	0.0462547
Forty-two	0.0461509
"more than @"	0.0460788
"Another @@@"	0.0460063
Kraus	0.0457283
"up to four"	0.045701
"large white"	0.0456281
"close to @@,@@@"	0.0454288
"More than nine"	0.0446641
"almost $@@ million"	0.0443436
millon	0.0442182
"eight to @@"	0.0441191
Forty-five	0.0441129
"more than @@@ billion yuan"	0.0438517
"more than @@@,@@@ yuan"	0.043763
seventy	0.0436721
"about @,@@@ acres"	0.0435503
"about @@@,@@@ tons"	0.0434541
"About @@ per cent"	0.0434173
multiyear	0.0431778
"airplane ticket"	0.0429464
"Nihon Keizai"	0.0428404
Forty-seven	0.042818
"over $@ billion"	0.0426269
"about @.@ million tons"	0.0426092
"about @@ million tons"	0.0425686
Camerounian	0.0424653
Maori	0.0423883
"nearly @@@ million yuan"	0.0421475
"about @@,@@@ tons"	0.0416308
"three to five"	0.0414049
Sacagawea	0.0413952
"another three"	0.041099
Thirty-two	0.0406676
"Two hundred"	0.0406205
sixty	0.0406017
"hard copy"	0.0404397
RM@@@	0.0403541
))
("about @ billion dollars" (desc 1695.86) (sims
"about @@.@ million dollars"	0.262578
"more than @.@ billion dollars"	0.249039
"about @@@ million dollars"	0.244213
"Over @@@ Million Dollars"	0.224454
"more than @@@ million dollars"	0.223764
"over @@@ million US dollars"	0.222627
"about @.@ billion US dollars"	0.219351
"about @.@ billion dollars"	0.216296
"more than @ billion dollars"	0.204159
"more than @.@ billion US dollars"	0.203935
"about @@ million dollars"	0.201591
"two million yuan"	0.195583
"nearly @@ billion yuan"	0.1926
"more than @@ billion dollars"	0.190012
"four billion yuan"	0.189225
"nearly @@@ million yuan"	0.18515
"about @@ billion dollars"	0.184219
"about @.@@ billion dollars"	0.183929
"more than @@@ million US dollars"	0.181899
"about @@@ million US dollars"	0.180435
"over @@ billion yuan"	0.18042
"more than one billion yuan"	0.180018
"more than @ billion yuan"	0.178936
"about @@@,@@@ dollars"	0.177318
"one billion US dollars"	0.176193
"more than @.@ billion yuan"	0.175833
"about @.@ million dollars"	0.172912
"five billion yuan"	0.166439
"almost $@ billion"	0.165648
"seven billion yuan"	0.165431
"more than @@ billion US dollars"	0.164221
"one billion dollars"	0.162527
"over $@ billion"	0.162328
"nearly $@.@ billion"	0.160484
"almost $@@ billion"	0.160381
"billion yuan"	0.155757
"more than @@.@ billion yuan"	0.155623
"six billion yuan"	0.154359
"two billion yuan"	0.153851
"about @@@ million yuan"	0.151964
"almost $@@ million"	0.151559
"over @@ million yuan"	0.150427
"nearly @.@ billion yuan"	0.148147
"about $@@.@ billion"	0.146946
"almost $@@,@@@"	0.146321
"over @@@ billion yuan"	0.146119
"another @@ million dollars"	0.144214
"more than @@ million US dollars"	0.143957
"more than @@@,@@@ yuan"	0.139909
"three billion yuan"	0.139515
"over @@@ million yuan"	0.139268
"more than @@@ billion yuan"	0.139237
"more than @@ million yuan"	0.138099
"almost $@@@ million"	0.136086
"more than @@@ million yuan"	0.135131
"nearly $@.@ million"	0.134946
"nearly $@@"	0.132394
"million yuan"	0.130076
"two billion US dollars"	0.129447
"nearly $@@ billion"	0.12796
"about @@ million US Dollars"	0.127784
"nearly $@@@ million"	0.127515
"about $@@ billion"	0.125898
"one million dollars"	0.125555
"about $@ billion"	0.125441
"nearly $@"	0.123626
"nearly $@@@ billion"	0.122236
"Zimbabwe Dollars"	0.121776
"more than @@ million dollars"	0.121551
"billion dollars"	0.119862
"about $@.@ billion"	0.119184
"over @.@ billion yuan"	0.118542
"one billion yuan"	0.116825
"over $@@ billion"	0.114003
"about @@ billion yuan"	0.11379
"about $@.@@ billion"	0.113475
"nearly $@ billion"	0.112977
"more than @@ billion yuan"	0.112846
"almost $@@@,@@@"	0.112738
"almost $@ million"	0.111887
"a few million dollars"	0.111801
"one million US dollars"	0.110363
"about $@@ million"	0.109251
"about $@.@ million"	0.108796
"three million yuan"	0.108127
"five million yuan"	0.105284
ECU	0.105205
"about $@@@ billion"	0.103654
"thousand dollars"	0.103211
"about $@@@ million"	0.102506
"about $@ million"	0.100784
"about $@.@ trillion"	0.100547
"about $@@@,@@@"	0.0999706
"over $@@@ million"	0.0986836
ECUs	0.0985903
"hundred dollars"	0.0976909
"nearly $@,@@@"	0.0976596
"over $@@ million"	0.0962211
"hundred million dollars"	0.0958368
"more than @@,@@@ yuan"	0.0948789
U.S.dollars	0.094756
"nearly $@ million"	0.0902174
"small fortune"	0.0899738
"about $@@,@@@"	0.088886
"over $@ million"	0.0884167
"less than @.@ percent"	0.0874848
"about $@"	0.0873934
"over @@ million US dollars"	0.0863874
"a few thousand dollars"	0.0849556
"about one percent"	0.0842313
"about $@@.@ million"	0.0838315
"about $@.@@ million"	0.0831456
"nearly $@@,@@@"	0.0826991
"nearly $@@@,@@@"	0.0809391
"about $@@@"	0.0793203
"U.S. Dollars"	0.0773654
"about three percent"	0.0767952
"nearly $@@ million"	0.0762612
"over $@@@,@@@"	0.0753094
"two million tons"	0.0750351
"Tanzania Shillings"	0.0750197
"about $@,@@@"	0.0744411
"hundred thousand dollars"	0.0743764
pataca	0.0741419
"more than @.@ percent"	0.0739622
"about $@@"	0.0738924
"one million yuan"	0.0729978
"About @@.@ percent"	0.072623
RM@@@	0.0698796
euros	0.0694483
KUNA	0.0666146
shekel	0.0654969
"over @@@ points"	0.0649225
"about two percent"	0.0648686
"million dollars"	0.0647321
"less than one percent"	0.0645979
"trillion dollars"	0.0641125
"a few hundred dollars"	0.063936
"over $@@"	0.0614972
one-seventh	0.0607521
"about @@@ million"	0.0600035
"about $@.@@"	0.05955
birr	0.0592389
"over $@@,@@@"	0.0589765
reais	0.0586008
"over $@@@"	0.0582423
"six percent"	0.0581987
"over @@ million tons"	0.0580403
"RM@@@,@@@"	0.0578349
"a few dollars"	0.0572426
"foreign direct investment"	0.0570607
"about @.@ percent"	0.0566046
knighthood	0.0564729
"four percent"	0.0564078
"about @@ points"	0.0561967
"nearly @@ points"	0.0554256
VND	0.0547724
"over @@@,@@@ tons"	0.0545067
"currency unit"	0.0539173
"one dollar"	0.0535901
"three million tons"	0.053321
"investor interest"	0.0532041
"RM@,@@@"	0.0525674
M.A	0.0524279
"about @.@ million tons"	0.0522973
"about five percent"	0.05212
pittance	0.0515942
"summary judgment"	0.0513275
B.A	0.0509595
Avonex	0.0508564
"over $@,@@@"	0.0504106
"about @.@@ percent"	0.0502958
"about @.@ billion"	0.050092
"two percent"	0.0495933
trillion	0.0489528
"up to @@.@ percent"	0.0485547
franc	0.0483274
RM@@.@@	0.0482087
"sum of money"	0.0481453
"more than @@ yards"	0.0479598
laude	0.0479383
"Almost three-quarters"	0.0479341
Pula	0.0477114
"another @.@ percent"	0.0473059
"nine percent"	0.0472846
"electric current"	0.0472036
"election district"	0.0471806
"nearly @@ million"	0.0468239
tenge	0.0467184
"more than @.@ billion"	0.0464164
"less than five percent"	0.0463877
"about four percent"	0.0463419
dollars-worth	0.0460512
"three percent"	0.0459574
metical	0.0459019
monies	0.0458749
"three million"	0.0456809
U.	0.0453711
"FAO Schwarz"	0.0452206
"eight percent"	0.0451997
))
("about @ cup" (desc 1745.3) (sims
"about @/@ cup"	0.313297
"about @ cups"	0.280343
"about @ tablespoons"	0.167251
"about @ pounds"	0.112939
tablespoon	0.105977
"One-third cup"	0.0936245
"one cup"	0.092023
spoonful	0.0887985
"Up to @.@@ Percent"	0.0766068
teaspoon	0.0641125
parsnip	0.06278
"green olive"	0.0623333
quart	0.0616555
"about @ ounces"	0.059589
pancetta	0.0573536
"another third"	0.0552647
"garlic clove"	0.0533845
Chickpea	0.0499011
latke	0.0488661
"water chestnut"	0.0483431
"plum tomato"	0.0469872
lemongrass	0.0464638
"black olive"	0.0461473
"more than @@,@@@ tons"	0.0455603
brine	0.0453793
"hot stock"	0.0451848
"red bell pepper"	0.0451658
slurry	0.0446809
"light brown"	0.0434117
dumpling	0.0430167
"green onion"	0.0428582
Chipotle	0.0427365
meatball	0.0422373
"one pound"	0.041301
"six tons"	0.0408455
"bittersweet chocolate"	0.0407735
"red pepper"	0.0405892
"up to @.@ percent"	0.0405837
))
("about @ cups" (desc 3121.2) (sims
"about @ cup"	0.280343
"about @/@ cup"	0.261037
"about @ tablespoons"	0.153649
"about @ ounces"	0.143477
tablespoon	0.112949
"one cup"	0.108104
"black olive"	0.0920437
"One-third cup"	0.0891835
mango	0.0815307
tomatillo	0.0782878
leek	0.0758811
"green olive"	0.074209
"water chestnut"	0.0719119
"red bell pepper"	0.0713307
"bell pepper"	0.0711794
Chickpea	0.069172
"plum tomato"	0.0690577
"black bean"	0.0682796
Chipotle	0.063884
apricot	0.063188
"Swiss chard"	0.0623746
"green pepper"	0.0614782
scallion	0.0613321
peach	0.0610292
pineapple	0.0607166
"red pepper"	0.0602187
"romaine lettuce"	0.0593268
teaspoon	0.0590044
"prickly pear"	0.0578572
jalapeno	0.0572033
celery	0.0570941
Quince	0.0569424
cucumber	0.0564181
eggplant	0.0546794
shallot	0.0535512
spoonful	0.0534846
"red onion"	0.0533897
RHUBARB	0.0527234
"about @ pounds"	0.0520842
Or	0.0511906
"one pound"	0.0510731
carrot	0.0507895
avocado	0.0504565
pimento	0.050177
"more than @ million tons"	0.0497017
asparagus	0.0493206
dollop	0.0492706
"more than @@@ million tons"	0.0488438
cauliflower	0.0485983
zucchini	0.0485219
spinach	0.0478752
"Up to @.@@ Percent"	0.0475175
chard	0.0474756
nectarine	0.0469042
pecan	0.046848
chiles	0.0467211
marjoram	0.0460923
fillet	0.045959
dumpling	0.0454741
cilantro	0.0453087
brisket	0.0452358
lemongrass	0.0448829
coconut	0.0448747
"chicken breast"	0.0447949
Chili	0.0447673
"green onion"	0.0445912
"one kilogram"	0.0445706
parsley	0.0444063
puree	0.0442437
thyme	0.0439584
"three tons"	0.0438614
Basil	0.0431054
puddle	0.0423465
briquette	0.0420685
cider	0.0420485
pancetta	0.0418084
artichoke	0.0416384
walnut	0.0415723
"shiitake mushroom"	0.0413673
"bittersweet chocolate"	0.0411649
Kilogram	0.0409587
Tamarind	0.0408824
"two tons"	0.0408705
fennel	0.0405383
"brussels sprout"	0.0402257
mussel	0.0401022
))
("about @ hour" (desc 1853.17) (sims
"about @@ to @@ minutes"	0.497665
"another @@ minutes"	0.373607
"about @ hours"	0.373355
"about @ minutes"	0.368948
"about @ minute"	0.259146
"about @@ minutes"	0.243274
"about @ @/@ hours"	0.121149
"a few minutes"	0.105797
"about five minutes"	0.0708492
"up to @@ hours"	0.067997
"summers ago"	0.0603069
"about two minutes"	0.0567547
"seven hours"	0.0525066
"over six months"	0.0494827
"about @@ hours"	0.044298
"more than four hours"	0.0410676
"from @@@@-@@@@"	0.0410438
"more than five hours"	0.0402978
))
("about @ hours" (desc 1487.06) (sims
"about @ hour"	0.373355
"about @@ to @@ minutes"	0.325222
"about @ minutes"	0.310636
"another @@ minutes"	0.294346
"about @ minute"	0.233404
"about @@ minutes"	0.229362
"up to @@ hours"	0.153325
"about one hour"	0.130731
"a few minutes"	0.125294
"about @ @/@ hours"	0.123323
"nine hours"	0.116601
"about @@ hours"	0.105505
"about five minutes"	0.104505
"up to three months"	0.0963287
"four hours"	0.0939757
"about three hours"	0.0933078
"about four hours"	0.0917485
"about two hours"	0.090136
"less than two hours"	0.0894283
"more than five hours"	0.0880485
"one hour"	0.0843574
"up to two weeks"	0.0838738
"over two hours"	0.0821305
"seven hours"	0.0730268
"six hours"	0.0713764
"a few hours"	0.0699642
"nearly four hours"	0.0696342
"more than two hours"	0.0670314
"about six hours"	0.0669902
"another three years"	0.065103
"less than @@ hours"	0.0614304
"almost two hours"	0.0597808
"about two minutes"	0.0568298
"less than three years"	0.0563069
"nearly @@ hours"	0.0521167
"about six weeks"	0.0504376
"eight months ago"	0.0493418
"another @@ years"	0.0489104
"another two years"	0.0485817
"eight minutes"	0.0484596
"hundred years"	0.0484543
"from @@@@-@@@@"	0.0484245
"less than five minutes"	0.0477458
"about two weeks"	0.0472578
"two to three years"	0.0471123
"about @@ months"	0.0467841
"another two weeks"	0.0462988
"nearly three hours"	0.0456744
"over three days"	0.0450048
"about three years"	0.0446232
"more than @@@ times"	0.0437653
"nearly two weeks"	0.0437633
"nearly three months"	0.0436561
"about four times"	0.0435044
"about two years"	0.0434156
"more than four months"	0.0432791
"less than two years"	0.0432467
"seven weeks"	0.0415857
"another four years"	0.0414676
"one weekend"	0.041462
))
("about @ inches" (desc 5475.29) (sims
"about @@ inches"	0.297087
"three inches"	0.213446
"two inches"	0.212387
"four inches"	0.18705
"a few inches"	0.183701
half-inch	0.179764
"six inches"	0.178011
"one meter"	0.166062
"two meters"	0.152883
"more than @@ inches"	0.141749
"up to @@ inches"	0.138403
"three meters"	0.132819
inch	0.128376
"Up to @ inches"	0.0994908
centimeter	0.0938622
"one inch"	0.091311
"about @@ meters"	0.0906843
"five meters"	0.0886994
millimeter	0.0857122
"about @@ yards"	0.0843584
"a few meters"	0.0666362
"about @"	0.0658364
meter	0.0628206
"eight miles"	0.0626177
"about @@@ meters"	0.0625782
"nine miles"	0.0613932
"about two miles"	0.0606342
"a few pounds"	0.05805
"two kilometers"	0.0579408
"about @@@ yards"	0.0567271
"a few yards"	0.0560518
"two miles"	0.0537029
"five kilometers"	0.0536494
Tables	0.0533126
"about @@ points"	0.0532924
"two pitchers"	0.052511
splotch	0.0520039
"five cents"	0.0513309
"seven miles"	0.0509188
one-timer	0.0497599
"Three and Four"	0.0495016
m.	0.0492732
"three pitchers"	0.0477685
"more than @@@ miles"	0.0476156
"nearly @@@ points"	0.0464123
"six miles"	0.0456905
bomblets	0.0455899
"two cents"	0.0453796
"old times"	0.0448864
flopping	0.0448107
"a few thousand dollars"	0.044792
"one mile"	0.0446208
"a few points"	0.04453
slapper	0.044268
"nearly @@ points"	0.0441395
"more than @@ yards"	0.043815
"positive feedback"	0.0433242
porthole	0.0432314
"about five"	0.0424989
"cubic meter"	0.0423937
dough	0.042071
"about @@ miles"	0.0415299
intraday	0.0410571
slab	0.0407039
"three points"	0.0402912
))
("about @ miles" (desc 3587.8) (sims
"about two miles"	0.29131
"about six miles"	0.287986
"eight kilometers"	0.263527
"about five miles"	0.252895
"four miles"	0.250813
"about three miles"	0.239181
"five kilometers"	0.237622
"nine miles"	0.23032
"about four miles"	0.230133
"five miles"	0.22766
"about @@ km"	0.226902
"seven miles"	0.224502
"about @@@ km"	0.222563
"one mile"	0.220776
"four kilometers"	0.219181
"less than @@ miles"	0.216815
"three kilometers"	0.215159
"about @@ miles"	0.211786
"three miles"	0.21084
"six miles"	0.207534
"eight miles"	0.201087
"about @@ kilometers"	0.197954
"two miles"	0.197921
"a few kilometers"	0.192592
"six kilometers"	0.189864
"about @@@ miles"	0.181951
"about @,@@@ kilometers"	0.180849
"about @@@ kilometers"	0.180677
"Nearly @@@ miles"	0.177877
"about @,@@@ miles"	0.173696
"more than @@@ kilometers"	0.15769
"hundred miles"	0.152748
"a few miles"	0.15272
"more than @@ miles"	0.150365
"about @@@ yards"	0.138847
"about @@@ meters"	0.13098
"more than @@@ miles"	0.130643
"one kilometer"	0.127076
"half mile"	0.120323
"over @@@ kilometers"	0.119416
"quarter mile"	0.116038
"two kilometers"	0.111407
"about @@ meters"	0.110197
"a few yards"	0.107911
"about one kilometer"	0.101649
"a few hundred yards"	0.100001
"hundred yards"	0.0967829
"more than @,@@@ miles"	0.0959941
"a few meters"	0.0937545
"up to @@ miles"	0.0840247
"south southwest"	0.0703737
jut	0.069174
frontlines	0.0689753
Drenica	0.0682006
"south southeast"	0.0607007
"Atlantic Ocean"	0.060117
seabed	0.0583332
"about @@ yards"	0.0582494
"about three hours"	0.0575361
"Pacific Ocean"	0.056798
"about two hours"	0.0554547
atoll	0.0543881
foothill	0.0542246
heliport	0.0539778
epicenter	0.0537809
"three meters"	0.0530188
"Swissair Flight @@@"	0.0521803
"single file"	0.0512561
"one meter"	0.0509979
"New Territories"	0.0488581
"Antelope Valley"	0.0473894
"one first"	0.047337
upriver	0.0469778
"Highway @@@"	0.0469353
"Ohio River"	0.0466462
"ocean floor"	0.046613
equator	0.046574
"Westlake Village"	0.0459494
ranching	0.0456569
"high pressure"	0.0450222
"west southwest"	0.044838
"Delaware River"	0.0446393
"main road"	0.043966
motoring	0.0437299
"about @@ inches"	0.0435978
"Highway @@"	0.0427584
"a few inches"	0.0426058
"five meters"	0.0424255
"two meters"	0.042002
causeway	0.0418404
"east northeast"	0.0413574
"state highway"	0.040947
chased	0.0408497
"Mojave Desert"	0.0406341
"Hill Country"	0.0404323
landfall	0.0404135
"two @@-year-olds"	0.0402742
uphill	0.0400853
))
("about @ million" (desc 9182) (sims
"more than @ million"	0.351754
"about @.@ million"	0.33519
"nearly @ million"	0.313742
"nearly @@ million"	0.294376
"about @@@,@@@"	0.292674
"More than @.@ million"	0.288297
"more than @@ million"	0.287339
"about @@ million"	0.275876
"more than @@@,@@@"	0.271211
"Nearly @.@ million"	0.265102
"nearly @@@,@@@"	0.261878
"over @.@ million"	0.260101
"over @@ million"	0.259691
"more than @@@ million"	0.258976
"about @@.@ million"	0.255979
"more than one million"	0.253881
"two million"	0.252009
"about @@,@@@"	0.249059
"over @ million"	0.247826
"over @@@,@@@"	0.247806
"six million"	0.243914
"More than two million"	0.243367
"Over one million"	0.240232
"almost @@@,@@@"	0.237232
"five million"	0.235857
"Four million"	0.23257
"One Million"	0.230962
"More than three million"	0.230204
"almost @@,@@@"	0.227683
"three million"	0.223757
"Seven million"	0.221285
"more than @@,@@@"	0.219669
"up to @@ million"	0.215591
"About @,@@@"	0.211635
"nearly @@,@@@"	0.211096
"about @@@ million"	0.207627
"over @@,@@@"	0.206996
"Over two million"	0.206106
"About three million"	0.203954
"About two million"	0.202852
"eight million"	0.202599
"almost @@ million"	0.202143
"up to @@@,@@@"	0.201019
"About one million"	0.194574
"over @@@ million"	0.191581
"nearly @@@ million"	0.190689
"less than @@,@@@"	0.184519
"nearly @,@@@"	0.182505
"up to @ million"	0.178143
"over @,@@@"	0.177707
"up to @@,@@@"	0.1771
"almost @ million"	0.176956
"more than four million"	0.176325
"more than @,@@@"	0.173701
"roughly @@@,@@@"	0.172069
"nine million"	0.171451
"nearly one million"	0.170011
"about @@@"	0.169279
"another @@@,@@@"	0.165819
"up to @,@@@"	0.164242
"About @.@@ million"	0.161601
"less than @,@@@"	0.159141
"roughly @,@@@"	0.155551
"Another @@ million"	0.155435
"almost @,@@@"	0.155009
"more than @.@@ million"	0.15487
"over @.@@ million"	0.151058
"another @ million"	0.150918
"another @@,@@@"	0.150077
"about @@"	0.139505
"about @.@ billion"	0.132068
"more than @.@ billion"	0.131584
"nearly @@@"	0.131274
"more than @@@"	0.127163
"another @.@ million"	0.125476
"roughly @@,@@@"	0.124508
"About @ billion"	0.121525
"less than @@@"	0.120489
"close to @@,@@@"	0.120199
"almost @@@"	0.118578
"more than @ billion"	0.118161
"over @@@"	0.117461
"up to @@@"	0.112168
"one billion"	0.110919
"roughly @@@"	0.104496
"about @@ billion"	0.101802
"Another @,@@@"	0.101538
Eighteen	0.100541
Sixteen	0.100023
"first @@@"	0.0989299
non-Jewish	0.0978047
Thirty-six	0.097296
"close to @,@@@"	0.0966206
Twelve	0.0964642
"more than @@"	0.0958247
"about four"	0.0931444
"other @@@"	0.0895664
health-conscious	0.0893933
"Another @@@"	0.0889868
"up to @@"	0.0882194
"two dozen"	0.0878312
million	0.0876315
non-Hispanic	0.0874978
"about three"	0.0870178
"about @@ to @@"	0.0861862
"roughly @@"	0.085125
Thirteen	0.0845891
"about two"	0.083943
"up to six"	0.0829269
"turning away"	0.0825432
"nearly one-third"	0.0824391
"ten thousand"	0.0823758
Fifteen	0.082322
"more than seven"	0.0820298
"Two hundred"	0.0818978
Fourteen	0.0815821
"nearly @@"	0.0814389
"over @@"	0.081406
"Around @@@"	0.0809253
"about @@@ to @@@"	0.080913
"about @.@"	0.0805703
"another @@"	0.0805241
seventeen	0.0804942
Thirty-two	0.0803301
"another @@@ million"	0.0795939
"Three hundred"	0.0794713
one-fifth	0.079081
Thirty-five	0.0788943
"Three billion"	0.0781351
"six to @@"	0.0779397
"less than @@"	0.0775956
"about @@ percent"	0.0772687
"about eight"	0.0768718
"up to seven"	0.0765202
Eleven	0.0757346
thousand	0.0754318
"about one-tenth"	0.0745664
"more than @@@@"	0.0744114
Younger	0.0731442
"almost @@"	0.0726966
"more than @@ billion"	0.0723173
"about six"	0.0720449
Thirty-three	0.0718843
"about one-third"	0.0711764
eighty	0.071123
forty	0.0711153
"five to @@"	0.070834
twenty	0.0703589
nine	0.0701654
"middle class"	0.0698087
Fifty	0.0698055
"close to @@"	0.0694308
"six billion"	0.0690959
"more than one"	0.0689954
twenty-four	0.0689684
"More than one-third"	0.068653
"six to eight"	0.0684868
Nineteen	0.0682104
"about nine"	0.0681079
"a few"	0.0678753
Forty-seven	0.0675843
Thirty	0.0670901
"About one"	0.0670766
"More than three-quarters"	0.0669737
"two to three"	0.0666709
one-third	0.0660698
"Nearly two"	0.0658036
"About @@.@ percent"	0.0656038
"close to @@@"	0.0654725
"half a dozen"	0.065034
Thirty-nine	0.0647691
Four-fifths	0.0647618
Amish	0.0644281
"more than five"	0.0643608
"Hispanic American"	0.0642837
Forty-four	0.0635279
"more than six"	0.0634947
"two billion"	0.0634822
nonwhite	0.0634661
"More than two"	0.0633845
expatriate	0.0630761
one-fourth	0.0622927
"up to three"	0.0621347
"Other @@"	0.0621341
"about two-thirds"	0.0620558
Fifty-five	0.0617295
"more than ten"	0.0616029
"about five"	0.0614491
Hasidic	0.0614212
slain	0.0604179
"almost one-third"	0.0601814
"about @ percent"	0.0601097
"Around @@"	0.060044
Mexican-American	0.0598362
Kosovar	0.0595792
Asian-American	0.0594216
"more than one-fifth"	0.0593007
ten	0.0592534
Thirty-eight	0.0589523
"one third"	0.058776
))
("about @ minute" (desc 1829.39) (sims
"about @ minutes"	0.460728
"about @@ to @@ minutes"	0.391651
"about @ hour"	0.259146
"about @ hours"	0.233404
"about @@ minutes"	0.18697
"another @@ minutes"	0.176422
"a few minutes"	0.121362
"about @ @/@ hours"	0.107734
"about five minutes"	0.0735656
"about one hour"	0.0553314
"about two minutes"	0.0478041
))
("about @ minutes" (desc 5588.51) (sims
"about @ minute"	0.460728
"about @@ to @@ minutes"	0.458684
"about @ hour"	0.368948
"about @@ minutes"	0.311126
"about @ hours"	0.310636
"another @@ minutes"	0.264303
"a few minutes"	0.18421
"about @ @/@ hours"	0.123406
"five minutes"	0.0774
"about five minutes"	0.0761631
"up to @@ minutes"	0.0691638
"about two minutes"	0.0646191
"up to @@ hours"	0.0617649
"about @@ hours"	0.0609135
"two minutes"	0.0598938
"one hour"	0.0527987
"more than five hours"	0.0517001
"a few hours"	0.0515723
"about two hours"	0.0492855
"three minutes"	0.0487937
"about @"	0.0455558
"up to three months"	0.0444743
"one minute"	0.0434564
"three hours"	0.0426549
"about one hour"	0.0412777
))
("about @ ounces" (desc 2052.75) (sims
"about @ cups"	0.143477
"about @/@ cup"	0.135811
"about @ pounds"	0.103076
"red bell pepper"	0.0914553
"iceberg lettuce"	0.0771746
"One-third cup"	0.0640498
"about @@ pounds"	0.060959
"about @ cup"	0.059589
"over @@ million US dollars"	0.0528935
Cormier	0.0514296
"romaine lettuce"	0.0491623
"cheddar cheese"	0.0484376
"plum tomato"	0.0483059
"more than @@@ pounds"	0.0477599
"bittersweet chocolate"	0.0471049
scallion	0.0466097
teaspoon	0.0466044
"green onion"	0.0450669
"pine nut"	0.0444036
"four to five"	0.0442083
romaine	0.0411735
"five kilograms"	0.0408096
"garlic clove"	0.0404641
leek	0.0402665
g.	0.0401863
))
("about @ percent" (desc 42272.5) (sims
"about @.@ percent"	0.351462
"about @@ percent"	0.317192
"seven percent"	0.250116
"five percent"	0.249709
"two percent"	0.247731
"six percent"	0.247454
"one percent"	0.247305
"four percent"	0.242056
"three percent"	0.241004
"eight percent"	0.234171
"nine percent"	0.227387
"About @@.@ percent"	0.192702
one-third	0.18523
"ten percent"	0.175185
percent	0.173058
"more than @.@ percent"	0.170898
"less than @.@ percent"	0.16967
"about five percent"	0.168211
"percentage point"	0.166376
"one third"	0.163216
"less than @"	0.163115
"about one-third"	0.163047
"about @.@@ percent"	0.161708
"nearly @"	0.161518
one-fifth	0.158049
"almost @@"	0.15517
"nearly @@"	0.152278
"more than @"	0.15182
"about two percent"	0.147408
two-thirds	0.138417
"about $@@@ million"	0.137873
"less than one percent"	0.136364
"nearly one-third"	0.135087
"More than one-third"	0.133052
"about four percent"	0.131001
"About @@ per cent"	0.130688
"about two-thirds"	0.128682
"More than two-thirds"	0.126754
one-fourth	0.124402
"about one-fifth"	0.123845
"about $@@ billion"	0.122464
"nearly two-thirds"	0.122374
"about three percent"	0.120836
one-quarter	0.118892
thirds	0.118747
"more than @@"	0.117621
"about one percent"	0.117089
"about $@@ million"	0.116629
"about $@ billion"	0.116191
percentage	0.114565
fraction	0.114001
half	0.113615
bpd	0.112258
"about $@.@ billion"	0.112198
"About @,@@@"	0.112074
one-tenth	0.110698
"about $@ million"	0.108617
"one fifth"	0.107917
"More than one third"	0.107863
"less than @@"	0.107773
"up to @.@ percent"	0.107576
"about one third"	0.106556
"about $@@"	0.105331
dollar	0.105099
"growth rate"	0.104243
"about one-fourth"	0.104218
"about @@@,@@@"	0.103359
"about @@,@@@"	0.101888
barrel	0.101588
"more than @@@ points"	0.100322
"almost @"	0.10016
"about @@ million"	0.098935
year-on-year	0.0987975
"about @@@ percent"	0.0985703
"about $@@,@@@"	0.0981529
"lower than"	0.0975851
"about one-quarter"	0.0975449
"basis point"	0.0975179
"almost one-third"	0.0970823
"Eighty percent"	0.0969047
average	0.0959121
rate	0.0952794
"roughly @@"	0.0952525
"nearly @@ points"	0.0951838
tonne	0.0944891
"about $@@@"	0.0930939
"about $@,@@@"	0.0930799
"about @.@ million"	0.0924718
"Sixty percent"	0.0924319
"about $@"	0.0924151
"about three-quarters"	0.0924029
proportion	0.0923389
"one quarter"	0.0915653
"about @@@ points"	0.0904983
"about $@@@,@@@"	0.0903524
"roughly one-third"	0.0894446
three-quarters	0.0892186
"about $@@@ billion"	0.0891666
"Forty percent"	0.0891173
"Twenty percent"	0.0890338
"More than three-quarters"	0.0889813
"about @@@"	0.088667
"about @.@ billion dollars"	0.0880593
amount	0.087318
"one tenth"	0.0872086
"about @@@ million dollars"	0.0869222
"up to @@.@ percent"	0.0864135
"gross domestic product"	0.086064
GDP	0.0851112
tenth	0.085008
"more than one-fourth"	0.0847251
"almost two-thirds"	0.0846633
"over @@"	0.0843615
"roughly two-thirds"	0.0842743
"about @@ points"	0.0838154
growth	0.0836685
zero	0.0832709
kg	0.0828636
"more than @@ points"	0.0823973
"Seventy percent"	0.0823735
"Thirty percent"	0.0822101
"nearly one third"	0.0810505
"about @@ to @@"	0.0810222
"over @@@@"	0.0806839
"about $@.@ million"	0.0806791
bulk	0.0806609
"about one-tenth"	0.0805063
three-fourths	0.0803379
"about @@ billion dollars"	0.0796463
"nearly $@ billion"	0.0796218
"Fifty percent"	0.0791363
total	0.0790323
"over @"	0.0786284
quarter	0.0783299
ratio	0.0779016
"another @.@ percent"	0.0778643
cent	0.0775513
million	0.0766915
"nearly @@@ points"	0.0758022
centavo	0.0756358
"about @@@ million"	0.0753868
third	0.0749697
level	0.0747766
euros	0.0743355
worth	0.0742313
"U.S. Dollars"	0.0734811
"Nearly three-quarters"	0.0733
"more than @@@,@@@"	0.073234
"less than one-third"	0.0731908
revenue	0.0731175
one-sixth	0.0730931
"inflation rate"	0.0729523
ton	0.0729379
billion	0.0725726
"about $@.@@"	0.0718825
"up to @@"	0.0718386
"two points"	0.0716851
"More than @.@ million"	0.0713452
"one cent"	0.0711481
highest	0.0708578
"one dollar"	0.0704994
"more than @@ billion yuan"	0.0702371
lowest	0.0702265
deficit	0.0700661
shekel	0.0689469
low	0.0684665
ruble	0.0682988
"nearly $@@@ million"	0.0678696
"about @@"	0.0678068
income	0.0676429
"more than @@,@@@"	0.0675011
equivalent	0.067462
"more than @,@@@"	0.06713
"Ninety percent"	0.0671126
ringgit	0.0670136
"two cents"	0.0668391
U.S.dollars	0.0668018
reduction	0.0667183
portion	0.0665927
"nearly $@@ billion"	0.0665699
pataca	0.0665532
"one billion yuan"	0.0664418
lower	0.0662973
two-fifths	0.0660072
decrease	0.0655534
"Seventy-five percent"	0.0654296
earnings	0.0649661
majority	0.0649166
output	0.0648885
one-half	0.0648867
"about $@@.@ million"	0.0646675
profit	0.0644026
estimate	0.0641631
birr	0.063656
"budget deficit"	0.0634018
"about @@ million dollars"	0.0630688
"nearly $@@ million"	0.0629458
"more than @@@"	0.0627392
doubling	0.0625523
forecast	0.0623981
))
("about @ pounds" (desc 1850.59) (sims
"about @@ pounds"	0.157149
"six tons"	0.125895
"about @ cup"	0.112939
"red bell pepper"	0.105314
"one pound"	0.103868
"about @ ounces"	0.103076
"more than @@ tons"	0.102353
"more than @@@ pounds"	0.100171
"more than @,@@@ pounds"	0.0965783
"one kilogram"	0.091536
"three tons"	0.0913194
"two pounds"	0.0899935
"a few pounds"	0.0861238
"five kilograms"	0.085092
"two tons"	0.0799421
"about @@@ pounds"	0.0785527
"plum tomato"	0.0757233
Kilogram	0.0749359
"garlic clove"	0.0733645
"hard-boiled egg"	0.0722179
"over @@ million US dollars"	0.0707239
"four tons"	0.0706086
gram	0.0688363
"red onion"	0.0658088
"water chestnut"	0.063199
"more than @,@@@ tons"	0.0625836
"about @,@@@ tons"	0.0620498
"five tons"	0.0610222
"one ton"	0.059116
"bell pepper"	0.0582639
papaya	0.0572356
avocado	0.0567758
"over @@@ million US dollars"	0.0556125
"sweet potato"	0.0555129
"a few hundred dollars"	0.0540205
kumquat	0.0530035
"about @@@ tons"	0.0528571
"about @ cups"	0.0520842
"one ounce"	0.0520529
"over @,@@@ tons"	0.0519802
"more than @ million tons"	0.0509349
"two bags"	0.0503067
parsnip	0.0492178
shallot	0.0491997
"more than @@,@@@ tons"	0.0489471
kilo	0.048142
"one million dollars"	0.0481407
clove	0.0480933
"about @@@,@@@ tons"	0.047917
"metric ton"	0.0466687
nectarine	0.0454835
g.	0.0452901
Cormier	0.0450666
"green onion"	0.0442763
zucchini	0.0433849
"over @@,@@@ tons"	0.0428368
"more than @@@ tons"	0.042602
"about @@,@@@ tons"	0.0417157
"more than @@@ million dollars"	0.0413469
"more than @@ million US dollars"	0.0412158
celery	0.0410674
"almost two-thirds"	0.0410235
half-dozen	0.0409329
Publicis	0.0407248
))
("about @ tablespoons" (desc 1121.48) (sims
"about @/@ cup"	0.297051
tablespoon	0.253046
"about @ cup"	0.167251
"about @ cups"	0.153649
"One-third cup"	0.150975
spoonful	0.126238
teaspoon	0.123696
dollop	0.120506
"one cup"	0.119223
quart	0.0862409
yolk	0.075236
breadcrumb	0.0725717
morel	0.0603268
ballast	0.0597445
gram	0.0591209
wasting	0.058867
pasteurization	0.05871
tomatillo	0.0577004
Chipotle	0.0566158
half-inch	0.0565568
"chocolate mousse"	0.0539287
marinade	0.0536671
Chickpea	0.0535599
"pineapple juice"	0.0535209
"light brown"	0.053383
wasabi	0.0520286
matzo	0.0515522
lemongrass	0.051038
"egg yolk"	0.0502651
tarragon	0.0497426
simmering	0.0497286
"over @@@ tons"	0.0494284
"about @@ pounds"	0.0492189
"more than @@,@@@ tons"	0.0486858
panko	0.0481159
one-half	0.047962
mouthful	0.0476509
pint	0.0475364
fennel	0.0473272
enema	0.0465738
accretion	0.0464223
caster	0.0461665
"heavy cream"	0.0457318
Masa	0.0451749
scallion	0.045091
butterscotch	0.0447262
dregs	0.0438103
jalapeno	0.0432417
marmalade	0.0430706
glob	0.0429757
"three tons"	0.0428791
slurry	0.0428642
sprinkling	0.0426336
"egg white"	0.0423572
amaryllis	0.042139
"vanilla bean"	0.0419807
buttermilk	0.0419685
cornmeal	0.0416429
filet	0.0415072
decomposition	0.0405321
storing	0.0401561
))
("About @,@@@" (desc 37628) (sims
"about @@,@@@"	0.354338
"about @@@"	0.35227
"more than @@,@@@"	0.330586
"more than @,@@@"	0.327537
"more than @@@,@@@"	0.299984
"about @@@,@@@"	0.298368
"nearly @,@@@"	0.292965
"over @,@@@"	0.280506
"over @@,@@@"	0.277589
"nearly @@,@@@"	0.271699
"more than @@@"	0.26518
"over @@@,@@@"	0.244735
"about @@"	0.23936
"about @.@ million"	0.228283
"nearly @@@,@@@"	0.221346
"nearly @@@"	0.21878
"up to @@,@@@"	0.213925
"about @ million"	0.211635
"up to @,@@@"	0.210418
"over @@@"	0.208023
"More than @.@ million"	0.205588
"more than @@ million"	0.204524
"more than @ million"	0.204202
"One Million"	0.200702
"almost @@,@@@"	0.196541
"about @@ million"	0.19498
"more than one million"	0.192454
"more than @@"	0.183121
"almost @,@@@"	0.181705
"roughly @,@@@"	0.179459
"nearly @ million"	0.178682
"over @ million"	0.176331
"two million"	0.174779
"almost @@@,@@@"	0.174309
"less than @@@"	0.170991
"up to @@@,@@@"	0.166507
"less than @,@@@"	0.165674
"over @.@ million"	0.16535
"Another @,@@@"	0.164669
"Another @@@"	0.156838
"almost @@@"	0.156758
"up to @@@"	0.156507
"nearly @@ million"	0.151778
"over @@ million"	0.150633
"less than @@,@@@"	0.149791
"Nearly @.@ million"	0.145657
"six million"	0.1441
"more than @@@ million"	0.143475
"More than two million"	0.141671
"five million"	0.141153
"another @@,@@@"	0.140976
"three million"	0.139749
"Over one million"	0.13875
"nearly @@"	0.138635
hundred	0.137833
"over @@"	0.137715
"Four million"	0.137653
"roughly @@,@@@"	0.137095
"About one million"	0.137063
"close to @,@@@"	0.136908
"Seven million"	0.132903
"about @@@ million"	0.130707
"roughly @@@"	0.130374
"another @@"	0.129206
"another @@@,@@@"	0.127165
"More than three million"	0.123284
thousand	0.123249
"roughly @@@,@@@"	0.122682
"two dozen"	0.122621
"roughly @@"	0.122165
Six	0.122126
Fifteen	0.121884
"Over two million"	0.120751
"nearly one million"	0.120639
"About two million"	0.120373
Twelve	0.120291
"close to @@,@@@"	0.118413
"about @@ percent"	0.117992
"about @@ to @@"	0.117211
"almost @@ million"	0.115895
nine	0.115715
"up to @@"	0.114214
Five	0.114077
"over @.@@ million"	0.113391
"over @@@ million"	0.113296
"about @@.@ million"	0.113189
"Around @@@"	0.11303
"less than @@"	0.112881
"about @ percent"	0.112074
"nearly @@@ million"	0.111445
eight	0.108523
seven	0.107402
Thirteen	0.10722
ten	0.107063
"more than @.@@ million"	0.106891
"more than four million"	0.106753
"eight million"	0.106611
"almost @@"	0.106209
"Two hundred"	0.105816
"close to @@@"	0.104482
four	0.104293
Three	0.104129
"nine million"	0.103884
Sixteen	0.103427
"About three million"	0.102948
"first @@@"	0.102747
twenty	0.101975
Eighteen	0.100969
Eleven	0.100938
"almost @ million"	0.0986463
Fourteen	0.0984472
"up to @ million"	0.0979461
"about @@@ to @@@"	0.0976236
"other @@@"	0.0972047
two	0.0966051
"a few"	0.0965496
seventeen	0.0951752
Nineteen	0.0948434
forty	0.0947382
Thirty	0.0943724
"Three hundred"	0.0936413
"about @.@"	0.0931822
"more than @@@@"	0.0928968
"About @.@@ million"	0.0909963
dozen	0.0900736
"about one-third"	0.0891106
"about @.@ percent"	0.0887128
"Other @@"	0.0884161
one-third	0.0883275
"eight percent"	0.087744
"five percent"	0.0876437
slain	0.087171
"six percent"	0.0865861
"up to @@ million"	0.0858963
"about two"	0.0857657
Thirty-six	0.0847883
"Another @@ million"	0.0828756
"More than two"	0.0827943
"one third"	0.0827368
"about three"	0.0825429
"four percent"	0.0825378
Thirty-five	0.0813638
"about six"	0.0808579
million	0.0797369
eighty	0.078913
one-fifth	0.077733
"three percent"	0.0775791
"about five"	0.0775505
"about seven"	0.077211
"more than @"	0.0765961
"nine percent"	0.076568
"about two-thirds"	0.0765055
"more than one"	0.0764305
"one billion"	0.076216
"seven percent"	0.0761221
"Kosovar Albanian"	0.075686
"about four"	0.0752443
Fifty	0.0740963
"how many"	0.0737787
"About @@.@ percent"	0.0727843
"More than one-third"	0.0726456
"about eight"	0.072637
many	0.0725747
"two percent"	0.0725435
"less than @"	0.0724567
"about $@@ billion"	0.0693265
"five to @@"	0.0690902
"one percent"	0.0685603
"up to three"	0.0683021
Thirty-four	0.0681294
"Another two"	0.0678468
expatriate	0.0677774
"large number"	0.0675059
"half a dozen"	0.0673532
sixty	0.0673005
"another three"	0.0672259
"four to six"	0.0671258
"Nearly two"	0.0666397
Kosovar	0.0665487
"Sri Lankan"	0.0662721
"another five"	0.0660531
"other five"	0.0651161
half	0.0649957
"about $@@@ million"	0.0646982
"Another eight"	0.0640782
"about @"	0.0638487
two-thirds	0.0637182
"other two"	0.0632048
"nearly @"	0.0626094
"ten percent"	0.061787
"About one"	0.0612775
"eight to @@"	0.0611425
"Greek Cypriot"	0.0607475
"East Timorese"	0.0605671
"another four"	0.0604925
bpd	0.0602422
"More than two-thirds"	0.0602043
ha	0.060176
"about $@@ million"	0.0598951
Asian-American	0.0598079
))
("about @,@@@ acres" (desc 1762.56) (sims
"about @@,@@@ acres"	0.376801
"about @@@,@@@ acres"	0.369974
"more than @@,@@@ acres"	0.368229
"more than @,@@@ acres"	0.356694
"more than @,@@@ hectares"	0.301863
"about @@@ acres"	0.297758
"more than @@@,@@@ acres"	0.287988
"About @@,@@@ hectares"	0.277698
"more than @@,@@@ hectares"	0.254388
"more than @@@ hectares"	0.25324
"about @@@,@@@ hectares"	0.252141
"more than @@@,@@@ hectares"	0.224531
"million acres"	0.218493
"over @,@@@ hectares"	0.214961
acre	0.157242
swathe	0.135767
hectare	0.121619
acreage	0.0998927
clear-cutting	0.0910944
tract	0.0877676
expropriation	0.0867604
"square inch"	0.0862887
"about @,@@@ tons"	0.0828386
sq.km	0.0806174
"parcel of land"	0.0805585
"patchwork quilt"	0.0803419
"over @,@@@ tons"	0.0803104
ha	0.0775586
"million tons"	0.0745508
"square meter"	0.0744807
"more than @ million tons"	0.0734254
expanse	0.0708833
swath	0.0673903
Rai	0.0659645
"more than @@@ million tons"	0.0658874
km	0.0645449
kilometre	0.064039
"more than one-fifth"	0.0626975
"square mile"	0.0622857
"about @@@,@@@ tons"	0.061184
centimeter	0.0606557
"six tons"	0.0603965
"about @@ million tons"	0.0603527
"more than @@@ tons"	0.0598913
"square foot"	0.0590128
"about @@@ tons"	0.0571756
"about @@,@@@ tons"	0.0571329
"four million tons"	0.0571099
"piece of land"	0.0566008
"about @@ tons"	0.0562462
"about @.@ million tons"	0.0554646
"Twenty percent"	0.0552134
"one inch"	0.0544126
"more than @@ million tons"	0.0542654
"about three-quarters"	0.05203
feddans	0.051849
one-fourth	0.0509015
"more than @,@@@ tons"	0.0503723
"nearly one third"	0.050027
"about five percent"	0.0499686
leasing	0.049796
underbrush	0.0496943
usurpation	0.0493749
"more than @,@@@ pounds"	0.0493409
felling	0.0489041
Tuber	0.0487968
"over @@,@@@ tons"	0.0484073
"more than @@,@@@ yuan"	0.0481941
calorie	0.0476543
"natural state"	0.047268
"another @.@ percent"	0.0472211
paddy	0.0471765
harvesting	0.0467098
"coca crop"	0.0465842
"Seventy percent"	0.0463882
"less than five percent"	0.0456579
heretic	0.0454214
"nearly two-thirds"	0.045108
"Bankers Trust Corp."	0.0448114
"two boxes"	0.0445646
"one million tons"	0.0444704
"airplane ticket"	0.0443726
inundation	0.0443412
"About @ billion"	0.0435503
outbuilding	0.0434654
pillaging	0.0433294
"economic value"	0.0431645
"Seventy-five percent"	0.0426477
"Twenty-five percent"	0.0424532
"two tons"	0.0423687
tendril	0.0419968
"one share"	0.0417209
husk	0.041672
stubble	0.041652
"more than @.@ percent"	0.0415708
shredder	0.0415075
"roughly one-third"	0.0414926
Pompeii	0.0409754
"land area"	0.0409499
six-pack	0.0408796
hotspots	0.040872
sq.m	0.040835
"more than @@@,@@@ tons"	0.0407928
"soybean oil"	0.0407683
"one billion US dollars"	0.040563
"chemical analysis"	0.0402392
one-seventh	0.040232
"one ton"	0.0402317
"more than @ billion dollars"	0.0400933
))
("about @,@@@ kilometers" (desc 3434.23) (sims
"more than @@@ kilometers"	0.330733
"about @@@ km"	0.293074
"about @,@@@ miles"	0.258434
"about @@@ kilometers"	0.255888
"nine miles"	0.221898
"about @@ km"	0.207238
"about @@ kilometers"	0.205678
"about @@@ miles"	0.204672
"more than @,@@@ kilometers"	0.199257
"over @@@ kilometers"	0.197393
"hundred miles"	0.187772
"five kilometers"	0.182707
"about @ miles"	0.180849
"about six miles"	0.172375
"six miles"	0.170925
"more than @@@ miles"	0.163986
"about @@ miles"	0.158206
"Nearly @@@ miles"	0.158157
"eight miles"	0.157222
"three kilometers"	0.153849
"six kilometers"	0.151044
"eight kilometers"	0.1497
"about five miles"	0.148894
"seven miles"	0.14513
"one mile"	0.14163
"more than @@ miles"	0.140161
"less than @@ miles"	0.14002
"about two miles"	0.138653
"about @@@ meters"	0.136996
"more than @,@@@ miles"	0.136941
"about four miles"	0.12525
"four kilometers"	0.121719
"three miles"	0.117251
"four miles"	0.114965
"a few miles"	0.113426
"five miles"	0.113002
"about three miles"	0.112649
"a few kilometers"	0.108069
"two miles"	0.107675
"one kilometer"	0.10329
atoll	0.0821513
Drenica	0.0774784
"two kilometers"	0.076799
"up to @@ miles"	0.0754673
"hundred yards"	0.0738882
kilometer	0.0686508
frontlines	0.0660479
foothill	0.0657648
"about @@ meters"	0.0614256
epicenter	0.0604415
"about @@ yards"	0.0603329
"half mile"	0.0600615
"a few yards"	0.059877
"New Territories"	0.0584395
"two sections"	0.0562862
"about two hours"	0.0547672
"quarter mile"	0.0534176
"Mojave Desert"	0.0521859
"about @@@ yards"	0.0513023
"Pacific Ocean"	0.0509417
"Columbia River"	0.0501441
"Antelope Valley"	0.0497928
"Interstate @"	0.0493228
"state highway"	0.0491021
latitude	0.0486491
re-opening	0.0475097
militarization	0.0472368
archipelago	0.0467764
hotspots	0.0458272
"Highway @@"	0.0454302
"main road"	0.0446273
Andes	0.0443253
"cold wave"	0.0442911
"oil slick"	0.04422
"over @@@ meters"	0.043974
"Potomac River"	0.0437999
"east southeast"	0.0437038
"coastal plain"	0.043332
"low pressure"	0.0432282
"over @,@@@ meters"	0.0428619
"Delaware River"	0.0427778
"city block"	0.0426605
downriver	0.0422432
"south southwest"	0.0421059
ranching	0.0419369
"Ohio River"	0.0419224
inviolability	0.0418322
"one section"	0.0417868
"Route @"	0.041697
jut	0.0415601
"five meters"	0.0413398
Kaliningrad	0.0413358
equator	0.0412794
landfall	0.0410034
"Highway @@@"	0.0409513
km	0.0408049
I-@@@	0.040447
"Sea of Japan"	0.0403545
"a few hundred yards"	0.0403413
"Williamson County"	0.0402792
"Appalachian Trail"	0.040104
"about three hours"	0.0400787
))
("about @,@@@ miles" (desc 3165.7) (sims
"about @,@@@ kilometers"	0.258434
"about @@@ km"	0.246301
"about @@@ miles"	0.243306
"more than @@@ kilometers"	0.230566
"nine miles"	0.222575
"about @@ km"	0.203886
"about @@@ kilometers"	0.199069
"more than @@ miles"	0.181438
"hundred miles"	0.181287
"about @ miles"	0.173696
"about @@ miles"	0.172078
"five kilometers"	0.17007
"more than @@@ miles"	0.16768
"four miles"	0.164353
"Nearly @@@ miles"	0.163544
"eight miles"	0.160619
"seven miles"	0.154517
"six miles"	0.153696
"about two miles"	0.151629
"about six miles"	0.149963
"three kilometers"	0.149699
"about five miles"	0.145874
"eight kilometers"	0.143879
"about @@ kilometers"	0.142318
"over @@@ kilometers"	0.139272
"more than @,@@@ miles"	0.133994
"less than @@ miles"	0.133974
"one kilometer"	0.12919
"three miles"	0.127129
"a few kilometers"	0.126534
"a few miles"	0.121651
"six kilometers"	0.121452
"four kilometers"	0.121337
"about four miles"	0.119849
"two miles"	0.11675
"one mile"	0.110744
"up to @@ miles"	0.107832
"five miles"	0.104218
"about three miles"	0.103074
"hundred yards"	0.101466
"about @@@ meters"	0.094575
"more than @,@@@ kilometers"	0.0872015
"a few yards"	0.0829354
"half mile"	0.0827122
"quarter mile"	0.0785977
"about two hours"	0.0704289
"about three hours"	0.0637711
"about @@@ yards"	0.0637322
Drenica	0.0635933
"a few meters"	0.061065
"about @@ yards"	0.0602711
atoll	0.0582772
foothill	0.0547907
Lightyear	0.0520405
"two kilometers"	0.0514322
"Lake Ontario"	0.0514269
epicenter	0.05137
"about @@ minutes"	0.0513452
"about one kilometer"	0.0504555
"about @@ inches"	0.0500261
frontlines	0.0491781
"New Territories"	0.0483397
"a few hundred yards"	0.0479117
"Ohio River"	0.0467573
"two meters"	0.0465681
"city block"	0.0460573
"about @@ degrees"	0.0460151
gust	0.0454503
hotspots	0.0450977
landfall	0.0443874
Trincomalee	0.0438145
slapper	0.0437325
"east southeast"	0.0435515
"a few inches"	0.043381
"Highway @@@"	0.0431661
"almost $@ million"	0.0429486
turnpike	0.042509
"Antelope Valley"	0.0422304
"Westlake Village"	0.0417004
"low pressure"	0.0411966
"Hill Country"	0.0411792
"high pressure"	0.0409296
))
("about @,@@@ tons" (desc 2227.71) (sims
"more than @,@@@ tons"	0.318572
"over @@,@@@ tons"	0.307247
"about @@@ tons"	0.307017
"more than @@@,@@@ tons"	0.306361
"over @,@@@ tons"	0.305037
"about @@@,@@@ tons"	0.289559
"more than @@@ tons"	0.284351
"more than @ million tons"	0.281734
"about @@,@@@ tons"	0.280605
"more than @@,@@@ tons"	0.276037
"million tons"	0.245494
"over @@@,@@@ tons"	0.245453
"three tons"	0.24486
"about @@ tons"	0.240388
"more than @@ million tons"	0.238384
"one ton"	0.234037
"about @@ million tons"	0.224532
"two million tons"	0.220589
"six million tons"	0.219177
"over @@@ tons"	0.218258
"four million tons"	0.214741
"over @@ million tons"	0.211347
"about @.@ million tons"	0.210835
"five million tons"	0.209221
"more than @@@ million tons"	0.208411
"six tons"	0.201112
"three million tons"	0.185129
"one million tons"	0.181933
"more than @@ tons"	0.181503
"four tons"	0.1696
"two tons"	0.166389
"two pounds"	0.164871
"five tons"	0.162457
tonne	0.1568
"five kilograms"	0.150768
"one kilogram"	0.145648
ton	0.141317
consignment	0.125421
truckload	0.117863
bushel	0.11786
quantity	0.11656
"more than @,@@@ pounds"	0.113565
"about @@@ pounds"	0.110613
kg	0.107843
"more than @@@ pounds"	0.105052
Kilogram	0.103477
importation	0.103168
labeling	0.100948
"one ounce"	0.100181
"metric ton"	0.0971274
planeload	0.0888245
dollars-worth	0.0880112
importing	0.0850862
"about @,@@@ acres"	0.0828386
"about @@ pounds"	0.0827843
"waste material"	0.0802841
bale	0.0802131
fleck	0.0793984
"cubic meter"	0.0790178
Mt	0.0765794
kgs	0.0730183
sheaf	0.0696597
"About @@ per cent"	0.0679899
"one cup"	0.0668787
unloading	0.0668093
kilo	0.0659703
condensate	0.0656403
trainload	0.0649977
"two boxes"	0.0647204
"two sacks"	0.0647122
"about @@@,@@@ acres"	0.0643145
gram	0.0637746
ounce	0.0629294
"about @ pounds"	0.0620498
"more than @@ billion US dollars"	0.061595
armful	0.0615243
exportation	0.0614075
airdrop	0.0613819
"About @@,@@@ hectares"	0.0610435
"aircraft part"	0.0607493
hemoglobin	0.0604016
cu.m	0.0601883
"about @@,@@@ acres"	0.0595356
tritium	0.059226
planeloads	0.0589957
oversupply	0.0587184
"sea food"	0.0584387
using	0.0584045
weighting	0.0582175
"less than five percent"	0.0580882
sachet	0.0578038
"more than @.@ percent"	0.0568513
kernel	0.056509
speck	0.056444
"one pound"	0.0562256
"railway car"	0.0555169
packet	0.0546587
"rising prices"	0.0546519
"liquefied petroleum gas"	0.0543636
"about @@@,@@@ hectares"	0.0539171
"more than @@@ hectares"	0.0531593
"million acres"	0.0530793
megabits	0.052853
Ingestion	0.0527233
drying	0.0526072
platter	0.0523721
twenty-four	0.0518568
crate	0.0515648
"about three percent"	0.0509324
"Eighty percent"	0.0506591
"free radical"	0.0500105
carload	0.0499849
LNG	0.0496494
methanol	0.048557
"Sixty percent"	0.0482175
"export quota"	0.0481877
"more than @ billion dollars"	0.0481596
cache	0.0480593
granule	0.0480107
"Eighty-five percent"	0.047991
husk	0.0478683
pumping	0.0478045
Tonnage	0.0474226
vial	0.0472317
Made	0.0471804
one-fourth	0.0467992
pellet	0.0467695
shipload	0.0466364
"Over @@@ Million Dollars"	0.0460422
harvesting	0.0458289
"about one third"	0.0453752
quart	0.0453667
irradiation	0.0453637
"more than @@,@@@ hectares"	0.0453541
rations	0.0452928
one-seventh	0.0452336
by-product	0.0452172
"dairy product"	0.0450552
millimeter	0.0448636
Four-fifths	0.0445852
diskette	0.044562
one-fifth	0.0444301
adulteration	0.0443253
"diesel fuel"	0.044289
"roughly one-third"	0.0440746
"iron ore"	0.0440635
pallet	0.0440187
wastewater	0.0436425
gallon	0.043422
telomerase	0.0433746
"toxic waste"	0.0427855
knitwear	0.0427398
hectare	0.042555
spoonful	0.0425385
"more than @,@@@ hectares"	0.0424581
overproduction	0.0422018
"about @@@ acres"	0.0419967
"two million yuan"	0.0418471
"rocket fuel"	0.0416903
remained	0.04161
"Fifteen percent"	0.0414584
"more than @@@,@@@ hectares"	0.0413448
"more than @@@,@@@ yuan"	0.04126
"more than @.@ billion US dollars"	0.0411869
"about two percent"	0.04118
"about three-quarters"	0.0410613
"square inch"	0.0407552
piles	0.04073
"essential oil"	0.040663
mouthful	0.040576
jute	0.0405626
"chemical compound"	0.0404364
carbon	0.0402303
"raw meat"	0.0401253
kWh	0.0400922
residue	0.0400596
))
("about @,@@@ years ago" (desc 1272.02) (sims
"more than @,@@@ years ago"	0.247209
"more than @@@ years ago"	0.206458
"nearly @@ years ago"	0.205531
"over @@ years ago"	0.200838
"more than @@ years ago"	0.194859
"seven years ago"	0.189987
"four decades ago"	0.183265
"decades ago"	0.170072
"about @@ years ago"	0.168019
"nine years ago"	0.160193
"nearly two decades ago"	0.154711
"nine months ago"	0.153741
"almost @@ years ago"	0.150414
"about five years ago"	0.147398
"about three years ago"	0.144998
"eight years ago"	0.14286
"about two weeks ago"	0.140466
"six years ago"	0.1262
"three years ago"	0.121972
"Five days ago"	0.121388
"Ten years ago"	0.11809
"nearly two years ago"	0.118021
"about two months ago"	0.110913
"about four years ago"	0.110179
"five years ago"	0.109288
"about two years ago"	0.10776
"six months ago"	0.106168
"four months ago"	0.105418
"right here"	0.104531
"decade ago"	0.101952
"seven months ago"	0.101727
"four years ago"	0.0964899
"Five months ago"	0.0962005
"four weeks ago"	0.0949864
"less than two years ago"	0.0935815
"a few years ago"	0.0919921
"from @@@@ to @@@@"	0.0914829
"a few months ago"	0.0914676
"more than two decades ago"	0.090999
"eight months ago"	0.0887239
"more than three years ago"	0.0870653
"one year ago"	0.0864195
"less than @@ hours"	0.0849156
"three decades ago"	0.0825762
"three days ago"	0.0799398
"two decades ago"	0.0790728
"Over three decades"	0.0760176
"about @@ months ago"	0.0754158
"time ago"	0.0749071
"month ago"	0.0746229
"two months ago"	0.0745242
"nine days ago"	0.0721777
"nearly two weeks ago"	0.0703233
"over @@ months"	0.0694214
"from @@@@-@@@@"	0.069233
"months ago"	0.0685948
"three months ago"	0.0676375
"about three weeks ago"	0.0676333
"more than two years ago"	0.0675464
"five weeks ago"	0.0663743
"four days ago"	0.0653028
"more than @,@@@ years"	0.0627021
"a few decades"	0.0619865
"days ago"	0.0608976
"summers ago"	0.0605842
"three weeks ago"	0.0580707
"over @@@ years"	0.0548001
"two days ago"	0.0543828
"seasons ago"	0.0540849
"over @@ years"	0.0536439
"six weeks ago"	0.0534166
"Feb. @."	0.0497456
"almost two months"	0.0492871
"a few days ago"	0.0474542
"about two years"	0.0468642
"more than @@ days"	0.04684
"less than four months"	0.0463726
"one week ago"	0.0463193
"nearly @@ hours"	0.0460734
"nearly three years ago"	0.0457247
"six days ago"	0.0453802
"less than @@ years"	0.0433589
"over four years"	0.0433401
"about three hours"	0.0431648
"October @, @@@@"	0.0427243
"nine times"	0.0424937
"almost two weeks"	0.0420098
"sixth year"	0.0418279
"less than three weeks"	0.0414064
"nearly @@ months"	0.0413637
"Oct @@-@@"	0.041166
))
("about @.@" (desc 2732.76) (sims
"about @.@@"	0.305894
"about @@ billion"	0.18233
"more than six"	0.168344
"almost two"	0.161633
"over @"	0.156092
"up to @"	0.147674
"About @.@@ million"	0.146643
"almost @"	0.145389
"less than @@"	0.144253
"two to three"	0.138713
"less than @@@"	0.138472
"about @@@ million"	0.138408
"about @"	0.137912
"more than @@ billion"	0.135896
"about nine"	0.135084
"up to @@ million"	0.131787
"about @.@ billion"	0.127641
"less than @,@@@"	0.127308
"less than @"	0.124606
"Less than one"	0.120121
"About @ billion"	0.116671
"close to @@"	0.115789
"more than five"	0.115363
"nearly @"	0.108116
"over @.@@ million"	0.106982
"about @@ million"	0.10635
"more than eight"	0.106338
"eight million"	0.105029
"another @"	0.10443
"over six"	0.103606
"about @@,@@@"	0.102609
"four to five"	0.102234
"nearly @@"	0.100907
"two billion"	0.100692
"more than @"	0.100599
"five to @@"	0.0983323
"more than three"	0.0980917
"Nearly two"	0.0975975
"more than @.@ billion"	0.0967892
"over @@@ million"	0.0961191
"More than two"	0.0959009
"nearly three"	0.0958656
"about five"	0.0955998
"more than four"	0.0942362
"About @,@@@"	0.0931822
"three million"	0.0925445
"six billion"	0.0922253
"about @.@ million"	0.0918077
"six degrees"	0.0917532
"more than @@ million"	0.0914423
"about @@.@ million"	0.0906804
"more than seven"	0.0905948
"more than @@@ million"	0.0904045
"one billion"	0.0902376
"about $@.@@"	0.089773
"three to four"	0.0890805
"Nearly @.@ million"	0.08899
"over @@ million"	0.0888014
"about four"	0.0887307
"five million"	0.0884913
"nearly @@@ million"	0.0880738
"about eight"	0.0875544
"over @@,@@@"	0.0870838
"less than @@,@@@"	0.0865089
"up to @@@,@@@"	0.0860597
"about @@ to @@"	0.0850281
"over @,@@@"	0.0846364
"One Million"	0.0836367
"less than two"	0.0832205
"almost @@"	0.0828656
"Three billion"	0.0825241
"over @.@ million"	0.0822546
"nearly @@ million"	0.0816039
"about @@@,@@@"	0.0814849
"Over one million"	0.0810996
"About two million"	0.0810604
"up to @,@@@"	0.0808121
"about @ million"	0.0805703
"nearly four"	0.078935
"six million"	0.0784657
"About three million"	0.0784028
"another @@@,@@@"	0.0783653
"about seven"	0.0767559
"two million"	0.076727
"about three"	0.07654
"over @@@,@@@"	0.0757909
"six percent"	0.0757819
"More than @.@ million"	0.0750634
"about $@"	0.075031
"about $@@"	0.0749883
"over @@"	0.0748197
"up to five"	0.074255
"about @.@@ percent"	0.0740358
"nearly @@@,@@@"	0.073967
"Seven million"	0.0734683
"up to three"	0.0731261
"up to @@"	0.0725547
RM@	0.0724345
"roughly @@"	0.0718439
"more than @ billion"	0.0716556
"More than three million"	0.0702434
"two percent"	0.0695923
"about @@-@@"	0.0689238
"about @.@ percent"	0.0688737
"two to four"	0.0687459
"about $@@@"	0.0681748
"up to six"	0.0681009
RM@@.@@	0.0679109
"Another @@ million"	0.0671032
"eight percent"	0.0655641
"more than @@@,@@@"	0.0652683
RM@.@@	0.0647233
"six to eight"	0.064723
"three to five"	0.0644499
"nearly one million"	0.0636783
"almost @@@"	0.0635407
"nearly @@,@@@"	0.0635028
"another @ million"	0.0634716
"up to @@@"	0.0629339
"More than nine"	0.0622753
"More than two million"	0.0621032
"Four million"	0.0618126
"one cent"	0.0614847
nanograms	0.0613425
meticais	0.0610054
"almost @@ million"	0.0606878
"about two"	0.0606015
"about @@ degrees"	0.0605679
"five cents"	0.0605518
"nine million"	0.0603874
"more than one million"	0.0602805
"seven percent"	0.0602778
"another @@@ million"	0.0601729
"more than @@@ billion yuan"	0.0600133
"nine percent"	0.0596376
"over five"	0.0595396
"About one million"	0.0593482
"more than four million"	0.0590678
"up to @@,@@@"	0.0585448
"about six"	0.0574211
"one US dollar"	0.0570103
"five percent"	0.0564926
"up to four"	0.0564912
"eight to @@"	0.0562557
birr	0.0556157
"one and two"	0.0555034
"almost @@,@@@"	0.0550446
"eight cents"	0.0550173
"almost @,@@@"	0.0547746
"about @@ points"	0.0547504
"four percent"	0.054337
"over $@@"	0.0541622
"six to @@"	0.0538076
"nearly @,@@@"	0.053636
"About one"	0.0535246
"three percent"	0.0532528
"about @@ billion dollars"	0.0532195
"close to @@@"	0.0532007
"more than @.@@ million"	0.0531245
m.	0.0530828
"about $@@.@@"	0.0530292
"more than @ million"	0.0528424
"about @@ times"	0.0525515
"over four"	0.0523896
p@@	0.0520144
"Over two million"	0.0517439
shekel	0.0516706
"up to seven"	0.0516121
"one percent"	0.0501757
"over @ million"	0.049616
"about @@@ million dollars"	0.0495857
RM@@@	0.0489326
"nearly @@ points"	0.0485167
"seven to @@"	0.0485056
"about $@.@ million"	0.0479058
"another @.@ million"	0.0478073
"hydrogen sulfide"	0.0474072
"nine cents"	0.0472941
"one million yuan"	0.0472528
"nearly one"	0.0472224
arousal	0.0471386
"more than @@ yards"	0.0460447
"two cents"	0.0458838
"over seven"	0.0456805
hryvna	0.0452123
RM@@	0.0452076
"nearly @@ billion yuan"	0.0450177
Sen	0.0444097
"about @@ inches"	0.0442664
kwanza	0.0439586
"less than five"	0.0436248
"one million dollars"	0.0433493
hemoglobin	0.0433374
one-half	0.0426455
"one million tons"	0.0424897
billions	0.0423305
"about @@@ to @@@"	0.042325
"first @@@"	0.0417719
"about @.@ billion dollars"	0.0415796
"more than @@.@ billion yuan"	0.0414396
))
("about @.@ billion" (desc 1455.06) (sims
"About @ billion"	0.399142
"about @@ billion"	0.377018
"over @@@ million"	0.323178
"about @@@ million"	0.291191
"two billion"	0.285283
"more than @@@ million"	0.2711
"another @@@ million"	0.265912
"one billion"	0.264446
"about @@.@ million"	0.262913
"more than @@ billion"	0.254225
"nearly @@@ million"	0.242157
"up to @@ million"	0.240183
"more than @ billion"	0.239301
"Three billion"	0.230233
"About @.@@ million"	0.218964
"eight million"	0.20045
"more than @.@ billion"	0.186761
"over @@ million"	0.184271
"six billion"	0.182812
"Another @@ million"	0.181601
"more than @@ million"	0.179806
"three million"	0.178439
"nearly @@ million"	0.17588
"about @@ million"	0.172231
"One Million"	0.170102
"Four million"	0.165338
"six million"	0.155094
"nine million"	0.153378
"five million"	0.151139
"over @.@ million"	0.149515
"about @.@ million"	0.145747
"over @.@@ million"	0.144978
"About three million"	0.141327
"two million"	0.134723
"up to @@@,@@@"	0.134561
"about @ million"	0.132068
"another @ million"	0.130816
"About one million"	0.130283
"about @.@"	0.127641
"More than three million"	0.124474
"Seven million"	0.120687
"up to @ million"	0.116186
"Over one million"	0.115302
"more than @ million"	0.111181
"More than @.@ million"	0.110599
"more than one million"	0.108884
"less than @@@"	0.107666
"more than @.@ billion US dollars"	0.103072
"about @.@@"	0.101571
"another @.@ million"	0.101439
"up to @,@@@"	0.100604
"almost @@ million"	0.0977159
"More than two million"	0.0963986
"about eight"	0.0950879
"another @@@,@@@"	0.0950231
"less than @@,@@@"	0.0946949
"up to @@,@@@"	0.094389
"about @.@ million dollars"	0.0926586
"nearly one million"	0.0924316
"million yuan"	0.0904513
"Over @@@ Million Dollars"	0.0885165
"five billion yuan"	0.0879416
"more than @.@ billion dollars"	0.0860896
"one billion US dollars"	0.0855488
"less than @,@@@"	0.0852259
"Nearly @.@ million"	0.084961
"two billion US dollars"	0.0848628
"nearly @@@ million yuan"	0.0835593
"more than @@@ million US dollars"	0.0825985
"two billion yuan"	0.0824057
"over @@@,@@@"	0.0812446
"up to five"	0.0811041
"close to @@"	0.0802243
"over @@@ million US dollars"	0.0791348
"nearly @@@,@@@"	0.0787558
"more than @@@ million dollars"	0.0785964
"billion yuan"	0.0785585
"six billion yuan"	0.0784194
"Over two million"	0.0781893
"more than @ billion dollars"	0.0775248
"about @@@ million US dollars"	0.0774048
"more than four million"	0.0766991
"more than @@@ million yuan"	0.0764954
"over @ million"	0.0761399
"more than @@@ billion yuan"	0.0755449
"more than seven"	0.0751271
"About two million"	0.0747614
"more than @@ billion yuan"	0.0742683
"almost @,@@@"	0.0731599
"about @@@,@@@"	0.0731112
"Nearly two"	0.0730137
"more than @@@,@@@"	0.072209
"one million US dollars"	0.0708969
"seven billion yuan"	0.070733
"more than @@ billion dollars"	0.0698177
"Less than one"	0.0697612
"almost @@,@@@"	0.0695232
"over @.@ billion yuan"	0.0691081
"nearly @ million"	0.0689939
"nearly @@,@@@"	0.0689531
"over @,@@@"	0.0685679
"more than four"	0.068241
"about @@ billion yuan"	0.0673936
"more than eight"	0.0673147
"over @@ million US dollars"	0.0671276
"five million yuan"	0.0671092
"about three"	0.0668258
"about four"	0.0668162
"more than three"	0.0665662
"less than two"	0.0657451
"nearly @@ billion yuan"	0.0654109
"more than @.@@ million"	0.0647876
"about @"	0.0643953
"nearly @,@@@"	0.0643627
"roughly @@@,@@@"	0.0643053
"almost @@@,@@@"	0.0636922
"about @@ million dollars"	0.0630095
"two pitchers"	0.0625214
"close to @@,@@@"	0.0621871
Thirty-three	0.0621743
"about @.@ billion dollars"	0.061995
"roughly @,@@@"	0.0615599
"four billion yuan"	0.0614024
"about @@@ million dollars"	0.0613273
"less than @@"	0.0613065
"another @"	0.0611835
"over @@@ million yuan"	0.0608809
"one billion yuan"	0.060808
"about six"	0.0607244
"about seven"	0.0603681
"four to six"	0.0601847
"more than @@ million dollars"	0.060177
"more than @.@ billion yuan"	0.0601613
"over @@ million yuan"	0.060046
"more than @@ billion US dollars"	0.0598979
"tax income"	0.0598293
"up to @@@"	0.0597662
"almost @@@"	0.0596703
"two million yuan"	0.0596406
"over @@,@@@"	0.0596322
"more than @@,@@@ yuan"	0.0594397
"more than @@@,@@@ yuan"	0.0594248
"up to six"	0.0590863
"more than @@ million US dollars"	0.0587057
crore	0.0585818
"up to seven"	0.058511
"about @.@ billion US dollars"	0.0584461
"five to @@"	0.0578633
"more than @@.@ billion yuan"	0.0567515
"more than one billion yuan"	0.0566522
"over @@ million tons"	0.0564651
"about @@@ million yuan"	0.0563465
"one billion dollars"	0.0563456
"more than five"	0.0562576
"six to eight"	0.0561837
NZ	0.0560065
"three billion yuan"	0.0559653
birr	0.0557814
"almost $@@ million"	0.0557239
Belarusian	0.0553882
health-conscious	0.0550295
"About @@ per cent"	0.054958
"nearly $@@ billion"	0.0547574
"almost @"	0.0547174
"about @.@@ billion dollars"	0.0544598
"almost one-third"	0.0543312
"roughly @@@"	0.0542002
"one million yuan"	0.0541513
"two to four"	0.0532197
"more than @ billion yuan"	0.0532052
"turning away"	0.0531227
"about @@ billion dollars"	0.0528498
hryvnas	0.0528463
"about @@ to @@"	0.052702
"close to @,@@@"	0.0526816
"one million dollars"	0.051903
"more than six"	0.0517985
"less than five"	0.0510097
"about @ billion dollars"	0.050092
"roughly @@"	0.0499598
"roughly one-third"	0.0494143
"less than five percent"	0.049356
"almost $@@ billion"	0.0492868
billions	0.0490864
"more than @@ million yuan"	0.0488517
"two to three"	0.048654
"thousand dollars"	0.0486001
korun	0.0482825
"nearly @.@ billion yuan"	0.0482389
"almost @ million"	0.04811
"another @@ million dollars"	0.0480855
"small fortune"	0.0479004
"up to eight"	0.0476036
Sinhala	0.0470198
"about $@.@@ million"	0.0469254
"almost $@@@,@@@"	0.0466675
"three to four"	0.0465841
"about @@-@@"	0.0465804
"about five"	0.0465482
"five million tons"	0.0464647
))
("about @.@ billion dollars" (desc 3972.48) (sims
"about @@@ million dollars"	0.354381
"about @@ million dollars"	0.301584
"about @@ billion dollars"	0.272923
"about @.@@ billion dollars"	0.235272
"more than @ billion dollars"	0.231902
"about @.@ billion US dollars"	0.227866
"more than @@@ million dollars"	0.219325
"about @ billion dollars"	0.216296
"more than @@@ billion yuan"	0.208666
"more than @@@ million US dollars"	0.200659
"more than @.@ billion dollars"	0.196027
"one billion yuan"	0.193309
"five billion yuan"	0.191069
"two billion yuan"	0.187909
"more than @@ million dollars"	0.187713
"more than @@ billion dollars"	0.187335
"more than @.@ billion US dollars"	0.186594
"over @@@ million US dollars"	0.184617
"about @.@ million dollars"	0.181899
"over @@ million US dollars"	0.181368
"one billion dollars"	0.177304
"about @@.@ million dollars"	0.177256
"about @@ million US Dollars"	0.174673
"one billion US dollars"	0.174409
"nearly @@ billion yuan"	0.174209
"seven billion yuan"	0.173731
"about $@@ billion"	0.17106
"over @@ billion yuan"	0.17018
"Over @@@ Million Dollars"	0.169088
"about @@@ million US dollars"	0.168358
"more than @@@ million yuan"	0.16808
"nearly $@ billion"	0.168075
"almost $@ billion"	0.16806
"over @@@ million yuan"	0.166669
"nearly @@@ million yuan"	0.165864
"more than @@@,@@@ yuan"	0.16522
"six billion yuan"	0.163781
"about $@ billion"	0.162784
"four billion yuan"	0.16212
"two billion US dollars"	0.161913
"five million yuan"	0.160913
"more than @.@ billion yuan"	0.160634
"more than @@ billion yuan"	0.160508
"billion yuan"	0.159941
"over @@@ billion yuan"	0.159296
"more than @@ billion US dollars"	0.158668
"more than @@ million US dollars"	0.15823
"about $@.@ billion"	0.158146
"more than one billion yuan"	0.156682
"three billion yuan"	0.155402
"more than @@ million yuan"	0.154912
"over @@ million yuan"	0.154213
"almost $@@@ million"	0.154149
"over @.@ billion yuan"	0.152512
"about $@@@ billion"	0.151895
"one million US dollars"	0.150951
"about $@@@ million"	0.148105
"about @@@,@@@ dollars"	0.147317
"nearly $@.@ billion"	0.147161
"nearly $@@@ million"	0.146897
"about @@@ million yuan"	0.146573
"more than @ billion yuan"	0.145134
U.S.dollars	0.144095
"about $@@ million"	0.143982
"billion dollars"	0.143069
"almost $@@ million"	0.140167
"over $@@@ million"	0.139374
"nearly @.@ billion yuan"	0.13881
"nearly $@@ billion"	0.138567
"million yuan"	0.138049
"two million yuan"	0.136021
"about $@.@ million"	0.134896
"almost $@@,@@@"	0.134872
"almost $@@ billion"	0.134045
"over $@ billion"	0.130708
"nearly $@ million"	0.130035
"nearly $@@@ billion"	0.127947
"about $@ million"	0.127802
"a few million dollars"	0.125352
"about $@@.@ billion"	0.123933
"one million dollars"	0.12374
"three million yuan"	0.1235
"nearly $@.@ million"	0.122185
"about $@.@@ billion"	0.120926
"nearly $@@"	0.117558
"about $@@@,@@@"	0.117458
"about $@@,@@@"	0.11641
"nearly $@@ million"	0.115169
"about @@ billion yuan"	0.111633
"one million yuan"	0.108365
pataca	0.108047
"more than @@.@ billion yuan"	0.107346
"about $@@.@ million"	0.107153
"million dollars"	0.106343
"hundred thousand dollars"	0.10579
"hundred million dollars"	0.105163
euros	0.103376
"U.S. Dollars"	0.100982
"thousand dollars"	0.10059
billion	0.0997486
"over $@@ million"	0.0996568
ECUs	0.0968123
birr	0.0967831
shekel	0.0965465
"nearly $@@,@@@"	0.09367
"over $@@ billion"	0.0933874
"another @@ million dollars"	0.0929838
"almost $@ million"	0.0921715
"six percent"	0.0918434
"about $@@"	0.0901563
"about @@@ million"	0.0892866
ECU	0.0885586
"more than @@,@@@ yuan"	0.0885042
bpd	0.0883407
"about @ percent"	0.0880593
"about $@.@ trillion"	0.0875609
"less than @.@ percent"	0.087233
"about $@@@"	0.0871845
ringgit	0.0852908
tenge	0.0848294
"about @.@ percent"	0.0847006
"about one-tenth"	0.0840877
crore	0.0837862
"over $@ million"	0.0828898
"nearly $@@@,@@@"	0.0828625
"four percent"	0.0825888
"trillion dollars"	0.0819849
"one percent"	0.080633
dollars-worth	0.0802294
"almost $@@@,@@@"	0.0800524
"one million tons"	0.0798114
"nine percent"	0.079564
"over $@@@,@@@"	0.078513
"eight percent"	0.0783504
RM@@@	0.0771417
"about $@,@@@"	0.076002
"about $@"	0.0738078
"five percent"	0.0731904
tonne	0.073186
"two percent"	0.0730257
"Zimbabwe Dollars"	0.0729203
"up to @.@ percent"	0.0721878
"hundred dollars"	0.071681
"one billion"	0.0715545
ruble	0.071446
"RM@@@,@@@"	0.0712955
hryvna	0.0704768
"nearly $@,@@@"	0.0700751
kWh	0.069807
"three percent"	0.0690399
"about $@.@@ million"	0.0686057
"more than @.@ percent"	0.0684893
"Deutsche Mark"	0.0679515
"more than @@@ million"	0.0674176
"less than @"	0.0667054
"Tanzania Shillings"	0.0658443
"over @@@ points"	0.0650748
"seven percent"	0.0647746
"a few dollars"	0.0647344
"about @@ million"	0.0632796
one-seventh	0.063173
"less than one percent"	0.0628586
KUNA	0.0625209
"about @.@ billion"	0.061995
Pula	0.061816
"U. S.dollars"	0.0599892
RMB	0.0598252
"one third"	0.0594032
"nearly $@"	0.0585379
"About @@.@ percent"	0.0583016
"sum of money"	0.0571807
"record level"	0.0571175
"a few hundred dollars"	0.0570801
one-tenth	0.0565731
"over $@@"	0.0560303
"six billion"	0.0559102
"about four percent"	0.0558169
knighthood	0.0551923
dinar	0.0549458
"nearly @@ million"	0.0547585
"a few thousand dollars"	0.0544939
korun	0.0544346
"up to @@"	0.0542527
penny	0.0542375
"RM@@,@@@"	0.0542009
"more than @.@ billion"	0.0541123
Mln	0.0537047
hryvnas	0.0536569
"over @@ million"	0.0536512
"about @@@,@@@ tons"	0.0533587
"two million tons"	0.0528923
metical	0.052756
"nearly one-third"	0.0525454
"amount of money"	0.0525445
"billion over @@ years"	0.0524165
bale	0.0510873
"two billion"	0.0508768
"more than @@ million"	0.0508426
one-fifth	0.0507101
"over $@@@"	0.0505201
))
("about @.@ billion US dollars" (desc 1197.39) (sims
"about @@@ million US dollars"	0.37157
"two billion US dollars"	0.310851
"more than @.@ billion US dollars"	0.283436
"about @.@@ billion dollars"	0.282999
"over @@@ million US dollars"	0.282838
"more than @.@ billion dollars"	0.280894
"one billion US dollars"	0.278107
"more than @@@ million US dollars"	0.277532
"seven billion yuan"	0.254057
"more than @@ billion US dollars"	0.23714
"six billion yuan"	0.235456
"over @.@ billion yuan"	0.233105
"about @@@ million dollars"	0.231011
"five billion yuan"	0.228999
"about @.@ billion dollars"	0.227866
"nearly @@ billion yuan"	0.226981
"over @@ billion yuan"	0.225194
"more than @ billion yuan"	0.223891
"over @@ million US dollars"	0.221006
"more than @@@ million dollars"	0.220648
"about @ billion dollars"	0.219351
"more than @@ million US dollars"	0.217972
"about @@ million dollars"	0.215425
"nearly @@@ million yuan"	0.213254
"about @@.@ million dollars"	0.212879
"more than one billion yuan"	0.210723
"two billion yuan"	0.210651
"about @@@ million yuan"	0.210392
"three billion yuan"	0.210137
"over @@@ billion yuan"	0.207606
"more than @@ million dollars"	0.207142
"more than @.@ billion yuan"	0.204346
"four billion yuan"	0.202203
"Over @@@ Million Dollars"	0.19388
"about @.@ million dollars"	0.187383
"about @@ million US Dollars"	0.183903
"more than @@@ million yuan"	0.182968
"about @@ billion dollars"	0.178459
"more than @@ billion dollars"	0.17722
"one billion yuan"	0.175064
"over @@@ million yuan"	0.172959
"nearly @.@ billion yuan"	0.171068
"about @@@,@@@ dollars"	0.168676
"more than @@@ billion yuan"	0.166201
"one billion dollars"	0.165776
"more than @@ billion yuan"	0.164425
"more than @@.@ billion yuan"	0.156285
"over @@ million yuan"	0.153898
"five million yuan"	0.153602
"two million yuan"	0.145313
"hundred million dollars"	0.14361
"billion yuan"	0.143136
"three million yuan"	0.139978
"more than @ billion dollars"	0.13686
"about @@ billion yuan"	0.134736
"more than @@ million yuan"	0.124559
"almost $@@,@@@"	0.119014
"one million US dollars"	0.1184
"another @@ million dollars"	0.11806
"a few million dollars"	0.116173
U.S.dollars	0.113891
"about $@@.@ billion"	0.113122
"million yuan"	0.108238
"nearly $@.@ million"	0.104927
"nearly $@@@ billion"	0.102508
"more than @@@,@@@ yuan"	0.100653
"almost $@@ million"	0.0962752
"nearly $@@ billion"	0.0958838
"foreign direct investment"	0.0949986
"more than @@,@@@ yuan"	0.0874884
"nearly $@.@ billion"	0.0857195
"about $@.@@ billion"	0.0852404
korun	0.0842778
"up to @@.@ percent"	0.0838392
"Exchange Fund"	0.0828954
"over $@@@ million"	0.0824677
"almost $@@@ million"	0.0819103
"one billion"	0.0805314
"trillion dollars"	0.0799368
"about $@ billion"	0.07911
"about @@@ million"	0.0787946
"about $@@@ million"	0.0785988
"about $@@@ billion"	0.0783585
"over @@ million tons"	0.0771212
"three million tons"	0.0769674
"one million yuan"	0.0765556
dinar	0.0754813
"Deutsche Mark"	0.0740872
"about $@ million"	0.0737158
ECU	0.0728678
"about $@@ billion"	0.0726917
"billion dollars"	0.071691
kWh	0.0712489
"over $@ billion"	0.0710484
ECUs	0.0699914
"almost $@@ billion"	0.0678206
"over $@@ million"	0.0676527
"Mexican peso"	0.0666018
"barrels per day"	0.0662508
"up to @.@ percent"	0.0658644
"nearly $@ million"	0.0647098
"about $@.@ billion"	0.0633432
pataca	0.0615938
"less than one percent"	0.0610547
"about three percent"	0.0610286
FDI	0.0608673
"U. S.dollars"	0.0604003
"more than @@ million tons"	0.0599982
"about $@.@ trillion"	0.05868
"about @.@ billion"	0.0584461
"three million"	0.0582814
"more than @@ million"	0.0581511
"nearly $@@,@@@"	0.0578335
"nearly $@@@ million"	0.0577199
"over $@@@,@@@"	0.0571281
"majority rule"	0.0564801
ridership	0.0561256
"six billion"	0.0559839
"thousand dollars"	0.0558819
"about $@.@ million"	0.055746
"nearly $@ billion"	0.0557395
"eight percent"	0.0556357
"over @@@,@@@ tons"	0.0556227
"Tanzania Shillings"	0.0549883
"liquefied natural gas"	0.0544675
"Dinah Shore"	0.0542722
"About @@.@ percent"	0.0535738
throughput	0.0535403
"nearly $@@@,@@@"	0.0534728
bpd	0.0530684
"Special Economic Zones"	0.0530411
"more than @.@ percent"	0.05223
"investor interest"	0.0521717
"Zimbabwe Dollars"	0.0514799
"Army Air Corps"	0.0508436
"Field Poll"	0.0503798
"rate of growth"	0.0501615
defoliant	0.0500672
dollars-worth	0.0499367
"auction block"	0.0498252
toe-to-toe	0.049806
"less than @.@ percent"	0.0497825
falloff	0.0496793
"ultraviolet radiation"	0.0496765
"six million"	0.0492086
"Bay Networks"	0.0487528
"artificial insemination"	0.0484158
crore	0.0483777
"six million tons"	0.0480153
"one million tons"	0.0479171
"small fortune"	0.0477509
"almost $@ million"	0.047535
"Winning Colors"	0.0474674
"almost $@@@,@@@"	0.0473359
capsaicin	0.0472487
"chemical industry"	0.0470807
WPP	0.0467479
"nearly $@@ million"	0.0467292
Chinese-Indonesians	0.0466428
"live birth"	0.0461601
"four million tons"	0.0459177
receivership	0.0455577
"over $@@ billion"	0.045496
goaltenders	0.0454441
"over $@@,@@@"	0.0454212
"small change"	0.045346
RMB	0.0452996
"five million tons"	0.0451015
"pedestrian bridge"	0.0450527
USD	0.0450477
"nearly one-third"	0.0449894
"more than @@@,@@@ tons"	0.0448533
"Dubai World Cup"	0.0447437
"about @@ million"	0.0445254
"hundred thousand dollars"	0.0443759
"more than @@@ million"	0.0441089
"British Empire"	0.0439404
overpayment	0.0437953
knighthood	0.0436393
"almost $@ billion"	0.0435624
"stroke play"	0.043497
"about @.@ million"	0.0434815
"data link"	0.0433614
enlistee	0.0431362
"two meters"	0.0430745
"London Marathon"	0.0429228
birr	0.0429017
"less than @@,@@@"	0.0427616
"More than @.@ million"	0.0426876
"more than @.@ billion"	0.0426195
"over @@ million"	0.0425474
"special drawing rights"	0.0425298
"four sacks"	0.0424503
"more than @ billion"	0.0424501
"ultraviolet light"	0.0424284
"telephone booth"	0.0423904
"nearly $@,@@@"	0.0423817
"tax income"	0.0423114
"atomic bomb"	0.0422656
lycopene	0.0422082
))
("about @.@ million" (desc 10580.9) (sims
"More than @.@ million"	0.350592
"about @@ million"	0.347813
"about @ million"	0.33519
"about @@@,@@@"	0.324913
"more than @@ million"	0.324269
"more than @ million"	0.311323
"nearly @@ million"	0.309213
"over @@ million"	0.307017
"over @.@ million"	0.297047
"more than @@@,@@@"	0.294608
"two million"	0.294103
"about @@.@ million"	0.291311
"nearly @ million"	0.291
"over @@@,@@@"	0.284182
"over @ million"	0.282633
"about @@,@@@"	0.279189
"Nearly @.@ million"	0.277756
"One Million"	0.272624
"nearly @@@,@@@"	0.26932
"more than one million"	0.268148
"Seven million"	0.267473
"More than two million"	0.264813
"three million"	0.262963
"Over one million"	0.253537
"five million"	0.251535
"Four million"	0.251035
"six million"	0.240326
"about @@@ million"	0.238511
"over @@,@@@"	0.237969
"nine million"	0.230851
"eight million"	0.230633
"About one million"	0.23034
"nearly @@@ million"	0.229195
"About @,@@@"	0.228283
"About three million"	0.225677
"more than @@,@@@"	0.224255
"more than @@@ million"	0.220323
"About @.@@ million"	0.216906
"About two million"	0.216894
"More than three million"	0.209995
"nearly @@,@@@"	0.209893
"up to @ million"	0.207583
"almost @@ million"	0.207092
"up to @@ million"	0.204409
"almost @@@,@@@"	0.202964
"more than four million"	0.201905
"more than @.@@ million"	0.197871
"over @@@ million"	0.195886
"Over two million"	0.191056
"over @,@@@"	0.188013
"more than @,@@@"	0.184569
"almost @@,@@@"	0.183553
"up to @@@,@@@"	0.181758
"nearly @,@@@"	0.179031
"roughly @@@,@@@"	0.177411
"over @.@@ million"	0.176025
"about @@@"	0.173807
"another @@@,@@@"	0.170921
"less than @@,@@@"	0.165086
"nearly one million"	0.162205
"less than @,@@@"	0.161951
"up to @@,@@@"	0.157845
"almost @ million"	0.147881
"another @@,@@@"	0.14577
"about @.@ billion"	0.145747
"more than @@@"	0.142637
"another @ million"	0.1425
"up to @,@@@"	0.139635
"almost @,@@@"	0.135308
"over @@@"	0.134958
"roughly @,@@@"	0.133182
"about @@"	0.132112
"another @.@ million"	0.130333
"nearly @@@"	0.130239
"one billion"	0.129003
"roughly @@,@@@"	0.12538
"Another @@ million"	0.124243
"up to @@@"	0.122786
"Another @,@@@"	0.120691
"almost @@@"	0.117384
"close to @@,@@@"	0.112183
"less than @@@"	0.108607
"close to @,@@@"	0.105668
"more than @@"	0.105248
"about @@ percent"	0.103724
"up to @@"	0.102145
"more than @.@ billion"	0.101572
"over @@"	0.100629
"more than @ billion"	0.0997875
"less than @@"	0.0981167
"About @ billion"	0.0975056
Thirty-six	0.094529
"Another @@@"	0.0943909
"about @ percent"	0.0924718
Twelve	0.0924605
non-Jewish	0.0919379
"about @.@"	0.0918077
"nearly @@"	0.0905233
"about @.@ percent"	0.0894087
one-fifth	0.0879555
Eighteen	0.0877551
"first @@@"	0.0860742
million	0.0858504
non-Hispanic	0.0831096
"about three"	0.0824876
"about @@ to @@"	0.082387
"another @@@ million"	0.0821821
Thirty-five	0.0813554
"six billion"	0.0809962
one-third	0.0809577
"about one-third"	0.0808565
"roughly @@@"	0.0792269
Thirty-two	0.0791452
"About @@.@ percent"	0.0791393
"four percent"	0.0789451
"about @@ billion dollars"	0.0787916
"one billion US dollars"	0.0787224
"about @@ billion"	0.0781569
"nearly one-third"	0.0776712
expatriate	0.0769127
"eight percent"	0.0768082
"five percent"	0.0763767
Thirty-three	0.0760583
Eleven	0.0760059
"about four"	0.0760039
"six percent"	0.0759701
"almost @@"	0.0756404
Sixteen	0.0753264
"another @@"	0.0751233
"ten thousand"	0.0750357
"one third"	0.0749167
"about @@@ to @@@"	0.0748074
nine	0.0746376
"Two hundred"	0.0745095
Fifteen	0.074183
"close to @@@"	0.0737579
"up to seven"	0.07341
"about five"	0.0732241
"two dozen"	0.0720288
"roughly @@"	0.0716965
Six	0.0715993
"up to six"	0.0715414
seventeen	0.0712911
eighty	0.0708921
"about one-tenth"	0.0707626
"Around @@@"	0.0704634
Thirty-nine	0.0702704
"Three hundred"	0.0701599
"More than two"	0.0695476
bpd	0.0694872
"Seventy percent"	0.0691324
"less than @"	0.0689652
ten	0.0688663
nonwhite	0.068617
"ten percent"	0.0684636
"one billion dollars"	0.0683722
"about six"	0.0682508
"middle class"	0.0682204
forty	0.0680909
"about one third"	0.0680277
seven	0.0678465
"Three billion"	0.0677828
"turning away"	0.0677349
"up to five"	0.0675413
eight	0.0674416
"two percent"	0.0673995
"about two"	0.0673429
"about two-thirds"	0.0667325
"about eight"	0.0664753
"more than six"	0.0663431
"seven percent"	0.0662273
"nine percent"	0.066092
"three percent"	0.0660438
"Nearly two"	0.0647513
Thirteen	0.0646879
"other @@@"	0.064178
"More than one-third"	0.0639613
"about @@@,@@@ tons"	0.063897
"nearly $@@"	0.0638247
Thirty	0.0635004
two-fifths	0.0632798
kWh	0.0629374
"more than @@@ billion yuan"	0.0628308
one-fourth	0.0626836
"About one"	0.0623199
Fourteen	0.0622265
"more than one"	0.0615209
"two billion"	0.0614124
"two billion yuan"	0.0606302
"more than seven"	0.0606141
Nineteen	0.0604573
Younger	0.0603003
"four to six"	0.0601724
Kosovar	0.0600835
"about $@.@ billion"	0.0598219
"six to @@"	0.0597568
"almost one-third"	0.0594523
"almost two-thirds"	0.0591923
one-quarter	0.0590737
"about @.@@ percent"	0.059059
))
("about @.@ million dollars" (desc 1179.36) (sims
"about @@.@ million dollars"	0.479889
"about @@@,@@@ dollars"	0.393361
"about @@@ million US dollars"	0.293002
"about @@ million dollars"	0.292368
"about @@ million US Dollars"	0.29223
"about @@@ million dollars"	0.25025
"about @.@@ billion dollars"	0.241165
"about @.@ billion US dollars"	0.187383
"about @.@ billion dollars"	0.181899
"about @ billion dollars"	0.172912
"about @@ billion dollars"	0.13814
"one million dollars"	0.121657
"million yuan"	0.10497
U.S.dollars	0.10301
"nearly @@@ million yuan"	0.102723
"two million yuan"	0.101146
"about $@.@ trillion"	0.0968254
"about @.@ billion"	0.0926586
"one billion yuan"	0.0915873
"one billion dollars"	0.0908826
"nearly @.@ billion yuan"	0.0895108
"over @@ million yuan"	0.0892092
"three million yuan"	0.0891829
"billion over @@ years"	0.089031
"more than @@@ million dollars"	0.0882549
"more than @@@,@@@ yuan"	0.0882373
"over @@@ billion yuan"	0.0878186
"nearly $@.@ million"	0.0864457
"about @@@ million yuan"	0.0851322
"more than @@ million dollars"	0.0850735
"Over @@@ Million Dollars"	0.0844519
"nearly $@@"	0.0841337
"one million yuan"	0.0819765
"more than @@@ million yuan"	0.0807204
"five billion yuan"	0.0801405
"two billion yuan"	0.0798255
"five million yuan"	0.0778302
"about @@ billion yuan"	0.0776796
"another @@ million dollars"	0.0775862
"four billion yuan"	0.0757903
"over @@@ million yuan"	0.0752878
"one penny"	0.0751567
"more than @@ million yuan"	0.0750436
"hundred million dollars"	0.0737945
"about $@@@ billion"	0.0729614
"more than @ billion dollars"	0.071693
"almost $@@@,@@@"	0.0716005
"more than @.@ billion yuan"	0.070947
"over @.@ billion yuan"	0.0704821
"three billion yuan"	0.0697487
"Prince Abdullah Ibn Abdul-Aziz"	0.0694727
"more than @@ billion yuan"	0.0687392
ECU	0.0686359
"billion yuan"	0.0683329
"six billion yuan"	0.0681772
"about $@.@@ million"	0.0681536
"hundred thousand dollars"	0.0676275
"more than @ billion yuan"	0.0675689
"a few thousand dollars"	0.0675305
"nearly $@"	0.0675112
"seven billion yuan"	0.0667981
"over @@@ million US dollars"	0.0659042
"about @@@ million"	0.0653481
"almost $@@,@@@"	0.0641387
"more than one billion yuan"	0.0634364
"more than @@@ million US dollars"	0.0621424
"one million US dollars"	0.061926
Campas	0.0617162
"more than @.@ billion US dollars"	0.0610003
"nearly $@.@ billion"	0.0608913
"nearly $@@,@@@"	0.0607296
"nearly $@@ billion"	0.0604328
"over @@ billion yuan"	0.0602157
"nearly @@ billion yuan"	0.0595252
"trillion dollars"	0.0585191
"about $@.@@ billion"	0.0573976
"thousand dollars"	0.0570463
"nearly $@,@@@"	0.0568084
"more than @.@ percent"	0.0568044
"a few million dollars"	0.0568003
"over $@ billion"	0.0567295
"Pope Pius XII"	0.0567232
UNDCP	0.0564579
"about $@ billion"	0.0561259
"about $@@.@ billion"	0.056106
"about one-tenth"	0.0560248
metical	0.0556434
"almost $@@ million"	0.0551906
"RM@@@,@@@"	0.0548583
USD	0.054835
"Tanzania Shillings"	0.0546904
"about $@ million"	0.0544241
"small fortune"	0.0539812
RM@@@	0.0539707
"electrical device"	0.053729
"more than @@.@ billion yuan"	0.0537096
"Kenyan Government"	0.0533421
"over $@@"	0.0526147
"about $@@.@ million"	0.0524015
"about $@.@ million"	0.052248
"almost $@ billion"	0.0520123
"hundred dollars"	0.0518809
Eximbank	0.0518435
"nearly $@ billion"	0.0517992
"almost $@ million"	0.051777
"more than @@ million US dollars"	0.0511641
"over $@@@"	0.0510974
hryvnas	0.0510257
bleep	0.0510244
pataca	0.0508381
Sarid	0.0507701
crore	0.050711
"raw data"	0.0505216
Kilogram	0.0502571
"one billion US dollars"	0.0494692
Zyvox	0.0489769
"about @@.@ million"	0.0489335
"nearly $@@@ billion"	0.0488638
"nearly $@@@,@@@"	0.0486965
NHS	0.0477837
NZ	0.047506
"Sixty-five percent"	0.0472795
"line of credit"	0.0470661
"about $@.@ billion"	0.0468739
"nearly $@@@ million"	0.0468264
"million tons"	0.0467957
monies	0.0467838
"hard drug"	0.0466219
"up to @@.@ percent"	0.0465785
U.	0.0465472
Wetherell	0.0462298
SMIs	0.0462263
"nearly $@ million"	0.0461545
"more than @@@ billion yuan"	0.0460567
"nine yards"	0.0459996
"export credit"	0.0459449
EBRD	0.0459381
fillip	0.0457276
"more than @@@ kilometers"	0.0457067
SDB	0.0455931
"Field Poll"	0.045391
"Deutsche Mark"	0.0452107
pittance	0.0452079
PBA	0.0450839
"Vision @@@@"	0.0449981
telemedicine	0.0447849
"RM@@,@@@"	0.04444
"Virtue Party"	0.0442326
"key ring"	0.0442125
"about $@@ billion"	0.043993
"barrels per day"	0.0439243
"Islamic Development Bank"	0.0438427
"Uganda Shillings"	0.0437923
"million dollars"	0.0437004
"Port Klang"	0.0436635
"about three-quarters"	0.0436061
"over $@@ billion"	0.0435776
"sum of money"	0.0435206
OPIC	0.0434577
levity	0.0433846
IDB	0.0432536
"almost $@@ billion"	0.0431981
"more than @.@ billion dollars"	0.0430875
"reaction time"	0.0430385
"Kenya Shillings"	0.0429943
INEC	0.0429805
Os	0.0429708
"hypodermic needle"	0.0429541
meticais	0.0429204
earpiece	0.0428535
corrective	0.0427543
shekel	0.0427033
"billion dollars"	0.042244
CIRC	0.0421488
"water jug"	0.0421311
"Strategic Petroleum Reserve"	0.0421006
"one cent"	0.0418631
"credit line"	0.0417859
succor	0.0416953
"about @@@ tons"	0.0416667
PB	0.0415702
"six kilometers"	0.0414709
nevirapine	0.041467
"over $@@ million"	0.0414578
"almost $@@@ million"	0.0413945
"nearly $@@ million"	0.0410658
"over one third"	0.0410567
"U. S.dollars"	0.0410448
"tax income"	0.040993
"packing material"	0.0409649
"slush fund"	0.040876
"over $@,@@@"	0.0407705
ICBC	0.0406624
ACFTU	0.0405869
tenge	0.0405531
"hundred miles"	0.0405152
"up to @@@@"	0.0404908
"more than @@ billion dollars"	0.0403897
RM@@.@@	0.0402109
UNRWA	0.0402009
))
("about @.@ million tons" (desc 1859.14) (sims
"about @@ million tons"	0.406284
"four million tons"	0.353942
"more than @@ million tons"	0.344928
"more than @@@,@@@ tons"	0.34311
"about @@@,@@@ tons"	0.331344
"five million tons"	0.330771
"more than @@@ million tons"	0.326883
"two million tons"	0.324736
"three million tons"	0.320602
"over @@@,@@@ tons"	0.315291
"more than @@,@@@ tons"	0.301601
"over @@,@@@ tons"	0.296993
"million tons"	0.295854
"over @@ million tons"	0.294729
"more than @ million tons"	0.294727
"six million tons"	0.292902
"one million tons"	0.2925
"about @@,@@@ tons"	0.263954
"over @,@@@ tons"	0.221651
"more than @,@@@ tons"	0.214404
"about @,@@@ tons"	0.210835
"more than @@@ tons"	0.194365
"about @@@ tons"	0.188947
"one ton"	0.186662
tonne	0.176119
"six tons"	0.148469
"over @@@ tons"	0.146748
dollars-worth	0.145927
"about @@ tons"	0.135408
"two tons"	0.133583
"three tons"	0.126214
"four tons"	0.125577
ton	0.124996
Mt	0.120148
"five tons"	0.107947
kg	0.107554
bale	0.104859
"cubic meter"	0.0978118
"About @@ per cent"	0.0973635
"metric ton"	0.0956441
"more than @@ tons"	0.0944474
"one kilogram"	0.0942212
"more than @ billion dollars"	0.093275
consignment	0.0929082
kilo	0.090002
kWh	0.0868422
shipload	0.0858309
bpd	0.0858296
importation	0.0850187
"more than @ billion yuan"	0.0838722
"more than @.@ billion dollars"	0.0833762
"more than @@ billion US dollars"	0.0831512
"more than @,@@@ hectares"	0.083024
"over @@.@ percent"	0.0792094
"about three percent"	0.0790966
importing	0.078708
bushel	0.0783418
"five kilograms"	0.0781009
sheaf	0.0768032
"about @@,@@@ acres"	0.0764898
mw	0.0755748
"more than @@@ pounds"	0.0755479
"more than @@@,@@@ hectares"	0.0746272
"more than @@@ hectares"	0.0740834
"about @@@ million US dollars"	0.0737609
Kilogram	0.0730977
"one cup"	0.0727216
"a few pounds"	0.0691463
kgs	0.067474
"less than @.@ percent"	0.0668475
"about @@ pounds"	0.0663178
"about @@@,@@@ acres"	0.0660535
"four percent"	0.0659253
"about one third"	0.0656643
dumping	0.0655163
unloading	0.0646046
cu.m	0.064423
adulteration	0.0639907
"about @@.@ million dollars"	0.0635885
"Over @@@ Million Dollars"	0.0626121
glut	0.0614505
truckload	0.0614187
"about one percent"	0.0612501
gallon	0.0609251
"over @@@ billion yuan"	0.0602389
spoonful	0.0597346
overproduction	0.0592386
"barrels per day"	0.0583587
"less than five percent"	0.0570945
"almost two-thirds"	0.0570838
oversupply	0.0570769
"more than @,@@@ pounds"	0.0569067
Made	0.0566812
hectare	0.0562039
"more than @@@ million dollars"	0.0561927
"about @,@@@ acres"	0.0554646
"six percent"	0.0554045
one-tenth	0.0552143
"one tenth"	0.0549558
"two sacks"	0.0543668
pail	0.0543086
Tonnage	0.0542752
"less than one percent"	0.054243
"about four percent"	0.0541319
"more than @.@ percent"	0.0540606
"more than @@@ million yuan"	0.0540433
planeload	0.0538471
"about @@@ million"	0.053831
liter	0.0537304
"less than one-third"	0.0534476
one-fifth	0.0531103
"food grain"	0.0530814
"about five percent"	0.0529621
"about two percent"	0.0526292
Four-fifths	0.0523648
"about @ billion dollars"	0.0522973
"more than one-fifth"	0.052107
"seven billion yuan"	0.051711
"two pounds"	0.0514197
"more than @@,@@@ hectares"	0.0513715
"Over one million"	0.0505459
"two percent"	0.0503409
"two boxes"	0.0503202
beaker	0.0500454
"about @.@ percent"	0.0500167
"over @@ billion yuan"	0.0499875
"one ounce"	0.0498458
planeloads	0.0494758
pallet	0.0493119
"Mars Climate Orbiter"	0.0488919
"more than @.@ billion yuan"	0.0488181
"about one quarter"	0.0485638
"almost $@ billion"	0.0483541
"three percent"	0.0482713
thirds	0.0480174
kernel	0.0479776
"about @@ billion dollars"	0.0479662
"about @@ million dollars"	0.0477996
"More than one-third"	0.0477046
"export sale"	0.0473511
"more than @@ billion dollars"	0.0472652
"Seventy percent"	0.0470179
switchboard	0.0467542
"About @@.@ percent"	0.0467225
"eight percent"	0.0466894
one-eighth	0.046449
"more than @@@ million US dollars"	0.0459536
gemstone	0.0454915
pumping	0.0453547
"about $@.@ trillion"	0.0452149
"More than two-thirds"	0.0451775
"nearly one-fourth"	0.0450408
"Twenty-five percent"	0.0448178
"nine percent"	0.0447357
"more than @@ million dollars"	0.0446558
"one billion yuan"	0.0446209
"almost $@@@ million"	0.0446008
"about three-fourths"	0.0445517
gram	0.0444298
ethylene	0.0443573
"nearly @.@ billion yuan"	0.0442791
one-seventh	0.0442656
"roughly one-third"	0.0441946
"iron ore"	0.0435023
"liquefied petroleum gas"	0.0433043
"over one third"	0.0432393
exportation	0.042784
"synthetic fiber"	0.0426882
"one fifth"	0.0426781
pasteurization	0.0426521
"About @ billion"	0.0426092
"aircraft part"	0.0425944
"About @@,@@@ hectares"	0.0424267
transshipment	0.0422871
"fish meal"	0.0422191
dispersion	0.0420454
"about @.@ billion dollars"	0.0419893
"million acres"	0.0419827
"more than @.@ billion US dollars"	0.0419659
"treading water"	0.0418775
two-fifths	0.0416324
"over @.@ billion yuan"	0.0415411
harvesting	0.0413458
"about @@@ million dollars"	0.0411672
watt	0.0411211
ICS	0.0410515
"two billion US dollars"	0.0409321
"ten percent"	0.0408706
"almost $@@ billion"	0.0407813
"cashew nut"	0.0407324
"nearly one-fifth"	0.0406125
"nearly one third"	0.0405691
"rising prices"	0.0403278
"nearly two-thirds"	0.0400028
))
("about @.@ percent" (desc 18475.2) (sims
"about @ percent"	0.351462
"two percent"	0.272023
"four percent"	0.271983
"five percent"	0.268033
"seven percent"	0.266466
"one percent"	0.263421
"six percent"	0.263202
"three percent"	0.259837
"about @.@@ percent"	0.239734
"about @@ percent"	0.238416
"eight percent"	0.234865
"less than @.@ percent"	0.229674
"nine percent"	0.228407
"About @@.@ percent"	0.208484
"about two percent"	0.196054
"more than @.@ percent"	0.195309
"less than one percent"	0.181698
"about five percent"	0.18098
"about four percent"	0.177832
"less than @"	0.165345
"more than @"	0.164899
"about one percent"	0.163265
percent	0.163262
"nearly @"	0.162106
"ten percent"	0.161953
"nearly @@"	0.154891
"percentage point"	0.153101
"about one-third"	0.150781
one-fifth	0.15044
"almost @@"	0.148203
"about three percent"	0.147789
"up to @.@ percent"	0.146898
"one third"	0.143083
one-third	0.140767
"About @@ per cent"	0.139523
"about one-fifth"	0.129703
"almost @"	0.128987
"More than one third"	0.127662
one-fourth	0.124228
"nearly one-third"	0.123023
"one fifth"	0.121512
year-on-year	0.119162
"nearly two-thirds"	0.119009
one-tenth	0.118113
"growth rate"	0.115819
"about @@@ percent"	0.115811
"almost one-third"	0.113932
bpd	0.112157
"up to @@.@ percent"	0.110756
"nearly @@ points"	0.109663
thirds	0.109454
"one sixth"	0.108767
"about $@@@ million"	0.106468
"roughly one-third"	0.10552
"More than one-third"	0.105482
tonne	0.1051
"over @@@@"	0.104947
"one tenth"	0.104389
"more than @@"	0.104116
"about two-thirds"	0.103765
"about $@ billion"	0.103468
"about one third"	0.101875
centavo	0.101162
"about @@@ million dollars"	0.100028
"over @"	0.0999797
"less than five percent"	0.0996611
"about $@@ billion"	0.0993749
"about @@ million"	0.0983165
"more than @@@ billion yuan"	0.0982119
"lower than"	0.0980881
two-thirds	0.0970406
"about one-fourth"	0.0968564
"about one-quarter"	0.0958073
"roughly @@"	0.0952415
tenth	0.0950705
"less than @@"	0.09494
"nearly @@@ points"	0.0945621
"basis point"	0.0944111
"More than two-thirds"	0.0936169
"about @@@,@@@"	0.093462
"more than one-fifth"	0.0933951
"nearly one third"	0.0927327
barrel	0.0917212
"about $@@ million"	0.0912278
one-quarter	0.0910636
"gross domestic product"	0.0908996
"about @@ billion dollars"	0.0905541
dollar	0.0901047
"about $@.@ billion"	0.0899713
"more than @@ billion yuan"	0.0895004
"about @.@ million"	0.0894087
kg	0.0891255
"almost two-thirds"	0.0889547
"About @,@@@"	0.0887128
"more than @@ points"	0.0887052
"more than one-fourth"	0.0886047
percentage	0.0885298
fraction	0.0884458
"more than @@@ points"	0.0876189
"about $@@,@@@"	0.0873328
GDP	0.0856281
"about @@@ points"	0.0855148
"about $@@@"	0.0853098
"about $@ million"	0.0850218
"about $@,@@@"	0.0848846
"about @.@ billion dollars"	0.0847006
"one quarter"	0.083815
"roughly two-thirds"	0.0835926
"one cent"	0.0829282
"Fifty percent"	0.082301
"More than three-quarters"	0.0821919
"about one quarter"	0.0810209
one-seventh	0.0805854
cent	0.0798373
"about @@,@@@"	0.0796901
"about $@.@ million"	0.0794308
zero	0.078715
"another @.@ percent"	0.0776467
"about $@"	0.0776154
growth	0.0772832
proportion	0.0769019
"about three-quarters"	0.0767097
"more than @@@,@@@"	0.0764024
"less than one-third"	0.0763318
lowest	0.07599
ratio	0.0747557
"about @@@ million"	0.0744806
"about $@@"	0.0744327
"about @@ points"	0.0744089
"nearly $@ billion"	0.0743015
"More than @.@ million"	0.0735832
one-sixth	0.0732824
"over @@"	0.0732508
"about $@@@,@@@"	0.0728751
"Thirty percent"	0.0723613
"nearly one-fifth"	0.0721653
"U.S. Dollars"	0.072106
"Twenty percent"	0.0716976
ringgit	0.0715747
quarter	0.0711062
"about $@@@ billion"	0.0710525
euros	0.0706489
"about @@@"	0.0701701
U.S.dollars	0.0692293
highest	0.0691902
"over one-third"	0.0690201
birr	0.0688949
"about @.@"	0.0688737
three-quarters	0.0683175
"about $@.@@"	0.0676055
shekel	0.067425
"nearly one-fourth"	0.0672525
"Forty percent"	0.0670137
"about one-tenth"	0.0669754
two-third	0.0666826
"over one third"	0.0663414
pataca	0.0653722
"close to @@"	0.0653318
ha	0.0650388
"two cents"	0.0649277
"earnings growth"	0.0648992
ruble	0.0648496
"Over @@@ Million Dollars"	0.0647954
"inflation rate"	0.0646912
"one dollar"	0.0645729
kWh	0.0643657
"One Million"	0.0642911
"one billion yuan"	0.063908
"Eighty percent"	0.0633964
three-fourths	0.0633561
forecast	0.0628079
"Sixty percent"	0.062636
"nearly $@@ billion"	0.0626345
"up to @@"	0.0625485
"Fifty-five percent"	0.0621301
million	0.062043
two-tenths	0.0619965
"representative sample"	0.0619786
output	0.0617165
billion	0.0615686
"barrels per day"	0.0614372
"Up to @.@@ Percent"	0.0614154
earnings	0.0613384
"nearly $@@@ million"	0.061235
"budget deficit"	0.0611387
"Seventy percent"	0.061013
"over two-thirds"	0.060677
"gross national product"	0.06066
"more than @@,@@@"	0.0606351
deficit	0.0606053
amount	0.060589
two-fifths	0.0604878
contraction	0.0604472
"net profit"	0.0603293
"Nearly three-quarters"	0.0602236
"one billion dollars"	0.060165
fifths	0.0597491
"over @@ points"	0.0596329
"about @@ to @@"	0.0596276
added-value	0.0591777
))
("about @.@@" (desc 1654.86) (sims
"about @.@"	0.305894
"about @@ billion"	0.155125
"more than @@ billion"	0.154175
"About @ billion"	0.144358
"another @@@ million"	0.110646
a.m.	0.102542
"about @.@ billion"	0.101571
"more than @ billion"	0.0969052
"About @.@@ million"	0.0895566
"about @"	0.0842408
"about @@@ million"	0.0831291
"up to @@ million"	0.081779
"two billion"	0.0741004
"Less than one"	0.072222
"almost two"	0.0721063
"about @:@@"	0.0700753
"nearly @@@ million"	0.069366
"Another @@ million"	0.0689296
"one billion"	0.0666808
"about @@.@ million"	0.0660215
"almost @"	0.0659179
"less than @@@"	0.0659037
"less than @,@@@"	0.0652289
"about nine"	0.0646126
"one US dollar"	0.0637497
"About three million"	0.0621402
"three million"	0.0618498
"over @.@@ million"	0.061364
"more than @@@ million"	0.0597556
"nearly @@ million"	0.0575151
"About two million"	0.0566473
"close to @@"	0.0564901
"more than eight"	0.0552879
"more than @.@ billion"	0.0547563
"less than @@"	0.0542851
"over @@ million"	0.0533247
"over @.@ million"	0.0530184
billions	0.0520261
"Blair House"	0.0519943
"over @@@ million"	0.0512358
Solomons	0.05095
"nearly one million"	0.0506825
"about @@:@@"	0.0504397
"another @@@,@@@"	0.0498278
"Lincoln Memorial"	0.0492635
"less than @"	0.0492171
"another @"	0.047992
"Seven million"	0.0476162
"six billion"	0.0468708
"eight cents"	0.0457947
"National Stadium"	0.0455972
"Nearly two"	0.0448933
"more than four million"	0.044881
"eight million"	0.0448597
"nine cents"	0.0445336
"traffic circle"	0.0443879
"Over one million"	0.0442572
meticais	0.0440878
"Wedgwood Baptist Church"	0.0431554
"Three billion"	0.043028
"two to three"	0.0426293
"up to @@@,@@@"	0.0425596
"nine million"	0.0419567
l@	0.04191
"Furman University"	0.0416184
N.Z	0.0412823
"over @"	0.0408449
"about four"	0.0406837
"Flushing Meadows"	0.0403491
"Nearly @.@ million"	0.0400731
))
("about @.@@ billion dollars" (desc 1399.55) (sims
"about @@@,@@@ dollars"	0.293977
"about @@.@ million dollars"	0.293429
"about @.@ billion US dollars"	0.282999
"about @@@ million US dollars"	0.260917
"about @@@ million dollars"	0.260628
"about @.@ million dollars"	0.241165
"about @.@ billion dollars"	0.235272
"about @@ million dollars"	0.207515
"about @@ million US Dollars"	0.192679
"about @ billion dollars"	0.183929
"about @@ billion dollars"	0.15219
"more than @@.@ billion yuan"	0.145591
"nearly @@ billion yuan"	0.137769
"Over @@@ Million Dollars"	0.131528
"over @.@ billion yuan"	0.13014
"more than one billion yuan"	0.123138
"more than @@@ million dollars"	0.122021
"more than @.@ billion dollars"	0.119163
"more than @@@ million US dollars"	0.118578
"more than @@ million dollars"	0.117023
"two billion US dollars"	0.113858
U.S.dollars	0.110812
"over @@ billion yuan"	0.110183
"over @@@ billion yuan"	0.110171
"nearly @.@ billion yuan"	0.10957
"nearly $@.@ million"	0.102313
"over @@ million US dollars"	0.102191
"million yuan"	0.0991706
"one billion US dollars"	0.0991239
"one billion yuan"	0.0989961
"more than @ billion yuan"	0.0968353
"almost $@@@,@@@"	0.0959971
"more than @.@ billion yuan"	0.0959071
"seven billion yuan"	0.0948615
"more than @@@ million yuan"	0.0944309
"about $@.@@ billion"	0.0934462
"two million yuan"	0.0916003
"almost $@@@ million"	0.0915604
"six billion yuan"	0.0910609
"more than @.@ billion US dollars"	0.0907682
"more than @@@,@@@ yuan"	0.0892361
"five billion yuan"	0.0888807
"almost $@@ million"	0.0888288
"more than @@@ billion yuan"	0.0868942
"over @@@ million US dollars"	0.086384
"about @@@ million yuan"	0.0858888
"U. S.dollars"	0.0858335
"three billion yuan"	0.0841232
"one billion dollars"	0.0824468
"more than @@,@@@ yuan"	0.0821111
"about @@ billion yuan"	0.08165
"two billion yuan"	0.0806388
"one million yuan"	0.08052
"nearly @@@ million yuan"	0.0804743
"four billion yuan"	0.0785452
"more than @ billion dollars"	0.0777002
"five million yuan"	0.0769945
"another @@ million dollars"	0.0765781
"three million yuan"	0.0728936
"billion yuan"	0.0722488
"over @@ million yuan"	0.0716017
"almost $@@,@@@"	0.0713564
"more than @@ billion yuan"	0.070961
"about @@@ million"	0.0706725
"over $@@ billion"	0.070671
"less than @.@ percent"	0.0697887
"about $@.@@ million"	0.069189
"one million US dollars"	0.0689344
"more than @@ million US dollars"	0.0685757
"hundred thousand dollars"	0.0683266
"more than @@ million yuan"	0.0674511
"more than @@ billion US dollars"	0.0669407
"over $@@ million"	0.0655198
"nearly $@.@ billion"	0.064737
"small fortune"	0.0637496
"up to @@.@ percent"	0.063604
"Prince Abdullah Ibn Abdul-Aziz"	0.0632905
"a few million dollars"	0.0628212
"more than @@ billion dollars"	0.0626566
BSE-@@@	0.0619673
"nearly $@@"	0.0618536
knighthood	0.0610438
"over $@@@,@@@"	0.0607841
"thousand dollars"	0.0607553
"nearly $@@ billion"	0.0600092
"majority rule"	0.0597921
"about $@@.@ billion"	0.0586611
"one million dollars"	0.0585627
"more than @.@ percent"	0.0585347
"nearly $@@,@@@"	0.0578345
"three million tons"	0.0575004
"nearly $@ million"	0.0574328
"about $@ million"	0.0571618
"nine percent"	0.0564837
"over $@ billion"	0.0558329
ECU	0.0557696
"nearly $@@ million"	0.0557634
"million dollars"	0.0555613
"over @@@ million yuan"	0.0553353
"almost $@ billion"	0.0551245
"nearly $@@@,@@@"	0.0551227
"almost $@ million"	0.0545645
"over $@ million"	0.0545385
"about @.@ billion"	0.0544598
"a few thousand dollars"	0.0542503
"personal loan"	0.0542094
"Dubai World Cup"	0.0540752
M.A	0.0539192
B.A	0.0536829
"nearly $@"	0.0536811
"six percent"	0.053679
"about $@.@ million"	0.0525972
"Winning Colors"	0.0523776
laude	0.0520025
pittance	0.0517529
"about four percent"	0.0513192
kWh	0.0510953
"more than @@@,@@@ tons"	0.0506983
"four sacks"	0.0506726
"about $@ billion"	0.0506407
"million tons"	0.0505536
dollars-worth	0.0505202
"over $@@@ million"	0.0504475
"nearly $@ billion"	0.050316
"over @@@,@@@ tons"	0.050273
"Special Economic Zones"	0.0501103
"nearly one-third"	0.0499321
"pretax profit"	0.0497444
"trillion dollars"	0.0491674
"subversive activity"	0.0485264
"three million"	0.0484945
"nearly $@@@ million"	0.0484084
"barrels per day"	0.0481448
"over $@@,@@@"	0.048025
"Operation Desert Storm"	0.0480216
harangue	0.0480098
"live birth"	0.0476377
"More than @.@ million"	0.0476229
"a few dollars"	0.0476218
toe-to-toe	0.047567
"nearly $@,@@@"	0.0474188
"RM@@@,@@@"	0.047107
Chinese-Indonesians	0.0470652
"eight percent"	0.0469009
"hundred dollars"	0.0467913
ECUs	0.0465591
"Army Air Corps"	0.0462274
"over $@,@@@"	0.046124
shivering	0.0458185
"more than @@ million tons"	0.0457357
"four percent"	0.0455298
bpd	0.045446
"less than one percent"	0.0451839
"About @@.@ percent"	0.0450679
monies	0.0450591
earning	0.0449532
"about three percent"	0.044802
"Tanzania Shillings"	0.0447544
"about $@@@ billion"	0.0447521
"hundred million dollars"	0.0446875
taka	0.0446559
"about $@.@ billion"	0.0446342
"school girl"	0.0446284
"up to @.@ percent"	0.0445774
"record level"	0.0445341
"Oliver McCall"	0.0443174
M.D	0.0441291
"billion dollars"	0.0441132
"over @@@ million"	0.0438282
"sum of money"	0.0438239
"more than @ billion"	0.0437149
third-graders	0.0437073
"about $@@.@ million"	0.0436365
"tax income"	0.0434598
"Zimbabwe Dollars"	0.0434554
"nearly $@@@ billion"	0.043374
Weah	0.0433116
"Field Poll"	0.043208
Kwacha	0.0431314
"small change"	0.0430738
"form letter"	0.0429079
"high street"	0.0428901
"living wage"	0.0428529
"almost $@@ billion"	0.0427923
quarter-finalist	0.042702
franc	0.0426751
shekel	0.0426116
"bankruptcy protection"	0.042481
non-Serbs	0.0421268
buzzer-beater	0.0421167
"one dollar"	0.0419589
Oakmont	0.0419564
vasectomy	0.0418536
Wilhelm	0.0418132
one-seventh	0.0417159
"Mexican peso"	0.0415721
"Thunder Gulch"	0.0415363
NZ	0.0413741
"positive feedback"	0.0412058
"annual payment"	0.041174
))
("About @.@@ million" (desc 1156.6) (sims
"about @@.@ million"	0.36189
"over @.@@ million"	0.301094
"more than @.@@ million"	0.28762
"eight million"	0.281473
"Over one million"	0.272963
"over @.@ million"	0.267931
"nearly @@@ million"	0.25498
"up to @@ million"	0.254659
"More than two million"	0.252627
"nine million"	0.251118
"more than four million"	0.248772
"Nearly @.@ million"	0.239176
"Four million"	0.237891
"over @@ million"	0.229519
"About one million"	0.228981
"More than three million"	0.228561
"Seven million"	0.228134
"nearly one million"	0.227906
"more than one million"	0.221048
"about @.@ billion"	0.218964
"nearly @@ million"	0.217484
"about @.@ million"	0.216906
"six million"	0.216249
"five million"	0.214933
"almost @@ million"	0.212156
"over @@@ million"	0.206495
"three million"	0.203876
"about @@ million"	0.2034
"about @@@ million"	0.201084
"About two million"	0.198178
"More than @.@ million"	0.193356
"more than @@ million"	0.192796
"about @@ billion"	0.190884
"Over two million"	0.188347
"nearly @@@,@@@"	0.184685
"over @ million"	0.182262
"two billion"	0.17506
"About three million"	0.172275
"two million"	0.1713
"more than @@@ million"	0.171285
"another @ million"	0.167271
"About @ billion"	0.164797
"more than @ million"	0.163822
"One Million"	0.16161
"about @ million"	0.161601
"about @@@,@@@"	0.15958
"almost @ million"	0.154244
"Three billion"	0.152713
"nearly @ million"	0.151893
"roughly @@@,@@@"	0.149448
"over @@@,@@@"	0.147349
"about @.@"	0.146643
"up to @@@,@@@"	0.144878
"more than @ billion"	0.144869
"up to @ million"	0.144007
"more than @@@,@@@"	0.142868
"one billion"	0.138896
"another @@@,@@@"	0.138572
"more than @.@ billion"	0.137235
"another @@,@@@"	0.137067
"Another @@ million"	0.134411
"over @@,@@@"	0.131806
"about @@,@@@"	0.130974
"almost @@@,@@@"	0.129393
"nearly @@,@@@"	0.117619
"up to @@,@@@"	0.11122
"nearly @,@@@"	0.107418
"up to @,@@@"	0.106697
"over @,@@@"	0.106461
"almost @@,@@@"	0.105095
"roughly @,@@@"	0.105035
"six to eight"	0.104014
"more than @@ billion"	0.103873
"six billion"	0.103491
"more than @@,@@@"	0.103037
"less than @,@@@"	0.10301
"roughly @@,@@@"	0.101705
"another @@@ million"	0.099349
Thirty-five	0.0978266
"Around @@"	0.0955948
"another @.@ million"	0.0943806
"close to @,@@@"	0.0914464
"almost @,@@@"	0.0897051
"about @.@@"	0.0895566
Thirty-six	0.0884276
"up to five"	0.0884086
"Another @,@@@"	0.0880343
"less than @@,@@@"	0.085796
"Three hundred"	0.084374
"about @@ to @@"	0.0770396
Thirty-nine	0.0769807
Nineteen	0.0762186
Forty-two	0.0737367
"up to @@@"	0.0729592
Thirty-three	0.0725578
"first @@@"	0.0718706
"about @@@ to @@@"	0.0717277
"roughly @@@"	0.0709674
"up to seven"	0.0703685
"up to six"	0.0695357
"Kosovar Albanian"	0.067284
"more than three"	0.0657559
"ten thousand"	0.065212
"up to four"	0.0651346
"more than six"	0.0647873
Forty-four	0.0647405
"almost @@@"	0.0645804
Eighteen	0.0640577
"another nine"	0.064018
"more than @@@@"	0.0629325
seventeen	0.0627773
"other @@@"	0.0626858
forty	0.0622433
"more than four"	0.0622023
"Another @@@"	0.0616227
Fifteen	0.0604954
"more than five"	0.0601201
"about nine"	0.0595406
Thirty-two	0.0593194
"less than @@@"	0.0589372
"about five"	0.0587183
Thirteen	0.058662
"Nearly two"	0.0573948
"Other @@"	0.0562767
Transamerica	0.0559711
"Around @@@"	0.0559203
Forty-seven	0.0557268
non-Hispanic	0.0550187
"up to two"	0.0547426
"more than ten"	0.0546772
Ecuadorean	0.0538689
Packard	0.0529966
blinder	0.0529736
"about four"	0.0527519
"turning away"	0.0523589
Twelve	0.0522823
"More than two"	0.0520998
"about eight"	0.0519985
"up to eight"	0.0519796
"close to @@,@@@"	0.0517034
"Two hundred"	0.0516713
"first eight"	0.0514524
Sixteen	0.0512176
Fifty	0.0511548
"two to three"	0.051023
Sinhala	0.0501132
"less than @@"	0.0497195
E-ZPass	0.0495753
"another five"	0.0490819
lakh	0.0489865
"about six"	0.0488509
"about three"	0.0486602
Skoda	0.0483771
"six to @@"	0.0480189
Younger	0.0475295
"more than eight"	0.0475112
"About @@ per cent"	0.0468638
"less than two"	0.0465937
"about @"	0.0465367
"another six"	0.0461723
"roughly one-third"	0.0458198
"tax income"	0.0452484
"mentally retarded"	0.0447558
millon	0.0444448
"more than @@@ billion yuan"	0.0441195
"more than @.@ billion US dollars"	0.0440165
Tajik	0.0439249
Rwandese	0.0438939
"three to four"	0.043493
"African American"	0.0434369
"Ethnic Albanian"	0.0434348
"another three"	0.0433966
"nearly @@ billion yuan"	0.0429908
subcompact	0.0429752
Belarusian	0.0424214
"Another eight"	0.0420969
Ingush	0.0418901
Kosovar	0.0418734
costing	0.0414435
Bonner	0.0413933
"Israeli Arab"	0.0413538
"two to four"	0.0413268
Kashmiri	0.0411107
"about @@ billion yuan"	0.0411061
"close to @@"	0.0407331
"second hand"	0.0406181
"six billion yuan"	0.0406075
eighty	0.0405109
ATHOME	0.0404489
Maltese	0.0400845
))
("about @.@@ percent" (desc 1304.93) (sims
"less than @.@ percent"	0.270579
"about @.@ percent"	0.239734
"about four percent"	0.213785
"more than @.@ percent"	0.206318
"about five percent"	0.203146
"about two percent"	0.19298
"about three percent"	0.187153
"About @@.@ percent"	0.17466
"about one percent"	0.173921
"less than five percent"	0.170131
"about @ percent"	0.161708
"eight percent"	0.158989
"about one-fifth"	0.158249
"three percent"	0.155026
"one sixth"	0.154071
"seven percent"	0.153707
"two percent"	0.152928
"five percent"	0.151052
"nearly one-fifth"	0.146117
"one percent"	0.144586
"less than one percent"	0.143809
"four percent"	0.143367
"six percent"	0.140682
"one fifth"	0.135124
"more than one-fourth"	0.134268
"nine percent"	0.129403
"up to @.@ percent"	0.129043
"about one-fourth"	0.126764
"ten percent"	0.126011
"less than @"	0.125141
"about @@@ percent"	0.12141
"one tenth"	0.121054
"almost one-third"	0.118828
"About @@ per cent"	0.113108
"roughly two-thirds"	0.112644
"about one-tenth"	0.111718
"nearly one-fourth"	0.110898
"More than one third"	0.107361
"more than one-fifth"	0.10678
"Up to @.@@ Percent"	0.105992
"roughly one-third"	0.105337
"nearly two-thirds"	0.105283
one-seventh	0.105052
"about one quarter"	0.103796
"More than three-quarters"	0.0992136
one-eighth	0.0989693
"one third"	0.0989185
"nearly one third"	0.0978477
percent	0.0959406
"about one-quarter"	0.095748
one-sixth	0.0949108
"about one third"	0.0948268
"about $@.@@"	0.094823
one-fifth	0.0946449
"over one-third"	0.0942139
"close to @@"	0.0935359
"More than one-third"	0.09267
"Twenty-five percent"	0.0905289
two-third	0.0902096
"over @"	0.0900572
"nearly $@@"	0.0897067
"about one-third"	0.0894518
"about three-quarters"	0.0874271
"nearly one-third"	0.0871128
Four-fifths	0.0868856
fifths	0.0868089
one-fourth	0.0867177
one-quarter	0.0857585
"about two-thirds"	0.0837782
added-value	0.083737
tenth	0.0834483
one-tenth	0.08213
"less than one-third"	0.082119
"one quarter"	0.0817713
two-fifths	0.0803958
"Twenty percent"	0.079102
"about $@@@"	0.0784919
reais	0.0777734
"almost two-thirds"	0.0773755
"roughly @@"	0.0773009
"almost @@"	0.077257
"Sixty-five percent"	0.0764952
"less than @@"	0.0750134
"more than @@ billion yuan"	0.0747961
thirds	0.0744202
"about @.@"	0.0740358
"Sixty percent"	0.0737901
"over two-thirds"	0.0731819
"about $@@"	0.0713259
"More than three quarters"	0.0709575
"nearly @@ points"	0.0704978
"up to @@.@ percent"	0.0698955
"over $@@@ million"	0.0698
"about three-fourths"	0.0694743
"about @@ to @@"	0.0688478
"about @@ million tons"	0.0663217
"over one third"	0.0657249
"More than two-thirds"	0.0656705
"another third"	0.0648535
"over @@ million"	0.0644163
second-highest	0.0642494
"about $@,@@@"	0.0630587
"about $@.@ billion"	0.0616676
"about $@"	0.0610716
"representative sample"	0.0606199
"more than @@ yards"	0.0596063
"about @.@ million"	0.059059
"about $@@ billion"	0.0590214
"more than @ million tons"	0.0589485
"about $@.@ million"	0.0585963
three-fifths	0.0584528
Centigrade	0.0583276
bushel	0.0568364
"about @@ points"	0.0566859
"more than @"	0.0558694
"Fifteen percent"	0.054735
"almost @"	0.0545982
"more than three-fourths"	0.0537979
bpd	0.0535323
"a few thousand dollars"	0.05322
thousandth	0.05322
"admission fee"	0.0527442
"more than @@@ pounds"	0.0525118
"nearly @"	0.0523913
"about @@@ million dollars"	0.0523773
"more than @@,@@@ tons"	0.0523732
RM@@.@@	0.0523077
RM@.@@	0.0520564
"Forty percent"	0.0520064
slowest	0.05158
Biman	0.0515788
"up to @"	0.051249
"one penny"	0.0512045
"Eighty-five percent"	0.050782
surety	0.050543
"two to three times"	0.0504874
"more than @@@ billion yuan"	0.050461
"about @ billion dollars"	0.0502958
shekel	0.050269
"one dollar"	0.0501302
"more than @@ points"	0.0498618
instalment	0.0496765
overvaluation	0.0493726
"three quarters"	0.0491623
"nearly $@ billion"	0.0490159
"book value"	0.0488694
"about $@@.@@"	0.048661
"about $@ billion"	0.0485639
metical	0.0484952
"More than @.@ million"	0.0482379
"two billion US dollars"	0.0480678
"one cent"	0.0480597
"one cup"	0.047961
"over @@.@ percent"	0.047196
"over $@@ billion"	0.0470977
outperformance	0.0469144
"previous five years"	0.0467897
"more than @.@ billion yuan"	0.0467886
"two million tons"	0.0467254
"more than @@ million tons"	0.0466729
"About three quarters"	0.046628
"Over @@@ Million Dollars"	0.0463801
"almost $@@@,@@@"	0.0458047
divestment	0.0455933
write-down	0.04554
"about four times"	0.0451518
"hair follicle"	0.0449023
kWh	0.0448271
"about @@ billion dollars"	0.0445993
minus-@@	0.0445939
"over @@@,@@@ tons"	0.0441152
"stamp duty"	0.0439186
"user fee"	0.0438733
gusher	0.0431171
"Packard Bell"	0.0430943
"three cents"	0.0430056
pataca	0.0429601
"almost @@@,@@@"	0.0429212
"about $@@@ billion"	0.0428189
three-fourths	0.0427607
"entrance fee"	0.0427176
"death benefit"	0.0420131
"basis point"	0.0420055
pfennig	0.0416783
"retail price index"	0.0414267
"component part"	0.0414088
"five tons"	0.0413635
"Zimbabwe Dollars"	0.0412134
"fire sale"	0.0410022
tabulation	0.0409486
"over @@@ tons"	0.0409227
"more than @@@ yards"	0.0408567
"nearly @@@ million"	0.0406649
))
("about @/@ cup" (desc 2334.44) (sims
"about @ cup"	0.313297
"about @ tablespoons"	0.297051
"about @ cups"	0.261037
"One-third cup"	0.160299
tablespoon	0.157719
"about @ ounces"	0.135811
"one cup"	0.0923678
teaspoon	0.091623
spoonful	0.0910811
scallion	0.0826532
onion	0.0818308
tomatillo	0.0802599
"black olive"	0.0792273
biscotti	0.0767211
almond	0.0751691
Or	0.0734033
"green onion"	0.073042
pecan	0.0682244
chive	0.0680106
cucumber	0.0679365
shallot	0.0677667
hazelnut	0.0674956
"green olive"	0.0672092
leek	0.0668108
RHUBARB	0.0658746
"water chestnut"	0.0650945
frond	0.0650002
"cream cheese"	0.0636919
"green pepper"	0.0635155
cilantro	0.0621206
"red onion"	0.0613101
quart	0.0610121
mango	0.0606814
"plum tomato"	0.0598858
Parmigiano-Reggiano	0.0578137
ricotta	0.057707
pimento	0.0570204
artichoke	0.0565296
mascarpone	0.0565281
chard	0.0564586
"milk chocolate"	0.0564045
salami	0.0563887
lemon	0.0559418
fennel	0.055563
apricot	0.0553484
butterscotch	0.054705
meatball	0.0545634
coconut	0.0543041
asparagus	0.0541538
brioche	0.053566
curd	0.0534888
"bell pepper"	0.0531772
celery	0.0528668
Roquefort	0.0527178
"Up to @.@@ Percent"	0.0525879
crepe	0.0522525
praline	0.0519329
lettuce	0.0518037
nacho	0.0516413
porcini	0.0513563
yolk	0.0506161
"another third"	0.050516
morel	0.050428
dill	0.0503394
pineapple	0.050161
"red pepper"	0.0494271
teriyaki	0.0489902
"hard-boiled egg"	0.0487805
mozzarella	0.0485665
meringue	0.0483724
chervil	0.0483276
"macadamia nut"	0.0482686
"whipped cream"	0.0477044
Basil	0.047652
one-quarter	0.0475461
"pine nut"	0.047254
prosciutto	0.0470934
lemongrass	0.0468112
FETA	0.0463752
zucchini	0.0461749
"roast beef"	0.045967
"million tons"	0.0458983
toffee	0.0455843
scone	0.0451535
raisin	0.0450799
Masa	0.0449399
spinach	0.044913
avocado	0.0446664
custard	0.0445309
parsley	0.0444347
walnut	0.0441234
"cobalt blue"	0.0440556
tahini	0.0438397
kumquat	0.0437073
clam	0.0435935
jalapeno	0.043576
one-half	0.0435492
chutney	0.0432099
pistachio	0.0430623
marjoram	0.042714
"more than @ million tons"	0.0426134
tarragon	0.0423768
"garlic clove"	0.0421119
dollop	0.0420517
"egg yolk"	0.0417699
enchilada	0.041353
"dried fruit"	0.0406204
"more than @@,@@@ tons"	0.0405256
"pumpkin pie"	0.0403261
"vanilla bean"	0.0402322
cashew	0.040077
))
("about @:@@" (desc 2337.35) (sims
a.m.	0.131517
"about @@:@@"	0.125364
"Wedgwood Baptist Church"	0.0956468
cloudiness	0.0950397
"local time"	0.0832024
mid-day	0.0754383
"Centennial Olympic Park"	0.0723725
"Andrews Air Force Base"	0.0709461
"Michigan Speedway"	0.0702893
"about @.@@"	0.0700753
"Heritage High School"	0.0677026
"Mount Sinai Medical Center"	0.0664522
"Blair House"	0.0659524
earliest	0.0652347
"Waldorf-Astoria Hotel"	0.0641725
"polling booth"	0.0631669
"Joe Louis Arena"	0.0617904
dusk	0.061445
EDT	0.0606957
"Ben-Gurion Airport"	0.060315
"about @"	0.0594431
Palembang	0.0591757
"Logan Airport"	0.0584341
"Columbine High School"	0.0577862
"bus stop"	0.0569667
EST	0.0568886
sundown	0.0567202
"Columbine High"	0.056427
"Plaza Hotel"	0.0560944
Alamodome	0.0560053
"Busch Stadium"	0.0549813
"Miami International Airport"	0.0548911
Pinehurst	0.0547724
"Cinergy Field"	0.0547073
"World Trade Center"	0.0546349
"Market Square Arena"	0.0545944
"Heathrow Airport"	0.0531959
"National Tennis Center"	0.053167
"bus terminal"	0.053022
"Miami Arena"	0.0529491
"North Valley Jewish Community Center"	0.0528851
"Texas Motor Speedway"	0.0528464
"Methodist Hospital"	0.0524816
"Hofstra University"	0.0519231
"navy yard"	0.0512542
"railway station"	0.0510801
"Shrine Auditorium"	0.0503209
Talladega	0.0500432
"Kai Tak Airport"	0.0498183
"Turner Field"	0.0495955
"Paul Lawrie"	0.0495008
"Lone Star Park"	0.04938
"bomb site"	0.0493401
Longwood	0.0490939
"County Stadium"	0.0490223
"Augusta National Golf Club"	0.0490191
"La Guardia Airport"	0.0488709
"Lambeau Field"	0.04885
"Olympic Trials"	0.0487472
"high noon"	0.0481269
"Dorothy Chandler Pavilion"	0.0480053
"Wye Plantation"	0.0475395
guesthouse	0.0474342
NHIS	0.0473852
sunset	0.0472973
"Daytona International Speedway"	0.0472639
"Bafana Bafana"	0.047187
"Avery Fisher Hall"	0.046994
"nearly @@ points"	0.0468917
"Pearl Harbor"	0.0467971
"tourist hotel"	0.0467031
"bus station"	0.046569
Waldorf-Astoria	0.0465012
"Ritz-Carlton Hotel"	0.0464481
"Atlanta Motor Speedway"	0.0461742
"P.S @@@"	0.0461066
mid-night	0.0458336
"time of day"	0.0456828
"America West Arena"	0.0454589
"second tour"	0.04496
"MCI Center"	0.0448768
daybreak	0.0446789
"Holiday Inn"	0.0445629
"U.N. Headquarters"	0.044298
"Shea Stadium"	0.0439903
"Rivers Stadium"	0.0438193
"Reunion Arena"	0.0437045
"Parliament House"	0.0435182
"Hong Kong International Airport"	0.0433
"Valley Ranch"	0.0432749
"Jet Propulsion Laboratory"	0.0431674
"sixth grade"	0.0430377
Carnoustie	0.0428358
"Delta Center"	0.0428297
"Talladega Superspeedway"	0.0425118
"repair shop"	0.042489
"swimming event"	0.0424211
"Motor Speedway"	0.0423929
"Kiel Center"	0.0419788
"coffee shop"	0.0419647
"National Stadium"	0.041955
"Presidential Palace"	0.0419029
"waiting game"	0.0418991
"Pac Bell Park"	0.0418689
Astrodome	0.0416304
"San Francisco International Airport"	0.0414927
sledding	0.0414877
"Wrigley Field"	0.0414806
"Marine Midland Arena"	0.0414256
"Fort Bragg"	0.0414031
PictureTel	0.0412373
"Brooklyn Academy of Music"	0.0410834
"abortion clinic"	0.0409764
"Wright-Patterson Air Force Base"	0.0408132
"law practice"	0.0407626
"traffic circle"	0.0406136
"tea house"	0.0404372
anytime	0.0403285
poop	0.0402396
))
("about @@" (desc 55339.5) (sims
"about @@@"	0.279787
"more than @@@"	0.252597
"About @,@@@"	0.23936
"more than @,@@@"	0.2257
"more than @@"	0.220897
"nearly @@@"	0.215948
"over @@@"	0.20458
"more than @@,@@@"	0.196451
"nearly @,@@@"	0.194851
"about @@,@@@"	0.193558
"over @,@@@"	0.189973
"about @@@,@@@"	0.176067
"over @@,@@@"	0.168168
"more than @@@,@@@"	0.164665
"up to @@@"	0.162032
"nearly @@,@@@"	0.159802
"over @@"	0.15609
Six	0.154983
"almost @@@"	0.154274
"nearly @@"	0.152858
Five	0.151899
seven	0.151423
"another @@"	0.14959
eight	0.148132
"over @@@,@@@"	0.147098
"up to @@"	0.146502
"two dozen"	0.145446
nine	0.144213
"up to @,@@@"	0.143445
four	0.143339
"nearly @@@,@@@"	0.143176
"more than @ million"	0.140474
"about @ million"	0.139505
Three	0.138805
Fifteen	0.138398
"up to @@,@@@"	0.134075
"about @.@ million"	0.132112
"about @@ to @@"	0.131176
Twelve	0.128805
"a few"	0.127905
"Another @@@"	0.127824
"about @"	0.125421
"about two"	0.125299
"about five"	0.125163
"More than @.@ million"	0.124224
"roughly @@@"	0.124072
"almost @,@@@"	0.124025
two	0.123587
"more than @@ million"	0.12278
Thirteen	0.121797
"less than @@"	0.121788
"less than @@@"	0.121759
"about @@ million"	0.121746
Sixteen	0.120432
hundred	0.119661
"roughly @@"	0.11932
"about six"	0.118285
twenty	0.117575
"almost @@"	0.117374
"roughly @,@@@"	0.116883
Eleven	0.115878
Fourteen	0.115111
"One Million"	0.113899
"about three"	0.113712
"almost @@,@@@"	0.113112
"nearly @ million"	0.11039
"almost @@@,@@@"	0.109106
"More than two"	0.106851
"other @@@"	0.106569
"more than one million"	0.106308
Nineteen	0.105915
"two million"	0.104583
dozen	0.104401
Thirty	0.104322
"about eight"	0.103551
"about four"	0.101757
"over @.@ million"	0.101199
"Another @,@@@"	0.10119
"Other @@"	0.100729
"up to @@@,@@@"	0.10055
Fifty	0.0991595
Eighteen	0.0981775
"close to @@@"	0.0978526
"Over one million"	0.0977071
"over @@ million"	0.0976468
"half a dozen"	0.0974787
ten	0.0972201
forty	0.0970835
"nearly @@ million"	0.0969197
"roughly @@,@@@"	0.0965868
"Nearly @.@ million"	0.0965225
thousand	0.0964372
Thirty-five	0.095662
"about @.@"	0.0947603
"three million"	0.0932246
"less than @,@@@"	0.0931799
"more than @@@ million"	0.0929845
"first @@@"	0.0914926
"Two hundred"	0.0908795
Thirty-six	0.0906521
"More than three million"	0.090435
"Another two"	0.0898153
"five to @@"	0.0897124
seventeen	0.0888257
"about seven"	0.0883522
"over @ million"	0.0878256
"Four million"	0.087543
"six million"	0.0864056
"About one million"	0.0858882
"less than @@,@@@"	0.0858783
"another @@@,@@@"	0.0855486
"more than one"	0.0853015
"About one"	0.0846846
"about @@@ million"	0.0845048
"almost @@ million"	0.0837536
Thirty-one	0.0834648
"eight to @@"	0.0831503
"less than @"	0.0830385
"another @@,@@@"	0.082393
"up to three"	0.0823453
slain	0.0813368
"five million"	0.0810444
"about @@ percent"	0.0807757
Thirty-four	0.0805853
"More than two million"	0.0797637
many	0.07908
"Nearly two"	0.0781613
"another five"	0.0778841
"another three"	0.0777816
"Seven million"	0.0767507
"more than five"	0.0766426
"more than three"	0.0763619
"up to five"	0.0757646
"more than @@@@"	0.0746231
eighty	0.0736424
"more than six"	0.0734514
"more than @"	0.0716448
"other five"	0.0711645
"other two"	0.0708138
"eight million"	0.0703423
"South Korean"	0.0695788
"about @ percent"	0.0678068
"Sri Lankan"	0.0674882
sixty	0.066333
"how many"	0.06627
"another four"	0.0656037
"other four"	0.0642123
"other three"	0.0641376
million	0.063928
one-third	0.06214
"other seven"	0.0616988
Chinese	0.0614847
"first @@"	0.0594954
Younger	0.0593223
"other six"	0.0590558
half	0.0580689
French	0.0576107
student	0.0565361
Amish	0.0563638
woman	0.0560899
several	0.055874
"North Korean"	0.0557534
"over two"	0.0554681
Tibetan	0.0549377
Kurdish	0.0548634
Asian-American	0.0545789
"about $@@"	0.0544484
minority	0.0542713
Ukrainian	0.0540479
Turkish	0.0531906
"South African"	0.0530889
"More than one-third"	0.0530879
Cuban-American	0.0530321
"one third"	0.0528617
passenger	0.0522933
"large number"	0.0521287
Muslim	0.0519804
"about @.@ percent"	0.051817
"nearly @"	0.0517166
Catholic	0.0516553
Croat	0.0515944
"three percent"	0.0514172
christian	0.0510841
Korean	0.0506916
"about $@@@"	0.0500496
handful	0.0500194
"middle class"	0.0498275
"five percent"	0.0496804
two-thirds	0.0496138
none	0.0495589
Swedish	0.0495478
expatriate	0.0492225
"over three"	0.0491335
Irish	0.0488884
"six percent"	0.0488039
"about $@@@ million"	0.0487498
"won @@"	0.0485034
inmate	0.0485019
family	0.0484702
Greek	0.0483082
))
("about @@ billion" (desc 1018.91) (sims
"more than @@ billion"	0.443005
"About @ billion"	0.390898
"about @.@ billion"	0.377018
"two billion"	0.304945
"one billion"	0.267871
"another @@@ million"	0.255658
"about @@@ million"	0.236744
"more than @ billion"	0.230296
"more than @@@ million"	0.225006
"nearly @@@ million"	0.221875
"more than @.@ billion"	0.215574
"over @@@ million"	0.208169
"up to @@ million"	0.192837
"About @.@@ million"	0.190884
"Three billion"	0.183716
"about @.@"	0.18233
"about @@.@ million"	0.173914
"six billion"	0.163387
"about @.@@"	0.155125
"Another @@ million"	0.148502
"eight million"	0.138566
"three million"	0.131766
"another @ million"	0.129074
"more than @@ million"	0.126302
"Seven million"	0.119629
"about @@ million"	0.117453
"nearly @@ million"	0.117124
"Four million"	0.115191
"over @.@@ million"	0.115036
"five million"	0.109149
"over @@ million"	0.1071
"six million"	0.10661
"about @ million"	0.101802
"two million"	0.0921855
"One Million"	0.0903855
Belarusian	0.088988
"less than @@@"	0.0886375
"More than three million"	0.088384
"another @.@ million"	0.0851489
"Less than one"	0.0798738
"About one million"	0.0794257
"about @.@ million"	0.0781569
"nine million"	0.0762653
"less than @,@@@"	0.076006
"over @.@ million"	0.0759658
"more than @.@ billion US dollars"	0.0742385
"less than @@,@@@"	0.0731679
"About three million"	0.0729544
"up to @@@,@@@"	0.0723446
"more than @ billion dollars"	0.0719675
"another @@@,@@@"	0.0697016
"two billion US dollars"	0.0684397
"Over one million"	0.0677125
"close to @@"	0.0649133
"up to @@,@@@"	0.0628154
"more than @ million"	0.0617659
"up to @ million"	0.0614433
"more than one million"	0.0613521
"More than @.@ million"	0.060253
"Over two million"	0.056678
"almost @@ million"	0.0554397
"million yuan"	0.0545452
"about @@ billion yuan"	0.0545353
"About two million"	0.0537805
"more than @.@@ million"	0.0537767
"another @@ million dollars"	0.0534402
"more than four million"	0.0528765
"two to three"	0.0521605
"more than @@@ billion yuan"	0.0520803
"almost @,@@@"	0.0519626
"more than @@ billion US dollars"	0.0519048
"over @ million"	0.0515957
millon	0.0513587
"nearly $@.@ billion"	0.0504988
"nearly @@ billion yuan"	0.0498342
"three to four"	0.0498004
"more than @.@ billion dollars"	0.0497558
"about four"	0.0497358
"two pitchers"	0.0494966
"nearly @.@ billion yuan"	0.0493212
"more than @@@ million dollars"	0.0490738
N.Z	0.048406
"up to @,@@@"	0.0479498
"six billion yuan"	0.0470765
"paying back"	0.0454611
multibillion	0.0450013
pretax	0.0449646
"more than @@@ million yuan"	0.0448701
"up to five"	0.0447807
"more than @@ billion yuan"	0.0445323
"more than @@@ million US dollars"	0.0437874
multiyear	0.043536
"More than two million"	0.043428
"two billion yuan"	0.0434174
"billion yuan"	0.0427837
"about eight"	0.0427018
"nearly @ million"	0.0426886
multimillion	0.042403
four-night	0.0418819
"Ulster Unionist"	0.0417674
"more than @@.@ billion yuan"	0.0414541
Sevens	0.0412007
billions	0.0409839
rinderpest	0.0409726
"less than two"	0.0407401
"two cents"	0.0406737
"over @@ million US dollars"	0.0404568
"nearly $@@ billion"	0.0404091
))
("about @@ billion dollars" (desc 2178.68) (sims
"about @.@ billion dollars"	0.272923
"about @@@ million dollars"	0.198001
"more than @@ billion dollars"	0.187321
"more than @.@ billion dollars"	0.184967
"about @ billion dollars"	0.184219
"about @.@ billion US dollars"	0.178459
"about @@@ million US dollars"	0.178166
"about $@@ billion"	0.178063
"almost $@@ billion"	0.177523
"about @@.@ million dollars"	0.15844
"about $@@@ billion"	0.152711
"about @.@@ billion dollars"	0.15219
"about @@@,@@@ dollars"	0.149727
"more than @@@ billion yuan"	0.148955
"more than @.@ billion US dollars"	0.146759
"over @@@ billion yuan"	0.144528
"Over @@@ Million Dollars"	0.142573
"more than @@ billion US dollars"	0.140766
"nearly @.@ billion yuan"	0.140518
"about @.@ million dollars"	0.13814
"about $@@@ million"	0.137479
"six billion yuan"	0.136519
"over @@@ million US dollars"	0.136149
"about @@ billion yuan"	0.135207
"about $@.@ billion"	0.13443
"nearly $@@@ million"	0.133407
"over $@ billion"	0.132774
"about @@@ million yuan"	0.13263
"more than one billion yuan"	0.132242
"nearly $@.@ billion"	0.132067
"about $@ billion"	0.131117
"more than @ billion yuan"	0.131017
"about @@ million dollars"	0.130308
"nearly $@@ billion"	0.128817
"more than @@@ million US dollars"	0.127449
"nearly @@ billion yuan"	0.125965
"four billion yuan"	0.124393
"more than @ billion dollars"	0.124198
"more than @@ billion yuan"	0.123508
"more than @@@ million yuan"	0.123161
"seven billion yuan"	0.122363
"one billion dollars"	0.122137
"five billion yuan"	0.121287
"more than @.@ billion yuan"	0.121276
"nearly $@@@ billion"	0.120821
"about $@.@@ billion"	0.120753
"almost $@@ million"	0.120597
"nearly $@ billion"	0.120337
"over @@ billion yuan"	0.119987
"almost $@ million"	0.119224
"more than @@@ million dollars"	0.118043
"nearly @@@ million yuan"	0.117582
"almost $@@,@@@"	0.117301
"one billion yuan"	0.11618
"almost $@ billion"	0.114595
"more than @@ million US dollars"	0.113561
U.S.dollars	0.113445
"about $@@,@@@"	0.113115
"more than @@@,@@@ yuan"	0.111691
"about $@@ million"	0.111599
"a few million dollars"	0.111288
"one billion US dollars"	0.111244
pataca	0.108315
"about $@@.@ billion"	0.107842
"two million yuan"	0.10784
"three billion yuan"	0.106405
"about $@.@ million"	0.106367
"two billion yuan"	0.106119
"nearly $@@"	0.106066
"almost $@@@ million"	0.105366
"over @@@ million yuan"	0.104723
"billion dollars"	0.104143
"over @@ million yuan"	0.10411
"about $@ million"	0.101258
"more than @@ million dollars"	0.100984
"one million US dollars"	0.0999951
"about @@@ million"	0.0994728
"over $@@@,@@@"	0.0991351
"almost $@@@,@@@"	0.097923
shekel	0.0977353
"billion yuan"	0.0975259
"about $@@@,@@@"	0.096101
"over @@ million US dollars"	0.0952837
"about $@@.@ million"	0.0951108
"more than @@,@@@ yuan"	0.0937807
"over $@@ million"	0.0934528
bpd	0.0927433
"three million yuan"	0.0924767
"five million yuan"	0.0923232
"more than @@.@ billion yuan"	0.0919677
"about @.@ percent"	0.0905541
"one million yuan"	0.0902507
"nearly $@ million"	0.0891378
"over $@ million"	0.0890434
euros	0.0888081
"about @@ million US Dollars"	0.088443
ECUs	0.0879182
"nearly $@.@ million"	0.0878213
"less than @@"	0.0867575
"one million dollars"	0.0860139
"two billion US dollars"	0.0855223
kWh	0.0851939
ringgit	0.0849689
"about @@@,@@@ tons"	0.0837854
"nearly $@@ million"	0.0827333
crore	0.0810841
ECU	0.0808951
"six percent"	0.0808439
"more than @@ million yuan"	0.0806664
"about $@@@"	0.0804556
"Zimbabwe Dollars"	0.0802219
"about @ percent"	0.0796463
"about @.@ million"	0.0787916
"about @@ million"	0.0787591
"nearly $@@,@@@"	0.0780572
"about $@.@ trillion"	0.0777553
"hundred thousand dollars"	0.0775194
"over $@@@ million"	0.077338
"about $@.@@"	0.0766393
birr	0.0764311
"million yuan"	0.0753312
"thousand dollars"	0.0752017
tonne	0.0751178
"U.S. Dollars"	0.0747234
"four percent"	0.0740682
"more than @@@ million"	0.0738481
"nearly $@,@@@"	0.0729096
"nearly $@@@,@@@"	0.0727851
"one million tons"	0.0727105
korun	0.0711309
ruble	0.0706173
bale	0.0705891
"hundred million dollars"	0.0702756
"over @@,@@@"	0.0690534
"eight percent"	0.0688765
"two percent"	0.0684939
"seven percent"	0.0680704
"more than @@@,@@@"	0.0677454
"over @.@ billion yuan"	0.0674262
"nine percent"	0.0663334
"about $@.@@ million"	0.0651959
"five percent"	0.0643565
"tax income"	0.0642358
hryvna	0.0631332
"over @"	0.0629911
"trillion dollars"	0.0616754
"another @@ million dollars"	0.0609618
"less than @"	0.0607693
"nearly $@"	0.0604796
"about $@@"	0.060122
"a few thousand dollars"	0.0586605
"Tanzania Shillings"	0.058195
"over @,@@@ tons"	0.058028
"one billion"	0.0575725
"about $@"	0.0574356
"about $@,@@@"	0.0573415
"over @@ million tons"	0.056964
"three percent"	0.0566604
"over @@ million"	0.0564481
"over @@@ points"	0.0562319
"sum of money"	0.0561992
"More than @.@ million"	0.0561914
"RM@@@,@@@"	0.0553489
"over $@@ billion"	0.0551936
"less than @@,@@@"	0.0551488
"over $@@,@@@"	0.0550807
"more than @.@ percent"	0.0536113
"more than @"	0.0535716
"about @.@"	0.0532195
"more than @@ million"	0.0532159
"two million"	0.0529697
"over @@@,@@@ tons"	0.052946
"Seven million"	0.0528808
"about @.@ billion"	0.0528498
"nearly @@@ million"	0.051785
"less than @,@@@"	0.0514291
"more than @ billion"	0.0512407
"more than @ million tons"	0.0505463
"million dollars"	0.0504653
"more than one million"	0.0504263
"about @@,@@@ tons"	0.0501969
hryvnas	0.0500254
KUNA	0.0500169
"five million tons"	0.0498472
"hundred dollars"	0.0497643
"small fortune"	0.04944
"one penny"	0.0492986
"six million tons"	0.0486216
"almost @@"	0.0484188
"a few dollars"	0.0483968
"over @@@,@@@"	0.0482669
"about @.@ million tons"	0.0479662
"four million tons"	0.0476697
sq.m	0.0471505
"nearly @@ million"	0.047014
"One Million"	0.0466423
"six billion"	0.0464449
"kilowatt hour"	0.0463408
"two million tons"	0.0461068
"nearly @@@,@@@"	0.0460969
))
("about @@ billion yuan" (desc 956.642) (sims
"more than @ billion yuan"	0.450289
"about @@@ million yuan"	0.44038
"over @@ billion yuan"	0.420684
"four billion yuan"	0.400603
"nearly @@ billion yuan"	0.399671
"nearly @@@ million yuan"	0.392588
"six billion yuan"	0.38851
"over @@@ billion yuan"	0.388236
"more than one billion yuan"	0.38642
"over @.@ billion yuan"	0.375203
"five billion yuan"	0.364811
"more than @@@ billion yuan"	0.357468
"more than @@@ million yuan"	0.325625
"more than @@ billion yuan"	0.325381
"more than @.@ billion yuan"	0.323414
"nearly @.@ billion yuan"	0.322559
"over @@@ million yuan"	0.317229
"three billion yuan"	0.308853
"one billion yuan"	0.292416
"two billion yuan"	0.282161
"seven billion yuan"	0.278015
"over @@ million yuan"	0.273134
"more than @@.@ billion yuan"	0.268039
"over @@@ million US dollars"	0.266987
"a few million dollars"	0.263729
"five million yuan"	0.262415
"billion yuan"	0.261645
"three million yuan"	0.250842
"two billion US dollars"	0.250777
"more than @@ million yuan"	0.245539
"more than @@ billion US dollars"	0.241581
"more than @@ million US dollars"	0.241539
"more than @.@ billion dollars"	0.24102
"Over @@@ Million Dollars"	0.240746
"more than @.@ billion US dollars"	0.239971
"two million yuan"	0.238884
"more than @@@,@@@ yuan"	0.235651
"over @@ million US dollars"	0.235188
"more than @@,@@@ yuan"	0.230793
"one million US dollars"	0.223218
"more than @@@ million US dollars"	0.218756
"million yuan"	0.218602
"more than @@ million dollars"	0.218584
"one million yuan"	0.214681
"more than @@@ million dollars"	0.196836
"about @@ million US Dollars"	0.190985
"almost $@@ billion"	0.178038
"about @@@ million US dollars"	0.17651
"more than @ billion dollars"	0.176476
"almost $@@ million"	0.171597
"nearly $@.@ billion"	0.164277
"one billion US dollars"	0.159504
"Uganda Shillings"	0.159236
"more than @@ billion dollars"	0.15744
"Tanzania Shillings"	0.152331
"about $@@@ billion"	0.147998
VND	0.147951
"Zimbabwe Dollars"	0.145821
korun	0.144757
"nearly $@@"	0.142871
"one billion dollars"	0.14097
"hundred thousand dollars"	0.140405
"almost $@@@ million"	0.135502
"about @@ billion dollars"	0.135207
"about @.@ billion US dollars"	0.134736
"nearly $@"	0.133383
"nearly $@@@ million"	0.132919
"another @@ million dollars"	0.128202
"Kenya Shillings"	0.125681
"almost $@@,@@@"	0.124165
"over $@ billion"	0.122294
"about $@@ billion"	0.118924
"about $@.@@ billion"	0.117088
"thousand dollars"	0.115785
pataca	0.115447
"about $@ billion"	0.115297
"about $@@.@ billion"	0.115152
"nearly $@.@ million"	0.114944
hryvnas	0.114663
"nearly $@@,@@@"	0.11446
metical	0.114093
"about @ billion dollars"	0.11379
"about $@.@ trillion"	0.11321
"nearly $@@@ billion"	0.112871
"over $@@ billion"	0.111967
"about @.@ billion dollars"	0.111633
"nearly $@,@@@"	0.111309
"nearly $@ billion"	0.111049
"hundred million dollars"	0.110964
"over $@@ million"	0.110889
"over $@@@,@@@"	0.110091
"nearly $@@ billion"	0.109922
"almost $@@@,@@@"	0.109176
tenge	0.108037
"over $@@,@@@"	0.107992
"Deutsche Mark"	0.106635
"small fortune"	0.106378
"hundred dollars"	0.105508
"one million dollars"	0.105193
birr	0.104908
"about @@@ million dollars"	0.103981
"about @@ million dollars"	0.103872
dinar	0.101073
"over $@@@ million"	0.100671
meticais	0.100444
"about $@.@ billion"	0.0992621
"almost $@ million"	0.0991884
"RM@@@,@@@"	0.0989827
"about @@@,@@@ dollars"	0.0986053
"over $@ million"	0.0954748
"about $@.@ million"	0.0936452
crore	0.0936427
"nearly $@@ million"	0.0925563
"a few hundred dollars"	0.091887
shekel	0.0914321
"over $@@@"	0.0913813
"about $@@@ million"	0.0905691
U.S.dollars	0.0901251
ECUs	0.0896132
"over @@ million tons"	0.0883431
"one billion"	0.0883178
ECU	0.087344
KUNA	0.0860529
"a few thousand dollars"	0.0857562
"about $@@.@ million"	0.084029
"six billion"	0.0839116
"about $@ million"	0.083222
kwanza	0.0824401
rial	0.0824031
RM@@@	0.0821548
RMB	0.0820487
"about @.@@ billion dollars"	0.08165
"nearly $@ million"	0.0802987
"about $@@,@@@"	0.0801892
"sum of money"	0.0800722
"over $@,@@@"	0.0797224
"about $@.@@ million"	0.0783591
monies	0.0778798
"about @.@ million dollars"	0.0776796
"million dollars"	0.0770888
Pula	0.076316
"over $@@"	0.0758409
T.Shs	0.0737823
"Exchange Fund"	0.073737
"about $@,@@@"	0.0728347
"more than @ billion"	0.0696687
"nearly $@@@,@@@"	0.0695255
"about @@.@ million dollars"	0.0687572
"more than @@ billion"	0.0681406
"a few dollars"	0.0680372
"trillion dollars"	0.0676324
"about @.@ billion"	0.0673936
"billion dollars"	0.0657649
"embryonic cell"	0.0657488
"more than @@@ million"	0.0655633
"more than @.@ billion"	0.0648083
"nearly @@ million"	0.0627646
"about two percent"	0.0621826
"almost $@ billion"	0.0614318
shilling	0.0606054
one-seventh	0.0602348
"first CD"	0.0598395
"two billion"	0.0592783
"about $@"	0.0590624
"more than @@ million tons"	0.058195
trillion	0.057873
"about @@@ million"	0.0574077
RM@@	0.0560442
"Seven million"	0.0558955
zillion	0.0551523
"six million"	0.054663
"one penny"	0.0546028
"about @@ billion"	0.0545353
"electric current"	0.0538422
levity	0.0537561
cheque	0.053521
NZ	0.0531739
Botox	0.0527605
Geiger	0.051357
franc	0.0509891
lira	0.0504367
"currency unit"	0.0498474
croaker	0.049419
fizz	0.0490661
kWh	0.0488645
"three million"	0.048861
"About @@ per cent"	0.0483966
Kenema	0.0483193
IOU	0.0480496
"less than @"	0.0480083
"Malaysian Ringgit"	0.0478527
centavo	0.0478504
CITIC	0.0476997
gob	0.0474576
plowing	0.0472368
"about $@.@@"	0.0466828
"over @@@,@@@ tons"	0.0462452
"brain cell"	0.0461903
"less than @.@ percent"	0.0461155
UNDCP	0.0459523
))
("about @@ days" (desc 4361.77) (sims
"about four years"	0.142096
"about two years"	0.133158
"about three months"	0.129513
"five weeks"	0.119331
"more than three months"	0.118837
"six to eight weeks"	0.117489
"about three weeks"	0.113984
"about six months"	0.113365
"seven weeks"	0.112745
"four weeks"	0.111614
"four to six weeks"	0.110691
"about two weeks"	0.108226
"six weeks"	0.104784
"over @@ hours"	0.104447
"four months"	0.10396
"about @@ months"	0.102427
"a few months"	0.0998627
"eight days"	0.0986811
"a few days"	0.0984536
"up to six months"	0.0961279
"a few weeks"	0.0958352
"another @@ years"	0.0950577
"two to three years"	0.0943624
"more than @@ hours"	0.0942152
"eight weeks"	0.0941559
"nearly two months"	0.0941097
"more than @@ minutes"	0.0940725
"about three hours"	0.0929432
"eight months"	0.0928999
"six months"	0.0920065
"about @@ hours"	0.0902567
"about two months"	0.0901078
"five months"	0.0898349
"over @@ minutes"	0.0891792
"about two hours"	0.0880046
"three to five years"	0.0874127
"up to @@ years"	0.0854238
"three weeks"	0.0852304
"six days"	0.0851798
"about two minutes"	0.0823098
"more than two hours"	0.0819056
"a few years"	0.0813168
"more than three years"	0.081012
"five to @@ years"	0.0809778
"up to two years"	0.0809443
"Less than two weeks"	0.0808819
"more than two years"	0.0800167
"one week"	0.0798534
"three months"	0.0792211
"more than @@ days"	0.0790614
"five hours"	0.0785914
"seven hours"	0.0781201
"three to six months"	0.0778307
"up to @@ days"	0.0776654
"nine hours"	0.0775273
"about three years"	0.0770593
"more than three hours"	0.0768032
"five days"	0.0765909
"one month"	0.0764484
"two to three weeks"	0.0763707
"up to three months"	0.0761831
"about @@ years"	0.0757444
"more than two months"	0.0756187
"one year"	0.0755474
"about five minutes"	0.0749595
"two months"	0.0748756
"seven days"	0.0747179
"nine months"	0.0743965
"about six weeks"	0.0741621
"nine days"	0.0741531
"one hour"	0.0734711
"about @@ minutes"	0.0733846
"eight hours"	0.0723915
"about four hours"	0.0722657
"almost two weeks"	0.0713522
"two hours"	0.0711806
"a few hours"	0.0709605
"up to @@ months"	0.0706552
"ten days"	0.0705113
"more than four years"	0.0704953
"more than six years"	0.0704362
"about one hour"	0.069837
"four hours"	0.0697834
"nearly five years"	0.069745
"seven months"	0.0695412
"six hours"	0.0686152
"nearly @@ minutes"	0.068469
"a few minutes"	0.0680333
"less than three months"	0.0678058
"more than four hours"	0.0675621
Lightyear	0.0674793
"four days"	0.0668217
"three hours"	0.0662319
"about five hours"	0.0659957
"nine years"	0.0658725
"less than @@ minutes"	0.0657214
"another @@ days"	0.0656182
"more than five hours"	0.0656022
"nearly three months"	0.065594
"almost two hours"	0.0652705
"seven years"	0.0650932
"three days"	0.0649256
"another @@ minutes"	0.0648214
"less than @@ hours"	0.0644916
"nine weeks"	0.0641051
"up to three years"	0.0640551
"nearly @@ hours"	0.0640545
"less than two years"	0.0640332
"eight years"	0.0628236
"more than one year"	0.0612035
"Ten minutes"	0.060647
"less than two minutes"	0.0600799
"about five years"	0.0597922
"another six months"	0.059387
"another five years"	0.0593615
"ten years"	0.05895
"more than two weeks"	0.0586
"nearly two years"	0.0581643
"over two months"	0.0581622
"up to five years"	0.058035
"more than @@ years"	0.0579148
"over two hours"	0.0575894
"next @@ minutes"	0.0575849
"less than three years"	0.0574438
"another @@ months"	0.0569451
"about @ @/@ hours"	0.0566765
"almost two decades"	0.0558052
"five minutes"	0.0548999
"nearly @@ years"	0.0548549
"nearly two hours"	0.0543332
"two nights"	0.0537305
"more than @@ months"	0.0530129
"seven minutes"	0.0528209
"nearly four years"	0.0521953
"two minutes"	0.0518057
"six minutes"	0.0516913
"more than five years"	0.0511762
"another two years"	0.0510141
"next two months"	0.0506836
"more than five minutes"	0.050568
"more than three weeks"	0.0504881
"three minutes"	0.0504436
"one weekend"	0.0501619
"next two weeks"	0.0499376
"nearly three weeks"	0.0498067
"about six hours"	0.0497267
"eight minutes"	0.049592
"less than two months"	0.0490252
"nearly three years"	0.0487898
"less than five minutes"	0.0483544
"up to @@ minutes"	0.0482633
"nearly three hours"	0.0473197
"eight months ago"	0.0466684
"next @@ hours"	0.0463294
"another two weeks"	0.0462168
"more than @@@ years"	0.045798
"about @@ to @@ minutes"	0.0457544
"next six months"	0.0455219
"less than three weeks"	0.0452596
"next two days"	0.0451986
"nearly @@ months"	0.0448301
"up to two weeks"	0.0447781
"nearly four hours"	0.0444665
"another three years"	0.0444473
"one minute"	0.0443689
"next three weeks"	0.0436127
mid-@@@@	0.0434945
"less than three minutes"	0.0434692
"almost @@ years"	0.0434177
"nine minutes"	0.0432233
mid-June	0.0430253
"Four minutes"	0.0426318
"more than six months"	0.0425627
"up to @@ hours"	0.0425041
"next @@ days"	0.0423972
"a few meters"	0.0420397
"four decades"	0.0420276
"more than two decades"	0.0415627
mid-November	0.0414522
"a few decades"	0.0414295
"next four years"	0.0414256
"May, @@@@"	0.0407461
"almost two years"	0.0405166
"hundred years"	0.0404133
"almost three decades"	0.0403347
"over two years"	0.0401925
))
("about @@ degrees" (desc 2641.72) (sims
Centigrade	0.168639
Fahrenheit	0.124133
Celsius	0.119537
octave	0.088085
"six degrees"	0.0830351
freezing	0.0802566
"about @@ points"	0.0785404
half-inch	0.0747435
"about @@ inches"	0.0693468
"five cents"	0.0683479
warmest	0.0671356
warmer	0.0622304
"about @.@"	0.0605679
"nine cents"	0.0598688
Igloo	0.0594989
"nearly @@@ points"	0.0587661
"two cents"	0.0582544
"nine miles"	0.0581866
"seven miles"	0.0575484
"about six miles"	0.0570745
"nearly @@ points"	0.0567755
"about @@@ meters"	0.0555401
"Lake Ontario"	0.0555005
"four inches"	0.0542954
"one cent"	0.05412
"about @@@ points"	0.053873
"a few points"	0.0532753
"a few inches"	0.0529739
"two meters"	0.0522758
minus-@@	0.0520688
"Nearly @@@ miles"	0.0500251
"about @@@ km"	0.0493877
"two inches"	0.0493676
"eight cents"	0.0490464
"five kilometers"	0.0483821
styrofoam	0.0482963
"a few kilometers"	0.0480077
"eight miles"	0.0474365
C.	0.0473354
"more than @@@ miles"	0.0471592
"more than @@ points"	0.0460821
"about @,@@@ miles"	0.0460151
"two kilometers"	0.0458701
"more than @@ miles"	0.0453896
"a few yards"	0.0446177
"almost $@@ billion"	0.0443552
"low temperature"	0.0435149
"eight kilometers"	0.0434752
"more than @@@ points"	0.0430722
"hundred miles"	0.0424953
"about five miles"	0.0422303
"six miles"	0.0421847
"five meters"	0.0419315
"six kilometers"	0.0416851
"arm's length"	0.0415148
sleet	0.0412635
"Atlanta History Center"	0.0411783
"one meter"	0.0406821
readout	0.0405925
"about @@ km"	0.0405423
"three miles"	0.0402177
))
("about @@ hours" (desc 5011.77) (sims
"about three hours"	0.212206
"five hours"	0.189543
"about four hours"	0.187025
"eight hours"	0.183416
"more than @@ hours"	0.182138
"over @@ hours"	0.175655
"more than five hours"	0.174992
"nearly @@ hours"	0.164699
"four hours"	0.164324
"seven hours"	0.163033
"a few hours"	0.16298
"about five hours"	0.161872
"about two hours"	0.161104
"eight days"	0.158259
"six hours"	0.155968
"nine hours"	0.152539
"up to @@ hours"	0.15194
"about @@ minutes"	0.15087
"more than two hours"	0.147642
"about six hours"	0.147404
"six days"	0.14711
"three hours"	0.145945
"five days"	0.144674
"two hours"	0.140449
"more than four hours"	0.139802
"about @ @/@ hours"	0.131127
"a few weeks"	0.125848
"three weeks"	0.123443
"four months"	0.122871
"a few minutes"	0.120969
"about one hour"	0.120574
"more than three hours"	0.119839
"about two months"	0.118351
"nine months"	0.117547
"less than two hours"	0.117331
"over two hours"	0.117123
"about five minutes"	0.116992
"seven weeks"	0.114889
"four days"	0.114699
"up to six months"	0.114519
"less than @@ hours"	0.113763
"about six months"	0.113332
"three days"	0.11332
"about two minutes"	0.1131
"two months"	0.111894
"five weeks"	0.111767
"six weeks"	0.111531
"more than @@ days"	0.111067
"one month"	0.110378
"two days"	0.109373
"ten days"	0.109044
"a few days"	0.108611
"one hour"	0.108023
"more than three weeks"	0.107391
"nearly two months"	0.106638
"about @ hours"	0.105505
"four weeks"	0.102763
"more than two months"	0.10256
"seven days"	0.101846
"one week"	0.101359
"more than two years"	0.0999905
"nearly four hours"	0.0995254
"over three days"	0.0993462
"about two weeks"	0.098545
"nearly two weeks"	0.0978156
"five minutes"	0.0975452
"eight months"	0.0973945
"nine days"	0.0968997
"nine years"	0.0968459
"almost two hours"	0.0966377
"nearly @@ minutes"	0.0948657
"about @@ years"	0.0945153
"seven months"	0.0944915
"more than three months"	0.0939965
"about six weeks"	0.0939532
"six to eight weeks"	0.0932106
"another @@ years"	0.0922645
"about two years"	0.0921701
"almost two weeks"	0.0920659
"up to @@ minutes"	0.0915285
"over two days"	0.0915055
"a few months"	0.0906595
"five months"	0.090462
"another @@ minutes"	0.0903824
"about @@ days"	0.0902567
"one day"	0.0900421
"eight weeks"	0.0895437
"two minutes"	0.0891755
"nearly three months"	0.0866467
"more than one year"	0.086323
"three months"	0.0862546
"more than five minutes"	0.0862379
"up to three months"	0.0845663
"a few years"	0.083682
"two years"	0.0829682
"nearly three weeks"	0.0813029
"two weeks"	0.0810137
"more than @@ minutes"	0.0808097
"two nights"	0.0804887
"three decades"	0.0804469
"three minutes"	0.0799865
"Less than two weeks"	0.0796285
"three years"	0.0793079
"about four years"	0.0785529
"almost @@ years"	0.0785431
"about @@ months"	0.0785402
"about three weeks"	0.0782822
"six months"	0.0781779
"eight minutes"	0.0780548
"nearly two hours"	0.07758
"more than six months"	0.0775367
"almost two decades"	0.0771064
"nine minutes"	0.0763767
"four years"	0.0761808
"more than @@ years"	0.0761455
"Ten minutes"	0.0759768
"nearly three hours"	0.0755251
"two decades"	0.0733846
"seven years"	0.0733737
"seven minutes"	0.0728795
"one year"	0.0724687
"up to @@ months"	0.0724253
"six years"	0.0722857
"one weekend"	0.0720535
"six minutes"	0.0720511
"over six years"	0.0711388
"eight years"	0.0699091
"over @@ minutes"	0.0698136
"over three years"	0.0681889
"two to three weeks"	0.0676349
"over two years"	0.0673889
"about three months"	0.0668956
"more than four months"	0.0663927
"more than seven years"	0.0660599
"more than two weeks"	0.0660231
"more than three years"	0.0657658
"more than @@ months"	0.0652655
"more than two decades"	0.0645311
"over five years"	0.0642773
"nine days ago"	0.0639214
"another four years"	0.0638026
"less than @@ minutes"	0.0637284
"about three years"	0.063366
"over @@ years"	0.062962
"another three years"	0.0629411
"nearly @@ years"	0.062679
"three times"	0.0625076
"up to @@ days"	0.0622251
"about @ minutes"	0.0609135
"one minute"	0.0603054
"almost two months"	0.0602431
"about @@ to @@ minutes"	0.0600487
"more than @@@ years"	0.0600239
"three nights"	0.0585196
"ten years"	0.0581677
"three to five years"	0.0579653
"another two weeks"	0.0578909
"more than three years ago"	0.0577642
"nearly two decades"	0.057652
"another two years"	0.0573741
"another @@ months"	0.0573135
"two to three years"	0.0572525
"eight months ago"	0.0564443
"more than six years"	0.055353
"one night"	0.0553442
"up to two years"	0.0546113
"nearly @@ months"	0.0536179
"another six months"	0.053607
"three to six months"	0.0533854
"four times"	0.0530392
"Four minutes"	0.0529945
"up to three years"	0.0521339
"a few days ago"	0.0515295
"thousand years"	0.0508066
"over @@ years ago"	0.050586
"more than five years"	0.0501686
"Five times"	0.0497978
"nearly three decades"	0.0497609
"Five days ago"	0.0497318
"more than three decades"	0.0495062
"up to two weeks"	0.0492647
"less than five minutes"	0.0490177
"up to @@ years"	0.0489999
"more than four years"	0.048995
"four to six weeks"	0.0488937
"less than two years"	0.0487454
"nine weeks"	0.0481429
"one billion US dollars"	0.0479581
"one year ago"	0.0476288
"less than two minutes"	0.0472621
"less than three minutes"	0.0467421
"five years ago"	0.0461932
"from January to September"	0.0461143
"from @@@@ to @@@@"	0.0459339
"two days ago"	0.0458269
"over four years"	0.0458267
"four decades"	0.0457459
"nearly three years"	0.0456291
"seven times"	0.0451321
"over two decades"	0.0451253
))
("about @@ inches" (desc 3498.57) (sims
"about @ inches"	0.297087
"two inches"	0.247353
"four inches"	0.246884
"three inches"	0.239842
"more than @@ inches"	0.203701
half-inch	0.193239
"two meters"	0.189061
"one meter"	0.187713
"six inches"	0.184132
"up to @@ inches"	0.18101
"Up to @ inches"	0.17422
"three meters"	0.16652
"a few inches"	0.14982
"about @@ meters"	0.144117
inch	0.134362
"five meters"	0.130782
millimeter	0.119614
"about @@ yards"	0.101803
"one inch"	0.100876
"nine miles"	0.0896617
"five kilometers"	0.0788711
"about @@@ meters"	0.0786379
centimeter	0.0779818
"about @"	0.076589
meter	0.0765576
"a few yards"	0.0760381
"two miles"	0.0725174
"two kilometers"	0.070305
"up to @"	0.0701721
"about @@ degrees"	0.0693468
"more than @@ miles"	0.0674214
"more than @@@ miles"	0.0664243
"nearly @@ points"	0.0656765
"six miles"	0.0654742
"about @@@ yards"	0.0654432
"one mile"	0.0647337
"a few points"	0.0645187
"eight miles"	0.064345
"about two miles"	0.0632724
"three kilometers"	0.0632438
"Three and Four"	0.063022
"one kilometer"	0.0627
"a few meters"	0.0622978
"four miles"	0.0619735
"about @@ points"	0.0613619
"three miles"	0.060685
splotch	0.0602819
m.	0.0602477
"a few thousand dollars"	0.0592663
intraday	0.0568634
"about five"	0.0566427
"about @@ times"	0.0558635
"half mile"	0.0557849
"a few hundred yards"	0.0530541
"about @@@ miles"	0.0519844
"seven miles"	0.0516891
"four to five"	0.0507464
"about @,@@@ miles"	0.0500261
Lightyear	0.0500072
"Two and three"	0.0493394
"old times"	0.0489802
"about @@ miles"	0.0488365
"eight kilometers"	0.0484358
"about @@@ kilometers"	0.0484266
wage-earner	0.04598
"two pitchers"	0.0455665
"four kilometers"	0.0452592
"about @@@ points"	0.0448923
"hundred yards"	0.0447712
"quarter mile"	0.0445868
co-funded	0.0444889
"about @.@"	0.0442664
"more than @@ points"	0.0438929
octave	0.0438928
"nearly @@@ points"	0.0438684
"positive feedback"	0.0437212
"over six"	0.0436412
"about @ miles"	0.0435978
inbounds	0.0434793
"two points"	0.0433034
"more than four"	0.0430599
"speeding ticket"	0.0425741
heavens	0.0424663
"five miles"	0.0422285
"more than @@@ points"	0.0421502
"a few pounds"	0.0418981
"more than @,@@@ kilometers"	0.0413072
"more than @,@@@ miles"	0.041146
"relative humidity"	0.041092
"a few kilometers"	0.0407566
"three points"	0.0406316
))
("about @@ kilometers" (desc 14530.9) (sims
"about @@@ kilometers"	0.330013
"about @@ miles"	0.285268
"about @@@ km"	0.240485
"about @@ km"	0.238568
"about @@@ miles"	0.235146
"about @,@@@ kilometers"	0.205678
"five kilometers"	0.204324
"six miles"	0.204286
"about @ miles"	0.197954
"three kilometers"	0.196113
"six kilometers"	0.18196
"a few kilometers"	0.181102
"about five miles"	0.180514
"seven miles"	0.17949
"nine miles"	0.179461
"a few miles"	0.179228
"eight kilometers"	0.1758
"about six miles"	0.169073
"five miles"	0.168963
"three miles"	0.162736
"more than @@@ kilometers"	0.162077
"four miles"	0.156684
"eight miles"	0.155533
"about two miles"	0.154804
"about @@@ meters"	0.153848
"four kilometers"	0.153648
"two miles"	0.152284
"over @@@ kilometers"	0.150837
"about @,@@@ miles"	0.142318
"two kilometers"	0.141975
"Nearly @@@ miles"	0.139201
"about three miles"	0.133299
"more than @@@ miles"	0.130799
"about four miles"	0.125708
"less than @@ miles"	0.124212
"hundred miles"	0.122652
"about @@@ yards"	0.121994
"one kilometer"	0.121023
southwest	0.119071
"more than @@ miles"	0.116008
"about one kilometer"	0.115262
southeast	0.0970597
"one mile"	0.0963238
northwest	0.0925282
east	0.0910584
north	0.0909979
kilometer	0.090583
mile	0.0903818
"a few yards"	0.0869499
Northeast	0.0864519
south	0.0860452
"about @@ yards"	0.0804578
"a few meters"	0.0782216
"half mile"	0.0748308
"hundred yards"	0.0735605
"about @@ meters"	0.0711421
Malisevo	0.0704906
"two meters"	0.070434
"five meters"	0.0693162
"a few hundred yards"	0.068937
"up to @@ miles"	0.0639177
"more than @,@@@ miles"	0.0628583
"Suva Reka"	0.0610279
highway	0.0607968
stronghold	0.0591814
latitude	0.0586756
"quarter mile"	0.0562786
Drenica	0.0560324
"a few inches"	0.0557453
"main road"	0.0554726
"about two hours"	0.0551224
"Pacific Ocean"	0.0545756
"Highway @@"	0.0534483
Reports	0.0534153
"one meter"	0.0533358
epicenter	0.0508319
"Indian Ocean"	0.0505919
"supply route"	0.0491344
"two inches"	0.0489334
"about @@ minutes"	0.0480323
heliport	0.0479821
seabed	0.04665
"territorial water"	0.0465047
atoll	0.0459738
"air base"	0.0457284
enclave	0.0457141
"about three hours"	0.045127
Atlantic	0.0448948
"Atlantic Ocean"	0.0445341
Nablus	0.0437359
"Interstate @@"	0.0436183
hillside	0.0433457
convoy	0.0433282
expressway	0.0432438
"more than @,@@@ kilometers"	0.0427432
"three meters"	0.0426693
township	0.0423691
"Abu Dis"	0.042147
archipelago	0.0419088
I-@@	0.0417764
km	0.0417361
Blace	0.0416416
upriver	0.0411299
meter	0.0411042
blaze	0.040998
"Kosovska Mitrovica"	0.0409149
Hamlet	0.0406434
opposite	0.0405238
downriver	0.0401599
corridor	0.0401422
Prizren	0.0400233
))
("about @@ km" (desc 3022.11) (sims
"about @@@ km"	0.369824
"more than @@@ kilometers"	0.274803
"five kilometers"	0.272469
"about @@ kilometers"	0.238568
"about @@@ kilometers"	0.234854
"nine miles"	0.234366
"about two miles"	0.229803
"eight kilometers"	0.22712
"about @ miles"	0.226902
"eight miles"	0.22302
"six kilometers"	0.221925
"three kilometers"	0.219554
"seven miles"	0.216795
"five miles"	0.208375
"Nearly @@@ miles"	0.207906
"about @,@@@ kilometers"	0.207238
"about six miles"	0.205616
"a few kilometers"	0.205265
"about @,@@@ miles"	0.203886
"over @@@ kilometers"	0.199355
"about five miles"	0.197188
"less than @@ miles"	0.193562
"four miles"	0.191878
"six miles"	0.187452
"about @@@ miles"	0.182107
"hundred miles"	0.181024
"four kilometers"	0.18098
"about four miles"	0.18015
"about @@ miles"	0.176316
"three miles"	0.174181
"about three miles"	0.164084
"a few miles"	0.157078
"more than @@ miles"	0.152682
"two miles"	0.151941
"one kilometer"	0.148568
"about @@@ meters"	0.146192
"two kilometers"	0.142147
"more than @@@ miles"	0.140716
"one mile"	0.132139
"about one kilometer"	0.130238
"a few meters"	0.0961761
"about @@@ yards"	0.0936141
"about two hours"	0.0870306
"hundred yards"	0.0850059
"quarter mile"	0.0835566
"more than @,@@@ miles"	0.0834389
Drenica	0.0799732
frontlines	0.0777354
"half mile"	0.077254
"a few yards"	0.0730028
landfall	0.0707226
"about three hours"	0.069741
"about @@ yards"	0.0693127
kilometer	0.0674911
"main road"	0.0668934
foothill	0.0646571
"a few hundred yards"	0.0641307
"New Territories"	0.0630037
"about @@ meters"	0.0624074
"Lake Ontario"	0.0589043
"Interstate @@"	0.0584511
"Antelope Valley"	0.0574716
atoll	0.0570039
"state highway"	0.0565352
epicenter	0.0560973
downriver	0.0556831
"Ohio River"	0.054035
Lightyear	0.0536775
"two meters"	0.0530208
"Mojave Desert"	0.0520303
"Highway @@@"	0.0516488
"Potomac River"	0.0511758
I-@@	0.0509609
"Highway @@"	0.0507923
"four inches"	0.0507441
"supply route"	0.0507375
"a few points"	0.0506032
"Westlake Village"	0.0501454
"coastal plain"	0.0494766
"three hours"	0.0494573
"one meter"	0.0489685
Humvee	0.0489615
"low pressure"	0.0487491
Nablus	0.0486056
"mountain pass"	0.0485202
"Interstate @"	0.0473132
"Hill Country"	0.0469287
junkyard	0.0468808
"six inches"	0.0465296
jut	0.0462932
"domestic flight"	0.0462661
"two inches"	0.045559
"Williamson County"	0.0447927
"Columbia River"	0.0443603
"Delaware River"	0.0442453
"Missouri River"	0.0440646
trough	0.0440359
"supply line"	0.0434182
equator	0.0433948
"Fairfax County"	0.0426541
"mouse click"	0.0423583
"Route @"	0.0422636
"Ventura County"	0.0421919
"Thousand Oaks"	0.0420564
"up to @@ miles"	0.0419257
"high pressure"	0.0410292
"Shiite Muslim"	0.0409579
passageway	0.0408033
"Route @@"	0.040577
"about @@ degrees"	0.0405423
"single file"	0.0403804
cavern	0.0402243
longitude	0.0402041
))
("about @@ meters" (desc 3660.74) (sims
"five meters"	0.264649
"a few meters"	0.254222
"about @@@ meters"	0.251094
"two meters"	0.213351
"three meters"	0.193471
"two kilometers"	0.155418
"one meter"	0.152497
"about @@ inches"	0.144117
"about @@@ yards"	0.14321
"a few yards"	0.135875
"about @@ yards"	0.12155
"about two miles"	0.11762
"hundred yards"	0.112556
"eight kilometers"	0.11085
"about @ miles"	0.110197
"two miles"	0.110037
"half mile"	0.109436
"nine miles"	0.106845
"one kilometer"	0.106049
"six miles"	0.104769
"five kilometers"	0.104234
"about @@@ miles"	0.103176
meter	0.103138
"four kilometers"	0.102059
"three kilometers"	0.0984658
"up to @@ miles"	0.097985
"two inches"	0.09769
"a few kilometers"	0.0947292
"four miles"	0.0945501
"a few hundred yards"	0.0941523
"about six miles"	0.091504
"three miles"	0.0914896
"about @ inches"	0.0906843
"three inches"	0.0904513
"eight miles"	0.0901036
"about @@ miles"	0.089824
"one mile"	0.0892893
"about four miles"	0.0866815
"more than @@ miles"	0.0858117
"about five miles"	0.0840662
"seven miles"	0.080061
"a few inches"	0.0796875
"about one kilometer"	0.0771413
"five miles"	0.0752441
"a few miles"	0.0717721
"about @@ kilometers"	0.0711421
"six kilometers"	0.0680096
half-inch	0.0674781
"cabin cruiser"	0.0660276
"Three and Four"	0.0654353
"about @@@ kilometers"	0.0652461
"quarter mile"	0.0644416
"six inches"	0.0634459
"hundred miles"	0.0633036
millimeter	0.0631176
"about @@ km"	0.0624074
"about @,@@@ kilometers"	0.0614256
"up to @"	0.0608409
"two cents"	0.059629
"about three miles"	0.0568031
Partway	0.0565414
"four to five"	0.0557576
"about @@@ km"	0.0555914
"more than @,@@@ miles"	0.05492
"four inches"	0.0536089
"six furlongs"	0.0534253
"over @,@@@ meters"	0.0529877
"over six"	0.0524929
"more than @@@ miles"	0.0523897
"about five"	0.0518052
"a few points"	0.0515433
shivering	0.0491568
"about @@@ points"	0.0486242
"set back"	0.0469858
"single file"	0.0465597
Taffarel	0.0457706
m.	0.0450886
"knockout punch"	0.0447459
"more than @@ inches"	0.0445736
"pirate ship"	0.0444569
"up to @@ inches"	0.044273
"Rio Grande"	0.0436779
cleat	0.0434163
"sand wedge"	0.0430104
"over @"	0.0424417
"Nearly @@@ miles"	0.041956
"one inch"	0.0419347
"five cents"	0.0416062
"more than @@@ yards"	0.0413626
"about @@ points"	0.0411281
"about @@ to @@"	0.0408799
dribbler	0.0408636
))
("about @@ miles" (desc 27195.3) (sims
"about @@@ miles"	0.292629
"about @@ kilometers"	0.285268
"about @@@ kilometers"	0.248829
"a few miles"	0.214679
"three miles"	0.214195
"about @ miles"	0.211786
"six miles"	0.209988
"five miles"	0.209285
"about five miles"	0.189625
"four miles"	0.180581
"about @@@ km"	0.179554
"seven miles"	0.178986
"two miles"	0.178224
"about @@ km"	0.176316
"about two miles"	0.174824
"about @,@@@ miles"	0.172078
"five kilometers"	0.168113
"more than @@@ miles"	0.160795
"nine miles"	0.159524
"about @,@@@ kilometers"	0.158206
"more than @@@ kilometers"	0.154958
"about six miles"	0.154668
"eight miles"	0.153019
"about three miles"	0.151109
"about @@@ meters"	0.150254
"three kilometers"	0.147628
"four kilometers"	0.143979
"about @@@ yards"	0.140839
"less than @@ miles"	0.139372
"more than @@ miles"	0.132009
"Nearly @@@ miles"	0.13166
"eight kilometers"	0.130139
"a few kilometers"	0.129054
mile	0.125791
"one kilometer"	0.124986
"about four miles"	0.122724
"one mile"	0.122626
"six kilometers"	0.121901
"two kilometers"	0.120871
"hundred miles"	0.116452
"over @@@ kilometers"	0.114905
"about one kilometer"	0.11361
"a few yards"	0.0992044
"half mile"	0.096503
"more than @,@@@ miles"	0.0944636
kilometer	0.0943645
northwest	0.0932703
"a few meters"	0.0925915
southwest	0.0917843
"about @@ meters"	0.089824
southeast	0.0891422
north	0.0890195
"hundred yards"	0.0878959
east	0.0856105
south	0.0849916
"about @@ yards"	0.0843418
"quarter mile"	0.082127
"a few hundred yards"	0.0785817
west	0.0743852
Northeast	0.0735106
"up to @@ miles"	0.0697557
feet	0.0629212
"five meters"	0.0625512
"two meters"	0.0616456
"telephone interview"	0.0609951
"three meters"	0.0563645
route	0.0519934
distance	0.0514526
mountain	0.050155
stronghold	0.0492044
"about @@ inches"	0.0488365
hill	0.0476382
"about @@ minutes"	0.0475129
yard	0.0473773
"about two hours"	0.047344
"Pacific Ocean"	0.0471828
"a few inches"	0.0470643
suburb	0.0469257
highway	0.0466853
meter	0.0460887
Reports	0.0456312
Atlantic	0.0450521
"main road"	0.0448312
corridor	0.0442085
latitude	0.0435425
I-@@	0.0432269
"about @ inches"	0.0415299
ridge	0.0413241
coastline	0.0412917
heading	0.04118
inch	0.0403913
km	0.0402194
))
("about @@ million" (desc 9971.68) (sims
"more than @@ million"	0.366706
"about @.@ million"	0.347813
"over @@ million"	0.320508
"nearly @@ million"	0.289143
"about @@.@ million"	0.288689
"about @@@ million"	0.286462
"more than @@@ million"	0.281172
"More than @.@ million"	0.278054
"more than @ million"	0.27688
"about @ million"	0.275876
"five million"	0.268541
"about @@@,@@@"	0.264826
"Four million"	0.259371
"two million"	0.25472
"nearly @ million"	0.252458
"over @.@ million"	0.248511
"more than one million"	0.247691
"One Million"	0.243484
"more than @@@,@@@"	0.24059
"six million"	0.23948
"about @@,@@@"	0.237399
"Seven million"	0.235719
"over @@@ million"	0.235176
"three million"	0.232816
"More than two million"	0.231047
"over @@@,@@@"	0.228937
"nine million"	0.225245
"nearly @@@ million"	0.222784
"eight million"	0.222019
"almost @@ million"	0.22157
"Nearly @.@ million"	0.219383
"over @ million"	0.216741
"up to @@ million"	0.216572
"nearly @@@,@@@"	0.214384
"over @@,@@@"	0.206288
"About three million"	0.203413
"About @.@@ million"	0.2034
"More than three million"	0.200573
"Over one million"	0.200012
"more than @@,@@@"	0.195365
"About @,@@@"	0.19498
"About two million"	0.191889
"About one million"	0.188424
"more than four million"	0.18808
"Over two million"	0.175602
"about @.@ billion"	0.172231
"more than @.@@ million"	0.170753
"more than @,@@@"	0.168783
"over @,@@@"	0.168613
"almost @@@,@@@"	0.168127
"one billion"	0.164852
"less than @@,@@@"	0.163191
"up to @@@,@@@"	0.160097
"almost @@,@@@"	0.15987
"about @@@"	0.157654
"nearly @@,@@@"	0.156005
"nearly @,@@@"	0.155176
"almost @ million"	0.15301
"up to @ million"	0.152985
"more than @.@ billion"	0.151736
"roughly @@@,@@@"	0.149831
"over @.@@ million"	0.146485
"Another @@ million"	0.143083
"another @@@,@@@"	0.141593
"nearly one million"	0.139376
"less than @,@@@"	0.136645
"up to @,@@@"	0.133022
"up to @@,@@@"	0.1299
"another @ million"	0.126857
"Three billion"	0.122498
"about @@"	0.121746
"more than @@@"	0.121395
"almost @,@@@"	0.120953
"another @@,@@@"	0.119834
"About @ billion"	0.118774
"over @@@"	0.117807
"about @@ billion"	0.117453
"nearly @@@"	0.116715
"roughly @,@@@"	0.113086
"less than @@@"	0.111625
"more than @ billion"	0.111085
"about @.@"	0.10635
"almost @@@"	0.102321
"about @ percent"	0.098935
"another @.@ million"	0.0984701
"about @.@ percent"	0.0983165
"over @@"	0.0959295
"six billion"	0.0951925
"about @@ percent"	0.0949956
"roughly @@,@@@"	0.0939497
"nearly @@"	0.0917922
"more than @@"	0.091165
"more than @@ billion"	0.0907942
"up to @@"	0.0878758
"less than @@"	0.0868104
"close to @@,@@@"	0.0855543
"two billion"	0.0843357
million	0.082682
one-third	0.0825446
"About @@.@ percent"	0.0820072
"up to @@@"	0.0817844
"one billion dollars"	0.0814219
"about four"	0.0800277
"another @@@ million"	0.0798422
"more than @@@ billion yuan"	0.0796164
"Another @,@@@"	0.078874
"more than @"	0.0788588
"about @@ billion dollars"	0.0787591
non-Hispanic	0.0782888
"one third"	0.0779824
one-fifth	0.0774659
"first @@@"	0.0774142
"five percent"	0.0768516
Thirty-six	0.0759219
"about six"	0.0757983
"about eight"	0.075693
"eight percent"	0.0752091
"about $@@@ million"	0.0751751
"about @@@ million dollars"	0.0749421
"about one-third"	0.0748126
"about three"	0.0739184
"about two-thirds"	0.0736037
"up to seven"	0.0734884
"four to six"	0.0733375
"roughly @@@"	0.0732667
"Another @@@"	0.072393
"four percent"	0.0716354
non-Jewish	0.0715754
"seven percent"	0.0708942
"more than seven"	0.0705384
Twelve	0.0705142
"almost @@"	0.0703427
"six percent"	0.0699034
Thirty-three	0.0689771
"three percent"	0.0687674
"nearly one-third"	0.0687088
"over one third"	0.0681949
"close to @,@@@"	0.0677471
"another @@"	0.0676825
"ten percent"	0.0676578
nine	0.0672969
"about one-tenth"	0.0672641
"two billion yuan"	0.0671752
ten	0.0670936
Eighteen	0.0670565
"about @@ to @@"	0.0670563
"roughly @@"	0.0668415
"one billion US dollars"	0.0667792
"about five"	0.0667199
"nine percent"	0.0666433
one-tenth	0.0665647
eight	0.0664859
Fifteen	0.0664672
"about $@.@ billion"	0.0656229
"two dozen"	0.065221
"about $@@ billion"	0.0650456
"over @"	0.0647063
"Seventy percent"	0.0643058
Sixteen	0.0641456
"more than six"	0.0639308
"middle class"	0.0638863
"one percent"	0.0638212
"less than @"	0.0635808
"about @.@ billion dollars"	0.0632796
"about $@ billion"	0.0628222
tonne	0.0628186
"Three hundred"	0.062797
"more than five"	0.0623158
"about two"	0.0620733
"ten thousand"	0.0618372
"up to six"	0.0617139
"About one"	0.0615921
"Eighty-five percent"	0.0614409
eighty	0.0612973
forty	0.0612292
two-thirds	0.0609637
"More than three-quarters"	0.0608365
Fourteen	0.0606983
"about $@ million"	0.0606764
birr	0.0606209
"about @"	0.0605445
"nearly $@@"	0.0604806
"More than two"	0.0601789
"more than @@ billion yuan"	0.0601777
bpd	0.0598258
"nearly @"	0.0596278
"Nearly two"	0.0594632
two-fifths	0.0593993
"about $@@ million"	0.059358
"more than @.@ billion US dollars"	0.0592104
"about seven"	0.0588374
Thirty-nine	0.0587449
"more than four"	0.058462
"More than two-thirds"	0.0582953
Asian-American	0.0580162
"more than ten"	0.0580095
Thirteen	0.0575244
"about nine"	0.0574495
Younger	0.0574409
"nearly three"	0.0571813
))
("about @@ million dollars" (desc 5400.33) (sims
"about @@@ million dollars"	0.409359
"about @@@ million US dollars"	0.309726
"about @@.@ million dollars"	0.30589
"about @.@ billion dollars"	0.301584
"about @.@ million dollars"	0.292368
"about @@ million US Dollars"	0.25907
"about @@@,@@@ dollars"	0.232499
"more than @@@ million dollars"	0.219926
"about @.@ billion US dollars"	0.215425
"about @.@@ billion dollars"	0.207515
"over @@@ million yuan"	0.2034
"about @ billion dollars"	0.201591
"Over @@@ Million Dollars"	0.195981
"over @.@ billion yuan"	0.192999
"over @@@ million US dollars"	0.19251
"over @@ million US dollars"	0.190878
"more than @ billion dollars"	0.188296
"two billion yuan"	0.187046
"one billion yuan"	0.185852
"more than @@@ million US dollars"	0.184607
"more than @@ million dollars"	0.182174
"nearly @@@ million yuan"	0.180849
"two million yuan"	0.176921
"more than @@@ million yuan"	0.174953
"over @@@ billion yuan"	0.174758
"more than @@ million US dollars"	0.174516
"about @@@ million yuan"	0.17349
"over @@ billion yuan"	0.169619
U.S.dollars	0.168577
"one billion US dollars"	0.167565
"more than @.@ billion yuan"	0.167234
"almost $@@ million"	0.166712
"one million US dollars"	0.165395
"U.S. Dollars"	0.165309
"more than @@ million yuan"	0.163635
"million yuan"	0.16359
"nearly @@ billion yuan"	0.162815
"about $@@@ million"	0.161416
"more than @@@ billion yuan"	0.160742
"five million yuan"	0.159438
"nearly $@ billion"	0.157754
"seven billion yuan"	0.157733
"five billion yuan"	0.156632
"about $@@@ billion"	0.155765
"almost $@@@ million"	0.155492
"nearly $@@@ million"	0.155014
"about $@ billion"	0.15486
"more than @@@,@@@ yuan"	0.153847
"about $@@ million"	0.153724
ECUs	0.152942
"more than @.@ billion dollars"	0.152553
"about $@@ billion"	0.150897
"about $@.@ million"	0.150208
"three billion yuan"	0.149697
"more than one billion yuan"	0.149057
"about $@.@ billion"	0.148931
"four billion yuan"	0.147381
"three million yuan"	0.146766
"over @@ million yuan"	0.144516
"more than @@ billion dollars"	0.142539
"more than @@ billion US dollars"	0.14198
"two billion US dollars"	0.140541
"more than @ billion yuan"	0.139924
"six billion yuan"	0.139747
"nearly $@@ billion"	0.139475
"billion yuan"	0.138554
"one million dollars"	0.13841
"nearly @.@ billion yuan"	0.13707
"one billion dollars"	0.136062
"one million yuan"	0.135305
"about $@ million"	0.133626
"more than @.@ billion US dollars"	0.133592
"almost $@@,@@@"	0.132238
"over $@@@ million"	0.130957
"about $@.@@ billion"	0.130694
"about @@ billion dollars"	0.130308
"another @@ million dollars"	0.130038
"more than @@ billion yuan"	0.130031
"nearly $@@ million"	0.1295
"more than @@.@ billion yuan"	0.125192
"nearly $@ million"	0.124115
"almost $@ million"	0.123516
"a few million dollars"	0.122812
"nearly $@.@ million"	0.12204
"almost $@ billion"	0.121489
"hundred million dollars"	0.121192
"billion dollars"	0.121173
"about $@@@,@@@"	0.120904
ECU	0.120835
"about $@@.@ million"	0.11961
"about $@@.@ billion"	0.117294
"about $@@,@@@"	0.11635
"thousand dollars"	0.114551
"over $@@ million"	0.114197
"nearly $@.@ billion"	0.114004
"almost $@@@,@@@"	0.112299
"million dollars"	0.111124
"nearly $@@@,@@@"	0.110821
"over $@ billion"	0.109694
"about $@.@@ million"	0.106642
"about $@.@ trillion"	0.105021
"about @@ billion yuan"	0.103872
"about $@,@@@"	0.100929
RM@@@	0.0997215
"nearly $@@@ billion"	0.0992434
"about $@@@"	0.0982724
euros	0.0971061
pataca	0.0968438
"about $@"	0.096258
"nearly $@@,@@@"	0.0950966
"nearly $@@"	0.0939979
"about $@@"	0.0922457
birr	0.0913694
"Tanzania Shillings"	0.0906097
billion	0.088183
"Zimbabwe Dollars"	0.0880343
"hundred thousand dollars"	0.0878533
"currency unit"	0.0871398
crore	0.0866912
"over $@ million"	0.0861547
"more than @@,@@@ yuan"	0.0830752
shekel	0.0828805
"hundred dollars"	0.0816264
"nearly $@"	0.0815548
"about $@@.@@"	0.0803442
"about one-tenth"	0.0802955
"over $@@ billion"	0.0802928
"a few hundred dollars"	0.0794664
dlrs	0.0792303
ringgit	0.0790475
"over $@@@,@@@"	0.0783886
"almost $@@ billion"	0.0769467
"RM@,@@@"	0.0733769
"nearly $@,@@@"	0.0732831
"trillion dollars"	0.0723846
"a few thousand dollars"	0.0722618
"RM@@,@@@"	0.071938
sum	0.0717076
"Deutsche Mark"	0.0708525
"U. S.dollars"	0.068334
"about $@.@@"	0.0672755
"About @@.@ percent"	0.066805
"about @@@ million"	0.0660959
"special drawing rights"	0.0645149
"about @@@,@@@ tons"	0.0638018
"RM@@@,@@@"	0.0635428
"about @ percent"	0.0630688
"about @.@ billion"	0.0630095
"sum of money"	0.0627432
one-fifth	0.0623853
"barrels per day"	0.062257
bpd	0.0609736
penny	0.0609558
"over $@@,@@@"	0.060124
"Uganda Shillings"	0.0586586
monies	0.0582594
"over @@@,@@@ tons"	0.0580171
tonne	0.0580147
"amount of money"	0.057689
RMB	0.056467
"one billion"	0.0564388
"nine percent"	0.0563655
tranche	0.0560386
KUNA	0.055972
"one penny"	0.0557966
dinar	0.0557866
tenge	0.0555488
"small fortune"	0.0554984
dollars-worth	0.0553054
servicing	0.0550604
"Exchange Fund"	0.0545107
"one third"	0.0544504
"a few dollars"	0.0541995
"two percent"	0.0541757
one-third	0.0539673
"over $@,@@@"	0.0539229
"about @.@ percent"	0.0526324
"over @@ million tons"	0.0522683
cent	0.0521464
bale	0.0510174
"more than @.@ percent"	0.0508831
"about one third"	0.0504184
"more than @@@,@@@ tons"	0.0503325
kWh	0.0498768
yuan	0.0491526
shilling	0.0489794
"over $@@"	0.0485373
"one dollar"	0.0481957
knighthood	0.048001
ODA	0.0478698
hryvna	0.0478474
"about @.@ million tons"	0.0477996
"about @@,@@@ tons"	0.0477545
"six percent"	0.0476532
"less than @.@ percent"	0.0475766
U.	0.0475705
"hospital care"	0.0474798
USD	0.0473123
kg	0.0472952
"four percent"	0.0472064
))
("about @@ million tons" (desc 1465.77) (sims
"five million tons"	0.500196
"over @@ million tons"	0.435721
"four million tons"	0.42412
"more than @@ million tons"	0.408848
"about @.@ million tons"	0.406284
"more than @ million tons"	0.396797
"two million tons"	0.393567
"six million tons"	0.392919
"three million tons"	0.383173
"more than @@@ million tons"	0.373909
"more than @@@,@@@ tons"	0.367736
"one million tons"	0.324916
"about @@@,@@@ tons"	0.311224
"over @@,@@@ tons"	0.291504
"million tons"	0.28846
"over @@@,@@@ tons"	0.282613
"over @,@@@ tons"	0.282216
"more than @@,@@@ tons"	0.26932
"about @@@ tons"	0.255051
"about @@,@@@ tons"	0.24285
"one ton"	0.238014
"about @,@@@ tons"	0.224532
"about @@ tons"	0.190717
"more than @,@@@ tons"	0.173212
tonne	0.166617
"more than @@@ tons"	0.166602
"metric ton"	0.142547
"three tons"	0.132231
ton	0.126862
"five tons"	0.12541
"more than @@ tons"	0.120641
"over @@@ tons"	0.113853
"more than one-fifth"	0.112771
kWh	0.112173
"six tons"	0.110645
bushel	0.109404
"cubic meter"	0.107004
dollars-worth	0.105444
kg	0.104802
bpd	0.104209
"barrels per day"	0.100567
"two tons"	0.100152
shipload	0.0999556
importing	0.0921955
"more than @@ billion US dollars"	0.0915595
cu.m	0.0904277
"more than @@@,@@@ hectares"	0.0890638
"About @@ per cent"	0.0887198
"About @@,@@@ hectares"	0.0874782
Mt	0.0859774
oversupply	0.0841663
"more than @ billion dollars"	0.0837731
bale	0.0831577
"one kilogram"	0.079034
"five kilograms"	0.0776984
Kilogram	0.0730636
"million acres"	0.072831
gallon	0.0697701
"about @@@,@@@ acres"	0.0690058
"about one third"	0.068902
"two billion US dollars"	0.0688936
"more than @.@ billion US dollars"	0.0685272
"rising prices"	0.0676981
mw	0.0674467
unloading	0.0667994
"about @.@@ percent"	0.0663217
importation	0.0652413
ICS	0.0647863
glut	0.0647433
pumping	0.0641729
"about three percent"	0.0639743
sheaf	0.0637988
"two sacks"	0.0633502
truckload	0.063286
"kilowatt hour"	0.0630374
"about @@@ pounds"	0.0628079
"about @@ pounds"	0.0622932
consignment	0.0613397
"about @,@@@ acres"	0.0603527
harvesting	0.060305
two-third	0.0601713
"compact car"	0.0599326
"more than @@,@@@ acres"	0.0590577
"about two percent"	0.0589632
"iron ore"	0.0585292
adulteration	0.0579867
kilo	0.057863
overproduction	0.056732
Tonnage	0.0565655
gusher	0.0560893
one-fourth	0.0559114
pallet	0.0557978
"about @@,@@@ acres"	0.0551022
"four tons"	0.0548871
kernel	0.0546528
"liquefied petroleum gas"	0.0540343
"one fifth"	0.0539758
"a few pounds"	0.0538691
kgs	0.0534218
"Seventy percent"	0.0530507
liter	0.0530314
one-fifth	0.052945
carload	0.0528276
"solar cell"	0.0527352
"More than one-third"	0.05199
transshipment	0.0518868
one-tenth	0.0516867
"one tenth"	0.0516015
hGH	0.0513481
trainload	0.0512809
"About @@.@ percent"	0.0502476
"roughly one-third"	0.0501277
switchboard	0.0495933
briquette	0.0493529
using	0.0493383
"aircraft part"	0.0491587
"more than @@ billion dollars"	0.0491469
"billion yuan"	0.0486357
"about @@@ acres"	0.0479979
"nearly @@ billion yuan"	0.0479031
"four to five"	0.0478076
"less than one-tenth"	0.0476988
"more than @.@ percent"	0.0476351
"less than @.@ percent"	0.0475843
urea	0.0473249
watt	0.0472486
phosphate	0.046959
gram	0.0468156
"Twenty-five percent"	0.0466298
"more than @@ million dollars"	0.046244
"nine million"	0.0460948
"less than five percent"	0.0457874
"more than @@@ million dollars"	0.0455482
compressor	0.0454348
"palm oil"	0.0450854
"four inches"	0.0450037
"about @@@ million"	0.0447839
megabits	0.0447591
"more than @@@ hectares"	0.0446792
methanol	0.0445902
"seven billion yuan"	0.0445418
"Sixty percent"	0.0445236
"more than @.@ billion dollars"	0.0444842
"essential oil"	0.0444044
fineness	0.0443846
added-value	0.0443759
granule	0.0443214
sufficiency	0.0442577
"fish meal"	0.0442365
"nearly @.@ billion yuan"	0.0442145
"Thirty percent"	0.0441749
"cane sugar"	0.0441731
hectare	0.0441034
"one cup"	0.0438366
"eight percent"	0.043699
bauxite	0.0436178
"about @@ billion dollars"	0.0435203
"food grain"	0.0433218
khat	0.0432449
Four-fifths	0.0432365
"more than @.@ billion yuan"	0.0430814
gemstone	0.0429431
"About @ billion"	0.0425686
"wind power"	0.0424402
telomerase	0.0424394
"more than @,@@@ hectares"	0.0422755
"more than @@,@@@ yuan"	0.0420667
polyethylene	0.0418341
"more than @@@ million US dollars"	0.0416865
ethylene	0.0416725
LNG	0.0414565
planeloads	0.0411113
"fatty acid"	0.0409347
"Beauty Queen"	0.040909
"eight million"	0.0408071
"rising tide"	0.0404001
"two pounds"	0.0403643
biomass	0.0402028
"polyvinyl chloride"	0.0401721
handset	0.040122
))
("about @@ million US Dollars" (desc 2189.92) (sims
"about @@@ million US dollars"	0.375742
"about @.@ million dollars"	0.29223
"about @@.@ million dollars"	0.272552
"about @@@,@@@ dollars"	0.261568
"about @@ million dollars"	0.25907
"one million US dollars"	0.248085
"about @@@ million dollars"	0.234427
"more than @ billion yuan"	0.214205
"over @@@ million US dollars"	0.207417
"over @@@ billion yuan"	0.207378
"nearly @@@ million yuan"	0.207024
"about @@@ million yuan"	0.196216
"over @@ million US dollars"	0.195027
"about @.@@ billion dollars"	0.192679
"five million yuan"	0.191807
"about @@ billion yuan"	0.190985
"Over @@@ Million Dollars"	0.185828
"six billion yuan"	0.184402
"about @.@ billion US dollars"	0.183903
"more than @@ million US dollars"	0.181704
"over @.@ billion yuan"	0.181486
"nearly @.@ billion yuan"	0.177788
"three million yuan"	0.174969
"over @@@ million yuan"	0.174689
"about @.@ billion dollars"	0.174673
"over @@ billion yuan"	0.17425
"more than one billion yuan"	0.172864
"more than @@@ million dollars"	0.170309
"over @@ million yuan"	0.166621
"a few million dollars"	0.163978
"more than @.@ billion dollars"	0.16385
"five billion yuan"	0.16342
"four billion yuan"	0.162956
"two million yuan"	0.159558
"nearly @@ billion yuan"	0.158006
"more than @ billion dollars"	0.156032
"more than @@ million dollars"	0.15458
"seven billion yuan"	0.153855
"million yuan"	0.151889
"more than @@@ million US dollars"	0.150432
"more than @.@ billion yuan"	0.148934
"one billion dollars"	0.14834
"more than @@@ billion yuan"	0.147732
"more than @@@,@@@ yuan"	0.147469
"almost $@@ million"	0.147426
"three billion yuan"	0.145599
"one million dollars"	0.145465
"hundred million dollars"	0.143578
"more than @@ million yuan"	0.14258
"one million yuan"	0.141947
"one billion US dollars"	0.140944
"more than @@@ million yuan"	0.140877
"more than @@,@@@ yuan"	0.137662
"two billion yuan"	0.136258
"almost $@@@ million"	0.135267
"more than @@.@ billion yuan"	0.132634
"billion yuan"	0.13072
"about @ billion dollars"	0.127784
"two billion US dollars"	0.125748
"hundred thousand dollars"	0.125437
"one billion yuan"	0.125319
"almost $@@,@@@"	0.121623
"more than @.@ billion US dollars"	0.120906
"U.S. Dollars"	0.116732
"more than @@ billion yuan"	0.116579
"nearly $@@"	0.111624
"almost $@ million"	0.110933
"almost $@@@,@@@"	0.107036
U.S.dollars	0.107007
"nearly $@.@ million"	0.106073
"more than @@ billion dollars"	0.105974
"nearly $@@,@@@"	0.102862
"thousand dollars"	0.100808
"another @@ million dollars"	0.100773
"about $@.@ million"	0.0962734
"nearly $@,@@@"	0.09346
"more than @@ billion US dollars"	0.0923822
"a few hundred dollars"	0.0915593
"over $@@ million"	0.0904777
"over $@@@ million"	0.0893854
"about @@ billion dollars"	0.088443
"nearly $@ billion"	0.0866108
"nearly $@@@ million"	0.0863671
"nearly $@.@ billion"	0.0861089
"hundred dollars"	0.0838004
"Tanzania Shillings"	0.0836103
"nearly $@@@,@@@"	0.0814873
"million dollars"	0.0812525
"over $@@@,@@@"	0.0808899
"almost $@ billion"	0.0799968
"over $@ billion"	0.0799965
"a few thousand dollars"	0.0798238
"about $@ billion"	0.0796824
ECU	0.0795813
"nearly $@@@ billion"	0.0793769
"over $@@ billion"	0.0793465
"nearly $@@ million"	0.0784549
"RM@@@,@@@"	0.0776162
"almost $@@ billion"	0.076628
"billion dollars"	0.0758937
RMB	0.0757504
"about $@.@ billion"	0.0750537
USD	0.0744065
"about $@.@@ billion"	0.074218
"over $@@@"	0.0737516
"about $@@@ billion"	0.0728889
"about $@@ million"	0.0727163
"about $@ million"	0.0716206
"Uganda Shillings"	0.0710014
RM@@@	0.0701865
"about $@.@ trillion"	0.0697636
"about $@@,@@@"	0.0693714
"over $@ million"	0.0693657
"small fortune"	0.0690633
"nearly $@ million"	0.0689851
"about $@.@@ million"	0.0687873
"about $@@@,@@@"	0.0684651
"sum of money"	0.0655864
"about $@@ billion"	0.0646762
"Zimbabwe Dollars"	0.0646478
ECUs	0.0641318
"U. S.dollars"	0.0630919
"a few dollars"	0.0625132
"about $@@.@ billion"	0.06171
"Deutsche Mark"	0.0615394
"about $@@@ million"	0.0612321
"over $@@,@@@"	0.0608998
"about $@,@@@"	0.0606098
"nearly $@"	0.0599727
pataca	0.0594226
"RM@,@@@"	0.0585697
"currency unit"	0.0581397
"nearly $@@ billion"	0.0571908
birr	0.0570214
shekel	0.05664
"trillion dollars"	0.0563934
"about $@@@"	0.0563357
monies	0.0556175
"over $@@"	0.0551673
"about $@@.@ million"	0.0533439
crore	0.0525012
metical	0.051306
"about $@"	0.0509972
"Kenya Shillings"	0.0495559
"one penny"	0.0485511
"hospital care"	0.0482685
VND	0.0478462
Renminbi	0.0468688
one-seventh	0.0468664
"first CD"	0.046803
"RM@@,@@@"	0.0466072
U.	0.0463785
"over $@,@@@"	0.0456251
"Beijing Municipal Government"	0.045503
"another @.@ percent"	0.0450133
"Sea Launch"	0.0448859
"billion over @@ years"	0.0434909
"more than @.@ billion"	0.0431472
"more than @@@ million"	0.0427458
"about @@@ million"	0.0423883
"one dollar"	0.0419592
dinar	0.0418729
IDB	0.0415502
tenge	0.0408983
commuting	0.0404877
gob	0.0404054
"International Committee of Red Cross"	0.0401298
))
("about @@ minutes" (desc 22160.1) (sims
"about @ minutes"	0.311126
"a few minutes"	0.283171
"about @ hour"	0.243274
"another @@ minutes"	0.236409
"about @@ to @@ minutes"	0.232174
"about @ hours"	0.229362
"two hours"	0.208965
"about two hours"	0.192835
"about three hours"	0.191674
"five minutes"	0.188035
"more than two hours"	0.187738
"about @ minute"	0.18697
"a few hours"	0.184811
"three hours"	0.181701
"about five minutes"	0.177919
"more than @@ minutes"	0.175325
"four hours"	0.172891
"about @ @/@ hours"	0.165238
"five hours"	0.154158
"one hour"	0.15383
"more than three hours"	0.151173
"about @@ hours"	0.15087
"six hours"	0.150226
"about two minutes"	0.141193
"nearly @@ minutes"	0.140315
"less than @@ minutes"	0.140063
"nearly two hours"	0.139431
"seven hours"	0.139112
"over two hours"	0.138952
"more than @@ hours"	0.138951
"nearly four hours"	0.13478
"two minutes"	0.134344
minute	0.134182
hour	0.133595
"about one hour"	0.12968
"about four hours"	0.128789
"more than five hours"	0.12799
"three weeks"	0.126981
"eight minutes"	0.126783
"a few days"	0.122637
"two days"	0.122411
"more than four hours"	0.121301
"a few weeks"	0.121221
"eight hours"	0.121177
"five days"	0.120481
"almost two hours"	0.119761
"three days"	0.118719
"three minutes"	0.117343
"nine hours"	0.117113
"up to @@ minutes"	0.116727
"nearly three hours"	0.116511
"four days"	0.114517
"two months"	0.111829
"five months"	0.111071
"six weeks"	0.110548
"a few months"	0.109913
"two weeks"	0.10956
"six months"	0.10904
"about six hours"	0.107054
"three months"	0.106218
"seven weeks"	0.104563
"up to @@ hours"	0.103734
"one week"	0.103501
"eight days"	0.101921
"five weeks"	0.101916
"Four minutes"	0.101375
"a few years"	0.101011
"one month"	0.100719
"four weeks"	0.100146
"more than two years"	0.0997712
"nine years"	0.0992617
"one minute"	0.0984767
"six minutes"	0.0980735
"seven minutes"	0.0971973
"eight months"	0.0960879
"less than two hours"	0.0959148
"nearly @@ hours"	0.0958008
"six days"	0.0957728
"four months"	0.095661
"four years"	0.0949478
"nine days"	0.094596
"two years"	0.0932641
"less than five minutes"	0.0931581
"three years"	0.0926401
"eight years"	0.0916251
"one day"	0.091231
"over @@ minutes"	0.0893646
"seven years"	0.0892094
"less than two minutes"	0.0888413
"one year"	0.088757
"about two months"	0.0880396
"nine months"	0.0877183
"six years"	0.0877037
"about @@ months"	0.0841027
"about two years"	0.0838142
"less than three minutes"	0.0835092
"seven days"	0.0808199
"nine minutes"	0.0806549
"another @@ years"	0.0791167
"more than three years"	0.0787527
"five years"	0.0780936
"more than @@ years"	0.0777033
"more than five minutes"	0.0768012
"about two weeks"	0.0764253
"seven months"	0.0758107
"about @@ years"	0.0746471
"six to eight weeks"	0.0746056
"about @@ days"	0.0733846
"Less than two weeks"	0.0729933
"more than @@ days"	0.0729083
"nine miles"	0.0723842
"more than six months"	0.0712221
"about three months"	0.0711507
"nearly two weeks"	0.0707691
"more than three months"	0.0704345
"eight weeks"	0.0698938
"up to six months"	0.0692682
"nearly @@ years"	0.0688213
"nearly two months"	0.0684734
half-hour	0.0680029
"almost @@ years"	0.0678008
"more than four years"	0.0673847
"about four years"	0.0671849
"another four years"	0.0670726
"two to three years"	0.0664996
"first time"	0.0662696
"less than @@ hours"	0.0659543
"two decades"	0.0655682
"three decades"	0.0642791
"nearly two years"	0.0639929
"about two miles"	0.0636549
"ten days"	0.063473
"more than two weeks"	0.063434
"more than two months"	0.0632587
"seven miles"	0.0631418
"one night"	0.0626369
"about six months"	0.0618047
"second time"	0.0617226
"one year ago"	0.0614542
"more than @@@ years"	0.0607379
"more than @@ months"	0.0605684
"five kilometers"	0.0603945
"over @@ years"	0.0594512
"about three weeks"	0.0590111
"about @@ km"	0.0583547
"about three years"	0.0582706
"three times"	0.0582037
"Ten minutes"	0.058007
"two to three weeks"	0.057978
"nearly two decades"	0.0575508
"second day"	0.0571938
"about six weeks"	0.0571895
"less than two months"	0.0559522
"eight miles"	0.055862
"another three years"	0.0557946
"four miles"	0.0551174
"three miles"	0.0548013
"three kilometers"	0.0546737
"about @@@ meters"	0.0544566
"three to five years"	0.0543676
"ten years"	0.0538041
"seven years ago"	0.0532052
anywhere	0.0531679
"about @@@ km"	0.0529163
"one kilometer"	0.0525515
"four times"	0.0522067
"over two years"	0.0521824
"nearly four years"	0.0515978
"three years ago"	0.0514268
"another six months"	0.0513823
"about @,@@@ miles"	0.0513452
"over three years"	0.0511011
"six miles"	0.0510503
"from @@@@ to @@@@"	0.0510143
"more than six years"	0.0508556
"more than five years"	0.0506944
"two nights"	0.0502601
"three nights"	0.0490944
"three days ago"	0.0490458
"long time"	0.0489569
"up to @@ days"	0.0489354
"about @@@ miles"	0.0487122
"more than two decades"	0.0486325
"two months ago"	0.0484755
"short time"	0.0481149
"about @@ kilometers"	0.0480323
"first @@ minutes"	0.0476978
"a few miles"	0.0476967
"about @@ miles"	0.0475129
"eight years ago"	0.047374
"more than seven years"	0.0464368
"up to two years"	0.045689
"less than two years"	0.0451734
"two miles"	0.0446929
"amount of time"	0.0445972
"up to three years"	0.0444756
"third day"	0.0443402
"four decades"	0.0443276
"six times"	0.0442929
"two weeks ago"	0.0442273
))
("about @@ months" (desc 2899.83) (sims
"about two years"	0.211099
"about four years"	0.198826
"more than three years"	0.145602
"more than five years"	0.140012
"five months"	0.135485
"about three months"	0.1344
"about @@ years"	0.133478
"nearly two months"	0.131776
"about two weeks"	0.128589
"almost @@ years"	0.128151
"two to three years"	0.126253
"about three years"	0.125354
"eight months"	0.12477
"about six months"	0.124601
"nine years"	0.123362
"more than two years"	0.122439
"more than three months"	0.122354
"a few months"	0.121436
"nine months"	0.121122
"about three weeks"	0.11957
"four months"	0.118078
"less than three years"	0.115893
"three to five years"	0.114749
"more than @@ months"	0.114719
"five weeks"	0.113382
"about five years"	0.112095
"more than @@ years"	0.111765
"four weeks"	0.111496
"seven years"	0.111083
"nearly three years"	0.110477
"nearly @@ years"	0.108243
"three years"	0.107726
"nearly two years"	0.107707
"about two months"	0.107701
"less than two years"	0.107363
"six years"	0.106838
"about four hours"	0.106273
"seven weeks"	0.105678
"another two years"	0.105518
"about three hours"	0.10444
"more than four years"	0.103771
"about @@ days"	0.102427
"more than six years"	0.102326
"less than two hours"	0.101995
"nearly five years"	0.101771
"ten years"	0.101461
"nearly @@ hours"	0.100679
"four years"	0.100669
"seven months"	0.099412
"two to three weeks"	0.0986438
"up to @@ months"	0.098171
"another four years"	0.0977222
"Less than two weeks"	0.0976249
"eight days"	0.097539
"three months"	0.0973666
"seven days"	0.0970316
"more than six months"	0.0968226
"eight weeks"	0.0968
"six months"	0.0966004
"another six months"	0.0961329
"another five years"	0.0958765
"three weeks"	0.0951889
"another @@ years"	0.094697
"more than two hours"	0.0944799
"almost two hours"	0.0938388
"eight years"	0.0937228
"up to @@ minutes"	0.092535
"about two hours"	0.0914078
"up to three months"	0.0913326
"six weeks"	0.0904034
"more than two months"	0.0902494
"up to @@ days"	0.0899664
"nearly two decades"	0.0895307
"almost four years"	0.0882351
"almost three years"	0.0877454
"over two years"	0.0871432
"about two minutes"	0.0870037
"up to six months"	0.0866915
"more than three decades"	0.0862723
"seven hours"	0.0859795
"a few years"	0.0859344
"nine weeks"	0.0855369
"eight hours"	0.0847485
"one year"	0.0847238
"one month"	0.084112
"about @@ minutes"	0.0841027
"six hours"	0.0838193
"more than @@ hours"	0.0833441
"up to two years"	0.0830419
"six days"	0.0829566
"two decades"	0.0827855
"four to six weeks"	0.0823357
"five hours"	0.0821659
"three decades"	0.0808071
"nearly four years"	0.0805833
"about five minutes"	0.0798231
"almost two years"	0.0795179
"over @@@ years"	0.0791126
"three to six months"	0.079015
"about @@ hours"	0.0785402
"two months"	0.078226
"another two weeks"	0.0771662
"less than @@ minutes"	0.0771011
"over @@ years"	0.0764592
"a few weeks"	0.0753405
"more than four months"	0.0752928
"up to @@ years"	0.074775
"over two hours"	0.0745391
"more than two decades"	0.0741752
"over two months"	0.0740795
"over seven years"	0.0739324
"more than seven years"	0.0739273
"about @ @/@ hours"	0.073905
"over @@ months"	0.0738911
"five days"	0.0731213
"four hours"	0.0726332
"up to three years"	0.0718571
"another @@ months"	0.0717587
"nine hours"	0.0716647
"less than @@ hours"	0.0716008
"about six weeks"	0.0715736
"a few hours"	0.0706057
"six to eight weeks"	0.0704141
"nearly @@ minutes"	0.0701964
"more than three hours"	0.0701551
"nearly two hours"	0.0689823
"nearly six years"	0.068856
"more than four hours"	0.0683481
"up to @@ hours"	0.0668191
"nearly @@ months"	0.0667607
"another @@ days"	0.0666547
"less than two months"	0.0661063
"over @@ hours"	0.0655502
"more than @@@ years"	0.0651105
"hundred years"	0.0650396
"four decades"	0.0646849
"nearly three months"	0.0637326
"three hours"	0.0631698
"more than eight years"	0.0631599
"eight months ago"	0.0625848
"one week"	0.0624558
"seven decades"	0.0623104
"one weekend"	0.0614381
"almost three decades"	0.0607897
"more than @@ minutes"	0.0606194
"up to two weeks"	0.0596996
"ten days"	0.0591674
"more than four decades"	0.0586184
"five minutes"	0.0584769
"nine minutes"	0.0582955
"about one hour"	0.0580923
"nearly two weeks"	0.058002
"nine days"	0.057754
"a few minutes"	0.0577157
"more than two weeks"	0.0572226
"one hour"	0.0555163
"last four days"	0.0542469
"more than one year"	0.0537381
"June, @@@@"	0.0531785
"less than @@ years"	0.052861
"last seven years"	0.0525521
"nearly @@@ years"	0.0520257
"more than @,@@@ years"	0.0519958
"over two decades"	0.0516847
"more than five hours"	0.0515601
"more than three weeks"	0.0503121
"one night"	0.0500136
"more than @@ days"	0.049817
"about six hours"	0.0496911
"six decades"	0.0494461
"almost two decades"	0.0491698
"a few weeks ago"	0.0489397
"less than four months"	0.0487876
"two nights"	0.0485478
"three minutes"	0.048315
"Five days ago"	0.0480885
"three nights"	0.0477808
"five to @@ years"	0.0477632
"nearly seven years"	0.0476783
"Ten minutes"	0.0475394
"up to five years"	0.0473945
"about five hours"	0.046863
"about @ hours"	0.0467841
"less than five minutes"	0.0467777
"six minutes"	0.0467731
"next @@ minutes"	0.0465218
"a few decades"	0.046321
"past eight months"	0.0463206
"nearly three weeks"	0.0461052
"more than five minutes"	0.0458086
"over three years"	0.0458072
"two days ago"	0.0452251
"over five years"	0.0440111
"last four years"	0.0439712
"nearly three hours"	0.0438679
"another @@ minutes"	0.0437795
"almost two weeks"	0.0435735
"four months ago"	0.0435038
"Four minutes"	0.0420074
"right here"	0.0413925
))
("about @@ months ago" (desc 738.847) (sims
"nearly three years ago"	0.21076
"about four years ago"	0.210278
"almost @@ years ago"	0.181419
"about three years ago"	0.180236
"nine months ago"	0.178673
"about two years ago"	0.177138
"Ten years ago"	0.160463
"seven years ago"	0.155522
"Five days ago"	0.155211
"about @@ years ago"	0.150442
"eight months ago"	0.148235
"more than @@ years ago"	0.142806
"more than two years ago"	0.140767
"about five years ago"	0.140531
"four days ago"	0.139363
"more than three years ago"	0.13831
"nine years ago"	0.13586
"more than two decades ago"	0.134165
"Five months ago"	0.133716
"less than two years ago"	0.133117
"nearly two years ago"	0.129763
"two months ago"	0.129437
"four months ago"	0.129072
"about two months ago"	0.126496
"seven months ago"	0.124708
"about two weeks ago"	0.121288
"six years ago"	0.114593
"more than @@ times"	0.107989
"a few months ago"	0.107214
"a few days ago"	0.105549
"eight years ago"	0.104085
"months ago"	0.102861
"four weeks ago"	0.102683
"nearly @@ years ago"	0.100893
"one week ago"	0.0996043
"eight days ago"	0.0985283
"a few years ago"	0.0964136
"six weeks ago"	0.096266
"about three weeks ago"	0.0929781
"six months ago"	0.0914612
"more than @@@ years ago"	0.0891808
"a few weeks ago"	0.088863
"seasons ago"	0.0883834
"decades ago"	0.0881801
"three weeks ago"	0.087734
"nearly two weeks ago"	0.0852263
"nine days ago"	0.0844011
"weeks ago"	0.0842163
"three days ago"	0.0841347
"four decades ago"	0.0841072
"three decades ago"	0.081314
"three months ago"	0.0810815
"one year ago"	0.0779752
"about @,@@@ years ago"	0.0754158
"six days ago"	0.0753173
"five weeks ago"	0.0746884
"over four years"	0.0724355
"over @@ years ago"	0.0722471
"about six hours"	0.0706229
"two decades ago"	0.0704979
"more than @,@@@ years ago"	0.066849
"nearly two decades ago"	0.0646942
"summers ago"	0.0632531
"over three years"	0.0631839
"more than @@@ times"	0.0622152
"From January to June"	0.0609159
"time ago"	0.0589732
"from January to September"	0.0588443
"Over three decades"	0.0578357
"Jan @@-@@"	0.057029
"right here"	0.0556681
"over five years"	0.0555265
"nine times"	0.0535579
"eight times"	0.0530238
"over six months"	0.0526901
"one month ago"	0.051669
"over two years"	0.0515747
"over six years"	0.049709
"over two decades"	0.0493889
"more than @@ months"	0.0483158
mid-morning	0.0481764
"February @."	0.0476362
"nearly three times"	0.0467763
"nearly @@ times"	0.0466043
"over @@ months"	0.0457664
"million over five years"	0.0446068
"March @-@@"	0.0444933
"nearly four hours"	0.0434932
six-hour	0.0425328
))
("About @@ per cent" (desc 2559.51) (sims
"about five percent"	0.223037
"About three quarters"	0.196165
"More than one third"	0.195496
"ten percent"	0.192804
"About @@.@ percent"	0.188802
"More than two-thirds"	0.185814
"one sixth"	0.184509
"More than one-third"	0.183366
"about one third"	0.180851
"roughly two-thirds"	0.177946
"nearly two-thirds"	0.177277
"over one-third"	0.176445
"almost one-third"	0.173221
"less than one percent"	0.171656
"about one-fifth"	0.171162
"nearly one-third"	0.171027
"about one-third"	0.170611
"about three-quarters"	0.165696
"almost two-thirds"	0.165459
one-fourth	0.164275
"about two percent"	0.161488
"Twenty percent"	0.160587
"less than five percent"	0.15914
"one third"	0.158707
"Eighty percent"	0.158686
"nearly one third"	0.157306
thirds	0.153969
"more than one-fourth"	0.152505
"about two-thirds"	0.152475
"nearly one-fifth"	0.151903
"about one-fourth"	0.151856
"more than @.@ percent"	0.148894
"about one percent"	0.147523
"two percent"	0.144454
"five percent"	0.144386
"roughly one-third"	0.141572
"more than three-fourths"	0.140115
one-third	0.13987
"about @.@ percent"	0.139523
three-fourths	0.137675
"about @@@ percent"	0.136156
"six percent"	0.135574
"nine percent"	0.135529
"one fifth"	0.135072
one-fifth	0.134613
"three percent"	0.134385
one-seventh	0.133105
"about three percent"	0.13219
"over one third"	0.131428
"one percent"	0.131231
"about @ percent"	0.130688
"Twenty-five percent"	0.130453
"four percent"	0.130353
"about one-quarter"	0.128155
"Seventy percent"	0.126578
"one tenth"	0.126241
"Fifty percent"	0.126014
"less than one-third"	0.125554
"nearly one-fourth"	0.125149
"about @@ percent"	0.124536
"less than @.@ percent"	0.123576
"about one-tenth"	0.123077
"eight percent"	0.122676
two-thirds	0.121855
"Ninety-five percent"	0.119384
"More than three quarters"	0.118222
"seven percent"	0.118167
"Sixty-five percent"	0.117983
"one quarter"	0.117802
two-fifths	0.117629
"about three-fourths"	0.117009
"about four percent"	0.11474
three-fifths	0.113999
"about @.@@ percent"	0.113108
"More than three-quarters"	0.111865
"Sixty percent"	0.111144
bulk	0.110479
"Ninety percent"	0.110261
"Forty percent"	0.11002
"Thirty percent"	0.109211
"more than one-fifth"	0.109035
"over two-thirds"	0.107358
"representative sample"	0.10707
one-sixth	0.106875
fifths	0.106737
one-tenth	0.104677
fraction	0.104321
"Eighty-five percent"	0.104237
"four million tons"	0.103785
"over @@.@ percent"	0.102476
one-quarter	0.100787
two-third	0.0990705
"about one quarter"	0.0980648
"about @.@ million tons"	0.0973635
percent	0.0968671
"Nearly three-quarters"	0.096598
"more than @ million tons"	0.0952732
"Seventy-five percent"	0.0950006
"about @@@,@@@ tons"	0.0910723
tenth	0.0905929
"another third"	0.0897993
"Fifty-five percent"	0.0892769
"about @@ million tons"	0.0887198
three-quarters	0.0881124
"Forty-five percent"	0.0826032
"random sample"	0.0816164
"more than @@,@@@ tons"	0.0795941
dollars-worth	0.0793188
"more than @@ billion yuan"	0.0784177
one-half	0.0776892
"Fifteen percent"	0.0773697
one-eighth	0.0764604
Four-fifths	0.0759235
"more than @@ billion US dollars"	0.0756074
"six million tons"	0.0754619
"three million tons"	0.0743066
"roughly @@"	0.0740387
"close to @@"	0.0732173
"more than @.@ billion US dollars"	0.0731788
"over @@,@@@ tons"	0.0723298
"dollar amount"	0.0714974
"over @@@ tons"	0.0714863
"more than @.@ billion yuan"	0.0710399
"over @@ million tons"	0.0707759
tabulation	0.070697
"five million tons"	0.0704644
"almost @@"	0.0702064
"more than @ billion dollars"	0.0699652
"more than @@@,@@@ tons"	0.0691249
tripling	0.0689867
"one cent"	0.06843
"three quarters"	0.0682461
"about @,@@@ tons"	0.0679899
"about $@.@ billion"	0.0672773
doubling	0.0671426
"less than one-tenth"	0.0668709
"over @@@,@@@ tons"	0.06616
"more than @@@ million yuan"	0.0657015
centavo	0.0651386
"about @@@ tons"	0.0650935
"up to @@.@ percent"	0.0650931
"more than @@ million dollars"	0.0649824
"another @.@ percent"	0.0649683
"about @@,@@@ tons"	0.0645903
"two million tons"	0.0645499
"about @@@ million dollars"	0.0642416
"million tons"	0.0641054
"about @@@ million"	0.0639697
"more than @@.@ billion yuan"	0.0636967
"about @@ tons"	0.0636377
"Almost three-quarters"	0.0634066
"about @@,@@@ acres"	0.0630617
"Ninety-nine percent"	0.0621096
reallocation	0.0614904
"one million tons"	0.0611397
"good part"	0.0602109
half-dozen	0.0600723
"about $@@ million"	0.0595309
"more than one billion yuan"	0.0591039
"more than @,@@@ tons"	0.0590948
"one ton"	0.0584791
"more than @.@ billion dollars"	0.0578191
"nearly @@ points"	0.0573203
"nearly @@@ million yuan"	0.0572665
"about @@ to @@"	0.0571538
"three tons"	0.057042
"more than @@ million US dollars"	0.0568555
"about $@ million"	0.0566711
"One hundred percent"	0.0564574
"about @@ points"	0.0562753
"about @@ million"	0.0562112
"kilowatt hour"	0.055967
"three billion yuan"	0.0556083
"more than @@@ billion yuan"	0.0555691
"more than @@@ million tons"	0.055567
"more than @@@ million US dollars"	0.0553612
"about $@ billion"	0.0551743
"about $@@ billion"	0.0551067
"about @.@ billion"	0.054958
plurality	0.0546617
"about $@@@ million"	0.0546087
"more than @@ million tons"	0.0544409
importing	0.054377
"nearly $@"	0.0541489
"six billion yuan"	0.0540839
"nearly @@ billion yuan"	0.054082
"million yuan"	0.0540157
"about $@@@ billion"	0.0539967
"more than @ million"	0.0537903
"more than @@@ million dollars"	0.0536226
bpd	0.0534922
"five kilograms"	0.0530982
"two billion yuan"	0.052482
mushrooming	0.0523332
recounting	0.051843
"thousand dollars"	0.0517551
"seven billion yuan"	0.0516405
Twenty-seven	0.0507725
"more than @.@@ million"	0.0506666
"more than @@@ tons"	0.0506142
))
("about @@ percent" (desc 112389) (sims
"about @ percent"	0.317192
"about @.@ percent"	0.238416
one-third	0.209754
"five percent"	0.200947
"one percent"	0.19215
"seven percent"	0.191968
"three percent"	0.190796
"eight percent"	0.190589
"two percent"	0.189721
"six percent"	0.188622
"four percent"	0.188478
"About @@.@ percent"	0.187168
two-thirds	0.181995
"nine percent"	0.173529
"one third"	0.166168
"about one-third"	0.165423
"ten percent"	0.159339
half	0.156853
"nearly @@"	0.150101
"about two-thirds"	0.146111
one-fifth	0.144192
"almost @@"	0.139503
"percentage point"	0.136977
thirds	0.13531
"more than @@"	0.133069
percent	0.130689
"More than one-third"	0.129772
percentage	0.124888
"About @@ per cent"	0.124536
one-fourth	0.124521
"nearly one-third"	0.121571
"More than two-thirds"	0.121015
majority	0.120326
"less than @.@ percent"	0.120209
"About @,@@@"	0.117992
most	0.116999
"about $@@@ million"	0.116943
dollar	0.116409
"about @@@,@@@"	0.11621
"nearly two-thirds"	0.114456
"about @@,@@@"	0.114147
fraction	0.111542
one-quarter	0.108739
"less than @"	0.108713
"Eighty percent"	0.10867
"about one-fifth"	0.108321
one-tenth	0.107917
"more than @.@ percent"	0.10786
"less than one percent"	0.107768
"about $@@ billion"	0.107644
"Sixty percent"	0.106995
bulk	0.106921
"about one third"	0.105661
"Seventy percent"	0.105076
"nearly @"	0.104404
amount	0.103845
"about @.@ million"	0.103724
average	0.10196
"about @@@"	0.101941
three-quarters	0.101466
"Ninety percent"	0.10073
"Forty percent"	0.100159
increase	0.0998965
proportion	0.0995946
rate	0.099025
more	0.0987087
"about $@ billion"	0.0983218
"about $@.@ billion"	0.0982195
number	0.0981186
"more than @"	0.0980492
"growth rate"	0.0967847
"less than @@"	0.0962746
total	0.0961083
"about $@@,@@@"	0.0953707
"about @@ million"	0.0949956
"lower than"	0.0941271
"about $@@ million"	0.0940995
third	0.0940663
"one fifth"	0.0937861
"about $@@@"	0.0935107
million	0.0934892
level	0.0902741
"about three-quarters"	0.0899979
thousand	0.0898698
many	0.0897181
growth	0.0896247
worth	0.0895432
barrel	0.0893884
"over @@"	0.0885001
"about $@@"	0.0876189
"more than @@@,@@@"	0.0871628
"about one-quarter"	0.0868759
bpd	0.0862906
"one quarter"	0.0862503
ratio	0.0859384
tonne	0.0859204
kg	0.0855632
share	0.0854572
"about $@,@@@"	0.085419
year-on-year	0.0850483
portion	0.0850193
quarter	0.0847983
"about $@@@,@@@"	0.0841483
"more than @@,@@@"	0.0838653
"about $@ million"	0.0828797
three-fourths	0.0826463
"more than @,@@@"	0.0815886
some	0.0810415
"about @@"	0.0807757
hundred	0.0793857
population	0.079041
revenue	0.0784677
"more than @@@"	0.0775624
"about @ million"	0.0772687
much	0.0772432
lowest	0.076699
value	0.0764047
output	0.0762149
income	0.0759861
"U.S. Dollars"	0.0757084
price	0.0756212
tenth	0.0750735
"large number"	0.0750725
all	0.0746557
billion	0.0744813
"about $@"	0.0737488
people	0.0735819
"about $@@@ billion"	0.0731561
export	0.0729518
"more than @@@ points"	0.0720082
"more than @@ billion yuan"	0.0715826
volume	0.0715657
decline	0.0715519
rise	0.0715356
"over @@@@"	0.0713123
"nearly $@ billion"	0.0712653
"basis point"	0.0710288
"up to @@"	0.070923
decrease	0.0706171
estimate	0.0701045
ton	0.0698741
Six	0.0698012
equivalent	0.069733
"More than @.@ million"	0.0695314
earnings	0.0693393
cent	0.0692815
sale	0.0691372
import	0.0690244
"One Million"	0.0689788
"more than @@ million"	0.0684545
Five	0.0681457
highest	0.0680753
"gross domestic product"	0.0680531
"about @@@ million"	0.0680366
profit	0.0677948
"inflation rate"	0.0673155
each	0.0672782
ha	0.0672725
GDP	0.0671723
those	0.0665163
cost	0.0664249
gain	0.0657492
"about $@.@ million"	0.0654185
reduction	0.0654057
"more than @ million"	0.0652744
"about @@@ million dollars"	0.0647477
investment	0.064701
seven	0.0644159
zero	0.0643214
"about $@.@@"	0.063904
two	0.0638423
production	0.0636191
job	0.063595
lot	0.0635739
low	0.0633557
high	0.0633389
four	0.063149
part	0.0628035
Three	0.0627
surplus	0.0619726
fifth	0.0619722
sector	0.0619378
dlrs	0.061813
expenditure	0.061798
nine	0.061729
ruble	0.0617131
ringgit	0.0616622
"how many"	0.0616236
"over @@,@@@"	0.0609827
U.S.dollars	0.0609805
product	0.0608045
dozen	0.0608013
inflation	0.0604188
market	0.0602841
"over @@@,@@@"	0.0601885
euros	0.0601858
sum	0.0599739
size	0.0595289
remainder	0.0594854
doubling	0.059454
))
("about @@ points" (desc 2351.12) (sims
"nearly @@ points"	0.361232
"over @@ points"	0.329998
"more than @@ points"	0.32589
"nearly @@@ points"	0.273553
"more than @@@ points"	0.260783
"over @@@ points"	0.249748
"about @@@ points"	0.199135
"two cents"	0.153046
"nine points"	0.142763
"five points"	0.1365
"six points"	0.133833
"four points"	0.127089
"one cent"	0.126268
"two points"	0.124095
"seven points"	0.120743
"three points"	0.118418
"more than @.@ percent"	0.117763
"eight points"	0.116793
"eight cents"	0.114891
"five cents"	0.113912
"a few points"	0.111387
"percentage point"	0.106932
"nine cents"	0.102016
"a few pounds"	0.098667
"three cents"	0.0977675
"about @@ pounds"	0.0939125
"one point"	0.0918584
"more than @@ yards"	0.0908307
half-length	0.087475
centavo	0.0855876
"about @ percent"	0.0838154
"two percent"	0.0795587
"about @@ degrees"	0.0785404
pfennig	0.0772851
"another @.@ percent"	0.0766814
"one percent"	0.076602
"one dollar"	0.076209
"about @.@ percent"	0.0744089
octave	0.0737467
"nearly @"	0.0725599
"one shot"	0.0721198
"another @"	0.0718694
"More than three quarters"	0.0712571
cent	0.0699633
BSE-@@@	0.0695475
"about @@@ percent"	0.0686368
"a few yards"	0.0679758
"about @@ yards"	0.0675023
"nearly @@"	0.0674084
"basis point"	0.0668182
"about five percent"	0.0666411
"nine percent"	0.0664055
"almost @@"	0.0661848
"double digit"	0.0660642
"eight percent"	0.0636954
"one second"	0.0631162
"about four percent"	0.0626727
"five billion yuan"	0.0621027
sharemarket	0.0620993
"one meter"	0.0616951
"about @@ inches"	0.0613619
"five percent"	0.0611022
"four inches"	0.0609444
"six percent"	0.0593457
RM@@.@@	0.0592331
"Singapore Press Holdings"	0.0587063
"Less than one"	0.0586443
"more than @@@ million dollars"	0.0586199
"three meters"	0.0583439
hundredth	0.0582226
"Sensitive Index"	0.0581982
team-high	0.0577593
"close to @@"	0.057519
Sen	0.0574896
"almost $@@ million"	0.0574016
"less than one percent"	0.0570978
CAC-@@	0.0570197
"about @.@@ percent"	0.0566859
"more than @"	0.0565315
"About @@ per cent"	0.0562753
"about @ billion dollars"	0.0561967
"four percent"	0.0561596
penny	0.0561045
"Karachi Stock Exchange"	0.0560449
"nearly $@"	0.0551076
"about @.@"	0.0547504
percent	0.0535056
half-game	0.0534984
"About @@.@ percent"	0.0534085
"about @ inches"	0.0532924
"more than @ billion dollars"	0.053274
"more than @@ minutes"	0.053101
"about two percent"	0.0530444
"seven percent"	0.0529859
"more than @.@ billion dollars"	0.052411
"three percent"	0.0523241
"Over @@@ Million Dollars"	0.0520341
"blue chip"	0.0518293
toehold	0.0517111
"three inches"	0.0514186
"FTSE @@@"	0.0513926
"almost $@@@,@@@"	0.0511951
"about $@.@@"	0.0509978
"nearly @@ billion yuan"	0.0506776
Centigrade	0.0505229
"one million US dollars"	0.0505077
"more than @@ billion yuan"	0.0503596
"about $@"	0.0503182
"Stock Exchange of Thailand"	0.0500571
"two baskets"	0.0500548
"Straits Times Index"	0.0496805
Nikkei	0.0495966
second-highest	0.0493627
"miles per gallon"	0.0492659
"more than @@@ yards"	0.0491999
one-tenth	0.049184
"almost @@@"	0.049174
half-point	0.0491261
"ten percent"	0.0490989
"More than one third"	0.0490586
Immunex	0.0487765
"five meters"	0.0486482
eight-tenths	0.0485544
"first points"	0.0481253
Lightyear	0.0478898
"about $@.@ million"	0.0478175
"a few inches"	0.0477934
"CAC @@"	0.0473564
"Development Bank of Singapore"	0.047338
"about @@@ million yuan"	0.0472254
half-inch	0.0471029
"two meters"	0.0470886
"less than @@@"	0.0470494
"four billion yuan"	0.0469888
"about @@@ million dollars"	0.0468439
receipts	0.0467731
career-best	0.0465419
"about $@ million"	0.0465046
"nearly $@@,@@@"	0.0463518
"about $@@@ billion"	0.0462188
TELLABS	0.0460493
virginity	0.0459648
"two inches"	0.0457787
third-highest	0.0456871
edging	0.0454386
"a few dollars"	0.0453856
"more than @@@,@@@ yuan"	0.0453791
"about @@@ yards"	0.0451775
Mabry	0.0447667
three-fifths	0.0446719
"one homer"	0.0446107
"Kuwait Stock Exchange"	0.044575
"last @@ points"	0.0444135
three-tenths	0.0442173
"More than one-third"	0.044168
"a few thousand dollars"	0.0441529
"four @-pointers"	0.0441064
"knockout punch"	0.0440961
"split decision"	0.0440243
"bond price"	0.043818
"about one-tenth"	0.0438145
"nose dive"	0.0437986
"first basket"	0.043797
"hundred dollars"	0.0435632
"more than @@@ billion yuan"	0.0434995
"trading session"	0.0431621
"about @.@ billion dollars"	0.0428007
Fahrenheit	0.0424331
"about $@@.@ million"	0.042343
"about $@@.@@"	0.0422503
"Australian dollar"	0.0419389
FTSE	0.0419182
tenth	0.0419063
third-best	0.0417966
"billion yuan"	0.0417073
"one million dollars"	0.0416532
inhibition	0.0416327
"more than @ billion yuan"	0.0414578
"more than @,@@@ yards"	0.0413277
"almost $@ million"	0.0411618
"more than one billion yuan"	0.0411556
"about @@ meters"	0.0411281
"two @-pointers"	0.0410941
"nearly one-third"	0.0410437
"less than @.@ percent"	0.0408832
"nearly $@@ million"	0.0408014
"Mars Climate Orbiter"	0.0405318
two-tenths	0.0404861
physicals	0.0404027
"about $@.@ trillion"	0.0403397
"about @@@ meters"	0.0401908
"nearly $@@"	0.0401844
"ten days"	0.040026
))
("about @@ pounds" (desc 2659.9) (sims
"five kilograms"	0.241442
"two pounds"	0.21248
"a few pounds"	0.210908
"more than @@@ pounds"	0.182181
"two tons"	0.158467
"about @@@ pounds"	0.158086
"three tons"	0.157834
"about @ pounds"	0.157149
"more than @,@@@ pounds"	0.149604
"more than @,@@@ tons"	0.148849
"more than @@ tons"	0.147028
"one kilogram"	0.145826
"one ton"	0.137174
"one pound"	0.134353
Kilogram	0.125506
"more than @@@ tons"	0.122372
"about @@ tons"	0.118451
"six tons"	0.118088
"about @@@ tons"	0.116772
"five tons"	0.113502
gram	0.106443
"two cents"	0.103356
"four tons"	0.100546
"over @@,@@@ tons"	0.0991673
ton	0.0958141
"about @@ points"	0.0939125
"over @@@ tons"	0.0937519
"one ounce"	0.0937213
"about @@@,@@@ tons"	0.0918708
kilo	0.0910145
"five cents"	0.0880202
"one cent"	0.0839606
"about @,@@@ tons"	0.0827843
"more than @@,@@@ tons"	0.0827023
"about @@@ points"	0.0825947
"about @@,@@@ tons"	0.0816144
"one million dollars"	0.0808138
"over @,@@@ tons"	0.0805339
"two bags"	0.0804056
"over @@@,@@@ tons"	0.0801638
ounce	0.0799715
"over @@@ million US dollars"	0.0794888
kg	0.0780818
"more than @.@ percent"	0.0773353
"more than @@@,@@@ tons"	0.0764621
"nearly @@@ points"	0.0756923
"nine cents"	0.0749216
"over @@ million US dollars"	0.0744822
"nearly @@ points"	0.0732778
"more than @@@ million dollars"	0.0728706
"three cents"	0.0709246
"hundred dollars"	0.069163
tonne	0.0688203
"thousand dollars"	0.0686858
"a few hundred dollars"	0.0685546
"eight cents"	0.0684383
"more than @@@ million tons"	0.0682023
"about @.@ million tons"	0.0663178
"nearly $@"	0.0658517
kgs	0.0653591
heaviest	0.064615
"over $@@"	0.0638949
"more than @@@,@@@ yuan"	0.0636655
"one cup"	0.0630953
"about @@ million tons"	0.0622932
"a few dollars"	0.0617755
"one million tons"	0.0610627
"about @ ounces"	0.060959
"about @@@ percent"	0.0609407
"five million yuan"	0.0605833
"million yuan"	0.0604879
"four inches"	0.0603931
"more than @@@ points"	0.0596068
"over @@ points"	0.0594903
"metric ton"	0.0592332
"more than @@ points"	0.0590011
"more than @@,@@@ yuan"	0.0584649
half-inch	0.057856
"over @@@ million yuan"	0.0575271
flavour	0.0569358
"more than @@@ million yuan"	0.0566151
"about two percent"	0.0561304
carload	0.0561009
"more than @ billion dollars"	0.0557859
"more than @@ million tons"	0.0556665
"a few points"	0.0555929
"more than @ billion yuan"	0.0553014
"almost $@@,@@@"	0.0551008
"nearly $@@"	0.0546941
"more than @,@@@ yards"	0.0543991
"billion yuan"	0.0540713
"more than @@ million US dollars"	0.054002
"two bottles"	0.0534162
"nearly $@@@ million"	0.0531457
"lethal dose"	0.0529343
"three inches"	0.0524606
"about $@ million"	0.0519382
packet	0.051938
"almost $@@ million"	0.0518881
"more than @@@ million US dollars"	0.0518313
"three million tons"	0.0517923
"one billion yuan"	0.0515837
"about @@,@@@ acres"	0.0511602
"more than @@@ yards"	0.0510629
"five billion yuan"	0.05087
"about @@@,@@@ hectares"	0.0508672
pfennig	0.0508104
"billion dollars"	0.0503213
"hundred million dollars"	0.0502561
RM@	0.0501489
"more than @@ million dollars"	0.0498005
"about $@ billion"	0.0495994
"about @ tablespoons"	0.0492189
"five million tons"	0.0487964
centavo	0.0487018
"one homer"	0.0484139
"Twenty-five percent"	0.0481137
elasticity	0.0476042
truckload	0.0465682
bushel	0.0464776
"five points"	0.0463632
"nearly $@ billion"	0.0462604
RM@@.@@	0.0462584
"almost $@@ billion"	0.0462559
"one inch"	0.0461081
"about $@.@@ million"	0.0457628
"one billion US dollars"	0.0456766
blinker	0.0454903
"two baskets"	0.0453988
"over $@@ million"	0.0451093
"More than three quarters"	0.0450563
"about $@,@@@"	0.04493
"more than @@.@ billion yuan"	0.0445317
tad	0.0445197
"more than one-fourth"	0.0444004
"million dollars"	0.0443363
"about $@.@ million"	0.0442931
"over @@@ points"	0.0439136
tablespoon	0.043781
isotope	0.0434614
g.	0.0434605
"about @@.@ million dollars"	0.0434409
"more than @@ yards"	0.0434135
"more than @@ billion yuan"	0.0432479
"four million tons"	0.0431475
"nearly $@ million"	0.0428892
"nearly @.@ billion yuan"	0.0428047
"more than @.@ billion dollars"	0.0427124
megabits	0.042415
"more than @,@@@ acres"	0.0423304
octave	0.0422055
"nearly @@ billion yuan"	0.0419364
"three points"	0.0418342
vial	0.0418259
no-decisions	0.0417835
"almost two-thirds"	0.0417495
"about $@"	0.0416978
"nine percent"	0.0416507
Four-fifths	0.0414646
spoonful	0.0414077
"six million tons"	0.0413252
FTSE	0.0413031
"random sample"	0.0412368
wasting	0.0411642
"seven points"	0.0411594
"four to five"	0.0410679
Sen	0.0410538
"first points"	0.0408847
"more than @@@ billion yuan"	0.0408481
"about $@@.@ million"	0.0408353
"More than one third"	0.0407935
"nearly $@@@ billion"	0.040791
"about @@@,@@@ acres"	0.0407896
"RM@@,@@@"	0.0407801
"big leaguer"	0.0406107
hyphen	0.0405567
"two inches"	0.0405334
"whole lot"	0.0405302
"More than one-third"	0.0404092
"two billion yuan"	0.040372
"over $@@@ million"	0.0403173
"nearly @@@ million yuan"	0.0401464
RM@@@	0.040107
"nine yards"	0.0400452
"Over @@@ Million Dollars"	0.0400197
"Stock Exchange of Thailand"	0.0400155
))
("about @@ times" (desc 4024.03) (sims
"more than @@ times"	0.223858
"nearly three times"	0.215181
"more than three times"	0.215151
"about @@@ times"	0.21351
"eight times"	0.208171
"ten times"	0.203273
"up to @@ times"	0.200384
"nearly @@ times"	0.183604
"about three times"	0.180805
"almost three times"	0.180379
"Five times"	0.180076
"about five times"	0.173708
"six times"	0.169645
"about four times"	0.161963
"four times"	0.161017
"nine times"	0.156731
"three times"	0.154984
"more than five times"	0.147888
"two times"	0.147651
"two to three times"	0.14124
"more than four times"	0.139847
"seven times"	0.138085
"From January to June"	0.0916595
"more than @@@ times"	0.0651237
"from January to May"	0.0635264
"about @ @/@ hours"	0.0630545
"right here"	0.0624695
"seasons ago"	0.0609151
pretax	0.0592529
"months ago"	0.0588515
"six months ago"	0.0572594
"from @@@@ to @@@@"	0.0567381
"over @@ months"	0.0566714
doggone	0.0564164
"about @@ inches"	0.0558635
"three weeks ago"	0.0545259
"five weeks ago"	0.0543641
"about @@ years ago"	0.0539617
"more than @@ years ago"	0.053885
"three days ago"	0.053081
"over three days"	0.052966
"about @.@"	0.0525515
"more than two years ago"	0.0516785
"a few weeks ago"	0.0516107
"over three years"	0.0507304
"over four years"	0.0503635
"over six years"	0.0499095
"two months ago"	0.0498745
"up to @@ hours"	0.0495892
"years ago"	0.0493747
"more than @@ hours"	0.0489091
"nine years ago"	0.0483849
"eight years ago"	0.0475981
"three years ago"	0.0472017
"nearly @@ years ago"	0.0469704
"about one-tenth"	0.0461945
"four days ago"	0.0460488
"one year ago"	0.0454973
"one meter"	0.045269
"a few hours"	0.0448185
"over two years"	0.0444125
"over six months"	0.0443719
"six hours"	0.0443327
"one month"	0.0440662
"more than two decades ago"	0.0440428
"about two hours"	0.0439607
"a few years ago"	0.0439344
intraday	0.04387
"two days ago"	0.0436629
"Five days ago"	0.0436253
"about six weeks"	0.0431275
"days ago"	0.0430398
"time ago"	0.0426382
"half time"	0.0423039
"five years ago"	0.0422291
"about @@ minutes"	0.0420797
"over @@ years ago"	0.0414307
"two meters"	0.0412943
"six weeks ago"	0.0404373
))
("about @@ to @@" (desc 3592.55) (sims
"about @@-@@"	0.168579
"about @@@ to @@@"	0.137164
"up to @@"	0.135014
"roughly @@"	0.133017
"close to @@"	0.132944
"about @@"	0.131176
"close to @@@"	0.129111
"up to @,@@@"	0.127976
"five to @@"	0.127493
"almost @@"	0.124
"nearly @,@@@"	0.11726
"About @,@@@"	0.117211
"up to @@@"	0.115567
"less than @@@"	0.114215
"less than @@"	0.113509
"about @@@"	0.112104
"about five"	0.109566
"more than @,@@@"	0.108787
"about @"	0.108392
"nearly @@@"	0.107457
"up to seven"	0.106059
"about four"	0.104789
"about @@,@@@"	0.104177
"almost @@@"	0.103756
"less than @"	0.103147
"over @@@"	0.102054
"more than @@@"	0.101537
"more than @@"	0.101246
Thirty-three	0.101165
"three to four"	0.100698
"roughly @,@@@"	0.100191
"more than @.@@ million"	0.0983531
"roughly @@@"	0.0983073
Nineteen	0.0981993
"about eight"	0.0976888
"over @.@ million"	0.0965577
"over @,@@@"	0.0964202
"six to eight"	0.0949577
"less than @@,@@@"	0.0949236
"six to @@"	0.0934606
Fifteen	0.093278
"more than @ billion"	0.0929841
"more than @@,@@@"	0.0926661
"about six"	0.0920726
"up to @@@,@@@"	0.0919996
"about two"	0.0919898
"More than three million"	0.0918615
"nearly @@"	0.0918183
"up to five"	0.0914121
"four to five"	0.0894357
"up to eight"	0.0893548
"up to @@ million"	0.0891284
"more than eight"	0.088661
Forty-seven	0.0883445
"about @@@,@@@"	0.0881376
"more than @@@ million"	0.0878961
"up to four"	0.0872918
"about seven"	0.0867098
"up to @@,@@@"	0.0866653
"about @ million"	0.0861862
"more than six"	0.0861085
"three million"	0.0856068
"up to three"	0.0853974
"over @@,@@@"	0.0850351
"about @.@"	0.0850281
"More than @.@ million"	0.0847098
"almost @@@,@@@"	0.0846121
"nearly @@,@@@"	0.0846121
Twelve	0.0845844
"About @ billion"	0.0842615
"up to @"	0.0838965
"other @@@"	0.0835423
forty	0.0835106
"about @.@ million"	0.082387
"another @@"	0.0812885
"less than two"	0.0812152
"about @ percent"	0.0810222
"less than @.@ percent"	0.0809209
"up to six"	0.0805969
"Four million"	0.080576
"less than @,@@@"	0.0804531
"over @@"	0.0799493
"eight million"	0.079816
Thirty	0.0793203
"More than two"	0.0786809
"about three"	0.0785853
"roughly @@,@@@"	0.0784806
"two to three"	0.0784151
"nearly one million"	0.0784106
"more than @@@,@@@"	0.0783329
"more than four"	0.077938
"six million"	0.0777639
"About @.@@ million"	0.0770396
"eight to @@"	0.0769997
"about one-tenth"	0.0769377
"almost @"	0.0768579
"more than five"	0.0767932
"first @@@"	0.0766402
"almost @@ million"	0.0766386
Thirteen	0.0765193
"Over one million"	0.0763746
"more than three"	0.0763596
"two dozen"	0.0763006
Forty-two	0.0760912
"Three hundred"	0.0753615
"up to two"	0.0752222
Thirty-five	0.0749226
"over @.@@ million"	0.0745117
"nearly @@@,@@@"	0.0744447
Fifty	0.0741784
"ten thousand"	0.0736793
"Around @@"	0.0736459
"About one"	0.0733527
"almost @@,@@@"	0.0731367
"more than @@ million"	0.073009
Sixteen	0.0722294
"Another @@@"	0.0721229
"more than seven"	0.0712153
twenty	0.0708258
"close to @,@@@"	0.0703684
"almost @ million"	0.0701093
"over @@@,@@@"	0.07002
"four to six"	0.0690638
"less than five percent"	0.0688987
Thirty-six	0.068869
"about @.@@ percent"	0.0688478
"Nearly two"	0.0680278
"Another @,@@@"	0.067883
one-tenth	0.0676403
"more than one"	0.0671042
"about @@ million"	0.0670563
"up to @ million"	0.0668157
"about one-fifth"	0.0666671
"five million"	0.0663107
"nearly @ million"	0.0660209
"almost @,@@@"	0.0654089
"about @@@ million"	0.0653057
"almost two"	0.0651189
"another @"	0.0650198
"less than one percent"	0.0649704
Fourteen	0.0647939
Eighteen	0.0644998
"about four percent"	0.0642136
"half a dozen"	0.0639595
"three to five"	0.0637503
"two million"	0.0631976
Forty-four	0.0630346
"nearly @@ million"	0.0627371
"more than @"	0.0625542
"more than one million"	0.0625122
"Less than one"	0.0625066
"six percent"	0.062302
"about @@@ percent"	0.0618414
"another @.@ million"	0.0617587
"two to three times"	0.0617533
"Another eight"	0.0617289
"about $@"	0.0616825
"two to four"	0.0616806
Kosovar	0.0616233
"about one-third"	0.0609817
"over @"	0.0608046
"Other @@"	0.060728
"close to @@,@@@"	0.0605172
sixty	0.0604159
"another @@@,@@@"	0.0603676
"one percent"	0.0601003
"One Million"	0.0599991
"nearly @"	0.0599391
"about @.@ percent"	0.0596276
"Seven million"	0.0593279
"more than @ million"	0.0592911
twenty-six	0.0588838
"nine million"	0.0586204
"nine percent"	0.0585627
MRTA	0.0584438
"roughly @@@,@@@"	0.058433
"nearly @@@ million"	0.0582619
"About one million"	0.0582279
"less than five"	0.0580039
"Kosovar Albanian"	0.0579249
"about one third"	0.0577651
"another six"	0.0574051
"seven percent"	0.0573432
"another three"	0.0572264
"About @@ per cent"	0.0571538
"about nine"	0.0571166
"eight percent"	0.0569114
"two percent"	0.056647
"Nearly @.@ million"	0.0562575
"About two million"	0.0560741
"three percent"	0.0559724
"more than one-fifth"	0.0558341
"other nine"	0.0554995
"Three billion"	0.0552152
"About @@.@ percent"	0.0552075
"more than ten"	0.0551374
"about one-quarter"	0.0550672
"Another @@ million"	0.0546714
"More than two million"	0.0545412
"nearly four"	0.0545065
))
("about @@ to @@ minutes" (desc 1226.22) (sims
"about @ hour"	0.497665
"about @ minutes"	0.458684
"another @@ minutes"	0.405773
"about @ minute"	0.391651
"about @ hours"	0.325222
"about @@ minutes"	0.232174
"about @ @/@ hours"	0.190851
"about five minutes"	0.125884
"more than five hours"	0.118253
"a few minutes"	0.115871
"about two minutes"	0.113639
"about six hours"	0.0961262
"about one hour"	0.0841616
"up to @@ minutes"	0.0803284
"over three days"	0.0787036
"over two hours"	0.0782059
"up to three months"	0.0743042
"about six weeks"	0.0720804
"more than four hours"	0.0701781
"about two hours"	0.0698217
"up to @@ hours"	0.0693875
"more than @@ days"	0.069155
"over @@ hours"	0.0688802
"more than two hours"	0.0673996
"nine hours"	0.0667958
"almost two hours"	0.0653929
"about four hours"	0.0648365
"nearly three hours"	0.0647703
"another two weeks"	0.0643227
"seven hours"	0.0638376
"more than three weeks"	0.0612769
"about @@ hours"	0.0600487
"another four years"	0.0590425
"more than three hours"	0.0589903
"nearly four hours"	0.0583132
"more than four months"	0.0574957
"nearly two hours"	0.0573885
"nine days"	0.0567648
"more than five minutes"	0.0550003
"about four years"	0.0541475
"another @@ years"	0.0533802
"about five hours"	0.0533066
"another three years"	0.0532472
"three to six months"	0.0523835
"three to five years"	0.0511012
"about six months"	0.0505185
"another two years"	0.0504685
"up to two weeks"	0.0492375
"more than @@ hours"	0.0491888
"six to eight weeks"	0.0488701
"nearly @@ hours"	0.0482573
"about three hours"	0.047747
"nearly six years"	0.0474161
"more than @@ minutes"	0.0468316
"another five years"	0.0467818
"about @@ days"	0.0457544
"up to @@ months"	0.0457113
"almost two decades"	0.0452978
"nearly @@ times"	0.0451879
"up to six months"	0.0449644
"more than four years"	0.044814
"four to six weeks"	0.0447068
"over @@ years ago"	0.0441073
"nearly two decades"	0.0439738
"about three years"	0.0432082
"up to three years"	0.0429882
"nearly two weeks"	0.0428368
"nearly two months"	0.0425468
"more than six years"	0.0417322
"nearly @@ minutes"	0.0415518
"about three months"	0.0409625
"more than six months"	0.0406917
"about four years ago"	0.0402106
"nearly five years"	0.0401244
"more than three months"	0.0400635
))
("about @@ tons" (desc 2352.89) (sims
"about @@@ tons"	0.389473
"more than @,@@@ tons"	0.326709
"more than @@@ tons"	0.324836
"more than @@ tons"	0.287371
"five tons"	0.285058
"over @@@ tons"	0.266304
"three tons"	0.266121
"two tons"	0.250962
"over @,@@@ tons"	0.245137
"about @,@@@ tons"	0.240388
"six tons"	0.227438
"over @@,@@@ tons"	0.226661
"one ton"	0.226632
"more than @@@ pounds"	0.219282
"more than @ million tons"	0.210183
"about @@,@@@ tons"	0.203982
"more than @@,@@@ tons"	0.203812
"about @@ million tons"	0.190717
"five kilograms"	0.18648
"more than @@@,@@@ tons"	0.186423
"four tons"	0.180254
"more than @@ million tons"	0.172204
"about @@@,@@@ tons"	0.171869
"more than @,@@@ pounds"	0.168322
"more than @@@ million tons"	0.164559
"over @@@,@@@ tons"	0.162541
"six million tons"	0.157575
"four million tons"	0.15148
quantity	0.14919
"two million tons"	0.148662
"one kilogram"	0.148517
ton	0.146749
consignment	0.142959
"about @@@ pounds"	0.140855
"million tons"	0.137164
"about @.@ million tons"	0.135408
tonne	0.13367
"over @@ million tons"	0.13322
"five million tons"	0.126543
airdrop	0.124869
planeloads	0.123124
"three million tons"	0.118527
"about @@ pounds"	0.118451
planeload	0.117718
shipload	0.112111
"metric ton"	0.109309
kilo	0.101634
kgs	0.0992426
truckload	0.0989939
kg	0.0970917
"two pounds"	0.093298
Kilogram	0.0919365
"one million tons"	0.0869015
cache	0.0856353
batch	0.0800073
"cubic meter"	0.0771928
"one ounce"	0.0769806
"one pound"	0.0764366
"two bags"	0.0755037
trainload	0.075351
"two bottles"	0.0731386
dollars-worth	0.0721229
gallon	0.0712941
bushel	0.0698073
unloading	0.0677168
tons	0.067637
crate	0.0675865
"two boxes"	0.0675026
using	0.0673591
importing	0.0670061
gram	0.0652186
"ammonium nitrate"	0.0648431
"About @@ per cent"	0.0636377
pallet	0.0634973
cultivator	0.0623752
carload	0.0617198
"about @@,@@@ acres"	0.0614402
ounce	0.0606221
quart	0.0606008
"about @@@,@@@ acres"	0.0602967
"Eighty-five percent"	0.0601303
"about one third"	0.0599103
pumping	0.0598553
contraband	0.0592276
"more than @@@ hectares"	0.0591708
"more than @@ billion US dollars"	0.0586618
vial	0.0583611
"a few pounds"	0.0581666
importation	0.0573486
"more than one-fifth"	0.0568901
"aircraft part"	0.0567841
packet	0.0563568
"iron ore"	0.0562576
"about @,@@@ acres"	0.0562462
"sulfuric acid"	0.0561857
cu.m	0.0561465
photon	0.0557131
isotope	0.0543653
liter	0.053258
plume	0.0526263
megabits	0.0526207
transshipment	0.0523185
bale	0.0521698
"lethal dose"	0.0517237
"more than @@@,@@@ yuan"	0.0515164
sachet	0.0508788
Four-fifths	0.0491224
"Seventy percent"	0.0487416
"million acres"	0.0484798
"more than @ billion dollars"	0.0484787
"more than @@@,@@@ hectares"	0.0481213
rations	0.0474356
"beam of light"	0.0474277
"more than @@,@@@ acres"	0.0473442
labeling	0.0468851
Ingestion	0.0464863
VCDs	0.0463898
incineration	0.0462951
droplet	0.046288
"more than @,@@@ hectares"	0.0460447
"more than @,@@@ acres"	0.0458736
boatload	0.045518
ingot	0.0452223
fleck	0.0451974
overabundance	0.0450837
Tonnage	0.0447842
"less than five percent"	0.0444927
decriminalization	0.0442102
"one cup"	0.0441269
"milk cow"	0.0437168
"nearly @@@ million yuan"	0.0434312
MiGs	0.0433538
vapor	0.0430912
"essential oil"	0.0430614
"more than @@@ million yuan"	0.0429689
"fuel oil"	0.0429066
"about three-quarters"	0.0425885
pellet	0.0424593
"more than @@,@@@ yuan"	0.042146
gusher	0.0420822
"About three quarters"	0.0420136
residue	0.0417741
jigsaw	0.0416329
"electric current"	0.0415954
opium	0.0413623
"two sacks"	0.0413328
"over @@ million yuan"	0.0410703
phosphate	0.040818
mouthful	0.040779
"about @@@ acres"	0.0407692
trove	0.0407301
"two units"	0.0406778
"almost $@@ billion"	0.0405142
"roughly one-third"	0.0404736
stockpiling	0.0404656
one-seventh	0.0403141
"more than @@,@@@ hectares"	0.0402375
diode	0.0401896
))
("about @@ yards" (desc 7070.9) (sims
"about @@@ yards"	0.173808
"a few yards"	0.157038
"about @@@ meters"	0.146602
"a few meters"	0.125132
"about @@ meters"	0.12155
"about two miles"	0.121511
"five meters"	0.120765
"two meters"	0.115508
"a few inches"	0.113139
"hundred yards"	0.109293
"half mile"	0.109273
"a few hundred yards"	0.102379
"eight miles"	0.101811
"about @@ inches"	0.101803
"two miles"	0.100896
"three miles"	0.099907
"a few miles"	0.0966534
"two inches"	0.0952657
"three meters"	0.0951997
"nine miles"	0.0936579
"five kilometers"	0.0916881
"three kilometers"	0.0886716
"seven miles"	0.0876264
"more than @@@ miles"	0.0871463
"more than @@ miles"	0.0851802
"one meter"	0.0850992
"about @ inches"	0.0843584
"about @@ miles"	0.0843418
"about five miles"	0.0837406
"about four miles"	0.0837218
"four miles"	0.0822769
"about three miles"	0.0820375
"about @@ kilometers"	0.0804578
"six miles"	0.0784081
"hundred miles"	0.0774914
"one kilometer"	0.07715
mile	0.0760025
inch	0.0734487
"two kilometers"	0.0724238
"about six miles"	0.0717897
"eight kilometers"	0.0715547
"four kilometers"	0.0714171
"about @@ km"	0.0693127
"about @@@ kilometers"	0.0680902
"about @@ points"	0.0675023
"one mile"	0.0663572
Lightyear	0.0651483
"about @@@ miles"	0.0646885
"nearly @@ points"	0.0643036
"four inches"	0.063919
"quarter mile"	0.0628432
"about @@@ points"	0.0627366
"a few kilometers"	0.0624195
"about @@@ km"	0.0624003
"about @,@@@ kilometers"	0.0603329
"about @,@@@ miles"	0.0602711
"five miles"	0.0600074
"more than @@@ yards"	0.0598545
"three inches"	0.0593376
"about @ miles"	0.0582494
"Nearly @@@ miles"	0.0578204
meter	0.056299
"two cents"	0.0554277
out.	0.0550494
shivering	0.0540498
"more than @@ yards"	0.0526444
"more than @@ points"	0.0525809
"free kick"	0.0519669
downfield	0.0514211
"six inches"	0.0510401
"a few points"	0.0510176
half-length	0.0501007
kilometer	0.0496008
bunker	0.049492
"six kilometers"	0.0492942
"more than @@@ kilometers"	0.0489189
"about two hours"	0.0484497
"two points"	0.0467924
"five points"	0.0458038
"about one kilometer"	0.0454638
"three points"	0.0442264
"nearly @@@ points"	0.0436921
upfield	0.0434537
"one shot"	0.0432456
downriver	0.0423359
"garbage can"	0.0419525
downcourt	0.0417444
"six points"	0.0407359
"over @@@ kilometers"	0.040706
header	0.0403797
))
("about @@ years" (desc 11175.8) (sims
"more than @@ years"	0.217195
"about two years"	0.197257
"almost @@ years"	0.182059
"nearly @@ years"	0.17705
"nine years"	0.162238
"about four years"	0.158895
"more than two decades"	0.157878
"seven years"	0.157286
"a few years"	0.155281
"eight years"	0.153492
"more than @@@ years"	0.152298
"more than @,@@@ years"	0.148024
"five years"	0.146938
"more than two years"	0.144577
"two years"	0.142914
"about three years"	0.140974
"more than five years"	0.139262
"six years"	0.138924
"two decades"	0.135738
"four years"	0.13355
"about @@ months"	0.133478
"eight months"	0.130374
"three years"	0.13013
"more than three years"	0.129108
"nearly five years"	0.123925
"over @@ years"	0.122045
"nearly two months"	0.12149
"seven months"	0.121414
"five months"	0.121099
"nine months"	0.118598
"a few months"	0.116768
"six months"	0.116195
"about five years"	0.11436
"three decades"	0.113571
"more than four years"	0.10968
"three months"	0.108451
"one year"	0.106058
"another @@ years"	0.105985
"less than @@ years"	0.104998
"nearly two decades"	0.104379
"ten years"	0.104201
"four decades"	0.104017
"more than @@ months"	0.103895
"nearly two years"	0.102611
"four months"	0.102582
"two months"	0.102199
"almost three decades"	0.10147
"up to three years"	0.10127
"over @@@ years"	0.10109
"more than six months"	0.100167
"up to @@ years"	0.0995087
"three weeks"	0.0981199
"eight weeks"	0.0975866
"six days"	0.0971228
"about three weeks"	0.0964534
"about @@ hours"	0.0945153
"five weeks"	0.0942777
"a few weeks"	0.0938601
"more than four decades"	0.0937598
"more than one year"	0.0932956
"about six months"	0.0931613
"one week"	0.0928981
"five hours"	0.0928157
"about three months"	0.0911505
"eight days"	0.0910885
"five decades"	0.0908653
"seven weeks"	0.0907214
"more than three decades"	0.0901133
"two to three years"	0.0899372
"one month"	0.0877078
"more than six years"	0.0875519
"about two weeks"	0.0870927
"nearly @@@ years"	0.0868182
"a few hours"	0.0857384
"six weeks"	0.0856217
"a few days"	0.0854419
"nearly three years"	0.0851959
"more than seven years"	0.0848606
"three to five years"	0.083932
"up to two years"	0.0836673
"up to six months"	0.0824201
"four weeks"	0.0822794
"more than two months"	0.0821009
"almost three years"	0.0817932
"more than @@ minutes"	0.0815699
"long time"	0.0814283
"about two months"	0.0813448
"five days"	0.081229
"more than @@ hours"	0.0807357
"less than two years"	0.0795353
"three hours"	0.0793682
"almost two months"	0.0791058
"four hours"	0.0790657
"about five minutes"	0.0787286
"another five years"	0.0775277
"almost two decades"	0.076011
"about @@ days"	0.0757444
"three days"	0.0753168
"four days"	0.0751535
"about @@ minutes"	0.0746471
"a few minutes"	0.0745213
"more than three months"	0.0739411
"nearly six years"	0.0739271
"five to @@ years"	0.073193
"nearly four years"	0.0729816
"six decades"	0.0726871
"two hours"	0.0718906
"almost two years"	0.0718506
"about three hours"	0.0717253
"more than eight years"	0.0716631
"six to eight weeks"	0.0714105
"six hours"	0.07106
"up to three months"	0.0709239
"five minutes"	0.0705469
"eight hours"	0.0703761
"two weeks"	0.0696788
"nearly four decades"	0.0686017
"two to three weeks"	0.0680493
"seven days"	0.0680319
"more than two weeks"	0.0674655
"almost four years"	0.0661469
"past @@ years"	0.0660884
"about two hours"	0.065825
"nearly three decades"	0.0653519
"about two minutes"	0.065043
"seven hours"	0.0647847
"another four years"	0.0647622
"nearly @@ minutes"	0.0646219
"another three years"	0.0645769
"over @@ hours"	0.0644951
"nearly two hours"	0.0643184
"thousand years"	0.064252
"two days"	0.0630138
"more than two hours"	0.0626917
"nine weeks"	0.0626771
"more than three weeks"	0.0625944
"up to @@ days"	0.0618344
"up to five years"	0.0617073
"last @@ years"	0.0616416
"ten days"	0.061469
"seven decades"	0.0605281
"nearly @@ hours"	0.0602865
"more than four months"	0.0598593
"nearly @@ months"	0.0590955
"over two years"	0.059087
"nearly three months"	0.0590536
"period of time"	0.0579285
"over @@ minutes"	0.0577238
"more than three hours"	0.0572919
"up to @@ hours"	0.0569214
"almost two weeks"	0.0568246
"four to six weeks"	0.0567749
"another six months"	0.0565437
"nearly seven years"	0.0562226
"next @@ years"	0.0559984
"a few decades"	0.0559531
"hundred years"	0.0556626
"nine days"	0.0546454
"last @@@ years"	0.0542266
"up to @@ months"	0.0536337
"about four hours"	0.053619
"three to six months"	0.0529473
"another @@ months"	0.0528148
"one hour"	0.0527281
"Less than two weeks"	0.0524292
"over @@ months"	0.0524195
"seven minutes"	0.0522373
"less than @@ minutes"	0.0517156
"another @@ days"	0.0512669
"less than three years"	0.0502223
"nine hours"	0.0497638
"nearly two weeks"	0.0493025
"more than four hours"	0.0472257
"another two years"	0.04673
"nearly three hours"	0.046477
"less than @@ hours"	0.0461711
"one minute"	0.0461449
"two nights"	0.0460496
"from @@@@-@@@@"	0.0455539
"three minutes"	0.0452991
"two minutes"	0.0451914
"time to come"	0.0450072
"less than five minutes"	0.0442708
quarter-century	0.0434393
"next two years"	0.0431936
"from @@@@ to @@@@"	0.0429102
"last six years"	0.0422112
"last five years"	0.0419802
"next four years"	0.0416173
"next five years"	0.0406211
"six minutes"	0.0404678
))
("about @@ years ago" (desc 3748.27) (sims
"nine years ago"	0.251537
"more than @@ years ago"	0.249127
"about five years ago"	0.242849
"about four years ago"	0.241174
"six years ago"	0.240969
"seven years ago"	0.226748
"nearly @@ years ago"	0.225583
"about three years ago"	0.214727
"about two years ago"	0.212579
"three years ago"	0.212179
"eight years ago"	0.205306
"almost @@ years ago"	0.2051
"eight months ago"	0.19691
"years ago"	0.191536
"a few months ago"	0.189755
"four decades ago"	0.186912
"less than two years ago"	0.180664
"decades ago"	0.177097
"a few years ago"	0.173437
"nine months ago"	0.173043
"five years ago"	0.172518
"nearly three years ago"	0.169922
"six months ago"	0.168054
"about @,@@@ years ago"	0.168019
"four years ago"	0.16796
"two years ago"	0.165442
"Ten years ago"	0.162183
"over @@ years ago"	0.160765
"two months ago"	0.157703
"one year ago"	0.153832
"more than two years ago"	0.151554
"about @@ months ago"	0.150442
"more than two decades ago"	0.149198
"nearly two decades ago"	0.149175
"Five months ago"	0.148884
"more than @@@ years ago"	0.148222
"six weeks ago"	0.145443
"two decades ago"	0.144269
"four months ago"	0.134949
"decade ago"	0.134628
"seven months ago"	0.133693
"seasons ago"	0.133167
"months ago"	0.131953
"three months ago"	0.128948
"more than @,@@@ years ago"	0.12784
"time ago"	0.127227
"about two weeks ago"	0.125325
"three days ago"	0.117671
"nearly two years ago"	0.116744
"three weeks ago"	0.112362
"more than three years ago"	0.111826
"a few days ago"	0.111051
"two weeks ago"	0.110556
"three decades ago"	0.105846
"nine days ago"	0.103446
"a few weeks ago"	0.1023
"about two months ago"	0.0948223
"about three weeks ago"	0.0945858
"summers ago"	0.0941628
"five weeks ago"	0.0854008
"weeks ago"	0.0850176
"from @@@@ to @@@@"	0.0848365
"four days ago"	0.0829861
"a few years"	0.0819675
"less than two weeks ago"	0.0815304
"over @@ months"	0.0809921
"nearly two weeks ago"	0.079411
"two days ago"	0.0787862
"right here"	0.0773898
"over two decades"	0.0771206
"one week ago"	0.0734644
"month ago"	0.0728237
"days ago"	0.0721999
"year ago"	0.0717445
"over four years"	0.0695575
"one night"	0.0682824
"four weeks ago"	0.0676375
"Five days ago"	0.0664547
"over @@ years"	0.0650574
"over seven years"	0.0649184
"week ago"	0.0647104
"less than @@ hours"	0.0631892
"Over three decades"	0.0622778
"over five years"	0.0620196
anywhere	0.0616191
"two centuries ago"	0.0597615
"more than @@@ times"	0.0581112
"eight days ago"	0.0570711
"nine times"	0.0563389
Springs	0.0542448
"over @@ minutes"	0.0540831
"about @@ times"	0.0539617
"six days ago"	0.0535776
"from January to September"	0.0534711
"over three years"	0.0531046
"more than @@ times"	0.0506744
"from @@@@-@@@@"	0.0505359
"about two hours"	0.0493764
"about two weeks"	0.0490861
"about six hours"	0.048271
"one weekend"	0.0481727
"more than three times"	0.0480882
"over three days"	0.0467184
"nearly three times"	0.0464979
"Ten minutes"	0.0461657
"over @@ hours"	0.0458082
"four times"	0.0456798
"a few months"	0.0456203
"one month"	0.0447328
"about three hours"	0.0447194
"Feb @"	0.0444342
"over @@@ years"	0.0440832
Jun	0.0440398
"eight months"	0.0435924
"May @."	0.0434291
"a few decades"	0.0431883
"a few hours"	0.0430488
"about two months"	0.0428076
"a few minutes"	0.042702
"one month ago"	0.0421144
"about six months"	0.041957
one-month	0.0411057
"more than five times"	0.0410615
"about three times"	0.0410608
"eight days"	0.0407812
"two times"	0.0406343
"six minutes"	0.0406132
"Nov @@, @@@@"	0.0401866
))
("about @@,@@@" (desc 31448.9) (sims
"about @@@,@@@"	0.36411
"About @,@@@"	0.354338
"more than @@,@@@"	0.345915
"more than @@@,@@@"	0.343382
"over @@,@@@"	0.293703
"more than @,@@@"	0.291755
"about @@@"	0.287874
"about @.@ million"	0.279189
"nearly @@,@@@"	0.2783
"over @@@,@@@"	0.277214
"nearly @@@,@@@"	0.261182
"More than @.@ million"	0.259928
"nearly @,@@@"	0.258091
"more than @ million"	0.256321
"about @ million"	0.249059
"over @,@@@"	0.246458
"about @@ million"	0.237399
"nearly @ million"	0.235323
"One Million"	0.228074
"up to @@,@@@"	0.227852
"more than @@ million"	0.227245
"more than one million"	0.222655
"over @ million"	0.217423
"more than @@@"	0.214507
"almost @@,@@@"	0.211401
"two million"	0.209338
"almost @@@,@@@"	0.209308
"up to @,@@@"	0.202279
"nearly @@ million"	0.19681
"over @.@ million"	0.194375
"about @@"	0.193558
"up to @@@,@@@"	0.193212
"over @@ million"	0.18842
"almost @,@@@"	0.185688
"Nearly @.@ million"	0.184676
"three million"	0.17963
"Over one million"	0.17799
"nearly @@@"	0.177317
"less than @,@@@"	0.173977
"less than @@,@@@"	0.17364
"more than @@@ million"	0.172615
"over @@@"	0.171727
"More than two million"	0.168758
"About one million"	0.165373
"less than @@@"	0.164757
"Another @,@@@"	0.163677
"Four million"	0.161705
"roughly @@,@@@"	0.161444
"another @@,@@@"	0.160989
"Seven million"	0.160089
"six million"	0.159952
"about @@@ million"	0.159652
"roughly @,@@@"	0.158877
"roughly @@@,@@@"	0.157108
"another @@@,@@@"	0.156546
"more than @@"	0.155887
"five million"	0.153234
"almost @@@"	0.151266
"almost @@ million"	0.14816
"eight million"	0.145268
"almost @ million"	0.144312
"about @@.@ million"	0.14339
"More than three million"	0.142011
"up to @@@"	0.139849
"more than @.@@ million"	0.135777
"close to @@,@@@"	0.13572
"nearly @@@ million"	0.135439
"Over two million"	0.134332
"About @.@@ million"	0.130974
"About two million"	0.128913
"Another @@@"	0.128825
"over @@@ million"	0.127308
"nearly one million"	0.127044
"up to @ million"	0.126771
"over @@"	0.125981
hundred	0.125039
"About three million"	0.124115
"nearly @@"	0.123925
"roughly @@@"	0.122196
"nine million"	0.1219
"over @.@@ million"	0.12123
"close to @,@@@"	0.116173
"more than four million"	0.115945
thousand	0.114595
"about @@ percent"	0.114147
"up to @@ million"	0.112039
Fifteen	0.11114
"less than @@"	0.110891
"up to @@"	0.110472
"almost @@"	0.107758
"Around @@@"	0.105975
"another @@"	0.105242
Twelve	0.104853
"about @@ to @@"	0.104177
"about @.@"	0.102609
Six	0.102368
ten	0.102046
"about @ percent"	0.101888
eight	0.101034
"first @@@"	0.100884
"Two hundred"	0.100835
nine	0.100748
"roughly @@"	0.10036
"another @ million"	0.10008
"about @@@ to @@@"	0.0998661
Eleven	0.0986203
Five	0.0979032
Thirteen	0.0966239
seven	0.0965959
"close to @@@"	0.095567
Sixteen	0.0941248
four	0.0928096
Eighteen	0.0927435
Nineteen	0.0927121
twenty	0.0919452
"ten thousand"	0.0919076
Fourteen	0.0907797
Thirty	0.0904672
"two dozen"	0.0899799
million	0.0897317
Three	0.0876825
two	0.0846857
"other @@@"	0.0843134
forty	0.0839906
"five percent"	0.0823598
Thirty-five	0.0814692
"a few"	0.0813602
one-third	0.0813112
"another @.@ million"	0.0810787
"eight percent"	0.0809837
"six percent"	0.0797342
"about @.@ percent"	0.0796901
"Other @@"	0.0796175
"Another @@ million"	0.0784933
"about six"	0.0780507
"seven percent"	0.077853
"four percent"	0.0772675
Thirty-two	0.0763512
"less than @"	0.0762305
seventeen	0.0756429
"about two-thirds"	0.0751607
"one third"	0.0742674
"three percent"	0.0738912
"two percent"	0.0738399
one-fifth	0.0737675
bpd	0.0735717
"about five"	0.0734664
"more than @@@@"	0.0734315
"one billion"	0.0724441
"turning away"	0.0719035
"about @.@ billion"	0.0713715
dozen	0.0711853
"about one-third"	0.0710888
"more than @ billion"	0.070922
expatriate	0.07036
slain	0.070292
Fifty	0.0701603
many	0.0700566
"how many"	0.0700434
"More than two"	0.0699844
"More than one-third"	0.0698463
Thirty-six	0.0695824
"about eight"	0.0694162
"about three"	0.0692165
"about $@@@ million"	0.0689376
"one percent"	0.0688541
"about $@@ million"	0.068563
"more than @"	0.0683155
"about four"	0.0681696
"about $@@ billion"	0.0674502
"about two"	0.0668966
half	0.0665123
"about seven"	0.0664771
eighty	0.066471
"about $@.@ billion"	0.0644843
"nine percent"	0.0637179
sixty	0.063161
Thirty-four	0.063093
"up to six"	0.0623842
"half a dozen"	0.0619659
"up to five"	0.061889
barrel	0.0617822
minority	0.0615822
tonne	0.0613552
"another three"	0.0613055
"Greek Cypriot"	0.0607808
"About @@.@ percent"	0.0607329
"large number"	0.0606379
"eight to @@"	0.0601829
"about @@ billion dollars"	0.060162
"ten percent"	0.0596359
"five to @@"	0.0596205
"up to three"	0.0594846
"over @"	0.0594017
"more than one"	0.0593341
"Eighty percent"	0.059202
"Nearly two"	0.0590873
two-thirds	0.05896
"about $@ million"	0.0576623
"middle class"	0.0575017
))
("about @@,@@@ acres" (desc 1664.1) (sims
"more than @,@@@ acres"	0.396697
"about @@@,@@@ acres"	0.393582
"about @,@@@ acres"	0.376801
"more than @@,@@@ acres"	0.362542
"more than @@@,@@@ acres"	0.334912
"about @@@ acres"	0.281468
"more than @@@,@@@ hectares"	0.258821
"About @@,@@@ hectares"	0.253195
"more than @,@@@ hectares"	0.244641
"more than @@@ hectares"	0.242996
"about @@@,@@@ hectares"	0.239413
"more than @@,@@@ hectares"	0.189638
"million acres"	0.187713
"over @,@@@ hectares"	0.161623
acre	0.13889
hectare	0.116981
swathe	0.112573
"about @@@ tons"	0.106476
acreage	0.103232
felling	0.101247
"one inch"	0.0952025
harvesting	0.0934861
sq.km	0.0909135
"square inch"	0.0908394
ha	0.0886933
"six tons"	0.0862207
"nearly one third"	0.0857103
"two tons"	0.0842137
tract	0.0821589
"about five percent"	0.0812073
Seeds	0.0799566
"about @.@ million tons"	0.0764898
bale	0.0753739
"more than @@@ million tons"	0.074336
"over @,@@@ tons"	0.0716321
"one ton"	0.0697611
"about three-quarters"	0.0694591
"patchwork quilt"	0.0690626
expanse	0.0682373
usurpation	0.0677806
"four tons"	0.0671008
clear-cutting	0.0667617
"roughly one-third"	0.0667569
"nearly two-thirds"	0.0664258
"square mile"	0.0656562
expropriation	0.0655204
"more than @,@@@ pounds"	0.0654429
"five tons"	0.0654297
"coca crop"	0.0652914
bio-diversity	0.0647672
"About @@ per cent"	0.0630617
"piece of cloth"	0.063013
"about @@@,@@@ tons"	0.0624395
"more than @,@@@ tons"	0.0624334
"over @@@,@@@ tons"	0.061805
"about @@ tons"	0.0614402
"more than @@@,@@@ tons"	0.0610379
"about @,@@@ tons"	0.0595356
cultivator	0.0591585
half-inch	0.0587562
"another @@.@ percent"	0.0573613
"two units"	0.0571852
"parcel of land"	0.0568972
"about one-fifth"	0.0567264
"more than @.@ percent"	0.0564811
"more than @@ million tons"	0.0554527
"man's body"	0.0552469
"Twenty percent"	0.0551884
one-fifth	0.0551578
"about @@ million tons"	0.0551022
Tuber	0.0550364
Rai	0.0550246
"two pounds"	0.0550001
"over @@,@@@ tons"	0.0548993
sapling	0.0546391
two-fifths	0.0539163
agave	0.0537675
"Unit @"	0.0533037
km	0.0532443
"three tons"	0.0532441
paddy	0.0532423
"more than @@ tons"	0.0528222
"one kilogram"	0.0528011
kilometre	0.0527644
"square meter"	0.0527458
calorie	0.0524464
"more than @@@ tons"	0.0523849
"oil palm"	0.0516529
"about @@ pounds"	0.0511602
kilo	0.0508388
"sweet corn"	0.0505587
"four million tons"	0.0502034
"minority interest"	0.0498683
"another @.@ percent"	0.0492914
decommissioning	0.0491203
"over @@ million tons"	0.0489877
"five kilograms"	0.048073
poppy	0.0479423
sugarcane	0.047707
"roughly two-thirds"	0.0474724
swatch	0.0474583
mesclun	0.0471039
feddans	0.0466068
"more than @ million tons"	0.0465004
"brush fire"	0.0464399
"manufacturing business"	0.0464359
"about one percent"	0.046356
centimeter	0.0463227
inundation	0.0461421
"Ninety-five percent"	0.0459783
"More than three-quarters"	0.0458015
"opium poppy"	0.0457794
"about @@,@@@ tons"	0.0457414
camellia	0.0455071
"more than one-fifth"	0.0451978
"fraternity house"	0.0451963
husk	0.0449729
haystack	0.0448971
pallet	0.0447743
crematorium	0.0447508
"hot pepper"	0.0446445
Ellipse	0.0444131
"Seventy-five percent"	0.0442439
easements	0.0440272
calory	0.0440096
one-fourth	0.0439911
Kilogram	0.0439306
effigy	0.0438332
heretic	0.0437069
buckwheat	0.0436389
"about one-fourth"	0.0435618
"nearly one-fourth"	0.0434623
mitochondria	0.0432458
HomeGrocer.com	0.0432266
"more than @@@ pounds"	0.043189
cassava	0.0430975
Muzak	0.042901
"gas plant"	0.0427966
"Cactus League"	0.0426585
campsite	0.0425481
hemp	0.0423775
Kinkade	0.042326
"about two percent"	0.0423005
"media property"	0.0422851
"economic value"	0.0421649
"minority stake"	0.0421138
decontamination	0.0420792
"sugar cane"	0.042055
sq.m	0.04188
"bus ticket"	0.0416923
Lexis-Nexis	0.0416152
"Honda Accord"	0.0414158
"More than one-third"	0.0412095
duplex	0.0409213
"dairy farm"	0.0408041
triad	0.0407686
"about two-thirds"	0.0407541
"fossil fuel"	0.040709
outbuilding	0.0404205
))
("About @@,@@@ hectares" (desc 1192.53) (sims
"about @@@,@@@ hectares"	0.526066
"more than @@@,@@@ hectares"	0.502103
"more than @@,@@@ hectares"	0.495006
"more than @,@@@ hectares"	0.45945
"more than @@@ hectares"	0.387738
"over @,@@@ hectares"	0.378982
"more than @@,@@@ acres"	0.307309
"about @,@@@ acres"	0.277698
"about @@@,@@@ acres"	0.257926
"about @@,@@@ acres"	0.253195
"more than @,@@@ acres"	0.251974
"more than @@@,@@@ acres"	0.214033
hectare	0.205231
"about @@@ acres"	0.202262
"million acres"	0.200586
ha	0.190126
sq.km	0.166051
acreage	0.140588
swathe	0.135674
feddans	0.128952
harvesting	0.128736
kilometre	0.126549
acre	0.118924
tract	0.114459
"paddy field"	0.10544
felling	0.0991873
"more than @ million tons"	0.0958873
"square mile"	0.0934737
km	0.09021
"Seventy percent"	0.0890154
"about @@ million tons"	0.0874782
Rai	0.0815645
clear-cutting	0.0790371
"about one quarter"	0.0786826
"over @@,@@@ tons"	0.0778283
"economic value"	0.0764901
"square inch"	0.0763718
checkerboard	0.0759036
shrinkage	0.0714168
expanse	0.0708282
sq.m	0.070617
"million tons"	0.0702328
"square meter"	0.0676521
flatness	0.0668826
"metric ton"	0.0665845
desertification	0.0659199
"patchwork quilt"	0.0656805
"about @@@,@@@ tons"	0.0635949
"over @,@@@ tons"	0.063541
paddy	0.0634246
"one inch"	0.0624674
hippocampus	0.0618037
"about @,@@@ tons"	0.0610435
cortex	0.0595236
reclamation	0.0594757
centimeter	0.0591304
"opium poppy"	0.0589323
"credit system"	0.058875
"Twenty percent"	0.058273
"cultivated land"	0.0578349
"two million tons"	0.0576779
"heart muscle"	0.0567946
"vital organ"	0.0567398
"three schools"	0.0566186
"one fifth"	0.0563594
"about three percent"	0.0562875
"more than @@@,@@@ tons"	0.0561536
depletion	0.0560543
"land area"	0.0555764
"over @@ million tons"	0.055176
usurpation	0.0541957
"oil palm"	0.0533942
"about five percent"	0.0524415
"natural state"	0.0519289
sapling	0.0518005
"coral reef"	0.0515709
"over one third"	0.0513371
bursting	0.0507449
subsidence	0.0505923
"more than @,@@@ kilometers"	0.0501145
poplar	0.0500066
"more than three-fourths"	0.0497289
"more than @,@@@ tons"	0.0497056
"more than @,@@@ pounds"	0.049459
poppy	0.0494058
inundation	0.0489644
"hair follicle"	0.0484541
"nearly one third"	0.0484153
"vegetable garden"	0.0483828
sugarcane	0.0479537
"city block"	0.0478176
"more than @.@ percent"	0.0477002
fumigation	0.0476804
"about two-thirds"	0.0474445
underbrush	0.0472563
one-seventh	0.0472508
"tropical rain forest"	0.0468693
Tuber	0.0459503
"another @.@ percent"	0.0458115
cropland	0.045625
"more than @@,@@@ tons"	0.0453508
"nearly two-thirds"	0.0453344
bio-diversity	0.0453226
harnessing	0.0451594
semicolon	0.0451474
outbuilding	0.0449795
"public property"	0.0447702
mangrove	0.0446662
"landing strip"	0.0446233
siltation	0.0444489
"Old Glory"	0.0437096
"more than one-fifth"	0.0436197
expropriation	0.0435458
"Thirty percent"	0.0434556
"six million tons"	0.0433081
retina	0.0430647
acceptability	0.0430227
"brain stem"	0.0427815
"Ninety-five percent"	0.042721
coca	0.0425578
"about @.@ million tons"	0.0424267
sheaf	0.04223
"catchment area"	0.0415628
"brain cell"	0.0415042
"Nearly three-quarters"	0.0412731
"New Braunfels"	0.0412541
"connective tissue"	0.0412522
"parcel of land"	0.0408946
"Eighty percent"	0.0407784
"about @@ billion yuan"	0.0407143
brightest	0.0406097
follicle	0.0405254
"square foot"	0.0404744
Lei	0.0402241
drying	0.0402067
"six kilometers"	0.0401971
gallstone	0.0401673
"lima bean"	0.0401391
stubble	0.0400978
))
("about @@,@@@ tons" (desc 2886.57) (sims
"over @@,@@@ tons"	0.377147
"over @@@,@@@ tons"	0.363113
"about @@@,@@@ tons"	0.33999
"more than @@@,@@@ tons"	0.325725
"more than @ million tons"	0.295241
"over @,@@@ tons"	0.288006
"million tons"	0.28453
"about @,@@@ tons"	0.280605
"four million tons"	0.278831
"more than @@ million tons"	0.278712
"two million tons"	0.274407
"more than @@,@@@ tons"	0.274126
"five million tons"	0.268054
"more than @,@@@ tons"	0.265738
"about @.@ million tons"	0.263954
"six million tons"	0.261513
"one million tons"	0.251411
"three million tons"	0.245171
"about @@ million tons"	0.24285
"more than @@@ million tons"	0.23676
"more than @@@ tons"	0.231668
"about @@@ tons"	0.225582
"one ton"	0.221453
"over @@ million tons"	0.218145
"about @@ tons"	0.203982
tonne	0.171241
"over @@@ tons"	0.165019
"six tons"	0.141414
ton	0.130341
"more than @@ tons"	0.127817
"two tons"	0.1257
"four tons"	0.124741
"one kilogram"	0.115414
quantity	0.114078
consignment	0.112654
"three tons"	0.112295
"five tons"	0.112263
kg	0.103958
urea	0.0930653
"polyvinyl chloride"	0.086757
bale	0.085942
Mt	0.0845427
"metric ton"	0.0838376
"about @@ pounds"	0.0816144
Kilogram	0.0805563
cu.m	0.0799888
shipload	0.0790254
importer	0.0782372
"five kilograms"	0.0781796
importation	0.0778712
truckload	0.0764774
planeload	0.0762531
"two pounds"	0.0752716
airdrop	0.0724057
bushel	0.0720695
gallon	0.0714417
kgs	0.070428
ICS	0.070088
planeloads	0.069123
kWh	0.0687188
labeling	0.0682847
importing	0.067418
dollars-worth	0.0658455
"About @@ per cent"	0.0645903
"more than @@ billion US dollars"	0.0642361
"four inches"	0.0641414
"about @@@ pounds"	0.0641158
drying	0.063284
ethylene	0.0632713
"more than @,@@@ pounds"	0.0624036
trainload	0.0594824
bpd	0.0593711
"more than @@ inches"	0.0588997
"liquefied petroleum gas"	0.0578079
"food grain"	0.0575531
"about @,@@@ acres"	0.0571329
"more than @@@ hectares"	0.0570579
"aircraft part"	0.0562999
"more than @@@,@@@ hectares"	0.0562846
"caustic soda"	0.0558494
"two sacks"	0.0557445
"cubic meter"	0.0548815
Ingestion	0.0547968
oversupply	0.0539208
"two boxes"	0.0535973
"ten percent"	0.0534883
"one cup"	0.0532495
gram	0.0530983
kilo	0.0522646
maize	0.0520068
"more than @ billion dollars"	0.0516221
"more than @ billion yuan"	0.0515426
"about @@@ million US dollars"	0.0513702
"two bottles"	0.0507397
"more than @@ billion yuan"	0.0504847
"about @@ billion dollars"	0.0501969
"about one third"	0.0501881
"more than @.@ billion US dollars"	0.0500842
"Up to @ inches"	0.0500417
"two bags"	0.0500411
"palm oil"	0.0499187
"consumer goods"	0.0496827
"more than @@@ pounds"	0.0494331
"sea food"	0.0490731
piles	0.0490261
"Eighty percent"	0.0489685
phosphate	0.0488553
hectare	0.0482572
glut	0.0482099
"five billion yuan"	0.0481998
billet	0.0481229
"over @@@ million US dollars"	0.0478958
"rising prices"	0.0478484
"more than @@.@ billion yuan"	0.0477747
"about @@ million dollars"	0.0477545
"over @@ million yuan"	0.0476409
"about two percent"	0.0475506
"more than @@@ million US dollars"	0.0474974
"pig iron"	0.0474748
exportation	0.0473159
"fish fillet"	0.0471337
"more than @@ million dollars"	0.0469653
"nearly @@@ million yuan"	0.0468757
extraction	0.0468469
Four-fifths	0.046686
"More than one-third"	0.0466411
polyethylene	0.0466183
liter	0.0464295
"more than @@@ billion yuan"	0.046318
harvesting	0.0460984
"soybean oil"	0.0459089
one-seventh	0.0457433
"about @@,@@@ acres"	0.0457414
"roughly one-third"	0.0456386
"cashew nut"	0.0456223
unloading	0.0455983
ingot	0.0455682
"barrels per day"	0.0454159
"more than @@ million US dollars"	0.0452328
"more than @@@ million yuan"	0.0450835
"Fifty-five percent"	0.0450531
"California wine"	0.0443501
"more than @@@,@@@ yuan"	0.0441847
methanol	0.044183
"two million yuan"	0.0441483
"more than one-fifth"	0.044146
scad	0.0439417
wastewater	0.0439178
"almost $@@ billion"	0.0438805
pumping	0.043732
pallet	0.0436548
LNG	0.0435349
"iron ore"	0.0432677
"six percent"	0.0432365
"more than @@,@@@ yuan"	0.0429861
overproduction	0.042805
"waste material"	0.0424918
"first cup"	0.04247
ammonia	0.0423733
Tonnage	0.0421938
"one third"	0.0421849
croaker	0.0420842
gemstone	0.0420182
"up to @"	0.0419453
"paddy field"	0.0418923
"about @ pounds"	0.0417157
"About @ billion"	0.0416308
aluminium	0.0415765
unavailability	0.041565
"coffee bean"	0.0414601
by-product	0.0414228
rations	0.0413145
"dairy product"	0.0411774
"one million US dollars"	0.0408452
"over one-third"	0.0408308
"passenger car"	0.0405893
scraps	0.0404314
"up to @@ inches"	0.0404107
briquette	0.0403372
"fuel oil"	0.0403309
"two percent"	0.040223
"one billion US dollars"	0.0402044
dinar	0.0402004
))
("about @@-@@" (desc 1832.2) (sims
"about @@ to @@"	0.168579
"close to @@"	0.148942
"close to @@@"	0.0900678
"about @"	0.0894073
"less than @@"	0.0755578
"over six"	0.0750765
"up to six"	0.0740946
"four to five"	0.0740346
"five to @@"	0.0713742
"up to @@"	0.0711322
"about six"	0.070911
"about @.@"	0.0689238
"over $@@"	0.0681498
"Less than one"	0.0673777
"almost @ million"	0.0672119
"four to six"	0.0653671
nil	0.0644426
"almost two"	0.0642846
"less than @.@ percent"	0.0635958
"three to four"	0.0635284
"roughly @@"	0.063474
"up to four"	0.0627582
"about eight"	0.0622411
forty	0.0617738
"almost @@"	0.061594
"another @ million"	0.0613975
"about five"	0.0606342
"less than @"	0.0606281
Thirty-three	0.0602995
"less than @@@"	0.0594147
"up to @@@"	0.0588845
"two to three"	0.0586002
"two pitchers"	0.0585059
"less than @@,@@@"	0.0584845
Forty-four	0.057712
"six to eight"	0.0568684
Thirty-one	0.0567137
"vanilla bean"	0.0566845
"about three"	0.0566752
"up to three"	0.0564577
"less than five percent"	0.0559931
"more than six"	0.0559477
"about @@@ to @@@"	0.055072
"over five"	0.0548573
"over @@,@@@"	0.0547418
"less than one percent"	0.0545978
"About @ billion"	0.0545754
"more than five"	0.0540923
Thirty	0.0537584
"about one-tenth"	0.0533336
"More than two"	0.0522061
"Hail Mary"	0.0521379
"almost @@@"	0.0519785
inbounds	0.051734
clunker	0.0513874
"about nine"	0.0511786
"up to @,@@@"	0.0506084
"Nearly two"	0.0505194
"less than five"	0.0501993
"up to @@@,@@@"	0.0501956
"Two hundred"	0.0501946
"nearly three"	0.0499177
"about two percent"	0.0494807
"other seven"	0.0494096
SAA	0.0490277
"Phenix City"	0.048556
"a few hundred dollars"	0.0483165
"nearly four"	0.0481807
"first eight"	0.0477423
"London Marathon"	0.0474306
"up to @.@ percent"	0.047238
"more than four"	0.0471797
"Kosovar Albanian"	0.0471273
"more than @ billion"	0.0470137
"up to five"	0.046949
"more than eight"	0.0468509
his/her	0.0467394
"up to @"	0.0466468
"about @.@ billion"	0.0465804
Forty-five	0.0464117
"other six"	0.0461001
"Three hundred"	0.0460429
one-fifth	0.0456147
"about four"	0.0455188
"another @"	0.0453283
"white person"	0.0451638
"over $@@ million"	0.0451339
Forty-two	0.0448958
"almost @"	0.044713
"more than @"	0.0445562
Thirty-five	0.0445362
"four key"	0.044439
"roughly @@@"	0.0442096
"up to @@,@@@"	0.04384
"first @@@"	0.0438073
"a few thousand dollars"	0.0437569
"close to @,@@@"	0.0435868
"first nine"	0.0432292
"almost @@,@@@"	0.0431553
"more than five times"	0.0429167
"first @@"	0.0427336
"one weekend"	0.0420693
"less than @,@@@"	0.0417523
"five cents"	0.0416851
twenty	0.0415921
"almost @,@@@"	0.0415845
"over @"	0.0413552
"another four"	0.0411342
"over one third"	0.0409654
"up to @ million"	0.040875
pickoff	0.0407483
"another @@@,@@@"	0.0406993
"Another two"	0.0406295
"more than three"	0.0405734
Fourteen	0.0403886
Kosovar	0.0403552
"one million dollars"	0.0401514
))
("about @@.@ million" (desc 1675.58) (sims
"About @.@@ million"	0.36189
"nearly @@ million"	0.359739
"over @@ million"	0.326993
"up to @@ million"	0.319039
"nearly @@@ million"	0.310073
"Four million"	0.30316
"Seven million"	0.292988
"nine million"	0.292205
"about @.@ million"	0.291311
"about @@ million"	0.288689
"more than @@ million"	0.286985
"eight million"	0.281081
"Nearly @.@ million"	0.277198
"five million"	0.275788
"six million"	0.275742
"about @@@ million"	0.272628
"over @.@ million"	0.27135
"about @.@ billion"	0.262913
"More than @.@ million"	0.262532
"more than four million"	0.261376
"Over one million"	0.256288
"about @ million"	0.255979
"over @@@ million"	0.255194
"more than one million"	0.254528
"more than @@@ million"	0.23999
"nearly @ million"	0.237525
"more than @.@@ million"	0.236942
"About three million"	0.236828
"almost @@ million"	0.236521
"up to @ million"	0.230214
"more than @ million"	0.224756
"More than two million"	0.218477
"over @.@@ million"	0.20914
"two million"	0.207923
"About one million"	0.20173
"over @ million"	0.199417
"three million"	0.199349
"Over two million"	0.19236
"About two million"	0.18597
"nearly @@@,@@@"	0.185386
"more than @.@ billion"	0.184403
"over @@@,@@@"	0.181701
"about @@@,@@@"	0.18165
"more than @ billion"	0.181613
"About @ billion"	0.181339
"one billion"	0.176901
"up to @@@,@@@"	0.176305
"One Million"	0.174541
"about @@ billion"	0.173914
"More than three million"	0.173053
"Another @@ million"	0.161514
"more than @@@,@@@"	0.156807
"Three billion"	0.155682
"nearly one million"	0.153273
"almost @@@,@@@"	0.152172
"up to @@,@@@"	0.148402
"nearly @@,@@@"	0.14421
"about @@,@@@"	0.14339
"roughly @@@,@@@"	0.139678
"two billion"	0.13652
"over @@,@@@"	0.126871
"six billion"	0.125087
"another @ million"	0.123174
"almost @ million"	0.123043
"up to @,@@@"	0.120243
"less than @@,@@@"	0.116651
"almost @@,@@@"	0.116598
"more than @@,@@@"	0.115898
Thirty-six	0.115389
"roughly @,@@@"	0.11435
"another @@@,@@@"	0.113472
"About @,@@@"	0.113189
"more than @@ billion"	0.113062
"less than @,@@@"	0.10832
"nearly @,@@@"	0.107915
"about eight"	0.104988
"over @,@@@"	0.104318
"almost @,@@@"	0.104314
Eighteen	0.103849
"Sixty-five percent"	0.098408
"more than six"	0.0941396
"another @.@ million"	0.0941133
"more than seven"	0.0933933
"about four"	0.0923553
"Nearly three-quarters"	0.0910821
"less than @@@"	0.0909866
"about @.@"	0.0906804
"Nearly two"	0.0897513
"almost one-third"	0.0893509
"close to @@,@@@"	0.0888663
"about five"	0.088752
Twenty-three	0.087899
"about three"	0.0877778
Thirty-five	0.0871232
"about six"	0.0870816
"another @@,@@@"	0.0860411
Thirty-nine	0.0857704
Sixteen	0.0855149
"almost @@@"	0.0854416
"Fifty percent"	0.085125
Forty-seven	0.0824427
"up to @@@"	0.0815735
"Twenty percent"	0.0815723
Thirty-three	0.0813368
eighty	0.0804693
Twenty-five	0.0793526
"up to five"	0.0787816
Fifty-five	0.0787211
"another @@@ million"	0.0785457
"up to seven"	0.0771698
"up to six"	0.0770618
twenty-eight	0.0770193
Twelve	0.076532
"Ninety-five percent"	0.0744047
"Two hundred"	0.0742701
"close to @,@@@"	0.074118
"almost two-thirds"	0.0727145
"Sixty percent"	0.072356
"roughly @@,@@@"	0.0717904
"More than two"	0.0716793
"More than nine"	0.0712814
"over @@@"	0.0711676
non-Hispanic	0.0710219
"Seventy-five percent"	0.0707907
twenty-two	0.070242
forty	0.0701463
"more than ten"	0.0701234
"almost one"	0.0696459
Thirteen	0.0696392
"more than eight"	0.0692115
Fifty	0.0681357
"more than three"	0.0673258
Fifteen	0.0673117
"representative sample"	0.0672942
"nearly one third"	0.0668203
"about @.@@"	0.0660215
"nearly one-third"	0.0657839
"Thirty percent"	0.0657088
Thirty-eight	0.0655114
twenty-four	0.065281
"up to @@"	0.0650443
Nineteen	0.0649241
seventy	0.0647217
"random sample"	0.0644742
"More than one-third"	0.0639407
"about two"	0.0639158
"first @@@"	0.0638621
"about @@@ to @@@"	0.0638241
"more than five"	0.0636215
twenty	0.0632975
health-conscious	0.0631977
Thirty	0.063167
"four to six"	0.0629994
"nearly @@@"	0.0626227
"close to @@"	0.0622048
"one hundred"	0.0619444
Eleven	0.061788
Fourteen	0.0617165
"Fifty-five percent"	0.0616183
"Eighty-five percent"	0.0614022
three-fourths	0.0613548
seventeen	0.0612698
"Seventy percent"	0.061078
"more than four"	0.0603617
"six to eight"	0.0600318
"about seven"	0.0595543
one-fifth	0.0594266
Thirty-one	0.0593034
"roughly two-thirds"	0.0592697
twenty-six	0.0590048
Four-fifths	0.0585364
"roughly @@@"	0.057936
Qatari	0.0566459
non-Jewish	0.0565096
"about one-quarter"	0.056501
"Eighty percent"	0.0564887
"more than one-fifth"	0.0564206
"another seven"	0.0558615
"voting age"	0.0555811
"roughly one"	0.0554329
"about nine"	0.0547466
"almost two"	0.0543982
"Ninety percent"	0.0542763
"More than three-quarters"	0.0542285
Petrofina	0.0541472
"more than @@@@"	0.0540999
over-@@	0.054081
"about one-tenth"	0.0537864
Twenty-seven	0.0535867
"two to four"	0.0533458
"Forty percent"	0.0532253
"nearly two-thirds"	0.052894
"about one-third"	0.0527859
southland	0.0526727
"over @@ million tons"	0.0526281
Younger	0.0523249
"Another @,@@@"	0.052236
"less than five"	0.0520846
first-time	0.051532
Skoda	0.0514554
))
("about @@.@ million dollars" (desc 1501.82) (sims
"about @.@ million dollars"	0.479889
"about @@@,@@@ dollars"	0.386742
"about @@ million dollars"	0.30589
"about @.@@ billion dollars"	0.293429
"about @@@ million dollars"	0.273869
"about @@ million US Dollars"	0.272552
"about @ billion dollars"	0.262578
"about @@@ million US dollars"	0.252628
"about @.@ billion US dollars"	0.212879
"about @.@ billion dollars"	0.177256
"about @@ billion dollars"	0.15844
"Over @@@ Million Dollars"	0.122911
"more than @@@ million dollars"	0.119308
"almost $@@ billion"	0.107285
"about @@@ million yuan"	0.106848
"over $@@ billion"	0.0953406
"two million yuan"	0.095334
U.S.dollars	0.0940657
"nearly $@.@ million"	0.091258
"five billion yuan"	0.0908915
"one million US dollars"	0.0901352
"U. S.dollars"	0.0893888
"nearly $@@"	0.0885541
"almost $@@@,@@@"	0.0885275
"six billion yuan"	0.0877992
"more than @ billion yuan"	0.0875705
"about three percent"	0.0871083
"one million dollars"	0.0868958
"over @@@ billion yuan"	0.086589
"more than @.@ billion dollars"	0.0863847
"three million yuan"	0.086382
"about $@.@@ billion"	0.0846756
"another @@ million dollars"	0.0835627
"more than @ billion dollars"	0.0825945
"more than @@ billion dollars"	0.0812126
"one billion dollars"	0.0798058
"one billion US dollars"	0.079744
"more than @.@ billion yuan"	0.0793778
"over @.@ billion yuan"	0.0792517
"almost $@ billion"	0.078762
U.	0.0774986
"more than @.@ billion US dollars"	0.0769198
"more than @@.@ billion yuan"	0.0768143
"more than @@ million US dollars"	0.076108
"more than @@,@@@ yuan"	0.0759999
"million yuan"	0.075718
"over @@@ million US dollars"	0.0753244
"a few thousand dollars"	0.0747788
"nearly @@ billion yuan"	0.0742804
"almost $@@ million"	0.0740907
"nearly @@@ million yuan"	0.0740204
"more than @@ million dollars"	0.0737437
"almost $@@,@@@"	0.0735627
"a few million dollars"	0.0735396
"nearly $@@ billion"	0.0727821
"more than @@@ million yuan"	0.0727726
"one million yuan"	0.0705151
"almost $@ million"	0.0698299
"nearly $@"	0.0696216
"nearly @.@ billion yuan"	0.0690848
"less than @.@ percent"	0.0690407
"small fortune"	0.0689617
"about @@ billion yuan"	0.0687572
"thousand dollars"	0.0682146
"about @@@ million"	0.0681968
"more than @@@,@@@ yuan"	0.0681741
"over @@.@ percent"	0.0657298
"more than @@@ billion yuan"	0.065583
"about $@@.@ billion"	0.0650877
"about one percent"	0.0648545
"almost $@@@ million"	0.064501
"over @@ million yuan"	0.0637577
"about @.@ million tons"	0.0635885
"nearly $@,@@@"	0.0632777
"nearly $@@@,@@@"	0.062972
ECU	0.0627496
"two billion yuan"	0.0616129
"nearly $@@,@@@"	0.0615634
"two billion US dollars"	0.0614053
"about $@ billion"	0.060587
"hundred thousand dollars"	0.0595113
"over $@ billion"	0.0592925
"nearly $@@@ billion"	0.0586927
"over $@@@,@@@"	0.0586344
"more than @@ billion US dollars"	0.0584549
"hundred million dollars"	0.0582176
"a few hundred dollars"	0.0576364
"more than one billion yuan"	0.0574474
"over $@ million"	0.0573962
"over @@@ million yuan"	0.0571428
"over @@ billion yuan"	0.0569574
"over $@@ million"	0.0566074
"about $@.@ million"	0.0561557
"million dollars"	0.0560332
"about $@.@ trillion"	0.0556088
VND	0.0554284
"about $@ million"	0.0550519
"about two percent"	0.0547061
"about $@@ billion"	0.0540287
knighthood	0.0539021
"less than one percent"	0.0536168
"Tanzania Shillings"	0.0532776
"Kenya Shillings"	0.0529237
"billion dollars"	0.0524535
"hundred dollars"	0.0523925
"more than @@ million yuan"	0.0520829
Campas	0.051822
"barrels per day"	0.0516326
"nearly $@ billion"	0.051552
"about $@@@ billion"	0.0515058
"about five percent"	0.0512391
"Uganda Shillings"	0.0508342
"more than @@@ million US dollars"	0.0506929
"ransom money"	0.050624
"subversive activity"	0.0504707
"more than @@ billion yuan"	0.0501421
"three billion yuan"	0.0499851
"billion yuan"	0.0497716
"one billion yuan"	0.0494796
"nearly $@.@ billion"	0.0489378
"trillion dollars"	0.0487929
Zyvox	0.0486675
"over $@@@ million"	0.0485949
"about $@"	0.0483875
"more than @.@ percent"	0.0482852
"About three quarters"	0.0482675
"nearly $@@@ million"	0.0481504
"nearly $@@ million"	0.047967
"about $@@.@@"	0.0477562
pataca	0.0475877
"seven billion yuan"	0.0473067
"five million yuan"	0.0472069
"About @@.@ percent"	0.0469064
"three million tons"	0.0461615
"more than @ billion"	0.0459832
"up to @@.@ percent"	0.0458154
"Operation Desert Storm"	0.0457559
"more than @@@,@@@ tons"	0.0455423
"intellectual property rights"	0.0454583
"two percent"	0.0454562
birr	0.0454341
"more than @@@ million"	0.0453563
self-censorship	0.0452666
"Army Air Corps"	0.0449547
"less than @@,@@@"	0.0448243
"about @.@ billion"	0.0447524
"RM@@@,@@@"	0.0445438
"nine percent"	0.0443994
"over @@ million US dollars"	0.0443304
"another @.@ percent"	0.0442725
"About @@ per cent"	0.0441017
"nearly $@ million"	0.0439718
"about $@.@@ million"	0.0439376
"about $@@.@ million"	0.0439062
"small change"	0.0438773
"nearly one-third"	0.0438747
"a few dollars"	0.0438388
RM@@@	0.043561
"about @@ pounds"	0.0434409
"less than five percent"	0.043328
"three million"	0.0430537
"over $@@,@@@"	0.0429996
metical	0.0429747
"about four percent"	0.0428985
one-seventh	0.042878
"over $@,@@@"	0.0428526
"over $@@@"	0.042677
"over @.@ million"	0.0418635
"ten percent"	0.0418465
"about $@.@ billion"	0.0417602
crore	0.0416177
NZ	0.0415513
"More than @.@ million"	0.0413114
ECUs	0.0407459
"hush money"	0.0405689
"about @@@,@@@ tons"	0.0405521
"two baskets"	0.040476
"Almost three-quarters"	0.0404394
"Willie Horton"	0.0401297
"more than @@ million tons"	0.0400594
B.A	0.0400265
))
("About @@.@ percent" (desc 7597.37) (sims
"about @.@ percent"	0.208484
"about five percent"	0.203155
"More than one third"	0.194862
"about @ percent"	0.192702
"about one-fifth"	0.189226
"About @@ per cent"	0.188802
"about @@ percent"	0.187168
"less than @.@ percent"	0.183092
"about one-third"	0.175357
"about @.@@ percent"	0.17466
"nearly two-thirds"	0.17398
"six percent"	0.170234
"nine percent"	0.168677
"one fifth"	0.167518
"ten percent"	0.166981
"less than one percent"	0.166875
"two percent"	0.1651
"one third"	0.165055
"eight percent"	0.164353
"about one percent"	0.164174
"seven percent"	0.163395
"nearly one-third"	0.163052
"four percent"	0.162573
"More than one-third"	0.16044
one-fifth	0.160259
"almost two-thirds"	0.15897
one-fourth	0.158813
"almost one-third"	0.157723
"More than two-thirds"	0.157553
"Sixty-five percent"	0.157353
"More than three-quarters"	0.157014
"about two percent"	0.157011
"three percent"	0.154285
"more than @.@ percent"	0.153868
"one percent"	0.153494
one-third	0.150473
"five percent"	0.149675
"about two-thirds"	0.146426
"Twenty percent"	0.146238
"about one-fourth"	0.144629
percent	0.144619
"more than one-fourth"	0.143362
"Sixty percent"	0.142221
"about one-quarter"	0.141825
"about three percent"	0.140692
"nearly one third"	0.140602
"less than five percent"	0.139156
"over one third"	0.138544
one-tenth	0.138237
"about one quarter"	0.137902
"one tenth"	0.136906
"about one third"	0.136316
"nearly one-fifth"	0.136056
"one sixth"	0.132968
thirds	0.132503
"Seventy-five percent"	0.130945
"more than one-fifth"	0.129214
"Forty-five percent"	0.127244
"Seventy percent"	0.126816
"about four percent"	0.124909
"roughly one-third"	0.123575
one-seventh	0.122681
"Thirty percent"	0.122681
"nearly one-fourth"	0.122639
"up to @@.@ percent"	0.121774
"Fifty percent"	0.120424
"Eighty percent"	0.120123
"Forty percent"	0.117897
"over one-third"	0.11694
two-fifths	0.116038
"roughly two-thirds"	0.114736
"about three-quarters"	0.114502
two-thirds	0.112014
"over two-thirds"	0.109898
"more than three-fourths"	0.108789
"Nearly three-quarters"	0.108046
Four-fifths	0.106573
"Ninety percent"	0.105614
tenth	0.104881
"about @@@ percent"	0.102431
"less than one-third"	0.102272
percentage	0.101693
fraction	0.101329
"Twenty-five percent"	0.100537
"More than three quarters"	0.0977877
"one quarter"	0.0968897
three-fourths	0.096306
two-third	0.0961923
"about three-fourths"	0.0958611
"about one-tenth"	0.0954184
"representative sample"	0.0946663
"Fifty-five percent"	0.0944996
three-fifths	0.0939515
one-sixth	0.0919378
proportion	0.0914251
"up to @.@ percent"	0.0906172
"Fifteen percent"	0.0881456
"about @@@,@@@"	0.0878844
"more than @@ billion yuan"	0.087209
fifths	0.0864114
one-quarter	0.0860933
bulk	0.0858362
"Almost three-quarters"	0.0847658
"About three quarters"	0.0830071
"about @@ million"	0.0820072
"Eighty-five percent"	0.0817963
"about $@@ billion"	0.0815447
three-quarters	0.0808066
"almost @@"	0.0795538
"about @.@ million"	0.0791393
"about $@ billion"	0.0766806
"More than @.@ million"	0.076662
"about @@@ million dollars"	0.0766481
"three quarters"	0.0758893
"Ninety-five percent"	0.0753702
"about $@.@ billion"	0.0753372
"about @@@ million"	0.0746027
"roughly @@"	0.0733842
"About @,@@@"	0.0727843
"about @ billion dollars"	0.072623
"about $@@@ million"	0.0724341
"percentage point"	0.0717091
"random sample"	0.0703245
one-eighth	0.0700203
"over @@.@ percent"	0.069701
"Over @@@ Million Dollars"	0.0689061
"more than @@@ billion yuan"	0.0684865
"more than @ billion yuan"	0.06789
ratio	0.0673551
"about $@@ million"	0.0670589
year-on-year	0.0668543
"about @@ million dollars"	0.066805
"about @ million"	0.0656038
"another @.@ percent"	0.0637908
"more than @@@,@@@"	0.0634277
"over @@@@"	0.0628551
"less than @"	0.062621
"about $@@@ billion"	0.0619444
"about $@@,@@@"	0.0619294
"about @@@ million US dollars"	0.0613022
"about @@,@@@"	0.0607329
"more than @@@ million dollars"	0.0603344
"more than @@ million"	0.0602976
doubling	0.0600981
"about $@ million"	0.0600239
"close to @@"	0.0600179
"barrels per day"	0.059854
"about @@@"	0.0596646
"more than @@,@@@"	0.0595243
"another third"	0.0592305
"about @@@ points"	0.059218
"absolute majority"	0.0588716
"another @@.@ percent"	0.058729
"growth rate"	0.0585677
U.S.dollars	0.058438
"about @.@ billion dollars"	0.0583016
"two billion yuan"	0.0581711
"nearly @@ points"	0.0580639
"more than @.@ billion US dollars"	0.0577283
"more than @@"	0.0574924
dollars-worth	0.0573689
"more than @ billion dollars"	0.0573081
"nearly $@ billion"	0.0572232
"nearly @@@ points"	0.0567827
"more than @@@ points"	0.0564101
"more than @@ million dollars"	0.056211
"one penny"	0.0554345
"about @@ to @@"	0.0552075
"seven billion yuan"	0.0547426
"more than @@@ million yuan"	0.0543235
"Ninety-nine percent"	0.054059
"more than @@ billion US dollars"	0.0539964
"about @.@ billion US dollars"	0.0535738
"almost @"	0.0534905
"about @@ points"	0.0534085
"won @@.@ percent"	0.0532826
"five billion yuan"	0.0531689
"about $@@@"	0.0529763
bpd	0.0528628
"almost @@@"	0.0526218
"one billion US dollars"	0.0524881
"more than @ million"	0.0519726
"nearly @"	0.0519456
"two billion US dollars"	0.0519197
"one billion yuan"	0.0518962
added-value	0.0516455
"almost $@@ billion"	0.0512586
"more than @"	0.0512106
"rapid growth"	0.0507934
twenty-one	0.0505411
"lower than"	0.0505052
"about @@ million tons"	0.0502476
plurality	0.0500916
"more than @@ points"	0.05006
pittance	0.0500112
nine-tenths	0.0500078
"more than @.@ billion dollars"	0.0497986
"more than @,@@@"	0.0494357
"one share"	0.0489536
"nearly $@.@ billion"	0.0486365
))
("about @@:@@" (desc 1236.6) (sims
"about @:@@"	0.125364
"local time"	0.0972979
a.m.	0.0846759
"Hong Kong International Airport"	0.0796374
mid-day	0.0711806
"Blair House"	0.0698674
"Fort Campbell"	0.0636746
"Lone Star Park"	0.0599736
"Lexington Avenue"	0.0597922
"Hartsfield International Airport"	0.0595667
"Cannes International Film Festival"	0.0590029
"Ben-Gurion Airport"	0.0579107
mid-night	0.0577054
"Dulles International Airport"	0.0570871
"Entebbe International Airport"	0.0559357
"Miami International Airport"	0.0557011
Pocono	0.0556098
Stansted	0.0538763
gunpoint	0.0531005
"Logan International Airport"	0.0529298
Talladega	0.0528374
"Joyce Theater"	0.052511
"First Avenue"	0.0522147
"Chek Lap Kok"	0.0510057
"about @.@@"	0.0504397
"Dorothy Chandler Pavilion"	0.0496166
"Pikes Peak"	0.0495951
"traffic circle"	0.0495866
sundown	0.0494606
"Wedgwood Baptist Church"	0.0487655
"Motor Speedway"	0.046744
"John F. Kennedy International Airport"	0.0465869
"railroad station"	0.0462408
"Heritage High School"	0.0457231
"bus terminal"	0.0455999
"Charles de Gaulle"	0.0447484
"Buick Invitational"	0.0444284
"Heathrow Airport"	0.044086
"New Hampshire International Speedway"	0.0437223
"Windsor Castle"	0.0434122
dusk	0.04334
cecil	0.0430985
"toll plaza"	0.0420629
"County Stadium"	0.0414626
"camp site"	0.0413755
"Woods Hole"	0.041352
"Newark International Airport"	0.0406675
midyear	0.0403567
"Continental Airlines Arena"	0.0403216
))
("about @@@" (desc 48139.2) (sims
"About @,@@@"	0.35227
"more than @,@@@"	0.313829
"more than @@@"	0.301738
"more than @@,@@@"	0.290244
"about @@,@@@"	0.287874
"about @@"	0.279787
"nearly @,@@@"	0.254429
"over @@@"	0.254289
"nearly @@@"	0.251624
"more than @@@,@@@"	0.247324
"about @@@,@@@"	0.244614
"over @,@@@"	0.242021
"over @@,@@@"	0.228622
"nearly @@,@@@"	0.22472
"more than @@"	0.203939
"over @@@,@@@"	0.202515
"nearly @@@,@@@"	0.196321
"up to @,@@@"	0.190399
"up to @@@"	0.186098
"up to @@,@@@"	0.185276
"about @.@ million"	0.173807
"almost @@@"	0.173662
"more than @ million"	0.17365
"about @ million"	0.169279
"almost @,@@@"	0.165258
"One Million"	0.158929
"more than one million"	0.158742
"more than @@ million"	0.158648
"about @@ million"	0.157654
"More than @.@ million"	0.157289
"nearly @ million"	0.157168
"Another @@@"	0.153864
"almost @@,@@@"	0.152607
"roughly @@@"	0.148588
"Another @,@@@"	0.14704
"over @@"	0.145044
hundred	0.144629
"roughly @,@@@"	0.141563
"less than @@@"	0.141202
"another @@"	0.140685
"two dozen"	0.140502
"two million"	0.140451
"over @.@ million"	0.136984
Six	0.136024
"nearly @@"	0.134662
"less than @,@@@"	0.133249
Fifteen	0.133048
"up to @@"	0.132095
nine	0.131663
Five	0.130157
"almost @@@,@@@"	0.128562
eight	0.127989
seven	0.127394
"nearly @@ million"	0.126561
"up to @@@,@@@"	0.12619
four	0.125485
"less than @@,@@@"	0.125199
"over @@ million"	0.124352
"more than @@@ million"	0.123391
"over @ million"	0.123305
"roughly @@,@@@"	0.122796
"Around @@@"	0.122438
Twelve	0.122336
"three million"	0.121595
Three	0.120141
"Over one million"	0.119096
"About one million"	0.11905
Thirteen	0.117129
thousand	0.116583
"Four million"	0.115906
twenty	0.115553
"another @@,@@@"	0.114552
"a few"	0.11438
"close to @,@@@"	0.114321
"close to @@@"	0.113128
"about @@ to @@"	0.112104
ten	0.111041
Eleven	0.110892
"Nearly @.@ million"	0.110228
"about @@@ million"	0.11003
"roughly @@"	0.108627
"five million"	0.108502
"nearly one million"	0.108388
Sixteen	0.107893
"less than @@"	0.107785
"six million"	0.106352
"another @@@,@@@"	0.106181
two	0.105871
Fourteen	0.105443
Eighteen	0.105353
dozen	0.104746
"other @@@"	0.104391
"More than two million"	0.104064
"Seven million"	0.102747
"about @@ percent"	0.101941
"roughly @@@,@@@"	0.101749
"about two"	0.101006
"about @@@ to @@@"	0.100823
"More than three million"	0.100713
"Two hundred"	0.100694
Thirty	0.099976
"Over two million"	0.098191
"almost @@ million"	0.0979896
Nineteen	0.0968116
forty	0.0944212
"almost @ million"	0.0938103
"about six"	0.0934453
"Other @@"	0.0926242
slain	0.0912767
"eight million"	0.0908622
Thirty-five	0.0907324
"up to @ million"	0.0892345
"almost @@"	0.0888152
"about @ percent"	0.088667
"nearly @@@ million"	0.0885808
"more than @@@@"	0.0883232
"over @@@ million"	0.0881883
"More than two"	0.0871938
Fifty	0.0871779
seventeen	0.0870673
"up to six"	0.0858705
"first @@@"	0.0856217
Thirty-six	0.0850262
"half a dozen"	0.0849181
"about three"	0.0846737
"about eight"	0.0839041
"about five"	0.0834695
"five to @@"	0.0821403
many	0.0807593
"more than one"	0.0798752
million	0.0793673
"about four"	0.0789958
one-third	0.0787524
"another six"	0.0758183
"other two"	0.0751489
"another five"	0.074788
sixty	0.0747738
"up to three"	0.0743888
"Another two"	0.0736676
"another three"	0.0735482
"Nearly two"	0.0729479
"South Korean"	0.0723124
eighty	0.0722086
"about seven"	0.071663
"about @.@ percent"	0.0701701
Kosovar	0.0699983
"large number"	0.0691619
total	0.0686992
"how many"	0.0679358
"eight to @@"	0.0674472
"about @"	0.0669519
"About one"	0.0660449
expatriate	0.0654727
"Sri Lankan"	0.0654648
Chinese	0.0654299
"other seven"	0.0646099
Asian-American	0.0639381
"one third"	0.0637728
"more than @"	0.0634166
"about one-third"	0.06301
"More than one-third"	0.0624202
"Greek Cypriot"	0.0623348
"other five"	0.0619282
French	0.0615366
"one billion"	0.0614472
"more than three"	0.0613707
"South African"	0.0608422
minority	0.0607249
"less than @"	0.0604543
Catholic	0.0599803
employee	0.0598397
"more than five"	0.0598339
"About @@.@ percent"	0.0596646
seventy	0.0596383
handful	0.0595401
Turkish	0.0580941
passenger	0.0580339
volunteer	0.0579939
"six percent"	0.0575802
Muslim	0.0573714
Ukrainian	0.0572797
half	0.0572222
"five percent"	0.0570182
"Puerto Rican"	0.0569609
"about two-thirds"	0.0568432
student	0.0557917
"middle class"	0.0556289
"other three"	0.0555076
"Kosovo Albanian"	0.0554498
Tibetan	0.0553537
"East Timorese"	0.055348
Hutu	0.0551145
"three percent"	0.0549525
two-thirds	0.0547241
several	0.0544985
"eight percent"	0.0544805
"about $@@@ million"	0.0543028
"other four"	0.0541813
Greek	0.0540756
Younger	0.0539341
))
("about @@@ acres" (desc 1207.12) (sims
"more than @,@@@ acres"	0.377685
"about @@@,@@@ acres"	0.335741
"more than @@,@@@ acres"	0.314164
"more than @@@,@@@ acres"	0.307027
"about @,@@@ acres"	0.297758
"about @@,@@@ acres"	0.281468
"million acres"	0.239804
"about @@@,@@@ hectares"	0.234517
"more than @@@,@@@ hectares"	0.22755
"About @@,@@@ hectares"	0.202262
"more than @,@@@ hectares"	0.198832
"more than @@@ hectares"	0.171733
"over @,@@@ hectares"	0.167667
"more than @@,@@@ hectares"	0.156915
acre	0.128605
"square inch"	0.116353
hectare	0.0968198
"square foot"	0.0935143
tract	0.0859345
"square meter"	0.0837798
acreage	0.0811075
sq.km	0.0781181
"parcel of land"	0.0751656
"patchwork quilt"	0.0717708
kilometre	0.0697
felling	0.0683238
"Twenty percent"	0.0682256
"about three-quarters"	0.0669252
"economic value"	0.0640515
"one inch"	0.0607482
"one share"	0.0603984
HomeGrocer.com	0.0603819
"another @.@ percent"	0.0600458
"over one third"	0.0575548
"about one-third"	0.0566982
PRIMESTAR	0.0566333
"Seventy-five percent"	0.0563927
"square mile"	0.0556851
husk	0.0549096
"nearly one third"	0.0546549
upkeep	0.0546535
"another @@.@ percent"	0.0543091
harvesting	0.0540327
"Fifteen percent"	0.0539623
"natural state"	0.0539428
feddans	0.0537394
"controlling interest"	0.0536803
"minority stake"	0.0536639
clear-cutting	0.0535699
"Mobil Corp."	0.0533354
"Nippon Credit"	0.0532261
"over two-thirds"	0.0526232
"more than one-fifth"	0.0525328
expropriation	0.0518227
inundation	0.0515355
"about five percent"	0.0514743
"Warner-Lambert Co."	0.0502696
"Fred Meyer"	0.0502588
"summer house"	0.0501928
Rai	0.0499981
"Airtouch Communications"	0.0499218
"Atlantic Richfield Co."	0.0496659
"minority interest"	0.0495585
totality	0.0492823
"MediaOne Group"	0.0491799
"more than @,@@@ pounds"	0.0490294
"over @,@@@ tons"	0.048719
"two miles"	0.0484189
"Bankers Trust Corp."	0.0481812
centimeter	0.0480261
"about @@ million tons"	0.0479979
militarization	0.0478858
leasing	0.0478736
"Drayton McLane Jr."	0.0477456
"Orange PLC"	0.04756
"nearly two-thirds"	0.0471641
"more than @@@,@@@ tons"	0.0470999
"brush fire"	0.0466768
usurpation	0.0465146
"two bags"	0.0463598
"Tele-Communications Inc."	0.0462511
"city block"	0.0459469
"Four Centuries"	0.0459334
Tables	0.0459109
"patent right"	0.0455947
"piece of land"	0.0454788
"Pacific Lumber"	0.0454711
Beringer	0.0454464
immensity	0.0454332
one-seventh	0.0454299
Snapple	0.0451902
"hundred miles"	0.0448812
"two tons"	0.044744
"South Shore"	0.044713
"about three percent"	0.0445933
six-pack	0.0445166
Petrofina	0.0441113
shredder	0.0440693
"million tons"	0.0439968
"about one-fourth"	0.0437867
"six miles"	0.0436059
"more than @@@ million tons"	0.0436003
"Ameritech Corp."	0.0434189
Seeds	0.0433099
XYLAN	0.0432804
"Bay Networks"	0.0430484
"two units"	0.043022
one-sixth	0.0429748
three-fifths	0.0427961
"savings bond"	0.042749
"about one third"	0.0427451
underbrush	0.0423028
Picassos	0.0422505
"Unit @"	0.0421324
"about @,@@@ tons"	0.0419967
skyboxes	0.0419727
"country house"	0.0415803
"less than five percent"	0.0414254
"more than @ million tons"	0.0413736
"Nippon Credit Bank"	0.041241
WebTV	0.0411706
COLTEC	0.0411425
Chris-Craft	0.0410938
"fraternity house"	0.0410894
"More than two-thirds"	0.0410858
easements	0.0408788
cobblestone	0.0408425
"about @@ tons"	0.0407692
"one ton"	0.0406817
"Lycos Inc."	0.040648
moat	0.0406279
"media property"	0.0404862
"about one quarter"	0.0402864
"Rolls-Royce Motor Cars"	0.0402329
"land area"	0.0401267
whisker	0.0400649
))
("about @@@ kilometers" (desc 12005.6) (sims
"about @@ kilometers"	0.330013
"about @@@ km"	0.327277
"about @@@ miles"	0.287107
"about @,@@@ kilometers"	0.255888
"about @@ miles"	0.248829
"about @@ km"	0.234854
"more than @@@ kilometers"	0.225895
"five kilometers"	0.202506
"about @,@@@ miles"	0.199069
"six miles"	0.198083
"over @@@ kilometers"	0.181057
"about @ miles"	0.180677
"three kilometers"	0.170259
"seven miles"	0.169581
"nine miles"	0.168427
"more than @@@ miles"	0.164271
"Nearly @@@ miles"	0.162982
"about two miles"	0.157679
"about six miles"	0.151883
"five miles"	0.148933
"three miles"	0.14884
"about five miles"	0.148757
"six kilometers"	0.148079
"a few miles"	0.145023
"eight miles"	0.142764
"more than @@ miles"	0.134588
"hundred miles"	0.134466
"about four miles"	0.132299
"two miles"	0.131828
"four miles"	0.131644
"less than @@ miles"	0.130943
"about @@@ meters"	0.129558
"four kilometers"	0.128808
"eight kilometers"	0.124798
"a few kilometers"	0.11867
"about three miles"	0.114357
"more than @,@@@ kilometers"	0.113759
"two kilometers"	0.112633
southeast	0.107909
"one kilometer"	0.10679
"one mile"	0.103897
southwest	0.102613
"more than @,@@@ miles"	0.0920208
"about one kilometer"	0.0906081
Northeast	0.0866989
east	0.0853744
kilometer	0.0833521
"about @@@ yards"	0.0831543
northwest	0.0825525
"half mile"	0.0762111
mile	0.0760194
"a few yards"	0.0687713
"hundred yards"	0.0683523
"about @@ yards"	0.0680902
"a few meters"	0.0679381
"quarter mile"	0.0670288
"about @@ meters"	0.0652461
"two meters"	0.0650504
stronghold	0.0645079
latitude	0.0631532
epicenter	0.0630616
"south southwest"	0.0619631
"up to @@ miles"	0.0609088
atoll	0.0563723
foothill	0.0551797
Drenica	0.0549576
Djakovica	0.0542543
"Pacific Ocean"	0.0536898
"supply route"	0.0532859
"one meter"	0.0520054
"about two hours"	0.0517638
"main road"	0.0512056
longitude	0.0506722
"a few hundred yards"	0.0485087
"about @@ inches"	0.0484266
"east southeast"	0.0476391
Reports	0.0469963
km	0.0451251
"Abu Dis"	0.0450687
"four inches"	0.0448629
"Highway @@@"	0.0446488
Andes	0.0440055
"a few inches"	0.0439419
coastline	0.043926
expressway	0.0434456
township	0.0431562
equator	0.0430585
"about three hours"	0.042708
"New Territories"	0.0423534
"two inches"	0.041969
"Highway @@"	0.0419642
"Agence France Presse"	0.0419439
heartland	0.0417969
Prizren	0.0416966
"five meters"	0.0414302
"three meters"	0.0412773
Nablus	0.041074
"Mojave Desert"	0.0408329
canyon	0.0405486
))
("about @@@ km" (desc 2792.89) (sims
"about @@ km"	0.369824
"about @@@ kilometers"	0.327277
"about @,@@@ kilometers"	0.293074
"more than @@@ kilometers"	0.2917
"nine miles"	0.265285
"five kilometers"	0.26419
"Nearly @@@ miles"	0.255918
"about six miles"	0.249299
"about @,@@@ miles"	0.246301
"about @@ kilometers"	0.240485
"eight kilometers"	0.238035
"hundred miles"	0.233422
"six kilometers"	0.233395
"about two miles"	0.233204
"over @@@ kilometers"	0.224405
"about @ miles"	0.222563
"three kilometers"	0.220079
"eight miles"	0.214548
"less than @@ miles"	0.204038
"about five miles"	0.202197
"about @@@ miles"	0.196896
"four kilometers"	0.196452
"seven miles"	0.195406
"six miles"	0.190799
"about four miles"	0.189122
"five miles"	0.184275
"about @@ miles"	0.179554
"a few kilometers"	0.1753
"more than @@ miles"	0.168757
"more than @@@ miles"	0.16836
"four miles"	0.167468
"a few miles"	0.153328
"about three miles"	0.151569
"one mile"	0.14972
"three miles"	0.148866
"two miles"	0.148028
"one kilometer"	0.137156
"more than @,@@@ miles"	0.118082
"about @@@ meters"	0.117508
"about one kilometer"	0.0918812
Drenica	0.0881751
"two kilometers"	0.0874639
"about two hours"	0.0861369
"a few meters"	0.0823669
"about @@@ yards"	0.0793573
"half mile"	0.0787009
"quarter mile"	0.0780039
"about three hours"	0.0761597
frontlines	0.0753291
kilometer	0.074642
"hundred yards"	0.0733252
"a few yards"	0.0732939
foothill	0.0683761
Lightyear	0.0681415
councilwoman	0.0635614
"about @@ yards"	0.0624003
epicenter	0.0610241
"Antelope Valley"	0.0603454
"New Territories"	0.0595833
atoll	0.0575299
"Westlake Village"	0.0567897
"about @@ meters"	0.0555914
"Thousand Oaks"	0.0555069
equator	0.0551045
"Potomac River"	0.0549306
landfall	0.0543658
"main road"	0.0538108
"Highway @@"	0.0528765
"Agence France Presse"	0.052747
"state highway"	0.0527141
"Hill Country"	0.0514925
"Ohio River"	0.0513947
"Mojave Desert"	0.0509758
"Highway @@@"	0.0501691
"coastal plain"	0.049612
"about @@ degrees"	0.0493877
Djakovica	0.049311
"a few hundred yards"	0.0484787
"four inches"	0.0477397
"Ventura County"	0.0471275
downriver	0.0469936
Stansted	0.0461337
"ranch house"	0.0452713
"domestic flight"	0.0451811
"Williamson County"	0.044735
"low pressure"	0.0445644
"Madison County"	0.0434711
turnpike	0.0432599
"Interstate @"	0.0430271
"two meters"	0.0428209
"Sea of Japan"	0.0426368
"Route @"	0.0422624
"more than @,@@@ kilometers"	0.0421688
"oil pipeline"	0.041743
"Delaware River"	0.0417108
sms/gm	0.0415698
"Shiite Muslim"	0.041365
"steel mill"	0.0411663
"high pressure"	0.0410742
"one meter"	0.0410647
"jet stream"	0.0409599
"Missouri River"	0.0409205
I-@@@	0.040723
"Lake Ontario"	0.0407141
"Hail Mary"	0.040591
"supply route"	0.0400545
"six inches"	0.040018
))
("about @@@ meters" (desc 5866.09) (sims
"about @@ meters"	0.251094
"two kilometers"	0.214578
"about @@@ yards"	0.203855
"a few meters"	0.193836
"four kilometers"	0.192752
"about two miles"	0.187885
"two miles"	0.177584
"two meters"	0.17681
"five meters"	0.171685
"three miles"	0.169545
"five kilometers"	0.169199
"three kilometers"	0.156926
"about @@ kilometers"	0.153848
"one kilometer"	0.152189
"four miles"	0.151389
"about five miles"	0.151137
"seven miles"	0.150945
"about @@ miles"	0.150254
"six miles"	0.150101
"a few yards"	0.148975
"eight miles"	0.147016
"about @@ yards"	0.146602
"about @@ km"	0.146192
"a few miles"	0.145222
"about three miles"	0.140297
"about six miles"	0.138913
"nine miles"	0.138826
"one meter"	0.137257
"about @,@@@ kilometers"	0.136996
"hundred yards"	0.136351
"about @@@ miles"	0.136246
"a few kilometers"	0.134689
"about @ miles"	0.13098
"eight kilometers"	0.130376
"about @@@ kilometers"	0.129558
"about four miles"	0.127821
"more than @@@ miles"	0.123946
"half mile"	0.123715
"a few hundred yards"	0.122934
"six kilometers"	0.122756
"about one kilometer"	0.120387
"hundred miles"	0.120369
"about @@@ km"	0.117508
"more than @@ miles"	0.1167
"more than @@@ kilometers"	0.111475
"three meters"	0.108889
"five miles"	0.108803
"Nearly @@@ miles"	0.106047
"quarter mile"	0.0980886
"about @,@@@ miles"	0.094575
"one mile"	0.0945176
meter	0.0894915
mile	0.0894396
"more than @,@@@ miles"	0.0851961
"a few inches"	0.084234
"two inches"	0.0825318
kilometer	0.0793127
"about @@ inches"	0.0786379
"over @@@ kilometers"	0.0723415
"less than @@ miles"	0.0703052
"about @@@ points"	0.0687343
"six inches"	0.0671367
"four inches"	0.0656573
"over @@@ meters"	0.0641112
"more than @,@@@ kilometers"	0.0634385
"about @ inches"	0.0625782
"three inches"	0.0597889
"about @@ degrees"	0.0555401
"over @,@@@ meters"	0.0544676
"about @@ minutes"	0.0544566
nonwhites	0.0541548
"a few points"	0.0532874
frontlines	0.0532779
"nearly @@@ points"	0.0525352
"about two hours"	0.0520316
Lightyear	0.0509483
fallow	0.0501338
longer	0.0496691
"up to @@ miles"	0.0492298
"access road"	0.0471347
"one second"	0.045752
jut	0.0451262
"two cents"	0.0448201
"pirate ship"	0.0447
"five points"	0.0426271
"Airbus @@@"	0.0418326
"one cent"	0.0414241
"more than @@@ points"	0.0412169
"Rio Grande"	0.0410232
"two points"	0.0403566
"about three hours"	0.0403087
"about @@ points"	0.0401908
"Robert Jarni"	0.0401565
"three cents"	0.0400849
))
("about @@@ miles" (desc 14932.5) (sims
"about @@ miles"	0.292629
"about @@@ kilometers"	0.287107
"about @,@@@ miles"	0.243306
"six miles"	0.236386
"about @@ kilometers"	0.235146
"more than @@@ miles"	0.22701
"seven miles"	0.20647
"about @,@@@ kilometers"	0.204672
"about @@@ km"	0.196896
"five miles"	0.195878
"three miles"	0.191315
"nine miles"	0.187735
"about @@ km"	0.182107
"about @ miles"	0.181951
"five kilometers"	0.180186
"three kilometers"	0.172603
"more than @@@ kilometers"	0.171329
"two miles"	0.170503
"more than @@ miles"	0.170137
"four miles"	0.170008
"eight miles"	0.166362
"hundred miles"	0.163013
"a few miles"	0.161701
"about five miles"	0.157514
"about two miles"	0.151665
"Nearly @@@ miles"	0.140817
"about six miles"	0.13646
"about @@@ meters"	0.136246
"one kilometer"	0.13464
"less than @@ miles"	0.132193
"more than @,@@@ miles"	0.12804
"eight kilometers"	0.127569
"over @@@ kilometers"	0.125754
"four kilometers"	0.124647
"about three miles"	0.116437
"one mile"	0.115471
"about four miles"	0.11295
"two kilometers"	0.111093
"about @@@ yards"	0.110399
"a few kilometers"	0.108432
"six kilometers"	0.105311
mile	0.104529
"about @@ meters"	0.103176
"up to @@ miles"	0.0947617
"east southeast"	0.0899034
"a few meters"	0.0859261
"hundred yards"	0.0832539
"half mile"	0.0826235
kilometer	0.0817166
"east northeast"	0.07988
"a few yards"	0.0788347
"about one kilometer"	0.0701682
southeast	0.0699864
"quarter mile"	0.0698421
"south southwest"	0.069361
southwest	0.0688362
"more than @,@@@ kilometers"	0.0687774
"west southwest"	0.0660196
"about @@ yards"	0.0646885
"a few hundred yards"	0.0640943
northwest	0.0608321
"Pacific Ocean"	0.06051
"about two hours"	0.0573121
Northeast	0.0566182
latitude	0.0565105
"four inches"	0.0533254
"two inches"	0.0524113
"about @@ inches"	0.0519844
foothill	0.0513756
Drenica	0.0512055
"one meter"	0.0503838
"six inches"	0.049505
"telephone interview"	0.0492344
"about @@ minutes"	0.0487122
"Potomac River"	0.048418
I-@@	0.0479304
"Highway @@@"	0.0471949
Andes	0.047057
Atlantic	0.0462881
"Highway @@"	0.0461836
"about three hours"	0.0455182
"a few inches"	0.044055
atoll	0.0439555
"west northwest"	0.0437263
"Mojave Desert"	0.0433817
seabed	0.0430878
foothills	0.0430754
"Route @"	0.0426958
"Indian Ocean"	0.0423271
coastline	0.0403035
meter	0.0402131
))
("about @@@ million" (desc 5411.56) (sims
"over @@@ million"	0.315856
"more than @@@ million"	0.30229
"about @.@ billion"	0.291191
"about @@ million"	0.286462
"about @@.@ million"	0.272628
"About @ billion"	0.268991
"nearly @@@ million"	0.267439
"nearly @@ million"	0.267
"more than @@ million"	0.258408
"over @@ million"	0.250085
"about @.@ million"	0.238511
"about @@ billion"	0.236744
"eight million"	0.227073
"up to @@ million"	0.224691
"three million"	0.222115
"over @.@ million"	0.221095
"One Million"	0.218344
"Four million"	0.2142
"one billion"	0.212642
"more than @.@ billion"	0.21132
"nine million"	0.210775
"two million"	0.210617
"about @ million"	0.207627
"six million"	0.201686
"About @.@@ million"	0.201084
"more than @@ billion"	0.196014
"five million"	0.19409
"More than @.@ million"	0.189826
"Three billion"	0.188514
"two billion"	0.183977
"Seven million"	0.180037
"Over one million"	0.177322
"over @@,@@@"	0.171266
"more than @ billion"	0.170262
"more than @ million"	0.168104
"about @@@,@@@"	0.166509
"over @@@,@@@"	0.166159
"more than four million"	0.162153
"Another @@ million"	0.161561
"Nearly @.@ million"	0.160432
"more than one million"	0.160209
"about @@,@@@"	0.159652
"over @.@@ million"	0.159569
"almost @@ million"	0.158911
"more than @@@,@@@"	0.155898
"More than three million"	0.155767
"nearly @@@,@@@"	0.154079
"over @ million"	0.15306
"More than two million"	0.147354
"About one million"	0.146491
"six billion"	0.144925
"another @@@ million"	0.144154
"nearly @ million"	0.141112
"less than @@,@@@"	0.139524
"about @.@"	0.138408
"over @,@@@"	0.137429
"less than @,@@@"	0.134997
"more than @.@@ million"	0.132618
"more than @@,@@@"	0.131797
"About @,@@@"	0.130707
"another @ million"	0.129583
"About two million"	0.128013
"up to @@@,@@@"	0.125953
"up to @ million"	0.122602
"nearly @@,@@@"	0.119221
"another @@@,@@@"	0.118197
"nearly @,@@@"	0.116966
"About three million"	0.112796
"Over two million"	0.11153
"almost @@@,@@@"	0.11011
"about @@@"	0.11003
"more than @,@@@"	0.109578
"another @.@ million"	0.10893
"nearly one million"	0.107816
"almost @@,@@@"	0.104751
"up to @,@@@"	0.0997497
"about @@ billion dollars"	0.0994728
"more than @@@ billion yuan"	0.0991292
"roughly @@@,@@@"	0.0990786
"over @@@"	0.0959962
"less than @@@"	0.0951833
"up to @@,@@@"	0.0936456
"up to @@"	0.0928103
"about @@@ million dollars"	0.0927642
"more than @@@"	0.0909103
"about @.@ billion dollars"	0.0892866
"two billion yuan"	0.0888085
"less than @@"	0.0879871
"almost @@@"	0.0878255
"almost @ million"	0.0874733
"roughly @,@@@"	0.0856308
"almost @,@@@"	0.0852992
"about @@@ million US dollars"	0.0851881
"nearly @@@"	0.0849228
"about @@"	0.0845048
"about @.@@"	0.0831291
"up to @@@"	0.0821268
"about $@@.@ billion"	0.0818663
"over @@"	0.0810193
"more than @@"	0.0794934
"nearly @@"	0.0791641
"about @.@ billion US dollars"	0.0787946
"about @ percent"	0.0753868
"About @@.@ percent"	0.0746027
"about one-tenth"	0.0745497
"about @.@ percent"	0.0744806
"more than @@@ million yuan"	0.0740149
"more than @@ million dollars"	0.0734357
"another @@,@@@"	0.0724352
"about $@@ billion"	0.0721091
"more than @@ billion dollars"	0.071323
"about @"	0.0710112
"five billion yuan"	0.070962
"about @.@@ billion dollars"	0.0706725
"roughly @@,@@@"	0.0704496
"nearly $@@"	0.0702732
"almost @@"	0.0699689
"nearly $@@@ million"	0.0695345
"one billion dollars"	0.0694342
"about four"	0.0693391
"about $@.@ billion"	0.0689918
"about @@.@ million dollars"	0.0681968
"about $@@@ million"	0.0679241
"about $@ billion"	0.0678256
"one billion yuan"	0.0674652
"about eight"	0.0670514
"six billion yuan"	0.0666517
"one tenth"	0.0663884
"Another @@@"	0.0662508
"over @.@ billion yuan"	0.0661893
"about @@ million dollars"	0.0660959
bpd	0.0659759
crore	0.065558
"Another @,@@@"	0.0654653
"about @.@ million dollars"	0.0653481
"about @@ to @@"	0.0653057
"more than @ billion dollars"	0.0651923
"one million yuan"	0.0650896
"about $@ million"	0.0650538
Thirty-three	0.0648232
"About @@ per cent"	0.0639697
"more than @@ billion yuan"	0.0636801
"one million US dollars"	0.063474
"one billion US dollars"	0.0634126
"over $@ billion"	0.0633506
health-conscious	0.0630519
"four billion yuan"	0.0623309
"nearly $@@ billion"	0.0620862
"about $@@@ billion"	0.0617683
billion	0.0616203
"more than @@@ million dollars"	0.0615509
"less than five percent"	0.0609965
"two billion US dollars"	0.0608302
"more than one-fifth"	0.0603726
"about @ billion dollars"	0.0600035
"Over @@@ Million Dollars"	0.0592977
"other @@@"	0.0592857
"roughly @@"	0.0592522
"four percent"	0.0588265
"nearly $@.@ billion"	0.0587951
Eighteen	0.0587557
"over $@@@ million"	0.0586633
U.S.dollars	0.0586597
Thirty-six	0.0582025
one-fifth	0.0581181
euros	0.0577521
"about @@ billion yuan"	0.0574077
"about five"	0.0573945
"almost $@@@ million"	0.0573384
"more than @.@ billion US dollars"	0.0567633
ECU	0.0566596
one-third	0.056654
"more than one billion yuan"	0.0562263
"over @@@ million yuan"	0.0561134
"about one percent"	0.0561048
Thirty-nine	0.0560885
"more than @@ billion US dollars"	0.0560054
"two percent"	0.0558778
"one sixth"	0.0557505
"more than @"	0.0557388
"about $@.@@ billion"	0.0555484
"nine percent"	0.0550359
Twelve	0.0549963
"Around @@"	0.0549343
"three billion yuan"	0.0549085
"close to @@@"	0.0548925
"over @"	0.0548253
"nearly $@ billion"	0.0547344
"more than @@@ million US dollars"	0.0544996
"Nearly two"	0.0544559
"about $@@ million"	0.0543535
"less than @"	0.0542928
"eight percent"	0.0541341
"more than three"	0.054106
"more than five"	0.0540377
"more than @@.@ billion yuan"	0.0540227
"about @.@ million tons"	0.053831
birr	0.0537882
"about $@@,@@@"	0.0535344
"more than @@@,@@@ yuan"	0.0534991
))
("about @@@ million dollars" (desc 7110.52) (sims
"about @@ million dollars"	0.409359
"about @.@ billion dollars"	0.354381
"about @@.@ million dollars"	0.273869
"about @@@ million US dollars"	0.271644
"about @.@@ billion dollars"	0.260628
"about @.@ million dollars"	0.25025
"about @ billion dollars"	0.244213
"about @@ million US Dollars"	0.234427
"about @.@ billion US dollars"	0.231011
"more than @@@ million dollars"	0.228403
"over @@@ million US dollars"	0.221987
"about @@@,@@@ dollars"	0.204996
"more than @@@ billion yuan"	0.204385
"one billion US dollars"	0.198362
"about @@ billion dollars"	0.198001
"more than @@@ million US dollars"	0.19737
"more than @.@ billion dollars"	0.196686
"more than @@ million US dollars"	0.195918
"about @@@ million yuan"	0.189548
"over @@@ million yuan"	0.188622
"one billion yuan"	0.188327
"more than @@@ million yuan"	0.187131
"over @@ million US dollars"	0.184504
"more than @@ million dollars"	0.184209
"more than @.@ billion yuan"	0.182142
"two billion US dollars"	0.180579
"more than @ billion dollars"	0.178673
"two billion yuan"	0.176942
"more than @.@ billion US dollars"	0.175725
"more than @@ billion dollars"	0.175053
"five billion yuan"	0.173425
"more than @@ million yuan"	0.173055
U.S.dollars	0.171598
"about $@@@ million"	0.171431
"about $@@ billion"	0.171217
"Over @@@ Million Dollars"	0.16975
"about $@.@ billion"	0.169618
"about $@ billion"	0.166157
"one billion dollars"	0.162395
"more than @@ billion yuan"	0.161768
"six billion yuan"	0.161336
"three billion yuan"	0.161205
"U.S. Dollars"	0.161133
"nearly @@ billion yuan"	0.160249
"nearly @@@ million yuan"	0.160163
"more than @@@,@@@ yuan"	0.158629
"one million US dollars"	0.157477
"four billion yuan"	0.157274
"nearly $@@ billion"	0.155887
"two million yuan"	0.152335
"one million yuan"	0.152286
"about $@@ million"	0.151277
"about $@@,@@@"	0.148917
"about $@.@ million"	0.14698
"about $@ million"	0.146061
"nearly $@@@ million"	0.145741
"about $@@@,@@@"	0.145188
"three million yuan"	0.143577
"nearly $@ billion"	0.141694
"seven billion yuan"	0.140521
"more than one billion yuan"	0.139902
"over @@ billion yuan"	0.13838
"over @@ million yuan"	0.137843
"nearly @.@ billion yuan"	0.137752
"billion dollars"	0.134916
"five million yuan"	0.134878
"almost $@@@ million"	0.133643
"almost $@@,@@@"	0.132623
"about $@@@ billion"	0.131777
"thousand dollars"	0.131712
"million yuan"	0.131703
"almost $@@ million"	0.129185
"about $@@.@ billion"	0.127789
ECUs	0.127548
"nearly $@ million"	0.12745
"billion yuan"	0.12696
"more than @ billion yuan"	0.126865
"over @.@ billion yuan"	0.126233
"more than @@.@ billion yuan"	0.124871
"over @@@ billion yuan"	0.124588
"over $@@@ million"	0.124188
"nearly $@@ million"	0.12366
"nearly $@.@ million"	0.121039
birr	0.120662
billion	0.120265
pataca	0.120166
"about $@.@@ billion"	0.11953
ECU	0.118927
"over $@ billion"	0.118475
"about $@@.@ million"	0.118439
"million dollars"	0.117479
"one million dollars"	0.116638
"almost $@ million"	0.116114
"more than @@ billion US dollars"	0.11581
"about $@,@@@"	0.112689
"about $@"	0.111034
"about $@@@"	0.110706
"hundred million dollars"	0.109488
"another @@ million dollars"	0.108104
"a few million dollars"	0.106561
"about @@ billion yuan"	0.103981
"Zimbabwe Dollars"	0.103347
"about one-tenth"	0.103309
"about $@@"	0.102436
euros	0.101068
"hundred thousand dollars"	0.100533
"almost $@ billion"	0.10018
"about @.@ percent"	0.100028
crore	0.0982736
"nearly $@@@,@@@"	0.0976746
"nearly $@.@ billion"	0.0975563
"almost $@@@,@@@"	0.0974841
"nearly $@@@ billion"	0.0960558
"hundred dollars"	0.0958465
"almost $@@ billion"	0.0945658
"nearly $@@"	0.0945423
"six percent"	0.0942841
ringgit	0.0931673
"about @@@ million"	0.0927642
"nearly $@@,@@@"	0.0926012
"nine percent"	0.0923313
"over $@ million"	0.0906489
"over $@@ million"	0.0888948
RM@@@	0.0875792
shekel	0.0875286
"about @ percent"	0.0869222
"about $@.@@"	0.086628
"two percent"	0.0847125
"nearly $@,@@@"	0.0829288
"less than @.@ percent"	0.0819937
"about one percent"	0.0816484
sum	0.0807383
dlrs	0.0791216
"RM@@,@@@"	0.0784562
"a few hundred dollars"	0.0784469
bpd	0.0780554
"about $@@.@@"	0.0780032
"currency unit"	0.077453
"About @@.@ percent"	0.0766481
"five percent"	0.0752342
"about @@ million"	0.0749421
"one tenth"	0.0749044
tonne	0.0741092
"a few thousand dollars"	0.0739376
"eight percent"	0.0735533
"seven percent"	0.0732875
"RM@@@,@@@"	0.0730066
"more than @.@ percent"	0.0723811
"more than @@,@@@ yuan"	0.0723742
"one third"	0.0718858
"nearly $@"	0.0716694
"about $@.@ trillion"	0.0709336
"four percent"	0.0704137
"one percent"	0.0703501
"three percent"	0.0702716
dollars-worth	0.0700353
"amount of money"	0.0693928
"RM@,@@@"	0.0693326
"about @@@,@@@ tons"	0.0689899
"over $@@@,@@@"	0.0672013
one-tenth	0.066143
"about $@.@@ million"	0.066075
one-seventh	0.0653583
"one billion"	0.0646398
"About @@ per cent"	0.0642416
one-third	0.0640459
"a few dollars"	0.0637192
"Tanzania Shillings"	0.06165
kWh	0.0616135
ruble	0.0616068
ton	0.0615458
kg	0.0614078
"about @.@ billion"	0.0613273
"over $@@ billion"	0.0612353
"nearly one-fifth"	0.060547
"less than one percent"	0.0599856
tranche	0.0597742
"over $@@"	0.0595742
"Deutsche Mark"	0.0595675
penny	0.0595025
one-fifth	0.0594146
"more than @@@,@@@ tons"	0.0592448
"one million tons"	0.0590231
"over $@@,@@@"	0.0588346
"three million"	0.058745
"about three percent"	0.0586481
knighthood	0.0577632
"U. S.dollars"	0.0576688
"over @@@,@@@ tons"	0.0567112
"about @@@ percent"	0.0566285
"about one-third"	0.056423
bale	0.0563325
"three million tons"	0.056128
korun	0.0558929
"up to @@.@ percent"	0.0555468
"More than one third"	0.0555032
"about one-fifth"	0.0554254
"two million tons"	0.0553602
"about five percent"	0.0550797
"one dollar"	0.0547717
))
("about @@@ million US dollars" (desc 2210.24) (sims
"about @@ million US Dollars"	0.375742
"about @.@ billion US dollars"	0.37157
"about @@ million dollars"	0.309726
"over @@ million US dollars"	0.29651
"about @.@ million dollars"	0.293002
"more than @@ million US dollars"	0.276913
"about @@@ million dollars"	0.271644
"more than @.@ billion US dollars"	0.268776
"about @.@@ billion dollars"	0.260917
"over @@@ million US dollars"	0.258666
"more than @@@ million US dollars"	0.256653
"about @@.@ million dollars"	0.252628
"more than @@ million dollars"	0.246724
"more than @@ billion US dollars"	0.230404
"nearly @@@ million yuan"	0.229276
"over @@ billion yuan"	0.228639
"seven billion yuan"	0.228586
"about @@@ million yuan"	0.227799
"more than @@@ million dollars"	0.225548
"more than @ billion yuan"	0.223457
"over @.@ billion yuan"	0.221143
"nearly @.@ billion yuan"	0.219139
"more than @.@ billion yuan"	0.218242
"over @@@ million yuan"	0.217522
"over @@@ billion yuan"	0.212229
"more than @@ billion dollars"	0.212151
"about @@@,@@@ dollars"	0.211819
"six billion yuan"	0.207469
"five billion yuan"	0.206845
"more than @@@ million yuan"	0.20679
"two billion yuan"	0.203762
"two billion US dollars"	0.200929
"one billion US dollars"	0.194592
"nearly @@ billion yuan"	0.192823
"more than @ billion dollars"	0.190678
"four billion yuan"	0.188622
"three billion yuan"	0.186102
"more than @@@ billion yuan"	0.184499
"one billion yuan"	0.183206
"about @ billion dollars"	0.180435
"million yuan"	0.178807
"about @@ billion dollars"	0.178166
"two million yuan"	0.176803
"about @@ billion yuan"	0.17651
"more than @@ billion yuan"	0.170124
"more than @@ million yuan"	0.169947
"a few million dollars"	0.169389
"about @.@ billion dollars"	0.168358
"over @@ million yuan"	0.16774
"more than @.@ billion dollars"	0.167146
"Over @@@ Million Dollars"	0.16101
"more than one billion yuan"	0.160014
"almost $@@@ million"	0.159791
U.S.dollars	0.159598
"five million yuan"	0.153942
"about $@@.@ billion"	0.151986
"more than @@@,@@@ yuan"	0.149284
"more than @@,@@@ yuan"	0.147028
"three million yuan"	0.144965
"billion yuan"	0.144794
"over $@@@ million"	0.143942
"hundred million dollars"	0.142482
"one million US dollars"	0.139542
"almost $@@,@@@"	0.134551
"more than @@.@ billion yuan"	0.13427
"nearly $@.@ million"	0.131647
"nearly $@@ billion"	0.129646
"one billion dollars"	0.127708
"about $@.@@ billion"	0.126907
"nearly $@@ million"	0.117188
"one million yuan"	0.117185
"about $@@@ billion"	0.117063
"nearly $@ million"	0.116386
"over $@ billion"	0.116371
"almost $@@ million"	0.11435
"about $@ billion"	0.110789
"nearly $@@"	0.110554
"about $@@ billion"	0.108723
"about $@ million"	0.107645
"about $@@@ million"	0.107113
"thousand dollars"	0.106646
"one million dollars"	0.106247
"about $@.@ billion"	0.104519
"nearly $@ billion"	0.104485
"nearly $@.@ billion"	0.104215
"U.S. Dollars"	0.104172
"nearly $@@@ million"	0.103044
"almost $@@@,@@@"	0.10229
"about $@@@,@@@"	0.100621
"about $@@ million"	0.100238
"about $@@.@ million"	0.100139
"nearly $@@@,@@@"	0.0992441
"million dollars"	0.0962704
"hundred thousand dollars"	0.0948466
"billion dollars"	0.094257
ECU	0.0938147
"another @@ million dollars"	0.0935248
"almost $@ billion"	0.0927751
ECUs	0.0909849
"almost $@ million"	0.0908249
"nearly $@@@ billion"	0.0884011
"Tanzania Shillings"	0.0863074
"about $@.@@ million"	0.0861348
birr	0.0855191
"about $@.@ million"	0.0854874
"about @@@ million"	0.0851881
"over $@@@,@@@"	0.0841246
"over $@ million"	0.0839009
billion	0.0837788
"about $@@,@@@"	0.0827373
ringgit	0.0808434
"RM@@@,@@@"	0.080797
"about $@.@ trillion"	0.0805485
pataca	0.0802921
"U. S.dollars"	0.0799635
USD	0.0786004
"nearly $@@,@@@"	0.0783876
"nearly $@,@@@"	0.0778686
"about @.@ billion"	0.0774048
"nearly $@"	0.076889
"over $@@@"	0.0760581
"over $@@,@@@"	0.0754054
"about @.@ million tons"	0.0737609
"about $@@@"	0.0733759
"over $@@ million"	0.069876
"about $@@.@@"	0.0694326
"almost $@@ billion"	0.0686223
crore	0.0684332
"small fortune"	0.0682841
"Zimbabwe Dollars"	0.0681825
RM@@@	0.067786
RMB	0.0675526
korun	0.0669069
"about $@,@@@"	0.0667387
"currency unit"	0.0664252
"over $@@ billion"	0.0655364
"trillion dollars"	0.0654944
"Deutsche Mark"	0.0653767
euros	0.0636274
"sum of money"	0.063522
tenge	0.0628467
"about $@@"	0.0628288
"About @@.@ percent"	0.0613022
"about $@"	0.0607228
"amount of money"	0.060027
shekel	0.0598306
"six billion"	0.0591182
"Uganda Shillings"	0.0590938
metical	0.058635
"one billion"	0.058088
"RM@,@@@"	0.0579882
"up to @@.@ percent"	0.0578788
"over @@@,@@@ tons"	0.0570834
"a few thousand dollars"	0.056963
"hundred dollars"	0.0559199
"more than @.@ percent"	0.0552855
"over @@,@@@ tons"	0.0550247
"three million tons"	0.0547597
U.	0.0546992
"about $@.@@"	0.0542914
dinar	0.0540493
"RM@@,@@@"	0.0536946
"more than @ billion"	0.0536852
dollars-worth	0.0536542
T.Shs	0.0524493
"about @.@ million"	0.0523936
"about @.@ percent"	0.0523524
monies	0.0518697
"three pitchers"	0.0515136
yuan	0.0514369
"about @@,@@@ tons"	0.0513702
"million tons"	0.0511948
"nearly @@ million"	0.0507066
"over $@@"	0.0502989
"about @@@,@@@ tons"	0.0502447
"more than @@@,@@@ tons"	0.0498646
"more than @@ million tons"	0.0496686
"over @@@ points"	0.0495463
"one penny"	0.0491301
"tax income"	0.0489776
"over @@ million"	0.0487834
"less than @.@ percent"	0.0487521
hryvnas	0.0487181
VND	0.0485897
"another @.@ percent"	0.0482346
"Exchange Fund"	0.0478111
"rock bottom"	0.0468735
"a few hundred dollars"	0.0467181
"about @@ million"	0.0465373
"About @@ per cent"	0.0464143
"Kenya Shillings"	0.0456872
"foreign direct investment"	0.0456092
"more than @@ million"	0.045353
"over $@,@@@"	0.0451397
"over @@@ million"	0.0450026
"service break"	0.0449147
"more than @ million tons"	0.044315
"about three percent"	0.0442951
"about one-tenth"	0.0438956
"two pitchers"	0.0435398
))
("about @@@ million yuan" (desc 1306.34) (sims
"nearly @@ billion yuan"	0.472789
"nearly @@@ million yuan"	0.458658
"six billion yuan"	0.440704
"about @@ billion yuan"	0.44038
"more than @.@ billion yuan"	0.428056
"more than @@@ million yuan"	0.420726
"over @.@ billion yuan"	0.41358
"four billion yuan"	0.412446
"nearly @.@ billion yuan"	0.400971
"over @@ million yuan"	0.40066
"more than @ billion yuan"	0.396042
"five billion yuan"	0.395931
"over @@ billion yuan"	0.382041
"more than one billion yuan"	0.381242
"five million yuan"	0.378943
"more than @@ million yuan"	0.374198
"over @@@ million yuan"	0.373084
"more than @@@ billion yuan"	0.355637
"three billion yuan"	0.353845
"over @@@ million US dollars"	0.349606
"more than @@@,@@@ yuan"	0.345829
"seven billion yuan"	0.344388
"over @@@ billion yuan"	0.332512
"two million yuan"	0.332213
"more than @@ billion yuan"	0.330993
"billion yuan"	0.325573
"one billion yuan"	0.32366
"two billion yuan"	0.321323
"million yuan"	0.309162
"more than @@.@ billion yuan"	0.298428
"three million yuan"	0.294071
"more than @@@ million US dollars"	0.289396
"more than @@ million US dollars"	0.280511
"more than @.@ billion dollars"	0.27173
"Over @@@ Million Dollars"	0.269907
"more than @.@ billion US dollars"	0.269444
"a few million dollars"	0.258608
"one million yuan"	0.25756
"more than @@ million dollars"	0.257533
"one million US dollars"	0.255302
"more than @@@ million dollars"	0.2517
"more than @@,@@@ yuan"	0.248035
"two billion US dollars"	0.246168
"almost $@@ million"	0.240872
"about @@@ million US dollars"	0.227799
"one billion US dollars"	0.222621
"more than @ billion dollars"	0.222025
"almost $@@@ million"	0.220165
"over @@ million US dollars"	0.217365
"hundred thousand dollars"	0.212669
"hundred million dollars"	0.212156
"about @.@ billion US dollars"	0.210392
"more than @@ billion dollars"	0.204881
"nearly $@.@ million"	0.201477
"nearly $@.@ billion"	0.197484
"about @@ million US Dollars"	0.196216
"about @@@ million dollars"	0.189548
"almost $@ million"	0.187163
"over $@ billion"	0.185918
"one million dollars"	0.182466
"almost $@@,@@@"	0.180827
"almost $@@@,@@@"	0.18036
"nearly $@@@ million"	0.18002
"almost $@@ billion"	0.177582
"one billion dollars"	0.177442
"thousand dollars"	0.175263
"more than @@ billion US dollars"	0.173746
"about @@ million dollars"	0.17349
"nearly $@@@,@@@"	0.171726
"nearly $@ million"	0.167231
"another @@ million dollars"	0.162568
"about $@.@@ billion"	0.162138
"Tanzania Shillings"	0.157474
"a few hundred dollars"	0.15677
"nearly $@@@ billion"	0.154706
"nearly $@@ million"	0.15214
"about @ billion dollars"	0.151964
"over $@@@ million"	0.151373
"billion dollars"	0.15103
"about $@.@ trillion"	0.150284
"about $@@.@ billion"	0.14832
"about $@.@ million"	0.148165
"about @.@ billion dollars"	0.146573
"about $@ billion"	0.146073
"million dollars"	0.145394
"over $@@@,@@@"	0.144007
"Uganda Shillings"	0.143789
korun	0.143614
"nearly $@@"	0.140232
"over $@@ million"	0.140076
"a few thousand dollars"	0.139565
"nearly $@,@@@"	0.137712
"nearly $@@,@@@"	0.137622
"about $@@ million"	0.137486
tenge	0.137377
"about $@@@ million"	0.137203
"about $@ million"	0.136136
"about $@@,@@@"	0.135603
"nearly $@ billion"	0.135583
"about $@.@ billion"	0.133392
"about $@@@ billion"	0.132847
"over $@ million"	0.132763
"about @@ billion dollars"	0.13263
"about $@.@@ million"	0.131925
"RM@@@,@@@"	0.13189
"about $@@@,@@@"	0.131705
"nearly $@@ billion"	0.129174
"over $@@,@@@"	0.127175
"Zimbabwe Dollars"	0.12704
"RM@@,@@@"	0.125994
"sum of money"	0.12451
"hundred dollars"	0.123696
"about $@@.@ million"	0.122267
"about $@@ billion"	0.119486
"almost $@ billion"	0.119448
"over $@@ billion"	0.118771
dinar	0.117817
pataca	0.117699
metical	0.11682
VND	0.116376
"nearly $@"	0.112645
shekel	0.110945
U.S.dollars	0.110021
hryvnas	0.109625
"Kenya Shillings"	0.10748
"about @@.@ million dollars"	0.106848
"about $@,@@@"	0.105547
RM@@@	0.102633
"small fortune"	0.102319
"Deutsche Mark"	0.100764
birr	0.100568
"about @@@,@@@ dollars"	0.0965547
ECU	0.0935239
"about $@"	0.0934386
ECUs	0.0928094
"U.S. Dollars"	0.092576
KUNA	0.0911887
"trillion dollars"	0.0901385
"about $@@@"	0.0900534
"RM@,@@@"	0.0882976
monies	0.0860733
"about @.@@ billion dollars"	0.0858888
"about @.@ million dollars"	0.0851322
RMB	0.0828712
shilling	0.0814156
crore	0.0803779
"currency unit"	0.0788316
"Exchange Fund"	0.078163
euros	0.0778357
Pula	0.0766756
"over $@@@"	0.076389
"two fingers"	0.0762404
one-seventh	0.0757902
trillion	0.075218
"one penny"	0.0746958
kwanza	0.0746652
"amount of money"	0.0744951
"over $@,@@@"	0.07284
"ransom money"	0.0727037
hryvna	0.0719799
T.Shs	0.071621
"interest income"	0.0694134
"more than @ billion"	0.0693815
"more than @@@,@@@ tons"	0.0692197
zillion	0.069038
meticais	0.0689753
"electric current"	0.0689727
"million over five years"	0.0680358
"over $@@"	0.0674326
"about $@.@@"	0.0655159
"about one-tenth"	0.0650559
yuan	0.0642952
forklift	0.0640548
"tax revenue"	0.0639912
Chadwick	0.063394
"a few dollars"	0.0631899
"six billion"	0.0623597
"more than @.@ billion"	0.0623343
sterling	0.0622254
rial	0.0621414
"hospital care"	0.060527
"up to @@ inches"	0.0597038
"more than @@ billion"	0.0590677
franc	0.0587082
"solar power"	0.0585558
"embryonic cell"	0.0585115
dowry	0.0577077
T-cells	0.0567579
"Malaysian Ringgit"	0.0567566
"speeding ticket"	0.0567392
"about @.@ billion"	0.0563465
"legal age"	0.0558761
Dong	0.0558024
"over @@@,@@@ tons"	0.0554415
gob	0.0553552
"subversive activity"	0.0553454
windfall	0.0550864
"about two percent"	0.0548789
mil	0.0547848
"about @@@,@@@ tons"	0.0547576
))
("about @@@ percent" (desc 1677.67) (sims
"less than @.@ percent"	0.158764
"About @@ per cent"	0.136156
"less than one percent"	0.127363
"more than @.@ percent"	0.125011
"about @.@@ percent"	0.12141
"about one-tenth"	0.120026
"less than five percent"	0.117096
"about @.@ percent"	0.115811
"up to @.@ percent"	0.107175
"two percent"	0.106788
"About @@.@ percent"	0.102431
"nine cents"	0.102385
"four percent"	0.101662
"about one percent"	0.100367
"seven percent"	0.0995755
"nine percent"	0.0995174
"about five percent"	0.0992986
"about @ percent"	0.0985703
"six percent"	0.0952822
"one percent"	0.0933955
"More than three quarters"	0.0927199
"one cent"	0.0923007
"eight percent"	0.0922992
"five percent"	0.089394
one-fourth	0.0892384
one-seventh	0.0879954
"eight cents"	0.0866447
fraction	0.0864574
"one third"	0.0861035
"less than one-third"	0.0860928
"three cents"	0.0856988
"three percent"	0.0793147
"one tenth"	0.0785275
tripling	0.0771523
"roughly two-thirds"	0.0765309
"about one third"	0.0761672
"less than one-tenth"	0.0760062
added-value	0.0757142
percent	0.0743722
determinant	0.0739806
"ten percent"	0.072483
"five cents"	0.0723188
seven-tenths	0.0714923
"two cents"	0.0714244
"more than @.@ billion yuan"	0.0694964
"about @@ points"	0.0686368
"About three quarters"	0.0679258
"More than one third"	0.0677796
one-sixth	0.0672598
"about four percent"	0.0666288
"a few pounds"	0.0664633
"nearly @@@ points"	0.0663156
"about two-thirds"	0.0662395
one-fifth	0.0662215
cheapest	0.0654619
"a few points"	0.0650259
"nearly $@"	0.0649276
"nearly @@ points"	0.0641575
doubling	0.0641302
"nearly one-third"	0.0638846
amalgamation	0.0638607
one-tenth	0.0634587
tenth	0.0626416
"about @@ to @@"	0.0618414
"about two percent"	0.0610859
"about @@ pounds"	0.0609407
"roughly one-third"	0.0600951
restatement	0.0599395
weakest	0.059866
"one sixth"	0.0597359
"dollar amount"	0.0595759
"more than @@ points"	0.0592751
"almost one-third"	0.0592288
"about three percent"	0.0582349
"one inch"	0.0579806
"about three-quarters"	0.057894
slashing	0.0578414
"nearly two-thirds"	0.0568956
"more than one-fourth"	0.0566941
"about @@@ million dollars"	0.0566285
"nearly one third"	0.0561895
"more than @ billion dollars"	0.0555542
slowest	0.0550266
"about one-third"	0.0549798
"more than @@ million dollars"	0.0547011
"more than @@ billion yuan"	0.0541062
nine-tenths	0.053877
"over @@@@"	0.0530389
"over one third"	0.0521767
"more than @ billion yuan"	0.0520927
"about @@@ points"	0.0518761
second-highest	0.0517674
two-tenths	0.0511901
dollars-worth	0.0509707
reallocation	0.0509232
"more than @@ million US dollars"	0.050694
one-eighth	0.0506683
safest	0.0506107
three-tenths	0.0504805
"more than @.@ billion US dollars"	0.0504522
"close to @@@"	0.0502011
whisker	0.0495834
"nearly $@@ billion"	0.0493484
"over @@.@ percent"	0.0493357
"rate of growth"	0.0487739
de-escalation	0.0485947
three-fifths	0.047866
second-fastest	0.0476015
"about @@ million dollars"	0.0471915
"transfer payment"	0.0465166
fastest	0.0462124
longer	0.0461584
"more than @@@ million dollars"	0.0460292
outperformance	0.0459627
"one pound"	0.0455827
liberalisation	0.0453309
millionth	0.0452999
"More than one-third"	0.0446188
eight-tenths	0.0443086
thirds	0.0441177
"more than @@ billion US dollars"	0.0439801
"one billion yuan"	0.0438532
centavo	0.0437367
"almost two-thirds"	0.0437325
pfennig	0.0437021
two-third	0.0432633
"more than @@@ points"	0.043168
smallest	0.0429963
"basis point"	0.042898
arithmetic	0.0426527
attractiveness	0.0426494
"paying back"	0.0425591
"over @@@ points"	0.042378
"more than @@@ million yuan"	0.0419574
two-fifths	0.041955
"more than @@@ million US dollars"	0.0417756
"about one-fourth"	0.0414141
"More than three-quarters"	0.0411258
leveling	0.041117
"about @@ billion dollars"	0.0410416
"about one-fifth"	0.0410067
"over two-thirds"	0.0410029
narrowness	0.0409536
chimera	0.0407865
"more than @@@ million"	0.0405533
"three meters"	0.0403288
octave	0.0402108
"steel production"	0.0400259
))
("about @@@ points" (desc 2316.67) (sims
"nearly @@@ points"	0.332902
"nearly @@ points"	0.315595
"more than @@@ points"	0.31038
"about @@ points"	0.199135
"more than @@ points"	0.185252
"over @@ points"	0.183767
"over @@@ points"	0.155341
"more than @.@ percent"	0.13971
"one cent"	0.13658
"nine cents"	0.136179
"three cents"	0.127385
"five cents"	0.125818
"another @.@ percent"	0.122447
"eight cents"	0.110893
"a few pounds"	0.109983
"two cents"	0.108174
centavo	0.0988188
"about @ percent"	0.0904983
"about @.@ percent"	0.0855148
"about @@ pounds"	0.0825947
"nine percent"	0.0797464
"basis point"	0.0767464
"a few points"	0.0766045
"More than three quarters"	0.0762592
"one dollar"	0.0754006
"more than @"	0.0735815
"almost @"	0.073457
"Sensitive Index"	0.0728555
"another @"	0.0728352
"about five percent"	0.0726007
"Kuwait Stock Exchange"	0.0695398
"four percent"	0.0688748
"about @@@ meters"	0.0687343
Sen	0.0686296
eight-tenths	0.0669768
"almost @@"	0.066562
octave	0.0661952
"more than @@ yards"	0.0655921
"Singapore Press Holdings"	0.0655745
"five meters"	0.0652639
"Karachi Stock Exchange"	0.064339
cent	0.0642429
"three percent"	0.0638933
"a few inches"	0.0629267
"one percent"	0.0628791
"about @@ yards"	0.0627366
"two inches"	0.062637
"four inches"	0.0625205
"about two percent"	0.0624302
"almost $@@ billion"	0.0613386
"two percent"	0.0612913
"eight percent"	0.0601056
"About @@.@ percent"	0.059218
"nearly @"	0.0586157
"five percent"	0.0584955
BSE-@@@	0.0575186
"Stock Exchange of Thailand"	0.0571387
"close to @@"	0.0566367
"nearly $@"	0.0565119
"FTSE @@@"	0.0565069
percent	0.0561455
"six percent"	0.0557306
"Development Bank of Singapore"	0.0554906
"Hang Seng Index"	0.0548364
"two points"	0.0548308
"Over @@@ Million Dollars"	0.0546629
"about @@ degrees"	0.053873
"a few meters"	0.0535213
"five points"	0.0531401
sharemarket	0.0528663
"about @@@ percent"	0.0518761
"almost $@ billion"	0.051453
"three inches"	0.0510802
Shiva	0.0510454
"two kilometers"	0.0507914
"almost $@@ million"	0.0505712
pfennig	0.0498318
Nikkei	0.0495063
"seven percent"	0.049114
"about @@ meters"	0.0486242
"Dhaka Stock Exchange"	0.0485723
half-point	0.0469016
"one penny"	0.0461174
Fahrenheit	0.0457399
"a few million dollars"	0.0456819
"four points"	0.0456395
fallow	0.0452931
two-tenths	0.0451415
"about @@ inches"	0.0448923
"CAC @@"	0.0447055
"about $@.@@"	0.0446142
year-on-year	0.0445104
"ten percent"	0.0444645
three-pointers	0.0440786
Pct	0.0438906
"about four percent"	0.0434386
RM@@.@@	0.0433521
"a few thousand dollars"	0.0432345
"Atlantic Division"	0.0432192
"nearly two-thirds"	0.0430778
"more than @@@ yards"	0.0430548
"seven miles"	0.0430431
"More than one third"	0.0429235
"Xetra Dax"	0.0425213
"about six miles"	0.042348
"more than @.@ billion dollars"	0.0423442
"three points"	0.0420622
"split decision"	0.0414571
"four billion yuan"	0.0413314
"about $@@@ billion"	0.0413286
"about $@"	0.0409146
longer	0.0407837
"more than @@@ billion yuan"	0.0407248
FTSE	0.0406583
"about @ billion dollars"	0.0406574
"seating area"	0.0405241
"one meter"	0.0404827
"bond price"	0.0403372
"More than one-third"	0.04014
hereafter	0.0400431
"nearly $@@ billion"	0.0400242
))
("about @@@ pounds" (desc 2206.78) (sims
"more than @@@ pounds"	0.240323
"more than @,@@@ pounds"	0.17971
"more than @,@@@ tons"	0.163236
"about @@@ tons"	0.161655
"about @@ pounds"	0.158086
"five tons"	0.153824
"two pounds"	0.153651
"more than @@ tons"	0.149688
"three tons"	0.14409
"about @@ tons"	0.140855
"five kilograms"	0.14014
"two tons"	0.136442
"more than @@@ tons"	0.134774
"six tons"	0.129571
"over @,@@@ tons"	0.122745
"one kilogram"	0.116142
"a few pounds"	0.114981
"four tons"	0.113947
"about @,@@@ tons"	0.110613
"more than @@,@@@ tons"	0.110424
"over @@@ tons"	0.105401
ton	0.100959
"about @@@,@@@ tons"	0.0979181
"one ton"	0.0945011
"two bags"	0.0937823
"one pound"	0.0921126
truckload	0.0861544
"about @ pounds"	0.0785527
"over @@,@@@ tons"	0.0774723
"one ounce"	0.0746927
"million tons"	0.0734677
"metric ton"	0.0724342
"more than @@@,@@@ tons"	0.0722026
"more than @@@ million tons"	0.0717959
bushel	0.0716638
"a few thousand dollars"	0.0715511
Kilogram	0.0711911
gram	0.0706024
"over @@@,@@@ tons"	0.0675971
consignment	0.0659813
"more than @ million tons"	0.0641319
"about @@,@@@ tons"	0.0641158
"about @@ million tons"	0.0628079
"UC Irvine"	0.0626554
"two boxes"	0.0582557
kilo	0.0576281
pallet	0.0574681
airdrop	0.055804
"almost $@@,@@@"	0.0545484
receipts	0.0531173
"Furman University"	0.0530591
planeloads	0.0523038
planeload	0.0520669
trainload	0.0515711
cache	0.0514687
labeling	0.0510547
kgs	0.0505482
"more than @@ yards"	0.0485053
"about $@@.@@"	0.0484552
"over $@,@@@"	0.0483343
"one homer"	0.0481237
"six inches"	0.0474095
"three pitchers"	0.0464875
megabits	0.0459378
"almost two"	0.0456817
"ammonium nitrate"	0.045628
using	0.045615
"about $@.@@"	0.0453961
boatload	0.0452948
armful	0.0451342
"almost $@@@,@@@"	0.0448961
ounce	0.0445073
crate	0.0439955
"nearly $@"	0.043964
contraband	0.0439634
keg	0.0437004
carload	0.0423919
irradiation	0.042188
lode	0.042124
incineration	0.040937
"one meter"	0.0408139
photocopy	0.0406451
scad	0.0404674
))
("about @@@ times" (desc 1097.02) (sims
"ten times"	0.239219
"about @@ times"	0.21351
"more than @@ times"	0.19002
"about five times"	0.189848
"about four times"	0.160263
"more than five times"	0.158915
"more than three times"	0.157031
"six times"	0.156722
"two times"	0.152687
"nearly three times"	0.141632
"more than four times"	0.137031
"two to three times"	0.13524
"about three times"	0.133823
"eight times"	0.133249
"almost three times"	0.131295
"four times"	0.12125
"Five times"	0.120903
"up to @@ times"	0.109678
"seven times"	0.109003
"From January to June"	0.102662
"nearly @@ times"	0.0955643
"nine times"	0.0948176
doggone	0.0931398
"five weeks ago"	0.0770114
"half time"	0.0717318
Y@K-compliant	0.069749
"billion over @@ years"	0.059839
"from January to May"	0.0594117
"more than @@@ times"	0.0578826
"from January to September"	0.0552423
add-on	0.053363
"seasons ago"	0.050588
"right here"	0.0501453
Wachovia	0.0500292
"From January to March"	0.0489799
"more than @@ years ago"	0.0481526
"over @@ months"	0.0458439
McGraw-Hill	0.0458119
"over three years"	0.044412
pretax	0.0443549
"over four years"	0.043573
"over five years"	0.041785
))
("about @@@ to @@@" (desc 1138.65) (sims
"up to @,@@@"	0.191473
"nearly one million"	0.173466
"close to @@,@@@"	0.172681
"roughly @@@,@@@"	0.169597
"roughly @@,@@@"	0.168767
"close to @,@@@"	0.16717
"almost @@,@@@"	0.163356
"roughly @,@@@"	0.162226
"Three hundred"	0.154827
"Two hundred"	0.152833
"almost @,@@@"	0.150434
"Around @@"	0.145796
"up to @@,@@@"	0.143313
"over @.@@ million"	0.139179
"about @@ to @@"	0.137164
"over @.@ million"	0.133991
"close to @@@"	0.133855
"up to @@@"	0.132052
"five to @@"	0.131937
"nearly @@@,@@@"	0.131808
"Over one million"	0.129234
"less than @@@"	0.12869
"up to @@@,@@@"	0.127542
"nearly @,@@@"	0.127215
"ten thousand"	0.127176
"roughly @@@"	0.122692
"first @@@"	0.120671
"nearly @@,@@@"	0.118844
"another @@@,@@@"	0.118158
"More than three million"	0.117191
"up to @@ million"	0.117001
"Another @,@@@"	0.116952
"More than two million"	0.116334
"more than one million"	0.115977
"nearly @ million"	0.11564
"almost @@@"	0.115425
"more than four million"	0.114609
"almost @ million"	0.114033
"almost @@@,@@@"	0.113724
"up to @ million"	0.112217
"six to @@"	0.1112
"over @,@@@"	0.110503
"About two million"	0.109975
"Another @@@"	0.10899
"Nearly @.@ million"	0.108759
"other @@@"	0.107222
"almost @@ million"	0.106533
"another @@,@@@"	0.106047
"About one million"	0.104829
forty	0.104068
"One Million"	0.104021
"over @ million"	0.101702
"another nine"	0.100952
Forty-four	0.100327
"Around @@@"	0.100147
"nearly @@ million"	0.100066
"about @@,@@@"	0.0998661
"nearly @@@"	0.0996924
"seven to @@"	0.0992426
"another @.@ million"	0.0968058
"Over two million"	0.0967598
"more than @.@@ million"	0.0967504
"Four million"	0.0963709
"over @@@,@@@"	0.0956609
"About three million"	0.0956061
Thirty-five	0.0946962
"over @@,@@@"	0.0944653
"almost two"	0.0941737
"up to six"	0.0934894
"more than @@,@@@"	0.0932431
"about @@@,@@@"	0.093007
"eight to @@"	0.0923175
"three million"	0.0922714
"more than six"	0.09212
"more than seven"	0.0908956
SAS	0.0888365
"nine million"	0.0883386
"more than @@@,@@@"	0.0866574
"another @@"	0.0866121
"three to four"	0.0864254
"Kosovar Albanian"	0.0861302
"Seven million"	0.086121
"close to @@"	0.0858444
"more than @@@@"	0.084716
Thirty-two	0.0841927
"less than @,@@@"	0.0832421
"more than @ million"	0.0827761
"more than @@@ million"	0.0823455
"up to two"	0.0820398
"six to eight"	0.0820061
Moro	0.0816141
"More than @.@ million"	0.0809338
"about @ million"	0.080913
"another six"	0.080268
"up to @@"	0.0802655
Thirty-three	0.0801698
Thirty	0.0799859
Thirty-four	0.0793736
"another @ million"	0.0791661
"up to eight"	0.0790299
"four to five"	0.0787816
"roughly @@"	0.0787391
Eighteen	0.0785684
twenty	0.0784381
Nineteen	0.0784002
"about six"	0.0779101
"three to five"	0.0776939
non-Jewish	0.0772083
"Boys Ranch"	0.0767436
Kurd	0.0755022
fulltime	0.0754401
"eight million"	0.0753742
"more than @.@ billion"	0.0753179
"about @.@ million"	0.0748074
"almost @@"	0.0746747
"over @@@"	0.0746585
"more than eight"	0.0743646
"four to six"	0.0739253
Forty-five	0.0730222
"less than @@"	0.0729309
"less than @@,@@@"	0.0725775
sixty	0.0723191
"less than five"	0.0717295
"About @.@@ million"	0.0717277
"turning away"	0.0712104
"more than @@ million"	0.070904
"over @@ million"	0.0707581
"six million"	0.0702531
Sixteen	0.0699871
Forty-seven	0.0699276
"up to three"	0.0698221
"two million"	0.0694176
"about eight"	0.0693596
Overnite	0.0693298
"five million"	0.0691413
Fifteen	0.0691095
"Bosnian Muslim"	0.0677724
Zairian	0.0676483
"two to four"	0.0674382
BSF	0.0667784
Thirty-one	0.0663291
"nearly @@@ million"	0.0654479
"about two"	0.0652701
Thirty-nine	0.0647333
"up to seven"	0.0642468
Kosovar	0.0638431
Thirteen	0.0638414
"about @@.@ million"	0.0638241
"two dozen"	0.0637449
"more than @ billion"	0.0633719
"Ethnic Albanian"	0.0631675
"South Vietnamese"	0.063049
"up to four"	0.0626523
Forty-two	0.0623346
"about nine"	0.0622297
"mentally retarded"	0.0620634
"less than two"	0.0620448
Twelve	0.0618013
AUM	0.0617716
"about five"	0.0617339
ragtag	0.0616825
idling	0.060926
"More than two"	0.0607282
Thirty-eight	0.0607193
"two billion"	0.0605571
Thirty-six	0.0604005
seventy	0.0601244
eighty	0.0600669
"up to five"	0.059795
"Nearly two"	0.0597578
"Sri Lankan"	0.059633
Fifty	0.0593942
Camerounian	0.0592331
Rwandese	0.0592211
"another seven"	0.058813
Tajik	0.0585656
"another three"	0.058551
Hasidic	0.0585184
Kashmiri	0.0585133
workfare	0.0582059
small-business	0.0579482
"another four"	0.057812
Okinawan	0.0575146
Younger	0.0571142
seventeen	0.0570063
VISTEON	0.0569092
"back office"	0.0568316
slain	0.0567115
Ecuadorean	0.0563255
MRTA	0.0562164
"sheet metal"	0.0557384
"up to @"	0.0553662
"about @@-@@"	0.055072
vending	0.0550458
Hmong	0.0544829
"about four"	0.0541455
INTERFET	0.0541407
"About @ billion"	0.0538816
Sinhala	0.0534657
Korean-American	0.0532384
))
("about @@@ tons" (desc 2144.84) (sims
"about @@ tons"	0.389473
"more than @@@ tons"	0.359049
"more than @,@@@ tons"	0.338184
"over @,@@@ tons"	0.329992
"more than @@ tons"	0.329947
"about @,@@@ tons"	0.307017
"more than @@,@@@ tons"	0.300788
"more than @ million tons"	0.294516
"more than @@@,@@@ tons"	0.292046
"more than @@@ million tons"	0.281432
"over @@,@@@ tons"	0.2802
"three tons"	0.278426
"more than @@ million tons"	0.267343
"one ton"	0.263729
"over @@@ tons"	0.261238
"about @@ million tons"	0.255051
"six million tons"	0.251674
"four million tons"	0.250607
"over @@@,@@@ tons"	0.246803
"about @@@,@@@ tons"	0.246027
"five tons"	0.227285
"about @@,@@@ tons"	0.225582
"three million tons"	0.218971
"two tons"	0.218296
"over @@ million tons"	0.215955
"two million tons"	0.215557
"five million tons"	0.200824
"million tons"	0.195404
"about @.@ million tons"	0.188947
"six tons"	0.18579
"four tons"	0.18297
ton	0.174898
"five kilograms"	0.172663
"one kilogram"	0.162
"about @@@ pounds"	0.161655
tonne	0.158604
"one million tons"	0.156479
quantity	0.152375
"more than @@@ pounds"	0.150018
consignment	0.141406
"metric ton"	0.133714
"two pounds"	0.130187
using	0.126364
truckload	0.124384
"about @@ pounds"	0.116772
trainload	0.11375
"more than @,@@@ pounds"	0.113547
"about @@,@@@ acres"	0.106476
kilo	0.105226
Kilogram	0.105005
kg	0.0999311
planeloads	0.0997011
airdrop	0.0985617
importation	0.095535
"two boxes"	0.0955063
bale	0.0948901
"cubic meter"	0.0939674
kgs	0.0933762
cu.m	0.0933237
vial	0.0870121
"a few pounds"	0.0853107
"one pound"	0.084919
"two bags"	0.0841163
"more than @@ billion US dollars"	0.084043
ration	0.0827104
planeload	0.082406
cargo	0.0809927
pellet	0.0802829
"more than @,@@@ acres"	0.0793614
"one ounce"	0.0778482
pumping	0.0756162
Tonnage	0.0754647
"more than @ billion dollars"	0.0734082
"Eighty percent"	0.0726015
Ingestion	0.0723454
boatload	0.072159
gallon	0.0719505
importing	0.0717157
"Eighty-five percent"	0.0714951
bushel	0.0714587
crate	0.0707016
fleck	0.0705174
megabits	0.0703365
dollars-worth	0.0700205
gram	0.0700144
sachet	0.0680905
packet	0.0669656
liter	0.0668904
"Seventy percent"	0.0662853
"About @@ per cent"	0.0650935
"more than @@@ million dollars"	0.0631574
"more than @@@ hectares"	0.0630823
cache	0.0628813
residue	0.0624286
pallet	0.0623941
gusher	0.061926
Four-fifths	0.0612852
"one cup"	0.0605614
"aircraft part"	0.0604439
contraband	0.0596244
labeling	0.0592857
speck	0.0590305
"electric current"	0.0586378
"more than @@@ million US dollars"	0.058553
"ammonium nitrate"	0.0584105
dwt	0.0583794
Mt	0.0582559
mw	0.0581905
shipload	0.0581879
adrenalin	0.0580454
cultivator	0.0577838
"about @,@@@ acres"	0.0571756
minibuses	0.0562138
transshipment	0.0557438
quart	0.0556549
phase-out	0.0553255
"Ninety-five percent"	0.0546419
"more than @@,@@@ acres"	0.0537421
tons	0.0535505
"more than @.@ billion US dollars"	0.0530669
"about @ pounds"	0.0528571
"about one third"	0.0522453
"rocket fuel"	0.0519227
"Twenty-five percent"	0.0516084
"liquefied petroleum gas"	0.0514911
droplet	0.0510118
"iron ore"	0.0506629
"almost $@@@,@@@"	0.0505192
"Up to @ inches"	0.0504409
"one billion US dollars"	0.0497527
whorl	0.0495315
rations	0.0494081
irradiation	0.0493816
"more than one-fifth"	0.0493451
pail	0.0492158
"more than @@@,@@@ hectares"	0.0492001
"Fifteen percent"	0.0491783
"military vehicle"	0.0491271
"Ninety percent"	0.0491115
piles	0.0488856
"hard drug"	0.0487169
"more than @@,@@@ hectares"	0.0486343
sheaf	0.0486337
VCDs	0.0485405
armful	0.0485183
decomposition	0.0484013
"rising prices"	0.0479835
"About @ billion"	0.0479754
oversupply	0.0479194
ounce	0.0475997
"diesel oil"	0.0475545
munition	0.0473888
tracking	0.0473855
"roughly one-third"	0.0471142
incineration	0.0469486
"less than one-tenth"	0.0466854
hashish	0.0465142
"motor oil"	0.0462857
"Over @@@ Million Dollars"	0.0462781
one-fourth	0.0462455
leakage	0.0461434
"toxic waste"	0.0461069
"two bottles"	0.046082
carload	0.0460692
unloading	0.0460005
"one quarter"	0.045932
"less than five percent"	0.0459176
"essential oil"	0.0452549
kWh	0.0451839
"fortune cookie"	0.0451713
"container ship"	0.0445267
"about $@.@ trillion"	0.0442986
"about one-third"	0.0442642
plutonium	0.0442436
"Forty percent"	0.0441976
VAT	0.0441736
"sulfuric acid"	0.0440592
rainwater	0.0438956
wholesomeness	0.0438535
"ultraviolet light"	0.0434904
ingot	0.0433821
"two million yuan"	0.0430839
photon	0.0430837
bpd	0.0429307
"about @@@ million US dollars"	0.0426737
"about two-thirds"	0.0426122
"four inches"	0.0424884
propellant	0.0422564
"more than @.@ billion dollars"	0.0422013
Imperatori	0.0421698
"two sacks"	0.0418614
"about @.@ million dollars"	0.0416667
phosphate	0.0416659
cornucopia	0.0416158
"More than one-third"	0.0415644
"milk cow"	0.0413992
"fuel oil"	0.0413492
tablespoon	0.0413439
out.	0.0410796
mitochondria	0.0409157
))
("about @@@ yards" (desc 8122.43) (sims
"about @@@ meters"	0.203855
"about two miles"	0.194953
"about @@ yards"	0.173808
"a few yards"	0.17204
"hundred yards"	0.163322
"a few hundred yards"	0.161816
"a few miles"	0.158011
"four kilometers"	0.152105
"two miles"	0.15133
"three miles"	0.147866
"a few meters"	0.14555
"about @@ meters"	0.14321
"about four miles"	0.142349
"about @@ miles"	0.140839
"about @ miles"	0.138847
"three kilometers"	0.135547
"four miles"	0.135134
"half mile"	0.133383
"about six miles"	0.131626
"about five miles"	0.130236
"eight miles"	0.127563
"about three miles"	0.124515
"five kilometers"	0.123745
"about @@ kilometers"	0.121994
"two kilometers"	0.121494
"one kilometer"	0.120328
"a few kilometers"	0.117401
"seven miles"	0.114856
"five miles"	0.113375
"eight kilometers"	0.111775
"about @@@ miles"	0.110399
"more than @@ miles"	0.109071
"quarter mile"	0.105661
"more than @@@ miles"	0.103332
"about one kilometer"	0.10297
"nine miles"	0.101458
"six miles"	0.0991136
"about @@ km"	0.0936141
mile	0.0925906
"a few inches"	0.0910199
"hundred miles"	0.0867548
"one mile"	0.0863888
"about @@@ kilometers"	0.0831543
"Nearly @@@ miles"	0.0830629
"six kilometers"	0.0812847
"about @@@ km"	0.0793573
"more than @,@@@ miles"	0.0748104
kilometer	0.0725533
yard	0.0716449
"more than @@@ yards"	0.0716224
"two meters"	0.0694176
"less than @@ miles"	0.0690056
meter	0.0676621
"about @@ inches"	0.0654432
"two inches"	0.064607
"about @,@@@ miles"	0.0637322
"one meter"	0.0633527
"chip shot"	0.0596696
"single file"	0.0579934
Lightyear	0.0574939
"about @ inches"	0.0567271
"cabin cruiser"	0.0551849
"six inches"	0.0547239
"more than @@@ kilometers"	0.0540153
jut	0.0518064
longer	0.0516006
"four inches"	0.0513056
"about @,@@@ kilometers"	0.0513023
"over @@@ kilometers"	0.0504101
slapper	0.0487704
"three meters"	0.0484728
"five meters"	0.0474919
Humvee	0.0473459
"about @@ points"	0.0451775
"running away"	0.0451505
upright	0.0450671
"more than @@ yards"	0.0437555
"about two hours"	0.0428735
))
("about @@@,@@@" (desc 25362.1) (sims
"more than @@@,@@@"	0.384071
"about @@,@@@"	0.36411
"about @.@ million"	0.324913
"over @@@,@@@"	0.320569
"more than @@,@@@"	0.307526
"More than @.@ million"	0.307406
"nearly @@@,@@@"	0.298961
"About @,@@@"	0.298368
"more than @ million"	0.295487
"about @ million"	0.292674
"over @@,@@@"	0.273523
"about @@ million"	0.264826
"more than @@ million"	0.262913
"nearly @ million"	0.259796
"more than one million"	0.257885
"One Million"	0.252338
"more than @,@@@"	0.245974
"about @@@"	0.244614
"over @ million"	0.241525
"over @.@ million"	0.234225
"nearly @@,@@@"	0.234117
"over @@ million"	0.232929
"almost @@@,@@@"	0.230262
"two million"	0.229608
"nearly @,@@@"	0.226584
"over @,@@@"	0.226523
"nearly @@ million"	0.225609
"up to @@@,@@@"	0.222728
"Nearly @.@ million"	0.214682
"three million"	0.212608
"Over one million"	0.210847
"five million"	0.202312
"almost @@,@@@"	0.198124
"Four million"	0.19607
"up to @@,@@@"	0.194003
"six million"	0.192463
"more than @@@"	0.192441
"more than @@@ million"	0.187613
"About one million"	0.186943
"another @@@,@@@"	0.18633
"less than @@,@@@"	0.185345
"More than two million"	0.185033
"up to @,@@@"	0.182421
"Seven million"	0.182166
"about @@.@ million"	0.18165
"More than three million"	0.178814
"almost @@ million"	0.178509
"less than @,@@@"	0.178125
"about @@"	0.176067
"roughly @@@,@@@"	0.175723
"about @@@ million"	0.166509
"nearly @@@"	0.162344
"over @@@"	0.160031
"more than @.@@ million"	0.159619
"About @.@@ million"	0.15958
"About two million"	0.158072
"up to @ million"	0.157872
"nearly one million"	0.155853
"almost @,@@@"	0.153302
"another @@,@@@"	0.152905
"Over two million"	0.151507
"over @.@@ million"	0.150624
"eight million"	0.15057
"almost @ million"	0.148311
"About three million"	0.146861
"more than four million"	0.146156
"roughly @@,@@@"	0.146042
"nine million"	0.140561
"roughly @,@@@"	0.14038
"nearly @@@ million"	0.13959
"Another @,@@@"	0.138895
"more than @@"	0.138112
"less than @@@"	0.137683
"almost @@@"	0.137264
"up to @@@"	0.137135
"over @@@ million"	0.133161
"up to @@ million"	0.116499
"about @@ percent"	0.11621
"over @@"	0.115414
"close to @@,@@@"	0.111591
"Another @@@"	0.109186
"nearly @@"	0.107634
"roughly @@@"	0.105404
"close to @,@@@"	0.105299
"another @.@ million"	0.105016
"about @ percent"	0.103359
hundred	0.10334
"up to @@"	0.103173
"another @ million"	0.102479
million	0.0994364
thousand	0.0985911
"roughly @@"	0.0980609
"almost @@"	0.0964354
Twelve	0.094054
"first @@@"	0.0938619
"about @.@ percent"	0.093462
"two dozen"	0.0934587
"about @@@ to @@@"	0.093007
eight	0.0919518
"less than @@"	0.0905899
Six	0.0885583
"about @@ to @@"	0.0881376
ten	0.0880637
"About @@.@ percent"	0.0878844
nine	0.0875917
seven	0.0865649
"seven percent"	0.0865648
Thirteen	0.0864867
"Two hundred"	0.0863612
one-fifth	0.0860064
"five percent"	0.0859864
Eighteen	0.0857674
Sixteen	0.0854589
Five	0.0854417
"close to @@@"	0.08503
Fifteen	0.0850144
Three	0.0845922
"one third"	0.0841251
"three percent"	0.0840083
"about one-third"	0.0834452
"another @@"	0.0833912
one-third	0.0832299
"Another @@ million"	0.0831218
"more than @"	0.0830552
four	0.0827703
"six percent"	0.0823885
"one billion"	0.0816729
"about @.@"	0.0814849
"Three hundred"	0.080543
"nine percent"	0.0802927
"eight percent"	0.0798221
"four percent"	0.0789848
"about four"	0.0789461
"other @@@"	0.0787294
"about six"	0.0777983
older	0.0769228
"turning away"	0.0760685
forty	0.0758288
"Around @@@"	0.0753897
"ten thousand"	0.0745717
Fourteen	0.0737682
"about three"	0.0732227
"about @.@ billion"	0.0731112
Thirty-six	0.0716984
bpd	0.0716841
twenty	0.0716702
"a few"	0.0715552
"two percent"	0.0714908
expatriate	0.0707786
"More than nine"	0.0707557
Eleven	0.0705984
"about $@@@ million"	0.0702397
"about eight"	0.0700775
one-tenth	0.07
Thirty-five	0.0696785
"ten percent"	0.0693763
"About one"	0.0691474
seventeen	0.0687582
"about $@@ billion"	0.0686894
"about five"	0.0683093
"how many"	0.0679159
"More than one-third"	0.0675801
"Other @@"	0.0671752
nonwhite	0.0671404
non-Jewish	0.0669063
"one percent"	0.0667149
"More than two"	0.0663758
Thirty	0.0663717
Nineteen	0.0659665
"more than @@@@"	0.0658076
"about two-thirds"	0.065693
"six to eight"	0.0654744
eighty	0.0653462
minority	0.0652389
"Eighty percent"	0.0648855
slain	0.0648087
"less than @"	0.0640917
"middle class"	0.0639407
"nearly one-third"	0.0639388
"about two"	0.0637921
one-quarter	0.0636814
"More than three-quarters"	0.0636586
"another three"	0.0634944
"more than five"	0.0633201
percent	0.062729
two-thirds	0.0625633
Thirty-two	0.0624585
"more than @ billion"	0.0622845
"more than one"	0.0615746
Fifty	0.0615634
"about $@@ million"	0.0614715
Younger	0.0611213
"nearly @"	0.060978
"another six"	0.0605614
"less than @.@ percent"	0.060535
"up to three"	0.0603931
"Forty percent"	0.0597893
"Nearly two"	0.0596378
"about seven"	0.0595173
"about @@ billion dollars"	0.0591564
))
("about @@@,@@@ acres" (desc 1127.31) (sims
"more than @@@,@@@ acres"	0.452851
"more than @@,@@@ acres"	0.395843
"about @@,@@@ acres"	0.393582
"more than @,@@@ acres"	0.383276
"about @,@@@ acres"	0.369974
"about @@@ acres"	0.335741
"more than @,@@@ hectares"	0.323558
"more than @@,@@@ hectares"	0.307008
"about @@@,@@@ hectares"	0.302257
"more than @@@,@@@ hectares"	0.300567
"million acres"	0.282249
"About @@,@@@ hectares"	0.257926
"more than @@@ hectares"	0.240157
"over @,@@@ hectares"	0.201116
hectare	0.143123
acre	0.13972
clear-cutting	0.130679
tract	0.106222
sq.km	0.0991184
husk	0.0869348
acreage	0.0869203
"square mile"	0.0834021
"more than @ million tons"	0.0831661
"one ton"	0.0798791
felling	0.0785794
expanse	0.0763713
underbrush	0.0710258
"piece of cloth"	0.0704064
"about @@ million tons"	0.0690058
shrinkage	0.0673553
"one inch"	0.0663194
"about @.@ million tons"	0.0660535
bio-diversity	0.065632
"more than one-fifth"	0.0653454
"about @,@@@ tons"	0.0643145
cropland	0.0642203
"two tons"	0.0630685
"coca crop"	0.0628271
"six tons"	0.0628029
"more than @@@ tons"	0.0616657
"four million tons"	0.0605164
"about @@ tons"	0.0602967
"economic value"	0.0594944
"square inch"	0.0594172
"more than @@@ million tons"	0.0575579
"cultivated land"	0.0570769
"patchwork quilt"	0.0557277
"more than @@@,@@@ tons"	0.0552372
expropriation	0.0552214
outbuilding	0.0546126
"million tons"	0.0543008
"tropical rain forest"	0.0529866
"five kilograms"	0.0528031
"two million tons"	0.0526097
defoliant	0.0519464
"about one-quarter"	0.0517551
"over @@,@@@ tons"	0.0510541
"Civic Arena"	0.0500419
frontage	0.0499476
"over @@@,@@@ tons"	0.0498501
"over @,@@@ tons"	0.0497447
usurpation	0.0496596
"Seventy-five percent"	0.0492199
"little finger"	0.0490605
"about @@@,@@@ tons"	0.0490245
"Twenty percent"	0.0489165
"more than @,@@@ pounds"	0.0488779
"nearly two-thirds"	0.0484067
"natural state"	0.0483648
one-fourth	0.0482987
"five tons"	0.0473383
"another @@.@ percent"	0.0473258
"woman's body"	0.0472464
"About @@ per cent"	0.0467518
beamer	0.0466521
"Ron Tugnutt"	0.0462532
"nearly one third"	0.0461897
"square foot"	0.0461347
"more than @@ million tons"	0.0458523
louver	0.0458049
"square meter"	0.0456913
"about one percent"	0.0454954
"parcel of land"	0.0453268
Tuber	0.0452691
"mine field"	0.0441944
inundation	0.0440622
"Dan Miller"	0.0435501
"Twenty-five percent"	0.0432264
amaryllis	0.0428542
"about one quarter"	0.042673
worn	0.0426724
forklifts	0.042349
paddy	0.0421361
centimeter	0.0420244
harvesting	0.0417228
completeness	0.0416825
"educational activity"	0.0416412
"a few pounds"	0.041299
"land resource"	0.0412824
"Jack Gargan"	0.041178
"fire hose"	0.0410047
Leland	0.0409913
"vital organ"	0.0409646
"about @@@ tons"	0.0408885
"about @@ pounds"	0.0407896
bushel	0.0407093
Princeville	0.0402941
"another @.@ percent"	0.0401866
))
("about @@@,@@@ dollars" (desc 968.142) (sims
"about @.@ million dollars"	0.393361
"about @@.@ million dollars"	0.386742
"about @.@@ billion dollars"	0.293977
"about @@ million US Dollars"	0.261568
"about @@ million dollars"	0.232499
"about @@@ million US dollars"	0.211819
"about @@@ million dollars"	0.204996
"about @ billion dollars"	0.177318
"about @.@ billion US dollars"	0.168676
"about @@ billion dollars"	0.149727
"about @.@ billion dollars"	0.147317
"more than @ billion yuan"	0.122867
"nearly @@ billion yuan"	0.114662
"hundred million dollars"	0.111206
"nearly @@@ million yuan"	0.108157
"more than one billion yuan"	0.107499
"one million US dollars"	0.104103
"over @@@ billion yuan"	0.104082
"more than @.@ billion dollars"	0.104079
"almost $@@,@@@"	0.103367
"over @@@ million US dollars"	0.101672
"a few million dollars"	0.0991445
"over @@ million US dollars"	0.0986725
"about @@ billion yuan"	0.0986053
"nearly @.@ billion yuan"	0.0975925
"three million yuan"	0.097112
"about @@@ million yuan"	0.0965547
"more than @.@ billion yuan"	0.0956516
U.S.dollars	0.0946582
"nearly $@,@@@"	0.0941999
"more than @@@,@@@ yuan"	0.09337
"two million yuan"	0.0932295
"a few thousand dollars"	0.0929576
"over @@ billion yuan"	0.0912019
"another @@ million dollars"	0.0911249
"about $@.@@ million"	0.09075
"more than @@@ million dollars"	0.0905998
"almost $@@@,@@@"	0.0903393
"five million yuan"	0.0902928
"nearly $@.@ million"	0.0900655
"million yuan"	0.0899288
"nearly $@@"	0.089923
"almost $@@@ million"	0.0891437
"almost $@@ million"	0.088559
"hundred thousand dollars"	0.0880127
"one million dollars"	0.0877753
"nearly $@"	0.0876589
"more than @@.@ billion yuan"	0.0869296
"more than @ billion dollars"	0.08666
"more than @@@ million US dollars"	0.0846111
"over @@ million yuan"	0.0840394
"almost $@ million"	0.0835356
"more than @@,@@@ yuan"	0.0824746
"Over @@@ Million Dollars"	0.0823286
"small fortune"	0.080482
"thousand dollars"	0.0802528
"one billion US dollars"	0.0799951
"more than @@@ million yuan"	0.0796561
"hundred dollars"	0.0796163
"over $@@@"	0.07803
"billion yuan"	0.0770224
"more than @@ million dollars"	0.0763811
"nearly $@@,@@@"	0.0759013
"three billion yuan"	0.0751153
"one penny"	0.07366
"five billion yuan"	0.0734828
"six billion yuan"	0.0728764
"more than @@ million yuan"	0.0728664
"one billion dollars"	0.0728348
"almost $@@ billion"	0.0719931
"over @.@ billion yuan"	0.0714635
"RM@@,@@@"	0.0712763
"over $@,@@@"	0.0709203
"more than @.@ billion US dollars"	0.0706377
"more than @@ million US dollars"	0.0703354
monies	0.0698231
"U. S.dollars"	0.0697006
"nearly $@.@ billion"	0.0692945
"a few hundred dollars"	0.0681714
"about $@@.@ million"	0.0679402
"nearly $@@@ million"	0.0669867
"a few dollars"	0.0664845
RM@@@	0.0661778
"two billion yuan"	0.0660475
"over @@@ million yuan"	0.0657167
"over $@@"	0.0656681
"about $@.@@ billion"	0.0654483
"legal age"	0.0651228
"more than @@ billion yuan"	0.0646995
"over $@ billion"	0.0646788
"about $@.@ million"	0.0643687
"one million yuan"	0.0642286
"over $@@@ million"	0.0635911
"over $@@@,@@@"	0.0632384
"ransom money"	0.0630033
"almost $@ billion"	0.0624286
"more than @@@ billion yuan"	0.0619252
"million dollars"	0.0617707
"nearly $@@@,@@@"	0.0614089
"seven billion yuan"	0.0613984
"nearly $@ million"	0.0613492
VND	0.0612341
"billion dollars"	0.0606758
"Tanzania Shillings"	0.0593836
"four billion yuan"	0.0587673
"over six months"	0.0580626
UNAMET	0.0579949
"RM@@@,@@@"	0.0579495
"over $@ million"	0.0575668
"over $@@ million"	0.0574983
"over $@@ billion"	0.057029
"RM@,@@@"	0.0561496
"one billion yuan"	0.0551898
"nearly $@ billion"	0.0548318
"over $@@,@@@"	0.0539223
"about $@@ billion"	0.0538715
hryvnas	0.0538285
"nearly $@@ million"	0.053532
"Uganda Shillings"	0.0534623
"sum of money"	0.0534608
"Zimbabwe Dollars"	0.0527393
"about $@.@@"	0.0525219
U.	0.0514252
"nearly $@@ billion"	0.0493797
metical	0.048406
"billion over @@ years"	0.048392
"about $@@.@ billion"	0.0478335
"about $@"	0.0475878
"break of serve"	0.0461551
"nearly $@@@ billion"	0.0459605
"one dollar"	0.0459483
"great deal"	0.045007
"smoke screen"	0.0448792
"about $@@@ billion"	0.0447378
GPU	0.0446454
ZCTU	0.0445942
"trillion dollars"	0.0442065
"nearly one-third"	0.0435851
AMT	0.043478
RM@	0.043308
"general practitioner"	0.0427777
"annual payment"	0.0426246
Meston	0.0423673
"about $@.@ trillion"	0.0422874
"film maker"	0.042153
"two billion"	0.0415955
"de Charette"	0.0413305
Adelphia	0.041183
"European Jews"	0.0400741
))
("about @@@,@@@ hectares" (desc 1072.24) (sims
"About @@,@@@ hectares"	0.526066
"more than @@@,@@@ hectares"	0.497069
"more than @@,@@@ hectares"	0.461651
"more than @,@@@ hectares"	0.457497
"over @,@@@ hectares"	0.401274
"more than @@@ hectares"	0.320483
"more than @@,@@@ acres"	0.314666
"more than @,@@@ acres"	0.304478
"about @@@,@@@ acres"	0.302257
"more than @@@,@@@ acres"	0.256713
"about @,@@@ acres"	0.252141
"about @@,@@@ acres"	0.239413
"about @@@ acres"	0.234517
"million acres"	0.211517
hectare	0.206065
sq.km	0.140732
kilometre	0.140591
ha	0.134491
swathe	0.131259
acreage	0.128384
acre	0.119984
tract	0.11789
felling	0.111304
"more than @ million tons"	0.0975886
shrinkage	0.0974027
"square inch"	0.0943865
"square mile"	0.0934635
clear-cutting	0.0889123
"economic value"	0.0888027
harvesting	0.0880961
"Seventy percent"	0.0862592
"square meter"	0.0860282
inundation	0.0801636
"one inch"	0.079273
"nearly one third"	0.0757083
km	0.0720227
"over one third"	0.0707009
flatness	0.0692345
"land area"	0.0685143
Rai	0.0663199
checkerboard	0.0659925
"about one quarter"	0.0634114
"over two-thirds"	0.0629373
"patchwork quilt"	0.0624562
"another @.@ percent"	0.0623368
one-fourth	0.061688
"nearly two-thirds"	0.0601501
"sense of direction"	0.0598823
"more than @.@ percent"	0.0586471
drying	0.0585912
"square foot"	0.0585879
"about @@@,@@@ tons"	0.058085
usurpation	0.0573416
"one fifth"	0.0558995
"a few pounds"	0.0557187
sq.m	0.0556863
one-seventh	0.0543487
fumigation	0.0541266
remained	0.0540882
"about @,@@@ tons"	0.0539171
"more than @@@,@@@ tons"	0.0537645
"landing strip"	0.0536691
"about three percent"	0.0530072
"Twenty percent"	0.052472
hippocampus	0.0524007
"More than three quarters"	0.0518379
"more than @,@@@ pounds"	0.0515125
"natural state"	0.0514495
fertility	0.0512952
"Thirty percent"	0.0512358
wide-range	0.0510075
"about @@ pounds"	0.0508672
"about three-quarters"	0.0507376
"vital organ"	0.0500144
upkeep	0.0496427
"more than @,@@@ kilometers"	0.0494292
prehistory	0.0494081
completeness	0.0490085
"Seventy-five percent"	0.0482604
"more than @,@@@ tons"	0.0482333
"six tons"	0.0480135
"more than three-fourths"	0.0479762
"another @@.@ percent"	0.0477333
"about one-fifth"	0.0475525
"about one-tenth"	0.0471181
"about five percent"	0.0466643
underbrush	0.0463043
"over @@@,@@@ tons"	0.0456287
three-fifths	0.0454781
"three schools"	0.0454384
mangrove	0.045216
"more than @@@ billion yuan"	0.0451006
"over @@.@ percent"	0.0448936
"two tons"	0.044858
"hair follicle"	0.0444635
"more than one-fourth"	0.0444163
"one kilogram"	0.0442051
"credit system"	0.0441055
"first cup"	0.04397
"one ton"	0.0438576
subsidence	0.0435872
"drainage area"	0.0431618
"social structure"	0.0431392
feddans	0.0430214
"more than one-fifth"	0.0426119
"weather station"	0.042479
paddy	0.0424134
"vocal cord"	0.0422262
centimeter	0.0421939
"sugar refinery"	0.0421264
"personal relation"	0.0421196
curvature	0.0419906
"shareholder value"	0.0418519
"one pound"	0.0417963
"elephant population"	0.0415038
"cultivated land"	0.041248
harnessing	0.0408299
"one line"	0.0408055
acceptability	0.0407859
"catchment area"	0.0407633
"Yellowstone National Park"	0.0405684
earning	0.0403871
"nearly @@ points"	0.0401763
"about one percent"	0.0401397
"oil palm"	0.0400699
))
("about @@@,@@@ tons" (desc 3794.41) (sims
"more than @@@,@@@ tons"	0.365215
"over @@@,@@@ tons"	0.354868
"about @@,@@@ tons"	0.33999
"over @@,@@@ tons"	0.335002
"about @.@ million tons"	0.331344
"one million tons"	0.319019
"about @@ million tons"	0.311224
"million tons"	0.308824
"more than @ million tons"	0.300429
"two million tons"	0.297832
"four million tons"	0.296341
"more than @@ million tons"	0.294677
"about @,@@@ tons"	0.289559
"more than @@,@@@ tons"	0.28838
"three million tons"	0.287146
"five million tons"	0.277578
"six million tons"	0.266192
"more than @,@@@ tons"	0.256904
"about @@@ tons"	0.246027
"over @@ million tons"	0.244662
"over @,@@@ tons"	0.241675
"more than @@@ million tons"	0.23441
"more than @@@ tons"	0.217263
tonne	0.216405
"one ton"	0.215133
"about @@ tons"	0.171869
"over @@@ tons"	0.16424
"two tons"	0.15091
"six tons"	0.148112
ton	0.147412
kg	0.137623
"metric ton"	0.132668
"three tons"	0.130895
"five tons"	0.12806
"one kilogram"	0.127589
bale	0.123753
consignment	0.11805
Mt	0.115063
"more than @@ tons"	0.11314
"five kilograms"	0.110042
quantity	0.109782
dollars-worth	0.109344
Kilogram	0.104808
bpd	0.102249
"about @@@ pounds"	0.0979181
"four tons"	0.0979095
kWh	0.0929267
"about @@ pounds"	0.0918708
bushel	0.0916952
"About @@ per cent"	0.0910723
"Over @@@ Million Dollars"	0.0891742
importation	0.0870629
"more than @@ billion US dollars"	0.0869664
mw	0.086716
"more than @@@ pounds"	0.0857409
"about @@ billion dollars"	0.0837854
"more than @ billion dollars"	0.0831471
"about three percent"	0.0786045
cu.m	0.0776291
labeling	0.076127
"two sacks"	0.0758475
kilo	0.07523
"seven billion yuan"	0.0750668
shipment	0.0749849
airdrop	0.074269
barrel	0.0731399
"more than @@@,@@@ hectares"	0.0730888
"polyvinyl chloride"	0.0723641
"two boxes"	0.0719713
importer	0.0718199
importing	0.071438
"six percent"	0.0711461
kgs	0.0703948
"more than one-fifth"	0.0693145
"one third"	0.069259
urea	0.0690629
"about @@@ million dollars"	0.0689899
"more than @.@ billion dollars"	0.06896
"about one third"	0.0687424
one-fifth	0.067569
"two pounds"	0.0673029
"cubic meter"	0.0671277
"one billion US dollars"	0.0668663
"nearly $@@"	0.0667549
"barrels per day"	0.0664281
"more than @,@@@ hectares"	0.0654918
"more than @@@ hectares"	0.0652638
"six billion yuan"	0.0652049
"less than five percent"	0.0646193
ha	0.0643537
"more than @,@@@ pounds"	0.0643366
"about @.@ million"	0.063897
overproduction	0.0638761
adulteration	0.0638249
"about @@ million dollars"	0.0638018
"rising prices"	0.063742
"more than @@@ million US dollars"	0.0636432
"About @@,@@@ hectares"	0.0635949
"one cup"	0.0633363
"Eighty percent"	0.0630891
"less than @.@ percent"	0.0630477
"about one-third"	0.0630187
"less than @@@"	0.0627052
"one billion yuan"	0.0626255
"about @@,@@@ acres"	0.0624395
"four billion yuan"	0.0622818
exportation	0.0615393
"about @,@@@ acres"	0.061184
"four percent"	0.0608231
hectare	0.0607354
harvesting	0.0598716
drying	0.0598025
"more than @@,@@@ hectares"	0.0597592
ration	0.0594435
truckload	0.0593962
planeload	0.0591802
one-fourth	0.0581401
"about @@@,@@@ hectares"	0.058085
"about two percent"	0.0575852
cultivation	0.0575575
decomposition	0.0574286
"more than @@@ million dollars"	0.0572967
irradiation	0.0572681
"one ounce"	0.0570747
"less than @@,@@@"	0.0569191
"about five percent"	0.0565066
"more than @@ billion dollars"	0.0563683
"liquefied petroleum gas"	0.0562886
"two billion yuan"	0.0562637
"about $@ billion"	0.056123
"one billion dollars"	0.0560888
"aircraft part"	0.0559378
"one tenth"	0.0554636
one-tenth	0.0553791
"caustic soda"	0.0550981
Tonnage	0.0549288
oversupply	0.054834
"about @@@ million yuan"	0.0547576
maize	0.0545103
"nine percent"	0.0541001
"More than one-third"	0.0539075
"about @.@ percent"	0.0538785
"seven percent"	0.0537256
"more than @.@ billion US dollars"	0.0535833
"about @.@ billion dollars"	0.0533587
planeloads	0.0533288
packet	0.0532834
"passenger car"	0.0532012
glut	0.0531907
"more than @@ million dollars"	0.0531231
"almost $@ billion"	0.0525522
"more than one-fourth"	0.0524562
"about $@.@ billion"	0.0523088
three-fourths	0.0522867
gallon	0.0519666
pataca	0.0519014
dumping	0.05189
"more than @@ billion yuan"	0.0518479
"two percent"	0.0518441
ethylene	0.0518432
gram	0.0515747
"about @ percent"	0.0512602
"more than @.@ percent"	0.0512391
"ten percent"	0.0512106
phosphate	0.0512074
"Seventy percent"	0.0511629
"about $@.@ trillion"	0.051072
shipload	0.0509172
intake	0.0508509
"U.S. Dollars"	0.0506159
"more than @@@ billion yuan"	0.0504489
"about $@@ billion"	0.0503838
"three percent"	0.0503677
"about @@@ million"	0.0503465
"kilowatt hour"	0.0503192
"about @@@ million US dollars"	0.0502447
"food grain"	0.0502331
"eight percent"	0.0498416
"about @@ million"	0.0497669
sheaf	0.0495602
two-third	0.0495016
unloading	0.0494732
"Fifty-five percent"	0.0492922
"Zimbabwe Dollars"	0.0492461
acreage	0.0492082
"sea food"	0.0491432
"about @@@,@@@ acres"	0.0490245
Made	0.0485216
"motor vehicle"	0.0484712
"iron ore"	0.0484252
"about $@@@ million"	0.0479969
"about @ pounds"	0.047917
"about one percent"	0.047728
"more than @.@ billion yuan"	0.0476742
"five percent"	0.0475131
"two bags"	0.0474771
"five million yuan"	0.0474376
"almost two-thirds"	0.0472649
scarcity	0.0470161
U.S.dollars	0.0466211
))
("about @@@@" (desc 7371.21) (sims
"first century"	0.0681213
"Yuan Dynasty"	0.0678866
A.D	0.060522
"Han Dynasty"	0.0535162
"About @,@@@"	0.0532289
B.C	0.0519984
"over @@,@@@"	0.0516242
"late @@@@"	0.0502194
"Stone Age"	0.050194
mid-@@th	0.0500509
"over @,@@@"	0.050038
"about @@@ to @@@"	0.0499924
mid-@@@@	0.0483603
"more than @@,@@@"	0.0482431
sixty	0.0477736
"almost @,@@@"	0.0469946
"Around @@@"	0.0465749
"Ming Dynasty"	0.0463797
"nearly @,@@@"	0.0463562
"about @@,@@@"	0.0458358
"up to @@@@"	0.045083
"Tang Dynasty"	0.0450136
"almost @@,@@@"	0.0448819
"middle age"	0.0448058
"Song Dynasty"	0.0443288
"Two hundred"	0.0437335
Thirty-five	0.043164
"first grade"	0.0428801
"third grade"	0.0426587
"up to @@,@@@"	0.0422528
"nearly @@,@@@"	0.0421172
"American Revolution"	0.0421037
"fifth grade"	0.0416884
"about @@@,@@@"	0.041642
"Qing Dynasty"	0.0415129
"Spanish-American War"	0.0407011
))
("about eight" (desc 2683.88) (sims
"about six"	0.207657
"about five"	0.176482
"more than six"	0.175495
"up to three"	0.163066
"about four"	0.162216
"nearly three"	0.158511
"almost two"	0.158167
"about seven"	0.155017
"more than eight"	0.15297
"about three"	0.151881
"more than three"	0.146776
"More than two"	0.144729
"Nearly two"	0.14146
"More than nine"	0.139165
"more than five"	0.138449
"about two"	0.135025
"more than four"	0.134163
"up to six"	0.133325
"first @@@"	0.130123
Thirty-five	0.129711
"another @"	0.121418
"roughly @@"	0.120824
"up to five"	0.120104
Twelve	0.118421
"more than seven"	0.118233
Nineteen	0.115803
Fifteen	0.115515
"less than two"	0.115254
Thirteen	0.114679
"eight to @@"	0.112314
"Two hundred"	0.11068
twenty-six	0.10896
Fourteen	0.108459
"nearly four"	0.108181
Sixteen	0.107513
Thirty-nine	0.106968
"up to four"	0.106154
"another four"	0.105245
"up to @@ million"	0.105083
"about @@.@ million"	0.104988
"up to @@@"	0.104379
"up to @,@@@"	0.104257
"about @@"	0.103551
"close to @,@@@"	0.101846
"nearly @@,@@@"	0.101704
"over six"	0.101357
eighty	0.100261
"over three"	0.100011
"almost @@@,@@@"	0.0999717
twenty	0.0997918
Fifty	0.0991147
Thirty-three	0.098798
"up to @@"	0.0986716
"more than @@@ million"	0.0982618
"almost @,@@@"	0.0977326
"about @@ to @@"	0.0976888
Forty-seven	0.0975201
"nearly @@@"	0.0974436
"more than @ million"	0.0973015
"two to four"	0.0969627
Thirty-eight	0.0961076
"nearly @,@@@"	0.0954025
"about nine"	0.0953133
Eleven	0.0952621
"about @.@ billion"	0.0950879
"roughly @@@"	0.0944912
"over @,@@@"	0.0942112
"almost @@@"	0.0941898
Eighteen	0.0937812
"up to seven"	0.0931211
"nearly @@ million"	0.0923102
"over four"	0.0922763
"Over two million"	0.0914318
Thirty-six	0.0909117
"six to eight"	0.0898135
"More than @.@ million"	0.0894767
"about @"	0.0890797
"almost @@ million"	0.089068
"other @@@"	0.0886637
"another six"	0.0883186
"up to @@,@@@"	0.0883073
"Less than one"	0.0880094
"about @.@"	0.0875544
"nearly @@"	0.0875036
"up to eight"	0.0872951
"five to @@"	0.0862442
"Around @@@"	0.0861975
"nearly @@@,@@@"	0.086022
"two to three"	0.0859739
"over @@@,@@@"	0.0858654
"more than @@ million"	0.0850974
"Another two"	0.0850701
"almost @"	0.084738
"over five"	0.0847164
"close to @@@"	0.0846604
"more than @.@ billion"	0.0844649
"up to @@@,@@@"	0.08421
"up to two"	0.0839192
"about @@@"	0.0839041
"three to four"	0.083646
"more than @@"	0.0833143
"less than @@"	0.0831997
"half a dozen"	0.0831252
Thirty	0.0826385
"almost @@"	0.0819083
"over @@@"	0.0816451
forty	0.081435
"less than @@@"	0.0810929
"more than one million"	0.0808997
"four to six"	0.0803954
"over @@,@@@"	0.0796676
"five million"	0.0795954
"more than one"	0.0788718
Twenty-three	0.0787557
"more than @@@,@@@"	0.0787441
"two million"	0.0778671
"six million"	0.0775863
"first @@"	0.0775807
"another nine"	0.0772216
"About @ billion"	0.0772057
"another five"	0.0771892
"six to @@"	0.0771358
Forty-two	0.077126
sixty	0.0770952
"over @.@ million"	0.0770813
"nearly @ million"	0.0769147
"about @ million"	0.0768718
"over seven"	0.0768093
"another @@"	0.0764669
"another @@,@@@"	0.0764215
"four to five"	0.0763669
"three to five"	0.0759567
"three million"	0.0758461
"One Million"	0.0757545
"more than @,@@@"	0.0756996
"about @@ million"	0.075693
"another seven"	0.0755809
"seven to @@"	0.0748888
Twenty-five	0.0746472
"almost one"	0.0746255
"over @@ million"	0.0743083
"first five"	0.0732011
"About @,@@@"	0.072637
"more than @@,@@@"	0.0720938
"About one"	0.0719605
"more than @ billion"	0.0713736
"over two"	0.0708868
"less than five"	0.0705525
"roughly @@,@@@"	0.0704165
"almost @@,@@@"	0.0703728
"more than @.@@ million"	0.0703056
"over @ million"	0.0702546
Twenty-seven	0.0701533
"about @@@,@@@"	0.0700775
"another three"	0.0699356
"first four"	0.0699243
"Nearly @.@ million"	0.0696632
"about @@,@@@"	0.0694162
"about @@@ to @@@"	0.0693596
"over @@"	0.0691463
"up to @"	0.0690142
"eight million"	0.0689266
"Seven million"	0.0687351
"Four million"	0.0686613
"roughly @,@@@"	0.0686474
"first eight"	0.0674665
"first three"	0.0674589
"about @@@ million"	0.0670514
"about @.@ million"	0.0664753
"nearly @@@ million"	0.0664638
"less than @,@@@"	0.0655638
Thirty-two	0.0654425
"nearly @"	0.0654243
seventeen	0.0653677
"Another @,@@@"	0.0651659
twenty-two	0.0651519
"Other @@"	0.0650093
"close to @@"	0.0646806
"six billion"	0.0643115
"more than ten"	0.0642929
"first six"	0.0641592
"About one million"	0.0640704
"almost @ million"	0.064048
Thirty-four	0.0633589
"first nine"	0.063248
"Another @@@"	0.0628749
"won @@@"	0.0627766
"roughly one"	0.0625179
"about @@-@@"	0.0622411
"more than @"	0.0622123
Pickens	0.0613441
"first two"	0.0613249
"over @.@@ million"	0.0607519
"ten thousand"	0.0605589
"nearly one"	0.0601545
"two dozen"	0.0596013
twenty-eight	0.0595863
"over @@@ million"	0.0595035
"other five"	0.0591121
"Over one"	0.0586971
))
("about five" (desc 4800.08) (sims
"about six"	0.211751
"about four"	0.179605
"about eight"	0.176482
"about three"	0.163361
"more than five"	0.159669
"about two"	0.154367
"Nearly two"	0.138892
"more than six"	0.133548
"more than eight"	0.131813
"More than two"	0.128835
"about @@"	0.125163
"about seven"	0.125127
"up to three"	0.124944
"more than three"	0.123449
"less than five"	0.12208
"less than two"	0.121757
"almost two"	0.119701
"nearly four"	0.119296
"up to five"	0.119144
"almost @@@"	0.114949
"nearly three"	0.113392
Fifteen	0.112196
"four to five"	0.110111
"about @@ to @@"	0.109566
"over six"	0.108145
"more than seven"	0.108104
"first five"	0.107857
"two to three"	0.106323
"More than nine"	0.105758
"about nine"	0.103861
"close to @@@"	0.103326
Twelve	0.0989077
twenty	0.0984949
"up to eight"	0.0980883
"more than four"	0.0966272
"another four"	0.0964386
"seven to @@"	0.0963315
"nearly @@,@@@"	0.0957489
"about @.@"	0.0955998
Fifty	0.0943802
"roughly @@"	0.0942497
"about @"	0.0941314
"up to four"	0.0927845
"Two hundred"	0.0921656
"three to four"	0.0908023
eighty	0.0905502
"six to @@"	0.0902703
"four to six"	0.0894656
"roughly @@@"	0.0889206
"Another two"	0.0888362
"about @@.@ million"	0.088752
Thirty-nine	0.0880591
"more than @@"	0.0879044
"less than @,@@@"	0.0878841
Fourteen	0.087588
"up to @@"	0.0871748
"nearly @@"	0.0864761
Thirty	0.0861723
"over @,@@@"	0.0860976
"first eight"	0.08582
Forty-seven	0.0856546
"up to @,@@@"	0.0849726
"over two"	0.0848539
"nearly @,@@@"	0.0847757
Sixteen	0.0847033
"five to @@"	0.0842516
Eighteen	0.0842382
"another seven"	0.084116
"first nine"	0.083852
forty	0.0838413
"about @@@"	0.0834695
"close to @@"	0.0833741
"less than @@@"	0.083286
"six to eight"	0.0831119
"over @@,@@@"	0.0829953
"first @@@"	0.0829518
"almost @@"	0.0829215
"up to two"	0.0825745
"almost @@@,@@@"	0.0821234
"roughly @,@@@"	0.0820319
"another @@"	0.0820174
"more than @,@@@"	0.0818551
"almost @,@@@"	0.08176
"nearly @@@,@@@"	0.0816612
"Seven million"	0.0810207
"almost @"	0.0804636
Eleven	0.0804266
"Three hundred"	0.0801523
"over @@@,@@@"	0.0789654
Thirty-eight	0.0789328
Thirty-three	0.0787702
"About one"	0.0785526
"three to five"	0.0785273
"eight to @@"	0.0785002
"over three"	0.0778349
"close to @,@@@"	0.0776229
"About @,@@@"	0.0775505
Forty-four	0.0772402
"more than @@,@@@"	0.0765723
"another @"	0.0759332
"nearly @@@"	0.0754863
"over @@@"	0.0754666
"Another eight"	0.0751309
"two to four"	0.0746897
"up to @@,@@@"	0.074545
"over @@"	0.0742469
"less than @@"	0.0740697
"more than @@@"	0.0735578
"about @@,@@@"	0.0734664
Nineteen	0.0732674
"about @.@ million"	0.0732241
"more than one million"	0.0731323
"three million"	0.0721699
Thirty-five	0.0720197
"more than @"	0.0716968
"more than one"	0.0715619
Thirteen	0.0714105
"nearly one million"	0.0712802
"up to @@@"	0.0712347
"over @"	0.0709984
Forty-five	0.0706943
"more than @.@@ million"	0.0704162
slain	0.0703132
"over five"	0.0702418
"first @@"	0.0697745
"over four"	0.0695556
"six million"	0.0694326
"close to @@,@@@"	0.0692554
"up to six"	0.0692188
"ten thousand"	0.0691353
"another nine"	0.0690267
"up to @"	0.0686837
"more than @@@,@@@"	0.0684396
"about @@@,@@@"	0.0683093
"half a dozen"	0.0682727
"up to seven"	0.0680586
"over seven"	0.0680167
Thirty-two	0.0677261
"other four"	0.0676483
"Nearly @.@ million"	0.0675886
Thirty-one	0.0675303
"more than @@ million"	0.0672767
"two dozen"	0.067134
"about @@ million"	0.0667199
"Two and three"	0.0666399
"Other @@"	0.0661797
"More than @.@ million"	0.0658496
"next @@"	0.0656518
Younger	0.0653554
"another five"	0.0652131
Thirty-six	0.0647052
"Less than one"	0.0646441
"first seven"	0.0644631
Thirty-four	0.0642936
"first three"	0.0637331
"another three"	0.063693
"two million"	0.0636863
twenty-six	0.0636396
"One Million"	0.0635132
"other two"	0.0632497
Bessette	0.063128
"over @.@@ million"	0.0629494
"almost one"	0.062575
Fifty-five	0.0618667
"five million"	0.0618063
"about @@@ to @@@"	0.0617339
"another @@,@@@"	0.061653
"two pitchers"	0.0616228
"about @ million"	0.0614491
"Kosovar Albanian"	0.0611787
"first four"	0.0608142
"about @@-@@"	0.0606342
"more than @ billion"	0.0602898
"Over one million"	0.0600505
"About @ billion"	0.0595803
"nearly @@ million"	0.059531
"Four million"	0.0588807
"more than @@@ million"	0.0588693
"About @.@@ million"	0.0587183
"up to @@ million"	0.0586396
"over @.@ million"	0.0584735
"up to @@@,@@@"	0.0583528
"another @@@,@@@"	0.0581289
"roughly @@,@@@"	0.0579703
Sykes	0.0576724
"about @@@ million"	0.0573945
"other @@@"	0.0573216
"almost @@,@@@"	0.0572557
"Israeli Arab"	0.0571575
"More than three million"	0.0568864
Okinawan	0.0568339
"about @@ inches"	0.0566427
"mentally retarded"	0.0566134
"other three"	0.0565496
"first six"	0.0564877
"nine million"	0.0564483
"more than @ million"	0.056166
"almost @@ million"	0.0558624
Amish	0.0549309
"next five"	0.0549017
))
("about five hours" (desc 1212.34) (sims
"about four hours"	0.197627
"about @ @/@ hours"	0.16754
"about three hours"	0.167169
"about @@ hours"	0.161872
"about six hours"	0.161733
"over @@ hours"	0.149213
"nine hours"	0.140047
"nearly four hours"	0.139816
"about one hour"	0.137445
"more than two hours"	0.132092
"about two hours"	0.130461
"nearly @@ hours"	0.129034
"five hours"	0.128886
"more than five hours"	0.126729
"more than @@ hours"	0.119631
"over @@ minutes"	0.119536
"eight hours"	0.117253
"a few hours"	0.115456
"more than four hours"	0.115227
"almost two hours"	0.113074
"more than three hours"	0.11224
"nearly three weeks"	0.103919
"nearly two hours"	0.102935
"seven hours"	0.102258
"nearly three hours"	0.0999258
"over @@ years ago"	0.0965214
"about three weeks"	0.0940128
"nearly two weeks"	0.0932982
"less than two hours"	0.0870816
"over two hours"	0.085583
"four hours"	0.0840155
"over three days"	0.080019
"nearly @@ minutes"	0.0749287
"Five days ago"	0.0739423
"more than @@ minutes"	0.0738998
"about four years"	0.0735811
"less than @@ minutes"	0.0710478
"more than three weeks"	0.0710405
"summers ago"	0.0699714
"nine days ago"	0.0691126
"more than six years"	0.0689956
"six hours"	0.0682977
"four months ago"	0.0674123
"up to three months"	0.0662976
"about @@ days"	0.0659957
"seven weeks"	0.0654141
"eight days"	0.0637848
"six to eight weeks"	0.0637367
"five weeks ago"	0.0625175
"up to @@ minutes"	0.0613598
"up to six months"	0.0608456
"two nights"	0.0607825
"almost two decades"	0.0607706
"another @@ minutes"	0.0604992
"over two days"	0.0600764
"Ten minutes"	0.0600676
"nearly two decades"	0.0580277
"more than two months"	0.0568532
"about three months"	0.0565713
"about five minutes"	0.0565206
"last four days"	0.0564633
"about six weeks"	0.0557393
"one weekend"	0.0550322
"about @@ to @@ minutes"	0.0533066
"four to six weeks"	0.0526667
"more than @@ months"	0.0521972
"more than three years ago"	0.0519459
"over two months"	0.0516565
"nearly three months"	0.050988
"more than four months"	0.0508085
"more than three months"	0.0505268
"three nights"	0.050122
"up to two years"	0.0499425
"less than @@ hours"	0.0498634
"almost three decades"	0.0497584
"seventh day"	0.0497093
"about two minutes"	0.049426
"nine weeks"	0.0491762
"about five years"	0.0487101
"nearly three years"	0.0485656
"about six months"	0.0483461
"about two weeks ago"	0.047739
"eight weeks"	0.0476117
"about @@ months"	0.046863
"more than @,@@@ years"	0.0466007
"five to @@ years"	0.0463727
"about two years"	0.0462902
"about two months ago"	0.0456034
"less than five minutes"	0.0455242
"more than one year"	0.0454645
"first five days"	0.0448943
"up to @@ months"	0.0444032
"nearly two months"	0.0436381
"three to six months"	0.0427139
"over six years"	0.0427088
"next @@ minutes"	0.0426608
"four days ago"	0.0425528
"another @@ days"	0.0424268
"nine months ago"	0.0422576
"four nights"	0.0420535
"nearly two decades ago"	0.0406506
"more than @@ days"	0.0403724
))
("about five miles" (desc 3207.98) (sims
"about four miles"	0.275628
"about six miles"	0.267336
"about @ miles"	0.252895
"eight kilometers"	0.246676
"five kilometers"	0.245961
"a few kilometers"	0.240497
"about two miles"	0.238043
"five miles"	0.218179
"six kilometers"	0.217805
"seven miles"	0.217144
"four miles"	0.211502
"eight miles"	0.209756
"three kilometers"	0.204278
"about @@@ km"	0.202197
"about @@ km"	0.197188
"six miles"	0.192779
"four kilometers"	0.192014
"about @@ miles"	0.189625
"about three miles"	0.189212
"nine miles"	0.184842
"about @@ kilometers"	0.180514
"two miles"	0.178982
"more than @@ miles"	0.166011
"less than @@ miles"	0.165563
"a few miles"	0.160873
"one mile"	0.15996
"about @@@ miles"	0.157514
"three miles"	0.153972
"about @@@ meters"	0.151137
"about @,@@@ kilometers"	0.148894
"about @@@ kilometers"	0.148757
"about @,@@@ miles"	0.145874
"Nearly @@@ miles"	0.142581
"two kilometers"	0.13972
"more than @@@ miles"	0.13783
"hundred miles"	0.137515
"hundred yards"	0.136627
"about @@@ yards"	0.130236
"one kilometer"	0.129858
"more than @@@ kilometers"	0.128973
"about one kilometer"	0.126481
"a few meters"	0.119496
"a few yards"	0.112754
"half mile"	0.108805
"over @@@ kilometers"	0.105644
"quarter mile"	0.100595
"a few hundred yards"	0.0972879
"more than @,@@@ miles"	0.0919556
"about @@ meters"	0.0840662
"about @@ yards"	0.0837406
"about two hours"	0.0747141
"Delaware River"	0.0703307
frontlines	0.0618441
"up to @@ miles"	0.0568711
"about three hours"	0.0547553
foothill	0.0545
"state highway"	0.0523957
"Interstate @"	0.0513261
"Highway @@"	0.0506263
Lightyear	0.0504404
"New Territories"	0.0494624
upriver	0.0492708
Drenica	0.0490271
"Highway @@@"	0.0489038
"coastal plain"	0.0485354
"south southwest"	0.0483656
"Missouri River"	0.0471676
"two meters"	0.0459876
"pirate ship"	0.04491
"Antelope Valley"	0.0445863
"east southeast"	0.0445006
freebie	0.0441201
downriver	0.0436038
"east northeast"	0.0435492
"Hudson River"	0.0430689
Bichette	0.0428134
"Potomac River"	0.0427244
"about @@ degrees"	0.0422303
"Ohio River"	0.042198
houseplant	0.0415395
"Route @"	0.041445
"west southwest"	0.0405118
))
("about five minutes" (desc 3269.4) (sims
"about two minutes"	0.220024
"nearly @@ minutes"	0.194541
"about @@ minutes"	0.177919
"a few minutes"	0.173464
"more than @@ minutes"	0.172779
"another @@ minutes"	0.162921
"over @@ minutes"	0.156535
"more than two hours"	0.153032
"more than three hours"	0.142275
"about three hours"	0.140875
"about two hours"	0.137004
"another two weeks"	0.131119
"five minutes"	0.127539
"about @@ to @@ minutes"	0.125884
"about four hours"	0.123731
"more than four hours"	0.12288
"over two hours"	0.118282
"seven weeks"	0.117578
"about @@ hours"	0.116992
"less than five minutes"	0.116158
"eight minutes"	0.114235
"over @@ hours"	0.112616
"two minutes"	0.111591
"about one hour"	0.109965
"two hours"	0.10947
"nearly two hours"	0.109317
"about @ @/@ hours"	0.108888
"up to @@ minutes"	0.108249
"nearly @@ hours"	0.107881
"less than @@ minutes"	0.10704
"another @@ years"	0.10669
"more than five hours"	0.105158
"about @ hours"	0.104505
"seven hours"	0.103689
"a few hours"	0.103367
"more than five minutes"	0.101569
"about six hours"	0.10129
"three minutes"	0.100917
"less than three minutes"	0.0994493
"up to three months"	0.0991841
"about two months"	0.0986919
"seven minutes"	0.0969992
"six to eight weeks"	0.0964548
"about three months"	0.0958954
"six minutes"	0.0952959
"about six weeks"	0.0952608
"about four years"	0.094022
"Four minutes"	0.0906338
"nine hours"	0.0900263
"five weeks"	0.0895449
"a few months"	0.0872791
"another two years"	0.0870553
"nine days"	0.0867244
"six weeks"	0.0858585
"more than @@ hours"	0.0857203
"more than two years"	0.0855191
"less than two minutes"	0.0854787
"three hours"	0.0854066
"five months"	0.0845049
"more than three months"	0.0840611
"three weeks"	0.0839517
"one hour"	0.0833673
"four weeks"	0.0830208
"Less than two weeks"	0.0823631
"four hours"	0.082155
"eight days"	0.0820064
"nine minutes"	0.0817568
"five hours"	0.0812568
"almost two hours"	0.0812002
"about three years"	0.0802892
"about two weeks"	0.0801065
"about @@ months"	0.0798231
"about six months"	0.0795402
"another @@ days"	0.0790624
"up to six months"	0.0788276
"about @@ years"	0.0787286
"more than six years"	0.0783856
"about two years"	0.0782788
"six days"	0.0772622
"up to two years"	0.0769858
"six hours"	0.076769
"four to six weeks"	0.0764941
"seven months"	0.0764437
"a few weeks"	0.0762193
"about @ minutes"	0.0761631
"another four years"	0.0760783
"another six months"	0.0759732
"about @@ days"	0.0749595
"one month"	0.0741655
"nearly two months"	0.0739398
"eight hours"	0.0738212
"two to three weeks"	0.0737184
"about @ minute"	0.0735656
"about three weeks"	0.0733767
"a few days"	0.0725253
"five days"	0.0723089
"more than @@ days"	0.0720015
"four days"	0.0719908
"almost two decades"	0.0713228
"about @ hour"	0.0708492
"more than one year"	0.0705796
"nearly four hours"	0.0696199
"more than three weeks"	0.0691538
"a few years"	0.0689054
"up to @@ hours"	0.0679598
"ten days"	0.0672332
"three to six months"	0.0671787
"more than @,@@@ years"	0.0670822
"Ten minutes"	0.0669165
"eight months"	0.0661265
"another five years"	0.0657025
"one week"	0.0650085
"three to five years"	0.064796
"nearly three years"	0.0647907
"one minute"	0.0642541
"eight weeks"	0.0635246
"more than two weeks"	0.06321
"over two years"	0.0627133
"more than @@ years"	0.062576
"more than six months"	0.0625407
"less than @@ hours"	0.0620027
"over @@ years ago"	0.0610318
"up to three years"	0.0601019
"up to @@ months"	0.0598761
"nearly three hours"	0.0595624
"almost two months"	0.0591751
"another @@ months"	0.0590343
"up to @@ days"	0.0578026
"seven days"	0.0575289
"one weekend"	0.0571322
"nearly five years"	0.0570662
"nine years"	0.0567418
"about five hours"	0.0565206
"nearly two weeks"	0.056473
"nine months"	0.0562152
"four months"	0.0560988
"two nights"	0.0557946
"two to three years"	0.0555839
"more than three years"	0.0553455
"less than two hours"	0.055068
"more than @@ months"	0.054572
"up to two weeks"	0.054164
"more than five years"	0.0539249
"almost @@ years"	0.0535817
"nine weeks"	0.0530657
"more than two months"	0.0530209
"nearly six years"	0.0528538
"more than four years"	0.051916
"more than three decades"	0.0489499
"more than eight years"	0.0457583
"Five months ago"	0.045626
"over six months"	0.0445456
"short time"	0.0429939
"nearly three weeks"	0.0429925
"over @@ months"	0.0429839
"ten years"	0.0426613
"next @@ minutes"	0.0426106
"almost three years"	0.0423777
"days ago"	0.0414563
"last two months"	0.0410865
"over @@@ years"	0.0409945
"three decades"	0.0409682
"nearly two years"	0.040412
))
("about five percent" (desc 1239.49) (sims
"about two percent"	0.276766
"about three percent"	0.232154
"about four percent"	0.230309
"about one percent"	0.224117
"About @@ per cent"	0.223037
"more than @.@ percent"	0.21473
"less than five percent"	0.20524
"About @@.@ percent"	0.203155
"about @.@@ percent"	0.203146
"less than one percent"	0.196767
"more than one-fourth"	0.194106
"ten percent"	0.194007
"one sixth"	0.192038
"nearly one-fourth"	0.189139
one-seventh	0.188466
"less than @.@ percent"	0.186517
"nearly one third"	0.185181
"one tenth"	0.184067
one-fifth	0.18281
"over two-thirds"	0.181491
"about @.@ percent"	0.18098
"eight percent"	0.17981
Four-fifths	0.178509
"more than one-fifth"	0.177049
"nearly one-third"	0.176412
"roughly two-thirds"	0.176365
"nearly two-thirds"	0.175769
"about one-fourth"	0.171667
two-fifths	0.170727
"Twenty percent"	0.169865
"nine percent"	0.168739
"about @ percent"	0.168211
"six percent"	0.167513
one-fourth	0.16686
"More than one third"	0.166057
"roughly one-third"	0.165927
"seven percent"	0.163843
"More than two-thirds"	0.163123
"almost one-third"	0.162447
"two percent"	0.1594
"one percent"	0.157303
"about one quarter"	0.156248
"one fifth"	0.155871
"nearly one-fifth"	0.155322
"about one third"	0.155236
"four percent"	0.153716
"one third"	0.153402
"More than one-third"	0.153337
"about one-third"	0.151849
"five percent"	0.14866
"about one-quarter"	0.148288
"three percent"	0.147106
"almost two-thirds"	0.145233
"about one-fifth"	0.144565
"More than three quarters"	0.143347
one-tenth	0.139887
thirds	0.137343
"About three quarters"	0.136591
one-sixth	0.136279
one-third	0.134816
"More than three-quarters"	0.133557
"over one third"	0.131536
percent	0.129987
"about one-tenth"	0.129243
"about three-fourths"	0.127701
tenth	0.126783
"over one-third"	0.122776
"about three-quarters"	0.120478
"less than one-third"	0.117038
"nearly @@ points"	0.116941
three-fifths	0.112719
one-eighth	0.110252
"one quarter"	0.109994
fifths	0.109315
"about two-thirds"	0.108777
two-third	0.106514
"Forty percent"	0.105996
"Eighty percent"	0.105185
three-fourths	0.101267
"more than three-fourths"	0.100949
fraction	0.100598
one-quarter	0.10034
two-thirds	0.0994789
"about @@@ percent"	0.0992986
"Twenty-five percent"	0.09667
"over @@.@ percent"	0.0955078
"Thirty percent"	0.0954388
three-quarters	0.094846
"almost @"	0.0931962
"Seventy-five percent"	0.0924652
"Ninety percent"	0.0893797
"representative sample"	0.0886968
"Fifteen percent"	0.0884094
"Sixty-five percent"	0.087999
two-tenths	0.0878623
"another @.@ percent"	0.087558
"Seventy percent"	0.0855961
"almost @@"	0.0842593
Pct	0.0832098
"more than @@ billion yuan"	0.0820222
"about @@,@@@ acres"	0.0812073
one-half	0.0761743
"up to @.@ percent"	0.0761696
"Almost three-quarters"	0.0759965
"Ninety-five percent"	0.0758443
"one cent"	0.0737665
"Sixty percent"	0.0727088
"about @@@ points"	0.0726007
"Fifty percent"	0.0713609
"about $@.@ billion"	0.0702773
tabulation	0.0699478
"up to @@.@ percent"	0.0698948
"three quarters"	0.0694771
"nearly @"	0.0673234
year-on-year	0.0672638
"about $@@ billion"	0.0670147
"random sample"	0.0667457
"about @@ points"	0.0666411
"One hundred percent"	0.0664098
"More than @.@ million"	0.0655501
"about $@ billion"	0.0652832
nine-tenths	0.0649529
"nearly $@"	0.064189
"Nearly three-quarters"	0.06376
dispersion	0.0636702
"roughly @@"	0.0633308
reseller	0.0623078
"nearly $@@@ billion"	0.0622433
centavo	0.0622059
"about $@ million"	0.0617834
"more than @ billion dollars"	0.0604436
"more than @ million"	0.0601079
"more than @@@ million tons"	0.0598534
"another third"	0.0588595
"over @@ points"	0.0587051
bpd	0.0586243
doubling	0.0584122
reallocation	0.0584037
"about @@@,@@@ tons"	0.0565066
"up to @@ million"	0.0563784
half-dozen	0.056369
"more than @"	0.0562233
"about $@@@ billion"	0.0560168
"almost @@@"	0.0552556
"one dollar"	0.0552139
"about @@@ million dollars"	0.0550797
"Ninety-nine percent"	0.0537526
"last two digits"	0.05374
"about @.@ million tons"	0.0529621
subset	0.0529555
"more than @,@@@ acres"	0.0528276
"over $@@@ million"	0.0526804
"About @@,@@@ hectares"	0.0524415
"about @ billion dollars"	0.05212
"about @@ to @@"	0.0518951
zillion	0.0516844
"about $@.@ trillion"	0.051653
"about @@@ acres"	0.0514743
"nearly @@ million"	0.0512601
"about @@.@ million dollars"	0.0512391
narrowest	0.0510831
"more than @ million tons"	0.0508516
"about @,@@@ acres"	0.0499686
"good part"	0.0496514
"close to @@"	0.049548
"over $@@ billion"	0.0492413
"Eighty-five percent"	0.0492201
slowest	0.0491625
"more than @@ points"	0.0491312
VND	0.048732
tenths	0.0484569
"about @.@ million"	0.04816
overabundance	0.0477279
"more than @@.@ billion yuan"	0.0476443
"more than @.@ billion yuan"	0.047507
pittance	0.047472
"about @ million"	0.0473169
"over @@@ points"	0.0472996
"over @@@ tons"	0.0471831
"almost $@@ billion"	0.0471737
"minority stake"	0.0470119
"nearly $@@ million"	0.0469325
divestment	0.046915
"basis point"	0.0468675
"about @@@,@@@ hectares"	0.0466643
"nearly @@@ points"	0.0466531
receipts	0.0461752
ex-mayor	0.0459902
"two units"	0.0459813
"two cents"	0.0458866
added-value	0.0458715
eight-tenths	0.0458277
"more than @@,@@@ yuan"	0.0458115
"more than @@ tons"	0.0457561
"less than @"	0.0456902
"Over @@@ Million Dollars"	0.0456675
tripling	0.0454588
"more than @@@,@@@ hectares"	0.0453908
enumeration	0.0453867
"million yuan"	0.0452616
))
("about five times" (desc 1495.32) (sims
"about @@@ times"	0.189848
"more than three times"	0.174371
"nearly three times"	0.174294
"about @@ times"	0.173708
"more than four times"	0.169016
"almost three times"	0.15717
"eight times"	0.149559
"six times"	0.148995
"four times"	0.147373
"nearly @@ times"	0.140096
"more than @@ times"	0.132386
"more than five times"	0.128782
"about three times"	0.127972
"two times"	0.125429
"Five times"	0.118865
"seven times"	0.117068
"three times"	0.114438
"over six years"	0.113217
"up to @@ times"	0.109676
"two to three times"	0.107586
"over four years"	0.0826425
"over three years"	0.0819027
"From January to March"	0.0801969
"From January to June"	0.077705
"nine times"	0.0758252
"from January to May"	0.0746189
"one week ago"	0.0735516
"billion over @@ years"	0.0714621
"more than @@@ times"	0.0697449
"about four times"	0.0673263
"over five years"	0.066217
"ten times"	0.0646876
"eight days ago"	0.0643623
"from January to September"	0.0623901
"half time"	0.062048
"about six months"	0.0604865
"over seven years"	0.0600485
"over @@ years"	0.0597837
"three days ago"	0.0595362
"over two years"	0.0562509
helluva	0.0534132
"over @@ hours"	0.0533976
"three nights"	0.0516026
"less than two hours"	0.0515689
"Nihon Keizai"	0.0507305
"Ten minutes"	0.0506185
"throwing away"	0.0505937
"over @@ months"	0.0494851
"Over three decades"	0.0490433
"million over five years"	0.0453139
"Business Day"	0.0439933
"nine years ago"	0.0428608
"ten days"	0.0426358
"about one hour"	0.0420905
"about @@ hours"	0.0401281
"about six weeks"	0.0400638
))
("about five years" (desc 2757.83) (sims
"about four years"	0.141081
"about two years"	0.132606
"about three years"	0.130736
"about @@ years"	0.11436
"about @@ months"	0.112095
"a few years"	0.0985429
"about three months"	0.0959671
"more than five years"	0.0933345
"two to three years"	0.092911
"another two years"	0.0925023
"about six months"	0.091585
"nine years"	0.0912031
"another five years"	0.0903877
"more than @@ years"	0.0871051
"almost @@ years"	0.0867542
"nearly @@ hours"	0.0828567
"nearly three years"	0.0811802
"up to five years"	0.0806613
"seven years"	0.0794032
"eight years"	0.0781915
"six to eight weeks"	0.0777995
"about three weeks"	0.0774902
"up to three months"	0.0757394
"about two months"	0.0737315
"nearly four years"	0.0728861
"nearly @@ years"	0.0723197
"another @@ months"	0.0722195
"four to six weeks"	0.0713865
"more than three years"	0.0711542
"a few months"	0.0706507
"a few weeks"	0.0703848
"more than two years"	0.0701447
"more than three months"	0.0699151
"nine months"	0.0694522
"almost four years"	0.0688858
"nearly @@ months"	0.0683485
"three to five years"	0.0683293
"more than @,@@@ years"	0.0681551
"more than six years"	0.0680922
"up to @@ years"	0.0679148
"more than six months"	0.0679057
"almost three years"	0.0674552
"another @@ years"	0.0674491
"up to two years"	0.0674123
"nearly five years"	0.0656596
"over two hours"	0.0655865
"nearly two years"	0.0629717
"five months"	0.0624674
"another six months"	0.0610843
"more than @@ hours"	0.0608328
"more than four years"	0.0603753
"about @@ days"	0.0597922
"three to six months"	0.0592905
"almost three decades"	0.0590835
"two decades"	0.058773
"a few hours"	0.0585315
"over @@ years"	0.0584188
"four decades"	0.0572893
"ten years"	0.0570657
"about three hours"	0.057034
"less than three years"	0.0569233
"three hours"	0.0568051
"about four hours"	0.0563838
"eight months"	0.0560444
"less than two years"	0.0555413
"about two minutes"	0.0553659
"up to @@ days"	0.0551644
"up to @@ hours"	0.0550706
"more than two decades"	0.054915
"up to six months"	0.0548053
"about two weeks"	0.054716
"more than @@ minutes"	0.0544814
"another four years"	0.0540137
"six decades"	0.0532384
"seven weeks"	0.052817
"nearly six years"	0.0520969
"two to three weeks"	0.051905
"more than four months"	0.0516711
"more than @@@ years"	0.0515474
"over @@ hours"	0.0514683
"more than four hours"	0.0512782
"about six weeks"	0.0510007
"nearly two hours"	0.0509203
"more than two months"	0.050747
"more than seven years"	0.0505733
"almost two decades"	0.050119
"one week"	0.0500797
"five hours"	0.0499198
"up to @@ minutes"	0.0495646
"another three years"	0.0495563
"about two hours"	0.0489243
"about five hours"	0.0487101
"six hours"	0.0484277
"from @@@@-@@@@"	0.0481577
"another two weeks"	0.0479443
"nine hours"	0.0474639
"about one hour"	0.0470588
"about six hours"	0.0469492
"seven years ago"	0.0468236
"three decades"	0.0453565
"four weeks"	0.0453552
"nearly two months"	0.0453466
"eight hours"	0.0453349
"more than two weeks"	0.0452937
"six days"	0.0443309
"more than three hours"	0.0442154
"March, @@@@"	0.044044
"up to @@ months"	0.043969
"over @@ minutes"	0.0438144
"next two days"	0.0433775
"nearly @@ minutes"	0.0432257
"next six months"	0.042913
"more than @@ months"	0.0429056
"more than three decades"	0.042855
"next four years"	0.0426885
"more than four decades"	0.0424618
"nearly four decades"	0.042437
"nearly two weeks"	0.0423563
"a few decades"	0.0421207
"over two months"	0.0418254
"seven months"	0.0417835
"three decades ago"	0.0415263
"almost two years"	0.0415093
"eight weeks"	0.0414024
"less than @@ years"	0.0409005
"more than one year"	0.040793
"another @@ days"	0.0407776
"more than @@ days"	0.0407504
))
("about five years ago" (desc 1167.37) (sims
"about four years ago"	0.247326
"about @@ years ago"	0.242849
"about two years ago"	0.232858
"over @@ years ago"	0.21439
"nine months ago"	0.207698
"more than @@ years ago"	0.203527
"about three years ago"	0.197279
"eight months ago"	0.187588
"seven months ago"	0.187224
"seven years ago"	0.184685
"decades ago"	0.182283
"more than two years ago"	0.178501
"six years ago"	0.177514
"nearly two years ago"	0.17702
"five years ago"	0.175618
"three years ago"	0.173039
"almost @@ years ago"	0.168974
"Five months ago"	0.168751
"less than two years ago"	0.164666
"nine years ago"	0.163291
"six months ago"	0.162012
"a few months ago"	0.16044
"eight years ago"	0.154461
"seasons ago"	0.151572
"nearly three years ago"	0.147684
"more than two decades ago"	0.147665
"about @,@@@ years ago"	0.147398
"about two weeks ago"	0.143149
"four months ago"	0.142821
"about @@ months ago"	0.140531
"four years ago"	0.138606
"a few years ago"	0.138504
"more than @@@ years ago"	0.13766
"three months ago"	0.13463
"months ago"	0.13244
"nearly @@ years ago"	0.131377
"two years ago"	0.129772
"about three weeks ago"	0.12837
"two months ago"	0.119311
"Ten years ago"	0.119121
"six weeks ago"	0.118793
"nearly two decades ago"	0.116934
"four decades ago"	0.116125
"years ago"	0.112794
"three weeks ago"	0.110231
"time ago"	0.10886
"one year ago"	0.106927
"Five days ago"	0.104385
"two decades ago"	0.103491
"more than @,@@@ years ago"	0.102326
"four weeks ago"	0.100646
"decade ago"	0.0939208
"a few weeks ago"	0.0922743
"five weeks ago"	0.0901108
"two weeks ago"	0.0870573
"about two months ago"	0.085632
"eighth year"	0.0855029
"three days ago"	0.0839349
"one night"	0.0820256
"more than three years ago"	0.0803678
"four days ago"	0.080002
"three decades ago"	0.0784983
"days ago"	0.075717
"six days ago"	0.0729319
"right here"	0.06811
"one weekend"	0.0645828
"Sunday, Oct @@"	0.0608793
"summers ago"	0.0604491
"weeks ago"	0.0603648
"second month"	0.0597046
"Sunday, May @@"	0.0580669
"Aug. @."	0.0556907
"one week ago"	0.0549332
"fifth day"	0.054849
"two days ago"	0.052894
"nine days ago"	0.052851
"Saturday, June @@"	0.0522119
"Friday, Sept @@"	0.0520517
"Saturday, July @@"	0.0518786
eight-day	0.0514232
"Tuesday, Sept @@"	0.0502858
"sixth year"	0.0501529
"two times"	0.0499466
"nearly two weeks ago"	0.0484876
"a few days ago"	0.0479525
"Feb. @."	0.0476378
"two centuries ago"	0.0476308
"one month ago"	0.0469276
"seventh year"	0.0448491
"from January to September"	0.0445805
masse	0.0437316
"Nov @@-@@"	0.0411816
"nine times"	0.0409501
"over three years"	0.0409488
"about six hours"	0.0404334
"Thursday, June @@"	0.0401649
"less than @@ hours"	0.0400135
))
("about four" (desc 6083.28) (sims
"about six"	0.264867
"nearly three"	0.223363
"about three"	0.218785
"about two"	0.202838
"nearly four"	0.189459
"Nearly two"	0.183624
"about five"	0.179605
"more than six"	0.177262
"more than four"	0.172878
"about eight"	0.162216
"about seven"	0.158043
"Less than one"	0.147632
"More than two"	0.146643
"about @"	0.144785
"more than three"	0.140634
"About one"	0.137132
"nearly one"	0.132906
"More than nine"	0.13244
"almost one"	0.129246
"almost two"	0.128501
"roughly one"	0.124463
"more than five"	0.123456
"more than eight"	0.120713
"about nine"	0.117576
"up to three"	0.115781
"nearly @"	0.11017
"more than one"	0.107819
"about @@ to @@"	0.104789
"another four"	0.104023
"less than two"	0.103042
"about @@"	0.101757
"two to three"	0.100831
"four to five"	0.0985436
"up to @,@@@"	0.0984409
"more than @"	0.0970926
"almost @,@@@"	0.0963149
"more than seven"	0.0945986
"about @ million"	0.0931444
"about @@.@ million"	0.0923553
"other @@@"	0.0905247
"almost @@@"	0.0898411
Fifteen	0.0898149
"less than @@@"	0.0895257
"less than five"	0.0894774
"up to two"	0.0892258
"nearly @@@,@@@"	0.088938
"about @.@"	0.0887307
"Another two"	0.0882517
Fifty	0.0876908
"eight to @@"	0.0873055
"nearly @@,@@@"	0.0867981
"five million"	0.0862604
"nearly @,@@@"	0.0856227
"up to four"	0.084039
"About @ billion"	0.0838384
Sixteen	0.083519
"up to @@"	0.0834426
"six million"	0.0822712
slain	0.0820613
"three million"	0.0809732
"eight million"	0.0809459
"roughly @@"	0.0806057
"up to five"	0.0802064
"about @@ million"	0.0800277
Thirty-five	0.0798472
"over @@,@@@"	0.0793108
Thirty	0.0792815
"about @@@"	0.0789958
"about @@@,@@@"	0.0789461
"More than three million"	0.0787827
"three to four"	0.0787301
"close to @,@@@"	0.0786028
"roughly @@@"	0.0778019
Twelve	0.0772765
"over @.@@ million"	0.0772744
"almost @"	0.0772485
"over @@@,@@@"	0.0772051
"more than @@ million"	0.0765534
"more than @@@ million"	0.0763716
"about @.@ million"	0.0760039
Thirty-eight	0.0759681
"up to @@@"	0.0759128
"another @"	0.0759044
"more than @@,@@@"	0.0758316
"almost @@ million"	0.0757904
"over @,@@@"	0.0757045
"more than @ million"	0.0754281
"About @,@@@"	0.0752443
"almost @@,@@@"	0.0751435
"nearly @@@"	0.0750092
"more than @@@,@@@"	0.0748485
"over three"	0.0744883
Thirteen	0.0743309
"two million"	0.0741316
"over @@ million"	0.0740476
"Four million"	0.0738176
"over @.@ million"	0.0737812
"two dozen"	0.073193
"One Million"	0.0728222
"up to @@ million"	0.0718637
"over two"	0.0712357
"half a dozen"	0.0712145
"Three and Four"	0.0706515
"nearly @@"	0.0705723
"over @@@"	0.070468
"over six"	0.0700743
"five to @@"	0.0699412
"more than @@"	0.0699293
nerdy	0.0698845
"Over one million"	0.0697107
"almost @@"	0.0695454
"more than @,@@@"	0.0693703
"about @@@ million"	0.0693391
"nearly @@ million"	0.06923
"first @@@"	0.0691817
"Nearly @.@ million"	0.0683527
"Two hundred"	0.0682074
"about @@,@@@"	0.0681696
"almost @@@,@@@"	0.0680317
"close to @@@"	0.0674144
"less than @@"	0.0672289
Thirty-nine	0.0671876
"About one million"	0.0671707
"another @@"	0.0670531
"up to @@,@@@"	0.0669959
"about @.@ billion"	0.0668162
"roughly @,@@@"	0.0662858
"up to @"	0.0660662
Amish	0.0656152
"over @@"	0.0654348
"six to eight"	0.0654251
"More than @.@ million"	0.0652328
"Seven million"	0.0651432
Thirty-three	0.0650092
"over five"	0.0649412
"nearly @ million"	0.0648001
twenty	0.0647194
"up to six"	0.064171
"more than @@@"	0.0640627
"more than @.@@ million"	0.0639777
"over @"	0.0634781
"less than @@,@@@"	0.0631283
"over four"	0.0630648
Nineteen	0.0628157
Okinawan	0.0626246
"three to five"	0.0624798
eighty	0.0620276
"seven to @@"	0.0620173
"up to @@@,@@@"	0.0618373
"ten thousand"	0.0615052
Eighteen	0.0615017
"less than @"	0.0613067
"nearly @@@ million"	0.0611567
"Over one"	0.0607192
"over @ million"	0.0606394
"close to @@,@@@"	0.0604383
Forty-seven	0.0595992
"first four"	0.0595589
Younger	0.0590154
"more than @ billion"	0.0589147
"up to eight"	0.0587006
"more than one million"	0.0586371
"Three billion"	0.058549
"over seven"	0.058285
seventy	0.0581726
"another @@@,@@@"	0.0578158
"close to @@"	0.0573102
"another three"	0.0572409
"Israeli Arab"	0.056987
highschool	0.056948
Fourteen	0.0563083
"four to six"	0.0561982
"Two and three"	0.0560189
Fifty-five	0.0559026
"another @@,@@@"	0.0555469
"two billion"	0.055359
"won @@@"	0.0553489
"roughly @@,@@@"	0.0551451
"six billion"	0.055043
"less than @,@@@"	0.0547969
"won four"	0.0546479
"another nine"	0.0546058
"about @@@ to @@@"	0.0541455
"Another eight"	0.0541243
Thirty-six	0.0538849
"Around @@@"	0.0537853
knucklehead	0.053619
streetwise	0.0535129
"up to one"	0.0532451
tilde	0.0530114
"About @.@@ million"	0.0527519
Twenty-three	0.0525013
"Three hundred"	0.0523404
penmanship	0.0523045
"over @@@ million"	0.0522557
"first five"	0.0520931
Camerounian	0.0520711
preteen	0.0517747
"nearly one million"	0.0516301
"first three"	0.0513741
))
("about four hours" (desc 2299.28) (sims
"about three hours"	0.242673
"about six hours"	0.240546
"more than three hours"	0.22112
"about two hours"	0.219967
"more than five hours"	0.201547
"about five hours"	0.197627
"more than two hours"	0.197446
"nine hours"	0.196972
"more than @@ hours"	0.19224
"about @@ hours"	0.187025
"about one hour"	0.182978
"nearly @@ hours"	0.179289
"five hours"	0.169483
"over @@ hours"	0.166306
"over two hours"	0.163961
"nearly four hours"	0.162869
"seven hours"	0.162447
"about two minutes"	0.162234
"six hours"	0.161167
"four hours"	0.153963
"eight hours"	0.152297
"about @ @/@ hours"	0.149951
"nearly two weeks"	0.139896
"less than two hours"	0.138232
"nearly two hours"	0.136537
"six days"	0.130821
"about @@ minutes"	0.128789
"nearly @@ minutes"	0.127175
"about five minutes"	0.123731
"three hours"	0.123501
"more than four hours"	0.122883
"two hours"	0.122455
"a few hours"	0.121797
"more than @@ days"	0.116414
"more than two months"	0.115261
"almost two hours"	0.11464
"eight days"	0.114382
"a few minutes"	0.114218
"more than three years"	0.111459
"nearly two months"	0.11109
"about three weeks"	0.109355
"five weeks"	0.107998
"seven days"	0.107851
"about four years"	0.107824
"about @@ months"	0.106273
"four days"	0.102864
"more than @@ minutes"	0.102744
"nearly three hours"	0.101744
"up to @@ hours"	0.101362
"about two months"	0.0997316
"about two weeks"	0.0970755
"one hour"	0.0968764
"up to three months"	0.0963289
"nine days"	0.0961173
"eight weeks"	0.0952482
"nearly three weeks"	0.0949996
"four weeks"	0.0942289
"two to three weeks"	0.0923528
"more than two years"	0.0921419
"about @ hours"	0.0917485
"more than three months"	0.0916289
"more than six years"	0.091222
"up to six months"	0.0903425
"eight months"	0.089089
"five days"	0.0884586
"less than @@ minutes"	0.0884016
"about three months"	0.0876877
"up to three years"	0.0871413
"up to @@ minutes"	0.0869976
"seven weeks"	0.0866842
"another @@ years"	0.0859684
"about six weeks"	0.0850133
"nine months"	0.0848035
"more than four years"	0.0844601
"more than one year"	0.0844356
"over two days"	0.0839029
"more than six months"	0.0833061
"more than five minutes"	0.0832802
"more than eight years"	0.0831188
"nine weeks"	0.0829383
"four months ago"	0.0810422
"three weeks"	0.0809252
"six to eight weeks"	0.0805032
"five months"	0.0791808
"about six months"	0.0787857
"another six months"	0.0776052
"nine years"	0.0768111
"more than three weeks"	0.0766341
"six weeks"	0.0761592
"two to three years"	0.0761038
"one month"	0.0751361
"another two weeks"	0.0745629
"more than @@ months"	0.073525
"almost two weeks"	0.0735161
"up to five years"	0.0731735
"about two years"	0.0729615
"over two months"	0.0729384
"one week"	0.0724723
"over three days"	0.0724438
"about @@ days"	0.0722657
"nearly five years"	0.0717021
"seven months"	0.0712194
"seven months ago"	0.0710458
"nearly three years"	0.0706096
"almost @@ years"	0.0703367
"nearly four years"	0.0699571
"nearly three months"	0.0689296
"four months"	0.068921
"over six years"	0.0688011
"four days ago"	0.0685316
"another @@ minutes"	0.0682595
"over two years"	0.0675598
"next @@ minutes"	0.0674084
"up to @@ days"	0.0671736
"Ten minutes"	0.0669265
"over five years"	0.0667881
"almost two decades"	0.0666078
"one night"	0.0661253
"last four days"	0.0648942
"over three years"	0.0648797
"about @@ to @@ minutes"	0.0648365
"four to six weeks"	0.0647591
"five minutes"	0.0635441
"nearly two years"	0.0625072
"another two years"	0.0621401
"about three years"	0.0620535
"nine days ago"	0.0620519
"ten years"	0.0620107
"seven years ago"	0.061715
"more than @,@@@ years"	0.0614752
"two nights"	0.059944
"more than five years"	0.0599259
"more than four months"	0.0595105
"three nights"	0.0586172
"over @@ minutes"	0.0584938
"two minutes"	0.0575029
"another @@ days"	0.0573565
"about three weeks ago"	0.0572563
"about five years"	0.0563838
"eight months ago"	0.0551788
"up to two years"	0.0549619
"Five days ago"	0.0548749
"three to five years"	0.0544209
"over @@ years ago"	0.0540362
"over @@ years"	0.0540075
"about @@ years"	0.053619
"time being"	0.0535729
"third day"	0.0535679
"one weekend"	0.0534011
"ten days"	0.0520665
"four nights"	0.0520409
"another three years"	0.0515724
"less than five minutes"	0.05155
"days ago"	0.0513676
"up to @@ years"	0.0513226
"another five years"	0.0512828
"three days ago"	0.0509196
"more than two decades"	0.0508402
"over @@ months"	0.0507716
"another @@ months"	0.050189
"more than three decades"	0.0498049
"two months ago"	0.0495703
"three to six months"	0.0494859
"five weeks ago"	0.0484475
"Five months ago"	0.048096
"less than two minutes"	0.0473391
"another four years"	0.0472835
"more than four decades"	0.0469696
"a few days ago"	0.0457584
"up to @@ months"	0.0452129
"first five days"	0.0447813
"almost three decades"	0.0439555
"months ago"	0.0438641
"more than two weeks"	0.0438516
"six years ago"	0.0434521
"nearly @@ months"	0.0429283
"eight minutes"	0.0428128
"almost four years"	0.042329
"a few decades"	0.0418216
"fifth day"	0.0416405
"six weeks ago"	0.0416318
"nearly two weeks ago"	0.0407857
"nearly six years"	0.040712
"sixth day"	0.0401693
"seven minutes"	0.0401539
))
("about four miles" (desc 1985.08) (sims
"about five miles"	0.275628
"about two miles"	0.247136
"five kilometers"	0.246384
"about @ miles"	0.230133
"four miles"	0.219379
"eight miles"	0.21376
"eight kilometers"	0.205917
"about three miles"	0.199936
"two miles"	0.196105
"three kilometers"	0.194223
"seven miles"	0.193462
"four kilometers"	0.192676
"less than @@ miles"	0.191727
"Nearly @@@ miles"	0.191012
"about @@@ km"	0.189122
"six kilometers"	0.18639
"about @@ km"	0.18015
"about six miles"	0.177721
"three miles"	0.173697
"five miles"	0.171008
"hundred miles"	0.170216
"a few kilometers"	0.169124
"nine miles"	0.168761
"six miles"	0.162727
"more than @@@ kilometers"	0.162442
"one mile"	0.161562
"more than @@ miles"	0.159169
"a few miles"	0.156068
"about @@@ yards"	0.142349
"about @@@ kilometers"	0.132299
"over @@@ kilometers"	0.128434
"about @@@ meters"	0.127821
"about @@ kilometers"	0.125708
"about @,@@@ kilometers"	0.12525
"a few yards"	0.124451
"about @@ miles"	0.122724
"half mile"	0.121492
"about @,@@@ miles"	0.119849
"two kilometers"	0.114116
"about @@@ miles"	0.11295
"more than @@@ miles"	0.109909
"a few hundred yards"	0.109264
"quarter mile"	0.104974
"more than @,@@@ miles"	0.099022
"a few meters"	0.0982378
"hundred yards"	0.0945241
"one kilometer"	0.0939926
"about @@ meters"	0.0866815
"about @@ yards"	0.0837218
"about one kilometer"	0.0768646
"pirate ship"	0.0665643
upriver	0.065938
"up to @@ miles"	0.0651574
"five meters"	0.0629413
"about two hours"	0.0628254
"New Territories"	0.0614558
"Appalachian Trail"	0.0609277
slapper	0.0606275
"single file"	0.0599617
one-timer	0.0597782
foothill	0.0597703
"state highway"	0.0568145
Drenica	0.0567077
"Ohio River"	0.0557817
"Highway @@"	0.0532423
uptown	0.0531344
"Highway @@@"	0.0529173
Inchon	0.0527277
"Fairfax County"	0.051597
frontlines	0.050066
"city block"	0.048506
"Georges Bank"	0.047885
"Matt Luke"	0.0477944
landfall	0.046353
motoring	0.0457366
"Interstate @"	0.0452506
houseplant	0.0450729
jut	0.0441415
"high wire"	0.0439482
"Potomac River"	0.0434406
"about three hours"	0.0433001
"Delaware River"	0.0431118
"Route @"	0.0423366
"Mojave Desert"	0.0423254
shoulder-to-shoulder	0.0420259
"state line"	0.0417383
"coastal plain"	0.0406563
"Lake Ontario"	0.0402755
))
("about four percent" (desc 1181.68) (sims
"about one percent"	0.258178
"about two percent"	0.254775
"about five percent"	0.230309
"about three percent"	0.21504
"about @.@@ percent"	0.213785
"ten percent"	0.202642
"one tenth"	0.200744
"one sixth"	0.197638
"less than one percent"	0.196647
"less than @.@ percent"	0.19036
"about @.@ percent"	0.177832
one-seventh	0.171982
"less than five percent"	0.171617
"two percent"	0.170198
"More than one third"	0.169908
"six percent"	0.169593
"eight percent"	0.164505
"almost one-third"	0.161821
"more than one-fourth"	0.161423
"seven percent"	0.160098
"three percent"	0.1558
"one percent"	0.153098
"four percent"	0.152717
"nine percent"	0.152454
"over one third"	0.151478
"nearly one-fourth"	0.149725
"about one-fourth"	0.148639
"about one quarter"	0.145284
"one fifth"	0.143815
"over one-third"	0.143563
"five percent"	0.142473
"roughly one-third"	0.14056
"nearly one-fifth"	0.139655
"nearly one third"	0.138462
"more than @.@ percent"	0.137529
one-fifth	0.137471
"about one-fifth"	0.133941
"about @ percent"	0.131001
one-tenth	0.1305
"nearly one-third"	0.129686
"About @@.@ percent"	0.124909
"about one-tenth"	0.121206
"more than one-fifth"	0.120428
"over two-thirds"	0.120313
"one third"	0.118536
"Twenty percent"	0.118304
two-fifths	0.117618
"About @@ per cent"	0.11474
"less than one-third"	0.114307
"more than three-fourths"	0.114092
"More than one-third"	0.11055
"over @@.@ percent"	0.110416
"roughly two-thirds"	0.10979
one-eighth	0.105839
thirds	0.102854
"More than three quarters"	0.102408
"about one third"	0.101613
"about one-third"	0.100901
"nearly two-thirds"	0.0998218
"close to @@"	0.0994075
one-sixth	0.098993
"about two-thirds"	0.0979569
tenth	0.09626
"less than @"	0.0961226
"about three-quarters"	0.0960038
"About three quarters"	0.0957677
"representative sample"	0.0957122
one-fourth	0.0951252
"up to @@.@ percent"	0.0946945
"almost two-thirds"	0.0935369
percent	0.0932662
"one quarter"	0.0922635
fifths	0.0904695
"up to @.@ percent"	0.0896632
two-third	0.0869249
"over @"	0.085901
Four-fifths	0.0843627
three-fourths	0.0837132
"about one-quarter"	0.0830759
three-fifths	0.0783701
"about three-fourths"	0.0780415
"nearly @@ points"	0.0774936
"Forty percent"	0.0766335
"More than three-quarters"	0.0749906
"More than two-thirds"	0.0743861
"Sixty-five percent"	0.0740205
one-quarter	0.0739793
"more than @@ points"	0.0711244
"Eighty-five percent"	0.0709436
two-tenths	0.0702928
"almost $@@ billion"	0.0676781
"over @@@@"	0.0673499
"almost @"	0.0671921
"about @@@ percent"	0.0666288
"Ninety percent"	0.0663669
"about @@ to @@"	0.0642136
"three quarters"	0.0634993
"almost @@"	0.0633003
"about @@ points"	0.0626727
"Sixty percent"	0.0620996
"more than @.@ billion dollars"	0.0620884
"Eighty percent"	0.0619639
"last two digits"	0.0600736
"Fifty-five percent"	0.0598395
"another @.@ percent"	0.0596907
underdevelopment	0.0591385
pfennig	0.059104
"basis point"	0.0587955
nine-tenths	0.0585466
"Ninety-five percent"	0.0583419
"random sample"	0.0582191
"Seventy-five percent"	0.0579408
"Seventy percent"	0.0572043
"up to @"	0.055824
"about @.@ billion dollars"	0.0558169
joint-ventures	0.0548529
enumeration	0.054243
"about @.@ million tons"	0.0541319
"retail price index"	0.053833
tripling	0.0531058
"more than @@@ billion yuan"	0.0523207
"nearly @"	0.0518291
"previous five years"	0.0515802
"Special Economic Zones"	0.0514871
"about @.@@ billion dollars"	0.0513192
"Sub-Saharan Africa"	0.0512281
"roughly one"	0.0512237
"foreign direct investment"	0.0505123
narrowest	0.0500753
"Over @@@ Million Dollars"	0.0490617
tenths	0.0490388
GNP	0.0481456
backwardness	0.0480943
shrinkage	0.0469464
splitting	0.0467944
"Nearly three-quarters"	0.0465682
"more than @@@ points"	0.0463984
"about @ billion dollars"	0.0463419
downgrading	0.0461637
mingling	0.0461328
"trillion dollars"	0.0456583
"one billion dollars"	0.0450263
doubling	0.0449312
"about @@@ million dollars"	0.0447889
"Thirty percent"	0.0443891
tabulation	0.0442887
dollars-worth	0.0438808
"nearly $@@@ billion"	0.0437717
cost-effectiveness	0.0435405
"Twenty-five percent"	0.0434631
"about @@@ points"	0.0434386
"test-tube baby"	0.0433276
maneuvering	0.0432519
co-head	0.0430906
"about @@.@ million dollars"	0.0428985
dispersion	0.0428107
subset	0.0426961
splintering	0.0424854
"another third"	0.042442
recidivism	0.0424088
"Ninety-nine percent"	0.0422302
"roughly @@"	0.0421908
"a few thousand dollars"	0.0417765
"one billion yuan"	0.0417548
"over $@@ billion"	0.0416228
"Almost three-quarters"	0.0414755
"cubic meter"	0.0409782
de-escalation	0.0408193
T-bonds	0.0405502
emitter	0.0405147
thousandth	0.0404206
MIAs	0.0403015
"personal income"	0.040198
"cancer death"	0.0401754
smidgen	0.0400707
))
("about four times" (desc 1112.25) (sims
"more than five times"	0.275995
"more than three times"	0.224266
"ten times"	0.213701
"more than four times"	0.205231
"about three times"	0.202883
"up to @@ times"	0.20074
"more than @@ times"	0.197573
"nearly @@ times"	0.197286
"two to three times"	0.192886
"six times"	0.176981
"about @@ times"	0.161963
"nearly three times"	0.161167
"about @@@ times"	0.160263
"Five times"	0.156276
"almost three times"	0.155397
"eight times"	0.153501
"four times"	0.152634
"nine times"	0.14415
"two times"	0.135771
"seven times"	0.119882
"about five times"	0.0673263
intraday	0.058572
"about six weeks"	0.0553743
"over two years"	0.0551267
"up to three months"	0.055061
"one weekend"	0.0548385
"over six months"	0.0545565
"half time"	0.0545029
"over six years"	0.0538279
"right here"	0.0525535
"less than five percent"	0.0525052
"up to six months"	0.0524708
eight-day	0.0523474
"more than five hours"	0.0522323
"more than four months"	0.051637
"Jan @@-@@"	0.0514159
"Oct @@-@@"	0.0498191
"one year ago"	0.0483203
"two meters"	0.0460715
"about @.@@ percent"	0.0451518
"about @ @/@ hours"	0.0450878
"more than two years ago"	0.0441949
"four inches"	0.0440664
"about @ hours"	0.0435044
"about @@ to @@"	0.0431447
"about three years"	0.0428792
"two to three years"	0.0408098
))
("about four years" (desc 1189.24) (sims
"about @@ months"	0.198826
"about two years"	0.180441
"nearly two months"	0.178373
"about six months"	0.175065
"more than @,@@@ years"	0.164754
"about @@ years"	0.158895
"about three weeks"	0.157947
"about two minutes"	0.157755
"more than one year"	0.154042
"about three months"	0.152607
"more than three years"	0.148697
"nearly five years"	0.146853
"another five years"	0.146068
"more than six years"	0.145852
"about @@ days"	0.142096
"about five years"	0.141081
"more than four years"	0.140348
"almost @@ years"	0.136923
"another @@ years"	0.135595
"more than five years"	0.134485
"more than three months"	0.134197
"about three years"	0.133177
"about two months"	0.130436
"two to three weeks"	0.129712
"nearly @@ years"	0.127149
"nearly three years"	0.125485
"more than two months"	0.12339
"more than six months"	0.120884
"more than four months"	0.120578
"eight years"	0.12038
"almost three decades"	0.119622
"three to five years"	0.119021
"three decades"	0.116026
"ten years"	0.114163
"nine years"	0.112521
"about three hours"	0.112138
"more than three decades"	0.110488
"more than @@ years"	0.109163
"about four hours"	0.107824
"six to eight weeks"	0.106873
"more than two decades"	0.106071
"seven weeks"	0.105713
"more than seven years"	0.105608
"two to three years"	0.10555
"nearly @@ hours"	0.104081
"another two years"	0.103313
"nearly @@ minutes"	0.102783
"five decades"	0.102515
"a few years"	0.102346
"three to six months"	0.101299
"five weeks"	0.100983
"more than @@ months"	0.10016
"about two weeks"	0.100089
"almost three years"	0.0997153
"two decades"	0.09943
"four to six weeks"	0.0989879
"another six months"	0.0986918
"six decades"	0.0978611
"nearly two years"	0.0976954
"another @@ months"	0.0975159
"about two hours"	0.0967673
"five months"	0.0967343
"one weekend"	0.0966304
"over two years"	0.0962783
"more than @@@ years"	0.0955005
"four decades"	0.0952162
"more than two years"	0.0945534
"about five minutes"	0.094022
"up to @@ years"	0.0937783
"almost two years"	0.0929086
"nine hours"	0.0922346
"eight months"	0.0921327
"over @@@ years"	0.0920965
"nearly two decades"	0.0915027
"over @@ hours"	0.0901559
"eight weeks"	0.0901482
"seven days"	0.0886223
"three hours"	0.0886117
"up to three months"	0.0882694
"a few weeks"	0.0882195
"a few months"	0.0871981
"more than @@ hours"	0.0869058
"nine months"	0.0865565
"more than eight years"	0.0861086
"up to six months"	0.0859814
"about one hour"	0.0852449
"six hours"	0.0843345
"over two months"	0.0842698
"another three years"	0.0842153
"five hours"	0.0838703
"almost four years"	0.0836919
"eight months ago"	0.0833357
"less than @@ minutes"	0.0831838
"four hours"	0.0831267
"nearly three months"	0.0825844
"eight days"	0.0799633
"over @@ years"	0.0798122
"eight hours"	0.0795252
"up to @@ days"	0.0792878
"less than three years"	0.0792031
"nearly six years"	0.078711
"almost two weeks"	0.0786981
"seven hours"	0.0785608
"about @@ hours"	0.0785529
"more than five hours"	0.0775604
"up to three years"	0.0774738
"hundred years"	0.0769236
"six days"	0.0760121
"seven months"	0.0749083
"more than two hours"	0.0748551
"another four years"	0.0743598
"more than four hours"	0.0743468
"a few decades"	0.073954
"about five hours"	0.0735811
"nine weeks"	0.0733239
"four weeks"	0.0719356
"nearly four decades"	0.0717519
"less than two hours"	0.0715586
"more than @@ minutes"	0.0712457
"almost two hours"	0.0711746
"about six weeks"	0.0709876
"more than three weeks"	0.0703791
"almost two decades"	0.0692513
"up to @@ months"	0.068708
"less than three weeks"	0.0673928
"another @@ days"	0.0671421
"up to two years"	0.0670136
"more than three hours"	0.0668577
"nearly @@@ years"	0.0651231
"nearly four years"	0.0635398
"more than five minutes"	0.0627971
"nine days"	0.0620474
"nearly two hours"	0.0613893
"nearly @@ months"	0.0612771
"one minute"	0.061173
"less than three months"	0.0597961
"up to two weeks"	0.0596716
"up to @@ minutes"	0.0596124
"less than five minutes"	0.0593895
"over two hours"	0.0592873
"about six hours"	0.0591209
"over @@ months"	0.0570812
"Ten minutes"	0.0565602
"past six weeks"	0.0559976
"over @@ minutes"	0.0557623
"nearly three decades"	0.055478
"nearly four hours"	0.0548802
"ten days"	0.0546997
"about @@ to @@ minutes"	0.0541475
"about @ @/@ hours"	0.0539122
"eight minutes"	0.053832
"next four years"	0.0529412
"over three years"	0.0527052
"more than four decades"	0.0526978
"past three weeks"	0.0522745
"less than @@ years"	0.0522602
"seven minutes"	0.0520778
"next seven years"	0.0518345
"more than @@ days"	0.0513454
"Ten years ago"	0.0506705
"next two weeks"	0.0506118
"less than @@ hours"	0.0504028
"eight years ago"	0.0498814
"up to @@ hours"	0.0497009
"over @@ days"	0.0496702
"nine minutes"	0.0495681
"months ago"	0.048758
"Five days ago"	0.0483108
"less than two years"	0.0482566
"next three months"	0.0482345
"next six months"	0.0480834
"first @@ years"	0.0470962
"six minutes"	0.047058
"first three years"	0.046402
"last eight years"	0.046
"two days ago"	0.0454741
"less than three minutes"	0.0449732
"two decades ago"	0.0446424
"thousand years"	0.0445929
"more than @,@@@ years ago"	0.0444023
"February, @@@@"	0.0443404
"next two months"	0.0437181
"two pitchers"	0.0436573
"from @@@@-@@@@"	0.0424232
"a few thousand dollars"	0.0420167
"next six years"	0.0418689
"seven months ago"	0.0416893
"more than two weeks"	0.0415336
"six weeks ago"	0.0414101
"nearly three weeks"	0.0410622
"Over three decades"	0.0405417
"nine months ago"	0.0403779
"next three weeks"	0.0403551
))
("about four years ago" (desc 915.601) (sims
"about three years ago"	0.261071
"about five years ago"	0.247326
"about @@ years ago"	0.241174
"eight months ago"	0.222583
"almost @@ years ago"	0.220441
"about two years ago"	0.21723
"about @@ months ago"	0.210278
"less than two years ago"	0.194842
"seven years ago"	0.189559
"nine months ago"	0.186111
"nine years ago"	0.171894
"six months ago"	0.162291
"Five months ago"	0.160812
"a few months ago"	0.156143
"more than @@ years ago"	0.154415
"six years ago"	0.151022
"nearly two years ago"	0.149874
"about two weeks ago"	0.149447
"one year ago"	0.147957
"four months ago"	0.147948
"three years ago"	0.144893
"seven months ago"	0.144495
"eight years ago"	0.143747
"Ten years ago"	0.142693
"seasons ago"	0.138865
"nearly three years ago"	0.136626
"two months ago"	0.134004
"nearly @@ years ago"	0.132692
"three months ago"	0.132098
"more than two years ago"	0.129116
"about three weeks ago"	0.119539
"more than @@@ years ago"	0.119351
"five years ago"	0.119225
"more than two decades ago"	0.118398
"about two months ago"	0.112879
"six weeks ago"	0.11043
"about @,@@@ years ago"	0.110179
"months ago"	0.110142
"over @@ years ago"	0.107927
"four years ago"	0.106496
"more than three years ago"	0.106146
"a few weeks ago"	0.104687
"four days ago"	0.103347
"three days ago"	0.103346
"three decades ago"	0.098144
"four weeks ago"	0.0951901
"nearly two decades ago"	0.091645
"decades ago"	0.0886472
"six days ago"	0.0885439
"Five days ago"	0.0881181
"decade ago"	0.0877211
"weeks ago"	0.0857052
"two decades ago"	0.0787752
"three weeks ago"	0.0785145
"five weeks ago"	0.0760655
"eight days ago"	0.0752009
"nine days ago"	0.0738404
"time ago"	0.0733732
"more than @@ times"	0.0727746
"Sunday, Oct @@"	0.0700042
"more than @,@@@ years ago"	0.0663453
"less than two weeks ago"	0.0654075
"Sunday, May @@"	0.064686
"a few days ago"	0.0628164
"less than @@ hours"	0.0616068
"one weekend"	0.0594872
"Saturday, June @@"	0.0580683
"ten times"	0.057746
"Saturday, July @@"	0.0577257
"Tuesday, Sept @@"	0.0575983
"four decades ago"	0.0556865
"one month ago"	0.0554607
"eight times"	0.0544779
"nearly two weeks ago"	0.0544004
"about two months"	0.0536437
"days ago"	0.0509304
"seven times"	0.050551
"nine times"	0.050288
"January @."	0.0501687
"from @@@@-@@@@"	0.0495121
"Sunday, Aug @@"	0.0466806
"Monday, July @@"	0.0455757
"summers ago"	0.0453226
"Sunday, June @@"	0.0448767
"sixth year"	0.0446635
"about two years"	0.0430998
"over two decades"	0.042491
"Thursday, Sept @@"	0.0405642
"March @-@@"	0.0402939
"about @@ to @@ minutes"	0.0402106
))
("about nine" (desc 1199.23) (sims
"more than four"	0.190689
"More than nine"	0.17683
"more than six"	0.140343
"more than seven"	0.13959
"about @.@"	0.135084
"almost two"	0.130732
"nearly four"	0.128
"about six"	0.124287
"six to eight"	0.121909
"two to three"	0.118068
"about four"	0.117576
"another @ million"	0.116486
"three to five"	0.115078
"six to @@"	0.11365
"more than eight"	0.11243
"about seven"	0.107163
"almost @"	0.103879
"about five"	0.103861
"four to five"	0.101271
"more than five"	0.100632
"nearly three"	0.0988035
"eight million"	0.0977169
"Nearly @.@ million"	0.0974857
"more than three"	0.0959784
"up to three"	0.095557
"about eight"	0.0953133
"Over one million"	0.0949934
"up to four"	0.0935642
"More than two"	0.0915935
"nearly one"	0.0889427
"about three"	0.0885386
"nearly one million"	0.0884964
"less than five"	0.0873461
"up to @@ million"	0.0861283
"less than @,@@@"	0.0861008
Sixteen	0.0858935
"three million"	0.0854067
"Nearly two"	0.0852364
"almost @@@"	0.0845235
"two to four"	0.084477
"five to @@"	0.083415
"More than two million"	0.08296
"two billion"	0.0826329
"ten thousand"	0.0813354
"Four million"	0.0810719
"more than ten"	0.0810256
"Two hundred"	0.0808061
"over @@ million"	0.0802488
"three to four"	0.0801638
"another @@@,@@@"	0.0801594
"about two"	0.0797813
"nearly @@@,@@@"	0.0796886
"about @"	0.0791859
"nearly @,@@@"	0.0784042
"up to seven"	0.0782255
"up to @@@,@@@"	0.0774622
"over six"	0.0772203
Eighteen	0.0765311
Fourteen	0.0760549
"About one"	0.0758208
"over @.@ million"	0.0744938
"About one million"	0.0738924
"up to two"	0.0735252
"Another @@ million"	0.0735217
"more than @.@ billion"	0.0734585
"more than one million"	0.0732812
"up to @,@@@"	0.0731837
"less than two"	0.0731465
"nearly @@,@@@"	0.0729622
"up to @@@"	0.0729476
"Less than one"	0.0728194
"more than @@ million"	0.0725239
"another @"	0.0723659
twenty	0.0717012
Thirty	0.0716185
"More than three million"	0.0716058
non-Muslim	0.0710827
"roughly @@,@@@"	0.071018
"over @@,@@@"	0.0708268
"Three billion"	0.0703059
"eight to @@"	0.0701945
"up to @@,@@@"	0.0700846
"nearly @@"	0.0699836
"over @,@@@"	0.0697821
"almost @@,@@@"	0.0697214
"more than @"	0.0692268
"over @@@ million"	0.0692236
"more than @.@@ million"	0.0691676
"roughly @,@@@"	0.0690109
"another @@@ million"	0.068647
"over @ million"	0.0686155
"up to six"	0.0685734
"about @ million"	0.0681079
"nearly @@ million"	0.0680426
"two million"	0.0679891
"nearly @"	0.0679151
"About three million"	0.0675586
"nearly @@@ million"	0.0673754
"up to @"	0.0666313
"less than @@"	0.0660019
Eleven	0.0659206
"another @@,@@@"	0.065704
"nine million"	0.0656633
"up to five"	0.0650202
"up to @ million"	0.0649939
"won @"	0.0649741
"about @.@@"	0.0646126
sixty	0.0644471
"One Million"	0.0643866
"Around @@"	0.0636207
"six million"	0.063587
"nearly @@@"	0.063406
"About two million"	0.0632013
"up to @@"	0.0628999
"over @@@,@@@"	0.0626269
"Three hundred"	0.0625267
"Another two"	0.0625262
"another seven"	0.0624751
"about @@@ to @@@"	0.0622297
"Seven million"	0.0618062
"more than @@@ million"	0.0611591
Fifteen	0.0609698
"roughly @@@"	0.0600664
"roughly @@@,@@@"	0.0600544
"four to six"	0.0597657
"About @.@@ million"	0.0595406
"Another eight"	0.0592577
"seven to @@"	0.0591641
Thirteen	0.0588192
"close to @,@@@"	0.0587698
"Other @@"	0.0584287
"close to @@@"	0.05815
Twelve	0.0580025
"another @.@ million"	0.0579702
"almost @@ million"	0.0578185
"more than four million"	0.057815
Thirty-nine	0.0577989
"nearly @ million"	0.0574915
"about @@ million"	0.0574495
"about @@ to @@"	0.0571166
"roughly @@"	0.0569499
"first @@@"	0.0562121
"less than @"	0.0561813
Fifty	0.0554876
"over @.@@ million"	0.0552561
"over four"	0.0551883
seventy	0.0548642
Thirty-three	0.0548039
"about @@.@ million"	0.0547466
Forty-two	0.0545044
"close to @@,@@@"	0.0543139
"almost one"	0.054023
RM@	0.05374
"five million"	0.0537276
"Sea Launch"	0.05352
"up to eight"	0.0531454
"other six"	0.0530127
"another six"	0.0527356
"About @ billion"	0.0526076
"about @.@ million"	0.0525242
"over five"	0.0522056
p@@	0.0521409
"almost @,@@@"	0.0520465
"more than @ million"	0.0516005
"about @@-@@"	0.0511786
"two dozen"	0.0510193
"More than @.@ million"	0.050996
Yew	0.0504045
"another four"	0.0502409
"one billion"	0.0501321
"less than @@,@@@"	0.0499747
teamster	0.0494555
"almost @@"	0.0494416
"other five"	0.0493149
Maasai	0.0492689
Weis	0.0491645
"more than @ billion"	0.0487381
"Another @@@"	0.0487072
Ince	0.0476184
"Irish Catholic"	0.0472901
"less than @@@"	0.0471777
"about @@@ million"	0.0469331
Nineteen	0.0464716
"Another @,@@@"	0.0456259
"almost @ million"	0.045393
"about @.@ billion"	0.0449129
RM@@.@@	0.0448393
Thirty-five	0.044832
electrolyte	0.044671
Maori	0.0445146
"Kosovar Albanian"	0.0439937
RM@@@	0.043939
"other seven"	0.0439153
"another three"	0.0437879
"over seven"	0.0437676
Hasidic	0.043642
"another five"	0.0433554
"six billion"	0.0426062
"other four"	0.0425463
Makah	0.0425113
))
("About one" (desc 19226.6) (sims
"nearly one"	0.247667
"almost one"	0.231605
"roughly one"	0.19933
"Less than one"	0.196706
"more than one"	0.162588
"about @"	0.158842
"nearly three"	0.137925
"about four"	0.137132
"nearly four"	0.132995
"about three"	0.124455
"more than four"	0.124033
"about two"	0.112745
"about six"	0.111395
"Nearly two"	0.108172
"up to one"	0.106999
"more than six"	0.106115
"less than @"	0.0967559
"more than three"	0.0892619
"More than nine"	0.0861997
"about @@"	0.0846846
"Over one"	0.0829571
"about seven"	0.081017
"about five"	0.0785526
"more than @"	0.0773655
"about nine"	0.0758208
"More than two"	0.0738385
"about @@ to @@"	0.0733527
"about eight"	0.0719605
Twelve	0.071824
"about @@@,@@@"	0.0691474
"about @ million"	0.0670766
nine	0.0664124
Five	0.066214
seven	0.0661505
"about @@@"	0.0660449
eight	0.0645598
Six	0.0645344
"up to @,@@@"	0.0623282
"about @.@ million"	0.0623199
"about @@ million"	0.0615921
"nearly @@,@@@"	0.0613802
"About @,@@@"	0.0612775
Eighteen	0.0604585
Thirteen	0.0601175
"a few"	0.0595733
"more than @@"	0.0593634
"more than @@@,@@@"	0.0584605
Eleven	0.0583786
"more than five"	0.058015
"more than @,@@@"	0.0579286
"about one-third"	0.057636
Nineteen	0.0569853
"One Million"	0.0568475
"how many"	0.0567225
"nearly @"	0.0560749
"about @@ percent"	0.0552301
Younger	0.054876
"nearly @ million"	0.0548743
"less than @@"	0.0548349
"nearly @@ million"	0.0546302
"nearly @@@,@@@"	0.0544887
"roughly @@"	0.0540451
"more than @@ million"	0.0538637
"Eighty percent"	0.0537809
"over @@"	0.0536056
"about @.@"	0.0535246
drove	0.0533904
"about @@,@@@"	0.0532998
"over @,@@@"	0.0531523
"about @ percent"	0.0529941
none	0.052955
"three million"	0.0528574
Thirty-three	0.0527817
"Over one million"	0.0527783
"more than @@@"	0.0525034
"over @@,@@@"	0.0524289
"six million"	0.05241
"up to @@"	0.0521882
"Nearly @.@ million"	0.0519567
"less than @@@"	0.0519379
"two million"	0.0516749
"nearly @@"	0.0509976
"nearly @@@"	0.0506779
"over @@ million"	0.0499877
Fourteen	0.0499478
"more than @@@ million"	0.0499406
"over @.@ million"	0.0495556
"almost @@@"	0.0493743
"Four million"	0.0492446
Fifteen	0.0491894
"won two"	0.0491029
one-fifth	0.048609
"about one-fifth"	0.0485031
"up to @ million"	0.048498
"over @@@"	0.0484321
one-third	0.0483938
"nearly @,@@@"	0.0482343
"half a dozen"	0.0481218
Thirty-six	0.0478007
"less than @.@ percent"	0.0477826
"won @@@"	0.0475982
"more than @@,@@@"	0.047481
"another @@@,@@@"	0.0473331
"three to four"	0.0472569
"more than @ million"	0.0471614
"another four"	0.0471197
"two to three"	0.0465955
"almost @@ million"	0.0465856
"won three"	0.0465427
"almost @@"	0.0464492
"over @@@,@@@"	0.0463946
"More than one-third"	0.0455693
"five million"	0.0455397
one-quarter	0.0455334
"won four"	0.0455117
"almost @@@,@@@"	0.0454602
"another one"	0.0451501
Sixteen	0.0447984
"one fifth"	0.0442518
finishing	0.0436485
"up to @@@"	0.043407
"almost @@,@@@"	0.0433551
"One key"	0.0433158
defining	0.043219
twenty	0.043119
"About @@ per cent"	0.0430361
"about @@@ million"	0.0430326
"another @@,@@@"	0.0428515
two-thirds	0.0426712
seventeen	0.0425723
"another @@"	0.0421071
"More than @.@ million"	0.0420592
"about one-quarter"	0.0419095
tenth	0.04164
Thirty	0.041561
"over two"	0.0415103
"nearly one-third"	0.0414227
"almost @,@@@"	0.040942
"one third"	0.0406229
"ten percent"	0.0405982
"won five"	0.040598
"won @@"	0.0405233
"Another two"	0.0402663
))
("about one hour" (desc 1358.86) (sims
"about three hours"	0.220221
"nearly two hours"	0.21729
"more than five hours"	0.216485
"about two hours"	0.209311
"more than two hours"	0.189829
"over two hours"	0.185493
"about four hours"	0.182978
"almost two hours"	0.178785
"nearly four hours"	0.176857
"over @@ hours"	0.176377
"about @ @/@ hours"	0.169869
"nine hours"	0.169733
"more than three hours"	0.167478
"more than four hours"	0.152373
"nearly three hours"	0.152335
"six hours"	0.151417
"nearly @@ hours"	0.149039
"eight hours"	0.145964
"about two minutes"	0.143966
"nearly @@ minutes"	0.141665
"about five hours"	0.137445
"three hours"	0.136284
"about @ hours"	0.130731
"about @@ minutes"	0.12968
"about six hours"	0.129236
"two hours"	0.126759
"four hours"	0.126745
"more than @@ hours"	0.126496
"about @@ hours"	0.120574
"about three weeks"	0.117972
"more than @@ minutes"	0.115166
"five hours"	0.114709
"seven hours"	0.112234
"about five minutes"	0.109965
"nearly two months"	0.108942
"about six months"	0.106547
"up to @@ minutes"	0.105367
"six to eight weeks"	0.105006
"less than @@ minutes"	0.104541
"a few hours"	0.103447
"more than five minutes"	0.102812
"up to three years"	0.0999626
"about three months"	0.0987877
"about six weeks"	0.0976503
"one hour"	0.0956561
"another two weeks"	0.0955013
"up to six months"	0.0937248
"seven days"	0.09368
"a few minutes"	0.0928463
"more than three months"	0.0923975
"less than two hours"	0.0912693
"three to six months"	0.0894562
"up to three months"	0.0884427
"another six months"	0.0881367
"five minutes"	0.0880435
"nine days"	0.0878086
"another @@ minutes"	0.0870564
"more than @@ days"	0.0865406
"more than one year"	0.0855937
"about four years"	0.0852449
"about @@ to @@ minutes"	0.0841616
"two to three years"	0.0841513
"another @@ years"	0.0827671
"more than @@ months"	0.0799192
"more than six months"	0.0769541
"about two weeks"	0.0764092
"another @@ months"	0.0753935
"more than two years"	0.0749198
"almost two weeks"	0.0724136
"up to five years"	0.0723351
"up to two years"	0.0721453
"four weeks"	0.0716944
"another @@ days"	0.0716926
"nearly three months"	0.0712343
"over three years"	0.0711479
"more than eight years"	0.071084
"over two months"	0.0706756
"another five years"	0.0700567
"about @@ days"	0.069837
"two to three weeks"	0.0690871
"over @@ minutes"	0.0689692
"seven weeks"	0.068795
"over two years"	0.067309
"up to @@ hours"	0.0667473
"nearly two weeks"	0.0651147
"up to @@ months"	0.0648578
"almost two decades"	0.0648158
"eight months"	0.0648053
"up to @@ days"	0.0646118
"more than two months"	0.0644472
"over five years"	0.0635288
"another two years"	0.0630434
"more than @,@@@ years"	0.0629515
"five weeks"	0.0628749
"eight times"	0.0628573
"another three years"	0.0619119
"three to five years"	0.0613246
"over six years"	0.0610372
"more than six years"	0.0600124
"Ten minutes"	0.0593089
"over two decades"	0.0590719
"more than three weeks"	0.0589688
"eight minutes"	0.0583801
"about @@ months"	0.0580923
"about two years"	0.057783
"over @@ days"	0.057464
"eight days"	0.0571962
"two nights"	0.0565918
"about three years"	0.0561311
"about two months"	0.0557777
"about @ minute"	0.0553314
"more than three years"	0.0552832
"almost three decades"	0.0552403
"seven times"	0.0541501
"seven minutes"	0.0539231
"more than two weeks"	0.0539219
"first five days"	0.0538713
"eight kilometers"	0.0533515
"more than four years"	0.0527871
"one minute"	0.0526971
"almost @@ years"	0.052295
"nearly two decades"	0.0522023
"up to two weeks"	0.0512761
"three nights"	0.0509558
"Five times"	0.0507388
"less than five minutes"	0.0506255
"Jan @@-@@"	0.0480073
"over @@ years ago"	0.0476477
"one weekend"	0.0474821
"less than three minutes"	0.0474113
"four to six weeks"	0.0474006
"about five years"	0.0470588
"another four years"	0.0469651
"billion over @@ years"	0.0469566
"eight weeks"	0.0469273
"nearly six years"	0.0468367
"less than @@ hours"	0.0467446
"less than two minutes"	0.0462251
"four weeks ago"	0.0459356
"hundred years"	0.0459335
"from January to September"	0.0457229
"over three days"	0.0450699
"eight years ago"	0.0447924
"four nights"	0.04442
"up to @@ years"	0.0443285
"next three weeks"	0.0441056
nanosecond	0.0439637
"nine miles"	0.0439463
frontlines	0.0436727
"about six miles"	0.0432741
"more than four decades"	0.0428535
"six kilometers"	0.0423373
"about five times"	0.0420905
"over four years"	0.0417206
six-week	0.0416633
"about @ minutes"	0.0412777
"more than @@@ kilometers"	0.04126
"nearly three years"	0.0411958
"seventh day"	0.0409907
"Aug @@-@@"	0.0406089
"hundred miles"	0.0405259
"two times"	0.0402517
"nine weeks"	0.0400787
"Five days ago"	0.0400564
))
("about one kilometer" (desc 1538.71) (sims
"a few kilometers"	0.20902
"three kilometers"	0.20822
"five kilometers"	0.182414
"two kilometers"	0.165379
"about three miles"	0.14666
"six kilometers"	0.145004
"a few meters"	0.140259
"eight miles"	0.140232
"about @@ km"	0.130238
"about five miles"	0.126481
"about two miles"	0.124281
"four miles"	0.123931
"three miles"	0.120391
"about @@@ meters"	0.120387
"one kilometer"	0.11787
"about @@ kilometers"	0.115262
"about @@ miles"	0.11361
"two miles"	0.109123
"a few miles"	0.10813
"four kilometers"	0.104843
"a few hundred yards"	0.104561
"about @@@ yards"	0.10297
"about @ miles"	0.101649
"hundred yards"	0.100923
"eight kilometers"	0.100588
"six miles"	0.100004
"five miles"	0.0991426
"about six miles"	0.0947041
"about @@@ km"	0.0918812
"seven miles"	0.0915427
"more than @@@ miles"	0.0906836
"about @@@ kilometers"	0.0906081
"a few yards"	0.0869894
"less than @@ miles"	0.0862257
"half mile"	0.083333
"more than @@ miles"	0.0793254
"about @@ meters"	0.0771413
"about four miles"	0.0768646
"nine miles"	0.0760514
Lightyear	0.0751112
"one mile"	0.0726336
"about @@@ miles"	0.0701682
"up to @@ miles"	0.0655857
"Nearly @@@ miles"	0.0622672
upriver	0.0606826
tribals	0.0574225
"over @@@ kilometers"	0.0568839
"hundred miles"	0.0543924
"a few inches"	0.0531286
Picassos	0.0523424
heifer	0.0512873
"quarter mile"	0.051249
"two inches"	0.0509598
"about @,@@@ miles"	0.0504555
SIESTA	0.0494248
"prayer meeting"	0.0490309
downriver	0.0476686
"break of serve"	0.0475931
"mouse click"	0.0474896
"six inches"	0.0474206
"man's body"	0.0464536
"ten days"	0.0462256
gasses	0.0457715
"about @@ yards"	0.0454638
"blue whale"	0.0447796
"nonstop flight"	0.0442784
jut	0.0440285
thundershowers	0.0439406
"fire hose"	0.0435286
bullfight	0.0424179
"NL Rookie"	0.0423944
"horseshoe crab"	0.0419889
"rat race"	0.0418297
"raw data"	0.0410246
"service break"	0.0409413
"one meter"	0.0405533
"supply route"	0.0402106
N.E	0.0400743
))
("About one million" (desc 2144.26) (sims
"More than two million"	0.321165
"over @.@ million"	0.287128
"Over two million"	0.286492
"About three million"	0.285819
"More than three million"	0.279661
"Over one million"	0.271417
"more than one million"	0.258193
"over @ million"	0.255426
"About two million"	0.25363
"over @@ million"	0.246364
"eight million"	0.246001
"Four million"	0.244799
"nearly @@ million"	0.242427
"nearly one million"	0.242378
"Seven million"	0.241822
"six million"	0.236174
"more than @@ million"	0.234652
"three million"	0.233838
"over @@@,@@@"	0.233161
"about @.@ million"	0.23034
"More than @.@ million"	0.230225
"two million"	0.229865
"About @.@@ million"	0.228981
"more than four million"	0.228896
"more than @ million"	0.223854
"up to @@ million"	0.22384
"five million"	0.222192
"nearly @ million"	0.221013
"One Million"	0.214263
"over @.@@ million"	0.212754
"nine million"	0.211437
"nearly @@@,@@@"	0.210884
"more than @.@@ million"	0.205258
"almost @ million"	0.202005
"about @@.@ million"	0.20173
"Nearly @.@ million"	0.201392
"up to @ million"	0.201122
"roughly @@@,@@@"	0.19619
"more than @@@,@@@"	0.194654
"about @ million"	0.194574
"almost @@@,@@@"	0.193366
"up to @@@,@@@"	0.192195
"over @@@ million"	0.190743
"more than @@@ million"	0.188951
"about @@ million"	0.188424
"about @@@,@@@"	0.186943
"almost @@ million"	0.180343
"over @@,@@@"	0.179309
"nearly @@,@@@"	0.17787
"almost @@,@@@"	0.176708
"roughly @@,@@@"	0.171807
"more than @.@ billion"	0.167915
"over @,@@@"	0.167157
"about @@,@@@"	0.165373
"close to @@,@@@"	0.164317
"another @ million"	0.160104
"roughly @,@@@"	0.159841
"more than @@,@@@"	0.158758
"Another @@ million"	0.158593
"another @@@,@@@"	0.157502
"another @@,@@@"	0.147718
"up to @@,@@@"	0.14676
"about @@@ million"	0.146491
"up to @,@@@"	0.144529
"another @.@ million"	0.14399
"nearly @,@@@"	0.142062
"nearly @@@ million"	0.141277
"About @,@@@"	0.137063
"close to @,@@@"	0.135449
"about @.@ billion"	0.130283
"Another @,@@@"	0.130203
"more than @,@@@"	0.128019
"almost @,@@@"	0.127158
"Three hundred"	0.125118
"about @@@"	0.11905
"Around @@@"	0.118898
"About @ billion"	0.114885
"Two hundred"	0.110088
Thirty-six	0.109969
"Three billion"	0.108348
"ten thousand"	0.10566
"two billion"	0.105341
"nearly @@@"	0.10522
"about @@@ to @@@"	0.104829
"more than @ billion"	0.103641
"more than @@@"	0.103283
"over @@@"	0.102869
"almost @@@"	0.101121
"one billion"	0.100705
"Another @@@"	0.100698
"first @@@"	0.0997551
"Kosovar Albanian"	0.099443
non-Muslim	0.0990233
Eighteen	0.098661
Thirty-nine	0.0969636
"Around @@"	0.0961238
Nineteen	0.0949732
non-Hispanic	0.0943987
"close to @@@"	0.0940987
"another @@"	0.0939702
Okinawan	0.0931379
"less than @@,@@@"	0.0925798
"six billion"	0.0902542
Thirty-five	0.0902254
non-Jewish	0.089845
"up to @@@"	0.0879007
"other @@@"	0.0872042
Thirty-four	0.0859842
"about @@"	0.0858882
Thirty-two	0.0858679
Forty-four	0.0857546
"another @@@ million"	0.0846128
Twelve	0.0843616
"more than @@@@"	0.0842399
Forty-seven	0.0840066
Hmong	0.0823769
slain	0.0818526
"up to three"	0.0802973
"six to eight"	0.0794605
"about @@ billion"	0.0794257
Younger	0.0791617
"roughly @@@"	0.0790718
"up to seven"	0.0788741
Kosovar	0.0787307
nonwhite	0.0782099
"Orthodox Jewish"	0.0778763
"less than @@@"	0.0762462
Thirty-eight	0.0745216
health-conscious	0.0743969
"about nine"	0.0738924
"more than ten"	0.0735822
"two dozen"	0.0731341
seventeen	0.0726308
"six to @@"	0.0724087
"another nine"	0.0713677
forty	0.0704489
"middle class"	0.0703399
Thirteen	0.0699666
"More than two"	0.0698526
"up to four"	0.0693496
"five to @@"	0.0687341
"Ethnic Albanian"	0.0683797
non-European	0.0682398
Fifteen	0.0681903
sixty	0.0672597
"about four"	0.0671707
"turning away"	0.0670634
Sixteen	0.0642237
"about eight"	0.0640704
"fourth generation"	0.0639639
Rwandese	0.0637478
Amish	0.0627808
Thirty	0.0623935
"more than @@ billion"	0.0623345
"about three"	0.0618657
"more than five"	0.0618622
Ingush	0.0617233
eighty	0.0610424
non-Indian	0.0609064
Fifty	0.0607435
"less than @,@@@"	0.0603045
"more than seven"	0.0602612
Eleven	0.0599809
"up to six"	0.0597482
"about @.@"	0.0593482
"more than six"	0.059055
"dust bowl"	0.0585589
"about @@ to @@"	0.0582279
expatriate	0.0577963
low-income	0.0575268
"Boys Ranch"	0.0573795
"upper class"	0.0570612
"four to six"	0.0565295
Thirty-three	0.0563919
"about two"	0.0562817
"mentally retarded"	0.0557986
"Other @@"	0.0556228
"up to two"	0.0550931
"about five"	0.0542343
Fourteen	0.0541875
"up to five"	0.0541747
"up to @@"	0.0541729
Kurd	0.0541425
"Eastern European"	0.0534545
"another three"	0.0532587
Tibetan	0.0532274
"Irish Catholic"	0.0531588
twenty	0.0527828
Bengali	0.0527757
cost-conscious	0.0527716
"other seven"	0.0520026
"Nearly two"	0.0519646
Fifty-five	0.0512242
seventy	0.0509706
Timorese	0.0507429
Forty-two	0.0506399
"another six"	0.0503002
"more than eight"	0.0502631
"four to five"	0.0501639
"about seven"	0.0486605
))
("about one percent" (desc 988.164) (sims
"about four percent"	0.258178
"about five percent"	0.224117
"about two percent"	0.207562
"nearly one-fifth"	0.196564
"less than one percent"	0.195307
"roughly two-thirds"	0.176125
"less than @.@ percent"	0.174201
"about @.@@ percent"	0.173921
"About three quarters"	0.173847
"two percent"	0.171742
one-seventh	0.167847
"About @@.@ percent"	0.164174
"about @.@ percent"	0.163265
"ten percent"	0.161227
"More than one third"	0.1595
"over one-third"	0.15838
"one fifth"	0.158284
"more than one-fourth"	0.156628
"more than @.@ percent"	0.156461
"about one-fourth"	0.156231
"less than five percent"	0.154745
"four percent"	0.153048
"about one-fifth"	0.15021
"six percent"	0.149129
"About @@ per cent"	0.147523
"one percent"	0.146622
"one sixth"	0.14641
"eight percent"	0.143981
"about three percent"	0.141637
"one tenth"	0.137497
"seven percent"	0.134764
"three percent"	0.134394
"roughly one-third"	0.134389
"up to @@.@ percent"	0.13386
"nine percent"	0.131574
"almost two-thirds"	0.130381
two-third	0.128424
"five percent"	0.126633
"nearly one third"	0.124765
"about one third"	0.123931
"about one quarter"	0.122816
percent	0.122149
"More than three-quarters"	0.122007
"nearly one-fourth"	0.119416
"about @ percent"	0.117089
"nearly two-thirds"	0.115603
"about one-tenth"	0.115127
one-fourth	0.114234
"one third"	0.113082
"over two-thirds"	0.108991
"more than @@ million US dollars"	0.10836
"about one-quarter"	0.106721
"more than one-fifth"	0.106369
"almost one-third"	0.105829
one-fifth	0.104131
one-sixth	0.103289
"about one-third"	0.102842
"more than @@ billion US dollars"	0.101612
tenth	0.101324
fifths	0.101197
"about @@@ percent"	0.100367
"about three-quarters"	0.0996037
"one quarter"	0.0994558
"More than two-thirds"	0.0969796
"over one third"	0.0967473
"more than three-fourths"	0.0925756
one-tenth	0.0911526
"about three-fourths"	0.0905397
three-fourths	0.0904924
thirds	0.0902995
"about two-thirds"	0.0898108
"More than three quarters"	0.0887852
"nearly one-third"	0.0854581
"Sixty percent"	0.0847495
"about @ billion dollars"	0.0842313
"Over @@@ Million Dollars"	0.0834865
dollars-worth	0.0834501
one-eighth	0.0832178
two-fifths	0.0830295
three-fifths	0.0826307
"about @@@ million dollars"	0.0816484
two-tenths	0.0797822
"Thirty percent"	0.0795505
"over @@.@ percent"	0.0794711
"More than one-third"	0.0764635
"up to @.@ percent"	0.0760252
"last two digits"	0.0725366
"more than @ billion dollars"	0.0711005
Four-fifths	0.0709565
"Twenty percent"	0.0704879
pittance	0.0698604
"One hundred percent"	0.069566
"another @.@ percent"	0.068239
added-value	0.0681119
"Ninety percent"	0.0671798
"Almost three-quarters"	0.0667446
"Seventy percent"	0.066605
"more than @.@ billion US dollars"	0.0651994
"about @@.@ million dollars"	0.0648545
"one share"	0.0648413
"three quarters"	0.063629
"market penetration"	0.0635658
"two billion yuan"	0.0631782
"two billion US dollars"	0.0629861
one-quarter	0.0628081
"barrels per day"	0.0626714
"Forty percent"	0.0621362
smidgen	0.0621168
"roughly one"	0.0613845
"about @.@ million tons"	0.0612501
"more than @@@ billion yuan"	0.0602383
doubling	0.0601386
"more than @.@ billion dollars"	0.0599739
"more than @@ million dollars"	0.0598901
lessening	0.0595719
"rate of growth"	0.0589845
"more than @@@ million yuan"	0.0589207
buoyancy	0.0588799
"less than one-third"	0.0576438
nine-tenths	0.0574135
"Nearly three-quarters"	0.0573862
narrowest	0.0570488
"about @@@ million"	0.0561048
"representative sample"	0.0560177
"more than @@@ million US dollars"	0.0559239
labeling	0.0558146
"Eighty percent"	0.0555435
"Sixty-five percent"	0.0555222
"upper limit"	0.0549419
wage-earner	0.0543179
"less than one-tenth"	0.0538199
"honorable mention"	0.053427
"more than @@ billion yuan"	0.0532787
"clean slate"	0.0528202
"Eighty-five percent"	0.0527986
macro-control	0.0526292
"small change"	0.0521467
marketability	0.0517766
drawdown	0.0511637
"million yuan"	0.051051
"about @.@ billion dollars"	0.050345
"Ninety-nine percent"	0.0503223
"more than @@@,@@@ tons"	0.0502626
half-dozen	0.0500252
"general knowledge"	0.0498115
"Twenty-five percent"	0.0497601
"two bottles"	0.0496838
"million tons"	0.0496652
"non-performing loans"	0.0493949
earning	0.0493427
weightings	0.0490027
"ownership stake"	0.048312
"almost $@@ billion"	0.048116
"nearly @@ points"	0.0479348
"random sample"	0.0479245
"two quarters"	0.0478992
"about @@@,@@@ tons"	0.047728
"more than @@ million yuan"	0.0477162
"two million tons"	0.0475892
"Seventy-five percent"	0.0473475
"close to @@"	0.0469608
write-down	0.0468423
"Ninety-five percent"	0.0464818
"reaction time"	0.0464609
"more than @.@ billion yuan"	0.0463616
"about @@,@@@ acres"	0.046356
creditworthiness	0.0458097
diminution	0.045662
"about @@@,@@@ acres"	0.0454954
"almost $@@,@@@"	0.0453111
soundness	0.0452543
"one billion US dollars"	0.0451133
"one billion yuan"	0.0450548
vasectomy	0.0450535
subset	0.0448171
"two units"	0.0446566
"more than @@@ million dollars"	0.0444374
"consumer interest"	0.0443306
tripling	0.0441046
Tonnage	0.0440919
"bluefin tuna"	0.04373
sensitization	0.043722
softening	0.0434378
splintering	0.0432794
seven-tenths	0.0432015
deductibility	0.0429298
"dollar amount"	0.0428569
"pay rate"	0.0428242
policing	0.0421034
"over @@@ million US dollars"	0.0420722
"almost $@ billion"	0.0419368
"over @@@ tons"	0.0415598
whistle-blowers	0.0415507
"over @@@,@@@ tons"	0.0415411
"investor interest"	0.0415267
"one million yuan"	0.0414184
career-highs	0.0412926
"more than @@,@@@ yuan"	0.0411225
gigabyte	0.0408923
"three million tons"	0.0408563
))
("about one quarter" (desc 1056.62) (sims
"less than five percent"	0.206305
"nearly one third"	0.189736
"more than one-fifth"	0.179936
"nearly one-fourth"	0.176546
"one fifth"	0.174977
"about five percent"	0.156248
"over one third"	0.150724
"More than three-quarters"	0.150293
"about three-quarters"	0.149152
"one sixth"	0.147881
"nearly one-fifth"	0.145975
"about four percent"	0.145284
three-fourths	0.144942
"nearly one-third"	0.144786
"More than one third"	0.144123
"about one-tenth"	0.143006
"nearly two-thirds"	0.14224
"about one-fifth"	0.141789
"Sixty-five percent"	0.141265
one-seventh	0.139834
"about one-quarter"	0.139359
"About @@.@ percent"	0.137902
"one tenth"	0.137566
"about one-fourth"	0.136477
"more than one-fourth"	0.135821
"almost two-thirds"	0.134875
"About three quarters"	0.133321
"More than two-thirds"	0.133164
one-sixth	0.130433
two-fifths	0.129556
three-fifths	0.127475
"more than @.@ percent"	0.125135
"Eighty-five percent"	0.124548
"about three-fourths"	0.123578
"almost one-third"	0.122907
"about one percent"	0.122816
"about two percent"	0.121249
"less than one percent"	0.118101
fifths	0.118056
"about one-third"	0.117866
one-fifth	0.117677
"More than three quarters"	0.117184
"Twenty percent"	0.116116
"Nearly three-quarters"	0.115559
one-fourth	0.115375
"Forty-five percent"	0.115001
"ten percent"	0.114637
"over one-third"	0.113476
"roughly one-third"	0.111822
"about three percent"	0.109969
one-eighth	0.109396
"More than one-third"	0.108557
"over @@.@ percent"	0.10852
"about two-thirds"	0.107455
"less than one-third"	0.105954
"about @.@@ percent"	0.103796
"roughly two-thirds"	0.102853
"one quarter"	0.101884
"about one third"	0.100318
"Seventy percent"	0.0986643
thirds	0.098616
"About @@ per cent"	0.0980648
"Forty percent"	0.0980254
Four-fifths	0.0967433
"more than three-fourths"	0.0963219
"over two-thirds"	0.0960423
"less than @.@ percent"	0.0956846
"Fifty percent"	0.0927363
"Thirty percent"	0.0912134
"representative sample"	0.0908937
tenth	0.0906508
"one third"	0.0903749
"Fifteen percent"	0.0888887
"Eighty percent"	0.0886029
"Seventy-five percent"	0.0886023
"Twenty-five percent"	0.0866785
one-tenth	0.0858828
"Sixty percent"	0.0853332
three-quarters	0.08302
"six percent"	0.0819715
"about @.@ percent"	0.0810209
"three quarters"	0.0798764
"Ninety-five percent"	0.0791598
"About @@,@@@ hectares"	0.0786826
"seven percent"	0.0751728
"four percent"	0.0750971
"up to @@.@ percent"	0.0739513
one-quarter	0.07232
"three percent"	0.0718573
nine-tenths	0.0711102
"nine percent"	0.0707403
"another @.@ percent"	0.0698251
"two percent"	0.068046
"Ninety-nine percent"	0.0652318
"Almost three-quarters"	0.0639997
"Labor office"	0.0634284
"about @@@,@@@ hectares"	0.0634114
"random sample"	0.0627818
two-third	0.0623347
"Fifty-five percent"	0.0601267
"more than @@@,@@@ hectares"	0.0581321
"one inch"	0.057815
lode	0.0559219
mushrooming	0.0557683
tabulation	0.055518
"first minutes"	0.0546172
enumeration	0.0542762
"Ninety percent"	0.0541169
"over @,@@@ hectares"	0.0532897
"won @@.@ percent"	0.0529298
millionth	0.0528538
thousandth	0.052198
plurality	0.0504638
"more than @,@@@ hectares"	0.0503739
"more than @@,@@@ hectares"	0.0493343
"absolute majority"	0.0489749
"about @.@ million tons"	0.0485638
"more than @@,@@@ acres"	0.0475406
two-tenths	0.0466945
"core group"	0.0464331
"more than @@@ hectares"	0.04585
"Another @@ million"	0.0452744
tripling	0.0447238
"six million tons"	0.0445901
"four million tons"	0.0438081
subset	0.0437411
"more than @@,@@@ tons"	0.0432071
tenths	0.0431353
"about @@@,@@@ acres"	0.042673
"about @@@ million"	0.0421536
dollars-worth	0.041481
"million acres"	0.0413547
splitting	0.0413197
"about @@@ acres"	0.0402864
fierceness	0.0402646
))
("about one third" (desc 3455.44) (sims
"one sixth"	0.227955
"one fifth"	0.222028
"over one-third"	0.204157
"one tenth"	0.186453
"nearly one third"	0.18215
"About @@ per cent"	0.180851
one-seventh	0.177625
"one third"	0.171117
"almost one-third"	0.167135
"about one-third"	0.16356
two-fifths	0.162724
"More than one third"	0.161946
"over one third"	0.160097
"roughly one-third"	0.159467
"about one-fifth"	0.157151
"more than one-fifth"	0.157047
"about five percent"	0.155236
one-fifth	0.153992
one-sixth	0.153742
one-fourth	0.152402
"less than five percent"	0.145502
"More than two-thirds"	0.1455
"nearly one-third"	0.144131
"more than one-fourth"	0.143704
"More than one-third"	0.142707
"about three-quarters"	0.141784
"less than one percent"	0.141611
"nearly one-fourth"	0.140199
"about two-thirds"	0.139327
"roughly two-thirds"	0.137628
thirds	0.137273
"About @@.@ percent"	0.136316
"nearly one-fifth"	0.13508
fifths	0.133854
"over two-thirds"	0.133204
one-third	0.131477
"about one-fourth"	0.129225
two-third	0.128611
"about one-tenth"	0.128524
"about one-quarter"	0.12832
"Thirty percent"	0.124731
"nearly two-thirds"	0.124574
"about one percent"	0.123931
"Eighty percent"	0.12227
"Forty percent"	0.121517
one-tenth	0.120673
one-eighth	0.117883
"About three quarters"	0.117014
three-fourths	0.116474
"ten percent"	0.111636
"less than one-third"	0.110784
"about three percent"	0.108676
"almost two-thirds"	0.108526
"More than three-quarters"	0.108227
"about @ percent"	0.106556
"Ninety percent"	0.106334
"one quarter"	0.105775
"about @@ percent"	0.105661
two-thirds	0.104608
"Fifty percent"	0.102843
"Fifty-five percent"	0.102385
"about @.@ percent"	0.101875
"about four percent"	0.101613
Four-fifths	0.10158
"another third"	0.101416
"Seventy percent"	0.101063
"more than three-fourths"	0.100404
"about one quarter"	0.100318
"less than one-tenth"	0.0998439
"Eighty-five percent"	0.0996284
"less than @.@ percent"	0.0982541
"Sixty percent"	0.0975515
bulk	0.095149
"about @.@@ percent"	0.0948268
"Twenty percent"	0.0944589
"Fifteen percent"	0.0930895
"about three-fourths"	0.0919383
"Ninety-nine percent"	0.0898054
three-fifths	0.0894031
one-quarter	0.0876898
"over @@.@ percent"	0.0854115
"about two percent"	0.0844635
"representative sample"	0.0838871
"Seventy-five percent"	0.0815841
tenth	0.0810787
"two percent"	0.0805567
"More than three quarters"	0.0803936
"Twenty-five percent"	0.0802034
"more than @.@ percent"	0.0798447
"seven percent"	0.0791447
fraction	0.0790452
"eight percent"	0.0787582
"six percent"	0.0776437
"one percent"	0.0764343
"about @@@ percent"	0.0761672
"Sixty-five percent"	0.0757542
three-quarters	0.0752069
"Nearly three-quarters"	0.0738039
Twenty-three	0.073539
"three percent"	0.0722632
"five percent"	0.0718582
"four percent"	0.0705086
Twenty-five	0.0695556
"Ninety-five percent"	0.0689347
"about @@ million tons"	0.068902
"about @@@,@@@ tons"	0.0687424
"about @.@ million"	0.0680277
"about @.@ million tons"	0.0656643
"more than @ million tons"	0.0653976
"nine percent"	0.0649603
percent	0.0646553
twenty-six	0.0643787
"three quarters"	0.0636858
"two pitchers"	0.0629916
apportionment	0.0620528
"One hundred percent"	0.0616906
"more than @@@ tons"	0.06151
"about @@ tons"	0.0599103
"four million tons"	0.0589256
Twelve	0.0588354
twenty-two	0.0587385
"six million tons"	0.0579758
"about @@ to @@"	0.0577651
"more than @@ million tons"	0.0573811
planeloads	0.0567763
Thirty-three	0.0563767
twenty-eight	0.0559813
twenty-four	0.0556201
"over @@,@@@ tons"	0.0555135
"More than @.@ million"	0.0551915
doubling	0.0544244
"about @ million"	0.0538242
Twenty-seven	0.0536076
"another @.@ percent"	0.0534393
Eighteen	0.0533461
curtailment	0.0524499
"about @@@ million"	0.0523682
"about @@@ tons"	0.0522453
Thirteen	0.0519908
tripling	0.0519036
"about @@ million"	0.0517518
"more than @@,@@@ tons"	0.0515283
"more than @@@ million tons"	0.0514573
"major-league team"	0.0507871
"about @@ million dollars"	0.0504184
"about @@,@@@ tons"	0.0501881
"about @@@ million dollars"	0.0496671
"more than @.@ billion yuan"	0.049437
"more than @ billion dollars"	0.0493899
"first third"	0.0490017
Fifteen	0.0482075
shipload	0.0481963
planeload	0.0478546
"up to @@.@ percent"	0.0474347
"Almost three-quarters"	0.0473404
"more than @,@@@ tons"	0.0472815
"almost @@@,@@@"	0.0472677
"more than @.@ billion US dollars"	0.0471817
"over @@ million tons"	0.0468331
"one hundred"	0.0466428
reallocation	0.0466262
"more than @@@,@@@ tons"	0.0461532
"more than @@@ million"	0.0460627
"rapid growth"	0.0459655
"random sample"	0.0458219
"three million tons"	0.045731
tenths	0.045632
"about @,@@@ tons"	0.0453752
"nearly @@ million"	0.0453109
"absolute majority"	0.0451758
Thirty-four	0.0450527
added-value	0.0449647
one-half	0.0449039
"over @@@ tons"	0.0448874
"a few thousand dollars"	0.0448376
"over @,@@@ tons"	0.0443965
"won @@@"	0.0443964
"about $@.@ billion"	0.0442162
"five million tons"	0.0441417
"about five"	0.0440703
diminution	0.0439079
"over @@@,@@@ tons"	0.0431719
"five tons"	0.0429849
"more than @@ million yuan"	0.0428377
"about @@@ acres"	0.0427451
Thirty-six	0.0426425
"another @@.@ percent"	0.0426164
"less than @@@"	0.04229
dollars-worth	0.042266
"Another @@ million"	0.0420239
"one million tons"	0.0418846
subset	0.0415738
"positive feedback"	0.0415651
"more than @,@@@ miles"	0.041559
"nearly one"	0.0414687
"almost one"	0.0414022
"roughly one"	0.0413872
"nearly @ million"	0.0412555
"about @@.@ million"	0.0410825
"more than @@ billion US dollars"	0.0409642
))
("about one-fifth" (desc 2458.71) (sims
"one fifth"	0.250276
"one tenth"	0.229919
"nearly one third"	0.218774
"almost one-third"	0.217691
"about one-quarter"	0.198644
"about one-third"	0.198406
"one sixth"	0.19823
"nearly one-fifth"	0.196829
one-sixth	0.195219
"More than one-third"	0.194033
"About @@.@ percent"	0.189226
"nearly two-thirds"	0.18796
"roughly one-third"	0.186297
one-fifth	0.184297
"about one-fourth"	0.181326
"more than one-fourth"	0.181291
"More than one third"	0.179536
"about one-tenth"	0.177718
"over one-third"	0.175728
"More than two-thirds"	0.174503
"nearly one-third"	0.173182
"about three-quarters"	0.171796
"about two-thirds"	0.171716
"About @@ per cent"	0.171162
"almost two-thirds"	0.170823
"more than one-fifth"	0.162551
one-fourth	0.162411
"over one third"	0.161382
"about @.@@ percent"	0.158249
"one third"	0.157846
"about one third"	0.157151
one-eighth	0.150915
"roughly two-thirds"	0.150305
"about one percent"	0.15021
"More than three-quarters"	0.148417
"about five percent"	0.144565
"Twenty-five percent"	0.143471
one-seventh	0.141947
one-third	0.141921
"about one quarter"	0.141789
thirds	0.140647
"about four percent"	0.133941
one-tenth	0.133205
"Thirty percent"	0.132507
"Sixty percent"	0.132102
"more than three-fourths"	0.130952
"one quarter"	0.130681
"about three-fourths"	0.129945
"about @.@ percent"	0.129703
two-fifths	0.129119
"Fifteen percent"	0.128986
"Eighty percent"	0.12848
tenth	0.126866
"less than one-third"	0.12589
"Twenty percent"	0.124485
"about @ percent"	0.123845
"about two percent"	0.123833
two-thirds	0.123386
three-fourths	0.122605
one-quarter	0.121676
"less than five percent"	0.120192
"Sixty-five percent"	0.11651
"nearly one-fourth"	0.116041
"Forty percent"	0.114973
"over two-thirds"	0.111059
two-third	0.110285
"Fifty percent"	0.107159
Four-fifths	0.105235
"ten percent"	0.104918
fifths	0.104692
"less than one percent"	0.104594
three-quarters	0.103862
"another third"	0.103316
"Seventy percent"	0.103041
"less than @.@ percent"	0.102527
"Fifty-five percent"	0.102035
"Ninety percent"	0.101561
three-fifths	0.0968326
"Seventy-five percent"	0.0956407
"about three percent"	0.0952544
fraction	0.0929232
"five percent"	0.0921775
"Nearly three-quarters"	0.0884826
"Ninety-five percent"	0.0884258
"more than @.@ percent"	0.0870201
percent	0.0865712
"one percent"	0.0860606
bulk	0.0854901
"eight percent"	0.0840245
"More than three quarters"	0.0835397
"seven percent"	0.082643
"three quarters"	0.0823746
tripling	0.0784857
"Almost three-quarters"	0.07787
twenty-eight	0.0764379
"six percent"	0.0757977
"nine percent"	0.0756907
"About three quarters"	0.0743879
"Eighty-five percent"	0.0741258
"random sample"	0.0738043
twenty-six	0.0727675
"two percent"	0.0721394
"four percent"	0.0685087
"three percent"	0.0679581
one-half	0.0671745
"about @@ to @@"	0.0666671
"good part"	0.0662653
doubling	0.0653432
"representative sample"	0.0642208
"nearly one"	0.0620076
"a few thousand dollars"	0.0609707
"roughly @@"	0.0607216
mushrooming	0.0589358
"about @@@,@@@"	0.0587747
"up to @.@ percent"	0.0578459
"over @@.@ percent"	0.0575299
tabulation	0.0573026
"less than one-tenth"	0.0573009
"about @@,@@@ acres"	0.0567264
"one hundred"	0.0564972
subset	0.055755
"about @@@ million dollars"	0.0554254
half-dozen	0.0551285
"six million"	0.0548847
nine-tenths	0.0548285
"about @ million"	0.0540335
"nearly @@ million"	0.0539913
"Forty-five percent"	0.0539413
twenty-two	0.0537822
"about $@@ billion"	0.0536434
Twenty-three	0.0531951
"one penny"	0.0531061
"direct evidence"	0.0527369
"almost one"	0.0521208
"first third"	0.0520917
"almost $@@ billion"	0.0517935
"about @@@ million"	0.0516758
"a few hundred dollars"	0.0516449
thousandth	0.0510354
"about @.@ million"	0.0508703
"Ninety-nine percent"	0.0506625
Eighteen	0.0497905
sliver	0.0492582
"about @@ million"	0.0490023
"up to @@.@ percent"	0.0487044
"About one"	0.0485031
eight-tenths	0.0484347
"absolute majority"	0.0481475
"about $@@@ billion"	0.0479264
"about @@@,@@@ hectares"	0.0475525
"roughly one"	0.0474283
"over $@@@ million"	0.0471425
"two units"	0.0461841
"about $@ billion"	0.0457983
"two pitchers"	0.0454282
"nearly $@@@ billion"	0.0454182
"cross section"	0.0452487
"more than @.@ billion yuan"	0.0452431
Faget	0.0450841
"another @.@ percent"	0.0448228
Nineteen	0.0446345
two-tenths	0.0437999
splitting	0.043739
"One hundred percent"	0.0434201
"more than @@@ tons"	0.0431866
"up to @,@@@"	0.0427234
"market expectation"	0.0426905
McWilliams	0.042611
"More than @.@ million"	0.0424793
planeloads	0.042327
"almost @@@,@@@"	0.0422763
"Imelda Marcos"	0.0420615
"about @@@,@@@ tons"	0.0418262
Thirty-six	0.0415262
planeload	0.0412806
Baumhammers	0.0411497
"three pitchers"	0.0411422
Fifteen	0.0411328
"about @@@ percent"	0.0410067
labeling	0.0406791
"about three"	0.0405039
Twelve	0.0401289
"Carlos Salinas"	0.0400593
))
("about one-fourth" (desc 2459.94) (sims
"more than one-fourth"	0.189323
"about three-fourths"	0.183192
"about one-fifth"	0.181326
"over one-third"	0.175208
"almost one-third"	0.173722
"nearly one-fifth"	0.173574
"about five percent"	0.171667
"nearly two-thirds"	0.16509
"More than three-quarters"	0.164815
"about two-thirds"	0.16413
"about one-quarter"	0.161611
"one sixth"	0.159349
"about one percent"	0.156231
"About @@ per cent"	0.151856
"about three-quarters"	0.149887
"one fifth"	0.14866
"about four percent"	0.148639
"almost two-thirds"	0.14849
"About @@.@ percent"	0.144629
"roughly one-third"	0.144071
"nearly one-fourth"	0.142883
"More than one third"	0.142811
three-fifths	0.142699
"nearly one-third"	0.140946
"roughly two-thirds"	0.140372
"nearly one third"	0.137035
"about one quarter"	0.136477
"one tenth"	0.136231
"More than two-thirds"	0.133316
"about one-third"	0.131422
"more than three-fourths"	0.13103
"more than one-fifth"	0.130842
"Twenty percent"	0.1296
"over two-thirds"	0.129461
"about one third"	0.129225
"less than five percent"	0.128377
one-seventh	0.128342
two-fifths	0.127817
"More than one-third"	0.127562
one-fourth	0.126961
"about @.@@ percent"	0.126764
Four-fifths	0.124977
"about one-tenth"	0.123151
"less than @.@ percent"	0.122878
"one quarter"	0.122812
"Eighty-five percent"	0.121797
"Fifty percent"	0.120878
fifths	0.119993
"Sixty percent"	0.117785
"over one third"	0.117753
"ten percent"	0.117392
"representative sample"	0.116038
"Forty percent"	0.115729
"Fifteen percent"	0.115511
"about two percent"	0.114537
three-fourths	0.113948
tenth	0.113429
one-fifth	0.11304
"Seventy percent"	0.112714
"Twenty-five percent"	0.112102
"Eighty percent"	0.111769
"one third"	0.110895
"less than one percent"	0.110467
one-third	0.110408
thirds	0.109989
one-sixth	0.109761
one-eighth	0.109482
"Nearly three-quarters"	0.108596
"Thirty percent"	0.105648
"Forty-five percent"	0.104437
"about @ percent"	0.104218
three-quarters	0.103516
"Sixty-five percent"	0.0998489
"about three percent"	0.0989629
one-tenth	0.0988225
fraction	0.0987884
two-thirds	0.097435
"about @.@ percent"	0.0968564
one-quarter	0.0967719
"More than three quarters"	0.0965276
tenths	0.0961751
nine-tenths	0.0954711
two-tenths	0.0954204
"Ninety percent"	0.094187
"less than one-third"	0.0934724
"Seventy-five percent"	0.0906369
"Fifty-five percent"	0.0903173
"About three quarters"	0.0875297
"Ninety-five percent"	0.0856246
"two percent"	0.081902
percent	0.0801733
"three percent"	0.0795139
"seven percent"	0.0790686
eight-tenths	0.0779847
"more than @.@ percent"	0.0759886
"less than one-tenth"	0.0757081
"eight percent"	0.0742815
"six percent"	0.0728719
"five percent"	0.0725937
"three quarters"	0.0718344
three-tenths	0.0716933
"Almost three-quarters"	0.0716531
tabulation	0.0716117
"random sample"	0.0713972
"one percent"	0.0710313
shrinking	0.0706771
"another third"	0.0689097
two-third	0.0671384
"nine percent"	0.0647802
"One hundred percent"	0.0624374
"over @@.@ percent"	0.0616641
seven-tenths	0.0616526
diminution	0.0599836
"good part"	0.059204
"four percent"	0.0574972
"cross section"	0.0574408
sliver	0.056546
slackening	0.0537824
doubling	0.0520608
Twenty-three	0.0509819
"more than @,@@@ acres"	0.0507759
mushrooming	0.0505856
"Ninety-nine percent"	0.0502539
"rapid growth"	0.0502421
mistreatment	0.0494164
"head count"	0.049308
scad	0.0491641
gob	0.0484819
Twenty-five	0.0483185
smattering	0.0474788
tracking	0.0474775
hundredth	0.0469892
subset	0.0464037
oodles	0.0462347
drying	0.0461306
"about $@@@ billion"	0.0460233
"more than @@@,@@@ acres"	0.0458611
one-half	0.0453767
Nineteen	0.0447047
twenty-eight	0.0446937
half-dozen	0.0446461
recounting	0.0446051
enrolment	0.0442916
"more than @@ billion yuan"	0.0440997
tripling	0.0438326
"about @@@ acres"	0.0437867
"about @@,@@@ acres"	0.0435618
phase-out	0.0434135
"last two digits"	0.0433235
paucity	0.0432083
"up to @@.@ percent"	0.0418324
thinness	0.0417592
"about @@@ percent"	0.0414141
splitting	0.041288
enumeration	0.0411826
Fifteen	0.0411691
appropriateness	0.0409547
curtailment	0.0407839
twenty-two	0.0405348
outperformance	0.0403817
Chautauqua	0.0402443
"seating capacity"	0.0401905
))
("about one-quarter" (desc 2960.99) (sims
"roughly two-thirds"	0.203849
"about one-fifth"	0.198644
"More than three-quarters"	0.184511
"nearly two-thirds"	0.178409
"almost two-thirds"	0.178189
"about three-quarters"	0.177517
"almost one-third"	0.176542
"about one-fourth"	0.161611
"Twenty percent"	0.160807
"about one-third"	0.157272
one-fourth	0.152446
"about one-tenth"	0.152111
"More than one-third"	0.151114
"about five percent"	0.148288
"Thirty percent"	0.147045
"one fifth"	0.146718
two-fifths	0.143087
"one tenth"	0.142732
"one sixth"	0.142702
"About @@.@ percent"	0.141825
"more than one-fourth"	0.140976
"about two-thirds"	0.140825
"about one quarter"	0.139359
"more than one-fifth"	0.137265
"nearly one-third"	0.136205
"Seventy percent"	0.135879
"roughly one-third"	0.134799
"over one-third"	0.133912
"nearly one-fifth"	0.133357
"More than two-thirds"	0.13274
"Fifteen percent"	0.131552
"about three-fourths"	0.12967
"about one third"	0.12832
"About @@ per cent"	0.128155
one-quarter	0.127164
three-fourths	0.126295
one-fifth	0.125977
"nearly one-fourth"	0.125707
"over two-thirds"	0.124907
three-quarters	0.124675
one-sixth	0.123319
one-eighth	0.122865
one-third	0.122579
thirds	0.122507
Four-fifths	0.120749
"representative sample"	0.120117
tenth	0.119898
one-tenth	0.117816
"Seventy-five percent"	0.117306
"one third"	0.117089
"Sixty-five percent"	0.11654
one-seventh	0.115901
"less than one-third"	0.113987
"less than @.@ percent"	0.110596
"Fifty percent"	0.110447
"nearly one third"	0.109777
"More than one third"	0.10959
"Nearly three-quarters"	0.109264
fifths	0.10912
"one quarter"	0.10878
"Eighty percent"	0.107403
"about one percent"	0.106721
"Sixty percent"	0.102614
two-thirds	0.100692
"more than three-fourths"	0.100593
"About three quarters"	0.0997843
"Eighty-five percent"	0.0985084
"about three percent"	0.0979314
"about @ percent"	0.0975449
"More than three quarters"	0.0966533
"about @.@ percent"	0.0958073
"about @.@@ percent"	0.095748
"ten percent"	0.0942616
"over @@.@ percent"	0.0942197
fraction	0.0937722
three-fifths	0.0932462
"Fifty-five percent"	0.0930957
"less than five percent"	0.0917516
"less than one percent"	0.0904222
"Ninety percent"	0.0893233
"random sample"	0.0886458
"Forty percent"	0.0870536
"over one third"	0.0861182
eight-tenths	0.0838824
"Forty-five percent"	0.0834665
"about four percent"	0.0830759
nine-tenths	0.0829805
"three quarters"	0.0828614
one-half	0.0803843
"two percent"	0.0799943
three-tenths	0.0794918
bulk	0.0756678
"another third"	0.0745041
"Twenty-five percent"	0.0736143
"less than one-tenth"	0.0726996
"five percent"	0.0723001
two-tenths	0.0721554
percent	0.0693836
"one percent"	0.0693674
"Ninety-five percent"	0.0693671
"eight percent"	0.0692101
two-third	0.0684142
tenths	0.068312
"six percent"	0.0670777
"another @.@ percent"	0.0658942
"about two percent"	0.0654892
"One hundred percent"	0.0650757
Twenty-five	0.0630165
"seven percent"	0.0623225
"Ninety-nine percent"	0.0615273
"Almost three-quarters"	0.0613654
"another @@.@ percent"	0.0612116
"nine percent"	0.0607084
"more than @.@ percent"	0.0591924
"about @@.@ million"	0.056501
seven-tenths	0.056378
doubling	0.0559538
"about @@ to @@"	0.0550672
"four percent"	0.0540053
"three percent"	0.0533254
millionth	0.0524568
"a few thousand dollars"	0.0518966
"about @@@,@@@ acres"	0.0517551
"good part"	0.051424
mingling	0.0501502
"cross section"	0.05003
"about @.@ million"	0.0498072
twenty-four	0.0496725
"about @@@,@@@"	0.049598
twenty-six	0.0490413
Balkanization	0.0478314
"three pitchers"	0.0478119
"about @ million"	0.0474472
"less than @@@"	0.0464361
continuum	0.0458743
"two kilometers"	0.0452513
"case history"	0.0450756
Thirteen	0.0447787
subset	0.0445198
"a few kilometers"	0.0443778
"about three"	0.0435963
"one inch"	0.0434122
"about @@ million"	0.0432055
Twenty-three	0.0431233
"almost $@@ billion"	0.0429577
smallness	0.0427709
"about $@@@ billion"	0.0427458
hundredth	0.0424925
"one penny"	0.0420958
"About one"	0.0419095
sliver	0.0416325
tripling	0.0414575
"direct evidence"	0.0405584
"first third"	0.0405407
"about $@@ billion"	0.0402988
))
("about one-tenth" (desc 1524.58) (sims
"one tenth"	0.301115
"less than one-tenth"	0.212938
one-tenth	0.207702
one-sixth	0.207567
"over one third"	0.200312
"one sixth"	0.194528
one-eighth	0.194011
one-seventh	0.188688
"More than one third"	0.186147
"almost one-third"	0.185073
"about one-fifth"	0.177718
"nearly one-fifth"	0.177476
"more than one-fifth"	0.17399
one-fifth	0.168454
"less than one percent"	0.167775
"less than one-third"	0.167457
"over one-third"	0.157495
"about three-quarters"	0.157051
"nearly one-third"	0.156638
"about one-third"	0.154075
"about one-quarter"	0.152111
"one fifth"	0.152079
"nearly one third"	0.150708
"About three quarters"	0.149475
"less than five percent"	0.147702
"one third"	0.146111
"about one quarter"	0.143006
"roughly one-third"	0.139304
"nearly one-fourth"	0.137611
tenth	0.137
"More than three quarters"	0.136472
"roughly two-thirds"	0.13619
two-third	0.135291
"More than one-third"	0.134673
nine-tenths	0.132101
one-fourth	0.130568
"less than @.@ percent"	0.130237
"about five percent"	0.129243
tenths	0.128545
"about one third"	0.128524
"about one-fourth"	0.123151
"About @@ per cent"	0.123077
"more than one-fourth"	0.122037
"about four percent"	0.121206
fraction	0.120482
"about @@@ percent"	0.120026
two-fifths	0.117722
"one quarter"	0.116354
"Twenty percent"	0.115815
"about one percent"	0.115127
"about two-thirds"	0.114765
"More than three-quarters"	0.113906
two-tenths	0.113512
one-third	0.113093
"about @.@@ percent"	0.111718
three-fourths	0.11136
"nearly two-thirds"	0.10977
"about three-fourths"	0.107821
Four-fifths	0.107719
one-half	0.105881
thirds	0.105812
"More than two-thirds"	0.103488
"about @@@ million dollars"	0.103309
"Seventy percent"	0.101697
"ten percent"	0.100626
"almost two-thirds"	0.0987216
one-quarter	0.097582
seven-tenths	0.0971912
eight-tenths	0.0954678
"About @@.@ percent"	0.0954184
"about two percent"	0.0953234
fifths	0.0944114
"more than three-fourths"	0.0938051
"Eighty-five percent"	0.0932027
"Thirty percent"	0.0921126
"Sixty-five percent"	0.0914402
"about $@@ billion"	0.0900513
"about $@.@ billion"	0.0895339
"Eighty percent"	0.08723
"Forty percent"	0.0872249
"Sixty percent"	0.0854638
"about @.@ billion dollars"	0.0840877
"Nearly three-quarters"	0.0816893
"more than @.@ billion US dollars"	0.0816446
"about $@ billion"	0.080961
crore	0.080737
"about @@ million dollars"	0.0802955
"three quarters"	0.0798243
three-fifths	0.0794187
"about $@.@ million"	0.0787052
three-tenths	0.0775884
"about $@@@ billion"	0.0772091
"about @@ to @@"	0.0769377
"one percent"	0.0763475
twenty-four	0.0758529
"a few thousand dollars"	0.0757667
"about $@@ million"	0.0747959
"about @ million"	0.0745664
"about @@@ million"	0.0745497
three-quarters	0.0743056
"over @@.@ percent"	0.0736412
"over two-thirds"	0.0732127
"about $@@.@@"	0.0731611
"about $@ million"	0.072505
"Fifteen percent"	0.0711417
"about @.@ million"	0.0707626
"about three percent"	0.070013
"hundred dollars"	0.0680824
"over $@@@ million"	0.067935
"one billion yuan"	0.0676805
"more than @@@ million US dollars"	0.0676685
"Ninety percent"	0.0673689
"about @@ million"	0.0672641
"representative sample"	0.0669837
"about @.@ percent"	0.0669754
doubling	0.066339
"about $@@,@@@"	0.0652699
"eight percent"	0.0652012
"about @@@ million yuan"	0.0650559
"two percent"	0.0650062
thousandth	0.0647352
twenty-eight	0.0638194
mushrooming	0.0637722
"another third"	0.0633094
"cross section"	0.0632755
"less than @@@"	0.0629408
Thirty-three	0.0629008
"more than @ billion dollars"	0.0625672
"two billion yuan"	0.0607878
"about $@.@ trillion"	0.0607168
"nearly three times"	0.0605143
"almost $@@ billion"	0.0600434
twenty-two	0.0594888
"six million"	0.0594104
Fifty-five	0.0593419
"two billion US dollars"	0.0592417
"one billion dollars"	0.0589068
"six percent"	0.0587436
"three billion yuan"	0.0586995
"nearly @@ million"	0.0584132
"seven percent"	0.0583513
"one million US dollars"	0.0572132
"Twenty-five percent"	0.0571968
"a few points"	0.0571873
"more than @@ million US dollars"	0.0571561
"more than @.@ percent"	0.0568533
"almost $@@,@@@"	0.0568051
"about @.@ million dollars"	0.0560248
"four percent"	0.0559921
"nearly $@.@ billion"	0.0559251
"nine percent"	0.0556623
Eighteen	0.0553323
"more than @.@ billion yuan"	0.0552827
"Forty-five percent"	0.0551157
subset	0.0548843
"about $@"	0.0547715
"close to one"	0.0546577
"one inch"	0.0543754
"about $@@.@ billion"	0.0541777
"more than @@ billion US dollars"	0.0540187
"about @@.@ million"	0.0537864
"more than @@@ million yuan"	0.0535914
"More than @.@ million"	0.0534838
"about @@-@@"	0.0533336
"two pitchers"	0.0530052
Twenty-five	0.0529363
determinant	0.0528353
tripling	0.0527236
"three percent"	0.0527034
"about $@.@@ billion"	0.0525284
twenty-one	0.0522227
"determining factor"	0.0512433
hundredth	0.0511509
"more than @@ billion yuan"	0.050979
"nearly @@@ million"	0.0507042
"about $@.@@ million"	0.050389
"Over @@@ Million Dollars"	0.0502072
"more than @@ million dollars"	0.049978
"nearly $@ billion"	0.0499097
"more than five times"	0.0498898
"three pitchers"	0.0498675
"one million dollars"	0.0498577
"less than @@"	0.0493203
birr	0.0491544
Twenty-three	0.0490871
"a few hundred dollars"	0.0488461
hryvna	0.0488151
"more than @@ times"	0.0487115
"more than @@@ billion yuan"	0.0479787
Thirteen	0.0478691
"more than @@.@ billion yuan"	0.0478444
"more than four times"	0.0476858
"about @@@,@@@ hectares"	0.0471181
"more than @@ million"	0.0464994
"more than @@@ million dollars"	0.0463791
"about @@ times"	0.0461945
"Zimbabwe Dollars"	0.0461859
"about @@@,@@@ tons"	0.046171
"first third"	0.0461161
"One hundred percent"	0.0454575
))
("about one-third" (desc 11961.8) (sims
"More than one-third"	0.201809
"about one-fifth"	0.198406
one-third	0.19723
one-fifth	0.192497
"nearly one-third"	0.191761
"one third"	0.191249
"about two-thirds"	0.186623
"More than two-thirds"	0.183408
"About @@.@ percent"	0.175357
"nearly two-thirds"	0.172675
"About @@ per cent"	0.170611
"about @@ percent"	0.165423
"almost one-third"	0.163761
"about one third"	0.16356
"about @ percent"	0.163047
"almost two-thirds"	0.16183
"one tenth"	0.161687
one-fourth	0.160661
"one fifth"	0.157343
"about one-quarter"	0.157272
"Twenty percent"	0.15689
"nearly one third"	0.155849
"about one-tenth"	0.154075
two-thirds	0.152835
"roughly two-thirds"	0.152819
"More than one third"	0.152494
"about five percent"	0.151849
"about @.@ percent"	0.150781
"nearly one-fifth"	0.149604
thirds	0.149055
"about three-quarters"	0.148021
one-quarter	0.145085
"over one third"	0.141908
one-tenth	0.139038
"Eighty percent"	0.138384
"one sixth"	0.136772
"Sixty percent"	0.136266
"ten percent"	0.134966
"Twenty-five percent"	0.133471
"about three-fourths"	0.131659
"one quarter"	0.131596
"about one-fourth"	0.131422
three-fourths	0.129837
fraction	0.129218
one-sixth	0.128657
"Seventy percent"	0.127584
"more than one-fifth"	0.127112
"over one-third"	0.126479
"nearly one-fourth"	0.125818
"More than three-quarters"	0.125801
"more than one-fourth"	0.125261
"less than one-third"	0.12491
three-quarters	0.121208
tenth	0.120515
"Fifteen percent"	0.120146
"more than three-fourths"	0.119778
"Thirty percent"	0.117974
"about one quarter"	0.117866
"one percent"	0.117151
"roughly one-third"	0.115731
"less than @.@ percent"	0.115352
two-fifths	0.113243
"Forty percent"	0.112982
"two percent"	0.112876
one-seventh	0.111304
"Nearly three-quarters"	0.111278
"Ninety percent"	0.110932
"seven percent"	0.110156
"about two percent"	0.108649
one-eighth	0.108033
"six percent"	0.107973
percentage	0.107637
"less than five percent"	0.10676
"Sixty-five percent"	0.105748
"Fifty-five percent"	0.105623
"Eighty-five percent"	0.104691
Four-fifths	0.10437
"Fifty percent"	0.104244
"less than one percent"	0.104013
half	0.103484
bulk	0.103014
"About three quarters"	0.102969
"about one percent"	0.102842
"five percent"	0.101969
"nine percent"	0.101871
"about four percent"	0.100901
"about three percent"	0.100188
"three percent"	0.0997811
"eight percent"	0.099217
two-third	0.0990608
"more than @.@ percent"	0.0974281
"Seventy-five percent"	0.0960057
percent	0.0947775
"over two-thirds"	0.0934641
"Ninety-five percent"	0.0929119
"random sample"	0.091549
one-half	0.090187
"about @.@@ percent"	0.0894518
"About @,@@@"	0.0891106
"another third"	0.0851231
"Almost three-quarters"	0.0849193
"representative sample"	0.0847374
"about @@@,@@@"	0.0834452
proportion	0.0829218
"four percent"	0.0815724
"about @.@ million"	0.0808565
majority	0.0797024
portion	0.0795486
three-fifths	0.074868
"about @@ million"	0.0748126
fifths	0.0746428
"how many"	0.0727609
"about $@ billion"	0.0725597
"More than three quarters"	0.0718897
doubling	0.07142
"about @ million"	0.0711764
"about @@,@@@"	0.0710888
"Forty-five percent"	0.0703594
"large number"	0.0696577
"about $@.@ billion"	0.0681533
"about $@@@ million"	0.0677415
"about $@@ billion"	0.0676268
"three quarters"	0.0674064
quarter	0.0663432
chunk	0.0658198
"about $@ million"	0.0657359
amount	0.0656471
"more than @ billion dollars"	0.0636697
"up to @@.@ percent"	0.0634348
"roughly @@"	0.0631914
"about @@@,@@@ tons"	0.0630187
"about @@@"	0.06301
"about $@@ million"	0.0626044
million	0.0625388
"almost @@"	0.0625003
"Ninety-nine percent"	0.0622918
"another @.@ percent"	0.0617195
"about @@ to @@"	0.0609817
twenty-six	0.0606859
"about $@@@ billion"	0.0597269
"less than one-tenth"	0.0591882
"more than @ million"	0.0590111
"over @@.@ percent"	0.0587985
"About one"	0.057636
"more than @@@,@@@"	0.057459
"less than @"	0.0573475
remainder	0.057005
"about @@@ acres"	0.0566982
Twenty-three	0.0565346
"about @@@ million dollars"	0.056423
"good part"	0.0559918
"less than @@@"	0.0558753
"about $@.@ million"	0.0555541
twenty-four	0.0554889
"about @@@ percent"	0.0549798
"how much"	0.0548319
"More than @.@ million"	0.0540842
"about $@@,@@@"	0.0531455
"about @@.@ million"	0.0527859
"five million"	0.05265
Twenty-five	0.0525867
ton	0.0522142
"about $@"	0.0519128
"up to @@"	0.0518673
"cross section"	0.0514847
"about $@,@@@"	0.0512873
ratio	0.0512614
"million dollars"	0.051078
"more than @.@ billion yuan"	0.0507795
"almost $@@,@@@"	0.0505989
"more than @@"	0.0505296
"nearly @@"	0.0502339
"another @@.@ percent"	0.0502319
"about $@@@"	0.0502019
"nearly @ million"	0.0497721
"six million"	0.0496981
"more than @@,@@@"	0.0496642
"One hundred percent"	0.0496181
"One Million"	0.049454
"more than @"	0.0493633
"more than @@@ billion yuan"	0.0491445
penny	0.0490757
"absolute majority"	0.0488021
"nearly @@ million"	0.0486435
"over $@@@ million"	0.0479664
"percentage point"	0.0479218
trickle	0.0478658
"nearly $@@@ billion"	0.0475041
"about @@"	0.0473223
"two million"	0.0471688
"about $@@@,@@@"	0.047038
half-dozen	0.0469744
sliver	0.0469274
"more than @@ billion yuan"	0.0468254
"nearly $@ billion"	0.046805
"almost @@@,@@@"	0.046722
"about @,@@@ acres"	0.0466792
minimum	0.04667
"more than @@@ million yuan"	0.0466345
"more than @@@ million dollars"	0.0462733
))
("about seven" (desc 2459.58) (sims
"more than six"	0.190366
"about six"	0.182775
"about four"	0.158043
"about three"	0.157858
"more than five"	0.155232
"about eight"	0.155017
"nearly three"	0.147375
"more than seven"	0.146634
"nearly four"	0.13408
"more than eight"	0.12803
"Nearly two"	0.127586
"about five"	0.125127
"more than four"	0.124687
"up to three"	0.122855
"More than two"	0.119988
"more than three"	0.11958
"up to six"	0.118989
"about two"	0.1163
"up to four"	0.115297
"nearly @,@@@"	0.112571
"nearly one"	0.112398
"about nine"	0.107163
"two to three"	0.101364
Fifteen	0.100864
"almost two"	0.0997989
"Less than one"	0.0989394
"close to @@"	0.0971741
"up to @,@@@"	0.0967516
"Around @@"	0.096634
"roughly @@@"	0.0959535
"up to @@@"	0.0957005
"another four"	0.0940583
"more than one"	0.0913148
"three to four"	0.0911774
"up to @@"	0.0906918
"up to two"	0.0903854
"about @"	0.0903244
"over six"	0.0888556
"about @@"	0.0883522
"up to @"	0.0881919
"first @@@"	0.0877124
Twelve	0.0874835
"eight to @@"	0.0873212
"roughly @@"	0.0870799
"about @@ to @@"	0.0867098
"more than @,@@@"	0.0861704
"almost @,@@@"	0.0853422
"Around @@@"	0.0836312
Sixteen	0.0836278
"five to @@"	0.082634
"up to @@,@@@"	0.0823476
"roughly one"	0.0814513
"About one"	0.081017
"nearly @@,@@@"	0.0807253
"less than two"	0.080471
Thirteen	0.0802036
"over @@,@@@"	0.0796862
"nearly @@"	0.0793578
"two dozen"	0.0786973
"close to @@@"	0.0786781
"over @@@"	0.0778872
"almost @@"	0.0773491
"nearly @@@"	0.0772989
"About @,@@@"	0.077211
"less than @"	0.0769627
"about @.@"	0.0767559
"nearly @"	0.0765717
"up to seven"	0.0762933
"more than @"	0.0761664
"four to six"	0.0760561
"half a dozen"	0.075676
"Another @@@"	0.0756728
"over five"	0.0752307
"up to @@@,@@@"	0.0751801
"over four"	0.0751153
"over @@"	0.0743516
"more than @ million"	0.0743136
"almost @@ million"	0.0740013
"four to five"	0.0738539
"almost @"	0.073737
"almost @@,@@@"	0.0737048
"more than @@,@@@"	0.0732413
"Another @,@@@"	0.0731437
"Four million"	0.0727829
"close to @,@@@"	0.0725589
"six to eight"	0.0725096
"over seven"	0.0724481
"Another two"	0.0720578
"another @@,@@@"	0.0717484
Thirty	0.0716904
"ten thousand"	0.0709856
Thirty-three	0.070673
"Two hundred"	0.0702245
"nearly @@@,@@@"	0.0697609
"another @"	0.0696351
"three to five"	0.0695217
"another @@"	0.0695204
"over @@@,@@@"	0.0694181
"another seven"	0.0691283
"six to @@"	0.0685244
"More than nine"	0.0681519
"another six"	0.0680177
"over @"	0.0679857
"almost one"	0.0673977
"three million"	0.0665579
"about @@,@@@"	0.0664771
"One Million"	0.0661141
"over @,@@@"	0.066047
"almost @@@"	0.0656927
"up to @ million"	0.0654071
"more than @@@,@@@"	0.0652396
W-@@	0.0650676
"up to five"	0.0648858
"over three"	0.0645616
"Another eight"	0.0644996
"another three"	0.0641388
"another @@@,@@@"	0.063987
"More than two million"	0.0638117
"over @.@ million"	0.0636936
"more than one million"	0.0634135
"More than three million"	0.0630423
"Nearly @.@ million"	0.0624037
"almost @ million"	0.0617974
forty	0.0616369
Eleven	0.0615187
Thirty-nine	0.060981
Fourteen	0.0606127
twenty	0.0604097
"about @.@ billion"	0.0603681
"first four"	0.0596622
"about @@.@ million"	0.0595543
"about @@@,@@@"	0.0595173
"More than @.@ million"	0.0593807
"about @@ million"	0.0588374
Younger	0.0577261
"almost @@@,@@@"	0.0576598
"over @ million"	0.0575763
"less than @@"	0.057477
Navajo	0.0572658
"up to one"	0.0567022
Maasai	0.0566078
"two to four"	0.0563683
"next four"	0.0562607
"first eight"	0.0556762
"another @ million"	0.0552978
"more than @@ million"	0.0552897
"about @ million"	0.0547977
"more than four million"	0.054414
"over two"	0.0540819
"seven to @@"	0.0540682
"roughly @@,@@@"	0.0540277
Amish	0.0539965
"first three"	0.0539133
"Another @@ million"	0.0538016
"close to @@,@@@"	0.0536554
"Three and Four"	0.0534508
"another nine"	0.0533618
"Seven million"	0.0533189
"next three"	0.0530253
Eighteen	0.0529508
"nearly @@ million"	0.0527647
"another five"	0.0525335
"roughly @,@@@"	0.0523977
"up to eight"	0.0522514
Fifty	0.0521727
"nearly @@@ million"	0.0520178
Thirty-six	0.0518308
"other @@@"	0.0512171
"more than @.@@ million"	0.0511782
"other three"	0.0508051
"two million"	0.0504717
"Kosovar Albanian"	0.0503739
"Over one million"	0.0502943
"Three hundred"	0.0501555
"high explosive"	0.0500091
"nearly @ million"	0.0496287
"six million"	0.0495697
"first nine"	0.0495409
"about @.@ million"	0.0494368
slain	0.0490802
"About three million"	0.048875
"Two and three"	0.0487038
nonwhite	0.0486655
"About one million"	0.0486605
Thirty-five	0.0482355
"more than @@@ million"	0.0480181
"less than @@,@@@"	0.0479711
"five million"	0.0475737
"nearly one million"	0.0475607
Forty-five	0.0472647
"other two"	0.0469089
"over @.@@ million"	0.0469022
"about @@@ million"	0.0465239
"about @@@ to @@@"	0.0464202
"first @@"	0.0463987
"eight million"	0.0461446
Nineteen	0.0459879
Thirty-eight	0.0459162
eighty	0.0457944
"Over two million"	0.0457775
))
("about six" (desc 4326.48) (sims
"about four"	0.264867
"about three"	0.226944
"nearly three"	0.221533
"more than six"	0.215069
"about five"	0.211751
"nearly four"	0.208853
"about eight"	0.207657
"Nearly two"	0.191797
"more than four"	0.18815
"about seven"	0.182775
"More than nine"	0.177417
"more than three"	0.162746
"about two"	0.162015
"less than two"	0.145708
"more than eight"	0.140177
"More than two"	0.138382
"six to eight"	0.134746
Thirteen	0.131404
"about @"	0.131098
Sixteen	0.129916
"two to three"	0.127065
"more than five"	0.124811
"up to three"	0.124452
"about nine"	0.124287
"Less than one"	0.122807
"less than five"	0.122236
"another four"	0.120816
"almost two"	0.120245
"Two hundred"	0.118969
"more than seven"	0.118879
"about @@"	0.118285
"up to eight"	0.116409
twenty	0.113546
"About one"	0.111395
"six to @@"	0.110091
"almost one"	0.110051
"up to five"	0.108128
"five to @@"	0.107349
Thirty-three	0.106445
"roughly @@"	0.10535
Fifty	0.104878
"nearly @@,@@@"	0.103759
Thirty-five	0.103395
"three to four"	0.102659
"up to two"	0.102598
"more than one"	0.101949
"almost @@@"	0.101653
Eighteen	0.100834
Fifteen	0.100091
"nearly @"	0.0998428
forty	0.099029
"Another two"	0.0988831
"nearly one"	0.0987169
eight	0.0983896
"another @@"	0.0979972
"other @@@"	0.0976635
"nearly @@@"	0.0975901
"roughly @@@"	0.0971834
eighty	0.0965686
"eight to @@"	0.0965169
"up to @@@"	0.0961481
"another six"	0.0960829
"another five"	0.0959467
"nearly @,@@@"	0.095893
"roughly one"	0.0958155
"almost @,@@@"	0.0953414
"more than @"	0.0947818
Twelve	0.0940469
nine	0.0939509
"roughly @,@@@"	0.0937898
"about @@@"	0.0934453
"up to @,@@@"	0.0934263
"more than @,@@@"	0.0932812
"Three hundred"	0.0930541
"up to six"	0.092886
"about @@ to @@"	0.0920726
"two dozen"	0.0915941
"seven to @@"	0.0906765
Thirty-six	0.0901015
"up to four"	0.0896995
"half a dozen"	0.0895902
"first @@@"	0.089136
"almost @@@,@@@"	0.0890122
"four to five"	0.0889179
"another nine"	0.088873
"close to @@@"	0.0884471
Thirty	0.0884092
"over four"	0.0883341
"three to five"	0.088322
Thirty-two	0.0881502
"over three"	0.0879022
"nearly @@@,@@@"	0.087807
"another @"	0.0874061
"about @@.@ million"	0.0870816
Fourteen	0.0861044
"over @@@"	0.0860208
"over two"	0.085554
"more than @@@"	0.0849572
"over @,@@@"	0.0847634
"two to four"	0.0843699
Fifty-five	0.0831325
"up to @@"	0.0831012
Nineteen	0.082861
"first five"	0.0825704
Forty-two	0.0823801
"Other @@"	0.0823054
"another three"	0.0821627
"over @@,@@@"	0.0820855
Forty-four	0.0820449
Eleven	0.0817031
"more than @@,@@@"	0.0812148
"another seven"	0.0811509
Forty-seven	0.0809289
"About @,@@@"	0.0808579
"more than @@"	0.0802406
"over five"	0.0801966
"close to @,@@@"	0.0797638
"Two and three"	0.0783515
"nearly @@"	0.0781445
"less than @@@"	0.0781111
"about @@,@@@"	0.0780507
"about @@@ to @@@"	0.0779101
"about @@@,@@@"	0.0777983
"almost @@"	0.077675
"Around @@@"	0.077459
"up to @@,@@@"	0.0768525
"almost @@,@@@"	0.0768131
"first three"	0.0767731
twenty-six	0.0763057
"nearly @ million"	0.0762055
Thirty-one	0.0761684
"One Million"	0.075995
"about @@ million"	0.0757983
"five million"	0.0753629
"other six"	0.0753536
"over @@"	0.0753183
"other nine"	0.0753172
"up to @@@,@@@"	0.0748942
"more than @.@@ million"	0.0748623
"over @@@,@@@"	0.0747205
"Another @@@"	0.0745381
"first nine"	0.0741753
"roughly @@,@@@"	0.0736567
"Nearly @.@ million"	0.0729498
seventy	0.0727328
"other eight"	0.0726829
"about @ million"	0.0720449
Forty-five	0.0719993
"up to seven"	0.0718418
"first eight"	0.0717488
"up to @"	0.0717346
"almost @"	0.0713327
"about @@-@@"	0.070911
"four to six"	0.0708307
"more than @@@,@@@"	0.0708105
"nearly @@ million"	0.0700265
"first @@"	0.0699877
"ten thousand"	0.0693405
"over @.@@ million"	0.0692984
"More than @.@ million"	0.0689874
Thirty-eight	0.0682676
"first seven"	0.0682654
"about @.@ million"	0.0682508
"almost @ million"	0.0681972
seventeen	0.0678535
"over six"	0.0675299
"more than @ million"	0.0672396
"over @ million"	0.0671458
"first four"	0.067084
"up to @@ million"	0.0669884
"three million"	0.0668871
"another @@,@@@"	0.0666574
Thirty-nine	0.0664018
"About @ billion"	0.0652722
"Four million"	0.0644503
"other seven"	0.0639383
"almost @@ million"	0.063847
"up to one"	0.0637919
"close to @@"	0.063709
"close to @@,@@@"	0.0636321
"more than @ billion"	0.0633497
"more than @@ million"	0.0632365
"other five"	0.0628978
"less than @"	0.0628425
"another @ million"	0.0626821
"another @@@,@@@"	0.0626672
"Around @@"	0.0622836
"Over one"	0.0622506
"less than @@"	0.0610556
Thirty-four	0.0609435
"two million"	0.0609217
"about @.@ billion"	0.0607244
"more than one million"	0.060485
"Another @,@@@"	0.0601879
"More than three million"	0.0595744
"other four"	0.0594693
"six million"	0.0591685
"Over two million"	0.0589211
twenty-two	0.0589151
"won @@@"	0.0587511
))
("about six hours" (desc 1203.6) (sims
"more than five hours"	0.267083
"nearly four hours"	0.255569
"more than three hours"	0.255214
"about four hours"	0.240546
"more than two hours"	0.227615
"nine hours"	0.210235
"more than four hours"	0.193603
"about two hours"	0.192492
"seven hours"	0.190997
"more than @@ hours"	0.190819
"about three hours"	0.189991
"six hours"	0.176661
"five hours"	0.174628
"almost two hours"	0.168524
"nearly three hours"	0.163306
"about five hours"	0.161733
"nearly @@ hours"	0.149347
"about @@ hours"	0.147404
"nearly two hours"	0.143894
"about @ @/@ hours"	0.138865
"up to six months"	0.135152
"about two minutes"	0.132179
"nearly two weeks"	0.129854
"about one hour"	0.129236
"more than @@ days"	0.129229
"eight hours"	0.127803
"four hours"	0.12776
"up to @@ hours"	0.12709
"eight days"	0.125378
"up to @@ minutes"	0.122291
"two hours"	0.12045
"a few hours"	0.116944
"less than two hours"	0.116372
"about two months"	0.115758
"another two weeks"	0.11521
"up to @@ months"	0.112358
"another @@ minutes"	0.109181
"about @@ minutes"	0.107054
"over three days"	0.106183
"over @@ hours"	0.102159
"three hours"	0.101937
"about five minutes"	0.10129
"seven weeks"	0.100057
"up to three months"	0.0984653
"six days"	0.0977358
"about six weeks"	0.0969056
"about @@ to @@ minutes"	0.0961262
"over two hours"	0.095988
"almost two decades"	0.0951953
"up to @@ days"	0.0924642
"six to eight weeks"	0.0893239
"nine days"	0.0884688
"three days ago"	0.0871358
"a few minutes"	0.0854543
"another @@ years"	0.08536
"seven days"	0.0852571
"more than two months"	0.0849846
"nearly @@ minutes"	0.0835512
"another two years"	0.0833384
"Five months ago"	0.0832204
"nearly three years"	0.0828428
"up to three years"	0.0826176
"over two years"	0.082175
"over two days"	0.0815903
"more than five minutes"	0.0801802
"nearly @@ months"	0.0799843
"less than @@ minutes"	0.0794827
"two to three weeks"	0.078669
"up to five years"	0.0785258
"less than five minutes"	0.0779298
"more than six months"	0.0773914
"more than @@ minutes"	0.0771681
"another four years"	0.0767066
"one hour"	0.076156
"nearly six years"	0.0758974
"about two weeks"	0.0756867
"two days ago"	0.0744893
"four decades ago"	0.0737151
"more than two weeks"	0.0734153
"more than six years"	0.0730063
"another six months"	0.07185
"over @@ years ago"	0.0715933
"another @@ days"	0.0714254
"about three weeks"	0.0714222
"another three years"	0.0709269
"about @@ months ago"	0.0706229
"eight weeks"	0.0705768
"nine weeks"	0.0697351
"four weeks"	0.0677261
"more than four months"	0.0676676
"more than @@ months"	0.0675171
"more than three months"	0.0674898
"a few days ago"	0.0674626
"two months ago"	0.0673158
"another five years"	0.0671664
"about @ hours"	0.0669902
"almost three years"	0.0657833
"up to two years"	0.0655427
"over two months"	0.0655141
"four days ago"	0.0654979
"eight months"	0.0652937
"about six months"	0.0652516
"more than one year"	0.0649564
"six minutes"	0.0649266
"over @@ minutes"	0.0644258
"over @@ months"	0.0643448
"four months ago"	0.0641954
"less than two minutes"	0.0641637
"more than four years"	0.0640156
"eight minutes"	0.062955
"Ten minutes"	0.0618649
"more than five years"	0.0617137
"up to two weeks"	0.0616685
"seven years ago"	0.061274
"more than seven years"	0.0612174
"almost two weeks"	0.059893
"two to three years"	0.0594868
"about four years"	0.0591209
"nearly five years"	0.0591192
"seven months ago"	0.0587647
"five weeks"	0.0575385
"three to five years"	0.0572405
"nine years ago"	0.0562644
"two nights"	0.0559931
"four to six weeks"	0.0555874
"eight days ago"	0.055404
"more than three weeks"	0.0552686
"five to @@ years"	0.05513
"from January to September"	0.054259
"days ago"	0.0536802
"another @@ months"	0.053359
"three to six months"	0.053343
"one weekend"	0.0533418
"right here"	0.0531302
"over @@@ years"	0.0525995
"more than three years ago"	0.0524194
"about three years"	0.0524098
"about three months"	0.0517889
"more than three decades"	0.0514622
"more than eight years"	0.0512747
"next @@ minutes"	0.050894
"National Economic"	0.0507816
"almost three decades"	0.0501432
"seven minutes"	0.049978
"about @@ days"	0.0497267
"about @@ months"	0.0496911
"ten days"	0.0488961
"two decades ago"	0.0485847
"about @@ years ago"	0.048271
"nearly two years ago"	0.0474702
"about five years"	0.0469492
"nearly three weeks"	0.0465918
"three nights"	0.0464978
"first five days"	0.045991
"over five years"	0.0456309
"over two decades"	0.044441
"almost two years"	0.0434801
"Five days ago"	0.0434169
"nearly three decades"	0.0431693
"a few decades"	0.0424506
"more than @,@@@ years"	0.0420531
"nearly two months"	0.0419269
"almost two months"	0.0415299
"over @@ days"	0.0411786
"first weeks"	0.0405033
"about five years ago"	0.0404334
))
("about six miles" (desc 1753.94) (sims
"about @ miles"	0.287986
"about five miles"	0.267336
"eight kilometers"	0.25782
"about @@@ km"	0.249299
"six kilometers"	0.236719
"four kilometers"	0.233817
"about two miles"	0.222653
"five kilometers"	0.215826
"eight miles"	0.214911
"about @@ km"	0.205616
"five miles"	0.205581
"nine miles"	0.197569
"seven miles"	0.193822
"a few kilometers"	0.19372
"four miles"	0.191772
"less than @@ miles"	0.18962
"about three miles"	0.186941
"about four miles"	0.177721
"one kilometer"	0.176913
"one mile"	0.173893
"hundred miles"	0.173424
"about @,@@@ kilometers"	0.172375
"Nearly @@@ miles"	0.170652
"about @@ kilometers"	0.169073
"more than @@@ kilometers"	0.162328
"a few miles"	0.159765
"three miles"	0.156278
"six miles"	0.156275
"about @@ miles"	0.154668
"three kilometers"	0.153695
"about @@@ kilometers"	0.151883
"over @@@ kilometers"	0.15184
"about @,@@@ miles"	0.149963
"more than @@ miles"	0.144368
"two miles"	0.140388
"about @@@ meters"	0.138913
"more than @@@ miles"	0.137495
"about @@@ miles"	0.13646
"about @@@ yards"	0.131626
"half mile"	0.11414
"two kilometers"	0.113498
"a few yards"	0.106946
"more than @,@@@ miles"	0.100599
"about one kilometer"	0.0947041
"a few meters"	0.0931911
"about @@ meters"	0.091504
"quarter mile"	0.0814307
frontlines	0.0787566
"about @@ yards"	0.0717897
"hundred yards"	0.0711825
"five meters"	0.0621134
"a few hundred yards"	0.0601419
"Antelope Valley"	0.0601005
"Highway @@"	0.0591682
"Interstate @"	0.0577825
"about @@ degrees"	0.0570745
"about two hours"	0.0557509
"Lake Ontario"	0.0545924
"New Territories"	0.0520989
"about three hours"	0.0515557
policewoman	0.0513639
www	0.0504376
foothill	0.0503898
Drenica	0.0501884
"a few points"	0.0486168
heliport	0.0480196
"Highway @@@"	0.0479452
"breaking away"	0.0464457
"state highway"	0.0463251
"four inches"	0.0459341
kibbutz	0.0458979
"order form"	0.0451608
http://www	0.0448932
"Route @"	0.0448931
furlough	0.0448815
"three meters"	0.0447791
Stansted	0.0442885
"Westlake Village"	0.0441058
"Williamson County"	0.0437661
"about one hour"	0.0432741
one-timer	0.0427454
jut	0.0426558
motoring	0.0425288
chased	0.0425047
"about @@@ points"	0.042348
"Mojave Desert"	0.0423197
"Delaware River"	0.0422891
"steel mill"	0.0421988
"Outer Banks"	0.0416203
"Shiite Muslim"	0.0414811
DrKoop.com	0.0408289
"Thousand Oaks"	0.0406915
"Ventura County"	0.040472
))
("about six months" (desc 2985.41) (sims
"about four years"	0.175065
"about two years"	0.169673
"about three weeks"	0.138594
"about two weeks"	0.134026
"more than six months"	0.133025
"about six weeks"	0.128079
"about @@ months"	0.124601
"six to eight weeks"	0.120764
"five weeks"	0.118096
"more than three months"	0.117868
"more than four years"	0.116362
"almost two hours"	0.115591
"about two months"	0.114179
"about @@ days"	0.113365
"about @@ hours"	0.113332
"another @@ years"	0.111814
"more than two hours"	0.109044
"two to three years"	0.107377
"a few weeks"	0.107136
"five months"	0.107048
"seven weeks"	0.106664
"about one hour"	0.106547
"about three months"	0.105594
"more than two months"	0.104392
"another two years"	0.103348
"about two minutes"	0.103199
"Less than two weeks"	0.102819
"up to @@ months"	0.101072
"more than three hours"	0.100774
"about three years"	0.100592
"up to @@ minutes"	0.100303
"nearly two months"	0.0999167
"more than @@ minutes"	0.099367
"eight months"	0.0990386
"six months"	0.0984936
"another @@ months"	0.0968954
"more than one year"	0.0967464
"four weeks"	0.0966614
"more than four hours"	0.0965829
"nearly two hours"	0.0950864
"three months"	0.0949427
"more than @@ days"	0.0948273
"up to six months"	0.0948086
"another two weeks"	0.0933505
"about @@ years"	0.0931613
"four months"	0.0930921
"over @@ hours"	0.0923269
"more than five years"	0.0922269
"about five years"	0.091585
"a few months"	0.09024
"another five years"	0.0894518
"more than two years"	0.0892335
"three to five years"	0.0891804
"less than two hours"	0.0890619
"one week"	0.0880181
"more than five hours"	0.0878197
"less than three weeks"	0.0877986
"a few days"	0.0867729
"almost @@ years"	0.0866031
"five to @@ years"	0.0861171
"seven months"	0.0858338
"two months"	0.0857826
"another six months"	0.0850881
"nine months"	0.0843912
"over two hours"	0.0839292
"a few years"	0.0836817
"nearly @@ minutes"	0.0826361
"up to three months"	0.082579
"eight days"	0.0816912
"almost two decades"	0.0816773
"more than @@ years"	0.081296
"more than three years"	0.08104
"nearly @@ hours"	0.0805883
"nearly six years"	0.080144
"less than @@ hours"	0.0801345
"about three hours"	0.0796388
"about five minutes"	0.0795402
"three to six months"	0.0795168
"up to three years"	0.0794706
"about four hours"	0.0787857
"eight weeks"	0.0780855
"Ten minutes"	0.0778262
"nearly two years"	0.0777622
"up to @@ days"	0.0769287
"another @@ days"	0.0767039
"more than six years"	0.0765287
"more than five minutes"	0.076281
"four to six weeks"	0.0759497
"seven hours"	0.0752679
"eight years"	0.0751042
"a few hours"	0.0747723
"less than three months"	0.0747681
"six weeks"	0.0747211
"one month"	0.0745567
"about @ @/@ hours"	0.0739556
"up to @@ hours"	0.0736263
"almost two years"	0.073243
"seven days"	0.0731453
"more than @@ months"	0.0725785
"up to two years"	0.0723238
"one year"	0.0718851
"hundred years"	0.0717609
"nearly three years"	0.0714456
"a few minutes"	0.0711062
"three weeks"	0.0708131
"less than two months"	0.0708125
"two decades"	0.0705132
"about two hours"	0.07049
"another four years"	0.0700856
"four days"	0.0700321
"nine years"	0.0698854
"another @@ minutes"	0.0693513
"over @@ years"	0.0685368
"more than @@ hours"	0.0684629
"four decades"	0.0681307
"four hours"	0.0678521
"two hours"	0.0678501
"six decades"	0.0678111
"more than @,@@@ years"	0.0676605
"three hours"	0.0664083
"nearly three hours"	0.0663845
"nine hours"	0.0661719
"up to five years"	0.0661524
"six hours"	0.065919
"next six months"	0.0658722
"two to three weeks"	0.0655821
"nearly @@ years"	0.0654334
"about six hours"	0.0652516
"over @@ minutes"	0.0646954
"eight hours"	0.0645383
"more than eight years"	0.0644743
"less than @@ minutes"	0.0642564
"more than three weeks"	0.0618793
"about @@ minutes"	0.0618047
"one weekend"	0.0607011
"about five times"	0.0604865
"five hours"	0.06029
"one hour"	0.0599069
"three decades"	0.0591736
"nearly two weeks"	0.0588662
"ten years"	0.058832
"more than two decades"	0.0587352
"six days"	0.0583772
"five minutes"	0.0583364
BNFL	0.0582655
"less than two years"	0.057792
"eight minutes"	0.0568137
"more than seven years"	0.0567815
"nearly two decades"	0.056447
"nearly four years"	0.0558214
"almost two weeks"	0.0555926
"nearly three months"	0.055217
"million yuan"	0.054514
"Jan @@-@@"	0.0543663
"less than two minutes"	0.0541708
"almost two months"	0.053345
"more than four months"	0.0530253
"nearly five years"	0.0529725
"up to two weeks"	0.0525041
"nine years ago"	0.0515228
"more than two weeks"	0.0511608
"less than two weeks ago"	0.0511133
"about @@ to @@ minutes"	0.0505185
"next two years"	0.0501398
"up to @@ years"	0.0496837
"Five days ago"	0.0493583
"nine days"	0.0493414
"another three years"	0.0489861
"next two months"	0.0486225
"about five hours"	0.0483461
"more than @@@ years"	0.0481861
"over two years"	0.0481119
"next three weeks"	0.0474973
"almost three decades"	0.0473753
"over five years"	0.0465261
"over three years"	0.0464229
"next @@ hours"	0.0458558
"ten days"	0.0458334
"over @@@ years"	0.0453152
"first @@ years"	0.0450767
"two days ago"	0.0449471
"nearly three weeks"	0.0447834
"nearly three decades"	0.0443353
"less than three years"	0.0443014
"next two weeks"	0.0432241
"three days ago"	0.0429827
"nearly @@ months"	0.0425664
eon	0.0421511
"about two months ago"	0.0420937
"about @@ years ago"	0.041957
"seven minutes"	0.0415352
"three months ago"	0.041296
"billion yuan"	0.0412644
"one billion US dollars"	0.0407803
"more than @@@,@@@ yuan"	0.0403971
"about two years ago"	0.0401788
"more than @@@ million dollars"	0.0401075
))
("about six weeks" (desc 1427.44) (sims
"about two minutes"	0.134254
"another two weeks"	0.130913
"about six months"	0.128079
"more than @@ days"	0.114218
"six to eight weeks"	0.114018
"nearly @@ minutes"	0.11273
"over @@ hours"	0.112598
"about two weeks"	0.111485
"another four years"	0.110861
"up to @@ minutes"	0.110637
"about three weeks"	0.108978
"up to three months"	0.107782
"up to six months"	0.104779
"more than five minutes"	0.103516
"about @ @/@ hours"	0.10207
"more than three hours"	0.100295
"two to three weeks"	0.0993576
"more than two weeks"	0.0982494
"three to five years"	0.0981376
"almost two hours"	0.0977215
"about one hour"	0.0976503
"about six hours"	0.0969056
"more than five hours"	0.0967499
"about three months"	0.0961355
"about five minutes"	0.0952608
"a few weeks"	0.095201
"about @@ hours"	0.0939532
"another five years"	0.0939479
"about two months"	0.0933851
"another @@ minutes"	0.0932222
"another @@ years"	0.0925354
"over two hours"	0.0922486
"four to six weeks"	0.0907289
"about three years"	0.0891215
"more than three weeks"	0.0872969
"nearly @@ hours"	0.0855418
"about four hours"	0.0850133
"almost two months"	0.0849679
"five weeks"	0.0847983
"two to three years"	0.0841758
"more than three months"	0.0840179
"nearly two hours"	0.0839111
"up to @@ months"	0.0837996
"seven weeks"	0.0833401
"nearly three weeks"	0.0813447
"nearly three months"	0.0807912
"up to two years"	0.0802442
"another six months"	0.0796059
"more than two hours"	0.0795043
"up to three years"	0.0789509
"about two years"	0.0786894
"another @@ days"	0.0785451
"up to @@ days"	0.0782265
"about three hours"	0.0780735
"about two hours"	0.0776509
"another two years"	0.0775748
"one month"	0.0762397
"up to two weeks"	0.0756283
"three to six months"	0.0755344
"more than six months"	0.0748453
"six weeks"	0.0743559
"up to @@ hours"	0.0741691
"about @@ days"	0.0741621
"another @@ months"	0.0737023
"eight days"	0.0735501
"nearly five years"	0.0723588
"about @@ to @@ minutes"	0.0720804
"more than four years"	0.0718055
"about @@ months"	0.0715736
"about four years"	0.0709876
"more than four hours"	0.0705811
"one week"	0.0703477
"a few months"	0.0700023
"over @@ minutes"	0.0696172
"more than one year"	0.0690647
"less than two hours"	0.0668436
"almost three years"	0.0651859
"seven hours"	0.0647637
"hundred years"	0.0641074
"less than two minutes"	0.0638905
"less than @@ hours"	0.0635265
"four weeks"	0.0634613
"eight months"	0.0632256
"nearly three years"	0.0627901
"less than five minutes"	0.0624318
"more than @@ minutes"	0.0623417
"eight weeks"	0.0620047
"ten days"	0.0611377
"nearly six years"	0.0610246
"almost two weeks"	0.0603233
"almost two decades"	0.0601929
"another three years"	0.0598907
"nearly two weeks"	0.0594179
"more than seven years"	0.0587141
"nine years ago"	0.0585285
"more than three years"	0.0585252
"more than two months"	0.0584645
"nine hours"	0.0584077
"nine days"	0.0574741
"more than @@ hours"	0.0568459
"less than three months"	0.0566673
"seven days"	0.0562692
"less than three years"	0.055935
"about five hours"	0.0557393
"about four times"	0.0553743
"more than two years"	0.0550356
"less than two years"	0.0550202
"Less than two weeks"	0.053678
"nearly @@ months"	0.0531635
"nearly four years"	0.0522584
"almost @@ years"	0.0511598
"almost two years"	0.051043
"about five years"	0.0510007
"more than four months"	0.0505747
"about @ hours"	0.0504376
"next three weeks"	0.0501719
"eight minutes"	0.0499949
"over @@ years ago"	0.0495579
"more than eight years"	0.0495273
"nearly two months"	0.0495068
"up to @@ years"	0.0491489
"more than five years"	0.0478865
"less than @@ minutes"	0.0476104
"Aug @@-@@"	0.0472798
"more than six years"	0.0471401
"less than three weeks"	0.0467377
"nearly two years"	0.0461056
"nine weeks"	0.0457503
"more than @,@@@ years"	0.0447922
"up to five years"	0.0442939
"Ten minutes"	0.0438833
"about @@ times"	0.0431275
"nearly four hours"	0.0431013
"Five days ago"	0.0428512
"a few decades"	0.041677
"more than @@@ years"	0.0415448
"less than three minutes"	0.0407188
"about three years ago"	0.0400906
"about five times"	0.0400638
))
("about three" (desc 7165.12) (sims
"about two"	0.243347
"nearly three"	0.227701
"about six"	0.226944
"about four"	0.218785
"more than six"	0.182231
"Nearly two"	0.166259
"More than two"	0.164084
"about five"	0.163361
"nearly four"	0.161048
"more than three"	0.159115
"about seven"	0.157858
"about eight"	0.151881
"almost one"	0.138511
"more than four"	0.130844
"Less than one"	0.129621
"nearly one"	0.129533
"almost two"	0.128645
"up to three"	0.125762
"About one"	0.124455
"more than five"	0.123222
"about @"	0.121508
"less than two"	0.119603
"roughly one"	0.115224
"about @@"	0.113712
"up to @,@@@"	0.11271
"more than eight"	0.111387
"more than one"	0.108202
Fifteen	0.104272
"nearly @,@@@"	0.101433
"up to four"	0.096632
"over three"	0.0965016
"nearly @@,@@@"	0.0945277
"nearly @@@"	0.0937563
"up to two"	0.0931937
"Around @@@"	0.091528
Nineteen	0.0913745
Twelve	0.0899972
"six million"	0.0896976
"other @@@"	0.0887473
"about nine"	0.0885386
Sixteen	0.0884075
slain	0.0880037
"three million"	0.0878619
"about @@.@ million"	0.0877778
"Another two"	0.0875063
"two to three"	0.087477
Thirteen	0.0873099
"about @ million"	0.0870178
"two dozen"	0.0864839
Thirty-five	0.086449
Thirty	0.0860681
nonwhite	0.0858461
"Two hundred"	0.0850423
"almost @@,@@@"	0.0849445
"about @@@"	0.0846737
"More than nine"	0.084456
"more than seven"	0.0841938
"up to five"	0.0836092
"Nearly @.@ million"	0.0835479
"roughly @@@"	0.0832106
"more than @"	0.0830231
"over @,@@@"	0.08271
"About @,@@@"	0.0825429
"about @.@ million"	0.0824876
"more than @,@@@"	0.0817329
"over two"	0.0816078
"up to @@,@@@"	0.0813411
"more than @ million"	0.0812245
"Four million"	0.0810521
"One Million"	0.0808657
"roughly @@"	0.0807553
"five million"	0.0806567
Thirty-three	0.0806252
"more than @@,@@@"	0.0803467
"almost @,@@@"	0.0801609
"another four"	0.0801251
"almost @@@"	0.0796983
twenty	0.0795476
"another @"	0.0795252
"up to six"	0.0788585
"about @@ to @@"	0.0785853
seven	0.0780046
"more than @@@"	0.0779237
Fifty	0.0770802
eighty	0.0770233
"eight to @@"	0.0767041
"more than @@ million"	0.0765786
"about @.@"	0.07654
"a few"	0.0763856
"less than @@"	0.0763402
nine	0.0757898
"over @@@"	0.0753083
"nearly @@@,@@@"	0.0748893
"another @@"	0.0746457
"Over one"	0.0744312
"four to five"	0.074342
"half a dozen"	0.0741159
"about @@ million"	0.0739184
"more than @@@,@@@"	0.0737183
"six to eight"	0.0733424
"up to @@@"	0.0733357
"up to @@"	0.0733104
"about @@@,@@@"	0.0732227
Korean-American	0.07157
"over @@,@@@"	0.0715085
"more than one million"	0.0711323
"roughly @,@@@"	0.0709775
"over four"	0.0709561
Eighteen	0.0708666
"Seven million"	0.0708191
"more than @@"	0.0704833
"almost @"	0.0697912
"More than @.@ million"	0.0692952
"less than five"	0.0692728
"about @@,@@@"	0.0692165
Fourteen	0.0690613
"up to one"	0.0683021
"over five"	0.0681716
"less than @@@"	0.0679993
forty	0.0679808
"over @@@,@@@"	0.0678776
"nearly @"	0.0678424
Forty-four	0.0678092
nerdy	0.0671473
"about @.@ billion"	0.0668258
"nearly @@"	0.0667389
Twenty-five	0.0662243
Eleven	0.0661589
"nearly @ million"	0.0660403
"over six"	0.0659963
twenty-six	0.065565
"Other @@"	0.0646584
"up to @@ million"	0.0644448
Asian-American	0.0644339
"almost @@@,@@@"	0.0641064
"four to six"	0.0638311
"almost @@"	0.0638177
"first three"	0.0635204
Thirty-six	0.0633926
Amish	0.0630502
"three to five"	0.0629127
"working class"	0.0628479
"eight million"	0.0625417
"Orthodox Jewish"	0.0625284
Thirty-eight	0.0625014
"nearly @@ million"	0.0624324
"first @@"	0.0622494
"first five"	0.0621316
"other six"	0.0620756
"over @ million"	0.0619814
"more than four million"	0.0619598
"About one million"	0.0618657
"three pitchers"	0.0609909
Younger	0.0606633
"Another eight"	0.0603909
"another three"	0.0602035
"almost @@ million"	0.059934
"another six"	0.0597414
non-Jewish	0.0596812
"A few key"	0.0596751
"Over one million"	0.0596528
"other five"	0.0595474
"more than @@@ million"	0.0595086
"less than @,@@@"	0.0594761
"three to four"	0.0594604
"two million"	0.0593058
"mentally retarded"	0.0589546
"over seven"	0.0586608
"two billion"	0.0582513
Forty-seven	0.0581982
"About three million"	0.0581758
Forty-five	0.05806
"close to @@"	0.0578555
"five to @@"	0.0576695
twenty-four	0.0575576
seventy	0.0572875
"about @@-@@"	0.0566752
sixty	0.0565186
"less than @"	0.0565025
"almost @ million"	0.0564721
"roughly @@,@@@"	0.0564635
"up to @ million"	0.0564477
"another @@@,@@@"	0.0562883
"over @@"	0.0560999
"over @.@@ million"	0.055983
"another five"	0.055929
Thirty-nine	0.0559108
Hasidic	0.055631
"Irish Catholic"	0.0556048
"African American"	0.0555754
"first two"	0.0555574
Thirty-four	0.0552211
"More than two million"	0.0551032
"nearly @@@ million"	0.0549925
forgotten	0.0549276
"roughly @@@,@@@"	0.0546974
"up to eight"	0.054636
"six to @@"	0.0545516
"up to seven"	0.0541066
"Israeli Arab"	0.0540633
))
("about three hours" (desc 3289.62) (sims
"about two hours"	0.283914
"about four hours"	0.242673
"more than two hours"	0.242524
"about one hour"	0.220221
"seven hours"	0.213468
"about @@ hours"	0.212206
"six hours"	0.20704
"five hours"	0.20602
"a few hours"	0.205236
"nearly @@ hours"	0.20456
"more than three hours"	0.204478
"nine hours"	0.203269
"more than @@ hours"	0.201624
"about @@ minutes"	0.191674
"about six hours"	0.189991
"three hours"	0.189885
"four hours"	0.187405
"two hours"	0.183097
"more than five hours"	0.183051
"nearly four hours"	0.180479
"about @ @/@ hours"	0.177873
"eight hours"	0.176363
"less than two hours"	0.172842
"over two hours"	0.171914
"about five hours"	0.167169
"about two minutes"	0.164444
"nearly two hours"	0.162981
"a few minutes"	0.153741
"nearly three hours"	0.15124
"seven weeks"	0.144986
"over @@ hours"	0.141893
"about five minutes"	0.140875
"more than @@ minutes"	0.132539
"a few days"	0.130505
"nearly @@ minutes"	0.127759
"six days"	0.127428
"nearly two weeks"	0.126862
"eight days"	0.124523
"more than four hours"	0.122586
"four days"	0.121418
"more than three months"	0.117482
"less than @@ minutes"	0.112974
"five weeks"	0.112516
"about four years"	0.112138
"three days"	0.11177
"three weeks"	0.110763
"five days"	0.110532
"six to eight weeks"	0.110336
"up to @@ hours"	0.109965
"two days"	0.109778
"more than two years"	0.10914
"four weeks"	0.108839
"up to six months"	0.108349
"five minutes"	0.107897
"another @@ years"	0.107258
"one hour"	0.106319
"another @@ minutes"	0.105087
"nine years"	0.105022
"about two weeks"	0.104501
"about @@ months"	0.10444
"about two months"	0.104429
"one week"	0.100275
"four months"	0.0985683
"nine days"	0.0984219
"over @@ minutes"	0.0981767
"almost two hours"	0.0978072
"more than two months"	0.0975537
"one month"	0.0959622
"nearly two months"	0.0954057
"ten days"	0.0949712
"less than @@ hours"	0.0937121
"six weeks"	0.0936503
"five months"	0.0935577
"about @ hours"	0.0933078
"about @@ days"	0.0929432
"a few months"	0.0927516
"nine months"	0.0922764
"eight months"	0.0917429
"about two years"	0.0911657
"two nights"	0.0906364
"three months"	0.0904785
"seven days"	0.08974
"up to three years"	0.0881224
"eight weeks"	0.0877715
"Less than two weeks"	0.0868414
"about three weeks"	0.0862613
"three nights"	0.0861247
"more than six months"	0.0859853
"seven miles"	0.0853541
"a few weeks"	0.0847598
"two minutes"	0.0844163
"a few years"	0.083829
"more than one year"	0.0835413
"another six months"	0.083196
"two months"	0.0827538
"up to @@ days"	0.0823359
"more than three years"	0.0823103
"nine miles"	0.081904
"three days ago"	0.0813457
"more than six years"	0.081321
"nine minutes"	0.0807869
"up to three months"	0.0797517
"more than eight years"	0.0796713
"about six months"	0.0796388
"less than five minutes"	0.0785827
"about six weeks"	0.0780735
"eight minutes"	0.0780526
"about three months"	0.0780143
"one night"	0.0780047
"eight years"	0.0766347
"more than two weeks"	0.0763334
"about @@@ km"	0.0761597
"up to @@ minutes"	0.0741558
"less than three minutes"	0.074099
"another five years"	0.0740825
"two to three weeks"	0.0738959
"more than five years"	0.0737604
"another @@ days"	0.0726459
"more than @@ days"	0.0725172
"one year ago"	0.0723805
"another two weeks"	0.0720507
"almost three years"	0.0720111
"about @@ years"	0.0717253
"over two years"	0.0713499
"another two years"	0.0710007
"seven minutes"	0.0703667
"almost @@ years"	0.0703601
"about @@ km"	0.069741
"about three years"	0.0696597
"over three days"	0.0693686
"three minutes"	0.0688554
"about two miles"	0.0682422
"three kilometers"	0.0682297
"nearly three weeks"	0.0681003
"two to three years"	0.0677586
"five kilometers"	0.0676285
"six years"	0.0675923
"about two weeks ago"	0.0675825
"two weeks ago"	0.0674409
"seven years"	0.0671251
"more than @@@ kilometers"	0.0663382
"Four minutes"	0.0662975
"seven months"	0.0662029
"two decades"	0.0657254
"up to @@ months"	0.065664
"days ago"	0.0655881
"six kilometers"	0.0652204
"six minutes"	0.0651161
"nearly two years"	0.0646483
"one minute"	0.0640849
"more than three weeks"	0.063938
"nearly three months"	0.0638393
"about @,@@@ miles"	0.0637711
"eight miles"	0.0630984
"nearly five years"	0.0621368
"four miles"	0.0620944
"nine days ago"	0.0616573
"almost two weeks"	0.0608849
"three years ago"	0.0599185
"three to six months"	0.0598078
"more than @@ miles"	0.0597274
"last four days"	0.0595635
"eight months ago"	0.0594647
"over @@ years"	0.0591392
"third day"	0.0589298
"nearly two decades"	0.0588984
"eight kilometers"	0.0588976
"more than five minutes"	0.0588797
"more than three decades"	0.0582251
"a few kilometers"	0.0579333
"ten years"	0.0576651
"a few days ago"	0.0575509
"about @ miles"	0.0575361
"about two months ago"	0.0572884
"about five years"	0.057034
"nine weeks"	0.0567885
"three decades"	0.0565766
"one kilometer"	0.0564084
mid-morning	0.0560072
"over three years"	0.0558948
"three to five years"	0.0558763
"next @@ minutes"	0.0555828
mid-afternoon	0.0550976
"Ten years ago"	0.0549222
half-hour	0.054838
"five weeks ago"	0.0548154
"six miles"	0.0548048
"about five miles"	0.0547553
"up to two weeks"	0.0544342
"more than four years"	0.0542463
"nearly @@ years"	0.0540698
"up to two years"	0.0536136
"four nights"	0.0535796
"week ago"	0.0533434
"hundred miles"	0.0532774
"two miles"	0.0531903
"more than four months"	0.0530176
"more than @@ months"	0.0521267
"more than @,@@@ years"	0.0517595
"about six miles"	0.0515557
))
("about three miles" (desc 3153.58) (sims
"about @ miles"	0.239181
"about two miles"	0.227031
"eight kilometers"	0.222505
"three kilometers"	0.221649
"eight miles"	0.204332
"about four miles"	0.199936
"about five miles"	0.189212
"three miles"	0.188547
"about six miles"	0.186941
"five kilometers"	0.186318
"four kilometers"	0.180607
"seven miles"	0.179904
"six kilometers"	0.177275
"a few kilometers"	0.176626
"four miles"	0.170815
"two miles"	0.168856
"about @@ km"	0.164084
"Nearly @@@ miles"	0.163573
"nine miles"	0.160699
"a few miles"	0.158949
"less than @@ miles"	0.157451
"hundred miles"	0.15193
"about @@@ km"	0.151569
"about @@ miles"	0.151109
"about one kilometer"	0.14666
"about @@@ meters"	0.140297
"one kilometer"	0.138437
"about @@ kilometers"	0.133299
"one mile"	0.133234
"five miles"	0.13052
"more than @@ miles"	0.128364
"about @@@ yards"	0.124515
"more than @@@ kilometers"	0.122765
"six miles"	0.122131
"over @@@ kilometers"	0.121373
"a few yards"	0.118972
"about @@@ miles"	0.116437
"half mile"	0.115626
"about @@@ kilometers"	0.114357
"more than @@@ miles"	0.113808
"about @,@@@ kilometers"	0.112649
"two kilometers"	0.105859
"hundred yards"	0.104552
"about @,@@@ miles"	0.103074
"a few hundred yards"	0.0853684
"about @@ yards"	0.0820375
"more than @,@@@ miles"	0.0811682
"quarter mile"	0.0773365
"a few meters"	0.0723
licking	0.0613848
"Fred Brathwaite"	0.0591297
Drenica	0.0572777
jut	0.0570981
"about @@ meters"	0.0568031
frontlines	0.0540015
landfall	0.0487368
"Westlake Village"	0.0469965
"about three hours"	0.045895
"about two hours"	0.0437418
"observation post"	0.0428689
"Appalachian Trail"	0.0416247
"state highway"	0.0413857
"Highway @@@"	0.0413655
atoll	0.0410168
"Highway @@"	0.0406927
"Interstate @"	0.0404288
))
("About three million" (desc 870.721) (sims
"More than two million"	0.326602
"About two million"	0.320159
"more than four million"	0.309313
"More than three million"	0.297725
"About one million"	0.285819
"eight million"	0.28182
"Nearly @.@ million"	0.261026
"Seven million"	0.259509
"three million"	0.25637
"five million"	0.254533
"Four million"	0.250957
"over @.@ million"	0.246218
"Over one million"	0.245483
"Over two million"	0.239644
"over @@ million"	0.239378
"about @@.@ million"	0.236828
"nearly one million"	0.235673
"almost @ million"	0.227176
"about @.@ million"	0.225677
"up to @ million"	0.224813
"over @.@@ million"	0.224443
"More than @.@ million"	0.220174
"up to @@ million"	0.219738
"more than one million"	0.218514
"up to @@@,@@@"	0.218441
"two million"	0.217917
"more than @@ million"	0.213161
"nine million"	0.211773
"nearly @@ million"	0.207937
"another @ million"	0.206001
"almost @@ million"	0.205198
"about @ million"	0.203954
"nearly @@@,@@@"	0.203931
"about @@ million"	0.203413
"over @ million"	0.196759
"Another @@ million"	0.196627
"more than @@@ million"	0.195572
"six million"	0.194819
"almost @@@,@@@"	0.192846
"nearly @@@ million"	0.191438
"roughly @@@,@@@"	0.190246
"more than @ million"	0.18874
"another @@@,@@@"	0.178844
"nearly @ million"	0.17581
"One Million"	0.174631
"up to @@,@@@"	0.173373
"About @.@@ million"	0.172275
"over @@@,@@@"	0.170722
"another @.@ million"	0.169418
"more than @.@@ million"	0.167875
"more than @@@,@@@"	0.164459
"over @@@ million"	0.159628
"over @@,@@@"	0.154859
"roughly @,@@@"	0.151761
"up to @,@@@"	0.150622
"about @@@,@@@"	0.146861
"roughly @@,@@@"	0.145187
"up to seven"	0.143264
"about @.@ billion"	0.141327
"almost @@,@@@"	0.141062
"nearly @@,@@@"	0.137472
"close to @@,@@@"	0.13729
"Three billion"	0.134359
"another @@@ million"	0.130423
"About @ billion"	0.130215
"more than @ billion"	0.128896
"Another @,@@@"	0.127381
"another @@,@@@"	0.126074
"about @@,@@@"	0.124115
"more than @.@ billion"	0.123601
"two billion"	0.123228
"over @,@@@"	0.120486
non-Jewish	0.118629
"less than @,@@@"	0.11744
"nearly @,@@@"	0.116239
"more than @@,@@@"	0.115667
"close to @,@@@"	0.114019
"about @@@ million"	0.112796
"less than @@,@@@"	0.112277
"almost @,@@@"	0.10914
"Around @@@"	0.106019
"one billion"	0.103239
"six billion"	0.101988
Okinawan	0.0983545
"four to six"	0.0983263
"Another @@@"	0.0964796
non-Hispanic	0.0958192
"about @@@ to @@@"	0.0956061
"more than @@@@"	0.0853603
"Around @@"	0.084997
non-Indian	0.0842581
"nearly @@@"	0.0835084
"six to eight"	0.0819283
"turning away"	0.0811993
"up to six"	0.0802425
"fourth generation"	0.0799409
nonwhite	0.0799186
"up to @@@"	0.0788269
Hmong	0.0786152
"about @.@"	0.0784028
"ten thousand"	0.0775151
"more than ten"	0.0772154
Eighteen	0.0754914
"More than two"	0.0753495
"Two hundred"	0.0745816
Thirty-five	0.0739995
"another six"	0.0733381
"about @@ billion"	0.0729544
non-Muslim	0.0729467
"Three hundred"	0.0723393
"first @@@"	0.0720019
"more than six"	0.0715858
"more than seven"	0.0713271
Forty-seven	0.0710443
health-conscious	0.070585
"more than @@ billion"	0.0696042
"up to two"	0.0692093
"more than five"	0.0685639
"up to four"	0.068028
Amish	0.0677812
"about nine"	0.0675586
Thirty-nine	0.0670387
Fifty-five	0.0669629
"mentally retarded"	0.0666541
"less than two"	0.0663976
"up to three"	0.0663479
"Kosovar Albanian"	0.066308
"five to @@"	0.0659243
Kosovar	0.0649079
"three to four"	0.0647136
"roughly @@@"	0.0635647
"about @.@@"	0.0621402
"four to five"	0.0619233
forty	0.0602007
Armenian	0.0596771
"other @@@"	0.0590857
smallholder	0.0587298
small-business	0.0584908
Thirty-four	0.0584249
Maasai	0.0582478
"about three"	0.0581758
AGL	0.0575468
"over @@ million US dollars"	0.0564634
"about two"	0.0564449
Twelve	0.0564427
southland	0.056005
"another five"	0.0558171
Ijaw	0.0556601
Thirty	0.0555162
Mexican-American	0.0552078
seventeen	0.0550508
"Ethnic Albanian"	0.0549907
Northland	0.0548001
seventy	0.054677
Ecuadorean	0.054631
"another seven"	0.0546071
"less than @@@"	0.0543953
"two to four"	0.054291
Thirty-one	0.0542151
"close to @@"	0.0539685
Younger	0.0537667
"Nearly two"	0.0533128
Thirty-eight	0.053215
Khmer	0.0529159
Forty-four	0.0528075
"almost @@@"	0.0526296
"two to three"	0.0524828
"about five"	0.0523739
Druse	0.052098
"up to five"	0.0520501
Ingush	0.0518016
"American Jewish"	0.0516131
lakh	0.05151
"more than three"	0.0514705
"North African"	0.0512252
Jing	0.0508033
Forty-five	0.0506045
"Orthodox Jewish"	0.0505495
Uygur	0.0505052
"Eastern European"	0.0502187
"voting age"	0.0490494
non-European	0.048952
"about seven"	0.048875
"about six"	0.0485908
"another three"	0.0482824
"about four"	0.048281
"more than four"	0.048027
"three to five"	0.0476446
"flag waving"	0.0472375
"second hand"	0.0469879
"retirement age"	0.0467687
Thirty-six	0.0465201
Skoda	0.0462143
"over @@@ million US dollars"	0.0457414
"West Indian"	0.0456813
Thirty-two	0.0455336
"more than eight"	0.0454919
eighty	0.045461
"Pitt County"	0.0454483
AUM	0.0452912
))
("about three months" (desc 2632.34) (sims
"about three weeks"	0.15515
"about four years"	0.152607
"about two years"	0.143815
"six to eight weeks"	0.138398
"four to six weeks"	0.138043
"seven weeks"	0.136193
"about @@ months"	0.1344
"about two weeks"	0.133144
"about two minutes"	0.131063
"about @@ days"	0.129513
"eight weeks"	0.128275
"two to three weeks"	0.117388
"up to three months"	0.1167
"about two months"	0.11393
"almost three years"	0.112417
"more than three months"	0.109745
"a few months"	0.109047
"nearly three months"	0.108537
"nearly five years"	0.108215
"another @@ months"	0.106823
"about six months"	0.105594
"a few weeks"	0.104373
"less than three months"	0.104371
"five weeks"	0.102066
"eight hours"	0.10102
"eight months"	0.0990334
"about three years"	0.0989663
"about one hour"	0.0987877
"three weeks"	0.0986727
"two to three years"	0.0981804
"over two hours"	0.0964083
"about six weeks"	0.0961355
"about five years"	0.0959671
"about five minutes"	0.0958954
"four months"	0.0951889
"another two years"	0.093721
"up to six months"	0.0914178
"about @@ years"	0.0911505
"nearly @@ hours"	0.0910974
"nine weeks"	0.0909258
"nearly two months"	0.0904798
"nine months"	0.0899848
"another @@ days"	0.0889819
"more than three years"	0.0885735
"up to @@ days"	0.0877602
"about four hours"	0.0876877
"nine years"	0.0871758
"up to two weeks"	0.0871108
"two months"	0.0862642
"more than three weeks"	0.0858982
"more than three hours"	0.0858762
"more than six years"	0.0855268
"more than @@ days"	0.0851739
"more than five years"	0.0846531
"seven years"	0.0846369
"over @@ hours"	0.0844006
"three months"	0.0840249
"up to two years"	0.0838901
"one month"	0.0832843
"nearly two years"	0.0822236
"nearly @@ minutes"	0.0818394
"five months"	0.0815416
"a few years"	0.0813469
"eight days"	0.0807781
"more than seven years"	0.0804685
"more than four years"	0.0801127
"nine hours"	0.0794468
"another @@ years"	0.0789536
"another four years"	0.0788498
"three to six months"	0.0788263
"less than three weeks"	0.0788087
"a few days"	0.0785446
"six weeks"	0.0782551
"about three hours"	0.0780143
"two nights"	0.0779896
"four weeks"	0.0779804
"up to @@ months"	0.0777023
"nearly three years"	0.0774672
"Less than two weeks"	0.0768813
"seven months"	0.0766108
"a few hours"	0.0755717
"another two weeks"	0.0749578
"one week"	0.074872
"nearly three weeks"	0.0748256
"more than two years"	0.0741871
"almost @@ years"	0.0740731
"more than @@ hours"	0.0730799
"nearly @@ years"	0.0720316
"less than three years"	0.0719038
"more than @@ minutes"	0.0715559
"about @@ minutes"	0.0711507
"more than three decades"	0.0711358
"six days"	0.0711345
"more than two weeks"	0.0708903
"up to @@ minutes"	0.0706283
"three to five years"	0.0704541
"more than @@ years"	0.0702634
"more than two months"	0.0702414
"over @@ months"	0.0698157
"nearly four years"	0.0689784
"two hours"	0.0688487
"over two years"	0.068321
"more than six months"	0.068056
"a few minutes"	0.0679322
"eight years"	0.0679194
"more than two hours"	0.067534
"three decades"	0.0674912
"another six months"	0.0671825
"about @@ hours"	0.0668956
"eight months ago"	0.0667437
"another five years"	0.0661431
"almost two years"	0.0657113
"five minutes"	0.0656659
"three hours"	0.0654358
"almost two decades"	0.0645511
"four days"	0.0645338
"five days"	0.0638808
"more than @,@@@ years"	0.063834
"more than one year"	0.0638298
"a few decades"	0.0631324
"nearly two weeks"	0.0631166
"next @@ minutes"	0.0622802
"less than @@ minutes"	0.0622227
"ten days"	0.0620494
"seven days"	0.061927
"seven hours"	0.0618975
"almost three decades"	0.0614042
"five to @@ years"	0.0612595
"over @@ years ago"	0.0612292
"more than two decades"	0.0612054
"next three weeks"	0.0610984
"nearly six years"	0.0609855
"more than four hours"	0.0609348
"ten years"	0.0603179
"almost four years"	0.0601772
"one weekend"	0.0599186
"two minutes"	0.0597825
"nearly four hours"	0.0594477
"three nights"	0.0593575
"almost two months"	0.058997
"almost two weeks"	0.0588271
"over @@ minutes"	0.0584501
"about two hours"	0.0583262
"up to five years"	0.0582703
"less than @@ hours"	0.0579758
"another three years"	0.0573933
"one hour"	0.0572108
"more than four months"	0.0571158
"about five hours"	0.0565713
"more than eight years"	0.0565426
"up to three years"	0.0557578
"less than two years"	0.0556453
"nearly two hours"	0.0554246
"four hours"	0.0553021
"six hours"	0.0547376
"nine days"	0.0530332
"almost two hours"	0.0528508
"up to @@ years"	0.052745
"February, @@@@"	0.0523137
"less than four months"	0.0521725
"less than two minutes"	0.0521559
"over @@ years"	0.0521287
"five hours"	0.0518867
"about six hours"	0.0517889
"more than @@ months"	0.051495
"more than @@ years ago"	0.0512874
"nearly two decades"	0.0505785
"less than two hours"	0.0503154
"up to @@ hours"	0.0503003
"next four months"	0.0496594
"next two weeks"	0.0495827
"over two months"	0.047501
"over @@@ years"	0.0474544
"more than @@@ years"	0.0473715
"Ten minutes"	0.0472496
"less than @@ years"	0.0470471
"last eight years"	0.0466058
"more than five minutes"	0.0463419
"more than five hours"	0.046255
"nearly seven years"	0.0459103
"decades ago"	0.0456881
"four decades"	0.0455129
"two months ago"	0.0454538
"less than two months"	0.0453303
"Five months ago"	0.045202
"over five years"	0.044963
"more than four decades"	0.04487
"three minutes"	0.0444781
"last three weeks"	0.0443513
"about two years ago"	0.0438779
"seven decades"	0.0438538
"less than three minutes"	0.0433523
"seven months ago"	0.0430825
mid-November	0.0430564
"nearly @@ months"	0.0429064
"six years ago"	0.0425035
"three months ago"	0.0422735
"next four years"	0.0422
"over three years"	0.0420771
"six minutes"	0.0419131
))
("about three percent" (desc 1014.78) (sims
"less than @.@ percent"	0.245058
"about five percent"	0.232154
"about two percent"	0.217067
"about four percent"	0.21504
"less than one percent"	0.194549
"about @.@@ percent"	0.187153
"over @@.@ percent"	0.170994
"two percent"	0.170958
"one sixth"	0.161546
"less than five percent"	0.158614
"eight percent"	0.153942
Four-fifths	0.151052
"more than @.@ percent"	0.150278
two-third	0.148816
"about @.@ percent"	0.147789
"ten percent"	0.144762
"six percent"	0.142984
"roughly two-thirds"	0.14216
"about one percent"	0.141637
"seven percent"	0.140958
"About @@.@ percent"	0.140692
"another @.@ percent"	0.139582
"nine percent"	0.137226
"five percent"	0.137008
"over one third"	0.136893
"nearly one-fourth"	0.135882
"three percent"	0.134479
"one percent"	0.132428
"About @@ per cent"	0.13219
"one tenth"	0.130866
"up to @.@ percent"	0.13078
"one fifth"	0.128936
"over two-thirds"	0.123272
"more than one-fourth"	0.123071
"about @ percent"	0.120836
"four percent"	0.116446
"about one quarter"	0.109969
"about one third"	0.108676
"More than one third"	0.106157
"About three quarters"	0.105455
"roughly one-third"	0.104245
"more than three-fourths"	0.103904
two-fifths	0.103691
"nearly one third"	0.102788
one-seventh	0.102281
"about one-third"	0.100188
"about one-fourth"	0.0989629
one-fourth	0.0986728
"over @"	0.0981047
"about one-quarter"	0.0979314
"over one-third"	0.0961433
"one third"	0.0959326
"about one-fifth"	0.0952544
"nearly one-third"	0.0942402
one-fifth	0.0936775
"almost two-thirds"	0.0918566
"another @@.@ percent"	0.0912825
"One hundred percent"	0.090391
fifths	0.0897826
"More than one-third"	0.0897056
percent	0.0875872
one-tenth	0.0871318
thirds	0.0871276
"about @@.@ million dollars"	0.0871083
"more than one-fifth"	0.0858223
"up to @@.@ percent"	0.0842405
"less than @"	0.0828831
dollars-worth	0.0827619
"close to @@"	0.082174
"cubic meter"	0.0812014
"about two-thirds"	0.0808533
"Almost three-quarters"	0.0807834
"More than two-thirds"	0.0807807
"about @.@ million tons"	0.0790966
"about @@@,@@@ tons"	0.0786045
"nearly two-thirds"	0.0779634
"three million tons"	0.0771687
"about @ billion dollars"	0.0767952
"Over @@@ Million Dollars"	0.0763178
"barrels per day"	0.0753278
sq.km	0.0742124
"nearly one-fifth"	0.0739773
"one inch"	0.0737081
"almost one-third"	0.0732674
"Eighty percent"	0.0729275
"up to @"	0.0728934
"Ninety percent"	0.0728242
"Twenty percent"	0.0723748
"one billion US dollars"	0.071571
centimeter	0.0714275
"More than three quarters"	0.071051
"about one-tenth"	0.070013
"about three-fourths"	0.0692986
"More than three-quarters"	0.068436
liberalisation	0.0677318
"one quarter"	0.0674077
"almost @"	0.0673683
"about three-quarters"	0.0667307
"more than @@@ million dollars"	0.0651596
recidivism	0.0650874
added-value	0.0650144
"more than @@@ hectares"	0.0648498
"more than @@ billion dollars"	0.0646688
"about @@ million tons"	0.0639743
"random sample"	0.0639692
"nearly @"	0.0634967
"Thirty percent"	0.0625847
one-sixth	0.0623728
"Twenty-five percent"	0.0621703
"less than one-third"	0.0614974
"about @.@ billion US dollars"	0.0610286
"more than @@ billion US dollars"	0.060776
"Fifty percent"	0.0599512
"two billion US dollars"	0.0599479
"retail price index"	0.0593042
"more than @ billion dollars"	0.0590937
macro-economy	0.0588415
"about @@@ million dollars"	0.0586481
"about @@@ percent"	0.0582349
"over @,@@@ hectares"	0.0579477
three-fifths	0.0578412
"live birth"	0.0575643
"Ninety-five percent"	0.0574966
"Eighty-five percent"	0.0572263
"representative sample"	0.0571362
"square mile"	0.0565032
"About @@,@@@ hectares"	0.0562875
VND	0.0561488
"roughly @@"	0.0546897
possiblity	0.0545911
"gross national product"	0.054199
tabulation	0.0541603
"won @@.@ percent"	0.0539295
"nearly @@ points"	0.0535592
"one million tons"	0.053201
"about @@@,@@@ hectares"	0.0530072
"consumer durables"	0.0527646
"Fifteen percent"	0.0527097
one-eighth	0.0524006
"about $@@.@ million"	0.0522166
"more than @@@,@@@ tons"	0.0520555
"more than @ million tons"	0.0514074
"about @,@@@ tons"	0.0509324
"square foot"	0.0505077
usurpation	0.0500647
"nearly $@@"	0.0493502
rarest	0.0488689
"previous five years"	0.048865
"case history"	0.0487826
two-tenths	0.0484237
"six billion yuan"	0.0481835
"more than @@@ billion yuan"	0.0479656
"Seventy-five percent"	0.0474329
"more than @@ million tons"	0.0469184
"Bay Hill"	0.0469118
augmentation	0.0468039
"almost $@@,@@@"	0.0466679
"more than @.@ billion dollars"	0.0466317
annexation	0.0465779
one-half	0.0464801
"juvenile delinquency"	0.0462824
SIDS	0.0460943
"nearly $@.@ million"	0.0460406
All-Tech	0.0460299
three-fourths	0.0452158
globalisation	0.0451796
"about @.@@ billion dollars"	0.044802
"about @@@ acres"	0.0445933
"million tons"	0.0445509
"co- operation"	0.0443211
"about @@@ million US dollars"	0.0442951
CTV	0.0442741
"over @@ million tons"	0.0441326
"Sixty percent"	0.0439735
"over @@@,@@@ tons"	0.0439517
"Seventy percent"	0.0439426
"three million yuan"	0.0438997
"fourth generation"	0.0437328
"five million"	0.0435023
"Communist China"	0.0434693
"Fifty-five percent"	0.0430348
"more than @@,@@@ yuan"	0.0427118
"six million tons"	0.0424709
"more than @@@ million tons"	0.042225
vasectomy	0.0421939
shrinkage	0.0420647
megabits	0.0419843
"almost @,@@@"	0.0418869
"stamp duty"	0.0418727
"a few pounds"	0.0418649
"Ninety-nine percent"	0.0417268
"Nearly three-quarters"	0.0414752
"cancer death"	0.0414506
pittance	0.0412137
"Sixty-five percent"	0.0410729
"Exchange Fund"	0.0409063
nadir	0.0408711
"more than @,@@@ hectares"	0.040718
))
("About three quarters" (desc 942.473) (sims
"About @@ per cent"	0.196165
"about one percent"	0.173847
"almost two-thirds"	0.167124
"about three-quarters"	0.158274
"about one-tenth"	0.149475
"one sixth"	0.143253
"one tenth"	0.141917
"More than one third"	0.139855
"roughly two-thirds"	0.137365
"about five percent"	0.136591
"about one quarter"	0.133321
two-third	0.12807
two-fifths	0.12561
"about three-fourths"	0.124216
"nearly two-thirds"	0.122698
"nearly one-third"	0.122111
three-fourths	0.120567
"ten percent"	0.120034
"about one third"	0.117014
"More than three quarters"	0.116946
"more than one-fourth"	0.116365
Four-fifths	0.114278
"More than two-thirds"	0.113062
"over one-third"	0.113044
"more than one-fifth"	0.112501
"over two-thirds"	0.112352
"Sixty-five percent"	0.111576
one-seventh	0.110317
"nearly one-fifth"	0.108868
"about three percent"	0.105455
"less than five percent"	0.104568
"More than three-quarters"	0.103566
"one third"	0.103531
"about one-third"	0.102969
"about two percent"	0.101718
"More than one-third"	0.101503
"about two-thirds"	0.100839
"Nearly three-quarters"	0.100782
one-fourth	0.100757
"about one-quarter"	0.0997843
one-fifth	0.0993909
three-fifths	0.0980835
"about four percent"	0.0957677
thirds	0.095255
"nearly one third"	0.094262
"less than one-third"	0.0938689
"one quarter"	0.09386
"Almost three-quarters"	0.0919231
"one fifth"	0.0918645
"less than one-tenth"	0.0913404
"over one third"	0.0905019
"roughly one-third"	0.0892797
"about one-fourth"	0.0875297
one-eighth	0.0855751
"less than @.@ percent"	0.085446
"Thirty percent"	0.084715
"Fifteen percent"	0.0845764
"About @@.@ percent"	0.0830071
"almost one-third"	0.0827818
one-sixth	0.0822723
three-quarters	0.0816548
one-tenth	0.0813156
"Eighty percent"	0.0799729
tenth	0.0784525
"Forty-five percent"	0.0783562
zillion	0.078267
fifths	0.0780045
"Twenty percent"	0.0768592
"less than one percent"	0.0762209
"Seventy percent"	0.0750657
"about one-fifth"	0.0743879
"nearly one-fourth"	0.0742362
"Sixty percent"	0.0731627
"three quarters"	0.0722466
"Ninety percent"	0.071872
"Seventy-five percent"	0.0709136
"six percent"	0.069413
"about @@@ percent"	0.0679258
"over @@.@ percent"	0.0672619
"Forty percent"	0.0667322
"more than @@,@@@ yuan"	0.0662915
"another third"	0.0658741
slickness	0.0647379
"Ninety-five percent"	0.0646897
"random sample"	0.0641516
"more than @@ million US dollars"	0.0635462
"more than three-fourths"	0.0626971
looseness	0.0624063
"representative sample"	0.0618398
thousandth	0.0611396
"nine percent"	0.0610577
"two percent"	0.0610215
"Ninety-nine percent"	0.0602972
"three million yuan"	0.0600585
"Eighty-five percent"	0.060019
"Twenty-five percent"	0.0564614
"more than @.@ percent"	0.055822
"Fifty percent"	0.0547524
one-quarter	0.0541279
twenty-six	0.0540777
"more than @@ billion US dollars"	0.0536384
"Over @@@ Million Dollars"	0.0533565
ponce	0.0524262
nine-tenths	0.0521819
"core group"	0.0503586
"more than @.@ billion US dollars"	0.049903
"One hundred percent"	0.0498726
"more than @ billion dollars"	0.0492594
courting	0.0483246
"about @@.@ million dollars"	0.0482675
"another @.@ percent"	0.0479335
"Sandra Voelker"	0.0479264
millionth	0.0475353
Thirteen	0.0475169
two-tenths	0.0472027
"more than @,@@@ kilometers"	0.0469811
"close to @@"	0.0467754
"about @.@@ percent"	0.046628
"two million yuan"	0.0462061
happiest	0.0459281
"a few million dollars"	0.0457995
"more than @@@ million US dollars"	0.0457473
Twenty-seven	0.0457472
billions	0.0443859
preponderance	0.0443628
"brake system"	0.0442881
restatement	0.0442858
seven-tenths	0.0441655
"cubic meter"	0.044123
"first four days"	0.0436987
"one million dollars"	0.0436797
"a few points"	0.043458
"about @ billion dollars"	0.0431941
half-dozen	0.0431473
cost-effectiveness	0.043076
"more than @@@,@@@ yuan"	0.0429432
"first moment"	0.0428318
"one billion US dollars"	0.0421576
"about @@ tons"	0.0420136
"five billion yuan"	0.0418101
plurality	0.0416471
"two billion US dollars"	0.0414352
"about @.@ billion dollars"	0.0412827
processional	0.0411802
"about @@@ million US dollars"	0.0410126
"Fifty-five percent"	0.0407764
one-half	0.0406963
Ahold	0.04047
"about @@@ million dollars"	0.0401809
double-entendres	0.040069
"more than @.@ billion dollars"	0.0400256
))
("about three times" (desc 1726.02) (sims
"more than four times"	0.247172
"more than five times"	0.24625
"nearly three times"	0.237405
"more than three times"	0.229747
"two to three times"	0.212609
"almost three times"	0.205534
"about four times"	0.202883
"ten times"	0.202718
"more than @@ times"	0.189918
"up to @@ times"	0.186436
"about @@ times"	0.180805
"nearly @@ times"	0.172415
"Five times"	0.169353
"eight times"	0.157786
"From January to June"	0.145671
"four times"	0.14102
"about @@@ times"	0.133823
"six times"	0.131688
"two times"	0.131334
"about five times"	0.127972
"from January to May"	0.127916
"three times"	0.118852
"seven times"	0.0970865
"nine times"	0.092398
"from January to September"	0.091432
"From January to March"	0.079863
"from @@@@ to @@@@"	0.0792891
"over four years"	0.0716629
"over three years"	0.0703604
"three decades ago"	0.0698903
"almost @@ years ago"	0.0687214
"over @@ years"	0.0672328
"over six months"	0.0647872
"over six years"	0.0623739
"over @@ months"	0.0604248
"over five years"	0.0584498
nine-year	0.0580648
doggone	0.0552061
"a few days ago"	0.0546458
"less than two weeks ago"	0.0516896
"over @@ hours"	0.0515001
"from @@@@-@@@@"	0.0509077
eight-year	0.0486632
"over two years"	0.0476994
one-night	0.0463821
"about $@@.@ million"	0.0461245
"six years ago"	0.0457579
"right here"	0.0452499
"up to @@ years"	0.0451274
"almost $@ million"	0.0441818
intraday	0.043934
"seasons ago"	0.0437841
"eight days ago"	0.0426842
"two days ago"	0.04219
"half time"	0.0421426
"more than four months"	0.0420324
"about @@ years ago"	0.0410608
"more than two years ago"	0.0406146
"about three years ago"	0.0400461
))
("about three weeks" (desc 2854.85) (sims
"about four years"	0.157947
"about three months"	0.15515
"more than three months"	0.149092
"about two weeks"	0.143475
"six to eight weeks"	0.140025
"about six months"	0.138594
"more than two months"	0.136946
"about @@ months"	0.11957
"about two months"	0.119423
"about two years"	0.118954
"about one hour"	0.117972
"eight months"	0.114092
"about @@ days"	0.113984
"almost two decades"	0.11263
"two to three weeks"	0.112554
"more than six years"	0.112266
"about two minutes"	0.11028
"about four hours"	0.109355
"about six weeks"	0.108978
"nearly three years"	0.108127
"nearly three months"	0.107475
"nearly two months"	0.107257
"more than three years"	0.107003
"seven weeks"	0.106703
"another @@ years"	0.103206
"more than six months"	0.102711
"more than five hours"	0.10216
"nearly three weeks"	0.101504
"nearly two hours"	0.101352
"four weeks"	0.0998774
"a few weeks"	0.0996965
"two to three years"	0.0989484
"a few hours"	0.0976674
"more than five years"	0.0971906
"about @@ years"	0.0964534
"almost three decades"	0.0956833
"five weeks"	0.0952554
"about five hours"	0.0940128
"three to six months"	0.0933458
"almost three years"	0.0930762
"more than two years"	0.092762
"three to five years"	0.0926785
"up to six months"	0.092148
"four to six weeks"	0.0916904
"less than three months"	0.0913369
"ten years"	0.091142
"four months"	0.0903197
"more than four hours"	0.0902294
"nearly @@ hours"	0.0901535
"eight weeks"	0.0900542
"three weeks"	0.0900213
"up to @@ months"	0.0898218
"more than @@ hours"	0.0885826
"nine hours"	0.0884171
"nearly two years"	0.0879414
"nearly five years"	0.0875843
"Less than two weeks"	0.0871795
"eight days"	0.0868668
"about three hours"	0.0862613
"a few years"	0.0848841
"more than seven years"	0.0847458
"more than two hours"	0.0846016
"two months"	0.0833346
"more than two decades"	0.0829383
"nearly six years"	0.0828442
"more than one year"	0.0827721
"six hours"	0.0826178
"one month"	0.0808601
"almost two weeks"	0.0808287
"over @@ hours"	0.0807908
"a few days"	0.0806699
"five months"	0.0806334
"seven months"	0.0799971
"nine years"	0.0798794
"more than three decades"	0.0798461
"almost two years"	0.0795097
"about two hours"	0.079504
"nearly four hours"	0.0789404
"more than three hours"	0.0788926
"about @@ hours"	0.0782822
"more than two weeks"	0.0780827
"about five years"	0.0774902
"more than four years"	0.0772717
"more than @@ years"	0.0763402
"more than @@ days"	0.076252
"a few months"	0.0761285
"over two months"	0.0760444
"last three weeks"	0.0754912
"four decades"	0.0753126
"six days"	0.0748962
"almost four years"	0.0740403
"about five minutes"	0.0733767
"nine months"	0.0733507
"over two years"	0.0725183
"nine days"	0.0724211
"more than three weeks"	0.0718721
"five to @@ years"	0.0714973
"nine weeks"	0.0714865
"almost @@ years"	0.0714773
"about six hours"	0.0714222
"a few minutes"	0.0713055
"nearly @@ months"	0.0708934
"more than four months"	0.0706392
"three hours"	0.0695613
"up to @@ days"	0.069407
"ten days"	0.0693823
"over two hours"	0.0693455
"more than @@ months"	0.0692056
"four hours"	0.0688586
"about three years"	0.0684509
"seven days"	0.0683507
"five hours"	0.0682687
"up to two years"	0.0672474
"six weeks"	0.0671816
"less than two years"	0.0669277
"seven years"	0.0666651
"eight hours"	0.0663322
"eight years"	0.0662602
"almost two hours"	0.0662601
"nearly @@ years"	0.0659869
"almost two months"	0.0658619
"two decades"	0.0656864
"up to three years"	0.0656822
"four days"	0.0655382
"nearly two weeks"	0.0655101
"nearly @@ minutes"	0.0651931
"nearly four years"	0.0649295
"three decades"	0.0638207
"seven hours"	0.0632009
"five days"	0.0622247
"less than three weeks"	0.0611415
"one hour"	0.0602113
mid-June	0.0595471
"about @@ minutes"	0.0590111
"more than @,@@@ years"	0.058083
"nearly seven years"	0.0579998
"less than @@ hours"	0.0575593
"more than @@ minutes"	0.0575589
"another @@ months"	0.057136
"nearly three decades"	0.0569201
"up to three months"	0.0566369
"less than four months"	0.0562449
"next six months"	0.0560994
"next two weeks"	0.0558452
"less than two hours"	0.054917
"another two years"	0.0548824
"about @ @/@ hours"	0.0546487
"eight months ago"	0.0543578
"over @@ years"	0.0537826
"over five years"	0.0534808
"one week"	0.0525607
"less than three years"	0.052533
"next two days"	0.0524499
"nearly two decades"	0.0524363
"more than four decades"	0.0523808
"another five years"	0.0519521
"one weekend"	0.0504722
"next three weeks"	0.0497701
"Ten minutes"	0.0495627
mid-October	0.0487642
"a few decades"	0.0483351
"one minute"	0.0470532
"one night"	0.0468071
"nearly three hours"	0.0465013
"seven decades"	0.0464059
"less than two minutes"	0.046067
"less than @@ minutes"	0.0455154
"eight minutes"	0.0451956
"nine minutes"	0.0451201
"seven months ago"	0.045093
"seven minutes"	0.0446622
"two nights"	0.0444015
"July, @@@@"	0.0440942
"last nine years"	0.0440508
mid-March	0.0438266
"next two months"	0.0437923
Mid-February	0.043773
"up to @@ minutes"	0.0436451
"four quarters"	0.0428506
"more than @@@ years"	0.0424377
"over three years"	0.0423119
"June, @@@@"	0.0413729
"next @@ months"	0.0413031
"over @@@ years"	0.0411346
"next @@ hours"	0.0410286
"up to @@ hours"	0.0406843
"hundred years"	0.0406745
"over @@ years ago"	0.0402893
))
("about three weeks ago" (desc 837.51) (sims
"nearly two weeks ago"	0.169542
"three weeks ago"	0.168097
"about two months ago"	0.159383
"Five days ago"	0.153345
"more than @@ years ago"	0.14775
"eight days ago"	0.146869
"four weeks ago"	0.14146
"six months ago"	0.134072
"four months ago"	0.13402
"nine years ago"	0.132914
"one year ago"	0.130415
"less than two years ago"	0.128397
"about five years ago"	0.12837
"three months ago"	0.126369
"more than two decades ago"	0.123183
"about two weeks ago"	0.122869
"about four years ago"	0.119539
"over @@ years ago"	0.119449
"one week ago"	0.113222
"more than two years ago"	0.111651
"Five months ago"	0.111332
"five weeks ago"	0.109105
"nearly two decades ago"	0.108796
"nearly two years ago"	0.106768
"two days ago"	0.106182
"a few months ago"	0.104093
"three days ago"	0.10356
"six years ago"	0.102551
"nine days ago"	0.102427
"two weeks ago"	0.101981
"seven years ago"	0.100989
"about three years ago"	0.100296
"over six months"	0.0997373
"three years ago"	0.0987003
"summers ago"	0.0985596
"four days ago"	0.0964642
"about two years ago"	0.0962165
"about @@ years ago"	0.0945858
"about @@ months ago"	0.0929781
"six days ago"	0.0912052
"two decades ago"	0.0902987
"six weeks ago"	0.0886303
"four years ago"	0.0883269
"more than three years ago"	0.0866075
"week ago"	0.0845762
"months ago"	0.0809746
"three decades ago"	0.0799628
"less than three weeks"	0.0794933
"almost @@ years ago"	0.0790411
"Dec @@-@@"	0.078464
"eight months ago"	0.0779916
"two times"	0.0771984
"two months ago"	0.0769754
"seasons ago"	0.0758663
"nearly @@ years ago"	0.0758472
"eight years ago"	0.0748478
"nearly three years ago"	0.0712236
"less than two weeks ago"	0.0711743
"nine months ago"	0.0696592
"Less than two weeks"	0.0696291
"about @,@@@ years ago"	0.0676333
"March @@-@@"	0.0672691
"seven months ago"	0.0665855
"weeks ago"	0.0659354
"over @@ days"	0.0646155
"Sunday, May @@"	0.0630724
"Ten years ago"	0.0619324
"Sept. @@"	0.0602428
"decades ago"	0.0601377
"less than @@ hours"	0.0590761
"over @@ hours"	0.0578055
"about four hours"	0.0572563
"Oct @@-@@"	0.0570942
"first weekend"	0.0537416
"days ago"	0.0514311
"up to @@ minutes"	0.0488505
"ten days"	0.0487491
"about two months"	0.0482396
"August @@-@@"	0.0458979
"Aug @@-@@"	0.0458963
"more than @@@ years ago"	0.0456871
"March @-@@"	0.0454902
"over two years"	0.0444247
"Sunday, Oct @@"	0.0442621
"Sept @@-@@"	0.043681
"nearly three years"	0.0430853
"Jan @@-@@"	0.0412557
"eighth year"	0.0403919
"about two years"	0.0401724
))
("about three years" (desc 2986.15) (sims
"about two years"	0.149758
"about @@ years"	0.140974
"about four years"	0.133177
"another two years"	0.131642
"about five years"	0.130736
"two to three years"	0.130653
"about @@ months"	0.125354
"another four years"	0.12383
"nine years"	0.117203
"another @@ years"	0.114023
"another five years"	0.110815
"a few years"	0.108596
"four years"	0.105027
"more than six months"	0.104689
"about two minutes"	0.104536
"another two weeks"	0.104378
"four to six weeks"	0.104003
"more than four years"	0.103591
"more than six years"	0.101931
"about six months"	0.100592
"more than five years"	0.0999227
"about three months"	0.0989663
"nine months"	0.098897
"up to two years"	0.0976867
"almost @@ years"	0.0964631
"up to @@ minutes"	0.0963213
"over two years"	0.0962581
"a few months"	0.0955821
"about two weeks"	0.0947664
"nearly @@ months"	0.0942358
"more than @@ years"	0.0932396
"nearly @@ years"	0.0930108
"another six months"	0.0929905
"more than @@ minutes"	0.09269
"more than @@ months"	0.0926654
"six years"	0.092235
"more than two years"	0.0921488
"six to eight weeks"	0.0916419
"more than @@ days"	0.0907148
"over @@ hours"	0.0907032
"another @@ minutes"	0.0905087
"nearly two months"	0.0897594
"five weeks"	0.0892769
"about six weeks"	0.0891215
"about two months"	0.0891068
"eight years"	0.0878907
"more than three years"	0.086363
"more than four months"	0.0862315
"six months"	0.0861147
"nearly three months"	0.0861118
"another @@ days"	0.0860804
"ten years"	0.0858229
"nearly five years"	0.0855282
"almost four years"	0.0850882
"two decades"	0.0847581
"seven years"	0.0847192
"nearly three years"	0.0845997
"five months"	0.0844228
"seven months"	0.0841708
"seven weeks"	0.0839977
"almost three years"	0.082379
"nearly six years"	0.0822883
"three months"	0.0820234
"eight months"	0.0811083
"about five minutes"	0.0802892
"more than @@@ years"	0.0784653
"more than @,@@@ years"	0.0777886
"less than two years"	0.0777009
"almost two months"	0.0773186
"about @@ days"	0.0770593
"over two hours"	0.0767921
"more than three weeks"	0.0764579
"two to three weeks"	0.075769
"more than eight years"	0.0754989
"one year"	0.0752041
"nearly four years"	0.0746863
"four months"	0.0743441
"more than one year"	0.0739143
"up to three months"	0.073849
"more than seven years"	0.0721769
"more than two weeks"	0.0720686
"almost two years"	0.0719968
"less than @@ years"	0.0718321
"nearly two years"	0.0714168
"more than two months"	0.0700235
"a few weeks"	0.0700024
"more than three hours"	0.0698894
"over @@ minutes"	0.0698024
"about three hours"	0.0696597
"three to six months"	0.0685115
"about three weeks"	0.0684509
"another three years"	0.0684288
"nearly @@ hours"	0.068406
"another @@ months"	0.0680609
"nearly two decades"	0.0676574
"about two hours"	0.0676256
"one week"	0.0673839
"up to @@ days"	0.067024
"almost two decades"	0.0664702
"one month"	0.065965
"over two months"	0.065456
"more than five hours"	0.0651328
"less than three years"	0.0643963
"about @ @/@ hours"	0.0641399
"three to five years"	0.0639814
"about @@ hours"	0.063366
"more than two decades"	0.0632468
"more than five minutes"	0.0630427
"up to three years"	0.0623417
"about four hours"	0.0620535
"three hours"	0.0619891
"up to six months"	0.0618075
"less than @@ hours"	0.0612073
"two hours"	0.060769
"more than three months"	0.060725
"nearly two hours"	0.0604208
"next four years"	0.0602372
"more than @@ hours"	0.0601091
"nearly two weeks"	0.0599676
"a few hours"	0.0587937
"about @@ minutes"	0.0582706
"more than two hours"	0.057905
"five hours"	0.0577693
"right here"	0.0570802
"six weeks"	0.0564006
"about one hour"	0.0561311
"next six months"	0.0558588
"less than three months"	0.0557595
"up to two weeks"	0.0552771
"one weekend"	0.0551155
"short time"	0.0543832
"nearly @@ minutes"	0.0543768
"less than five minutes"	0.0535335
"nine weeks"	0.0532862
"four hours"	0.0530887
"nearly @@@ years"	0.0530343
"eight weeks"	0.0527238
"over @@ months"	0.0526086
"about six hours"	0.0524098
"last eight years"	0.0521484
"six hours"	0.0516706
"up to @@ months"	0.0514708
"more than four hours"	0.0513815
"one hour"	0.050658
"three centuries"	0.0505814
"up to @@ hours"	0.0501957
"next seven years"	0.0501271
"five decades"	0.049962
"next @@"	0.0495782
"seven hours"	0.0492762
"five to @@ years"	0.0492107
"less than @@ minutes"	0.0485911
"four weeks"	0.048235
"eight days"	0.0480299
"next two months"	0.04796
"Less than two weeks"	0.0479533
"six days"	0.0473131
"less than two hours"	0.0471933
"eight hours"	0.0466859
"six decades"	0.0464366
"almost two hours"	0.0463829
"first three years"	0.0459951
"over @@ years"	0.0455884
"last @@@ years"	0.0455771
"next two days"	0.045389
"last three years"	0.0453599
"next @@ to @@ years"	0.0449859
"about @ hours"	0.0446232
"over @@ years ago"	0.0441423
"next @@ hours"	0.0438872
"last six months"	0.0437873
"over @@@ years"	0.0436895
"about @@ to @@ minutes"	0.0432082
"next two decades"	0.0431511
"about four times"	0.0428792
"last four years"	0.0421896
"nearly three decades"	0.0421294
"seven days"	0.0417056
"a few decades"	0.0416452
"past eight months"	0.0415242
"up to @@ years"	0.0409821
"three nights"	0.0409334
"nine hours"	0.0406135
"less than three weeks"	0.0405718
"next six years"	0.0405711
))
("about three years ago" (desc 817.121) (sims
"about four years ago"	0.261071
"about @@ years ago"	0.214727
"almost @@ years ago"	0.208109
"about five years ago"	0.197279
"more than two years ago"	0.197037
"about two years ago"	0.19561
"nearly two years ago"	0.180784
"about two weeks ago"	0.180712
"about @@ months ago"	0.180236
"six years ago"	0.176674
"nine years ago"	0.161278
"nine months ago"	0.158648
"Five months ago"	0.157894
"seven years ago"	0.154673
"three decades ago"	0.154299
"six months ago"	0.150044
"more than @@ years ago"	0.145927
"seven months ago"	0.145441
"about @,@@@ years ago"	0.144998
"over @@ years ago"	0.144967
"more than two decades ago"	0.141355
"nearly @@ years ago"	0.140675
"nearly three years ago"	0.140623
"nine days ago"	0.132521
"eight years ago"	0.130798
"more than @@@ years ago"	0.129881
"five years ago"	0.127243
"more than three years ago"	0.12664
"four years ago"	0.125054
"three years ago"	0.124809
"decades ago"	0.122977
"six weeks ago"	0.122477
"years ago"	0.11902
"seasons ago"	0.114348
"four weeks ago"	0.112549
"Ten years ago"	0.111793
"four decades ago"	0.110564
"eight months ago"	0.110261
"five weeks ago"	0.106651
"a few years ago"	0.106126
"about two months ago"	0.106073
"two decades ago"	0.104254
"three months ago"	0.10323
"one year ago"	0.103101
"Five days ago"	0.10264
"two months ago"	0.101232
"about three weeks ago"	0.100296
"less than two years ago"	0.0990223
"decade ago"	0.0973524
"summers ago"	0.0917771
"three days ago"	0.0885198
"four days ago"	0.0875017
"more than @,@@@ years ago"	0.086204
"six days ago"	0.0860573
"a few months ago"	0.0847409
"months ago"	0.0836355
"three weeks ago"	0.0814192
"weeks ago"	0.0812398
"four months ago"	0.0802277
"nearly two decades ago"	0.0783721
"Sunday, May @@"	0.0770899
"days ago"	0.0753084
"eight days ago"	0.0752999
"nearly two weeks ago"	0.0749322
"time ago"	0.0741352
"Sunday, Oct @@"	0.074125
"a few days ago"	0.0736973
"over seven years"	0.0639074
"nine times"	0.0618444
"Over three decades"	0.0606163
"Tuesday, Sept @@"	0.060133
"right here"	0.0592271
"Saturday, June @@"	0.0575921
"Saturday, July @@"	0.0572053
"Dec @, @@@@"	0.0548136
"over five years"	0.0521886
"Sunday, Aug @@"	0.0519827
"over six months"	0.0518841
"Thursday, Sept @@"	0.0514358
"Monday, July @@"	0.0495774
"sixth year"	0.0486855
"February @."	0.0476844
"one week ago"	0.0460037
"less than two weeks ago"	0.0451085
"Thursday, June @@"	0.0450057
"Tuesday, July @@"	0.0443482
"Sunday, June @@"	0.0438212
"over six years"	0.0437695
"one month ago"	0.0437684
"more than @@ times"	0.0411134
"about six weeks"	0.0400906
"about three times"	0.0400461
))
("about three-fourths" (desc 1279.05) (sims
"about three-quarters"	0.20038
"roughly two-thirds"	0.187641
"about one-fourth"	0.183192
"almost two-thirds"	0.169947
three-fourths	0.164029
"More than three-quarters"	0.162643
"nearly one-fifth"	0.151762
"over one-third"	0.137431
"nearly two-thirds"	0.135986
"Forty-five percent"	0.1328
"More than two-thirds"	0.132639
"about one-third"	0.131659
"almost one-third"	0.130387
"more than three-fourths"	0.130198
"about one-fifth"	0.129945
"about one-quarter"	0.12967
"about five percent"	0.127701
"nearly one-fourth"	0.126513
"About three quarters"	0.124216
"about one quarter"	0.123578
Four-fifths	0.122072
three-quarters	0.119162
"About @@ per cent"	0.117009
one-eighth	0.116394
"Twenty-five percent"	0.115934
"about two-thirds"	0.113589
"Thirty percent"	0.113102
"Forty percent"	0.112771
"one tenth"	0.109323
"Sixty-five percent"	0.1091
"one fifth"	0.10894
"Twenty percent"	0.108577
"about one-tenth"	0.107821
"More than three quarters"	0.10719
one-fifth	0.10695
"one sixth"	0.106871
"More than one-third"	0.106551
"more than one-fifth"	0.103063
"Eighty-five percent"	0.102936
eight-tenths	0.10075
one-seventh	0.0995037
thirds	0.0984227
"over two-thirds"	0.0968373
"nearly one-third"	0.0960523
"About @@.@ percent"	0.0958611
"Eighty percent"	0.0958556
"Nearly three-quarters"	0.0954964
"Sixty percent"	0.0943959
"more than one-fourth"	0.0938321
one-quarter	0.0930688
"about one third"	0.0919383
"Ninety-five percent"	0.0908752
one-fourth	0.0907482
one-third	0.0906849
"about one percent"	0.0905397
twenty-eight	0.0895895
"Almost three-quarters"	0.0883211
"Fifteen percent"	0.0879719
"about two percent"	0.087275
two-fifths	0.0843093
three-fifths	0.0837982
"less than five percent"	0.0834113
"nearly one third"	0.0828335
Twenty-five	0.0821921
"representative sample"	0.0815648
"Ninety percent"	0.0805054
two-tenths	0.0800644
one-sixth	0.0793412
"Seventy percent"	0.0792583
"roughly one-third"	0.079133
"Fifty percent"	0.0783363
"about four percent"	0.0780415
"less than one percent"	0.0779061
nine-tenths	0.0778969
half-dozen	0.0772129
"More than one third"	0.0761063
tenths	0.0742565
"one quarter"	0.0732717
tenth	0.0727573
"Seventy-five percent"	0.0726076
twenty-two	0.0726015
"less than @.@ percent"	0.0713535
one-tenth	0.0697837
"about @.@@ percent"	0.0694743
"about three percent"	0.0692986
"one penny"	0.0679368
"one third"	0.0644174
fifths	0.0622306
seven-tenths	0.0620361
thousandth	0.061755
"One hundred percent"	0.0615938
"ten percent"	0.0614225
materialization	0.0602941
"less than one-third"	0.0597949
"sum total"	0.0589668
Fifty-five	0.0569171
singularity	0.0557883
twenty-four	0.0557588
"Kent Conrad"	0.0556658
"three quarters"	0.0543295
"General Committee"	0.0538141
"about @.@ percent"	0.0536693
squandering	0.0534299
"another third"	0.0533509
laundering	0.0523426
millionth	0.0520635
three-tenths	0.051783
reallocation	0.0512039
targeting	0.0509917
"random sample"	0.0508047
"over @@.@ percent"	0.0507938
"Fifty-five percent"	0.0507473
exigency	0.050462
preponderance	0.0504309
paucity	0.0500751
"good part"	0.0500149
subset	0.0496568
"one section"	0.0496285
splintering	0.0493314
"less than one-tenth"	0.0492348
mushrooming	0.0481757
"United Nations Convention"	0.0479437
schematic	0.0469224
enrolment	0.0467563
Nineteen	0.0466529
"another @.@ percent"	0.0463874
busload	0.0461741
hundredth	0.0458785
meatpackers	0.0458244
Balkanization	0.0457678
"cross section"	0.0454528
dispersion	0.0447182
"about @.@ million tons"	0.0445517
"six million tons"	0.0445337
"nine percent"	0.0439467
tripling	0.0436306
outperformance	0.0433802
harvesting	0.0427839
"two million tons"	0.0427075
"more than @.@ percent"	0.0419248
"square inch"	0.0417689
splitting	0.041651
Thirty-one	0.0416392
"over one third"	0.0412717
phase-out	0.041022
zillion	0.0408406
"roughly one"	0.0407896
reorientation	0.0407051
bringing	0.0406004
dollars-worth	0.0405358
Thirty-nine	0.0404361
"Dirty Blonde"	0.040392
narrowness	0.0401786
))
("about three-quarters" (desc 3426.12) (sims
"about three-fourths"	0.20038
"almost two-thirds"	0.190696
"about one-quarter"	0.177517
"nearly two-thirds"	0.176501
"roughly two-thirds"	0.17335
"about one-fifth"	0.171796
three-fourths	0.166548
"About @@ per cent"	0.165696
"nearly one-fifth"	0.158683
"About three quarters"	0.158274
"about one-tenth"	0.157051
"More than one-third"	0.151569
three-quarters	0.150078
"More than three-quarters"	0.149969
"about one-fourth"	0.149887
"about one quarter"	0.149152
"about one-third"	0.148021
"about two-thirds"	0.146548
one-fifth	0.142637
"about one third"	0.141784
"more than three-fourths"	0.140067
"More than two-thirds"	0.138196
"one tenth"	0.137547
"Eighty percent"	0.13717
one-fourth	0.136386
"Nearly three-quarters"	0.135972
"roughly one-third"	0.134229
"Seventy percent"	0.132012
"nearly one-third"	0.131102
Four-fifths	0.129036
one-eighth	0.128246
"nearly one-fourth"	0.127741
"almost one-third"	0.123732
"Sixty percent"	0.122749
"more than one-fourth"	0.120743
one-tenth	0.120684
"about five percent"	0.120478
fraction	0.119111
two-fifths	0.116422
"over two-thirds"	0.11628
three-fifths	0.115491
one-third	0.114723
"more than one-fifth"	0.114547
"About @@.@ percent"	0.114502
one-quarter	0.114306
"nearly one third"	0.114069
two-thirds	0.114029
"Seventy-five percent"	0.113126
"one sixth"	0.113053
"Twenty percent"	0.112201
"over one-third"	0.111981
"More than one third"	0.111728
"Sixty-five percent"	0.111483
one-sixth	0.110802
"Fifty percent"	0.110707
"three quarters"	0.110078
"Twenty-five percent"	0.108614
"Thirty percent"	0.107554
"over one third"	0.10755
fifths	0.107119
"Eighty-five percent"	0.106572
"one quarter"	0.106122
nine-tenths	0.105806
thirds	0.105778
tenth	0.10427
"less than one-third"	0.103595
"one fifth"	0.102993
one-seventh	0.101278
"ten percent"	0.0997192
"about one percent"	0.0996037
tenths	0.0993752
"less than @.@ percent"	0.0988514
"one third"	0.0983926
eight-tenths	0.0972936
"about four percent"	0.0960038
"less than one percent"	0.093609
"More than three quarters"	0.0927687
"about @ percent"	0.0924029
"another third"	0.0913912
two-tenths	0.0875347
"about @.@@ percent"	0.0874271
"less than one-tenth"	0.0869004
"representative sample"	0.0868501
"Forty percent"	0.0864077
bulk	0.0863856
"Fifty-five percent"	0.0850985
"Ninety percent"	0.0832337
three-tenths	0.0830731
"Almost three-quarters"	0.0825044
"less than five percent"	0.0796568
"about @.@ percent"	0.0767097
"Fifteen percent"	0.0763131
seven-tenths	0.0761044
laundering	0.0743174
percent	0.0729924
"Ninety-five percent"	0.0724472
"about @@,@@@ acres"	0.0694591
tripling	0.0687281
thousandth	0.0686964
"seven percent"	0.0681187
"more than @.@ percent"	0.0674459
"about @@@ acres"	0.0669252
"about three percent"	0.0667307
"Forty-five percent"	0.0665164
"nine percent"	0.0663925
"one penny"	0.0661402
"eight percent"	0.0627658
two-third	0.0627152
preponderance	0.0625773
chunk	0.0616643
"another @.@ percent"	0.0604767
"five percent"	0.0599476
"two percent"	0.059499
"about two percent"	0.0588326
"dollar amount"	0.0587394
"good part"	0.0586034
"about @@@ percent"	0.057894
hundredth	0.0578344
"three percent"	0.0571727
"Ninety-nine percent"	0.0571427
"one percent"	0.0569584
"sum total"	0.0566906
doubling	0.0563785
"six percent"	0.0557879
gusher	0.0550408
half-dozen	0.0544293
misappropriation	0.0543905
reallocation	0.0539594
leasing	0.0537267
"about @ million"	0.0530987
"about $@@ million"	0.052759
Twenty-seven	0.0522575
subset	0.0522137
"random sample"	0.0521122
"about @,@@@ acres"	0.05203
freeing	0.0517965
"about @@@ million dollars"	0.051743
"over @@.@ percent"	0.0510905
"about $@@@ million"	0.0508614
"about @@@,@@@ hectares"	0.0507376
"four percent"	0.0501585
millionth	0.0497023
"kilowatt hour"	0.0493756
larger	0.0487681
enumeration	0.0484748
twenty-two	0.0478409
"almost $@@,@@@"	0.0477731
"about $@.@ billion"	0.0474981
sliver	0.0472366
cardholders	0.0466956
"billion dollars"	0.0464477
penny	0.0464004
"over @@@ tons"	0.0463496
"One hundred percent"	0.0463104
"more than @.@ billion yuan"	0.0458143
one-half	0.0456967
pooling	0.0455837
"about @@.@ million"	0.0454309
lowering	0.0453375
"up to @@.@ percent"	0.0452311
"cross section"	0.0449342
"about @@ million dollars"	0.0447573
"roughly one"	0.0445223
"more than @,@@@ acres"	0.0444487
bubbly	0.0440453
twenty-four	0.0436564
"about @.@ million dollars"	0.0436061
"about @@ to @@"	0.0435671
tracking	0.0434132
namelist	0.0433877
"more than @@@ million yuan"	0.04335
"about @@ tons"	0.0425885
Thirteen	0.0424418
"nearly $@.@ billion"	0.0422214
Twelve	0.04185
comprised	0.0417405
"about $@@@ billion"	0.0415055
"thousand dollars"	0.0414285
Fifteen	0.041415
bigness	0.0411832
courting	0.0411625
"about @,@@@ tons"	0.0410613
curtailment	0.0409097
"almost $@@ billion"	0.0400836
))
("about two" (desc 11342.9) (sims
"about three"	0.243347
"about four"	0.202838
"Nearly two"	0.182717
"More than two"	0.168647
"about six"	0.162015
"about five"	0.154367
"more than six"	0.15195
"nearly three"	0.145467
"about eight"	0.135025
"more than three"	0.126679
"about @@"	0.125299
"up to three"	0.123147
"almost two"	0.119104
slain	0.118413
"about seven"	0.1163
"two dozen"	0.11597
"About one"	0.112745
"up to @,@@@"	0.110477
"more than four"	0.110091
"up to two"	0.109046
"more than five"	0.107117
"nearly @@@"	0.105863
Fifteen	0.102857
"nearly @,@@@"	0.102643
"nearly four"	0.102153
"up to five"	0.101768
"about @@@"	0.101006
"more than @,@@@"	0.099888
"other @@@"	0.0992261
"over @,@@@"	0.0990811
"nearly one"	0.0981341
"nearly @@,@@@"	0.0968456
"two to three"	0.09671
"over @@@"	0.0947314
"less than two"	0.0934166
"roughly @@"	0.0931208
"more than eight"	0.0927171
"about @@ to @@"	0.0919898
"about @"	0.0918606
"Less than one"	0.0912562
Twelve	0.0909688
"Another two"	0.0898366
Sixteen	0.0896892
"up to seven"	0.0896806
"more than @@@"	0.0893226
"more than seven"	0.0890982
"almost @@,@@@"	0.0886282
Thirty	0.0882381
"more than @@,@@@"	0.0874315
"up to six"	0.0869796
twenty	0.0868431
"over @@,@@@"	0.086378
"up to four"	0.0863256
Thirteen	0.0862033
"About @,@@@"	0.0857657
"over two"	0.0855287
"more than @@"	0.0854901
"more than one"	0.0852578
"eight to @@"	0.0851625
"roughly @@,@@@"	0.0849463
"up to @@@"	0.0848656
"about @ million"	0.083943
"roughly @@@"	0.0833832
Six	0.0817511
"nearly @@"	0.0812846
"more than @@ million"	0.0811199
"up to @@,@@@"	0.080658
"a few"	0.0805589
"three million"	0.0804353
nerdy	0.0801336
"about nine"	0.0797813
"roughly @,@@@"	0.0795038
"four to five"	0.0794522
"half a dozen"	0.0793484
Younger	0.0791656
"over @@@,@@@"	0.0790882
"One Million"	0.078903
"up to @@"	0.0788276
"nearly @@@,@@@"	0.0787894
"another @@"	0.0783139
seven	0.0782852
Fifty	0.0781216
"almost @,@@@"	0.0778606
"Four million"	0.0775315
"Around @@"	0.0774423
"eight million"	0.0764025
"more than @@@,@@@"	0.0763821
"mentally retarded"	0.076295
"Three hundred"	0.0759721
"Around @@@"	0.0757033
"more than one million"	0.0756578
Five	0.0756478
"More than nine"	0.0752454
"Nearly @.@ million"	0.0748747
"another four"	0.0748361
eight	0.0748118
Okinawan	0.0742103
"over @.@ million"	0.0733079
Eleven	0.0727648
Thirty-five	0.0727309
nine	0.0725297
Thirty-three	0.0722255
"almost @@@"	0.0719661
"Israeli Arab"	0.0719207
"more than @ million"	0.0719035
Eighteen	0.0717043
"less than five"	0.0710256
"Other @@"	0.0710103
"More than @.@ million"	0.0707668
"almost @@ million"	0.0704123
Fourteen	0.0702607
"five to @@"	0.069918
"five million"	0.0698697
"over three"	0.0695101
"another three"	0.0692089
Asian-American	0.0690901
"first @@@"	0.0688287
"other two"	0.0684672
Amish	0.0682276
"less than @@@"	0.0678701
forty	0.0675384
"more than @@@ million"	0.0674009
"about @.@ million"	0.0673429
Nineteen	0.0673246
"Irish Catholic"	0.0670742
"about @@,@@@"	0.0668966
"six to eight"	0.066869
"almost @@@,@@@"	0.0667636
"Two hundred"	0.0660193
"two million"	0.0659508
"close to @@"	0.065829
Thirty-eight	0.0656465
seventeen	0.0656006
"Over one million"	0.0654957
"up to @@@,@@@"	0.0653705
"about @@@ to @@@"	0.0652701
"six million"	0.0649499
"over @@"	0.0645343
"over four"	0.0642633
"working class"	0.0641762
Chinese-American	0.0640949
"Seven million"	0.0639464
"other five"	0.0639281
"about @@.@ million"	0.0639158
"about @@@,@@@"	0.0637921
"Over one"	0.0636992
"less than @@"	0.06307
"other eight"	0.0630041
Forty-four	0.0627611
nonwhite	0.0627501
"another five"	0.0627391
"Another @@@"	0.0624063
"about @@ million"	0.0620733
"three to four"	0.0619886
"roughly one"	0.0619582
Japanese-American	0.0618164
"nearly one million"	0.0617215
Thirty-four	0.0617099
"almost @@"	0.0616112
sixty	0.0615105
non-Jewish	0.0613373
"almost @"	0.0612034
"Kosovar Albanian"	0.0611968
Thirty-six	0.0609543
"Orthodox Jewish"	0.0608216
"about @.@"	0.0606015
"up to @@ million"	0.0605612
"nearly @@ million"	0.0604694
"close to @@,@@@"	0.0600989
self-described	0.0599069
"nearly @"	0.0597214
"almost one"	0.0591297
"another six"	0.0589495
"close to @@@"	0.0587673
"three to five"	0.0584854
"six to @@"	0.0583873
"another @@@,@@@"	0.0581776
"more than @ billion"	0.0579696
"more than @.@@ million"	0.0579062
"Another @,@@@"	0.0578599
"over six"	0.0577184
"more than @"	0.0575999
"nearly @ million"	0.057445
geeky	0.0574012
"other four"	0.0572666
"other three"	0.0572347
Forty-two	0.0571105
"Three billion"	0.0569487
Italian-American	0.0567753
"About three million"	0.0564449
"About one million"	0.0562817
"almost @ million"	0.0562675
Thirty-two	0.056113
"over five"	0.0556527
"seven to @@"	0.0554798
"two billion"	0.0553393
hippie	0.0553054
"More than three million"	0.055258
Forty-five	0.0551238
Thirty-one	0.0548356
))
("about two hours" (desc 5440.86) (sims
"about three hours"	0.283914
"about four hours"	0.219967
"about one hour"	0.209311
"about @ @/@ hours"	0.207221
"about @@ minutes"	0.192835
"about six hours"	0.192492
"more than two hours"	0.191395
"more than three hours"	0.184807
"five hours"	0.184565
"two hours"	0.182875
"six hours"	0.179712
"a few hours"	0.175161
"more than five hours"	0.170921
"four hours"	0.164507
"nearly two hours"	0.164242
"eight hours"	0.162153
"three hours"	0.161144
"about @@ hours"	0.161104
"nine hours"	0.161087
"more than @@ hours"	0.160136
"nearly four hours"	0.156888
"a few minutes"	0.152095
"nearly @@ hours"	0.150656
"seven hours"	0.148497
"about two minutes"	0.142532
"less than two hours"	0.140803
"more than @@ minutes"	0.137948
"about five minutes"	0.137004
"over @@ hours"	0.133971
"nearly @@ minutes"	0.130796
"about five hours"	0.130461
"more than four hours"	0.123452
"almost two hours"	0.122842
"over two hours"	0.119177
"about two weeks"	0.11451
"one hour"	0.113675
"nearly three hours"	0.111729
"nine miles"	0.110919
"more than three months"	0.109944
"six days"	0.109629
"another @@ years"	0.104873
"up to @@ minutes"	0.104208
"another @@ minutes"	0.10211
"four days"	0.10183
"one week"	0.101549
"four weeks"	0.10066
"another two years"	0.100568
"eight miles"	0.100072
"six to eight weeks"	0.0995452
"one month"	0.0985686
"about four years"	0.0967673
"five minutes"	0.0960055
"five days"	0.0958815
"three days"	0.0957902
"three weeks"	0.0954549
"two days"	0.0954505
"nine years"	0.0944361
"five weeks"	0.0939772
"less than @@ minutes"	0.093919
"five months"	0.0937213
"eight days"	0.0937195
"another two weeks"	0.0936734
"nearly two months"	0.092752
"five kilometers"	0.0922644
"nine months"	0.0921869
"nine days"	0.0920548
"seven weeks"	0.0918503
"about @@ months"	0.0914078
"about @ hours"	0.090136
"less than @@ hours"	0.0896969
"nearly two weeks"	0.0887655
"about @@ days"	0.0880046
"a few years"	0.0878061
"a few days"	0.0874545
"about @@ km"	0.0870306
"eight kilometers"	0.0861717
"about @@@ km"	0.0861369
"six months"	0.0855257
"six weeks"	0.0853706
"eight months"	0.0853402
"more than two years"	0.0847716
"about two months"	0.0841123
"four months"	0.0840564
"seven days"	0.0825265
"about two years"	0.0811038
"a few months"	0.0806322
"three months"	0.080324
"two months"	0.0796681
"about three weeks"	0.079504
"two weeks"	0.0791777
"more than one year"	0.0786037
"over @@ minutes"	0.078555
"more than two months"	0.0778999
"about six weeks"	0.0776509
"three kilometers"	0.0775698
"seven miles"	0.0774363
"ten days"	0.0773981
"two nights"	0.0773389
"another five years"	0.0771292
"more than six years"	0.0764935
"four miles"	0.0760052
"a few weeks"	0.0759711
"eight minutes"	0.0756581
"about five miles"	0.0747141
"two miles"	0.0741101
"about two miles"	0.0736772
"almost two months"	0.0734783
"more than four years"	0.0733149
"three days ago"	0.0731019
"up to six months"	0.073055
"two minutes"	0.0720625
"more than six months"	0.0718524
"almost two weeks"	0.0717124
"three nights"	0.0713621
"ten years"	0.0713481
"seven minutes"	0.0711795
"Less than two weeks"	0.0709953
"another six months"	0.0709587
"up to @@ hours"	0.0707289
"about six months"	0.07049
"about @,@@@ miles"	0.0704289
"more than five minutes"	0.0701273
"about @@ to @@ minutes"	0.0698217
"Ten minutes"	0.0695485
"another @@ months"	0.0695311
"over two years"	0.0690174
"a few kilometers"	0.068756
"more than @@ years"	0.0685197
"more than three years"	0.0684865
"hundred miles"	0.0684498
"seven years"	0.0682815
"eight years"	0.0676749
"about three years"	0.0676256
"up to three months"	0.0672153
"one kilometer"	0.066839
"more than two weeks"	0.0663752
"Four minutes"	0.0660313
"three to six months"	0.065969
"about @@ years"	0.065825
"two days ago"	0.0654673
"six kilometers"	0.0651473
"six miles"	0.0647274
"another four years"	0.0641069
"more than @@@ kilometers"	0.0639055
half-hour	0.0638127
"four years"	0.0633644
"about four miles"	0.0628254
"more than @@ days"	0.0627809
"one night"	0.0626703
"three miles"	0.062491
"two decades"	0.0621495
"nearly two years"	0.0615337
"three minutes"	0.0613996
"almost @@ years"	0.0607306
"up to @@ days"	0.0606468
"more than three weeks"	0.0606437
"six minutes"	0.060405
"seven months"	0.0593016
"up to two years"	0.0590665
"over three days"	0.0588009
"more than @@@ miles"	0.0586885
"about three months"	0.0583262
"one year"	0.0581863
"second day"	0.0580747
"up to three years"	0.0579057
"three decades"	0.0579037
"days ago"	0.0577964
"one year ago"	0.0575142
"four kilometers"	0.0574402
"about @@@ miles"	0.0573121
"one minute"	0.0571321
"more than five years"	0.0570107
"two weeks ago"	0.0564205
"over @@ years"	0.0562805
"about six miles"	0.0557509
"another @@ days"	0.0557173
"about @ miles"	0.0554547
"a few weeks ago"	0.0552252
"about @@ kilometers"	0.0551224
"about @,@@@ kilometers"	0.0547672
"three to five years"	0.0545134
"five miles"	0.0544646
"seven years ago"	0.0526438
"about @@@ meters"	0.0520316
"two to three years"	0.0519625
"more than three decades"	0.0517729
"about @@@ kilometers"	0.0517638
"two to three weeks"	0.0515321
"more than @@ miles"	0.051423
"Five months ago"	0.0514081
"six years"	0.0513718
"next two days"	0.0511601
"over three years"	0.0509211
"nine weeks"	0.0504803
"four nights"	0.0499899
"eight weeks"	0.0499137
"nine minutes"	0.0498457
"about @@ years ago"	0.0493764
"about @ minutes"	0.0492855
"one weekend"	0.0489993
))
("about two miles" (desc 3318.03) (sims
"eight miles"	0.298221
"about @ miles"	0.29131
"four miles"	0.259942
"five kilometers"	0.257822
"three kilometers"	0.253577
"three miles"	0.2522
"about four miles"	0.247136
"two miles"	0.238328
"about five miles"	0.238043
"seven miles"	0.233713
"about @@@ km"	0.233204
"about @@ km"	0.229803
"about three miles"	0.227031
"nine miles"	0.225162
"about six miles"	0.222653
"less than @@ miles"	0.216316
"a few miles"	0.211616
"four kilometers"	0.207105
"eight kilometers"	0.206763
"six miles"	0.199416
"five miles"	0.198849
"about @@@ yards"	0.194953
"hundred miles"	0.188079
"about @@@ meters"	0.187885
"two kilometers"	0.185849
"a few kilometers"	0.18115
"more than @@ miles"	0.177312
"about @@ miles"	0.174824
"one mile"	0.166468
"Nearly @@@ miles"	0.165617
"six kilometers"	0.164951
"one kilometer"	0.162527
"about @@@ kilometers"	0.157679
"half mile"	0.156483
"about @@ kilometers"	0.154804
"about @@@ miles"	0.151665
"about @,@@@ miles"	0.151629
"a few yards"	0.149361
"more than @@@ kilometers"	0.148069
"more than @@@ miles"	0.14428
"about @,@@@ kilometers"	0.138653
"over @@@ kilometers"	0.134716
"a few meters"	0.134449
"quarter mile"	0.12511
"about one kilometer"	0.124281
"about @@ yards"	0.121511
"about @@ meters"	0.11762
"more than @,@@@ miles"	0.117499
"hundred yards"	0.116907
"a few hundred yards"	0.112644
"about two hours"	0.0736772
"two inches"	0.0682741
"about three hours"	0.0682422
"six inches"	0.0666987
kilometer	0.0646963
"about @@ minutes"	0.0636549
"about @@ inches"	0.0632724
"about @ inches"	0.0606342
"Appalachian Trail"	0.0589653
"a few inches"	0.0583615
downloading	0.0564807
Partway	0.0562672
"one meter"	0.0548946
"single file"	0.054869
longer	0.0547936
"five meters"	0.0546329
frontlines	0.0533006
"Highway @@@"	0.0529211
Drenica	0.0523061
uphill	0.0510925
"New Territories"	0.0503865
landfall	0.0483684
"three meters"	0.0479409
"Highway @@"	0.0464649
"four inches"	0.0462821
"two meters"	0.0462656
jut	0.0449004
"Route @"	0.0443434
parachuting	0.0433508
"main road"	0.0432077
"cabin cruiser"	0.0431865
sill	0.0429765
"state highway"	0.0425918
"three inches"	0.0425718
Midrand	0.0420227
foothill	0.0419326
"Mojave Desert"	0.0410457
cannonball	0.0405817
C-@@@	0.0400419
))
("About two million" (desc 1268.68) (sims
"Over two million"	0.361979
"More than two million"	0.360164
"About three million"	0.320159
"Over one million"	0.294828
"more than one million"	0.293911
"two million"	0.2926
"over @.@ million"	0.286639
"more than four million"	0.276896
"three million"	0.273589
"More than three million"	0.264179
"nearly one million"	0.260555
"nine million"	0.257797
"Four million"	0.254344
"About one million"	0.25363
"Seven million"	0.253602
"over @@ million"	0.253386
"Nearly @.@ million"	0.250186
"over @@@,@@@"	0.246734
"nearly @@@,@@@"	0.235278
"More than @.@ million"	0.229845
"up to @@@,@@@"	0.219087
"nearly @@ million"	0.218887
"more than @ million"	0.217436
"five million"	0.217129
"about @.@ million"	0.216894
"over @.@@ million"	0.213723
"more than @.@@ million"	0.213088
"over @ million"	0.212038
"nearly @ million"	0.206353
"more than @@ million"	0.206189
"up to @ million"	0.2059
"eight million"	0.204409
"about @ million"	0.202852
"up to @@ million"	0.198999
"About @.@@ million"	0.198178
"almost @@ million"	0.197574
"more than @@@ million"	0.195188
"about @@ million"	0.191889
"One Million"	0.191319
"more than @@@,@@@"	0.187576
"about @@.@ million"	0.18597
"up to @@,@@@"	0.184903
"almost @@@,@@@"	0.182669
"nearly @@@ million"	0.180113
"almost @ million"	0.177794
"six million"	0.174365
"over @@,@@@"	0.169548
"roughly @@@,@@@"	0.16709
"another @@,@@@"	0.166718
"another @@@,@@@"	0.162656
"over @@@ million"	0.162047
"about @@@,@@@"	0.158072
"nearly @@,@@@"	0.153875
"Another @@ million"	0.152971
"roughly @@,@@@"	0.14854
"roughly @,@@@"	0.144833
"up to @,@@@"	0.144726
"close to @@,@@@"	0.13971
"nearly @,@@@"	0.138918
"more than @@,@@@"	0.138401
"almost @@,@@@"	0.134304
"more than @.@ billion"	0.133644
"more than @ billion"	0.131819
"about @@,@@@"	0.128913
"about @@@ million"	0.128013
"over @,@@@"	0.125059
"another @ million"	0.121678
"About @,@@@"	0.120373
"Three hundred"	0.113311
"more than @,@@@"	0.112626
"Another @,@@@"	0.110735
"about @@@ to @@@"	0.109975
"almost @,@@@"	0.109053
"Around @@"	0.107381
Thirty-six	0.104401
"another @.@ million"	0.101242
"six to eight"	0.100698
"less than @@,@@@"	0.0973711
"nearly @@@"	0.096195
Eighteen	0.0961345
"About @ billion"	0.0955468
"another @@@ million"	0.0953062
lakh	0.0952976
Forty-four	0.0948584
"Around @@@"	0.0937312
"up to @@@"	0.0859878
non-Muslim	0.0857998
"ten thousand"	0.0855867
"Two hundred"	0.0855004
Thirty-five	0.0845793
"another five"	0.0830123
"six billion"	0.0827993
"more than six"	0.0825358
Thirty-two	0.0822998
"two billion"	0.082198
"Kosovar Albanian"	0.0818109
"about @.@"	0.0810604
"turning away"	0.08079
"Another @@@"	0.0807387
"close to @,@@@"	0.080162
"less than @,@@@"	0.0796055
Thirty-nine	0.0794809
"one billion"	0.0791093
"six to @@"	0.0766679
Fifteen	0.0761955
"Three billion"	0.0761009
Okinawan	0.0754801
"up to seven"	0.074886
"about @.@ billion"	0.0747614
"another three"	0.0747076
"More than two"	0.0721024
"roughly @@@"	0.0719628
Nineteen	0.0713337
"more than @@@@"	0.0708712
"up to six"	0.0693051
"more than seven"	0.0686476
"first @@@"	0.067873
"almost @@@"	0.0678672
Kosovar	0.0677964
Twelve	0.0658317
Thirty-one	0.065248
Thirteen	0.0650288
Thirty	0.0648683
Kazak	0.0641178
"about nine"	0.0632013
"other @@@"	0.0622222
Sixteen	0.0614125
forty	0.0613822
"more than five"	0.0611871
Forty-seven	0.0610138
non-Hispanic	0.0601461
health-conscious	0.0601387
"more than @@ billion"	0.0600873
"another @@"	0.0596938
"Other @@"	0.0593549
Ingush	0.058916
"two to four"	0.0581614
"picture show"	0.0573299
"another nine"	0.0571021
"about @.@@"	0.0566473
sixty	0.0564965
"about @@ to @@"	0.0560741
"up to two"	0.0553006
Thirty-three	0.0552325
Hmong	0.0552
"five to @@"	0.0551813
"fourth generation"	0.055004
"three to five"	0.0545755
"more than eight"	0.0543438
non-Jewish	0.0543079
southland	0.0540044
"about @@ billion"	0.0537805
"another seven"	0.0533272
twenty	0.0532328
"less than @@@"	0.0529412
"Ethnic Albanian"	0.0528109
Forty-two	0.0522154
"up to three"	0.0518323
"four to six"	0.0517099
Younger	0.0515962
"more than three"	0.0513351
"more than ten"	0.0513084
"roughly @@"	0.0512578
Forty-five	0.0511288
"two to three"	0.0510969
"more than four"	0.0500928
"another six"	0.0500587
Tajik	0.0499958
hemophiliac	0.0498185
"less than two"	0.0497237
Druse	0.0494749
Amish	0.0489
Maasai	0.0488642
"two dozen"	0.0488154
eighty	0.0478813
Thirty-eight	0.047838
"up to four"	0.0473588
"Sri Lankan"	0.0473422
seventeen	0.0472824
Fifty	0.0472653
Thirty-four	0.0470997
seventy	0.0467677
Haj	0.0466059
Rwandese	0.0465683
"close to @@@"	0.0462628
Mexican-American	0.0461567
"Another eight"	0.046055
nonwhite	0.0458227
"about seven"	0.045464
"Two and three"	0.0454349
"dust bowl"	0.0450158
"about five"	0.044977
Caesarean	0.0449493
fulltime	0.0446868
"mentally retarded"	0.0443766
Chukwu	0.0440801
Fifty-five	0.0438067
"other four"	0.043479
over-@@	0.043212
"Nearly two"	0.0430789
))
("about two minutes" (desc 1334.83) (sims
"about five minutes"	0.220024
"over @@ hours"	0.18269
"about three hours"	0.164444
"about four hours"	0.162234
"less than five minutes"	0.159729
"about four years"	0.157755
"more than two hours"	0.156016
"more than five minutes"	0.148679
"nearly @@ minutes"	0.148617
"about one hour"	0.143966
"about two hours"	0.142532
"about @@ minutes"	0.141193
"another @@ minutes"	0.136484
"six to eight weeks"	0.136472
"about six weeks"	0.134254
"more than six months"	0.133402
"nearly two hours"	0.13271
"about six hours"	0.132179
"more than three hours"	0.131344
"about three months"	0.131063
"over two hours"	0.129246
"six minutes"	0.128261
"about two months"	0.125942
"less than three minutes"	0.125838
"up to three months"	0.124842
"another @@ years"	0.124302
"more than five hours"	0.123694
"another four years"	0.122844
"up to @@ minutes"	0.122575
"three minutes"	0.121663
"seven minutes"	0.120666
"a few minutes"	0.119273
"another two weeks"	0.119059
"eight minutes"	0.118734
"two to three weeks"	0.117323
"a few hours"	0.115179
"more than @@ days"	0.115113
"about @@ to @@ minutes"	0.113639
"more than @@ minutes"	0.113561
"two minutes"	0.113486
"less than four minutes"	0.113273
"about @@ hours"	0.1131
"less than @@ minutes"	0.112995
"nearly two months"	0.11293
"about two weeks"	0.11222
"more than three months"	0.111308
"about three weeks"	0.11028
"five minutes"	0.109739
"five weeks"	0.106609
"seven hours"	0.1062
"nearly @@ hours"	0.105773
"less than two minutes"	0.105704
"Four minutes"	0.105529
"nine hours"	0.105096
"seven weeks"	0.104706
"about three years"	0.104536
"about six months"	0.103199
"another six months"	0.102379
"up to six months"	0.101088
"nine minutes"	0.098721
"six hours"	0.0975387
"four to six weeks"	0.0973561
"two hours"	0.0953438
"more than @@ hours"	0.0945371
"up to three years"	0.0937774
"more than six years"	0.092673
"up to two years"	0.0919925
"eight months ago"	0.0919688
"nine weeks"	0.0914167
"almost two hours"	0.0906539
"more than four hours"	0.0900954
"more than one year"	0.0900099
"four weeks"	0.0884484
"three to six months"	0.0881257
"three to five years"	0.0875065
"more than five years"	0.0874956
"five hours"	0.0872585
"nearly three hours"	0.0872084
"about @@ months"	0.0870037
"one hour"	0.0861015
"more than two weeks"	0.0860369
"ten days"	0.0855538
"more than @,@@@ years"	0.0852605
"another two years"	0.0845744
"more than two months"	0.084574
"up to @@ months"	0.0843356
"about @ @/@ hours"	0.0833774
"eight weeks"	0.0833451
"six days"	0.0832231
"five months"	0.0829546
"about @@ days"	0.0823098
"eight days"	0.0814561
"Ten minutes"	0.0805176
"two to three years"	0.0801229
"nearly five years"	0.0799833
"over six months"	0.077887
"eight months"	0.0773526
"seven days"	0.0766749
"another @@ days"	0.0756967
"about two years"	0.0756787
"four hours"	0.0748429
"one month"	0.0747239
"a few weeks"	0.074554
"six weeks"	0.0743845
"more than three weeks"	0.0735628
"more than two years"	0.0732954
"another five years"	0.0732919
"another @@ months"	0.071572
"nine years"	0.0708265
"over two years"	0.0708258
"eight hours"	0.0708013
"nearly four hours"	0.0705288
"more than four years"	0.0701765
"From January to March"	0.07008
"more than three years"	0.0699145
"one week"	0.0697771
"nine months"	0.0692343
"almost two months"	0.069191
"one minute"	0.068954
"ten years"	0.068485
"over @@ minutes"	0.0683069
"over three years"	0.06826
"up to @@ hours"	0.0678491
"less than two hours"	0.0676017
"up to @@ days"	0.0672233
"nearly three years"	0.0658162
"about @@ years"	0.065043
"about @ minutes"	0.0646191
"nearly three months"	0.064612
"one weekend"	0.0643181
"three nights"	0.0628506
"nearly six years"	0.0628324
"Less than two weeks"	0.0620623
"two pitchers"	0.0614035
"more than eight years"	0.0608635
"almost three years"	0.0597447
"nine days"	0.0586682
"hundred years"	0.0583523
"almost two decades"	0.0581071
"almost two weeks"	0.0579795
"up to two weeks"	0.0577511
"another three years"	0.0575941
"major-league team"	0.0574932
"over two months"	0.0572973
"over @@ months"	0.0572697
"about @ hours"	0.0568298
"about @ hour"	0.0567547
"almost @@ years"	0.0557724
"about five years"	0.0553659
"nearly four years"	0.054146
"a few decades"	0.0523687
"two nights"	0.0521819
"seven months ago"	0.0512067
"two days ago"	0.0505257
"more than seven years"	0.0501714
"about five hours"	0.049426
"over two days"	0.0494186
"less than @@ hours"	0.049037
"up to @@ years"	0.0488157
"next @@ minutes"	0.0484682
"almost two years"	0.0483963
"from January to September"	0.0482816
"two hands"	0.0478375
"about @ minute"	0.0478041
"three pitchers"	0.0477013
"over @@ years ago"	0.0474395
"three days ago"	0.0467124
"a few days ago"	0.045127
"up to five years"	0.0449273
"nine months ago"	0.0444412
"more than @@ months"	0.0444047
"Five days ago"	0.0427148
"a few thousand dollars"	0.0423978
"over five years"	0.0422345
"Ten years ago"	0.0412451
"four months ago"	0.0409223
"last seven years"	0.0408478
"first five days"	0.0405566
"next three weeks"	0.0403869
))
("about two months" (desc 3105.5) (sims
"seven weeks"	0.153166
"about two weeks"	0.149582
"about two years"	0.148097
"four to six weeks"	0.131329
"about four years"	0.130436
"three weeks"	0.128388
"eight days"	0.128135
"more than six months"	0.127935
"five weeks"	0.127555
"more than @@ days"	0.12667
"about two minutes"	0.125942
"less than @@ hours"	0.125077
"nearly two months"	0.123572
"more than two years"	0.123393
"one month"	0.122624
"eight weeks"	0.122513
"more than two months"	0.121874
"more than three months"	0.120909
"over two hours"	0.119653
"about three weeks"	0.119423
"another two years"	0.119102
"about @@ hours"	0.118351
"five hours"	0.117462
"about six hours"	0.115758
"nine months"	0.115758
"nine hours"	0.114551
"about six months"	0.114179
"about three months"	0.11393
"six days"	0.110117
"ten days"	0.109982
"six hours"	0.109919
"six to eight weeks"	0.109638
"five months"	0.108173
"four weeks"	0.108159
"about @@ months"	0.107701
"a few hours"	0.107511
"two to three weeks"	0.105781
"about three hours"	0.104429
"two hours"	0.104396
"more than @@ hours"	0.104087
"another two weeks"	0.103812
"more than three years"	0.103707
"one week"	0.103424
"four days"	0.101941
"two to three years"	0.101045
"a few days"	0.101027
"eight months"	0.100373
"more than five years"	0.100118
"about four hours"	0.0997316
"two months"	0.0987302
"about five minutes"	0.0986919
"less than three weeks"	0.0984268
"four months"	0.0983662
"five days"	0.0981704
"more than six years"	0.0979262
"six weeks"	0.0974034
"nearly three weeks"	0.0973527
"three months"	0.0972298
"four hours"	0.0964806
"a few months"	0.0963257
"seven months"	0.0948419
"three hours"	0.0935362
"a few weeks"	0.0935115
"more than four years"	0.093438
"about six weeks"	0.0933851
"less than three months"	0.093291
"three days"	0.0929225
"more than one year"	0.0928002
"a few minutes"	0.0916183
"almost three years"	0.0911778
"almost two years"	0.0909084
"seven hours"	0.0904008
"about @@ days"	0.0901078
"Less than two weeks"	0.0899667
"about three years"	0.0891068
"more than two hours"	0.0890376
"nearly @@ hours"	0.088067
"about @@ minutes"	0.0880396
"more than @@ minutes"	0.0878097
"one hour"	0.0866716
"nearly two weeks"	0.0865157
"seven days"	0.0863633
"four years"	0.0863513
"over two years"	0.0860297
"nine days"	0.0858061
"almost two hours"	0.0856894
"more than eight years"	0.0855662
"two days"	0.0848584
"more than four hours"	0.0848175
"another @@ years"	0.0844781
"six months"	0.0843344
"about two hours"	0.0841123
"nearly five years"	0.0837381
"nearly two hours"	0.08352
"nine years"	0.0816921
"about @@ years"	0.0813448
"more than @@ months"	0.0810293
"three to five years"	0.0807794
"ten years"	0.0805757
"up to @@ days"	0.0796584
"two nights"	0.0783863
"eight hours"	0.0775325
"another six months"	0.0766098
"nearly two years"	0.0765694
"more than three hours"	0.0764168
"nearly @@ minutes"	0.0761634
"up to six months"	0.0761079
"eight years"	0.0761069
"one year"	0.074821
"nearly three years"	0.0747147
"a few years"	0.0739493
"about five years"	0.0737315
"almost two decades"	0.0725302
"eight minutes"	0.0724283
"one weekend"	0.0717504
"three to six months"	0.071488
"five minutes"	0.0711538
"more than seven years"	0.0710781
"almost @@ years"	0.0710385
"more than two weeks"	0.0702768
"seven years"	0.068994
"almost two weeks"	0.0689033
"less than two months"	0.068718
"over two months"	0.0686985
"less than three years"	0.0680411
"up to @@ minutes"	0.06799
"more than four months"	0.0677249
"three decades"	0.0676186
"six years"	0.0669495
"up to two years"	0.0664774
"nearly three hours"	0.0662671
"almost three decades"	0.0661725
"more than @,@@@ years"	0.0651595
"more than three weeks"	0.0646502
"nearly six years"	0.0643727
"two decades"	0.0639187
"almost two months"	0.0636456
"two minutes"	0.0630554
"nearly @@ months"	0.0630439
"less than two years"	0.0625655
"one minute"	0.0625352
"more than @@ years"	0.0614968
"three days ago"	0.060327
"one night"	0.0602951
"another @@ months"	0.0597924
"another @@ minutes"	0.0597845
"eight months ago"	0.0597026
"nine years ago"	0.0592363
"another four years"	0.0591759
"up to three months"	0.0591289
"less than two hours"	0.0588376
"nearly three months"	0.058824
"three minutes"	0.0586469
"over @@ hours"	0.0586417
"over @@ years"	0.058204
"less than two weeks ago"	0.0581428
"another @@ days"	0.0579149
"one year ago"	0.0578897
"up to three years"	0.0575015
"up to @@ hours"	0.0570447
"three nights"	0.0570353
"more than five hours"	0.0567824
"seven minutes"	0.0562589
"Five months ago"	0.0559543
"about one hour"	0.0557777
"another five years"	0.0552451
"nearly four years"	0.0550153
"over @@ minutes"	0.0548927
"less than four months"	0.0547991
"almost four years"	0.0545295
"more than two decades"	0.0540395
"about four years ago"	0.0536437
"a few decades"	0.0529868
"nearly @@ years"	0.0526614
"nearly three decades"	0.0524283
"two days ago"	0.052298
"nine weeks"	0.0522812
"over @@ months"	0.0515007
"over @@@ years"	0.05117
"more than @@@ years"	0.0508283
"Ten minutes"	0.0501979
"nearly four decades"	0.0496053
"six minutes"	0.0489341
"about three weeks ago"	0.0482396
"less than two minutes"	0.0481505
"four decades"	0.0481469
"seven years ago"	0.0478079
"more than five minutes"	0.0475037
"up to @@ months"	0.0473417
"one month ago"	0.0465714
mid-April	0.0463642
"less than five minutes"	0.0460489
"last nine years"	0.0460083
"four days ago"	0.0454888
"three months ago"	0.045336
"two months ago"	0.0451767
"about @ @/@ hours"	0.0449864
"last six years"	0.0446254
"nearly two decades"	0.0446128
"seven months ago"	0.0445989
))
("about two months ago" (desc 820.801) (sims
"four weeks ago"	0.161055
"about three weeks ago"	0.159383
"more than three years ago"	0.130756
"more than two years ago"	0.128459
"about @@ months ago"	0.126496
"one year ago"	0.12122
"about two weeks ago"	0.120818
"nine months ago"	0.116155
"about four years ago"	0.112879
"almost @@ years ago"	0.11243
"four days ago"	0.112294
"nearly @@ years ago"	0.112128
"three months ago"	0.11117
"about @,@@@ years ago"	0.110913
"six years ago"	0.108933
"less than two years ago"	0.107973
"about three years ago"	0.106073
"four months ago"	0.104907
"about two years ago"	0.103106
"six months ago"	0.102362
"Ten years ago"	0.102179
"Five days ago"	0.102126
"a few months ago"	0.0990163
"seven years ago"	0.0986509
"Five months ago"	0.0984821
"nearly two years ago"	0.0964904
"less than two weeks ago"	0.0964798
"about @@ years ago"	0.0948223
"nine years ago"	0.0924842
"more than @@ years ago"	0.0921181
"three years ago"	0.0920149
"three days ago"	0.0888114
"five weeks ago"	0.0881357
"six weeks ago"	0.0858312
"about five years ago"	0.085632
"nearly two weeks ago"	0.0850683
"six days ago"	0.0843827
"time ago"	0.0839339
"months ago"	0.0838937
"three weeks ago"	0.0836346
"eight months ago"	0.0819777
"nearly two decades ago"	0.0791091
"more than @@@ years ago"	0.077734
"eight years ago"	0.0774546
"four decades ago"	0.0761363
"more than two decades ago"	0.0756666
"less than @@ hours"	0.0744602
"two months ago"	0.0734965
"two days ago"	0.0719557
"seasons ago"	0.0697164
"nine days ago"	0.0692035
"over six months"	0.0689297
"one week ago"	0.0661645
"over @@ years ago"	0.0657946
"seven months ago"	0.0649528
"two decades ago"	0.06328
"days ago"	0.0630837
"Feb. @."	0.0577339
"about three hours"	0.0572884
"January @."	0.0565598
"a few days ago"	0.0548732
"one month ago"	0.0545512
"three decades ago"	0.0540782
"more than @,@@@ years ago"	0.0530455
"over two years"	0.0498033
"over three days"	0.0480513
"nearly three years ago"	0.0476156
"Less than two weeks"	0.0475792
"about five hours"	0.0456034
DEC	0.0454666
"summers ago"	0.0452686
"over four years"	0.0451798
"over @@ days"	0.0440694
"over two decades"	0.0439483
"sixth year"	0.0439289
"about two months"	0.0433044
"eighth year"	0.0425188
"about six months"	0.0420937
"two year"	0.0410679
))
("about two percent" (desc 876.367) (sims
"about five percent"	0.276766
"about four percent"	0.254775
"more than @.@ percent"	0.237614
"about three percent"	0.217067
"ten percent"	0.210177
"about one percent"	0.207562
"about @.@ percent"	0.196054
"four percent"	0.193991
"about @.@@ percent"	0.19298
"six percent"	0.185733
"nine percent"	0.185079
"eight percent"	0.177516
"two percent"	0.174582
"three percent"	0.167837
"almost @"	0.167413
"More than one third"	0.166214
"less than @.@ percent"	0.165861
"About @@ per cent"	0.161488
"seven percent"	0.159813
"About @@.@ percent"	0.157011
"less than one percent"	0.156731
"five percent"	0.151471
"about @ percent"	0.147408
"less than five percent"	0.144582
"nearly one-third"	0.144316
"one percent"	0.141756
one-fifth	0.141481
"one sixth"	0.138627
"nearly @"	0.137582
"nearly one-fifth"	0.129573
one-seventh	0.127001
"more than one-fourth"	0.125353
"about one-fifth"	0.123833
"over one-third"	0.12286
"about one quarter"	0.121249
"roughly one-third"	0.121108
"one third"	0.120378
"roughly @@"	0.117928
"over @"	0.117919
"more than @"	0.11777
"about one-fourth"	0.114537
one-fourth	0.113404
"over two-thirds"	0.113376
"nearly one-fourth"	0.112257
"one tenth"	0.11133
"about one-third"	0.108649
"more than one-fifth"	0.10826
"almost @@"	0.107748
one-tenth	0.105427
percent	0.104331
"up to @.@ percent"	0.103779
"About three quarters"	0.101718
"More than one-third"	0.101415
"up to @"	0.101248
"almost one-third"	0.100399
pfennig	0.0982288
"one quarter"	0.0959696
"one cent"	0.0955968
"about one-tenth"	0.0953234
"nearly two-thirds"	0.0952787
"More than two-thirds"	0.0929118
"one fifth"	0.0925255
year-on-year	0.0920374
thirds	0.0903782
"about three-fourths"	0.087275
"about two-thirds"	0.0866036
"Twenty-five percent"	0.0865821
"More than three quarters"	0.0860671
"Twenty percent"	0.0851776
"about one third"	0.0844635
"up to @@.@ percent"	0.0844195
"Thirty percent"	0.0841901
"nearly @@ points"	0.0834475
"a few pounds"	0.0827239
two-fifths	0.0818029
one-half	0.0813001
"Seventy-five percent"	0.0793397
"nearly @@ billion yuan"	0.0786558
"less than @"	0.0782794
"nearly one third"	0.0781565
"Forty percent"	0.0778491
"two cents"	0.0778314
centavo	0.0777862
"Over @@@ Million Dollars"	0.076134
"basis point"	0.0759014
"nearly $@@"	0.0753918
"one dollar"	0.0737352
"roughly two-thirds"	0.0732617
"more than @@ billion yuan"	0.0721218
"more than @@@ billion yuan"	0.0716594
"Eighty percent"	0.0712036
"three billion yuan"	0.0708228
"over @@@@"	0.0700051
one-sixth	0.0700006
VND	0.0698682
"one million dollars"	0.069602
"representative sample"	0.0691898
"less than one-third"	0.0691232
"almost two-thirds"	0.0690885
"more than @@,@@@ yuan"	0.0685026
nine-tenths	0.0678356
"nearly $@"	0.0675148
"more than @@ billion dollars"	0.0668086
"Ninety-five percent"	0.0667255
"Ninety percent"	0.0657959
"Forty-five percent"	0.0657193
three-fourths	0.0656541
"more than three-fourths"	0.0656005
"five billion yuan"	0.065552
"about one-quarter"	0.0654892
three-fifths	0.0652715
"More than three-quarters"	0.0650148
"Seventy percent"	0.0650022
"about @ billion dollars"	0.0648686
bpd	0.064817
tenth	0.0648134
"previous five years"	0.064138
"retail price index"	0.0634101
one-quarter	0.0630148
eight-tenths	0.0627698
two-third	0.0625857
"about @@@ points"	0.0624302
"about @@ billion yuan"	0.0621826
"more than @.@ billion US dollars"	0.0619772
Pct	0.0614742
"over @@@,@@@ tons"	0.061172
"about @@@ percent"	0.0610859
"hair follicle"	0.0600351
"Sixty percent"	0.0600334
"more than @@ million US dollars"	0.0598375
"one million US dollars"	0.05969
fifths	0.0594598
"more than @ billion yuan"	0.0594436
"one billion US dollars"	0.0590875
Four-fifths	0.0590714
"about @@ million tons"	0.0589632
"about three-quarters"	0.0588326
"a few million dollars"	0.0585546
one-eighth	0.0584978
octave	0.0581045
"about @@@,@@@ tons"	0.0575852
"more than @.@ billion dollars"	0.0570274
"a few hundred dollars"	0.057006
dollars-worth	0.0563886
"over one third"	0.0563035
"about @@ pounds"	0.0561304
"four inches"	0.0556091
"about @@@ million yuan"	0.0548789
"about @@.@ million dollars"	0.0547061
"three million yuan"	0.0546059
non-oil	0.054559
three-tenths	0.0544989
"thousand dollars"	0.054326
"about $@"	0.0543004
"more than @@ million tons"	0.0541729
"consumer durables"	0.0540462
"five million tons"	0.0538026
"almost $@@ million"	0.0534478
"more than @@ billion US dollars"	0.0532581
"another @@ million dollars"	0.0530733
"about @@ points"	0.0530444
"about @.@ million tons"	0.0526292
"three cents"	0.0521402
"Sixty-five percent"	0.051767
"three quarters"	0.0516158
"about $@.@ trillion"	0.050486
"over @@ million tons"	0.0501948
thousandth	0.0500812
"six billion yuan"	0.0497433
"more than @@@,@@@ tons"	0.0497395
"about @@-@@"	0.0494807
"nearly @@@ million yuan"	0.0494716
"more than @@@ million dollars"	0.0492597
"Almost three-quarters"	0.0487899
"billion yuan"	0.0483341
half-inch	0.0480413
"five meters"	0.0479806
"about @@@ million dollars"	0.0479757
"more than @@ points"	0.047834
"Nearly three-quarters"	0.0477189
"about @@,@@@ tons"	0.0475506
"cubic meter"	0.0475413
"three million tons"	0.0471974
"two million yuan"	0.047181
"over @@ million yuan"	0.047025
"over @@.@ percent"	0.0468662
"close to @@"	0.0467273
"about @.@ billion dollars"	0.0466404
victimization	0.0465647
"one billion yuan"	0.046549
"hundred million dollars"	0.0465098
birr	0.0464444
"almost $@@ billion"	0.0462426
"a few dollars"	0.0460275
"more than @@@ million tons"	0.0459824
"one million yuan"	0.0457787
paintbrush	0.0457181
"more than @@,@@@ tons"	0.045637
"more than @,@@@ kilometers"	0.0455018
"two units"	0.0451517
))
("about two weeks" (desc 5467.93) (sims
"three weeks"	0.159532
"about two months"	0.149582
"five weeks"	0.145842
"about three weeks"	0.143475
"a few weeks"	0.142247
"about two years"	0.141812
"two to three weeks"	0.13862
"about six months"	0.134026
"about three months"	0.133144
"about @@ months"	0.128589
"six weeks"	0.127601
"a few days"	0.127518
"more than one year"	0.124862
"four weeks"	0.124798
"more than three weeks"	0.123271
"two months"	0.120667
"one month"	0.119611
"four to six weeks"	0.119536
"two weeks"	0.119393
"a few months"	0.11541
"seven weeks"	0.114748
"about two hours"	0.11451
"more than two weeks"	0.113384
"three months"	0.112914
"more than three months"	0.112514
"more than two months"	0.112229
"about two minutes"	0.11222
"about six weeks"	0.111485
"eight days"	0.110019
"Less than two weeks"	0.10992
"five months"	0.109412
"five days"	0.109149
"about @@ days"	0.108226
"almost two months"	0.108192
"eight months"	0.107496
"more than two hours"	0.107402
"eight weeks"	0.106745
"four months"	0.105938
"another @@ years"	0.105042
"a few hours"	0.104905
"about three hours"	0.104501
"six to eight weeks"	0.104036
"seven months"	0.103938
"two to three years"	0.103669
"more than two years"	0.103432
"less than three weeks"	0.100368
"about four years"	0.100089
"six months"	0.0990438
"about @@ hours"	0.098545
"nearly two months"	0.098007
"six days"	0.0977585
"about four hours"	0.0970755
"four days"	0.0970074
"seven days"	0.0952775
"three days"	0.0949606
"about three years"	0.0947664
"one week"	0.0946902
"nine months"	0.0944971
"a few years"	0.0929261
"two days"	0.0928416
"more than @@ days"	0.0928163
"more than six months"	0.0915468
"two years"	0.0907593
"two hours"	0.0903599
"three years"	0.0894701
"three nights"	0.0891355
"up to six months"	0.0891035
"nine days"	0.0889608
"more than three years"	0.0882868
"less than three months"	0.0879207
"three to six months"	0.0878435
"seven hours"	0.0875754
"about @@ years"	0.0870927
"almost two weeks"	0.0856004
"another two weeks"	0.0855471
"ten years"	0.0853672
"up to three months"	0.0847808
"up to three years"	0.0835593
"nearly @@ hours"	0.0834922
"nearly two hours"	0.0832399
"over two hours"	0.0831135
"another two years"	0.0824312
"three to five years"	0.0816141
"more than three hours"	0.0815954
"six hours"	0.0814112
"nearly three weeks"	0.0806486
"about five minutes"	0.0801065
"a few minutes"	0.0799264
"more than four years"	0.0795455
"four hours"	0.0793183
"eight hours"	0.0791849
"over @@ hours"	0.0789967
"nearly five years"	0.0789926
"next two months"	0.0788069
"nine years"	0.0787866
"nearly three years"	0.0784553
"more than four hours"	0.0784471
"less than two months"	0.078392
"eight years"	0.0778082
"one hour"	0.0776522
"more than @@ years"	0.0776078
"more than eight years"	0.0776006
"four years"	0.0768927
"about @@ minutes"	0.0764253
"about one hour"	0.0764092
"another four years"	0.0763105
"two nights"	0.0762452
"about six hours"	0.0756867
"up to @@ months"	0.0754917
"one year"	0.0749011
"up to @@ hours"	0.074796
"five hours"	0.0746926
"more than five minutes"	0.07449
"more than five years"	0.074162
"ten days"	0.0737996
"up to @@ days"	0.073651
"five years"	0.0736354
"nearly two decades"	0.0729538
"less than three years"	0.0728711
"more than @@ hours"	0.072854
"next @@ minutes"	0.0727615
"nearly @@ years"	0.0726949
"more than two decades"	0.0720572
"nearly @@ minutes"	0.0719994
"less than @@ hours"	0.071449
"over two years"	0.0709606
"nearly two years"	0.0705925
"three hours"	0.0705222
"up to @@ minutes"	0.0704593
"nine hours"	0.0704426
"more than @@ months"	0.0701258
"one weekend"	0.0699651
"seven years"	0.0699065
"almost three years"	0.0698064
"more than @@@ years"	0.0693845
"nearly @@ months"	0.0693367
"six years"	0.0682461
"almost two years"	0.0680623
"more than @@ minutes"	0.0675425
"over two months"	0.0673312
"almost @@ years"	0.0670962
mid-January	0.0669407
"two decades"	0.0660914
"three decades"	0.0660808
"over @@ years"	0.0659228
"five minutes"	0.0659094
"almost two decades"	0.0657554
"less than two hours"	0.0657405
"more than six years"	0.065536
"less than two years"	0.0654839
"nearly three months"	0.0654508
"more than three decades"	0.0652329
"up to two weeks"	0.0645159
"another three years"	0.0642869
"next two weeks"	0.0641645
"more than five hours"	0.0640114
"nine weeks"	0.0636667
mid-July	0.0634199
mid-August	0.0629841
"nearly four years"	0.062754
Mid-February	0.0621438
"next three weeks"	0.0617671
"hundred years"	0.0614702
"another six months"	0.0605568
"over three years"	0.0593332
"almost three decades"	0.0590857
"next two years"	0.0590712
"almost four years"	0.0586561
"May, @@@@"	0.058585
"more than seven years"	0.0584832
mid-June	0.0583437
"another @@ days"	0.0582681
"Five days ago"	0.0582162
"less than @@ minutes"	0.0573973
"nearly four hours"	0.0572878
"more than @,@@@ years"	0.0571088
"six minutes"	0.057077
"nearly three decades"	0.0570569
"next two days"	0.0570133
"nearly six years"	0.055958
"one night"	0.0557569
"eight minutes"	0.0556125
"two minutes"	0.0553796
"over @@ minutes"	0.0551874
"last three weeks"	0.0547222
"about five years"	0.054716
"over five years"	0.0545934
"another @@ months"	0.0543513
"period of time"	0.0542362
mid-November	0.0534307
"more than four months"	0.0531921
"nearly two weeks"	0.0529303
"nearly @@@ years"	0.0525918
"up to two years"	0.0520584
"three minutes"	0.0517443
"one year ago"	0.051306
"medical checkup"	0.0509125
"late @@@@"	0.0508485
"first two weeks"	0.0506184
"another @@ minutes"	0.0502037
))
("about two weeks ago" (desc 1262.62) (sims
"about three years ago"	0.180712
"more than two years ago"	0.17357
"five weeks ago"	0.161135
"nine months ago"	0.158591
"six weeks ago"	0.152516
"about four years ago"	0.149447
"six months ago"	0.143488
"about five years ago"	0.143149
"nearly two years ago"	0.140973
"about @,@@@ years ago"	0.140466
"three weeks ago"	0.139814
"eight months ago"	0.138929
"six years ago"	0.138109
"a few days ago"	0.136708
"seven years ago"	0.134693
"eight years ago"	0.133996
"two weeks ago"	0.132053
"four days ago"	0.131934
"nine years ago"	0.12883
"more than three years ago"	0.12822
"one year ago"	0.128073
"about @@ years ago"	0.125325
"three days ago"	0.124638
"about three weeks ago"	0.122869
"three months ago"	0.122772
"three years ago"	0.122656
"two months ago"	0.12226
"about @@ months ago"	0.121288
"about two months ago"	0.120818
"more than @@@ years ago"	0.119106
"Five days ago"	0.118261
"four months ago"	0.117249
"more than @@ years ago"	0.115768
"nearly @@ years ago"	0.115246
"about two years ago"	0.113997
"months ago"	0.110595
"four weeks ago"	0.107795
"almost @@ years ago"	0.107371
"nine days ago"	0.107129
"one month ago"	0.107124
"a few months ago"	0.105527
"two years ago"	0.104474
"seven months ago"	0.100382
"four decades ago"	0.0996056
"six days ago"	0.0992769
"more than two decades ago"	0.0980086
"a few weeks ago"	0.0975517
"years ago"	0.0974318
"nearly two decades ago"	0.0972503
"three decades ago"	0.0962002
"weeks ago"	0.0943519
"five years ago"	0.0931141
"four years ago"	0.0928351
"over @@ years ago"	0.0922856
"seasons ago"	0.0919692
"time ago"	0.0880343
"days ago"	0.0838476
"decades ago"	0.0828615
"Ten years ago"	0.0817215
"two days ago"	0.080051
"from @@@@ to @@@@"	0.0794356
"a few years ago"	0.078108
"more than @@ times"	0.0779738
"Five months ago"	0.0766118
"decade ago"	0.0750336
"nearly two weeks ago"	0.0734036
"nearly three years ago"	0.0718698
"more than @,@@@ years ago"	0.0707898
"week ago"	0.0705183
"from @@@@-@@@@"	0.0690116
"about three hours"	0.0675825
"less than @@ hours"	0.0674138
"summers ago"	0.0623196
"eight days ago"	0.0587684
"two decades ago"	0.058709
"from January to September"	0.0585529
"less than two weeks ago"	0.0579358
"over @@ days"	0.0564093
"Less than two weeks"	0.0549793
"nearly three weeks"	0.0523815
"third year"	0.0498478
eight-day	0.0498173
"less than two years ago"	0.0489035
nine-day	0.0480544
"about five hours"	0.047739
"over two days"	0.0472318
"Sept @, @@@@"	0.0470967
"less than four months"	0.0467947
"over six months"	0.0451588
"Sunday, May @@"	0.0426177
"less than three weeks"	0.0420034
"more than @@@ times"	0.0416587
"thousand years"	0.0416364
"Jan @@-@@"	0.041619
"seventh year"	0.0403763
))
("about two years" (desc 4444.97) (sims
"about @@ months"	0.211099
"about @@ years"	0.197257
"about four years"	0.180441
"about six months"	0.169673
"more than five years"	0.155088
"almost @@ years"	0.152278
"about three years"	0.149758
"another @@ years"	0.148584
"about two months"	0.148097
"about three months"	0.143815
"more than three years"	0.141825
"about two weeks"	0.141812
"nearly @@ years"	0.13699
"about @@ days"	0.133158
"about five years"	0.132606
"more than six months"	0.129833
"more than @@ years"	0.12805
"a few months"	0.124365
"nearly two years"	0.123634
"seven years"	0.119991
"nine years"	0.11954
"more than two years"	0.119042
"about three weeks"	0.118954
"three to six months"	0.11826
"eight years"	0.117757
"five years"	0.113578
"ten years"	0.113196
"nearly three years"	0.11201
"nearly two months"	0.111795
"four months"	0.111773
"more than @@@ years"	0.11098
"three years"	0.108352
"more than four years"	0.107213
"nearly five years"	0.106621
"more than @,@@@ years"	0.10572
"four years"	0.105176
"a few years"	0.104416
"more than six years"	0.103822
"two years"	0.103716
"five months"	0.103534
"two to three years"	0.102875
"more than two months"	0.102845
"a few weeks"	0.101788
"less than three years"	0.10051
"eight months"	0.100134
"six months"	0.0999769
"more than three months"	0.099518
"six years"	0.0993812
"three months"	0.0993767
"two decades"	0.0993106
"seven weeks"	0.0989533
"eight weeks"	0.0984657
"nearly @@ minutes"	0.0983128
"more than @@ months"	0.0981436
"three decades"	0.0975415
"over two years"	0.0973084
"five weeks"	0.0953452
"nearly @@ hours"	0.0953406
"nine months"	0.0953084
"six weeks"	0.0949197
"four decades"	0.0946717
"three weeks"	0.0937216
"almost three decades"	0.0929533
"six to eight weeks"	0.0923615
"four weeks"	0.0923429
"almost two years"	0.0922085
"about @@ hours"	0.0921701
"more than @@ hours"	0.0916706
"about three hours"	0.0911657
"less than two years"	0.0904514
"about @ @/@ hours"	0.0896001
"more than one year"	0.0895075
"another five years"	0.089459
"two months"	0.0890797
"nearly two decades"	0.0881702
"four to six weeks"	0.0875545
"more than two decades"	0.0871513
"almost two hours"	0.0858821
"two to three weeks"	0.085389
"nine weeks"	0.0846068
"more than three decades"	0.084507
"three to five years"	0.0843377
"less than @@ years"	0.08432
"about @@ minutes"	0.0838142
"nearly three decades"	0.0836082
"more than seven years"	0.0829704
"eight hours"	0.0824189
"six days"	0.0817028
"about two hours"	0.0811038
"nearly six years"	0.0810388
"six decades"	0.0805156
"over @@ years"	0.0804592
"seven months"	0.0799871
"more than two hours"	0.0795513
"Less than two weeks"	0.0795498
"more than three hours"	0.0788594
"about six weeks"	0.0786894
"about five minutes"	0.0782788
"six hours"	0.0782223
"a few days"	0.0778702
"one month"	0.0762093
"about two minutes"	0.0756787
"less than two hours"	0.0755291
"one year"	0.075528
"seven days"	0.075423
"nearly two hours"	0.0752551
"eight days"	0.0749197
"up to two years"	0.0748557
"three hours"	0.073922
"five hours"	0.0737431
"up to @@ years"	0.0734988
"seven hours"	0.0732467
"almost four years"	0.073073
"about four hours"	0.0729615
"one week"	0.0727256
"three days"	0.0714165
"hundred years"	0.0711291
"a few hours"	0.0706532
"long time"	0.0699105
"almost three years"	0.0683245
"nearly four years"	0.0681545
"up to six months"	0.0681468
"more than eight years"	0.0677215
"nearly three months"	0.0676746
"another six months"	0.0672207
"a few minutes"	0.0668055
"nearly @@@ years"	0.066731
"two hours"	0.066598
"five days"	0.0653716
"more than five hours"	0.0634922
"a few decades"	0.0630893
"over @@ hours"	0.06167
"almost two months"	0.0616433
"more than @@ minutes"	0.0606433
"five decades"	0.0604392
"one weekend"	0.0597148
"more than three weeks"	0.0593114
"Five days ago"	0.0592353
"more than four hours"	0.0592244
"over @@ months"	0.0591486
"another four years"	0.058971
"up to @@ hours"	0.0586837
"up to three years"	0.058311
"four days"	0.0581403
"more than two weeks"	0.0578861
"about one hour"	0.057783
"up to @@ months"	0.057381
"almost two decades"	0.0573174
"next six months"	0.0569845
"nine hours"	0.0569598
"next four years"	0.0564106
"five to @@ years"	0.0562076
"next two years"	0.056185
"over two months"	0.055904
"less than three months"	0.0555687
"four hours"	0.055538
"more than four decades"	0.055517
"next three weeks"	0.0554042
"over two hours"	0.0553285
"more than four months"	0.0552979
"nearly @@ months"	0.0549282
"another two years"	0.0548689
"another @@ days"	0.0546291
"less than three weeks"	0.0545413
"over @@@ years"	0.0544396
"up to @@ days"	0.0539747
"less than @@ hours"	0.0535843
"seven decades"	0.0535615
"another three years"	0.0535305
"last seven years"	0.0530201
"another @@ minutes"	0.0528778
"next two weeks"	0.0527593
"nearly two weeks"	0.052648
"up to two weeks"	0.0520116
"nearly three weeks"	0.0518983
"last nine years"	0.0503288
"nine days"	0.0500484
"over @@ minutes"	0.0497799
"another @@ months"	0.0496824
"nearly four decades"	0.0495926
"less than two months"	0.0494969
"almost two weeks"	0.0484004
"last four years"	0.0480199
"nearly three hours"	0.0480116
"seven months ago"	0.047657
"next two months"	0.0475928
"about @,@@@ years ago"	0.0468642
"nearly four hours"	0.0468601
"about five hours"	0.0462902
"from @@@@-@@@@"	0.0461871
"next seven years"	0.0459712
"Ten minutes"	0.0455302
"less than @@ minutes"	0.0455072
"two months ago"	0.045187
"first three years"	0.0451199
"past four years"	0.0450272
"over @@ years ago"	0.0447459
"next @@ minutes"	0.0447281
"a few weeks ago"	0.0445048
"up to @@ minutes"	0.0438503
))
("about two years ago" (desc 1500.64) (sims
"eight months ago"	0.252764
"about five years ago"	0.232858
"Five months ago"	0.220504
"about four years ago"	0.21723
"more than two years ago"	0.216297
"about @@ years ago"	0.212579
"seven months ago"	0.209158
"nearly two years ago"	0.204808
"nine months ago"	0.198923
"about three years ago"	0.19561
"six years ago"	0.189871
"two months ago"	0.185155
"seven years ago"	0.180214
"about @@ months ago"	0.177138
"less than two years ago"	0.174604
"six months ago"	0.173559
"three years ago"	0.169369
"almost @@ years ago"	0.159698
"eight years ago"	0.155157
"four months ago"	0.153056
"a few months ago"	0.152463
"nine years ago"	0.148058
"more than @@ years ago"	0.147106
"four years ago"	0.145627
"more than two decades ago"	0.144857
"nearly @@ years ago"	0.143232
"two years ago"	0.138249
"three days ago"	0.136939
"nearly three years ago"	0.132071
"three months ago"	0.129557
"nine days ago"	0.12867
"four weeks ago"	0.127069
"five years ago"	0.126792
"four days ago"	0.124362
"Five days ago"	0.12354
"one year ago"	0.122281
"six weeks ago"	0.120348
"more than three years ago"	0.117598
"two weeks ago"	0.117233
"three weeks ago"	0.115899
"about two weeks ago"	0.113997
"Ten years ago"	0.109083
"a few years ago"	0.108295
"about @,@@@ years ago"	0.10776
"seasons ago"	0.1074
"a few weeks ago"	0.106701
"years ago"	0.105599
"over @@ years ago"	0.105016
"about two months ago"	0.103106
"five weeks ago"	0.102181
"about three weeks ago"	0.0962165
"months ago"	0.0960499
"two decades ago"	0.0950994
"weeks ago"	0.092327
"decade ago"	0.0867986
"week ago"	0.0813337
"decades ago"	0.0802983
"a few days ago"	0.0795943
"one month ago"	0.0782507
"one week ago"	0.0782024
"six days ago"	0.0778435
"Less than two weeks"	0.0751588
"time ago"	0.0743017
"four decades ago"	0.0742422
"month ago"	0.0727564
"two days ago"	0.0727526
"three decades ago"	0.0694941
"Dec @"	0.0690788
"less than two years"	0.0678525
"less than @@ hours"	0.0668644
"Aug. @."	0.0666952
"days ago"	0.0649002
"Jan. @."	0.0645793
"one night"	0.0638533
"Feb. @."	0.0627431
"nearly two decades ago"	0.0605856
"less than four months"	0.060283
"less than two weeks ago"	0.0594425
"nearly two weeks ago"	0.0593865
"over six months"	0.0587855
"less than three months"	0.0573035
"less than three weeks"	0.0562397
"Sunday, Oct @@"	0.0557787
"nearly two years"	0.0557164
"Sunday, May @@"	0.0524579
"Dec. @."	0.0509106
"one weekend"	0.0496528
"Saturday, June @@"	0.0468421
"Saturday, July @@"	0.0466392
"Tuesday, Sept @@"	0.0462828
"about @ @/@ hours"	0.0460695
"less than two months"	0.0457196
"over four years"	0.0451709
"more than @@@ years ago"	0.0450217
"nearly three times"	0.0439178
"about three months"	0.0438779
Tanganyika	0.0435306
"January @."	0.0429484
"ten days"	0.0426119
"almost two months"	0.0422843
"Sunday, Aug @@"	0.0416765
"about three hours"	0.0412505
"nearly @@ months"	0.0410011
"nearly three months"	0.0408008
"about two weeks"	0.0406941
"over five years"	0.0405909
"about six months"	0.0401788
))
("about two-thirds" (desc 10748.7) (sims
"nearly two-thirds"	0.208683
"about one-third"	0.186623
"More than two-thirds"	0.179182
"More than one-third"	0.174612
"about one-fifth"	0.171716
one-fourth	0.169235
"one third"	0.168624
two-thirds	0.168615
"about one-fourth"	0.16413
"roughly two-thirds"	0.161488
thirds	0.160278
one-fifth	0.159958
"almost two-thirds"	0.157639
three-fourths	0.155534
one-third	0.15382
"About @@ per cent"	0.152475
"nearly one-third"	0.152187
"almost one-third"	0.150205
"one fifth"	0.148067
"about three-quarters"	0.146548
"About @@.@ percent"	0.146426
"about @@ percent"	0.146111
"More than one third"	0.143729
"Eighty percent"	0.142932
"over one-third"	0.142028
"about one-quarter"	0.140825
"More than three-quarters"	0.139904
"about one third"	0.139327
Four-fifths	0.135221
"nearly one third"	0.131008
"about @ percent"	0.128682
"Fifty percent"	0.126569
"more than three-fourths"	0.125491
"more than one-fourth"	0.122521
three-quarters	0.121665
"one sixth"	0.121635
"Seventy percent"	0.121318
"over one third"	0.121008
"roughly one-third"	0.119546
"Sixty-five percent"	0.118233
"ten percent"	0.116816
"nearly one-fourth"	0.116562
"about one-tenth"	0.114765
"one tenth"	0.114587
"Sixty percent"	0.113895
"about three-fourths"	0.113589
"one quarter"	0.112285
"nearly one-fifth"	0.111685
one-quarter	0.11151
"Forty percent"	0.110512
bulk	0.109155
three-fifths	0.108786
"about five percent"	0.108777
"Nearly three-quarters"	0.108223
"Twenty percent"	0.107613
"about one quarter"	0.107455
"Twenty-five percent"	0.106084
fraction	0.105251
"Fifteen percent"	0.1043
"more than one-fifth"	0.104115
"about @.@ percent"	0.103765
"Ninety percent"	0.102965
one-tenth	0.102828
"Thirty percent"	0.102266
fifths	0.101338
"About three quarters"	0.100839
one-sixth	0.0995618
"less than one percent"	0.0989124
"about four percent"	0.0979569
"More than three quarters"	0.0977736
"Eighty-five percent"	0.0977669
two-fifths	0.0971601
"over two-thirds"	0.0962446
"Seventy-five percent"	0.095556
"Ninety-five percent"	0.0940531
"representative sample"	0.0915435
"Fifty-five percent"	0.0911164
"three quarters"	0.0900204
percentage	0.0898177
"about one percent"	0.0898108
"less than five percent"	0.0881996
tenth	0.0866739
"about two percent"	0.0866036
"less than @.@ percent"	0.0858441
one-eighth	0.0850081
"one percent"	0.0846708
"about @.@@ percent"	0.0837782
"five percent"	0.0833615
two-third	0.0826665
"two percent"	0.0820684
one-seventh	0.0813703
"about three percent"	0.0808533
"less than one-third"	0.0800884
majority	0.0797418
"more than @.@ percent"	0.0786678
proportion	0.0779698
"About @,@@@"	0.0765055
"about @@,@@@"	0.0751607
"seven percent"	0.0748659
"eight percent"	0.0737588
"four percent"	0.0736583
"about @@ million"	0.0736037
"another third"	0.0723409
one-half	0.0717342
portion	0.0711291
"six percent"	0.070059
"Forty-five percent"	0.0694506
percent	0.0691081
"about @.@ million"	0.0667325
"nine percent"	0.0665005
"about @@@ percent"	0.0662395
"three percent"	0.0657844
"about @@@,@@@"	0.065693
shrinking	0.0642861
"about $@@ billion"	0.0639444
"about @ million"	0.0620558
"about $@.@ billion"	0.0614642
"about $@@@ million"	0.0611747
chunk	0.0590107
doubling	0.0588114
"large number"	0.0586268
"about @@@"	0.0568432
"how many"	0.0562515
nine-tenths	0.0558586
"Almost three-quarters"	0.05577
"random sample"	0.055216
"about $@@@ billion"	0.0548479
"about $@@ million"	0.0546633
"more than @@@,@@@ hectares"	0.054366
"another @@.@ percent"	0.0542811
"over @@.@ percent"	0.0540259
"about $@ billion"	0.0537263
"good part"	0.0536706
"One hundred percent"	0.0534854
"how much"	0.0534556
"cross section"	0.0524706
"more than @ million"	0.0509217
subset	0.0508829
"up to @@.@ percent"	0.0498307
"nearly $@ billion"	0.049729
"less than one-tenth"	0.0494761
remainder	0.0491985
"about @@ to @@"	0.0488709
"roughly @@"	0.0478085
"About @@,@@@ hectares"	0.0474445
"about @@@,@@@ hectares"	0.0471011
"about @@.@ million"	0.0467401
half-dozen	0.0464164
"more than @@@,@@@"	0.0464036
"more than @@,@@@ hectares"	0.0463132
"more than @,@@@"	0.0462998
"nearly @@@,@@@"	0.0458614
Eighteen	0.0456659
"more than @@,@@@"	0.0455659
"absolute majority"	0.0452453
"almost @@"	0.0449181
sliver	0.0442051
"market expectation"	0.0441864
"more than @,@@@ hectares"	0.0439599
"One Million"	0.0434821
plurality	0.0426277
"about @@@ tons"	0.0426122
"about @@@ million"	0.0424992
"five million"	0.0423838
"nearly $@@@ billion"	0.0420002
lifeblood	0.0417077
"over $@@@ million"	0.0414812
"about @@@,@@@ tons"	0.0414164
ratio	0.0408746
Fourteen	0.0408526
"core group"	0.0408001
"about @@,@@@ acres"	0.0407541
poorest	0.0407518
"about $@ million"	0.0403875
tripling	0.0402891
"about @@@ million dollars"	0.0400729
livelihood	0.0400472
"over @@@,@@@"	0.0400009
))
(about-face (desc 6567.92) (sims
turnabout	0.186303
"change of direction"	0.142617
reversal	0.121834
turnaround	0.117966
u-turn	0.108546
"turn of events"	0.101798
"temperature change"	0.0787662
"abrupt change"	0.0686036
"change of mind"	0.0685248
"policy change"	0.0639615
flip-flop	0.0624897
"piece of work"	0.0613949
shake-up	0.0606604
reshuffle	0.0593924
divergence	0.0591145
rapidity	0.0590941
transformation	0.0587169
shakeup	0.0578369
acknowledgement	0.0577504
metamorphosis	0.0575978
upturn	0.0574626
upsurge	0.0565908
repudiation	0.0559573
dropoff	0.0554236
Dismissal	0.0547013
miscalculation	0.0538465
thaw	0.0537272
setback	0.0534956
Tightening	0.0527568
"management change"	0.0524217
"market correction"	0.0520791
deviation	0.0520633
acceleration	0.0519715
"turning point"	0.0517888
breakthrough	0.0515456
ouster	0.0514462
"small change"	0.0514051
swiftness	0.0507285
ploy	0.0507084
selloff	0.0494505
reshuffling	0.0494083
make-over	0.048846
"rate cut"	0.0488449
makeover	0.0488359
omission	0.048741
reorientation	0.0486431
bluntness	0.0484202
revelation	0.0476425
stoppage	0.0476344
disclosure	0.0476328
deceleration	0.0475363
cutback	0.0474067
vindication	0.0469063
unanimity	0.0465799
sell-off	0.0465295
sacking	0.0462237
hypocrisy	0.0460169
escalation	0.0459218
"price change"	0.0458238
revision	0.0454672
defection	0.045425
realignment	0.045286
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0447749
"state of affairs"	0.0446502
exoneration	0.0446488
"raw data"	0.0444753
"rate hike"	0.0443724
shocker	0.0440424
"end run"	0.0439769
cancellation	0.0437873
striptease	0.0437861
epiphany	0.0435492
dichotomy	0.0435291
juxtaposition	0.0435067
catharsis	0.0434806
outspokenness	0.0434326
"personal appeal"	0.0433894
hiccup	0.0431937
abandonment	0.0431881
"cold spell"	0.0430648
downfall	0.0426747
Intensification	0.0423709
breakout	0.0423674
alteration	0.0421888
gaffe	0.0421441
acknowledgment	0.0421161
"trial balloon"	0.0420231
softening	0.0418568
"choice of words"	0.0418038
stunt	0.0417918
disappearance	0.0417589
rethinking	0.0416064
self-examination	0.0414829
sell-offs	0.0413379
comedown	0.0413203
triage	0.041297
"margin call"	0.0412913
aberration	0.0412885
stat	0.0412095
pirouette	0.0411195
shutdown	0.0410246
reprieve	0.0409609
"face lift"	0.0408591
outburst	0.0408522
"double standard"	0.0407893
reorganization	0.0407618
"God's Will"	0.040581
deterioration	0.0405079
blunder	0.040465
easing	0.0404341
Gambit	0.0404109
))
(above (desc 1365.82) (sims
"media property"	0.0724177
sub-indices	0.0681397
non-Social	0.0667987
deftness	0.0655688
"Medicare HMOs"	0.0637163
frontrunners	0.0629274
negativity	0.0601681
rushers	0.0582676
blather	0.0573996
timeouts	0.0567649
Graziani	0.0561606
"personal property"	0.0543884
gyroscope	0.0540884
co-leaders	0.0537771
bluster	0.053478
"member bank"	0.0520233
"New York Harbor"	0.0513513
Cs	0.0512432
batsmen	0.0509939
adjective	0.0505643
pullbacks	0.0500488
"Australian state"	0.0499463
crewmembers	0.0496467
"Flagler County"	0.0493566
"Garden City"	0.0492719
belligerents	0.0484863
"risk factor"	0.0480235
Chemo	0.0473906
returnees	0.0472042
guile	0.0471091
par-@s	0.0470794
slickness	0.0470453
AZT	0.0469534
"political detainee"	0.0469359
minicamps	0.0466167
trash-talking	0.0464419
"Bill Lann Lee"	0.0459936
Rockettes	0.0456088
Sens	0.0452406
"seeded player"	0.0451204
finds	0.0449761
ATX	0.0448146
"loose end"	0.0446046
Elitism	0.0444566
supplicant	0.0441526
"Member States"	0.0439081
quarterfinalists	0.0437424
"Warsaw Pact"	0.0434411
brawler	0.0433328
"Lusaka Peace Accord"	0.0431265
"rating system"	0.0430802
permutation	0.0428847
"base runner"	0.0424717
year.	0.0421848
upperclassmen	0.0421223
"Roth IRAs"	0.041864
"health care provider"	0.0416999
Colosseum	0.0416545
vote-getters	0.041378
specialities	0.0413496
harder	0.0406312
serendipity	0.0406268
student-athletes	0.0404581
"number crunching"	0.0404195
E-ZPass	0.0400665
))
(Abraham (desc 8776.97) (sims
Ashcroft	0.111038
Brownback	0.102867
McConnell	0.102862
Snowe	0.101154
Joseph	0.101042
Santorum	0.0945491
"Richard Williams"	0.0940716
Mohammed	0.0932221
Gramm	0.0898525
Dewine	0.0890179
Chafee	0.0889645
Gorton	0.0882418
Kopp	0.0881748
Nickles	0.0861258
Brazile	0.0857489
Hagel	0.0856855
Jacob	0.0845721
Flanagan	0.083758
Kyl	0.0830451
Grassley	0.0812698
Spitzer	0.0804199
Allard	0.0803728
frist	0.080274
Moses	0.0802225
Ackerman	0.0801255
Isaac	0.0800682
Torricelli	0.0799375
Cooley	0.0799153
Murkowski	0.0796795
Ghani	0.0793343
"King David"	0.0793341
Feinstein	0.0790772
"Robert F. Kennedy"	0.0789058
Fiorina	0.0788432
Doggett	0.0778962
Muhammad	0.0766866
Moynihan	0.0764438
Coverdell	0.0754751
Cornyn	0.0752576
Ellis	0.0749882
Barr	0.0746835
Roth	0.0736198
Danforth	0.0735112
Pelosi	0.0729392
Hutchison	0.0729014
"Jesus Christ"	0.0728217
D'Amato	0.072754
Lott	0.0724801
"Lee Kuan Yew"	0.0720922
Tauzin	0.072057
Coelho	0.0718388
McCollum	0.0715151
Ibrahim	0.0713217
Kirkpatrick	0.0704114
Pittman	0.0703143
Stayner	0.0702116
Barshefsky	0.0701374
Garcetti	0.0700455
Craig	0.0696915
Samuel	0.0696476
Kurtz	0.0695521
"Jeb Bush"	0.0695236
Sibley	0.0687149
Skakel	0.0685878
Sakyamuni	0.0685407
Gusinsky	0.068498
Shinn	0.068327
Manuel	0.0681263
SHUSTER	0.068115
Andrei	0.0681141
Anthony	0.0680472
Hayden	0.0679897
Bowers	0.0678346
Lautenberg	0.0677233
Daschle	0.0674928
Lockyer	0.067344
Waxman	0.067329
Shayler	0.067189
Abram	0.0669707
Solomon	0.0668878
Domenici	0.066854
Walter	0.0666806
Campbell	0.066496
Meehan	0.0662513
Chung	0.0662254
Joshua	0.0660729
Leavitt	0.0655638
Mario	0.0655486
Yates	0.0655267
Cremins	0.0652459
Murray	0.0651044
Brennan	0.0647807
"Sally Hemings"	0.0647554
Dingell	0.0647267
Kaunda	0.0644807
Shays	0.0644241
Mortimer	0.0643405
Jacobs	0.0642814
Inhofe	0.0641747
Ali	0.064172
Confucius	0.0640901
"Kim Il Sung"	0.0640717
Taft	0.0637644
Thurmond	0.063037
Meissner	0.0630158
Lugar	0.0629439
McCaffrey	0.062928
Cline	0.0628724
hatch	0.0628349
Helms	0.0628057
Richard	0.0626656
Farber	0.0626101
Peter	0.0625214
Torres	0.0624673
Jesus	0.0623896
Elliott	0.062227
hodgson	0.0620588
Frank	0.062049
Jeffords	0.0618915
Kennedy	0.0618119
Parker	0.0617822
Rowland	0.0617696
Hussein	0.0616397
Wiggins	0.0616097
Phillip	0.0615603
Voinovich	0.0615028
Rosenthal	0.0614101
Archer	0.0613682
Lieberman	0.0613105
Goodman	0.0612773
Kerry	0.0612735
Ferguson	0.0611586
O'Sullivan	0.0611055
"Juan Miguel Gonzalez"	0.0609918
Merlino	0.0608356
Carruth	0.0607936
Mcbride	0.0607859
"Thomas Jefferson"	0.0607416
Leach	0.0606888
Bennett	0.0606788
Merritt	0.060664
Valenzuela	0.0605943
Nasrin	0.0604465
Tilberis	0.0603665
Quayle	0.0603523
James	0.0603165
cain	0.0603125
Goldstein	0.0601671
Armey	0.0601557
Jefferson	0.0600705
Marulanda	0.0600179
Christ	0.0599099
Isaiah	0.0598663
Schumer	0.0598132
Gregg	0.0597857
Solich	0.0596221
Burke	0.0595693
Hutchinson	0.0595217
ROMNEY	0.0594744
Krstic	0.0594488
Maslyukov	0.0593241
knight	0.0592858
Betts	0.0592797
Boone	0.0592291
Coughlin	0.059198
Thompson	0.059179
McCall	0.0591219
Difrancesco	0.05909
Krishna	0.0590725
Shapiro	0.0589543
Cavallo	0.0589418
Morrison	0.0587493
Faget	0.0586884
Levin	0.058555
Goldin	0.0584731
Fay	0.0584033
Hallinan	0.0583997
perry	0.0583635
Kazhegeldin	0.0582117
Alexander	0.0581949
Finkel	0.058191
Madden	0.0581884
Johnston	0.05816
Zeus	0.0581197
Thomas	0.0580994
Berenson	0.0579748
Olson	0.0579108
Daley	0.057899
Kagalovsky	0.0578924
Howard	0.0578859
Townsend	0.0578802
Suarez	0.0578733
Evans	0.0578171
Metcalf	0.0577825
Krajisnik	0.0577189
Mohamed	0.0575954
Gephardt	0.0575857
Robert	0.0575284
Arron	0.0574879
Papandreou	0.0574591
))
("Abraham Lincoln" (desc 8947.81) (sims
"John F. Kennedy"	0.200913
"Andrew Jackson"	0.189455
"Woodrow Wilson"	0.185316
"Franklin Roosevelt"	0.182862
"Franklin D. Roosevelt"	0.17887
"George Washington"	0.165449
"John Adams"	0.156004
"Franklin Delano Roosevelt"	0.152942
"Martin Luther King Jr."	0.151015
"Benjamin Franklin"	0.149625
"Thomas Jefferson"	0.146268
"Theodore Roosevelt"	0.144819
"Harry Truman"	0.141519
"Winston Churchill"	0.137273
"James Madison"	0.135828
"Ronald Reagan"	0.130842
"Dwight D. Eisenhower"	0.129775
"John Kennedy"	0.123747
Lincoln	0.122712
"Teddy Roosevelt"	0.120583
"Ulysses S. Grant"	0.119687
"Robert E. Lee"	0.119618
"Herbert Hoover"	0.110445
"Dwight Eisenhower"	0.10992
"Lyndon Johnson"	0.106915
"Lyndon B. Johnson"	0.104438
"Alexander Hamilton"	0.103497
"Martin Luther King"	0.0980472
"Robert F. Kennedy"	0.0931606
Gandhi	0.0924758
"Richard Nixon"	0.0924131
Rabin	0.0915869
"Richard M. Nixon"	0.089596
"Calvin Coolidge"	0.0895803
"Yitzhak Rabin"	0.0882892
"Jimmy Carter"	0.0871121
FDR	0.0868608
"Gerald Ford"	0.0846944
Eisenhower	0.0837744
"Harry S. Truman"	0.083093
Sadat	0.0811955
"Adolf Hitler"	0.0788486
"John Paul II"	0.0784506
Hajdari	0.0781376
"George Bush"	0.0777092
Roosevelt	0.0754583
"Robert Kennedy"	0.0738251
"Mark Twain"	0.0736261
"Susan B. Anthony"	0.0736037
RFK	0.0734849
"founding father"	0.0726307
Reagan	0.0712147
JFK	0.0711988
"Lu Xun"	0.0711267
"Sam Houston"	0.0689318
Bulatovic	0.0688312
"Mao Zedong"	0.0683991
"Rajiv Gandhi"	0.0682804
"Malcolm X"	0.0671167
"Albert Einstein"	0.0670838
"Kim Il Sung"	0.0670435
Kennedy	0.0662202
"Ernest Hemingway"	0.0655755
Lenin	0.0654874
"Dr. Sun Yat-Sen"	0.0647559
Nyerere	0.064709
"John Quincy Adams"	0.0646883
Mitterrand	0.0644448
"Mahatma Gandhi"	0.064342
"Mother Teresa"	0.0639017
"civil rights leader"	0.0636835
"Medgar Evers"	0.063638
Diana	0.0635307
Aristide	0.0634514
Buddha	0.0633423
Sakyamuni	0.0629453
Shui-bian	0.0625178
"George Bernard Shaw"	0.0622595
"Simon Bolivar"	0.0621
"John Lennon"	0.0620236
"Azem Hajdari"	0.0619802
Truman	0.0610098
Confucius	0.0609174
"Adlai Stevenson"	0.0608049
"Princess Diana"	0.0607608
"Che Guevara"	0.0601887
Stephanopoulos	0.0599344
"Charles Darwin"	0.0597558
"Kim Dae Jung"	0.0591451
Mao	0.0590695
"Margaret Thatcher"	0.0587132
"Hafez Assad"	0.0585489
"Nelson Mandela"	0.0583884
Churchill	0.0580106
"Thabo Mbeki"	0.0576719
"Charles de Gaulle"	0.0572988
"P.T Barnum"	0.0568368
Hitler	0.0566616
"Fidel Castro"	0.0565383
"Elvis Presley"	0.0563193
"Indira Gandhi"	0.0562597
"Confederate soldier"	0.0561419
"Sally Hemings"	0.0559569
Menem	0.0558441
"Lech Walesa"	0.0555337
"Jesus Christ"	0.0555333
"Eleanor Roosevelt"	0.0552596
Goethe	0.0551589
"Queen Victoria"	0.0549825
"Mikhail Gorbachev"	0.0548482
Wahid	0.0547882
"Barry Goldwater"	0.0545164
"Vaclav Havel"	0.0543088
"Bill Clinton"	0.0542183
"Truman Capote"	0.0537336
"Megawati Sukarnoputri"	0.0535443
"Frank Sinatra"	0.0533636
Rua	0.0531168
deceased	0.0528391
Guevara	0.0526076
Nazarbayev	0.0525468
"Andrew Johnson"	0.0523444
"Abdurrahman Wahid"	0.0523351
"Marilyn Monroe"	0.0522926
Khomeini	0.0518901
Slepian	0.0518404
"Karl Marx"	0.0518068
"Boris Yeltsin"	0.0515913
Zeroual	0.0515719
Jefferson	0.0514446
"Sepp Blatter"	0.0512551
"Mohammad Khatami"	0.051053
"Galina Starovoitova"	0.0509848
"Joe DiMaggio"	0.050949
"Babe Ruth"	0.0509381
Biko	0.0506928
"James P. Hoffa"	0.0506548
Sacagawea	0.0502496
McKinley	0.0500487
"Bobby Kennedy"	0.0499799
Tudjman	0.0498474
"Jacques Chirac"	0.0498247
Assad	0.0493047
Trudeau	0.0492529
"Gertrude Stein"	0.0492139
"Pope John Paul II"	0.0492068
"Ho Chi Minh"	0.0491888
emperor	0.0491135
Moses	0.0485704
"Deng Xiaoping"	0.0485109
"William Jefferson Clinton"	0.0484186
Lukashenko	0.0483557
Napoleon	0.0483519
"Krishna Prasad Bhattarai"	0.0482952
"Muhammad Ali"	0.048119
"Liu Shaoqi"	0.0480994
"Kim Jong Il"	0.0479567
Mbeki	0.0478751
"John D. Rockefeller"	0.0477521
"Elizabeth Dole"	0.0475835
"Hillary Rodham Clinton"	0.0474651
"Jacqueline Kennedy Onassis"	0.0474535
Katsav	0.0474413
"John Sweeney"	0.0473322
"Ricardo Lagos"	0.0472077
"Carlos Salinas"	0.0471749
"Aslan Maskhadov"	0.0471691
"Hugo Chavez"	0.0470832
"George Wallace"	0.0470805
"Dalai Lama"	0.0466497
"Alfred Hitchcock"	0.0463469
"James Byrd"	0.0463449
Christ	0.0462846
Raznatovic	0.0462509
Masire	0.0462074
"Wim Duisenberg"	0.0461892
Klestil	0.0460389
"George McGovern"	0.0460164
al-Assad	0.0460084
Khatami	0.0460045
Coverdell	0.045974
"Oscar Wilde"	0.0459637
Nixon	0.0459464
"Ibrahim Rugova"	0.0459427
"Patrick Dorismond"	0.045879
grandfather	0.0458176
pope	0.0457651
"Scott Harshbarger"	0.0456374
Chen	0.0456082
Obasanjo	0.0455806
"Will Rogers"	0.0454994
"Virgin Mary"	0.0453373
Deng	0.045288
Arkan	0.0451687
"Jacqueline Kennedy"	0.0451675
"Charles Taylor"	0.0451403
Zhou	0.0450759
"Franjo Tudjman"	0.0449937
Ileto	0.0449878
Obuchi	0.0448234
))
("Abraham Olano" (desc 4106.34) (sims
"Fernando Escartin"	0.37174
"Miguel Indurain"	0.321245
"Laurent Jalabert"	0.306578
"Alex Zulle"	0.3065
"Laurent Brochard"	0.292445
"Johan Museeuw"	0.266912
"Carlos Sainz"	0.2642
"Marco Pantani"	0.254195
"Chris Boardman"	0.224848
"Alex Zuelle"	0.224065
Olano	0.223818
"Paul Tergat"	0.218635
"Pavel Tonkov"	0.216017
Ullrich	0.215245
"Tommi Makinen"	0.207301
"Francesco Casagrande"	0.207003
"Erik Zabel"	0.20677
"Richard Virenque"	0.199764
"Sergi Bruguera"	0.193298
"Colin McRae"	0.190952
"Laurent Dufaux"	0.187809
Sainz	0.187241
"Katja Seizinger"	0.185293
"Michael Doohan"	0.184381
"Michele Bartoli"	0.179753
"Moses Tanui"	0.179714
"MIka Hakkinen"	0.173536
"Daniel Komen"	0.173385
"Albert Costa"	0.171027
"Felix Mantilla"	0.165615
"Lance Armstrong"	0.165378
"Francisco Clavet"	0.164471
"Maria Butyrskaya"	0.163133
"Arantxa Sanchez Vicario"	0.162386
"Carlos Moya"	0.16197
"Hilde Gerg"	0.160854
"Li Jiajun"	0.160294
"Juha Kankkunen"	0.158284
"Hermann Maier"	0.158085
Jalabert	0.154441
"Thomas Stangassinger"	0.154121
"Alex Corretja"	0.152185
"Irina Slutskaya"	0.152136
"Richard Burns"	0.151875
"Tom Steels"	0.151371
"Bjarne Riis"	0.150668
"Galo Blanco"	0.150299
"Michael Schumacher"	0.149776
"Michael Von Gruenigen"	0.149218
"Tegla Loroupe"	0.148726
"Garry Kasparov"	0.147495
"Pernilla Wiberg"	0.14749
"Lasse Kjus"	0.146968
"Carlos Costa"	0.146765
"Jacques Villeneuve"	0.146663
"Jose Maria Olazabal"	0.146374
"Svetlana Khorkina"	0.145981
"Damon Hill"	0.14493
"Juan Carlos Ferrero"	0.144469
"Rintje Ritsma"	0.142786
"Svetlana Masterkova"	0.142711
"Mario Cipollini"	0.140205
"Arantxa Sanchez-Vicario"	0.140101
Pantani	0.139542
"Stuart O'Grady"	0.139269
"Kjetil Andre Aamodt"	0.137897
"Alexandra Meissnitzer"	0.137273
"Martina Ertl"	0.136337
"Fatuma Roba"	0.136219
Zuelle	0.135683
"Conchita Martinez"	0.135605
"Claudia Pechstein"	0.13538
"Renate Goetschl"	0.134607
"Alberto Costa"	0.134477
"Deborah Compagnoni"	0.13333
"Alberto Berasategui"	0.133292
"Jansher Khan"	0.132929
"Maria Mutola"	0.132583
"Chen Lu"	0.130926
Shuwei	0.130879
"Ivan Pedroso"	0.130725
"Albert Portas"	0.130455
"Gunda Niemann-Stirnemann"	0.130415
"Anita Wachter"	0.130327
"Sonia O'Sullivan"	0.130114
"Dong Jiong"	0.129053
"Alex Zanardi"	0.128302
"Max Biaggi"	0.128028
"Kieren Perkins"	0.127986
"Javier Sanchez"	0.127752
"Miguel Angel Jimenez"	0.127591
"Wang Yifu"	0.12599
"Jorgen Persson"	0.125847
"Ye Zhaoying"	0.125683
"Allen Johnson"	0.12544
"Brooke Bennett"	0.125035
"Deon Hemmings"	0.124743
"American Pete Sampras"	0.123282
"Jean-Philippe Gatien"	0.122407
"David Coulthard"	0.12152
"Fu Mingxia"	0.120788
"Kenny Brack"	0.118842
"Peter Rasmussen"	0.118732
"Joko Suprianto"	0.118618
"Irina Privalova"	0.118379
"Eddie Cheever"	0.118273
"Frenchman Laurent Jalabert"	0.117819
"Inger Miller"	0.117171
"Julian Alonso"	0.116859
"Anjelika Krylova"	0.116225
"Elvis Stojko"	0.115997
"Elena Berezhnaya"	0.115947
"Gabriela Szabo"	0.115868
Doohan	0.115665
"Alexei Yagudin"	0.115332
"Magui Serna"	0.114987
"Jeremy Wotherspoon"	0.114342
"Frank Bruno"	0.113818
"Yu Zhuocheng"	0.113644
"Mercatone Uno"	0.113111
"Khalid Khannouchi"	0.112213
"Anatoly Karpov"	0.111231
Longo	0.110799
"Derrick Adkins"	0.110094
"Jimmy Vasser"	0.109908
"Didier Auriol"	0.109576
"Liu Limin"	0.109284
"Todd Eldredge"	0.109074
"Isolde Kostner"	0.10899
"Sergio Garcia"	0.10848
"Dale Jarrett"	0.108334
"Bruny Surin"	0.10817
"Alexei Nemov"	0.107579
"Eddie Irvine"	0.107188
"Guo Jingjing"	0.107103
"Susie O'Neill"	0.106657
Makinen	0.106625
"Liu Xuan"	0.106487
"Heryanto Arbi"	0.106421
"Claudia Poll"	0.106319
"Gail Devers"	0.105933
"Simona Amanar"	0.10588
"Roy Jones Jr."	0.105232
"Real Madrid"	0.105115
"Vanessa Atler"	0.104617
"Rodney Eyles"	0.104267
"Kong Linghui"	0.103914
"Le Jingyi"	0.103866
"Ivan Ivankov"	0.10385
"Bobby Julich"	0.103247
"C.J Hunter"	0.102612
"Linford Christie"	0.102606
"Wang Nan"	0.102442
"Michael Chang"	0.102436
"Cathy Freeman"	0.102204
"John Godina"	0.102166
"Ian Thorpe"	0.101789
"Ge Fei"	0.101464
Virenque	0.101218
"Liu Guoliang"	0.10064
"Blaine Wilson"	0.100536
"Michelle Kwan"	0.100405
"Michael Weiss"	0.100155
"Dalian Wanda"	0.100045
"Tyler Hamilton"	0.0996503
"Samantha Riley"	0.099389
"Ato Boldon"	0.0991263
"Maurice Greene"	0.0983381
Tanui	0.0982167
"Yang Yang"	0.0980603
Karpov	0.0975348
"Juli Inkster"	0.0974019
"Grant Hackett"	0.0967082
"Andre Agassi"	0.0966873
Villeneuve	0.0962933
"Jubilo Iwata"	0.0961407
"Bjarte Engen Vik"	0.096008
"Wang Yan"	0.0956008
"Wu Yanyan"	0.0955926
Sautin	0.0954955
"Picabo Street"	0.0949634
"Buster Douglas"	0.0938511
"Wilson Kipketer"	0.0937959
"FC Barcelona"	0.0928217
"Xiong Ni"	0.0927774
Devers	0.0926229
"Jeff King"	0.0922954
"Thomas Muster"	0.0919743
"Olin Browne"	0.0916558
"Wang Chunlu"	0.0916197
"Peter Gade Christensen"	0.0914975
"Gianni Romme"	0.0909049
"Doug Walker"	0.0905456
"Heinz-Harald Frentzen"	0.0902889
Susanti	0.0900733
"Boris Becker"	0.0899998
"Donovan Bailey"	0.0897604
Bruguera	0.0897507
"Michael Klim"	0.0892699
"Yevgeny Kafelnikov"	0.0888362
))
(Abram (desc 969.9) (sims
Tilberis	0.154989
Fiorina	0.154112
Kurtz	0.149189
Marchand	0.131604
Jaffe	0.128667
Merritt	0.124482
Brazile	0.121779
Rivlin	0.121608
Pape	0.120732
Suarez	0.116923
Alcorn	0.116398
Baum	0.115954
Garber	0.115257
Arron	0.114778
Bassett	0.114749
Betts	0.112236
Quintero	0.110417
Yoon	0.11039
Mucha	0.109828
Henning	0.108991
Kirkpatrick	0.108246
Webdale	0.108012
Briscoe	0.107621
Berenson	0.107052
Deneuve	0.104256
Huffington	0.103519
Egan	0.102983
nance	0.102425
Currier	0.101108
Chukwu	0.100564
Koop	0.099776
Britton	0.0991766
Wiggins	0.0989229
Ackerman	0.0987941
COYNE	0.0987714
Weil	0.0976157
Greenwald	0.097552
Figueroa	0.0975048
Morley	0.0971432
Orton	0.0971084
Laudor	0.0970716
Pruett	0.0969622
Rupert	0.096956
Farber	0.0966982
Reiter	0.0961682
Liston	0.0960908
Donnelly	0.0957704
Mortimer	0.0957498
"Sam Houston"	0.0957062
Ehrlichman	0.0956631
Mei	0.094735
Portnoy	0.0935712
swank	0.0928975
Slatkin	0.0927341
Madden	0.0926021
HELLER	0.0926015
Ziegler	0.0922531
Nasrin	0.0921047
Hanna	0.0920969
Hazen	0.0917929
Schiffer	0.0917164
Ono	0.0916368
Flockhart	0.091418
Wasserstein	0.0911079
Ciampi	0.0907396
DeFrantz	0.0905218
Adler	0.0902038
Markovic	0.0899026
McAuliffe	0.0898508
Garofalo	0.0898142
Rosenthal	0.0896788
Cleary	0.0894006
Kurth	0.0893723
Mullen	0.0893181
Soliah	0.0893085
Griffiths	0.0888551
Boardman	0.0886404
McFadden	0.088591
Couric	0.0885734
Blackmun	0.0883354
Waxman	0.0882159
Goldin	0.0880959
Upshaw	0.0880639
pressman	0.0879477
Meissner	0.0878877
Stahl	0.0878566
Lowry	0.0874676
Cline	0.0870138
Henley	0.0869782
Seligman	0.0865239
Hanley	0.086429
Bisek	0.0864224
Rowley	0.0863866
Sheedy	0.0862046
Donohue	0.0858713
Haynes	0.0858229
Paltrow	0.0857712
Akbar	0.0857025
Mckee	0.0855816
Kohn	0.0855344
Petersen	0.0854226
Sato	0.085317
Shriver	0.0850366
Gregory	0.0849677
Grunwald	0.0845341
Barad	0.0844346
Morse	0.0838475
Townsend	0.0836708
Brazill	0.0836663
Pearce	0.0835225
Heche	0.0832227
Carmichael	0.0830567
Oliveira	0.0827341
Rankin	0.0825626
Grossberg	0.0825141
Gaston	0.0824518
bock	0.0823854
Agca	0.0823677
Vasquez	0.0822881
Ashrawi	0.0821911
Vogel	0.0821855
Mapes	0.0821349
Cramer	0.0821197
Haines	0.0818082
Lockwood	0.0816069
Edson	0.0816062
Hamlin	0.0815718
Solomon	0.0815324
McCormack	0.0814751
Rossi	0.0813857
LeFave	0.0812268
Blanchett	0.0809003
Ekeus	0.0808692
Forrest	0.0808605
Whaley	0.0803889
Lari	0.0803095
Shapiro	0.0802111
Hsia	0.0801064
McDonnell	0.0798528
Boyle	0.0798219
Weiner	0.0796759
Falco	0.0796206
Tuttle	0.0795985
Greco	0.0795591
Molinari	0.0792596
Mustafa	0.0791025
Trevi	0.0790571
Hagen	0.0790323
Sang	0.0789734
Hahn	0.0789467
Naumann	0.0788251
Menchu	0.0788085
FAWCETT	0.0784127
Samuelson	0.0782559
Capano	0.0776283
Bates	0.0775709
Copeland	0.0775448
Dowd	0.0774046
Olson	0.0773472
O'Hara	0.0772385
Ivey	0.0771884
Northup	0.0770754
Lurie	0.0768185
singleton	0.0766969
Gilman	0.0766669
Schafer	0.0766569
Kagalovsky	0.0766512
Fabius	0.0766081
Roberson	0.0766039
Garvey	0.076478
Zuckerman	0.0761269
Hickman	0.0760603
Kingsley	0.0760368
Chenoweth	0.0759983
Patten	0.0759785
Puzo	0.0759639
Baer	0.0758477
Goldstein	0.0757082
Drexler	0.0753693
Chapman	0.0753414
Moscoso	0.0751667
Dunham	0.0750744
Stacy	0.0749946
Sheehy	0.0748952
Bloomfield	0.0748141
Mohamed	0.0747746
Silverstein	0.0747512
Autry	0.0744705
Brundtland	0.0744308
Arbour	0.0743539
Lerner	0.0737961
Jeffers	0.0737366
Peters	0.0737045
Blackman	0.0736385
Fink	0.0736337
Wolfson	0.0735781
Carlson	0.0735487
Alvarez	0.0733089
Karr	0.0732834
Streep	0.0732573
))
(Abrams (desc 5797.09) (sims
"Farrar, Straus &AMP; Giroux"	0.114735
"Warner Books"	0.113903
"Chronicle Books"	0.107892
"Pocket Books"	0.103933
Knopf	0.103579
"Henry Holt"	0.101506
"Oxford University Press"	0.101374
"Simon &AMP; Schuster"	0.100426
"Broadway Books"	0.0996205
"William Morrow"	0.0985408
Schuster	0.0950492
HarperCollins	0.0877481
Doubleday	0.0874314
MacMillan	0.085731
Dowd	0.0853486
"Random House"	0.0853446
Norton	0.0847938
"Basic Books"	0.0832173
Ballantine	0.0830066
"Free Press"	0.0816583
Wiley	0.0783281
Dutton	0.0778826
"Houghton Mifflin"	0.0771678
scholastic	0.0761867
Scribner	0.0739849
Morrow	0.0695826
Petersen	0.0686499
Patten	0.0677108
Doherty	0.0671574
Putnam	0.0671278
Bantam	0.0664664
Wiggins	0.0661329
Myhrvold	0.0657856
Pape	0.0654179
"St. Martin"	0.0651118
Berkley	0.0650391
"Modern Library"	0.0648045
Griffin	0.0645454
Betts	0.0637188
Rudman	0.0634691
Greenwald	0.0633991
Sensenbrenner	0.0631154
Fieger	0.0628098
Pearce	0.0625916
"Washington Times"	0.0615994
Epstein	0.0615477
Hyperion	0.0615408
Gillespie	0.0612437
MacKay	0.061078
Sheehy	0.0603571
Carmichael	0.0601359
"Jim Hunt"	0.0597486
Barshefsky	0.0597378
Ashrawi	0.0596271
Caddell	0.059477
Bowen	0.0592624
Seltzer	0.0591997
Britton	0.0589946
Prima	0.0585036
Locke	0.0583986
Garber	0.0581433
Avon	0.0580984
Kessler	0.0580598
Riverhead	0.0579053
Davies	0.0572972
Feldman	0.0572642
Aguirre	0.0571435
Newhouse	0.0571169
"Electronic Arts"	0.056784
Macdonald	0.0567527
Lyons	0.0566372
Hurley	0.0564181
DeFrantz	0.0563787
Rosen	0.0561743
Vasquez	0.0560694
Brenner	0.0559121
Farber	0.0558911
Brazile	0.0558581
Friedman	0.0558461
Gaffney	0.0556916
Levin	0.0555165
Lerner	0.0548628
Hagen	0.0547741
Cao	0.0547367
Akers	0.0546216
Cline	0.0546023
Kurtz	0.0544816
Weinstein	0.0541107
Hughes	0.054086
workman	0.0540648
Reyes	0.0540606
Eisner	0.0540569
Goldberg	0.0540139
"David Boies"	0.0539863
"Brown &AMP; Williamson"	0.053964
Bragg	0.0539446
Rossotti	0.0537733
Jenkins	0.0537422
Parsons	0.0537069
Shalala	0.0535331
Meehan	0.0535263
Mayer	0.0534723
Rosenthal	0.0533018
Weinberg	0.0532986
McDaniel	0.053289
Lautenberg	0.0532665
Huber	0.0532397
Bhattarai	0.0530378
Carlin	0.0530108
Saunders	0.0530001
Posner	0.0529317
Krall	0.0524972
Hess	0.0524193
Meeks	0.0520241
potter	0.0520003
HELLER	0.0519506
Spence	0.0519095
Tilberis	0.0518708
Weizman	0.0515709
Walsh	0.0515454
"Gregory Craig"	0.0514224
Molinari	0.0514206
Jaffe	0.0513411
Healy	0.0513243
Fuentes	0.0512895
"Jim Thomas"	0.051286
O'Connell	0.0512797
Berenson	0.0511612
Sherman	0.0511373
Rowley	0.0510319
Pelosi	0.0510113
Craig	0.0509777
Andersen	0.050905
drake	0.0506848
Morales	0.0506698
Oates	0.0506182
Schwartz	0.050553
Hanley	0.0505445
Ebersol	0.0505425
Harmon	0.0505244
capo	0.0505148
Morrison	0.0505086
Donohue	0.0504673
Flynt	0.0504405
Nasrin	0.0504326
Koop	0.050313
Mortimer	0.0501313
Hoddle	0.0501229
"Conde Nast"	0.049958
Schmalensee	0.0499461
SSB	0.0498807
Sims	0.0498461
Allchin	0.0497528
Evans	0.0497341
Rivlin	0.0496688
Goodman	0.0496443
Salomon	0.0495934
Pearson	0.0494824
Wasserstein	0.0494818
Helms	0.0494672
Cleary	0.049394
Muller	0.0493638
Ferguson	0.0493123
Tuttle	0.0492276
Danforth	0.0492248
LaBella	0.0491761
Wolfson	0.0491615
Jennings	0.0491464
Flores	0.0489705
Giles	0.0489549
"Edmund Morris"	0.0489073
Witt	0.0489004
Napolitano	0.0488898
wheeler	0.0488621
Dwyer	0.048829
Gonzales	0.0488169
Lowry	0.0487606
Haynes	0.0486858
"Larry Flynt"	0.0485371
Hamlin	0.0485212
Fleming	0.0484812
Jensen	0.0483835
bock	0.0483426
Gottlieb	0.0483047
Kaplan	0.0481497
Boardman	0.0480842
Klein	0.048053
Mohamed	0.048012
Gomez	0.0478868
Kern	0.047855
Baum	0.0478147
Shanahan	0.0478004
McGovern	0.0477495
Zou	0.0477375
Sullivan	0.0477013
Calloway	0.0476984
Ingram	0.047682
Walton	0.04759
Patton	0.0475851
Garzon	0.0474894
))
(abrasion (desc 4181.95) (sims
laceration	0.299472
bruise	0.257114
contusion	0.221698
welt	0.1699
scrape	0.161239
scar	0.15048
Gash	0.146944
fracture	0.138388
"black eye"	0.128906
bandage	0.11665
sore	0.115321
sprain	0.114006
abscess	0.105395
blister	0.103008
swelling	0.0955866
concussion	0.0952222
scab	0.0946723
ulcer	0.0877695
"neck brace"	0.0858781
pelvis	0.0854159
whiplash	0.0848541
lesion	0.0847541
discoloration	0.0846574
stitch	0.0828534
inhalation	0.0808746
wart	0.0807892
"ice pack"	0.0807568
rib	0.079241
"leg bone"	0.0775429
frostbite	0.0769483
trauma	0.0754128
stubble	0.074687
hemorrhage	0.073954
pimple	0.0733596
"asthma attack"	0.0730947
"eye socket"	0.0709655
splint	0.0694418
tattoo	0.0677024
blemish	0.0670436
"wear and tear"	0.0662913
nosebleed	0.066163
stomachache	0.0653444
"engine failure"	0.0641858
"back pain"	0.063516
sunburn	0.0630666
malformation	0.0620728
deformity	0.0617369
forefinger	0.0612422
sternum	0.0609311
"ring finger"	0.0609279
impairment	0.0601662
ache	0.0596721
breakage	0.0596328
lump	0.0594733
suffocation	0.058343
soreness	0.0579818
band-aid	0.0579538
collarbone	0.057575
freckle	0.0568287
deformation	0.0566759
"goose bumps"	0.0563818
abnormality	0.0557916
"heat exhaustion"	0.055673
inflammation	0.0553734
bandana	0.054513
"emotional distress"	0.0543791
incision	0.0542679
"sore throat"	0.0539479
"electric shock"	0.0535118
"chest pain"	0.0531087
femur	0.0529995
hypothermia	0.0527741
Tooth	0.0527235
skull	0.0525481
"wage freeze"	0.0523411
acne	0.0522623
"skin rash"	0.0521831
lotion	0.0519652
"cash crunch"	0.0516972
smudge	0.0516935
vertebra	0.0515889
irritation	0.0513554
dislocation	0.0512805
dehydration	0.0509912
presure	0.0509308
"memory loss"	0.0504675
Stinger	0.0503965
hernia	0.0503056
buttock	0.049992
mole	0.0499736
ailment	0.0496152
lung	0.0493196
indentation	0.0492145
rash	0.0484529
hiccup	0.0484306
jaundice	0.047792
cheekbone	0.0475563
kneecap	0.0474912
vertebrae	0.0473936
revers	0.0473478
"nervous breakdown"	0.0468013
flopping	0.0467974
limb	0.0466081
gangrene	0.0464609
disfigurement	0.0459848
coughing	0.045892
mishap	0.0458035
diarrhea	0.0457329
purifier	0.0454435
sickness	0.0454325
facial	0.0453366
hangover	0.045019
"skin disease"	0.0449999
discomfort	0.0449705
imperfection	0.0445755
bends	0.0445586
cramp	0.0444875
reflux	0.0441841
"financial loss"	0.0439989
tremor	0.0437932
fibula	0.0437084
marking	0.0432448
constipation	0.0432079
abdomen	0.0427396
"heart failure"	0.0426174
"little finger"	0.0425959
MRI	0.0420024
"liquidity problem"	0.0419654
washout	0.0418921
bronchitis	0.041827
gunk	0.0412925
eyelid	0.0411919
anemia	0.0411606
menstruation	0.0411043
tendon	0.040766
ligament	0.0406971
postmark	0.0405968
cervix	0.0404448
"oil slick"	0.0404204
"surgical procedure"	0.0404045
))
(abrasive (desc 1311.07) (sims
"electric current"	0.0766414
elastic	0.0692407
Centipede	0.0604202
driftwood	0.0587153
"plate glass"	0.0587056
"inferiority complex"	0.057135
tranquilizer	0.0568079
detergent	0.0551274
adhesive	0.0549753
Thibault	0.0542584
"nitrogen dioxide"	0.0541406
nozzle	0.0539986
turbot	0.0525331
potentate	0.0520348
"bathroom fixture"	0.0514958
methanol	0.051072
hunker	0.0499226
nearsightedness	0.047065
CFCs	0.0465507
sedation	0.0461195
"software system"	0.0460645
earpiece	0.0459688
grout	0.0458017
user-friendly	0.0452012
"hard drug"	0.0450246
"insect repellent"	0.0448612
sedative	0.0447291
hydrocarbon	0.0443868
aphrodisiac	0.044215
impurity	0.0442097
diode	0.0439679
enamel	0.0434884
"nitrous oxide"	0.0434576
schematic	0.0430142
Uri	0.0429795
sandpaper	0.0428778
"household appliance"	0.0427137
endoscope	0.0425038
"attack aircraft"	0.0424813
lactose	0.0424289
"wine bottle"	0.0423492
"oil paint"	0.0423136
Coolio	0.0422066
tonsil	0.0421139
grating	0.0421085
"electric fan"	0.0420384
"account statement"	0.0418186
hypothermia	0.0417289
"electric shock"	0.0416072
chlorine	0.0414975
Everyman	0.0413237
Cheddar	0.0412979
bemusement	0.0411915
"four-letter word"	0.0411306
avocation	0.0408567
whiplash	0.0406162
Zing	0.0404379
metalwork	0.040121
eyesore	0.0400673
))
(Abreu (desc 1139.9) (sims
Rolen	0.320815
"Mark Kotsay"	0.30178
Lankford	0.298796
Fullmer	0.275415
Aurilia	0.259533
Burnitz	0.255846
"Bobby Abreu"	0.254073
Renteria	0.250165
"Mike Lieberthal"	0.243783
"Marvin Benard"	0.242519
"Damian Jackson"	0.238201
"Geoff Jenkins"	0.232819
"Matt Lawton"	0.230958
"Eric Owens"	0.226368
Vidro	0.22562
"Damian Miller"	0.225209
"Scott Rolen"	0.22364
Cirillo	0.222962
"Mickey Morandini"	0.222246
"Mark Loretta"	0.219645
Alicea	0.216929
"Jose Guillen"	0.21423
"John Vander Wal"	0.211152
"Chris Widger"	0.205219
"Bill Mueller"	0.204272
Randa	0.203364
"Cliff Floyd"	0.202993
"Vladimir Guerrero"	0.202384
Bordick	0.19907
"Dave Martinez"	0.199011
"Orlando Palmeiro"	0.196791
"Luis Alicea"	0.196356
DeShields	0.195586
Agbayani	0.195575
Spiers	0.194504
"Preston Wilson"	0.193419
"Scott Spiezio"	0.192326
"Jose Valentin"	0.191673
"Brian Giles"	0.19089
"Cristian Guzman"	0.19005
"Adam Kennedy"	0.189718
"Jason Kendall"	0.189594
"Rondell White"	0.188695
Catalanotto	0.188343
Bautista	0.188119
Nevin	0.187039
Glaus	0.186973
"Doug Glanville"	0.186406
"Jay Payton"	0.185634
"Neifi Perez"	0.184861
"Ray Durham"	0.184277
Higginson	0.184239
Glanville	0.18374
Velarde	0.183559
"Dean Palmer"	0.18297
"Tony Batista"	0.182863
"Benny Agbayani"	0.182826
Dunston	0.18173
Vizquel	0.18122
"Quinton McCracken"	0.181155
"Kevin Young"	0.180829
"Carlos Lee"	0.180351
"Dave Hansen"	0.180269
"Fred McGriff"	0.179837
"Kelly Stinnett"	0.178784
"Todd Pratt"	0.177956
Lofton	0.177681
Batista	0.177599
"Ron Gant"	0.177452
"Tony Eusebio"	0.177357
Hollins	0.177025
"Troy Glaus"	0.175605
Alfonzo	0.175211
Furcal	0.174386
"Derrek Lee"	0.174032
"Jeff Cirillo"	0.172407
Sexson	0.171882
Giambi	0.171866
Gant	0.171772
Castilla	0.17133
"Enrique Wilson"	0.170995
"Bengie Molina"	0.170586
"Phil Nevin"	0.170009
"Todd Walker"	0.169968
"Joe Randa"	0.169751
"Eric Karros"	0.169514
Mabry	0.169431
"Damion Easley"	0.169296
"Matt Stairs"	0.169286
Elster	0.169212
McGriff	0.168684
Biggio	0.167999
Delgado	0.167793
Tejada	0.167544
"Ellis Burks"	0.16738
Hatteberg	0.167157
"Warren Morris"	0.166616
"Bobby Higginson"	0.166505
"Mike Cameron"	0.16629
Bergeron	0.16603
Palmeiro	0.165879
Thome	0.165858
Valentin	0.165797
"Luis Polonia"	0.165751
"Ruben Rivera"	0.165508
Ordonez	0.165397
"Reggie Sanders"	0.165181
"Russ Johnson"	0.165
Saenz	0.164887
"Jose Vidro"	0.164839
"Jeff Conine"	0.164825
"Mike Sweeney"	0.164623
"Eddie Taubensee"	0.163444
Konerko	0.162882
Canseco	0.162865
"Henry Rodriguez"	0.161899
"Jason Varitek"	0.161713
"Dmitri Young"	0.161444
"Richie Sexson"	0.161347
"Jeffrey Hammonds"	0.160343
Brosius	0.159329
"Alex Gonzalez"	0.159271
"Ricky Gutierrez"	0.158525
Ledee	0.158415
"Luis Gonzalez"	0.158353
Karros	0.158241
"Miguel Tejada"	0.157345
"Derek Bell"	0.156269
"J.T Snow"	0.15626
Beltran	0.155997
"Erubiel Durazo"	0.155667
"Rich Becker"	0.155299
"Pat Meares"	0.154988
"Jose Offerman"	0.15496
"David Bell"	0.154329
"Deivi Cruz"	0.154042
"Carlos Beltran"	0.153807
Klesko	0.153473
"John Mabry"	0.153191
"Stan Javier"	0.15306
Bragg	0.152993
"Dan Wilson"	0.152531
"Matt Franco"	0.152357
"Lance Berkman"	0.15204
"Tim Bogar"	0.151403
Brogna	0.151278
"Pat Burrell"	0.15043
"Ben Grieve"	0.150227
"Harold Baines"	0.150172
"Todd Zeile"	0.150061
"Benji Gil"	0.149925
Hidalgo	0.149342
Womack	0.149307
"Eric Chavez"	0.149276
"John Olerud"	0.149228
"Jason Giambi"	0.1492
"Ron Coomer"	0.149145
Bagwell	0.148875
Segui	0.148765
"Darren Lewis"	0.148697
"Mark McLemore"	0.14791
Olerud	0.147849
"Charlie Hayes"	0.147828
"Brad Fullmer"	0.147759
"Gerald Williams"	0.147484
"Todd Helton"	0.147425
Fryman	0.147287
"Randy Velarde"	0.14715
Tatis	0.147093
"Garret Anderson"	0.146764
"Mike Bordick"	0.145925
"Brian McRae"	0.145879
"Rich Aurilia"	0.145858
"Tino Martinez"	0.145331
"Miguel Cairo"	0.144994
"Mike Lowell"	0.144935
"Jim Thome"	0.144829
"Luis Castillo"	0.14467
Mondesi	0.144609
"Paul Konerko"	0.144496
"Mark Grace"	0.144234
"Danny Bautista"	0.144219
"Edgardo Alfonzo"	0.14369
Gilkey	0.14325
"Damon Buford"	0.143211
"Joe McEwing"	0.143081
Cedeno	0.142556
Burks	0.142345
"Chad Curtis"	0.142192
"Chris Gomez"	0.142061
Zeile	0.141891
"Jay Bell"	0.141653
Guzman	0.141639
"Kenny Lofton"	0.141629
Veras	0.141431
Alomar	0.141428
"Travis Lee"	0.141406
"Fernando Vina"	0.141382
"Juan Encarnacion"	0.141289
"Darin Erstad"	0.141199
"Will Clark"	0.140739
"Bernard Gilkey"	0.14058
"Jeremy Giambi"	0.140422
Surhoff	0.139742
"Brad Ausmus"	0.139723
"Javy Lopez"	0.139657
Sojo	0.139475
Lieberthal	0.139458
"Tim Salmon"	0.139358
Baines	0.139036
McLemore	0.138912
Ausmus	0.13888
"F.P Santangelo"	0.138443
"Richard Hidalgo"	0.138417
"B.J Surhoff"	0.138231
"Sandy Alomar"	0.138194
"Melvin Mora"	0.138084
"Andruw Jones"	0.137598
"Ozzie Guillen"	0.137552
"Kevin Jordan"	0.137315
"Fernando Tatis"	0.136813
"Glenallen Hill"	0.136685
"Tony Graffanino"	0.136616
"Craig Paquette"	0.136524
"Tony Womack"	0.136403
"Wil Cordero"	0.136389
"Robin Ventura"	0.13634
"Adrian Beltre"	0.136322
"Jim Edmonds"	0.13584
"Dante Bichette"	0.13573
Erstad	0.135617
Guillen	0.134838
"Ray Lankford"	0.134543
Huskey	0.134494
"Craig Counsell"	0.134278
"Barry Bonds"	0.134159
"J.D Drew"	0.133898
"Gary Sheffield"	0.133775
"Kirk Gibson"	0.133605
"Brady Anderson"	0.13342
"Brian Johnson"	0.133354
Hundley	0.133309
Varitek	0.133258
"Jermaine Dye"	0.133015
Taubensee	0.132916
Dellucci	0.132822
Knoblauch	0.132807
"Johnny Damon"	0.132624
Boone	0.13253
"Mike Lansing"	0.132495
"Ryan Klesko"	0.132344
"Desi Relaford"	0.132276
"Travis Fryman"	0.13207
"Kurt Abbott"	0.132054
"Shawn Green"	0.13183
"Marquis Grissom"	0.131775
"Edgar Renteria"	0.131398
Hollandsworth	0.131347
"Walt Weiss"	0.131299
Cordero	0.131165
"Sean Casey"	0.131149
"Bruce Aven"	0.130722
"Keith Lockhart"	0.130634
"Butch Huskey"	0.130624
"Lee Stevens"	0.130611
"Corey Koskie"	0.130593
Easley	0.130354
"Brian Hunter"	0.130353
"Manny Alexander"	0.130255
"Todd Hollandsworth"	0.13012
"Tony Clark"	0.130025
"Roger Cedeno"	0.129841
Larkin	0.129784
"Michael Tucker"	0.129499
Caminiti	0.12934
"Mike Lamb"	0.129317
"Otis Nixon"	0.129263
McRae	0.129208
"Tom Goodwin"	0.128974
"Jon Nunnally"	0.128808
"CARLOS HERNANDEZ"	0.128744
Sprague	0.128549
"Scott Brosius"	0.128511
"Carlos Delgado"	0.128469
"Rey Sanchez"	0.128437
"Jay Buhner"	0.127893
Beltre	0.127828
"Dave Hollins"	0.127685
"Ricky Ledee"	0.127658
"Bubba Trammell"	0.127463
"Herbert Perry"	0.127248
Leyritz	0.127126
"Manny Ramirez"	0.126579
"Raul Ibanez"	0.12607
"Royce Clayton"	0.12604
Stinnett	0.125597
"Jeff Bagwell"	0.125405
Trammell	0.1254
"Chad Kreuter"	0.125264
Offerman	0.125262
"Ed Sprague"	0.125175
Mora	0.124221
"Charles Johnson"	0.12418
"Andy Fox"	0.124041
"Jose Hernandez"	0.123657
"Paul Bako"	0.123567
"Eric Young"	0.123335
Garciaparra	0.123278
"Rickey Henderson"	0.123225
"Trot Nixon"	0.122915
Counsell	0.12227
"Rico Brogna"	0.12214
"Magglio Ordonez"	0.121973
Eusebio	0.121879
"Jeff Kent"	0.121638
Goodwin	0.121566
"Omar Vizquel"	0.121517
Grissom	0.121515
"Carl Everett"	0.121497
Daubach	0.12092
Grudzielanek	0.120607
"Brian Jordan"	0.120511
"Matt Williams"	0.120248
"Devon White"	0.120162
Merloni	0.119967
"Jeff Huson"	0.119474
"Todd Greene"	0.119454
"Darren Bragg"	0.119399
Walbeck	0.11913
"Jeff Frye"	0.119046
"Tony Phillips"	0.119039
"Barry Larkin"	0.118934
Lugo	0.118919
"Gabe Kapler"	0.118561
"Joe Girardi"	0.118533
"Brent Mayne"	0.118518
"Quilvio Veras"	0.118415
"Roberto Alomar"	0.117974
"Wally Joyner"	0.117651
"Bill Spiers"	0.117287
"John Valentin"	0.117099
"Raul Mondesi"	0.117088
"Jeromy Burnitz"	0.116709
"Kevin Stocker"	0.11669
"Ken Caminiti"	0.116557
"Greg Vaughn"	0.116438
"Karim Garcia"	0.116171
Lawton	0.116
Jeter	0.115837
"Jim Leyritz"	0.115645
"Terrence Long"	0.115597
"Shannon Stewart"	0.11558
Cabrera	0.115552
"Chuck Knoblauch"	0.115485
Bichette	0.115118
Galarraga	0.114788
"Derek Jeter"	0.114724
"Mike Stanley"	0.114664
Kapler	0.114573
"Trenidad Hubbard"	0.11438
"Chili Davis"	0.114122
"Chipper Jones"	0.113752
"Mike Benjamin"	0.113562
Guerrero	0.113362
"David Ortiz"	0.113281
"Delino DeShields"	0.112917
Greer	0.112891
Frye	0.1127
"Matt Luke"	0.112666
"Russ Davis"	0.11262
Helton	0.112569
"Jose Cruz Jr."	0.111743
"Aaron Boone"	0.111467
"David Dellucci"	0.111225
"Brant Brown"	0.110396
Baerga	0.110308
"Troy O'Leary"	0.110182
"Marty Cordova"	0.110145
Posada	0.110088
"Rusty Greer"	0.109699
"Todd Hundley"	0.109679
"Edgar Martinez"	0.109587
"Rafael Palmeiro"	0.109408
"Carlos Febles"	0.109287
"Alex Rodriguez"	0.109248
"Bernie Williams"	0.108884
"Lance Johnson"	0.108797
"Joey Cora"	0.108688
"Luis Lopez"	0.108653
"Einar Diaz"	0.108197
"John Jaha"	0.107389
"Craig Biggio"	0.10725
"Ivan Rodriguez"	0.107227
"Jorge Posada"	0.107028
Ramirez	0.107002
"Reggie Jefferson"	0.10659
"Darryl Hamilton"	0.106366
"Greg Colbrunn"	0.106205
"Pokey Reese"	0.106138
"Brian Daubach"	0.105513
"Frank Catalanotto"	0.105412
"Frank Thomas"	0.105402
"Mike Simms"	0.105328
"Sean Berry"	0.105175
Meares	0.104923
Alou	0.103957
"Juan Gonzalez"	0.103836
Burrell	0.103609
"Rob Ducey"	0.10343
"Lenny Harris"	0.103216
"Cecil Fielder"	0.103143
Sheffield	0.10278
"Bret Boone"	0.102727
Gutierrez	0.102573
"Lou Merloni"	0.102326
"Al Martin"	0.102291
"Gregg Zaun"	0.102276
"Jose Vizcaino"	0.101984
"Jeff King"	0.101629
"Bill Haselman"	0.100971
"David Segui"	0.100837
"Moises Alou"	0.100595
"Luis Sojo"	0.100573
"Brook Fordyce"	0.100248
))
(ABRI (desc 3747.64) (sims
TNI	0.266508
SANDF	0.163517
PNP	0.143773
"Russian Navy"	0.134602
IDF	0.130243
PLA	0.124454
UNAMET	0.114276
"Indonesian Military"	0.112852
IRGC	0.111279
UNTAET	0.109324
UPDF	0.108351
UNIFIL	0.107764
UNFICYP	0.105537
"South African National Defense Force"	0.103138
"Southern Command"	0.102721
KONI	0.0956283
"Northern Fleet"	0.094706
"Defense Agency"	0.0944764
IAF	0.0908675
PDI	0.0902528
FEMA	0.0887503
Hezb-i-Islami	0.0883847
"Yugoslav Army"	0.0874954
"Indonesian Armed Forces"	0.0871364
RUC	0.0870804
IFOR	0.0870371
MQM	0.086514
INTERFET	0.0847248
ICRC	0.0845511
"armed forces"	0.0828
SFOR	0.0827207
"Israel Defense Forces"	0.0822431
DP	0.0821977
UUP	0.0811728
MILF	0.0796236
"Real IRA"	0.0785694
HKMA	0.0784301
"Israeli Army"	0.0784023
Wada	0.0782909
BSF	0.0781104
UNHCR	0.0775321
KFOR	0.0772597
LRA	0.0770337
ELN	0.0763475
RUF	0.0762886
ECOMOG	0.0761219
UNRWA	0.0760909
Wiranto	0.0760074
"Air Force"	0.0752539
navy	0.0750482
UNAMSIL	0.0748923
gendarmerie	0.074129
INEC	0.073921
NSC	0.0734312
KPA	0.0732631
"Russian Space Agency"	0.0731592
CEC	0.0731454
VFW	0.0729817
"National Guard"	0.0729458
IEC	0.0722811
"Home Ministry"	0.0721705
LAPD	0.0711532
HCFA	0.0711173
KLA	0.0707339
OAU	0.0707149
KNU	0.0704238
ZCTU	0.0703123
"civil defense"	0.0702108
Golkar	0.0700694
OSCE	0.0695072
"Arab League"	0.0694414
"Coast guard"	0.0690523
Inkatha	0.068984
WFP	0.068928
MPAA	0.0687855
ARATS	0.0686718
BIA	0.0684672
UNCTAD	0.0684373
NDA	0.0684051
PNA	0.0682457
FARC	0.0678313
Amal	0.0675179
"National Police"	0.0674936
"U.S. Coast Guard"	0.0671708
"Israeli Foreign Ministry"	0.0668854
"Chinese government"	0.0666627
"British government"	0.0665109
MNLF	0.0664544
BLM	0.0664288
FSB	0.0664026
COSATU	0.0662097
UN	0.0661108
BOJ	0.0661
RCMP	0.0660751
UNMIK	0.0657361
WIPO	0.0653706
"Transportation Department"	0.0653362
UNITA	0.0653313
IAI	0.0650958
RAF	0.0649921
RPP	0.0648684
TAZARA	0.0647191
CBI	0.0646641
WNBF	0.0645072
SBA	0.0644922
SDB	0.0642529
RIAA	0.0638669
EBRD	0.0637456
GSS	0.0636309
RNC	0.0636277
UNEP	0.0635661
NRC	0.0635648
Pentagon	0.0633814
USAID	0.0631894
UNIDO	0.0631019
"Public Security Ministry"	0.0628986
Yabloko	0.0627742
"Israeli Defense Forces"	0.0626145
DEA	0.0622972
Garang	0.0622688
"Central Election Commission"	0.0622254
PLO	0.0621645
UNIP	0.0619793
PML	0.061918
"Bosnian Croat"	0.0619135
"Self-Defense Forces"	0.0618799
coastguard	0.061482
IAEA	0.0614649
MDC	0.0613139
GCC	0.0612388
CCB	0.061128
RCD	0.0611098
"Afghan Taliban"	0.0609109
NTSB	0.0608181
APA	0.0607347
Eximbank	0.0606601
mujahedeen	0.0606311
"Kenyan Government"	0.0605707
"task force"	0.0605389
RRA	0.0605264
Taleban	0.0603106
FAO	0.0602461
"Texas Department of Public Safety"	0.0602326
"Bank Negara"	0.0601363
GAM	0.0600769
NCEC	0.0600541
"Ulster Unionist"	0.0600517
"New York Police Department"	0.059921
USOC	0.0599003
OAS	0.0598755
"Liberation Army"	0.0598173
"Los Angeles Police Department"	0.0596483
LDP	0.059639
JMC	0.0595895
DAP	0.0595246
CPP	0.0595137
"New York City Police Department"	0.0594629
"Royal Canadian Mounted Police"	0.0594596
KDP	0.0592557
Bulog	0.0591757
"Department of Public Safety"	0.0590898
BNFL	0.059034
OIC	0.058649
ACOG	0.058649
ama	0.0586337
"Forest Service"	0.0586251
McGreevey	0.0582402
"Philippine National Police"	0.0581954
"border patrol"	0.0581821
"Clinton Administration"	0.0580491
ECA	0.0580379
"Royal Ulster Constabulary"	0.0577941
"Housing Authority"	0.057775
FA	0.0577287
"U. N."	0.0575297
"General Committee"	0.0574679
CMAG	0.0573419
"fire brigade"	0.057325
MTA	0.0571723
EPA	0.0570992
PUK	0.0569497
"Khmer Rouge"	0.0569452
ITU	0.0568488
"U.S. Forest Service"	0.0567502
SLA	0.056714
"North Atlantic Treaty Organization"	0.0566806
TDC	0.0566792
CAA	0.0566491
"Interior Ministry"	0.0566327
"Uganda People's Defense Forces"	0.0565092
"Civil Aviation Authority"	0.0564792
Fatah	0.0564452
"Immigration Department"	0.0561263
IEA	0.0560427
ILO	0.0560102
"Football Association"	0.0560043
NDF	0.0559247
UNP	0.0556914
FAA	0.055654
CSA	0.0555848
))
(abrogation (desc 1387.22) (sims
nullification	0.163287
abdication	0.134128
revocation	0.125729
annulment	0.117219
abolishment	0.104236
drafters	0.101714
renegotiation	0.100651
"Revised Version"	0.098533
scrapping	0.097226
promulgation	0.0947337
"Article @"	0.0938321
"Section @@"	0.0901701
trampling	0.0887658
undermining	0.0851867
contravention	0.0843011
applicability	0.0787554
abolition	0.0760202
finalization	0.0756576
de-escalation	0.0751635
denigration	0.0736211
drafting	0.0720946
"Article @@@"	0.0706379
"Section @"	0.0700767
perpetuation	0.0700131
repudiation	0.0697121
usurpation	0.068508
travesty	0.0675985
renunciation	0.0666561
"fundamental principle"	0.0663185
rewriting	0.0661889
deletion	0.0659666
fulfilment	0.065619
"three sections"	0.0653531
reminded	0.0647973
primacy	0.0641554
mockery	0.0635804
stipulation	0.063535
Reauthorization	0.0632732
loosening	0.0629397
guarantor	0.0620096
modification	0.0599322
validity	0.0598571
expiry	0.0581702
materialization	0.056588
framer	0.0562388
precept	0.0562009
rollback	0.0561174
imposition	0.0558129
diminution	0.0555852
reevaluation	0.0545302
reappraisal	0.0544145
reinterpretation	0.0542578
sanctity	0.054033
vagueness	0.053235
criminalization	0.0524483
"Article @@"	0.0519087
granting	0.051582
stripping	0.0515185
termination	0.0512798
elaboration	0.051059
reexamination	0.0501417
reestablishment	0.050049
delineation	0.0497839
deprivation	0.0495907
unraveling	0.0492813
exoneration	0.0488457
Constitutionality	0.0486314
reconsideration	0.0483499
continuance	0.0483138
naturalness	0.0477034
"hush money"	0.047373
"executive program"	0.0469973
"death benefit"	0.0464899
suppression	0.0462918
reiteration	0.0462667
broadening	0.0462657
paring	0.0462634
nicety	0.0460586
subversion	0.0459619
legalization	0.0449701
rubric	0.0448963
institutionalization	0.0444972
Cessation	0.044139
Helms-Burton	0.0435039
divestment	0.0431736
invocation	0.0427403
"solar eclipse"	0.0425563
backsliding	0.0422857
pillaging	0.0422725
dereliction	0.0421661
"artificial heart"	0.0419592
reinstatement	0.0418801
redefinition	0.0417813
self-censorship	0.0417438
popularization	0.0415454
restatement	0.0412667
appeasement	0.0409013
"second reading"	0.0408062
enumeration	0.0406644
perversion	0.0404067
))
("abrupt change" (desc 1867.82) (sims
"small change"	0.0856909
"change of direction"	0.0752391
softening	0.0737289
about-face	0.0686036
upturn	0.0665129
prong	0.0629545
oscillation	0.0606175
inkling	0.0590576
alteration	0.0551213
freefall	0.0538726
hardening	0.0520344
divergence	0.0520068
easing	0.0517561
fluctuation	0.0511528
uptick	0.0505798
"rate hike"	0.0503752
"price change"	0.0501646
overheating	0.0492991
vicissitude	0.0492374
reconfiguration	0.0482605
"price fluctuation"	0.0481714
sell-offs	0.0478739
linchpin	0.0475338
downtrend	0.0464853
dropoff	0.0464018
"rate rise"	0.0449366
overcapacity	0.044734
"American plan"	0.0446655
misreading	0.0444772
worsening	0.0442815
"metric ton"	0.0430749
drawdown	0.0422936
abnormality	0.0419394
"inferiority complex"	0.0416635
"cash crunch"	0.0415362
shakeup	0.0414575
Tightening	0.0413433
Intensification	0.0411547
upsurge	0.0411539
"object lesson"	0.0410479
"investor confidence"	0.0406874
"covert operation"	0.0406806
deportee	0.0404147
overconfidence	0.0402307
shakeout	0.040027
))
(ABS (desc 5263.77) (sims
"U.S. Census Bureau"	0.10692
ISTAT	0.102195
"power steering"	0.0993362
"Australian Bureau of Statistics"	0.0919416
"air bag"	0.0915026
Cs	0.0766928
brake	0.0765181
"automatic transmission"	0.0720495
SSB	0.0717564
"Statistics Canada"	0.0714279
midriff	0.069849
lastest	0.0696853
horsepower	0.067928
INEC	0.0677191
gearbox	0.0655394
"Pew Research Center"	0.0655355
"safety feature"	0.0651095
GPS	0.0634907
IEA	0.0632255
"Nielsen Media Research"	0.0615764
"Conference Board"	0.0614776
"State Statistics Bureau"	0.061391
changer	0.0606908
"Commerce Ministry"	0.0597841
"College Board"	0.0595936
"brake system"	0.0592603
"U.S. Commerce Department"	0.0590471
"Labor Ministry"	0.0587682
"Kaiser Family Foundation"	0.0586463
TDB	0.0584504
traction	0.0583764
Forrester	0.0583622
"National Bureau of Statistics"	0.058259
"American Petroleum Institute"	0.0581773
"Central Bureau of Statistics"	0.057897
"two hands"	0.0578803
Eurostat	0.0572237
"audio system"	0.0570576
tummy	0.0568886
"Airport Authority"	0.0565965
"Census Bureau"	0.0564884
"suspension system"	0.0561795
"Information Center"	0.0560974
pelvis	0.0557295
"seat belt"	0.0555325
"National Highway Traffic Safety Administration"	0.0554338
sunroof	0.0554133
"Bureau of Labor Statistics"	0.0552658
CPSC	0.0550884
"Urban Institute"	0.0550513
stereo	0.0549586
biceps	0.0543752
Dataquest	0.0543476
USDA	0.0540598
"Department of Commerce"	0.052972
Tankan	0.0523876
wiper	0.0522458
steering	0.0517709
FAO	0.051639
air-conditioning	0.0516277
ILO	0.0515178
"Census and Statistics Department"	0.0514509
"Central Election Commission"	0.0513644
ESCAP	0.051348
"National Research Council"	0.0511244
physique	0.0511044
"Ministry of Economy"	0.0507967
"National Association of Realtors"	0.050626
"Education Department"	0.0498657
triceps	0.0496579
"U.S. Agriculture Department"	0.0495612
cheekbone	0.0494572
"Jerusalem Media and Communication Center"	0.0491075
Zagat	0.0482567
"Hong Kong Tourist Association"	0.0482455
ventilation	0.0481752
torso	0.04789
"Presidential Office"	0.0478612
"Ministry of International Trade and Industry"	0.0478469
avionics	0.0477114
"State Statistical Bureau"	0.0474908
HKTA	0.0472823
"Bank of Israel"	0.0472241
"sound system"	0.047221
"Labor Department"	0.0470614
"steering wheel"	0.0469456
"Department of Education"	0.0466993
"Health and Welfare Ministry"	0.0464934
"Cliffs Notes"	0.0461794
"Congressional Budget Office"	0.0461496
"Health Ministry"	0.0460433
sensing	0.0454976
"Families USA"	0.0454787
AARP	0.0452585
"Harvard School of Public Health"	0.0452264
heater	0.0451482
"Department of Trade and Industry"	0.0450317
"Department of Labor"	0.0449581
"Ministry of Planning"	0.0446847
headboard	0.0446109
explosiveness	0.0445876
"World Tourism Organization"	0.0445577
buttock	0.0442418
"inventory control"	0.044193
"Asahi Shimbun"	0.04419
mem	0.0439489
"windshield wiper"	0.0439409
"World Health Organization"	0.0437652
"International Criminal Tribunal for Rwanda"	0.0437613
"more than six"	0.043643
groin	0.0435859
Singson	0.0430415
API	0.0429217
stamina	0.0428559
headlight	0.0428505
"Nihon Keizai"	0.0427016
"Commerce Department"	0.0426424
Lundberg	0.0426225
Zogby	0.0425849
instrumentation	0.0425581
fallback	0.0425555
"Health Department"	0.0424805
"Agriculture Ministry"	0.0424752
MTI	0.0424628
"cruise control"	0.0424192
"National Electoral Commission of Nigeria"	0.0421269
"Yomiuri Shimbun"	0.0421063
CBO	0.041796
"Transparency International"	0.0417383
"American Cancer Society"	0.0417324
"Labor office"	0.0416643
"bucket seat"	0.0414914
mileage	0.0414572
"Straits Times"	0.0411146
harder	0.0409241
ABS-CBN	0.0408929
forearm	0.0408819
coaster	0.0406774
"control system"	0.0405216
"Urban League"	0.0404887
USB	0.0404419
"electric motor"	0.0403943
"Freddie Mac"	0.0403937
E-ZPass	0.0402024
"Central Bank of Kenya"	0.0401998
thyroid	0.040195
))
(ABS-CBN (desc 1391.74) (sims
NTV	0.303104
ORT	0.288445
CTV	0.238143
NHK	0.237984
iTV	0.192879
RCN	0.188143
"Business Times"	0.18049
Televisa	0.172681
"Nihon Keizai"	0.158415
Sowetan	0.15333
"Business Day"	0.151412
"Daily Times"	0.148494
"New Nigerian"	0.148474
"El Pais"	0.14632
CNBC	0.14607
"Nihon Keizai Shimbun"	0.14204
"Animal Planet"	0.140575
WAM	0.140517
MTI	0.139453
Univision	0.138479
Spiegel	0.134163
Hurriyet	0.133681
ZDTV	0.133221
"Vietnam News"	0.133021
SB	0.132451
Antara	0.130931
BS	0.126401
"El Mundo"	0.126011
Velayati	0.125531
"Financial Mail"	0.125437
"United Press International"	0.125039
"Straits Times"	0.12368
"Daily Nation"	0.122096
"Indonesian Observer"	0.121265
Yastrzhembsky	0.120316
PAX	0.120128
"The Monitor"	0.119252
"Kyodo News Service"	0.118709
Noticias	0.118533
"Kathmandu Post"	0.117822
Notimex	0.117657
"Ghana News Agency"	0.117532
TC	0.117037
PTI	0.116658
"Channel @"	0.116529
"Agence France Presse"	0.116044
"Kenya Times"	0.115649
Telemundo	0.115503
"Saudi Press Agency"	0.115378
QVC	0.115076
"Moscow Times"	0.114883
RSS	0.114801
Rai	0.114612
"East African Standard"	0.114458
Kyodo	0.113919
Tass	0.113754
"Der Spiegel"	0.112203
"Egyptian Gazette"	0.112195
Politika	0.111256
"Tehran Times"	0.110808
"Post Express"	0.108902
"Iran News"	0.106722
Inquirer	0.106215
Ansa	0.106024
Al-Ahram	0.105896
"Kyodo News"	0.105766
Anatolia	0.105424
Maariv	0.104577
"Khaleej Times"	0.104162
Lusa	0.103714
Mega	0.102789
Tanjug	0.102534
"New Straits Times"	0.102282
Itogi	0.100882
Haaretz	0.100352
"Southern African Broadcasting Association"	0.100322
"Ethiopian Herald"	0.100236
"Philippine News Agency"	0.0999766
"The New Vision"	0.0987825
"Sky TV"	0.09877
"New Vision"	0.0982965
Salam	0.0982774
"Bangkok Post"	0.0982542
"Al Ahram"	0.096756
"South China Morning Post"	0.0966507
"Daily Star"	0.0965853
"closed circuit"	0.0964961
"Jerusalem Post"	0.0964375
"National Association of Realtors"	0.0960986
IRNA	0.0953008
Cui	0.0951097
"Thai News Agency"	0.0938868
"Radio Uganda"	0.0935104
Asahi	0.0932631
"Egyptian Middle East News Agency"	0.0932575
"Zambia News Agency"	0.0932515
Bernama	0.0929419
MENA	0.0929402
KPL	0.0929354
"National Post"	0.0928059
"Sydney Morning Herald"	0.0919618
C-Span	0.0917986
Tsang	0.0917907
"Gulf News"	0.0914897
"Korean Central News Agency"	0.091247
MSNBC	0.0911674
"Statistics Canada"	0.0908899
"Canal Plus"	0.0906559
"Cable News Network"	0.0904037
"Alam Al Yom"	0.0901023
"British Broadcasting Corp."	0.0899273
Singson	0.0898366
Malaya	0.089796
"Cyprus News Agency"	0.0896208
"Kuwait News Agency"	0.0895275
"Turkish Daily News"	0.0893187
"weather forecaster"	0.088861
"China Daily Business Weekly"	0.0885522
CNA	0.0885233
Dar	0.0877537
Rong	0.087542
BSKyB	0.0874752
"Macao Daily News"	0.0873189
"U.S. Labor Department"	0.0872763
"Seattle Times"	0.0872677
"home builder"	0.0869804
clicker	0.0858451
Angop	0.085156
Zhong	0.0851161
"Jordan Times"	0.0851107
"Beijing Daily"	0.0841972
Sheng	0.0840992
"Guangming Daily"	0.0840874
Reuters	0.0839519
Jana	0.0839266
VH-@	0.0838847
beta	0.0835754
"Washington Times"	0.0835251
hodgson	0.0832842
"Zambia Daily Mail"	0.0831227
SSB	0.0829858
"Yediot Ahronot"	0.0828703
ISTAT	0.082671
"China Youth Daily"	0.0826399
ATA	0.0824993
"Jakarta Post"	0.0819368
"wire service"	0.0819005
"Boston Herald"	0.081761
al-Hayat	0.08164
"Rwanda News Agency"	0.0809822
CBC	0.0809625
"East African"	0.0809563
"Information Center"	0.0805788
APA	0.0805785
"Vietnam News Agency"	0.080548
"Asahi Shimbun"	0.0803702
"Wenhui Daily"	0.0803577
Sheehan	0.0803345
weatherman	0.0796474
"Zimbabwe News Agency"	0.0788977
Feng	0.0784807
newsmagazine	0.0784093
"Business Weekly"	0.078135
"British Broadcasting Corporation"	0.0779843
"press agency"	0.0779068
Reforma	0.0778197
WGN	0.0774968
"Al Hayat"	0.0774779
SAPA	0.0770513
"Ethiopian News Agency"	0.0770119
"Le Monde"	0.0758757
FX	0.0757539
"Australian Associated Press"	0.0753377
Petra	0.0750684
Bloomberg	0.0750264
BBC	0.0749597
"Israel Radio"	0.0748513
"Detroit News"	0.0746437
"Dow Jones Newswires"	0.0744446
"Labor office"	0.0742969
"Financial Times"	0.074264
"Bank of Korea"	0.0741672
"planning board"	0.0741012
"Daily Mail"	0.0738572
"Yomiuri Shimbun"	0.0734172
Fleischer	0.0734154
"Associated Press of Pakistan"	0.0734035
AFP	0.0730743
"television news"	0.0724695
Kono	0.0722852
L'Equipe	0.0721941
API	0.0719465
VH@	0.0715259
"Agence France-Presse"	0.0714553
Akbar	0.0706733
"Nhan Dan"	0.070673
Granma	0.0705088
Yomiuri	0.0704389
"tax income"	0.0702818
JMCC	0.0702679
))
(ABSA (desc 981.194) (sims
SunTrust	0.104961
NiSource	0.10334
Sumitomo	0.102932
"Thai Farmers Bank"	0.0951746
HKTA	0.0947742
Menatep	0.0942575
CNOOC	0.0937486
"U.S. Defense Department"	0.0928474
"Times Co."	0.090913
"National Grid"	0.0904982
"British Foreign Office"	0.0895465
Deutsche	0.0889666
"Washington Mutual"	0.0888932
GEC	0.0873264
"reserve bank"	0.0872651
Cathay	0.0856449
"Sdn Bhd"	0.0845792
"building society"	0.0844955
Dresdner	0.084334
Starwood	0.0837009
"Credit Suisse"	0.0818579
"Bank of Canada"	0.0815495
"Real IRA"	0.0802479
Occidental	0.0794769
PLN	0.0779658
"Israeli Foreign Ministry"	0.0775473
KPA	0.0774143
Airways	0.0772525
NORTHROP	0.076647
"BellSouth Corp."	0.07595
McCaw	0.0752626
Vollebaek	0.0740621
CITIC	0.0736044
"ABN AMRO"	0.07324
USATF	0.0728578
"over six months"	0.0727854
Ahold	0.072754
"U.S. Agriculture Department"	0.0723659
Kimbell	0.0721089
"Societe Generale"	0.0720706
"Dresdner Bank"	0.0718426
"Deutsche Bank AG"	0.0718165
Kesri	0.0718101
Nepa	0.0715231
TELLABS	0.0709948
"Bank of Israel"	0.0707499
DKB	0.0706252
TDC	0.0703434
"Defense Agency"	0.0697797
UBS	0.0697433
Barclays	0.0694913
SAA	0.0693024
Scientific-Atlanta	0.0692125
ING	0.0691451
"Israeli Army"	0.0690134
Publicis	0.0688683
"national bank"	0.0684989
UAM	0.0684593
F.A	0.0682464
Badillo	0.0681395
"Carl Icahn"	0.067893
UAL	0.067867
"Sumitomo Bank"	0.0675802
UNP	0.067344
"Investors Service"	0.0666978
McCombs	0.0665685
Icahn	0.066457
"Renault SA"	0.0662747
Vulcan	0.066139
JAL	0.0660487
"Citigroup Inc."	0.0660094
RealNetworks	0.0657322
"Chase Manhattan Corp."	0.0655199
Lautenberg	0.0652184
Denel	0.0651998
Daimler	0.0649367
"Goldman Sachs Group"	0.0649332
AMR	0.0649274
Hasbro	0.064339
Eurotunnel	0.0643322
"finance company"	0.0641524
GPU	0.0639242
IDT	0.0636796
Aventis	0.0635608
"Chase Manhattan"	0.0635542
"merchant bank"	0.0630129
AutoNation	0.0629457
BP	0.0627785
Thyssen	0.0627415
Eskom	0.062551
CCB	0.0624895
"Reed Elsevier"	0.0623769
UCI	0.0623736
"Southern Co."	0.062109
MTA	0.0620717
"State Development Bank"	0.0620494
BOC	0.0619581
Gilead	0.0619533
"GE Capital"	0.061713
"British Petroleum"	0.0615443
Rylander	0.0615008
"Deutsche Bank"	0.0614417
Velayati	0.0612007
Kodak	0.0610485
RWE	0.0609904
"Agriculture Ministry"	0.06071
Schering	0.0607077
Commerzbank	0.0606907
Equifax	0.0606395
HSBC	0.0606281
"South African Airways"	0.0605764
SSB	0.0605345
"Iranian Foreign Ministry"	0.0604625
Daimler-Benz	0.0600688
USDA	0.0599436
Venter	0.05989
Telkom	0.059859
"Dai-Ichi Kangyo Bank"	0.0598407
CAA	0.0596882
"Reserve Bank of Australia"	0.0595886
"Hearst Corporation"	0.059555
Dasa	0.0594876
Bae	0.0594017
Massport	0.0593803
TYCO	0.0593424
SFC	0.0592366
WELLPOINT	0.0592007
"investment house"	0.0591635
Petrofina	0.0590551
Rong	0.0590227
Litton	0.0589598
Corning	0.058909
NatWest	0.058858
Histadrut	0.0587788
WEF	0.0587742
NCEC	0.0587397
"De Beers"	0.0586873
McKesson	0.0586676
thrift	0.0585464
Kato	0.0585273
"auto company"	0.0584362
FSA	0.0583778
"Agricultural Bank of China"	0.0583723
ITF	0.0583086
"Public Security Ministry"	0.0582121
IAI	0.0581991
"Airport Authority"	0.0580652
EC	0.0580052
TAZARA	0.0578501
PLDT	0.057781
"First Union"	0.0577149
Stronach	0.0575215
NCI	0.0572817
"San Francisco Museum of Modern Art"	0.0571866
CBK	0.0571493
Zuckerman	0.0571395
HCFA	0.0570995
REPSOL	0.0570987
"Bank of Japan"	0.0569845
"Bank of Thailand"	0.0568157
"French Foreign Ministry"	0.0567665
"Fleet Financial Group"	0.0567659
"Thermo Electron"	0.056685
"Wells Fargo"	0.0566652
INC	0.0565343
Warnaco	0.0564873
"SBC Communications Inc."	0.0563988
Nomura	0.0563804
"Ethics Commission"	0.0563264
"credit union"	0.0563189
Aeroflot	0.0563073
Kornberg	0.0562302
"U.S. State Department"	0.055986
Seagate	0.0558478
Lowey	0.0557972
ANZ	0.0557904
SDB	0.0556121
GANNETT	0.0554705
"Home Ministry"	0.0554683
"Turkish Foreign Ministry"	0.0553564
baring	0.0553331
AIG	0.0553136
Wada	0.0551891
"State Administration of Foreign Exchange"	0.0549635
"Reserve Bank of India"	0.0548335
Aegon	0.0547567
"transit authority"	0.0546569
"U.S. Commerce Department"	0.0545841
Vasile	0.054511
"USA Basketball"	0.0544914
Nikko	0.0543718
SNCF	0.0541541
EOHR	0.0541379
"Chevron Corp."	0.0541173
"National Thoroughbred Racing Association"	0.0540502
Belo	0.0540162
Hewlett	0.0540086
IRC	0.0538832
"Export-Import Bank"	0.0538492
"U.S. Fed"	0.053674
))
(abscess (desc 2278.49) (sims
lesion	0.177188
ulcer	0.163196
blister	0.147124
"blood clot"	0.145513
inflammation	0.139767
swelling	0.136124
stomachache	0.131348
contusion	0.11989
Gash	0.117944
gangrene	0.117161
bruise	0.114292
aneurysm	0.114209
cramp	0.11062
ailment	0.108318
hemorrhage	0.106452
abrasion	0.105395
deformity	0.104474
clot	0.100752
"upset stomach"	0.0995239
cyst	0.0959005
"kidney disease"	0.0953982
discoloration	0.0953327
diarrhoea	0.0950266
"liver disease"	0.094161
abnormality	0.0920789
diarrhea	0.0914409
nearsightedness	0.0906861
irritation	0.0897539
bronchitis	0.0889237
sore	0.0888708
ache	0.0883209
emphysema	0.0850325
tumor	0.0843109
cirrhosis	0.0842467
hypertension	0.0833492
arrhythmia	0.0831107
malformation	0.0816567
"asthma attack"	0.0812741
"respiratory disease"	0.0810458
frostbite	0.0809498
"kidney stone"	0.0808937
pneumonia	0.0797968
laceration	0.0796966
numbness	0.0793568
dehydration	0.0787721
"neurological disease"	0.0778138
"skin rash"	0.0774632
anemia	0.0765044
"heart failure"	0.0763331
reflux	0.0759774
"cash crunch"	0.074677
encephalitis	0.0746548
constipation	0.0745024
Meningitis	0.0742228
amputation	0.0737985
gastroenteritis	0.0736984
malady	0.0728183
"sore throat"	0.0725523
"mental disorder"	0.0714852
epilepsy	0.0711544
"Lyme disease"	0.0707803
allergy	0.070365
arthritis	0.0703296
scab	0.0700145
"high blood pressure"	0.0699597
"heat exhaustion"	0.0695023
rash	0.0690008
"congestive heart failure"	0.0682644
"chest pain"	0.0670099
cough	0.0664924
"anxiety disorder"	0.066033
"heart condition"	0.0660148
"common cold"	0.0653856
cataract	0.0651547
sinus	0.0640846
"liquidity problem"	0.0639127
dementia	0.0637072
splint	0.0632928
"heart disease"	0.0632916
asthma	0.0630925
"multiple sclerosis"	0.0630069
angina	0.0625855
hernia	0.0622559
tendinitis	0.0617983
myopia	0.0617332
indigestion	0.0600536
nosebleed	0.059601
hepatitis	0.0594321
gland	0.059206
atherosclerosis	0.0590587
impairment	0.0590415
diabetes	0.0589216
"cardiovascular disease"	0.0588719
malfunction	0.0587163
"genetic disease"	0.0586026
acne	0.0585202
"personality disorder"	0.0582712
nausea	0.0581263
"goose bumps"	0.0574573
palpitation	0.0573953
sunburn	0.0569648
soreness	0.0569356
gonorrhea	0.0557324
"cancer death"	0.0555985
Osteoporosis	0.0555356
"back pain"	0.055257
"blood vessel"	0.0550014
imbalance	0.054955
"neurological disorder"	0.0545166
"morning sickness"	0.0544205
Psychosis	0.0544106
thyroid	0.0543287
serotonin	0.0536389
jaundice	0.0533104
hypothermia	0.0532114
apnea	0.0531844
stiffness	0.0530255
artery	0.0525653
"memory loss"	0.0524072
"nervous breakdown"	0.0520973
deafness	0.051837
carcinoma	0.0516338
Dysentery	0.0515849
"Parkinson's disease"	0.05153
autism	0.051296
dizziness	0.0508686
scraping	0.0503471
tuberculosis	0.0503232
migraine	0.0502613
"eye disease"	0.0502315
miscarriage	0.0501322
shortness	0.0501303
malnutrition	0.0500397
"food poisoning"	0.0498599
fetish	0.0496874
osteoarthritis	0.0492797
blockage	0.0491513
retardation	0.0491423
"moral hazard"	0.0488444
"yellow fever"	0.0486764
testicle	0.0485695
"oil slick"	0.0485552
"malignant tumor"	0.0485166
shortsightedness	0.0484016
"venereal disease"	0.0483849
nodule	0.0483408
flexor	0.0481569
"lung cancer"	0.0479484
"traffic jam"	0.0478636
mole	0.0476838
"brain tumor"	0.0476571
typhoid	0.0475737
degeneration	0.0474852
fibula	0.047485
tendon	0.0474276
"crop failure"	0.0473559
"skin disease"	0.0471797
side-effects	0.0469795
whiplash	0.0468989
"bipolar disorder"	0.0468242
schizophrenia	0.0466575
incision	0.0464473
"cold spell"	0.0463888
Alzheimer	0.0463797
insomnia	0.0463093
deformation	0.0462727
"wear and tear"	0.0460814
"lymph node"	0.0458357
"bullet hole"	0.0454605
twinge	0.045455
influenza	0.0453418
"rheumatoid arthritis"	0.045328
bifida	0.0449998
welt	0.0448464
biopsy	0.0446769
paralysis	0.0443111
misspelling	0.0442847
dimple	0.0441588
vomiting	0.0436495
"blood pressure"	0.0435532
"inferiority complex"	0.0432499
curvature	0.0432114
enhancer	0.0431132
"cancer cell"	0.0431067
postmark	0.0430245
bladder	0.042991
heatwave	0.0426991
toxicity	0.0424852
spleen	0.0424416
disorientation	0.0424405
"acquired immune deficiency syndrome"	0.0423842
malignancy	0.0423732
prosthesis	0.0423553
heartburn	0.0421687
"emotional distress"	0.041934
draught	0.041447
Steinway	0.0414434
psoriasis	0.0413779
bandana	0.0413115
unconsciousness	0.0413024
))
(absence (desc 105181) (sims
lack	0.175767
suspension	0.113424
inability	0.112908
hiatus	0.112674
presence	0.110507
failure	0.109513
injury	0.103046
layoff	0.101782
departure	0.100449
fact	0.0997174
delay	0.0982844
shortage	0.0941475
loss	0.0931658
dearth	0.0920499
weakness	0.0888544
refusal	0.0887907
slowdown	0.0861809
decline	0.0850599
rejection	0.0843503
reluctance	0.0819415
scarcity	0.081849
difficulty	0.081801
slump	0.0796428
breakdown	0.0786017
drought	0.078597
result	0.0785532
emergence	0.0782173
decision	0.0777492
problem	0.0773522
availability	0.0765923
downturn	0.0760233
action	0.0760141
surge	0.0757444
postponement	0.075658
retirement	0.0756568
closure	0.0749997
disappearance	0.0747199
defection	0.0746488
lapse	0.0745294
incident	0.0744796
change	0.0743983
performance	0.074395
announcement	0.0740261
turmoil	0.0737745
illness	0.0735132
uncertainty	0.073493
situation	0.0733726
crisis	0.073197
collapse	0.0728895
exclusion	0.072877
influx	0.0727063
"economic crisis"	0.0726662
reaction	0.07236
impact	0.072231
kind	0.0720989
violation	0.0718115
Death	0.0717604
shutdown	0.0715875
remark	0.0715794
behavior	0.0715352
comment	0.0714426
withdrawal	0.0712796
number	0.0712782
role	0.0711772
instability	0.0708839
ability	0.0706195
case	0.0705194
cancellation	0.0704488
condition	0.0702076
return	0.0701945
ban	0.0696503
rise	0.0693886
shortcoming	0.06935
success	0.0691811
shift	0.0684594
flaw	0.068246
deterioration	0.0681799
appearance	0.0680743
omission	0.0678395
timing	0.0677623
weather	0.0677474
nature	0.0673737
effect	0.0670907
criticism	0.0670008
existence	0.0669621
resignation	0.0669382
quality	0.0668609
strength	0.0667969
volatility	0.0667003
paucity	0.0665535
inconsistency	0.066528
woe	0.0664686
"bad weather"	0.0663195
conflict	0.0662274
inexperience	0.0660825
fear	0.06592
scandal	0.065785
statement	0.0656903
ignorance	0.0656298
break	0.0655763
arrival	0.0655596
status	0.0655438
spate	0.0654207
possibility	0.0653887
trouble	0.0653776
unwillingness	0.0653214
mismanagement	0.0650869
walkout	0.0649947
Dismissal	0.0649543
removal	0.064947
attitude	0.0646413
prospect	0.0645291
trend	0.0644606
mistake	0.0641252
recession	0.0637425
perception	0.0636001
sense	0.0635489
demise	0.0633902
development	0.063384
difference	0.0632975
popularity	0.0632844
factor	0.0631618
disruption	0.0630804
term	0.0630464
expansion	0.0629689
arrest	0.062925
demand	0.0626561
error	0.0624434
continuation	0.0624361
stress	0.0623858
devaluation	0.0623125
combination	0.0622445
neglect	0.0622435
response	0.0620511
spell	0.0620105
increase	0.061799
effort	0.0617851
violence	0.061742
reversal	0.0615933
this	0.0614412
stalemate	0.0614239
silence	0.061312
erosion	0.0612501
elimination	0.0612437
practice	0.0609742
attack	0.0609739
abuse	0.0609459
shortfall	0.060878
aspect	0.0608223
disparity	0.0607913
fallout	0.0607311
conduct	0.0607293
ruling	0.0606767
attempt	0.0605679
willingness	0.0604461
isolation	0.0603845
hardship	0.0603059
insistence	0.0602963
defeat	0.0602654
policy	0.0601658
slide	0.059971
desire	0.0598546
consequence	0.0597189
support	0.0596049
showing	0.0594735
inaction	0.0594479
glitch	0.0593296
detention	0.0592219
treatment	0.0591274
confusion	0.0591085
pressure	0.0590575
tendency	0.059023
phenomenon	0.0590102
complexity	0.0588697
accident	0.058818
flood	0.0587245
cost	0.0585002
importance	0.0584971
bombing	0.0584898
disclosure	0.0584277
strike	0.0584081
deficiency	0.0584079
introduction	0.0583831
reduction	0.0583771
improvement	0.0583491
amount	0.0582982
freeze	0.0582927
recovery	0.0582916
deadlock	0.0582554
progress	0.05816
"oil price"	0.0580489
resurgence	0.058044
depreciation	0.05802
"rapid growth"	0.0579939
pursuit	0.0578992
setback	0.0578967
likelihood	0.0578451
history	0.0577895
fatigue	0.0577713
interruption	0.0576745
))
(absentee (desc 4680.56) (sims
DEADBEAT	0.100718
"absentee ballot"	0.091065
write-in	0.0906672
no-show	0.0745123
Heisman	0.069139
omission	0.0666348
Italian-American	0.0642801
Chinese-American	0.0638803
first-time	0.0625981
"Republican House"	0.0613538
Asian-American	0.059796
Downstate	0.0575346
"Israeli Arab"	0.056813
Ibo	0.0566094
"African American"	0.0564826
crossover	0.0560676
"agenda item"	0.0558461
"Democratic Revolution"	0.0556768
firsts	0.0552227
"Christian Democrat"	0.0551976
non-Jewish	0.0547797
Sephardic	0.054243
Cuban-American	0.0540459
yea	0.0539412
UDF	0.0537186
"Heisman Trophy"	0.0536838
Latvian	0.0519657
"Cy Young"	0.0519263
Irish-American	0.0519224
Arizonan	0.051767
laggard	0.0506889
holdover	0.0498815
"Puerto Rican"	0.0496606
"electoral college"	0.0495673
wage-earner	0.0486923
quarterfinalists	0.0476657
cog	0.0472361
Anglo	0.0469536
underachiever	0.0468769
emigre	0.0468614
"Orthodox Jewish"	0.046792
nay	0.0466172
WOODWARD's	0.0461612
"break of serve"	0.0459187
variable	0.045136
"bank failure"	0.0450514
PPI	0.0449179
"right whale"	0.0447878
"Eclipse Award"	0.0446244
"Monmouth County"	0.0445542
septuagenarian	0.0442802
"East Timorese"	0.0438661
ALEXANDER's	0.0431992
"church member"	0.0428681
major-leaguers	0.0425344
AHA	0.0422716
"Asian American"	0.0422636
escapee	0.0419763
honoree	0.041909
Latina	0.0413595
midterm	0.041321
"National Action"	0.0412465
"Cy Young Award"	0.0411415
weatherman	0.041072
Maltese	0.041065
Gonzales	0.0410347
"New York Republicans"	0.0408598
stinker	0.0404835
"Irish Catholic"	0.0403524
"Ulster Unionist"	0.0401619
Tory	0.0400974
"black person"	0.0400923
))
("absentee ballot" (desc 3090.7) (sims
ballot	0.121276
"Iranian POWs"	0.0967272
absentee	0.091065
"order form"	0.0886615
enumerators	0.0834842
"test data"	0.0806999
"Iraqi POWs"	0.0761633
"ballot box"	0.0746691
registrant	0.0746486
"application form"	0.0738025
taxis	0.0723735
evacuee	0.0713209
Honduran	0.0712994
deserter	0.0701805
"union worker"	0.0701374
kilometre	0.0690105
"Cuban Americans"	0.0670129
"tax form"	0.0669417
enlistee	0.0665486
Navajos	0.0648456
"Sri Lankans"	0.0639412
emigrant	0.0635118
VMs	0.063194
reservist	0.0623468
sq.km	0.0619462
"temporary worker"	0.0619159
Beijingers	0.0618502
Bosnians	0.0617538
metical	0.0614011
Ukrainians	0.0613389
Salvadoran	0.0610216
"census taker"	0.0605621
Mozambican	0.0605442
illegals	0.0603898
Vermonter	0.0602662
elector	0.0602359
Arizonan	0.0602302
"polling place"	0.0602191
laid-offs	0.0596769
naturalization	0.0592315
job-seekers	0.0591918
"income tax return"	0.0591056
postcard	0.0583683
Paraguayan	0.0582101
"form letter"	0.0577682
Iowan	0.0575169
narrowest	0.0572223
Eritrean	0.0568702
proxy	0.0563887
questionnaire	0.0563485
ex-combatants	0.0558753
"heroin addict"	0.0558591
Ghanaians	0.0555891
Ecuadoreans	0.0553491
"East Timorese"	0.0550258
VND	0.0545663
Nicaraguan	0.0543049
Liberian	0.0542632
"South Carolinian"	0.0542028
ex-convicts	0.0541558
"polling booth"	0.0540725
mainlanders	0.0538993
"boarding pass"	0.0538092
"tax return"	0.0536235
"foster child"	0.0533732
"skilled worker"	0.0532993
"job cut"	0.0530752
Cuban-Americans	0.0526275
Bangladeshi	0.0525346
"job seeker"	0.0523533
"New Jerseyans"	0.0517925
"North Carolinian"	0.0516983
C-section	0.0516957
Meteor	0.0516291
farmworkers	0.0511619
easement	0.0510612
leper	0.0507544
worshipper	0.0503722
Georgian	0.0499778
"Hong Kong Open"	0.0499483
Cambodian	0.0499377
Burundian	0.0493647
Angolan	0.0492279
W-@	0.0491335
wellwisher	0.0491118
returnees	0.0490921
"union member"	0.0489358
"San Franciscans"	0.0486781
absolutes	0.0486755
meticais	0.0485531
aspersion	0.0485402
"displaced person"	0.0484363
Haitian	0.0484336
Cypriot	0.0483929
Tibetans	0.0482455
"sex act"	0.0482439
Japanese-Americans	0.0482099
iMacs	0.0478353
outpatient	0.0478274
Taiwanese	0.0476623
Zairean	0.0475684
pensioner	0.0475516
holidaymaker	0.047306
non-Muslims	0.0472741
reveler	0.0472163
Muscovite	0.0471427
postgraduate	0.0471004
Hutus	0.0470643
handbill	0.0470125
"department employee"	0.0469645
sandbag	0.0468767
enrollee	0.0468554
steelworker	0.0464409
atm	0.0462072
"return address"	0.0461531
adoptees	0.0460818
Athenian	0.0460342
herdsmen	0.0459903
feeler	0.0459761
sortie	0.0459269
motorcyclists	0.0457853
angler	0.0456648
Buicks	0.0454342
"electoral college"	0.0453857
Congolese	0.0453389
carjackings	0.0453257
"live birth"	0.0451424
"Christmas card"	0.0450274
midwife	0.0450055
"Medicare HMOs"	0.0449578
"admission fee"	0.0448485
hemophiliac	0.0446978
crossover	0.0445862
"season ticket"	0.0443819
sufferer	0.0442955
"promotional material"	0.0441817
"passenger car"	0.044112
Floridian	0.0438906
"raw data"	0.0438165
Chinese-Indonesians	0.0437141
asylum-seekers	0.0436598
deportee	0.0436309
claimant	0.0435651
diskette	0.0432491
concertgoers	0.0432486
"loan application"	0.0430165
dropout	0.04271
"AIDS patient"	0.0427051
"dock worker"	0.042699
businesspeople	0.0426881
"warning signal"	0.0426807
invoice	0.0423616
documentation	0.0423408
VCs	0.0422219
bird-watchers	0.0421376
"loose end"	0.0421264
"work permit"	0.0420451
sq	0.0420191
"summary judgment"	0.0419865
inhibition	0.0419842
"job offer"	0.0418539
"coal miner"	0.0417823
"two million yuan"	0.0417453
USD	0.0416496
"Sierra Leonean"	0.0415106
snowbird	0.0415001
"sacred cow"	0.0414322
commutation	0.0414153
umpiring	0.041354
"drug addict"	0.0412811
campsites	0.0412621
"Albanian Kosovars"	0.0412565
dwt	0.0411319
"American plan"	0.0411157
ISPs	0.0410817
"market watcher"	0.0410291
geese	0.0410176
sportswriters	0.0409798
"time off"	0.0408946
"written agreement"	0.0408703
autoworkers	0.0408627
"Kosovar Albanians"	0.040837
mini-buses	0.040802
"sea bird"	0.0407643
"home sale"	0.0406422
egret	0.0406316
"drug user"	0.0405728
marcher	0.0405441
"building permit"	0.0405332
Isringhausen	0.0405144
"Texas Democrats"	0.0404295
IOU	0.0404155
"trade area"	0.0403349
hectare	0.0402687
"National Sports Council"	0.0401735
Kosovars	0.0400593
))
(absenteeism (desc 3818.33) (sims
"cancer death"	0.131198
homeownership	0.128747
recidivism	0.123949
morbidity	0.112973
joblessness	0.11052
"marketing cost"	0.107007
"turnover rate"	0.103844
morale	0.102511
illiteracy	0.0975787
redundancy	0.0962724
enrolment	0.094181
malnutrition	0.0922814
jaundice	0.0916651
"juvenile delinquency"	0.0907681
"blood sugar"	0.0900231
delinquency	0.0871614
evaporation	0.087049
mortality	0.0863074
productivity	0.0858982
Burnout	0.0855288
"take-home pay"	0.0836472
caseloads	0.0831706
SIDS	0.0827476
"substance abuse"	0.0821516
unemployment	0.0818937
"labor cost"	0.0816192
retention	0.081601
"poverty rate"	0.0802922
poaching	0.0801396
C-section	0.0800556
Truancy	0.0795787
enrollment	0.0787106
wastage	0.0783908
ridership	0.0783005
indebtedness	0.0770869
Obesity	0.076508
tiredness	0.0763821
"fertility rate"	0.0748383
"insurance premium"	0.0747656
"operating cost"	0.0746596
fertility	0.074181
"capital expenditure"	0.0734083
workload	0.0728206
hospitalization	0.0722839
"crime rate"	0.07145
"drug use"	0.0711352
gonorrhea	0.0710167
hooliganism	0.0701548
deforestation	0.0695343
inefficiency	0.0693872
"drug abuse"	0.0691452
"production cost"	0.0684125
"medicare payment"	0.0668919
salinity	0.0667609
"elephant population"	0.0659177
congestion	0.0658579
incidence	0.0648919
"home sale"	0.064785
TAXES	0.0647607
"borrowing cost"	0.0646044
birthrate	0.0642737
Caesarean	0.0641904
homelessness	0.0640653
"wage increase"	0.063968
downtime	0.0639104
prevalence	0.063857
layoff	0.0633604
"heart rate"	0.0631774
Alcoholism	0.0629352
incarceration	0.0627128
"management fee"	0.0620397
"bank failure"	0.0620025
"high blood pressure"	0.0619399
borrowing	0.0617935
miscarriage	0.0612337
"heroin addiction"	0.0611788
infertility	0.0609777
"electric bill"	0.0602443
relapse	0.0599327
"liver disease"	0.0594313
"noise level"	0.0590516
"lead poisoning"	0.0588755
"death rate"	0.0586793
depletion	0.0585511
usage	0.0581927
retrenchment	0.058118
"sexual activity"	0.0580995
fatality	0.0579217
"property tax"	0.0578394
"life expectancy"	0.0570583
urbanization	0.0567862
dislocation	0.0566023
"birth rate"	0.056227
overcapacity	0.0560352
foreclosure	0.0560307
"occupancy rate"	0.0559121
"health problem"	0.0558646
"operating expenses"	0.0558317
insecurity	0.0557501
profitability	0.0557269
"alcohol abuse"	0.0557256
"gas price"	0.0555994
anemia	0.0554662
utilization	0.055397
intermarriage	0.0552217
NPLs	0.0552139
"blood pressure"	0.055059
irritability	0.0547955
overdraft	0.0547631
literacy	0.0547196
Indiscipline	0.0546736
waistline	0.0545154
"price competition"	0.0544091
"mortality rate"	0.0542956
"engine failure"	0.0542593
volatility	0.0540971
hypertension	0.0540944
airfare	0.053944
added-value	0.0538205
"consumer demand"	0.0537876
"retirement benefit"	0.0537826
"air pollution"	0.0537407
misbehavior	0.0528608
postage	0.0527326
"test score"	0.0525318
mobility	0.0522843
caseload	0.0518912
rollovers	0.0518702
despondency	0.0518166
cynicism	0.0517807
penetration	0.051686
Osteoporosis	0.0516729
"tooth decay"	0.0514671
assimilation	0.0513578
dissatisfaction	0.051338
TRUANT	0.0512159
"customs duty"	0.0511435
urination	0.0511043
disillusionment	0.0508723
apathy	0.0508313
proficiency	0.0507591
dependency	0.0507448
"soil erosion"	0.0506819
"voter turnout"	0.0505317
degradation	0.0505169
drinking	0.0505103
"sexually transmitted disease"	0.0504408
"heart disease"	0.0503997
"lung cancer"	0.0503463
dizziness	0.0502973
constipation	0.0501203
write-down	0.0500914
"sexual desire"	0.049956
"rate of inflation"	0.0498422
drunkenness	0.0497746
"standard of living"	0.0496878
insomnia	0.0496325
laziness	0.0495795
"inheritance tax"	0.0492893
"cost of living"	0.0492883
politicization	0.0491442
"Hang Seng China-Affiliated Corporations Index"	0.0491431
"cost overrun"	0.0491177
copayments	0.0491011
intake	0.0489812
illiterate	0.0487969
impoverishment	0.0487198
"kidney disease"	0.0484317
liquidity	0.0484277
bullishness	0.0483639
"tax income"	0.0481773
deductibles	0.0480155
"unemployment rate"	0.0479866
density	0.0479808
"red tape"	0.0479451
dependence	0.0478774
asthma	0.0478513
"personal income"	0.0477656
homocysteine	0.047666
IDD	0.0475771
reimbursement	0.0474846
erosion	0.0474772
inequality	0.0471257
"national income"	0.047091
"tax rate"	0.0470438
deafness	0.0469642
desertification	0.0468685
disability	0.0468497
"fatal accident"	0.0468197
"cardiovascular disease"	0.0467783
piracy	0.0467167
Tuition	0.046619
"budget deficit"	0.0466109
blindness	0.0466069
viewership	0.0465748
"consumption tax"	0.0464119
hopelessness	0.0463784
"wear and tear"	0.0463583
"service charge"	0.0462632
"power failure"	0.0462343
))
(absentia (desc 3983.71) (sims
"juvenile court"	0.10286
"superior court"	0.101041
"military court"	0.0999441
"criminal court"	0.0954652
"federal court"	0.0888834
imprisonment	0.0883654
"statute of limitations"	0.0853611
"U.S. District Court"	0.0819947
"The Hague"	0.0786305
retrial	0.0646869
"District Court"	0.0633021
"line of duty"	0.0608832
"prison term"	0.0604211
"state prison"	0.0594608
mistrial	0.0578978
treason	0.0573123
Jasper	0.0547942
"drug case"	0.0541516
Hague	0.0536465
court-martial	0.0509499
Acquittal	0.0502714
"court martial"	0.0498193
"firing squad"	0.0493602
"house arrest"	0.0475083
holdup	0.0468287
PALERMO	0.0466025
summons	0.0459421
"electric chair"	0.0457027
"Jackson County"	0.0455514
"Federal District Court"	0.0454381
remorse	0.0445535
Bursa	0.0439886
"US District Court"	0.0439823
"prison sentence"	0.0426193
"Albany County"	0.0422901
Hattiesburg	0.042235
"Whitewater investigation"	0.0408199
"drive-by shooting"	0.0405359
))
(absinthe (desc 1323.69) (sims
"cranberry juice"	0.0952941
whisky	0.0882533
"Diet Coke"	0.0863345
antifreeze	0.0828254
stout	0.0825369
"ginger ale"	0.0791399
Cognac	0.078641
"red wine"	0.0777044
Gatorade	0.0773144
Guinness	0.0771682
cola	0.0768763
olestra	0.074176
bourbon	0.0738281
cider	0.0714443
"ice water"	0.0708297
"grapefruit juice"	0.0697687
lemonade	0.0692962
"iced tea"	0.0688696
bubbly	0.0684874
vodka	0.0679475
tequila	0.067892
"sparkling wine"	0.067636
"Bud Light"	0.0670273
"white wine"	0.0668282
"hot chocolate"	0.0664775
"Dom Perignon"	0.0662178
cappuccino	0.0653974
"apple juice"	0.064153
kava	0.0639327
spec	0.0638902
ale	0.0637785
"first cup"	0.0627757
Kool-Aid	0.0626116
"root beer"	0.0625315
"orange juice"	0.0623523
lattes	0.06197
eggnog	0.0617779
"fruit juice"	0.0612897
Snapple	0.0612524
Chianti	0.0610841
Riesling	0.0602521
"spring water"	0.0599413
"green tea"	0.0592261
"tomato juice"	0.0591949
Calvados	0.0588637
"alcoholic beverage"	0.0580221
whiskey	0.0574339
"Commonwealth Ministerial Action Group"	0.0566679
booze	0.0565116
smoothie	0.0563136
"hard drug"	0.055727
nectar	0.0557094
Pepsi	0.0554927
felling	0.0549005
antiseptic	0.0543999
OD	0.0542593
"cup of tea"	0.0538754
soy	0.0535454
Martini	0.0534897
clear-cutting	0.0534882
"mineral water"	0.0527887
benzene	0.052365
meth	0.0523644
merlot	0.0523096
thalidomide	0.0517672
caffeine	0.0516073
"summer house"	0.0511901
vending	0.050507
"won-lost record"	0.050397
bodysuits	0.0503545
"foot traffic"	0.0502757
"cash crunch"	0.0495559
EX-COMMUNISTS	0.0493383
Firewood	0.0493347
GHB	0.049067
"electrical device"	0.0489059
Zinfandel	0.0487873
Margarita	0.048732
heatwave	0.0486806
rollovers	0.0485028
miscommunication	0.0484833
"Mountain Dew"	0.0480637
PCBs	0.0480185
nitrate	0.0475135
nudist	0.0474082
methamphetamine	0.0469245
"tap water"	0.0464157
Seltzer	0.046113
Countess	0.0460498
pluses	0.0456921
"diesel oil"	0.045214
"natural ability"	0.0452122
MTBE	0.0450368
verity	0.0448022
oddsmakers	0.0444564
"hay fever"	0.0444064
antihistamine	0.0443312
"blue blood"	0.0441583
"member bank"	0.0440303
liqueur	0.0439454
"elbow room"	0.0439022
"fox hunting"	0.0438737
Budweiser	0.0435399
suds	0.043496
"accounting problem"	0.0433941
hand-holding	0.0433887
fizz	0.0430655
"baking soda"	0.043062
afterburner	0.0429532
chloride	0.0425467
apparatchiks	0.0425065
"Cabernet Sauvignon"	0.0424815
"two bottles"	0.0422984
"woman's body"	0.0422342
kibbutz	0.0422153
"luxury liner"	0.0419272
Bellini	0.0418593
Tai	0.0418428
"jockey club"	0.0416409
"cinder block"	0.0413475
shoemaker	0.0411665
"organic compound"	0.0411094
"inferiority complex"	0.0411043
"Coca Cola"	0.040916
harder	0.0408952
"hundred years"	0.040812
grappa	0.0408094
shag	0.0407921
"Joe Camel"	0.0407798
Hunchback	0.0407421
"street address"	0.0405514
Chadwick	0.040492
"high water"	0.0404496
"Maple Leaf Gardens"	0.0404365
teaser	0.040406
clapboard	0.0403538
cockfighting	0.0400118
))
("absolute majority" (desc 3291.13) (sims
plurality	0.172994
quorum	0.15834
two-thirds	0.114396
"proportional representation"	0.106121
"right to vote"	0.101169
two-third	0.0991895
three-fifths	0.0962938
thirds	0.0939525
mayorship	0.09236
"floor leader"	0.0892582
acclamation	0.0890663
"Twenty-five percent"	0.0807234
"Sixty-five percent"	0.0778796
"More than two-thirds"	0.0776731
speakership	0.0752982
toehold	0.0739679
bloc	0.0737244
concurrence	0.0730749
three-fourths	0.0721382
"clean slate"	0.0721116
"Fifteen percent"	0.0721051
"nearly one third"	0.0716944
"Eighty-five percent"	0.0700909
"won @@@"	0.0692435
"won @@.@ percent"	0.0687718
twenty-four	0.0684391
"less than one percent"	0.0682862
triple-double	0.0679686
MP	0.0678185
"nearly two-thirds"	0.0660837
"economies of scale"	0.0651701
"Seventy-five percent"	0.0642954
weighting	0.0626732
backbencher	0.0614663
"electoral college"	0.0612206
"core group"	0.0611625
"More than three-quarters"	0.0609098
vote-getters	0.0604544
polling	0.0601547
"balance of power"	0.059234
"About @@.@ percent"	0.0588716
"Lower House"	0.058721
"almost two-thirds"	0.0579608
"ownership stake"	0.057496
"first reading"	0.0571888
"upper hand"	0.056917
"leadership position"	0.0567466
"less than five percent"	0.0565757
abstention	0.056197
"More than three quarters"	0.0558588
"majority rule"	0.055112
"tax advantage"	0.0545768
"random sample"	0.0544163
unanimity	0.0539088
"Forty-five percent"	0.0536245
by-elections	0.052922
"head count"	0.0515216
"legislative assembly"	0.0514521
"finance committee"	0.051163
Knesset	0.0511591
"full term"	0.05113
"nine percent"	0.0511134
counting	0.0510071
rigging	0.0509217
"representative sample"	0.0507423
suffrage	0.0507038
candidature	0.0506439
no-confidence	0.0506216
"three pitchers"	0.0504053
"more than three-fourths"	0.0503775
oomph	0.0502886
seniority	0.0500497
twenty-six	0.0500496
"Almost three-quarters"	0.0500427
erection	0.0500185
Renamo	0.0500095
"Nearly three-quarters"	0.0498362
one-fourth	0.049561
"about one quarter"	0.0489749
clout	0.0489384
"about one-third"	0.0488021
"won @"	0.0485433
"fishing license"	0.048239
self-sufficiency	0.0482309
"about one-fifth"	0.0481475
"Senate Appropriations Committee"	0.0479762
"breathing space"	0.04793
Pe	0.0478531
"tax income"	0.0478025
"Medicare HMO"	0.0477232
"Liberal Democrats"	0.047517
"tax treatment"	0.0474491
"more than one-fourth"	0.0473899
"Consultative Assembly"	0.0468219
"Congress Party"	0.0468144
apportionment	0.0467782
"Fifty percent"	0.0467744
"work permit"	0.0467311
bipartisanship	0.0466039
accreditation	0.046591
proficiency	0.0465334
"safety feature"	0.0464373
"spending cut"	0.0462505
"security clearance"	0.0462123
Multan	0.0461788
"More than one-third"	0.0460294
"competitive advantage"	0.0458076
"roll call"	0.0456757
"Speaker Ali Akbar Nateq-Nouri"	0.0455763
CUF	0.0454298
"voter turnout"	0.045345
"about two-thirds"	0.0452453
"about one third"	0.0451758
"House of Commons"	0.0450975
half-point	0.0448288
"Fifty-five percent"	0.0447795
"Eighty percent"	0.044703
"Texas Legislature"	0.0442436
coursework	0.0442272
p/e	0.0440858
enumeration	0.0439996
"one fifth"	0.0438538
Twenty-three	0.0437165
interoperability	0.0436564
"over @@.@ percent"	0.0436292
"first points"	0.04354
"equity stake"	0.0433815
"Israeli Cabinet"	0.0433449
"market penetration"	0.0431813
reapportionment	0.0431448
"term of office"	0.0429899
corroboration	0.0429465
"fire drill"	0.0428355
"order form"	0.0427991
electability	0.0427101
"nearly one-third"	0.0424613
"one third"	0.0423746
Moorer	0.0423136
"More than one third"	0.0423078
"order of business"	0.0422686
"second reading"	0.0421229
BJP	0.0419824
"Lesotho Congress"	0.0418108
C-section	0.041793
immortality	0.0417607
"power of attorney"	0.0416394
"break of serve"	0.0414938
Inoculation	0.0414059
emancipation	0.041394
"over two-thirds"	0.0413623
wattage	0.0413272
"House Appropriations Committee"	0.0412972
"decisive factor"	0.0412638
neutrality	0.0412541
"a few pounds"	0.0411337
"About @@ per cent"	0.0408904
canvassing	0.0407899
"Kenya African National Union"	0.040594
"six percent"	0.0405665
"inside track"	0.040552
"won nine"	0.040528
"United National Party"	0.0405258
"incubation period"	0.0404452
"Bangladesh Nationalist Party"	0.0404332
GPA	0.0403988
"seating capacity"	0.0403864
chaplain	0.0403695
Gatling	0.0403569
amplification	0.0402288
"Buster Douglas"	0.040032
renown	0.0400125
rank-and-file	0.0400089
"search warrant"	0.0400033
))
(absolutes (desc 910.478) (sims
blinder	0.124891
backsliding	0.112862
"written record"	0.0876037
frill	0.087129
"sacred cow"	0.0843316
cudgel	0.0828641
inhibition	0.0806389
mistaking	0.0783966
"frame of reference"	0.0772246
slippage	0.0766328
hesitancy	0.0741128
ifs	0.0725697
relativism	0.0720148
downsides	0.0703213
validity	0.069843
letup	0.0693733
corroboration	0.0684722
anomaly	0.0683772
fulcrum	0.0670181
bombshell	0.0667531
"loose end"	0.066018
misgiving	0.0656135
qualm	0.0655446
probity	0.0646125
imperatives	0.0644917
dogma	0.0641313
"Iranian POWs"	0.0637545
inkling	0.0636183
preconception	0.063307
nicety	0.0630911
"magic bullet"	0.0625182
"difference of opinion"	0.0623454
dissension	0.061218
deviation	0.0598844
laggard	0.058909
impropriety	0.0581573
chink	0.0577929
semblance	0.0574395
thorn	0.0572474
timeouts	0.0571405
"quid pro quo"	0.0571133
VMs	0.0570406
bedfellow	0.0564763
Grounding	0.0562422
righteousness	0.0560922
"subject area"	0.0557279
misadventure	0.0555497
culpability	0.0555244
laxity	0.0554447
guidepost	0.0551008
certitude	0.0550542
dichotomy	0.054992
constancy	0.0537173
hang-up	0.0535845
masculinity	0.0535787
QBs	0.0534448
incoherence	0.0529723
theatricality	0.0528286
blemish	0.052425
flashpoints	0.052224
"majority rule"	0.0521889
hauteur	0.0519802
animus	0.0515966
precept	0.0513373
"written language"	0.0509966
"school of thought"	0.0506355
dissenter	0.0505351
"probable cause"	0.0502188
dictation	0.049831
"surgical instrument"	0.0497365
predisposition	0.0497348
shootouts	0.049508
vibes	0.0493975
dropoff	0.0492727
"sense of direction"	0.0491658
"civil liberty"	0.0488902
"absentee ballot"	0.0486755
underpinning	0.0486339
pretension	0.0485827
zealotry	0.0483084
duplication	0.048254
"direct evidence"	0.0482273
vestige	0.0480514
revisionism	0.0476753
kink	0.0476347
legalism	0.0475377
fundraisers	0.0473941
"tax advantage"	0.0473706
"preconceived notion"	0.0472413
brownfields	0.0472392
"basic principle"	0.0470686
businesswomen	0.0468428
paternity	0.0467469
"Roman Catholicism"	0.0467418
"great deal"	0.0464532
illiteracy	0.0464397
elaboration	0.0464281
reasonableness	0.0463906
Shangri-la	0.0463322
"safety problem"	0.0461285
"point of reference"	0.0460018
"right to privacy"	0.0459793
toxicity	0.0459497
rigidity	0.0458422
Legos	0.0458216
"statute of limitations"	0.0458071
ex-convicts	0.0455259
pettiness	0.0455021
marketeers	0.0453159
pretense	0.0452883
"bad blood"	0.0452083
ballast	0.0451751
yardstick	0.0451593
rightness	0.0451584
"sphere of influence"	0.0449162
ventilation	0.0448876
chaser	0.0448789
"freedom of speech"	0.044873
shipmate	0.044688
archetype	0.0446739
imperfection	0.0445099
alibi	0.0445002
reciprocity	0.0444341
arm-twisting	0.0443374
schism	0.0443177
opprobrium	0.0442813
firsts	0.0442787
misperception	0.0442535
downslide	0.0441597
"blind spot"	0.0441513
"practical application"	0.0441169
knockdown	0.0438618
clear-cutting	0.0437294
"foul play"	0.0435682
malice	0.0435242
side-effects	0.0435064
hyperbole	0.0434989
generalization	0.0434878
delusion	0.0433537
trepidation	0.0431831
hyphen	0.0431807
whodunit	0.0428878
deal-making	0.0428475
"tree stump"	0.0426333
religiosity	0.0426004
hackle	0.0425855
practicality	0.0425403
hand-wringing	0.042537
Mus	0.0425235
iota	0.0424653
"B&AMP;B"	0.0424483
regrets	0.0423851
"three schools"	0.0423133
headliners	0.0422487
"ammonium nitrate"	0.042242
"tax hike"	0.0422373
radicalism	0.0422192
"bank failure"	0.0422051
"boat race"	0.042173
"fundamental principle"	0.0420416
Repositioning	0.0420008
"close call"	0.0419106
mooring	0.0418081
"ballet company"	0.0416257
misinterpretation	0.0415395
relativity	0.041481
"trading card"	0.0414554
"jelly bean"	0.0414373
inferiority	0.0413702
time-frame	0.0412386
"boxing glove"	0.041207
"social structure"	0.0410669
comeuppance	0.0409589
gravitas	0.0409244
"core group"	0.0409055
"human waste"	0.0408079
"reference point"	0.0407436
inadequacy	0.0406938
pizazz	0.0406674
"ill will"	0.0404802
permissiveness	0.0404645
highflier	0.0404189
"U.N. Resolution @@@"	0.0404065
"credit system"	0.040257
"bunk bed"	0.0401293
atheism	0.0400165
))
(absolution (desc 1881.07) (sims
forgiveness	0.0846025
knighthood	0.0777168
catharsis	0.0740229
"summary judgment"	0.0737528
exorcism	0.0723613
atonement	0.0721916
dispensation	0.0711399
vindication	0.0695537
"stay of execution"	0.0688618
"shock therapy"	0.0647869
repentance	0.064392
deferral	0.0618456
instructions	0.0617041
"positive feedback"	0.0616012
"honorary degree"	0.0609174
deliverance	0.0605342
deferment	0.0601982
reprieve	0.0601413
anticlimax	0.059347
rehearing	0.0583717
solace	0.0582402
renegotiation	0.058184
"seal of approval"	0.057886
leniency	0.0573505
resuscitation	0.0566425
validation	0.0564295
continuance	0.0563597
Awakening	0.0554515
penance	0.0554317
"tax treatment"	0.0550007
immortality	0.0549253
easement	0.05438
"refresher course"	0.0529607
annulment	0.0529291
"power of attorney"	0.0529174
"expression of regret"	0.0528899
tutorial	0.0528279
clemency	0.0521184
"disability payment"	0.0518794
"safe harbor"	0.0513696
reassurance	0.0511597
rapture	0.0504802
assent	0.0504481
variance	0.0503983
redemption	0.0501316
indemnity	0.049908
"network programming"	0.0497334
counterbid	0.0497297
epiphany	0.0495045
nourishment	0.0494851
guardianship	0.0493014
succor	0.0491752
commutation	0.0488784
"all clear"	0.0485828
M.A	0.0485251
fillip	0.0482471
banishment	0.0480151
"more than @@@ million dollars"	0.0475995
sustenance	0.047386
rejoinder	0.0473465
make-over	0.0473314
"honorable mention"	0.0470958
"hospital care"	0.0467577
sendoff	0.0467361
perquisite	0.0467232
obedience	0.046088
nonevent	0.0453682
opprobrium	0.0450324
"disability benefit"	0.0449523
"history lesson"	0.0447901
sacrament	0.044488
"tax benefit"	0.0443039
exoneration	0.0442827
"medical aid"	0.0442776
flak	0.0440676
"lethal dose"	0.0440036
tranquility	0.0439779
bonding	0.0438943
salvation	0.0437088
commendation	0.0435861
individualist	0.0434996
abatement	0.0434718
"carte blanche"	0.0434009
disbarment	0.0433908
culpability	0.0432151
clearinghouse	0.043155
transcendence	0.043016
"a few thousand dollars"	0.0429414
humility	0.0429104
"face lift"	0.0426949
travelogue	0.0425536
tutoring	0.0425189
"patent right"	0.0425063
acknowledgement	0.0422516
adjournment	0.0419928
triage	0.0417192
TPA	0.0417125
RM@@@	0.0416126
remission	0.0412178
relativism	0.0411392
"theatrical production"	0.0411261
"order form"	0.0410753
nevirapine	0.0410699
M.D	0.0410204
"safety valve"	0.040907
kudos	0.0407868
"J.J Stokes"	0.0407027
bipartisanship	0.0406318
"word of advice"	0.0404121
transfusion	0.0403321
adulation	0.0402922
"form letter"	0.040218
enema	0.0400365
))
(absorption (desc 11140.2) (sims
metabolism	0.121135
intake	0.119972
uptake	0.100983
utilization	0.0888112
depletion	0.0852043
secretion	0.0825375
accumulation	0.0819777
buildup	0.0781196
flow	0.0772791
concentration	0.0762139
evaporation	0.0756125
penetration	0.0749776
urbanization	0.0748112
influx	0.0730736
assimilation	0.0714968
deficiency	0.0702605
availability	0.0686927
inflow	0.0673998
consumption	0.066172
diversification	0.0657007
ovulation	0.0634871
homeownership	0.0634435
retention	0.0633721
wastage	0.0632066
commercialization	0.0630792
standardization	0.0628932
melting	0.0622184
efficiency	0.0622013
outflow	0.0617041
distribution	0.0614713
"housing sale"	0.0612572
density	0.0599087
digestion	0.0596878
popularization	0.0593445
productivity	0.0592417
insufficiency	0.0592244
emission	0.0581476
competitiveness	0.0571232
leakage	0.0569833
disbursement	0.0566071
liquidity	0.0559619
isotope	0.0554314
profitability	0.0551256
usage	0.0544568
integration	0.0542699
drainage	0.0540403
"truck sale"	0.0539141
"investor confidence"	0.053874
Liberalization	0.0537623
employment	0.0530446
desalination	0.0528857
detection	0.0525359
"market penetration"	0.0524071
"price competition"	0.0518121
industrialization	0.0517801
respiration	0.0517718
interdependence	0.0516253
acceptance	0.0516002
"employment growth"	0.0514932
viability	0.0511973
phaseout	0.0510826
exploitation	0.0506351
internationalization	0.0505279
allocation	0.0501794
"price pressure"	0.0499107
"heart rate"	0.0496805
"urban planning"	0.0496337
mobilization	0.0495301
recidivism	0.0495187
Ingestion	0.0492173
processing	0.0491807
mobility	0.049021
punctuality	0.0489149
enrolment	0.048903
emitter	0.0485956
disconnection	0.048329
upturn	0.047923
saturation	0.0478889
infusion	0.0478363
afforestation	0.0477896
regeneration	0.0476359
storage	0.0475844
fragility	0.0474902
repatriation	0.0474207
"tax collection"	0.0473886
salinity	0.0473166
effectiveness	0.047228
"steel production"	0.0469621
decomposition	0.0468878
dissipation	0.0468804
migration	0.0468566
recycling	0.046785
advancement	0.0466946
dynamism	0.0466789
polarization	0.0466529
sustainability	0.0466261
incorporation	0.0465018
"cancer death"	0.046432
modernization	0.0463575
circulation	0.0463107
democratization	0.0462828
build-up	0.0462718
conservation	0.0462402
deceleration	0.0462115
taxation	0.0460293
adoption	0.0459918
transportation	0.0458281
reliability	0.0457595
self-sufficiency	0.0457188
alertness	0.0456234
molecule	0.0454589
buoyancy	0.0454573
injection	0.0453162
erosion	0.045141
ion	0.0449247
redistribution	0.0448905
breathing	0.0448373
outperformance	0.0446773
"sense of smell"	0.0445883
deterioration	0.0445636
deforestation	0.0444587
progression	0.0444172
"public security"	0.0444052
toxicity	0.0442897
dependence	0.0442801
transformation	0.0441451
proficiency	0.0440906
absenteeism	0.0440534
"rapid growth"	0.0438259
competence	0.0438053
activation	0.0437097
removal	0.0436989
extraction	0.0436456
takeover	0.043485
repayment	0.0434481
dissemination	0.0433646
"social welfare"	0.0433318
abolition	0.0432914
transparency	0.0431859
clotting	0.0430814
marginalization	0.0430544
innovation	0.0430541
exploration	0.043039
deregulation	0.0429679
reallocation	0.042883
fertility	0.0427866
voltage	0.0427167
accretion	0.0426942
insulin	0.0426539
Privatization	0.0425968
"oil production"	0.042213
Emigration	0.0421131
Manpower	0.0420934
maturation	0.0420653
borrowing	0.0420232
enrollment	0.0420138
nutrition	0.0415609
NPLs	0.0414752
cholesterol	0.0414443
pumping	0.0414162
mining	0.0413607
"standard of living"	0.0412816
marketability	0.0411994
"public works"	0.0411252
oversupply	0.0410176
airflow	0.0409823
"rate of growth"	0.0408503
reintegration	0.0407815
"consumer demand"	0.0407553
consolidation	0.0407319
purification	0.0406984
Convergence	0.0406763
"quality control"	0.040663
outlay	0.0406445
morbidity	0.0405954
flexibility	0.0405408
retooling	0.0405113
potency	0.040459
rollout	0.0404006
quantity	0.0403889
recruitment	0.0403487
volatility	0.0403425
sanitation	0.0403394
"export sale"	0.0403259
seepage	0.0402988
"decision making"	0.0402947
"legal representation"	0.0402052
input	0.0401782
exodus	0.040063
oxygen	0.0400629
hormone	0.0400527
deployment	0.0400353
"flow rate"	0.0400001
))
(abstention (desc 8718.83) (sims
no-decisions	0.116521
great-grandchildren	0.081021
"Pro Bowls"	0.0772202
"All-Star Games"	0.0729537
crewmembers	0.0726172
MP	0.0721168
knockout	0.065241
"less than three minutes"	0.0649476
"unearned run"	0.0647591
baserunners	0.0643988
"Ryder Cups"	0.064245
takeaways	0.0628382
B-@s	0.0627978
"base runner"	0.0622464
"day of rest"	0.0617612
vote-getters	0.0613875
"Final Fours"	0.061327
"earned run"	0.0611295
homeownership	0.0610944
starts.	0.0608084
strikeout	0.0605867
"major-league team"	0.0600724
"extra points"	0.0588208
"break of serve"	0.058749
"No. @s"	0.0584693
"major league season"	0.0577952
TDs	0.0575873
hundredth	0.0575847
"absolute majority"	0.056197
turnout	0.0560376
runnings	0.0556823
Dutchmen	0.0552768
years.	0.0550956
A@@@s	0.0529112
spacewalks	0.0515756
two-thirds	0.0506673
"foul shot"	0.050619
miscarriage	0.0503606
"Cy Young Awards"	0.0498356
bogy	0.0497484
interception	0.0497027
no-confidence	0.0494828
knockdown	0.0494448
caveat	0.0494037
yea	0.0490375
All-Americans	0.0489159
"British Opens"	0.0484971
QBs	0.0483191
quarterfinalists	0.0481916
innings.	0.0480627
"flight of stairs"	0.0478527
deuce	0.0477872
"fatal accident"	0.0464781
defection	0.04635
"service break"	0.0456596
"over .@@@"	0.0456122
"road game"	0.0453968
"Canadian province"	0.0453355
"trading session"	0.0450408
wounded	0.0449922
"cabinet minister"	0.0449672
"great year"	0.0449318
"council member"	0.0449311
dissenter	0.0449204
postseasons	0.0447833
wicket	0.0446865
overs	0.0445788
seasons.	0.0445144
crewmates	0.0443476
Weeks	0.044239
"less than @@"	0.0442075
Knesset	0.044092
Pillars	0.0437427
unanimity	0.0436628
technicals	0.0436175
tenths	0.0435862
airmen	0.0432058
sub-projects	0.042989
sherpas	0.0427799
evaporation	0.0427508
"international flight"	0.0425299
"seeded player"	0.0422748
"Israeli Arabs"	0.0421487
Trey	0.042103
games.	0.0418665
mushers	0.0417525
"container ship"	0.0417127
Klansmen	0.0415554
"foster child"	0.0413732
"PLO Executive Committee"	0.0413495
skydiver	0.0413239
pfennig	0.0410791
absenteeism	0.0408883
"secondary school"	0.0407562
shutout	0.0407192
state-level	0.0406353
"city block"	0.0406119
"bullet hole"	0.0403445
"party line"	0.0403281
fatality	0.0402778
Hijacker	0.0401884
"Gold Gloves"	0.0400517
))
(abstinence (desc 7431.92) (sims
nonviolence	0.116719
celibacy	0.111109
"birth control"	0.102568
chastity	0.0929924
creationism	0.0926831
"family planning"	0.0924555
literacy	0.0863939
Contraception	0.085354
monogamy	0.0799414
ecotourism	0.0789385
promiscuity	0.0747352
counseling	0.0745665
nutrition	0.073625
self-reliance	0.0730764
contraceptive	0.0730653
prevention	0.0702989
"free trade"	0.0690607
frugality	0.0690008
diversification	0.0681612
fatherhood	0.0678002
volunteerism	0.0674589
entrepreneurship	0.0670779
tolerance	0.0666806
"alcohol abuse"	0.0659441
teamwork	0.0655156
"early childhood"	0.065032
self-discipline	0.0639779
telemedicine	0.0638863
homosexuality	0.0638467
equality	0.0637207
austerity	0.0631665
legalization	0.0629553
"population control"	0.0628565
acupuncture	0.0627016
Liberalization	0.0625987
ethic	0.0623177
morality	0.0611606
honesty	0.0608744
Wellness	0.0607712
methadone	0.0599447
"conflict resolution"	0.059746
circumcision	0.0596436
polygamy	0.0595839
self-regulation	0.0587595
patriotism	0.058689
diversity	0.0586764
homeownership	0.058635
governance	0.0576132
"mass transit"	0.0572037
sportsmanship	0.0569884
preservation	0.0569641
alleviation	0.056849
conservation	0.0567711
"theory of evolution"	0.0564402
decentralization	0.0563731
pluralism	0.0557874
Indexing	0.0556981
"sign language"	0.0556049
"land reform"	0.0555819
thrift	0.0555106
"marital status"	0.0550351
enforcement	0.0549884
"R&AMP;D"	0.0547544
sexuality	0.0546428
rectification	0.0545779
abortion	0.0545744
Openness	0.0541196
immunization	0.0539983
"low-fat diet"	0.0539545
eradication	0.0538395
fitness	0.0535957
immersion	0.0534511
"equal opportunity"	0.053379
atheism	0.052969
self-restraint	0.0529479
dollarization	0.0526123
cannibalism	0.052584
prudence	0.052549
euthanasia	0.0524919
civics	0.0524477
preschool	0.0524007
conservatism	0.0523497
obedience	0.0522819
simplicity	0.052181
"adult education"	0.0521065
moderation	0.0518232
self-sufficiency	0.0516316
"alternative medicine"	0.0514776
forgiveness	0.0512375
"home rule"	0.0511827
"majority rule"	0.0511471
condom	0.0510484
"deficit reduction"	0.0510007
Christianity	0.0509687
accountability	0.0508567
voucher	0.0507767
vasectomy	0.050714
"gun control"	0.0506473
restraint	0.0504103
multiculturalism	0.0503183
self-defense	0.0501439
phonics	0.0500479
recycling	0.0500412
"vocational training"	0.0498141
reemployment	0.0497314
hygiene	0.0496398
"hard work"	0.0496083
reconciliation	0.0492775
Buddhism	0.0491749
individualism	0.0489704
activism	0.0489246
empowerment	0.0487513
transparency	0.0486505
deregulation	0.0486311
fertilization	0.0485794
sensitization	0.048449
censure	0.0483346
professionalism	0.0483311
decriminalization	0.048315
permissiveness	0.0482217
sterilization	0.0478912
rehabilitation	0.0473301
modernization	0.0473285
meditation	0.0472812
isolationism	0.0472391
afforestation	0.047215
cohabitation	0.047209
redistribution	0.0469998
adoption	0.0469898
"social work"	0.0469586
"rule of law"	0.0468359
"free enterprise"	0.0467771
thalidomide	0.0467664
Qigong	0.0466898
cremation	0.0465925
compassion	0.0464955
"freedom of the press"	0.0463865
Herceptin	0.0463611
steadfastness	0.0463227
loyalty	0.046175
Etiquette	0.0460445
superstition	0.0459729
diplomacy	0.0459678
Privatization	0.045947
"liberal arts"	0.045921
Non-Proliferation	0.0458868
math	0.0455213
irradiation	0.0454224
ENBREL	0.0451997
theology	0.0450671
schooling	0.0449946
"capital punishment"	0.044984
"vocational education"	0.0449144
containment	0.0448859
"cost cutting"	0.0448634
assimilation	0.0448383
yoga	0.0447164
standardization	0.0446559
AZT	0.0444683
"first aid"	0.0442972
solidarity	0.0442769
"civil disobedience"	0.0442235
healing	0.0441663
"Vision @@@@"	0.0441637
Putonghua	0.0441481
self-censorship	0.0440619
HIV/AIDS	0.043892
Taoist	0.0438353
revitalization	0.04369
Eco-tourism	0.0434567
reunification	0.0432807
harmonization	0.0432343
childcare	0.0431872
incarceration	0.0431654
protectionism	0.0430763
Ingestion	0.0429919
self-help	0.0429714
radiotherapy	0.0429443
psychotherapy	0.0429331
civility	0.0429051
abolition	0.0429033
"drug abuse"	0.0428971
"problem solving"	0.0428795
"mental health"	0.0428656
relativism	0.0427838
industrialization	0.0427618
Capitalism	0.0427062
multi-polarization	0.0426224
"death penalty"	0.042612
intermarriage	0.0425283
fasting	0.0425266
reforestation	0.0424959
"social welfare"	0.0424226
"sexual activity"	0.0423463
urbanization	0.042336
rectitude	0.0423163
recidivism	0.0422573
weaponization	0.0422401
filtering	0.0422121
spirituality	0.042146
))
(abstract (desc 5801.45) (sims
"past tense"	0.0581071
abstraction	0.0492345
intangible	0.0468739
bedfellow	0.0463617
Hokey	0.0436087
"present tense"	0.0431615
generality	0.042869
queer	0.0427263
acoustic	0.0425026
schematic	0.0421846
"a few thousand dollars"	0.0410312
vernacular	0.0409916
idiom	0.0407039
Compendium	0.0402385
typeface	0.0400364
))
("abstract expressionism" (desc 1339.35) (sims
minimalism	0.0735492
"Pop Art"	0.0700432
Modigliani	0.0550792
modernism	0.052269
"third millennium"	0.0512521
Rothko	0.0497161
talkie	0.0488105
postmodernism	0.0480742
"American Dream"	0.0471313
cubism	0.0461243
"free spirit"	0.04479
"Mac OS"	0.0445753
"Gilded Age"	0.0439818
"computer technology"	0.0419779
surrealism	0.0413498
Kandinsky	0.0411157
miniaturization	0.0409822
trash-talking	0.0407017
"ugly duckling"	0.0400227
))
(abstraction (desc 10823.7) (sims
expressionism	0.0819145
surrealism	0.0811596
Impressionism	0.069496
photography	0.0660008
theatricality	0.0637792
painting	0.0637084
sculpture	0.0620135
realism	0.0604595
collage	0.0589765
"still life"	0.0569577
poetry	0.0561469
elegance	0.0549536
Allegory	0.0542986
drawing	0.0541441
sophistication	0.0527329
esthetic	0.052535
pastiche	0.0521378
"parlor game"	0.0511925
purity	0.0510984
watercolor	0.051061
portrait	0.050899
ambiguity	0.0504888
whimsy	0.0503976
artwork	0.050172
landscape	0.0501616
pragmatism	0.0499693
architecture	0.049552
naturalism	0.0494838
orthodoxy	0.0493883
interactivity	0.0493727
abstract	0.0492345
sensibility	0.0490919
grandeur	0.0489889
richness	0.0488698
fantasy	0.048681
self-portraits	0.0486718
evocation	0.0478335
masterpiece	0.0477197
fiction	0.0474681
rationality	0.0474259
idiom	0.0472454
"folk art"	0.047107
simplicity	0.0466586
texture	0.0465756
"oil painting"	0.0464918
spirituality	0.0464602
"work of art"	0.0464207
symbolism	0.0464093
"fantasy world"	0.0463196
motif	0.0462989
etching	0.0461856
artistry	0.0457959
hyperbole	0.0454444
tableau	0.045404
kitsch	0.0453074
aesthetic	0.0452994
Masterworks	0.0452502
silhouette	0.0450823
vocabulary	0.0450637
sketch	0.0450625
"art movement"	0.0448672
honesty	0.0447305
imagination	0.0444775
Invention	0.0443783
decor	0.0443255
melancholy	0.0442569
Triptych	0.0439074
resonance	0.043836
representation	0.0437041
melodrama	0.0436411
clarity	0.0434612
illusion	0.0434533
choreography	0.0432406
lithograph	0.0432142
intimacy	0.0431094
imagery	0.0427729
unreality	0.0427272
fable	0.0427131
Panorama	0.0427119
chic	0.0424826
calligraphy	0.0424212
pathos	0.0422793
icon	0.0422494
interpretation	0.0422494
Romanticism	0.0422279
"guardian angel"	0.0420368
engraving	0.0419069
hokum	0.0417686
meditation	0.0417659
perfection	0.0417214
vernacular	0.0415375
assemblage	0.0414698
"background noise"	0.0414425
tapestry	0.0414364
humor	0.0414255
classicism	0.0411687
metaphor	0.0410394
"morality play"	0.0409365
"art form"	0.0408055
caricature	0.0408007
"line drawing"	0.0406058
complexity	0.040448
longing	0.0404174
composer	0.0404168
precision	0.0403252
differentiation	0.040272
absurdity	0.0400852
universality	0.0400308
recreation	0.0400298
))
(absurdist (desc 1481.04) (sims
gallows	0.133958
"Neil Simon"	0.13076
surrealist	0.116924
raunchy	0.105447
"this @@@@"	0.0987307
improv	0.0928842
downbeat	0.0890762
vaudevillian	0.087475
"Noel Coward"	0.0834784
"pitch black"	0.0828918
noir	0.081952
goofball	0.0818958
showbiz	0.0780271
"Off Broadway"	0.0750507
off-Broadway	0.0712193
gimmicky	0.0709364
"avant garde"	0.0701111
sassy	0.0689976
punchy	0.0680355
revisionist	0.0651684
"drawing room"	0.063768
"Sam Shepard"	0.0622445
pantomime	0.062242
"Eugene O'Neill"	0.0604998
Germanic	0.060246
anything-goes	0.05964
"Mike Nichols"	0.057528
gothic	0.0572813
"wise guy"	0.0569118
Tinseltown	0.0568834
streetwise	0.0565307
"Kung Fu"	0.0565023
retro	0.0564489
scattershot	0.0561652
"Buster Keaton"	0.0560172
"Twilight Zone"	0.0550226
"first hand"	0.0544687
two-point	0.0542379
Coen	0.0540203
late-'@@s	0.053976
special-effects	0.0535641
IMAX	0.0530834
"dog bite"	0.0522688
Orwellian	0.0522199
oddball	0.0518132
MCC	0.0509752
third-grade	0.0509542
hourlong	0.0502414
one-point	0.0498559
Porno	0.0494762
slob	0.048781
"hair trigger"	0.0482188
throwaway	0.0480667
"French Canadian"	0.0477657
Gorey	0.0475336
contrarian	0.0463509
Behind-the-scenes	0.0462057
overlong	0.0461345
six-point	0.0453148
"Mel Brooks"	0.045021
cartoonish	0.044331
"David Mamet"	0.0443152
"show biz"	0.0442083
kitschy	0.043836
now-famous	0.0438182
transformative	0.0437167
"picture postcard"	0.0436193
cappella	0.0434144
stooge	0.0433406
MacDonald's	0.0431381
highschool	0.043135
superhero	0.0429772
fairytale	0.0429088
indie	0.0427623
coming-out	0.0423673
"John Waters"	0.0421715
"Irish Catholic"	0.0420745
four-point	0.0415993
"Oscar Wilde"	0.0412313
Keaton	0.041159
"German language"	0.040611
"stream of consciousness"	0.0402007
))
(absurdity (desc 9972.11) (sims
irony	0.0944492
unfairness	0.0929763
hopelessness	0.0912466
silliness	0.0902832
futility	0.0850172
complexity	0.0816187
inequity	0.0814103
injustice	0.0806082
uniqueness	0.0800299
hypocrisy	0.0790046
folly	0.0766822
contradiction	0.0751531
humor	0.07443
unpredictability	0.0742055
unreality	0.0732932
strangeness	0.0729508
helplessness	0.0714996
paradox	0.0708522
fragility	0.0708076
artificiality	0.0697174
playfulness	0.0691983
mockery	0.068911
indignity	0.0685953
weirdness	0.0678117
ambiguity	0.0672531
peril	0.0672037
madness	0.0666657
ordinariness	0.0654282
inevitability	0.0654076
emptiness	0.0650938
horror	0.0649399
ugliness	0.0645117
lunacy	0.0642478
powerlessness	0.0635906
reality	0.0632412
nuttiness	0.0632129
exhilaration	0.0628862
bleakness	0.0625573
pitfall	0.0620843
craziness	0.0620407
intimacy	0.0618173
vulnerability	0.0614497
simplicity	0.0609549
ignorance	0.0608158
enormity	0.060671
sophistication	0.0603922
nuance	0.0601596
perversity	0.0598963
seriousness	0.059827
greatness	0.0598037
magnificence	0.0595621
pervasiveness	0.0594974
exigency	0.0594794
distortion	0.0591023
tragedy	0.0589902
stupidity	0.0588795
insanity	0.0582803
foolishness	0.0578137
misery	0.0575409
cruelty	0.0574766
shortcoming	0.0573999
irrelevance	0.0571881
cynicism	0.0569418
awkwardness	0.0569287
beauty	0.0568892
subtlety	0.0567253
inadequacy	0.0566651
joy	0.0566319
frustration	0.0563418
banality	0.0563031
frailty	0.0562214
arrogance	0.0562083
sadness	0.0558506
foible	0.0553316
desperation	0.0551991
realism	0.055159
loneliness	0.0549261
impossibility	0.054852
notion	0.0547872
disregard	0.0547347
astonishment	0.0547139
richness	0.054703
brutality	0.0546373
despair	0.0545656
intricacy	0.0544535
melodrama	0.0543786
confusion	0.0543562
chaos	0.0541663
misinterpretation	0.0541171
fantasy	0.0537969
truth	0.053738
oddity	0.053496
nihilism	0.0533913
pathos	0.0531822
stillness	0.0530972
accoutrement	0.0530315
coincidence	0.0529329
usefulness	0.0527367
evocation	0.0525992
idiocy	0.052448
insecurity	0.0523231
grandeur	0.0523177
peculiarity	0.0522816
falsehood	0.0520257
practicality	0.0519722
brilliance	0.0519139
flaw	0.051756
immediacy	0.0516966
diversity	0.0516312
boredom	0.0515286
wonderment	0.0514792
logic	0.0514731
satire	0.0514272
annoyance	0.0513737
imperfection	0.0511989
vibrancy	0.0511041
paranoia	0.0510756
poignancy	0.0510329
cleverness	0.0503909
originality	0.0501526
treachery	0.0501378
urgency	0.0501369
agony	0.050007
minutiae	0.0499986
righteousness	0.0499477
mystery	0.0498863
vicissitude	0.0497874
elegance	0.0496832
certainty	0.0495218
essence	0.0494033
oversimplification	0.0493174
Limitation	0.0492079
barbarity	0.0491992
divergence	0.0491018
privation	0.0489664
adversity	0.0489578
hardship	0.0488546
glamour	0.0488186
normality	0.0487409
fallacy	0.0487327
perversion	0.0486021
artistry	0.0485401
nonsense	0.048503
desolation	0.0484645
clarity	0.0484397
Truism	0.0483813
evil	0.0483673
ambivalence	0.0483269
shortsightedness	0.0482821
validity	0.0482649
gravity	0.0482276
meaning	0.0481852
shallowness	0.0481609
storyline	0.0478648
vulgarity	0.0477215
humiliation	0.0477072
excitement	0.0476244
devastation	0.0476175
ferment	0.0474155
verisimilitude	0.0474019
farce	0.047345
sincerity	0.0473028
inconsistency	0.0472627
leitmotif	0.0471872
impoverishment	0.0469989
Innocence	0.0466505
excess	0.0464599
splendor	0.0464574
Romance	0.0464373
isolation	0.0463726
misreading	0.0463256
connectedness	0.0462767
authenticity	0.046275
universality	0.046247
accouterment	0.0459698
heroism	0.0458261
tranquility	0.045673
perfection	0.0456238
viciousness	0.0455246
sweetness	0.0455228
catastrophe	0.0454704
yearning	0.0454698
disrespect	0.0454451
pleasure	0.0454126
savagery	0.0454025
serenity	0.0453835
misperception	0.0453463
miscalculation	0.0452885
goodness	0.0452477
repetition	0.045245
nostalgia	0.0452003
facet	0.0451639
allure	0.0451079
superficiality	0.0450228
tranquillity	0.0449876
inequality	0.0448225
obsession	0.0448138
deprivation	0.0448113
dimension	0.0447693
misunderstanding	0.0446694
))
("Abu Ala" (desc 2083.27) (sims
"Ahmed Qureia"	0.255806
"Sheldon Silver"	0.240392
"Gennady Seleznyov"	0.21278
"Yegor Stroyev"	0.207419
"Peter Vallone"	0.204431
"Dennis Hastert"	0.181968
"Mahmoud Abbas"	0.174425
"Ricardo Alarcon"	0.151915
"Amien Rais"	0.146054
"Saeb Erekat"	0.13812
"Joseph Bruno"	0.134252
"Robert Livingston"	0.134182
"Abu Mazen"	0.1332
Ben-Ami	0.131321
Harmoko	0.126101
"Laurent Fabius"	0.123189
"Vaclav Klaus"	0.119593
"Momcilo Krajisnik"	0.117616
Kesri	0.115577
"Boris Nemtsov"	0.109402
"Faisal Husseini"	0.107425
"Alexander Shokhin"	0.101411
Eran	0.100686
Berri	0.100642
R-Miss.	0.0995532
Shaath	0.0966217
"Oded Eran"	0.0951927
"Valery Pustovoitenko"	0.0950034
"Mikulas Dzurinda"	0.0936071
"Bob Livingston"	0.0933575
Stoyanov	0.0911726
"Adem Demaci"	0.0898777
R-La.	0.0894286
"Fernando Henrique Cardoso"	0.0857658
"Wei Jianxing"	0.0854961
"Dai Bingguo"	0.0854348
"Mikhail Kasyanov"	0.083909
Erekat	0.0831654
"De Soto"	0.0825403
"Martin McGuinness"	0.0816673
"Mo Mowlam"	0.0811696
Nujoma	0.0807724
Majali	0.0806142
"Newt Gingrich"	0.0803849
"Ivan Kostov"	0.0803325
"Wlodzimierz Cimoszewicz"	0.0801449
Narayanan	0.080081
Bouteflika	0.0799774
"David Trimble"	0.0798547
Karimov	0.0796194
"Yasser Abed Rabbo"	0.0796041
Kwasniewski	0.0792245
"Yitzhak Molcho"	0.0791425
"Li Ruihuan"	0.0784745
Constantinescu	0.0781977
Hrawi	0.0776959
Klestil	0.0774125
"Le Kha Phieu"	0.0771577
"Dick Armey"	0.0764165
"Sonia Gandhi"	0.0759598
Kuchma	0.0757287
"Salim Hoss"	0.0755438
Izetbegovic	0.0747019
Abbas	0.0743516
Koirala	0.0742669
Mordechai	0.074216
"Haim Ramon"	0.073809
"Yoshiro Mori"	0.0733196
Jayakumar	0.0733059
Lahoud	0.0730872
Seleznyov	0.0730515
"Seamus Mallon"	0.0728977
"Dick Gephardt"	0.0720387
Pastore	0.0719247
"Fehmi Agani"	0.0713491
Ruehe	0.0713149
"Trent Lott"	0.0712076
"Ahmed Tibi"	0.0711998
Zeroual	0.0709022
Siazon	0.0708259
Aliyev	0.0702666
"Illinois Republican"	0.0698186
"Radu Vasile"	0.0691272
"Vuk Draskovic"	0.0686137
"Li Lanqing"	0.068151
"Abdul Salam Majali"	0.0680901
Daft	0.0677785
Kumaratunga	0.0672835
"Long Yongtu"	0.0672746
Rodionov	0.0668762
"Goran Persson"	0.0668611
"Robert Aventajado"	0.0666816
Heston	0.0662942
Cem	0.0662287
Saleh	0.0661722
"Huang Ju"	0.0653414
Fino	0.0653045
Kasoulides	0.0652858
Clerides	0.0651746
"Jim Nicholson"	0.0650992
"Aslan Maskhadov"	0.0650139
al-Shara	0.0647864
"Viktor Chernomyrdin"	0.0647113
"Necmettin Erbakan"	0.0646319
R-Ga.	0.0643949
"Dos Santos"	0.0643537
"Ibrahim Rugova"	0.0643303
"Zhang Wannian"	0.0640556
Chissano	0.0637313
"President Hafez Al-Assad"	0.0636437
"Frederick Sumaye"	0.0634853
"Minister Shlomo Ben-Ami"	0.0632311
Nazarbayev	0.0631534
"Fatos Nano"	0.0628547
al-Khatib	0.0627221
Vallone	0.0626983
"Leon Brittan"	0.0625558
"D-Los Angeles"	0.0623447
Turabi	0.0622746
Guei	0.0622555
al-Hariri	0.0619684
Rakhmonov	0.0618589
"Speaker Ali Akbar Nateq-Nouri"	0.0617194
"Abdurrahman Wahid"	0.061423
Diouf	0.0613825
"Shimon Peres"	0.0612958
"Secretary General Esmat Abdul-Meguid"	0.0611445
"William Walker"	0.0611307
"Anatoly Chubais"	0.0610799
Zeng	0.0610068
Demirel	0.0609768
"Hanan Ashrawi"	0.0607836
Cubas	0.0607526
Shevardnadze	0.0607278
Vasile	0.0605719
"Richard Gephardt"	0.0605551
Qiao	0.0605425
Insulza	0.0604354
Mkapa	0.0604196
"Li Peng"	0.060361
Blatter	0.0602711
Havel	0.0601615
Livingston	0.0601361
snakehead	0.0601207
"Milos Zeman"	0.0601189
D-Del.	0.059953
"Yossi Beilin"	0.0598696
Alatas	0.0597768
Sher	0.0596736
Gusmao	0.0595204
"John Hume"	0.0594689
Scharping	0.0594212
Ahtisaari	0.0594023
"Prime Minister Kamal El-Ganzouri"	0.0593754
Al-Sabah	0.0593675
"Bashkim Fino"	0.0593373
McGuinness	0.059309
"government minister"	0.0592665
"Tian Jiyun"	0.0590953
"Jean Chretien"	0.058849
"Kim Jong Il"	0.058628
al-Sharaa	0.0586212
D-Mo.	0.0585743
Luong	0.0585301
Mukora	0.0584956
Mackey	0.0584565
Moratinos	0.0583572
"Gerry Adams"	0.058314
"Abdul Karim Kabariti"	0.0582926
"John Bruton"	0.0582762
R-Ill.	0.0582433
"Tariq Aziz"	0.0581512
"John Sweeney"	0.0581196
"William Hague"	0.0580659
Juncker	0.0579969
"Juan Antonio Samaranch"	0.0579762
Nebiolo	0.0579264
Sharansky	0.0578372
Ghali	0.0577229
"Chuan Leekpai"	0.0576874
"P.V Narasimha Rao"	0.0576084
"Chief Executive Tung Chee-hwa"	0.0576013
Khaddam	0.0575897
Arens	0.057546
"Rolf Ekeus"	0.0575067
"Igor Sergeyev"	0.0575033
Aziz	0.0573227
"Martin Lee"	0.0572315
Beazley	0.057227
Patasse	0.0568685
Wahid	0.056748
"Nikola Poplasen"	0.056384
Marulanda	0.0563807
Ciller	0.0562359
Boehner	0.0561818
"Rick Perry"	0.0561643
Duisenberg	0.056058
Lipponen	0.056017
Kharrazi	0.0559586
"Georgia Republican"	0.0558793
))
("Abu Dhabi" (desc 14847.9) (sims
"KUWAIT CITY"	0.252808
Riyadh	0.215545
DUBAI	0.209899
CAIRO	0.200078
Doha	0.194733
MANAMA	0.190739
Sharjah	0.174858
TUNIS	0.164762
Amman	0.160702
CARACAS	0.157304
BRASILIA	0.157149
Luanda	0.156805
HANOI	0.156171
MAPUTO	0.154793
"Addis Ababa"	0.154655
MONTEVIDEO	0.151884
SANAA	0.151412
Damascus	0.150901
Tehran	0.150528
Muscat	0.148537
JOHANNESBURG	0.14681
Ashkhabad	0.144953
SOFIA	0.144473
Lusaka	0.143815
Bonn	0.143534
Islamabad	0.143149
HARARE	0.142258
Beirut	0.140941
ANKARA	0.138287
Bangkok	0.136966
Rabat	0.134578
BRUSSELS	0.133639
"Kuala Lumpur"	0.13349
Geneva	0.133021
DHAKA	0.13286
Bahrain	0.132204
"Ulan Bator"	0.131981
"New Delhi"	0.131755
Jeddah	0.131732
Manila	0.131725
KIEV	0.131159
"ALMA ATA"	0.131049
BUCHAREST	0.130477
Khartoum	0.128986
KAMPALA	0.128324
Vientiane	0.127989
YANGON	0.126635
Pretoria	0.126589
SEOUL	0.12624
"Buenos Aires"	0.126146
BOGOTA	0.126144
Tripoli	0.125841
Jakarta	0.125214
NICOSIA	0.125089
Nairobi	0.124599
"Panama City"	0.123858
COLOMBO	0.122883
Oman	0.120927
Algiers	0.120777
Yaounde	0.12055
Kathmandu	0.120521
Windhoek	0.120472
"Rio de Janeiro"	0.119399
Abuja	0.11905
"SANTAFE DE BOGOTA"	0.11742
Santiago	0.1173
UAE	0.117163
BEIJING	0.116895
Kunming	0.116833
Vienna	0.116793
Gaborone	0.116516
Alma-Ata	0.116386
Baghdad	0.116196
BUDAPEST	0.115596
Prague	0.115293
"Dar es Salaam"	0.115054
Lagos	0.114928
Managua	0.114819
Quito	0.114774
"Phnom Penh"	0.114714
Hangzhou	0.1146
Haikou	0.113868
Tbilisi	0.113356
Helsinki	0.113049
Cartagena	0.112379
Bamako	0.111786
Nanning	0.110874
Tashkent	0.110819
Wellington	0.110712
Lome	0.110487
Accra	0.110291
Kigali	0.109978
Kuwait	0.109946
Sarajevo	0.109378
Qatar	0.109183
ZAGREB	0.107894
Ouagadougou	0.107492
Moscow	0.107421
PYONGYANG	0.106832
TIRANA	0.106554
Fuzhou	0.106193
Ottawa	0.106105
STOCKHOLM	0.105489
LISBON	0.105138
Asmara	0.105077
Dushanbe	0.105041
WARSAW	0.104504
Guangzhou	0.104327
Havana	0.103936
Hefei	0.103696
Yinchuan	0.103219
Madrid	0.103115
"United Arab Emirates"	0.102586
Chisinau	0.102485
Mbabane	0.101633
Vilnius	0.101217
Urumqi	0.10101
Gaza	0.100326
Lanzhou	0.0998907
emirate	0.0997938
"Tel Aviv"	0.0996898
Durban	0.099031
"Mexico City"	0.098464
Lima	0.0976897
Tokyo	0.0966083
Canberra	0.0950559
Shanghai	0.0949844
"Saudi Arabia"	0.0949721
Almaty	0.0947428
Changsha	0.0947059
CHENGDU	0.0943857
Minsk	0.0937137
JERUSALEM	0.0936454
Maseru	0.0935658
Peshawar	0.0931349
Shenyang	0.0930882
LONDON	0.0921942
Bishkek	0.0921609
Skopje	0.0915432
Abidjan	0.0912091
Baku	0.0909725
Istanbul	0.0908353
NANJING	0.0902065
Singapore	0.0892587
Dakar	0.0891313
Rome	0.0888768
Lhasa	0.0881725
Libreville	0.0881653
Chennai	0.0878045
Yerevan	0.0873793
BELGRADE	0.0873242
Asuncion	0.0871532
"Egyptian capital"	0.0869902
XI'AN	0.0868069
Harbin	0.0867842
Paris	0.0864817
Kinshasa	0.0864222
"San Salvador"	0.0862774
Oslo	0.0854066
ATHENS	0.0849574
Guiyang	0.0847148
Berlin	0.0844971
CHANGCHUN	0.0844491
"Secretary General Esmat Abdel-Meguid"	0.0841707
Kandahar	0.0840092
Shijiazhuang	0.083772
Arusha	0.0836564
Jinan	0.0832981
Lahore	0.0832588
Wuhan	0.0827895
Taiyuan	0.0822047
Dalian	0.0821211
Egypt	0.0820126
Tianjin	0.0819651
TEGUCIGALPA	0.0819532
BRATISLAVA	0.0816039
Ramallah	0.081542
Yemen	0.0814091
Belfast	0.0810572
Luxembourg	0.0804613
Mogadishu	0.0802674
"Ho Chi Minh City"	0.0802171
Maldives	0.0800958
"Cape Town"	0.079694
Kabul	0.0793464
Suva	0.0792455
Monrovia	0.079228
"Sao Paulo"	0.0789674
Xining	0.0787043
Astana	0.0782296
"The Hague"	0.0775779
Dublin	0.0775225
Zhengzhou	0.0771551
Auckland	0.0767479
Kyoto	0.0767426
Karachi	0.076527
Bujumbura	0.0760985
Shenzhen	0.0759649
"Nigerian capital"	0.075815
Chongqing	0.0757308
))
("Abu Dis" (desc 5151.08) (sims
"East Jerusalem"	0.132192
"Har Homa"	0.114961
"Jordan Valley"	0.108778
"Temple Mount"	0.0988289
Belacevac	0.0961435
"another @.@ percent"	0.0953682
Chappaqua	0.0940464
"West Bank"	0.092207
Badme	0.0903709
"Suva Reka"	0.0887164
"Fairfax County"	0.0861461
Brcko	0.0855942
Malisevo	0.0847874
Nabatiyeh	0.0823756
Izmit	0.0819028
"Holy City"	0.0815181
Junik	0.0807556
Carmel	0.0803674
Bethlehem	0.0797534
"Panama Canal"	0.0795388
Kijevo	0.079419
Golan	0.0794038
Kitona	0.0788669
Zhongguancun	0.0777257
"Arab East Jerusalem"	0.0771752
Decani	0.0763624
Vukovar	0.0762514
Panmunjom	0.0761318
Hebron	0.0755534
Jericho	0.0751853
Marjayoun	0.074078
Golcuk	0.0728496
Riverdale	0.0725869
Princeville	0.0725046
"Golan Heights"	0.0710996
Nablus	0.0707664
"Old City"	0.0703574
"holy place"	0.070286
Lockerbie	0.0701799
Galilee	0.0696139
Racak	0.06906
BRIGHTON	0.0668383
Nazareth	0.0664402
Pailin	0.0663803
Argun	0.0663284
Prizren	0.066289
subdistrict	0.065054
Ashkelon	0.0639734
"Kosovo Polje"	0.0636091
Gudermes	0.0629914
Mankulam	0.062987
Kailahun	0.0628362
Baalbek	0.0628274
Englewood	0.0626699
Chatsworth	0.0622398
"Paradise Valley"	0.0619649
Haifa	0.0618718
Jezzine	0.0614758
Cicero	0.0611013
Makeni	0.0610105
"Sinai Peninsula"	0.0609553
Pelham	0.0604205
Alpharetta	0.0600259
Djakovica	0.0600246
township	0.0599632
"Woodland Hills"	0.0599337
Taba	0.0595223
Cordova	0.0594176
Brixton	0.0594084
Naperville	0.0593594
Posoltega	0.0579391
"Mount Pleasant"	0.0578224
Pudong	0.0571182
Carthage	0.0569948
Greenwich	0.0569347
PEC	0.0564027
Shali	0.0563841
Ballymoney	0.0559632
Larnaca	0.0557333
Medina	0.0555595
"Beibu Gulf"	0.0554032
Urosevac	0.0554022
"Nile River"	0.0550646
"Granada Hills"	0.0549066
Eschede	0.054828
Kanungu	0.0547455
Cove	0.0541749
Ramallah	0.0541687
Gnjilane	0.053969
Carrollton	0.0538517
"Del Rio"	0.0537171
Skaneateles	0.0536418
"Dead Sea"	0.0536257
Dundalk	0.0532637
Leawood	0.0531663
riverside	0.0530829
Cyberjaya	0.0530459
"Westchester County"	0.0530214
Evanston	0.0525074
Batticaloa	0.0524151
Amherst	0.0522742
Buckhead	0.0521885
"parcel of land"	0.0519479
Montclair	0.0519411
"Shah Alam"	0.0516192
Ensenada	0.0514519
Nagorno-Karabakh	0.0513677
Tachilek	0.0509943
Orahovac	0.0509911
Limassol	0.0507281
Urus-Martan	0.0506784
"Lake Worth"	0.0504056
Drenica	0.0502669
Kenema	0.0502176
"South Bronx"	0.0499354
"East Los Angeles"	0.0497067
Zhangbei	0.0496991
Oxnard	0.0496908
Prijedor	0.0496465
"Gaza Strip"	0.0494837
LAKEWOOD	0.0493245
Tokaimura	0.0491122
Rafah	0.049057
Jinja	0.0489011
Kukes	0.0488582
Houghton	0.0485878
Lhokseumawe	0.048558
"Jabal Abu Ghneim"	0.0485296
Camden	0.0484843
"Al-Aqsa Mosque"	0.0484505
Walkerton	0.0484478
"Old Town"	0.0483478
Leskovac	0.0482059
"Syrian Golan Heights"	0.0481878
Warri	0.048187
Jenin	0.0480873
"San Fernando Valley"	0.04808
"Van Nuys"	0.0479319
Nago	0.0478318
Surrey	0.0477882
"Oklahoma City"	0.0477451
"Red Hook"	0.0475909
Cargill	0.047587
seaside	0.047432
"La Jolla"	0.0473033
Gaza	0.0472942
Mitrovica	0.0472843
"central city"	0.0472194
Fremont	0.0470229
Barrington	0.0470003
Tarrytown	0.046982
Macoris	0.0469147
Needham	0.0468896
"Al Aqsa Mosque"	0.0468545
"Washington Heights"	0.0467332
Blace	0.0462779
ARCADIA	0.0462469
"Little Havana"	0.0462407
"Borough Park"	0.0461207
"Mount Vernon"	0.046021
Beersheba	0.0458366
Lancaster	0.0457652
Woburn	0.0457394
Plano	0.0455864
"San Pedro"	0.0453296
Poughkeepsie	0.0452858
"about @@@ kilometers"	0.0450687
Makhachkala	0.0449989
Vedeno	0.0448841
"SIERRA BLANCA"	0.0447838
Reseda	0.0446933
Giza	0.0446719
"South Boston"	0.0445186
Bellevue	0.0442933
"Banja Luka"	0.0442879
Smyrna	0.0442311
Malden	0.0440387
Soweto	0.0440203
"San Miguel"	0.0439474
Trincomalee	0.0438898
Piedmont	0.043561
"Quintana Roo"	0.0434272
Dearborn	0.0433994
"national capital"	0.0433705
"Pacific Palisades"	0.0432576
Northland	0.0432467
Xian	0.0430706
Greenville	0.0430481
RAMBOUILLET	0.0430103
"New Rochelle"	0.0429412
Westfield	0.0427062
Port-au-Prince	0.0426912
Ipswich	0.0426251
Gloucester	0.0426131
"Johnson County"	0.0425829
Wallingford	0.0423878
Baidoa	0.0423763
Burbank	0.0423575
Bedford	0.0422679
Tempe	0.0422591
))
("Abu Mazen" (desc 4157.37) (sims
"Mahmoud Abbas"	0.421461
"Nabil Shaath"	0.280971
"Yasser Abed Rabbo"	0.276176
"Oded Eran"	0.257341
"Saeb Erekat"	0.22608
"Ahmed Qureia"	0.219258
"Fehmi Agani"	0.202561
"Martin McGuinness"	0.187429
"Long Yongtu"	0.174233
Erekat	0.168481
Eran	0.163575
"Jaswant Singh"	0.162402
"Robert Aventajado"	0.162354
"George Robertson"	0.16206
"Seamus Mallon"	0.160491
"Minister Shlomo Ben-Ami"	0.157686
"Salim Ahmed Salim"	0.148863
"Yuri Maslyukov"	0.148469
"Mikulas Dzurinda"	0.14843
"Yoshiro Mori"	0.147954
Shaath	0.147155
"Cesar Gaviria"	0.14185
"Dennis Ross"	0.141616
"Anatoly Chubais"	0.141064
"Igor Ivanov"	0.138939
"Faisal Husseini"	0.135211
"Mikhail Kasyanov"	0.133999
"Nur Misuari"	0.133996
"Abu Ala"	0.1332
"Valery Pustovoitenko"	0.132372
"Koo Chen-fu"	0.131633
"Yitzhak Molcho"	0.13047
"Prime Minister Kamal El-Ganzouri"	0.129827
Jayakumar	0.129417
"Frederick Sumaye"	0.129392
"Dai Bingguo"	0.128649
"Lawrence Summers"	0.127745
Ben-Ami	0.127567
"Dore Gold"	0.127425
"Marzuki Darusman"	0.127175
"Goran Persson"	0.126689
al-Khatib	0.126149
el-Baz	0.125694
Abbas	0.12553
"Richie Phillips"	0.125366
"Wlodzimierz Cimoszewicz"	0.124347
"Charlene Barshefsky"	0.122344
Stoyanov	0.120276
"Joel Klein"	0.120141
"Strobe Talbott"	0.119998
el-Ganzouri	0.119802
"Pascoal Mocumbi"	0.118572
"Vaclav Klaus"	0.118425
"Bernard Kouchner"	0.118189
"Javier Solana"	0.117424
Majali	0.114566
"Tin Oo"	0.114284
"Bashkim Fino"	0.114128
"Ivan Kostov"	0.114075
Alatas	0.113257
"Wang Daohan"	0.112214
Solana	0.111452
"Danny Yatom"	0.110737
"Ricardo Alarcon"	0.110335
"Esmat Abdel Meguid"	0.110167
Komura	0.110076
Muoi	0.108602
"William Walker"	0.107917
"Abdul Karim Kabariti"	0.107315
Fino	0.107034
"Cao Zhi"	0.106564
"Khin Nyunt"	0.10626
"John Prescott"	0.106117
Siazon	0.105205
Kabariti	0.104902
Al-Sabah	0.104394
"Abdul Salam Majali"	0.104047
"Yukio Hatoyama"	0.103938
Moratinos	0.103891
"Boris Nemtsov"	0.103761
Lipponen	0.103723
"Milos Zeman"	0.10293
"Le Kha Phieu"	0.102662
"Eisuke Sakakibara"	0.102549
al-Sahhaf	0.102475
"Lee Hsien Loong"	0.102415
"de Charette"	0.10209
"Yossi Beilin"	0.101985
Scalfaro	0.101922
Ahtisaari	0.101655
Mordechai	0.101606
"Hashim Thaci"	0.101512
Gurirab	0.100719
Ruehe	0.100329
"Koichi Kato"	0.100041
"Ariel Sharon"	0.099938
Abdel-Meguid	0.0989611
"Boutros Boutros Ghali"	0.0987924
al-Hariri	0.0987273
Narayanan	0.0984849
"Meles Zenawi"	0.0980717
"Cyril Ramaphosa"	0.0979405
"Stanley Fischer"	0.0979135
Kharrazi	0.0976611
"Christopher Hill"	0.0975297
"Anwar Ibrahim"	0.0972843
Kasoulides	0.0966544
"Antonio Guterres"	0.0961637
"Abdullah Ahmad Badawi"	0.0959857
"Victor Chernomyrdin"	0.0959261
"Lamberto Dini"	0.0955682
"Chavalit Yongchaiyudh"	0.0947915
"Shi Guangsheng"	0.0946177
"Vo Van Kiet"	0.0945407
"Radu Vasile"	0.0940229
"Yossi Sarid"	0.0936878
"Kamal Kharrazi"	0.0931268
"Salim Hoss"	0.092859
Kwasniewski	0.0922583
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0921778
"Supachai Panitchpakdi"	0.0921626
"John Bruton"	0.0920927
"Pandeli Majko"	0.0919864
Zeroual	0.0917649
"Mesut Yilmaz"	0.091699
"Chuan Leekpai"	0.0915967
"Tariq Aziz"	0.0915892
Dini	0.0914754
"Atef Obeid"	0.0910874
"Richard Butler"	0.0910139
al-Shara	0.0909727
"Viktor Chernomyrdin"	0.0908938
al-Sharaa	0.0907604
Juncker	0.0905785
Wolfensohn	0.0905368
"Sepp Blatter"	0.0902719
"Jerzy Buzek"	0.0902155
Hrawi	0.0901963
"De Soto"	0.090108
Khaddam	0.0897643
"Eric Holder"	0.0896089
Rifkind	0.0894379
"Fayez Tarawneh"	0.0894011
"Mike Moore"	0.0893665
"Barry McCaffrey"	0.0893096
"Rolf Ekeus"	0.0891503
"Ismail Cem"	0.0889896
"Wu Yi"	0.0888028
Talbott	0.0886923
"Tang Jiaxuan"	0.0886889
"Robin Cook"	0.0886335
"Xie Zhenhua"	0.0886036
Sharaa	0.0885868
"Secretary General Esmat Abdel-Meguid"	0.0885681
"Secretary General Esmat Abdul-Meguid"	0.0885388
Granic	0.0879601
"Boutros Boutros-Ghali"	0.0877344
"Wolfgang Schaeuble"	0.0876496
"Sadako Ogata"	0.0875104
"David Trimble"	0.0872987
"Jacques Rogge"	0.0872729
Brittan	0.0872247
"Qian Qichen"	0.0871348
Shareh	0.0869991
Ganzouri	0.0869989
Bildt	0.0869682
"Amnuay Virawan"	0.0869379
Nzo	0.086764
Pangalos	0.0862803
Severino	0.0857242
"Kim Yong Nam"	0.085664
Schuessel	0.085357
Klestil	0.0852482
Constantinescu	0.0849323
"Bill Lann Lee"	0.0848917
Councillor	0.0848572
"Krishna Prasad Bhattarai"	0.0848032
Ikeda	0.0845366
Ikimi	0.0844506
Shara	0.0842103
"Benazir Bhutto"	0.0841223
"Carlos Westendorp"	0.0839314
"Rafik Hariri"	0.0839187
"Bertie Ahern"	0.0837699
"Hanan Ashrawi"	0.0837302
"Jenny Shipley"	0.0836171
Hybl	0.0833435
Phieu	0.0828333
Shi	0.082799
"Than Shwe"	0.0827922
Wiranto	0.082492
"Gro Harlem Brundtland"	0.0823015
"Boris Fyodorov"	0.0822612
Bouteflika	0.0822023
al-Sahaf	0.0819207
Velayati	0.0818282
Husseini	0.0818238
"Charles LaBella"	0.0818085
Meguid	0.0817288
negotiator	0.0816637
))
("Abu Musa" (desc 2199.83) (sims
Kyushu	0.160829
Greater	0.156503
"Diaoyu Islands"	0.143278
Batam	0.136192
Malvinas	0.133761
Sipadan	0.133629
Sakhalin	0.133613
Crete	0.129594
"Kuril Islands"	0.11243
Langkawi	0.110647
Pemba	0.109898
Anjouan	0.104727
Phuket	0.104598
Moroni	0.0996931
Bougainville	0.09447
Sulawesi	0.0936143
Gibraltar	0.090189
"St. Helena"	0.0892693
Palawan	0.0889987
islet	0.0884028
Hispaniola	0.0834291
"Falkland Islands"	0.0830739
Kauai	0.0822415
archipelago	0.0800148
curacao	0.0797605
Bakassi	0.0793529
Hokkaido	0.0782197
Borneo	0.077995
"St. Croix"	0.0767663
ZHOUSHAN	0.0757321
Anguilla	0.0753277
Aegean	0.0749909
Montserrat	0.0744023
Luzon	0.074229
Madeira	0.0741692
Comoros	0.0737249
Kalimantan	0.0732068
Guadalcanal	0.0723993
"New Caledonia"	0.0697945
"St. Kitts"	0.0697865
Falklands	0.0688468
Basilan	0.0683422
Sumatra	0.0683138
capri	0.0680345
"St. Maarten"	0.0675835
Instinet	0.0675795
"Bakassi Peninsula"	0.0659194
Zanzibar	0.0657078
Martinique	0.0653151
Oahu	0.0642251
Saipan	0.0631152
"Chek Lap Kok"	0.0628909
Jolo	0.0626157
"New Guinea"	0.0622293
Guadeloupe	0.0621909
Cozumel	0.061123
Amelia	0.0607272
Galapagos	0.0606005
Guernsey	0.0586094
"San Salvador"	0.057878
Moreau	0.0574227
"Three Mile"	0.0568121
Dominica	0.0565068
Corsica	0.0563866
"Arab East Jerusalem"	0.0561951
"St. Lucia"	0.0554273
"Aegean Sea"	0.054324
"Outer Banks"	0.0540397
KO	0.0540073
Mallorca	0.0534007
"St. Thomas"	0.0526935
Aruba	0.0524471
Timor	0.0516727
Nagorno-Karabakh	0.0513652
reef	0.0510491
"Brady Bunch"	0.050891
shoal	0.050544
"Cape Verde"	0.0502316
Chatham	0.0494707
Jekyll	0.0486622
LANIER	0.0473118
"St. Vincent"	0.0472073
"Holy City"	0.0464761
"territorial water"	0.0459754
"South Atlantic"	0.0454608
Nevis	0.0446264
"Western Sahara"	0.0445782
"South Georgia"	0.0432467
"New Territories"	0.0432446
Merritt	0.043111
Simons	0.0430438
"South China Sea"	0.0423446
"John Grisham"	0.0422105
Margarita	0.0417216
"Pulau Pinang"	0.0413741
Miyake	0.0412462
"Western Pacific"	0.0411229
disbanding	0.0410878
Catalina	0.0410128
Tasmania	0.0408411
Sulu	0.040699
atoll	0.0405216
Grenada	0.0404471
))
("Abu Nidal" (desc 1357.56) (sims
Yazdi	0.168546
Shayler	0.16136
Papon	0.138139
"Bin Laden"	0.136105
Imperatori	0.135035
Ghani	0.133129
Montiel	0.127851
Nkabinde	0.122467
snakehead	0.122219
Krstic	0.120687
Lazarenko	0.118225
Cavallo	0.117817
Raduyev	0.117769
Gusinsky	0.115162
Ntakirutimana	0.114798
"Abdullah Ocalan"	0.10976
Kiareldeen	0.109645
Mikhailov	0.107802
Nikitin	0.107287
Montesinos	0.103584
Bove	0.10242
Haouari	0.102333
Laden	0.102118
Osama	0.100494
Sarsour	0.0997388
Ressam	0.0991632
Priebke	0.098966
McWilliams	0.0984823
Ntuyahaga	0.0978682
"Russell Peeler"	0.0966972
Resendez-Ramirez	0.094965
Yadav	0.0941194
Brunner	0.0931543
Francois	0.0920115
Merlino	0.0919004
Trevi	0.0916099
Ocalan	0.0913641
Baumhammers	0.0908393
Carruth	0.0906928
Adair	0.0901112
Karbaschi	0.0900632
Twenty-seven	0.0896743
"Ta Mok"	0.0891714
Oviedo	0.0889709
Al-Amin	0.088747
Babitsky	0.0887336
"Islamic Jihad"	0.0886321
Meskini	0.0885192
Swango	0.0884265
Kimeses	0.0883049
"Raul Salinas"	0.0874718
Einhorn	0.0873052
Kazhegeldin	0.0872572
Lileikis	0.0866449
Hoke	0.0864498
Kopp	0.0856495
"Osama Bin Laden"	0.0850654
Sakic	0.0843927
"Ruiz Massieu"	0.084334
Laudor	0.0841225
Palczynski	0.083762
Sankoh	0.0832793
McCaw	0.0830379
Arizmendi	0.0829577
"Nahdlatul Ulama"	0.0828374
provocateurs	0.0824082
Kovacevic	0.0817522
"Shamil Basayev"	0.0816833
peeler	0.0815056
Carmichael	0.0814743
"Black Panther"	0.0814701
Faget	0.0813547
Media-MOST	0.0805929
"Del Toro"	0.0804603
Musa	0.0798713
"El Hage"	0.0798478
Twenty-five	0.0794688
Mitterrand	0.0794266
"Sam Rainsy"	0.0793977
Zhivkov	0.0792294
EPR	0.0791385
Speight	0.0791029
Hensley	0.0780978
Hofer	0.0778963
Mokhehle	0.0777472
Farrakhan	0.0774197
Basayev	0.077334
Aliyev	0.0771747
Savimbi	0.0770559
Battie	0.0764842
GSS	0.076354
Hage	0.0763034
Gravano	0.0762414
Jakob	0.0761822
Matasareanu	0.0758969
Kalejs	0.0755711
Meston	0.0755574
Shipman	0.075376
Yates	0.0752798
Salim	0.0751647
Paciello	0.0747603
Gantamirov	0.0745742
Natale	0.0745241
Stayner	0.0743662
"second person"	0.0741403
Kaunda	0.0740166
Kromah	0.0739789
Zarb	0.0733366
Rifaat	0.0733311
Koresh	0.0732083
Fagan	0.0730228
Unabomber	0.0726545
Krajisnik	0.0722619
PLN	0.0718121
Aleman	0.0715664
Isner	0.0715528
Kony	0.071468
Nebiolo	0.0713404
Lundy	0.0710559
Noriega	0.0706251
Manbar	0.0706066
Masur	0.0704419
Kesri	0.0704364
Mladic	0.0702504
Masire	0.07021
Berisha	0.0701248
"American Jewish"	0.0700168
Mcbride	0.0697302
Maoist	0.0692981
UNIDO	0.0691792
noncitizens	0.0690238
Soto	0.0689131
Cepeda	0.0688895
YankeeNets	0.0686428
Roque	0.0685828
Sebaggala	0.068466
Murdoch	0.0683634
Agca	0.0683155
Khalil	0.0680051
ETA	0.0679011
"Roosevelt Johnson"	0.0675162
Karadzic	0.0673254
twenty-two	0.0671541
Larsen	0.0669721
Amway	0.0668504
McConaughey	0.0667141
Dutchmen	0.0666967
Nano	0.0666598
pedophile	0.0663435
prentice	0.066189
stone-throwers	0.0661573
McDuff	0.0660584
Frankel	0.0658437
Sheldon	0.0657982
Villar	0.0657471
"Perez Balladares"	0.0657397
EOHR	0.0656931
Yassin	0.0656188
Ibrahim	0.0655196
Trie	0.0654716
Pagones	0.0653901
Giacchetto	0.0652134
Chabot	0.0651041
Chevenement	0.0650094
D'Amico	0.0649432
NGO	0.0646907
"Iranian Jews"	0.064652
McVeigh	0.0644302
Salinas	0.0637702
NLRB	0.0635521
Faulder	0.0635412
Midler	0.0634352
Sheehan	0.0634242
Baez	0.0633947
Bedell	0.0633154
Craxi	0.063254
"Suu Kyi"	0.0630968
Arab-American	0.0630458
rustler	0.062817
Postel	0.0627282
Hamas	0.0627053
Whaley	0.0625698
Galvin	0.0625359
Maradona	0.0623927
Ochoa	0.0623384
"foster mother"	0.0622467
Ghalib	0.0621455
Karmapa	0.0621385
racketeer	0.0621289
Goldberg	0.0621124
Veerappan	0.0620985
Gusmao	0.0620057
Dalai	0.0618749
Morgenthau	0.0617576
Havel	0.0617135
Winn	0.061661
Goodrich	0.0615933
Siripongs	0.0613886
"William Walker"	0.0610894
Blackthorne	0.0610776
))
("Abu Sayyaf" (desc 16922.4) (sims
NPA	0.219621
"Moro Islamic Liberation Front"	0.20921
kidnapper	0.18866
MILF	0.181331
"Moro National Liberation Front"	0.171207
LRA	0.16653
OPM	0.164605
"New People's Army"	0.155781
"National Democratic Front"	0.145144
rebel	0.141062
RUF	0.140052
abductor	0.137727
guerrilla	0.137673
"Islamic Jihad"	0.136542
"Lord's Resistance Army"	0.133845
LTTE	0.131098
NDF	0.131053
ETA	0.129657
"Kosovo Liberation Army"	0.127472
separatist	0.126432
MNLF	0.125429
"Revolutionary Armed Forces"	0.125226
"National Liberation Army"	0.124351
bandit	0.124264
extremist	0.124045
ELN	0.121147
"Armed Islamic Group"	0.120275
"Tupac Amaru Revolutionary Movement"	0.120047
"Liberation Tigers of Tamil Eelam"	0.119618
gunmen	0.11921
KLA	0.117415
"Revolutionary United Front"	0.115053
Hezbollah	0.115048
"Liberation Tigers"	0.114715
FARC	0.11428
Sipadan	0.113874
insurgent	0.11062
"Allied Democratic Forces"	0.110572
MRTA	0.107071
Hamas	0.106425
PKK	0.106055
captor	0.104719
"Real IRA"	0.104634
militant	0.104155
militia	0.10115
WNBF	0.101145
Taliban	0.0998038
ADF	0.0978698
Amal	0.0975141
UNITA	0.0971381
secessionist	0.0959474
MQM	0.0936916
KNU	0.0934188
Chechen	0.0929798
"Sudan People's Liberation Army"	0.0928881
terrorist	0.0918612
fundamentalist	0.0917818
mujahedeen	0.0912343
"Khmer Rouge"	0.0898169
tribesmen	0.0891213
Jolo	0.0889869
"Zapatista National Liberation Army"	0.0842115
SPLA	0.0830553
Hijacker	0.0822812
hostage	0.0818219
Talipao	0.0800894
gang	0.0794683
lair	0.0789064
"Hezbollah (Party"	0.0786132
"Congolese Rally"	0.0781541
"Irish Republican Army"	0.0776741
RCD	0.076993
"Resistance Army"	0.0767493
Hezb-i-Islami	0.0761446
militiamen	0.0757759
guerilla	0.075138
faction	0.0750048
MKO	0.0749343
"Lebanese Hezbollah"	0.0747626
Zapatistas	0.0744842
"Muslim Brotherhood"	0.074163
Renamo	0.0734394
Albanian	0.0731661
"Kurdish Workers"	0.0731544
RRA	0.0726187
Speight	0.0713633
"Albanian Kosovo Liberation Army"	0.071071
Kamajors	0.070936
FALN	0.0709315
Zapatista	0.0705013
"Iraqi National Congress"	0.0703861
commando	0.0695813
GIA	0.0690075
EPR	0.0682248
paramilitary	0.0682158
"Kosovo Albanian"	0.067972
Kurdish	0.0677453
army	0.0673077
Kurds	0.0672028
SLA	0.0666193
"Shiite Muslim"	0.066201
Fatah	0.065925
Muslim	0.0658778
"Nahdlatul Ulama"	0.0657615
hostage-takers	0.0651047
assailant	0.0650799
"National Union"	0.0650255
hideout	0.0644856
Laden	0.0632543
"Aum Shinrikyo"	0.0632412
IRA	0.0630251
"popular front"	0.0628992
Klan	0.0624413
Dostum	0.0624069
Kurd	0.0616484
Islamists	0.0611051
Serbs	0.060942
"Islamic Movement"	0.0608345
attacker	0.0608329
Moro	0.0605122
UNP	0.0605111
"Afghan Taliban"	0.0602495
squatter	0.0601222
captive	0.0600749
Filipino	0.0599603
"National Front"	0.0597835
Greenpeace	0.0596313
Maoist	0.0595351
Palczynski	0.0595191
"Islamic Resistance Movement"	0.0592113
Hutu	0.0590861
"security force"	0.0586333
Interahamwe	0.0585246
Chechens	0.058169
leftist	0.0578043
"Liberation Army"	0.057613
"Polisario Front"	0.0575344
Marcoses	0.0565052
junta	0.0559592
Banyamulenge	0.0557714
Gadhafi	0.0557309
"Turkish Cypriots"	0.0556375
NLD	0.0550877
IFP	0.0549048
robber	0.05487
"Ku Klux Klan"	0.0548335
Histadrut	0.0544443
Shas	0.0544096
"Islamic Salvation Front"	0.0543811
vigilante	0.054301
"Northern Alliance"	0.0541956
pro-British	0.0541202
"Kosovo Albanians"	0.0540684
PLO	0.0539913
settler	0.0539674
Palestinian	0.0538756
pirate	0.0536854
"Amnesty International"	0.0536142
radical	0.0535367
"Bosnian Serbs"	0.0533853
"Kurdish Workers Party"	0.053326
BSF	0.0532157
"African National Congress"	0.0531379
"National Union for Total Independence"	0.0531145
"China Democracy Party"	0.0530702
UAW	0.053007
sect	0.0529656
"Osama Bin Laden"	0.0529625
"Pakistan Muslim League"	0.0528602
NRP	0.0528397
"Kurdistan Workers Party"	0.0528344
Basilan	0.0526911
"Ethnic Albanian"	0.0524971
Mujahideen	0.0524874
Otpor	0.0524731
insurgency	0.0523694
ANC	0.0523592
supremacist	0.052342
"labor union"	0.0522759
mutineer	0.0521371
"Orange Order"	0.0521368
"Kosovar Albanians"	0.0518831
"Log Cabin Republicans"	0.0518072
"Palestine Liberation Organization"	0.051553
"Aryan Nations"	0.0513067
NDA	0.0511197
Bolshevik	0.0509583
Shiite	0.0508302
"National Democratic Alliance"	0.050697
unionist	0.0506804
nationalist	0.0506453
Kashmiri	0.0506109
Denktash	0.0503896
Malaysian	0.0503111
infiltrator	0.0502593
PNA	0.0501395
Sulu	0.0500195
dissident	0.049446
"Sam Rainsy Party"	0.0493695
Abubakar	0.0492814
))
(Abu-Jamal (desc 3210.06) (sims
Faulder	0.195815
LeFave	0.165844
Berenson	0.16292
Mease	0.159482
McGinn	0.144349
"Russell Peeler"	0.137472
Gauthe	0.135062
Symington	0.130169
Kaczynski	0.127778
Capano	0.124763
McVeigh	0.123868
peeler	0.123669
"Louise Woodward"	0.122872
Robison	0.122148
Lacresha	0.121416
Tarver	0.120756
"Maturino Resendiz"	0.120636
Garza	0.120109
Deri	0.120097
Reimer	0.119399
Nikitin	0.115783
Manbar	0.111881
KEVORKIAN	0.11111
Abernathy	0.110761
Martorano	0.110029
Skakel	0.108032
Maharaj	0.107933
"Mumia Abu-Jamal"	0.107801
Kiareldeen	0.107759
Siripongs	0.10718
Schmitz	0.107088
Stayner	0.106657
Kurth	0.105214
Rideau	0.104961
Coe	0.10434
Shayler	0.103003
Einhorn	0.102592
Walser	0.102357
Yoo	0.100382
Espinoza	0.100261
Markhasev	0.0994226
Harris-Lewis	0.0992213
Jewell	0.097887
Ntakirutimana	0.0978098
Hsia	0.0976143
Hofer	0.0974094
Blackthorne	0.0964788
Pollard	0.0963462
Neulander	0.095942
hale	0.0953298
Sheppard	0.0952719
Falater	0.0949727
Schwarz	0.0949637
Sebaggala	0.0934768
Zamora	0.0932893
Graham	0.0931096
Agca	0.0925997
Echegaray	0.0925526
Jelisic	0.0920468
Lindland	0.0918291
Mitnick	0.0911124
Bakaly	0.090527
Farris	0.0904579
Karbaschi	0.0902
Cayugas	0.0901793
"Michael Skakel"	0.0894599
Sheinbein	0.0891299
McKinney	0.0886825
Papon	0.08858
workman	0.0885691
McWilliams	0.0873473
Anwar	0.0867161
Woodward	0.0857789
Harrelson	0.0855147
Akayesu	0.0853234
Murr	0.0851278
Jenoff	0.0846474
Laudor	0.0846411
Shulman	0.084595
Kodikian	0.0843834
Cheung	0.0841921
Ng	0.0840426
Al-Amin	0.0836019
Fagan	0.083456
Bove	0.0833925
"Al Fayed"	0.0832932
Mehmet	0.0830545
"David Graham"	0.082558
Cisneros	0.0823786
Espy	0.0822251
McDougal	0.0820147
Shipman	0.0820034
Idris	0.0819794
Khalil	0.0819174
Lileikis	0.0818786
Nasrin	0.0816979
Livoti	0.0815178
Hagelin	0.0803116
Pinochet	0.0800787
Kehoe	0.079198
Cavallo	0.0791177
Boesak	0.0790301
Haughey	0.0780167
Baumhammers	0.0778577
Mudge	0.0777602
Ramseys	0.0769306
Ickes	0.0768214
Nader	0.0763634
Brownlee	0.0760215
Trantino	0.0759718
Hensley	0.0758166
Grossberg	0.0753092
Megret	0.0750504
Sezer	0.0749879
Hinckley	0.0747358
Adair	0.074697
Gritz	0.0745178
Gutman	0.0744812
Babbitt	0.0744647
Hirschfeld	0.07437
Priebke	0.0743673
Slaney	0.0740264
Salemme	0.0738882
Schweitzer	0.0737559
Sharpton	0.073701
Raduyev	0.0735357
LaPierre	0.0735053
Alioto	0.0734228
furrow	0.0730555
Gantamirov	0.0728963
Eappens	0.0728433
"Food Lion"	0.0727934
Caldera	0.0727318
"Gary Graham"	0.072672
Kimeses	0.0722771
"Jack Kevorkian"	0.0715072
Vasquez	0.0714788
Mauro	0.0712341
Gotti	0.0712272
Luethke	0.0711209
Lazarenko	0.0710743
Nathaniel	0.0710259
Karr	0.0709606
Caddell	0.0707404
Kimes	0.0705689
"Maturino Resendez"	0.0705604
Dokmanovic	0.070478
Valenzuela	0.070455
looper	0.0704508
Ramsey	0.0703149
Keating	0.0697175
"Ruiz Massieu"	0.0694418
Hamlin	0.0693669
Kinkel	0.0693199
Herrera	0.0693138
Copeland	0.069156
Beckwith	0.0689093
Merritt	0.0686114
Ocalan	0.0684936
Sweeting	0.0683806
Imelda	0.0681709
Demjanjuk	0.0680615
Barnum	0.0679703
Lim	0.0676714
Hoke	0.0674142
"Wen Ho Lee"	0.0671069
Yadav	0.0670457
Gargan	0.066855
Lombardi	0.06661
Gusinsky	0.0664149
Liggett	0.0664118
Boyle	0.0663244
Fortier	0.0661633
Farrakhan	0.0661548
McIntosh	0.0660112
Farber	0.0657392
Kolbe	0.0655442
Soliah	0.0654189
Swango	0.0653739
Bhutto	0.0653589
Sakic	0.0653342
Cusack	0.0649558
Boehner	0.064934
Barrionuevo	0.064844
Bonner	0.064617
Shoate	0.0645884
"Raul Salinas"	0.064289
Bruder	0.0641006
Diaz	0.0639572
Fonda	0.0637787
Kornberg	0.0636864
Batouty	0.0634589
Tevanian	0.0633128
Cheng	0.0632287
Callaghan	0.0630921
Kostunica	0.0630867
Lugo	0.0630732
Sotomayor	0.0629561
Pryor	0.0626942
Serna	0.0624791
))
(Abubakar (desc 10358.6) (sims
"Abdulsalam Abubakar"	0.246545
"Abdulsalami Abubakar"	0.220084
Obasanjo	0.177913
Musharraf	0.177709
Chiluba	0.173912
Abacha	0.167414
Moi	0.162437
Habibie	0.160056
"Atal Bihari Vajpayee"	0.156367
"Olusegun Obasanjo"	0.15593
Mkapa	0.154858
Komura	0.154297
Guterres	0.153607
Rakhmonov	0.152599
Vajpayee	0.152521
"Chuan Leekpai"	0.150011
"Than Shwe"	0.149566
Gujral	0.149137
Kuchma	0.148451
Hasina	0.14529
Ecevit	0.145254
Buyoya	0.145039
Stoyanov	0.143648
Nazarbayev	0.143171
Pastrana	0.141636
Museveni	0.141531
"Chavalit Yongchaiyudh"	0.141428
Cem	0.141283
"Sani Abacha"	0.140979
Bouteflika	0.140612
D'Alema	0.140219
Hashimoto	0.140205
Primakov	0.13993
Mugabe	0.139492
"Yoshiro Mori"	0.139349
Solana	0.138582
Constantinescu	0.137849
Mbeki	0.137529
Estrada	0.136835
Chavalit	0.136721
"William Cohen"	0.136509
Jospin	0.135979
"de Charette"	0.135813
Mandela	0.135705
Sharif	0.135643
Chirac	0.135544
Ikeda	0.135091
Clerides	0.134072
Klima	0.13385
"Javier Solana"	0.133752
"Maung Aye"	0.132928
Simitis	0.132724
Wolfensohn	0.13246
Chuan	0.13199
Malu	0.131942
Santer	0.131798
Lahoud	0.131606
Camdessus	0.131412
Tung	0.131344
Abdullah	0.131055
Stepashin	0.130893
Aznar	0.130737
Wahid	0.130658
Putin	0.130252
Aziz	0.129926
Azad	0.129603
Menem	0.129516
Hariri	0.129451
Koroma	0.12921
Chissano	0.129097
Barak	0.128745
Annan	0.128626
Deuba	0.128444
Khatami	0.127846
Obuchi	0.127721
Velayati	0.127524
Kiriyenko	0.127495
Tarawneh	0.127312
"Romano Prodi"	0.127158
Weizman	0.126938
"Mesut Yilmaz"	0.126627
Sergeyev	0.126523
Demirel	0.12619
"Pervez Musharraf"	0.125975
Ivanov	0.125275
Banharn	0.125272
Chretien	0.12516
"Nawaz Sharif"	0.125135
Kostov	0.124952
"Meles Zenawi"	0.124849
Prodi	0.124847
Goh	0.124776
Meles	0.124614
Mubarak	0.12451
Pangalos	0.124096
"President Kim Dae-jung"	0.124049
Scalfaro	0.123554
Kharrazi	0.123414
Rua	0.123391
Rifkind	0.12318
Yeltsin	0.123059
Nujoma	0.122756
Zedillo	0.122699
Jayakumar	0.122542
Zhu	0.122397
al-Bashir	0.122242
Gowda	0.122197
Yilmaz	0.122078
"Yevgeny Primakov"	0.121893
Pustovoitenko	0.121648
"Kofi Annan"	0.120581
Ikimi	0.120289
Pickering	0.12027
"Lionel Jospin"	0.12016
Sumaye	0.119881
"Ehud Barak"	0.119653
Dini	0.119635
"Ryutaro Hashimoto"	0.11921
Zeroual	0.118855
"King Abdullah"	0.118566
Qian	0.118522
Alatas	0.118521
"Atal Behari Vajpayee"	0.118503
Dehaene	0.118288
Wiranto	0.118254
"Costas Simitis"	0.11787
Khamenei	0.117826
Zou	0.117385
Koirala	0.117315
Lukashenko	0.117186
Mori	0.117069
Majali	0.11674
Erbakan	0.116408
Blair	0.115647
Arafat	0.115595
Ramos	0.115397
Ogata	0.115157
Kinkel	0.11474
Moratinos	0.114613
"John Major"	0.114613
"King Abdullah II"	0.114589
Albright	0.114522
Nzo	0.114174
Kasoulides	0.113826
Ahern	0.113808
"Rafik Hariri"	0.113793
"Robert Guei"	0.113666
Schroeder	0.113654
"Chea Sim"	0.113503
"Bulent Ecevit"	0.113408
al-Assad	0.113271
"De Soto"	0.112949
Mahathir	0.112739
president-elect	0.112568
"Deve Gowda"	0.112463
Fujimori	0.112398
Ruehe	0.112173
Muluzi	0.112019
Kwasniewski	0.111847
Shevardnadze	0.111695
Orban	0.111635
Phieu	0.111515
"Jordanian King Abdullah Bin Hussein"	0.111437
"Pandeli Majko"	0.111107
Boueiz	0.110743
Rafsanjani	0.110682
Narayanan	0.110677
Peres	0.110407
"Jean Chretien"	0.110328
"Sheikh Hasina"	0.110314
"Khin Nyunt"	0.110131
"Prime Minister Banharn Silpa-Archa"	0.110063
Holl	0.109931
Ahtisaari	0.10978
Netanyahu	0.109743
Rabbani	0.109294
Kabariti	0.109239
Mordechai	0.109161
Soeharto	0.10914
Gaddafi	0.108908
Kabbah	0.108643
Arens	0.108332
Gadhafi	0.108282
Moussa	0.108226
"Klaus Naumann"	0.107959
Shareh	0.107668
"Salim Hoss"	0.107414
Vasile	0.107385
Akayev	0.107186
Vedrine	0.107178
"H.D Deve Gowda"	0.107144
Axworthy	0.106882
al-Sharaa	0.106823
Denktash	0.106778
Guei	0.106718
Cohen	0.106691
Abdel-Meguid	0.106643
Surin	0.106392
Khaddam	0.106327
"John Howard"	0.106253
"Hun Sen"	0.106094
"Vo Van Kiet"	0.10605
Assad	0.105964
"Keizo Obuchi"	0.105924
Brahimi	0.105547
Juppe	0.104946
"Vladimir Putin"	0.10485
"Tony Blair"	0.104664
Kumaratunga	0.103755
Bhattarai	0.103659
Zuma	0.103537
"Lawrence Summers"	0.103534
Aleman	0.103437
Khai	0.103188
Mandelson	0.103139
"military leader"	0.102959
"Goh Chok Tong"	0.102927
Maskhadov	0.102897
"Kim Jong Il"	0.102702
"Oladipo Diya"	0.102286
Jiang	0.102271
"Benjamin Netanyahu"	0.102244
Buzek	0.102242
Brundtland	0.102014
Fischer	0.101633
Leghari	0.101408
Saleh	0.101325
"Binyamin Netanyahu"	0.101228
Nasrallah	0.101042
"Benazir Bhutto"	0.101025
"Zhu Rongji"	0.100973
Blatter	0.100891
Karimov	0.100842
"Inder Kumar Gujral"	0.100784
Fu	0.100668
Cardoso	0.10051
"Chief Executive Tung Chee-hwa"	0.100471
"William Perry"	0.100074
"Li Peng"	0.100012
))
(Abuja (desc 29663.6) (sims
Accra	0.200384
Lagos	0.195204
Lome	0.184253
Lusaka	0.177688
Pretoria	0.17335
HARARE	0.173024
Windhoek	0.169886
Gaborone	0.160779
Nairobi	0.157035
MAPUTO	0.15687
Luanda	0.156583
CAIRO	0.154317
Tbilisi	0.153953
"Addis Ababa"	0.148369
Riyadh	0.147796
Monrovia	0.146828
Arusha	0.145817
Yaounde	0.144649
BRUSSELS	0.144607
"Kuala Lumpur"	0.144148
Maseru	0.143316
Geneva	0.142551
"Cape Town"	0.141468
Doha	0.140494
Islamabad	0.139059
Conakry	0.138429
Mbabane	0.137997
MANAMA	0.13608
Kigali	0.134469
Tripoli	0.133688
"Nigerian capital"	0.133582
"Dar es Salaam"	0.133496
Amman	0.132875
Rabat	0.132054
Oslo	0.131885
Dushanbe	0.131729
Algiers	0.131631
KAMPALA	0.131268
LISBON	0.129553
Bonn	0.129414
Sarajevo	0.129246
Asmara	0.128961
Damascus	0.127821
Ouagadougou	0.127803
"New Delhi"	0.126999
Kaduna	0.126755
Jakarta	0.124875
Tehran	0.124517
Durban	0.123278
Abidjan	0.122881
Manila	0.122218
Tashkent	0.121698
Vienna	0.120736
Belfast	0.120665
BRASILIA	0.120186
JOHANNESBURG	0.119953
Bishkek	0.119664
Havana	0.11943
"Abu Dhabi"	0.11905
ANKARA	0.118975
KIEV	0.11868
Helsinki	0.118557
Freetown	0.11829
Vilnius	0.118251
TUNIS	0.117792
Khartoum	0.117632
ZAGREB	0.117335
SEOUL	0.116916
HANOI	0.116911
BEIJING	0.116338
Kinshasa	0.115859
Bangkok	0.115778
CARACAS	0.115434
Muscat	0.11536
Vientiane	0.11533
DHAKA	0.115215
Gaza	0.114805
Istanbul	0.112522
Skopje	0.112487
Jeddah	0.112418
Dakar	0.112099
Dublin	0.111826
Moscow	0.111812
COLOMBO	0.111729
Minsk	0.111495
TIRANA	0.111401
"Phnom Penh"	0.111135
Lahore	0.111068
Beirut	0.110971
Ramallah	0.110389
Pristina	0.110237
Cartagena	0.110102
Bamako	0.109769
Ashkhabad	0.109481
Bujumbura	0.108256
Madrid	0.107728
PYONGYANG	0.107457
Paris	0.107134
Berlin	0.106609
Dili	0.106392
"Banja Luka"	0.106147
"Tel Aviv"	0.105605
Srinagar	0.105386
Chisinau	0.105351
Lausanne	0.104816
Kabul	0.104313
YANGON	0.104297
BOGOTA	0.103877
BUCHAREST	0.103747
Kandahar	0.103689
Baku	0.103127
Baghdad	0.100995
BELGRADE	0.100656
BRATISLAVA	0.100339
"Port Harcourt"	0.100314
SOFIA	0.0995483
Ljubljana	0.0992751
SANAA	0.0986895
Yerevan	0.0986484
Dodoma	0.0983801
Santiago	0.0980537
WARSAW	0.0978698
Astana	0.097091
LONDON	0.0954435
Rome	0.095115
"Mexico City"	0.0951036
Libreville	0.0949536
NICOSIA	0.0947115
Lubumbashi	0.094462
Tokyo	0.0942881
STOCKHOLM	0.0931862
BUDAPEST	0.0929721
Ndola	0.0923906
Suva	0.0921812
Auckland	0.0920083
Prague	0.0919549
Kyoto	0.0917989
Sirte	0.0914709
Washington	0.0910467
ATHENS	0.0903008
Togo	0.0901496
Ibadan	0.0900085
Zurich	0.0899276
Mogadishu	0.0897839
Strasbourg	0.0895565
Peshawar	0.0894567
Asuncion	0.0892594
Bern	0.0888402
Luxembourg	0.0874311
"Egyptian capital"	0.0873242
Karachi	0.0870464
Podgorica	0.087002
BLANTYRE	0.0869647
Davos	0.0868846
Edinburgh	0.0864036
Kathmandu	0.0862066
"Buenos Aires"	0.0859687
Mombasa	0.0858631
Chennai	0.0853603
Kano	0.0852607
Ottawa	0.0850652
capital	0.0850338
Kunming	0.0849535
"CHIANG MAI"	0.0839918
el-Sheikh	0.0838659
Lima	0.0830266
Duesseldorf	0.0829365
JERUSALEM	0.0829167
TEGUCIGALPA	0.0827364
Copenhagen	0.0826991
Cologne	0.0823424
Amsterdam	0.0821811
Bangui	0.0817304
"Santo Domingo"	0.0817217
Kuching	0.0816328
Managua	0.0816219
"Siem Reap"	0.0808957
Reykjavik	0.0808122
"Sierra Leone"	0.0799569
Canberra	0.0798939
Calcutta	0.0796796
Lhasa	0.0791626
RAMBOUILLET	0.0787176
Nigeria	0.078299
Frankfurt	0.0779451
Cardiff	0.07788
PALERMO	0.0774468
Quito	0.0773296
"St. Petersburg"	0.077111
Alexandria	0.0769583
Munich	0.0759598
MELBOURNE	0.0758291
Vladikavkaz	0.0757437
Singapore	0.0755109
Tallinn	0.0752277
Honiara	0.0751898
Taipei	0.0748905
Warri	0.0747952
"Gaza City"	0.0745831
Jayapura	0.0741481
))
(abundance (desc 20456.7) (sims
dearth	0.0926809
plenty	0.0896693
scarcity	0.089635
quantity	0.0863042
plethora	0.0796387
concentration	0.0768504
profusion	0.0760943
glut	0.0758994
array	0.0744888
wealth	0.0739416
amount	0.073259
trove	0.0728461
variety	0.0721543
availability	0.0719008
paucity	0.0718549
shortage	0.0705661
richness	0.0695656
lode	0.0694962
assortment	0.0678969
Proliferation	0.064715
lot	0.0643082
diversity	0.0639869
density	0.0624431
freshness	0.0594511
oversupply	0.0586633
influx	0.0582701
"two million tons"	0.057424
popularity	0.0573838
breadth	0.0571279
cornucopia	0.057034
"large number"	0.0569172
depth	0.0565501
combination	0.0564995
collection	0.0552922
overabundance	0.0543713
utilization	0.0542735
"treasure trove"	0.0536807
insufficiency	0.0534743
"rapid growth"	0.0529472
strength	0.0526786
beauty	0.052481
ton	0.0522909
bounty	0.0519096
scad	0.0512818
"more than @@,@@@ tons"	0.0511979
preservation	0.0509746
outpouring	0.0508071
"more than @,@@@ tons"	0.0506248
vastness	0.0503081
handful	0.0500694
"full complement"	0.0500392
fullness	0.0500346
cluster	0.0492159
"whole lot"	0.0491996
elegance	0.0491219
proportion	0.0490409
sophistication	0.0488325
imbalance	0.0485338
"about @,@@@ tons"	0.0485327
degradation	0.0484623
"economic value"	0.0483998
expanse	0.0481777
depletion	0.0481505
complexity	0.0481363
absence	0.0480021
enormity	0.0478872
specie	0.0478211
panoply	0.0476598
consumption	0.0476114
originality	0.0474689
juxtaposition	0.04742
newness	0.0471997
slew	0.0471314
"rising prices"	0.047088
preponderance	0.0470365
emergence	0.0469522
"about @@,@@@ tons"	0.0469486
distribution	0.0469251
excess	0.0469111
accumulation	0.046897
blend	0.0466526
disparity	0.0466064
clump	0.0465276
volume	0.0464695
pile	0.0464684
immensity	0.046369
proximity	0.0463144
flux	0.0460665
clarity	0.0459857
surfeit	0.0458979
volatility	0.045839
simplicity	0.0458253
infusion	0.0456958
characteristic	0.0456816
Openness	0.045651
inequality	0.0456309
confluence	0.0455649
existence	0.045472
affordability	0.0454446
luxury	0.0454023
spurt	0.0451945
mixture	0.0451363
sliver	0.0449016
multitude	0.044893
likelihood	0.0448032
aggregation	0.0447586
discovery	0.0447534
assemblage	0.0447285
sampling	0.0446968
storehouse	0.0446853
talent	0.0444901
inventory	0.0444647
intake	0.0443795
windfall	0.0441924
Vista	0.044147
affluence	0.0439572
intensity	0.0438409
vitality	0.043674
clout	0.0435718
vigor	0.0435357
evolution	0.04337
isolation	0.0433338
riches	0.0432397
generosity	0.0430729
resiliency	0.0429212
shade	0.0428935
prosperity	0.0427663
cache	0.0427063
erosion	0.0426283
uniqueness	0.0425415
productivity	0.0422821
bunch	0.0422539
Compendium	0.0422071
texture	0.042145
habit	0.0421436
tangle	0.0421199
myriad	0.0420869
layer	0.0420832
athleticism	0.0420371
vacuum	0.0420025
purity	0.0419631
scenery	0.0419564
specimen	0.0418979
importation	0.0418202
resurgence	0.0417615
"high level"	0.041746
glamour	0.0417116
insecurity	0.0415766
chunk	0.0415751
output	0.0415684
composition	0.0415512
batch	0.0415391
rediscovery	0.0414739
flavor	0.041302
"good fortune"	0.0412809
fossil	0.0412317
"natural resource"	0.0412292
resilience	0.0412002
description	0.0411765
landscape	0.0410747
exploitation	0.0410154
dose	0.0409933
flowering	0.0409925
splendor	0.0409388
bonanza	0.0409066
inability	0.0408555
exploration	0.0408119
slowdown	0.0408114
"good deal"	0.0407095
maturity	0.0406543
geography	0.0406494
Creativity	0.0406278
deprivation	0.0406182
convenience	0.0406062
mastery	0.0405965
selection	0.0405681
stature	0.0405083
sight	0.0405064
scope	0.0404501
rebirth	0.0404348
attractiveness	0.0404112
"how much"	0.0403823
professionalism	0.0402697
Invention	0.040188
deluge	0.0401821
specificity	0.0401532
efficiency	0.0401317
climate	0.0401307
))
(abuse (desc 100547) (sims
corruption	0.241964
violation	0.237188
harassment	0.231218
fraud	0.221265
torture	0.217269
crime	0.216472
discrimination	0.21358
misconduct	0.213524
violence	0.212047
rape	0.211056
brutality	0.203971
atrocity	0.197426
theft	0.191571
misuse	0.184303
kidnapping	0.18281
wrongdoing	0.180683
irregularity	0.180154
bribery	0.178868
"sexual harassment"	0.178738
mistreatment	0.173447
"child abuse"	0.17268
murder	0.171067
"sexual assault"	0.170411
persecution	0.169304
repression	0.16862
killing	0.167434
neglect	0.160208
terrorism	0.160081
racism	0.158936
assault	0.158578
mismanagement	0.15403
genocide	0.151737
intimidation	0.151455
"war crime"	0.151322
extortion	0.150388
"money laundering"	0.14956
injustice	0.149416
espionage	0.149401
embezzlement	0.148635
conduct	0.148368
trafficking	0.147394
beating	0.14532
exploitation	0.145191
"tax evasion"	0.144694
conspiracy	0.144633
"drug abuse"	0.142855
negligence	0.141905
perjury	0.141831
behavior	0.141535
"drug trafficking"	0.140857
smuggling	0.140739
massacre	0.138403
looting	0.138081
molestation	0.136988
"drug use"	0.136038
abduction	0.133694
graft	0.133328
prostitution	0.13264
piracy	0.1326
attack	0.131009
infringement	0.13079
manipulation	0.13045
sodomy	0.129397
malpractice	0.128699
act	0.128053
failure	0.127492
robbery	0.12674
oppression	0.126672
aggression	0.126237
vandalism	0.124406
homicide	0.122798
burglary	0.122709
breach	0.122478
obstruction	0.122156
cruelty	0.120918
use	0.120905
activity	0.120833
impropriety	0.120575
problem	0.119662
tampering	0.11953
misdeed	0.118982
incident	0.118384
arson	0.117002
scandal	0.116974
bias	0.116641
interference	0.116623
coercion	0.116609
suicide	0.116308
practice	0.115972
"insider trading"	0.114997
incompetence	0.114945
action	0.114365
racketeering	0.114173
poverty	0.114133
allegation	0.112811
involvement	0.112628
threat	0.112251
bombing	0.111114
dereliction	0.111059
destruction	0.110944
"election fraud"	0.110943
assassination	0.110815
suffering	0.110512
Death	0.110083
blackmail	0.109542
hijacking	0.108086
treason	0.107958
terror	0.107916
disaster	0.107272
incest	0.107153
forgery	0.10693
arrest	0.106878
"organized crime"	0.106657
"armed robbery"	0.106578
spying	0.106466
adultery	0.10636
unrest	0.106346
accusation	0.106264
hardship	0.10605
infraction	0.105836
sabotage	0.105731
charge	0.104806
illness	0.104622
maltreatment	0.104052
shooting	0.103903
instability	0.103529
conflict	0.102977
slaying	0.102765
disease	0.102128
pollution	0.102109
dumping	0.102102
damage	0.1021
seizure	0.101874
accident	0.101166
felony	0.100936
disappearance	0.10078
cover-up	0.10061
betrayal	0.100542
vote-buying	0.100471
cleansing	0.100415
mistake	0.0998724
Execution	0.09969
slavery	0.0995091
degradation	0.0994981
shortage	0.0990989
humiliation	0.0990973
tragedy	0.0987925
leak	0.0986876
manslaughter	0.0984091
mutilation	0.0983907
lawlessness	0.0980026
malnutrition	0.097422
lapse	0.0972623
lack	0.0970311
provocation	0.0965663
subversion	0.0960456
offense	0.0960361
bloodshed	0.0959548
deprivation	0.0957335
prejudice	0.0953706
tactic	0.0953657
drinking	0.0951037
malfeasance	0.094738
inefficiency	0.0945476
invasion	0.0943794
transgression	0.0943612
"drug addiction"	0.0937028
scam	0.0935022
"mass murder"	0.0934331
contamination	0.0932605
deception	0.0930466
misappropriation	0.0927237
"health problem"	0.0926924
harm	0.0923842
poisoning	0.0923151
case	0.0921634
collusion	0.0920629
epidemic	0.0917599
offence	0.0914621
drug	0.0913931
smoking	0.0913362
treatment	0.0911071
erosion	0.0909886
disruption	0.0907853
Alcoholism	0.0905605
insecurity	0.0903665
misbehavior	0.0901724
gambling	0.09007
injury	0.0900673
"mail fraud"	0.089951
Addiction	0.0898214
prosecution	0.0897432
stress	0.0896669
"securities fraud"	0.0895901
abandonment	0.0892617
trauma	0.0891956
anti-Semitism	0.0891702
incitement	0.0891205
cronyism	0.0890859
possession	0.088874
))
(abuser (desc 11850.5) (sims
"drug addict"	0.179716
"drug user"	0.174848
offender	0.169321
addict	0.144768
criminal	0.128331
Rapist	0.124313
"drug dealer"	0.122227
violator	0.116174
"heroin addict"	0.114987
TORTURER	0.113336
murderer	0.1121
"child molester"	0.106124
felon	0.103028
pedophiles	0.10144
juvenile	0.0982671
trafficker	0.0961143
prostitute	0.0959411
"AIDS patient"	0.0951844
lawbreaker	0.0946561
smuggler	0.0945255
"substance abuser"	0.0913761
alcoholic	0.0882484
"drug trafficker"	0.0873914
illiterate	0.0834186
"juvenile delinquent"	0.0831516
pedophile	0.0816685
stalker	0.0813564
drinker	0.0810682
Pusher	0.0810526
robber	0.0792651
perpetrator	0.0787853
delinquent	0.0786573
polluters	0.0783517
gambler	0.0765941
sufferer	0.0760453
kidnapper	0.0759782
wrongdoer	0.0756869
orphan	0.0754967
parolee	0.0751418
thief	0.0745642
diabetic	0.0742999
pimp	0.0740285
adulterer	0.0737174
smoker	0.0726268
Killer	0.0720504
perjurer	0.0717429
"war criminal"	0.0717284
homeless	0.0713175
TRUANT	0.0712722
aged	0.0692812
predator	0.0691618
mugger	0.0688211
laborer	0.0687025
migrant	0.0685425
burglar	0.0684908
user	0.0679329
inmate	0.0676846
deserter	0.0666697
evaders	0.0665453
immigrant	0.0661646
panhandler	0.065733
arsonist	0.0643322
offence	0.0643186
terrorist	0.0643017
"serial killer"	0.0640696
dropout	0.0637905
enlistee	0.063626
beater	0.063562
kingpin	0.0630254
assailant	0.0623106
defendant	0.0621387
Philanderer	0.0620759
dealer	0.0616886
"farm worker"	0.0609584
"drug lord"	0.0609204
trafficking	0.0607972
assassin	0.060189
liar	0.0599803
defaulter	0.0599276
hemophiliac	0.0597715
spammers	0.0596754
racist	0.05967
pornographer	0.0595057
overdose	0.0593336
abductor	0.0592506
adolescent	0.0592179
prisoner	0.0582964
"Angel Maturino Resendiz"	0.0581832
fugitive	0.0580981
infraction	0.0580333
co-conspirator	0.0578905
thug	0.0576863
poacher	0.0576534
minor	0.0576337
pickpocket	0.0573125
"college student"	0.0569455
swindler	0.056618
alien	0.0565393
racketeer	0.0564939
"political prisoner"	0.0562384
troublemaker	0.0561746
junkie	0.0561538
beggar	0.0561459
teenager	0.0549923
"alcohol abuse"	0.0548549
job-seekers	0.0548194
homosexual	0.0547461
rioter	0.0546903
youngster	0.0546657
attacker	0.0546095
purchaser	0.0545828
shoplifter	0.0544341
Addiction	0.0543373
"political dissident"	0.0543079
polluter	0.0542978
vagrant	0.054174
leper	0.0540758
"married woman"	0.0539774
detainee	0.0539306
hooligan	0.0537236
disabled	0.0535189
elector	0.0533626
"foster child"	0.05319
Filipino	0.052951
conscript	0.0529007
VMs	0.0527739
Tibetans	0.0527461
"mentally retarded"	0.0526169
snakehead	0.0525961
examinees	0.0522405
"Rafael Resendez-Ramirez"	0.0519854
schizophrenic	0.0519558
"heroin addiction"	0.0519253
smuggling	0.0519096
seizure	0.0518896
aggressor	0.0518872
"civil servant"	0.0517511
escapee	0.051727
misdeed	0.0517156
registrant	0.0516116
extortionist	0.0514925
infant	0.0513998
mobster	0.0513878
"job seeker"	0.0513497
African-American	0.0511232
"AIDS activist"	0.0509495
teens	0.0509306
"blood donor"	0.0509171
recipient	0.0508558
seeker	0.0508403
learner	0.0506786
"mental disorder"	0.050573
looter	0.0504737
hacker	0.0504583
applicant	0.0500544
foreigner	0.0500461
seminarian	0.0498837
"senior citizen"	0.0496875
Honduran	0.0496402
bully	0.0494777
HIV-positive	0.0493965
crook	0.0493795
centenarian	0.0493562
"police officer"	0.0493107
"union member"	0.0492997
deportee	0.0492919
gangster	0.0491835
combatant	0.049159
probationer	0.0490964
culprit	0.0490797
drifter	0.0489409
spy	0.0489269
ringleader	0.048824
fatality	0.0487806
"con man"	0.0487164
renter	0.0485603
debtor	0.0485427
bigot	0.0484343
rape	0.0484144
"New Jerseyans"	0.0483965
dieters	0.0483838
cheater	0.048305
"truck driver"	0.0482711
beneficiary	0.048251
retiree	0.0482135
"important person"	0.0480161
drunk	0.0479882
plotter	0.0479875
profiteer	0.0477553
Hispanic	0.047626
womanizer	0.0475568
homicide	0.0475449
tyrant	0.0475291
"drug addiction"	0.0474645
launderers	0.0474002
non-Jew	0.0473615
contraband	0.0473331
complainant	0.0472761
carjackings	0.0472732
mastermind	0.0472328
))
(abuzz (desc 6511.24) (sims
scepticism	0.0556879
toying	0.0525068
lather	0.0491194
"field day"	0.0439797
guessing	0.0432291
))
(abyss (desc 9070.08) (sims
morass	0.130585
oblivion	0.117779
quagmire	0.10849
precipice	0.105181
crevasse	0.0998023
ravine	0.0933801
anarchy	0.0933074
insolvency	0.0902453
recession	0.0881855
doldrums	0.0868718
chasm	0.0840209
chaos	0.0814253
void	0.0786039
brink	0.0777804
darkness	0.0719519
spiral	0.0702001
maelstrom	0.0697989
despair	0.069664
Rut	0.0677088
"black hole"	0.0661437
maw	0.0652412
extinction	0.0646659
obscurity	0.0645187
bankruptcy	0.0633815
Depression	0.0625574
depth	0.0609877
quicksand	0.0601354
ditch	0.0597362
"vicious cycle"	0.0578445
"middle distance"	0.0577142
ocean	0.0555898
mediocrity	0.0553029
catastrophe	0.054901
trough	0.0520619
cataclysm	0.0499982
hyperinflation	0.0491691
"nervous breakdown"	0.0490922
sinkhole	0.0485801
madness	0.0480785
wellspring	0.0471502
upheaval	0.0467419
schism	0.0448908
malaise	0.0447695
muck	0.0445104
trance	0.0444317
predicament	0.0444256
ravages	0.044325
tailspin	0.0440852
disintegration	0.0439818
vortex	0.0437549
realm	0.0436727
insanity	0.0435391
relegation	0.043533
nightmare	0.0433241
isolation	0.0431845
dilemma	0.04292
cave	0.0428838
thicket	0.0427807
rubble	0.0427055
disarray	0.0426351
dugout	0.0424195
exigency	0.0423954
"Atlantic Ocean"	0.0417956
coma	0.041619
crevice	0.041476
misery	0.041327
limbo	0.0412402
stratosphere	0.0411277
isolationism	0.041124
adulthood	0.0409589
"dead end"	0.0407741
calamity	0.0406752
canyon	0.0403641
emptiness	0.0403217
strait	0.0402488
starvation	0.0401767
dichotomy	0.0400646
))
(ac (desc 3438.95) (sims
Torino	0.0926047
Napoli	0.0823711
"Universal Serial Bus"	0.0721185
Ethernet	0.0707912
Lecce	0.0666636
air-conditioning	0.0666253
Sampdoria	0.0640999
Perugia	0.0635644
Midi	0.0605439
wiper	0.0588391
defroster	0.0584598
USB	0.0573532
Udinese	0.056875
Bari	0.0556671
DC	0.0555729
Cagliari	0.054739
SCSI	0.0526578
voltage	0.0516154
conveyor	0.0504776
Empoli	0.0485542
Vicenza	0.0474241
Piacenza	0.0467538
thermostat	0.0464442
"Italian League"	0.0455997
lightbulb	0.0438348
"Andean Community"	0.0433302
"morse code"	0.0427395
"Roundabout Theater Company"	0.0424011
"coaxial cable"	0.042326
detonation	0.0423242
Fiorentina	0.0420926
Venezia	0.0420363
"cigarette lighter"	0.0406235
"power unit"	0.0405589
"alarm clock"	0.0404818
Roma	0.0404724
SFC	0.0402332
))
("AC Milan" (desc 15519.2) (sims
Juventus	0.288219
"Inter Milan"	0.269941
"Real Madrid"	0.239728
"Bayern Munich"	0.226519
Udinese	0.219383
Parma	0.218027
Fiorentina	0.215987
Ajax	0.208948
Sampdoria	0.207529
"Manchester United"	0.2051
"Ajax Amsterdam"	0.17676
"Aston Villa"	0.170742
Internazionale	0.169227
Barcelona	0.168877
Galatasaray	0.166213
Perugia	0.161422
"Atletico Madrid"	0.156814
Liverpool	0.15266
Napoli	0.152254
"Olympique Marseille"	0.151071
Inter	0.147954
Rosenborg	0.1475
Tottenham	0.146953
Olympiakos	0.146667
Venezia	0.144596
"PSV Eindhoven"	0.144579
Bari	0.144342
Roma	0.144009
"AC Parma"	0.14347
Benfica	0.142834
"Borussia Dortmund"	0.142471
Bologna	0.142091
Lazio	0.141627
Porto	0.138567
Valencia	0.13715
Kaiserslautern	0.134205
Everton	0.133699
Salernitana	0.132145
Vicenza	0.131906
"Bayer Leverkusen"	0.129737
Empoli	0.129401
Chelsea	0.129363
"FC Barcelona"	0.128706
Torino	0.128354
"Kinder Bologna"	0.1277
"Dynamo Kiev"	0.126579
Arsenal	0.126313
"Nottingham Forest"	0.125992
Middlesbrough	0.12573
Piacenza	0.12478
Cagliari	0.123626
"Schalke @@"	0.123625
Brondby	0.122331
"Boca Juniors"	0.12079
"Newcastle United"	0.11973
Feyenoord	0.119202
"VfB Stuttgart"	0.119024
Besiktas	0.11786
Spartak	0.117829
Newcastle	0.116158
Panathinaikos	0.115582
"Leeds United"	0.113239
"Spartak Moscow"	0.11312
Lecce	0.112253
"West Ham"	0.111858
"Glasgow Rangers"	0.111567
"Real Sociedad"	0.110753
corinthian	0.109519
"Shanghai Shenhua"	0.10944
"D.C. United"	0.107584
Flamengo	0.105571
Leeds	0.105066
Blackburn	0.104998
Gremio	0.10482
"Dalian Wanda"	0.103921
"Red Star Belgrade"	0.103734
"Coventry City"	0.103274
Bayern	0.102503
Monaco	0.102405
"Houston Rockets"	0.101859
Necaxa	0.0993586
Espanyol	0.0979068
"Sturm Graz"	0.0973764
Anderlecht	0.0973544
Nacional	0.0971372
Mallorca	0.0966621
Serie	0.0964173
"Werder Bremen"	0.0963534
"Leicester City"	0.0963491
"Velez Sarsfield"	0.0961238
"Max Biaggi"	0.0947945
"Borussia Moenchengladbach"	0.0944663
"River Plate"	0.0940621
MetroStars	0.0928056
"Detroit Red Wings"	0.0924645
Penarol	0.0909173
Milan	0.0906222
"Green Bay Packers"	0.0906013
Schalke	0.0899255
"Tottenham Hotspur"	0.0896256
"Renzo Furlan"	0.0893039
"Milwaukee Bucks"	0.088714
"Hertha Berlin"	0.0886857
"Blackburn Rovers"	0.0883307
Palmeiras	0.0883051
"Gianluca Pozzi"	0.0881777
"Detroit Pistons"	0.0878187
"Minnesota Timberwolves"	0.0876973
"Dallas Stars"	0.0875244
"Los Angeles Lakers"	0.0872727
"Red Star"	0.0870907
"Montreal Canadiens"	0.0866191
"Athletic Bilbao"	0.0865554
"New York Rangers"	0.0864114
Fenerbahce	0.0858072
"Vancouver Canucks"	0.0856887
"Utah Jazz"	0.0855016
"St. Louis Cardinals"	0.0851912
"San Antonio Spurs"	0.0850196
"Croatia Zagreb"	0.0845259
"Jubilo Iwata"	0.0844314
"Real Betis"	0.084335
"Los Angeles Galaxy"	0.0839045
Fulham	0.0837931
"Partizan Belgrade"	0.0835301
"Chicago Bulls"	0.0832206
Shenhua	0.0830171
"Milwaukee Brewers"	0.0828694
Bastia	0.0828096
"Isolde Kostner"	0.0828012
Obilic	0.0821157
"Philadelphia Flyers"	0.0820829
"Silvia Farina"	0.0820384
Gama	0.0815259
"Charlotte Hornets"	0.0814442
Auxerre	0.0812212
"Dallas Mavericks"	0.0806315
"Boston Celtics"	0.0804716
"Miami Fusion"	0.0803296
"Kansas City Royals"	0.0797424
"Los Angeles Kings"	0.079295
"Chicago Fire"	0.0792911
"Seibu Lions"	0.0792238
"New York-New Jersey MetroStars"	0.0791639
"Minnesota Vikings"	0.0790128
"Miami Dolphins"	0.0790022
Independiente	0.0788331
"Red Wings"	0.0787581
Dortmund	0.0785277
"Washington Redskins"	0.0784898
"White Sox"	0.0784265
Metz	0.07841
"Calgary Flames"	0.0782614
"Dallas Cowboys"	0.077835
"Slavia Prague"	0.0776958
Celtic	0.0776043
"Minnesota Twins"	0.0774988
Zamalek	0.0774103
Leicester	0.0773613
"New York Giants"	0.0772744
"San Diego Padres"	0.07715
LSU	0.0771217
"Los Angeles Dodgers"	0.0770322
"Dallas Burn"	0.0768877
"Colo Colo"	0.0767051
Cruzeiro	0.0766003
Sunderland	0.0764693
"Golden State Warriors"	0.0762925
Watford	0.0758635
"Denver Broncos"	0.0757573
"Olympiakos Piraeus"	0.075598
Celtics	0.0754633
Paraguay	0.0754365
"Paris St Germain"	0.0753629
Verona	0.0752841
"Michigan State"	0.0749511
"Indiana Pacers"	0.074899
"New York Islanders"	0.0746267
"New York Knicks"	0.0744435
"Detroit Lions"	0.0742089
"Boston Red Sox"	0.0740179
oiler	0.0737255
Betis	0.0736843
"Crystal Palace"	0.0735594
"Cincinnati Reds"	0.0733383
Coventry	0.0733087
"Celta Vigo"	0.0731406
"New York Jets"	0.0728029
AEK	0.0726725
"St. Louis Rams"	0.0725138
"Cleveland Indians"	0.0724571
"San Diego Chargers"	0.0724419
"Chicago White Sox"	0.072338
Canuck	0.0723339
"New York Yankees"	0.0723134
"Andrea Gaudenzi"	0.0721657
"Washington Capitals"	0.0719702
"Portland Trail Blazers"	0.0717647
panther	0.0715375
"Team USA"	0.0715127
))
("AC Parma" (desc 1435.83) (sims
Cagliari	0.208782
Sampdoria	0.201247
Piacenza	0.193388
Vicenza	0.192431
Parma	0.185986
Torino	0.164702
Salernitana	0.163585
Perugia	0.160557
Fiorentina	0.155534
"Real Betis"	0.152905
"AEK Athens"	0.150894
Juventus	0.147497
Lecce	0.143659
"AC Milan"	0.14347
Bari	0.140772
Udinese	0.139749
Bologna	0.135916
Venezia	0.132305
"Ajax Amsterdam"	0.124412
Empoli	0.124072
"Schalke @@"	0.123768
"Chinese Army"	0.116252
"Deportivo La Coruna"	0.112929
Benfica	0.111717
Internazionale	0.108772
"Croatia Zagreb"	0.107525
"Inter Milan"	0.107213
"Glasgow Rangers"	0.103735
Bastia	0.103555
"Celta Vigo"	0.103023
Feyenoord	0.102299
"Velez Sarsfield"	0.102263
Anderlecht	0.0997508
"FC Porto"	0.0986205
Roma	0.0973498
"Olympique Marseille"	0.0943619
"Slavia Prague"	0.0942456
Gremio	0.0937814
"Newcastle United"	0.090859
Fenerbahce	0.0904862
"Atletico Madrid"	0.0897092
"Miami Fusion"	0.0885258
"Borussia Moenchengladbach"	0.088468
"San Lorenzo"	0.0869137
Besiktas	0.0864836
"Jinan Taishan"	0.086057
Penarol	0.0860492
"VfB Stuttgart"	0.0848544
"Red Star"	0.084745
Brondby	0.0842154
Atalanta	0.0836862
Genoa	0.0832331
"VfL Wolfsburg"	0.0826032
"Spartak Moscow"	0.0824319
Auxerre	0.0821814
Verona	0.0821168
Olympiakos	0.0821032
"Jubilo Iwata"	0.0810187
"Qingdao Hainiu"	0.0807133
"Coventry City"	0.0804877
corinthian	0.0803118
"Boca Juniors"	0.0800997
"Sichuan Quanxing"	0.0788785
"Bafana Bafana"	0.078021
Nacional	0.0775827
Rosenborg	0.0768377
"River Plate"	0.0767387
Wolfsburg	0.0767162
"Athletic Bilbao"	0.0762086
"Tottenham Hotspur"	0.0761516
"Paris St Germain"	0.0753928
"Hertha Berlin"	0.0750457
Middlesbrough	0.0748164
"Bayer Leverkusen"	0.0746202
"Olympiakos Piraeus"	0.0743471
"Arnaud Di Pasquale"	0.0740774
"Los Angeles Galaxy"	0.0739693
"Colo Colo"	0.0738242
"Derby County"	0.0738029
Karlsruhe	0.0737236
Espanyol	0.073593
"Guangzhou Apollo"	0.0732876
Valladolid	0.073071
"Blackburn Rovers"	0.073034
"Bayern Munich"	0.073
Obilic	0.0721152
"Kinder Bologna"	0.0719013
Olimpia	0.0712854
"Dalian Wanda"	0.070928
Fulham	0.0708442
"Younes El Aynaoui"	0.0707884
"West Ham"	0.070118
Meligeni	0.0699827
"Real Sociedad"	0.0698612
Cruzeiro	0.0697977
"Tara Snyder"	0.0694492
Berasategui	0.0693338
Heerenveen	0.0691074
"Partizan Belgrade"	0.0690098
Schalke	0.0688222
Everton	0.0682958
Hongyuan	0.0682281
"Albert Portas"	0.067966
Watford	0.0676246
"Leicester City"	0.0676188
Deportivo	0.0673717
"Deportivo Coruna"	0.0673199
"PSV Eindhoven"	0.0671138
"West Ham United"	0.0654042
Vitesse	0.0651926
"Paul Goldstein"	0.0650606
Palmeiras	0.0650603
"Nottingham Forest"	0.0645332
Extremadura	0.0643716
Serna	0.0641308
Flamengo	0.0639416
Habsudova	0.063882
"Guangdong Hongyuan"	0.0637674
Sunderland	0.063588
"Shanghai Shenhua"	0.0635361
Metz	0.0634452
"Leeds United"	0.0633827
"Borussia Dortmund"	0.0633217
Zamalek	0.0631723
Dortmund	0.0629277
Galatasaray	0.0628285
"Hidetoshi Nakata"	0.0617642
"Seibu Lions"	0.0610301
AEK	0.0610229
Ajax	0.0609151
Rostock	0.0608801
Coventry	0.0597819
Porto	0.0592079
Sevilla	0.0590545
Freiburg	0.058879
Gustafsson	0.0587327
"Shanghai Sharks"	0.0583225
Malmo	0.0583035
Necaxa	0.0583019
"George Weah"	0.058156
Zaragoza	0.0569903
Panathinaikos	0.0566731
Lapentti	0.0565245
Celta	0.0559899
Tottenham	0.0553708
"Chicago Fire"	0.0553266
Kaiserslautern	0.0551815
Shenhua	0.0551352
Tenerife	0.0550233
Rennes	0.0549916
Independiente	0.0549916
Kashima	0.0544391
"Crystal Palace"	0.0544312
Spartak	0.0543882
"Joannette Kruger"	0.0539708
Blackburn	0.0535884
Canterbury	0.0533981
Schalken	0.0533332
non-Albanians	0.0532264
Mallorca	0.0531624
Felton	0.053083
Turin	0.0529837
Rolen	0.0528955
"Dynamo Kiev"	0.0527428
"Bradford City"	0.0526887
"Marcelo Filippini"	0.0526317
Alaves	0.0525143
"Tatiana Panova"	0.0524563
"Barbara Schwartz"	0.0521245
Charlton	0.0520487
Villareal	0.0520312
Lindland	0.0520247
Dosedel	0.0519623
"Kim Clijsters"	0.0517197
"Sturm Graz"	0.0515066
Montpellier	0.0514513
"Xavier Malisse"	0.0511849
Trepagnier	0.0510499
Leicester	0.0504816
Barnsley	0.0504553
"Super Eagles"	0.0504021
"Filippo Inzaghi"	0.0503525
Karlsson	0.0503294
"Christian Ruud"	0.0502335
PSV	0.0502311
PSG	0.0501738
"Franco Squillari"	0.0500813
Edberg	0.0500769
Betis	0.0499707
"Andrew Ilie"	0.0499566
"Viswanathan Anand"	0.0498211
Raoux	0.0497783
Luton	0.0497189
Estudiantes	0.0494852
"Arkansas State"	0.0491022
"Els Callens"	0.0486629
"Yayuk Basuki"	0.0486242
"Brett Steven"	0.0485882
"Alberto Costa"	0.0481803
"Asa Carlsson"	0.0479574
))
(AC/DC (desc 1263.38) (sims
"Black Sabbath"	0.158629
"Dave Matthews Band"	0.123487
Metallica	0.119188
"Billy Joel"	0.091284
"Pink Floyd"	0.0896936
"Van Halen"	0.0877326
"Alice Cooper"	0.0859646
Aerosmith	0.0757876
"Rolling Stones"	0.0704491
"Bruce Springsteen"	0.0702085
"Jimmy Buffett"	0.0698841
Korn	0.0688148
"Smashing Pumpkins"	0.0670802
"Elton John"	0.0658359
"Pearl Jam"	0.0655621
"Limp Bizkit"	0.0643713
"Beach Boys"	0.0640602
"Beastie Boys"	0.0627314
"Sex Pistols"	0.0606873
"Luther Vandross"	0.0604764
R.E.M	0.0593238
Mahler	0.0559671
"Red Hot Chili Peppers"	0.0556471
Phish	0.0555363
gonzo	0.0549683
bluesy	0.0544567
"Woody Guthrie"	0.054372
zeppelin	0.0531474
Coen	0.0529235
"Backstreet Boys"	0.0516785
"Ray Charles"	0.0509492
"James Brown"	0.0499527
"Celine Dion"	0.0497391
Guthrie	0.0494467
"Jimi Hendrix"	0.0489823
"dance band"	0.0487571
"Marilyn Manson"	0.0482932
"Paul Simon"	0.0478419
Springsteen	0.0474678
Gershwin	0.0474449
"stream of consciousness"	0.0464944
tarantula	0.0460687
"Diana Ross"	0.045675
"black flag"	0.045534
klezmer	0.0454407
"Lone Ranger"	0.0453464
"Ricky Martin"	0.0451509
Dre	0.044727
Centipede	0.0446322
"Grateful Dead"	0.0435566
"Bob Dylan"	0.0435181
U@	0.0434675
uptempo	0.0429899
Sondheim	0.042421
"Randy Newman"	0.042233
"Howard Hughes"	0.0420033
hammy	0.0419761
Cyrus	0.041574
"Eric Clapton"	0.0409152
REM	0.0407988
"Toni Braxton"	0.0406559
"Steely Dan"	0.0405142
))
(academia (desc 8445.94) (sims
Journalism	0.0825185
"show business"	0.0776846
"business community"	0.0776411
"mass media"	0.0760269
"fashion industry"	0.0758219
"social group"	0.0733583
profession	0.0732616
publishing	0.0725151
"social organization"	0.0721577
academic	0.0686711
"medical profession"	0.0681981
broadcasting	0.0674861
"non-governmental organizations"	0.0664218
"computer industry"	0.0647358
"professional association"	0.0644586
"medical community"	0.0629912
"public service"	0.0629765
"educational institution"	0.0628039
"social science"	0.0627704
NGOs	0.0626102
"law enforcement"	0.062568
"trade union"	0.0617682
"high technology"	0.0616777
"legal profession"	0.0603862
"higher education"	0.0602106
"business sector"	0.0601873
"movie industry"	0.0600979
"law practice"	0.0595368
Judiciary	0.0589585
"film industry"	0.0588619
philanthropy	0.058123
economics	0.0579889
"entertainment industry"	0.057077
"automobile industry"	0.0569931
"legal community"	0.0549002
"oil business"	0.0542729
"Silicon Valley"	0.0541455
"labor union"	0.0541383
"chemical industry"	0.0540213
"news media"	0.0539395
commerce	0.0538911
"civil service"	0.0530192
literature	0.0529087
sociology	0.0528123
workplace	0.0523918
entrepreneurship	0.0523153
banking	0.052134
"banking industry"	0.0517144
"interest group"	0.0508431
"native land"	0.0507371
"local department"	0.0499736
"trucking industry"	0.0498149
"political arena"	0.0497687
retailing	0.049631
"business organization"	0.0495339
"professional basketball"	0.0494806
Non-governmental	0.0492721
aerospace	0.0490524
"labor market"	0.0482965
engineering	0.0482826
"professional football"	0.0480348
"oil industry"	0.0480018
computing	0.0478725
biotechnology	0.0473056
"diplomatic corps"	0.0472482
"musical theater"	0.0471203
"trade association"	0.0470695
"labor movement"	0.0467706
"liberal arts"	0.0466113
"state enterprise"	0.0465604
countryside	0.045844
businesspeople	0.0458323
"social work"	0.0457406
"health professional"	0.0456373
"United States Senate"	0.0451791
aviation	0.0444787
"armed service"	0.044447
"East Germany"	0.0442868
NewsRoom	0.0442862
stakeholder	0.044278
"line of work"	0.0438238
cyberspace	0.0435688
"U.N. agencies"	0.0435209
"popular music"	0.0432893
photography	0.0431322
"television news"	0.0431123
"information technology"	0.0430229
e-commerce	0.0429066
"state legislature"	0.0428849
"Ministry of Information"	0.0427086
cinema	0.0424669
archaeology	0.0424292
astronomy	0.0423219
"securities business"	0.04227
ECW	0.0420253
"computer technology"	0.0419437
"country music"	0.0418915
"professional baseball"	0.0418893
"legal system"	0.0416572
"Lone Star State"	0.0415035
"public opinion"	0.0413543
"political system"	0.041304
"job market"	0.0412847
tech	0.0412814
"work force"	0.0412689
organisation	0.0412301
"economic expert"	0.0412124
"UN agency"	0.0411428
foundations	0.0410759
"Indonesian Military"	0.0410307
priesthood	0.0409756
"medical science"	0.0406964
academy	0.0406554
labour	0.0406391
psychiatry	0.0405351
academician	0.0405278
"United Nations High Commission for Refugees"	0.0403523
"motion picture"	0.0400455
))
(academic (desc 41804.4) (sims
scholar	0.19543
educator	0.163366
"business leader"	0.1583
scientist	0.156596
academician	0.156576
intellectual	0.149696
"business executive"	0.14498
"government officials"	0.143614
expert	0.14252
professional	0.141509
"legal expert"	0.140574
historian	0.139749
businessmen	0.137535
politician	0.136831
environmentalist	0.135669
journalist	0.133741
"religious leader"	0.132279
researcher	0.131017
economist	0.130214
activist	0.129935
entrepreneur	0.127225
"social scientist"	0.125589
sociologist	0.121704
banker	0.120759
"policy maker"	0.120594
"political leader"	0.11954
Industrialist	0.115775
professor	0.115677
theologian	0.115539
statesmen	0.113327
lawmaker	0.111692
diplomat	0.111027
"labor leader"	0.1107
writer	0.108907
artist	0.108664
specialist	0.10839
ethicists	0.108254
psychologist	0.107903
legislator	0.107443
advocate	0.107315
"elected official"	0.106348
doctor	0.10501
teacher	0.103885
lecturer	0.10347
linguist	0.102343
"civic leader"	0.102194
"military officer"	0.102155
"corporate executive"	0.10207
student	0.101977
biologist	0.101449
physician	0.100793
engineer	0.0998739
mathematician	0.0997115
physicist	0.0996991
critic	0.0995916
philosopher	0.0994951
parliamentarian	0.0994153
businesspeople	0.0993384
thinker	0.0990044
policy-makers	0.0984591
"art historian"	0.0980261
pundit	0.0976067
clergymen	0.0969373
conservationist	0.0969259
"faculty member"	0.0969241
commentator	0.0967406
anthropologist	0.0966749
"economic expert"	0.096621
"social worker"	0.0958941
bureaucrat	0.0953213
jurist	0.094619
lawyer	0.093961
poet	0.0937876
administrator	0.093756
executive	0.0925688
clergy	0.0924867
analyst	0.0920001
criminologists	0.0916227
official	0.0912471
musician	0.090605
congressmen	0.0905524
paleontologist	0.0905429
insider	0.0903389
technician	0.0900203
athlete	0.0894535
archaeologist	0.0894137
policymakers	0.0893291
author	0.0892961
"business community"	0.0891509
investor	0.0889747
Programmer	0.0887647
observer	0.0885233
regulator	0.088197
feminist	0.0880553
geologist	0.0871238
theorist	0.0864232
"college student"	0.0862748
dignitary	0.086175
"civil servant"	0.0859288
celebrity	0.0858466
"university student"	0.0857961
citizen	0.0857847
enterpreneurs	0.0855361
filmmakers	0.0852324
consultant	0.0851473
archeologist	0.0847077
educationist	0.0846571
planner	0.0844276
worker	0.0843228
trader	0.0841729
designer	0.0841489
"interest group"	0.0840776
member	0.0837657
architect	0.0836822
"political scientist"	0.0835934
lobbyist	0.0830334
agronomist	0.0830234
Playwright	0.0827687
"labor union"	0.0826036
astronomer	0.0820248
organization	0.0819967
leader	0.0813201
"newspaper editor"	0.0810565
reformer	0.0808607
"staff member"	0.0807635
institution	0.0807379
religious	0.0802731
"Wall Street analyst"	0.0801656
"trade unionist"	0.0801247
businessman	0.0797696
"health professional"	0.0797392
collector	0.0795946
essayist	0.0794826
representative	0.0793867
accountant	0.0790148
farmer	0.0786823
"army officer"	0.0785254
novelist	0.0784847
reporter	0.0783036
graduate	0.0779735
personage	0.0779525
cleric	0.0772677
resident	0.0771961
"investment banker"	0.0769339
rabbi	0.0768804
"cabinet minister"	0.0765861
composer	0.0764822
demographer	0.0764772
"graduate student"	0.0761703
"venture capitalist"	0.0761272
delegate	0.0761131
"civil rights leader"	0.0760857
leftist	0.0760553
adviser	0.0759415
NGOs	0.0758308
practitioner	0.075818
"world leader"	0.0755148
participant	0.0754351
Alumni	0.0754049
developer	0.0753411
"computer scientist"	0.0748698
public	0.0745368
Reader	0.0741987
"trade union"	0.0740431
"political party"	0.0739741
elder	0.07396
veteran	0.0737395
strategist	0.0737206
reviewer	0.0735422
pediatrician	0.0735332
"social organization"	0.07344
individual	0.0734342
media	0.0734111
decision-makers	0.0733154
publisher	0.0731801
psychiatrist	0.0730916
faculty	0.0730681
parent	0.0730488
archivist	0.0729259
staffer	0.0726584
volunteer	0.0726403
"public servant"	0.072632
consumer	0.0725672
financier	0.0725641
librarian	0.0724784
pollster	0.0723888
cadre	0.0723756
postgraduate	0.0723174
enthusiast	0.0721965
Chinese	0.0721541
merchant	0.0719007
nurse	0.0718382
statesman	0.0716197
university	0.0714254
surgeon	0.071286
photographer	0.0709602
painter	0.0709244
manager	0.0708881
"non-governmental organizations"	0.0708368
actor	0.0706538
))
("academic program" (desc 1911.97) (sims
"athletic facility"	0.0806012
curriculum	0.0792084
"marketing program"	0.0780667
"degree program"	0.0774211
"reading program"	0.0760819
"training program"	0.0727694
"teaching method"	0.0701253
"monitoring program"	0.0673294
"extracurricular activity"	0.0667086
"health service"	0.0635263
"endowment fund"	0.0635078
"School of Public Health"	0.0600552
"death benefit"	0.059086
"computer operation"	0.0590712
"child care"	0.0580373
"social service"	0.0579575
"educational program"	0.0577111
"computer hardware"	0.0560585
"economics department"	0.0560068
"defense program"	0.0548108
"transportation system"	0.0547029
"software product"	0.0545292
"business development"	0.0543267
"operating budget"	0.0542437
"subject area"	0.0541577
"information system"	0.0538994
specialities	0.0538515
"National Economic Council"	0.0537352
"compensation package"	0.0534803
"Field Poll"	0.0532872
"tax incentive"	0.0520502
urbanism	0.0518076
"education program"	0.0514376
"enforcement division"	0.0508418
"educational activity"	0.0502339
"early warning system"	0.0498735
"information service"	0.0497409
"business activity"	0.049709
"master plan"	0.0495815
endowment	0.0495035
"investment portfolio"	0.0493903
"Kennedy School"	0.0493
"Graduate School of Business"	0.0491191
"rehabilitation program"	0.049024
"communications service"	0.0488174
obstetrics	0.0486104
"English class"	0.0485036
"business plan"	0.0481808
tutoring	0.0479296
committment	0.0477786
"business enterprise"	0.0474009
personalization	0.0473796
"line of products"	0.0473279
"extension service"	0.0473117
"pilot program"	0.047272
"Kennedy School of Government"	0.0472273
"consumer durables"	0.0470941
ECN	0.0469935
"incentive plan"	0.0464885
"driving school"	0.0463083
"school of music"	0.0459873
"safety measure"	0.0459112
"commercial activity"	0.0458153
"fund-raising drive"	0.0455708
methodology	0.0455585
aeronautics	0.0454883
"social insurance"	0.0454551
"political relation"	0.0453159
"enforcement action"	0.0449173
"Organization Department"	0.0448737
"transfer payment"	0.0448603
"land reform"	0.0444781
"Market system"	0.0444375
curricula	0.044242
"public security"	0.0441063
"electric current"	0.0440396
"safety standard"	0.0439364
"computer program"	0.0439101
"scientific method"	0.0436869
"business relation"	0.043674
"equity investment"	0.0436214
"athletic field"	0.0434122
phonograph	0.0433305
"private foundation"	0.0431812
convocation	0.0430979
"securities business"	0.0429938
specialization	0.0429596
"business unit"	0.0429079
"Peace Corps"	0.0428811
iteration	0.0428632
"business condition"	0.0428381
"bond offering"	0.0428325
"dividend payment"	0.0427645
"graduate school"	0.0425981
"day camp"	0.0425764
"military drill"	0.0424772
"security system"	0.0423832
"road construction"	0.042311
"credit system"	0.0422644
Services	0.0421544
"product development"	0.0421381
"port of call"	0.0419478
"agenda item"	0.0419196
"incentive program"	0.041851
good-neighborly	0.0418002
"public works"	0.041711
"bank rate"	0.0417076
"financial condition"	0.0414139
"support system"	0.0413427
"fund-raising campaign"	0.0412463
bureaux	0.0412042
"mainframe computer"	0.0411963
final-status	0.0408434
A@XX	0.0407323
NIH	0.040676
"retirement plan"	0.0406102
"building code"	0.0406076
ATF	0.0405893
"surveillance system"	0.0404515
"social activity"	0.040403
"compromise plan"	0.0403141
"tax advantage"	0.0402516
"summer camp"	0.0401743
"John F. Kennedy School of Government"	0.04013
outpatient	0.0400851
"State Bureau of Cultural Relics"	0.0400677
))
("academic year" (desc 3027.58) (sims
"school year"	0.199585
semester	0.166591
"baseball season"	0.137223
"financial year"	0.13473
year.	0.128775
"basketball season"	0.125224
"calendar year"	0.123761
"fishing season"	0.116056
"football season"	0.105987
"growing season"	0.0990934
"presidential term"	0.09722
"ice age"	0.095135
season.	0.0910033
"working day"	0.0905001
workday	0.0881835
"fiscal year"	0.0871476
"tour of duty"	0.0853692
"rainy season"	0.082796
"school day"	0.0826793
"Lunar New Year"	0.0791051
"trading session"	0.0791043
"Jewish Sabbath"	0.0780773
homestand	0.0741717
"third millennium"	0.073845
epoch	0.0738244
"eighth grade"	0.0736959
"term of office"	0.0735304
"budget debate"	0.0727858
go-round	0.0724418
"Holy Year"	0.0722937
"holiday season"	0.0720679
fortnight	0.0716636
"work day"	0.0701762
"business cycle"	0.0684317
"bear market"	0.0675358
"Cultural Revolution"	0.0672326
fasting	0.0667023
"exhibition season"	0.0666857
seasons.	0.0654731
"Rosh Hashana"	0.0649893
Passover	0.0648728
"dry season"	0.0644132
"senior class"	0.0644058
"freshman class"	0.0644026
millenium	0.0640303
jubilee	0.0638369
Christmases	0.062965
postseasons	0.0615583
iteration	0.0601479
"seventh grade"	0.0597631
"ASEAN Ministerial Meeting"	0.0591058
"place setting"	0.0581811
"Ryder Cups"	0.0580866
"Spring Festival"	0.0571052
"Consultative Group"	0.056979
"third grade"	0.0567091
"Bull Run"	0.0559451
"Iran-Iraq War"	0.055688
minicamp	0.0553012
Ramadan	0.0546918
"Memorial Day"	0.0546299
"Chinese Lunar New Year"	0.0546029
fieldwork	0.0544514
"Chinese New Year"	0.0539898
"Yom Kippur"	0.053885
half-year	0.0531405
"waiting game"	0.0531153
"fiscal @@@@"	0.0522782
"transition period"	0.0522442
two-a-days	0.0519054
"first semester"	0.0518795
xxx	0.0516145
"hunting season"	0.0513448
"industrial revolution"	0.0511393
flowering	0.0509591
ballgame	0.050458
ADP	0.0502949
damming	0.0502759
"bull market"	0.0499701
"Eighth National Games"	0.0495329
"final exam"	0.0494671
"Great War"	0.0490551
"World Environment Day"	0.0490245
Sabbath	0.048773
Easter	0.0486588
AMM	0.0486538
intifada	0.0481698
"Winter Olympics"	0.048005
runnings	0.0478416
"British Opens"	0.0476797
"life cycle"	0.047436
"Ninth Five-Year Plan"	0.0473547
workweek	0.0472357
stanza	0.0469879
windup	0.046911
"sixth grade"	0.0464103
"major league season"	0.0463904
"five to @@ years"	0.0462165
"vocational education"	0.0459799
Lent	0.0457001
game.	0.0455848
"Fourth Session"	0.0454268
"New Frontier"	0.0453549
"wage scale"	0.045286
"holy day"	0.0450237
nine-day	0.0448422
"four weeks"	0.0447426
"council meeting"	0.0447186
"World Health Assembly"	0.04471
"graduating class"	0.0444864
"International AIDS Conference"	0.0444197
polling	0.0444035
"round of golf"	0.044282
K-@@	0.0442554
"labor agreement"	0.0440281
"second grade"	0.0439105
upturn	0.0435643
"legal proceeding"	0.0434316
Giro	0.0432647
monsoon	0.0432509
"Terminal @"	0.0431451
"religious holiday"	0.0430679
"solar eclipse"	0.0430376
IGC	0.0429651
"British Grand Prix"	0.0424966
"Millennium Summit"	0.0424937
"camp site"	0.0424301
"Act @"	0.0423302
"European Monetary Union"	0.0422024
starts.	0.0421566
"New Year's Day"	0.0421489
"port of call"	0.042064
millennia	0.0420421
"English class"	0.0420346
"Act II"	0.0419275
"first overtime"	0.0418853
years.	0.0418022
"Fourth of July"	0.0417132
"International Year"	0.0416452
"happy hour"	0.0413188
airdrop	0.0411636
"one go"	0.0411544
"Fortune Global Forum"	0.0409559
"Asia-Europe Meeting"	0.0408968
Olympiad	0.0407852
"Copa America"	0.0406836
"line of products"	0.0406179
"bankruptcy proceeding"	0.0405103
"Lok Sabha"	0.0402972
"Mother's Day"	0.0402513
))
(academician (desc 12323) (sims
scholar	0.171123
academic	0.156576
"government officials"	0.142092
statesmen	0.127443
scientist	0.125862
agronomist	0.123816
"business executive"	0.122344
educator	0.119896
"legal expert"	0.118778
parliamentarian	0.116456
expert	0.11448
linguist	0.114176
"business leader"	0.113821
mathematician	0.112739
Industrialist	0.111427
"religious leader"	0.111145
geologist	0.109964
"Chinese Academy of Engineering"	0.108508
researcher	0.107774
"social scientist"	0.107539
businessmen	0.10696
businesspeople	0.106742
jurist	0.1041
decision-makers	0.102474
educationist	0.101065
botanist	0.100436
archeologist	0.0980912
"policy maker"	0.097247
enterpreneurs	0.0966577
economist	0.0962082
entrepreneur	0.0959113
"military officer"	0.0943055
intellectual	0.0938331
"corporate executive"	0.0929452
historian	0.0918677
professional	0.0908386
physicist	0.0903795
specialist	0.0903523
professor	0.0896053
theologian	0.0893309
clergymen	0.0888086
calligrapher	0.0879218
engineer	0.0877286
dignitary	0.0876715
"labor leader"	0.0873783
"health professional"	0.0872689
"university student"	0.0859534
"civil servant"	0.0859104
policy-makers	0.0857185
archaeologist	0.085592
journalist	0.084405
postgraduate	0.0835161
ethicists	0.0834714
banker	0.0832331
astronomer	0.0826777
fellow	0.0825175
chairmen	0.0820703
delegate	0.0819788
personage	0.0814383
technician	0.081321
"cabinet minister"	0.081012
"graduate student"	0.0805484
paleontologist	0.0798793
"faculty member"	0.0797623
"economic expert"	0.0795772
oceanographer	0.0791707
NGOs	0.0788107
laureate	0.0782706
cadre	0.0771045
lecturer	0.077005
legislator	0.0760335
MP	0.0752317
diplomat	0.075179
bureaucrat	0.0748831
activist	0.0748315
zoologist	0.0748115
philosopher	0.0746936
policymakers	0.0742338
administrator	0.074044
"head of state"	0.0738638
exhibitor	0.0736539
"political leader"	0.0734293
"trade unionist"	0.0733554
congressmen	0.0733212
"staff member"	0.0732229
"army officer"	0.0731459
sociologist	0.0729645
criminologists	0.0726612
politician	0.0726337
physician	0.0724717
"foreign officials"	0.0722168
"art historian"	0.0719042
clinician	0.0716632
coauthor	0.0715515
vice-president	0.0712711
demographer	0.0711461
trainee	0.0708379
"council member"	0.0704735
thinker	0.0703394
consortia	0.0692501
"public servant"	0.0690839
environmentalist	0.069029
biologist	0.0688326
"committee member"	0.0687234
institute	0.0683605
Councilors	0.0683268
psychoanalyst	0.0682906
practitioner	0.0682461
"medical specialist"	0.0681093
centenarian	0.0680959
cleric	0.068085
"elected official"	0.0680698
lawmaker	0.0673848
anthropologist	0.0672629
"computer scientist"	0.0672135
"social worker"	0.0671626
"world leader"	0.0668734
conservationist	0.0664933
clergy	0.066433
"department head"	0.0663546
volunteer	0.066319
architect	0.0662836
participant	0.0659983
surgeon	0.0659762
bishop	0.0656482
"college student"	0.0655518
cardiologist	0.0654661
rabbi	0.0653774
observer	0.0653636
seismologist	0.0651725
"computer expert"	0.0650496
"Chinese Academy of Sciences"	0.0649962
"test-tube baby"	0.0647033
ecologist	0.0642967
musician	0.0641003
"board member"	0.0640564
"civic leader"	0.0631453
chemist	0.0628405
statistician	0.0627803
"prize winner"	0.0627777
psychologist	0.0627447
technologist	0.0626024
pediatrician	0.0624465
ophthalmologist	0.0624383
theoretician	0.0618011
Alumni	0.0617955
Futurist	0.0615072
doer	0.0614545
"military personnel"	0.0613524
gymnast	0.0609578
veterinarian	0.0609353
deputy	0.060933
technocrat	0.0609071
planner	0.0608206
Councillor	0.0607554
"registered nurse"	0.0604077
personnel	0.0603154
nutritionist	0.0602921
"fashion model"	0.0599063
poet	0.0598188
dissident	0.0597888
appointee	0.0596662
"trade union"	0.0594149
"social organization"	0.0593969
"non-governmental organizations"	0.0592877
"newspaper editor"	0.0586909
epidemiologist	0.0586519
archivist	0.0586518
"decision maker"	0.0584779
"political party"	0.0584035
"AIDS activist"	0.0581337
"civil rights leader"	0.0580926
"real estate developer"	0.0579508
barrister	0.0577747
"military man"	0.0576116
"medical practitioner"	0.0573287
"Wall Street analyst"	0.0572156
"international organization"	0.057199
weightlifter	0.0571051
commentator	0.0569853
"church member"	0.0568743
consultant	0.056856
financier	0.0568516
"medical student"	0.0567217
internist	0.0566094
statesman	0.0565611
priest	0.056338
Asian-American	0.0563356
inductees	0.0562895
"military leader"	0.056288
"research center"	0.0562767
seminarian	0.0561706
officeholder	0.0561601
"administrative official"	0.0557937
Beijingers	0.0555968
functionary	0.0554522
"sales outlet"	0.0553113
"associate professor"	0.0552758
"political scientist"	0.0552577
"military attache"	0.0549673
))
(academy (desc 42953.1) (sims
institute	0.160542
university	0.127607
College	0.116704
"military academy"	0.113616
school	0.110893
"naval academy"	0.107709
association	0.1026
seminary	0.0992287
CAS	0.097442
museum	0.095392
"research center"	0.094816
"police academy"	0.0941594
"business school"	0.0926286
institution	0.090864
department	0.0895362
center	0.0894261
"boarding school"	0.0886973
"Chinese Academy of Sciences"	0.0885321
"medical school"	0.087441
"Qinghua University"	0.0871572
"community college"	0.0860843
"private school"	0.0853444
organization	0.0852875
"middle school"	0.0833788
conservatory	0.0831589
"law school"	0.0825211
agency	0.0824657
CMA	0.081746
"high school"	0.0815643
Council	0.0815206
foundation	0.0813097
Harvard	0.0811724
"Beijing University"	0.081046
"primary school"	0.0804284
clinic	0.0803578
"art school"	0.079966
"National Academy of Sciences"	0.0795032
"secondary school"	0.0787452
library	0.0780958
"training school"	0.0776893
"elementary school"	0.0773859
"West Point"	0.0764886
"public school"	0.0764853
"medical center"	0.0761784
"think tank"	0.0759041
hospital	0.0758931
"vocational school"	0.0754408
commission	0.0750721
ministry	0.0746873
committee	0.0745738
laboratory	0.0742435
church	0.0741641
"Hall of Fame"	0.0738159
bureau	0.073753
lab	0.0737496
"Chinese Academy of Social Sciences"	0.0733303
guild	0.0733162
"prep school"	0.0730575
"technical school"	0.0721945
USOC	0.0711826
NAACP	0.0711595
society	0.070518
"Harvard Business School"	0.0699185
charity	0.068914
MIT	0.0686901
federation	0.0683445
IOC	0.068081
"training program"	0.0677216
facility	0.0675184
Yale	0.0674139
"Harvard University"	0.0669711
faculty	0.0668401
"Screen Actors Guild"	0.0663752
office	0.0662536
troupe	0.065998
"task force"	0.0659165
studio	0.0655935
workshop	0.0655703
union	0.0655132
"junior college"	0.0654702
"Department of Education"	0.0653592
festival	0.0653468
"Catholic school"	0.0651784
zoo	0.0649841
"graduate school"	0.0648298
CDC	0.0645472
"Columbia University"	0.0645255
NIH	0.0639804
"school district"	0.0639792
club	0.0638824
corporation	0.0637122
"Sierra Club"	0.063558
"University of Chicago"	0.0633561
"University of California"	0.0631192
"summer camp"	0.0628572
"University of Georgia"	0.062736
"University of Texas"	0.062666
"Chinese Academy of Engineering"	0.0626469
kindergarten	0.0626102
orphanage	0.062585
ABA	0.062458
"International Olympic Committee"	0.0621614
forum	0.0620305
orchestra	0.0619952
community	0.0611224
corps	0.0610133
theater	0.0608773
"George Washington University"	0.0607072
EPA	0.0606525
UNICEF	0.0601563
"chamber of commerce"	0.0600514
UT	0.0598189
NASA	0.059732
USGA	0.0595881
Princeton	0.0592538
"Yale university"	0.059068
camp	0.059066
"New York University"	0.0588542
UNESCO	0.0588272
"religious school"	0.0588116
FDA	0.0587471
"Brown University"	0.058414
firm	0.0582565
branch	0.0582456
Oxford	0.0581429
ITF	0.0581138
"Smithsonian Institution"	0.0579568
citadel	0.0576986
park	0.057617
Assembly	0.0574285
"Harvard Law School"	0.0573782
embassy	0.0572263
"Fudan University"	0.0571783
"Stanford University"	0.0571144
"publishing house"	0.0569625
"World Bank"	0.0569541
campus	0.056951
station	0.0568113
class	0.0566321
headquarter	0.0565513
"Energy Department"	0.0564868
"nonprofit organization"	0.0563589
"advisory board"	0.0563276
"University of Southern California"	0.0562424
league	0.0562019
"Northwestern University"	0.0561943
board	0.056047
network	0.0559228
"Education Department"	0.0558951
conference	0.0557337
AARP	0.0556304
Icann	0.0556242
"board of education"	0.0555662
"educational institution"	0.0554464
NCAA	0.055404
Emmy	0.0552716
"opera company"	0.0552551
centre	0.055253
FTC	0.0551969
gallery	0.0551428
"travel agency"	0.0551426
unit	0.0551369
hall	0.0548511
denomination	0.0548508
complex	0.0548458
"Health Department"	0.0546419
synagogue	0.054557
"education program"	0.0545182
AFL-CIO	0.0543659
bank	0.0543468
"U.S. Olympic Committee"	0.0543411
Pentagon	0.0542834
consortium	0.0542725
FIFA	0.0542693
Cornell	0.0541596
shelter	0.0541015
"police department"	0.0539268
ama	0.0538862
"University of Michigan"	0.0538785
"American Medical Association"	0.0535384
panel	0.0534259
"Republican National Committee"	0.0534248
"local government"	0.0533401
"Carter Center"	0.0533347
ADB	0.0533011
UGA	0.0532273
"Department of Agriculture"	0.0531905
"Institute of Medicine"	0.0529754
FAA	0.0529692
"development center"	0.052921
"country club"	0.0527965
"community center"	0.0526943
"Interior Ministry"	0.0526507
seminar	0.0525306
"school system"	0.0524916
"central bank"	0.0524184
PUC	0.0523848
district	0.0522904
chapter	0.0522185
factory	0.0522171
))
("Academy Award" (desc 6810.78) (sims
"Golden Globe"	0.337479
Oscar	0.298394
Emmy	0.293248
"Tony Award"	0.284366
"Emmy Award"	0.247823
Grammy	0.204684
"Academy Awards"	0.197978
"National Book Award"	0.183301
"Emmy Awards"	0.14974
"Tony Awards"	0.144077
Emmys	0.142391
"Nobel Peace Prize"	0.133974
Tony	0.123168
"Pulitzer Prize"	0.122849
"Nobel prize"	0.119937
Tonys	0.118562
"Golden Globes"	0.117811
"Eclipse Award"	0.109231
Grammys	0.106892
"Grammy Awards"	0.106412
Heisman	0.106002
nomination	0.103549
prize	0.0995982
"Cy Young Award"	0.0971932
knighthood	0.0910879
acclaim	0.0890081
"New York City Marathon"	0.0870567
"Heisman Trophy"	0.0823986
CMA	0.0807272
"Pulitzer Prizes"	0.0806895
"London Marathon"	0.0802816
nominee	0.0775262
accolade	0.0767721
"honorable mention"	0.0761904
statuette	0.0729133
Pulitzer	0.0725161
Screenplay	0.0722886
"triple crown"	0.0716972
kudos	0.071427
"Boston Marathon"	0.0696716
"Medal of Honor"	0.0671676
trophy	0.0659825
"Cy Young"	0.0648874
"Stanley Cup"	0.0633263
"Kentucky Derby"	0.0618004
renown	0.0615114
"Gold Glove"	0.0611903
"Republican Senate"	0.0601599
Giro	0.0576391
"Indy @@@"	0.0568187
"Cup Juvenile"	0.0546604
"inside track"	0.054298
"Brickyard @@@"	0.0542899
Nobel	0.0542892
commendation	0.0537422
pennant	0.0535558
plaudit	0.0532534
"Winning Colors"	0.052664
"European Cup"	0.0526015
"Louis Vuitton Cup"	0.051181
Derby	0.0507919
"Pacific Classic"	0.0505607
Maurier	0.0503212
rave	0.0502398
"Purple Heart"	0.0496497
"Santa Anita Derby"	0.049164
sainthood	0.0489171
"PGA Championship"	0.0488065
MVP	0.0487977
top-@@	0.0487495
"Earth Day"	0.0477113
primetime	0.0476442
"British Opens"	0.0470895
"Daytona @@@"	0.0469285
comeuppance	0.0467854
"Stockholm Open"	0.0462826
"Silver Star"	0.0462492
vocalist	0.0457909
"first cup"	0.0451437
citation	0.0449712
"Gold Cup"	0.044497
"Bronze Star"	0.0443364
jackpot	0.0443224
"Cannes Film Festival"	0.0440393
"Policy Address"	0.0439828
Peabody	0.0439466
ovation	0.0438292
"Asian Cup"	0.0438229
fellowship	0.0437108
"European Champions Cup"	0.0435987
"inaugural address"	0.0433854
Opens	0.043087
"first pole"	0.043082
"US Open"	0.0427626
"NCAA Tournament"	0.0427103
"Gold Gloves"	0.0425558
"NL Rookie"	0.0423228
"French Open"	0.0422308
"Champions Cup"	0.0419834
Masters	0.0417332
half-point	0.0416129
hourlong	0.0416078
"all clear"	0.0414643
Olivier	0.0412451
"top billing"	0.0411223
makeover	0.0405385
"order form"	0.0404145
"seal of approval"	0.0403564
"United States Open"	0.0402117
"goose bumps"	0.0401815
longshot	0.0401557
))
("Academy Awards" (desc 14089.7) (sims
"Grammy Awards"	0.273734
"Tony Awards"	0.256914
Oscar	0.23881
Grammys	0.238208
"Emmy Awards"	0.233671
Emmys	0.216707
"Academy Award"	0.197978
"Golden Globes"	0.181987
"Gold Gloves"	0.164835
Tonys	0.161528
"Golden Globe"	0.150686
Emmy	0.139564
award	0.126899
Grammy	0.119787
"Cy Young Awards"	0.114263
"Cannes Film Festival"	0.112739
"Tony Award"	0.105625
"Stanley Cups"	0.103865
"Pulitzer Prizes"	0.101544
"National Book Award"	0.0994771
"Nobel prize"	0.0992727
"Nobel Peace Prize"	0.090634
Heisman	0.0900605
"U.S. Opens"	0.0869311
"Super Bowl"	0.0836035
"London Marathon"	0.0832543
"Summer Olympics"	0.0825929
"PGA Championship"	0.0821056
"All-Star Game"	0.0818119
"Kentucky Derby"	0.0813931
"Emmy Award"	0.0813916
prize	0.0786179
"Boston Marathon"	0.0779694
"Pulitzer Prize"	0.0763649
"Winter Olympics"	0.0748555
Opens	0.0747203
"Daytona @@@"	0.0746005
"Super Bowls"	0.0745364
"British Opens"	0.0741488
"New York City Marathon"	0.0740071
"PGA Championships"	0.0737898
AMM	0.0733876
"World Series"	0.0730317
"Indy @@@"	0.0723174
Derby	0.0719434
Tony	0.0715118
Masters	0.0713406
nomination	0.0708061
Olympics	0.0701904
"Summer Games"	0.0685296
"Heisman Trophy"	0.0684351
"Olympic Games"	0.068087
gala	0.0675699
"Sundance Film Festival"	0.0674062
"Democratic National Convention"	0.0668012
"playoff game"	0.0664261
"Night Football"	0.0662977
"Ryder Cup"	0.0655052
"Pan Am Games"	0.0651922
"X Games"	0.0646968
Sundance	0.0644623
pageant	0.0642625
"Consumer Electronics Show"	0.0641701
"World Health Assembly"	0.0639757
"Olympic Winter Games"	0.0638167
"Commonwealth Games"	0.0637216
pennant	0.0628626
induction	0.0626024
"Nissan Open"	0.0622074
"Shrine Auditorium"	0.061932
"Atlanta Games"	0.0615823
premiere	0.0614566
"Fiesta Bowl"	0.0613024
"Pro Bowl"	0.0612581
festival	0.0611341
concert	0.0611018
"Republican National Convention"	0.0596686
"Gold Cup"	0.0596074
"Winter Games"	0.0595529
"French Grand Prix"	0.0595418
"Asian Games"	0.0593068
"European Championships"	0.0586741
"triple crown"	0.0581982
"home game"	0.0581379
"World Athletics Championships"	0.0580925
prom	0.0577816
"World Environment Day"	0.0576513
"British Open"	0.0576104
Oktoberfest	0.0575947
"primary election"	0.0574955
"College World Series"	0.0571795
"Independence Day"	0.0571148
"Pepsi @@@"	0.0570453
"Republican Convention"	0.0569424
"baseball game"	0.0568803
trophy	0.0564449
Screenplay	0.0562231
"Earth Day"	0.0562231
"road game"	0.0561227
marathon	0.0560487
"Home Run Derby"	0.0557858
"Atlanta Olympic Games"	0.0554877
inauguration	0.055439
"Super Bowl XXXIV"	0.054685
"Cannes International Film Festival"	0.0543553
"Hall of Fame"	0.0538694
"Asian Cup"	0.0536488
"U.S. Open"	0.0536165
Cannes	0.0535939
"Ryder Cups"	0.0533402
"Sydney Olympics"	0.0530851
festivity	0.0529176
"Brickyard @@@"	0.0528077
tourney	0.052794
"ASEAN Ministerial Meeting"	0.0525142
"Sydney Olympic Games"	0.0523788
"NBA Finals"	0.052213
statuette	0.0521963
"Dubai World Cup"	0.0521515
"World Cup"	0.0519469
CMA	0.0519443
"Summer Olympic Games"	0.0518691
"Pacific Classic"	0.05171
Telecast	0.0516699
"Dorothy Chandler Pavilion"	0.0515459
"basketball game"	0.0515257
Wimbledon	0.051498
faceoffs	0.0514964
"Tour Championship"	0.0514239
extravaganza	0.0513073
"Players Championship"	0.0512283
COMDEX	0.0511972
"Stanley Cup"	0.0509152
"Annual Meeting"	0.0505488
"National Day"	0.0504381
"board meeting"	0.0504319
Spring/Summer	0.0498496
actress	0.0494454
audition	0.0493829
"European Championship"	0.0493725
"Winter Olympic Games"	0.0493621
Olympiad	0.0491972
"Eclipse Award"	0.04919
"Memorial Tournament"	0.0491331
"Australian Open"	0.0488554
Woodstock	0.0488336
"Veterans Day"	0.0487456
"Belmont Stakes"	0.0485716
pregame	0.0484722
"Sydney Games"	0.0482929
telethon	0.0481434
"World University Games"	0.0478121
UPC	0.0477899
"Winston Cup"	0.0477639
Maurier	0.047668
"World Cups"	0.0476197
"Lincoln Center Festival"	0.0475309
caucus	0.0474837
top-@@	0.0473971
"Goodwill Games"	0.0473097
"major league season"	0.0471338
"Pan American Games"	0.047061
"Grand Prix"	0.0469454
fund-raiser	0.0466612
"Olympic Trials"	0.0463686
"Cy Young Award"	0.0463059
"Opium War"	0.0461672
"general election"	0.0460738
"Buick Invitational"	0.0460129
"variety show"	0.045983
reunion	0.0459498
"cup final"	0.0457597
"Sesame Street"	0.0457
Macworld	0.0456572
"Louis Vuitton Cup"	0.0456405
"grand slam"	0.0454523
inductees	0.045421
three-hour	0.0454104
veep	0.0452115
"World AIDS Day"	0.045189
installment	0.0451814
"National Games"	0.0450134
"NCAA Tournament"	0.0449997
"sugar bowl"	0.0449892
"Brooklyn Academy of Music"	0.0449724
"French Open"	0.0449618
"Rose Bowl"	0.0449003
"Santa Anita Derby"	0.0447144
matinee	0.0446411
funeral	0.0446089
recital	0.0445351
"Lunar New Year"	0.044465
"British Grand Prix"	0.0444525
postseason	0.0442491
wedding	0.0442341
Indianapolis	0.0441866
"All-Star Games"	0.0441845
"International AIDS Conference"	0.0441699
"Phoenix Open"	0.0441101
ballgames	0.0438273
))
("Academy of Motion Picture Arts" (desc 2027.22) (sims
"China Society"	0.0999925
"Olympic Council of Asia"	0.0958162
"Commission on Presidential Debates"	0.0950888
"Hong Kong Federation"	0.0947898
NARAL	0.0934989
"Log Cabin Republicans"	0.0927437
"Los Angeles City Council"	0.0912839
"Screen Actors Guild"	0.0860008
"San Francisco Museum of Modern Art"	0.0853719
"Board of Elections"	0.0835605
"Canadian International Development Agency"	0.0830181
"National Abortion and Reproductive Rights Action League"	0.0825626
"Electronic Frontier Foundation"	0.0824787
"Bangladesh Bank"	0.0820995
"Beijing Municipal Government"	0.0817295
"Ethics Commission"	0.0804308
"International Amateur Athletic Federation"	0.0798939
"Human Rights Commission"	0.0796527
aldermen	0.0787247
"Central Commission for Discipline Inspection"	0.0779066
"World Petroleum Congress"	0.0771186
"Monetary Policy Committee"	0.0771049
"International Society"	0.0769101
"World Jewish Congress"	0.0766694
"Nevada State Athletic Commission"	0.0765114
"Association for Friendship"	0.076432
"U.S. Soccer Federation"	0.0749953
"World Bank Group"	0.0746236
"National Education Association"	0.0743445
"Bank of Israel"	0.0731402
SDS	0.0728957
Bundestag	0.0727397
"House International Relations Committee"	0.0726332
"Chinese Academy of Engineering"	0.0720993
"European Council"	0.0713642
"Democratic Leadership Council"	0.0704274
"American Film Institute"	0.0699964
"Board of Supervisors"	0.0699496
"Ministry of Posts"	0.0687793
"American Medical Association"	0.0686542
"International Badminton Federation"	0.0681655
"Sydney Organizing Committee"	0.0679459
"Ministry of Internal Trade"	0.0678815
"Ministry of Culture"	0.0677766
"World Intellectual Property Organization"	0.0676797
"PLO Executive Committee"	0.0676734
"State Development Bank"	0.0671617
"Executive Board"	0.066937
"Texas Senate"	0.0668275
"Environmental Defense Fund"	0.0664572
"National Association of Securities Dealers"	0.0664226
CCC	0.066327
"Sierra Club"	0.0649937
"United Nations Industrial Development Organization"	0.0645055
"U.N. Environment Program"	0.064285
"Provisional Urban Council"	0.0641717
"National Geographic Society"	0.0639538
"National Alliance"	0.0637849
"Center for Strategic"	0.0637683
"National Tourism Administration"	0.0636925
"Allied Pilots Association"	0.0636675
"American Association of Retired Persons"	0.0635303
"Supreme Soviet"	0.0634747
"Constitutional Council"	0.0633345
"jockey club"	0.0632968
"All-China Federation"	0.0630852
"State Bank of Pakistan"	0.062752
"National Committee"	0.0626269
"College Board"	0.0623038
"United States Congress"	0.0619293
"American Bar Association"	0.0617048
"US Congress"	0.0612545
"Senate Commerce Committee"	0.0609109
"International Tennis Federation"	0.0608643
CAS	0.0608268
"China Council"	0.059907
"NFL Players Association"	0.0598933
"Palestinian Council"	0.0597435
"China Association for Science"	0.059663
"Israeli Knesset"	0.0595982
"Sanctions Committee"	0.0592225
"All-China Youth Federation"	0.059218
"International Federation"	0.0591116
"National Cancer Institute"	0.0588534
"Philippine Senate"	0.0588284
"National Gambling Impact Study Commission"	0.0585773
"National Association of Broadcasters"	0.0585299
"Council on Foreign Relations"	0.058313
"State Administration of Cultural Heritage"	0.0583004
"Southeastern Legal Foundation"	0.0582783
"Bank of Italy"	0.0582744
"New York Times Co."	0.0582179
USOC	0.0582174
"National Council of La Raza"	0.0578721
"Ministry of Foreign Trade and Economic Cooperation"	0.057714
"Republican National Committee"	0.0576181
"Brooklyn Academy of Music"	0.0572449
"Mission Control"	0.0571347
"National Organization"	0.0570707
Eximbank	0.0570573
"Democratic National Committee"	0.0570151
"Federal Reserve Bank of New York"	0.0569761
"All-China Journalists Association"	0.0564365
"House Banking Committee"	0.0562173
AFL-CIO	0.0560577
"Nevada Athletic Commission"	0.0560337
"U.S. Golf Association"	0.0559562
"Royal Society"	0.0559257
"Chinese Olympic Committee"	0.0559238
"China Federation"	0.05563
"New York Civil Liberties Union"	0.0556223
"China National Tourism Administration"	0.0555836
"British Parliament"	0.0555698
"Ministry of Construction"	0.0554455
"Texas House"	0.0554447
"Modern Library"	0.0552951
"High Museum of Art"	0.0552269
"Xinhua News Agency Hong Kong Branch"	0.0551085
"New York Public Library"	0.0550567
"National Association"	0.0549637
"circadian rhythm"	0.0549529
"Business Council"	0.0549268
"District Council"	0.0548951
"Reserve Bank of Australia"	0.0547536
"League of Conservation Voters"	0.0547016
"League of Women Voters"	0.0546209
"Asia Society"	0.0546113
"governing board"	0.0544547
"Museum of Modern Art"	0.0544295
"Publicity Department"	0.054408
"Shanghai Branch"	0.0541966
"Banking Committee"	0.0541315
"Philippine Central Bank"	0.0540781
"Red Cross Society"	0.0540635
"Tourism Authority of Thailand"	0.0540011
"Foreign Relations Committee"	0.0539746
AARP	0.0539323
"Senate Appropriations Committee"	0.0539258
"Local @@@@"	0.0539115
"Ministry of Education"	0.0538486
"Motion Picture Association of America"	0.0538469
"Senate Judiciary Committee"	0.0537407
"Recording Industry Association of America"	0.0537202
"Constitutional Assembly"	0.0536894
"Chinese Academy of Sciences"	0.0536737
OCA	0.0534955
"Senate Banking Committee"	0.0534287
"European Bank for Reconstruction"	0.0533337
"United Malays National Organization"	0.0532818
"Air Line Pilots Association"	0.0530887
"Ford Foundation"	0.053083
"Information Office"	0.0530023
rank-and-file	0.0529986
Presidium	0.0529158
"Revolutionary Command Council"	0.0529034
"Guardians Council"	0.0528351
DLC	0.0527667
GEC	0.0527658
NSC	0.0526229
"high command"	0.0526057
"British government"	0.052541
"Families USA"	0.0524823
"International Amateur Athletics Federation"	0.0523804
"Canadian Alliance"	0.0523065
"Vanguard Group"	0.0521609
"Commonwealth Ministerial Action Group"	0.0520569
"Enron Corp."	0.0519782
"Salt Lake Organizing Committee"	0.0518829
"House Budget Committee"	0.0517409
"Electoral Commission"	0.0517116
"National Action"	0.0516457
"United Way"	0.0516455
"Rules Committee"	0.0516298
"executive council"	0.051351
"US House"	0.051292
"Congress Working Committee"	0.0512616
"Global Environment Facility"	0.0512469
"Senate Finance Committee"	0.0512312
UNESCO	0.0512047
"Republican Leadership Council"	0.0511948
"State Administration of Internal Trade"	0.051138
"Prime Minister Banharn Silpa-Archa"	0.0511356
"Council of Europe"	0.0509646
"Export-Import Bank"	0.0509466
"Service Employees International Union"	0.0509321
NCEC	0.0508791
UNDCP	0.050877
"U.S. Information Agency"	0.0508652
"Atlanta Motor Speedway"	0.0506287
"Housing Authority"	0.0505841
"Defense Fund"	0.0505662
"House Ways and Means Committee"	0.0505005
"Bank for International Settlements"	0.0504794
"Palestinian Legislative Council"	0.0504403
"Secretary General Boutros Boutros-Ghali"	0.0501919
"Chief Executive Tung Chee-hwa"	0.0501898
"International Association of Machinists"	0.0501648
"Federal Election Commission"	0.0500613
"Bank Indonesia"	0.0500375
"American Jewish Committee"	0.0500312
))
(Acadian (desc 1898.43) (sims
Slavic	0.123507
"French Canadian"	0.117432
"Kosovar Albanian"	0.109191
Appalachian	0.106917
Maasai	0.106639
"American Jewish"	0.106124
Germanic	0.100245
Mayan	0.099773
"Eastern European"	0.0956003
Mexican-American	0.0921356
"South Asian"	0.0893422
Kurdish	0.0890545
Hmong	0.0873437
"Orthodox Jewish"	0.0872659
"Middle Eastern"	0.086331
"Irish Catholic"	0.0828915
Iroquois	0.082748
Berber	0.0791924
Irish-American	0.0781107
Armenian	0.0775421
Javanese	0.0767814
"Sephardic Jews"	0.075857
Ingush	0.0757033
Anglo	0.0756825
Hawaiian	0.0755234
"North African"	0.0754218
Kosovar	0.0748263
Gypsy	0.074398
Scottish	0.0727788
"American Indian"	0.0720431
Quaker	0.0718541
"African American"	0.0718358
"native American"	0.0708546
"Puerto Rican"	0.0707628
"nearly one million"	0.0697702
"lower class"	0.069609
"Orthodox Christian"	0.0691643
Hemings	0.0690958
Sephardic	0.0690694
"Hispanic American"	0.0679624
Polynesian	0.0678696
Inuit	0.0675949
ranching	0.0666829
"Central American"	0.0663166
Stroganoff	0.0656656
Tibetan	0.0644239
"Israeli Arab"	0.0638165
"West Indian"	0.0636763
"Asian American"	0.0636487
asylum-seekers	0.0632884
rom	0.0629914
Italian-American	0.0629421
Hausa	0.0627993
illegals	0.0623885
Khmer	0.062109
Cuban-American	0.0620756
"Central Asian"	0.0619787
Chinese-Indonesians	0.0617895
Eskimo	0.0613117
Coptic	0.0607911
Amish	0.0607259
Aggie	0.0591695
Yoruba	0.0591345
beachside	0.0585988
lakeside	0.0577136
conquistador	0.0577002
"East Timorese"	0.0574788
Tutsi	0.0571325
Tatar	0.0569159
Navajo	0.056786
Icelandic	0.0566056
Sikh	0.056604
gangsta	0.0565304
"melting pot"	0.0561352
Druse	0.0561219
Cajun	0.0558651
Maya	0.0556684
Ecuadoreans	0.0555304
"Confederate soldier"	0.0552794
"Russian Jews"	0.0550227
Mayflower	0.0548344
"silent movie"	0.0547865
Arab-American	0.0547832
eroding	0.0547041
"shipwreck survivor"	0.054291
Hasidic	0.054238
mainlanders	0.0540573
Aborigine	0.053758
"Christopher Columbus"	0.0533002
kibbutz	0.0532047
Hazzard	0.053041
non-Hispanic	0.052764
Bedouin	0.0524095
"UNIX operating system"	0.0520028
Savoy	0.0517522
Romanov	0.0515208
oceanfront	0.0512214
hemophiliac	0.0511871
"Albanian Kosovars"	0.0509193
"West African"	0.0507265
Israelites	0.0504054
"nearly @ million"	0.0503523
emigrant	0.0497474
Chechen	0.0495319
"picture postcard"	0.0494801
"right whale"	0.049466
CHEROKEE	0.0493753
"monarch butterfly"	0.0493285
down-and-out	0.0492967
Celtic	0.049267
Asian-American	0.04919
gothic	0.0486809
Breton	0.0485742
Motorsports	0.0483716
Afro-Cuban	0.0480475
"Kosovo Albanian"	0.0480174
Arab-Americans	0.0479888
Japanese-American	0.0474612
"Stone Age"	0.0472867
Mormon	0.0470303
Okinawan	0.0468838
Ijaw	0.0467497
Honduran	0.0466326
"farm worker"	0.0466164
"fire ant"	0.0464721
"North Carolinian"	0.0463061
holidaymaker	0.0461281
Alaskan	0.0460174
"little leaguer"	0.0459786
Hutu	0.0458907
Bengali	0.0454954
Catskill	0.0450339
Athenian	0.0449971
"ten thousand"	0.0449705
"South Vietnamese"	0.0447338
Zhuang	0.0444719
"fourth generation"	0.0444556
Supremes	0.0442042
traveller	0.0441398
bluegrass	0.0440337
"More than three million"	0.0438816
Lew	0.0437184
Miao	0.0435041
Hawaiians	0.0433653
Ibo	0.0433429
beachfront	0.0432906
"cinder block"	0.0430088
"North Africans"	0.0429903
protestor	0.0429513
segregationist	0.042905
"Cuban Americans"	0.0428407
Liberian	0.0428297
"South Shore"	0.0427918
Salvadoran	0.0425157
skinhead	0.0424365
"Queen Anne"	0.0422997
"prairie dog"	0.0422083
"Shiite Muslim"	0.0421604
squatter	0.042144
Chinese-American	0.0421271
Makah	0.0420397
"another @ million"	0.0418607
Korean-American	0.0417784
"sea horse"	0.0417548
Libertarian	0.0417007
Aztec	0.0416294
Koreans	0.041627
"European Jews"	0.0416094
"census taker"	0.0415814
Ghanaians	0.041378
"East Asian"	0.0412529
snowbird	0.0412056
"Marco Polo"	0.0410775
Timorese	0.0410468
Rifaat	0.0409885
Karmapa	0.0409873
Beijingers	0.0409104
"Orthodox Jews"	0.0407135
colonist	0.0406211
"Old World"	0.0403668
Harriet	0.0403621
"almost @@@,@@@"	0.0403617
hippie	0.0402304
"another @@,@@@"	0.0401361
Ukrainians	0.0401178
))
(Acapulco (desc 4946.08) (sims
Tapachula	0.185167
Ensenada	0.176744
CANCUN	0.166425
"Guatemala City"	0.144353
Managua	0.131715
"Ciudad Juarez"	0.131608
Cozumel	0.128072
Kismayu	0.126354
"Mexico City"	0.122861
"Puerto Vallarta"	0.121672
"Sao Paulo"	0.119838
"Quebec City"	0.118219
Eilat	0.118156
Dushanbe	0.117551
Veracruz	0.117485
"San Salvador"	0.116158
"La Paz"	0.115523
Juba	0.114909
BOGOTA	0.113841
Sochi	0.113506
"Santo Domingo"	0.11183
Marjayoun	0.1115
Larnaca	0.110232
Basra	0.109972
Cartagena	0.109258
"Nuevo Laredo"	0.108491
Antalya	0.105522
"Cape Town"	0.104434
Makhachkala	0.104407
"Buenos Aires"	0.104382
"Rio de Janeiro"	0.10379
Vladivostok	0.103389
Alexandria	0.102665
BUCHAREST	0.102504
Aqaba	0.102037
Wilmington	0.102018
Aswan	0.101472
Manado	0.100986
"San Juan"	0.100336
Durres	0.100027
Naples	0.0999533
Sidon	0.0996893
Durban	0.0991783
Galveston	0.0990704
Srinagar	0.0977833
Chamonix	0.0970658
Tijuana	0.0962046
TEGUCIGALPA	0.0955077
Oaxaca	0.0954842
Guadalajara	0.0952826
Honolulu	0.0952302
"Del Rio"	0.0948609
Cebu	0.0942266
"Tel Aviv"	0.0940046
Nago	0.0939434
Algiers	0.0938238
Murmansk	0.0930361
Pusan	0.0929865
Istanbul	0.0926781
Salzburg	0.0926127
"Corpus Christi"	0.0924753
Taba	0.0922104
Sevastopol	0.0921465
Merida	0.0919727
Bulawayo	0.091854
Dubrovnik	0.0918213
Kuito	0.0917073
Assab	0.0917045
Kaohsiung	0.0916153
Odessa	0.0913537
Lima	0.0912969
Kindu	0.0912847
KAMPALA	0.0910093
CARACAS	0.0909943
Urosevac	0.0908952
Adana	0.0908151
Charleston	0.0906702
Wildwood	0.0906504
Sihanoukville	0.0905791
Matamoros	0.0900396
Sanya	0.089933
Dili	0.0899013
Goteborg	0.0890387
Phuket	0.0885152
Haifa	0.088447
Bermuda	0.0883595
Ashkelon	0.0879887
Mankulam	0.0879717
Luanda	0.0879235
COLOMBO	0.0878438
Belfast	0.0877538
WARSAW	0.0876056
"Miami Beach"	0.0875271
Limassol	0.0874499
"Leeward Islands"	0.0873023
Hyderabad	0.0871849
Pattaya	0.0869772
Nogales	0.0866436
"Santa Fe"	0.0865788
"Phnom Penh"	0.0865056
Katmandu	0.0864878
Quito	0.0863839
Taipei	0.0862629
"Little Rock"	0.0862538
Bushehr	0.0859864
Albany	0.085708
Izmit	0.0855629
Bombay	0.0853806
Jayapura	0.0853273
"Fort Worth"	0.0851581
Christchurch	0.0849996
Malaga	0.0849092
Utica	0.0848124
Trincomalee	0.0843928
Bissau	0.0842906
Port-au-Prince	0.0837278
Prague	0.0836712
BUDAPEST	0.0834048
Luxor	0.0832377
"San Pedro Sula"	0.0828303
Manila	0.0827401
Shiraz	0.082578
anchorage	0.0825752
Bujumbura	0.0823088
"Myrtle Beach"	0.0822643
Izmir	0.0822301
Juarez	0.0819502
"Key West"	0.0819404
Antwerp	0.0819101
Monterrey	0.081665
DHAKA	0.0815076
TALLAHASSEE	0.0813232
Gdansk	0.0812583
"Atlantic City"	0.0811398
Maui	0.0809173
BRIGHTON	0.0808534
Saida	0.0806312
Mosul	0.0804511
Havana	0.0804201
Mombasa	0.0804085
Kabul	0.0800304
Venice	0.0796714
Gudermes	0.0793829
"Hollywood Hills"	0.079333
Matadi	0.0791177
"Kosovska Mitrovica"	0.0790879
JOHANNESBURG	0.0789291
Yokohama	0.078924
Dalian	0.0786781
Weimar	0.0786565
Hamburg	0.0785371
Savannah	0.0783821
Brownsville	0.0782661
Halifax	0.0782156
Laredo	0.0778159
Dublin	0.0776617
ATHENS	0.0771916
Vlore	0.0770278
Yantai	0.0768618
Jalalabad	0.076724
Bengkulu	0.07665
"Ho Chi Minh City"	0.0765442
Vladikavkaz	0.0764439
HARARE	0.0764001
"San Antonio"	0.0762692
"Las Vegas"	0.0762621
Puebla	0.076238
"state capital"	0.0762213
Jasper	0.0760589
Aachen	0.0760417
Guayaquil	0.0759938
Toulon	0.0759854
Cairns	0.0756197
YANGON	0.0755953
Cali	0.0755422
Casas	0.07554
Beidaihe	0.0751376
Peshawar	0.0749412
Sarajevo	0.0749032
"Saratoga Springs"	0.0747446
Tacoma	0.0746845
Plattsburgh	0.0746299
Jakarta	0.0744837
Thessaloniki	0.0744074
Kinshasa	0.0743562
STOCKHOLM	0.0743549
el-Sheikh	0.0743244
Flagstaff	0.074311
Helsinki	0.0741436
Jeddah	0.0741223
Hillsboro	0.0740921
"Oklahoma City"	0.0739678
Honiara	0.0739665
Toluca	0.0739235
Zamboanga	0.0737912
Grozny	0.0735753
"Long Beach"	0.07345
Kigali	0.0731649
Tehran	0.0729846
Rio	0.0729583
))
(ACB (desc 856.253) (sims
"Australian Cricket Board"	0.391874
F.A	0.205893
CSC	0.191788
FA	0.148519
SAirGroup	0.148487
"Nevada Athletic Commission"	0.141077
"Football Association"	0.140052
Asda	0.134619
INEC	0.128223
Ansett	0.123499
"England Club"	0.119913
Bae	0.117107
HKFA	0.112591
"House Budget Committee"	0.112223
NRC	0.111413
ITC	0.111125
"Chronicle Publishing"	0.110886
"House International Relations Committee"	0.109068
SFA	0.108791
AFI	0.107172
ICI	0.106842
GAAF	0.103439
OCA	0.101595
Totalfina	0.101546
NASD	0.101346
Histadrut	0.101223
SAA	0.101136
MACROMEDIA	0.100166
INC	0.099279
CPSC	0.0986618
HKMA	0.0981971
Stratus	0.0976902
Autodesk	0.0973854
ENTERGY	0.0969007
"International Amateur Athletics Federation"	0.096529
PSC	0.0963869
Transamerica	0.0961166
Wada	0.0951217
"Cable &AMP; Wireless"	0.0944605
"British Foreign Office"	0.0943779
FEC	0.0940209
Denel	0.0940187
IEC	0.0935652
Paxson	0.093532
Ingalls	0.0933761
RIAA	0.093158
DSE	0.0928308
PCC	0.0918251
USATF	0.0911402
PATA	0.0910828
MPAA	0.0908102
KPA	0.0902854
NU	0.0902299
"Senate Governmental Affairs Committee"	0.0902174
SFC	0.0899768
"Hongkong Telecom"	0.0899603
"U.S. Export-Import Bank"	0.0899259
SGI	0.0892888
"State Bank of Pakistan"	0.0891313
"Nevada State Athletic Commission"	0.0890856
ZDTV	0.0881893
Carlsberg	0.0880733
Comelec	0.0879532
BCE	0.0879108
"Truth Commission"	0.0878723
CBK	0.0872837
USEC	0.0871488
"Senate Armed Services Committee"	0.0869032
Petrofina	0.0868301
UEFA	0.0862176
NatWest	0.0859753
NSC	0.0857173
ZCCM	0.0856586
CFTC	0.0852034
"Banking Committee"	0.0851918
CEC	0.0851742
SOCOG	0.084355
PCB	0.0842059
NORTHROP	0.0834897
"National Association of Securities Dealers"	0.0834415
Tandy	0.0830654
"Senate Budget Committee"	0.0828568
IAI	0.0827134
"Sprint Corp."	0.0822382
Cabletron	0.0821523
McKesson	0.0819699
CIRC	0.0817885
"Whole Foods"	0.0817299
Qantas	0.0812843
"Department of Corrections"	0.0810811
BankAmerica	0.0803511
Telkom	0.0801037
Starwood	0.0800103
RBA	0.0798369
"Southern Co."	0.0796057
BOI	0.0795846
NHTSA	0.0794072
ICC	0.0791413
NiSource	0.0789728
Barclays	0.0789586
EC	0.0789127
Dasa	0.0787577
Lamberth	0.0782455
"Republican House"	0.0780561
OSHA	0.0779075
UCI	0.0778779
RealNetworks	0.0778024
CSE	0.0776514
DLC	0.0776284
"International Tennis Federation"	0.0776166
CSRC	0.0775217
Incyte	0.07735
SDL	0.0763512
magpie	0.0761091
Fulham	0.0759902
"Pitney Bowes"	0.0758802
SLOC	0.0758614
ATC	0.0758516
TDB	0.0758209
Gilead	0.0757906
"Rules Committee"	0.0753754
"U.S. Defense Department"	0.0753525
"Electoral Commission"	0.0750287
"Norfolk Southern"	0.0746687
Hoechst	0.0746452
Transmeta	0.0746194
Norwest	0.0744872
"jockey club"	0.0744715
CCPIT	0.074454
UAM	0.0741548
UTC	0.0740565
"Airport Authority"	0.073784
NSA	0.0735481
"Senate Finance Committee"	0.0735128
ITU	0.0734879
FIBA	0.0732592
"Republican National Committee"	0.072766
Deutsche	0.0727132
Ruehe	0.072444
"Times Mirror"	0.0723535
Lilco	0.0722877
TDC	0.0721706
"Foreign Relations Committee"	0.0721049
RCMP	0.071892
"China Securities Regulatory Commission"	0.0718776
"Nuclear Regulatory Commission"	0.0717511
ADL	0.071477
AMR	0.0714208
Google	0.0712351
JMC	0.0710776
"Senate Foreign Relations Committee"	0.0710754
Northpoint	0.0707912
Bettman	0.0705121
"EU Commission"	0.0704848
"Joint Liaison Group"	0.0702479
GPU	0.0701225
ECB	0.0698998
CSA	0.0697374
Dresdner	0.0696615
FIA	0.0693355
CMGI	0.069239
CAA	0.0692266
IAAF	0.069198
KPU	0.0690538
UNIP	0.0689126
"Wine Institute"	0.0686268
"Senate Banking Committee"	0.0685474
Diageo	0.0684606
MTA	0.0683044
CCF	0.068235
NDF	0.0680304
"National Economic Council"	0.067874
"Bausch &AMP; Lomb"	0.0678057
"PLO Executive Committee"	0.0676689
"House Ways and Means Committee"	0.0676106
"Gulf Air"	0.0675137
USOC	0.0674404
LIFFE	0.067418
"Adobe Systems"	0.067238
Yamaichi	0.067211
"Senate Judiciary Committee"	0.0672023
ATA	0.0671003
"Occupational Safety and Health Administration"	0.0670154
"Royal Bank"	0.0669253
AEC	0.0668419
"Organizing Committee"	0.0667394
WEF	0.0663599
"Central Election Commission"	0.0662483
AmCham	0.0660689
CMAG	0.0660583
"Judicial Watch"	0.0659613
"House Government Reform Committee"	0.0659293
"Waste Management"	0.065837
YankeeNets	0.0657218
"BancBoston Robertson Stephens"	0.0657117
RRA	0.0656007
UBS	0.0655905
FINA	0.0654728
BN	0.0654579
Texaco	0.0653194
))
(ACC (desc 11024) (sims
"Big @@"	0.319582
Pac-@@	0.303424
"Big East"	0.300775
"Atlantic Coast Conference"	0.27229
"Southeastern Conference"	0.262496
"Big Sky"	0.245608
Pacific-@@	0.225856
"Conference USA"	0.216722
WAC	0.194986
"Western Athletic Conference"	0.190444
NFC	0.187452
"Division I-AA"	0.186648
AFC	0.182034
"Big Sky Conference"	0.181073
"Big West"	0.158872
SEC	0.154409
"AFC West"	0.152771
"NFC West"	0.151137
"Western Conference"	0.150515
"AFC East"	0.14747
"Pacific Division"	0.141361
"NFC East"	0.140467
"Atlantic Division"	0.133581
C-USA	0.133501
"Eastern Conference"	0.132225
NFL	0.128243
WCC	0.124701
"AFC Central"	0.12427
NHL	0.123762
nonconference	0.122571
CWS	0.121183
"NL Central"	0.120458
"National League West"	0.119916
"NL West"	0.117853
"National Hockey League"	0.116893
NL	0.115499
"Central Division"	0.11471
"NFC Central"	0.114666
"American League"	0.11409
league	0.113175
"Southwest Conference"	0.112459
"National League"	0.11186
A.L.	0.111829
"National Football League"	0.110126
"AL West"	0.110084
"American League West"	0.109178
"AL East"	0.108865
"Eastern Division"	0.107185
NCAA	0.10638
"NL East"	0.103991
WNBA	0.100989
"National League Central"	0.100693
ten	0.100188
ml	0.0996769
AFL	0.0992571
"SEC East"	0.0989916
NBA	0.0982267
"South Regional"	0.098123
"Fed Cup"	0.0981006
EuroLeague	0.0965249
Bundesliga	0.0953428
"Little League World Series"	0.0942413
"AL Central"	0.0941181
"West Regional"	0.0922237
"Division @"	0.0913723
"Premier League"	0.0907991
"College World Series"	0.0907699
AHL	0.0904904
"Midwest Regional"	0.0902611
"Copa America"	0.0854234
"major league"	0.0853056
"World Championship"	0.0847462
"Federation Cup"	0.084411
al	0.0841297
"Ivy League"	0.0840367
"Funny Car"	0.083971
"Top Fuel"	0.0838058
postseason	0.0833817
"Italian League"	0.0830706
"Pan Ams"	0.0821506
K-State	0.0820708
PBA	0.0802176
"European Cup"	0.0795253
"Horned Frogs"	0.0795215
"World League"	0.0783372
"NCAA Tournament"	0.0782653
ABL	0.0774876
"Northeast Division"	0.0773274
"National League East"	0.0756175
"American League East"	0.0753857
"International League"	0.075363
BCS	0.0748585
"NASCAR Winston Cup"	0.0746406
"NFL Europe"	0.0745827
"batting order"	0.0745779
LPGA	0.0745451
"Solheim Cup"	0.0741849
"National Basketball Association"	0.0740126
"Winston Cup"	0.073958
"Cactus League"	0.073918
"Arena Football League"	0.0726393
CAA	0.0725461
ATP	0.0722801
"Davis Cup"	0.0720321
"Asian Cup"	0.0715515
interleague	0.0710631
"U.S. Amateur"	0.0709866
"professional baseball"	0.0705589
gamecock	0.0705152
"first cup"	0.0701892
IRL	0.0700447
NHRA	0.0699023
"little league"	0.0698138
"Hopman Cup"	0.0697454
preseason	0.0696375
"sugar bowl"	0.0695047
"Tar Heels"	0.0694492
"match play"	0.0685866
"East Regional"	0.0685523
"Continental Basketball Association"	0.0684609
CBA	0.0683224
"UEFA Cup"	0.0682564
"ATP Tour"	0.068207
"National Collegiate Athletic Association"	0.067936
"League Cup"	0.0675238
"professional golf"	0.0673379
"water polo"	0.0670796
"Thomas Cup"	0.0670489
CONCACAF	0.0668424
"Fiesta Bowl"	0.0667277
"Canadian Football League"	0.0664608
"MLS Cup"	0.0663654
"American Hockey League"	0.0662553
backstroke	0.0661366
"round robin"	0.065899
"U.S. Senior Open"	0.0655168
snooker	0.0652824
Mavs	0.0650503
"Canadian Open"	0.0648018
Cornhusker	0.0644987
"World Cup"	0.0644261
"Dunhill Cup"	0.0643332
"Busch Grand National"	0.0641872
"Confederations Cup"	0.0640417
"National Invitation Tournament"	0.0639917
Serie	0.0634868
tourney	0.0633997
nit	0.0632984
"Cotton Bowl"	0.0631789
"regulation time"	0.0631438
"Pan Am Games"	0.0631149
UCLA	0.0629684
matador	0.0628095
"Hong Kong Open"	0.0625543
"junior lightweight"	0.062472
"first nine"	0.0623393
"Top @@"	0.0623315
IHL	0.0621691
"Uber Cup"	0.0621681
flyweight	0.0621628
wildcat	0.0620844
ou	0.0620178
UW	0.0620063
"Florida State"	0.0619347
"exhibition season"	0.0618121
Masters	0.0617591
"Stanley Cup"	0.0616776
Premiership	0.0616031
freestyle	0.0610865
men's	0.0609173
football	0.0609158
playoff	0.060821
"US Open"	0.0607127
Hokies	0.060703
"International Hockey League"	0.0606249
"LPGA Tour"	0.0605246
"Stockholm Open"	0.0602733
"Group @"	0.0602554
"U.S. Open"	0.0601669
"Boston Marathon"	0.0601155
"Arena League"	0.060032
"Italian Cup"	0.0599974
"Kentucky Derby"	0.0598406
Trojan	0.0597981
"Orange Bowl"	0.0597928
cruiserweight	0.0592934
OSU	0.0592308
"Gold Cup"	0.0591203
"PGA Tour"	0.0590987
Preakness	0.0590758
"Notre Dame"	0.0587613
breaststroke	0.0586781
FSU	0.0586564
UConn	0.0586208
"Japan Open"	0.0585025
slalom	0.0582324
"junior college"	0.0580478
buckeye	0.0579809
PGA	0.0579662
hardcourt	0.0579452
))
(acceleration (desc 20675) (sims
deceleration	0.181546
upturn	0.130021
slowdown	0.128509
uptick	0.122024
slowing	0.112666
improvement	0.107062
decrease	0.10563
upsurge	0.102271
moderation	0.100468
reduction	0.0980303
surge	0.0940117
reversal	0.093917
uptrend	0.0906718
Intensification	0.0887144
spurt	0.0883056
escalation	0.0868179
growth	0.0864349
resurgence	0.085562
contraction	0.084415
"rapid growth"	0.0843536
dropoff	0.0838331
deterioration	0.083329
revision	0.0825706
trend	0.0821445
turnaround	0.0818112
continuation	0.081188
consolidation	0.0810065
easing	0.0805505
recovery	0.0796714
adjustment	0.0781994
downturn	0.0781328
pace	0.0775185
progress	0.0751992
momentum	0.0746781
cutback	0.0743049
falloff	0.0741411
expansion	0.0730225
fluctuation	0.072773
"revenue growth"	0.0721891
depreciation	0.0711669
pickup	0.0701549
spike	0.0700223
"rate of growth"	0.0698064
efficiency	0.0689968
transformation	0.0687195
diversification	0.0686695
slippage	0.0685361
resumption	0.0684986
strengthening	0.0684054
enhancement	0.0682034
"temperature change"	0.067908
Liberalization	0.0674591
slackening	0.0673539
relaxation	0.0670801
"price increase"	0.0669252
"policy change"	0.0668967
doubling	0.0666611
Correction	0.066214
impact	0.0660164
disparity	0.0660057
buoyancy	0.0654042
erosion	0.0653822
deflation	0.0650542
burst	0.0649351
restoration	0.0646228
discrepancy	0.064542
influx	0.0636172
Tightening	0.0636062
lifting	0.06345
thaw	0.0633568
boom	0.06332
Implementation	0.0632599
hike	0.0632069
downtrend	0.0628344
Promotion	0.0623822
shrinkage	0.0623374
"market correction"	0.062106
stabilization	0.0619702
advancement	0.0618131
flexibility	0.0614368
"change of direction"	0.061129
drop-off	0.06093
stagnation	0.0605585
inflation	0.060368
imbalance	0.0603539
shortfall	0.0603521
emergence	0.0600046
"earnings growth"	0.0599915
buildup	0.0598732
readjustment	0.0597914
realization	0.059662
downturns	0.059571
"management change"	0.0594151
acceptance	0.059414
devaluation	0.0592332
industrialization	0.059181
depletion	0.0591479
strength	0.0591035
"rate cut"	0.0590706
revival	0.0588843
velocity	0.0585955
breakdown	0.0584929
letup	0.0584129
mobility	0.0583542
turnabout	0.0583362
postponement	0.0581096
"growth rate"	0.0580215
Cessation	0.0579392
disruption	0.0578364
urbanization	0.057791
realignment	0.057784
volatility	0.0577782
completion	0.057647
softening	0.0575761
"employment growth"	0.0575578
tempo	0.0573897
"job cut"	0.057112
weakness	0.0570675
"price pressure"	0.0566938
variation	0.0566811
shakeout	0.0566657
factor	0.0566559
innovation	0.0563245
retrenchment	0.0562566
flow	0.0562055
deployment	0.056138
productivity	0.05599
"cost cutting"	0.0559879
leap	0.0556665
Convergence	0.0555435
stamina	0.0554933
creation	0.0554508
overhaul	0.0553951
reactivation	0.0553496
deviation	0.0551613
pause	0.0551308
breakthrough	0.0549674
run-up	0.0549438
interruption	0.0548839
"turn of events"	0.0548141
"price cut"	0.0546591
durability	0.0546067
agility	0.0545973
globalization	0.0545735
stoppage	0.0545618
weakening	0.0545503
"rate rise"	0.0544211
potential	0.0543231
flare-up	0.0543103
integration	0.0542775
progression	0.0541924
achievement	0.0541731
sustainability	0.0541598
warming	0.0538554
interaction	0.0537979
eruption	0.053713
instability	0.0537014
coordination	0.0535407
urgency	0.0535231
introduction	0.0535187
handling	0.0533216
Proliferation	0.053008
shutdown	0.0529943
Openness	0.0529425
variability	0.0529079
enactment	0.0526337
evaluation	0.0524949
mobilization	0.0523837
restraint	0.0523407
belt-tightening	0.0523394
slump	0.0523086
indication	0.0522637
headway	0.0522405
shake-up	0.0521855
"New Wave"	0.0521543
"practical application"	0.0521266
about-face	0.0519715
alteration	0.0518946
accumulation	0.0518758
"rate increase"	0.0517492
streamlining	0.0517421
cancellation	0.0517343
modification	0.0515633
outflow	0.0515339
spiral	0.0515257
renewal	0.0515029
downsizing	0.0515013
appreciation	0.0514878
quickness	0.0514137
crunch	0.0513273
modernization	0.0512593
phenomenon	0.0511987
rollback	0.0511865
parameter	0.0509832
rainfall	0.0508213
enforcement	0.0507705
slowness	0.0507672
pick-up	0.0506837
profitability	0.050679
continuity	0.050664
))
(accelerator (desc 8878.73) (sims
"gas pedal"	0.176046
"particle accelerator"	0.14622
THROTTLE	0.107746
adapter	0.0929495
pedal	0.0877541
microprocessor	0.0811078
motherboards	0.0809765
supercomputer	0.0734453
collider	0.0719287
scanner	0.0704456
brake	0.0695412
"power steering"	0.0674216
"radio telescope"	0.0664763
processor	0.0646284
IC	0.0628777
spectrometer	0.0621861
printer	0.0611914
workstation	0.0578392
motor	0.0544097
irradiation	0.0542743
modem	0.0541458
microscope	0.0533995
dram	0.0531031
"hard disk"	0.0527574
CPU	0.0522339
"cruise control"	0.0521569
interface	0.0518486
imaging	0.0516984
IMAX	0.0506926
nuclear-weapons	0.0499588
"electric motor"	0.0498206
Ethernet	0.0495509
"coaxial cable"	0.0495103
gearbox	0.0493196
"laser printer"	0.0491039
"mainframe computer"	0.048587
decoder	0.0481309
"computer network"	0.047963
shipbuilder	0.0479398
DSP	0.0478676
"memory chip"	0.0476872
"neutron bomb"	0.047615
telescope	0.0475132
Sim	0.0473903
"Pentium III"	0.0473088
antenna	0.0472403
router	0.0472064
connector	0.0470857
graphics	0.0469507
reactor	0.0469467
"athletic facility"	0.0467815
server	0.0466889
"air bag"	0.0466656
"Pentium II"	0.0466534
lever	0.0463777
"disk drive"	0.045981
"weapons system"	0.0459717
Auger	0.0459089
"communications network"	0.0456087
"jigsaw puzzle"	0.0455434
grabber	0.0452563
"nuclear power"	0.044893
generator	0.0443348
laser	0.0442611
Cyrix	0.0440462
rudder	0.0440399
hardware	0.0439245
"storage device"	0.0438625
USB	0.0438349
"cable car"	0.0437662
acceleration	0.0437007
turbine	0.0436651
battery	0.0435956
DVD-ROM	0.0435074
"cash machine"	0.0433334
decontamination	0.0432465
steelmaker	0.0432138
"Gorges Dam"	0.0431325
"optical fiber"	0.0430387
chipmaker	0.0429579
mainframe	0.0428619
megaplexes	0.0427593
audio	0.0426936
"booster rocket"	0.0424922
"integrated circuit"	0.0424612
abacus	0.0423726
"computer hardware"	0.0423631
analog	0.042213
Metreon	0.0421116
radiotherapy	0.0420779
"wind tunnel"	0.0420489
"chemical warfare"	0.0418173
API	0.0417992
"alarm system"	0.0417257
axle	0.0417043
"steering wheel"	0.0415822
"UNIX operating system"	0.0415092
plunger	0.0414996
smelter	0.0414748
"control system"	0.0412024
pacemaker	0.041012
"suspension bridge"	0.0407978
"sound system"	0.0407762
Gaming	0.0407742
observatory	0.0407689
joysticks	0.0406987
headlight	0.0406691
steering	0.0406392
intercom	0.0406253
rig	0.0405338
"ventilation system"	0.0405302
"automatic teller machine"	0.0403884
"telephone network"	0.0402153
Projector	0.040129
"phone system"	0.0400378
"global positioning system"	0.0400368
"delivery service"	0.0400197
))
(accent (desc 42564.1) (sims
drawl	0.148933
tone	0.106133
voice	0.0983707
dialect	0.0980807
twang	0.0968153
inflection	0.0965264
diction	0.0882311
flavor	0.0878183
style	0.0875697
smile	0.0870411
slang	0.0830957
language	0.0774597
manner	0.0771909
baritone	0.0759178
personality	0.0756208
texture	0.0751933
mannerism	0.0748232
"sense of humor"	0.0733338
color	0.0731322
demeanor	0.0724461
background	0.0721573
mustache	0.072124
hair	0.0720873
charm	0.0715325
cadence	0.0708727
grin	0.070417
cuisine	0.0697465
sound	0.0695038
phrase	0.0689756
sensibility	0.0687227
laugh	0.0680142
rhythm	0.0668878
humor	0.0664093
flair	0.0663861
taste	0.0656629
lilt	0.0655585
aroma	0.0654714
idiom	0.0654673
Beard	0.0645705
timbre	0.0641691
expression	0.0633937
music	0.0628574
persona	0.06285
emotion	0.0624929
smell	0.0620806
makeup	0.0618413
attitude	0.0611395
phrasing	0.0600688
haircut	0.0596752
wit	0.0595788
character	0.0595279
vocabulary	0.059308
dress	0.0591924
motif	0.0589342
melody	0.0582563
"facial expression"	0.0577994
temperament	0.0572741
word	0.0571909
ponytail	0.0571423
nuance	0.0571
pronunciation	0.0569227
tradition	0.0569167
hairstyle	0.0567189
image	0.0566315
English	0.0565241
sense	0.0564724
scent	0.0563969
touch	0.0563287
habit	0.0554468
root	0.055372
furniture	0.0553309
complexion	0.0552362
ancestry	0.0550324
culture	0.0548964
decor	0.0547199
sweetness	0.0546672
"good looks"	0.0545742
costume	0.0544291
passion	0.054395
Song	0.0540957
eyebrow	0.0538452
identity	0.0537669
irony	0.0535767
"body language"	0.0533612
sarcasm	0.0531517
intensity	0.0531251
cloth	0.0529829
shirt	0.0528822
hat	0.0528781
heritage	0.0528671
hue	0.0527483
trait	0.0526853
swagger	0.0525088
pride	0.0523674
understatement	0.0522158
subtitle	0.0519687
twist	0.051871
translation	0.0518457
goatee	0.051527
pattern	0.051427
Fragrance	0.0514156
shape	0.0513808
bravado	0.0512678
mood	0.0512058
grammar	0.051134
upbringing	0.0510186
physique	0.0510081
gesture	0.0503604
origin	0.050269
earring	0.0502275
dish	0.0499354
tinge	0.0498587
talent	0.0497
skill	0.0496842
gait	0.049681
cliche	0.0496469
characteristic	0.0494495
beauty	0.0491812
fluency	0.0491457
vernacular	0.0490117
shoe	0.0488655
shade	0.0488542
tongue	0.0486041
stuff	0.0485446
blue	0.0483188
elegance	0.0482493
joke	0.0481888
"last name"	0.0481349
cooking	0.0481323
lifestyle	0.0481136
fashion	0.0480737
uniform	0.0480735
writing	0.0480065
"skin color"	0.0478024
spice	0.047759
vocals	0.0477579
sweater	0.0477513
script	0.0477504
skin	0.0477151
ethnicity	0.0476763
mindset	0.0476649
logic	0.0475859
detail	0.047548
temper	0.0474918
landscape	0.0474908
veneer	0.0474291
frame	0.0473835
palette	0.0473202
guitar	0.0472981
presence	0.047198
overtone	0.0471886
perspective	0.0469668
Outfit	0.046923
quality	0.0468331
imagery	0.0468049
nickname	0.0467268
ego	0.046639
prop	0.046587
charisma	0.0465495
hint	0.0465433
hairdo	0.0464098
spirit	0.0463257
wardrobe	0.0460611
lyric	0.0460598
enthusiasm	0.0460174
setting	0.045937
pedigree	0.0458848
fabric	0.0458482
motivation	0.0458218
earnestness	0.0457917
feeling	0.0457766
bitterness	0.0456035
whisper	0.0455607
skirt	0.0455418
atmosphere	0.0454998
theme	0.0454821
moniker	0.0454428
jacket	0.0453296
clarity	0.0453078
stripe	0.0452951
aura	0.0452877
lipstick	0.0451333
citizenship	0.0451162
glamour	0.0451074
behavior	0.0450719
jewelry	0.0449515
sauce	0.0449459
prose	0.0449207
foliage	0.0449168
quirk	0.0449116
meaning	0.0448903
wig	0.0448553
blend	0.0448306
literature	0.044746
variation	0.0447397
politics	0.0447131
silhouette	0.0446563
tempo	0.0446473
realism	0.0445862
syntax	0.0445782
))
(acceptability (desc 2475.12) (sims
trustworthiness	0.0991893
legitimacy	0.0832195
feasibility	0.0819785
reliability	0.0803708
effectiveness	0.0767713
efficacy	0.0767008
plausibility	0.0756124
cohesiveness	0.0721085
competence	0.0711697
relevance	0.0664881
viability	0.0657983
disquiet	0.0657258
propriety	0.0624282
worthiness	0.0616118
desirability	0.0614724
visibility	0.0614153
affordability	0.0608549
outrageousness	0.0605967
authenticity	0.058364
Constitutionality	0.0583107
soundness	0.0582053
accessibility	0.0581332
"public exposure"	0.0580108
likability	0.0573561
disapproval	0.0569942
cohesion	0.0569249
validity	0.0567953
stature	0.0559432
liveliness	0.0558543
cost-effectiveness	0.0557451
salinity	0.0552899
homeownership	0.0550027
sustainability	0.0548524
criminalization	0.0546622
"economic value"	0.0543282
legality	0.054308
fairness	0.0539535
competency	0.0533544
adaptability	0.0532815
variability	0.0532429
respectability	0.0531245
certitude	0.0524613
veracity	0.0519628
seniority	0.0518957
esteem	0.0514885
appropriateness	0.0510605
proficiency	0.0506559
severity	0.0505956
fragmentation	0.0499071
stamina	0.0497774
firmness	0.0492484
"military capability"	0.0491675
steadfastness	0.0489101
objectivity	0.0486189
largess	0.0485953
coherence	0.048469
adequacy	0.0478869
longevity	0.0478674
usefulness	0.04786
endurance	0.0477298
apportionment	0.0475077
acumen	0.0473579
fortitude	0.0471467
fragility	0.04701
constancy	0.0467773
delinquency	0.0466797
globalisation	0.0465282
"good will"	0.046333
"population density"	0.0461057
marketability	0.0458585
continuity	0.0457893
superstructure	0.0455235
correctness	0.0455174
reasonableness	0.0453867
Amity	0.0452457
"housing sale"	0.0447964
ramification	0.0447735
fulfilment	0.0446604
suitability	0.0446531
inventiveness	0.0443123
durability	0.0442226
alertness	0.044147
dissemination	0.0440875
receptivity	0.0438244
flatness	0.0437317
universality	0.0436985
"investor confidence"	0.0436145
truthfulness	0.0435126
opprobrium	0.0434064
predictability	0.0431044
crosscurrent	0.0430502
toxicity	0.0430327
"About @@,@@@ hectares"	0.0430227
"financial condition"	0.0430038
cleanliness	0.0428433
calibre	0.0427576
potency	0.0427503
militarization	0.0426838
comprehension	0.0425454
prevalence	0.0422128
"blood sugar"	0.0421833
usability	0.0421339
"cost structure"	0.041959
denouncement	0.0419365
timeliness	0.0417172
interdependence	0.0416563
polarization	0.0416045
"air pressure"	0.0413484
marginalization	0.041345
plurality	0.0413199
floatation	0.041268
sportsmanship	0.0412173
applicability	0.0411287
punctuality	0.0409868
breadth	0.0408557
dynamism	0.0408283
nanograms	0.0407951
"component part"	0.0407932
"about @@@,@@@ hectares"	0.0407859
neutrality	0.040716
hotspots	0.0406657
HDL	0.0404516
mettle	0.0404239
ferment	0.0403768
affluence	0.0403327
"More than three quarters"	0.0400562
))
(acceptance (desc 55610.2) (sims
rejection	0.150042
recognition	0.148982
approval	0.125495
adoption	0.113472
willingness	0.112886
endorsement	0.110474
support	0.109544
participation	0.10788
acknowledgment	0.107406
acknowledgement	0.106706
understanding	0.106171
respect	0.104971
commitment	0.102864
tolerance	0.102596
Implementation	0.101116
awareness	0.100236
Openness	0.0980788
admission	0.0952664
integration	0.0948184
resumption	0.0942369
realization	0.0933888
ratification	0.0933663
legitimacy	0.0929535
compliance	0.0925801
success	0.0914899
withdrawal	0.0907016
fulfillment	0.0902255
progress	0.0900574
appreciation	0.0898114
disapproval	0.0896236
condemnation	0.0895929
confirmation	0.0881946
lifting	0.0877132
determination	0.0869265
popularity	0.0864473
refusal	0.0864246
reversal	0.0854969
freedom	0.085133
stability	0.0843092
peace	0.083737
availability	0.0831547
decision	0.0830464
Declaration	0.0829087
reconciliation	0.0827814
desire	0.0826438
equality	0.0822618
forgiveness	0.0820938
membership	0.0820012
unity	0.0819364
involvement	0.0817832
loyalty	0.0817019
confidence	0.0815875
response	0.0813474
credibility	0.0810627
independence	0.0808947
inclusion	0.080812
change	0.0807266
renewal	0.079764
effectiveness	0.0797563
backing	0.0786577
prosperity	0.0786398
development	0.0786032
sympathy	0.0785952
restoration	0.0785906
demand	0.0784608
removal	0.078442
deployment	0.0783868
attitude	0.0783052
intervention	0.0770632
expansion	0.0770564
status	0.0770483
disclosure	0.0767743
solidarity	0.0767056
recovery	0.0766403
criticism	0.0765421
sense	0.0760394
action	0.0760035
perception	0.0758668
intention	0.0758202
denial	0.075601
agreement	0.0755993
improvement	0.0754416
reduction	0.0753839
reaction	0.0752543
application	0.0751277
Promotion	0.0748991
reunification	0.0743818
compromise	0.0743553
emergence	0.0743225
cooperation	0.0740835
introduction	0.0740213
establishment	0.0739069
consensus	0.0738214
enthusiasm	0.0738092
announcement	0.0737842
admiration	0.0736965
trust	0.073553
concession	0.0735356
effort	0.0734952
assurance	0.0734754
entry	0.0734335
reform	0.073372
affirmation	0.0733034
creation	0.0732403
accountability	0.0732379
abandonment	0.0730953
knowledge	0.0729005
failure	0.072885
flexibility	0.0728822
representation	0.0725654
interest	0.0724019
reluctance	0.072375
disarmament	0.0722821
consolidation	0.0721927
readiness	0.0721531
presence	0.0721489
cancellation	0.0720649
signing	0.071916
fairness	0.0718733
access	0.0718446
affection	0.0717733
resistance	0.0717181
consideration	0.0716789
attention	0.071396
democracy	0.0713637
resignation	0.0712191
continuation	0.0710754
proposal	0.0709935
promise	0.0709152
strength	0.070589
importance	0.0704976
acclaim	0.0704524
evaluation	0.0702779
survival	0.0702756
accession	0.0702409
belief	0.0702088
compassion	0.0701576
diversity	0.0701383
skepticism	0.0700935
pledge	0.0700131
validation	0.0699481
easing	0.0698168
capitulation	0.0697175
ability	0.0697067
passage	0.0695745
assessment	0.0693277
influence	0.0693027
policy	0.0692947
encouragement	0.0691479
achievement	0.0690619
Liberalization	0.069042
sincerity	0.0688176
pullout	0.068755
behavior	0.0687492
embrace	0.0686545
appeal	0.0685601
settlement	0.0683336
lack	0.0683229
guarantee	0.06831
viability	0.0681834
denunciation	0.0681612
seriousness	0.0680017
esteem	0.0678974
enforcement	0.0677021
optimism	0.0674509
growth	0.0674267
democratization	0.067395
transparency	0.0672741
advancement	0.0672174
integrity	0.0669328
role	0.0667807
certification	0.0667314
praise	0.0667291
interpretation	0.0666867
principle	0.0665697
adherence	0.0663595
consent	0.0663231
outcome	0.0661887
surrender	0.0660904
satisfaction	0.0660222
shift	0.06592
dominance	0.0658797
faith	0.0656552
defiance	0.0654963
happiness	0.0654145
normalization	0.0653884
"good will"	0.0653045
prestige	0.0652626
resentment	0.0652032
breakdown	0.0651461
resolution	0.0650796
validity	0.0650399
distrust	0.0650397
postponement	0.0650062
resolve	0.0649545
morality	0.0649111
expulsion	0.0648917
dignity	0.0648105
Dismissal	0.0645893
indifference	0.0644354
))
(accepting (desc 2079.97) (sims
Americanized	0.107392
user-friendly	0.0938917
literate	0.0930712
picky	0.0923468
proactive	0.0885224
up-front	0.0848693
colorblind	0.0834031
obstructionist	0.0831864
criminalization	0.0749139
"lingua franca"	0.0734675
rethinking	0.0708264
labor-intensive	0.0681288
eye-opening	0.0671594
decriminalization	0.0652347
"paying attention"	0.061831
enabler	0.0614839
reminded	0.0614055
"good person"	0.0588225
antithesis	0.058747
heartening	0.0584816
downbeat	0.0580998
negation	0.0576118
preachy	0.0572096
"risk taker"	0.0571154
indicative	0.0570924
"charter member"	0.0568409
"double agent"	0.0564615
Y@K-compliant	0.0562141
privy	0.0558402
market-oriented	0.0554076
capstone	0.0546438
redefinition	0.054552
"pain in the neck"	0.0544394
antsy	0.0537101
oversimplification	0.0531238
personification	0.0530572
multimillionaires	0.0529964
schematic	0.0528794
"top dog"	0.0528405
expedient	0.0524214
totality	0.0522867
"rich man"	0.0520422
"whipping boy"	0.050054
"sitting duck"	0.0499787
apotheosis	0.0498441
embodiment	0.0496048
"great deal"	0.0489689
"talk of the town"	0.0488675
learner	0.0488288
"solid ground"	0.0486608
simpatico	0.0486066
"mirror image"	0.047781
transient	0.0471902
reassessment	0.0469435
locus	0.0467171
fast-paced	0.0466351
jerky	0.0465584
"Twenty percent"	0.0462593
TRIER	0.0455857
perversity	0.0454867
hawkish	0.0452563
gung-ho	0.0451459
complicit	0.0450129
"center of attention"	0.045001
"legal guardian"	0.0446444
"close to one"	0.0444642
DEADBEAT	0.0444226
custodian	0.0443689
typecast	0.0443602
laughingstock	0.0438024
cross-fertilization	0.0434552
"practical application"	0.0432068
gatekeeper	0.0429812
happiest	0.0423704
animator	0.0422456
"fall guy"	0.0422337
cost-conscious	0.0421414
crux	0.0421176
caldron	0.0418824
paucity	0.0418637
bedrock	0.0417934
"direct evidence"	0.0417152
"making love"	0.0416564
"pen pal"	0.0416323
player-coach	0.0416233
conglomeration	0.0415356
upfront	0.0415353
heretic	0.0414524
"public exposure"	0.0414178
Ahold	0.0412803
"big leaguer"	0.0410634
megabyte	0.0409545
"throwing away"	0.0407257
concertmaster	0.0407091
epitome	0.0406425
inheritor	0.040521
"hot issue"	0.0404976
fount	0.0404535
voyeur	0.0401904
mishmash	0.0400056
))
(access (desc 158237) (sims
service	0.159665
connection	0.132911
Internet	0.127297
"telephone service"	0.126601
education	0.12579
"phone service"	0.123431
communication	0.12318
distribution	0.123027
protection	0.122478
accessibility	0.122414
information	0.120043
"health care"	0.114827
coverage	0.11462
technology	0.114074
use	0.113823
funding	0.113772
software	0.113754
Computer	0.110943
right	0.110132
transportation	0.109826
assistance	0.10971
financing	0.10927
modem	0.109181
application	0.108154
benefit	0.106845
freedom	0.10581
insurance	0.104838
delivery	0.103829
"health insurance"	0.103361
employment	0.103172
addition	0.102853
Housing	0.102724
Privacy	0.102584
flow	0.102168
link	0.102046
entry	0.101766
supply	0.10167
exposure	0.101614
system	0.101401
opportunity	0.101311
resource	0.101148
care	0.100489
travel	0.100127
ability	0.0991403
aid	0.0991355
electricity	0.0990012
transfer	0.0989447
availability	0.098746
"medical care"	0.0986759
security	0.0986663
participation	0.0986191
payment	0.097936
capability	0.0977132
email	0.0973089
money	0.0972061
treatment	0.0971283
data	0.0966264
training	0.0965107
quality	0.0964107
network	0.0961057
development	0.0959325
support	0.0957997
equipment	0.0953334
infrastructure	0.0952048
alternative	0.0944124
transmission	0.094146
safety	0.0928758
commerce	0.0927371
investment	0.0926002
program	0.0921277
subsidy	0.0919508
"phone line"	0.09133
expertise	0.091262
privilege	0.0911553
user	0.0911077
status	0.0904999
attention	0.0904847
fee	0.0903737
control	0.0903325
incentive	0.0902832
license	0.0895568
provider	0.0895425
flexibility	0.0895101
ownership	0.0893069
phone	0.0890612
convenience	0.0890168
DSL	0.0888627
transport	0.0884485
reform	0.0882912
hookup	0.0881834
traffic	0.0879925
wireless	0.0879359
registration	0.0878925
product	0.0878904
visa	0.0877566
power	0.0875692
content	0.0875272
health	0.0874477
improvement	0.0873012
contribution	0.0871999
commitment	0.0871674
purchase	0.0868598
management	0.0866373
device	0.0865078
pay	0.0865047
programming	0.0864807
admission	0.0863309
facility	0.0862624
trade	0.0862506
Advertising	0.0860956
credit	0.0860512
PC	0.0860408
"child care"	0.0859961
experience	0.0858881
accountability	0.0858879
loan	0.0857593
knowledge	0.085759
"tax break"	0.0857146
Promotion	0.0856236
environment	0.0855384
efficiency	0.0854867
sale	0.0854337
telecommunication	0.0852566
skill	0.0851575
subscriber	0.0849584
telephone	0.0847875
"personal computer"	0.0846503
banking	0.0845905
integration	0.084484
activity	0.084431
transaction	0.0842529
parking	0.084183
disclosure	0.0840874
relief	0.0839603
tax	0.0839157
help	0.0838118
business	0.083676
marketing	0.0832724
shopping	0.0829124
customer	0.0828975
cost	0.0827025
pricing	0.0826602
expansion	0.0826449
e-commerce	0.0824616
subscription	0.0824034
food	0.0822924
bandwidth	0.0822676
permit	0.0820864
compensation	0.0820199
networking	0.0816162
upgrade	0.0815039
income	0.0814438
recognition	0.081408
mobility	0.0811217
fund	0.0811158
"water supply"	0.0810436
cooperation	0.0806351
stability	0.0799631
wage	0.0799512
spending	0.0798837
need	0.0798546
interest	0.0797423
membership	0.0796665
connectivity	0.0794635
guarantee	0.0794596
respect	0.0792736
cable	0.0792697
return	0.0791989
welfare	0.0791615
import	0.0789886
accommodation	0.0789332
lending	0.0789294
standard	0.0788047
broadband	0.0786944
card	0.0786902
representation	0.0786656
policy	0.0783294
server	0.0783046
growth	0.0782804
"information technology"	0.0781224
"customer service"	0.0779306
damage	0.0779274
maintenance	0.0779228
Entertainment	0.077918
input	0.0778921
reduction	0.0777748
goods	0.0776193
Liberalization	0.0775877
export	0.0775665
inspection	0.0775327
download	0.0773629
"free trade"	0.0772817
exemption	0.0772076
operation	0.0771069
ticket	0.077049
solution	0.0767921
approach	0.0767181
enforcement	0.076527
"information service"	0.0762133
plan	0.0762006
))
("access road" (desc 4122.36) (sims
"rail line"	0.140046
"transmission line"	0.131752
expressway	0.118671
motorway	0.116181
"trunk line"	0.115232
"railway line"	0.112651
"ring road"	0.110739
thoroughfare	0.110326
roadway	0.109813
causeway	0.10735
"oil pipeline"	0.106643
"main road"	0.104221
"sewer system"	0.0960225
footbridge	0.0936004
railway	0.093222
"trunk road"	0.0928432
viaduct	0.0899055
footpath	0.0894229
freeway	0.0858515
waterworks	0.0856325
granary	0.0842023
seawall	0.0834586
"pedestrian bridge"	0.08179
sewer	0.0811506
embankment	0.0810463
"supply route"	0.0806288
"power grid"	0.080498
dyke	0.0798239
airstrip	0.0797428
ramp	0.0790337
walkway	0.0786559
passageway	0.0781062
waterway	0.0758767
railroad	0.0757936
levee	0.075661
"pumping station"	0.0754725
"Pudong International Airport"	0.074516
"suspension bridge"	0.0745125
cofferdam	0.0742406
"mountain pass"	0.074165
"sewage system"	0.0735923
superhighway	0.0729286
Canal	0.0715439
"power line"	0.0701478
"communication network"	0.0697293
drainage	0.0690813
byway	0.0688683
dike	0.0688068
megaplexes	0.0685825
monorail	0.0679457
"parking area"	0.0674275
"sea lane"	0.0668093
"railroad track"	0.0667379
"trade route"	0.06645
tunnel	0.0652124
"traffic circle"	0.0651809
"highway system"	0.0651728
"railway station"	0.0651243
culvert	0.0649444
interstates	0.0649421
corridor	0.06486
airfield	0.0648476
runway	0.0646238
"exhibition hall"	0.0641908
"main street"	0.0640898
substation	0.06365
"power station"	0.0635944
"railway system"	0.063068
reservoir	0.0622494
incinerator	0.0614484
"subway station"	0.0613519
seaport	0.0613155
overpass	0.0611976
"oil refinery"	0.061177
smelter	0.0611584
"sewer line"	0.0611411
"domed stadium"	0.0605518
dam	0.0603339
"power plant"	0.0603203
"water line"	0.0599924
"Beijing-Kowloon Railway"	0.0599409
depot	0.0597537
"Erie Canal"	0.0595776
"public utility"	0.0595612
"Route @@"	0.0595535
"Belmont Learning Center"	0.0594019
"drainage system"	0.0589545
"water supply"	0.0588674
"mass transit"	0.0586937
"landing strip"	0.0585259
flyover	0.0577387
latrine	0.0576913
"communication system"	0.057456
"railroad line"	0.0572922
driveway	0.0571046
"shuttle bus"	0.0566384
"telephone network"	0.0563815
"transportation system"	0.0563357
landfill	0.056318
pathway	0.0557853
hydropower	0.0557691
sewerage	0.055756
wharf	0.0557038
entryway	0.0556318
"water project"	0.0555896
"Brooklyn Bridge"	0.0553264
"supply line"	0.0551635
boulevard	0.0549485
"information superhighway"	0.0547582
artery	0.0547348
"production facility"	0.0546615
heliport	0.0545244
"industrial park"	0.0544106
irrigation	0.053963
"vocational school"	0.0537008
"Interstate @@"	0.0536496
"Interstate @"	0.0534882
"relay stations"	0.053353
Stairway	0.0525547
emulator	0.052175
promenade	0.0521478
"Highway @@@"	0.0520976
"tax base"	0.0519387
riverbed	0.0518956
interchange	0.0518954
pier	0.0515508
"railroad station"	0.0512717
intersection	0.0512451
Parkway	0.0511368
campgrounds	0.051098
"port of entry"	0.0510221
Bathhouse	0.0510142
"shopping center"	0.0509816
"telephone line"	0.0509168
switchboard	0.05077
"Suez Canal"	0.0506684
jetty	0.050667
"water system"	0.0505293
Marina	0.0505024
taxiway	0.0504565
"Gorges Dam"	0.0502935
"three schools"	0.0502556
subway	0.0502218
sanitation	0.050191
skyscraper	0.0500101
"bus route"	0.0499907
Spillway	0.0499456
"road construction"	0.0495988
berm	0.0492956
plaza	0.0492895
"skating rink"	0.0491455
"communications network"	0.0489555
"water pipe"	0.0484495
"water plant"	0.0484
"public works"	0.0483015
"fiber optic cable"	0.0478923
"gas plant"	0.0475715
I-@@	0.0472629
"cable car"	0.047183
"athletic field"	0.0471716
"about @@@ meters"	0.0471347
firehouse	0.0471084
"bus station"	0.0470292
"First Avenue"	0.0469397
"control tower"	0.0468313
"gas line"	0.0468308
"ventilation system"	0.0468051
concourse	0.0467734
headquarters	0.0467215
"opera house"	0.0466562
"Seventh Avenue"	0.0465932
"medical institution"	0.0465164
"office building"	0.0464556
"train station"	0.0464483
collider	0.0464342
"firing range"	0.0464065
"parking space"	0.0462724
"public toilet"	0.0460518
"Market system"	0.0459916
campsites	0.0459542
inlet	0.0459512
"office space"	0.0458749
"tea house"	0.0456726
alleyway	0.0456586
"housing development"	0.0454944
conservancy	0.04536
EPZ	0.0453343
"Panama Canal"	0.045285
cannery	0.045274
"rest room"	0.0451843
reclamation	0.0451342
"mountain range"	0.044888
"picnic area"	0.0448439
storehouse	0.04481
"primary school"	0.0445332
skyboxes	0.0441395
"phone line"	0.0441231
"public square"	0.0440327
"bond rating"	0.043928
roundabout	0.0438891
))
(accessibility (desc 11149.6) (sims
affordability	0.13845
availability	0.126794
access	0.122414
transparency	0.100054
reliability	0.0955192
responsiveness	0.0948486
accountability	0.0934051
Openness	0.0894986
efficiency	0.0874968
convenience	0.084514
connectivity	0.0805961
competitiveness	0.0788296
dissemination	0.0776116
durability	0.0756724
liquidity	0.0752724
mobility	0.074867
portability	0.0743241
customization	0.0737659
"customer service"	0.0735971
fairness	0.0730252
diversification	0.072495
flexibility	0.0722385
usage	0.0718649
diversity	0.0716204
competence	0.0713508
distribution	0.0708084
sophistication	0.0707321
decommissioning	0.0706016
literacy	0.0703773
cost-effectiveness	0.0699771
bandwidth	0.0692055
attractiveness	0.0688477
sanitation	0.0684733
marketability	0.0683349
versatility	0.0682707
suitability	0.0679232
cleanliness	0.0677193
timeliness	0.0673703
professionalism	0.0673472
awareness	0.0660845
interactivity	0.0657074
predictability	0.0656235
sustainability	0.0654141
capability	0.065199
relevance	0.0649133
interoperability	0.0648087
decentralization	0.0644763
democratization	0.0640701
profitability	0.064054
consistency	0.0639544
effectiveness	0.063731
outreach	0.0635238
"quality of life"	0.0635158
confidentiality	0.0634805
proficiency	0.0632264
sensitivity	0.0631126
hygiene	0.063024
freshness	0.0627478
competency	0.0622414
friendliness	0.0619352
functionality	0.0618426
honesty	0.0615702
pricing	0.0613468
retention	0.0611065
accuracy	0.0609567
uniformity	0.0608897
productivity	0.060829
adaptability	0.0608126
nutrition	0.0607906
breadth	0.0605843
governance	0.0600958
intimacy	0.0587226
clarity	0.0585677
dynamism	0.0584101
inaccessibility	0.0583818
acceptability	0.0581332
comfort	0.0581021
pervasiveness	0.057904
delivery	0.0574069
Privacy	0.0573543
"investment climate"	0.0570507
compatibility	0.056719
disclosure	0.0566805
fragmentation	0.0566323
infrastructure	0.0562011
utilization	0.0560363
punctuality	0.0560261
Creativity	0.0559671
visibility	0.0554974
teamwork	0.055416
credibility	0.055118
exposure	0.054535
cohesiveness	0.054441
transportation	0.0542843
tolerance	0.0540103
compliance	0.0539126
standardization	0.0538754
equality	0.053724
authenticity	0.0534448
"standard of living"	0.0531699
quickness	0.0531478
acceptance	0.0529526
immediacy	0.0526207
"economies of scale"	0.0525315
spontaneity	0.0524896
knowledge	0.0522845
parking	0.0520233
"information service"	0.0520173
usefulness	0.0520131
maneuverability	0.0519822
readiness	0.051905
excellence	0.0517665
simplicity	0.0517316
stability	0.0517207
"creature comforts"	0.0515916
compassion	0.0515528
density	0.0515038
financing	0.0514352
self-confidence	0.0513521
linkage	0.0511346
employment	0.0511152
"sense of responsibility"	0.0511016
trustworthiness	0.0509383
boldness	0.0508956
sharing	0.0506969
ethic	0.0506689
integrity	0.0506448
vitality	0.0504858
vulnerability	0.0504707
Proliferation	0.0503861
innovation	0.0503656
purity	0.0503648
"quality control"	0.0503285
"health care"	0.0503071
empowerment	0.0502973
stamina	0.0502338
"market penetration"	0.0502087
coherence	0.0501795
longevity	0.0498854
enforcement	0.0498079
toughness	0.0497838
disservice	0.049524
self-esteem	0.0492848
viability	0.0488483
logistics	0.0488052
proximity	0.0485199
familiarity	0.0484161
endurance	0.0483456
ownership	0.0483172
popularization	0.0482774
loyalty	0.0482073
licensing	0.0479455
understanding	0.0479367
sincerity	0.0479029
fitness	0.047614
agility	0.0475462
adoption	0.0475139
urbanization	0.047411
lending	0.0471844
"health service"	0.0470364
storage	0.0470226
originality	0.0467683
enhancement	0.0467514
clout	0.0467195
richness	0.0466951
exclusivity	0.0465983
generosity	0.0465128
complexity	0.0464063
"mutual understanding"	0.046348
"job security"	0.0462582
popularity	0.0461998
completeness	0.0461524
adequacy	0.0461494
equity	0.0460436
penetration	0.0460233
"medical care"	0.0459084
self-reliance	0.045825
cohesion	0.0458241
maintenance	0.0457292
scope	0.0457115
prosperity	0.0456579
remoteness	0.0456255
recruitment	0.0456162
registration	0.0455372
supervision	0.0455097
expertise	0.0454968
allocation	0.0454887
potency	0.0454577
"shareholder value"	0.0453923
inconvenience	0.0453144
"internal control"	0.045296
Encryption	0.0451913
"social status"	0.0451644
signage	0.0451231
prestige	0.0449884
aggressiveness	0.0449492
preparedness	0.0448975
alertness	0.0448603
practicality	0.0446815
charisma	0.0445576
))
(accession (desc 29056.5) (sims
entry	0.18109
membership	0.157612
reunification	0.139739
integration	0.135007
admission	0.132867
Liberalization	0.128507
resumption	0.126106
normalization	0.124585
enlargement	0.118393
Implementation	0.115721
ratification	0.114232
"free trade"	0.112268
unification	0.108323
admittance	0.10633
adhesion	0.105083
reform	0.104729
handover	0.101026
cooperation	0.0998539
participation	0.0996718
establishment	0.0984965
Privatization	0.0951687
peace	0.0941147
demilitarization	0.0931333
development	0.092694
disarmament	0.0913682
settlement	0.0894425
withdrawal	0.087278
repatriation	0.0870165
PNTR	0.0866944
democratization	0.0849591
expansion	0.0847273
adherence	0.0846362
reconciliation	0.0846099
inclusion	0.0842316
deregulation	0.0832424
redeployment	0.082828
stability	0.0821604
deployment	0.0821426
globalization	0.0819926
transfer	0.0806073
"trade agreement"	0.0802007
pullout	0.0801416
restoration	0.0800585
adoption	0.0798467
agreement	0.0797834
solution	0.0797567
formation	0.0794595
transition	0.0788061
realization	0.0779132
lifting	0.0777402
pullback	0.0775021
accord	0.0770411
consolidation	0.0769271
restructuring	0.076919
"trade relation"	0.0765954
"arms control"	0.0764265
negotiation	0.0762123
creation	0.0758737
pact	0.0758318
progress	0.0753835
rapprochement	0.0752587
Treaty	0.0747351
WTO	0.0746918
signing	0.0746752
modernization	0.0741204
surrender	0.0738878
independence	0.0728599
renewal	0.0727924
relation	0.0727115
strengthening	0.0724926
merger	0.072121
reduction	0.0718819
resolution	0.071223
continuation	0.0709408
recovery	0.0706284
"peace treaty"	0.0704275
acceptance	0.0702409
convening	0.0701107
Promotion	0.0699156
demarcation	0.0696277
industrialization	0.0693891
cease-fire	0.0690557
advancement	0.0687267
incorporation	0.068712
EMU	0.0686661
dialogue	0.0683169
dialog	0.0678113
ascension	0.0673198
secession	0.0672737
"military action"	0.0672586
status	0.0669507
"Agenda @@@@"	0.0669053
takeover	0.0668134
bid	0.0667029
joining	0.066398
"foreign policy"	0.0660751
reconstruction	0.0656382
opening	0.0654284
sovereignty	0.0653291
"trading partner"	0.0653175
prosperity	0.0652022
reentry	0.0645492
EU	0.0642527
stabilization	0.0640197
ceasefire	0.0638113
introduction	0.06365
eradication	0.0636304
statehood	0.0634967
summit	0.0634747
abolition	0.0634109
opening-up	0.0630756
application	0.0629692
unity	0.0625239
election	0.062519
convertibility	0.0623433
reopening	0.0623375
liberation	0.0622967
"customs union"	0.0620345
equality	0.061679
framework	0.061365
"European Union"	0.0613157
growth	0.061189
democracy	0.0611111
access	0.0609997
approval	0.060876
stance	0.0606789
"trade policy"	0.0605361
issuance	0.0604847
improvement	0.0604782
"human right"	0.0603505
assistance	0.0603498
signatory	0.0602628
"human rights"	0.0596928
intervention	0.059668
"World Trade Organization"	0.0595712
recognition	0.0594238
completion	0.0588586
"market reform"	0.0588365
enforcement	0.0587914
protocol	0.0587688
legislation	0.0586222
Syrian-Israeli	0.0584751
governance	0.0584435
Cyprus	0.0583399
"land reform"	0.0581442
candidacy	0.0580259
"defense policy"	0.0579389
transformation	0.057882
arrangement	0.0578224
CTBT	0.0576777
FTA	0.0574596
extradition	0.0572572
"development strategy"	0.0572149
"state visit"	0.0570348
harmonization	0.0568676
agriculture	0.056867
"legal system"	0.0567852
elimination	0.0567666
acquisition	0.0567489
immigration	0.05662
initiative	0.0565535
"European Monetary Union"	0.0565521
construction	0.0564796
"National Day"	0.0563766
compromise	0.0563492
security	0.0562136
Declaration	0.0561521
commitment	0.0560879
conclusion	0.0559327
achievement	0.055883
enactment	0.055778
friendship	0.0557658
"Free Trade Area"	0.0557333
proposal	0.0557299
consultation	0.0555255
"economic policy"	0.0554703
easing	0.0553397
urbanization	0.0552939
bailout	0.0551734
removal	0.055173
referendum	0.0550591
mediation	0.0550239
invasion	0.0549855
"trading system"	0.0549691
appointment	0.0549638
Israeli-Syrian	0.0548751
protection	0.0548742
"summit meeting"	0.054554
partnership	0.0545266
tourism	0.0545147
formulation	0.0543881
revision	0.0541821
extension	0.0541673
Sino	0.0540217
adjustment	0.0537283
Non-Proliferation	0.0534604
rejuvenation	0.0533273
separation	0.0532971
readjustment	0.0532134
hosting	0.05302
))
(accessory (desc 39757.1) (sims
jewelry	0.166791
furnishings	0.16116
Clothing	0.151939
apparel	0.150148
footwear	0.149593
furniture	0.148458
"household appliance"	0.148189
appliance	0.141831
toy	0.135997
cosmetic	0.131066
housewares	0.130277
shoe	0.129885
handbag	0.128761
cloth	0.127389
garment	0.127229
item	0.122324
ornament	0.11174
utensil	0.111697
sportswear	0.110444
textile	0.109176
electronics	0.107598
"home appliance"	0.105595
goods	0.104855
product	0.104627
"consumer electronics"	0.104558
equipment	0.103518
gadget	0.102685
"electronic equipment"	0.102445
handicraft	0.102131
knitwear	0.101921
kitchenware	0.100699
"building material"	0.100497
bedding	0.0998302
collectibles	0.0997006
tool	0.098246
lingerie	0.0977439
machinery	0.0975193
"consumer goods"	0.0972654
hardware	0.0970885
peripheral	0.0960661
ceramic	0.0959451
dress	0.0958838
scarf	0.0956152
toiletry	0.0951268
fabric	0.0950343
sweater	0.0947357
"sports equipment"	0.0945977
merchandise	0.093961
foodstuff	0.0937339
tableware	0.0936196
gear	0.0934631
Fragrance	0.0928713
"spare part"	0.0922169
cookware	0.0921661
decoration	0.091657
jewellery	0.0906483
stationery	0.0898336
perfume	0.0893568
antique	0.089193
component	0.0882281
souvenir	0.0880143
sneaker	0.0877759
sunglasses	0.0863812
hat	0.0855538
lamp	0.0854652
rug	0.0845195
underwear	0.0844403
"machine tool"	0.0836152
leather	0.0833345
"greeting card"	0.0831667
costume	0.0830103
"communications equipment"	0.0826258
"integrated circuit"	0.0807346
T-shirt	0.08032
doll	0.0802752
device	0.0799892
carpet	0.0797504
food	0.0797303
Pottery	0.0797048
"food product"	0.0795059
memorabilia	0.0792499
swimsuit	0.0792107
glassware	0.0788904
jacket	0.078831
Outfit	0.0785248
sandal	0.0784388
material	0.0781589
"computer equipment"	0.0778487
trinket	0.0775906
shirt	0.0773709
jean	0.0769392
printer	0.0768935
air-conditioner	0.0767885
knickknack	0.0767507
pharmaceutical	0.076538
sock	0.0763621
automobile	0.0759423
ware	0.0758814
plastic	0.0757796
timepiece	0.0755925
semiconductor	0.0755378
gift	0.0752051
commodity	0.0744065
skirt	0.0743826
quilt	0.0742416
coat	0.0742163
kit	0.0741099
instrument	0.0735781
fashion	0.0735664
upholstery	0.0733882
eyeglass	0.0732816
object	0.0730348
copier	0.0729713
software	0.0727283
beverage	0.0725577
silk	0.0722636
decor	0.0721522
fur	0.0721149
linen	0.0720663
bracelet	0.0720346
vest	0.0720103
"personal computer"	0.0718387
design	0.0717249
"television set"	0.0714002
paint	0.0713201
"durable goods"	0.0711888
conditioner	0.0710946
gown	0.0710804
Computer	0.070821
"musical instrument"	0.0708143
"raw material"	0.0705806
shawl	0.07033
pant	0.0702294
hosiery	0.0699431
wallpaper	0.0698931
necklace	0.0697097
mask	0.06967
boot	0.069595
headgear	0.069528
bag	0.0694283
"scientific instrument"	0.069064
"tv set"	0.068968
"software product"	0.0688571
auto	0.0688089
headdress	0.0685576
battery	0.0683794
wardrobe	0.0681774
artifact	0.0681471
tile	0.0681276
"motor vehicle"	0.0679972
candy	0.0679209
"picture frame"	0.0679053
"running shoe"	0.0678717
earring	0.0675758
wig	0.0673955
machine	0.0672787
Lighting	0.0671261
paraphernalia	0.0670485
camera	0.0669824
color	0.0668593
luggage	0.0668241
blanket	0.0668194
fertilizer	0.0666789
diaper	0.0666512
flower	0.0666485
fitting	0.0664119
adornment	0.0660515
"bathing suit"	0.0659557
"sewing machine"	0.0657582
"electronic device"	0.0657267
"circuit board"	0.0656109
medicine	0.0655997
adapter	0.0655039
hairstyle	0.0654758
towel	0.0653377
backpack	0.0653147
"disk drive"	0.065299
"computer hardware"	0.0652926
loafer	0.0650229
"video game"	0.0649884
wine	0.0649791
bra	0.0647738
"blue jean"	0.0647649
accouterment	0.0647449
metal	0.0647408
artwork	0.0646914
amenity	0.0645688
makeup	0.0642527
grocery	0.064232
embroidery	0.0642212
prop	0.064132
"piece of furniture"	0.0639294
candle	0.0637096
"frozen food"	0.0635583
slipper	0.0634895
boutique	0.0633863
glove	0.0633455
figurine	0.0633418
button	0.063295
porcelain	0.0623991
))
(accident (desc 146976) (sims
crash	0.285521
incident	0.222916
explosion	0.202318
disaster	0.189059
Collision	0.187655
tragedy	0.165238
mishap	0.164014
Death	0.160523
shooting	0.156814
earthquake	0.152618
bombing	0.152459
attack	0.152223
spill	0.151623
blast	0.150598
wreck	0.149829
fire	0.145215
massacre	0.141047
injury	0.138023
killing	0.137212
fatality	0.137121
Quake	0.136274
illness	0.135521
"fatal accident"	0.134082
crime	0.130442
violence	0.130277
"heart attack"	0.129381
flood	0.126591
"bomb blast"	0.125288
outbreak	0.124423
arrest	0.123565
failure	0.118615
problem	0.118513
riot	0.117573
murder	0.117227
slaying	0.115002
landslide	0.114908
raid	0.11484
catastrophe	0.114047
clash	0.113808
suicide	0.113436
collapse	0.113237
disease	0.112188
theft	0.112101
storm	0.108577
tornado	0.107662
epidemic	0.107651
homicide	0.107145
loss	0.106676
violation	0.104606
case	0.103949
robbery	0.103122
scandal	0.102593
mistake	0.102172
kidnapping	0.101764
abuse	0.101166
blaze	0.101054
leak	0.100914
damage	0.100382
assault	0.100271
crisis	0.100144
derailment	0.100069
strike	0.0998903
pollution	0.0994283
beating	0.0993342
calamity	0.0992692
infection	0.0988466
breakdown	0.0988181
disruption	0.0975085
operation	0.0969615
poisoning	0.0967227
conflict	0.0966354
cancer	0.0961161
assassination	0.0953619
stroke	0.0952518
delay	0.0952382
abduction	0.094954
event	0.0948842
disappearance	0.0948298
fighting	0.0940962
glitch	0.0940846
drought	0.0937849
hijacking	0.0932773
contamination	0.0930165
war	0.0929219
"forest fire"	0.0922647
casualty	0.0922426
"heart disease"	0.0917499
unrest	0.0916097
seizure	0.0916026
situation	0.0915278
eruption	0.0913426
pileup	0.0911635
coup	0.0910361
disturbance	0.0908509
activity	0.0900243
complication	0.0900234
error	0.0893556
trauma	0.0887417
"air pollution"	0.0885503
shortage	0.088422
rape	0.0875572
traffic	0.0874282
confrontation	0.0872635
"health problem"	0.0868289
sinking	0.0866618
defect	0.0863786
action	0.085922
ambush	0.0849987
atrocity	0.0848437
famine	0.0844489
outage	0.084378
fraud	0.0837527
trouble	0.0836973
turmoil	0.0830671
"power failure"	0.0828951
"economic crisis"	0.0827556
rioting	0.0827535
ailment	0.0822251
hurricane	0.0821687
irregularity	0.0820724
coincidence	0.0819445
condition	0.0815707
recession	0.0814984
shutdown	0.0809643
rampage	0.0808022
bloodshed	0.0806534
surgery	0.0805191
weather	0.080135
emergency	0.0801195
"lung cancer"	0.0796917
setback	0.0796915
"flash flood"	0.0795892
bomb	0.0795547
corruption	0.0795204
occurrence	0.0794184
behavior	0.079299
rain	0.079287
crises	0.0792164
act	0.0790392
debacle	0.0787665
mudslide	0.07866
downturn	0.0785869
malnutrition	0.0785095
practice	0.0784103
unemployment	0.0783346
decline	0.0781415
"heat wave"	0.0781139
chaos	0.0779985
arson	0.0777193
phenomenon	0.0776516
tremor	0.0774937
hazard	0.0774077
snowstorm	0.0772967
malfunction	0.0772507
carnage	0.0771279
encounter	0.0770772
exposure	0.0770377
pregnancy	0.0769116
test	0.0766801
firing	0.0766485
"traffic jam"	0.0765782
divorce	0.0765478
overdose	0.0764135
scare	0.0760222
brawl	0.07588
circumstance	0.075856
episode	0.0756285
wildfire	0.0754602
malaria	0.0754472
disorder	0.0752223
outages	0.0751909
blackout	0.0748543
pneumonia	0.0742279
sickness	0.0741296
flight	0.0739628
congestion	0.0739043
poverty	0.0736942
cancellation	0.0736127
virus	0.0735808
devaluation	0.0735359
slump	0.0734175
complaint	0.0731855
altercation	0.0731447
invasion	0.0724445
birth	0.0723151
avalanche	0.0721832
threat	0.072134
harassment	0.0720707
decision	0.0719523
slowdown	0.0719307
layoff	0.0719173
meltdown	0.0718556
election	0.0718182
burglary	0.0717882
demonstration	0.0717471
break-in	0.0717374
toll	0.0717195
terrorism	0.0715329
genocide	0.0714641
protest	0.071442
))
(acclaim (desc 15800.7) (sims
accolade	0.129015
notoriety	0.128835
praise	0.124001
adulation	0.117136
fame	0.10448
applause	0.1013
renown	0.0931951
rave	0.0923165
ovation	0.0915123
recognition	0.0895588
"Academy Award"	0.0890081
admiration	0.0888613
"Golden Globe"	0.0876978
plaudit	0.0869229
attention	0.0836204
Emmy	0.0800996
scorn	0.0799783
esteem	0.0798466
kudos	0.078872
"Tony Award"	0.0783296
prize	0.0782866
publicity	0.0731983
sympathy	0.0725048
buzz	0.0721781
cheer	0.0717756
Emmys	0.0714457
respectability	0.0706818
acceptance	0.0704524
clout	0.0691829
Grammys	0.0685461
reputation	0.0680316
prestige	0.0674533
fanfare	0.0662256
condemnation	0.0655486
popularity	0.0647877
stardom	0.0641193
enthusiasm	0.0639822
appreciation	0.0636624
derision	0.0631443
"standing ovation"	0.0630237
flak	0.0624512
"Emmy Award"	0.0621687
"Pulitzer Prize"	0.0619433
prominence	0.0613323
outcry	0.0606461
criticism	0.0605323
stature	0.0600986
affection	0.0599203
"National Book Award"	0.0588424
airplay	0.058726
nomination	0.0586195
"Emmy Awards"	0.0586126
Grammy	0.058491
commendation	0.0575567
"positive feedback"	0.0573797
ridicule	0.0573035
cachet	0.0570367
feedback	0.0566131
Oscar	0.0565682
gratitude	0.0563543
outrage	0.0548814
scrutiny	0.0543969
excitement	0.0540077
inspiration	0.0538764
acclamation	0.0535896
skepticism	0.0534698
satisfaction	0.053325
"Eclipse Award"	0.0529055
celebrity	0.0524867
adoration	0.0523459
Tonys	0.0519032
immortality	0.0514707
credibility	0.0510823
"peace of mind"	0.0509926
"good fortune"	0.0508946
readership	0.0505156
uproar	0.0501714
expectation	0.0500998
passion	0.0498223
happiness	0.0497346
laughter	0.0493465
glory	0.0490494
outpouring	0.0486683
"breathing room"	0.0486236
accreditation	0.0484187
empathy	0.0483152
encouragement	0.0480108
"Tony Awards"	0.0478924
"top billing"	0.0474232
wealth	0.0474052
gratification	0.0472955
backing	0.0471551
consternation	0.0470917
following	0.0465619
charisma	0.0463624
loyalty	0.046159
disdain	0.0459313
clamor	0.0459181
jeer	0.0459164
hype	0.0455862
"Nobel Peace Prize"	0.0453065
"TV audience"	0.0452476
flop	0.0452172
YAWN	0.0450852
dismay	0.0450485
riches	0.0449578
hoopla	0.0448901
resentment	0.0448203
ire	0.0446844
sainthood	0.0446381
endorsement	0.0442283
leverage	0.0442185
redemption	0.0440288
resonance	0.044018
visibility	0.0437873
exposure	0.0435318
curiosity	0.0434182
"Purple Heart"	0.0430587
infamy	0.0429468
dignity	0.0428831
prosperity	0.0424025
Leeway	0.0423296
headway	0.0421421
profitability	0.0419718
controversy	0.0418874
compassion	0.0418493
oomph	0.0416599
downtime	0.041602
fascination	0.0415962
enlightenment	0.0413145
acknowledgement	0.0412323
Luck	0.0411213
certification	0.0409179
traction	0.0408403
pedigree	0.0407511
ambition	0.0407362
sensation	0.0406733
momentum	0.0405358
expertise	0.0404924
affinity	0.0404392
"good will"	0.0403681
consensus	0.0403488
adversity	0.0403204
rejoicing	0.0401929
chagrin	0.0401817
accountability	0.0401362
hand-wringing	0.0401005
))
(acclamation (desc 2329.03) (sims
"absolute majority"	0.0890663
plaudit	0.0814883
"proportional representation"	0.0730397
dint	0.0726928
suffrage	0.070272
"Selection Committee"	0.0693569
"Consultative Assembly"	0.0668649
"Council of Guardians"	0.0658102
"honorable mention"	0.0578938
ovation	0.0571223
"King Birendra"	0.0563035
obeisance	0.0562759
opprobrium	0.0549565
"standing ovation"	0.0548199
jeer	0.0544233
"electoral college"	0.0541589
send-off	0.0511856
"U.N. Sanctions Committee"	0.0500402
TKO	0.0497558
"Philippine Senate"	0.0493628
"Texas Legislature"	0.0482471
"antitrust regulator"	0.0478314
MPR	0.0474581
"Emmy Award"	0.0470125
salutation	0.046583
"Election Committee"	0.0455055
mid-March	0.0452264
narrowest	0.0451964
"Nevada State Athletic Commission"	0.0449973
"Holy Spirit"	0.044873
"board of regents"	0.0445634
knighthood	0.0430685
renomination	0.0429813
"disability payment"	0.0415385
happenstance	0.0410079
"order form"	0.0408807
"Ministry of Posts"	0.0403541
M.A	0.0400028
))
(accolade (desc 10062.2) (sims
plaudit	0.158619
praise	0.146681
adulation	0.137167
acclaim	0.129015
kudos	0.118869
ovation	0.0969011
rave	0.0932922
applause	0.0916845
admiration	0.0873662
"standing ovation"	0.0865095
commendation	0.0856457
Emmy	0.0850599
compliment	0.0839839
prize	0.0815346
"Golden Globe"	0.0775047
"Academy Award"	0.0767721
jeer	0.0752431
scorn	0.0748646
notoriety	0.0732372
"Nobel Peace Prize"	0.0724765
honour	0.0723378
flak	0.0720623
recognition	0.0720467
derision	0.0702645
sympathy	0.069582
endorsement	0.0693647
Grammys	0.0692227
"Gold Gloves"	0.0688851
Grammy	0.0686388
adoration	0.0685822
boo	0.0670599
Emmys	0.0665573
opprobrium	0.0643333
"honorable mention"	0.0643012
renown	0.0635296
"honorary degree"	0.0629094
airplay	0.0620576
buzz	0.0612149
"Medal of Honor"	0.0610534
superlative	0.0605533
knighthood	0.0599431
"first pole"	0.0597829
condemnation	0.0594922
trophy	0.0591792
fame	0.0591713
affection	0.0579655
hype	0.0578874
accomplishment	0.0568525
"Pulitzer Prize"	0.0566919
"prize money"	0.0565813
citation	0.0563563
Oscar	0.0562697
nomination	0.0552816
"Purple Heart"	0.0551499
"top billing"	0.0548698
ribbing	0.0546707
scrutiny	0.0542894
"Tony Award"	0.0539001
acceptance	0.053616
encouragement	0.0533903
publicity	0.0528986
glory	0.052838
"Nobel prize"	0.0525626
appreciation	0.0522817
nod	0.0521011
prestige	0.051815
perk	0.0515199
indignity	0.0511979
congratulation	0.0508044
"Eclipse Award"	0.0504487
Flattery	0.0504344
hoopla	0.0502327
"Emmy Award"	0.0501541
stats	0.0500799
enthusiasm	0.0500331
esteem	0.0500128
immortality	0.049659
"Pulitzer Prizes"	0.0494361
largesse	0.0494136
paycheck	0.0492806
gratitude	0.0492318
stardom	0.0488138
"seal of approval"	0.0486503
feedback	0.0483843
catcall	0.0483653
riches	0.0483103
"dividend payment"	0.0481736
testimonial	0.0481261
backing	0.0480052
clout	0.0478076
aggravation	0.0477445
howl	0.0476859
imitator	0.0476616
"Tony Awards"	0.0474999
disappointment	0.0473481
hilarity	0.0473227
tidbit	0.0473112
"Emmy Awards"	0.047272
skepticism	0.0469353
"Distinguished Flying Cross"	0.0468625
affirmation	0.0468044
ballgames	0.04665
chatter	0.0465138
salutation	0.0464515
Tonys	0.0463321
intangible	0.0462306
assurance	0.0461104
rebuke	0.0459867
"breathing room"	0.0459119
distinction	0.0458045
goody	0.0457562
fanfare	0.0453389
bonus	0.0452335
excitement	0.0451829
outcry	0.0451368
"marriage proposal"	0.0449544
laughter	0.0447484
firsts	0.0446727
"breathing space"	0.0441102
deportee	0.0440884
adjective	0.0439161
credential	0.0438704
credibility	0.0437438
"Gold Glove"	0.0436484
sendoff	0.0434905
"Christmas gift"	0.0434813
confirmation	0.0433928
negativity	0.0432263
thanks	0.0430868
"cold shoulder"	0.0429466
"two pitchers"	0.0426926
acknowledgment	0.0426455
reprieve	0.0426395
"Academy Awards"	0.0425939
gizmo	0.0425664
"phone call"	0.042494
stature	0.0423696
entreaty	0.0418924
disdain	0.0418618
"margin call"	0.0418354
oomph	0.0416949
distraction	0.0415418
input	0.0414922
"sum of money"	0.0414716
respectability	0.0414642
handshake	0.0414195
assent	0.041419
enticement	0.0414056
statuette	0.0413979
judgment	0.0413241
"birthday present"	0.0412795
"day of rest"	0.041176
loyalty	0.0411612
rep	0.0409383
sobriquet	0.0408877
happiness	0.0406679
fellowship	0.0404934
wellwisher	0.0403554
handicappers	0.0403472
doubter	0.0402664
"Bronze Star"	0.0402594
"positive feedback"	0.0402485
stipend	0.0401391
"break of serve"	0.040084
backlash	0.0400818
))
(accommodation (desc 42290.2) (sims
lodging	0.253913
Housing	0.130764
"medical care"	0.11829
transportation	0.112758
"hotel room"	0.106229
amenity	0.101905
meal	0.101547
fare	0.100593
hotel	0.0995008
parking	0.0988433
rental	0.0948774
"child care"	0.0936514
Entertainment	0.089733
facility	0.0896271
room	0.0895372
service	0.0890846
ticket	0.088436
dining	0.0881075
shelter	0.087552
travel	0.0874017
seating	0.0873052
employment	0.0854065
airfare	0.0834747
care	0.0831495
food	0.0825469
suite	0.0824322
insurance	0.0807384
"health care"	0.0798148
allowance	0.0794833
rent	0.0793865
cruise	0.0792654
access	0.0789332
"day care"	0.0784303
compromise	0.0782777
transport	0.0782134
discount	0.0771617
counseling	0.0761704
assistance	0.0760892
Tuition	0.0756367
apartment	0.0755203
protection	0.0750788
"health insurance"	0.0750328
"health service"	0.0749381
"legal representation"	0.0748737
sightseeing	0.0741257
shopping	0.0736107
dinner	0.0730736
breakfast	0.0723424
schooling	0.0722968
sanitation	0.0720167
convenience	0.0719423
merchandise	0.0718326
benefit	0.0716091
cabin	0.0716024
education	0.0706233
compensation	0.0702981
package	0.069946
stays	0.0698525
financing	0.0696521
condo	0.0696285
logistics	0.0694483
"social service"	0.0694432
treatment	0.069321
incentive	0.069303
space	0.0688139
recreation	0.0684259
communication	0.0683712
"office space"	0.0683519
"vocational training"	0.0682571
attraction	0.067976
training	0.0679451
reservation	0.0676076
arrangement	0.0674291
infrastructure	0.0671728
restaurant	0.0670981
inn	0.0670334
expense	0.0666194
"drinking water"	0.0663696
catering	0.0662219
equipment	0.065924
perk	0.0656442
funding	0.0651947
"air travel"	0.0651304
subsidy	0.0650638
supply	0.0650409
buffet	0.0649964
"telephone service"	0.0648348
Clothing	0.0647915
pension	0.0646594
"real estate"	0.0641123
option	0.0640022
coverage	0.0639529
luxury	0.0637616
"water supply"	0.0634892
fee	0.0633342
medical	0.0633138
security	0.0631392
electricity	0.0630317
"prescription drug"	0.0630278
motel	0.0629408
"living quarters"	0.0627439
information	0.0626044
occupancy	0.0624005
"work permit"	0.0622765
visa	0.0618698
vacation	0.0616393
"plane ticket"	0.0614244
bed	0.061411
admission	0.0613442
comfort	0.0612742
job	0.0612091
gift	0.0610696
environment	0.0609682
excursion	0.0608483
"training program"	0.0608375
maintenance	0.0608172
activity	0.0606003
condominium	0.0603928
upgrade	0.0603711
"tax break"	0.060345
refuge	0.0601016
item	0.0599879
wage	0.0599706
voucher	0.0598441
storage	0.0597894
destination	0.0595187
itinerary	0.0593857
wine	0.0593725
medicine	0.0593225
payment	0.0590962
"financial aid"	0.0590234
seat	0.058711
warehousing	0.0587008
reconciliation	0.05822
living	0.0581724
"food supply"	0.057917
refund	0.0578843
material	0.0578303
resource	0.0575759
medication	0.0575756
concession	0.057565
privilege	0.0575451
condition	0.057401
"phone service"	0.0573548
scholarship	0.0572124
lunch	0.0571915
nutrition	0.0571743
distribution	0.0571693
opportunity	0.0571592
Promotion	0.0570893
bargain	0.0570252
documentation	0.0569282
hospitality	0.0567697
getaway	0.0567029
subscription	0.0565222
asylum	0.0564942
goods	0.0564633
shipping	0.0564452
refreshment	0.0563842
spas	0.0563697
repair	0.0563196
toilet	0.0562838
"equal opportunity"	0.0561342
"consumer goods"	0.0560462
lodge	0.0560156
cottage	0.0559922
solution	0.0559477
healthcare	0.0557762
relief	0.05564
aid	0.0555372
location	0.0555163
booking	0.0553368
"customer service"	0.0552998
registration	0.055239
reception	0.0552325
"wage increase"	0.0551797
furniture	0.0551714
credit	0.0551033
"public utility"	0.0549178
procedure	0.0548801
flexibility	0.0548709
mortgage	0.0546517
resettlement	0.054642
guide	0.05455
"medical aid"	0.0544307
listing	0.0544065
safety	0.0543825
banking	0.0541996
development	0.0541669
stipend	0.0540761
childcare	0.0540741
venue	0.0540688
salary	0.0540069
souvenir	0.0539359
lease	0.0538441
alternative	0.053797
sponsorship	0.0536757
"health benefit"	0.0536229
loan	0.0536126
tool	0.0535455
))
(accompaniment (desc 13590.2) (sims
tune	0.0672358
melody	0.0642764
riff	0.0608056
"side dish"	0.0605824
rhythm	0.0605425
rendition	0.0604025
lyric	0.0578385
soundtrack	0.057586
intro	0.0570987
virtuosity	0.0566479
virtuoso	0.0557332
solo	0.0547359
ensemble	0.0545727
Recording	0.0542187
orchestration	0.0536898
counterpoint	0.0535875
chorus	0.0530089
sonority	0.0523942
"sound effect"	0.0499298
entree	0.0495123
repertory	0.0488399
accompanist	0.0483007
chord	0.0481062
transcription	0.0479859
vocals	0.0479409
soloist	0.0469577
backdrop	0.0467424
embellishment	0.0461745
lead-in	0.0459843
concerto	0.0451747
crescendo	0.0447463
groove	0.0445578
singing	0.0444183
cadence	0.0437887
appetizer	0.0435482
conducting	0.0435225
interlude	0.0433679
voice-overs	0.0431217
symphony	0.0430237
sendoff	0.0428542
arranger	0.0427748
repertoire	0.0427413
"dance music"	0.0425353
ditty	0.0425074
recital	0.0421724
phrasing	0.0413495
guitar	0.0412253
libretto	0.0403416
duet	0.0402988
epilogue	0.0402839
texture	0.040097
))
(accompanist (desc 2213.2) (sims
instrumentalist	0.129919
organist	0.129137
bandleader	0.120426
arranger	0.117698
musicologist	0.0969783
pianist	0.0958192
conductor	0.0922135
violinist	0.092207
stylings	0.0892584
flutist	0.0890925
soloist	0.0857599
sextet	0.0826499
choreographer	0.0809538
illustrator	0.0801324
guitarist	0.0791099
songwriter	0.074201
lyricist	0.0730512
virtuoso	0.0706211
"jazz musician"	0.068451
bassist	0.0672587
"costume designer"	0.0670378
"baseball coach"	0.0664947
"piano player"	0.0651032
"guitar player"	0.0647242
"disc jockey"	0.0644845
recital	0.0642803
linguist	0.0637855
vocalist	0.0636196
"good person"	0.0624179
beautician	0.0620456
"school principal"	0.0607222
baritone	0.0607183
offstage	0.0606337
clarinetist	0.0597744
"stage director"	0.059096
picker	0.0589622
drummer	0.0586136
intro	0.0575932
crewmates	0.0575071
entertainer	0.0552762
Solver	0.0552434
"big leaguer"	0.0552204
"football coach"	0.0539267
"altar boy"	0.0535951
"stage manager"	0.0531682
cartoonist	0.0527167
draftsman	0.0526651
puppeteer	0.0526312
avocation	0.0525526
raconteur	0.0518369
"public speaker"	0.0518093
co-writer	0.0514702
"Diana Krall"	0.0510908
"leading lady"	0.051038
"music director"	0.0509044
"music teacher"	0.0508372
prodigy	0.0507874
keyboardist	0.0506557
screenwriter	0.0504847
quintet	0.0503003
repertoire	0.0502622
"music critic"	0.0502054
"art director"	0.0501896
"literary agent"	0.0501764
"English teacher"	0.0501566
stepbrother	0.0498314
bookkeeper	0.0498151
"film star"	0.0496627
handicapper	0.0494455
storyteller	0.0492651
oncologist	0.0491738
schoolmate	0.0491069
saxophonist	0.0489029
maestro	0.0486634
"chess player"	0.0484552
newsman	0.0483438
communicator	0.0483369
co-anchor	0.0483368
accompaniment	0.0483007
"press agent"	0.0482538
"bon vivant"	0.0481038
effervescence	0.047454
understudy	0.0474099
winemaker	0.047389
sportswriter	0.0472709
cinematographer	0.0472561
classicist	0.0469634
footballer	0.0469612
"sparring partner"	0.0469341
collaborator	0.0467872
chaperone	0.0464093
caretaker	0.0464002
charmer	0.0459408
acupuncturist	0.0457552
scriptwriter	0.0457266
pediatrician	0.0455054
"Old Trieste"	0.045464
filigree	0.045393
"interior decorator"	0.0453831
"black person"	0.0453745
photojournalist	0.0451046
pitchman	0.0448692
caddie	0.0448053
swinger	0.0446989
portraitist	0.0446584
"funeral director"	0.0445446
interviewer	0.0445386
"birthday present"	0.0445197
stinker	0.044384
rapper	0.0443428
"leading man"	0.044342
"English professor"	0.0443012
"talent scout"	0.0442486
improvisation	0.0442158
sprinter	0.0442018
savior	0.0441487
translator	0.0441263
"wholesale price index"	0.0441224
"hockey player"	0.044113
"role player"	0.043963
housemates	0.0439591
underling	0.043899
"bird watcher"	0.0437212
"basketball coach"	0.043396
"union representative"	0.0433926
"character actor"	0.0433116
"ballet dancer"	0.0431557
electrician	0.0431037
newspaperman	0.0430502
"community organizer"	0.0429575
librarian	0.0428476
plaything	0.0427625
homesickness	0.0426739
theoretician	0.042597
colorist	0.0425731
switch-hitter	0.0423683
doer	0.0423092
statesman	0.0422435
"acoustic guitar"	0.0422318
experimenter	0.0421399
"foster mother"	0.0420893
provocateur	0.0418243
"No. @s"	0.0418024
Holloway	0.0416739
punchline	0.0416055
"art teacher"	0.0414197
stylist	0.0414042
jurist	0.0413817
doorman	0.0413709
innkeeper	0.0413313
trumpeter	0.0412396
clinician	0.0411695
hostess	0.0411363
"family man"	0.0410727
"elder statesman"	0.0410472
hairdresser	0.0409975
theologian	0.0409393
folklorist	0.040915
dribbler	0.040767
Khrushchev	0.0406709
evaluator	0.0406053
"master of ceremonies"	0.0405927
oddball	0.0405699
"art historian"	0.0404098
"exotic dancer"	0.0402818
"letter writer"	0.0401606
"army engineer"	0.0401387
"traveling salesman"	0.04002
))
(accomplice (desc 20538.3) (sims
co-conspirator	0.163154
suspect	0.129261
ringleader	0.119202
conspirator	0.107079
defendant	0.103918
assailant	0.102014
attacker	0.0946814
perpetrator	0.0943919
guardsmen	0.0931661
complicity	0.0903602
terrorist	0.0894922
mastermind	0.0894271
robber	0.0884032
Rapist	0.0868017
juvenile	0.0852983
collaborator	0.0851008
murderer	0.0830892
"war criminal"	0.0829848
"drug dealer"	0.0821208
kidnapper	0.0809471
criminal	0.0802694
Killer	0.079488
gunman	0.0789351
smuggler	0.0787601
coconspirator	0.0787422
Hijacker	0.0786991
"Russell Peeler"	0.077943
spy	0.0765348
victim	0.0764489
fugitive	0.0751924
associate	0.0751409
accused	0.0750156
culprit	0.0747452
witness	0.0727694
Klansmen	0.0716863
sympathizer	0.0699246
eyewitness	0.0698963
burglar	0.0688266
accuser	0.0686879
escapee	0.0683985
co-defendants	0.0681742
informant	0.0679228
thief	0.0665782
gunmen	0.0663936
"prison guard"	0.0663671
"army officer"	0.0662795
"drug trafficker"	0.0658887
bodyguard	0.065532
"crew member"	0.065248
offender	0.0644702
felon	0.064435
bandit	0.0642402
abductor	0.0638222
mobster	0.0633926
al-Megrahi	0.0633426
gangster	0.0632616
supremacist	0.0632576
co-defendant	0.0632233
"Maturino Resendiz"	0.0623138
"police officer"	0.0620099
trafficker	0.0617794
wounded	0.0617122
"intelligence agent"	0.0614728
bystander	0.0611991
assassin	0.06108
Libyan	0.0610746
militant	0.0610482
policemen	0.0609965
Lieutenant	0.0609179
"serial killer"	0.0605502
"military officer"	0.0602793
Agca	0.059801
captive	0.0596272
violator	0.0595485
prisoner	0.0594581
kingpin	0.0593811
"Angel Maturino Resendiz"	0.0591991
dissident	0.058421
"Iranian Jews"	0.0583362
crewmen	0.0582642
policeman	0.0580156
mercenary	0.0578576
"Rafael Resendez-Ramirez"	0.0576402
Swango	0.0576366
companion	0.0574961
inmate	0.0572384
co-accused	0.0571736
gang	0.0571705
"white man"	0.0569892
intruder	0.0569726
serviceman	0.0566085
complicit	0.0564334
motive	0.0560561
Algerian	0.0557539
operative	0.0553194
hostage-takers	0.0551449
plaintiff	0.0551029
Resendez-Ramirez	0.054749
TORTURER	0.0547305
roommate	0.0546267
"child molester"	0.0545307
juror	0.0541778
saboteur	0.0540563
"FBI agent"	0.0540062
"cabinet minister"	0.0537261
involvement	0.0536432
"robbery suspect"	0.0534915
"intelligence analyst"	0.0533137
arsonist	0.0532657
hostage	0.0531702
bomber	0.0531166
conspiracy	0.0528637
pedophile	0.0527922
instigator	0.0525132
relative	0.052341
"intelligence officer"	0.0523046
Sergeant	0.0522427
innocent	0.0521763
survivor	0.052147
cousin	0.0517588
participant	0.0517553
"young man"	0.051666
"big spender"	0.0516069
"murder suspect"	0.0513961
aide	0.0513129
shooter	0.0511198
villager	0.0510074
neo-Nazis	0.0509669
"black man"	0.0508428
plotter	0.0508335
traitor	0.0508246
detainee	0.0507354
"drug lord"	0.050735
underling	0.0507334
schoolmate	0.0505055
"staff member"	0.0503947
thug	0.0502192
Kimeses	0.0499969
Confederate	0.0499107
classmate	0.0498871
Skakel	0.0498387
comrade	0.0498285
teen-ager	0.0498004
occupant	0.0491977
"Raul Salinas"	0.0491776
Pakistani	0.0491479
deserter	0.0491
infiltrator	0.049097
subordinate	0.0489312
follower	0.0488831
hooligan	0.0488345
informer	0.048483
priest	0.0484279
suitor	0.0481701
girlfriend	0.0478858
"truck driver"	0.0475697
Colombian	0.0474654
buddy	0.047355
middleman	0.0473049
"family member"	0.0472074
Karbaschi	0.0471511
starts.	0.0470339
rustler	0.0468648
sailor	0.0466555
"church member"	0.0466393
henchmen	0.0462832
Bulger	0.0462518
"John William King"	0.0461558
immigrant	0.0460746
Briton	0.0460696
co-worker	0.0460178
businessman	0.0457865
Gotti	0.0457471
panelist	0.0457428
fascist	0.0457019
executioner	0.0456909
Papon	0.0456623
poacher	0.045532
hacker	0.0455151
"first person"	0.0454703
jailer	0.0454675
looter	0.0454567
sniper	0.0453358
ex-convict	0.0452049
servicemen	0.0451996
abuser	0.0451633
acquaintance	0.0451227
"house guest"	0.0450308
Laden	0.0448706
firefighter	0.0448064
trooper	0.044598
detective	0.0445735
"secret agent"	0.0445146
Ressam	0.0444827
"political prisoner"	0.0444626
mistress	0.044378
"police sergeant"	0.0443306
guerrilla	0.0443189
brother-in-law	0.0443171
Frenchmen	0.0442346
))
(accomplishment (desc 56575.4) (sims
achievement	0.234499
success	0.152913
feat	0.136201
skill	0.121655
ability	0.116766
progress	0.115858
talent	0.112654
experience	0.112393
performance	0.10771
contribution	0.106537
courage	0.104876
legacy	0.102815
prowess	0.10255
role	0.101432
triumph	0.100459
milestone	0.0990024
vision	0.0967661
excellence	0.0960748
reputation	0.0937348
strength	0.0935113
record	0.0930977
quality	0.0923187
Sacrifice	0.0917823
priority	0.0913433
dedication	0.0897205
fact	0.0895884
commitment	0.087842
breakthrough	0.0875539
"hard work"	0.0870364
greatness	0.0865449
career	0.0863933
exploit	0.0858052
change	0.0857105
virtue	0.0851771
spirit	0.0851221
personality	0.0848176
innovation	0.0848017
opportunity	0.0846351
importance	0.0845303
improvement	0.0843081
effort	0.0839595
challenge	0.0837216
ambition	0.0830533
competence	0.0828196
credential	0.0824145
ethic	0.0822645
shortcoming	0.0818534
history	0.081708
victory	0.0813779
style	0.0813182
Creativity	0.0812357
heritage	0.0809951
diversity	0.0806833
potential	0.0805278
outcome	0.0804069
task	0.0803556
generosity	0.0803529
aspect	0.0799471
prosperity	0.0799235
determination	0.079574
idea	0.0792741
"success story"	0.079114
responsibility	0.0790292
event	0.078958
honesty	0.0786503
moment	0.078543
desire	0.0784939
integrity	0.0783589
result	0.0782019
thing	0.0781048
beauty	0.0779628
development	0.0778482
objective	0.0777887
significance	0.0774579
life	0.077378
value	0.0770176
goal	0.076745
trait	0.0765233
professionalism	0.0762193
turnaround	0.076018
passion	0.0756172
enthusiasm	0.0755908
longevity	0.0754007
honor	0.0753588
deed	0.0753133
aspiration	0.0752878
popularity	0.0752119
difficulty	0.075151
characteristic	0.0750873
wisdom	0.0747215
intellect	0.074687
expertise	0.0743163
status	0.0742692
difference	0.0741133
credibility	0.074051
impact	0.073963
consistency	0.0738676
loyalty	0.0738275
"turning point"	0.0738013
tradition	0.0737645
background	0.0736431
prospect	0.0736009
stature	0.0735709
endeavor	0.0735052
influence	0.0734106
knowledge	0.0732498
gift	0.073053
miracle	0.0729948
failure	0.07294
sense	0.072805
glory	0.0726377
brilliance	0.0726162
perseverance	0.0724634
tragedy	0.0723529
toughness	0.0721188
initiative	0.0720905
adventure	0.0720788
promise	0.0720568
mistake	0.0719381
presence	0.0718559
problem	0.0716875
character	0.0716703
maturity	0.0714745
advancement	0.0714563
attitude	0.0713598
willingness	0.0713363
acumen	0.0713055
versatility	0.0712938
leadership	0.0710305
bravery	0.0710264
dignity	0.0709447
comeback	0.0708701
expectation	0.0707899
memory	0.0705775
pride	0.0705416
qualification	0.0703174
job	0.0702972
clout	0.0702785
example	0.0702318
identity	0.0700876
strategy	0.0700866
stride	0.069959
behavior	0.0699578
relationship	0.0698874
blunder	0.0698502
persistence	0.069847
reality	0.069817
thrill	0.0697637
factor	0.0695151
interest	0.0695057
agenda	0.0692219
effectiveness	0.0691935
advantage	0.0690642
concept	0.0687795
pleasure	0.0686324
excitement	0.0684999
lesson	0.0684216
approach	0.068297
image	0.0680045
action	0.067885
devotion	0.0677771
seriousness	0.0677379
growth	0.0677188
capability	0.067672
insight	0.067623
participation	0.0673975
chance	0.0673733
number	0.0673247
endorsement	0.0672942
flaw	0.0672403
undertaking	0.0672129
"good fortune"	0.0668681
merit	0.0668592
nature	0.0668552
disappointment	0.0668358
decision	0.0667899
step	0.0667527
fame	0.0667028
reward	0.0666983
emotion	0.0662495
artistry	0.0661869
obstacle	0.0661482
tenacity	0.0660249
highlight	0.0658296
stability	0.0658064
theme	0.0657797
power	0.0657552
originality	0.0656604
judgment	0.0654971
ideal	0.065472
hope	0.0654388
reform	0.0653243
choice	0.0652463
happiness	0.0650151
confidence	0.0650115
story	0.0649589
benefit	0.0648782
continuity	0.0648683
genius	0.0647824
precedent	0.0647571
))
(accord (desc 116047) (sims
agreement	0.350396
pact	0.264201
Treaty	0.263185
"peace treaty"	0.206625
resolution	0.18652
"trade agreement"	0.183761
deal	0.183632
cease-fire	0.178793
protocol	0.17804
memorandum	0.177798
negotiation	0.170869
settlement	0.159098
peace	0.151633
talk	0.147729
legislation	0.143843
proposal	0.141398
plan	0.138969
Declaration	0.138913
truce	0.138907
constitution	0.138445
compromise	0.135764
ceasefire	0.134653
initiative	0.132967
law	0.129234
process	0.126872
charter	0.126053
arrangement	0.124626
cooperation	0.123185
summit	0.122772
policy	0.122028
communique	0.119987
guideline	0.119482
decree	0.119235
principle	0.11614
framework	0.116025
regulation	0.113925
Wye	0.113542
Implementation	0.113191
bill	0.112967
withdrawal	0.1123
reform	0.112213
decision	0.11142
measure	0.110645
relation	0.110632
understanding	0.109364
amendment	0.108719
provision	0.108041
contract	0.107433
document	0.107093
"Comprehensive Test Ban Treaty"	0.106966
referendum	0.106502
rule	0.105023
dialogue	0.103701
"Geneva convention"	0.103322
partnership	0.100131
pullback	0.0995329
ruling	0.0992874
program	0.0990278
CTBT	0.0990057
meeting	0.0979092
consensus	0.0978047
"Sino-British Joint Declaration"	0.0976078
package	0.0976068
solution	0.0969739
"START II"	0.0956311
signing	0.0954629
directive	0.0946663
resumption	0.0945642
Formula	0.0944189
effort	0.0943544
convention	0.0942606
reconciliation	0.0942387
agenda	0.0939798
redeployment	0.0938431
election	0.0937309
"international law"	0.0937168
"U.N. Charter"	0.0936393
strategy	0.0932806
progress	0.0929329
commitment	0.0927977
ban	0.0926218
statute	0.0924744
Alliance	0.0924557
government	0.0918984
discussion	0.0918425
"letter of intent"	0.09168
recommendation	0.0909448
timetable	0.0906434
conference	0.090483
disarmament	0.090289
merger	0.0901896
pledge	0.0899801
statement	0.0896126
budget	0.0881322
consultation	0.0880847
dialog	0.0880202
covenant	0.0879133
"Basic Law"	0.086841
"summit meeting"	0.0861045
issue	0.0860252
conflict	0.0855652
mechanism	0.0855329
Ordinance	0.0855053
project	0.0853885
pullout	0.0852819
integration	0.0852029
action	0.0851332
reunification	0.084927
development	0.0847674
"free trade"	0.0845533
normalization	0.084332
deployment	0.0842984
draft	0.083975
sanction	0.08387
"North American Free Trade Agreement"	0.083852
ratification	0.0838114
term	0.0833458
tie	0.0832881
MOU	0.0828342
embargo	0.0823432
code	0.0821494
Liberalization	0.0819437
"trade bill"	0.0809234
"trade relation"	0.0807562
relationship	0.0804761
procedure	0.0802848
establishment	0.0801792
"general election"	0.080155
expansion	0.080116
trade	0.0794175
"Maastricht Treaty"	0.0793656
breakthrough	0.0788736
obligation	0.0788329
dispute	0.0785417
stance	0.0784995
"World Trade Organization"	0.0778613
change	0.0772617
mediation	0.0772082
accession	0.0770411
Oslo	0.0769884
"labor agreement"	0.0769844
confrontation	0.0767283
moratorium	0.0767021
standard	0.0759383
airstrikes	0.075856
exchange	0.0758018
blueprint	0.0756858
order	0.075503
vote	0.0753559
war	0.0752553
concession	0.0751841
"labor contract"	0.0751587
"Clean Air Act"	0.0749337
compliance	0.0749077
"tax cut"	0.0748575
scheme	0.0747637
release	0.074669
WTO	0.074668
announcement	0.0742016
crisis	0.0740721
revision	0.0738921
rapprochement	0.073855
Mission	0.0737894
deadlock	0.073441
intervention	0.0733234
"development plan"	0.073232
bid	0.0728924
report	0.0728776
conclusion	0.0727986
system	0.0726951
clause	0.0726452
stability	0.0725876
mandate	0.0722487
membership	0.0716273
"foreign policy"	0.0714852
NAFTA	0.071337
objective	0.0706196
restriction	0.0705844
status	0.0705767
handover	0.0704828
strike	0.0704697
Privatization	0.0703939
deadline	0.0703732
participation	0.0703135
swap	0.0702073
contact	0.0700113
appointment	0.0697854
"New Deal"	0.0696978
"arms control"	0.0696253
situation	0.069487
visit	0.0691688
operation	0.0691664
requirement	0.0688451
lifting	0.0688241
U.N.	0.0687992
Coalition	0.0687816
independence	0.0686505
bailout	0.0684307
return	0.0683634
statehood	0.0682416
))
(accordance (desc 46981.1) (sims
conformity	0.276061
compliance	0.168411
line	0.116019
order	0.10406
consonance	0.102343
conjunction	0.0946635
noncompliance	0.0934566
particular	0.0909781
manner	0.0879182
wake	0.0803417
contravention	0.0771968
bid	0.0747403
response	0.0728372
spite	0.0695534
"late @@@@"	0.0633794
future	0.0623378
"April, @@@@"	0.0619404
"November @@@@"	0.0616958
tandem	0.0616825
meantime	0.0607179
"May, @@@@"	0.0599307
"December @@@@"	0.059334
context	0.0592174
contradiction	0.0579724
"March, @@@@"	0.0575652
"March @@@@"	0.0570211
December	0.0565848
"October, @@@@"	0.056552
"August, @@@@"	0.0562082
accord	0.0560551
may	0.0556785
addition	0.0551745
dissatisfaction	0.0550387
violation	0.0548283
April	0.0546891
Macao	0.0543809
"May @@@@"	0.0541911
phase	0.0539132
framework	0.0538912
offing	0.0534968
January	0.0533924
June	0.0531557
Implementation	0.0526169
defiance	0.0525342
"July, @@@@"	0.0523283
"Hong Kong SAR"	0.0522645
"December, @@@@"	0.0521993
February	0.051991
"October @@@@"	0.0518138
October	0.0518055
"February @@@@"	0.0516622
"January @@@@"	0.0515071
November	0.0513797
"July @@@@"	0.0513542
July	0.0511635
spirit	0.0507403
"April @@@@"	0.050533
September	0.0502627
"August @@@@"	0.0499331
"January, @@@@"	0.049702
earnest	0.0490428
"rural area"	0.0488807
"late @@@@s"	0.048624
entirety	0.0480143
August	0.0474309
preparation	0.0463686
"June @@@@"	0.0455011
coordination	0.0452514
connection	0.0451468
anticipation	0.0451262
principle	0.0446985
fashion	0.04459
sphere	0.0441657
Kosovo	0.0439852
"Basic Law"	0.0437274
"September @@@@"	0.0432193
province	0.0432039
"Hong Kong"	0.0431813
"long run"	0.0430471
consultation	0.0429323
collaboration	0.042844
Africa	0.0427005
satisfaction	0.0419427
aftermath	0.0413287
mid-June	0.0410754
"African country"	0.0410248
"Sierra Leone"	0.0410096
HKSAR	0.0409605
Tibet	0.0401363
))
(accordion (desc 6119.59) (sims
mandolin	0.220335
trombone	0.183877
Flute	0.154151
clarinet	0.15285
fiddle	0.152435
oboe	0.148221
banjo	0.142318
"French horn"	0.142202
harmonica	0.141782
"acoustic guitar"	0.138263
harp	0.134427
trumpet	0.134068
"steel guitar"	0.13338
guitar	0.132863
saxophone	0.132339
"electric guitar"	0.120439
harpsichord	0.118633
percussion	0.115946
cello	0.113966
violin	0.113745
lute	0.111664
dulcimer	0.102433
piano	0.10204
Sax	0.0990379
drum	0.0930478
Viola	0.0805867
tuba	0.0800297
woodwind	0.0789126
Bass	0.0758203
vocals	0.0727615
synthesizers	0.0667401
keyboard	0.0576114
Bongo	0.056353
turntable	0.0556095
"string quartet"	0.0542141
synthesizer	0.0529196
joysticks	0.0512518
Horn	0.0512051
"swing music"	0.0494297
bagpipe	0.0484185
SAMPLER	0.0484166
"brass band"	0.0482998
metronome	0.0470213
"piece of music"	0.0462888
"jazz band"	0.0460006
acoustic	0.0457365
baritone	0.0456426
"chamber orchestra"	0.0449294
cymbal	0.0443833
"musical instrument"	0.0434295
"rhythm section"	0.0427444
"guitar player"	0.0425362
bagpiper	0.0414013
))
(account (desc 206534) (sims
"bank account"	0.169794
fund	0.156675
"savings account"	0.132474
"retirement account"	0.124165
story	0.120892
asset	0.117047
transaction	0.11559
portfolio	0.11538
saving	0.113357
"checking account"	0.112307
"trust fund"	0.111707
description	0.110007
report	0.109824
loan	0.107954
deposit	0.106718
testimony	0.106557
money	0.10634
document	0.102775
program	0.101983
payment	0.100797
information	0.100713
"mutual fund"	0.100284
claim	0.0997097
bank	0.0982001
book	0.0976992
service	0.097307
detail	0.0972674
"credit card"	0.09648
business	0.0960303
evidence	0.0956135
investment	0.0928692
plan	0.0924435
case	0.0916384
tale	0.0915563
memoir	0.0901847
statement	0.0898724
data	0.0896042
system	0.0891282
stock	0.0888944
customer	0.088697
allegation	0.0883198
check	0.0875101
holding	0.0874852
fee	0.0872298
contribution	0.0871292
company	0.0871204
donation	0.0870442
budget	0.0867019
pension	0.0864596
cash	0.086184
coverage	0.0855665
bond	0.0853589
revenue	0.0844055
"pension fund"	0.0842278
coffer	0.0839867
debt	0.0835691
site	0.0834937
number	0.083389
biography	0.0831481
mortgage	0.0830321
annuity	0.0829148
product	0.0829096
income	0.082612
AD	0.0825008
record	0.0824836
sale	0.0824648
project	0.082335
letter	0.082324
study	0.0821276
recollection	0.0819415
share	0.0818112
credit	0.0816689
property	0.0816589
article	0.081649
list	0.0816161
picture	0.0809143
note	0.0808976
salary	0.080631
work	0.080288
assessment	0.0801773
accounting	0.0800162
"retirement plan"	0.0799541
tax	0.0797794
insurance	0.0795294
job	0.0790722
card	0.0790681
purchase	0.0789841
some	0.0787762
amount	0.0786561
operation	0.0784489
result	0.0783408
bill	0.0781043
contract	0.0778452
Computer	0.0778348
material	0.0778274
equity	0.0777365
market	0.0775704
IRA	0.0775335
image	0.077297
name	0.0767214
charge	0.0766939
comment	0.0766644
explanation	0.0763342
review	0.0761934
file	0.0760807
collection	0.0757834
investigation	0.0757671
analysis	0.0756704
Advertising	0.075641
trust	0.075521
profit	0.075432
question	0.0750873
memory	0.0750725
activity	0.0750522
benefit	0.0750334
deal	0.075014
earnings	0.0748129
history	0.0747349
interest	0.0745913
photograph	0.0745873
interview	0.07449
view	0.074452
narrative	0.0744419
confession	0.0744109
experience	0.0743529
package	0.074344
application	0.074293
complaint	0.0742135
assertion	0.0738471
finding	0.0736719
page	0.0736299
cost	0.0734965
diary	0.0734857
transcript	0.0733895
research	0.0733712
message	0.0732915
profile	0.0732909
treasury	0.0732908
policy	0.0729984
security	0.0729662
reserve	0.072845
form	0.0727678
item	0.0727649
proposal	0.0727611
position	0.0727495
firm	0.0727191
version	0.0727176
word	0.0726488
scheme	0.0725818
access	0.0725603
fact	0.0725601
use	0.0720496
novel	0.0717285
life	0.0716713
expense	0.0716134
"news report"	0.0714564
performance	0.071301
kind	0.0710452
client	0.0710353
news	0.0708873
advertisement	0.0708398
accusation	0.0707659
source	0.0706806
text	0.070485
financing	0.0702115
listing	0.0701246
"social security"	0.07004
issue	0.0700277
aspect	0.0699584
grant	0.0696808
part	0.0695777
idea	0.0693554
conversation	0.0693204
portrait	0.0691588
figure	0.0690801
option	0.0689185
offering	0.0688862
software	0.0688445
strategy	0.0687837
employee	0.0687621
sector	0.0687171
email	0.068687
survey	0.0685428
enterprise	0.0685238
campaign	0.0685047
tape	0.068282
agency	0.0681526
measure	0.0679665
disclosure	0.0679574
videotape	0.0678152
paper	0.0677747
scene	0.0677047
essay	0.0674252
type	0.0674232
individual	0.0673401
memo	0.0672403
network	0.0669544
inquiry	0.0668544
receipt	0.0666249
one	0.0664098
))
("account executive" (desc 1899.05) (sims
copywriter	0.188079
"art director"	0.144288
paralegal	0.120109
saleswoman	0.0966044
Litigator	0.0925779
bookkeeper	0.0912772
"copy editor"	0.0787876
"stage manager"	0.07628
receptionist	0.0757425
apprentice	0.0755875
"altar boy"	0.0748472
"aerospace engineer"	0.0748283
bellhop	0.0740998
trainee	0.0725332
"management consultant"	0.0716992
"sales manager"	0.0706324
"maintenance man"	0.0698397
adjuster	0.0696211
"investment banker"	0.0692246
dispatcher	0.0683903
"house painter"	0.0676538
exec	0.0668571
"English teacher"	0.0667647
stuntman	0.066344
provocateur	0.066192
temp	0.0653176
infantryman	0.0651119
bricklayer	0.0643096
chemist	0.0635359
stewardess	0.0632527
"eye doctor"	0.0628176
"day laborer"	0.062352
welder	0.0620449
"business editor"	0.0618041
electrician	0.0613619
flack	0.0612992
busboy	0.0612195
illustrator	0.0611104
"network administrator"	0.060784
roofer	0.0597477
colorist	0.0584215
organist	0.0575889
"technology analyst"	0.0572274
seamstress	0.0569638
"order form"	0.0566046
"graphic artist"	0.0559533
plumber	0.0558821
"air force officer"	0.0550138
"electrical engineer"	0.0548977
"enlisted man"	0.0548182
"public defender"	0.0528329
handyman	0.0526468
"managing editor"	0.0522835
eighth-grader	0.0516957
lifeguard	0.0514446
"Jewish Museum"	0.0514263
"school superintendent"	0.0513143
ex-Marine	0.0512922
"consulting company"	0.0512864
rep	0.0509801
"volleyball player"	0.0509486
"NationsBanc Montgomery Securities"	0.0507029
execs	0.0505423
"hockey coach"	0.0504431
bigwig	0.0504187
"Rhodes Scholar"	0.050381
"real estate agent"	0.0503202
"sales staff"	0.0503059
"interior decorator"	0.0502955
physiologist	0.0501737
"information officer"	0.0501154
"disc jockey"	0.0500594
"bond trader"	0.050031
caddie	0.0500243
"telecommunications analyst"	0.0494847
"civil engineer"	0.0491476
spokespeople	0.04913
geophysicist	0.0490015
"Federal District Court"	0.0488057
sportswriter	0.0482808
housemate	0.0479991
airman	0.0478721
"banking analyst"	0.0474115
"insurance agent"	0.0473096
beachhead	0.0472869
paraplegic	0.0472305
"media analyst"	0.0469555
Intimidator	0.0468102
pitchman	0.0461118
"certified public accountant"	0.0457821
newsman	0.0456916
"lieutenant colonel"	0.0454345
watchman	0.0453888
"staff officer"	0.0449254
animator	0.0449119
brassiere	0.0448991
bouncer	0.0447349
"cabinet member"	0.0445155
kayaker	0.044325
dishwasher	0.0441095
"BancBoston Robertson Stephens"	0.0441078
understudy	0.0438071
walk-on	0.0437479
climatologist	0.0436673
chaplain	0.0436288
"department employee"	0.0435068
"clinical psychologist"	0.043152
"staff sergeant"	0.043094
"school principal"	0.0430262
"foreign service officer"	0.0428468
Oriole	0.0428369
beautician	0.0427794
archivist	0.0425081
"naval officer"	0.042405
consultancy	0.0423087
"assistant professor"	0.0422624
whiz	0.0422068
"security consultant"	0.042181
enlistee	0.0421502
Atlantan	0.042128
"married man"	0.0420216
ornithologist	0.0419403
Ohioan	0.0418874
optometrist	0.0418271
scoutmaster	0.041609
"Omnicom Group"	0.0412611
"Field Poll"	0.0411257
"undercover agent"	0.0410531
scheduler	0.0410469
weatherman	0.0409146
"information provider"	0.0409085
"Candlestick Park"	0.040779
endocrinologist	0.0407774
"borrowing cost"	0.0407547
"English professor"	0.0407121
"art student"	0.040657
"film producer"	0.0405616
Postmaster	0.0404837
"real estate broker"	0.0403534
councilwoman	0.0402762
))
("account statement" (desc 1162.65) (sims
"bank statement"	0.167817
"credit report"	0.0974863
homepages	0.0911513
"financial statement"	0.0908907
"progress report"	0.0852927
invoice	0.0835767
"brokerage account"	0.0812229
"income tax return"	0.0761121
"purchase order"	0.0742464
"checking account"	0.0733892
"loan application"	0.0733163
"telephone bill"	0.0726372
"performance evaluation"	0.0716788
"disability payment"	0.0693944
"Charles Schwab Corp."	0.0664093
"line of products"	0.0640452
"medical record"	0.0634781
"tax form"	0.0624708
"stock certificate"	0.0624195
"application form"	0.061869
"JP Morgan"	0.0612355
"tax liability"	0.0604301
"data file"	0.0595774
overdraft	0.0592039
"identification number"	0.0589064
checkbook	0.058513
"brokerage unit"	0.0583497
"distress signal"	0.0579769
"tax return"	0.0576505
"marriage license"	0.0576502
"Asif Ali Zardari"	0.0573099
"electric bill"	0.0571201
"phone bill"	0.0569052
"incentive program"	0.0567997
"written material"	0.0564508
"charge card"	0.0562634
"Social Security number"	0.0558898
"Bobby Brown"	0.0558268
"Al Joyner"	0.0556698
"E mail"	0.0543721
URLs	0.0541194
"deposit box"	0.0539349
"form letter"	0.0534927
"retail operation"	0.0533234
"medical report"	0.0525974
"piggy bank"	0.051915
PaineWebber	0.0519026
mailings	0.0518937
"dental care"	0.0518134
"Softbank Corp."	0.0516596
molar	0.0515191
roadmap	0.0513755
"ING Barings"	0.0509873
feeler	0.0509101
"mind's eye"	0.0506536
"expense account"	0.0505807
alimony	0.0503816
"working capital"	0.0500095
"report card"	0.0499947
enquiry	0.0499765
bookkeeping	0.0498302
eyelash	0.0496892
vending	0.0495227
skittishness	0.049421
"management fee"	0.0492904
horoscope	0.0490375
"Hambrecht &AMP; Quist"	0.0490293
taskbar	0.0487112
"letter of credit"	0.0483325
"Prince Albert"	0.0482942
"Warburg Dillon Read"	0.0481756
"birth certificate"	0.0478656
"investment portfolio"	0.0477917
"Goldman Sachs &AMP; Co."	0.0476006
"data link"	0.0472209
prospectus	0.047081
"boarding pass"	0.0467956
"dividend payment"	0.0467499
postings	0.046684
"membership card"	0.0466019
"medical history"	0.0465101
"Peter Lynch"	0.0463417
"Bear Stearns"	0.0463383
specialities	0.0459258
"mailing address"	0.0457396
newsgroup	0.045221
"name and address"	0.0449916
Requests	0.0449565
"tool kit"	0.0449164
"frame of reference"	0.0447821
"golden parachute"	0.0447526
"securities trading"	0.0447459
"silver dollar"	0.0446154
"retirement benefit"	0.0442696
"Edward Jones"	0.0441911
"warning signal"	0.0441906
"retirement account"	0.0440726
"historical document"	0.043796
Stamps	0.043755
"insurance claim"	0.0436807
"ABN AMRO"	0.0435618
"Sam Wyly"	0.0434234
"business card"	0.0434142
newbies	0.0431792
"Carl Icahn"	0.0431602
cheque	0.0429245
grandkids	0.042783
assistances	0.0426668
fillip	0.0425144
meccas	0.0423089
"delivery service"	0.0422223
"extracurricular activity"	0.0421716
houseplant	0.0421101
"tax benefit"	0.0420009
"hospital care"	0.0419993
remotes	0.0419983
"Ronald Perelman"	0.041969
"peace of mind"	0.0419258
"customer complaint"	0.041841
instalment	0.0418397
"patent right"	0.0417257
"legal document"	0.0416419
emphases	0.0416131
postage	0.0415326
"greeting card"	0.0415158
"religious order"	0.0414512
pooch	0.0413458
folio	0.0411935
creditworthiness	0.041069
"Robertson Stephens"	0.0410596
remuneration	0.0409466
"Christmas present"	0.0408394
planeloads	0.040837
"service charge"	0.0406938
"entitlement program"	0.0406423
billions	0.0406327
"marriage proposal"	0.0406211
stub	0.0405663
"vocational training"	0.0405431
"line of work"	0.0405385
"fringe benefit"	0.0402359
spec	0.0401349
"medical aid"	0.0400993
"disability benefit"	0.040099
"medical examination"	0.0400076
))
(accountability (desc 32331.9) (sims
transparency	0.190684
governance	0.142901
fairness	0.142467
Openness	0.142024
efficiency	0.140636
oversight	0.139352
discipline	0.136738
responsibility	0.131655
professionalism	0.117856
flexibility	0.117575
supervision	0.115812
ethic	0.113581
decentralization	0.112338
enforcement	0.112009
reform	0.111811
competence	0.111365
"rule of law"	0.111046
equality	0.109259
integrity	0.109111
democratization	0.10885
probity	0.108284
impartiality	0.107901
diversity	0.107557
"quality control"	0.10657
tolerance	0.106164
honesty	0.104784
coordination	0.104399
morality	0.104122
disclosure	0.101417
"due process"	0.101351
education	0.101063
protection	0.101027
reliability	0.100121
participation	0.0990044
decency	0.096913
management	0.0965963
continuity	0.0964878
stability	0.0960177
consistency	0.0944441
autonomy	0.0942323
credibility	0.0939131
democracy	0.0938923
accessibility	0.0934051
Liberalization	0.0931829
prudence	0.0929098
funding	0.0928895
security	0.0927812
teamwork	0.0924231
standard	0.0920924
awareness	0.0914882
integration	0.0910881
Privacy	0.0898757
freedom	0.0894265
diversification	0.0886683
confidentiality	0.0880606
pluralism	0.0878849
liquidity	0.0878127
"job security"	0.0877921
"human rights"	0.0876173
punishment	0.0875731
loyalty	0.0875728
commitment	0.0873012
control	0.0870676
empowerment	0.0865694
responsiveness	0.0865474
unity	0.0860493
regulation	0.0860265
access	0.0858879
safety	0.085279
"decision making"	0.0851265
respect	0.0850332
productivity	0.0848712
profitability	0.0848667
forgiveness	0.0848145
competitiveness	0.0845745
quality	0.0838383
"freedom of speech"	0.0838207
involvement	0.0833646
uniformity	0.0833505
self-reliance	0.083296
scrutiny	0.0829871
representation	0.0828767
confidence	0.0819881
input	0.0818312
liability	0.0817846
preparedness	0.0814319
self-determination	0.0812966
financing	0.08126
"human right"	0.0812529
self-discipline	0.0810531
"customer service"	0.0809869
improvement	0.080971
innovation	0.080581
policy	0.0804136
"land reform"	0.0804075
austerity	0.0804072
legitimacy	0.0801783
literacy	0.0801258
disarmament	0.0799803
trust	0.0799277
cooperation	0.0796551
recognition	0.0795422
civility	0.0793046
Creativity	0.0792865
"gun control"	0.0790216
testing	0.07902
restraint	0.0787794
guidance	0.0787369
safeguard	0.0787178
intervention	0.0784238
accounting	0.0783112
incentive	0.0782266
training	0.0780369
cohesion	0.0779515
accuracy	0.0777497
reconciliation	0.0776599
prevention	0.0775262
excellence	0.0773876
deregulation	0.0772671
objectivity	0.0770661
compliance	0.0769929
equity	0.0769923
justice	0.0766442
identification	0.0764747
capability	0.0761821
predictability	0.0760462
vigilance	0.0760383
compassion	0.0760199
modernization	0.0758432
Privatization	0.0758254
surveillance	0.0756539
leadership	0.0756388
curriculum	0.0751653
conservation	0.0750473
solidarity	0.0750306
independence	0.07501
consolidation	0.0748974
allocation	0.074823
"health care"	0.0745641
self-esteem	0.0745569
skill	0.0743826
neutrality	0.0742966
diligence	0.074093
planning	0.0737269
record-keeping	0.0737206
parity	0.0736249
separation	0.0733543
assurance	0.0732986
care	0.0732492
acceptance	0.0732379
motivation	0.0731862
certainty	0.0730154
attention	0.072682
reparation	0.072667
corruption	0.0725921
recruitment	0.0721064
readiness	0.0720631
development	0.0720157
voucher	0.07191
"family planning"	0.0718114
pragmatism	0.0717464
effectiveness	0.0717233
hygiene	0.071712
monitoring	0.0716711
mobility	0.0715005
federalism	0.0714357
"internal control"	0.0708689
ability	0.0708566
progress	0.0708514
censorship	0.0706021
availability	0.0705948
mechanism	0.0703614
"tax collection"	0.0701062
reciprocity	0.0699617
certification	0.069823
amnesty	0.0696929
"shareholder value"	0.069617
evaluation	0.0693915
obligation	0.0693553
patriotism	0.0692523
understanding	0.06923
dignity	0.0692118
distribution	0.0690979
utilization	0.0688356
harmonization	0.0687846
redress	0.0687592
reduction	0.0687459
apology	0.0687446
adjustment	0.0685782
interaction	0.0685551
resource	0.0684737
qualification	0.0684338
action	0.0684153
dedication	0.0683423
patience	0.0683178
"free trade"	0.0682557
sincerity	0.0682535
peace	0.0679779
legislation	0.0678554
inspection	0.0678051
))
(accountancy (desc 1652.74) (sims
chiropractic	0.0980888
"accounting firm"	0.0904156
forwarding	0.088645
consultancy	0.0861004
"data processing"	0.0789943
nursing	0.0756796
"information science"	0.0755381
notary	0.0754189
"fire control"	0.0751297
"city planning"	0.0730669
"civil engineering"	0.0714394
"social work"	0.0708257
warehousing	0.0692265
telemarketing	0.0671771
Trucking	0.0668009
Telecoms	0.065254
"urban planning"	0.0649802
contracting	0.0633799
reinsurance	0.0629911
Helms-Burton	0.0622091
pan-African	0.0597933
Shariah	0.0595505
"social assistance"	0.0591439
bookkeeping	0.0568133
pan-European	0.056494
"telephone directory"	0.0555151
catering	0.0548454
"investment banking"	0.0541796
telephony	0.0541417
"bond rating"	0.0541323
B@B	0.0539304
"soil conservation"	0.0538009
"public security"	0.0537873
agribusiness	0.0531826
business-to-business	0.0530748
lawmaking	0.052939
shipbuilding	0.0525255
"public utility"	0.0515203
"liberal arts"	0.0513784
sanitation	0.051176
authentication	0.0509516
CPA	0.0503666
husbandry	0.0502099
"computer hardware"	0.0501668
WAP	0.0498526
"family planning"	0.0489666
polygraph	0.0489518
"life science"	0.0485607
"social science"	0.0481179
foreclosure	0.0471332
counterintelligence	0.0470187
pan-Arab	0.0468637
"social welfare"	0.0468083
"data communication"	0.0467281
babysitting	0.0461348
forecasting	0.0460464
forfeiture	0.0458105
leasing	0.0456305
"computer technology"	0.0455915
"money order"	0.0454508
dentistry	0.0451645
e-business	0.0450539
healthcare	0.0450184
"magnetic resonance imaging"	0.0449807
naturalization	0.0441982
"Criminal Procedure Law"	0.0441783
"Jim Crow"	0.0441155
meteorology	0.0440814
automation	0.0440027
"secondary education"	0.0438726
sociology	0.0438393
"product development"	0.0438272
"population control"	0.0431874
"consumer electronics"	0.0431247
"interior design"	0.0430032
"securities trading"	0.0428216
maternity	0.0426012
"sales promotion"	0.0425785
concierge	0.04235
surveying	0.0419752
"vocational training"	0.0419705
"applied science"	0.0419635
linguistics	0.0417568
"data entry"	0.0417287
"Air France Concorde"	0.0416343
housekeeping	0.0412279
"computer science"	0.0412185
Sunnyvale	0.0411771
intranet	0.0409892
"sick pay"	0.040968
metallurgy	0.0404566
anthropology	0.0404473
))
(accountant (desc 31450) (sims
auditor	0.168566
engineer	0.149391
stockbroker	0.141003
bookkeeper	0.140764
"certified public accountant"	0.13379
"investment banker"	0.132599
lawyer	0.131543
banker	0.130099
consultant	0.128117
"computer programmer"	0.126877
nurse	0.126537
dentist	0.126408
electrician	0.126323
"social worker"	0.12508
technician	0.124998
"accounting firm"	0.123422
physician	0.121318
doctor	0.120673
veterinarian	0.120247
pharmacist	0.116521
clerk	0.116445
therapist	0.111551
psychologist	0.111275
CPA	0.109867
Attorney	0.109788
counselor	0.109653
teacher	0.109253
planner	0.108499
broker	0.108175
manager	0.107361
mechanic	0.106299
educator	0.104551
administrator	0.103231
executive	0.103032
appraiser	0.100915
professional	0.100376
scientist	0.100257
Programmer	0.10015
psychiatrist	0.099468
paralegal	0.0994413
pediatrician	0.0987648
"real estate agent"	0.0980257
"investment adviser"	0.0979826
actuary	0.0972501
supervisor	0.0971505
architect	0.0955477
"private investigator"	0.0955378
schoolteacher	0.0954198
contractor	0.0953895
employee	0.0945959
surgeon	0.0931901
journalist	0.0931376
lobbyist	0.0930772
specialist	0.0929873
"management consultant"	0.0929416
chemist	0.0929343
"electrical engineer"	0.0926006
librarian	0.0909214
"truck driver"	0.090046
"real estate broker"	0.0891477
investigator	0.089006
"financial officer"	0.0888216
instructor	0.0887092
worker	0.0886464
designer	0.0877795
"software engineer"	0.0876202
entrepreneur	0.0869645
plumber	0.0869435
assistant	0.0867461
staffer	0.0865361
developer	0.0862011
adviser	0.085935
expert	0.0852972
"venture capitalist"	0.0850025
"staff member"	0.0848549
carpenter	0.0845894
firefighter	0.0845193
"bus driver"	0.0842708
"insurance agent"	0.084251
prosecutor	0.0834778
publicist	0.0830929
bureaucrat	0.0830725
salesman	0.0829626
agent	0.0828941
pilot	0.0828637
housewife	0.0828516
homemaker	0.0828473
economist	0.0827853
researcher	0.0826608
"civil servant"	0.0820188
receptionist	0.0814197
businessman	0.081028
historian	0.0804838
"business executive"	0.080464
"school teacher"	0.0804234
geologist	0.0803472
officer	0.0802711
operator	0.0799696
writer	0.0799493
trader	0.079618
"travel agent"	0.079492
restaurateur	0.0792773
academic	0.0790148
dealer	0.0787385
controller	0.0786594
laborer	0.0783219
janitor	0.0783073
optometrist	0.0782508
translator	0.0781902
paramedic	0.0780352
"interior designer"	0.0777807
"security guard"	0.0777237
analyst	0.0774777
"physical therapist"	0.0773947
photographer	0.077191
"public defender"	0.0770683
inspector	0.0768847
biologist	0.0765616
trainer	0.0765334
"police officer"	0.0762981
Counsel	0.0762803
"health professional"	0.0761478
recruiter	0.0753018
"corporate executive"	0.0751367
"tax collector"	0.0750455
physicist	0.0750175
bricklayer	0.0748916
regulator	0.07489
director	0.0748144
staff	0.0746202
politician	0.0744395
chef	0.074047
"public servant"	0.0738407
"flight attendant"	0.0737246
financier	0.0737086
firefighters	0.0736734
practitioner	0.0736651
pathologist	0.0731468
"military officer"	0.0729818
"computer expert"	0.0727066
tailor	0.0724272
"project manager"	0.0722383
epidemiologist	0.0722213
builder	0.0722009
"math teacher"	0.0720763
"board member"	0.0719472
superintendent	0.0719437
treasurer	0.0718038
rabbi	0.0717966
scholar	0.071403
"real estate developer"	0.0714017
salespeople	0.0712283
priest	0.0712225
aide	0.0712208
housekeeper	0.0711298
volunteer	0.0711011
lifeguard	0.0709849
medic	0.0709227
interpreter	0.0708949
"factory worker"	0.0707635
professor	0.0705297
firm	0.0704964
archivist	0.0704064
"English teacher"	0.0703266
owner	0.0700969
"consulting firm"	0.0698373
agronomist	0.0697573
detective	0.0696061
"air force officer"	0.0694629
associate	0.0694166
"computer scientist"	0.0692673
"government officials"	0.069145
mathematician	0.0691255
"army officer"	0.0689327
policeman	0.0689231
"registered nurse"	0.0688872
judge	0.0684925
principal	0.0684613
gardener	0.0684437
graduate	0.0684118
"account executive"	0.0683932
dietitian	0.0682892
waitress	0.067966
"police detective"	0.0679235
waiter	0.0678041
curator	0.0677724
musician	0.0677627
midwife	0.0676699
"civil engineer"	0.0675734
trustee	0.0673098
jurist	0.0672935
"faculty member"	0.0671691
copywriter	0.066839
lecturer	0.0667959
"insurance broker"	0.0667757
ophthalmologist	0.066694
"funeral director"	0.0666863
Comptroller	0.0665856
handyman	0.0665657
"district attorney"	0.0663848
))
(accounting (desc 41699.6) (sims
bookkeeping	0.140019
finance	0.13076
management	0.12782
engineering	0.122236
marketing	0.114247
banking	0.10127
planning	0.100813
"computer science"	0.0979375
"computer programming"	0.0946263
"information system"	0.0901296
financing	0.0897597
"social work"	0.0892703
taxation	0.0886139
insurance	0.088598
communication	0.0878551
disclosure	0.0875035
billing	0.0867473
assessment	0.0863837
analysis	0.0860862
economics	0.0859967
"quality control"	0.0854903
procurement	0.0851311
evaluation	0.0847359
nursing	0.0846699
telecommunication	0.0834548
logistics	0.0831664
transportation	0.0822113
reporting	0.0822002
enforcement	0.0817474
audit	0.0816094
"health care"	0.0816082
pricing	0.0815065
oversight	0.081425
appraisal	0.0813023
maintenance	0.0809711
distribution	0.0809199
education	0.0803902
account	0.0800162
manufacturing	0.0799594
"civil engineering"	0.0794565
research	0.0784598
accountability	0.0783112
documentation	0.078109
scheduling	0.077735
"information technology"	0.0775977
mathematics	0.0763836
registration	0.0761617
record-keeping	0.0759243
processing	0.0748659
design	0.0746425
protection	0.074477
employment	0.0744002
"mechanical engineering"	0.0742782
payment	0.074041
"customer service"	0.073916
health	0.0730055
"political science"	0.072964
security	0.0727959
governance	0.0724033
Advertising	0.0723473
"data processing"	0.0722453
"urban planning"	0.0721522
"real estate"	0.0719238
science	0.0717726
agriculture	0.0714908
compensation	0.0711496
regulation	0.0707846
allocation	0.0702992
psychology	0.0700027
"accounting system"	0.0698825
forestry	0.0698369
investment	0.0697536
information	0.0696226
policy	0.0695414
testing	0.0694889
strategy	0.0693318
Journalism	0.0691033
ethic	0.0690493
automation	0.0688274
"electrical engineering"	0.0687173
aviation	0.068693
"family planning"	0.068495
procedure	0.0683802
technology	0.0682415
inspection	0.0681747
consultancy	0.0681347
funding	0.0678565
identification	0.0678283
service	0.067805
examination	0.0676742
valuation	0.0674918
computing	0.0673328
transfer	0.0672141
"internal control"	0.0671686
transaction	0.0670884
development	0.0669597
supervision	0.0667076
training	0.0666815
commerce	0.06666
business	0.0663369
retailing	0.0661815
operation	0.0660969
transport	0.0660689
handling	0.06594
"social science"	0.0655025
construction	0.065486
sanitation	0.0652977
lending	0.0648051
networking	0.0645679
sociology	0.0644858
telemarketing	0.0644246
verification	0.0643417
surveillance	0.0642686
paperwork	0.0641867
Promotion	0.0641522
teaching	0.0641211
warehousing	0.0640561
software	0.0636772
infrastructure	0.0636658
"high technology"	0.0635122
"tax collection"	0.0635094
budget	0.0634651
"liberal arts"	0.0634513
nutrition	0.063436
discipline	0.0632933
"financial statement"	0.0632435
"law enforcement"	0.0631246
math	0.0631074
Chemistry	0.0628907
housekeeping	0.0626635
resource	0.0625473
method	0.0624097
prevention	0.0623912
credit	0.0622751
"city planning"	0.0622706
application	0.0621056
reimbursement	0.0620408
investigation	0.0619792
system	0.0618599
"special education"	0.0618254
curriculum	0.0617182
law	0.0616962
medicine	0.0611327
mining	0.0610764
custom	0.0610391
data	0.0609732
transparency	0.0609039
explanation	0.0608507
coordination	0.0607711
conservation	0.0604503
statistic	0.0603754
pension	0.0602388
review	0.0602313
"training program"	0.0601513
measurement	0.0601044
Privatization	0.0600589
"strategic planning"	0.0599831
philosophy	0.0599657
refining	0.0599271
tax	0.0597544
production	0.0597429
inventory	0.0596492
tourism	0.0595972
"physical education"	0.059551
biology	0.0595132
reform	0.0594648
treatment	0.0593434
representation	0.0592979
shipping	0.059139
forecasting	0.0590192
electronics	0.0590106
biochemistry	0.0587639
monitoring	0.0587598
publishing	0.0586739
"medical care"	0.0585653
sampling	0.0583895
administration	0.0583429
sale	0.0583112
"product development"	0.0582929
"criminal law"	0.0582894
navigation	0.0582247
compliance	0.0581259
"social insurance"	0.0581191
care	0.0580225
guarantee	0.0579831
e-commerce	0.0574849
merchandising	0.0573423
"accounting firm"	0.0572878
exploration	0.0572732
physics	0.0572578
preservation	0.0572285
industry	0.0571013
programming	0.0570821
exchange	0.0569522
dentistry	0.0568868
expenditure	0.0568391
Computer	0.0568249
utilization	0.0567628
sector	0.056717
geology	0.0566685
))
("accounting firm" (desc 14259.8) (sims
"consulting firm"	0.18891
"Ernst &AMP; Young"	0.156896
PricewaterhouseCoopers	0.128032
"Arthur Andersen"	0.126077
accountant	0.123422
auditor	0.120036
KPMG	0.11847
firm	0.115387
"advertising agency"	0.107814
"ad agency"	0.10765
"banking company"	0.100157
"insurance company"	0.0982624
"Deloitte &AMP; Touche"	0.0974674
"brokerage house"	0.0958714
"brokerage firm"	0.0943219
"trucking company"	0.0933922
"travel agency"	0.0932493
"investment house"	0.0931336
"shipping company"	0.0922223
"Price Waterhouse"	0.0920504
accountancy	0.0904156
"life insurer"	0.0893926
"cable operator"	0.087982
insurer	0.0847513
"futures exchange"	0.0844667
"drug maker"	0.0831391
"insurance firm"	0.0825841
"bank holding company"	0.0823477
"KPMG Peat Marwick"	0.0822174
brokerage	0.0820265
"telephone company"	0.0809076
"Andersen Consulting"	0.0787194
"consulting company"	0.0783845
"financial institution"	0.0774051
"auto maker"	0.0772907
shipbuilder	0.0766553
"electronics company"	0.0761119
"McKinsey &AMP; Co."	0.0760575
corporation	0.0757865
"toy retailer"	0.075059
"power company"	0.0738357
"General Accounting Office"	0.0729429
"phone company"	0.0729129
airline	0.0729012
"food company"	0.0721394
contractor	0.0718228
automakers	0.07162
"publishing company"	0.0713249
"auto company"	0.0713139
bottlers	0.0711671
"health maintenance organization"	0.0703792
multinationals	0.0700147
"Baby Bells"	0.0699909
"commercial bank"	0.0699548
consultant	0.0697818
brewery	0.0693878
issuer	0.0691048
Deloitte	0.0690087
wholesaler	0.0686827
"defense contractor"	0.0685576
"educational institution"	0.068256
"financial organization"	0.0671822
"finance company"	0.0670544
issuers	0.0669772
"oil producer"	0.0669244
"publishing house"	0.0668196
metropolises	0.0666772
"employment agency"	0.0665865
"credit bureau"	0.0665592
"business organization"	0.0663417
"mining company"	0.0660236
automaker	0.0656241
"steel company"	0.0655064
lender	0.0649585
"auction house"	0.064403
consortia	0.0638006
subcontractor	0.0636323
"insurance broker"	0.0634175
carmakers	0.0625517
"retail chain"	0.0624373
manufacturer	0.062427
"Department of Health and Human Services"	0.0620404
steelmaker	0.0619554
"Hollywood studio"	0.0619527
toymaker	0.0614305
"software maker"	0.0614293
"International Management Group"	0.0611805
"department store chain"	0.0611533
"Department of Education"	0.0603552
"Health Care Financing Administration"	0.06022
broker	0.060214
"private investigator"	0.0601793
"Department of Justice"	0.0600841
supplier	0.0600308
"private foundation"	0.0598483
"Merrill Lynch"	0.059564
ISPs	0.0595092
"car maker"	0.0594889
"car manufacturer"	0.0593327
"stock exchange"	0.0591474
"Morgan Stanley"	0.0591039
university	0.0589451
"bus company"	0.0587382
conglomerate	0.0585696
institute	0.0585654
"Credit Suisse First Boston"	0.0584472
provider	0.0581964
appraiser	0.0581952
"investment banker"	0.0581023
"Credit Suisse"	0.0578153
winery	0.0577679
"Social Security Administration"	0.0576396
consortium	0.0574439
accounting	0.0572878
bottler	0.0572582
"Salomon Brothers"	0.0571641
"electric company"	0.0570088
"regulatory agency"	0.0569881
"medical institution"	0.0568517
"Federal Emergency Management Agency"	0.0566502
operator	0.0566136
shipper	0.056601
"computer giant"	0.0565538
"school district"	0.0565363
"trade association"	0.0560024
retailer	0.0558811
distributor	0.0558379
"World Jewish Congress"	0.0555542
"credit union"	0.0555347
"police department"	0.0554726
"chain store"	0.0553482
"Census Bureau"	0.054941
employer	0.0548425
"toy maker"	0.0546125
caterer	0.0543702
"Department of Agriculture"	0.0542829
"General Electric Co."	0.0542728
banker	0.0540534
"Goldman, Sachs &AMP; Co."	0.0540204
"American Association of Retired Persons"	0.0538077
"U.N. agencies"	0.0536935
subsidiary	0.0536598
HMO	0.053401
"Department of Transportation"	0.0532251
"American Red Cross"	0.0532248
"nonprofit organization"	0.0531805
"American Bankers Association"	0.0530558
"think tank"	0.0529207
utility	0.052835
"building society"	0.0525628
IRS	0.0523409
scientist	0.0523262
"merchant bank"	0.0522155
carmaker	0.0521843
"Goldman Sachs"	0.0521577
"Treasury Department"	0.0520779
"Defense Department"	0.0520689
"investment fund"	0.0519043
"Justice Ministry"	0.0517976
Citibank	0.0516831
consultancy	0.051644
carrier	0.05158
startup	0.0513971
stockbroker	0.0513971
cooperative	0.0513158
"trade union"	0.0512965
"National Academy of Sciences"	0.0512884
"plastic surgeon"	0.0512879
"travel agent"	0.0512069
dealer	0.0512026
"flour mill"	0.0511453
"Department of Labor"	0.0510112
"postal service"	0.0508918
"National Federation"	0.0508212
"opera company"	0.050809
"Bankers Trust Corp."	0.0507907
chain	0.0505401
"printing company"	0.0503647
bureaus	0.0503274
"Philip Morris"	0.0502163
underwriter	0.0501807
meatpackers	0.0501498
slaughterhouse	0.0501256
"medical center"	0.0501139
"holding company"	0.0498418
"Anti-Defamation League"	0.0498051
"judicial branch"	0.0497197
"Nigerian National Petroleum Corporation"	0.0496554
"Chrysler Corp."	0.0496486
laboratory	0.049646
"Justice Department"	0.0495153
lab	0.0494432
"newspaper publisher"	0.04942
"TV station"	0.0493972
"copper mine"	0.0493742
"nursing home"	0.0492837
"joint venture"	0.0492705
"retail operation"	0.0492429
"American Civil Liberties Union"	0.0492153
"pension fund"	0.0491532
))
("accounting problem" (desc 1195.09) (sims
"cash crunch"	0.123543
"cost overrun"	0.119047
"woman's body"	0.114092
irregularity	0.110976
"safety problem"	0.104708
restatement	0.102768
"drug problem"	0.102687
"liquidity problem"	0.101126
discrepancy	0.100611
"engine failure"	0.0994538
"production problem"	0.0981044
"management change"	0.0974535
"job cut"	0.0973464
bacillus	0.0938703
"debt problem"	0.0904331
illegality	0.0900471
"price cut"	0.0887299
Problems	0.0827037
"bankruptcy filing"	0.0811397
soulmate	0.0784267
glitch	0.0775856
blockage	0.0764598
mixup	0.075409
"business line"	0.0752907
leptin	0.0746958
radium	0.0741567
infestation	0.072821
misdeed	0.0722882
"stock split"	0.0720373
wrongdoing	0.0717522
impropriety	0.0712546
microorganism	0.0712047
stowaway	0.0709543
listeria	0.0705568
"budget cut"	0.0705507
belt-tightening	0.0703713
whereabouts	0.0702741
provocateurs	0.0687061
mismanagement	0.0686038
"name change"	0.068421
gallstone	0.0682854
adulteration	0.0682082
hang-up	0.0675975
"election fraud"	0.0674301
"management shakeup"	0.0673693
"margin call"	0.0670113
infidelity	0.0662397
"Kennewick Man"	0.0661995
heatwave	0.0659662
lesbianism	0.0652538
"fire ant"	0.0646145
cronyism	0.0644533
"earnings disappointment"	0.0643146
"dead body"	0.0642076
anomaly	0.0641271
eye-opening	0.0640226
snafu	0.0639996
mix-up	0.0639828
canker	0.06357
"financial loss"	0.0632305
"Jenny Jones Show"	0.0627403
infraction	0.0622911
masquerade	0.0621493
heartening	0.0621176
MIAs	0.0616537
"power failure"	0.0615063
"cost structure"	0.0614975
polyp	0.0612021
Faget	0.0610777
melting	0.0609938
sickout	0.0609779
"water pollution"	0.0609126
"explosive device"	0.060697
rainout	0.0605004
break-in	0.0604888
"common cold"	0.0604804
miscalculation	0.0604594
closings	0.0602988
"life form"	0.0599957
indiscretion	0.0598482
inefficiency	0.0596663
microbe	0.0596449
influence-peddling	0.0596148
rumour	0.0595912
"intelligence operation"	0.0592806
choosing	0.0589344
sandstorm	0.0589103
"cold snap"	0.0586628
shakeup	0.0584448
"pirate ship"	0.0581968
"mental disorder"	0.0581538
"trade secret"	0.0579068
falsity	0.0575156
corrosion	0.0574355
"elbow room"	0.0569307
buyback	0.0568789
inequity	0.0566115
cryptosporidium	0.05648
"fraud charge"	0.0563417
jawbone	0.0563156
"price pressure"	0.0562253
"work stoppage"	0.0560891
overcapacity	0.0556739
illegals	0.0556532
evaders	0.0556112
"arms deal"	0.055427
"West Nile"	0.0554072
finds	0.0553173
clot	0.0552603
"fund-raising drive"	0.0552411
"policy change"	0.0551074
"man's body"	0.0549822
"Central Bureau of Statistics"	0.0549786
theorem	0.0548763
sickness	0.0548663
"eye disease"	0.0548362
"rate hike"	0.0546479
"price reduction"	0.0544122
subsidence	0.0543286
"genetic disease"	0.0540932
cirrhosis	0.0538557
"price cutting"	0.0537415
"Love Bug"	0.0537386
"merger agreement"	0.0537075
"oil slick"	0.0536325
"expansion plan"	0.0536059
"merger talk"	0.0535746
tie-up	0.0535715
B-@s	0.0535604
malpractice	0.053524
brouhaha	0.0533259
"life raft"	0.0532025
contaminant	0.0531568
details	0.0528801
misstep	0.05281
Mayberry	0.0526356
"burial site"	0.0526337
"toxic waste"	0.0525258
TVM	0.0525132
"blood clot"	0.0524317
"wonder drug"	0.0523092
outage	0.0522585
"Mike Espy"	0.052003
"management fee"	0.051883
price-fixing	0.0518476
Furcal	0.0517574
"reorganization plan"	0.0516282
dumping	0.0516127
double-teams	0.0515489
"cost cutting"	0.0513663
outages	0.0511129
"bond offering"	0.0510096
shenanigan	0.0509072
chink	0.0507465
downsizing	0.0507393
"cold spell"	0.050709
"Australian Bureau of Statistics"	0.0505914
nodule	0.0501909
sarcophagus	0.0500546
SNPs	0.0499179
"Kevin Dyson"	0.0498388
"asset sale"	0.0498388
"Human Immunodeficiency Virus"	0.0496451
INEC	0.0495516
Shangri-la	0.0494866
"covert operation"	0.0494722
"Pulitzer Prizes"	0.0494251
Teflon	0.0492835
"chemical compound"	0.0492393
radioactivity	0.0491884
fungi	0.0490629
"rate cut"	0.0489105
"weak point"	0.0488913
penicillin	0.0488837
"abortion issue"	0.0488599
"dry run"	0.0488435
"crisis situation"	0.0488282
"Mayon Volcano"	0.0487562
shard	0.0487385
"acid rain"	0.0487091
mainlanders	0.0486626
"crash landing"	0.048508
Ershad	0.0484922
deformity	0.0484843
"pipe bomb"	0.0484481
peccadillo	0.0483708
lode	0.0483144
noncompliance	0.0482918
arsenic	0.0482295
O@@@:H@	0.0482291
hoax	0.0482275
stayaway	0.048226
gaffe	0.0481629
"takeover bid"	0.0481366
derailment	0.0480814
shake-up	0.0480609
lesion	0.0479251
divergence	0.0477966
impairment	0.0477824
megamergers	0.0476782
))
("accounting system" (desc 3817.66) (sims
"pricing system"	0.128115
"distribution system"	0.112818
"teaching method"	0.110014
"tax system"	0.10058
"scoring system"	0.0983114
"telephone system"	0.0899513
"voting system"	0.0890731
"phone system"	0.0884514
"economic system"	0.0862616
"monetary system"	0.0854372
"point system"	0.0851201
"surveillance system"	0.0839547
"control system"	0.0815676
"information system"	0.0807788
"electoral system"	0.0806217
"Market system"	0.0795176
record-keeping	0.0774215
"internal control"	0.0762968
finances	0.0758059
"data system"	0.0746385
"order book"	0.0723567
"entitlement program"	0.0707945
"software system"	0.0706361
bookkeeping	0.0699322
accounting	0.0698825
"security system"	0.0689001
intranet	0.0682916
"bankruptcy law"	0.0679685
"transportation system"	0.0679243
"communication system"	0.0677752
"banking system"	0.0671514
"software package"	0.0668093
"legal system"	0.0667637
"communication network"	0.0661778
"telephone network"	0.0661451
databank	0.0659391
"weapon system"	0.0655992
"financial condition"	0.0652208
"employment contract"	0.0649046
"line of products"	0.06403
"communications network"	0.0639174
"credit system"	0.0632089
"distribution network"	0.0630864
curricula	0.0628725
algorithm	0.0625996
"business unit"	0.0624272
curriculum	0.0621862
receivables	0.0621168
"Windows Media Player"	0.0618013
debit	0.0616573
"UNIX operating system"	0.0612755
"retail operation"	0.061271
"welfare state"	0.0601606
"building code"	0.0599476
livery	0.0598302
intranets	0.0593878
"computer network"	0.059229
nomenclature	0.0592229
"X-ray machine"	0.0591202
"software product"	0.0588938
"quota system"	0.0584125
firewalls	0.058342
"U.N. Resolution @@@"	0.0580467
"penal code"	0.0580348
"medical practice"	0.0580194
"traffic control"	0.0580105
macro-control	0.0578493
"ventilation system"	0.0577254
"social structure"	0.0571531
"audio CD"	0.0569617
"tax policy"	0.0567768
"Outlook Express"	0.0562993
"business processe"	0.0558035
"cost structure"	0.0556543
"computer code"	0.0551821
"marketing effort"	0.0550641
"sales outlet"	0.0549159
headcount	0.0541474
"Resolution @@@"	0.0540037
"early warning system"	0.0538438
motherboards	0.053641
"rating system"	0.0536023
"pilot program"	0.053578
methodology	0.0526789
"defense system"	0.0524008
"code of conduct"	0.0523591
"political system"	0.0522794
simulator	0.0522376
"golf game"	0.052101
"user interface"	0.0517726
"trading system"	0.0517301
Sharia	0.0515975
"service program"	0.0515004
workstation	0.0514505
"production line"	0.0513897
"sales force"	0.0513066
"railway system"	0.0510827
"power system"	0.0509333
"U.N. Security Council Resolution @@@"	0.050839
Projector	0.050715
"telecommunication system"	0.0504216
"rocket engine"	0.050306
calculator	0.0502225
"telephone booth"	0.0502014
"information service"	0.0500941
endoscope	0.0500609
"licensing agreement"	0.0500028
"National Health Service"	0.0499784
"sewage system"	0.0495556
"market economy"	0.049507
"balance sheet"	0.0494463
"plan of action"	0.0494317
"manufacturing business"	0.0494274
"automatic teller machine"	0.0492478
"voting machine"	0.049182
"cooling system"	0.0491319
"monitoring program"	0.0490914
"banking industry"	0.0490844
"social contract"	0.048923
bylaw	0.0489048
desktops	0.048904
"heating system"	0.0488006
"training program"	0.0487114
typeface	0.0484014
"power unit"	0.0483484
"labor contract"	0.0480003
Hotmail	0.0479915
tracking	0.0479894
"economic policy"	0.0479594
"state-owned enterprises"	0.0478766
procurement	0.0477928
"brokerage account"	0.0477306
macro-economy	0.0476139
"telephone exchange"	0.0476113
"Palm VII"	0.0474323
"secondary education"	0.047396
composing	0.0473188
syllabus	0.0472932
"credit report"	0.047234
"drainage system"	0.0471299
"management style"	0.0470855
"Beijing Declaration"	0.0470696
classification	0.0470428
"consulting company"	0.046993
pricing	0.0469424
"value added tax"	0.0467262
"trade policy"	0.0467077
"air-to-air missile"	0.0465894
"power grid"	0.0465565
"tax collection"	0.0465378
"ad blitz"	0.0464487
"highway system"	0.0464132
"computer program"	0.0462548
meltdowns	0.0462344
gadgetry	0.0460075
avionics	0.0458713
"application program"	0.0458559
"control center"	0.0458533
"Resolution @@@@"	0.0458206
foul-up	0.0457431
CRC	0.0456381
circuitry	0.0455998
"Office @@@@"	0.045484
transponder	0.0453605
"product line"	0.0453015
"Windows CE"	0.0452959
taxation	0.0452661
"business plan"	0.0452534
"business relation"	0.0452098
"weapons system"	0.0452012
"alarm system"	0.0451769
"investment climate"	0.0451343
"child welfare agency"	0.0451044
formulation	0.0450201
"suspension system"	0.0449815
mainframe	0.0448725
"production facility"	0.0446299
"reading program"	0.0446052
"athletic facility"	0.0444594
"scientific method"	0.0444493
resellers	0.0444273
"development strategy"	0.0443778
"fund-raising campaign"	0.0443595
"power structure"	0.044345
"expansion plan"	0.0442865
"marketing program"	0.0442542
"back office"	0.0442348
"business line"	0.0442068
"customer service"	0.0441972
"head count"	0.0441613
"trading floor"	0.0441185
scheduling	0.044111
"sense of direction"	0.044106
"security consultant"	0.0440798
rectification	0.0439805
"insurance market"	0.0438902
"defense program"	0.0438626
"investment fund"	0.0438508
"computer application"	0.0438354
"rule of evidence"	0.0437828
))
(accouterment (desc 2848.91) (sims
accoutrement	0.128291
shallowness	0.0831703
trapping	0.068498
accessory	0.0647449
"business line"	0.0615956
Truism	0.0603489
"white elephant"	0.0584779
newness	0.0577115
bauble	0.0576506
armband	0.056851
patina	0.0550903
"durable goods"	0.0550301
"entitlement program"	0.0547502
"safety feature"	0.0546747
celebs	0.0527111
underpinnings	0.0524869
garb	0.0524244
facet	0.0517562
furnishings	0.0515928
"rubber boot"	0.0513455
plumage	0.0499613
"media property"	0.0494731
impossibility	0.0492714
peculiarity	0.0490092
trappings	0.0478962
continuum	0.0478935
ethos	0.0476558
vibrancy	0.0471101
expedient	0.0468717
embellishment	0.0468509
"ski mask"	0.0466448
major-leaguers	0.0465445
ferment	0.0464999
"life jacket"	0.0461277
absurdity	0.0459698
intangible	0.0457695
"social activity"	0.0457652
inhibition	0.0457485
"period piece"	0.0455717
magnificence	0.0453273
"clean slate"	0.0453125
"bathroom fixture"	0.0450699
"piece of furniture"	0.0450664
"nooks and crannies"	0.0448916
exigency	0.0444236
dud	0.0441922
pluses	0.0441491
regalia	0.0441121
"cooking utensil"	0.0440625
"hot issue"	0.0435489
"odds and ends"	0.0435307
"component part"	0.0435281
preserver	0.0435136
perfume	0.0434527
"social event"	0.0433853
mumbo-jumbo	0.0430485
adherent	0.0430137
vicissitude	0.042833
detritus	0.0427621
"reference point"	0.0424324
lore	0.0423745
totality	0.0419719
showplace	0.0419594
thinness	0.0419223
"guessing game"	0.041911
"nook and cranny"	0.0418898
iconography	0.0417085
nuance	0.0414065
"role player"	0.0413647
dreadlocks	0.0413417
chronicler	0.0413251
touchstone	0.0412285
semblance	0.0412062
waistcoat	0.0409859
paperweight	0.0406433
evocation	0.0406307
bedding	0.040471
"line of business"	0.0404088
gizmo	0.0403906
"sum total"	0.0402074
totem	0.0401758
"roller skate"	0.0401523
"black tie"	0.0401311
enabler	0.0400948
))
(accoutrement (desc 831.012) (sims
accouterment	0.128291
Frisbee	0.0856804
thinness	0.0844132
totem	0.0814072
perquisite	0.0809264
artificiality	0.0794162
detritus	0.0773504
vicissitude	0.0758083
"inferiority complex"	0.0757216
sobriquet	0.0714871
inhibition	0.0708579
antecedent	0.069442
"media property"	0.0683801
enabler	0.066349
apex	0.0658837
rightness	0.0657778
"trump card"	0.0640219
aphrodisiac	0.0638376
distillation	0.0633469
"purchase contract"	0.0623051
intangible	0.061994
personification	0.0619485
"retail operation"	0.0603218
"component part"	0.0602741
indignity	0.0602376
nicety	0.0601399
preconception	0.0594028
aperitif	0.059274
patina	0.0590885
edginess	0.0590448
appendage	0.0588691
"brain wave"	0.058696
memento	0.0581593
manhood	0.0580969
vibrancy	0.0580269
usurpation	0.0579896
"electric current"	0.057651
"point of entry"	0.057622
insularity	0.0575423
flotsam	0.0575039
Patrimony	0.0572715
summation	0.0572528
"ownership stake"	0.0571131
inferiority	0.0570742
"warning signal"	0.0569832
trope	0.0567321
trespasser	0.0567166
ergonomics	0.0563431
symmetry	0.0562435
Orbiter	0.0561267
RIPOSTE	0.0559516
cachet	0.055846
wattage	0.0557324
"sphere of influence"	0.0552357
receptivity	0.0552159
solidity	0.0551714
indentation	0.0551103
verity	0.0548952
avocation	0.0548616
"safety feature"	0.0547825
"distinctive feature"	0.0547482
"meteorological satellite"	0.0547045
imprimatur	0.0546974
amphibian	0.0546117
happiest	0.0546086
keepsake	0.0538744
reflector	0.0537242
autocracy	0.0533288
epilogue	0.0532879
"triple play"	0.0532044
birdbath	0.0530524
absurdity	0.0530315
refinement	0.0530053
"wedding gown"	0.0529125
bookend	0.0528527
rawness	0.0527144
"hiding place"	0.0525309
"electrical device"	0.0525117
RedHawks	0.0524796
oomph	0.0523891
zodiac	0.0521768
speller	0.0519874
potentiality	0.0517535
commonality	0.0517359
centralization	0.0514596
"written record"	0.0514571
pitchman	0.0513499
"white elephant"	0.0513078
dimple	0.0513016
"life preserver"	0.0512115
exigency	0.0511372
"boat race"	0.0510028
"nooks and crannies"	0.0509638
"two bags"	0.050942
nonentity	0.0508492
whiplash	0.0508228
"won-lost record"	0.0507366
fullness	0.0507081
ID.	0.0502694
"grocery bag"	0.0501469
"Hail Mary"	0.0501217
"reference point"	0.0500741
nexus	0.0500703
"measuring stick"	0.0499686
Auger	0.049884
whistle-blower	0.0498554
"chess player"	0.0497831
"reaction time"	0.0497204
"treasure house"	0.0496874
peculiarity	0.0496733
paperweight	0.0496181
analogue	0.0495701
mooring	0.0494372
beepers	0.0494208
"piece of furniture"	0.0491678
pluses	0.0491254
"seal of approval"	0.0491118
fixer	0.0488913
"piggy bank"	0.0488367
"Human Immunodeficiency Virus"	0.0487478
"New Frontier"	0.0485734
"nook and cranny"	0.0485501
cross-pollination	0.0485201
strangeness	0.0485078
vagabond	0.0484728
portent	0.0483313
"patent right"	0.0483069
"eye opener"	0.048258
"raw talent"	0.0482532
"Passion play"	0.0481451
"floor plan"	0.0480979
insulator	0.0480737
amplifier	0.0479205
mushers	0.0478998
"leading lady"	0.0478201
"department employee"	0.0477427
"writing desk"	0.047731
behinds	0.0477163
pushcart	0.0475957
"birthday gift"	0.0475009
"Achilles' heel"	0.047481
Rhodesia	0.0472602
fallback	0.0472251
orderliness	0.0471024
weakling	0.0470891
mockup	0.0469463
adornment	0.0469282
Zonolite	0.0469047
"Big Unit"	0.04684
adhesion	0.0466435
"trading post"	0.0466399
DECADENCE	0.0466216
fillip	0.0465959
telomeres	0.0465888
frivolity	0.0465598
oxymoron	0.0465314
heft	0.0464743
apotheosis	0.0463817
enumeration	0.0463683
diagonal	0.0462775
zeitgeist	0.0462124
armful	0.0461994
vestige	0.0461488
"day laborer"	0.0459512
"financial obligation"	0.0458893
gizmo	0.0458696
centrality	0.0458125
"ticket stub"	0.045805
abomination	0.0457906
meritocracy	0.045719
comforts	0.0456862
"time machine"	0.0456568
agglomeration	0.0456551
ordinariness	0.0456037
"golf bag"	0.0455814
inflection	0.0455462
earthiness	0.0455091
progenitor	0.0454086
relativism	0.0453993
"legal instrument"	0.0453944
copout	0.0453802
"guessing game"	0.0453592
neuroses	0.0453148
lead-in	0.0452023
"Christmas gift"	0.0451938
connectedness	0.0451815
paratroops	0.0451473
entryway	0.0450579
wellspring	0.0450261
matzoh	0.0449628
trappings	0.0449301
"preconceived notion"	0.0448644
ignominy	0.0448135
navel	0.0447711
"natural state"	0.0446341
apogee	0.0445984
"final exam"	0.0445632
blandishment	0.0445543
"high-water mark"	0.044529
ethos	0.0445108
))
(Accra (desc 10262) (sims
Gaborone	0.21918
Windhoek	0.219049
Tbilisi	0.212016
Abidjan	0.20065
Abuja	0.200384
Pretoria	0.193587
HARARE	0.185183
Dushanbe	0.176957
Lome	0.174282
Tashkent	0.172951
Asmara	0.172574
Kigali	0.171461
Conakry	0.170873
Monrovia	0.167447
Mbabane	0.1673
Chisinau	0.166584
MANAMA	0.162686
MAPUTO	0.161216
Algiers	0.16039
Lusaka	0.160206
Doha	0.159922
Tripoli	0.157325
Nairobi	0.156608
Luanda	0.155213
Durban	0.153759
Asuncion	0.153465
JOHANNESBURG	0.151376
Riyadh	0.151315
"Addis Ababa"	0.149813
Yerevan	0.149102
Bishkek	0.148675
Skopje	0.148467
Yaounde	0.147695
Vilnius	0.147307
KIEV	0.146999
Arusha	0.146552
Maseru	0.146206
"Cape Town"	0.143845
LISBON	0.143713
BUCHAREST	0.143561
Minsk	0.143541
Vientiane	0.140615
Ouagadougou	0.14027
Bujumbura	0.138928
"Dar es Salaam"	0.138206
Oslo	0.136624
Muscat	0.136278
CAIRO	0.136141
Islamabad	0.135695
Lahore	0.135681
Baku	0.135459
Lagos	0.134935
KAMPALA	0.134528
Rabat	0.13433
SOFIA	0.134171
Sarajevo	0.132964
Belfast	0.132602
Dakar	0.132037
Ashkhabad	0.130653
Freetown	0.130584
Astana	0.130134
BRUSSELS	0.13008
Dublin	0.129371
Amman	0.129129
Jeddah	0.12857
Kinshasa	0.127771
ZAGREB	0.127229
Geneva	0.126759
"San Salvador"	0.126266
CARACAS	0.125799
Khartoum	0.124225
HANOI	0.123584
ANKARA	0.123348
Bamako	0.12284
"Kuala Lumpur"	0.122564
"New Delhi"	0.122385
SEOUL	0.122122
"Santo Domingo"	0.121082
Zurich	0.120484
Havana	0.120445
Madrid	0.120366
Kabul	0.120317
"Buenos Aires"	0.119712
Peshawar	0.119342
STOCKHOLM	0.118925
DHAKA	0.117995
Moroni	0.117324
Suva	0.117312
Ljubljana	0.117236
"Tel Aviv"	0.117157
BOGOTA	0.116939
Istanbul	0.116659
Beirut	0.116502
Dili	0.11632
YANGON	0.116166
Bangkok	0.115985
Managua	0.115555
Damascus	0.115394
Bern	0.115266
Manila	0.115257
"Guatemala City"	0.11518
Bangui	0.11467
"Nigerian capital"	0.114647
BRATISLAVA	0.114584
COLOMBO	0.113921
Tallinn	0.113192
Strasbourg	0.112991
Bonn	0.112824
Pristina	0.11252
PATNA	0.11247
Srinagar	0.11234
PALERMO	0.112275
NICOSIA	0.112092
Vienna	0.11205
"Port Moresby"	0.111716
Quito	0.111713
Helsinki	0.111669
Santiago	0.111457
Copenhagen	0.111364
WARSAW	0.110827
"Abu Dhabi"	0.110291
"Phnom Penh"	0.11027
Jakarta	0.109998
TEGUCIGALPA	0.109808
Prague	0.109742
Tehran	0.10926
TIRANA	0.108614
Perth	0.108351
Bissau	0.107923
SANAA	0.10749
Vladikavkaz	0.107365
Dodoma	0.107157
BRASILIA	0.106911
TUNIS	0.106069
"Ho Chi Minh City"	0.105895
Lausanne	0.105646
Reykjavik	0.10562
PYONGYANG	0.105455
Calcutta	0.104695
Kuching	0.104232
Honiara	0.103762
"Egyptian capital"	0.102554
Cartagena	0.102539
Kandahar	0.102283
Ndola	0.101493
Libreville	0.101491
"La Paz"	0.101082
BUDAPEST	0.10102
BEIJING	0.100747
ATHENS	0.100628
Brisbane	0.100117
Alexandria	0.100058
Berlin	0.100042
BLANTYRE	0.100023
Lucknow	0.0999164
MELBOURNE	0.0997511
Almaty	0.0993809
Wellington	0.0989857
Langkawi	0.0987909
Togo	0.0979589
"Sao Paulo"	0.0979535
"Banja Luka"	0.0976568
Baghdad	0.0976097
Frankfurt	0.0975471
BELGRADE	0.0975228
Chennai	0.0974042
Moscow	0.0962356
"Malaysian capital"	0.096146
Ramallah	0.0954456
Munich	0.0948128
Davos	0.0948013
Naples	0.0947417
"Burkina Faso"	0.0947383
Katmandu	0.0944554
"Mexico City"	0.0942709
Port-au-Prince	0.0941424
Jayapura	0.0937846
Rome	0.0935834
Auckland	0.0931059
Murmansk	0.0926304
Amsterdam	0.0925767
Riga	0.0923773
Merida	0.0923516
Kuito	0.0922212
Kunming	0.0921732
Lubumbashi	0.0915153
Gaza	0.091369
Lima	0.0911616
Tokyo	0.09101
Kathmandu	0.0908395
Paris	0.0908217
Honolulu	0.0905095
Lhasa	0.090312
"San Juan"	0.0899062
Urumqi	0.0892508
"Ulan Bator"	0.0890877
Cardiff	0.0890655
Yinchuan	0.0889984
CHENGDU	0.0885742
Karachi	0.0884685
))
(accreditation (desc 9950.64) (sims
certification	0.174103
"work permit"	0.12823
"security clearance"	0.110864
citizenship	0.106644
registration	0.104166
naturalization	0.103403
"marriage license"	0.102881
eligibility	0.0995078
licence	0.0939835
license	0.0914545
visa	0.0912623
authentication	0.0909718
residency	0.0890282
clearance	0.0854787
ISO@@@@	0.0851224
credential	0.0846155
qualification	0.084432
funding	0.0840777
membership	0.0823776
passport	0.0817417
identification	0.0806022
evaluation	0.080592
"seal of approval"	0.0802531
"driver's license"	0.0794328
authorization	0.078937
"right to vote"	0.0782711
asylum	0.0776084
certificate	0.0767174
admission	0.0758827
appraisal	0.0756038
"identity card"	0.0744795
verification	0.07439
reinstatement	0.0729049
inspection	0.0726808
clemency	0.0725371
waiver	0.0717499
recognition	0.0709157
financing	0.0699225
GSP	0.0698423
exemption	0.0695196
amnesty	0.0695026
reimbursement	0.0691007
"disability benefit"	0.0682473
"building permit"	0.0681857
approval	0.0677132
"quality control"	0.0676898
privilege	0.0673604
parole	0.0668476
compliance	0.0666862
"fishing license"	0.0663382
visitation	0.0662452
MFN	0.0658612
diploma	0.0657716
commendation	0.0656578
documentation	0.0651809
"food stamp"	0.064521
immunity	0.0636029
"legal status"	0.0635193
sponsorship	0.0634869
standardization	0.0630556
deferment	0.0628593
"financial aid"	0.0621835
assessment	0.0618532
"stay of execution"	0.0615441
commutation	0.0610364
notification	0.0609602
"medical care"	0.060893
interagency	0.0599154
accountability	0.0596203
employment	0.0594655
permission	0.0588492
testing	0.0586911
allocation	0.0580889
arbitration	0.0580872
vaccination	0.0579539
acceptance	0.0578415
pardon	0.0577862
Medicaid	0.057166
liquidation	0.0569555
classification	0.0568322
"social service"	0.0562081
reporting	0.0561267
admittance	0.0559423
recruitment	0.0557961
oversight	0.0555385
ratification	0.0554422
bail	0.0550619
autonomy	0.0546361
compensation	0.054601
curriculum	0.0545284
captaincy	0.0540712
furlough	0.0537514
fact-finding	0.0533773
patent	0.0532812
"background check"	0.0530421
"summary judgment"	0.0528054
listing	0.0527986
telemedicine	0.0525268
validation	0.0525196
censorship	0.0523949
sanitation	0.0521144
examination	0.0519696
"hospital care"	0.0519415
directive	0.0519096
NTR	0.0516903
renewal	0.0516827
restitution	0.0514033
audit	0.0512289
resettlement	0.0510918
supervision	0.0507657
proficiency	0.0503673
"retirement benefit"	0.0503596
warrant	0.0501265
subsidy	0.0499829
pension	0.0495397
refund	0.0494116
"child care"	0.0494106
fast-track	0.0492522
disclosure	0.0490767
procurement	0.0490555
"birth certificate"	0.0490513
ID	0.0489213
representation	0.04874
charter	0.0485305
acclaim	0.0484187
"medical aid"	0.0481224
extradition	0.0481001
"health insurance"	0.0480848
refereeing	0.0480487
candidature	0.0479708
bookkeeping	0.047955
confirmation	0.047952
Privacy	0.047923
"competitive advantage"	0.047872
designation	0.0478299
competency	0.0476734
nutrition	0.0476436
desegregation	0.0476317
custody	0.0475566
consent	0.0474726
ordination	0.0473137
rebate	0.047301
governance	0.0472028
"legal right"	0.0471898
"due process"	0.0471521
leniency	0.047055
disbarment	0.0470152
enforcement	0.0467786
schooling	0.046633
"absolute majority"	0.046591
mandate	0.0464617
coordination	0.0464405
"tax benefit"	0.0464102
quorum	0.0463952
legitimacy	0.0462936
disarmament	0.0461509
suitability	0.0461135
"patent right"	0.0460248
"power of attorney"	0.0460123
childcare	0.045839
dollarization	0.0458215
remuneration	0.0457724
assurance	0.0457102
scholarship	0.0456106
curricula	0.0454843
"credit rating"	0.0454077
referral	0.0453575
harmonization	0.0452427
screening	0.0452424
"economies of scale"	0.0451717
Japan-U.S.	0.0451356
moratorium	0.0451312
"head count"	0.0451307
mediation	0.0449507
injunction	0.0449291
abatement	0.044885
"blood donor"	0.0448808
relocation	0.0448027
beautification	0.0445646
reparation	0.044499
Exam	0.0444375
warranty	0.0443815
mobility	0.0443593
ISO	0.0443549
counterterrorism	0.0442994
hygiene	0.0442801
"export credit"	0.0441543
statehood	0.0440805
enrollment	0.0440553
voucher	0.0440137
placement	0.0438696
quota	0.0437503
competitiveness	0.0437275
"permanent normal trade relations"	0.0437039
"trade relation"	0.0434484
repatriation	0.0433912
accounting	0.0432705
dignity	0.0432568
induction	0.0432171
counseling	0.0431229
))
(accretion (desc 1056.69) (sims
CD-R	0.108632
dissipation	0.10467
fount	0.0991944
DIVX	0.0756061
accumulation	0.0724343
Win@@	0.0721556
squandering	0.0687941
redistribution	0.067802
divestment	0.0653524
TRIER	0.0641439
diffusion	0.0629145
Compendium	0.0621896
"Balkan Wars"	0.0620112
decomposition	0.0614455
optimization	0.0609225
"sum total"	0.0608549
hardening	0.0588531
shedding	0.0587946
transcription	0.058382
airing	0.0573984
"treasure house"	0.0567771
hodgepodge	0.0560235
crystallization	0.0556065
dilution	0.0542176
finds	0.0539949
blending	0.0539182
dissemination	0.0538786
lode	0.052927
welter	0.052811
POTPOURRI	0.0520905
worn	0.0515429
gigabyte	0.0507764
smattering	0.050318
melting	0.0497408
"practical application"	0.0484931
leakage	0.0478777
evaporation	0.0478709
"data file"	0.0475706
withholding	0.0475253
"square inch"	0.0475052
recidivism	0.0471191
reallocation	0.0470364
"limited edition"	0.0468918
Balkanization	0.0466023
"reaction time"	0.0465076
"about @ tablespoons"	0.0464223
corroboration	0.0462698
Raducan	0.0459517
"public exposure"	0.0458897
ripening	0.0457976
"audio CD"	0.0457179
uncovering	0.0456375
"Andreea Raducan"	0.0454393
ream	0.0452665
oodles	0.0450237
singsong	0.0449876
politeness	0.0449722
layering	0.0449413
veracity	0.0448407
distinctiveness	0.0448252
Americanization	0.044626
vicissitude	0.0439013
Zacarias	0.0438155
Ostracism	0.0429807
contemplation	0.0426154
falsity	0.0424747
vestige	0.0422379
trashing	0.0420806
dispersal	0.0419514
anticlimax	0.0419183
surfeit	0.0418772
"fire sale"	0.0416709
uptake	0.0416628
"call girl"	0.041373
specificity	0.0411559
"one bit"	0.0411481
airflow	0.0411025
blurring	0.041101
unionization	0.0408167
metalwork	0.0406905
Concealment	0.0406081
Demjanjuk	0.0405243
drumbeat	0.0405031
megabyte	0.0404547
crispness	0.0404533
paucity	0.0404194
"four tons"	0.040172
promulgation	0.0401238
fulfilment	0.0401137
Dodik	0.0400692
getup	0.040049
reinterpretation	0.0400265
))
(accumulation (desc 19832.7) (sims
buildup	0.120775
Snowfall	0.0974679
rainfall	0.0936205
outflow	0.0913542
flow	0.0903956
stockpiling	0.0899539
amount	0.0896576
concentration	0.0859288
erosion	0.0837818
depletion	0.0822197
absorption	0.0819777
leakage	0.0814682
deterioration	0.0797355
influx	0.0783312
precipitation	0.0773444
inflow	0.0770714
saving	0.0757043
reduction	0.0746765
emission	0.0742589
"Up to @ inches"	0.0740085
scarcity	0.0738245
utilization	0.0737393
deposit	0.0726725
accretion	0.0724343
degradation	0.0721766
discharge	0.0717927
"price increase"	0.0714827
distribution	0.0709744
build-up	0.0704264
leak	0.0700565
oversupply	0.0699938
shortage	0.0699745
shortfall	0.0698002
allocation	0.0693568
write-down	0.0693485
quantity	0.0688529
dumping	0.0681226
backlog	0.0679487
fluctuation	0.0672515
exploitation	0.0671071
melting	0.0666179
growth	0.065877
Proliferation	0.0657299
deforestation	0.0657258
escalation	0.065673
"noise level"	0.0656495
consumption	0.0654265
glut	0.0653943
stockpile	0.0649952
importation	0.0648284
pollution	0.0647467
depreciation	0.0639681
borrowing	0.0633675
intake	0.0626471
"gross income"	0.0617068
avalanche	0.0616292
rain	0.0615951
volatility	0.0615574
deflation	0.0613451
decrease	0.0612802
"rapid growth"	0.0611241
breakdown	0.0604319
disruption	0.0604316
contraction	0.0603288
repayment	0.060282
flood	0.0598983
payout	0.0597413
inhalation	0.0597197
recurrence	0.0594724
deluge	0.0594313
shrinkage	0.059363
malfunction	0.0592897
snow	0.059191
contamination	0.0591593
diversification	0.059058
downpour	0.0588734
consolidation	0.058814
volume	0.0588037
write-off	0.0585627
recovery	0.0585474
urbanization	0.0584706
removal	0.0584598
cloud	0.0583772
density	0.058351
dearth	0.0582818
layer	0.0582387
imbalance	0.0580105
shower	0.0579197
overuse	0.0577492
"nest egg"	0.0577475
"more than @@@ million tons"	0.0575201
payment	0.0575025
availability	0.0573884
"soil erosion"	0.0570068
"financial loss"	0.056953
particle	0.0568584
storage	0.0567896
seizure	0.0566313
"brain drain"	0.0565845
infestation	0.0565661
overload	0.0564702
overproduction	0.0562454
aggregation	0.0562044
"market correction"	0.0561744
retention	0.0560549
exodus	0.0560505
sum	0.0560243
devaluation	0.0557555
"job cut"	0.0556778
dissemination	0.0555681
"earnings growth"	0.0554653
blockage	0.0554568
"budget deficit"	0.0553382
spill	0.0552735
weight	0.0551913
exposure	0.0551849
adjustment	0.0547936
slowdown	0.0546375
redistribution	0.0545669
felling	0.054391
destruction	0.054378
"flow rate"	0.0540823
inflation	0.0538649
disposal	0.0538131
burden	0.0536741
advancement	0.0536664
recycling	0.0535159
"more than @,@@@ tons"	0.0534038
pile	0.0533037
usage	0.0532177
overhang	0.0531885
expenditure	0.0531017
confluence	0.053065
processing	0.0530432
runoff	0.0530004
inventory	0.0529702
"tax bill"	0.0527861
slippage	0.0527553
expansion	0.0527144
disclosure	0.0526263
spillage	0.0525611
misuse	0.052473
"purchase price"	0.0524155
payoff	0.0522418
income	0.0521579
manipulation	0.0521081
"tidal wave"	0.0521077
surplus	0.052089
outages	0.0520494
cutback	0.05199
acceleration	0.0518758
transformation	0.051867
workload	0.0518663
diversion	0.0518372
"air pollution"	0.0518012
contribution	0.0517656
misunderstanding	0.051718
humidity	0.0517075
harvest	0.0517016
seepage	0.0515768
welter	0.0515201
temperature	0.0514833
commercialization	0.0513817
outlay	0.0513125
"voter turnout"	0.0512896
ratio	0.0512523
infusion	0.0512503
evaporation	0.0511686
deployment	0.0510884
logging	0.0510566
emergence	0.051045
pattern	0.0510427
windfall	0.0510104
improvement	0.050835
"up to @@ inches"	0.0507463
congestion	0.0507157
migration	0.0505682
issuance	0.0505116
resurgence	0.0504543
"employment growth"	0.0503494
disbursement	0.0503394
hike	0.0503286
occurrence	0.0502818
"wear and tear"	0.0502679
rollovers	0.0502289
holding	0.050193
spending	0.0501617
deficit	0.0500657
shipment	0.0500332
"blood clot"	0.0499967
withdrawal	0.0499539
elimination	0.0499425
disparity	0.0499025
slowing	0.0498739
unemployment	0.0498415
transmission	0.0498382
realignment	0.0497566
dilution	0.0497472
savings	0.049544
extraction	0.0495403
))
(accuracy (desc 38616.7) (sims
reliability	0.186986
precision	0.138701
objectivity	0.13307
authenticity	0.132023
veracity	0.129574
effectiveness	0.128508
fairness	0.127194
efficiency	0.120617
validity	0.119823
integrity	0.118433
consistency	0.115852
quality	0.115266
honesty	0.114357
credibility	0.111523
ability	0.110856
durability	0.104068
timeliness	0.102702
timing	0.102188
clarity	0.100862
truthfulness	0.0987784
toughness	0.0968358
transparency	0.0950503
strength	0.0941143
skill	0.093538
competence	0.0933509
mobility	0.0908138
capability	0.0905448
stamina	0.0901703
efficacy	0.0899144
sincerity	0.0891626
impartiality	0.0889401
speed	0.0886593
intensity	0.0883294
depth	0.0868943
seriousness	0.0847871
certainty	0.0846399
availability	0.0843753
safety	0.0842076
professionalism	0.0837137
legitimacy	0.0832431
quickness	0.0831208
velocity	0.0827628
breadth	0.0823573
profitability	0.0822216
viability	0.081484
poise	0.0809235
flexibility	0.0806321
legality	0.0802613
adequacy	0.0800146
completeness	0.0792645
accountability	0.0777497
Openness	0.0770544
dexterity	0.0769183
ethic	0.0767959
confidence	0.0767266
diversity	0.0766119
stability	0.0764876
simplicity	0.0757329
coherence	0.0749891
maneuverability	0.0745905
continuity	0.0738048
scope	0.0735371
competitiveness	0.0731981
specificity	0.072508
originality	0.072436
fitness	0.0723392
relevance	0.0722162
sensitivity	0.0721821
value	0.0718873
athleticism	0.0717418
size	0.0715779
trustworthiness	0.0712612
"job security"	0.0708575
versatility	0.0707773
predictability	0.0706754
detail	0.0703871
complexity	0.0701861
excellence	0.0701511
loyalty	0.070014
significance	0.0699036
outcome	0.069721
discipline	0.069674
content	0.0693838
proficiency	0.0692758
productivity	0.0692459
frequency	0.0689749
sophistication	0.0688706
balance	0.0687402
truth	0.0687122
Privacy	0.0685565
soundness	0.0683674
agility	0.0682882
intelligence	0.0681801
success	0.0681255
talent	0.0679503
confidentiality	0.0675806
uniformity	0.06753
readiness	0.0673088
purity	0.0671614
dignity	0.0669798
health	0.0669355
performance	0.0668161
knowledge	0.0666402
usefulness	0.0665249
aggressiveness	0.0665077
patience	0.0660088
disclosure	0.0659823
convenience	0.065963
"staying power"	0.0659214
compatibility	0.0657406
feasibility	0.0652056
concentration	0.0650654
candor	0.0650258
sustainability	0.0649142
endurance	0.0648877
maturity	0.0648842
wisdom	0.0644736
density	0.0642336
survival	0.0641084
subtlety	0.0637902
compliance	0.0634451
vitality	0.063128
courage	0.0630993
tenacity	0.0630635
appropriateness	0.0629098
longevity	0.0627554
determination	0.0624264
likelihood	0.0622277
qualification	0.0620986
willingness	0.0614739
thoroughness	0.0614207
popularity	0.0610462
accessibility	0.0609567
severity	0.0608312
capacity	0.0607493
freshness	0.060392
importance	0.0602857
merit	0.0602754
finding	0.0602637
"customer service"	0.0601176
liquidity	0.0600318
well-being	0.0599245
security	0.0599034
range	0.0599017
technique	0.0598123
inaccuracy	0.0597926
propriety	0.0596802
extent	0.0595741
scale	0.0594961
"quality of life"	0.059388
identity	0.0593152
interpretation	0.0591205
Constitutionality	0.0590997
diligence	0.0590864
potential	0.059064
potency	0.0589844
method	0.0589637
innovation	0.0589055
amount	0.0588933
literacy	0.0588822
acumen	0.0587652
turnout	0.0586233
suitability	0.0586151
judgment	0.0585952
status	0.0585694
Creativity	0.0585002
morality	0.0583659
boldness	0.0583227
realism	0.0582803
immediacy	0.0582258
preparedness	0.0581449
vision	0.0579362
placement	0.0578436
dedication	0.0577534
familiarity	0.0577312
impact	0.05766
percentage	0.0575803
weight	0.0575177
affordability	0.0573717
motivation	0.0573192
resiliency	0.057212
analysis	0.0571916
elegance	0.0571651
prowess	0.0570794
Innocence	0.0570082
beauty	0.05689
commitment	0.0568817
achievement	0.0568695
comfort	0.0568677
handling	0.0568198
fact	0.0568168
self-confidence	0.0568091
ferocity	0.0567008
vigor	0.0565577
compassion	0.0564648
"economies of scale"	0.0564598
secrecy	0.0562742
competency	0.0559756
nature	0.0557779
"standard of living"	0.055718
))
(accusation (desc 89602.5) (sims
allegation	0.352506
charge	0.213752
claim	0.188109
complaint	0.181752
criticism	0.179688
assertion	0.16777
rumor	0.156637
suspicion	0.150429
suggestion	0.148964
remark	0.128289
statement	0.127759
scandal	0.127757
evidence	0.126695
threat	0.124079
comment	0.124068
revelation	0.12376
report	0.123311
attack	0.122442
incident	0.122174
investigation	0.120813
lawsuit	0.116705
case	0.115368
controversy	0.114803
question	0.113069
speculation	0.110683
indictment	0.110617
testimony	0.109251
argument	0.107528
action	0.107418
abuse	0.106264
denial	0.104762
inquiry	0.102064
finding	0.101162
disclosure	0.100928
condemnation	0.100665
act	0.0999407
request	0.0994978
warning	0.0993235
decision	0.0991279
violation	0.0988102
proposal	0.0979504
attempt	0.0969627
objection	0.0966104
violence	0.0962602
protest	0.0958077
crime	0.0934205
concern	0.0916421
refusal	0.0899935
fear	0.0898698
prosecution	0.0893416
misconduct	0.0892239
rejection	0.0889713
failure	0.0887385
tactic	0.088642
arrest	0.0879976
behavior	0.0877381
conviction	0.0876975
aggression	0.086224
conspiracy	0.0857703
announcement	0.0855606
prediction	0.0852679
leak	0.0842548
count	0.0841972
conduct	0.0841137
story	0.0831168
recrimination	0.0829811
ruling	0.0827912
probe	0.0827508
"corruption scandal"	0.0827437
involvement	0.0821308
irregularity	0.0820139
contention	0.0818697
recommendation	0.0818589
killing	0.0817335
assault	0.0817324
issue	0.0816771
plea	0.0815459
confession	0.0814865
provocation	0.0812833
dispute	0.0811983
rhetoric	0.081192
notion	0.0811244
demand	0.0807764
fact	0.0807731
denunciation	0.0806912
fraud	0.0806902
wrongdoing	0.0802647
harassment	0.0800936
"legal action"	0.0797113
detail	0.079572
sanction	0.0795275
perception	0.0791073
activity	0.079029
Declaration	0.0790219
problem	0.0787789
corruption	0.0784871
stance	0.0781965
idea	0.0780444
bombing	0.0779952
challenge	0.0777678
"news report"	0.0777624
propaganda	0.0774487
pressure	0.0771171
possibility	0.0770731
insistence	0.0767474
theory	0.076537
policy	0.0759724
appeal	0.0756644
insult	0.0754441
conclusion	0.0754427
lie	0.0753105
reaction	0.0752091
matter	0.0747945
response	0.0747169
campaign	0.0745924
outrage	0.0743933
admission	0.0740076
verdict	0.0738133
Dismissal	0.0738089
suit	0.0736104
judgment	0.0734199
conflict	0.0733301
scrutiny	0.0732647
slander	0.0732442
article	0.0732298
outcry	0.0731038
massacre	0.0730516
accused	0.0729317
interference	0.0725197
atrocity	0.0725075
tragedy	0.072414
effort	0.0722253
pledge	0.0721661
intention	0.0715924
litigation	0.0715579
affair	0.0715482
opinion	0.0713761
assumption	0.0712928
perjury	0.0711901
murder	0.0710469
plot	0.0709771
account	0.0707659
tension	0.0705787
letter	0.0703621
explanation	0.0696778
opposition	0.0695635
"military action"	0.069447
crackdown	0.0694351
crises	0.0693262
AD	0.0692765
situation	0.0690301
attitude	0.0689806
assessment	0.0688607
interpretation	0.0687448
bribery	0.0686486
uncertainty	0.06854
plan	0.0685284
anger	0.0685022
hostility	0.0683754
intervention	0.0682063
unrest	0.068085
raid	0.0680578
lack	0.0680001
turmoil	0.0679348
description	0.0673665
vendetta	0.0673637
proceeding	0.0671254
grievance	0.0671097
taunt	0.0670412
motion	0.0668907
publicity	0.0667146
breach	0.066611
finger-pointing	0.066571
resignation	0.0663903
spate	0.0663674
delay	0.066335
misunderstanding	0.0662864
pattern	0.0660477
firing	0.0660097
information	0.0658486
crisis	0.0657301
news	0.0657294
view	0.0657087
invasion	0.0656854
impeachment	0.0656647
message	0.0656577
discrimination	0.065619
practice	0.0655801
instance	0.0655168
riot	0.0655159
incursion	0.0654664
handling	0.0653881
debate	0.0652405
questioning	0.0652127
worry	0.0650762
defection	0.064831
circumstance	0.0644552
prejudice	0.0643371
promise	0.0642146
relationship	0.0641467
))
(accused (desc 44048.4) (sims
defendant	0.135441
suspect	0.127455
perpetrator	0.104251
"Iranian Jews"	0.0894465
Libyan	0.0877316
Schwarz	0.0768182
accomplice	0.0750156
victim	0.0747431
offender	0.0746738
Hijacker	0.0734145
accusation	0.0729317
allegation	0.0722603
criminal	0.0721438
detainee	0.0718747
inmate	0.0707375
officer	0.0694835
Papon	0.067671
wounded	0.0674011
mastermind	0.0672662
Anwar	0.0660172
"war criminal"	0.065953
co-conspirator	0.0653119
prisoner	0.0652977
plaintiff	0.0650454
witness	0.0646986
assailant	0.0644144
Pinochet	0.0642197
terrorist	0.063758
Laden	0.0626998
murderer	0.0626743
ringleader	0.0626731
Killer	0.0623687
co-defendants	0.0621338
fugitive	0.0620987
McDougal	0.0616018
attacker	0.0615947
"intelligence agent"	0.0607907
Gotti	0.0605358
"police officer"	0.0601529
"Bosnian Serb"	0.0599761
"drug trafficker"	0.0598604
Sheinbein	0.0595683
dissident	0.0590093
"army officer"	0.0589594
militant	0.0585956
trafficker	0.0572293
"murder suspect"	0.0572094
juror	0.0568735
crewmen	0.0566025
Cheung	0.0564829
violator	0.0561101
gunmen	0.0560153
Skakel	0.0559498
culprit	0.0558734
gunman	0.0558356
juvenile	0.0557065
evidence	0.0551727
furrow	0.0551689
"white man"	0.0549488
client	0.054397
Ocalan	0.0539102
businessman	0.0532985
Cisneros	0.0532336
soldier	0.0526589
citizen	0.0525055
person	0.0523461
Iranian	0.0522527
innocent	0.0521044
"Other @@"	0.0519152
Rapist	0.0519151
robber	0.0518015
escapee	0.0517714
suspicion	0.0515895
prosecution	0.0515444
Hubbell	0.0515296
"Susan McDougal"	0.0514056
judge	0.0512611
Lee	0.0512489
helping	0.0511414
Rao	0.0506457
instance	0.0505822
Flemmi	0.0504238
prosecutor	0.050187
"Raul Salinas"	0.0501521
Wiese	0.0501189
Volpe	0.0500497
employee	0.0499792
Pakistani	0.0499392
investigation	0.0498874
ally	0.0495955
supremacist	0.0495641
"military officer"	0.0495476
kidnapper	0.049329
survivor	0.0492954
felon	0.0492824
lawyer	0.0492533
policemen	0.0492257
"drug dealer"	0.0491755
smuggler	0.0488507
conspirator	0.0488063
"Augusto Pinochet"	0.0487837
dictator	0.0485459
immigrant	0.0484076
Jordanian	0.0483241
individual	0.048152
"Khmer Rouge"	0.0478587
Mohamed	0.0478228
"Ray Lewis"	0.0477589
deserter	0.0476642
Davidians	0.0475592
participant	0.0475525
hostage	0.0474675
Sharif	0.047299
Woodward	0.0472904
"cabinet minister"	0.0470196
agent	0.0469333
Tripp	0.0467484
Six	0.0466558
extremist	0.0466385
"crew member"	0.0465377
chun	0.0465009
Fagan	0.0462747
"Branch Davidians"	0.046213
"Abdullah Ocalan"	0.0460777
commander	0.0460241
Karbaschi	0.0460078
Palestinian	0.0460017
captive	0.0457953
"Anwar Ibrahim"	0.0455599
beneficiary	0.045438
Steele	0.0454339
rebel	0.0453848
national	0.045002
brother	0.0449557
aide	0.0449026
journalist	0.0448695
Salinas	0.0448604
"Wen Ho Lee"	0.0448532
Suharto	0.0448363
Ressam	0.0447607
activist	0.04472
Nichols	0.0446815
politician	0.0446245
Botha	0.0445739
Bhutto	0.0445231
Briton	0.0443756
relative	0.0442053
appointee	0.0440302
"more than @@@"	0.0439589
defector	0.0439374
conviction	0.0439091
mobster	0.0438761
saying	0.0438709
"nearly @@@"	0.0438452
Colonel	0.0438432
cover-up	0.0437784
Edwards	0.0437623
Osama	0.0436738
"about @@@"	0.0436344
V	0.0435463
Five	0.0434982
boy	0.0434483
Kaunda	0.043447
Haitian	0.0434061
crime	0.0433143
dozen	0.0433098
spy	0.0432073
contestant	0.043141
assassin	0.0431283
hundred	0.0430199
neighbor	0.0430113
hale	0.0428401
guerrilla	0.0428079
Colombian	0.0427941
servicemen	0.042778
accuser	0.0427646
Ahmed	0.0426802
misconduct	0.0425333
conspiracy	0.0424607
informant	0.0424443
Cop	0.0423511
foreigner	0.0423127
Algerian	0.0422979
"about @@"	0.0422424
businessmen	0.0420604
Eleven	0.0419857
alien	0.0419495
pilot	0.0419406
fundamentalist	0.0419264
"Nawaz Sharif"	0.0418868
ex-president	0.0418679
"black man"	0.0417829
diplomat	0.0416093
occupant	0.0415925
supporter	0.041526
"over @@@"	0.0413918
doe	0.0413641
Barton	0.0413126
burglar	0.0412859
"South African"	0.0412724
))
(accuser (desc 7283.95) (sims
Allchin	0.0795752
detractor	0.0777289
defendant	0.0769291
plaintiff	0.0761261
"defense team"	0.0757839
litigant	0.0729526
attacker	0.07262
adversary	0.0692053
co-defendants	0.0688355
Turetzky	0.0686935
accomplice	0.0686879
questioner	0.0675092
tormentor	0.0668286
Willey	0.0665939
antagonist	0.0663327
juror	0.0656724
"Vernon Jordan"	0.0656302
appointee	0.0655931
whistle-blowers	0.0650672
Schmalensee	0.0649103
"Kathleen Willey"	0.0646892
"defense lawyers"	0.0631241
paramour	0.0619188
Tevanian	0.0604349
jailer	0.0594698
confidant	0.0592868
shipmate	0.0588755
complainant	0.0588223
Ramseys	0.0586162
archenemy	0.0586095
inquisitor	0.0584962
assailant	0.0581069
"Kenneth Starr"	0.057822
informant	0.0578004
Jarrell	0.0570965
Gunmakers	0.057035
doubter	0.0566899
Fassett	0.056349
conferees	0.0559971
Starr	0.0558462
Hage	0.0558203
perpetrator	0.0553383
"FBI agent"	0.0546923
foe	0.0546421
"Sidney Blumenthal"	0.0546368
pursuer	0.0530808
"spin doctor"	0.0529397
Anand	0.0528268
Brawley	0.0522317
hostage-takers	0.0522283
petitioner	0.0520514
Tripp	0.051376
provocateurs	0.0513592
"trial lawyer"	0.0513029
Poole	0.0512976
"Russell Peeler"	0.0512288
McDougal	0.0511971
Philanderer	0.0510976
backer	0.0510174
co-chairs	0.0509311
speechwriter	0.0509019
conspirator	0.0503615
Currie	0.0499667
"Republican Congress"	0.0499309
surrogate	0.0495489
"Dan Morales"	0.049016
"campaign adviser"	0.0489784
"public defender"	0.0483919
co-defendant	0.0483638
cricketer	0.0481928
dalliance	0.0481827
disbarment	0.0481032
Lundy	0.0480521
Hersh	0.0479972
interrogator	0.0479517
Litigator	0.0478666
Blumenthal	0.0478599
rebounders	0.0476664
co-counsel	0.047519
Caddell	0.0474884
"Monica Lewinsky"	0.0474034
Lieutenant	0.047392
Cornyn	0.0473588
Cuomo	0.0472025
Pagones	0.0469357
hale	0.046885
culprit	0.0468549
Quackenbush	0.046739
"cabinet member"	0.0466987
Colburn	0.0466731
Klansmen	0.0466057
co-worker	0.0464856
honoree	0.0464601
Winnie	0.0464366
Ickes	0.0463005
apologist	0.0462842
abductor	0.0462025
eyewitness	0.0461967
co-conspirator	0.0461359
"Bruce Lindsey"	0.0457527
Jewell	0.0457198
Kulikov	0.0456079
constituent	0.0455546
Hoke	0.0454908
"ticket agent"	0.0454195
"cabinet minister"	0.0453379
Carneal	0.0452446
schoolmate	0.0451134
Harris-Lewis	0.0451128
Goldberg	0.0450002
"order of business"	0.0449349
Gravano	0.0448965
interlocutor	0.0448613
Skakel	0.0447871
Menchu	0.0446535
Mudge	0.044584
"Maria Hsia"	0.044505
indiscretion	0.0444071
narrator	0.0442977
Magistrate	0.0441756
bodyguard	0.0441367
Eappens	0.0440355
"Linda Tripp"	0.0440168
paparazzi	0.0440022
"committee member"	0.0438777
crewmates	0.0438421
Norris	0.0437027
challenger	0.0434316
gunman	0.0433752
enforcer	0.0432041
confidante	0.0431964
"solicitor general"	0.0431931
Maritz	0.0431069
"No. @s"	0.043088
Baumhammers	0.0429867
Hiett	0.0429424
crewmembers	0.0429183
exwife	0.0429105
"policy maker"	0.0429056
underling	0.0428875
housemates	0.0428739
"decision maker"	0.0427943
accused	0.0427646
Hijacker	0.042696
BLM	0.0426443
"point man"	0.0425896
"prosecuting attorney"	0.0425706
lawbreaker	0.0425172
Falater	0.042513
Steele	0.0424955
"power broker"	0.0424529
"Ken Starr"	0.0424254
Gwen	0.04241
interviewee	0.0423955
Berenson	0.0423216
Volpe	0.0421657
misbehavior	0.0421444
nemesis	0.0421322
Symington	0.0420792
frontrunners	0.0420594
Rogan	0.0420041
neo-Nazis	0.0419959
"first lady"	0.0419086
"staff member"	0.0418424
minion	0.0417612
protector	0.0417233
"El Hage"	0.0415335
"Paula Jones"	0.0415061
Cole	0.0414757
aspirant	0.0414545
"Albert Pirro"	0.0414459
debtor	0.0414251
staffer	0.041395
"Oded Eran"	0.0412621
"black person"	0.0412265
"wise man"	0.0411415
Warshaw	0.0410954
"foster mother"	0.0410599
"deputy sheriff"	0.0409921
Archer	0.0409497
co-accused	0.0409055
"law partner"	0.0408741
kidnapper	0.0408668
Capano	0.0408617
Blair	0.0408367
"Al Fayed"	0.0408132
Napolitano	0.0407818
"top executive"	0.0406613
Frankel	0.040586
TORTURER	0.0405607
strategist	0.0404623
spammers	0.0404275
acquaintance	0.0404039
acolyte	0.0403618
"Hillary Rodham Clinton"	0.0403253
tacklers	0.040319
playmakers	0.0403104
Levin	0.0402705
assassin	0.040241
Gritz	0.0401676
))
(ace (desc 39324.9) (sims
forehand	0.12481
pitcher	0.116381
birdie	0.108493
starter	0.104225
"service break"	0.102819
"passing shot"	0.100917
"starting pitcher"	0.0994834
backhand	0.0939839
righthander	0.0897416
"pitching coach"	0.0889419
winner	0.0888774
strikeout	0.0858833
volley	0.0854168
lefthander	0.0825843
hitter	0.0817396
"home run"	0.0807433
putt	0.080663
reliever	0.0801991
shutout	0.0796417
hole-in-one	0.0790973
fault	0.0787404
"Pedro Martinez"	0.0786922
"free throw"	0.0773438
shot	0.0771636
catcher	0.0769788
"base runner"	0.076776
serf	0.075775
"winning streak"	0.0750237
three-pointers	0.0743737
inning	0.0741085
bogey	0.0731823
rotation	0.0728954
"grand slam"	0.0713635
"field goal"	0.0712082
player	0.0711659
victory	0.0711646
double-faulted	0.0711143
goal	0.0707519
"match point"	0.0703871
error	0.0700951
batter	0.0698201
"Randy Johnson"	0.0697416
homer	0.0693011
"Kevin Brown"	0.0690997
touchdown	0.069098
"road game"	0.0674823
shortstop	0.0673341
slugger	0.0672358
"center fielder"	0.0669258
baserunners	0.0669069
"Roger Clemens"	0.0669053
no-hitter	0.0668581
tiebreaker	0.066585
outfielder	0.0659215
scorer	0.0658845
RBI	0.0656104
pitching	0.0650174
Hingis	0.0643951
double-double	0.0638369
Sampras	0.0636067
bullpen	0.0635275
wicket	0.0632842
"first baseman"	0.0631905
"Andy Ashby"	0.06299
Trey	0.0629548
groundstrokes	0.0626126
pitch	0.0625692
"third baseman"	0.062312
"unearned run"	0.0614689
interception	0.0611813
"nine points"	0.0608779
TDs	0.0602805
Seles	0.0601568
left-hander	0.059975
at-bat	0.059597
fastball	0.0595311
All-stars	0.0594131
"ground stroke"	0.059315
eagle	0.059114
Kuerten	0.0590627
streak	0.0590078
"losing streak"	0.0587476
"four homers"	0.0587217
"two homers"	0.0584695
"second baseman"	0.0584393
rebound	0.0582791
runner	0.0580816
"major leaguer"	0.0579984
hurler	0.0577729
dunk	0.05756
Kafelnikov	0.0574496
"Red Sox"	0.0574195
Smoltz	0.0572932
"minor leaguer"	0.0571355
"David Cone"	0.0567258
triple	0.0566265
straight	0.0564786
Rafter	0.0563409
Krajicek	0.0563381
Yankee	0.0562779
Clemens	0.0562603
Martinez	0.0561609
"home game"	0.0560215
knockout	0.0560137
Agassi	0.0559643
par	0.0558998
foul	0.0558659
eighth	0.0555474
"Tim Wakefield"	0.0554289
"power play"	0.0553901
All-Americans	0.0552507
title	0.0552127
Moya	0.0551074
lap	0.055018
"seeded player"	0.0549918
"Trevor Hoffman"	0.0549714
outs	0.0549492
comeback	0.0548834
deuce	0.0548723
brave	0.0548637
"foul shot"	0.0548065
"Tom Gordon"	0.0545407
"set point"	0.0544217
"Greg Maddux"	0.0543408
fifth	0.0542669
"Al Leiter"	0.0542537
triple-double	0.054219
"Ramon Martinez"	0.054033
spikers	0.0540001
ASTROS	0.0539715
"general manager"	0.0536701
"Derek Lowe"	0.053655
receiver	0.0536017
single	0.0535807
quarterback	0.0535287
"Alberto Berasategui"	0.0535147
"Thomas Enqvist"	0.0534795
"Orlando Hernandez"	0.0534316
"Pete Sampras"	0.0533824
"Nolan Ryan"	0.0533582
"Curt Schilling"	0.0532073
ninth	0.0529891
"five points"	0.0529661
rookie	0.0528889
overall	0.0528226
"left fielder"	0.0525683
"Marcelo Rios"	0.0524935
"Mariano Rivera"	0.0524779
golfer	0.0524283
"Cy Young Award"	0.0523552
"perfect game"	0.0522969
"Monica Seles"	0.052136
"six points"	0.0520979
"Matt Mantei"	0.0520486
MVP	0.0520427
superstar	0.0517106
"over .@@@"	0.0516996
Corretja	0.0516416
"eight points"	0.0514226
top-@@	0.0513858
rios	0.0513497
finalist	0.0513447
"base hit"	0.051101
goalie	0.0510386
hat-trick	0.0510079
seventh	0.0509993
"Andy Pettitte"	0.0509842
punch	0.050967
lineup	0.0509565
offense	0.0508252
nine	0.0508054
chance	0.0505842
dodger	0.0503918
"Andre Agassi"	0.0503785
"relief pitcher"	0.0503636
"Yevgeny Kafelnikov"	0.0502575
guy	0.0501743
"earned run"	0.0500276
ball	0.0500078
"seven points"	0.0499283
"Thomas Muster"	0.0498377
sellout	0.0497922
pair	0.0497862
infielder	0.0497856
"Tom Glavine"	0.0497157
jumper	0.049639
Sox	0.0495016
tackle	0.0494723
Rusedski	0.0494684
"Tommy Haas"	0.0494283
fumble	0.0493893
safe	0.0492658
teammate	0.0492633
"Sandrine Testud"	0.0491276
finisher	0.0491164
regular	0.0490679
turnover	0.0490356
"Bret Saberhagen"	0.0489584
outing	0.0489468
advantage	0.0488324
))
(Aceh (desc 11731.7) (sims
"Irian Jaya"	0.226024
Maluku	0.203466
"North Maluku"	0.178238
"East Nusa Tenggara"	0.167288
Sulawesi	0.161815
"East Timor"	0.158373
Abkhazia	0.145874
Ambon	0.142401
"West Timor"	0.139513
Bengkulu	0.12537
Mindanao	0.125296
Kashmir	0.123829
Sumatra	0.118774
"West Kalimantan"	0.11575
"South Sulawesi"	0.114256
Chechnya	0.107685
Kalimantan	0.100151
Riau	0.0996338
Cabinda	0.0984047
"Central Java"	0.0976896
Buldon	0.0970071
Basilan	0.0969669
Bamiyan	0.0968812
Kosovo	0.0959325
Medan	0.0952745
"Western Sahara"	0.0946727
"Democratic Republic of the Congo"	0.0942506
Quebec	0.0933301
Timor	0.0931505
"Sierra Leone"	0.0906173
Chiapas	0.0895491
Bali	0.0893207
"East Kalimantan"	0.0871606
Caprivi	0.0869851
Guinea-Bissau	0.0869486
"Northern Ireland"	0.0863524
Maguindanao	0.0863521
Afghanistan	0.0859761
DRC	0.0840822
Nagorno-Karabakh	0.0836655
Congo	0.0833965
Dagestan	0.083234
Punjab	0.0824595
Palembang	0.0822953
Sindh	0.0811174
Zhejiang	0.0804425
Zaire	0.0800791
"South Lebanon"	0.0792505
Angola	0.07891
Burundi	0.0786479
Jakarta	0.0784498
Guizhou	0.0779258
colony	0.0777071
Katanga	0.077268
Kwazulu-Natal	0.0769471
Shaanxi	0.0765804
Sudan	0.0760553
Sulu	0.0752989
Kurdistan	0.075276
Vojvodina	0.074683
Hainan	0.0743874
Gauteng	0.0741682
Somalia	0.0738403
Anhui	0.0738002
"CHIANG MAI"	0.0736342
Drenica	0.0736219
Anjouan	0.0732472
Caucasus	0.072754
Dili	0.0725848
Algeria	0.0724143
"North Caucasus"	0.0723703
"African nation"	0.0720683
Balkans	0.0719919
Qinghai	0.0717464
Bosnia	0.0715511
Lebanon	0.071473
"West Java"	0.0714215
Republic	0.0707116
"rift valley"	0.0705635
Colombia	0.0705045
Krasnoyarsk	0.0701822
"West Bank"	0.0700426
Shanxi	0.069958
"Democratic Republic"	0.0699394
"African country"	0.0698118
Tajikistan	0.069366
Taiwan	0.0693163
Atambua	0.0690336
Batam	0.0685927
Tibet	0.0685119
Kupang	0.0684076
Jolo	0.068277
Liberia	0.0680478
Sichuan	0.0679781
Kargil	0.0679038
Henan	0.0677191
subdistrict	0.0676652
"Democratic Republic of Congo"	0.0674501
KwaZulu/Natal	0.0670666
Cambodia	0.0669959
Montenegro	0.0669291
Herat	0.0667375
Surabaya	0.0666106
Okinawa	0.0664486
Cotabato	0.0658117
Heilongjiang	0.0655925
Lhokseumawe	0.0651754
Jaffna	0.0650291
Hebron	0.0646308
Jiangxi	0.0643587
Orahovac	0.0642259
Fujian	0.0641837
Huambo	0.0637432
Bougainville	0.0637333
Shandong	0.0635426
Mitrovica	0.0633994
Xinjiang	0.0633083
Hebei	0.0628132
Gansu	0.0627253
Trincomalee	0.0626556
Hunan	0.0625331
Jammu	0.0624517
Palawan	0.0621462
Antioquia	0.0619758
Grozny	0.0618918
Nicaragua	0.0618289
Kisangani	0.0616692
Guatemala	0.0616559
Tigray	0.0615862
"Sri Lanka"	0.0612006
Java	0.0610598
Laos	0.0610411
"Southern Philippines"	0.0609788
Jiangsu	0.0608916
Mogadishu	0.0605406
Liaoning	0.0605085
Somaliland	0.0602851
Haiti	0.0600045
"El Salvador"	0.0598475
"Gaza Strip"	0.0596963
Tete	0.0592488
Yunnan	0.0590555
"Inner Mongolia"	0.058798
Comoros	0.0585917
Zanzibar	0.0585688
Rwanda	0.058556
Bosnia-Herzegovina	0.0585148
"Kosovska Mitrovica"	0.0585122
Gaza	0.0583634
Karachi	0.05836
Vieques	0.0582667
Batticaloa	0.0580302
Albania	0.0577906
peninsula	0.0577776
Jezzine	0.0576438
Sofala	0.057577
"South Asia"	0.0575464
Gibraltar	0.0573914
"East Java"	0.0572719
"Persian Gulf"	0.0572403
Bogor	0.0566437
Bandung	0.0562724
Namibia	0.0562396
Phuket	0.0561827
"Guinea Bissau"	0.0561067
Brazzaville	0.0556929
Yogyakarta	0.0555479
Hakkari	0.0554376
Solomons	0.0552302
Monrovia	0.0552216
Tunceli	0.0551736
BASQUE	0.0551058
"Central America"	0.0549576
Kandahar	0.0549478
Guangdong	0.0545293
Honduras	0.0544118
Racak	0.0543884
Hubei	0.0542526
Palestine	0.0542292
Bissau	0.0541732
"Jaffna Peninsula"	0.0540822
"Central Mindanao"	0.0538664
Isfahan	0.0537699
Arusha	0.0536055
Lampung	0.0535185
Cordoba	0.0532351
Zamboanga	0.0531565
Talipao	0.0531513
homeland	0.053058
CHT	0.0529346
Ulster	0.0528523
"Eastern Slavonia"	0.0526308
"Syrian Golan Heights"	0.0525542
"Mount Lebanon"	0.0524764
"North Ossetia"	0.0523365
enclave	0.0522322
regency	0.0522277
"Democratic Congo"	0.0521816
Badme	0.0520988
Balochistan	0.0520204
))
(Acela (desc 1098.23) (sims
Amtrak	0.094338
Marta	0.0926851
Conrail	0.0915596
"Burlington Northern"	0.090236
Lionel	0.0877634
Stratus	0.0863131
"Long Island Rail Road"	0.0780942
V@@	0.0764765
videophone	0.0744995
"shuttle bus"	0.0744693
"steam engine"	0.0739255
catamaran	0.0730926
Eurotunnel	0.0721556
hovercraft	0.0717144
"Alta Vista"	0.0716217
turbo	0.0685512
double-decker	0.0676282
CSX	0.0653084
"Ford Focus"	0.06491
monorail	0.064805
ATHOME	0.0647075
"weather satellite"	0.0642692
Prius	0.064181
"three units"	0.063699
"fuel cell"	0.0612633
Hummer	0.0611111
Usenet	0.0602262
SDH	0.060192
Transamerica	0.0599585
Heathrow	0.0598671
V-@@	0.0590584
"Number @"	0.0590443
"Chevrolet Monte Carlo"	0.0588944
"express train"	0.0588874
CompuServe	0.0584189
"Go Network"	0.0573727
"power unit"	0.0571962
ISDN	0.057176
"up to four"	0.0567449
thy	0.0565079
trolley	0.0562592
impala	0.0561813
calibration	0.0560934
collider	0.0558216
"Air Lanka"	0.055809
"Playstation @"	0.055449
S@@	0.055448
"two to three"	0.0551995
Priceline	0.0551561
Opel	0.0548972
polytechnic	0.0547183
TiVo	0.0545962
"Shin Bet"	0.0545328
"Union Pacific"	0.0539707
"Xinhua News Agency Hong Kong Branch"	0.0538608
"Norfolk Southern"	0.0538555
"passenger ship"	0.0536898
"Sprint PCS"	0.0532695
"athletic facility"	0.0532406
Penske	0.0525784
GT	0.0523787
ICQ	0.0520708
Honeywell	0.051807
coaster	0.0515604
Passat	0.0515283
Tram	0.0513505
Travelocity	0.0512367
ADSL	0.0511634
Hausa	0.051136
Jetta	0.0507851
Thames	0.0507094
aero	0.0506902
RUC	0.0505702
motorboat	0.0499877
"another six"	0.0499372
"Pentium III"	0.0497476
"housing industry"	0.0495181
"Windows @@@@"	0.0493983
"data communication"	0.0493939
superhighway	0.0490464
"Potsdamer Platz"	0.0489201
TAZARA	0.0486181
asp	0.0483655
Bart	0.0480422
ECN	0.0478966
"Le Mans"	0.0478811
"weather forecasting"	0.047732
Stagecoach	0.0473315
DeVille	0.0473074
Mercedes-Benz	0.0472668
"wind power"	0.0472051
"domed stadium"	0.0470636
Amway	0.046939
Hendricks	0.046897
SAFY	0.0468777
crematorium	0.0467994
Canty	0.0467991
avenger	0.0464743
router	0.0463551
potty	0.0461785
Gallo	0.0461463
MSN	0.0461219
"cable car"	0.045962
"Gulf Air"	0.045936
NCEC	0.0459287
marque	0.0458827
"Wells Fargo"	0.0457666
"Waste Management"	0.0457559
Calvary	0.045719
bare-bones	0.0456728
Haier	0.0452534
Porsche	0.0451892
Airstream	0.0450367
"Joint Strike Fighter"	0.0450259
WINDSTAR	0.0449313
forwarding	0.044337
Cs	0.0439554
F-@	0.0439448
"particle accelerator"	0.0438779
catechism	0.0438326
Tait	0.0438299
"road runner"	0.0434031
WAP	0.0433941
"public transport"	0.0433453
turboprop	0.0433102
Google	0.043302
Infiniti	0.0432222
"gas plant"	0.0432063
lauder	0.0431788
classifieds	0.0431319
"quarter horse"	0.0429646
subcompact	0.0429429
Learjet	0.0428174
"Office @@@@"	0.0428039
m.p.h	0.0427357
"ABM Treaty"	0.0427061
steamboat	0.0427053
"Microsoft Network"	0.0426705
Miata	0.0426625
"Canadian Alliance"	0.042521
"Iron Giant"	0.0423765
Centerfold	0.0423264
Alero	0.0423051
concierge	0.0422449
Athlon	0.0422393
"Pratt &AMP; Whitney"	0.0422068
"Parent Trap"	0.0421521
"double entendre"	0.0420199
PRIMESTAR	0.0419349
"two units"	0.0419081
balloonist	0.0418338
"Dominique Wilkins"	0.0417444
Adelphia	0.0417322
Systems	0.0416869
sleigh	0.0415426
Os	0.041507
PBSI	0.0414512
"red line"	0.0414481
"Busch Grand National"	0.0414422
"pork barrel"	0.0412921
DV	0.0412146
Maxima	0.0410783
EarthLink	0.0410512
"Miller Park"	0.0410164
"electric motor"	0.0409715
"Mandalay Bay"	0.0408742
Beckwith	0.0408553
"matinee idol"	0.0408074
Franco-German	0.0407317
no-frills	0.040708
Kemper	0.0405542
Smirnov	0.0405331
"bus route"	0.0405225
Buick	0.0404067
Metreon	0.0404028
"Rolls Royce"	0.0403652
snap.com	0.0403273
Roadrunner	0.0402914
CDMA	0.0402516
supercomputer	0.0401776
Expedia	0.0400076
))
(Acer (desc 2027.65) (sims
"Packard Bell"	0.212846
AST	0.209394
HP	0.1777
"Compaq Computer"	0.169331
Casio	0.158055
Hewlett-Packard	0.157465
Toshiba	0.154111
"Digital Equipment"	0.149591
"Dell Computer"	0.148919
Fujitsu	0.144009
Compaq	0.141643
Micron	0.140653
"Sun Microsystems"	0.140356
"Hewlett Packard"	0.127533
Samsung	0.125669
Dell	0.124139
IBM	0.123703
"Applied Materials"	0.122681
"Silicon Graphics"	0.117076
Intergraph	0.115675
"Texas Instruments"	0.112221
Panasonic	0.11123
NEC	0.106667
Hitachi	0.106133
Lucent	0.102563
"Bell South"	0.102476
Intel	0.102304
"Hewlett-Packard Co."	0.0993409
Philips	0.096619
Matsushita	0.0959795
EMC	0.0915326
oracle	0.0910168
PictureTel	0.0900456
"Lucent Technologies"	0.089359
Epson	0.0880252
"Ford Motor"	0.0871005
Cisco	0.0867079
Kodak	0.0840646
SGI	0.0838823
Motorola	0.0831165
"Micron Technology"	0.0807436
"Cisco Systems"	0.0804738
Nokia	0.0792983
Sony	0.0779829
RealNetworks	0.077875
Ericsson	0.0761499
"IBM Corp."	0.0754894
"United Parcel Service"	0.0746107
Seagate	0.0744898
Iomega	0.0728828
"National Semiconductor"	0.0725712
Nortel	0.0724976
"Legend Group"	0.0723687
Sibneft	0.0713907
"Nortel Networks"	0.0710691
"Intel Corp."	0.0710411
emachines	0.0707988
"Apple Computer"	0.0706645
Alcatel	0.0702305
"RJR Nabisco"	0.0689371
Unisys	0.0683984
Novell	0.0675362
"Computer Associates"	0.0659439
AutoNation	0.064922
Siemens	0.0643341
Softbank	0.0640852
Symantec	0.0636596
Intuit	0.0635389
"Eastman Kodak"	0.0633938
Xerox	0.0631283
CMGI	0.0630955
Ge	0.0615172
NTT	0.0613431
"Sun Microsystems Inc."	0.0612201
Sanyo	0.0606259
YankeeNets	0.0603582
Powerbook	0.0588846
Nintendo	0.0582315
"Symantec Corp."	0.0573194
MACROMEDIA	0.056888
"Compaq Computer Corp."	0.0568256
"Johnson &AMP; Johnson"	0.0567426
GEC	0.0564005
"General Electric"	0.0563114
UAM	0.0560493
Frito-Lay	0.0560397
AMD	0.0560032
"Dell Computer Corp."	0.0557687
Autodesk	0.0555424
"American Express"	0.0553399
"Real Networks"	0.0551278
"Eli Lilly"	0.0545766
"Radio Shack"	0.0545618
"Advanced Micro Devices"	0.0541425
"United Technologies"	0.0540016
Pepsico	0.0534244
GTE	0.0531437
Yukos	0.0529647
"MCI WorldCom"	0.052546
"Enron Corp."	0.0525265
Informix	0.0520294
Georgia-Pacific	0.0517252
"Bell Atlantic"	0.0514857
VW	0.0514266
"Motorola Inc."	0.0510473
Schering	0.0510181
Telefonica	0.0506701
"Hughes Electronics Corp."	0.0503432
"Boeing company"	0.0502608
JVC	0.0500836
Volkswagen	0.0493966
Qualcomm	0.0493443
"Sara Lee"	0.0487362
"Philip Morris"	0.0484526
Clorox	0.0482025
Sidanko	0.0480864
"Volkswagen AG"	0.048069
IAI	0.0475778
Scientific-Atlanta	0.0474948
Daimler-Benz	0.0468466
Priceline	0.0467967
"Lei Feng"	0.0461204
Raytheon	0.0460139
Mitsubishi	0.0458631
"Nippon Telegraph"	0.0458322
"Ford Motor Co."	0.0457905
Fiat	0.0455992
WorldCom	0.0451139
"GE Capital"	0.044773
"Liberty Media"	0.044467
iBook	0.0443363
"Wal-Mart Stores"	0.0442987
"Coca Cola"	0.0442197
Lotus	0.0441674
Handspring	0.0440944
Honeywell	0.0440573
REPSOL	0.0440031
Cargill	0.0439568
GPU	0.0436324
Unicom	0.0435362
WELLPOINT	0.0435008
Gillette	0.0434293
Checkfree	0.0433061
Allstate	0.0432574
UTC	0.0432097
"Hughes Electronics"	0.0431703
ENTERGY	0.042994
GoTo.com	0.0428443
Kellogg	0.0427456
"Daewoo Group"	0.0426947
DHL	0.04248
Avis	0.042325
RCA	0.04212
"International Paper"	0.0420677
"Walt Disney"	0.0419936
Daewoo	0.0419719
Pillsbury	0.0418784
"Diamond Multimedia"	0.0418469
"Gillette Co."	0.0416671
"U.S. Postal Service"	0.0415006
MindSpring	0.041495
Echostar	0.0414803
Northpoint	0.0413907
Citibank	0.0413051
"Procter &AMP; Gamble Co."	0.0411123
CD-R	0.0410537
"Hong Kong Telecom"	0.0409881
"Hyundai Group"	0.0409406
"EMC Corp."	0.0409003
"Liquid Audio"	0.0408947
Proctor	0.0405258
"Norfolk Southern"	0.0405078
CITIC	0.040469
"Consolidated Edison"	0.0404634
Webvan	0.0404407
Bertelsmann	0.0402367
Sinopec	0.0402343
McCaw	0.0402055
ICI	0.0401439
"R.J Reynolds Tobacco Co."	0.0401376
KEDO	0.040047
))
(acetaminophen (desc 1408.11) (sims
Advil	0.230327
ibuprofen	0.225196
Tylenol	0.206952
antihistamine	0.184355
aspirin	0.163616
antacid	0.138709
painkiller	0.128264
"St. John's wort"	0.125746
"Russ Springer"	0.117065
Zoloft	0.115428
laxative	0.101851
"Alan Embree"	0.101148
anesthetic	0.0995083
interferon	0.0975925
"Donne Wall"	0.0906031
nevirapine	0.090471
"Pat Mahomes"	0.0866418
capsaicin	0.0834057
morphine	0.0831463
"Chuck McElroy"	0.0822554
"Rick White"	0.0815686
"vitamin E"	0.081401
MDMA	0.0810527
"Jason Christiansen"	0.0805524
melatonin	0.0804447
vitamin	0.0775689
"sleeping pill"	0.0773018
"vitamin C"	0.0761906
"Paul Spoljaric"	0.0748049
sedative	0.0737542
"Rich Rodriguez"	0.0735198
echinacea	0.0724635
Celebrex	0.0711305
"Rich Garces"	0.0711032
"Danny Graves"	0.070609
"Todd Jones"	0.0704205
"Mike Magnante"	0.070071
"Jason Grimsley"	0.0700512
"fish oil"	0.0695115
"DOUG JONES"	0.0683282
"B vitamin"	0.068223
"Mike Holtz"	0.0681781
stimulant	0.0678558
"Rheal Cormier"	0.0675202
Valium	0.067052
Prozac	0.0669012
"Jose Paniagua"	0.0665952
"Scott Williamson"	0.0665679
"mental anguish"	0.0665591
"Danny Patterson"	0.0664684
"Doug Henry"	0.0664189
tranquilizer	0.066171
"Greg Swindell"	0.0658215
"Darren Holmes"	0.065582
"Kevin McGlinchy"	0.0654045
"Jeff Nelson"	0.0651237
fluoride	0.0650002
"Matt Herges"	0.0640673
hGH	0.0639646
"Al Levine"	0.0638469
"Mark Guthrie"	0.063845
"Mark Petkovsek"	0.0633896
"Jim Corsi"	0.0632494
"Ricky Bottalico"	0.0622267
"Jesse Orosco"	0.0621684
"Scott Sullivan"	0.0617052
caffeine	0.0612518
mifepristone	0.0611943
"Turk Wendell"	0.0607948
LSD	0.0603035
"Bryce Florie"	0.0602715
"growth hormone"	0.0600893
olestra	0.0599652
Prilosec	0.0598018
"Jay Powell"	0.0597341
adenovirus	0.0593625
Mahomes	0.0591232
"Mike Fetters"	0.0588208
Phentermine	0.0587737
"Rudy Seanez"	0.0586672
"Terry Adams"	0.0586124
"Shigetoshi Hasegawa"	0.0584943
Avonex	0.0583734
carotene	0.0582834
"wonder drug"	0.058257
antioxidant	0.0580925
Relenza	0.0579403
"Graeme Lloyd"	0.057924
sulfate	0.0575852
"Allen Watson"	0.0572215
"Jamie Arnold"	0.0571118
varietals	0.0570197
preservative	0.0567538
"Tim Crabtree"	0.0566817
"Ginkgo biloba"	0.0566476
"hard drug"	0.0565636
"folic acid"	0.0561721
"Dan Miceli"	0.0558662
"Mike Stanton"	0.0557428
LIPITOR	0.0556513
Claritin	0.0555647
"Ramiro Mendoza"	0.0555498
"John Wasdin"	0.0554965
"Doug Davis"	0.0552174
"Gregg Olson"	0.0549626
AZT	0.0549334
opiate	0.0549188
"Dennis Cook"	0.0548872
lycopene	0.054748
amphetamine	0.0546527
androstenedione	0.0543472
Deet	0.0542272
estrogen	0.0542003
vomiting	0.0540832
"John Hudek"	0.0538571
GHB	0.0537818
Ritalin	0.053565
"Byung-Hyun Kim"	0.0535512
"Greg McMichael"	0.0533791
"Scott Radinsky"	0.0530542
creatine	0.052955
"Pedro Borbon"	0.0528531
"fatty acid"	0.0528503
"Mike Williams"	0.0528499
nicotine	0.0526177
glucose	0.0526147
tamoxifen	0.0525469
shampoo	0.0525147
leptin	0.0517674
"Jeff Brantley"	0.0508459
Vioxx	0.050786
thinner	0.0507379
Paxil	0.0506818
"baking soda"	0.0506598
insulin	0.0506463
"Arthur Rhodes"	0.0504833
psychotherapy	0.0503112
"Eric Gunderson"	0.0495154
venom	0.0494126
"Ron Villone"	0.0490917
"Onan Masaoka"	0.0489827
"memory loss"	0.0487371
inhibitor	0.048734
"Derek Lowe"	0.048721
penicillin	0.048637
"Alan Mills"	0.0486273
"Mike Venafro"	0.0485331
insecticide	0.0480189
perspiration	0.0476303
"Rod Beck"	0.0476186
anti-inflammatory	0.0474151
"sour grapes"	0.0472481
chromium	0.0472415
"vitamin A"	0.0472023
"Kazuhiro Sasaki"	0.047109
"Billy Taylor"	0.0470055
"Frankie Rodriguez"	0.0469045
"Roberto Hernandez"	0.0466776
Calcium	0.0464589
ephedrine	0.0459759
Botox	0.0458681
"Heathcliff Slocumb"	0.0458289
earplugs	0.0457947
drowsiness	0.0454538
"Francisco Cordero"	0.0453841
"Mark Leiter"	0.0453812
testosterone	0.0452196
transnationals	0.0449867
microorganism	0.044821
telomerase	0.0445886
"liquefied petroleum gas"	0.0445271
sodium	0.0443456
"Mac Suzuki"	0.0443403
listeria	0.0439497
pseudoephedrine	0.0438901
cola	0.0437328
"vitamin D"	0.0432064
"prescription medicine"	0.0431912
"Mike Remlinger"	0.0431593
CFCs	0.0431289
peptide	0.0430344
"Dennis Martinez"	0.0429131
sweetener	0.0428581
electrolyte	0.0427253
contraband	0.0422617
"Bob Wickman"	0.042117
heartburn	0.0419417
cryptosporidium	0.0417906
tinsel	0.0417101
diphtheria	0.0416671
"Billy Wagner"	0.0413399
"Mel Rojas"	0.0412481
theocracy	0.0411185
"pet food"	0.0411122
methadone	0.041055
"heart valve"	0.040889
"Brian Bohanon"	0.0408472
"steam engine"	0.0407957
"Vladimir Nunez"	0.0405776
"Brett Hinchliffe"	0.0405008
))
(acetone (desc 1159.13) (sims
ammonia	0.143683
"sulfuric acid"	0.124303
"nitric acid"	0.11411
POTASH	0.110321
benzene	0.097009
"methyl bromide"	0.0825639
ethylene	0.0809119
sulfate	0.0792113
phosphate	0.0753811
chlorine	0.0716059
fungicide	0.0702498
kerosene	0.0690684
"synthetic fiber"	0.0685931
chloride	0.0675577
"liquefied petroleum gas"	0.0652474
ethanol	0.0640993
solvent	0.0629486
"rocket fuel"	0.0618791
"mustard gas"	0.0614771
malathion	0.060927
urea	0.0602213
propane	0.0600114
LNG	0.0598405
turpentine	0.0588804
oxide	0.0581759
"motor oil"	0.0555427
formaldehyde	0.0537222
phosphorus	0.0534849
sulfur	0.0526639
"liquefied natural gas"	0.0525252
"citric acid"	0.0514983
"lubricating oil"	0.0513622
hydrocarbon	0.0510037
nitrate	0.050884
hydrogen	0.0506817
propellant	0.0495994
"nitrous oxide"	0.0495542
"food grain"	0.0495354
"essential oil"	0.0490986
"organic compound"	0.0486189
"steel wool"	0.047972
refrigerant	0.0479165
defoliant	0.047732
machine-building	0.0477079
Citron	0.0470117
polymer	0.04689
olestra	0.046192
"cane sugar"	0.0460114
Fiedler	0.0452027
contaminant	0.0450213
Gypsum	0.0446764
herbicide	0.0444367
DDT	0.0442439
PCBs	0.0438409
shingles	0.0429248
Moroni	0.0427556
chromium	0.0426264
soot	0.0424355
"fire hose"	0.0422047
"carbon monoxide"	0.0420586
opiate	0.0419958
disinfectant	0.0419005
Sarin	0.0418725
Nivel	0.0413495
"diesel oil"	0.0412794
blackbird	0.0411583
"nitrogen oxide"	0.040835
napalm	0.0407609
methanol	0.0406682
Zonolite	0.0404505
endoscope	0.0403089
))
(ACFTU (desc 1404.18) (sims
CPAFFC	0.26977
ACWF	0.248963
CCPIT	0.210106
CPPCC	0.194651
CCF	0.188053
"All-China Youth Federation"	0.187306
ARATS	0.180969
CIRC	0.180139
UNIP	0.178109
"CPPCC National Committee"	0.174006
CMC	0.169886
"Chinese NPC"	0.160098
SPC	0.1575
"All-China Journalists Association"	0.156282
"All-China Federation"	0.149439
"Chinese Olympic Committee"	0.148414
ICA	0.139525
CSRC	0.138564
"China Federation"	0.136392
HKFA	0.135309
CITIC	0.134232
CPC	0.133794
"Association for Friendship"	0.132471
CNOOC	0.131595
"China Council"	0.131133
CPV	0.128809
MMD	0.124888
NPC	0.124849
"NPC Standing Committee"	0.124113
"Central Military Commission"	0.122894
OCA	0.117732
"Beijing Municipal Government"	0.116585
"Chinese government"	0.11528
"National Committee"	0.115073
"Congress Standing Committee"	0.114372
"International Department"	0.114008
MPLA	0.113555
"CPC Central Commission for Discipline Inspection"	0.113542
NRM	0.113204
KONI	0.112949
Laban	0.110614
CAA	0.109705
"Tang Jiaxuan"	0.109364
"Foreign Affairs Committee"	0.109189
AmCham	0.108595
"Organizing Committee"	0.108514
"Fu Quanyou"	0.10707
"Chinese Communist Party"	0.10699
"Russian Communist Party"	0.106035
"China Association for Science"	0.10582
"Public Security Ministry"	0.10566
"Wu Yi"	0.104306
"Ford Motor Company"	0.102691
IPU	0.102404
"National Defense Commission"	0.102037
CNTA	0.100844
"Russian Defense Ministry"	0.100791
BSA	0.100561
"Central Commission for Discipline Inspection"	0.100394
ICBC	0.0989293
"U.S. Soccer Federation"	0.0987498
"Chinese Foreign Ministry"	0.098437
CAS	0.0983712
MII	0.0970911
KPA	0.0964218
CCM	0.0961374
"Ministry of Supervision"	0.0958736
"Cambodian People's Party"	0.0957937
"Hong Kong Federation"	0.0957334
DAP	0.0954388
SPDC	0.0950786
Histadrut	0.0939709
"Congress (NPC) Standing Committee"	0.0938449
CASS	0.0935379
WEF	0.0930656
"Party School"	0.0926756
SDPC	0.09162
"China National Tourism Administration"	0.0913359
"Allied Pilots Association"	0.0911362
"Pacific Exchange"	0.090978
NARAL	0.090799
"Chi Haotian"	0.0903423
FSA	0.090197
"Central Committee"	0.0900138
CDB	0.0899305
SFA	0.0898237
CCB	0.089775
"State Environmental Protection Administration"	0.0897565
TDC	0.0896715
"trade union"	0.0892046
SEF	0.0887271
"Qian Qichen"	0.0885602
CNPC	0.0883561
"South African Communist Party"	0.0869796
CSA	0.0866581
SPS	0.0866153
HCFA	0.0863848
"Association for Relations Across"	0.0859436
"Ministry of Civil Affairs"	0.0858625
PBSI	0.0858519
PICC	0.0853265
"Hu Jintao"	0.0853102
"Socialist Party"	0.0851465
"Education Ministry"	0.0850424
"Information Ministry"	0.0846182
"EU Commission"	0.0845463
"General Committee"	0.0844229
"Vietnamese Communist Party"	0.0843351
"Revolutionary Command Council"	0.0841586
"Commerce and Industry"	0.0840578
NLD	0.0840447
USTA	0.08363
CSC	0.0834798
NDP	0.0833052
"China Society"	0.0831028
"Supreme Soviet"	0.0829065
Yukos	0.0826772
SPP	0.0826238
"Political Consultative Conference"	0.0824166
COSCO	0.0822845
"State Peace and Development Council"	0.0822103
"Shanghai Municipal Government"	0.0819552
DEP	0.0818408
"Transport Ministry"	0.0812394
IEC	0.0801967
SDP	0.0798432
"Communist Youth League of China"	0.0798029
CEC	0.0790436
CSE	0.0789338
"standing committee"	0.0780772
GEF	0.0779201
"Port Authority"	0.0776979
"Ministry of Justice"	0.0774341
"China National Petroleum Corporation"	0.0774012
"British Foreign Office"	0.0773792
UNIDO	0.0771848
"Red Crescent"	0.0770655
CPP	0.0770245
"Ninth NPC"	0.077014
"State Law and Order Restoration Council"	0.0768629
EBRD	0.0768011
"National Action"	0.0765281
UTC	0.0763696
"Israeli Foreign Ministry"	0.0762117
SETC	0.0760368
"National Party Congress"	0.0759714
"State Planning Commission"	0.0754813
ICRC	0.0752719
HKTA	0.0751634
Fu	0.0751412
MSF	0.0751103
SDLP	0.0751084
DFB	0.0748066
PBOC	0.0745233
CFA	0.0743806
"USA Basketball"	0.0743383
NRP	0.0742374
ADL	0.0741014
FPL	0.0740023
"Supreme People"	0.0737299
Vice-Premier	0.0736908
"Xinhua News Agency"	0.0734391
"Janata Dal"	0.0733038
"State Development Planning Commission"	0.0732409
"Republican House"	0.073021
MOFTEC	0.0730169
CAAC	0.0729631
ATC	0.072961
ITF	0.0729094
PLA	0.0728502
MCC	0.0727253
Renamo	0.0723319
UDM	0.0721615
UNFPA	0.0721568
"Ninth National Committee"	0.07211
"U.S. Chamber of Commerce"	0.0720915
"Palestine Liberation Organization"	0.072085
Starwood	0.0720176
"CBS Sports"	0.07183
SCLC	0.0716512
F.A	0.0715249
"Li Peng"	0.0714087
UUP	0.071297
"National Council of Churches"	0.0712829
Massport	0.0711196
BOC	0.0710403
"Housing Authority"	0.0710051
CUF	0.0708392
"Ninth CPPCC National Committee"	0.0707955
"Thai Foreign Ministry"	0.0707013
"National Council of La Raza"	0.0706162
"Ministry of Railways"	0.0705125
"Shi Guangsheng"	0.0704911
"municipal government"	0.0704241
NSA	0.0703308
"Australian Olympic Committee"	0.0701539
ITC	0.0698716
IAI	0.0698634
"Conservative Party"	0.0698486
Eximbank	0.0698401
))
(ache (desc 9490.66) (sims
cramp	0.189712
nausea	0.184819
stomachache	0.180887
dizziness	0.180481
"skin rash"	0.180116
shortness	0.177124
vomiting	0.174109
"sore throat"	0.167862
stiffness	0.160671
headache	0.154165
pain	0.149005
"chest pain"	0.146694
soreness	0.145634
palpitation	0.145548
diarrhea	0.143159
constipation	0.13677
cough	0.136085
"memory loss"	0.133739
fatigue	0.129704
fever	0.126243
insomnia	0.124661
"back pain"	0.12449
"upset stomach"	0.124126
numbness	0.122187
ailment	0.120458
lethargy	0.120233
coughing	0.120038
drowsiness	0.119914
spasm	0.118928
swelling	0.11881
arthritis	0.115451
indigestion	0.111308
migraine	0.106541
tiredness	0.102033
irritability	0.101725
bronchitis	0.101131
symptom	0.0996331
discomfort	0.0979269
rash	0.0968583
irritation	0.0965939
chill	0.0965254
convulsion	0.0946584
dehydration	0.0940207
heartburn	0.0928546
tightness	0.0922817
sprain	0.0917521
sweating	0.0889962
inflammation	0.0886141
abscess	0.0883209
diarrhoea	0.0874367
nosebleed	0.0861204
"high blood pressure"	0.0852039
heartache	0.0843487
bruise	0.081319
allergy	0.0812866
osteoarthritis	0.0806102
angina	0.080587
"hot flash"	0.0801871
paralysis	0.0793104
"asthma attack"	0.078593
twinge	0.0773959
jaundice	0.0762151
Exhaustion	0.0760508
pang	0.0759029
malaise	0.0743156
"liquidity problem"	0.0741507
nervousness	0.0739736
loneliness	0.0736504
atrophy	0.0735569
"skin disease"	0.0734253
sore	0.0732985
chills	0.0732818
anxiety	0.0728353
"mental anguish"	0.0727709
flu	0.0723072
asthma	0.0722927
blister	0.0720154
fracture	0.0717814
infection	0.0713079
weakness	0.0713041
"blood pressure"	0.0706316
muscle	0.0706292
anemia	0.0702577
sadness	0.0702423
hangover	0.0700624
tendinitis	0.070021
trauma	0.0699164
malady	0.0691491
Depression	0.0689064
"panic attack"	0.0682029
breathing	0.0677917
itch	0.0648659
disorder	0.0647113
ulcer	0.0646488
disfigurement	0.0643532
congestion	0.0641904
tremor	0.0639589
wasting	0.0626882
"blood clot"	0.0625677
whiplash	0.0622962
hypertension	0.0620089
pneumonia	0.0619245
agony	0.0618827
anguish	0.0616489
"morning sickness"	0.0614739
"rheumatoid arthritis"	0.0613033
confusion	0.0602516
hiccup	0.0601887
illness	0.0597566
abrasion	0.0596721
anorexia	0.0594942
Dysentery	0.0594397
hunger	0.0591173
contraction	0.0589966
"emotional distress"	0.0589902
"respiratory disease"	0.0588634
"inferiority complex"	0.05886
hernia	0.0587208
"cash crunch"	0.058384
"health problem"	0.0581147
"hay fever"	0.0579451
side-effects	0.0579244
tenderness	0.0579086
restlessness	0.0576196
lupus	0.0572266
contusion	0.0570488
"wear and tear"	0.0568729
boredom	0.0565177
abnormality	0.056436
delirium	0.0562062
bitterness	0.0556118
misery	0.0556109
disorientation	0.0555201
Distress	0.0553857
frustration	0.0550272
grief	0.0547425
Stinger	0.0546186
"mental disorder"	0.054563
nerve	0.0540757
inconvenience	0.0537827
hallucination	0.0537536
stitch	0.053423
impairment	0.0533538
"neurological disease"	0.0531922
disability	0.0530955
hemorrhage	0.0530261
heartbreak	0.0529906
letdown	0.0527689
acne	0.0526514
deformity	0.0526061
lesion	0.0525823
indignity	0.0523132
incision	0.0518058
dryness	0.0516412
hassle	0.0515711
scrape	0.0515628
syndrome	0.0514643
emotion	0.051308
emphysema	0.0511279
"anxiety disorder"	0.0510998
dysfunction	0.0508912
sensation	0.0508706
complication	0.0507791
defect	0.0506404
craving	0.0502668
scar	0.0501693
aneurysm	0.0501306
heatwave	0.0500855
sorrow	0.0498348
twitch	0.0496816
dislocation	0.0492653
forgetfulness	0.0488665
Osteoporosis	0.048792
hardship	0.0486265
"side effect"	0.0484507
aftereffect	0.0483478
apprehension	0.0483114
blockage	0.0481749
knot	0.0481545
epiphany	0.0481502
laceration	0.0479235
"heart condition"	0.0478149
insecurity	0.0475821
"multiple sclerosis"	0.0475712
rigidity	0.047503
scarcity	0.0475
stomach	0.0473746
affliction	0.0473512
tendon	0.0472383
Gash	0.0470533
gout	0.0469514
gripe	0.0469285
stigma	0.046848
disappointment	0.0468229
embarrassment	0.046657
epilepsy	0.0466405
glaucoma	0.0463685
"heart disease"	0.0463112
"bullet hole"	0.0462893
lump	0.0462766
))
(achievement (desc 111540) (sims
accomplishment	0.234499
progress	0.201732
success	0.188598
development	0.154917
performance	0.136118
experience	0.133649
improvement	0.128918
contribution	0.127175
skill	0.124156
effort	0.124051
ability	0.120115
breakthrough	0.120068
role	0.119166
prosperity	0.11841
advancement	0.117998
work	0.117394
milestone	0.11622
quality	0.115222
result	0.115113
growth	0.115078
cooperation	0.115066
innovation	0.11466
reform	0.113638
excellence	0.112588
feat	0.112209
talent	0.111893
stability	0.110287
change	0.108999
opportunity	0.108296
importance	0.107577
outcome	0.106338
policy	0.105322
strength	0.105056
commitment	0.103915
objective	0.102692
priority	0.101478
vision	0.10141
participation	0.100826
"hard work"	0.100475
triumph	0.0992058
trend	0.0987959
history	0.0979575
courage	0.0974973
recovery	0.0974872
task	0.0974414
interest	0.0972409
diversity	0.0971519
determination	0.0968383
challenge	0.0965495
potential	0.0957169
initiative	0.0947834
efficiency	0.0934433
discovery	0.0932824
legacy	0.0931693
expertise	0.0930155
difficulty	0.0928158
value	0.0924416
event	0.0921487
step	0.0919919
status	0.0917272
aspect	0.0912097
education	0.091173
situation	0.0911391
prospect	0.0907952
Sacrifice	0.0902268
fact	0.0898207
knowledge	0.0897799
spirit	0.0897429
concept	0.0896099
dedication	0.0895662
research	0.0895211
strategy	0.0894497
problem	0.0894477
technology	0.0888638
life	0.088583
failure	0.0882436
relation	0.0881887
Creativity	0.0881026
goal	0.0880436
endeavor	0.0878678
support	0.0877145
attainment	0.0876818
culture	0.0876278
project	0.0875134
bravery	0.087213
significance	0.0869422
decision	0.0864101
environment	0.0862523
transformation	0.0861683
advance	0.0858006
Invention	0.0857731
impact	0.0857207
finding	0.0856052
capability	0.0855746
leadership	0.0853294
measure	0.0852827
opening-up	0.0852229
popularity	0.0848739
idea	0.0847788
realization	0.0846632
victory	0.0845243
willingness	0.0844506
competitiveness	0.0843464
friendship	0.0843254
behavior	0.0842972
program	0.0842444
investment	0.084111
economy	0.0839829
process	0.0838863
heritage	0.0838038
unity	0.0838033
confidence	0.0837351
activity	0.0836097
undertaking	0.0835022
characteristic	0.0834675
modernization	0.0833362
Implementation	0.0832983
"growth rate"	0.083237
future	0.0832027
responsibility	0.0827435
issue	0.0827328
understanding	0.0826682
peace	0.082337
career	0.0822079
expansion	0.0818759
ethic	0.0817756
attitude	0.081469
influence	0.0814434
promise	0.0814145
benefit	0.0813166
ambition	0.0812858
wealth	0.0812708
"turning point"	0.0812663
relationship	0.0812271
integration	0.0809723
perseverance	0.0808518
need	0.0805997
credibility	0.0805919
reputation	0.0804043
tradition	0.080385
"test score"	0.0802971
record	0.0801823
standard	0.0798826
health	0.0798807
effectiveness	0.0794605
aspiration	0.0793056
gain	0.0792926
principle	0.0791738
personality	0.0791058
integrity	0.0790168
creation	0.0785834
science	0.078004
deed	0.0777502
resource	0.0776525
return	0.0773641
involvement	0.0772068
prowess	0.077029
tragedy	0.0770082
approach	0.0768895
stride	0.076724
competence	0.0766695
protection	0.0765206
action	0.0765103
"success story"	0.0764949
productivity	0.0763373
professionalism	0.0761661
fundamental	0.0761624
virtue	0.0760456
wisdom	0.0758941
shortcoming	0.0756728
exchange	0.0756451
Promotion	0.0756436
art	0.0754775
desire	0.0754614
democracy	0.0753866
vitality	0.0753067
"foreign policy"	0.0752988
recognition	0.0752838
study	0.075142
establishment	0.0750638
agenda	0.0747403
freedom	0.0746968
ideal	0.074587
factor	0.0744775
example	0.0744375
persistence	0.0744018
job	0.0742357
tie	0.0741354
awareness	0.0741311
momentum	0.0740874
agreement	0.0740309
background	0.0740037
advantage	0.0739511
plan	0.0739094
degree	0.073882
training	0.0737607
greatness	0.0736328
stance	0.0735948
number	0.0734646
lesson	0.0732817
))
(achiever (desc 2610.75) (sims
"chess player"	0.112202
illiterate	0.0838417
overachiever	0.0773897
"jazz musician"	0.0735775
marathoner	0.0729883
schoolers	0.0729727
underachiever	0.0725682
standouts	0.0712016
thinker	0.0710585
"risk taker"	0.0695672
mover	0.068168
"prima donna"	0.0674669
student-athletes	0.06693
singer-songwriters	0.0668053
businesswomen	0.0654339
instrumentalist	0.0651365
"volleyball player"	0.0646488
"income bracket"	0.0642349
"tennis player"	0.0640435
"television star"	0.0629298
churchgoer	0.0627427
Iowan	0.062153
QBs	0.0621405
"heavy hitter"	0.0620012
freshmen	0.0615997
spender	0.061365
individualist	0.061297
enlistee	0.0609221
goal-scorer	0.0603472
goalscorer	0.0599693
well-respected	0.0599531
"faculty member"	0.0594859
transient	0.0594636
Litigator	0.0592954
vaulter	0.0589103
gung-ho	0.0585493
Londoner	0.0584693
idealist	0.0580935
multimillionaires	0.0575405
contemporaries	0.057494
hurdler	0.0573623
"wage earner"	0.0571511
goaltenders	0.0571281
decision-makers	0.0570672
"civil rights leader"	0.0567895
racer	0.0565175
"enlisted man"	0.0564604
educationist	0.0564259
vote-getters	0.0564227
Atlantans	0.0563875
"school boy"	0.0561826
grad	0.0561548
kindergartners	0.0559966
doer	0.0556626
skier	0.0556091
birthrate	0.0555045
songwriter	0.0554461
"football player"	0.0554365
Sportsman	0.0553883
"big leaguer"	0.0552496
gymnast	0.0552127
"population density"	0.0550289
Alumni	0.0550012
giver	0.0549242
returners	0.0548316
renter	0.0547038
"foot soldier"	0.0546116
"elected official"	0.0545272
Chinese-Indonesians	0.0545117
entertainer	0.0544515
techs	0.0544112
twentysomethings	0.0542261
delinquent	0.0541815
"hockey player"	0.0541557
ballplayer	0.0538524
outcast	0.0538298
metropolises	0.053767
picker	0.0537223
dropout	0.0534108
marketer	0.0533921
"public servant"	0.0533057
"success story"	0.0533021
Ghanaians	0.0532337
superheroes	0.0531425
"Orthodox Jews"	0.0531218
"toy retailer"	0.0529997
talker	0.0528873
happiest	0.052709
"Sunni Muslims"	0.0525908
"business executive"	0.0524743
finds	0.0524252
"New York Republicans"	0.0523855
drinker	0.052344
philosopher	0.0522569
"good person"	0.0521864
"basketball player"	0.0521309
overweight	0.0519814
Chicagoans	0.0519122
"turnover rate"	0.0518781
craftsmen	0.0518408
schemer	0.0517302
Bostonians	0.0517154
skater	0.051673
philanthropist	0.0516618
has-been	0.051349
Hindu	0.0513359
"young person"	0.0512453
Quebecers	0.0512371
Olympian	0.0511936
"foreign service officer"	0.0511441
"North Carolinian"	0.0511407
"con artist"	0.0510861
cipher	0.0510159
rappers	0.0510152
"life form"	0.0508743
impostor	0.0507561
rebounder	0.0506364
Trailblazer	0.0506254
sixth-graders	0.0504602
technologist	0.0504392
jurist	0.05039
"hard worker"	0.0502935
enema	0.0502401
"factory worker"	0.0502209
"fellow traveler"	0.0501455
policymaker	0.0501368
exerciser	0.0500904
officeholder	0.0499741
misfit	0.0498033
tackler	0.0497944
"news event"	0.0497584
"home buyer"	0.0497435
Arab-Americans	0.049667
statesmen	0.049657
footballer	0.0496184
toymaker	0.0493737
"school girl"	0.0493635
"Young Turk"	0.0493383
Chinese-Americans	0.0493217
Aborigine	0.0492932
"good guy"	0.0492614
raconteur	0.049226
"letter writer"	0.0492075
careerist	0.0491395
ingenue	0.0490109
"hot stock"	0.0488968
grandmaster	0.0488635
"social scientist"	0.0487889
right-winger	0.0487233
bystander	0.048712
trainee	0.0486358
"farm worker"	0.0486226
"Southern Democrats"	0.0485022
brat	0.0484858
grosser	0.0484841
"retail chain"	0.0484776
cartoonist	0.0482981
old-timer	0.0482578
sleuth	0.0482324
choreographer	0.0482266
ideologue	0.0481228
capitalist	0.048122
innovator	0.048071
"New Democrat"	0.0480406
HIV-positive	0.0480308
temp	0.04793
plutocrat	0.047926
cricketer	0.047839
wont	0.0478384
reservist	0.047731
"auto maker"	0.0477155
scum	0.0476903
apprentice	0.0476729
"young actress"	0.0475508
luminary	0.0475027
loner	0.0472832
wrestler	0.047256
learner	0.0472549
lemur	0.0472483
part-timer	0.0472192
orator	0.0471736
urbanites	0.0471065
sprinter	0.0470782
"little leaguer"	0.0470689
Ohioan	0.046809
politico	0.0467996
"newspaper publisher"	0.0467849
Mormon	0.0467697
"hired gun"	0.0467201
snowmobilers	0.0467013
disciple	0.0466723
"important person"	0.0465797
brawler	0.0465072
Gibbon	0.0463502
alum	0.0462978
closers	0.0462078
moviegoer	0.0461945
admirer	0.0461189
climber	0.0460829
"medical student"	0.0459165
))
(Achilles (desc 4267.47) (sims
"achilles tendon"	0.307303
quadriceps	0.257753
triceps	0.233764
ACL	0.210211
flexor	0.187513
tendon	0.18692
groin	0.167765
"rib cage"	0.167387
hamstring	0.15708
biceps	0.149159
meniscus	0.139292
cuff	0.13253
ligament	0.128979
labrum	0.121691
elbow	0.115919
shin	0.112472
back.	0.112003
sternum	0.110521
knee	0.10955
forearm	0.108929
calf	0.105458
wrist	0.104801
pinkie	0.102709
kneecap	0.100414
muscle	0.0989714
aorta	0.0952005
thigh	0.0942102
cartilage	0.0913135
ankle	0.09106
fascia	0.0884278
tibia	0.0872168
fibula	0.082369
Quad	0.0813134
collarbone	0.0811261
buttock	0.0802902
hip	0.0798848
retina	0.0796589
rib	0.0788994
"vocal cord"	0.077691
pelvis	0.0773943
spine	0.0758835
goalpost	0.0752301
spleen	0.0742728
aneurysm	0.0731768
"eye socket"	0.0728554
thumb	0.0727064
"middle finger"	0.0709572
"index finger"	0.0693314
gallbladder	0.0678221
"gas line"	0.0675597
neck	0.0672742
hernia	0.0647681
"spinal cord"	0.0646043
appendix	0.064466
toe	0.0625101
"ring finger"	0.0621026
sinus	0.0618079
bladder	0.0614516
"shoulder blade"	0.0609165
abdomen	0.0588366
eardrum	0.05872
tendinitis	0.0571055
eyelid	0.0569704
femur	0.0563323
Two-inch	0.0561344
sac	0.055115
knuckle	0.0535468
"water main"	0.0526147
colon	0.0525666
"little finger"	0.0521118
uterus	0.0515104
kidney	0.0512933
cheekbone	0.0506413
jaw	0.0497835
limb	0.0492554
lung	0.0492488
testicle	0.0481066
concussion	0.0478599
shoelace	0.0474758
cyst	0.0465745
Pinky	0.0463013
bronchitis	0.0459372
spinnaker	0.0451695
stomachache	0.0451345
vertebrae	0.0450795
Tooth	0.0448646
"hind leg"	0.0445556
contusion	0.0441762
armpit	0.0431179
lobe	0.0430506
"blood vessel"	0.0430049
optometrist	0.0410464
vertebra	0.0407102
militarist	0.0402754
incision	0.0400929
))
("achilles tendon" (desc 2515.05) (sims
ACL	0.310737
Achilles	0.307303
flexor	0.290324
quadriceps	0.277618
triceps	0.268632
tendon	0.255273
"rib cage"	0.224296
meniscus	0.214042
ligament	0.21126
labrum	0.196895
cuff	0.188106
hamstring	0.183101
groin	0.179033
biceps	0.15726
forearm	0.147106
cartilage	0.141378
spleen	0.133556
pinkie	0.131592
elbow	0.129658
gallbladder	0.124119
back.	0.12378
wrist	0.121641
sternum	0.121513
fibula	0.120817
fascia	0.120481
aorta	0.120392
ankle	0.118834
kneecap	0.11877
muscle	0.118527
calf	0.118025
"ring finger"	0.117608
"index finger"	0.117199
hernia	0.11509
collarbone	0.111891
"shoulder blade"	0.110513
"vocal cord"	0.104503
eyelid	0.102785
"eye socket"	0.102178
buttock	0.0991588
bladder	0.0983106
thigh	0.097368
femur	0.0968494
tibia	0.096579
shin	0.0955682
tendinitis	0.0938626
spinnaker	0.0919925
retina	0.0909458
"middle finger"	0.0907116
thumb	0.0906516
Quad	0.0900598
goalpost	0.0892527
colon	0.0887995
rib	0.0875131
aneurysm	0.085177
"gas line"	0.0842257
soreness	0.0811162
sac	0.0783579
Pinky	0.0771528
"spinal cord"	0.0768817
"water main"	0.0767597
jaw	0.076117
spine	0.0733367
"left hand"	0.073091
nerve	0.073028
sinus	0.0727437
vertebra	0.0723145
appendix	0.071872
"three match points"	0.0718459
lung	0.0714683
abdomen	0.0707333
"break of serve"	0.0703387
eardrum	0.0678243
Stinger	0.0675759
pelvis	0.0675697
kidney	0.0653822
vertebrae	0.0651783
testicle	0.0644742
"right hand"	0.0639337
uterus	0.0639121
"little finger"	0.0635292
"heart valve"	0.0625699
contusion	0.0621723
homesickness	0.0616774
"Everett McIver"	0.0616495
"hind leg"	0.0612198
"landing gear"	0.0608311
"anxiety disorder"	0.060255
concussion	0.0595283
"blood vessel"	0.0593271
"Achilles' heel"	0.0580271
"Stephane Fiset"	0.0579951
"water line"	0.0574854
cheekbone	0.0565383
limb	0.0564483
"Erik Williams"	0.0562749
Fiset	0.056234
landmine	0.0552237
"Trent Green"	0.055101
"seven homers"	0.0549949
"two match points"	0.0549193
"Gene Williams"	0.0541827
"soda can"	0.0536358
uppercut	0.0533805
paraplegic	0.0532595
McIver	0.0529558
"back pain"	0.0528639
lobe	0.0520121
sheath	0.0512884
"brain stem"	0.0512393
"Jason Sehorn"	0.0512115
"water pipe"	0.0511894
nostril	0.0510687
bowel	0.0510114
hemorrhage	0.0505085
"Heath Irwin"	0.0503148
"Flozell Adams"	0.0502585
shoelace	0.0499569
spasm	0.0494453
"Larry Allen"	0.0491729
Checo	0.0490533
team-high	0.0488492
"Nate Newton"	0.0487366
Gash	0.0482862
armpit	0.0478623
"set point"	0.04694
"Steve Park"	0.0463986
crotch	0.0463977
"Pierre Turgeon"	0.0460158
"Kevin Mathis"	0.0459208
inflammation	0.0458823
cyst	0.0457752
night.	0.0456768
streak.	0.0455414
"asthma attack"	0.0454564
angioplasty	0.045455
well-publicized	0.0454262
"Jarious Jackson"	0.0453225
"digestive tract"	0.0452667
"dog bite"	0.0452382
stiffness	0.0451968
knuckle	0.0451737
cellmate	0.0450741
tightness	0.0450699
"Charlie Batch"	0.0450016
"Ronnie Bradford"	0.0448625
"Angelo Peruzzi"	0.0448013
"Ryan Kealy"	0.0445376
gangrene	0.0445036
suction	0.0441581
"Byron Hanspard"	0.0440281
"power failure"	0.0440129
Canty	0.0437186
nosebleed	0.0436407
LASIK	0.0435891
silicone	0.0435159
comeuppance	0.0434807
"engine failure"	0.0433667
"six million"	0.0430347
"service break"	0.0429998
prostate	0.0427452
"piece of music"	0.0423154
larynx	0.042087
"Jason Fabini"	0.0420661
hoof	0.0420155
"Travis Hall"	0.0419388
"vital organ"	0.0418778
Nicol	0.0417478
forefinger	0.0415633
"inner ear"	0.0415359
"school girl"	0.0413312
suture	0.0412203
scalp	0.0411725
"Field Poll"	0.0411392
"Tommy Salo"	0.0410933
awning	0.0410354
"BRIAN MEADOWS"	0.0409677
"more than @@.@ billion yuan"	0.0409491
"Bobby Newcombe"	0.0408171
Konstantinov	0.0407702
"Steve Shields"	0.0406743
"Jamal Lewis"	0.0403073
"skin cancer"	0.0402055
Caesarean	0.0401122
"Matt Johnson"	0.0400097
))
("Achilles' heel" (desc 2990.28) (sims
"weak point"	0.0663376
"strong point"	0.0652599
determinant	0.0638471
bugaboo	0.0624752
linchpin	0.060136
acquirer	0.059435
"whipping boy"	0.0594067
"question mark"	0.0590743
"achilles tendon"	0.0580271
"stumbling block"	0.0569988
backbone	0.0555405
electability	0.0534625
"pain in the neck"	0.0528337
"talk of the town"	0.0528111
abomination	0.0524737
breadwinner	0.0520004
"pen pal"	0.0513347
"white elephant"	0.0510079
"decisive factor"	0.0509818
undoing	0.050773
"second unit"	0.050675
"drawing card"	0.0506629
underbelly	0.0500142
underpinning	0.0498601
drawback	0.0495385
savior	0.0491016
"trump card"	0.04854
spleen	0.0475711
accoutrement	0.047481
"point of reference"	0.0471273
oppressor	0.0459071
non-issue	0.0457385
motivator	0.0448551
breadbasket	0.0447644
"guardian angel"	0.0445921
wellspring	0.0443055
laughingstock	0.0442426
resiliency	0.0442173
kingmaker	0.0441604
lifeblood	0.0439123
weakest	0.0438683
"takeover target"	0.0437676
"driving force"	0.0436182
emitter	0.0434994
"component part"	0.0434879
"object lesson"	0.0434751
weakling	0.0433919
shootaround	0.0432361
"ball club"	0.0431636
impediment	0.0427702
"mutually exclusive"	0.0427251
"raw talent"	0.0426666
workhorse	0.0426332
hang-up	0.0425442
"full complement"	0.0425079
soulmate	0.0424532
subpar	0.041861
"soul mate"	0.0418554
yardstick	0.0418135
"determining factor"	0.0417897
"numbers game"	0.0417092
cohesiveness	0.041652
"legal guardian"	0.0414656
predictor	0.0411072
"observation post"	0.0410274
abdication	0.0409928
"toy retailer"	0.0408472
enabler	0.0408199
turnoff	0.0408153
eavesdropper	0.040601
polluter	0.0405847
eardrum	0.0405159
stinker	0.0405073
cog	0.0404663
bottleneck	0.0403924
subtext	0.0403672
))
(acid (desc 13707.3) (sims
acidity	0.119603
chemical	0.113141
Liquid	0.108137
fluid	0.103062
nutrient	0.102955
cyanide	0.10266
ammonia	0.101565
toxin	0.0967303
chlorine	0.0965578
pesticide	0.0928338
antioxidant	0.091103
bleach	0.0905989
"amino acid"	0.0905435
salt	0.090373
substance	0.087704
"sulfuric acid"	0.0867551
nitrogen	0.0858366
arsenic	0.085523
starch	0.0849218
protein	0.0840515
enzyme	0.083421
mineral	0.0827041
phosphorus	0.0812474
contaminant	0.080999
alcohol	0.0807924
hormone	0.0806734
kerosene	0.0806323
Calcium	0.0802008
poison	0.0797873
benzene	0.0790843
solvent	0.0785181
caffeine	0.0772984
sugar	0.0772119
juice	0.0771351
hydrocarbon	0.0770708
milk	0.0766816
pollutant	0.0759622
radioactivity	0.0755436
sulfur	0.0753658
vinegar	0.0751976
PCBs	0.0751685
pigment	0.0747268
"carbon dioxide"	0.0741193
chloride	0.074064
plutonium	0.0738709
insecticide	0.0738653
methanol	0.0735641
additive	0.0729661
gas	0.0724176
residue	0.0720671
sedative	0.0718126
herbicide	0.0716097
electrolyte	0.0714612
"carbon monoxide"	0.0712349
cornstarch	0.0708156
fiber	0.0707874
fertilizer	0.0704827
"water vapor"	0.0704641
powder	0.0703211
honey	0.0700289
gasoline	0.069985
carotene	0.0695197
waste	0.0695002
carbohydrate	0.0688353
detergent	0.0684815
uranium	0.0684661
potassium	0.0684218
vitamin	0.0684203
"orange juice"	0.0682958
moisture	0.0682375
amphetamine	0.0681466
carcinogen	0.0678094
iodine	0.0677479
insulin	0.0676326
"baking soda"	0.0673881
flour	0.067388
Sewage	0.0669488
"nitric acid"	0.0667066
sweetener	0.0665513
"chemical compound"	0.0664334
"free radical"	0.0663772
asbestos	0.0659979
"hydrogen peroxide"	0.0658757
molecule	0.0658462
"explosive device"	0.0653021
melatonin	0.0650149
"diesel fuel"	0.0649015
antibody	0.0645045
metal	0.0644524
fat	0.0643636
methane	0.0642367
dioxin	0.064161
fungicide	0.0638749
flavoring	0.06385
ore	0.0638089
"fruit juice"	0.0638073
tannin	0.0636234
"folic acid"	0.0636003
flavor	0.0633732
syrup	0.0630626
bacteria	0.0629848
CFCs	0.0629743
"organic compound"	0.0628478
grease	0.0627573
disinfectant	0.0622032
"growth hormone"	0.062036
dust	0.0619162
"vitamin E"	0.0619153
stimulant	0.0617189
fluoride	0.0616683
"wheat flour"	0.0613337
oxygen	0.0612435
LSD	0.0612334
"food coloring"	0.0612205
spice	0.0612149
preservative	0.0611789
cocaine	0.0611516
"cane sugar"	0.0611456
"electric current"	0.0609768
nitrate	0.060129
vapor	0.0600965
radiation	0.0600942
"diesel oil"	0.0598387
yeast	0.0597668
cement	0.0595802
foam	0.059442
"egg yolk"	0.0594029
thinner	0.0593964
calory	0.0591157
vermouth	0.059088
"hard drug"	0.0590414
yolk	0.0588175
tritium	0.058788
soda	0.0587396
particle	0.0586155
ingredient	0.0585176
antibiotic	0.0584951
testosterone	0.0583229
CO@	0.0582349
herb	0.0582001
impurity	0.0580453
collagen	0.0578857
explosive	0.0577664
cholesterol	0.0574912
"vitamin C"	0.0574321
"nerve gas"	0.0573387
"motor oil"	0.0572524
"chemical agent"	0.0572034
rainwater	0.0571833
buttermilk	0.0571716
glucose	0.05709
venom	0.0570177
REPELLENT	0.0565841
steroid	0.0564461
fume	0.0564383
cream	0.0564287
Beer	0.0563566
mercury	0.0562748
broth	0.0560008
hydrogen	0.0558298
ethanol	0.0557644
"olive oil"	0.0557301
"fuel oil"	0.0556272
gelatin	0.0554724
"cooking oil"	0.0554356
half-and-half	0.0554158
molasses	0.0552856
blood	0.055257
"lemon juice"	0.055103
interferon	0.0550845
pellet	0.0550169
seasoning	0.0548779
sodium	0.0546549
"crude oil"	0.0544506
capsaicin	0.0543374
morphine	0.0543351
compound	0.0542043
"corn syrup"	0.0539884
Sarin	0.0539495
Coal	0.0538946
narcotic	0.0538913
"nitrous oxide"	0.0538642
ink	0.0538402
iron	0.053747
phosphate	0.0534948
microorganism	0.0532553
rum	0.0532466
soap	0.0531769
"fatty acid"	0.0531584
margarine	0.0530925
estrogen	0.0530773
vanilla	0.0530287
"vegetable oil"	0.0528932
sludge	0.0528596
firebomb	0.0528481
GHB	0.0528296
fruit	0.0527979
paste	0.0527688
"toxic waste"	0.0527565
nicotine	0.0527426
))
("acid rain" (desc 6543.48) (sims
smog	0.219495
"water pollution"	0.209321
"nitrogen dioxide"	0.198917
desertification	0.192562
"soil erosion"	0.17959
"air pollution"	0.168959
ozone	0.16594
"carbon monoxide"	0.163038
pollution	0.152041
soot	0.148437
"forest fire"	0.145128
"nitrogen oxide"	0.136702
particulates	0.136082
deforestation	0.134636
Haze	0.134381
dioxide	0.134034
"juvenile delinquency"	0.131449
degradation	0.13033
erosion	0.126371
"dust storm"	0.125934
congestion	0.123242
emission	0.121828
"food poisoning"	0.120855
"sulfur dioxide"	0.118635
pollutant	0.115793
famine	0.110666
flooding	0.108099
"infectious disease"	0.1069
pandemic	0.106115
contamination	0.105445
"flash flood"	0.104677
overpopulation	0.104314
"drug abuse"	0.103601
"traffic jam"	0.102863
malnutrition	0.102187
calamity	0.102178
sandstorm	0.101931
depletion	0.101852
spill	0.101189
subsidence	0.100485
IDD	0.0996522
sprawl	0.0994887
fume	0.0994429
vibration	0.0977223
"human activity"	0.0975233
condensation	0.0973213
malaria	0.097255
dust	0.0962291
drought	0.0941621
noise	0.0941232
seepage	0.0920066
contagion	0.0906857
HIV/AIDS	0.0902784
"power failure"	0.0886663
"plant disease"	0.0882692
salinity	0.0878918
"animal disease"	0.0873675
pest	0.0872965
"drug problem"	0.0870238
"cold weather"	0.0869495
radiation	0.0868396
overproduction	0.0868174
instability	0.0866101
leakage	0.086607
"lead poisoning"	0.0865994
epidemic	0.0863851
shortage	0.0863348
locust	0.085996
sulfur	0.0854321
poisoning	0.0849488
"contagious disease"	0.0849117
rollovers	0.0848232
"acquired immune deficiency syndrome"	0.0841899
"cardiovascular disease"	0.0841098
Truancy	0.0821997
cholera	0.0820606
"crop failure"	0.0819378
blindness	0.0818704
logging	0.0818344
humidity	0.0816985
outage	0.0815353
"health problem"	0.0812529
particle	0.081081
"urban sprawl"	0.0808988
mudslide	0.080789
landslide	0.0805528
overload	0.0804172
deterioration	0.0801638
Sewage	0.0800853
gridlock	0.079734
"drug addiction"	0.0795587
influenza	0.0793349
"cold spell"	0.0791032
infestation	0.0790997
"heart disease"	0.0789971
oversupply	0.0783155
hypertension	0.0782831
dumping	0.0782807
snowstorm	0.0780612
piracy	0.0780471
pesticide	0.0776472
overuse	0.0774851
deflation	0.0771493
diarrhea	0.077145
"water hyacinth"	0.0765305
Osteoporosis	0.0764237
outages	0.0759843
overcapacity	0.0759499
crunch	0.0759401
"alcohol abuse"	0.0758563
anemia	0.0755949
poaching	0.0755325
nitrogen	0.0753444
"communicable disease"	0.0750902
arsenic	0.074787
blackout	0.0744447
"dengue fever"	0.0744213
tsunami	0.0743146
"liver disease"	0.074186
"temperature change"	0.0741088
disaster	0.0738367
smoking	0.0734101
Typhoon	0.073384
wildfire	0.0730886
earthquake	0.0725734
homelessness	0.0724467
fluctuation	0.0723844
Frost	0.0723281
silt	0.0722875
"high temperature"	0.0722818
turbulence	0.072258
"HIV/ AIDS"	0.0719725
Obesity	0.0717702
"Hurricane Georges"	0.071512
"blood clot"	0.071501
deficiency	0.0714172
corrosion	0.0712296
tremor	0.0710982
odor	0.0708003
"foot-and-mouth disease"	0.0706122
"carbon dioxide"	0.0705346
hazard	0.0704169
"crime wave"	0.0703555
"moral hazard"	0.0702286
"cold wave"	0.0701761
hydrocarbon	0.0699701
catastrophe	0.069948
unemployment	0.0698418
scarcity	0.0695631
"heat wave"	0.0693943
immigration	0.0691381
Tb	0.0690632
emphysema	0.0688722
poverty	0.0688521
"El Nino"	0.0687242
starvation	0.0683007
"venereal disease"	0.0680289
rainfall	0.0678302
dehydration	0.0677918
"memory loss"	0.0677596
"drug trafficking"	0.0677129
tuberculosis	0.0676126
"hydrogen sulfide"	0.0675553
"toxic waste"	0.0673268
"water table"	0.0669351
insecurity	0.0668628
migraine	0.0668495
"skin cancer"	0.0668062
"Lyme disease"	0.0667981
aids	0.0667619
"tooth decay"	0.0665964
unrest	0.0665734
"cash crunch"	0.0665201
dioxin	0.0664186
outbreak	0.0663265
"eye disease"	0.0660564
"respiratory disease"	0.0653647
PCB	0.0651778
deformation	0.0651143
"economic crisis"	0.0651079
illness	0.065074
volatility	0.0649848
"hot weather"	0.0648161
"high blood pressure"	0.0647363
Proliferation	0.0646467
hunger	0.0646459
allergy	0.0645743
glut	0.0645682
canker	0.0645672
polio	0.0645648
hooliganism	0.0645499
asthma	0.0644925
imbalance	0.0644538
dioxins	0.0644487
tornado	0.0644017
"brain drain"	0.0640919
"free radical"	0.0640687
"organic compound"	0.0640377
cryptosporidium	0.0639776
diabetes	0.0637492
))
(acidity (desc 5744.94) (sims
tannin	0.19358
sweetness	0.140233
flavor	0.132217
acid	0.119603
aroma	0.102736
citrus	0.0992144
earthiness	0.0896338
texture	0.0888803
crispness	0.0873544
nutrient	0.0809848
richness	0.0796888
freshness	0.0766348
legroom	0.0715037
"breathing space"	0.0711338
"breathing room"	0.0704566
fizz	0.0689712
spunk	0.0662416
oomph	0.0635641
coolness	0.063558
consistency	0.0633993
"sense of smell"	0.0631574
seasoning	0.0630795
flavoring	0.0626057
spice	0.0624233
salinity	0.0623727
lightness	0.0620791
toxicity	0.0603482
wattage	0.0598496
clarity	0.0587858
sharpness	0.0581973
density	0.0581248
tenderness	0.0580155
honey	0.0569064
moisture	0.0566828
inventiveness	0.0557333
radioactivity	0.055455
heft	0.0551255
sophistication	0.0550371
firepower	0.0549871
"elbow room"	0.0547746
"cost structure"	0.0547126
horsepower	0.0546547
quickness	0.0540482
juice	0.0536386
tailoring	0.0535702
vanilla	0.053568
starch	0.0533094
brightness	0.053169
irreverence	0.0529582
complexity	0.0529008
pizazz	0.05249
subtlety	0.0523593
corrective	0.0517928
elegance	0.0514567
corroboration	0.0511776
perfume	0.0511442
"bond rating"	0.0494156
"Chenin blanc"	0.0492495
Fragrance	0.0486932
veggie	0.0485215
aftertaste	0.0484365
shading	0.0482659
scent	0.0481386
maneuverability	0.0478927
"green salad"	0.0478727
voltage	0.0477286
wit	0.0475143
firmness	0.0474726
composure	0.0474403
"dollar amount"	0.0472569
humidity	0.0471331
variability	0.0469061
bitterness	0.0468688
elasticity	0.0468583
antioxidant	0.0467528
gumption	0.0467228
cockiness	0.046619
liquidity	0.0465681
"one cup"	0.046275
functionality	0.0462515
bouquet	0.0462249
C-section	0.0461692
nervousness	0.0457527
cachet	0.0457275
"geographical area"	0.0455694
flexibility	0.0455541
gentility	0.0454761
"light touch"	0.0454178
"Sauvignon blanc"	0.0453445
"writing style"	0.0451795
"storage space"	0.0450563
stamina	0.0449898
velocity	0.0449477
"fruit juice"	0.0447008
flesh	0.0446779
potassium	0.0446722
sass	0.0446436
radiance	0.0446283
herb	0.0445328
hubris	0.0444606
diversification	0.0443711
"staying power"	0.0443454
octane	0.0440128
"creature comforts"	0.0440071
pH	0.0439789
warmth	0.0439096
dryness	0.0439051
"air pressure"	0.043784
resonance	0.0436905
"sparkling wine"	0.0435855
"marketing cost"	0.0435592
nectar	0.0435042
repartee	0.0434095
Panache	0.0433841
flair	0.0433207
berry	0.0433098
sulfur	0.0432233
naivete	0.0431388
"chemical compound"	0.0430916
"labor cost"	0.0428512
self-confidence	0.0428414
volatility	0.0426645
microorganism	0.0426009
Zing	0.0425827
compost	0.0424891
lemon	0.0424635
immediacy	0.0424186
oscillation	0.0423782
nuance	0.042307
grub	0.0422936
granola	0.0422438
vulnerability	0.0421919
catharsis	0.04219
"foot traffic"	0.0421889
pathos	0.0419506
quirkiness	0.0418959
adhesion	0.0418546
frankness	0.0418068
agility	0.0417776
authenticity	0.0417174
luster	0.0416584
humility	0.0416316
weirdness	0.0414668
proficiency	0.0414643
"income bracket"	0.0414128
jingoism	0.0412746
Oak	0.0410783
flak	0.0410392
"market penetration"	0.0409929
smoothness	0.0409191
"safety feature"	0.0409086
reassurance	0.0409056
macro-economy	0.0408467
"key rate"	0.0408008
gravitas	0.0407701
vitamin	0.0406906
"lime juice"	0.040685
"personal relation"	0.0406715
patina	0.0406213
potency	0.0406033
bandwidth	0.0405805
mischief	0.0405252
theatricality	0.0404895
willpower	0.0404116
"surface area"	0.0403378
"bank rate"	0.0403327
fungi	0.0403204
fluoride	0.04031
imperfection	0.0401931
respectability	0.0401161
))
(Ackerman (desc 2504.32) (sims
Meissner	0.136231
Vogel	0.132703
Kurth	0.125553
Menchu	0.125286
Bakaly	0.124583
Cramer	0.124245
Sharma	0.122056
Ruehe	0.121739
Sorensen	0.120837
Hauser	0.119741
Shayler	0.118622
Mikhailov	0.116898
Lowry	0.116878
Wolfson	0.116076
Berenson	0.115522
Finkel	0.114196
Farber	0.113862
Molinari	0.109863
Goldin	0.108682
Markovic	0.108538
BURNHAM	0.108386
Ghani	0.107924
Kirkpatrick	0.107677
Fiorina	0.106866
Kagalovsky	0.106473
Khalil	0.106292
Cline	0.105154
Velayati	0.104793
Blackthorne	0.104536
Arbour	0.103804
Sommer	0.102413
Baird	0.102383
Jensen	0.102264
Caddell	0.1021
Advani	0.10204
DeFrantz	0.101429
Madden	0.10132
Rothenberg	0.100768
Rossotti	0.100743
Brazile	0.100473
Garza	0.100296
Weiner	0.100195
Rosen	0.0995981
Vance	0.0989171
Milbury	0.0988883
Upshaw	0.0988074
Kornberg	0.0987947
Abram	0.0987941
Alioto	0.0986862
Nicholson	0.0986492
Sheehan	0.0985958
silber	0.0985782
Postol	0.0983907
Cui	0.0983678
Troussier	0.0982504
Betts	0.0981874
Dowd	0.0977688
Waxman	0.0977369
Kurtz	0.097671
Fulmer	0.0974654
Padilla	0.0973803
Mcbride	0.0972758
Lockwood	0.0971123
Koskinen	0.0971083
Arron	0.0969222
Baum	0.0969066
Jobe	0.0966841
Kennard	0.0965724
Cleary	0.0965176
Feldman	0.0965091
Boyle	0.0963545
Stoneman	0.0961084
Manley	0.0958394
Donohue	0.09575
Rosenblatt	0.0950017
Alarcon	0.0949765
Pape	0.0949688
Hagen	0.0949422
Brownback	0.0948964
Kopp	0.0948213
Kessler	0.0945837
Tuttle	0.0944291
McConnell	0.0942547
Cianci	0.0940943
Hoffmann	0.0939014
Rubinstein	0.0938969
Zadornov	0.0937694
Gilman	0.0934155
McCurry	0.0930617
Hecht	0.0925237
Dunleavy	0.0921545
Hagel	0.0921135
Naumann	0.0920339
Winkler	0.0920251
Diouf	0.0919832
Rivlin	0.0919234
Boyd	0.0917281
Nasrin	0.0916603
Nzo	0.0916223
hodgson	0.091554
Ono	0.0914652
Henning	0.0914206
Hamlin	0.0913707
Jarrell	0.0913637
Hartley	0.090998
Singson	0.0909965
Barshefsky	0.0908725
Sheng	0.0906711
Zhao	0.0906272
Farrell	0.0905454
Udall	0.0905279
Fleischer	0.0904117
Dyson	0.0902704
Valenti	0.0901154
Grossman	0.0900763
Yadav	0.0899993
Britton	0.0897595
Brundtland	0.0896451
Briscoe	0.0896316
Boucher	0.0896016
Mckee	0.0895947
Eizenstat	0.0893735
Hartman	0.0892834
Morse	0.0892695
Seligman	0.0892346
Russo	0.0891858
Merritt	0.0891798
Morrison	0.0890467
Inman	0.0890432
Sebaggala	0.0890061
Shulman	0.0888195
Faget	0.0886926
Fagan	0.0886419
Wiggins	0.0886223
Godfrey	0.0884606
Burleigh	0.0883391
Barad	0.0879787
Stayner	0.0878933
Gauthe	0.0878705
Camacho	0.0878262
Lessig	0.0877871
Kodikian	0.0877847
Sibley	0.0877051
Musa	0.0876925
Stahl	0.087615
Hanna	0.0875974
Barrie	0.0875144
Joklik	0.0873257
Pearce	0.087317
Greenwald	0.0873118
Ritter	0.0872516
Garcetti	0.0871655
Bronfman	0.0871436
Connolly	0.0869782
Bowen	0.0869274
Rosenthal	0.086682
Ebersol	0.0866447
Jeffers	0.086544
Suarez	0.0864888
Lau	0.086472
Gullit	0.0864693
Ng	0.0864663
Zou	0.0863919
McFadden	0.086183
Sykes	0.086137
Rifkind	0.0859989
Bellamy	0.0859585
Lew	0.0859323
Keenan	0.0858066
Salim	0.0857067
Rong	0.0854664
Aguirre	0.08544
Fay	0.085262
Goodman	0.0852481
Meehan	0.0850711
Yastrzhembsky	0.0849995
Prewitt	0.0847865
Blazevic	0.0847533
Mudge	0.0846836
Egan	0.0846456
Bowers	0.0845556
Soto	0.0845286
Feng	0.0844992
Knapp	0.084319
Canady	0.0843106
Conte	0.0843064
Garvey	0.0842803
Wilhelm	0.0841958
Koop	0.084014
Hayworth	0.0839925
Verney	0.0837733
Allard	0.0837347
Sherrill	0.0835924
Kazhegeldin	0.083495
Gutman	0.0832955
Siazon	0.0832594
Shalala	0.0832585
Rashid	0.0832342
bullock	0.0831148
Daschle	0.0831067
))
(acknowledgement (desc 6845.06) (sims
acknowledgment	0.19616
recognition	0.112713
acceptance	0.106706
admission	0.0932648
affirmation	0.0877899
assent	0.0863314
understanding	0.0839185
reaffirmation	0.0838809
repudiation	0.0812719
reiteration	0.0801392
confession	0.0753259
confirmation	0.0730209
indication	0.0726655
indicative	0.0701858
denial	0.0695801
manifestation	0.0675267
encouragement	0.0656391
apology	0.0649534
acquiescence	0.0640338
reminder	0.0635678
endorsement	0.0628274
appreciation	0.0627923
reversal	0.062792
reflection	0.0626196
inkling	0.0625154
denunciation	0.0624916
proof	0.0613057
lessening	0.0611703
turnabout	0.0608295
rebuke	0.060774
disclosure	0.0607448
cover-up	0.060357
assurance	0.0602909
reevaluation	0.0602215
condemnation	0.059195
about-face	0.0577504
misperception	0.0576519
exaggeration	0.0570813
overview	0.0565527
Declaration	0.0563885
"policy change"	0.0563448
awareness	0.0559444
assertion	0.0551655
vindication	0.0547836
easing	0.0547815
abdication	0.0547438
willingness	0.0546319
concession	0.0540973
reconsideration	0.0540241
unanimity	0.0537776
"expression of regret"	0.0537692
admiration	0.0535088
fulfillment	0.0534684
proclamation	0.0531005
capitulation	0.052852
determination	0.0527939
clarification	0.0519298
renegotiation	0.0518784
documentation	0.0514632
outpouring	0.0514322
litany	0.0512245
exoneration	0.0509222
definition	0.0504902
ignorance	0.0501983
committment	0.0501877
pronouncement	0.0499926
reluctance	0.0499087
airing	0.0499041
rejection	0.0495098
reminded	0.0494457
renunciation	0.049098
negation	0.0489519
unwillingness	0.0488241
comprehension	0.0486747
sincerity	0.0484789
retraction	0.0483448
revelation	0.047939
reassessment	0.047878
denouncement	0.0477008
directive	0.0476769
reprimand	0.0476679
loosening	0.0475251
heartening	0.0473645
validation	0.047295
culmination	0.0472634
distillation	0.0470066
"personal appeal"	0.0469415
inaction	0.0465787
ultimatum	0.0463366
commendation	0.0461679
esteem	0.0461334
"tax treatment"	0.0461315
crux	0.0461143
reassurance	0.0460499
evaluation	0.0458026
annulment	0.0457996
imposition	0.045753
summation	0.0454517
presumption	0.0452437
notification	0.0452428
characterization	0.0451422
legitimacy	0.0450517
approximation	0.0448291
forgiveness	0.0446453
realization	0.0445513
finalization	0.0444203
disapproval	0.0441726
shocker	0.0439819
complementarity	0.0439683
declassification	0.0438999
miscalculation	0.0438333
ploy	0.0438287
overreaction	0.043813
"quid pro quo"	0.0436816
"double standard"	0.0434594
outgrowth	0.0433573
escalation	0.0430522
revision	0.0429559
"change of direction"	0.0428812
critique	0.0427957
bullishness	0.0427104
"direct evidence"	0.0426512
intransigence	0.0424556
repetition	0.0423392
flexibility	0.0422855
"tax income"	0.0422665
absolution	0.0422516
dissection	0.0418043
submission	0.0417247
hypocrisy	0.0416361
continuum	0.0415207
spite	0.0413314
benediction	0.0411974
evidences	0.0411328
advocacy	0.0411112
"practical application"	0.041004
"mutual understanding"	0.0408838
cockiness	0.0407671
certification	0.040748
collusion	0.0406929
coverup	0.0406862
hesitation	0.0406346
totality	0.0405704
equality	0.0403863
admonition	0.0402906
))
(acknowledgment (desc 18869.3) (sims
acknowledgement	0.19616
recognition	0.107666
acceptance	0.107406
admission	0.107398
affirmation	0.0954808
denial	0.093293
indication	0.0920916
apology	0.0916281
confession	0.0830869
reiteration	0.0828205
confirmation	0.081812
understanding	0.0809187
proof	0.0805755
reminder	0.0805631
disclosure	0.0800257
reflection	0.0798294
explanation	0.0786836
repudiation	0.0780196
reaffirmation	0.0769525
assurance	0.0720927
coverup	0.0719516
cover-up	0.0708362
assent	0.0708251
inkling	0.0706361
reversal	0.070613
endorsement	0.0700552
indicative	0.0698313
revelation	0.0696237
suggestion	0.0695456
appreciation	0.069166
concession	0.0681357
retraction	0.0680121
condemnation	0.0678187
criticism	0.0676146
assertion	0.0672929
gesture	0.0664279
rejection	0.065673
denunciation	0.0647856
Declaration	0.064769
assessment	0.0643772
response	0.0643104
manifestation	0.0640709
approval	0.0639307
clarification	0.063854
knowledge	0.0637804
"policy change"	0.0618508
description	0.0609824
evidence	0.0608155
validation	0.0607303
encouragement	0.0604099
awareness	0.0601096
commitment	0.0599673
litany	0.0597975
renunciation	0.0596171
example	0.0596169
hint	0.0594787
examination	0.0591297
warning	0.0586482
pledge	0.058277
vindication	0.0579425
expression	0.0570509
rebuke	0.0569469
reprimand	0.0564798
announcement	0.0560354
accusation	0.055913
interpretation	0.0558913
verification	0.0557662
reassurance	0.0556927
realization	0.0555815
capitulation	0.0554846
disapproval	0.055465
willingness	0.0554249
misstatement	0.055373
remark	0.0552597
forgiveness	0.0552326
"lying under oath"	0.0550694
abdication	0.0546233
indiscretion	0.0544948
notification	0.0543903
"expression of regret"	0.0542384
determination	0.0541562
gratitude	0.0539772
corroboration	0.0538532
plea	0.0537313
analysis	0.0534685
outgrowth	0.0533295
turnabout	0.0528122
authorization	0.052692
exaggeration	0.0519949
accepting	0.0518894
proclamation	0.0518775
snub	0.0516284
airing	0.0515994
assumption	0.0515954
consideration	0.0513043
contrition	0.051126
perception	0.050876
misstep	0.0507177
refusal	0.0506904
pronouncement	0.050686
critique	0.0505744
blunder	0.0502736
notion	0.0501179
reluctance	0.0501155
candor	0.0500718
exoneration	0.0499878
disregard	0.0499811
recollection	0.0499524
handshake	0.0496792
reaction	0.0496336
evaluation	0.0495689
seriousness	0.0492784
"good will"	0.0492663
remorse	0.0492604
"quid pro quo"	0.0491854
symbol	0.0491682
invocation	0.0491042
miscalculation	0.049008
certification	0.0489891
observation	0.0489442
testimony	0.0489002
introduction	0.0488929
allegation	0.0488066
breach	0.0486466
adulation	0.0485949
admiration	0.0482675
accounting	0.0482452
intervention	0.048227
involvement	0.0482088
prediction	0.0481849
appraisal	0.0481817
feedback	0.0481454
ploy	0.0480898
lapse	0.0478419
precedent	0.0478225
reference	0.0478215
judgment	0.0478045
rebuttal	0.0477963
nature	0.0477792
scrutiny	0.0476582
unwillingness	0.0476234
flurry	0.0476035
Gambit	0.0475144
evasion	0.047336
definition	0.0472921
solicitation	0.0472606
dalliance	0.0469852
prodding	0.0469774
overture	0.0467614
admonition	0.046723
breakthrough	0.0466604
ignorance	0.0466067
culmination	0.0465458
Correction	0.0465442
Comments	0.0465407
backing	0.0464892
ultimatum	0.0464387
milestone	0.0463781
disclaimer	0.0461178
legitimacy	0.0460919
enormity	0.0460503
affection	0.0459821
achievement	0.0459667
submission	0.0458565
spite	0.0458551
insistence	0.0457288
identification	0.0456592
latest	0.0456255
continuation	0.0456213
betrayal	0.0455756
goodwill	0.0454351
accountability	0.0454326
censure	0.045313
removal	0.0452296
blessing	0.0451851
outpouring	0.0451199
escalation	0.0451041
culpa	0.04503
oversight	0.0449728
misconduct	0.0448708
belief	0.0447901
invitation	0.044739
depiction	0.0446755
summary	0.0445726
documentation	0.0444198
spate	0.0443173
epiphany	0.0443097
enquiry	0.0442545
discovery	0.0440337
veto	0.0438207
snapshot	0.0438156
certainty	0.0438136
misrepresentation	0.0436978
virtue	0.0436547
manner	0.0435491
demonstration	0.0435342
gaffe	0.0435316
glimmer	0.0434717
fulfillment	0.0434651
reverence	0.0434445
))
(ACL (desc 2382.17) (sims
meniscus	0.346218
"achilles tendon"	0.310737
triceps	0.255491
labrum	0.247212
ligament	0.21809
Achilles	0.210211
cartilage	0.207334
tendon	0.187961
flexor	0.179199
quadriceps	0.151317
kneecap	0.141893
cuff	0.139283
hamstring	0.130352
"rib cage"	0.129123
groin	0.126765
fascia	0.125004
biceps	0.121511
sternum	0.116889
hernia	0.11656
retina	0.109114
sprain	0.098975
collarbone	0.0978673
"eye socket"	0.096692
"shoulder blade"	0.095765
"heart valve"	0.0912025
wrist	0.0895029
"vocal cord"	0.0894946
pinkie	0.0878375
tibia	0.0866463
"ring finger"	0.0863434
fibula	0.0844359
spleen	0.083576
aneurysm	0.0825099
eyelid	0.0815979
"index finger"	0.0804416
aorta	0.0792697
buttock	0.0791491
thigh	0.0786515
ankle	0.0785818
goalpost	0.0776207
eardrum	0.0769361
tendinitis	0.076818
pelvis	0.0743268
"brain stem"	0.0742593
femur	0.0721307
jaw	0.0701109
"spinal cord"	0.0684214
forearm	0.0676118
shin	0.0671791
"seven homers"	0.066858
"eight homers"	0.0645463
calf	0.0628991
gallbladder	0.0626463
Gash	0.0626273
Quad	0.0625333
"middle finger"	0.062351
contusion	0.0618252
cheekbone	0.0610828
"three sacks"	0.060584
McIver	0.0602222
rib	0.0596482
vertebrae	0.0594081
"dog bite"	0.0587343
looseness	0.0587221
bladder	0.0586856
spinnaker	0.0580186
vertebra	0.057634
lobe	0.056224
back.	0.055635
bedspread	0.0554372
testicle	0.0552489
colon	0.0540514
malformation	0.0536772
concussion	0.0529
stiffness	0.0526536
"Everett McIver"	0.0526012
soreness	0.0523878
divot	0.0519564
"five @-pointers"	0.0516752
Stinger	0.0513365
"little finger"	0.0512444
forefinger	0.0510192
spine	0.050353
Pinky	0.0500874
"four homers"	0.0499032
shoelace	0.0496531
inflammation	0.0495884
"six homers"	0.0493802
insides	0.0489472
sinus	0.0489324
LASIK	0.0487244
"break of serve"	0.0483353
double-double	0.0483253
entrails	0.0478018
Flo	0.0468608
kidney	0.0466209
GAA	0.0461648
"sixth homer"	0.0456286
"left hand"	0.0456149
"nervous breakdown"	0.0453737
abdomen	0.0451767
"water main"	0.0449899
shingle	0.0449356
"one sack"	0.044823
"choice of words"	0.0446458
"golf game"	0.044353
"power cable"	0.0441799
"five homers"	0.0440855
scalp	0.0438964
collateral	0.0435714
rectum	0.0434877
comeuppance	0.043302
awning	0.0432165
no-decision	0.0431078
expressiveness	0.0429789
"cash machine"	0.0428523
Lobo	0.0428142
"Ephraim Salaam"	0.042758
"Lomas Brown"	0.0427549
"internal organ"	0.0426351
derriere	0.042221
"one homer"	0.0419362
"mind's eye"	0.0417703
Unser	0.0416802
"political program"	0.0414649
"Potala Palace"	0.0414105
schoolwork	0.0412354
"picture book"	0.0411525
"writer's block"	0.0411038
twinge	0.0409677
"art teacher"	0.0408498
"kidney stone"	0.0405734
eyeglass	0.040534
Omni	0.0403444
armpit	0.0403085
"engine failure"	0.0402904
"easy chair"	0.0402769
))
(ACLU (desc 6229.83) (sims
"American Civil Liberties Union"	0.312339
"New York Civil Liberties Union"	0.215409
EEOC	0.212295
"Planned Parenthood"	0.189408
"Anti-Defamation League"	0.175746
NAACP	0.17374
"Legal Aid Society"	0.170917
"Sierra Club"	0.166992
"Paula Corbin Jones"	0.164027
"Judicial Watch"	0.163997
Greenpeace	0.150293
"Recording Industry Association of America"	0.146208
RIAA	0.14584
"Consumers Union"	0.145445
"Natural Resources Defense Council"	0.143287
FTC	0.142706
"Electronic Privacy Information Center"	0.140028
"Human Rights Watch"	0.137789
"Federal Trade Commission"	0.13767
AARP	0.136948
"Players Association"	0.134568
"Common Cause"	0.132866
"National Association"	0.1322
"National Labor Relations Board"	0.131054
"Center for Democracy"	0.131004
"American Jewish Committee"	0.129764
"Amnesty International"	0.129021
"American Lung Association"	0.126957
"Paula Jones"	0.124392
"American Association of Retired Persons"	0.123354
"Audubon Society"	0.122769
"Ethics Commission"	0.119856
Eappens	0.119826
"National Organization"	0.118582
"Equal Employment Opportunity Commission"	0.116658
"Justice Department"	0.116366
USGA	0.116356
"National Audubon Society"	0.116161
"Humane Society"	0.116
Harris-Lewis	0.115673
"Human Rights Campaign"	0.11527
ADL	0.114711
"Southeastern Legal Foundation"	0.114555
"Christian Coalition"	0.113307
"Southern Poverty Law Center"	0.111059
"U.S. Immigration and Naturalization Service"	0.110682
NRC	0.109116
"Consumer Federation"	0.108154
Condon	0.107783
"Public Citizen"	0.107473
NLRB	0.106707
"Center for Science"	0.105895
plaintiff	0.10548
Massport	0.104921
AOC	0.103729
"Department of Corrections"	0.102814
"Families USA"	0.101984
TKT	0.101431
"Urban League"	0.101171
SEC	0.101046
"Log Cabin Republicans"	0.101043
Alioto	0.100477
"Environmental Defense Fund"	0.0994737
AFL-CIO	0.0994156
NARAL	0.0991185
"U.S. Chamber of Commerce"	0.0989164
"Department of Justice"	0.0983947
"Violence Policy Center"	0.0975645
"United Way"	0.0973476
FEC	0.0969283
"American Red Cross"	0.0962937
USOC	0.0958542
"Board of Elections"	0.0952655
"World Jewish Congress"	0.094839
"Russian Space Agency"	0.0937229
CMA	0.0936221
PUC	0.093061
USAID	0.0927447
"Brown &AMP; Williamson"	0.0926236
INS	0.0912401
UNAIDS	0.0912065
"Motion Picture Association of America"	0.0908742
"right to life"	0.0907587
Spitzer	0.0904853
guild	0.0903743
"Port Authority"	0.0901675
"Family Research Council"	0.0897171
Caldera	0.0892481
"boy scout"	0.0891119
DOJ	0.0888086
"Department of Environmental Protection"	0.0886838
"Cuban American National Foundation"	0.0885612
"State Farm"	0.0884166
UNICEF	0.0881747
"Association of Flight Attendants"	0.0878855
"Environmental Protection Agency"	0.0872172
CWA	0.0871951
"British Foreign Office"	0.0865903
"Handgun Control"	0.0857548
"John Cornyn"	0.0857424
TDC	0.0850917
"Air Transport Association"	0.0850556
IEA	0.0850447
"National Republican Congressional Committee"	0.0849798
NRA	0.0846476
"Better Business Bureau"	0.0845036
"Air Line Pilots Association"	0.0843812
Caddell	0.0839162
"Bill Lockyer"	0.0836874
"American Bankers Association"	0.0833846
"National Rifle Association"	0.0833696
"Education Department"	0.0832785
CAA	0.0831075
Reilly	0.0830767
"National Association of Manufacturers"	0.0828111
Cornyn	0.0826004
UNFPA	0.0822805
cattlemen	0.0821849
"Department of Public Safety"	0.0820879
"Electronic Frontier Foundation"	0.0819408
"Rainbow/PUSH Coalition"	0.08188
"League of Women Voters"	0.0818333
EPA	0.0817387
MTA	0.0816985
"Salt Lake Organizing Committee"	0.0816838
"American Legion"	0.0816662
"NFL Players Association"	0.0816249
Pacifica	0.0815851
"school district"	0.0813093
PETA	0.0811862
NTSB	0.0807814
HKTA	0.0807666
SCLC	0.0805638
"Department of Labor"	0.0805536
HHS	0.0805108
"Koch Industries"	0.0803832
"Securities and Exchange Commission"	0.0800419
GAAF	0.0795538
"National Federation"	0.0788301
Nepa	0.078676
Rosenblatt	0.0785625
Cayugas	0.0784975
OSHA	0.0779828
"Heritage Foundation"	0.0775388
ITF	0.0774923
Boehner	0.0774636
Babbitt	0.0774609
"machinists union"	0.0773565
"Interior Department"	0.0766794
Jewell	0.0766632
Klan	0.0766275
"Dennis Vacco"	0.0765042
USTA	0.0764671
"Mary Jo White"	0.0763786
Archdiocese	0.0763554
"Main Events"	0.0763055
Verney	0.0761524
Intergraph	0.0755893
Davidians	0.0752224
"Hearst Corp."	0.0750863
"U.S. Soccer Federation"	0.0749591
"Transportation Department"	0.0745194
NHTSA	0.0744263
"American Cancer Society"	0.0741796
"National Alliance"	0.0741653
"Labor Department"	0.0739829
CBI	0.0739101
"public defender"	0.0739069
Katzenberg	0.0738868
"Health Department"	0.0737736
"Forest Service"	0.0737615
"Democratic Senatorial Campaign Committee"	0.0737494
"defense lawyers"	0.0736256
CFTC	0.0735763
WFP	0.073533
KEVORKIAN	0.0734199
"tobacco industry"	0.0733242
Vacco	0.0732175
Lockyer	0.0729152
"American Medical Association"	0.0728628
NIH	0.0727117
"Branch Davidians"	0.0727045
"U.S. Golf Association"	0.0724239
"solicitor general"	0.0722537
PBSI	0.0721105
"Communications Workers of America"	0.071828
"National Education Association"	0.0717731
KONI	0.0717643
Inhofe	0.0717313
"Federal Emergency Management Agency"	0.0715467
"property owner"	0.0715086
"Democratic Congressional Campaign Committee"	0.0714962
"American Federation"	0.0714303
Oneidas	0.0713917
"Immigration and Naturalization Service"	0.0712177
"World Wildlife Fund"	0.0711785
"U.S. Olympic Committee"	0.0710068
"customs service"	0.0709911
Generali	0.0708932
"Truth Commission"	0.0708327
))
(acne (desc 4615.95) (sims
impotence	0.166241
arthritis	0.157255
heartburn	0.149746
baldness	0.149004
ulcer	0.141766
asthma	0.140345
migraine	0.137557
hypertension	0.136128
glaucoma	0.13526
apnea	0.128892
bronchitis	0.126696
insomnia	0.126186
incontinence	0.125413
"high blood pressure"	0.123451
Osteoporosis	0.122153
nearsightedness	0.119481
allergy	0.119105
"rheumatoid arthritis"	0.117803
"common cold"	0.117088
angina	0.110956
anemia	0.110213
Parkinson's	0.107773
osteoarthritis	0.107268
cataract	0.105386
dementia	0.104561
schizophrenia	0.104437
narcolepsy	0.104167
"back pain"	0.103652
Obesity	0.102097
herpes	0.102006
hemophilia	0.101281
"skin cancer"	0.101174
"multiple sclerosis"	0.100641
hepatitis	0.100443
leukemia	0.100282
diabetes	0.100225
"sore throat"	0.100101
indigestion	0.0982033
epilepsy	0.0980726
flu	0.0975172
"tooth decay"	0.0963285
lupus	0.0957151
nausea	0.0955365
"morning sickness"	0.0955184
malformation	0.0937799
ADHD	0.0921482
psoriasis	0.0919829
"cystic fibrosis"	0.0917677
autism	0.0916584
diarrhea	0.0916428
"manic depression"	0.0908454
reflux	0.0904195
cough	0.0902009
infertility	0.0898923
gastroenteritis	0.0897656
stomachache	0.0896325
anti-inflammatory	0.0892308
malaria	0.0891611
"Parkinson's disease"	0.0890028
"food poisoning"	0.0881675
"asthma attack"	0.0881356
"hay fever"	0.087536
"liver disease"	0.0866288
"heart disease"	0.0861097
"respiratory disease"	0.0858979
"Lyme disease"	0.0855111
headache	0.0852115
pneumonia	0.0848199
Alzheimer	0.0843801
lesion	0.0843519
"heart failure"	0.0842492
constipation	0.083988
melanoma	0.083899
sunburn	0.0833353
tuberculosis	0.082651
"stage fright"	0.0825316
"eye disease"	0.0824901
"chest pain"	0.081905
"mental disorder"	0.0816852
"neurological disease"	0.081087
"skin care"	0.0805769
frostbite	0.0800989
syphilis	0.0797292
"skin disease"	0.0793912
influenza	0.0789649
"cardiovascular disease"	0.0787595
dysfunction	0.0786929
"memory loss"	0.0784321
Meningitis	0.0769937
"drug addiction"	0.0769439
myopia	0.0762781
leprosy	0.0751912
Alcoholism	0.0750934
sinus	0.0747011
als	0.0745535
Lice	0.0744192
myeloma	0.0742985
"writer's block"	0.0739854
ailment	0.073394
dehydration	0.0731574
fever	0.0722192
diarrhoea	0.0718744
"infectious disease"	0.0717581
facial	0.0714021
"heroin addiction"	0.0710151
syndrome	0.0706339
"cerebral palsy"	0.0704848
freckle	0.0703581
discoloration	0.0695757
disorder	0.0694772
cramp	0.0693884
retardation	0.0692865
"typhoid fever"	0.0692285
"alcohol abuse"	0.0691367
"mental illness"	0.0679281
encephalitis	0.0676505
"hepatitis B"	0.0674153
Depression	0.0673926
blindness	0.0671645
"dengue fever"	0.0670688
"lung cancer"	0.0669836
"heart condition"	0.0668704
"upset stomach"	0.0668472
"congestive heart failure"	0.0663093
"blood pressure"	0.0662988
mastectomy	0.0659827
cortisone	0.0655686
vomiting	0.0653926
gangrene	0.0649936
emphysema	0.0648758
inflammation	0.064778
Tb	0.0647081
"water pollution"	0.064706
"emotional distress"	0.0640095
malnutrition	0.0638662
"muscular dystrophy"	0.0638611
hernia	0.06375
deformity	0.0629702
disorientation	0.062635
Dengue	0.0625335
"sexually transmitted disease"	0.0621628
Rabies	0.0619056
dimple	0.0615228
PIERCINGS	0.0612692
"acquired immune deficiency syndrome"	0.0611854
gonorrhea	0.0611748
symptom	0.0610502
prostate	0.0607783
cryptosporidium	0.0606937
malady	0.0606871
deflation	0.0606871
fatigue	0.0604792
typhoid	0.0604778
"foot-and-mouth disease"	0.0604414
hypothermia	0.0603521
antihistamine	0.0603406
atherosclerosis	0.060337
"skin rash"	0.0602379
relapse	0.0599745
cholesterol	0.0599562
"brain tumor"	0.0598584
lymphoma	0.0597878
cholera	0.0597476
wart	0.0597272
Hantavirus	0.0595998
swelling	0.0595252
clotting	0.0592889
disfigurement	0.0592366
subsidence	0.0592353
palpitation	0.0590871
"substance abuse"	0.0587243
"colon cancer"	0.0587113
"cash crunch"	0.0585663
abscess	0.0585202
miscarriage	0.0585104
lifesaving	0.0584916
wrinkle	0.0583489
infestation	0.0581027
inhalation	0.0580252
nosebleed	0.0580142
drowsiness	0.0579722
"juvenile delinquency"	0.0578287
whiplash	0.0575696
laceration	0.057521
"heart attack"	0.0575109
botulism	0.0574871
weight-loss	0.0573683
cirrhosis	0.0573632
bifida	0.0571958
"acid rain"	0.0569931
hangover	0.0569739
abnormality	0.0567632
"soil erosion"	0.0566371
fertility	0.0563896
"lead poisoning"	0.0563675
HIV	0.0563303
Psychosis	0.0562259
"bubonic plague"	0.0561502
flatulence	0.0560334
trachoma	0.0559509
))
(ACOG (desc 2996.93) (sims
"Chronicle Publishing"	0.135589
NSC	0.129474
LAUSD	0.121944
SLOC	0.116034
UAL	0.1103
UNAMET	0.109493
SOCOG	0.107402
DEP	0.107252
"Thermo Electron"	0.106854
McKesson	0.106803
"Con Ed"	0.106051
"Salt Lake Organizing Committee"	0.0989339
CAA	0.0973764
Tenneco	0.0973602
AHP	0.0972088
DMV	0.0967218
"Sara Lee"	0.0961174
OCA	0.095655
IEC	0.0955488
"U.S. Soccer Federation"	0.094866
"Russian Space Agency"	0.0947144
"British Foreign Office"	0.0939408
ITTF	0.0927306
SAirGroup	0.0922818
"Forest Service"	0.0921762
Massport	0.0916828
NARAL	0.0900383
SmithKline	0.0899505
HKTA	0.089915
Biogen	0.0894557
"Scotland Yard"	0.0892122
"Atlanta Committee"	0.0891725
Lilco	0.0884451
GSS	0.0883766
"Department of Corrections"	0.0869832
"Wine Institute"	0.0868233
"civil defense"	0.086452
ama	0.0863677
SSB	0.0861852
BIA	0.0859167
USOC	0.0848585
"Department of Public Safety"	0.0847807
"Gap Inc."	0.0843337
AOC	0.0837166
DFB	0.083507
NIH	0.0832089
"Airport Authority"	0.0831411
ENTERGY	0.0830196
RCMP	0.08245
"Australian Olympic Committee"	0.082397
AMC	0.0820098
DNC	0.0814501
Mullinax	0.0814424
USATF	0.0812284
CalPERS	0.0808419
NHTSA	0.0806333
PNP	0.0801212
"Port Authority"	0.079942
FEMA	0.0796029
USAID	0.079529
HHS	0.0795278
RNC	0.0794758
Warnaco	0.0794687
"Housing Authority"	0.0791994
"International Amateur Athletic Federation"	0.079114
Starwood	0.0786581
SCLC	0.0783259
"Russian Interior Ministry"	0.0781718
Seagate	0.0779194
All-Tech	0.0778489
Loral	0.0778066
"Labor office"	0.0774453
INEC	0.0770495
"Con Edison"	0.0770017
YankeeNets	0.0766313
"Harvard Pilgrim"	0.0763175
Pacifica	0.0760933
"Defense Agency"	0.0759882
Enron	0.0758621
AHA	0.0757864
HKMA	0.0756905
Sunbeam	0.0753479
Mattel	0.0751156
NRC	0.0749095
IAI	0.074774
JAL	0.0747199
"U.S. Treasury Department"	0.0743333
F.A	0.0743037
PSE	0.074001
AIG	0.0735572
APA	0.0734075
Marketspan	0.0732303
ITF	0.0732175
"CBS Sports"	0.0732051
MACROMEDIA	0.0729682
UUP	0.0729523
NASD	0.0729398
"UAL Corp."	0.0728001
"Koch Industries"	0.0720953
BofA	0.0720474
CAF	0.0716796
MindSpring	0.0715886
"Texas Department of Public Safety"	0.071246
"National Association of Broadcasters"	0.0708256
Halliburton	0.0705031
"Education Department"	0.0703044
CDC	0.0701468
ICRC	0.0700118
Bridgestone	0.0697936
SCI	0.0697729
"Boston Scientific"	0.0695016
Raytheon	0.0694832
Tuttle	0.0693407
GANNETT	0.0692925
Bridgestone/Firestone	0.0692447
RUC	0.0692288
CPSC	0.0692022
"Civil Aviation Authority"	0.0690441
DP	0.0690434
"USA Basketball"	0.0688838
SBA	0.0688083
Citigroup	0.0685361
"Gulf Air"	0.0685156
"Sydney Organizing Committee"	0.0684726
FDA	0.0684145
IEA	0.0683597
"Football Association"	0.0682963
"American Lung Association"	0.0682158
Hersh	0.0681977
AFA	0.0681328
Medtronic	0.0680842
NORTHROP	0.0679826
MPAA	0.0679812
EBRD	0.0679297
Celera	0.0678115
FSA	0.0677248
"U.S. Defense Department"	0.0674133
"Urban League"	0.0672347
MTA	0.0671908
PETA	0.0671622
DoCoMo	0.0667902
"Israeli Foreign Ministry"	0.066698
ADM	0.0666031
SANDF	0.0665898
IAAF	0.0665653
coastguard	0.0665091
Loewen	0.0664942
Dana-Farber	0.0664899
TDC	0.0663593
CUC	0.0662731
"Georgia Power"	0.0662609
BSF	0.0662527
WebMD	0.0661023
Webvan	0.0660752
"P&AMP;G"	0.0660072
WFP	0.0658122
Eurotunnel	0.0658117
TWA	0.0654689
Aetna	0.0654348
"Culture Ministry"	0.0652784
CCC	0.0652656
Caltrans	0.0652351
USEC	0.0651148
"Y&AMP;R"	0.0648947
GPU	0.0647664
BankBoston	0.064665
"Cox Communications"	0.0645774
"South African National Defense Force"	0.0645175
HKFA	0.0643736
"ABC Sports"	0.0643096
"John Hancock"	0.0642724
"Russian Embassy"	0.0642249
CWA	0.0641415
"Ocean Spray"	0.064114
FDIC	0.0640996
"U.S. Olympic Committee"	0.0640686
Humana	0.0639903
NSA	0.0639753
NCR	0.0639126
"Levi Strauss &AMP; Co."	0.0638306
"Home Ministry"	0.0637439
McCall	0.0636968
"US State Department"	0.0636294
"Public Security Ministry"	0.0636192
DS	0.0635976
ISU	0.0635652
USDA	0.0635405
"National Grid"	0.0635351
"EU Commission"	0.0633426
Lockheed	0.0630818
Wyeth-Ayerst	0.0630635
NTSB	0.0628532
"Ernst &AMP; Young"	0.0628417
"U.S. Forest Service"	0.0627239
Litton	0.0622727
MetLife	0.0622
CellPro	0.0620815
CBO	0.0620582
SDPC	0.0620436
"Main Events"	0.0619965
))
(acolyte (desc 5511.85) (sims
devotee	0.0734762
speechwriter	0.0650211
admirer	0.0634985
follower	0.0582974
apprentice	0.0581973
cohort	0.0553408
disciple	0.0548037
"church member"	0.0534961
protege	0.0534339
birder	0.0533587
junkie	0.0523802
"big leaguer"	0.0516967
"shop assistant"	0.0501686
"flower child"	0.0500912
vagabond	0.0499872
laity	0.0497313
exerciser	0.0492725
organist	0.0485611
adventurer	0.048231
Lieutenant	0.0478874
crony	0.0476062
"exotic dancer"	0.0475503
alderman	0.0472447
churchgoer	0.0471435
"supporting players"	0.0466858
"belly dancer"	0.0464844
theologian	0.0462546
"foot soldier"	0.0460573
bodybuilder	0.0458452
"sports fan"	0.0456093
ideologue	0.0454307
"altar boy"	0.0452844
atheist	0.0452312
Washingtonian	0.0450086
old-timer	0.0450022
paramour	0.0448981
underling	0.0448168
theatergoer	0.0443418
experimenter	0.0443407
"sounding board"	0.0442947
lackey	0.0441486
optimist	0.0438554
technologist	0.0436914
"ballet dancer"	0.0434889
son-in-law	0.0433546
cleric	0.0432545
avocation	0.0429561
"leading lady"	0.0426525
groupie	0.0426213
servant	0.0425806
stargazer	0.0424794
"juvenile delinquent"	0.0423813
individualist	0.0422602
confidant	0.0422555
monarchist	0.0422189
loyalist	0.0421295
onlooker	0.0420976
"house guest"	0.0418724
seminarian	0.0412001
goal-scorer	0.0410493
parishioner	0.0408893
"letter writer"	0.0407108
believer	0.0406783
surrogate	0.0406073
shipmate	0.0405685
operative	0.0404602
cinematographer	0.0404386
gadfly	0.04038
accuser	0.0403618
interloper	0.0402907
"young person"	0.0402055
enthusiast	0.0401651
))
(acorn (desc 4661.94) (sims
"Families USA"	0.0999405
"winter squash"	0.0749592
twig	0.074352
"Common Cause"	0.0733022
"Public Citizen"	0.0706068
"Violence Policy Center"	0.0697698
sumac	0.0692629
"Operation Lifeline Sudan"	0.0678136
"opium poppy"	0.0660934
"Electronic Privacy Information Center"	0.0656114
"Human Rights Campaign"	0.0655404
pollen	0.0653881
AARP	0.0640798
"Republican Leadership Council"	0.064051
"root vegetable"	0.0623644
Tuber	0.0622325
oilseed	0.0612241
"Recording Industry Association of America"	0.0611542
Elm	0.0610068
"World Jewish Congress"	0.0582931
sugarcane	0.0578553
buckwheat	0.0568454
"Transparency International"	0.0567162
fig	0.0566838
aphid	0.0565419
"Log Cabin Republicans"	0.056243
larvae	0.0554642
"National Abortion and Reproductive Rights Action League"	0.054949
cashew	0.0546309
"Wine Institute"	0.0546252
peach	0.0546196
"Center on Budget"	0.0545378
termite	0.0545068
"RAND Corp."	0.0541046
"National Council of La Raza"	0.0540344
agave	0.0538406
"World Church"	0.0536902
insect	0.0533695
grape	0.053295
"raw meat"	0.0532044
"Air Transport Association"	0.0526587
"Judicial Watch"	0.0524554
seaweed	0.0524317
Mesquite	0.0522088
"Promise Keepers"	0.0520477
berry	0.0518272
grasshopper	0.0517881
"American Petroleum Institute"	0.0514275
nut	0.050661
"sugar cane"	0.0506382
melon	0.050316
pecan	0.0502578
"Human Rights Watch"	0.0501053
biogas	0.0499434
"Conference Board"	0.0496021
"Business Council"	0.0492041
"fishing line"	0.0488968
"red pepper"	0.0488455
"sunflower seed"	0.0484914
Mulberry	0.0484226
kelp	0.0483181
snowflake	0.047981
sunflower	0.0478166
"Center for Responsive Politics"	0.0477393
"white blood cell"	0.0476676
carrot	0.0476512
TrustE	0.0476427
hay	0.0475496
"Securities Industry Association"	0.0473738
"Lawrence Russell Brewer"	0.0471403
plum	0.0469177
cactus	0.0468461
pomegranate	0.0468178
Milkweed	0.0467798
"tree branch"	0.0467334
yam	0.046173
"T cell"	0.0461626
"Southeastern Legal Foundation"	0.0461565
"Consumers Union"	0.0460574
"Democratic Leadership Council"	0.0460167
hyphen	0.045985
"Urban Institute"	0.0459781
ballgames	0.0459735
bulb	0.0459038
beech	0.0458785
Oak	0.0456095
calorie	0.0455443
"life raft"	0.0454749
walnut	0.0454587
coca	0.0453914
"Electronic Frontier Foundation"	0.0453466
eel	0.0452391
gingko	0.0450058
matzoh	0.0448658
earthworm	0.0447634
shellfish	0.0446952
Quince	0.0446184
"New Party"	0.0445795
mango	0.044577
cherub	0.0445542
pumpkin	0.0444691
"Handgun Control"	0.0443469
"Iraqi National Congress"	0.0442246
Meteor	0.0442015
pineapple	0.0442002
coconut	0.0441863
e-BOOKS	0.0441765
ragweed	0.044075
"Orange Order"	0.0438981
GOPAC	0.0436066
pear	0.0432211
kibbutz	0.043215
telomerase	0.0431872
weevil	0.0430702
seedling	0.0429961
"National Alliance"	0.0429941
clove	0.042986
ginkgo	0.0428935
"National Research Council"	0.042801
paintbrush	0.0427947
pup	0.0427675
"Real IRA"	0.0427073
crustacean	0.0426532
"Anti-Defamation League"	0.0426494
TIAA-CREF	0.0425598
"International Rescue Committee"	0.0425277
"Institute of Medicine"	0.0424806
"Sierra Club"	0.0421815
Bessette	0.0421358
Mensa	0.0421217
toffee	0.0420813
Oxfam	0.041999
Dreyfus	0.041991
"Family Research Council"	0.0419606
"sweet potato"	0.0419358
quasar	0.0416919
Fillmore	0.0416233
alfalfa	0.0415615
watermelon	0.0415344
shamrock	0.0415217
"man's body"	0.0415075
"National Democratic Alliance"	0.0414801
"Cuban American National Foundation"	0.0414429
wildflower	0.0414313
foliage	0.0413089
IAI	0.0412618
maggot	0.0411703
"high street"	0.041163
maize	0.0408668
lemon	0.0408651
"Commission on Presidential Debates"	0.0408268
"electric current"	0.0407635
Wheaties	0.0407459
pea	0.0406795
"Sam Rainsy Party"	0.0406418
"jelly bean"	0.0405652
sturgeon	0.0405224
"Congressional Black Caucus"	0.0403829
"American Association of Health Plans"	0.0403404
"District Council"	0.0402391
Forrester	0.040226
cassava	0.0400587
"blood cell"	0.0400069
"GTE Corp."	0.0400039
))
(acoustic (desc 6326.03) (sims
"acoustic guitar"	0.101003
ventilation	0.0819569
Lighting	0.0812705
"ventilation system"	0.0727933
"camera angle"	0.0716314
"sound system"	0.0694748
eyesight	0.0647056
forensics	0.0633242
marksmanship	0.0615419
"quality control"	0.0608491
conditioning	0.0604549
"coaxial cable"	0.0598853
air-conditioning	0.0597265
signage	0.058684
cello	0.0581362
prognosis	0.0579196
"teaching method"	0.0575798
visuals	0.0575563
umpiring	0.0571374
guitar	0.0570322
piano	0.0568244
"golf game"	0.0555846
sanitation	0.0555129
ergonomics	0.0553749
shui	0.0550283
banjo	0.0549011
penmanship	0.0545224
footwork	0.0544989
SDH	0.0536623
acoustics	0.0531728
diction	0.0525927
Filtration	0.0524162
drainage	0.0523244
"night vision"	0.0512271
mime	0.0511067
clarinet	0.0510293
sonar	0.0506713
craftsmanship	0.0505782
imaging	0.0504164
cryptography	0.050353
record-keeping	0.0494786
"traffic control"	0.0492722
"growth prospect"	0.0491545
"sense of smell"	0.04914
"ball club"	0.0488555
"inventory control"	0.0488225
"propulsion system"	0.0487001
instrumentation	0.0486587
Sax	0.0485074
aerodynamics	0.0484149
Chemistry	0.0481446
"urban planning"	0.047751
keyboard	0.047258
"safety feature"	0.0472348
afterburner	0.047
logistics	0.0469607
"quality of life"	0.0468595
"mental health"	0.0467384
visibility	0.0466814
remoteness	0.0464345
refrigeration	0.0464307
counterterrorism	0.0462562
"weather forecasting"	0.0460277
"musical score"	0.0459629
"fire alarm"	0.0459366
"special effect"	0.0458714
"customer service"	0.0457863
nutrition	0.045776
accordion	0.0457365
mechanic	0.0455339
stamina	0.0454273
Encryption	0.0453828
bagpipe	0.045276
ballclub	0.0452143
trombone	0.0452115
"choice of words"	0.0451019
electronics	0.0450957
texture	0.0450866
"circadian rhythm"	0.0448488
aperitif	0.0448195
sewerage	0.0447399
"singing voice"	0.0447167
percussion	0.0443528
"steel guitar"	0.0442944
harp	0.0442223
"electric guitar"	0.0441783
violin	0.0441578
"investment climate"	0.0437744
decor	0.0436987
reflex	0.0435885
"atom bomb"	0.0435877
mammography	0.0434043
composition	0.0432861
mandolin	0.0432346
"weather conditions"	0.043185
"computer operation"	0.0431679
instrumentalist	0.043141
sensing	0.0431228
choreography	0.0430782
ambience	0.0429682
"political relation"	0.0428565
heating	0.0428526
"response time"	0.0427668
"neutron bomb"	0.0426233
musicianship	0.0426006
harmonica	0.0425766
"sound effect"	0.0425675
landscaping	0.0425157
staging	0.0424791
teamwork	0.0423689
morale	0.0423529
algorithm	0.0422034
dining	0.0421241
flooring	0.0421196
baritone	0.0420699
editing	0.0420598
"test score"	0.0420587
recreation	0.0419767
melody	0.0419151
"business condition"	0.0419103
"environmental condition"	0.041807
automation	0.0417898
"bond rating"	0.0416985
maneuverability	0.0416827
"public transport"	0.0415828
repertoire	0.0415661
pacing	0.0415178
audio	0.0414581
"sanitary condition"	0.0414015
alignment	0.0411314
"tax collection"	0.0410993
"computer technology"	0.041061
bookkeeping	0.0408942
"fire control"	0.0408228
singing	0.0407691
intimacy	0.0406941
"radio telescope"	0.0406577
repertory	0.040581
synthesizer	0.0405338
archeology	0.0405203
ecology	0.0405087
"rock 'n' roll"	0.0404271
demographics	0.040213
officiating	0.0401823
ensemble	0.0400162
))
("acoustic guitar" (desc 3662.68) (sims
guitar	0.198607
banjo	0.1905
"electric guitar"	0.172207
clarinet	0.168109
harmonica	0.162701
"French horn"	0.160632
percussion	0.150339
trumpet	0.14176
"steel guitar"	0.139814
accordion	0.138263
trombone	0.135785
tuba	0.1354
saxophone	0.132499
cello	0.132459
harp	0.130187
oboe	0.129012
woodwind	0.128289
fiddle	0.127963
harpsichord	0.127868
Flute	0.121331
bagpipe	0.119377
violin	0.118149
cymbal	0.113544
Sax	0.109516
piano	0.109486
Bass	0.105095
acoustic	0.101003
lute	0.100769
drum	0.097668
mandolin	0.0958958
Marimba	0.0914798
keyboard	0.0778726
treble	0.0737883
melody	0.0725871
synthesizer	0.070346
Viola	0.0693824
Tabla	0.068683
Bongo	0.0677089
"oil lamp"	0.0651347
dulcimer	0.0642778
turntable	0.0631477
Trumpets	0.0631469
serenade	0.0631243
synthesizers	0.0620264
"audio CD"	0.0602521
baritone	0.0598115
vocals	0.0581426
orchestration	0.0578639
Scrooge	0.0565454
timbre	0.0559604
bagpiper	0.0559158
cappella	0.0532113
wailing	0.0530521
chord	0.0514053
"musical instrument"	0.0513845
"string quartet"	0.051311
Chime	0.0505076
dirge	0.0497577
riff	0.0489995
"airplane ticket"	0.0477972
"Amazing Grace"	0.0477091
amplifier	0.0474561
"walking stick"	0.0471593
"second fiddle"	0.046543
cellist	0.0463335
joysticks	0.0461031
minimalist	0.0455745
SDH	0.0455163
pinball	0.0446309
"sound effect"	0.0443284
uptempo	0.0437517
"telephone pole"	0.0436604
motherboards	0.043532
instrumentalist	0.0432386
Springbok	0.0431126
paintbrush	0.0427421
accompanist	0.0422318
inhaler	0.0411536
drumming	0.0410723
drumstick	0.041018
converter	0.0407364
karaoke	0.0405426
Lullaby	0.0402825
bluesy	0.0400997
"Star-Spangled Banner"	0.0400925
Afro	0.0400783
))
(acoustics (desc 1819.43) (sims
megaplexes	0.0532721
acoustic	0.0531728
spacing	0.052586
receptivity	0.0510945
"sanitary condition"	0.045564
inflection	0.044686
sextet	0.0445882
colours	0.0443065
eclecticism	0.0440117
analogue	0.0424229
X-@@	0.0417162
paucity	0.0416395
tracking	0.0405831
"sense of balance"	0.0404313
))
(ACP (desc 2446.99) (sims
eco	0.15464
SADC	0.127053
"Andean Group"	0.125307
"Group of Rio"	0.121863
OIC	0.12022
CPLP	0.118895
G@@	0.115706
WEU	0.115661
GCC	0.115471
"Andean Community"	0.115083
G-@@	0.112122
"Rio Group"	0.108354
Mercosur	0.108338
Baltic	0.100087
E.U	0.0999377
SAARC	0.0975055
"other eight"	0.0951197
IGAD	0.0949863
"Damascus Declaration"	0.0948238
OECD	0.0944636
KEDO	0.0939644
EAC	0.0930748
"Caribbean Community"	0.0920023
CAF	0.0916974
COMESA	0.0915023
JMC	0.0894477
NAM	0.0871079
CPV	0.0864541
D-@	0.0835232
OAU	0.083495
"Western European"	0.0826823
Ci	0.0825599
OPEC	0.0804547
ASEAN	0.0803467
G-@	0.0786041
ECOWAS	0.0780088
Forty-four	0.0776435
"East African Cooperation"	0.0775226
ASEM	0.0774386
"Warsaw Pact"	0.0765936
"Group of @@"	0.075874
Internet@	0.0751847
"Group of Seven"	0.0721106
Asia-Europe	0.0714553
CITES	0.070458
UPU	0.0704194
"Gulf Cooperation Council"	0.0693255
"Paris Club"	0.0679578
"South Asian"	0.0677094
"Central American"	0.0671879
"other six"	0.0668228
Thirty-three	0.0660364
ARF	0.065375
"Central Asian"	0.0652045
PTA	0.0651748
OAS	0.0647581
PASOK	0.0645899
"other nine"	0.0645889
"East European"	0.0645129
OCA	0.0644477
"Islamic Conference"	0.0637951
"Contact Group"	0.0636263
"pork barrel"	0.0630602
Alcorn	0.0624911
"Latin American"	0.0621717
ESCAP	0.0621592
PBA	0.0621388
Forty-two	0.0618566
Ecuadoran	0.0616977
UNEP	0.0616599
NARAL	0.0615183
LDCS	0.0613872
CGI	0.0611946
"Pacific Rim"	0.061022
"West African"	0.06031
pan-Arab	0.0602472
"Middle Eastern"	0.0600259
"Consultative Group"	0.0597007
Thirty-four	0.0596968
"Western European Union"	0.0593635
Pacifica	0.0590788
Kanu	0.0585166
CFA	0.058492
Isthmus	0.0584253
APEC	0.057993
"Eastern European"	0.0576627
FOMC	0.0576563
"other five"	0.0572988
Belarusian	0.0570662
UMNO	0.0568944
"Other @@"	0.0568685
G@	0.0565775
"European Community"	0.0565164
"East Asian"	0.0564921
"Arab League"	0.0564086
"European Council"	0.0561606
OSCE	0.0559689
ADB	0.0558157
SPF	0.055772
USOC	0.0554009
Renamo	0.0548213
commonwealth	0.0547565
PCC	0.0544569
"HKSAR Government"	0.054437
non-European	0.0542811
FTAA	0.0542033
"Southeast Asian"	0.0541774
Koreas	0.0539163
"other seven"	0.0538764
UNIDO	0.053825
ZCTU	0.0538149
"Group of Eight"	0.0537175
Fatah	0.0534106
CMAG	0.0532716
"North African"	0.0532192
"sewage disposal"	0.0532061
"Allied Pilots Association"	0.0529663
AEC	0.0529295
CEC	0.0523346
"Asia Pacific Economic Cooperation"	0.0520324
Thirty-nine	0.051678
"Alcoholics Anonymous"	0.0516258
ACWF	0.0515206
CWA	0.0514399
"machinists union"	0.0511717
UML	0.0510679
USAID	0.0510097
"wind power"	0.0505582
Shan	0.0505064
WFP	0.0503286
CBI	0.0503129
MTA	0.0503099
PATA	0.0502502
FAO	0.0502473
Slavic	0.0501777
ILO	0.0501605
GEF	0.0501436
AFL-CIO	0.0501423
CWC	0.0500937
"Council of Europe"	0.0499418
"Third World"	0.0499192
WEF	0.0498941
CalPERS	0.0498528
Non-governmental	0.0497523
"Non-Aligned Movement"	0.0494911
NIH	0.0494348
IEA	0.0494155
COSCO	0.0491361
"Asia-Pacific Economic Cooperation"	0.0489133
AFA	0.0489036
ROK	0.0488689
"Great Lakes Region"	0.0486872
"South American"	0.0485628
NEA	0.0485306
forty	0.0484897
"fish meal"	0.0482728
COSATU	0.0482088
"Main Events"	0.0479471
Chiquita	0.0478733
shipbuilding	0.0476185
RNC	0.0475856
"billion yuan"	0.0475387
Thirty-two	0.0475067
DNC	0.0471712
SCLC	0.0470493
SDH	0.047049
MII	0.0469708
UDF	0.0468181
Usenet	0.046666
"Costa Rican"	0.0466637
Elf-Aquitaine	0.0464304
SFC	0.0464077
"major power"	0.0463997
Eighteen	0.046276
"two key"	0.0462598
MPLA	0.0462549
Sixteen	0.0462407
UNICEF	0.0461902
Fourteen	0.0460361
APA	0.0460158
"other four"	0.0459992
"United Democratic Movement"	0.0459821
UNP	0.0459058
Thirty-six	0.0458079
"Quintana Roo"	0.0457845
"House Democrats"	0.0456975
BIE	0.0453677
IPU	0.0453621
Kedah	0.0453047
ODA	0.0449441
EC	0.0447403
"Lower Saxony"	0.0446564
"P&AMP;G"	0.0446558
UAW	0.0446462
Thirty	0.0446193
"District Council"	0.0445943
NGO	0.0445069
Hesse	0.0444882
OED	0.044217
"Business Council"	0.0441324
))
(acquaintance (desc 21669.2) (sims
friend	0.122541
co-worker	0.111795
classmate	0.103117
"family member"	0.0967949
colleague	0.091322
associate	0.0901122
girlfriend	0.0899922
admirer	0.0856951
neighbor	0.0823943
cousin	0.0817308
relative	0.0812584
stranger	0.0801744
schoolmate	0.0797778
buddy	0.0789709
"church member"	0.0766482
confidant	0.0719585
coworker	0.0716747
informant	0.0700959
"best friend"	0.0698618
roommate	0.0696724
spouse	0.0692733
PAL	0.0679605
"loved one"	0.0668458
comrade	0.0656784
subordinate	0.0653073
sister	0.0639635
boyfriend	0.0636147
chum	0.0632068
employee	0.0631777
client	0.0629754
aunt	0.062848
crony	0.0626176
aide	0.0623061
lover	0.0620758
confidante	0.0619224
companion	0.0611773
villager	0.0611347
priest	0.061126
"staff member"	0.0610432
supporter	0.0607494
teacher	0.0605941
exwife	0.0604599
publicist	0.060314
"young girl"	0.0601153
brother-in-law	0.059695
survivor	0.059445
fiancee	0.0594412
"Vernon Jordan"	0.0588879
doctor	0.0586467
staffer	0.0584746
"prison guard"	0.0584408
collaborator	0.0583005
nephew	0.0582938
granddaughter	0.05824
boss	0.0581565
exboyfriend	0.0580047
patron	0.0579011
businessman	0.0576256
brother	0.0576233
niece	0.0575984
well-wisher	0.0574432
activist	0.0574034
"police officer"	0.0570527
uncle	0.0569668
Kin	0.0567049
girl	0.0566878
stepdaughter	0.0566594
someone	0.0560083
journalist	0.0558846
Bos	0.0557888
teen-ager	0.055782
daughter	0.0554011
prostitute	0.0552484
"college student"	0.0550323
diplomat	0.0548922
mistress	0.0548331
restaurateur	0.05478
rabbi	0.0545367
sweetheart	0.0544211
teammate	0.0542702
policeman	0.0542108
mentor	0.0539549
insider	0.0537274
"board member"	0.0536261
Reader	0.0533931
physician	0.0533377
"Linda Tripp"	0.0530278
constituent	0.0529308
banker	0.0526846
fiance	0.0526072
"drug dealer"	0.0526061
guest	0.0525928
playmate	0.0525427
husband	0.052473
adversary	0.0524031
caller	0.0523434
parishioner	0.052288
nurse	0.0522111
folk	0.0521385
widow	0.0520635
critic	0.0520297
Attorney	0.0518029
"young man"	0.0515552
Currie	0.0515321
counselor	0.0515321
grandmother	0.0514104
in-law	0.0512835
follower	0.0512602
bodyguard	0.0509785
donor	0.0508587
"foster parent"	0.0508516
inmate	0.0508307
therapist	0.0507759
clerk	0.0507125
psychiatrist	0.0505988
ex-girlfriend	0.050379
accountant	0.0503773
teenager	0.0500429
adviser	0.0500013
ex-husband	0.0499028
Tripp	0.0497168
schoolteacher	0.0494618
"white man"	0.0494507
broker	0.0493763
mother-in-law	0.0493143
mourner	0.0493113
"faculty member"	0.0490543
sailor	0.0490341
elder	0.048901
contestant	0.0488696
countrymen	0.0487651
benefactor	0.0487441
"crew member"	0.0486897
editor	0.0486057
"little girl"	0.048444
"young woman"	0.0483831
"black woman"	0.0482564
"security guard"	0.0479988
grandparent	0.0479858
appointee	0.0478972
sitter	0.0478967
father-in-law	0.0478805
fisherman	0.047768
stockbroker	0.0477425
Sergeant	0.0477135
collector	0.0476866
co-conspirator	0.0476645
Alumni	0.0476267
operative	0.047514
listener	0.0473699
passerby	0.0472081
half-brother	0.0471661
employer	0.047091
onlooker	0.04707
shopkeeper	0.0469971
bystander	0.0469737
intern	0.0468957
informer	0.0468287
waitress	0.0467723
eyewitness	0.0466767
heir	0.0464917
familiarity	0.0464782
sister-in-law	0.04626
contributor	0.0462355
grandfather	0.0461704
"federal official"	0.0460606
assistant	0.046058
prisoner	0.0460042
prosecutor	0.0459615
landlord	0.0455813
juror	0.0455289
fellow	0.0455201
psychologist	0.0454293
grandson	0.0453596
bartender	0.0453302
"campaign worker"	0.04533
"real estate agent"	0.045256
principal	0.045225
accomplice	0.0451227
supervisor	0.0451012
pastor	0.0450919
Lewinsky	0.045057
enemy	0.0450297
scientist	0.0449964
sibling	0.044956
peer	0.0447997
Hijacker	0.04471
nun	0.0446974
Lieutenant	0.0445884
"old woman"	0.0445612
detective	0.0445508
protege	0.0445365
panelist	0.0442453
scholar	0.0442052
"Webster Hubbell"	0.0441627
"elected official"	0.044162
scout	0.044124
entrepreneur	0.0440905
administrator	0.0439102
musician	0.0438221
))
(acquiescence (desc 4208.96) (sims
assent	0.109127
consent	0.0861347
capitulation	0.083077
adherence	0.067015
reluctance	0.0667543
objection	0.0651803
acknowledgement	0.0640338
yielding	0.0633402
complicity	0.0627932
acceptance	0.0624958
"lip service"	0.0589273
connivance	0.0582028
passivity	0.0569938
"Prime Ministers"	0.0565778
unwillingness	0.0564174
"seal of approval"	0.0557439
antipathy	0.055141
concurrence	0.055126
comity	0.0536489
indifference	0.0531449
"green light"	0.0519878
encouragement	0.0500888
defiance	0.0490595
"change of direction"	0.0489405
"logistic support"	0.0485379
authorization	0.0482274
exoneration	0.0479674
permanence	0.047466
disapproval	0.0465193
"military capability"	0.046283
patronage	0.0461077
"tax income"	0.0455798
two-third	0.0455291
inaction	0.0455089
"sphere of influence"	0.045053
reassurance	0.0450414
incapacity	0.0449421
keenness	0.0445414
eagerness	0.0439796
adhesion	0.0436324
committment	0.0435844
distrust	0.043576
inattention	0.0433839
preamble	0.0433181
ire	0.0429568
obedience	0.0429289
murder-suicide	0.0425168
credence	0.0424264
"production ceiling"	0.0423792
sincerity	0.042312
apathy	0.0423019
laxity	0.0422942
"change of mind"	0.0422509
"Elena Dementieva"	0.0420872
impediment	0.0418113
intransigence	0.0416093
"Maria Butyrskaya"	0.0415207
"Svetlana Masterkova"	0.0414707
profligacy	0.0413377
"Pavel Tonkov"	0.0412827
supplicant	0.0411956
acknowledgment	0.0410658
imprimatur	0.0409594
addendum	0.0409442
wariness	0.0406626
adherent	0.0405907
legitimacy	0.04002
))
("acquired immune deficiency syndrome" (desc 1933.44) (sims
STDs	0.195695
"venereal disease"	0.187444
"sexually transmitted disease"	0.168105
"hepatitis B"	0.150986
"HIV/ AIDS"	0.149606
hepatitis	0.139144
leprosy	0.135481
"animal disease"	0.134839
tuberculosis	0.133874
"communicable disease"	0.132868
"respiratory disease"	0.132715
"dengue fever"	0.131872
"AIDS virus"	0.128759
cirrhosis	0.128434
"foot-and-mouth disease"	0.128008
"cardiovascular disease"	0.12644
lymphoma	0.126145
gonorrhea	0.126087
"drug addiction"	0.125281
jaundice	0.121671
malaria	0.12003
malignancy	0.116639
leukemia	0.116494
glaucoma	0.115244
"infectious disease"	0.114388
HIV	0.113757
Osteoporosis	0.112851
"juvenile delinquency"	0.11198
myeloma	0.110474
bronchitis	0.110274
Alzheimer	0.110018
ebola	0.108319
Rabies	0.107024
encephalitis	0.10699
Meningitis	0.106049
"skin cancer"	0.103992
"liver disease"	0.103212
HIV/AIDS	0.102503
"lead poisoning"	0.101158
"tooth decay"	0.0997694
pneumonia	0.0992969
diabetes	0.0983182
influenza	0.0980708
"food poisoning"	0.0973041
Tb	0.0969728
"cystic fibrosis"	0.0961915
aids	0.0960796
rollovers	0.0955863
infertility	0.0954734
blindness	0.0950147
gangrene	0.0947124
"Parkinson's disease"	0.0946145
dementia	0.0927594
"lung cancer"	0.0925039
pandemic	0.0919368
"Lyme disease"	0.0916875
"kidney disease"	0.0916639
cholera	0.0908533
trachoma	0.088763
"skin disease"	0.0887302
syphilis	0.0880983
"plant disease"	0.0880496
CJD	0.0879861
"eye disease"	0.0876277
"contagious disease"	0.0867327
"mental disorder"	0.0864357
anemia	0.0860371
"neurological disease"	0.085605
hypertension	0.0852846
Dysentery	0.0851796
"heart disease"	0.0851156
"Human Immunodeficiency Virus"	0.0843406
"acid rain"	0.0841899
deafness	0.0840265
rinderpest	0.0838831
"colon cancer"	0.0837948
Obesity	0.0833608
als	0.081655
O@@@:H@	0.0816371
syndrome	0.0808152
"typhoid fever"	0.079031
diarrhoea	0.0790006
Hantavirus	0.0779753
asthma	0.0779075
"AIDS patient"	0.0778676
melanoma	0.0775145
indigestion	0.0774849
carcinoma	0.0772065
BSE	0.076281
"drug abuse"	0.076193
malnutrition	0.0756947
polio	0.0755271
ulcer	0.0754421
Parkinson's	0.0747733
epilepsy	0.0743518
apnea	0.0742555
"water pollution"	0.0742318
atherosclerosis	0.0740015
"rheumatoid arthritis"	0.0734353
Dengue	0.0732845
diarrhea	0.0730065
"yellow fever"	0.0729219
nearsightedness	0.0727197
"heart failure"	0.0725291
psoriasis	0.0723704
"dust storm"	0.0702825
malformation	0.0702138
"common cold"	0.0702048
anorexia	0.0696773
frostbite	0.069639
"high blood pressure"	0.0693232
hemophilia	0.0692953
"malignant tumor"	0.0688902
subsidence	0.0682301
"heroin addiction"	0.068175
canker	0.0680706
typhoid	0.0680435
impotence	0.0678854
encephalopathy	0.0673808
osteoarthritis	0.0673778
retardation	0.0673767
sickness	0.0672118
flu	0.0669137
"memory loss"	0.0666766
"congestive heart failure"	0.0666497
famine	0.0665645
Alcoholism	0.0665277
Indiscipline	0.066464
deformity	0.0663049
measles	0.0660319
"multiple sclerosis"	0.065557
"muscular dystrophy"	0.0654948
dehydration	0.0651802
sterility	0.0651363
cataract	0.0649634
botulism	0.0646819
migraine	0.0645992
desertification	0.06446
"child abuse"	0.0639883
fibrillation	0.0639853
poisoning	0.0636005
hernia	0.0634464
anthrax	0.0627591
insomnia	0.0627439
underdevelopment	0.0626821
narcolepsy	0.0625652
miscarriage	0.0624027
"numbers game"	0.0623054
emphysema	0.0622232
hemorrhage	0.0620745
acne	0.0611854
salmonella	0.0611777
herpes	0.061081
"kidney stone"	0.0610533
arthritis	0.0608553
inundation	0.0606828
heartburn	0.0603833
Chlamydia	0.060363
"manic depression"	0.06008
"West Nile"	0.0598826
"blood clot"	0.0595816
clot	0.0592196
angina	0.0584264
dioxins	0.0583877
SIDS	0.0583267
"price fluctuation"	0.0579586
defoliant	0.0578475
Lyme	0.0577462
smallpox	0.0577278
inflammation	0.057641
poliomyelitis	0.0571559
"dog bite"	0.0569255
overconfidence	0.0564109
malady	0.056382
Addiction	0.0560511
"soil erosion"	0.0554783
Burnout	0.0549784
incontinence	0.0548688
thyroid	0.0546422
"elephant population"	0.0544724
"bubonic plague"	0.0543331
"ice crystal"	0.0542457
urination	0.0536939
mortality	0.0532462
"heat exhaustion"	0.053028
allergy	0.0530258
infanticide	0.0527272
"Greek Orthodox Church"	0.0526427
schism	0.0526409
autism	0.0523839
malfeasance	0.0523117
"safety problem"	0.0521872
"mental illness"	0.0519893
homelessness	0.0519872
"brain tumor"	0.0516564
coli	0.0514896
"moral hazard"	0.0512419
"Dianchi Lake"	0.0512002
"hepatitis A"	0.050789
backsliding	0.0507756
))
(acquirer (desc 2568.92) (sims
"job candidate"	0.114298
wrongdoer	0.0994083
adulterer	0.0985914
ENTREMED	0.0945188
tacklers	0.085923
Stealers	0.0840531
"white elephant"	0.0840157
suitor	0.0836634
"takeover target"	0.0833029
"Pacific Century"	0.0820142
Checkfree	0.0760438
"white knight"	0.0745759
divestitures	0.0738052
TELLABS	0.0733069
trespasser	0.0729566
"home buyer"	0.0723899
Aegon	0.0723526
Ciena	0.0718652
McKesson	0.0712166
Cendant	0.0705826
XYLAN	0.0697831
"First Union"	0.0692181
"J&AMP;J"	0.0688662
"Thomson CSF"	0.0685797
NiSource	0.067764
ALZA	0.0667495
WPP	0.0666943
Litton	0.0664223
purchaser	0.066097
PictureTel	0.0658108
consortia	0.0656494
bidder	0.0650485
SGI	0.0645177
cog	0.0645131
renter	0.0642992
businesswomen	0.0642573
immortal	0.0636644
homebuyers	0.0636204
underwriter	0.0633407
Emulex	0.0630533
MiniMed	0.0628084
litigant	0.0626455
closers	0.062307
Starwood	0.0622563
"child molester"	0.062013
shoplifter	0.0619403
"attack dog"	0.0619184
REITs	0.0618465
"National Grid"	0.0615276
Bestfoods	0.0613939
spender	0.0613207
"robbery suspect"	0.0612454
"television star"	0.0610149
kindergartners	0.0609654
highflier	0.0609415
"pain in the neck"	0.0607844
enlistee	0.0607287
hotspots	0.0605513
GANNETT	0.0604847
eavesdropper	0.0604598
"flash point"	0.0604117
CMGI	0.0601474
"foster parent"	0.0596811
"Global Crossing"	0.0594738
"Achilles' heel"	0.059435
up-front	0.0594278
rebounders	0.0590917
paramour	0.058799
"hot stock"	0.0587254
"auto maker"	0.0587115
playmakers	0.0585695
defaulter	0.0582461
violator	0.0580827
recruiting	0.0579841
heretic	0.0578864
Agilent	0.0575289
Broadcast.com	0.0575011
"agenda item"	0.0574561
enabler	0.0574507
vote-getters	0.0573852
"ball club"	0.0572451
tenant	0.0569993
"Network Solutions"	0.0567184
"guitar player"	0.0567074
UAL	0.0566333
issuers	0.0566007
entrant	0.0565995
iVillage	0.0562996
Seagram	0.056266
GEC	0.0562591
Telefonica	0.0562182
RJR	0.0562007
"ABN AMRO"	0.0561554
NORTHROP	0.0560368
supplicant	0.0560146
UAM	0.0558362
"Boston Scientific"	0.0557586
AutoNation	0.0557057
Sunbeam	0.0555453
pluses	0.0554569
BCE	0.055147
theglobe.com	0.0550744
endorser	0.0548651
"pen pal"	0.054785
Sepracor	0.054776
insulator	0.0547696
Totalfina	0.0547009
benefactor	0.0544918
peacemaker	0.0543696
Healtheon	0.0541102
Occidental	0.0539898
Genzyme	0.053936
giver	0.0538708
vaulter	0.0537726
"Northern Telecom"	0.0536578
Philanderer	0.0534741
ExciteAtHome	0.0534042
Webvan	0.0531649
Halliburton	0.0530411
BellSouth	0.0529488
communicator	0.0528224
major-leaguers	0.0527087
"Learning Co."	0.0526757
Rapist	0.0522957
franchisees	0.0521359
BankAmerica	0.0518629
boob	0.0517941
polluters	0.0517771
moneymaker	0.0516936
"card holder"	0.0515838
agglomeration	0.051555
"risk taker"	0.0514841
"R Block"	0.0511983
"KCP&AMP;L"	0.0511826
"cable operator"	0.0510681
Litigator	0.050999
"RJR Nabisco"	0.0509109
"Seagram Co."	0.0508543
student-athlete	0.0508366
purveyor	0.0508264
"big leaguer"	0.0508262
"Old Trieste"	0.0508251
multimillionaires	0.0508157
troublemaker	0.05081
stronger	0.0507837
transsexual	0.0507639
hostage-takers	0.0506076
Vivendi	0.0503457
cheater	0.0503158
harder	0.0502395
aggressor	0.0501585
allergen	0.0500927
"U.S. Trust"	0.0499653
Omnicom	0.0498431
"Phelps Dodge"	0.0498035
"Internet Service Providers"	0.0496684
reseller	0.0496489
"black person"	0.0495258
"American Home"	0.0495211
newest	0.0494348
deportee	0.0494191
Clorox	0.0494152
"powder keg"	0.0493762
Olympian	0.0493521
Danka	0.0492615
lawbreaker	0.0492503
downsides	0.0491663
"major leaguer"	0.0491235
"Waste Management"	0.0490742
TYCO	0.0490278
spoiler	0.049026
ETrade	0.0490235
"TV star"	0.0489955
"No. @s"	0.0489212
"good Samaritan"	0.0489016
Berkshire	0.0488997
NatWest	0.0488766
Norwest	0.048841
pursuer	0.0487415
DEADBEAT	0.04872
abortionist	0.0487111
privatizations	0.0486516
"blood donor"	0.0485786
militarization	0.0485588
Penney	0.0484706
Shangri-la	0.0484518
"HBO &AMP; Co."	0.0483775
"car maker"	0.04832
"electronics company"	0.0482834
marketers	0.0482492
"viewing audience"	0.0482376
divestiture	0.0482073
"Hambrecht &AMP; Quist"	0.0482037
perjurer	0.0481975
Corel	0.0481897
"market maker"	0.048111
Mattel	0.0481084
Petrofina	0.0480917
"Member States"	0.0480735
laughingstock	0.0479894
))
(acquisition (desc 102851) (sims
purchase	0.245151
merger	0.23919
takeover	0.222364
buyout	0.183576
deal	0.143603
sale	0.142883
expansion	0.130038
investment	0.122049
transaction	0.11947
reorganization	0.117331
Privatization	0.116189
consolidation	0.1134
share	0.10704
operation	0.106495
transfer	0.105717
development	0.10175
move	0.099947
restructuring	0.0999268
layoff	0.0994194
project	0.0993028
reduction	0.0981828
stock	0.0978047
"chief executive"	0.0977344
"joint venture"	0.0974409
offer	0.096571
swap	0.0963685
plan	0.096289
business	0.0958901
offering	0.0956914
"initial public offering"	0.0951457
venture	0.0949512
trade	0.0943367
bailout	0.0936789
strategy	0.0935171
change	0.0930565
growth	0.0924643
announcement	0.0916115
IPO	0.0915893
settlement	0.0912569
renovation	0.0908261
construction	0.0895254
reform	0.0893352
deregulation	0.088319
initiative	0.0877783
partnership	0.0876898
ownership	0.0871108
"tax cut"	0.0866412
spending	0.086434
bid	0.0862598
Promotion	0.0861168
improvement	0.0856244
creation	0.0853786
profit	0.0853272
increase	0.0853024
program	0.0852137
hiring	0.0847434
withdrawal	0.0845486
cut	0.0843633
technology	0.0840903
"job cut"	0.0839897
cutback	0.0834544
asset	0.0832346
divestiture	0.082276
shareholder	0.0820747
closure	0.0820495
effort	0.0819793
management	0.0819039
research	0.0818697
earnings	0.0815008
recovery	0.0813117
"hostile takeover"	0.0812598
integration	0.0812248
agreement	0.0811364
marketing	0.0808877
loan	0.0806371
"takeover bid"	0.0800188
decision	0.0798839
deployment	0.0798745
activity	0.0796134
financing	0.0795409
contract	0.0792708
introduction	0.0790082
revenue	0.0789565
distribution	0.0788945
Liberalization	0.0785554
addition	0.0781051
combination	0.0780636
gain	0.0780624
spinoff	0.0778657
price	0.077606
company	0.0773623
bankruptcy	0.0772886
application	0.0772416
overhaul	0.0772254
restoration	0.0771695
Advertising	0.0771402
upgrade	0.0771379
"rate cut"	0.0769989
release	0.0769937
relocation	0.0768187
proposal	0.0766599
liquidation	0.076548
measure	0.0761302
"rate increase"	0.0757431
auction	0.0756656
unit	0.0756192
package	0.0754642
launch	0.0754641
devaluation	0.0753269
participation	0.0752179
downsizing	0.0749858
policy	0.0748843
signing	0.0748003
action	0.0747412
Alliance	0.074615
subsidiary	0.0745961
recapitalization	0.0745138
innovation	0.0743673
buying	0.074136
procurement	0.0737592
legislation	0.0733974
departure	0.0733749
service	0.0733735
production	0.0733436
fund	0.0732161
breakup	0.0731071
"name change"	0.0730568
cleanup	0.0730474
"stock split"	0.0730053
performance	0.0729583
payment	0.0729278
Implementation	0.0729017
scheme	0.0723887
arrangement	0.0722747
"cost cutting"	0.0722716
export	0.0721396
lawsuit	0.0720976
success	0.0719224
loss	0.0716927
intervention	0.0714167
hike	0.071205
product	0.071094
adoption	0.0710217
holding	0.0710201
"earnings report"	0.0710065
lease	0.0707673
seizure	0.0707627
entry	0.0707571
return	0.0706346
transformation	0.0704946
donation	0.0704207
appointment	0.0702372
conversion	0.0698277
"bond issue"	0.0696881
"price increase"	0.0696111
cost	0.0694711
lending	0.0693561
shutdown	0.0692054
"expansion plan"	0.0690892
disclosure	0.0687646
discovery	0.0686835
employment	0.0685632
sponsorship	0.0682476
"rate hike"	0.0680823
investigation	0.0679496
budget	0.0679476
planning	0.0679308
market	0.0677936
resettlement	0.0677291
system	0.0676644
removal	0.0676449
testing	0.0675475
defection	0.0674615
repair	0.0671531
establishment	0.0671
cancellation	0.0670775
customer	0.0670107
modernization	0.0669391
decline	0.0668944
election	0.0668796
revision	0.0666146
cooperation	0.0666139
exercise	0.0664897
borrowing	0.0662952
funding	0.0662864
debt	0.0662847
exploration	0.0660263
employee	0.0659831
turnaround	0.06592
adjustment	0.0656654
surge	0.0656349
network	0.0655169
listing	0.0654235
retirement	0.0653103
extension	0.0651998
presence	0.0649964
failure	0.0648352
maintenance	0.0647063
treatment	0.0645646
campaign	0.0644705
))
(Acquittal (desc 21584.3) (sims
verdict	0.148846
conviction	0.146607
impeachment	0.112183
trial	0.110672
Dismissal	0.109568
mistrial	0.10383
indictment	0.103009
arrest	0.102917
censure	0.0992974
retrial	0.0980705
resignation	0.0964601
ouster	0.0962117
rejection	0.0905546
"murder conviction"	0.0900512
removal	0.0879873
sentence	0.0875958
ruling	0.0873918
court-martial	0.0871292
expulsion	0.0823547
slaying	0.0811504
prosecution	0.0807427
exoneration	0.0798112
ratification	0.0781257
"rate cut"	0.076854
outcome	0.0755422
arraignment	0.0749631
sentencing	0.0748872
killing	0.07381
passage	0.0737292
refusal	0.0736635
extradition	0.0719943
appointment	0.0712241
reversal	0.0708053
murder	0.0705976
pardon	0.0702956
judgment	0.0701975
postponement	0.0698172
confirmation	0.0696732
reelection	0.0695815
demise	0.0693709
veto	0.0682156
imprisonment	0.0679144
repeal	0.0673977
reinstatement	0.0667604
plea	0.0663689
overthrow	0.0662926
detention	0.0661284
hearing	0.0660179
cancellation	0.0659791
proceeding	0.0657599
firing	0.0657061
breakup	0.0654239
injunction	0.0653651
announcement	0.06496
assassination	0.0641387
failure	0.0639034
lifting	0.0638522
approval	0.063242
"death penalty"	0.0630195
"court martial"	0.0629341
intervention	0.0627509
leniency	0.0627478
deliberation	0.06255
"finding of fact"	0.0622979
jury	0.0622292
testimony	0.062215
defection	0.0620246
"prison term"	0.0616109
dissolution	0.061369
"rate increase"	0.0609128
departure	0.0608328
takeover	0.06061
Innocence	0.0605408
disclosure	0.0601354
shooting	0.0601189
disqualification	0.0599868
revelation	0.059908
finding	0.0598439
Execution	0.0595825
withdrawal	0.0591604
"statute of limitations"	0.0590624
"trade bill"	0.0589407
jailing	0.0586701
bail	0.0586662
closure	0.0586278
suspension	0.0585834
inquiry	0.0583449
"prison sentence"	0.0578966
punishment	0.0578465
"price increase"	0.0578335
signing	0.0578271
PNTR	0.0569557
shutdown	0.0567861
easing	0.0565913
confession	0.0563515
deportation	0.0563067
nomination	0.055853
coup	0.0556457
conclusion	0.0554367
seizure	0.0554214
massacre	0.0554185
bombing	0.0553099
incident	0.0552575
rebuke	0.0552247
"legal representation"	0.0551268
parole	0.0550321
"sudden death"	0.0549337
acceptance	0.0548213
raid	0.0547104
reshuffle	0.0544862
devaluation	0.0543738
admission	0.0537656
scandal	0.053441
endorsement	0.0531023
assault	0.0530297
resumption	0.0529555
incarceration	0.05287
"defense team"	0.0528548
amnesty	0.0527994
"murder charge"	0.0527118
resolution	0.0524432
Declaration	0.0523882
compromise	0.0522727
candidacy	0.0520262
manslaughter	0.0520226
filing	0.0519058
abolition	0.0517699
perjury	0.0517469
disappearance	0.0515902
reprimand	0.0514515
denial	0.0514371
tragedy	0.0513381
airstrikes	0.0512963
clemency	0.0510188
judgement	0.0509835
emergence	0.0509773
"surprise resignation"	0.0508823
"budget cut"	0.0507669
divorce	0.0507273
debacle	0.0506919
independence	0.0505312
outbreak	0.0505037
settlement	0.0504428
renewal	0.0503472
absentia	0.0502714
selloff	0.0502431
sacking	0.0501419
lawsuit	0.0499403
"turn of events"	0.0499309
hike	0.0498601
questioning	0.049849
secession	0.0498283
accusation	0.0498088
adoption	0.0497395
deregulation	0.049681
inaction	0.0496512
allegation	0.0496379
invasion	0.0495466
moratorium	0.0493801
downfall	0.0492435
"rate hike"	0.048836
"O.J Simpson"	0.0488332
annulment	0.0488012
setback	0.048644
spate	0.0486425
"market correction"	0.0485166
culpability	0.0485032
involvement	0.0483241
"police action"	0.0482155
inclusion	0.0482039
discovery	0.0481601
imposition	0.0481507
"military action"	0.0481033
recommendation	0.0479381
turnabout	0.0478325
overhaul	0.0477302
Senate	0.0476421
forfeiture	0.0475727
exodus	0.0475246
reconsideration	0.0473645
custody	0.0473267
"arrest warrant"	0.047214
escalation	0.0471271
deployment	0.0470747
"legal action"	0.047058
sell-off	0.0470014
pullout	0.046986
amendment	0.0468275
extension	0.0467333
catastrophe	0.046661
retirement	0.0465712
fate	0.0464015
arrival	0.0463858
merger	0.0463346
statehood	0.0463164
condemnation	0.0461935
assertion	0.0461692
abduction	0.0460632
guilt	0.045972
boycott	0.0459186
))
(acre (desc 31534.1) (sims
hectare	0.190925
"about @,@@@ acres"	0.157242
"more than @@,@@@ acres"	0.152135
"more than @,@@@ acres"	0.146462
"about @@@,@@@ acres"	0.13972
"more than @@@,@@@ acres"	0.139462
"about @@,@@@ acres"	0.13889
"more than @,@@@ hectares"	0.132485
"about @@@ acres"	0.128605
"more than @@@,@@@ hectares"	0.127861
acreage	0.125024
ha	0.124801
tract	0.122518
"more than @@,@@@ hectares"	0.122314
"about @@@,@@@ hectares"	0.119984
"About @@,@@@ hectares"	0.118924
"million acres"	0.106492
expanse	0.104124
parcel	0.0951126
"more than @@@ hectares"	0.0936634
land	0.0917794
farmland	0.0912243
kilometre	0.0897119
"over @,@@@ hectares"	0.0890173
forest	0.0883797
kilometer	0.0880205
sq.km	0.0873848
"square mile"	0.0854816
farm	0.0805005
sq.m	0.0777797
patch	0.07715
mile	0.0762598
"square meter"	0.0749122
ton	0.0745591
property	0.0726174
km	0.0722231
swath	0.0710953
sapling	0.0685921
crop	0.0683313
bushel	0.0679877
Pound	0.0679188
feddans	0.0677702
tree	0.0669838
hillside	0.0666702
plantation	0.0663885
seedling	0.0656232
Rai	0.0654038
Grove	0.064214
ranch	0.0635132
inch	0.0632014
garden	0.0628223
feet	0.0626676
vegetation	0.0620457
plot	0.0615878
pasture	0.061454
"parcel of land"	0.0612521
grassland	0.0602059
yard	0.0598458
piece	0.0582508
landscape	0.0578795
"piece of land"	0.0571531
tonne	0.0564938
hill	0.0564812
planting	0.0561914
estate	0.05617
ecosystem	0.0560556
kg	0.0558314
Vista	0.0557313
Vineyard	0.055727
woodland	0.0557128
bale	0.055691
chunk	0.055668
campsites	0.0555771
grower	0.0555716
"season ticket"	0.0555102
wilderness	0.0554281
specie	0.0553735
vine	0.0548775
park	0.0546029
hilltop	0.0544844
lawn	0.0544408
dwelling	0.0541022
truckload	0.0539826
stalk	0.0532259
paddy	0.0530627
meadow	0.053062
"mobile home"	0.0529638
Kilogram	0.05289
beach	0.05267
cultivation	0.0523817
grass	0.052269
subscriber	0.0521886
reservoir	0.0521079
mountain	0.052097
household	0.0519051
soil	0.0517998
flats	0.0514436
lake	0.0513736
inhabitant	0.0511106
slope	0.0505965
shrub	0.0505148
"land mine"	0.0504313
lagoon	0.0502316
"parking space"	0.0496378
pile	0.0496116
"Iraqi POWs"	0.0495653
terrain	0.0495336
amount	0.0494971
variety	0.0493947
village	0.0493126
space	0.0490009
"golf course"	0.048833
gallon	0.0483116
farmer	0.0475759
orchard	0.0474018
cattle	0.0473883
copy	0.0471094
island	0.0470853
ounce	0.0470621
"private property"	0.0469873
pond	0.0469301
layer	0.0467262
valley	0.0464331
"Sri Lankans"	0.0464233
barn	0.0463538
tent	0.0462578
wetlands	0.0462485
landmines	0.0461753
Livestock	0.046174
moat	0.0461338
cottage	0.0461213
parkland	0.0461006
desert	0.0460158
firefighters	0.0458597
"sand dune"	0.0458536
artifact	0.0457721
fragment	0.0455039
prairie	0.0454309
Warehouse	0.0454237
apartment	0.04541
mountainside	0.0453629
Villa	0.0452457
Beijingers	0.0452141
portion	0.0451217
flower	0.0449613
enrollee	0.0449338
reservist	0.044862
hundred	0.0447829
habitat	0.0447096
percent	0.0445533
animal	0.0444912
cluster	0.0444285
homeless	0.0443841
slab	0.0443154
plateau	0.0442508
swatch	0.0442248
tractor	0.0441808
cabin	0.0440994
mine	0.0438699
"phone line"	0.0437263
wasteland	0.0437016
bluff	0.043611
clump	0.0435896
wildlife	0.0435862
plain	0.0435688
subdivision	0.0435659
corridor	0.0435029
harvest	0.0433665
upkeep	0.0433565
countryside	0.0433278
"office building"	0.0432693
mourner	0.043181
"national monument"	0.0431765
"vacant lot"	0.0431651
sack	0.0431528
gram	0.043082
timber	0.0430736
barrel	0.043038
quantity	0.0429808
"cultivated land"	0.0429048
brick	0.0428584
"gas station"	0.0428379
ridge	0.042806
Ukrainians	0.0427101
corner	0.0427055
hog	0.0426846
condominium	0.0426082
"real estate"	0.0425477
condo	0.042538
enclave	0.0425077
mansion	0.0424954
slice	0.0424339
"small town"	0.0423454
pine	0.0423133
"hot spring"	0.0423089
carpet	0.0422845
"polling place"	0.042265
"oil well"	0.0422147
schoolchildren	0.0421894
location	0.0421548
))
(acreage (desc 21190.6) (sims
"more than @,@@@ hectares"	0.15817
output	0.150439
"land area"	0.150296
"more than @@@,@@@ hectares"	0.149827
ha	0.148065
"About @@,@@@ hectares"	0.140588
farmland	0.138753
"more than @@,@@@ hectares"	0.137258
crop	0.137137
cultivation	0.135996
"about @@@,@@@ hectares"	0.128384
harvest	0.126415
acre	0.125024
"cultivated land"	0.124907
planting	0.12081
yield	0.120255
"over @,@@@ hectares"	0.119991
"more than @@@ hectares"	0.110604
consumption	0.107027
seedling	0.105785
hectare	0.104538
land	0.103955
"about @@,@@@ acres"	0.103232
grower	0.102509
GDP	0.101972
"gross national product"	0.100884
"about @,@@@ acres"	0.0998927
"more than @,@@@ acres"	0.0996583
"labor force"	0.098465
"export sale"	0.0967178
GNP	0.0965149
"oil production"	0.0955
production	0.0952158
"gross domestic product"	0.0951262
"personal income"	0.0948715
"bank rate"	0.0938156
"elephant population"	0.0937704
enrollment	0.0934881
"production cost"	0.0934147
export	0.0926929
"tax revenue"	0.0925242
"birth rate"	0.0921406
"money supply"	0.0915705
plantation	0.0911681
workforce	0.0910132
import	0.0909353
caseload	0.0897255
"national income"	0.0889742
"more than @@@,@@@ acres"	0.0881982
"about @@@,@@@ acres"	0.0869203
"budget deficit"	0.085688
"futures price"	0.0855999
"production capacity"	0.0853201
expenditure	0.0852147
stockpile	0.0847927
"retail sale"	0.0835465
"work force"	0.0831068
"purchase price"	0.0827689
"operating expenses"	0.0825984
"labor cost"	0.0819841
inventory	0.0816891
"vehicle sale"	0.0815589
"poverty rate"	0.0812991
"about @@@ acres"	0.0811075
"million acres"	0.0810471
NPLs	0.0809179
"fertility rate"	0.0808674
reserve	0.0803145
"market share"	0.0801071
"steel production"	0.0798919
"trade deficit"	0.0796751
"inflation rate"	0.0796313
grain	0.0794928
volume	0.078683
"operating cost"	0.0783826
"truck sale"	0.0782942
income	0.0782235
supply	0.0779043
"growth rate"	0.0778575
"surface area"	0.0776682
productivity	0.0775445
"more than @@,@@@ acres"	0.0773629
"crime rate"	0.0771339
"trade surplus"	0.0768505
"tax income"	0.0757997
"take-home pay"	0.0757868
"insurance premium"	0.0757856
sapling	0.075457
"retail price index"	0.0751206
tract	0.0750957
stalk	0.0750505
"selling price"	0.0750146
farm	0.0747387
ridership	0.0744415
"defense budget"	0.0742943
amount	0.074226
seed	0.0738638
caseloads	0.0732193
revenue	0.073139
intake	0.0729247
soybean	0.0729189
quota	0.0729084
"retail price"	0.0728225
"earning per share"	0.0727452
Tonnage	0.0723528
cotton	0.0719146
rainfall	0.0713081
"medicare payment"	0.0712036
"unemployment rate"	0.0710712
population	0.0702983
"voter turnout"	0.0702889
"Official Development Assistance"	0.0700827
irrigation	0.0698238
outlay	0.0696645
wheat	0.0691555
farmer	0.0691554
"life expectancy"	0.0689662
capacity	0.0689029
variety	0.0688003
sugarcane	0.068486
spending	0.0684185
"tax base"	0.068019
"mortality rate"	0.0677684
inflow	0.0669948
"mortgage rate"	0.066953
"pretax profit"	0.0668756
capitalization	0.0668243
lending	0.0668072
"living space"	0.0667061
payroll	0.0667025
shipment	0.0667004
forest	0.0665795
"foreign direct investment"	0.0665295
earnings	0.066403
emission	0.0661798
cropland	0.0658797
grassland	0.0658386
"marketing cost"	0.065781
"tax rate"	0.0655938
"factory order"	0.0655362
farming	0.0654731
subsidy	0.0654226
"asset value"	0.0653752
FDI	0.0653745
"profit margin"	0.0650211
incidence	0.0638518
"home sale"	0.0636337
"coca crop"	0.0633781
"consumption tax"	0.063361
vegetation	0.0632294
allotment	0.0632026
"consumer price index"	0.0631957
unemployment	0.063186
"net income"	0.0630987
coca	0.0629305
deficit	0.0627583
"amount of money"	0.0626611
density	0.0625638
quantity	0.0624906
"tax collection"	0.0623898
viewership	0.0618717
"water supply"	0.0617688
"non-performing loans"	0.0616021
remittance	0.0614001
"operating budget"	0.0611743
"property tax"	0.061171
corn	0.0609303
availability	0.060875
surplus	0.0607248
resource	0.0605873
enrolment	0.0604158
"rate of inflation"	0.0603458
"consumer credit"	0.0603158
"producer price"	0.0603126
mortality	0.0601191
"paddy field"	0.0598755
ratio	0.0596579
deposit	0.059647
"occupancy rate"	0.0595305
allocation	0.059525
"market value"	0.05946
fertility	0.0592387
employment	0.0591632
specie	0.0584746
"labor pool"	0.0583648
"Social Security benefit"	0.0580774
"gas price"	0.058072
profit	0.0579551
inflation	0.0578594
paddy	0.0578023
picker	0.0575551
importation	0.0575002
"capital expenditure"	0.0573498
joblessness	0.0573219
precipitation	0.0572716
"import duty"	0.0572654
"electronics industry"	0.0572038
"net profit"	0.0570949
"air pollution"	0.057001
backlog	0.0569948
))
(acrimony (desc 7285.03) (sims
rancor	0.196707
bitterness	0.149622
discord	0.136905
animosity	0.131738
mistrust	0.126824
recrimination	0.124489
"ill will"	0.122935
"bad blood"	0.119148
bickering	0.114806
antagonism	0.111729
finger-pointing	0.111021
wrangling	0.10918
rift	0.108386
enmity	0.108344
distrust	0.105807
dissension	0.103883
partisanship	0.101782
tension	0.0986863
resentment	0.0974723
friction	0.0966429
confusion	0.0959238
squabble	0.091038
disagreement	0.090588
negativity	0.0879999
bullishness	0.087018
hostility	0.0864157
polarization	0.0862836
divisiveness	0.0862612
discontent	0.0852848
unease	0.0848159
feud	0.084802
jealousy	0.08333
haggling	0.0832535
controversy	0.0831345
anxiety	0.0825276
frustration	0.0822903
nervousness	0.0821032
rivalry	0.0818667
restlessness	0.0816036
hatred	0.0814047
uneasiness	0.081333
pessimism	0.07974
schism	0.0794021
deadlock	0.0785147
skepticism	0.0784825
uncertainty	0.0771974
strife	0.0767388
nastiness	0.0764526
furor	0.0760608
misunderstanding	0.0757475
bloodshed	0.0754346
stalemate	0.0751458
divergence	0.074722
"price pressure"	0.0743189
ugliness	0.0742497
"difference of opinion"	0.0742074
jitters	0.0741371
"Free Trade Agreement"	0.0730852
outrage	0.072941
angst	0.0728704
ferment	0.0727075
unrest	0.0722309
indignation	0.070868
hand-wringing	0.0707655
impasse	0.0701347
"battle line"	0.0696668
turmoil	0.0695788
commotion	0.0693466
disunity	0.0692921
insecurity	0.0690957
disquiet	0.0690612
soul-searching	0.0689035
infighting	0.0688299
suspicion	0.0686296
confrontation	0.0684982
disarray	0.068429
hysteria	0.0683291
turbulence	0.0675013
indecision	0.0674247
agony	0.0670664
"name calling"	0.0669933
outcry	0.0667568
speculation	0.0667419
uproar	0.0665721
panic	0.0664191
disillusionment	0.0663427
euphoria	0.065734
misgiving	0.0655018
tumult	0.0653285
disenchantment	0.0649142
in-fighting	0.0648843
"public debate"	0.0648369
disharmony	0.064653
vitriol	0.0645863
inequity	0.0641896
ambiguity	0.0635924
paranoia	0.0635645
cynicism	0.0634461
bargaining	0.0633804
loathing	0.0632717
"personal relation"	0.0629548
exasperation	0.0624734
hoopla	0.0622219
fury	0.0621752
discomfort	0.0621198
volatility	0.0620129
excitement	0.0619932
chaos	0.0618284
ambivalence	0.0617189
introspection	0.0616384
sparring	0.0615842
prejudice	0.0615227
despair	0.0614603
trepidation	0.0614434
backsliding	0.0612211
embarrassment	0.0611717
animus	0.0610662
inequality	0.0607671
brinkmanship	0.0606721
lawlessness	0.0606117
brinksmanship	0.0602143
aggravation	0.0600828
disaffection	0.0600506
hesitation	0.0600338
upheaval	0.0599951
hubbub	0.0597649
clamor	0.0596925
apprehension	0.0596306
grief	0.0594186
ruckus	0.0591661
gloom	0.0591632
groundswell	0.0590062
dismay	0.0589968
estrangement	0.0588483
wrangle	0.0585551
gridlock	0.0585235
belligerence	0.0584454
quarrel	0.0582973
sadness	0.0582056
hesitancy	0.0581332
instability	0.0577741
chasm	0.0577113
hardship	0.0576316
invective	0.057578
disparity	0.0574693
unhappiness	0.0573733
brouhaha	0.057121
dissatisfaction	0.0571139
fracas	0.0569433
apathy	0.0569341
skittishness	0.0568544
fissure	0.0568355
jubilation	0.056818
Distress	0.0565638
unpopularity	0.0561119
anguish	0.0559405
affluence	0.0556988
tug-of-war	0.0556311
convulsion	0.0555053
militancy	0.0552383
"guessing game"	0.0551344
misconception	0.0550161
fervor	0.0549923
rioting	0.0546858
rupture	0.0546461
complacency	0.0546044
unanimity	0.0545823
warfare	0.0545495
litigation	0.0545452
agitation	0.05441
bloodletting	0.0542637
mischief	0.0541464
zealotry	0.0538886
firestorm	0.0538417
thaw	0.0531993
pandemonium	0.0530929
"moral hazard"	0.0530274
optimism	0.0529972
slugfest	0.0526923
intolerance	0.0526757
backlash	0.0524209
mayhem	0.0524096
disappointment	0.0523576
foot-dragging	0.0522277
back-and-forth	0.0521267
humiliation	0.0518941
posturing	0.0517929
stigma	0.0517062
desperation	0.0516499
"good will"	0.0514414
enthusiasm	0.0514015
wariness	0.0513646
arm-twisting	0.0512753
overlap	0.0511344
factionalism	0.0511098
"hue and cry"	0.0509738
"Great Divide"	0.0509184
anarchy	0.0508803
heartache	0.0508661
give-and-take	0.0508306
))
(acrobat (desc 6212.66) (sims
juggler	0.199592
mime	0.14579
dancer	0.120268
magician	0.115599
puppeteer	0.114537
clown	0.109973
gymnast	0.103659
"ballet dancer"	0.101247
musician	0.100121
craftspeople	0.0985318
fencer	0.0952526
calligrapher	0.0944624
comedian	0.0921433
choreographer	0.086312
pianist	0.0859753
performer	0.0858087
instrumentalist	0.0837238
vocalist	0.0827362
troupe	0.0824737
entertainer	0.0812782
ballerina	0.0792513
acrobatics	0.0784016
singer	0.0779877
violinist	0.0776048
drummer	0.0767909
"folk dance"	0.0767773
"belly dancer"	0.0760738
"jazz musician"	0.0748762
skater	0.0744481
animators	0.0705969
Midi	0.0700928
deejays	0.0689857
cellist	0.0689856
painter	0.068558
"disc jockey"	0.0684525
dramatist	0.0683602
"folk singer"	0.0678104
stripper	0.0669268
poet	0.0664779
RealPlayer	0.0661454
diver	0.0652495
skydiver	0.0639932
"volleyball player"	0.0638207
"folk song"	0.0635201
"fashion designer"	0.0630775
percussionist	0.0630144
comic	0.0628136
cirque	0.0626537
craftsmen	0.0612699
soloist	0.0610907
exterminator	0.0609964
"Microsoft Word"	0.060797
lifter	0.0607296
swimmer	0.0606653
rapper	0.0605267
"rock climber"	0.0604775
stagehand	0.0601336
Soleil	0.0600005
cager	0.0599443
actress	0.0598845
"movie star"	0.0596008
electrician	0.0590203
spikers	0.058811
"art historian"	0.0585902
rower	0.0579236
daredevil	0.0576826
stuntman	0.0576139
choir	0.0575827
"film star"	0.0574804
rappers	0.0573855
statesmen	0.057288
"Windows @.@"	0.0570813
sculptor	0.0568542
parachutist	0.0568204
paddler	0.0567794
educationist	0.0565157
agronomist	0.0561009
composer	0.0559276
filmmakers	0.0554834
"art student"	0.0554053
shuttlers	0.0552329
"music teacher"	0.0551266
newsgroup	0.0550816
DJ	0.0550305
"Liquid Audio"	0.0549494
ophthalmologist	0.0547475
songwriter	0.0547204
"jazz band"	0.0545861
bloke	0.0543245
physicist	0.0542609
arranger	0.0542578
"opera star"	0.054244
archaeologist	0.0541891
businesswoman	0.0539693
"stage director"	0.0536059
aviator	0.0534281
ICQ	0.0533563
virtuoso	0.0533453
feline	0.0533091
"altar boy"	0.0532884
Playwright	0.0531323
interloper	0.0530223
cyclist	0.0529533
vaulter	0.052866
tumbler	0.0528465
thinker	0.052758
mathematician	0.0527125
conductor	0.0526565
Photoshop	0.0526526
impersonator	0.052458
"NBA All-Star"	0.0521134
"hockey player"	0.0518886
artisan	0.0513769
veterinarian	0.0511399
"government officials"	0.0510534
HTML	0.051029
"baseball player"	0.0509378
geologist	0.0508471
ornithologist	0.0508441
ensemble	0.050836
cheerleader	0.0507387
"eye doctor"	0.0507028
kayaker	0.0505405
guitarist	0.0505117
"science teacher"	0.0504664
paleontologist	0.0503833
sportsmen	0.0503566
academician	0.0503347
storyteller	0.0502187
deejay	0.0499521
fireman	0.0499204
fisherman	0.0498529
racer	0.0497434
chimp	0.0496262
"Microsoft Office"	0.0492848
bodybuilder	0.0492508
"Mac OS"	0.049087
astronaut	0.0490775
enterpreneurs	0.048934
"opera company"	0.0488308
lifeguard	0.0486556
lyricist	0.0483288
"symphony orchestra"	0.0482738
"Microsoft Windows"	0.0482137
circuses	0.0481685
musicologist	0.0481014
stylist	0.0480837
climber	0.0480612
crewmembers	0.0479515
WordPerfect	0.0479184
"disk jockey"	0.0478698
"social worker"	0.0476619
orthodontist	0.0475088
"house painter"	0.0474125
"martial art"	0.0472803
vagrant	0.0471275
"No. @s"	0.0470767
beautician	0.0469483
animator	0.0468605
"Navy Seal"	0.0467382
Quicktime	0.0466512
freelancers	0.0466369
restaurateur	0.0465952
"social scientist"	0.0465336
"character actor"	0.046462
newlywed	0.0464442
sailor	0.0463992
jurist	0.0463312
"art director"	0.0462702
"registered nurse"	0.0462475
emulator	0.0461916
"temporary worker"	0.0461216
anthropologist	0.0460773
craftsman	0.0459741
linguist	0.0459233
educator	0.0459139
chemist	0.0458346
Eudora	0.0458099
apprentice	0.0457885
housewife	0.0456575
seminarian	0.0455913
filmmaker	0.0455468
"film producer"	0.0455375
weightlifter	0.0455168
"computer programmer"	0.0452853
woodworker	0.0452776
chef	0.04523
"chess player"	0.0451788
"university student"	0.0451501
"guitar player"	0.0449249
ogre	0.0448855
"television star"	0.0448478
clowning	0.0447853
Explorer	0.0447277
philosopher	0.0447081
"health professional"	0.0446197
filtering	0.0446166
Industrialist	0.0445982
"medical student"	0.0445876
ventriloquist	0.0445402
))
(acrobatics (desc 7687.63) (sims
"Peking Opera"	0.175937
"folk dance"	0.149891
"martial art"	0.136696
"Beijing Opera"	0.131227
ballet	0.105202
mime	0.102961
"folk song"	0.102467
"musical performance"	0.0988408
opera	0.0958017
"chamber music"	0.0952893
"modern dance"	0.0950966
puppetry	0.0924911
juggling	0.0911877
"ballroom dancing"	0.0891502
"folk music"	0.086675
Gymnastics	0.0844506
calligraphy	0.0843534
"musical theater"	0.0821641
"folk art"	0.0806119
acrobat	0.0784016
operetta	0.0782944
"theatrical performance"	0.0774962
dancing	0.0767458
"song and dance"	0.076651
pyrotechnics	0.0747
singing	0.0729027
"puppet show"	0.0711445
photography	0.0680076
swordplay	0.0677409
choreography	0.0673816
calisthenics	0.0673593
drumming	0.0670771
firework	0.0662887
judo	0.0651097
poetry	0.0650912
folklore	0.0643387
aerobics	0.064167
"spoken word"	0.0629162
"fine arts"	0.0628805
"fine art"	0.0616474
clowning	0.0608387
symphony	0.0605418
circus	0.0592219
stunt	0.058937
"classical music"	0.0581651
striptease	0.0575417
"symphony orchestra"	0.0565981
karate	0.055596
Wushu	0.0553455
recital	0.054966
wrestling	0.0541738
oratorio	0.0536356
"popular music"	0.0536263
pentathlon	0.0532167
bluegrass	0.0526361
pirouette	0.0524154
recitation	0.0522725
somersault	0.0522658
"water polo"	0.0521222
weightlifting	0.0520082
mimicry	0.0516796
skit	0.051263
"musical instrument"	0.0510254
CPR	0.0508235
choir	0.0507895
dexterity	0.0504463
"sleight of hand"	0.0495321
costume	0.0488416
sightseeing	0.048667
pageantry	0.048131
takraw	0.0480733
trapeze	0.0479583
improvisation	0.0476526
Aria	0.047392
animation	0.0472882
slapstick	0.0472262
pushup	0.0472008
schoolwork	0.0470435
clown	0.0469919
"Sweeney Todd"	0.0467135
"public speaking"	0.0466148
"dance step"	0.0465451
Zydeco	0.0465262
"physical education"	0.0464953
chess	0.0462227
badminton	0.046022
"religious ceremony"	0.0459699
flamenco	0.0454876
troupe	0.0454571
halfpipe	0.0453469
footwork	0.0451181
cinematography	0.0450181
yoga	0.0449055
derring-do	0.0448962
cinema	0.0447177
"table tennis"	0.0447016
virtuosity	0.0445932
archery	0.0444972
volleyball	0.04431
bodybuilding	0.0443068
"set piece"	0.0439939
samba	0.0439391
"special effect"	0.0436869
fumigation	0.0435017
calypso	0.043499
juggler	0.0434629
"flower arrangement"	0.0432006
theatre	0.0431686
artistry	0.0429994
"ballet company"	0.0425908
scenery	0.0425762
imagery	0.0425302
Haj	0.0424142
concerto	0.0423635
editing	0.0423514
"practical joke"	0.0422781
"wedding ceremony"	0.0417244
modeling	0.0416791
Kite	0.04137
cabaret	0.0413609
narration	0.0413146
taekwondo	0.0412342
fencing	0.0410486
aerial	0.0408755
gamesmanship	0.0408527
"opera company"	0.0407138
inventiveness	0.0406378
bagpipe	0.0405639
reconnaissance	0.0405356
antic	0.0403799
polka	0.0401093
agility	0.0400574
visuals	0.0400511
Giselle	0.0400016
))
(acronym (desc 15002) (sims
initial	0.193194
abbreviation	0.13462
"first name"	0.0683471
nickname	0.0621952
"Koha Ditore"	0.060114
slang	0.0577024
phrase	0.0575532
"language school"	0.0569779
shorthand	0.0559368
noun	0.0536036
ELN	0.0518585
euphemism	0.0509633
GIA	0.0487633
"given name"	0.0476047
alias	0.0475738
proverb	0.0457991
"last name"	0.0455853
fluency	0.0447711
moniker	0.0443592
"word meaning"	0.0441605
"last two digits"	0.0433294
adjective	0.0430712
terminology	0.0430342
"stage name"	0.0426721
))
(Acropolis (desc 2552.8) (sims
Parthenon	0.113694
Colosseum	0.0970991
"Lincoln Memorial"	0.0865686
"Promise Keepers"	0.0759124
"Potala Palace"	0.0749984
"Blue Ridge"	0.073626
Graceland	0.072564
"Empire State Building"	0.0724909
"Forbidden City"	0.0723872
"Space Needle"	0.0721489
"Pikes Peak"	0.0709191
"Turkish Embassy"	0.068042
"Great Wall"	0.0665563
"Statue of Liberty"	0.0646124
Triomphe	0.0644211
"Mount Hermon"	0.0632926
"Yellowstone National Park"	0.0614902
"Liberty Bell"	0.0614248
Louvre	0.0607801
Basilica	0.0605918
"Science City"	0.0605557
"May Day"	0.0599855
"Brooklyn Bridge"	0.0594346
"Angkor Wat"	0.0581988
Yosemite	0.0581061
"Mount Sinai"	0.0580857
"Eiffel Tower"	0.0572959
"Yad Vashem"	0.0569649
"Greek capital"	0.0569225
"Washington Monument"	0.0565076
"Old City"	0.0562269
KKK	0.0553441
statehouse	0.0543761
"U.S. Capitol"	0.0521181
Seine	0.0512917
"World Weightlifting Championships"	0.0501228
"Rocky Mountains"	0.0492615
"Metropolitan Museum of Art"	0.0491267
"Second Avenue"	0.0485491
"Yasukuni Shrine"	0.0474539
"Colonial Williamsburg"	0.0472846
"Golden Age"	0.0470456
"Taj Mahal"	0.0470143
safari	0.0462885
"Prudential Insurance Co."	0.0455245
Klan	0.044719
"Everglades National Park"	0.0446859
"natural history"	0.0445355
grotto	0.0445076
"Aryan Nations"	0.0440975
Furman	0.0439457
"guiding light"	0.0437217
Prado	0.0434654
"Green Monster"	0.0433318
"Team USA"	0.0431268
Israelites	0.0430948
"more than @@@ kilometers"	0.0430866
marbles	0.0430774
"Temple Mount"	0.0425918
"National Theater"	0.0425263
"West Lake"	0.0423788
"Midtown Manhattan"	0.0422853
"Parliament House"	0.0421948
"Union Station"	0.0421559
"World Athletics Championships"	0.0420682
goalpost	0.0420063
"United Way"	0.0420023
Athenian	0.0419576
"Windsor Castle"	0.0418746
Bilbao	0.0418572
"Hollywood Hills"	0.0416558
Himalayas	0.0414954
"Ku Klux Klan"	0.0413834
speedway	0.041265
Mesopotamia	0.0411957
"Mount Rainier"	0.040441
"Peter Pan"	0.0404032
perigee	0.0403338
Grosjean	0.0403284
"Sierra Nevada"	0.0403208
Franco-German	0.0403078
Xenia	0.0402994
"military hospital"	0.0401467
))
(acrylic (desc 5923.53) (sims
"stainless steel"	0.120784
lacquer	0.119545
gouache	0.115383
kevlar	0.107205
Plexiglas	0.107128
vinyl	0.0975131
aluminum	0.0972155
polymer	0.09302
fiberglass	0.0889301
plastic	0.0865717
latex	0.0851666
wax	0.0829548
Mylar	0.0821769
Lycra	0.0815261
cashmere	0.0780115
rayon	0.07686
cellulose	0.0767056
chrome	0.0764619
polypropylene	0.0761783
chenille	0.0749388
foam	0.0731281
leather	0.0731212
pewter	0.0727714
enamel	0.0722774
"synthetic fiber"	0.0719134
"cobalt blue"	0.0712924
clingy	0.0699053
polyester	0.0696212
silk	0.0695978
polyurethane	0.0690149
nylon	0.0689145
Plywood	0.0681612
watercolor	0.0681542
"oil paint"	0.0677852
cotton	0.0673024
epoxy	0.0669685
mohair	0.0666988
plaster	0.0663579
resin	0.0660057
titanium	0.0659005
ceramic	0.0641486
drywall	0.0634696
wool	0.0632624
varnish	0.0620902
six-inch	0.061048
porcelain	0.0603429
laminate	0.0601029
PVC	0.0594339
"iron ore"	0.0583773
roofing	0.0579825
sealer	0.0579178
cardboard	0.0578972
"cast iron"	0.0577962
"oil painting"	0.0573018
brass	0.057237
tile	0.0561627
"terra cotta"	0.054505
pastel	0.0541253
Copper	0.0541032
"precious metal"	0.05349
Two-inch	0.0525496
"gold leaf"	0.0519502
pigment	0.051646
"small white"	0.0510842
Pottery	0.0506858
linen	0.0506576
"stained glass"	0.0503849
fleece	0.0502347
"polka dot"	0.0495428
rattan	0.0488554
paintbrush	0.0479033
"old master"	0.0475887
graphite	0.047211
marble	0.0471031
high-gloss	0.0465845
platinum	0.0465022
cellophane	0.0463378
adhesive	0.0460017
panko	0.0459142
eggshell	0.0454469
"white line"	0.0452748
plaid	0.0450847
polyethylene	0.0447835
upholstery	0.0446935
"sheet metal"	0.0445424
sealant	0.0444751
crayon	0.044301
chiffon	0.0442646
"wrought iron"	0.0431852
phyllo	0.0426879
limestone	0.042572
pashmina	0.0424417
topsoil	0.0423265
petrochemical	0.0422953
coating	0.0419666
embroidery	0.0419561
Seawater	0.0418831
mahogany	0.0418312
earthenware	0.041815
"sterling silver"	0.0416166
canvas	0.041442
Parthenon	0.0405909
"dry ice"	0.0401567
flooring	0.0400901
))
(act (desc 190475) (sims
crime	0.169199
action	0.163637
attack	0.150923
violation	0.143236
violence	0.141396
behavior	0.140632
conduct	0.135919
killing	0.131041
incident	0.130346
aggression	0.130288
activity	0.129735
atrocity	0.128334
abuse	0.128053
murder	0.125057
law	0.123892
bombing	0.117855
assault	0.116806
threat	0.116757
attempt	0.113291
terrorism	0.11131
move	0.110338
conspiracy	0.110137
practice	0.108873
policy	0.108205
tactic	0.108043
measure	0.106486
misconduct	0.105829
provocation	0.105229
"military action"	0.102704
genocide	0.102123
decision	0.101897
mistake	0.101565
rape	0.101148
statute	0.100468
accusation	0.0999407
kidnapping	0.0998966
charge	0.09989
harassment	0.0993269
fraud	0.0986381
massacre	0.0984504
case	0.098421
legislation	0.0972732
strike	0.0963291
brutality	0.0962748
form	0.0962136
"war crime"	0.0957005
discrimination	0.0955729
offense	0.0951782
failure	0.0945202
allegation	0.0938616
tragedy	0.0930064
acts	0.0929671
kind	0.0928768
theft	0.0918723
use	0.0915899
work	0.0914911
shooting	0.0914189
corruption	0.0909906
war	0.0909762
wrongdoing	0.0906511
scheme	0.0904832
gesture	0.0900212
interference	0.0897662
plot	0.0880897
torture	0.0879098
plan	0.0873491
intervention	0.0872519
rule	0.0870843
sin	0.0870501
step	0.0866346
demonstration	0.0865309
hijacking	0.0863895
bill	0.0861897
problem	0.0856382
statement	0.0854637
effort	0.0851498
breach	0.0843411
assassination	0.0843054
change	0.0842446
expression	0.084124
event	0.0840498
remark	0.083862
raid	0.0838357
resolution	0.0838201
situation	0.083678
conflict	0.0830318
role	0.0829465
exercise	0.0824871
provision	0.0824163
deed	0.0824155
process	0.0823576
sanction	0.0822367
invasion	0.0822345
robbery	0.0821951
campaign	0.0817982
proposal	0.0816723
show	0.0816678
test	0.0814798
regulation	0.0810061
agreement	0.0809463
constitution	0.0809032
amendment	0.0807269
consequence	0.0806402
performance	0.0805233
abduction	0.0804928
claim	0.0802109
program	0.0798353
Ordinance	0.0797573
scandal	0.0796171
lie	0.0794963
persecution	0.0794415
sex	0.0794204
method	0.0791896
"sexual harassment"	0.0791841
accident	0.0790392
Declaration	0.0790019
thing	0.0789982
cruelty	0.078789
Treaty	0.0786866
procedure	0.0782801
felony	0.0782344
sabotage	0.0778777
deal	0.0778272
matter	0.0777044
fight	0.0776778
destruction	0.0776514
example	0.0772738
"sexual assault"	0.0772655
espionage	0.0769778
issue	0.0768793
experiment	0.0765997
evil	0.076543
Death	0.0764375
perjury	0.0764373
scene	0.0763102
ploy	0.0762841
moment	0.076061
Execution	0.0758121
episode	0.0756323
suicide	0.0755461
infringement	0.0754704
initiative	0.075433
beating	0.0753944
homicide	0.0752848
operation	0.0750205
strategy	0.0749344
decree	0.0749238
riot	0.0748831
idea	0.074876
pattern	0.0748366
arrest	0.0748356
confrontation	0.0747563
protest	0.0745677
involvement	0.0744306
punishment	0.0744118
movement	0.0743911
lack	0.0743109
force	0.0740502
evidence	0.0740302
attitude	0.0740255
maneuver	0.074023
story	0.0737732
language	0.0736971
anything	0.0736737
nature	0.0736368
repression	0.0734748
slaying	0.0734378
misdeed	0.073412
arson	0.073322
misuse	0.0731099
circumstance	0.0730532
escalation	0.0729427
comment	0.0729258
crackdown	0.0727892
disaster	0.0726715
relationship	0.0726558
explosion	0.0725173
reform	0.0722897
presence	0.0721664
propaganda	0.0720509
offence	0.0719969
result	0.0719077
experience	0.0717502
instance	0.071649
element	0.0716145
affair	0.0715915
politics	0.071577
question	0.0715515
treason	0.0715488
it	0.0715051
sign	0.0714922
intimidation	0.0712045
this	0.0711885
struggle	0.0711754
bribery	0.071114
ban	0.0709826
irregularity	0.0709636
criminal	0.0708147
approach	0.0708084
compromise	0.0706936
))
("Act @" (desc 2360.2) (sims
"Act II"	0.0991258
cappella	0.098783
He/she	0.0797705
shattering	0.0712754
"title role"	0.068366
bravura	0.0600283
Puccini	0.0548652
"football season"	0.0536343
"first third"	0.0524109
libretto	0.0519177
"exhibition season"	0.0493969
"picture postcard"	0.0489642
scat	0.0480743
Lucia	0.0480692
"fishing season"	0.0472449
Rossini	0.0465559
psalm	0.0456951
karaoke	0.0443231
"Consultative Group"	0.0437334
"Balkan Wars"	0.042867
"Shanghai Composite Index"	0.0425058
"academic year"	0.0423302
"Amazing Grace"	0.0422089
"Fortune Global Forum"	0.0416545
))
("Act II" (desc 1487.89) (sims
"Act @"	0.0991258
"Passion play"	0.0770091
dreamed	0.0602638
tux	0.0534118
decomposition	0.0472072
"pas de deux"	0.0467907
"Manila Bay"	0.046194
"French Alps"	0.0460837
"Jewish Sabbath"	0.0452025
"Great Gatsby"	0.0448484
Othello	0.0444498
goalmouth	0.0430711
"Consultative Group"	0.0424763
"academic year"	0.0419275
Salome	0.0417563
"Bob Fosse"	0.0416038
"first century"	0.04043
LIMEY	0.0401175
))
("act of God" (desc 1296.61) (sims
"sour grapes"	0.0729439
"extracurricular activity"	0.0658927
expedient	0.0625381
hiccup	0.0567673
eye-opening	0.0566267
loudmouth	0.0558038
anti-inflammatory	0.0547293
"warning signal"	0.0542105
"close call"	0.0541494
Jonah	0.0529858
intangible	0.0510891
cipher	0.0505265
"second tour"	0.0502974
cakewalk	0.0479572
antacid	0.0474455
happenstance	0.0469748
palliative	0.0464521
"God's Will"	0.0442693
heaviness	0.0436292
"Mother Nature"	0.0434576
"time to come"	0.0433793
mitzvah	0.0432414
"popularity contest"	0.042686
"civic duty"	0.0424354
criminologists	0.0423937
census-takers	0.0421374
oxymoron	0.0420133
"New York Republicans"	0.0419148
"wishful thinking"	0.0416949
abomination	0.0415329
potshot	0.0405657
"great year"	0.0404723
"good manners"	0.0402793
))
(Acting (desc 2338.77) (sims
goaltending	0.0846446
guesswork	0.0633769
legroom	0.0551152
lobbying	0.0519566
"business condition"	0.0499491
non-Social	0.0473748
dampness	0.045724
Nomar	0.0456774
fielding	0.0447042
eyesight	0.0445135
ex-convicts	0.0444565
"ownership stake"	0.0442741
"non-performing loans"	0.0427651
adrenalin	0.0421281
"coca crop"	0.0420996
"breaking ball"	0.0403077
"noise level"	0.0401052
mileage	0.0400028
))
(action (desc 288748) (sims
decision	0.196075
policy	0.170024
move	0.169822
activity	0.166708
attack	0.165252
intervention	0.164271
act	0.163637
effort	0.160996
measure	0.16055
behavior	0.160389
conduct	0.155094
"military action"	0.154774
violence	0.151945
proposal	0.146113
strike	0.142143
initiative	0.14185
legislation	0.137308
change	0.137202
sanction	0.136103
reform	0.135973
tactic	0.135452
plan	0.13427
lawsuit	0.132203
incident	0.131987
investigation	0.131823
ruling	0.131281
statement	0.130569
bombing	0.128636
practice	0.128508
crime	0.127212
failure	0.125892
strategy	0.125878
case	0.124726
violation	0.124164
attempt	0.123456
involvement	0.123338
development	0.123321
law	0.123099
operation	0.122675
agreement	0.122298
stance	0.122049
comment	0.11993
vote	0.119376
response	0.119162
killing	0.118937
campaign	0.118625
resolution	0.118028
role	0.117644
step	0.117368
program	0.117242
process	0.117023
situation	0.116895
use	0.11688
regulation	0.116809
raid	0.115338
threat	0.115277
deployment	0.115094
abuse	0.114365
remark	0.114147
proceeding	0.114134
airstrikes	0.113882
cooperation	0.113518
work	0.112703
announcement	0.112053
crackdown	0.111825
arrest	0.111702
aggression	0.111157
procedure	0.110858
approval	0.110674
"legal action"	0.110571
participation	0.110292
presence	0.110271
progress	0.110006
allegation	0.109894
approach	0.109838
war	0.109755
assault	0.108304
position	0.108183
ban	0.108088
recommendation	0.10797
charge	0.107803
refusal	0.10749
accusation	0.107418
withdrawal	0.107331
this	0.107174
terrorism	0.107105
inquiry	0.106874
negotiation	0.106714
settlement	0.106105
finding	0.106005
trial	0.106
support	0.105963
claim	0.105285
report	0.10522
Declaration	0.105027
issue	0.104689
movement	0.104533
event	0.104408
protest	0.104332
debate	0.104231
test	0.104179
treatment	0.103861
deal	0.10383
discussion	0.10376
impeachment	0.103379
prosecution	0.103355
problem	0.102993
rule	0.102031
expansion	0.101946
verdict	0.101788
performance	0.101775
conflict	0.101689
commitment	0.101656
criticism	0.101406
rejection	0.101277
result	0.101256
appointment	0.100405
force	0.100315
attitude	0.0998722
Execution	0.0998506
it	0.0998504
talk	0.099842
restriction	0.0997785
meeting	0.0997441
election	0.0993906
judgment	0.0990605
bill	0.0990171
exercise	0.0989326
discrimination	0.0987891
request	0.0986742
that	0.0986581
complaint	0.0981461
punishment	0.0978537
reduction	0.0977197
atrocity	0.0976667
Dismissal	0.0976567
enforcement	0.0976285
reaction	0.0975437
release	0.0972315
misconduct	0.0967171
relationship	0.096603
outcome	0.0963455
offensive	0.0961466
fight	0.0961211
"tax cut"	0.0960959
disclosure	0.0960952
crisis	0.0960612
Implementation	0.0959415
hearing	0.0959288
solution	0.0959173
wrongdoing	0.0952312
boycott	0.0951108
provision	0.0949727
harassment	0.0948768
condition	0.0945934
cut	0.0945145
fighting	0.0944801
testimony	0.0944581
removal	0.0944508
suggestion	0.0942103
abortion	0.0941135
order	0.0939486
indictment	0.0937516
question	0.0936335
government	0.0935808
litigation	0.0935659
method	0.0934644
delay	0.0932658
shooting	0.0931556
appeal	0.0929922
review	0.0929468
fact	0.0925377
project	0.0925004
idea	0.0924687
affair	0.0923837
inaction	0.0922825
demonstration	0.092216
compromise	0.092105
testing	0.0921032
expulsion	0.0920946
amendment	0.0920647
resignation	0.0919452
speech	0.0918843
murder	0.0917351
detention	0.0916322
matter	0.0914933
maneuver	0.0914626
confrontation	0.0911996
merger	0.0911592
massacre	0.0911126
success	0.0909603
system	0.0907258
determination	0.0906676
scheme	0.0905499
dialogue	0.0904076
visit	0.0903895
demand	0.0902017
suit	0.0901804
life	0.0901082
call	0.0896883
))
("Action Plan" (desc 1849.22) (sims
"plan of action"	0.141548
"master plan"	0.118242
"compromise plan"	0.100627
"Revised Version"	0.0937438
"development plan"	0.0916807
"executive program"	0.0882505
"reorganization plan"	0.0877621
"development strategy"	0.0846236
"code of conduct"	0.0843445
Measures	0.0804677
"Marshall Plan"	0.0758217
"International Convention"	0.0743275
"U.N. Resolution @@@"	0.072848
"contingency plan"	0.0724061
"marketing program"	0.0722094
blueprint	0.0709721
"political program"	0.0692498
"Beijing Declaration"	0.0690055
"Royal Society"	0.0683658
manifesto	0.0658159
"Ninth Five-Year Plan"	0.0657866
"Agenda @@@@"	0.065786
"rehabilitation program"	0.0621245
"organic law"	0.0620841
"monitoring program"	0.0604207
"ad blitz"	0.0600282
roadmap	0.0592371
"Resolution @@@"	0.0588593
"scoring system"	0.0569596
"political platform"	0.0567665
"incentive plan"	0.0557767
counterbid	0.0555056
livery	0.055309
namelist	0.0552931
"Resolution @@@@"	0.0551528
MOU	0.0546242
"Universal Declaration"	0.05423
"tax change"	0.0541062
"white paper"	0.0540531
"credit system"	0.0538488
"line of products"	0.0536268
"tax policy"	0.0529165
"rating system"	0.052709
modality	0.0524298
CRC	0.0522161
"trade policy"	0.0521708
"Playstation II"	0.0520613
ADP	0.0515776
"trade agreement"	0.0515581
"price list"	0.0511742
"pilot program"	0.0511728
"bond offering"	0.0506584
FTA	0.0506441
"expansion plan"	0.0505525
"Macao Basic Law"	0.0504554
"finding of fact"	0.0502838
"Kyoto Protocol"	0.0501524
"weather satellite"	0.0499037
"progress report"	0.0498907
"Policy Address"	0.0491597
"bankruptcy law"	0.0491419
VFA	0.0489988
"American plan"	0.048681
"Bill of Rights"	0.0485164
"booster rocket"	0.0484136
"Vision @@@@"	0.0480658
curricula	0.0477938
fatwa	0.0477829
Projects	0.0477603
syllabus	0.0471918
"merger agreement"	0.0468193
"Free Trade Area"	0.0467685
"International Covenant"	0.0462204
"International Year"	0.0462033
"Secretary General Boutros Boutros-Ghali"	0.0460872
bylaw	0.045823
"travel plan"	0.0457382
peccadillo	0.0453043
"teaching method"	0.0452398
"bond issue"	0.0449548
reestablishment	0.0448784
"business plan"	0.0446994
Ita	0.0445465
"Special Economic Zones"	0.0443901
"U.N. Security Council Resolution @@@"	0.0443183
homepage	0.0442166
"African Union"	0.044166
"service program"	0.0440425
"International Society"	0.043978
"data system"	0.0439436
setting-up	0.043564
"name change"	0.0432122
"accounting system"	0.0431728
"employment contract"	0.0431204
"United Nations Convention"	0.0430719
"software product"	0.042602
"component part"	0.0422072
"battle plan"	0.0419307
"interim committee"	0.0418623
"propulsion system"	0.041771
covenant	0.0417147
stayaway	0.0417084
"support system"	0.041639
"endowment fund"	0.041599
databank	0.0415507
"ground rule"	0.0413895
"tax incentive"	0.0413614
"surveillance system"	0.041209
"legal instrument"	0.0411305
"National Institute"	0.0411082
"record earnings"	0.0410865
stimulus	0.041031
"Angolan Government"	0.0409874
good-neighborly	0.0407988
theorem	0.0405359
"employment report"	0.0403149
"international criminal court"	0.0402768
"proxy fight"	0.0401817
emulator	0.0401
))
(activation (desc 5665.43) (sims
reactivation	0.0823509
reestablishment	0.0769634
mobilization	0.0749065
drawdown	0.0715775
institutionalization	0.071455
deployment	0.0712509
strengthening	0.0694319
broadening	0.0685596
reorientation	0.0678438
revamping	0.0666053
termination	0.0642992
renewal	0.0639216
redefinition	0.0632651
consolidation	0.0631518
diversification	0.0631264
deepening	0.0618014
finalization	0.0616078
nullification	0.0612185
deterioration	0.0608451
dispersal	0.0600934
evacuation	0.0597441
establishing	0.0596556
forming	0.0594921
resumption	0.0590628
atrophy	0.0588772
enhancement	0.0580575
alteration	0.0578508
liberalisation	0.0577256
facilitation	0.0576991
reopening	0.0576529
sending	0.0575831
delinquency	0.0575614
promulgation	0.0575261
divestiture	0.0572524
abolishment	0.0572168
initiation	0.0572134
Intensification	0.057201
eviction	0.0571894
revocation	0.0568144
restructuring	0.056747
stimulation	0.05653
liquidation	0.0562611
reorganization	0.0561636
insertion	0.0555176
degeneration	0.0551357
removal	0.0551001
politicization	0.0545387
closings	0.0544406
shrinkage	0.0539608
PSC	0.0538742
reassessment	0.0537522
functioning	0.0537395
democratization	0.0536055
enlargement	0.0535321
upgrading	0.0533138
Propulsid	0.0533056
relocation	0.053145
harmonization	0.0528119
launching	0.0527927
exhumation	0.0524738
closedown	0.0523755
co-sponsors	0.0522323
dissolution	0.0522236
malfunction	0.0521519
coordination	0.0519135
restoration	0.0517256
mutation	0.0513324
non-use	0.051327
Liberalization	0.0511818
stationing	0.0510564
pullout	0.0510204
breakup	0.0508942
stabilization	0.050879
industrialization	0.0507322
issuance	0.0505983
rethinking	0.0505899
disbanding	0.0503409
reevaluation	0.0502554
replenishment	0.0501499
"chain reaction"	0.0499398
interdependence	0.0498774
closure	0.0496989
initiator	0.0495955
rigidity	0.0495848
relaxation	0.0495301
warming	0.0494807
adoption	0.0493695
reexamination	0.0493095
toppling	0.0492017
substitution	0.0491292
interaction	0.0489525
abolition	0.0489119
cancellation	0.0488931
joining	0.0487661
disbandment	0.048689
desegregation	0.0486271
issuing	0.0482618
tie-up	0.0482309
streamlining	0.0480803
withdrawl	0.0480771
rupture	0.04803
attainment	0.0479837
sensitization	0.0479327
scaling	0.0479189
"name change"	0.0478984
DNR	0.0478807
forging	0.0477875
modernization	0.0477189
decoding	0.0476786
expropriation	0.0476301
continuation	0.0474396
reconsideration	0.0472785
dismantling	0.0471146
nationalization	0.0469586
safeguarding	0.0468828
loosening	0.0468748
ratification	0.046621
reinstatement	0.0466114
cutoff	0.0465322
stagnation	0.0463679
acceleration	0.046255
readjustment	0.046172
drafting	0.0461579
scrapping	0.0459568
realignment	0.0457986
commercialization	0.0457641
reinforcement	0.0457075
reaffirmation	0.0456274
fragility	0.0454384
phaseout	0.0454269
revitalization	0.0453613
shifting	0.0453002
laxity	0.0452249
"work stoppage"	0.0452207
"expansion plan"	0.0451842
"accounting problem"	0.0451154
enforcement	0.0450575
depletion	0.0447846
fragmentation	0.0444012
formulation	0.0443423
dilution	0.0442061
redeployment	0.0442026
Tightening	0.0441119
rectification	0.0440639
easing	0.0440202
"land reform"	0.0439845
effectiveness	0.0439721
rejuvenation	0.043815
erection	0.0437852
"dust storm"	0.0437625
absorption	0.0437097
commencement	0.0436679
enactment	0.0436059
interment	0.0435088
inflammation	0.0434782
diminution	0.0434598
postponement	0.0434332
amalgamation	0.0433745
impairment	0.0433556
malformation	0.0433501
monitoring	0.043297
"head count"	0.043194
deformation	0.0431717
polarization	0.0430811
downgrading	0.0429558
modification	0.0428848
seizure	0.0428814
abnormality	0.0428774
demobilization	0.042838
afforestation	0.0428079
rationalization	0.0427426
"Los Angeles City Council"	0.0427345
continuance	0.0427244
mapping	0.0426676
renegotiation	0.04264
inundation	0.0425995
elaboration	0.0424864
shake-up	0.0424099
precipitation	0.0424065
reappraisal	0.0423945
pullbacks	0.0423817
C-@@@J	0.0423426
contraction	0.0423118
airstrike	0.0423102
mushrooming	0.0421919
recapitalization	0.0421454
outage	0.0421359
setup	0.0421317
"military action"	0.0420985
lifting	0.0420904
penetration	0.04206
reintegration	0.0420077
decentralization	0.0420008
lowering	0.0419941
repatriation	0.0419568
desirability	0.0419331
authorization	0.0419265
reassignment	0.041891
retrenchment	0.0417759
normalization	0.041691
))
(active (desc 17110.6) (sims
overweight	0.0616985
proactive	0.0514388
"baking powder"	0.0510251
"curry powder"	0.047692
Gainer	0.0474173
untouchable	0.0472915
participation	0.0465422
clout	0.0455814
liberal	0.0453668
"over @@"	0.045108
smoother	0.0449563
loser	0.0424193
state-owned	0.0421363
centenarian	0.0415224
laggard	0.0412852
dynamic	0.0405436
illiterate	0.0405436
"political prisoner"	0.0405269
smoker	0.040472
activism	0.0403372
))
(activism (desc 19171.6) (sims
advocacy	0.105056
conservatism	0.0904362
philanthropy	0.0904257
militancy	0.09016
Creativity	0.0879599
radicalism	0.0856255
involvement	0.0818777
anti-Semitism	0.0807209
movement	0.0801265
innovation	0.0788914
politics	0.0787681
activity	0.0784504
nationalism	0.0781916
ferment	0.0746638
"civil disobedience"	0.0730597
patriotism	0.0730361
liberalism	0.0727953
diversity	0.072533
fervor	0.0722178
violence	0.0714813
bipartisanship	0.0710927
dissent	0.0699663
intolerance	0.0689193
unrest	0.0678201
racism	0.0677543
awareness	0.0675131
discontent	0.0671546
"political movement"	0.0671436
extremism	0.0670393
repression	0.0668606
campaigning	0.0666798
rhetoric	0.0661527
fundamentalism	0.0659885
tolerance	0.0658902
ethic	0.0656699
ideology	0.0652911
crusade	0.0650995
consciousness	0.0650702
hypocrisy	0.0646292
populism	0.0643128
abuse	0.0641956
generosity	0.0641489
sentiment	0.0641094
Openness	0.0639545
activist	0.0638133
morality	0.0637949
Christianity	0.0637368
outreach	0.0636278
spirituality	0.0634562
behavior	0.0633404
excellence	0.0632397
participation	0.0632234
struggle	0.0631589
Capitalism	0.0630656
cynicism	0.0628317
thinking	0.0624398
"hard work"	0.0623515
giving	0.0622656
bigotry	0.0621777
idealism	0.0621347
enthusiasm	0.0618421
partisanship	0.061628
upheaval	0.0612899
culture	0.0610115
devotion	0.0609725
volunteerism	0.0609532
"drug use"	0.0608829
diplomacy	0.0604585
protectionism	0.0604316
compassion	0.0602405
propaganda	0.0600776
initiative	0.0600621
clout	0.0600614
passion	0.0597753
Republicanism	0.0595843
hatred	0.0595758
attitude	0.0593667
loyalty	0.0592572
empowerment	0.0591944
honesty	0.0590488
accomplishment	0.0587832
subversion	0.0587413
leadership	0.0584199
popularity	0.0584018
rebellion	0.0583372
ambition	0.0582716
optimism	0.0581352
terrorism	0.0580886
Journalism	0.0580882
democracy	0.0580446
neglect	0.0580095
"decision making"	0.0579676
instability	0.057887
radical	0.0577463
courage	0.0576746
religion	0.0575943
rivalry	0.0575332
anger	0.0574326
prejudice	0.057354
realism	0.0573103
agitation	0.057278
"public service"	0.0571431
education	0.0568433
harassment	0.0567598
spirit	0.0566971
bias	0.0565667
revolution	0.0565334
teaching	0.0565265
outrage	0.0564153
McCarthyism	0.0562895
litigation	0.0561803
sensitivity	0.0560672
art	0.0559897
entrepreneurship	0.0559668
warfare	0.0558734
apathy	0.0557832
experimentation	0.0555955
"drug abuse"	0.0555738
militarism	0.0555561
poetry	0.0554538
corruption	0.0554387
philosophy	0.0554353
willingness	0.0554265
espionage	0.0553544
faith	0.0553295
enforcement	0.0552262
discourse	0.0552209
crime	0.0550754
deception	0.0549796
censorship	0.0547859
outspokenness	0.0547689
controversy	0.0547047
confrontation	0.0546735
self-promotion	0.0546526
immigration	0.0546203
achievement	0.0545487
unionism	0.054495
revolt	0.0543173
professionalism	0.0542979
Sacrifice	0.0540842
unity	0.054049
moderation	0.0540324
resentment	0.0539913
dishonesty	0.0539524
tradition	0.0539498
dedication	0.0539114
tension	0.0538951
endeavor	0.053865
resistance	0.0538074
alienation	0.0537349
complacency	0.0535462
"education program"	0.0534926
gambling	0.0534107
unease	0.0533187
feminism	0.0532856
discrimination	0.0532813
criticism	0.0532589
discipline	0.0532468
deal-making	0.0530709
literature	0.0530395
advancement	0.0527277
inequality	0.0526783
"reform movement"	0.0526694
intervention	0.0525906
lawlessness	0.0525836
disillusionment	0.0524493
"Roman Catholicism"	0.0522738
mobilization	0.052225
opposition	0.0522214
pacifism	0.0522099
sensibility	0.0520661
persecution	0.0520254
timidity	0.0520253
desire	0.0519464
determination	0.0519199
pluralism	0.0518113
teamwork	0.0517221
assertiveness	0.0516817
sabotage	0.0516727
agenda	0.0516135
dominance	0.0515813
"public debate"	0.0515609
Judaism	0.0514786
separatism	0.0514571
collaboration	0.0514494
enlightenment	0.0511924
aspiration	0.0511061
expression	0.0509497
competence	0.0508362
writing	0.0507391
perception	0.0506944
reporting	0.0506578
freedom	0.0506182
consolidation	0.0505884
"religious belief"	0.0505327
insurgency	0.0504621
tactic	0.0504557
responsibility	0.0504387
heroism	0.0504377
brutality	0.0503578
))
(activist (desc 98297) (sims
advocate	0.204505
environmentalist	0.204491
protester	0.204186
dissident	0.196892
supporter	0.191888
demonstrator	0.187752
politician	0.187188
lawmaker	0.179937
journalist	0.17461
legislator	0.171424
leader	0.161121
militant	0.160385
"business leader"	0.158199
member	0.157566
campaigner	0.157548
conservative	0.151328
educator	0.149338
group	0.148901
"political leader"	0.148072
"religious leader"	0.140474
extremist	0.140192
intellectual	0.139763
diplomat	0.136582
official	0.135447
Democrat	0.135003
critic	0.134929
scholar	0.134419
"elected official"	0.133917
nationalist	0.133474
student	0.132083
Republican	0.131448
protestor	0.130456
businessmen	0.130179
academic	0.129935
"labor leader"	0.129206
congressmen	0.127303
leftist	0.12675
worker	0.126306
citizen	0.125288
lawyer	0.123368
"civil rights leader"	0.123249
expert	0.122975
terrorist	0.122946
banker	0.122923
scientist	0.122905
guerrilla	0.12266
cleric	0.122594
resident	0.12187
follower	0.121249
soldier	0.120604
hard-liner	0.119712
voter	0.118629
"university student"	0.118598
people	0.117671
"political prisoner"	0.116078
Palestinian	0.115739
radical	0.115315
"military officer"	0.115274
"police officer"	0.114886
"union member"	0.114533
"business executive"	0.114335
"labor union"	0.114238
reformer	0.113929
farmer	0.113726
villager	0.113092
organization	0.112819
"legal expert"	0.112612
opponent	0.112409
businessman	0.111962
clergy	0.111808
marcher	0.111458
settler	0.111019
rebel	0.110951
delegate	0.110557
teacher	0.109753
Fishermen	0.1097
fundamentalist	0.10938
"interest group"	0.109372
liberal	0.109261
officer	0.109174
volunteer	0.108757
Albanian	0.10872
youth	0.108646
entrepreneur	0.10842
policemen	0.108057
parliamentarian	0.107921
lobbyist	0.107304
Serbs	0.106788
organizer	0.106014
priest	0.105933
"army officer"	0.105927
observer	0.105487
Iranian	0.105158
doctor	0.10487
"government officials"	0.104714
historian	0.104549
ally	0.104254
colleague	0.103845
prisoner	0.103375
feminist	0.103354
veteran	0.103154
executive	0.103073
candidate	0.102932
faction	0.102924
professional	0.102712
clergymen	0.102044
loyalist	0.101905
inmate	0.101685
representative	0.101649
fan	0.101627
Jew	0.101516
"cabinet minister"	0.101366
writer	0.101193
senator	0.101003
Catholic	0.100911
Mayor	0.100871
christian	0.100683
conservationist	0.100188
fighter	0.100005
separatist	0.0999673
"civic leader"	0.0998307
man	0.0996583
sympathizer	0.0994668
commentator	0.0993117
opposition	0.0989921
operative	0.0988963
police	0.0987061
"college student"	0.0986142
reporter	0.0986136
Muslim	0.0985221
immigrant	0.0984463
regulator	0.0982576
civilian	0.0982341
parent	0.0982101
Communist	0.0980703
"political party"	0.0980511
artist	0.0977186
"staff member"	0.0976604
relative	0.0974501
crusader	0.0970145
researcher	0.096775
Kurds	0.096722
musician	0.0963714
moderate	0.0962686
movement	0.0957906
others	0.0957777
Israeli	0.0957774
administrator	0.0957415
"family member"	0.0948901
theologian	0.094881
Industrialist	0.0945051
prosecutor	0.0943445
community	0.0942638
rioter	0.0942597
hardliner	0.0936219
physician	0.0932331
strategist	0.0930759
staffer	0.093051
MP	0.0928753
"political dissident"	0.0927276
aide	0.092696
party	0.0922794
employee	0.0922143
unionist	0.0921051
Cuban-Americans	0.0920855
criminal	0.0918394
investor	0.0918348
woman	0.0917784
Protestant	0.0916338
rabbi	0.0916322
landowner	0.0912101
backer	0.0905602
"newspaper editor"	0.090525
gunmen	0.0905244
Governor	0.0905104
friend	0.0902232
owner	0.0897665
"trade unionist"	0.0896991
thinker	0.0896092
specialist	0.0896007
economist	0.0894705
"social worker"	0.0892053
participant	0.0891789
monk	0.0886873
analyst	0.0884429
union	0.0882435
detainee	0.0880783
athlete	0.0879603
Libertarian	0.0879306
trader	0.087912
dignitary	0.0877142
elder	0.087582
"business community"	0.0875583
"drug trafficker"	0.087376
psychologist	0.0873339
photographer	0.0872054
"trade union"	0.0871661
bishop	0.0871303
adviser	0.0870296
tourist	0.086864
))
(activity (desc 254616) (sims
operation	0.174132
action	0.166708
crime	0.163475
development	0.160707
program	0.155837
project	0.148628
violence	0.143857
effort	0.141331
behavior	0.140657
business	0.139738
terrorism	0.139092
practice	0.138335
work	0.137803
policy	0.137772
use	0.134755
attack	0.133229
movement	0.132572
investment	0.131688
exercise	0.130691
growth	0.12997
act	0.129735
conduct	0.129625
transaction	0.128824
service	0.128817
trade	0.128289
production	0.127917
involvement	0.127774
construction	0.126685
cooperation	0.124731
process	0.124027
violation	0.123898
event	0.123398
abuse	0.120833
problem	0.120067
corruption	0.119986
reform	0.119946
smuggling	0.119582
education	0.119318
"business activity"	0.119225
sale	0.118911
research	0.118637
situation	0.11793
scheme	0.117678
training	0.117153
expansion	0.116918
initiative	0.116107
incident	0.115821
sector	0.115029
industry	0.114135
fraud	0.113863
killing	0.113833
spending	0.113731
"drug trafficking"	0.113259
function	0.113078
economy	0.112772
affair	0.112074
participation	0.111672
procedure	0.11056
measure	0.11013
system	0.10976
performance	0.109605
presence	0.109451
campaign	0.109337
organization	0.109306
demonstration	0.108985
plan	0.108081
issue	0.107898
tourism	0.107779
strategy	0.107709
interest	0.107406
employment	0.10732
role	0.107215
security	0.106939
case	0.106779
Promotion	0.105916
demand	0.105856
relationship	0.105517
theft	0.105065
environment	0.104968
trading	0.104953
investigation	0.104741
change	0.104638
group	0.104226
health	0.10422
dealings	0.103818
distribution	0.103799
discussion	0.103527
management	0.103302
Advertising	0.102813
conflict	0.102614
life	0.101682
consumption	0.101554
flow	0.101492
infrastructure	0.101335
negotiation	0.101319
contact	0.10103
meeting	0.100807
market	0.100701
Mission	0.100592
trend	0.100425
kidnapping	0.100401
bombing	0.100268
condition	0.10016
threat	0.100155
product	0.0997914
export	0.0996988
facility	0.0995711
transfer	0.099457
aggression	0.0993216
preparation	0.0990583
talk	0.0990489
inflation	0.0985247
protection	0.0984262
trafficking	0.0980566
purchase	0.0980137
task	0.0978241
gambling	0.0976021
move	0.0975895
fighting	0.097495
gathering	0.0974189
competition	0.0973497
intervention	0.097349
technology	0.0972267
relation	0.0970702
endeavor	0.0970258
progress	0.0966857
traffic	0.0966699
commerce	0.0965713
information	0.0964499
exchange	0.0963472
transportation	0.0961114
strike	0.0958833
treatment	0.0958043
inspection	0.0957832
pollution	0.0957285
arrangement	0.0955729
fund	0.0953913
matter	0.0952173
productivity	0.0952164
attempt	0.0951334
planning	0.0950216
resource	0.0950029
misconduct	0.0949879
support	0.0949211
assistance	0.0946082
enterprise	0.0944471
"military action"	0.0943448
espionage	0.0938957
protest	0.0938901
murder	0.0938261
decision	0.0936664
conspiracy	0.0936385
force	0.0935533
travel	0.0934991
study	0.0934024
law	0.0930929
opportunity	0.0930064
seminar	0.0929857
drug	0.0929037
area	0.0927717
aspect	0.0926668
aid	0.0926562
Privatization	0.0926179
politics	0.0925693
Implementation	0.0925045
deployment	0.0924659
tactic	0.0924372
raid	0.0919754
number	0.0917783
"drug use"	0.0917747
job	0.0916882
atrocity	0.0915826
site	0.0915524
improvement	0.0914122
"money laundering"	0.0913904
contribution	0.0913773
war	0.0912261
method	0.0911127
lending	0.0908734
capability	0.0908672
cost	0.0908665
regulation	0.0907125
scandal	0.0906062
purpose	0.0903432
wrongdoing	0.0903221
harassment	0.0903053
unrest	0.0903002
sport	0.0902712
assault	0.0901011
accident	0.0900243
institution	0.0899136
venture	0.0898812
expenditure	0.0897533
experience	0.0896396
arrest	0.0896072
failure	0.0895995
Rally	0.0894675
immigration	0.0892617
company	0.0892567
visit	0.089252
))
(Acton (desc 1250.89) (sims
Braintree	0.174888
Woburn	0.156346
Waltham	0.154109
Needham	0.144797
Holyoke	0.136545
Walpole	0.131482
Brockton	0.125381
Hopkinton	0.121993
Pittsfield	0.120864
Groton	0.118901
Randolph	0.118792
Falmouth	0.114975
Marlborough	0.114719
Framingham	0.113153
Westfield	0.112156
Chatham	0.11176
"Newport Beach"	0.106024
Alpharetta	0.105658
Bridgewater	0.104732
Deerfield	0.10399
Maynard	0.103115
"El Segundo"	0.10102
Gloucester	0.0996948
Emeryville	0.0995693
Andover	0.0992869
Medford	0.0977911
"East Orange"	0.0975197
Somerville	0.096912
"Fall River"	0.0958447
Quincy	0.0956703
Hyannis	0.0952678
Racine	0.0934691
"Westlake Village"	0.0922895
Watertown	0.0880735
Bingham	0.0874066
Charlestown	0.0866864
Wellesley	0.086403
Sunnyvale	0.0851892
Stockbridge	0.0851813
Calabasas	0.0850449
"Culver City"	0.0847246
Englewood	0.0846312
Menuhin	0.0842198
Beverly	0.0838797
Ipswich	0.0838625
Elgin	0.0833568
Carlisle	0.0830468
"Palm Beach Gardens"	0.0830424
Malden	0.0824038
"Woodland Hills"	0.0816892
Tarrytown	0.0815481
Norcross	0.0810292
"Thousand Oaks"	0.0810106
Middleton	0.0807439
"South San Francisco"	0.0806164
"New Bedford"	0.0804072
Dorchester	0.0799896
"Research Triangle Park"	0.0797746
Burlington	0.0794908
Dunwoody	0.0791547
ATTLEBORO	0.0782789
Rockville	0.0771463
Rockport	0.0760078
Herndon	0.0758018
Hoffmann	0.074542
Lawrenceville	0.0743428
"Hyannis Port"	0.0738244
"West Orange"	0.0733545
"Resistance Army"	0.0721681
Cupertino	0.0718039
Alameda	0.0715896
Williamstown	0.0714911
Amherst	0.071279
Lowell	0.0704051
Suwanee	0.0698989
Fairfax	0.0693353
"Round Rock"	0.0691984
Lenexa	0.0685977
Ashland	0.0684311
Dearborn	0.0684038
"Pitt County"	0.068366
"Mill Valley"	0.0683265
Northampton	0.0679209
Dalton	0.0678613
Reston	0.0670988
Lexington	0.0670839
Easton	0.0670246
Lynn	0.0669532
Stamford	0.0667994
Provincetown	0.0663281
"Woods Hole"	0.0659659
Winthrop	0.0657721
Essen	0.0655939
"Brooklyn Heights"	0.0655567
"Midtown Manhattan"	0.0655131
Nashua	0.0647066
"Overland Park"	0.0646383
Norwood	0.064638
Torrance	0.0641946
Peabody	0.0640938
Brewster	0.0640374
Melrose	0.0638598
Milton	0.0631563
Bedford	0.0631525
"Menlo Park"	0.062846
"San Mateo"	0.0621599
"Walnut Creek"	0.0619433
bethel	0.0611424
"Santa Monica"	0.0601623
Foxborough	0.0601076
Brookline	0.0598986
Winchester	0.0595561
Weston	0.0595251
Cullen	0.0591872
Danbury	0.05916
Sevastopol	0.0585771
Mansfield	0.0584445
canton	0.0584087
Hayward	0.0583625
Wichita	0.0583153
Sausalito	0.057976
"Simi Valley"	0.0574967
Warne	0.0574732
Milford	0.0572978
"Van Nuys"	0.0568985
Carrollton	0.0566383
"San Rafael"	0.0565699
"Delray Beach"	0.0564932
Roxbury	0.056381
Burlingame	0.0563235
Plano	0.056253
"South End"	0.056045
Youngstown	0.056044
Renton	0.0555704
"Silver Spring"	0.0553786
Wilmington	0.0553466
Spartanburg	0.0552488
Encino	0.0550797
Salisbury	0.0549397
"West Hollywood"	0.0547718
Kirkland	0.054477
Kraus	0.0543171
Hatfield	0.0542888
"Boca Raton"	0.0542332
"Cherry Hill"	0.0541073
"Boynton Beach"	0.053894
Fremont	0.0538152
Morristown	0.0534911
Lansing	0.0532647
Brentwood	0.0529647
"Paradise Valley"	0.0525705
Petaluma	0.052561
"Redwood City"	0.0524718
Greenfield	0.0511639
"Mountain View"	0.0509083
Hastings	0.0498964
Burbank	0.0495571
Tarzana	0.0491169
Wheaton	0.0484678
Middletown	0.0484416
"Lake Worth"	0.0484367
Carlsbad	0.0484189
Dulles	0.0484011
Bellevue	0.0483749
MINEOLA	0.0483697
Sykes	0.0483335
"La Jolla"	0.0483262
BRIGHTON	0.0483141
"Santa Cruz"	0.0482868
Secaucus	0.0479539
Allentown	0.0477332
Covington	0.0477092
Missoula	0.0472684
Sarasota	0.0466465
"Fort Lee"	0.0464397
Westport	0.0461023
Longview	0.0460735
Guadalajara	0.0460477
"San Francisco Bay Area"	0.0455369
Charlottesville	0.0452364
Duluth	0.0452194
Chatsworth	0.0451072
Pomona	0.0449734
"New London"	0.0448041
Langley	0.0447914
Pittsburg	0.0446755
Wallingford	0.0446327
Bensonhurst	0.0445524
"White Plains"	0.0443754
"Sherman Oaks"	0.0443335
Bethesda	0.0441018
LAKEWOOD	0.0440209
"South Boston"	0.0438835
Clifton	0.0438178
Bloomfield	0.0436617
Provo	0.0436521
Avon	0.0436371
Winston-Salem	0.0435185
Merritt	0.0434257
"Tarrant County"	0.0432632
))
(actor (desc 155519) (sims
actress	0.246011
performer	0.162409
musician	0.162296
artist	0.155426
writer	0.144871
singer	0.144135
dancer	0.140321
composer	0.121686
character	0.121531
star	0.121257
Playwright	0.116377
athlete	0.115727
comedian	0.115334
man	0.111056
filmmakers	0.109474
"movie star"	0.109379
guy	0.107687
filmmaker	0.107642
entertainer	0.107226
poet	0.1071
painter	0.105907
author	0.104397
politician	0.104186
woman	0.103771
designer	0.103758
director	0.103279
player	0.102741
journalist	0.102351
songwriter	0.101593
screenwriter	0.100666
teacher	0.100659
pianist	0.0987673
celebrity	0.0982305
photographer	0.0980815
kid	0.0965248
novelist	0.0954718
cast	0.0952026
choreographer	0.0932975
girl	0.090693
producer	0.0904773
"young man"	0.0900352
film	0.0900201
person	0.0891961
people	0.0884712
student	0.0872357
doctor	0.0867887
hero	0.0867345
professional	0.0860917
conductor	0.0859232
someone	0.0850591
boy	0.0844617
entrepreneur	0.0844612
movie	0.0844187
chef	0.0832029
storyteller	0.0831866
vocalist	0.0823124
friend	0.0822516
scientist	0.0818993
mother	0.0818215
comic	0.080596
architect	0.0802758
lawyer	0.0799836
golfer	0.0799296
father	0.0799105
veteran	0.0798651
executive	0.0797737
fan	0.0796357
parent	0.0795031
"young woman"	0.0792603
clown	0.0792446
driver	0.0788845
member	0.0782057
manager	0.0781969
child	0.0777612
businessman	0.0767781
teen-ager	0.0765976
scholar	0.0763178
audience	0.0760793
worker	0.0755319
pilot	0.0754779
"Tom Cruise"	0.075341
candidate	0.0745933
violinist	0.0745518
activist	0.0742818
historian	0.074242
wrestler	0.0741834
band	0.07403
comedy	0.0739286
employee	0.0736927
musical	0.073604
"football player"	0.0734697
folk	0.0733976
guitarist	0.0726793
talent	0.0725177
coach	0.0724938
brother	0.0724671
personality	0.0724619
engineer	0.0722942
lover	0.0721689
husband	0.0721
technician	0.0719423
ensemble	0.0718477
officer	0.0717022
reporter	0.0716734
wife	0.071499
guest	0.0714149
critic	0.0713029
contestant	0.0711367
academic	0.0706538
Song	0.070652
viewer	0.070633
"basketball player"	0.0706032
boxer	0.0703431
drama	0.0702024
educator	0.070194
sculptor	0.0700269
leader	0.0699111
individual	0.0698041
farmer	0.0696313
owner	0.0696173
Cop	0.0695654
Reader	0.0694356
Programmer	0.069327
figure	0.0690728
American	0.0690303
citizen	0.0687886
couple	0.0686906
performance	0.0686567
cartoonist	0.0686307
senator	0.0686219
model	0.0685125
music	0.0683084
adult	0.0680615
troupe	0.0679113
everyone	0.0678601
mom	0.0676163
fighter	0.0675556
intellectual	0.0673238
agent	0.0671081
sailor	0.0668358
Oscar	0.066655
physician	0.0666407
President	0.0666044
narrator	0.0663774
ballplayer	0.0661879
pitcher	0.0661666
nurse	0.0660807
somebody	0.0660634
"first lady"	0.0659677
son	0.065948
quarterback	0.065922
lady	0.0658804
"police officer"	0.0658263
Screenplay	0.0656564
youngster	0.0656239
family	0.0656087
"special effect"	0.0654821
daughter	0.0653075
soldier	0.0652133
editor	0.0651778
"baseball player"	0.0650271
banker	0.0649172
fellow	0.0648132
graduate	0.0647349
"leading man"	0.0647123
king	0.0646312
her	0.0645972
anyone	0.0641251
waiter	0.0640402
team	0.0639668
sister	0.0639175
"Tom Hanks"	0.0638828
superstar	0.0638738
thinker	0.0636822
creature	0.063653
others	0.0635657
participant	0.0633721
male	0.0632939
stylist	0.0632899
priest	0.0632357
show	0.0630273
script	0.0630178
host	0.062967
rapper	0.062913
magician	0.0628992
outsider	0.0628604
swimmer	0.0628562
"human being"	0.0628005
dog	0.0626574
dad	0.062395
Republican	0.0623376
"Jim Carrey"	0.0622823
"rock star"	0.062276
preacher	0.0622313
"Leonardo DiCaprio"	0.0622281
expert	0.0621909
role	0.0621244
volunteer	0.0620416
villain	0.0619621
patron	0.0618857
))
(actress (desc 81162.5) (sims
actor	0.246011
singer	0.130979
performer	0.128805
artist	0.125402
"movie star"	0.123602
musician	0.123398
dancer	0.120094
writer	0.118316
composer	0.115597
comedian	0.111318
Playwright	0.109983
filmmaker	0.108443
star	0.104925
poet	0.102348
entertainer	0.101782
choreographer	0.100239
painter	0.0995706
pianist	0.0992844
screenwriter	0.0974798
songwriter	0.0973991
novelist	0.0952209
"Golden Globe"	0.0944247
woman	0.0932199
filmmakers	0.0927252
girl	0.0918243
author	0.0914945
designer	0.090151
"young woman"	0.0901014
photographer	0.0861786
character	0.0860956
sister	0.0857413
celebrity	0.0856217
athlete	0.0848795
director	0.0847091
"character actor"	0.0846258
wife	0.0834792
mother	0.0823009
conductor	0.0801842
ballerina	0.0797975
girlfriend	0.0787785
"leading lady"	0.0777238
film	0.077704
man	0.0775526
journalist	0.0768949
musical	0.0766195
"Academy Award"	0.0762422
"fashion designer"	0.0755049
teacher	0.0754552
chef	0.0752425
Oscar	0.0751615
vocalist	0.0748319
daughter	0.0747413
hero	0.0744173
lady	0.074365
guitarist	0.0742223
violinist	0.0741529
sculptor	0.0737116
comic	0.0734829
player	0.0734339
"film star"	0.0728189
Screenplay	0.0727774
"young man"	0.0726871
producer	0.0725835
politician	0.072546
Princess	0.072231
businessman	0.0720003
architect	0.0712046
boy	0.0707745
cast	0.0698593
schoolteacher	0.0694234
movie	0.069393
comedy	0.0690776
Emmy	0.0688698
kid	0.0685866
soprano	0.068342
lover	0.0674447
rapper	0.0670541
mom	0.0669599
"black woman"	0.0667742
storyteller	0.0667282
cartoonist	0.0666147
"Gwyneth Paltrow"	0.0664975
housewife	0.0660676
cinematographer	0.0659977
drama	0.065883
guy	0.0656834
socialite	0.0655384
person	0.0651284
golfer	0.0651103
diva	0.0650036
nun	0.0648616
"little girl"	0.0647613
queen	0.0643461
starlet	0.0643166
co-star	0.0642695
cellist	0.0641377
stylist	0.0639562
dramatist	0.0639
waitress	0.0638055
lawyer	0.0637832
boxer	0.0636701
entrepreneur	0.0635079
"young girl"	0.0633412
Madonna	0.0632103
blonde	0.0631144
model	0.0630898
ensemble	0.0629722
husband	0.0629617
"football player"	0.062918
personality	0.0628841
father	0.06271
mistress	0.0624994
Song	0.0624174
heroine	0.062251
cinematography	0.0619998
"first lady"	0.0618674
stripper	0.0618403
bride	0.0616737
physicist	0.061191
couple	0.0610903
teen-ager	0.0610726
someone	0.0610334
boyfriend	0.0609198
Tony	0.0608005
doctor	0.060643
band	0.0602699
illustrator	0.0601494
acrobat	0.0598845
child	0.0598038
historian	0.0596878
teenager	0.0596642
"Marilyn Monroe"	0.0595912
friend	0.0595493
host	0.0595102
documentary	0.0594881
fiancee	0.0594073
narrator	0.0590759
"basketball player"	0.0590642
prostitute	0.0589191
wrestler	0.0588978
veteran	0.0588765
feminist	0.05877
executive	0.0585799
"rock star"	0.0583622
"baseball player"	0.0582605
Sarah	0.0582108
parent	0.0581964
nurse	0.058164
Emmys	0.0580384
student	0.0579828
statesman	0.057965
Elizabeth	0.0578206
performance	0.0578044
"jazz musician"	0.0576416
Prince	0.0575721
brother	0.0575617
clown	0.0575317
preacher	0.0574833
music	0.0574672
niece	0.0573802
creator	0.0572863
"leading man"	0.0572796
talent	0.0572715
grandmother	0.0572083
king	0.0571595
exwife	0.0570949
Mary	0.0569883
son	0.0568729
scientist	0.0567619
Diana	0.0567195
scholar	0.0565717
picture	0.0565322
homemaker	0.0565209
script	0.0564732
"Leonardo DiCaprio"	0.0564494
companion	0.0564374
Cop	0.0563693
swimmer	0.0563004
activist	0.0562912
"Meryl Streep"	0.0561695
fellow	0.0559125
priest	0.0558266
widow	0.0557678
businesswoman	0.055613
editor	0.0556012
award	0.0555101
"Cate Blanchett"	0.0554816
"Julia Roberts"	0.055431
female	0.055408
portrayal	0.0553404
soloist	0.0552632
Amateur	0.0552045
audience	0.055204
fan	0.055189
philosopher	0.0551254
professor	0.0550164
candidate	0.0549263
Grammy	0.0548833
Cook	0.0548636
"Tom Cruise"	0.0548531
))
(acts (desc 7513.73) (sims
things	0.0587067
aggression	0.0557204
atrocity	0.0546585
"sex act"	0.0506053
stabbings	0.0489368
"air attack"	0.0484665
mega-mergers	0.0477208
"direct action"	0.0461057
sodomy	0.046015
harassment	0.0458247
"bank failure"	0.0457326
vandalism	0.0456438
putsch	0.0455643
chains	0.044679
"mass murder"	0.0446596
misdeed	0.0443578
"military action"	0.0442695
Masterworks	0.0439818
mutilation	0.043218
behaviour	0.0429789
intercourse	0.0428482
offence	0.0427189
greats	0.0425661
standouts	0.0424804
provocation	0.0422762
deed	0.0421337
break-in	0.0417092
phenomena	0.0416935
reprisal	0.0412659
pogrom	0.0408279
"mechanical device"	0.0407906
"hanky panky"	0.0406549
infraction	0.0406138
indiscretion	0.0403623
varietals	0.0400944
elements	0.0400846
"heavy hitter"	0.0400473
))
(actuary (desc 3428.84) (sims
adjuster	0.126492
demographer	0.112336
auditor	0.102609
appraiser	0.102514
CPA	0.101264
accountant	0.0972501
CBO	0.0948139
"financial officer"	0.0889321
"investment adviser"	0.0876681
statistician	0.0852683
"stock trader"	0.0847443
"Congressional Budget Office"	0.0809169
solvency	0.0760897
underwriter	0.075904
"information officer"	0.0742014
"director of research"	0.0737168
"private investigator"	0.0698796
epidemiologist	0.0696252
"management personnel"	0.0690426
"drama critic"	0.0690042
anesthesiologist	0.0687447
"math teacher"	0.0684015
forester	0.0676737
technologist	0.0675514
"union representative"	0.0670623
"medical examiner"	0.0669685
"computer programmer"	0.0669417
"electrical engineer"	0.0668007
"market maker"	0.0664713
criminologists	0.0664507
Realtor	0.0659908
"insurance agent"	0.0659712
"economic expert"	0.065922
"landscape architect"	0.0658677
"air force officer"	0.0658212
"administrative official"	0.0649507
"health professional"	0.0645736
"interior designer"	0.0644103
counselor	0.0635919
"Robert Aventajado"	0.0634776
entomologist	0.0632104
psychologist	0.0630646
"investment banker"	0.062873
"civil engineer"	0.0608223
Navajos	0.0601404
Forrester	0.0599457
forecaster	0.0594548
stockbroker	0.0592661
electrician	0.0592501
"intelligence analyst"	0.0591042
Allergist	0.0589679
"English professor"	0.0581379
"certified public accountant"	0.0576645
policyholder	0.057622
veterinarian	0.0574719
exec	0.0570522
salespeople	0.0568122
"insurance broker"	0.0565608
"sales manager"	0.0564848
"campaign adviser"	0.0563356
salesmen	0.0559162
"currency trader"	0.0558011
"plastic surgeon"	0.0556576
seafarer	0.0556225
bookkeeper	0.0550097
"computer expert"	0.0549571
"hotel manager"	0.0547123
technocrat	0.0544986
lockbox	0.054389
surveyor	0.0543148
planner	0.0541092
"real estate agent"	0.054001
neurosurgeon	0.0539661
optometrist	0.0539517
"foster parent"	0.0539305
dietitian	0.0537851
"investment officer"	0.0537687
medic	0.0537313
cantor	0.0537292
assessor	0.0537017
"intelligence officer"	0.0532112
dispatcher	0.0532102
solicitor	0.0530852
plumber	0.0530099
Procurator	0.0528683
geologist	0.052854
"aerospace engineer"	0.0525048
salesperson	0.0524063
biologist	0.0523792
archeologist	0.0521195
librarian	0.052017
"World Jewish Congress"	0.0520053
physiologist	0.0519606
concertmaster	0.0519586
pharmacist	0.0516876
"executive officer"	0.0515333
"medical officer"	0.0514927
pollster	0.0514897
dentist	0.0512758
lifeguard	0.051205
"venture capitalist"	0.0511962
horticulturist	0.0510594
insolvency	0.0510044
"project manager"	0.05082
SMIs	0.0507721
trustee	0.0504861
"civil servant"	0.0503998
"spin doctor"	0.0503846
integrator	0.0503846
"skilled worker"	0.0502221
"disability insurance"	0.050185
copywriter	0.0499875
"business executive"	0.0498513
"department employee"	0.0497758
"management consultant"	0.0496
agronomist	0.0492756
headmaster	0.0492617
freelancers	0.0491612
"software engineer"	0.0491065
saleswoman	0.0490559
polygraph	0.0488895
"school superintendent"	0.0487593
"general counsel"	0.0486707
"Commission on Presidential Debates"	0.0486226
ISO@@@@	0.0486099
"house painter"	0.0484692
draftsman	0.0483353
"senior high school"	0.0480877
"public defender"	0.0480669
cadre	0.0479868
"corporate executive"	0.0478883
"clinical psychologist"	0.0478125
"naval officer"	0.0477703
meteorologist	0.0477424
pediatrician	0.0477189
warden	0.0476462
enlistee	0.0476103
"e- commerce"	0.047463
"government officials"	0.0473866
caseworker	0.0472346
scalpers	0.0471722
headmistress	0.0471532
midwife	0.0471183
"school teacher"	0.0471108
"physical therapist"	0.0470744
"Office of Management and Budget"	0.0469145
"reserve fund"	0.0468845
"state's attorney"	0.04681
caterer	0.0467996
"security consultant"	0.0467711
dermatologist	0.0467001
filtering	0.0466615
facilitator	0.0466009
Programmer	0.046575
resellers	0.0465276
techies	0.0464738
"Russian Interior Ministry"	0.0464067
taster	0.0464044
examiner	0.0462917
"eye doctor"	0.0461239
"Congressional Research Service"	0.0461055
patrolman	0.0460616
"insurance firm"	0.0460344
"school principal"	0.0460139
"Wall Street analyst"	0.0459795
petitioner	0.0459764
enrollee	0.0457749
reemployment	0.0456633
"legal expert"	0.0456259
cabinetmaker	0.0455563
"real estate developer"	0.0455085
Intimidator	0.0455024
cartographer	0.0454367
Manpower	0.0454274
"U.S. Treasury Department"	0.0454177
"price support"	0.0454107
"funeral director"	0.0453386
wonk	0.0452601
anthropologist	0.0452252
"chief financial officer"	0.0452173
toxicologist	0.0450432
"ticket agent"	0.0450033
Profiler	0.0449939
therapist	0.0449618
"research director"	0.0449443
"postmaster general"	0.0449418
"Navy Seal"	0.0448626
"temporary worker"	0.0446672
newspaperman	0.0446336
"tax collector"	0.0445614
"blood donor"	0.044532
weatherman	0.0444312
stylist	0.0443383
Litigator	0.044319
"newspaper editor"	0.044304
"point system"	0.0441751
"Board of Elections"	0.0440838
archivist	0.043981
modeling	0.0439325
"financial condition"	0.0438522
))
(acuity (desc 3795.28) (sims
subtlety	0.077325
eloquence	0.0732292
clarity	0.0730414
richness	0.0724203
agility	0.0707354
acumen	0.0692469
sharpness	0.0675015
boldness	0.0667345
poignancy	0.0661763
tenacity	0.065177
gumption	0.0650425
freshness	0.064615
flair	0.0642084
sexiness	0.0627913
brilliance	0.0622371
fluency	0.0596007
realism	0.0592459
toughness	0.0588608
dexterity	0.0577136
complexity	0.0568695
nimbleness	0.0563999
ruthlessness	0.0563146
sophistication	0.0559563
gentleness	0.0554969
ballast	0.0554677
fortitude	0.0538693
tenderness	0.0534718
naturalness	0.0531425
athleticism	0.0530658
lightness	0.0529484
alertness	0.0527947
artistry	0.0527892
inventiveness	0.0525873
"sense of humor"	0.0525251
dynamism	0.0519843
charisma	0.0518029
pathos	0.0517738
meanderings	0.0507356
shrewdness	0.0505358
Creativity	0.0502174
directness	0.0501778
unselfishness	0.0501465
earnestness	0.0500997
incapacity	0.0494001
ingenuity	0.0493502
candor	0.0492762
quickness	0.0489026
explosiveness	0.048658
specificity	0.0482355
aggressiveness	0.0479777
vitality	0.0473104
originality	0.0472791
prowess	0.0472228
impairment	0.0471401
bravado	0.0465932
fallibility	0.0459997
nuance	0.0454944
vibrancy	0.0450995
breadth	0.045093
firepower	0.0450657
underpinning	0.0450561
gaiety	0.0450167
competency	0.0449721
heft	0.0449151
coherence	0.0447761
competence	0.0443841
introspection	0.0442615
guidepost	0.0442297
immaturity	0.0440922
ardor	0.0440778
finesse	0.0439225
intellect	0.0438242
wallop	0.0436232
tact	0.0434957
resilience	0.0434125
rapture	0.0433869
soulmate	0.0432341
crispness	0.0430881
intangible	0.0430191
resonance	0.0428699
cohesiveness	0.0428265
stratagem	0.0426566
perseverance	0.042336
"inferiority complex"	0.0420883
humility	0.0420386
intimacy	0.0419111
theatricality	0.0417903
resourcefulness	0.0416873
generosity	0.0414554
stamina	0.0413864
cleverness	0.0413598
virtuosity	0.0412528
wherewithal	0.0412242
incompetence	0.0409011
Bent	0.0408957
combativeness	0.0407745
temperament	0.040768
inclination	0.0407622
"safety feature"	0.0407137
believability	0.0406998
elegance	0.0406009
constancy	0.0405933
adaptability	0.0405023
grammar	0.0403914
calisthenics	0.0403731
Rolodex	0.0402995
nicety	0.0402833
))
(acumen (desc 7818.3) (sims
prowess	0.140183
skill	0.138685
know-how	0.128971
savvy	0.127653
fortitude	0.126233
toughness	0.121052
competence	0.118506
courage	0.118366
tenacity	0.118137
perseverance	0.116936
stamina	0.114856
ability	0.112959
boldness	0.11241
charisma	0.110229
dexterity	0.109881
professionalism	0.108069
expertise	0.107144
ingenuity	0.106516
Creativity	0.105758
intuition	0.105478
foresight	0.104989
wisdom	0.104631
"sense of humor"	0.103345
dedication	0.101592
nimbleness	0.101127
resourcefulness	0.101038
intellect	0.100886
intelligence	0.100094
patience	0.0993287
sophistication	0.0980426
talent	0.0978179
finesse	0.0973487
versatility	0.0966524
wherewithal	0.0958676
virility	0.0950007
agility	0.0949793
instinct	0.0928959
honesty	0.0914292
"staying power"	0.0905095
maturity	0.0888456
explosiveness	0.0886854
determination	0.0866837
knowledge	0.0866074
capability	0.0864501
proficiency	0.0863622
sincerity	0.0861879
willpower	0.0850234
mastery	0.0845186
clout	0.0843597
bravery	0.0840371
ethic	0.0836904
athleticism	0.0833884
generosity	0.0829381
resiliency	0.0823608
willingness	0.0815005
mettle	0.0805075
resilience	0.0803561
originality	0.0803528
aptitude	0.0803283
deftness	0.0799552
diligence	0.0799097
aggressiveness	0.07935
knowhow	0.0776356
self-confidence	0.0772872
vitality	0.0770751
self-discipline	0.0765805
liveliness	0.0762528
quickness	0.0761307
"common sense"	0.0760892
credential	0.0758344
discipline	0.0757549
vigor	0.07546
devotion	0.0747654
dynamism	0.0746253
grit	0.0743585
endurance	0.0736822
enthusiasm	0.0736484
eloquence	0.0735959
shrewdness	0.0734077
compassion	0.0733395
personality	0.0731781
artistry	0.0728202
teamwork	0.0722249
persistence	0.0721033
competency	0.0719687
excellence	0.0718868
brilliance	0.0714374
wit	0.071425
vision	0.0714033
accomplishment	0.0713055
"hard work"	0.0710991
insight	0.0709999
integrity	0.0708445
passion	0.0706291
ruthlessness	0.0705005
zeal	0.0700488
loyalty	0.0700032
brainpower	0.0699202
brawn	0.0698666
durability	0.0698052
acuity	0.0692469
motivation	0.0684511
mobility	0.0683367
chutzpah	0.0680572
genius	0.0678223
inclination	0.0675687
charm	0.0671579
"raw talent"	0.0669961
innovation	0.066534
Panache	0.065592
sensitivity	0.0655793
consistency	0.0655529
humility	0.0653142
pragmatism	0.0651961
"drawing power"	0.0648848
pedigree	0.0646505
ambition	0.0646494
candor	0.0645828
musicianship	0.0644074
temperament	0.0643908
adaptability	0.0643784
empathy	0.0640566
prestige	0.0639712
imagination	0.0639386
judgment	0.0637766
spunk	0.0637394
depth	0.0635682
perspective	0.063186
efficiency	0.0631847
fervor	0.0631348
fearlessness	0.0625765
Cunning	0.0625605
awareness	0.0624065
wizardry	0.0623678
effectiveness	0.0623464
gravitas	0.0622069
curiosity	0.062163
"good fortune"	0.0619588
guile	0.0618483
objectivity	0.0614362
sportsmanship	0.0613934
verve	0.0613378
knack	0.0612514
breadth	0.0611251
sensibility	0.0610947
seriousness	0.0610607
assertiveness	0.0605552
flair	0.0604937
reflex	0.0604737
footwork	0.0603302
logic	0.0600426
dignity	0.0597977
flexibility	0.0597177
patriotism	0.0595268
statesmanship	0.0595239
stature	0.0595114
precision	0.0593908
elusiveness	0.0591751
humor	0.0590046
accuracy	0.0587652
decisiveness	0.0587257
Luck	0.0585889
"scientific theory"	0.0584376
firepower	0.0582474
"sense of responsibility"	0.0581727
prudence	0.058069
cachet	0.0579953
daring	0.0577972
cohesiveness	0.0576136
gumption	0.0574949
erudition	0.0574825
heft	0.0571745
standpoint	0.0569101
philosophy	0.0567244
selflessness	0.056628
demeanor	0.0563009
hipness	0.0560304
intensity	0.0560276
fitness	0.0559927
consultancy	0.0558017
clarity	0.055642
wealth	0.0556071
inventiveness	0.0555904
"sex appeal"	0.0555791
qualification	0.0555738
credentials	0.055444
"reaction time"	0.0551039
credibility	0.0550355
"point of view"	0.0546681
flamboyance	0.0546409
"sense of purpose"	0.0545922
self-esteem	0.0545415
pizazz	0.0545166
potency	0.0543347
cohesion	0.0542969
craftsmanship	0.0540521
viability	0.0537722
reasoning	0.0537561
self-control	0.05375
self-awareness	0.0537098
))
(acupuncture (desc 8360.19) (sims
chiropractic	0.149519
therapy	0.146022
hypnosis	0.145598
psychotherapy	0.129807
massage	0.12668
"alternative medicine"	0.116649
"physical therapy"	0.116563
TCM	0.114789
yoga	0.113786
AZT	0.105556
radiotherapy	0.103239
aromatherapy	0.102909
medicine	0.098308
ultrasound	0.0971871
tamoxifen	0.0968733
chemotherapy	0.095106
placebo	0.0921142
remedy	0.0907312
medication	0.0884344
estrogen	0.0867857
methadone	0.0867356
antibiotic	0.0841143
counseling	0.0831447
herb	0.0831413
Herceptin	0.0828322
thalidomide	0.0827826
Botox	0.0826052
"St. John's wort"	0.0821758
transplant	0.0817543
aspirin	0.0811607
Vaccine	0.0807518
mammography	0.0806069
weight-loss	0.080145
"martial art"	0.0788262
meditation	0.0781074
"surgical procedure"	0.0780106
angioplasty	0.0779041
"family planning"	0.0762899
CPR	0.0757455
Chemo	0.0755708
vitamin	0.0753248
Qigong	0.0743606
facial	0.0741095
supplement	0.0737471
"first aid"	0.0735985
healing	0.0734459
"plastic surgery"	0.0731749
painkiller	0.0728391
dialysis	0.072617
injection	0.0723684
fertilization	0.0715574
inhaler	0.0713811
contraceptive	0.0709387
Zyvox	0.0705299
echinacea	0.0701579
"genetic engineering"	0.0700465
implant	0.0687919
anesthesia	0.0686039
pill	0.0684643
dermatology	0.068358
nevirapine	0.0678436
interferon	0.0678213
lifesaving	0.067784
creatine	0.0674614
circumcision	0.0674037
inhibitor	0.0674003
sensing	0.0671908
"birth control"	0.0663931
hormone	0.0662953
detoxification	0.0660314
"cosmetic surgery"	0.0656997
liposuction	0.0656005
LASIK	0.0654101
viagra	0.0653312
surgery	0.0649149
vaccination	0.0645583
radiology	0.0643829
imaging	0.0642714
leptin	0.0636017
andro	0.063063
rehabilitation	0.0627972
telemedicine	0.0627407
abstinence	0.0627016
stimulation	0.0626994
ENBREL	0.0624807
Contraception	0.0623067
Endostatin	0.0622986
agronomy	0.0621059
telomerase	0.0618933
radiation	0.0617796
astronomy	0.0615723
raloxifene	0.0614653
"growth hormone"	0.0611376
sterilization	0.0609466
transplantation	0.0609298
geriatrics	0.0608257
"dental care"	0.0608024
triage	0.0605482
nutrition	0.0604174
"mental health"	0.059222
visualization	0.0588933
"veterinary medicine"	0.0585729
genetics	0.0584032
psychoanalysis	0.0580062
"medical science"	0.0577941
melatonin	0.057709
shui	0.0574814
angiogenesis	0.0574379
"artificial insemination"	0.0561226
pedicure	0.0560154
dentistry	0.0560154
ketamine	0.0559096
antacid	0.0554517
"beauty parlor"	0.0553675
"substance abuse"	0.0552385
"nitric oxide"	0.0551931
Rezulin	0.0551136
nursing	0.0549675
ointment	0.0548064
irradiation	0.0546928
outpatient	0.0545565
capsaicin	0.05439
antihistamine	0.0543795
biopsy	0.0541217
Buddhism	0.0541029
hGH	0.0540467
TPA	0.053991
hemophilia	0.053976
"skin care"	0.0539085
Ritalin	0.0538997
"medical care"	0.053851
biotechnology	0.0536925
astrology	0.0535347
Celebrex	0.0534438
"electric shock"	0.0532855
leukemia	0.053262
Paxil	0.0532388
psychology	0.053011
Diet	0.0529217
"amino acid"	0.0527392
"sign language"	0.0524145
kava	0.0522719
"vocational training"	0.052249
fertility	0.0521605
antioxidant	0.0520415
mammograms	0.0520085
hospitalization	0.0518059
STD	0.0517467
marijuana	0.0517377
immunization	0.0516852
"prescription drug"	0.051452
psychiatry	0.0512197
screening	0.0510856
"blood test"	0.0510571
"social science"	0.0507395
androstenedione	0.0506096
"preventive medicine"	0.0501959
syringe	0.0499567
C-section	0.0498938
genomics	0.0498106
diabetes	0.0497933
"blood transfusion"	0.0496173
"information gathering"	0.0490246
"magnetic resonance imaging"	0.0490217
regimen	0.0489895
eight-week	0.0489841
Prozac	0.0488452
stents	0.0487942
penicillin	0.04872
laser	0.0486693
"medical instrument"	0.0486161
cannabis	0.0485577
prevention	0.0485382
infertility	0.0485273
acupuncturist	0.0484199
"teaching method"	0.0482826
Tonic	0.0482048
baldness	0.0480433
transfusion	0.0479758
REPELLENT	0.0478875
inpatient	0.0474991
needle	0.0474641
enema	0.0473888
anesthetic	0.0473171
cryptography	0.0472208
"fresh food"	0.0471363
insulin	0.0468405
endoscope	0.0467795
bathing	0.0466346
"computer technology"	0.046567
"health food"	0.046426
fingerprinting	0.0464037
Obesity	0.0463657
dosage	0.0462454
phonics	0.0461775
Tibetan	0.046088
fasting	0.045782
"drug addiction"	0.0455862
mathematics	0.0454125
"contact lense"	0.0453861
))
(acupuncturist (desc 1524.44) (sims
"physical therapist"	0.122286
chiropractor	0.0978387
therapist	0.0800228
"clinical psychologist"	0.077176
internist	0.0765138
dietitian	0.0731806
masseuse	0.0726098
bricklayer	0.0719336
optometrist	0.0716578
nutritionist	0.0712991
"eye doctor"	0.0696394
orthodontist	0.0685253
pharmacist	0.0675719
gynecologist	0.0647604
obstetrician	0.0640366
biochemist	0.0640223
"registered nurse"	0.0617295
herbalist	0.0610466
dermatologist	0.0592687
"aerospace engineer"	0.0581441
anesthesiologist	0.0572245
immunologist	0.0565851
ophthalmologist	0.0549347
"guardian angel"	0.0549228
"Secretary of Commerce"	0.053094
trapper	0.0529581
oncologist	0.0527559
neurosurgeon	0.0522642
midwife	0.0519261
"sea captain"	0.051471
cardiologist	0.0508642
exterminator	0.0507472
hairdresser	0.0495702
thyroid	0.0490236
"engagement ring"	0.0486433
paramedic	0.0484535
acupuncture	0.0484199
"real estate agent"	0.0477587
editorialist	0.0475778
ethicists	0.0471465
"private investigator"	0.0467224
electrician	0.0462669
Sang	0.045935
accompanist	0.0457552
vaulter	0.0452537
"Southern Command"	0.0450791
flack	0.0449987
hairstylist	0.0446456
"interior designer"	0.0445061
"health professional"	0.0444905
"art teacher"	0.0443183
reagent	0.0441712
"computer programmer"	0.0440283
physiologist	0.0435477
actuary	0.0434978
"English teacher"	0.0434892
horticulturist	0.0434786
"foster mother"	0.0434077
clinician	0.0433792
cabdriver	0.0423696
illustrator	0.0421749
exerciser	0.0420986
radiologist	0.0420867
"ticket agent"	0.0412269
"AIDS activist"	0.040471
"battle plan"	0.0403071
appraiser	0.0402218
Ecuadorian	0.0401277
))
(Acura (desc 3727.43) (sims
Audi	0.228466
Infiniti	0.226052
"Mercedes Benz"	0.222884
Lexus	0.221895
Cadillac	0.202089
Mercedes-Benz	0.193485
Saab	0.18548
Porsche	0.167558
Buick	0.162154
"Land Rover"	0.161485
BMW	0.159336
Nissan	0.155311
Mercedes	0.152791
Volvo	0.149086
Mazda	0.141244
Oldsmobile	0.134896
Toyota	0.134812
Volkswagen	0.133843
Passat	0.131408
VW	0.131198
Skoda	0.130178
Subaru	0.129661
Opel	0.127976
Honda	0.127081
Peugeot	0.115899
Citroen	0.114892
Chrysler	0.113682
Saturn	0.108957
Fiat	0.102497
subcompact	0.101407
Jetta	0.100762
Camry	0.0994463
Isuzu	0.0990875
Jaguar	0.0980906
Bentley	0.0973642
"Ford Focus"	0.0953207
Pontiac	0.0945448
"Rolls Royce"	0.0911745
Mitsubishi	0.0901909
Lincoln	0.0863059
Porsches	0.085818
impala	0.0854059
GMC	0.0835285
hatchback	0.0801858
Hyundai	0.0799336
"Ford Taurus"	0.0797851
rover	0.0784195
BMWs	0.0775142
Camaro	0.0771942
S@@	0.0767077
Rolls-Royce	0.0760086
Plymouth	0.0737297
Packard	0.0736549
Daimler-Benz	0.0731256
Taurus	0.0728404
"Chevrolet Monte Carlo"	0.0723534
Ferrari	0.0718898
Suzuki	0.0715773
Thunderbird	0.071176
Kia	0.0709722
Prius	0.0707304
DaimlerChrysler	0.0700528
Harley-Davidson	0.0684208
Renault	0.0683672
Yamaha	0.067594
DeVille	0.0671672
C@@	0.0670631
corvette	0.0664599
Budweiser	0.065827
"Jeep Grand Cherokee"	0.0657912
jeep	0.0653721
Maxima	0.0649473
Chevy	0.0645443
Hummer	0.0645353
"Toyota Corolla"	0.064239
Chevrolet	0.0640139
Daewoo	0.0636401
Duracell	0.0609343
Panasonic	0.0608032
GT	0.060438
Sedan	0.0600075
RCA	0.0596156
"New Beetle"	0.0595685
minivan	0.0592963
two-seater	0.0592817
roadster	0.0592541
"Range Rover"	0.059119
"General Motors"	0.0585434
Corolla	0.0583584
Mustang	0.058173
Hitachi	0.057025
WINDSTAR	0.0555437
AutoNation	0.0555414
Alero	0.0552479
"Jeep Cherokee"	0.0552139
V@@	0.0548764
Stratus	0.0546876
"New Labor"	0.05466
"Ford Mustang"	0.0543563
Ferraris	0.0537607
Mitsui	0.0531773
Harley	0.052622
"Toyota Camry"	0.0524178
Samsung	0.0523658
midsize	0.0521485
Steinway	0.0518703
a@	0.0514269
"ugly duckling"	0.0512542
convertible	0.0507359
Z@	0.0503594
NIKE	0.0501117
"pickup truck"	0.0498973
"Honda Accord"	0.0496485
Sony	0.0495846
mercury	0.0492577
Fujitsu	0.0490412
Buicks	0.0487724
"Ford Expedition"	0.0487491
"Top Fuel"	0.0485381
ESCALADE	0.0483438
Maytag	0.0481564
G@@	0.0480455
"passenger car"	0.0474973
Sprite	0.0474356
"station wagon"	0.0472067
emulator	0.0470335
Santana	0.0468912
Northpoint	0.0467523
"Monte Carlo"	0.0465248
Kawasaki	0.0462663
NHRA	0.0459658
"auto maker"	0.0459623
Lamborghini	0.0456899
Cyrix	0.0456353
MG	0.0456251
automakers	0.045221
videophone	0.0451239
Siemens	0.0449958
Haagen-Dazs	0.0445634
"electric car"	0.0444931
wagon	0.0441271
SUV	0.0440433
"Sprint PCS"	0.0440066
RV	0.0438536
Proton	0.0438509
"Estee Lauder"	0.0436297
"Old Navy"	0.0436187
Bayer	0.043606
flagship	0.0433047
Spring/Summer	0.0432434
"Ford Explorer"	0.0432001
"John Deere"	0.0427992
Pontiacs	0.0427579
Pitney	0.0427048
Jude	0.0425328
stent	0.0425221
"Lincoln Town Car"	0.0424773
Coupe	0.0422504
"Dow Jones &AMP; Co."	0.042231
ECN	0.0420989
Truffaut	0.0420085
V-@	0.0419873
Firestone	0.0419085
Paciello	0.0418044
"sports car"	0.0417488
imp	0.0417416
Philips	0.0416815
camcorder	0.0413762
"summer house"	0.0411864
BMG	0.0411266
"Busch Grand National"	0.0411063
"Pepperidge Farm"	0.0409565
VICKERS	0.0409271
"Busch Series"	0.0408918
S-@@	0.0408861
Pepsi	0.0408185
armband	0.0407883
docker	0.0406947
Hanes	0.0402813
"Chevrolet Suburban"	0.0400954
CompuServe	0.040069
))
("Acura Classic" (desc 1766.23) (sims
"Hamlet Cup"	0.32557
"German Open"	0.304575
"Kremlin Cup"	0.260971
"Grand Slam Cup"	0.25038
"Maurier Open"	0.233468
"Federation Cup"	0.226982
"Italian Open"	0.226954
"ATP Championship"	0.21558
"Swiss Open"	0.214361
"Canadian Open"	0.213137
"Stockholm Open"	0.212752
"Hong Kong Open"	0.212222
"Japan Open"	0.197462
"Louis Vuitton Cup"	0.195348
"Paris Open"	0.19272
"National Invitation Tournament"	0.191118
"Libertadores Cup"	0.181694
"Hopman Cup"	0.181326
"Lipton Championships"	0.178648
"Uber Cup"	0.175298
"Champions Cup"	0.168305
"European Champions Cup"	0.167694
"Midwest Regional"	0.161413
"Chase Championships"	0.15839
"West Regional"	0.157535
"Asian Cup"	0.153888
Maurier	0.138433
"World Team Cup"	0.138221
"South Regional"	0.128143
"Copa America"	0.127696
"Little League World Series"	0.127595
"Davis Cup World Group"	0.124116
"European Champions League"	0.122326
"Fed Cup"	0.119825
"U.S. Amateur"	0.11359
"Australian Open"	0.112634
"Confederations Cup"	0.11165
hardcourt	0.111401
"Thomas Cup"	0.110619
ATP	0.110121
Eastbourne	0.109703
"Big Sky Conference"	0.108215
"F.A Cup"	0.107656
"African Cup"	0.106921
"ATP Tour World Championship"	0.103194
"Gold Cup"	0.101797
"World Table Tennis Championships"	0.10031
WTA	0.100269
"League Cup"	0.100008
"European Cup"	0.0995275
epee	0.0993622
"European Championship"	0.0990962
"Wimbledon Tennis Championships"	0.0981604
"U.S. Senior Open"	0.0970062
WCC	0.096652
"French Open"	0.0955343
"Nations Cup"	0.094601
"stroke play"	0.0938301
"UEFA Cup"	0.0933741
"field hockey"	0.0913033
"European Championships"	0.091082
"African Nations Cup"	0.0909722
"ATP Tour"	0.0897082
Essen	0.0888389
"National Collegiate Athletic Association"	0.0878761
"FA Cup"	0.0877143
"Nissan Open"	0.0870139
"Sudirman Cup"	0.0857183
"East Regional"	0.085309
nit	0.0852643
"Champions League"	0.0840552
"match play"	0.0834909
"Euro @@@@"	0.0832242
"Italian Cup"	0.0822921
GP	0.0821729
"World Championship"	0.08199
scull	0.0812993
"World League"	0.0807833
three-meter	0.0799572
"Skate America"	0.079099
"Buick Invitational"	0.0787068
"WTA Tour"	0.0784621
"World Group"	0.0780944
tourney	0.0772988
"Southwest Conference"	0.0771691
"Dunhill Cup"	0.0771416
"United States Open"	0.0766012
Asiad	0.0763866
"Big West"	0.0755263
volleyball	0.0742734
pre-Olympic	0.0740037
"Cup Winners Cup"	0.0723574
"Division @"	0.0717195
badminton	0.071716
"ice hockey"	0.0714038
"Loch Lomond"	0.0713754
"Chinese Basketball League"	0.0697843
"World Basketball Championship"	0.068881
Lipton	0.068582
"Davis Cup"	0.0675746
snooker	0.0675542
"Conference USA"	0.0673436
Edgbaston	0.0670779
"US Open"	0.0670042
"Dorothy Chandler Pavilion"	0.0664856
"water polo"	0.0663835
EuroLeague	0.0662016
"Pan Pacific"	0.0654617
"Mastercard Colonial"	0.0654149
"Buick Classic"	0.0646963
"Big Sky"	0.0636908
CONCACAF	0.0631283
backstroke	0.0622323
"Big East"	0.0611902
"Western Open"	0.0610222
"Legg Mason"	0.0608044
skeet	0.0602522
Leipzig	0.0602419
"English Football Association"	0.0593699
"basketball league"	0.0590435
"Western Athletic Conference"	0.0583958
best-of-@	0.0583813
"Donn Handicap"	0.0583636
"table tennis"	0.0583495
"Basketball Championship"	0.0576318
"Atlantic Coast Conference"	0.0571899
handball	0.0561685
"NCAA Tournament"	0.0558114
"Sydney Olympic"	0.0556144
nightcap	0.0555598
"one million US dollars"	0.055503
CAA	0.0554919
pentathlon	0.0553685
"Atlanta Olympic"	0.0552164
"Playboy Mansion"	0.0544007
MCC	0.0541968
"Goodwill Games"	0.0539855
breaststroke	0.0538438
"Home Run Derby"	0.0535495
WAC	0.0534981
under-@@	0.0525276
"first cup"	0.052158
Futurity	0.0521226
dressage	0.0518288
biathlon	0.0517137
LPGA	0.0516102
billiards	0.0514492
"Indian Wells"	0.0514379
"professional golf"	0.0508781
steeplechase	0.0506255
"Volleyball Championship"	0.0498214
"Commonwealth Games"	0.0495392
"NEC Invitational"	0.0494994
"Jewish Community Center"	0.049447
USTA	0.0493762
"round robin"	0.0492275
"Orange County Register"	0.0490513
"Simon Wiesenthal Center"	0.0484693
"ski jump"	0.0482326
rowing	0.0479653
"Roland Garros"	0.0479039
luge	0.0476716
"MLS Cup"	0.0475662
repechage	0.0475176
"Volleyball Grand Prix"	0.0474194
Ibo	0.0474154
"Phoenix Open"	0.0470611
"Museum of Contemporary Art"	0.0467437
PBA	0.0466806
archery	0.0463541
"Summer Olympics"	0.0458216
"Group A."	0.0452846
"Shrine Auditorium"	0.0450842
C-USA	0.0450483
A-@@	0.0450307
"semi- finals"	0.0448666
"horizontal bar"	0.0447735
"ski jumping"	0.0442756
Eurobond	0.0439996
NCAAs	0.0437775
"Memorial Tournament"	0.0435951
Consul-General	0.043516
Spago	0.0434891
"California State University"	0.0433875
"Field Poll"	0.0431814
"won nine"	0.0430048
"Holiday Bowl"	0.0428337
"figure skating"	0.0428302
"Louisiana Derby"	0.0427262
selloffs	0.0426067
"Tour Championship"	0.0424605
rainout	0.0422413
Filderstadt	0.0421564
"hammer throw"	0.0421259
layover	0.0419502
regionals	0.0419012
taekwondo	0.0418424
"England Club"	0.0418101
"Southeastern Conference"	0.0417107
"American Film Institute"	0.0416936
))
(acute (desc 2332.13) (sims
endemic	0.0733655
"cash crunch"	0.0620145
heartening	0.0603246
"liquidity problem"	0.0589521
eye-opening	0.0581199
Greater	0.0575301
"hot flash"	0.0560144
"blood cell"	0.0558381
"important person"	0.0555968
sharper	0.05536
user-friendly	0.0548801
"break of serve"	0.0532761
expedient	0.0531032
"Fortune Global Forum"	0.0530403
centenarian	0.0519668
non-issue	0.0519226
Americanized	0.0518248
"asthma attack"	0.051815
BRITTLE	0.0518069
Englishwoman	0.0516814
hawkish	0.0516795
Dysentery	0.0511147
uninsured	0.0509921
gangrene	0.0503825
"elbow room"	0.0502975
"accounting problem"	0.0502205
around-the-clock	0.0497221
"animal fat"	0.0496142
whiplash	0.0492065
paraplegic	0.0491279
pandemonium	0.0491032
mainlanders	0.0487373
"engine failure"	0.048653
aneurysm	0.0485916
accepting	0.048161
offstage	0.0480871
"dramatic event"	0.0480519
morbidity	0.0477564
"solid ground"	0.0467638
cockiness	0.0467109
schematic	0.0463505
"internment camp"	0.0463297
showplace	0.0461602
"margin call"	0.0457137
side-effects	0.0455181
"achilles tendon"	0.045201
pizazz	0.0450581
flexor	0.0449506
market-oriented	0.0448534
aperitif	0.0447812
indigestion	0.0445418
"panic attack"	0.0444917
pep	0.0443834
isolationist	0.0440672
antigen	0.0440227
"lead poisoning"	0.0438355
proactive	0.0437871
"cause celebre"	0.0437264
longer	0.0436274
"two baskets"	0.0434256
"sacred cow"	0.0433033
intangible	0.0431927
wrongdoer	0.0430111
"neurological disorder"	0.0429673
antibody	0.0426964
bottleneck	0.042674
"mental disorder"	0.0423923
widget	0.042379
"bubonic plague"	0.0421449
"mental anguish"	0.0416699
agnostic	0.0415059
spunk	0.0414732
"AIDS activist"	0.0414678
"guardian angel"	0.0413835
rollovers	0.041363
hemophiliac	0.0413275
"AIDS patient"	0.0413169
downtime	0.041302
"Lyme disease"	0.041119
"goose bumps"	0.0410227
cirrhosis	0.0409009
ugliness	0.0407553
spacewalks	0.0405741
picky	0.0405336
"surface area"	0.0404478
Matasareanu	0.0403642
"vitamin C"	0.040292
groundouts	0.0401058
))
(acw (desc 2848.14) (sims
mb	0.344273
scl	0.267304
MJ	0.22441
RB	0.146246
djw	0.122108
cph	0.115991
SP	0.114093
TC	0.107156
EDT	0.097467
cb-parf	0.0944297
"Radio Uganda"	0.0919539
vi/gm	0.0842291
parf-dgs	0.0834435
SW	0.0824635
er	0.082325
ad/ji	0.0814344
ad/gm	0.0796757
JC	0.0776308
FD	0.0757256
GB	0.0752213
CB	0.0700761
djp	0.0681451
mj-kg	0.0663622
dm-jh	0.0657357
aos	0.0654283
db	0.0647049
ad/adc	0.0646872
JP	0.0644735
hjf	0.0643785
Nickelodeon	0.062424
parf-ip	0.059808
eb	0.0587268
"Paul Cayard"	0.0551482
sms/ji	0.0550458
scw	0.0544917
jc/bk	0.0517053
ADC	0.0513587
JH	0.0512899
Hurriyet	0.0512036
Ji	0.0492583
"local time"	0.0479465
nw/ls	0.0464699
"Islamic Republic News Agency"	0.0449269
rjm	0.0444869
JT	0.0441215
"holy day"	0.043434
YUGOSLAVIA-KOSOVO	0.0433328
nw/gm	0.0432396
Reynard-Honda	0.0423219
marks/@@@kg	0.0422441
PRICETAG	0.0419503
KPL	0.0417313
sf	0.0413164
sms/adc	0.0406284
meticais	0.0400241
))
(ACWF (desc 1599.22) (sims
CPAFFC	0.272332
ACFTU	0.248963
"All-China Journalists Association"	0.178409
CCPIT	0.171842
"All-China Youth Federation"	0.163171
SPC	0.161828
CNOOC	0.15397
ARATS	0.149185
ICBC	0.144985
CCF	0.140529
"Association for Friendship"	0.139008
"U.S. Soccer Federation"	0.134281
"Beijing Municipal Government"	0.130498
CFA	0.1293
CASS	0.121771
"China Council"	0.119592
CNPC	0.119314
CITIC	0.118429
"China Association for Science"	0.11548
CCB	0.112492
"EU Commission"	0.109002
OCA	0.108975
Qinghua	0.108364
UMNO	0.102885
"Ministry of Supervision"	0.102744
CAS	0.0990957
"Public Security Ministry"	0.0990735
Eximbank	0.098978
"All-China Federation"	0.0989525
"Medical Society"	0.0979446
"Chinese Olympic Committee"	0.097245
"Ford Motor Company"	0.0966568
"Tang Jiaxuan"	0.0964404
BOC	0.0960614
"CBS Sports"	0.0960473
ICA	0.0957256
"Chinese government"	0.0946401
CNTA	0.0945384
"Association for Relations Across"	0.0937452
CMA	0.0934628
"State Family Planning Commission"	0.093134
BSA	0.0930729
"Visa International"	0.0928539
CWA	0.0913596
HKFA	0.0911475
CIRC	0.0906666
"Olympic Council of Asia"	0.0905755
Kiribati	0.0890839
"China National Petroleum Corporation"	0.0889102
HKTA	0.088027
IEC	0.0878896
SDB	0.0873977
PICC	0.0867995
"State Environmental Protection Administration"	0.0866153
CAF	0.0865538
"American Association of Health Plans"	0.086525
NPC	0.0852118
EBRD	0.0852088
"Foreign Affairs Committee"	0.0851865
CPPCC	0.0851413
AEC	0.0844759
"Turner Sports"	0.0838609
"International Department"	0.0837225
"China Society"	0.0835726
ITTF	0.0828484
"Red Cross Society"	0.0821294
NARAL	0.0820596
"Con Edison"	0.0818404
MOFTEC	0.0818219
CPV	0.081199
CPC	0.0810104
"International Ski Federation"	0.080846
MSF	0.0804749
"Transport Ministry"	0.08041
COSCO	0.0801343
"International Skating Union"	0.0794631
"U.S. Golf Association"	0.0793603
"Australian Olympic Committee"	0.0789482
SDPC	0.0789425
"Xinhua News Agency"	0.0786925
"Central Committee"	0.0780852
SDP	0.077857
"Health and Welfare Ministry"	0.0768277
"CPPCC National Committee"	0.0763825
"Federal Reserve Bank of New York"	0.0762956
"Independence Party"	0.0755393
PSE	0.0754756
CCA	0.0750494
"Education Ministry"	0.0750466
"Council of State"	0.075018
DLC	0.0749354
AmCham	0.0740864
"United Way"	0.0739416
"Handgun Control Inc."	0.0735348
"International Brotherhood"	0.0734925
KPA	0.0733777
"municipal government"	0.0731984
CPP	0.0731245
ICRC	0.0730404
"International Badminton Federation"	0.0728033
"International Amateur Athletics Federation"	0.0725754
PBA	0.0723156
IPU	0.0720294
"Zhejiang University"	0.0720074
Bundestag	0.0717911
teamster	0.0716957
"Russian Defense Ministry"	0.0716864
"European Commission"	0.0711566
"National Council of La Raza"	0.0711181
"Wu Yi"	0.0710522
ISU	0.0709808
PBOC	0.0709732
"Supreme People"	0.0709289
"Party School"	0.0707753
SCLC	0.0705786
UCI	0.070474
"Shanghai Municipal Government"	0.0704068
"Ministry of Education"	0.0703612
"Commerce Ministry"	0.0702531
"Gulf Air"	0.0700889
"Southeastern Legal Foundation"	0.0698368
"Ministry of Forestry"	0.0694732
CAAC	0.0692083
ADB	0.0690279
"Clinton Administration"	0.0689109
"United Auto Workers"	0.068663
"Cambodian People's Party"	0.0685265
NAACP	0.0684714
CSRC	0.0681962
ENTREMED	0.0680532
"Ministry of Culture"	0.0679499
"Handgun Control"	0.0678898
"Thai Commerce Ministry"	0.0677149
"Congress (NPC) Standing Committee"	0.0676057
"USA Basketball"	0.0674525
UNIP	0.0671794
UNIDO	0.0671458
"Information Ministry"	0.0671392
"Ministry of Justice"	0.0668845
CRI	0.0668467
"Andean Group"	0.0668061
"Chinese Academy of Sciences"	0.066684
"China National Tourism Administration"	0.0663734
"Thai Farmers Bank"	0.0662063
"State Education Commission"	0.0658874
"senior class"	0.0658406
"Chinese Foreign Ministry"	0.0657187
"Thai Foreign Ministry"	0.0655773
"Congress Standing Committee"	0.065279
"Labor Ministry"	0.0651126
"Party Central Committee"	0.0649146
"Labor office"	0.0647949
"International Tennis Federation"	0.0647173
"House Democrats"	0.0646638
"HKSAR Government"	0.0645481
"CPC Central Commission for Discipline Inspection"	0.0642412
"NPC Standing Committee"	0.0641338
"Nuclear Regulatory Commission"	0.0639407
"machinists union"	0.0639195
ZCTU	0.0638887
"Fu Quanyou"	0.0638879
PDVSA	0.0638077
"Korean Air"	0.0637668
BSF	0.0637219
"Industrial and Commercial Bank of China"	0.0635601
EC	0.0635153
"Chi Haotian"	0.0632488
Laban	0.0632013
USOC	0.0631872
"Shi Guangsheng"	0.063013
Sinopec	0.0628887
"Qian Qichen"	0.0628594
"Rotary International"	0.0627813
"United Malays National Organization"	0.0627522
"U.S. Chamber of Commerce"	0.0627323
"Bank of China"	0.0626679
"International Cycling Union"	0.0626494
"Allied Pilots Association"	0.0626176
MMD	0.0625534
"Asia Society"	0.0623876
IMG	0.0623842
"Industry Ministry"	0.0623492
"Development Research Center"	0.0618479
"International Amateur Athletic Federation"	0.0617843
USTA	0.0617416
"Ministry of Finance"	0.0615897
"National Committee"	0.0615816
"private corporation"	0.0613837
"National Audubon Society"	0.0610079
IFC	0.0608682
"U.S. Olympic Committee"	0.0605706
HKMA	0.0605456
"Legend Group"	0.0603412
Bundesbank	0.0603319
CBI	0.0602927
"Benevolent Association"	0.0602794
"Beijing University"	0.0598176
"State Planning Commission"	0.0597107
"Ministry of Foreign Trade and Economic Cooperation"	0.0596634
"trade union"	0.0596398
))
(AD (desc 153996) (sims
advertisement	0.301525
commercial	0.249987
Advertising	0.226597
"ad campaign"	0.145138
"advertising campaign"	0.138036
article	0.125751
campaign	0.125337
"TV commercial"	0.122038
poster	0.11407
message	0.112768
billboard	0.109781
letter	0.108358
movie	0.107804
book	0.107762
speech	0.107517
story	0.106897
video	0.106455
"newspaper ad"	0.105976
film	0.104801
brochure	0.104526
headline	0.102722
picture	0.101992
mailings	0.10133
report	0.100119
show	0.0998084
image	0.0994623
page	0.0993534
magazine	0.0967403
site	0.0967096
coverage	0.0957751
photograph	0.0945418
program	0.0943795
statement	0.0930466
logo	0.092124
comment	0.091907
catalog	0.0910328
photo	0.090045
programming	0.0898435
interview	0.089787
document	0.088902
cartoon	0.0888148
Promotion	0.0885379
tactic	0.0884784
remark	0.0881687
proposal	0.0877404
print	0.0873806
spot	0.0868686
product	0.0866141
marketing	0.0861328
Song	0.0853695
information	0.0844385
plan	0.0843241
publication	0.0843011
news	0.0837147
slogan	0.0833021
email	0.0828713
editorial	0.082566
account	0.0825008
service	0.082433
column	0.082374
announcement	0.0819468
item	0.0817381
broadcast	0.0817241
Mail	0.0815477
"phone call"	0.0808587
call	0.0808517
version	0.0806694
endorsement	0.0799742
strategy	0.0799396
music	0.0798419
sign	0.0797529
software	0.0796119
material	0.0795862
attack	0.079301
television	0.0790488
episode	0.0790227
debate	0.0788385
initiative	0.0787291
bill	0.0786737
poll	0.0783174
name	0.0782441
documentary	0.0781432
merchandise	0.0780549
appearance	0.0779856
publicity	0.0778593
sale	0.0776679
word	0.0775046
content	0.0773461
banner	0.0773197
work	0.0771999
blitz	0.0770348
flier	0.0770217
essay	0.0769054
activity	0.0768339
commentary	0.0766964
criticism	0.0763037
brand	0.075866
text	0.0758634
paper	0.0757103
lawsuit	0.0754978
question	0.0754118
piece	0.0754028
money	0.0753341
rhetoric	0.0753303
series	0.075236
media	0.0752244
script	0.0752114
campaigning	0.0751444
pamphlet	0.0750898
idea	0.0750368
painting	0.0749723
claim	0.0748621
label	0.0747449
project	0.0743999
listing	0.074385
effort	0.0742095
clip	0.0742008
event	0.0740993
research	0.0740909
business	0.0740771
feature	0.0739718
action	0.0739192
donation	0.0738965
deal	0.0737862
card	0.0737461
profile	0.0733797
TV	0.0732766
recipe	0.0731683
sticker	0.0731569
design	0.073125
display	0.0730823
legislation	0.0727425
study	0.0726619
leaflet	0.0720689
package	0.0720284
novel	0.0719379
thing	0.0719375
collection	0.0717761
note	0.0716829
joke	0.0715781
policy	0.0715554
newspaper	0.0715153
it	0.0714158
style	0.0713345
special	0.0710421
measure	0.0709087
offering	0.0705741
language	0.0705338
propaganda	0.0703834
performance	0.0703458
Entertainment	0.0703229
exhibit	0.0701791
contribution	0.0701592
survey	0.0700899
scene	0.0697755
"television show"	0.0697467
case	0.0696623
"news report"	0.0696504
testimony	0.0695274
stuff	0.0694976
store	0.0694089
list	0.0693607
accusation	0.0692765
"TV show"	0.0692381
fund	0.0691034
ticket	0.0688456
writing	0.0687789
application	0.0687173
T-shirt	0.0685866
address	0.0685312
"news story"	0.0685123
contest	0.0685082
review	0.0683826
model	0.068382
"tax cut"	0.0681989
literature	0.0681178
argument	0.0681167
"marketing campaign"	0.0679255
machine	0.0676787
memo	0.0676539
scheme	0.0676134
suit	0.067503
operation	0.0674318
complaint	0.0673166
newsletter	0.06727
suggestion	0.0672118
Computer	0.0670772
technology	0.0670638
"talk show"	0.0670136
outlet	0.0669586
system	0.0668682
response	0.0667217
shopping	0.0666984
approach	0.0666932
issue	0.0665762
toy	0.0663554
that	0.0662623
"telephone call"	0.0662555
Internet	0.0662447
decision	0.0661991
))
("ad agency" (desc 9222.05) (sims
"advertising agency"	0.270607
"Fallon McElligott"	0.121618
"accounting firm"	0.10765
"brokerage firm"	0.102037
"publishing company"	0.0994447
"trucking company"	0.0971713
"brokerage house"	0.0921173
"consulting firm"	0.0916109
brokerage	0.0877875
bottlers	0.0853782
"travel agency"	0.0852707
"cable operator"	0.0849802
"consulting company"	0.0846358
"banking company"	0.0819797
"Mather Worldwide"	0.0808323
"auction house"	0.0806527
brewery	0.0797412
resellers	0.0788061
"bus company"	0.0787891
"Saatchi &AMP; Saatchi"	0.0787474
"publishing house"	0.0783585
"shipping company"	0.0774321
"employment agency"	0.0763198
"auto maker"	0.0750737
"auto manufacturer"	0.0748801
dealership	0.0742795
"life insurer"	0.0737444
"trade association"	0.0735595
"TV station"	0.0733002
bottler	0.071637
"venture capitalist"	0.0715818
"food company"	0.071514
"futures exchange"	0.0707086
"phone company"	0.0703801
"radio station"	0.0694964
"retail chain"	0.0692041
"television station"	0.0690517
retailer	0.0688137
"television network"	0.068789
wholesaler	0.0686004
distributor	0.0683637
winery	0.0683391
marketer	0.0682332
"telephone company"	0.0681633
multinationals	0.067877
"printing company"	0.0677699
marketers	0.0676742
affiliate	0.067671
"insurance company"	0.0673461
"auto company"	0.0669734
provider	0.06658
"home builder"	0.0662978
"nonprofit organization"	0.0661316
designer	0.0657908
corporation	0.0657795
"retail store"	0.0656567
stockbroker	0.0656302
insurer	0.0655406
caterer	0.0654998
ISPs	0.065359
developer	0.0645233
"investment adviser"	0.0643811
"chain store"	0.0642963
"electronics company"	0.0642828
nightspot	0.0641957
"investment house"	0.0641925
"business organization"	0.0641798
"Hollywood studio"	0.0640806
"power company"	0.0640756
"toy retailer"	0.0635527
"investment banker"	0.0633431
bookstore	0.063037
"insurance firm"	0.0629863
advertiser	0.062881
"media property"	0.0622174
"Arnold Communications"	0.0621826
startup	0.0621751
metropolises	0.0621436
"Robertson Stephens"	0.0621367
"subsidiary company"	0.0618231
"clothing store"	0.0618178
"Levi Strauss &AMP; Co."	0.0616827
"copper mine"	0.06157
broker	0.0615548
ISP	0.0615481
shipper	0.061261
"funeral home"	0.061212
"financial institution"	0.0611163
"jewelry store"	0.0610352
Marketspan	0.0610208
"management consultant"	0.0606302
supplier	0.0601812
publisher	0.0599426
Programmer	0.0595715
iTV	0.0595147
utility	0.059417
"real estate developer"	0.0590811
"law practice"	0.0587982
"International Management Group"	0.0587545
lender	0.0586403
"furniture company"	0.0586366
"William Morris"	0.0586226
subcontractor	0.0585284
airline	0.0584588
"toy maker"	0.058406
"interior designer"	0.0582778
Citibank	0.0581095
Comsat	0.0579501
Cargill	0.0579483
"school superintendent"	0.057872
dealerships	0.0578433
"Baby Bells"	0.0576961
"software maker"	0.0576837
"investment firm"	0.0576699
"McKinsey &AMP; Co."	0.0576312
"Hambrecht &AMP; Quist"	0.0575037
grocer	0.0572142
McCann-Erickson	0.0571553
"retail operation"	0.0570235
"opera company"	0.0569887
"private foundation"	0.0569289
"mining company"	0.0567934
drugstore	0.0567918
"investment trust"	0.0566963
"toy store"	0.056667
"electric company"	0.0566553
"Chase Manhattan Bank"	0.0565468
examiner	0.0565369
"Consumers Union"	0.056446
contractor	0.0564295
"Ernst &AMP; Young"	0.0563202
All-Tech	0.0562435
"Digital Equipment Corp."	0.0561319
"literary agent"	0.0560927
"Y&AMP;R"	0.0559481
carmakers	0.0559382
PRIMESTAR	0.0558504
"public defender"	0.0557768
"cable system"	0.0555695
"department store"	0.0553931
"car manufacturer"	0.0553113
Mediaone	0.0552966
"TV network"	0.0552903
"sports fan"	0.0551208
TCI	0.0550336
deejays	0.054979
"science museum"	0.0547229
conglomerate	0.054708
banker	0.0546683
"oil producer"	0.0546446
publicist	0.0543195
philanthropist	0.0542932
"defense contractor"	0.0541675
steelmaker	0.0540986
"insurance broker"	0.0540624
state-owned	0.0540116
consultancy	0.0539255
"research center"	0.0537631
"certified public accountant"	0.0537294
"bank holding company"	0.0535403
dot-coms	0.0534129
"repair shop"	0.0533429
"machine shop"	0.0533355
"car maker"	0.0533294
IMG	0.0533026
"Federated Department Stores"	0.0532869
Schwab	0.053218
PolyGram	0.0531246
Ameritech	0.053093
Archdiocese	0.0530434
"Time Inc."	0.0529932
"medical institution"	0.0529892
bookseller	0.0529814
decorator	0.0529354
"Wells Fargo"	0.0529118
merchant	0.0529096
"Conde Nast"	0.0528754
recruiter	0.0528544
landlord	0.052722
automaker	0.052708
appraiser	0.0526066
refiner	0.0525601
exporter	0.0525467
shipbuilder	0.0525207
issuer	0.0523752
"Andersen Consulting"	0.0523543
"Omnicom Group"	0.052149
"mutual fund"	0.0521151
architect	0.0520013
BBDO	0.0519984
"steel company"	0.0519925
BofA	0.0519254
"theater company"	0.0517439
"art gallery"	0.0517266
drugmaker	0.0517046
KPMG	0.0517029
"music school"	0.0515514
"shopping center"	0.0515498
automakers	0.0515401
Kron	0.0515336
))
("ad blitz" (desc 1338.21) (sims
"advertising campaign"	0.181156
"ad campaign"	0.159987
"fund-raising drive"	0.137718
"marketing campaign"	0.136421
"fund-raising campaign"	0.125562
counterbid	0.117528
blitz	0.113305
facelift	0.112314
"stock buyback"	0.106702
"pilot program"	0.10566
"annual payment"	0.101783
"proxy fight"	0.0973228
"golden parachute"	0.0971826
airdrop	0.0969585
"bond issue"	0.0879744
"face lift"	0.0877695
weatherman	0.0872142
"road show"	0.0864557
"libel suit"	0.0849267
payday	0.0834529
counter-offensive	0.0824764
"operating budget"	0.0823633
"incentive program"	0.0815146
makeover	0.0808594
"bond offering"	0.0793096
"slush fund"	0.0778743
headcount	0.0762052
Eurobond	0.074608
buyback	0.0740718
"personal loan"	0.0737801
scriptwriter	0.0737221
"relay stations"	0.0736039
"marketing effort"	0.0735415
newswoman	0.0734491
"letter of credit"	0.072952
manhunt	0.0728474
extravaganza	0.0727331
"waiting game"	0.0727277
"military drill"	0.0726145
"tender offer"	0.0722604
buyout	0.0711825
"war chest"	0.0707829
"Opium War"	0.0706813
dragnet	0.0705527
"takeover attempt"	0.0701877
"Marshall Plan"	0.0701578
clicker	0.0696617
distributorship	0.0695146
"price war"	0.0690186
infusion	0.068811
payout	0.0687972
"Radio Free Asia"	0.0684846
"equity investment"	0.0681867
PRICETAG	0.0677243
"weather forecaster"	0.0675501
"expansion plan"	0.0673238
airball	0.0671796
Projects	0.066992
newscaster	0.0669002
"particle accelerator"	0.0664078
perestroika	0.0662726
"picture tube"	0.0660292
go-slow	0.0653426
stakeout	0.0653169
bailout	0.0652766
infomercial	0.0649793
decoder	0.0647399
"marketing program"	0.0646675
splurge	0.0644386
"trial balloon"	0.0640401
"ground attack"	0.0639786
A@XX	0.0636618
"compromise plan"	0.0633793
Ecuadorian	0.0633615
"monitoring program"	0.0632995
"line of credit"	0.0630747
arm-twisting	0.0630027
"out-of-court settlement"	0.0627628
"compensation package"	0.0626025
"guessing game"	0.062457
brownout	0.062011
up-front	0.0618943
"covert operation"	0.0617401
filibuster	0.0616931
long-awaited	0.0614678
spec	0.0613673
lovefest	0.0613016
airstrike	0.0612973
"campaign for governor"	0.0612925
heist	0.0612668
"interest rate increase"	0.0611747
"investment fund"	0.0611476
broadside	0.0603307
ABS-CBN	0.060089
"Action Plan"	0.0600282
"insurance policy"	0.0598217
"tax bill"	0.0598102
"situation comedy"	0.0597395
"Mars Climate Orbiter"	0.0595698
"stay of execution"	0.0595362
"rehabilitation program"	0.0595141
"variety show"	0.059321
meatpackers	0.0593152
refurbishment	0.059152
"puppet show"	0.0591438
onslaught	0.0590716
aerial	0.0589055
tuner	0.0588824
putsch	0.0586371
"change of mind"	0.0585299
counterattack	0.0584989
registrant	0.0577996
led	0.0577246
shakeup	0.0575707
appropriation	0.0573624
"entitlement program"	0.0573576
"newspaper advertisement"	0.0573071
"arms deal"	0.0571956
XFL	0.0571584
Terra	0.0571438
Steinway	0.0571359
forklift	0.0570105
"military campaign"	0.0569024
Trailblazer	0.0565562
windfall	0.0564927
adjournment	0.0561525
"Ed McMahon"	0.0560628
"fishing season"	0.0559988
"asking price"	0.0559725
manoeuvre	0.0559589
blooper	0.0559543
"Christmas present"	0.0558529
cameramen	0.0557494
"flight simulator"	0.0557186
"benefit program"	0.0556157
screed	0.0554358
airtime	0.0553532
encyclical	0.0552137
filers	0.0549894
"pay cut"	0.0549172
"legal proceeding"	0.054785
lobbying	0.0545317
remotes	0.0545313
"takeover bid"	0.0544658
"theatrical production"	0.0544187
stayaway	0.0542909
"news show"	0.0542826
"surprise attack"	0.0541975
"pretax loss"	0.054117
jackpot	0.054032
"political campaign"	0.0539026
"battle plan"	0.0538618
"Lunar Prospector"	0.0537241
"water project"	0.0535953
"Aaron Spelling"	0.0535535
"tool kit"	0.0534631
"space vehicle"	0.0534534
miniseries	0.0534349
"over six"	0.0533931
"application program"	0.053384
"hostile takeover"	0.0533761
Crews	0.0533194
"air attack"	0.0533188
CEC	0.0532686
"booster rocket"	0.0532318
enquiry	0.0531867
frontrunner	0.0531381
"Dubai World Cup"	0.0530939
"degree program"	0.0530031
"pretax charge"	0.0528943
"British Foreign Office"	0.0528895
rollout	0.0528093
newsmagazines	0.0526625
"newspaper ad"	0.052635
"utility program"	0.052563
"change of direction"	0.0523964
"personal appeal"	0.0523902
fillip	0.0522586
"three pitchers"	0.0521406
"weather satellite"	0.0521201
"Human Genome Project"	0.0520227
"viewing audience"	0.0519596
repairman	0.0519437
"Bill Moyers"	0.0519203
roadshow	0.051532
"licensing agreement"	0.0515305
"Hail Mary"	0.0515039
sickout	0.0514604
ADP	0.0513394
ICBM	0.0512625
F-@@@	0.0512034
workday	0.0509997
Stardust	0.0509845
"second tour"	0.0508814
fast-track	0.0508681
eight-point	0.0508035
"Family Guy"	0.0507981
"football league"	0.0507709
Lien	0.050681
"oxygen mask"	0.0506155
))
("ad campaign" (desc 20168.7) (sims
"advertising campaign"	0.262245
"marketing campaign"	0.180637
"ad blitz"	0.159987
AD	0.145138
advertisement	0.128648
commercial	0.125775
Advertising	0.10584
"TV commercial"	0.103846
blitz	0.100649
"fund-raising campaign"	0.099741
campaign	0.0972429
"fund-raising drive"	0.0954798
"pilot program"	0.0947588
"education program"	0.0893625
"marketing effort"	0.0860234
"newspaper ad"	0.0848829
"marketing program"	0.0829715
"training program"	0.0798949
renovation	0.0785325
initiative	0.0775921
facelift	0.0764567
Promotion	0.0759933
"political campaign"	0.0759725
"newspaper advertisement"	0.0755322
programme	0.0728794
"bond issue"	0.0727204
overhaul	0.071372
strategy	0.0706762
"educational program"	0.0693992
extravaganza	0.0691072
"war chest"	0.0687183
"military campaign"	0.0686486
"expansion plan"	0.0682237
scheme	0.0675975
"master plan"	0.0672109
mailings	0.0671552
"incentive program"	0.0668583
redesign	0.0666963
makeover	0.0654574
"line of products"	0.0651651
venture	0.0639412
"proxy fight"	0.0638779
buyout	0.0637577
billboard	0.0637402
"development plan"	0.0631679
lawsuit	0.06284
"bond offering"	0.0623257
"rehabilitation program"	0.0622527
spree	0.0622177
maneuver	0.061699
exhibit	0.0616942
sponsorship	0.0613372
reorganization	0.0609918
marketing	0.0607393
cleanup	0.0605969
programming	0.0599266
"senate campaign"	0.0597901
offensive	0.059779
offering	0.0597172
package	0.0593364
"face lift"	0.0588741
"investment fund"	0.0586067
Website	0.0574849
"war game"	0.0574352
"tax cut"	0.0569311
sitcom	0.0567265
"reorganization plan"	0.056571
tactic	0.0564861
"new line"	0.0563571
airlift	0.0560758
"legal action"	0.0559062
rollout	0.0558755
experiment	0.0557167
crackdown	0.0551168
boycott	0.0551031
"military action"	0.0550656
Exhibition	0.055052
"game show"	0.0550328
crusade	0.0549758
miniseries	0.0548468
fund-raiser	0.0548244
expansion	0.0546981
"arms deal"	0.054621
"road show"	0.0546175
PRICETAG	0.0544688
"television show"	0.0544567
"battle plan"	0.0542498
endowment	0.0542192
counter-offensive	0.0541172
"product line"	0.0537519
poster	0.0536325
"tax break"	0.053511
"missile defense system"	0.05344
acquisition	0.0533404
"reading program"	0.0532035
"TV show"	0.0530914
"water project"	0.0529379
manhunt	0.0529342
legislation	0.0528901
logo	0.0528347
IPO	0.052067
propaganda	0.052058
"libel suit"	0.0520298
"communications satellite"	0.0519304
"initial public offering"	0.0518502
"game plan"	0.0518027
probe	0.0515272
"military drill"	0.051525
documentary	0.0514729
"market reform"	0.0514542
"operating budget"	0.0511351
curriculum	0.0510983
campaigning	0.0510551
"political action committee"	0.051004
counterattack	0.0509584
bash	0.0509033
restoration	0.0508319
"talk show"	0.0505639
festival	0.0505597
brochure	0.0503885
publication	0.0503628
"compromise plan"	0.0503214
"business plan"	0.0502222
agenda	0.0501576
announcement	0.0500834
festivity	0.050003
slogan	0.0499043
infomercial	0.0498778
"surveillance system"	0.0496871
endorsement	0.0496143
endeavor	0.0496
stunt	0.0495675
"takeover bid"	0.0494626
packaging	0.0494513
"news show"	0.0493566
takeover	0.0492901
publicity	0.049069
Portal	0.0490212
undertaking	0.0489301
bailout	0.0488957
"TV program"	0.0487174
buyback	0.0485525
payout	0.048493
"tax reduction"	0.0484913
reconstruction	0.0484399
"Human Genome Project"	0.0484072
payday	0.0483825
outlay	0.048181
sequel	0.0481739
"insurance policy"	0.0480747
scam	0.0479499
supercomputer	0.0479359
catalog	0.0477574
outreach	0.0475884
"sales pitch"	0.0474846
"rating system"	0.0474594
script	0.0473493
"contingency plan"	0.0473468
musical	0.0473439
"code of conduct"	0.0472827
"monitoring program"	0.0471666
presentation	0.0471614
manoeuvre	0.0471561
"air attack"	0.0470088
candidacy	0.0469991
profile	0.0469541
heist	0.0469423
jackpot	0.0469038
roadshow	0.0468162
hiring	0.0468133
binge	0.0467228
dragnet	0.046711
ploy	0.0466496
redevelopment	0.0465415
litigation	0.0464792
"covert operation"	0.0464561
primary	0.0464441
"theme park"	0.0463622
refurbishment	0.0462822
startup	0.046233
subsidy	0.0459943
advocacy	0.0459416
partnership	0.0458592
cartoon	0.0457731
merger	0.0457576
inquiry	0.0457394
"line of credit"	0.0456974
"Manhattan Project"	0.0456618
"primary election"	0.0455189
episode	0.0454249
"price war"	0.0452844
empire	0.0451972
revival	0.0451151
insurgency	0.0449879
"rate increase"	0.0449412
"tag line"	0.0449325
"rate cut"	0.0448862
outlet	0.044834
shortfall	0.0448309
"compensation package"	0.0447919
))
(ad/adc (desc 2268.11) (sims
nw/gm	0.221721
ad/gm	0.203037
nw/ls	0.175866
ad/ji	0.165638
ad/ls	0.165025
vi/gm	0.162957
sms/adc	0.145224
ADC	0.139546
Ji	0.127033
vi/ls	0.113982
JAI	0.112421
Itar-Tass	0.107074
sms/ji	0.103767
KPL	0.10342
sms/gm	0.0982899
Antara	0.0975934
djw	0.089835
aos	0.0848174
"Turkish Daily News"	0.0846407
parf-dgs	0.0824975
WAM	0.081077
mj-kg	0.0802697
cph	0.076661
parf-ip	0.07466
Tanjug	0.0744885
Bernama	0.0734387
"Radio Uganda"	0.0721149
eb	0.0709614
"Indonesian Observer"	0.0708037
Notimex	0.070624
Jana	0.0700579
ml	0.0694516
cb-parf	0.0686523
Lusa	0.0674475
sf	0.0664463
FD	0.0657888
"Kathmandu Post"	0.0649417
acw	0.0646872
JH	0.0641355
"The New Vision"	0.0638428
"Gulf News"	0.0620038
Kyodo	0.0620036
Angop	0.0616302
AFP	0.0607745
"The Monitor"	0.0602013
Petra	0.0595626
jc/bk	0.059242
MJ	0.0579511
MENA	0.057485
Anatolia	0.05734
GB	0.057283
CB	0.0562757
hjf	0.0553196
Interfax	0.0546588
MTI	0.0544355
scl	0.0540655
"Nihon Keizai"	0.0538027
Ansa	0.0536939
dw	0.0533471
djp	0.0527268
Tass	0.0521293
vls	0.0515085
dm-jh	0.0503187
BS	0.049814
SP	0.0495913
"Egyptian Gazette"	0.0494234
"South African Press Association"	0.048116
"Bank of Korea"	0.0476486
"Business Weekly"	0.0471424
"Agence France-Presse"	0.0461325
"Financial Mail"	0.0460286
PAP	0.0458257
BK	0.0455005
"Press Trust of India"	0.0447826
"Business Day"	0.044491
scw	0.0442037
"Islamic Republic News Agency"	0.0436996
"Moscow Times"	0.043221
im	0.0430207
"Ghana News Agency"	0.0425878
"Vietnam News"	0.0417224
beta	0.0416483
"Agence France Presse"	0.0414151
"Daily Times"	0.041035
"News Agency of Nigeria"	0.0407771
SW	0.0401909
))
(ad/gm (desc 1356.42) (sims
nw/gm	0.287916
nw/ls	0.260454
ad/adc	0.203037
ad/ji	0.166757
vi/ls	0.158418
Tass	0.134663
sms/ji	0.133508
ADC	0.113428
scl	0.103907
Ji	0.099533
Itar-Tass	0.0994395
vi/gm	0.0991643
cph	0.0977769
Interfax	0.0953302
JAI	0.084058
ad/ls	0.0802644
acw	0.0796757
cb-parf	0.0792334
mb	0.0782426
parf-dgs	0.0781592
ml	0.0780116
sms/gm	0.0779924
aos	0.0771255
MJ	0.070147
GB	0.0674319
"Sergei Yastrzhembsky"	0.0631365
dm-jh	0.0605009
Whoa	0.0578871
sms/adc	0.0577243
jc/bk	0.0554373
WAM	0.0545049
Jana	0.0543988
JC	0.0537943
"white meat"	0.0530365
"Agence France Presse"	0.0512565
Tanjug	0.0509383
hjf	0.0509005
KPL	0.0507927
Petra	0.0506126
SP	0.0501637
parf-ip	0.0500711
Antara	0.0494297
"Russian Foreign Ministry"	0.0485648
rr	0.048132
djw	0.0481143
"Khaleej Times"	0.046913
mc/bk	0.0456555
Notimex	0.0452804
FD	0.045084
mj-kg	0.0448717
scw	0.0432418
"Kyodo News"	0.0432011
RB	0.0426244
JP	0.0424818
TC	0.0410463
))
(ad/ji (desc 1292.04) (sims
nw/ls	0.193395
ad/gm	0.166757
ad/adc	0.165638
ad/ls	0.140944
nw/gm	0.136157
vi/gm	0.120421
ADC	0.119389
cph	0.113567
sms/ji	0.106703
djw	0.0971026
scl	0.0872482
vi/ls	0.0871982
Ji	0.0818661
acw	0.0814344
sms/gm	0.076127
parf-ip	0.0725972
JAI	0.071987
aos	0.071274
cb-parf	0.0668746
CB	0.0660483
parf-dgs	0.064544
GB	0.0640913
"Vietnam News"	0.0629874
DFB	0.0620732
mb	0.0614923
MJ	0.0614557
sms/adc	0.0604484
eb	0.05987
"Turkish Daily News"	0.0576344
"Ethiopian Herald"	0.057588
"East African Standard"	0.0574806
JT	0.0572378
SP	0.0526075
"Radio Uganda"	0.0524587
"Bank of Korea"	0.0515456
FD	0.0511831
Tanjug	0.05029
Antara	0.0500563
djp	0.048843
"Aslan Maskhadov"	0.0485965
dm-jh	0.0483624
jc/bk	0.0483499
"Sergei Yastrzhembsky"	0.0474816
mj-kg	0.0467761
"Financial Mail"	0.0460989
"Thai News Agency"	0.0440875
"Milorad Dodik"	0.0436938
"dashing hopes"	0.0432232
"Gulf News"	0.043081
TC	0.0427252
SW	0.0425671
BK	0.0423456
Ek	0.0423148
"The New Vision"	0.0411008
"The Monitor"	0.0409503
"Business Day"	0.040891
"Kuwait News Agency"	0.0407264
"Zambia Daily Mail"	0.0405321
"Russian Foreign Ministry"	0.0402645
))
(ad/ls (desc 1204.03) (sims
nw/gm	0.170713
ad/adc	0.165025
vi/ls	0.151993
ad/ji	0.140944
Ji	0.140326
JAI	0.13963
vi/gm	0.134785
sms/gm	0.132668
ADC	0.110144
sms/adc	0.0938528
cb-parf	0.0935735
Antara	0.0927392
djw	0.0924627
dw	0.0835883
nw/ls	0.0825857
JT	0.0809903
ad/gm	0.0802644
CB	0.0791312
aos	0.0776994
FD	0.0770516
mj-kg	0.0764701
Tanjug	0.0750862
parf-ip	0.0708189
Itar-Tass	0.0701627
Lusa	0.069722
AFP	0.0692898
BS	0.065623
sms/ji	0.0640712
MENA	0.062905
CG	0.0628395
Ansa	0.0617949
Whoa	0.0602036
MTI	0.058861
"Turkish Daily News"	0.0583385
Angop	0.0571328
tsc	0.0556877
dm-jh	0.0548894
Notimex	0.0538882
"Moscow Times"	0.0521534
cph	0.0517531
scl	0.0516141
RSS	0.0516009
"Israel Radio"	0.0513445
WAM	0.0508884
"Southern African Broadcasting Association"	0.0504187
Bernama	0.0487829
"Gulf News"	0.0480007
Jana	0.0474018
dem	0.0473526
Petra	0.04691
KPL	0.0468483
parf-dgs	0.046271
"United National Party"	0.0451625
"Playstation II"	0.0440794
huh	0.0436044
"Radio Uganda"	0.0435683
Anatolia	0.0431908
rr	0.043161
JH	0.0425247
Sana	0.0423974
mc/bk	0.0417885
"Yuri Luzhkov"	0.0416622
TC	0.0414561
Ogata	0.0406478
gosh	0.0403944
))
(Ada (desc 6289.22) (sims
"Title IX"	0.233868
"Voting Rights Act"	0.185745
"Fourth Amendment"	0.18534
"Title VII"	0.16386
"Clean Air Act"	0.162684
"Disabilities Act"	0.160146
"Clean Water Act"	0.155981
"Endangered Species Act"	0.139162
"First Amendment"	0.13864
statute	0.136035
"Fifth Amendment"	0.134266
"Telecommunications Act"	0.116942
ERISA	0.116114
"U.S. Constitution"	0.115399
Shariah	0.113162
"antitrust law"	0.100138
"Community Reinvestment Act"	0.0994845
"Civil Rights Act"	0.0970376
RICO	0.0950195
"criminal law"	0.0873199
"maritime law"	0.0856231
"attorney-client privilege"	0.0855327
"Helms-Burton Act"	0.0852369
constitution	0.0814087
Ordinance	0.0810163
"Geneva convention"	0.0801707
"Proposition @@"	0.0799797
"Proposition @"	0.0795126
Helms-Burton	0.076995
"building code"	0.0761974
"bankruptcy law"	0.0756092
bylaw	0.0749823
Treaty	0.0732198
"Proposition @@@"	0.0725675
OSHA	0.0711383
"Second Amendment"	0.0708642
clause	0.0688611
zoning	0.0682445
amendment	0.0680513
"counsel law"	0.0679965
"Vienna Convention"	0.0662272
Copyright	0.0660023
CWC	0.0654139
Sharia	0.0653736
NAFTA	0.0652613
"Basic Law"	0.0649811
charter	0.0643553
"International Covenant"	0.0640046
"international law"	0.0633312
"Article @@"	0.0627803
"ABM Treaty"	0.0619672
"Lusaka Peace Accord"	0.0606122
CRA	0.0602146
covenant	0.0598323
IPR	0.0597195
"Antiquities Act"	0.0597078
EEOC	0.0592085
"U.N. Resolution @@@"	0.0589835
"labor contract"	0.058895
CITES	0.0587539
"Bill of Rights"	0.056592
NHTSA	0.0565351
HHS	0.0563145
RIAA	0.0558775
"civil rights"	0.0555849
tort	0.0553266
"Lusaka Protocol"	0.0552002
VFA	0.0545688
decree	0.0545664
whistleblower	0.0541938
desegregation	0.0538274
paternity	0.0534037
Cp	0.0526977
DEP	0.0526109
ACLU	0.0523789
"U.N. Charter"	0.052347
"Section @@@"	0.0521775
"Chapter @@"	0.051925
EPA	0.0516693
"Section @"	0.0515068
"Kyoto Protocol"	0.0512777
FCC	0.0509711
"trade agreement"	0.0506576
"patent right"	0.0505945
USGA	0.0502077
directive	0.0498751
"EU Commission"	0.0495632
"code of conduct"	0.0486808
FDIC	0.0485108
doctrine	0.0481782
FDA	0.0481111
"last two digits"	0.0478484
"invasion of privacy"	0.0477169
libel	0.0474403
"Beijing Declaration"	0.0473751
"Article @@@"	0.0473356
FEC	0.0472626
"Balanced Budget Act"	0.0472269
"organic law"	0.04716
"Oslo Accords"	0.0470072
USDA	0.0467007
"Sino-British Joint Declaration"	0.0466175
AHA	0.046011
takings	0.0459575
"Criminal Procedure Law"	0.0459023
"U.N. Convention"	0.0458367
drafters	0.045806
"freedom of speech"	0.0456318
"penal code"	0.045346
Nepa	0.0452868
"Resolution @@@@"	0.0450454
edict	0.0449915
"Joint Declaration"	0.044969
"Education Department"	0.0448881
"Olympic Movement"	0.0448545
CMA	0.0448056
"Monroe County"	0.0447314
ABM	0.0445903
"CBS Sports"	0.0443821
quarantine	0.0443152
Lucasfilm	0.0441977
Torah	0.0441179
SBA	0.0438842
"Chapter @"	0.0437429
FTC	0.043706
SETTLES	0.0435948
"Universal Declaration"	0.0434227
"Georgia Power"	0.0433117
"common law"	0.0432873
"American Heart Association"	0.043186
MCAS	0.0428695
BSA	0.0426602
FTA	0.0425638
"legal principle"	0.0425042
NPT	0.0423628
curfew	0.0421278
WEF	0.0421262
disbarment	0.0419551
"Brooks Brothers"	0.041665
NRC	0.0416425
Marquette	0.0415793
"Board of Supervisors"	0.041045
NCAA	0.0407793
Wye	0.040706
"due process"	0.0406877
"breach of contract"	0.0406794
SCLC	0.0405926
"civil right"	0.040477
armistice	0.0404517
Edith	0.0404384
"tax change"	0.040418
NMD	0.0403938
"employment contract"	0.040373
))
(adage (desc 4876.37) (sims
axiom	0.163734
Truism	0.141102
maxim	0.119692
credo	0.111623
proverb	0.100963
theorem	0.088468
cliche	0.0813649
aphorism	0.0811456
hypothesis	0.08043
"rule of thumb"	0.0782821
admonition	0.0782564
dictum	0.0779514
mantra	0.0755268
wisdom	0.0731799
"hue and cry"	0.069451
"golden rule"	0.0674265
verity	0.0663453
refrain	0.0654555
hunch	0.0636401
motto	0.0634688
analogy	0.062331
canard	0.0614844
"inferiority complex"	0.0607538
assertion	0.0595371
parable	0.0589524
witticism	0.0580587
feistiness	0.0579115
"one line"	0.0576013
thesis	0.0571969
myth	0.0562605
"school of thought"	0.055728
conjecture	0.0556662
stat	0.0555002
doctrine	0.0551835
"American Dream"	0.0551807
stereotype	0.0535849
logic	0.0526748
"two words"	0.052674
hypotheses	0.0521873
misperception	0.0514643
"three words"	0.0513192
precept	0.0498825
lore	0.0493153
conundrum	0.0493119
daydream	0.0492285
presumption	0.0492058
chutzpah	0.0491419
alchemy	0.0488465
greatness	0.0485639
paranoia	0.048122
"common law"	0.0474125
bromide	0.0473536
"Ian Wright"	0.0473247
prophecy	0.0468965
Catch-@@	0.0468311
tenet	0.0468282
synergy	0.0467487
fable	0.0467084
hesitancy	0.0463208
inference	0.0461522
assumption	0.0460423
supposition	0.0451689
epigram	0.0450733
"double standard"	0.0445047
fuss	0.044284
misconception	0.0442683
efficacy	0.044252
"one word"	0.0438085
moniker	0.0436892
dilemma	0.0436701
copout	0.0436415
fallacy	0.0436318
finger-pointing	0.0436306
"art form"	0.0434825
"pecking order"	0.0433372
"standard operating procedure"	0.0430937
paradigm	0.0429923
terminology	0.0429054
lineage	0.0427164
screed	0.0427154
dogma	0.0426495
Vic	0.0426031
Ohioan	0.042594
rationale	0.0425872
caveat	0.0425501
ADO	0.0419789
creed	0.0419774
orthodoxy	0.0418959
mind-set	0.0415362
commandment	0.041378
falsity	0.0413245
"sour grapes"	0.0408958
"one bit"	0.04071
"North Carolinian"	0.0406436
warhorse	0.0405735
"stage name"	0.0402202
karma	0.0401989
gaffe	0.0400212
"folk song"	0.0400173
))
(Adair (desc 1793.93) (sims
Shayler	0.145129
Mapes	0.143063
Hensley	0.140911
Nikitin	0.140238
Blackman	0.134474
Faget	0.128545
Berenson	0.125679
Cepeda	0.121935
Ghani	0.117118
Sheinbein	0.112299
Stayner	0.112071
Papon	0.112012
Hofer	0.111415
Neulander	0.11109
LeFave	0.10998
Nasrin	0.109714
Yazdi	0.109686
Slatkin	0.108278
McGinn	0.108083
Krstic	0.107862
Ntakirutimana	0.107009
Hamlin	0.106595
McDonnell	0.106563
Garofalo	0.105758
Tarver	0.105513
Grunow	0.105374
McDuff	0.10519
Garza	0.104282
"Russell Peeler"	0.104065
Karbaschi	0.103256
Cavallo	0.103226
Hage	0.101838
Rideau	0.100677
Mitnick	0.100623
Kurth	0.0989271
Al-Amin	0.0978155
Gravano	0.0977692
"El Hage"	0.0974151
Faulder	0.0963268
Swango	0.0960715
Soliah	0.0958191
Robison	0.0951316
McVeigh	0.0949818
Salemme	0.0949358
Kurtz	0.0945131
Priebke	0.0938913
Mikhailov	0.0938533
Whitacre	0.0937865
Gusinsky	0.0934722
leeson	0.0930044
Mcbride	0.0917591
Herrera	0.0908952
Kimeses	0.0908892
Agca	0.0904855
Goldstein	0.0904696
Gritz	0.0903262
"Abu Nidal"	0.0901112
Brunner	0.0901022
Ivey	0.089855
Sebaggala	0.0891951
Gauthe	0.0891352
Fiorina	0.0889182
Soto	0.0883493
Haney	0.0883132
Einhorn	0.0882294
Donohue	0.0881745
Sorensen	0.0878772
Merlino	0.0878383
Natale	0.0869076
Manbar	0.0866291
Martorano	0.0865889
Mohamed	0.0864537
Raduyev	0.0862826
Merritt	0.0857993
Rivlin	0.0856358
"Michael Skakel"	0.085387
Ickes	0.0850807
Whipple	0.0850359
Coppola	0.085032
Khalil	0.0835689
xu	0.0834614
Pollard	0.083177
Sarsour	0.0831581
Maharaj	0.0830201
"De Klerk"	0.0829977
Kimes	0.0828012
Menchu	0.0826041
"Raul Salinas"	0.0825697
peeler	0.0825306
Arizmendi	0.0824636
Kiareldeen	0.0824307
Vasquez	0.0823694
Cleary	0.0821668
Flores	0.0819053
Schmitz	0.0818095
Krajisnik	0.0817952
hale	0.0814908
Kirkpatrick	0.0812296
Eisner	0.0809026
Lugo	0.0806582
Mukora	0.0802965
Northup	0.0801534
Carmichael	0.0801403
"Maturino Resendiz"	0.0799725
Jenoff	0.0796785
Kromah	0.079487
Lundberg	0.0792817
Skakel	0.0790722
Yadav	0.0790102
Mease	0.0787265
Downey	0.0784945
Farber	0.0784508
Ackerman	0.0783107
Bisek	0.0780868
Hobson	0.0780595
O'Connell	0.0780115
Harris-Lewis	0.0778881
Musa	0.0777007
Nkabinde	0.0776434
Yoo	0.0774857
Karr	0.0774765
Kaunda	0.0772199
Zamora	0.07703
Silverman	0.0769943
Pearce	0.0769329
Trantino	0.0768937
Bove	0.0766206
"Ruiz Massieu"	0.0765707
Sakic	0.0764796
Gotti	0.0764367
Abernathy	0.0762879
Bellush	0.0760903
Schweitzer	0.0759524
Goldin	0.0758319
Knapp	0.0756967
Farrell	0.075509
Henley	0.0754344
Speight	0.0753606
Sankoh	0.0752643
Kagalovsky	0.0751243
"Al Fayed"	0.0751103
Weil	0.0750623
Lockwood	0.0750205
Lovett	0.0748923
Abu-Jamal	0.074697
McFadden	0.0746721
Fagan	0.0743553
Kodikian	0.0743025
Puzo	0.074245
Pierson	0.0742351
Chung	0.0738787
Grossberg	0.0734547
Sithole	0.0734048
Farris	0.0734046
Trevi	0.0734036
Galindo	0.0734019
Kopp	0.073354
Feldman	0.0733137
Keating	0.0732327
Morrison	0.073193
Murr	0.0731754
Fabius	0.0730124
Rao	0.0729468
Gantamirov	0.0728821
Frankel	0.0726546
Schwarz	0.0726516
Moran	0.0726352
Fassett	0.0724183
Huang	0.0724032
Basayev	0.072336
Paciello	0.0723059
Koresh	0.0722989
"Ta Mok"	0.0722877
Bruder	0.0722554
Salim	0.0722462
Marinovich	0.0722226
Sweeting	0.0721071
Eappens	0.0720022
Ralston	0.0718882
Blumenthal	0.071793
Jewell	0.0717446
Shulman	0.0714959
Marulanda	0.0714518
petty	0.0714112
Shearer	0.0712485
"La Mont"	0.071078
Lazarenko	0.0709629
Fortier	0.0709121
Kaczynski	0.0706472
Tella	0.0703463
Donahue	0.0701835
Sumaye	0.0699651
Goldberg	0.0698926
Laudor	0.0697826
Oviedo	0.0697193
Hersh	0.0696759
Brownlee	0.0696267
Demjanjuk	0.0694926
Abram	0.0694838
Quackenbush	0.069473
))
(Adam (desc 19729.8) (sims
Michael	0.104113
Kyle	0.0996533
David	0.0987189
Larry	0.0984129
Paul	0.0951172
Joe	0.0937319
Danny	0.0935976
Brian	0.092895
Robert	0.0919109
Steven	0.0911618
Joshua	0.0911241
Jason	0.0909341
Eric	0.0899936
Ben	0.0896583
Kenny	0.0894086
Tim	0.0893675
Jacob	0.0886086
Matthew	0.0881668
John	0.086943
William	0.0863692
Carl	0.086279
Steve	0.0857772
Kevin	0.0847971
matt	0.083995
mike	0.0831704
Alex	0.0831093
Daniel	0.0827687
Chris	0.0827062
Nicholas	0.0821466
Frank	0.0821251
Josh	0.0819942
Peter	0.081859
Anthony	0.0812141
tom	0.0804124
Reggie	0.0798452
Jim	0.0795804
Andrew	0.0795365
Phil	0.0795336
Ian	0.0794864
Bobby	0.0794062
Jonathan	0.07912
Gerald	0.078394
Stephen	0.0782515
Billy	0.0778955
Jeremy	0.0775945
Jeff	0.0773411
Jeb	0.0763645
Wyatt	0.0762877
Richard	0.0758179
Sam	0.075677
Greg	0.0742827
Jimmy	0.0741405
Patrick	0.0738783
Randy	0.073818
Brandon	0.0737603
Charlie	0.0736668
Ryan	0.0734577
James	0.0732904
Gary	0.0723892
Donald	0.0723246
Charles	0.0721987
Justin	0.0717751
Jackie	0.0715827
Joey	0.0709669
Walter	0.0708353
Maurice	0.0708325
"Adam Petty"	0.0706088
Evan	0.0704943
Aaron	0.070438
Bryan	0.0702065
Bruce	0.0701256
Jerry	0.0698677
Brett	0.0697967
Samuel	0.0695192
Edward	0.0692973
Derek	0.069145
Jeffrey	0.069064
Sarah	0.0690157
Johnny	0.0687103
Arthur	0.0686325
Shane	0.0683875
Craig	0.0675612
Scott	0.0674252
Roger	0.0671824
Tony	0.0670831
Jamie	0.066755
Shawn	0.0665202
Jake	0.0664739
Andy	0.0664381
Sean	0.0660902
Joseph	0.0658851
George	0.065687
Neil	0.0651947
Marvin	0.0650743
Noah	0.0650532
Ivan	0.0644761
Keith	0.0644561
Fred	0.0643908
Dennis	0.0641568
jack	0.0640128
"George W."	0.0639671
Byron	0.0634367
timothy	0.0629994
Alan	0.0629329
Dave	0.062839
Ted	0.0627297
Pete	0.0626688
Christopher	0.0625215
Terry	0.0623989
Rick	0.0620767
Seth	0.0620637
Ralph	0.0620358
Darren	0.0619941
Ashley	0.0619873
Jon	0.0617789
Henry	0.0616482
Ronald	0.0615778
Isaac	0.0614947
Ramon	0.0613037
Harry	0.0611999
Casey	0.0611932
Raul	0.0610586
"John Jr."	0.0608961
nick	0.0607513
Cody	0.0606413
Theo	0.0606392
Doug	0.060589
Luke	0.0602663
Barry	0.0602327
Cameron	0.0602045
Linda	0.059975
Philip	0.0597609
Katie	0.0596602
Ricky	0.0596569
Vladimir	0.0595356
dale	0.0594215
Trevor	0.0593805
Glenn	0.0593524
Ron	0.0593299
Ed	0.0591862
Isaiah	0.0590427
Kenneth	0.0586767
Leo	0.0584432
Albert	0.0582214
Todd	0.0581964
daughter	0.0581034
Ahmed	0.0580829
Louis	0.0580279
Mario	0.0579061
Roy	0.057792
Carlos	0.0577053
jay	0.0577051
Nancy	0.0576613
Zachary	0.0575678
BOB	0.0575485
Wayne	0.0572389
grandson	0.0572146
Drew	0.0570709
Mohammed	0.0570362
Thomas	0.0565217
Brody	0.0564832
Gabriel	0.0562658
Brad	0.05622
Jesus	0.0562114
Kate	0.0561955
Robbie	0.0561678
Tyler	0.0561678
Dorismond	0.0559265
Joel	0.0557828
Willie	0.0557037
Troy	0.0556209
Eddie	0.05519
McGrath	0.0551599
Harold	0.0550991
Ken	0.0549103
"Kyle Petty"	0.0548578
Barbara	0.0547372
Gerard	0.0547292
Pamela	0.0547024
Stewart	0.0545665
Simon	0.0543895
Benjamin	0.0543285
Robin	0.0542539
Dan	0.0542134
Luther	0.0539589
dick	0.0539194
Lawrence	0.0539146
Jesse	0.0538874
Ibrahim	0.0537646
Marcus	0.0537183
dad	0.0537016
Juan	0.0536672
Noel	0.0536362
Pedro	0.0536244
Manuel	0.0534282
Stan	0.0532152
Curtis	0.053101
Chuck	0.0530214
Fleming	0.0529257
Alfred	0.0529063
))
("Adam Deadmarsh" (desc 2018.65) (sims
"Milan Hejduk"	0.436515
"Joe Sakic"	0.374915
"Chris Drury"	0.352018
"Peter Forsberg"	0.336213
"Valeri Kamensky"	0.327187
"Sandis Ozolinsh"	0.307297
"Theo Fleury"	0.266609
"Claude Lemieux"	0.260384
"Dave Andreychuk"	0.224668
"Dave Reid"	0.200097
"Pat Verbeek"	0.162168
"Tony Amonte"	0.158721
"Rob DiMaio"	0.145232
"Bill Guerin"	0.144959
"Mike Sullivan"	0.139814
"Dixon Ward"	0.139798
"Patrick Roy"	0.138258
"John LeClair"	0.136514
"Rick Tocchet"	0.135995
"Darren McCarty"	0.133884
Forsberg	0.132331
"Owen Nolan"	0.12984
"Pavol Demitra"	0.129701
"Grant Marshall"	0.12936
"Randy McKay"	0.128433
"Brendan Shanahan"	0.12722
"Jamie Langenbrunner"	0.125811
"Teemu Selanne"	0.124846
Fleury	0.12394
"Ted Donato"	0.121039
"Jaromir Jagr"	0.117812
"Alexander Mogilny"	0.115874
"Donald Audette"	0.113257
"Kirk Muller"	0.112512
"Alexei Kovalev"	0.112281
"Matthew Barnaby"	0.112143
"Dallas Drake"	0.109164
"Jay Pandolfo"	0.109077
"Landon Wilson"	0.108685
"Brian Skrudland"	0.108631
Drury	0.108627
"Jeff Friesen"	0.107664
"Jason Arnott"	0.105957
"Steve Heinze"	0.104789
"Blake Sloan"	0.1037
"Ray Bourque"	0.103659
"Geoff Sanderson"	0.103231
"Shane Doan"	0.103167
"Anson Carter"	0.102939
"Mike Keane"	0.102398
"Cliff Ronning"	0.102235
"Hu Weidong"	0.101309
"Guy Carbonneau"	0.0998941
"Wendel Clark"	0.0997347
"Todd Harvey"	0.0991155
"Steve Thomas"	0.0986179
"Pavel Bure"	0.0979423
"Ziggy Palffy"	0.0956843
"Adam Oates"	0.0948021
"Joe Nieuwendyk"	0.0940392
"Nelson Emerson"	0.0937697
"ZIGMUND PALFFY"	0.0930717
"Joe Juneau"	0.0930651
"Steve Yzerman"	0.0930363
"Sergei Fedorov"	0.0913769
"Dmitri Khristich"	0.0912146
"Jeremy Roenick"	0.0895114
"Patrik Elias"	0.0888854
"Stern John"	0.0888407
"Shannon MacMillan"	0.0874444
"Brian Rolston"	0.08713
"Jermaine O'Neal"	0.0868072
"Craig Ludwig"	0.08672
"Brian Scalabrine"	0.0857813
"Scott Thornton"	0.0857026
"Grant Long"	0.0852931
"Jere Lehtinen"	0.0850732
"Khodadad Azizi"	0.0846507
"Paul Kariya"	0.0839471
"Ken Belanger"	0.0837222
"Bobby Phills"	0.0834927
"Hao Haidong"	0.0834557
"Gary Roberts"	0.0832419
"Brian McBride"	0.0831754
"Tamika Catchings"	0.0827218
"Brad Isbister"	0.0824515
"Eric Lindros"	0.081832
"Vladimir Tsyplakov"	0.0810962
"Steve Duchesne"	0.0810659
"Tiffeny Milbrett"	0.0806457
"Mark Recchi"	0.0805573
"Dale Hunter"	0.0796233
"Mark Messier"	0.0795252
"Aaron Gavey"	0.0791171
"Carlos Hermosillo"	0.0786761
"Harry Kewell"	0.0785067
"Gabe Muoneke"	0.0785032
"Patrik Stefan"	0.078431
Sakic	0.078253
"Greg Adams"	0.0780938
"Keith Tkachuk"	0.0779388
"Benoit Hogue"	0.0778816
"Matt Johnson"	0.0776095
"Doug Gilmour"	0.0775533
"Igor Larionov"	0.0775385
"Vincent Damphousse"	0.0771865
"Petr Sykora"	0.0767194
"Chris Anstey"	0.0765696
"Brett Hull"	0.0765221
"CORIE BLOUNT"	0.0764897
"Chris Carrawell"	0.0763893
"Sergei Zubov"	0.0760932
"Ante Razov"	0.0758157
"Keith Jones"	0.0752319
"Glen Murray"	0.0749493
"Marc Overmars"	0.074196
"Derrick Coleman"	0.0741708
"Clifford Robinson"	0.0740893
"Donald Brashear"	0.0735675
"Kevin Freeman"	0.0731951
"Kenyon Martin"	0.0729416
"P.J Axelsson"	0.0729193
"Richard Jefferson"	0.0721979
"Michael Wright"	0.071647
"Luis Figo"	0.0710789
"Shane Battier"	0.0710399
"Jason Allison"	0.0710341
"Pierre Turgeon"	0.0709385
"Dejan Savicevic"	0.0704151
"Luc Robitaille"	0.0700536
"Mark Madsen"	0.0699813
"Joe Murphy"	0.069741
"Lee Nailon"	0.0691226
"Raef LaFrentz"	0.0690133
"Otis Thorpe"	0.0682261
"Niklas Sundstrom"	0.0681901
"Kenny Thomas"	0.0681219
"Claudio Lopez"	0.0679188
"Ronald de Boer"	0.067737
"Miroslav Satan"	0.0669255
"Tina Thompson"	0.0668292
"Craig Johnson"	0.0668182
"Sun Wen"	0.066351
"Brian Laudrup"	0.0663416
"Teddy Sheringham"	0.0662266
"Ian Wright"	0.0657775
"Roy Lassiter"	0.0654626
"Glenn Robinson"	0.0654039
"Rodney Rogers"	0.0653261
"Juha Ylonen"	0.0651591
"Cindy Parlow"	0.0650924
"Thierry Henry"	0.0650055
"Matt Bullard"	0.0649574
"Steve Rucchin"	0.0648307
"Othella Harrington"	0.0648045
"Jarvis Turner"	0.0647922
"Dave Manson"	0.0646712
"Alan Henderson"	0.0644807
"Juergen Klinsmann"	0.064389
"Mike Modano"	0.0641407
"DeLisha Milton"	0.0639968
"Tyrone Nesby"	0.0638478
"Jerome Kersey"	0.0637867
"Kyle McLaren"	0.0637515
"Richard Matvichuk"	0.0637412
"Lamond Murray"	0.0634261
"Faustino Asprilla"	0.0633217
"Cedric Ceballos"	0.0632717
"Tracy McGrady"	0.0631604
"Raul Diaz Arce"	0.0630814
"David Trezeguet"	0.0629263
"Chris Taylor"	0.0629102
"Donyell Marshall"	0.0625005
"Michael Finley"	0.0622636
"Sam Clancy"	0.0622201
"Sheryl Swoopes"	0.0621513
"Tony Hrkac"	0.0616539
"Chris Crawford"	0.0613674
"Aaron Williams"	0.061328
"Brenden Morrow"	0.0609901
"Theo Ratliff"	0.0609359
"Vladimir Malakhov"	0.0607278
"Ian Laperriere"	0.0607181
"Enrico Chiesa"	0.0606751
"Marcus Fizer"	0.0604986
"Cobi Jones"	0.0604391
"J.R Reid"	0.0603999
"Scot Pollard"	0.060384
"Predrag Mijatovic"	0.0602618
"Kris Clack"	0.0601415
"Jumaine Jones"	0.0601131
"Sergei Samsonov"	0.0598495
"Wang Tao"	0.0596969
"Raul Gonzalez"	0.0595619
"Kevin Willis"	0.0595347
"Mike Miller"	0.0593356
"Austin Croshere"	0.0592653
"Paul Scholes"	0.0592267
LeClair	0.0591662
"Shareef Abdur-Rahim"	0.0591382
))
("Adam Graves" (desc 2941.05) (sims
"Kevin Stevens"	0.327828
"John MacLean"	0.298716
"Niklas Sundstrom"	0.279263
"Brian Leetch"	0.268905
"Todd Harvey"	0.222351
"Manny Malhotra"	0.207468
"Petr Nedved"	0.185146
"Tim Taylor"	0.148105
Hlavac	0.121435
"Wayne Gretzky"	0.120452
Graves	0.109932
"Mike Richter"	0.104342
"John LeClair"	0.101078
"Ulf Samuelsson"	0.0987152
Kamensky	0.093991
"Paul Coffey"	0.093785
"Mark Recchi"	0.0915871
"Wendel Clark"	0.0890278
Nedved	0.0877992
"Mark Messier"	0.0842158
"Theo Fleury"	0.0836428
Reichel	0.0834318
Niedermayer	0.0818084
"Vincent Damphousse"	0.079666
Leetch	0.0788331
Fedorov	0.0785102
"Mathieu Schneider"	0.0780913
Smolinski	0.0773116
"Brian Rolston"	0.0766733
"Keith Jones"	0.0725227
Carbonneau	0.0723683
"Dixon Ward"	0.0721549
"Chris Chelios"	0.0716354
Sykora	0.0708215
Audette	0.0685951
"Scott Niedermayer"	0.0680281
"Larry Murphy"	0.0660868
Duchesne	0.0660738
Woolley	0.0658225
Langenbrunner	0.0656642
Robitaille	0.0654853
Drury	0.0652739
"Doug Gilmour"	0.0651957
"Dan Cloutier"	0.0651262
Tverdovsky	0.0645795
"Pavel Bure"	0.0645195
"Brett Hull"	0.0644516
Lacroix	0.064325
Kovalev	0.0639512
Nieuwendyk	0.0638456
Andreychuk	0.0634482
Recchi	0.0618195
Stumpel	0.0606158
LaPointe	0.0603934
"Valeri Kamensky"	0.0595238
"Scott Gomez"	0.0592198
LeClair	0.0588314
"Ray Bourque"	0.058322
"Owen Nolan"	0.0582891
Rucchin	0.0579335
Holik	0.0572573
Primeau	0.0572496
"Adam Oates"	0.0566861
"John Vanbiesbrouck"	0.0566635
"Fredrik Olausson"	0.0565027
Gorter	0.0563093
"Chris Drury"	0.0556588
"Mario Lemieux"	0.0555459
Tocchet	0.0554069
"Steve Duchesne"	0.0551206
Messier	0.0551172
Turgeon	0.0550674
"Peter Bondra"	0.0548303
Barrie	0.0547704
Sundin	0.0538233
"Claude Lemieux"	0.0537937
"Steve Heinze"	0.0537318
Gilmour	0.0535838
"New York Rangers"	0.0535227
Palffy	0.0529639
"Bobby Orr"	0.0527986
"Curtis Joseph"	0.0526427
Selanne	0.052467
Yzerman	0.0522928
"Darren Van Impe"	0.0521334
"Dmitri Khristich"	0.0514947
"Dallas Drake"	0.0513576
Bure	0.0513291
"Bill Guerin"	0.0512747
"Jeremy Roenick"	0.0511284
"Gary Roberts"	0.050584
"Ron Francis"	0.0504574
Serna	0.0501358
Richter	0.0497775
Suker	0.0497034
"Nelson Emerson"	0.0496633
"Darryl Sydor"	0.0496576
"Cliff Ronning"	0.0495299
Jacke	0.0493684
"Bryan Smolinski"	0.0491597
Fleury	0.0490563
Ricci	0.0490419
Arnott	0.049008
axelsson	0.048851
"Nicklas Lidstrom"	0.048726
MacLean	0.0486779
Sydor	0.0486064
"Rob Blake"	0.048559
"Joe Sakic"	0.0484873
Chelios	0.0484324
Laudrup	0.0480414
Vieri	0.0473116
"Jason Allison"	0.0471948
Verbeek	0.0468534
"Jeff Friesen"	0.0466983
Kariya	0.0466613
"Jay Pandolfo"	0.0465015
"Kristine Lilly"	0.0464195
"Paul Kariya"	0.0461971
"Glen Murray"	0.0460984
Forsberg	0.0459504
Muoneke	0.0459477
Bullard	0.0459281
"Shannon MacMillan"	0.045875
"Luc Robitaille"	0.0458255
"Gordie Howe"	0.0457147
Laperriere	0.0453755
Welton	0.0449101
"Travis Green"	0.044893
"Pat Verbeek"	0.044851
Bergkamp	0.044774
Hejduk	0.0447035
Lindros	0.0446897
"Steve Thomas"	0.0446763
Bierhoff	0.0445054
Hendrickson	0.0444817
Jagr	0.0444806
"Lyle Odelein"	0.044454
Lassiter	0.0443708
Smyth	0.044333
"Rob DiMaio"	0.0443183
linemates	0.0442387
Kluivert	0.0440431
"Dale Carter"	0.0439878
Neely	0.0437108
Salo	0.043419
"Derian Hatcher"	0.0433249
Roenick	0.0432093
"P.J Axelsson"	0.0431278
Kohn	0.0428409
"Joe Nieuwendyk"	0.0426489
"Dave Manson"	0.0419516
"Ken Belanger"	0.0418452
"Jaromir Jagr"	0.0417133
Klinsmann	0.0416635
Sather	0.0415688
Briere	0.0414875
"Doug Weight"	0.0414571
hermosillo	0.0413566
Yashin	0.0411644
"Steve Rucchin"	0.0411464
"Mike Modano"	0.040875
Graziani	0.0408587
"ZIGMUND PALFFY"	0.0404004
"Sergei Samsonov"	0.0401081
))
("Adam Kennedy" (desc 3536.07) (sims
"Scott Spiezio"	0.353534
"Troy Glaus"	0.335867
"Randy Velarde"	0.311938
"Kevin Stocker"	0.261675
"Warren Morris"	0.261366
"Bengie Molina"	0.259026
"Orlando Palmeiro"	0.255086
"Craig Counsell"	0.244991
"Miguel Cairo"	0.240992
"Damian Jackson"	0.238262
"Phil Nevin"	0.23767
"Derrek Lee"	0.233153
"Ray Durham"	0.23209
Rolen	0.229588
Glaus	0.229542
"Mickey Morandini"	0.228807
"Tim Salmon"	0.228756
"Kevin Jordan"	0.226589
"Gary DiSarcina"	0.225292
"Garret Anderson"	0.222658
"Jose Vidro"	0.221229
"Matt Walbeck"	0.220953
"Benji Gil"	0.219535
"Russ Johnson"	0.219166
"Darin Erstad"	0.217942
"Tony Batista"	0.215875
"David Bell"	0.215836
"Dave Hollins"	0.213336
"Todd Walker"	0.211121
"Luis Castillo"	0.210696
"Herbert Perry"	0.210453
"Edgardo Alfonzo"	0.210129
"Scott Rolen"	0.209235
"Mark Loretta"	0.207164
"Luis Alicea"	0.206552
Vidro	0.205859
"Mark Kotsay"	0.205356
Fullmer	0.204003
"Matt Franco"	0.203648
"Eric Owens"	0.203624
"Geoff Jenkins"	0.203003
"Quilvio Veras"	0.202833
Randa	0.202604
Erstad	0.200655
Lankford	0.199325
"Eric Chavez"	0.199037
"Carlos Lee"	0.198902
"Jeff Kent"	0.198637
"Marvin Benard"	0.197881
"Andy Sheets"	0.197766
"Joe McEwing"	0.197354
"Pokey Reese"	0.194911
"Mike Benjamin"	0.191427
"Fernando Vina"	0.191305
"Enrique Wilson"	0.191013
"Jose Hernandez"	0.190218
Abreu	0.189718
"Erubiel Durazo"	0.189636
Cirillo	0.189157
"Jim Edmonds"	0.188588
"John Vander Wal"	0.18779
"Mike Lansing"	0.187412
"Todd Greene"	0.186996
"Doug Glanville"	0.185283
"Ron Coomer"	0.184921
"Jose Offerman"	0.184672
"Mark McLemore"	0.184462
"Bill Spiers"	0.184299
"Pat Burrell"	0.183304
"Bruce Aven"	0.183007
"Carlos Febles"	0.182773
"Bill Mueller"	0.181403
"Dave Hansen"	0.18061
"Matt Lawton"	0.180523
"Mark Grudzielanek"	0.180212
"Tony Womack"	0.178724
"Keith Lockhart"	0.178152
"Andy Fox"	0.178032
"Benny Agbayani"	0.17654
"Jose Guillen"	0.175486
"David Ortiz"	0.175178
Alfonzo	0.174918
"Tony Graffanino"	0.17479
"Jeff Huson"	0.174212
"Luis Lopez"	0.173359
Higginson	0.172997
"Tim Bogar"	0.172834
"Paul Konerko"	0.172756
"Kelly Stinnett"	0.172689
"Joe Randa"	0.171982
"Jeff Frye"	0.171894
"Fred McGriff"	0.171761
"Jose Vizcaino"	0.171354
"Damion Easley"	0.171236
"Rico Brogna"	0.171019
"Adrian Beltre"	0.17092
"Jeff Cirillo"	0.170111
"Kevin Young"	0.170014
"Craig Paquette"	0.169586
"Jay Bell"	0.169514
"Mike Lamb"	0.169475
Burnitz	0.16914
"Craig Biggio"	0.168994
"Damian Miller"	0.168885
"Edgar Renteria"	0.168807
"Jeff Conine"	0.168802
Veras	0.16868
"Sean Casey"	0.168186
"Chris Widger"	0.167527
"Neifi Perez"	0.167201
"Terrence Long"	0.16643
"Dante Bichette"	0.165216
"Dave Martinez"	0.164988
"Trot Nixon"	0.164266
"Eddie Taubensee"	0.163527
"Matt Luke"	0.163502
"Ryan Klesko"	0.163475
"Corey Koskie"	0.163456
"Eric Karros"	0.162938
"Preston Wilson"	0.162395
"Bobby Abreu"	0.162154
"Chuck Knoblauch"	0.161255
"Dean Palmer"	0.160903
"Ricky Gutierrez"	0.160528
"Delino DeShields"	0.160337
"Jason Varitek"	0.159788
"Manny Alexander"	0.159725
"Jose Valentin"	0.159308
"Russ Davis"	0.158506
"Wally Joyner"	0.15829
"Cristian Guzman"	0.157561
"Melvin Mora"	0.157214
"Mike Stanley"	0.157012
"Ozzie Guillen"	0.156814
"Dmitri Young"	0.156666
"Deivi Cruz"	0.156628
"Todd Pratt"	0.15603
"Mike Bordick"	0.155285
"Alex Cora"	0.155178
"John Valentin"	0.154868
"Frank Catalanotto"	0.154864
"Mike Sweeney"	0.154707
"CARLOS HERNANDEZ"	0.154437
"Brian Daubach"	0.153555
"Vladimir Guerrero"	0.152945
"Stan Javier"	0.152909
"Robin Ventura"	0.152606
"Tony Eusebio"	0.152564
"Walt Weiss"	0.152095
Aurilia	0.151461
"Rondell White"	0.151238
"Joey Cora"	0.15116
Molina	0.150815
"John Olerud"	0.150652
Spiers	0.150571
"Ruben Rivera"	0.150183
"Royce Clayton"	0.150035
"Cliff Floyd"	0.149907
"J.T Snow"	0.149782
"Carlos Beltran"	0.149731
"Tony Phillips"	0.149669
"Travis Fryman"	0.149456
"Travis Lee"	0.149025
"Jason Giambi"	0.149015
"Wilton Guerrero"	0.148787
"Lenny Harris"	0.148728
"Pat Meares"	0.148623
"Chad Curtis"	0.147721
"Jim Leyritz"	0.147572
"Lee Stevens"	0.147557
"Bret Boone"	0.147111
"Rich Becker"	0.14682
"Rusty Greer"	0.146582
Merloni	0.146538
"Darren Lewis"	0.146168
"Eric Young"	0.145837
Renteria	0.145412
"Todd Zeile"	0.145055
"Scott Brosius"	0.145003
"Fernando Tatis"	0.144693
Alicea	0.144594
"Roberto Alomar"	0.144574
"Tino Martinez"	0.144435
"Matt Stairs"	0.144257
"Luis Gonzalez"	0.144189
"Gerald Williams"	0.14386
"Harold Baines"	0.143794
"Gregg Jefferies"	0.143231
Dunston	0.142859
"Raul Ibanez"	0.142688
"Jay Payton"	0.142674
"Roger Cedeno"	0.142673
"John Jaha"	0.142666
"Jason Kendall"	0.142525
"Rafael Furcal"	0.141897
"Troy O'Leary"	0.14159
"Ron Gant"	0.141136
"Greg Colbrunn"	0.141113
"Carlos Baerga"	0.140757
"Brad Fullmer"	0.140126
"Charlie Hayes"	0.140091
"Bobby Higginson"	0.13983
"Brady Anderson"	0.139756
"Carl Everett"	0.139525
"Alex Gonzalez"	0.139362
"Jeff Bagwell"	0.138716
"Mike Lieberthal"	0.138615
Agbayani	0.138529
"Jay Buhner"	0.138505
"Richie Sexson"	0.13813
"Magglio Ordonez"	0.137986
"David Segui"	0.137963
"Glenallen Hill"	0.137957
Vizquel	0.137854
"Edgar Martinez"	0.137742
"John Mabry"	0.137612
"Jeffrey Hammonds"	0.13751
Elster	0.137476
"Devon White"	0.136506
"Brian Hunter"	0.136504
"Chipper Jones"	0.136258
"Mike Cameron"	0.136235
"Mo Vaughn"	0.136117
"Will Clark"	0.136082
"Todd Helton"	0.135867
Bautista	0.135498
"Tom Goodwin"	0.135331
"Omar Vizquel"	0.135218
"Carlos Guillen"	0.135178
"Quinton McCracken"	0.134827
Velarde	0.134812
"Matt Williams"	0.134645
"Greg Vaughn"	0.134616
Glanville	0.134386
"Ben Grieve"	0.134197
Castilla	0.134117
Womack	0.133852
Alomar	0.133765
"Einar Diaz"	0.13329
Tejada	0.133231
"Rey Sanchez"	0.133212
"Ricky Ledee"	0.133164
"Ray Lankford"	0.133102
"Lou Merloni"	0.132818
"Donnie Sadler"	0.132754
"Cecil Fielder"	0.132437
"Mike Lowell"	0.132398
Nevin	0.132236
"Derek Bell"	0.13216
Grudzielanek	0.131465
"Darryl Hamilton"	0.131385
"Richard Hidalgo"	0.131295
"Frank Thomas"	0.131041
Karros	0.131019
"Wilton Veras"	0.130876
Saenz	0.130849
"Damon Buford"	0.130423
"Rafael Palmeiro"	0.130246
"B.J Surhoff"	0.130099
"Dan Wilson"	0.130071
Stinnett	0.130065
McGriff	0.130043
"Chili Davis"	0.129908
"Rey Ordonez"	0.129546
"J.D Drew"	0.12933
"Chris Gomez"	0.129314
"Mark Grace"	0.129113
"Bobby Smith"	0.129078
"Miguel Tejada"	0.129073
"Ellis Burks"	0.128482
"Johnny Damon"	0.128437
Giambi	0.128272
"Vinny Castilla"	0.127577
"Ken Caminiti"	0.127373
"Butch Huskey"	0.127338
"Tony Clark"	0.127319
"Carlos Delgado"	0.127259
"Jermaine Dye"	0.126992
"Brad Ausmus"	0.126989
"Jeremy Giambi"	0.126764
"Marquis Grissom"	0.126684
"Brian Giles"	0.125957
Batista	0.125866
McLemore	0.125838
Palmeiro	0.125595
Sexson	0.125334
Valentin	0.125273
"Ed Sprague"	0.124882
"Tony Fernandez"	0.124881
"Steve Finley"	0.124847
Olerud	0.124783
Fryman	0.124108
Klesko	0.124078
"Kurt Abbott"	0.124062
"Raul Mondesi"	0.123652
"Gary Sheffield"	0.123366
"F.P Santangelo"	0.122882
"Nomar Garciaparra"	0.122797
"Jim Thome"	0.122536
Daubach	0.121824
"Karim Garcia"	0.12095
"Desi Relaford"	0.120715
Beltran	0.120708
"Danny Bautista"	0.120566
"Kenny Lofton"	0.119861
"Ramon Ortiz"	0.119857
Burks	0.119707
"Henry Rodriguez"	0.11949
"Juan Encarnacion"	0.118994
"Aaron Boone"	0.118945
"Al Martin"	0.11893
"Paul Bako"	0.118821
Biggio	0.118818
"David Dellucci"	0.11876
Knoblauch	0.118553
"Willie Greene"	0.118532
Bergeron	0.118296
Bordick	0.118266
"Andruw Jones"	0.117916
"Wil Cordero"	0.117513
Catalanotto	0.117267
"Jorge Posada"	0.116865
"Reggie Sanders"	0.116789
"Bernard Gilkey"	0.116515
"Rich Aurilia"	0.116427
"Derek Jeter"	0.116321
"Scott Schoeneweis"	0.116235
"Michael Tucker"	0.116218
"Shane Andrews"	0.116191
"Brent Mayne"	0.116015
"Javy Lopez"	0.115989
"Todd Hollandsworth"	0.115652
Beltre	0.115119
"Luis Sojo"	0.114995
Lieberthal	0.114984
"Brook Fordyce"	0.114928
Ledee	0.114839
"Kevin Elster"	0.114774
"Rob Ducey"	0.114582
Canseco	0.114441
"Shawn Green"	0.114343
"Luis Polonia"	0.114299
"Bernie Williams"	0.114171
"Andres Galarraga"	0.114025
Hollins	0.11399
Varitek	0.11352
"Lance Berkman"	0.113474
"Brian Jordan"	0.112889
DeShields	0.112626
Loretta	0.112202
"Tyler Houston"	0.112041
"Bubba Trammell"	0.111943
"Rickey Henderson"	0.111815
"Gabe Kapler"	0.111809
"Sandy Alomar"	0.111519
"Barry Larkin"	0.111402
Konerko	0.111139
Offerman	0.110837
Bagwell	0.110804
"Daryle Ward"	0.109809
Garciaparra	0.109414
"Jason Dickson"	0.109177
"Sean Berry"	0.108778
Surhoff	0.108652
"Darren Bragg"	0.108328
"Brian McRae"	0.108157
Gant	0.108039
"Todd Hundley"	0.108011
Zeile	0.107556
Lawton	0.10751
"Tom Lampkin"	0.107427
"Jon Nunnally"	0.107229
Lofton	0.106743
Ordonez	0.106691
"Ivan Rodriguez"	0.106674
Brogna	0.106554
Meares	0.106524
Tatis	0.106131
Segui	0.106115
"Mitch Meluskey"	0.105904
"Shawon Dunston"	0.105637
Cedeno	0.105522
Trammell	0.105149
"Shannon Stewart"	0.104866
Leyritz	0.104317
"Barry Bonds"	0.103765
DiSarcina	0.102703
Hollandsworth	0.102442
"Homer Bush"	0.102095
"Jeromy Burnitz"	0.101897
"Bobby Bonilla"	0.101615
Bichette	0.101555
"Alex Rodriguez"	0.101392
"Charles Johnson"	0.101094
Cora	0.101091
"Joe Girardi"	0.100718
))
("Adam Oates" (desc 1265.84) (sims
"Cliff Ronning"	0.160304
"Jason Allison"	0.142165
"Dale Hunter"	0.131916
"Pierre Turgeon"	0.129764
"Jeremy Roenick"	0.124307
"Greg Adams"	0.1217
"Sergei Fedorov"	0.111258
"Joe Thornton"	0.109406
"Ron Francis"	0.107858
"Keith Primeau"	0.107739
"Keith Tkachuk"	0.10655
"Doug Gilmour"	0.105416
"Alexei Kovalev"	0.101272
"Chris Chelios"	0.101077
"Igor Larionov"	0.100728
"Doug Weight"	0.100292
"Steve Yzerman"	0.0985489
"Adam Deadmarsh"	0.0948021
Stumpel	0.0939576
"Olli Jokinen"	0.0934542
"Todd MacCulloch"	0.092772
"Bill Ranford"	0.0923788
"Jyrki Lumme"	0.0907516
"Don Sweeney"	0.0906694
"Chris Taylor"	0.0906375
"Pavol Demitra"	0.0878206
"Ian Laperriere"	0.0878184
"Chris Mihm"	0.0871
"Joe Murphy"	0.0858653
"Ray Bourque"	0.0856972
"Ray Ferraro"	0.0855608
"Chris Drury"	0.0849707
"Joe Juneau"	0.0849613
"Aaron Gavey"	0.0845856
"Jennifer Gillom"	0.0845511
"Ike Austin"	0.0839663
"Yao Ming"	0.0837075
"Marty McSorley"	0.0833924
"Yanic Perreault"	0.0828533
"Vitaly Potapenko"	0.0827584
"Wendel Clark"	0.0822693
"Rick Tocchet"	0.0818961
"Curtis Brown"	0.0818948
"Brendan Shanahan"	0.0818676
"Travis Green"	0.0815179
"Dmitri Khristich"	0.0814537
"Dave Andreychuk"	0.0808584
"Donyell Marshall"	0.0788754
"Teppo Numminen"	0.0788718
"Brian Scalabrine"	0.0787673
"Shawn Bradley"	0.0783712
"Jake Voskuhl"	0.0780184
"Kelvin Cato"	0.077285
"Teemu Selanne"	0.0772533
"Vincent Damphousse"	0.0769865
"Bob Corkum"	0.0745395
"Robert Reichel"	0.0745036
"Al MacInnis"	0.0743933
"Petr Nedved"	0.0737361
"Wang Zhizhi"	0.0736729
"Paul Kariya"	0.0735977
"Scott Gomez"	0.0729969
"Mats Sundin"	0.0729406
"Steve Heinze"	0.0726237
"Ulf Samuelsson"	0.072317
"Derrick Coleman"	0.0721787
"Jozef Stumpel"	0.0719279
"Bryan Smolinski"	0.0714366
"John LeClair"	0.0705683
"Chris Anstey"	0.0701744
"Steve Rucchin"	0.0699069
"Sean Rooks"	0.0699017
"Rob DiMaio"	0.0698749
"John Grahame"	0.0698252
"Petr Sykora"	0.0690162
Fedorov	0.0683819
"Alexei Yashin"	0.0683734
"Brad Miller"	0.0682221
Duchesne	0.0679856
Yzerman	0.0678888
"Arvydas Sabonis"	0.0677757
"Nicklas Lidstrom"	0.0676307
"Yolanda Griffith"	0.0670114
"Michael Peca"	0.0661967
Sundin	0.0661893
"Raul Diaz Arce"	0.0661585
"Tim Taylor"	0.0653463
"Theo Ratliff"	0.0649964
Zamorano	0.0649847
"Vlade Divac"	0.0645401
"Tony Hrkac"	0.0644074
"Olden Polynice"	0.0643531
Preki	0.0641184
"Mark Stepnoski"	0.0636917
Kamensky	0.0635703
Gatling	0.0634396
"Joe Sakic"	0.0632315
"Joe Nieuwendyk"	0.0631931
"Peter Forsberg"	0.0630739
"Theo Fleury"	0.0630442
"Kenny Thomas"	0.0628932
"Lisa Leslie"	0.0627572
Nedved	0.0624228
"Zydrunas Ilgauskas"	0.0620499
"Dallas Drake"	0.0619066
"Danny Fortson"	0.0611053
"Ante Razov"	0.0610773
"Dan Gadzuric"	0.0608739
"Elden Campbell"	0.0608316
"Greg Ostertag"	0.0604174
"Raef LaFrentz"	0.0603539
"Horace Grant"	0.0602154
"Dave Wohlabaugh"	0.060182
"Mark Messier"	0.0601409
"Juha Ylonen"	0.0599376
Hlavac	0.0596164
"Aaron Williams"	0.0594637
"Rony Seikaly"	0.0591078
"Bobby Holik"	0.059045
"Sergei Samsonov"	0.0586776
"Manny Malhotra"	0.0585024
"Rob Blake"	0.0584091
"Mike Sullivan"	0.0583909
"Rik Smits"	0.0580131
Daigle	0.0579685
"Kyle McLaren"	0.0579159
Counsell	0.0575271
"Jermaine O'Neal"	0.05743
"Skip Hicks"	0.0573608
"Etan Thomas"	0.0569758
"Adam Graves"	0.0566861
"Patrik Stefan"	0.0566796
Yashin	0.0564163
Lankford	0.0562522
Sydor	0.0562079
"Peter Bondra"	0.0558498
"Guy Carbonneau"	0.055698
"Kenyon Martin"	0.0555324
Longley	0.0554348
"Anson Carter"	0.0552156
Suker	0.0550068
"Jason Arnott"	0.0548759
"Todd Harvey"	0.0547627
"Eric Lindros"	0.0545859
Gervin	0.0545082
Tkachuk	0.054444
Andreychuk	0.0542214
"Hakeem Olajuwon"	0.0539857
Recchi	0.0538272
"Oliver Miller"	0.0534511
"Antonio Davis"	0.0533824
"Ben Wallace"	0.0531663
"Red Star Belgrade"	0.0531102
Fuhr	0.05304
"Roy Lassiter"	0.052875
Sakic	0.0528561
"Nick Anderson"	0.0528289
"Olaf Kolzig"	0.0527342
"Scott Thornton"	0.0526787
"Stern John"	0.0526708
"Brian Skrudland"	0.0525073
Alfredsson	0.0520087
"Travis Knight"	0.0520022
"John Salley"	0.0518482
"Natalie Williams"	0.0518405
"ZIGMUND PALFFY"	0.051655
Fleury	0.0513636
Lieberthal	0.0512605
"Matt Geiger"	0.0510242
McCloud	0.051019
Figgs	0.0509915
"Kevin Stevens"	0.0506235
Rucchin	0.0506114
Laettner	0.0504937
"Pavel Bure"	0.050374
LaPointe	0.0502987
"Jamie Feick"	0.0502216
"Kevin Willis"	0.0502001
Drury	0.0501269
"Van Exel"	0.0500459
"Joe Kleine"	0.0499225
Kovalev	0.0498588
"Rico Hines"	0.0497398
"Karim Abdul-Jabbar"	0.0496585
"DeLisha Milton"	0.0495411
"P.J Axelsson"	0.04939
Vidro	0.0493624
"Mike Modano"	0.0493173
"Scot Pollard"	0.0492293
Laperriere	0.0490793
"Matt Luke"	0.048889
Heinze	0.0488015
"Luc Longley"	0.0487584
Jagr	0.0487124
"Dikembe Mutombo"	0.0487043
"Brian McBride"	0.0485822
Bullard	0.0485606
"Byron Dafoe"	0.0485461
Konerko	0.0485123
Zubov	0.0485103
))
("Adam Petty" (desc 2941.94) (sims
"Kenny Irwin"	0.200847
"Matt Kenseth"	0.200733
"Mike Skinner"	0.186235
"Tony Stewart"	0.171127
"Ken Schrader"	0.157237
"Dale Jarrett"	0.154186
"Sterling Marlin"	0.153061
"Elliott Sadler"	0.139482
"Dale Earnhardt Jr."	0.13573
"Earnhardt Jr."	0.130536
"Ernie Irvan"	0.128469
"Richard Petty"	0.127929
"Steve Park"	0.125822
"Kyle Petty"	0.125451
petty	0.123108
"Jimmy Spencer"	0.121364
"Joe Nemechek"	0.120232
"Buckshot Jones"	0.118038
"Wally Dallenbach"	0.115907
"Michael Kennedy"	0.113196
"Dale Earnhardt"	0.111204
"Geoffrey Bodine"	0.108212
"Jeremy Mayfield"	0.108156
"Bill Elliott"	0.10641
"Bobby Labonte"	0.104459
Earnhardt	0.102864
"Rusty Wallace"	0.102764
Irvan	0.102233
"Terry Labonte"	0.10174
"Jeff Gordon"	0.101613
"Todd Bodine"	0.101469
"Ralf Schumacher"	0.101262
"Jerry Nadeau"	0.100937
"John Kennedy Jr."	0.100583
Irwin	0.0979966
"Robby Gordon"	0.0949044
"Martha Moxley"	0.094722
"Michael Waltrip"	0.0931906
"Mark Martin"	0.0911968
Dudayev	0.0900897
"Jeff Burton"	0.0892153
"Greg Moore"	0.0881537
"Leon Smith"	0.0878262
Webdale	0.0870726
"Ricky Rudd"	0.0868359
"Johnny Benson"	0.0867681
"Greg Ray"	0.0854067
motorcyclist	0.085216
"Heinz-Harald Frentzen"	0.084726
"Matthew Eappen"	0.0841962
"Bobby Hamilton"	0.0840919
Zanardi	0.0829797
"Darrell Waltrip"	0.0827265
"Christian Fittipaldi"	0.0826642
"Ward Burton"	0.0818742
"Mika Salo"	0.081818
Phills	0.0816927
Puente	0.0810811
Rushdie	0.0809553
"Bobby Phills"	0.0795898
"Michael Andretti"	0.0775934
Waltrip	0.0773642
"Ricky Craven"	0.0771991
Biko	0.0770153
Ileto	0.0767228
"Ted Musgrave"	0.076208
"Thomas Youk"	0.0755906
Foyt	0.0754796
"Sam Schmidt"	0.073576
Jarrett	0.0733973
"John Andretti"	0.0720813
Adam	0.0706088
Villeneuve	0.0701463
Dahmer	0.0696026
"Kendra Webdale"	0.0693091
Mayfield	0.0690133
"Jerry Garcia"	0.0688913
Kenseth	0.0687625
Youk	0.0684525
Moxley	0.0680585
Curley	0.0679798
Andretti	0.0676754
Franchitti	0.0672347
"Martin Luther King III"	0.0663174
"Sarah Hughes"	0.0657711
Krasniqi	0.0657414
"Chris Simms"	0.0649503
Perrot	0.0647251
Dorismond	0.0640518
Binion	0.0635103
Montoya	0.0633835
Pruett	0.0627742
"Scott Goodyear"	0.0623272
Kenny	0.0620856
"Alex Zanardi"	0.0620278
"Princess Diana"	0.0616855
"Patrick Dorismond"	0.0616388
"Jin Ho Cho"	0.0610212
"Jacques Villeneuve"	0.0610154
Starovoitova	0.0609723
Gathers	0.0609078
daughter-in-law	0.0608677
"John F. Kennedy Jr."	0.0607572
"Kenny Brack"	0.0604439
Makinen	0.0604093
Yoon	0.0603414
Moreno	0.0601686
"David Coulthard"	0.0599895
PFC	0.0596148
"Rafael Furcal"	0.0592142
Marchand	0.059209
craven	0.0590771
Labonte	0.0590418
"Francisco Franco"	0.0588571
Alydar	0.0588435
"Andreas Papandreou"	0.0587101
"Bryan Herta"	0.0586601
"traveling salesman"	0.0584931
Burton	0.0584556
Nkabinde	0.0583156
Costin	0.0581861
Baez	0.0580666
Coulthard	0.0578156
Cobain	0.0578045
Wilkerson	0.057695
"Pol Pot"	0.0574301
"Li Na"	0.0573222
"Jonathan Bender"	0.0571684
Gaither	0.0567805
"Payne Stewart"	0.0566529
"John Lennon"	0.0565404
Snead	0.0561666
"Florence Griffith Joyner"	0.0561512
"JFK Jr."	0.0560634
Bodine	0.0559409
"Ron Brown"	0.055937
"JonBenet Ramsey"	0.0558629
"Scott Pruett"	0.0558607
"Adrian Fernandez"	0.0556678
Mathews	0.0555363
"Didier Auriol"	0.0554895
Norberg	0.0554797
"MIka Hakkinen"	0.0551793
Wallace	0.0551781
"Eddie Irvine"	0.0549872
Skinner	0.0547932
Slepian	0.0547862
Gerardi	0.0547149
"King Hassan"	0.0546344
Sainz	0.0541761
"Juan Montoya"	0.0541018
Elliott	0.0538826
"Kevin Lepage"	0.0538164
racer	0.0536604
Hickman	0.0534864
JonBenet	0.05345
"Kim Perrot"	0.0534044
Bellush	0.0533587
Fahey	0.053315
STACEY	0.0533121
Beye	0.0532909
stuntman	0.0531183
"Al Unser Jr."	0.0530986
"Matthew Shepard"	0.0530876
"Joe DiMaggio"	0.052908
Durwood	0.0528677
militiaman	0.0526707
"Bashar Assad"	0.0524324
"Alexander the Great"	0.0524172
"Paul Coverdell"	0.0523298
Neulander	0.0521906
Ibrahim	0.0520584
Hess	0.0520152
Humphrey	0.0519876
"Shao Yunhuan"	0.0519588
Angelica	0.0518154
vaulter	0.0516674
"Claudia Benton"	0.0514141
Hani	0.0513705
"Vincent Foster"	0.0513527
Amedure	0.0512019
"Griffith Joyner"	0.050801
"Carlos Sainz"	0.0507764
Byrdsong	0.0507467
"Hafez Assad"	0.050586
"Damon Hill"	0.0504668
Faison	0.0503346
Selena	0.0503081
"James Byrd Jr."	0.0502986
"Michael Schumacher"	0.0502878
"David Koresh"	0.0502228
"Larry Nelson"	0.0501341
Shurmur	0.0500957
Grissom	0.0499581
McRae	0.0499446
"Se Ri Pak"	0.0498585
Sealy	0.0497617
stepdaughter	0.0495597
Daniel	0.0494996
Herta	0.0494527
))
("Adam Sandler" (desc 6260.13) (sims
"Eddie Murphy"	0.143936
Sandler	0.139183
"Mike Myers"	0.133505
"Matt Damon"	0.128055
"Robin Williams"	0.126632
"Jim Carrey"	0.123568
"Norm MacDonald"	0.118435
"Leonardo DiCaprio"	0.115557
"Martin Lawrence"	0.113274
"Harrison Ford"	0.111442
"Tom Cruise"	0.103532
"John Belushi"	0.102318
"Brad Pitt"	0.100488
"Julia Roberts"	0.0998516
"David Spade"	0.0993066
"Jackie Chan"	0.0980853
"Bill Cosby"	0.0955893
"Roberto Benigni"	0.0948524
"Kate Winslet"	0.0945511
"Sylvester Stallone"	0.0940264
"Bruce Willis"	0.0936441
"Tom Hanks"	0.0920159
"John Travolta"	0.0913973
"Arnold Schwarzenegger"	0.0912383
"Renee Zellweger"	0.0895783
Costner	0.0892936
"Albert Brooks"	0.0892875
"George Clooney"	0.0885365
"John Waters"	0.0877373
"Sandra Bullock"	0.0867289
"Chris Rock"	0.085479
"Garry Shandling"	0.0853092
"Kevin Costner"	0.0850885
"Sharon Stone"	0.0849766
"Woody Allen"	0.0837747
"Michelle Pfeiffer"	0.0834523
"Matthew McConaughey"	0.0832366
"Mel Gibson"	0.0816869
"Meryl Streep"	0.0813343
"Morgan Freeman"	0.080399
"Jack Lemmon"	0.080229
"Edward Norton"	0.0792275
"Gene Hackman"	0.0791422
"Denzel Washington"	0.078074
"Chow Yun-Fat"	0.0779631
"Richard Gere"	0.0777867
"Nicolas Cage"	0.0769596
"Jerry Lewis"	0.0765859
"AL PACINO"	0.0765124
"Rob Lowe"	0.0762094
"Robert Duvall"	0.0750484
"Billy Crystal"	0.0738777
"Keanu Reeves"	0.0735683
"Jay Mohr"	0.0732734
"Clint Eastwood"	0.0732256
"Matthew Broderick"	0.0731723
"Winona Ryder"	0.0731067
"Jack Nicholson"	0.0725955
"Bill Paxton"	0.0714755
"Mike Nichols"	0.0709723
"Ben Affleck"	0.0707251
"Jodie Foster"	0.0704572
"Spencer Tracy"	0.0704103
"Mel Brooks"	0.0699616
"Cameron Diaz"	0.0696824
"Will Smith"	0.0691663
"Dennis Miller"	0.0670985
"Anthony Hopkins"	0.0670684
"Bob Hope"	0.0670462
"Dustin Hoffman"	0.0669684
"Jeff Daniels"	0.0669647
"Sean Penn"	0.0659883
"Ron Howard"	0.0652506
"Sean Connery"	0.0650751
"Jessica Lange"	0.0646503
"James Van Der Beek"	0.0645972
"Robert de Niro"	0.0644026
"Nicole Kidman"	0.0642919
"Tobey Maguire"	0.0636431
"Jennifer Love Hewitt"	0.0629443
"Michael Caine"	0.0626054
"Tim Allen"	0.0625101
"Sam Shepard"	0.0621076
"Robert DeNiro"	0.062034
Carrey	0.0618628
"Sidney Poitier"	0.0615932
"Steve Martin"	0.0611669
"Juliette Lewis"	0.0606907
"Jennifer Aniston"	0.0602722
"Meg Ryan"	0.0601499
"Robert Redford"	0.0599893
"Helen Mirren"	0.059903
"William H. Macy"	0.059741
"Sarah Jessica Parker"	0.0594191
"John Cleese"	0.0594144
"Ben Stiller"	0.0590823
"Tom Selleck"	0.0589964
"Nick Nolte"	0.0589038
"Heather Graham"	0.0588606
"Brian Dennehy"	0.0588556
"Marlon Brando"	0.0587408
"Kevin Spacey"	0.0586889
"Uma Thurman"	0.058617
Boorman	0.0586152
"Pierce Brosnan"	0.0585274
"Jerry Seinfeld"	0.058416
"Gwyneth Paltrow"	0.0581447
"David Letterman"	0.058024
DiCaprio	0.0575825
"Jimmy Stewart"	0.0575326
"Drew Carey"	0.0575131
"John Cusack"	0.0574358
"Demi Moore"	0.0572383
"John Goodman"	0.0572198
Cleese	0.0571162
"Wesley Snipes"	0.0569871
"Humphrey Bogart"	0.0569247
"Bette Midler"	0.0568302
"Holly Hunter"	0.056731
"Michael Douglas"	0.0566517
"Christopher Walken"	0.0566184
Schwarzenegger	0.0563176
"Nathan Lane"	0.0562652
"Whoopi Goldberg"	0.0562485
"Kevin Bacon"	0.0560829
"Matthew Perry"	0.0557576
"Helen Hunt"	0.0557415
"Russell Crowe"	0.0557014
"Drew Barrymore"	0.0555782
"Tim Robbins"	0.0555223
"Ellen DeGeneres"	0.055504
"Warren Beatty"	0.0553799
"Edward Furlong"	0.0552685
"John Wayne"	0.0551489
"Steve McQueen"	0.0551167
"Kirk Douglas"	0.0548889
"Minnie Driver"	0.0547092
"Al Franken"	0.0546961
"Kirsten Dunst"	0.0546489
"Geena Davis"	0.0543651
"Hugh Grant"	0.0543007
"Neil LaBute"	0.0541568
"Frank Capra"	0.0541069
"De Niro"	0.0540645
"Jennifer Lopez"	0.0538728
"Bill Maher"	0.0538165
"Ralph Fiennes"	0.0536548
"Ed Harris"	0.0533801
"Kevin Kline"	0.0530791
"Melanie Griffith"	0.0530444
"Sally Field"	0.0529442
Coen	0.0528347
"Spike Lee"	0.052827
"Sarah Michelle Gellar"	0.0527665
"Julie Andrews"	0.0526962
"George Carlin"	0.0524674
"Johnny Depp"	0.052444
"Vanessa Redgrave"	0.0524064
Travolta	0.0523888
"John Lithgow"	0.052191
"Liam Neeson"	0.0521722
"David Duchovny"	0.052135
Spielberg	0.0520823
"Chevy Chase"	0.0520646
"Burt Reynolds"	0.0520422
"Sela Ward"	0.0518608
"Andre Braugher"	0.0518401
"Bill Murray"	0.0517107
"Greg Kinnear"	0.0512307
Sayles	0.0510185
"Natalie Portman"	0.0507947
"Neil Simon"	0.0506989
"Danny DeVito"	0.0506665
Benigni	0.0506349
"Robert Altman"	0.0504446
"Bill Pullman"	0.0503377
"Jeremy Irons"	0.0502968
"Tracey Ullman"	0.0502513
Foxx	0.0502204
"Andy Kaufman"	0.0501998
"Christopher Reeve"	0.0500177
Cusack	0.0499711
"Marlene Dietrich"	0.0498956
"Marx Brothers"	0.0498662
"Kelsey Grammer"	0.0497903
"Sigourney Weaver"	0.0497866
"Whitney Houston"	0.049644
Damon	0.0496183
Madonna	0.0490478
"Samuel L. Jackson"	0.0490012
"Barry Levinson"	0.0489922
"Orson Welles"	0.0485759
"Ted Danson"	0.0485724
"Ian Holm"	0.0483138
Kidman	0.0483009
"Neve Campbell"	0.0482369
"Rene Russo"	0.0482321
"Judy Garland"	0.0482012
"Calista Flockhart"	0.0481609
"Mod Squad"	0.0481596
))
("Adam Smith" (desc 1299.98) (sims
"Jim McDermott"	0.284133
"Norm Dicks"	0.278879
"Patty Murray"	0.165131
"Christopher Cox"	0.103
"David Jones"	0.0905792
"George Miller"	0.0859935
"Lee Hamilton"	0.0851351
"Henry Waxman"	0.0787947
D-Wash.	0.078429
"John Dingell"	0.076665
"Lloyd Doggett"	0.0757317
"Robert Menendez"	0.074554
"Charles Stenholm"	0.0736415
"Zoe Lofgren"	0.0715993
"Loretta Sanchez"	0.0699855
"Martin Frost"	0.069058
"Paul Krugman"	0.0684449
"Christopher Smith"	0.0674075
"James Rogan"	0.0673404
"Maxine Waters"	0.0671726
"John Boehner"	0.066056
"Carolyn Maloney"	0.0656602
"Jose Serrano"	0.0656071
"Ed Bryant"	0.0649907
"Martin Meehan"	0.0648764
"Charles Rangel"	0.061734
"Tom Coburn"	0.0588837
"Sheila Jackson Lee"	0.0588663
"Dan Miller"	0.0583984
"Jim Turner"	0.0581394
"Henry Bonilla"	0.0577828
"Billy Tauzin"	0.0577554
"Linda Smith"	0.0576456
"John Conyers Jr."	0.0574432
"George Nethercutt"	0.0570461
"Jack Kingston"	0.0567
"Marge Roukema"	0.0566172
"Alejandro Toledo"	0.0561485
"David Bonior"	0.0559651
Voltaire	0.0558205
"Nita Lowey"	0.0554971
"Carolyn McCarthy"	0.0552103
"Mary Bono"	0.055107
"Michael Forbes"	0.0545798
"Porter Goss"	0.0543124
"Charles E. Schumer"	0.0542611
"Jennifer Dunn"	0.0538494
"David Dreier"	0.0537032
"James Sensenbrenner"	0.0536179
"Nancy Pelosi"	0.0532028
Locke	0.0529811
"Matt Salmon"	0.0528522
"Bernard Sanders"	0.0528142
"Mark Green"	0.0525178
Grammer	0.0523227
"Curt Weldon"	0.0519752
"Mark Foley"	0.0516853
"Ron Paul"	0.0515964
"George Gekas"	0.0513653
"Sherwood Boehlert"	0.0512144
"Paul Taylor"	0.0511211
"Bill Thomas"	0.0505644
"Salim Hoss"	0.0505255
"Connie Morella"	0.0500547
"Tom Hayden"	0.0500021
"Bill McCollum"	0.0498901
"Fred Upton"	0.0496548
Lenin	0.0489425
"John Conyers"	0.0488667
"Don Young"	0.0486894
"Richard Gephardt"	0.0483851
"Steve Chabot"	0.0482492
"Henry Aaron"	0.04804
"Jim Bunning"	0.0471669
"Barney Frank"	0.0470035
"Gary Locke"	0.0459906
"Mark Sanford"	0.045867
"Susan Molinari"	0.0457354
"Richard Bryan"	0.0444207
"Charles Canady"	0.0443169
"Greg Ganske"	0.0442402
Chadwick	0.0437078
"Tillie Fowler"	0.0434504
"Rick White"	0.0432588
Cassandra	0.0432062
"Barbara Mikulski"	0.043183
"Ron Wyden"	0.0431214
"Sue Kelly"	0.042876
"Bob Franks"	0.0420743
"Patrick Kennedy"	0.041839
"Jack Quinn"	0.0415388
Hearn	0.0414503
Kerrey	0.0413983
))
("Adam Vinatieri" (desc 1541.77) (sims
"Jason Elam"	0.367656
"Morten Andersen"	0.328897
"Sebastian Janikowski"	0.323545
Vinatieri	0.320509
"John Hall"	0.315224
Elam	0.247173
"Gary Anderson"	0.193987
Jacke	0.159295
Janikowski	0.156644
"Troy Brown"	0.131072
Andersen	0.125478
mare	0.122537
"Eddie Murray"	0.119231
Wilkins	0.116687
"Chris Slade"	0.112677
Carney	0.112026
Richey	0.108029
"Todd Collins"	0.106211
"Shawn Jefferson"	0.0962587
Tupa	0.091347
"chip shot"	0.0874761
"Dave Wohlabaugh"	0.0868491
"Willie Clay"	0.0851024
"Ty Law"	0.0793279
"Ted Johnson"	0.0787363
Alicea	0.0786275
"John Anderson"	0.0742252
Bullard	0.0734235
Conway	0.0713098
"Andy Katzenmoyer"	0.0709329
Seder	0.069461
Niedermayer	0.0693895
Cunningham	0.0688093
Djorkaeff	0.0682292
Rolen	0.0680852
Vidro	0.0678644
"Willie McGinest"	0.0660394
Iglesias	0.0657824
Abdur-Rahim	0.0650343
game-winning	0.0646434
Hollis	0.0635901
Kamensky	0.0634601
Lieberthal	0.063172
Holik	0.0619945
Brisby	0.0609735
Kicker	0.0601913
"Robert Edwards"	0.0601168
"Grant Long"	0.0600431
Turgeon	0.0591398
Faulk	0.0583211
Slade	0.0582711
Gogel	0.0577112
Bergkamp	0.0576597
Stockton	0.0576128
"Terry Glenn"	0.0575599
"Vincent Brisby"	0.0574106
Murrell	0.057397
Tomlinson	0.0568273
LeClair	0.0567548
"Craig Paquette"	0.0567056
Grbac	0.0564355
Gorter	0.0559494
"Keith Smith"	0.0556371
"Deion Sanders"	0.0548627
Enis	0.0547177
Radinsky	0.0546886
"Pat Meares"	0.0545924
Tverdovsky	0.054563
Koznick	0.0544614
"Chad Eaton"	0.0536462
"Randall Godfrey"	0.0534873
Courtney	0.0534794
DiMaio	0.0534381
"Quentin Coryatt"	0.0534035
"Otis Smith"	0.0533816
Walbeck	0.0532943
"Eric Snow"	0.0532172
Reichel	0.0527471
"Joe Kleine"	0.0526418
McDuffie	0.052138
Meares	0.0519842
"Steve Duchesne"	0.0519439
Hornacek	0.051899
Giambi	0.0517636
Brunell	0.0516794
McKenna	0.0515593
Paulson	0.0515444
Stumpel	0.0515157
"Otis Thorpe"	0.0513597
Primeau	0.0512932
Beltran	0.0508655
Nesby	0.0504405
"Van Exel"	0.0504336
Quokka	0.0503768
"Tedy Bruschi"	0.0502125
heatwave	0.050211
"Rodney Rogers"	0.0501961
"Aki Berg"	0.0500611
Tkachuk	0.0499766
"Pokey Reese"	0.0496674
"Charlie Garner"	0.0494031
"George McCloud"	0.0493478
Christie	0.0490648
Scelzi	0.0490064
Cirillo	0.0489521
Elster	0.0488182
Sele	0.0487293
Alfredsson	0.0486016
"Drew Bledsoe"	0.0485815
Cienfuegos	0.0485779
Perisho	0.0485558
Tatis	0.0485467
"Doug Johnson"	0.0485344
"Bruce Bowen"	0.0483281
Langdon	0.0482976
"Eric Murdock"	0.0480518
three-point	0.0479655
MARBURY	0.04793
Chastain	0.0479061
Gimme	0.0478137
Majerle	0.0477899
"Brent Barry"	0.0477141
Lassiter	0.0477087
Hollandsworth	0.0475122
"Kirk Gibson"	0.0475081
"Sam Mack"	0.0474166
"Ellis Burks"	0.047409
Kluivert	0.0473306
Gilmour	0.0471494
"El Guerrouj"	0.0471085
"Kevin Faulk"	0.0470863
"Ronnie Bradford"	0.0468775
Testaverde	0.0467875
"Chris Canty"	0.0467647
Ochoa	0.0467287
"SCOTT BURRELL"	0.0464934
"Ryan Kealy"	0.0464873
"John Vanbiesbrouck"	0.0464784
Schaefer	0.0462924
McGinest	0.046278
"Damien Woody"	0.0462615
Khristich	0.0462431
"Shandon Anderson"	0.0461991
Suker	0.0457071
"Adrian Beltre"	0.0455022
"Jason Allison"	0.0453874
"Gary Trent"	0.0453223
"Heath Irwin"	0.0452984
Hoch	0.0452607
Langham	0.0452331
Laettner	0.0451823
Norstrom	0.0451642
Cepeda	0.0451439
adrenalin	0.0451262
Akers	0.0451047
Waite	0.045042
Recchi	0.0450241
"Rex Chapman"	0.0448209
"Cliff Floyd"	0.0447098
Galindo	0.044697
Sampaio	0.0446703
Gugliotta	0.0446081
"Fredrik Olausson"	0.0443185
"Ben Coates"	0.0442602
"Trent Green"	0.0441829
Beltre	0.0441425
Drury	0.0441424
"John Jaha"	0.0440486
Furcal	0.0440048
Inman	0.0439423
"Ernie Mills"	0.0438981
Boller	0.0438797
Stricker	0.0438286
Uliassi	0.0437691
"Jim Jackson"	0.0437625
"Eric Piatkowski"	0.043718
Arnott	0.0436185
Fryman	0.0435112
"Predrag Mijatovic"	0.0435101
Ceballos	0.043501
Duchesne	0.0433515
Croshere	0.0433051
Baggio	0.0432826
McCloud	0.0432642
signee	0.043238
Dawson	0.0431045
Frye	0.0430864
"Todd Pratt"	0.0430849
Godfrey	0.0429265
Counsell	0.0429219
McNabb	0.0429105
Lilith	0.0428295
"Akili Smith"	0.0427239
"Curtis Martin"	0.0427081
Kittles	0.0425588
Maradona	0.0425225
"Shammond Williams"	0.0425067
Mobley	0.0424619
"Kevin Johnson"	0.0423673
McCarty	0.042332
))
(Adams (desc 23840.1) (sims
Trimble	0.11001
"Gerry Adams"	0.106105
Blair	0.101661
Ahern	0.0980233
Jones	0.0908418
Arafat	0.0907219
Evans	0.0900118
Jackson	0.0892359
Albright	0.0891142
Phillips	0.088275
Gates	0.0880395
Wilson	0.0879045
Cohen	0.0861903
Sanders	0.0846954
perry	0.0841094
Williams	0.084053
Chen	0.0840324
Aziz	0.0837674
Barshefsky	0.0834786
Castro	0.0834691
Denktash	0.0834493
smith	0.0831889
Mandela	0.0830873
Brooks	0.0826597
Fischer	0.0820685
Kim	0.0819617
Davis	0.0819039
Lott	0.0817812
Edwards	0.081759
Harris	0.0816047
Hume	0.0815086
Berger	0.0814392
Hess	0.0810366
Burns	0.0804613
Chirac	0.0804498
Clark	0.0803998
Walsh	0.0803347
Flores	0.0799559
Schroeder	0.0797863
collins	0.079781
Rogers	0.0795473
Carroll	0.079429
Primakov	0.0793789
Johnson	0.0791915
Lee	0.0788378
Samaranch	0.0787917
Thompson	0.0787106
Taft	0.078695
Reeves	0.0785774
Friedman	0.0785626
fisher	0.0785547
Roberts	0.0785355
Helms	0.0784695
Ross	0.0780264
Taylor	0.0779382
Annan	0.0777979
Ramos	0.0777422
Riley	0.0776139
Richardson	0.0775622
Miller	0.0775312
Gonzales	0.0771831
Schwartz	0.0771178
Ferguson	0.0770775
Wang	0.0770604
Jiang	0.0770182
Lewis	0.0768609
Mugabe	0.0768603
Netanyahu	0.0766964
Zhu	0.0764248
McCurry	0.0763003
Richards	0.0762547
Liu	0.0762053
Ecevit	0.0761594
Jenkins	0.0759054
Goh	0.0758609
Lockhart	0.0755222
Wu	0.0752353
Morales	0.0749392
Hoffman	0.0749352
Carter	0.0747798
Li	0.074648
Rubin	0.0746227
Mills	0.0745103
Stevens	0.0743806
Mitchell	0.0743692
Jarvis	0.0741017
Sergeyev	0.0740148
Wells	0.0739626
Torre	0.0739319
Scott	0.0738504
Yeltsin	0.0738107
Ellis	0.0736387
Watkins	0.0736208
Greenberg	0.0734036
Thomas	0.0733803
Barnes	0.0733653
Moore	0.0733596
Rugova	0.0733152
Patten	0.0733105
Robertson	0.0732974
Gadhafi	0.073063
Ivanov	0.0730443
she	0.0730406
Mahathir	0.0728599
James	0.0727575
Daley	0.0725425
Hughes	0.0725196
Shi	0.0724048
Wahid	0.0723646
Welch	0.072254
pope	0.0721605
Barak	0.0721433
Armstrong	0.072094
Sullivan	0.0720212
Putin	0.0719865
Menem	0.0719257
Watson	0.0716595
Obuchi	0.0716253
Meles	0.0714582
Solana	0.0713104
Powell	0.0712463
Azizah	0.071207
Patterson	0.0711871
Lieberman	0.0711867
Estrada	0.0711477
Giuliani	0.0710082
Holbrooke	0.0708851
Cheney	0.0708781
Hu	0.0707058
Weizman	0.0705576
Garcia	0.0703541
Bates	0.0703515
Wright	0.0703403
Kennedy	0.0701967
Tung	0.0701453
Pearce	0.0700146
Johnston	0.0698956
Assad	0.0698339
Sharif	0.0696489
Rosenthal	0.0696037
Kaplan	0.069564
Bennett	0.069517
Robinson	0.0694969
Vajpayee	0.0692895
Myers	0.0692344
Mubarak	0.0692176
Peres	0.0691439
Nelson	0.0691016
Levin	0.0690625
Greenspan	0.069057
Fitzgerald	0.0690493
Simmons	0.0690075
"Le Pen"	0.0690044
Nicholson	0.0689401
Hashimoto	0.0687406
Tsang	0.0686729
McDonald	0.0686719
Macdonald	0.0686599
Haskins	0.0686064
O'Brien	0.068574
Cunningham	0.0684609
Zhao	0.0683997
Kelly	0.0683683
Morris	0.0683222
Selig	0.0681857
Buchanan	0.0681681
Holmes	0.0680427
Howard	0.0679153
Steinbrenner	0.0678966
Graham	0.0677629
Chernomyrdin	0.0677352
Rodriguez	0.0676314
Wallace	0.067584
"Martin McGuinness"	0.0675597
"Bertie Ahern"	0.0675353
Lukashenko	0.0674112
Yates	0.0674086
Jennings	0.0674071
Ritter	0.0673595
Eisner	0.0673408
Gonzalez	0.0671178
Daschle	0.0671162
Clinton	0.0669345
Chiluba	0.0667924
Draskovic	0.0667593
Chung	0.0666715
Chan	0.0666398
Lyons	0.0666317
Snyder	0.0666262
Mordechai	0.0666251
Reyes	0.0666096
Parker	0.0665728
Yang	0.0665054
Hyde	0.0663252
Abdullah	0.0662663
Anderson	0.0661827
Kissinger	0.0661278
Davies	0.0659671
Steinberg	0.0659086
murphy	0.065817
))
(Adana (desc 4869.28) (sims
Izmir	0.195817
Izmit	0.168063
Antalya	0.156245
Bengkulu	0.123197
Bamiyan	0.123011
Zamboanga	0.119922
Haicheng	0.11898
Najaf	0.118657
Diyarbakir	0.116148
Kandy	0.115898
Huambo	0.114638
"Surat Thani"	0.113261
Kindu	0.11291
Basra	0.112713
Herat	0.112709
Hyderabad	0.112479
Juba	0.10889
Istanbul	0.105512
Baalbek	0.103846
Isfahan	0.102025
Baoding	0.100657
Sidon	0.0997065
Rawalpindi	0.0988782
Matadi	0.0969383
Cotabato	0.0952035
Urus-Martan	0.095004
Saida	0.0949534
Tapachula	0.0948565
Kandahar	0.0937633
Kuito	0.0932882
Davao	0.0931252
Bursa	0.0927322
Liuzhou	0.0917669
Acapulco	0.0908151
Port-au-Prince	0.089815
Gudermes	0.0895616
"Port Elizabeth"	0.0894213
"La Paz"	0.0892485
Baotou	0.0889673
Nakuru	0.0885447
Dushanbe	0.0885366
Guayaquil	0.0875333
Urosevac	0.0872785
NIS	0.0866653
Dhahran	0.0860367
Peshawar	0.0854556
Mashhad	0.0853818
Cochabamba	0.0848996
Srinagar	0.0841046
"Santo Domingo"	0.0838814
"San Pedro Sula"	0.0838091
Leskovac	0.0836006
Tete	0.0835227
Ensenada	0.0832694
Bushehr	0.0830463
"Chiang Rai"	0.0830209
Murmansk	0.0813239
Quetta	0.0807553
Zhangbei	0.0806563
Qom	0.0805577
Xuzhou	0.0801092
Matamoros	0.079855
Bukavu	0.0798256
Gnjilane	0.0798192
PEC	0.0796184
Cebu	0.0789704
Trincomalee	0.0783984
Bulawayo	0.0777671
Taloqan	0.0774197
Zhangjiakou	0.0772844
Jalalabad	0.0771317
"Kosovska Mitrovica"	0.077071
Catania	0.0764717
Jayapura	0.0764143
Mazar-e-Sharif	0.0760064
"CHIANG MAI"	0.0755364
Manta	0.0754918
TEGUCIGALPA	0.0754692
Beira	0.0754053
Khulna	0.0753012
Rafah	0.0750297
Paphos	0.074787
Yekaterinburg	0.0738251
Marjayoun	0.0737221
Tangshan	0.073547
Ashkelon	0.0734662
Datong	0.0731689
Zhangzhou	0.0725986
Tabriz	0.0724881
Nabatiyeh	0.0724605
Bissau	0.0723709
"Tel Aviv"	0.0720399
Mosul	0.0719567
Goma	0.0716819
Lijiang	0.0716027
Bailundo	0.0716003
Mombasa	0.0713357
Managua	0.0712145
Kismaio	0.0711141
Haifa	0.0707767
Lahore	0.0706986
Tuzla	0.0706805
Malaga	0.0704486
"Greek capital"	0.0702785
Luzon	0.0700537
Decani	0.0696515
Shashi	0.0693213
Ceyhan	0.0692723
Baku	0.0692113
Golcuk	0.0691815
Vavuniya	0.0690101
Cacak	0.0690068
Benguela	0.0689363
Lille	0.0687522
Sihanoukville	0.0687325
Kizlyar	0.0685087
Hakkari	0.0681594
Chennai	0.0681046
Anshan	0.0680415
Weifang	0.0677589
Palawan	0.0677539
Mazar-i-Sharif	0.0674347
Makeni	0.0674231
Alexandria	0.067256
Algiers	0.0671417
Aswan	0.066806
Naples	0.0666457
Bingol	0.0664783
Beersheba	0.0664195
DHAKA	0.0662601
Vladikavkaz	0.0660776
Oaxaca	0.0659186
ANKARA	0.0657387
Limassol	0.0656811
"Nuevo Laredo"	0.0655269
Chengde	0.0655245
Kukes	0.065404
BOGOTA	0.0653229
"Siem Reap"	0.0652962
Vladivostok	0.0651519
CARACAS	0.0650207
Kragujevac	0.0649206
Novosibirsk	0.0648916
"provincial capital"	0.0647448
Warri	0.0646484
KAMPALA	0.0646035
Krakow	0.0644963
Nairobi	0.0644817
Baidoa	0.0644615
"Novi Sad"	0.0644503
Khost	0.0643216
Puebla	0.0641173
Quanzhou	0.0640744
Kwazulu-Natal	0.0640408
"Ciudad Juarez"	0.0640323
Ibadan	0.0639174
Posoltega	0.0637589
Antioquia	0.0636569
Cabinda	0.0635906
COLOMBO	0.0632868
Argun	0.0632205
Londonderry	0.063213
Sirnak	0.0631682
Medellin	0.0631457
Luxor	0.063065
Dijon	0.0628358
Tunceli	0.062627
Gdansk	0.0625435
Kanungu	0.0624327
Kisumu	0.0622941
Lhokseumawe	0.0621643
"Guatemala City"	0.0621477
"Buenos Aires"	0.0619681
"Banja Luka"	0.0619379
Jaffna	0.0617775
CHENGDU	0.0617554
BIE	0.0616827
Djakovica	0.0616748
Uvira	0.0616497
Durres	0.0615478
"East St. Louis"	0.0614784
Ur	0.0614607
"San Salvador"	0.0614473
Cyberjaya	0.0613095
Prizren	0.0612911
Katanga	0.0612456
Goteborg	0.061088
Medan	0.0609771
Chittagong	0.0608147
Rochester	0.0606215
Tijuana	0.0604911
"Rio de Janeiro"	0.0602776
Skopje	0.0602339
Punjab	0.0602184
Kabul	0.0602151
Karachi	0.0601009
"Cape Town"	0.0599693
Ramallah	0.0598089
"SIERRA BLANCA"	0.0597202
Phuket	0.059599
))
(adaptability (desc 4051.61) (sims
resilience	0.11723
responsiveness	0.106859
endurance	0.104227
stamina	0.103835
Creativity	0.100248
maneuverability	0.0952709
nimbleness	0.0925486
resiliency	0.0894032
versatility	0.0890094
cohesiveness	0.0882166
efficiency	0.0866553
flexibility	0.08501
dexterity	0.0841994
resourcefulness	0.0836728
courage	0.0836687
proficiency	0.0830297
agility	0.0824627
teamwork	0.0822869
efficacy	0.0816857
professionalism	0.0802097
vitality	0.0800848
cost-effectiveness	0.0784481
tenacity	0.077977
competence	0.0774489
shrewdness	0.0769794
durability	0.0767327
dynamism	0.0751146
boldness	0.0714339
originality	0.0710056
fortitude	0.0704925
willingness	0.0700198
pragmatism	0.0692752
perseverance	0.0691767
marketability	0.0690245
productivity	0.0672182
Openness	0.0671762
alertness	0.0662948
selflessness	0.066112
effectiveness	0.0657705
"raw talent"	0.0656025
competitiveness	0.0654518
reliability	0.0654138
explosiveness	0.0653953
dedication	0.0653588
dependability	0.065223
acumen	0.0643784
mobility	0.0641376
usability	0.0641294
soundness	0.0633533
ingenuity	0.0630714
aggressiveness	0.0622483
universality	0.062045
"shareholder value"	0.0616881
toughness	0.0614877
bravery	0.0611905
longevity	0.0610744
composure	0.0610026
accessibility	0.0608126
profitability	0.0606947
predictability	0.0603475
"sense of responsibility"	0.0600842
trustworthiness	0.0598885
"team spirit"	0.059664
precision	0.0595263
"natural ability"	0.0593
persistence	0.0590223
"economies of scale"	0.0582846
firmness	0.0582785
liquidity	0.057993
magnificence	0.0575498
attractiveness	0.0574502
"sense of purpose"	0.0570969
sensitivity	0.0565059
athleticism	0.056484
"reaction time"	0.0562851
sportsmanship	0.0561374
"good will"	0.0559782
"staying power"	0.055704
vigor	0.0557016
artistry	0.0555128
friendliness	0.0553995
punctuality	0.0553596
functionality	0.0551372
self-discipline	0.0549326
comprehension	0.0543525
coherence	0.0543222
sustainability	0.0541414
creativeness	0.0540254
fluency	0.053923
self-confidence	0.0534837
acceptability	0.0532815
customization	0.0529327
statesmanship	0.05291
complementarity	0.0528669
virtuosity	0.0528118
diversification	0.0526559
chutzpah	0.0525783
graciousness	0.0521294
potency	0.052116
particularity	0.0520077
musicality	0.051793
fearlessness	0.051653
craftsmanship	0.0515745
finesse	0.0512546
heroism	0.0509144
interdependence	0.0508478
pluralism	0.0506676
prowess	0.0505716
fragility	0.0505529
cleanliness	0.0504948
compassion	0.0504236
audacity	0.0503524
grit	0.0502484
receptivity	0.0501067
steadfastness	0.0499683
forbearance	0.0499581
practicality	0.049898
fealty	0.0497815
"sense of duty"	0.0495607
footwork	0.0494133
calmness	0.0491511
portability	0.0489827
entrepreneurship	0.0486763
breadth	0.0485239
intellect	0.048421
cohesion	0.0482911
fallibility	0.0482889
brinksmanship	0.0482784
consistency	0.048201
expansionism	0.0481497
"investment climate"	0.047897
foresight	0.0478763
accuracy	0.0471953
"military capability"	0.0471398
"standard of living"	0.0471201
accountability	0.047011
charisma	0.0469676
candor	0.0469012
quickness	0.0468809
fluidity	0.0467681
mettle	0.0465961
sincerity	0.0464866
fairness	0.046341
"sense of smell"	0.0463256
maturity	0.0461318
aptitude	0.0461281
self-control	0.0460151
camaraderie	0.0459951
commonality	0.0458196
timeliness	0.0457716
macro-control	0.0457614
inventiveness	0.0454945
compatibility	0.0454633
inclusiveness	0.045403
Cunning	0.045403
preparedness	0.0450174
relevance	0.0449284
temperament	0.0446792
ruthlessness	0.0446703
"sense of humor"	0.0445582
empathy	0.0445458
retention	0.0444551
prudence	0.0443257
sophistication	0.0442236
susceptibility	0.0442084
decentralization	0.0442027
freshness	0.0439182
firepower	0.0436505
diligence	0.0435533
knack	0.0433059
morale	0.0432998
"growth prospect"	0.0431294
vibrancy	0.0430294
honesty	0.0429561
"economic value"	0.0428236
excellence	0.0428222
usefulness	0.0427289
eclecticism	0.0427228
generosity	0.0425712
modesty	0.0425253
mastery	0.0425003
solidity	0.042285
propensity	0.0422218
unpredictability	0.042
erudition	0.0418787
uniqueness	0.0418686
clout	0.0417701
"teaching method"	0.0417481
"business relation"	0.0416595
frailty	0.0415165
"customer service"	0.0414995
risk-taking	0.0414709
monotony	0.0414584
affordability	0.0413651
irresponsibility	0.0413121
utilization	0.0410735
continuity	0.0410596
visibility	0.0408695
faithfulness	0.0406663
accoutrement	0.0406433
))
(adaptation (desc 44089.9) (sims
version	0.119864
remake	0.116217
film	0.106353
retelling	0.104052
movie	0.09553
revival	0.0947274
musical	0.0939276
drama	0.0937413
thriller	0.0917558
documentary	0.0900089
comedy	0.0899391
translation	0.0895536
novel	0.0888899
dramatization	0.0887542
epic	0.083448
reworking	0.0822818
Screenplay	0.0822359
sequel	0.0805909
production	0.0787798
miniseries	0.0784483
"feature film"	0.0783008
staging	0.0758018
biography	0.074499
premiere	0.0721864
script	0.0716389
"Saving Private Ryan"	0.0707585
tale	0.0695179
opera	0.0686627
satire	0.0683806
classic	0.0674885
masterpiece	0.0665437
interpretation	0.0646225
trilogy	0.064517
performance	0.0618946
mini-series	0.0614417
"love story"	0.061321
rendering	0.0612598
collection	0.0601919
melodrama	0.0598406
story	0.0592328
series	0.0591592
portrayal	0.0580112
"TV movie"	0.0580049
memoir	0.0577639
Anthology	0.0567727
parody	0.0567103
debut	0.0563487
fiction	0.05608
writing	0.0557821
Lolita	0.0556089
Shakespeare	0.0549437
"short story"	0.0549004
portrait	0.0547718
character	0.0547692
sitcom	0.0547108
fantasy	0.0542052
style	0.0540209
rendition	0.0537512
conceit	0.0537397
"American Beauty"	0.0533624
depiction	0.0531076
editing	0.0530661
narrative	0.052581
compilation	0.0521745
cinematography	0.0520984
spoof	0.052054
heroine	0.0518881
sendup	0.0517548
episode	0.0515991
"best seller"	0.0513696
"world premiere"	0.0513365
poem	0.0512518
reissue	0.051249
presentation	0.0509993
Song	0.0507614
creation	0.0506148
prequel	0.0506066
"television show"	0.0505929
western	0.0505365
success	0.0500735
Revue	0.0497834
poetry	0.0497172
extravaganza	0.0495282
scene	0.0493228
album	0.0492686
Recording	0.0490439
reading	0.0490382
farce	0.0489916
re-creation	0.0489469
genre	0.048932
blend	0.0488353
choreography	0.0488142
copy	0.0487398
author	0.0487391
beloved	0.0486609
evocation	0.0485387
"new edition"	0.0484466
ballet	0.0484403
edition	0.0483848
"Eyes Wide Shut"	0.0482199
"Fight Club"	0.0477388
Romance	0.0477355
Invention	0.0476067
soundtrack	0.0473715
cartoon	0.0473535
homage	0.0473371
adventure	0.0472219
cabaret	0.0471847
writer	0.0470085
blockbuster	0.0468518
video	0.0465872
music	0.0465689
fable	0.0464576
reproduction	0.0463964
flick	0.0460955
update	0.046018
Incarnation	0.0457453
"soap opera"	0.0457179
autobiography	0.045566
"TV show"	0.0455215
Pleasantville	0.0453598
sequence	0.0453085
mystery	0.0452373
setting	0.0447685
meditation	0.0446044
serial	0.0443089
Saga	0.044289
"Civil Action"	0.04422
vision	0.0441058
subtitle	0.0440968
publication	0.0440199
picture	0.0438446
excerpt	0.043579
piece	0.0431912
Rushmore	0.0430601
ensemble	0.0430573
sensibility	0.0430562
hero	0.0429443
art	0.0428782
actress	0.0426883
parable	0.0426724
tribute	0.0425994
collaboration	0.0425899
installment	0.0424509
essay	0.0422964
affliction	0.0422881
restoration	0.0422769
transformation	0.0422117
Titanic	0.0421875
"motion picture"	0.0420894
Antz	0.041991
spectacle	0.0419874
romp	0.0419372
prose	0.0419365
original	0.0419019
sense	0.0417509
introduction	0.0416469
composer	0.0416351
"ad campaign"	0.0416114
variation	0.0415503
tone	0.0415455
quality	0.0412301
Entertainment	0.0411208
commentary	0.0411008
Magnolia	0.0410655
novella	0.0409686
language	0.0409334
repertory	0.0407297
actor	0.0406203
costume	0.0405766
element	0.0405357
chapter	0.0404176
persona	0.0403866
aspect	0.0402848
"special effect"	0.0402302
drawing	0.0402042
personality	0.0401922
"variety show"	0.040128
tableau	0.0401083
))
(adapter (desc 7988.93) (sims
connector	0.150004
modem	0.130514
Ethernet	0.10936
"coaxial cable"	0.104554
scanner	0.103951
converter	0.103263
interface	0.0998461
printer	0.0939144
keyboard	0.0930782
accelerator	0.0929495
"disk drive"	0.0928057
FireWire	0.092215
antenna	0.0921783
peripheral	0.0912979
USB	0.0846978
circuitry	0.0839131
"hard disk"	0.083027
ADSL	0.0812911
floppy	0.0795004
amplifier	0.0793
motherboard	0.07876
DVD-ROM	0.0777219
subwoofer	0.0761884
CD-ROM	0.0751239
battery	0.0748932
DSL	0.0741435
"storage device"	0.0731153
cable	0.0725064
jacks	0.0713262
"optical fiber"	0.0712226
router	0.0707542
emulator	0.0695315
tuner	0.0693454
decoder	0.0692232
microprocessor	0.0690471
hardware	0.0688359
grabber	0.0686667
"telephone wire"	0.0683505
headphone	0.0664328
processor	0.0662794
transformer	0.0655766
accessory	0.0655039
motherboards	0.0653641
infrared	0.0653177
"memory chip"	0.0650447
"electronic device"	0.0648583
"phone line"	0.0644107
wiring	0.0637319
handset	0.0634817
joystick	0.0632647
headset	0.0631039
server	0.0619748
cartridge	0.0616342
diskette	0.0615518
Webcam	0.0615367
transmitter	0.0615246
mouse	0.0611325
gadget	0.0610428
"software package"	0.0608363
"utility program"	0.0601698
"transmission line"	0.059695
earphone	0.0596305
"word processor"	0.0593923
SCSI	0.0593506
"CD player"	0.0593383
alternator	0.0591828
"electric motor"	0.0590418
networking	0.0588822
"phone jack"	0.0588643
microphone	0.0585944
stylus	0.058282
"telephone line"	0.0579721
PC	0.0574312
Lt	0.0574271
"laptop computer"	0.0570213
kit	0.0568703
wireless	0.0566719
"circuit board"	0.0565533
"gasoline engine"	0.056553
"laser printer"	0.056172
Auger	0.0559472
winch	0.0556657
workstation	0.0556457
joysticks	0.0554883
"power cable"	0.0549276
defibrillator	0.0548842
washer	0.0547306
"desktop computer"	0.0546785
laptop	0.0535131
bandwidth	0.0531268
"Universal Serial Bus"	0.053122
charger	0.0530557
sensor	0.052908
ISP	0.0527908
"electric car"	0.0522569
"safety feature"	0.0521707
Projector	0.0516024
Midi	0.0514318
cord	0.0512244
"fax machine"	0.0509859
timer	0.050983
ISDN	0.0509442
connectivity	0.0508506
"phone system"	0.0506434
hookup	0.0504613
"stereo system"	0.0503312
socket	0.0502377
"audio system"	0.0498885
"spark plug"	0.0498765
"fuel cell"	0.0497398
"can opener"	0.0495767
Powerbook	0.0495721
generator	0.049547
"programming language"	0.0495219
sunroof	0.0494786
earpiece	0.049424
"solar power"	0.0492594
PCI	0.0490615
"personal computer"	0.0487129
hub	0.0486466
synthesizer	0.0486433
voltage	0.0486029
NIC	0.0485299
configuration	0.0481851
BIOS	0.048074
"surveillance system"	0.047993
co-writer	0.0477303
motor	0.0475901
browser	0.0473092
screwdriver	0.0472672
"compact disk"	0.0469998
toaster	0.0469196
VCR	0.0468565
"time clock"	0.0464941
"portable computer"	0.046422
"application program"	0.0464001
checker	0.0463614
"gas stove"	0.0463578
camcorder	0.0462166
password	0.0461651
manual	0.0460228
"floppy disk"	0.0456847
"operating system"	0.0456122
"instruction manual"	0.0454667
"Windows @@"	0.0453447
SDH	0.045203
gizmo	0.0450443
"solar cell"	0.0449792
module	0.0449626
"magnifying glass"	0.0446546
taskbar	0.0445825
cradle	0.0444629
co-payment	0.0444084
"cassette player"	0.04395
"communications network"	0.0438404
disk	0.0438377
flashlight	0.0438177
appliance	0.0437181
keypad	0.0436867
warranty	0.0436559
"artificial intelligence"	0.0436203
copier	0.043233
pager	0.0431298
"vacuum cleaner"	0.0429463
air-conditioner	0.0429251
"sliding door"	0.0428739
"software product"	0.0426637
changer	0.0425998
pulley	0.0425198
saver	0.0424967
electrode	0.042291
microcomputer	0.0422039
WebTV	0.0421807
"tv set"	0.0419471
transmission	0.0418894
PalmPilot	0.0418209
editing	0.0417998
receptacle	0.0417559
desktop	0.0417113
"extension cord"	0.0416022
spreadsheet	0.0415887
font	0.0415676
phonograph	0.0415454
"Windows Media Player"	0.0414887
Encryption	0.0414875
calculator	0.0414273
Rolex	0.0414052
"alarm system"	0.041339
tutorial	0.0412888
browsers	0.0411989
"manufacturing business"	0.0411939
microchip	0.0411285
"control panel"	0.0410966
transponder	0.0410885
"sound system"	0.0410849
"piece of furniture"	0.0409147
pylon	0.0406632
transistor	0.0406142
gyroscope	0.0405437
brake	0.0405198
))
(ADB (desc 13085.9) (sims
"Asian Development Bank"	0.260114
"World Bank"	0.243347
IDB	0.228081
UNDP	0.224873
IFC	0.204438
EBRD	0.197659
WFP	0.191151
IMF	0.18507
"African Development Bank"	0.158413
Eximbank	0.158064
"Overseas Economic Cooperation Fund"	0.156247
UNICEF	0.15497
UNIDO	0.153437
"United Nations Development Program"	0.150028
FAO	0.147711
"European Investment Bank"	0.146514
SDB	0.144501
"Inter-American Development Bank"	0.140473
"International Monetary Fund"	0.134802
UNFPA	0.134474
UNHCR	0.131793
BOI	0.130158
"Export-Import Bank"	0.130021
UNESCO	0.128347
TDC	0.12714
"State Development Bank"	0.125857
"United Nations Children's Fund"	0.125521
"European Commission"	0.125373
ICBC	0.125215
ILO	0.125093
UNCTAD	0.124833
ESCAP	0.124208
UNEP	0.124046
"U.N. Development Program"	0.122144
ECA	0.12129
CCB	0.119545
EC	0.119298
WIPO	0.118425
"International Development Association"	0.117292
"Interamerican Development Bank"	0.117233
IEA	0.116837
OECD	0.11631
WB	0.115743
USAID	0.113543
SSB	0.111697
ICRC	0.111341
BOC	0.110818
"central bank"	0.109309
CDB	0.109147
HKTA	0.108069
UN	0.107718
Interpol	0.107656
"Agency for International Development"	0.10709
"World Health Organization"	0.107073
"World Food Program"	0.105249
EU	0.105079
USOC	0.103879
WEF	0.10266
"Agriculture Ministry"	0.102401
"United Nations Drug Control Program"	0.102053
"financial organization"	0.102032
"U.N. agencies"	0.101622
IPU	0.101616
"International Labor Organization"	0.100465
OIC	0.100377
Ida	0.100357
"International Finance Corporation"	0.100276
"Philippine Central Bank"	0.100207
"financial institution"	0.0989161
OPIC	0.0982816
"Canadian International Development Agency"	0.0981563
"European Bank for Reconstruction"	0.0980311
HKMA	0.0978921
"international organization"	0.0976622
UNDCP	0.0973222
OAU	0.0968859
AARP	0.0962688
OSCE	0.0961422
"Paris Club"	0.0951295
"EU Commission"	0.0948182
TDB	0.0936852
OCA	0.0934072
IAEA	0.0932641
UNAIDS	0.0924647
"U.S. Export-Import Bank"	0.0921214
PATA	0.0920768
"Bank of Japan"	0.0919219
"Arab League"	0.0912623
ministry	0.0909355
Bi	0.0904376
ASEAN	0.0900059
PECC	0.0895981
"United Nations Industrial Development Organization"	0.0889146
U.N.	0.0888376
"United Nations"	0.0881963
CBI	0.0877842
"United Nations Population Fund"	0.0876751
"lending institution"	0.0872073
"European Union"	0.0863292
SADC	0.0862102
CMAG	0.0861105
FEMA	0.0859898
NGOs	0.0851856
agency	0.0849205
"Bank of Thailand"	0.0847333
"Health Ministry"	0.0844502
"Small Business Administration"	0.0840383
"chamber of commerce"	0.0838738
"UN agency"	0.083659
"U.S. government"	0.0834397
"planning commission"	0.083413
"European Community"	0.0832399
"U.S. Soccer Federation"	0.0827045
"municipal government"	0.0825769
WEU	0.0824502
UNRWA	0.0824149
PBOC	0.0821689
ECOWAS	0.0818249
APEC	0.0816529
"commercial bank"	0.081275
SAARC	0.0811865
E.U	0.0811716
"Islamic Development Bank"	0.0811493
association	0.0810545
USDA	0.0809525
WTO	0.080823
IOC	0.0807727
"monetary fund"	0.080746
UPU	0.0807196
CITIC	0.080461
CAS	0.0797735
COMESA	0.0797348
"non-governmental organizations"	0.0795743
donor	0.0795397
NEA	0.0788538
AmCham	0.0785826
"United Nations agency"	0.0785361
"Global Environment Facility"	0.0785215
"Russian Security Council"	0.078471
"Finance Ministry"	0.0784078
"United Nations Conference on Trade and Development"	0.0781972
"Ford Foundation"	0.077987
"United States government"	0.0779666
"local government"	0.0776723
Council	0.077352
"United Nations Educational, Scientific and Cultural Organization"	0.0773495
"Bank Indonesia"	0.0773011
CPAFFC	0.0770703
"Economic Commission for Africa"	0.0767537
"Council of Europe"	0.0764632
"National Science Foundation"	0.0762316
CNPC	0.0761722
"Board of Investment"	0.0758453
"Airport Authority"	0.0758093
"World Wildlife Fund"	0.0757904
OAS	0.0754007
"Chinese government"	0.0753603
"Red Cross"	0.0753512
Tat	0.0748663
"Bank of China"	0.0747077
"Federal Emergency Management Agency"	0.0746844
SBA	0.0745096
foundation	0.0743584
OPEC	0.0741347
CDC	0.0738078
"U.N. World Food Program"	0.0737935
eco	0.0737199
"International Olympic Committee"	0.0734779
FIFA	0.0732602
CASS	0.0731829
G-@@	0.0731008
IGAD	0.0728301
ARF	0.0727736
"Sierra Club"	0.072569
institute	0.0723742
ARATS	0.0720958
"Defense Ministry"	0.0719236
USTA	0.0714407
CMA	0.0712407
"trade union"	0.0706202
"Defense Agency"	0.07048
NSC	0.0704
ITF	0.0702577
"Commerce Ministry"	0.0702524
"Philippine Senate"	0.0702089
FIVB	0.0701916
"Association of Southeast Asian Nations"	0.0701888
GCC	0.0700761
ODA	0.0700511
"Israeli Cabinet"	0.0698341
consortium	0.0695596
CBK	0.0694146
"Rio Group"	0.0691693
NPC	0.0690844
ACWF	0.0690279
Zou	0.0690257
SDPC	0.068883
"member country"	0.0686557
"Energy Department"	0.0685033
"Bank Negara"	0.0684708
))
(ADC (desc 3044.04) (sims
nw/gm	0.153853
ad/adc	0.139546
sms/ji	0.138714
nw/ls	0.133792
cph	0.12618
ad/ji	0.119389
ad/gm	0.113428
ad/ls	0.110144
Ji	0.103435
vi/gm	0.0992141
sf	0.0918044
JAI	0.0898469
Sepracor	0.0890009
eb	0.0880425
TYCO	0.0876452
vi/ls	0.0850556
Aegon	0.0850206
Itar-Tass	0.0836259
GB	0.0827902
McKesson	0.0816068
djw	0.0767228
TC	0.0747565
parf-ip	0.0739609
aos	0.0734461
FD	0.0724791
JT	0.0721619
PLDT	0.0697914
"Central Election Commission"	0.0696543
TELLABS	0.0695994
AOC	0.0669763
UAL	0.0668509
XYLAN	0.0667826
PictureTel	0.0658129
WPP	0.0657863
L	0.065638
Interfax	0.0652891
AHP	0.0650859
SNCF	0.0649786
MJ	0.063949
SAS	0.0634925
CG	0.06207
cb-parf	0.0617433
hjf	0.0613187
Litton	0.061078
JC	0.0610161
Hasbro	0.060864
parf-dgs	0.0603094
AutoNation	0.0595405
BCE	0.0594143
"Stride Rite"	0.0592874
mj-kg	0.0592721
NatWest	0.0591168
Bechtel	0.059038
Medtronic	0.0585794
Gilead	0.0583851
Chiron	0.0578818
NORTHROP	0.0577495
Healtheon	0.0572286
"National Grid"	0.0571939
Norwest	0.0571889
sms/gm	0.0570186
Cendant	0.056966
"Turkish Daily News"	0.0567966
KLM	0.056708
ml	0.05617
"Thermo Electron"	0.05595
CMG	0.0555402
HBOC	0.0552007
Aeroflot	0.054496
scl	0.0544881
CMGI	0.0543879
Sunbeam	0.0542133
Gazprom	0.0540093
Tanjug	0.05343
SC	0.0534248
Ahold	0.0533367
Providian	0.0530517
HKTA	0.0527522
"The New Vision"	0.0525719
Starwood	0.0525559
"South African Press Association"	0.0522242
Zapata	0.0520939
TDC	0.0520156
Pairgain	0.0519991
Echostar	0.0518644
"Kyodo News"	0.0517798
EMC	0.0516849
"News Agency of Nigeria"	0.0515755
"First Union"	0.0514399
acw	0.0513587
MiniMed	0.051194
UAM	0.0510651
OCA	0.0510415
Nortel	0.0507637
GEC	0.0499976
NARAL	0.0498429
ENTERGY	0.0498032
Deutsche	0.0497782
Ciena	0.0496284
SGI	0.0494887
Genzyme	0.0493708
Monsanto	0.0492069
"Thai Airways"	0.0492058
SP	0.0491222
djp	0.0489685
VENATOR	0.0487937
JP	0.0487543
GPU	0.0486297
PNP	0.0484358
SAA	0.0481535
LIFFE	0.0480877
"New Light"	0.0479903
Tenneco	0.0479598
RJR	0.0479287
Belo	0.0479105
dm-jh	0.0479029
Cabletron	0.0478349
Conseco	0.0478267
"J&AMP;J"	0.0476784
BankAmerica	0.0475371
Copley	0.0474042
RPR	0.0473201
Raytheon	0.0472344
Ek	0.0472311
"Bank of Korea"	0.0472254
Eurostat	0.0472121
AMR	0.0472019
vls	0.0471824
AXA	0.0471685
MPAA	0.0469732
"Gulf Air"	0.046965
"South African Airways"	0.0469637
Seagate	0.0468464
dw	0.0468447
"Hearst Corp."	0.0468371
NTL	0.0467444
Delphi	0.0466341
Humana	0.0465501
Ti	0.0465308
Cisco	0.0463644
"Cox Communications"	0.0463548
ALZA	0.0463057
CSX	0.0462252
Kimbell	0.0462212
scw	0.0461589
NCI	0.0459527
AlliedSignal	0.0458814
ATC	0.04587
ae	0.0458489
Telkom	0.045758
TWA	0.0456328
ENTREMED	0.0455517
Compaq	0.0455505
Bristol-Myers	0.0454518
Chris-Craft	0.0454292
"Pacific Century"	0.045417
Pitney	0.0453885
Maytag	0.0453469
PLN	0.0452922
Ren	0.0451603
Massport	0.0449639
Daimler	0.0449467
E-LOAN	0.0448027
"P&AMP;G"	0.0446372
Glaxo	0.0446292
Corel	0.0446092
"RJR Nabisco"	0.0445813
SSB	0.0444889
Mattel	0.0444598
Lufthansa	0.0444481
BofA	0.0444428
Tandy	0.0443068
Yamaichi	0.0442441
Pharmacia	0.0439851
"Al Hayat"	0.0438946
UBS	0.0438904
"Israeli Foreign Ministry"	0.0438422
Aetna	0.0437578
"U.S. Defense Department"	0.0436634
"U.S. Soccer Federation"	0.0436568
Tass	0.0435741
"Russian Communist Party"	0.0435578
Petrofina	0.043431
"Defense Agency"	0.0432777
"Tribune Co."	0.0431447
Belarusian	0.0431252
"Air Canada"	0.0431203
"Russian Foreign Ministry"	0.0430904
Asda	0.0429275
Amgen	0.0429265
"Gulf News"	0.0428848
Clorox	0.0428621
Bestfoods	0.0428287
CDB	0.0428272
Symantec	0.0427993
Georgia-Pacific	0.0427574
HSBC	0.0427568
Occidental	0.0426385
"British Foreign Office"	0.0426299
BellSouth	0.0425586
))
(add (desc 1124.27) (sims
ADHD	0.141489
bifida	0.13201
"cerebral palsy"	0.131612
"genetic disease"	0.0936607
apnea	0.0901386
"cystic fibrosis"	0.0892023
"Parkinson's disease"	0.0828717
Parkinson's	0.0826128
epilepsy	0.0808152
"muscular dystrophy"	0.0804104
"heart condition"	0.0791941
autism	0.0776874
leukemia	0.0737839
ID.	0.0725067
psoriasis	0.0713863
"sweet tooth"	0.070809
hemophilia	0.0707239
"rheumatoid arthritis"	0.0706706
IQ	0.0693608
als	0.0672033
impairment	0.0646166
dyslexia	0.0638769
leprosy	0.0633035
lupus	0.0630124
dementia	0.0615862
osteoarthritis	0.0614893
Osteoporosis	0.0611745
"Type @"	0.0601901
"personality disorder"	0.0595558
arrhythmia	0.0590284
"back pain"	0.0581241
add-on	0.0581134
retardation	0.0569094
hypertension	0.0564514
"mental disorder"	0.0560559
"liver disease"	0.0559955
cataract	0.0533107
"skin cancer"	0.0525224
"hay fever"	0.0512335
schizophrenia	0.0508331
anemia	0.0507212
ATI	0.0502623
myeloma	0.0499753
Usenet	0.048511
"brain tumor"	0.0479152
brawn	0.0475563
"anxiety disorder"	0.0470384
ulcer	0.0467746
glaucoma	0.0463899
hepatitis	0.0461502
Lyme	0.0460059
Bedell	0.0450408
"moral hazard"	0.0445583
acne	0.0445246
herpes	0.0443975
"grade point average"	0.0437617
angina	0.0435529
"order form"	0.0433401
"Lyme disease"	0.04322
prostate	0.0429714
infertility	0.0429273
eb	0.0427149
"bipolar disorder"	0.042603
IC	0.0425261
MC	0.0423081
"eye disease"	0.0421636
Pearce	0.0420367
"hepatitis B"	0.0418962
heartburn	0.0418688
mastectomy	0.0418532
"debt load"	0.0418525
CF	0.0416744
"two heads"	0.0415095
eight-hour	0.0413349
"engine failure"	0.0412787
narcolepsy	0.0411742
))
(add-on (desc 966.154) (sims
SCSI	0.0948992
"Game Boy"	0.0944681
"caller ID"	0.0870684
IC	0.0855534
inpatient	0.084057
inkjet	0.0817156
hand-held	0.0805034
lifesaving	0.0788546
outpatient	0.0773123
tuner	0.0758911
vending	0.0743313
filtering	0.0706011
anime	0.0701818
eight-minute	0.0701651
ATI	0.0698619
"electric shock"	0.0697927
lockbox	0.0696729
profit-sharing	0.0691838
DVD-ROM	0.0690611
"data entry"	0.068393
"closed circuit"	0.067592
decoder	0.0672119
user-friendly	0.0666762
personalization	0.0666666
WebTV	0.0655002
TCM	0.063627
analog	0.0633687
off-day	0.0632664
mem	0.0621947
playback	0.0611215
"up to three"	0.0598044
intraday	0.0595805
lithium	0.0569392
dram	0.0562472
Botox	0.0561451
detoxification	0.0560946
customization	0.0558021
GPS	0.0552038
converter	0.0547537
"call waiting"	0.0547446
BLUETOOTH	0.0546507
"Windows CE"	0.0543625
Midi	0.0540639
"about @@@ times"	0.053363
pop-up	0.0528119
ReplayTV	0.0522187
oddball	0.0520673
Crayola	0.051807
GSP	0.0516149
"two billion"	0.0515328
"investment banking"	0.0509097
telomerase	0.0502497
self-help	0.0498018
Wheaties	0.0497496
"four key"	0.0495403
midrange	0.0494679
identifier	0.0493581
defibrillator	0.04915
ultrasound	0.0491388
on-and-off	0.0490835
"Western Pacific"	0.0486644
eight-point	0.0485935
PDA	0.0478412
"Weight Watchers"	0.0476179
cheerio	0.0475951
IOU	0.0474873
"rock bottom"	0.0472843
frontpage	0.0472136
CE	0.0470018
five-point	0.0468506
routing	0.046603
fallback	0.0461966
adjunct	0.0460587
PCI	0.0460395
heartening	0.046007
spiffy	0.0459989
AMEX	0.0459619
"Playstation @"	0.045841
"up to eight"	0.0457546
eight-week	0.0454971
acupuncture	0.0454921
FireWire	0.0454911
weaponization	0.0454654
Lucasfilm	0.0453247
communicator	0.0453183
weight-loss	0.0451821
"snack bar"	0.0449575
authentication	0.0449226
handheld	0.0449092
USB	0.0447959
ascot	0.0447619
aero	0.0447072
Chemo	0.0445857
eight-hour	0.0444965
locking	0.0442879
APTV	0.0441921
interoperability	0.0441566
fingerprinting	0.0440238
dialysis	0.0435472
"safe harbor"	0.0431297
"three cents"	0.0430615
fast-track	0.0430402
"audio CD"	0.0429052
Tropicana	0.0428987
"airplane ticket"	0.0428387
sweetener	0.0427419
leasing	0.0426048
"Oak Tree"	0.0425091
"skin care"	0.0424584
"cream puff"	0.0424429
interagency	0.0422493
seven-minute	0.0421751
"European Tour"	0.0418856
ISO	0.0417075
"eight cents"	0.0415992
onboard	0.041263
"Honus Wagner"	0.041173
antihistamine	0.0411566
angioplasty	0.0409728
"nine cents"	0.0409598
stent	0.0408482
videophone	0.0407067
"mail order"	0.0406495
indemnity	0.0403045
AZT	0.0401993
asp	0.0401499
STD	0.0401333
"slide rule"	0.0401019
))
(added-value (desc 1579.92) (sims
"tax income"	0.133876
"market penetration"	0.131137
homeownership	0.119677
GDP	0.112047
enrolment	0.109763
"pretax profit"	0.108737
"asset value"	0.1003
"retail sale"	0.100169
"net profit"	0.0972957
"tax revenue"	0.0930521
"housing sale"	0.0914426
"gross domestic product"	0.0902776
"non-performing loans"	0.0841681
"about @.@@ percent"	0.083737
"steel production"	0.0810103
"one tenth"	0.0809289
"personal income"	0.0805785
"insurance premium"	0.0800992
"bank deposit"	0.0796482
"fertility rate"	0.0793867
dollars-worth	0.0789639
ridership	0.0784213
"consumer credit"	0.0780822
throughput	0.0774846
NPLs	0.0770594
two-third	0.0767387
capitalization	0.0765672
non-oil	0.0762419
"about @@@ percent"	0.0757142
"More than one third"	0.0745909
"one third"	0.0742035
"elephant population"	0.0727316
"noise level"	0.0720474
"truck sale"	0.0699867
"national income"	0.0699063
Tonnage	0.0694395
GNP	0.0692089
"gross national product"	0.0687178
"about one percent"	0.0681119
"vehicle sale"	0.0680521
"dollar amount"	0.0679851
"production cost"	0.067351
"operating cost"	0.0669406
"more than @ million tons"	0.0666405
"gross income"	0.0661918
"earning per share"	0.0655601
"one sixth"	0.0654119
"about three percent"	0.0650144
"first seven months"	0.0644284
"Treasury bond"	0.064154
indemnity	0.0638644
"capital stock"	0.0633595
"interest income"	0.0633382
"marketing cost"	0.0630852
FDI	0.0629859
"customs duty"	0.0625202
"population density"	0.0622893
"selling price"	0.0621408
"more than one-fourth"	0.0618227
"operating expenses"	0.0616453
"value added tax"	0.061257
retooling	0.0609452
"rate of growth"	0.060882
"flow rate"	0.0607582
"land area"	0.0604131
"economies of scale"	0.0602414
capitalisation	0.0599741
"labor cost"	0.0599689
"more than one-fifth"	0.0597173
"first @@ months"	0.0596908
"drug sale"	0.0593063
"about @.@ percent"	0.0591777
"retail price index"	0.0587003
profitability	0.0586662
"More than one-third"	0.0584637
"net income"	0.0581013
"air pressure"	0.0580352
"export sale"	0.0578996
"poverty rate"	0.057829
"bus fare"	0.0576748
"market value"	0.0576008
"sticker price"	0.0575194
"body count"	0.057405
viewership	0.0573117
"producer price"	0.0570898
"dividend payment"	0.0567802
readership	0.0567079
"retail price"	0.0565324
"more than @.@ percent"	0.0565295
"borrowing cost"	0.0560456
caseloads	0.0558893
"more than @.@ billion yuan"	0.0556281
"voter turnout"	0.0553492
"import duty"	0.0553005
"occupancy rate"	0.0551165
profits	0.0540443
absenteeism	0.0538205
"turnover rate"	0.0536227
"one fifth"	0.0535559
"body temperature"	0.0534701
"nearly one third"	0.0531223
mileage	0.05299
merging	0.0528464
Four-fifths	0.0523795
"profit margin"	0.0521145
servicing	0.0520566
"economic value"	0.0520089
"take-home pay"	0.051957
birthrate	0.0516636
"About @@.@ percent"	0.0516455
octave	0.0516145
"money supply"	0.0513069
"club membership"	0.0510243
"farming area"	0.0509258
"foreign direct investment"	0.0508937
"joint-stock company"	0.0505821
remittance	0.0504169
indebtedness	0.0498692
"tax collection"	0.0498503
"factory order"	0.0497658
"annual payment"	0.0495031
"face value"	0.0493065
shareholding	0.049208
"price index"	0.04879
"seven percent"	0.048786
"cost structure"	0.048607
self-sufficiency	0.0484822
"operating budget"	0.0483243
"gasoline tax"	0.0483063
exportation	0.0482951
"cancer death"	0.0482507
"gas price"	0.0481443
"Export Processing Zones"	0.0479868
joblessness	0.0479485
"interest payment"	0.04775
"less than @.@ percent"	0.0477467
delinquency	0.0476212
complementarity	0.0474809
salinity	0.0473111
"working capital"	0.0472287
Orders	0.0472035
"three percent"	0.0471527
"more than @@ billion yuan"	0.0471354
"barrels per day"	0.0471169
"industrial enterprise"	0.0468992
"first eight months"	0.0468848
"Social Security benefit"	0.0468448
"guessing game"	0.0467888
pH	0.0466335
"cash bonus"	0.0465473
co-payments	0.0464282
"bond trading"	0.046341
"consumption tax"	0.0462158
"seating capacity"	0.0461643
"value-added tax"	0.0460876
"roughly two-thirds"	0.0459346
arrears	0.0459297
"about five percent"	0.0458715
year-on-year	0.0458548
"first eleven months"	0.04556
"electronics industry"	0.0455124
"past eight months"	0.0454646
"retirement age"	0.0453113
"Bovespa Index"	0.0453078
"animal husbandry"	0.0452654
rarest	0.0450193
"about one third"	0.0449647
RAMBUS	0.0447753
"one inch"	0.0447486
"vacancy rate"	0.0447128
"cost of living"	0.044641
octane	0.0446229
"about @@@,@@@ tons"	0.0446009
"e- commerce"	0.0445996
"about @@ million tons"	0.0443759
"Official Development Assistance"	0.0443236
evaporation	0.044253
wattage	0.0441961
one-fourth	0.0441748
IQ	0.0439366
"road construction"	0.0438831
subsector	0.0437339
"purchase price"	0.0437082
"tax bracket"	0.0436042
"heart rate"	0.0434204
"security clearance"	0.04341
"less than one percent"	0.0433903
perusal	0.0433517
brightness	0.0432027
"pay rate"	0.0430726
gusher	0.0430354
"Fifty percent"	0.0428075
"two billion yuan"	0.0427911
"medicare payment"	0.0427732
"more than @@@ billion yuan"	0.0427368
reserves	0.042687
transnationals	0.0424717
"capital investments"	0.0424602
losses	0.0422148
"consumer demand"	0.0420709
))
(addendum (desc 2631.74) (sims
annex	0.122798
preamble	0.100833
afterword	0.0951746
appendix	0.0915861
foreword	0.0899384
preface	0.0839389
epilogue	0.0790665
signatory	0.0723293
postscript	0.0677586
corrective	0.0588064
rebuttal	0.054665
counterclaim	0.0540704
"bankruptcy case"	0.0537714
rejoinder	0.0517137
"form letter"	0.0492204
"hot potato"	0.0488747
"Second Amendment"	0.048786
disclaimer	0.047975
caveat	0.0477865
encyclical	0.0477603
"official document"	0.047667
committment	0.0473892
"legal brief"	0.047254
"shock therapy"	0.0459565
obeisance	0.0459414
footnote	0.0455392
"Joint Statement"	0.0451272
memoranda	0.0437897
"choice of words"	0.043621
sidelight	0.0433886
"blank check"	0.0429259
earpiece	0.0426666
"progress report"	0.0421408
"slip of paper"	0.041051
acquiescence	0.0409442
mailing	0.0407151
"direct contrast"	0.040205
"proxy statement"	0.040163
credence	0.0401104
))
(addict (desc 24273.3) (sims
"drug addict"	0.217219
"drug user"	0.165394
abuser	0.144768
"heroin addict"	0.142826
alcoholic	0.116262
smoker	0.107825
gambler	0.107461
offender	0.104117
prostitute	0.103393
junkie	0.101015
drinker	0.0990482
criminal	0.0969455
patient	0.0958555
"AIDS patient"	0.0949937
user	0.0917947
sufferer	0.0905136
diabetic	0.0899105
"substance abuser"	0.0887738
junky	0.0850854
Addiction	0.0847743
homeless	0.0847568
orphan	0.0827101
trafficker	0.0799602
hemophiliac	0.0798855
adult	0.0796613
gamers	0.0787044
felon	0.0786874
"college student"	0.0783186
schizophrenic	0.0770209
youngster	0.0763866
"senior citizen"	0.0759174
"drug dealer"	0.0755794
inmate	0.0751659
smuggler	0.075115
teens	0.0747125
immigrant	0.0743622
teen-ager	0.0735412
dropout	0.073375
shopper	0.0733246
enthusiast	0.0729583
schoolchildren	0.0728012
adolescent	0.0726328
pimp	0.0717883
farmer	0.0713721
juvenile	0.0712466
Pusher	0.0707245
prisoner	0.0703312
consumer	0.0701999
dealer	0.0693343
fanatic	0.0688057
illiterate	0.0687275
victim	0.06865
migrant	0.068536
African-American	0.0682653
leper	0.0681709
teenager	0.0679542
alien	0.0672593
retiree	0.0668516
devotee	0.066616
pupil	0.0662314
homosexual	0.0660579
newborns	0.0656459
surfer	0.065606
Iraqi	0.0655725
professional	0.0655663
Reader	0.0654914
"business traveler"	0.0654786
subscriber	0.0654179
worker	0.0654122
"foster child"	0.065361
traveler	0.0653099
murderer	0.0652758
laborer	0.0652399
"sports fan"	0.0650888
thug	0.0649562
entrepreneur	0.0648751
Beijingers	0.0647685
centenarian	0.0647413
collector	0.0644884
infant	0.0644858
aficionados	0.0643849
seeker	0.0642536
Hispanic	0.0641225
homeowner	0.0638852
customer	0.0638702
citizen	0.0637275
thief	0.0636538
pickpocket	0.0636126
dweller	0.0634887
physician	0.06342
kid	0.0633825
resident	0.0628294
enlistee	0.062769
panhandler	0.0626931
learner	0.0626561
individual	0.0625261
refugee	0.0624633
Filipino	0.0617243
buyer	0.0616998
Latino	0.0616222
Cuban	0.0616047
grower	0.061494
Mexican	0.0613275
Tibetans	0.0609644
Haitian	0.0606241
"married couple"	0.0606108
elderly	0.0605522
employee	0.060455
viewer	0.0604488
youth	0.0602311
lover	0.0601332
volunteer	0.0600161
"Iraqi POWs"	0.0599619
"people of color"	0.0598082
preschoolers	0.0597391
deserter	0.0596355
"music lover"	0.05963
participant	0.0595653
detainee	0.0595424
moviegoer	0.0595152
foreigner	0.0593304
buff	0.0593092
minority	0.0592872
doctor	0.059237
terrorist	0.0590554
person	0.0589989
listener	0.0589899
trader	0.0589631
disabled	0.0589232
athlete	0.0588293
applicant	0.0588127
drunk	0.0583795
client	0.0582893
hobbyist	0.0582134
believer	0.0579698
Vietnamese	0.0579686
"union member"	0.0577536
Singaporean	0.0577401
"home buyer"	0.0577262
baby	0.0576831
parent	0.0573726
recipient	0.0573307
"drug trafficker"	0.0571845
household	0.0571192
Southerner	0.0570742
Programmer	0.0570494
practitioner	0.056976
"juvenile delinquent"	0.0564341
aged	0.0563312
survivor	0.0562975
needy	0.0562243
policyholder	0.0561512
peasant	0.0561415
"baby boomer"	0.0559444
affluent	0.0559429
"farm worker"	0.0557085
tourist	0.0555858
taker	0.0555431
pensioner	0.0554327
Canadian	0.0553717
Catholic	0.055369
job-seekers	0.0553517
musician	0.0553462
Muscovite	0.0553307
"New Yorker"	0.0552579
male	0.0552146
"job seeker"	0.0551714
scientist	0.0551698
girl	0.0551571
delinquent	0.0550731
commuter	0.0550635
senior	0.0549167
motorist	0.0548867
investor	0.054883
Jew	0.0548819
purchaser	0.0548643
hacker	0.0548161
teacher	0.0546143
"political prisoner"	0.0545336
"blood donor"	0.0545208
veteran	0.0544724
liar	0.0544607
journalist	0.0544522
"small farmer"	0.0544336
landowner	0.0543881
patron	0.0541307
follower	0.0541206
Cambodian	0.0541203
geek	0.0539781
merchant	0.0539514
uninsured	0.0539175
"young man"	0.0539087
Fishermen	0.053893
"military personnel"	0.0538372
Cop	0.0537556
skier	0.0534461
"mentally retarded"	0.0533953
taxpayer	0.0533937
"black woman"	0.0531672
"church member"	0.0530308
))
(Addiction (desc 28406.8) (sims
Alcoholism	0.203681
"drug addiction"	0.187198
"substance abuse"	0.158823
"mental illness"	0.150249
"alcohol abuse"	0.142023
"drug abuse"	0.133296
schizophrenia	0.131985
disorder	0.130675
infertility	0.127477
Depression	0.126002
Obesity	0.124243
diabetes	0.11945
illness	0.119386
asthma	0.11209
Osteoporosis	0.111934
disability	0.110281
epilepsy	0.109807
disease	0.108506
"heart disease"	0.106356
autism	0.104884
trauma	0.104555
dementia	0.103958
cancer	0.102601
"mental disorder"	0.100557
allergy	0.0995036
"colon cancer"	0.0994315
ailment	0.0991373
"cardiovascular disease"	0.0987483
syndrome	0.09841
leukemia	0.0979413
"drug use"	0.0975396
pregnancy	0.0958549
homelessness	0.0958231
"drug problem"	0.0954509
"high blood pressure"	0.0953196
arthritis	0.0941588
Parkinson's	0.0940904
poverty	0.0935017
dysfunction	0.0930768
malnutrition	0.0927588
"Parkinson's disease"	0.0926892
"child abuse"	0.0926027
hypertension	0.0914688
dependency	0.0911957
infection	0.0900618
abuse	0.0898214
"manic depression"	0.0891452
"skin cancer"	0.0886707
"cystic fibrosis"	0.088394
anemia	0.0883279
suicide	0.0882754
epidemic	0.0878501
hunger	0.0874794
HIV	0.0869508
ulcer	0.0864228
violence	0.0855502
"Lyme disease"	0.0849998
addict	0.0847743
Alzheimer	0.0846805
smoking	0.0845215
"multiple sclerosis"	0.0842497
stress	0.0834801
hemophilia	0.0828443
insomnia	0.0828087
"health problem"	0.0827324
pneumonia	0.0824407
"rheumatoid arthritis"	0.0823565
habit	0.0821888
behavior	0.0817945
glaucoma	0.0811081
crime	0.0808578
blindness	0.0807724
Psychosis	0.0804607
retardation	0.0803101
"lung cancer"	0.0799157
impairment	0.0797279
malaria	0.0793729
sickness	0.0791324
hepatitis	0.0790671
drug	0.0789946
ADHD	0.0788103
tuberculosis	0.0782967
HIV/AIDS	0.077933
defect	0.0779123
"mental health"	0.0777497
prostitution	0.0770957
impotence	0.0766616
"anxiety disorder"	0.0763155
"heart attack"	0.0762277
lupus	0.0757747
instability	0.0757423
lymphoma	0.0756333
"juvenile delinquency"	0.0755097
anxiety	0.07526
pain	0.0751492
exposure	0.0749892
"heroin addiction"	0.0747435
"personality disorder"	0.0744492
"sexually transmitted disease"	0.0743475
"infectious disease"	0.0741306
"back pain"	0.0741136
mortality	0.0738062
dehydration	0.0736523
als	0.073563
migraine	0.0733735
drinking	0.0733354
dependence	0.073158
infidelity	0.0725835
leprosy	0.0725641
fatigue	0.0723042
"heart condition"	0.0717781
gambling	0.0717367
divorce	0.0710838
symptom	0.0709652
degradation	0.0708908
deficiency	0.0706971
osteoarthritis	0.070633
narcolepsy	0.0704893
"eye disease"	0.0704058
obsession	0.070314
sexuality	0.0700798
"air pollution"	0.0698961
aversion	0.0698235
trafficking	0.0697759
racism	0.0696902
"memory loss"	0.0696897
alcohol	0.06955
ill	0.0691206
melanoma	0.0690428
Tb	0.068863
unemployment	0.0687215
hardship	0.0684584
headache	0.068185
"food poisoning"	0.0680176
insecurity	0.0679948
aid	0.0679245
"kidney disease"	0.0678455
overdose	0.0677413
deprivation	0.0676956
corruption	0.067244
paralysis	0.067173
relapse	0.0669942
injury	0.0665875
seizure	0.066546
syphilis	0.0664874
virus	0.0659682
"liver disease"	0.0656654
delinquency	0.0655743
fever	0.0654367
piracy	0.0653631
incontinence	0.0653334
disaster	0.0651805
adultery	0.0651171
compulsion	0.0651122
"muscular dystrophy"	0.065045
"organized crime"	0.0650173
homosexuality	0.0650084
starvation	0.0649115
promiscuity	0.0643533
"brain tumor"	0.0643013
cataract	0.064166
aids	0.0639907
anorexia	0.0637315
famine	0.0636155
"side effect"	0.0635871
phenomenon	0.0634854
complication	0.0634838
harm	0.0634029
sex	0.0632018
terrorism	0.0624437
ignorance	0.0621782
suffering	0.0621701
"genetic disease"	0.0620777
diarrhea	0.0620009
loneliness	0.0617662
smuggling	0.0616382
Truancy	0.0615133
Exhaustion	0.061329
neglect	0.0613006
polio	0.061126
"venereal disease"	0.0609452
desertification	0.0609139
prejudice	0.0608825
Meningitis	0.0608424
Proliferation	0.0607022
pollution	0.0606709
fertility	0.0605735
isolation	0.0604722
failure	0.0603581
"cerebral palsy"	0.0603451
stroke	0.0603149
theft	0.0598887
illiteracy	0.0598056
flu	0.0597471
strife	0.059551
erosion	0.0592064
tendency	0.0591007
weakness	0.0590153
migration	0.0589616
"heart failure"	0.0589365
))
("Addis Ababa" (desc 25894.7) (sims
HARARE	0.26536
KAMPALA	0.250043
Lusaka	0.246772
Nairobi	0.243478
Luanda	0.241328
"Dar es Salaam"	0.233742
JOHANNESBURG	0.222802
CAIRO	0.215396
DHAKA	0.213327
HANOI	0.211331
MAPUTO	0.210402
Algiers	0.20568
Geneva	0.204892
Islamabad	0.202563
Lagos	0.202002
Amman	0.197252
SANAA	0.196832
Kigali	0.196443
Khartoum	0.196054
Asmara	0.195323
COLOMBO	0.19438
Beirut	0.188516
BUCHAREST	0.186755
Bangkok	0.185516
SEOUL	0.18297
Manila	0.181747
Jakarta	0.181259
TUNIS	0.180944
Kathmandu	0.180148
"New Delhi"	0.180072
"KUWAIT CITY"	0.178649
BOGOTA	0.178398
Tehran	0.176736
BRUSSELS	0.17665
SOFIA	0.175541
"Phnom Penh"	0.174071
Riyadh	0.17349
"Kuala Lumpur"	0.171871
TIRANA	0.171131
Yaounde	0.170053
YANGON	0.169411
ANKARA	0.168885
KIEV	0.168091
Tripoli	0.16799
Pretoria	0.166918
ZAGREB	0.164598
Damascus	0.163769
Vienna	0.162269
BEIJING	0.162221
"Ulan Bator"	0.159948
Lome	0.15909
NICOSIA	0.159063
CARACAS	0.158297
BUDAPEST	0.156898
"Buenos Aires"	0.156217
Dushanbe	0.15555
Bujumbura	0.155447
"Abu Dhabi"	0.154655
Gaborone	0.152728
Managua	0.152545
Kunming	0.152171
"Guatemala City"	0.152018
Sarajevo	0.150572
Windhoek	0.150539
ATHENS	0.149971
Accra	0.149813
Helsinki	0.148857
WARSAW	0.148735
Abuja	0.148369
Havana	0.148207
CHENGDU	0.146281
Moscow	0.145919
LISBON	0.14581
Rabat	0.145725
"Tel Aviv"	0.14562
Bonn	0.144834
BRASILIA	0.144803
Kabul	0.144719
Mogadishu	0.143542
Prague	0.143281
Baghdad	0.142861
PYONGYANG	0.142128
BELGRADE	0.141755
Santiago	0.141224
Lhasa	0.140657
Belfast	0.140103
Urumqi	0.139837
"Mexico City"	0.139643
TEGUCIGALPA	0.139278
Ouagadougou	0.139111
Abidjan	0.138795
Istanbul	0.138764
Paris	0.137952
Rome	0.137503
Quito	0.136942
Monrovia	0.136734
Vientiane	0.135381
Skopje	0.135195
Arusha	0.134926
Madrid	0.134127
Durban	0.133371
Lima	0.133332
Srinagar	0.133174
Tbilisi	0.133131
Doha	0.132146
Freetown	0.131522
Mbabane	0.131051
LONDON	0.13089
Tokyo	0.130176
Baku	0.130108
Kinshasa	0.129317
Vilnius	0.129172
"Cape Town"	0.129155
Tashkent	0.129116
STOCKHOLM	0.128547
Shanghai	0.12818
Gaza	0.127915
Pristina	0.127048
Minsk	0.126828
Hangzhou	0.126231
"Rio de Janeiro"	0.125109
Yinchuan	0.124841
Lahore	0.124549
Oslo	0.121524
"Panama City"	0.121186
Wellington	0.120589
"San Salvador"	0.119851
Berlin	0.119824
Dakar	0.119523
Maseru	0.119401
Nanning	0.118943
"La Paz"	0.118807
Guangzhou	0.11822
NANJING	0.116792
Dublin	0.115907
JERUSALEM	0.11543
Dili	0.115314
MANAMA	0.114684
"SANTAFE DE BOGOTA"	0.112766
Chisinau	0.110717
Asuncion	0.110301
Alexandria	0.110228
Peshawar	0.110165
Amsterdam	0.109934
Cartagena	0.109918
Canberra	0.109856
Yerevan	0.109643
Alma-Ata	0.109607
Jeddah	0.10953
Changsha	0.109416
Shenyang	0.109064
Fuzhou	0.108908
Kandahar	0.108732
Haikou	0.10868
"Egyptian capital"	0.108315
Lausanne	0.107835
Bishkek	0.107513
Wuhan	0.106713
Bissau	0.106255
Auckland	0.106122
Port-au-Prince	0.105963
Frankfurt	0.105748
Copenhagen	0.105226
Ottawa	0.105107
Lanzhou	0.105006
Ljubljana	0.104972
Taiyuan	0.104754
Mombasa	0.104569
Bulawayo	0.104511
Katmandu	0.104378
MONTEVIDEO	0.104123
"Santo Domingo"	0.103854
Shijiazhuang	0.103114
Tianjin	0.102212
Brazzaville	0.102191
CHANGCHUN	0.101935
XI'AN	0.101591
Entebbe	0.101341
"San Jose"	0.101166
Singapore	0.100984
"ALMA ATA"	0.100675
Ramallah	0.100101
Zhengzhou	0.0992533
MELBOURNE	0.0990708
Muscat	0.0988251
Guiyang	0.0987692
DUBAI	0.0987191
Ethiopia	0.0986878
"The Hague"	0.0981328
Jayapura	0.0977643
Hefei	0.0968513
Taipei	0.0966616
"Sao Paulo"	0.0954849
Harbin	0.0954754
"Hong Kong"	0.0951813
Xining	0.0948099
Dalian	0.0945648
capital	0.0941007
BLANTYRE	0.0939562
Osaka	0.0935329
))
(Addison (desc 1197) (sims
Naumann	0.11793
Naperville	0.117587
Katy	0.107581
Plano	0.103214
"Highland Park"	0.102141
Moma	0.0995273
Kupchak	0.0958889
Cicero	0.0892929
Goff	0.0880861
Carrollton	0.0860542
Kimbell	0.0849123
Evanston	0.0811366
Riverdale	0.0768465
Saginaw	0.0761363
MFA	0.0759196
Denton	0.0750099
Saatchi	0.0737633
DeKalb	0.0734891
Gaston	0.0730958
Reseda	0.071878
Deerfield	0.0702271
"San Angelo"	0.0682381
Lawrenceville	0.0681817
Fleming	0.0671006
Corcoran	0.0670496
Killeen	0.0669106
Quincy	0.0631583
"Lake Worth"	0.063016
"SIERRA BLANCA"	0.0626649
Woburn	0.0624535
Latham	0.0620028
Freeport	0.0614248
"Paradise Valley"	0.0611285
Needham	0.0610924
SEABROOK	0.0595734
"Grand Prairie"	0.0590699
Chatham	0.0587854
Keller	0.0587418
Wyly	0.0583829
Menendez	0.0577451
Hines	0.0576897
"Eagle Pass"	0.0573325
"New Braunfels"	0.0572242
Clare	0.0571144
DMA	0.0568083
Houghton	0.0561714
Wheaton	0.0561569
"East Orange"	0.0558667
Barrington	0.055814
Harlingen	0.0556079
Skakel	0.055451
Frick	0.0553708
Phyllis	0.0549272
Shipman	0.0546876
Eames	0.0539942
DeVito	0.0538742
Cortines	0.0537652
Robison	0.0534947
Pecos	0.0531909
"Cook County"	0.0528511
Medinah	0.0523249
Forsyth	0.0522334
Hialeah	0.0521242
McKinney	0.0520414
Paulina	0.0519254
Hendrix	0.0518353
"Santa Clarita"	0.0517969
Encino	0.0517809
Getty	0.0515369
Fleischer	0.0514471
Seymour	0.0514444
Nacogdoches	0.0514074
"Madison County"	0.0512635
Weimar	0.0507905
Rockport	0.0507663
"Round Rock"	0.0505642
"Left Bank"	0.0504019
"Food Lion"	0.0503191
Elgin	0.0501809
"Irish Catholic"	0.0500794
Mehta	0.0499631
Herndon	0.0495066
Hurst	0.0494788
Texarkana	0.0494759
Laudrup	0.0494141
Kinkade	0.0494065
Fredericksburg	0.0493336
Dearborn	0.0490503
pressman	0.0488986
southland	0.0488926
Goodman	0.048501
Gachet	0.0484078
"Port Arthur"	0.0483575
Lufkin	0.048353
Mansfield	0.0481617
Hendricks	0.048154
Beaumont	0.0481493
Arizmendi	0.0478411
Rosenberg	0.0475826
"Klaus Naumann"	0.0472261
Wyeth	0.0472201
Bonanno	0.0471725
Sutter	0.0470438
Danville	0.0469574
Tate	0.0466525
Lansing	0.0463903
Cynthia	0.0463487
"Asia Society"	0.0460826
Berenson	0.0460741
"San Marcos"	0.0460123
Calabasas	0.0459509
"Del Rio"	0.0459022
Alpharetta	0.0457628
Webster	0.045489
Bellamy	0.0451102
"Elgin Baylor"	0.0449992
Peoria	0.0447646
Bloomington	0.0445415
Wayans	0.0442732
Bacall	0.0441693
Opry	0.0440304
Loeb	0.0440247
Vermeer	0.0435373
"Jackson County"	0.0434214
Ringling	0.0434082
Garfield	0.0428845
"Sandy Springs"	0.0428511
Townsend	0.0426521
"Woodland Hills"	0.0423711
LAKEWOOD	0.0423305
Dahmer	0.0422301
Tarzana	0.0421988
"Fairfax County"	0.0421822
Biggs	0.0420606
Milstein	0.0419138
O'Hair	0.0418867
LaGrange	0.0418655
Woolworth	0.0416
Kimball	0.0415318
Abernathy	0.0413794
"Jenny Jones"	0.0412455
"Pitt County"	0.0410416
POLK	0.0405453
Irvington	0.0405211
Pleasanton	0.0404787
Leawood	0.0403829
"American Century"	0.040352
"Pottery Barn"	0.0403136
"Mount Pleasant"	0.0400719
))
(addition (desc 125460) (sims
response	0.107311
access	0.102853
contrast	0.099539
regard	0.0966522
attention	0.0854691
reference	0.085403
alternative	0.0825073
reaction	0.0813605
contribution	0.0810567
return	0.0788943
introduction	0.0781063
acquisition	0.0781051
approach	0.0759497
adjustment	0.0725477
change	0.0711707
part	0.0699863
objection	0.0692893
order	0.0689608
commitment	0.0683422
prelude	0.0669217
improvement	0.0667904
particular	0.0650587
obstacle	0.064931
effort	0.0638143
key	0.0635599
upgrade	0.0634819
resemblance	0.0623834
expansion	0.0620286
thanks	0.0620243
way	0.0619569
bid	0.0619481
tribute	0.0615392
connection	0.0610155
modification	0.0607565
revision	0.0607434
respect	0.0606139
amount	0.0597092
due	0.0593996
guide	0.0591907
link	0.058867
exception	0.058776
equal	0.0583095
impediment	0.0582183
alteration	0.0581817
contributor	0.0581021
purchase	0.0580643
letter	0.0579393
measure	0.0577261
comparison	0.0574425
form	0.0570929
opposition	0.0566124
exposure	0.0564631
assistance	0.0563718
deference	0.0558336
proportion	0.0556641
damage	0.0555174
loss	0.055515
support	0.0554641
accordance	0.0551745
package	0.0547923
presence	0.0547422
renovation	0.0547362
absence	0.0546722
combination	0.0546551
sale	0.0545179
visit	0.0543466
shift	0.0540083
reduction	0.0539254
switch	0.0538892
fact	0.0538885
future	0.0536388
program	0.0536137
development	0.0534214
challenge	0.0532569
service	0.0531113
boost	0.0529597
plan	0.0527514
case	0.0526851
resistance	0.0526276
system	0.052359
footnote	0.0519656
number	0.0519599
opportunity	0.0519502
home	0.0514831
departure	0.0513799
feature	0.0513628
payment	0.0511861
space	0.0511269
extension	0.051067
advance	0.0510313
investment	0.0509867
attempt	0.0509496
homage	0.0509192
building	0.0508488
follow-up	0.0505051
line	0.0504376
incentive	0.0504206
aid	0.0503211
signing	0.050312
budget	0.0502691
counterpoint	0.0502024
amendment	0.0500967
exchange	0.0500746
project	0.0500308
right	0.0500083
cost	0.0499844
trip	0.0499211
testament	0.0498995
gift	0.0498618
fund	0.0498416
area	0.0497938
subsidy	0.0496597
bonus	0.0495331
aspect	0.0493907
deal	0.04939
piece	0.049216
construction	0.0491741
equivalent	0.0490999
success	0.0489134
proximity	0.0488475
selection	0.0486949
step	0.0486762
repair	0.048621
technology	0.0486034
benefit	0.0485621
blow	0.0485503
operation	0.0485382
drawback	0.048493
collection	0.0483875
"tax cut"	0.0483442
supplement	0.0483134
door	0.0482929
example	0.0482104
component	0.0481932
importance	0.0480427
hope	0.0480255
context	0.0480117
entry	0.0479837
allocation	0.0479551
enhancement	0.0476295
admission	0.0475463
design	0.0475359
supply	0.0474417
Promotion	0.0473967
ability	0.0473138
kind	0.0472767
contrary	0.0472278
money	0.0471505
size	0.0470308
result	0.0469642
no	0.0468995
solution	0.0468868
dimension	0.0468408
performance	0.0467583
resource	0.0467154
bill	0.0467067
manner	0.0466736
devotion	0.0466278
production	0.0466131
twist	0.0465172
threat	0.0465124
facility	0.0463757
effect	0.0463533
concession	0.0463528
book	0.0463203
inclusion	0.0463153
event	0.0463138
product	0.0463067
appointment	0.0462942
equipment	0.046192
creation	0.0461805
variety	0.0460068
growth	0.0459467
revenue	0.0459332
capacity	0.0459121
disruption	0.0458776
sensitivity	0.045874
transition	0.0458697
arrival	0.0458282
fee	0.0457796
barrier	0.0457645
loan	0.0457367
room	0.0457127
China	0.0457
instance	0.0456994
decision	0.0456936
style	0.0456565
structure	0.0455604
transfer	0.0454886
priority	0.0452713
answer	0.0452292
initiative	0.0452254
interest	0.0451799
entrance	0.0450065
relation	0.0450064
term	0.0449861
passage	0.0449815
dedication	0.0448843
factor	0.0448838
process	0.0448114
))
(additional (desc 3318) (sims
"another five years"	0.116013
"another six months"	0.102368
"another two years"	0.0928588
"more than @ million tons"	0.0913669
"another two weeks"	0.0869335
"more than @@@,@@@ hectares"	0.0862014
"another three years"	0.083729
"another @@ years"	0.0813018
"about @@@ acres"	0.0806533
"up to three months"	0.0802244
"about @@@ tons"	0.0777243
"about @@ million tons"	0.0766222
"two million tons"	0.0756289
"more than @,@@@ acres"	0.0739686
"another @@ days"	0.0728404
"three million tons"	0.0716237
"over @,@@@ tons"	0.0686658
"about @@,@@@ tons"	0.0658344
"more than @@,@@@ tons"	0.0656315
"about @,@@@ acres"	0.0652936
"another @.@ percent"	0.0649988
"about @@,@@@ acres"	0.064846
"more than @@@,@@@ tons"	0.0643306
"about @,@@@ tons"	0.0638756
"more than @,@@@ hectares"	0.0634214
"up to six months"	0.0630513
"Mobil Corp."	0.0614629
"more than @,@@@ tons"	0.0613312
"six million tons"	0.0608741
"more than @@ million tons"	0.0604434
"three tons"	0.0603856
"four tons"	0.0598022
"more than @@@ tons"	0.0597617
"equity stake"	0.0597204
"one million tons"	0.0584381
"up to @@ days"	0.0579856
"about @@@,@@@ acres"	0.0579042
"over @@@,@@@ tons"	0.0576952
"over @@ million tons"	0.057568
bushel	0.0574782
"about @@ tons"	0.0572484
"over @@,@@@ tons"	0.0566583
fillip	0.0563819
"About @@ per cent"	0.0558921
S-@@@	0.0558035
"about @@@,@@@ tons"	0.0550618
"summer house"	0.055032
"more than @,@@@ pounds"	0.0545974
captaincy	0.054429
"more than one year"	0.0541685
"more than @ billion dollars"	0.0537858
"over @,@@@ hectares"	0.0537206
"more than @@ inches"	0.0536393
"parcel of land"	0.0534548
"more than @@@ hectares"	0.053344
"more than @@@ million tons"	0.0533281
"another four years"	0.05315
"breathing space"	0.0531432
"Up to @ inches"	0.0528699
"up to @@ inches"	0.0524037
"three million yuan"	0.0521664
"over @@@ tons"	0.0521492
"four million tons"	0.0511503
feddans	0.0507435
"more than @@@,@@@ acres"	0.0505699
"over @@ million yuan"	0.0500124
"five million tons"	0.0480398
"about @.@ million tons"	0.0479774
"about @ tablespoons"	0.0478896
"more than @@@,@@@ yuan"	0.0476177
"Over @@@ Million Dollars"	0.0475606
"over @@@ billion yuan"	0.0473794
Petrofina	0.0473585
"more than @@,@@@ acres"	0.0470264
"billion yuan"	0.0462784
inkling	0.0459097
"Rolls-Royce Motor Cars"	0.0457744
Tables	0.0451548
"three pitchers"	0.0451274
"up to five years"	0.0449924
"About @@,@@@ hectares"	0.0448899
"one third"	0.044836
easement	0.0444685
"Atlantic Richfield Co."	0.0444454
"Bankers Trust Corp."	0.04421
"positive feedback"	0.0442046
longer	0.0439818
"airplane ticket"	0.0439117
"About @ billion"	0.0437568
"stay of execution"	0.0434615
ID.	0.0434573
"about three-quarters"	0.0434409
"component part"	0.04336
"five tons"	0.0431901
"piece of land"	0.0428572
Fingerhut	0.0428283
"two million yuan"	0.0428159
"ownership stake"	0.0427109
"minority stake"	0.0425767
"over $@ billion"	0.0425372
"a few pounds"	0.0420619
consignment	0.041952
"toxic waste"	0.041855
"million tons"	0.0418055
"power of attorney"	0.0416461
"controlling interest"	0.0416231
"MediaOne Group"	0.0415934
"spare part"	0.0415657
"two units"	0.0414732
"one cent"	0.0413766
"nearly $@"	0.0411462
Orangina	0.0410641
ballast	0.0410349
"over @.@ billion yuan"	0.0406194
trillion	0.040597
"nine cents"	0.0405661
"birthday card"	0.040549
"another @@ million dollars"	0.0405372
"office space"	0.0402973
"over @@@ million yuan"	0.0402947
"more than @@ billion dollars"	0.0402413
))
(additive (desc 13721.2) (sims
MTBE	0.134029
pesticide	0.126664
preservative	0.116122
chemical	0.114988
fertilizer	0.110702
CFCs	0.110185
ingredient	0.106406
ethanol	0.105054
sweetener	0.0989519
"food additive"	0.0977412
supplement	0.0955186
antibiotic	0.0943316
insecticide	0.0929146
solvent	0.0928165
substance	0.0903662
"chemical compound"	0.0898241
fuel	0.0885411
pigment	0.0870118
stimulant	0.0843645
asbestos	0.0824663
vitamin	0.0823596
herbicide	0.082346
fiber	0.0823197
"raw material"	0.0819384
"growth hormone"	0.0813497
pharmaceutical	0.0796581
carcinogen	0.0777432
toxin	0.0774214
"dairy product"	0.0770983
"building material"	0.0770172
starch	0.076931
nicotine	0.0766574
mineral	0.0746197
lubricant	0.0741333
DDT	0.0737902
acid	0.0729661
chloride	0.0727113
nutrient	0.0717855
enzyme	0.071472
medicine	0.0712184
"liquefied petroleum gas"	0.0711543
"citric acid"	0.0710461
impurity	0.0710031
alcohol	0.0708941
enhancers	0.0706745
caffeine	0.0705668
hormone	0.0703901
antihistamine	0.0700793
detergent	0.069883
by-product	0.0695785
machinery	0.0694902
protein	0.0694482
adhesive	0.0693861
derivative	0.0691879
plastic	0.0681237
contaminant	0.0677917
"programming language"	0.0677421
filter	0.0674568
fungicide	0.0673234
pellet	0.0669317
dioxin	0.0667332
byproducts	0.0666415
isotope	0.066602
gasoline	0.0663369
"food product"	0.065939
residue	0.0656312
beverage	0.0651995
petrochemical	0.0648489
"household appliance"	0.0647557
"alcoholic beverage"	0.0645862
tobacco	0.0637954
gas	0.0637693
metal	0.0636531
resin	0.0633634
pollutant	0.0633288
"electronic device"	0.0633103
implant	0.0631655
vapor	0.0626444
flavoring	0.0624865
PCBs	0.0624518
munition	0.0623608
"integrated circuit"	0.0623136
ephedra	0.0620433
polymer	0.0618512
coolant	0.0616837
lysine	0.0616642
molecule	0.0615626
defoliant	0.0614112
methanol	0.0612956
sugar	0.0612599
poison	0.0612517
condiment	0.0610642
margarine	0.060788
Sarin	0.0607386
estrogen	0.0606139
tranquilizer	0.060483
"consumer goods"	0.0604142
powder	0.0604025
propellant	0.059776
plutonium	0.059399
antioxidant	0.0592613
watercraft	0.059146
"vegetable oil"	0.0591284
cellulose	0.0590632
"memory chip"	0.0587438
cosmetic	0.0587209
processing	0.0585816
GHB	0.0580386
viagra	0.0578653
herb	0.057674
"chemical agent"	0.0576463
Vaccine	0.0575121
"wheat flour"	0.0574661
packaging	0.0574467
microorganism	0.0574339
"consumer durables"	0.0574088
electrolyte	0.0574001
"breast implant"	0.0573365
melatonin	0.0572923
textile	0.0572496
semiconductor	0.0569498
disinfectant	0.056825
refrigerant	0.0568201
sulfur	0.056627
narcotic	0.0565392
bacteria	0.0564779
painkiller	0.0564717
antibody	0.0564505
androstenedione	0.0562557
stents	0.0557311
spice	0.0557105
cereal	0.0556724
foodstuff	0.0556719
"hard drug"	0.0556081
andro	0.0555539
"catalytic converter"	0.05551
timber	0.055421
tool	0.0554137
bleach	0.0553949
"home appliance"	0.055278
"machine tool"	0.0549787
"electrical device"	0.0545659
"specialty chemical"	0.054532
nitrate	0.0545225
salt	0.0542852
uranium	0.0542223
OD	0.0541936
Sewage	0.0541935
inhibitor	0.0541824
"palm oil"	0.0541723
appliance	0.0540865
microbe	0.0540695
fat	0.054041
refining	0.0538652
methodology	0.0535927
oxygen	0.0535501
contraceptive	0.0535349
meat	0.0535061
filler	0.0534736
sedative	0.0533293
"storage tank"	0.0533052
"cooking oil"	0.0530523
ether	0.0528767
petroleum	0.05281
milk	0.0527413
chlorine	0.052727
flour	0.0524785
EPO	0.0523709
phosphate	0.0523158
synthetic	0.0523088
fodder	0.0523028
"production facility"	0.0522996
cement	0.0522831
"motor oil"	0.0521755
benzene	0.0520856
steroid	0.0519896
sheeting	0.05189
generics	0.0518479
nitrogen	0.0518148
cigarette	0.051811
technique	0.0517823
"production equipment"	0.0517106
coating	0.0516625
goods	0.0516394
organism	0.0515901
medication	0.0515703
"nerve gas"	0.051497
soap	0.051476
pill	0.0514556
Rezulin	0.051327
"pet food"	0.0512766
hydrocarbon	0.0512598
silicone	0.0510881
anesthetic	0.0510187
olestra	0.0509051
snowmobile	0.0508978
grain	0.0508335
"human growth hormone"	0.0506591
therapy	0.0506361
"trade barrier"	0.0504866
))
(address (desc 101254) (sims
speech	0.2049
message	0.118616
"phone number"	0.113425
remark	0.112567
statement	0.109308
letter	0.107103
name	0.103563
"Social Security number"	0.101356
interview	0.0958523
"telephone number"	0.094245
password	0.0922548
presentation	0.0914838
"keynote address"	0.0897213
document	0.0896249
testimony	0.088909
"keynote speech"	0.0878603
comment	0.0847241
appearance	0.0845055
information	0.0837862
email	0.0837735
meeting	0.0822275
"news conference"	0.0817589
report	0.0803798
ceremony	0.0796351
sermon	0.0790733
briefing	0.0784008
announcement	0.0777166
visit	0.0767311
list	0.0747626
"zip code"	0.0740663
advertisement	0.0733921
number	0.0733436
conversation	0.0730984
broadcast	0.0729898
text	0.0727262
description	0.0722966
memo	0.0720969
article	0.0719446
"press conference"	0.0718865
date	0.0708366
page	0.0702963
location	0.0702521
debate	0.0698888
proposal	0.0692059
listing	0.0691227
instruction	0.068612
AD	0.0685312
data	0.0685231
Declaration	0.0684501
book	0.0677899
concert	0.0677357
discussion	0.0672742
site	0.0671031
lecture	0.0668757
"phone call"	0.0667542
note	0.0667353
session	0.0665928
signature	0.0665357
word	0.0663912
"telephone call"	0.0663432
answer	0.0660905
forum	0.0653892
file	0.0653216
greeting	0.0649558
deposition	0.0646474
account	0.0642531
Rally	0.0640928
hearing	0.0640588
talk	0.0640254
story	0.0639955
map	0.0635214
service	0.0633908
card	0.0632765
Speaking	0.0628583
"telephone conversation"	0.0627849
event	0.0625198
response	0.0624989
copy	0.0624802
directory	0.0624575
picture	0.0623108
detail	0.0620566
code	0.0619383
photo	0.061603
program	0.0614237
communique	0.0612149
conference	0.0611098
gathering	0.060941
appointment	0.0605163
video	0.0603324
identity	0.0600717
plea	0.0600276
appeal	0.0598762
recommendation	0.059826
election	0.0594776
stamp	0.0593395
recipe	0.0593349
plan	0.0593345
warning	0.0591407
image	0.0588198
schedule	0.0588111
prayer	0.058528
trip	0.0584557
database	0.0584026
commercial	0.0583474
agenda	0.0582953
Mail	0.0582307
confession	0.0578457
reply	0.0576332
"stump speech"	0.0575426
access	0.0575086
content	0.0572445
record	0.0570278
celebration	0.0569972
tour	0.0569513
argument	0.0567332
advice	0.0565437
vote	0.0564072
paper	0.0564071
item	0.056402
material	0.0563089
office	0.0562998
profile	0.055962
news	0.0559545
delegate	0.055897
programming	0.0558439
photograph	0.0554997
selection	0.0554964
update	0.0553723
decision	0.0553245
special	0.0552673
feature	0.0550988
bill	0.0550645
order	0.0549953
suggestion	0.0549675
Computer	0.0549418
function	0.0548549
apology	0.054781
paragraph	0.0547357
campaign	0.0546437
performance	0.0544946
commentary	0.0544147
budget	0.0542818
Song	0.0540923
review	0.0538715
footage	0.053745
summary	0.0536985
introduction	0.0536227
connection	0.0535328
calendar	0.0535306
domain	0.053504
server	0.053478
invitation	0.0534539
pledge	0.0533238
coverage	0.0533165
tribute	0.0532488
essay	0.0532279
certificate	0.0529854
column	0.0529787
postings	0.0529554
"credit card"	0.0529543
"radio broadcast"	0.0529541
request	0.0528815
memorandum	0.0528326
videotape	0.0527782
gift	0.0526975
question	0.0526384
term	0.0525888
eulogy	0.052529
inauguration	0.052424
diary	0.0523463
strategy	0.0523121
poem	0.0522893
software	0.0522575
language	0.0522253
summit	0.0521423
reference	0.0520896
package	0.0520231
festivity	0.0519774
questionnaire	0.0519496
parade	0.0518972
money	0.0518876
chat	0.0516161
dinner	0.0515288
"conference call"	0.051489
contest	0.0513796
brochure	0.0513608
reception	0.0512195
newsletter	0.0510092
view	0.0509766
theme	0.050914
seminar	0.0508632
tape	0.050816
presence	0.0507451
policy	0.0506953
search	0.0505823
explanation	0.0505652
home	0.0505646
registration	0.0505505
transcript	0.0504862
"news report"	0.0504158
))
(Adelaide (desc 10154.9) (sims
Brisbane	0.250252
Perth	0.245764
MELBOURNE	0.24176
Hobart	0.195003
Cairns	0.15585
Filderstadt	0.152678
Halle	0.150411
Basle	0.148593
Kitzbuehel	0.146069
Sydney	0.141858
"Gold Coast"	0.139075
Linz	0.136615
BRATISLAVA	0.125779
Canberra	0.125137
Auckland	0.125082
Sapporo	0.122848
Asuncion	0.121413
"Key Biscayne"	0.120166
Fremantle	0.119794
"Indian Wells"	0.119406
Dunedin	0.117857
PALERMO	0.117488
"San Sebastian"	0.117245
Duesseldorf	0.117093
Fukuoka	0.116099
Madras	0.115201
"St Petersburg"	0.113672
Durban	0.113024
Trondheim	0.112491
Osaka	0.112408
Rotterdam	0.111454
Stuttgart	0.109801
"Melbourne Park"	0.107078
Gelsenkirchen	0.106537
Hamburg	0.105839
"Hilton Head"	0.104791
Tashkent	0.104597
Lyon	0.102728
Antwerp	0.101611
Glasgow	0.101599
Bormio	0.10097
Darwin	0.100376
Eastbourne	0.0988406
Zurich	0.0977642
Munich	0.0976693
Lucerne	0.0974369
"Monte Carlo"	0.0972835
Sestriere	0.0968571
Birmingham	0.0967771
Lahti	0.0966307
Chiba	0.0960798
Newcastle	0.0954098
Copenhagen	0.0951311
Eindhoven	0.0946149
Malmo	0.0941568
Oslo	0.0927625
BASEL	0.0919263
"World University Games"	0.0917934
Nagano	0.0913166
"Rodney Eyles"	0.0911784
Strasbourg	0.0910374
Bremen	0.0908443
Windhoek	0.0907017
Lausanne	0.090038
Barcelona	0.0899904
Cardiff	0.0899455
Nantes	0.0892973
Hakuba	0.0881466
Christchurch	0.0881303
Leipzig	0.0880964
Seville	0.0879051
Doha	0.087742
Indianapolis	0.087245
"Melbourne Cricket Ground"	0.0872122
"Sao Paulo"	0.0868639
Lahore	0.0868274
Dusseldorf	0.0861952
Montpellier	0.0861628
"Manhattan Beach"	0.0860356
Carlsbad	0.0860263
Utrecht	0.0858681
Monaco	0.0854071
"CHIANG MAI"	0.0853722
Goteborg	0.0853641
Riga	0.0848125
Lugano	0.0847644
Sheffield	0.0846223
STOCKHOLM	0.0844889
Marseille	0.0843779
Hanover	0.0842792
Gothenburg	0.0840127
Charleroi	0.0830955
Pattaya	0.0829063
"Stockholm Open"	0.082796
Ljubljana	0.0813298
"Cape Town"	0.0809457
"European Swimming Championships"	0.080814
"Andrew Ilie"	0.0807838
Heerenveen	0.0804812
ATHENS	0.0803272
Turin	0.0800415
Milan	0.0800005
Nagoya	0.0797459
Minsk	0.0794559
Rawalpindi	0.0793079
Gaborone	0.0790817
"Michael Doohan"	0.0790462
Peshawar	0.0789687
"Ho Chi Minh City"	0.0787527
"Scott Draper"	0.0782613
"World Team Cup"	0.0771612
"Australian Open"	0.0768605
"Richard Fromberg"	0.0767777
Kuching	0.0759665
MANAMA	0.0759331
Dortmund	0.0758956
Bari	0.075847
Accra	0.0756377
JOHANNESBURG	0.0756154
Guadalajara	0.0752693
"Jason Stoltenberg"	0.0751254
Innsbruck	0.075072
"Swiss Open"	0.0745715
Karachi	0.0745356
Klagenfurt	0.0742304
Dushanbe	0.0740805
"Quebec City"	0.0739612
Denpasar	0.0739511
"Cathy Freeman"	0.0738492
Ghent	0.0737676
Helsinki	0.0735723
"St. Petersburg"	0.0733876
Berlin	0.0729694
Yokohama	0.0728222
Amsterdam	0.0727704
Jeddah	0.0726086
"Wimbledon Tennis Championships"	0.0725803
Tapachula	0.0725597
Tokyo	0.0723973
Prague	0.0720152
Toronto	0.0718774
Muscat	0.0716928
SAINT-ETIENNE	0.0716329
Imola	0.0715531
Calgary	0.0715318
"Lleyton Hewitt"	0.0710107
"San Jose"	0.0710013
Almaty	0.0709964
Lucknow	0.0708406
MAPUTO	0.0706037
BUCHAREST	0.0704727
Falun	0.0704666
BUDAPEST	0.0702155
Langkawi	0.0701667
Plata	0.0700317
ZAGREB	0.069961
"New Haven"	0.0696712
Casablanca	0.0696652
Florence	0.0695591
Nottingham	0.0695559
"Philippine Stock Exchange"	0.0694843
"Michael Tebbutt"	0.0693608
"Bandar Seri Begawan"	0.0687969
Toulouse	0.0687522
Memphis	0.0686067
Pretoria	0.0685398
"Ian Thorpe"	0.0685152
LISBON	0.068399
Havana	0.0683739
Belfast	0.0680182
"La Paz"	0.0679345
Bologna	0.0678693
Scottsdale	0.0677467
Krasnoyarsk	0.067733
SEOUL	0.0675279
WARSAW	0.0672597
Orlando	0.0672338
KIEV	0.0672126
Hiroshima	0.0670261
HARARE	0.0668361
Montreal	0.0667075
Vancouver	0.0666428
Vienna	0.066521
Edgbaston	0.0664626
Yogyakarta	0.0664625
Tallinn	0.0662232
Riyadh	0.0660985
Surabaya	0.0660515
SOFIA	0.0660347
"Kuala Lumpur"	0.0659395
Monrovia	0.0659082
Wembley	0.0658701
Salzburg	0.065816
Greenville	0.0656647
"European Championship"	0.0656637
Frankfurt	0.0653007
Dublin	0.0652795
Kuito	0.0651719
Sacramento	0.0651329
Rostock	0.0650622
))
(Adele (desc 1168.49) (sims
Olivia	0.0889706
Beverly	0.0778093
Tevanian	0.076495
Brenda	0.0758527
"blind man"	0.0724891
Marlene	0.0724419
Debra	0.0688091
"Nicole Brown Simpson"	0.0683195
Nina	0.068298
Colburn	0.0674323
"Laura Bush"	0.0664928
Schmalensee	0.066073
Elena	0.0658538
Tammy	0.0654889
Lynne	0.0654045
Toni	0.0651027
Ruehe	0.0645044
Yosef	0.064453
Teresi	0.0640441
Polly	0.06347
stepdaughter	0.0630118
Margaret	0.0629115
Harr	0.0620189
Ozersky	0.0617462
Donna	0.0613945
Valerie	0.0610285
"Leigh Ann"	0.0609798
McCloud	0.060956
Sylvia	0.0609039
Betsy	0.0604135
Cathy	0.0602717
Gail	0.0602182
"Dee Dee"	0.0600145
Marguerite	0.0598114
Elaine	0.059714
"Jenny Shipley"	0.0595583
Pam	0.0595432
Cepeda	0.0593979
Heidi	0.0593802
"robbery suspect"	0.0592489
Martha	0.0591282
Andrea	0.0588835
Abby	0.0577911
Connie	0.0572473
Jill	0.0572443
Allchin	0.0571609
Ronnie	0.0571063
Shayler	0.0561621
Nancy	0.0560092
Tracey	0.0559574
Kono	0.0559118
"Prime Minister Banharn Silpa-Archa"	0.0558954
"shop assistant"	0.0558426
Mimi	0.0557049
Camille	0.0556434
"Cindy McCain"	0.0555411
Frances	0.0554861
Brooke	0.0554484
Eileen	0.0547703
Susan	0.0547252
Bernard	0.0542504
"Mission Control"	0.0541527
Dorothy	0.0541393
Barbara	0.0539973
Patricia	0.0537892
"Boutros Boutros Ghali"	0.053544
Lydia	0.0534755
ex-husband	0.0534573
Christine	0.0531646
Millie	0.0531162
Gurirab	0.0527578
Olga	0.0524991
Diane	0.052441
Meeks	0.0523619
Lyman	0.0523518
Doris	0.0522206
Myhrvold	0.0521762
Helene	0.0520793
"Azizah Ismail"	0.0520785
Kabariti	0.0520125
Debbie	0.0517856
Josephine	0.0516186
Judy	0.0515453
Rhonda	0.051464
Jayakumar	0.0511765
Evelyn	0.0511192
Maritz	0.0510265
MP@s	0.0509686
Eyadema	0.0508493
Cooley	0.0507407
Tipper	0.050675
"Dudley Do-Right"	0.0505955
Momma	0.0505404
Helen	0.0505341
Catherine	0.0503253
Kasoulides	0.0501419
Lamberth	0.050133
Annie	0.0498835
Kathleen	0.0498629
Dehaene	0.049844
"Lord's Prayer"	0.0497357
"ugly duckling"	0.049677
Fassett	0.049626
Thelma	0.0496161
Pamela	0.0495606
mother-in-law	0.0494848
Sethe	0.0494806
Peng	0.0494105
Erin	0.0490267
Karen	0.048985
Loretta	0.0487711
Feerick	0.0484948
Regina	0.0483582
Jimy	0.0482436
Severino	0.048209
Irene	0.0482069
Melinda	0.0481495
"Commonwealth Ministerial Action Group"	0.0480942
Juncker	0.0480913
Merrick	0.0480604
Samson	0.0480572
Hawn	0.0477474
Stephanie	0.0476911
Beth	0.0476679
Jamie	0.0476
looker	0.047482
Sally	0.0474283
Lucia	0.0474113
Whittingham	0.0473034
Phyllis	0.0472747
Englishwoman	0.0472424
Batouty	0.047005
Jenny	0.0469061
Lizzie	0.0468001
coconspirator	0.0467583
Rifkind	0.0466669
Shirley	0.0463545
Darrell	0.0463111
Christy	0.0462894
Cindy	0.0462626
Paulie	0.0462426
Bessie	0.046164
Vollebaek	0.0461128
Longo	0.0460914
Nicole	0.0460013
Katherine	0.0459031
Ogilvy	0.045899
"Valery Pustovoitenko"	0.0458866
Koskinen	0.0458048
Kristin	0.0456869
Mona	0.0456795
ex-girlfriend	0.0456001
becky	0.0455773
Roberta	0.0455701
Gus	0.0454137
Abdel-Meguid	0.0453806
Isabella	0.0452576
Lacresha	0.0452262
Nickerson	0.0451396
Marta	0.0450953
Ruthie	0.0450579
Farber	0.0449646
Castaneda	0.0447611
Arroyo	0.0447046
Julie	0.0446929
octogenarian	0.0445683
DeShields	0.0445273
Barrie	0.0445071
Braugher	0.0445018
Detmer	0.044441
Marcia	0.0444338
zoologist	0.0443875
Trixie	0.0443762
Rita	0.0443281
Ciampi	0.0443188
Hadassah	0.044283
"P.S @@@"	0.0442346
"personality disorder"	0.0442244
Kodikian	0.0441755
Marianne	0.04415
Soyinka	0.0441235
Ikimi	0.0441234
Paulina	0.0441064
Agnes	0.0439389
Rachel	0.0438546
Sebastian	0.0437423
Kelso	0.0437382
Emma	0.0434941
"waiting game"	0.0434489
Jovanovic	0.0433861
Betty	0.0433424
Koresh	0.0433302
Marilyn	0.0433002
Lori	0.0432894
Shannon	0.0432769
Tendulkar	0.0432013
Ikeda	0.0431672
Soares	0.0431541
Pauline	0.0431494
major-leaguers	0.0430338
))
(Adelphia (desc 819.794) (sims
NiSource	0.152869
Alltel	0.145745
GPU	0.143561
Omni	0.122945
Georgia-Pacific	0.11446
Echostar	0.113008
CSX	0.101888
SBC	0.0966919
Inktomi	0.0940682
TYCO	0.0935873
Cablevision	0.0931764
Clorox	0.092807
Aegon	0.0920887
RJR	0.0920824
AMR	0.0908258
"Norfolk Southern"	0.089398
BNFL	0.0891747
NORTHROP	0.0879086
"Dow Chemical"	0.0874015
Gilead	0.0866473
iXL	0.086282
"National Grid"	0.0858569
Chiron	0.0857956
E-LOAN	0.0855389
Litton	0.085505
Weyerhaeuser	0.0843381
"Southern Co."	0.0837471
BASF	0.0826515
Icahn	0.082391
"BellSouth Corp."	0.0822401
GEC	0.0817766
CMGI	0.0816939
NTL	0.0815951
Pe	0.0814226
PLN	0.0811034
Tenneco	0.0809257
Starwood	0.0804308
"Ford Motor"	0.0798652
Enron	0.0796929
Northpoint	0.0789193
UAL	0.0787025
"Weight Watchers"	0.0780905
ENTERGY	0.0778792
ING	0.0775907
"International Paper"	0.0772781
Allstate	0.077262
AIG	0.0771393
Softbank	0.0765155
Scientific-Atlanta	0.0763986
Sepracor	0.0755788
HBOC	0.0754462
Intl	0.0751133
Equifax	0.0748614
Daimler	0.0740935
"Will Rogers"	0.0738404
"billion over @@ years"	0.0737956
Cathay	0.073242
YankeeNets	0.0726494
Kodak	0.072048
Genzyme	0.0719985
Cendant	0.0718261
Aetna	0.0715024
Albertson's	0.0713575
"Texas Instruments"	0.0711541
"Motorola Inc."	0.0711411
"over six months"	0.0710583
Nextel	0.0710363
Chris-Craft	0.0710309
Ciena	0.0708881
catechism	0.0707775
"MCI WorldCom"	0.0706866
Priceline	0.0706169
Pairgain	0.070254
Cargill	0.0700457
"MCI Worldcom Inc."	0.0699729
Symantec	0.0696611
Norwest	0.0696397
"Whole Foods"	0.0696263
AlliedSignal	0.0695474
Fedex	0.0693252
AutoNation	0.0692147
Berkshire	0.0691459
Autodesk	0.0689952
DoCoMo	0.0689232
"Hearst Corp."	0.0689211
Telefonica	0.0688414
REIT	0.0688398
"Thermo Electron"	0.0687808
Chevron	0.0685992
Alcatel	0.068443
MD	0.0683206
Corning	0.0682858
"U.S. Fed"	0.0682091
EMC	0.0681477
McCaw	0.0681132
Bertelsmann	0.0677781
Thyssen	0.0674953
GANNETT	0.0672719
USEC	0.0667862
"Berkshire Hathaway"	0.0666292
SAS	0.066378
"Kraft Foods"	0.0661493
WPP	0.0659278
JetBlue	0.0656159
"Bausch &AMP; Lomb"	0.0654467
Bulog	0.0654431
SFX	0.0654263
Terra	0.0646951
SDL	0.0645932
VoiceStream	0.0641203
adobe	0.0640264
Pepsico	0.0639967
RCN	0.0639626
Aeroflot	0.0638976
CVS	0.0636359
"Con Ed"	0.0635599
Federated	0.0633127
China.com	0.0632751
"Washington Mutual"	0.0632505
Checkfree	0.0631901
"Gap Inc."	0.0629446
Broadcom	0.0628997
Providian	0.0624538
Reel.com	0.0621036
CEC	0.0620392
"Circuit City"	0.0619476
Amway	0.0616072
Ameritech	0.0616021
"Tribune Co."	0.0615125
NTT	0.0614742
Staples	0.0613227
second-grade	0.0613089
MBNA	0.0612351
"Hongkong Telecom"	0.061217
MindSpring	0.0611598
Getty	0.0611541
Tandy	0.0609887
"Beth Israel"	0.0609368
MCI	0.0608774
Sunbeam	0.0608288
"Federated Department Stores"	0.0605824
Airtouch	0.0604763
BofA	0.0602464
Scripps	0.0600523
AMC	0.0599656
Amgen	0.0598626
Ahold	0.0596181
GoTo.com	0.05958
Belo	0.0594409
WorldCom	0.0594085
Loews	0.0592457
McKesson	0.0591139
CSC	0.0591134
SunTrust	0.0590368
STARMEDIA	0.0590272
EA	0.0586684
Conseco	0.0585848
PATA	0.0584649
Pirelli	0.0584629
Overnite	0.0584015
"Cox Communications"	0.0583622
BOI	0.0581847
Monsanto	0.0581819
Bochy	0.0581674
Goode	0.0579763
Kendall-Jackson	0.0577815
"Sdn Bhd"	0.0577249
FPL	0.0576644
Roberds	0.0574982
"Dell Computer Corp."	0.0573038
Hasbro	0.0572125
Safeway	0.0571327
"Russian Space Agency"	0.0570987
Kesri	0.0568459
"Chronicle Publishing"	0.05671
"German language"	0.0566315
Costco	0.056601
Delphi	0.0565816
RWE	0.0564122
"Southwestern Bell"	0.0563077
six-point	0.0561712
"Park Service"	0.0559735
"Rite Aid"	0.05562
Seagate	0.0555936
ITC	0.055411
"Pacific Lumber"	0.0553851
Avondale	0.0552543
Schwab	0.0552318
HP	0.0551428
"NTT DoCoMo"	0.0551069
Dupont	0.0550272
Renault	0.0549825
third-grade	0.0549651
"First Union"	0.0549563
TDC	0.0549084
Akamai	0.0546864
Ikea	0.0546415
McDonalds	0.0546228
"GE Capital"	0.0545548
skiff	0.0545482
))
("Adem Demaci" (desc 1963.78) (sims
"Hashim Thaci"	0.238659
"Ibrahim Rugova"	0.21195
Demaci	0.207366
"Charlene Barshefsky"	0.190006
"Faisal Husseini"	0.163446
"Vuk Draskovic"	0.161683
"Fehmi Agani"	0.157738
"Joe Lockhart"	0.155727
"Sergei Yastrzhembsky"	0.149797
"Ahmed Tibi"	0.144055
"Galina Starovoitova"	0.142464
"Bernard Kouchner"	0.142146
"Bruce Teitelbaum"	0.140615
"Carlos Westendorp"	0.135794
"Carl Bildt"	0.134289
"Qin Huasun"	0.132121
"David Jones"	0.127614
"Martin Lee"	0.127142
"David Bar-Illan"	0.123923
Sharansky	0.121171
"Ken Johnson"	0.118817
"John Hume"	0.117575
"Richard C. Holbrooke"	0.11586
"Vladislav Jovanovic"	0.114615
"Mike McCurry"	0.114242
"David Trimble"	0.109556
"Vladimir Zhirinovsky"	0.107222
"Sergio Vieira de Mello"	0.107093
"Dan Schnur"	0.104734
Azizah	0.103132
"Natan Sharansky"	0.103071
"Joerg Haider"	0.102774
Ruehe	0.102597
"Yossi Sarid"	0.100855
"Ricardo Alarcon"	0.0995388
"Chief Executive Tung Chee-hwa"	0.0981886
Iger	0.0977682
Ashrawi	0.0973543
"Ariel Sharon"	0.0967843
Nateq-Nouri	0.0963411
"Haim Ramon"	0.0962507
"Wolfgang Petritsch"	0.0960181
"Amien Rais"	0.0960081
"Jeremy Greenstock"	0.0958616
Bruton	0.0954779
"Seamus Mallon"	0.0941868
Wamba	0.0941098
"Bernard Sanders"	0.0940173
"Long Yongtu"	0.0931932
"Stuart Eizenstat"	0.0930953
Eubanks	0.0925968
"Ian Paisley"	0.0918832
Ecevit	0.0918154
Kavan	0.0916588
Granic	0.0912846
"Jim Turner"	0.0900965
"Abu Ala"	0.0898777
Tarawneh	0.0896516
Ben-Ami	0.0892523
McGuinness	0.0879566
"Yukio Hatoyama"	0.0878798
Klestil	0.0876514
"Vojislav Seselj"	0.087492
"Wang Youcai"	0.0867644
"Robert Aventajado"	0.0867253
"Wang Daohan"	0.0866695
Bildt	0.0865748
"Salim Hoss"	0.0860306
"Kim Dae Jung"	0.0855947
"Richard Gephardt"	0.0851493
"Robert Gelbard"	0.0843901
"Aryeh Deri"	0.0836838
"Massimo D'Alema"	0.0828674
Jayakumar	0.0824806
"Gene Sperling"	0.0824015
"Alija Izetbegovic"	0.0823234
"Barry R. McCaffrey"	0.0820453
"Hans von Sponeck"	0.0818135
Constantinescu	0.0815541
Wenger	0.0815087
"Sam Rainsy"	0.0813189
Nemtsov	0.081083
"Alexander Shokhin"	0.0810525
"Mikhail Kasyanov"	0.0810409
Scalfaro	0.0809785
"Karen Hughes"	0.080769
Guterres	0.0806549
"Nikola Poplasen"	0.0805709
Sassa	0.0805674
Vialli	0.0805227
"Robin Cook"	0.0804206
Yastrzhembsky	0.0803087
Klima	0.0802031
"Vaclav Klaus"	0.0801193
"Bill Richardson"	0.0800502
"Bizima Karaha"	0.0800109
"Bulent Ecevit"	0.0798784
"Javier Solana"	0.0798218
"Bob Livingston"	0.0798082
Duisenberg	0.0796682
"Boris Nemtsov"	0.079322
DeFrantz	0.0790653
Bakaly	0.0789757
"Shelly Finkel"	0.0786014
"Jean-Marie Le Pen"	0.0783034
Husseini	0.0778899
Aoki	0.0774732
Condit	0.0772789
"Ivan Kostov"	0.0772552
"Azem Hajdari"	0.0770384
"Michel Camdessus"	0.0767729
Insulza	0.0766749
Rais	0.0763968
Orban	0.0762632
"Mo Mowlam"	0.0762235
Hindery	0.0761288
"Joschka Fischer"	0.0758707
Myhrvold	0.0758455
"Tansu Ciller"	0.0758415
"Gennady Zyuganov"	0.0755658
"David Dreier"	0.0753283
Bishara	0.0752879
Patten	0.0751327
Stroyev	0.0751298
"Dore Gold"	0.0750319
"Jim Jones"	0.0747884
Rodionov	0.0746677
"Al Sharpton"	0.0741964
"David Johnson"	0.0740875
"Helen Clark"	0.0738186
"Christopher Shays"	0.0738134
Kerasiotes	0.0736865
LeBlanc	0.0735835
Seleznyov	0.0734571
Eizenstat	0.0734393
"Krishna Prasad Bhattarai"	0.0732514
"Wim Duisenberg"	0.0731018
"John Prescott"	0.0730624
"Khin Nyunt"	0.0728006
Ruggiero	0.0727403
Siazon	0.0725632
"Tom Davis"	0.0723943
"Mark Smith"	0.0722986
Maslyukov	0.072266
Kouchner	0.07203
Alarcon	0.0719317
Maldini	0.0718577
Allchin	0.0717741
Reimer	0.0715766
"Xu Wenli"	0.0715535
"Eric Holder"	0.0714128
"Sonia Gandhi"	0.0712701
"Martin Meehan"	0.0711893
Eran	0.0710695
"Necmettin Erbakan"	0.0707533
Bhattarai	0.070551
"Robert Livingston"	0.0704651
Schaeuble	0.0704336
"California Democrat"	0.0704039
Rudman	0.07025
"Gerry Adams"	0.0702377
"Marzuki Darusman"	0.0702349
Barad	0.0700522
Lockhart	0.0697955
"Imelda Marcos"	0.0695836
"Illinois Republican"	0.0695727
Moonves	0.0693748
Pustovoitenko	0.069355
Saleh	0.0692658
"Leon Brittan"	0.0691062
"Aslan Maskhadov"	0.068942
"Momcilo Krajisnik"	0.0687308
Moratinos	0.0685565
Lehane	0.0684708
"Anwar Ibrahim"	0.0684502
"Pascoal Mocumbi"	0.0684483
"Jim Hodges"	0.0682386
"Moshood Abiola"	0.068172
Ahtisaari	0.0681256
"Xanana Gusmao"	0.0679842
Waxman	0.0679487
Kambanda	0.0679412
Zucker	0.0679301
"Joseph Bruno"	0.0678205
Hodler	0.0676944
D'Alema	0.0676929
Barksdale	0.0676546
Hamdoon	0.0676242
"Martin McGuinness"	0.0675093
"Grigory Yavlinsky"	0.0673374
"Bashkim Fino"	0.0672959
Marulanda	0.0670328
Abdel-Meguid	0.0669511
Diouf	0.0666674
Almeida	0.0664735
"Lamar Smith"	0.0664311
"Tom Campbell"	0.0662082
Andreessen	0.0661563
"John Howard"	0.065979
Kesri	0.0658231
))
(Aden (desc 3084.32) (sims
Suez	0.151842
Aqaba	0.14379
Basra	0.130244
Gdansk	0.11509
Makhachkala	0.110188
Eilat	0.0973951
Durres	0.096686
Larnaca	0.0955202
"Port Said"	0.0947219
Trincomalee	0.0940901
Izmir	0.0922487
Huambo	0.0921635
Sihanoukville	0.0891704
Guayaquil	0.0879257
Sidon	0.0873656
Antalya	0.0867311
Salonica	0.0861872
Alexandria	0.0859869
Catania	0.085687
Zhangjiagang	0.0854366
Sirte	0.0849939
Murmansk	0.0845941
Bursa	0.0835467
Bushehr	0.0829514
Assab	0.0827248
"Novi Sad"	0.0825371
Ismailia	0.0821548
Malaga	0.0811109
Ensenada	0.0803683
Haifa	0.0801479
Isfahan	0.0793493
Jeddah	0.0780265
Mombasa	0.0774647
Bulawayo	0.0768274
Karachi	0.0767899
Limon	0.0764805
Sharjah	0.0756207
Toulon	0.0755107
Kismayu	0.0750861
Ndola	0.0750735
Kandy	0.0746302
Aswan	0.0743037
Herat	0.0735936
Bloemfontein	0.0732545
Haicheng	0.0731509
Cebu	0.0730471
Vladikavkaz	0.0728633
Sevastopol	0.0720127
"Chiang Rai"	0.0719537
Medan	0.071636
Inchon	0.0714861
Limassol	0.0713889
Warri	0.071366
"CHIANG MAI"	0.0712706
MAPUTO	0.0708788
"Surat Thani"	0.0703511
Acapulco	0.0701898
Phuket	0.0700279
Dhahran	0.0694579
Vukovar	0.0693317
Merca	0.0693298
Mandalay	0.0687879
Kigoma	0.0687663
Krakow	0.0687335
Chittagong	0.0685389
Krasnoyarsk	0.0684726
COLOMBO	0.0683757
Sanya	0.0678686
Davao	0.0678329
Gudermes	0.0678103
Zamboanga	0.0675761
Durban	0.0672033
Beersheba	0.0667604
Basle	0.0666249
Pusan	0.0663973
Riyadh	0.0657973
Hamburg	0.0656476
Tigray	0.0655476
Kizlyar	0.0652493
"Montego Bay"	0.0647923
Madras	0.064245
Cali	0.0642313
Izmit	0.0636793
Bamiyan	0.0627219
Cairns	0.0627042
"Mount Lebanon"	0.062504
Beira	0.0624614
Vilnius	0.0622289
Goteborg	0.0621464
Vladivostok	0.0618393
Kuching	0.0618346
Istanbul	0.0617852
Dushanbe	0.0617429
Antwerp	0.0613831
Vlore	0.0607517
Beihai	0.0606885
Piraeus	0.0604362
Londonderry	0.0603765
Salerno	0.0603683
Manado	0.0601417
Cienfuegos	0.0600572
Cartagena	0.0598479
"Port Angeles"	0.0596326
Calais	0.0596174
Bellingham	0.0593862
Kandahar	0.0592865
Charlottesville	0.0590359
Matadi	0.05901
"Dar es Salaam"	0.0588451
Peshawar	0.0587739
este	0.0584828
Rafah	0.058426
TUNIS	0.0584003
NIS	0.0582356
Asmara	0.0582279
Xian	0.0581635
Luxor	0.0581112
Dandong	0.0580443
Tete	0.0580295
Galle	0.0578523
"Port Harcourt"	0.0575591
Guadalajara	0.057392
Bari	0.0571969
Mbarara	0.0571886
"Canary Islands"	0.0569829
Thessaloniki	0.0568265
Yantai	0.0565505
Qinhuangdao	0.0563227
"Siem Reap"	0.0560895
"Miami Beach"	0.0560842
colon	0.0559146
Leningrad	0.055846
Manta	0.0555622
Dubrovnik	0.0555576
Xi	0.0550683
rinderpest	0.0548543
"Port Arthur"	0.05481
Leskovac	0.0547558
Qingdao	0.0545999
Jalalabad	0.0545267
SANAA	0.0543811
Khartoum	0.0541813
Tapachula	0.0541436
Calcutta	0.05397
Haikou	0.0539635
Nagoya	0.0538764
Kaohsiung	0.0536758
Algiers	0.0535257
Beaumont	0.0535068
Veracruz	0.0535031
Yokohama	0.0534589
"Phnom Penh"	0.0534221
Ashkelon	0.0533019
Doha	0.0530439
Urumqi	0.0529418
Osaka	0.0529318
"Buenos Aires"	0.0525803
BLANTYRE	0.0525215
Bombay	0.0524958
Taba	0.0522001
Cotabato	0.0521778
Najaf	0.0519752
Giza	0.0519453
Baalbek	0.0518444
Tripoli	0.0516657
Avignon	0.0516326
Hyderabad	0.0514921
Santiago	0.0513814
minicamps	0.0513363
Christchurch	0.0513272
Medellin	0.0511672
Darwin	0.0511449
Managua	0.0510669
Khabarovsk	0.0510032
Valdez	0.0508648
Fuzhou	0.0506364
Greenville	0.0506218
Bangalore	0.0504667
Almaty	0.0504376
Kisumu	0.0503178
Zhangzhou	0.0502627
Pattaya	0.050163
Bengkulu	0.0501607
Rostock	0.0501214
Cochabamba	0.050076
BRIGHTON	0.0499212
Guangxi	0.0498202
Tacoma	0.0497749
CANCUN	0.0495948
Mostar	0.0494357
"East Java"	0.0494342
Tijuana	0.0493319
Palembang	0.0493051
Cordoba	0.0492799
Basilan	0.0492401
Xiamen	0.0492216
Brisbane	0.0492028
"Cape Town"	0.0491244
"San Pedro Sula"	0.0491072
Luanda	0.0490526
))
(adenovirus (desc 1093.28) (sims
HIV-@	0.103562
ketamine	0.0976681
Avonex	0.0959369
AZT	0.0939325
nevirapine	0.0915483
hGH	0.0890141
"electric current"	0.0869754
ebola	0.0866837
mifepristone	0.0819024
Ritalin	0.0801154
Herceptin	0.0784047
antihistamine	0.077801
endoscope	0.0762688
anesthetic	0.0760123
melatonin	0.0756896
"gamma ray"	0.0750149
Rezulin	0.0718537
"animal disease"	0.07019
sedation	0.0697348
penicillin	0.0695396
painkiller	0.0684017
Propulsid	0.0671068
interferon	0.0670138
Endostatin	0.0661081
Zoloft	0.0655557
Valium	0.0653948
"vitamin E"	0.0629282
smallpox	0.0626034
EPO	0.0619684
Botox	0.0618073
"breast implant"	0.0617262
"cold spell"	0.0617021
infrared	0.0608782
Hantavirus	0.0606711
Chernobyl	0.0602548
rotavirus	0.0596035
acetaminophen	0.0593625
tamoxifen	0.0593558
"Airbus A@@@"	0.059235
"three pitchers"	0.0591991
creatine	0.0582344
Relenza	0.0578237
leptin	0.0577877
antigen	0.0571032
"American plane"	0.0569705
microorganism	0.0569608
defibrillator	0.0569475
echinacea	0.0569042
"human growth hormone"	0.0559963
"trial and error"	0.0558663
KNU	0.0553741
"storm cloud"	0.0552496
epoxy	0.0551872
"growth hormone"	0.0550434
"chemical compound"	0.054986
"foot-and-mouth disease"	0.0549751
contraceptive	0.0545481
insecticide	0.0542743
Bartholomew	0.0541803
influenza	0.0537751
personalization	0.053759
"warning signal"	0.0537019
androstenedione	0.0536406
saline	0.0536121
"order form"	0.0533531
"honorable mention"	0.0530692
TPA	0.0528148
A@@@-@@@	0.052607
"UNIX operating system"	0.0525302
Laudrup	0.0522691
"break of serve"	0.052115
"a few lines"	0.0515808
"Legion of Honor"	0.0515583
"utility program"	0.0515528
leech	0.0515414
capsaicin	0.0513177
"visual image"	0.0511625
clenbuterol	0.0511339
suffix	0.0505444
opiate	0.0505082
sherpas	0.0504847
"circadian rhythm"	0.0502191
hand-me-down	0.050187
venom	0.0500961
"St. John's wort"	0.0500727
"tone of voice"	0.0499927
MDMA	0.049413
sturgeon	0.0492838
"radio signal"	0.0492606
"embryonic cell"	0.0491336
Steinway	0.0491162
"wonder drug"	0.0490935
methadone	0.0489726
Soyinka	0.0486764
spore	0.0486423
"fruit fly"	0.0485459
Celebrex	0.0484978
hyphen	0.0484513
"cancer cell"	0.0483673
amphetamine	0.0483123
antibody	0.0482886
vector	0.04821
"freight car"	0.047927
thalidomide	0.0478946
dosage	0.047856
plural	0.0477378
"space heater"	0.0476843
"incentive program"	0.0474841
"radio wave"	0.0473202
Prilosec	0.0471907
motorboat	0.0470922
levity	0.0468815
"battering ram"	0.0467874
estrogen	0.0464983
"hepatitis B"	0.0464874
inhibitor	0.0464739
fungicide	0.0464202
aspirin	0.0463254
chlorine	0.0463131
"China Southern Airlines"	0.0462943
"dairy cow"	0.0462561
Diagnoses	0.0460241
"fuel system"	0.0459265
"point system"	0.0457288
insulin	0.0456966
"white blood cell"	0.0455237
"Etan Thomas"	0.0454994
Belanger	0.0453117
diabetic	0.0450733
stimulant	0.0449037
"yellow fever"	0.0448848
ultrasound	0.0448213
O'Hair	0.0448045
updraft	0.0447472
"water jug"	0.044739
Ltd	0.0446998
morphine	0.0446959
stents	0.04468
"Long-Term Credit Bank"	0.0446717
"hypodermic needle"	0.0446329
LNG	0.0446321
"evil spirit"	0.0446296
Merapi	0.0446102
andro	0.0446056
adopters	0.0445762
"scientific method"	0.0444492
acupuncture	0.0442126
inhaler	0.0440881
"Delta @"	0.0438272
spectrometer	0.0437853
Auger	0.0437815
Fen-Phen	0.0437707
Zyvox	0.0436712
listeria	0.0436327
"motor oil"	0.0434762
potty	0.0434088
"one line"	0.0433515
GPS	0.0433255
"Sultan McCullough"	0.0433088
"chemical reaction"	0.0432497
"water hyacinth"	0.0431787
Tylenol	0.0431515
mitochondria	0.0431181
"artificial insemination"	0.0430054
Alcantara	0.0429433
Leuchter	0.0428875
LPG	0.0427848
catamaran	0.0427272
bacterium	0.0424467
"China Eastern Airlines"	0.0424235
glucose	0.042297
"Yangtze River Delta"	0.0422779
LSD	0.0422296
ibis	0.0422096
defoliant	0.0421976
"radio frequency"	0.0421074
STARMEDIA	0.0421067
"Air France Concorde"	0.0420632
"telephone wire"	0.0420346
"rating system"	0.0420115
Mapes	0.0419977
afterburner	0.0419338
"Golden Triangle"	0.0418935
Hess	0.0418857
sulfate	0.0418377
fungus	0.0417229
telomerase	0.0416816
imperfection	0.04161
"Main Events"	0.0415175
diuretic	0.0415155
Chamblee	0.0415099
Cleaver	0.04135
"Eleanor Roosevelt"	0.0412931
ex-combatants	0.0412731
"about @@@ million yuan"	0.0412459
mafioso	0.0412415
suture	0.0412341
"extension cord"	0.0411446
"undercover agent"	0.0411409
Tram	0.0411408
))
(adept (desc 3483.41) (sims
picky	0.0731613
timid	0.065143
insolvent	0.0646069
proactive	0.0644491
accepting	0.0630941
user-friendly	0.0621274
antsy	0.0617013
"second person"	0.0614817
queer	0.0613233
eye-opening	0.0597507
multimillionaires	0.059598
Americanized	0.0594201
incompetent	0.0576244
preachy	0.0556342
HIV-positive	0.0556306
vaulter	0.054533
"sitting duck"	0.0539444
untouchable	0.0529198
"solid ground"	0.0526787
"hockey coach"	0.0526392
hawkish	0.0515471
experimenter	0.0506634
broad-based	0.0504786
celebs	0.0504623
well-versed	0.0502783
neurotic	0.049637
learner	0.0487331
impostor	0.0481391
"top dog"	0.0480703
automaton	0.0479938
overweight	0.0479443
reactionary	0.0477494
"ball club"	0.0476877
"altar boy"	0.0472504
"paying attention"	0.0464561
cantata	0.0461015
umbrage	0.0460539
privy	0.045717
schematic	0.04571
grating	0.0456449
backbencher	0.0452393
up-front	0.0451392
"first pitcher"	0.0451163
B-@s	0.0448676
"good story"	0.0447574
simpatico	0.044194
paraplegic	0.0441294
punchline	0.0437473
crowd-pleaser	0.043712
"center of attention"	0.0436068
jerky	0.04351
infantryman	0.043372
"breathing room"	0.0432792
gung-ho	0.0426653
All-Pro	0.0424662
happiest	0.0423439
"volleyball player"	0.0421502
"house guest"	0.0420905
puncher	0.0414468
stronger	0.0414078
"hockey player"	0.0413908
has-been	0.0412619
stout	0.0411548
"pain in the neck"	0.0406845
offstage	0.0405748
"strong force"	0.0403062
zingers	0.0401987
))
(adequacy (desc 3993.96) (sims
soundness	0.131225
suitability	0.119488
appropriateness	0.116069
solvency	0.112941
efficacy	0.112715
Constitutionality	0.110497
reliability	0.103903
viability	0.10369
reasonableness	0.101678
cost-effectiveness	0.101452
completeness	0.0990568
effectiveness	0.0988544
timeliness	0.0965421
feasibility	0.0938544
impartiality	0.0936907
truthfulness	0.093146
objectivity	0.090918
legality	0.089804
veracity	0.0866521
worthiness	0.0864248
propriety	0.0843148
validity	0.0829073
creditworthiness	0.0822684
fairness	0.0803521
accuracy	0.0800146
durability	0.0750374
transparency	0.0741841
sustainability	0.0734093
trustworthiness	0.0729485
electability	0.0722271
usefulness	0.0713909
Pe	0.0712182
efficiency	0.0704694
compatibility	0.0703868
"financial condition"	0.0675659
competence	0.0647842
authenticity	0.0641393
NPLs	0.0639535
affordability	0.0635872
monitoring	0.0618411
p/e	0.061796
profitability	0.0614103
enrolment	0.0612024
proficiency	0.0607804
competency	0.060773
sufficiency	0.0605921
availability	0.0604309
utilization	0.0582666
probity	0.0581471
qualification	0.0576909
confidentiality	0.0575921
inadequacy	0.0559042
thoroughness	0.0558891
preparedness	0.055475
rationality	0.0550923
functioning	0.0547325
fitness	0.0544721
fides	0.0543819
possiblity	0.0543114
overdraft	0.0541219
potency	0.0539311
"growth prospect"	0.0536216
"dollar amount"	0.0533934
punctuality	0.0529539
toxicity	0.0526614
finalization	0.0526073
insolvency	0.0523006
formulation	0.0521055
purity	0.0520724
"mental state"	0.0517818
legitimacy	0.0516715
hygiene	0.0508485
orderliness	0.0507852
airdrop	0.0503454
mechanization	0.0501387
consistency	0.0498719
simplification	0.0498591
divestment	0.0497526
liquidity	0.0495407
intricacy	0.0490049
"internal control"	0.048949
valuation	0.0487699
withholding	0.0487674
morality	0.0484339
stewardship	0.0482625
breadth	0.0481666
"Revised Version"	0.0481421
eligibility	0.0479134
acceptability	0.0478869
streamlining	0.0477793
"job security"	0.0470279
deductibility	0.0464943
disconnection	0.0463269
Tightening	0.046212
accessibility	0.0461494
hodgepodge	0.0449622
"balance sheet"	0.0448405
delinquency	0.0447049
sincerity	0.0445384
"due process"	0.0443624
culpability	0.0442861
disbursement	0.0440938
"current system"	0.0436813
squandering	0.0435882
specificity	0.043311
severity	0.0432913
uncovering	0.0432791
provenance	0.0430872
Jewishness	0.0428091
imposition	0.0426652
octane	0.0424911
"investment portfolio"	0.0424628
panoply	0.0424411
decency	0.0420892
"staying power"	0.0419183
one-to-one	0.041849
relevance	0.0418027
accountability	0.0417484
liberalisation	0.041572
"borrowing cost"	0.0415687
"random sample"	0.0414384
payout	0.0412582
mockery	0.0411574
"medical history"	0.0411134
sanity	0.0408911
practicality	0.0408841
computerization	0.0408622
"crazy quilt"	0.0408335
professionalism	0.0407814
recapitalization	0.0405364
interoperability	0.0405155
"cost structure"	0.0405149
believability	0.0404208
stamina	0.0402908
localization	0.0402899
comprehensiveness	0.0400771
commercialization	0.0400241
phase-out	0.040015
revamping	0.0400123
))
(ADF (desc 2062.59) (sims
LRA	0.292268
WNBF	0.255872
Zapatista	0.164753
"Resistance Army"	0.145855
"Allied Democratic Forces"	0.145661
"Rwandan Patriotic Front"	0.140164
"Tupac Amaru Revolutionary Movement"	0.122035
Zairian	0.119597
SPLA	0.118873
RRA	0.113254
Banyamulenge	0.111228
RUF	0.110437
NPA	0.105254
MKO	0.10272
Hutu	0.101541
LTTE	0.100516
MRTA	0.0998971
Maoist	0.0996114
"Abu Sayyaf"	0.0978698
Kony	0.0947192
Chechen	0.0922167
Kashmiri	0.0921109
Interahamwe	0.0915743
MILF	0.0894077
PKK	0.0836312
Kurdish	0.0829743
KNU	0.082379
"Lord's Resistance Army"	0.0816014
Contra	0.0801018
"New People's Army"	0.0785885
NDA	0.07849
Tajik	0.0767285
Thirty-three	0.0758249
Moro	0.0753389
ELN	0.0751527
mujahedeen	0.0751162
IRGC	0.0745731
KLA	0.0744171
"Moro Islamic Liberation Front"	0.0737293
"Moro National Liberation Front"	0.0737179
ragtag	0.0733555
MNLF	0.0732633
"Khmer Rouge"	0.0731987
"Polisario Front"	0.0730221
"Revolutionary United Front"	0.0723182
"Ethnic Albanian"	0.0709791
secessionist	0.0706636
GAAF	0.0703966
Tutsi	0.0697127
Kurd	0.0695719
UPDF	0.0687802
NSA	0.067443
Masood	0.0672814
Abkhazian	0.0668693
UNITA	0.0663735
"Red Army"	0.0655302
"Zapatista National Liberation Army"	0.0651617
"Liberation Army"	0.065027
"Northern Fleet"	0.06455
Islamist	0.0637992
"Royal Air Force"	0.0637074
"Kosovo Albanian"	0.0636358
"National Union for Total Independence"	0.0635684
NDF	0.0627124
FARC	0.0626409
GAM	0.062207
OPM	0.0621592
RCD	0.0613089
"Russian Navy"	0.0611792
EPR	0.060724
Forty-four	0.0605598
"Shiite Muslim"	0.0599083
"Tamil Eelam"	0.0598118
UNIFIL	0.0596938
Kosovar	0.0594107
UNAMSIL	0.0590973
ninja	0.0589401
Veerappan	0.0585019
UNTAET	0.0584604
crematorium	0.0584261
FSA	0.0580457
"Liberation Tigers of Tamil Eelam"	0.0566127
"National Union"	0.0564315
twenty-eight	0.05638
"Viet Cong"	0.055962
Hekmatyar	0.0558402
Dostum	0.0558031
EOHR	0.0553292
rustler	0.0551171
CITIC	0.0550086
Timorese	0.0549207
GEF	0.0543016
"up to @,@@@"	0.0541448
"North Vietnamese"	0.0540683
"Kosovar Albanian"	0.0526505
U.S.-British	0.0526001
bandit	0.0525631
IAF	0.0523582
MTA	0.052288
down-and-out	0.0520317
ECOMOG	0.0519249
U-boat	0.0518859
"National Democratic Alliance"	0.051445
BASF	0.0514366
UMNO	0.0510503
Aidid	0.051039
Bougainville	0.0506042
"Delta @"	0.0504283
"other seven"	0.0504237
"Sri Lankan"	0.0504065
"Indian Air Force"	0.0501388
Sandinista	0.0499981
"Liberation Tigers"	0.0498983
"Afghan Taliban"	0.0498211
Fingerhut	0.0497952
"National Thoroughbred Racing Association"	0.049723
MLS	0.0497125
stone-throwers	0.0495959
Blondie	0.0495034
"one hundred"	0.0493979
"paying back"	0.0493653
"South African National Defense Force"	0.0493043
eight-month	0.0492425
GoTo.com	0.0492384
UNFPA	0.0491138
FPL	0.0490576
secularist	0.0489517
Gauthier	0.0488652
"Fred Meyer"	0.0488453
TRC	0.0487929
spammers	0.0479496
Fatah	0.0478943
Forty-two	0.047886
SFOR	0.0474529
Fifteen	0.0472716
"Yugoslav Army"	0.0472378
earthling	0.0468586
"National Liberation Army"	0.0467012
commando	0.0466634
IFOR	0.046562
ETA	0.0464103
Marketspan	0.0463352
NATO-led	0.0458833
Bedell	0.0457568
Lt	0.0456511
Shiite	0.0456153
Renamo	0.0455089
airforce	0.0453886
Reel.com	0.0451863
Lissouba	0.044972
PUK	0.0449659
WIPO	0.044897
Amal	0.0447986
"National Guard"	0.0446909
Shays-Meehan	0.0445635
"Osman Atto"	0.0444503
Taleban	0.0444161
royalist	0.0442562
Auger	0.0441844
Hmong	0.0440336
Klan	0.0440087
saboteur	0.043962
"Cactus League"	0.0438626
WCC	0.0438235
ODA	0.0437721
Shenhua	0.043763
banditry	0.0437358
TNI	0.0436774
manoeuvre	0.0436542
"two billion"	0.0435012
locust	0.0431463
Ida	0.0430147
SANDF	0.0429212
"Export-Import Bank"	0.0429167
IDF	0.0428458
Healtheon/WebMD	0.042821
gamecock	0.0427933
seven-month	0.0427894
"air defense"	0.0427526
Eighteen	0.0427508
SLA	0.0426413
BASQUE	0.0426337
IDB	0.0426147
Stealers	0.0423139
"weather satellite"	0.0422858
Ovitz	0.0422826
Utes	0.0422307
cavalry	0.0422242
"Northern Alliance"	0.0421317
captor	0.0421084
"Southwestern Bell"	0.0420522
ten-day	0.0419572
"Revolutionary Armed Forces"	0.0418999
"North Korean"	0.0418449
Ammiano	0.041839
"South Vietnamese"	0.0418281
Sather	0.0417134
"about @@@ to @@@"	0.0416876
ATC	0.041665
"Infantry Division"	0.0415199
))
(ADHD (desc 1789.77) (sims
narcolepsy	0.225575
Parkinson's	0.216215
"cystic fibrosis"	0.210446
autism	0.206578
glaucoma	0.1987
"multiple sclerosis"	0.18836
als	0.175732
schizophrenia	0.174579
"genetic disease"	0.167155
hemophilia	0.164596
"rheumatoid arthritis"	0.155271
epilepsy	0.153046
apnea	0.151962
asthma	0.151879
arthritis	0.151091
"Parkinson's disease"	0.148956
Osteoporosis	0.14547
osteoarthritis	0.144349
"mental disorder"	0.140597
dementia	0.140472
migraine	0.136575
angina	0.13462
infertility	0.134393
lupus	0.133848
anemia	0.130604
"Lyme disease"	0.128873
"cerebral palsy"	0.125663
myeloma	0.125616
dyslexia	0.124839
diabetes	0.124776
hypertension	0.121967
leukemia	0.121405
disorder	0.119377
psoriasis	0.117888
allergy	0.117763
Lyme	0.115302
"personality disorder"	0.114689
"manic depression"	0.112333
"colon cancer"	0.111418
"anxiety disorder"	0.110168
"congestive heart failure"	0.109307
lymphoma	0.109291
"heart disease"	0.108348
ulcer	0.107517
arrhythmia	0.104354
hepatitis	0.101923
bifida	0.10102
"brain tumor"	0.100614
Alzheimer	0.0995722
"heart condition"	0.0984902
heartburn	0.0983812
syndrome	0.0962484
"West Nile"	0.0961054
"high blood pressure"	0.0953773
"skin cancer"	0.0942802
prostate	0.0928136
acne	0.0921482
"eye disease"	0.0917384
SIDS	0.0900541
impotence	0.0899182
cholesterol	0.0887794
"liver disease"	0.0885924
nearsightedness	0.0880458
"hay fever"	0.0876827
encephalitis	0.087681
weight-loss	0.0873039
"lung cancer"	0.0860199
"back pain"	0.0857469
leprosy	0.0848442
LASIK	0.0840126
"mental illness"	0.0839744
CJD	0.0836714
HIV	0.083296
Obesity	0.0827029
"cardiovascular disease"	0.082615
"muscular dystrophy"	0.0824134
incontinence	0.0823206
hemophiliac	0.0822193
flu	0.0808106
"hepatitis B"	0.0801996
reflux	0.0790182
Addiction	0.0788103
Meningitis	0.0774615
tuberculosis	0.0772586
hyperactivity	0.076198
dysfunction	0.0752949
baldness	0.0751937
"dengue fever"	0.0746254
STD	0.0744302
"heart failure"	0.0741112
"sexually transmitted disease"	0.0740922
"neurological disease"	0.0738515
fibrillation	0.0730257
Tb	0.071424
Dengue	0.0706722
abnormality	0.0705832
"heroin addiction"	0.0702165
radium	0.0698759
malaria	0.0693375
pox	0.0691792
melanoma	0.0691236
Chemo	0.0684726
"food poisoning"	0.0677127
anti-inflammatory	0.0674225
cataract	0.0659755
syphilis	0.0656523
herpes	0.0654731
"lead poisoning"	0.0653767
retardation	0.0653761
Alcoholism	0.0642347
hernia	0.063466
lifesaving	0.0633506
aneurysm	0.0609102
fertility	0.0604139
"two heads"	0.0602392
"AIDS virus"	0.060006
diarrhea	0.0598752
phobia	0.0589818
legionnaire	0.0588965
"Type @"	0.0585197
"venereal disease"	0.0584724
angiogenesis	0.0584569
insomnia	0.0584117
Psychosis	0.0581397
impairment	0.0575983
bulimia	0.0575855
coli	0.0572025
"skin disease"	0.0565466
typhoid	0.0564883
influenza	0.0558383
MGH	0.0555577
chemotherapy	0.0551754
menopause	0.0551455
"Medicare HMO"	0.0549362
"memory loss"	0.0547539
CF	0.0532227
"heroin addict"	0.0531585
"turning away"	0.0510443
dehydration	0.0508165
lesion	0.0502651
beryllium	0.0501754
doneness	0.0500678
malady	0.0498056
TPA	0.0496253
dialysis	0.0492529
"foot-and-mouth disease"	0.0492205
outpatient	0.0488395
ICU	0.0487937
anorexia	0.0487026
deformity	0.0486307
ebola	0.0484405
"blood pressure"	0.0482169
polio	0.0479109
angioplasty	0.0474574
Bedell	0.0472737
"hepatitis A"	0.0472359
inpatient	0.0463838
"morning sickness"	0.044998
"alcohol abuse"	0.0448416
leptin	0.0447601
shyness	0.0443877
carcinoma	0.044289
"plastic surgery"	0.0441914
Thirty-nine	0.0441619
inhaler	0.0441557
"drug addiction"	0.0438846
pacemaker	0.04384
botulism	0.0437602
"bipolar disorder"	0.0435924
SETI	0.0435309
Hemings	0.0434774
"alternative medicine"	0.0433419
psychotherapy	0.0427724
STDs	0.0426878
Rabies	0.0424695
AZT	0.042408
Claritin	0.0422732
salmonella	0.0421484
"more than eight"	0.042083
"Another @,@@@"	0.0420054
"heat exhaustion"	0.041792
atherosclerosis	0.0417064
bladder	0.0416785
"Over one million"	0.041504
"another @ million"	0.0414172
"About two million"	0.0413165
"mentally retarded"	0.0411371
mastectomy	0.0409542
Durwood	0.0407941
spina	0.0407804
"slide rule"	0.0407696
"cosmetic surgery"	0.0405126
chiropractic	0.0403835
lycopene	0.0402984
))
(adherence (desc 25698) (sims
commitment	0.151276
contrary	0.113941
devotion	0.104637
stance	0.102939
compliance	0.102801
willingness	0.098768
keenness	0.0937883
principle	0.0886634
determination	0.0879428
accession	0.0846362
respect	0.0836708
loyalty	0.083458
obedience	0.0824827
Implementation	0.0821887
readiness	0.0817783
"lip service"	0.0817086
opposition	0.0816622
stability	0.080492
objection	0.0803222
committment	0.0792247
signatory	0.0785221
participation	0.0784655
allegiance	0.0766717
noninterference	0.0762996
policy	0.0762212
dedication	0.0758127
equality	0.0754223
solidarity	0.075144
refusal	0.0732057
integrity	0.0728686
sovereignty	0.0724432
rejection	0.0722947
unity	0.0722657
integration	0.0697738
"foreign policy"	0.0693801
revision	0.0684865
acquiescence	0.067015
reunification	0.0668632
acceptance	0.0663595
desire	0.0662888
cooperation	0.0658724
recognition	0.0654639
observance	0.0653764
"rule of law"	0.0648088
response	0.0643952
reform	0.0643648
importance	0.0633697
reluctance	0.0627677
transparency	0.0626157
enforcement	0.0625403
honesty	0.0622841
contribution	0.0620246
resistance	0.0617103
democratization	0.061322
discipline	0.060655
disarmament	0.0599079
neutrality	0.0598916
realization	0.0595771
adjustment	0.059508
independence	0.0595078
belief	0.0590173
attitude	0.058756
Openness	0.0585062
ability	0.0573511
modification	0.0572294
"economic policy"	0.0571113
generosity	0.0570466
friendship	0.0569183
fundamental	0.0568393
coordination	0.0567529
relation	0.0564715
faithfulness	0.0562585
fairness	0.056188
preamble	0.0560185
accountability	0.055842
nonintervention	0.0556431
attention	0.0554423
assistance	0.0551264
insistence	0.055031
intention	0.0548794
Liberalization	0.0548196
ratification	0.0544818
persistence	0.0544754
strengthening	0.054446
understanding	0.0542506
professionalism	0.0542323
unwillingness	0.0541105
legitimacy	0.0540017
progress	0.0539019
monitoring	0.0534862
peace	0.0533585
continuity	0.0533566
impartiality	0.0532068
patriotism	0.0530814
universality	0.052712
hospitality	0.0526456
exception	0.0524767
involvement	0.0524107
endeavor	0.0524005
resolution	0.0523712
achievement	0.0522089
sincerity	0.0522054
"basic principle"	0.0521076
"hard work"	0.051991
establishment	0.0519559
continuation	0.0519196
condemnation	0.0519018
resumption	0.0518516
prudence	0.0517089
restraint	0.0515329
diversity	0.0514711
unification	0.051452
tolerance	0.0514364
teamwork	0.0514208
kindness	0.0510494
demilitarization	0.0509486
reversion	0.0509036
sensitivity	0.0509023
inability	0.050572
democracy	0.0504915
"human right"	0.050465
adoption	0.0503409
withdrawal	0.0502056
vigilance	0.0500171
amendment	0.0500109
governance	0.0499863
dialog	0.0499609
attachment	0.049914
reference	0.0498386
pledge	0.0497737
Declaration	0.0497614
adherent	0.0497403
"trading partner"	0.0496862
restoration	0.0496163
flexibility	0.0493728
relevance	0.0490943
backing	0.04905
conformity	0.0490175
coexistence	0.0489813
faith	0.0489028
assurance	0.0488268
mediation	0.0485156
self-reliance	0.0484651
confidence	0.0483436
seriousness	0.0483218
"legal system"	0.0482185
reconciliation	0.0481005
ideology	0.0479615
"mutual understanding"	0.0479573
alternative	0.0478562
adhesion	0.0477996
pullout	0.0477675
freedom	0.047757
introduction	0.0476974
membership	0.0476832
interpretation	0.0476499
faithful	0.047084
"quality control"	0.0470832
morality	0.0468955
engagement	0.0468169
stabilization	0.0467609
validity	0.0463553
courage	0.0462313
preservation	0.046133
perseverance	0.0459243
reaction	0.0459225
maintenance	0.0459199
doctrine	0.0457682
guideline	0.0457551
austerity	0.0456397
deterrence	0.0455871
"armed forces"	0.0455814
consent	0.0455737
candor	0.0455708
interdependence	0.0453138
Cessation	0.0452525
obstacle	0.0450922
availability	0.0450377
reliance	0.0450303
partnership	0.0450147
separation	0.0449699
competitiveness	0.0448877
credibility	0.0448132
impediment	0.0448009
follow-up	0.0446514
prosperity	0.044606
deployment	0.0443999
diplomacy	0.0442448
"human rights"	0.0442231
advancement	0.0441997
emphasis	0.0441265
appreciation	0.0436437
intervention	0.0436003
efficiency	0.04355
alteration	0.0435485
inclusion	0.0435423
Promotion	0.0433251
admission	0.0432732
pragmatism	0.0432601
improvement	0.0432428
))
(adherent (desc 8824.44) (sims
follower	0.130155
devotee	0.10848
believer	0.103843
practitioner	0.0973403
congregants	0.0800435
illegals	0.0721895
enlistee	0.0707205
admirer	0.0695039
proponent	0.0691917
Buddhist	0.069075
Ukrainians	0.0689937
registrant	0.0687336
worshipper	0.0678085
christian	0.066792
clergymen	0.0665745
worshiper	0.0661383
"church member"	0.0661034
"union member"	0.0644838
Beijingers	0.0636715
"stamp collector"	0.0636262
disciple	0.0632892
Catholic	0.0631364
Nicaraguan	0.0627582
holidaymaker	0.0624537
"card holder"	0.0623438
activist	0.0620893
theologian	0.0614194
reservist	0.0608872
"religious leader"	0.0606754
Moslem	0.0606431
sect	0.0604277
parishioner	0.0603589
businesspeople	0.0603566
tenet	0.0602067
Haitian	0.0601847
Kurds	0.0597001
centenarian	0.0590696
listener	0.059067
Hindu	0.0590114
reveler	0.0586241
migrant	0.0585172
Salvadoran	0.0578287
Filipino	0.057522
exponent	0.057274
Mormon	0.0569055
VND	0.0568261
loyalist	0.0566618
churchgoer	0.0566413
clergy	0.0557224
marcher	0.0555603
subscriber	0.0554538
"music lover"	0.0554463
"Sri Lankans"	0.0553002
enrollee	0.0552596
metical	0.0550944
Iowan	0.0549763
cardholders	0.0547869
Creationists	0.0547782
"Orthodox Christians"	0.0545024
illiterate	0.0544092
"drug user"	0.0538808
Algerian	0.0538678
Cambodian	0.0538367
Muslim	0.0537342
precept	0.0537271
job-seekers	0.0537169
traditionalist	0.0534462
faithful	0.0534331
Japanese-Americans	0.0533677
Iranian	0.053364
smoker	0.0532701
mushrooming	0.0531899
Guatemalan	0.0531728
laid-offs	0.0531283
"sports fan"	0.0528434
fundamentalist	0.0527847
cadre	0.0527508
Floridian	0.0526697
depositor	0.0524986
laborer	0.0522963
"civic leader"	0.0522203
protestor	0.0521716
intellectual	0.0521251
expatriate	0.0520243
"Uganda Shillings"	0.0519804
pilgrim	0.0519784
Taiwanese	0.0518825
backer	0.0517533
Protestant	0.0516588
sufferer	0.0516341
Cuban-Americans	0.0516128
Koreans	0.0514908
"Iranian POWs"	0.051371
non-Muslims	0.0512051
"cancer death"	0.0510804
leftist	0.0509757
Indonesian	0.050941
"union worker"	0.050881
"temporary worker"	0.0508578
emigrant	0.0508433
Mozambican	0.0506756
Californian	0.0506201
Ethiopian	0.0506108
"senior citizen"	0.0505926
rioter	0.0502547
missionary	0.0500979
Armenians	0.0500529
patron	0.0498975
Episcopalian	0.0498974
"currency unit"	0.0498102
adherence	0.0497403
elder	0.049588
"British people"	0.0495708
ethicists	0.049479
Eritrean	0.0492759
"Roman Catholic"	0.0492217
agnostic	0.0491588
sympathizer	0.0490079
followers	0.0489438
"Orthodox Jews"	0.0489334
Bosnians	0.0489096
"Kenya Shillings"	0.0488234
skeptic	0.0487795
ideologue	0.0486555
attendees	0.0486172
Alumni	0.0486156
cultist	0.0485085
Southerner	0.0483895
franchisees	0.0483075
neo-Nazis	0.0482942
"Tanzania Shillings"	0.0482255
Bangladeshi	0.048166
"Iraqi POWs"	0.0481602
cleric	0.0480967
adoptees	0.0479382
countrymen	0.0479352
Tibetans	0.0478543
fanatic	0.0477711
devotion	0.04768
settler	0.047666
permutation	0.0476049
policyholder	0.0475549
militant	0.0475536
educator	0.0475525
Sudanese	0.0475326
deserter	0.0474972
shekel	0.0473912
dissident	0.0473574
"fellow traveler"	0.0472625
"political dissident"	0.0472463
"Sunni Muslims"	0.0472341
"Southern Baptists"	0.0471832
"drug addict"	0.0469221
birder	0.0468315
Muscovite	0.0468129
Honduran	0.0467545
"Li Hongzhi"	0.0466313
asylum-seekers	0.04661
diabetic	0.0465392
partygoer	0.0464953
demonstrator	0.0464245
"market watcher"	0.0462403
"practical application"	0.0462245
enthusiast	0.0460517
avocation	0.0460103
"Albanian Kosovars"	0.0459106
"New Englander"	0.0458989
aficionados	0.045895
Singaporean	0.0458113
Quebecers	0.0456729
seminarian	0.0456335
Vietnamese	0.0455747
claimant	0.0455725
Atlantans	0.045549
radical	0.0455303
achiever	0.045529
"North Koreans"	0.0453787
bikers	0.0453776
Angolan	0.0453713
returnees	0.0453516
"Reagan Democrats"	0.0453171
readership	0.0452851
"AIDS activist"	0.0452835
Kenyan	0.0450839
offshoot	0.0450778
"South Koreans"	0.0450601
combatant	0.0450103
Nigerian	0.0448764
"health professional"	0.0448265
ex-combatants	0.0445979
Arab-Americans	0.0445873
schoolchildren	0.0445763
"social scientist"	0.0444908
anarchist	0.0444116
"place of worship"	0.0443637
exhibitor	0.0443308
hard-liner	0.0442995
angler	0.044298
cu.m	0.0442926
surfer	0.0442513
))
(adhesion (desc 2138.06) (sims
accession	0.105083
counterbalance	0.0862103
hemoglobin	0.0633565
decompression	0.0630395
admittance	0.062888
automaton	0.059294
recidivism	0.0571052
drainage	0.0544994
NTR	0.0530594
"moral hazard"	0.052621
"bank rate"	0.0523389
joining	0.0510862
remediation	0.051022
detoxification	0.0505676
photosynthesis	0.0505479
giardia	0.0504759
antifreeze	0.0504472
"green light"	0.0504196
fertility	0.0499702
cm	0.0495406
"tax income"	0.0494763
"tooth decay"	0.0490277
"key rate"	0.0489718
condensation	0.0489716
"juvenile delinquency"	0.0488225
wasting	0.0481348
"sense of smell"	0.047891
biomass	0.0476107
"subatomic particle"	0.0471779
accoutrement	0.0466435
toxicity	0.0463741
seepage	0.0463164
"air pressure"	0.0460481
depletion	0.045943
splitting	0.0458263
"bond rating"	0.0453426
signaling	0.0452831
catechism	0.0452165
salinity	0.0443993
incorporation	0.0438983
steppingstone	0.0437083
acquiescence	0.0436324
self-destruction	0.0435439
wattage	0.0433767
disintegration	0.0427948
marksmanship	0.0426735
capitulation	0.0423123
"water vapor"	0.0421382
receptivity	0.0421239
coherence	0.0420328
clotting	0.0419978
squatting	0.0419879
rowdiness	0.0418916
acidity	0.0418546
headcount	0.041513
rollovers	0.0409577
antigen	0.0407905
reentry	0.0406163
Porsches	0.0404814
homocysteine	0.040426
filigree	0.0403698
"service area"	0.0403108
usability	0.0402987
obeisance	0.0402291
weaponization	0.0402146
"water pollution"	0.0401957
"permanent normal trade relations"	0.0401842
maneuverability	0.0400891
reintegration	0.0400046
))
(adhesive (desc 7947.14) (sims
glue	0.166511
grout	0.140668
sealer	0.13556
polyurethane	0.126254
varnish	0.124956
sealant	0.122041
coating	0.120233
resin	0.119144
"specialty chemical"	0.111198
cement	0.096929
enamel	0.0966167
plastic	0.0934624
"synthetic fiber"	0.0922004
insecticide	0.0906086
polymer	0.090111
putty	0.0897684
remover	0.0891759
flooring	0.087895
preservative	0.0842025
lacquer	0.0816152
pesticide	0.0803916
wax	0.0796789
latex	0.0791997
herbicide	0.078946
tile	0.0787029
"building material"	0.0776744
chemical	0.0771247
foam	0.0732397
lubricant	0.0732356
vinyl	0.072364
primer	0.0723636
stain	0.0712894
metal	0.0710977
insulation	0.070766
refrigerant	0.0704229
solvent	0.0703256
sheeting	0.0695139
additive	0.0693861
linoleum	0.0678246
reagent	0.0676071
endoscope	0.0672167
pharmaceutical	0.0671723
"integrated circuit"	0.0657488
fertilizer	0.0656838
"machine tool"	0.0655636
mortar	0.0653502
silicone	0.0652798
REPELLENT	0.0643986
Gel	0.0641319
"household appliance"	0.0636962
pigment	0.0622879
sheathing	0.0621746
detergent	0.0609454
ceramic	0.0600829
scaffold	0.059375
fungicide	0.0589309
"food additive"	0.0584632
siding	0.0580881
cleaner	0.058074
bleach	0.057721
screw	0.0576046
appliance	0.0574429
thinner	0.057224
membrane	0.0569802
petrochemical	0.0566469
synthetic	0.0560755
"steel plate"	0.0554082
wallpaper	0.0550995
Liquid	0.05497
fiber	0.0549207
packaging	0.0548159
slime	0.0544521
stents	0.05434
fabric	0.0543127
semiconductor	0.0542051
rubber	0.0540943
"scientific method"	0.0537461
machinery	0.0537193
ink	0.0535562
starch	0.0534917
powder	0.0530114
sunscreen	0.052913
Teflon	0.0529075
plaster	0.0528876
"home appliance"	0.0526849
defoliant	0.0526631
"oil paint"	0.0524255
alloy	0.052348
"electronic equipment"	0.0516465
filler	0.0515262
"motor oil"	0.0514104
inhaler	0.0513805
"memory chip"	0.0510639
substance	0.05099
mascara	0.0508484
pulp	0.050653
air-conditioner	0.0503772
shingle	0.0503147
propellant	0.0499545
yarn	0.0498747
asbestos	0.0498444
lumber	0.0498408
cladding	0.0497502
disinfectant	0.0497157
aluminum	0.0497008
shampoo	0.0496979
"plate glass"	0.0495923
"blood cell"	0.0494234
handicraft	0.0493964
hydrocarbon	0.0491466
protein	0.0489385
paste	0.0489106
epoxy	0.0488304
newsprint	0.048731
malathion	0.0486466
crayon	0.0476097
"electric current"	0.0473631
fastener	0.0473568
tubing	0.0473298
intermediate	0.0471196
defibrillators	0.0470281
"teaching method"	0.0469776
sandpaper	0.0468828
brick	0.0468676
"scoring system"	0.0468314
"gold leaf"	0.0468162
"electrical device"	0.0467561
laminate	0.0466382
agro-technology	0.0465429
fluid	0.0465166
electronics	0.0465089
laser	0.0464764
covering	0.0464218
sawdust	0.0462789
opiate	0.0462542
"hair spray"	0.0461527
acrylic	0.0460017
chloride	0.0460004
"computer program"	0.0459262
machine-guns	0.0459206
cosmetic	0.0458733
tarp	0.0458583
Tyre	0.0458383
"liquefied petroleum gas"	0.0457305
sweetener	0.0456865
"consumer goods"	0.0456803
chisel	0.0456011
scraper	0.0455922
moisturizer	0.0455868
"computer language"	0.0454341
acid	0.0454228
"extension cord"	0.0453686
roofing	0.0453681
bandage	0.0452793
floppy	0.0450994
aerosol	0.0450081
"programming language"	0.0449817
kit	0.0448354
hose	0.0448006
chrome	0.0446328
"hearing aid"	0.0446306
munition	0.0445586
"ultraviolet light"	0.0442275
"vegetable oil"	0.0442172
"household product"	0.0441217
pellet	0.0440909
"computer technology"	0.0440878
"solar energy"	0.0438792
fiberglass	0.043868
"sewing machine"	0.0438085
antibiotic	0.0437998
asphalt	0.0437814
"optical fiber"	0.043697
gasket	0.0436619
gunk	0.043636
wallboard	0.0434677
agro-techniques	0.0434266
stethoscope	0.0433254
spatula	0.0432895
"catalytic converter"	0.0431099
ethylene	0.042899
"rocket launcher"	0.0428001
watermark	0.0427388
"growth hormone"	0.0427036
perfume	0.0427024
"chemical compound"	0.0426478
Plywood	0.0426389
"raw material"	0.0426099
hardware	0.0425439
"disk drive"	0.0425382
nematode	0.0425239
microchip	0.0424029
"fire extinguisher"	0.0423977
conditioner	0.0423194
ammonia	0.0420907
enzyme	0.042026
webbing	0.0418853
footwear	0.0418028
hyphen	0.0417962
goo	0.041758
))
(adidas (desc 6493.6) (sims
NIKE	0.236046
Reebok	0.21988
"New Balance"	0.184359
"Liz Claiborne"	0.160708
Puma	0.157002
Fila	0.136698
Fubu	0.110364
"Tommy Hilfiger"	0.104409
Levi's	0.104256
"Levi Strauss"	0.104084
"Pfizer Inc."	0.100988
"L.L Bean"	0.0959885
Budweiser	0.0943068
Titleist	0.0929575
"Brooks Brothers"	0.0915555
Denel	0.0909019
Pepsi	0.0894068
Ericsson	0.0893329
"US West"	0.0888525
"Pepsi Cola"	0.087662
"navy blue"	0.0863692
"Brown &AMP; Williamson"	0.0840334
Pfizer	0.0836369
Converse	0.0836028
"Smith &AMP; Wesson"	0.0834926
"Philip Morris"	0.0827777
Mattel	0.0813297
"R.J Reynolds"	0.0808274
Samsung	0.0803831
Mastercard	0.0799226
"Glaxo Wellcome"	0.0791199
Chanel	0.0775752
Siemens	0.0775688
Motorola	0.0773863
Levi	0.0772386
Volkswagen	0.0755457
Coca-Cola	0.075206
"high fashion"	0.0751986
"Procter &AMP; Gamble"	0.0750484
"McDonnell Douglas"	0.0749905
Kodak	0.074488
NEC	0.0736563
"Legend Group"	0.0735079
"General Motors"	0.0733499
Hasbro	0.0727306
docker	0.0717345
"Lockheed Martin"	0.0717033
DKNY	0.0713445
Nestle	0.0711465
Armani	0.070604
Daimler-Chrysler	0.0705512
"Banana Republic"	0.0698892
"American Home Products"	0.0696907
BASF	0.0691419
DaimlerChrysler	0.0690624
"Abbott Laboratories"	0.0686318
"Sony Corp."	0.0684647
Anheuser-Busch	0.06846
Novartis	0.0683666
Nokia	0.0683665
"American Express"	0.0682514
"Coca Cola"	0.0680933
MCDONALD's	0.0678798
"General Electric"	0.0677794
Pepsico	0.0677246
PolyGram	0.0675485
Alcatel	0.0674799
"Wyeth-Ayerst Laboratories"	0.0670271
Dupont	0.0669335
coke	0.0667162
"Pratt &AMP; Whitney"	0.0666553
"Tele-Communications Inc."	0.0660636
"Ford Motor Co."	0.0652995
"Blue Cross"	0.0650155
"General Motors Corp."	0.0648806
"Johnson &AMP; Johnson"	0.064701
suede	0.0644252
"Pacific Bell"	0.0640377
MCI	0.0637714
IBM	0.0636061
"Merck &AMP; Co."	0.0633886
"Ralph Lauren"	0.0633562
Xerox	0.0630149
HILFIGER	0.0628769
REVLON	0.062868
Amgen	0.0628677
Sony	0.0627745
Rolex	0.0627515
Texaco	0.0626668
Volvo	0.0626168
Mercedes-Benz	0.062269
"Calvin Klein"	0.0622231
"Boeing Co."	0.0619267
"Bud Light"	0.0619037
Daimler-Benz	0.0618481
"Publishers Clearing House"	0.0617519
Unilever	0.0615976
"Network Associates"	0.0614136
Toyota	0.0613621
"Coca-Cola Co."	0.0613077
Speedo	0.0612488
"P&AMP;G"	0.0612229
"Bristol-Myers Squibb"	0.061176
"EMC Corp."	0.0611325
"Dow Corning"	0.0611152
Monsanto	0.060727
"De Beers"	0.0607206
Citibank	0.0606381
"Cisco Systems Inc."	0.0604627
Sears	0.0602841
Cablevision	0.0597994
"Home Depot"	0.0597307
Hoechst	0.0596985
"SmithKline Beecham"	0.0591448
"Eastman Kodak"	0.0588763
Embraer	0.0588359
Philips	0.0586513
Heineken	0.0586019
"International Management Group"	0.0585666
Compaq	0.0585604
Marconi	0.0584972
Goodyear	0.0584891
"Fannie Mae"	0.0582863
Toysmart	0.0581617
Opel	0.0579865
Daewoo	0.0579695
"Pac Bell"	0.0578996
"Miller Lite"	0.0578916
plaid	0.0578698
"Pizza Hut"	0.0578248
Lexus	0.0578089
ABB	0.0577882
Rockport	0.057697
Honda	0.0576416
"Fidelity Investments"	0.057607
Enron	0.0574475
Callaway	0.0572074
"Conde Nast"	0.0569509
Fujitsu	0.056848
Toshiba	0.0567621
Renault	0.0566766
LVMH	0.0565487
Caterpillar	0.0565056
"Nippon Telegraph"	0.0561679
Ikea	0.0560381
"Mountain Dew"	0.0556476
Merck	0.0556456
Intel	0.0554894
Schering	0.0554806
Benetton	0.0554767
Bayer	0.0551046
"U S West"	0.0549465
ETrade	0.0549251
VW	0.0548504
IMG	0.0548298
"Adobe Systems"	0.0547874
Heinz	0.0547509
Unisys	0.0547103
"Monsanto Co."	0.0546762
Sega	0.0546221
"Daimlerchrysler AG"	0.0543469
slinky	0.0541721
EMI	0.054163
Halliburton	0.054049
"Merrill Lynch"	0.053986
"Mastercard International"	0.0538785
"Motorola Inc."	0.0538712
"Time Warner"	0.0537067
PETA	0.0536743
"Lucent Technologies"	0.0536265
"Bill Blass"	0.0535519
Scientific-Atlanta	0.0535015
Fedex	0.0534759
Chrysler	0.0534582
"Delphi Automotive Systems"	0.0534179
Wyeth-Ayerst	0.0534069
"UBS AG"	0.0533896
Fiat	0.0533668
"American Heart Association"	0.0533214
AXA	0.0532779
Disney	0.0531267
TCI	0.0530974
Mitsubishi	0.0530483
Bertelsmann	0.0528753
"Republican National Committee"	0.0528193
bombardier	0.0528056
BellSouth	0.0527246
Vivendi	0.0526941
EA	0.0526419
Matsushita	0.052538
"Louis Vuitton"	0.0525173
"John Hancock"	0.052434
Gillette	0.0524298
"Ford Foundation"	0.0523051
"Warner Bros"	0.0523004
"Time Warner Inc."	0.0522856
Hyundai	0.0522644
"Koch Industries"	0.052217
"Deutsche Telekom"	0.0522077
"ABC Sports"	0.0521893
))
(adieu (desc 2090.56) (sims
farewell	0.0925582
riddance	0.0791043
goodbye	0.0723214
sendoff	0.0565973
turnoff	0.0512576
"first exposure"	0.0487211
Aloha	0.0475354
remarriage	0.0466135
send-off	0.0438324
faithfulness	0.04317
feeler	0.0423442
fillip	0.0419289
"word of advice"	0.0416925
"small fortune"	0.0416462
"over six"	0.0415278
"ROSE @@%"	0.0412517
"curtain call"	0.0400662
))
(Adirondack (desc 2812.79) (sims
Appalachian	0.147802
"Rocky Mountain"	0.131281
lakeside	0.121461
Catskill	0.119872
"Sierra Nevada"	0.106954
"Blue Ridge"	0.106893
"picture postcard"	0.0858921
Eames	0.0848438
"North Georgia"	0.0814081
sierra	0.0753424
beachside	0.0749488
Ozarks	0.0738741
"Long Island"	0.0733628
manmade	0.0727269
oceanside	0.0684846
"Florida Panhandle"	0.06789
Drenica	0.0663638
GB	0.0643376
Pyrenees	0.0639776
Berkshire	0.0631458
Yorkshire	0.0619638
Uri	0.0599136
audubon	0.0591391
Decani	0.0590406
"Hudson Valley"	0.0584852
Baines	0.0558583
down-and-out	0.0556139
Breton	0.0553883
Pts	0.0553838
"East Texas"	0.055173
Nagy	0.0550713
"French Alps"	0.0544485
"North Island"	0.0538362
GA	0.0536614
"Miami Fusion"	0.0526286
Andes	0.0524841
"Israeli Arab"	0.0524217
Cornish	0.0522
oceanfront	0.0514836
Alaskan	0.0511585
Bekaa	0.050607
"Partizan Belgrade"	0.0496474
"hot spring"	0.0495729
"Nile Delta"	0.0493644
Meadows	0.0487518
Amazonian	0.048152
Hentgen	0.0477467
Carmel	0.0477047
"Shiite Muslim"	0.0472425
Yoshii	0.0466695
Mercker	0.0466029
"Los Angeles Galaxy"	0.0463584
worn	0.0462796
Spartak	0.0461794
Harnisch	0.0457108
Piedmont	0.0456504
gamecock	0.0453596
UAB	0.0453172
"Putnam County"	0.0450696
Jansher	0.0448526
Kagera	0.044706
forgotten	0.0446375
Illini	0.0445148
Greenbrier	0.0442955
Hampton	0.0441566
Shawnee	0.0439056
"Connecticut River"	0.0438039
Huangshan	0.0435078
beachfront	0.0434843
Trachsel	0.0434486
Supersonics	0.0434219
Arctic	0.0434163
"Fighting Irish"	0.0434014
Moehler	0.0433782
Terps	0.043364
Pavano	0.0433483
Arrojo	0.0431394
Montenegrin	0.0430897
riverfront	0.0430761
Adirondacks	0.0427461
Hawkeyes	0.0427373
"rift valley"	0.0427109
Radke	0.0425064
Burba	0.0420976
Sele	0.0420187
"Westchester County"	0.0414029
Maasai	0.0413557
coding	0.0413365
Belacevac	0.0412788
Tomko	0.0411762
"Nile River"	0.0411619
Tigray	0.0409193
Batticaloa	0.0408213
Iona	0.0408144
hilltop	0.0407638
commodore	0.0406727
Westlake	0.040614
riverside	0.0405737
Stowe	0.0405716
chaise	0.0405032
Huskers	0.0401777
Stephenville	0.0401362
bearcat	0.0400247
"Calgary Flames"	0.0400057
"nearly one million"	0.0400022
))
(Adirondacks (desc 5788.86) (sims
"Rocky Mountains"	0.0915858
Berkshires	0.0901807
"Sierra Nevada"	0.0810616
Catskills	0.0753558
Andes	0.0722477
Appalachia	0.0709869
Appalachians	0.0693159
Alaska	0.0685619
Alps	0.0637584
Pyrenees	0.060477
Himalayas	0.0591913
"White Mountains"	0.0590292
Piedmont	0.058024
Maine	0.0558653
"British Columbia"	0.0549792
Patagonia	0.0545301
"San Fernando Valley"	0.0526908
"Mississippi Delta"	0.0523743
Bekaa	0.0518018
sierra	0.0516641
Everglades	0.0514663
"East Texas"	0.0513493
"Westchester County"	0.0513192
"French Alps"	0.0505206
Carolinas	0.0500438
Drenica	0.0500359
"Hudson Valley"	0.049772
"Bay Bridge"	0.0497174
Maryland	0.0492786
Tuscany	0.0492304
Montana	0.0490627
Yellowstone	0.0486545
"Big Sur"	0.0485701
Rockies	0.0484851
"Great Lakes"	0.0482718
bayou	0.0480837
"Central Park"	0.0478413
Skaneateles	0.0476243
"Taklimakan Desert"	0.0472352
savanna	0.0471639
Vermont	0.0471166
"tropical rain forest"	0.0471025
Westchester	0.0470625
"Flagler County"	0.0469869
"Cape Cod"	0.0458859
"Ohio Valley"	0.0456822
Sedona	0.0454168
wilderness	0.0448858
"New York State"	0.0448782
Kyushu	0.0448478
"Italian Alps"	0.0442111
"Yellowstone National Park"	0.0441458
"mountain range"	0.0441254
"Great Plains"	0.0433827
"Statue of Liberty"	0.0429973
Ozarks	0.0428906
"horseshoe crab"	0.0428008
Adirondack	0.0427461
Yosemite	0.0427135
"Palm Beach"	0.042694
"Huntington Beach"	0.0423937
"New Mexico"	0.0423197
"Rhode Island"	0.0417716
"Pearl River Delta"	0.0417284
Wyoming	0.0414769
"Niagara Falls"	0.0414073
Hamptons	0.0414046
"Pacific Northwest"	0.0412911
"Tennessee Valley"	0.0411632
"Battery Park City"	0.041117
Clifton	0.0408635
Newfoundland	0.0404099
"West Texas"	0.0402771
Idaho	0.0402683
"Palm Springs"	0.0402501
))
(adjective (desc 8921.47) (sims
verb	0.123071
noun	0.109011
superlative	0.0979024
phrase	0.0940837
expletive	0.07543
nickname	0.0717367
cliche	0.0710048
moniker	0.0700704
metaphor	0.0683908
trait	0.0672785
"four-letter word"	0.0659389
euphemism	0.0626418
synonym	0.0626062
epithet	0.0620564
remedy	0.0613492
"rule of thumb"	0.0613095
"break of serve"	0.0606507
buzzword	0.0603782
"two words"	0.0601169
gimmick	0.0597101
axiom	0.0595111
pseudonym	0.059426
"piece of music"	0.0591807
intangible	0.0578798
things	0.0576999
description	0.0566422
terminology	0.0565605
sobriquet	0.0564744
amenity	0.0557746
"heavy hitter"	0.0556244
caveat	0.055444
"last name"	0.0549698
gook	0.0548051
"amino acid"	0.05478
"one word"	0.0544373
abbreviation	0.0543875
analogy	0.0542469
firsts	0.0541069
criteria	0.0537909
"three words"	0.0530342
slogan	0.0526579
stereotype	0.0525962
major-leaguers	0.0517478
epigram	0.0509247
alias	0.0508587
generalization	0.0506621
"agenda item"	0.0501397
gizmo	0.0498243
"risk factor"	0.0495527
gripe	0.049548
enticement	0.0494549
keyword	0.0493784
obscenity	0.0493628
appellation	0.0491184
ingredient	0.0489376
expression	0.048923
stinker	0.0488394
"double standard"	0.0482816
oxymoron	0.0481844
one-liner	0.0481663
reasoning	0.0477786
blather	0.0477579
perk	0.0477533
embellishment	0.0476308
anecdote	0.0475916
"line of work"	0.0473785
locale	0.0473783
antibiotic	0.04737
"musical group"	0.0467601
yardstick	0.0466728
indignity	0.0465274
scenario	0.0462399
coinage	0.0462257
alibi	0.0462169
compliment	0.045953
nonsense	0.0459397
variable	0.0459039
password	0.0458621
tidbit	0.0458348
"first name"	0.0458009
"coat of paint"	0.045753
"vacation spot"	0.0457328
aphorism	0.0455111
syllable	0.0454533
"special effect"	0.0453991
greats	0.0453183
trick	0.0452141
pun	0.0450645
"sound bite"	0.0447545
Zing	0.0446344
celebs	0.0444243
preconception	0.0443274
QBs	0.0443244
proverb	0.0443001
baloney	0.0442961
"cast of characters"	0.0442817
"rating system"	0.0439995
"word of advice"	0.04396
accolade	0.0439161
concoction	0.0438359
"No. @s"	0.0438344
"Good Book"	0.0438275
old-timer	0.0437589
"role player"	0.0437134
vulgarity	0.0435406
Truism	0.0434371
catharsis	0.0433905
pesticide	0.0433008
"punch line"	0.0432458
hyphen	0.0432415
"family name"	0.0431553
acronym	0.0430712
curmudgeon	0.0430556
"body part"	0.0427857
come-on	0.0426969
platitude	0.0426688
"social event"	0.0425836
"frame of mind"	0.0425782
ifs	0.0423305
assumption	0.0423159
"plot line"	0.0422988
impulse	0.0422338
"loose end"	0.0419654
panelist	0.0418801
parameter	0.0418436
antioxidant	0.0417915
"extracurricular activity"	0.0417065
"electric current"	0.0416705
idiot	0.0415654
mantra	0.0414799
timeouts	0.0414402
precaution	0.0414322
iteration	0.0413296
sedative	0.0412711
"piece of furniture"	0.0412538
methodology	0.0412186
wisecrack	0.0411415
ploy	0.041001
"computer language"	0.0409568
"memory chip"	0.0409084
justification	0.0408981
three-pointers	0.0408362
pitfall	0.0408125
freebies	0.0406625
quarterfinalists	0.0406368
"measuring stick"	0.0405997
insecticide	0.0405405
verity	0.0405264
ballplayer	0.0404619
slang	0.0404302
seasoning	0.0404255
frontrunners	0.0404026
rhetoric	0.0403921
distraction	0.0403502
ISPs	0.0402655
"service break"	0.040256
pluses	0.0402469
cakewalk	0.040196
instinct	0.04019
slur	0.040125
condiment	0.0401014
"scoring system"	0.0400816
disclaimer	0.0400603
"magic bullet"	0.0400215
errand	0.0400138
))
(adjournment (desc 4299.78) (sims
mistrial	0.12468
continuance	0.124242
recess	0.11803
postponement	0.112976
"summary judgment"	0.106391
"stay of execution"	0.0938906
dissolution	0.0905299
convening	0.0862634
re-opening	0.0792719
rehearing	0.0782669
hiatus	0.0759514
"starting time"	0.0751242
shutdown	0.0743636
rescheduling	0.0729528
reinstatement	0.0727553
disbanding	0.0714999
arraignment	0.0714109
reopening	0.0710877
commencement	0.0709197
closure	0.0697888
walkout	0.0682165
expiration	0.0672951
"Foreign Affairs Committee"	0.0672021
closedown	0.0664944
expiry	0.0660418
cancellation	0.0648013
convocation	0.0646447
liftoff	0.0642902
"presiding officer"	0.0636675
"closed session"	0.0630751
retrial	0.0627157
reprieve	0.0624106
disbarment	0.0613569
Dismissal	0.0604575
resumption	0.0604405
reconsideration	0.0601575
termination	0.0595457
finalization	0.0582482
deferral	0.0582031
closing	0.0574636
pullout	0.0568533
eviction	0.0561684
"ad blitz"	0.0561525
initiation	0.0559821
"rate hike"	0.0552575
"work stoppage"	0.0536335
phase-out	0.0527403
renewal	0.0524263
"hunger strike"	0.0518938
cutoff	0.0515272
rollout	0.0505194
moratorium	0.0501083
enactment	0.0494884
demotion	0.0493352
renegotiation	0.0492169
"leave of absence"	0.0488055
revocation	0.0486095
forfeiture	0.048228
"arrival time"	0.0472731
ratification	0.0470342
tipoff	0.0467692
C-section	0.046745
"name change"	0.0466711
"fifth week"	0.0465451
reexamination	0.0464921
Presidium	0.0463451
receivership	0.0455557
injunction	0.0455305
wrapup	0.0454116
deferment	0.0453262
transcript	0.0452863
repayment	0.0450098
swearing-in	0.0448494
soaking	0.0448259
"first two days"	0.0447455
abolition	0.0443239
"rate rise"	0.0443099
time-out	0.0441628
reorganization	0.0440375
walk-through	0.0440124
"final judgment"	0.0439996
declassification	0.0436122
lifespan	0.0435786
sit-in	0.0435165
pre-Christmas	0.0434789
blackout	0.0433347
repatriation	0.0432711
"General Committee"	0.0429216
two-digit	0.0428605
"standing committee"	0.0428005
truce	0.0427361
Cessation	0.0427185
exoneration	0.0423468
dispensation	0.0422987
UML	0.0422941
hospitalization	0.0422242
absolution	0.0419928
lowering	0.0418235
hosting	0.0417903
"Defense William Cohen"	0.0415204
lifting	0.0414202
"eighth day"	0.0412962
"out-of-court settlement"	0.0412412
"military drill"	0.0412003
"practical application"	0.041169
"leap year"	0.0410136
stoppage	0.0410068
relocation	0.0409175
interruption	0.0407516
phaseout	0.0407101
activation	0.0406734
concurrence	0.0405708
pullback	0.0405591
reassignment	0.0403771
"shelf life"	0.0402626
arbitration	0.0401977
"transition period"	0.0401936
fast-track	0.0401809
"finding of fact"	0.0401439
amputation	0.0400379
))
(adjudication (desc 3246.16) (sims
"final judgment"	0.0897006
"eminent domain"	0.0871992
"legislative council"	0.0710387
arbitration	0.0622244
"Provisional Legislative Council"	0.0590183
"Holy Spirit"	0.0575835
nominating	0.0575827
"Court of Final Appeal"	0.0569712
"Hong Kong SAR"	0.0568333
"Selection Committee"	0.0531429
"information gathering"	0.0515521
MSAR	0.0506885
drafting	0.0505099
"Sino-British Joint Declaration"	0.050187
"marketing cost"	0.049238
"Basic Law"	0.048526
corroboration	0.0481469
self-determination	0.0481431
verification	0.0472855
"Internal Affairs"	0.0471404
self-government	0.0471308
tabulation	0.0460046
appraisal	0.0457855
fillip	0.0450801
clemency	0.0447463
lawmaking	0.0445624
"airplane ticket"	0.0442934
authentication	0.0441245
"maritime law"	0.0438635
"Macao SAR"	0.0437007
prognostication	0.0436832
disinvestment	0.0436789
localization	0.0436403
"Nationality Law"	0.043535
namelist	0.0426875
photosynthesis	0.042573
"collective bargaining"	0.0424763
judgement	0.042363
plc	0.0423426
"executive council"	0.0418367
pasteurization	0.0413948
diligence	0.0411327
receivership	0.0409142
declassification	0.0409141
procreation	0.0407304
harmonization	0.0405727
winnowing	0.0405234
sterilization	0.0403687
disbursement	0.0402367
"Immigration Department"	0.0400616
))
(adjunct (desc 4462.76) (sims
"safety valve"	0.0698033
corrective	0.0642156
counterweight	0.0617278
guidepost	0.0597643
steppingstone	0.0575139
obstructionist	0.0554064
sidelight	0.0532388
antidote	0.051
aversion	0.0494389
lead-in	0.0492425
gatekeeper	0.0487119
bookend	0.048573
fillip	0.0483311
impediment	0.0483069
appendage	0.0475381
precursor	0.0468175
"reference point"	0.0463135
add-on	0.0460587
"stepping stone"	0.0451979
coda	0.044994
"sounding board"	0.0449039
singularity	0.0446173
bulwark	0.0436494
counterpoint	0.0433078
"takeover target"	0.0427137
"object lesson"	0.04244
guarantor	0.0420739
insulator	0.0417151
"test case"	0.0408948
"rubber stamp"	0.0402441
"traffic cop"	0.040115
"front man"	0.0400521
))
(adjuster (desc 2170.61) (sims
actuary	0.126492
"aerospace engineer"	0.087823
"air force officer"	0.085125
appraiser	0.0820218
"civil engineer"	0.0802705
"insurance agent"	0.0742464
"electrical engineer"	0.0740189
Aegon	0.0730073
"account executive"	0.0696211
"intelligence analyst"	0.0663739
cabinetmaker	0.0634549
"mechanical engineer"	0.062454
"insurance broker"	0.0624323
"Bill Skate"	0.0619992
pathologist	0.0612722
auditor	0.0608567
radiologist	0.0604034
"film producer"	0.0599231
excavator	0.0590164
"real estate agent"	0.0589298
saleswoman	0.0579518
installer	0.0576151
obstetrician	0.057346
salesperson	0.056851
"certified public accountant"	0.0567204
roofer	0.0556037
"foreign officials"	0.0553763
landscaper	0.0553548
"staff sergeant"	0.0548796
astrophysicist	0.0548396
"English teacher"	0.054694
"medical practitioner"	0.0546365
Vance	0.0545353
assessor	0.0543395
"lieutenant colonel"	0.0543383
"union representative"	0.0540734
Azad	0.0539709
geophysicist	0.053839
"physical therapist"	0.0537406
"investment adviser"	0.0535993
"power unit"	0.0530001
Allianz	0.0528763
"school teacher"	0.0528166
Allergist	0.0526695
"American International Group"	0.0526669
"order form"	0.0522991
"math teacher"	0.0522193
"David Hale"	0.0521906
"management consultant"	0.0519641
fireman	0.0519327
"health professional"	0.0518448
"altar boy"	0.0517581
optometrist	0.0516421
"real estate broker"	0.0515052
pharmacist	0.0514202
stockbroker	0.051196
Grahame	0.0507195
"private investigator"	0.0506985
"social worker"	0.050366
"security consultant"	0.050363
"registered nurse"	0.0501186
"point system"	0.049917
toxicologist	0.0497153
restorer	0.0495902
"bus driver"	0.0493966
paramedic	0.0493243
geologist	0.0493101
"house painter"	0.0492967
"army engineer"	0.0489523
agronomist	0.0489214
Generali	0.0488485
Kerasiotes	0.0487734
shopkeeper	0.0487717
injector	0.0484717
worksheet	0.0483939
"enlisted man"	0.0481378
Luong	0.0480967
Crocker	0.0479858
"Internet Service Providers"	0.0479131
infantryman	0.0478528
veterinarian	0.0478219
gook	0.0477755
"medical specialist"	0.0475812
"government officials"	0.0473383
CPA	0.0470588
snakehead	0.047007
"school principal"	0.0467767
salesmen	0.0467697
flack	0.0465312
plunger	0.0464224
Granik	0.0463074
eighth-grader	0.0461834
"shop assistant"	0.0461826
digger	0.0461562
LeBlanc	0.0461288
"economic expert"	0.0458783
NiSource	0.0458002
"music teacher"	0.0456546
copywriter	0.0454197
Tomba	0.0454036
"Aetna Inc."	0.0453693
"beauty shop"	0.0453467
electrician	0.0452488
forester	0.0452203
neurologist	0.0451846
Podesta	0.0451037
Taufik	0.0450146
"press agent"	0.0448798
SBA	0.0447662
"fuel system"	0.0447333
"Edwin Edwards"	0.0444649
"Navy Seal"	0.0444314
Malan	0.0444234
"police captain"	0.0442771
CPSC	0.0442098
archivist	0.043872
physiologist	0.0438399
"school superintendent"	0.0437179
"undercover agent"	0.0436856
"Minister Shlomo Ben-Ami"	0.0436721
statistician	0.0435909
policewoman	0.043495
"law student"	0.0434597
"defense lawyers"	0.0434146
"special agent"	0.0434051
Pape	0.043394
octogenarian	0.0432167
pediatrician	0.0431103
seamstress	0.0430769
clergyman	0.0429903
"theater ticket"	0.0429789
"trade publication"	0.0428758
exec	0.0428287
repairman	0.042795
Kato	0.0427592
Sumaye	0.0427406
Pustovoitenko	0.0427012
"heart surgeon"	0.0426953
"computer expert"	0.0425296
AXA	0.0423226
Seaman	0.0423147
"business executive"	0.0423027
medic	0.0422307
bookkeeper	0.0421662
paralegal	0.0420993
Moceanu	0.0419629
"medical examiner"	0.0418056
"Eric Holder"	0.0417996
anesthesiologist	0.0417831
grocer	0.0417594
AMP	0.0417267
urologist	0.0416724
gynecologist	0.0414325
epidemiologist	0.0413977
Gangelhoff	0.0413761
"right-handed pitcher"	0.041354
Harris-Lewis	0.0413305
liquidator	0.0413187
"intelligence officer"	0.0412966
bridegroom	0.0412189
zoologist	0.0411953
"naval officer"	0.0411844
horticulturist	0.0411728
ecologist	0.0411084
"general practitioner"	0.0410863
"campaign official"	0.0410377
cosmologist	0.0410204
internist	0.0408983
kayaker	0.0408804
"car dealer"	0.040857
draftsman	0.0408027
"eagle scout"	0.0408023
"network administrator"	0.0407501
Guterres	0.0406862
steelworker	0.0406684
Gutman	0.0406323
Shaffer	0.0406233
oncologist	0.0406219
Forrester	0.0406064
Singson	0.0405497
Postmaster	0.0405199
airman	0.0405123
"DOUG JONES"	0.0405073
Olsen	0.0403489
"Chuck McElroy"	0.0402746
Shareh	0.0402577
Caddell	0.0402148
Ikeda	0.0401885
whistleblowers	0.0401865
OSHA	0.0400815
chemist	0.0400067
))
(adjustment (desc 56719.4) (sims
readjustment	0.198337
change	0.160309
reduction	0.152144
revision	0.146392
improvement	0.141798
reform	0.131337
Liberalization	0.126551
increase	0.118428
shift	0.117234
consolidation	0.115968
hike	0.115328
Correction	0.114441
fluctuation	0.113328
expansion	0.112128
stabilization	0.111117
growth	0.11094
reorganization	0.10816
alteration	0.10604
development	0.105987
transformation	0.10322
cutback	0.103052
recovery	0.102904
measure	0.102712
deregulation	0.102527
cut	0.1025
flexibility	0.10209
restructuring	0.101786
modification	0.101754
stability	0.0979038
modernization	0.0970248
transition	0.0969274
Privatization	0.0953566
depreciation	0.0945497
decline	0.0940712
overhaul	0.09397
Implementation	0.0937608
rise	0.0935822
integration	0.0933609
"spending cut"	0.0921775
concession	0.0918839
disruption	0.0916113
slowdown	0.0911938
volatility	0.0893148
decrease	0.089001
innovation	0.0887858
enhancement	0.0880712
"price increase"	0.0879819
policy	0.0878085
intervention	0.0877045
renovation	0.0876498
boost	0.0862985
repair	0.0861402
incentive	0.0860346
enlargement	0.0858153
payment	0.0856485
financing	0.085515
devaluation	0.0848982
removal	0.0841477
downturn	0.0839067
progress	0.0834932
stimulus	0.0833769
diversification	0.0830121
restoration	0.0828649
maintenance	0.0828524
"cost cutting"	0.0828022
deterioration	0.0827517
requirement	0.0826832
harmonization	0.0824768
procedure	0.0823104
compromise	0.0822813
Promotion	0.0822633
"budget cut"	0.0821231
difference	0.0821073
problem	0.0817772
exemption	0.0815471
mechanism	0.08152
investment	0.0814562
upgrade	0.0813996
layoff	0.0812416
rehabilitation	0.0807903
introduction	0.0802581
step	0.0802174
switch	0.0801497
coordination	0.0801351
instability	0.0794721
reversal	0.0793021
retrenchment	0.0792786
regulation	0.0792771
"tax cut"	0.0792001
cancellation	0.0791915
globalization	0.0789953
management	0.0788293
Tightening	0.0787588
restriction	0.0786742
reconstruction	0.0786717
"tax increase"	0.0786695
"policy change"	0.0785307
action	0.0785224
approach	0.0784892
withdrawal	0.0784607
factor	0.0784078
transfer	0.078297
subsidy	0.0782652
difficulty	0.0782286
acceleration	0.0781994
protection	0.0780362
control	0.0779377
advancement	0.0777285
enforcement	0.0777145
trend	0.0776682
"wage increase"	0.0775978
increment	0.0775029
closure	0.0773902
rationalization	0.0773853
cooperation	0.0773576
strategy	0.0772183
elimination	0.0771738
allocation	0.0771628
realignment	0.0770553
easing	0.0766017
inflation	0.0765771
solution	0.0765473
efficiency	0.0765189
impact	0.0761689
"land reform"	0.0760015
saving	0.0758118
tax	0.075784
"pay raise"	0.075578
evaluation	0.0755142
relief	0.0754967
spending	0.0753329
transparency	0.075326
commitment	0.0749957
training	0.0749539
"rapid growth"	0.0748483
"market reform"	0.0746688
assistance	0.0744321
disclosure	0.0743698
shortage	0.0741952
system	0.0741849
preparation	0.0741505
discipline	0.0741484
legislation	0.0740875
testing	0.0739815
downsizing	0.0739573
"tax break"	0.0738413
Openness	0.0737979
decision	0.0737441
reshuffle	0.0737269
initiative	0.073612
extension	0.0735997
breakdown	0.0735326
delay	0.073484
challenge	0.0734557
cost	0.0734437
"job cut"	0.0734147
arrangement	0.0734107
fundamental	0.0730995
funding	0.0729996
upgrading	0.072944
effort	0.0729143
weakness	0.0727016
strengthening	0.0726705
turnaround	0.0726471
balance	0.072616
amendment	0.0726148
addition	0.0725477
provision	0.0725414
gain	0.072474
process	0.0723402
"growth rate"	0.0723086
surge	0.0722546
inspection	0.0722095
conversion	0.0721354
renewal	0.0720468
restraint	0.0719155
planning	0.071802
employment	0.0717537
deployment	0.0717271
governance	0.0717082
compensation	0.0716878
imbalance	0.0716745
"rate increase"	0.0715565
slump	0.0715531
"interest rate"	0.0714944
decentralization	0.0714555
demand	0.0712552
oversight	0.0712036
constraint	0.0710583
infrastructure	0.0709655
participation	0.0709458
structure	0.070917
treatment	0.0709008
plunge	0.0708762
lowering	0.0708386
assessment	0.0708184
situation	0.0707223
response	0.0704337
program	0.0703917
"economic policy"	0.0703887
))
(Adkins (desc 1846.09) (sims
Loroupe	0.117595
Sorensen	0.11037
Henning	0.109739
Klim	0.108972
DeFrantz	0.10841
Boardman	0.107402
Meissner	0.106478
Hickman	0.106384
Berenson	0.106212
Jeffers	0.106061
Sautin	0.104877
Jayasinghe	0.104456
Kirkpatrick	0.104452
Lowry	0.103388
Rossotti	0.102703
Rossi	0.102652
Devers	0.102129
Boldon	0.101925
Mendez	0.100948
Gutierrez	0.0987955
Briscoe	0.0987311
Joyner-Kersee	0.0969806
Arron	0.0965306
Fiorina	0.0961342
Fredericks	0.0960863
O'Sullivan	0.0951369
"Brooke Bennett"	0.0940031
Knapp	0.0925485
Nakamura	0.0919074
Bronson	0.0914296
Szabo	0.0912255
bock	0.0907866
Solis	0.0907183
Inman	0.0905256
Kagwe	0.0904104
Rivlin	0.0902274
Ono	0.0901892
Pearce	0.0893419
Britton	0.0891531
Surin	0.0889907
Seizinger	0.0879286
Pfeiffer	0.0873903
Molinari	0.0872507
Goetschl	0.0869598
Popov	0.0869194
Farber	0.0865977
Krayzelburg	0.086393
Ceballos	0.086239
Jensen	0.0857456
Arbour	0.0855851
Mucha	0.085566
Vasquez	0.0854766
Kirby	0.0847569
Markovic	0.0845727
Laudrup	0.0845364
Geiger	0.0842662
Hartley	0.0838756
Sheehan	0.0838022
Maddox	0.0837877
Kusama	0.0836881
Meissnitzer	0.0836449
Mikhailov	0.0831983
Khannouchi	0.08299
Ottey	0.0814126
McDonnell	0.0811749
Goldin	0.081126
Sheehy	0.0810148
Longo	0.0809978
Lieberthal	0.0804445
Vogel	0.0802293
Godfrey	0.0800098
Xiong	0.0797647
Townsend	0.0792552
Shriver	0.0791746
Dragila	0.0790312
Brazile	0.078688
Swenson	0.0786796
Pape	0.0784635
O'Connell	0.0783529
Grunwald	0.0783467
Betts	0.0781471
Hagen	0.0780686
Rowe	0.077875
Rosenthal	0.077824
Rahal	0.0777969
Sommer	0.0775675
Finkel	0.0775615
Barad	0.0772493
Farrell	0.0771983
Hecht	0.0770909
Atler	0.0770478
Marineau	0.0768187
Ochoa	0.0765899
Tuttle	0.0765895
Duffy	0.0765799
Donohue	0.0764612
Bassett	0.0762728
Bisek	0.0762656
Reiter	0.0760031
Schmitt	0.0759819
Najera	0.0759608
Ricci	0.0759582
Sills	0.0757487
Pippig	0.0757133
"Regina Jacobs"	0.0755987
Marquez	0.0755279
McCray	0.0754679
Ivey	0.0754516
Jobe	0.0753632
Menchu	0.075258
Aamodt	0.0751958
Butyrskaya	0.0751114
Calcavecchia	0.0749232
Hendrickson	0.0748618
McKnight	0.0746941
Pascal	0.0744908
Jaffe	0.0744376
Stackhouse	0.0743945
Perec	0.0742164
Currier	0.0741346
"Chen Hua"	0.074058
Contreras	0.0740108
Monahan	0.0739051
Barrett	0.0737383
Tharp	0.0737351
Suarez	0.0735404
Doohan	0.0735286
Neff	0.073522
STALEY	0.0734295
"El Guerrouj"	0.0732938
Streep	0.0732818
Ackerman	0.0731676
Brenner	0.0729007
Trepagnier	0.0728591
Fleischer	0.0727489
Trammell	0.0725762
Lockwood	0.0725362
Baum	0.072514
Kern	0.0722745
Weiner	0.0721847
Zucker	0.0721814
Harman	0.0721356
Maloney	0.0719669
Henley	0.0719212
Bierhoff	0.0717858
McInnis	0.0715946
"Li Xuemei"	0.0714866
Bratton	0.0713712
Mullin	0.071331
Klinsmann	0.0712595
Woodard	0.0711731
Hyman	0.0710485
Stadler	0.0709878
Irvan	0.0708113
Alou	0.0708048
Bragg	0.0707368
Rubinstein	0.0707055
Janssen	0.0705924
Turgeon	0.0705356
Barlow	0.0704894
"Li Jiajun"	0.0704703
Weis	0.0703595
LeFave	0.0703148
Dickerson	0.0701841
Heyns	0.0701528
Tanaka	0.0701153
Drummond	0.0700988
hodgson	0.0700846
Tong	0.0700806
Weil	0.0700753
Alves	0.0700515
Capel	0.0700333
Wasserstein	0.0700228
Kipketer	0.0700083
Keenan	0.0699937
Gebrselassie	0.0697827
Kjus	0.0697254
Westbrook	0.0696754
Troussier	0.069531
Garrity	0.0695087
Northup	0.0693331
Coulthard	0.0692623
Merritt	0.06926
Dowd	0.0691744
Prewitt	0.0691315
Cavanaugh	0.0690888
Rothenberg	0.0688963
Fizer	0.0687104
Mapes	0.0686552
Haines	0.0685893
Freedman	0.0685507
Bartoli	0.0683667
Koop	0.0683559
Croshere	0.0683404
Fuentes	0.0683372
Copeland	0.0683254
Mckee	0.0681395
Quigley	0.0681394
Sainz	0.068118
Braswell	0.0680513
))
(ADL (desc 1544.26) (sims
NLRB	0.155842
"Anti-Defamation League"	0.139226
NRC	0.126357
BSA	0.125989
BLM	0.119884
TDB	0.119315
CFTC	0.115803
ACLU	0.114711
NHTSA	0.112313
ATC	0.111482
IEC	0.11135
"Russian Space Agency"	0.110826
RNC	0.110787
SEPA	0.110775
"American Jewish Committee"	0.108113
Nepa	0.108065
DPP	0.106967
"Urban League"	0.106392
USAID	0.10586
"House Budget Committee"	0.105317
SFA	0.10505
"Housing Authority"	0.104242
"Education Department"	0.103219
ILO	0.102919
DEP	0.102892
CSE	0.102488
UNIDO	0.101866
INEC	0.101679
NAACP	0.100986
AARP	0.098638
NTSB	0.0979511
SBA	0.0976096
NTRA	0.0974199
CEC	0.0973434
CIRC	0.0971625
"Sierra Club"	0.0971149
CBI	0.0969228
CNTA	0.0967447
EEOC	0.0957691
NARAL	0.0951931
Comelec	0.0950123
PUC	0.094895
CDC	0.0946879
"Agriculture Ministry"	0.0937419
NEA	0.0937102
Wada	0.0926043
OSHA	0.092053
AmCham	0.0919836
WEF	0.0918785
OCA	0.0917928
NSC	0.0913897
"Census Bureau"	0.0912695
"Humane Society"	0.0906148
Massport	0.0902431
"Fish and Wildlife Service"	0.0902403
KPA	0.0902369
CBO	0.0894522
SFC	0.0888632
ama	0.0888436
Moakley	0.0888348
Caritas	0.0887824
CAAC	0.0885891
FEMA	0.0884834
PATA	0.0881568
Garcetti	0.0873453
NIH	0.0868683
PNP	0.0867736
"Rules Committee"	0.0867357
ITU	0.0866681
DLC	0.0865695
IEA	0.0861552
Weldon	0.0857809
"Banking Committee"	0.0855631
Histadrut	0.0855429
Greenpeace	0.085481
WIPO	0.0853999
IPU	0.0853825
"Culture Ministry"	0.0851212
Kimbell	0.0848427
EBRD	0.0848003
"Truth Commission"	0.0846741
SDPC	0.0846556
"House GOP"	0.0845451
FTC	0.0844767
HCFA	0.0844567
Marketspan	0.0843654
"Forest Service"	0.084131
APA	0.0838178
JMC	0.08377
AFL-CIO	0.0836951
"U.S. Environmental Protection Agency"	0.0836319
NCI	0.0834125
UNAIDS	0.0832954
"Commerce Committee"	0.0830306
AEC	0.0828131
"Atomic Energy Commission"	0.082638
"U.S. Defense Department"	0.0826195
"Federal Emergency Management Agency"	0.0826149
"American Lung Association"	0.0824271
ICA	0.0822936
Yazdi	0.081818
"United Way"	0.0816839
NDP	0.0812501
DFG	0.0809989
SAFY	0.0809856
CMAG	0.080861
"Christian Coalition"	0.0807051
UNFPA	0.0805381
SSB	0.0805049
AOC	0.0803518
E.U	0.080176
UNC	0.0799749
"U.S. Census Bureau"	0.0799683
Spoleto	0.0799048
Vollebaek	0.0797581
CSA	0.0791256
USTA	0.0789582
UNESCO	0.0788051
DMV	0.078403
"Southern Poverty Law Center"	0.0782563
DNC	0.0782426
PBSI	0.0782343
UNHCR	0.0781901
"Small Business Administration"	0.0781217
"Senate Budget Committee"	0.0780103
"Amnesty International"	0.0778161
"National Economic Council"	0.0776076
WFP	0.0776045
NSA	0.0775116
MPAA	0.0772654
Hallinan	0.0772602
Lilco	0.0771807
UNIP	0.0770348
CCF	0.0762895
PNC	0.0762582
MTA	0.076152
MSF	0.0760725
DSE	0.0759637
MACROMEDIA	0.0754552
"U.N. World Food Program"	0.0754044
"Judicial Watch"	0.0752193
"Republican National Committee"	0.0750801
Edelman	0.0750657
"US State Department"	0.0749157
FDIC	0.074865
USOC	0.0748269
"House International Relations Committee"	0.074792
Satcher	0.0747646
Lucasfilm	0.0747318
UNICEF	0.0746828
CalPERS	0.0742407
"National Hurricane Center"	0.0741634
ACFTU	0.0741014
DMA	0.0737407
DNR	0.0732509
"Asia Society"	0.0730344
"Operation Lifeline Sudan"	0.0729543
Westendorp	0.0728366
SEC	0.0727605
ICRC	0.0727548
"Common Cause"	0.0726687
TDC	0.0726393
CAA	0.0726092
NHRA	0.0725132
SCI	0.072506
Bi	0.072376
KONI	0.0720574
NASD	0.0720361
Cornyn	0.0720171
"American Legion"	0.0719897
"Electronic Privacy Information Center"	0.0719559
ACB	0.071477
ZDTV	0.0713994
"U.S. Golf Association"	0.0713229
Chabot	0.0712736
DAP	0.0710991
"American Red Cross"	0.0709861
GOPAC	0.0706348
"Department of Public Health"	0.0706137
CPSC	0.0706134
"American Bar Association"	0.070597
Trulock	0.0705781
ITF	0.0705126
GSS	0.0704683
Glaxo	0.0704669
SLOC	0.0702817
Icann	0.0702202
PCC	0.0702034
"Palestine National Council"	0.0701365
Amway	0.0701307
MFA	0.0694957
"National Science Foundation"	0.0694553
"Park Service"	0.0694073
hodgson	0.0693038
"National Association of Manufacturers"	0.0693014
Symantec	0.069114
"Department of Corrections"	0.0690714
Verney	0.0689299
UAW	0.0689292
"planning commission"	0.068707
))
("Adlai Stevenson" (desc 2472.06) (sims
"George McGovern"	0.192226
"Lyndon Johnson"	0.149864
"Walter Mondale"	0.140709
"Hubert Humphrey"	0.123143
"Gerald Ford"	0.12203
"Dwight Eisenhower"	0.117581
"Herbert Hoover"	0.115571
"Franklin Delano Roosevelt"	0.105125
"Ronald Reagan"	0.104716
"Richard Nixon"	0.102739
"John Kennedy"	0.102101
"Woodrow Wilson"	0.101611
"Harry Truman"	0.0979139
"Barry Goldwater"	0.0948059
"Robert Kennedy"	0.0907863
"John F. Kennedy"	0.089313
"Michael Dukakis"	0.0890437
"Buddy MacKay"	0.0878436
"George Bush"	0.0859713
"Garry Mauro"	0.0834724
"Nelson Rockefeller"	0.0828598
"Lyndon B. Johnson"	0.0818715
"Ulysses S. Grant"	0.0795885
"Geraldine Ferraro"	0.0785772
"Jim Florio"	0.0782454
"Jimmy Carter"	0.0779798
"Dwight D. Eisenhower"	0.0759306
"Franklin Roosevelt"	0.0744405
"Winston Churchill"	0.0741514
"Tom Vilsack"	0.072531
"Charles Lindbergh"	0.0719519
"Gary Hart"	0.0678037
"Roy Barnes"	0.065635
"Joe Lieberman"	0.065612
"Scott Harshbarger"	0.0653827
"Jerry Brown"	0.0633214
"Bob Dole"	0.0630903
"Franklin D. Roosevelt"	0.0626895
"Charles Robb"	0.062642
"Ralph Nader"	0.0619709
"Lawton Chiles"	0.0619517
"Abraham Lincoln"	0.0608049
"Jon Corzine"	0.0597629
"John Connally"	0.0590652
"Gray Davis"	0.0586795
"James Dean"	0.0579415
"Dan Lungren"	0.0575454
"Galina Starovoitova"	0.0569093
"Richard M. Nixon"	0.0558823
"Mikhail Gorbachev"	0.0553463
"Edward M. Kennedy"	0.0550953
"Ricardo Lagos"	0.0550898
"Francisco Labastida"	0.0550156
"Bob Bullock"	0.0549474
"Ross Perot"	0.0545054
"Teddy Roosevelt"	0.0543357
"Matt Fong"	0.0542396
Bishara	0.0537627
"Daniel Patrick Moynihan"	0.0531768
"Joseph McCarthy"	0.053031
"Megawati Sukarnoputri"	0.0527771
"Calvin Coolidge"	0.0525594
"William Randolph Hearst"	0.0525442
"Jack Kemp"	0.0519772
"Ron Wyden"	0.05149
Kasparov	0.0514573
"Charles Schumer"	0.0510693
"Democrat Al Gore"	0.0498457
"David Duke"	0.0497289
"Gary Bauer"	0.0487996
Starovoitova	0.0486428
"Peter Vallone"	0.0485371
"Robert Bork"	0.048183
"Guy Millner"	0.0479016
"Joseph Lieberman"	0.047868
Shays-Meehan	0.0476627
"Evan Bayh"	0.0476216
"John Hagelin"	0.047568
"Biljana Plavsic"	0.0472471
"Paul Tsongas"	0.0469759
Shui-bian	0.0469751
"John Kerry"	0.0467344
"Andrew Johnson"	0.0465274
"Betsy McCaughey Ross"	0.0465117
"Robert F. Kennedy"	0.0463439
"Dick Durbin"	0.0463153
Jauron	0.0445687
"Ted Kennedy"	0.0443019
"Bob Franks"	0.0440986
egghead	0.0440131
"Eleanor Roosevelt"	0.0434247
Mondale	0.0433728
"Paul Johnson"	0.043075
center-left	0.0429024
"Bobby Kennedy"	0.0427236
"Democrat Bill Bradley"	0.0426082
Kerrey	0.0425889
"Elizabeth Dole"	0.0418557
"Boris Nemtsov"	0.0418028
Jett	0.0416338
Humphrey	0.0404558
"Francisco Labastida Ochoa"	0.0401878
))
(Adler (desc 2830.34) (sims
Menchu	0.121381
Sheehy	0.119772
Brazile	0.117351
Hamlin	0.109382
Cleary	0.103912
Grossman	0.103121
Shriver	0.102746
Halberstam	0.102467
Baum	0.0994872
Weil	0.0970173
Broaddrick	0.0939149
Kurtz	0.0935899
Swenson	0.0934344
Ono	0.0931986
Rivlin	0.0924571
Ivey	0.0916845
Nilsson	0.0902987
Arbour	0.0902311
Abram	0.0902038
Rosenthal	0.0897585
Betts	0.0896682
Markovic	0.0888735
Ashrawi	0.0872097
Simons	0.0868634
Pierson	0.0868022
Gutman	0.0858518
Quintero	0.0850337
Larson	0.0848469
Greco	0.0847757
Muir	0.0844601
MacKay	0.0838346
Shulman	0.0837112
Rowley	0.0837028
Maynard	0.0836872
McCormack	0.0835958
Ziegler	0.0835241
Hartley	0.0834514
Judd	0.0831395
McIntyre	0.0826686
Henley	0.0825916
Tilberis	0.0819992
Maher	0.081972
Hecht	0.0818341
Pape	0.0811824
Wasserstein	0.0808724
Berman	0.0807547
Kohn	0.0804486
Garvey	0.08041
Vogel	0.080396
"Patsy Ramsey"	0.0803078
Tuttle	0.0802527
Lowry	0.0802515
Zarb	0.080224
Northup	0.0801704
Posner	0.080166
Weiner	0.0800752
Goldin	0.0797611
Cline	0.0797141
Stahl	0.0796799
Greenwald	0.0796323
bock	0.0795045
Fernandes	0.0794967
McDaniel	0.0793591
Harman	0.0792668
Postol	0.0791885
Kurth	0.078609
Sobel	0.0783938
Friedman	0.0782195
Kaplan	0.0778684
Muller	0.0778259
Epstein	0.0775256
Lurie	0.077441
Heche	0.0770014
Copeland	0.0769609
Sibley	0.076615
Hagen	0.0763876
Hersh	0.0762597
BENSON	0.075887
Stacy	0.075629
Pearce	0.0754218
Schwartz	0.0752141
LeBlanc	0.0748835
Iger	0.0746138
Mullen	0.0745775
Grunwald	0.0745612
Mahoney	0.0744365
Lerner	0.0742977
Rosenberg	0.0742583
Morley	0.0739428
Hurley	0.0738316
Madden	0.0738289
Bingham	0.0737305
Briscoe	0.0736835
Hirsch	0.0736593
Ekeus	0.0735141
Rowan	0.0733627
Mucha	0.073361
Hiett	0.073308
Kagalovsky	0.0732078
Corcoran	0.0728717
Carlson	0.0728704
Schott	0.0727262
Zuckerman	0.0725878
Petersen	0.0725373
DERSHOWITZ	0.0724141
Lowey	0.0721768
Wolff	0.0721616
Jung	0.0719136
Britton	0.0718517
Garber	0.0717751
Lipstadt	0.0717277
Fasano	0.0714862
Seltzer	0.0714601
Farrell	0.071404
Jaffe	0.0711955
Pryor	0.0711519
Schmalensee	0.0710505
Rowling	0.0710484
Meyers	0.0710448
Levine	0.0709944
Schiff	0.0706678
Wiggins	0.0705944
Gilligan	0.0705788
DiCicco	0.0705644
Berenson	0.0705411
Hahn	0.0702011
Barlow	0.0701547
Kirkpatrick	0.0698336
Sutherland	0.0697857
Schafer	0.0696364
Barrett	0.0695274
Hamill	0.0694191
Farber	0.0693967
Hindery	0.0692071
Molinari	0.0691587
Krugman	0.0690604
Mathews	0.0690445
Blumenthal	0.0689495
Oliveira	0.0689446
Rubinstein	0.0688808
Felton	0.0687649
Remnick	0.0686397
Fuentes	0.0686022
Feldman	0.0685179
Lockwood	0.0682043
Cianci	0.0681484
Reiner	0.0679552
Knapp	0.0679535
Nicholson	0.0676463
Barron	0.0676087
Nebiolo	0.0675163
McCartney	0.0674801
Slater	0.0674792
Eisner	0.0674548
Albrecht	0.0674405
Sorensen	0.0670235
Mckee	0.066999
Spence	0.0669462
Jeffers	0.0669079
Portnoy	0.0668415
Peters	0.0667791
Villanueva	0.0666992
Cleese	0.0666603
Figgis	0.0665546
Mohamed	0.0665112
Seaver	0.0664802
Hatfield	0.0664433
Galvin	0.066419
Scruggs	0.0663999
Fleischer	0.066371
Dion	0.0662156
Cisneros	0.06621
Sharma	0.0661309
Reiter	0.0661103
Jamison	0.0660457
Slatkin	0.0659848
Henning	0.0658166
Vasquez	0.0658134
Dunham	0.0657876
Hobson	0.0657839
Hadley	0.0655522
Soyinka	0.0654076
Sweeney	0.0652992
Midler	0.0652379
Doyle	0.0650838
Alvarez	0.0650823
Jarvis	0.0650166
Maag	0.0650004
Donnelly	0.0649622
Buckley	0.0649179
Chenoweth	0.0648569
Mizrahi	0.0647815
Rutherford	0.064776
Ackerman	0.0644008
Clooney	0.0642912
lauder	0.0641702
Harr	0.0641253
Shayler	0.0640828
Hagel	0.0640101
Bloch	0.0639382
))
(ADM (desc 1066.78) (sims
AHP	0.167102
"P&AMP;G"	0.149475
VENATOR	0.143978
"Thermo Electron"	0.142628
Pitney	0.1425
IAI	0.141113
NORTHROP	0.136783
GPU	0.136249
GANNETT	0.130005
SGI	0.127008
Daimler	0.12397
RJR	0.123708
"J&AMP;J"	0.123457
Cabletron	0.122566
Starwood	0.121434
"True North"	0.120487
UTC	0.117503
Georgia-Pacific	0.116759
Lilco	0.114862
Odwalla	0.114729
IMS	0.113088
"American Home"	0.111868
TYCO	0.109882
"HBO &AMP; Co."	0.108228
All-Tech	0.107958
Conseco	0.107661
CUC	0.107383
Scientific-Atlanta	0.106932
Broderbund	0.106628
McKesson	0.105667
AIG	0.105329
Healtheon/WebMD	0.105226
ICI	0.104561
Pairgain	0.104366
ENTERGY	0.104344
NiSource	0.104074
Litton	0.103885
Raytheon	0.103652
Rhone-Poulenc	0.103281
"Union Carbide"	0.102719
Cadbury	0.102587
Genentech	0.102417
Informix	0.100745
"Times Mirror"	0.100262
Dresdner	0.100066
"State Street"	0.0995057
HBOC	0.0986755
Manbar	0.0982549
"General Electric Co."	0.0979898
DoCoMo	0.0971048
Honeywell	0.097078
Penney	0.0965578
Aegon	0.0964052
"Volvo AB"	0.0958087
Lockheed	0.0957493
"Eastern Airlines"	0.0957007
"Ocean Spray"	0.095682
Lucasfilm	0.0952543
Scripps	0.0949906
ALZA	0.0933339
Ingalls	0.0930604
"U.S. Trust"	0.0929832
UPI	0.092926
USEC	0.0926533
Seagate	0.092563
ExciteAtHome	0.0922457
COLTEC	0.0920983
Alltel	0.0918473
Halliburton	0.0917853
BofA	0.091503
Pepsico	0.0909098
"Pacific Century"	0.0905585
Novartis	0.090394
Gillette	0.0903641
"News Corp."	0.0897966
"Con Ed"	0.0896126
Mannesmann	0.0894348
"Cadbury Schweppes"	0.0893812
Norwest	0.0892922
Nortel	0.0891492
Chiron	0.0884216
Trepagnier	0.088173
Genzyme	0.0880703
"Tribune Co."	0.0880285
Delphi	0.0877747
Loewen	0.0877596
Monsanto	0.0876427
Mattel	0.0875261
Humana	0.0873342
"Bankers Trust"	0.0872608
Equifax	0.0870755
"Boston Scientific"	0.0869605
AutoNation	0.0868546
Clorox	0.0868009
"Chrysler Corp."	0.0867615
EMC	0.0865877
EBRD	0.0863895
PEOPLESOFT	0.0863066
Allstate	0.0862048
Hoechst	0.0861501
RealNetworks	0.0861238
AlliedSignal	0.0860954
Cendant	0.0856026
Symantec	0.0855843
MLB	0.085446
"Time Inc."	0.085128
"Network Associates"	0.0850763
"Dow Chemical"	0.0846782
"Sdn Bhd"	0.084535
Nomura	0.0843902
NCR	0.084174
"Sara Lee"	0.0839084
Loral	0.0839073
Warner-Lambert	0.0837534
Terra	0.0836534
Sunbeam	0.0836023
NU	0.0835687
Hewlett	0.0835674
Emulex	0.0833163
Ge	0.0824618
Livent	0.0823866
Gazprom	0.0823384
CCE	0.0820833
"Learning Co."	0.0820731
"Phelps Dodge"	0.0819589
"Bear Stearns"	0.0818427
"Stride Rite"	0.0815188
Fingerhut	0.0813898
"Walt Disney Co."	0.0813894
Biogen	0.0813701
"Niagara Mohawk"	0.0812606
WorldCom	0.0812553
FPL	0.0810494
"U S West"	0.0807792
HP	0.0806602
REVLON	0.0806343
"Koch Industries"	0.0803933
"Dayton Hudson"	0.0803858
"Lockheed Martin"	0.0803221
Belo	0.0802556
Roberds	0.080173
SmithKline	0.0801449
Aetna	0.0799367
Quokka	0.0799079
"RJR Nabisco"	0.0798965
Tenneco	0.0797196
IDG	0.0796345
PATA	0.0795486
Kendall-Jackson	0.0793533
"General Motors Corp."	0.0793485
Daimler-Benz	0.0792513
Viacom	0.0791046
Federated	0.0790779
MiniMed	0.0790377
NIC	0.0790356
Barclays	0.0789574
CMGI	0.0787596
Bulog	0.0786442
Datek	0.078593
Chris-Craft	0.0784491
McGraw-Hill	0.0784235
Asda	0.0782452
Astra	0.0781834
"International Paper"	0.0779822
Compaq	0.0774625
"Hearst Corp."	0.0772676
Alcoa	0.0771326
"American Home Products"	0.0770864
"Pepsico Inc."	0.0769605
Cargill	0.0768357
Healtheon	0.0762098
Bridgestone	0.0760774
"Washington Mutual"	0.0754318
"Y&AMP;R"	0.0753131
"Waste Management"	0.0753002
"Advanced Micro"	0.0752591
"GE Capital"	0.0751407
AGL	0.0750594
ZIFF-DAVIS	0.0750369
Agilent	0.0750092
Renault	0.0749533
"King County"	0.0745806
GTE	0.0742685
EA	0.0741299
ARCO	0.0740583
VICKERS	0.0739792
"Con Edison"	0.0738737
DaimlerChrysler	0.0738392
IDT	0.0738285
Merrill	0.0737694
Volvo	0.0735049
Hilton	0.0734696
Frito-Lay	0.0734254
MetLife	0.0733238
Webvan	0.0733219
"Sears, Roebuck &AMP; Co."	0.0733083
Pillsbury	0.0731658
IMG	0.0730949
Bristol-Myers	0.0729943
Deutsche	0.0729866
))
(administration (desc 199385) (sims
government	0.243361
management	0.162762
authority	0.162731
leadership	0.153514
Congress	0.151277
department	0.150774
"White House"	0.148233
"Justice Department"	0.146847
Clinton	0.145866
agency	0.144068
"federal government"	0.138677
President	0.137555
military	0.136271
ministry	0.133685
party	0.133434
official	0.132803
organization	0.131215
Republican	0.130904
cabinet	0.129749
regime	0.128578
Pentagon	0.127472
"local government"	0.126312
Governor	0.125998
Council	0.12594
union	0.125631
NATO	0.124372
commission	0.124244
Bush	0.123738
"United Nations"	0.123489
industry	0.121757
policy	0.120753
lawmaker	0.120007
leader	0.119772
regulator	0.118385
committee	0.116338
legislature	0.115579
presidency	0.11527
campaign	0.114409
Democrat	0.113965
Israel	0.112291
IOC	0.112267
"central bank"	0.112213
community	0.112183
state	0.111773
prosecutor	0.111751
police	0.111215
"United States"	0.111038
Mayor	0.110975
IMF	0.110904
gore	0.110487
company	0.108932
"Reagan administration"	0.108857
group	0.10856
country	0.10822
politician	0.10805
Yeltsin	0.107808
U.N.	0.107793
Milosevic	0.107614
bureau	0.10688
"law enforcement"	0.106201
"Clinton Administration"	0.105974
system	0.105024
Kremlin	0.104686
ally	0.104653
"State Department"	0.104616
Giuliani	0.104595
Barak	0.104396
institution	0.1042
Senate	0.104071
Coalition	0.103416
FCC	0.102631
Netanyahu	0.10263
Washington	0.102535
GOP	0.101959
office	0.101249
Pataki	0.100817
Judiciary	0.100754
Russia	0.100736
Arafat	0.10031
Microsoft	0.0999503
"Security Council"	0.0996376
army	0.0992354
EPA	0.0985104
FBI	0.0981991
legislator	0.0978578
nation	0.0978214
"political party"	0.0976424
parliament	0.0971588
EU	0.0965355
China	0.0960296
minister	0.0959726
"police department"	0.0957258
McCain	0.0956789
Fed	0.0956742
"vice president"	0.0956387
FDA	0.0953585
Vatican	0.0953308
Palestinian	0.0952666
"International Monetary Fund"	0.0949572
Bradley	0.0948194
"police force"	0.0947692
Alliance	0.0947641
"European Union"	0.0945226
reform	0.0941059
program	0.0940907
"Finance Ministry"	0.0940405
board	0.0937931
senator	0.0937185
court	0.0937075
sector	0.0936961
environmentalist	0.0935052
U.S.	0.0934231
Starr	0.0932589
"business community"	0.092942
"European Commission"	0.0926946
conservative	0.0926
federation	0.0922887
economy	0.0916503
law	0.0914348
society	0.0913544
supporter	0.091255
opposition	0.0908734
Annan	0.0907759
judge	0.0907551
plan	0.0907273
"George W. Bush"	0.0905399
aide	0.0904543
"Republican Party"	0.0904529
force	0.0904319
process	0.0903152
public	0.0902664
Iraq	0.0901645
Lott	0.0898065
bank	0.0897731
labor	0.0897215
administrator	0.0896569
development	0.0893367
people	0.0893134
operation	0.089311
Syria	0.0892558
"World Bank"	0.0891825
finance	0.08909
establishment	0.0887725
side	0.0887546
airline	0.0883434
Moscow	0.0882097
commissioner	0.088154
FAA	0.0880723
"political leader"	0.0880537
"armed forces"	0.0879844
staff	0.0875819
employer	0.0875801
rule	0.0874465
Reno	0.0873124
legislation	0.0870651
General	0.0870642
opponent	0.0870424
member	0.0868365
"Benjamin Netanyahu"	0.0867311
effort	0.086624
"federal official"	0.0862459
INS	0.0859204
"labor union"	0.08558
manager	0.0854888
"George Pataki"	0.0854056
"economic policy"	0.0852548
"Food and Drug Administration"	0.0850961
initiative	0.0850515
control	0.0849275
Taliban	0.08477
"Kofi Annan"	0.0847332
association	0.0846936
corporation	0.0846905
CIA	0.0846442
"Department of Justice"	0.0844984
Putin	0.0844631
candidate	0.0843813
FTC	0.0843253
Pakistan	0.0842525
executive	0.0841952
media	0.0840594
Assembly	0.0839929
"U.N. Security Council"	0.0839767
"Energy Department"	0.0838825
"Ehud Barak"	0.0838599
"Democratic Party"	0.0838213
decision	0.0838199
affair	0.0838147
Iran	0.0837699
Reagan	0.0835549
Gingrich	0.0834543
business	0.0833304
PNA	0.0832743
"security force"	0.0829607
faction	0.082898
Turkey	0.0828091
"Palestinian Authority"	0.0827868
proposal	0.0826441
"foreign policy"	0.0826181
lawyer	0.0825261
))
("administration official" (desc 1234.65) (sims
Ruehe	0.200347
Finkel	0.162482
Fleischer	0.149881
DeFrantz	0.145852
Insulza	0.145676
Singson	0.145375
Heinrichs	0.142884
McCurry	0.142002
Polian	0.136697
Meissner	0.134817
Strauss-Kahn	0.133503
Okada	0.132654
Ebersol	0.132599
Rossotti	0.131578
Manley	0.131164
Jayakumar	0.125391
Dougherty	0.124598
Solis	0.124477
Lehane	0.12436
Aventajado	0.123549
Alatas	0.122078
Prewitt	0.12201
Valenti	0.121749
Passarella	0.121684
Piot	0.121659
Rodionov	0.121595
Waxman	0.121421
Hauser	0.120493
Siazon	0.119665
Azizah	0.118926
Eizenstat	0.118323
Harmoko	0.116429
Siegel	0.115471
Reimer	0.114658
Cashman	0.113798
Beilin	0.111536
Zadornov	0.111377
Ruggiero	0.111177
Xiang	0.111103
Naumann	0.110787
Sheehan	0.110715
Goldin	0.110507
Cui	0.10992
Wenger	0.109627
Flanagan	0.108937
Allchin	0.108062
Malu	0.107413
Aguirre	0.106945
Ikimi	0.106447
Scharping	0.106094
Rubenstein	0.105995
"de Charette"	0.105632
Jovanovic	0.105572
Wolfson	0.105409
Advani	0.105354
Myhrvold	0.10532
Condit	0.105129
Surin	0.105101
Weisman	0.105058
Grossman	0.104959
Schmid	0.104866
Donnan	0.104855
Auriemma	0.104709
Zou	0.104603
Paxon	0.104404
Nickerson	0.103968
Halloran	0.103185
Cowan	0.103131
Molinari	0.103017
Talebi	0.102622
Copeland	0.102564
Ainge	0.102372
Wald	0.10235
Menard	0.102213
Vogel	0.101678
"Alexis Herman"	0.10156
Hybl	0.101552
Tarawneh	0.101525
Kyprianou	0.101405
Duffy	0.101361
Guerra	0.100878
Daschle	0.100818
Zuma	0.100211
Kasoulides	0.100177
Boucher	0.100042
Samuelson	0.0996865
Kaye	0.0996656
Moonves	0.0993334
Tuberville	0.0988847
Mercado	0.0985312
Wilhelm	0.0985208
Sahadi	0.0984551
Satcher	0.0983564
Brownback	0.0980708
Sato	0.0980342
Neff	0.0979818
Fieger	0.0979054
Moakley	0.0974996
Shamshad	0.097137
Schuerholz	0.0970882
beamer	0.096838
"Brian Cashman"	0.096775
Rosenthal	0.0966849
Jarrell	0.0966194
"Joe Lockhart"	0.0965293
Chadwick	0.0964381
Mustafa	0.0963222
Ganassi	0.0960062
Sensenbrenner	0.0959662
McInnis	0.095947
Hodler	0.0957887
Zeng	0.0954953
Goossen	0.0953807
Grasso	0.0952912
Muckler	0.0952117
Velayati	0.0951013
Bergeron	0.0950712
Maslyukov	0.0947107
Robson	0.0945381
Zucker	0.0943399
Gogel	0.0943368
Rothenberg	0.0942345
Zuckerman	0.094137
O'Neil	0.0941154
Calcavecchia	0.0939971
Lowry	0.0939305
Braswell	0.0937454
Schmitt	0.0936936
Colangelo	0.0936551
Hunsicker	0.0936485
"Bank of Korea"	0.0936466
Tsang	0.0934406
Ruthardt	0.0933775
Bustamante	0.093266
Pearce	0.0929152
Gilmour	0.0928304
Murkowski	0.0926543
Tobin	0.0924678
Sasser	0.0923715
Caddell	0.0922983
Poole	0.0921048
Clements	0.0919167
Mandella	0.0917988
Severino	0.0915514
Nadler	0.0912362
Hyman	0.0911702
Chissano	0.0909753
Coen	0.090972
"federal official"	0.0909211
Sorensen	0.0909085
Juma	0.0908902
Rove	0.0908099
Koskinen	0.0905698
Hartsburg	0.0904944
Saleh	0.0903294
Carollo	0.0901
Solich	0.0900091
Bakaly	0.0899293
Yastrzhembsky	0.0898414
Bildt	0.0897924
"U.S. Defense Department"	0.0897045
Tomey	0.0895935
Brandt	0.0893783
Najera	0.0892998
Moog	0.0891104
Krzyzewski	0.0888676
Michel	0.088837
Lampkin	0.0888014
Weil	0.0887359
Juppe	0.0886846
Orban	0.0886802
Freeh	0.0886192
Thayer	0.0886156
Mandelson	0.0885788
Mikhailov	0.0885381
McGuire	0.0883873
Leavitt	0.0882862
Kornberg	0.0881065
Sykes	0.0879395
Gullikson	0.087883
Allard	0.0877597
O'Reilly	0.0877559
Bullard	0.0877442
Barros	0.0877411
Sheng	0.0876191
Padilla	0.0875496
Inhofe	0.0873806
Kato	0.0873428
Zambrano	0.0872929
Gossage	0.0871282
Ulrich	0.0870946
Henley	0.0869662
Bronfman	0.0869645
Havelange	0.0867858
Moratinos	0.0867212
Fraga	0.0867045
Murad	0.0866868
Ratliff	0.0865821
Sumaye	0.0865243
Andreychuk	0.0864885
))
("administrative law" (desc 1210.47) (sims
"civil law"	0.148229
"commercial law"	0.142582
"Nationality Law"	0.112424
"organic law"	0.101925
"Family Court"	0.0996224
"criminal law"	0.0979477
bylaw	0.0916196
"Mary Jo White"	0.0809212
"bankruptcy law"	0.0803622
"juvenile court"	0.0797524
"Maastricht Treaty"	0.07847
Mannheim	0.0759781
"United Nations Charter"	0.0742899
disbarment	0.0739163
"U.S. Bankruptcy Court"	0.073089
"World Court"	0.0716377
"federal district"	0.0713789
"National Court"	0.0712884
"Disabilities Act"	0.0697225
"US District Court"	0.0667331
handbill	0.0661937
"Criminal Procedure Law"	0.0645699
aeronautics	0.0643953
"Clean Air Act"	0.0624389
"Joint Declaration"	0.0616844
"penal code"	0.061601
"legal document"	0.061517
Japan-U.S.	0.0612275
"Sino-Portuguese Joint Declaration"	0.0610604
"Macao Basic Law"	0.0610598
"Sino-British Joint Declaration"	0.0606866
"Civil Rights Act"	0.0605231
"Pipeline Safety"	0.0603579
"Circuit Court"	0.0602758
auditor-general	0.0601739
rulebook	0.0595064
"eminent domain"	0.0594995
"common law"	0.0578337
"Dallas County"	0.0572271
"Lahore High Court"	0.0570774
"Federal District Court"	0.0564729
"Appellate Division"	0.0563362
Shariah	0.0561018
"Cook County"	0.0558054
foreclosure	0.0556418
ABM	0.0553157
"trial court"	0.0545896
"Travis County"	0.0545539
"internal control"	0.0538629
"Erie County"	0.0530578
curricula	0.0530538
"Court of Appeal"	0.0527878
"Clean Water Act"	0.0526756
EEOC	0.0524051
"Williamson County"	0.0521428
"National Labor Relations Board"	0.0520159
"Jackson County"	0.0517679
animator	0.0510929
"President of the United States"	0.0504024
"Fayette County"	0.0497298
Promos	0.0494376
"legal code"	0.0493922
zoning	0.0493037
investigating	0.0487012
harmonization	0.0480689
"traffic signal"	0.0479859
wide-range	0.0479355
"Health and Human Services Department"	0.0475231
Sharia	0.0474989
"Harris County"	0.0473886
"ABM Treaty"	0.0470504
"Mather Worldwide"	0.0468036
hypotheses	0.0467236
"United Nations Convention"	0.0463215
counsellor	0.0460354
"Anti-Ballistic Missile Treaty"	0.0459095
"Humanitarian Affairs"	0.045782
reapportionment	0.0456766
"Peaceful Coexistence"	0.0454246
"Public Affairs"	0.0453926
Systems	0.0453387
counterterrorism	0.0451703
forfeiture	0.0448315
"U.N. Charter"	0.0447741
Standards	0.0445475
"U.N. High Commissioner for Refugees"	0.044502
"Social Affairs"	0.0443675
neighborliness	0.0442747
"Article @@"	0.0434443
"Self-Defense Forces"	0.0434093
theorem	0.0433771
"economic theory"	0.0433405
Publicis	0.0433372
"U.S. Constitution"	0.0432506
"Title IX"	0.0431978
labeling	0.0429565
"International Skating Union"	0.0429153
"contingency plan"	0.0427764
"tax system"	0.0425097
"legal instrument"	0.0424267
"political science"	0.0424172
"Sino-Japanese Joint Statement"	0.0423942
record-keeping	0.0422931
non-members	0.0422129
one-China	0.0420317
"Geneva convention"	0.0418405
"Rockdale County"	0.0415996
"safety measure"	0.0414307
"biological science"	0.0414022
"Russian Security Council"	0.0413031
"antitrust law"	0.0412655
"Fallon McElligott"	0.0412302
"Elyakim Rubinstein"	0.0410746
"Fulton County"	0.0409172
tort	0.0407204
"Economic Development"	0.0405317
"maritime law"	0.0405059
"Texas Department of Health"	0.0402857
"Skate America"	0.0402667
IPR	0.0402178
"equal opportunity"	0.0401974
"computer application"	0.0401793
"travel plan"	0.0400482
Shamshad	0.040032
))
("administrative official" (desc 1106.73) (sims
"management personnel"	0.134391
policymaker	0.113181
prefect	0.0883008
"government officials"	0.0877892
Procurator	0.0854481
assembler	0.0836452
"economic expert"	0.0827733
"financial officer"	0.0823378
"test-tube baby"	0.0818257
"business executive"	0.0808254
bureaux	0.0796889
functionary	0.0792316
"Martin McGuinness"	0.0767533
"sales outlet"	0.0739051
agronomist	0.0719598
"weather forecaster"	0.0708437
statesmen	0.0697294
"policy maker"	0.0695913
"legal expert"	0.0678304
laid-offs	0.0678096
"Mahmoud Abbas"	0.067707
"medical officer"	0.0672794
"aerospace engineer"	0.0667617
fencer	0.0659386
actuary	0.0649507
policy-makers	0.0640858
goalscorer	0.0640749
clergymen	0.0640682
wage-earner	0.0638722
"news event"	0.0630668
seismologist	0.0626749
bailiff	0.0621384
enterpreneurs	0.0615171
"law officer"	0.0615156
"general practitioner"	0.0612967
"shipping company"	0.0606388
statistician	0.0605314
"US Embassy"	0.0604772
"Robert Aventajado"	0.0603324
SMIs	0.0603152
prelate	0.0601231
educationist	0.0593861
"Serbian Orthodox Church"	0.0592756
forester	0.0590999
policymakers	0.0588283
whistleblowers	0.0587375
"tax collector"	0.058594
officals	0.0581996
bureaus	0.0581408
"vote counter"	0.0580805
"Oded Eran"	0.0579294
"Museum of Chinese History"	0.0577688
meteorologist	0.0576828
demographer	0.0573313
"school boy"	0.0573282
goal-scorer	0.0572055
"stock company"	0.0570885
decision-makers	0.0568937
"staff officer"	0.0567571
"David Duke"	0.0563624
stagehand	0.0560663
"prosecuting attorney"	0.0558496
teahouse	0.0557984
academician	0.0557937
co-captain	0.0555649
officeholder	0.0551353
"Nabil Shaath"	0.0548202
"Hashim Thaci"	0.0547184
"military position"	0.0546388
fire-fighter	0.0545783
archeologist	0.0545233
"income bracket"	0.0544241
"health professional"	0.0539859
"David Bar-Illan"	0.0539731
epidemiologist	0.0535065
"cabinet member"	0.0531321
"CPC Central Commission for Discipline Inspection"	0.0531261
geologist	0.0530993
"Abu Mazen"	0.0528335
petitioner	0.0527615
transnationals	0.0518944
"foreign officials"	0.0518656
"party boss"	0.0518538
"corporate executive"	0.0515882
"medical specialist"	0.051461
"Karl Rove"	0.0512791
archivist	0.0504965
Councilor	0.0504727
"landscape architect"	0.0504418
dealmaker	0.0503734
"Print Shop"	0.0503519
"secondary school"	0.0503291
integrator	0.0501355
lawman	0.0500885
"work unit"	0.0499067
"Seamus Mallon"	0.0498699
"public servant"	0.0498393
"military post"	0.0495883
"state's attorney"	0.049498
"Special Economic Zones"	0.0493964
"Joseph Bruno"	0.0493134
"AIDS activist"	0.0493025
"top officer"	0.0491885
craftsmen	0.0490552
"paper mill"	0.0490268
"Labor office"	0.0488142
"local department"	0.0487955
Imam	0.0486519
Litigator	0.0486313
vertebrate	0.0486303
Councilors	0.0484822
storekeeper	0.0484218
"Bill Owens"	0.0483041
"Political Consultative Conference"	0.0482868
"government minister"	0.0482415
Procuratorate	0.0481756
"interior designer"	0.0481513
"community organizer"	0.0481386
"gambling casino"	0.0479834
potentate	0.0479175
animators	0.0476759
"two pitchers"	0.0476064
NGOs	0.0474733
"Richard Blumenthal"	0.0473477
"long-distance runner"	0.0473234
clinician	0.0472813
"Bosnian Croat"	0.0471832
el-Baz	0.0470522
"intellectual property rights"	0.0470389
"enlisted man"	0.0469969
parastatals	0.0469707
"campaign adviser"	0.046898
herdsmen	0.0468078
nutritionist	0.0467281
"intelligence officer"	0.0466656
"Macao Government"	0.0466382
vote-getters	0.0465889
ornithologist	0.046569
crematorium	0.0463736
excavator	0.0463662
electrician	0.0461163
"Bizima Karaha"	0.046073
"Jacques Rogge"	0.046032
procuratorates	0.0458645
websites	0.0456862
"antitrust regulator"	0.0456565
vintner	0.0456341
consortia	0.0455991
funders	0.0455091
"fire chief"	0.0454349
optometrist	0.0452017
conservator	0.0451695
"William S. Cohen"	0.0450034
horticulturist	0.0446117
coconspirator	0.044556
trestle	0.0445438
inspectorate	0.0444376
"information provider"	0.0443207
schooler	0.0443101
"Ibrahim Rugova"	0.0442888
"financial organization"	0.0442383
"Alexander Lebed"	0.0439975
preservationists	0.0439255
"Legend Group"	0.0438155
IPR	0.043764
"chess player"	0.0437628
scriptwriter	0.0436771
marathoner	0.0436337
"decision maker"	0.043604
"Jeanne Shaheen"	0.0434318
"Wlodzimierz Cimoszewicz"	0.043285
"Danny Yatom"	0.0432777
installers	0.0432385
"air force officer"	0.0431985
"tribal chief"	0.0431924
VCs	0.0431665
"educational institution"	0.0431263
"Grigory Yavlinsky"	0.0430768
"environmental condition"	0.042889
surveyor	0.0428619
"Public Health"	0.042836
"Radovan Karadzic"	0.0428352
winemaker	0.0428018
"security consultant"	0.0427853
"five spot"	0.0425674
"civil authority"	0.0424204
"music school"	0.0423899
"security clearance"	0.042376
achiever	0.0423631
Advani	0.0423577
Ayatollah	0.0423525
"opera company"	0.0423359
examinees	0.0422218
"newspaper editor"	0.0421966
"medical institution"	0.0421939
postgraduate	0.0421673
"game warden"	0.0421337
Djindjic	0.0421192
"church member"	0.042103
"Mike Huckabee"	0.0420967
))
(administrator (desc 71388.2) (sims
superintendent	0.149523
official	0.14847
supervisor	0.143604
educator	0.142866
director	0.141882
commissioner	0.138138
manager	0.137765
trustee	0.135568
teacher	0.128349
officer	0.127961
engineer	0.126708
doctor	0.1238
executive	0.121215
scientist	0.120995
prosecutor	0.120886
counselor	0.120499
chief	0.120195
researcher	0.119875
physician	0.118945
psychologist	0.117375
principal	0.117024
coordinator	0.11699
expert	0.116664
legislator	0.116495
"social worker"	0.116462
technician	0.115884
investigator	0.11446
regulator	0.114214
specialist	0.113209
employee	0.111479
"staff member"	0.110554
Attorney	0.110447
lawyer	0.110329
judge	0.110325
representative	0.109759
"faculty member"	0.109725
secretary	0.108952
staffer	0.108486
professional	0.108204
staff	0.108069
nurse	0.107859
advocate	0.10648
inspector	0.106136
authority	0.105858
"board member"	0.105355
professor	0.104489
consultant	0.104073
adviser	0.10392
"elected official"	0.103379
accountant	0.103231
commander	0.102399
assistant	0.101824
auditor	0.101693
lawmaker	0.101411
historian	0.10131
planner	0.10131
scholar	0.101024
student	0.101011
politician	0.100876
bureaucrat	0.10076
Magistrate	0.100272
worker	0.100266
dean	0.100053
diplomat	0.0998389
"civil servant"	0.0998345
"federal official"	0.0994001
banker	0.0993557
"deputy director"	0.0980075
"business leader"	0.0979549
Governor	0.0977479
librarian	0.097611
member	0.0973096
personnel	0.0965496
clerk	0.0964982
aide	0.0964439
journalist	0.0962111
activist	0.0957415
treasurer	0.0949683
"inspector general"	0.0949078
recruiter	0.0943067
psychiatrist	0.094235
leader	0.094202
academic	0.093756
"police officer"	0.0935498
instructor	0.0927788
"legal expert"	0.0924409
faculty	0.0921341
editor	0.091759
"military officer"	0.0917473
Mayor	0.0914381
lobbyist	0.0912793
bishop	0.0910844
agency	0.0910269
economist	0.090735
environmentalist	0.0907088
Chancellor	0.0906429
"general counsel"	0.0904371
"policy maker"	0.0901608
administration	0.0896569
ethicists	0.0894873
veterinarian	0.089416
organizer	0.0894068
"labor leader"	0.0893635
"business executive"	0.0892833
"executive director"	0.0890658
lecturer	0.0889726
coach	0.0885707
police	0.0884792
policy-makers	0.0884067
General	0.088108
parent	0.0877428
observer	0.0874967
"vice president"	0.0874276
"cabinet minister"	0.0874251
curator	0.0872969
developer	0.0872143
department	0.087013
volunteer	0.0869708
surgeon	0.086819
President	0.0867276
Counsel	0.0860523
owner	0.0856863
"religious leader"	0.0856811
"school board"	0.0855735
pastor	0.0854371
spokesman	0.0853148
"political leader"	0.0851613
"secretary of state"	0.0851378
agent	0.0850299
analyst	0.0849754
"department head"	0.0849287
businessmen	0.0849252
resident	0.0848734
"chief of staff"	0.0845775
minister	0.0845452
"government officials"	0.0844495
"general manager"	0.0844175
operator	0.0842168
controller	0.0840882
therapist	0.0840719
contractor	0.0839912
biologist	0.0839496
critic	0.0839324
"managing director"	0.0837674
designer	0.0834686
Alumni	0.0834507
"school principal"	0.0831693
Provost	0.0831099
writer	0.0827558
committee	0.0826943
spokeswoman	0.0825125
"district attorney"	0.0821806
archivist	0.0820943
"committee member"	0.0817141
"medical officer"	0.0816845
entrepreneur	0.0816722
deputy	0.081111
Programmer	0.0810633
Registrar	0.0810373
Ambassador	0.0809955
"football coach"	0.0809952
practitioner	0.0809003
"police chief"	0.0804712
employer	0.0803997
Council	0.0798171
management	0.0797674
chairman	0.0797564
graduate	0.0794084
"project manager"	0.0793673
pediatrician	0.0790688
"health professional"	0.0788994
senator	0.07883
pharmacist	0.078801
"information officer"	0.0787272
clergy	0.0786119
"army officer"	0.0785857
Secretary-General	0.0781949
nutritionist	0.0780154
architect	0.0778895
priest	0.0777449
undersecretary	0.0776489
"top executive"	0.0774597
"public defender"	0.0772796
"chief executive"	0.0772068
Sheriff	0.0770784
mediator	0.0770334
board	0.0770303
parliamentarian	0.0768048
"finance minister"	0.0767037
jurist	0.0765341
builder	0.0764936
custodian	0.0761503
head	0.0758428
sociologist	0.0757831
publisher	0.0757705
reporter	0.075768
negotiator	0.0754718
government	0.0753398
referee	0.0752396
epidemiologist	0.0749802
))
(Admiral (desc 15748.3) (sims
Colonel	0.130481
Wiranto	0.129749
"lieutenant general"	0.127194
"Wesley Clark"	0.115825
commander	0.115332
"Igor Sergeyev"	0.11029
"naval officer"	0.110145
"commander in chief"	0.106633
General	0.0998189
"brigadier general"	0.0995422
"lieutenant colonel"	0.0990478
"army officer"	0.0960141
"Shamil Basayev"	0.0919681
"military officer"	0.0866737
"Pervez Musharraf"	0.0855847
Lieutenant	0.0855088
"Vladimir Yakovlev"	0.0837512
"Lino Oviedo"	0.0827153
Musharraf	0.0812132
"John Shalikashvili"	0.0807887
"enlisted man"	0.0805076
commandant	0.0804074
"Aslan Maskhadov"	0.0786823
"cabinet minister"	0.0786016
"chief of staff"	0.0784291
"Viktor Chernomyrdin"	0.0783978
"Yevgeny Primakov"	0.0775841
"Javier Solana"	0.0770776
"Victor Malu"	0.0764723
Lahoud	0.0756316
"Shaul Mofaz"	0.0752505
"Lawrence Summers"	0.0749067
"air force officer"	0.0747415
"Alexander Lebed"	0.074699
frigate	0.0745528
officer	0.0743311
"John Podesta"	0.0737267
"William Cohen"	0.0735608
"Xiong Guangkai"	0.0734014
"Sergei Stepashin"	0.0732069
"deputy foreign minister"	0.0730092
"Yoshiro Mori"	0.0730063
aviator	0.0725396
Abubakar	0.0721832
"military leader"	0.0718771
clergyman	0.0717267
Ambassador	0.0714369
diplomat	0.0710669
"Eileen Collins"	0.0707565
"Bill Lann Lee"	0.0707169
captain	0.0704794
Stepashin	0.0704528
"Fu Quanyou"	0.0702171
warship	0.0700938
Misuari	0.0698016
Sergeant	0.0694539
"Kim Jong-pil"	0.0694417
Prabowo	0.0692921
"Joel Klein"	0.06909
"William Perry"	0.0684032
"Bernard Kouchner"	0.0683358
"political commissar"	0.0682531
Solana	0.0681775
"Ariel Sharon"	0.067758
"Inder Kumar Gujral"	0.0676421
"general staff"	0.067573
"Anatoly Chubais"	0.0675632
vice	0.0671393
"Chuan Leekpai"	0.0668348
"Henry Shelton"	0.0667847
"Chavalit Yongchaiyudh"	0.0666441
"Marzuki Darusman"	0.0666289
"Atal Bihari Vajpayee"	0.0664995
undersecretary	0.0663848
Rodionov	0.0663099
"Than Shwe"	0.0663096
"H.D Deve Gowda"	0.0662411
"Mikulas Dzurinda"	0.0662088
secretary	0.066053
"Martin McGuinness"	0.065666
"Hans Blix"	0.0656382
"Rodney Slater"	0.0655588
"intelligence officer"	0.0654941
"Ronnie Flanagan"	0.0654895
Primakov	0.0654819
"Xanana Gusmao"	0.0652958
"de Charette"	0.0652402
"Richard Butler"	0.0651537
"Benazir Bhutto"	0.0647975
"top officer"	0.064771
consul	0.0647601
Brigadier	0.0646272
Moi	0.0645684
"Rolf Ekeus"	0.0643946
"aircraft carrier"	0.0642778
"Li Peng"	0.0642062
Weizman	0.0642042
"Barry McCaffrey"	0.0641814
Sergeyev	0.0639337
Mandelson	0.063786
"Nawaz Sharif"	0.063726
"William Daley"	0.0636519
vice-president	0.0635379
"Ray Evernham"	0.0634029
Museveni	0.0632256
"Saeb Erekat"	0.0630748
"Defense William Cohen"	0.0630616
"Tony Coelho"	0.0629701
Tarawneh	0.0628788
"Robert Rubin"	0.0626838
"Klaus Naumann"	0.0625896
"Roy Romer"	0.0625703
"Abdulsalam Abubakar"	0.0624572
"Vladimir Putin"	0.0622441
"Pandeli Majko"	0.06223
Ekeus	0.0621453
Shahak	0.0619712
"newspaper editor"	0.0619578
"Prabowo Subianto"	0.0619174
"commanding officer"	0.0616737
"Khin Nyunt"	0.0615675
Abdullah	0.0615591
Malu	0.0614818
"Richard Blumenthal"	0.0614579
"Sergei Kiriyenko"	0.061415
rabbi	0.0613917
Orban	0.0613833
"chief justice"	0.0613764
Kuchma	0.0612292
"test pilot"	0.061191
"Air Force"	0.0611775
"intelligence analyst"	0.0611687
"Maung Aye"	0.0611286
Sheik	0.061064
"Tung Chee-Hwa"	0.0610449
"Richie Phillips"	0.0610122
Tung	0.0609217
sailor	0.060823
Premier	0.0605727
"military man"	0.0605036
"Boris Nemtsov"	0.0604084
Mandela	0.0603097
"foreign service officer"	0.0602946
"Wlodzimierz Cimoszewicz"	0.0602942
senator	0.0601475
"Radovan Karadzic"	0.060036
"Gulbuddin Hekmatyar"	0.0600064
"Michel Camdessus"	0.0599077
"Romano Prodi"	0.0598706
Camdessus	0.0597782
"battle group"	0.0597313
"Tomiichi Murayama"	0.0592498
submariner	0.0592223
Jayakumar	0.0590501
Nemtsov	0.059028
"Ratko Mladic"	0.0589905
Bulatovic	0.0589764
"Oded Eran"	0.0589104
"secretary of state"	0.058838
Prewitt	0.0587949
"Atal Behari Vajpayee"	0.0587478
Chavalit	0.0586262
"Norman Schwarzkopf"	0.0585846
"George Robertson"	0.0582009
Sakakibara	0.0579591
"inspector general"	0.0579557
Bhattarai	0.0576961
destroyer	0.0576542
Sharif	0.0575918
Koirala	0.0575732
Ivanov	0.0575287
statesman	0.0575234
"financial officer"	0.0572685
Stoyanov	0.0572243
superintendent	0.057065
"vice chairman"	0.0570375
Congressman	0.0569517
"Jacques Chirac"	0.0569402
"government officials"	0.0568476
Troussier	0.0568023
"Mesut Yilmaz"	0.0567959
Velayati	0.0567298
Ruehe	0.0566728
Daley	0.0566581
"Alain Juppe"	0.056395
"staff officer"	0.0562691
"electrical engineer"	0.056229
"Deve Gowda"	0.0562024
Sharon	0.0561971
"security adviser"	0.0561931
"Hashim Thaci"	0.0561724
"President Kim Young-sam"	0.0561577
"Mike Jackson"	0.056085
"Michael Jackson"	0.0560761
Mordechai	0.0560347
"Tung Chee Hwa"	0.0559647
"Renato Ruggiero"	0.0558998
chaplain	0.0556172
"Chief Executive Tung Chee-hwa"	0.0556038
"Dick Cheney"	0.0555881
))
(admiration (desc 25016.7) (sims
affection	0.174989
appreciation	0.155236
gratitude	0.153543
respect	0.149525
sympathy	0.137778
praise	0.136328
disdain	0.135925
reverence	0.134744
awe	0.130573
esteem	0.12749
amazement	0.121877
astonishment	0.117754
empathy	0.110511
enthusiasm	0.110353
sadness	0.107272
pride	0.104895
pity	0.10463
compassion	0.10448
fondness	0.1042
dismay	0.0997545
contempt	0.0980154
grief	0.0966343
scorn	0.0957187
loyalty	0.0954428
distaste	0.0952202
fascination	0.0947207
puzzlement	0.094031
exasperation	0.0936434
nostalgia	0.0924289
trepidation	0.0923619
dislike	0.0920306
joy	0.0914405
excitement	0.0910248
envy	0.0901995
sorrow	0.089151
acclaim	0.0888613
adoration	0.0884833
love	0.0883766
disbelief	0.0882433
bewilderment	0.0882098
accolade	0.0873662
amusement	0.0872376
delight	0.0866817
anger	0.0858575
passion	0.0858335
frustration	0.085161
hatred	0.0846989
elation	0.0842108
remorse	0.0840079
optimism	0.0837855
adulation	0.0829774
skepticism	0.0812181
indignation	0.0811381
recognition	0.08097
attention	0.0802369
regret	0.0796511
satisfaction	0.0789227
devotion	0.0788805
happiness	0.0783206
disgust	0.0782401
confidence	0.0782309
bitterness	0.0778792
dread	0.077379
distrust	0.076838
humility	0.076752
disappointment	0.0766608
curiosity	0.0763284
anxiety	0.0763208
feeling	0.0761086
resentment	0.0760391
apprehension	0.0753725
emotion	0.0750172
longing	0.0749492
acceptance	0.0736965
anguish	0.0735441
derision	0.0734382
horror	0.0734212
thanks	0.0727205
outrage	0.0723596
affinity	0.0718627
ambivalence	0.0715061
warmth	0.0714781
sincerity	0.0713136
bemusement	0.0710922
encouragement	0.0706887
pleasure	0.0700582
"good will"	0.0695562
yearning	0.0688698
goodwill	0.0686207
desire	0.0685817
wish	0.0682914
patriotism	0.0673207
trust	0.0668539
wonderment	0.0667579
plaudit	0.0665069
condescension	0.0661179
solidarity	0.0658921
consternation	0.0654299
shame	0.0653886
sense	0.0652843
disapproval	0.0649883
shock	0.064858
understanding	0.0646064
applause	0.0644841
determination	0.064477
self-respect	0.0642572
notoriety	0.0639794
mistrust	0.0639699
laughter	0.063966
dignity	0.0638204
confusion	0.063717
discomfort	0.0635753
self-confidence	0.0634281
disrespect	0.062949
despair	0.0628681
disillusionment	0.0628044
patience	0.0620893
faith	0.0619673
jealousy	0.0619413
courage	0.061767
nervousness	0.0614761
camaraderie	0.0614584
generosity	0.0613055
tenderness	0.0611918
suspicion	0.0607957
ire	0.0607172
impatience	0.0606541
ignorance	0.0605185
loathing	0.0602895
cynicism	0.0601935
fervor	0.0600157
unease	0.0598973
forgiveness	0.0598069
hate	0.0597094
ridicule	0.0592973
weariness	0.0591232
glee	0.0586364
reluctance	0.0582832
anticipation	0.0579313
misgiving	0.0578406
condemnation	0.0575919
friendship	0.057587
hostility	0.0572956
criticism	0.0570111
intimacy	0.0569109
revulsion	0.0568498
condolence	0.0567855
desperation	0.0564726
irritation	0.0564065
candor	0.0555781
fury	0.0552136
uneasiness	0.0551937
ambition	0.0551673
sentiment	0.0551129
wonder	0.054957
rage	0.0549045
kindness	0.0548192
solicitude	0.0548054
eagerness	0.054781
comfort	0.0546647
guilt	0.0545509
belief	0.0543855
bravado	0.0542505
embarrassment	0.0542249
animosity	0.0541863
honesty	0.0541696
irony	0.0541106
urgency	0.0540656
prestige	0.054037
compliment	0.0538875
willingness	0.0537916
importance	0.0537065
wariness	0.0536485
"sense of responsibility"	0.0535603
acknowledgement	0.0535088
allegiance	0.0532743
dedication	0.0531027
apathy	0.052697
wisdom	0.052672
pain	0.052612
ardor	0.0525516
vindication	0.0525459
rancor	0.0525311
humor	0.0523166
unhappiness	0.0521019
tolerance	0.0519414
arrogance	0.0519049
seriousness	0.0517379
displeasure	0.0515098
contrition	0.0514459
prejudice	0.05138
jubilation	0.0513733
pessimism	0.0513138
relief	0.051273
caution	0.0512343
expectation	0.0511452
chuckle	0.0510027
responsibility	0.0508826
terror	0.0508672
congratulation	0.0507648
))
(admirer (desc 22142) (sims
devotee	0.103546
fan	0.100034
supporter	0.099871
well-wisher	0.0943267
detractor	0.0922183
critic	0.0876118
acquaintance	0.0856951
follower	0.0843676
friend	0.0835586
disciple	0.0832946
onlooker	0.0826334
lover	0.0818987
backer	0.0797672
patron	0.0795983
collector	0.0795406
Reader	0.0793998
theatergoer	0.0789715
"sports fan"	0.0783092
skeptic	0.0780573
hater	0.0757984
listener	0.0751014
biographer	0.0746565
enthusiast	0.0745624
confidant	0.0734532
spectator	0.0729568
mourner	0.0728481
buff	0.0714041
believer	0.0712113
adherent	0.0695039
connoisseur	0.0694907
loyalist	0.0680679
proponent	0.0673243
advocate	0.0665145
moviegoer	0.0664735
associate	0.0664492
confidante	0.0648032
feminist	0.0638382
aficionado	0.0637881
acolyte	0.0634985
faithful	0.0631918
historian	0.0629654
doubter	0.0623189
scholar	0.0620993
cynic	0.0618905
aficionados	0.0618889
musician	0.0616569
"church member"	0.061562
monarchist	0.0609912
colleague	0.0609711
optimist	0.0602363
co-worker	0.05999
apologist	0.0589601
artist	0.0587124
foe	0.0586056
ally	0.0582597
enemy	0.058046
environmentalist	0.0576273
viewer	0.057577
pundit	0.0575491
activist	0.057473
fanatic	0.0573184
watcher	0.0572546
shopper	0.0572467
biography	0.0570561
writer	0.056582
appointee	0.0565419
journalist	0.0564299
idealist	0.056381
worshiper	0.0563532
protege	0.0558013
"art historian"	0.0557527
photographer	0.0556554
groupie	0.0555476
audience	0.0553604
parishioner	0.0552881
angler	0.0551739
"staff member"	0.0550297
guest	0.0550116
reveler	0.0549826
worshipper	0.0547436
performer	0.0545988
stranger	0.0540915
benefactor	0.0539853
companion	0.0536908
educator	0.0535686
drinker	0.0535604
defender	0.0535232
filmgoers	0.0534293
folk	0.0532287
observer	0.0532043
"family member"	0.0531029
outdoorsman	0.0530764
relative	0.052921
"faculty member"	0.0529176
liberal	0.0529154
"law partner"	0.0528383
classmate	0.0525448
academic	0.0524799
reviewer	0.0522129
golfer	0.0521916
reporter	0.0521676
collaborator	0.0519529
purist	0.051839
addict	0.0517426
politician	0.0515518
seeker	0.051418
practitioner	0.051405
booster	0.0511432
"New Yorker"	0.0510088
"jazz musician"	0.050916
scout	0.0508957
staffer	0.0508268
luminary	0.0507721
old-timer	0.0506747
bystander	0.0503769
Beijingers	0.0503234
novelist	0.0502238
tourist	0.0502166
protestor	0.0501026
teammate	0.0500745
chum	0.0500341
traditionalist	0.0498041
partisan	0.0497773
insider	0.0495063
sportswriters	0.0494743
imitator	0.0494292
aide	0.0493411
buddy	0.0493401
pilgrim	0.0493275
operative	0.0492869
celebrity	0.0491337
Southerner	0.0490996
Parisian	0.049051
dancer	0.0489261
intellectual	0.048921
dignitary	0.0489037
chronicler	0.0489009
"good person"	0.0488961
commentator	0.0487381
countrymen	0.0487272
concertgoers	0.0486187
Alumni	0.0485999
contestant	0.0485716
crony	0.0483309
author	0.0483164
adviser	0.0482626
following	0.0482613
constituent	0.0481887
portrait	0.048168
poet	0.0480609
composer	0.0478861
Catholic	0.0478156
hangers-on	0.0477506
restaurateur	0.0477002
adversary	0.0476895
gardener	0.0476766
coworker	0.047581
conservationist	0.0475527
bodyguard	0.0475416
filmmakers	0.0475117
leftist	0.0474608
hero	0.047345
schoolmate	0.0472871
"hockey player"	0.0472613
editor	0.0472543
"political leader"	0.0472477
mentor	0.0471464
Cuban-Americans	0.0470676
gymnast	0.0469577
entrepreneur	0.0469445
visitor	0.0468391
priest	0.0467516
Amateur	0.0467362
throng	0.0464587
"legal expert"	0.0464339
surfer	0.0464179
contemporaries	0.0464161
stalwart	0.0462812
panelist	0.0462341
demonstrator	0.0462049
"civic leader"	0.0462042
Iowan	0.046176
"labor leader"	0.0461384
achiever	0.0461189
translator	0.0461048
painter	0.0459716
participant	0.0459027
legislator	0.0457537
lawmaker	0.0457425
gambler	0.045728
peer	0.0456877
caller	0.0456624
cousin	0.045628
"chess player"	0.045591
Texan	0.0455662
protester	0.0455155
ethicists	0.045318
"social scientist"	0.0450275
idol	0.0450165
outsider	0.0449212
))
(admission (desc 73822.9) (sims
entry	0.142888
admittance	0.134335
accession	0.132867
membership	0.124267
acknowledgment	0.107398
confession	0.104442
disclosure	0.104252
ticket	0.0959106
acceptance	0.0952664
enrollment	0.0940169
acknowledgement	0.0932648
access	0.0863309
entrance	0.0838574
participation	0.0835419
testimony	0.0823462
revelation	0.0822845
payment	0.081924
transfer	0.0805673
appointment	0.0804782
Tuition	0.0801434
employment	0.0795948
fee	0.0794681
decision	0.0787501
scholarship	0.07859
statement	0.0776183
concession	0.0763715
denial	0.0763223
accreditation	0.0758827
application	0.0756816
recognition	0.0756645
purchase	0.0748016
apology	0.0747008
Promotion	0.0745691
resignation	0.0744482
accusation	0.0740076
announcement	0.0739466
inclusion	0.0730419
hiring	0.0730404
funding	0.0730164
registration	0.0727537
certification	0.0727367
allegation	0.0724952
action	0.0723768
endorsement	0.0715062
Declaration	0.0711716
integration	0.0706111
donation	0.0698755
approval	0.0698292
comment	0.0697459
"financial aid"	0.0696314
license	0.0690036
removal	0.0687993
claim	0.0685431
development	0.0685186
visit	0.0684667
plea	0.0681992
education	0.0678986
status	0.0678459
permit	0.0676766
treatment	0.0674087
withdrawal	0.067284
response	0.0670372
fare	0.0668559
Dismissal	0.0668238
recruitment	0.0668225
confirmation	0.0667915
expansion	0.0666913
clemency	0.0666785
parking	0.0665561
compensation	0.0664265
assertion	0.0663241
visa	0.0661227
commitment	0.0659932
evidence	0.0659506
reimbursement	0.0659445
resumption	0.0659407
request	0.0656185
attendance	0.0655637
contribution	0.0654115
departure	0.0652503
appeal	0.0651941
assistance	0.0650765
assurance	0.0648528
introduction	0.0647981
speech	0.0647931
program	0.0646988
policy	0.0645315
citizenship	0.0644344
subsidy	0.064334
support	0.0643294
renewal	0.0641094
remark	0.0639945
suggestion	0.0638819
listing	0.06364
eligibility	0.0635745
deployment	0.0630084
proposal	0.0629279
loan	0.0627773
selection	0.0627506
aid	0.0626934
lifting	0.062633
reduction	0.0624546
warning	0.0624318
exemption	0.0622904
examination	0.0621475
bid	0.062106
representation	0.0620126
subscription	0.0619123
criticism	0.0618838
rejection	0.0617987
package	0.0615153
accommodation	0.0613442
adoption	0.0610794
assessment	0.0609517
pardon	0.0608183
trip	0.0608168
student	0.0607903
benefit	0.0606685
complaint	0.060649
voucher	0.0606434
"medical care"	0.0605813
financing	0.0601907
extension	0.0601725
finding	0.0601017
explanation	0.0600552
service	0.06003
intervention	0.0599585
reunification	0.0599367
wage	0.0599047
salary	0.0598052
investigation	0.0597731
sale	0.0596945
asylum	0.0596597
residency	0.0596498
pledge	0.0596441
rebate	0.0595497
reform	0.0595371
settlement	0.0594778
effort	0.0593107
amnesty	0.0591405
reinstatement	0.0590748
activity	0.0590503
review	0.0589888
grant	0.058902
job	0.0588949
arrest	0.0588785
opening	0.0587221
prosecution	0.0584607
involvement	0.058386
applicant	0.0583561
waiver	0.0582779
"phone call"	0.0582765
takeover	0.0582397
repatriation	0.0581632
cancellation	0.0581394
delivery	0.0580494
invitation	0.0580336
travel	0.0578765
refund	0.0578395
cost	0.0578112
Liberalization	0.0577738
tax	0.0576295
gift	0.0575663
shipping	0.0575657
investment	0.0574764
affair	0.0574551
rental	0.0574469
case	0.0574093
success	0.0573832
failure	0.0573753
inspection	0.057236
"work permit"	0.0570595
referral	0.0569347
election	0.0569196
closure	0.0569087
evaluation	0.0568995
vote	0.0568465
induction	0.0568061
improvement	0.0567535
recommendation	0.0566128
visitor	0.0565118
deal	0.0565064
candidacy	0.0564117
attempt	0.0564093
"minimum wage"	0.0563701
coverage	0.0562773
nomination	0.0561833
performance	0.0560817
account	0.0560746
immigration	0.0560508
agreement	0.0559747
indication	0.0559375
bonus	0.055927
conclusion	0.0554857
credit	0.0553942
spending	0.0553238
presentation	0.0553171
suspension	0.0552909
demand	0.0552558
reversal	0.0552436
))
("admission fee" (desc 1515.75) (sims
"entrance fee"	0.319276
"admission price"	0.226882
co-payment	0.210924
"licensing fee"	0.179994
"user fee"	0.167762
"management fee"	0.152753
co-payments	0.135176
"service charge"	0.13312
copayments	0.124698
mil	0.11707
surcharge	0.111006
"parking ticket"	0.105025
deductibles	0.103433
"stamp duty"	0.0960922
"insurance premium"	0.0947079
"marketing cost"	0.0943503
"customs duty"	0.0930476
postage	0.092852
"property tax"	0.0916726
"purchase price"	0.0867486
surtax	0.085688
markup	0.0839935
"operating cost"	0.0837466
airfare	0.0837252
"sales tax"	0.0833544
"withholding tax"	0.0824795
Tuition	0.0803888
"value-added tax"	0.0798457
rebate	0.077532
"death benefit"	0.077326
"excise tax"	0.0772519
rental	0.076204
"inheritance tax"	0.075793
"import duty"	0.0755679
"bus fare"	0.0750333
subscription	0.0750006
"operating expenses"	0.0740108
"down payment"	0.0704904
stipend	0.0703027
"asking price"	0.0691816
"gasoline tax"	0.0683094
"consumption tax"	0.0673469
playlist	0.0672064
bequest	0.0660448
gratuity	0.065957
write-down	0.0650777
dividend	0.0643903
"Official Development Assistance"	0.0641061
"income tax"	0.0640411
"telephone bill"	0.0636134
"electric bill"	0.0635676
"list price"	0.0634119
"tax liability"	0.0633683
"a few thousand dollars"	0.0631868
"ransom money"	0.0624247
AMT	0.0613259
"phone bill"	0.0609443
"anti-dumping duty"	0.0608108
"round trip"	0.0605418
"retail price"	0.0579846
"tax bill"	0.0577164
restitution	0.057482
"asset value"	0.0567971
"capital gains tax"	0.056605
alimony	0.0565326
Blackthorne	0.0563643
increment	0.0560821
"time limit"	0.0558689
"preferred shares"	0.0557285
Duchesne	0.0554987
"legal fee"	0.0552991
"boarding pass"	0.0550494
"theater ticket"	0.0547109
"box seat"	0.0543226
outlay	0.0539563
"record price"	0.0537386
"production cost"	0.0535099
"retirement age"	0.0533408
"capital gain"	0.0532274
VAT	0.0530968
"cash payment"	0.0529266
"offering price"	0.0529017
savings	0.0527738
"about @.@@ percent"	0.0527442
millon	0.0527305
"airplane ticket"	0.0521783
"a few dollars"	0.0520742
"a few hundred dollars"	0.0516522
"production ceiling"	0.0516417
"average cost"	0.0515215
"bond rating"	0.0514176
"Social Security benefit"	0.051336
"statute of limitations"	0.0511113
Ransom	0.0509466
"occupancy rate"	0.0508719
obeisance	0.0508006
"medical bill"	0.050767
appropriation	0.0507384
"child support"	0.0506278
"ownership stake"	0.0503972
"written language"	0.0503429
reais	0.0500879
"frame of reference"	0.0499799
"price cut"	0.0498945
IOU	0.0498602
PACs	0.0496849
"parcel of land"	0.0496308
"tax increase"	0.0495958
"member bank"	0.0495865
dowry	0.0494409
markdowns	0.0492514
caseloads	0.0490316
"about $@@.@ million"	0.0490185
"endowment fund"	0.0489455
"face value"	0.0488367
"wage scale"	0.0487692
"death tax"	0.0487421
"estate tax"	0.048678
overpayment	0.0485099
goer	0.0479974
"tax rate"	0.0478866
dropoff	0.0478419
"tax base"	0.0478164
ridership	0.047796
"Truth Commission"	0.0476341
"white person"	0.0475735
Giacchetto	0.0475235
campsites	0.047353
Fares	0.0473098
hardback	0.0472479
"retirement benefit"	0.0471899
reimbursement	0.047131
"preconceived notion"	0.046991
"export quota"	0.0469503
"incubation period"	0.0467977
"Jim Druckenmiller"	0.0467167
allotment	0.0465131
viewership	0.0462738
C-section	0.0462599
"price support"	0.0462474
"defense budget"	0.0461651
"gas price"	0.0461603
"labor cost"	0.0461185
time-frame	0.0460163
"round-trip ticket"	0.0458105
sleepovers	0.0454474
"Matt Maloney"	0.04543
"funds rate"	0.0454226
"loaf of bread"	0.0454012
"gestation period"	0.0449994
Trischitta	0.0449797
"absentee ballot"	0.0448485
"about $@@.@@"	0.0446471
"international flight"	0.0445262
"cash bonus"	0.0444059
"dollar amount"	0.0442818
"tax bracket"	0.0442201
"surgical instrument"	0.0442184
overdraft	0.0442175
"revenue bond"	0.0441115
Hsia	0.0440355
"tax benefit"	0.044019
"blood bank"	0.0438571
PRICETAG	0.0436816
retainer	0.0436099
workweek	0.0435425
"operating budget"	0.0433933
"written record"	0.0433809
Swango	0.0433369
Schiffer	0.043254
"wage increase"	0.0432245
TAXES	0.043143
contingency	0.0431282
"pocket watch"	0.0430436
lifespan	0.0430416
inkling	0.0429425
"personal income"	0.0428836
ratepayer	0.0426589
"one penny"	0.0426118
"annual payment"	0.0426067
"enforcement action"	0.0425824
"spending cut"	0.0425764
"patent right"	0.0425632
Hotlines	0.0425546
Carruth	0.0425402
enrollee	0.0424546
infirmary	0.0424135
Haouari	0.0423481
"take-home pay"	0.0423043
"body temperature"	0.0422923
Tables	0.042214
"thousand dollars"	0.0422056
"interest expense"	0.0420926
"mortgage rate"	0.0420128
timeframe	0.0419504
"membership card"	0.0418554
attendees	0.0418126
"recreational facility"	0.0417459
"interest payment"	0.0416995
"Edmund Hillary"	0.0416897
))
("admission price" (desc 974.87) (sims
"admission fee"	0.226882
"entrance fee"	0.211041
co-payment	0.152013
mil	0.147422
Fares	0.128911
"pay rate"	0.119848
"service charge"	0.118043
"list price"	0.114119
co-payments	0.111277
"key rate"	0.105355
HARDCOVER	0.103582
caseloads	0.100993
"retail price"	0.0979023
"user fee"	0.0929828
"selling price"	0.0902627
"bank rate"	0.089739
"management fee"	0.0868805
"tax rate"	0.0848697
threshhold	0.0837267
"sticker price"	0.0837197
"purchase price"	0.0836099
"round-trip ticket"	0.08133
"poverty rate"	0.0809326
"noise level"	0.0786811
"phone bill"	0.0775063
"take-home pay"	0.0765313
"borrowing cost"	0.0764421
"Social Security benefit"	0.0763217
"operating expenses"	0.0749944
"wage scale"	0.0745322
"insurance premium"	0.0733199
stipend	0.0730881
"discount rate"	0.0727232
goer	0.0720673
PRICETAG	0.0719054
"retirement age"	0.0718583
"electric bill"	0.0715385
"turnover rate"	0.0710595
surcharge	0.0708951
rulebook	0.0707676
"bus fare"	0.0703332
"operating cost"	0.0699098
deductibles	0.0697433
copayments	0.0694991
"consumption tax"	0.068945
"annual payment"	0.0685882
"rec room"	0.0684673
workweek	0.0683359
"flow rate"	0.0683246
"production cost"	0.0682937
"retail price index"	0.0679103
"parking ticket"	0.0676743
"box seat"	0.0676659
"marketing cost"	0.0676512
"licensing fee"	0.0675946
"production ceiling"	0.0668367
"ransom money"	0.0667011
"funds rate"	0.0658178
"occupancy rate"	0.065407
"incubation period"	0.0653678
"shock therapy"	0.064415
surtax	0.0640526
airfare	0.0636293
TAXES	0.0633405
playlist	0.0628706
postmark	0.0626831
"body temperature"	0.062541
"operating budget"	0.0618408
"gasoline tax"	0.0616242
"goose bumps"	0.0608358
"import duty"	0.0608208
"price change"	0.0607764
rowdiness	0.0604459
"face value"	0.0603354
"response time"	0.0603267
postage	0.0596807
"revenue bond"	0.0594488
overdraft	0.0593647
"asset value"	0.0593464
"fertility rate"	0.0592378
birthrate	0.0588947
"wage increase"	0.0584982
caseload	0.058451
"tax treatment"	0.0582206
dosage	0.0578773
"speed limit"	0.0578033
roundtrip	0.0571126
"death benefit"	0.0566596
inhibition	0.056545
"property tax"	0.0563185
"asking price"	0.0562312
enrolment	0.0560933
"tool kit"	0.0559471
"medicare payment"	0.0558344
"gestation period"	0.0558081
p/e	0.0556922
"river bed"	0.0556835
"trade barrier"	0.0555691
"disability payment"	0.0554294
"heart rate"	0.0553511
"modus operandi"	0.0546775
molar	0.0546469
pedicure	0.0544309
"transfer payment"	0.0544138
"quarter horse"	0.0543858
"customs duty"	0.05404
IQ	0.053871
storeroom	0.0537002
"capital gains tax"	0.0532991
brainpower	0.0532888
Ewe	0.0532387
"preferred shares"	0.0532385
"about $@@.@@"	0.0530907
"average cost"	0.0529553
"theory of relativity"	0.0528276
alimony	0.0528237
payouts	0.0526641
"tax bracket"	0.0526603
"gas price"	0.0525363
"tax bill"	0.0525264
"Official Development Assistance"	0.0523723
outlay	0.0518283
"interest expense"	0.0518134
"compensation package"	0.0517331
workday	0.0515791
"cost structure"	0.051466
"bond rating"	0.05127
"savings bond"	0.0510038
"beer drinker"	0.0508784
"a few hundred dollars"	0.050807
"standard of living"	0.0508038
"ticket stub"	0.0507899
"rate of exchange"	0.050764
wage-earner	0.0507105
latte	0.0506902
reais	0.0506753
"mortality rate"	0.0505938
"tax income"	0.0502651
"working day"	0.0500148
"white flag"	0.0499615
"dollar amount"	0.049928
joblessness	0.0498953
"excise tax"	0.0497413
supplicant	0.0497071
"death rate"	0.0496793
"telephone bill"	0.0495795
readership	0.0495474
"fringe benefit"	0.0495294
grabber	0.0494552
warranty	0.0493542
"theater ticket"	0.0491198
"welfare worker"	0.0490429
"earning per share"	0.0490045
worldview	0.0489936
hardback	0.0489596
Synod	0.0487056
"gross income"	0.0483267
lifespan	0.0482624
"medical checkup"	0.0482575
chairlift	0.0480978
"foot traffic"	0.0480189
urination	0.0480039
"offering price"	0.0475625
"rule of thumb"	0.0474157
millon	0.0473691
throughput	0.0472898
suffrage	0.046588
daycare	0.0465772
"Producer Price Index"	0.0465254
"retirement benefit"	0.0464815
concessionaire	0.0464178
"white person"	0.0463663
payout	0.0463652
"down payment"	0.0463628
"rate of inflation"	0.0462819
"birth rate"	0.0460631
"legal age"	0.046033
"train ticket"	0.0459671
"day of reckoning"	0.0459599
adoptees	0.0455669
"equity fund"	0.0455132
internist	0.0454365
staterooms	0.0453804
interbank	0.0453382
"Next Generation"	0.0450884
mammograms	0.0450215
"piano lesson"	0.044951
"inheritance tax"	0.0448955
"fig leaf"	0.0448923
"tax liability"	0.0447303
"court martial"	0.0446643
"milk cow"	0.0445921
exerciser	0.0445798
ringside	0.0445354
physicals	0.0444101
Gibbon	0.0443602
"one million US dollars"	0.0443005
"over .@@@"	0.0442909
two-by-four	0.0442693
"tax benefit"	0.0441625
))
(admittance (desc 4133.18) (sims
admission	0.134335
accession	0.10633
NTR	0.072109
induction	0.0677073
readmission	0.0664904
adhesion	0.062888
joining	0.0614149
"Shan State"	0.0588024
accreditation	0.0559423
inclusion	0.0559125
reentry	0.0555196
"State Peace and Development Council"	0.0525822
incorporation	0.0525512
hosting	0.050657
"marriage license"	0.0505416
"work permit"	0.0491817
"legal status"	0.0474644
ascension	0.0463141
"financial obligation"	0.0449185
swearing-in	0.0446284
enshrinement	0.0442634
"first exposure"	0.0436382
"Ford Escort"	0.0433747
reinstatement	0.0432501
renomination	0.0430566
entree	0.0423139
"death benefit"	0.0422578
reintegration	0.0409238
))
(admonition (desc 7011.65) (sims
dictum	0.0842061
adage	0.0782564
rebuke	0.0754372
instruction	0.0752502
axiom	0.0726228
exhortation	0.072404
encouragement	0.0716569
entreaty	0.0660016
reprimand	0.0654065
summons	0.065106
rejoinder	0.0644408
directive	0.0628476
pronouncement	0.0626647
refrain	0.0602959
condemnation	0.0598964
Truism	0.059414
denunciation	0.0593765
urgings	0.0592415
benediction	0.0587951
plea	0.0584064
"warning signal"	0.0574858
"word of advice"	0.0572684
commandment	0.0570178
ultimatum	0.0565968
pledge	0.0559607
disclaimer	0.0558307
reassurance	0.0554194
protestation	0.0542208
assertion	0.053659
denouncement	0.0536072
critique	0.0533568
RIPOSTE	0.0529405
edict	0.0519443
eulogy	0.0517538
"civic duty"	0.0510202
apology	0.0508524
"personal appeal"	0.0507924
assurance	0.0506506
phrase	0.0504309
reminder	0.0503497
query	0.0500546
intangible	0.0494939
"form letter"	0.0493448
prophecy	0.0492745
denial	0.049207
utterance	0.0490878
maxim	0.0487631
harangue	0.0484049
reasoning	0.0479639
stricture	0.0478737
overture	0.0477213
"sales pitch"	0.0474594
prodding	0.047416
advisories	0.0473094
acknowledgment	0.046723
broadside	0.0466936
observation	0.0464595
citation	0.0463038
injunction	0.0461375
rebuttal	0.0460092
soliloquy	0.0458441
retort	0.0456334
proverb	0.0456117
"phone call"	0.0455844
committment	0.0453902
clarification	0.0453542
"marriage proposal"	0.0452804
objection	0.0451758
testimonial	0.0450305
refusals	0.0450296
"hue and cry"	0.0444454
"all clear"	0.0441978
jeremiad	0.0440873
culpa	0.0436078
rhetoric	0.0433939
notification	0.0433777
salutation	0.043307
quotation	0.0427663
proscription	0.042469
gaffe	0.0424648
disapproval	0.0424015
summation	0.0423909
missive	0.0423738
transgression	0.0422633
comeuppance	0.042201
double-teams	0.0421675
compliment	0.042059
greeting	0.0419402
prophet	0.041799
caveat	0.041615
abdication	0.041579
epiphany	0.0415057
tidings	0.0413867
indoctrination	0.0413714
"Hail Mary"	0.041349
verse	0.0413425
witticism	0.041238
go-ahead	0.0409978
"moral obligation"	0.0409108
hypotheses	0.0408945
"piece of music"	0.0405665
soundbites	0.0404715
sermon	0.0403531
acknowledgement	0.0402906
"knockout punch"	0.0400565
))
(ADO (desc 2864.96) (sims
"sour grapes"	0.117182
"hue and cry"	0.0842357
gung-ho	0.0757346
nonevent	0.0742266
"wishful thinking"	0.0731512
fuss	0.0725876
"waste of time"	0.0639411
"smoke screen"	0.0599673
aberration	0.0557258
"standard operating procedure"	0.0555311
hand-wringing	0.0551256
"Queen Mary"	0.0485989
"difference of opinion"	0.0482371
"snake oil"	0.0478571
misperception	0.046107
"second tour"	0.0456168
"trial and error"	0.0443147
posturing	0.0431811
Nuisance	0.042791
"piece of cake"	0.0426575
exaggeration	0.0424595
gossiping	0.042023
adage	0.0419789
rubbish	0.0412932
elaboration	0.0412905
gibberish	0.0409572
"Julius Caesar"	0.040708
credence	0.0405845
"public knowledge"	0.0404754
))
(adobe (desc 7008.62) (sims
Corel	0.165903
Cisco	0.139882
MiniMed	0.13617
"Thermo Electron"	0.129067
RealNetworks	0.127245
Novell	0.124567
Amgen	0.123418
Nortel	0.121496
oracle	0.12095
"Advanced Micro"	0.117831
Symantec	0.116816
EMC	0.115707
Seagate	0.114957
Kodak	0.114336
clapboard	0.113822
TYCO	0.113675
Ciena	0.113519
Compaq	0.112612
MACROMEDIA	0.111748
"Computer Associates"	0.11125
"Adobe Systems"	0.109604
ALZA	0.108091
"P&AMP;G"	0.107931
Gillette	0.106917
HP	0.106343
COLTEC	0.106085
Checkfree	0.105601
Starwood	0.105397
Genzyme	0.105318
CNET	0.104294
E-LOAN	0.104105
Mattel	0.103596
Honeywell	0.103165
Qualcomm	0.101499
Lucent	0.101021
ARCO	0.100649
McKesson	0.100603
ascend	0.0991825
Dell	0.0987304
Pepsico	0.0985541
Polaroid	0.0983493
"Apple Computer"	0.0983283
Motorola	0.0980861
Weyerhaeuser	0.0979287
Nabisco	0.0971714
Sunbeam	0.0967308
Broadcom	0.0965712
Bestfoods	0.0960853
UAL	0.0960499
Kellogg	0.0959643
"U.S. Trust"	0.0958439
RJR	0.0954706
Scientific-Atlanta	0.0953935
Broderbund	0.0951518
Hewlett-Packard	0.0950389
Ericsson	0.0938302
Tandy	0.0936328
Intel	0.0931012
Intuit	0.0927924
Litton	0.0922772
PEOPLESOFT	0.0920964
AutoNation	0.0920765
"MindSpring Enterprises"	0.091983
ENTREMED	0.0919069
"Dell Computer"	0.0918038
Informix	0.0916315
"Texas Instruments"	0.0915188
"Real Networks"	0.0910491
"Dell Computer Corp."	0.0909935
Xerox	0.0900532
"American Home"	0.0896127
Peapod	0.0892391
Agilent	0.0891323
Corning	0.0888302
AMD	0.0887977
Nextel	0.0886877
Livent	0.088405
NatWest	0.088354
Schlumberger	0.0877439
IBM	0.0877333
Healtheon	0.087678
Conseco	0.0875601
Emulex	0.0872203
"Silicon Graphics"	0.0870059
GANNETT	0.0868288
BankAmerica	0.0865699
Berkshire	0.0858772
"HBO &AMP; Co."	0.0858703
Genentech	0.0856612
Georgia-Pacific	0.0856215
Clorox	0.0856131
TELLABS	0.0852227
"National Semiconductor"	0.0849676
Cendant	0.0849157
SmithKline	0.0848698
CMGI	0.0847155
stucco	0.0846741
Biogen	0.0846681
Sepracor	0.0843942
Aetna	0.0843841
"Sun Microsystems"	0.0840925
"Pacific Century"	0.0838539
Netscape	0.0837915
"Times Co."	0.083791
Pairgain	0.0836897
Inktomi	0.083475
Pfizer	0.0834093
"cinder block"	0.0833236
"Compaq Computer"	0.0832394
Seagram	0.0831858
AMR	0.0829469
Maytag	0.0827055
NiSource	0.0823788
Iomega	0.0822805
"Lucent Technologies"	0.0821093
Delphi	0.0820049
"Boston Scientific"	0.0818892
Autodesk	0.081808
SGI	0.0817028
"Rite Aid"	0.0808256
Raytheon	0.0808083
VENATOR	0.0807014
"Procter &AMP; Gamble"	0.080265
Merrill	0.0799533
Reebok	0.0799188
Dupont	0.0798777
Nokia	0.0796237
Unisys	0.0795917
Chiron	0.0795324
"Global Crossing"	0.0793913
Norwest	0.0789893
SBC	0.0788032
"First Union"	0.0786531
Cabletron	0.078651
Penney	0.0784738
ExciteAtHome	0.0783854
"BP Amoco"	0.0782326
EarthLink	0.0781549
Alcan	0.0780216
Hasbro	0.0775133
Broadcast.com	0.0772425
Daimler	0.0772412
Halliburton	0.0770268
Petrofina	0.0769578
Webvan	0.0768348
CCE	0.0767994
Goodyear	0.07673
"Union Carbide"	0.076704
"Times Mirror"	0.0767002
Lotus	0.0766098
Lycos	0.076587
NORTHROP	0.0763718
GeoCities	0.0762857
Mannesmann	0.0761574
Schwab	0.075585
"America West"	0.0755548
Merck	0.0754109
Gilead	0.0751344
Healtheon/WebMD	0.0751033
"Motorola Inc."	0.0749834
MindSpring	0.0749484
REVLON	0.0749146
"Dow Chemical"	0.0748866
Tenneco	0.0746363
Qwest	0.0745585
Ge	0.0745046
"RJR Nabisco"	0.0744308
lakeside	0.0743049
Lego	0.0742876
Monsanto	0.0741159
"Ask Jeeves"	0.073957
Priceline	0.0739397
Viacom	0.073845
Lockheed	0.0735914
"Intel Corp."	0.0735063
Zeneca	0.0732082
Micron	0.0731206
"MCI WorldCom"	0.0729096
"Waste Management"	0.0723635
"International Paper"	0.072307
Wachovia	0.0722662
"Red Hat"	0.0722113
"Wells Fargo"	0.0720632
"Hongkong Telecom"	0.0720567
Telefonica	0.0719297
XYLAN	0.0717407
"U S West"	0.0717072
Scripps	0.071656
GTE	0.0716449
Alcoa	0.071295
PLDT	0.0710962
Equifax	0.0710561
Warner-Lambert	0.0709205
Humana	0.0704274
"Stride Rite"	0.070406
"Liquid Audio"	0.0703089
Echostar	0.0702544
"Cisco Systems"	0.0700624
"Mattel Inc."	0.0699953
WPP	0.0698082
))
("Adobe Systems" (desc 1366.63) (sims
"Applied Materials"	0.154006
"Texas Instruments"	0.148799
Sepracor	0.14875
Immunex	0.138231
Autodesk	0.137093
"National Semiconductor"	0.136263
Albertson's	0.135654
E-LOAN	0.130163
"Sun Microsystems"	0.130063
"Motorola Inc."	0.129009
Novell	0.127684
Nortel	0.127033
Alcoa	0.125645
oracle	0.12437
Broadcom	0.124155
Amgen	0.121117
Hewlett-Packard	0.120536
"Campbell Soup"	0.11982
"Cisco Systems"	0.11873
"Compaq Computer"	0.118598
"HBO &AMP; Co."	0.117659
ExciteAtHome	0.117609
BankAmerica	0.11724
Unisys	0.11647
Cisco	0.115751
"Dell Computer"	0.114617
Xerox	0.114528
XYLAN	0.113726
Networks	0.113444
Alcatel	0.112702
"Diamond Multimedia"	0.1125
Genentech	0.111093
TELLABS	0.111061
Honeywell	0.110139
PEOPLESOFT	0.109831
EMC	0.109803
Bestfoods	0.109772
Maytag	0.109699
"Computer Associates"	0.109621
adobe	0.109604
"Apple Computer"	0.108658
Seagate	0.108106
Qualcomm	0.107233
Ericsson	0.107051
"Advanced Micro"	0.10605
Biogen	0.105198
"UAL Corp."	0.104872
Medtronic	0.1046
SGI	0.104235
Ciena	0.102853
UAL	0.10274
Ameritech	0.10239
Associates	0.101468
"Dell Computer Corp."	0.101369
Intel	0.100328
Aetna	0.0998241
"Sun Microsystems Inc."	0.0994269
"Micron Technology"	0.099009
"International Paper"	0.0979881
ALZA	0.0979058
"Intel Corp."	0.0978645
Dupont	0.0977716
YPF	0.0973129
"Eli Lilly"	0.0966152
Motorola	0.0964465
"Cisco Systems Inc."	0.0963814
Italia	0.0955503
NatWest	0.0954411
"EMC Corp."	0.094907
Echostar	0.094343
Omnipoint	0.0933113
Bristol-Myers	0.0932029
"KLM Royal Dutch Airlines"	0.0930794
"Circuit City"	0.0929548
Hasbro	0.0929314
SDL	0.0928917
"Nortel Networks"	0.0921394
Intuit	0.0911097
Intl	0.0903234
Asarco	0.0901035
BUSINESSES	0.0900938
"Hongkong Telecom"	0.0900305
WorldCom	0.0899227
AstraZeneca	0.0897776
"Lucent Technologies"	0.0897553
"Silicon Graphics"	0.089471
Philips	0.0894623
Stratus	0.0889164
"Advanced Micro Devices"	0.0887186
"Digital Equipment Corp."	0.0887006
"Chase Manhattan"	0.0882229
COLTEC	0.0880923
Anheuser-Busch	0.0874416
Sunbeam	0.0873976
"Learning Company"	0.0873466
GANNETT	0.0871694
HBOC	0.086846
"Atlantic Richfield"	0.0868369
Nextel	0.0867646
"IBM Corp."	0.0867308
HomeGrocer.com	0.0864705
Informix	0.0860358
Compaq	0.0860101
Lycos	0.0856301
AMD	0.0849224
"Linus Torvalds"	0.0844077
Monsanto	0.0842596
"Exxon Mobil"	0.0840052
"Eastman Kodak"	0.0839922
Fujitsu	0.0835548
"Real Networks"	0.0834579
Wachovia	0.0830147
GTE	0.0829902
"Bay Networks"	0.0829725
Georgia-Pacific	0.0828369
"J.P. Morgan"	0.0828346
Nokia	0.0826289
"JDS Uniphase"	0.0826145
Enron	0.0823588
"Procter &AMP; Gamble"	0.0822664
Kodak	0.0822544
Merck	0.0822475
"Compaq Computer Corp."	0.0822338
"GTE Corp."	0.0816448
"Ameritech Corp."	0.0813943
Primedia	0.0812454
"Network Associates"	0.0812244
McKesson	0.0811089
"Liz Claiborne"	0.0807923
"First Union"	0.0806428
"Waste Management"	0.0806099
Scientific-Atlanta	0.0805522
"Gap Inc."	0.0805424
PaineWebber	0.0805349
Broderbund	0.0805332
BOC	0.0805267
"BellSouth Corp."	0.0804726
"Mattel Inc."	0.0804305
"Learning Co."	0.080379
Handspring	0.080349
Mobil	0.0802372
"Fred Meyer"	0.0801663
Cabletron	0.080123
Tandy	0.0800951
NORTHROP	0.0798675
Dresdner	0.0795854
Tropicana	0.0795486
Asda	0.0795374
COS.	0.0795007
"Fannie Mae"	0.0791369
CMG	0.0790744
TCI	0.0786723
Gilead	0.0786468
Novartis	0.078547
"Microsoft Corp."	0.078367
Corning	0.0783389
Allstate	0.0783274
Schlumberger	0.0782788
Raytheon	0.0781918
Emulex	0.0776658
SunTrust	0.0773636
"General Electric"	0.0773411
"U S West"	0.0770462
"Federated Department Stores"	0.0769979
TRW	0.0766911
Petrofina	0.0764907
"Boeing Co."	0.0764641
"International Business Machines Corp."	0.0764503
Viacom	0.0764216
"Hewlett-Packard Co."	0.076145
"Mobil Corp."	0.0760983
Embraer	0.0760691
Weyerhaeuser	0.0758712
Dell	0.0758453
Kellogg	0.0757429
Iomega	0.0755933
Checkfree	0.0755793
Paribas	0.0755164
Caterpillar	0.0754536
Broadcast.com	0.0754268
"Lockheed Martin Corp."	0.0752525
"Netscape Communications"	0.0750786
Agilent	0.0748116
Chevron	0.0747434
AMR	0.0747372
"American Express"	0.074732
Nabisco	0.0746753
Scania	0.0746379
AmeriTrade	0.0745541
Inc.	0.0743462
Citigroup	0.0743453
Lockheed	0.0743268
Starbucks	0.0743195
"U.S. STOCKS"	0.0741704
AMP	0.0741467
"CBS Corp."	0.0740561
"Softbank Corp."	0.0738968
"Philip Morris Cos."	0.0738211
"Gillette Co."	0.0736134
"Delphi Automotive Systems"	0.0733404
))
(adolescence (desc 12430.5) (sims
adulthood	0.108563
Childhood	0.0947483
puberty	0.0926219
boyhood	0.0699935
womanhood	0.0682604
manhood	0.0647307
"old age"	0.06013
adolescent	0.0577033
upbringing	0.0553638
menopause	0.0547496
"middle age"	0.0500842
homesickness	0.0488404
teens	0.0473343
"third millennium"	0.0456037
ordeal	0.0425882
purgatory	0.0425496
"professional life"	0.0423264
"early childhood"	0.042239
motherhood	0.0415119
catharsis	0.040288
trauma	0.0401804
))
(adolescent (desc 21160.2) (sims
teen-ager	0.149158
teens	0.139731
teenager	0.134414
adult	0.125346
youngster	0.121323
"college student"	0.108375
youth	0.106651
child	0.105777
kid	0.0998172
infant	0.0935431
male	0.0930945
elderly	0.0906085
"senior citizen"	0.0890715
girl	0.0869733
"foster child"	0.0863853
"young woman"	0.0862916
smoker	0.0861708
preschoolers	0.0852082
"young man"	0.0850707
juvenile	0.0838086
student	0.0829705
patient	0.0807906
boy	0.07913
aged	0.0780267
toddler	0.0776801
orphan	0.0775673
"young girl"	0.0773981
"drug addict"	0.0764742
newborns	0.075692
athlete	0.073468
African-American	0.0733337
senior	0.0729412
addict	0.0726328
female	0.0724533
schoolchildren	0.0720916
"married woman"	0.0718646
"AIDS patient"	0.0712604
"black woman"	0.0710952
"baby boomer"	0.0697841
pupil	0.0694982
Latino	0.0691113
parent	0.0685397
individual	0.0684017
consumer	0.0680028
centenarian	0.0678575
Hispanic	0.066993
"juvenile delinquent"	0.0664934
inmate	0.0663372
drinker	0.065998
mother	0.065492
schoolers	0.0650476
citizen	0.0646493
homeowner	0.0640682
diabetic	0.0637375
grader	0.0636335
grown-up	0.0634739
baby	0.063423
offender	0.0628678
immigrant	0.0624275
adoptees	0.0621835
"black man"	0.0621384
Reader	0.0620179
housewife	0.0606696
prostitute	0.0602153
"white man"	0.0601231
minority	0.0600134
alcoholic	0.059911
Beijingers	0.0597976
disabled	0.0595864
abuser	0.0592179
farmer	0.0588812
viewer	0.0588352
"drug user"	0.0584033
retiree	0.0577821
homeless	0.0577272
adolescence	0.0577033
undergraduate	0.0576239
learner	0.0571426
teacher	0.0570258
loner	0.0568939
Haitian	0.0567781
"little girl"	0.056767
"American Indian"	0.0566895
sufferer	0.0561726
urbanites	0.0561056
criminal	0.0560098
shopper	0.0560081
listener	0.0559156
"New Yorker"	0.0558277
Tibetans	0.0556547
"little boy"	0.0554136
animal	0.0553999
respondent	0.0553252
Cuban	0.0552872
applicant	0.0552692
folk	0.05513
graduate	0.055045
pet	0.054983
eighth-graders	0.0549122
runaway	0.0548783
enlistee	0.0547822
delinquent	0.0547437
elder	0.0544307
traveler	0.0542697
participant	0.0541677
professional	0.0540654
recipient	0.054013
voter	0.0540111
minor	0.0537936
Mexican	0.0537798
Kenyan	0.053635
lesbian	0.0535984
outcast	0.0534772
"sports fan"	0.0534388
Californian	0.0534003
"job seeker"	0.0532277
dropout	0.0531613
artist	0.0529003
mom	0.0528397
schizophrenic	0.0527934
gambler	0.052769
lover	0.0527261
"university student"	0.0525825
"small farmer"	0.0525296
"business traveler"	0.0521912
Catholic	0.0521381
parishioner	0.0519204
household	0.0518793
"young person"	0.0517249
musician	0.051645
protagonist	0.0516069
user	0.0515022
Texan	0.0514807
"over @@"	0.0512261
fetus	0.051026
"African Americans"	0.0508731
Londoner	0.0506336
tyke	0.0506326
moviegoer	0.0505707
filmmakers	0.05057
jock	0.0504454
Atlantans	0.0504027
sibling	0.0503219
"human being"	0.0502994
driver	0.0502801
tourist	0.0501903
"white woman"	0.0500946
taxpayer	0.0500264
grandparent	0.0498678
"age group"	0.0497671
migrant	0.0496564
entrepreneur	0.049403
surfer	0.0490848
homosexual	0.0488668
"medical student"	0.0488054
physician	0.0487402
alien	0.048489
performer	0.0484866
dweller	0.0484847
nurse	0.0484334
"public servant"	0.0483834
civilian	0.0483714
"union member"	0.0481388
Jew	0.0479606
"married man"	0.0479244
"married couple"	0.0479195
herdsmen	0.0477942
clergy	0.0473895
skier	0.0471379
"people of color"	0.0471176
electorate	0.0470602
midshipmen	0.0470132
Fishermen	0.0469199
"home buyer"	0.0467789
servicemen	0.0467656
freshmen	0.0467094
"heroin addict"	0.046606
Ukrainians	0.0465433
puppy	0.0464812
outsider	0.0464542
Gay	0.0464058
"old man"	0.0463982
servant	0.0463722
panda	0.0463457
"farm worker"	0.0463221
"middle class"	0.0462602
low-income	0.0462464
"music lover"	0.0462317
peasant	0.0461847
"church member"	0.0461482
Filipino	0.0461236
sailor	0.0460738
"graduate student"	0.0460421
foreigner	0.0459094
boomer	0.0457696
schoolboy	0.0457631
scientist	0.0456882
laborer	0.0456256
Kurds	0.0455559
student-athletes	0.0455496
))
("Adolf Eichmann" (desc 1451.05) (sims
Eichmann	0.157075
"Anne Frank"	0.117486
"Lee Kuan Yew"	0.0951712
"Manuel Noriega"	0.0819226
U-boat	0.0721862
"Radovan Karadzic"	0.0714759
Klemperer	0.0696883
"work camp"	0.0696009
"Lillian Hellman"	0.0695557
"Theodore Kaczynski"	0.0695373
Rabe	0.0693005
Sacco	0.0692802
EX-COMMUNISTS	0.0691579
amis	0.0667422
"wasting away"	0.0628312
"Yigal Amir"	0.0608698
Julius	0.0602742
"storm trooper"	0.0599409
"form letter"	0.0591081
Kaczynski	0.0586573
"Terry Nichols"	0.058295
Nijinsky	0.0579017
"Ken Saro-Wiwa"	0.0577642
resister	0.0576237
Cheung	0.0575365
"Green Line"	0.057411
Lileikis	0.0572876
"Karla Faye Tucker"	0.0565833
NLRB	0.05633
"Gary Graham"	0.0559916
"Ta Mok"	0.0557425
Krasniqi	0.0546573
Priebke	0.0542405
Northup	0.0539685
"Frank McCourt"	0.0535958
"Adolf Hitler"	0.053486
"Patty Hearst"	0.0530266
"bank failure"	0.0527727
"Andrew Johnson"	0.0527189
"Edwin Edwards"	0.0512551
"Israeli Embassy"	0.051043
McMurtry	0.0509462
Eggers	0.0504306
Mitnick	0.0496925
RU-@@@	0.0494152
bitch	0.0490241
"Mia Farrow"	0.0489404
"Louise Woodward"	0.0489265
cataclysm	0.0484723
"Kathleen Kennedy Townsend"	0.0484662
Lo	0.0484214
Allchin	0.048329
Dokmanovic	0.0481769
Ntuyahaga	0.0476221
"Ian McKellen"	0.0476163
"Dinko Sakic"	0.0466618
Ouattara	0.0462788
Lindbergh	0.0458298
"Timothy McVeigh"	0.0456672
Blackthorne	0.0454294
Hynes	0.0453935
Kodikian	0.0453369
McVeigh	0.0446105
Fascism	0.0445268
"Shawn Berry"	0.0440913
"air force officer"	0.043772
Chinese-Indonesians	0.0434133
"Russell Henderson"	0.0434052
"William Styron"	0.0432465
Neulander	0.0432319
"A.P Indy"	0.0430142
McNamara	0.0424452
Salvadoran	0.0423625
Karbaschi	0.04233
O'Hair	0.0423125
Ayatollah	0.0422735
Stephanopoulos	0.0420718
Markhasev	0.0419977
"Richard Ashby"	0.041992
Elhage	0.0419744
"Abdullah Ocalan"	0.0419692
Cayugas	0.0419258
TARPLEY	0.0417165
"Greek Orthodox Church"	0.0414464
imposter	0.0414396
lawmen	0.0413967
commandant	0.0413215
"Oliver North"	0.0412496
Papon	0.0409336
Salinger	0.0408985
"Iranian Jews"	0.0408027
Kincaid	0.0407588
Fahey	0.0406648
"Thursday, Sept @@"	0.0404839
Edson	0.0402977
"Bosnian Croat"	0.0402938
"Russell Peeler"	0.0402585
"Tuesday, June @@"	0.0402021
"Tuesday, Aug @@"	0.040058
))
("Adolf Hitler" (desc 8656.13) (sims
Hitler	0.19728
"Nazi Germany"	0.108896
"Idi Amin"	0.105545
"Fidel Castro"	0.0947388
Mussolini	0.0861342
Saddam	0.0813234
"Saddam Hussein"	0.0808043
"Abraham Lincoln"	0.0788486
"Mao Tse-tung"	0.0779675
Stalin	0.0766162
"Francisco Franco"	0.0762011
Mobutu	0.0726584
"Josef Stalin"	0.0708764
"Manuel Noriega"	0.0695917
"Slobodan Milosevic"	0.0680202
Mao	0.0657608
"Ronald Reagan"	0.0653375
Mitterrand	0.0649912
"George Washington"	0.0624835
Nazi	0.061584
"Pol Pot"	0.0615437
Hussein	0.0598054
"Martin Luther King Jr."	0.0595111
"Karl Marx"	0.0592166
"Ayatollah Khomeini"	0.0591368
"John Paul II"	0.0587809
"Robert E. Lee"	0.0584752
Milosevic	0.0584469
Castro	0.0580655
"Martin Luther King"	0.0578576
"Mobutu Sese Seko"	0.0572365
"Mohamed Siad Barre"	0.0572031
"Mao Zedong"	0.0565891
Rabin	0.0562782
"Dr. Sun Yat-Sen"	0.0562396
"Hafez Assad"	0.0561639
"Mother Teresa"	0.0561136
"Robert F. Kennedy"	0.0548036
Guevara	0.0546621
"John F. Kennedy"	0.0542166
"King Bhumibol Adulyadej"	0.0541393
"Albert Einstein"	0.0540796
Gandhi	0.0540551
"Simon Bolivar"	0.0539276
"Ernest Hemingway"	0.0538203
Buddha	0.0535514
"Adolf Eichmann"	0.053486
Suharto	0.0529562
Batouty	0.0522089
Nkomo	0.0518864
"Kim Jong Il"	0.0517525
"Elvis Presley"	0.0515998
Abacha	0.0514013
dictator	0.0511032
"Helmut Kohl"	0.0510895
Reagan	0.0507815
Lenin	0.0506775
Confucius	0.0506562
Napoleon	0.0506439
Meciar	0.0506058
"Queen Elizabeth"	0.0504796
"Princess Diana"	0.0502977
Dudayev	0.0501972
"Bill Clinton"	0.0501138
"Boris Yeltsin"	0.0500628
Assad	0.0498532
Kai-shek	0.0495631
Khomeini	0.0494526
"Khmer Rouge"	0.049217
"work camp"	0.0489578
"Queen Victoria"	0.0481455
Sacagawea	0.0480002
"Julius Caesar"	0.0478271
"civil rights leader"	0.0477217
FDR	0.0477117
Nazism	0.0475682
"Moammar Gadhafi"	0.0474601
Yat-sen	0.0473705
fascist	0.0471715
emperor	0.0468738
Fascism	0.0466412
JFK	0.0463965
"Lyndon B. Johnson"	0.0463189
"King Hussein"	0.0462687
"P.T Barnum"	0.0461106
Einstein	0.0459973
Arafat	0.0457979
Yeltsin	0.0456983
"Thomas Jefferson"	0.0456805
"Theodore Roosevelt"	0.0456464
Amin	0.0456124
"Jesus Christ"	0.045602
Zhou	0.045474
Koresh	0.0454724
"Muhammad Ali"	0.0454548
Laden	0.0452668
"Harry Truman"	0.0450699
Rugova	0.0450186
"Andrew Jackson"	0.0448352
"gas chamber"	0.0447364
"Richard Nixon"	0.0446796
Bismarck	0.0446778
"Winston Churchill"	0.0446352
"Dalai Lama"	0.0445865
Aristide	0.0444211
"El Hage"	0.0443864
Savimbi	0.0442484
Lukashenko	0.0442136
Guei	0.0441659
"George Bush"	0.0441092
Djukanovic	0.0436956
Presley	0.0433648
"Malcolm X"	0.043254
Peres	0.0432214
Cheung	0.0432205
"Ferdinand Marcos"	0.0432106
DiMaggio	0.0431698
"Communist China"	0.0431676
zeppelin	0.0428455
Papon	0.0427406
"John Belushi"	0.0427374
Kim	0.0426934
"George Gershwin"	0.0426708
"Lyndon Johnson"	0.042635
"queen mother"	0.0425632
Menem	0.0425549
Jesus	0.0424259
"Yitzhak Rabin"	0.0422421
Diana	0.0421864
Klestil	0.0421197
Trudeau	0.0420498
"Speaker Ali Akbar Nateq-Nouri"	0.0420357
Sharif	0.0418923
"Deng Xiaoping"	0.0417963
"Nelson Mandela"	0.0416819
"Kurt Cobain"	0.0416666
"Queen Elizabeth II"	0.0416555
"Michael Dukakis"	0.041636
Nickerson	0.0415662
Sezer	0.0415191
"Margaret Thatcher"	0.0414464
pontiff	0.0414298
Cobain	0.0412824
shah	0.0412008
Goethe	0.0411924
U-boat	0.0411628
"Che Guevara"	0.041056
Garang	0.0410094
Ceausescu	0.040973
Christ	0.0407782
"Pope John Paul II"	0.0407169
Truman	0.0406244
ruler	0.0405684
"Sani Abacha"	0.0404773
Gritz	0.0404259
Marx	0.0403221
"Joseph McCarthy"	0.040322
Lincoln	0.0402674
Khatami	0.040236
deceased	0.0401934
))
(Adonis (desc 4443.58) (sims
"Desert Hero"	0.223853
Valhol	0.21546
"Lemon Drop Kid"	0.209239
"Worldly Manner"	0.199092
vicar	0.192068
Wondertross	0.191521
"Kimberlite Pipe"	0.191102
"Stephen Got Even"	0.177226
Menifee	0.167927
"Cat Thief"	0.155075
Behrens	0.146135
Anees	0.130132
"Answer Lively"	0.128391
Silverbulletday	0.12191
"River Keen"	0.119572
Daylami	0.116678
"Prime Timber"	0.113781
charismatic	0.113636
"Victory Gallop"	0.109222
"Cash Run"	0.107678
"Red Bullet"	0.105325
"Excellent Meeting"	0.104531
"Free House"	0.103888
"High Yield"	0.103576
"Thunder Gulch"	0.100993
"Favorite Trick"	0.0973082
"Nick Zito"	0.0971916
"Running Stag"	0.0970181
"Fusaichi Pegasus"	0.0968072
"Puerto Madero"	0.0919188
Malek	0.0907938
Artax	0.0905942
"War Chant"	0.089161
"Ecton Park"	0.0883836
"Beautiful Pleasure"	0.0862041
"Silver Charm"	0.0833273
Budroyale	0.0784859
"Banshee Breeze"	0.0757364
"Awesome Again"	0.0756696
"A.P Indy"	0.073733
"Russ Ortiz"	0.0735124
"Skip Away"	0.0733642
"Real Quiet"	0.0731248
"Bjarne Riis"	0.0722922
gelding	0.0722125
"Miguel Indurain"	0.0709019
"Touch Gold"	0.0706914
Trippi	0.0700141
Chilukki	0.0699517
Surfside	0.069281
"Kevin Tapani"	0.0683256
Hentgen	0.0662144
"Woody Williams"	0.0653821
"Dave Burba"	0.0652341
Ferdinand	0.0650198
"Brian Moehler"	0.0649645
Tanui	0.0637338
"Koji Ito"	0.063331
"Marina Anissina"	0.0629625
"Winning Colors"	0.0622405
aptitude	0.0605008
"Pat Hentgen"	0.0601436
gentlemen	0.0600659
"Mark Gardner"	0.0592505
Arazi	0.0586389
Hawkeyes	0.0579093
Hal	0.0576782
"Jim Parque"	0.05731
"Hugh Hefner"	0.0562646
"Forest Camp"	0.0560747
"Scarlet Knights"	0.0555887
"Seattle Slew"	0.0554926
thoroughbred	0.0553274
"Shane Reynolds"	0.0552695
"Gil Heredia"	0.0545486
Hendrawan	0.0544663
Berasategui	0.0542663
"Kim Clijsters"	0.0540517
"BRIAN MEADOWS"	0.0539152
"Mike Sirotka"	0.0537306
Karlsson	0.0534067
grindstone	0.052968
"Jeff Weaver"	0.0529386
"Australian Mark Philippoussis"	0.0527717
"Richard Hatch"	0.0519644
Longo	0.0517166
trotter	0.0515979
Affirmed	0.0515763
"Regina Jacobs"	0.0515546
Harnisch	0.0514963
filly	0.0514005
"Tim Hudson"	0.0513491
"Gong Zhichao"	0.0513464
"John Halama"	0.0510658
"Scott Goodyear"	0.0506766
"Old Trieste"	0.0505092
Illini	0.0502556
"straight man"	0.050251
"Andy Benes"	0.0500971
"John Burkett"	0.050033
"Kirk Rueter"	0.0498948
"Wood Memorial"	0.0498833
"Earnhardt Jr."	0.0497748
"Ji Xinpeng"	0.0497649
"Kentucky Derby"	0.0496874
"Edie Falco"	0.0493938
"Eddie Cheever"	0.0492761
"Michael Andretti"	0.0491904
Franchitti	0.0490597
"Doak Walker"	0.048596
"STEVE WOODARD"	0.0483884
"Serena Williams"	0.0479847
"Van Roost"	0.0479049
"Chris Boardman"	0.0478137
Kafelnikov	0.0477665
"Tom Steels"	0.0477157
"Brett Tomko"	0.0475589
"Annika Sorenstam"	0.0474264
Venus	0.0474211
"Shawn Estes"	0.0473071
"Eric Milton"	0.0471757
Loroupe	0.047172
"Moses Tanui"	0.0471458
"Mike Hampton"	0.0471105
gamecock	0.0469824
"break of serve"	0.0469746
"Kent Bottenfield"	0.0469338
"Isolde Kostner"	0.0468813
"Arnaud Di Pasquale"	0.0468755
"Rick Helling"	0.0467765
Bruguera	0.0466118
Daal	0.046602
"Jon Lieber"	0.0464203
"Marco Pantani"	0.0460069
"James Baldwin"	0.0459138
"Rusty Wallace"	0.0458604
"Sean Bergman"	0.0456792
Cornhusker	0.0454655
"Bartolo Colon"	0.0454571
Eliza	0.0454475
Alydar	0.0454191
Majoli	0.0453015
Boilermakers	0.0451307
"Aaron Sele"	0.0451003
Saturn	0.0450966
Yagudin	0.0449627
Glavine	0.0449211
"Andrew Ilie"	0.0448425
"Audra McDonald"	0.0443669
Schnyder	0.0440229
"Chris Antley"	0.0440038
"Brian Rose"	0.043992
Testud	0.043895
"Jose Lima"	0.0438233
Serena	0.0437811
"Scott Elarton"	0.0437523
"Ron Dayne"	0.043696
"Rick Reed"	0.0436805
"Jamie Moyer"	0.0434331
"Paul Abbott"	0.0434156
Zabel	0.043227
Moya	0.0431925
"race horse"	0.0431772
"Rolando Arrojo"	0.042962
"quarter horse"	0.0429446
Corretja	0.0428592
"Ty Detmer"	0.042745
"Moshood Abiola"	0.0426398
"Kent Desormeaux"	0.0426291
"Fu Mingxia"	0.0426272
"Sergi Bruguera"	0.0425604
Rueter	0.042473
"Freddy Garcia"	0.0424119
"Kevin Millwood"	0.0423886
"Yang Yang"	0.042374
Hofstra	0.0423672
"Kenny Brack"	0.0422979
"D. Wayne Lukas"	0.0420948
Mercker	0.0420203
Butyrskaya	0.0419249
Buggy	0.0419155
"Ian Woosnam"	0.0419133
Razorback	0.0418488
"Tim Wakefield"	0.0418419
terrapin	0.0418048
"Pete Harnisch"	0.0417692
"Poul-Erik Hoyer-Larsen"	0.0417461
"Steve Parris"	0.0416586
"Andy Ashby"	0.0416581
Bottenfield	0.0416543
Steffi	0.041598
Goetschl	0.0415273
"two pitchers"	0.0415133
Sautin	0.041507
Radke	0.0414769
Henman	0.0414118
Millar	0.0413816
Neptune	0.0413806
"Pete Schourek"	0.0412738
"Zoran Primorac"	0.0411684
))
(adoptees (desc 2425.82) (sims
illegals	0.118949
mainlanders	0.0980299
hemophiliac	0.0899566
returnees	0.0883885
homebuyers	0.0881366
"North Africans"	0.0880056
Atlantans	0.0874811
Irishmen	0.0867258
"Sri Lankans"	0.0859403
householder	0.0845065
"home buyer"	0.0842014
enlistee	0.0841676
Ohioan	0.0828468
eighth-graders	0.0816886
Chinese-Indonesians	0.0813616
student-athletes	0.0812415
"mountain gorilla"	0.0802566
Ecuadoreans	0.0801418
"North Carolinian"	0.079227
"New Jerseyans"	0.0792035
centenarian	0.0777638
Arizonan	0.0777068
claimant	0.0776441
newborns	0.0775922
"British people"	0.0772413
enrollee	0.0765532
Muscovite	0.0764599
"foster child"	0.0759767
diabetic	0.0756084
"American Jews"	0.075241
Chinese-Americans	0.0748027
preschoolers	0.0747932
asylum-seekers	0.0743125
"music lover"	0.073762
"Albanian Kosovars"	0.0728209
holidaymaker	0.0726497
franchisees	0.0724474
businesspeople	0.071541
Quebecers	0.0706338
farmworkers	0.0704634
theatergoer	0.0703615
Hawaiians	0.0701594
"Iranian POWs"	0.0697401
orphan	0.0697337
servicemen	0.0697054
"college student"	0.069492
Georgian	0.068901
Californian	0.0680706
"health professional"	0.0676644
exerciser	0.0673454
registrant	0.0672002
airmen	0.0671131
angler	0.0668465
wellwisher	0.0665089
spammers	0.0660906
"au pair"	0.0657385
seamen	0.0657026
worshipper	0.0656978
Mozambican	0.0654492
"birth parent"	0.0653156
Harrell	0.0652474
deserter	0.0646938
"New Zealander"	0.0646861
emigrant	0.0646843
bikers	0.0646735
learner	0.0644283
OFWs	0.0642684
Beijingers	0.0641452
Iowan	0.0640903
seminarian	0.0639992
stowaway	0.0636679
Floridian	0.0633597
"gold miner"	0.063224
hypotheses	0.0630324
"church member"	0.0629987
Orangemen	0.0627465
Frenchmen	0.0626481
Paulina	0.0626356
herdsmen	0.0626298
grandkids	0.0621944
adolescent	0.0621835
Bostonians	0.0621133
backpackers	0.0618587
enactors	0.0616738
"blood donor"	0.0615789
homeowner	0.0614341
hostage-takers	0.0614302
dieters	0.0614292
trainee	0.0610727
Mexican-Americans	0.0609373
migrant	0.0607889
"faculty member"	0.0606213
Tibetans	0.0605936
sufferer	0.0604324
"South Koreans"	0.0603294
Taiwanese	0.0603176
"Pacific Lumber"	0.0602135
"Cuban Americans"	0.0599789
retiree	0.0599421
Davidians	0.0598669
Missourian	0.0597599
"Member States"	0.0596704
signees	0.059352
Angelenos	0.0592678
reservist	0.0589568
agronomist	0.0589273
Cuban-Americans	0.0588577
stargazer	0.0588262
Mississippian	0.0587662
urbanites	0.0587281
Bosnians	0.0584828
"Iraqi POWs"	0.0584233
"test-tube baby"	0.0583944
hominid	0.0578737
"Orthodox Jews"	0.0576856
leaver	0.0575371
Ershad	0.0574897
wage-earner	0.0574209
"university student"	0.0572742
Moslem	0.0570173
plaintiff	0.0569943
Pyle	0.0568916
"little leaguer"	0.0567904
"fire fighter"	0.0567893
partygoer	0.0566682
"carte blanche"	0.0566526
Navajos	0.0566409
"altar boy"	0.0564821
moviegoer	0.0564577
"union worker"	0.0564577
Kohn	0.0561424
renter	0.0561396
pensioner	0.0560825
Kris	0.0560762
Namibian	0.0560761
schoolchildren	0.0559635
Londoner	0.055857
Haitian	0.0557784
policyholder	0.0557087
Baumhammers	0.0556862
evacuee	0.0556521
"San Franciscans"	0.0554912
Ukrainians	0.05542
Gi	0.0553798
"farm worker"	0.0553777
"substance abuser"	0.055291
protestor	0.0551535
vacationer	0.0550199
"Dominique Moceanu"	0.0549599
congregants	0.0549213
"New Englander"	0.0546717
armymen	0.0546713
"East German"	0.054551
"married couple"	0.0545348
"union member"	0.0545346
RIAA	0.0544832
juvenile	0.0544584
MIAs	0.0544171
caregiver	0.0541548
plotter	0.0541215
parolee	0.0540898
Ugandan	0.0540452
Midwesterners	0.0540408
swindler	0.0540054
"steel company"	0.0539848
Liberian	0.0539713
"young girl"	0.0539587
vertebrate	0.0539203
Vermonter	0.0538529
shuttlers	0.0538425
concertgoers	0.0537957
Ghanaians	0.0537705
obstetrician	0.053575
Filipino	0.0535434
"young person"	0.0535312
freelancers	0.0535167
Afrikaner	0.0535036
"senior citizen"	0.053495
grandparent	0.053432
probationer	0.0533896
Copt	0.0533837
criminologists	0.0533521
Garzon	0.0533308
filers	0.0533088
Eritrean	0.0532849
Faulder	0.0531238
"beer drinker"	0.0530007
"garment worker"	0.0529688
worshiper	0.0528772
lawbreaker	0.052868
"wage earner"	0.0528342
surfer	0.0527757
Chicagoans	0.0527209
student-athlete	0.0526822
petitioner	0.0526592
Pape	0.0526564
vaulter	0.0526264
hobbyist	0.0525964
neo-Nazis	0.0525687
Cambodian	0.0525049
))
(adopters (desc 1110.97) (sims
bird-watchers	0.0973224
baby-boomers	0.0821772
joiner	0.0761166
selloffs	0.0737839
"feminist movement"	0.0724939
mainlanders	0.0683157
pervasiveness	0.0670035
overachiever	0.0667721
highflier	0.0667016
"risk taker"	0.0656287
bloomer	0.0649373
"free people"	0.0643313
popularization	0.063839
"two pitchers"	0.063599
"Baby Bells"	0.0633467
"paying attention"	0.0633132
"jumping up and down"	0.0617911
ninety	0.0611559
innovator	0.0604411
"application program"	0.0600504
hyper	0.059463
sixty	0.0586797
"crown jewels"	0.0574265
evaluator	0.057363
progenitor	0.0568928
"break of serve"	0.0568571
newest	0.0566619
"Reagan Democrats"	0.0566264
learner	0.0566162
"Young Turk"	0.0564601
eighty	0.0550367
busiest	0.0547081
"Special Economic Zones"	0.0545655
"Jehovah's Witnesses"	0.0544261
talkie	0.0542526
"Red Violin"	0.0540886
"computer language"	0.0538231
"three pitchers"	0.0533067
puritan	0.0533
rediscovery	0.0532679
Zionist	0.0532102
"Orthodox Jews"	0.0528964
zag	0.0523563
vote-getters	0.0520217
evidences	0.0518902
safest	0.0511289
"service break"	0.0510876
"foot soldier"	0.0509536
underachiever	0.050713
"bird watcher"	0.0506081
triathletes	0.0505866
swashbuckler	0.0503321
standouts	0.0502877
"ball club"	0.0502733
complicit	0.050167
"margin call"	0.0497749
brightest	0.0497731
colorblind	0.049761
snob	0.0494959
tabulation	0.049481
hominid	0.0492456
diffusion	0.0491851
"core group"	0.0488781
experimenter	0.0488741
importing	0.0488164
SMIs	0.0487617
cog	0.0485372
"treading water"	0.0484981
"adventure story"	0.0484057
chronicler	0.0481132
"warning signal"	0.0480922
Tintin	0.0480366
"world traveler"	0.047953
survivalist	0.0477312
"No. @s"	0.0476856
fast-track	0.0474635
looker	0.0474505
Guterres	0.0474112
realignments	0.0473633
"Homo erectus"	0.0473344
upsets	0.0473237
barbarian	0.0471511
going	0.0471497
"Millennium Bug"	0.0471008
horsemen	0.0469094
"turning away"	0.0468819
"mountain gorilla"	0.0467781
outta	0.0465932
AHP	0.0462488
oligarch	0.046236
uptake	0.0461596
"Russian Jews"	0.0461585
GEF	0.0461522
"first language"	0.0460757
privatizations	0.0460104
"wise man"	0.0459957
Englishmen	0.0459779
"talking point"	0.0459064
gamers	0.0458639
seer	0.0458614
"founding father"	0.0457977
closers	0.0457908
"Field Poll"	0.0457399
racketeer	0.045706
gatherer	0.0456309
"flowering plant"	0.04552
bloomers	0.0455061
Slav	0.045329
seventy	0.0453235
"Western Han Dynasty"	0.04526
"competitive advantage"	0.0452566
"dramatic event"	0.0452527
"Love Bug"	0.04522
Rambo	0.0451122
"more than three-fourths"	0.0449935
stargazer	0.0449789
Diagnoses	0.0448625
plankton	0.0448203
billionaires	0.0447955
whiner	0.0447072
Berliner	0.0446098
adenovirus	0.0445762
"Sunni Muslims"	0.0444011
"knockout punch"	0.0443513
"gold standard"	0.0443511
Gustafsson	0.044325
"big leaguer"	0.0442954
"two units"	0.0442502
nomad	0.0442417
playmakers	0.0441074
ruffian	0.0441018
Spring/Summer	0.0440716
whistle-blowers	0.0440712
loony	0.0440075
singer-songwriters	0.0437162
co-leaders	0.0437086
riser	0.043618
complainant	0.0435808
mega-mergers	0.0434802
"cash cow"	0.0433602
businesswomen	0.0433014
"Islamic Welfare Party"	0.043255
eater	0.0432161
esthetics	0.0430631
discouragement	0.0429372
"gold miner"	0.0429044
hippy	0.0428316
AEC	0.0426266
subspecies	0.0425259
"Bafana Bafana"	0.0424729
Lipponen	0.0424092
Ikeda	0.0423486
Litigator	0.0421877
"Agenda @@@@"	0.0421421
Braswell	0.0420958
Klansmen	0.0420279
psychedelia	0.0420018
"three schools"	0.0419849
beamer	0.0418774
nudist	0.0418677
transnationals	0.0418591
minibuses	0.0417221
"Dream Team"	0.0416796
spacewalkers	0.0416776
sportsmen	0.0416548
lifer	0.0416462
SIESTA	0.0415962
inductees	0.041551
kiddy	0.0414509
Fifty	0.0414136
"China Youth Development Foundation"	0.0414022
initiator	0.0413944
Kashmiris	0.041333
torchbearer	0.0412669
turncoat	0.0412045
"water buffalo"	0.0410984
hypermarket	0.0410869
pallbearer	0.0410701
"six tons"	0.0410565
duffer	0.0410347
profiteer	0.0410047
"throwing away"	0.0409886
brawler	0.0409616
"King Abdullah II"	0.0408976
quarterfinalists	0.0407562
bloodiest	0.0407372
pooling	0.0406598
surrealist	0.0406542
feint	0.0405844
richer	0.0405297
pragmatist	0.0404713
gatekeeper	0.0403386
harvesting	0.0402352
petitioner	0.0402006
Bech	0.0400367
))
(adoption (desc 51450.3) (sims
Implementation	0.153666
ratification	0.144692
introduction	0.122436
approval	0.118559
drafting	0.116593
acceptance	0.113472
enactment	0.109689
enforcement	0.107993
participation	0.106199
development	0.105871
reform	0.104776
revision	0.104557
Privatization	0.104081
deployment	0.103468
formulation	0.102483
rejection	0.101823
promulgation	0.101798
expansion	0.101651
Liberalization	0.100505
transfer	0.0990379
establishment	0.0987419
resumption	0.0985364
removal	0.0983713
signing	0.0978557
creation	0.0973942
integration	0.096913
issuance	0.0950065
passage	0.0945888
application	0.0943273
imposition	0.0943246
repeal	0.0941418
immigration	0.0917263
lifting	0.0910879
abolition	0.0904271
finalization	0.0903361
abortion	0.08867
Promotion	0.0878584
deregulation	0.0874701
normalization	0.0863603
strengthening	0.0862312
resolution	0.0858698
withdrawal	0.0858448
distribution	0.085791
divorce	0.0856612
action	0.0851063
restructuring	0.0849221
overhaul	0.0847893
consolidation	0.0846406
consideration	0.0842151
renewal	0.0841396
intervention	0.0840887
elimination	0.0833399
restoration	0.0828319
reduction	0.0827638
Execution	0.0824759
repatriation	0.0824335
reunification	0.0818402
employment	0.0812558
registration	0.0810904
marriage	0.0810293
provision	0.0808152
amendment	0.0807008
accession	0.0798467
unification	0.0797375
continuation	0.0797204
testing	0.0795247
birth	0.0794765
formation	0.0793076
improvement	0.0787803
abandonment	0.0783348
emergence	0.0777675
relocation	0.0775051
entry	0.0773528
discussion	0.0773383
launching	0.0768676
legislation	0.0766754
policy	0.0763977
harmonization	0.0763549
scrapping	0.0762815
education	0.0762338
decision	0.0761738
initiative	0.0754297
review	0.0752716
modernization	0.0750862
"family planning"	0.0749349
initiation	0.0748534
purchase	0.074789
settlement	0.0747542
cooperation	0.0747258
endorsement	0.0746952
globalization	0.0744281
availability	0.0742713
cancellation	0.0742013
investment	0.0741857
procedure	0.0740048
merger	0.0739342
inclusion	0.073839
deliberation	0.0738274
funding	0.0738231
termination	0.0735614
completion	0.0733155
agreement	0.0732805
protection	0.0732745
involvement	0.073204
election	0.07314
advancement	0.0729794
appointment	0.0724848
Proliferation	0.0724287
recovery	0.0722448
dissemination	0.072161
hiring	0.0720276
financing	0.0720031
disclosure	0.0719732
progress	0.0719406
takeover	0.071609
Declaration	0.0710967
handover	0.0710394
acquisition	0.0710217
enlargement	0.0709614
easing	0.070922
conversion	0.0708369
Dismissal	0.0707943
ownership	0.0707744
separation	0.0707199
recruitment	0.0706507
activity	0.0705919
membership	0.0705526
rehabilitation	0.0705494
violation	0.0704776
measure	0.070454
reorganization	0.0703348
construction	0.0703169
realization	0.0701854
censure	0.0700968
dissolution	0.0699947
"decision making"	0.0699574
"gun control"	0.0698758
preservation	0.069855
growth	0.0698223
examination	0.0694756
spending	0.0693976
placement	0.069397
extradition	0.0693946
modification	0.0689986
evolution	0.0689506
delivery	0.0688965
disarmament	0.0688912
treatment	0.0686892
proposal	0.0686745
transaction	0.0685604
standardization	0.0684962
"health care"	0.0683513
program	0.0680112
voting	0.0679634
wording	0.0677626
research	0.0677266
deportation	0.0677229
vote	0.0675975
process	0.0673776
Constitutionality	0.0673775
"free trade"	0.0673693
draft	0.0673008
failure	0.0670195
sale	0.0669775
utilization	0.0669469
access	0.0669314
exploitation	0.066851
preparation	0.0667812
compliance	0.0667636
reconsideration	0.0667537
innovation	0.0667177
governance	0.0667107
eradication	0.0666232
transplant	0.0665155
suicide	0.0664357
immunization	0.0664104
evaluation	0.0663683
industrialization	0.0662868
effort	0.066282
referendum	0.0662697
dollarization	0.0662094
gambling	0.0660629
procurement	0.0658042
incorporation	0.0657419
handling	0.065741
breakup	0.0657173
stabilization	0.0656205
maintenance	0.0656078
expulsion	0.0656076
care	0.0655203
disbursement	0.0655158
reconstruction	0.0654037
closure	0.0653064
adjustment	0.0650142
inspection	0.0649356
democratization	0.0648894
recognition	0.0648188
readjustment	0.0646884
extension	0.064596
regulation	0.0644927
))
(adoration (desc 6648.87) (sims
adulation	0.138678
affection	0.0990201
admiration	0.0884833
accolade	0.0685822
enthusiasm	0.066455
scorn	0.0659877
envy	0.0646352
pity	0.0605395
sympathy	0.0602467
devotion	0.0598324
fascination	0.0594224
jeer	0.0592837
ire	0.0587734
grief	0.0587297
reverence	0.0581206
disdain	0.0574708
derision	0.0568875
excitement	0.0561599
Wrath	0.0553929
notoriety	0.0540118
apathy	0.0520171
disaffection	0.0519184
revulsion	0.0518259
amazement	0.0518218
loyalty	0.0512973
awe	0.0500417
hatred	0.0498252
applause	0.0498168
esteem	0.0491498
veneration	0.0483059
yearning	0.0480845
warmth	0.0471311
contempt	0.0470915
contentment	0.0466352
sorrow	0.0466111
sadness	0.0465892
longing	0.0463102
curiosity	0.0462411
bonhomie	0.0456779
alienation	0.0455981
contemplation	0.045068
patriotism	0.0449557
Ostracism	0.0445709
plaudit	0.0445316
chagrin	0.0443158
fervor	0.0442419
lust	0.0438414
obeisance	0.0436434
courting	0.0432923
generosity	0.042969
skepticism	0.0429417
desperation	0.042616
compassion	0.0425874
nostalgia	0.042476
"sense of duty"	0.0424018
dread	0.042268
wonderment	0.0422482
trepidation	0.0420631
solitude	0.0419326
bemusement	0.0414921
loneliness	0.0405085
bereavement	0.0404915
opprobrium	0.0402613
))
(adornment (desc 2452.24) (sims
waistcoat	0.0648179
ornament	0.0636919
disfigurement	0.0602318
knitwear	0.0586015
PIERCINGS	0.0551028
wig	0.0539352
"household product"	0.0533753
hairdo	0.052785
hairstyle	0.0525025
"evening gown"	0.0518309
sportswear	0.051539
"credit system"	0.0499743
embellishment	0.0475479
barrette	0.0471356
accoutrement	0.0469282
lipstick	0.0469154
"piggy bank"	0.046442
"household appliance"	0.0463655
"bed sheet"	0.0455972
handicraft	0.0454187
earring	0.0453214
tic	0.0449136
Flattery	0.0441972
duplication	0.0437486
utensil	0.0435447
"feather boa"	0.0433827
memento	0.0431924
knickknack	0.0430647
"fur coat"	0.042948
shindig	0.0417645
ornamentation	0.0415785
grooming	0.0414625
"mosquito net"	0.041246
sandal	0.0410356
bauble	0.0409731
craziness	0.0408522
necktie	0.0406262
))
(ADP (desc 1271.01) (sims
ODA	0.131072
"capital expenditure"	0.126081
"defense budget"	0.119088
"operating budget"	0.102624
"R&AMP;D"	0.0955709
"pork barrel"	0.0854982
"trade policy"	0.0785568
outlay	0.0744391
"Bank of Scotland"	0.0741169
Demutualization	0.0730603
"organic law"	0.0728218
pimpernel	0.0727133
A@XX	0.0725254
"master plan"	0.0714083
"bond offering"	0.0700128
A-list	0.0678656
"silver dollar"	0.0678059
Bristol-Myers	0.0663978
"Criminal Procedure Law"	0.0662542
"investment portfolio"	0.0654008
"domed stadium"	0.0653114
"compromise plan"	0.0650779
"viewing audience"	0.0649575
"penal code"	0.0648973
"Lome Convention"	0.0645356
"Royal Bank"	0.0642284
Japan-U.S.	0.0636602
"price list"	0.0634565
"Marshall Plan"	0.0622704
"Maastricht Treaty"	0.061357
"electoral system"	0.0605432
livery	0.0604401
"point system"	0.0599666
syllabus	0.0598933
GEF	0.0587648
avionics	0.0585481
"finding of fact"	0.0585142
Isthmus	0.0584019
"office staff"	0.0581918
"Boston Scientific"	0.0579879
"name change"	0.0569384
SBA	0.0569189
"Stability Pact"	0.0568841
"National Grid"	0.0568562
Ulema	0.0561817
"Mac OS"	0.0561103
"ping-pong ball"	0.0551989
Garuda	0.0550818
"compensation package"	0.0548546
"merger agreement"	0.0547508
NiSource	0.0547182
"rate of exchange"	0.0543386
catechism	0.0541454
"Defense Agency"	0.0539371
"reorganization plan"	0.0539138
"phone book"	0.0538079
crore	0.0537489
MiniMed	0.0536824
"Volkswagen Beetle"	0.0536272
Whitbread	0.0528615
"bond issue"	0.0527466
caseload	0.0524152
"pilot program"	0.0523965
MOU	0.0523471
"short selling"	0.0521851
"bankruptcy law"	0.0520635
videophone	0.0520088
"elephant population"	0.051964
"United Technologies"	0.0519362
"Action Plan"	0.0515776
"public works"	0.0515557
"ad blitz"	0.0513394
goalpost	0.051272
"Multimedia Super Corridor"	0.0506527
"academic year"	0.0502949
MACROMEDIA	0.0502594
"Corcoran Gallery"	0.0502405
"political platform"	0.0501209
"American Dream"	0.0500719
"Penn Station"	0.0500045
"criminal law"	0.0498336
"voting system"	0.0497543
rulebook	0.0497399
"seating capacity"	0.049637
Scania	0.0495919
"capital investments"	0.0495705
stayaway	0.0495469
Standards	0.0493874
"Canadian Alliance"	0.0493207
"Societe Generale"	0.0492739
"Beijing Declaration"	0.0491588
"American Century"	0.049157
Honeywell	0.0490487
XFL	0.0490115
"Learning Co."	0.0488785
"Hongkong Telecom"	0.0488461
"labor contract"	0.0488108
Genentech	0.0487821
thumbnail	0.0486219
"freshman class"	0.0485018
recapitalization	0.0484914
registrant	0.0484515
"Free Trade Agreement"	0.0483471
CPI	0.0482439
"compact car"	0.0481649
Ida	0.0480388
"legal age"	0.048022
sub-projects	0.0479318
"national income"	0.0479244
CITES	0.0478207
"P&AMP;G"	0.0477844
Omnicom	0.0477498
"United Nations Convention"	0.0476675
PlayStation	0.0476087
bodysuits	0.0474451
"National Missile Defense"	0.0474405
Walkman	0.0472387
"endowment fund"	0.0470747
"African Union"	0.0470086
write-off	0.0468047
Interpublic	0.0466899
"Red Hat"	0.0464061
"weapon system"	0.0462419
"tax reduction"	0.0460952
"telephone booth"	0.0460528
"football stadium"	0.0460332
"Plan Colombia"	0.0458329
UNRWA	0.0457561
zodiac	0.0455652
"Industrial Bank of Japan"	0.0455525
"arms deal"	0.0454822
"Super League"	0.0454626
reinvestment	0.0453621
earthwork	0.045326
Braille	0.0451987
"American plan"	0.0451302
Projects	0.0450971
"purchase price"	0.045053
"Toys R Us"	0.0449829
interdiction	0.0448503
"Framework Agreement"	0.0448491
"Ford Motor Company"	0.0447253
"Department of Public Health"	0.0445751
Petrofina	0.0445217
"tax change"	0.0444779
Paribas	0.0443885
non-Social	0.0443834
"Ninth Five-Year Plan"	0.0441122
"True North"	0.0440889
"election district"	0.0440753
"target area"	0.0438362
"land reform"	0.0437341
diagnostics	0.0436999
VFA	0.0436903
megamerger	0.0435709
"Windows CE"	0.0435456
Janus	0.0433779
"reserve fund"	0.0433723
GNP	0.0433623
Westinghouse	0.0433592
"Council of Ministers"	0.0432666
"export credit"	0.0431712
quorum	0.0431533
"master bedroom"	0.0430377
"value added tax"	0.0430027
allotment	0.0428718
"coal gas"	0.0428161
multibillion	0.0427488
"commercial law"	0.042666
commissioning	0.0426535
"rate of growth"	0.0426459
"Niagara Mohawk"	0.0426054
"tender offer"	0.0426051
Priceline.com	0.0425434
"sewer line"	0.0424911
shoestring	0.0424007
offing	0.0423093
"tax hike"	0.0422684
decoding	0.0422637
buyback	0.0422566
"Asian Development Bank"	0.0422373
linkup	0.0422319
"Free Trade Area"	0.0421829
ICBC	0.0421806
backdoor	0.042168
"Zhejiang University"	0.04207
Stratus	0.0420367
bylaw	0.0420038
zoning	0.0419965
"Chemical Weapons Convention"	0.0419848
"U.N. Convention"	0.0418719
KEDO	0.04179
NPLs	0.041717
Agilent	0.0417012
"Pepsi Center"	0.0416904
"Mobil Corp."	0.0416854
BOC	0.0416681
"Fourth Session"	0.0416639
"international criminal court"	0.0415928
AMR	0.0415678
))
(adrenalin (desc 1427.5) (sims
adrenaline	0.326841
cortisone	0.190616
testosterone	0.106343
pre-Christmas	0.104557
Botox	0.099822
"electric current"	0.0970659
insulin	0.0933935
Geoffrey	0.0867016
"well water"	0.0796146
potassium	0.0751235
"ground water"	0.0748568
"red blood cell"	0.0731563
leptin	0.0722752
"skid row"	0.0692458
groundwater	0.0681636
"blood sugar"	0.0666491
Seawater	0.0647621
"foot traffic"	0.0645051
"natural ability"	0.0642255
gravitas	0.0641609
"blood cell"	0.0640323
caffeine	0.0636907
monies	0.0628064
Avonex	0.0608555
floodwater	0.0605852
penicillin	0.0603256
"mind's eye"	0.0598997
PCB	0.0595147
glucose	0.0589348
"T cell"	0.0587206
coolant	0.05807
clicker	0.0580539
"about @@@ tons"	0.0580454
folate	0.0579356
backside	0.0569186
homocysteine	0.0568388
"waiting game"	0.0565098
toxin	0.0561069
"relay stations"	0.0551549
HDL	0.0549901
"growth hormone"	0.0531492
"nitrous oxide"	0.0527589
"guardian angel"	0.0522177
radioactivity	0.051996
sorority	0.0517054
Mekong	0.0516593
subconscious	0.0515414
hemoglobin	0.051445
taskbar	0.0513949
PSA	0.0512907
ass	0.0507837
sanity	0.0504788
willpower	0.050376
"hot air"	0.0503174
LDL	0.0502655
"clenched fist"	0.0501929
interferon	0.0499265
booze	0.0498949
salinity	0.0498198
bourbon	0.0497001
"data file"	0.0494305
"vitamin D"	0.0492785
"human growth hormone"	0.0492142
silt	0.0488282
Radon	0.0487857
"mechanical device"	0.0485854
fizz	0.0481644
CO@	0.0477786
"background noise"	0.0477727
"deja vu"	0.0477533
"Bank of Uganda"	0.0476852
wastewater	0.0475465
Momma	0.0473301
"nearly $@"	0.0469461
grandkids	0.046838
"more than @@@ yards"	0.0467675
"foreign direct investment"	0.0464638
"detective work"	0.0460733
ballgames	0.0460652
bile	0.0460291
"water table"	0.0459478
ribbing	0.0457397
plunger	0.0456424
cyanide	0.0454316
Rusch	0.0454305
Pompeii	0.0452969
"heart muscle"	0.045233
"Adam Vinatieri"	0.0451262
"septic tank"	0.0449471
"raw talent"	0.0448681
"leisure time"	0.044808
selenium	0.0448066
FDI	0.0442318
anti-inflammatory	0.0441637
self-worth	0.0439361
"Danube River"	0.0438074
"hanky panky"	0.0437548
guesswork	0.0437212
Cowens	0.043434
molar	0.0434336
serotonin	0.04306
chloride	0.0430485
"Jason Elam"	0.0430458
"Division I-AA"	0.0429854
flack	0.0429644
"nine yards"	0.0428807
gasses	0.0427907
blackness	0.0427882
pre-@@@@	0.042774
proficiency	0.0426267
hackle	0.0425512
up-and-down	0.0425173
"inferiority complex"	0.0424241
"golf game"	0.0423465
"U.N. Interim Force in Lebanon"	0.0423041
Walkman	0.042285
dopamine	0.0422748
"more than @,@@@ yards"	0.0421292
morphine	0.0420427
"circuit breaker"	0.0419399
"ransom money"	0.0418343
"muscle cell"	0.0418338
compost	0.0417926
goosebumps	0.0417912
intuition	0.0416335
lemming	0.0416316
"money supply"	0.0415521
soot	0.0415507
"tape measure"	0.0415046
"carbon dioxide"	0.0414453
Sheedy	0.0414055
"line of work"	0.0412456
collagen	0.0412242
hardcore	0.0412042
"breathing room"	0.0411227
p@@	0.0411138
Thirty-one	0.0410178
Jedi	0.0408914
"heart rate"	0.0407258
"first four"	0.0406887
"positive feedback"	0.0406535
melatonin	0.0405189
Ganges	0.0404749
"Passion play"	0.0404697
"water vapor"	0.0402517
"frame of reference"	0.0401145
repartee	0.0400353
"mental ability"	0.0400302
))
(adrenaline (desc 7952.81) (sims
adrenalin	0.326841
testosterone	0.121992
cortisone	0.108372
insulin	0.0965753
caffeine	0.0938633
melatonin	0.0838739
emotion	0.0815601
excitement	0.0779823
energy	0.0772884
oomph	0.0760366
leptin	0.0753057
estrogen	0.0716262
"hot air"	0.0708409
potassium	0.0694525
moisture	0.0673069
willpower	0.0672891
serotonin	0.0667774
liquidity	0.0667252
quickness	0.0650822
oxygen	0.06498
giddiness	0.0646067
chutzpah	0.0643837
enthusiasm	0.0639454
heartache	0.0638933
exhilaration	0.0636399
pizazz	0.0628325
"natural ability"	0.0624927
hormone	0.0624315
venom	0.0621778
"raw talent"	0.0619227
momentum	0.0606994
intensity	0.0601376
stamina	0.0600665
intuition	0.0599465
"foot traffic"	0.0595823
juice	0.059173
euphoria	0.0591015
lava	0.0590216
Luck	0.0588269
horsepower	0.0586793
curiosity	0.058113
Sewage	0.0579351
radioactivity	0.057775
anxiety	0.057186
"free time"	0.0569658
groundwater	0.0567528
humility	0.056649
steroid	0.0565724
"vitamin C"	0.0565237
suspense	0.0563708
vitriol	0.0558028
floodwater	0.0557
"electric current"	0.055501
karma	0.0551185
fluid	0.0550188
self-esteem	0.0549703
instinct	0.054723
gut	0.0543778
desperation	0.0541836
hype	0.0539776
ego	0.0538367
nutrient	0.0537864
crap	0.0535113
nitrogen	0.0532761
happiness	0.0529257
charisma	0.0526985
sweat	0.0526334
"leisure time"	0.052547
nicotine	0.0524696
paranoia	0.0520015
alcohol	0.0517986
"wear and tear"	0.0513452
"ill will"	0.0511098
sadness	0.0511076
baloney	0.0508627
anesthetic	0.0501317
"red blood cell"	0.0501296
humor	0.0500672
bile	0.0499174
togetherness	0.0497216
"wishful thinking"	0.0496241
dopamine	0.0495668
intangible	0.0495464
"breathing room"	0.0494441
"good will"	0.0493027
sass	0.0492298
angst	0.0489268
"goose bumps"	0.0488861
morphine	0.0486114
"sex hormone"	0.0485686
nostalgia	0.0483905
coolant	0.048301
FDI	0.0482754
aggressiveness	0.0481597
spontaneity	0.0481097
penicillin	0.0480835
toxin	0.0480228
gravitas	0.0478239
publicity	0.0477329
grief	0.0477195
nervousness	0.0475706
painkiller	0.0475297
interferon	0.0475177
Botox	0.0474502
junk	0.0473475
radiation	0.0473147
motivation	0.0472627
brawn	0.0471184
pep	0.0470601
imagination	0.0469692
exertion	0.0468873
pity	0.0466163
Creativity	0.0465928
CO@	0.0465378
exuberance	0.0464843
"common sense"	0.0464123
reflex	0.0456978
sinker	0.045667
gamesmanship	0.0456519
sanity	0.0456067
composure	0.045583
"peace of mind"	0.0455759
vitamin	0.0454852
EPO	0.045482
inspiration	0.0453997
bandwidth	0.0453315
"hard work"	0.0452317
teamwork	0.0450974
"blood sugar"	0.0448783
self-confidence	0.0448692
fury	0.044758
jealousy	0.0447306
antibiotic	0.044617
"carbon dioxide"	0.0444733
firepower	0.0444451
enjoyment	0.0443908
ambition	0.0443463
phosphorus	0.0442921
electron	0.0442814
"sense of purpose"	0.0442604
Calcium	0.0442223
cynicism	0.0442048
levity	0.0441582
sympathy	0.0440984
grit	0.0440346
flowing	0.04389
hunch	0.0438365
homework	0.0437534
heft	0.0436343
insight	0.0435462
anticipation	0.043503
"breaking ball"	0.043503
"ground water"	0.0431257
"high water"	0.0430324
Seawater	0.0430128
blather	0.042931
urgency	0.0429294
hand-holding	0.0429168
anguish	0.0429087
"deja vu"	0.0428782
nerve	0.0427889
weariness	0.042774
"sex appeal"	0.0427271
patience	0.0426513
commotion	0.0426047
greed	0.0425984
toughness	0.0425401
finger-pointing	0.0424138
tequila	0.0423108
tenacity	0.0422391
"water vapor"	0.0422149
whiskey	0.0421563
velocity	0.0421343
collagen	0.0421125
defensiveness	0.0420912
"well water"	0.0419404
feedback	0.0418796
magma	0.0417745
silt	0.0417055
finesse	0.0416532
craziness	0.0415903
Exhaustion	0.0415786
glucose	0.041572
monies	0.0415146
guesswork	0.0414778
"time off"	0.0413938
conditioning	0.0413572
PSA	0.0413287
spunk	0.0412848
cocaine	0.0410751
athleticism	0.0410638
ferocity	0.0410501
clothes	0.0408943
hokum	0.0408212
baggage	0.040781
chlorine	0.0407054
misinformation	0.0406693
animosity	0.0406575
discomfort	0.0406311
pandemonium	0.0406207
))
(Adrian (desc 3600.24) (sims
"Earl Spencer"	0.132671
Jeb	0.114455
Eduardo	0.107105
Brian	0.106252
Jonathan	0.100838
Nicolas	0.0994477
Eric	0.0978684
Ramon	0.0956492
Theo	0.0929872
Dodi	0.0927314
Gerald	0.0923704
Chris	0.0920313
Tim	0.0916701
Jeff	0.0906909
Randy	0.0879312
Carl	0.0872704
Marvin	0.0863724
Carlos	0.0847447
Danny	0.0844709
Harold	0.0844296
Ronald	0.0836065
Kevin	0.0835343
Louis	0.0832723
Raul	0.0826042
Dom	0.082213
Hans	0.0819208
LeRoy	0.0807956
Josh	0.0807953
Jeremy	0.0805783
Vladimir	0.0802715
Roger	0.0796866
Jason	0.0789275
Steven	0.0781625
"John Jr."	0.0775592
Mario	0.0774375
Jim	0.0771602
Larry	0.0768576
Manuel	0.0768491
Daniel	0.0762198
Alan	0.0760644
Fernando	0.075991
Roberto	0.0754173
Steve	0.0751689
Rifaat	0.0748803
Dominic	0.0748002
Brad	0.0743947
Sean	0.0741202
Eddie	0.073994
Rene	0.0739371
Luis	0.0733166
Felix	0.0731374
Ted	0.0724726
Michael	0.0724469
Edward	0.0721302
Gerard	0.0714485
Evan	0.0713134
"George W."	0.0711974
Kyle	0.0711439
Neil	0.0710936
matt	0.0706874
"Dale Jr."	0.0706834
Jimmy	0.0703145
Greg	0.0701996
Pavel	0.0701568
Keith	0.0700992
Joshua	0.070001
Richard	0.0699896
Albert	0.0690854
Reggie	0.0689148
Robert	0.0686138
Juan	0.0684116
Terry	0.0683592
Alex	0.0675795
Marc	0.0673947
Hugh	0.067189
Stephen	0.0662085
Walter	0.0661826
Philip	0.0660601
Justin	0.0658783
Joey	0.0654782
Jake	0.0648796
Brett	0.0648384
Jamie	0.0646854
Peter	0.0641122
jay	0.063946
Francisco	0.0637479
Kenny	0.0635389
Paul	0.0632984
Noel	0.0632542
Robbie	0.063034
Donald	0.0630314
Harry	0.0630151
Ben	0.0627307
Tommy	0.0626476
Charles	0.0624491
Matthew	0.0624394
Marty	0.0623226
Billy	0.0622982
Jose	0.0619419
Anthony	0.0618845
Miguel	0.0618423
Liam	0.06175
"Dodi Fayed"	0.061736
William	0.0616455
Cory	0.0613125
Gilberto	0.0612947
Craig	0.0610639
Kip	0.0604759
Maurice	0.0602447
Amir	0.0601661
Lorenzo	0.060122
Wayne	0.060039
Byron	0.0598189
Eli	0.0598057
Ralph	0.0596722
mike	0.0595317
Raymond	0.0594963
Trevor	0.0593847
Hassan	0.0593409
Ken	0.0590383
Charlie	0.0587495
Gary	0.0586234
Andrew	0.0584756
Jeffrey	0.0584183
Todd	0.0581656
Phillip	0.0579512
Ivan	0.0578711
Brent	0.0578473
Julian	0.0576335
Ron	0.0575179
Bobby	0.0574432
Aurelio	0.0571952
tom	0.0571709
Antonio	0.0571456
Pedro	0.0570934
Marcus	0.0570228
Stan	0.0569016
Geoffrey	0.0568938
Kenneth	0.0568653
Bjorn	0.0566628
STACEY	0.0562682
Patrick	0.0562265
Joel	0.0561807
Burke	0.0561102
Vince	0.0559975
Bruce	0.0557791
Andrei	0.0555772
"Al Joyner"	0.0555609
Jerry	0.0555134
Ian	0.0555056
Barbara	0.0553281
"Jeb Bush"	0.0544201
Gabriel	0.0543102
Joseph	0.0543067
sandy	0.0540342
Olivier	0.0536924
Leo	0.0536691
Dennis	0.0535507
Raoux	0.0532482
Jakob	0.0531736
Sam	0.0528828
Andre	0.0528733
Luke	0.0527934
Gus	0.0526943
Fred	0.0525412
Adam	0.0522258
Milo	0.0521778
Erin	0.0519768
Farah	0.051915
Roy	0.0518027
Ahmed	0.0517638
Dan	0.051735
Brandi	0.0517346
J.J	0.0516728
"Stan Collymore"	0.0513844
Isaiah	0.0513674
Christopher	0.0512739
Isaac	0.0509214
Theodore	0.0508791
Shawn	0.0508098
Ed	0.0508061
Colburn	0.0506068
Archie	0.0505992
Vincent	0.050597
Jacob	0.0505649
"Michael Laudrup"	0.0501949
Darryl	0.050185
Arthur	0.0501435
Leon	0.0501134
Jon	0.0501035
Cassandra	0.0501024
Ryan	0.0499977
Clyde	0.0498505
Karl	0.0497585
Gilbert	0.0496266
Wanda	0.0495096
Murrell	0.0492804
Rick	0.0491782
Ernest	0.0486626
Aaron	0.0486237
))
("Adrian Beltre" (desc 7604.13) (sims
"Eric Karros"	0.327983
"Devon White"	0.317138
"Todd Hollandsworth"	0.310799
"Gary Sheffield"	0.295393
"Eric Young"	0.279945
"Mark Grudzielanek"	0.265521
"Dave Hansen"	0.265442
"Todd Hundley"	0.257761
"Raul Mondesi"	0.256533
"Jose Vizcaino"	0.254453
Karros	0.253077
"Kevin Elster"	0.247738
Beltre	0.240005
"Shawn Green"	0.23696
"Alex Cora"	0.230448
"Ken Caminiti"	0.226964
"Scott Brosius"	0.221198
"Troy Glaus"	0.216899
"Scott Rolen"	0.209167
"Mike Lamb"	0.206187
"F.P Santangelo"	0.205919
"Bobby Bonilla"	0.202296
Grudzielanek	0.197946
"Juan Castro"	0.197368
"Eric Chavez"	0.196659
"John Valentin"	0.19038
Rolen	0.190061
"Edgardo Alfonzo"	0.188479
"Russ Davis"	0.188119
"Tony Batista"	0.18639
"Bill Mueller"	0.185894
"Paul Konerko"	0.185511
"Carlos Delgado"	0.184669
"Warren Morris"	0.184091
"Angel Pena"	0.183325
"Randy Velarde"	0.18055
"Dean Palmer"	0.180129
"Paul LoDuca"	0.179547
"Bruce Aven"	0.17789
"Eric Owens"	0.177624
"Jose Hernandez"	0.177042
"Rickey Henderson"	0.176681
"Todd Zeile"	0.17563
"Phil Nevin"	0.175082
"Ron Coomer"	0.173639
"Jose Offerman"	0.173592
"Jeff Kent"	0.172412
"Damian Miller"	0.172157
"Bill Spiers"	0.170934
"Adam Kennedy"	0.17092
"John Olerud"	0.170683
"Joe Randa"	0.169967
"Scott Spiezio"	0.169702
"Matt Williams"	0.16829
"Herbert Perry"	0.166364
Mondesi	0.166203
"Vinny Castilla"	0.16594
Valentin	0.165931
"Derrek Lee"	0.165649
"Mark Loretta"	0.16539
"Chipper Jones"	0.165388
"Matt Franco"	0.162848
Alfonzo	0.162241
"Ray Durham"	0.162043
"Mike Lowell"	0.161546
Vidro	0.161268
"Robin Ventura"	0.160702
Glaus	0.160236
"Jay Bell"	0.160153
"David Bell"	0.159792
"Russ Johnson"	0.15969
"Alex Gonzalez"	0.159338
"Matt Luke"	0.158796
"Carlos Perez"	0.157795
"Mark Kotsay"	0.157601
"Steve Finley"	0.15733
"Delino DeShields"	0.157199
"Geoff Jenkins"	0.156771
"Benny Agbayani"	0.156726
"Pat Burrell"	0.156634
"Greg Vaughn"	0.156484
"Fred McGriff"	0.155939
"Darin Erstad"	0.15551
"Kevin Jordan"	0.155507
"Tom Goodwin"	0.155442
"Carlos Lee"	0.155275
"Jose Vidro"	0.155212
"Johnny Damon"	0.153854
"Travis Fryman"	0.153812
"Tim Bogar"	0.153657
"Melvin Mora"	0.152826
"Rafael Palmeiro"	0.152558
"Corey Koskie"	0.152539
Renteria	0.152422
"Pat Meares"	0.152356
"Tim Salmon"	0.151891
"Kevin Young"	0.151881
"Fernando Tatis"	0.151625
"Jeff Conine"	0.151566
"Aaron Boone"	0.151548
"Matt Lawton"	0.151485
"Craig Biggio"	0.151247
"Moises Alou"	0.151063
"Travis Lee"	0.151011
"Vladimir Guerrero"	0.150781
"Mark McLemore"	0.150578
"Jeff Cirillo"	0.150459
"Marvin Benard"	0.150255
"Luis Castillo"	0.150088
Zeile	0.150053
"Chad Curtis"	0.14986
"Chad Kreuter"	0.149465
Cirillo	0.14913
"John Vander Wal"	0.148435
"Desi Relaford"	0.148297
"Quilvio Veras"	0.147996
"Brian Jordan"	0.147665
"Chuck Knoblauch"	0.147438
"Roger Cedeno"	0.147329
"Damian Jackson"	0.147138
Alicea	0.146626
"David Ortiz"	0.14631
"Fernando Vina"	0.145877
"Will Clark"	0.145869
"Luis Alicea"	0.145605
"Derek Bell"	0.145531
"Cristian Guzman"	0.145472
"Dante Bichette"	0.14531
"Chris Widger"	0.144434
"Doug Glanville"	0.144073
Lankford	0.143636
"Lenny Harris"	0.143392
"Richie Sexson"	0.143124
Palmeiro	0.142766
"Brian Hunter"	0.142707
Olerud	0.142477
"Gerald Williams"	0.142382
"Charlie Hayes"	0.14234
Sheffield	0.142227
"Mike Sweeney"	0.14221
"Mike Bordick"	0.14213
"Brady Anderson"	0.141401
"Carlos Beltran"	0.141367
"Jay Buhner"	0.141297
"Alex Rodriguez"	0.141096
Erstad	0.140824
"Todd Pratt"	0.140747
"Chan Ho Park"	0.140663
"Ron Gant"	0.140573
"Wilton Veras"	0.140295
"Mark Grace"	0.140287
Hollandsworth	0.140097
"Bobby Abreu"	0.139745
"J.T Snow"	0.139329
"David Segui"	0.138996
"Jeff Bagwell"	0.138894
"Todd Helton"	0.138462
"Garret Anderson"	0.13807
"Javy Lopez"	0.138014
Fullmer	0.137842
"Matt Walbeck"	0.137423
"Andy Fox"	0.1374
"Jason Varitek"	0.13735
"Trot Nixon"	0.137324
"Enrique Wilson"	0.137301
"Bengie Molina"	0.137251
"Preston Wilson"	0.137048
Veras	0.136773
"Ryan Klesko"	0.13658
Spiers	0.13655
"Andruw Jones"	0.136446
Higginson	0.136346
Abreu	0.136322
"Royce Clayton"	0.136168
"Ozzie Guillen"	0.135478
"Jose Valentin"	0.135342
"Jeffrey Hammonds"	0.135234
Elster	0.135188
"Walt Weiss"	0.135091
"Deivi Cruz"	0.134805
"Dmitri Young"	0.13461
"Tony Eusebio"	0.134549
"Bret Boone"	0.134507
"Charles Johnson"	0.134062
"Bobby Higginson"	0.133848
"Kevin Stocker"	0.133647
"Trenidad Hubbard"	0.133091
"Mike Piazza"	0.133063
DeShields	0.132865
"Bernie Williams"	0.132598
"Al Martin"	0.132496
"Erubiel Durazo"	0.132194
"Jim Leyritz"	0.132133
Aurilia	0.13203
"Kelly Stinnett"	0.132005
"Paul Bako"	0.131873
Burnitz	0.131516
"Nomar Garciaparra"	0.131506
Fryman	0.131408
"Tino Martinez"	0.131224
grieve	0.131194
"Lee Stevens"	0.131069
Brosius	0.131039
Merloni	0.130658
Batista	0.130556
"Carl Everett"	0.130499
"John Mabry"	0.130181
"Glenallen Hill"	0.130005
Tejada	0.129859
"Joe McEwing"	0.129684
"Rafael Furcal"	0.12964
Piazza	0.129506
"Ricky Gutierrez"	0.128977
"Mo Vaughn"	0.128918
Randa	0.128749
"Frank Thomas"	0.128701
"Andres Galarraga"	0.128651
"Rondell White"	0.128468
"Jason Giambi"	0.128331
"Brian Daubach"	0.12821
"Miguel Cairo"	0.128187
Agbayani	0.127974
"Wilton Guerrero"	0.127755
Meares	0.127462
"Luis Lopez"	0.127329
Bordick	0.126987
"Troy O'Leary"	0.125854
"Rico Brogna"	0.125526
"Mike Cameron"	0.125201
Dunston	0.124877
Knoblauch	0.124873
Hundley	0.124496
"B.J Surhoff"	0.124444
"Richard Hidalgo"	0.124355
"Barry Bonds"	0.124323
"Matt Stairs"	0.124008
"Mickey Morandini"	0.123982
"Rey Ordonez"	0.123853
"Craig Counsell"	0.123662
"Marquis Grissom"	0.123635
Glanville	0.123615
"Manny Ramirez"	0.12345
"Orlando Palmeiro"	0.123401
"Jim Thome"	0.123266
"Darryl Hamilton"	0.123208
Bonilla	0.122573
"Tony Phillips"	0.122394
"Jason Kendall"	0.12229
Caminiti	0.122039
Sexson	0.121982
"Brian Giles"	0.121878
"Edgar Renteria"	0.121771
"Rusty Greer"	0.12162
"Pokey Reese"	0.121572
Jeter	0.121374
Giambi	0.120605
"Ben Grieve"	0.120563
"Damon Buford"	0.120472
Alomar	0.120392
"Luis Gonzalez"	0.120307
"Ellis Burks"	0.120261
"Kirk Gibson"	0.120129
"Sean Casey"	0.119956
"Willie Greene"	0.119483
Castilla	0.119381
"Jorge Posada"	0.119329
"Cliff Floyd"	0.11932
"Henry Rodriguez"	0.11912
Klesko	0.11908
"Terrence Long"	0.118929
"Ed Sprague"	0.118885
Vizcaino	0.1187
"Todd Walker"	0.118603
"Danny Bautista"	0.118354
McGriff	0.118296
Garciaparra	0.118101
"Neifi Perez"	0.118059
"Brian McRae"	0.117762
"Reggie Sanders"	0.117664
"Tony Womack"	0.117158
"Edgar Martinez"	0.117074
"Ricky Ledee"	0.117039
"Craig Paquette"	0.117019
Offerman	0.116779
"Miguel Tejada"	0.116749
Ordonez	0.116368
"Keith Lockhart"	0.11627
"Mike Stanley"	0.11556
"Shannon Stewart"	0.115501
"Manny Alexander"	0.115443
"Jay Payton"	0.115256
Velarde	0.115008
McLemore	0.114924
"Ismael Valdes"	0.114314
"Shane Andrews"	0.114075
"Derek Jeter"	0.113913
"Ivan Rodriguez"	0.113862
"Chili Davis"	0.113774
"Kenny Lofton"	0.113769
"Jeromy Burnitz"	0.113601
Lieberthal	0.11342
"CARLOS HERNANDEZ"	0.113373
"Tony Clark"	0.113346
"Damion Easley"	0.113172
Vaughn	0.113142
"Carlos Baerga"	0.113021
"Darren Bragg"	0.113019
"Cal Ripken"	0.112936
Ripken	0.112928
"Mike Benjamin"	0.112848
"Sean Berry"	0.11281
Guillen	0.112461
Tatis	0.112321
"Rey Sanchez"	0.112256
Varitek	0.112194
"Dan Wilson"	0.112143
"Roberto Alomar"	0.112132
"Magglio Ordonez"	0.111929
Thome	0.111633
"Rich Aurilia"	0.11131
Cora	0.111273
Beltran	0.111252
Baerga	0.110884
"Wally Joyner"	0.110512
Surhoff	0.110468
Hidalgo	0.110389
"Barry Larkin"	0.110164
"Antonio Osuna"	0.110112
"Jamie Arnold"	0.109584
"Lance Berkman"	0.109421
"Darren Lewis"	0.109203
"Eric Gagne"	0.109178
Mabry	0.109053
Lofton	0.108951
Gant	0.108874
"Jim Edmonds"	0.108557
Womack	0.108478
"Mike Lieberthal"	0.108296
"Ruben Rivera"	0.108089
"Brant Brown"	0.107735
Segui	0.107656
Daubach	0.107567
"Tony Graffanino"	0.106976
"Karim Garcia"	0.106505
Delgado	0.106194
"Brad Fullmer"	0.105959
"Paul O'Neill"	0.105609
Konerko	0.105542
"Juan Encarnacion"	0.105178
"Harold Baines"	0.10499
Biggio	0.10491
Furcal	0.10474
"Jose Guillen"	0.104532
"Jeff Huson"	0.104467
"Carlos Febles"	0.104418
"Dave Martinez"	0.103778
Dreifort	0.103471
Bagwell	0.103214
Kreuter	0.103004
"Eddie Taubensee"	0.103001
"Bubba Trammell"	0.102898
Nevin	0.10276
"Shane Spencer"	0.102257
"GERONIMO BERROA"	0.102019
"Kevin Brown"	0.101834
"Ray Lankford"	0.101824
"Lou Merloni"	0.101752
"John Jaha"	0.101292
"Lance Johnson"	0.101235
"Stan Javier"	0.101225
Vizquel	0.101167
Burks	0.10096
"J.D Drew"	0.100919
"Quinton McCracken"	0.100853
"Dave Hollins"	0.100398
"Omar Vizquel"	0.100084
))
("Adrian Fernandez" (desc 1633.66) (sims
"Max Papis"	0.314594
"Michael Andretti"	0.302963
"Christian Fittipaldi"	0.236692
"Dario Franchitti"	0.232584
"Scott Pruett"	0.208076
"Greg Moore"	0.196108
"Alex Zanardi"	0.192016
"Al Unser Jr."	0.191618
"Bobby Rahal"	0.189036
"Jimmy Vasser"	0.185022
"Juan Montoya"	0.173183
"Robby Gordon"	0.172598
"Paul Tracy"	0.150466
"Jacques Villeneuve"	0.128702
"Didier Auriol"	0.128515
Franchitti	0.127405
"Mario Andretti"	0.116738
Andretti	0.114164
"Darrell Waltrip"	0.109857
"Matt Kenseth"	0.106322
"Bryan Herta"	0.10546
"Kenny Brack"	0.100073
"Billy Boat"	0.0961094
"Scott Goodyear"	0.0947431
"Jerry Nadeau"	0.0946186
"Mika Salo"	0.0927416
"Kenny Irwin"	0.0907828
"Rusty Wallace"	0.087289
"Ricky Rudd"	0.0822867
Zanardi	0.0816707
"Wally Dallenbach"	0.0811559
Sainz	0.0785101
Toluca	0.0784384
"Mike Skinner"	0.0770017
Necaxa	0.0767933
Makinen	0.0764465
"Michael Waltrip"	0.0763178
Coulthard	0.0760056
"Sam Schmidt"	0.0752114
"Tony Stewart"	0.075168
"David Coulthard"	0.0748455
"Bobby Labonte"	0.0746079
"Richard Burns"	0.0743143
Zabel	0.0729847
"Eddie Irvine"	0.0729367
"Colin McRae"	0.0723141
"Heinz-Harald Frentzen"	0.0721966
"Ken Schrader"	0.0708218
"Terry Labonte"	0.0694739
"Steve Park"	0.0691714
"Sterling Marlin"	0.0689323
"Elliott Sadler"	0.06879
"Damon Hill"	0.0681096
"Bill Elliott"	0.0679663
"Ernie Irvan"	0.0671409
"Scott Sharp"	0.0665734
"Buckshot Jones"	0.0660265
"Eddie Cheever"	0.0655973
"Bjarne Riis"	0.0655564
"Juha Kankkunen"	0.0654499
"Colo Colo"	0.0648419
"Miguel Indurain"	0.0648207
"Lasse Kjus"	0.0644052
"Carlos Sainz"	0.0640565
"Ralf Schumacher"	0.0633594
Montoya	0.0633577
Svorada	0.0617336
Herta	0.0617028
"Joe Nemechek"	0.0607286
"Ernesto Zedillo"	0.0605636
"Simona Amanar"	0.0602469
"Francesco Casagrande"	0.0601504
Zuelle	0.0597345
"Michael Schumacher"	0.0590482
"Wang Hui"	0.0584409
"Jeff Burton"	0.0583568
"Doak Walker"	0.0581185
Pippig	0.0575173
Sautin	0.0573455
"Jeremy Mayfield"	0.0573282
"Renate Goetschl"	0.0572116
"War Chant"	0.057053
Loroupe	0.0565659
"Arie Luyendyk"	0.0561145
"Chris Boardman"	0.0561045
"MIka Hakkinen"	0.055877
"Todd Bodine"	0.0558675
"Mark Martin"	0.0558152
Tanui	0.0557019
"Adam Petty"	0.0556678
"Rubens Barrichello"	0.0550941
Ottey	0.0548918
"Ji Xinpeng"	0.0548416
"Tyler Hamilton"	0.0544073
"A.J Foyt"	0.0542556
"Johnny Benson"	0.0535971
"Wang Chunlu"	0.0535194
Sayonara	0.0530094
"Ward Burton"	0.0529457
"Jose Jimenez"	0.0527254
"Anita Wachter"	0.0525297
"Chris Claiborne"	0.0523663
"Russ Ortiz"	0.0523073
"Dale Earnhardt"	0.0520786
"Ricky Craven"	0.0519366
Villeneuve	0.0518766
Foyt	0.0515035
"Shawn Estes"	0.051357
"Tim Hudson"	0.051257
Soyinka	0.0509018
"Alexandra Meissnitzer"	0.0508304
"Patty Schnyder"	0.0507286
"Dale Jarrett"	0.0505817
"Geoffrey Bodine"	0.050499
"Tom Steels"	0.0501956
"Tian Liang"	0.0497249
Hentgen	0.0496896
"Tommi Makinen"	0.0496846
Unser	0.049557
"Gary Hall Jr."	0.0493108
Schumacher	0.0488295
Aoki	0.0488026
"Favorite Trick"	0.0481137
Jalabert	0.0469907
"Donna Andrews"	0.0466966
"Bobby Hamilton"	0.0466171
Cipollini	0.0463265
"Answer Lively"	0.0460905
"Fu Mingxia"	0.0454475
"John Andretti"	0.0453876
decertification	0.0453052
"Sonia O'Sullivan"	0.0451203
Luyendyk	0.0450809
"Randall Simon"	0.0450074
"Asa Carlsson"	0.0449355
Daylami	0.0449036
"Alex Zuelle"	0.0448999
Vasser	0.0446531
Seizinger	0.0446292
"Jimmy Spencer"	0.0445504
"Freddy Garcia"	0.0445238
"Excellent Meeting"	0.0442535
"Dale Earnhardt Jr."	0.0442276
"Tegla Loroupe"	0.0442078
Pantani	0.0441556
"Isolde Kostner"	0.0441387
"Yu Zhuocheng"	0.0441037
"Yang Yang"	0.0440938
"Kjetil Andre Aamodt"	0.0440839
"Sepp Blatter"	0.0437178
Inkster	0.0437074
"Pernilla Wiberg"	0.0435454
Schnyder	0.0434399
"Jon Drummond"	0.0433886
"Wang Yan"	0.0431716
"Red Bullet"	0.0431093
"Julio Cesar Chavez"	0.0430312
"Alex Solis"	0.042751
Palmeiras	0.0426783
"Tara Snyder"	0.0426379
"Li Na"	0.042326
Hoogenband	0.0420901
spikers	0.0419605
Kjus	0.041931
"River Plate"	0.0418854
"Rashid Sidek"	0.041453
"Lemon Drop Kid"	0.0414111
Gustafsson	0.0413641
Susanti	0.0412665
"Richard Petty"	0.0412659
"Hilde Gerg"	0.0411856
"Banshee Breeze"	0.041139
"Claudia Pechstein"	0.0408634
"Li Ju"	0.0408237
Karlsson	0.0407455
"Stephen Got Even"	0.0405927
Ranford	0.0403292
Valhol	0.0401648
"Ebenezer Ekuban"	0.040129
"Worldly Manner"	0.0400987
"Wang Nan"	0.0400892
"Dick Trickle"	0.0400206
))
("Adrian Griffin" (desc 1241.51) (sims
"Paul Pierce"	0.200594
"Ron Mercer"	0.189219
"Raef LaFrentz"	0.171444
"Danny Fortson"	0.167392
"Kenny Anderson"	0.158808
"Antoine Walker"	0.156595
"Dana Barros"	0.154499
"Devean George"	0.150656
"Walter McCarty"	0.132506
"Shawn Marion"	0.124765
"Doug Christie"	0.124004
"Tony Battie"	0.119244
"Malik Sealy"	0.114974
"Kris Clack"	0.111032
"Cliff Robinson"	0.107358
"Dale Ellis"	0.10458
"Vitaly Potapenko"	0.10362
"Tariq Abdul-Wahad"	0.102079
"Ruben Patterson"	0.0993
"Kendall Gill"	0.0989601
"Eric Piatkowski"	0.0988447
"Richard Hamilton"	0.0980667
"Richard Jefferson"	0.0964586
"Mike Bibby"	0.0947619
"Shammond Williams"	0.0936303
"Jason Williams"	0.0915654
"Bonzi Wells"	0.091199
"Tyronn Lue"	0.0895289
"Michael Olowokandi"	0.0894547
"Michael Finley"	0.0890038
"Ron Artest"	0.0884279
"Steve Francis"	0.0874952
"Bob Sura"	0.0869711
"Shandon Anderson"	0.086863
"Jeff Weaver"	0.0863275
"Toby Bailey"	0.0859165
"Wayne Turner"	0.0848033
"Andre Miller"	0.0845905
"Antawn Jamison"	0.0845722
"Corey Maggette"	0.0841749
"Derek Anderson"	0.0826216
"Brevin Knight"	0.0825478
"Jumaine Jones"	0.0817024
"Bobby Phills"	0.0808131
"Cuttino Mobley"	0.0794323
"Austin Croshere"	0.0793723
"Keith Brooking"	0.0789234
"Mitch Meluskey"	0.0785722
"Jason Terry"	0.0779401
"Lamar Odom"	0.0778125
"Manny Malhotra"	0.077758
"Jalen Rose"	0.0775385
"Michael Dickerson"	0.0775032
"Solomon Page"	0.0760832
"Ukari Figgs"	0.0755622
"Bengie Molina"	0.0753649
"Chris Mills"	0.0742532
"Rafael Furcal"	0.0737994
"Mike Miller"	0.0737269
"Bryce Drew"	0.0731848
"Maurice Taylor"	0.0722761
"George McCloud"	0.0717219
"Trajan Langdon"	0.0709812
"Jerry Stackhouse"	0.0708576
"Seth Etherton"	0.0707301
"Scott Gomez"	0.0705243
Potapenko	0.0702076
"Nick Anderson"	0.0701298
"Larry Hughes"	0.0699115
"Vince Carter"	0.0690223
"Jeff Trepagnier"	0.068701
"Courtney Alexander"	0.0682513
"Gene Williams"	0.0676486
"Brent Barry"	0.067453
"Kerry Kittles"	0.0674258
"Travis Best"	0.0671423
"Rick Fox"	0.0670303
"Charlie Batch"	0.066971
"Kenny Thomas"	0.0668504
"Keith Van Horn"	0.066665
"Isaiah Rider"	0.0666213
"Walt Williams"	0.0664252
"David Wesley"	0.0663858
"Kobe Bryant"	0.0663145
"Dawn Staley"	0.0662868
"Terrell Brandon"	0.066079
"Tracy McGrady"	0.0658594
"Steve Nash"	0.0657623
"Randall Simon"	0.0654319
"Elton Brand"	0.0652281
"Bruce Aven"	0.0648951
"Clifford Robinson"	0.0647179
"Leon Smith"	0.0642972
"Robert Pack"	0.0641507
"Eric Snow"	0.0641045
"B.J Armstrong"	0.063963
"Wilton Veras"	0.0636713
"Kevin Williams"	0.0636695
"Matt Harpring"	0.063261
"Dan Majerle"	0.0631597
"Ray Allen"	0.0630047
"Manny Legace"	0.0630011
"Dirk Nowitzki"	0.0627181
"Cedric Ceballos"	0.0624671
"Tyrone Nesby"	0.0623434
McCloud	0.0621342
"Reggie Lewis"	0.0617762
"Chris Drury"	0.0617168
"Darrell Armstrong"	0.0617043
"Brett Hinchliffe"	0.0615195
"Jamal Mashburn"	0.0611831
"Jose Jimenez"	0.0611514
"Terrence Long"	0.0610539
"Kevin Johnson"	0.0608958
"Rick Pitino"	0.0608501
"Stephon Marbury"	0.0607511
"J.D Drew"	0.0607393
"Derrick Coleman"	0.0606758
"BRIAN MEADOWS"	0.060413
"Flozell Adams"	0.0603646
"Chamique Holdsclaw"	0.0599581
"Jimmy Oliver"	0.0599124
"Billy Owens"	0.05985
"Brandon Granville"	0.059736
"Erubiel Durazo"	0.0591788
"Carlos Beltran"	0.058815
"Dennis Scott"	0.0586344
"J.R Redmond"	0.0584275
"Baron Davis"	0.0583851
"Steve Park"	0.0583749
Voskuhl	0.05834
"Jonathan Bender"	0.0578918
Mashburn	0.0578421
"Bobby Estalella"	0.0577547
"Dion Glover"	0.0573925
"Matt Herges"	0.0572492
Fortson	0.057122
"Rashard Lewis"	0.0569586
"Mike Caruso"	0.0569171
"John Avery"	0.0567876
"Larry Bird"	0.0562793
"Einar Diaz"	0.0558319
"Penny Hardaway"	0.0557782
"Ephraim Salaam"	0.0557648
"Brenden Morrow"	0.0555018
"Brad Miller"	0.0554448
"Bruce Bowen"	0.0553731
"Angel Pena"	0.0553522
"JaRon Rush"	0.0553085
"Ebenezer Ekuban"	0.0551124
"Pat Burrell"	0.055054
"Rony Seikaly"	0.0550326
"Eric Gagne"	0.0548975
"Hersey Hawkins"	0.0548859
"Elliott Sadler"	0.0547014
"Jerry Nadeau"	0.0546632
"Blake Sloan"	0.0543103
"Jon Sim"	0.0543098
"Jesus Sanchez"	0.0541889
"Matt Luke"	0.0537512
Briere	0.0536733
Walbeck	0.0536568
"Clay Bellinger"	0.0535966
"Chris Carrawell"	0.0534322
Mercer	0.0532208
Hlavac	0.0530472
"Chris Taylor"	0.0529769
"Vlade Divac"	0.052791
Edberg	0.0526987
"Peerless Price"	0.0523887
"Jaren Jackson"	0.0523158
"Skip Hicks"	0.0522664
"Daryle Ward"	0.0521255
"Brian Skinner"	0.0521199
"Buckshot Jones"	0.0520933
"Ed Yarnall"	0.0519226
"Jerome Moiso"	0.0518445
Croshere	0.0517736
"Alan Henderson"	0.0515975
"Hidetoshi Nakata"	0.0513867
Hornacek	0.0511971
"Tom Brady"	0.051182
"Grant Long"	0.0511338
"Jin Ho Cho"	0.0509184
"Vladimir Nunez"	0.0509092
Lewises	0.0509023
"Andre Wadsworth"	0.0508437
"Charles Woodson"	0.0508168
"Patrik Stefan"	0.0506923
"Ryan Dempster"	0.0504609
"Jeff Hornacek"	0.0503094
"Trung Canidate"	0.0502192
"Luc Longley"	0.0501596
"Mark Madsen"	0.0500194
"Gabe Muoneke"	0.0499295
"Olli Jokinen"	0.049804
"Dimitrius Underwood"	0.0496972
"Shareef Abdur-Rahim"	0.0494785
"Manny Fernandez"	0.0493994
"Scarlet Knights"	0.0493727
))
("Adrian Ilie" (desc 1234.43) (sims
"Claudio Lopez"	0.272842
"Predrag Mijatovic"	0.217438
"Hao Haidong"	0.207527
"Alen Boksic"	0.207403
"Ian Wright"	0.194161
"Ivan Zamorano"	0.175374
"Raul Gonzalez"	0.170875
"Tore Andre Flo"	0.161662
"Hernan Crespo"	0.161026
"Harry Kewell"	0.160174
"Khodadad Azizi"	0.159145
"Patrick Kluivert"	0.158038
"Faustino Asprilla"	0.152664
"David Trezeguet"	0.152189
"Hristo Stoichkov"	0.151729
"Stan Collymore"	0.148745
"Luis Hernandez"	0.148335
"Juergen Klinsmann"	0.144143
"Oliver Bierhoff"	0.143592
"Dejan Savicevic"	0.143382
"Nwankwo Kanu"	0.142796
"Sun Wen"	0.141748
"Dejan Stankovic"	0.14134
"Gheorghe Hagi"	0.141101
"Ali Daei"	0.140952
"Fabrizio Ravanelli"	0.139972
"Ante Razov"	0.137711
"Ulf Kirsten"	0.135328
"Thierry Henry"	0.132289
"Carlos Hermosillo"	0.13222
"Paolo Di Canio"	0.130599
"Raul Diaz Arce"	0.128877
"Marcelo Salas"	0.127361
"Ariel Ortega"	0.127067
"Michael Owen"	0.124974
"Teddy Sheringham"	0.124929
"Brian Laudrup"	0.122703
"Hu Weidong"	0.120245
"Nicolas Anelka"	0.120204
"Roy Lassiter"	0.119899
"Christophe Dugarry"	0.119081
"Stern John"	0.118796
"Brian McBride"	0.118234
Edmundo	0.117474
"Dennis Bergkamp"	0.116707
"Cindy Parlow"	0.115964
"Youri Djorkaeff"	0.114214
Vieri	0.113989
"Alan Shearer"	0.113893
"Eric Wynalda"	0.112958
"Eric Cantona"	0.112752
"Dan Petrescu"	0.111113
"Christian Vieri"	0.110629
Juninho	0.109343
Bebeto	0.107654
"Hidetoshi Nakata"	0.1069
"Ole Gunnar Solskjaer"	0.105525
"Gianfranco Zola"	0.104422
"Andy Cole"	0.103871
"Davor Suker"	0.10336
"Robert Prosinecki"	0.103229
"Jason Kapono"	0.103065
"LaPhonso Ellis"	0.102969
"Tiffeny Milbrett"	0.102639
"Dwight Yorke"	0.102091
"Robbie Fowler"	0.100725
"Wang Tao"	0.100407
"Enrico Chiesa"	0.0998445
"Grant Long"	0.0985378
"Pierluigi Casiraghi"	0.0970898
"Alessandro Del Piero"	0.0967874
Suker	0.0958013
"Phillip Cocu"	0.0956914
Welton	0.0952856
"Kirk Muller"	0.0949479
Batistuta	0.0944798
"Zvonimir Boban"	0.0933252
"George Weah"	0.0932919
"Rebecca Lobo"	0.0928537
"Gianluca Vialli"	0.0913346
"Mia Hamm"	0.0911092
"Donyell Marshall"	0.0906962
"Kenny Thomas"	0.0902425
"Joe-Max Moore"	0.0899381
Romario	0.0893853
"Tamika Catchings"	0.0891797
"Li Na"	0.0889611
"Ryan Giggs"	0.086765
Ronaldo	0.0862468
"Roberto Baggio"	0.0862167
"Gabriel Batistuta"	0.0861873
"Jumaine Jones"	0.0857347
Hagi	0.0848632
"Lamond Murray"	0.0848013
"Mario Stanic"	0.0846243
"Cobi Jones"	0.0829206
"Kenyon Martin"	0.0824126
"Shareef Abdur-Rahim"	0.0817185
Raul	0.0810978
"ZIGMUND PALFFY"	0.0807772
"Michael Wright"	0.0798132
"Otis Thorpe"	0.0797751
"Filippo Inzaghi"	0.0796065
"Brian Skrudland"	0.0793838
"Sinisa Mihajlovic"	0.0785186
"Fan Zhiyi"	0.0783359
"Clint Mathis"	0.0782575
"Rico Hines"	0.0781546
"Luis Figo"	0.0778547
Alfonso	0.0778213
"Chris Porter"	0.0777026
"Richard Jefferson"	0.0776306
Fenerbahce	0.0772101
"Lee Nailon"	0.075612
Rivaldo	0.0750151
"Alexei Kovalev"	0.0748022
Salas	0.0744282
"Corliss Williamson"	0.0743762
"Mike Keane"	0.0741115
"Pavol Demitra"	0.0736928
"Aaron Williams"	0.0728272
Piero	0.0722964
"Walt Williams"	0.0716191
"Shawn Marion"	0.0715676
"Donald Audette"	0.0715475
"Rashard Lewis"	0.0715066
"Paul Scholes"	0.071504
"Blake Sloan"	0.0711842
"Don Maclean"	0.0711617
"Othella Harrington"	0.0710127
"Michael Laudrup"	0.0705579
"Dominique Wilkins"	0.0696729
"Robert Jarni"	0.0692431
"Ron Artest"	0.0692266
"Wally Szczerbiak"	0.0691381
"Chris Carrawell"	0.069116
"Darius Miles"	0.0689066
"Ruud Gullit"	0.0685588
Klinsmann	0.0684756
"Chris Drury"	0.0681482
Djorkaeff	0.0681208
Denilson	0.0676199
"DeLisha Milton"	0.0675265
Sissi	0.0674809
"Jermaine O'Neal"	0.0674638
Eusebio	0.0674302
"Thomas Haessler"	0.0672631
"Teemu Selanne"	0.0672245
"Terry Cummings"	0.0670758
"Keith Van Horn"	0.0669934
Bierhoff	0.066916
"Jorge Campos"	0.0667927
"CORIE BLOUNT"	0.0667728
"Joe Thornton"	0.0667693
"Jarvis Turner"	0.0666463
Zico	0.0662941
"Samaki Walker"	0.0659044
"Rodney Rogers"	0.0654808
"Brian Scalabrine"	0.0654791
Owen	0.0651789
"Chris Anstey"	0.0647922
"Darren McCarty"	0.0647553
"SCOTT BURRELL"	0.0647057
Bergkamp	0.0647034
"Shawn Kemp"	0.0646018
"Danny Manning"	0.0644686
"Guy Carbonneau"	0.0643905
"Clifford Robinson"	0.0643249
"Tony Amonte"	0.0641553
"Mike Miller"	0.0641045
"Jamie Feick"	0.0639198
Anelka	0.0639047
"Juwan Howard"	0.0638783
Testud	0.0631202
"Pat Garrity"	0.0630992
"Toni Kukoc"	0.0629006
"Matt Bullard"	0.062872
"Sean Elliott"	0.0626365
"Michelle Akers"	0.0625662
"Brian Rolston"	0.0625532
"Guo Jingjing"	0.0620065
"Raef LaFrentz"	0.0615673
"Andreea Raducan"	0.0613563
"Real Sociedad"	0.0611463
Battie	0.0611139
"Jerome Moiso"	0.0609233
"Bryon Russell"	0.060905
"Michael Finley"	0.0608951
"Sheryl Swoopes"	0.060881
"Grant Marshall"	0.0608401
"Gabe Muoneke"	0.060773
"Patrick Vieira"	0.0605506
"Theo Ratliff"	0.0604566
"Detlef Schrempf"	0.0603637
"Antawn Jamison"	0.0603593
"Jonathan Bender"	0.0603562
"Shannon MacMillan"	0.0603294
"Dale Ellis"	0.0602174
"Aaron Gavey"	0.060184
"Matt Harpring"	0.0600864
))
("Adrian Murrell" (desc 1815.99) (sims
"Stephen Davis"	0.240785
"Thomas Jones"	0.231561
"Trung Canidate"	0.208012
"Mike Cloud"	0.193364
"Karim Abdul-Jabbar"	0.181848
"Michael Wiley"	0.172636
"Tyrone Wheatley"	0.164875
"Skip Hicks"	0.161435
"Ricky Watters"	0.160976
"Curtis Enis"	0.160471
"Gary Brown"	0.159987
"Terry Allen"	0.155501
"James Johnson"	0.149546
"Chris Warren"	0.147084
"Charlie Garner"	0.145647
"Jamal Lewis"	0.142942
"Ron Dayne"	0.141779
"Robert Edwards"	0.137702
"Jerome Bettis"	0.128339
"Robert Smith"	0.126881
"Fred Taylor"	0.126856
"Eric Dickerson"	0.121911
"Aeneas Williams"	0.121775
"Emmitt Smith"	0.120317
"Jamal Anderson"	0.119488
"Curtis Martin"	0.119407
"Marshall Faulk"	0.117515
"Barry Sanders"	0.11485
"Chad Morton"	0.114075
"Shaun Alexander"	0.113627
"John Avery"	0.113369
"Kevin Faulk"	0.112844
"Rob Moore"	0.109591
"Edgerrin James"	0.109138
"Terrell Davis"	0.107931
STALEY	0.107894
"Cecil Collins"	0.107647
"Warrick Dunn"	0.105581
"Tiki Barber"	0.104536
"Frank Sanders"	0.103885
"J.R Redmond"	0.103538
Murrell	0.102877
"Lawrence Phillips"	0.1018
"Ricky Williams"	0.101081
"Byron Hanspard"	0.0983359
"Sedrick Shaw"	0.0943882
"Larry Centers"	0.0934503
"Lomas Brown"	0.0924013
"Thurman Thomas"	0.0923854
"Mike Alstott"	0.0923026
"Eddie George"	0.0907407
"Lamar Smith"	0.0897745
"Walter Payton"	0.0892041
"James Stewart"	0.0880564
"Dorsey Levens"	0.0873129
"Chuck Smith"	0.0867298
"Jim Brown"	0.0849916
"Garrison Hearst"	0.0819337
"Pat Hentgen"	0.0803405
Watters	0.0779708
"Anthony Johnson"	0.0771238
"Dave McGinnis"	0.076765
"Herschel Walker"	0.0761329
"Leon Johnson"	0.075919
"DeShaun Foster"	0.0749465
"Keith Brown"	0.073879
Hardeman	0.0736328
"Charlie Batch"	0.0731532
"Jeff Weaver"	0.0726999
"Eric Swann"	0.0725535
"Todd Stottlemyre"	0.0717317
"Kent Bottenfield"	0.0717078
"Bo Jackson"	0.071039
"Andre Wadsworth"	0.0699269
"Matt Morris"	0.0694851
"Jose Jimenez"	0.0686791
"Sultan McCullough"	0.0681841
"Jamey Wright"	0.0673012
Laettner	0.0672366
"Darren Oliver"	0.0672341
Toombs	0.0665559
Tiki	0.0660254
"O.J Santiago"	0.0657125
"David Palmer"	0.0646384
motley	0.0641746
Faulk	0.0640516
"Erik Kramer"	0.0638724
"Tony Dorsett"	0.0635848
rusher	0.0616043
"Dave Brown"	0.0608783
"Scott Karl"	0.0606888
Laperriere	0.0600703
"Bryce Florie"	0.0597107
"David LaFleur"	0.0593201
"Shane Reynolds"	0.0591119
"Gil Heredia"	0.0587179
"Jake Plummer"	0.0585195
"Simeon Rice"	0.0582711
"Greg Ellis"	0.0579433
Berard	0.057182
"Fernando Vina"	0.0569649
Lieberthal	0.0568493
"Quincy Carter"	0.056726
"Glenn Foley"	0.0566237
"Peerless Price"	0.0565582
Kanell	0.056482
"Pete Schourek"	0.0563859
"Eric Metcalf"	0.056098
Brogna	0.0556794
"Yancey Thigpen"	0.0551478
Dayne	0.0551092
"Steve Sparks"	0.0549703
"Marcus Allen"	0.0547484
"Sterling Hitchcock"	0.0547216
"Chris Carpenter"	0.0546038
"Ike Hilliard"	0.0545536
Mercker	0.0544327
"Eric Milton"	0.0541663
"Trent Green"	0.0541079
Recchi	0.0539053
"Jim Harbaugh"	0.053833
"Robert Reichel"	0.0538165
Rhett	0.0537539
"Jon Lieber"	0.0537354
"Rob Johnson"	0.0537136
"Scott Erickson"	0.053502
"Terry Mulholland"	0.0531934
Audette	0.0531876
"Rodney Peete"	0.0526106
"Brian Anderson"	0.052553
"Pat Garrity"	0.0523336
Tait	0.0519027
"Dave Burba"	0.0518293
"Michael Westbrook"	0.0516226
GPU	0.0515377
"Darryl Kile"	0.0514988
"BRIAN MEADOWS"	0.0514818
"Shawn Estes"	0.051417
Olivares	0.0512964
"Jamir Miller"	0.0512653
"Mike Hampton"	0.0511591
"Mark Gardner"	0.0510856
Hurtado	0.0508942
Samuelsson	0.0507895
"Vinny Testaverde"	0.0504674
"Paul Byrd"	0.0504068
"Brad Johnson"	0.0503316
"Russ Ortiz"	0.050289
Wheatley	0.0502132
"Bruce Smith"	0.0501799
Rueter	0.0498632
"Wayne Turner"	0.0497401
"Tom Candiotti"	0.0495854
"Ty Detmer"	0.0495304
"Jeff Fassero"	0.0495203
"Joey Hamilton"	0.049377
"Kevin Williams"	0.0490869
"Mac Suzuki"	0.048904
"Tim Dwight"	0.0487637
Fortson	0.0484946
"Woody Williams"	0.048173
"Torry Holt"	0.0481605
"Mark Clark"	0.0479812
"Edgar Renteria"	0.0479287
"Doak Walker"	0.0477723
"Doug Gilmour"	0.0477719
monogram	0.0476995
Nowitzki	0.047696
"Dave Andreychuk"	0.0476521
"Devean George"	0.0475
"Michael Wright"	0.0474328
tailback	0.0474028
batboy	0.0472409
McNown	0.0471212
"Charles Haley"	0.0470621
Parris	0.0470619
"Darren Dreifort"	0.0469097
"Vitaly Potapenko"	0.0468745
Gebrselassie	0.0468008
"Rico Brogna"	0.0467921
"Armando Reynoso"	0.0463419
"Damian Rhodes"	0.0463376
"Horace Grant"	0.0462779
"John Burkett"	0.046257
Primeau	0.0462472
"Tom Lampkin"	0.0461616
Artest	0.0461187
Lindros	0.0460154
Checo	0.0459952
"Ray Lankford"	0.0459576
"Andre Rison"	0.0459005
"Mike Morgan"	0.0458629
D'Amico	0.0458351
"Ken Hill"	0.0458033
"Freddy Garcia"	0.0457572
"Bill Pulsipher"	0.045545
"Doug Johnson"	0.0454126
"Luis Hernandez"	0.045383
Kidd	0.0453688
"Steve DeBerg"	0.0453178
))
("Adrian Voinea" (desc 1500.47) (sims
"Andrei Pavel"	0.562006
"Catalina Cristea"	0.491879
"Sarah Pitkowski"	0.424715
"Franco Squillari"	0.4204
"Albert Portas"	0.414753
"Ruxandra Dragomir"	0.413465
"Magui Serna"	0.410378
"Anne Kremer"	0.409698
"Renzo Furlan"	0.409627
"Hernan Gumy"	0.407995
"Nathalie Dechy"	0.392817
"Xavier Malisse"	0.391447
"Mariano Zabaleta"	0.390784
"Marcelo Filippini"	0.375279
"Arnaud Di Pasquale"	0.372475
"Ramon Delgado"	0.364879
"Jerome Golmard"	0.36413
"Christian Ruud"	0.359768
"Neville Godwin"	0.357302
"Sargis Sargsian"	0.352805
"Silvia Farina"	0.350831
"Florencia Labat"	0.350376
"Naoko Sawamatsu"	0.349961
"Richard Fromberg"	0.348967
"Magdalena Maleeva"	0.348495
"Tatiana Panova"	0.34074
"Rainer Schuttler"	0.338711
"Juan Antonio Marin"	0.338616
"Paola Suarez"	0.336921
"Kenneth Carlsen"	0.334648
"Jeff Tarango"	0.333346
"Younes El Aynaoui"	0.333288
"Sabine Appelmans"	0.332678
"Arnaud Clement"	0.329973
"Sjeng Schalken"	0.329151
"Elena Likhovtseva"	0.327384
"Irina Spirlea"	0.326663
"Vincent Spadea"	0.326545
"Julian Alonso"	0.325068
"Guillaume Raoux"	0.323318
"Sebastien Lareau"	0.322651
"Galo Blanco"	0.320373
"Arnaud Boetsch"	0.31936
"Judith Wiesner"	0.319301
"Nicole Pratt"	0.318983
"Asa Carlsson"	0.317703
"Andrea Gaudenzi"	0.316137
"Sebastien Grosjean"	0.315681
"Mikael Tillstrom"	0.312875
"Marcos Ondruska"	0.3128
"Karim Alami"	0.310457
"Miriam Oremans"	0.306906
"Carlos Costa"	0.306791
"Andreas Vinciguerra"	0.306658
"Steve Campbell"	0.304487
"David Prinosil"	0.30403
"Scott Draper"	0.303567
"Rita Grande"	0.301423
"Max Mirnyi"	0.29984
"Nicolas Escude"	0.297049
"Joannette Kruger"	0.297006
"Tamarine Tanasugarn"	0.296299
"Grant Stafford"	0.295226
"Gianluca Pozzi"	0.295131
"Fernando Meligeni"	0.294025
"Els Callens"	0.293756
"Hicham Arazi"	0.292731
"Barbara Rittner"	0.291613
"Andrew Ilie"	0.291016
"Roger Federer"	0.290191
"Mariano Puerta"	0.289842
"Jonathan Stark"	0.28921
"Filip Dewulf"	0.288936
"Elena Dementieva"	0.287333
"Alexandra Fusai"	0.287092
"Fabrice Santoro"	0.285826
"Alberto Costa"	0.285722
"Tara Snyder"	0.284765
"Kim Clijsters"	0.284281
"Wayne Black"	0.28403
"Cara Black"	0.283034
"Anne-Gaelle Sidot"	0.28246
"Ai Sugiyama"	0.280864
"Michael Tebbutt"	0.278424
"Javier Sanchez"	0.276369
"Magnus Gustafsson"	0.275429
"Sergi Bruguera"	0.273802
"Davide Sanguinetti"	0.273307
"Olga Barabanschikova"	0.272629
"Leander Paes"	0.272324
"John Van Lottum"	0.271758
"Brett Steven"	0.270744
"Mark Knowles"	0.269874
"Yayuk Basuki"	0.269237
"Kristie Boogert"	0.267057
"Vince Spadea"	0.266726
"Francisco Clavet"	0.266649
"Jason Stoltenberg"	0.265045
"Dominique Van Roost"	0.264802
"Marc Rosset"	0.264293
"Alberto Berasategui"	0.264031
"Amy Frazier"	0.263915
"Wayne Arthurs"	0.263431
"Barbara Paulus"	0.263229
"Kveta Hrdlickova"	0.262906
"Barbara Schwartz"	0.26182
"Nicolas Lapentti"	0.261575
"Corina Morariu"	0.261311
"Amelie Mauresmo"	0.259873
"Juan Carlos Ferrero"	0.259247
"Chris Woodruff"	0.258665
"Li Fang"	0.257509
"Byron Black"	0.256973
"Daniel Nestor"	0.256213
"MaliVai Washington"	0.253602
"Paul Haarhuis"	0.253473
"Karina Habsudova"	0.25341
"Andrei Medvedev"	0.252218
"Marat Safin"	0.251872
"Andres Gomez"	0.248593
"Thomas Johansson"	0.247882
"Magnus Norman"	0.247877
"Richey Reneberg"	0.244804
"Mirjana Lucic"	0.244741
"Lisa Raymond"	0.244255
"Kimiko Date"	0.243542
"Bohdan Ulihrach"	0.243245
"Nicolas Kiefer"	0.242832
"Slava Dosedel"	0.242126
"Martin Damm"	0.240985
"Chanda Rubin"	0.240792
"Tommy Haas"	0.239409
"Anke Huber"	0.239363
"Guy Forget"	0.23842
"Felix Mantilla"	0.237896
"Mark Woodforde"	0.237653
"Todd Woodbridge"	0.236661
"Magnus Larsson"	0.236076
"Dominik Hrbaty"	0.231686
"Julie Halard-Decugis"	0.231492
"Brenda Schultz-McCarthy"	0.231186
"Natasha Zvereva"	0.229662
"Daniel Vacek"	0.229639
"Sandrine Testud"	0.228538
"Wayne Ferreira"	0.228066
"Denisa Chladkova"	0.223992
"Justin Gimelstob"	0.222343
"Barbara Schett"	0.221791
"Dennis van Scheppingen"	0.221156
"Jelena Dokic"	0.220637
"Henrieta Nagyova"	0.217983
"Adriana Gersi"	0.217577
"Rika Hiraki"	0.21696
"Jonas Bjorkman"	0.216095
"Jan-Michael Gambill"	0.215368
"Patty Schnyder"	0.213974
"Alex O'Brien"	0.213341
"Jiri Novak"	0.212327
Dragomir	0.21134
"Kimberly Po"	0.209856
"Cedric Pioline"	0.209247
"Mahesh Bhupathi"	0.20683
Kroslak	0.206079
"Michael Stich"	0.205402
"Nathalie Tauziat"	0.201786
"Mary Joe Fernandez"	0.199827
"Paul Goldstein"	0.195584
"Iva Majoli"	0.194149
"Mark Philippoussis"	0.194068
Swardt	0.192674
"Thomas Enqvist"	0.191962
"Partizan Belgrade"	0.190983
"Todd Martin"	0.190008
"Albert Costa"	0.18998
"Thomas Muster"	0.189639
"Lori McNeil"	0.18837
"Helena Sukova"	0.187768
"Alexandra Stevenson"	0.187573
"Tim Henman"	0.18723
Zamalek	0.187137
"Janet Lee"	0.186498
Schalken	0.184684
"Sandon Stolle"	0.183124
"Nicklas Kulti"	0.182468
"Richard Krajicek"	0.18098
"Conchita Martinez"	0.179226
Nacional	0.179166
"Amanda Coetzer"	0.176538
Siemerink	0.176444
"Pat Rafter"	0.175262
"Diego Nargiso"	0.173527
"Greg Rusedski"	0.172139
"Gustavo Kuerten"	0.171407
"Rodney Eyles"	0.169984
"Jennifer Capriati"	0.168369
"Andreea Raducan"	0.166113
"Michael Chang"	0.165836
"Mary Pierce"	0.165707
"Carlos Moya"	0.165144
"Olivier Delaitre"	0.164899
"Stefan Edberg"	0.162702
"Wang Shi-Ting"	0.162311
Mauresmo	0.160473
Stoltenberg	0.158804
"Gabriela Szabo"	0.158637
"Petr Korda"	0.15859
Tarango	0.15595
"Goran Ivanisevic"	0.155779
"Karol Kucera"	0.155535
Likhovtseva	0.155066
"Ji Xinpeng"	0.154864
"Arantxa Sanchez-Vicario"	0.154719
"Zhang Ning"	0.154516
"Mats Wilander"	0.154015
"Alex Corretja"	0.153855
"Athletic Bilbao"	0.153805
Prinosil	0.153141
"Fung Permadi"	0.152971
"Jim Courier"	0.152883
Testud	0.152551
"Lleyton Hewitt"	0.151666
"Sandra Kleinova"	0.150874
Independiente	0.150507
"Marcelo Rios"	0.149932
Berasategui	0.149929
Besiktas	0.149713
"Yevgeny Kafelnikov"	0.149424
"Ong Ewe Hock"	0.14808
"Katarina Studenikova"	0.148006
"Jacco Eltingh"	0.147698
"Slavia Prague"	0.145376
"Gong Zhichao"	0.145052
Damm	0.14442
"Anna Kournikova"	0.143147
"Arantxa Sanchez Vicario"	0.142531
"Colo Colo"	0.141908
"Serena Williams"	0.141545
"Chen Jing"	0.141116
Olimpia	0.140945
"Olympique Marseille"	0.139447
"Jean-Philippe Gatien"	0.138601
"Larisa Neiland"	0.138237
Halard-Decugis	0.138019
Spirlea	0.136787
"Patrick Rafter"	0.136779
Kuerten	0.136516
"Simon Archer"	0.136254
"Le Defi Francais"	0.136214
"Olympiakos Piraeus"	0.13619
"Phenix City"	0.136149
"Boris Becker"	0.135535
"Peter Nicol"	0.134959
"Peter Rasmussen"	0.134495
Meligeni	0.134016
"DON JOHNSON"	0.133683
"Wang Chen"	0.133389
Sanchez-Vicario	0.132633
"Vladimir Samsonov"	0.131693
Haarhuis	0.131379
"VfB Stuttgart"	0.131236
"Yang Ying"	0.130688
"Jana Novotna"	0.129566
Anderlecht	0.129172
"Zoran Primorac"	0.128324
Benfica	0.128285
"Martin Lee"	0.128247
Spadea	0.128036
Sidot	0.127481
Habsudova	0.126693
"David Rikl"	0.126613
"Joko Suprianto"	0.124988
Ulihrach	0.124653
"Heryanto Arbi"	0.124571
Korda	0.124251
"Ma Lin"	0.123915
"Wang Liqin"	0.12391
Penarol	0.123337
Rosenborg	0.123092
Bjorkman	0.122874
Brondby	0.121881
Gremio	0.121127
"Dai Yun"	0.120936
Panathinaikos	0.120015
"Venus Williams"	0.119266
"Australian Mark Philippoussis"	0.119257
"Susi Susanti"	0.119188
"Bjorn Borg"	0.11896
Susanti	0.11863
Schett	0.118372
"Jimmy Connors"	0.117281
Kucera	0.116819
"Gong Ruina"	0.116493
Starzz	0.115623
Cruzeiro	0.114441
"Simona Amanar"	0.114418
"Sturm Graz"	0.114309
"Budi Santoso"	0.113785
"Van Roost"	0.113261
Bruguera	0.113127
"American Todd Martin"	0.113017
"River Plate"	0.113008
Auxerre	0.11294
"Guangzhou Apollo"	0.112922
Enqvist	0.112436
"Camilla Martin"	0.11223
Sugiyama	0.112168
"Lindsay Davenport"	0.112071
"Celta Vigo"	0.11191
Kafelnikov	0.111842
"Spartak Moscow"	0.111834
"Ye Zhaoying"	0.110988
Rusedski	0.110656
Dosedel	0.110653
Palmeiras	0.110236
"Taufik Hidayat"	0.109193
"Li Ju"	0.108544
"Boca Juniors"	0.108527
"Guangdong Hongyuan"	0.108419
"Xia Xuanze"	0.107993
"Monica Seles"	0.107891
"Kinder Bologna"	0.107695
"Rashid Sidek"	0.107645
Raoux	0.107504
"Wang Nan"	0.107272
Galatasaray	0.107246
Schnyder	0.107231
"Qingdao Hainiu"	0.106948
Moya	0.106848
"Prada Challenge"	0.106314
"Paul Johnson"	0.106137
Edberg	0.105834
"Crimson Tide"	0.105371
"Werder Bremen"	0.105327
"Sanchez Vicario"	0.105055
"Steffi Graf"	0.104787
"Slovak Republic"	0.10474
Woodforde	0.104449
Santoro	0.104258
"Velez Sarsfield"	0.104223
Hendrawan	0.104197
"Kong Linghui"	0.103795
AmericaOne	0.1037
Bastia	0.103539
"Martina Hingis"	0.10351
Olympiakos	0.103382
"Dong Jiong"	0.103273
"AEK Athens"	0.102968
Atalanta	0.102598
Capriati	0.102493
Larsson	0.102388
Mantilla	0.101401
"Atletico Madrid"	0.100902
Heerenveen	0.10075
Fenerbahce	0.100666
))
("Adriana Gersi" (desc 1881.56) (sims
"Sandra Kleinova"	0.417202
"Helena Sukova"	0.394794
"Denisa Chladkova"	0.369769
"Kveta Hrdlickova"	0.293232
"Katarina Studenikova"	0.275865
"Henrieta Nagyova"	0.272441
"Karina Habsudova"	0.26553
"Barbara Rittner"	0.238634
"Anne Kremer"	0.235053
"Joannette Kruger"	0.234898
"Catalina Cristea"	0.231897
"Albert Portas"	0.228516
"Bohdan Ulihrach"	0.225672
"Xavier Malisse"	0.225076
"Magui Serna"	0.221027
"Paola Suarez"	0.220674
"Asa Carlsson"	0.21969
"Slava Dosedel"	0.219286
"Christian Ruud"	0.217668
"Adrian Voinea"	0.217577
"Hernan Gumy"	0.216628
"Tatiana Panova"	0.216085
"Rainer Schuttler"	0.21607
"Daniel Vacek"	0.214373
"Nathalie Dechy"	0.214169
"Arnaud Boetsch"	0.214083
"Wang Shi-Ting"	0.211163
"Neville Godwin"	0.209039
"Andrei Pavel"	0.207383
"Franco Squillari"	0.20562
"Rita Grande"	0.20479
"Nicole Pratt"	0.20359
"Els Callens"	0.201358
"Renzo Furlan"	0.200258
"Cara Black"	0.199726
"Marcelo Filippini"	0.198636
"Dennis van Scheppingen"	0.198281
"Juan Antonio Marin"	0.197736
"Magdalena Maleeva"	0.197411
"Janet Lee"	0.197365
"Mariano Zabaleta"	0.197175
"Sarah Pitkowski"	0.196521
"Ramon Delgado"	0.196511
"Florencia Labat"	0.19617
"Martin Damm"	0.193301
"Jiri Novak"	0.192666
"Nicolas Escude"	0.192576
"Tara Snyder"	0.192362
"Max Mirnyi"	0.190329
"Judith Wiesner"	0.189479
"Marcos Ondruska"	0.18705
"Jerome Golmard"	0.186826
"Karim Alami"	0.186461
"Alexandra Fusai"	0.185082
"Arnaud Di Pasquale"	0.184107
"Kim Clijsters"	0.183886
"Olga Barabanschikova"	0.182592
"Andreas Vinciguerra"	0.182272
"Grant Stafford"	0.182125
"Steve Campbell"	0.181986
"Andrew Ilie"	0.18191
Habsudova	0.181102
"Arnaud Clement"	0.180973
"Michael Tebbutt"	0.18042
"Miriam Oremans"	0.180295
"Naoko Sawamatsu"	0.178498
"Li Fang"	0.176789
"Kristie Boogert"	0.176432
"Sargis Sargsian"	0.176078
"Younes El Aynaoui"	0.175849
"Rika Hiraki"	0.173102
"Carlos Costa"	0.173078
"Galo Blanco"	0.170325
"Silvia Farina"	0.170003
"Barbara Paulus"	0.167243
"Sebastien Lareau"	0.167
"John Van Lottum"	0.166114
"Jonathan Stark"	0.16405
"Mariano Puerta"	0.163769
"Alberto Costa"	0.163713
"Vincent Spadea"	0.162934
"Richard Fromberg"	0.162578
"Yayuk Basuki"	0.162421
"Larisa Neiland"	0.161459
"Mikael Tillstrom"	0.16089
"Guillaume Raoux"	0.160246
"Sabine Appelmans"	0.160127
"Gianluca Pozzi"	0.159934
"Sebastien Grosjean"	0.159632
"Amy Frazier"	0.159571
"Barbara Schwartz"	0.156763
"Filip Dewulf"	0.15661
"Kenneth Carlsen"	0.154358
"Sjeng Schalken"	0.154178
"Javier Sanchez"	0.153906
"Brenda Schultz-McCarthy"	0.153397
"Scott Draper"	0.153047
"Jeff Tarango"	0.152895
"Elena Dementieva"	0.15254
"Tamarine Tanasugarn"	0.151643
Svorada	0.151588
"Petr Korda"	0.147702
"Davide Sanguinetti"	0.14744
"David Prinosil"	0.14594
"Hicham Arazi"	0.145696
"Francisco Clavet"	0.142235
"Fernando Meligeni"	0.142114
"Ruxandra Dragomir"	0.14155
"Juan Carlos Ferrero"	0.141494
"Roger Federer"	0.140237
"Sergi Bruguera"	0.140095
"Corina Morariu"	0.13975
"Dominique Van Roost"	0.139717
"Andrea Gaudenzi"	0.13949
"Brett Steven"	0.139352
"Anne-Gaelle Sidot"	0.138774
"Amelie Mauresmo"	0.138016
"Julian Alonso"	0.137665
"Alberto Berasategui"	0.136689
"Mirjana Lucic"	0.136008
"Wayne Black"	0.133559
"Ai Sugiyama"	0.133421
"Daniel Nestor"	0.133318
"Jana Novotna"	0.132127
Zelezny	0.131298
"Elena Likhovtseva"	0.13116
"Leander Paes"	0.130574
"Fabrice Santoro"	0.130226
"Nicolas Lapentti"	0.129805
Kroslak	0.129609
"Andres Gomez"	0.127998
"Slavia Prague"	0.12695
"Olivier Delaitre"	0.126797
Ulihrach	0.12678
"Paul Haarhuis"	0.12663
"MaliVai Washington"	0.122204
"Magnus Gustafsson"	0.122132
"Kimiko Date"	0.122042
"Magnus Larsson"	0.121821
"Sandrine Testud"	0.119394
"Byron Black"	0.117905
"Sandon Stolle"	0.117802
"Lisa Raymond"	0.117671
"Chanda Rubin"	0.117528
"Partizan Belgrade"	0.117252
"Nicklas Kulti"	0.117102
"Kimberly Po"	0.116112
"Mark Knowles"	0.115902
"Richey Reneberg"	0.115858
"Jason Stoltenberg"	0.11476
"Julie Halard-Decugis"	0.114733
"Guy Forget"	0.114499
"Natasha Zvereva"	0.114418
"Marc Rosset"	0.112835
"Irina Spirlea"	0.112495
Nacional	0.112489
"Felix Mantilla"	0.112484
Independiente	0.112364
"Anke Huber"	0.112211
"Andrei Medvedev"	0.112072
"Patty Schnyder"	0.111963
"Vince Spadea"	0.110953
"Karol Kucera"	0.110926
"Barbara Schett"	0.110559
"Dominik Hrbaty"	0.110107
"Chris Woodruff"	0.109976
"Michael Stich"	0.10978
"Justin Gimelstob"	0.109314
"Iva Majoli"	0.109138
"Marat Safin"	0.108989
Swardt	0.10816
"Albert Costa"	0.108007
"Todd Woodbridge"	0.106416
"Mark Woodforde"	0.105123
"Diego Nargiso"	0.104751
"Mahesh Bhupathi"	0.104643
"Wayne Arthurs"	0.104511
"Colo Colo"	0.104189
Olimpia	0.103642
"Jan-Michael Gambill"	0.103002
"Thomas Johansson"	0.102303
"Mary Joe Fernandez"	0.100966
"Magnus Norman"	0.100927
"Tommy Haas"	0.100498
"Nicolas Kiefer"	0.0984082
"Lori McNeil"	0.0983621
"Conchita Martinez"	0.0971613
"David Rikl"	0.0965077
"Alex O'Brien"	0.0963141
"Amanda Coetzer"	0.0953466
"Wayne Ferreira"	0.0953046
"Nathalie Tauziat"	0.0950399
"Paul Goldstein"	0.0944176
"Jelena Dokic"	0.0943793
"Stefan Edberg"	0.0941575
Siemerink	0.0914636
"Chen Jing"	0.0913749
Raoux	0.0905527
Kucera	0.0902038
"Pat Rafter"	0.0900995
))
(Adriatic (desc 8230.24) (sims
"Adriatic Sea"	0.241135
Mediterranean	0.183698
"Baltic Sea"	0.151444
"Persian Gulf"	0.146845
"Red Sea"	0.146706
"Black Sea"	0.135903
"Mediterranean Sea"	0.117981
Baltic	0.117164
Aegean	0.115745
"Indian Ocean"	0.107511
Gulf	0.106814
"Sea of Japan"	0.102131
Atlantic	0.0982956
"Yellow Sea"	0.0969337
"East China Sea"	0.0956585
"English Channel"	0.095465
pacific	0.094908
"Aegean Sea"	0.0940098
"North Atlantic"	0.093989
"Far Eastern"	0.092109
"Lake Michigan"	0.088979
"Caspian Sea"	0.0874563
"Arabian Sea"	0.0851553
Mullaitivu	0.0789612
"Dead Sea"	0.0785861
"Lake Erie"	0.0784202
Caspian	0.0776549
"New York Harbor"	0.0769632
"Pacific Ocean"	0.0741956
"Florida Straits"	0.0732387
Caribbean	0.0703303
"South China Sea"	0.067382
Trincomalee	0.0670644
"Barents Sea"	0.0669647
"Gulf of Mexico"	0.0664028
"Pacific Coast"	0.0658765
"Ohio River"	0.0643737
"Chesapeake Bay"	0.0638477
Alaskan	0.0636591
"Congo River"	0.0627478
"Puget Sound"	0.0621309
"Lake Tanganyika"	0.0617228
"Bohai Sea"	0.0606436
Brittany	0.0597673
"Bohai Bay"	0.0595063
"Mississippi River"	0.0592249
"Lake Ontario"	0.0589759
"San Francisco Bay"	0.0585281
"Rio Grande"	0.0584759
"North Sea"	0.0583955
Baja	0.0583133
ocean	0.0582093
"South Atlantic"	0.058122
"Big Sur"	0.0580119
"Cape Fear"	0.0579014
"Atlantic Ocean"	0.0578658
"Arctic Ocean"	0.0578038
"territorial water"	0.0572074
"Jordan River"	0.0570304
"Baja California"	0.0569414
Luzon	0.0554289
Arctic	0.0553528
"Hudson River"	0.0548969
"Taiwan Strait"	0.0540893
Aqaba	0.0532495
Sanya	0.0532424
Danube	0.053006
Rhine	0.0527362
"North Island"	0.0520552
Caucasus	0.0513939
"Delaware River"	0.0513833
"Great Lakes"	0.0513677
"South Pacific"	0.0512368
Normandy	0.0511147
"Far East"	0.0509548
Crimea	0.0506272
"Long Island Sound"	0.0496549
strait	0.0493514
Puglia	0.0482664
"Nile River"	0.0478902
"Lake Victoria"	0.047552
Chittagong	0.0469252
Kyushu	0.0469043
"Missouri River"	0.0465351
lagoon	0.0464127
Cornish	0.0463112
"Lake Tahoe"	0.0459949
Himalayas	0.0458182
Bahamas	0.0456578
Jaffna	0.04561
Zamboanga	0.0454036
"East River"	0.0454002
"Bay of Bengal"	0.0447385
Cabinda	0.0445638
Caprivi	0.0445022
"Suez Canal"	0.0444702
Galilee	0.0443663
"Rio Grande Valley"	0.0440475
Alaska	0.0439226
"Potomac River"	0.0438093
"coastal plain"	0.0437633
Gaza	0.043714
"Central Asia"	0.043581
Seine	0.0435737
Borneo	0.0435139
"New South Wales"	0.0434096
"Gaza Strip"	0.043197
"Colorado River"	0.0430551
"East China"	0.0428046
"Cape Cod"	0.0426615
"West African"	0.042582
"Southern Ocean"	0.042371
Palawan	0.0422304
"Florida Panhandle"	0.0420334
Vavuniya	0.0419656
Limassol	0.0418789
"Gulf Coast"	0.0411118
"Hudson Valley"	0.0408364
Alps	0.0405681
"Ohio Valley"	0.0405656
"Panama Canal"	0.040487
"Western Pacific"	0.0404672
))
("Adriatic Sea" (desc 5464.57) (sims
Adriatic	0.241135
"Persian Gulf"	0.172371
"Mediterranean Sea"	0.164417
Mediterranean	0.153196
Gulf	0.136551
"Sea of Japan"	0.13083
"Red Sea"	0.113608
"Barents Sea"	0.108008
"South China Sea"	0.101234
"New York Harbor"	0.0976762
"Aegean Sea"	0.0949241
"Bay of Bengal"	0.0946464
"Arabian Sea"	0.0924654
Aegean	0.0921114
"North Atlantic"	0.0908826
"Yellow Sea"	0.0883928
pacific	0.0863635
"territorial water"	0.0829862
"San Francisco Bay"	0.0827469
"Pacific Ocean"	0.0823731
Atlantic	0.081035
"Gulf of Mexico"	0.0786281
Seine	0.0782623
"East China Sea"	0.0782328
"Atlantic Ocean"	0.0778885
"Arctic Ocean"	0.0775912
"Black Sea"	0.0702375
Macedonia	0.0698057
strait	0.0682832
"rough water"	0.0674857
"Baltic Sea"	0.0668917
"Taiwan Strait"	0.0656966
Maluku	0.0642328
"Indian Ocean"	0.0639668
"Florida Everglades"	0.061176
"Boston Harbor"	0.0596513
Crimea	0.0573377
"Delaware River"	0.0558651
"Florida Straits"	0.0556472
Brazzaville	0.0554132
"Dead Sea"	0.0553678
"Caribbean Sea"	0.0553151
Caribbean	0.0537861
Durres	0.053106
Dushanbe	0.0531026
Bangui	0.0530644
"North Sea"	0.0522147
"Missouri River"	0.0515469
"Puget Sound"	0.0515343
"Florida Keys"	0.0511627
"Long Island Sound"	0.0503074
"Potomac River"	0.050201
"Sinai Peninsula"	0.0501945
"English Channel"	0.0501737
Montenegro	0.0498158
Danube	0.0487882
"Lake Victoria"	0.0485949
Crete	0.0485807
"South Atlantic"	0.048245
Sinai	0.0482294
Caucasus	0.0478778
"Albanian capital"	0.0477103
"Boston Common"	0.0477056
Baltic	0.0469782
waters	0.0467113
"Lake Michigan"	0.0463129
"four kilometers"	0.0461865
"Bay Bridge"	0.0461387
Luzon	0.0459524
"Jordan River"	0.0453466
"Congo River"	0.0452116
"Lake Tanganyika"	0.044774
DRC	0.0442418
Halifax	0.0439783
"Taiwan Straits"	0.0436718
"Southern Ocean"	0.0436559
"West Timor"	0.0435656
"Balkan state"	0.0435365
MANAMA	0.0435148
"South Pacific"	0.0434747
Abkhazia	0.043311
Bahamas	0.0433035
"Bohai Sea"	0.0431224
Liberia	0.0430845
Urosevac	0.043033
Gulu	0.0429484
Auckland	0.0429457
"Ohio River"	0.0425685
Everglades	0.042377
"air base"	0.0421214
"Mississippi River"	0.0421161
Bosnia-Herzegovina	0.0419873
"Golan Heights"	0.0418026
Belfast	0.0415329
"Bohai Bay"	0.0415152
"Lake Erie"	0.04149
"Hudson River"	0.0413964
Prizren	0.0413274
inlet	0.0411968
"six kilometers"	0.0411441
Jeddah	0.040866
Caspian	0.0407956
"Arctic Circle"	0.0406968
Pristina	0.040584
"Northern Fleet"	0.0405467
Hudson	0.0405266
Iceland	0.0403267
Guatemala	0.0400993
))
("Adrien Brody" (desc 2000.95) (sims
"Joe Mantegna"	0.120985
"Val Kilmer"	0.106571
"John Leguizamo"	0.0981976
"Bebe Neuwirth"	0.081944
"Mira Sorvino"	0.0745506
"Winona Ryder"	0.0743587
"Don Cheadle"	0.0726435
"Juliette Lewis"	0.0653562
"Wesley Snipes"	0.0652255
"Jenna Elfman"	0.0643492
"Ellen DeGeneres"	0.0615456
"Chow Yun-Fat"	0.0601172
"Uma Thurman"	0.0591639
"Bill Graves"	0.0521791
"Steve Zahn"	0.0501844
Abbie	0.0501431
"Billy Crudup"	0.0499954
"John Cusack"	0.0450578
"Woody Harrelson"	0.0449646
"Lili Taylor"	0.0442885
"Patricia Arquette"	0.0426866
"Elizabeth Hurley"	0.0425444
"Nick Nolte"	0.0420565
"Alicia Silverstone"	0.0401031
))
(ADSL (desc 2377.05) (sims
DSL	0.282356
ISDN	0.274702
broadband	0.145802
modem	0.12125
videophone	0.118253
Ethernet	0.106495
"coaxial cable"	0.10099
"phone line"	0.0986737
FireWire	0.0972719
"telephone line"	0.0951627
CDMA	0.0923186
"shock therapy"	0.091005
BLUETOOTH	0.0907839
"data communication"	0.0895537
E-ZPass	0.0893617
"fax machine"	0.0872651
"call waiting"	0.0870233
"Pentium II"	0.086181
"Playstation @"	0.0850687
wireless	0.0847171
telephony	0.0839266
"computer language"	0.0831862
GSM	0.0830447
Athlon	0.0819904
"cable television"	0.0819863
adapter	0.0812911
Win@@	0.0809212
"optical fiber"	0.0802595
networking	0.0791939
"wireless telephone"	0.0786336
"Universal Serial Bus"	0.0782904
"satellite receiver"	0.0777641
"Office @@@@"	0.0774363
analog	0.077435
SDH	0.0770905
mem	0.0759766
"Windows Media Player"	0.0756252
WebTV	0.0754204
"Pentium III"	0.0749273
personalization	0.074594
connectivity	0.0743537
"cellular phone"	0.0738186
router	0.07267
telemedicine	0.0719413
GPS	0.0708834
Internet-based	0.0708685
scanner	0.0705398
sensing	0.0705261
"Agenda @@@@"	0.0700886
WAP	0.0700796
pager	0.0698366
"local area network"	0.0692407
"Microsoft Windows"	0.0691363
"line of products"	0.0689715
Webcam	0.0686637
USB	0.0680678
"cellular telephone"	0.0678326
hookup	0.0669342
bandwidth	0.0667475
intranet	0.0664934
Dreamcast	0.0664774
ATHOME	0.0663017
customization	0.0659876
T@	0.0658436
"telephone directory"	0.0651808
multimedia	0.065174
dram	0.0645077
RAMBUS	0.0642669
"Windows @@@@"	0.063942
analogue	0.0637927
"fuel cell"	0.0636016
"telephone wire"	0.0635836
switchboard	0.063531
"weather forecasting"	0.0628955
SCSI	0.062664
"septic tank"	0.0623473
"time clock"	0.0619747
"radio frequency"	0.061869
Hotmail	0.0615497
"UNIX operating system"	0.0614951
cryptography	0.0614378
"local call"	0.0613302
triangulation	0.0609863
"artificial intelligence"	0.0607322
printer	0.0606013
IP	0.0603167
motherboard	0.0602858
filtering	0.0602817
Powerbook	0.0602194
SkyTel	0.0598488
Celeron	0.0596161
ISP	0.0592251
e-business	0.0591407
"caller ID"	0.0590718
IC	0.058878
"information superhighway"	0.0588717
"fiber optic cable"	0.0587892
microprocessor	0.0581753
copier	0.0581751
"global positioning system"	0.057836
Quicktime	0.0577995
Alpha	0.0576454
"garbage disposal"	0.0575073
"phone service"	0.0572244
"telephone service"	0.0569276
Walkman	0.0568924
"programming language"	0.0568033
"X-ray machine"	0.0567875
"social insurance"	0.05667
"application program"	0.0566549
Roadrunner	0.056506
trolley	0.0564247
intranets	0.0563578
XML	0.0563315
CD-R	0.0562828
"data processing"	0.05614
vasectomy	0.056133
aero	0.0560159
"coal gas"	0.0559721
antenna	0.0553648
"software system"	0.0553092
ExciteAtHome	0.0553009
WordPerfect	0.0552503
C@@	0.0550185
Cyrix	0.0550049
beeper	0.054995
fast-track	0.0549498
microwave	0.054933
DirecTV	0.0549179
Priceline	0.054897
Tram	0.0548242
"computer network"	0.0547686
DSP	0.0546558
"Microsoft Office"	0.0545683
"Windows CE"	0.0544627
"neutron bomb"	0.0542629
iMac	0.0541245
A@XX	0.054067
imaging	0.0538755
Intelsat	0.0537909
Macintosh	0.0534322
"disk drive"	0.0532832
"telecommunication system"	0.0530995
mammography	0.0528898
sewerage	0.052852
"golden parachute"	0.0528025
Eudora	0.0524717
"communications equipment"	0.0524572
"Mac OS"	0.0520994
psychotherapy	0.0520943
automation	0.0519793
emulation	0.0519359
"Outlook Express"	0.0518787
"fiber optics"	0.0518076
"electronic mail"	0.0513241
"shuttle bus"	0.0512816
interface	0.0512581
avionics	0.0511891
Acela	0.0511634
C-Span	0.0510506
"Go Network"	0.0510024
defibrillators	0.0507929
"road runner"	0.0507629
ReplayTV	0.0507358
"telephone network"	0.050713
aftermarket	0.0505642
Filtration	0.0503717
snorkel	0.0502219
Globalstar	0.050177
MP@	0.0500387
supercomputer	0.0500176
IE	0.0499278
B@B	0.0498275
fingerprinting	0.0495861
babysitting	0.0495557
"commuter train"	0.0495036
electrification	0.0493245
hypnosis	0.0491562
connector	0.0491184
"cable car"	0.0490601
Usenet	0.0489975
"Palm VII"	0.0489143
Unix	0.0488903
"computer hardware"	0.0486756
"software package"	0.0486519
DIVX	0.0486228
transponder	0.0486048
"voting system"	0.0484713
"first @@@"	0.0484165
"Windows NT"	0.0484056
Juno	0.0483278
PDA	0.0483128
"data link"	0.0482977
"electronic device"	0.0482338
"desktop computer"	0.0482161
"express train"	0.048148
Thinkpad	0.0481181
"word processor"	0.0479279
robotics	0.0478533
cellphone	0.047794
))
(adulation (desc 6562.24) (sims
adoration	0.138678
accolade	0.137167
acclaim	0.117136
jeer	0.112212
applause	0.103356
ovation	0.0911187
affection	0.0910824
derision	0.0874753
ridicule	0.0872528
notoriety	0.0859612
kudos	0.083367
admiration	0.0829774
scorn	0.0819413
boo	0.0802892
esteem	0.0797958
opprobrium	0.0781014
ire	0.0741423
excitement	0.0720764
enthusiasm	0.0707618
grief	0.0702251
"standing ovation"	0.069972
plaudit	0.0681231
sympathy	0.0656921
hype	0.0645549
outpouring	0.0640593
glory	0.0638615
elation	0.0633838
fame	0.0633456
"positive feedback"	0.0633397
Vilification	0.0631358
scrutiny	0.0629536
"good will"	0.0623193
laughter	0.061927
condemnation	0.0616617
publicity	0.0611579
loyalty	0.0601682
hand-wringing	0.059756
hysteria	0.0588878
companionship	0.058791
outrage	0.0587305
pity	0.0584789
euphoria	0.0578815
sendoff	0.057878
frustration	0.057866
perk	0.0574943
clamor	0.0573651
craziness	0.0573052
self-criticism	0.0571063
hatred	0.0569289
jubilation	0.0566305
loathing	0.0565792
"honorable mention"	0.0563402
catcall	0.0561934
chatter	0.054869
hoopla	0.0543465
renown	0.054341
catharsis	0.0540842
prestige	0.0538587
compassion	0.0537381
bitterness	0.0532073
negativity	0.0529652
warmth	0.0526319
"ill will"	0.0524588
"good fortune"	0.0519971
resentment	0.0514964
skepticism	0.0512885
largesse	0.0512783
nostalgia	0.0512277
happiness	0.0510736
idolatry	0.0510583
animosity	0.0509551
encouragement	0.0508812
aggravation	0.0508811
flak	0.0508605
fascination	0.0508459
acrimony	0.0504357
hospitality	0.0502896
recrimination	0.0500043
revulsion	0.0499663
appreciation	0.0497725
limelight	0.049083
acceptance	0.0487246
acknowledgment	0.0485949
fuss	0.0480671
goodwill	0.0479371
rancor	0.0475805
infamy	0.0474379
commendation	0.047419
murmur	0.0473489
glamour	0.047287
paranoia	0.0471389
"leisure time"	0.0471183
awe	0.0470108
Wrath	0.0468654
togetherness	0.0468132
distrust	0.0468132
gratification	0.0467668
airplay	0.0466273
cachet	0.0465795
patience	0.0465562
Emmy	0.0464044
exhilaration	0.0463215
camaraderie	0.046304
self-pity	0.0460829
fervor	0.045877
enmity	0.0457491
envy	0.0457405
disdain	0.045652
reverence	0.0455902
closeness	0.0455331
veneration	0.0455298
contempt	0.0454629
gratitude	0.0452546
forgiveness	0.0451087
anxiety	0.0450031
receptivity	0.0449663
venom	0.0449428
lust	0.0449102
heartache	0.0448536
compliment	0.0446277
rave	0.0445585
angst	0.0445377
discontent	0.044424
devotion	0.0443781
mirth	0.0442914
apathy	0.0441523
feedback	0.0440609
giddiness	0.0440216
curiosity	0.0440036
sunlight	0.0438301
respectability	0.0436686
mockery	0.0436101
outcry	0.0435849
ardor	0.04351
distaste	0.0434116
Flattery	0.0433323
agony	0.0427362
schoolwork	0.0425693
repulsion	0.0425062
empathy	0.0423143
imperfection	0.041979
greed	0.0419733
"foot traffic"	0.0418604
sadness	0.0417876
animus	0.0416773
meanness	0.0416756
immortality	0.0416688
boosterism	0.0416361
insecurity	0.0416351
vitriol	0.041575
bullishness	0.0414945
hush	0.0414786
soul-searching	0.0413557
disenchantment	0.0412573
indifference	0.0412485
sorrow	0.0411645
finger-pointing	0.0410995
stayaway	0.0410827
"retirement benefit"	0.0410681
hand-me-down	0.041046
comity	0.0409437
humility	0.0409282
oomph	0.0408555
hardship	0.040851
comeuppance	0.040713
patriotism	0.0406942
wariness	0.040615
adversity	0.0405588
"tax advantage"	0.0405143
prejudice	0.040472
monies	0.0404703
alienation	0.0403782
absolution	0.0402922
religiosity	0.0402073
bliss	0.0402005
contentment	0.0400907
theatricality	0.0400857
hunger	0.040079
))
(adult (desc 108417) (sims
child	0.200886
people	0.180147
woman	0.166498
student	0.161932
patient	0.16154
teen-ager	0.157141
parent	0.152591
kid	0.152307
youngster	0.145989
American	0.142303
teens	0.138824
individual	0.13874
teenager	0.136172
person	0.13497
man	0.132869
juvenile	0.131998
male	0.130918
girl	0.128262
resident	0.127135
adolescent	0.125346
youth	0.124865
citizen	0.124808
worker	0.124496
those	0.124261
infant	0.124118
voter	0.123091
"college student"	0.123057
"senior citizen"	0.122476
viewer	0.119064
household	0.118486
teacher	0.117098
inmate	0.115415
senior	0.114818
boy	0.114372
consumer	0.114136
user	0.112819
respondent	0.111946
Reader	0.110486
mother	0.109811
foreigner	0.109502
smoker	0.109461
family	0.10906
athlete	0.108587
customer	0.108303
employee	0.108056
female	0.107908
offender	0.10642
aged	0.105462
folk	0.104899
professional	0.10455
population	0.104217
elderly	0.103059
Hispanic	0.102673
anyone	0.101345
black	0.100325
African-American	0.100242
"young man"	0.100224
"young woman"	0.0998238
prisoner	0.099566
baby	0.099052
someone	0.0988601
immigrant	0.0980873
pupil	0.0980394
criminal	0.0976317
doctor	0.097147
passenger	0.0967456
animal	0.0965967
others	0.095086
traveler	0.0949727
schoolchildren	0.0949558
human	0.0947322
"over @@"	0.0946281
farmer	0.0946079
tourist	0.0945593
everyone	0.0930489
member	0.0926605
taxpayer	0.0923621
recipient	0.0921234
listener	0.0920477
audience	0.0920406
retiree	0.0908257
fan	0.0905249
visitor	0.0903677
couple	0.0900822
shopper	0.08947
newborns	0.0877348
"drug addict"	0.0875235
public	0.0873476
minority	0.0873408
driver	0.087078
"human being"	0.0869665
investor	0.0868429
orphan	0.0866764
player	0.0861515
victim	0.085681
grown-up	0.0852541
"New Yorker"	0.0852466
applicant	0.085203
Californian	0.0849971
buyer	0.0849241
mice	0.0848733
"baby boomer"	0.0839875
journalist	0.0835159
"black man"	0.0833293
"family member"	0.0832326
minor	0.0826706
relative	0.0820094
subscriber	0.0819166
white	0.0818797
civilian	0.081874
dog	0.0817626
preschoolers	0.0817422
toddler	0.0813126
"married couple"	0.0811853
young	0.080693
participant	0.0803214
client	0.0801913
addict	0.0796613
veteran	0.0793085
Filipino	0.0790442
volunteer	0.0788804
grandparent	0.0788697
spouse	0.0784918
soldier	0.0783537
Chinese	0.0783402
employer	0.0782757
villager	0.0779876
physician	0.0778061
refugee	0.0775596
felon	0.0774673
guest	0.0774008
homeowner	0.0773379
many	0.0773052
graduate	0.0766652
guy	0.0763789
father	0.0760525
mom	0.0759822
diabetic	0.0758466
"business traveler"	0.0757076
everybody	0.0755538
Mexican	0.0754972
"black woman"	0.0754262
scientist	0.0753034
friend	0.0752159
Russian	0.0751254
christian	0.0749794
officer	0.0746083
"AIDS patient"	0.0745677
politician	0.0745283
Latino	0.0745147
Jew	0.07387
donor	0.073595
"foster child"	0.0733727
anybody	0.0733246
community	0.0730846
Canadian	0.0727188
sufferer	0.0725044
them	0.072413
laborer	0.0720604
businessmen	0.0719807
"police officer"	0.0718679
beneficiary	0.0716624
freshmen	0.0716117
ones	0.0715358
learner	0.071487
Kenyan	0.0713185
"young girl"	0.0712324
peer	0.0711672
defendant	0.071022
group	0.070985
drinker	0.0707988
moviegoer	0.0707345
sibling	0.0706414
"union member"	0.0703267
artist	0.0702264
"white man"	0.0702251
spectator	0.0701637
Israeli	0.0701339
homeless	0.0699491
generation	0.0698768
African	0.0693863
motorist	0.0689959
migrant	0.0689798
poor	0.0688908
Gay	0.0684637
Catholic	0.0682609
actor	0.0680615
alien	0.0679812
living	0.0678874
musician	0.0677883
stranger	0.067555
Japanese	0.0671795
school	0.0670886
you	0.0670275
Republican	0.0669981
Democrat	0.0664994
Cuban	0.0663343
priest	0.0663058
grader	0.0662098
Australian	0.0661852
))
("adult education" (desc 2418.41) (sims
"vocational training"	0.168561
retraining	0.142267
"vocational education"	0.137343
"physical education"	0.129888
literacy	0.120409
"special education"	0.108406
childcare	0.106572
"family planning"	0.106165
tutoring	0.10433
polytechnic	0.103516
"higher education"	0.102288
"social service"	0.0986932
"education program"	0.0918346
"secondary education"	0.0905218
daycare	0.0900893
"social insurance"	0.090067
yoga	0.0885185
"liberal arts"	0.0875812
"computer technology"	0.0875124
aerobics	0.0855023
"college level"	0.0840383
"child care"	0.0839044
outreach	0.0837272
internship	0.0832093
"earth science"	0.0830921
popularization	0.0816946
"head start"	0.0807555
"social welfare"	0.0805243
entrepreneurship	0.0800273
"computer programming"	0.0800054
"social assistance"	0.0797442
socialization	0.0793684
afforestation	0.0792397
counseling	0.0790904
nutrition	0.0783193
"environmental science"	0.0778161
"fine arts"	0.0775704
"day care"	0.0750137
"extracurricular activity"	0.0748106
"military training"	0.0747414
"population control"	0.0745649
"medical science"	0.0732039
"Weight Watchers"	0.0729928
nursing	0.0726239
"health service"	0.0725773
civics	0.0722119
standardization	0.0719216
"educational program"	0.0719209
"high technology"	0.0717231
"social activity"	0.0717204
schooling	0.0710068
crime-fighting	0.0709428
"animal husbandry"	0.0706669
"strategic planning"	0.0704264
"computer science"	0.0699111
TCM	0.0693045
"product development"	0.0690561
alleviation	0.0689395
"mass transit"	0.0684842
aquatics	0.0682274
"conflict resolution"	0.0678824
C-@@@J	0.0676917
evangelism	0.0676237
homeownership	0.0672229
"martial art"	0.0666818
"Peace Corps"	0.0656195
Americorps	0.0655561
indoctrination	0.0653684
Wellness	0.0652981
reemployment	0.0644215
healthcare	0.0643347
"elementary education"	0.0643137
interdiction	0.0642844
immunization	0.0640537
"community college"	0.0640093
mathematics	0.0632971
weaponization	0.063272
horticulture	0.0631615
recruitment	0.0629411
"civil defense"	0.0618982
archaeology	0.061544
agronomy	0.0614178
dissemination	0.0605871
"comparative literature"	0.0601328
sixth-grade	0.059913
"data processing"	0.0598838
curricula	0.0597126
"human factor"	0.0595703
bioengineering	0.0593104
remediation	0.0592243
enrichment	0.0592199
"Housing and Urban Development"	0.0591724
forestry	0.059134
"first aid"	0.059094
"business development"	0.0589285
"land reform"	0.0588517
"ballroom dancing"	0.0585638
detoxification	0.0584575
Pe	0.0583412
publishing	0.058094
Putonghua	0.0579455
sensitization	0.0576065
kindergarten	0.0573198
empowerment	0.0569209
"word processing"	0.0568933
"mental health"	0.0568463
preschool	0.056825
conservancy	0.0564897
"public speaking"	0.0564371
"educational activity"	0.0562454
Botany	0.0561913
"deficit reduction"	0.0560046
"graduate school"	0.0559876
"preventive medicine"	0.0558331
recycling	0.0551582
"technical school"	0.0551382
apprenticeship	0.0547369
"Alcoholics Anonymous"	0.0547155
second-grade	0.054562
telemedicine	0.0545208
eight-week	0.0542568
"computer language"	0.0541734
"recreational facility"	0.0539239
immersion	0.0537983
"vocational school"	0.0536543
oil-for-food	0.0535677
sanitation	0.0534882
propagation	0.0534059
"life science"	0.0531529
"Office @@"	0.05315
recreation	0.0529974
consultancy	0.0529942
"data entry"	0.052906
"bird of prey"	0.0526813
counterterrorism	0.0524842
demobilization	0.0524714
multimedia	0.0523169
"R&AMP;D"	0.0523094
abstinence	0.0521065
"physical therapy"	0.0520409
mountaineering	0.0517765
algebra	0.0516759
rectification	0.0515282
"shock therapy"	0.0513551
"equal opportunity"	0.0513041
"quality control"	0.0509202
"futures trading"	0.050755
preparedness	0.05072
"disability insurance"	0.0507025
biotechnology	0.0505881
"consumer credit"	0.0505878
"general knowledge"	0.0505794
NMD	0.0505747
"public security"	0.0505203
eighth-grade	0.0505102
geology	0.0503924
philanthropy	0.0503533
"chemical warfare"	0.0502493
eradication	0.0502472
arming	0.0502206
chiropractic	0.0497718
epidemiology	0.0497247
"public works"	0.0496852
"Occupational Safety and Health Administration"	0.049359
enhancement	0.0492219
"German language"	0.0492168
procurement	0.0492014
"information service"	0.0490253
pacification	0.0489712
third-grade	0.0489557
"social work"	0.048898
"flood control"	0.0488592
gardening	0.0487938
"price support"	0.0486758
"nursing care"	0.0486389
fatherhood	0.048418
astronomy	0.0478241
ecotourism	0.0476073
"natural science"	0.0475702
geriatrics	0.0474254
state-level	0.0473163
networking	0.0472197
"social science"	0.0471257
archeology	0.0470636
computing	0.0468982
self-discipline	0.0468786
"artificial intelligence"	0.0468553
fumigation	0.0468495
reforestation	0.0467683
"urban planning"	0.046641
"information system"	0.0466236
"building material"	0.0465796
"stock buyback"	0.0460665
autism	0.0460568
TMD	0.0459476
self-improvement	0.0457377
"two year"	0.0456861
theology	0.0455089
"biological science"	0.045457
e-business	0.0452684
))
("adult male" (desc 2152.05) (sims
"black person"	0.0757978
"right whale"	0.0700261
probationer	0.0693184
enlistee	0.0632417
Quebecers	0.0611694
orangutan	0.0603364
over-@@	0.0599898
catnip	0.0597015
Bighorn	0.0572476
"African elephant"	0.0571164
Sephardic	0.0565971
"New Jerseyans"	0.0562953
Macaque	0.0562208
panda	0.0556929
examinees	0.0553919
"six million"	0.0546447
"voting age"	0.0538284
Londoner	0.0537856
centenarian	0.0532295
"sea cucumber"	0.0524474
"about @.@ million"	0.0523124
"gray whale"	0.0516881
Nepalese	0.0516424
policewoman	0.05133
"mountain gorilla"	0.0512704
serviceman	0.0504058
"black bear"	0.0501182
porpoise	0.0501022
elk	0.0497896
hemophiliac	0.0496034
"sea otter"	0.0494659
cormorant	0.0490994
sturgeon	0.0490757
non-Hispanic	0.0486219
humpback	0.048394
"blue whale"	0.048279
fawn	0.0481714
"Kosovo Serbs"	0.0481575
hardcore	0.0480835
non-Jewish	0.047952
"Homo erectus"	0.0477749
Ukrainians	0.0475678
"New Zealander"	0.0472866
"married woman"	0.046978
undergraduate	0.0467597
Ecuadoreans	0.0467482
"young person"	0.0466852
"sea lion"	0.0465243
Asian-American	0.0459225
"South Carolinian"	0.0457579
Beijingers	0.0456404
keystroke	0.0449294
"humpback whale"	0.0449119
flamethrower	0.0447642
"African American"	0.0446135
"white person"	0.044544
leaver	0.044416
AK-@@	0.044249
interviewee	0.0442317
"oil slick"	0.0437931
crewman	0.0437787
swordfish	0.0435782
"gross income"	0.0433164
Frenchmen	0.0432884
"more than @@@ million"	0.0430568
"Israeli Arab"	0.0428704
wage-earner	0.0426101
"nearly @ million"	0.0426039
airball	0.0425928
ox	0.0425361
chimpanzee	0.0424723
pygmy	0.0422718
"beer drinker"	0.0422397
"less than @@,@@@"	0.0422354
"Kosovar Albanian"	0.0421639
inpatient	0.0419396
knucklehead	0.0417666
theatergoer	0.0417081
Gielgud	0.0416568
manatee	0.0416386
striper	0.0414654
Arab-American	0.0414571
Arkan	0.0414013
armadillo	0.0413149
"working man"	0.0411862
Minnesotan	0.0411285
"almost @@ million"	0.0408297
"more than one million"	0.0407791
"piece of music"	0.0407354
"Bosnian Muslim"	0.0407349
Condor	0.0406609
Ohioan	0.0405077
snowboarder	0.0404996
Oriole	0.0403623
"break of serve"	0.040192
"wild horse"	0.0400055
))
(adulteration (desc 1058.53) (sims
"insider trading"	0.116092
"more than @ million tons"	0.110649
backsliding	0.0933557
overheating	0.0867459
cryptosporidium	0.0819885
overexposure	0.0790047
"rising prices"	0.0785316
shipload	0.0771527
hoarding	0.076738
decomposition	0.0745265
overconfidence	0.0744921
coercion	0.0735636
frostbite	0.0735619
"engine failure"	0.0733181
atherosclerosis	0.0726156
"million tons"	0.0725422
spillage	0.0723232
"foul play"	0.0723093
tampering	0.0720734
isolationism	0.0718915
"more than @@@,@@@ tons"	0.0716123
melting	0.0715862
bullishness	0.0713854
corrosion	0.071183
shrewdness	0.0709622
foul-up	0.0706361
recidivism	0.0706052
clotting	0.0689309
"accounting problem"	0.0682082
Ingestion	0.0680373
condensation	0.0679053
labeling	0.0677785
importing	0.0676599
mildew	0.066034
dehydration	0.0657656
"human activity"	0.0644581
rollovers	0.0641631
deforestation	0.0640127
"about @.@ million tons"	0.0639907
stalling	0.063893
"about @@@,@@@ tons"	0.0638249
brinksmanship	0.0626539
Flattery	0.0624096
disparagement	0.062314
seepage	0.0622657
aggravation	0.061842
"more than @@,@@@ tons"	0.0618181
rationing	0.0618048
"two boxes"	0.0614227
"price reduction"	0.0611374
"heat exhaustion"	0.0607317
Burnout	0.0597458
leakage	0.0591706
favoritism	0.0591553
contagion	0.0591024
price-fixing	0.0586764
"six tons"	0.0580866
"about @@ million tons"	0.0579867
rowdiness	0.0576184
clot	0.0572617
duplication	0.0571713
infestation	0.0570592
"five kilograms"	0.0569505
malnutrition	0.0567795
overuse	0.0566928
"five million tons"	0.0565736
overproduction	0.0563505
disunity	0.0561617
"price cutting"	0.0559444
listeria	0.0556353
thyroid	0.0555945
"acid rain"	0.0555393
"over @@@,@@@ tons"	0.0551083
"contagious disease"	0.0550333
"more than @,@@@ tons"	0.054703
break-in	0.0543232
gangrene	0.0542869
vote-buying	0.0540832
"four million tons"	0.0536874
subsidence	0.0535651
"water pollution"	0.0535103
hooliganism	0.0534658
"over @,@@@ tons"	0.0531414
"price cut"	0.0526015
malfeasance	0.0520835
horse-trading	0.0520359
callousness	0.0519591
disinformation	0.0518354
apnea	0.051067
strangulation	0.0509503
restlessness	0.0509433
"three tons"	0.050787
slippage	0.0501686
"lead poisoning"	0.0500922
disaffection	0.0500749
build-up	0.0500417
misappropriation	0.0497742
"dog bite"	0.0495043
Indiscipline	0.0493374
conflagration	0.0491493
"three million tons"	0.0491051
"social contract"	0.049001
"two million tons"	0.0489769
"brain drain"	0.0487936
"wear and tear"	0.0487067
radioactivity	0.0486882
foot-dragging	0.0486276
zillion	0.0485115
"plant disease"	0.0484642
depletion	0.0482646
electrocution	0.0478269
"bank failure"	0.0476268
"juvenile delinquency"	0.0473947
marginalization	0.0473632
"more than @.@ percent"	0.0469793
Radon	0.046952
disenchantment	0.0468575
overkill	0.0468005
influence-peddling	0.0467688
sedation	0.0466408
Poplasen	0.0464541
gift-giving	0.0464165
foreclosure	0.0463198
"tooth decay"	0.0462809
"price war"	0.0459464
mendacity	0.0454637
agitation	0.0453786
mutilation	0.0453169
hyperinflation	0.0451908
"price pressure"	0.0449787
giardia	0.0449384
inaccuracy	0.0448992
"more than @@ tons"	0.044849
habitation	0.0448196
"five tons"	0.0448113
"one million tons"	0.0447503
deafness	0.0447239
"arms deal"	0.0446078
"heart failure"	0.0444884
"about @,@@@ tons"	0.0443253
"food poisoning"	0.0442332
lobbying	0.044191
STDs	0.0439977
IDD	0.0439694
influenza	0.043905
pedophilia	0.043802
"soil erosion"	0.0436844
sluggishness	0.043556
"Lyme disease"	0.0435055
"more than @,@@@ hectares"	0.0432935
"securities fraud"	0.0428687
poaching	0.0428011
destabilization	0.0427509
"hepatitis B"	0.0426476
sickout	0.042617
"alcohol abuse"	0.0425211
canker	0.0424707
non-cooperation	0.0423177
wasting	0.0423101
shoplifter	0.0423056
"drug addiction"	0.0422557
aggregation	0.0422172
"two sacks"	0.0422168
"more than @@@ tons"	0.0419804
"free radical"	0.041965
circumcision	0.0417017
"solar radiation"	0.0416687
dereliction	0.0415973
Rains	0.0415906
self-censorship	0.0415068
melanoma	0.0414389
"slush fund"	0.0413251
Psychosis	0.0412682
laxity	0.0412326
fallibility	0.0410901
sloppiness	0.0409177
wastage	0.0408596
rip-off	0.0407279
heatwave	0.0406061
"ocean current"	0.0405784
belt-tightening	0.0404535
ephedrine	0.040399
thievery	0.0403524
ENBREL	0.0402318
fissure	0.0402269
"kidney stone"	0.0401749
unpopularity	0.0401253
eavesdropper	0.0400598
"short circuit"	0.0400367
Propulsid	0.0400174
))
(adulterer (desc 3372.11) (sims
Philanderer	0.2005
acquirer	0.0985914
liar	0.0980389
wrongdoer	0.0911858
Rapist	0.0893525
"child molester"	0.0883112
womanizer	0.0865903
perjurer	0.0859256
"drug user"	0.0832462
crook	0.079851
phony	0.0787669
cheater	0.0783715
manipulator	0.0772324
schemer	0.0770326
bigot	0.0756623
abortionist	0.0737878
abuser	0.0737174
denier	0.0699119
murderer	0.0695021
incompetent	0.0685262
coward	0.0683151
alcoholic	0.0668685
"drug dealer"	0.0650252
"drug addict"	0.0637085
arsonist	0.0608259
homosexual	0.0607324
hypocrite	0.0594413
violator	0.059314
opportunist	0.0585863
pickpocket	0.0582792
Pusher	0.0575204
thief	0.0569192
charlatan	0.0562115
shoplifter	0.0556181
raconteur	0.0554478
Englishwoman	0.0553909
sinner	0.0551412
trespasser	0.054597
"heroin addict"	0.0545172
looter	0.0541726
felon	0.0531233
swindler	0.0530474
lawbreaker	0.0528966
breadwinner	0.0528508
"important person"	0.0521844
"Eric Rudolph"	0.0520467
lunatic	0.0517044
"Di Canio"	0.0514165
"Jehovah's Witnesses"	0.0505592
"exotic dancer"	0.0505457
burglar	0.0503433
instigator	0.0492606
troublemaker	0.0492112
well-respected	0.0491583
robber	0.0488047
impostor	0.0484819
junkie	0.048389
tacklers	0.0479305
malcontent	0.0477925
doer	0.0474048
junky	0.0473526
taskmaster	0.0466818
stalker	0.0466319
Agca	0.0466073
assassin	0.0461343
eavesdropper	0.0460907
gambler	0.0459031
despotism	0.0456056
aggressor	0.0454941
enlistee	0.0451202
perpetrator	0.0449878
trickster	0.0449201
idealist	0.0442272
mafioso	0.0441936
Snitch	0.0440694
anti-Semite	0.0438314
"substance abuser"	0.0437674
kindergartners	0.0437083
HITMAN	0.043403
soulmate	0.0432111
"married man"	0.0431972
"prima donna"	0.0431196
plus-@	0.0429424
extortionist	0.0429064
pedophiles	0.0425304
"certified public accountant"	0.042469
"house guest"	0.0424423
Stealers	0.0424366
paraplegic	0.0422103
tyrant	0.0422089
ideologue	0.0421651
overachiever	0.042059
"second person"	0.0419056
"brain stem"	0.0418533
dieters	0.0417153
pimp	0.0415449
infidel	0.0415443
autocrat	0.0415201
"black person"	0.0415023
"draft dodger"	0.0414659
panhandler	0.0414581
hipsters	0.0413943
"white person"	0.041373
idiot	0.0412067
whore	0.0411851
joker	0.0410663
puncher	0.0410132
))
(adultery (desc 16487.5) (sims
infidelity	0.169674
sodomy	0.167863
perjury	0.153454
"child abuse"	0.139536
rape	0.137658
misconduct	0.1284
"lying under oath"	0.122646
sex	0.11952
bribery	0.119032
homosexuality	0.118316
treason	0.118219
incest	0.116821
"insider trading"	0.115868
infanticide	0.114719
"sexual assault"	0.114636
molestation	0.11181
indiscretion	0.109466
obstruction	0.108512
tampering	0.108047
"drug use"	0.106531
abuse	0.10636
"sexual harassment"	0.106277
"securities fraud"	0.105423
embezzlement	0.100284
extortion	0.0989334
wrongdoing	0.0983236
prostitution	0.0961337
blasphemy	0.0959063
theft	0.0957384
"sexual activity"	0.0947598
misbehavior	0.0947087
"money laundering"	0.0946897
pedophilia	0.0946554
larceny	0.094152
murder	0.0941085
corruption	0.0939993
suicide	0.0939511
fraud	0.0932214
plagiarism	0.0924116
sedition	0.0914893
dishonesty	0.0904333
impropriety	0.090269
"tax evasion"	0.0896878
"high treason"	0.0891776
promiscuity	0.0885352
torture	0.0866741
"drug abuse"	0.0859843
crime	0.0859116
"mail fraud"	0.0855346
racketeering	0.0854953
pornography	0.0854451
betrayal	0.084864
dalliance	0.0842692
forgery	0.0839364
brutality	0.0839046
espionage	0.0837227
mistreatment	0.0835971
"oral sex"	0.0827419
homicide	0.0826056
"election fraud"	0.0820374
deceit	0.082023
transgression	0.0815934
"contempt of court"	0.0812188
manslaughter	0.0809651
behavior	0.0807525
conspiracy	0.080369
kidnapping	0.0803637
"disorderly conduct"	0.0798615
arson	0.0796988
negligence	0.0795944
deception	0.0794921
"war crime"	0.0787445
graft	0.0783378
coverup	0.0780917
misdeed	0.0776032
euthanasia	0.0772105
"sexual intercourse"	0.0771387
harassment	0.0763299
discrimination	0.0763194
burglary	0.0763048
violation	0.0762636
violence	0.0755264
blackmail	0.0748802
incompetence	0.0741057
felony	0.0740394
drinking	0.0739746
cruelty	0.0738499
genocide	0.0737511
robbery	0.0736068
"sex act"	0.0733786
lying	0.0732408
"drug trafficking"	0.0729809
greed	0.0729768
polygamy	0.0729002
abduction	0.0720989
sin	0.0720082
nepotism	0.0709443
atrocity	0.0708675
abortion	0.0708586
spying	0.0704532
assault	0.0703883
subversion	0.0703825
desecration	0.0701622
malpractice	0.070054
"drug addiction"	0.0699853
gunrunning	0.0699267
"armed robbery"	0.0699209
treachery	0.0697981
trafficking	0.0697919
piracy	0.0694169
price-fixing	0.0693891
gambling	0.0690368
maltreatment	0.0689796
hijacking	0.0689562
cover-up	0.0683269
mismanagement	0.0681159
racism	0.0674927
sexuality	0.0672246
intimidation	0.0669727
vandalism	0.0666389
neglect	0.0666289
"assault and battery"	0.0665663
cannibalism	0.0665174
"birth control"	0.0661365
malfeasance	0.0651398
Addiction	0.0651171
collusion	0.0649935
smuggling	0.0648153
tryst	0.0646357
cohabitation	0.0646257
driving	0.0646097
bribe-taking	0.0645877
nudity	0.0644927
slavery	0.0643143
indecency	0.0641851
"breach of trust"	0.0640271
criminality	0.0639186
"alcohol abuse"	0.0638551
shoplifting	0.0638158
divorce	0.0635698
abandonment	0.0635579
terrorism	0.0631986
killing	0.0631948
misuse	0.0630466
cowardice	0.0624332
complicity	0.0622426
manipulation	0.0620053
sabotage	0.0618631
dereliction	0.0615916
illegality	0.0612191
hypocrisy	0.0610108
misappropriation	0.0604024
stalking	0.0603326
irregularity	0.0601871
incitement	0.0598082
seduction	0.0597013
evasion	0.0591864
lust	0.0584531
misdemeanor	0.0583454
"substance abuse"	0.0581401
pregnancy	0.0579517
smoking	0.0577864
"foul play"	0.0574169
defamation	0.0573345
endangerment	0.0570774
"mass murder"	0.0569312
mutilation	0.056711
marriage	0.0564931
influence-peddling	0.0563085
infraction	0.0559493
bigotry	0.055861
"false statement"	0.055745
hooliganism	0.0555493
slaying	0.0555317
beating	0.0554302
contempt	0.0554181
liaison	0.0549834
slander	0.0549353
infringement	0.0549101
"mental illness"	0.0548985
breach	0.0548898
involvement	0.0548743
lapse	0.0547175
offence	0.0546828
intrigue	0.0546478
bias	0.0545188
Alcoholism	0.0544543
misrepresentation	0.0542374
injustice	0.0539218
"drug problem"	0.0538954
"grand larceny"	0.0536243
Contraception	0.0535859
anti-Semitism	0.0533856
persecution	0.0532889
dumping	0.0532253
libel	0.0531655
intercourse	0.0530313
possession	0.0527138
Concealment	0.0524426
exploitation	0.052108
))
(adulthood (desc 10055.1) (sims
manhood	0.159269
womanhood	0.115488
adolescence	0.108563
"old age"	0.0938153
"middle age"	0.0915491
stardom	0.0655644
puberty	0.0621364
parenthood	0.0612715
millennium	0.0585875
immortality	0.0565853
maturity	0.0550316
millenium	0.0538861
"early childhood"	0.0516252
greatness	0.0481575
"big league"	0.0477565
"majority rule"	0.0476649
"professional life"	0.0476415
menopause	0.0476214
"third millennium"	0.0454832
"nervous breakdown"	0.0449699
NCAAs	0.0420504
afterlife	0.0415153
abyss	0.0409589
))
(ADV (desc 7026.37) (sims
Neb	0.221296
AP	0.117719
Ohio	0.108107
xxx	0.10392
kitchenware	0.0668304
hr	0.0628351
p.r	0.0579925
CALIF	0.0576223
"N.Y. Times Week"	0.0527737
parf-dgs	0.0450078
"June @@-@@"	0.0422117
))
(advance (desc 142110) (sims
gain	0.146092
decline	0.12833
rise	0.12119
surge	0.113436
increase	0.109031
progress	0.107445
drop	0.102558
growth	0.0998101
improvement	0.0970541
change	0.0954036
breakthrough	0.0915169
advancement	0.0901077
Rally	0.0898559
jump	0.0880396
trend	0.0880269
success	0.0866854
innovation	0.0864404
recovery	0.0863454
expansion	0.0860906
plunge	0.0858205
achievement	0.0858006
result	0.084054
development	0.0829686
boom	0.0800196
return	0.0794278
move	0.0788154
selloff	0.0780421
loss	0.0775029
slide	0.0771682
effort	0.0754531
upturn	0.0751623
pace	0.0747112
strength	0.0741757
anticipation	0.0739935
decrease	0.0736053
weakness	0.0726336
victory	0.0722713
slowdown	0.0720888
performance	0.071702
investment	0.071344
reduction	0.0707665
reform	0.0706651
rebound	0.0706329
downturn	0.0705627
sell-off	0.0701817
volatility	0.0700133
impact	0.0692682
interest	0.0691193
support	0.0686488
profit	0.0685346
demand	0.0683312
deal	0.0680539
slump	0.0676259
shift	0.0674259
step	0.0673229
leap	0.0672171
bid	0.0671834
revolution	0.0667086
"rapid growth"	0.0666247
price	0.066612
technology	0.0665107
announcement	0.0663704
turnaround	0.0663519
showing	0.0662562
effect	0.0660974
sale	0.065999
consolidation	0.0659356
contribution	0.0655314
March	0.0652223
momentum	0.0651572
exchange	0.0651138
inflation	0.0648685
cut	0.0648045
Gainer	0.0646157
cooperation	0.064292
response	0.0642628
process	0.0640896
falls	0.0639497
trading	0.0637624
economy	0.0636295
order	0.0634877
attack	0.0632991
event	0.0631266
market	0.0627925
level	0.0627875
rate	0.0627065
record	0.0625556
research	0.062532
acquisition	0.0624434
action	0.0624105
cost	0.0623309
report	0.0620283
competition	0.0619969
strike	0.0619715
hope	0.0619619
Correction	0.0616931
boost	0.0616805
run-up	0.0616531
flow	0.0616371
postponement	0.0615978
outcome	0.0613565
number	0.0612928
hike	0.0612238
strategy	0.0611669
fight	0.0610298
depreciation	0.0610202
activity	0.0609
"price increase"	0.0608363
movement	0.060823
challenge	0.0607297
expectation	0.0607081
news	0.0605364
issue	0.0604209
attempt	0.0603529
cash	0.0602653
discovery	0.0601789
advantage	0.060163
delay	0.0601183
round	0.0600574
preparation	0.0600016
milestone	0.059895
setback	0.059862
offensive	0.0597779
approach	0.0596749
future	0.059466
benefit	0.0593956
"growth rate"	0.0593023
experiment	0.0591684
search	0.0591484
collapse	0.0591305
practice	0.0591042
payment	0.0590655
coverage	0.0590222
introduction	0.059005
program	0.0589184
talk	0.0588174
spread	0.05876
failure	0.0585721
saving	0.0585111
earnings	0.0584182
case	0.0583921
factor	0.0583291
purchase	0.058299
devaluation	0.0582683
defeat	0.0581639
figure	0.058145
campaign	0.058075
policy	0.0580514
assault	0.057938
accomplishment	0.0579114
opening	0.0577802
study	0.0576662
takeover	0.0575794
decision	0.0574632
adjustment	0.0571735
triumph	0.057155
bonus	0.0571038
spending	0.0570156
detail	0.0569408
wake	0.0568937
day	0.0568401
fact	0.0567951
deregulation	0.0567307
trade	0.05673
plan	0.0567161
experience	0.0566976
buying	0.0566256
application	0.0565973
pressure	0.0565503
agreement	0.0565457
finding	0.0565406
wage	0.0565285
share	0.0565095
transformation	0.0564707
intervention	0.0564319
comeback	0.0563697
Liberalization	0.0563597
prospect	0.0563528
problem	0.0563467
test	0.0563438
influx	0.0563266
transaction	0.0562989
wave	0.0562401
value	0.0562222
cancellation	0.0561763
merger	0.0561466
deterioration	0.0560975
training	0.0560576
series	0.0556851
stride	0.055572
eve	0.0555647
situation	0.0555522
forecast	0.0554166
role	0.0552326
statement	0.055198
contraction	0.0551942
absence	0.0551938
vote	0.0551935
initiative	0.0551903
reaction	0.0551768
))
("Advanced Micro" (desc 1146.89) (sims
AMD	0.233749
NORTHROP	0.19473
"Pacific Century"	0.161932
XYLAN	0.161825
"Thermo Electron"	0.156806
"Advanced Micro Devices"	0.156343
VENATOR	0.1562
"Boston Scientific"	0.154541
TELLABS	0.146323
Broadcom	0.145839
Vitesse	0.145404
Starwood	0.142816
Glaxo	0.142055
Emulex	0.138693
Seagate	0.138171
RJR	0.135957
Ciena	0.134399
Cabletron	0.131619
Micron	0.130811
"Stride Rite"	0.130346
Biogen	0.130123
WPP	0.129407
Transmeta	0.12868
Tenneco	0.126405
MiniMed	0.125707
Cathay	0.124783
"HBO &AMP; Co."	0.12435
UAL	0.123886
ALZA	0.123485
PEOPLESOFT	0.123327
Tandy	0.122545
Litton	0.121129
Compaq	0.120768
Wachovia	0.118577
SmithKline	0.118271
S@	0.118248
Sunbeam	0.117846
adobe	0.117831
Agilent	0.117684
COLTEC	0.117645
McKesson	0.116159
Petrofina	0.116134
Ti	0.116053
"P&AMP;G"	0.115867
NatWest	0.115499
CCE	0.115182
SGI	0.114841
Nabisco	0.114495
Terra	0.113419
Zapata	0.112789
"Bank of Scotland"	0.112726
Kellogg	0.112688
Weyerhaeuser	0.112295
"Intel Corp."	0.111773
Cadbury	0.111547
PLDT	0.111343
"JDS Uniphase"	0.111328
Pairgain	0.110822
AHP	0.11071
PictureTel	0.109423
Gymboree	0.109238
"Network Associates"	0.108846
TYCO	0.108564
Hewlett	0.108522
Corel	0.108377
RWE	0.108277
SkyTel	0.10783
chipmaker	0.107535
Penney	0.107381
"Times Co."	0.107135
"Dayton Hudson"	0.106956
Pitney	0.106929
Inktomi	0.106515
"U.S. Trust"	0.106424
"Adobe Systems"	0.10605
Equifax	0.105381
Clorox	0.105063
Warner-Lambert	0.104778
ICI	0.104451
"First Union"	0.104381
Sepracor	0.103712
Honeywell	0.103698
Nortel	0.103409
Scientific-Atlanta	0.103022
Autodesk	0.102845
Healtheon/WebMD	0.102818
Mattel	0.102394
"J&AMP;J"	0.101851
Nextel	0.10148
"Gap Inc."	0.101249
Healtheon	0.101097
RAMBUS	0.100706
"Bank of Israel"	0.099784
Iomega	0.0997714
Gilead	0.0997689
"Rite Aid"	0.0996664
"Ocean Spray"	0.0995924
GANNETT	0.0994117
Qualcomm	0.0989017
"Sharper Image"	0.0988816
BCE	0.0983066
Daimler	0.0982654
TKT	0.0980377
Cendant	0.0979103
E-LOAN	0.0977215
Genzyme	0.0975904
Immunex	0.0975269
Norwest	0.0975035
"Union Carbide"	0.0970772
"Times Mirror"	0.0965928
Gillette	0.0964072
REVLON	0.0963342
Corning	0.0962216
Unisys	0.0960935
"Sara Lee"	0.095583
Konka	0.0955428
Genentech	0.0955103
Amgen	0.0954657
Stratus	0.0952103
GEC	0.0946124
Chiron	0.0941824
Maytag	0.0941041
LVMH	0.0939975
"Ford Motor"	0.0937401
"Hongkong Telecom"	0.0934515
AOC	0.093378
Broderbund	0.09337
"Eastman Kodak"	0.0933576
Aetna	0.0932063
Eurotunnel	0.0931613
Raytheon	0.0930484
AutoNation	0.0928173
BankAmerica	0.0926177
Asda	0.0924666
"United Technologies"	0.0923325
Harcourt	0.092247
Livent	0.0921333
HBOC	0.0918593
Bestfoods	0.0917109
HP	0.0915561
CMGI	0.0914811
MACROMEDIA	0.0914261
Motorola	0.0911713
Globalstar	0.0910371
Alcoa	0.0909508
Seagram	0.090436
WELLPOINT	0.0903971
Priceline	0.0903183
Webvan	0.0903179
Informix	0.0900818
EMC	0.0900001
Daiwa	0.089979
"Dow Jones &AMP; Co."	0.0894623
"Eastman Kodak Co."	0.0894488
Ba	0.0894301
"Waste Management"	0.0891728
Polaroid	0.0886194
"Learning Co."	0.0883115
"Dell Computer"	0.0883026
"American Home"	0.0882106
"Computer Associates"	0.0880869
Novell	0.0879165
Merrill	0.0878581
"Y&AMP;R"	0.0875376
"True North"	0.0871276
Aegon	0.0868321
ENTREMED	0.0867376
ExciteAtHome	0.0866645
ZIFF-DAVIS	0.0863098
"Network Solutions"	0.0858527
Medtronic	0.0857302
"Global Crossing"	0.0857259
"J.C. Penney"	0.085507
Nikko	0.0855037
"International Paper"	0.0855022
Checkfree	0.0854563
MindSpring	0.0853659
Echostar	0.0851611
Delphi	0.0849904
Alcan	0.0849723
UBS	0.0849407
Akamai	0.0848333
CUC	0.0843903
AMP	0.0843732
"Johnson &AMP; Johnson"	0.0839809
TDB	0.0838692
"Mattel Inc."	0.0838357
Pepsico	0.083778
"Dell Computer Corp."	0.0837034
"Texas Instruments"	0.0836402
CompUSA	0.0836055
"HSBC Holdings"	0.0834858
NTL	0.0833899
emachines	0.0833749
Lockheed	0.0833442
Barclays	0.0833431
Goodyear	0.0829429
UTC	0.0824108
Alltel	0.0822495
NetZero	0.0819183
))
("Advanced Micro Devices" (desc 3568.71) (sims
"Advanced Micro Devices Inc."	0.319121
"Applied Materials"	0.285831
"Micron Technology"	0.269158
AMD	0.259166
"Texas Instruments"	0.216352
"Intel Corp."	0.181326
"Compaq Computer"	0.163972
Intel	0.159024
"Advanced Micro"	0.156343
"Lucent Technologies"	0.149172
"Cisco Systems Inc."	0.143647
"Cisco Systems"	0.137056
"Netscape Communications Corp."	0.132973
"Lucent Technologies Inc."	0.131629
Unisys	0.123674
"Hewlett-Packard Co."	0.123166
"Sun Microsystems"	0.123082
"Netscape Communications"	0.122445
Qualcomm	0.121933
"National Semiconductor"	0.12184
Hewlett-Packard	0.120545
"Dell Computer"	0.118093
"International Business Machines Corp."	0.114628
"Apple Computer"	0.11366
Lucent	0.111144
"Hewlett Packard"	0.110767
"JDS Uniphase"	0.110031
IBM	0.109769
"Dell Computer Corp."	0.109576
"Sun Microsystems Inc."	0.10867
"Nortel Networks"	0.108532
Ericsson	0.107884
Nokia	0.107495
Motorola	0.105856
Broadcom	0.104862
"Motorola Inc."	0.104596
Intuit	0.103937
Cisco	0.10372
"EMC Corp."	0.103639
Alcatel	0.102703
"Oracle Corp."	0.101628
Compaq	0.101483
Transmeta	0.101084
"Airbus Industrie"	0.0982083
"Compaq Computer Corp."	0.0952965
"Nortel Networks Corp."	0.0947889
Seagate	0.094446
oracle	0.0933568
"Silicon Graphics"	0.0920955
"IBM Corp."	0.0918904
"Apple Computer Inc."	0.0917626
"Exxon Mobil"	0.0916015
Alcoa	0.0908106
"Eastman Kodak"	0.0897376
"Adobe Systems"	0.0887186
Dell	0.0885235
"General Electric"	0.0875144
EMC	0.0869963
"Lockheed Martin Corp."	0.0865425
"NEC Corp."	0.0852939
Nortel	0.0838773
Toshiba	0.0833009
Informix	0.0826008
"Bristol-Myers Squibb"	0.0817128
"Digital Equipment"	0.0814761
Symantec	0.081392
NEC	0.0799949
"Allied Signal"	0.0796441
Novell	0.0786668
Hitachi	0.0785157
"Dow Jones &AMP; Co."	0.0777573
Samsung	0.0774072
Honeywell	0.0773822
Micron	0.0768437
"Gennady Zyuganov"	0.0752725
"Microsoft Corp."	0.0747943
"Digital Equipment Corp."	0.0747384
"Johnson &AMP; Johnson"	0.0723074
"Mannesmann AG"	0.0722827
"BellSouth Corp."	0.0717481
RAMBUS	0.07074
"Hitachi Ltd."	0.0701647
chipmakers	0.0701211
"Pepsico Inc."	0.0697873
HP	0.0697536
"Wireless Optus"	0.0690556
"Delta Air Lines"	0.0685927
"MindSpring Enterprises"	0.0685404
"Boeing Co."	0.068532
"KLM Royal Dutch Airlines"	0.0684466
"Diamond Multimedia"	0.0682944
"Ali Mahdi Mohamed"	0.0682143
Hasbro	0.0681364
Amgen	0.0677359
Netscape	0.0674341
"Wal-Mart Stores"	0.0672107
Merck	0.0671619
Xerox	0.0667731
"Roosevelt Johnson"	0.0666286
Pepsico	0.0666024
"Symantec Corp."	0.066318
Sunbeam	0.0662801
Mattel	0.0661605
Corel	0.0660662
Caterpillar	0.0660471
Intergraph	0.0648327
"Toshiba Corp."	0.0644626
"Pfizer Inc."	0.0644359
"Abbott Laboratories"	0.0643381
Philips	0.0642661
bombardier	0.0640942
Bestfoods	0.0636306
SGI	0.0631688
emachines	0.0630342
"Procter &AMP; Gamble"	0.0629884
"Mattel Inc."	0.0628257
"F&AMP;N"	0.0627852
"Bruno Megret"	0.0627467
"America Online Inc."	0.0626424
"American Express"	0.0622293
Kodak	0.0622185
Electrolux	0.0616506
"International Paper"	0.0613251
Thyssen	0.0612038
"Canadian Airlines"	0.0608729
"MCI WorldCom"	0.0607348
"Union Carbide"	0.0605386
Dupont	0.0600332
Bayer	0.0599986
"Hearst Magazines"	0.0597817
"Network Associates"	0.059655
"Coca-Cola Co."	0.0595739
Sears	0.0593367
"Philip Morris Cos."	0.0590829
"Procter &AMP; Gamble Co."	0.0590349
MACROMEDIA	0.0584361
"Pratt &AMP; Whitney"	0.0583095
TRW	0.0582827
"Merrill Lynch"	0.0581573
chipmaker	0.0579724
"SmithKline Beecham"	0.0579372
PictureTel	0.0578197
Marconi	0.0576794
"Levi Strauss"	0.0574648
"Sony Corp."	0.0569743
"General Motors"	0.0563414
Gillette	0.0560467
"Eli Lilly &AMP; Co."	0.0559661
Scania	0.0559141
"Ford Motor"	0.0557868
"BankAmerica Corp."	0.0555677
Psion	0.0555273
"Charles Schwab Corp."	0.0553816
"Hong Kong Telecom"	0.0553152
"Eastman Kodak Co."	0.0552946
"Wal-Mart Stores Inc."	0.0551387
"Federal Express"	0.0551004
"Legend Group"	0.0550322
"Alejandro Toledo"	0.0549962
Kellogg	0.0549838
RealNetworks	0.0547101
Olivetti	0.05465
Pfizer	0.0545902
"United Technologies"	0.0545845
Sony	0.0543076
Acer	0.0541425
Vitesse	0.0540616
"Walt Disney Co."	0.0540587
Polaroid	0.0540462
"Patriotic Union of Kurdistan"	0.0539328
EarthLink	0.0537337
Airbus	0.0536866
"Elizabeth Dole"	0.0534512
"Glaxo Wellcome"	0.0532432
Ge	0.0532384
"Qualcomm Inc."	0.0531579
"MCI Worldcom Inc."	0.0529683
"Inkatha Freedom Party"	0.0528278
Siemens	0.0524894
"Frankie Fredericks"	0.0522594
"John Hagelin"	0.0522134
Hewlett	0.0522071
"Atlantic Richfield"	0.0521761
"Kurdistan Democratic Party"	0.0517597
"Qwest Communications"	0.0516597
"Charles Schwab"	0.0516079
"Sara Lee"	0.0512262
"Rick Lazio"	0.0508835
Autodesk	0.0508669
"Fatos Nano"	0.0508099
"Volvo AB"	0.0508015
"NZ First"	0.0507943
Nintendo	0.0506615
Fujitsu	0.0504933
"Wyeth-Ayerst Laboratories"	0.05041
"Gap Inc."	0.0504003
"Northern Telecom"	0.0500372
Changhong	0.049998
"Federated Department Stores"	0.0499915
"Computer Associates"	0.049965
))
("Advanced Micro Devices Inc." (desc 2020.85) (sims
"Advanced Micro Devices"	0.319121
"Intel Corp."	0.188395
"Lucent Technologies Inc."	0.160074
"Oracle Corp."	0.154641
"Hewlett-Packard Co."	0.145544
"Cisco Systems Inc."	0.145023
"Compaq Computer Corp."	0.130672
AMD	0.123608
"Apple Computer Inc."	0.119836
Thyssen	0.115022
"Sun Microsystems Inc."	0.114803
"Dell Computer Corp."	0.113182
"Motorola Inc."	0.113031
"Texas Instruments"	0.109912
"Applied Materials"	0.109752
"Nortel Networks Corp."	0.105988
"Microsoft Corp."	0.105395
"IBM Corp."	0.0986732
"Airbus Industrie"	0.0943763
"Netscape Communications Corp."	0.0930691
"International Business Machines Corp."	0.0924958
"Lockheed Martin Corp."	0.0924719
"National Semiconductor"	0.0911492
"Micron Technology"	0.0909123
"Eastman Kodak Co."	0.0901751
Scania	0.0844507
"Siemens AG"	0.0800834
"Mattel Inc."	0.0797864
"General Motors Corp."	0.0780904
"EMC Corp."	0.0779092
chipmakers	0.0764378
"Toshiba Corp."	0.075757
"Eli Lilly &AMP; Co."	0.0749561
"Advanced Micro"	0.0730403
"Wyeth-Ayerst Laboratories"	0.072493
"Volvo AB"	0.0723493
"Max Biaggi"	0.0693987
Qualcomm	0.0691684
"BellSouth Corp."	0.0686032
"Apple Computer"	0.068305
"Coca-Cola Co."	0.0667574
"Hitachi Ltd."	0.0648961
"Dow Jones &AMP; Co."	0.0646324
"U.S. Agriculture Department"	0.064333
"Lucent Technologies"	0.0637366
"Boeing Co."	0.0635883
"Ford Motor Co."	0.0624722
"Sprint Corp."	0.0623356
"Cisco Systems"	0.0619688
"U.S. Defense Department"	0.0618371
"Census and Statistics Department"	0.0618234
"Australian Bureau of Statistics"	0.0617207
Olivetti	0.061436
"Pratt &AMP; Whitney"	0.0613017
"National Association of Realtors"	0.060714
"Pepsico Inc."	0.0604404
"Ali Mahdi Mohamed"	0.0601195
"Adobe Systems"	0.0595606
Nokia	0.0591829
"General Electric Co."	0.0591545
"Wal-Mart Stores Inc."	0.0591223
"Volkswagen AG"	0.0590851
Electrolux	0.059078
"Gennady Zyuganov"	0.0588219
Airbus	0.0587924
Toshiba	0.0584192
"Citigroup Inc."	0.0583689
Cyrix	0.0580107
"Sony Corp."	0.0578507
"MCI Worldcom Inc."	0.0576768
Alcoa	0.0572094
"Nancy Kerrigan"	0.0568769
"Xerox Corp."	0.0562917
Hewlett-Packard	0.0559996
"Diamond Multimedia"	0.0557342
Ericsson	0.0553423
Sega	0.0551883
"Delta Air Lines"	0.0546927
Bayer	0.0545878
"Charles Schwab Corp."	0.0543073
"American Petroleum Institute"	0.0542512
"America West Airlines"	0.0537433
"Nortel Networks"	0.0537033
"Hong Kong Monetary Authority"	0.0532529
"Federal Express"	0.0529419
"SmithKline Beecham"	0.0527506
CCA	0.0526427
Scientific-Atlanta	0.0523036
EMC	0.0521987
"Dell Computer"	0.0521905
"U.S. Treasury Department"	0.0520513
"CBS Corp."	0.0518731
Warner-Lambert	0.0518522
Informix	0.0518518
"Time Warner Inc."	0.051692
"Compaq Computer"	0.0516588
"Bob Arum"	0.0514053
Schering	0.0511126
Alcatel	0.0511104
"McDonnell Douglas"	0.0508651
Marconi	0.0506018
"Merck &AMP; Co."	0.0505381
"Bristol-Myers Squibb"	0.0503819
"National Electoral Commission of Nigeria"	0.0502159
"Gillette Co."	0.0502063
"Championship Auto Racing Teams"	0.0500864
"Abbott Laboratories"	0.050028
"Raytheon Co."	0.0499473
"America Online Inc."	0.0495359
NEC	0.0494935
"Pfizer Inc."	0.049116
IDG	0.048974
Pepsico	0.0489709
"Levi Strauss &AMP; Co."	0.0487211
"Economic Planning Agency"	0.0479142
Changhong	0.0478322
weakling	0.0478122
"F&AMP;N"	0.0477458
"El Mundo"	0.047519
"Ministry of Trade"	0.0472917
"Vodafone Airtouch PLC"	0.0472126
"Sun Microsystems"	0.0471384
"Enron Corp."	0.0470478
"Christine Arron"	0.0469703
Penney	0.0468263
"Yahoo Inc."	0.0468212
"Health Department"	0.0467418
Bestfoods	0.0466006
"Nissan Motor Co."	0.0465421
"European Space Agency"	0.0465202
"Der Spiegel"	0.0463625
"Bank of Israel"	0.0463166
Psion	0.0462155
Fuji	0.0461886
"National Election Committee"	0.0461825
PictureTel	0.0459787
"T Corp."	0.0459663
S@	0.0458895
"International Badminton Federation"	0.0457711
"JDS Uniphase"	0.0453832
Fedex	0.0453735
"Ministry of Transport"	0.0451269
"U.S. Labor Department"	0.0448962
"Hyundai Group"	0.044879
"Boeing company"	0.0447638
generics	0.04445
Konka	0.0444394
EarthLink	0.0443178
Novartis	0.0442831
"Red Star"	0.043948
Goodyear	0.0438845
"Ministry of International Trade and Industry"	0.0436009
"Air Transport Association"	0.0435979
"George Miller"	0.0435571
"auto maker"	0.0435115
"Scott Harshbarger"	0.0433355
Nintendo	0.0433298
"Warner-Lambert Co."	0.0432782
"Information Center"	0.0432429
"Health Insurance Program"	0.043196
"Dow Jones Newswires"	0.0430753
AstraZeneca	0.0430143
"Alejandro Toledo"	0.043013
Hyundai	0.0429801
"WorldCom Inc."	0.04297
"US State Department"	0.0429147
"Ford Motor Company"	0.0428942
"Qualcomm Inc."	0.0428205
Broadcom	0.042747
Antara	0.0425927
"Bank Negara"	0.0425814
"Commerce Ministry"	0.0424953
"Charles Schwab"	0.0424863
Difrancesco	0.0424858
PUK	0.0423059
"U.S. Commerce Department"	0.0422927
"Gulbuddin Hekmatyar"	0.0421657
"Department of Public Health"	0.0421592
Post-Intelligencer	0.0421097
"NEC Corp."	0.0420313
"El Pais"	0.0420073
Ertl	0.0419421
"Bank of Montreal"	0.0416771
"Atlantic Richfield"	0.0416636
"Societe Generale"	0.0415684
NTL	0.0414239
"Monsanto Co."	0.0412802
"Netscape Communications"	0.0411605
"Public Security Ministry"	0.0409428
"Central Election Commission"	0.0408234
AGL	0.0408172
"Financial Supervisory Agency"	0.0407914
AIRTRAN	0.0407735
"First Union Corp."	0.0406968
Sunbeam	0.0406499
"press agency"	0.040574
"Electoral Commission"	0.0405222
Satcher	0.0402287
"Department of Commerce"	0.0401317
"Ford Motor"	0.0400255
))
(advancement (desc 26178.5) (sims
progress	0.161944
development	0.160897
Promotion	0.143058
modernization	0.141303
improvement	0.140239
integration	0.137834
enhancement	0.134222
consolidation	0.133279
industrialization	0.131808
prosperity	0.129911
stability	0.129739
innovation	0.12363
growth	0.122668
reform	0.122175
revitalization	0.12046
strengthening	0.119967
achievement	0.117998
recovery	0.11326
well-being	0.113254
democratization	0.110944
transformation	0.109889
reunification	0.109772
expansion	0.108132
cooperation	0.107183
realization	0.107022
Liberalization	0.106975
competitiveness	0.105123
empowerment	0.104621
normalization	0.104579
rejuvenation	0.103598
Implementation	0.103321
peace	0.103257
preservation	0.102929
attainment	0.102549
alleviation	0.102029
emancipation	0.0997064
restoration	0.0983537
employment	0.0961265
deepening	0.0957836
eradication	0.0947418
equality	0.0946192
upgrading	0.0941019
reconciliation	0.0938514
protection	0.0929787
stabilization	0.092513
survival	0.0909363
advance	0.0901077
transition	0.0896977
"rapid growth"	0.0896719
deregulation	0.089309
unity	0.0892112
renewal	0.0890068
reconstruction	0.0885107
success	0.088291
democracy	0.0882554
urbanization	0.0878494
participation	0.0877276
undertaking	0.0874741
readjustment	0.0870677
creation	0.0869099
education	0.0868114
maintenance	0.0861701
opening-up	0.0859824
globalization	0.0857158
diversification	0.0855328
process	0.0852199
restructuring	0.0851808
"development strategy"	0.0849876
efficiency	0.0848022
evolution	0.0846691
breakthrough	0.0844393
research	0.0843349
"free trade"	0.0839277
governance	0.0835055
Openness	0.0833678
conservation	0.0828233
establishment	0.0822909
Privatization	0.0820318
relation	0.0817613
reduction	0.0814782
productivity	0.0801528
"information technology"	0.0800998
excellence	0.0798499
prevention	0.0793202
environment	0.0790205
profitability	0.0787636
adjustment	0.0777285
interaction	0.0773623
decentralization	0.0770237
diversity	0.0769433
understanding	0.0768568
rehabilitation	0.0767505
resumption	0.0766806
trend	0.0761065
"mutual understanding"	0.0757959
disarmament	0.0747558
endeavor	0.0747072
entrepreneurship	0.074402
investment	0.0743602
policy	0.0742292
"vocational education"	0.0742157
awareness	0.0740161
security	0.0738856
construction	0.0736579
afforestation	0.0735246
continuation	0.0733318
revival	0.0731932
interdependence	0.0731538
adoption	0.0729794
Betterment	0.0728143
objective	0.0725448
"market reform"	0.0725062
future	0.072338
economy	0.0722587
unification	0.072187
partnership	0.0720529
training	0.0718621
emergence	0.071575
accomplishment	0.0714563
formation	0.0712798
self-reliance	0.0711283
liberation	0.0711069
renovation	0.0709226
literacy	0.0707895
popularization	0.0706103
competence	0.0704622
coexistence	0.0702407
dissemination	0.0700917
Sino	0.0700385
health	0.0699586
welfare	0.0699017
elimination	0.0694729
friendship	0.0694211
coordination	0.0691796
management	0.0691639
strategy	0.0691082
infrastructure	0.0690711
commercialization	0.0688964
flexibility	0.0688503
accession	0.0687267
opportunity	0.0687206
"quality of life"	0.0686221
science	0.0684036
enforcement	0.0681355
fundamental	0.0680649
"social welfare"	0.0675575
harmonization	0.067491
transparency	0.0672865
acceptance	0.0672174
Convergence	0.0671754
internationalization	0.0671106
dialogue	0.0669139
diplomacy	0.0668728
livelihood	0.0668161
"equal opportunity"	0.0666868
"higher education"	0.066573
discipline	0.0663869
continuity	0.0661907
"standard of living"	0.0661826
solidarity	0.0660175
enjoyment	0.0658913
reorganization	0.0658039
technology	0.0656362
flow	0.0656162
"family planning"	0.0654471
freedom	0.0653283
initiative	0.0652982
application	0.0652758
standardization	0.0651921
facilitation	0.0651205
quality	0.0650567
relationship	0.064971
inequality	0.0647774
safeguarding	0.0647662
potential	0.0646879
revolution	0.0646724
dynamism	0.0646523
settlement	0.0646464
enlargement	0.06448
exploration	0.0644154
utilization	0.0643945
vitality	0.0642686
"rule of law"	0.064227
capability	0.0642002
"human right"	0.0641979
redistribution	0.0640524
agriculture	0.0640063
multi-polarization	0.0639808
reemployment	0.0633749
recognition	0.0633472
introduction	0.0632386
learning	0.0632339
relaxation	0.0631373
access	0.0631199
degradation	0.0631169
communication	0.0629451
Creativity	0.0628897
momentum	0.0627997
knowledge	0.0627934
solution	0.0625975
))
(advancer (desc 4712.07) (sims
decliner	0.636107
Gainer	0.322372
loser	0.155218
outspent	0.105931
falls	0.101058
"Seibu Lions"	0.0675599
"American Pete Sampras"	0.0605973
outshot	0.0567689
Gustafsson	0.0487576
Hakkinen	0.0486668
NYSE	0.0484351
Supersonics	0.0481846
riser	0.0477357
SDLP	0.0476353
Hongyuan	0.0471978
"LA Lakers"	0.0470255
outhit	0.0459075
ticker	0.045731
"blue-chip stock"	0.0451776
Berasategui	0.0446339
Bastia	0.0434758
Shenhua	0.0432257
Freiburg	0.0424921
Buffaloes	0.0417557
"American Chanda Rubin"	0.0416648
"Dallas Burn"	0.0407503
Aamodt	0.0406969
"Yu Zhuocheng"	0.0401715
))
(Advani (desc 762.908) (sims
Singson	0.292201
Velayati	0.241249
Ikeda	0.239043
Ruehe	0.235245
Scharping	0.225676
Aventajado	0.219278
Yastrzhembsky	0.210246
Meguid	0.201003
Hodler	0.196322
Waigel	0.193376
Bolger	0.191037
Tsang	0.190917
Kasoulides	0.19037
Kyprianou	0.19008
Rifkind	0.188421
Sergeyev	0.18805
Jovanovic	0.18673
Nasrallah	0.186649
Shareh	0.184621
Flanagan	0.183878
Burleigh	0.183764
Beazley	0.182217
Diouf	0.181579
Sakakibara	0.181563
"de Charette"	0.180995
Dini	0.180542
Manley	0.178751
Lehane	0.178643
Gosper	0.178183
LaPierre	0.176984
Alarcon	0.176199
Rothenberg	0.175437
Nzo	0.174595
Cem	0.172656
Wilhelm	0.172089
Mikhailov	0.171703
Kharrazi	0.171289
Stoyanov	0.170426
Kornberg	0.168947
Orban	0.168893
Seselj	0.16853
Wolfson	0.167642
Azad	0.167542
Ciampi	0.167233
Klima	0.166047
Guterres	0.16405
Hauser	0.163476
Kesri	0.161837
Pangalos	0.161023
Zucker	0.160569
Meissner	0.159467
Shevardnadze	0.158869
Kajiyama	0.158662
Verney	0.158413
Indyk	0.158252
Bizimungu	0.157371
Hiddink	0.156795
Barshefsky	0.156554
Kinkel	0.155723
Grachev	0.154372
Zuma	0.153865
Azizah	0.15344
Goossen	0.153293
Aguirre	0.153181
Zhirinovsky	0.152578
Malu	0.151646
Nujoma	0.151543
Insulza	0.151428
Alatas	0.151167
Moratinos	0.150855
Scalfaro	0.150531
Schrempp	0.150167
Demaci	0.150163
McCurry	0.150083
Prewitt	0.149914
"Orlando Mercado"	0.149855
Wolfensohn	0.149847
Khamenei	0.149544
Abdel-Meguid	0.149133
Ritter	0.149039
Erekat	0.14903
Schuessel	0.148661
Bakaly	0.147467
Wenger	0.147183
Shipley	0.147146
Ecevit	0.146752
Fernandes	0.146529
Sumaye	0.146196
Reimer	0.145489
Ruggiero	0.145258
Menchu	0.144652
Mandelson	0.144049
Eizenstat	0.144015
Juma	0.143811
Ikimi	0.142581
Levitt	0.142084
Siazon	0.142027
Condit	0.141616
Westendorp	0.14141
Beilin	0.141158
Lipponen	0.141118
Steiner	0.139408
Jayakumar	0.139103
Ishihara	0.139099
Grasso	0.139082
Caddell	0.138574
Chavalit	0.138273
Lockyer	0.138043
Kulikov	0.137484
Seleznyov	0.137403
Piot	0.13731
Kumar	0.136679
Aziz	0.136623
Denktash	0.13662
Husseini	0.135982
Surin	0.135878
Kennard	0.135851
Prueher	0.135278
Mkapa	0.135017
Hrawi	0.134996
Sanan	0.134947
Zadornov	0.134415
Brundtland	0.134216
Rossotti	0.134122
Goldin	0.134086
Markovic	0.134051
Kostov	0.13378
Tarrin	0.13341
Duisenberg	0.133107
Patel	0.133058
Nazarbayev	0.133033
Ivanov	0.132935
Inhofe	0.132656
Akayev	0.132379
Alioto	0.131725
Dodik	0.130957
McLane	0.130907
Fino	0.130769
Brownback	0.130662
Carollo	0.129914
Sheehan	0.129479
Harmoko	0.129313
Buthelezi	0.12924
Vedrine	0.129208
Bustamante	0.128931
Nebiolo	0.128751
Constantinescu	0.128213
Ahern	0.128039
Soares	0.127926
Rodionov	0.127815
"President Lee Teng-hui"	0.127806
Holl	0.127794
Neeman	0.127643
Mowlam	0.127579
Bellamy	0.127389
Sorensen	0.127266
Chissano	0.127173
Saleh	0.127129
Modise	0.127004
Brahimi	0.126676
Robson	0.126245
Blatter	0.126184
Daschle	0.126182
Edelstein	0.126119
Komura	0.126028
Koskinen	0.126016
McCaffrey	0.125886
Moussa	0.125831
Kwasniewski	0.124976
Hybl	0.124657
Camacho	0.124544
Musa	0.124494
Kohler	0.124442
Luong	0.124139
Murad	0.124007
Arbour	0.123769
McDonough	0.123698
Leavitt	0.123489
Khai	0.123476
Lau	0.123165
Caldera	0.123066
Rais	0.12303
Pustovoitenko	0.123007
Thapa	0.122756
Lahoud	0.122392
Solana	0.122284
Shamshad	0.122268
Havelange	0.12216
Yadav	0.12193
Papandreou	0.121917
Joklik	0.121756
Ghalib	0.121648
Gowda	0.120747
Naumann	0.12059
Soyinka	0.119791
Brazile	0.119749
Thayer	0.119622
Maslyukov	0.119487
Ivester	0.119466
Ebersol	0.119392
Sharansky	0.119346
Downer	0.119276
Cashman	0.119227
Rylander	0.119019
Ogata	0.118665
Banharn	0.118539
Cui	0.118435
Pickering	0.118162
Bulatovic	0.118037
Camdessus	0.117624
Fuentes	0.117294
Bavasi	0.117127
"Secretary General Esmat Abdul-Meguid"	0.116994
Finkel	0.11685
Shayler	0.116806
Zou	0.116805
Severino	0.116628
Kono	0.116554
Phieu	0.116373
Sponeck	0.116295
Tarawneh	0.116223
Maurizi	0.116206
Elliot	0.116179
Lukashenko	0.116131
Yazdi	0.116062
Yilmaz	0.115943
Malan	0.11581
Milutinovic	0.115798
Gullit	0.115626
Troussier	0.115481
Daft	0.115368
Vasile	0.115333
Fleischer	0.115186
Lundberg	0.115164
Constantine	0.114879
Lockhart	0.114786
Aznar	0.114738
Stroyev	0.114656
Babcock	0.114594
Cianci	0.114469
Okada	0.114465
Garang	0.114047
Majali	0.114014
Chadwick	0.113612
Narayanan	0.113537
Hunsicker	0.113191
Leghari	0.11313
Kavan	0.113101
McKinnon	0.112971
Sato	0.112808
Bonner	0.112683
Allard	0.112516
Ganzouri	0.112492
Mukora	0.112291
Luzhkov	0.112278
Xanana	0.112096
Penders	0.112047
Sensenbrenner	0.111997
Kyl	0.111959
Klestil	0.111886
Harris-Lewis	0.111738
Vajpayee	0.111689
Lamont	0.111618
Goh	0.111578
Godfrey	0.111519
Chuan	0.11148
Storin	0.111364
Cooley	0.111347
Erbakan	0.111342
Gillick	0.111282
Masire	0.111111
Echols	0.111107
Gossage	0.110955
Hamid	0.11079
Bronfman	0.110733
Reinhardt	0.110732
McNulty	0.11071
Rongen	0.109989
Sharaa	0.109884
Zacarias	0.10975
"De Klerk"	0.109614
Ruthardt	0.109543
Venables	0.109509
Sherrill	0.109432
Kromah	0.10943
Prodi	0.109427
Engelberg	0.109139
Aleman	0.109103
Postol	0.109049
Fischer	0.108992
Dowd	0.108968
Chao	0.108901
Herron	0.108601
"Robert Aventajado"	0.108442
Kumaratunga	0.108338
Zeman	0.108236
Cleary	0.108219
Conte	0.10821
Jobe	0.108189
Khalil	0.108123
Fabius	0.108056
Mendez	0.107994
Byers	0.107972
Clerides	0.107924
Nemtsov	0.107869
Ratner	0.107566
Solis	0.107551
Strauss-Kahn	0.107486
Brittan	0.107403
kraut	0.107377
Rubinstein	0.107319
Talebi	0.107212
Sasser	0.107183
Frei	0.106701
"Al Fayed"	0.10668
Maldini	0.106633
Kuchma	0.106555
Imelda	0.106498
Espinosa	0.106405
Hanley	0.106337
Zambrano	0.106309
Ftorek	0.106267
Wellstone	0.10622
Hanna	0.105898
Skiles	0.105845
Boueiz	0.105709
Hoddle	0.105695
Kodikian	0.10565
Cubas	0.105488
Paxon	0.105448
"administration official"	0.105354
Simitis	0.105344
Vance	0.10514
Murayama	0.105127
Haskins	0.105057
Gujral	0.104972
Sheng	0.104829
Garcetti	0.10479
Mordechai	0.104745
Hensley	0.104716
MIYAZAWA	0.10462
Satcher	0.104585
"Lee Hsien Loong"	0.104444
"Amos Wako"	0.104302
Poole	0.104226
Koirala	0.104187
Shalala	0.10415
Kuhn	0.104112
Ben-Ami	0.104053
Krasniqi	0.104023
Iglesias	0.103975
Sarid	0.103908
Mercado	0.103817
Babbitt	0.10373
Bashir	0.103666
"Dan Glickman"	0.103586
Glickman	0.10355
Dai	0.103311
al-Sahhaf	0.10314
"Russian Foreign Ministry"	0.103077
Boucher	0.103028
Omar	0.102982
Chiluba	0.102981
Kasyanov	0.102877
Kagame	0.102836
hodgson	0.102599
Borodin	0.102486
"David Bar-Illan"	0.102405
Rosenblatt	0.102117
wen	0.102091
Kessler	0.102048
Ackerman	0.10204
Malik	0.101956
Maskhadov	0.101907
Levinson	0.101892
"Pope John Paul"	0.101791
Polian	0.101769
Weizman	0.101748
Ashrawi	0.101721
Schiffer	0.10172
"Le Pen"	0.101711
Bildt	0.101583
Madden	0.101467
Salim	0.101448
BURNHAM	0.101432
Kony	0.101266
Rousseau	0.101062
Rossello	0.101038
Monson	0.100988
Sutiyoso	0.100951
Kazhegeldin	0.100894
Koehler	0.100879
"Bill Skate"	0.10078
Meles	0.100778
Skuratov	0.100751
Ahmad	0.100369
"De Soto"	0.100193
Hoss	0.100107
))
(advantage (desc 126236) (sims
lead	0.167731
edge	0.14315
disadvantage	0.140272
benefit	0.12427
margin	0.122287
strength	0.118908
victory	0.105497
chance	0.104495
potential	0.103633
"competitive advantage"	0.102422
opportunity	0.101299
superiority	0.0988418
success	0.0948947
factor	0.0940405
"upper hand"	0.0938428
difference	0.0928715
win	0.0928067
gain	0.0903683
goal	0.0901391
improvement	0.0898137
dominance	0.0871824
deficit	0.0868115
problem	0.086549
drawback	0.0859533
momentum	0.0848124
power	0.0846241
challenge	0.0844802
point	0.0844429
leverage	0.0835255
gap	0.0828156
experience	0.0827136
support	0.0826833
influence	0.0823682
risk	0.0818609
"power play"	0.0803434
change	0.0796298
loss	0.0795569
value	0.0792458
importance	0.0790075
saving	0.0786334
cushion	0.0783957
impact	0.0783302
weakness	0.0775547
ability	0.0773196
resource	0.0772701
incentive	0.0772078
boost	0.0769469
record	0.0767455
issue	0.0765496
interest	0.0765013
difficulty	0.0760284
expertise	0.0758547
game	0.0756142
position	0.0753877
skill	0.0743608
achievement	0.0739511
score	0.0728598
role	0.0728117
money	0.0724843
prospect	0.072441
effect	0.0721875
capability	0.0717904
flexibility	0.0713602
strategy	0.0713531
vote	0.0713421
aspect	0.0713095
efficiency	0.0710616
status	0.0706575
possibility	0.0706007
obstacle	0.0705811
talent	0.0705128
"market share"	0.0704936
confidence	0.0703093
wealth	0.0699784
choice	0.0697156
kind	0.0696255
control	0.0694694
shot	0.0691738
growth	0.0691201
accomplishment	0.0690642
priority	0.0690415
rebound	0.0687398
triumph	0.068697
cost	0.0686683
Limitation	0.0683143
significance	0.0681357
mistake	0.0681227
thing	0.0680746
idea	0.0680705
development	0.0680501
result	0.0677425
profit	0.0675159
progress	0.0671512
promise	0.0670037
sense	0.0669204
performance	0.0666781
virtue	0.0666767
"field goal"	0.0666576
characteristic	0.0666403
job	0.0665831
danger	0.0663349
increase	0.0662229
element	0.0661563
flaw	0.0660772
need	0.0659375
number	0.0659328
clout	0.0653926
convenience	0.0653596
burden	0.0652111
credibility	0.065166
shortcoming	0.0651621
popularity	0.0651378
setback	0.0650226
lack	0.0648394
reduction	0.0646962
measure	0.0646772
presence	0.0644317
option	0.0643617
shift	0.0643015
knowledge	0.0642122
reason	0.0641549
privilege	0.0640545
asset	0.0640237
speed	0.0638885
concern	0.0638367
reward	0.0637659
quality	0.0636023
consideration	0.063486
reputation	0.0634009
rating	0.0632653
trend	0.0632589
protection	0.0632021
consequence	0.0631674
defeat	0.0631271
innovation	0.0630308
responsibility	0.062945
amount	0.0628106
right	0.0626639
synergy	0.0626526
adjustment	0.0626189
competitiveness	0.0625933
contribution	0.0624285
recognition	0.0623481
spot	0.0623141
feature	0.0622383
key	0.0621579
combination	0.0620783
motivation	0.0620629
tie	0.0618334
downside	0.0618317
title	0.0616003
penalty	0.0615667
size	0.0613283
disparity	0.0609657
return	0.0608408
focus	0.0607695
lesson	0.060768
access	0.0606278
credit	0.0605652
policy	0.0605422
approach	0.0604857
task	0.0604036
hope	0.0603364
implication	0.060274
level	0.0602456
depth	0.0602215
effectiveness	0.0602198
understanding	0.0601634
advance	0.060163
bonus	0.0599603
concession	0.0599003
appeal	0.0598148
lot	0.0597747
attraction	0.0596912
indication	0.059687
situation	0.0596716
endorsement	0.0596161
distinction	0.0596106
preference	0.0595691
merit	0.0591916
barrier	0.0591408
tool	0.0591189
team	0.0588928
alternative	0.0588902
availability	0.0588254
breakthrough	0.0588193
commitment	0.0587565
part	0.0586452
objective	0.0585137
limit	0.0584893
favor	0.0583555
offense	0.0582786
market	0.0581678
trouble	0.0581572
comeback	0.0581264
pitfall	0.0580714
stability	0.0580572
purpose	0.057979
perspective	0.0578936
"free throw"	0.0578692
))
(advent (desc 21239.6) (sims
coming	0.122509
emergence	0.090255
introduction	0.0901006
onset	0.0804805
Proliferation	0.0784152
arrival	0.0780539
dawning	0.074508
Convergence	0.0726671
ubiquity	0.0678356
dawn	0.0640383
"rapid growth"	0.0598119
demise	0.0586402
launching	0.0580672
pervasiveness	0.0578677
availability	0.0578668
Invention	0.0565535
popularity	0.056193
"early days"	0.0558717
"Lunar New Year"	0.0553456
adoption	0.0543197
rollout	0.0523714
influx	0.0519215
creation	0.0518677
birth	0.0506055
onslaught	0.0505569
consolidation	0.0504146
completion	0.050291
deepening	0.0501768
globalization	0.049977
deregulation	0.0489401
resumption	0.0477812
discovery	0.0471797
expansion	0.0456935
reopening	0.0454919
evolution	0.045138
profusion	0.0449705
melding	0.0446648
breakup	0.0444239
efficacy	0.0442365
weakening	0.0442136
"Second Coming"	0.0432625
acceptance	0.0428505
glut	0.0427726
ascension	0.0424699
commercialization	0.0422485
upheaval	0.0420321
founding	0.0419734
rebirth	0.0418906
abolition	0.0418849
issuance	0.0416023
unveiling	0.041451
cusp	0.0413826
inauguration	0.0413354
vagary	0.0411189
transformation	0.040956
dominance	0.0405347
deployment	0.0403865
overuse	0.0403578
devaluation	0.0403205
airing	0.0403189
advancement	0.0402866
))
(adventure (desc 72781.5) (sims
tale	0.112909
journey	0.108708
Romance	0.106425
fantasy	0.10544
drama	0.10378
mystery	0.0996673
movie	0.0952936
story	0.0929585
thrill	0.0927886
experience	0.0924562
Voyage	0.0914559
comedy	0.0913362
life	0.086089
thriller	0.0858493
film	0.0848061
exploit	0.0837598
novel	0.0818486
epic	0.0815959
horror	0.0808091
tragedy	0.0807679
fun	0.0804889
"love story"	0.0801667
excitement	0.0798895
Entertainment	0.0798569
suspense	0.0789499
trip	0.0772255
spectacle	0.076942
character	0.0767505
pleasure	0.0766797
ride	0.0762975
passion	0.0758593
fiction	0.0757217
Saga	0.0754893
odyssey	0.0730331
vacation	0.072989
expedition	0.0729131
encounter	0.0727885
love	0.0726117
dream	0.072276
accomplishment	0.0720788
beauty	0.0719832
excursion	0.0718537
humor	0.0716968
struggle	0.0712738
ordeal	0.0711252
intrigue	0.0711079
dance	0.0709598
history	0.0699478
"science fiction"	0.0699236
thing	0.0697812
farce	0.0688901
moment	0.0684692
art	0.0680086
scene	0.0677767
classic	0.0674874
satire	0.0674021
melodrama	0.0671746
sequel	0.0664604
hobby	0.0663476
cruise	0.0661233
music	0.0660167
"soap opera"	0.0659048
book	0.0658933
nightmare	0.0656762
cartoon	0.0650837
event	0.0646169
style	0.0643773
experiment	0.064328
success	0.0641858
episode	0.0639386
tour	0.0638661
happiness	0.0638338
trek	0.0634607
escape	0.0633819
reality	0.0633567
joy	0.0629977
vision	0.0627348
poetry	0.0626773
travel	0.0626306
flick	0.0626208
sex	0.0625335
hero	0.0623746
exploration	0.0623186
Song	0.0622996
battle	0.0622978
musical	0.0621678
miracle	0.0619706
biography	0.0619553
series	0.0613429
opportunity	0.0613362
travelogue	0.061273
relationship	0.0611546
exercise	0.0611501
challenge	0.061042
quest	0.060944
charm	0.0605005
magic	0.0604538
twist	0.0602306
portrait	0.0602297
theme	0.0601645
memoir	0.0601645
glory	0.0601639
escapade	0.0600906
narrative	0.0600198
behavior	0.0600032
myth	0.0599518
safari	0.0598241
stuff	0.059785
blockbuster	0.0596872
career	0.0596191
landscape	0.0594677
"love affair"	0.0593977
sitcom	0.0593685
something	0.0593407
image	0.0592642
inspiration	0.0592516
stunt	0.0592149
picture	0.0591617
documentary	0.0591248
luxury	0.0590846
attraction	0.0590441
version	0.0590134
misadventure	0.0589523
irony	0.0588983
action	0.0588356
creature	0.0587553
activity	0.0587296
Mission	0.0587116
phenomenon	0.0585537
sequence	0.0584146
kind	0.05838
novelty	0.0583644
feat	0.0582986
idea	0.0581961
celebration	0.058181
innovation	0.0581196
romp	0.0581089
achievement	0.0580402
celebrity	0.057744
tradition	0.0577236
ritual	0.0577066
memory	0.0577049
feature	0.0577027
nostalgia	0.0574301
anecdote	0.0573744
bargain	0.057283
scenario	0.0572308
joke	0.0572047
obsession	0.057194
lifestyle	0.0571494
intimacy	0.0571465
genre	0.0571229
fame	0.0570864
disaster	0.0570783
discovery	0.05703
fable	0.0569635
fashion	0.0569316
lesson	0.0569027
emotion	0.0568807
Creativity	0.0567424
feeling	0.0566613
getaway	0.0565374
opera	0.0564826
legend	0.056462
performance	0.0562224
Invention	0.0560733
triumph	0.0560688
personality	0.0560467
plot	0.055964
culture	0.0558887
politics	0.0558883
subject	0.0558866
heroism	0.0557944
conversation	0.0557849
"TV show"	0.0557165
betrayal	0.0556906
imagination	0.055528
curiosity	0.0554833
marriage	0.0553971
skill	0.0552649
spoof	0.0551269
Childhood	0.055124
reunion	0.054899
act	0.054849
nature	0.0547383
endeavor	0.0546845
concept	0.0546694
rivalry	0.0546425
surprise	0.0542905
talent	0.0541742
writing	0.0540438
revenge	0.0539352
pride	0.0539102
pursuit	0.053887
vignette	0.0538125
wonder	0.0536815
violence	0.0535703
sort	0.0535481
animation	0.0535477
sport	0.0535295
))
("adventure story" (desc 1312.35) (sims
courtesan	0.0939545
singer-songwriters	0.0845878
"landscape architect"	0.0801731
"reference book"	0.0790202
Catch-@@	0.0786672
"detective story"	0.0773225
"love story"	0.0756218
"parlor game"	0.0731215
whodunit	0.0721817
"Satanic Verses"	0.070524
"Edmund Hillary"	0.0698217
Moby-Dick	0.0678005
"best seller"	0.0666726
songbook	0.0636004
"Moby Dick"	0.0631129
emulator	0.0620546
epigram	0.0614611
underachiever	0.061289
treatise	0.0609371
pleaser	0.0609253
potboiler	0.0609149
"man of letters"	0.0604771
rebounders	0.0600167
"dance band"	0.0597632
"young actress"	0.0594921
"sailing vessel"	0.0589786
Masterworks	0.0585929
"picture book"	0.058321
"fringe benefit"	0.0581712
fable	0.0572257
"Les Miserables"	0.0570272
"life story"	0.0569994
"swing music"	0.055498
"piece of music"	0.0554855
Ode	0.0542334
ism	0.0541636
encyclical	0.0540974
proverb	0.0540445
anticlimax	0.0539364
"morality play"	0.0537836
"Star-Spangled Banner"	0.0536838
travelogue	0.0534112
Agnes	0.0532959
individualist	0.0532349
"reference work"	0.053114
brawler	0.0525482
Striver	0.0523492
orthodontist	0.0523377
Brasserie	0.0522288
afterword	0.0516735
storybook	0.0515885
Irishmen	0.0513849
"instruction manual"	0.0513204
nub	0.0510306
"official document"	0.0509483
"entitlement program"	0.0506517
"blank check"	0.0506294
"luxury liner"	0.0506248
tome	0.0505327
paradox	0.0504133
cabinetmaker	0.0503108
"femme fatale"	0.0501506
bestseller	0.0501429
"Animal Farm"	0.0501194
"Arabian Nights"	0.0497994
periodical	0.0496851
overachiever	0.0495608
screwball	0.0491794
nudist	0.0491441
Girlfight	0.0488925
"musical theater"	0.0488628
"Beauty Queen"	0.0485142
adopters	0.0484057
"Christmas carol"	0.0482843
bordello	0.04819
humorist	0.0476384
indentation	0.0474832
"Invisible Man"	0.0474535
Winnie	0.0470168
"first won"	0.0469025
guidebook	0.0464652
"Basic Books"	0.0463263
psychobabble	0.0461993
"funeral director"	0.0461751
"supper club"	0.0461707
aphorism	0.0461616
"situation comedy"	0.0461514
bastard	0.0461201
"Don Quixote"	0.0459227
"utility program"	0.0456388
auteur	0.0454981
"computer language"	0.0454951
cinematographer	0.0454177
"natural ability"	0.045242
techies	0.0448716
"ice storm"	0.0448398
illustrator	0.0447725
"Great Gatsby"	0.044751
raconteur	0.0446351
"literary work"	0.0446018
conundrum	0.044438
"magazine article"	0.0443859
"birthday present"	0.0442973
celebs	0.0442213
"English Patient"	0.0441299
femininity	0.0438905
"economic theory"	0.0437712
Sykes	0.043765
"comic strip"	0.0437061
"Good Book"	0.0436696
pragmatist	0.0435954
Truism	0.0435863
"Jurassic Park"	0.0435389
Swazi	0.0435372
Oregonian	0.0434213
endgame	0.0433161
achiever	0.0433069
Tintin	0.0430926
ditty	0.0430449
"art collection"	0.0429848
"variety show"	0.0427669
operetta	0.0427253
"oil painting"	0.04255
goaltenders	0.0424938
theatergoer	0.0424659
edginess	0.042406
"off-speed pitch"	0.0423628
"board game"	0.0419978
Stealers	0.0419919
Washingtonian	0.041902
"tabloid newspaper"	0.0418042
"missing link"	0.0417695
doomsayers	0.0416415
autocrat	0.0415179
"political boss"	0.0414472
avatar	0.0414054
"Palm Pilot"	0.0413235
elegy	0.0412937
demagogue	0.041093
pagan	0.0410638
"gathering place"	0.0409716
"gambling casino"	0.0409175
aperitif	0.0407986
scrapbook	0.0407802
closers	0.0407279
hitchhiker	0.0406686
screed	0.0406139
Palazzo	0.0403823
remembering	0.0403414
"opening line"	0.0402242
enigma	0.0402062
imitator	0.0400838
dichotomy	0.0400796
craftspeople	0.0400336
))
(adventurer (desc 11378.5) (sims
balloonist	0.133648
mountaineer	0.109139
Explorer	0.10898
climber	0.0834456
hiker	0.0791262
anthropologist	0.0761229
nobleman	0.0759934
"man of letters"	0.0737903
"art historian"	0.0732657
"little leaguer"	0.0726292
entrepreneur	0.0724546
historian	0.071888
surfer	0.0716618
sailor	0.0706842
aviator	0.0706358
linguist	0.0705768
traveler	0.0696447
Industrialist	0.0692821
scientist	0.0691829
statesmen	0.0683985
photographer	0.0676157
dramatist	0.0673401
yachtsman	0.0671259
vacationer	0.0669182
holidaymaker	0.0665875
botanist	0.0657236
"mountain climber"	0.0655105
dreamer	0.0654886
skier	0.0654854
tourist	0.0652889
naturalist	0.0652068
geologist	0.0649726
angler	0.0649351
airmen	0.0645823
poet	0.0643863
sightseer	0.0640344
journalist	0.0639003
missionary	0.0637704
mathematician	0.0637018
birder	0.0634532
humorist	0.063105
individualist	0.0630753
backpackers	0.0630478
collector	0.06271
painter	0.0625814
musician	0.06245
filmmakers	0.0624468
astronaut	0.0624254
shopper	0.0622767
"con artist"	0.0620975
skydiver	0.0618041
intellectual	0.0615944
inventor	0.061593
"naval officer"	0.0608872
craftsmen	0.0608147
diver	0.0606371
novelist	0.0604387
newlywed	0.06027
paleontologist	0.0600898
backpacker	0.0600531
philanthropist	0.0600413
overachiever	0.0600144
"business traveler"	0.0599909
bagpiper	0.0596803
mercenary	0.0594917
"business executive"	0.0592542
theatergoer	0.0591103
scholar	0.058631
restaurateur	0.058621
businessmen	0.0585642
"sports fan"	0.0584789
"risk taker"	0.0584291
golfer	0.0583937
puppeteer	0.058271
financier	0.0581876
"scuba diver"	0.05813
Hunter	0.0581048
expedition	0.0580093
aristocrat	0.0579261
sculptor	0.0577216
raconteur	0.0576545
connoisseur	0.0575612
clinician	0.0573409
burglar	0.057264
cellist	0.0572366
hacker	0.056885
physicist	0.0567607
Fishermen	0.0567261
musicologist	0.0566997
educator	0.056671
charlatan	0.0559993
traveller	0.0557432
Sportsman	0.0550726
daredevil	0.0549981
storyteller	0.0548126
"music lover"	0.0547568
illustrator	0.0546327
cabinetmaker	0.0545546
astronomer	0.0542816
beekeeper	0.0541857
jurist	0.0541549
racer	0.0539962
rappers	0.0539909
schoolgirl	0.0538113
pianist	0.0537587
businesspeople	0.0537581
trader	0.0536041
"North Carolinian"	0.053338
colonist	0.0533364
stockbroker	0.0533187
enthusiast	0.0533171
statesman	0.0533036
Irishmen	0.0532766
Parisian	0.0530751
socialite	0.0529807
misfit	0.0528368
thespian	0.05273
buff	0.0526605
philosopher	0.0525062
theologian	0.0524477
"social scientist"	0.0524022
cartoonist	0.0523817
lover	0.0522908
visionary	0.0522677
pilgrim	0.0521866
archaeologist	0.052137
filmmaker	0.0520775
seamen	0.0520496
twentysomethings	0.0519617
loner	0.0518798
zoologist	0.0518565
schemer	0.0517876
emigrant	0.0517355
conservationist	0.0516486
worshiper	0.0516433
academician	0.05162
eccentric	0.051606
swashbuckler	0.0515928
songwriter	0.0515653
rogue	0.0515353
dilettante	0.0515262
revolutionary	0.051517
innovator	0.051358
cyclist	0.0512605
nomad	0.0511969
dancer	0.0510486
Taiwanese	0.0509508
navigator	0.0509475
archeologist	0.0509058
"computer programmer"	0.0508256
anarchist	0.0507517
sportsmen	0.0507171
mushers	0.0506997
thinker	0.0506745
techies	0.0506232
animators	0.050607
gambler	0.0505997
agronomist	0.0505012
fanatic	0.0503915
emigre	0.0503565
artisan	0.0503339
idealist	0.05029
chronicler	0.050244
Programmer	0.0501442
wonk	0.0501173
essayist	0.0500639
"army officer"	0.0499658
Striver	0.0499475
firemen	0.0499224
"policy maker"	0.0498611
"landscape architect"	0.0498593
infantrymen	0.0498137
rescuer	0.0497622
"sea captain"	0.0497264
architect	0.049722
"major leaguer"	0.0496263
"film star"	0.0496035
biologist	0.0493204
colonizer	0.0492879
salesmen	0.0492676
cameramen	0.049224
parachutist	0.0491986
Englishwoman	0.0491472
enterpreneurs	0.0491457
bikers	0.049143
"merchant ship"	0.0491208
gymnast	0.0491011
"hockey player"	0.0490592
"secret agent"	0.0490546
"medical specialist"	0.0490076
choreographer	0.0490011
"law student"	0.0490002
reveler	0.048891
Englishman	0.0488419
"chess player"	0.0488052
baby-boomers	0.0486832
"jazz musician"	0.0486045
Amateur	0.048582
Playwright	0.0485619
friar	0.0485335
))
(adventurism (desc 2099.47) (sims
"sphere of influence"	0.123057
expansionism	0.0934969
aggression	0.0830872
hegemonism	0.0777655
provocation	0.0734958
Presense	0.0715493
Indiscipline	0.0706886
hegemony	0.0694113
misrule	0.0689688
thuggery	0.0649217
coercion	0.0628589
promiscuity	0.0624384
"intelligence operation"	0.0607551
build-up	0.0599539
"wonder drug"	0.0590766
one-upmanship	0.0583246
"hanky panky"	0.0576583
putsch	0.0574814
metropolises	0.057214
airstrike	0.0569491
destabilization	0.0568358
aggressor	0.0564765
noncompliance	0.0561268
factionalism	0.0555129
sadism	0.0554215
litigant	0.0551746
brinkmanship	0.054371
"arms race"	0.0542319
vandalism	0.0540561
hooliganism	0.0540265
dishonesty	0.0537163
"inferiority complex"	0.0536892
"Taiwan Independence"	0.0535988
minder	0.0534504
"possible action"	0.0529842
shoplifter	0.0529119
expedient	0.052873
mutilation	0.0526267
"bank failure"	0.052396
"military capability"	0.0517155
maltreatment	0.0515918
brinksmanship	0.0515606
weaponization	0.0514786
"expansion plan"	0.051298
"juvenile delinquency"	0.0512727
incursion	0.0510441
victimization	0.0507966
selfishness	0.050387
peccadillo	0.0498783
"sour grapes"	0.0497832
incitement	0.049693
trespasser	0.0495823
indecency	0.0492599
STDs	0.0492354
cannibalism	0.0487632
"military mission"	0.0481717
imperialism	0.0481522
shoplifting	0.048103
de-escalation	0.0479063
"military campaign"	0.0478055
"fox hunting"	0.0476841
barbarity	0.047525
"political boss"	0.0475208
superiority	0.0473952
strongmen	0.0473277
bullishness	0.0472587
intransigence	0.0470313
oppression	0.0470176
scalpers	0.0467141
disharmony	0.0463919
misbehavior	0.046268
banditry	0.0460419
crossers	0.0455841
lawlessness	0.0455248
annexation	0.0452532
"securities fraud"	0.0451625
"air attack"	0.0451608
double-entendres	0.0451155
firepower	0.0451028
adventurer	0.045066
gunplay	0.0449165
"proxy fight"	0.044704
belligerence	0.0446947
"tax evasion"	0.0446833
mishandling	0.0446384
manoeuvre	0.0446295
"chemical warfare"	0.0446235
"ground attack"	0.0446154
mistreatment	0.0445652
"missionary work"	0.044538
slipup	0.0444145
extremism	0.0443558
encroachment	0.0441226
heliport	0.0440415
downturns	0.0439749
reprisal	0.0439687
recidivism	0.0438619
foot-dragging	0.0436079
eventuality	0.0435634
"business interest"	0.0434476
impropriety	0.0434458
transcendence	0.0434261
preeminence	0.0433212
"torpedo boat"	0.0431989
contingency	0.0431186
rowdiness	0.0430893
"double standard"	0.0430354
"alcohol abuse"	0.0430136
separatism	0.042944
insinuation	0.0426955
stupidity	0.0426385
inhumanity	0.0424192
wrongdoer	0.0422859
"line of questioning"	0.0419653
"early warning system"	0.041923
soulmate	0.041919
rejoicing	0.0416892
malpractice	0.0415495
"spy satellite"	0.0414416
activism	0.0413711
criminality	0.041336
hubris	0.0410521
"business activity"	0.0407761
carelessness	0.0407707
"free zone"	0.0407036
"direct action"	0.0407029
misdeed	0.0406009
"Sustainable Development"	0.0405007
sloppiness	0.0404684
inspectorate	0.0404486
"military headquarters"	0.0404386
troublemaker	0.0404291
indiscretion	0.0404176
"nuclear-powered submarine"	0.0403451
self-interest	0.0402901
stonewalling	0.0402244
subversion	0.0401881
peace-building	0.040174
naysayer	0.0400965
"scientific theory"	0.0400492
malaise	0.0400488
))
(adversary (desc 24872.9) (sims
enemy	0.148157
foe	0.14763
ally	0.117147
antagonist	0.105699
opponent	0.101292
rival	0.0994081
detractor	0.0824021
neighbor	0.0796585
supporter	0.0787848
competitor	0.0730329
partner	0.0725534
"trading partner"	0.0693084
accuser	0.0692053
terrorist	0.069
critic	0.0668726
Republican	0.0664689
advocate	0.0658836
skeptic	0.0654666
challenger	0.0648004
politician	0.0639936
Communist	0.0639076
conservative	0.0637082
backer	0.063488
Serbs	0.0632252
rebel	0.0626
superpower	0.0623264
nemesis	0.061708
aggressor	0.0616746
opposition	0.0615061
interlocutor	0.0613778
Democrat	0.0607357
extremist	0.0606558
Arab	0.0601219
guerrilla	0.0600345
"nuclear power"	0.0597737
activist	0.0596178
reformer	0.0594201
"soul mate"	0.0591484
mentor	0.0591419
liberal	0.0588364
nationalist	0.0579504
moderate	0.0578012
hard-liner	0.0576985
comrade	0.057634
patron	0.0559991
colleague	0.0558944
contender	0.0555267
participant	0.0547429
criminal	0.0542549
attacker	0.054132
legislator	0.0540341
operative	0.0540335
battleground	0.0538448
pariah	0.0537973
lawmaker	0.0535754
senator	0.0534053
combatant	0.0532504
regime	0.0529584
employer	0.0529001
collaborator	0.0528577
citizen	0.0526223
"each other"	0.0524507
acquaintance	0.0524031
confidant	0.0523733
loyalist	0.0523695
fighter	0.0520501
Saddam	0.0519841
proponent	0.0517428
Israeli	0.0517334
prosecutor	0.0516399
benefactor	0.0514762
Milosevic	0.0514123
entity	0.051302
despot	0.0511983
protector	0.0510501
"first lady"	0.0509096
villain	0.0508669
"bad guy"	0.050741
client	0.0506086
Killer	0.0505449
centrist	0.0503776
militia	0.0503436
militant	0.0503403
faction	0.0502619
ruler	0.0502411
insurgent	0.0501435
ideologue	0.0499798
pursuer	0.049932
dictator	0.0499065
Russian	0.049884
investor	0.0498058
mediator	0.0496277
"world power"	0.0493326
Alliance	0.0491778
crony	0.0490424
defender	0.0490283
journalist	0.0487774
"labor union"	0.0487527
outsider	0.0487161
"John McCain"	0.0486356
"elected official"	0.0485726
"Saddam Hussein"	0.0485663
neighbour	0.0485259
troublemaker	0.0485057
"political leader"	0.0484604
protester	0.0484154
leadership	0.0483344
anachronism	0.0481925
donor	0.0481759
NATO	0.0481528
partisan	0.0481371
McCain	0.0479923
"major power"	0.0478694
"role model"	0.0478541
dissident	0.0478085
peer	0.0477104
admirer	0.0476895
leftist	0.0476543
creditor	0.0475317
Syrian	0.0475143
environmentalist	0.0474954
constituent	0.0473672
incumbent	0.0473414
supplier	0.0470946
Catholic	0.047084
"trial lawyer"	0.0470252
campaigner	0.0469946
radical	0.0468804
Iran	0.0468718
bloc	0.0468652
"flash point"	0.0468495
surrogate	0.0468113
folk	0.0468098
European	0.0466975
nominee	0.0466535
heir	0.0466118
tyrant	0.0464802
adviser	0.0463808
Jew	0.0463129
pawn	0.0461816
hacker	0.0461708
perpetrator	0.0460585
brethren	0.046056
"North Korea"	0.0459666
"human being"	0.0458758
contributor	0.0458557
strategist	0.0457676
buddy	0.0457163
classmate	0.0456133
interloper	0.045594
spouse	0.0455114
Palestinian	0.0454821
right-winger	0.045482
stalwart	0.0454784
negotiator	0.0454565
traitor	0.0454026
hero	0.0452926
socialist	0.0452846
boss	0.0451718
"power broker"	0.0451615
developer	0.0451544
monopolist	0.0451243
congressmen	0.044934
autocrat	0.0447759
Syria	0.0447234
bureaucrat	0.0447086
"George W. Bush"	0.0447026
separatist	0.0446676
juror	0.0445678
ourselves	0.0445668
follower	0.0445591
"law partner"	0.0445107
evil	0.0444824
corporation	0.0444661
"armed forces"	0.0444358
savior	0.0444278
creature	0.0444073
tactic	0.044397
"Social Democratic Party"	0.0443335
lover	0.0443305
"European nation"	0.04433
Kurds	0.0443291
"cash cow"	0.0442083
Bradley	0.0441686
neutral	0.0441624
obstacle	0.0441004
"Sinn Fein"	0.0440965
"political party"	0.0440501
speculator	0.0439123
"Al Gore"	0.0438961
intellectual	0.0438432
front-runner	0.04382
buyer	0.043764
"Hillary Clinton"	0.043694
"interest group"	0.0436327
aide	0.043629
smuggler	0.0435727
stranger	0.0435135
"public servant"	0.0434209
insider	0.0433632
))
(adversity (desc 13568.3) (sims
hardship	0.115274
trauma	0.110536
tragedy	0.11007
calamity	0.0988967
"bad luck"	0.0970106
stress	0.0959969
uncertainty	0.0938941
crises	0.091306
misfortune	0.0899724
turmoil	0.0893786
setback	0.0886115
difficulty	0.0878178
pain	0.0868143
grief	0.0853332
volatility	0.0848178
downturn	0.0848109
upheaval	0.0847141
slump	0.0838706
disappointment	0.0814302
trouble	0.0811295
devastation	0.0810286
"economic crisis"	0.0802094
instability	0.0795356
turbulence	0.0794776
frustration	0.0792654
confusion	0.07918
catastrophe	0.0784958
misery	0.0784942
shock	0.0782665
disaster	0.0774695
scare	0.0773306
anxiety	0.0769594
obstacle	0.0747442
tumult	0.0745881
heartache	0.0742688
embarrassment	0.0738775
bitterness	0.0728247
discomfort	0.0727484
disruption	0.0719001
Depression	0.071416
"hard times"	0.0713924
controversy	0.0712295
Distress	0.0710132
insecurity	0.0707359
hunger	0.0705918
vicissitude	0.0699919
weakness	0.0693257
emotion	0.0691684
sickness	0.0690998
negativity	0.0690723
humiliation	0.0690295
deprivation	0.0688612
famine	0.0686593
agony	0.0685768
suffering	0.068551
circumstance	0.0685383
anger	0.0684683
letdown	0.0684322
indignity	0.068158
evil	0.0680699
inconvenience	0.0679459
woe	0.0674644
illness	0.0672533
injury	0.0670972
mistake	0.0669304
nervousness	0.0665639
distraction	0.0664241
anguish	0.0663683
strife	0.0663171
"drug problem"	0.066287
epidemic	0.0661361
loneliness	0.0661319
scandal	0.0659747
fluctuation	0.0659565
glitch	0.0657749
complexity	0.0654495
"close call"	0.0653435
"breathing room"	0.0652955
temptation	0.0652122
poverty	0.0651583
hassle	0.0648297
angst	0.0647298
chaos	0.0646297
dislocation	0.0645405
"hard time"	0.064451
passion	0.0643695
hiccup	0.064191
drought	0.0641578
sadness	0.063853
"hard work"	0.0638425
"stage fright"	0.0638423
excitement	0.0638366
fatigue	0.0636835
jitters	0.0636468
isolation	0.0634935
humility	0.0631892
starvation	0.0631814
jealousy	0.0631641
injustice	0.0628308
publicity	0.062624
prejudice	0.0625597
"cash crunch"	0.0625561
heartbreak	0.0623354
"cold weather"	0.0623351
miscue	0.0621811
paralysis	0.0620922
shame	0.0620844
malaise	0.0618871
misstep	0.0617206
travail	0.0616552
stimulation	0.0615799
tension	0.0614792
emergency	0.0613699
fallout	0.0610674
"free time"	0.0608877
criticism	0.0608023
nightmare	0.0604365
demon	0.0603718
reality	0.0603673
rigor	0.0602521
mishap	0.0602098
paradox	0.0600226
sorrow	0.0597617
recession	0.0597315
aggravation	0.0597219
disability	0.0596951
shortage	0.0596928
friction	0.0593645
skepticism	0.0591743
crunch	0.0591094
irritation	0.0590521
notoriety	0.0589609
despair	0.0589466
danger	0.0588565
"liquidity problem"	0.0585692
unrest	0.0582473
Addiction	0.058139
terror	0.0579421
oppression	0.0577654
"good fortune"	0.0577531
inexperience	0.0577304
pitfall	0.0576982
apprehension	0.0575661
craziness	0.0575483
stigma	0.0574064
battering	0.05739
trepidation	0.0573035
ailment	0.0572713
dilemma	0.0572077
variability	0.0571753
Sacrifice	0.0571302
intensity	0.0570937
constraint	0.0570232
tiredness	0.0570049
vulnerability	0.0567745
horror	0.0567058
"bad weather"	0.0565977
provocation	0.0564371
racism	0.0564234
things	0.0562466
self-doubt	0.0562311
resistance	0.056229
misunderstanding	0.0560936
tribulation	0.0559706
disturbance	0.0558648
globalization	0.0558466
doubter	0.0558096
ordeal	0.0555897
degradation	0.0555731
flaw	0.0555469
scrutiny	0.0553966
"back pain"	0.0553586
hype	0.0553572
"spare time"	0.0551302
hostility	0.055109
slowdown	0.0550194
Luck	0.054987
deterioration	0.0547513
Exhaustion	0.0546832
"drug addiction"	0.0544376
terrorism	0.0544235
"health problem"	0.0543893
happiness	0.0543037
complication	0.054282
dissension	0.0541129
exhilaration	0.0539502
hatred	0.0539188
stagnation	0.0538282
"heat wave"	0.0537053
onslaught	0.0535844
cynicism	0.0535696
rivalry	0.0535037
unemployment	0.0533615
stimuli	0.0532234
interruption	0.0532054
earthquake	0.0531373
downsizing	0.0530588
stamina	0.0530167
"mental illness"	0.0529942
outrage	0.0528888
))
(advertisement (desc 71636.9) (sims
AD	0.301525
Advertising	0.214991
commercial	0.201821
"advertising campaign"	0.142308
"newspaper ad"	0.135962
"TV commercial"	0.1303
"ad campaign"	0.128648
"newspaper advertisement"	0.128078
poster	0.123241
billboard	0.122079
brochure	0.120949
article	0.113754
mailings	0.107965
message	0.099337
headline	0.0961808
catalog	0.0942653
photograph	0.0934724
campaign	0.0932781
video	0.0931574
letter	0.0926349
Promotion	0.0920128
speech	0.091745
editorial	0.091413
logo	0.0910894
page	0.0906199
programming	0.0905311
interview	0.0904165
picture	0.0898681
print	0.0895638
report	0.0894317
publication	0.0892517
book	0.0889754
story	0.0882882
marketing	0.0874878
image	0.0871459
photo	0.0863462
cartoon	0.0859971
coverage	0.085326
column	0.0852172
commentary	0.0849218
pamphlet	0.0840389
slogan	0.0829373
document	0.0824333
Mail	0.0823159
banner	0.0821328
statement	0.0815353
leaflet	0.0804803
program	0.0803369
magazine	0.0800465
information	0.079385
flier	0.079265
publicity	0.0790967
"phone call"	0.078626
broadcast	0.0785458
newsletter	0.0783377
listing	0.0782854
propaganda	0.0778522
"promotional material"	0.0770983
product	0.0768073
essay	0.0765839
sign	0.0765185
movie	0.0763959
site	0.0763234
sticker	0.0757735
announcement	0.0755004
email	0.0752809
film	0.0749557
material	0.0747645
merchandise	0.0744351
memo	0.0740953
news	0.0736944
comment	0.0736456
address	0.0733921
activity	0.0733846
content	0.0731739
feature	0.0730899
documentary	0.0728485
"news report"	0.0728275
item	0.0723534
display	0.072209
clip	0.0721368
text	0.0710734
"news release"	0.0710532
account	0.0708398
remark	0.0705671
obituary	0.0702407
guide	0.0698258
service	0.0697814
videotape	0.0695774
"newspaper article"	0.069543
"talk show"	0.0694244
donation	0.0693867
spot	0.0693468
Entertainment	0.0691492
data	0.0690374
warning	0.0688435
presentation	0.0688325
"news story"	0.0688216
paper	0.0684806
profile	0.0679797
special	0.0679083
exhibit	0.0677333
sponsorship	0.0674293
"press release"	0.0673139
music	0.0673132
"marketing campaign"	0.0670811
software	0.0669783
"telephone call"	0.0669283
application	0.0666341
endorsement	0.066508
recipe	0.0660483
map	0.0660126
Song	0.0660103
newspaper	0.065774
version	0.065683
card	0.0655915
poll	0.0654743
lawsuit	0.0653725
appearance	0.0653342
placard	0.0653142
television	0.0650656
literature	0.0650145
solicitation	0.0649431
note	0.0647509
tactic	0.0646876
research	0.0644908
design	0.0644174
coupon	0.0642481
artwork	0.0642479
testimony	0.0641537
transaction	0.0639948
"television show"	0.0639014
criticism	0.0638901
proposal	0.063882
sale	0.0638517
petition	0.0636506
painting	0.0636122
label	0.0635821
"sales pitch"	0.0634649
review	0.0632849
advertiser	0.0632248
blitz	0.063148
textbook	0.0630532
package	0.0626072
word	0.0625942
piece	0.062539
collection	0.0624452
debate	0.0624158
strategy	0.0623519
copy	0.0622649
packaging	0.062211
event	0.0619595
footage	0.0619507
pornography	0.0617498
"TV show"	0.0617314
media	0.0615863
"television program"	0.0615744
analysis	0.061544
campaigning	0.061465
drawing	0.061388
money	0.0613853
list	0.0613552
business	0.061077
survey	0.061059
sculpture	0.0610556
initiative	0.0609946
Recording	0.0609823
booklet	0.0609296
infomercial	0.0608428
offering	0.0608327
fee	0.0608008
study	0.0607519
graphics	0.0606122
description	0.0605729
postings	0.0604604
tape	0.0604035
question	0.0603112
ticket	0.0603032
biography	0.0602584
shopping	0.0602261
button	0.0600829
"magazine article"	0.0600391
illustration	0.0598806
script	0.0598595
stamp	0.0598427
device	0.0596986
complaint	0.0595162
"TV program"	0.0594109
language	0.0593895
channel	0.0593775
writing	0.0593238
contest	0.0593068
Exhibition	0.059301
notice	0.0592817
operation	0.0592001
series	0.059193
appeal	0.0590671
conversation	0.0590353
directory	0.059004
questionnaire	0.0589808
))
(advertiser (desc 44588.8) (sims
marketers	0.165006
consumer	0.147764
retailer	0.140066
investor	0.136733
customer	0.133656
buyer	0.132039
manufacturer	0.12434
developer	0.122172
sponsor	0.121716
employer	0.118906
user	0.118514
viewer	0.117073
corporation	0.115438
company	0.115385
client	0.113341
Reader	0.110287
merchant	0.108937
publisher	0.107691
distributor	0.107396
shopper	0.106712
provider	0.106292
filmmakers	0.104743
collector	0.102287
supplier	0.1015
"venture capitalist"	0.101486
broadcaster	0.099627
seller	0.0989999
voter	0.0976483
producer	0.0973705
vendor	0.0963056
public	0.0961003
automakers	0.0951815
audience	0.0950361
donor	0.0949086
listener	0.0944962
lender	0.0940235
maker	0.0938276
entrepreneur	0.093671
taxpayer	0.0932254
subscriber	0.0931573
Advertising	0.0922823
shareholder	0.0913897
bookseller	0.0909646
owner	0.090333
homeowner	0.0897357
farmer	0.0896632
traveler	0.0894747
firm	0.0893483
designer	0.0890963
fan	0.0890814
trader	0.0884671
dealer	0.0883552
airline	0.0879743
insurer	0.0878004
exhibitor	0.0864469
businessmen	0.0863157
competitor	0.0862204
Programmer	0.0861952
politician	0.0855639
contractor	0.0850403
bidder	0.0848515
operator	0.0843283
regulator	0.0842415
grower	0.0836632
lawmaker	0.0835339
broker	0.0831201
"cable operator"	0.0829545
wholesaler	0.08292
exporter	0.0826552
"insurance company"	0.0826059
business	0.082575
executive	0.0820542
tourist	0.0818673
"advertising agency"	0.0805914
ISPs	0.080175
visitor	0.0794786
multinationals	0.0794027
importer	0.0793593
"financial institution"	0.0790716
surfer	0.07869
American	0.0785543
"business leader"	0.0784034
shipper	0.0782951
tenant	0.0782705
individual	0.0774225
media	0.0773232
constituent	0.0772774
dot-coms	0.0772377
artist	0.0772056
resellers	0.0770609
issuers	0.0768304
underwriter	0.0764966
employee	0.0764733
moviegoer	0.0763432
critic	0.0762886
folk	0.0762353
resident	0.0760618
parent	0.0760267
"business community"	0.0755345
Portal	0.0754262
Republican	0.0753659
environmentalist	0.0751061
journalist	0.0748923
theatergoer	0.0747345
creditor	0.0746389
"home buyer"	0.0743143
Democrat	0.073941
participant	0.07306
borrower	0.0726876
bank	0.0725866
professional	0.0724343
industry	0.0722701
scientist	0.0721866
promoter	0.0719261
"federal government"	0.0718749
"toy retailer"	0.0716392
carrier	0.0714914
worker	0.0710835
"phone company"	0.0706276
"brokerage firm"	0.0705904
refiner	0.0705823
enthusiast	0.0705179
outlet	0.0703615
reviewer	0.0703273
student	0.0702201
"labor union"	0.07021
player	0.070141
writer	0.0700971
"interest group"	0.0700177
"market participant"	0.069733
banker	0.0697018
landowner	0.0695307
"business executive"	0.0694237
"business traveler"	0.0691896
researcher	0.0691016
community	0.0688301
network	0.0687185
foreigner	0.0685008
everyone	0.0683711
contributor	0.0681715
teens	0.0679579
utility	0.0679037
"school district"	0.0678306
agency	0.0677802
lobbyist	0.0677767
patron	0.0677462
legislator	0.0676487
local	0.0676472
celebrity	0.067432
"radio station"	0.067264
athlete	0.067051
doctor	0.0669698
recruiter	0.0668838
caller	0.0667844
brand	0.066783
manager	0.0667783
"political party"	0.0667768
youngster	0.066296
purchaser	0.0662613
performer	0.0662248
organization	0.0661946
HMO	0.0661878
anyone	0.0660544
"auto maker"	0.0659538
musician	0.0659302
partner	0.0658886
retiree	0.065722
giant	0.0656528
policyholder	0.0655233
analyst	0.0652471
candidate	0.0652437
advocate	0.0652309
"television network"	0.0651557
"baby boomer"	0.0647407
bottlers	0.0647124
"telephone company"	0.06446
builder	0.0643053
outsider	0.0641059
stockholder	0.0640559
startup	0.0639913
others	0.0639362
AD	0.06391
nonprofits	0.0637718
e-tailers	0.0635254
"corporate executive"	0.0634847
conservative	0.0634508
citizen	0.0632809
advertisement	0.0632248
Russian	0.0631075
union	0.0630596
NIKE	0.0630455
"ad agency"	0.062881
franchisees	0.0627184
educator	0.0625913
backer	0.0625257
patient	0.0625035
"news media"	0.0623118
"Wall Street analyst"	0.0622244
studio	0.0621812
Israeli	0.0620194
))
(Advertising (desc 100791) (sims
AD	0.226597
advertisement	0.214991
marketing	0.195919
commercial	0.155929
"advertising campaign"	0.133608
Promotion	0.130728
programming	0.126682
sale	0.122337
Entertainment	0.121618
sponsorship	0.114288
banking	0.111846
business	0.111416
distribution	0.110445
service	0.110257
coverage	0.110223
e-commerce	0.110048
commerce	0.10893
publicity	0.108721
publishing	0.106951
research	0.106485
"ad campaign"	0.10584
education	0.105076
merchandising	0.104572
technology	0.103863
software	0.103289
activity	0.102813
communication	0.102559
mailings	0.101994
investment	0.101899
financing	0.101625
information	0.100123
media	0.100067
donation	0.0997953
campaign	0.0996265
retailing	0.0994181
merchandise	0.0992699
insurance	0.0992191
program	0.0988204
fee	0.0987958
product	0.0982172
broadcasting	0.0979221
spending	0.0978434
gambling	0.0967362
television	0.0962772
money	0.0960972
transaction	0.0959624
Internet	0.0947802
revenue	0.0944774
music	0.0942144
manufacturing	0.0930555
travel	0.0926053
advertiser	0.0922823
lending	0.0916231
Journalism	0.0914296
content	0.0914028
shopping	0.0912403
"TV commercial"	0.0906938
design	0.0905929
fund	0.0899314
contribution	0.0898837
propaganda	0.0894658
tax	0.0890281
video	0.0889652
pricing	0.0884014
production	0.0883992
strategy	0.0881799
industry	0.0880996
"real estate"	0.0880402
tourism	0.0878246
"health care"	0.087358
operation	0.0873127
purchase	0.0870334
application	0.0868985
billboard	0.0865824
access	0.0860956
pornography	0.0860355
management	0.085714
material	0.085247
"marketing campaign"	0.0851933
art	0.0846816
offering	0.0842285
payment	0.0837116
construction	0.0836854
politics	0.083381
sport	0.0830332
development	0.0828712
trading	0.0828243
news	0.0822997
transportation	0.0816262
food	0.0811908
planning	0.0811848
broadcast	0.0811826
funding	0.0807168
project	0.0802214
"product development"	0.0801451
packaging	0.0800736
"tax cut"	0.0800544
subsidy	0.0800419
finance	0.079984
solicitation	0.0798583
"information technology"	0.0797558
message	0.079623
trade	0.0794321
selling	0.0793272
incentive	0.0788827
"marketing effort"	0.0788651
Mail	0.0788573
"venture capital"	0.0784157
campaigning	0.0781929
borrowing	0.0781043
Gaming	0.0779963
litigation	0.0778664
movie	0.0777964
market	0.0775026
telecommunication	0.0773857
"customer service"	0.0773695
TV	0.0772827
retail	0.0771964
acquisition	0.0771402
company	0.076972
buying	0.076966
subscription	0.0767909
import	0.0765785
practice	0.0765024
medicine	0.0762945
system	0.076195
site	0.0761666
testing	0.0759027
drug	0.0758815
goods	0.0758776
account	0.075641
magazine	0.0755564
policy	0.0754389
agriculture	0.0754106
publication	0.0753375
ticket	0.0752479
Computer	0.0751371
traffic	0.0750327
writing	0.0750086
innovation	0.074953
saving	0.0749272
engineering	0.0748816
book	0.0748271
training	0.0745684
cost	0.0745312
film	0.0744678
science	0.0744477
stock	0.0741525
loan	0.0740398
tobacco	0.0738554
email	0.0737593
"information service"	0.0737042
Housing	0.0735288
brand	0.0735158
image	0.0733359
literature	0.0732475
computing	0.0732255
"education program"	0.0732063
scheme	0.0730564
procurement	0.072913
security	0.0728666
culture	0.0728176
data	0.0727303
treatment	0.0725267
expenditure	0.0724705
printing	0.0724379
venture	0.072431
accounting	0.0723473
profit	0.0722537
ownership	0.0721361
resource	0.0721192
hype	0.0721065
consumption	0.0718003
catalog	0.0717917
enforcement	0.071678
reporting	0.0716021
benefit	0.0713255
taxation	0.0712527
behavior	0.0712409
processing	0.0711076
exposure	0.0710953
salary	0.0710923
violence	0.0709797
assistance	0.07075
networking	0.0705884
employment	0.0705825
shipping	0.0704835
tactic	0.0704576
export	0.0704292
parking	0.0704043
consumer	0.0703166
fashion	0.0702408
expense	0.0701528
poster	0.0701394
animation	0.0700391
effort	0.0700295
maintenance	0.070021
initiative	0.0699843
coupon	0.0698823
recruitment	0.0697604
))
("Advertising Age" (desc 2412.15) (sims
"Der Spiegel"	0.202419
"Village Voice"	0.195212
"Washington Times"	0.170784
"Chicago Sun-Times"	0.164941
"New Republic"	0.159045
"Chicago Tribune"	0.157904
"Philadelphia Inquirer"	0.152348
"Detroit News"	0.151882
"Business Week"	0.150797
"New York Observer"	0.150723
"Consumer Reports"	0.150224
"National Journal"	0.149475
"Sydney Morning Herald"	0.149448
"TV guide"	0.148005
Newsday	0.144724
"Miami Herald"	0.142756
"USA TODAY"	0.142642
Newsweek	0.141452
"New York Review"	0.141373
"Atlantic Monthly"	0.141267
"Dallas Morning News"	0.140299
"Austin American-Statesman"	0.138448
"Rolling Stone"	0.13834
"New York Post"	0.137991
"Daily Telegraph"	0.137118
"Wall Street Journal"	0.136305
"El Mundo"	0.134896
"Des Moines Register"	0.133103
"Financial Times"	0.131515
"American Journal"	0.130521
"World Report"	0.130254
"Washington Post"	0.130133
Haaretz	0.128684
"Weekly Standard"	0.12635
"New England Journal"	0.126348
"Los Angeles Times"	0.125735
"Le Monde"	0.125238
Esquire	0.124868
"New Straits Times"	0.12398
Redbook	0.122819
"San Antonio Express-News"	0.122537
"Le Figaro"	0.122502
Itogi	0.122334
"St. Louis Post-Dispatch"	0.120618
"New York Herald Tribune"	0.120463
"U.S. News"	0.119296
"trade publication"	0.11727
"San Francisco Chronicle"	0.116799
Star-Ledger	0.116473
"San Jose Mercury News"	0.116104
"Orange County Register"	0.114596
"New York Daily News"	0.114584
"International Herald Tribune"	0.114512
"Sports Illustrated"	0.114291
"Martha Stewart Living"	0.114091
Lancet	0.112699
"Denver Post"	0.112162
"Entertainment Weekly"	0.111069
"Houston Chronicle"	0.109751
Star-Telegram	0.109502
"vanity fair"	0.109338
"Daily Mail"	0.107651
DNR	0.107474
"Atlanta Constitution"	0.107314
"International Business Daily"	0.107238
L'Equipe	0.106674
"Kansas City Star"	0.106333
"Yediot Ahronot"	0.106135
GQ	0.105243
"New York Times"	0.105111
Granma	0.104219
"Atlanta Journal-Constitution"	0.103847
"New York Times Magazine"	0.103678
"Detroit Free Press"	0.103159
"San Francisco Examiner"	0.102493
"National Geographic"	0.10091
"Cincinnati Enquirer"	0.100748
telegraph	0.0990496
"Good Housekeeping"	0.0978769
"Evening Standard"	0.0977963
vogue	0.0974888
Maariv	0.0966531
"roll call"	0.0964158
"Hartford Courant"	0.0959752
"Atlanta Journal"	0.0954364
Elle	0.0951785
"Koha Ditore"	0.0942665
"Boston Globe"	0.0940977
"Hollywood Reporter"	0.0932719
"Moscow Times"	0.0926194
"Sporting News"	0.0917285
"Fast Company"	0.0913536
almanac	0.0892365
"Straits Times"	0.0890824
"Fort Worth Star-Telegram"	0.0882288
"New York Times Book Review"	0.0881582
OED	0.0878941
"Arizona Republic"	0.0870681
Times	0.0857217
"Foreign Affairs"	0.08536
"Seattle Times"	0.0852284
"Boston Herald"	0.0848378
"Palm Beach Post"	0.084608
"Bureau of Labor Statistics"	0.0841021
"Baseball America"	0.0830821
gazette	0.0827134
JAMA	0.0819571
"Wear Daily"	0.0808555
"Jerusalem Post"	0.0805907
"National Enquirer"	0.0804509
"South China Morning Post"	0.0797953
"National Post"	0.0795446
Al-Ahram	0.0783303
"Guinness Book"	0.0780831
"Teen People"	0.0779623
newsletter	0.07795
"Daily News"	0.077927
"Yomiuri Shimbun"	0.0771101
"Business Weekly"	0.076551
"Seattle Post-Intelligencer"	0.076162
"U.S. Labor Department"	0.0760978
"Free Press"	0.0760268
"U.S. Commerce Department"	0.07573
"Business Times"	0.0755054
BS	0.0753189
Inquirer	0.0740914
Mademoiselle	0.0736697
"Guangming Daily"	0.0732704
Oregonian	0.0732509
bulletin	0.0731976
newsweekly	0.0728421
"red herring"	0.0725307
yearbook	0.071822
Reforma	0.0713286
"Bloomberg News"	0.0710415
"tabloid newspaper"	0.0701116
"El Pais"	0.0700143
"Beijing Youth Daily"	0.0699703
Bild	0.0694931
Kommersant	0.0691585
cosmopolitan	0.0690959
Politika	0.0688618
Enquirer	0.068655
ISTAT	0.068538
"Egyptian Middle East News Agency"	0.0684771
playboy	0.0683052
"smart money"	0.0682575
"Center for Responsive Politics"	0.0678016
maxim	0.0669249
tabloid	0.0665553
Macworld	0.0661229
"Nielsen Media Research"	0.0642757
"Macao Daily News"	0.0639976
Spiegel	0.063861
"reference work"	0.0625618
"National Highway Traffic Safety Administration"	0.0619712
hustler	0.0617856
"Hearst Newspapers"	0.0612723
Barron	0.0611518
"Asahi Shimbun"	0.0609655
al-Hayat	0.0607983
"Kuwait News Agency"	0.0606267
"General Accounting Office"	0.0601825
"Iran News"	0.059766
Salam	0.0595272
Kyodo	0.0591849
"Daily Racing Form"	0.0590205
"Transparency International"	0.0587937
"yellow pages"	0.0587878
MTI	0.0587703
Guardian	0.0586691
Lusa	0.0585589
Eurostat	0.0583991
"Wenhui Daily"	0.0564942
"Nihon Keizai Shimbun"	0.0562566
"Ethiopian News Agency"	0.056108
periodical	0.0557976
"Central Bureau of Statistics"	0.0557223
"Economic Planning Agency"	0.0556811
"Wen Wei Po"	0.0555874
"Dayton Daily News"	0.0554219
"Forrester Research"	0.0551719
"Australian Associated Press"	0.0546083
"United Press International"	0.0545779
"Dow Jones Newswires"	0.0545375
Post-Intelligencer	0.0545164
Mirabella	0.054515
"China Youth Daily"	0.054481
"Ethiopian Herald"	0.0543371
"Modern Library"	0.0540773
ESPN.com	0.0539276
"newspaper column"	0.0536567
newsmagazine	0.053378
Tennessean	0.0533265
"East African"	0.0529171
"Al Ahram"	0.0529
Notimex	0.05275
guidebook	0.0518215
"Nhan Dan"	0.051796
"Al Hayat"	0.0517267
))
("advertising agency" (desc 11507.3) (sims
"ad agency"	0.270607
"trucking company"	0.123633
"publishing company"	0.119455
"consulting firm"	0.110814
"brokerage house"	0.109641
"accounting firm"	0.107814
"brokerage firm"	0.103371
"publishing house"	0.0962828
"travel agency"	0.0956183
"TV station"	0.0947298
brokerage	0.093895
"McKinsey &AMP; Co."	0.0918749
"trade association"	0.0893401
McCann-Erickson	0.0883212
"radio station"	0.0882865
"shipping company"	0.0868282
brewery	0.0858312
"consulting company"	0.0853165
"auction house"	0.0834645
"bus company"	0.0830041
"Fallon McElligott"	0.0826421
"television station"	0.0822821
"movie studio"	0.0812394
distributor	0.0806942
advertiser	0.0805914
"literary agent"	0.0804901
"television network"	0.0804401
"Mather Worldwide"	0.0800714
"Andersen Consulting"	0.0788515
"management consultant"	0.0786877
"retail operation"	0.0784367
"employment agency"	0.0760954
"telephone company"	0.074841
"jewelry store"	0.0744227
"International Management Group"	0.0743471
"art school"	0.074265
stockbroker	0.0742401
bookstore	0.0740623
dealership	0.0734168
"insurance company"	0.0731272
"life insurer"	0.0730678
"food company"	0.0729722
wholesaler	0.0728596
developer	0.0728099
"machine shop"	0.072589
bookseller	0.0724667
"electronics company"	0.0723551
"auto maker"	0.0719899
"nonprofit organization"	0.0718998
"home builder"	0.0716032
provider	0.0715815
"department store"	0.0715029
"banking company"	0.0712403
"opera company"	0.0712392
"printing company"	0.070786
retailer	0.0704971
"cable operator"	0.070055
"insurance firm"	0.0700474
corporation	0.0699583
"mining company"	0.0698718
publisher	0.0694701
supplier	0.0691967
bottlers	0.0689648
shipyard	0.068818
winery	0.0685962
"auto company"	0.0684473
broadcaster	0.0683713
"retail chain"	0.0676669
"investment house"	0.0673957
"investment trust"	0.0672673
"futures exchange"	0.0672571
insurer	0.0669759
"liquor store"	0.066914
automakers	0.0668543
subcontractor	0.0668416
"toy retailer"	0.0666451
steelmaker	0.0666273
"delivery service"	0.0662326
affiliate	0.0660617
"investment adviser"	0.0660496
"toy store"	0.0659078
"real estate developer"	0.0657274
"phone company"	0.0656955
grocer	0.0656578
"steel company"	0.06527
resellers	0.0651033
"medical institution"	0.0650438
"clothing store"	0.0649988
startup	0.0648979
"TV network"	0.0644193
"Salomon Brothers"	0.0643429
"software maker"	0.0641795
Litigator	0.0641318
shipbuilder	0.0640051
"funeral home"	0.0639561
subsidiary	0.0638966
"private foundation"	0.0637459
"defense contractor"	0.0637375
carmakers	0.0632093
"grocery store"	0.0631676
"Hollywood studio"	0.0631433
broker	0.063078
marketer	0.0629019
jeweler	0.0628666
"business organization"	0.0624541
drugstore	0.0622981
"Saatchi &AMP; Saatchi"	0.0619561
"investment firm"	0.0617683
"subsidiary company"	0.0616954
smelter	0.0616707
"Planned Parenthood"	0.0616673
manufacturer	0.0616406
"furniture company"	0.0616294
caterer	0.0613895
"business development"	0.0613663
"repair shop"	0.0612694
"financial institution"	0.0610632
"post office"	0.0610565
Pharmacy	0.0609018
"Federal Reserve Bank"	0.0608698
"pizza parlor"	0.0607322
studio	0.0604893
Programmer	0.0604037
"chain store"	0.0603907
bottler	0.060356
designer	0.0603232
"electric company"	0.0598021
contractor	0.0597317
"retail store"	0.0596333
refiner	0.059592
"investment banker"	0.0594493
"service station"	0.0593676
ISPs	0.0590886
conglomerate	0.059085
mortuary	0.0587608
"brokerage account"	0.0587257
"Chase Manhattan Bank"	0.0585507
"think tank"	0.058526
"Ernst &AMP; Young"	0.0583354
consultancy	0.0583219
"art dealer"	0.0582324
"Services division"	0.0581988
Sotheby's	0.0581843
dealerships	0.0580892
pollster	0.0580838
merchant	0.058027
automaker	0.0580084
florist	0.0579156
auctioneer	0.0578417
"Jupiter Communications"	0.0576004
publicist	0.0573316
salon	0.0573179
"travel agent"	0.0570745
"phone book"	0.0570172
"theater company"	0.0569788
consortia	0.0569717
architect	0.0568868
"school district"	0.0568677
marketers	0.0568026
"Merrill Lynch"	0.0567466
"department store chain"	0.0566902
"symphony orchestra"	0.0566881
"Anti-Defamation League"	0.0565639
troupe	0.0565238
landlord	0.0563727
boutique	0.0563041
"American Jewish Committee"	0.0561746
"Credit Suisse First Boston"	0.0561596
shipper	0.056156
multinationals	0.0561538
"car manufacturer"	0.0560622
"film producer"	0.056047
"educational institution"	0.0560277
"shoe store"	0.0559431
"research center"	0.0559334
"finance company"	0.055843
"nursing home"	0.0558247
"auto manufacturer"	0.0557796
"art gallery"	0.05575
"insurance broker"	0.0557347
"chamber of commerce"	0.0557269
philanthropist	0.0556481
"cable system"	0.0554965
"transportation company"	0.0554752
Advertising	0.0554464
consultant	0.055441
merchandiser	0.0553385
"Donaldson, Lufkin &AMP; Jenrette"	0.0553205
"power company"	0.0552112
railroad	0.0551941
outlet	0.055143
"interior designer"	0.055114
"flour mill"	0.05505
Citibank	0.0548731
"sports fan"	0.0548204
"specialty store"	0.0547779
"Neiman Marcus"	0.0547597
"manufacturing plant"	0.054671
"venture capitalist"	0.0546134
"law practice"	0.0544079
))
("advertising campaign" (desc 20219.3) (sims
"ad campaign"	0.262245
"marketing campaign"	0.2056
"ad blitz"	0.181156
advertisement	0.142308
AD	0.138036
Advertising	0.133608
"fund-raising campaign"	0.130865
commercial	0.123105
"marketing effort"	0.117245
blitz	0.10854
"pilot program"	0.106581
"fund-raising drive"	0.105269
"TV commercial"	0.0952371
"education program"	0.0936617
"bond issue"	0.0882162
"educational program"	0.0872071
"training program"	0.0872041
"marketing program"	0.0871381
"political campaign"	0.0837371
facelift	0.0831167
renovation	0.0822345
"expansion plan"	0.0819943
"rehabilitation program"	0.0819192
initiative	0.0818633
"newspaper advertisement"	0.0818522
programme	0.0800123
marketing	0.0773703
overhaul	0.0758438
mailings	0.0751378
"newspaper ad"	0.0750829
"military campaign"	0.0743412
Promotion	0.0740932
"enforcement action"	0.0724508
makeover	0.0716117
strategy	0.0702962
"war game"	0.069474
"master plan"	0.0694601
"monitoring program"	0.0689671
redesign	0.0687506
reorganization	0.0685448
extravaganza	0.0683721
venture	0.0676709
billboard	0.0669419
"military drill"	0.06683
offering	0.0666908
"bond offering"	0.0663569
"road show"	0.0660842
counter-offensive	0.0652347
cleanup	0.0651841
"war chest"	0.064536
rollout	0.0643922
package	0.0642572
"stock buyback"	0.0641918
programming	0.0639875
airlift	0.063481
scheme	0.063422
"development plan"	0.0633669
exhibit	0.0629216
spree	0.0629183
Portal	0.0628686
"covert operation"	0.0626033
publicity	0.0625626
Exhibition	0.0621169
ploy	0.0621128
"arms deal"	0.0618628
buyout	0.061416
manhunt	0.0613452
"tax cut"	0.0612728
lawsuit	0.0611233
propaganda	0.0605451
offensive	0.0605081
"missile defense system"	0.0602376
"relay stations"	0.0601301
catalog	0.0599828
expansion	0.059922
bailout	0.0596529
"operating budget"	0.0589322
"water project"	0.058359
"investment fund"	0.0582369
"rating system"	0.0577983
crackdown	0.0575671
boycott	0.0574019
"tax break"	0.0573654
"incentive program"	0.0572635
"tax increase"	0.057157
Website	0.0570956
Ordinance	0.0569374
coverage	0.0569187
"initial public offering"	0.0568912
crusade	0.0568713
"distribution network"	0.0567022
payout	0.0564743
"reorganization plan"	0.0563517
endowment	0.0563104
"tax hike"	0.0562793
"face lift"	0.0560482
stunt	0.0558517
refurbishment	0.0556802
contest	0.0554595
fund-raiser	0.05542
endeavor	0.0552417
publication	0.0551042
"surveillance system"	0.0550021
tactic	0.0549206
campaigning	0.054804
barrage	0.0546428
payday	0.0541511
"computer program"	0.054131
buyback	0.054104
"legal action"	0.0539751
outlay	0.0537604
"line of credit"	0.0537351
roadshow	0.0537347
acquisition	0.0536851
festival	0.0536299
"Human Genome Project"	0.0535909
sponsorship	0.0532554
undertaking	0.0531534
"compromise plan"	0.0531329
"tax bill"	0.0531241
litigation	0.0530774
IPO	0.0528791
subsidy	0.0528612
"sales force"	0.0528503
"product line"	0.0528167
"market reform"	0.0527289
presentation	0.0526702
"insurance policy"	0.0524586
infomercial	0.0524316
brochure	0.0521895
"takeover attempt"	0.0521587
"air attack"	0.0519597
manoeuvre	0.0518103
"talk show"	0.0517983
Privatization	0.0517932
restoration	0.0517015
dragnet	0.0516746
hunt	0.0516698
maneuver	0.0514541
"business plan"	0.0513862
"hostile takeover"	0.0513093
logo	0.05128
"code of conduct"	0.0512359
probe	0.0511408
"intelligence operation"	0.0510022
"rate cut"	0.0509025
Gambit	0.0508197
PRICETAG	0.0507686
poster	0.0507317
legislation	0.0506243
advocacy	0.0504152
takeover	0.0503764
gamble	0.0502782
"software package"	0.0502161
experiment	0.0501824
announcement	0.0501478
inquiry	0.0499778
tie-in	0.0499543
"military action"	0.0499534
"television show"	0.0498895
"service program"	0.0497775
"endowment fund"	0.0497062
"joint venture"	0.0496828
"primary election"	0.0496118
"news show"	0.0494637
census	0.0494526
curriculum	0.0491451
drill	0.0490025
manifesto	0.0489384
"surprise attack"	0.0489041
expedition	0.0488326
"communications satellite"	0.0487723
counterattack	0.0487718
seminar	0.048558
reconstruction	0.0484539
"software product"	0.0483986
agenda	0.0483706
regimen	0.0479873
"work stoppage"	0.0479783
mobilization	0.0478557
"libel suit"	0.0478476
"economic policy"	0.0477887
"hunger strike"	0.0476991
partnership	0.0476908
"job cut"	0.0475595
outlet	0.047555
"cost cutting"	0.0475431
databank	0.0474332
"tax credit"	0.0472903
"trust fund"	0.0472197
software	0.0471373
"defense system"	0.047122
"new line"	0.0470777
revival	0.0470722
"public works"	0.0470396
auction	0.0470395
"variety show"	0.0470278
gala	0.0468683
"theme park"	0.0468473
deregulation	0.0468447
))
(advice (desc 104528) (sims
guidance	0.148502
information	0.148436
recommendation	0.143824
help	0.135503
opinion	0.131167
tip	0.128891
suggestion	0.128108
instruction	0.125035
comment	0.115406
counseling	0.110783
encouragement	0.110385
message	0.109939
feedback	0.106132
lesson	0.104672
assistance	0.103525
expertise	0.103473
idea	0.0987631
support	0.0986774
input	0.0985204
insight	0.0973875
letter	0.0961896
question	0.0960163
knowledge	0.0957366
answer	0.0951748
wisdom	0.0949591
news	0.0941622
explanation	0.0937836
assurance	0.0929065
warning	0.0921412
data	0.0917584
analysis	0.0908655
assessment	0.0905591
attention	0.0901075
gift	0.0882159
criticism	0.0877795
word	0.087283
care	0.0868966
inspiration	0.0867891
judgment	0.08668
testimony	0.0856235
incentive	0.0852171
note	0.0849949
quote	0.084975
observation	0.0844229
report	0.0838548
money	0.0825243
reassurance	0.0820493
statement	0.081677
detail	0.08105
training	0.0807725
commentary	0.0806844
service	0.0798747
recipe	0.0795711
strategy	0.0793017
skill	0.0792656
experience	0.0788258
proposal	0.0787973
prediction	0.0786734
wish	0.0783238
concern	0.0781677
perspective	0.0773766
description	0.0773732
argument	0.0772412
material	0.0771829
request	0.0769383
story	0.0763849
opportunity	0.0762987
referral	0.0761505
decision	0.0761072
tool	0.0757135
directive	0.0757069
view	0.0754099
complaint	0.0751343
lecture	0.0749012
praise	0.0748605
approach	0.0748058
remark	0.0747693
choice	0.0746615
thought	0.074619
"phone call"	0.0744765
finding	0.0741977
aid	0.0739162
response	0.073609
endorsement	0.0731347
guideline	0.0730678
relief	0.0730529
plea	0.0730468
research	0.0725112
philosophy	0.0720668
info	0.0719659
email	0.0719121
reaction	0.0717626
comfort	0.0717172
option	0.0714243
article	0.0713805
treatment	0.0713096
book	0.0710001
theory	0.0708992
update	0.0707774
guide	0.0707078
prescription	0.070534
emphasis	0.0704889
evidence	0.0704068
anecdote	0.0703228
resource	0.0698154
appeal	0.0696671
technique	0.0693396
evaluation	0.0693044
apology	0.0692738
benefit	0.0691014
review	0.0688904
understanding	0.0688593
policy	0.0687352
discussion	0.068353
solace	0.0682174
credit	0.0681971
education	0.0681334
conclusion	0.0677977
interpretation	0.0675726
responsibility	0.0674749
memo	0.0673462
consolation	0.0669766
talent	0.066961
attitude	0.066947
reference	0.0667965
contribution	0.0664812
"financial aid"	0.0661871
interest	0.066114
access	0.0660746
query	0.0660382
direction	0.0659514
documentation	0.065893
challenge	0.0656347
reporting	0.0654915
consultation	0.0653383
backing	0.0653377
financing	0.0652389
document	0.0651606
signal	0.0651112
content	0.0649624
method	0.0647652
donation	0.0646214
coverage	0.0645789
humor	0.0644421
statistic	0.0643627
notice	0.0643185
thing	0.0642937
objection	0.0641866
program	0.0641195
feeling	0.0639672
intervention	0.0639601
Entertainment	0.0639124
list	0.0639057
permission	0.0638355
thinking	0.0638311
surprise	0.0638015
protection	0.0637953
logic	0.0637781
joke	0.0637661
questionnaire	0.0637336
focus	0.0637151
respect	0.0636713
Advertising	0.0635739
solution	0.0635642
publicity	0.0633983
loyalty	0.0632995
stuff	0.063267
job	0.0632509
know-how	0.0632418
invitation	0.0631869
account	0.063046
feature	0.0629727
motivation	0.0628827
"tax break"	0.0627571
food	0.0626622
reasoning	0.0625193
belief	0.0623925
instinct	0.061987
discount	0.0619746
"medical care"	0.0619687
fact	0.0617873
software	0.0617797
plan	0.0617669
writing	0.061708
approval	0.0616444
ability	0.061641
blessing	0.06156
commitment	0.06139
pronouncement	0.0613712
gossip	0.0612252
action	0.0612069
convenience	0.0610443
profile	0.0610253
effort	0.0609834
intelligence	0.0608943
appointment	0.060839
flexibility	0.0607505
sympathy	0.0607022
application	0.0606498
truth	0.0606443
))
(Advil (desc 1672.11) (sims
acetaminophen	0.230327
Tylenol	0.225669
ibuprofen	0.170157
aspirin	0.122706
antacid	0.11721
anti-inflammatory	0.114233
laxative	0.103179
painkiller	0.0910959
changeups	0.0900074
"water filter"	0.0863472
opiate	0.0862099
curveballs	0.0841845
tenths	0.0823031
"word of advice"	0.0764413
antihistamine	0.0709375
"hundred thousand"	0.0697099
"off-speed pitch"	0.0690938
ballgames	0.0687538
chipmunk	0.0679521
vitamin	0.0666464
band-aid	0.0665909
tranquilizer	0.0665398
"hundred million dollars"	0.0662039
"prescription medicine"	0.0654404
melatonin	0.0645475
earplugs	0.062101
firsts	0.0617993
"trial balloon"	0.0610478
"day of rest"	0.0609199
"hundred years"	0.0604397
faceoffs	0.0604132
"canned goods"	0.0599372
"hundred thousand dollars"	0.0598045
Gatorade	0.0584826
Kleenex	0.0579937
"break of serve"	0.0560342
"hush puppy"	0.0558958
"New York Democrats"	0.0552704
Valium	0.0551219
"Final Fours"	0.0547201
Celebrex	0.0541199
hypotheses	0.0537903
"loose end"	0.0531944
Prilosec	0.0524313
Propulsid	0.0523824
Christmases	0.0521482
"mouse click"	0.0516587
"foul ball"	0.0510123
Zoloft	0.0505866
"raw meat"	0.0505392
near-misses	0.0501894
Bessette	0.049866
"big shot"	0.0497342
tampon	0.0489663
"heavy hitter"	0.0489417
"food coloring"	0.0488741
major-leaguers	0.048828
passersby	0.0483403
tacklers	0.0481336
three-pointers	0.0481096
keystrokes	0.0480324
old-timer	0.0477855
"golf equipment"	0.0477047
"Ryder Cups"	0.04769
sedative	0.0475883
"hundred miles"	0.0473556
minor-leaguers	0.0470894
Ritalin	0.0469457
oilmen	0.046813
standouts	0.0467993
playmakers	0.0466883
"Texas Democrats"	0.0465844
lotion	0.0464304
celebs	0.0460778
layups	0.0458485
Xenical	0.0450712
hyper	0.044728
Claritin	0.0446669
"jelly bean"	0.0445965
"close call"	0.0444529
cyclicals	0.0442661
closers	0.0441059
Ferraris	0.0439195
Calcium	0.0438989
deejays	0.0437196
timeouts	0.0436222
"extra points"	0.0432325
caveat	0.0430487
Dutchmen	0.0430335
"thousand dollars"	0.0429591
"pet food"	0.0427276
bonbon	0.0427107
pluses	0.0426597
antioxidant	0.0425156
oldies	0.0424903
nitroglycerin	0.0421767
interloper	0.0421261
"seasons ago"	0.0420471
octogenarian	0.0420378
"theatrical production"	0.0418018
factoids	0.04178
registrant	0.0417102
potshot	0.0416008
"ice cube"	0.0412776
whistle-blowers	0.0412544
Avonex	0.0409864
BASF	0.0407542
med	0.0404202
great-grandchildren	0.0404088
e-tailers	0.0400115
"lip balm"	0.0400017
))
(adviser (desc 114480) (sims
advisor	0.295357
aide	0.290114
strategist	0.19559
consultant	0.185798
"security adviser"	0.157455
"chief of staff"	0.141025
"campaign adviser"	0.138977
confidant	0.136832
expert	0.136581
"press secretary"	0.133043
secretary	0.127903
official	0.127304
lawyer	0.125641
assistant	0.122269
counselor	0.121193
director	0.12095
manager	0.120193
Counsel	0.115537
specialist	0.111934
spokesman	0.111428
Attorney	0.111117
associate	0.109171
supporter	0.108764
executive	0.108735
representative	0.106247
chief	0.105921
economist	0.105738
administrator	0.10392
lobbyist	0.103312
"secretary of state"	0.103027
negotiator	0.102614
legislator	0.101766
ally	0.101234
"media consultant"	0.101104
prosecutor	0.100376
analyst	0.10016
operative	0.100105
deputy	0.099755
"cabinet minister"	0.0986471
diplomat	0.0986125
coordinator	0.098498
leader	0.0984059
staffer	0.0982406
appointee	0.0976011
envoy	0.0975085
chairman	0.0970592
officer	0.0970441
banker	0.0966491
critic	0.096435
commissioner	0.0962554
mediator	0.0960443
"campaign official"	0.0960408
pollster	0.0956859
backer	0.095559
lawmaker	0.0947688
doctor	0.0945547
friend	0.0940277
minister	0.0940017
"legal expert"	0.093519
"staff member"	0.0927831
member	0.0925436
politician	0.092059
educator	0.091726
"investment banker"	0.0915343
advocate	0.0907037
"vice president"	0.090645
staff	0.0899947
Ambassador	0.0896344
scholar	0.0893144
planner	0.0888909
commentator	0.0886026
scientist	0.0884157
auditor	0.0878395
agent	0.0877589
"board member"	0.0877482
professor	0.087519
physician	0.0873255
President	0.0872122
activist	0.0870296
investigator	0.0867306
Governor	0.0862774
accountant	0.085935
historian	0.0857829
broker	0.0856112
"finance minister"	0.0853935
researcher	0.0852712
confidante	0.0852169
colleague	0.0845319
psychologist	0.0844253
observer	0.0839858
speechwriter	0.0839179
trustee	0.0836433
General	0.0832521
journalist	0.0831696
senator	0.0831671
"point man"	0.0830488
"business leader"	0.0825523
"foreign minister"	0.0825311
treasurer	0.0825022
engineer	0.0822148
regulator	0.0814946
supervisor	0.0813894
editor	0.0808761
Republican	0.0805135
professional	0.0802791
undersecretary	0.079699
commander	0.0796387
administration	0.0790825
teacher	0.0789402
"military officer"	0.078783
mentor	0.0784413
insider	0.0782596
Democrat	0.0782336
spokeswoman	0.0779772
emissary	0.0778482
committee	0.0775638
letter	0.076718
partner	0.0760928
academic	0.0759415
Mayor	0.0759182
bodyguard	0.0754623
candidate	0.0753762
"managing director"	0.0752872
judge	0.0751374
successor	0.0744553
liaison	0.0742851
writer	0.0740462
organizer	0.0739335
delegate	0.0738807
reporter	0.0737937
"William Cohen"	0.0737874
opponent	0.0736439
surrogate	0.0734382
contributor	0.0732936
lecturer	0.0732703
Speaker	0.073191
"running mate"	0.0731157
architect	0.0730483
employee	0.0728696
"general counsel"	0.0726888
Clinton	0.0725474
donor	0.0725441
fund-raiser	0.0720136
handler	0.0717492
Secretary-General	0.0716973
bureaucrat	0.0716221
environmentalist	0.0716012
troubleshooter	0.0714811
"political leader"	0.0712892
Lieutenant	0.0712016
"executive director"	0.0711951
"business executive"	0.070931
technician	0.0708271
loyalist	0.0707118
psychiatrist	0.0704381
"chief executive"	0.0700409
"family member"	0.0700174
spokesmen	0.0699834
authority	0.0698165
"Wall Street analyst"	0.0695372
scout	0.0690828
"Vernon Jordan"	0.0689481
curator	0.0687133
"general manager"	0.0686924
trainer	0.0686896
businessmen	0.0685098
author	0.0685089
rival	0.0682852
"elected official"	0.0682638
principal	0.0682
"policy maker"	0.068164
therapist	0.0676753
superintendent	0.0676373
Congressman	0.0676242
volunteer	0.0673938
guru	0.0671976
Chancellor	0.0671711
"committee member"	0.0670225
challenger	0.0670106
"social worker"	0.0669995
"federal official"	0.0669347
Albright	0.0667466
"top executive"	0.0667459
"government officials"	0.0666209
pastor	0.0665681
coach	0.0665124
dean	0.0664924
"cabinet member"	0.0662323
trader	0.0661053
publisher	0.066053
cabinet	0.065998
worker	0.0655942
"labor leader"	0.0655103
government	0.0654321
chairmen	0.0654138
congressmen	0.0653529
"Kofi Annan"	0.0653422
"intelligence officer"	0.0653136
promoter	0.065186
clerk	0.065134
))
(advisor (desc 36859.4) (sims
adviser	0.295357
"security adviser"	0.17915
aide	0.178171
"chief of staff"	0.118001
envoy	0.114627
secretary	0.11273
consultant	0.112554
"cabinet minister"	0.110057
undersecretary	0.102786
representative	0.102266
"Special Adviser"	0.101802
counselor	0.0985834
"campaign adviser"	0.0979415
Ambassador	0.0973585
confidant	0.0953913
deputy	0.0932926
strategist	0.0922782
assistant	0.0920407
"press secretary"	0.0915686
"secretary of state"	0.0905161
coordinator	0.0895437
"deputy director"	0.0894111
expert	0.0890242
"foreign minister"	0.0882143
mediator	0.0877148
chief	0.0871715
minister	0.0871368
negotiator	0.0841257
emissary	0.0829254
"Dore Gold"	0.0828694
"managing director"	0.082483
director	0.0824806
Secretary-General	0.082317
"deputy foreign minister"	0.0817463
specialist	0.0810809
director-general	0.0810235
"deputy chairman"	0.0803528
"finance minister"	0.0797284
spokesman	0.0795085
Counsel	0.0782156
associate	0.0767428
appointee	0.0764764
administrator	0.0745361
"Saeb Erekat"	0.0743557
commissioner	0.0741898
"William Cohen"	0.0739415
General	0.0738361
"executive secretary"	0.0736525
diplomat	0.0731982
vice-president	0.0730598
commander	0.073051
"vice president"	0.0721696
"vice chairman"	0.0712944
"legal expert"	0.0711675
chairman	0.0709179
"Javier Solana"	0.0704283
Attorney	0.0697613
supervisor	0.0695892
"military officer"	0.0693239
"Meles Zenawi"	0.0692697
"advisory board"	0.0690955
confidante	0.0690215
parliamentarian	0.0689501
troubleshooter	0.0686141
treasurer	0.0685662
lawyer	0.0685243
"Yitzhak Molcho"	0.0684916
delegation	0.0682631
"general secretary"	0.06814
"executive director"	0.0681338
liaison	0.0678928
al-Shara	0.0678663
officer	0.0677296
speechwriter	0.0677244
Premier	0.0676797
auditor	0.0676595
successor	0.0674682
"business leader"	0.0674286
Lieutenant	0.0672097
"staff member"	0.0668325
"vice chancellor"	0.0667125
"Kofi Annan"	0.0666918
"government officials"	0.0661735
bodyguard	0.0659221
legislator	0.0658755
lecturer	0.0657299
"Chuan Leekpai"	0.0652409
manager	0.0650293
"business executive"	0.0646607
scholar	0.0646499
"Dennis Ross"	0.0645829
"Viktor Chernomyrdin"	0.0645076
"financial officer"	0.0640087
delegate	0.0639567
observer	0.0636129
el-Baz	0.0634201
staffer	0.0633399
"commander in chief"	0.0632749
trustee	0.0628463
chairmen	0.0627849
"Secretary of Defense"	0.0627179
Vice-Premier	0.0622951
economist	0.0622185
"Yevgeny Primakov"	0.0621216
al-Sahhaf	0.0620424
"Prime Minister"	0.0618805
"general counsel"	0.0617081
interlocutor	0.0616246
"William Perry"	0.0615732
psychologist	0.0614874
"army officer"	0.0611974
Chancellor	0.0608671
attache	0.0608491
Governor	0.0608186
operative	0.0608161
entourage	0.0605922
committee	0.0603334
"head of state"	0.0603322
educator	0.060147
invitation	0.0601168
tutor	0.0600122
Wiranto	0.0600071
"economic expert"	0.0596725
"intelligence officer"	0.0596427
prosecutor	0.0594327
Colonel	0.0594302
chaplain	0.0593089
"Secretary General"	0.0592623
physician	0.0592073
"Phan Van Khai"	0.05913
cabinet	0.0589038
planner	0.0587782
ally	0.0585868
lobbyist	0.0585828
"Hubert Vedrine"	0.0584879
"point man"	0.0584856
chairperson	0.0584807
banker	0.0583728
"board member"	0.05836
"medical officer"	0.058349
technician	0.0581575
"Salim Ahmed Salim"	0.0581316
Speaker	0.0578539
letter	0.0576858
Councillor	0.0576674
"cabinet member"	0.0576174
commentator	0.057571
Annan	0.0573954
"Atal Bihari Vajpayee"	0.0573798
Mubarak	0.0571925
counsellor	0.0571438
mentor	0.0570645
dignitary	0.0569369
translator	0.0567905
vice-chairman	0.0567381
"council member"	0.0565811
"religious leader"	0.0564908
"chief executive officer"	0.0564413
"solicitor general"	0.0564006
al-Sharaa	0.0559783
guest	0.05593
"Nawaz Sharif"	0.0558662
"Costas Simitis"	0.0558164
"senior vice president"	0.0557632
"military leader"	0.0557325
doctor	0.0557209
Council	0.0555843
"Amr Moussa"	0.0555485
facilitator	0.0555444
crony	0.0552882
"open letter"	0.0552003
"Minister Shlomo Ben-Ami"	0.0551457
congressmen	0.0551088
"Oded Eran"	0.0551024
congratulation	0.0550642
"Jean Chretien"	0.0549937
"Benjamin Netanyahu"	0.0549627
investigator	0.0549296
"labor leader"	0.0549183
spokesperson	0.0548781
editor	0.0548555
"Frederick Sumaye"	0.0548485
staff	0.0548369
"Rafik Hariri"	0.0548045
professor	0.0546703
"Defense William Cohen"	0.0546506
accountant	0.054282
instructor	0.0540268
lawmaker	0.0539991
"William Daley"	0.0539899
dean	0.0539548
Moussa	0.0538825
supporter	0.0538778
"Ehud Barak"	0.0538553
"investment banker"	0.0538273
el-Ganzouri	0.0538234
pollster	0.0537776
"Mesut Yilmaz"	0.0537486
businessmen	0.0537217
"Benazir Bhutto"	0.0536913
))
(advisories (desc 6047.99) (sims
Advisory	0.116241
disclaimer	0.0631229
"warning signal"	0.0626135
bulletin	0.0623801
info	0.0563364
cutback	0.0535543
"job cut"	0.0534166
"legal document"	0.0508751
"expression of regret"	0.050617
rationing	0.0499953
brochure	0.0495104
"frequently asked question"	0.0483644
admonition	0.0473094
B-shares	0.0465392
"news article"	0.0463682
T-bonds	0.0461749
citation	0.0458134
sticker	0.0457092
notification	0.0450152
"form letter"	0.0448256
"talking point"	0.0445866
summons	0.0443859
questionnaire	0.04428
"margin call"	0.0437991
easements	0.0437638
fatwa	0.0435011
"budget cut"	0.0434558
mailings	0.0431152
"identity card"	0.0430993
"weather forecast"	0.043025
canard	0.0429965
"report card"	0.0428708
closings	0.0427929
Babs	0.0427763
feeler	0.0427215
retrenchment	0.0422515
"pay cut"	0.0421332
"work permit"	0.0419401
checklist	0.0419323
"safety measure"	0.0416212
firewalls	0.0412221
"sheet music"	0.0408925
indices	0.0408519
"price list"	0.0406981
cheque	0.0406057
reconfiguration	0.0405727
pamphlet	0.0405608
encyclical	0.0404451
"progress report"	0.0403819
caseloads	0.040189
))
(Advisory (desc 1220.99) (sims
advisories	0.116241
encyclical	0.104719
fatwa	0.0961912
"warning signal"	0.0892662
feeler	0.0848602
monograph	0.079789
"open letter"	0.0794027
"seal of approval"	0.0784028
MP@s	0.0780013
"form letter"	0.077515
byline	0.0771222
hyperlinks	0.0750334
bullishness	0.0741747
"official document"	0.0739525
bloodhound	0.0691891
"electric current"	0.068667
obituary	0.0683792
"raw data"	0.0680525
"House Government Reform Committee"	0.0680251
"expression of regret"	0.0675207
"margin call"	0.0664153
disclaimer	0.0659318
"progress report"	0.0648562
"National Gambling Impact Study Commission"	0.0630159
Pendleton	0.0619789
"airplane ticket"	0.0619255
"news bulletin"	0.0614484
"Turner Classic Movies"	0.0612482
blurb	0.0610157
"intellectual property rights"	0.0608608
"British Foreign Office"	0.0606755
"distress signal"	0.0606674
bulletin	0.0604676
"frequently asked question"	0.0600741
ERISA	0.0592294
"U.S. Defense Department"	0.0587212
"sheet music"	0.0586973
"Kyoto Protocol"	0.0585102
"account statement"	0.058378
"English Football Association"	0.0579951
"Iranian Foreign Ministry"	0.0574497
obit	0.0568573
"Superintendent Ruben Zacarias"	0.0567364
"Amos Wako"	0.0565169
"Next Generation"	0.0561947
Shara	0.0558568
edict	0.0558273
"reference work"	0.0556172
Stamps	0.055372
"Miami Fusion"	0.0550557
"Lee Hsien Loong"	0.0547918
Westendorp	0.0545521
Loretta	0.0544796
"report card"	0.0543601
"morse code"	0.0540613
Alatas	0.0540032
"personal letter"	0.0536226
"Beijing Declaration"	0.0533277
"Australian Mark Philippoussis"	0.0531763
epilogue	0.0528698
Jovanovic	0.0528443
"Secretary General Esmat Abdel-Meguid"	0.0528066
"Chemical Weapons Convention"	0.0527189
"grim reaper"	0.0527164
"written material"	0.0525105
"medical report"	0.0524898
SOS	0.0523871
hourglass	0.0523829
"final judgment"	0.0519681
Meguid	0.0519571
Comments	0.0519233
"Commonwealth Ministerial Action Group"	0.0517967
"Sheikh Saad"	0.0516884
Dodik	0.0516081
Fernandes	0.0515946
"British government"	0.0515932
"Turkish Foreign Ministry"	0.0515032
verity	0.0512019
homepages	0.051159
"Israeli Army"	0.0510446
"parking ticket"	0.0510221
"talking point"	0.0508945
"De Soto"	0.0507859
"Secretary General Esmat Abdul-Meguid"	0.0504275
"Joint Statement"	0.050198
"Cambodian King Norodom Sihanouk"	0.0498716
"work group"	0.0498392
Morse	0.0498121
synopsis	0.0497448
Eizenstat	0.0495789
"numbers game"	0.0494353
"Defense William Cohen"	0.049291
Abdel-Meguid	0.0491473
"Christmas card"	0.0491364
"market watcher"	0.0490431
"Health and Welfare Ministry"	0.0488915
"Revised Version"	0.0488136
Nasrallah	0.048766
Yosef	0.0486766
"U.S. Treasury Department"	0.0485071
Pruett	0.0481904
"William Daley"	0.0480298
catechism	0.0480293
Seltzer	0.0478713
Godard	0.0478349
"bond rating"	0.0478266
Bateman	0.0476194
"Abdulsalami Abubakar"	0.0474826
Biggs	0.0474221
"administration official"	0.0473869
admonition	0.0473759
missive	0.0473651
"death warrant"	0.0473555
"news article"	0.0472328
IOU	0.0472153
"guessing game"	0.0470488
"Joint Liaison Group"	0.0469335
Satcher	0.0469233
Bruton	0.0469176
A-shares	0.0468231
"birthday card"	0.0467908
"absentee ballot"	0.0467547
"Saudi King Fahd"	0.0467122
"Policy Address"	0.0466571
Hollins	0.0465123
retraction	0.0464928
"Larry Sanders Show"	0.046445
Anand	0.0463299
Hirst	0.0462463
"market average"	0.0461712
"Klaus Kinkel"	0.046156
"purchase order"	0.0459989
"stay of execution"	0.0459712
calmness	0.0459026
"World Conference"	0.0458918
telegram	0.0458915
"arrest warrant"	0.0458818
Murrell	0.0458218
Dar	0.0457921
booklet	0.0457656
Esposito	0.0456598
Kazhegeldin	0.0456201
"application form"	0.0454572
Brittan	0.0454425
T-bonds	0.0453543
"dividend payment"	0.0453375
Allergist	0.0453107
Geiger	0.0453036
u-turn	0.045254
"Woody Williams"	0.0452537
"Economic Commission for Africa"	0.0452533
"Joint Declaration"	0.0452486
"newspaper column"	0.0452351
"electrical device"	0.0451582
Prewitt	0.0451498
"oxygen mask"	0.0450864
"Israeli Cabinet"	0.0450667
"Consumer Product Safety Commission"	0.0450222
shockwaves	0.0448429
Rothschild	0.0448314
"Voting Rights Act"	0.0447589
"historical document"	0.0447258
afterword	0.0446981
Soyinka	0.0445453
pseudoephedrine	0.0444296
"Dallas Burn"	0.0444088
understudy	0.0443041
"Stan Collymore"	0.0442866
Ikimi	0.0442798
"Drought Relief Headquarters"	0.044197
"piece of music"	0.0440727
assertiveness	0.0440253
"Department of Environment"	0.0440235
Indyk	0.0439916
hesitancy	0.0439514
"price list"	0.0439185
Pryor	0.0438487
"all clear"	0.0438314
"Tourism Authority of Thailand"	0.0437679
Najera	0.0437485
"registration number"	0.0437139
"executive program"	0.0436955
canard	0.0436506
leaflet	0.0436011
Duchesne	0.0435265
M-@@	0.0434883
KPU	0.0434632
"Dan Glickman"	0.0434566
Yarnall	0.0434471
"battle group"	0.043322
agnostic	0.0432858
"line of questioning"	0.0432658
Wallis	0.0432532
travelogue	0.0432123
swain	0.0431345
Aventajado	0.0430923
Wiz	0.0430661
"Russian Foreign Ministry"	0.0429883
Chadwick	0.0429867
"Geneva convention"	0.0429409
))
("advisory board" (desc 9399.14) (sims
"steering committee"	0.157977
"task force"	0.147869
"search committee"	0.14228
"finance committee"	0.132267
"board of trustees"	0.126497
"board of directors"	0.126037
committee	0.121517
"governing board"	0.119663
"ethics panel"	0.118762
panel	0.118053
"House Appropriations Committee"	0.116899
"planning commission"	0.116059
"ethics committee"	0.115886
"working group"	0.115299
"executive council"	0.111495
"Congressional Black Caucus"	0.110137
commission	0.109442
"National Security Council"	0.106734
Council	0.106241
subcommittee	0.105942
"PLO Executive Committee"	0.104947
"Senate Appropriations Committee"	0.104732
"Senate Finance Committee"	0.104373
"Appropriations Committee"	0.103972
"Council of Economic Advisers"	0.103369
"Rules Committee"	0.103145
"Banking Committee"	0.100495
"National Economic Council"	0.0997073
"House Ways and Means Committee"	0.0989243
"planning board"	0.0986798
"House International Relations Committee"	0.0985872
JMC	0.0982306
"Judiciary Committee"	0.0971175
"House Budget Committee"	0.095569
"Ways and Means Committee"	0.0936663
taskforce	0.0936618
NSC	0.0920349
"Congress Working Committee"	0.0918076
"National Gambling Impact Study Commission"	0.0917606
Presidium	0.0914088
"Commerce Committee"	0.0885613
CMAG	0.087661
"school board"	0.0870932
"Kosovo Verification Mission"	0.0859834
"Supreme Council"	0.0854734
"Commonwealth Ministerial Action Group"	0.0850922
"standing committee"	0.0845137
"interim committee"	0.0842446
"House Banking Committee"	0.0830329
"Foreign Relations Committee"	0.0823405
"work group"	0.0820143
"conference committee"	0.0806896
"Senate Armed Services Committee"	0.0801439
"National Committee"	0.0799964
"Business Council"	0.0797863
"Executive Committee"	0.0792644
"control board"	0.0790516
"board of regents"	0.0787203
"Human Rights Commission"	0.0771303
CEC	0.0765447
"Truth and Reconciliation Commission"	0.0754447
"military commission"	0.0749991
"House Commerce Committee"	0.0746377
"Ethics Commission"	0.0743195
Directorate	0.0739351
"city council"	0.0734797
"Public Service Commission"	0.0733623
"House Judiciary Committee"	0.0730184
"Israeli Cabinet"	0.0728809
"Parades Commission"	0.0725239
"Federal Trade Commission"	0.0724188
"Senate Commerce Committee"	0.0714413
"personnel department"	0.0714193
DLC	0.0713293
"Senate Banking Committee"	0.0713138
"Palestine National Council"	0.071209
"Board of Supervisors"	0.0707197
Ombudsman	0.0702869
"Electoral Commission"	0.0700189
"Senate Governmental Affairs Committee"	0.0699247
"Federal Open Market Committee"	0.0699231
"Provisional Ruling Council"	0.0693333
"Senate Foreign Relations Committee"	0.0692757
advisor	0.0690955
G-@@	0.0688516
"Russian Security Council"	0.0682409
consortium	0.0682013
"Constitutional Council"	0.0681188
"Palestinian Council"	0.0678579
"Senate Budget Committee"	0.0678316
CSC	0.0675582
auditor	0.0675169
jury	0.0674359
"National Council"	0.0674096
"inspector general"	0.0671563
"United Nations Conference"	0.066759
"Truth Commission"	0.0664291
"General Council"	0.064637
"Commission on Presidential Debates"	0.0645602
"think tank"	0.0644858
"Commission on Human Rights"	0.0641289
adviser	0.0640946
PNC	0.0640313
troika	0.0631679
"Board of Elections"	0.0627183
PAC	0.0626456
"board of education"	0.0621589
"Olympic Committee"	0.062143
cabinet	0.0620112
"political action committee"	0.0619251
"Nuclear Regulatory Commission"	0.0618944
NTSB	0.0617511
FTC	0.0617359
faculty	0.0617218
SEF	0.0615493
"Democratic Leadership Council"	0.0614905
"Federal Reserve Board"	0.0613237
IPU	0.0611661
"Senate Judiciary Committee"	0.0611305
"House Government Reform Committee"	0.060928
"regulatory agency"	0.0608776
disbarment	0.0606812
"Palestinian National Council"	0.0603657
"Selection Committee"	0.0602447
plc	0.0602234
"Atomic Energy Commission"	0.0600223
forum	0.0597505
"research center"	0.0597123
"Economic and Social Council"	0.0596613
"National Transportation Safety Board"	0.0596542
"Federation Council"	0.059573
Secretariat	0.0593008
"Housing Authority"	0.0589698
"Election Committee"	0.0588763
"Federal Council"	0.0588588
bureau	0.0586652
"Republican National Committee"	0.0586073
"International Society"	0.058484
PATA	0.0584619
"core group"	0.0584065
"National Executive Committee"	0.057821
"Department of Finance"	0.0577311
"Federal Deposit Insurance Corp."	0.0577248
Synod	0.0575757
ARF	0.0575281
"surgeon general"	0.0574077
"Contact Group"	0.0573455
"Los Angeles City Council"	0.0571075
tribunal	0.056811
"legislative assembly"	0.0566606
consultant	0.0565978
"history department"	0.0565784
"Police Commission"	0.0564261
"Council of Ministers"	0.0563568
academy	0.0563276
trustee	0.056252
"endowment fund"	0.0561667
"international criminal court"	0.0558406
"Russian Duma"	0.055807
"Jerusalem Committee"	0.0554763
OIC	0.0554746
"North Atlantic Council"	0.0551715
"Joint Military Commission"	0.0548686
"American Academy of Pediatrics"	0.054756
SPDC	0.0546924
PTA	0.0546756
"high command"	0.0546414
"American Bar Association"	0.0546038
"inner circle"	0.0545595
coordinator	0.0545001
"enforcement division"	0.0544722
KPU	0.0540507
"South Pacific Forum"	0.0539678
PUC	0.0539333
Marketspan	0.0539218
UNMOVIC	0.0538544
"trade association"	0.0538164
CWC	0.0537912
"Provisional Legislative Council"	0.0537629
eco	0.053743
"Executive Board"	0.0535877
MPR	0.053523
sub-commission	0.0534752
appointee	0.0533526
"Central Council"	0.0533336
AmCham	0.0532632
"Democratic Congressional Campaign Committee"	0.053159
"Canadian Alliance"	0.0530747
"Damascus Declaration"	0.0529991
"National Academy of Sciences"	0.0529861
"World Intellectual Property Organization"	0.0528485
watchdog	0.0527773
"Provisional Urban Council"	0.0527554
NEA	0.0526634
"Rio Group"	0.0525277
"Nevada Athletic Commission"	0.0524991
ASEM	0.0524149
"Caribbean Community"	0.0522127
Assembly	0.0522116
"Central Committee"	0.052185
))
(advocacy (desc 23361.4) (sims
advocate	0.117402
activism	0.105056
proponent	0.0921216
outreach	0.089342
enforcement	0.0809055
"education program"	0.0755498
Promotion	0.0731319
policy	0.0730371
awareness	0.071638
education	0.0706334
rhetoric	0.0662936
planning	0.0656737
counseling	0.0656212
marketing	0.0654868
recruitment	0.0649798
stance	0.0644287
endorsement	0.0639282
pursuit	0.0632308
ethic	0.0631324
crusade	0.0627641
campaigner	0.0627447
criticism	0.0626849
empowerment	0.0623429
"family planning"	0.0622391
protection	0.0621705
acceptance	0.0612905
research	0.0610273
strategy	0.0603745
principle	0.0600584
supporter	0.0599868
analysis	0.0599667
conservation	0.0598738
determination	0.0597862
commitment	0.0594455
dissemination	0.0593972
preservation	0.0592495
Advertising	0.0586808
politics	0.0584725
philosophy	0.0583451
management	0.0580777
assertion	0.0580651
involvement	0.0576678
backer	0.0575206
"health care"	0.0573745
coordination	0.0570741
denial	0.0570228
conservatism	0.0569147
ideology	0.0566526
rejection	0.056598
prevention	0.0563637
teaching	0.0560496
campaigning	0.0559036
agenda	0.0558402
concept	0.0557171
"social service"	0.0555371
persistence	0.055401
initiative	0.0553503
philanthropy	0.0553437
crusader	0.055244
condemnation	0.0550551
governance	0.0549101
doctrine	0.0547369
denunciation	0.054421
accomplishment	0.054345
devotion	0.0542875
oversight	0.0542536
"health service"	0.0534865
willingness	0.0533022
desire	0.0530482
propaganda	0.0530462
adoption	0.0529347
achievement	0.0528008
legislation	0.052774
mobilization	0.0524083
health	0.0522143
backing	0.0519295
testing	0.0519273
watchdog	0.0518919
publicity	0.0518507
innovation	0.0516707
opposition	0.0516499
loyalty	0.0515566
sensitization	0.0514233
provision	0.0512663
funding	0.0512294
morality	0.0512271
rehabilitation	0.0509552
ability	0.0509156
stewardship	0.0505571
participation	0.0505236
strengthening	0.0504476
"advertising campaign"	0.0504152
advancement	0.0503161
"public service"	0.0502442
belief	0.050185
"civil right"	0.0501432
interaction	0.0500652
expansion	0.0500455
intervention	0.0500448
improvement	0.0499944
advertisement	0.0499781
"educational program"	0.0499491
behavior	0.0497814
formulation	0.0497665
"law enforcement"	0.0497163
assessment	0.0494335
"vocational training"	0.0493677
evaluation	0.0493652
undertaking	0.049338
"decision making"	0.0493149
diplomacy	0.0492587
Declaration	0.0492468
relaxation	0.0492226
honesty	0.0492211
critique	0.0491888
financing	0.0491868
Journalism	0.0491193
interpretation	0.0491111
sponsorship	0.0490037
patriotism	0.0489734
networking	0.0488997
assistance	0.0488656
tactic	0.0488183
consolidation	0.0487092
skill	0.0486735
teamwork	0.0486606
enhancement	0.0486563
"foreign policy"	0.0486353
opinion	0.0484853
vision	0.0483899
reporting	0.0481765
objective	0.0481391
restoration	0.0480858
endeavor	0.0480832
disclosure	0.048046
identification	0.0479863
refusal	0.0479407
foe	0.0478659
"trade policy"	0.0476899
grassroot	0.0476398
communication	0.0476229
worship	0.0475143
insistence	0.0474963
moral	0.0474601
overhaul	0.0473697
economics	0.0472548
writing	0.0472129
importance	0.0472025
strength	0.0471649
consultancy	0.0470795
diversity	0.0470772
exploration	0.0470569
spirit	0.0469425
supervision	0.0469401
"strategic planning"	0.0469349
"civil rights"	0.0469152
clout	0.0468837
orientation	0.04685
argument	0.0468068
understanding	0.0467838
"higher education"	0.0467703
viewpoint	0.0467539
monitoring	0.0465855
"economic policy"	0.046569
abortion	0.0465504
accounting	0.046493
scope	0.0464012
generosity	0.046336
contribution	0.0463319
litigation	0.0463061
aspect	0.0461756
"information technology"	0.0460392
forecasting	0.0460345
employment	0.0459457
"ad campaign"	0.0459416
candidacy	0.045922
infrastructure	0.0458233
proclamation	0.045823
compassion	0.0457969
activist	0.0457938
tolerance	0.0457829
"gun control"	0.0457746
coaching	0.0457012
abolition	0.0456823
"marketing program"	0.0456778
nature	0.0456728
maintenance	0.0455866
regulation	0.0455488
effectiveness	0.0455396
"marketing effort"	0.045499
resource	0.0454757
consideration	0.0454528
recognition	0.0454451
theory	0.045427
repression	0.0454121
framework	0.045365
subsidy	0.0452722
emphasis	0.0452275
creation	0.0451973
candor	0.0451937
))
(advocate (desc 88127.2) (sims
proponent	0.210362
activist	0.204505
environmentalist	0.200968
supporter	0.174393
critic	0.170508
lawmaker	0.149152
conservative	0.142891
educator	0.140559
campaigner	0.137537
politician	0.136219
Democrat	0.135312
legislator	0.133649
Republican	0.133231
opponent	0.132696
lawyer	0.125672
expert	0.123188
regulator	0.1207
backer	0.120511
reformer	0.120343
"legal expert"	0.119682
advocacy	0.117402
scholar	0.115517
group	0.113728
liberal	0.113269
lobbyist	0.112236
"business leader"	0.111432
crusader	0.111123
official	0.110739
scientist	0.110464
"elected official"	0.109238
leader	0.108434
academic	0.107315
foe	0.106859
administrator	0.10648
historian	0.105908
ally	0.105703
prosecutor	0.105364
"labor union"	0.105136
"labor leader"	0.10479
member	0.104487
Libertarian	0.103148
analyst	0.102378
conservationist	0.101638
observer	0.101062
researcher	0.100618
senator	0.0999661
specialist	0.0992311
banker	0.0987726
Attorney	0.0986775
economist	0.0981161
"political leader"	0.0971668
moderate	0.0970636
journalist	0.0965996
"religious leader"	0.0940354
aide	0.0935625
"interest group"	0.0934932
doctor	0.0928806
ethicists	0.0920235
planner	0.0918858
congressmen	0.0915933
psychologist	0.0914786
adviser	0.0907037
professional	0.090431
"policy maker"	0.0903266
defender	0.0901071
intellectual	0.0898638
organization	0.0896941
executive	0.0895875
strategist	0.0895746
commentator	0.0895508
feminist	0.0891868
diplomat	0.0886858
sponsor	0.0886763
investor	0.0883401
physician	0.0880908
developer	0.0874002
consultant	0.0873692
consumer	0.0871141
"business executive"	0.0867853
representative	0.086037
nationalist	0.0858205
union	0.0856682
resident	0.0856497
counselor	0.0854607
"National Rifle Association"	0.0854156
architect	0.084892
skeptic	0.0848453
candidate	0.0847546
voter	0.083968
organizer	0.0837757
clergy	0.0837597
parent	0.0837386
businessmen	0.0833849
policy-makers	0.0832126
"social worker"	0.083186
author	0.0831342
"union member"	0.0831287
practitioner	0.0831086
"AIDS activist"	0.0830504
hard-liner	0.0828638
Mayor	0.0827212
teacher	0.0826504
writer	0.0824564
manager	0.0823497
"business community"	0.081742
Governor	0.0816576
trader	0.0814973
Communist	0.0813903
fan	0.0813399
policymakers	0.0813278
protester	0.0812006
"federal official"	0.0809003
"social scientist"	0.080603
administration	0.080593
judge	0.080499
watchdog	0.0801971
colleague	0.0799739
farmer	0.0798554
insider	0.0797037
worker	0.0793587
"civil rights leader"	0.079274
"government officials"	0.0788113
citizen	0.0787949
pundit	0.0787124
dissident	0.0786216
opposition	0.0784624
"trial lawyer"	0.0783119
detractor	0.0782429
commissioner	0.0776671
investigator	0.0774488
people	0.0770511
promoter	0.0770015
watcher	0.0769956
"American Civil Liberties Union"	0.0766658
unionist	0.0764847
Catholic	0.0763044
"board member"	0.0761485
broadcaster	0.0761203
veteran	0.0761194
leftist	0.0759659
biologist	0.0757314
cleric	0.0752306
entrepreneur	0.0751822
authority	0.0750488
student	0.0747755
"council member"	0.0746929
jurist	0.0741759
"civic leader"	0.0739352
partisan	0.0735245
negotiator	0.0734033
Counsel	0.0730689
community	0.0730645
owner	0.0730412
many	0.0730109
employer	0.0728525
constituent	0.0726078
staffer	0.0726068
outsider	0.0725879
theologian	0.0725271
preservationists	0.0725259
director	0.0724506
"cabinet minister"	0.0723696
"venture capitalist"	0.0722685
delegate	0.0720237
friend	0.0720015
party	0.0715459
artist	0.0714017
Guardian	0.0712022
President	0.0711368
Speaker	0.071
enthusiast	0.0709755
"market participant"	0.070944
centrist	0.0709425
professor	0.0708754
public	0.0708591
operator	0.0706899
"Wall Street analyst"	0.0703505
"trade union"	0.0701293
others	0.0700483
merchant	0.0698145
statesman	0.0696734
enemy	0.0695925
provider	0.0695351
lobby	0.0694914
agency	0.0694729
bureaucrat	0.0694228
hardliner	0.0693699
nurse	0.0693177
some	0.0692276
"vice president"	0.0692135
participant	0.0690739
"staff member"	0.0690738
broker	0.0690625
volunteer	0.0690597
sociologist	0.0687104
minister	0.0687083
theorist	0.0686874
plaintiff	0.0686433
thinker	0.0684459
editor	0.0681991
))
(ae (desc 1559.29) (sims
parf-ip	0.124032
scw	0.120247
cph	0.117216
TC	0.0806301
JC	0.0754095
Auxerre	0.0739058
sf	0.0726658
SC	0.0691231
hjf	0.0669424
JT	0.0664324
cb-parf	0.0637445
djw	0.0594912
djp	0.0589798
GB	0.0550697
Markhasev	0.0549434
parf-dgs	0.0533047
dw	0.0522105
rjm	0.0512083
JP	0.0510359
vls	0.0509856
SP	0.0508959
CB	0.0506526
ADC	0.0458489
GK	0.0448226
"Zubin Mehta"	0.0438523
EPR	0.0411307
DC	0.0401966
))
(AEC (desc 978.051) (sims
"African Economic Community"	0.169412
EAC	0.15495
NSC	0.135668
JMC	0.118781
FOMC	0.113536
EPZ	0.107458
"African Union"	0.1067
"Macao International Airport"	0.105729
COMESA	0.100828
UNTAET	0.100701
CIRC	0.0991203
KPA	0.0981232
PNP	0.0962559
GSS	0.0944785
ILO	0.0938641
oil-for-food	0.0935782
IEC	0.09245
CPLP	0.0908951
IGAD	0.0905531
"Rio Group"	0.0903714
WEF	0.0899529
BSA	0.0883357
"HKSAR Government"	0.0877751
ASEM	0.086874
pan-Arab	0.0862746
UNEP	0.0861648
OAU	0.0849456
ACWF	0.0844759
Asia-Europe	0.0839489
"SAR Government"	0.0837322
UNCTAD	0.0836558
CEC	0.0831967
"Joint Military Commission"	0.0831645
ADL	0.0828131
"Macao Government"	0.0822911
"Civil Aviation Authority"	0.082056
WIPO	0.081367
coastguard	0.0813001
OIC	0.0805356
"Housing Authority"	0.0804561
eco	0.0804552
INEC	0.080323
PATA	0.079757
"HK SAR"	0.0795066
TAZARA	0.0794811
"Defense Agency"	0.0794617
KPU	0.0791488
"Department of Environment"	0.0785483
"Self-Defense Forces"	0.0779863
PCC	0.0778817
CMA	0.0778455
"Economic Commission for Africa"	0.0778253
CMAG	0.0776095
ECOWAS	0.0774682
"National Security Council"	0.0773739
"Atomic Energy Commission"	0.0772137
"United Nations Observer Mission"	0.0771913
"Vietnamese Communist Party"	0.0771769
"Non-Aligned Movement"	0.076781
"customs union"	0.0761379
SADC	0.0760367
"Organisation of African Unity"	0.0753262
AFTA	0.0752951
G-@@	0.0750179
"Israeli Foreign Ministry"	0.0745705
"Arab Parliamentary Union"	0.0745142
UNAMET	0.0740611
"civil defense"	0.0733218
NAM	0.0733218
Russian-U.S.	0.0731273
"Asia Pacific Economic Cooperation"	0.0724326
Nepa	0.0717483
CSC	0.070676
"Southern African Development Community"	0.0705918
"Western European Union"	0.0703504
"customs service"	0.070182
"Export Processing Zones"	0.0694417
FSB	0.0693482
UNIFIL	0.0690468
"Human Rights Commission"	0.0687568
GEF	0.0682182
"Department of Corrections"	0.0681413
"Ministry of Internal Trade"	0.0680554
ICC	0.0680033
SEZs	0.0680002
sub-regional	0.0677871
"Socialist Party"	0.067713
FTA	0.0675384
"international criminal court"	0.0673695
NGO	0.0671959
SAA	0.0671235
ACB	0.0668419
"PLO Executive Committee"	0.066778
OCA	0.0665603
"ASEAN Secretariat"	0.0664363
SBA	0.0660527
CWC	0.0659958
"Culture Ministry"	0.0659196
SAARC	0.065845
"collective security"	0.0657921
FTAA	0.0656698
"Audubon Society"	0.065658
RCMP	0.0654721
NDP	0.0654682
CSE	0.0653363
DLC	0.0653343
"Market system"	0.0652543
Politburo	0.0650311
"Palestine National Council"	0.0649248
"Constitutional Assembly"	0.064919
"Palestinian Council"	0.0648695
CSA	0.0648525
"Alcoholics Anonymous"	0.0648074
"Palestinian National Council"	0.064806
"European Council"	0.0645727
NPA	0.0645002
Sino-Japanese	0.0638999
"Football Association"	0.0638436
"Economic and Social Council"	0.0636234
"Shin Bet"	0.0636018
"Islamic Conference"	0.0633759
Comelec	0.063321
BSF	0.0631542
FSA	0.063003
"Arab League"	0.0629273
"U.S. Soccer Federation"	0.0627096
G@@	0.0625871
"Russian Space Agency"	0.0625148
"Olympic Movement"	0.0621807
HKTA	0.0621071
SPS	0.0620256
China-U.S.	0.0620156
"Ethics Commission"	0.0618533
UNIDO	0.0617382
"Special Administrative Region"	0.061721
RUC	0.0615462
Massport	0.061449
KONI	0.0614364
NARAL	0.0613093
"fire brigade"	0.0610872
"Royal Ulster Constabulary"	0.0609849
"steering committee"	0.0609746
Hausa	0.0606381
ECA	0.0605044
CCC	0.0604575
"Group of Rio"	0.0603468
"U.N. Interim Force in Lebanon"	0.0602639
"Asia-Pacific Economic Cooperation"	0.0601294
Non-governmental	0.0598132
USAID	0.0596904
WEU	0.0596446
"East African Cooperation"	0.0596079
FAO	0.0595168
RAF	0.0594612
UNESCO	0.0592705
"UN agency"	0.0592445
OECD	0.0591776
U.S.-Japan	0.0591717
"Home Ministry"	0.0591634
"Speaker Ali Akbar Nateq-Nouri"	0.0590589
"Russian Defense Ministry"	0.0589633
"International Committee of Red Cross"	0.0588384
"Department of State"	0.0587411
ZCCM	0.0586647
MPLA	0.0586348
"planning commission"	0.0582315
CAA	0.0581795
ACOG	0.0578913
PSC	0.05789
"Philippine National Police"	0.0578767
"Selection Committee"	0.0578112
"Black Panther"	0.0577451
Histadrut	0.0577042
IEA	0.0576791
MPR	0.0574609
"British Foreign Office"	0.057378
DAP	0.0572904
ATC	0.0572111
"Ninth CPPCC National Committee"	0.05705
"Information Ministry"	0.0570366
SANDF	0.0570315
ABM	0.0569475
Sino-Russian	0.0569158
"Scotland Yard"	0.056895
"monetary fund"	0.0567852
"National Science Foundation"	0.0565696
"Public Security Ministry"	0.0564271
Ulema	0.0561801
LAPD	0.056155
"South African National Defense Force"	0.05613
HKMA	0.0561145
NPT	0.0560037
MPAA	0.0559379
Mensa	0.0559361
UPU	0.0558706
Americorps	0.0558604
ICRC	0.0558309
"Veterans Administration"	0.0555848
UNHCR	0.055541
"Provisional Legislative Council"	0.0554486
))
(Aegean (desc 7682.24) (sims
"Aegean Sea"	0.407704
Mediterranean	0.156035
"Mediterranean Sea"	0.143069
Baltic	0.140761
"Red Sea"	0.140482
"Black Sea"	0.139707
"Sea of Japan"	0.135214
"Baltic Sea"	0.132911
"Persian Gulf"	0.13136
"South China Sea"	0.118883
"Yellow Sea"	0.118154
Adriatic	0.115745
"Caribbean Sea"	0.115693
"North Atlantic"	0.11172
Gulf	0.107773
Kyushu	0.103246
"South Atlantic"	0.0982105
Caribbean	0.0922809
"Adriatic Sea"	0.0921114
"Arabian Sea"	0.0909435
"Indian Ocean"	0.0892948
"Bay of Bengal"	0.0882856
Sakhalin	0.0882721
"Far Eastern"	0.0862927
Bakassi	0.086213
"English Channel"	0.0816632
pacific	0.0814716
"Barents Sea"	0.0813177
Crete	0.0808809
Nagorno-Karabakh	0.0799338
"North Maluku"	0.0793749
Sipadan	0.0781937
"Taiwan Strait"	0.0781387
"South Pacific"	0.0781063
Katanga	0.0775138
Cyprus	0.0766428
Atlantic	0.0765683
Sulawesi	0.0752845
Maluku	0.0752323
"Abu Musa"	0.0749909
"territorial water"	0.0748829
"East China Sea"	0.0742024
"Bakassi Peninsula"	0.0739529
"Lake Victoria"	0.0734743
"Caspian Sea"	0.0729652
Caspian	0.072924
Batam	0.0713973
Palawan	0.0713509
Kashmir	0.0699086
"rough water"	0.0697773
"Far East"	0.0696437
Luzon	0.0691366
"Western Sahara"	0.0688959
"North Sea"	0.0681651
"Taiwan Straits"	0.0671484
"Pacific Ocean"	0.0662974
"Atlantic Ocean"	0.0656155
Arctic	0.0655741
Caucasus	0.0655728
islet	0.0650845
"Black Sea Fleet"	0.0642775
"South Asia"	0.0637231
"Arctic Ocean"	0.0634003
Sulu	0.0632808
"Lake Erie"	0.0630287
"Western Pacific"	0.0629937
Balkans	0.062837
"Kuril Islands"	0.0621754
"Gulf of Mexico"	0.0618232
Zanzibar	0.0611302
Mindanao	0.0609539
strait	0.0606164
"Beibu Gulf"	0.0604343
Sumatra	0.0598229
"New York Harbor"	0.0597269
Balkan	0.0594019
"Golan Heights"	0.059276
"Manila Bay"	0.0587276
isle	0.0586129
"Near East"	0.0584229
Mid-Atlantic	0.0582219
Mullaitivu	0.057971
"North Caucasus"	0.0576318
Caprivi	0.0572211
"Boston Harbor"	0.0571167
"Lake Ontario"	0.0570091
"East China"	0.0568979
Malvinas	0.0567935
Pemba	0.0559908
Mtwara	0.0558438
Chiapas	0.0558293
Comoros	0.055635
Tigray	0.0555956
"Jordan River"	0.0555541
"Yangtze River Delta"	0.0551625
Alaskan	0.0550742
Tanga	0.0550147
Kargil	0.0549122
Bahamas	0.0539346
Krasnoyarsk	0.0537208
"over four"	0.0533171
Alsace	0.0533032
Abkhazia	0.0532289
Borneo	0.0530777
"South China"	0.0520983
Jammu	0.0519852
Khabarovsk	0.0517739
Okinawa	0.0515914
Greek	0.051586
CHT	0.0515611
Cebu	0.0510706
DRC	0.0510699
Ambon	0.050878
"Central Asian"	0.0507933
Brittany	0.0505093
peninsula	0.0503293
"Puget Sound"	0.0501028
"Central Asia"	0.0500358
Jolo	0.0495661
Durres	0.0495124
"Balkan state"	0.0493119
Drenica	0.0489939
Zaire	0.0489365
Decani	0.0487016
Kalimantan	0.0486279
"Irian Jaya"	0.0484574
Badme	0.0482369
"San Francisco Bay"	0.048195
ZHOUSHAN	0.0481874
Aceh	0.0481846
Mostar	0.0479997
airspace	0.0479262
archipelago	0.0479121
Kwazulu-Natal	0.0476
"Delta State"	0.0473138
demarcation	0.0471204
Zamboanga	0.0470844
"high sea"	0.0470599
Vieques	0.0469922
Trincomalee	0.046514
Crimea	0.0460156
"Northern Territory"	0.0458225
Basra	0.0458096
"South Lebanon"	0.0456666
"Eastern Cape"	0.0454277
"Great Lakes"	0.045203
Ganges	0.0451255
Kigoma	0.0451215
highland	0.045045
"Nile River"	0.0450036
"Southeast Asia"	0.0448834
"Pacific Coast"	0.044783
"Great Lakes Region"	0.0447636
"West Bank"	0.044632
Khulna	0.0445387
Mideast	0.0445135
Nile	0.0444329
Piedmont	0.0443501
"South East Asia"	0.04421
"Diaoyu Islands"	0.0439584
Chittagong	0.0437874
"European nation"	0.043607
"South Asian"	0.043499
"Tarim Basin"	0.0434929
Phuket	0.0434731
Warri	0.0433796
"Balkan country"	0.0432885
"Big Sur"	0.0431892
Limassol	0.0431498
panhandle	0.0431434
Brcko	0.0430664
"British Isles"	0.0427868
Merca	0.0427518
"Bohai Sea"	0.0427194
Danube	0.0426061
"East Java"	0.0423936
"West Asia"	0.0423897
Sinai	0.0422908
delimitation	0.0422736
"Dead Sea"	0.0422524
Euphrates	0.0420585
"North Africa"	0.0419362
"New Territories"	0.0419008
Hokkaido	0.0418877
"Gaza Strip"	0.0418791
"East Asia"	0.0417746
Kagera	0.0417649
"Southern Ocean"	0.0417104
Basilan	0.0416795
"Holy City"	0.0416783
Attica	0.041541
"over three"	0.0413799
"Korean Peninsula"	0.0411306
"East Asian"	0.0410216
Anjouan	0.0409259
"Chesapeake Bay"	0.0408717
"Chittagong Hill Tracts"	0.0408687
Mitrovica	0.0408374
Tajikistan	0.0407905
"Northeast Asia"	0.0407866
))
("Aegean Sea" (desc 6256.03) (sims
Aegean	0.407704
"Mediterranean Sea"	0.137536
"South China Sea"	0.125703
"territorial water"	0.124988
"Caribbean Sea"	0.124196
"Sea of Japan"	0.120645
Mediterranean	0.117418
"East China Sea"	0.117262
"Black Sea"	0.112817
"Baltic Sea"	0.108103
"Yellow Sea"	0.103803
"Red Sea"	0.102321
"Persian Gulf"	0.0997549
"Adriatic Sea"	0.0949241
Adriatic	0.0940098
"Indian Ocean"	0.0937546
"Taiwan Strait"	0.0901479
"North Atlantic"	0.0896933
Gulf	0.08703
"Pacific Ocean"	0.0857292
"South Atlantic"	0.0850414
"Arabian Sea"	0.0844276
Sakhalin	0.0836632
"Western Pacific"	0.0834872
"Bay of Bengal"	0.082692
Bakassi	0.0809752
"Barents Sea"	0.0799706
pacific	0.0763204
Kyushu	0.07557
"Kuril Islands"	0.0750604
islet	0.0746319
"English Channel"	0.0740188
Crete	0.0739132
Luzon	0.072555
"Atlantic Ocean"	0.0710951
"Gulf of Mexico"	0.0710754
Nagorno-Karabakh	0.0694941
Sipadan	0.0690239
Borneo	0.0683116
"South Pacific"	0.0669387
"continental shelf"	0.0665341
"Western Sahara"	0.0661289
Katanga	0.0653024
"Lake Erie"	0.0643875
strait	0.0639787
"Bohai Bay"	0.0627039
Atlantic	0.0621798
Caribbean	0.0612618
"Lake Victoria"	0.0610776
"North Sea"	0.0609248
"Taiwan Straits"	0.0596546
"Far Eastern"	0.0595069
"New York Harbor"	0.0592472
Sulawesi	0.0577432
Caspian	0.0575308
"Caspian Sea"	0.0573441
"Lake Ontario"	0.0569745
"Dead Sea"	0.0565582
Kashmir	0.0546148
"Abu Musa"	0.054324
"rough water"	0.0541011
Arctic	0.053992
Kwazulu-Natal	0.0530483
Baltic	0.0528319
Bund	0.0527756
Jammu	0.0518971
"Bakassi Peninsula"	0.0516824
"North Island"	0.0516507
"Bohai Sea"	0.0511246
"Shan State"	0.0510561
"Beibu Gulf"	0.0510558
Pemba	0.0504678
"Puget Sound"	0.0502727
"Far East"	0.0495798
"Chesapeake Bay"	0.0492564
Zaire	0.0490694
Caprivi	0.0486777
CHT	0.048587
"Arctic Ocean"	0.0485664
Caucasus	0.0483074
"water right"	0.0477784
Seine	0.0477734
"Niger Delta"	0.0476727
Malvinas	0.047568
"Jordan Valley"	0.0469778
"San Francisco Bay"	0.0463824
Tigray	0.046344
peninsula	0.0460612
Hispaniola	0.0453067
Uvira	0.0449356
waters	0.0446866
Kalimantan	0.044646
Batam	0.0444432
Khabarovsk	0.0436698
"Northeast Asia"	0.0430934
Crimea	0.0430494
Sumatra	0.0430125
seaboard	0.0429884
Maluku	0.0428631
archipelago	0.0427694
Bahamas	0.0425667
"Rift Valley Province"	0.0425245
"New Territories"	0.0424713
reef	0.0424578
Euphrates	0.0415697
"Yucatan Peninsula"	0.0413759
"Long Island Sound"	0.0411926
Mid-Atlantic	0.0410723
"Boston Harbor"	0.0408025
Comoros	0.0407213
hippocampus	0.0406858
Mindanao	0.040455
"Southern Ocean"	0.0402522
"North Maluku"	0.0401305
"Delta State"	0.0400182
))
(aegis (desc 6654.97) (sims
auspice	0.265831
auspices	0.196522
chairmanship	0.0887261
co-chairmanship	0.0777349
umbrella	0.0771252
guidance	0.0734096
mediation	0.0696154
sponsorship	0.0692491
"guided missile"	0.0629355
AWACS	0.0601719
"U.S. Navy"	0.0569699
"Secretary- General"	0.0565636
tutelage	0.0544586
patronage	0.0512366
forming	0.0482269
"first Head"	0.048169
"executive secretary"	0.0463354
pseudonym	0.0455854
member-states	0.0432997
"deputy director-general"	0.0426499
"member nation"	0.0414359
"Section @@@"	0.0407988
director-general	0.0403828
))
(Aegon (desc 1063.63) (sims
AXA	0.229093
"Aetna Inc."	0.228759
"American International Group"	0.200688
Allianz	0.199721
Generali	0.184089
TYCO	0.177963
ING	0.176244
"National Grid"	0.173717
AMP	0.17013
Totalfina	0.163783
McKesson	0.159611
KPN	0.155134
Vitesse	0.154897
Aetna	0.154529
ICI	0.145676
TELLABS	0.14461
Vivendi	0.143438
RJR	0.14308
Deutsche	0.142425
Danka	0.141658
Pitney	0.13968
"Total Fina"	0.139539
XYLAN	0.139298
Federated	0.138001
SmithKline	0.136731
Georgia-Pacific	0.135375
"Pacific Century"	0.135112
Chiron	0.133336
NORTHROP	0.132798
Medtronic	0.13231
Litton	0.132165
Penney	0.13143
UAL	0.13141
Daimler	0.130787
Astra	0.1293
BASF	0.129083
Viacom	0.128063
Glaxo	0.127745
Conseco	0.127022
Mannesmann	0.127008
AIG	0.126548
"Abbott Laboratories"	0.126324
PictureTel	0.126067
AutoNation	0.125134
"ABN AMRO"	0.124833
WPP	0.124656
COLTEC	0.123929
"WorldCom Inc."	0.123738
Nortel	0.122363
GEC	0.121786
"First Union"	0.121768
Seagram	0.121685
PolyGram	0.121283
Starwood	0.120162
Bestfoods	0.119893
"Y&AMP;R"	0.119787
Warner-Lambert	0.119748
"Travelers Group"	0.11947
WorldCom	0.119237
"News Corp."	0.119224
YPF	0.118658
AlliedSignal	0.117876
Terra	0.117818
"BP Amoco"	0.11757
AMR	0.117055
LVMH	0.116673
Bayer	0.116659
Enron	0.116336
Unilever	0.115537
Hoechst	0.115493
Clorox	0.115381
Genzyme	0.115159
Sunbeam	0.114692
NTL	0.11466
ALZA	0.11427
ENTERGY	0.113677
NatWest	0.113671
IDT	0.113667
Bertelsmann	0.113418
EMC	0.113045
BCE	0.113035
Telefonica	0.112771
Gilead	0.112712
SFX	0.112677
Cendant	0.112461
Ahold	0.112344
HSBC	0.111518
Renault	0.11095
"P&AMP;G"	0.11095
Pfizer	0.110821
"HSBC Holdings"	0.110603
"J&AMP;J"	0.110586
Eni	0.110116
Roche	0.109622
Cablevision	0.10961
"Deutsche Bank"	0.10953
Alltel	0.108819
Healtheon	0.108731
Cadbury	0.10842
"Deutsche Telekom"	0.108387
NiSource	0.10837
GPU	0.108205
VoiceStream	0.108139
Biogen	0.107972
Weyerhaeuser	0.107681
Nabisco	0.107599
Citigroup	0.10727
SBC	0.106979
"Hearst Corp."	0.10692
"San Miguel"	0.106793
Occidental	0.106542
Chris-Craft	0.106468
"Berkshire Hathaway"	0.106421
"Tribune Co."	0.106161
REPSOL	0.106153
Honeywell	0.106132
Kroger	0.105557
"Reed Elsevier"	0.105037
Cabletron	0.10488
Inktomi	0.104632
Berkshire	0.10438
Heineken	0.103886
NTT	0.103733
GANNETT	0.10362
"British Petroleum"	0.102985
REVLON	0.102569
Mattel	0.102146
"American Home"	0.102009
Ciena	0.101889
"ELF AQUITAINE"	0.100527
"Gannett Co."	0.100461
"Cable &AMP; Wireless"	0.100396
PLDT	0.100198
Philips	0.0997309
"Northern Telecom"	0.0991562
"Cadbury Schweppes"	0.0991553
Yukos	0.098953
Cisco	0.0986937
MCI	0.0985564
CMG	0.0984028
"HBO &AMP; Co."	0.0983914
McCaw	0.0982916
Alcatel	0.0982225
Caldor	0.0981936
Geico	0.0981623
Konka	0.0980729
"R Block"	0.0978704
Fiat	0.0976883
"Merck &AMP; Co."	0.097676
"Bell Atlantic"	0.0975949
"Johnson &AMP; Johnson"	0.0975072
Pepsico	0.0971737
"Learning Co."	0.0968664
Raytheon	0.0966891
Monsanto	0.0966007
"Motorola Inc."	0.0965564
DoCoMo	0.0964961
Alcoa	0.0964517
ADM	0.0964052
Diageo	0.096334
Halliburton	0.0961078
Norwest	0.0958859
"Sara Lee"	0.0955922
Qwest	0.0954189
Exxon	0.0952269
"Phelps Dodge"	0.0951078
UBS	0.0948451
Marketspan	0.0944687
"Viacom Inc."	0.0943047
ExciteAtHome	0.0942084
"MCI WorldCom"	0.0941302
VENATOR	0.0940814
WELLPOINT	0.0938038
"Societe Generale"	0.0937991
"Volvo AB"	0.0936302
Cerent	0.0934901
Amgen	0.0933351
Scripps	0.0930989
"Coca-Cola Co."	0.0930835
Symantec	0.092902
BP	0.0925682
Novartis	0.0923905
"Bausch &AMP; Lomb"	0.0921424
Adelphia	0.0920887
PEOPLESOFT	0.0920867
Compaq	0.0920528
"Global Crossing"	0.0918694
Corning	0.0916423
"France Telecom"	0.0916327
Dupont	0.0915507
Sibneft	0.0915221
Autodesk	0.0914729
Belo	0.0913532
Lucent	0.0909356
ZIFF-DAVIS	0.0907185
"MCI Worldcom Inc."	0.0904576
NationsBank	0.0903442
"R.J Reynolds"	0.0903253
Comcast	0.0898651
Nestle	0.0897684
))
(AEK (desc 1439.3) (sims
Panathinaikos	0.167556
Olympiakos	0.159605
"Red Star"	0.142412
Atletico	0.133231
"Velez Sarsfield"	0.131183
Biffle	0.123663
Spartak	0.122108
"AEK Athens"	0.119695
"Greek capital"	0.115714
Betis	0.115295
PAOK	0.113825
Galatasaray	0.113302
Bayern	0.112393
Vitesse	0.112323
"Red Storm"	0.111794
Flamengo	0.110803
Cruzeiro	0.110546
Gustafsson	0.108941
Necaxa	0.106167
Palmeiras	0.10548
"Fighting Irish"	0.103784
Lapentti	0.103447
Benfica	0.102759
Dosedel	0.10222
Raoux	0.101757
Obilic	0.101556
Shenhua	0.101156
Wolfsburg	0.101141
"Tar Heels"	0.100936
Lobos	0.100772
Likhovtseva	0.0993147
Sooners	0.0992693
Leverkusen	0.0991603
Anderlecht	0.0986712
Jayhawks	0.0986701
"Real Betis"	0.0986046
Schalke	0.0985214
Santoro	0.0965182
Wanda	0.0961295
Auxerre	0.095999
Susanti	0.0958576
"Horned Frogs"	0.0953146
terrapin	0.0952659
Huskers	0.095153
Minutemen	0.0947187
Jansher	0.0939889
Gremio	0.0939229
Feyenoord	0.0935247
Gorter	0.0933868
Ulihrach	0.0929086
UAB	0.0928358
Besiktas	0.0926261
gamecock	0.0914653
Boilermakers	0.0913408
Starzz	0.0907871
"River Plate"	0.0903726
"American Michael Chang"	0.0900148
"Team USA"	0.0899483
PSV	0.0898924
"Crimson Tide"	0.0898308
"Boca Juniors"	0.0898131
Dortmund	0.0892253
Mavs	0.0891643
Vasco	0.0889715
Ilie	0.0887916
"Red Raiders"	0.0884642
Springbok	0.0882327
"Bafana Bafana"	0.0876668
Boca	0.0875277
Celta	0.0873868
"Slavia Prague"	0.0873362
"Scarlet Knights"	0.0872158
Sugiyama	0.0867197
"San Lorenzo"	0.0865999
Inter	0.0864882
Deportivo	0.0863035
"blue devil"	0.0862249
Ajax	0.0857914
"Chinese Army"	0.0856899
K-State	0.0855678
Fenerbahce	0.0853669
Metz	0.0852458
"Newcastle United"	0.0847413
Mallorca	0.0842724
"Olympique Marseille"	0.0841672
Butyrskaya	0.0841557
MetroStars	0.0840703
Pippig	0.0840211
FSU	0.0839129
"TOMS RIVER"	0.0838419
Fiorentina	0.0838045
Lindland	0.0836663
corinthian	0.0836341
UConn	0.0835042
"Dalian Wanda"	0.0834473
Fulham	0.0826774
Terps	0.082201
Espanyol	0.0818538
Larsson	0.0817083
Atalanta	0.0812792
Stolle	0.0812613
Henman	0.0809833
Heerenveen	0.0806219
Coetzer	0.0805785
Haarhuis	0.0802121
"Renzo Furlan"	0.0801106
Blackhawks	0.0799512
Wolfpack	0.0795961
Hokies	0.0788694
Empoli	0.0788475
wildcat	0.0788296
"Albert Portas"	0.0787294
"Atletico Madrid"	0.0783508
Vols	0.0782812
"Real Sociedad"	0.0780943
Hongyuan	0.0780308
Nacional	0.0778138
Venezia	0.0770507
Cavs	0.0770044
Udinese	0.0769289
"New York-New Jersey MetroStars"	0.0767269
PSG	0.07671
Hawkeyes	0.0766943
Capriati	0.0766344
Safin	0.0766295
"Van Roost"	0.076355
Bucs	0.0762128
Vitoria	0.0761936
Schett	0.0758868
"VfB Stuttgart"	0.0757983
"Colo Colo"	0.0757606
"Borussia Dortmund"	0.0756806
Uri	0.0756571
Kashima	0.0755931
Berasategui	0.0755809
"Paris St Germain"	0.0753039
Kuerten	0.075046
Serna	0.0750037
"Andrei Pavel"	0.0748954
Cornhusker	0.0746891
Edberg	0.0745712
Everton	0.0740729
ASU	0.0738669
"Jorge Campos"	0.0738371
Bastia	0.0737478
Gators	0.0736353
Brondby	0.073472
Prinosil	0.0734266
Rucchin	0.0732979
gopher	0.0732666
Penarol	0.073065
Watford	0.073009
Sanchez-Vicario	0.0729854
"Leeds United"	0.0729677
Testud	0.0729107
Barrasso	0.0728368
Pepperdine	0.0728216
"AC Milan"	0.0726725
Charlton	0.0725819
Nicol	0.0724749
Damm	0.0721288
TCU	0.0720774
Huber	0.0720537
Lareau	0.0719797
"Golden Hurricane"	0.0718911
"Tatiana Panova"	0.0718744
Perugia	0.0716085
"Toronto Maple Leafs"	0.0714006
Dynamo	0.0713097
"N.C. State"	0.0711237
Cipollini	0.0708846
"Maple Leafs"	0.0708786
Timberwolves	0.0706872
Bruguera	0.070566
"Hernan Gumy"	0.0704191
Vacek	0.0703895
"Red Wings"	0.0703472
Razorback	0.0700322
Schalken	0.0700085
"Paul Tergat"	0.069948
ou	0.0696529
"Tara Snyder"	0.0694153
Aamodt	0.0693511
"Mikhail Shtalenkov"	0.0693001
"Glasgow Rangers"	0.0692998
Kaiserslautern	0.0692376
bearcat	0.0689787
Medvedev	0.0688567
Ince	0.0687961
"Kinder Bologna"	0.068766
"Shanghai Shenhua"	0.0686945
Clavet	0.0686573
Parma	0.0685945
"Red Star Belgrade"	0.0685278
Khannouchi	0.0685196
"West Ham"	0.0683996
Guidry	0.0683993
magpie	0.0683414
Unh	0.0681847
Spartan	0.0681591
))
("AEK Athens" (desc 1919.28) (sims
Panathinaikos	0.233487
"Olympiakos Piraeus"	0.212228
Olympiakos	0.205568
"Slavia Prague"	0.182459
Besiktas	0.169551
"Schalke @@"	0.163608
"Kinder Bologna"	0.158078
"FC Porto"	0.152301
"AC Parma"	0.150894
"Partizan Belgrade"	0.149432
"Real Betis"	0.148854
"Albert Portas"	0.147349
"Guangdong Hongyuan"	0.143324
"Velez Sarsfield"	0.137092
Vicenza	0.135156
Cruzeiro	0.134794
"Colo Colo"	0.131902
"Qingdao Hainiu"	0.131845
Palmeiras	0.131376
Nacional	0.130809
"Boca Juniors"	0.127016
Anderlecht	0.126368
"Sarah Pitkowski"	0.126046
"Chinese Army"	0.125583
"Guangzhou Apollo"	0.125523
"VfB Stuttgart"	0.12358
Penarol	0.123027
Auxerre	0.121086
"Shanghai Sharks"	0.120398
AEK	0.119695
"Olympique Marseille"	0.119243
"Hernan Gumy"	0.117955
"San Lorenzo"	0.117861
Dosedel	0.117806
"Jinan Taishan"	0.11778
"Glasgow Rangers"	0.117191
"Athletic Bilbao"	0.116808
"Tatiana Panova"	0.116421
"Jubilo Iwata"	0.116238
"Guillaume Raoux"	0.115558
Gremio	0.115165
"Red Star"	0.114467
"Bradford City"	0.113697
"Sichuan Quanxing"	0.11348
Olimpia	0.113423
"Nathalie Dechy"	0.113312
"Li Fang"	0.113112
Bastia	0.113021
Benfica	0.112614
"Judith Wiesner"	0.112375
"Christian Ruud"	0.112037
"Deportivo La Coruna"	0.111918
"Celta Vigo"	0.111591
"Asa Carlsson"	0.111464
"VfL Wolfsburg"	0.111464
"Arnaud Di Pasquale"	0.109015
Heerenveen	0.108466
"Magdalena Maleeva"	0.108175
"Leicester City"	0.107901
"Sparta Prague"	0.107576
Schalke	0.107278
"Barbara Rittner"	0.106826
"Arnaud Clement"	0.106684
"Barbara Paulus"	0.105816
Fenerbahce	0.105546
"Renzo Furlan"	0.105344
"Alberto Costa"	0.105276
"Croatia Zagreb"	0.105251
"Derby County"	0.105167
"Andrei Pavel"	0.104723
"PSV Eindhoven"	0.104718
"Olga Barabanschikova"	0.104406
"River Plate"	0.104111
"Atletico Madrid"	0.104022
"Brett Steven"	0.103705
"Els Callens"	0.103471
"Arnaud Boetsch"	0.103174
"Adrian Voinea"	0.102968
"Marcelo Filippini"	0.102838
"Andrew Ilie"	0.102835
"Spartak Moscow"	0.102805
"Nicole Pratt"	0.10218
Salernitana	0.102119
"Newcastle United"	0.102057
"Neville Godwin"	0.101903
Rosenborg	0.10188
"Galo Blanco"	0.101576
"Coventry City"	0.101415
Sampdoria	0.100898
"Gianluca Pozzi"	0.100879
Spartak	0.100878
Zamalek	0.100821
corinthian	0.100778
"Franco Squillari"	0.100727
"Guy Forget"	0.100579
Necaxa	0.10053
"Dalian Wanda"	0.0995935
"Vincent Spadea"	0.0994514
Feyenoord	0.0988349
"Xavier Malisse"	0.0988114
"Sebastien Lareau"	0.0986387
"Shanghai Shenhua"	0.0986075
"Kenneth Carlsen"	0.098449
"Andreas Vinciguerra"	0.0981999
"Dynamo Kiev"	0.0981637
"Jerome Golmard"	0.0981282
"Michael Tebbutt"	0.0979791
Hongyuan	0.0979044
"Tara Snyder"	0.0978404
"Younes El Aynaoui"	0.0973456
"Sabine Appelmans"	0.0973424
"Sergi Bruguera"	0.096931
"Leeds United"	0.0968318
"Hertha Berlin"	0.0967923
"Mariano Zabaleta"	0.0961706
"Bayer Leverkusen"	0.0956863
Wolfsburg	0.0955425
Shenhua	0.0954607
"Karim Alami"	0.0953057
Brondby	0.0952903
Piraeus	0.0947796
"Magui Serna"	0.0946677
"Borussia Dortmund"	0.0942725
"Vladimir Samsonov"	0.094159
Galatasaray	0.0936615
Torino	0.0935459
"Kristie Boogert"	0.093078
"Scott Draper"	0.0926989
"Carlos Costa"	0.0925842
"Francisco Clavet"	0.0925622
Ulihrach	0.0923272
"Naoko Sawamatsu"	0.0922009
"Beijing Ducks"	0.0919143
"Nottingham Forest"	0.0915492
"Tottenham Hotspur"	0.0913384
Freiburg	0.091226
Estudiantes	0.0910469
Valladolid	0.0909963
"Daniel Nestor"	0.0909825
"Barbara Schwartz"	0.0909508
Habsudova	0.0909011
"Gong Ruina"	0.0907231
"Roger Federer"	0.0906325
"Catalina Cristea"	0.0902769
"Leander Paes"	0.0899947
"Anne Kremer"	0.0898098
Meligeni	0.0890449
"Brenda Schultz-McCarthy"	0.088849
Piacenza	0.0887825
"Mariano Puerta"	0.088625
"Silvia Farina"	0.0885799
"Yayuk Basuki"	0.0885582
"Sebastien Grosjean"	0.0884554
"Fabrice Santoro"	0.0882993
"David Prinosil"	0.088225
"Rita Grande"	0.0881499
"Amy Frazier"	0.0881066
"Rainer Schuttler"	0.0875953
"Filip Dewulf"	0.0875386
"Javier Sanchez"	0.087511
"Richard Fromberg"	0.0874784
"Miriam Oremans"	0.0874414
"Real Sociedad"	0.0872161
Vitoria	0.0871066
"Andrea Gaudenzi"	0.0869108
"Kim Clijsters"	0.0865258
"Paris St Germain"	0.0863244
"Andrei Medvedev"	0.085575
"Ajax Amsterdam"	0.0854938
Udinese	0.0854674
"Albert Costa"	0.0852521
"Inter Milan"	0.0851641
"Nicolas Lapentti"	0.0851291
"Sargis Sargsian"	0.0851239
"Joannette Kruger"	0.0851203
"Borussia Moenchengladbach"	0.0850285
"Patty Schnyder"	0.0849105
"Paola Suarez"	0.0847901
Mallorca	0.0847817
"Wang Shi-Ting"	0.0845528
Raoux	0.0843255
"Ji Xinpeng"	0.0841487
"Natasha Zvereva"	0.0838844
Sevilla	0.0838614
"Juan Antonio Marin"	0.0838323
"John Van Lottum"	0.0836975
Salonica	0.0835491
Cagliari	0.0831889
"Fernando Meligeni"	0.0826935
"Michael Stich"	0.0826884
"Wayne Black"	0.0826522
Obilic	0.0825126
"Slovak Republic"	0.0824594
Espanyol	0.0824327
Rostock	0.0823241
Kaiserslautern	0.0820525
"Los Angeles Galaxy"	0.0817705
"Zhang Ning"	0.0817293
"Sandrine Testud"	0.0816342
"Gong Zhichao"	0.0815874
))
("Aeneas Williams" (desc 2103.77) (sims
"Darrell Green"	0.292978
"Aaron Glenn"	0.229792
"Jason Sehorn"	0.214225
"Ty Law"	0.197924
"Lomas Brown"	0.188625
"Ray Buchanan"	0.186692
"Dale Carter"	0.171095
"Sam Madison"	0.16789
"Chris McAlister"	0.165456
"Ronnie Bradford"	0.162279
"Michael Booker"	0.161531
"Charles Woodson"	0.159579
"Otis Smith"	0.157082
"Dwayne Goodrich"	0.143743
"Mario Edwards"	0.1366
"Eric Swann"	0.13247
"Ryan Roques"	0.130167
"Kevin Mathis"	0.129554
"Warren Sapp"	0.128203
"Dave McGinnis"	0.126325
"Adrian Murrell"	0.121775
"Rob Moore"	0.121676
"Phillippi Sparks"	0.12038
"Darrien Gordon"	0.11908
"Deion Sanders"	0.113803
"Champ Bailey"	0.113491
"Andre Wadsworth"	0.113354
"Kevin Smith"	0.112662
"Michael Strahan"	0.110137
"Larry Allen"	0.109437
"Antonio Langham"	0.106801
"Marques Anderson"	0.105378
"Dexter Coakley"	0.104554
"Steve Israel"	0.0996414
"Jason Bell"	0.099576
"Simeon Rice"	0.099199
"Tebucky Jones"	0.0975263
"Jamir Miller"	0.0963442
"John Lynch"	0.0962411
"Charlie Williams"	0.0960521
"Dave Thomas"	0.0947124
"Zach Thomas"	0.0923055
"Bruce Armstrong"	0.0905161
"Mo Lewis"	0.0904615
"Chris Canty"	0.0900289
"Chad Brown"	0.0899718
"Jessie Armstead"	0.0894899
"Leon Lett"	0.0886333
"Jose Jimenez"	0.0883082
"Darren Woodson"	0.0877592
"Daryl Johnston"	0.083348
Sundin	0.0820155
"Bob Whitfield"	0.0811937
"Steve Atwater"	0.0811493
"Ray Lankford"	0.0789242
"Tom Lampkin"	0.0786322
Bly	0.0777846
"Tom Barrasso"	0.0773361
"Matt Morris"	0.0765377
"Russ Ortiz"	0.0742245
cornerback	0.0729446
"Cris Carter"	0.0723461
Woodson	0.0723233
"Frank Sanders"	0.0698321
"Erik Williams"	0.069262
"John Vanbiesbrouck"	0.0690921
"Reggie White"	0.0680944
"Larry Centers"	0.067921
Artest	0.0676569
Storr	0.0673992
"David Boston"	0.0671938
"Ray Lewis"	0.0669416
"Bruce Matthews"	0.0667855
"Eugene Robinson"	0.0664619
"Shannon Sharpe"	0.0656001
"Guy Carbonneau"	0.0653652
"Mike Alstott"	0.0649863
"Brian Leetch"	0.0647464
Starks	0.0647359
"Chris Chandler"	0.0644622
"JEVON KEARSE"	0.0641345
"Jake Reed"	0.0639346
"Tony George"	0.0638147
"Larry Brown"	0.0631236
"Wilson Alvarez"	0.0627248
"Jake Plummer"	0.0626737
"Jessie Tuggle"	0.0623204
"Bryant Young"	0.0621547
"Michael Irvin"	0.0616118
"Dave Brown"	0.0615645
"Blaine Wilson"	0.0612429
"Jumbo Elliott"	0.0609787
"Armando Reynoso"	0.0603577
"Flozell Adams"	0.0599718
"Mark Smith"	0.0599445
Brunell	0.0598578
"Eric Davis"	0.0598376
booker	0.0597024
"Mike Mussina"	0.0592825
Jonsson	0.0590357
Sidot	0.0589555
"Wayne Chrebet"	0.057866
Romario	0.0578159
"Erubiel Durazo"	0.0571941
"Jesse Orosco"	0.0568025
Zambrano	0.0567898
"Isaac Bruce"	0.0564278
"Brad Penny"	0.056231
"Darren Oliver"	0.0554155
"Jimmy Spencer"	0.0552086
Meggett	0.0550671
"Bill Romanowski"	0.0547232
"Jerome Bettis"	0.0546613
"Jamie Moyer"	0.054427
"Terry Allen"	0.0543886
Beckenbauer	0.0543463
"Mike Vernon"	0.0542011
"Chris Warren"	0.0541374
"Byung-Hyun Kim"	0.0541252
"Gregg Olson"	0.0540203
"L.J Shelton"	0.0538923
"Bo Jackson"	0.0538534
"J.D Drew"	0.0537831
Wadsworth	0.0536183
Benes	0.0531836
"Ken Daneyko"	0.05315
"George Teague"	0.0527982
Leetch	0.0524451
"Jon Lieber"	0.0524322
"Charlie Batch"	0.0524076
"Richard Jefferson"	0.0522086
Mercker	0.0521047
"Antonio Freeman"	0.0520819
"HERMAN MOORE"	0.0520221
Brogna	0.0520157
"Pat Hentgen"	0.0516874
"William White"	0.051513
"NBA All-Star"	0.0514367
"Brian Anderson"	0.0513857
Okada	0.0513751
"Guy Hebert"	0.0511798
"Dale Hunter"	0.0511384
"Mark Langston"	0.0510946
"Mark Stepnoski"	0.0510501
"Darren Bragg"	0.0508858
Celia	0.0508115
"Don Sweeney"	0.0506788
"Rodney Peete"	0.0506212
"Jamal Anderson"	0.0504307
"Ken Schrader"	0.0503716
"Chuck Finley"	0.0503066
"Kent Bottenfield"	0.0502865
"Gary Gaetti"	0.0502813
LaPointe	0.0502634
Maggette	0.0501641
"Andy Benes"	0.0501162
Lassiter	0.0500243
"Omar Daal"	0.0499729
"Jeff Blake"	0.0498647
"Al Unser Jr."	0.0498161
DiSarcina	0.0498064
"Todd Stottlemyre"	0.0497634
Barrasso	0.0497579
"Chuck Smith"	0.0496969
"Pro Bowler"	0.0496879
"Gheorghe Hagi"	0.0496734
"Pedro Astacio"	0.0496358
Tendulkar	0.0494566
Suppan	0.0491748
"Ortege Jenkins"	0.0490954
"Carson Palmer"	0.049054
"Jermaine Lewis"	0.0489288
"John Randle"	0.0489094
"Joey Galloway"	0.048812
"Vinny Testaverde"	0.0488004
"Trent Dilfer"	0.0487056
"Heath Irwin"	0.0486553
"Damian Rhodes"	0.0485307
"Pete Harnisch"	0.0485221
"Gil Heredia"	0.0483679
"Tim Brown"	0.0483148
"Greg Ellis"	0.0480281
"Rick Tocchet"	0.048004
"Ron Harper"	0.0479849
"Brian Bohanon"	0.0479375
"Brian Scalabrine"	0.0479132
Marinovich	0.0478974
"Derrick Thomas"	0.0477784
"Michelle Akers"	0.0477732
"Mike Morgan"	0.0477526
"Keyshawn Johnson"	0.0476796
"Darrin Smith"	0.047674
"Francisco Cordova"	0.0476211
"Yu Zhuocheng"	0.0475227
"Charlie Ward"	0.0474821
Legace	0.0474694
"Bryon Russell"	0.0474509
"Chad Morton"	0.0473943
Tillman	0.0472788
McQueen	0.0467918
))
(aerial (desc 5878.47) (sims
halfpipe	0.108284
epee	0.101812
skeet	0.10165
"cross country"	0.099376
"ski jumping"	0.0885455
"ski jump"	0.0882262
"World Championship"	0.0854072
biathlon	0.0840892
EuroLeague	0.0806534
Super-G	0.0798237
"hammer throw"	0.0737187
snowboard	0.0735104
gunship	0.0718974
triathlon	0.0699943
bobsled	0.0699085
skiing	0.0694984
scull	0.0685887
artillery	0.0684604
mogul	0.0682094
bodybuilding	0.0670342
luge	0.0658736
pentathlon	0.0639112
"relay race"	0.0636157
slalom	0.0623533
MiG-@@s	0.0614696
"American plane"	0.0614456
"field hockey"	0.0606336
"Pan Pacific"	0.0603339
Heptathlon	0.0599805
"ad blitz"	0.0589055
"shot put"	0.0587681
archery	0.0586119
"air attack"	0.0579123
"Grand National"	0.0577099
"figure skating"	0.0572549
"air raid"	0.0572538
"Golden League"	0.0555828
"water polo"	0.0551129
"high jump"	0.0545456
Scud	0.0544607
javelin	0.0544161
"National League West"	0.0544051
"long jump"	0.0542874
freestyle	0.0541362
around-the-clock	0.0539124
decathlon	0.0538584
"skiing race"	0.053424
NHRA	0.0531898
pre-Olympic	0.053101
saber	0.0525488
"ski race"	0.0525446
real-time	0.0524193
steeplechase	0.0518294
"middle distance"	0.0516919
judo	0.0508147
"three-day event"	0.0506593
"Home Run Derby"	0.0503593
bombardment	0.0500441
"pole vault"	0.0499508
B-@@	0.0498323
ATP	0.0495793
antenna	0.0494869
"Pan Ams"	0.0492236
shelling	0.0491285
"stroke play"	0.0489525
"Championship Auto Racing Teams"	0.048735
"Uber Cup"	0.0485541
"clean and jerk"	0.0483279
"National Invitation Tournament"	0.0483221
under-@@	0.0483159
"Italian Cup"	0.0482922
cycling	0.0479159
Ironman	0.0479135
"Sydney Olympic"	0.0474545
weightlifting	0.0473868
backstroke	0.0472884
"pommel horse"	0.0469971
"Busch Series"	0.0469217
"Fed Cup"	0.0468901
breaststroke	0.0468322
Skating	0.0466945
three-meter	0.0465197
Gymnastics	0.0464574
bomber	0.0464479
badminton	0.0463747
relays	0.0463737
"parallel bars"	0.0463326
slam-dunk	0.0463318
fighter-bombers	0.0462292
"Indy Racing League"	0.0460883
"ice hockey"	0.0459275
"Skate America"	0.0457908
volleyball	0.0456246
"Busch Grand National"	0.0454859
"health check"	0.0454591
"round robin"	0.0454346
"basketball league"	0.0452309
wrestling	0.045165
"European Cup"	0.045026
round-the-clock	0.0447386
reconnaissance	0.0446188
WTA	0.0443669
"Alberto Tomba"	0.044247
"table tennis"	0.0441943
weatherman	0.0440696
"Nations Cup"	0.0440149
discus	0.0438426
warplanes	0.043807
dressage	0.04348
"Oak Tree"	0.0433158
"weapons system"	0.0431959
"World League"	0.0429856
"rehabilitation program"	0.0427045
taekwondo	0.0426734
A-@@	0.0423943
voice-overs	0.0422449
"cluster bomb"	0.0421717
"Grand Prix"	0.0421605
pistol	0.0420953
MiGs	0.0420249
F-@@s	0.0419643
rowing	0.0417867
spacewalks	0.0415358
"horizontal bar"	0.0414621
decoder	0.041436
spraying	0.0413703
trampoline	0.0413367
"National League East"	0.041212
"Pan Am"	0.0410531
"John Malone"	0.0408948
acrobatics	0.0408755
"mortar fire"	0.0408458
"won six"	0.0405197
"Hopman Cup"	0.040374
"educational program"	0.0402891
constructor	0.0402758
snooker	0.0402564
"Top Fuel"	0.0402375
Iditarod	0.0401273
"medical exam"	0.0401191
"patrol boat"	0.0400898
))
(aero (desc 1754.31) (sims
V@@	0.0877882
"gas turbine"	0.0822286
Cummins	0.0692741
"caller ID"	0.0664386
visor	0.0656194
aftermarket	0.0639172
"Palm VII"	0.063529
WAP	0.0625641
Thinkpad	0.0622087
"Pratt &AMP; Whitney"	0.0609079
"Palm Pilot"	0.0607304
videophone	0.0606859
AMT	0.0601788
PalmPilot	0.0586834
led	0.0579694
combustion	0.0574357
personalization	0.057352
V-@@	0.0572083
"Alta Vista"	0.0567655
ADSL	0.0560159
Infiniti	0.0547955
filtering	0.0537454
Z@@	0.0528959
"billion dollar"	0.0527013
Caltrans	0.0520182
Blown	0.0509202
Acela	0.0506902
Google	0.0501567
GT	0.0498327
iBook	0.0498178
nuts-and-bolts	0.0485829
multibillion	0.0481713
mem	0.0481509
Sade	0.0467965
SDMI	0.0460519
IC	0.04587
Micron	0.0457075
Webcam	0.045171
Inline	0.0450248
add-on	0.0447072
refrigeration	0.0440436
"face saving"	0.0437227
Prius	0.0433292
House-Senate	0.0428985
CDMA	0.0428605
SDH	0.0418528
"Game Boy"	0.0414357
Penske	0.0413656
propulsion	0.0412302
forklift	0.041161
WINDSTAR	0.0407617
colorblind	0.0406104
Turgeon	0.0404317
biogas	0.0402889
))
(aerobics (desc 5586.3) (sims
yoga	0.162338
karate	0.142142
"ballroom dancing"	0.123382
"horseback riding"	0.117967
Gymnastics	0.116366
rowing	0.113431
"martial art"	0.111349
"physical education"	0.108912
jogging	0.10366
bicycling	0.103262
calisthenics	0.103161
weightlifting	0.101796
judo	0.0979505
"ice skating"	0.0970634
cycling	0.096999
catechism	0.0955797
swimming	0.0883413
"adult education"	0.0855023
"scuba diving"	0.085367
skateboarding	0.0834735
volleyball	0.0831917
"mountain climbing"	0.0828482
Skating	0.0807596
archery	0.0794722
hiking	0.0776399
fencing	0.0770414
mambo	0.0762488
"water polo"	0.075634
tennis	0.0755529
"table tennis"	0.0751873
fitness	0.0741997
Bowling	0.0734201
pentathlon	0.0733919
"rock climbing"	0.071605
taekwondo	0.0704669
"figure skating"	0.0698544
boxing	0.0689419
civics	0.0689351
karaoke	0.0686871
wrestling	0.06849
acrobatics	0.064167
badminton	0.0635176
bodybuilding	0.0632736
"physical therapy"	0.0629842
Wushu	0.0624838
triathlon	0.0619315
golfing	0.0616178
massage	0.0607581
athletics	0.0602998
striptease	0.0595606
skiing	0.059045
sixth-grade	0.0581739
"Sunday school"	0.0581024
"roller skating"	0.0576508
CPR	0.0570983
chess	0.0567039
"public speaking"	0.0561584
ballet	0.056114
"track and field"	0.0555861
martial-arts	0.0548025
"sixth grade"	0.0547301
tutoring	0.054546
luge	0.0540365
algebra	0.0538589
swordplay	0.0536858
grooming	0.0535962
surfing	0.0527948
"special education"	0.0527027
diving	0.0524164
"second grade"	0.0524039
Frisbee	0.0523183
equestrian	0.0522275
meditation	0.0518221
"first aid"	0.0517946
woodworking	0.0517908
"modern dance"	0.0516188
"Dirty Bird"	0.0508436
psychotherapy	0.0507086
takraw	0.050637
"piano lesson"	0.0504399
mime	0.0502461
"dance step"	0.0501608
fly-fishing	0.0496677
Yachting	0.049329
"Kung Fu"	0.0491589
"ice hockey"	0.0491186
"fifth grade"	0.0489891
math	0.0486702
"Home Run Derby"	0.0481924
sociology	0.0481757
tango	0.0480829
softball	0.0474326
Qigong	0.0473066
retraining	0.0471978
snorkeling	0.0471278
conditioning	0.0470686
boating	0.0468229
handball	0.0464734
forensics	0.0462384
"Weight Watchers"	0.0461335
choir	0.0460717
calculus	0.0460205
photography	0.0459369
"computer programming"	0.045854
typing	0.0452574
gardening	0.0451978
quilting	0.045012
immersion	0.0449051
"chamber music"	0.0448679
trampoline	0.0442187
psychology	0.0441569
"first grade"	0.0441013
sailing	0.044051
"third grade"	0.0440457
"Top Fuel"	0.0439591
flamenco	0.0436406
sumo	0.0435398
"field hockey"	0.0434106
two-step	0.0433928
desalination	0.0428075
"fine arts"	0.042794
mathematics	0.0427584
acupuncture	0.0427035
"folk dance"	0.0426751
Riverdance	0.0425747
modeling	0.0424734
on-campus	0.0424633
"cosmetic surgery"	0.0421119
calligraphy	0.0420199
penmanship	0.0419743
marksmanship	0.0419508
"Beijing Opera"	0.0418875
Pe	0.0417286
billiards	0.0416713
agility	0.0413494
"civic duty"	0.0411551
Talmud	0.0410724
biathlon	0.0408089
mammography	0.0407766
entrepreneurship	0.0405396
literacy	0.0404732
turbogenerator	0.0402796
"computer graphics"	0.0402324
))
(aerodynamics (desc 2916.64) (sims
windscreen	0.107668
undercarriage	0.0905233
physics	0.0794648
"suspension system"	0.0771963
ergonomics	0.0763265
"urban planning"	0.0729657
genetics	0.0727294
"artificial intelligence"	0.0720928
"particle physics"	0.0705865
aeronautics	0.0701564
biochemistry	0.0675437
"glove compartment"	0.0670291
microbiology	0.0668784
"medical science"	0.0665216
bumper	0.0663786
"nuclear physics"	0.0628916
"catalytic converter"	0.0628647
"social science"	0.0622132
"ventilation system"	0.0609537
biology	0.0602806
robotics	0.0586305
"human factor"	0.0582014
"environmental condition"	0.0580167
chassis	0.0568012
propulsion	0.056538
"front end"	0.0564485
steering	0.0555788
"weather forecasting"	0.0554451
ecology	0.0551049
meteorology	0.0547396
pharmacology	0.0546372
"chemical engineering"	0.0546269
nutrition	0.054496
criminology	0.0540079
"electrical engineering"	0.0539663
metallurgy	0.0536683
axle	0.0534752
"biological science"	0.0532147
headlight	0.0531508
"computer science"	0.0525636
"electrical system"	0.0519645
conservancy	0.0516501
dynamics	0.0514075
reliability	0.0512792
mechanization	0.0511829
hydrology	0.0511693
"instrument panel"	0.0503927
punctuality	0.0498146
pathology	0.0490836
acoustic	0.0484149
physiology	0.0482277
oceanography	0.0481092
optic	0.0478972
mathematics	0.0478139
geology	0.04772
"life science"	0.0471845
Immunology	0.0470446
ignition	0.0468763
"transportation system"	0.0459721
windshield	0.0455673
"chemical industry"	0.0455349
"comparative literature"	0.0455137
marksmanship	0.0453711
"creature comforts"	0.0449465
automation	0.0443663
"rear window"	0.0441221
hydraulics	0.0439595
"hydraulic system"	0.0437372
"quality control"	0.0436998
"civil engineering"	0.0436842
"fuel system"	0.0433745
wheelbase	0.0433691
"mechanical engineering"	0.0433382
"power system"	0.0433194
"cooling system"	0.0432077
eyesight	0.0429062
"steering wheel"	0.0428795
"night vision"	0.042877
seismology	0.0428705
"investment climate"	0.0428408
"computer technology"	0.0426083
"city planning"	0.0425248
epidemiology	0.0423315
carburetor	0.0422876
"shareholder value"	0.0419582
"arms control"	0.0419096
"environmental science"	0.0416839
astronomy	0.0416653
machine-building	0.0416231
"communications technology"	0.0413692
"military capability"	0.0412429
"jet engine"	0.0410019
agility	0.0406644
"communication system"	0.0406367
bioengineering	0.040511
velocity	0.0403815
agro-technology	0.0403808
dashboard	0.0402259
))
(Aeroflot (desc 2052.17) (sims
"El Al"	0.280877
JAT	0.263879
"Kenya Airways"	0.244685
Qantas	0.24182
Garuda	0.219533
"Cathay Pacific"	0.217594
Lufthansa	0.210582
KLM	0.201143
EgyptAir	0.196974
Iberia	0.196836
"Air China"	0.194495
"Korean Air"	0.193691
Alitalia	0.185852
"Gulf Air"	0.179414
Swissair	0.178641
"Air Lanka"	0.176264
Varig	0.175935
Dragonair	0.169881
"Indian Airlines"	0.164719
"Turkish Airlines"	0.160163
"British Airways"	0.159871
Biman	0.155117
"Southwest Airlines"	0.152814
"Thai Airways"	0.152466
"Air France"	0.151854
"China Airlines"	0.147695
"Cathay Pacific Airways"	0.147147
Comair	0.14713
Aeromexico	0.146993
"Vietnam Airlines"	0.144388
"Air India"	0.143068
Sabena	0.142975
"China Southern Airlines"	0.139057
"Ethiopian Airlines"	0.133194
USAir	0.132045
"Philippine Airlines"	0.129223
AIRTRAN	0.126806
"Continental Airlines"	0.125153
"America West"	0.123162
"Singapore Airlines"	0.119292
"Northwest Airlines"	0.119265
"Alaska Airlines"	0.116861
"Air Canada"	0.114962
"American Airlines"	0.114869
"South African Airways"	0.111738
JAL	0.110382
Mig	0.110255
"Virgin Atlantic"	0.109259
"Japan Airlines"	0.109196
"China Eastern Airlines"	0.108251
"Delta Air Lines"	0.107048
"United Airlines"	0.10634
"American eagle"	0.10614
"Reno Air"	0.105097
SAS	0.103154
widebody	0.103149
"Airbus A@@@"	0.102877
DC-@@	0.100367
TWA	0.0990005
TU-@@@	0.0976802
"Pan Am"	0.0964186
"Defense Agency"	0.0960406
"US Airways"	0.0944296
emirate	0.0939492
"Trans World Airlines"	0.0935898
ATC	0.0931132
Cathay	0.0922179
CAAC	0.0911581
A@@@-@@@	0.0904194
delta	0.0902663
"Thai Airways International"	0.0885935
C-@@	0.0884983
CNOOC	0.0883464
"Air France Concorde"	0.0882869
IAI	0.0877183
A-@@@	0.087388
Nepa	0.0853867
"MCI Worldcom Inc."	0.085324
"Eastern Airlines"	0.0833735
"China National Petroleum Corporation"	0.0827197
"Indian Air Force"	0.0817831
Airlines	0.0812063
"U.S. Air Force"	0.0811418
"Chrysler Corp."	0.0796669
Il-@@	0.0793401
"Delta Airlines"	0.079076
Pemex	0.0774307
TYCO	0.0771923
SAA	0.0766221
P-@	0.0762983
"Thermo Electron"	0.0762395
"Royal Air Force"	0.0762121
"Enron Corp."	0.0754193
AMR	0.0753653
Fedex	0.0753547
turboprop	0.074775
"U.S. Immigration and Naturalization Service"	0.0747705
"Federal Express"	0.0744933
Scripps	0.0744138
"Hyundai Motor Co."	0.0743934
"United Parcel Service"	0.0737926
A@@@	0.0735113
Hasbro	0.0734717
"Health and Welfare Ministry"	0.0731327
Telebras	0.0729205
double-decker	0.0726541
Airbus	0.0723233
"Gap Inc."	0.0722619
"McDonnell Douglas"	0.0718343
Lukoil	0.071691
Concorde	0.0715039
"China Unicom"	0.0713785
"Israeli Foreign Ministry"	0.0713109
A@XX	0.0712325
"De Beers"	0.0709295
"Allied Pilots Association"	0.070875
"ticket agent"	0.0707061
Pertamina	0.0704844
CMGI	0.069954
"Department of Public Health"	0.069907
DC-@	0.0698327
SU-@@	0.0696184
"Procter &AMP; Gamble Co."	0.0694379
MiG-@@	0.0693353
"Public Security Ministry"	0.0691309
REIT	0.0689946
KPA	0.068977
SEPA	0.0685985
Asa	0.0685324
"SBC Communications Inc."	0.0683251
"International Red Cross"	0.0683125
"BellSouth Corp."	0.0678871
UTA	0.0678364
"Nigerian National Petroleum Corporation"	0.0676589
COSCO	0.0675659
"America West Airlines"	0.0675136
"State Administration of Taxation"	0.0674088
UAL	0.0673176
Gazprom	0.0671172
IAF	0.0667963
Cargill	0.0667234
GANNETT	0.0665352
ValuJet	0.0664972
"San Francisco Museum of Modern Art"	0.0662657
"Civil Aviation Administration of China"	0.06595
PTT	0.0657438
"Transport Ministry"	0.0654934
"blue angel"	0.0653219
"State Bureau of Environmental Protection"	0.0652591
Scientific-Atlanta	0.0651087
"patent office"	0.0646272
Kodak	0.0645334
Adelphia	0.0638976
Nestle	0.0638886
Harrier	0.0638167
"Airbus @@@"	0.0635156
"Ministry of International Trade and Industry"	0.0632408
X-@@	0.0630701
C-@	0.0630447
"planning commission"	0.062989
BOC	0.0629817
"Boeing company"	0.0628633
"Tribune Co."	0.0628203
MD	0.0625771
"Hyundai Group"	0.0625164
SFX	0.062391
Daimler	0.0622831
Publicis	0.0621767
"Presidential Office"	0.0617034
Belo	0.0616502
Hyundai	0.0614455
ExciteAtHome	0.0613512
AWACS	0.0607369
"General Motors Corp."	0.0605785
CUC	0.0602975
Ansett	0.060297
"electronic warfare"	0.0601792
Petronas	0.0599757
"Russian Space Agency"	0.0599344
EA	0.0599303
"Rite Aid"	0.0598643
USEC	0.0597316
Oneidas	0.0597222
"Hearst Corp."	0.0597118
Telkom	0.0590661
"United Nations High Commission for Refugees"	0.0589411
"Sprint Corp."	0.0589294
HKTA	0.0587958
JetBlue	0.0587821
Federated	0.0587421
warthog	0.058631
"Board of Elections"	0.0585057
"State Forestry Administration"	0.0583291
YankeeNets	0.0582882
"Ford Motor Co."	0.0582432
Novartis	0.0581794
"State Bureau of Cultural Relics"	0.0580262
Gulfstream	0.0579706
DoCoMo	0.0575648
"UAL Corp."	0.0575486
))
(Aeromexico (desc 1268.27) (sims
Iberia	0.190314
TWA	0.185809
Comair	0.182196
"Continental Airlines"	0.167536
"Air Canada"	0.157162
AIRTRAN	0.157044
Asa	0.151405
Swissair	0.149499
KLM	0.148474
"America West"	0.148345
"Trans World Airlines"	0.147821
Aeroflot	0.146993
"Eastern Airlines"	0.14034
"US Airways"	0.139105
continental	0.138957
"El Al"	0.1384
"American eagle"	0.138171
USAir	0.132445
SAA	0.132233
"United Airlines"	0.130791
"Northwest Airlines"	0.129601
"Thermo Electron"	0.126128
"Korean Air"	0.125059
"Alaska Airlines"	0.122817
Qantas	0.12099
"Thai Airways"	0.119056
"Air Lanka"	0.118326
"British Airways"	0.115277
Varig	0.115023
"Air China"	0.114871
"Delta Air Lines"	0.112341
Sabena	0.112131
"Air India"	0.111122
Ansett	0.108515
delta	0.106452
Dragonair	0.105649
Lufthansa	0.105181
"Cathay Pacific"	0.103875
JAT	0.103847
MEA	0.103172
"America West Airlines"	0.102686
"Air France"	0.102085
"American Airlines"	0.101323
"Southwest Airlines"	0.0979956
EgyptAir	0.0974759
"Allied Pilots Association"	0.096054
"Gulf Air"	0.0958695
UAL	0.0953728
Warnaco	0.0949697
"Japan Airlines"	0.0948327
"Kenya Airways"	0.0925395
"Delta Airlines"	0.0913661
JAL	0.0912089
"China Airlines"	0.0900812
Alitalia	0.0899596
"Pan Am"	0.0894316
Cathay	0.0887864
Biman	0.0885713
Garuda	0.0840776
SAS	0.0812576
"Indian Airlines"	0.0808586
"Turkish Airlines"	0.0788145
"Cathay Pacific Airways"	0.0779137
VENATOR	0.0772521
"Singapore Airlines"	0.0771768
"Ethiopian Airlines"	0.0762883
JetBlue	0.0761058
"Vietnam Airlines"	0.0747263
Amtrak	0.0746364
AMR	0.0729152
"Association of Flight Attendants"	0.072882
Airlines	0.0724849
"South African Airways"	0.0716268
Marketspan	0.070868
"China Southern Airlines"	0.0705492
"Ocean Spray"	0.0686775
Arnault	0.0685838
"China Eastern Airlines"	0.0669126
"Virgin Atlantic"	0.0667845
roundtrip	0.0665703
widebody	0.0663862
Wachovia	0.0651808
"Transport Ministry"	0.0645112
Ba	0.0643035
"Malaysia Airlines"	0.0639124
RJR	0.0632977
"National Grid"	0.063105
IDT	0.0628155
"Air Line Pilots Association"	0.0624856
"Bankers Trust"	0.0617346
"Air France Concorde"	0.0616992
Fedex	0.0612572
"Thai Airways International"	0.061122
REPSOL	0.0608551
PictureTel	0.0608499
APA	0.0605431
"Civil Aviation Authority"	0.0604193
Mig	0.0601246
ENTERGY	0.0600324
"Reno Air"	0.0591024
Totalfina	0.0580169
"Stride Rite"	0.0574982
Toysmart	0.0567361
"Phelps Dodge"	0.0565569
"Chronicle Publishing"	0.0559887
"machinists union"	0.0558068
Starwood	0.0556433
"Indian Air Force"	0.0554086
DC-@@	0.0552116
Litton	0.0550535
"UAL Corp."	0.0550346
"Air Transport Association"	0.054825
Pacifica	0.0535333
TYCO	0.0534953
Danka	0.053441
"Cox Communications"	0.0529301
SGI	0.0528391
CIRC	0.0528048
Cerent	0.0524457
OPIC	0.0523989
"Federal Express"	0.0521973
NORTHROP	0.0518358
TAZARA	0.0517536
Priceline	0.0516099
ValuJet	0.0514876
A-@@@	0.0513995
"Royal Bank"	0.0511268
Delphi	0.051096
IAI	0.0510564
NiSource	0.0510445
"McDonnell Douglas"	0.0510266
Humana	0.0504858
Gymboree	0.0504711
Airways	0.0502372
"Allied Signal"	0.0501559
COLTEC	0.0501229
"Airbus A@@@"	0.0499243
no-frills	0.0498063
Wada	0.0497656
CAAC	0.0497254
Oneidas	0.0496544
GANNETT	0.0493212
Walgreens	0.0491707
"blue angel"	0.0491001
"bus company"	0.0489367
"British Telecommunications"	0.0485697
Unicom	0.0484237
McKesson	0.0484136
CSX	0.0483096
ATHOME	0.0481423
NatWest	0.0479036
F.A	0.0476096
"Bank of Scotland"	0.0475386
Scripps	0.0475223
MARKETWATCH	0.0470809
"Philippine Airlines"	0.046698
UTA	0.0466609
LIFFE	0.0462801
CSA	0.045641
PLN	0.0456274
Omnipoint	0.0454221
Daimler	0.0453877
Webvan	0.0453852
AFA	0.0451265
"Visa International"	0.0450875
"Niagara Mohawk"	0.0448105
Alcan	0.0447537
UNAMET	0.0446827
IAF	0.0446519
Getty	0.0446389
EA	0.0445232
MTA	0.0443548
"Total Fina"	0.0439823
Halliburton	0.0438498
Tenneco	0.0437996
CellPro	0.0437345
"close to @,@@@"	0.043671
Alltel	0.0434133
"Port Authority"	0.0432733
REVLON	0.0431699
ATC	0.0431335
"Big Blue"	0.0430005
"P&AMP;G"	0.0429657
Copley	0.0428619
ExciteAtHome	0.0428517
"IG Metall"	0.0428091
redeye	0.0426814
CPS	0.0426111
"Sara Lee"	0.0425963
Gulfstream	0.0425104
"Football Association"	0.0423343
Vivendi	0.0423327
Pemex	0.0422504
"BP Amoco"	0.0422245
RAMBUS	0.0420522
"Boeing company"	0.0418845
TU-@@@	0.0416571
Yamaichi	0.0415483
Harrier	0.0415149
"union representative"	0.0414922
))
(aeronautics (desc 3667.37) (sims
aerospace	0.172133
metallurgy	0.164962
aviation	0.162126
bioengineering	0.15939
shipbuilding	0.157113
meteorology	0.155981
"civil engineering"	0.146412
"mechanical engineering"	0.146152
machine-building	0.13973
microbiology	0.137247
"electrical engineering"	0.127118
engineering	0.126377
"chemical industry"	0.125903
"chemical engineering"	0.125591
forestry	0.118336
petrochemical	0.117587
Microelectronics	0.116323
radiology	0.115528
telecommunication	0.114709
"urban planning"	0.114373
seismology	0.11409
"life science"	0.111487
obstetrics	0.110919
ophthalmology	0.110169
"preventive medicine"	0.109512
epidemiology	0.109487
"biological science"	0.108826
"computer science"	0.106723
Botany	0.105619
"electric power"	0.103305
geology	0.0996298
astronomy	0.098993
"social work"	0.0986561
criminology	0.0983493
conservancy	0.0978556
"earth science"	0.096563
counterterrorism	0.0960357
electronics	0.0952392
"comparative literature"	0.0944856
biotechnology	0.0935995
horticulture	0.0925322
fishery	0.0923047
"consumer product"	0.0919282
Urology	0.0915312
aquaculture	0.0914075
"medical science"	0.0913309
biology	0.0904526
pharmacology	0.0894176
neurobiology	0.0873507
"nuclear energy"	0.0870571
"city planning"	0.08681
"information system"	0.0865548
transportation	0.086464
biochemistry	0.0858111
"building material"	0.0835748
genetics	0.0835044
Telecoms	0.0831149
"animal husbandry"	0.0829901
informatics	0.0827101
"civil defense"	0.0825655
mining	0.0824974
linguistics	0.0822746
"veterinary medicine"	0.0817984
pharmaceutical	0.0815302
petroleum	0.0814992
optic	0.0811626
"Media Lab"	0.0809851
nursing	0.0805248
"nuclear physics"	0.0802183
dermatology	0.080197
"high technology"	0.0785791
banking	0.0783873
"fine arts"	0.0774842
"information technology"	0.07693
"political science"	0.0766819
"physical education"	0.0758642
manufacturing	0.0758517
"environmental science"	0.0755112
archaeology	0.0754648
"natural science"	0.0754288
refrigeration	0.0750233
semiconductor	0.0749454
ecology	0.0745928
geophysics	0.0741852
neuroscience	0.073778
nutrition	0.0734808
oncology	0.0734283
robotics	0.0733827
aquatics	0.0732318
"atomic energy"	0.0731082
"artificial intelligence"	0.0727697
anthropology	0.0724786
"household appliance"	0.0724178
zoology	0.0721277
"molecular biology"	0.0719863
"public utility"	0.0715516
Immunology	0.0713039
"social science"	0.0709627
aerodynamics	0.0701564
geriatrics	0.0699193
gynecology	0.0698355
hydrology	0.0695993
textile	0.0694059
"public security"	0.0692447
paleontology	0.0688207
CNTA	0.0686561
neurology	0.0681071
dentistry	0.0678107
"public works"	0.0676857
physiology	0.0669501
pathology	0.0667981
endocrinology	0.0663964
"product development"	0.0660003
oceanography	0.0659143
Chemistry	0.0656632
Cardiology	0.0654768
Pediatrics	0.0653185
automation	0.065079
sociology	0.0647443
"administrative law"	0.0643953
imaging	0.0640067
psychiatry	0.0636384
retailing	0.0635814
astrophysics	0.0633032
"communications technology"	0.0628565
"specialty chemical"	0.0628432
counterintelligence	0.0626427
conservation	0.0617162
physics	0.061568
"commercial law"	0.0615196
avionics	0.0614059
archeology	0.0612222
Telecom	0.0611432
"consumer electronics"	0.06062
"home appliance"	0.0600411
"National Economic Council"	0.0599624
ceramic	0.0599366
"postal service"	0.0598235
genomics	0.0598034
"information science"	0.059747
psychology	0.0596796
"Health and Human Services"	0.058872
"road construction"	0.0587364
catering	0.0584197
mathematics	0.0581709
"strategic planning"	0.0581334
"special education"	0.0580834
"fiber optics"	0.0579636
NIH	0.0579325
broadcasting	0.0579052
biotech	0.0578319
multimedia	0.0575307
"Environmental Protection"	0.0572063
"scientific instrument"	0.0570436
"electrical power"	0.0569775
husbandry	0.05667
logistics	0.0566626
refining	0.0565217
shipping	0.0562906
"Civil Aviation"	0.0562712
hydropower	0.0559946
prehistory	0.055508
"social welfare"	0.0551696
"computer hardware"	0.0550941
agribusiness	0.054805
"machine tool"	0.0547432
BIA	0.0547315
"electronics industry"	0.0543071
"information service"	0.0541643
ergonomics	0.0540001
navigation	0.0537849
surveying	0.0531828
"automobile industry"	0.0528523
warehousing	0.0527539
"fire control"	0.052643
publishing	0.052504
"mineral resource"	0.0521968
Toxicology	0.0517188
"family planning"	0.0515947
auto	0.0515658
YankeeNets	0.0515579
"internal medicine"	0.0514165
"genetic engineering"	0.0512334
hydraulics	0.0510526
recreation	0.0509928
"business development"	0.050837
"aircraft engine"	0.0507953
networking	0.050719
"frozen foods"	0.0506041
agronomy	0.0506036
"collective farm"	0.0505847
"nuclear power"	0.0503808
"human factor"	0.0503293
"higher education"	0.0502387
armament	0.0501942
forwarding	0.0501245
"arms control"	0.0499751
"oil industry"	0.0497022
"political economy"	0.0496396
sensing	0.0495634
))
(Aerosmith (desc 4546.39) (sims
U@	0.183562
Metallica	0.169156
Phish	0.148687
"Pink Floyd"	0.148048
"Sugar Ray"	0.140265
"Limp Bizkit"	0.129238
R.E.M	0.12833
"Van Halen"	0.127692
Korn	0.122302
"Rolling Stones"	0.121438
"Pearl Jam"	0.115215
"Sheryl Crow"	0.11333
"Rod Stewart"	0.112375
"Elton John"	0.110016
"Whitney Houston"	0.103444
"Bruce Springsteen"	0.102498
"Spice Girls"	0.102388
"Alanis Morissette"	0.102071
"Beach Boys"	0.101366
"Led Zeppelin"	0.101261
"Neil Young"	0.100132
"Grateful Dead"	0.100099
"Barenaked Ladies"	0.0982999
"Backstreet Boys"	0.0967877
Beatles	0.0965196
"Eric Clapton"	0.0963218
"Black Sabbath"	0.0961299
"Mariah Carey"	0.0944313
"Jimi Hendrix"	0.0929293
"Los Lobos"	0.092467
MANA	0.0921658
"Phil Collins"	0.0919911
"Bob Dylan"	0.0918824
"N Sync"	0.0917734
"Dave Matthews Band"	0.0912576
"Red Hot Chili Peppers"	0.090082
"Andrea Bocelli"	0.0896329
Dre	0.0891437
"Beastie Boys"	0.0885554
"Puff Daddy"	0.0877337
Eminem	0.0864995
"Michael Jackson"	0.0857012
Blondie	0.0855395
"Ricky Martin"	0.0837299
Hanson	0.0827829
"Diana Ross"	0.0798484
Springsteen	0.079306
"Bonnie Raitt"	0.0782219
"Bob Marley"	0.0777861
"Celine Dion"	0.0777598
"Peter Gabriel"	0.0775329
"Dave Matthews"	0.0760718
"Billy Joel"	0.0760077
"David Bowie"	0.0758135
AC/DC	0.0757876
"Marilyn Manson"	0.0747571
"Fleetwood Mac"	0.0740239
REM	0.0735117
"Garth Brooks"	0.0733455
"Ray Charles"	0.0733422
Hootie	0.0731287
Madonna	0.072521
Cher	0.0701739
"Janet Jackson"	0.0698341
"Jimmy Buffett"	0.0698088
"B.B King"	0.0695221
"Willie Nelson"	0.067824
"Lauryn Hill"	0.0675107
"Burt Bacharach"	0.067484
"Alice Cooper"	0.0670307
"Britney Spears"	0.0666676
"Smashing Pumpkins"	0.0655643
"James Taylor"	0.0654473
Santana	0.0650726
"Dixie Chicks"	0.0635249
"Steely Dan"	0.0630944
"Sex Pistols"	0.0624186
"Lilith Fair"	0.0620916
Motown	0.0612072
"Barbra Streisand"	0.0593193
"Paul McCartney"	0.0589548
nirvana	0.058646
"Kid Rock"	0.0584265
"Public Enemy"	0.0578445
eight-minute	0.0575206
"Paul Simon"	0.0572311
"George Michael"	0.0571348
"Shania Twain"	0.0555859
"Frank Sinatra"	0.0542059
Monkees	0.0541083
"Aretha Franklin"	0.053727
Stillwater	0.0536798
uptempo	0.0534272
Byrds	0.0529074
"Elvis Costello"	0.0527908
TLC	0.052528
Marley	0.0525089
"Michael Bolton"	0.0515345
morphine	0.0514086
"LeAnn Rimes"	0.0509984
"Liza Minnelli"	0.0507534
"Peking Opera"	0.0501353
"Elvis Presley"	0.0494613
Streisand	0.0491358
"Bette Midler"	0.0490371
"Janis Joplin"	0.0483905
"John Mellencamp"	0.0481017
Beck	0.0475995
Supremes	0.0473984
Sinatra	0.0471599
"Joni Mitchell"	0.046846
"Tina Turner"	0.0466543
"rock band"	0.0465808
"Maya Angelou"	0.0465653
"Tom Petty"	0.0463923
"Patti Smith"	0.0463408
"R&AMP;B"	0.0460891
"Jimmy Page"	0.0457314
Elvis	0.0452807
"Stevie Wonder"	0.045258
"Tony Bennett"	0.0452138
"Ving Rhames"	0.0452055
"Tom Jones"	0.0448332
Buffett	0.0447396
"Woody Guthrie"	0.0447196
Ellington	0.0446622
"Fighting Irish"	0.0445802
Mahler	0.0443909
Yoakam	0.0443703
Gershwin	0.0442106
"Charlie Parker"	0.0441871
Eurythmics	0.0441798
Ronstadt	0.0433765
"Tori Amos"	0.0431651
"GLORIA ESTEFAN"	0.0422291
Midler	0.0421351
"Iggy Pop"	0.0420726
"Van Morrison"	0.0420469
"Parent Trap"	0.0420443
Gaines	0.0420054
oasis	0.0415633
"Cindy Crawford"	0.0415627
"Melissa Etheridge"	0.0414044
Fugees	0.0412328
"country music"	0.0408404
"Christina Aguilera"	0.0403611
"Hank Williams"	0.04036
Stinson	0.0402824
bluegrass	0.0402303
))
(aerosol (desc 4014.7) (sims
droplet	0.0945429
hydrocarbon	0.085235
defoliant	0.0848578
latex	0.0810183
"nitrogen dioxide"	0.0809419
deodorant	0.0807748
"carbon monoxide"	0.0765489
insecticide	0.0755828
chlorine	0.0748369
talc	0.0733763
soot	0.0707063
CO@	0.0684085
particle	0.0683827
nitrogen	0.066888
Sarin	0.0642969
"nitrogen oxide"	0.0633809
solvent	0.0632884
methanol	0.0626533
"carbon dioxide"	0.06242
Benecol	0.0618444
vapor	0.0604576
pesticide	0.0603071
"laundry detergent"	0.0602627
iodine	0.0600212
"hair spray"	0.0594815
carbon	0.0585108
"sulfur dioxide"	0.0584732
pollutant	0.057454
neutrino	0.0562861
REPELLENT	0.0562837
"cat food"	0.0556122
"water vapor"	0.05533
particulates	0.0552879
PCBs	0.055211
"nitrous oxide"	0.0551916
"tuna fish"	0.054722
wastewater	0.0545513
malathion	0.0539988
"shaving cream"	0.0539507
"rain shower"	0.0538106
sludge	0.0537916
antioxidant	0.0535347
"solar energy"	0.05349
ozone	0.052808
"chemical agent"	0.0526842
sealant	0.0525616
"rocket fuel"	0.0522745
"ultraviolet light"	0.0519317
DDT	0.0518544
oxygen	0.0518424
propane	0.0517377
refrigerant	0.0517341
hydrogen	0.0510902
electrolyte	0.0509302
asbestos	0.0506397
"tax income"	0.050308
MTBE	0.0501463
sunscreen	0.0491794
propellant	0.0491589
inhaler	0.0491538
"diesel oil"	0.0488429
CFCs	0.048738
"toxic waste"	0.0486343
detergent	0.0485912
aromatherapy	0.0485457
methane	0.047734
"waste material"	0.0476297
dioxin	0.0473341
fluoride	0.0473027
polyethylene	0.0471598
gasses	0.0469576
herbicide	0.046914
silicone	0.0468154
contaminant	0.0463319
helium	0.0463294
sulfur	0.0462898
munition	0.0462384
lava	0.0461378
Radon	0.0459348
"vegetable oil"	0.0458852
pollen	0.0457883
magma	0.0456635
insulin	0.0456072
"tear gas"	0.0455208
"electrical device"	0.0454903
polymer	0.045374
dioxins	0.0453158
kerosene	0.0450993
Gel	0.0450865
gunpowder	0.0450694
lubricant	0.0450521
"hot pepper"	0.04504
radiation	0.0450392
adhesive	0.0450081
spore	0.0448953
"wireless telephone"	0.0448657
doggy	0.0447222
allergen	0.0446628
ricotta	0.0445266
estrogen	0.0443888
aluminum	0.0442721
carotene	0.0442482
nitrate	0.0440341
"pet food"	0.0438205
smog	0.0438051
"hard drug"	0.043551
"hydrogen sulfide"	0.0433053
"dog food"	0.0432443
mouthwash	0.0432276
"fire hose"	0.0431374
"Diet Coke"	0.0430084
"sea breeze"	0.0429388
weight-loss	0.042864
"electric current"	0.0427982
foam	0.0427433
tranquilizer	0.0426293
andro	0.0425658
IC	0.0425526
"Weight Watchers"	0.0421917
petrol	0.0421531
"nitric oxide"	0.0420882
monies	0.0418773
combustion	0.0414305
"vitamin A"	0.0413622
meteorite	0.041125
flavoring	0.0411174
lycopene	0.0411136
interferon	0.041087
creatine	0.0410565
olestra	0.0410538
dioxide	0.0410297
antihistamine	0.0407353
phosphorus	0.0407182
anchovy	0.0406835
SDH	0.0406587
melatonin	0.0406023
LSD	0.040517
precipitation	0.0404744
"Official Development Assistance"	0.0404654
remover	0.0404337
spam	0.0404007
projectile	0.0401281
soy	0.0401195
))
(aerospace (desc 12426.4) (sims
shipbuilding	0.192536
petrochemical	0.181934
electronics	0.178318
Microelectronics	0.177136
telecommunication	0.177068
metallurgy	0.175601
aeronautics	0.172133
semiconductor	0.169904
aviation	0.169589
machine-building	0.161715
bioengineering	0.152163
"chemical industry"	0.150585
engineering	0.146392
Telecoms	0.146315
pharmaceutical	0.146087
"high technology"	0.145589
"building material"	0.144057
biotechnology	0.142547
manufacturing	0.142065
mining	0.135619
"consumer electronics"	0.13527
banking	0.131977
"information technology"	0.130724
"life science"	0.129478
petroleum	0.123811
"home appliance"	0.122386
auto	0.121071
"specialty chemical"	0.119706
textile	0.118803
automobile	0.116019
forestry	0.113747
Telecom	0.112508
"household appliance"	0.111538
"aircraft engine"	0.111413
agriculture	0.109909
machinery	0.108828
"communications equipment"	0.108138
automation	0.107826
refining	0.107082
processing	0.106509
retailing	0.105759
Dasa	0.104341
biotech	0.103875
"computer hardware"	0.102952
"fiber optics"	0.10212
"nuclear energy"	0.101495
multimedia	0.10076
"real estate"	0.100624
tourism	0.10052
"animal husbandry"	0.100366
retail	0.0995918
high-tech	0.0994826
networking	0.0986614
"consumer product"	0.0965895
"electronics industry"	0.0957164
"oil industry"	0.0957152
transportation	0.0951319
agribusiness	0.0946022
aquaculture	0.0942354
"electronic equipment"	0.0936964
"machine tool"	0.0932382
"data processing"	0.0922477
fishery	0.0918894
"electric power"	0.0916956
communication	0.0905025
"defense contractor"	0.0902908
chemical	0.0902101
"investment banking"	0.0901773
optic	0.0892154
apparel	0.088143
footwear	0.0881251
healthcare	0.0880864
publishing	0.0879625
appliance	0.0877888
commerce	0.0874823
"construction industry"	0.0873478
horticulture	0.0873232
transport	0.0862062
"automobile industry"	0.0850651
"medical science"	0.0850595
"information science"	0.084586
energy	0.0837574
avionics	0.0834097
packaging	0.082893
garment	0.0827562
"consumer goods"	0.0825895
"banking industry"	0.0817752
"power system"	0.0811148
steel	0.0808951
"civil engineering"	0.0808703
conservancy	0.0808668
"British Aerospace"	0.0807704
shipping	0.0806899
meteorology	0.0805962
"public utility"	0.0803597
"computer industry"	0.0798909
"computer graphics"	0.0796798
"Aerospatiale Matra"	0.0795712
"integrated circuit"	0.0795517
"life insurance"	0.0793023
"rolling stock"	0.0792129
computing	0.0785019
"data communication"	0.0779561
Trucking	0.0774469
refrigeration	0.0773985
informatics	0.0771239
warehousing	0.0762284
"environmental science"	0.0761859
"nuclear power"	0.076049
construction	0.0756808
broadcasting	0.0756037
cosmetic	0.0740625
logistics	0.0738577
e-business	0.0736692
insurance	0.0729361
biology	0.0729059
ceramic	0.0727718
brokerage	0.0725397
"product development"	0.0724416
geology	0.0724291
beverage	0.0722653
equipment	0.0721172
consultancy	0.0718976
"building product"	0.0717871
"food product"	0.0716813
medical	0.0715433
hardware	0.071525
handicraft	0.0713855
Aerospatiale	0.0713522
e-commerce	0.0712588
"diesel engine"	0.0710679
software	0.0710526
"health care"	0.0704699
"cable television"	0.0703668
"road construction"	0.0702874
"optical fiber"	0.069429
"disk drive"	0.0693945
foodstuff	0.0691963
"steel production"	0.0691643
"raw material"	0.0691232
forwarding	0.0690632
"information service"	0.0690101
genomics	0.0689899
hydrology	0.0688354
"information system"	0.0686783
medicine	0.0686317
"computer equipment"	0.0682524
copier	0.0681078
infrastructure	0.0679115
"computer science"	0.0676934
railroad	0.0675099
confectionery	0.0670528
armament	0.0669734
nuclear-weapons	0.0666961
"cellular telephone"	0.0666623
utility	0.066644
"genetic engineering"	0.066504
exploration	0.0663915
"gas turbine"	0.066045
state-owned	0.065986
imaging	0.0658954
export-oriented	0.0658637
farming	0.06576
"computer technology"	0.0655719
"electrical engineering"	0.0655226
Housing	0.0650236
foundry	0.06497
pulp	0.0649026
diagnostics	0.0648864
reinsurance	0.0645861
Entertainment	0.0644543
catering	0.0642706
"solar energy"	0.0639406
wholesale	0.0638045
"investment trust"	0.0637141
Siemens	0.0634261
timber	0.0632702
electric	0.0631321
"electronics company"	0.0629315
"aerospace giant"	0.062918
"chain store"	0.0628946
"medical instrument"	0.0628488
telephony	0.0627275
"artificial intelligence"	0.0626562
"insurance market"	0.0625907
business-to-business	0.0625766
"memory chip"	0.0624747
"venture capital"	0.0624513
leasing	0.0623427
dairy	0.0623174
mineral	0.0622382
robotics	0.0621308
medium-sized	0.0621273
science	0.0620122
Denel	0.0617781
conservation	0.0616496
weaponry	0.0616406
hydropower	0.0614887
microchip	0.061414
tobacco	0.061342
))
("aerospace engineer" (desc 1236.05) (sims
"Navy Seal"	0.117779
geophysicist	0.116662
"electrical engineer"	0.106276
"exotic dancer"	0.103667
"civil engineer"	0.102185
toxicologist	0.0975013
"mechanical engineer"	0.0960263
biochemist	0.0935997
"police captain"	0.0921764
pathologist	0.0882466
"interior decorator"	0.0882307
adjuster	0.087823
"heart surgeon"	0.0868087
"school superintendent"	0.0867137
"house painter"	0.0865353
Profiler	0.0854387
"naval officer"	0.084963
"science teacher"	0.0847204
"management consultant"	0.0844507
"government officials"	0.0843658
linguist	0.0842007
"lieutenant colonel"	0.0841942
chemist	0.0841763
"police lieutenant"	0.0840371
"graphic artist"	0.0838072
steelworker	0.0825606
landscaper	0.0825508
infantryman	0.081386
"staff sergeant"	0.0813825
electrician	0.0804976
machinist	0.079826
paralegal	0.0797126
copywriter	0.0791213
"army engineer"	0.0785506
seamstress	0.0780049
"English teacher"	0.0779437
"math teacher"	0.0778592
repairman	0.0777676
"school teacher"	0.0777116
"altar boy"	0.0771551
"department employee"	0.0769019
Programmer	0.0768738
"landscape architect"	0.0768437
"air force officer"	0.0767713
ex-Marine	0.0762191
"school principal"	0.0759355
patrolman	0.0757894
"account executive"	0.0748283
physiologist	0.0743932
"eye doctor"	0.0735723
"Lawton Chiles"	0.0731138
fireman	0.0729548
optometrist	0.0728944
"insurance agent"	0.0727967
"police detective"	0.0722971
"sea captain"	0.0721349
eighth-grader	0.0712831
"security consultant"	0.0711162
astrophysicist	0.0709032
stagehand	0.0707953
"shop assistant"	0.0706344
agronomist	0.070582
exterminator	0.0705464
"enlisted man"	0.0704824
"computer programmer"	0.0704005
kayaker	0.0702433
saleswoman	0.0697517
neurosurgeon	0.0693572
Bostonian	0.0690188
"clinical psychologist"	0.0686609
"factory worker"	0.0686534
horticulturist	0.0684138
"police sergeant"	0.0683705
clinician	0.0680177
"English professor"	0.0679971
firefighter	0.0678988
anesthesiologist	0.0676882
"foreign service officer"	0.0674094
"real estate broker"	0.0672187
"art director"	0.0671985
bricklayer	0.0669037
"administrative official"	0.0667617
Atlantan	0.0666992
"intelligence officer"	0.0664729
"intelligence analyst"	0.0664614
"interior designer"	0.0664052
zoologist	0.0663859
internist	0.0663513
abbot	0.0663402
orthodontist	0.0661592
schoolteacher	0.0657376
radiologist	0.0653426
"Bill Walton"	0.0651757
"Rajiv Gandhi"	0.0651702
obstetrician	0.0651477
oilman	0.064917
triathlete	0.0647582
librarian	0.0646074
"music teacher"	0.0644137
"TV reporter"	0.0642747
"registered nurse"	0.0642011
"investment adviser"	0.0641497
"opera star"	0.0641327
stuntman	0.0638974
demographer	0.0638908
"grad student"	0.0638157
Allergist	0.0634765
geologist	0.0633727
"software engineer"	0.0631783
"Robert Ray"	0.0631534
welder	0.0630501
"Dale Bumpers"	0.062846
"farm boy"	0.0628315
geographer	0.0628141
Gastroenterologist	0.0620859
Yitzhak	0.0620802
"art dealer"	0.062026
animators	0.0618054
"management personnel"	0.0617009
newspaperman	0.0615236
submariner	0.0613938
farmhand	0.0613814
"project manager"	0.0607995
bookkeeper	0.0606478
"dairy farmer"	0.0604697
epidemiologist	0.0604175
psychoanalyst	0.0603474
"talent agent"	0.0599809
gynecologist	0.0597751
"computer expert"	0.0596823
"insurance broker"	0.0596408
"eagle scout"	0.0592677
"art student"	0.0590989
restaurateur	0.0587128
microbiologist	0.0586432
wunderkind	0.0583447
neurologist	0.0581661
beekeeper	0.0581523
acupuncturist	0.0581441
"lieutenant general"	0.058046
businesswoman	0.0579965
Postmaster	0.0579325
"fire chief"	0.0578907
clergyman	0.0574387
"bird watcher"	0.0574078
forester	0.0567692
"social scientist"	0.0567683
paleontologist	0.0567612
halfback	0.0566668
astronomer	0.0566658
homemaker	0.056627
skydiver	0.0566025
"currency trader"	0.0565736
endocrinologist	0.0565381
hairstylist	0.0565303
geneticist	0.0562791
pharmacist	0.0562395
"medical specialist"	0.0561793
"Archbishop Desmond Tutu"	0.0561153
"King Hassan II"	0.0560304
immunologist	0.0559831
assemblyman	0.0559022
"general practitioner"	0.0558008
Gurkha	0.0557588
"film producer"	0.055642
Futurist	0.0555606
"real estate agent"	0.0555284
oncologist	0.0554963
major-leaguers	0.0554071
"Lino Oviedo"	0.0553712
weatherman	0.0553062
"brigadier general"	0.0552988
beautician	0.0552259
policewoman	0.0550098
"traveling salesman"	0.0549526
"little leaguer"	0.0549071
"preventive medicine"	0.0548771
headmistress	0.0548041
mathematician	0.0546653
oceanographer	0.0545274
"John Shalikashvili"	0.0545238
"David Hale"	0.0542967
stockbroker	0.0542464
assessor	0.0541245
"James McDougal"	0.0541044
plumber	0.0539245
installer	0.0538745
hairdresser	0.053818
vaulter	0.0538153
"car dealer"	0.0537305
Arizonan	0.0536424
cantor	0.0533964
bellhop	0.0533483
"baseball coach"	0.053298
"Mark Tuinei"	0.0532788
councilwoman	0.0530673
"sports editor"	0.0530631
technologist	0.0528171
bioethicist	0.0525321
"plastic surgeon"	0.0525204
))
("aerospace giant" (desc 1389.26) (sims
"Boeing company"	0.147707
"defense contractor"	0.11337
PictureTel	0.109554
carmakers	0.0890884
RealNetworks	0.0868766
AHP	0.075664
"semiconductor maker"	0.0746409
"Boeing Co."	0.0740518
"Operation Lifeline Sudan"	0.0725235
toymaker	0.0717204
"booking agent"	0.0695625
oilmen	0.0683587
Difrancesco	0.067425
"British government"	0.0668625
thrift	0.0664555
"AOL Time Warner"	0.0649218
"department store chain"	0.0646461
cager	0.0633824
aerospace	0.062918
archrivals	0.062647
"Health and Human Services Department"	0.0625487
Informix	0.0620549
Mikhailov	0.0619015
SGI	0.0615046
"Financial Supervisory Agency"	0.0614125
Overnite	0.060882
"English Football Association"	0.0607162
Coolio	0.0605718
"Long-Term Credit Bank"	0.0595584
"computer giant"	0.0588892
"point system"	0.058334
Lucasfilm	0.0581559
"army engineer"	0.057605
Blackthorne	0.0573876
"Big West"	0.0572868
"Credit Lyonnais"	0.0572332
"steel company"	0.0569639
ZCCM	0.0568775
Biskind	0.056823
"entitlement program"	0.0566862
"Randall Simon"	0.0564429
mountaineer	0.0554957
"Consolidated Edison"	0.0554781
businesswomen	0.0553506
carmaker	0.0545141
Northpoint	0.0545124
deportee	0.0544833
"Bank of Japan Ltd."	0.054482
IAI	0.0544531
transnationals	0.0542842
USTA	0.0542075
Railtrack	0.0541714
"Pearl Jam"	0.0536027
"African Union"	0.0525964
"Gordon Brown"	0.0524913
"American Home"	0.0524016
Barrionuevo	0.0522488
Aventis	0.0521492
"International Business Machines Corp."	0.0518945
steelmaker	0.0518858
"Levi Strauss &AMP; Co."	0.0517388
moviemakers	0.0514055
"Ford Motor Company"	0.0512724
PEOPLESOFT	0.0512166
"Daewoo Group"	0.0511621
"auto company"	0.0510163
NCEC	0.0508876
Gilead	0.0508274
"Bank of Israel"	0.0506978
AUM	0.0506664
NIC	0.0505242
"investment trust"	0.0505013
ATC	0.0504762
"Nissan Motor Co."	0.0504735
eco	0.0503882
autoworkers	0.0503471
MetLife	0.0502752
Imperatori	0.0502244
"Thomson CSF"	0.0499855
shipbuilder	0.0493585
"U.S. Administration"	0.0493556
USEC	0.0493159
"naval forces"	0.0492936
Airlines	0.0492728
"Army Corps"	0.0492555
Pemex	0.0491753
Occidental	0.0491716
FSA	0.0490642
GANNETT	0.0490327
Supersonics	0.0489616
AutoNation	0.0489119
Cathay	0.0488675
ExciteAtHome	0.0488405
Venables	0.048737
GPU	0.0486932
"water company"	0.0485332
"Canadian Alliance"	0.0484976
"Lesotho Congress"	0.0484169
SEZs	0.0482288
"Fighting Irish"	0.0481788
"movie industry"	0.0480968
infantrymen	0.0480833
Handspring	0.0480579
"car maker"	0.0480143
SNCF	0.0478657
"Ricky Watters"	0.0478487
Arianespace	0.0476196
phenoms	0.0474307
"Advanced Micro"	0.0474247
"Israeli Foreign Ministry"	0.0474008
"Southern Co."	0.0473618
JetBlue	0.0472688
Echostar	0.0470392
"Home Secretary"	0.0468797
"Royal Air Force"	0.0467478
"holding company"	0.0466113
Espinosa	0.0466044
"credit union"	0.0465808
VW	0.0465598
"merchant marine"	0.0464724
Picard	0.0464503
"MCI Worldcom Inc."	0.0463399
"sugar refinery"	0.0463288
"electric company"	0.0462497
All-Tech	0.0462481
"Ocean Spray"	0.0461764
"Ministry of Forestry"	0.0461231
"Times Co."	0.0460667
"State Administration of Cultural Heritage"	0.0460556
Edberg	0.0460106
pimpernel	0.0459589
Kusama	0.0458495
"child welfare agency"	0.0458483
"Kenyan Government"	0.0457281
beachhead	0.0456966
Haouari	0.0456966
"Real Networks"	0.0456952
"Silicon Graphics"	0.0456027
"General Motors Corp."	0.0454294
pinch-hitters	0.0454218
"U.S. Postal Service"	0.0454109
"Sdn Bhd"	0.0453758
"Hongkong Telecom"	0.0453606
"apparel industry"	0.0452417
UNRWA	0.0452109
"Culture Ministry"	0.045207
Zarkin	0.0452066
"Nortel Networks Corp."	0.0450884
"Nissan Motor"	0.0450754
"equity market"	0.0450271
Gillette	0.0450122
"drug maker"	0.0450037
AGL	0.0449532
UNOCAL	0.0449063
Cerent	0.0449039
KEDO	0.0448395
Intelsat	0.0448144
Charest	0.0447532
AlliedSignal	0.0446653
PPI	0.0445771
Michelin	0.0445081
"U.N. court"	0.0445079
Masire	0.044379
"Nature Conservancy"	0.0442948
"compromise plan"	0.044279
Paulina	0.0442216
Borrego	0.0441678
Wada	0.0441304
Enron	0.0440525
"Jon Kitna"	0.0440239
Ciena	0.0439789
sportswriters	0.0439746
protectorate	0.043935
Drugstore.com	0.0439276
Tomba	0.0438981
"National Thoroughbred Racing Association"	0.0438687
"Craig McCaw"	0.043867
"Royal Bank"	0.043841
RJR	0.0437997
Aetna	0.0437268
Honeywell	0.0436711
Seagate	0.0436435
Kimbell	0.0436318
ITF	0.0436262
TYCO	0.0435577
Kazhegeldin	0.0435494
cortege	0.0434921
noone	0.0432784
G@@	0.0430302
"Levi Strauss"	0.0429653
"BellSouth Corp."	0.0429518
NRC	0.0429337
"Malaysia Airlines"	0.0428493
Lockheed	0.0428325
Sinopec	0.0428101
"coal industry"	0.0427721
Deutsche	0.0427403
Biogen	0.0427261
CNPC	0.0427209
"South African Airways"	0.0427175
))
(Aerospatiale (desc 4769.38) (sims
"Aerospatiale Matra"	0.372804
Dasa	0.246857
Lagardere	0.218607
"British Aerospace"	0.204469
"Thomson CSF"	0.16407
casa	0.155071
"ELF AQUITAINE"	0.138583
Alcatel	0.128038
AXA	0.127142
"Renault SA"	0.126874
Rhone-Poulenc	0.120284
"Canal Plus"	0.118965
Agusta	0.109256
"Christine Arron"	0.108644
Vivendi	0.106506
Elf-Aquitaine	0.106491
Intelsat	0.105393
Renault	0.104888
Loral	0.103584
Bertelsmann	0.101468
"Lockheed Martin Corp."	0.100405
"Lockheed Martin"	0.0983816
"Societe Generale"	0.0981877
Paribas	0.0981018
"Airbus Industrie"	0.0957731
"Credit Lyonnais"	0.0948068
VEBA	0.0947935
"France Telecom"	0.0941943
Eni	0.0922747
Hoechst	0.0916916
ABB	0.091509
Daimler-Benz	0.0911004
"Softbank Corp."	0.0901823
Arianespace	0.089262
Lockheed	0.0881431
Dassault	0.0880211
YPF	0.0878732
"Marie-Jose Perec"	0.0875256
"Liberty Media"	0.0874708
"Telecom Italia"	0.0853982
"Northern Telecom"	0.0850103
Elf	0.0848147
"Didier Auriol"	0.0843081
"Deutsche Telekom"	0.0840405
Gazprom	0.0839821
REPSOL	0.0823466
CMGI	0.0815351
"Air France"	0.0807583
"Royal Dutch/Shell"	0.0807348
"McDonnell Douglas"	0.0807264
"Knight Ridder"	0.0805323
Totalfina	0.0803123
Carrefour	0.0791394
"Berkshire Hathaway"	0.078839
Telefonica	0.0780637
DaimlerChrysler	0.0779679
PLDT	0.077898
Schlumberger	0.077809
Motorola	0.0762173
Telkom	0.0753657
AMR	0.0747197
Raytheon	0.0746831
"Allied Signal"	0.0741557
"News Corp."	0.0741227
NTL	0.0739719
Siemens	0.0736155
Daimler	0.0736086
"Zambia Consolidated Copper Mines"	0.0724557
Novartis	0.0723763
Pertamina	0.0723365
BSKyB	0.0721886
UBS	0.0721043
Telstra	0.0718745
Astra	0.0715929
Genentech	0.0715086
aerospace	0.0713522
Monsanto	0.0712906
"Glaxo Wellcome"	0.0711629
PETROBRAS	0.071129
Denel	0.0708231
McKesson	0.0708016
Ericsson	0.0704841
"Raytheon Co."	0.0703086
Fiat	0.0701053
"Merck &AMP; Co."	0.0695979
"Oracle Corp."	0.0694134
Nortel	0.0692151
CNET	0.0690963
UAL	0.0685254
Bayer	0.0684225
Texaco	0.068306
Bae	0.0681868
Zeneca	0.0681832
Unilever	0.0681641
Viacom	0.0681094
Thyssen	0.0678509
Volkswagen	0.0673187
Sumitomo	0.0672443
Telecom	0.0672442
Echostar	0.0670471
Mannesmann	0.0670004
"Tele-Communications Inc."	0.0667093
Thomson	0.0666459
"GE Capital"	0.066385
"CMGI Inc."	0.0663824
Enron	0.0662882
Pt	0.0662808
Sibneft	0.0662715
Exxon	0.0662155
SNCF	0.0661906
"Pacific Century Cyberworks"	0.0660156
"General Electric Co."	0.0659607
Philips	0.065947
"Global Crossing Ltd."	0.0658241
Vodafone	0.0658137
"Media Partners"	0.0656324
LVMH	0.0655732
"Jerome Golmard"	0.0651373
AstraZeneca	0.0649553
Infoseek	0.0648998
Nokia	0.064682
"Tribune Co."	0.0644838
TCI	0.0642824
Railtrack	0.0641888
SAirGroup	0.0641299
Pemex	0.0641028
Qwest	0.0640361
Petronas	0.063694
"Northrop Grumman"	0.0635722
Omnicom	0.0635698
Honeywell	0.0635514
"Travelers Group"	0.0633594
"Vivendi SA"	0.0632717
"industrial enterprise"	0.0630693
UTC	0.0626881
VICKERS	0.0625662
"Qualcomm Inc."	0.0624688
Chevron	0.0623856
BASF	0.062217
"Hughes Electronics"	0.062203
HSBC	0.0621801
Pfizer	0.0620853
Petrofina	0.0620076
Sidanko	0.0619099
"AMR Corp."	0.0618925
"HSBC Holdings"	0.0618203
"Pratt &AMP; Whitney"	0.061631
Cablevision	0.0615923
"Time Warner"	0.0615613
"Hutchison Whampoa"	0.0613549
"Saatchi &AMP; Saatchi"	0.0611154
"Jean Van de Velde"	0.0610283
Bestfoods	0.0609793
"Guillaume Raoux"	0.0609482
VoiceStream	0.0608926
"telephone company"	0.060834
Nestle	0.0607971
ZCCM	0.0607798
"General Electric"	0.0607788
"Vodafone AirTouch"	0.0607213
"USA Networks"	0.0605085
"Boeing Co."	0.0604845
NiSource	0.0604559
"holding company"	0.06044
"Fabrice Santoro"	0.0604397
"Enron Corp."	0.0603059
Peugeot	0.0599881
Delphi	0.0599827
Aventis	0.0599678
Dupont	0.0599252
"NTT DoCoMo"	0.0598695
Scania	0.0598331
Corning	0.0595676
"National Library"	0.0593331
"SBC Communications Inc."	0.0592759
"Total Fina"	0.0592047
RealNetworks	0.0591687
"Gannett Co."	0.0591395
Daimler-Chrysler	0.0589857
"Johnson &AMP; Johnson"	0.0587377
"NEC Corp."	0.0585902
"Sebastien Grosjean"	0.058435
"Ford Motor Co."	0.0584009
Nextel	0.0583356
"Halliburton Co."	0.058268
WorldCom	0.058265
"Hearst Corp."	0.0581305
GANNETT	0.0581106
ENTREMED	0.0580477
"American International Group"	0.0579599
"Judicial Watch"	0.0578669
"Times Co."	0.0578455
"Laurent Jalabert"	0.0576606
"Viacom Inc."	0.0576348
consortium	0.0576296
Olivetti	0.0575582
"British Telecom"	0.0571665
continental	0.0571179
"Times Mirror"	0.0570762
NASD	0.0570636
))
("Aerospatiale Matra" (desc 1501.99) (sims
Aerospatiale	0.372804
Dasa	0.337858
Lagardere	0.274518
"Renault SA"	0.167463
"Christine Arron"	0.159928
casa	0.139421
"British Aerospace"	0.138129
"Marie-Jose Perec"	0.133693
"Didier Auriol"	0.128103
Rhone-Poulenc	0.12063
"ELF AQUITAINE"	0.118964
"Jerome Golmard"	0.0986509
"Jean Van de Velde"	0.0954479
Elf-Aquitaine	0.0942863
"Thomson CSF"	0.0926917
"Guillaume Raoux"	0.09219
Alcatel	0.0911345
"Sebastien Grosjean"	0.0887368
Carrefour	0.0844372
Dassault	0.0838314
"Fabrice Santoro"	0.0825858
Bae	0.0817164
aerospace	0.0795712
"Amelie Mauresmo"	0.0788456
AXA	0.0760496
"Marina Anissina"	0.0759127
"Siemens AG"	0.0752819
"Arnaud Di Pasquale"	0.0744224
"Julie Halard-Decugis"	0.0736016
"Laurent Jalabert"	0.0722391
Saab	0.0720257
"Hubert Vedrine"	0.0712304
"Richard Virenque"	0.0712287
"Ford Motor"	0.0660009
"Sandrine Testud"	0.0652669
"National Convention Executive Council"	0.0651496
Eaux	0.0648448
"Mitsubishi Motors"	0.0632773
"Jean-Philippe Gatien"	0.0629708
Daimler	0.0627246
Renault	0.0619826
"Nathalie Dechy"	0.0612524
Arianespace	0.0611475
"Alexandra Fusai"	0.0607144
"Guy Forget"	0.0606018
"Transport Ministry"	0.0602457
"rolling stock"	0.060095
"Anne-Gaelle Sidot"	0.0596118
"National Library"	0.0590945
"Canal Plus"	0.0584313
"Nathalie Tauziat"	0.0582405
Siemens	0.0577617
"Arnaud Clement"	0.0576265
NTL	0.0569155
"Allied Signal"	0.056905
"Arnaud Boetsch"	0.0559766
Fujitsu	0.0558463
ABB	0.0557332
"Ford Motor Company"	0.0557151
Michelin	0.0554441
"Sarah Pitkowski"	0.0547364
Vivendi	0.0543675
"Lockheed Martin"	0.0542975
"Societe Generale"	0.0537089
Hoechst	0.0529561
Totalfina	0.0508649
"CBS Corp."	0.049687
Peugeot	0.0496246
CAC-@@	0.0490867
Ericsson	0.0489446
"Deutsche Bank AG"	0.0478546
"Northrop Grumman"	0.0474418
cavalry	0.0471014
"Nicolas Escude"	0.0470611
Bayer	0.0465415
"Staples Inc."	0.0464418
"Olympique Marseille"	0.0464139
Daimler-Benz	0.0463542
AG	0.0461753
"Volvo AB"	0.0453552
"Total Fina"	0.0452039
"Bernard Kouchner"	0.0448701
"Media Partners"	0.044223
"Lockheed Martin Corp."	0.0440523
"National Electoral Commission of Nigeria"	0.0429888
Otpor	0.0429023
"Families USA"	0.0428767
"Vivendi SA"	0.0428447
"National Semiconductor"	0.0424153
"Operation Rescue"	0.0421941
"BellSouth Corp."	0.0419761
"Culture Ministry"	0.0414463
"Hewlett-Packard Co."	0.0413987
Bertelsmann	0.0413171
"Motorola Inc."	0.0411535
AlliedSignal	0.0407745
"Youri Djorkaeff"	0.0407383
SAirGroup	0.0405782
Agip	0.0402679
Lockyer	0.0401917
"Civil Aviation"	0.040162
))
(aesthetic (desc 12325.9) (sims
esthetic	0.101958
philosophy	0.0890828
sensibility	0.0865459
style	0.0840594
morality	0.0765719
culture	0.0761992
ideology	0.0757681
economics	0.0728495
art	0.072413
spirituality	0.0709667
ethic	0.070649
architecture	0.0705699
tradition	0.0694116
vision	0.0667453
beauty	0.0642528
religion	0.0634656
geography	0.0617378
personality	0.061335
moral	0.0611224
ideal	0.059533
lifestyle	0.0590667
idiom	0.058586
intellect	0.0585755
theology	0.0585511
complexity	0.0578354
flair	0.0575957
rhythm	0.0572584
literature	0.0568071
genre	0.0567083
practicality	0.0566397
artistry	0.0565659
theatricality	0.0564847
professionalism	0.0564018
technique	0.0562973
temperament	0.0561328
mind-set	0.0558975
decency	0.0554573
realism	0.0544551
fundamental	0.0544172
dynamic	0.0543426
poetry	0.0542844
ethos	0.0535388
talent	0.0529801
psychology	0.0529535
mentality	0.0529362
principle	0.0529024
integrity	0.0527133
purity	0.0525341
concept	0.0525336
emotion	0.0524851
"common sense"	0.0523991
simplicity	0.0523801
charm	0.0520743
aspect	0.0520435
patriotism	0.0518767
heritage	0.0514934
instinct	0.0513852
geopolitics	0.0512171
context	0.0506891
lifestyles	0.0506712
passion	0.0505287
originality	0.050388
musicianship	0.0503025
self-confidence	0.0502255
"way of life"	0.0499989
"religious belief"	0.0497941
virtue	0.0497352
sociology	0.0497157
MYSTIQUE	0.0489204
repertory	0.048908
vitality	0.0488253
interpretation	0.0487297
trait	0.0486971
Romance	0.0485496
"social structure"	0.048493
Chemistry	0.0484669
morals	0.0483507
wisdom	0.048276
"art form"	0.0482579
honesty	0.0481347
theory	0.0480587
identity	0.0479002
"foreign policy"	0.0475529
notion	0.0474773
reality	0.0474244
esthetics	0.0473995
imagery	0.0473979
landscape	0.0473946
ambience	0.0473907
perception	0.0472622
verisimilitude	0.047247
Vibe	0.0472338
fantasy	0.04717
narrative	0.0471026
diversity	0.0470238
decor	0.0469975
nuance	0.0468
profession	0.0467778
brilliance	0.0464888
perspective	0.046452
ambition	0.0463812
demographics	0.046377
mythology	0.0463672
cuisine	0.0462913
meaning	0.0462626
composition	0.0462253
"life style"	0.0461483
sensitivity	0.0460286
mindset	0.0459923
subculture	0.0457772
conception	0.0456777
"public opinion"	0.0456447
doctrine	0.0455654
nostalgia	0.0455105
characteristic	0.0454731
intimacy	0.0453642
vernacular	0.0453255
abstraction	0.0452994
logic	0.0451993
minimalism	0.0451277
evolution	0.0450379
humanity	0.0449561
Journalism	0.044934
photography	0.0449219
archaeology	0.0449105
orthodoxy	0.0448771
"teaching method"	0.0448366
Privacy	0.0448329
truth	0.0447666
melody	0.0447472
humor	0.0447404
"social science"	0.0445545
ego	0.0444581
conscience	0.0442121
dimension	0.0441323
continuity	0.0440649
"pop music"	0.0437708
dignity	0.0436202
nicety	0.0436188
expertise	0.0436183
stamina	0.0436009
innovation	0.0435966
pleasure	0.0435782
symbolism	0.0435507
"medical practice"	0.043461
hip-hop	0.0434247
Creativity	0.0432215
myth	0.0432034
aura	0.0431335
imagination	0.0431183
worldview	0.043096
fatalism	0.0430833
elegance	0.0430341
tact	0.0428613
essence	0.0426994
glamour	0.0426456
"good looks"	0.0424869
greed	0.0424284
Truism	0.0423178
authenticity	0.0423162
facet	0.0422111
civilization	0.0420662
"management style"	0.0420527
allure	0.0419579
prestige	0.0419297
Christianity	0.0419036
craftsmanship	0.041886
geology	0.0418722
credibility	0.0418536
archetype	0.0417987
"subject matter"	0.0416992
curriculum	0.0415818
refinement	0.0415174
fiction	0.0414711
staging	0.0413614
canon	0.0412544
magic	0.0412481
"fine art"	0.0412195
mathematics	0.0409806
intangible	0.0408728
contour	0.0408144
inventiveness	0.040754
socialism	0.0407444
destiny	0.0406234
subgenre	0.0406107
"point of view"	0.0405896
"show business"	0.040472
folklore	0.0404575
aspiration	0.0403515
"fantasy world"	0.0403385
archeology	0.0401815
phenomenon	0.0400028
))
(aesthetics (desc 1565) (sims
morals	0.0518215
viciousness	0.0465541
"legal code"	0.0442866
Impressionism	0.0407546
complexion	0.0402708
))
(Aetna (desc 11831.9) (sims
Humana	0.228126
"Aetna Inc."	0.217772
McKesson	0.195239
"Thermo Electron"	0.183717
Cigna	0.179564
RJR	0.178424
"United Healthcare"	0.176512
"Aetna U.S. Healthcare"	0.176021
UAL	0.170753
Sunbeam	0.165503
Mannesmann	0.164264
"Blue Cross"	0.160112
WELLPOINT	0.159103
WorldCom	0.158628
Litton	0.157878
TYCO	0.157794
"P&AMP;G"	0.157282
NatWest	0.156369
Monsanto	0.155798
Cendant	0.154611
Aegon	0.154529
Halliburton	0.154008
Seagram	0.153337
Raytheon	0.151469
"U S West"	0.15122
Qwest	0.150661
Viacom	0.15006
"American Home"	0.149927
"BP Amoco"	0.149228
Federated	0.148697
NiSource	0.148349
Mattel	0.1469
Exxon	0.145817
AutoNation	0.144919
Bestfoods	0.144789
Unilever	0.144174
GTE	0.144144
AMR	0.144142
Warner-Lambert	0.143846
AIG	0.143363
SmithKline	0.143004
Allstate	0.142722
ALZA	0.141212
"American International Group"	0.140582
Nortel	0.140052
"MCI WorldCom"	0.139328
Starwood	0.139294
Vivendi	0.138615
WPP	0.138598
"State Farm"	0.138194
"RJR Nabisco"	0.138121
ExciteAtHome	0.138012
SBC	0.138003
Norwest	0.137876
ENTREMED	0.13712
Lockheed	0.136782
Georgia-Pacific	0.136404
Pfizer	0.136198
VENATOR	0.136134
"Time Warner"	0.135969
ARCO	0.135531
"Bell Atlantic"	0.135312
Emulex	0.134541
Genzyme	0.13372
BellSouth	0.133676
Ciena	0.133491
"Kaiser Permanente"	0.133429
GANNETT	0.133363
"Telecom Italia"	0.133187
"Rite Aid"	0.132913
NORTHROP	0.13274
UBS	0.132658
Livent	0.132177
Airtouch	0.132041
Honeywell	0.131471
Compaq	0.13121
Healtheon	0.131132
"Deutsche Telekom"	0.131028
COLTEC	0.130297
Amgen	0.13025
Genentech	0.130177
Healtheon/WebMD	0.130052
"Y&AMP;R"	0.129717
Dupont	0.129498
"Learning Co."	0.12907
Mediaone	0.129008
BankAmerica	0.12873
"National Grid"	0.128634
Texaco	0.128586
Asarco	0.128039
CMGI	0.127417
"Coca-Cola Co."	0.12728
Conseco	0.126166
TELLABS	0.126135
"Times Mirror"	0.126063
"Global Crossing"	0.126024
Biogen	0.125645
"Deutsche Bank"	0.125639
Pepsico	0.125611
prudential	0.125402
REVLON	0.125127
Hasbro	0.124721
Tenneco	0.124235
"Bankers Trust"	0.124084
MindSpring	0.12406
Daimler	0.123952
"American Home Products"	0.123819
Alcoa	0.123539
Corning	0.123499
XYLAN	0.123345
Pacificare	0.122935
Telefonica	0.122779
"America West"	0.122733
"Waste Management"	0.122634
BankBoston	0.122625
MCI	0.122304
Kaiser	0.122278
Terra	0.122203
Nabisco	0.122189
insurer	0.121726
Providian	0.121479
EarthLink	0.121226
Allianz	0.120513
Chiron	0.120362
Checkfree	0.12018
Chevron	0.119915
Mobil	0.119483
"US Airways"	0.119438
E-LOAN	0.119369
"Phelps Dodge"	0.119274
Gillette	0.119182
Vodafone	0.118943
"Harvard Pilgrim"	0.118266
"Con Edison"	0.118216
Medtronic	0.118205
DaimlerChrysler	0.118183
TCI	0.117578
ING	0.117254
MP@.com	0.116926
Motorola	0.116715
Penney	0.116671
"Gap Inc."	0.116638
Generali	0.116392
Deutsche	0.116361
Citicorp	0.116127
AXA	0.116075
Comsat	0.11601
Schwab	0.115725
Citigroup	0.115656
"Philip Morris"	0.115487
Weyerhaeuser	0.115086
EMC	0.114901
ascend	0.114672
"U.S. Trust"	0.114389
IDT	0.114284
Lycos	0.114248
Cisco	0.114232
Lilco	0.114166
"News Corp."	0.114099
Intel	0.113664
Warnaco	0.11319
Daimler-Benz	0.113173
"First Union"	0.112819
VoiceStream	0.112712
Ge	0.112552
Gilead	0.111939
AHP	0.111219
PLDT	0.111174
CNET	0.110946
"Johnson &AMP; Johnson"	0.110851
Coca-Cola	0.110812
Kodak	0.110724
"Tribune Co."	0.110215
"Air Canada"	0.110113
"KCP&AMP;L"	0.109979
Kroger	0.109793
Avondale	0.109622
"Walt Disney Co."	0.109595
BCE	0.109389
Hewlett-Packard	0.109133
oracle	0.109075
"Cox Communications"	0.109039
WebMD	0.108929
"America Online"	0.108845
"Berkshire Hathaway"	0.108615
Novell	0.108609
"Wells Fargo"	0.108603
IBM	0.108535
"Sara Lee"	0.108453
Amoco	0.108431
Kellogg	0.108411
Renault	0.108379
Priceline	0.108241
BofA	0.107594
HSBC	0.107247
Marketspan	0.107115
Ameritech	0.106774
"Dow Chemical"	0.10662
MiniMed	0.106575
Bertelsmann	0.106544
Nextel	0.106525
Hancock	0.106509
Hoechst	0.106455
"Times Co."	0.106331
"Computer Associates"	0.10629
"Bausch &AMP; Lomb"	0.106267
NationsBank	0.106178
Delphi	0.106171
NTL	0.10612
Olivetti	0.106058
"Boston Scientific"	0.10605
"Stride Rite"	0.105983
Albertson's	0.105709
ENTERGY	0.105135
Seagate	0.105069
UTC	0.104833
"International Paper"	0.10482
GEC	0.104386
"J&AMP;J"	0.104299
AMP	0.104238
ICI	0.104027
Glaxo	0.103716
GeoCities	0.103699
SFX	0.103607
GM	0.103505
Enron	0.103448
"Ford Motor"	0.10321
Diageo	0.103123
HMO	0.103122
UAM	0.102922
Novartis	0.102907
"Boeing Co."	0.102784
"UAL Corp."	0.102682
excite	0.102598
Webvan	0.10234
"Procter &AMP; Gamble"	0.102333
"Dayton Hudson"	0.102331
"Societe Generale"	0.102329
AOL	0.102317
Qualcomm	0.102126
AlliedSignal	0.102056
"Morgan Stanley"	0.102025
Cabletron	0.101865
Bristol-Myers	0.101203
"Food Lion"	0.101071
Alltel	0.100848
"True North"	0.10072
NTT	0.100666
Boeing	0.100629
"Niagara Mohawk"	0.100503
Unicom	0.100126
Gazprom	0.100124
))
("Aetna Inc." (desc 1786.59) (sims
"American International Group"	0.298964
Aegon	0.228759
Aetna	0.217772
AXA	0.182734
"Seagram Co."	0.180031
"Bertelsmann AG"	0.162842
"SBC Communications Inc."	0.16054
"Travelers Group"	0.158736
"Hughes Electronics Corp."	0.155163
"Viacom Inc."	0.154733
"Hearst Corp."	0.153856
"WorldCom Inc."	0.153529
Allianz	0.151316
"UAL Corp."	0.148029
Vivendi	0.147881
Totalfina	0.146797
"Halliburton Co."	0.146387
"Merck &AMP; Co."	0.133869
"Chase Manhattan Corp."	0.13373
ING	0.133654
"AMR Corp."	0.133204
"Abbott Laboratories"	0.133028
"Gap Inc."	0.130022
HSBC	0.128072
McKesson	0.126978
Litton	0.126865
"Exxon Corp."	0.125413
"News Corp."	0.124974
"Enron Corp."	0.124527
Viacom	0.124295
Generali	0.124182
"Softbank Corp."	0.12372
"UBS AG"	0.123433
ExciteAtHome	0.123187
"Oracle Corp."	0.123091
"Cendant Corp."	0.122646
"NEC Corp."	0.122507
"Time Warner Inc."	0.12242
TCI	0.121829
AMR	0.120868
"Federated Department Stores"	0.119348
Bertelsmann	0.119328
"Prudential Insurance Co."	0.118331
Novartis	0.117871
GEC	0.117642
"USA Networks"	0.117462
"Sony Corp."	0.115315
Halliburton	0.114768
"Total Fina"	0.114305
"Siemens AG"	0.113922
"Lockheed Martin Corp."	0.113291
"Computer Associates"	0.11282
"International Business Machines Corp."	0.112269
"National Grid"	0.112181
"Reed Elsevier"	0.112013
Eni	0.111594
Cigna	0.111366
"Hearst Corporation"	0.111262
"Coca-Cola Co."	0.111082
"Walt Disney Co."	0.110567
China.com	0.109805
"Daewoo Group"	0.109756
"Johnson &AMP; Johnson"	0.108944
"Tele-Communications Inc."	0.108884
"Knight Ridder"	0.108686
"BP Amoco"	0.108236
"Berkshire Hathaway"	0.107148
"Dow Jones &AMP; Co."	0.107103
"Citigroup Inc."	0.106593
WPP	0.106503
Telefonica	0.106406
UAL	0.106404
"SBC Communications"	0.106259
SFX	0.105561
Enron	0.10548
Pepsico	0.105457
"Volkswagen AG"	0.105394
"HSBC Holdings"	0.105285
"Symantec Corp."	0.105013
"Times Mirror Co."	0.104855
"BankAmerica Corp."	0.104746
"Tribune Co."	0.104238
"Monsanto Co."	0.104066
Hasbro	0.103719
"ELF AQUITAINE"	0.103611
Healtheon/WebMD	0.103419
"Royal Dutch/Shell"	0.103319
Westinghouse	0.103314
Yukos	0.103176
AmeriTrade	0.103165
"Credit Suisse"	0.10263
AIG	0.102452
Cablevision	0.102359
Unilever	0.102251
"General Electric"	0.102159
Seagram	0.101882
Publicis	0.101871
"Deutsche Bank"	0.101792
"Chevron Corp."	0.101315
"Mattel Inc."	0.101222
Exxon	0.101141
WorldCom	0.100917
Corp.	0.100101
"Chase Manhattan"	0.099815
"Northeast Utilities"	0.0995556
Genzyme	0.0994872
Allstate	0.0993704
Emulex	0.0986921
YankeeNets	0.0982636
Federated	0.097804
"Pepsico Inc."	0.0976265
Astra	0.0976186
"Eli Lilly"	0.0973488
"Motorola Inc."	0.0972938
"American Home Products Corp."	0.0970277
"Raytheon Co."	0.0968109
IDT	0.0966019
"Nippon Telegraph"	0.096481
"General Electric Co."	0.0964496
"Deutsche Telekom"	0.096271
REPSOL	0.0957761
"Ford Motor Company"	0.0955873
BBDO	0.0955747
Schlumberger	0.0953602
"Hyundai Group"	0.094344
Citigroup	0.094337
ENTREMED	0.0942506
"Cisco Systems Inc."	0.0939366
NatWest	0.0935226
E-Trade	0.0934729
Starwood	0.0932706
"MCI WorldCom"	0.0932247
"Pharmacia &AMP; Upjohn"	0.0930922
Bridgestone	0.0929898
"Y&AMP;R"	0.0929823
"BellSouth Corp."	0.0927524
Omnicom	0.0924879
"Omnicom Group"	0.0924268
"CMGI Inc."	0.0923534
"Bell Atlantic Corp."	0.0922151
ZIFF-DAVIS	0.0921362
"Dayton Hudson"	0.0920345
Biogen	0.0917911
Daimler	0.0913732
"Boston Scientific"	0.0908257
"Ford Motor"	0.0905193
"RJR Nabisco"	0.0904891
"Hughes Electronics"	0.090452
EMC	0.0902752
TYCO	0.0901637
"First Union Corp."	0.0901128
"Cisco Systems"	0.0899602
"HBO &AMP; Co."	0.0890498
"U.S. Trust"	0.0890329
Daimler-Benz	0.0889011
Roche	0.0887919
"State Farm"	0.0887809
Healtheon	0.0887658
Merck	0.0885957
Mannesmann	0.0883804
"Con Edison"	0.0881998
"Cadbury Schweppes"	0.0879593
Citicorp	0.0878556
Mattel	0.0878355
Monsanto	0.0873736
"Time Warner"	0.0873401
"Aetna U.S. Healthcare"	0.0870484
"National Semiconductor"	0.0868289
AMP	0.0866326
"CBS Corp."	0.0866165
"American Home Products"	0.0865465
"Blue Cross"	0.0864828
"Ford Motor Co."	0.0863466
Marketspan	0.0858211
"Pfizer Inc."	0.0857758
Georgia-Pacific	0.0853798
SBC	0.0853013
Alcatel	0.0852208
Sunbeam	0.0849484
Alcoa	0.0846055
"Boeing Co."	0.0844391
Pfizer	0.0837807
BankAmerica	0.0835678
"General Motors Corp."	0.0835368
"Times Co."	0.0835327
Warner-Lambert	0.0833566
Lukoil	0.0833043
Novell	0.0831981
Norwest	0.0826202
Inc.	0.0825276
Kroger	0.0821646
Bestfoods	0.0821414
"New York Times Co."	0.0821163
"Wells Fargo"	0.0820209
Priceline	0.0817715
Glaxo	0.081725
"J&AMP;J"	0.0815073
Humana	0.0814549
Cendant	0.0813185
"GE Capital"	0.0805337
))
("Aetna U.S. Healthcare" (desc 1565.08) (sims
"United Healthcare"	0.245006
Humana	0.181986
"Kaiser Permanente"	0.180066
Cigna	0.177435
Aetna	0.176021
"Blue Cross"	0.137323
Pacificare	0.121308
WELLPOINT	0.118247
"American Family Publishers"	0.0997717
"Blue Shield"	0.0996513
"Publishers Clearing House"	0.0877287
"Southwestern Bell"	0.0875423
"Kraft Foods"	0.087404
"Aetna Inc."	0.0870484
"Cendant Corp."	0.0832033
Wyeth-Ayerst	0.0819221
"Chevron Corp."	0.0817361
RJR	0.0810741
Kaiser	0.0808164
Anheuser-Busch	0.0789303
Marconi	0.0778191
"Ford Motor"	0.0776182
AUM	0.0774759
"Weight Watchers"	0.0769149
"Cuban American National Foundation"	0.0757417
Frito-Lay	0.0750774
DirecTV	0.0743645
Searle	0.0739132
CWA	0.0737804
"Handgun Control"	0.0732865
"BellSouth Corp."	0.0726015
"Wal-Mart Stores"	0.0724683
"American Home Products Corp."	0.0722122
"Harvard Pilgrim Health Care"	0.0717707
Dreyfus	0.0713338
"Department of Public Safety"	0.0701936
Allstate	0.0694769
"First USA"	0.0694678
"Pacific Bell"	0.0694617
"Pratt &AMP; Whitney"	0.0694533
"American Association of Health Plans"	0.069085
"Consolidated Edison"	0.0683064
"regular army"	0.0676522
"American International Group"	0.0664416
"Hughes Electronics"	0.0664395
GTE	0.0662944
prudential	0.0660865
MTA	0.066086
AHP	0.0660527
Shinn	0.0660369
"Southern Co."	0.0660133
ENTERGY	0.0651614
All-Tech	0.0650018
"Philip Morris Cos."	0.0647737
CEC	0.0645645
Mikhailov	0.0643554
"Eastman Kodak Co."	0.0642603
emachines	0.0640516
"State Farm"	0.0640405
ICI	0.0639978
"Packard Bell"	0.0638385
Georgia-Pacific	0.0636807
Publicis	0.0635937
"American Home Products"	0.0635297
Gunmakers	0.0630277
"Republican Guard"	0.0628658
Musa	0.0625371
"Abbott Laboratories"	0.0623675
Odwalla	0.0623097
"Department of Environmental Protection"	0.0621716
Interpublic	0.062158
Cyrix	0.0621569
"Department of Corrections"	0.0619053
"customs service"	0.0618906
Instinet	0.0618197
Unisys	0.0615579
Bristol-Myers	0.0611242
NCEC	0.0610098
"Food Lion"	0.0609593
BNFL	0.0609047
Kulikov	0.0605527
"Planned Parenthood"	0.0600155
"Cincinnati Enquirer"	0.0599294
"Sears, Roebuck &AMP; Co."	0.0596107
"U.S. Customs Service"	0.0595607
"Handgun Control Inc."	0.0589922
DiCarlo	0.058872
"Pepsi Cola"	0.0586525
"House Majority Whip Tom DeLay"	0.0586057
"Bankers Trust Corp."	0.0585441
Litton	0.0584996
"Time Inc."	0.0584535
"Sony Corp."	0.0583695
Borodin	0.0582129
Kozeny	0.0581408
Longo	0.0581321
"Circuit City"	0.0579833
Dasa	0.0574225
GANNETT	0.0573729
"Delphi Automotive Systems"	0.0571391
"Sprint PCS"	0.0568636
CSC	0.0566235
"Air Force Reserve"	0.0565806
Arens	0.0565287
"American Association of Retired Persons"	0.0565274
Uunet	0.0563406
DEP	0.0560708
Nabisco	0.0557786
"New Jersey State Police"	0.0556096
"U.S. Olympic Committee"	0.0555862
WPP	0.0555237
"Chase Manhattan Corp."	0.0554891
UNP	0.0553512
Laudor	0.05527
Ge	0.0552532
"International Ski Federation"	0.055238
"Kenyan Government"	0.0552225
Toysmart	0.0552102
"True North"	0.0549029
AGL	0.0548006
"Los Angeles City Council"	0.054773
"Toys R Us"	0.0547355
"Con Edison"	0.0546546
Providian	0.0546375
"communicable disease"	0.0544536
Hynes	0.0544495
Ghani	0.0544173
Scientific-Atlanta	0.054195
"Delta Force"	0.053926
Cornyn	0.0538817
"Isaac Mizrahi"	0.0538619
Kalejs	0.0535635
NSC	0.0531704
"Mather Worldwide"	0.0531292
Taleban	0.0528381
MetLife	0.0526891
"MindSpring Enterprises"	0.0526696
Aegon	0.0526084
"Adobe Systems"	0.052534
Teresi	0.05253
Blackthorne	0.0524897
Scharping	0.0524313
"Royal Caribbean"	0.0523465
"health maintenance organization"	0.052321
"Virgin Atlantic"	0.0522157
AXA	0.0522088
"Jenny Jones Show"	0.0521722
"World Jewish Congress"	0.0521489
"Ford Motor Co."	0.0521314
"Metropolitan Transportation Authority"	0.052122
"Carlos Salinas"	0.0520775
Shayler	0.0520261
Hasbro	0.0518691
"Paramount Pictures"	0.0518485
"John Hancock"	0.0518048
Duracell	0.0517355
"Dow Corning"	0.0517059
Datek	0.0516875
Mucha	0.0516871
"UBS AG"	0.0516101
Giacchetto	0.0515812
"House Appropriations Committee"	0.0515323
Cendant	0.0515171
"Truth Commission"	0.0514352
"Anti-Defamation League"	0.0514224
Hertz	0.0512226
FOMC	0.0511042
diagnostics	0.0510813
counterterrorism	0.0509996
Karimov	0.0509513
"U.S. Forest Service"	0.0509338
Lundy	0.0508817
"Forest Service"	0.0507978
"Learning Co."	0.050622
Soares	0.0506127
"American Civil Liberties Union"	0.0505892
"Conde Nast"	0.0505856
"Network Associates"	0.0504646
TYCO	0.0504483
CFTC	0.0502596
"Democratic Senatorial Campaign Committee"	0.0501509
Alcatel	0.0500983
"investment banking"	0.050063
ING	0.0500351
"Diamond Multimedia"	0.0499417
Lorillard	0.0498554
"Hearst Magazines"	0.0498247
Beazley	0.0496815
"Western Union"	0.0496417
"specialty chemical"	0.0496349
"Wyeth-Ayerst Laboratories"	0.0495607
Kroll	0.0494686
Fabius	0.0494593
"Imelda Marcos"	0.0494114
"PG&AMP;E"	0.0492862
Gaynor	0.0492814
CWC	0.0492767
SAS	0.0491973
NDF	0.0491798
Hagelin	0.0491737
))
(AFA (desc 931.417) (sims
ZCTU	0.178665
COSATU	0.153486
"Senate Republican"	0.153006
CAA	0.150266
UAW	0.148538
UUP	0.145943
"Association of Flight Attendants"	0.145393
CWA	0.143469
"House GOP"	0.12472
OCA	0.113611
UML	0.113153
MPAA	0.108111
SPP	0.106496
IAI	0.105869
"Republican House"	0.105049
NARAL	0.105024
NCEC	0.104719
"Players Association"	0.104468
ITC	0.103782
Teamsters	0.1037
UFW	0.103598
Alioto	0.101529
"machinists union"	0.101411
UNP	0.101322
AOC	0.101235
BSA	0.100997
INC	0.100904
UNIP	0.100078
ENTERGY	0.0994131
DMA	0.0972751
"Allied Pilots Association"	0.0970745
CSE	0.0969571
"House Republican"	0.0952969
OPIC	0.0926723
FEMA	0.092579
WEF	0.0924481
ISU	0.092263
PCF	0.0919992
Massport	0.0918544
SSB	0.0917506
"Ulster Unionist"	0.0912697
EBRD	0.0905978
"United Auto Workers"	0.0899003
MQM	0.0894178
Esser	0.0885214
Oneidas	0.0884393
IEA	0.0882693
CalPERS	0.0876199
"U.S. Soccer Federation"	0.087267
Wada	0.0872104
ITF	0.0866335
"Defense Agency"	0.0865574
DFB	0.0858223
"NFL Players Association"	0.0857287
APA	0.0846527
Condon	0.0845513
USOC	0.0844841
NASD	0.0842951
UDF	0.0842326
SPS	0.0842219
SCI	0.0834477
PNP	0.0834347
NP	0.0833904
"Local @@"	0.0833732
"Culture Ministry"	0.0833722
TDB	0.0828259
"New York Civil Liberties Union"	0.0825862
"Consolidated Edison"	0.0824097
IAAF	0.0820099
Nepa	0.0813223
PBSI	0.0813152
YankeeNets	0.0810443
"Australian Olympic Committee"	0.0808445
Bliley	0.0805038
PETROBRAS	0.0802227
RIAA	0.0800677
Bi	0.0799227
Leedham	0.079895
CBI	0.079788
CFTC	0.079715
PBA	0.078803
House-Senate	0.0778127
KPA	0.0773402
Kimbell	0.0773364
CUF	0.0772513
CAF	0.0769965
HKFA	0.0765982
ama	0.0758286
"Business Council"	0.075558
"Bosnian Muslim"	0.0750487
SDS	0.0749934
USTA	0.0749091
Generali	0.0748696
"EU Commission"	0.0748289
"U.S. Defense Department"	0.0747666
TAZARA	0.0747641
"Asian Football Confederation"	0.0745146
"Motion Picture Association of America"	0.0744963
CMA	0.0742137
MSF	0.0739757
MDC	0.073675
CPV	0.0735621
SPLA	0.0734545
Histadrut	0.0734138
Renamo	0.0733555
teamster	0.072957
IFP	0.0727555
"British Foreign Office"	0.0727415
MPLA	0.072347
Caltrans	0.0721711
Bondevik	0.0721099
DAP	0.0720551
FSA	0.0718168
FIS	0.0715559
FPL	0.0714583
UCI	0.0713448
DP	0.0712175
Baucus	0.0709488
ACLU	0.0708041
NDF	0.0704538
UDM	0.0703242
"Phelps Dodge"	0.0701765
NSC	0.0701637
CPP	0.0701362
Inkatha	0.0700582
NDP	0.0699944
BNFL	0.0699918
CPAFFC	0.0699386
"Transport Ministry"	0.0699252
OAS	0.0696935
Zajedno	0.0696504
BLM	0.0694935
CDB	0.0693379
Overnite	0.0692346
IPU	0.0689883
"Department of Public Health"	0.0686218
PPP	0.0686189
SAS	0.0685173
"Home Ministry"	0.0683223
VFW	0.0682666
ACOG	0.0681328
"Kosovo Albanian"	0.0678065
MBNA	0.0676171
CDU	0.0676024
MTA	0.0675971
AFL-CIO	0.0674782
SDB	0.0674111
"Sierra Club"	0.0673713
Caddell	0.0673393
SFA	0.0673309
SDLP	0.0672436
"other nine"	0.0672148
SBA	0.0671542
DLC	0.0671284
INEC	0.0671167
Abkhazian	0.0668776
"Con Ed"	0.0664936
MILF	0.0662388
"Ocean Spray"	0.0661301
"Screen Actors Guild"	0.0660152
"National Association of Broadcasters"	0.0658948
DOJ	0.0656278
"Bank of Scotland"	0.0651978
"United Steelworkers"	0.0649494
"Air Transport Association"	0.0648763
Schering	0.0648238
Icahn	0.0648064
UAL	0.0647769
Boehner	0.0647664
Demps	0.0647072
"Housing Authority"	0.0645576
FA	0.0644032
PATA	0.0643454
FN	0.0643202
"Industry Ministry"	0.0641546
"Communications Workers of America"	0.064043
PETA	0.0640008
MRTA	0.0639761
"International Tennis Federation"	0.0639693
Zapatista	0.063922
Pd	0.0638755
"Recording Industry Association of America"	0.0637987
HDZ	0.0637716
NCI	0.0637596
CBO	0.0636849
HCFA	0.0636683
"Labour Party"	0.0635804
Alford	0.0635077
ADL	0.0634923
Pemex	0.0633757
FIBA	0.0630566
machinist	0.062832
SDPC	0.0627457
ACFTU	0.0625828
"U.S. Chamber of Commerce"	0.0623859
iXL	0.0623599
CBK	0.0623069
"Pacific Lumber"	0.0622538
NLD	0.0622369
CAAC	0.0621774
))
(AFC (desc 12606.2) (sims
NFC	0.373773
"Western Conference"	0.182705
ACC	0.182034
Pac-@@	0.167159
"Division I-AA"	0.164996
"AFC East"	0.152502
"Eastern Conference"	0.152029
NL	0.149729
"AFC West"	0.148744
"National League"	0.148293
"Big @@"	0.146321
NFL	0.144492
"Big East"	0.144055
"Big Sky"	0.143624
"Southeastern Conference"	0.141034
"NFC East"	0.135839
"Central Division"	0.134144
"American League"	0.133223
"AFC Central"	0.130206
"Big Sky Conference"	0.130134
A.L.	0.12664
"National Football League"	0.124007
"Western Athletic Conference"	0.120137
"NFC Central"	0.116442
"Pacific Division"	0.114956
"AL West"	0.113473
"NL West"	0.112513
"NFC West"	0.112353
SEC	0.112146
Pacific-@@	0.111663
league	0.10981
WAC	0.109679
NHL	0.109133
"Midwest Regional"	0.106936
"NL Central"	0.106882
"West Regional"	0.105461
"Atlantic Coast Conference"	0.102663
al	0.100361
"Asian Football Confederation"	0.099685
"National League West"	0.0979563
"National Hockey League"	0.0978685
"South Regional"	0.097473
Bundesliga	0.0960511
"American League West"	0.0952828
"Atlantic Division"	0.0949251
"AL Central"	0.0945282
"Eastern Division"	0.0941258
NCAA	0.092683
ml	0.0922943
"NL East"	0.089409
"AL East"	0.0890327
CONCACAF	0.0887528
CWS	0.0876199
AFL	0.0871105
WNBA	0.0867455
"National League Central"	0.086659
WCC	0.0850757
NBA	0.0839666
"Division @"	0.0810002
UEFA	0.080637
"International League"	0.0790939
"SEC East"	0.0782197
"Conference USA"	0.0778804
"National Basketball Association"	0.0778416
BCS	0.0773064
"Super Bowl"	0.0766142
"American League East"	0.0763188
falcon	0.0751835
"Fed Cup"	0.0748527
"Funny Car"	0.073356
AHL	0.0730997
FIFA	0.0729849
"American Hockey League"	0.0729235
"Little League World Series"	0.0726752
"Premier League"	0.0725251
"Northeast Division"	0.0720774
AL.	0.071079
tourney	0.0709152
"ATLANTA FALCONS"	0.0705704
"Green Bay Packers"	0.0705175
Huskers	0.0701068
"Top Fuel"	0.0699387
bronco	0.0697114
"major league"	0.069472
"National Invitation Tournament"	0.0682872
"Federation Cup"	0.0680581
"Tennessee Titans"	0.0675498
Steelers	0.0674603
"NFL Europe"	0.0671959
"junior middleweight"	0.0667711
"Copa America"	0.066132
"Ivy League"	0.0658383
"National League East"	0.0654244
"St. Louis Rams"	0.0649935
UCI	0.0647644
"Thomas Cup"	0.0647323
nit	0.0643979
"Italian League"	0.0632202
"Big West"	0.0631633
"NCAA Tournament"	0.0629597
"East Regional"	0.0625155
"National Collegiate Athletic Association"	0.062441
"Stanley Cup"	0.0624106
cruiserweight	0.0623261
BEARS	0.0619541
"Sweet @@"	0.0619273
"World Group"	0.0618509
"Fiesta Bowl"	0.0617535
IHL	0.0610391
"World Championship"	0.0607631
"U.S. Amateur"	0.0606834
"little league"	0.0606533
Giants	0.060514
football	0.0605108
CAA	0.0603169
"junior welterweight"	0.0601839
Seahawks	0.060056
"Group @"	0.0599197
CBA	0.0596894
"World Series"	0.0593003
men's	0.0591863
IAAF	0.0591368
Redskin	0.0587942
"Winston Cup"	0.0587677
"Green Bay"	0.0587593
flyweight	0.058623
USC	0.0585498
"European Cup"	0.0582672
"Horned Frogs"	0.058146
FSU	0.0581213
"U.S. Senior Open"	0.0577943
"Super Bowl XXXIII"	0.0576184
"Pan Ams"	0.0574866
backstroke	0.0574861
OCA	0.0574661
Preakness	0.0573847
"Dallas Cowboys"	0.0572228
Serie	0.0570182
"Gold Cup"	0.0569814
"College World Series"	0.0567596
"junior lightweight"	0.0564791
"Carolina Panthers"	0.0564579
"Kentucky Derby"	0.0563641
majors	0.0563007
ISU	0.0562336
freestyle	0.0561532
ram	0.0560582
"Davis Cup"	0.0559966
"Canadian Football League"	0.0559826
Bucs	0.0558747
UCLA	0.0557255
ITTF	0.0552635
playoff	0.0551967
best-of-@	0.0550022
"Uber Cup"	0.0548614
Sooners	0.0548268
"World Cup"	0.0547477
ABL	0.0547203
"Fighting Irish"	0.0546318
"League Cup"	0.0545781
"Class AAA"	0.0543564
"European Champions Cup"	0.0541597
"Champions Cup"	0.0540461
"Tar Heels"	0.0538743
cowboy	0.053693
"Ohio State"	0.0536768
"professional baseball"	0.0536595
under-@@	0.0535632
CSUN	0.0533232
"sugar bowl"	0.0531602
"Denver Broncos"	0.0530725
"Asian Cup"	0.0530707
"ATP Tour"	0.0530317
"British Open"	0.0529729
"US Open"	0.0528286
"Arena League"	0.0528274
postseason	0.0527141
Bengals	0.0527106
"Pro Bowl"	0.0527044
fide	0.0526205
Cavs	0.0525105
NLD	0.0524139
ou	0.0523259
FINA	0.0521118
"batting order"	0.0520095
"Florida State"	0.0519213
"Buffalo Bills"	0.0518705
OSU	0.0517765
"Nittany Lions"	0.0517276
FIA	0.0514591
FIBA	0.0514374
matador	0.0513701
"Continental Basketball Association"	0.0513664
"Arena Football League"	0.0512938
soccer	0.0511819
packer	0.0511776
"World League"	0.051095
"Los Angeles Galaxy"	0.0509721
ABA	0.0508361
PGA	0.050795
))
("AFC Central" (desc 1373.96) (sims
"AFC West"	0.314967
"NFC Central"	0.310912
"NFC West"	0.298882
"AL Central"	0.274367
"Central Division"	0.267927
"National League West"	0.263694
"NFC East"	0.260224
"Atlantic Division"	0.257078
"NL Central"	0.255184
"AFC East"	0.254904
"Pacific Division"	0.244343
"NL East"	0.237419
"Eastern Division"	0.235156
"National League East"	0.219886
"National League Central"	0.219762
"NL West"	0.218423
"AL West"	0.216299
"AL East"	0.215213
"Atlantic Coast Conference"	0.21219
"American League West"	0.20924
"Big Sky Conference"	0.208954
"Northeast Division"	0.192417
"SEC East"	0.192356
"American League East"	0.174399
"MLS Cup"	0.165347
"Little League World Series"	0.159916
"Western Athletic Conference"	0.159395
"Western Conference"	0.153592
"Italian League"	0.147942
Pacific-@@	0.146394
"Big West"	0.143039
"Big Sky"	0.142397
"Pan Ams"	0.142112
A.L.	0.141878
"Division I-AA"	0.140788
WCC	0.140735
"Western Open"	0.13303
AFC	0.130206
"Big East"	0.129772
"Conference USA"	0.129251
"Southeastern Conference"	0.128264
"Eastern Conference"	0.126742
Pac-@@	0.12651
"West Regional"	0.126112
"Italian Cup"	0.124673
ACC	0.12427
"AFC Championship Game"	0.12083
NFC	0.11951
"Funny Car"	0.119117
"Southwest Conference"	0.116599
cruiserweight	0.116558
CWS	0.115129
Bundesliga	0.114021
"Federation Cup"	0.113519
WAC	0.112842
AFL	0.112223
"Premier League"	0.111312
"Busch Grand National"	0.109521
"Uber Cup"	0.10708
"World Championship"	0.105673
"World League"	0.105219
"League Cup"	0.103511
"F.A Cup"	0.102757
"United States Open"	0.10236
"U.S. Senior Open"	0.102045
"U.S. Amateur"	0.101737
"first cup"	0.101622
"Home Run Derby"	0.0998658
"Hong Kong Open"	0.0989205
"hammer throw"	0.0979607
"National Invitation Tournament"	0.0969862
"Fed Cup"	0.0961037
"junior middleweight"	0.0957016
"International League"	0.0956644
"European Cup"	0.095461
"Cup Winners Cup"	0.0945392
"Big @@"	0.0940748
snooker	0.0938193
"Top Fuel"	0.0930506
"junior lightweight"	0.0928796
NL	0.0918967
"Hopman Cup"	0.0915485
WBO	0.0914875
"Juvenile Fillies"	0.091408
"South Regional"	0.090805
decathlon	0.0902194
nonconference	0.0901474
"Gold Cup"	0.0897046
"Japan Open"	0.0896971
"Pan Pacific"	0.0886108
"College World Series"	0.0881852
"Ivy League"	0.0874975
"African Cup"	0.087425
"junior welterweight"	0.0872528
"National League"	0.0867478
EuroLeague	0.0853264
pentathlon	0.0847171
"ski jumping"	0.0843439
"Busch Series"	0.0834956
"spelling bee"	0.0830011
"Canadian Open"	0.0823073
"Group B."	0.0821619
"light heavyweight"	0.08214
"European Champions Cup"	0.0820459
"World Group"	0.0817699
"Grand National"	0.0817505
"Continental Basketball Association"	0.0815063
"World Boxing Council"	0.0805089
"Davis Cup World Group"	0.0801694
flyweight	0.0800546
"Copa America"	0.0800205
"American League"	0.0798983
distaff	0.0796055
"Indy Racing League"	0.0795873
"FA Cup"	0.0792687
"Santa Anita Handicap"	0.0792219
fide	0.0787152
"Midwest Regional"	0.0786397
"Class AAA"	0.0781098
C-USA	0.0781071
"Division @"	0.0766551
Super-G	0.0764634
CAA	0.0763739
"Maurier Open"	0.0753208
"London Marathon"	0.0753004
"NASCAR Winston Cup"	0.0746145
"shot put"	0.0744698
"water polo"	0.0744403
ml	0.0743363
"Blue Grass"	0.0741315
"Arena Football League"	0.0738484
backstroke	0.0737717
nit	0.0737277
skeet	0.0732411
"Alamo Bowl"	0.0732341
IHL	0.0725746
"Arkansas Derby"	0.0723864
Lipton	0.0723851
Slovakian	0.0719094
"Pan American Games"	0.0716367
"three-day event"	0.0715953
"match play"	0.0710297
"East Regional"	0.0708539
best-of-@	0.0708119
"American Football League"	0.0701463
Heptathlon	0.0697534
"Orange Bowl"	0.0697528
nightcap	0.0694486
"NBA Finals"	0.0693115
"Santa Anita Derby"	0.0692825
"second tour"	0.0691503
"Thomas Cup"	0.0691369
decider	0.068955
bantamweight	0.0684824
featherweight	0.068237
"Champions Cup"	0.0681101
tie-break	0.0678209
"Solheim Cup"	0.0677405
"World Boxing Association"	0.0676823
"Sanford Stadium"	0.0673849
"Sunshine State"	0.066645
"Louisiana Derby"	0.0666103
IRL	0.0662894
"American League Championship Series"	0.0658532
"parallel bars"	0.0657785
Busch	0.0653262
welterweight	0.0653109
"National Basketball Association"	0.0650448
"International Boxing Federation"	0.0649753
"basketball league"	0.0648046
"Dinah Shore"	0.0644307
"International Hockey League"	0.0644261
"Sweet @@"	0.064421
"US Open"	0.064407
ECW	0.0642842
"National Collegiate Athletic Association"	0.0642487
"UEFA Cup"	0.0641094
"European Tour"	0.0640527
"ice hockey"	0.0638789
"Cup Classic"	0.0635344
"Cactus League"	0.0634354
under-@@	0.0633737
"Tour de France"	0.063353
PBA	0.0633195
"Donn Handicap"	0.0630871
"batting order"	0.0629976
"Sudirman Cup"	0.0629234
"Top @"	0.0626181
Maurier	0.0624028
BCS	0.0622157
"Atlanta Olympic"	0.0621053
Iditarod	0.0620981
"Peach Bowl"	0.0620832
"Division Series"	0.0619908
"Nissan Open"	0.0619027
"long jump"	0.0618822
"Dunhill Cup"	0.061806
"Stanley Cup"	0.0611703
Ibo	0.0610455
Futurity	0.0608361
))
("AFC Championship Game" (desc 1793.91) (sims
"NFC Championship Game"	0.157826
"East Regional"	0.126291
"AFC Central"	0.12083
"Solheim Cup"	0.115359
"Kickoff Classic"	0.113122
"Western Conference Finals"	0.110636
"Super Bowl XXXIV"	0.106948
"U.S. Senior Open"	0.100691
"Orange Bowl"	0.0996268
"London Marathon"	0.098454
"French Grand Prix"	0.0982273
"playoff game"	0.0979859
"College World Series"	0.0971894
"Buick Classic"	0.0967446
"Stanley Cup Finals"	0.0935931
"Little League World Series"	0.093156
"Mile High Stadium"	0.0930714
"NAPA @@@"	0.09286
"night game"	0.0916797
"MLS Cup"	0.0905143
"South Regional"	0.0887626
"Nissan Open"	0.0866252
"Fiesta Bowl"	0.0856603
"British Grand Prix"	0.0855856
"Hollywood Gold Cup"	0.085237
"Pepsi Center"	0.0848717
NCAAs	0.0847446
nightcap	0.08469
"Buick Invitational"	0.0845636
"Dunhill Cup"	0.0840998
"Memorial Tournament"	0.0823457
"New York City Marathon"	0.081893
game.	0.0811314
"NCAA Tournament"	0.0805235
"Sweet @@"	0.0792449
ALCS	0.0789901
"Cotton Bowl"	0.0789599
"Tour Championship"	0.0783197
"Alamo Bowl"	0.0781802
"Week @"	0.0776052
"All-Star Game"	0.0766487
NLCS	0.0761918
"first cup"	0.0739142
"sugar bowl"	0.0738856
"National Invitation Tournament"	0.0735975
"NBA Finals"	0.0729245
"Gold Cup"	0.0726725
"Division Series"	0.0720843
"Rose Bowl"	0.07205
"Ryder Cups"	0.0716336
"American League Championship Series"	0.071072
"SEC East"	0.0707288
"Pepsi @@@"	0.07054
"second and third quarters"	0.0703185
"AFC East"	0.0702971
"Midwest Regional"	0.0700499
semi	0.0691527
rainout	0.0689444
tourney	0.0686706
"PGA Championship"	0.0679523
"US Open"	0.0672174
"German Open"	0.067196
"Brickyard @@@"	0.0667701
Maurier	0.0667699
"Daytona @@@"	0.0666713
"Holiday Bowl"	0.0666401
"away game"	0.0655005
"Group A."	0.0652056
"Peach Bowl"	0.0651709
"Pro Bowl"	0.064727
"Sanford Stadium"	0.0641703
"Super Bowl XXXIII"	0.0638792
"Australian Open"	0.0638052
"Gator Bowl"	0.0635504
regionals	0.0623811
by-election	0.0619227
Knoxville	0.0617653
"World Group"	0.0612211
"Japanese Grand Prix"	0.0610629
season-opener	0.0609014
"first points"	0.0606199
pro-am	0.0605511
"first overtime"	0.0601748
"West Regional"	0.0600081
"Emmy Awards"	0.0598993
ballgame	0.0595664
"European Cup"	0.059296
"Indy @@@"	0.0592092
"Maurier Open"	0.0591871
CWS	0.0583733
"RCA Dome"	0.0579789
match-ups	0.0577667
tie-break	0.0574502
"Fed Cup"	0.0572352
nit	0.0571926
"dramatic event"	0.057052
"Pacific Classic"	0.0568945
"tax income"	0.0565961
"European Tour"	0.05658
"match play"	0.0564786
cliffhanger	0.0557166
"Consumer Electronics Show"	0.0555131
"extra inning"	0.0550596
"split decision"	0.0542025
"Texas Air National Guard"	0.05324
"Busch Series"	0.0530313
"National League Championship Series"	0.0528864
"Champions League"	0.0528082
mini-camp	0.0522263
"All-Star Games"	0.0521735
"NFL Europe"	0.0515729
"Canadian Open"	0.0515056
"Copa America"	0.0514514
"AL Central"	0.0509529
twosome	0.0505891
"Coors Field"	0.0505597
"last five minutes"	0.0504562
"BellSouth Classic"	0.0504457
"Italian Open"	0.0503879
Meadowlands	0.0503434
matinee	0.0502976
post-season	0.0501211
"Ethiopian Herald"	0.0500338
"U.S. Amateur"	0.0498178
Bradenton	0.0496627
"Pro Bowls"	0.0496223
"Louis Vuitton Cup"	0.0495212
"day game"	0.0493044
"International Hockey League"	0.0492838
"Bay Hill"	0.0492639
OT	0.0492115
"Alam Al Yom"	0.048958
PGA	0.0488585
"Foxboro Stadium"	0.0487684
"first seven"	0.0487641
"Davis Cup"	0.048746
"Super Bowls"	0.0487418
"FA Cup"	0.0486697
"Home Run Derby"	0.0486361
"LPGA Championship"	0.0483267
"Federation Cup"	0.0481541
Brickyard	0.0480689
"Confederations Cup"	0.0474975
Storrs	0.0474387
Serie	0.0473065
"cold snap"	0.0472975
backfield	0.0472926
"Golden Globes"	0.0472041
doubleheader	0.0471531
"ball game"	0.0469835
"Mastercard Colonial"	0.046772
"Senior PGA Tour"	0.0464899
tuneup	0.0464816
"U.S. Opens"	0.046397
"round robin"	0.0463314
"Tony Awards"	0.0463078
"Preakness Stakes"	0.0461935
"Boston Marathon"	0.0461703
"Atlantic Division"	0.0459813
"Nike Tour"	0.0458678
"European Championship"	0.0458114
"Senior Bowl"	0.0455134
"NL East"	0.0455011
"Jason Elam"	0.0452685
"Italian Cup"	0.0446942
"primary election"	0.0445964
"Boston Garden"	0.0445158
"Kentucky Oaks"	0.0444326
singles	0.0444117
temblor	0.0443433
"Premier League"	0.0443317
"line of duty"	0.0441796
"ski race"	0.0441395
"regulation time"	0.0440802
"second tour"	0.0440676
"major league season"	0.043986
"Rivers Stadium"	0.0439699
"big league"	0.0439327
"Round @"	0.0437367
"Champions Cup"	0.0435841
"Canadian Football League"	0.0435747
"first three"	0.0435527
"Big @@"	0.043459
"road game"	0.0433687
"rock bottom"	0.0433497
"U.S. Women"	0.0432595
"Mike Shanahan"	0.0428541
"governor's race"	0.0427377
"Gulf News"	0.0426553
Adelaide	0.0426361
Bundesliga	0.0424534
"boxing ring"	0.0424338
friendlies	0.0424287
"Los Angeles Galaxy"	0.0421944
"National League East"	0.0421868
"Big Sky Conference"	0.0419604
"camp site"	0.041774
"Negro Leagues"	0.04171
"poker game"	0.0414902
"Players Championship"	0.0414887
))
("AFC East" (desc 4208.9) (sims
"AFC West"	0.330337
"NFC East"	0.287062
"NFC West"	0.282787
"AFC Central"	0.254904
"Atlantic Division"	0.254192
"Central Division"	0.251457
"Pacific Division"	0.245319
"NFC Central"	0.240959
"American League West"	0.239072
"NL West"	0.238313
"National League West"	0.237369
"AL West"	0.23573
"Eastern Division"	0.234346
"NL Central"	0.232001
"NL East"	0.21805
"National League Central"	0.212941
"Western Conference"	0.201131
"AL East"	0.198451
"AL Central"	0.197214
"American League East"	0.194504
"Eastern Conference"	0.1931
"SEC East"	0.186379
"National League East"	0.183459
"Atlantic Coast Conference"	0.172442
"Northeast Division"	0.171745
NFC	0.171586
"Southeastern Conference"	0.162292
Pac-@@	0.155191
"Big East"	0.152786
AFC	0.152502
Pacific-@@	0.151913
"Big Sky"	0.149658
"Big Sky Conference"	0.148962
ACC	0.14747
"Division I-AA"	0.135398
"Big @@"	0.129538
A.L.	0.125243
"Western Athletic Conference"	0.123112
"Conference USA"	0.118069
WCC	0.112467
Bundesliga	0.11229
"Western Open"	0.111949
"MLS Cup"	0.109689
"Funny Car"	0.107546
"National League"	0.106984
"Pan Ams"	0.106775
"Little League World Series"	0.106498
"Premier League"	0.106321
nonconference	0.103843
"League Cup"	0.101565
"American League"	0.100851
"Italian League"	0.100502
NL	0.0992807
"Southwest Conference"	0.0980924
"junior middleweight"	0.0980618
WAC	0.0973538
"West Regional"	0.0969923
cruiserweight	0.0950095
CWS	0.0948022
"Top Fuel"	0.0929797
"Big West"	0.0929755
"European Champions Cup"	0.0921596
"New York City Marathon"	0.0903732
flyweight	0.088319
"World Boxing Council"	0.0875808
"junior lightweight"	0.086843
"Japan Open"	0.0860424
"Busch Grand National"	0.0855124
"European Cup"	0.0851629
"Asian Cup"	0.0846655
"light heavyweight"	0.083138
"Grand National"	0.0820666
welterweight	0.0815971
"International League"	0.0812392
"World Championship"	0.0808551
Super-G	0.0807462
"U.S. Senior Open"	0.0800743
"Indy Racing League"	0.0796358
featherweight	0.0794925
"U.S. Amateur"	0.0792783
backstroke	0.0785249
WBO	0.0783969
"Arkansas Derby"	0.0771496
"spelling bee"	0.0771199
"International Boxing Federation"	0.0769647
"Santa Anita Derby"	0.0768796
ml	0.0768055
"first cup"	0.0767964
"Federation Cup"	0.0767931
"Tour de France"	0.0767405
"Gold Cup"	0.0760489
"Canadian Open"	0.0760242
"London Marathon"	0.0754893
"Fed Cup"	0.0753505
"Group A."	0.0753392
breaststroke	0.0745309
slalom	0.0743457
"South Regional"	0.0742689
"Ivy League"	0.0740595
"United States Open"	0.0732471
"American Football League"	0.0729173
BCS	0.0728601
"Boston Marathon"	0.0728263
"Italian Cup"	0.0727645
SEC	0.072741
"World League"	0.0726737
"Busch Series"	0.0725039
"F.A Cup"	0.0724476
"batting order"	0.0724094
"UEFA Cup"	0.0721098
"junior welterweight"	0.0710345
al	0.0708919
"AFC Championship Game"	0.0702971
"Hong Kong Open"	0.0702435
"Libertadores Cup"	0.0702127
"World Boxing Association"	0.0699189
"Group @"	0.0699157
"NASCAR Winston Cup"	0.0699047
"three-day event"	0.0696395
"Copa America"	0.0696274
IRL	0.0691371
freestyle	0.0691237
"Phoenix Open"	0.068333
"Group B."	0.0681566
"high jump"	0.0680922
"National Hockey League"	0.067269
"first nine"	0.0671018
"sugar bowl"	0.0668298
AFL	0.0665841
"Cup Winners Cup"	0.0664856
"Western Conference Finals"	0.0663297
"Division @"	0.0659903
"Cup Juvenile"	0.065979
"US Open"	0.0648979
WBA	0.064883
tourney	0.0647165
"won eight"	0.0645281
"FA Cup"	0.0641114
Lipton	0.0637177
distaff	0.0634766
C-USA	0.0628404
"Kentucky Derby"	0.0623249
"Hopman Cup"	0.0622592
bantamweight	0.0621666
"Champions Cup"	0.061763
"Stanley Cup"	0.0617258
EuroLeague	0.0616332
NHL	0.061456
"shot put"	0.0613294
decathlon	0.060906
Iditarod	0.0607955
"Louis Vuitton Cup"	0.0607066
"horizontal bar"	0.0606785
"French Open"	0.060506
"Confederations Cup"	0.0603983
"won nine"	0.0601824
best-of-@	0.0599443
"Nissan Open"	0.0598898
"British Open"	0.0597559
WNBA	0.0596436
"South American"	0.0592036
"Blue Grass"	0.0591051
"Legg Mason"	0.0590144
"English Premier League"	0.0589608
"U.S. Open"	0.0585854
snooker	0.0583433
Maurier	0.0583365
"Maurier Open"	0.05811
under-@@	0.0580967
"Hollywood Gold Cup"	0.0579724
"Solheim Cup"	0.0579302
Heptathlon	0.0579019
"American Hockey League"	0.0576952
"won seven"	0.0576934
"little league"	0.057504
"Daytona @@@"	0.0573386
"National Football League"	0.0572825
Futurity	0.0569696
Preakness	0.0569153
AHL	0.0566349
biathlon	0.0566
Busch	0.0562704
"triple crown"	0.0555087
"Euro @@@@"	0.0554624
"Home Run Derby"	0.0554266
chess	0.0553785
medley	0.0553334
"major league"	0.0552537
constructor	0.0551352
"College World Series"	0.0550607
"Louisiana Derby"	0.0547853
"Pan Pacific"	0.0547723
"Dubai World Cup"	0.054764
CONCACAF	0.0546438
"Winston Cup"	0.0545623
"Australian Open"	0.0545177
"Fiesta Bowl"	0.054517
pentathlon	0.0545009
F-@	0.0543201
"first six"	0.0542322
))
("AFC West" (desc 1733.79) (sims
"NFC West"	0.357767
"National League West"	0.351055
"AFC East"	0.330337
"NFC Central"	0.323829
"NFC East"	0.3192
"AFC Central"	0.314967
"American League West"	0.309619
"Pacific Division"	0.308926
"Central Division"	0.286331
"Atlantic Division"	0.284978
"NL West"	0.281452
"Eastern Division"	0.276813
"NL East"	0.272928
"American League East"	0.267526
"AL West"	0.267257
"NL Central"	0.267139
"AL East"	0.257337
"AL Central"	0.253695
"National League Central"	0.250716
"National League East"	0.248823
"Big Sky Conference"	0.233071
"SEC East"	0.21629
"Northeast Division"	0.209603
Pacific-@@	0.185909
"Big Sky"	0.181981
"Western Conference"	0.178513
"Atlantic Coast Conference"	0.175419
"Western Open"	0.170483
"Big East"	0.170356
"Western Athletic Conference"	0.167268
WCC	0.165864
A.L.	0.165092
"Southeastern Conference"	0.157382
"Funny Car"	0.157353
Pac-@@	0.15689
"MLS Cup"	0.155015
ACC	0.152771
"Conference USA"	0.151628
AFC	0.148744
"Eastern Conference"	0.147741
Bundesliga	0.147413
"West Regional"	0.14609
"Top Fuel"	0.142087
"Italian League"	0.140725
NFC	0.139791
"Pan Ams"	0.138329
"Big @@"	0.137472
cruiserweight	0.137012
"junior middleweight"	0.13538
"Division I-AA"	0.135072
"Big West"	0.133823
"first cup"	0.132567
"Southwest Conference"	0.132298
"U.S. Amateur"	0.130379
"junior lightweight"	0.130277
"Little League World Series"	0.130072
"Ivy League"	0.128708
flyweight	0.126758
"Premier League"	0.122599
"United States Open"	0.121122
WAC	0.117723
"Fed Cup"	0.117546
"World Championship"	0.11734
"light heavyweight"	0.114227
"League Cup"	0.113492
"junior welterweight"	0.112118
featherweight	0.109102
"U.S. Senior Open"	0.109102
Super-G	0.108212
"World Boxing Council"	0.106517
WBO	0.106067
"International Boxing Federation"	0.104822
EuroLeague	0.103187
"Busch Grand National"	0.102113
"International League"	0.101774
"Federation Cup"	0.101545
"Japan Open"	0.101168
"Hopman Cup"	0.100367
"spelling bee"	0.099287
"African Cup"	0.0989427
pentathlon	0.0985627
"European Cup"	0.0973372
"National League"	0.0970575
welterweight	0.0968936
"NASCAR Winston Cup"	0.0963249
NL	0.0952301
decathlon	0.0950533
"Grand National"	0.0949359
"American League"	0.0943412
"US Open"	0.0933914
Lipton	0.0931494
backstroke	0.0931303
"Pan Pacific"	0.0925511
"Busch Series"	0.0922658
"FA Cup"	0.0912758
"Hong Kong Open"	0.0905398
"World Boxing Association"	0.0902638
fide	0.089353
"F.A Cup"	0.0890052
CWS	0.0888153
"South Regional"	0.088157
constructor	0.0872996
"Dunhill Cup"	0.0869113
"American Football League"	0.086885
"Group @"	0.0868328
"European Champions Cup"	0.0861636
bantamweight	0.0856012
"Uber Cup"	0.0852684
ml	0.0846328
"Home Run Derby"	0.0844291
WBA	0.08343
"Juvenile Fillies"	0.0828347
"Davis Cup World Group"	0.0825869
distaff	0.0821626
Heptathlon	0.081876
"Midwest Regional"	0.0814289
"Copa America"	0.0813649
AFL	0.0807959
"UEFA Cup"	0.0807563
"Tour de France"	0.0807422
"South American"	0.0800735
"first nine"	0.0799933
best-of-@	0.0798259
BCS	0.0796803
"shot put"	0.0795821
Maurier	0.0789855
"ski jumping"	0.0789733
"Cup Winners Cup"	0.0786013
"College World Series"	0.0784453
"London Marathon"	0.0783548
"Solheim Cup"	0.0780524
"Stanley Cup"	0.0779999
"Indy Racing League"	0.0776711
nonconference	0.0773954
"won eight"	0.0772144
"World Group"	0.0765172
hardcourt	0.076483
"Champions League"	0.0762487
WBC	0.0756245
two-time	0.0748971
"African Nations Cup"	0.0747499
"Italian Cup"	0.074607
"Canadian Open"	0.0744048
Iditarod	0.0743933
"Gold Cup"	0.0742766
"Winston Cup"	0.0741024
SEC	0.073897
"Group B."	0.0738367
"batting order"	0.0735729
"hammer throw"	0.0732465
snooker	0.0731578
"Nissan Open"	0.0731544
"Blue Grass"	0.0731276
"Asian Cup"	0.0730053
C-USA	0.0728927
"three-day event"	0.0727238
slalom	0.0727067
"American Hockey League"	0.0721784
"Group A."	0.0719279
"second tour"	0.0718077
IRL	0.0712912
"Nations Cup"	0.0709586
"Maurier Open"	0.0706091
"won nine"	0.070482
"high jump"	0.0702585
under-@@	0.069369
"European Champions League"	0.0693401
"World League"	0.0689415
"Mastercard Colonial"	0.0684089
"Confederations Cup"	0.0681612
"Super Bowl XXXIII"	0.0681146
"French Open"	0.0680965
Brickyard	0.0680397
tiebreak	0.0679441
"Division @"	0.0678443
Busch	0.0676975
NHRA	0.0676121
"Libertadores Cup"	0.0675867
"New York City Marathon"	0.0672614
"sixth minute"	0.0672562
"Top @"	0.0671919
"water polo"	0.0670866
ECW	0.0670129
WNBA	0.0668394
"Champions Cup"	0.0666079
"Hollywood Gold Cup"	0.0665577
Seven-time	0.0664791
tie-break	0.0664486
freestyle	0.0663798
CAA	0.0663498
"Paris Open"	0.066127
"International Hockey League"	0.0658498
"English Premier League"	0.0658391
"British Open"	0.0658286
"first five minutes"	0.0656429
"day game"	0.0652157
"basketball league"	0.0651716
"National Invitation Tournament"	0.0650076
"Santa Anita Derby"	0.0648442
CONCACAF	0.0647311
))
(affability (desc 1774.4) (sims
"good humor"	0.0538806
gallantry	0.0533887
earthiness	0.0530338
erudition	0.052853
"Daily Racing Form"	0.0514184
vibrancy	0.0502586
marketability	0.0500993
musicality	0.0495647
cleanliness	0.0481401
fuzziness	0.0469821
twit	0.046613
ebullience	0.0463679
intellect	0.0447368
self-assurance	0.0442488
sass	0.0434455
composure	0.0429378
Atler	0.0422695
sexiness	0.0419883
bluntness	0.0414954
naturalness	0.041339
combativeness	0.0411135
peccadillo	0.0400625
BIOS	0.040041
))
(affair (desc 163449) (sims
matter	0.160192
relationship	0.157412
scandal	0.138516
issue	0.137387
finance	0.137151
relation	0.13078
development	0.121755
politics	0.119234
policy	0.11921
"foreign policy"	0.116805
situation	0.116039
education	0.114104
security	0.112364
activity	0.112074
process	0.105834
conduct	0.105454
case	0.104703
conflict	0.104631
behavior	0.102922
investigation	0.101874
crisis	0.101578
health	0.101576
environment	0.101337
crime	0.101117
trade	0.0994377
problem	0.0992044
operation	0.0979179
economy	0.097883
sex	0.0978765
commerce	0.0977724
reform	0.0976282
agriculture	0.096759
incident	0.0963834
management	0.0962146
planning	0.0955924
involvement	0.0947821
liaison	0.0945962
"human right"	0.0936714
culture	0.0926989
action	0.0923837
communication	0.0923643
"public security"	0.0914527
role	0.0908003
science	0.0907766
tourism	0.090594
life	0.0903901
cooperation	0.0903552
aspect	0.0894983
dealings	0.0892755
business	0.0883711
protection	0.0869829
allegation	0.0866652
war	0.086146
effort	0.0856793
abuse	0.0856704
decision	0.0856648
economics	0.0856527
government	0.0848224
corruption	0.0847515
event	0.0846345
immigration	0.0845404
dispute	0.0845103
law	0.0844098
administration	0.0838147
controversy	0.0834491
"health care"	0.0833638
dalliance	0.0827888
history	0.0822512
conversation	0.0821856
"arms control"	0.0818045
campaign	0.0816345
violation	0.0815026
research	0.0813715
negotiation	0.0813312
"economic policy"	0.0811141
industry	0.0810236
marketing	0.0809212
topic	0.0808204
sport	0.0806249
wrongdoing	0.0805761
strategy	0.0805719
program	0.0798064
project	0.0795084
work	0.079325
practice	0.0786519
indiscretion	0.0783561
future	0.0782923
election	0.0782043
service	0.0781445
killing	0.0780178
struggle	0.0780173
"Foreign Affairs"	0.0776217
resource	0.0775325
encounter	0.0772818
subject	0.0770171
aviation	0.0769721
stability	0.0769221
department	0.0765167
inquiry	0.0764912
construction	0.0763313
marriage	0.0754919
impeachment	0.0753674
transportation	0.0752889
banking	0.0751053
diplomacy	0.0749885
espionage	0.0748361
misconduct	0.0747172
crises	0.074674
discussion	0.074616
"social welfare"	0.074405
proceeding	0.0743147
Defense	0.074145
taxation	0.0740612
failure	0.0740027
sector	0.0738281
tragedy	0.073808
trial	0.073556
transaction	0.0735378
infidelity	0.0730513
Promotion	0.0729372
technology	0.0728276
transport	0.0728191
meeting	0.0728154
contact	0.0727239
peace	0.0725755
status	0.072546
religion	0.0724879
initiative	0.0724235
infrastructure	0.0723064
debate	0.0722136
study	0.0721822
talk	0.0720984
safety	0.072088
integration	0.0719287
violence	0.0718943
experience	0.0717794
bombing	0.0717252
plan	0.0716267
act	0.0715915
accusation	0.0715482
art	0.071429
massacre	0.0713115
procedure	0.0711681
question	0.0710818
system	0.0710548
conservation	0.0710293
organization	0.0707452
fight	0.0700804
plight	0.0699576
disaster	0.0699311
governance	0.0699043
welfare	0.0699005
employment	0.0698111
"public works"	0.069722
remark	0.0694718
ministry	0.069471
murder	0.0694693
task	0.0692926
abortion	0.0691275
arrangement	0.0690126
telecommunication	0.0689924
enforcement	0.0689236
region	0.0689208
"information technology"	0.0688722
fishery	0.0688718
"human rights"	0.0686314
interest	0.0685744
movement	0.0685702
labor	0.0684163
"family planning"	0.0683859
justice	0.0682792
official	0.0682308
battle	0.0680978
deal	0.0680225
friendship	0.0679984
litigation	0.067985
atrocity	0.0678851
custom	0.0675063
fact	0.067429
thing	0.0673715
perjury	0.0673075
fraud	0.0672984
state	0.0672912
terrorism	0.0670768
theft	0.067071
minister	0.066786
attempt	0.0666905
cause	0.0666484
scheme	0.066595
market	0.0665888
forestry	0.0665453
prevention	0.0664076
fate	0.0663601
Implementation	0.066263
accident	0.066239
sovereignty	0.0662243
"decision making"	0.0662142
handling	0.065971
past	0.0658687
adultery	0.0658236
))
(affect (desc 11356.3) (sims
impact	0.12154
effect	0.106397
repercussion	0.0930275
aftereffect	0.0925033
effects	0.0855652
side-effects	0.0812291
bearing	0.0705962
consequence	0.0671587
"side effect"	0.0662154
ramification	0.0649557
fallout	0.056911
burden	0.0564946
presure	0.0551485
implication	0.0550615
dependent	0.0532142
spillover	0.0525703
brunt	0.050972
recurrence	0.0508265
hardship	0.0500613
toxicity	0.0497349
pity	0.0478586
"up to @ million"	0.0476806
ravages	0.0472296
reliance	0.0469258
occurrence	0.0464906
trauma	0.0463683
scar	0.0462738
downtime	0.0461199
correlation	0.0458647
"inferiority complex"	0.0457082
onslaught	0.0456901
"Kosovar Albanian"	0.0456559
blemish	0.0454982
dependency	0.0454419
hesitancy	0.0453959
stigma	0.0447344
leverage	0.0445349
snuck	0.044478
dependence	0.04411
"tax liability"	0.0437024
slippage	0.043666
follow-through	0.0434675
easing	0.0433657
effectiveness	0.0433491
damper	0.0433026
likelihood	0.0431983
"interest expense"	0.0430664
Limitation	0.042842
urgency	0.0424166
shame	0.042394
hazard	0.0421089
reverberation	0.042097
overlap	0.0420457
constraint	0.0418478
fluctuation	0.0416123
"staying power"	0.0415937
"practical application"	0.0414333
resonance	0.0413135
relevance	0.0411024
risking	0.0410095
discomfort	0.0409017
"more than @@ million"	0.0406822
interaction	0.0405888
aspersion	0.0405699
"about @ million"	0.0405026
casualty	0.0404457
blight	0.040375
impression	0.0402017
dilution	0.0401147
))
(affectation (desc 3092.8) (sims
cohesiveness	0.0606155
cliche	0.0572836
pathos	0.0551595
stimuli	0.0546528
fakery	0.054462
inhibition	0.0504378
smugness	0.0503944
flamboyance	0.0495114
erudition	0.0486189
in-jokes	0.0481867
sophistication	0.0473621
silliness	0.0468869
gibberish	0.0461372
slickness	0.0455003
insularity	0.0454754
artifice	0.0451787
schemer	0.0443182
"architectural style"	0.043727
argot	0.0433334
conceit	0.0424068
abattoir	0.0423698
slapstick	0.0421713
eloquence	0.0419955
edginess	0.0419626
self-consciousness	0.0415361
"creature comforts"	0.0410738
self-confidence	0.0410211
nonentity	0.0407715
"tax income"	0.0406038
fortitude	0.0406031
worldview	0.0405413
diction	0.0401159
opulence	0.0401026
naivete	0.0400201
))
(affection (desc 34499) (sims
admiration	0.174989
sympathy	0.147987
love	0.145167
compassion	0.144532
reverence	0.139635
respect	0.136998
enthusiasm	0.136765
empathy	0.129378
passion	0.127421
fondness	0.126607
pride	0.120695
loyalty	0.115117
gratitude	0.112243
disdain	0.110388
feeling	0.109654
warmth	0.108569
distaste	0.10756
appreciation	0.106451
devotion	0.104316
emotion	0.101948
sadness	0.101763
excitement	0.100405
adoration	0.0990201
kindness	0.0976563
contempt	0.0976542
anger	0.0972717
"good will"	0.0960978
esteem	0.0957689
desire	0.0948146
attention	0.0946767
remorse	0.0939197
praise	0.0938261
sincerity	0.0933452
affinity	0.0932076
pity	0.0923425
hatred	0.0912113
adulation	0.0910824
grief	0.0908456
patience	0.0908167
nostalgia	0.0899325
bitterness	0.0895143
awe	0.0892712
patriotism	0.0888261
sorrow	0.0887029
sense	0.0885496
dislike	0.0885291
friendship	0.087895
humility	0.0873029
joy	0.0863938
confidence	0.0863767
courage	0.0861503
resentment	0.0859532
distrust	0.0855833
candor	0.0853558
pleasure	0.084992
trust	0.0849631
happiness	0.0846362
goodwill	0.08437
frustration	0.0840848
tenderness	0.083651
sensitivity	0.0832595
optimism	0.083201
generosity	0.0825535
fascination	0.08186
longing	0.0817001
determination	0.0812133
skepticism	0.0806102
ambivalence	0.0805951
yearning	0.0804557
anxiety	0.0795761
wish	0.079426
dedication	0.079421
faith	0.0782535
humor	0.0781111
honesty	0.0779758
disrespect	0.0777355
dignity	0.0770741
anguish	0.0770163
curiosity	0.0763648
fervor	0.0758825
willingness	0.074974
delight	0.0749509
tolerance	0.0742882
animosity	0.0741325
solidarity	0.0737938
sentiment	0.0735034
apathy	0.0733524
satisfaction	0.0733104
intimacy	0.0732353
talent	0.0729303
disgust	0.0728771
dismay	0.0725572
acceptance	0.0717733
camaraderie	0.0716184
decency	0.0714007
hospitality	0.071209
flair	0.0710677
understanding	0.0708665
trepidation	0.0708646
forgiveness	0.0706235
discomfort	0.0704106
encouragement	0.0703709
scorn	0.0696204
outrage	0.0695753
hostility	0.0694152
imagination	0.0689344
fear	0.068846
recognition	0.0683259
spirit	0.0679689
intensity	0.0679341
ambition	0.0677169
Creativity	0.0676799
suspicion	0.067596
seriousness	0.0674175
wisdom	0.0672814
disappointment	0.0670806
companionship	0.0669322
charm	0.0666895
comfort	0.0666727
preference	0.0664697
allegiance	0.0662969
inspiration	0.0658834
revulsion	0.0658463
Openness	0.0655585
jealousy	0.0654744
mistrust	0.0652262
nervousness	0.0647908
regret	0.0646483
knowledge	0.0644367
envy	0.0643786
gentleness	0.0643571
"sense of humor"	0.0640956
"sense of duty"	0.0640136
commitment	0.063923
attitude	0.0638173
honor	0.0635843
eagerness	0.0634586
disapproval	0.0633866
indignation	0.0633393
confusion	0.0632329
desperation	0.0632233
strength	0.0632102
belief	0.0630364
exasperation	0.0630094
vulnerability	0.0630014
skill	0.0627854
intelligence	0.0627277
urgency	0.0626198
toughness	0.0626154
cynicism	0.0624722
prejudice	0.0623977
disillusionment	0.0623768
pain	0.0622343
antipathy	0.0619559
selflessness	0.0618081
closeness	0.0617891
applause	0.0617165
"sense of responsibility"	0.0616828
reluctance	0.0614869
ability	0.0614179
influence	0.0612905
hate	0.061273
irony	0.0612592
memory	0.0609585
zeal	0.0608167
sophistication	0.0608165
motivation	0.0607916
wit	0.0607619
obsession	0.0607385
caution	0.0606348
Innocence	0.0606001
wariness	0.060587
exuberance	0.0604853
ignorance	0.06048
appetite	0.0602411
astonishment	0.060207
weariness	0.0599992
acclaim	0.0599203
Romance	0.0598943
awareness	0.0597268
familiarity	0.0596177
laughter	0.0595871
discontent	0.0594134
shame	0.0593047
professionalism	0.0593046
hunger	0.0591829
charisma	0.0590478
care	0.0589381
unity	0.0586884
expectation	0.0586808
impatience	0.0585063
Distress	0.058483
indifference	0.0584198
outpouring	0.0583811
self-confidence	0.0582749
energy	0.0582389
angst	0.0581992
grace	0.0581084
elegance	0.0580361
taste	0.0580126
))
(affidavit (desc 23620) (sims
testimony	0.161665
memo	0.149762
deposition	0.144734
document	0.14454
"legal brief"	0.116292
indictment	0.114614
"charge sheet"	0.114382
filing	0.114169
letter	0.113404
statement	0.113202
memorandum	0.110505
transcript	0.105864
brief	0.103401
complaint	0.0977008
summary	0.0967656
article	0.0919423
prospectus	0.0899391
confession	0.0867641
Declaration	0.0859071
subpoena	0.0844809
"news report"	0.0844245
petition	0.0841298
lawsuit	0.0829788
referral	0.0825295
"news release"	0.0823788
"search warrant"	0.0823344
"financial statement"	0.0807156
"newspaper article"	0.0803141
communique	0.0800371
paper	0.0780688
evidence	0.0769336
"press release"	0.0763079
"tax return"	0.0741147
dossier	0.0734055
"proxy statement"	0.0733365
rebuttal	0.0725623
ruling	0.0696439
videotape	0.0684939
Lewinsky	0.0683082
"tape recording"	0.0682901
"open letter"	0.0681393
"income tax return"	0.0678779
questionnaire	0.0678216
"magazine article"	0.0677479
"legal document"	0.066985
brochure	0.066972
"arrest warrant"	0.0663217
motion	0.065484
"medical report"	0.0654147
correspondence	0.0651584
oath	0.0644848
account	0.0644739
documentation	0.0638285
opinion	0.0638272
questioning	0.0636476
email	0.0632473
allegation	0.0628959
pamphlet	0.0625164
argument	0.0622673
"letter of intent"	0.0618486
assertion	0.061364
manifesto	0.0609992
audit	0.0609933
"birth certificate"	0.0609475
plea	0.0607259
notice	0.0599066
warrant	0.0597092
inquiry	0.0595528
certificate	0.0595175
"white paper"	0.0590978
"medical record"	0.0586095
decree	0.0586095
hearing	0.0586084
"finding of fact"	0.0582151
excerpt	0.0578404
denial	0.0577547
finding	0.0575926
tape	0.0575816
application	0.0575126
paperwork	0.0566566
"progress report"	0.0555752
accusation	0.0554732
recommendation	0.0554291
leaflet	0.0550123
diary	0.0548593
resolution	0.0547862
"credit report"	0.0546707
"official document"	0.0545077
pleading	0.0544922
text	0.0540273
submission	0.0529601
fax	0.0526357
"telephone call"	0.0526298
essay	0.0526092
advertisement	0.0523638
autobiography	0.0523613
"Monica Lewinsky"	0.0521851
cross-examination	0.0521113
booklet	0.0520398
Circular	0.0515992
"false statement"	0.0515324
remark	0.0512102
manuscript	0.0508981
"news article"	0.0505589
biography	0.0505074
data	0.050331
assessment	0.0496411
paragraph	0.0496334
disclosure	0.0495804
memoir	0.0489906
AD	0.0488857
"phone call"	0.0488035
bulletin	0.0486174
guideline	0.0484127
conversation	0.0482704
analysis	0.0481653
obituary	0.0481632
citation	0.0480593
description	0.0478268
"power of attorney"	0.0476495
annex	0.0474618
briefing	0.0472835
flier	0.0472133
statistic	0.0471957
proceeding	0.0471528
directive	0.0468266
map	0.0466932
"final judgment"	0.0465241
"Linda Tripp"	0.0460992
appendix	0.0458692
invoice	0.0458672
conclusion	0.0458639
explanation	0.0457053
telegram	0.0454084
"reorganization plan"	0.0453812
"grand jury"	0.0453804
announcement	0.0452619
passport	0.045051
constitution	0.044972
docket	0.0448534
injunction	0.0447618
profile	0.0446614
"newspaper column"	0.0446437
"Paula Jones"	0.0446339
"tax form"	0.0445488
"circumstantial evidence"	0.044263
warning	0.0442571
proclamation	0.0442435
manual	0.0440391
Lien	0.0436498
verdict	0.0436419
"piece of paper"	0.0434685
editorial	0.0433734
preface	0.0429748
"application form"	0.0428704
fingerprint	0.0427849
perjury	0.0426866
"legal proceeding"	0.0423273
"lying under oath"	0.042327
Bible	0.042304
handbook	0.0422372
notification	0.0421234
charter	0.0418933
investigator	0.0417856
juror	0.0417718
footnote	0.0417659
eyewitness	0.041517
suggestion	0.0415081
presentation	0.0414673
audiotape	0.0413935
Records	0.0413499
"antitrust case"	0.0411919
Willey	0.0410596
summons	0.0409876
interrogation	0.0408957
"news story"	0.0408564
database	0.0406974
litigation	0.0406343
edition	0.0405796
memoranda	0.0404253
commentary	0.0402755
"telephone conversation"	0.0401696
missive	0.040089
revelation	0.0400674
))
(affiliate (desc 48869.7) (sims
subsidiary	0.14048
"television station"	0.120571
"TV station"	0.120204
"radio station"	0.101752
station	0.100774
"farm team"	0.0975775
"television network"	0.0965797
network	0.0922436
firm	0.0898354
"farm club"	0.0897649
branch	0.0871486
"Channel @"	0.0871133
company	0.0857438
"financial institution"	0.084774
corporation	0.0833927
unit	0.0825942
"TV network"	0.0801338
outlet	0.0799603
"cable system"	0.0789413
bank	0.0787983
"cable network"	0.0781084
executive	0.0772623
"finance company"	0.0772509
"Channel @@"	0.0771032
franchise	0.0760183
channel	0.0756912
"commercial bank"	0.0739878
agency	0.0738988
organization	0.0738275
"nonprofit organization"	0.0729608
provider	0.0726853
"insurance company"	0.0725605
airline	0.0719372
"brokerage firm"	0.0716145
broadcaster	0.0715337
"news program"	0.0705296
lender	0.0703248
distributor	0.0694314
office	0.0685501
brokerage	0.068469
business	0.0684428
"holding company"	0.0679944
bottlers	0.0679689
insurer	0.0679089
CBs	0.067689
"ad agency"	0.067671
NBC	0.0675988
"news show"	0.0675475
"U.S. District Court"	0.0675288
"joint venture"	0.0671976
shareholder	0.0669196
"trucking company"	0.0666733
division	0.066628
headquarter	0.0665949
entity	0.0662873
studio	0.0661409
"advertising agency"	0.0660617
institution	0.065888
carrier	0.0657748
ABC	0.065605
enterprise	0.064911
consortium	0.064264
newscast	0.0639098
conglomerate	0.0638679
manager	0.06322
dealerships	0.0631956
operator	0.0629419
"pension fund"	0.0626766
venture	0.0626319
owner	0.0623634
"branch office"	0.0623417
ESPN	0.0623314
CNN	0.0620785
"travel agency"	0.0620658
dealer	0.0620483
employee	0.0620118
manufacturer	0.0618446
customer	0.0617451
retailer	0.0616366
bookstore	0.0612031
"school district"	0.0611028
"executive vice president"	0.0609618
utility	0.0608364
hospital	0.0607619
client	0.0605393
creditor	0.0602755
"general manager"	0.0602042
partner	0.0596003
"Local @@@"	0.0595879
charity	0.0593374
"Time Warner"	0.0592484
"medical center"	0.0591179
automakers	0.0589748
advertiser	0.0589741
employer	0.0588187
supplier	0.0588093
university	0.0587072
PBS	0.0585206
"phone company"	0.0581294
cooperative	0.0579105
GM	0.0576504
factory	0.0575339
"consulting firm"	0.0574714
HMO	0.0573611
"elected official"	0.0573503
contractor	0.0570652
developer	0.0570627
"cable operator"	0.0568455
"publishing company"	0.0566116
newspaper	0.0561951
chapter	0.0561888
facility	0.0559687
broker	0.05561
"board of directors"	0.0552466
"top executive"	0.0551627
arm	0.0547846
operation	0.0547567
"power company"	0.0547315
cable	0.0546314
store	0.0545807
association	0.0545775
investor	0.0544245
bureaus	0.0543983
Fox	0.0543119
producer	0.0543091
union	0.0542682
"brokerage house"	0.0542569
MSNBC	0.05418
CNBC	0.0541607
"police department"	0.0539052
club	0.0532825
competitor	0.0532397
fund	0.0531028
"shipping company"	0.0529777
board	0.0529706
"federal government"	0.0528939
chain	0.0526028
television	0.0525885
borrower	0.0524891
department	0.0524775
"insurance firm"	0.0523755
committee	0.0523166
broadcast	0.0521107
"cable television"	0.0521034
execs	0.0520445
radio	0.0519422
"savings bank"	0.0517967
"school system"	0.0515791
"publishing house"	0.0515654
refinery	0.0515474
asset	0.0512529
"Walt Disney Co."	0.0512505
MTV	0.051248
Univision	0.051187
sector	0.0511729
subscriber	0.0511545
"local government"	0.0511541
"USA Networks"	0.0511012
management	0.0510683
"travel agent"	0.0509215
clinic	0.0508859
wholesaler	0.0508838
"labor union"	0.0507945
institute	0.0507636
"nursing home"	0.0507493
"venture capitalist"	0.0506392
publisher	0.0506285
doctor	0.0505945
"mining company"	0.0504586
startup	0.0501627
"think tank"	0.0501357
maker	0.0500051
brewery	0.0499599
representative	0.049929
flagship	0.0498742
foundation	0.0498647
hub	0.0498555
DirecTV	0.0497589
"real estate"	0.0497316
"mutual fund"	0.0496927
regulator	0.0495943
"telephone company"	0.0494109
"real estate developer"	0.0494018
BBC	0.0493973
"state enterprise"	0.0493475
"health maintenance organization"	0.0493027
Comcast	0.0491714
"public school"	0.049026
"board member"	0.0489399
"department store chain"	0.0489317
businessmen	0.0489226
"baseball team"	0.0488575
"federal court"	0.0487587
industry	0.0487504
dealership	0.0487383
programming	0.0487169
local	0.0486804
Attorney	0.0486143
Motorola	0.0485523
judge	0.048514
))
(affiliation (desc 23970.8) (sims
ethnicity	0.103281
nationality	0.0908382
gender	0.0843934
background	0.0842395
orientation	0.0801794
ideology	0.0799623
identity	0.0785476
allegiance	0.076352
loyalty	0.0736428
"skin color"	0.0734733
"marital status"	0.0734134
religion	0.0730396
status	0.0713831
"social class"	0.0689631
involvement	0.0685675
preference	0.0681951
"religious belief"	0.0677031
creed	0.0670736
origin	0.0667505
relationship	0.0657587
connection	0.0649652
motive	0.0636356
qualification	0.0627669
belief	0.0627287
credential	0.0621761
disability	0.0616673
persuasion	0.0608912
membership	0.060003
geography	0.0594388
leaning	0.059233
clout	0.0577241
partnership	0.056541
faith	0.0564454
association	0.0550254
whereabouts	0.0550103
bias	0.0547621
ancestry	0.0541462
"social status"	0.0538152
motivation	0.0537643
identification	0.0537114
personality	0.0534167
seniority	0.0531524
kinship	0.052376
opinion	0.0521353
morality	0.0518511
philosophy	0.0513556
Alliance	0.0513029
heritage	0.0511436
sex	0.0507227
viewpoint	0.0507166
intention	0.050087
personage	0.0500345
moral	0.0497766
collaboration	0.0496818
agenda	0.0493578
ownership	0.0488819
knowledge	0.0488344
willingness	0.0487762
habit	0.0485778
tradition	0.0485195
ethic	0.0483398
dogma	0.0482631
characteristic	0.0477805
endorsement	0.0475368
feud	0.047383
attitude	0.0468469
skill	0.0464894
citizenship	0.046421
"merger talk"	0.0459623
credibility	0.0459278
"social system"	0.0458736
inclination	0.0456069
stature	0.0455598
friendship	0.045457
backing	0.0453332
participation	0.0449214
dealings	0.0449165
expertise	0.0448062
integrity	0.0447816
familiarity	0.044706
representation	0.044369
discipline	0.0442571
aspiration	0.044017
occupation	0.0440162
tie-up	0.0436808
denomination	0.0435247
prejudice	0.0435173
ambition	0.0434023
custom	0.0433207
behavior	0.0433202
affinity	0.0432961
rivalry	0.0432406
linkage	0.0429545
registration	0.0429322
animosity	0.042808
arrangement	0.0427806
unity	0.0426417
principle	0.0425461
"medical history"	0.0425457
legitimacy	0.042479
pedigree	0.0423707
"ethnic group"	0.0423347
competence	0.0423151
interaction	0.0422574
makeup	0.0422552
sponsorship	0.0419617
collusion	0.041927
reputation	0.0418841
commonality	0.0417335
acumen	0.0417281
favoritism	0.041655
diversity	0.0416458
understanding	0.0415674
temperament	0.041468
"last name"	0.0414166
intelligence	0.0413695
upbringing	0.0413592
obligation	0.0411445
recognition	0.041135
availability	0.0410462
"point of view"	0.0409421
existence	0.0408655
rapport	0.040842
sexuality	0.0407811
tendency	0.0407178
demographics	0.0406801
"love affair"	0.0406297
tenure	0.0406276
profile	0.0406194
capability	0.0405995
realignment	0.0405675
discrimination	0.0405262
prestige	0.0404249
homosexuality	0.0403117
activism	0.040302
"life style"	0.0401667
immunity	0.0400937
))
(affinity (desc 16501.1) (sims
fondness	0.0998378
affection	0.0932076
passion	0.0884655
distaste	0.0880935
reverence	0.0865416
kinship	0.0864718
fascination	0.0835782
rapport	0.0812884
sympathy	0.0808495
empathy	0.075751
predilection	0.0723296
admiration	0.0718627
flair	0.0714748
knack	0.0712556
enthusiasm	0.0712526
dislike	0.0706928
appetite	0.0700645
aversion	0.0692532
ambivalence	0.0682703
aptitude	0.0674928
similarity	0.067484
compassion	0.0672175
penchant	0.0658609
appreciation	0.0631277
resonance	0.0630189
yearning	0.0618525
compulsion	0.0605314
loyalty	0.060361
"soft spot"	0.0602569
inclination	0.0602523
inspiration	0.0601704
animosity	0.0591604
closeness	0.059107
antipathy	0.0590951
familiarity	0.058933
"sense of responsibility"	0.0582706
preference	0.0581922
talent	0.0577582
"staying power"	0.057413
taste	0.0565464
proclivity	0.0563969
desire	0.0562737
commonality	0.0552528
attachment	0.0546821
willingness	0.0540867
synergy	0.0536035
"sense of humor"	0.0535895
devotion	0.0535641
intimacy	0.0534474
sensitivity	0.0531296
feeling	0.0530845
disdain	0.0529925
tolerance	0.0527503
"inferiority complex"	0.0522425
sensibility	0.0521895
camaraderie	0.052023
obsession	0.051769
motivation	0.0517304
rift	0.0513235
propensity	0.0512097
paradox	0.0510749
Bent	0.0510553
patience	0.0504598
friendship	0.050273
Chemistry	0.0502141
vulnerability	0.050194
hesitancy	0.0500512
remorse	0.0498896
trait	0.0495496
humility	0.0493447
significance	0.0489373
disrespect	0.0488991
niche	0.0488979
"love affair"	0.0487105
allegiance	0.0486776
eagerness	0.0483032
dichotomy	0.0482698
predisposition	0.047996
distrust	0.0478463
meaning	0.047685
understanding	0.04767
hunger	0.0476014
unease	0.0475649
gratitude	0.0474591
instinct	0.0472779
resemblance	0.0471463
boldness	0.0470735
metaphor	0.0470416
reluctance	0.0470066
determination	0.0468112
sincerity	0.0466425
"difference of opinion"	0.0466029
relevance	0.0462629
contempt	0.0461215
shyness	0.04599
liking	0.0459153
longing	0.0457887
groundswell	0.0457386
nostalgia	0.0457275
distinction	0.0456281
dedication	0.0455953
weariness	0.0455276
urgency	0.0454328
"drawing power"	0.0453441
"great year"	0.0452735
anguish	0.0452641
apathy	0.0450739
maturity	0.0449618
outpouring	0.0447629
anomaly	0.0447428
sadness	0.0447184
diversity	0.0447173
personality	0.0446817
competence	0.0446515
interaction	0.044607
zeal	0.0445291
pride	0.0444238
originality	0.0443818
courage	0.0443145
curiosity	0.0442711
allure	0.0442593
harmony	0.0442193
vindication	0.0442092
"identity crisis"	0.0441374
disregard	0.0439686
generosity	0.0439246
tendency	0.043868
insight	0.043868
hatred	0.0437885
weakness	0.0437488
warmth	0.0437428
overlap	0.0436042
consistency	0.0433876
awareness	0.0433097
wariness	0.0433094
affiliation	0.0432961
emotion	0.043255
showcase	0.0432319
fealty	0.043195
sorrow	0.0430888
continuity	0.0430537
cohesiveness	0.0430069
ramification	0.0430005
chord	0.0429761
pedigree	0.0429146
heritage	0.042881
wellspring	0.04286
feelings	0.0428066
inhibition	0.0427146
skittishness	0.0427136
flaw	0.0425544
lineage	0.0423675
bitterness	0.0423448
temperament	0.0423016
breadth	0.0422168
habit	0.0420669
impulse	0.0420435
schism	0.0420046
characteristic	0.0419931
solidarity	0.041974
pleasure	0.0419385
irony	0.0418573
trepidation	0.0418011
rivalry	0.0417845
mettle	0.0417775
frailty	0.0417054
contradiction	0.0416137
sucker	0.0415772
impatience	0.0414642
charisma	0.0413452
disillusionment	0.0412767
nervousness	0.041259
linkage	0.0412237
oddity	0.041201
aggressiveness	0.0410442
enmity	0.0409752
disaffection	0.0408759
Distress	0.0407978
craving	0.0407863
infatuation	0.0407437
correlation	0.0407237
leaning	0.0406988
satisfaction	0.0405958
touchstone	0.0404924
"role model"	0.0404478
dissatisfaction	0.0404191
perspective	0.0404018
interdependence	0.04036
identification	0.0403146
"soul mate"	0.0402601
vitality	0.0402471
mistrust	0.0402358
cohesion	0.0402353
foresight	0.040151
self-awareness	0.0401021
Creativity	0.040102
divergence	0.0400567
coincidence	0.0400498
spontaneity	0.0400084
))
(affirmation (desc 11488.6) (sims
reaffirmation	0.135047
validation	0.0990886
repudiation	0.0959288
acknowledgment	0.0954808
reiteration	0.0884323
acknowledgement	0.0877899
vindication	0.0877172
recognition	0.0817335
confirmation	0.0811074
indication	0.0791661
proof	0.0782524
expression	0.0765143
indicative	0.0743486
reflection	0.074315
acceptance	0.0733034
reminder	0.0731379
symbol	0.0730714
embodiment	0.0729846
rejection	0.0721523
understanding	0.0715196
manifestation	0.0702092
endorsement	0.0695683
appreciation	0.0678328
encouragement	0.0662233
"turning point"	0.0648174
redefinition	0.0647084
rebuke	0.0637195
refutation	0.0626493
betrayal	0.062599
summation	0.0620112
Declaration	0.0611949
mockery	0.060857
triumph	0.0605173
no-brainer	0.0599609
abdication	0.0598334
illusion	0.059394
reevaluation	0.0587198
reversal	0.058701
realization	0.0586597
clarification	0.0583219
testament	0.0580866
"good example"	0.0580047
glimmer	0.0575993
modicum	0.0572216
usurpation	0.0571735
assurance	0.0570665
reassurance	0.0570086
cornerstone	0.0566699
denial	0.0565588
fulfilment	0.0565119
affront	0.0564226
iota	0.0554433
bedrock	0.0553684
milestone	0.0551705
materialization	0.0551242
notion	0.0550419
fulfillment	0.0547364
diminution	0.0545815
assertion	0.0545172
sustenance	0.0543337
enhancement	0.0539768
semblance	0.0538194
denunciation	0.0536074
exaggeration	0.0533301
reassessment	0.0532546
elaboration	0.0531756
gesture	0.0531164
reconsideration	0.0528291
continuity	0.05277
erosion	0.0525519
predictor	0.0523018
essence	0.0521692
continuation	0.0520823
outgrowth	0.0520254
shred	0.0518729
importance	0.0515634
"foregone conclusion"	0.0514732
fragility	0.051328
corroboration	0.0512931
condemnation	0.0512761
breakthrough	0.0510882
appraisal	0.0510391
foretaste	0.0509783
"first step"	0.0509578
travesty	0.0506403
virtue	0.0505135
certainty	0.050358
safeguarding	0.0501416
commonality	0.0501054
glimpse	0.050073
barometer	0.0500249
blessing	0.0500077
"birthday present"	0.0498658
deferral	0.0498329
determinant	0.0495968
arbiter	0.0494284
strengthening	0.0492442
observance	0.0491963
accomplishment	0.0491748
catharsis	0.0490865
awareness	0.04906
compliment	0.0488871
reprimand	0.0486824
negation	0.0486364
abandonment	0.0484175
reinforcement	0.0484064
renunciation	0.0483589
dichotomy	0.048346
cross-fertilization	0.0483447
aberration	0.0482968
culmination	0.0481734
critique	0.0480621
articulation	0.0479189
turnabout	0.047885
preservation	0.0477452
omen	0.0475008
wellspring	0.0474936
restoration	0.0474041
lesson	0.0472853
restatement	0.0472236
inkling	0.0471868
blunder	0.047099
justification	0.047092
explanation	0.0469998
broadening	0.0469451
accolade	0.0468044
unanimity	0.0466482
"whole lot"	0.0465567
enjoyment	0.0465343
determination	0.0465056
disapproval	0.046479
Guardian	0.0464307
renewal	0.0463073
lessening	0.0462685
meaning	0.0461406
symbolism	0.0460818
epiphany	0.0460424
termination	0.0460104
culpa	0.0457632
penance	0.0457409
coincidence	0.0455676
misinterpretation	0.0454542
fundamental	0.0454069
assessment	0.0453004
capitulation	0.0451962
vestige	0.045142
breadth	0.0451195
legitimacy	0.0450619
Intensification	0.0450398
intimacy	0.0450307
portent	0.0449904
"policy change"	0.0449689
"test case"	0.0448138
vitality	0.0447876
definition	0.0447175
conclusion	0.0445321
validity	0.0445151
evaluation	0.0444842
representation	0.0444297
indignity	0.0443622
pinnacle	0.044236
outpouring	0.0441804
esteem	0.0441736
motivation	0.0441572
rediscovery	0.0440967
context	0.044028
"piece of work"	0.0439812
conception	0.0438987
rebirth	0.043857
consolidation	0.043766
fostering	0.0436814
miracle	0.0436768
"fait accompli"	0.0436579
jolt	0.0436168
interpretation	0.0436155
feedback	0.0435883
humility	0.0435021
indicator	0.0433705
relaxation	0.0433325
misperception	0.0432033
consolation	0.0431327
undermining	0.0431022
"practical application"	0.0429249
dissection	0.0429049
absurdity	0.0429047
evocation	0.0428439
acceleration	0.0427638
bulwark	0.0426537
undertaking	0.0424128
inspiration	0.0423786
perversion	0.0423688
"success story"	0.0422699
flicker	0.0422131
epoch	0.0421984
crosscurrent	0.0421936
necessity	0.0421178
adoption	0.0419768
powerlessness	0.0419644
"sum total"	0.0417751
paradox	0.0416844
))
(Affirmed (desc 3284.75) (sims
"Seattle Slew"	0.220351
"Real Quiet"	0.112591
charismatic	0.0940187
"Winning Colors"	0.0891918
"Touch Gold"	0.0855535
"Silver Charm"	0.0849727
Alydar	0.0825109
"Cash Run"	0.0817711
"Thunder Gulch"	0.0778799
"Answer Lively"	0.0764689
"Desert Hero"	0.0755449
"Fusaichi Pegasus"	0.0740351
"Lemon Drop Kid"	0.0738832
"Beautiful Pleasure"	0.0733755
"Awesome Again"	0.0702431
"Skip Away"	0.0700089
"Free House"	0.0685671
Anees	0.065799
"Prime Timber"	0.0627915
"Victory Gallop"	0.0617341
Menifee	0.0610929
Malek	0.0608917
"Cat Thief"	0.0605391
Flanders	0.0596867
"Santa Anita Derby"	0.0596119
"Favorite Trick"	0.0592541
grindstone	0.0589826
"Noureddine Morceli"	0.0586345
Valhol	0.057905
"Red Bullet"	0.0578933
Silverbulletday	0.0571415
"Koji Ito"	0.0561241
"Worldly Manner"	0.0560593
"Kimberlite Pipe"	0.0552953
non-factor	0.0546076
"High Yield"	0.0542946
"Nancy Lopez"	0.0531923
Behrens	0.0521167
Adonis	0.0515763
"Jeff Gordon"	0.0502085
Daylami	0.0501112
racehorse	0.050058
Kelso	0.0495516
"Annika Sorenstam"	0.0492755
"River Keen"	0.048211
"Miguel Indurain"	0.0481732
"Banshee Breeze"	0.0478566
Wondertross	0.0478058
"Chris Evert"	0.0455351
"Richard Hatch"	0.0453162
"Brooklyn Dodgers"	0.0452002
"Sidney Poitier"	0.0450755
"Eddie Cheever"	0.0448909
"Tom Watson"	0.0438909
Dench	0.0435733
Hentgen	0.0434905
vicar	0.0434357
Preakness	0.0432774
Artax	0.0429592
"Regina Jacobs"	0.0428004
stallion	0.042712
"Johnny Miller"	0.0421248
"Doak Walker"	0.0415889
"Stephen Got Even"	0.0415063
Longo	0.0413982
"Al Unser Jr."	0.0412553
imp	0.0410104
heatwave	0.0409224
"Cup Classic"	0.0408536
"John McEnroe"	0.0407686
"Ecton Park"	0.0401732
"D. Wayne Lukas"	0.0401511
))
(Affleck (desc 2674.3) (sims
Paltrow	0.143278
"Ben Affleck"	0.128482
Paxton	0.120676
Tomlin	0.116542
DiCaprio	0.115954
"Jude Law"	0.111767
Kidman	0.109234
Damon	0.0977807
Sheedy	0.0943908
"Drew Barrymore"	0.0938871
Gooding	0.0937075
Pfeiffer	0.0932584
"Edward Norton"	0.0926345
Traylor	0.0903429
Barrymore	0.0887954
Shatner	0.0877222
Mohr	0.0868083
Branagh	0.0853003
GERE	0.084969
Brosnan	0.0835013
Baugh	0.0823757
Downey	0.0791061
Clooney	0.0765886
Grammer	0.0755615
Winkler	0.0754614
Matthau	0.0749904
Swenson	0.0749326
Heche	0.074794
"Matt Damon"	0.0744576
Cleese	0.07443
McKellen	0.0743305
"Kevin Costner"	0.0742389
Ryder	0.0737533
Solondz	0.0725157
Fiennes	0.0708984
Darnell	0.0696369
Groening	0.0685611
Schwarzenegger	0.068019
Edelstein	0.0668561
Stillman	0.0659347
Griffith	0.0655353
"Gwyneth Paltrow"	0.0654393
"Jason Alexander"	0.0647619
Dench	0.064479
Blume	0.0641957
Shandling	0.0639557
Maguire	0.0638924
"Will Smith"	0.0637481
Hank	0.0636506
Costner	0.0636366
Streep	0.063555
Caray	0.0634888
McGregor	0.0634737
"Sigourney Weaver"	0.0627807
Wagoner	0.0626708
Margolis	0.0625581
Diggs	0.0620192
Rongen	0.0619206
Soderbergh	0.0615782
Summitt	0.0615348
"Dan Aykroyd"	0.0613532
Felton	0.0612547
Epps	0.0612525
Winn	0.0612456
Danner	0.0606272
Dennehy	0.0598451
Braswell	0.0596152
Hirst	0.0595781
Yoakam	0.0594181
Hamlin	0.0593733
Solich	0.0592197
Spacey	0.0591468
"Michael Douglas"	0.059043
Ivey	0.0589151
Pacino	0.0589044
Carrey	0.0586034
"Wesley Snipes"	0.0585907
"Tom Sizemore"	0.058526
Thurman	0.0584703
Hartman	0.0581527
"Christopher Reeve"	0.0580762
Jacobsen	0.0580109
Travolta	0.0579014
Sizemore	0.0578508
derrick	0.0577638
Benedetti	0.0573663
Cusack	0.057307
Zamora	0.0571398
Hobson	0.0570828
Henley	0.0569288
Jolie	0.0568794
"Rob Lowe"	0.05669
Applegate	0.056496
Dion	0.05648
Hepburn	0.0563236
Bening	0.0562873
"Jimmy Smits"	0.0560971
Rowan	0.0559873
Kanell	0.0558648
Ulrich	0.055847
Monahan	0.0558233
DiCarlo	0.0557963
bullock	0.0557847
Corey	0.0557164
Hartwig	0.0556133
DeGeneres	0.0556127
"Demi Moore"	0.0553595
Berle	0.0552754
Crocker	0.0552516
Schrempp	0.0552272
Theron	0.0551443
McDonnell	0.0550393
"Oliver Platt"	0.054901
Schroder	0.0546998
Crowe	0.0544912
Heyward	0.054436
"Jimmy Stewart"	0.0544281
beamer	0.0544129
REEVE	0.0543829
BANDERAS	0.0543484
ROMNEY	0.0542884
DeVito	0.0542587
Duchovny	0.0540187
Ebbers	0.0538874
"Tom Hanks"	0.0538592
"Nicole Kidman"	0.0538588
Chrissie	0.0537868
Pearce	0.0535859
Halberstam	0.0535728
Keitel	0.0533902
Vogel	0.0531069
Halloran	0.0530464
Krzyzewski	0.0529038
Willis	0.0528981
Ainge	0.0528671
Parrott	0.0526315
Keaton	0.0525418
Romar	0.0523869
Flanagan	0.0523167
Whitsitt	0.0519996
Lafleur	0.0518991
Lipponen	0.0516806
Dooley	0.0516158
"Matthew McConaughey"	0.0513304
Broderick	0.051272
Fuente	0.0511636
"Matthew Broderick"	0.0509068
swank	0.0509014
Lindbergh	0.050863
Zacarias	0.0508589
"Keanu Reeves"	0.0508135
Hawke	0.0508051
Faulkner	0.0506897
Forrest	0.0506442
Chappell	0.0505781
Eastwood	0.0505162
Daft	0.0503905
Cremins	0.0503383
Braugher	0.0501333
Guthridge	0.0500998
Ono	0.0497099
Harr	0.0496699
Alexie	0.0495773
Laudor	0.0495638
Nolte	0.0493915
"Laura Bush"	0.0493894
Andreychuk	0.0493197
Reiner	0.0492449
Paulina	0.0491282
Wexler	0.0485677
Leigh	0.0484799
"John Cleese"	0.0483774
"Richard Gere"	0.0482753
Heston	0.0481814
Hadley	0.0480664
Gorter	0.0480551
"Mary Tyler Moore"	0.0480398
Kimble	0.0479257
Hefner	0.0478966
Marinovich	0.0477478
Gleason	0.0477438
"Minnie Driver"	0.0477299
Flynn	0.0476566
Bratton	0.0475352
Tsvangirai	0.047452
Redford	0.0473681
Aventajado	0.0473601
Benigni	0.0472783
Albrecht	0.0472513
Goossen	0.0471807
Gogel	0.0471756
Quigley	0.0471655
Kimmel	0.0471276
Betts	0.0471269
Kaufman	0.0471184
Pryor	0.0470721
"Dave McGinnis"	0.0470379
Szczerbiak	0.0469732
Appleby	0.0469502
Hoch	0.0468571
))
(affliction (desc 11274.2) (sims
malady	0.112812
ailment	0.105398
"genetic disease"	0.0900941
disorder	0.0881856
"eye disease"	0.0877038
"Thin Red Line"	0.0849128
"American Psycho"	0.084249
"Little Voice"	0.0841163
"neurological disorder"	0.0832786
"heart condition"	0.0822618
"health problem"	0.0814898
ROUNDERS	0.081386
epilepsy	0.0812794
illness	0.0811207
"Life Is Beautiful"	0.0802816
arthritis	0.0794017
"Saving Private Ryan"	0.0790065
"skin disease"	0.0785472
abnormality	0.0775896
disease	0.0770046
dementia	0.0766866
"Cider House Rules"	0.0755684
"Eyes Wide Shut"	0.0754109
"neurological disease"	0.0754
"Simple Plan"	0.0749101
"common cold"	0.0747588
"Truman Show"	0.0740681
migraine	0.0735364
"Parkinson's disease"	0.0724707
"Fight Club"	0.0722996
deformity	0.071726
defect	0.0716918
"Central Station"	0.0714412
symptom	0.0703755
"kidney disease"	0.0701609
trauma	0.0700515
ill	0.0700042
"liver disease"	0.0693533
"respiratory disease"	0.0687206
impairment	0.0683731
syndrome	0.0682305
infection	0.0680952
"mental disorder"	0.0678449
anemia	0.0678372
"back pain"	0.0674434
malformation	0.0673585
"Civil Action"	0.0661869
"Smoke Signals"	0.0649576
schizophrenia	0.0647686
Alzheimer	0.0642013
Elizabeth	0.0638995
Ronin	0.0635123
allergy	0.0633948
"Cruel Intentions"	0.062928
Osteoporosis	0.0620801
"L.A Confidential"	0.0611445
frailty	0.061039
disability	0.0605133
hemophilia	0.0605111
Rushmore	0.060352
"High Art"	0.0600057
"writer's block"	0.0599078
"multiple sclerosis"	0.0591648
"Get Real"	0.0589555
"heart disease"	0.0589428
Antz	0.0589159
"Good Will Hunting"	0.0588419
insomnia	0.0586828
"infectious disease"	0.0586283
"American Beauty"	0.0585323
Addiction	0.0583728
"rheumatoid arthritis"	0.0582718
"mental illness"	0.0581604
sickness	0.0580846
fever	0.0580481
epidemic	0.0574043
"Meet Joe Black"	0.0570929
blindness	0.0568459
"English Patient"	0.056793
cataract	0.0567216
Depression	0.0566573
leukemia	0.0566117
hardship	0.0565288
headache	0.0561091
osteoarthritis	0.0558982
als	0.0558579
complication	0.0557939
malignancy	0.0557624
diarrhea	0.0557131
"Velvet Goldmine"	0.0554837
inflammation	0.05548
"Blair Witch Project"	0.0552254
Alcoholism	0.0552038
"love story"	0.0551559
"Erin Brockovich"	0.0551494
"side effect"	0.0550624
indignity	0.0549293
"high blood pressure"	0.0547453
asthma	0.0547097
deficiency	0.0544367
Magnolia	0.0543579
pain	0.0533145
trait	0.052584
misery	0.0523658
Bulworth	0.0523384
"stage fright"	0.0520614
"brain tumor"	0.0519482
"high fidelity"	0.0519233
calamity	0.0518188
"personality disorder"	0.0517626
"heart failure"	0.0517344
bronchitis	0.0517272
"Patch Adams"	0.0517001
CJD	0.0515327
"cardiovascular disease"	0.0513559
"Ideal Husband"	0.0512848
"anxiety disorder"	0.0512479
predicament	0.0512477
hunger	0.0511688
malfunction	0.0511548
diabetes	0.0511278
Armageddon	0.0510554
hypertension	0.0509754
Hilary	0.0509471
"inferiority complex"	0.0509419
Catch-@@	0.0506514
flaw	0.0506325
phenomena	0.0505603
Obesity	0.0505445
inequity	0.0505421
impotence	0.0501666
Lolita	0.0501607
"Boogie Nights"	0.0501541
tuberculosis	0.0498289
"congestive heart failure"	0.0496094
"Thomas Crown Affair"	0.0494898
virus	0.0494626
malnutrition	0.0494166
shortcoming	0.0493325
woe	0.049282
hepatitis	0.0492213
Shakespeare	0.0491324
"cystic fibrosis"	0.0490724
paralysis	0.0490337
"memory loss"	0.0490175
"colon cancer"	0.0489338
irritation	0.0489301
tragedy	0.0489252
deprivation	0.04879
lymphoma	0.048728
loneliness	0.0485834
misstep	0.0485003
"Straight Story"	0.0484503
pneumonia	0.0483078
anna	0.0482709
hiccup	0.0482546
scourge	0.0482506
autism	0.0480545
suffering	0.0476869
infirmity	0.0475157
hernia	0.0473727
ache	0.0473512
dysfunction	0.0473257
Parkinson's	0.047183
"Runaway Bride"	0.0471549
torment	0.0471475
"Creutzfeldt-Jakob Disease"	0.0470912
"heroin addiction"	0.0469884
"Being John Malkovich"	0.046958
melanoma	0.0468502
letdown	0.0468298
thriller	0.0467574
fatigue	0.0466313
mutation	0.0465884
"skin cancer"	0.0464974
myopia	0.0464523
anomaly	0.0463898
Pleasantville	0.0463495
STDs	0.0463324
fracture	0.0463318
aneurysm	0.0463087
lapse	0.0461812
"bipolar disorder"	0.0460931
prejudice	0.0460385
"Nick Nolte"	0.0460166
"sliding door"	0.0460161
flu	0.0459891
EdTV	0.0459703
Othello	0.0458826
deterioration	0.045861
hangover	0.0457722
"asthma attack"	0.0456606
avocation	0.0456032
gaffe	0.0455197
"Lyme disease"	0.0454039
swelling	0.0453296
"cerebral palsy"	0.0452805
"blood clot"	0.0452329
side-effects	0.0451686
"True Thing"	0.0449709
))
(affluence (desc 7338.52) (sims
prosperity	0.108853
wealth	0.091937
tranquillity	0.0853055
contentment	0.0793603
"standard of living"	0.0767824
permissiveness	0.0755043
sophistication	0.0727183
tranquility	0.0726528
complacency	0.0713516
well-being	0.0707929
enlightenment	0.0695447
inequality	0.0662553
cynicism	0.0655957
joblessness	0.0647895
polarization	0.0643445
profitability	0.0639707
happiness	0.0639112
insecurity	0.0625191
empowerment	0.0618706
narcissism	0.0618344
unemployment	0.0615345
urbanization	0.0615061
"investor confidence"	0.0601402
dynamism	0.0600152
lawlessness	0.0594081
self-sufficiency	0.0591366
anxiety	0.0587138
militarization	0.0586726
mediocrity	0.0577356
materialism	0.0576931
normality	0.0575622
interdependence	0.0571562
unpopularity	0.056892
clout	0.0568129
marginalization	0.056704
optimism	0.0558904
acrimony	0.0556988
stagnation	0.0556527
"technological revolution"	0.0550328
hipness	0.0550002
underdevelopment	0.054146
pluralism	0.0540296
excellence	0.0537848
"life expectancy"	0.0537811
boldness	0.0535981
serenity	0.0535237
scarcity	0.0534613
maturity	0.0533945
vulnerability	0.0531442
backwardness	0.053137
commercialism	0.0530626
consumerism	0.0530332
"consumer demand"	0.0529597
elegance	0.0522371
respectability	0.0521618
impoverishment	0.051967
Capitalism	0.0518326
ferment	0.051772
affordability	0.0517701
illiteracy	0.0516804
indebtedness	0.0516334
diversity	0.0513983
DECADENCE	0.0512917
restlessness	0.0512671
"bull market"	0.0511659
cross-fertilization	0.0511529
normalcy	0.0511431
instability	0.0511261
certainty	0.0510833
vitality	0.0510277
deprivation	0.0510187
upheaval	0.0509466
statesmanship	0.0509068
disillusionment	0.0509016
idealism	0.0508487
awareness	0.0508189
"good fortune"	0.0508147
uneasiness	0.0507674
assertiveness	0.0507479
self-confidence	0.0506536
specialization	0.0506079
greatness	0.0505749
"rapid growth"	0.0504731
mobility	0.0501719
self-esteem	0.0501488
disquiet	0.0499422
stature	0.0498442
apathy	0.0498286
"crime rate"	0.0497607
productivity	0.0496778
powerlessness	0.0495627
"old age"	0.0493763
"good health"	0.0493281
revitalization	0.0489468
discontent	0.0489309
harmony	0.0489122
competitiveness	0.0487523
laxity	0.0487283
weariness	0.0487247
relaxation	0.0486571
"borrowing cost"	0.0485968
"crime wave"	0.0485609
"scientific knowledge"	0.0483145
prominence	0.0482156
unease	0.04798
distrust	0.0475284
"price pressure"	0.0474172
isolation	0.0473583
inactivity	0.0473189
literacy	0.0473181
upbringing	0.0472561
familiarity	0.0472549
"quality of life"	0.0471978
hunger	0.0471937
demographics	0.0468522
rebirth	0.0468179
desperation	0.0467836
rejuvenation	0.0467086
advancement	0.0466863
Openness	0.0466122
caseloads	0.0466057
hysteria	0.0464781
renaissance	0.0460838
lifestyle	0.046082
lifestyles	0.0460728
conservatism	0.0460378
counterculture	0.0458873
tumult	0.0458808
longevity	0.0458028
malaise	0.0456196
liberalism	0.0456096
pessimism	0.0456052
"mortgage rate"	0.0455304
radicalism	0.0452011
greed	0.0450813
deregulation	0.0450539
closeness	0.0450155
"cost of living"	0.0449826
"life style"	0.0448637
angst	0.0448015
Creativity	0.0446243
futility	0.0445617
democratization	0.0445244
discord	0.0444957
transformation	0.044413
maturation	0.0444068
cohesion	0.0443882
pervasiveness	0.044284
anti-Semitism	0.0440513
attainment	0.043962
abundance	0.0439572
extravagance	0.0439413
competence	0.0438501
fragmentation	0.0438402
disaffection	0.043694
industrialization	0.0436792
rationality	0.0436369
inexperience	0.0436261
livelihood	0.0436145
intolerance	0.0435836
sanity	0.0435777
moderation	0.0434171
leisure	0.043384
"economic condition"	0.0432834
homeownership	0.0432623
commercialization	0.0432326
"peace of mind"	0.0431644
civilization	0.0430735
despair	0.0430661
coherence	0.0429778
hardship	0.0429332
prestige	0.0429172
purity	0.042893
anarchy	0.0428906
fragility	0.0426812
dissatisfaction	0.0426098
unrest	0.0426063
volatility	0.042593
sensibility	0.0425847
humility	0.0425277
dislocation	0.0423827
"elephant population"	0.042358
alienation	0.0422722
disunity	0.0422623
"good will"	0.0421832
vigor	0.0421643
modernity	0.0420963
ennui	0.0420842
mechanization	0.0420306
mortality	0.0419339
"feminist movement"	0.0419283
"ill health"	0.041626
unhappiness	0.0415766
self-satisfaction	0.0415747
dominance	0.0413299
ignorance	0.0412714
isolationism	0.0412583
arousal	0.0412408
"social class"	0.0412059
squalor	0.0411386
))
(affluent (desc 3982.42) (sims
wealthy	0.122198
"middle class"	0.111802
"AIDS patient"	0.0934847
illiterate	0.0872049
"home buyer"	0.0836102
Hispanic	0.0802576
timid	0.0793933
elderly	0.0764426
renter	0.075927
low-income	0.0747267
learner	0.0744457
proactive	0.0744381
fastest-growing	0.0730078
"business traveler"	0.0723211
transient	0.0720609
Latino	0.0717484
grown-up	0.0714865
"working class"	0.0710406
uninsured	0.0700207
homeowner	0.0692271
"senior citizen"	0.0685831
picky	0.0682817
literate	0.0682596
Anglos	0.0670433
"Asian Americans"	0.0664123
African-American	0.0663194
homebuyers	0.0662433
adept	0.0661815
aged	0.0637155
Beijingers	0.0634607
"African Americans"	0.0629736
Asian-Americans	0.0624153
meritocracy	0.0620702
"important person"	0.0620219
"married couple"	0.0610633
"foster child"	0.0606577
multimillionaires	0.060644
college-educated	0.0605571
homeless	0.0604413
"music lover"	0.0602311
"Reagan Democrats"	0.060127
well-trained	0.0598704
orphan	0.0595194
smoker	0.0593238
accepting	0.0590544
multinationals	0.0587812
Taiwanese	0.0585622
urbanites	0.0585117
guesswork	0.05825
"wage earner"	0.0582348
churchgoer	0.0581681
Asian-American	0.0573554
enrollee	0.0572132
job-seekers	0.0571376
"baby boomer"	0.0566929
Tibetans	0.056201
"skilled worker"	0.0559931
cantor	0.055816
gamers	0.0557868
dweller	0.0555664
"lower class"	0.0554841
Singaporean	0.0552699
non-whites	0.0552196
billionaires	0.0551985
"people of color"	0.0551738
telecommuters	0.0551605
market-oriented	0.0551553
hobbyist	0.054792
labor-intensive	0.0547577
disabled	0.0543096
poorest	0.0541437
"paying attention"	0.0539558
"small farmer"	0.053797
westerner	0.0537418
"New Englander"	0.0534621
part-timer	0.0533633
Americanized	0.053341
overweight	0.0529628
bourgeoisie	0.0527023
celebs	0.0526273
BRITTLE	0.0524606
needy	0.0523561
clientele	0.0523402
sufferer	0.0522808
"juvenile delinquent"	0.0522742
pensioner	0.0521976
user-friendly	0.0520912
nobleman	0.0520621
derelict	0.0520245
"upper class"	0.05148
bitch	0.0513122
reactionary	0.050509
"African American"	0.050504
gung-ho	0.0504387
hawkish	0.0502844
antsy	0.0498138
readership	0.0498009
turncoat	0.0497799
"dramatic event"	0.0497105
customization	0.0494774
lawbreaker	0.0494532
"blood donor"	0.0494037
postgraduate	0.049335
mortal	0.0492982
smoother	0.0490434
borrower	0.0490354
"foster parent"	0.0487789
Cambodian	0.048706
dropout	0.0485351
acquirer	0.0482846
"black woman"	0.0480529
preachy	0.047973
monarchist	0.0479469
"Asian American"	0.0478293
"rich man"	0.0477604
pro-choice	0.0476269
"first pitcher"	0.047566
"major leaguer"	0.0474372
drinker	0.0473403
"ball club"	0.0472932
Aborigine	0.0471962
"living together"	0.0470766
incompetent	0.0469874
parolee	0.0468851
Malay	0.0467193
heartening	0.0466477
state-owned	0.0463448
gambler	0.0462662
adolescent	0.0462558
Zambian	0.0461811
lesbian	0.0458664
"business sector"	0.045845
Kuwaiti	0.0458242
novice	0.0458224
sharecropper	0.0456577
"naval officer"	0.0454888
beginner	0.0453337
"hockey player"	0.0453237
Quebecers	0.0452851
achiever	0.0452293
pariah	0.0451566
privy	0.0450578
retiree	0.0450529
migrant	0.0448712
immortal	0.0448559
"second person"	0.0447604
"drug user"	0.0447438
has-been	0.0447038
centenarian	0.0446662
Afghan	0.0446597
"age group"	0.0446293
policyholder	0.0446048
"Export Processing Zones"	0.0444971
reminded	0.0444165
outcast	0.0442408
evangelicals	0.0442286
"married woman"	0.0441041
surfer	0.0439245
Floridian	0.0438519
untouchable	0.043803
"math teacher"	0.043771
feminist	0.043767
"prima donna"	0.0435961
"working man"	0.0435677
"private corporation"	0.0434575
"breathing space"	0.0434478
squire	0.0434364
"interest group"	0.0434224
honeymooner	0.0434088
"white woman"	0.0433578
citizenry	0.0433113
Buddhist	0.0432808
"break of serve"	0.043184
"business interest"	0.0431533
sharper	0.0430804
paraplegic	0.0430782
"risk taker"	0.0430314
rancher	0.0429643
newspaperman	0.042772
Iowan	0.0427286
nowadays	0.0426352
do-gooder	0.0425873
shipbuilder	0.0425795
"take-home pay"	0.0425727
deejays	0.0424331
amputee	0.0424016
wearing	0.0423827
nomad	0.04236
marathoner	0.0423266
"Cendant Corp."	0.0423247
ballclub	0.0422246
"breathing room"	0.0422229
"Russian Jews"	0.0422046
highflier	0.0421931
nonsmoker	0.042016
stronger	0.0419874
"drug addict"	0.0419689
enlistee	0.0418919
atheist	0.041778
consortia	0.0416641
))
(affordability (desc 4101.04) (sims
accessibility	0.13845
reliability	0.121619
availability	0.110482
portability	0.105291
efficiency	0.10309
competitiveness	0.101093
liquidity	0.0994636
timeliness	0.096288
cost-effectiveness	0.0943414
durability	0.0926172
sustainability	0.0924226
effectiveness	0.0912343
cleanliness	0.0909848
"job security"	0.0893923
profitability	0.0887512
convenience	0.0851978
pricing	0.0840946
punctuality	0.0823184
productivity	0.0809935
soundness	0.0806544
"customer service"	0.0798161
viability	0.0776945
retention	0.0741498
efficacy	0.0732486
joblessness	0.0732385
visibility	0.0723621
flexibility	0.0723415
hygiene	0.0717823
friendliness	0.0714779
diversification	0.0709752
"quality of life"	0.0707936
usefulness	0.0705729
oversupply	0.0701663
density	0.0697017
attractiveness	0.0694231
"investment climate"	0.0691558
scarcity	0.0674541
"standard of living"	0.0669622
utilization	0.0666356
functionality	0.0657851
Privacy	0.0648995
usability	0.064545
pervasiveness	0.0644333
mobility	0.0643013
accountability	0.0639398
sanitation	0.0636564
adequacy	0.0635872
versatility	0.0633089
"mortgage rate"	0.0632293
preparedness	0.0632206
competency	0.0631829
freshness	0.0631243
Openness	0.0628525
breadth	0.0628227
dependability	0.0626311
transparency	0.0625958
predictability	0.0619079
"labor cost"	0.0615905
potency	0.0615611
solvency	0.0613871
acceptability	0.0608549
longevity	0.0607273
marketability	0.0605962
urbanization	0.060369
Tankan	0.0602208
"selling price"	0.0601625
fairness	0.0601286
"growth prospect"	0.059585
nutrition	0.0590783
practicality	0.0589946
salinity	0.0588443
relevance	0.058798
"investor confidence"	0.0587761
"water supply"	0.0587563
worthiness	0.058698
prevalence	0.0585318
purity	0.0585253
"tax collection"	0.0575959
trustworthiness	0.0575376
readiness	0.0573895
accuracy	0.0573717
"production cost"	0.0572024
interdependence	0.0570603
"public security"	0.0569294
interactivity	0.0564767
"internal control"	0.0560175
responsiveness	0.0559419
dynamism	0.0557173
competence	0.0554149
Proliferation	0.0553458
homelessness	0.0550104
feasibility	0.0547496
PSE	0.0540696
delinquency	0.0539733
anonymity	0.0536345
simplicity	0.0535924
suitability	0.0535519
"quality control"	0.0534434
morale	0.0533963
"athletic facility"	0.0533956
uniqueness	0.0532584
toxicity	0.0532541
congestion	0.0529393
fertility	0.0528806
inequality	0.0527216
morbidity	0.0526844
continuity	0.0524554
usage	0.0520545
deforestation	0.051993
affluence	0.0517701
"voter turnout"	0.0513606
"trade balance"	0.0511383
likelihood	0.0510202
connectivity	0.0505667
democratization	0.0505543
"gas price"	0.0505265
well-being	0.0504374
"tax income"	0.050364
"credit system"	0.0501921
informality	0.0501531
popularization	0.0500984
enrolment	0.0500297
backwardness	0.0498735
penetration	0.0497102
STI	0.0496881
upkeep	0.0496442
"cost structure"	0.0496116
horsepower	0.0494584
governance	0.049456
"environmental condition"	0.0490276
endurance	0.0489748
proficiency	0.0489737
computerization	0.0489459
enjoyment	0.0489086
fitness	0.0486017
"balance of payments"	0.0485845
empowerment	0.0485688
stabilization	0.048515
"bank rate"	0.0484446
self-confidence	0.0482685
diffusion	0.0482662
"non-performing loans"	0.0480346
amenity	0.0479078
spontaneity	0.0477857
overvaluation	0.0476118
maturity	0.0476084
"market order"	0.0475712
commercialization	0.0475379
fragility	0.0475067
"air pollution"	0.0474689
scheduling	0.0474286
dearth	0.0473811
overuse	0.0472829
caseloads	0.0472343
stamina	0.0471761
displacement	0.0470949
"mass transit"	0.0470944
"transportation system"	0.0470656
"earnings growth"	0.0470309
sophistication	0.04702
"birth rate"	0.0469837
"elephant population"	0.0469468
outreach	0.0469067
standardization	0.046889
viewership	0.0468469
"moral hazard"	0.046701
wholesomeness	0.0465689
companionship	0.046494
"price competition"	0.0464042
"safety standard"	0.046381
illiteracy	0.0463496
"profit margin"	0.046338
uptake	0.0462445
literacy	0.0461897
"crime rate"	0.0461432
livelihood	0.0460035
authenticity	0.0456856
cohesion	0.045677
potentiality	0.0456123
logistics	0.0455339
abundance	0.0454446
"mental health"	0.0453739
"peace of mind"	0.0452241
resale	0.0451138
"rapid growth"	0.0450864
mileage	0.0450666
newness	0.0448879
legality	0.0448365
drainage	0.044804
indebtedness	0.0446332
inflow	0.0445849
socialization	0.0445507
volatility	0.0444231
brevity	0.0443961
validity	0.0443822
"telecommunication system"	0.0442973
deregulation	0.044172
degradation	0.0441573
intake	0.0441452
healthcare	0.0439767
))
(afforestation (desc 12133.3) (sims
reforestation	0.181104
reclamation	0.167157
conservation	0.163166
alleviation	0.148171
"flood control"	0.14769
"road construction"	0.147606
irrigation	0.147069
"family planning"	0.146369
cultivation	0.141167
forestry	0.137602
industrialization	0.134237
farming	0.132747
utilization	0.131318
eradication	0.130436
resettlement	0.12968
urbanization	0.127511
planting	0.126941
conservancy	0.126203
agriculture	0.125866
breeding	0.125491
modernization	0.124368
"soil conservation"	0.124223
preservation	0.12341
"population control"	0.120542
"animal husbandry"	0.119927
construction	0.117892
reconstruction	0.11696
renovation	0.114704
prevention	0.11449
development	0.110872
protection	0.110381
"land reform"	0.10963
sanitation	0.108327
electrification	0.107867
rehabilitation	0.10779
infrastructure	0.107175
mining	0.105612
"soil erosion"	0.105606
desertification	0.105603
exploration	0.104595
logging	0.103253
hydropower	0.102773
immunization	0.101416
cleanup	0.100338
"city planning"	0.0988245
"land development"	0.0978795
education	0.0963845
opening-up	0.0962699
"cultivated land"	0.0955048
restoration	0.0954236
transportation	0.0954057
readjustment	0.0951857
"water supply"	0.0940687
mechanization	0.0937225
ecology	0.0935416
beautification	0.0933082
"urban planning"	0.093241
processing	0.0927361
maintenance	0.0926492
"garbage disposal"	0.0925596
tourism	0.0922972
exploitation	0.0916976
popularization	0.0913755
upgrading	0.0912402
improvement	0.0911092
undertaking	0.0898342
Promotion	0.0886345
"water project"	0.0884743
"public works"	0.0880018
computerization	0.0878377
"social welfare"	0.0874778
husbandry	0.0866775
procurement	0.0859843
telecommunication	0.0855047
redevelopment	0.0850064
"vocational education"	0.0847273
homeownership	0.0846778
biodiversity	0.0844358
excavation	0.0842974
desalination	0.0839716
"high technology"	0.0836849
relocation	0.0831668
rectification	0.0824909
rebuilding	0.0818869
"tax collection"	0.0815185
fumigation	0.0813739
localization	0.0812104
recycling	0.0810422
"water pollution"	0.0808694
"education program"	0.0808324
Housing	0.0806091
diversification	0.0802936
management	0.080155
literacy	0.0800942
expansion	0.0800056
environment	0.0794841
commercialization	0.0794277
fishery	0.0792428
"adult education"	0.0792397
decentralization	0.0787473
"public utility"	0.0785438
innovation	0.0785099
vegetation	0.0783019
"higher education"	0.0781748
Privatization	0.0780391
"commercial activity"	0.0775762
demobilization	0.0769402
sewerage	0.076704
drilling	0.076679
aviation	0.0762837
preparedness	0.0757892
reemployment	0.0757205
grassland	0.0756873
efficiency	0.0753678
pollution	0.0752525
governance	0.0748364
"health care"	0.0748115
"development strategy"	0.0747438
aquaculture	0.0746556
deforestation	0.0742389
recruitment	0.0741811
"rehabilitation program"	0.0741268
remediation	0.0741106
transformation	0.074073
"mass transit"	0.073635
advancement	0.0735246
"chemical industry"	0.0732499
planning	0.0730465
"Gorges Dam"	0.0730025
"power grid"	0.072879
mobilization	0.0728455
vaccination	0.0728223
cleaning	0.072382
stabilization	0.0723635
"health service"	0.0723177
integration	0.0722773
"housing development"	0.0722652
Implementation	0.0716664
employment	0.0715433
"transportation system"	0.0714112
supervision	0.0711999
empowerment	0.0710808
drainage	0.0709238
navigation	0.0705673
disposal	0.0704921
"quality control"	0.0704571
surveillance	0.0703571
"Gorges Project"	0.0700323
productivity	0.0699516
standardization	0.0698582
"social service"	0.0697098
nutrition	0.0696579
farmland	0.0694371
manufacturing	0.0691797
restructuring	0.0691212
reorganization	0.0688331
fertilization	0.0686821
Liberalization	0.0686532
detection	0.0685081
macro-control	0.0684365
"law enforcement"	0.0680831
"public security"	0.0677892
manoeuvre	0.067685
"natural resource"	0.0675155
taxation	0.0674995
grazing	0.0674414
"stock buyback"	0.0673732
science	0.0672505
"information technology"	0.0671612
landscaping	0.0671052
forest	0.0669136
revitalization	0.0667544
extraction	0.0666861
democratization	0.0664701
distribution	0.0663189
resource	0.0661223
horticulture	0.0659979
reduction	0.065272
enforcement	0.0650645
communication	0.0646972
bioengineering	0.0644797
"mineral resource"	0.0643602
"R&AMP;D"	0.0643285
"cost cutting"	0.0642713
dissemination	0.0641052
consumption	0.0639778
engineering	0.0639288
"power plant"	0.0637772
"civil engineering"	0.063673
awareness	0.0633981
confidence-building	0.0631173
consolidation	0.0630995
shipping	0.0629386
repatriation	0.0628407
wetlands	0.0627423
financing	0.0625453
deregulation	0.0618317
Wetland	0.0617445
MSC	0.0617158
"social assistance"	0.0616145
))
(affront (desc 10817.9) (sims
insult	0.176529
provocation	0.116369
contrary	0.0939147
disservice	0.0912161
disgrace	0.0884838
betrayal	0.079875
heretic	0.0783802
breach	0.077211
testament	0.0734221
aberration	0.0726577
anathema	0.0721987
violation	0.0718588
infringement	0.0716938
"waste of money"	0.0716171
slight	0.0712381
ploy	0.0694113
traitor	0.0686604
embarrassment	0.0674991
injustice	0.0653923
setback	0.0648985
"lip service"	0.064665
compliment	0.0633122
Nuisance	0.0632354
impediment	0.0625906
snub	0.0621952
"waste of time"	0.0618321
obstacle	0.0609829
sop	0.0601525
manifestation	0.0592722
indication	0.0590139
abomination	0.0588946
sham	0.0585793
encroachment	0.0580955
exaggeration	0.0578931
devotion	0.0566393
affirmation	0.0564226
interference	0.0562565
trampling	0.0561547
anachronism	0.0560136
humiliation	0.0558775
vindication	0.055698
superior	0.0554849
repudiation	0.0553374
indicative	0.055134
apology	0.0547981
omen	0.054705
rebuke	0.0542456
"foregone conclusion"	0.0541328
deference	0.0538251
hindrance	0.0533217
overreaction	0.0532407
monument	0.0522728
intrusion	0.0521884
"last resort"	0.0521672
"invasion of privacy"	0.0521165
"turning point"	0.051683
reminder	0.0516306
antidote	0.0514643
travesty	0.0513965
menace	0.0512618
"personal appeal"	0.0511643
boon	0.0510794
homage	0.0509986
obeisance	0.0508047
disloyalty	0.0507763
abdication	0.0506198
sin	0.0505466
throwback	0.0500075
blessing	0.0496269
prerequisite	0.0495641
giveaway	0.0492737
distortion	0.049083
deterrent	0.0489781
copout	0.0489143
aggression	0.0481295
capitulation	0.048097
proof	0.0480892
heresy	0.0477021
anticlimax	0.0473864
nonstarter	0.0472948
sellout	0.0472716
blunder	0.0472518
no-brainer	0.0464199
committment	0.0458905
overstatement	0.0458005
coincidence	0.04547
distraction	0.0454515
fluke	0.0453805
understatement	0.0453579
prelude	0.0451808
hypocrisy	0.0451492
disrespect	0.0451061
inspiration	0.045057
precursor	0.0448107
"test case"	0.0445847
"first step"	0.0445452
nonsense	0.0444603
reversion	0.0444461
disappointment	0.0444187
contradiction	0.0442762
birthright	0.0442149
indifference	0.0437568
anomaly	0.0436848
encouragement	0.043185
turnabout	0.043167
insensitivity	0.0429222
acknowledgment	0.042751
hoax	0.042648
"long shot"	0.0423155
indignity	0.0420665
catastrophe	0.0419476
blackmail	0.041937
steppingstone	0.041913
hardship	0.0417132
shrine	0.0415575
arrogance	0.0415006
overkill	0.0413884
"stumbling block"	0.041274
latest	0.0412476
taboo	0.0412093
allegiance	0.0411079
credence	0.0410062
precedent	0.040824
escalation	0.0407712
milestone	0.0403872
usurpation	0.040301
"moral obligation"	0.0402839
))
(Afghan (desc 11202.7) (sims
Sudanese	0.172769
Iraqi	0.167435
"Sri Lankans"	0.164106
Iranian	0.160141
Ethiopian	0.14993
Cambodian	0.146268
Somali	0.14453
Kurds	0.14275
Pakistani	0.141455
Bangladeshi	0.135368
Angolan	0.131815
Bosnians	0.124686
Filipino	0.124309
Liberian	0.119851
Lebanese	0.119793
Kosovars	0.11658
Egyptian	0.115165
Congolese	0.115098
Kenyan	0.114757
Moroccan	0.114586
Turk	0.114431
"North Koreans"	0.113212
Burundian	0.110905
Ugandan	0.109948
Vietnamese	0.109725
Thai	0.109474
Eritrean	0.108531
Indonesian	0.108471
"Sierra Leonean"	0.107731
Beijingers	0.107308
"East Timorese"	0.10695
Mozambican	0.106777
Algerian	0.105459
"Iraqi POWs"	0.105423
foreigner	0.105251
Jordanian	0.104566
migrant	0.104049
refugee	0.10183
Nigerian	0.101764
Tibetans	0.100585
Rwandan	0.100298
Haitian	0.0994958
Syrian	0.0990533
Frenchmen	0.0986876
"Kosovar Albanians"	0.0979047
Zairean	0.0964391
Zimbabwean	0.0960803
Cuban	0.0952584
Kuwaiti	0.0951927
"Iraqi Kurds"	0.0951886
Singaporean	0.0945571
Ukrainians	0.093942
Zambian	0.0938248
Yemeni	0.093542
Colombian	0.0933773
Mexican	0.0929737
Palestinian	0.0902613
"displaced person"	0.0899811
Tanzanian	0.0894279
civilian	0.0893521
Briton	0.088835
"Iranian POWs"	0.0886987
Nepalese	0.0881378
African	0.0874208
Chechens	0.0873412
"Kosovo Albanians"	0.0869854
villager	0.0866374
national	0.0859329
Bulgarian	0.0857834
citizen	0.085089
Armenians	0.0847321
Muslim	0.0846368
Saudi	0.0846152
Malaysian	0.08438
Honduran	0.0841381
Serbs	0.0840008
Arab	0.0838128
Albanian	0.0836851
Chilean	0.0836788
Georgian	0.0827529
"South Koreans"	0.0818593
Salvadoran	0.0818045
Jew	0.0809389
"Russian Jews"	0.0801451
Malian	0.0799515
"Kosovo Serbs"	0.079937
homeless	0.0795739
Russian	0.0791589
Cypriot	0.0789712
evacuee	0.0789397
Koreans	0.078596
Indian	0.0780245
Greeks	0.0775338
"Albanian Kosovars"	0.0774518
inhabitant	0.0774367
Croats	0.0774362
immigrant	0.0773901
Hungarian	0.0770499
Canadian	0.0767994
Macedonian	0.0767821
"North Africans"	0.0766659
Kashmiris	0.0762123
asylum-seekers	0.0761845
Arab-Americans	0.0755452
Venezuelan	0.0750907
Hindu	0.0750191
Romanian	0.0749658
"South African"	0.0749041
Tunisian	0.0738931
Chinese-Indonesians	0.073869
armymen	0.0735012
Taiwanese	0.0732552
Israeli	0.0732246
deserter	0.0728721
peasant	0.0722883
"Central American"	0.0721301
Hijacker	0.0717531
returnees	0.0715618
militant	0.0714994
Shiite	0.0706908
"senior citizen"	0.0703411
reservist	0.070305
Fishermen	0.0701922
Peruvian	0.0699929
tourist	0.0696921
Australian	0.0696413
sq.km	0.0690012
Hutus	0.0689783
Yugoslav	0.0689066
mainlanders	0.0686348
illegals	0.0685953
Nicaraguan	0.0684952
pilgrim	0.0682027
dissident	0.0681808
"drug addict"	0.0681365
businessmen	0.0681343
prisoner	0.0680104
Californian	0.0679975
Libyan	0.0679193
"union member"	0.0678264
Guatemalan	0.0677788
displaced	0.0677382
"Afghan Taliban"	0.0675235
diplomat	0.0674359
farmer	0.0672641
"university student"	0.0672389
Namibian	0.0670848
laborer	0.0670145
"college student"	0.0666779
"Puerto Rican"	0.0666352
Panamanian	0.0665805
VMs	0.0665789
Montenegrins	0.0664106
job-seekers	0.0661195
Tutsis	0.0660457
needy	0.0654616
schoolchildren	0.0653789
Taliban	0.0652127
Fijian	0.0651241
Tamil	0.0647923
miner	0.0646672
protestor	0.0645932
retiree	0.064534
Laotian	0.064441
orphan	0.0644245
expatriate	0.0644085
christian	0.0643237
Copt	0.0640414
dweller	0.0638651
traveler	0.0637805
Brazilian	0.063632
"farm worker"	0.0634368
countrymen	0.063393
Moslem	0.0633351
"political dissident"	0.0632692
"Shiite Muslims"	0.0632432
worshipper	0.0630499
guerrilla	0.0629583
Floridian	0.0629547
servicemen	0.0628292
Gypsy	0.0628042
firefighters	0.0627552
worshiper	0.0627166
"Israeli Arabs"	0.0625826
POW	0.0623516
detainee	0.0622318
"San Franciscans"	0.0619864
"political prisoner"	0.0619741
passenger	0.0619638
westerner	0.0618205
settler	0.0618153
noncitizens	0.0617028
"foster child"	0.0616206
Japanese	0.0612636
combatant	0.0602614
Dominican	0.0601434
"New Zealander"	0.0598751
mercenary	0.059777
"Bosnian Muslims"	0.0595295
Iowan	0.0594958
))
("Afghan Taliban" (desc 2045.87) (sims
Taleban	0.222327
Taliban	0.146426
Abkhazian	0.135134
SPLA	0.123401
ragtag	0.1232
Amal	0.121251
Banyamulenge	0.120503
"Lebanese Hezbollah"	0.118346
Camerounian	0.11036
"South Vietnamese"	0.109579
basij	0.109271
"Indonesian Armed Forces"	0.109001
Sandinista	0.105574
militia	0.101488
ninja	0.101374
"Iranian Foreign Ministry"	0.0996037
Zairian	0.0979942
Timorese	0.0966997
UNITA	0.0962097
"Sudan People's Liberation Army"	0.0960522
"Turkish Cypriot"	0.0940241
Interahamwe	0.0937622
"Shiite Muslim"	0.093226
"Bosnian Croat"	0.0928693
"Bosnian Muslim"	0.0928072
Kuomintang	0.0927132
"Baath Party"	0.0905694
MQM	0.0903132
"Khmer Rouge"	0.0903001
Chechen	0.0892935
Zapatista	0.088279
Hutu	0.0882083
"civil defense"	0.0873347
"U.S. Immigration and Naturalization Service"	0.0869452
RRA	0.0868605
"State Bank of Pakistan"	0.0866632
RUF	0.0866494
"United Nations High Commission for Refugees"	0.0866385
"Israeli Foreign Ministry"	0.0864199
Dostum	0.085669
Fatah	0.0854081
"Nationalist Party"	0.0843392
"Palestine Liberation Organization"	0.0839312
"Kosovo Albanian"	0.0837639
Islamist	0.0836599
"South Lebanon Army"	0.0828929
"Indonesian Military"	0.0828475
"Northern Alliance"	0.0827491
occupying	0.082632
LRA	0.0813771
"Pakistan Muslim League"	0.0812534
MDC	0.0809295
UNP	0.0806135
Uzbek	0.0800599
"Karachi Stock Exchange"	0.0800366
Marehan	0.0797149
SLA	0.0793864
Kashmiri	0.0791897
"South Lebanese Army"	0.0789488
pro-British	0.0787193
"Sierra Leonean"	0.0776258
"Sri Lankan"	0.0774857
"Organization of Islamic Conference"	0.0774841
"Russian Communist Party"	0.0772264
UMNO	0.0759505
Pakistani	0.0759322
"African National Congress"	0.0757953
"Moro Islamic Liberation Front"	0.0754193
LTTE	0.0753893
Turkish	0.0753807
"National League for Democracy"	0.074526
Tajik	0.0739896
KDP	0.0735596
"North Vietnamese"	0.0732708
"Congress Party"	0.0731954
"Yugoslav Army"	0.0730699
"Arab League"	0.0726479
"National Election Committee"	0.0723836
"Turkish Foreign Ministry"	0.0718791
Botswanan	0.0717215
Shiite	0.0716921
"Defense Agency"	0.0715193
PML	0.071505
ANC	0.0714189
Hezbollah	0.0707188
hardline	0.0705734
"United National Party"	0.0704917
Awami	0.0703333
Nepali	0.0702146
"Rashid Dostum"	0.070207
NPA	0.0698997
Meretz	0.0696525
RCD	0.0694094
Rodionov	0.0691901
Meguid	0.0691453
secessionist	0.0691091
"Islamic Revolutionary Guards Corps"	0.0689394
"Church of Jesus Christ of Latter-day Saints"	0.0686958
Ivorian	0.068503
Yabloko	0.0682623
"U.S. State Department"	0.0681553
PUK	0.0679961
ELN	0.067551
Afghan	0.0675235
BJP	0.067387
"Benazir Bhutto"	0.0673471
"Kurdish Workers"	0.0672872
PLO	0.0672184
"Revolutionary United Front"	0.0671596
UNTAET	0.0670907
"East Timorese"	0.0670506
PDI	0.0670487
"home rule"	0.066973
"English Football Association"	0.0667493
"Greek Cypriot"	0.06669
Tutsi	0.0664045
Rabbani	0.0662778
PCF	0.0661892
UUP	0.06605
"Philippine Senate"	0.0658391
"Red Army"	0.0657355
"Rwandan Patriotic Front"	0.0656344
MILF	0.0656341
"Ethnic Albanian"	0.0655816
royalist	0.0655706
DSE	0.0654573
NLD	0.0654434
"Sam Rainsy Party"	0.0654356
"U.N. Environment Program"	0.0654041
INTERFET	0.0653672
Ashrawi	0.0652644
"Third Way"	0.0649855
NDF	0.0649125
Renamo	0.0646888
"Joint Liaison Group"	0.0646376
mujahedeen	0.0645041
"Democratic Unionist Party"	0.0643093
"Russian Foreign Ministry"	0.0641093
Allende	0.0638953
"Bosnian Serbs"	0.0636227
"United Nations Environment Program"	0.063619
EBRD	0.06357
"Agriculture Ministry"	0.0634654
"Patriotic Union of Kurdistan"	0.0633688
"Speaker Ali Akbar Nateq-Nouri"	0.0633136
"Atlanta Committee"	0.0632821
"Palestinian National Authority"	0.0632388
"National Republican Congressional Committee"	0.0632038
FARC	0.0631543
CBI	0.0630254
Hezb-i-Islami	0.062898
SFOR	0.0628615
ZCTU	0.0627801
NDA	0.0627602
"Center Party"	0.0621852
"New York Police Department"	0.0620854
Ceausescu	0.0620209
Aidid	0.0619136
Hijacker	0.0618716
"Information Ministry"	0.0617135
Muslim-Croat	0.0616682
Lamberth	0.0616247
"Orthodox Church"	0.0615851
"Kosovo Liberation Army"	0.0615666
"General Committee"	0.0614821
skinhead	0.0611004
"Palestinian Liberation Organization"	0.0610478
"National Convention Executive Council"	0.0610132
ABRI	0.0609109
Kasoulides	0.0608615
UF	0.0608434
"Bosnian Serb"	0.0607743
"Philippine Central Bank"	0.0606415
Bhutto	0.0605367
NP	0.0604699
"Islamic Welfare Party"	0.0604658
PNG	0.0604325
Kurdish	0.0603575
"Polisario Front"	0.0602876
"Abu Sayyaf"	0.0602495
Napolitano	0.0602392
"Russian Defense Ministry"	0.0600799
UPDF	0.0600691
Liao	0.0600663
Shays-Meehan	0.0600661
"Socialist Party"	0.0599691
"Russian Interior Ministry"	0.0599208
Benazir	0.0598069
"Islamic Movement"	0.0594985
"National Union"	0.059455
fundamentalist	0.0592577
"Secretary General Esmat Abdel-Meguid"	0.0591515
"U. N."	0.0591157
SPD	0.0591147
"Public Security Ministry"	0.058909
junta	0.0588637
"British government"	0.0588493
"Interior Ministry"	0.0587979
Philippine	0.0586514
DP	0.0586232
))
(Afghanistan (desc 82937.3) (sims
Sudan	0.225088
"Sierra Leone"	0.1928
Iraq	0.192558
Congo	0.188826
Somalia	0.185674
Angola	0.185276
Lebanon	0.18444
Iran	0.179009
Zaire	0.178876
Burundi	0.176667
Cambodia	0.1762
Chechnya	0.174809
Pakistan	0.168025
Kosovo	0.167717
Albania	0.167367
Yugoslavia	0.167047
Liberia	0.163202
Tajikistan	0.162961
Bosnia	0.160241
"East Timor"	0.157753
Colombia	0.157694
DRC	0.157296
Rwanda	0.153987
Ethiopia	0.150295
Algeria	0.146851
Libya	0.144512
Eritrea	0.143937
Kabul	0.143558
Haiti	0.142501
Kashmir	0.141901
Bangladesh	0.140614
Turkey	0.140559
Syria	0.137735
Serbia	0.137636
India	0.137312
Nicaragua	0.136158
region	0.135562
"North Korea"	0.135366
Kenya	0.135307
Kuwait	0.134539
Mozambique	0.134092
Uganda	0.133886
Russia	0.133423
Cyprus	0.133363
"Middle East"	0.133053
Indonesia	0.131408
"African country"	0.130882
"Sri Lanka"	0.130789
"Democratic Republic of the Congo"	0.130024
Israel	0.129558
Zambia	0.129494
Vietnam	0.128278
Myanmar	0.127316
Laos	0.127135
province	0.126377
Balkans	0.126035
Egypt	0.125509
"Saudi Arabia"	0.12545
Republic	0.125153
country	0.124955
"African nation"	0.12489
Macedonia	0.124864
Yemen	0.123221
Peru	0.12218
Thailand	0.121226
Dagestan	0.121193
Guinea-Bissau	0.120595
Nigeria	0.120394
Namibia	0.119954
Africa	0.119377
Tanzania	0.119306
"South Africa"	0.118389
China	0.118027
"Democratic Republic of Congo"	0.118005
Guatemala	0.117725
Nepal	0.117325
Cuba	0.117059
Kyrgyzstan	0.116211
Zimbabwe	0.115435
Honduras	0.115423
Baghdad	0.115418
Uzbekistan	0.11478
"Northern Ireland"	0.114711
Azerbaijan	0.114097
Taiwan	0.112894
Mexico	0.112314
Panama	0.111755
Philippines	0.111388
territory	0.111322
Bosnia-Herzegovina	0.110793
"Democratic Republic"	0.109511
Greece	0.108966
Tibet	0.10834
Bahrain	0.10753
Malaysia	0.106771
Mazar-e-Sharif	0.106768
Lesotho	0.10519
Bulgaria	0.105189
Poland	0.104913
Armenia	0.104677
Guinea	0.104126
BELGRADE	0.104066
Mongolia	0.103822
Ukraine	0.103682
Mindanao	0.10266
Europe	0.102344
Burma	0.10161
Comoros	0.101441
Venezuela	0.101214
Montenegro	0.101078
"United States"	0.100601
Grozny	0.100354
Freetown	0.100105
"Persian Gulf"	0.0995009
Croatia	0.0993752
Asia	0.0980521
Japan	0.0977489
Islamabad	0.0973162
Tehran	0.097216
Senegal	0.0969903
Jordan	0.0968112
Hungary	0.0962898
Argentina	0.0961673
Romania	0.0960959
Ecuador	0.0959075
"West Bank"	0.0958252
Turkmenistan	0.0958098
"Gaza Strip"	0.0957884
Qatar	0.0954835
Kazakhstan	0.095239
Palestine	0.0952235
Kandahar	0.0950499
Caucasus	0.0948531
"South Korea"	0.0947901
Khartoum	0.0946899
"Papua New Guinea"	0.0945579
"El Salvador"	0.0943872
"Latin America"	0.0943151
"Asian country"	0.0941147
Chad	0.0939606
Kinshasa	0.0931136
island	0.0926563
Malawi	0.0926534
area	0.0925067
France	0.0920592
Korea	0.0919233
"Dominican Republic"	0.0916909
Taliban	0.0909503
"Central America"	0.0907295
Moscow	0.0905246
Bolivia	0.0903677
Gaza	0.0892995
"Hong Kong"	0.0892748
Niger	0.088995
Austria	0.088733
"South Asia"	0.0886485
Belarus	0.0886127
Canada	0.0883075
Italy	0.0881987
Singapore	0.0881746
Georgia	0.08789
Djibouti	0.087793
Oman	0.0877083
Britain	0.087573
Ghana	0.0873613
DPRK	0.0872886
Brazil	0.087058
Germany	0.0869796
Abkhazia	0.086808
homeland	0.0867575
Chile	0.0863641
Morocco	0.0863616
Fiji	0.0863006
Kingdom	0.0861519
Mogadishu	0.0860222
Aceh	0.0859761
"Asian nation"	0.0858107
Botswana	0.0857637
Tunisia	0.0856953
"Eastern Europe"	0.0854369
Sarajevo	0.0850102
BEIJING	0.0849864
"Ivory Coast"	0.0846631
"West Timor"	0.0844667
"Republic of Congo"	0.0843608
Australia	0.0842285
Monrovia	0.0840054
Switzerland	0.083846
nation	0.0836351
Togo	0.0830755
Beirut	0.0830098
Kazakstan	0.0827806
"Balkan country"	0.0826745
Mali	0.0823729
"Southeast Asia"	0.0823178
Bhutan	0.0818779
Kisangani	0.0817306
"Soviet Union"	0.0813428
Jakarta	0.0813358
Moldova	0.0813034
))
(AFI (desc 1743.35) (sims
ACB	0.107172
"American Film Institute"	0.100427
CMA	0.0907335
PCC	0.0902742
CEC	0.0893515
"Screen Actors Guild"	0.0889971
USTA	0.0876378
"Top @@@"	0.083442
WEF	0.08341
CSC	0.0826027
"England Club"	0.0807171
NEA	0.0745819
MPAA	0.0729187
INEC	0.0728196
SDS	0.0716351
"Australian Cricket Board"	0.0707076
"Modern Library"	0.0705172
"Board of Trade"	0.0689886
Rossotti	0.0682211
SLOC	0.0681365
"Top @"	0.0672805
Loewen	0.0663104
NSC	0.0661173
KPU	0.0656787
DPP	0.0654146
"Appropriations Committee"	0.0639453
CFTC	0.0635065
Starwood	0.0634557
VFW	0.0633067
GSS	0.0624023
NDF	0.0622402
Histadrut	0.0615403
ADL	0.0614587
Radcliffe	0.0613267
CCF	0.0603264
CMAG	0.0599678
PATA	0.0597847
"Golden Bear"	0.059654
CITES	0.059565
DSE	0.0594703
"Republican House"	0.0591515
"blue ribbon"	0.0587234
Icann	0.0585228
AARP	0.0584143
IEC	0.0582615
ama	0.0582553
"Housing Authority"	0.0582241
BofA	0.0579468
JMC	0.057729
ICC	0.0574805
"Truth Commission"	0.0571853
GPU	0.0571305
ITC	0.0570254
Arista	0.0569421
OSHA	0.0564265
DAP	0.0563093
PECC	0.0561487
BSA	0.055613
"Los Angeles City Council"	0.0555606
DLC	0.0554848
NTSB	0.0552562
TDB	0.0550521
"Electoral Commission"	0.0548702
Kimble	0.0548564
NIH	0.0546495
Pixar	0.0545664
MTA	0.0542585
CalPERS	0.0542284
NASD	0.0541843
"House Government Reform Committee"	0.0541247
Bulog	0.0540813
"Port Authority"	0.0540033
FA	0.05388
Wada	0.0538259
CAA	0.0538233
IEA	0.0534505
CIRC	0.053416
"House International Relations Committee"	0.0531887
F.A	0.0531287
UNIP	0.0528168
"Southern Co."	0.052776
"House Budget Committee"	0.052744
"Con Ed"	0.052685
LIFFE	0.0520935
DNC	0.0519986
USGA	0.0517434
SAirGroup	0.0516333
BSF	0.0515743
"Commerce Committee"	0.0515297
NCI	0.0514297
AmCham	0.0513711
OCA	0.0512812
"Football Association"	0.0512361
ARF	0.0511348
EAC	0.0509657
"Central Election Commission"	0.0503936
USOC	0.0503542
Postel	0.0502943
Caltrans	0.0501961
CPSC	0.0499853
KPA	0.049927
"PLO Executive Committee"	0.0498736
CSA	0.0497328
CSE	0.0496312
G-@@	0.0495685
Tandy	0.0494896
"Senate Budget Committee"	0.0492731
PLDT	0.0491433
McKesson	0.0490194
"Russian Space Agency"	0.0487775
Internet@	0.048758
"Ask Jeeves"	0.0486754
"planning commission"	0.0486076
"Sporting News"	0.0486015
PNP	0.0486011
SDLP	0.0481012
CSRC	0.048071
guild	0.0479091
"Golden Globe"	0.0474162
BMI	0.0473724
TrustE	0.0470004
ICI	0.0468894
TDC	0.0468751
ZDTV	0.0467781
CPA	0.0465999
Bae	0.0465783
MCC	0.0465735
MMD	0.046516
"Big West"	0.0465039
"Kennedy Center"	0.0464269
Humana	0.0463908
BOI	0.0462031
Asda	0.0461967
HKMA	0.0461601
NRC	0.0459033
"Congressional Black Caucus"	0.0458662
CWC	0.0456358
UNAMET	0.045553
MII	0.0455229
HUD	0.0453398
"Banking Committee"	0.0453129
"Earth Day"	0.0452537
KONI	0.045137
DFB	0.0449094
ABA	0.0448183
Barclays	0.0447676
Schoeneweis	0.0447046
"Universal Pictures"	0.0447032
Ida	0.0446952
"Atomic Energy Commission"	0.0446363
DEP	0.0446149
"Rules Committee"	0.0445725
"National Transportation Safety Board"	0.0444862
mead	0.0444385
BankBoston	0.0444062
"American Family Publishers"	0.0443617
"John Waters"	0.044199
DMA	0.0441075
NHRA	0.0440733
UNESCO	0.0437714
EC	0.0437417
IDC	0.0437335
"Recording Industry Association of America"	0.0436599
ICA	0.0436395
"Phi Beta Kappa"	0.0433381
Solondz	0.0432248
"honorable mention"	0.0431982
"Senate Governmental Affairs Committee"	0.0431957
MFA	0.0430951
LPGA	0.0429955
VICKERS	0.042969
MacArthur	0.042895
Spoleto	0.0428402
Emmy	0.0427551
Totalfina	0.0427191
"District Council"	0.0426939
Americorps	0.0425679
"Nevada Athletic Commission"	0.0425356
Esposito	0.0425035
"R.J Reynolds"	0.0424813
Zanu-pf	0.0424809
SDP	0.0424516
FORD-Kenya	0.0423529
Burnett	0.0423506
SBA	0.0423234
Opry	0.042297
"Board of Elections"	0.0422663
UMKC	0.0422378
ENTERGY	0.0421982
CDC	0.0421757
Hayden	0.0421083
ILO	0.0420251
Allstate	0.0418709
RNC	0.0418666
IBRA	0.0418436
goverment	0.0418265
PDP	0.04179
Geffen	0.0417885
OED	0.0417842
SPDC	0.0417412
))
(aficionado (desc 4978.49) (sims
aficionados	0.118884
buff	0.113613
enthusiast	0.0986922
connoisseur	0.0951487
devotee	0.0924844
junkie	0.0873209
fanatic	0.0756164
fiend	0.0744021
hobbyist	0.0739002
lover	0.0712508
"guitar player"	0.0703532
"sports fan"	0.0702654
purist	0.0686939
arranger	0.0672514
collector	0.0657506
birder	0.0639642
admirer	0.0637881
Maven	0.0625683
wonk	0.0625257
neophyte	0.0597513
meccas	0.0589872
greats	0.0587009
"bird watcher"	0.0576925
procrastinator	0.0571393
snob	0.0564157
restaurateur	0.0559703
"disc jockey"	0.0554014
raconteur	0.0550654
historian	0.054359
gamers	0.0541927
exponent	0.053098
hater	0.0529211
statesman	0.052057
novice	0.05171
watcher	0.0514778
chronicler	0.051174
subgenre	0.0509372
geek	0.0502791
optimist	0.0502158
songwriter	0.0501312
newspaperman	0.0500764
techies	0.0500053
co-editor	0.049822
linguist	0.0497882
newbies	0.0493663
"good person"	0.0492279
playlists	0.0491079
impresario	0.0484937
bodybuilder	0.0484479
caterer	0.0483028
junky	0.0482427
bird-watchers	0.0482339
"management consultant"	0.0477639
jock	0.0477104
handicapper	0.0476288
reviewer	0.0474056
educator	0.0473684
DJ	0.0473556
"club member"	0.0472988
"jazz musician"	0.0470533
horticulturist	0.046868
"world traveler"	0.0467088
innovator	0.0463975
cynic	0.0462555
preservationist	0.0461556
Trailblazer	0.0458529
exerciser	0.0457131
"big leaguer"	0.0456061
drinker	0.0452335
"art historian"	0.0451877
biker	0.0451849
bandleader	0.045167
cinematographer	0.0450831
archivist	0.044851
learner	0.0446677
outcast	0.0443874
fancier	0.0442256
cognoscenti	0.0437907
techie	0.0435327
overachiever	0.0434668
guitarist	0.0433584
"mountain climber"	0.0433538
oilman	0.0432411
"hard worker"	0.043198
woodworker	0.0430242
racer	0.0429795
redneck	0.042931
fisherman	0.0429148
purveyor	0.0428882
"professional golfer"	0.042878
weirdo	0.0428241
Atlantan	0.0425319
craze	0.042214
"AIDS activist"	0.0421706
"fashion designer"	0.0421118
iconoclast	0.0420045
miler	0.0419451
internationalist	0.0419029
gardener	0.0416841
"press agent"	0.0416733
technocrat	0.0414992
sleuth	0.0414587
novelist	0.0414312
diva	0.0414282
"baseball coach"	0.0414247
filmmaker	0.0413737
emporium	0.0413429
knucklehead	0.0412911
"business executive"	0.0412065
percussionist	0.041151
battler	0.0410756
sportscaster	0.0410467
bassist	0.0409269
"baseball player"	0.0408845
"security consultant"	0.0408728
electrician	0.0406392
gambler	0.0402215
interlocutor	0.0400762
))
(aficionados (desc 11971.9) (sims
enthusiast	0.14081
buff	0.128691
aficionado	0.118884
devotee	0.117672
connoisseur	0.106896
lover	0.100349
collector	0.0917832
"sports fan"	0.0912195
fanatic	0.0896057
cognoscenti	0.086414
"music lover"	0.0860271
gamers	0.0831555
listener	0.0805873
moviegoer	0.077247
junky	0.0761448
purist	0.0756097
historian	0.0752258
junkie	0.0744452
Maven	0.0714646
drinker	0.0681605
pundit	0.0669111
hater	0.0665773
watcher	0.065873
scholar	0.0656807
Reader	0.0655906
theatergoer	0.0653543
"market watcher"	0.0649684
luminary	0.0643867
addict	0.0643849
shopper	0.0638303
novice	0.0637666
educator	0.0619589
meccas	0.0619061
admirer	0.0618889
critic	0.0609256
hobbyist	0.0606229
angler	0.0603065
techies	0.0600829
environmentalist	0.0600772
surfer	0.0599725
viewer	0.0594473
geek	0.0592008
reviewer	0.0591608
folk	0.0583608
chronicler	0.0582553
musician	0.0576901
patron	0.0576745
buyer	0.0574579
believer	0.0573939
naysayer	0.0569623
greats	0.0569385
traditionalist	0.056623
filmmakers	0.0560656
practitioner	0.055913
old-timer	0.0552606
Iowan	0.0551433
Parisian	0.0551111
"Southern Democrats"	0.0549484
Programmer	0.054936
faithful	0.0544549
attendees	0.0543255
diehard	0.054231
fandom	0.0539077
"club member"	0.0537941
insider	0.0537279
vacationer	0.0537212
intellectual	0.0534196
impresario	0.0532103
traveler	0.0531486
follower	0.0531142
preservationists	0.0527114
entrepreneur	0.0524492
filmgoers	0.0516345
"business leader"	0.0513258
bird-watchers	0.0511593
archivist	0.050795
kayakers	0.0506126
academic	0.0505573
bigwig	0.0504434
"New Englander"	0.0503804
advertiser	0.0503452
craze	0.0502426
resellers	0.0501723
"New Yorker"	0.0499782
theorist	0.0496627
grower	0.0496183
Alumni	0.0494408
observer	0.0493486
rappers	0.0493
distiller	0.0492989
Atlantans	0.0490391
stargazer	0.0490149
sportswriters	0.0486778
groupie	0.0486445
goer	0.0486338
birder	0.048621
guru	0.0486003
theologian	0.0485162
Futurist	0.0484643
onlooker	0.0483737
fiend	0.0483636
highflier	0.0481062
commentator	0.0481017
"business traveler"	0.0480926
newbies	0.047716
marketers	0.0475931
fancier	0.0474358
trader	0.0472614
Quebecers	0.047218
loyalist	0.0471276
teens	0.0470789
feminist	0.0470732
neophyte	0.0470644
Beijingers	0.0469747
"Orthodox Jews"	0.0469158
memorabilia	0.0467824
celebrity	0.0466767
nudist	0.0465671
homeowner	0.0463866
composer	0.046336
developer	0.0460505
promoter	0.0459333
adherent	0.045895
celebs	0.0458863
cartoonist	0.0458248
"civic leader"	0.0458133
enactors	0.0457741
mourner	0.0454829
"business executive"	0.0453563
Peruvian	0.0453305
"Wall Street analyst"	0.045314
schoolers	0.0452252
elite	0.0451048
racer	0.0450796
skeptic	0.045044
Angelenos	0.0448511
purveyor	0.0447816
disciple	0.0447425
"stamp collector"	0.0446641
lore	0.0446393
prognosticator	0.044529
animators	0.0444127
panelist	0.0442702
thinker	0.0441102
adventurer	0.0440782
seller	0.044029
Minnesotan	0.0440108
gardener	0.0439993
restaurateur	0.0439904
"market participant"	0.0438556
execs	0.0438543
retiree	0.0436734
taster	0.0436305
"San Franciscans"	0.0435321
"American Jews"	0.0435106
scribe	0.043479
innovator	0.0434573
ethicists	0.0434441
westerner	0.043329
astronomer	0.0431901
criminologists	0.0431807
Bostonians	0.0431534
gawkers	0.043083
snob	0.043078
immortal	0.0430289
distributor	0.0429916
biographer	0.0429439
reveler	0.042911
urbanites	0.0428029
policymakers	0.0427954
banker	0.0427459
bikers	0.0426885
Cuban-Americans	0.0426757
Malaysian	0.0425992
Taiwanese	0.0425647
statesmen	0.0424822
"little leaguer"	0.0424819
"legal expert"	0.0424732
hipsters	0.0423777
well-wisher	0.0421554
zealot	0.0421372
diner	0.0420512
scalpers	0.0420244
salesmen	0.041964
icon	0.0416925
hiker	0.0415873
genealogist	0.0415871
detractor	0.0415599
botanist	0.0415488
bohemian	0.0415137
"venture capitalist"	0.0414707
purchaser	0.0413269
superstar	0.0412152
Muscovite	0.0411874
denizen	0.0411846
townsfolk	0.0411846
passersby	0.0411575
Jordanian	0.0410672
freak	0.0410144
winemaker	0.0410096
))
(AFL (desc 2533.64) (sims
"American Football League"	0.245178
"Western Athletic Conference"	0.156612
CWS	0.148612
"Southwest Conference"	0.13859
"National Hockey League"	0.136393
ABA	0.13524
"Big Sky Conference"	0.133926
"Continental Basketball Association"	0.132861
Pacific-@@	0.12522
"National Basketball Association"	0.122841
ABL	0.116985
"National Football League"	0.115093
"Atlantic Coast Conference"	0.11482
"AFC Central"	0.112223
"Southeastern Conference"	0.110826
C-USA	0.109319
"American Basketball League"	0.108724
CBA	0.107949
"Conference USA"	0.106477
WNBA	0.104543
"Little League World Series"	0.104507
ml	0.103898
"Arena League"	0.103052
WAC	0.101469
IHL	0.101437
"professional baseball"	0.101411
"professional football"	0.101382
"Big East"	0.0999393
"Arena Football League"	0.0994251
ACC	0.0992571
NHL	0.0984599
"Pan Ams"	0.0972151
"World Championship"	0.095675
"professional basketball"	0.0935465
"World League"	0.0927019
"Big Sky"	0.0900425
PBA	0.089745
snooker	0.0891774
"NFC West"	0.0887959
"Indy Racing League"	0.0883931
NFC	0.0875994
"Division I-AA"	0.0874435
AFC	0.0871105
A.L.	0.0861043
"MLS Cup"	0.085135
NTRA	0.0840266
LPGA	0.0839253
WCC	0.0831429
"Big @@"	0.0818203
"College World Series"	0.0813716
"Sudirman Cup"	0.0812147
"AFC West"	0.0807959
"NFL Europe"	0.0803677
XFL	0.0796499
"American League"	0.0795884
"little league"	0.0793722
AHL	0.0791384
"NFC East"	0.0788873
"Federation Cup"	0.0787293
"American Hockey League"	0.0783523
"European Cup"	0.0782709
"International Hockey League"	0.0779881
WHA	0.0778438
"Fed Cup"	0.0770872
"Central Division"	0.0770859
Bundesliga	0.0770034
"Big West"	0.076648
CAA	0.0761525
"Eastern Division"	0.076122
"NL Central"	0.0760361
"National League West"	0.0736809
"International League"	0.0735409
"SEC East"	0.0727183
"Italian League"	0.0723763
"United States Open"	0.0723301
"Premier League"	0.072185
"NL East"	0.0721439
"Cactus League"	0.0720767
Pac-@@	0.0720265
"U.S. Amateur"	0.0715529
"professional golf"	0.0712811
EuroLeague	0.0712003
"first cup"	0.0710872
"National Collegiate Athletic Association"	0.0706852
NHRA	0.0706515
"Thomas Cup"	0.0697464
"NFC Central"	0.0693868
"Midwest Regional"	0.0692988
varsity	0.0680576
"first nine"	0.0679916
"USA Basketball"	0.0674477
"Division @"	0.0673303
"Solheim Cup"	0.0672222
"Western Conference"	0.0670658
"major league"	0.0670143
SANDF	0.0669301
Scrabble	0.0667436
"water polo"	0.0666976
"AFC East"	0.0665841
"AL Central"	0.0661752
"woman's body"	0.0660563
"National League"	0.065964
"West Regional"	0.065793
"Eastern Conference"	0.0654971
"Uber Cup"	0.0648932
"Funny Car"	0.0645637
"South Regional"	0.0644312
"NL West"	0.0640186
"Total Fina"	0.0634477
IRL	0.06332
cruiserweight	0.06326
"Pacific Division"	0.0631219
"League Cup"	0.0628431
"Winston Cup"	0.0618129
SEC	0.0617469
BSF	0.0612229
pentathlon	0.0609548
"Pan Pacific"	0.0606751
"American football"	0.0606515
"English Premier League"	0.0602655
"Cleveland Browns"	0.0601553
MLB	0.0601289
"Canadian Football League"	0.0598429
Cavs	0.0597885
NL	0.0597275
UNIFIL	0.0596469
"LPGA Tour"	0.0596303
nunnery	0.0592364
"Time Inc."	0.0591797
"Negro Leagues"	0.05911
"Ivy League"	0.059091
under-@@	0.0589672
Tanganyika	0.0589037
"big league"	0.0588658
bodybuilding	0.0585433
"American League West"	0.0583332
AMEX	0.0582986
WNBF	0.058188
"World Junior Championships"	0.0580038
Maurier	0.0576964
SCLC	0.0574566
"won seven"	0.0574412
"Russian Navy"	0.0572643
"Brooklyn Dodgers"	0.0572396
Seahawk	0.0571105
"National League Central"	0.0570644
"Italian Cup"	0.0570309
constructor	0.0570074
Lotto	0.0569976
"Chinese Olympic"	0.0567504
"Hong Kong Open"	0.0567234
softball	0.0565833
triathlon	0.0564683
UNFICYP	0.0564619
Paralympics	0.056385
"Top Fuel"	0.0562412
"Hopman Cup"	0.0561647
"National Invitation Tournament"	0.056047
"U.S. Senior Open"	0.0558488
NASCAR	0.0557531
"table tennis"	0.0553416
Bengals	0.0552853
DEP	0.0552199
"New York Yacht Club"	0.0551686
UNRWA	0.0550863
"AL West"	0.055047
judo	0.0550416
"Senior PGA Tour"	0.054929
"over seven"	0.054905
"match play"	0.0548675
"National League East"	0.0546645
"junior lightweight"	0.0543865
"Houston Oilers"	0.0543573
"American Legion"	0.0542207
"Los Angeles Rams"	0.0540686
"European Community"	0.0540614
"Game Boy"	0.0540469
hardcourt	0.0540241
"ice hockey"	0.0539757
badminton	0.0538276
Springbok	0.0538181
"hammer throw"	0.0536726
Healtheon	0.0536372
"California Angels"	0.0534486
Norwest	0.053435
"Chinese Army"	0.0534153
nit	0.0533155
"NCAA Tournament"	0.0532176
"over four"	0.0532153
MLS	0.0531667
Quokka	0.0528992
"European Champions Cup"	0.0528634
Ironman	0.052814
"Pan Am Games"	0.0527115
"figure skating"	0.0525617
"League of Nations"	0.0524939
"Davis Cup"	0.0524733
"first six"	0.0522671
"junior welterweight"	0.0520579
"AL East"	0.0519972
))
(AFL-CIO (desc 14643.5) (sims
"National Education Association"	0.214392
"Sierra Club"	0.191164
"U.S. Chamber of Commerce"	0.16693
"National Abortion and Reproductive Rights Action League"	0.165112
AARP	0.160869
"National Rifle Association"	0.159477
NARAL	0.157363
"Communications Workers of America"	0.154471
NAACP	0.152964
"American Federation"	0.151276
"Christian Coalition"	0.14604
NRA	0.144542
"League of Conservation Voters"	0.142437
"Human Rights Campaign"	0.138224
"Family Research Council"	0.136831
union	0.132769
"National Council of La Raza"	0.131429
Teamsters	0.130893
"labor union"	0.127539
"International Brotherhood"	0.127373
"American Medical Association"	0.125288
"American Heart Association"	0.125177
Greenpeace	0.124199
"Planned Parenthood"	0.123875
federation	0.123721
ama	0.123257
"Handgun Control"	0.123175
"Log Cabin Republicans"	0.120294
"right to life"	0.120216
"Cuban American National Foundation"	0.118664
"American Bar Association"	0.117267
"Republican National Committee"	0.116725
"National Association of Manufacturers"	0.116379
"American Association of Retired Persons"	0.115824
"Violence Policy Center"	0.115319
"World Wildlife Fund"	0.115081
"Amnesty International"	0.114923
"American Civil Liberties Union"	0.114511
"Common Cause"	0.113995
UAW	0.113569
"Service Employees International Union"	0.113134
"Air Line Pilots Association"	0.112476
"Conservative Party"	0.111479
"Association of Flight Attendants"	0.110711
"National Association"	0.110417
"National Federation"	0.10981
"Screen Actors Guild"	0.108051
"United Auto Workers"	0.108047
"National Council of Churches"	0.108027
association	0.106661
CWA	0.106259
NEA	0.10526
"American Red Cross"	0.105194
teamster	0.104886
"American Association of Health Plans"	0.104682
"Education Department"	0.104258
"United Steelworkers"	0.104026
"Audubon Society"	0.103817
"Nahdlatul Ulama"	0.1038
"Human Rights Watch"	0.103142
"National Organization"	0.102655
"National Association of Broadcasters"	0.101892
"Handgun Control Inc."	0.101218
"Anti-Defamation League"	0.100388
"Southern Baptist Convention"	0.10027
ACLU	0.0994156
"Consumers Union"	0.0987188
"Natural Resources Defense Council"	0.0962799
"Securities Industry Association"	0.0956569
"Liberal Party"	0.0955816
"trade union"	0.0955264
"International Brotherhood of Electrical Workers"	0.0950462
"Local @@"	0.09422
"chamber of commerce"	0.0941235
"Air Transport Association"	0.0940847
"Democratic National Committee"	0.0925826
"United Way"	0.0917091
guild	0.0898628
"Recording Industry Association of America"	0.0891361
"Local @@@"	0.0890347
"American Petroleum Institute"	0.0889166
NIH	0.0887725
"Families USA"	0.0883694
"National Institutes of Health"	0.0880424
"National Academy of Sciences"	0.0879177
DNC	0.087817
"Democratic Party"	0.0877434
"Health Department"	0.0876904
"Public Citizen"	0.0872949
"Socialist Party"	0.0871326
"Rainbow/PUSH Coalition"	0.0870373
"Democratic Leadership Council"	0.0869616
"IG Metall"	0.0868046
USOC	0.0866096
"Department of Education"	0.0865266
DLC	0.0863324
"Electronic Privacy Information Center"	0.0863051
"World Jewish Congress"	0.0859558
VFW	0.08567
"Urban Institute"	0.0855963
"Independence Party"	0.0854909
PTA	0.0854252
"American Bankers Association"	0.085378
"District Council"	0.0851785
"Local @@@@"	0.085066
"World Bank"	0.0848312
"National Audubon Society"	0.0848165
"National Highway Traffic Safety Administration"	0.0844339
"Allied Pilots Association"	0.0844097
"National Republican Congressional Committee"	0.0841795
UNICEF	0.0840714
"American Cancer Society"	0.0837865
ADL	0.0836951
"Russian Space Agency"	0.0836782
"League of Women Voters"	0.0835181
Council	0.0831427
Confederation	0.0831021
"U.S. Immigration and Naturalization Service"	0.0828902
"Wine Institute"	0.0821433
CDC	0.0820677
WEF	0.081978
"Heritage Foundation"	0.0818795
"European Central Bank"	0.081576
RNC	0.0813052
"National Marine Fisheries Service"	0.0808241
"machinists union"	0.0807984
"National Alliance"	0.0806526
"World Health Organization"	0.08065
"Benevolent Association"	0.0804218
UNESCO	0.0802641
OCA	0.0800847
ABA	0.0797767
"American Jewish Committee"	0.0795534
"Council of Europe"	0.0794614
FIFA	0.0793297
"Motion Picture Association of America"	0.0792564
"Department of Health and Human Services"	0.0791729
"interest group"	0.0790343
Oxfam	0.0789139
"Cato Institute"	0.0788025
UMNO	0.0787264
"Operation Lifeline Sudan"	0.0785705
"Environmental Protection Agency"	0.0785528
"Liberal Democratic Party"	0.0784837
"Consumer Federation"	0.0777709
"American Lung Association"	0.0775053
ZCTU	0.0772299
"National Transportation Safety Board"	0.0768686
UFW	0.0768061
"Democratic Congressional Campaign Committee"	0.0767231
"labor leader"	0.0766947
"Department of Health"	0.0766715
"American Legion"	0.0765098
"Board of Elections"	0.0764712
"Reform Party"	0.0764243
"New York Civil Liberties Union"	0.0764035
"Federal Trade Commission"	0.0762853
CMA	0.0760817
"Federal Emergency Management Agency"	0.0760227
"Congressional Black Caucus"	0.075951
"Electronic Frontier Foundation"	0.0758256
"Agriculture Ministry"	0.0758235
"National Conference"	0.0757757
"Bharatiya Janata Party"	0.0754479
"International Association of Machinists"	0.074938
"International Olympic Committee"	0.0748276
SDS	0.0747802
"school board"	0.0747533
"EU Commission"	0.0743361
"Census Bureau"	0.07432
"Olympic Committee"	0.0741132
"Democratic Senatorial Campaign Committee"	0.0739775
"Urban League"	0.0738879
"College Board"	0.0738526
EBRD	0.0738228
"Iraqi National Congress"	0.0737994
"Arab League"	0.073467
"Islamic Jihad"	0.0733828
Gramm	0.0733198
UNAIDS	0.0731175
"trade association"	0.0730996
labor	0.072811
"Olympic Council of Asia"	0.0728019
FDA	0.072602
"think tank"	0.0724715
"planning commission"	0.0722708
CAF	0.0719453
"Department of Public Safety"	0.0717225
"Department of Agriculture"	0.0716015
"Jane Hull"	0.0709569
"Department of Commerce"	0.0709467
"Treasury Department"	0.0709283
"European Commission"	0.0709282
"city council"	0.0709241
"Congress Party"	0.0708688
institute	0.0707015
OSHA	0.0704634
"Immigration and Naturalization Service"	0.0703381
"Defense Agency"	0.0702178
ESCAP	0.0700453
))
(AFP (desc 5683.85) (sims
Antara	0.236827
"Agence France Presse"	0.213455
Lusa	0.196909
"Saudi Press Agency"	0.191013
Tass	0.190933
IRNA	0.188843
"Straits Times"	0.187749
Angop	0.185882
Tanjug	0.1844
"Agence France-Presse"	0.179766
Ansa	0.17941
"Kyodo News Service"	0.179303
"Egyptian Middle East News Agency"	0.173786
Bernama	0.173235
"Philippine News Agency"	0.171411
"Kathmandu Post"	0.169827
MENA	0.169249
"Press Trust of India"	0.169058
"Israel Radio"	0.167835
"Kuwait News Agency"	0.167085
"Business Times"	0.165962
"Kyodo News"	0.165594
Notimex	0.164287
Noticias	0.164172
ATA	0.163817
"Indonesian Observer"	0.163463
SAPA	0.163046
"Korean Central News Agency"	0.162981
Reuters	0.162876
Kyodo	0.161895
"Ghana News Agency"	0.161681
"British Broadcasting Corporation"	0.161332
"Associated Press of Pakistan"	0.160661
"Khaleej Times"	0.159148
PTI	0.155383
"Radio Uganda"	0.155341
"Moscow Times"	0.154336
"Zimbabwe News Agency"	0.154011
BS	0.153921
"Egyptian Gazette"	0.153302
Petra	0.152769
RSS	0.152335
Haaretz	0.151964
"Business Day"	0.150882
"News Agency of Nigeria"	0.149329
"Tehran Times"	0.14924
"Daily Times"	0.149083
Sowetan	0.147149
"United Press International"	0.146847
"South African Press Association"	0.146212
"Ethiopian News Agency"	0.145805
"Zambia News Agency"	0.14526
MTI	0.144655
"Le Monde"	0.144451
"Turkish Daily News"	0.143366
"Dow Jones Newswires"	0.143139
WAM	0.142754
"Business Weekly"	0.142118
KPL	0.14001
"Rwanda News Agency"	0.139875
"New Vision"	0.138925
"Middle East News Agency"	0.138045
"Xinhua News Agency"	0.137764
"Iraqi News Agency"	0.136967
"Thai News Agency"	0.13565
"Antara News Agency"	0.135543
Kommersant	0.134989
"Bangkok Post"	0.134762
Itar-Tass	0.134022
"Daily Star"	0.133788
"Jakarta Post"	0.131907
"Jerusalem Post"	0.131518
Anatolia	0.13119
"Southern African Broadcasting Association"	0.130621
"Jordan Times"	0.129745
APA	0.128994
"East African Standard"	0.128903
Interfax	0.128514
"Australian Associated Press"	0.127816
"Anatolia News Agency"	0.127809
"Gulf News"	0.127261
"Islamic Republic News Agency"	0.126388
"Daily Nation"	0.12616
IPC	0.124444
"Press Trust"	0.121967
INA	0.120561
"The New Vision"	0.120027
"Vietnam News"	0.118955
"Kenya Times"	0.118796
SingTel	0.118782
"South China Morning Post"	0.118745
"Athens News Agency"	0.118711
"Financial Mail"	0.117396
APP	0.115775
al-Hayat	0.115497
"Le Figaro"	0.115246
"Post Express"	0.113321
"China Daily Business Weekly"	0.112012
"U.S. Labor Department"	0.111355
"Cyprus News Agency"	0.110464
"Washington Times"	0.110255
"Bloomberg News"	0.109992
"El Pais"	0.108269
"Beijing Daily"	0.107474
"Zambia Daily Mail"	0.106861
"news agency"	0.106859
"Alam Al Yom"	0.105364
Jana	0.104922
"Vietnam News Agency"	0.104878
"The Monitor"	0.104815
"Der Spiegel"	0.104413
"Al Ahram"	0.101273
BBC	0.10119
"Ethiopian Herald"	0.10097
"New Nigerian"	0.100317
"Associated Press"	0.0977109
"Daily News"	0.0969807
"Guangming Daily"	0.0968788
"China Daily"	0.0967254
"New Straits Times"	0.0957929
"East African"	0.0946381
Malaya	0.0930564
"press agency"	0.0929498
TT	0.0924003
"U.S. Defense Department"	0.0911045
"Sydney Morning Herald"	0.0907691
KUNA	0.0907415
Hurriyet	0.0900549
"Daily Telegraph"	0.089952
"Iran News"	0.089507
"Yomiuri Shimbun"	0.0894613
"Al Hayat"	0.0893156
"Macao Daily News"	0.0892637
CNA	0.089029
"Financial Times"	0.0881727
"Seattle Times"	0.0880913
PNP	0.0879485
"National Association of Realtors"	0.0865249
Xinhua	0.0863501
"Nihon Keizai Shimbun"	0.0862955
w@@	0.0858939
"Jerusalem Media and Communication Center"	0.0856985
"Boston Herald"	0.0849229
"Washington Post"	0.0843802
"Nihon Keizai"	0.0840429
Eurostat	0.0835723
"Singapore Telecom"	0.0830931
SANDF	0.0830849
"Wall Street Journal"	0.0829092
NHK	0.0817516
"China Youth Daily"	0.0807926
Maariv	0.0805934
AP	0.0800302
"Los Angeles Times"	0.0779192
"USA TODAY"	0.077916
"Defense Agency"	0.0776856
Asahi	0.0774099
"El Mundo"	0.0772396
"Information Center"	0.0766792
"Texas Department of Public Safety"	0.0766717
Al-Ahram	0.0766024
"Daily Mail"	0.076452
Bloomberg	0.0756437
CTV	0.0738292
"Voice of America"	0.0732417
"British Broadcasting Corp."	0.0731596
ABS-CBN	0.0730743
SSB	0.0729564
Post-Intelligencer	0.072338
"Wenhui Daily"	0.0721983
"Statistics Canada"	0.072163
"news service"	0.0721032
NTV	0.0715063
IEA	0.0709705
RNA	0.0709286
"Economic Daily"	0.0706237
"New Light"	0.0703566
tribune	0.0702897
"Asahi Shimbun"	0.0701673
"Miami Herald"	0.0700876
L'Equipe	0.0698419
ad/ls	0.0692898
"U.S. Commerce Department"	0.0689334
Reforma	0.0686693
Yastrzhembsky	0.0683992
beta	0.068118
Spiegel	0.067451
"New York Times"	0.0672403
"Chicago Tribune"	0.0670966
PAP	0.0667102
"Detroit News"	0.0663109
sms/gm	0.066225
Inquirer	0.0660178
Sha	0.0652383
Cui	0.0651086
Dominion	0.0650142
CCTV	0.0650078
"Economic Planning Agency"	0.0649152
Malu	0.0643143
"Beijing Youth Daily"	0.0636393
))
(Africa (desc 135494) (sims
Asia	0.245845
"Latin America"	0.210797
Europe	0.206564
"Middle East"	0.196745
region	0.193208
"African country"	0.192021
continent	0.188179
"Southeast Asia"	0.184763
country	0.178307
"South America"	0.170373
China	0.168665
"South Africa"	0.158972
"Eastern Europe"	0.158098
"East Asia"	0.154798
"South Asia"	0.153913
"North America"	0.153376
Kenya	0.147573
"Central America"	0.147124
Tanzania	0.144664
Russia	0.142821
Mexico	0.141991
Nigeria	0.13922
Angola	0.138267
"Asian country"	0.137585
Mozambique	0.137169
Zambia	0.134759
Uganda	0.134138
"Hong Kong"	0.133685
India	0.133074
Japan	0.132981
Bangladesh	0.13186
"United States"	0.131616
"Western Europe"	0.131114
Balkans	0.130801
America	0.130274
Cambodia	0.130016
nation	0.129514
Thailand	0.129508
"West Africa"	0.129434
Indonesia	0.128794
Zimbabwe	0.128599
Colombia	0.128017
Ethiopia	0.126665
"African nation"	0.125637
Somalia	0.12559
world	0.125161
Vietnam	0.124089
Australia	0.123801
Canada	0.122626
Egypt	0.121432
Cuba	0.120152
Malaysia	0.120099
"Central Asia"	0.119715
Afghanistan	0.119377
Sudan	0.118977
Tibet	0.117359
Caribbean	0.117292
province	0.116725
"North Africa"	0.114532
Bosnia	0.114462
Brazil	0.114101
Pakistan	0.114038
Haiti	0.11354
sector	0.113438
Kosovo	0.113244
"European country"	0.113195
"Sierra Leone"	0.111725
"Far East"	0.111541
Britain	0.111445
area	0.111431
"Asian nation"	0.111162
Iran	0.111047
Oceania	0.110647
"East Africa"	0.109646
"Sri Lanka"	0.109641
Myanmar	0.109415
Taiwan	0.109268
Algeria	0.109066
"rural area"	0.108618
Philippines	0.108295
Congo	0.108047
Nepal	0.10733
Iraq	0.107234
state	0.106429
Germany	0.105538
Burundi	0.105128
France	0.10512
Ukraine	0.104844
Peru	0.10451
ASEAN	0.103464
Lebanon	0.102987
Turkey	0.102909
Singapore	0.10279
mainland	0.102394
community	0.102141
Albania	0.102055
Israel	0.101798
Honduras	0.101078
African	0.100532
Zaire	0.100421
industry	0.100152
"Persian Gulf"	0.100033
Macao	0.0994811
California	0.0994367
Romania	0.0993597
"South Korea"	0.0987514
sub-region	0.098739
"East Timor"	0.0984624
Asia-Pacific	0.0984352
Caucasus	0.098203
economy	0.098177
Poland	0.0979032
Namibia	0.0977989
"Saudi Arabia"	0.0972692
"European Union"	0.0972545
Italy	0.0968177
Cyprus	0.0967733
Rwanda	0.0963804
Nicaragua	0.0955828
DRC	0.0955596
"North Korea"	0.0952203
city	0.0949331
EU	0.0938583
Ireland	0.0937849
central	0.0933334
Venezuela	0.0919223
Yemen	0.0916986
south	0.0916935
Botswana	0.0916853
Ghana	0.0916699
Yugoslavia	0.0914709
Shanghai	0.0911289
Argentina	0.0910951
"Northern Ireland"	0.0910169
Korea	0.0909081
"Commonwealth of Independent States"	0.0907504
Bulgaria	0.0905538
Liberia	0.0904251
"New Zealand"	0.0902336
"western hemisphere"	0.0901651
"Southern Africa"	0.0901191
Chile	0.0900891
Malawi	0.0895115
BEIJING	0.0894854
"Third World"	0.0893232
"United Kingdom"	0.0892896
Mongolia	0.0889064
island	0.0886985
subcontinent	0.0886398
Chechnya	0.0885302
"Soviet Union"	0.0884186
"Central Europe"	0.0874654
Greece	0.0869639
"New York"	0.0867837
west	0.0859103
Gulf	0.0853931
Republic	0.0850982
Mideast	0.0848126
market	0.0846091
Spain	0.0845371
agriculture	0.0844959
Kingdom	0.0840161
society	0.0839955
Libya	0.0839397
Mindanao	0.0835997
Jordan	0.0829205
"Balkan country"	0.0823101
Mediterranean	0.0821129
Texas	0.0820134
Syria	0.0819357
"Central Africa"	0.0818399
Moscow	0.0817523
Washington	0.0816752
U.S.	0.0816592
"South American country"	0.0815865
"Central American country"	0.0815359
Panama	0.0814884
Ecuador	0.0813321
development	0.0808015
England	0.0807896
Switzerland	0.0806223
pacific	0.0802742
Macedonia	0.0800242
Hungary	0.0800208
Kuwait	0.0796445
Portugal	0.0795036
Bolivia	0.0786699
Xinjiang	0.0786363
Midwest	0.078387
Madagascar	0.0779451
Siberia	0.0779369
Eritrea	0.077596
Georgia	0.0775878
Guangdong	0.077575
Guatemala	0.0773307
LONDON	0.0772798
"Dominican Republic"	0.0769005
"member country"	0.0768739
Serbia	0.0768466
Kazakhstan	0.0765716
))
(African (desc 41071.1) (sims
Asian	0.156901
European	0.137081
Mexican	0.129917
"African country"	0.124699
"Latin American"	0.119307
Arab	0.117678
African-American	0.112278
Chinese	0.111661
Kenyan	0.110607
Hispanic	0.109401
American	0.108498
Filipino	0.108429
Nigerian	0.105845
"Asian country"	0.102925
"South African"	0.101525
Ugandan	0.10103
Africa	0.100532
Russian	0.100083
Iranian	0.0998463
Tanzanian	0.0989953
Vietnamese	0.0985808
"African nation"	0.098301
Indian	0.0979817
German	0.0966857
Japanese	0.0964937
foreigner	0.0962556
Indonesian	0.0955514
Latino	0.0953419
people	0.0950904
Jew	0.0949593
"European country"	0.094806
immigrant	0.0942984
black	0.0927816
Egyptian	0.0912136
Haitian	0.0907395
Lebanese	0.0906453
Ethiopian	0.0902948
Iraqi	0.0899714
Zimbabwean	0.089558
Italian	0.0893562
"native American"	0.0891274
Koreans	0.0891227
Canadian	0.0890251
Cambodian	0.0888766
citizen	0.0887326
Mozambican	0.0884115
Angolan	0.0883663
Malaysian	0.0882546
Brazilian	0.0879584
Afghan	0.0874208
Cuban	0.0871076
Kurds	0.0849717
Palestinian	0.084671
Asian-Americans	0.0844974
"Puerto Rican"	0.0844353
nation	0.0843473
Briton	0.0843057
Sudanese	0.0841357
Australian	0.0839464
christian	0.0837415
Muslim	0.0835232
"European nation"	0.0828658
community	0.0799191
Somali	0.0798839
woman	0.0795891
Tibetans	0.0792974
Israeli	0.0792145
businessmen	0.0789059
Turk	0.0788438
Romanian	0.0785605
Thai	0.0784832
Bangladeshi	0.0784741
"Central American"	0.0780595
Moroccan	0.0780416
"Asian Americans"	0.0778042
Pakistani	0.0776819
Georgian	0.0774628
Bulgarian	0.0774454
refugee	0.0774192
"American Indian"	0.0773765
Ukrainians	0.0771318
resident	0.0769845
migrant	0.0769321
Kuwaiti	0.0764094
Moslem	0.0762103
Congolese	0.0761984
westerner	0.0757628
"Sri Lankans"	0.0757375
Colombian	0.0756981
"Asian nation"	0.0755652
Californian	0.0754806
Zambian	0.0754207
Jewish	0.0751729
Swiss	0.0750308
child	0.0749949
"African Americans"	0.0749552
"member country"	0.0749231
Albanian	0.0748913
Algerian	0.0747793
farmer	0.074736
Southerner	0.0744829
minority	0.0744049
villager	0.0743229
Burundian	0.0738622
Irish	0.0733374
Jordanian	0.0732035
individual	0.0730325
Islamic	0.0727703
French	0.0727335
national	0.0727238
Greeks	0.0723475
tourist	0.0722947
"ethnic group"	0.0718269
British	0.0717517
Rwandan	0.0717476
Hungarian	0.0716959
Catholic	0.0715273
Syrian	0.0712168
Malay	0.071164
"international organization"	0.0710272
continent	0.0709992
member	0.0707548
Taiwanese	0.070565
Austrian	0.0702652
worker	0.0701694
Eritrean	0.0700583
Dominican	0.0696726
Hindu	0.0696493
Serbs	0.0695743
"college student"	0.069503
student	0.0694393
adult	0.0693863
"Southern African Development Community"	0.069241
civilian	0.0692155
athlete	0.069115
Venezuelan	0.0689305
laborer	0.0686712
"European Union"	0.0685706
Nepalese	0.0685575
Chilean	0.0683862
Caucasian	0.0681776
"Balkan country"	0.0680829
male	0.0680377
scientist	0.0674552
"people of color"	0.0674488
population	0.0670303
Aborigine	0.0670146
"South Koreans"	0.0669611
soldier	0.0669291
Texan	0.0667355
"North American"	0.0665013
local	0.0664327
Singaporean	0.0662003
Spaniard	0.0660504
orphan	0.066038
youth	0.0659228
"Central American country"	0.0659099
"North Koreans"	0.0658969
settler	0.0658328
"senior citizen"	0.0655359
Protestant	0.065349
"Kosovo Albanians"	0.0652275
Liberian	0.0648709
youngster	0.0648327
tribe	0.0647957
Asian-American	0.0646818
participant	0.064597
Caribbean	0.0645528
smoker	0.0645478
Greek	0.0643264
Asia	0.0641094
voter	0.0640685
"political party"	0.0640581
white	0.0635346
Norwegian	0.0634809
inhabitant	0.063371
Dutch	0.063354
"business community"	0.0631065
organization	0.0629845
region	0.0629382
Kosovars	0.0628409
"United States"	0.0627473
entrepreneur	0.0627324
"Sierra Leonean"	0.062631
"member nation"	0.062503
"university student"	0.0624923
family	0.0624657
Namibian	0.0622915
peasant	0.0622583
U.S.	0.0621967
investor	0.0621927
politician	0.0619018
folk	0.0618176
"South American country"	0.0616636
Buddhist	0.0616146
ASEAN	0.0615953
Peruvian	0.061542
"black man"	0.0613872
enterprise	0.061383
peacekeeper	0.0613673
))
("African American" (desc 6155.73) (sims
Asian-American	0.292624
"Asian American"	0.250351
Anglo	0.192298
Chinese-American	0.167903
"American Indian"	0.153422
nonwhite	0.150087
Mexican-American	0.149968
Hispanic	0.142494
African-American	0.14244
"native American"	0.140953
"Hispanic American"	0.135069
"Kosovar Albanian"	0.117213
Korean-American	0.115199
Italian-American	0.113808
"Asian Americans"	0.113596
Asian-Americans	0.113309
Hasidic	0.113289
"Orthodox Jewish"	0.112522
"Israeli Arab"	0.110843
Cuban-American	0.109255
Japanese-American	0.108398
"American Jewish"	0.108336
Anglos	0.107384
non-Hispanic	0.106364
Arab-American	0.104815
"African Americans"	0.103435
"Puerto Rican"	0.0981382
Latino	0.097537
minority	0.0970046
non-whites	0.0931955
female	0.0910392
Sephardic	0.0903975
"Irish Catholic"	0.0902351
"people of color"	0.0900444
Younger	0.0889845
low-income	0.0854133
non-Catholic	0.0853647
Eskimo	0.0847043
Catholic	0.0846923
Amish	0.0842261
"French Canadian"	0.0838207
Maori	0.0834649
Asian	0.0834492
"Latin American"	0.0832153
"Southern Baptist"	0.0831752
HIV-positive	0.082076
slain	0.0812528
Hmong	0.0810947
Inuit	0.0803741
christian	0.0798244
Khmer	0.0796378
Tibetan	0.0795198
first-time	0.0790665
male	0.0789323
Caucasian	0.0787523
Navajo	0.0779015
"black woman"	0.0770983
"Roman Catholic"	0.0760699
Okinawan	0.0758302
Israeli-Arab	0.0755022
"nearly @@@,@@@"	0.0754144
"Kosovo Albanian"	0.0744233
Irish	0.0735052
"working class"	0.0732484
Irish-American	0.073152
Maasai	0.0728465
"almost @,@@@"	0.0723839
Acadian	0.0718358
Korean	0.0718338
overweight	0.0716743
"mentally retarded"	0.071187
Kosovar	0.0711824
"over @@"	0.0709202
"nearly @ million"	0.0703156
Armenian	0.0701902
"Four million"	0.069705
"middle class"	0.0691315
over-@@	0.0688849
"over @.@ million"	0.0681173
college-educated	0.0680161
Coptic	0.0678533
Aggie	0.0678257
non-Jewish	0.0678098
Gay	0.0675994
"almost @@ million"	0.0673519
illiterate	0.0670525
sought-after	0.0658715
preteen	0.0656148
DEADBEAT	0.0655228
"Orthodox Christian"	0.0652042
"almost @@,@@@"	0.0651955
"drug user"	0.0651898
"more than @.@@ million"	0.0641995
"black and white"	0.0640018
"more than @@@@"	0.0639306
"black man"	0.0638671
Ijaw	0.0634567
Aborigine	0.0634558
"South Asian"	0.0631555
Mayan	0.0627114
"black person"	0.0622382
Latin	0.062227
"East German"	0.0622056
"Orthodox Jew"	0.062184
Buddhist	0.0618874
"Three hundred"	0.0613741
Hausa	0.0613716
"more than one million"	0.0611258
Croat	0.0607853
freshmen	0.06047
Danish	0.0602752
Gypsy	0.0601798
drinker	0.0598216
"nearly @@ million"	0.0598012
"elected official"	0.05972
"roughly @@@"	0.0594255
dropout	0.0593369
Latina	0.0588465
Muslim	0.0586939
Baptist	0.0581921
"more than four million"	0.0581516
homosexual	0.0579287
expatriate	0.0578846
"Western European"	0.0578654
Mormon	0.0577841
undergraduate	0.0576707
"Black Panther"	0.0576311
"more than @@ million"	0.0575219
forgotten	0.0573852
"North American"	0.0573663
learner	0.0573245
"first pitcher"	0.0570516
"altar boy"	0.0569976
Polynesian	0.0569865
"South Korean"	0.0568639
septuagenarian	0.0568631
"up to @,@@@"	0.056857
Druse	0.0565795
absentee	0.0564826
"North African"	0.0564012
"over @.@@ million"	0.0563174
"more than @,@@@"	0.0560534
"roughly @@@,@@@"	0.0560132
ultra-Orthodox	0.055989
"nearly @,@@@"	0.0558837
highschool	0.0558185
Haitian	0.0555963
"nearly @@@"	0.0555796
"about three"	0.0555754
"Eastern European"	0.0555559
"three million"	0.0555019
"Greek Cypriot"	0.055289
"Over one million"	0.0552316
peasant	0.0545157
"eight million"	0.0544999
"two dozen"	0.0543795
"nearly @@,@@@"	0.0543167
"union member"	0.0542575
"important person"	0.05409
pinup	0.0539732
"Nearly @.@ million"	0.0536764
"five million"	0.0534848
Makah	0.0534722
"six million"	0.0533419
"over @@ million"	0.0532877
"another @@@,@@@"	0.0531392
postgraduate	0.0530976
"fourth generation"	0.0530449
"About @,@@@"	0.0529357
"One Million"	0.052922
Arab	0.0528261
"More than three million"	0.0526536
Hungarian	0.0526476
officeholder	0.0526442
"over @,@@@"	0.0525677
hippie	0.0524695
"about @ million"	0.0523626
"about two"	0.0523323
"roughly @,@@@"	0.052322
techie	0.052309
"electrical engineer"	0.0522876
schizophrenic	0.0519898
Mennonite	0.0516613
"South African"	0.0515431
diabetic	0.051512
ranching	0.0514535
"two million"	0.0514123
abolitionist	0.0513534
"more than @@@,@@@"	0.0513334
Negro	0.0512786
Kashmiri	0.0512533
"more than @@@ million"	0.0508411
Southerner	0.0507963
Libertarian	0.0507501
"about @@@"	0.0507027
missionary	0.0506903
pro-life	0.0506839
Quaker	0.0505719
"almost @ million"	0.0505446
Filipino	0.050537
))
("African Americans" (desc 10115) (sims
African-American	0.191322
"Asian Americans"	0.188292
Asian-Americans	0.168603
Hispanic	0.161843
Anglos	0.157906
Latino	0.156325
black	0.136684
"people of color"	0.131806
"American Indian"	0.10347
"African American"	0.103435
minority	0.100425
Asian	0.100295
"native American"	0.0987617
Asian-American	0.0898843
"union member"	0.0864046
Italian-Americans	0.0857491
Tibetans	0.0855327
nonwhites	0.0848805
Mexican	0.0829456
Mexican-Americans	0.082081
Caucasian	0.0818549
voter	0.0814114
Jew	0.0802862
Gay	0.0801855
"black woman"	0.0785358
Beijingers	0.0781967
non-whites	0.0764284
"American Jews"	0.0755526
"drug user"	0.0750507
African	0.0749552
"senior citizen"	0.0749438
Filipino	0.0743472
"Israeli Arabs"	0.0728123
Chinese-Indonesians	0.0725316
female	0.0713542
Southerner	0.0712153
Haitian	0.0710571
"white woman"	0.0708652
"British people"	0.0695559
"Asian American"	0.0693389
Chinese-Americans	0.0693229
immigrant	0.0693075
illiterate	0.0688909
Atlantans	0.0686741
lesbian	0.0686353
dweller	0.0684142
Quebecers	0.0683035
"Puerto Rican"	0.0680017
pensioner	0.0669657
"black man"	0.0667317
unemployed	0.0665411
Jordanian	0.0657365
Muscovite	0.065318
noncitizens	0.0651046
Catholic	0.0649267
elderly	0.0645915
Cuban-Americans	0.0644866
affluent	0.0629736
"Hispanic American"	0.0625899
male	0.0623282
Bostonians	0.062258
"Orthodox Jews"	0.0622236
Californian	0.062191
"married woman"	0.0615858
"college student"	0.0614563
Koreans	0.0614361
"AIDS patient"	0.0614063
"drug addict"	0.0611589
christian	0.0610323
Texan	0.0609499
disabled	0.0607894
Buddhist	0.0606954
smoker	0.0606842
Missourian	0.0605702
homosexual	0.0604153
"home buyer"	0.0604051
"foster child"	0.0603491
Jewish	0.0602662
low-income	0.0602485
"elected official"	0.0600831
Anglo	0.0595146
"San Franciscans"	0.0594451
urbanites	0.0593569
Navajos	0.0589914
"Latin American"	0.0588002
retiree	0.058659
officeholder	0.0585424
Aborigine	0.058451
registrant	0.0578893
Nigerian	0.0577925
liberal	0.0576776
Colombian	0.0576193
mainlanders	0.0573107
laborer	0.0572129
Protestant	0.0571983
"New York Democrats"	0.0571145
Floridian	0.0570643
westerner	0.057058
Greeks	0.0569344
"farm worker"	0.0569055
part-timer	0.0565774
Indonesian	0.0563997
laid-offs	0.0563369
"Shiite Muslims"	0.0562035
job-seekers	0.0561708
Gypsy	0.0561553
aged	0.0559815
"faculty member"	0.0559517
"New Jerseyans"	0.0559426
Pakistani	0.0557923
Minnesotan	0.0557469
Kenyan	0.0556979
feminist	0.0556198
Briton	0.0552903
"blood donor"	0.055122
"wage earner"	0.0550948
suburbanite	0.0548324
diabetic	0.0548277
homebuyers	0.0547236
evangelicals	0.0546783
Australian	0.0544865
"South Carolinian"	0.0544507
"New York Republicans"	0.0543117
enlistee	0.0543032
"union worker"	0.0542723
Muslim	0.0542312
"Southern Baptists"	0.0542061
"Roman Catholic"	0.0541587
dropout	0.0539857
Uighurs	0.0538122
sufferer	0.0536544
teens	0.0536238
uninsured	0.0533029
Arab	0.0531823
Cambodian	0.0528795
Baptists	0.0525382
"New Englander"	0.0524814
freshmen	0.052348
Englishmen	0.0522421
"business traveler"	0.0522347
"church member"	0.052176
applicant	0.0517323
Moslem	0.0516535
newcomer	0.0515474
drinker	0.0514912
"New Zealander"	0.0514778
Iranian	0.0513558
Frenchmen	0.0513272
"New Yorker"	0.0511864
intellectual	0.0511618
"North Africans"	0.0510104
eighth-graders	0.0509311
returnees	0.0508947
Vermonter	0.0508838
transnationals	0.0508747
adolescent	0.0508731
"South African"	0.050865
Cuban	0.0507809
Taiwanese	0.050712
"ethnic group"	0.0506494
Ukrainians	0.0506311
Vietnamese	0.05051
Turk	0.0505021
Mozambican	0.0502104
non-Jew	0.0501206
homeless	0.0500132
Hindu	0.0499261
Fijian	0.049924
teen-ager	0.0498949
renter	0.0498777
recipient	0.0497546
Canadian	0.0497326
Chicagoans	0.0497038
Algerian	0.0495361
Hungarian	0.0495265
centenarian	0.0494229
firsts	0.049414
Afrikaner	0.0493669
Zambian	0.0491337
respondent	0.0489485
homeowner	0.0489183
"white man"	0.0489172
"trade unionist"	0.0489039
Basques	0.0487471
"Cuban Americans"	0.0485358
Sinhalese	0.0484658
drownings	0.0483047
"baby boomer"	0.048303
"Sri Lankans"	0.0482647
policyholder	0.0482593
youngster	0.0482455
Hawaiians	0.0481718
newborns	0.0480354
businesswomen	0.047948
Thai	0.0479254
Georgian	0.0479076
foreigner	0.0478202
Tamil	0.0477777
Montenegrins	0.0477291
Malay	0.0477091
))
("African country" (desc 84203.5) (sims
"African nation"	0.274071
country	0.224715
"Asian country"	0.204956
Zambia	0.202986
Tanzania	0.195701
Uganda	0.193163
Mozambique	0.193133
Africa	0.192021
Angola	0.191355
Kenya	0.183384
Ethiopia	0.181286
Zimbabwe	0.179337
"Asian nation"	0.176008
Nigeria	0.175663
Bangladesh	0.169019
Burundi	0.167393
"European country"	0.166527
region	0.164951
"Sierra Leone"	0.163616
"member country"	0.163435
DRC	0.162691
Cambodia	0.162606
nation	0.162313
Algeria	0.152926
"Balkan country"	0.152727
"South Africa"	0.152596
Sudan	0.151905
Congo	0.15138
Namibia	0.149991
Zaire	0.149283
China	0.148949
Egypt	0.148502
Rwanda	0.147042
Indonesia	0.146085
Liberia	0.144342
"European nation"	0.14296
Pakistan	0.141694
"Democratic Republic of Congo"	0.139751
"Democratic Republic of the Congo"	0.139638
"Central American country"	0.139387
Nepal	0.139204
Somalia	0.139018
province	0.139009
"Sri Lanka"	0.137866
Ghana	0.134071
Thailand	0.133773
Myanmar	0.133686
"South American country"	0.133149
Afghanistan	0.130882
continent	0.130498
Republic	0.13019
Iran	0.129382
Kingdom	0.129138
Malaysia	0.12886
Malawi	0.12884
Vietnam	0.128343
Botswana	0.127894
Yemen	0.127621
state	0.127616
Russia	0.126777
Philippines	0.126102
India	0.125604
Ukraine	0.125445
"Democratic Republic"	0.125096
African	0.124699
Colombia	0.12267
Mongolia	0.121883
Lebanon	0.121467
Libya	0.12019
Turkey	0.119758
"United States"	0.11955
"Southern African Development Community"	0.118916
sector	0.118742
Peru	0.118271
Nicaragua	0.117177
"European Union"	0.116935
Albania	0.116718
Lesotho	0.116683
"Saudi Arabia"	0.11534
Iraq	0.114542
Asia	0.114123
Niger	0.113646
"Latin America"	0.113048
Mali	0.11262
Guinea-Bissau	0.111816
Bulgaria	0.111759
"Hong Kong"	0.110894
Eritrea	0.110888
Romania	0.110765
Israel	0.110431
Bosnia	0.110384
EU	0.110264
Japan	0.110132
Benin	0.109945
Yugoslavia	0.109308
"East Timor"	0.108741
community	0.10873
Syria	0.108651
Cyprus	0.108067
Tibet	0.107554
Tajikistan	0.10739
Britain	0.107243
Laos	0.10712
Europe	0.107015
ASEAN	0.106943
Venezuela	0.105712
"Middle East"	0.105364
Mexico	0.10466
Haiti	0.104419
Senegal	0.104019
Singapore	0.10382
government	0.103701
OAU	0.103649
DPRK	0.103363
Poland	0.102994
Swaziland	0.102988
Djibouti	0.101987
"member nation"	0.101817
"Central America"	0.101786
Kazakhstan	0.101538
Madagascar	0.101474
Tunisia	0.101271
Kyrgyzstan	0.101254
Brazil	0.101222
Comoros	0.101009
"South Korea"	0.100791
"rural area"	0.100293
Togo	0.100223
colony	0.100132
Kuwait	0.099993
area	0.0999498
Cameroun	0.099717
Chad	0.0993341
France	0.0990402
Cuba	0.0989324
Taiwan	0.0984341
Greece	0.0984006
"Guinea Bissau"	0.0982567
mainland	0.0977477
"South Asia"	0.0976193
Argentina	0.0973683
Bosnia-Herzegovina	0.0972228
"East Asia"	0.097219
"United Nations"	0.0967666
Guinea	0.0965458
Mindanao	0.0961621
Macao	0.095822
"North Korea"	0.0957584
sub-region	0.0955429
Gabon	0.0955023
Armenia	0.0952421
Ecuador	0.095149
Bolivia	0.0950546
enterprise	0.0948458
Australia	0.0948374
"Southeast Asia"	0.0948237
"international organization"	0.0947649
Guatemala	0.0936607
city	0.0934656
Kosovo	0.0933976
Moldova	0.0932968
Honduras	0.0927379
Panama	0.0927321
"Democratic People's Republic of Korea"	0.0926337
Canada	0.0923011
"Northern Ireland"	0.0921003
Mauritius	0.0916165
Hungary	0.0914961
"Association of Southeast Asian Nations"	0.0913525
neighbor	0.0911792
"political party"	0.0911198
U.S.	0.0911173
"South American nation"	0.0910564
Balkans	0.0907628
Fiji	0.09052
Brunei	0.0903771
"Central African Republic"	0.089942
Chile	0.0898546
"Ivory Coast"	0.0895999
"Organization of African Unity"	0.08939
Germany	0.0892464
Oman	0.0891558
UAE	0.0888524
Mauritania	0.088512
"local government"	0.0883908
locality	0.0881624
Jordan	0.0878488
institution	0.0878346
Guangdong	0.0876855
Portugal	0.0876573
"United Kingdom"	0.0876433
Bahrain	0.0875837
"Republic of Korea"	0.0871787
organization	0.087108
"Democratic Congo"	0.087066
district	0.0870444
"United Arab Emirates"	0.0870031
Belarus	0.086983
"Republic of Congo"	0.0868666
county	0.0868272
))
("African Cup" (desc 2013.92) (sims
"African Nations Cup"	0.272022
"Asian Cup"	0.21908
"Confederations Cup"	0.147858
"World Group"	0.146504
"Libertadores Cup"	0.141489
"Copa America"	0.137115
"Little League World Series"	0.13284
"European Champions League"	0.132717
"European Championship"	0.131036
"Japan Open"	0.130515
"European Champions Cup"	0.130423
"Hamlet Cup"	0.129115
"Davis Cup World Group"	0.128972
"Thomas Cup"	0.128925
"Nations Cup"	0.12741
"Euro @@@@"	0.126514
"National Invitation Tournament"	0.123644
"Champions Cup"	0.123062
"Canadian Open"	0.121989
"Kremlin Cup"	0.121603
"Hong Kong Open"	0.120703
"European Cup"	0.11709
"Federation Cup"	0.115185
"German Open"	0.113773
"Grand Slam Cup"	0.113369
"Champions League"	0.112756
"Fed Cup"	0.112128
"Stockholm Open"	0.111928
"ATP Championship"	0.110304
"Big Sky Conference"	0.109026
CONCACAF	0.107961
"Group @"	0.107664
"Western Athletic Conference"	0.107637
"Acura Classic"	0.106921
"Uber Cup"	0.106549
"Italian Cup"	0.105537
"UEFA Cup"	0.105531
"World Petroleum Congress"	0.105306
"U.S. Amateur"	0.10445
"Gold Cup"	0.103135
"field hockey"	0.102138
"AFC West"	0.0989427
"European Championships"	0.0981468
Asiad	0.096088
"F.A Cup"	0.0950786
"Italian Open"	0.0948287
"Paris Open"	0.0942308
"Nissan Open"	0.093653
"Hopman Cup"	0.0930773
IGC	0.0930637
"Italian League"	0.0924536
"Western Open"	0.0909908
"ATP Tour World Championship"	0.0906334
"Consultative Group"	0.0900411
"Louis Vuitton Cup"	0.0892366
Maurier	0.0891008
"US Open"	0.088097
"Conference USA"	0.0879705
"U.S. Senior Open"	0.0876203
"AFC Central"	0.087425
"Southeast Asian Games"	0.0873545
"World Conference"	0.0872427
"Ministerial Conference"	0.0868813
"World University Games"	0.086772
"League Cup"	0.0861695
"United States Open"	0.0857865
"round robin"	0.0852873
"Maurier Open"	0.0841171
"won seven"	0.0836248
"MLS Cup"	0.0820239
Universiade	0.0812257
"ASEAN Ministerial Meeting"	0.0808434
tourney	0.0802518
"NFC East"	0.0800185
"Big West"	0.07958
"Dunhill Cup"	0.0779807
"Lipton Championships"	0.0778214
"won eight"	0.0765783
"cup final"	0.0764773
"World Team Cup"	0.076132
"NFC West"	0.0753318
"won four"	0.0745658
"Cup Winners Cup"	0.0740445
"Australian Open"	0.0737979
"Davis Cup"	0.073218
"Basketball Championship"	0.0728992
"Chase Championships"	0.0726106
AMM	0.0725182
"Swiss Open"	0.0719815
"won six"	0.0719579
"International AIDS Conference"	0.071803
"College World Series"	0.0717654
under-@@	0.0714157
WAC	0.0713513
"first point"	0.0711417
"Southwest Conference"	0.0711351
"World AIDS Conference"	0.0710863
"Volleyball Grand Prix"	0.0707459
"French Open"	0.0704346
"NFC Central"	0.0703516
WCC	0.0697359
"Premier League"	0.0693321
"Asian Games"	0.0693199
"Southeastern Conference"	0.0690004
"Summer Olympic Games"	0.0686319
"Phoenix Open"	0.0681223
"High Commission"	0.0677797
"FA Cup"	0.0674805
EuroLeague	0.0673614
backstroke	0.0672299
nit	0.0671626
"Atlantic Coast Conference"	0.0669304
"American League West"	0.0669201
tie-break	0.0667447
"Atlanta Olympic Games"	0.0661659
"won three"	0.0660223
"American League East"	0.0656124
"first five days"	0.0653694
"Pepsi @@@"	0.065094
"NCAA Tournament"	0.0648091
mini-summit	0.0647884
"English Premier League"	0.0647634
"day game"	0.0644562
pre-Olympic	0.0644391
"World Basketball Championship"	0.0644369
"Sydney Olympic"	0.0644323
"ATP Tour"	0.0640063
"Sydney Olympic Games"	0.0639641
"National Party Congress"	0.0638791
"West Regional"	0.0638458
"Midwest Regional"	0.0637916
inaugural	0.0636861
"Summer Olympics"	0.0636338
"Dinah Shore"	0.0633859
Olympiad	0.0632809
pentathlon	0.0632541
"Boston Marathon"	0.0630186
"National Games"	0.0623882
"Commonwealth Games"	0.0623525
hardcourt	0.062308
"Chinese Basketball League"	0.0622181
"Big Sky"	0.0620434
nightcap	0.0617326
PBA	0.0615452
Lipton	0.0614408
"Group A."	0.0612118
"Funny Car"	0.0611063
"SEA Games"	0.0611051
CAA	0.0610999
"Western Conference"	0.0609868
"basketball season"	0.060811
"Pan American Games"	0.0600792
"Ministerial Meeting"	0.0595471
"Loch Lomond"	0.0593302
"Big East"	0.0592113
Giro	0.0590643
decathlon	0.0589576
"Olympic Winter Games"	0.058901
Serie	0.058785
"Wimbledon Tennis Championships"	0.0586302
Bundesliga	0.0585873
"Winter Olympic Games"	0.0584421
"National League West"	0.0582806
Bakassi	0.0579936
regionals	0.0578583
"major league season"	0.0577664
hosting	0.0574628
"Eastern Division"	0.0573197
"New York City Marathon"	0.0571935
tune-up	0.0571194
"World Food Summit"	0.0571026
"London Marathon"	0.0570672
"Pan Am Games"	0.0569416
"Senior Bowl"	0.0568532
Pacific-@@	0.0565582
"semi- finals"	0.0565111
"East Asian Games"	0.0563879
by-elections	0.0563541
"AL Central"	0.0562647
"Asian Football Confederation"	0.0561262
"first five"	0.0559932
"National League Central"	0.0559929
volleyball	0.0558134
breaststroke	0.0556686
"Buick Invitational"	0.0554544
"first five minutes"	0.0553247
tiebreak	0.0552357
"won five"	0.0551775
"basketball league"	0.0551554
"Sydney Olympics"	0.0549748
"won @@"	0.0547844
"ice hockey"	0.054769
"Pan Pacific"	0.0542841
Leipzig	0.0541916
"AFC East"	0.0541585
"Mastercard Colonial"	0.0541546
multiplayer	0.0540728
"World League"	0.0540451
"Bangkok Asian Games"	0.0540168
"Japanese Grand Prix"	0.0536844
))
("African Development Bank" (desc 3692.38) (sims
"European Investment Bank"	0.2656
"United Nations Development Program"	0.236761
"Inter-American Development Bank"	0.232237
"Asian Development Bank"	0.220453
"Overseas Economic Cooperation Fund"	0.207233
"European Bank for Reconstruction"	0.20223
"World Bank"	0.179826
"United Nations Industrial Development Organization"	0.176314
"International Development Association"	0.17407
"United Nations Children's Fund"	0.173514
"United Nations Population Fund"	0.170038
"Interamerican Development Bank"	0.166208
"International Finance Corporation"	0.161653
ADB	0.158413
IDB	0.151867
"World Food Program"	0.146368
EBRD	0.143794
"Food and Agriculture Organization"	0.139279
"financial organization"	0.138185
"U.N. Development Program"	0.13727
UNDP	0.13717
"International Monetary Fund"	0.133166
"Global Environment Facility"	0.131907
"United Nations High Commissioner for Refugees"	0.131906
"State Development Bank"	0.131424
"United Nations High Commission for Refugees"	0.130212
"Canadian International Development Agency"	0.129956
"Southern Africa Development Community"	0.12844
"World Health Organization"	0.124684
"Export-Import Bank"	0.123557
"United Nations Educational, Scientific and Cultural Organization"	0.122553
"UN agency"	0.12168
"lending institution"	0.120919
"Economic Commission for Africa"	0.119895
"Organization of African Unity"	0.119175
Eximbank	0.117386
"Agency for International Development"	0.116759
"U.S. Export-Import Bank"	0.116072
"Southern African Development Community"	0.115622
"International Labor Organization"	0.11246
"Islamic Development Bank"	0.111504
"Organization for Economic Cooperation and Development"	0.109255
"United Nations agency"	0.107775
"U.N. Environment Program"	0.105424
"World Intellectual Property Organization"	0.104712
"international organization"	0.103705
"Paris Club"	0.103502
"International Fund"	0.102906
"U.N. agencies"	0.102841
"Common Market for Eastern and Southern Africa"	0.102584
"European Commission"	0.101323
"United Nations Conference on Trade and Development"	0.0992207
"Small Business Administration"	0.0986591
"United Nations Environment Program"	0.0979076
"African Economic Community"	0.0978158
"Joint Military Commission"	0.0972436
"National Science Foundation"	0.0957884
"Shanghai Branch"	0.0955765
"China National Tourism Administration"	0.095352
"Ford Foundation"	0.0933978
"Council of Europe"	0.0907744
"U.N. High Commissioner for Refugees"	0.0899188
"European Community"	0.0886208
"International Criminal Tribunal for Rwanda"	0.0885559
"Ministry of Internal Trade"	0.0883507
"monetary fund"	0.0873086
IFC	0.0867963
IMF	0.0847685
"U.S. Treasury"	0.0846777
"Arab League"	0.0832515
"Ministry of Forestry"	0.082981
"United Nations Educational"	0.0825878
"United States government"	0.0816472
Ida	0.0804179
"Australian Olympic Committee"	0.0802917
"Thai Commerce Ministry"	0.0792238
UNHCR	0.0790446
"financial institution"	0.0781172
"International Committee"	0.0780347
"Salim Ahmed Salim"	0.0779104
"National Abortion and Reproductive Rights Action League"	0.0777585
"International Committee of Red Cross"	0.0769651
"Central Bank of Kenya"	0.0769336
OECD	0.0768003
"Independent Electoral Commission"	0.0764486
"World Wildlife Fund"	0.0764286
"Economic Community of West African States"	0.0759568
Ghanaian	0.0758237
UNICEF	0.0755911
"Organization of Islamic Conference"	0.075451
"Hong Kong Tourist Association"	0.0752997
"General Administration of Customs"	0.0752137
"Federal Emergency Management Agency"	0.0751851
"China Council"	0.0751109
"National Tourism Administration"	0.0749264
"Central Bank of Nigeria"	0.0749049
UNAIDS	0.074728
"Ministry of Finance"	0.0743249
USAID	0.0739446
SDB	0.0739396
UNESCO	0.0736585
"British government"	0.0735803
"Ministry of Health"	0.0731569
ECA	0.0719956
"Xinhua News Agency Hong Kong Branch"	0.0719159
"commercial bank"	0.0715474
"Group of Seven"	0.0713364
"municipal government"	0.0710954
"Organization of American States"	0.0710729
"local government"	0.070978
"State Development Planning Commission"	0.070749
"Tourism Authority of Thailand"	0.0703218
"Kaiser Family Foundation"	0.0701541
"Non-Aligned Movement"	0.0700337
"Rotary International"	0.0698539
"Inter-Governmental Authority on Development"	0.0698166
"World Meteorological Organization"	0.0696458
"Ministry of Railways"	0.0694936
"European Council"	0.0689658
"State Administration of Internal Trade"	0.0684346
"International Federation"	0.0677857
WIPO	0.067778
"China Society"	0.067573
"World Bank Group"	0.0675118
"International Red Cross"	0.0673515
"Civil Aviation Administration of China"	0.0673158
"Bank of Japan"	0.0673119
WFP	0.0665338
"Organisation of African Unity"	0.065952
SADC	0.0658658
"China National Petroleum Corporation"	0.0658484
"College Board"	0.0658211
"Philippine Central Bank"	0.0654694
lender	0.0653467
"Ministry of Foreign Trade"	0.0653129
"Republican Leadership Council"	0.0652695
"EU Commission"	0.0651727
"Bank of China"	0.0650531
"World Tourism Organization"	0.064868
"Joint Commission"	0.0641586
"World Jewish Congress"	0.0641192
CAS	0.0637335
Malawian	0.0635346
"National Cancer Institute"	0.0632299
EC	0.0630617
"American Heart Association"	0.0627877
ICBC	0.0626736
Namibian	0.0625026
"American Association"	0.0622673
"Information Office"	0.062112
BOC	0.0621083
UNIDO	0.0621035
HKMA	0.0620909
"Ministry of Civil Affairs"	0.062042
"Hong Kong Trade Development Council"	0.0619383
ILO	0.0617545
"Red Cross Society"	0.0617046
"Chinese Society"	0.0615245
"United Nations Security Council"	0.0614479
OAU	0.0613482
"Ministry of Labor"	0.0609399
"private corporation"	0.0607467
"Education Department"	0.0607292
"Ministry of Science"	0.0606906
"U.S. Information Agency"	0.060581
"Ministry of Education"	0.0605009
"Department of Trade and Industry"	0.060298
UNFPA	0.0601553
"American Petroleum Institute"	0.0600978
"Bank for International Settlements"	0.059898
"State Administration of Cultural Heritage"	0.0597461
"Families USA"	0.0595398
"non-governmental organizations"	0.0594933
"Central Bureau of Statistics"	0.0593834
"private foundation"	0.0592388
"Bank of Thailand"	0.059211
"Ministry of International Trade and Industry"	0.0591001
"People's Bank of China"	0.0589257
"State Bank of Pakistan"	0.058588
"China Securities Regulatory Commission"	0.0584721
"Economic Community"	0.0584711
"Bank of Uganda"	0.0584595
"Economic and Social Council"	0.0583358
CCB	0.0582763
"League of Women Voters"	0.0580593
stakeholder	0.0579998
"U.S. Environmental Protection Agency"	0.0579551
"Ministry of Tourism"	0.0577063
"Ministry of Water Resources"	0.057548
"East African Cooperation"	0.0572972
Liberian	0.0572959
UNCTAD	0.0571403
"Bangkok Bank"	0.0570482
"Ministry of Construction"	0.0570118
Tanzanian	0.0569541
BOI	0.0565908
"Motion Picture Association of America"	0.0565368
"regulatory agency"	0.0564912
OSCE	0.0564209
"Department of Commerce"	0.0563429
))
("African Economic Community" (desc 1257.79) (sims
"African Union"	0.192052
"Inter-Governmental Authority on Development"	0.188045
AEC	0.169412
FTAA	0.167091
"international criminal court"	0.163074
"Economic Commission for Africa"	0.154636
AFTA	0.154256
"Free Trade Area"	0.145916
"Non-Aligned Movement"	0.142125
"customs union"	0.136569
"Economic Community"	0.134556
"ASEAN Free Trade Area"	0.133978
"Economic Community of West African States"	0.130327
"Market system"	0.127224
"Common Market"	0.118139
"Southern African Development Community"	0.114176
"Group of @@"	0.112923
UNIDO	0.110583
"South Asian Association for Regional Cooperation"	0.109771
"Southern Africa Development Community"	0.107702
taskforce	0.104225
"East African Community"	0.102012
Ulema	0.101627
EPZ	0.10051
"Central Organ"	0.10041
"Joint Military Commission"	0.0984742
"Organization of Islamic Conference"	0.0979096
"African Development Bank"	0.0978158
UNMOVIC	0.0961553
FTA	0.0953276
"Turkish Republic"	0.0949259
"monitoring program"	0.0947242
"military commission"	0.0942975
SADC	0.0937266
UNTAET	0.0934607
"Provisional Legislative Council"	0.0929842
"credit system"	0.0916952
broad-based	0.0912457
IGAD	0.0909948
D-@	0.0904232
G-@@	0.0903772
"Salim Ahmed Salim"	0.0903673
"SAR Government"	0.0899164
multi-ethnic	0.0898035
"China Democracy Party"	0.0897415
"Common Market for Eastern and Southern Africa"	0.0892906
"language school"	0.0892036
ECOWAS	0.0885756
CMA	0.0879735
"Group of Rio"	0.0870443
"League of Nations"	0.0866227
EAC	0.0863845
"endowment fund"	0.0855221
"United Republic of Tanzania"	0.0852207
SAARC	0.0845414
"World Intellectual Property Organization"	0.0840328
"work group"	0.0834301
"security system"	0.0813809
"Kosovo Verification Mission"	0.081133
"HKSAR Government"	0.0807706
"Stability Pact"	0.0802696
"East African Cooperation"	0.0802594
"steering committee"	0.0800642
"early warning system"	0.0794336
homepages	0.0793397
"parliamentary democracy"	0.0788207
EPZs	0.0787582
NAM	0.0786942
"investment company"	0.0785525
"Ethics Commission"	0.0782932
"Free Trade Agreement"	0.0781085
"free zone"	0.0773859
"Human Rights Commission"	0.0772353
databank	0.0759104
"market economy"	0.0759044
"Vision @@@@"	0.0758702
"Rio Group"	0.075458
joint-ventures	0.0754431
sub-branches	0.075406
COMESA	0.0737672
JMC	0.0731459
"Organization of African Unity"	0.0729915
"Economic Cooperation Organization"	0.0729213
"Inter-Parliamentary Union"	0.0728983
"pilot program"	0.0727872
"United Nations Security Council"	0.0727826
SEZs	0.0727226
smelter	0.0725859
"Selection Committee"	0.0725509
"National Thoroughbred Racing Association"	0.0724798
ICC	0.0721621
protectorate	0.0707688
China-U.S.	0.069676
"development center"	0.0691927
"Commonwealth of Independent States"	0.0688843
"sales outlet"	0.0686533
Mercosur	0.068572
"surveillance system"	0.0684886
"National Security Council"	0.0683658
sub-regional	0.0669145
"trading post"	0.0666228
"Export Processing Zones"	0.0666039
UNCTAD	0.0664174
"political movement"	0.0664009
"Universal Postal Union"	0.0661438
NSC	0.0659173
"criminal court"	0.0658794
"business relation"	0.065732
"Organisation of African Unity"	0.0652047
"United Nations High Commissioner for Refugees"	0.0649434
"Court of Final Appeal"	0.0649002
OIC	0.0640724
"South Pacific Forum"	0.0640673
Consulate-General	0.0639102
"ice crystal"	0.0636563
"Royal Government"	0.0626506
"defense system"	0.0626489
"stock company"	0.0626412
"communication network"	0.0625695
"Uruguay Round"	0.0619037
"Marshall Plan"	0.0619035
"Election Committee"	0.0608538
UNPREDEP	0.0607772
"Self-Defense Forces"	0.060391
"legislative council"	0.0601984
"HK SAR"	0.0601109
"sphere of influence"	0.0599637
"pressure group"	0.0597744
GCC	0.059495
"communications network"	0.0592832
KEDO	0.0592262
Kurdistan	0.0591464
"investment fund"	0.0591398
"Everglades National Park"	0.059065
"private corporation"	0.0587126
"Andean Group"	0.0586094
"private foundation"	0.0585912
SPDC	0.0583903
CMAG	0.0581474
AMC	0.0581307
"distribution network"	0.0579619
"U.N. Resolution @@@"	0.0577639
"Special Administrative Region"	0.0576996
U.N	0.0575393
fiefdom	0.0574063
"chief of state"	0.0574059
"joint-stock company"	0.0573682
plc	0.0572089
"trading system"	0.0571255
gallstone	0.0570994
"first school"	0.0569741
"production facility"	0.0566586
"ethics committee"	0.0563873
"hot line"	0.0557949
UNRWA	0.0554454
"Arab Parliamentary Union"	0.0553116
"support system"	0.0552657
ICTR	0.0552325
self-rule	0.0549762
"investment trust"	0.054942
"Plan Colombia"	0.0548474
"social contract"	0.0545556
"International Criminal Tribunal"	0.0541313
"International Committee of Red Cross"	0.0540253
"Turkish Republic of Northern Cyprus"	0.0539773
Nunavut	0.0539523
interagency	0.0537703
"Lusaka Protocol"	0.0536184
"Business Council"	0.0535553
"Strategic Petroleum Reserve"	0.0535148
"regulatory agency"	0.0533185
Ife	0.0532954
"U.N. High Commissioner for Refugees"	0.0529219
oil-for-food	0.0529095
UNIFIL	0.052893
"law practice"	0.0527843
"point system"	0.0527646
"Radio Free Asia"	0.0524977
"art school"	0.0524054
"regular army"	0.0523741
"World Environment Day"	0.0522201
"Joint Commission"	0.0521708
"Super League"	0.0521269
government-in-exile	0.0521251
"Provisional Urban Council"	0.0520824
good-neighborly	0.0519801
"United Nations Educational, Scientific and Cultural Organization"	0.0519048
"branch office"	0.0515254
"Chemical Weapons Convention"	0.0515001
Hotlines	0.0514918
Americas	0.0514003
"market order"	0.0513756
"National Gambling Impact Study Commission"	0.05121
"Nationality Law"	0.0511964
"personal relation"	0.0511678
"control board"	0.0510898
UNFICYP	0.0510192
"reserve fund"	0.050752
"Constitutional Assembly"	0.0507023
"ballet company"	0.0504333
))
("African elephant" (desc 2293.42) (sims
elephant	0.158632
rhino	0.136676
panda	0.133942
"elephant population"	0.130802
giraffe	0.127646
"giant panda"	0.123242
rhinoceros	0.11466
"test-tube baby"	0.1129
orangutan	0.112147
"Bengal tiger"	0.111717
"sperm whale"	0.10824
chimpanzee	0.104731
ibis	0.102074
Macaque	0.0994355
"wild horse"	0.095158
"dairy cow"	0.0920566
vaulter	0.0872181
"right whale"	0.0866609
Condor	0.085378
chimp	0.0852078
quadruplet	0.0838972
gorilla	0.080078
triplet	0.0776924
septuplets	0.0758261
antelope	0.0756932
examinees	0.0744649
"minke whale"	0.0744627
"rare bird"	0.0730779
"foster child"	0.0729333
hippo	0.0720945
"black bear"	0.0719763
deer	0.0704753
moose	0.0697201
vertebrate	0.0684859
oxen	0.0681733
zebra	0.0678521
monkey	0.0678319
crocodile	0.0677913
octuplets	0.067538
elk	0.0670918
"polar bear"	0.0663185
Salvadoran	0.0662923
midshipmen	0.0646988
"shipwreck survivor"	0.0646054
"sea turtle"	0.0642739
sturgeon	0.0642375
baboon	0.0641224
bison	0.0640662
newborns	0.0639395
great-grandchildren	0.0636894
heifer	0.0636498
kangaroo	0.0629777
lifter	0.0627293
cheetah	0.0621122
crewmembers	0.0616612
"break of serve"	0.0612588
fetus	0.060991
"belly dancer"	0.0608597
"Ryder Cups"	0.0607304
vote-getters	0.0596984
upperclassmen	0.0589978
foal	0.0587155
"milk cow"	0.0586495
"Texas Democrats"	0.0583674
"farm worker"	0.0579692
"gray whale"	0.057794
"Siamese twin"	0.0576069
"adult male"	0.0571164
"sea lion"	0.0568775
"red deer"	0.0567566
illiterate	0.0566981
otter	0.0566972
"minor-league team"	0.0566836
"black woman"	0.0565821
crewmates	0.0565482
enlistee	0.0561717
calf	0.0558809
"No. @s"	0.0558765
"chess player"	0.0554416
cormorant	0.0552396
"temporary worker"	0.0550828
"sea otter"	0.0548635
"service break"	0.0547563
no-decisions	0.0547129
seminarian	0.0546715
"mountain gorilla"	0.0543939
wideouts	0.0536769
B-@s	0.0535268
Bighorn	0.0535204
"altar boy"	0.0531801
koala	0.0528839
"major-league team"	0.0525833
"black person"	0.0525689
nonwhites	0.0523436
"Sang Lan"	0.0523264
porpoise	0.051996
grandchild	0.0518357
leopard	0.0517182
par-@s	0.0513952
"gray wolf"	0.051231
"woolly mammoth"	0.051164
"au pair"	0.0510732
guardsmen	0.0510262
Croatians	0.0509984
Embryo	0.0509021
"snow leopard"	0.0507859
"British Opens"	0.0506635
"water buffalo"	0.0505822
transient	0.0505215
"killer whale"	0.050339
weightlifter	0.0503045
"mountain climber"	0.0502971
VMs	0.0502023
Tibetans	0.0501985
paddler	0.0500053
runaway	0.0497574
Mozambican	0.0494789
parolee	0.0492891
test-takers	0.0492827
asylum-seekers	0.0492622
skydiver	0.0492538
humpback	0.0491773
deejays	0.0491598
goat	0.0490375
"full term"	0.0490359
QBs	0.0490141
Buffaloes	0.0489589
Ewe	0.0489051
"monarch butterfly"	0.0488977
"New Zealander"	0.0488102
"Sri Lankans"	0.0487956
Namibian	0.0487311
iguana	0.048672
pup	0.0485389
"AIDS patient"	0.0484126
airman	0.0483812
conscript	0.0483715
"tropical rain forest"	0.0483384
soliders	0.0482673
Ghanaians	0.0481509
"Cy Young Awards"	0.0481151
"coho salmon"	0.0479029
householder	0.0478631
piglet	0.0477873
Honduran	0.0477555
"school girl"	0.0476631
donkey	0.0476042
airmen	0.0475414
"fruit fly"	0.0473894
hemophiliac	0.0472736
vagrant	0.0471401
Gravano	0.0471258
Ohioan	0.0471118
egret	0.0470009
alligator	0.0468493
"medical specialist"	0.0468083
servicemen	0.0467775
metropolises	0.0467488
Furbys	0.0466975
eighth-grader	0.0466444
deportee	0.0465877
Asian-Americans	0.0465352
llama	0.0465343
trout	0.0465087
Liberian	0.0463753
"landscape architect"	0.0463574
parachutist	0.0463173
"New Jerseyans"	0.0461674
miscarriage	0.046121
"sex hormone"	0.0460963
baserunners	0.046085
semen	0.0460415
gazelle	0.0459062
"day laborer"	0.0458844
"blue whale"	0.0457814
turtle	0.0457343
"juvenile delinquent"	0.0456723
armymen	0.0455751
centenarian	0.0455227
walrus	0.0454175
"medical student"	0.0452741
Floridian	0.0452633
"service staff"	0.0452165
tortoise	0.0451157
"fatal accident"	0.0449824
climber	0.0449091
hostage-takers	0.0448905
Nicaraguan	0.0447813
"city block"	0.0447773
"civil engineer"	0.0446715
marathoner	0.044637
Ukrainians	0.0445274
Bangladeshi	0.0444459
"registered nurse"	0.0444078
Tonys	0.0443783
aviator	0.0443463
"unearned run"	0.0442903
Londoner	0.0441996
Dutchmen	0.0441736
infanticide	0.044084
))
("African nation" (desc 27850.9) (sims
"African country"	0.274071
"Asian nation"	0.172201
"Sierra Leone"	0.160662
Angola	0.160438
"Asian country"	0.159251
Burundi	0.153803
Liberia	0.14723
Congo	0.146371
"European nation"	0.145297
Republic	0.144892
"Balkan country"	0.143933
DRC	0.143853
Sudan	0.140506
"South American country"	0.13884
"Democratic Republic of the Congo"	0.138796
Zaire	0.138092
Algeria	0.137861
"Central American country"	0.136815
"Democratic Republic"	0.134978
Guinea-Bissau	0.134214
Cambodia	0.133902
country	0.13255
Mozambique	0.130929
"Democratic Republic of Congo"	0.1306
Somalia	0.129217
Ethiopia	0.128739
Rwanda	0.128539
Nigeria	0.126707
"Balkan nation"	0.125975
Africa	0.125637
nation	0.124934
Afghanistan	0.12489
region	0.124866
"European country"	0.123882
Uganda	0.123471
Zimbabwe	0.122079
Namibia	0.121369
Haiti	0.118894
Lesotho	0.116996
Tanzania	0.116384
Senegal	0.116237
Zambia	0.115069
Colombia	0.112617
Kenya	0.112117
Niger	0.111782
Nicaragua	0.111424
colony	0.111225
Albania	0.110321
Lebanon	0.108973
Botswana	0.108689
"East Timor"	0.107889
Honduras	0.106819
province	0.106744
Bosnia	0.10664
Eritrea	0.106537
"South American nation"	0.10632
Malawi	0.106136
Libya	0.105749
Iran	0.105732
Tajikistan	0.105719
Pakistan	0.105475
"South Africa"	0.105406
Yemen	0.103563
Indonesia	0.103296
Peru	0.102934
Bangladesh	0.102903
Togo	0.102653
Kyrgyzstan	0.10175
Ghana	0.101555
Guatemala	0.100847
Mali	0.0998576
Egypt	0.0984924
"Sri Lanka"	0.0983923
African	0.098301
Gabon	0.0978676
Turkey	0.097712
Swaziland	0.0975003
Guinea	0.0974359
Armenia	0.0973819
"Saudi Arabia"	0.0971752
Bulgaria	0.0965739
"member country"	0.096006
Kingdom	0.09579
Ukraine	0.0952087
"Middle East"	0.0950269
continent	0.0943349
Yugoslavia	0.0938902
India	0.093615
Syria	0.0931958
Ecuador	0.0927249
Iraq	0.0923226
Russia	0.0920689
Poland	0.0918063
Mindanao	0.0914886
Thailand	0.091315
"North Korea"	0.0904871
"Guinea Bissau"	0.0902206
Myanmar	0.0901125
China	0.0899732
"Democratic Congo"	0.0896386
"Northern Ireland"	0.0895297
Philippines	0.0893381
Chechnya	0.0889669
"West Africa"	0.0889241
"Central America"	0.0886986
"El Salvador"	0.0881394
Macedonia	0.0881192
Kosovo	0.0878847
Cameroun	0.0875475
Bosnia-Herzegovina	0.0875166
Balkans	0.0875009
Fiji	0.0873009
Laos	0.0871261
Madagascar	0.0868547
Mongolia	0.0866268
Chad	0.0865691
Cuba	0.0857092
"Central American nation"	0.0852718
PNG	0.0850314
Serbia	0.0848001
Malaysia	0.08465
Kuwait	0.0845363
Comoros	0.0845203
Djibouti	0.0840413
"Central African Republic"	0.0839428
"Ivory Coast"	0.0839249
Romania	0.0839049
Benin	0.0838564
Mexico	0.0837588
Abkhazia	0.0835567
"Burkina Faso"	0.0832065
Moldova	0.0831974
Bolivia	0.0831943
Vietnam	0.0829256
Nepal	0.0819177
Venezuela	0.0817879
Argentina	0.0814943
Azerbaijan	0.0814786
Europe	0.0814279
Tunisia	0.0810238
Kashmir	0.0809561
"member nation"	0.0804543
Chile	0.0801724
Asia	0.0801408
"Papua New Guinea"	0.0796547
Croatia	0.0795278
Hungary	0.0793192
Oman	0.0792451
Greece	0.0791602
"Latin America"	0.0790976
Bahrain	0.07903
Israel	0.0790161
"United States"	0.078971
Panama	0.0789113
"Republic of Congo"	0.0788726
Taiwan	0.0787085
Cyprus	0.0785648
island	0.0784336
Guyana	0.0782553
community	0.0781737
Mauritius	0.0780664
"South Korea"	0.0778089
"Dominican Republic"	0.0776999
Caucasus	0.0775381
homeland	0.0773347
DPRK	0.0767211
Japan	0.0766816
Uzbekistan	0.0760218
Portugal	0.0759772
"South Asia"	0.0759267
Kazakhstan	0.0758032
"Gulf Cooperation Council"	0.0756823
"Southeast Asia"	0.0755635
Britain	0.0754078
neighbor	0.0752345
Cameroon	0.0750754
France	0.0750494
Burma	0.0750368
Austria	0.0750152
Brazzaville	0.0749222
Mauritania	0.0748692
Ireland	0.0744662
Tibet	0.0744591
"United Arab Emirates"	0.0744228
"Central Africa"	0.0740811
"Southern African Development Community"	0.0739101
"Third World"	0.0734968
Asian	0.0734603
Montenegro	0.0728749
Belarus	0.0727285
Qatar	0.0725648
"Federal Republic"	0.0724725
Brunei	0.0724509
Germany	0.0723793
Freetown	0.0722306
Aceh	0.0720683
"international organization"	0.071751
capital	0.0715718
Chiapas	0.0715296
"Balkan state"	0.071456
))
("African National Congress" (desc 15809.8) (sims
ANC	0.338397
"Pan Africanist Congress"	0.221334
"Inkatha Freedom Party"	0.215714
"National Party"	0.198309
"Kenya African National Union"	0.177147
"United Democratic Movement"	0.166426
IFP	0.165566
"Socialist Party"	0.164804
"Liberal Democratic Party"	0.164248
"Labor Party"	0.16261
"Democratic Party"	0.160985
"Communist Party"	0.151553
"Bharatiya Janata Party"	0.145979
"United National Independence Party"	0.144587
BJP	0.139026
LDP	0.135351
"Awami League"	0.133794
"Social Democratic Party"	0.132785
"Congress Party"	0.132019
"Nepali Congress"	0.131723
"Pakistan Muslim League"	0.131517
UNIP	0.131329
"National League for Democracy"	0.131085
"Liberal Party"	0.130833
"Freedom Front"	0.129478
"Zimbabwe African National Union-Patriotic Front"	0.128819
"Bangladesh Nationalist Party"	0.12731
NP	0.126964
"South African Communist Party"	0.126734
"National Democratic Party"	0.125907
Likud	0.124825
"National Front"	0.123648
"Social Democrats"	0.122985
Renamo	0.122835
"United Malays National Organization"	0.122213
MMD	0.121749
FRELIMO	0.120753
CPP	0.120669
"Likud Party"	0.119409
"Conservative Party"	0.118315
"People's Party"	0.117862
BNP	0.117803
Zanu-pf	0.117052
"Institutional Revolutionary Party"	0.116142
socialist	0.114266
"New Korea Party"	0.113303
Kanu	0.113249
"Nationalist Party"	0.11283
"Baath Party"	0.111961
"Christian Democrats"	0.111884
UDM	0.111466
"political party"	0.111281
FUNCINPEC	0.110902
"Janata Dal"	0.110077
UNP	0.10846
"Sinn Fein"	0.107929
NLD	0.107683
Hezbollah	0.107149
"New National Party"	0.106178
"United National Party"	0.105979
Golkar	0.105921
"Islamic Salvation Front"	0.105565
"Muslim Brotherhood"	0.104475
"Cambodian People's Party"	0.104263
UNITA	0.104148
Shas	0.103997
"Palestine Liberation Organization"	0.103766
CDU	0.103557
SPD	0.102828
"National Resistance Movement"	0.102079
"People's Alliance"	0.101492
MPLA	0.10113
Hamas	0.101007
"Christian Democratic Union"	0.100297
"Liberal Democrats"	0.100231
Fatah	0.100021
"Arab League"	0.0998195
Taliban	0.099771
Coalition	0.0993108
COSATU	0.0993104
NC	0.0987967
"Serbian Renewal Movement"	0.0986423
"Christian Social Union"	0.0986046
"United Front"	0.0983629
Meretz	0.0978948
MDC	0.0978104
"National Democratic Alliance"	0.097342
"Meretz Party"	0.0972768
PASOK	0.0965803
"Irish Republican Army"	0.0964739
"Popular Party"	0.0962393
PRI	0.0954131
"Amnesty International"	0.0951107
Yabloko	0.0950319
CPN-UML	0.094436
"Democrat Party"	0.0943588
RPR	0.0939422
ETA	0.0935284
"Islamic Jihad"	0.0933952
"National Action"	0.093277
PKK	0.0925934
faction	0.0924729
"trade union"	0.0924513
"National Religious Party"	0.0923832
MILF	0.0923179
NDF	0.0921512
"labor union"	0.0913209
"Ulster Unionist Party"	0.0912086
CPC	0.0910815
Mugabe	0.0907615
"Canadian Alliance"	0.0905137
FIFA	0.0899853
"Sudan People's Liberation Army"	0.0893268
"People's Democratic Party"	0.0890409
ZANU	0.08862
"Sam Rainsy Party"	0.0884156
"Khmer Rouge"	0.0878126
junta	0.0873198
"Hun Sen"	0.0871654
NDP	0.0869579
"Chinese Communist Party"	0.0868924
DP	0.0867478
Awami	0.0866575
Communist	0.0864623
PA	0.0860198
"Golkar Party"	0.0859432
RUF	0.0857233
Alliance	0.085684
UUP	0.0856262
"Binyamin Netanyahu"	0.0855816
Otpor	0.08549
PDP	0.0851536
"Barisan Nasional"	0.0848103
NKP	0.084768
militia	0.0847575
Khatami	0.0843225
"Croatian Democratic Union"	0.0842581
"Real IRA"	0.0840304
MQM	0.0839975
"National Council of Churches"	0.0838141
"Colorado Party"	0.0837112
"Democratic Left"	0.0834391
UDF	0.0833021
"Russian Foreign Ministry"	0.0832542
"U.S. Soccer Federation"	0.0831702
"Rwandan Patriotic Front"	0.0830994
Berisha	0.0827908
"Iranian Foreign Ministry"	0.0826649
"Organization of American States"	0.0826521
union	0.082566
"Ulster Unionists"	0.0824822
KLA	0.0823884
"United Liberal Democrats"	0.081955
Poplasen	0.0818768
Greenpeace	0.0814349
"Revolutionary Party"	0.0813786
RPP	0.0810455
PNA	0.080857
"National Union"	0.0807865
"Board of Supervisors"	0.0804636
"Independent Electoral Commission"	0.0804342
"Parti Quebecois"	0.080374
NAACP	0.0800854
"Revolutionary United Front"	0.0800207
"Council of Europe"	0.0798083
UEFA	0.0797066
Amal	0.0796876
"Kosovo Liberation Army"	0.0795835
federation	0.0792303
IRA	0.0791676
"Palestinian National Authority"	0.0790556
mujahedeen	0.0790277
UF	0.0789903
"Moro Islamic Liberation Front"	0.078987
Ranariddh	0.0788874
"Russian Communist Party"	0.0788143
"Serbian Radical Party"	0.078715
"New Aspiration Party"	0.0780938
"Truth and Reconciliation Commission"	0.0780023
Lakas-NUCD	0.0779945
Jamaat-e-Islami	0.0779915
PLO	0.0777548
NATO	0.0776427
Kuomintang	0.0772529
"European Commission"	0.077189
"Welfare Party"	0.077118
"National Council of La Raza"	0.0771063
UMNO	0.0770913
"Northern Alliance"	0.0770192
"Palestinian Authority"	0.0767142
"Organization of Islamic Conference"	0.0766987
"Sam Rainsy"	0.0763772
"business community"	0.0763479
Lakas	0.0762807
"Christian Coalition"	0.0760447
opposition	0.0759413
CCM	0.0759208
"Afghan Taliban"	0.0757953
Yeltsin	0.0757825
"popular front"	0.0757601
))
("African Nations Cup" (desc 4157.56) (sims
"Asian Cup"	0.284589
"African Cup"	0.272022
"Davis Cup World Group"	0.247285
"European Championship"	0.22319
"Libertadores Cup"	0.220105
"League Cup"	0.201214
"Nations Cup"	0.194861
"Euro @@@@"	0.188473
"Confederations Cup"	0.187679
"Copa America"	0.186825
"Federation Cup"	0.180473
EuroLeague	0.178272
"European Cup"	0.171036
"European Champions Cup"	0.169228
"World Group"	0.163003
"European Championships"	0.162933
"Champions Cup"	0.154748
"Uber Cup"	0.154748
"UEFA Cup"	0.151771
"Hamlet Cup"	0.150152
"Fed Cup"	0.150047
"German Open"	0.147865
"Thomas Cup"	0.144432
"Grand Slam Cup"	0.143543
CONCACAF	0.14345
"Stockholm Open"	0.142903
"English Premier League"	0.142051
"Swiss Open"	0.141389
"European Champions League"	0.141269
"cup final"	0.139055
"Champions League"	0.138649
"Kremlin Cup"	0.137505
"F.A Cup"	0.136732
"Canadian Open"	0.135525
"Davis Cup"	0.135488
"Lipton Championships"	0.135394
"Italian Cup"	0.13537
"Japan Open"	0.134985
"Italian Open"	0.133626
"Louis Vuitton Cup"	0.130468
Asiad	0.130226
"Chinese Basketball League"	0.127772
"US Open"	0.126171
"Australian Open"	0.123438
"ATP Championship"	0.122764
"French Open"	0.119954
"World Team Cup"	0.119219
"Little League World Series"	0.119078
"World Cup"	0.118993
"field hockey"	0.112913
"Midwest Regional"	0.112566
under-@@	0.112056
"Maurier Open"	0.111349
"Commonwealth Games"	0.110768
"Sudirman Cup"	0.109764
"Gold Cup"	0.108055
"Hong Kong Open"	0.105797
"Group @"	0.105475
"Sydney Olympic Games"	0.105306
"World Athletics Championships"	0.105064
"World Championships"	0.104903
"Asian Games"	0.104877
"Atlanta Olympic Games"	0.104362
"Paris Open"	0.104349
"Volleyball Grand Prix"	0.103536
"Hopman Cup"	0.101261
"FA Cup"	0.101174
"Buick Invitational"	0.100596
"European Swimming Championships"	0.0988956
"Cup Winners Cup"	0.0988953
"Olympic Games"	0.0979165
"United States Open"	0.0977879
"New York City Marathon"	0.0977303
tourney	0.0966295
"ice hockey"	0.0962861
Universiade	0.095969
"London Marathon"	0.0955364
"Pan American Games"	0.0953375
"Pan Pacific"	0.0952457
"ATP Tour World Championship"	0.094708
"basketball league"	0.0946417
"Big Sky Conference"	0.0941057
"round robin"	0.093998
"U.S. Open"	0.0937552
"World University Games"	0.0931034
"National Invitation Tournament"	0.0930168
"first cup"	0.0926046
"Sydney Olympics"	0.0919675
"U.S. Amateur"	0.0918979
"Southeast Asian Games"	0.0913665
nit	0.091085
"Acura Classic"	0.0909722
"World Cup Finals"	0.090391
"West Regional"	0.0889499
"Dunhill Cup"	0.0885826
"stroke play"	0.0882837
Maurier	0.0870395
"Division @"	0.0862313
Wimbledon	0.0858543
"South Regional"	0.0851981
"World Table Tennis Championships"	0.0850871
"World Figure Skating Championships"	0.0847941
"Summer Games"	0.0845582
"Nissan Open"	0.0844581
"Olympic Winter Games"	0.084163
quarterfinal	0.0840684
"Southwest Conference"	0.0839889
"U.S. Senior Open"	0.0837199
"Top Fuel"	0.0823093
epee	0.0822927
"National Games"	0.0818462
"International AIDS Conference"	0.0817403
"Goodwill Games"	0.0816813
"Western Open"	0.081356
"Basketball Championship"	0.0812522
"ATP Tour"	0.0812347
"Big West"	0.081184
"College World Series"	0.0811687
"Winter Olympic Games"	0.0811195
"Conference USA"	0.0807534
pentathlon	0.0803099
"World League"	0.0802368
"Chase Championships"	0.0785775
"Western Athletic Conference"	0.0783273
"Atlanta Olympics"	0.0782894
"Roland Garros"	0.0782485
"Wimbledon Tennis Championships"	0.0778776
"NCAA Tournament"	0.0772888
snooker	0.0770178
relegation	0.0770152
"British Open"	0.0769121
volleyball	0.0765437
men's	0.0755139
Lipton	0.0754941
"AFC West"	0.0747499
"NFC East"	0.0739937
Oceania	0.073894
pre-Olympic	0.0733075
"Summer Olympics"	0.0732336
"Big East"	0.0731699
"World Basketball Championship"	0.0728689
badminton	0.072838
"South American"	0.0727959
"SEA Games"	0.0727661
"Pan Am Games"	0.072479
handball	0.0723902
"water polo"	0.072363
"Winter Olympics"	0.0718226
"match play"	0.0717587
Eastbourne	0.0717551
ATP	0.0716857
backstroke	0.0714475
"Tour de France"	0.0711705
best-of-@	0.0707755
"Grand Prix"	0.0705745
"high jump"	0.0704523
freestyle	0.0700644
"Sydney Olympic"	0.06989
first-day	0.0693082
Giro	0.0692844
"Phoenix Open"	0.0684544
breaststroke	0.0684094
"Indy @@@"	0.0683988
"Eighth National Games"	0.0681148
tennis	0.0678647
"Funny Car"	0.0677977
"World Championship"	0.0677283
"Tour Championship"	0.067684
WCC	0.0676456
qualifier	0.0675998
"MLS Cup"	0.0673747
"Buick Classic"	0.0673652
"Italian League"	0.0673
"Daytona @@@"	0.0671803
"table tennis"	0.0668989
friendlies	0.0667808
"East Regional"	0.0667523
"Indian Wells"	0.066389
"Volleyball Championship"	0.0662956
NCAA	0.0662717
"Sydney Games"	0.0659353
"Big @@"	0.0656875
"long jump"	0.06504
second-round	0.0649698
Kitzbuehel	0.0649123
"Premier League"	0.0642246
"World Weightlifting Championships"	0.0638956
"Boston Marathon"	0.0635846
"World Petroleum Congress"	0.063525
mini-summit	0.0633642
"NFC West"	0.0632822
Masters	0.0631747
"World AIDS Conference"	0.0628303
"High Commission"	0.0625844
"PGA Championship"	0.0625487
"Western Conference"	0.0625065
"Atlantic Coast Conference"	0.0624135
"Dinah Shore"	0.062383
CWS	0.0621973
inaugural	0.0621348
))
("African Union" (desc 1188.1) (sims
"international criminal court"	0.219145
"African Economic Community"	0.192052
"Free Trade Area"	0.153508
FTAA	0.146399
UNTAET	0.129152
AFTA	0.118561
Ulema	0.115281
MSAR	0.109955
AEC	0.1067
UNMOVIC	0.10573
"customs union"	0.103623
"League of Nations"	0.103085
"Free Trade Agreement"	0.102768
"Market system"	0.102201
"endowment fund"	0.10163
ICC	0.100708
"Turkish Republic"	0.100081
EPZ	0.0976755
"East African Community"	0.0940341
SEZs	0.0940168
EAC	0.0915963
"early warning system"	0.0901623
databank	0.0891374
"Export Processing Zones"	0.0886193
Amity	0.088425
"free zone"	0.0876001
"Petroleum Exporting Countries"	0.08658
"Kosovo Verification Mission"	0.0858445
protectorate	0.0858287
FTA	0.0853907
"language school"	0.0853825
"Canadian Alliance"	0.0853248
broad-based	0.0846124
"criminal court"	0.0843228
"credit system"	0.0841352
"reserve fund"	0.0825384
"business relation"	0.0821413
"Macao Special Administrative Region"	0.0819372
"ASEAN Free Trade Area"	0.0812561
CIRC	0.080519
"SAR Government"	0.0784502
"National Missile Defense"	0.0780908
"Special Administrative Region"	0.0771618
"Everglades National Park"	0.0770627
"private corporation"	0.0769831
"Marshall Plan"	0.0766577
good-neighborly	0.0763306
"trade area"	0.0760177
"Macao SAR"	0.0759995
"electoral system"	0.0751496
joint-ventures	0.0742703
G-@@	0.0728911
taskforce	0.0720243
D-@	0.0716998
"Super League"	0.0716846
fiefdom	0.0705656
"pilot program"	0.0704661
"Provisional Legislative Council"	0.0702541
"HKSAR Government"	0.0699807
cantons	0.0698214
"surveillance system"	0.0691928
"China Democracy Party"	0.0691116
"Kurdish Workers Party"	0.0689366
"Turkish Republic of Northern Cyprus"	0.0680495
NAM	0.0677217
CMA	0.0674244
"security system"	0.0669883
"national monument"	0.0669521
JMC	0.0667751
"football league"	0.0663671
"working group"	0.0658013
"Human Rights Commission"	0.0657347
"Joint Military Commission"	0.0654797
"Constitutional Council"	0.0645926
"market order"	0.0643766
"Group of @@"	0.0631124
"American state"	0.0630085
"National Gambling Impact Study Commission"	0.0629915
EPZs	0.0629449
A@XX	0.0628479
KEDO	0.0625566
"Court of Final Appeal"	0.0621145
"steering committee"	0.0620545
"political platform"	0.061952
"work group"	0.0617864
Consulate-General	0.0616069
"monetary system"	0.0614527
UNFICYP	0.0613112
"National Thoroughbred Racing Association"	0.0612894
"point system"	0.0612426
"market economy"	0.0609998
"parliamentary democracy"	0.0608884
"Constitutional Assembly"	0.0604297
"Shenzhen Special Economic Zone"	0.0602125
"Lome Convention"	0.0601979
"Organisation of African Unity"	0.0601199
"trading system"	0.0599905
"United Republic of Tanzania"	0.0598154
"political movement"	0.0598101
"development center"	0.0589393
"trucking industry"	0.0588997
"Joint Commission"	0.0585816
YankeeNets	0.0585726
"Damascus Declaration"	0.0585127
"American plan"	0.0583846
"Islamic Republic"	0.0580528
ECN	0.0578523
AMC	0.0576958
UNIFIL	0.0576569
XFL	0.0575963
"communication network"	0.0575348
ECB	0.057401
Icann	0.0571466
"Multimedia Super Corridor"	0.0568955
"Economic and Monetary Union"	0.056751
"monetary fund"	0.0567189
MSF	0.0563789
"secret society"	0.0563586
ICTR	0.0561813
EMU	0.0561746
"European Monetary Union"	0.0560638
"moral hazard"	0.0558939
"Election Committee"	0.0556349
"code of conduct"	0.0556171
Kurdistan	0.055392
"personal relation"	0.0553403
"control board"	0.0553016
"economic system"	0.0552876
GCC	0.0552248
SAARC	0.0551089
PAC	0.0550261
"entitlement program"	0.055009
"Peace Corps"	0.0550073
"Preparatory Committee"	0.0549979
"Strategic Petroleum Reserve"	0.0549869
"Islamic Movement"	0.0549071
"pricing system"	0.0548852
"military commission"	0.0547071
"defense system"	0.0546571
"investment trust"	0.0546128
"HK SAR"	0.0543872
"Vision @@@@"	0.054268
"Ethics Commission"	0.0542023
KPA	0.0541935
"New China"	0.0541507
homepage	0.054085
Eximbank	0.0539107
"futures exchange"	0.0537747
homepages	0.0537627
"incentive plan"	0.0536613
"Selection Committee"	0.0534858
"regulatory agency"	0.053396
UNRWA	0.0533408
"World Environment Day"	0.0532018
"interim committee"	0.053103
Chinese-Americans	0.0528908
"reading program"	0.0526312
"aerospace giant"	0.0525964
"AOL Time Warner"	0.0525658
"investment company"	0.0524412
"chain store"	0.0523717
CFA	0.0523194
"National Library"	0.0523117
"clearing house"	0.0522614
"pressure group"	0.0522543
"shareholder value"	0.0520266
"support system"	0.0517703
"ethics committee"	0.0515036
"monitoring program"	0.0514863
"benefit program"	0.0514201
"bond offering"	0.0514154
"fund-raising campaign"	0.0512263
Nunavut	0.0510908
"bus route"	0.0510476
incubator	0.051038
CMAG	0.0508751
"line of products"	0.050659
"gas plant"	0.0505459
"road runner"	0.0502524
interagency	0.0501674
ASEM	0.0500811
SPS	0.0499582
sufficiency	0.0497436
"highway system"	0.0497124
"fait accompli"	0.0494759
heliport	0.0493814
"International Criminal Tribunal"	0.0493003
"futures market"	0.0492303
"legislative council"	0.0491867
utopia	0.0491271
"Islamic Conference"	0.0489628
Chinas	0.0488903
"free port"	0.0487296
UNFPA	0.0486963
Haq	0.0486534
"artificial heart"	0.0486232
identifier	0.0483099
"tax change"	0.0482174
"credit union"	0.0481595
"embryonic cell"	0.048049
))
("African Unity" (desc 8595.25) (sims
OAU	0.215559
"Organization of African Unity"	0.195758
"Islamic Conference"	0.19004
OIC	0.111645
SADC	0.106644
"West African States"	0.0947223
ECOWAS	0.094698
"Salim Ahmed Salim"	0.0914067
COMESA	0.0902761
"Arab League"	0.0900217
"Southern African Development Community"	0.0878705
"Petroleum Exporting Countries"	0.0865607
IGAD	0.0856127
mini-summit	0.0816397
"United Nations"	0.0815072
"Economic Commission for Africa"	0.0779115
Ouagadougou	0.0767174
"Kofi Annan"	0.0748365
"Economic Community of West African States"	0.074622
OSCE	0.0744134
WEF	0.0740115
U.N.	0.0711588
UN	0.070969
"Group of @@"	0.0708057
"Contact Group"	0.0684359
"European Community"	0.067386
"Council of Europe"	0.0672256
"International Red Cross"	0.0657002
"Group of Rio"	0.0644922
"Non-Aligned Movement"	0.0643551
"European Council"	0.0636555
"U.N. Security Council"	0.0636535
OAS	0.0621396
"Secretary General Esmat Abdul-Meguid"	0.0618205
"Association of Southeast Asian Nations"	0.0616985
"Council of Ministers"	0.0614915
DRC	0.0605464
GCC	0.0604406
G-@@	0.0603042
"Meles Zenawi"	0.0601277
organisation	0.0598039
"Addis Ababa"	0.0595966
"American state"	0.0593633
ICRC	0.0590565
"European Commission"	0.058991
"European Parliament"	0.0574152
"Economic Cooperation"	0.056335
Eritrea	0.0562894
CMAG	0.0558933
"Secretary General Boutros Boutros-Ghali"	0.0557477
commonwealth	0.0557102
MSF	0.05541
"North Atlantic Treaty Organization"	0.0553921
"Common Market for Eastern and Southern Africa"	0.0550975
"Southern Africa"	0.054536
"Security Council"	0.0540558
"UN Security Council"	0.0540393
"United Nations Security Council"	0.0540387
EAC	0.0539058
"UN agency"	0.0538906
ASEM	0.0538475
"U. N."	0.0534147
UNHCR	0.0529614
"Caribbean Community"	0.0525981
"Victoria Falls"	0.0525893
HKFA	0.0525585
ASEAN	0.052502
WTO	0.0519105
Yaounde	0.0517013
"Member States"	0.0516897
"EU Commission"	0.0514076
"Gulf Cooperation Council"	0.0511514
"World Bank"	0.0509466
AEC	0.0508479
Annan	0.0508147
TNI	0.0503567
UNDP	0.0496945
"Red Cross"	0.0496614
ECOMOG	0.049654
"Israeli Cabinet"	0.0496279
NAM	0.0494932
Asia-Europe	0.0489443
"U.N. agencies"	0.0489412
Abdel-Meguid	0.0488497
"general assembly"	0.0485768
utmost	0.048573
Non-governmental	0.0485164
facilitator	0.0484324
IPU	0.0481533
"international organization"	0.0481434
PLO	0.0478156
"Organization for Security and Cooperation in Europe"	0.0477068
UPU	0.0475562
Arusha	0.0473902
ITF	0.047333
"member country"	0.0471931
JMC	0.0467735
Helsinki	0.0467216
"United Nations Conference on Trade and Development"	0.0466989
"Organization of American States"	0.0463096
"Rio Group"	0.046293
Mercosur	0.0461879
"U.S. Congress"	0.0458804
Djibouti	0.0457931
WEU	0.045783
"World Trade Organization"	0.0457019
mediator	0.0456714
"Asia Pacific Economic Cooperation"	0.0456177
mediation	0.0456027
"Political Affairs"	0.0455721
Lome	0.0451778
"International Monetary Fund"	0.0451517
"Palestinian Council"	0.0450935
"World Economic Forum"	0.045084
PNC	0.0449852
"United Nations Development Program"	0.044922
Ci	0.0448066
NGOs	0.0447231
ITU	0.0446227
"International Amateur Athletic Federation"	0.0445607
"Asian Development Bank"	0.0444699
fora	0.0443263
G-@	0.04401
SAARC	0.0439205
INEC	0.0439096
UNESCO	0.0436587
EC	0.0434757
"United Nations agency"	0.0433557
auspices	0.043348
"Antonio Guterres"	0.0432399
"International Labor Organization"	0.0432372
"NPC Standing Committee"	0.0432118
"Palestinian Central Council"	0.0428691
"Secretary General"	0.0427941
ICC	0.0427225
"National Urban League"	0.0426401
"Palestine Liberation Organization"	0.0424027
"Palestinian National Authority"	0.0422613
FAO	0.0419596
"Amr Moussa"	0.0419557
FIA	0.041886
FCC	0.0416863
Libreville	0.0415829
"Joint Military Commission"	0.0415264
sub-regional	0.0413431
"Jordanian King Abdullah Bin Hussein"	0.0413133
CBI	0.0413117
ESCAP	0.0412954
"Secretary General Esmat Abdel-Meguid"	0.0412834
dialog	0.0410286
UNCTAD	0.0410105
TDC	0.0409339
CITES	0.0408139
UNICEF	0.0407921
PCC	0.0406527
ITC	0.0404378
"International Olympic Committee"	0.0402738
"diplomatic mission"	0.0401571
"Richard Holbrooke"	0.0400037
))
(African-American (desc 42004.7) (sims
Hispanic	0.229015
Latino	0.20328
black	0.194403
"African Americans"	0.191322
Asian-Americans	0.153393
minority	0.14786
"Asian Americans"	0.146781
"African American"	0.14244
"people of color"	0.130959
woman	0.129953
"black woman"	0.126329
Asian	0.12473
"American Indian"	0.122766
Mexican	0.122032
Jew	0.120392
Gay	0.114039
African	0.112278
Asian-American	0.111363
"black man"	0.111238
immigrant	0.110078
white	0.109453
American	0.107609
people	0.105886
voter	0.104866
"native American"	0.103926
Catholic	0.103381
Anglos	0.101524
"Puerto Rican"	0.100953
adult	0.100242
male	0.0998691
female	0.099591
teen-ager	0.0993085
foreigner	0.0980911
christian	0.09487
lesbian	0.0946878
homosexual	0.094377
"college student"	0.093714
student	0.093458
Filipino	0.0932628
child	0.0929219
resident	0.0913345
citizen	0.0902368
"union member"	0.0899889
Caucasian	0.089782
athlete	0.0896547
man	0.0895074
individual	0.088495
Indian	0.088374
"senior citizen"	0.0877475
Republican	0.0875173
youth	0.0872363
youngster	0.0868482
consumer	0.0865982
teenager	0.0864873
farmer	0.0864459
Koreans	0.08623
Texan	0.0858338
poor	0.0851289
smoker	0.0846542
Democrat	0.0842127
Tibetans	0.0841883
professional	0.0840626
Californian	0.0838825
disabled	0.0830228
"white woman"	0.0829963
Muslim	0.0828065
retiree	0.0827073
veteran	0.0824827
worker	0.0821279
Canadian	0.0819663
Jewish	0.0818933
"Asian American"	0.0817806
Russian	0.0811302
teens	0.0808248
Chinese	0.0804432
senior	0.080322
employee	0.0800766
those	0.0799418
"white man"	0.0799401
independent	0.079178
Southerner	0.0789621
elderly	0.0788276
kid	0.0788271
person	0.0787366
European	0.0787147
patient	0.0785251
"elected official"	0.0783135
Japanese	0.0775374
"business traveler"	0.0767739
member	0.0767587
Reader	0.0765575
Cuban	0.0764753
"young woman"	0.0764534
girl	0.076442
westerner	0.0763866
Haitian	0.0762285
population	0.0762255
teacher	0.0754399
Aborigine	0.0754016
"black person"	0.0753703
Dominican	0.0753613
"drug user"	0.0753511
household	0.0753499
viewer	0.0753484
Protestant	0.0751035
Kenyan	0.0750744
"AIDS patient"	0.0748513
folk	0.0741933
"Roman Catholic"	0.0739701
Nigerian	0.0739573
"young man"	0.0738507
Cambodian	0.0737951
community	0.0736394
conservative	0.0734313
applicant	0.0734101
adolescent	0.0733337
parent	0.0732704
Italian-Americans	0.0731197
"ethnic group"	0.0730569
"baby boomer"	0.0730394
family	0.0723545
Australian	0.0721693
"middle class"	0.0719245
inmate	0.0716943
freshmen	0.0715188
politician	0.0713605
graduate	0.0712423
Briton	0.0711718
"New Yorker"	0.07105
customer	0.070909
homeowner	0.0709007
slave	0.07083
user	0.0708261
"over @@"	0.0707273
artist	0.0706844
orphan	0.0696438
taxpayer	0.0688172
Arab	0.0687361
journalist	0.0685853
traveler	0.0683577
investor	0.0683457
addict	0.0682653
drinker	0.0682478
Mexican-Americans	0.068244
"wage earner"	0.0682264
pupil	0.0681087
"foster child"	0.0679046
musician	0.0678345
infant	0.0678153
Cuban-Americans	0.0676338
Gypsy	0.0674789
businessmen	0.0674638
player	0.0673865
victim	0.0671796
"married woman"	0.0670233
migrant	0.0670228
Israeli	0.066908
entrepreneur	0.0668973
buyer	0.0668108
dweller	0.0665993
Colombian	0.0665789
newcomer	0.0663689
liberal	0.0663592
affluent	0.0663194
civilian	0.0662533
donor	0.0662494
Serbs	0.0661682
physician	0.065849
Mormon	0.0657425
"faculty member"	0.0656913
low-income	0.0656689
Pakistani	0.065663
young	0.0655971
recipient	0.0654189
Vietnamese	0.0654173
fan	0.0654134
German	0.0650698
activist	0.0650646
Moslem	0.0647728
scientist	0.0647508
laborer	0.0645674
gambler	0.0644816
"New Zealander"	0.0643974
boy	0.0643167
Indonesian	0.0642939
"drug addict"	0.0642932
tourist	0.0642778
intellectual	0.0641676
outsider	0.0640466
lawmaker	0.0640077
Hindu	0.0639909
doctor	0.0639568
"South African"	0.0639484
learner	0.0638644
golfer	0.0636773
Albanian	0.0635468
schoolchildren	0.0634498
dropout	0.063303
"human being"	0.0632432
executive	0.0632255
))
(Afrikaans (desc 1629.27) (sims
Kiswahili	0.260394
Urdu	0.237757
Bengali	0.224041
Swahili	0.218871
Farsi	0.160338
Hindi	0.156803
Hebrew	0.149035
Arabic	0.147757
Sinhala	0.138459
Cantonese	0.137169
Zulu	0.132814
Yiddish	0.130947
Portuguese	0.123834
Sanskrit	0.123468
Aramaic	0.112816
Mandarin	0.105924
Putonghua	0.100037
Gaelic	0.0994588
"Indonesian Observer"	0.0976596
Malay	0.093999
Creole	0.0933316
"Ethiopian Herald"	0.0895741
"New Nigerian"	0.0878617
"German language"	0.0875549
civics	0.0859348
"El Mundo"	0.0857205
Hausa	0.0846952
"Business Day"	0.0823692
Noticias	0.0808834
"English language"	0.0808454
"mother tongue"	0.0807836
Tibetan	0.0789323
Maasai	0.0781789
"Post Express"	0.0781055
Armenian	0.0776674
Welsh	0.0769749
Persian	0.0761853
Hurriyet	0.0759784
"Yomiuri Shimbun"	0.075373
"Nihon Keizai Shimbun"	0.0752936
"Nihon Keizai"	0.0747713
broadsheet	0.0734504
"New Straits Times"	0.0734331
dialect	0.071132
"Straits Times"	0.0709924
spoken	0.0709199
"Moscow Times"	0.0705136
L'Equipe	0.0700901
Maariv	0.0696116
Navajo	0.0692712
BASQUE	0.0686154
"Yediot Ahronot"	0.0683404
"Egyptian Gazette"	0.068243
"Business Times"	0.0678376
Breton	0.0669747
Al-Ahram	0.0669054
"New Vision"	0.0668796
Kommersant	0.0662795
"computer operation"	0.066187
Sowetan	0.065974
"Alam Al Yom"	0.0656221
Politika	0.0650837
"liberal arts"	0.0650524
polytechnic	0.0640841
"East African Standard"	0.0634236
"Daily Times"	0.0633169
"Jakarta Post"	0.0631755
Finnish	0.062203
"Sydney Morning Herald"	0.061984
Latvian	0.0614133
Estonian	0.0612196
"National Post"	0.0607018
al-Hayat	0.0605864
"Asahi Shimbun"	0.0599042
"The New Vision"	0.0592384
Miao	0.059192
"Kathmandu Post"	0.0590723
"A few key"	0.0589092
Harmoko	0.0586939
Camerounian	0.0585672
"comparative literature"	0.0582187
"Kenya Times"	0.0576797
"Al Ahram"	0.0576054
Danish	0.0569614
"Khaleej Times"	0.0566798
"The Monitor"	0.0565053
"Tehran Times"	0.0563422
gibberish	0.0560068
"Ivy League"	0.0559034
Manchu	0.0558287
Khmer	0.0553158
Uygur	0.0551993
Safir	0.0551929
Brasil	0.0550382
Javanese	0.0549782
Asahi	0.0538659
"computer science"	0.0535013
"Financial Mail"	0.0532277
Bild	0.0531635
Haaretz	0.0531489
Ruehe	0.053102
"Daily Star"	0.0529647
"Rodong Sinmun"	0.0527805
"Zambia Daily Mail"	0.0522902
"Gulf News"	0.0517262
Zhuang	0.0516457
NCEC	0.0514678
Kurdish	0.0511286
Malaya	0.0510654
"Jordan Times"	0.0509252
"Jerusalem Post"	0.0506493
"Evening Standard"	0.0504346
Reforma	0.0504028
Al-Thawra	0.0501379
algebra	0.0498063
Hani	0.0496989
Yomiuri	0.0496448
Granma	0.0489882
"Al Hayat"	0.0489135
Azeri	0.0486689
Scotsman	0.0482893
"Hispanic American"	0.0478049
Coptic	0.0473042
Okinawan	0.0472046
Berber	0.0469971
Hopi	0.0467918
"Le Figaro"	0.0456882
Inquirer	0.0456263
XML	0.044963
"Daily Nation"	0.0449213
phonics	0.0443499
"early childhood"	0.044153
Korean-American	0.0439324
"East African"	0.0438917
"social work"	0.0433114
Eskimo	0.0432331
"John Gielgud"	0.0431054
Germanic	0.0428754
"El Pais"	0.0428075
"fine arts"	0.0423105
Tennessean	0.0422121
Malu	0.0421315
third-grade	0.0419324
"Orthodox Jewish"	0.0418432
"Bangkok Post"	0.041504
"Daily Mail"	0.041477
Catalan	0.041202
Anglo-Saxon	0.0408812
Asian-American	0.0407468
Aventajado	0.0406118
Marulanda	0.0404522
Salam	0.0403722
sixth-grade	0.0402184
"American Jewish"	0.0402133
Aztec	0.0401749
"Turkish Cypriot"	0.0401476
))
(Afrikaner (desc 2595) (sims
"Southern Democrats"	0.127057
Uighurs	0.0874341
"North Carolinian"	0.0824188
"Kosovo Serbs"	0.08142
"South Carolinian"	0.079284
Washingtonian	0.0781979
Quebecers	0.0766057
Minnesotan	0.0763751
Virginian	0.0725994
Italian-Americans	0.0724601
Missourian	0.072294
evangelicals	0.0701206
Fijian	0.0698355
Protestant	0.0683943
"Orthodox Jews"	0.0676644
Ecuadoreans	0.0662249
"New York Republicans"	0.0660995
Republicanism	0.0645133
Bostonians	0.0645119
Hawaiians	0.0643303
clergymen	0.0642915
"American Jews"	0.064016
enlistee	0.0639116
Mississippian	0.0638461
Northerner	0.0623682
landowner	0.061789
Vermonter	0.0613204
Neff	0.0601444
"church member"	0.059531
Iowan	0.0593096
Baptists	0.0589525
Muscovite	0.0587184
"New Jerseyans"	0.0585091
Cuban-Americans	0.0584497
"Islamic Jihad"	0.057777
Montenegrins	0.0573139
Atlantans	0.0571835
ideologue	0.0565266
Protas	0.0565028
Zimbabwean	0.0563854
"business organization"	0.0558722
Arab-Americans	0.0558576
Chinese-Americans	0.0554161
"union member"	0.0550494
Cambodian	0.0547831
Athenian	0.054407
Cooley	0.0543648
Southerner	0.0542158
unionist	0.0538434
Parisian	0.0536647
Ohioan	0.0535844
adoptees	0.0535036
Texan	0.0530874
Navajos	0.0530314
Londoner	0.0528809
Irishmen	0.052398
Bostonian	0.0523399
Chinese-Indonesians	0.052217
Tibetans	0.0520313
"faculty member"	0.0519465
Farrakhan	0.051868
"pressure group"	0.0512691
shipowner	0.0512093
Panamanian	0.0511247
filmgoers	0.0510706
Tamil	0.0510652
Basques	0.0510067
"plantation owner"	0.0509793
mainlanders	0.0506527
"heavy hitter"	0.0506154
Macedonian	0.0503815
Lutheran	0.0503049
Hungarian	0.0502187
hotelier	0.0501723
"music lover"	0.0498955
"Southern Baptists"	0.0498148
"social scientist"	0.0496441
Cuban-American	0.049622
congregants	0.0494322
"African Americans"	0.0493669
Californian	0.0490988
Kuwaiti	0.0490282
Kashmiris	0.0489753
Episcopalian	0.0487252
Moslem	0.0486209
Creationists	0.048222
"Texas Democrats"	0.047909
"Guardian Council"	0.0478349
"social group"	0.0477676
"business executive"	0.0477575
Aborigine	0.0477172
MQM	0.0476323
al-Nahyan	0.0473929
traditionalism	0.0471155
theatergoer	0.0470028
"civic leader"	0.0469758
suburbanite	0.0468276
nobleman	0.0467283
Montiel	0.0466625
ex-convicts	0.0465098
Arab-American	0.0464148
"interest group"	0.0463595
experimenter	0.0461074
"rank and file"	0.0460663
"United Liberal Democrats"	0.0456377
lobstermen	0.0455058
"university student"	0.0453418
"New Democrats"	0.0450791
criminologists	0.0450776
Atlantan	0.0450723
feminist	0.0450625
"people of color"	0.0449988
intelligentsia	0.0449842
countrymen	0.0449804
Taiwanese	0.0448969
prelate	0.0448911
Anglos	0.0447477
enactors	0.0447203
"stamp collector"	0.04465
motorcyclists	0.0445261
"Begum Khaleda Zia"	0.0444768
"East Timorese"	0.0443995
VMs	0.0443411
"member nation"	0.0442358
townsfolk	0.0441032
"Senate Republicans"	0.0440216
Dominican	0.043903
"political detainee"	0.0438441
"Orthodox Church"	0.0438068
AFL-CIO	0.0437605
Singaporean	0.0436464
Venezuelan	0.0435794
Mullah	0.0435677
"British people"	0.0435246
bondholder	0.0434567
"ping-pong ball"	0.043408
Berliner	0.0433953
cleric	0.0432873
Industrialist	0.0432704
franchisees	0.0432683
Arkan	0.0432053
Tory	0.0430995
Scots	0.043053
tyke	0.0429287
Brit	0.0429251
Haitian	0.0428806
hostage-takers	0.042842
"Sephardic Jews"	0.0428365
jurist	0.0428239
marcher	0.0428228
Algerian	0.0428086
Negro	0.0426965
Malay	0.0426225
"trade unionist"	0.0424347
Tennessean	0.0424239
"Speaker Ali Akbar Nateq-Nouri"	0.0423666
"heroin addict"	0.0423643
"Grand National Party"	0.0422659
"Reform Judaism"	0.0420931
"Asian Americans"	0.0420127
"New Englander"	0.0417287
"Bengal tiger"	0.0417201
Salvadoran	0.0416644
"New York Democrats"	0.041653
"council member"	0.0416527
"sports fan"	0.0415729
broadsheet	0.0413834
parishioner	0.0413743
Angelenos	0.0413512
"health professional"	0.041325
Nepali	0.0412973
Urdu	0.0412785
"Israeli Arabs"	0.0412474
"Member States"	0.0411063
backbencher	0.0410992
"New Zealander"	0.0410613
sufferer	0.0409571
roaster	0.0409467
"Orange Order"	0.0408934
"Department of Environment"	0.0408721
"Roman Catholic Church"	0.0408151
concertgoers	0.04078
"little leaguer"	0.0407258
Kurds	0.0407182
hemophiliac	0.0405576
"Ku Klux Klan"	0.0405518
worshipper	0.0404842
"economic expert"	0.0404669
baby-boomers	0.0403571
"Council of Guardians"	0.040355
right-winger	0.0402868
vintner	0.0402808
returnees	0.0402691
achiever	0.0402321
"European nation"	0.0402133
do-gooder	0.0401824
"political movement"	0.040096
"European Court of Human Rights"	0.0400874
neo-Nazis	0.0400377
goer	0.0400218
))
(Afro (desc 3641.42) (sims
dreadlocks	0.143667
braid	0.0993444
Beehive	0.0983462
sideburn	0.0944105
ponytail	0.0888333
"nose ring"	0.0872767
"cowboy hat"	0.0872319
moustache	0.0857525
miniskirt	0.0850045
Mohawk	0.0844206
"bow tie"	0.0843068
mustache	0.0839473
"belt buckle"	0.0818781
Beard	0.0816673
undershirt	0.0791436
goatee	0.0775785
brassiere	0.0772793
shag	0.0772335
pigtail	0.0754286
hairdo	0.074958
"hot pants"	0.0746687
"Farrah Fawcett"	0.0744763
beret	0.0708828
corduroy	0.0700953
Beatle	0.0697054
bellbottoms	0.0696254
haircut	0.0685314
pixie	0.0679653
bandanna	0.0669057
"dark glasses"	0.0667047
"leather jacket"	0.0651869
nightgown	0.0649848
smock	0.0635049
PIERCINGS	0.062899
"felt hat"	0.0628454
"cowboy boot"	0.062705
suspender	0.0621825
toupee	0.0615356
fedora	0.0609009
"straw hat"	0.060652
sneaker	0.0605165
pantsuit	0.0601337
earring	0.0600806
raincoat	0.0589825
complexion	0.0586296
headband	0.0584233
"bowler hat"	0.0575374
blond	0.0564507
wig	0.056058
sunglasses	0.0560076
knickers	0.0559337
turtleneck	0.0546741
underpants	0.0544869
handkerchief	0.0544708
tights	0.0538045
"neck brace"	0.0536573
"blue jean"	0.0535854
"pants suit"	0.0533148
"sport shirt"	0.0530254
"polo shirt"	0.0530101
"crew cut"	0.0529077
sweatshirt	0.0528467
"ski mask"	0.0527954
"margin call"	0.052368
toenail	0.052349
Spring/Summer	0.0519019
trouser	0.0517414
hand-me-down	0.0510745
bluejeans	0.050476
earpiece	0.0503475
eyelash	0.0502766
moccasin	0.0500914
"feather boa"	0.0499246
"hook shot"	0.0498315
"tennis shoe"	0.049688
necktie	0.0496781
mane	0.0496342
windbreaker	0.0493999
uptempo	0.049188
"cocktail dress"	0.0491856
sandal	0.0488187
"sports jacket"	0.0487267
mitten	0.0487266
kilt	0.0486231
"business suit"	0.0484896
overcoat	0.0484324
tress	0.0481898
dyslexia	0.0480254
"baseball cap"	0.0478424
cardigan	0.0476892
legging	0.0476839
pompadour	0.0474455
stubble	0.0473695
"hard hat"	0.0473002
"oxygen mask"	0.0469721
midriff	0.0469523
pullover	0.0468837
parka	0.0466905
bandana	0.0465649
coif	0.0465106
pantyhose	0.0459871
jumpsuit	0.0459116
hairstyle	0.0457715
"chorus line"	0.0457524
Poncho	0.0457484
"storm cloud"	0.045684
"black eye"	0.0453763
denim	0.0453279
turquoise	0.0452083
eyeliner	0.0443584
bra	0.044018
"dress shirt"	0.0438281
shawl	0.0434491
backpack	0.0433555
platinum	0.0432794
"evening dress"	0.0432667
"Michael Kors"	0.0431118
shamrock	0.0429715
headdress	0.0429497
slicker	0.0428313
garb	0.0427768
bathrobe	0.042584
skullcap	0.0425634
khaki	0.0424834
Thong	0.0424828
Tutu	0.042263
miniskirts	0.0422117
airball	0.0419738
"Star of David"	0.041967
"wedding cake"	0.0419081
splotch	0.0417591
armband	0.0416514
carnation	0.0415361
panty	0.0414807
"mink coat"	0.0414665
TPA	0.0413873
kimono	0.0413827
bracelet	0.0411172
tiara	0.0410157
"top hat"	0.0409997
"body armor"	0.0409799
pallor	0.0407172
scrim	0.0407164
"wedding dress"	0.0406201
whisker	0.0405045
curler	0.0402586
megaphone	0.0402336
drawl	0.0402274
"trench coat"	0.0402219
Talebi	0.0401571
underwear	0.0401262
"acoustic guitar"	0.0400783
bandage	0.040034
))
(Afro-Cuban (desc 1280.76) (sims
uptempo	0.215062
merengue	0.150495
Reggae	0.149114
mariachi	0.142818
Latin	0.140496
Zydeco	0.137972
SKA	0.131189
"big band"	0.124709
calypso	0.122187
samba	0.119096
klezmer	0.11369
"Orthodox Christian"	0.111854
"Eastern European"	0.109938
rhythm-and-blues	0.105945
singsong	0.100311
"North African"	0.094307
"Middle Eastern"	0.0851062
rumba	0.0847903
bluegrass	0.0845455
polka	0.0831039
Germanic	0.0827402
Tex-Mex	0.082677
Motown	0.0826199
Khmer	0.082532
honky-tonk	0.077599
trance	0.0773478
mambo	0.0761786
Hasidic	0.0755829
techno	0.0743679
"avant garde"	0.0720102
"R&AMP;B"	0.0711357
NOVA	0.0697179
punchy	0.0686037
pulsing	0.0658455
bagpipe	0.0657263
Mexican-American	0.0655499
"Orthodox Jewish"	0.0653492
bluesy	0.0647076
Sephardic	0.0641466
Yiddish	0.0629192
flamenco	0.0619377
bop	0.0617161
"free form"	0.0613864
Coptic	0.0601747
Navajo	0.058794
Hawaiian	0.0587716
"New Age"	0.057953
"French Canadian"	0.0577325
"Neil Simon"	0.056477
minstrel	0.0558829
electronica	0.0553304
Inca	0.0553073
bebop	0.0535609
Appalachian	0.0534545
Ives	0.0530192
"Patsy Cline"	0.0526096
grunge	0.0524968
anything-goes	0.0522768
Italian-American	0.0521237
"South Asian"	0.0519442
"lower class"	0.0518876
boogie	0.0508813
"West African"	0.0507277
"dance music"	0.0505957
"Tin Pan Alley"	0.0504386
Chorale	0.0502233
gangsta	0.0501856
Icelandic	0.049583
"battering ram"	0.0492559
Wagnerian	0.0490043
Maya	0.0484707
Acadian	0.0480475
Mongol	0.0476973
"high frequency"	0.04764
multilevel	0.047361
minimalist	0.0472178
percussion	0.0464154
"Beach Boys"	0.0463351
Hopi	0.0458427
ragtag	0.0457935
Hammerstein	0.0456937
twitching	0.0450416
"West Indian"	0.0448512
"Old World"	0.0446106
Provencal	0.044534
Zulu	0.0444564
seashell	0.043791
Makah	0.0437166
Banda	0.0434059
Mayan	0.0430782
harpsichord	0.0429875
Bongo	0.0424843
jigsaw	0.0424456
Bauhaus	0.0419205
hardcore	0.0418438
"popular music"	0.0415143
Catskill	0.0406273
Ailey	0.0404815
mesclun	0.0404061
"old country"	0.0403072
))
(AFTA (desc 2896.41) (sims
"ASEAN Free Trade Area"	0.327962
FTAA	0.170454
"African Economic Community"	0.154256
"Vision @@@@"	0.150049
"Free Trade Area"	0.146193
"customs union"	0.127905
"European Monetary Union"	0.122552
"Uruguay Round"	0.119655
"African Union"	0.118561
CITES	0.0959844
"international criminal court"	0.0948737
FTA	0.0941944
Ita	0.0893341
"League of Nations"	0.0888561
GATT	0.0886806
GSP	0.0884893
"START II"	0.0879714
EAC	0.087893
COMESA	0.0863979
"Lusaka Protocol"	0.0852207
oil-for-food	0.0830435
EMU	0.0809
"Kyoto Protocol"	0.079949
"East African Community"	0.0776642
D-@	0.076971
"Lusaka Peace Accord"	0.0759561
"U.N. Resolution @@@"	0.0757681
AEC	0.0752951
CWC	0.074934
"Free Trade Agreement"	0.0740835
"Erie Canal"	0.0726777
EPZ	0.0723973
"U.N. Security Council Resolution @@@"	0.0715207
"Chemical Weapons Convention"	0.0713069
"one billion US dollars"	0.0706857
G-@@	0.0704562
"Economic and Monetary Union"	0.0690612
recapitalization	0.0688612
"United Nations Convention"	0.068641
"Stability Pact"	0.0683954
convertibility	0.0682018
buyback	0.0680388
"Group of Rio"	0.0668823
eco	0.0661979
ASEM	0.0660541
workfare	0.0648536
stabilization	0.0641298
SAARC	0.0638976
Mercosur	0.0627722
"free trade"	0.0626623
"East African Cooperation"	0.0625154
"land reform"	0.0623574
electrification	0.0621675
"Nationality Law"	0.0615956
China-U.S.	0.0612775
"tax avoidance"	0.0608751
UNFPA	0.0604109
"Beijing Declaration"	0.0602364
demilitarization	0.0600302
VFA	0.0596437
IGAD	0.0595521
"Damascus Declaration"	0.059051
Liberalization	0.0577828
"Oslo Accords"	0.0576387
poliomyelitis	0.0565523
self-sufficiency	0.0562729
WEU	0.0558089
phase-out	0.0558078
NPT	0.0557877
"market reform"	0.0556971
"Andean Group"	0.0556965
ICC	0.0556068
privatisation	0.0545531
"Montreal Protocol"	0.0545342
SADC	0.0536906
industrialization	0.0536881
"collective security"	0.0535953
"contingency plan"	0.0533854
"Resolution @@@"	0.0530126
computerization	0.0530062
"U.N. Convention"	0.052538
"one billion dollars"	0.0523032
"social assistance"	0.0520565
"internal control"	0.0513904
"Group of @@"	0.0513719
"barrels per day"	0.0513679
MOU	0.0510776
Sharia	0.050939
NAFTA	0.050637
Systems	0.0506346
CRC	0.0506029
sufficiency	0.0505462
self-rule	0.0505267
"early warning system"	0.0503624
divestiture	0.0503405
"Ninth Five-Year Plan"	0.0502307
"Nuclear Non-Proliferation Treaty"	0.0499778
"Plan Colombia"	0.0499054
Ulema	0.0497459
"Market system"	0.0497102
ARF	0.049422
"Alcoholics Anonymous"	0.049413
rejuvenation	0.049403
damming	0.0493393
interagency	0.0493032
demarcation	0.0492633
CPLP	0.0491564
stayaway	0.0491534
"Multimedia Super Corridor"	0.0487571
"Clean Air Act"	0.0487473
"Sino-Portuguese Joint Declaration"	0.0487302
"rehabilitation program"	0.0486948
"Lahore Declaration"	0.0486213
"steering committee"	0.0485862
dollarization	0.0485467
"stock buyback"	0.0483856
UNTAET	0.0482882
"General Agreement on Tariffs and Trade"	0.0481818
"credit system"	0.0481807
"North American Free Trade Agreement"	0.048142
Non-Proliferation	0.0481125
"master plan"	0.0477502
"marketing program"	0.0477074
"Sino-British Joint Declaration"	0.0476813
SDS	0.0476791
PCF	0.0476244
"Operation Desert Storm"	0.0474955
KEDO	0.0474097
"ASEAN Regional Forum"	0.0472778
"Paris Club"	0.0472277
NAM	0.0471236
beautification	0.0471163
"Community Reinvestment Act"	0.0470899
"United Nations Mission"	0.0470094
Ida	0.0467388
Wye	0.0467369
"European Community"	0.0466141
"expansion plan"	0.0464249
Palestinian-Israeli	0.0464157
"shareholder value"	0.0463938
UNESCO	0.0463742
ODA	0.0462211
pullbacks	0.0461442
IGC	0.0461084
"military mission"	0.0458949
"European Council"	0.0458682
"Peace Corps"	0.0458267
CGI	0.0457458
knighthood	0.0456435
"plan of action"	0.0455368
"Beijing-Kowloon Railway"	0.0455333
Kyoto	0.0455179
"Gorges Project"	0.0454118
alleviation	0.0454052
"pilot program"	0.0453554
"value added tax"	0.0453415
"Marshall Plan"	0.0452515
"safety measure"	0.0452375
rationing	0.0451749
ILO	0.0451535
mechanization	0.045015
"Joint Declaration"	0.0450063
APEC	0.0449592
"Rio Group"	0.0449349
OCA	0.0449239
"free zone"	0.0448825
"general agreement"	0.044866
ATC	0.0446628
"Agenda @@@@"	0.0446016
"Weight Watchers"	0.0445935
easement	0.0445284
UPU	0.0444991
leprosy	0.0443593
buybacks	0.0442105
localization	0.0441042
Ironman	0.0440599
taskforce	0.0440495
"Everglades National Park"	0.043987
macro-economy	0.0439731
"monitoring program"	0.0439546
CMA	0.0439362
JMC	0.0439072
filtering	0.0439019
"over @@@ billion yuan"	0.0438794
databank	0.0438239
"maritime law"	0.0438196
"Fourth World Conference"	0.0438177
MSC	0.0438074
profit-sharing	0.0438051
ECOWAS	0.0437814
theocracy	0.0437067
self-reliance	0.0436419
barter	0.0435868
retrenchment	0.0435528
UNMOVIC	0.0434351
CTBT	0.0434097
SBA	0.0432341
Russian-U.S.	0.0431955
remediation	0.0431184
normalization	0.0431035
))
(after-hours (desc 2679.92) (sims
interbank	0.110157
pan-European	0.100426
FOREX	0.09062
intraday	0.0857119
round-the-clock	0.0849188
"penny stock"	0.0834048
entrepot	0.0817751
pre-Christmas	0.0813429
Instinet	0.0771921
business-to-business	0.0737305
Sino-Russian	0.0724961
B@B	0.0707403
"B share"	0.069329
barter	0.0679514
inter-Arab	0.0665657
videophone	0.064987
derivative	0.0642193
physicals	0.0627114
first-day	0.0621465
bullion	0.0614697
"black market"	0.0614498
"precious metal"	0.0610999
off-campus	0.0610846
"junk bond"	0.0603199
postgame	0.0601772
"Dhaka Stock Exchange"	0.0587031
"Very light"	0.0580729
backroom	0.0577206
"billion dollar"	0.057701
arbitrage	0.0574272
KSE	0.0556611
cross-Straits	0.0531824
midyear	0.0526334
third-grade	0.0523176
ten-day	0.0522955
karaoke	0.0521329
up-and-down	0.0518127
Sino-Japanese	0.0513438
repurchase	0.05102
Emulex	0.0508423
hourlong	0.0504567
Behind-the-scenes	0.0500813
"Big Board"	0.0490483
multichannel	0.0486197
mid-afternoon	0.048502
SSE	0.0483039
"short selling"	0.0481355
hands-on	0.0479101
"securities trading"	0.0479001
"open air"	0.0471914
asp	0.047156
Asia-Europe	0.0470886
second-grade	0.0468863
ECN	0.0465039
pregame	0.0464475
beanie	0.0462616
PCC	0.0461524
on-campus	0.0460626
fast-track	0.0458604
Sino-U.S.	0.0458298
"hair trigger"	0.045753
billions	0.0454724
downbeat	0.0452397
"blue note"	0.0451786
Milbury	0.0451747
DSE	0.0451596
"Cadbury Schweppes"	0.0447638
"closed-end fund"	0.044284
hipster	0.044171
"first three"	0.0435659
REIT	0.0433734
"small cap"	0.0428926
JMC	0.0426362
celeb	0.0425375
DrKoop.com	0.0424185
"Weather Information"	0.0423813
"bond trading"	0.0420825
forwarding	0.04207
"Medicare HMO"	0.0418223
IDD	0.0416946
mid-morning	0.0415305
NYSE	0.0414349
Eurobond	0.0413653
small-business	0.041183
ELEVENTH	0.0411255
Gaming	0.0408093
glitzy	0.0406812
"Sea Launch"	0.0404967
"two to four"	0.0404452
Sino-French	0.0403816
his/her	0.0403223
"Beanie Baby"	0.0402592
midafternoon	0.0402171
pro-Islamic	0.0401726
"driving school"	0.0401645
"Western European"	0.0400389
non-oil	0.0400312
JERRY's	0.0400015
))
(afterburner (desc 1103.77) (sims
reversers	0.117579
reverser	0.105163
blinder	0.102732
thruster	0.0959979
T.J	0.0926053
blinker	0.0861746
gyro	0.084039
jackscrew	0.0754664
"Border collie"	0.0735451
SDH	0.0721859
"power unit"	0.0721579
"ultraviolet light"	0.0716757
ignition	0.0704909
"gas stove"	0.0688844
spigot	0.0682556
gyroscope	0.0679405
"windshield wiper"	0.0658413
converter	0.065513
wiper	0.0652892
seatbelt	0.0649765
EKG	0.0636551
autocrat	0.0629052
endoscope	0.0627484
"Hopman Cup"	0.0624247
hairline	0.0620363
Mahomes	0.0618484
defibrillator	0.0615964
"point system"	0.0615435
"exhaust system"	0.0614517
"Van Roost"	0.0611104
"black pepper"	0.0610521
"hearing aid"	0.0609401
gearbox	0.060895
plasterboard	0.0605615
"sprinkler system"	0.0605555
headlight	0.0602534
"steam locomotive"	0.0601369
bulkhead	0.0599926
amplifier	0.0596372
"inferiority complex"	0.059085
"storm cloud"	0.0588625
"human face"	0.0587549
Filtration	0.0576232
faucet	0.0573914
potty	0.0570056
"septic tank"	0.0564773
hoof	0.0564323
apparatchiks	0.0563797
chokehold	0.0561339
"magnifying glass"	0.0560153
sheetrock	0.0559466
clunker	0.0556929
motherboards	0.0554742
hubcap	0.0554067
"Ryan Kealy"	0.0553561
"fuel system"	0.0552301
furnace	0.0546128
DiSarcina	0.0545875
Hobart	0.0545064
"bar code"	0.0544023
floodlight	0.0541737
"artificial heart"	0.0538903
"UNIX operating system"	0.0538719
"tape player"	0.0536163
"Kai Tak Airport"	0.0533921
"ventilation system"	0.0532337
"Maple Leaf Gardens"	0.0528119
autopilot	0.052764
"pocket watch"	0.0527503
nudist	0.0526068
A@@@s	0.0524398
sunscreen	0.052311
rudder	0.0522043
inhaler	0.0521629
PFC	0.0520691
sod	0.0520611
"instruction manual"	0.0520338
steering	0.0519561
"cassette recorder"	0.0518934
"landing gear"	0.0518647
hanger	0.0515834
Lan	0.0515482
linoleum	0.0511295
baby-boomers	0.0510468
stanchion	0.0509918
"local area network"	0.0509065
ECN	0.0508656
"boxing glove"	0.050841
corrosion	0.050762
"Inge de Bruijn"	0.0506069
"Boston Garden"	0.0503466
warhorse	0.0502055
stapler	0.050203
altimeter	0.0500804
"Fred Brathwaite"	0.0499714
"ballpoint pen"	0.0499369
wiseguy	0.0498301
"electric current"	0.0496438
Gaynor	0.0495846
Pruett	0.0495271
Baba	0.0495188
"Russ Ortiz"	0.049426
"Doug Johnson"	0.0494043
sealer	0.0492536
"warning light"	0.0491516
"voting machine"	0.0489631
Andreychuk	0.0489438
burner	0.0488734
"two hands"	0.0487262
orthodontist	0.0486112
"Senate Appropriations Committee"	0.0485949
"mainframe computer"	0.0485573
"Bora Milutinovic"	0.0484432
underling	0.0483948
Titleist	0.048283
"Yankee Clipper"	0.0482335
RFK	0.0482283
Intimidator	0.0481158
NCEC	0.0481146
"two fingers"	0.0480495
URL	0.0480158
"alarm system"	0.0480156
"wise guy"	0.047758
"garden hose"	0.0477501
streetlight	0.0477169
insulin	0.047715
"fire hose"	0.0476039
Medvedev	0.0474303
damper	0.0474266
"rocket engine"	0.0473113
carburetor	0.0471944
cudgel	0.0471321
Harbaugh	0.0470952
wallboard	0.0470761
Grbac	0.0469747
"air filter"	0.0469222
"identification number"	0.04685
Larsson	0.0467928
"six to eight"	0.04679
"electric light"	0.0467725
incantation	0.046702
AN-@@	0.0466068
snowmobile	0.0465501
mitochondria	0.0465251
crockery	0.0465097
classifieds	0.0463083
prizefighter	0.0463027
Uzi	0.0462322
Borbon	0.0461964
"Trent Dilfer"	0.0461126
readout	0.0460925
presure	0.0460693
"hard sell"	0.0459413
"safety belt"	0.0459341
vaudevillian	0.0458389
lampshade	0.0458304
"three pitchers"	0.0457927
"order form"	0.0456014
gasket	0.0455597
snorkel	0.045469
"water pump"	0.0454606
"electronic device"	0.0453824
Boller	0.0453752
"first nine"	0.0453384
Quill	0.0452933
"oxygen mask"	0.0452256
band-aid	0.0451608
Tyre	0.0451135
"bag of tricks"	0.044855
inbounds	0.0448143
"electrical device"	0.0446837
"air pressure"	0.0446494
"inner ear"	0.0446135
E-ZPass	0.04454
Atler	0.0444005
fastener	0.0443915
"particle accelerator"	0.0443636
Coolio	0.0443489
sloop	0.044234
G@@	0.0440801
Tools	0.0440618
"rubber boot"	0.0439978
hyphen	0.0438747
"H.D Deve Gowda"	0.0438345
twit	0.0437689
Alonzo	0.0437621
Av	0.0436776
Etherton	0.0436585
"U.N. Resolution @@@"	0.0436494
Solis	0.0436248
"W.C. Fields"	0.0436008
axle	0.0435955
Airstream	0.0435942
corrective	0.0435541
Dilfer	0.0435497
"electrical system"	0.0435219
"Tim Dwight"	0.0434924
thermometer	0.0434668
flagstone	0.0434384
"safety feature"	0.0433666
))
(aftereffect (desc 2997.63) (sims
recurrence	0.139816
brunt	0.135889
aftermath	0.12394
side-effects	0.117976
"side effect"	0.102592
aftershock	0.0968274
repercussion	0.0934459
ravages	0.0912936
severity	0.0912254
trauma	0.0911728
likelihood	0.0880156
throe	0.0832971
complication	0.0829089
enormity	0.0807424
died	0.0797179
incidence	0.0791002
ramification	0.0779266
stigma	0.0760919
onset	0.0757746
occurrence	0.0750613
fallout	0.0741375
scar	0.0728055
probability	0.0724395
spate	0.0719582
eventuality	0.0704744
spillover	0.0693423
revers	0.0690301
"nervous breakdown"	0.0666325
worsening	0.0660539
rash	0.0653006
reverberation	0.0645204
"first minutes"	0.0642705
relapse	0.0635848
infirmity	0.0634065
"first hours"	0.0629696
premonition	0.0627549
devastation	0.061952
whammy	0.0618888
toxicity	0.0614067
repetition	0.0612186
flareup	0.060709
impairment	0.0598185
"probable cause"	0.0591461
fierceness	0.0588442
"cold spell"	0.0587827
"debt problem"	0.058644
"health problem"	0.0583191
agony	0.0578052
"liquidity problem"	0.0577196
effects	0.0576361
"wear and tear"	0.0573111
curvature	0.0559923
"financial loss"	0.0558347
inkling	0.0552601
duration	0.0549657
suddenness	0.0548151
tremor	0.0544985
"lethal dose"	0.0538878
"first weeks"	0.0538409
frostbite	0.0536296
"cash crunch"	0.053534
downsides	0.0532286
flare-up	0.0531731
"incubation period"	0.0530457
seriousness	0.0526554
heatwave	0.0521223
"hot flash"	0.0513448
whiplash	0.0513447
"tax liability"	0.0508308
erosion	0.0507389
dilution	0.0506958
"asthma attack"	0.0502465
"power failure"	0.0501403
epicenter	0.0501079
"panic attack"	0.0499105
mishandling	0.0495609
eruption	0.049214
hangover	0.0488387
maw	0.0486826
makings	0.0478555
uptrend	0.0477625
deprivation	0.0476882
immensity	0.0475222
"bond rating"	0.0475004
malformation	0.0474304
"brain drain"	0.0472157
"mental disorder"	0.0470398
discomfort	0.0470094
bullishness	0.0466077
deformation	0.0466024
"chain reaction"	0.0465967
"practical application"	0.0459614
slippage	0.0458107
escalation	0.0458092
harshness	0.0457005
"accounting problem"	0.0456526
prevalence	0.0455342
inevitability	0.0455333
ignominy	0.0454052
finality	0.0454029
continuance	0.0453044
hang-up	0.0452205
anguish	0.0451004
swelling	0.0448634
breakout	0.0445109
tiredness	0.044288
potency	0.0442411
leakage	0.0440437
indignity	0.0436793
contagion	0.0435563
abnormality	0.0433779
hailstorm	0.0433035
inundation	0.0430978
heartbreak	0.0430811
disfigurement	0.0430372
residue	0.0429673
scourge	0.0428653
afterglow	0.0428391
upshot	0.0426939
applicability	0.0426669
heartache	0.0426661
"weak point"	0.0426507
curtailment	0.0425478
narrowing	0.0424342
efficacy	0.0424131
ugliness	0.0423935
arousal	0.0422832
"interest expense"	0.0422706
overcapacity	0.0422257
blockage	0.0422243
outages	0.0421448
nosebleed	0.0421226
"solar flare"	0.042074
dampness	0.042047
"bank rate"	0.0419079
dissipation	0.0418972
distinctiveness	0.0418914
hesitancy	0.0417617
"high frequency"	0.0417191
legalization	0.0415986
perpetrator	0.0415975
stomachache	0.0414732
indigestion	0.041466
turbulence	0.0414273
"skin disease"	0.0413671
regression	0.0413276
stoppage	0.0412879
falloff	0.0412849
omen	0.0412553
"lead poisoning"	0.0411941
downside	0.0411686
"meteor shower"	0.0409347
letdown	0.0409156
"health benefit"	0.0408798
vestige	0.0408751
"stage fright"	0.0408208
"economic value"	0.0407495
ifs	0.0406369
sunburn	0.0405265
deformity	0.0404604
convulsion	0.0402364
delusion	0.0401224
aftertaste	0.0400879
"chest pain"	0.0400725
"first days"	0.0400446
"cost structure"	0.0400431
))
(afterglow (desc 2818.14) (sims
glow	0.101308
euphoria	0.0659082
aftertaste	0.0658225
goofiness	0.0588702
wattage	0.0538483
"ultraviolet light"	0.0527291
wisp	0.0519311
"third night"	0.0493731
inkling	0.0471374
"radio signal"	0.0453297
aroma	0.0451415
fireball	0.0448643
"first night"	0.0437955
"radio wave"	0.0430955
aftereffect	0.0428391
sunset	0.041324
adulation	0.0410118
"video recording"	0.0406256
))
(afterlife (desc 6299.02) (sims
damnation	0.0627445
hereafter	0.0613414
"American Dream"	0.0580001
purgatory	0.0569883
reincarnation	0.0541148
immortality	0.0523282
resurrection	0.0516669
salvation	0.0503866
apocalypse	0.0473235
witchcraft	0.0445142
"promised land"	0.0444901
underworld	0.0441234
bliss	0.0436689
wholeness	0.043334
redemption	0.0432121
karma	0.0425367
"parlor game"	0.0424417
heaven	0.042241
destiny	0.0421051
adulthood	0.0415153
"leisure time"	0.0410649
"Wild Man"	0.0400995
))
(aftermarket (desc 1104) (sims
"golf equipment"	0.0832186
generics	0.0768828
"aircraft engine"	0.0750735
vending	0.0726949
dot.com	0.0725282
"consumer product"	0.0679611
forklift	0.0667967
"female body"	0.066334
aero	0.0639172
forwarding	0.0637001
"German language"	0.0629492
IC	0.0629435
pinball	0.0618014
dino	0.0616948
"Agenda @@@@"	0.0601188
Muslim-Croat	0.0595958
CDMA	0.0589783
"sheet metal"	0.0583291
"wireless telephone"	0.0568197
barbell	0.0563184
"machine tool"	0.0554204
punchy	0.0551079
videophone	0.0548677
Burnt	0.0545833
B@B	0.054525
"steam turbine"	0.0544184
weight-loss	0.054147
Webcam	0.053484
blowfish	0.0524513
midsize	0.0517815
one-night	0.051575
VCD	0.0515127
sewing	0.0509981
"data communication"	0.050914
third-grade	0.0508056
ADSL	0.0505642
"broadcast media"	0.0504912
westerain	0.0502721
subgenre	0.0499534
videogame	0.0495842
"fortune cookie"	0.0495532
timepiece	0.0494701
self-help	0.0493057
"jet engine"	0.0490863
woodworking	0.0490785
multibillion	0.0483435
"Pacific Palisades"	0.0480982
cookware	0.0478979
"New Economy"	0.0474314
Arianespace	0.0473093
"golden parachute"	0.0472566
"data processing"	0.0466061
"four key"	0.046475
"sound recording"	0.0463985
"slide rule"	0.0462142
Swimwear	0.0460785
"fuel system"	0.0458512
"road show"	0.0457938
reinsurance	0.0457914
"home appliance"	0.045541
harpsichord	0.0454949
"dry cleaning"	0.0454768
"office furniture"	0.0454731
two-night	0.0453337
"consumer electronics"	0.0452137
"disk drive"	0.0451823
REIT	0.0451341
SDH	0.0450307
needlepoint	0.0450242
wrecker	0.0449584
leasing	0.0448556
"Red Violin"	0.044852
throwaway	0.0448483
"Disney Channel"	0.0447772
zeitgeist	0.0446938
DAP	0.0446843
Braille	0.0446119
"Bay State"	0.0445245
telephony	0.0441593
Telecoms	0.0440412
"pressure cooker"	0.0439331
mem	0.0436355
"health food"	0.0432636
"building product"	0.0429575
"specialty chemical"	0.0428789
Daimler-Chrysler	0.0426088
grading	0.0426063
minicomputer	0.0421815
"Millennium Bug"	0.0420079
wraparound	0.0418912
Z@@	0.0417062
telemarketing	0.0414491
"Reagan Democrats"	0.0413621
triangulation	0.0412595
"Modern Library"	0.0410207
"Public Affairs"	0.0410194
LIMEY	0.0409898
aeronautics	0.0408577
Obilic	0.0403515
jewellery	0.040084
"local area network"	0.0400285
))
(aftermath (desc 36992.5) (sims
wake	0.22596
aftereffect	0.12394
brunt	0.108708
spate	0.104316
midst	0.101422
recurrence	0.0983569
consequence	0.0949707
fallout	0.093997
devastation	0.091537
likelihood	0.0845914
trauma	0.0827135
impact	0.0813207
effect	0.0803728
specter	0.0790846
rash	0.0770023
victim	0.0763486
spite	0.0758398
ravages	0.0758092
anniversary	0.0755019
anticipation	0.0745644
aftershock	0.0729261
possibility	0.0725003
tragedy	0.0703056
repercussion	0.0699227
severity	0.0697589
repeat	0.0679934
survivor	0.0678288
implication	0.0678012
circumstance	0.0675781
"early days"	0.0667157
outbreak	0.0665933
scene	0.0662916
disaster	0.0645982
wave	0.0638901
horror	0.0622132
heel	0.0614434
memory	0.061353
threat	0.061028
fear	0.0603603
series	0.0602464
onset	0.0596293
toll	0.0592147
string	0.0590794
brink	0.0590244
afterglow	0.0589414
"first days"	0.0589106
scandal	0.0587452
handling	0.058684
incident	0.0586587
timing	0.0585787
casualty	0.0580241
detail	0.0578394
light	0.0577545
succession	0.0576902
news	0.0575955
occurrence	0.0571234
magnitude	0.057116
verge	0.0569544
eve	0.0567935
investigation	0.0565875
turmoil	0.0561685
aspect	0.0560716
ramification	0.0557309
chaos	0.0556148
coverage	0.0551366
crises	0.0549576
shock	0.0545471
throe	0.054511
probability	0.0544991
legacy	0.0540612
danger	0.0540504
eruption	0.0539868
escalation	0.0534587
situation	0.0533615
outcome	0.0533254
calamity	0.0530561
intensity	0.0528818
context	0.0523187
epidemic	0.0522387
absence	0.0522191
scar	0.0519297
repetition	0.0518306
beginning	0.0518283
carnage	0.0517687
catastrophe	0.0517661
rumor	0.0515422
mastermind	0.0515309
prospect	0.0515002
deluge	0.0513727
ordeal	0.0512671
hardship	0.0511725
crisis	0.0510708
reverberation	0.0509397
atrocity	0.0507383
particular	0.0503824
"New Wave"	0.0493238
emergency	0.0487415
flood	0.04845
"economic crisis"	0.0484094
worst	0.048279
accident	0.0480436
condemnation	0.0479495
downturn	0.0478451
fury	0.0477774
"September @@@@"	0.0476147
remnant	0.0476112
upheaval	0.0475673
"late @@@@"	0.047546
turbulence	0.047506
"late @@@@s"	0.047281
agony	0.0471118
famine	0.0470827
drought	0.0468305
backdrop	0.0467069
"April @@@@"	0.0466698
account	0.04664
wreckage	0.0465389
conflict	0.0464929
massacre	0.046469
manner	0.0460638
recession	0.046036
pain	0.0457742
onslaught	0.045698
stigma	0.0456199
terror	0.0456176
footage	0.0452666
barrage	0.0452626
mid-@@@@s	0.0451015
violence	0.0449416
February	0.0448142
Balkans	0.0448071
rampage	0.0447877
spillover	0.0447031
decade	0.0445905
perpetrator	0.044565
inevitability	0.044473
nightmare	0.0439454
reminder	0.043925
Intensification	0.0438191
episode	0.043784
brutality	0.0435156
middle	0.0434058
unrest	0.0433548
chronology	0.0433231
enormity	0.0433043
riot	0.0432103
shooting	0.0431722
"August @@@@"	0.0430311
era	0.0430232
destruction	0.0429695
instability	0.0429641
height	0.0428849
"March @@@@"	0.0428825
holocaust	0.0428422
incidence	0.0427522
allegation	0.0426951
scenario	0.0426763
December	0.042661
confrontation	0.0426041
"October @@@@"	0.042421
adversity	0.0424144
confusion	0.0423934
replay	0.0421774
cycle	0.0420976
"November @@@@"	0.042088
shadow	0.0419174
earthquake	0.0418661
run-up	0.0418275
divorce	0.0418017
reality	0.0416934
nature	0.0416749
"second day"	0.0416513
preparation	0.0416347
humiliation	0.041628
defiance	0.0416227
epicenter	0.041481
accordance	0.0413287
"first night"	0.0413161
videotape	0.0412488
misery	0.0412425
warning	0.0411978
exodus	0.0408221
commemoration	0.0408065
significance	0.040779
extent	0.0407461
breakup	0.0406971
probe	0.0406577
violation	0.0406059
tide	0.0405911
"chain reaction"	0.0405769
explosion	0.0401552
January	0.0401253
frequency	0.0400876
mayhem	0.0400073
plight	0.0400007
))
(afternoon (desc 146949) (sims
morning	0.303243
Evening	0.279877
night	0.232823
Saturday	0.183215
Wednesday	0.181236
Friday	0.180189
Thursday	0.179815
Monday	0.177527
Sunday	0.176592
Tuesday	0.175882
day	0.148164
weekend	0.141298
summer	0.128408
week	0.126912
tonight	0.126514
today	0.125922
mid-afternoon	0.122986
Midday	0.119652
hour	0.113519
Spring	0.113287
midafternoon	0.110046
yesterday	0.109749
"last week"	0.109738
tomorrow	0.105734
evenings	0.104253
afternoons	0.104218
month	0.104096
"July @@"	0.102146
nights	0.100152
"June @@"	0.0983347
year	0.097636
"April @@"	0.0971589
mornings	0.0963719
noon	0.0944802
"Sept @@"	0.0943246
"May @@"	0.0932488
season	0.0929763
"March @@"	0.0926508
"Aug @@"	0.0923922
"Jan @@"	0.0922715
here	0.0907093
June	0.0903331
winter	0.0898718
"Nov @@"	0.0896804
"Oct @@"	0.088902
December	0.0884302
may	0.0882029
October	0.0879865
August	0.0873549
July	0.0871462
"Feb @@"	0.0858481
fall	0.085485
"two weeks ago"	0.0854084
September	0.084059
time	0.0834921
"Dec @@"	0.083353
November	0.0829398
April	0.0826803
midnight	0.0824307
"June @"	0.0808235
"second half"	0.0801907
February	0.0798218
now	0.0786117
minute	0.0783674
autumn	0.0781978
"one day"	0.0777865
January	0.0772313
"Oct @"	0.0767534
"March @"	0.0765906
weekends	0.0756266
March	0.0748533
"two years ago"	0.07414
"August @@"	0.0741048
way	0.0733548
there	0.0729356
"April @"	0.0726612
Christmas	0.0722142
"July @"	0.0721743
"third quarter"	0.0719969
"Aug @"	0.0709333
"November @@"	0.0708533
"May @"	0.0704403
"two days"	0.0689846
"first half"	0.0683592
"Dec @"	0.0682499
"October @@"	0.06792
"Sept. @."	0.0678488
"first day"	0.0677758
"Feb @"	0.0673633
"September @@"	0.0672737
"January @@"	0.0669284
"Sept @"	0.0668474
session	0.0665981
trading	0.0665175
two-hour	0.0662777
"three days"	0.0652834
"December @@"	0.0652333
"three years ago"	0.0643974
"Feb. @."	0.0640683
"May @."	0.0638669
"years ago"	0.0637988
"two months ago"	0.0632058
"week ago"	0.0631776
"two hours"	0.0626961
"April @."	0.0626255
"one night"	0.0623126
"second quarter"	0.0621683
"Nov @"	0.0619299
"a few hours"	0.0617644
game	0.0614664
"Jan @"	0.061308
"February @@"	0.0606728
"June @."	0.0598679
"July @."	0.0596025
meeting	0.0592016
"from @@@@ to @@@@"	0.0591524
decade	0.0584399
"year ago"	0.0576493
"third period"	0.0573982
"New Year's Day"	0.0569946
"second day"	0.0569793
"four years ago"	0.0568275
"Christmas Eve"	0.056454
moment	0.0562692
"Oct. @."	0.0562173
"two weeks"	0.0560025
"a few days"	0.0558596
"a few minutes"	0.0558264
weather	0.055823
"three hours"	0.0557213
home	0.0553174
"five days"	0.0542548
"five years ago"	0.054049
Summers	0.0539339
"first quarter"	0.0538176
"October @"	0.0536381
"three times"	0.0536347
"February @"	0.053314
"June @@, @@@@"	0.0531622
"New Year's eve"	0.0528695
"four days"	0.0526761
"March @."	0.0523361
"June @, @@@@"	0.0520665
round	0.0516867
"five minutes"	0.051603
"January @@@@"	0.0515721
occasion	0.0514125
"first period"	0.0512369
anywhere	0.0512203
eve	0.0509164
street	0.0508635
"second period"	0.0508449
date	0.0507106
"four hours"	0.0507091
"March @@, @@@@"	0.0506621
trip	0.0505836
quarter	0.0505144
"month ago"	0.05042
three-day	0.0504189
Thanksgiving	0.049946
"August @"	0.0497121
"three weeks"	0.0494913
"press conference"	0.0491897
"April @, @@@@"	0.0491638
"first week"	0.0488914
"January @"	0.0488673
"four years"	0.0486067
"third day"	0.0481154
"one week"	0.0480464
"four times"	0.0480166
"May @@, @@@@"	0.0479841
series	0.0479646
deadline	0.0477078
event	0.0476508
holiday	0.0475267
"about @@ minutes"	0.0472079
inning	0.0471735
"April @@, @@@@"	0.0470663
flight	0.046826
"a few years ago"	0.0467251
"two months"	0.04669
"news conference"	0.0463633
"a few weeks"	0.0462819
vacation	0.0462525
"Sept @@, @@@@"	0.0460298
"Dec @@, @@@@"	0.0458905
air	0.0458838
"two years"	0.0458684
race	0.045714
Tokyo	0.0455193
"late @@@@"	0.0451295
"May @@@@"	0.0450571
"six weeks"	0.0450408
"one hour"	0.0447592
middle	0.044637
"Jan @, @@@@"	0.0445923
"October @@@@"	0.044338
"July @@, @@@@"	0.0443313
"December @@@@"	0.0442117
"April @@@@"	0.0441853
))
("afternoon tea" (desc 1661.04) (sims
brunch	0.142411
"cocktail party"	0.121895
supper	0.107958
refreshment	0.0917516
tapa	0.0728542
"convenience food"	0.0708961
appetizer	0.0699952
"theater ticket"	0.0680557
"horseback riding"	0.066446
housekeeping	0.0634095
"happy hour"	0.063189
aperitif	0.0615949
Bingo	0.0602488
"round of golf"	0.0601047
takeout	0.0583395
lodging	0.0574166
entree	0.0571889
"tea party"	0.0568418
sleepovers	0.0554605
muffin	0.0550388
"open house"	0.0550328
"iced tea"	0.0540786
Madeira	0.053996
"hot chocolate"	0.0535343
tasting	0.0525612
"dance band"	0.0522313
sightseeing	0.0489986
matinee	0.0487983
"pumpkin pie"	0.0485489
"side dish"	0.0483369
"health food"	0.0476795
"art exhibition"	0.0469595
"game of chance"	0.0468721
lemonade	0.0467463
condiment	0.0466296
aromatherapy	0.0459184
candelabra	0.0457144
"beauty parlor"	0.0455941
"veterinary medicine"	0.045151
"wedding reception"	0.0445005
"rock concert"	0.0444261
AMM	0.0441808
"prayer service"	0.0437523
"religious service"	0.0437304
espresso	0.0429175
chiropractic	0.0427331
retrospectives	0.0426895
electrocardiogram	0.0424787
lattes	0.0424022
gumbo	0.0420807
"scrambled egg"	0.0418118
Furbys	0.0417178
"three-day event"	0.0416371
repartee	0.0412231
potluck	0.0411957
"corporate investor"	0.0410771
"Airbus @@@"	0.0407077
"theatrical performance"	0.0406707
shindig	0.0406385
smoothie	0.0405349
"evil spirit"	0.0403843
powwow	0.0402435
))
(afternoons (desc 10618.2) (sims
evenings	0.250773
mornings	0.236348
nights	0.217612
weekends	0.136598
afternoon	0.104218
Evening	0.0957444
winters	0.0908063
Summers	0.0802286
clime	0.0650474
night.	0.0637038
Sundays	0.0629307
"two nights"	0.0515555
Saturdays	0.0512169
"first day"	0.0498666
Thanksgiving	0.0490785
"three nights"	0.0476233
"time slot"	0.0474465
matinee	0.04513
"air mass"	0.0445696
Springs	0.0445117
"seven hours"	0.0443343
"one night"	0.0431528
sunshine	0.0418378
"night game"	0.0416546
tonight	0.0414698
))
(aftershock (desc 12466.7) (sims
tremor	0.2692
temblor	0.235423
Quake	0.20998
earthquake	0.188541
"volcanic eruption"	0.123671
eruption	0.120209
magnitude	0.106129
fallout	0.100459
aftereffect	0.0968274
reverberation	0.0956709
repercussion	0.0947008
Typhoon	0.0929732
tornado	0.0925458
tsunami	0.0898289
casualty	0.0871043
jolt	0.0859711
mudslide	0.0833721
epicenter	0.0827481
"forest fire"	0.0821291
landslide	0.0819633
"tidal wave"	0.0819189
outages	0.0807416
"fatal accident"	0.0805629
downpour	0.0802232
twister	0.0794176
calamity	0.0783789
explosion	0.0772568
shock	0.0769808
turbulence	0.0764618
deflation	0.0757823
snowstorm	0.075256
Snowfall	0.0746361
"Iranian POWs"	0.0737663
"rate hike"	0.0733607
aftermath	0.0729261
"power failure"	0.0728434
sandstorm	0.0727933
"rate increase"	0.0723914
rainfall	0.0715809
flare-up	0.0713882
storm	0.0711139
rainstorm	0.0703122
outbreak	0.0702315
recurrence	0.0698579
gust	0.0695809
catastrophe	0.0677341
centenarian	0.067652
disaster	0.0676479
"cold spell"	0.0675528
slowdown	0.0674024
VMs	0.0672075
brunt	0.0672017
consequence	0.0669457
exhibitor	0.0666777
disturbance	0.0663574
blackout	0.0663297
"shock wave"	0.0662158
contagion	0.0661179
spillover	0.0660653
cyclone	0.0660129
fatality	0.0651647
"Iraqi POWs"	0.0648578
disruption	0.0647794
famine	0.0647492
"interest rate increase"	0.0641868
"earnings disappointment"	0.0640646
"cold wave"	0.0633428
"price increase"	0.0633358
"bomb blast"	0.0627764
crises	0.0625787
malfunction	0.0619303
spate	0.0616471
contraction	0.0614082
Thunderstorm	0.0613337
heatwave	0.0611842
riot	0.06111
sortie	0.060906
"rate rise"	0.0608419
strongest	0.0607766
upheaval	0.0605592
"Sri Lankans"	0.0605421
spacewalks	0.0604299
drought	0.0603187
glitch	0.0600673
downturn	0.0596537
precipitation	0.0596417
turmoil	0.0594666
wellwisher	0.0594373
"break of serve"	0.0592865
recession	0.0589568
"sales outlet"	0.0589547
upturn	0.0589339
shakeout	0.0585913
miner	0.0585312
fluctuation	0.0585079
backlash	0.05833
"job cut"	0.0582718
instability	0.0582008
escalation	0.05817
mishap	0.0581624
bump	0.058039
motorcyclists	0.0577767
meltdown	0.0577579
wounded	0.0577487
detonation	0.0577367
Meteor	0.0577268
"flash flood"	0.057713
"close call"	0.0575586
"subsidiary company"	0.0573155
"Albanian Kosovars"	0.0572817
toll	0.0572681
layoff	0.0571699
Eritrean	0.0567291
revers	0.0566214
Mozambican	0.0566171
devastation	0.0565259
"Richter scale"	0.0564648
homeless	0.0564255
wildfire	0.0563181
evacuee	0.0562861
trauma	0.0560823
gunshot	0.0560599
rollovers	0.0559822
letdown	0.0558036
"bank failure"	0.0557524
probability	0.0556711
meltdowns	0.0555129
conflagration	0.0554689
intensity	0.0554285
"heat wave"	0.0553584
derailment	0.0552689
Ripple	0.0551963
devaluation	0.0549891
run-in	0.0548987
relapse	0.0548537
hurricane	0.0548393
deterioration	0.0544764
"management change"	0.0543962
Frost	0.0542622
"sonic boom"	0.0542508
crewmembers	0.0542355
Honduran	0.0542168
vacancy	0.0541678
mourner	0.0540533
slippage	0.0540099
"South Koreans"	0.0538518
volcano	0.0538148
"Hurricane Andrew"	0.0537485
reversal	0.0537106
"brush fire"	0.0536407
setback	0.053456
drownings	0.0534278
hiccup	0.0534148
detainee	0.0534001
Lebanese	0.0533305
occurrence	0.0532909
firefighters	0.0532451
Collision	0.0532424
epidemic	0.0531278
"temperature change"	0.0530348
"employment report"	0.0530043
stiffness	0.0528833
warming	0.0528724
policemen	0.0526913
deserter	0.0526078
"miles per hour"	0.0523851
stoppage	0.0523568
tragedy	0.0522826
protestor	0.0522598
break-in	0.0522361
"rate cut"	0.0521986
sell-off	0.0520797
businesspeople	0.0519041
ramification	0.0519037
"brain wave"	0.0517872
defection	0.0516467
likelihood	0.0515038
complication	0.0515015
unrest	0.0514628
Bosnians	0.0514468
"fire engine"	0.051428
"industrial enterprise"	0.0514128
"test-tube baby"	0.0513077
vibration	0.0511596
well-wisher	0.0510898
skirmish	0.0510359
shortfall	0.0509452
upsurge	0.0508083
"political prisoner"	0.0507562
Haitian	0.050754
scarcity	0.0507276
"fire truck"	0.0507251
disorientation	0.0507232
"high temperature"	0.0506425
exodus	0.0505271
Tightening	0.0504591
dislocation	0.0502503
outflow	0.0502205
chaos	0.050207
years.	0.0501507
))
(aftertaste (desc 3219.91) (sims
odor	0.12459
aroma	0.104219
smell	0.098663
undertone	0.0799552
whiff	0.076203
scent	0.0716081
tannin	0.0711035
afterglow	0.0658225
"singing voice"	0.0648123
undercurrent	0.063714
disharmony	0.0622905
inkling	0.0621834
residue	0.0613809
indentation	0.0613524
heatwave	0.0604967
overtone	0.0601496
sweetness	0.0599188
tint	0.0598658
twinge	0.0568263
impurity	0.0554789
Tuber	0.055319
tinge	0.054783
side-effects	0.0546036
earthiness	0.0541128
hangover	0.0519783
"inferiority complex"	0.0514213
bouquet	0.0501522
sheen	0.0499829
"proxy fight"	0.0493604
acidity	0.0484365
"oil slick"	0.0483337
smooch	0.0479144
Fragrance	0.0469589
epigram	0.0469261
timbre	0.0464765
bedfellow	0.0464425
nuttiness	0.0463091
smoothness	0.0455453
stench	0.0455001
tang	0.0454589
intonation	0.0450671
imperfection	0.0448085
coincidence	0.0446613
"registration number"	0.0443284
typo	0.0441085
"direct evidence"	0.0437489
tangent	0.043637
"credit history"	0.0433273
stigma	0.0430025
"bad blood"	0.0427952
"cold wave"	0.0425192
"difference of opinion"	0.0424649
abnormality	0.0424126
"welfare worker"	0.0423445
connotation	0.0420581
hiccup	0.0420549
nuance	0.0419284
premonition	0.0417692
harangue	0.041531
"milk chocolate"	0.0415132
tidings	0.0411888
flavoring	0.0410597
crispness	0.0408443
citrus	0.0408327
"root vegetable"	0.0403139
"preconceived notion"	0.040172
"dog days"	0.040167
aftereffect	0.0400879
))
(afterthought (desc 9986.11) (sims
pariah	0.0739149
anticlimax	0.0702824
anachronism	0.0694943
aberration	0.0673062
fluke	0.0670371
"important person"	0.0591257
no-brainer	0.0582904
cakewalk	0.0572304
outcast	0.0552367
anomaly	0.0551335
sideshow	0.0544167
oxymoron	0.0533009
has-been	0.0525131
"hot potato"	0.0518885
nonevent	0.0514198
fad	0.0507118
underdog	0.0488133
"sitting duck"	0.0482871
nonentity	0.0474226
"waste of time"	0.046726
paradox	0.0459871
shoo-in	0.045384
"turning point"	0.045036
heretic	0.0445904
also-ran	0.0445578
obstructionist	0.044025
"cash cow"	0.04385
"decisive factor"	0.0437569
underachiever	0.0437045
birthright	0.0436987
"determining factor"	0.0433886
"focal point"	0.0429725
recluse	0.0429308
"dead end"	0.04254
oversimplification	0.0422542
distraction	0.0419956
linchpin	0.0418332
"center of attention"	0.041715
dilettante	0.0416428
pittance	0.0415899
"lame duck"	0.0413801
cog	0.0411823
pastime	0.0411528
motivator	0.0411477
enigma	0.0410175
"deja vu"	0.0409889
scapegoat	0.0409713
cipher	0.0405179
hobby	0.040382
))
(afterword (desc 1832.68) (sims
preface	0.198465
foreword	0.175301
epilogue	0.104919
addendum	0.0951746
encyclical	0.0871137
"Eddie Mathews"	0.0792302
"newspaper column"	0.0713431
longhand	0.0699191
postscript	0.0679921
"legal brief"	0.0666417
"magazine article"	0.0664083
"instruction manual"	0.0635467
booklet	0.0615111
monograph	0.0574195
op-ed	0.0568402
"Bobby Orr"	0.0565518
"Yediot Ahronot"	0.0551383
"Johnny Bench"	0.0546259
"short story"	0.0540547
"musical score"	0.0540535
"Warren Spahn"	0.0532643
"Village Voice"	0.053045
Moby-Dick	0.0521157
rebuttal	0.0520239
"Sydney Morning Herald"	0.051893
"adventure story"	0.0516735
"Stan Musial"	0.0515069
annotation	0.0513227
"open letter"	0.0510878
co-owned	0.0510163
Braille	0.050974
"New Republic"	0.0509055
caption	0.0507671
coda	0.0497007
"Denver Post"	0.0492088
Bibliography	0.0490204
"Wear Daily"	0.0485595
"South China Morning Post"	0.0483754
"Cliffs Notes"	0.048184
"Ernie Banks"	0.0479106
"New York Observer"	0.0474884
"Robin Yount"	0.0474467
Maariv	0.0470956
footnote	0.0470262
Koran	0.04646
"Rolling Stone"	0.0464315
"piece of music"	0.0463768
"sound effect"	0.0453234
libretto	0.0452727
"Dale Murphy"	0.0451612
sonnet	0.0451283
"inside track"	0.0450942
"New York Review"	0.0450352
"blank check"	0.0449755
appendix	0.0443732
"sheet music"	0.0439681
"newspaper article"	0.0437533
guidebook	0.0434845
"Don Drysdale"	0.0432698
recitative	0.0427738
obituary	0.042704
fierceness	0.0425938
obit	0.0425274
"reference book"	0.0421905
Newsday	0.0415389
oration	0.0412846
"present tense"	0.041124
"price list"	0.041072
hardback	0.0408732
"official document"	0.0401921
))
(AG (desc 2425.35) (sims
"Volkswagen AG"	0.0808296
"Siemens AG"	0.0765481
Hynes	0.073365
Thyssen	0.0711994
Marconi	0.0696641
"Thomson CSF"	0.0682375
BLM	0.0669645
D.A.	0.0646789
Chancellor-elect	0.0640231
Koskinen	0.0636067
Elf-Aquitaine	0.0618742
NLRB	0.061841
Morgenthau	0.0596605
"Daimler-Benz AG"	0.0588456
Ruthardt	0.0580094
"Attorney General"	0.05607
DFG	0.05553
CEC	0.0554144
Daimler-Benz	0.0549933
"Vodafone Airtouch PLC"	0.0537983
"UBS AG"	0.0536825
"Deutsche Bank AG"	0.0535696
Sheehy	0.0535503
UBS	0.0530253
"Mattel Inc."	0.0527288
aerospace	0.0525231
Westendorp	0.0518206
"key rate"	0.0513846
HSBC	0.0510007
"Credit Suisse"	0.0509546
"investment banking"	0.0507558
"Martin Schmitt"	0.0498635
"Free Democratic Party"	0.049333
Galvin	0.0490293
"El Pais"	0.0489828
Hayworth	0.0487998
CSC	0.0484095
Aegon	0.0482575
"HSBC Holdings"	0.0481337
Siemens	0.0479588
Generali	0.047876
"Renault SA"	0.047815
REALTY	0.0477357
"Dresdner Bank"	0.0475311
AOC	0.0475106
"Volvo AB"	0.0475091
Folsom	0.0470816
attorney-General	0.0465783
"Mannesmann AG"	0.0465425
Totalfina	0.0464861
Mannesmann	0.0464578
"Aerospatiale Matra"	0.0461753
GSS	0.0461457
KPN	0.0460017
Eni	0.0459682
Nakajima	0.0459446
"Royal Dutch/Shell"	0.045859
"consumer product"	0.0454524
MiniMed	0.0453668
"Orange PLC"	0.0450226
"Education Department"	0.0446442
UNAMET	0.0446344
HHS	0.0446069
SDPC	0.0444617
"state's attorney"	0.0442566
Salam	0.0442315
Okinawan	0.0442015
Hevesi	0.0441891
"Israeli Foreign Ministry"	0.0440055
"Transportation Department"	0.0440011
DAX	0.043817
"U.S. Defense Department"	0.0436804
Toysmart	0.0435787
DEA	0.0435775
EEOC	0.043326
Verniero	0.0432901
IRC	0.043282
Hyundai	0.0430901
DEP	0.0427003
Lockyer	0.042485
leasing	0.0423747
assessor	0.0423649
Arianespace	0.0423241
"British Foreign Office"	0.0417416
"Abu Nidal"	0.0413613
"Lee Hsien Loong"	0.0412761
VW	0.0412199
"postmaster general"	0.0411404
"surgeon general"	0.041117
Yukos	0.040978
Lukoil	0.0406129
RWE	0.0406078
Ghalib	0.0405843
Allianz	0.0404685
Aerospatiale	0.0404253
"U.S. Agriculture Department"	0.0403843
Hallinan	0.040329
CAA	0.0402599
Ombudsman	0.0401747
"telephone operator"	0.0401186
))
(again (desc 3066.44) (sims
"Law &AMP; Order"	0.106919
Frasier	0.0714997
Sorkin	0.0681873
Roswell	0.064227
"Sports Night"	0.0625942
"Los Angeles Daily News"	0.0619871
"Will &AMP; Grace"	0.0611887
"Ally McBeal"	0.0579175
Zuelle	0.0564456
"Vampire Slayer"	0.0513191
X-Files	0.0501338
"NYPD Blue"	0.0489126
"situation comedy"	0.0471841
"Steven Bochco"	0.0469454
Fernandes	0.0459081
"Everybody Loves Raymond"	0.0458028
Felicity	0.0458006
"Dateline NBC"	0.0444013
"Philippine Stock Exchange"	0.0440698
Simpsons	0.0439929
newsmagazines	0.0439525
"Volleyball Championship"	0.0437331
Insulza	0.0432456
"Viacom Inc."	0.0432441
"Golf Channel"	0.0431739
UPN	0.0429273
Cupid	0.0428549
"Martin Sheen"	0.0424597
Seinfeld	0.0419963
Donnan	0.0417833
Ruehe	0.0417778
VH@	0.0417161
brimstone	0.0416053
"Bora Milutinovic"	0.0413785
"Dhaka Stock Exchange"	0.0413767
decker	0.040666
"Hong Kong Stock Exchange"	0.0406434
Tsang	0.0405944
shindig	0.040342
"Entertainment Weekly"	0.0402202
"Get Real"	0.040109
"Larry Sanders Show"	0.0400776
))
(agaisnt (desc 1051.51) (sims
Code-named	0.0642843
"Kosovar Albanian"	0.0629868
al-Hariri	0.0609971
Telkom	0.0518486
Maj.-Gen.	0.0482818
"up to @@@@"	0.0465045
"Blackburn Rovers"	0.0459054
raloxifene	0.0453788
"ocean current"	0.0453569
legionnaire	0.0448306
Pertamina	0.0447984
"Ernie Zampese"	0.0441655
PLN	0.042946
Al-Faisal	0.0422419
"Dynamo Kiev"	0.0412104
airstrike	0.0411553
"Shiite Muslim"	0.0405265
"Roosevelt Johnson"	0.0403827
))
(Agarkar (desc 1532.54) (sims
MacGill	0.303709
Kumble	0.261793
Headley	0.20199
Akram	0.186255
Kallis	0.177778
Gough	0.173188
Muralitharan	0.171904
Mullally	0.153755
Chopra	0.15371
"Glenn McGrath"	0.150129
"Ricky Ponting"	0.141291
Anil	0.139232
McGrath	0.134933
Dillon	0.133291
Cronje	0.132295
"Damien Fleming"	0.131385
"Ian Healy"	0.121625
Lehmann	0.116846
Cairns	0.111439
"Ijaz Ahmed"	0.110476
Donald	0.0986631
Hooper	0.0982064
Ambrose	0.0965895
Venter	0.0929824
Fleming	0.0927651
Pollock	0.0923187
McLean	0.0920833
Tendulkar	0.0875393
"Wasim Akram"	0.0866243
lbw	0.0863153
Cork	0.0845059
"Stuart MacGill"	0.0791859
"Steve Waugh"	0.0787563
"Mark Waugh"	0.0778694
Croft	0.0765621
Julian	0.0750495
McMillan	0.0723455
"Justin Langer"	0.0701619
"Carl Hooper"	0.0622254
"Moin Khan"	0.0612294
Op	0.0603071
Ramprakash	0.0579992
Okada	0.0570008
"Shaun Pollock"	0.0561607
Sato	0.0528397
"Salim Malik"	0.0505832
"Bill Haselman"	0.0504543
NU	0.049776
Edmondson	0.0488078
Malik	0.0484802
corinthian	0.0468316
"Hansie Cronje"	0.0447372
"L.A Lakers"	0.0446489
Necaxa	0.0443674
Independiente	0.0435944
Gayle	0.0432345
Hudek	0.0427899
"Jorge Fabregas"	0.0427
Polynice	0.0421063
Polti	0.0417889
dlr	0.0408613
Iona	0.040577
"Jacques Kallis"	0.0404182
Runyan	0.0402648
))
(Agassi (desc 28119.2) (sims
"Andre Agassi"	0.274398
Sampras	0.261457
Hingis	0.253391
Seles	0.248739
Kafelnikov	0.24162
Henman	0.228739
"Pete Sampras"	0.228392
Davenport	0.224583
Moya	0.21698
Novotna	0.213309
"Lindsay Davenport"	0.211983
"Patrick Rafter"	0.210367
"Yevgeny Kafelnikov"	0.207059
Krajicek	0.205395
"Marcelo Rios"	0.201896
Corretja	0.199773
"Venus Williams"	0.198838
"Goran Ivanisevic"	0.198221
Rafter	0.195713
rios	0.195457
"Michael Chang"	0.193926
"Martina Hingis"	0.192306
"Steffi Graf"	0.191408
Rusedski	0.189945
"Monica Seles"	0.189299
Kuerten	0.188213
Ivanisevic	0.187516
"Thomas Enqvist"	0.187031
"Carlos Moya"	0.184192
"Richard Krajicek"	0.18131
"Todd Martin"	0.180531
"Tim Henman"	0.178537
Philippoussis	0.178029
"Boris Becker"	0.174202
"Alex Corretja"	0.173316
"Greg Rusedski"	0.170916
Enqvist	0.16778
"Serena Williams"	0.166233
"Mary Pierce"	0.166022
"Gustavo Kuerten"	0.165469
"Thomas Muster"	0.165392
Tauziat	0.165124
Chang	0.162928
Capriati	0.16147
Pioline	0.161453
Bjorkman	0.161276
"Conchita Martinez"	0.160857
"Jana Novotna"	0.159375
"Cedric Pioline"	0.159197
Safin	0.159015
"Jim Courier"	0.158482
Graf	0.156388
"Karol Kucera"	0.156196
Muster	0.155817
Korda	0.155806
"Sanchez Vicario"	0.15425
Kucera	0.154242
"Petr Korda"	0.15261
Sanchez-Vicario	0.151758
"Magnus Norman"	0.149337
"Wayne Ferreira"	0.148722
Kournikova	0.147262
"Jonas Bjorkman"	0.146997
"Amanda Coetzer"	0.145685
"Anke Huber"	0.145654
Serena	0.145518
Huber	0.144251
"Nathalie Tauziat"	0.143799
"Arantxa Sanchez Vicario"	0.143067
Majoli	0.142549
Becker	0.142385
"Mark Philippoussis"	0.142197
Gambill	0.141132
"Arantxa Sanchez-Vicario"	0.140879
"Felix Mantilla"	0.138889
"Tommy Haas"	0.137954
Coetzer	0.136119
"South African Amanda Coetzer"	0.135997
"Sandrine Testud"	0.135686
"Russian Yevgeny Kafelnikov"	0.135468
"Alberto Berasategui"	0.134914
"Byron Black"	0.134783
Testud	0.134776
"Pat Rafter"	0.133849
"American Todd Martin"	0.132856
"Thomas Johansson"	0.132091
"Irina Spirlea"	0.131501
Spaniard	0.131416
"Nicolas Kiefer"	0.131107
"American Andre Agassi"	0.130491
"American Chanda Rubin"	0.13043
Kiefer	0.130373
Mauresmo	0.13031
"Iva Majoli"	0.129857
"Albert Costa"	0.129103
"Marc Rosset"	0.128932
"Australian Mark Philippoussis"	0.128837
Siemerink	0.128754
"Anna Kournikova"	0.128032
"Patty Schnyder"	0.127844
"American Lindsay Davenport"	0.126775
"Sergi Bruguera"	0.126548
Ferreira	0.12635
"American Michael Chang"	0.126077
"Dominique Van Roost"	0.125996
Pierce	0.124878
Stoltenberg	0.124766
"Van Roost"	0.12453
"Andrei Medvedev"	0.124194
"American Pete Sampras"	0.123524
"Marat Safin"	0.122952
"Ai Sugiyama"	0.122466
Mantilla	0.12066
Gustafsson	0.11944
Williams	0.11813
"Stefan Edberg"	0.116052
McEnroe	0.115955
courier	0.11438
"MaliVai Washington"	0.114324
Sugiyama	0.114285
"Jennifer Capriati"	0.114242
Schnyder	0.113776
"Magnus Gustafsson"	0.112795
wildcat	0.111842
"Richard Fromberg"	0.111525
"Julie Halard-Decugis"	0.110797
Zvereva	0.110119
"Chanda Rubin"	0.10976
"Scott Draper"	0.109618
martin	0.108423
UConn	0.108257
Rosset	0.108052
Connors	0.107879
Gimelstob	0.10781
Bruguera	0.107616
"Jan-Michael Gambill"	0.10673
"Todd Woodbridge"	0.106603
"blue devil"	0.105786
"Natasha Zvereva"	0.105572
"Jason Stoltenberg"	0.1054
Woodforde	0.105054
"Gong Zhichao"	0.104314
"Mark Woodforde"	0.103919
Swede	0.103825
"Lleyton Hewitt"	0.103786
"Magnus Larsson"	0.103645
Medvedev	0.103503
"Alex O'Brien"	0.103038
Waldner	0.102819
Hewitt	0.10218
Purdue	0.102092
Berasategui	0.101329
Norman	0.10113
"Ye Zhaoying"	0.10104
"Francisco Clavet"	0.100878
"Ruxandra Dragomir"	0.100288
"Barbara Schett"	0.0999949
husky	0.0998445
Martinez	0.099744
"Michael Stich"	0.0985059
"Elena Likhovtseva"	0.0978481
"John McEnroe"	0.0973512
Spadea	0.0972912
"Ohio State"	0.0971282
"Fernando Meligeni"	0.0968099
Ulihrach	0.0967431
"Andrea Gaudenzi"	0.0963575
Johansson	0.09608
Duval	0.0957914
"Lisa Raymond"	0.0957565
Haas	0.0955597
Boilermakers	0.0952472
Venus	0.0951509
"Nicolas Lapentti"	0.0950454
"Peter Gade Christensen"	0.0950062
"Tiger Woods"	0.0945765
"Wayne Black"	0.0945168
"Michigan State"	0.0944358
Spirlea	0.0942661
Halard-Decugis	0.094107
"Mary Joe Fernandez"	0.0936219
"Mariano Puerta"	0.0935953
Costa	0.0929002
"De La Hoya"	0.0927756
Schett	0.0925562
"Dominik Hrbaty"	0.0924689
Devers	0.0924309
Kwan	0.0920383
"Tar Heels"	0.0915471
"Leander Paes"	0.0914843
"Tamarine Tanasugarn"	0.0913216
"Kenneth Carlsen"	0.091315
"Fabrice Santoro"	0.0900571
Kroslak	0.0899885
Dragomir	0.0899643
"Brenda Schultz-McCarthy"	0.0896456
"Weber State"	0.0896067
"Anne-Gaelle Sidot"	0.0893002
Edberg	0.0890572
"Jimmy Connors"	0.0890368
))
(agave (desc 2131.35) (sims
Milkweed	0.104988
hibiscus	0.0976847
cactus	0.0897183
sugarcane	0.083468
"prickly pear"	0.0824782
oleander	0.0818605
gardenia	0.0798617
poppy	0.0787072
coca	0.0786151
tequila	0.077577
"opium poppy"	0.0763051
Yucca	0.0750576
"sugar cane"	0.0720392
grape	0.0716799
clam	0.0714179
poinsettia	0.0708742
fescue	0.0696683
apricot	0.0694782
alfalfa	0.068042
LNG	0.0672937
Mulberry	0.0672364
"electric power"	0.0669491
Mesquite	0.0661996
bougainvillea	0.0657761
clover	0.0650667
hydrangea	0.063855
pansy	0.0634457
GUAVA	0.0623598
eyeshadow	0.0621794
Tuber	0.062105
camellia	0.0608719
blueberry	0.0608434
hay	0.06067
"passion fruit"	0.0603479
buckwheat	0.0601608
Tropicana	0.0599114
cabbage	0.0598306
maize	0.0594675
flax	0.0586231
"electrical power"	0.058257
amaryllis	0.0581061
"morning glory"	0.0576807
pumpkin	0.0565669
Filtration	0.0563849
"sweet corn"	0.055679
radish	0.0553809
Burley	0.0552335
Snapple	0.0546985
"dress uniform"	0.0544548
nettle	0.0540957
acorn	0.0538406
boxwood	0.0538187
"about @@,@@@ acres"	0.0537675
oilseed	0.0536501
desalination	0.0534602
"coffee bean"	0.0521913
sorghum	0.0514706
peony	0.0511428
"heating oil"	0.0507253
seedling	0.0506768
Deet	0.050674
cashew	0.0500779
Gadsden	0.0498064
"hot pepper"	0.0498011
biogas	0.0497707
cottonwood	0.0496887
Quince	0.0495939
"office furniture"	0.0495929
"coca crop"	0.04952
cane	0.0493976
ammo	0.0492335
orchid	0.0491807
Oak	0.0491327
azalea	0.0488916
"M&AMP;Ms"	0.0488368
Kool-Aid	0.0485655
"tap water"	0.0483385
"train ticket"	0.0481716
beet	0.048023
"sugar beet"	0.04797
sunflower	0.047953
icicle	0.0470504
honeysuckle	0.0470068
mango	0.0468032
"Ocean Spray"	0.0467981
corduroy	0.0467451
"fresh food"	0.0466432
merlot	0.0466174
willow	0.0463556
markup	0.0463431
wristband	0.0462676
plantain	0.0461849
"relative humidity"	0.046041
oxen	0.045967
"equity stake"	0.045952
led	0.0457662
hemp	0.0456347
"ground beef"	0.045459
"Honda Accord"	0.0452687
millstone	0.0452679
ginseng	0.0452142
Galapagos	0.0450602
polyester	0.044983
Maple	0.0447615
cassava	0.0447112
hedgehog	0.0444335
"window box"	0.0442365
tritium	0.0441799
Furbys	0.0440559
ethanol	0.0440503
FOREX	0.0438595
"food coloring"	0.0436661
F-P	0.0436201
heavens	0.0434454
surtax	0.0433387
melon	0.042978
heirloom	0.0428567
"tea leaf"	0.0428189
barley	0.0428135
"Vidalia onion"	0.0427173
licorice	0.0427016
"cat food"	0.0426085
Picassos	0.0424845
"sea cucumber"	0.0422828
harvester	0.0422293
emulator	0.0421882
ragweed	0.0420972
algae	0.0420363
sauerkraut	0.0419067
"B vitamin"	0.0418054
"ownership stake"	0.0417604
"over $@@ billion"	0.0417573
pomegranate	0.0415278
"wheat flour"	0.0414654
pecan	0.0414238
mesclun	0.0411693
Astroturf	0.0409007
vermiculite	0.0407757
raspberry	0.0407718
"anti-dumping duty"	0.0407221
hummingbird	0.040679
opium	0.0404826
blackberry	0.0403864
cannabis	0.0403349
"liquefied natural gas"	0.0401768
))
(Agbayani (desc 2721.98) (sims
Cirillo	0.252845
Rolen	0.234217
"Benny Agbayani"	0.217483
Olerud	0.212095
Alfonzo	0.211976
Ordonez	0.207036
Lankford	0.204677
Higginson	0.199988
Mora	0.199718
Abreu	0.195575
"Damian Miller"	0.194736
Alicea	0.194205
Burnitz	0.193299
Renteria	0.192652
Cedeno	0.192614
grieve	0.190447
"Brian McRae"	0.1885
"Matt Lawton"	0.187385
"Edgardo Alfonzo"	0.187268
Tatis	0.186032
Baerga	0.184952
Aurilia	0.183597
"Marvin Benard"	0.181029
"Jeff Conine"	0.179782
DeShields	0.178846
Glaus	0.178788
Karros	0.178664
"Eric Owens"	0.178228
"Derrek Lee"	0.176705
Vidro	0.175683
"Jeff Cirillo"	0.173915
Bordick	0.173336
"John Olerud"	0.171183
"Mark Loretta"	0.170323
Valentin	0.168885
"Chris Gomez"	0.167766
Fullmer	0.167511
Giambi	0.166649
Hollins	0.166497
"Dave Hansen"	0.164414
Glanville	0.164106
Lieberthal	0.16293
"Troy Glaus"	0.162591
"Bobby Abreu"	0.162577
Beltran	0.162446
"Henry Rodriguez"	0.16212
"Scott Spiezio"	0.161612
"Bruce Aven"	0.161247
"Deivi Cruz"	0.160181
"Lance Berkman"	0.160133
"Rich Aurilia"	0.158869
"Ron Coomer"	0.158158
"John Vander Wal"	0.157301
"David Ortiz"	0.157061
Fryman	0.156132
Klesko	0.154299
"Roger Cedeno"	0.153536
"Melvin Mora"	0.15318
Brosius	0.153143
Catalanotto	0.151426
"Kevin Young"	0.151316
"Bill Mueller"	0.150995
Erstad	0.150848
"Dean Palmer"	0.150165
"Todd Pratt"	0.149384
Hidalgo	0.149379
Guillen	0.149031
"Jon Nunnally"	0.148647
"Eddie Taubensee"	0.148582
"Miguel Cairo"	0.148306
"Butch Huskey"	0.147706
Alomar	0.147416
"Bengie Molina"	0.147344
"Paul Konerko"	0.147054
"Mickey Morandini"	0.146896
"Lenny Harris"	0.146814
"Marquis Grissom"	0.146608
"Jose Offerman"	0.14657
"Jeff Kent"	0.146251
"Cristian Guzman"	0.146215
Zeile	0.145608
"Damian Jackson"	0.145293
Lawton	0.144491
Batista	0.144424
"Tom Goodwin"	0.144234
"Jay Payton"	0.144103
"Jose Valentin"	0.143785
"Rickey Henderson"	0.143668
Ledee	0.143562
"Luis Lopez"	0.143534
"Mike Sweeney"	0.14349
Bagwell	0.143193
"Danny Bautista"	0.143086
"Robin Ventura"	0.142985
"Jose Vidro"	0.142839
Dellucci	0.142513
Grudzielanek	0.142313
Spiers	0.142258
Bragg	0.142169
"Darryl Hamilton"	0.142014
Offerman	0.141842
"Geoff Jenkins"	0.141288
"Mark Kotsay"	0.140901
"Matt Franco"	0.140833
Lugo	0.140059
"Dave Martinez"	0.140031
"Richie Sexson"	0.140003
"Scott Brosius"	0.139863
"Vladimir Guerrero"	0.139671
"Eric Karros"	0.13931
Randa	0.13921
"Joe McEwing"	0.139032
Dunston	0.138995
Biggio	0.13855
"Adam Kennedy"	0.138529
Palmeiro	0.137822
"Preston Wilson"	0.137791
"Ruben Rivera"	0.137765
Lofton	0.13764
"Carlos Lee"	0.137262
"Warren Morris"	0.136892
"Dmitri Young"	0.136723
"Tony Graffanino"	0.136558
Surhoff	0.136474
"Ken Caminiti"	0.135789
"Joe Randa"	0.135703
"Bill Spiers"	0.135536
"Scott Rolen"	0.135509
Hatteberg	0.135151
"Bobby Higginson"	0.134966
"Craig Biggio"	0.134848
"Rondell White"	0.134686
Huskey	0.134204
"Miguel Tejada"	0.133961
"Mike Bordick"	0.133667
Veras	0.133045
"Keith Lockhart"	0.132984
"Jose Hernandez"	0.132884
"J.T Snow"	0.132846
"Kurt Abbott"	0.132734
Daubach	0.132731
"Eric Chavez"	0.132452
Gilkey	0.132094
"Mike Lieberthal"	0.132064
Varitek	0.131655
"Wally Joyner"	0.131059
"Phil Nevin"	0.130882
"Neifi Perez"	0.130693
"Russ Johnson"	0.12954
Knoblauch	0.129533
"Derek Bell"	0.129384
"Johnny Damon"	0.129199
"Charles Johnson"	0.128747
Counsell	0.128691
Jeter	0.128615
Bautista	0.128609
"Jay Bell"	0.128517
Castilla	0.128259
"Orlando Palmeiro"	0.128238
Thome	0.128218
"Adrian Beltre"	0.127974
Sexson	0.127914
"Ray Durham"	0.127864
"Andy Fox"	0.12783
"Travis Fryman"	0.127699
Brogna	0.12768
"Fred McGriff"	0.127666
"Tony Eusebio"	0.127171
McGriff	0.127118
"Javy Lopez"	0.127102
"Tino Martinez"	0.126672
"F.P Santangelo"	0.12667
"Jose Guillen"	0.126166
Sojo	0.126102
Furcal	0.125958
"Todd Helton"	0.125663
"Richard Hidalgo"	0.125439
Nevin	0.125211
"Frank Thomas"	0.124842
Frye	0.123847
"Ricky Ledee"	0.123725
McLemore	0.123172
Taubensee	0.123011
"Chris Widger"	0.122918
"Ron Gant"	0.122913
Delgado	0.12282
"Jason Giambi"	0.122818
Tejada	0.122688
"Chipper Jones"	0.122644
"Todd Hollandsworth"	0.122557
"Jim Thome"	0.12246
"David Bell"	0.122403
Velarde	0.122303
"John Valentin"	0.122259
"Gary DiSarcina"	0.122225
"Dante Bichette"	0.122076
"Mike Piazza"	0.121936
"Rey Ordonez"	0.121859
"Herbert Perry"	0.121804
"Jeff Huson"	0.12155
"Will Clark"	0.121519
"Kelly Stinnett"	0.121386
"Brian Giles"	0.121342
"Jeff Bagwell"	0.121268
"Matt Stairs"	0.121113
"Eddie Perez"	0.121085
"Pat Burrell"	0.120938
"Tony Batista"	0.120852
"Luis Alicea"	0.12071
"Todd Walker"	0.120631
"Kevin Jordan"	0.120295
Kapler	0.119962
"Travis Lee"	0.119957
"Andruw Jones"	0.119652
Posada	0.119571
Caminiti	0.119498
"Chad Curtis"	0.119327
"Jeffrey Hammonds"	0.119318
"Matt Walbeck"	0.119034
"Ozzie Guillen"	0.118971
"Fernando Vina"	0.117924
Leyritz	0.117823
"Harold Baines"	0.117568
Garciaparra	0.117537
"Cliff Floyd"	0.116966
Canseco	0.116929
"Mark Grace"	0.116696
"Bret Boone"	0.11654
Bichette	0.116158
"Alex Gonzalez"	0.115818
"Mark McLemore"	0.115475
"Jorge Posada"	0.115409
"Jason Kendall"	0.115387
"Ryan Klesko"	0.115362
"Paul Bako"	0.114503
"Darren Lewis"	0.114477
Beltre	0.11442
"Brian Jordan"	0.114401
"Garret Anderson"	0.114155
"Edgar Martinez"	0.114134
Segui	0.114059
"Brad Fullmer"	0.114025
Elster	0.113952
"Darin Erstad"	0.113918
"Jim Leyritz"	0.113911
Javier	0.113858
"Todd Zeile"	0.113799
"Mark Grudzielanek"	0.113794
"Brian Daubach"	0.113743
"Jason Varitek"	0.113663
"Brian Hunter"	0.113626
"Pat Meares"	0.113534
"Sean Casey"	0.11326
Cordero	0.112507
"Stan Javier"	0.112476
"Luis Gonzalez"	0.112395
"Aaron Boone"	0.112306
"Omar Vizquel"	0.112302
"Sandy Alomar"	0.112092
Mondesi	0.111981
Guzman	0.111965
Buford	0.111907
McRae	0.111875
"Terrence Long"	0.111812
"Bernie Williams"	0.111507
"Jay Buhner"	0.11149
"Chuck Knoblauch"	0.111359
"Reggie Jefferson"	0.111079
Easley	0.111026
"Kenny Lofton"	0.110913
"Chili Davis"	0.110779
"Tony Phillips"	0.110657
"Edgar Renteria"	0.110478
"Doug Glanville"	0.110462
"Rey Sanchez"	0.110247
"Randy Velarde"	0.11018
Konerko	0.109978
"Tim Salmon"	0.109836
"Ricky Gutierrez"	0.109798
"Bubba Trammell"	0.109792
"Trot Nixon"	0.109573
"Gregg Jefferies"	0.109531
"Desi Relaford"	0.109469
Bergeron	0.109378
Buhner	0.109119
Gwynn	0.109095
Womack	0.108885
"Carlos Beltran"	0.108766
"Carlos Baerga"	0.10869
Ripken	0.108675
"Kevin Stocker"	0.108168
"Quinton McCracken"	0.10769
"Steve Finley"	0.107558
"Eric Young"	0.107357
Vizquel	0.107298
"Mike Lamb"	0.107182
Cabrera	0.107127
"Charlie Hayes"	0.106468
"Reggie Sanders"	0.106447
"Tim Bogar"	0.106362
"Al Martin"	0.106325
Merloni	0.106109
"David Dellucci"	0.106048
"Rico Brogna"	0.105985
"Moises Alou"	0.105946
Greer	0.105653
"Royce Clayton"	0.105485
"Devon White"	0.105144
Burks	0.105085
Piazza	0.104806
"Mike Lowell"	0.104694
"Wilton Guerrero"	0.104576
"Shawon Dunston"	0.104051
"Troy O'Leary"	0.10402
"Ed Sprague"	0.103874
"Russ Davis"	0.103802
"Enrique Wilson"	0.103748
"Greg Vaughn"	0.103705
"Carlos Delgado"	0.103603
"Raul Mondesi"	0.103468
Gant	0.10342
Guerrero	0.10283
Trammell	0.102728
"Nomar Garciaparra"	0.102643
"Jeremy Giambi"	0.102597
Stinnett	0.102343
"Tony Womack"	0.102315
Hollandsworth	0.102248
"CARLOS HERNANDEZ"	0.102054
"Todd Hundley"	0.102036
Molina	0.101715
Galarraga	0.101693
Alou	0.101254
"Gerald Williams"	0.101195
"Brady Anderson"	0.101029
"Jermaine Dye"	0.100848
Helton	0.100462
Ramirez	0.100232
Saenz	0.100227
"Shannon Stewart"	0.10016
"Shawn Green"	0.100149
"Luis Castillo"	0.100091
))
(Agca (desc 1706.98) (sims
Priebke	0.261056
Shayler	0.254825
Papon	0.212724
Ntuyahaga	0.207172
Einhorn	0.204343
"Russell Peeler"	0.203842
Ntakirutimana	0.199585
Hofer	0.193844
Karbaschi	0.190445
Mikhailov	0.183736
Echegaray	0.180816
Kaczynski	0.177479
Berenson	0.17092
Kiareldeen	0.170382
Kalejs	0.16525
Alves	0.163724
Swango	0.163165
Karr	0.158454
Capano	0.156955
Lacresha	0.156142
leeson	0.155612
LeFave	0.155541
Markhasev	0.150519
Jelisic	0.149329
Nikitin	0.148547
Sakic	0.148474
Gusmao	0.147601
"Del Toro"	0.147573
Haouari	0.147459
Sebaggala	0.14524
Manbar	0.144992
Craxi	0.144495
Mease	0.143848
Faulder	0.14379
Contreras	0.143731
Shipman	0.143635
Oviedo	0.142647
"Maturino Resendiz"	0.142131
Abernathy	0.140844
Yazdi	0.140503
Sheinbein	0.140376
Demjanjuk	0.140263
Pollard	0.139995
Lileikis	0.139547
Lazarenko	0.139192
Whitacre	0.138477
Soliah	0.13763
Ershad	0.137324
Stayner	0.136443
Kodikian	0.134547
Gauthe	0.133336
Fortier	0.132787
Gotti	0.131502
McGinn	0.131305
Kony	0.129129
Bakaly	0.129126
Yassin	0.128506
Downey	0.127853
Noriega	0.126592
Giacchetto	0.126535
Tran	0.125704
Cheung	0.124893
Barrionuevo	0.124507
Fagan	0.124134
Khalil	0.122843
Tarver	0.122542
Blackthorne	0.12166
Kimes	0.121615
Siripongs	0.121203
Neulander	0.120769
Xanana	0.119516
Haughey	0.119056
Raduyev	0.118488
Nasrin	0.117748
Espinoza	0.117685
Ahmed	0.117665
Akayesu	0.116147
Mehmet	0.11606
Berlusconi	0.116043
Paciello	0.115073
Ghani	0.114825
Abbas	0.114785
"Ruiz Massieu"	0.112993
Schmitz	0.112546
Garza	0.111781
Elhage	0.111687
Livoti	0.111663
"Raul Salinas"	0.110688
peeler	0.110258
McDuff	0.110254
Limon	0.109897
Schiffer	0.109672
furrow	0.108864
Zamora	0.108722
Martorano	0.107844
Sithole	0.107069
Meggett	0.10666
Gutman	0.106539
Gritz	0.106423
Vasquez	0.10627
Gravano	0.106179
Al-Amin	0.106176
Kurtz	0.10585
Pinochet	0.105656
Robison	0.105553
Kimeses	0.104951
Kaunda	0.104679
Symington	0.104484
Ng	0.103326
Ocalan	0.103225
Cavallo	0.1032
"El Hage"	0.103133
McKinney	0.103094
Laudor	0.102768
Salemme	0.102376
"Iranian Jews"	0.102256
Hamid	0.102237
KEVORKIAN	0.102029
Yosef	0.101993
Reimer	0.101977
Faget	0.101933
"Jack Kevorkian"	0.101923
Mitnick	0.101897
Musa	0.101307
Shulman	0.101218
Farber	0.101084
McDougal	0.100924
"Dinko Sakic"	0.100858
Schweitzer	0.100409
Skakel	0.10036
Carruth	0.0999865
Boesak	0.0999296
Mohamed	0.0995483
Harris-Lewis	0.0993229
Dokmanovic	0.0991659
"Al Fayed"	0.0986804
"Louise Woodward"	0.0985975
Schwarz	0.0985805
"Michael Skakel"	0.0985049
Bowers	0.098187
McVeigh	0.0981631
Bove	0.097683
Benedetti	0.0970242
Valenzuela	0.0968445
Kromah	0.096787
Havelange	0.0966347
detainee	0.0965936
Duran	0.0963933
Mattysse	0.0962938
Babitsky	0.0962368
Salim	0.0962228
Sweeting	0.0957982
Rideau	0.0953702
Ibrahim	0.0947739
Merlino	0.0945179
Druckenmiller	0.0942568
"murder suspect"	0.0940569
Hoffmann	0.0938149
Kinkel	0.0936868
Baumhammers	0.0936586
Hsia	0.0936198
Bulatovic	0.0934529
al-Megrahi	0.0932933
Sarsour	0.0932183
Gantamirov	0.0931984
"Di Canio"	0.0931091
"police sergeant"	0.0929629
Imperatori	0.0928792
Abu-Jamal	0.0925997
Trantino	0.0925642
Soyinka	0.0924002
Hensley	0.0923833
Imelda	0.0921567
Advani	0.0921148
Nichols	0.0920494
Deri	0.0916257
Jenoff	0.0914571
Kehoe	0.0913522
Grossberg	0.0911615
Lugo	0.0906124
Adair	0.0904855
Rapist	0.0901264
Cepeda	0.0896022
wrongdoer	0.0895866
Coolio	0.0895318
Nathaniel	0.0894487
Resendez-Ramirez	0.0894388
parolee	0.0893804
Gurule	0.0889578
chun	0.0888291
Mustafa	0.0885869
McDermott	0.088499
Nunez	0.0884974
Hage	0.0878215
Sankoh	0.0876644
Odeh	0.08752
Virenque	0.0871541
Cheng	0.0871476
Falater	0.0870484
Meskini	0.0862687
))
(age (desc 230424) (sims
time	0.100816
era	0.0941835
gender	0.0922932
size	0.088868
ethnicity	0.0858369
number	0.0838267
level	0.0823932
generation	0.0814773
child	0.0786619
nationality	0.07834
"age group"	0.0767587
height	0.0764322
rate	0.0764246
life	0.0743324
background	0.0730074
race	0.0727404
sex	0.0721467
"life expectancy"	0.0718537
birth	0.0717728
origin	0.0713599
culture	0.0713483
history	0.0696045
income	0.0695578
end	0.0686739
all	0.0680954
cost	0.0676826
experience	0.0673989
world	0.0673937
year	0.0672824
identity	0.0663331
speed	0.0661883
quality	0.0657088
status	0.0656101
class	0.0654146
condition	0.0649618
grade	0.0648277
circumstance	0.0646879
price	0.0646399
period	0.0643411
moment	0.0637125
adult	0.0635983
century	0.0635735
that	0.0634975
people	0.0634352
value	0.0633731
religion	0.0630799
ability	0.0627651
future	0.0621797
name	0.0621018
nature	0.0620163
style	0.0619999
kid	0.0617263
weight	0.061356
kind	0.0610898
family	0.0609878
color	0.060965
type	0.0606593
school	0.0605674
need	0.0604975
woman	0.0603472
habit	0.0602165
orientation	0.0601921
home	0.0599522
work	0.0599381
health	0.0597859
girl	0.0596735
date	0.058947
risk	0.0589087
place	0.0587457
behavior	0.0587329
amount	0.0584235
point	0.0583984
past	0.0583106
fact	0.0581537
location	0.0579774
maturity	0.0578668
strength	0.057751
skill	0.0577337
education	0.0577239
game	0.0577045
one	0.0576908
salary	0.0574803
"old age"	0.0574071
stage	0.0573438
politics	0.057176
disability	0.0571287
it	0.0568575
situation	0.0568336
percentage	0.0567545
Death	0.0565544
beginning	0.0565039
standard	0.0564984
term	0.0562572
man	0.056144
population	0.0560754
position	0.0558482
job	0.055539
role	0.0554554
environment	0.0554071
interest	0.0553996
this	0.0553583
reality	0.0552937
retirement	0.0550191
personality	0.0549287
student	0.0543866
society	0.0543545
marriage	0.054249
millennium	0.0541371
expense	0.0538337
length	0.0537698
event	0.0537591
boy	0.0537429
those	0.0536217
audience	0.0535934
benefit	0.0535842
youth	0.0535731
growth	0.0535461
change	0.0535061
problem	0.0533004
parent	0.0529741
development	0.0527369
relationship	0.052629
performance	0.0525701
some	0.0525275
economy	0.0525164
talent	0.0524442
sport	0.051984
temperature	0.0519665
teens	0.0519085
record	0.051769
program	0.0517483
career	0.0517233
tradition	0.0516953
ratio	0.0516791
climate	0.0516007
Childhood	0.0515542
score	0.0515197
business	0.0514993
day	0.051425
exposure	0.0513198
limit	0.0512631
College	0.0511897
course	0.0511773
geography	0.0510651
taste	0.0510218
case	0.0509874
thing	0.0509127
group	0.0508995
practice	0.0508774
content	0.0508726
character	0.0507581
"test score"	0.0507555
many	0.0507119
result	0.0506187
system	0.0506186
preference	0.0506064
form	0.0505325
language	0.0504942
most	0.0504618
wealth	0.0504315
person	0.050344
two	0.0503118
care	0.050302
part	0.0501945
pattern	0.0500204
requirement	0.049934
factor	0.0499195
treatment	0.0497857
industry	0.0496951
vision	0.0496169
stress	0.049538
"over @@"	0.0493157
qualification	0.0493154
market	0.0491707
expectation	0.0490717
smoking	0.0490354
distance	0.0489807
right	0.0488855
success	0.0487821
depth	0.0487743
service	0.048726
demographics	0.0487032
mother	0.048666
poverty	0.0484598
attitude	0.0483858
altitude	0.0483683
love	0.0483621
opportunity	0.0483552
training	0.0483355
way	0.0483237
art	0.0483016
sense	0.0482958
stature	0.0482322
scale	0.0482248
lack	0.0481001
figure	0.0479586
season	0.0479286
policy	0.0478026
weather	0.0477476
proportion	0.0476453
))
("age group" (desc 18227) (sims
"social class"	0.0929799
teens	0.0919465
household	0.0840208
"income bracket"	0.0834673
category	0.0789156
population	0.073814
male	0.073601
"rural area"	0.0715279
female	0.0705824
"ethnic group"	0.0697376
"geographic area"	0.0672449
audience	0.0667181
nationality	0.0666188
adult	0.065181
strata	0.0639774
bracket	0.0635792
"labor force"	0.0629084
ethnicity	0.0623663
"social group"	0.0614929
infant	0.0608874
profession	0.0607176
Hispanic	0.0603196
"urban area"	0.0598006
congregation	0.0583629
"walk of life"	0.0580993
smoker	0.0580688
gender	0.0579169
"Sub-Saharan Africa"	0.0570269
viewer	0.0566113
segment	0.0560215
"viewing audience"	0.0556789
"medical profession"	0.0554884
minority	0.0553752
denomination	0.0550865
tribe	0.0548002
gamers	0.0546262
"line of work"	0.0544455
"Third World"	0.0543614
"zip code"	0.0541635
county	0.0540852
"time period"	0.0539627
"marital status"	0.0538179
aged	0.053744
"work force"	0.0535076
"social status"	0.0530461
elderly	0.0527078
newborns	0.0524159
"baby boomer"	0.0521614
"over @@"	0.0521371
workforce	0.0520074
subgroup	0.05199
"tax bracket"	0.05111
locality	0.0505686
adolescent	0.0497671
"black woman"	0.0493795
teen-ager	0.0485603
"leadership position"	0.0483652
"business sector"	0.0482514
mid-@@s	0.0471274
respondent	0.0470377
constituency	0.0468624
African-American	0.0467079
grade	0.0461368
"school district"	0.0460304
"AIDS patient"	0.0458677
under-@@	0.0453655
"married woman"	0.0447537
"life expectancy"	0.0446697
Latino	0.0446128
caste	0.0444347
drinker	0.0443295
"North America"	0.0439421
pupil	0.043333
"personal income"	0.043259
"gross national product"	0.0431509
"work unit"	0.0430284
municipality	0.0427251
centenarian	0.0426769
"business traveler"	0.0425682
"senior citizen"	0.0425678
electorate	0.0424206
specie	0.0423571
Asian	0.0422559
"public school"	0.0422144
twenty	0.0421224
"college student"	0.0419557
"fertility rate"	0.0418497
enrollment	0.0417781
"Asian country"	0.0414426
youngster	0.0413566
"cancer death"	0.0412042
sect	0.0411966
percentage	0.0411767
traveler	0.0411388
wheelchair	0.0409534
))
(aged (desc 16970.7) (sims
elderly	0.142846
"senior citizen"	0.106974
adult	0.105462
poor	0.101317
orphan	0.100869
"over @@"	0.0957591
"foster child"	0.0943652
"AIDS patient"	0.0933087
disabled	0.0929624
infant	0.0917392
newborns	0.0883853
illiterate	0.0876131
needy	0.0845156
"drug addict"	0.0834889
youngster	0.0814347
handicapped	0.0800143
male	0.0791801
"college student"	0.079005
adolescent	0.0780267
homeless	0.0762699
smoker	0.0758861
unemployed	0.0743936
population	0.0729784
patient	0.0729221
teen-ager	0.0726795
Hispanic	0.0709729
uninsured	0.070759
Tibetans	0.0705554
youth	0.0704904
"Nos @"	0.070427
teens	0.0703461
retiree	0.0698923
abuser	0.0692812
urbanites	0.0686048
teenager	0.0684887
"drug user"	0.0679251
respondent	0.0678917
preschoolers	0.0674156
"married woman"	0.067306
diabetic	0.0671614
female	0.0666254
dropout	0.066299
Beijingers	0.066111
pensioner	0.0638257
affluent	0.0637155
job-seekers	0.0629514
living	0.0628568
minority	0.0622922
household	0.062248
pupil	0.0618006
"mentally retarded"	0.0615174
inmate	0.0607834
immigrant	0.060658
Latino	0.0605513
laborer	0.0604353
Cambodian	0.0603205
schoolchildren	0.0601954
dweller	0.060128
centenarian	0.0600179
sufferer	0.0593261
dependent	0.0590537
baby	0.0587274
citizen	0.057876
Filipino	0.0576027
probationer	0.0574904
"blood donor"	0.0573853
enrollee	0.0573133
African-American	0.0570374
overweight	0.0567558
prostitute	0.0567139
"black woman"	0.0564901
addict	0.0563312
"business traveler"	0.056319
wounded	0.0562204
juvenile	0.0560201
"African Americans"	0.0559815
migrant	0.055792
low-income	0.0556873
"living together"	0.0556762
"union member"	0.0556746
"wage earner"	0.0553188
senior	0.0552306
learner	0.0551017
elder	0.0548946
postgraduate	0.0544793
"university student"	0.0540059
"age group"	0.053744
user	0.0534965
offender	0.0530849
"job seeker"	0.0528071
Nepalese	0.0526561
died	0.0525544
Kenyan	0.0520991
"farm worker"	0.0520583
undergraduate	0.0520245
caregiver	0.0516213
Tanzanian	0.0515033
servicemen	0.0514464
state-owned	0.0513989
prisoner	0.0510991
"giving birth"	0.0510066
"married couple"	0.0507151
pet	0.0507088
returnees	0.0506588
Moslem	0.0505692
applicant	0.0504895
"family member"	0.0503352
"gross income"	0.0502887
detainee	0.0502613
"black man"	0.0500467
hemophiliac	0.0496838
"labor force"	0.0495054
beneficiary	0.0493981
Californian	0.0492118
viewer	0.0491056
herdsmen	0.0489521
"giant panda"	0.0489206
villager	0.0488471
wishing	0.0487503
toddler	0.0486781
Mozambican	0.0483424
"industrial enterprise"	0.04791
recipient	0.0477499
"baby boomer"	0.0477285
"young girl"	0.0476347
expatriate	0.0475698
drinker	0.0470221
Ugandan	0.0467621
"coal miner"	0.0466923
grandchildren	0.0461374
civilian	0.0459722
heterosexual	0.0459448
subscriber	0.0453685
participant	0.0452977
workforce	0.0452616
delinquent	0.045243
foreigner	0.0450075
Angolan	0.0450068
Floridian	0.0449201
Jew	0.0447283
VMs	0.0446274
traveler	0.0446267
"civil servant"	0.0446055
student-athletes	0.0444414
"military personnel"	0.0443934
interviewee	0.0443877
homeowner	0.0441282
Iraqi	0.0440135
"home buyer"	0.043919
homosexual	0.043827
conscript	0.0437852
cadre	0.0437461
"Sri Lankans"	0.0437231
Ethiopian	0.0436988
Nigerian	0.0436408
poorest	0.043383
Haitian	0.043366
inhabitant	0.0433
OFWs	0.0430179
hostage	0.0428305
grader	0.0426886
"white woman"	0.04264
Singaporean	0.0424016
Zambian	0.0422812
"New Zealander"	0.0421986
Georgian	0.0421646
"juvenile delinquent"	0.042105
eighth-graders	0.0420562
deaf	0.0418329
"young woman"	0.0416263
spouse	0.0415373
"young man"	0.0414559
laid-offs	0.0412728
"white man"	0.0411913
Ukrainians	0.0410986
adoptees	0.0410833
Hawaiians	0.041032
African	0.0409001
beginner	0.0408102
chimp	0.0406509
"staff member"	0.0405876
parolee	0.0405198
miner	0.0405144
occupant	0.0404289
taxpayer	0.0404269
transient	0.0403875
"faculty member"	0.0403059
"work force"	0.0402064
lifter	0.0400524
))
("Agence France Presse" (desc 1629.61) (sims
Tass	0.35175
"Straits Times"	0.341709
Antara	0.34004
"Associated Press of Pakistan"	0.333825
"Agence France-Presse"	0.325654
"Kyodo News Service"	0.312937
"Radio Uganda"	0.307063
"Ethiopian News Agency"	0.305208
"Business Times"	0.303718
"Korean Central News Agency"	0.302432
"Kyodo News"	0.301653
Notimex	0.291081
Lusa	0.285667
"Ghana News Agency"	0.282225
SAPA	0.274252
Ansa	0.274207
"Philippine News Agency"	0.270282
"Saudi Press Agency"	0.2699
"Kathmandu Post"	0.265062
"Southern African Broadcasting Association"	0.263445
"Indonesian Observer"	0.262271
BS	0.261645
"Moscow Times"	0.260155
Kyodo	0.25948
Petra	0.259216
WAM	0.258461
"Iraqi News Agency"	0.258142
"New Vision"	0.257073
IRNA	0.255741
Bernama	0.250903
Tanjug	0.25073
"South African Press Association"	0.248553
"Egyptian Middle East News Agency"	0.246824
Angop	0.246769
"Kuwait News Agency"	0.24653
Sowetan	0.245829
"Business Weekly"	0.244179
"British Broadcasting Corporation"	0.243678
"Jerusalem Post"	0.242235
"Australian Associated Press"	0.240026
"Egyptian Gazette"	0.238601
"Daily Times"	0.238485
PTI	0.233628
"Zambia News Agency"	0.233075
MTI	0.232787
KPL	0.232078
"United Press International"	0.231699
"Vietnam News"	0.229524
ATA	0.225189
RSS	0.223452
Haaretz	0.222759
"Anatolia News Agency"	0.222742
Kommersant	0.220497
"The New Vision"	0.219783
"Turkish Daily News"	0.219645
"Khaleej Times"	0.21936
"Kenya Times"	0.216142
"Athens News Agency"	0.215622
"Dow Jones Newswires"	0.215581
"Le Monde"	0.215185
"Islamic Republic News Agency"	0.214595
MENA	0.214371
"Thai News Agency"	0.213525
Noticias	0.213499
AFP	0.213455
"Tehran Times"	0.210877
"Zimbabwe News Agency"	0.210264
"Ethiopian Herald"	0.209896
"The Monitor"	0.208453
"Press Trust of India"	0.206481
"Bangkok Post"	0.205566
"Israel Radio"	0.204535
"Business Day"	0.203272
"News Agency of Nigeria"	0.202992
Anatolia	0.202659
"East African Standard"	0.202168
"Cyprus News Agency"	0.201606
Jana	0.199065
"Rwanda News Agency"	0.197115
"South China Morning Post"	0.197108
"Post Express"	0.196743
"Gulf News"	0.196737
"Daily Star"	0.196352
"China Daily Business Weekly"	0.19566
"Vietnam News Agency"	0.194898
"Nihon Keizai Shimbun"	0.194583
"Jakarta Post"	0.194478
"Alam Al Yom"	0.193888
"Jordan Times"	0.191281
Interfax	0.190496
"Beijing Daily"	0.185018
"U.S. Labor Department"	0.184691
"Antara News Agency"	0.181638
"New Nigerian"	0.180477
Itar-Tass	0.178792
"Sydney Morning Herald"	0.178527
"Financial Mail"	0.178305
"Asahi Shimbun"	0.172742
"Macao Daily News"	0.172341
Reuters	0.171287
APP	0.170155
"Daily Nation"	0.169373
"El Pais"	0.168846
"Zambia Daily Mail"	0.165068
"Middle East News Agency"	0.164787
APA	0.164509
"Al Hayat"	0.16153
"New Straits Times"	0.160352
"Al Ahram"	0.156148
Malaya	0.154811
"National Association of Realtors"	0.154769
"Press Trust"	0.152374
"Daily Telegraph"	0.152098
Hurriyet	0.151099
"El Mundo"	0.149632
al-Hayat	0.148296
INA	0.148172
"Washington Times"	0.147327
"Xinhua News Agency"	0.145951
"China Daily"	0.145878
"Der Spiegel"	0.145588
"Nihon Keizai"	0.145444
Eurostat	0.145287
"Iran News"	0.14175
"Seattle Times"	0.141317
"Daily Mail"	0.139523
Reforma	0.136684
CNA	0.136289
"American Petroleum Institute"	0.135642
beta	0.135141
"Le Figaro"	0.134298
"Conference Board"	0.134275
"Yomiuri Shimbun"	0.133074
Asahi	0.133024
"Wall Street Journal"	0.132753
NHK	0.130891
CTV	0.130629
"China Youth Daily"	0.12884
RNA	0.128217
"East African"	0.128104
"State Statistics Bureau"	0.127878
"news agency"	0.127779
"Information Center"	0.127576
"Statistics Canada"	0.127121
"press agency"	0.125338
Maariv	0.123542
"National Research Council"	0.12184
"Wenhui Daily"	0.121795
TT	0.121105
"Guangming Daily"	0.120462
Spiegel	0.11851
TC	0.11832
NTV	0.117866
"Economic Daily"	0.117687
"Washington Post"	0.117656
ABS-CBN	0.116044
"Kaiser Family Foundation"	0.115926
"Daily News"	0.115765
"Economic Planning Agency"	0.115376
"Congressional Research Service"	0.115319
KUNA	0.115136
Guardian	0.11368
"Jerusalem Media and Communication Center"	0.113601
"Financial Times"	0.113348
Yastrzhembsky	0.112123
PAP	0.11209
Malu	0.111947
BBC	0.110973
Granma	0.110088
Al-Ahram	0.110035
Sha	0.10985
"Detroit News"	0.109675
"news service"	0.108647
Yomiuri	0.108352
Harmoko	0.108085
"New York Daily News"	0.108034
"New Light"	0.107775
"Los Angeles Times"	0.107599
"U.S. Commerce Department"	0.107524
"Associated Press"	0.106188
"USA TODAY"	0.105796
"Central Bureau of Statistics"	0.105606
Inquirer	0.104616
Aventajado	0.104559
Salam	0.104101
JMCC	0.101296
"Bloomberg News"	0.100642
"Boston Herald"	0.100306
"Detroit Free Press"	0.0998188
"Australian Bureau of Statistics"	0.0991804
Dominion	0.098925
IEA	0.0986698
Ruehe	0.0973686
"General Accounting Office"	0.0973232
Shareh	0.0967322
Politika	0.0963395
"Miami Herald"	0.0951648
"Yediot Ahronot"	0.0949799
Ikimi	0.0946069
"de Charette"	0.0945533
))
("Agence France-Presse" (desc 5348.78) (sims
"Agence France Presse"	0.325654
"Associated Press of Pakistan"	0.243854
Ansa	0.236114
"Anatolia News Agency"	0.236005
"South African Press Association"	0.234908
Antara	0.232789
"Kyodo News"	0.230673
IRNA	0.230414
"Straits Times"	0.230324
"Israel Radio"	0.224859
"Radio Uganda"	0.22468
"Korean Central News Agency"	0.220984
"Rwanda News Agency"	0.216899
Lusa	0.214257
Tass	0.212627
"Iraqi News Agency"	0.211325
"Turkish Daily News"	0.210976
"Dow Jones Newswires"	0.210665
"Middle East News Agency"	0.20961
"Jerusalem Post"	0.206531
"Kuwait News Agency"	0.204685
"Business Times"	0.202876
"Le Monde"	0.200306
"Australian Associated Press"	0.198793
Tanjug	0.198242
"Ethiopian News Agency"	0.197101
PTI	0.195869
Angop	0.195436
"Saudi Press Agency"	0.194147
"Philippine News Agency"	0.193475
"Indonesian Observer"	0.190883
"New Vision"	0.190257
"Islamic Republic News Agency"	0.189425
Kyodo	0.188046
"News Agency of Nigeria"	0.186823
"Egyptian Middle East News Agency"	0.186711
Haaretz	0.186379
"Kyodo News Service"	0.185969
"Vietnam News"	0.185397
"Jakarta Post"	0.184024
"Tehran Times"	0.183678
Noticias	0.182019
AFP	0.179766
"Egyptian Gazette"	0.179177
"British Broadcasting Corporation"	0.178636
"Moscow Times"	0.177991
Itar-Tass	0.1775
"Vietnam News Agency"	0.177482
Notimex	0.177056
Interfax	0.175607
"Press Trust of India"	0.17392
"Bangkok Post"	0.173425
"The New Vision"	0.172689
"The Monitor"	0.172396
"Thai News Agency"	0.171267
"Gulf News"	0.171214
Bernama	0.170612
"Business Weekly"	0.167595
"Ghana News Agency"	0.165007
"Zimbabwe News Agency"	0.164806
"Khaleej Times"	0.164743
"Athens News Agency"	0.164397
"Zambia News Agency"	0.164381
"Kenya Times"	0.164024
Reuters	0.162809
"Antara News Agency"	0.161968
MENA	0.160609
Sowetan	0.159898
"East African Standard"	0.159495
"Kathmandu Post"	0.159437
"Jordan Times"	0.15834
"Daily Times"	0.157234
"Business Day"	0.154807
Petra	0.154775
"Daily Star"	0.152557
BS	0.152189
SAPA	0.147947
"Southern African Broadcasting Association"	0.146929
"South China Morning Post"	0.144028
WAM	0.142397
"Daily Nation"	0.141125
"U.S. Labor Department"	0.140243
"news agency"	0.140136
KPL	0.139906
MTI	0.139386
"Beijing Daily"	0.137713
"Zambia Daily Mail"	0.136638
ATA	0.135178
"Financial Mail"	0.134601
"China Daily Business Weekly"	0.133715
"Bloomberg News"	0.132764
"Associated Press"	0.13245
"Ethiopian Herald"	0.131868
"Cyprus News Agency"	0.130239
"Xinhua News Agency"	0.127758
Kommersant	0.127086
"Daily Telegraph"	0.12619
"Post Express"	0.125464
BBC	0.124811
"Daily News"	0.12162
"China Daily"	0.121438
"Washington Post"	0.120222
"Al Ahram"	0.119755
"United Press International"	0.119289
"Press Trust"	0.119181
RSS	0.118223
al-Hayat	0.117529
"Alam Al Yom"	0.116907
INA	0.116377
Anatolia	0.115654
"Al Hayat"	0.11341
"New Straits Times"	0.112849
"USA TODAY"	0.11252
"National Association of Realtors"	0.112329
"Asahi Shimbun"	0.11196
"New Nigerian"	0.111522
"Washington Times"	0.110205
"East African"	0.108731
"Macao Daily News"	0.108663
APP	0.108047
"Wall Street Journal"	0.107976
"Sydney Morning Herald"	0.10697
"press agency"	0.10691
TT	0.106179
Malaya	0.105817
Eurostat	0.105716
"Der Spiegel"	0.105541
"Financial Times"	0.104322
"El Pais"	0.10371
"Nihon Keizai Shimbun"	0.103544
"Le Figaro"	0.101347
"Iran News"	0.100933
"Seattle Times"	0.0997506
Reforma	0.0981703
"Jerusalem Media and Communication Center"	0.0976596
Times	0.096776
Maariv	0.0961496
"New York Times"	0.0943035
APA	0.0936839
Hurriyet	0.0935805
"Detroit News"	0.0928216
"Guangming Daily"	0.0927981
"British Broadcasting Corp."	0.0927944
"Los Angeles Times"	0.0924293
"China Youth Daily"	0.0912198
"Statistics Canada"	0.0908486
"Daily Mail"	0.0893584
Jana	0.0892716
Guardian	0.0890108
"New Light"	0.086232
"news service"	0.0853671
NTV	0.0830945
"Detroit Free Press"	0.0818279
"Miami Herald"	0.08107
"El Mundo"	0.0810112
KUNA	0.0804112
"U.S. Commerce Department"	0.0802495
"Central Bureau of Statistics"	0.0799778
L'Equipe	0.0799742
RNA	0.0798268
"Conference Board"	0.0794257
"Nihon Keizai"	0.0794217
"Wenhui Daily"	0.0777376
"Commerce Department"	0.0776949
beta	0.0774173
Asahi	0.0772009
Xinhua	0.0762804
CNA	0.0760056
"Yomiuri Shimbun"	0.0758639
"Chicago Tribune"	0.0749592
"Boston Herald"	0.0746759
"Koha Ditore"	0.0740827
"Information Center"	0.0737923
"New York Daily News"	0.0732048
ABS-CBN	0.0714553
Salam	0.0713657
"American Petroleum Institute"	0.0713502
NHK	0.0710933
Granma	0.0708586
"State Statistics Bureau"	0.070025
AP	0.070015
CTV	0.0695024
"New York Post"	0.0691454
Al-Ahram	0.0687522
PAP	0.0684402
Spiegel	0.0676911
"Cable News Network"	0.0672187
"Labor Department"	0.0659946
Dominion	0.0657659
"Denver Post"	0.0656581
JMCC	0.0653532
"Hartford Courant"	0.0646506
"Wimbledon Tennis Championships"	0.0644403
"National Research Council"	0.0643154
Yomiuri	0.0640846
"National Weather Service"	0.0639983
"Dallas Morning News"	0.0636316
"Congressional Research Service"	0.062617
tribune	0.0625899
"Economic Planning Agency"	0.0618311
))
(agency (desc 221686) (sims
department	0.229462
organization	0.220511
company	0.188876
institution	0.18603
ministry	0.17957
government	0.17873
firm	0.174339
authority	0.174064
commission	0.168518
bank	0.164889
office	0.164623
corporation	0.161834
"Justice Department"	0.16109
committee	0.159484
"federal government"	0.157657
bureau	0.152504
FBI	0.151483
regulator	0.151285
group	0.151283
"local government"	0.150873
institute	0.14999
official	0.147568
airline	0.147359
police	0.144122
administration	0.144068
Council	0.143599
"international organization"	0.141762
CIA	0.141724
"financial institution"	0.141318
EPA	0.141181
university	0.140164
"police department"	0.139787
"central bank"	0.138401
state	0.136858
FDA	0.136291
"United Nations"	0.134922
association	0.134877
Pentagon	0.134791
enterprise	0.133285
FAA	0.131933
military	0.131792
program	0.131169
unit	0.129002
union	0.128797
industry	0.128067
"Energy Department"	0.127956
hospital	0.126691
employer	0.126564
"State Department"	0.12531
"Defense Department"	0.123542
service	0.123241
Congress	0.123223
business	0.122175
school	0.12202
"World Bank"	0.121959
"school district"	0.121886
IRS	0.12184
"insurance company"	0.121571
"Environmental Protection Agency"	0.121267
center	0.120752
community	0.120639
IMF	0.120119
doctor	0.119656
board	0.118402
sector	0.118393
"task force"	0.118357
prosecutor	0.118173
"Food and Drug Administration"	0.118042
manufacturer	0.117676
entity	0.115795
charity	0.114955
"Federal Aviation Administration"	0.114885
insurer	0.114511
system	0.114479
contractor	0.114343
court	0.114251
fund	0.113761
"Department of Justice"	0.11329
provider	0.112693
INS	0.11211
SEC	0.112005
party	0.1117
NASA	0.111224
U.N.	0.111021
IOC	0.11084
UNHCR	0.110459
"secret service"	0.110179
FCC	0.110094
FTC	0.110042
expert	0.109957
branch	0.10983
individual	0.109689
federation	0.109515
officer	0.109487
"Securities and Exchange Commission"	0.109363
country	0.109312
body	0.109307
UNICEF	0.109182
bureaus	0.10918
"Red Cross"	0.108786
"Immigration and Naturalization Service"	0.108715
"World Food Program"	0.108714
inspector	0.108684
"International Monetary Fund"	0.108367
investigator	0.108136
"armed forces"	0.107679
"Finance Ministry"	0.107503
"Federal Trade Commission"	0.107459
army	0.107196
"commercial bank"	0.107168
"political party"	0.106753
"police force"	0.105797
"World Health Organization"	0.105578
panel	0.105367
project	0.105302
agent	0.10527
investor	0.104557
"law enforcement"	0.104364
people	0.104042
employee	0.103985
"Health Department"	0.103905
lab	0.103685
member	0.103658
staff	0.103629
"Department of Transportation"	0.103588
network	0.103315
personnel	0.1033
lender	0.10309
scientist	0.102635
judge	0.102612
worker	0.102453
"federal official"	0.102121
operation	0.101879
organisation	0.101814
"U.N. agencies"	0.101751
"Internal Revenue Service"	0.101665
laboratory	0.101574
operator	0.1015
management	0.101334
"Department of Agriculture"	0.101144
HMO	0.101144
"Department of Education"	0.101122
"European Commission"	0.100813
"Agriculture Department"	0.100411
"travel agency"	0.100342
lawyer	0.100039
organ	0.0995829
"Federal Communications Commission"	0.0994548
nation	0.0989164
embassy	0.0988977
physician	0.0986356
"Department of Energy"	0.0986094
CDC	0.0980054
"Commerce Department"	0.0979092
foundation	0.0978721
retailer	0.0975406
donor	0.0975384
"Treasury Department"	0.0975233
"Interior Ministry"	0.097321
district	0.0970986
force	0.0970179
legislature	0.0969853
dealer	0.0968878
"Department of Health and Human Services"	0.0967687
clinic	0.0959544
station	0.0957423
team	0.095409
Judiciary	0.0953974
museum	0.0953704
commissioner	0.0952618
consumer	0.0952492
citizen	0.0951362
facility	0.0950408
city	0.0949768
General	0.0949043
society	0.0944991
client	0.094204
"Central Intelligence Agency"	0.0940866
manager	0.0939476
leader	0.0938105
division	0.0937433
public	0.093597
Microsoft	0.0933307
researcher	0.0932321
tribunal	0.0932241
"Forest Service"	0.093036
navy	0.0929573
businessmen	0.0929465
"Federal Bureau of Investigation"	0.0927415
UNSCOM	0.0927305
farmer	0.0925949
media	0.092588
carrier	0.0925488
customer	0.0925105
"regulatory agency"	0.0923894
"White House"	0.0923512
lawmaker	0.0922345
representative	0.0921572
"Department of Defense"	0.0921542
"Transportation Department"	0.0919599
))
("Agency for International Development" (desc 7473.23) (sims
"Canadian International Development Agency"	0.181038
"United Nations Development Program"	0.179996
"Federal Emergency Management Agency"	0.174176
"National Science Foundation"	0.171251
"U.N. Development Program"	0.169967
USAID	0.157108
"Asian Development Bank"	0.152864
"United Nations Children's Fund"	0.14734
"World Food Program"	0.14711
"Health Care Financing Administration"	0.145032
"World Bank"	0.139588
"National Institutes of Health"	0.137653
"International Development Association"	0.137337
"Environmental Protection Agency"	0.134677
"Department of Energy"	0.133243
UNDP	0.132749
"Department of Agriculture"	0.131678
"Overseas Economic Cooperation Fund"	0.130045
"Department of Education"	0.129722
"Inter-American Development Bank"	0.129282
"World Health Organization"	0.128768
"United Nations Population Fund"	0.126561
"National Highway Traffic Safety Administration"	0.126498
"Drug Enforcement Administration"	0.125989
"U.S. Information Agency"	0.12522
UNICEF	0.123388
"Department of Housing and Urban Development"	0.122291
"European Investment Bank"	0.120906
"National Aeronautics and Space Administration"	0.118094
"Department of Labor"	0.117097
"African Development Bank"	0.116759
"Department of State"	0.11616
"National Cancer Institute"	0.116031
"Department of Defense"	0.114985
"International Labor Organization"	0.114646
"Department of Health and Human Services"	0.113185
UNESCO	0.111543
"U.S. Immigration and Naturalization Service"	0.111348
"International Red Cross"	0.111218
"Food and Agriculture Organization"	0.108909
"Agriculture Ministry"	0.108902
IDB	0.107939
"Ford Foundation"	0.107874
"National Marine Fisheries Service"	0.107457
ADB	0.10709
"Federal Aviation Administration"	0.106249
"Export-Import Bank"	0.106018
"Global Environment Facility"	0.105615
UNHCR	0.105108
"Central Intelligence Agency"	0.104484
"Ministry of Railways"	0.104138
WFP	0.103406
"Department of Justice"	0.102676
"National Endowment"	0.101964
"Department of Commerce"	0.101802
"Department of Veterans Affairs"	0.101444
"United Nations Industrial Development Organization"	0.101326
"Energy Department"	0.100887
"Occupational Safety and Health Administration"	0.100842
"Civil Aviation Administration of China"	0.100524
"European Bank for Reconstruction"	0.0991955
"Federal Bureau of Investigation"	0.0983934
"National Oceanic and Atmospheric Administration"	0.0982921
"International Monetary Fund"	0.0969767
"Department of Corrections"	0.0966591
"World Wildlife Fund"	0.0959889
"General Services Administration"	0.0959308
"financial organization"	0.0955172
"International Finance Corporation"	0.0952672
NASA	0.0951246
"National Republican Congressional Committee"	0.0950594
"U.N. agencies"	0.0947183
UNAIDS	0.0944849
"Red Cross"	0.0940382
"U.N. World Food Program"	0.0928703
"State Environmental Protection Administration"	0.0928282
"Federal Highway Administration"	0.0923528
"National Council of Churches"	0.092177
"U.S. Fish and Wildlife Service"	0.0919579
"Ministry of Civil Affairs"	0.0915449
"U.S. Export-Import Bank"	0.0914133
"State Forestry Administration"	0.0912973
"U.S. Environmental Protection Agency"	0.0912689
"Office of Management and Budget"	0.0908585
"National Park Service"	0.0901475
"China National Tourism Administration"	0.0901342
"Health and Human Services Department"	0.0891345
"United Nations Educational, Scientific and Cultural Organization"	0.0890059
"State Flood Control"	0.0889
"Food and Drug Administration"	0.0888304
"Ministry of Agriculture"	0.0886488
"European Commission"	0.0883826
"Organization of American States"	0.08823
"Peace Corps"	0.088077
"Education Department"	0.087803
"United Nations Environment Program"	0.0872391
"Department of Transportation"	0.0871972
"Agriculture Department"	0.087171
"Department of Public Health"	0.0858005
"International Committee"	0.0856963
"National Transportation Safety Board"	0.0852546
"Ministry of Health"	0.0851068
"Immigration and Naturalization Service"	0.0846912
"Ministry of Forestry"	0.0845649
HUD	0.0845451
"high commissioner"	0.0843578
"Ministry of Science"	0.0839163
"Health Ministry"	0.0832972
"Ministry of Education"	0.0829329
"Ministry of Construction"	0.0824002
"international organization"	0.0823688
"United Nations High Commission for Refugees"	0.0823291
"Nuclear Regulatory Commission"	0.0820493
"United Nations High Commissioner for Refugees"	0.0817861
EPA	0.0816635
"municipal government"	0.0816045
"International Committee of Red Cross"	0.0813812
"Macao Government"	0.080869
"State Department"	0.0802104
EBRD	0.0797346
"Census Bureau"	0.0796602
"Economic Commission for Africa"	0.0793231
"U.S. Agriculture Department"	0.0793111
"State Bureau of Cultural Relics"	0.0792785
"Interamerican Development Bank"	0.0787802
"Airport Authority"	0.0787562
"Red Cross Society"	0.078508
"Defense Agency"	0.0784907
"American Red Cross"	0.0782536
CIA	0.0780515
EC	0.0772373
"UN agency"	0.0769447
"U.N. Environment Program"	0.0766279
"U.S. Forest Service"	0.0761378
"State Development Planning Commission"	0.0761281
"Health Department"	0.076126
"National Security Council"	0.0758415
"State Bureau of Environmental Protection"	0.0754982
"local government"	0.0754494
"Commerce Department"	0.0753585
"Transportation Department"	0.0753189
"Cuban American National Foundation"	0.0751553
"International Rescue Committee"	0.0749069
"Ministry of Posts"	0.0744672
"Audubon Society"	0.074243
Interpol	0.0742094
"National Tourism Administration"	0.0740754
"Ministry of Culture"	0.0737009
"Ministry of Foreign Trade and Economic Cooperation"	0.0735494
"Xinhua News Agency Hong Kong Branch"	0.0734981
"General Accounting Office"	0.073421
"State Development Bank"	0.0731339
"Defense Department"	0.0729635
"State Education Commission"	0.0729382
"Forest Service"	0.072719
foundation	0.0725523
Caritas	0.0725351
"Ministry of Justice"	0.0722486
"Republican National Committee"	0.0722258
"Federal Trade Commission"	0.0721254
"Small Business Administration"	0.0721245
CCF	0.0719707
"Labor Department"	0.0716524
"Anti-Defamation League"	0.0716114
"planning commission"	0.071348
Oxfam	0.0713111
"Human Rights Watch"	0.0712696
"American Jewish Committee"	0.0711306
SBA	0.0709569
"Islamic Development Bank"	0.0708053
"Ministry of Information Industry"	0.0708013
"United Nations agency"	0.070797
"Republican Leadership Council"	0.0707887
"Ministry of Finance"	0.0707178
"China National Petroleum Corporation"	0.0704184
NIH	0.0703841
counterterrorism	0.070317
Pentagon	0.0700783
bureau	0.0700389
"Secretary of Commerce"	0.0699883
"federal government"	0.0698743
"Civil Aviation Authority"	0.0696007
"customs service"	0.0695435
"Ministry of Labor"	0.0695025
NEA	0.06932
"Amnesty International"	0.0692753
"Ministry of Communications"	0.0690143
"State Administration of Cultural Heritage"	0.0689934
"Democratic National Committee"	0.0688555
"World Jewish Congress"	0.0687637
"Consumer Product Safety Commission"	0.0687605
"Development Research Center"	0.068745
consulate	0.0687283
"United Nations Conference on Trade and Development"	0.0686677
"Planned Parenthood"	0.0682766
AFL-CIO	0.0681177
"College Board"	0.0679788
OSCE	0.0679496
USDA	0.0679088
"Ministry of Public Health"	0.0676956
))
(agenda (desc 114400) (sims
strategy	0.156622
proposal	0.151469
policy	0.145828
plan	0.140695
initiative	0.137643
objective	0.136473
priority	0.131356
legislation	0.129027
issue	0.126929
framework	0.119638
reform	0.117101
principle	0.116434
schedule	0.116334
timetable	0.115855
guideline	0.114229
program	0.112809
measure	0.11257
"economic policy"	0.111331
vision	0.110444
approach	0.108076
process	0.107459
theme	0.107441
"foreign policy"	0.107415
agreement	0.107411
bill	0.106489
budget	0.10639
idea	0.105034
resolution	0.104618
blueprint	0.103898
package	0.103572
"tax cut"	0.102791
task	0.102187
platform	0.101443
stance	0.101085
view	0.0988954
recommendation	0.0986405
effort	0.0986334
"development plan"	0.0980959
topic	0.0972782
philosophy	0.0971001
list	0.0966984
ideology	0.0956876
discussion	0.0954861
Treaty	0.095385
mechanism	0.0951203
Declaration	0.0943394
accord	0.0939798
pact	0.0938437
campaign	0.0931745
goal	0.0931239
arrangement	0.0924638
position	0.0923783
procedure	0.0923756
development	0.0910481
decision	0.0905239
solution	0.0904962
role	0.0898825
focus	0.0895435
"plan of action"	0.0895038
aim	0.0894448
matter	0.0886505
debate	0.0884202
law	0.0879055
amendment	0.0875752
regulation	0.0874851
rule	0.0874308
support	0.0874029
action	0.0869534
concept	0.0865464
purpose	0.0864366
statement	0.0861861
mandate	0.0859609
meeting	0.0854797
leadership	0.0854668
message	0.084963
cooperation	0.0848232
interest	0.0846051
commitment	0.0844724
constitution	0.0838515
politics	0.0834851
speech	0.0829544
ambition	0.0828436
requirement	0.0828334
desire	0.0826672
document	0.0821792
negotiation	0.0820393
standard	0.0817188
detail	0.0810692
need	0.0808746
pledge	0.0807053
project	0.0804276
criteria	0.0804184
cause	0.0804095
provision	0.08031
Liberalization	0.0795833
"development strategy"	0.0792832
responsibility	0.0792681
progress	0.0792434
structure	0.0789229
doctrine	0.0789169
activity	0.0787784
scheme	0.078742
"trade policy"	0.0786958
tactic	0.0786334
talk	0.0786118
outline	0.0783973
itinerary	0.0783744
Implementation	0.077989
outcome	0.0777713
education	0.0776849
Mission	0.0776127
relationship	0.0776093
preparation	0.0773588
curriculum	0.0772786
trend	0.0772443
aspect	0.0771031
challenge	0.0770882
expansion	0.0767762
aspiration	0.0764975
protocol	0.0764012
step	0.0763552
change	0.0763232
concern	0.0762298
intention	0.0758475
appeal	0.0757685
suggestion	0.0756632
partnership	0.0755569
calendar	0.0755565
forum	0.0752744
opinion	0.0751138
participation	0.0750347
communique	0.074946
demand	0.0749193
problem	0.0748627
compromise	0.0748388
theory	0.0748209
session	0.074771
achievement	0.0747403
manifesto	0.074738
rhetoric	0.0746795
peace	0.0745596
movement	0.0744566
system	0.07436
committee	0.0743484
scope	0.0739375
motive	0.0736908
argument	0.073502
Formula	0.073496
ideal	0.0734605
term	0.0733569
deal	0.0730884
work	0.0730676
direction	0.0728265
definition	0.0727791
success	0.0726982
credential	0.0726617
consideration	0.072596
promise	0.0725407
dialogue	0.0725212
attitude	0.0723547
Alliance	0.0723461
candidacy	0.0723437
question	0.0722591
code	0.0722481
status	0.0722191
report	0.0718799
charter	0.0717896
experience	0.0716522
membership	0.0714362
"game plan"	0.0713459
method	0.0712314
prospect	0.0710566
ballot	0.0710335
deliberation	0.0709742
conference	0.0708613
modality	0.0708075
government	0.0706456
relation	0.0703654
directive	0.0702865
understanding	0.0702334
funding	0.0700911
overhaul	0.0700521
mind	0.0699822
viewpoint	0.0699425
environment	0.0697719
integration	0.0697257
belief	0.0696078
"business plan"	0.0694083
election	0.0693967
security	0.0693546
outlook	0.0692559
perspective	0.0692315
accomplishment	0.0692219
obligation	0.0692211
culture	0.0692083
summit	0.0690962
"master plan"	0.0690449
hope	0.0689723
future	0.0689433
situation	0.0689335
))
("Agenda @@@@" (desc 1274.8) (sims
final-status	0.128948
long-awaited	0.12826
brownfields	0.125254
"shock therapy"	0.10516
"billion dollar"	0.101081
"golden parachute"	0.100871
oil-for-food	0.0992526
multibillion	0.0984064
Israeli-Syrian	0.0960869
"Big Bang"	0.0935708
"START II"	0.0925966
Syrian-Israeli	0.0922267
U.S.-Russian	0.0917737
FTAA	0.0902833
ERISA	0.0900077
"Office @@"	0.0894047
"START III"	0.0888633
snakehead	0.0878999
Demutualization	0.0878217
"death tax"	0.0878045
Palestinian-Israeli	0.0876243
ODA	0.0864991
devolution	0.0857955
"stock buyback"	0.0851392
"executive agency"	0.0841201
"deficit reduction"	0.0837061
fast-track	0.0831909
"margin call"	0.0826846
seven-point	0.0802902
"defense budget"	0.0798293
on-and-off	0.0793903
"Uruguay Round"	0.0792773
SOE	0.0775323
"Vision @@@@"	0.0763845
VFA	0.076155
CTBT	0.076035
"Office @@@@"	0.0758085
"social insurance"	0.0753822
"finding of fact"	0.0750506
"Millennium Bug"	0.0747183
dollarization	0.0746141
"Lusaka Protocol"	0.074265
"labor contract"	0.073338
delimitation	0.0729273
"Trojan Horse"	0.0722723
"free radical"	0.0722536
lockbox	0.0714133
"pork barrel"	0.0711985
detoxification	0.07108
Arab-Israeli	0.0709704
ADSL	0.0700886
divestiture	0.0700797
"Oslo Accords"	0.0699898
"Group of Eight"	0.069679
"German language"	0.0690778
"Helms-Burton Act"	0.0686822
enlargement	0.0686587
GEF	0.0686064
five-point	0.0682763
"master plan"	0.0679947
ILOVEYOU	0.0679268
CHT	0.0676599
Israeli-Arab	0.0675475
demarcation	0.0670681
"Microsoft Office"	0.0669133
pooling	0.0668034
"Red Violin"	0.0664595
medium-term	0.0662766
"Stability Pact"	0.0661276
"Action Plan"	0.065786
WordPerfect	0.0655768
"Wye River"	0.0654604
"Bill of Rights"	0.0652011
"Golden Triangle"	0.0647627
"Maastricht Treaty"	0.0643267
Shays-Meehan	0.0639041
"reorganization plan"	0.0638911
"Kyoto Protocol"	0.0632229
mitigation	0.0626707
"Medicare HMO"	0.0623165
"Health and Welfare Ministry"	0.0620085
confidence-building	0.0618531
"Reagan Democrats"	0.0618196
Helms-Burton	0.0616469
"Northern Territory"	0.0616047
divestment	0.0614097
fact-finding	0.0609156
Israeli-Palestinian	0.0607995
austerity	0.0607927
House-Senate	0.0606257
"expansion plan"	0.0605734
buyback	0.0605681
"talking point"	0.0605579
GSM	0.0604313
rescheduling	0.060403
aftermarket	0.0601188
privatisation	0.060049
Russian-U.S.	0.0599021
"Chemical Weapons Convention"	0.0598249
nine-point	0.0597396
"labor agreement"	0.0595155
"navy yard"	0.0595012
disengagement	0.0591839
multiyear	0.0588888
"compromise plan"	0.0588077
IPR	0.0587991
"user interface"	0.0585708
"Super League"	0.0585685
"cost cutting"	0.0581325
"road show"	0.0579736
Measures	0.0578972
tort	0.0576791
easement	0.0576444
"Black Sea Fleet"	0.0575838
demilitarization	0.0572112
"trade policy"	0.0571207
Iglesias	0.0566599
MDMA	0.0565585
redevelopment	0.0563934
"change of direction"	0.0562332
Ita	0.0562154
livery	0.0560321
FTA	0.0559808
maquiladoras	0.055803
"Comprehensive Nuclear Test Ban Treaty"	0.0557699
"Year @@@@"	0.0557564
"trade bill"	0.0557374
perestroika	0.0556335
carnivore	0.0556029
"safe harbor"	0.0555605
"line of products"	0.0555156
"Multimedia Super Corridor"	0.0554855
multimillion	0.0553955
"rehabilitation program"	0.0551817
"poison pill"	0.0549425
"bank withdrawal"	0.0548349
Z@@	0.0548153
G-@	0.0547322
"tax reduction"	0.0545062
EPZ	0.0544634
untouchable	0.0544049
"Playstation II"	0.0543874
MIYAZAWA	0.053674
UNAMSIL	0.0534953
oligarch	0.0533728
NMD	0.053296
"Chittagong Hill Tracts"	0.0531371
Spring/Summer	0.053078
collaborative	0.0529185
"order form"	0.052808
Broek	0.0527796
Sino-U.S.	0.0525381
declassification	0.0524397
"antitrust regulator"	0.0523297
profit-sharing	0.0523251
Longo	0.0522899
four-night	0.0522672
"Revised Version"	0.0521847
four-point	0.0521516
ten-year	0.0521144
identifier	0.0520756
cross-Straits	0.05207
mainlanders	0.0520568
A@XX	0.0518438
retrenchment	0.0517766
Fen-Phen	0.0517645
GATT	0.0515343
LASIK	0.0512496
RAMBOUILLET	0.051128
"arms control"	0.0510468
nitty-gritty	0.0510048
PNTR	0.0508986
iss	0.0507754
U.S.-British	0.0507724
reemployment	0.0507091
fibrillation	0.0506467
two-night	0.0503716
"compensation package"	0.0499975
NRC	0.0498847
Trailblazer	0.0495083
"European Bank for Reconstruction"	0.0494681
escrow	0.0494442
U.S.-China	0.0494227
severance	0.0491599
NHS	0.0491116
"International Space Station"	0.0489878
recapitalization	0.0488543
Mega	0.048843
"car insurance"	0.048791
solstice	0.0487502
"collective bargaining"	0.048718
China-U.S.	0.0484709
Mideast	0.0484536
Sino-British	0.0483646
Friday-Sunday	0.0483549
electrification	0.0483486
"city planning"	0.0483037
"plan of action"	0.0482605
"U.N. Resolution @@@"	0.0481958
"Economic and Monetary Union"	0.0481768
))
("agenda item" (desc 2935.52) (sims
vote-getters	0.0898903
specialities	0.0828133
"business line"	0.0795646
"stumbling block"	0.073561
"credit bureau"	0.0729635
"vote counter"	0.072083
B-@s	0.070635
Stealers	0.0682162
sub-projects	0.0676688
signees	0.0674275
"management change"	0.0673364
"subject area"	0.0672508
quarterfinalists	0.0671096
QBs	0.0670312
"word of advice"	0.0661071
wideouts	0.0651057
flashpoints	0.0645524
"fire drill"	0.0642653
"base runner"	0.0639813
stinker	0.0634774
"talking point"	0.0625622
officeholder	0.0624607
"safety feature"	0.0624402
endorser	0.0615622
"three pitchers"	0.0613324
goaltenders	0.060873
"five spot"	0.0607095
"trump card"	0.0606371
"seeded player"	0.0604452
rebounders	0.0603486
"news event"	0.0601498
"Final Fours"	0.0601304
"auto manufacturer"	0.0597455
"Baby Bells"	0.0594934
shipbuilder	0.0593999
carmakers	0.0593398
"electronics company"	0.0583123
frontrunners	0.058176
acquirer	0.0574561
"line of business"	0.0568627
pluses	0.0568341
"hot issue"	0.0567311
non-negotiable	0.0566422
co-chairs	0.0565705
closers	0.0564012
"risk factor"	0.0563456
"piece of music"	0.0558607
absentee	0.0558461
smelters	0.0557338
"service break"	0.0554825
"flash point"	0.0553261
breadwinner	0.055234
"pass catcher"	0.0551622
cog	0.054969
firsts	0.0549
"Special Economic Zones"	0.0548938
"New York Republicans"	0.0545662
starts.	0.054251
"house guest"	0.0542022
"two pitchers"	0.0539649
metropolises	0.053791
phenoms	0.0537018
subspecies	0.0536518
"No. @s"	0.0534631
variable	0.0534422
"compromise plan"	0.0531816
"point system"	0.0529962
transnationals	0.052929
precondition	0.052787
headliners	0.0527112
"trade issue"	0.0526741
"American plane"	0.0525021
"day of rest"	0.0522145
singer-songwriters	0.0519203
"major-league team"	0.0519057
neurotransmitter	0.0516916
"campaign official"	0.0516107
SEZs	0.0515503
coursework	0.0514747
signer	0.0513582
"business organization"	0.0513582
placers	0.0513328
battleground	0.0512985
"ground rule"	0.0512432
"geographic area"	0.0511891
"break of serve"	0.051137
"tax change"	0.0511228
"trade area"	0.051111
lifeboat	0.0510253
"two lines"	0.050801
"ticket agent"	0.0506736
"order of business"	0.0506376
"space walk"	0.0505832
"mental disorder"	0.0505534
major-leaguers	0.0504212
funders	0.050269
tranches	0.0502633
par-@s	0.0502485
sidebars	0.0502358
adjective	0.0501397
"entitlement program"	0.0500677
avocation	0.0499969
"medical institution"	0.0499664
Opens	0.0496515
returners	0.049316
enticement	0.0487815
"medical specialist"	0.048755
"subsidiary company"	0.0486728
ISPs	0.0486338
gripe	0.0486258
policymaker	0.0483222
paragraph	0.0482589
no-decisions	0.0482528
"Ryder Cups"	0.0481794
crewmembers	0.048177
intangible	0.0481556
upperclassmen	0.0481453
memoranda	0.0480963
meccas	0.0480655
defaulter	0.0480435
contingency	0.0479378
timeouts	0.0479342
"extracurricular activity"	0.047749
All-Americans	0.0477205
parameter	0.0470811
Christmases	0.0470026
"United Nations agency"	0.0468972
Litigator	0.0468264
"geographical area"	0.0466001
suffix	0.0465306
subgroup	0.0464838
minicamps	0.0464049
determinant	0.0463811
"trading partner"	0.0463791
"major leaguer"	0.0462916
businesswomen	0.0462189
proviso	0.0461586
spacewalks	0.0461323
holdover	0.0461106
"fatal accident"	0.045995
hang-up	0.0459614
moneymaker	0.0458118
"leadership position"	0.0458066
hopefuls	0.0457305
registrant	0.0456917
"All-Star Games"	0.0456693
"campaign adviser"	0.0456634
"cable operator"	0.0456043
"regulatory agency"	0.0455678
Klansmen	0.0454306
"Hollywood studio"	0.0454023
hotspots	0.0453958
plank	0.0453711
websites	0.0453208
standouts	0.0452694
blue-chips	0.0452109
MiGs	0.0451892
"case in point"	0.045178
playmakers	0.0451234
peripheral	0.0451145
"whipping boy"	0.0450236
"line item"	0.0450176
"semiconductor maker"	0.0449765
examinees	0.0449038
"political prisoner"	0.0448888
"oil producer"	0.0448711
"steel company"	0.0447453
"enforcement action"	0.0447259
"working day"	0.0447211
Arizonan	0.0447203
runnings	0.0446444
beany	0.0444943
"role player"	0.0444636
"endowment fund"	0.0443972
fundraisers	0.0443748
newsmagazines	0.0443476
"business establishment"	0.0443107
"three words"	0.0443055
granary	0.0442698
mammogram	0.0442576
chaebol	0.0441163
countermeasure	0.0441083
subsector	0.0439891
underwriter	0.0439018
"building block"	0.0438727
"business unit"	0.0438688
prong	0.0438223
"presidential term"	0.0437714
polluter	0.0437651
dissenter	0.0437058
"expression of regret"	0.0435956
"auto maker"	0.0435953
"U.N. agencies"	0.0435741
quorum	0.0435728
guardsmen	0.043556
mover	0.0435068
"line of defense"	0.0435067
"drawing card"	0.0434598
misnomer	0.0433501
"odds and ends"	0.0433194
))
(agent (desc 196601) (sims
officer	0.17111
lawyer	0.14096
police	0.137199
"FBI agent"	0.135941
"police officer"	0.134748
investigator	0.134611
official	0.133917
"federal agent"	0.128194
Attorney	0.126593
employee	0.126513
policemen	0.121425
doctor	0.120908
"special agent"	0.117506
prosecutor	0.11714
manager	0.11617
inspector	0.115436
soldier	0.113107
detective	0.11216
personnel	0.111301
executive	0.109866
member	0.10557
journalist	0.105275
agency	0.10527
worker	0.103194
supervisor	0.102736
expert	0.100776
"intelligence agent"	0.100694
man	0.100679
broker	0.10059
authority	0.10001
pilot	0.0992845
reporter	0.0976591
FBI	0.0976354
spy	0.0972333
owner	0.0971837
trooper	0.0969482
teacher	0.0963943
representative	0.09617
friend	0.095625
staff	0.0955596
"staff member"	0.0954164
scientist	0.094679
people	0.094255
Cop	0.0930017
aide	0.0928292
dealer	0.0925355
diplomat	0.0922028
director	0.0916003
informant	0.0910353
judge	0.090716
technician	0.0903547
company	0.0901204
client	0.0897967
consultant	0.0897594
contractor	0.0896193
coach	0.0889538
operator	0.0888004
physician	0.088231
someone	0.0881339
"security guard"	0.0880561
parent	0.0878711
group	0.0878385
adviser	0.0877589
troop	0.0877437
person	0.0876202
engineer	0.0873318
banker	0.0872723
guard	0.086623
suspect	0.0864101
driver	0.0855665
"security force"	0.0853495
"military officer"	0.0851351
administrator	0.0850299
student	0.0848608
relative	0.0847052
nurse	0.084674
player	0.0844129
chief	0.0842298
politician	0.0842105
employer	0.0841666
leader	0.0839451
crew	0.0838066
photographer	0.0837994
firm	0.0834293
terrorist	0.0831559
auditor	0.083027
clerk	0.0829865
accountant	0.0828941
activist	0.0826527
policeman	0.0824634
commissioner	0.0823091
staffer	0.0823067
individual	0.0817983
customer	0.0817546
office	0.0809159
"intelligence officer"	0.0808828
operative	0.080832
citizen	0.0806697
specialist	0.0803349
lawmaker	0.0797744
rebel	0.0797156
businessmen	0.0796474
volunteer	0.0795499
criminal	0.0794344
defendant	0.0793283
assistant	0.0792907
Counsel	0.0792637
colleague	0.079144
lobbyist	0.079034
professional	0.0789967
bodyguard	0.0787308
commander	0.0787281
regulator	0.0783975
President	0.0781238
"travel agent"	0.0780954
woman	0.0780517
team	0.0779922
mother	0.0779765
guerrilla	0.0779654
smuggler	0.077903
"army officer"	0.0777938
partner	0.0777793
father	0.0777431
force	0.0777235
witness	0.0777024
investor	0.0774028
buyer	0.0773913
associate	0.0773623
athlete	0.0773165
trader	0.0772291
marshal	0.0772041
others	0.0770722
"family member"	0.0770552
counselor	0.0770204
fighter	0.0769133
publisher	0.0768326
family	0.0766834
supporter	0.0765689
legislator	0.0763767
anyone	0.0762935
gunmen	0.0762429
organization	0.0760619
militant	0.0754429
firefighters	0.0753084
developer	0.0751951
promoter	0.0747724
businessman	0.0747514
writer	0.074712
commando	0.0746111
observer	0.0745859
deputy	0.0744164
"general manager"	0.0742493
producer	0.0741442
"military personnel"	0.0741277
wife	0.0737434
teammate	0.0736773
fan	0.0736649
government	0.07364
senator	0.0735596
drug	0.0733995
American	0.0733995
inmate	0.0731369
"federal official"	0.0731301
"secret service"	0.0729944
resident	0.0728619
researcher	0.0727349
unit	0.0725726
peacekeeper	0.072561
secretary	0.0724891
informer	0.0723456
manufacturer	0.0718416
farmer	0.0713445
veteran	0.0710156
editor	0.0709723
husband	0.0708798
publicist	0.0708063
trainer	0.0707708
artist	0.0707599
Mayor	0.0705962
brother	0.0705425
guy	0.0703669
controller	0.0702882
handler	0.070263
prisoner	0.069798
military	0.0696963
insurer	0.0695837
provider	0.0694501
passenger	0.0693328
foreigner	0.0693095
vendor	0.0692884
attacker	0.0691409
priest	0.0688083
minister	0.0685627
those	0.0683944
victim	0.0683852
child	0.0683553
General	0.0683325
protester	0.0683214
army	0.0682144
"social worker"	0.0682066
))
(Aggie (desc 2826.15) (sims
Mexican-American	0.0985547
"Orthodox Jewish"	0.0958439
anything-goes	0.094786
Atlantan	0.092281
"Irish Catholic"	0.0893141
Italian-American	0.0788409
hippie	0.077259
off-campus	0.0761751
Chinese-American	0.0755093
Japanese-American	0.0752916
Appalachian	0.0745269
"Seton Hall University"	0.0725776
"Asian American"	0.072203
Asian-American	0.0708819
Germanic	0.0707062
techie	0.0705018
nigger	0.0694595
"show biz"	0.0693625
"African American"	0.0678257
IU	0.0659176
"French Canadian"	0.0650102
"guitar player"	0.0647256
Hasidic	0.0645387
Irish-American	0.06445
poop	0.0643158
highschool	0.0637571
"University of Kentucky"	0.0634409
Oriole	0.0632594
preservationist	0.0631408
Navajo	0.062678
secularist	0.0626554
stuntman	0.0625599
Kurd	0.062397
Celtic	0.0618174
peewee	0.0617284
Ohioan	0.0614333
Seahawk	0.0606083
"Kosovar Albanian"	0.0602339
weatherman	0.059704
"Tibetan Buddhist"	0.059599
Inuit	0.0595458
Acadian	0.0591695
newspaperman	0.0584987
Laker	0.0584858
sobbing	0.0581584
"important person"	0.057202
Bobo	0.0563851
quadriplegic	0.0561061
"American Jewish"	0.056082
Sephardic	0.0559462
sherpa	0.0557554
"white person"	0.0557475
yuletide	0.0555808
"wise guy"	0.0550931
"altar boy"	0.0547857
UD	0.0543541
Hmong	0.0541459
Hoosier	0.0539532
uptempo	0.0537883
Anglo	0.0537452
redneck	0.0535441
"Southwest Conference"	0.0535047
"black person"	0.0534786
"Crimson Tide"	0.053375
"bowling ball"	0.0532001
Hawaiian	0.0530994
Kansan	0.0530136
Aloha	0.0528348
motoring	0.052434
"risk taker"	0.0517101
classicist	0.051589
third-grade	0.0514197
O.J	0.0512903
Cajun	0.0508728
eighth-grade	0.0507466
Beida	0.0505846
Scottish	0.0505199
Cuban-American	0.0504254
schooler	0.050374
"M University"	0.0503686
Amish	0.050276
handicapper	0.0500821
masturbation	0.0500755
Makah	0.0499139
UT	0.0498635
monarchist	0.0497829
hooter	0.0497022
turncoat	0.0496104
"Division @"	0.0495128
"good person"	0.0493463
"blue moon"	0.0492599
Washingtonian	0.0491044
OCA	0.0489388
Bostonian	0.0486221
Maasai	0.0485446
Floridian	0.0483403
"New Covenant"	0.0482716
throwaway	0.0481834
"Southern Baptist"	0.0480986
ranching	0.0479067
Arab-American	0.0477225
agnostic	0.0476763
"New Englander"	0.0475732
Bonanno	0.0474299
"Ivy League"	0.0474091
gook	0.0472581
Luddite	0.0471602
"blue blood"	0.0471502
Scotsman	0.0469724
"old school"	0.0468072
"professional golfer"	0.0466799
raunchy	0.0466747
"Horned Frogs"	0.0466138
non-Hispanic	0.0463904
"enlisted man"	0.0463225
Minnesotan	0.0461227
wimp	0.0460803
procrastinator	0.0460584
Arizonan	0.0458295
"big leaguer"	0.0457303
"hard worker"	0.0456609
Guthridge	0.0456339
"sports fan"	0.0454847
autocrat	0.0454532
Rollins	0.045379
"world traveler"	0.0452276
Baptist	0.0452108
"young person"	0.0448889
"Hispanic American"	0.0448089
Beatle	0.0447627
Gator	0.0447542
non-Catholic	0.0445566
Mayan	0.0445159
"little league"	0.0443423
lama	0.0443122
"North Carolinian"	0.0442972
biker	0.0441853
"University of Georgia"	0.0441782
fiend	0.0441648
non-Jewish	0.0440859
choirboy	0.0440763
goofball	0.0440271
gridiron	0.0439467
Maya	0.0439426
"the very best"	0.0438445
Virginian	0.0433722
nitwit	0.0432878
"Puerto Rican"	0.0431568
darn	0.0429726
internationalist	0.0429533
pressman	0.042823
non-Indian	0.042763
"fashion designer"	0.0426947
"University of Florida"	0.042664
"insurance broker"	0.04265
"radio announcer"	0.0425771
"Israeli Arab"	0.0424563
Tennessean	0.042377
Quaker	0.0423287
Iowan	0.0423026
Korean-American	0.0422963
valedictorian	0.0422293
Khmer	0.0421359
Dai	0.0421004
"Boston College"	0.0420867
weirdo	0.0419705
"Cal State Northridge"	0.0418638
Kosovar	0.041827
exec	0.0417612
loony	0.0416671
NAU	0.0415163
bricklayer	0.0414326
herdsman	0.0413892
NYU	0.0413654
moron	0.0413438
"American Indian"	0.0413411
sixth-grade	0.0413136
"art student"	0.0413026
Aquino	0.041296
ole	0.0412066
Vermonter	0.0411725
"piece of music"	0.0410452
fireman	0.0410114
Armenian	0.0410068
"University of Texas"	0.0410002
tribesman	0.0407868
"liberal arts"	0.0407595
"security consultant"	0.0407312
"Fighting Irish"	0.0406262
canard	0.040579
TCU	0.0405719
vanishing	0.0405322
"University of Tennessee"	0.0404977
diehard	0.0404598
Klerk	0.0402754
"Roman Catholic"	0.040254
apologist	0.0402076
lightbulb	0.0401839
junkie	0.0400717
"aerospace engineer"	0.0400363
))
(Aggies (desc 14730) (sims
wildcat	0.208166
Seminoles	0.202067
Sooners	0.18885
Boilermakers	0.182054
Longhorn	0.171646
"Nittany Lions"	0.171552
Hokies	0.171488
"Crimson Tide"	0.167096
Gators	0.166335
"Tar Heels"	0.162656
bulldog	0.159386
Cornhusker	0.158228
Vols	0.157098
buckeye	0.156207
"blue devil"	0.155842
Trojan	0.15256
Jayhawks	0.15166
Lobos	0.151289
husky	0.146001
gamecock	0.145453
Huskers	0.14495
"Virginia Tech"	0.144919
Seahawks	0.143377
Razorback	0.140785
Wolverine	0.140613
"Red Storm"	0.139611
"Penn State"	0.139381
Bucs	0.139271
"Red Raiders"	0.137441
"Ohio State"	0.137008
"Scarlet Knights"	0.136594
"yellow jacket"	0.135057
UNT	0.133439
Eagles	0.133076
Hawkeyes	0.13298
"Kansas State"	0.132975
UCLA	0.130713
USC	0.130611
Steelers	0.130446
Rutgers	0.130062
Giants	0.129954
TCU	0.129646
bruin	0.129536
"Florida State"	0.12953
Wolfpack	0.129529
matador	0.128371
cougar	0.128073
"Horned Frogs"	0.127267
CSUN	0.126719
Minutemen	0.12626
Sonics	0.126136
ASU	0.126078
"Iowa State"	0.125649
MetroStars	0.125055
bronco	0.124585
RedHawks	0.124506
bearcat	0.12353
"Golden Hurricane"	0.122923
Spartan	0.121995
terrapin	0.121844
"Mississippi State"	0.121786
Redskin	0.11799
Purdue	0.117107
"Michigan State"	0.11678
LSU	0.11616
"Oklahoma State"	0.115882
badger	0.115769
Bengals	0.115307
falcon	0.115019
Hofstra	0.113657
"Notre Dame"	0.113495
Baylor	0.113178
ASTROS	0.112657
"Texas Tech"	0.111328
"Oregon State"	0.111125
charger	0.11111
NAU	0.111103
Lakers	0.110652
Pepperdine	0.110377
UConn	0.110054
ram	0.108247
BYU	0.1076
"Dallas Cowboys"	0.107344
"Fighting Irish"	0.106747
cardinal	0.106338
Stephenville	0.105814
Hoosier	0.105658
MSU	0.105037
cowboy	0.104795
BEARS	0.104761
"Miami Dolphins"	0.104457
tech	0.104303
Stanford	0.104236
Orangemen	0.104013
Illini	0.103471
"Red Wings"	0.103329
Knicks	0.10325
Tennessee	0.103237
"Tennessee Titans"	0.103186
pacer	0.103102
"ATLANTA FALCONS"	0.10191
Gonzaga	0.101706
Viking	0.100667
panther	0.100665
Nebraska	0.100571
ou	0.0999588
Clemson	0.0997244
BC	0.0991809
"Maple Leafs"	0.0991009
"Tampa Bay"	0.0989415
oiler	0.0988932
OSU	0.0988075
"Cincinnati Bengals"	0.0986288
"Arizona State"	0.0985212
K-State	0.0985156
Celtics	0.0984337
"San Diego Chargers"	0.0978808
clipper	0.0976127
"Minnesota Vikings"	0.0972336
"Red Sox"	0.0970591
UMass	0.0967238
Stoltenberg	0.0967088
"Georgia Southern"	0.0961412
packer	0.0960875
Starzz	0.0955122
"New York Giants"	0.0951438
BUCCANEER	0.0949635
Mets	0.0947557
patriot	0.0945251
"New York Jets"	0.0942931
"Georgia Tech"	0.0937868
Seles	0.0937766
Buffaloes	0.0937077
"Trail Blazers"	0.0935897
"Green Bay"	0.0935848
sabre	0.0933188
gopher	0.0929294
"St. Louis Rams"	0.0928459
Fordham	0.0922249
"Denver Broncos"	0.0910389
Sparks	0.0910117
Denver	0.0909977
Duke	0.0908899
"East Carolina"	0.0908569
FSU	0.0907742
Syracuse	0.0903607
"Boston College"	0.0903204
raider	0.0897076
Capriati	0.0895461
Padre	0.0895236
Auburn	0.0888988
dolphin	0.0888572
"Utah State"	0.0884248
cavalier	0.0883783
"Indianapolis Colts"	0.0882925
Hornet	0.0882618
"Team USA"	0.0879968
colt	0.0879437
Arizona	0.0875937
Bayern	0.0875713
"Weber State"	0.087566
titan	0.0873749
grizzly	0.0871927
Orioles	0.0871667
"Philadelphia Eagles"	0.0870858
sixer	0.0868132
"Washington State"	0.0867704
Cal	0.086614
"Washington Redskins"	0.0864595
Timberwolves	0.0864361
"devil ray"	0.0863917
SMU	0.0863446
"Green Bay Packers"	0.0863181
Sox	0.0861838
Kafelnikov	0.0860463
Huber	0.0859956
Canuck	0.0857484
Rattler	0.0857216
yank	0.0856882
"San Francisco @@ers"	0.0856067
devil	0.0855469
"Louisiana Tech"	0.0854732
"Old Dominion"	0.0853657
lumberjack	0.0848086
Canadiens	0.0847129
mariner	0.084617
Villanova	0.0845233
brave	0.0845182
Wisconsin	0.0844962
Tulane	0.0837876
Raven	0.0833899
"N.C. State"	0.08331
Cavs	0.0830103
"Buffalo Sabres"	0.082561
Marquette	0.0822874
spur	0.0821051
Phillies	0.0816558
Hingis	0.0816076
Carolina	0.0815368
"Seton Hall"	0.0815213
))
(agglomeration (desc 880.397) (sims
conglomeration	0.10044
aggregation	0.0882944
moonscape	0.0881444
divestment	0.0823512
emitter	0.0785412
granule	0.0760486
outcrop	0.0700018
"representative sample"	0.0696614
heavens	0.0694272
fount	0.0670821
honeycomb	0.0658639
capillary	0.0650713
usurpation	0.0644173
locus	0.0636067
believability	0.060695
part-owner	0.0603641
mushrooming	0.0596405
"chemical analysis"	0.0583074
"almost two-thirds"	0.057511
write-down	0.0570769
kaleidoscope	0.0558684
POTPOURRI	0.0557095
"brain stem"	0.055592
updraft	0.0551463
"line drawing"	0.0550948
privatizations	0.0546186
firmament	0.0537319
abdication	0.0536975
updating	0.0534618
"Ninety-nine percent"	0.0530006
"eighth year"	0.0529785
divestitures	0.0525037
reallocation	0.0524032
re-opening	0.0521947
oversimplification	0.0521639
acquirer	0.051555
nub	0.0514065
Truism	0.0509471
recapitalization	0.0507736
divestiture	0.0505822
brogue	0.0504984
filament	0.0503461
vicissitude	0.0502219
"rat race"	0.0501689
Halo	0.0501573
slurry	0.0496596
"branch office"	0.0486435
"moral force"	0.0482905
"mirror image"	0.0478296
pantomime	0.0477621
"Fifty percent"	0.0473768
antecedent	0.0472205
amalgamation	0.0468337
merging	0.0467909
"Fifty-five percent"	0.0465464
"Thirty percent"	0.0464963
iota	0.0463687
inkling	0.0461222
accoutrement	0.0456551
detritus	0.0455234
foretaste	0.0454164
"more than @@@ pounds"	0.0453672
denigration	0.0453608
possessor	0.0452649
exaltation	0.0452372
reappraisal	0.0451792
winnowing	0.0448851
"one share"	0.0444865
centralization	0.0444459
pervasiveness	0.0441512
joining	0.0441507
"insurance broker"	0.0439908
chimera	0.043902
"roughly two-thirds"	0.0437461
enabler	0.0436161
anagram	0.0435865
"Philippine Stock Exchange Index"	0.0434173
"Forty percent"	0.0433595
criminalization	0.04326
beekeeper	0.0432254
"less than @.@ percent"	0.0430795
nuttiness	0.0430198
Whiteness	0.0428806
explication	0.0428256
nationalization	0.0428131
distillation	0.0427526
"political economy"	0.0426979
predominance	0.0426494
"Sixty-five percent"	0.0424854
"tropical rain forest"	0.0424015
"suspension bridge"	0.042316
"public exposure"	0.0421259
fief	0.0420077
"work group"	0.0419793
wrapup	0.0419474
"Eighty-five percent"	0.0418928
lots	0.0415711
duality	0.0415536
cultivator	0.0413736
"fire sale"	0.0412776
bursting	0.0411501
"legal instrument"	0.0409773
diminution	0.0409699
"piece de resistance"	0.0409296
brownfields	0.0407256
blending	0.0407123
recounting	0.0405669
identifier	0.0405364
wide-range	0.0405054
trove	0.0404261
physicality	0.0402345
cowgirl	0.0401355
apex	0.0401161
"end run"	0.0400126
liquidator	0.0400017
))
(aggravation (desc 5149.05) (sims
worsening	0.132638
de-escalation	0.114734
destabilization	0.100292
escalation	0.0977113
relapse	0.0971006
recurrence	0.0966275
deterioration	0.0914934
Intensification	0.0857672
"wear and tear"	0.0847754
discouragement	0.0843077
hassle	0.084094
irritation	0.0834602
inconvenience	0.0807678
breakage	0.0805118
heartache	0.0792431
instability	0.0788205
flare-up	0.0786039
dislocation	0.0750428
disaffection	0.0740334
flareup	0.0730592
"price fluctuation"	0.0725266
dehydration	0.0720948
widening	0.0718112
friction	0.071682
insecurity	0.0711676
overheating	0.0707704
frustration	0.0706751
rupture	0.0706575
degradation	0.0704543
agony	0.0700642
contagion	0.0697605
hardship	0.0696269
heartbreak	0.0695038
embarrassment	0.0692632
bitterness	0.0688099
distraction	0.0684048
confusion	0.067991
anxiety	0.0669521
marginalization	0.0668531
divisiveness	0.0667114
discomfort	0.0663984
uncertainty	0.0662284
uneasiness	0.066043
anguish	0.0660231
suffering	0.0660111
bloodbath	0.065305
Burnout	0.0650251
misunderstanding	0.0643125
hand-wringing	0.0642472
"financial loss"	0.0641005
fragmentation	0.0638651
deprivation	0.0634458
repetition	0.0633798
side-effects	0.0633487
bloodshed	0.0633296
pity	0.0633149
"vicious cycle"	0.0632829
humiliation	0.062814
oomph	0.0622843
thawing	0.0620436
adulteration	0.061842
displacement	0.0616692
disillusionment	0.0615824
complication	0.0613881
downtime	0.0611622
misery	0.0609754
"cash crunch"	0.0604506
puzzlement	0.0601691
complexity	0.0601057
acrimony	0.0600828
Exhaustion	0.0600155
polarization	0.0599269
"price pressure"	0.0598954
catastrophe	0.0598656
adversity	0.0597219
unease	0.0590601
wastage	0.0590357
meltdowns	0.0588586
congestion	0.0586927
indignity	0.0586295
clotting	0.0585945
tiredness	0.0585582
downturns	0.0583364
disruption	0.0582176
"vicious circle"	0.0580176
"side effect"	0.057995
dilution	0.0579925
rollovers	0.0579841
presure	0.0574007
bewilderment	0.0572487
spillover	0.0572395
trauma	0.0570302
duplication	0.0570189
nervousness	0.0569242
occurrence	0.0568982
volatility	0.0568958
lessening	0.0568374
annoyance	0.0567596
unpleasantness	0.0566673
overload	0.0564389
sorrow	0.0562699
hand-holding	0.0562577
weariness	0.0560497
clutter	0.0558442
shrinkage	0.0556488
eventuality	0.0555052
slackening	0.0552762
Distress	0.0552297
curtailment	0.05519
relaxation	0.0550904
unrest	0.0550411
"flash point"	0.0550162
thaw	0.0548258
apprehension	0.05475
interruption	0.0544741
"management shakeup"	0.0544426
deflation	0.0543289
depletion	0.0542798
grief	0.0542132
easing	0.054181
"bank failure"	0.0541305
upheaval	0.0535858
erosion	0.0534322
overconfidence	0.0532858
indigestion	0.0532297
"interest rate increase"	0.053098
merriment	0.0529026
homesickness	0.0528225
groundswell	0.0527139
gridlock	0.0526464
Caesarean	0.0525756
"moral hazard"	0.0524196
starvation	0.052349
"traffic jam"	0.0522548
calamity	0.0522226
carnage	0.05211
torment	0.0520896
deceleration	0.0520675
loneliness	0.0520548
angst	0.0520341
C-section	0.0519766
fatigue	0.0519538
"elbow room"	0.0519428
hyperinflation	0.0518915
Balkanization	0.0517386
infestation	0.0516296
"acid rain"	0.0515859
detente	0.0515854
toxicity	0.0511222
hardening	0.0510607
antagonism	0.0509615
suspense	0.0508848
adulation	0.0508811
desperation	0.0505552
lawlessness	0.0503807
resentment	0.0503733
tumult	0.0502791
spillage	0.0501875
incontinence	0.0501805
condensation	0.0501693
crunch	0.0501307
sadness	0.0500177
mischief	0.0499745
rash	0.0499268
"arms race"	0.0499239
helplessness	0.0498317
casualty	0.0497118
scaling	0.049495
blindness	0.0493541
slippage	0.0492369
distortion	0.0492337
intangible	0.0491685
"kidney stone"	0.0491253
miscalculation	0.0490844
"foot traffic"	0.0490637
discord	0.0490511
hopelessness	0.0490336
miscarriage	0.0489535
severity	0.0489015
corroboration	0.0488599
depreciation	0.0488367
conflagration	0.0487921
urgency	0.04879
consternation	0.0487497
epidemic	0.0487444
ire	0.0487355
"crop failure"	0.0485056
"close call"	0.0484317
disenchantment	0.0484242
turbulence	0.0484184
fluctuation	0.0484064
fuss	0.0483478
ulcer	0.0482051
disquiet	0.0481436
devastation	0.0481275
misperception	0.0481114
atherosclerosis	0.0480717
negativity	0.0478996
hype	0.0478561
unhappiness	0.0477674
))
(aggregate (desc 12101.2) (sims
GDP	0.0533286
"technical knockout"	0.0526926
"European Tour"	0.0510624
"gross income"	0.0502466
"gross national product"	0.0495831
career-best	0.0475436
shoot-out	0.0466926
"Senior PGA Tour"	0.0454593
"net profit"	0.0450825
"national income"	0.0438767
"split decision"	0.043561
clocking	0.043543
GNP	0.041286
"retail sale"	0.0410736
"gross domestic product"	0.0409445
"nine points"	0.0409163
"pretax profit"	0.0406757
))
(aggregation (desc 2350.71) (sims
agglomeration	0.0882944
overabundance	0.0746574
"electronic database"	0.066208
Balkanization	0.0656948
amalgamation	0.0633557
"wireless telephone"	0.0609423
smorgasbord	0.0584228
clump	0.0569845
"oil slick"	0.0569203
dispersion	0.0563197
"regular army"	0.0562213
accumulation	0.0562044
telemedicine	0.0559709
conglomeration	0.0556041
trove	0.0547337
gob	0.0544255
reallocation	0.0535418
storehouse	0.0528259
"treasure trove"	0.0527172
inspectorate	0.0514186
transference	0.0497798
intranet	0.0495426
centralization	0.0493174
"sneak preview"	0.0490982
repository	0.0490757
directory	0.0484383
discoverer	0.0476044
"mushroom cloud"	0.0475696
amplification	0.0473601
"Ninety-nine percent"	0.0473464
asp	0.0472284
assemblage	0.0466132
smallness	0.0464702
welter	0.0464501
pendulum	0.0464258
Crescent	0.0461096
cross-pollination	0.0457622
perusal	0.0453632
zillion	0.0451064
"Microsoft Network"	0.0447621
gigabyte	0.0444235
"price change"	0.0443928
transfusion	0.0442958
tome	0.0440988
"crazy quilt"	0.0440647
unraveling	0.0440532
subset	0.0439579
cornucopia	0.0435264
panoply	0.0434645
"nook and cranny"	0.0434614
insufficiency	0.0434373
glob	0.0433217
lode	0.0431653
labeling	0.0429485
"investment banking"	0.0428211
interchange	0.0424755
rededication	0.0422552
adulteration	0.0422172
"cross section"	0.0421808
"deficit reduction"	0.0421535
slew	0.0418137
hereafter	0.0417335
Ranford	0.041721
"embryonic cell"	0.0417035
plethora	0.0416863
usurpation	0.0414781
"cargo area"	0.0411018
Nuke	0.0410633
profusion	0.0409986
locus	0.0409015
Shabbat	0.0408737
forwarding	0.0407641
inpatient	0.0406946
metaphysics	0.0405518
hovercraft	0.0405108
"sheet of paper"	0.0404822
dragnet	0.0403231
explication	0.0402926
importing	0.0402765
laundering	0.0402708
plume	0.0400756
))
(aggression (desc 59048.6) (sims
invasion	0.198608
"military action"	0.193841
provocation	0.175623
atrocity	0.165649
"air attack"	0.163878
attack	0.163303
terrorism	0.153743
"air raid"	0.149796
repression	0.147636
occupation	0.143618
violence	0.142872
bombardment	0.138593
violation	0.1383
brutality	0.137678
incursion	0.13631
interference	0.135911
assault	0.133667
persecution	0.133191
oppression	0.131984
bombing	0.131622
airstrikes	0.131573
act	0.130288
genocide	0.127787
abuse	0.126237
cleansing	0.124987
offensive	0.123405
crime	0.122973
hostility	0.122812
harassment	0.122593
intervention	0.122533
threat	0.119014
"war crime"	0.118663
war	0.11771
raid	0.117507
terror	0.116968
blockade	0.116375
injustice	0.115903
strike	0.114176
massacre	0.113423
intimidation	0.113362
onslaught	0.111445
hegemonism	0.111232
action	0.111157
sanction	0.111024
discrimination	0.110417
embargo	0.110315
killing	0.110269
encroachment	0.109267
racism	0.108404
destruction	0.106467
torture	0.106416
"military campaign"	0.105702
sabotage	0.103066
propaganda	0.101264
shelling	0.101046
exploitation	0.100611
aggressor	0.100539
conflict	0.100344
behavior	0.100103
hegemony	0.0998049
activity	0.0993216
intransigence	0.0990481
infringement	0.0983305
invader	0.0979066
crackdown	0.0969996
airstrike	0.096861
force	0.0966383
conspiracy	0.0966237
blackmail	0.0963661
attempt	0.0956584
hatred	0.0955581
escalation	0.0953757
kidnapping	0.0951916
bloodshed	0.0949485
imperialism	0.0940589
corruption	0.0939642
reprisal	0.0934134
intrusion	0.0932643
arrogance	0.0921603
retaliation	0.0917331
domination	0.0914051
rebellion	0.0901227
looting	0.0898555
instability	0.0898529
rape	0.0897055
conduct	0.0891963
prejudice	0.0890303
coercion	0.0884555
warfare	0.0884194
manipulation	0.0882957
cruelty	0.0881811
fraud	0.0877061
intolerance	0.0866073
evil	0.0863472
accusation	0.086224
confrontation	0.0854834
"mass murder"	0.0850797
bigotry	0.0847694
infiltration	0.0841413
policy	0.0839748
theft	0.083862
tactic	0.0838275
vandalism	0.0837801
defiance	0.0837619
assassination	0.0834242
espionage	0.083271
adventurism	0.0830872
unrest	0.0824007
piracy	0.0822982
failure	0.0819989
buildup	0.0819743
pressure	0.0813885
breach	0.0812091
"military force"	0.0810229
hijacking	0.0809545
murder	0.0807801
resistance	0.080553
misconduct	0.080205
regime	0.0801511
separatism	0.0798893
abduction	0.0797356
humiliation	0.0794015
catastrophe	0.0792492
deployment	0.0792317
disaster	0.0782888
crisis	0.0781056
betrayal	0.077593
fighting	0.0775091
expulsion	0.0774243
coup	0.0771505
lawlessness	0.0770406
anti-Semitism	0.0770282
"arms race"	0.0769025
slaughter	0.0766973
tension	0.0766299
enemy	0.0764497
boycott	0.0764169
involvement	0.0761852
censorship	0.0761506
extremism	0.0757223
insult	0.0756659
slander	0.0756077
turmoil	0.0755475
incident	0.0752554
"power politics"	0.074988
"drug trafficking"	0.0748849
tyranny	0.074847
takeover	0.0747359
anger	0.074617
"civil war"	0.0745216
"sexual harassment"	0.0740662
terrorist	0.073271
rejection	0.0731997
bias	0.072924
famine	0.0728649
poverty	0.072786
criticism	0.0724519
colonialism	0.072371
protectionism	0.0722867
mistreatment	0.072191
seizure	0.0719322
Proliferation	0.0718608
refusal	0.071796
expansion	0.0717312
imposition	0.071219
beating	0.0711409
Fascism	0.0711032
insecurity	0.0708694
outrage	0.0708331
extortion	0.0706254
exercise	0.0706233
smuggling	0.0706202
incitement	0.0702033
crises	0.070058
presence	0.0697828
protest	0.069674
hardship	0.0694088
"drug abuse"	0.0692994
NATO	0.0692333
strife	0.0691313
effort	0.0691278
disruption	0.0689003
wrongdoing	0.0686917
revenge	0.0686835
punishment	0.0686458
hooliganism	0.0686168
suffering	0.0684963
annexation	0.0684819
missile	0.0684105
"nuclear weapon"	0.0683768
robbery	0.0683325
"ground attack"	0.0683251
campaign	0.0681691
movement	0.0681565
insurgency	0.0681484
epidemic	0.0680191
troop	0.0679574
slavery	0.0676154
"trade embargo"	0.067592
suicide	0.0674956
))
(aggressiveness (desc 13060.3) (sims
toughness	0.140999
tenacity	0.130445
versatility	0.129889
stamina	0.121886
athleticism	0.121757
quickness	0.121392
intensity	0.108109
poise	0.107781
resilience	0.0989921
boldness	0.0982149
professionalism	0.0960325
consistency	0.0958782
patience	0.0952593
vigor	0.094739
maturity	0.0943121
flexibility	0.0941413
composure	0.0926714
determination	0.0923605
explosiveness	0.0910332
Creativity	0.0910067
dynamism	0.0899462
skill	0.0894696
willingness	0.0880804
ability	0.0874235
assertiveness	0.0868789
strength	0.0865645
enthusiasm	0.0865148
teamwork	0.0862151
grit	0.0857234
fearlessness	0.085558
candor	0.0853239
sophistication	0.0852351
cockiness	0.08518
agility	0.084893
"sense of purpose"	0.0843819
dedication	0.0832368
diligence	0.0823567
courage	0.082252
sincerity	0.0818227
mobility	0.0810203
durability	0.0809947
ferocity	0.0804915
humility	0.0801987
resiliency	0.0795126
acumen	0.07935
vitality	0.0792271
discipline	0.0786827
confidence	0.0786417
seriousness	0.0784584
prowess	0.0779196
cohesiveness	0.0779193
persistence	0.0778635
efficiency	0.077749
bravery	0.0773376
ingenuity	0.0772753
swagger	0.0772349
risk-taking	0.0770383
Openness	0.0766622
passion	0.0752397
attitude	0.0750891
bravado	0.0741557
effectiveness	0.0738301
"staying power"	0.0736046
intelligence	0.0731933
fervor	0.0728818
depth	0.0728705
potency	0.0728654
hustle	0.072128
arrogance	0.0719142
precision	0.071824
talent	0.0715108
resourcefulness	0.0712749
decisiveness	0.0711662
breadth	0.0709219
perseverance	0.0709065
desperation	0.0707782
unpredictability	0.0702271
fortitude	0.0700768
charisma	0.0696012
combativeness	0.0695582
caution	0.0695
honesty	0.0691306
firepower	0.0690904
immediacy	0.0690776
competence	0.0690042
dexterity	0.068908
savvy	0.0688916
foresight	0.0687367
demeanor	0.0686332
instinct	0.0684922
brilliance	0.0684657
spontaneity	0.0684507
nimbleness	0.0684008
endurance	0.0683076
diversity	0.0682565
fluency	0.0679236
urgency	0.0678879
energy	0.0677627
wisdom	0.0676705
apathy	0.0674879
concentration	0.0673311
"raw talent"	0.0673129
ambition	0.0672422
clout	0.0670817
selfishness	0.0670391
self-confidence	0.0669165
pragmatism	0.0668464
accuracy	0.0665077
desire	0.0663849
prudence	0.0661008
aggression	0.0657021
sensitivity	0.0654873
behavior	0.0651201
ruthlessness	0.0650941
awareness	0.0649064
eagerness	0.0648648
flair	0.0645839
proclivity	0.0644563
zeal	0.0644201
volatility	0.064126
vulnerability	0.0638039
"hard work"	0.0637599
cynicism	0.0634105
guile	0.0633855
firmness	0.0633053
loyalty	0.0632272
self-control	0.0631856
wariness	0.0631458
"sense of humor"	0.0630244
pride	0.0629946
exuberance	0.0629013
compassion	0.0627871
graciousness	0.0627512
vigilance	0.0627066
elusiveness	0.0625879
alertness	0.0623956
intolerance	0.0623536
curiosity	0.0623522
appetite	0.0622712
adaptability	0.0622483
footwork	0.062176
optimism	0.0621757
finesse	0.0619267
devotion	0.0618948
excitement	0.0616784
intellect	0.0614793
clarity	0.061259
inclination	0.0611568
temper	0.0611012
empathy	0.0610154
integrity	0.0608949
ebullience	0.0608706
self-esteem	0.0608356
nervousness	0.0607379
tolerance	0.060704
eloquence	0.0605107
emotion	0.0604385
reliability	0.0603611
unselfishness	0.060224
laxity	0.0601348
closeness	0.0599863
permissiveness	0.059879
credibility	0.0598354
grace	0.0598162
dominance	0.0596707
"sense of responsibility"	0.0596548
competitiveness	0.0595748
specificity	0.0594274
self-discipline	0.0593776
motivation	0.0593479
fluidity	0.0589249
ethic	0.058753
innovation	0.0587338
superiority	0.0587082
buoyancy	0.0586449
temperament	0.058618
complexity	0.0585305
capability	0.0584643
restraint	0.0584585
goodwill	0.0583642
intangible	0.0582735
generosity	0.0581397
popularity	0.0580858
virility	0.0578862
inconsistency	0.057675
mentality	0.0576422
humor	0.0576045
tactic	0.0575714
familiarity	0.0574061
"good will"	0.057291
accountability	0.0571713
expertise	0.0571272
spunk	0.0571093
realism	0.0570847
propensity	0.0570451
profitability	0.0570271
earnestness	0.0568552
vibrancy	0.0567044
spirit	0.056675
velocity	0.0566293
))
(aggressor (desc 11809.8) (sims
invader	0.144643
imperialist	0.119115
enemy	0.103899
militarist	0.102353
aggression	0.100539
terrorist	0.0920706
Nazi	0.087324
attacker	0.0838095
perpetrator	0.0822075
extremist	0.0810944
"Nazi Germany"	0.0802963
insurgent	0.0799979
bandit	0.0799855
rioter	0.0766691
occupier	0.0766212
criminal	0.0747635
colonialist	0.0723173
belligerents	0.0711385
guerrilla	0.0708965
"Khmer Rouge"	0.0708531
intruder	0.0707297
"bad guy"	0.069615
fascist	0.0672493
militia	0.066715
stalker	0.0663993
assailant	0.0663889
thug	0.0658897
oppressor	0.0657046
robber	0.0654711
occupation	0.0652625
Serbs	0.0651732
murderer	0.064995
traitor	0.0645448
invasion	0.0643879
militant	0.0643746
bully	0.0642205
adversary	0.0616746
"war criminal"	0.0615945
troublemaker	0.0610148
racist	0.0609467
Zionist	0.0607739
"Saddam Hussein"	0.0606393
tyrant	0.0605724
fighter	0.0604686
infidel	0.0603701
heretic	0.0600338
militarism	0.0599484
fundamentalist	0.0598083
"ground attack"	0.0595209
atrocity	0.0593098
"military force"	0.0591863
bigot	0.0591616
Soviets	0.05898
hypocrite	0.0589154
lackey	0.0587785
looter	0.0586901
mercenary	0.0586142
interloper	0.0584669
regime	0.0583793
lawbreaker	0.0582546
wrongdoer	0.0582322
liar	0.0581904
militiamen	0.0581564
evil	0.057486
Fascism	0.0573911
imperialism	0.0568955
barbarian	0.0564878
adventurism	0.0564765
gunmen	0.0563271
civilian	0.0562733
infiltrator	0.0558204
kidnapper	0.055805
gang	0.0557337
Killer	0.0556804
squatter	0.0556637
Rapist	0.0548205
smuggler	0.0548121
"Kosovo Liberation Army"	0.0546411
Chechens	0.0543672
bomber	0.0540514
cult	0.0537162
spy	0.0536951
Communist	0.0536881
"air attack"	0.0536776
Kamajors	0.0536502
opportunist	0.0535961
terrorism	0.0532578
trafficker	0.0530608
poacher	0.052961
paramilitary	0.052932
speculator	0.0526694
trespasser	0.0526213
RUF	0.0525912
warplane	0.0525719
shoplifter	0.0525414
"war crime"	0.0524899
wounded	0.0521488
"drug dealer"	0.0519368
collaborator	0.0518882
abuser	0.0518872
combatant	0.0518368
"prisoner of war"	0.0518087
colonialism	0.0516212
soliders	0.0516058
violator	0.0510461
TORTURER	0.0507898
gangster	0.0506875
UNITA	0.0506747
Saddam	0.0506349
"organized crime"	0.0506267
ex-combatants	0.05061
idiot	0.0503225
acquirer	0.0501585
outcast	0.0500621
"drug trafficker"	0.0498178
villain	0.0497882
infantryman	0.0496007
reformer	0.0494163
Taliban	0.049128
guerilla	0.0490226
Hezbollah	0.0488917
dictator	0.0487506
Hitler	0.048719
missionary	0.0487093
martyr	0.0486849
burglar	0.0485637
junta	0.0483416
assassin	0.0482927
warplanes	0.0482732
Hutus	0.0479215
separatist	0.0476257
vigilante	0.0474281
scum	0.0473705
offender	0.0473429
hacker	0.0472904
troops	0.047235
"air raid"	0.0472206
gunman	0.0464129
pariah	0.0463627
"naval officer"	0.0463404
nationalist	0.0462918
"secret police"	0.0462175
lunatic	0.046211
incompetent	0.0462085
settler	0.0460766
"Bosnian Serbs"	0.0459848
hegemonism	0.0459776
psychopath	0.0459719
"Liberation Tigers of Tamil Eelam"	0.0459633
Lissouba	0.0459601
mutineer	0.0458206
UPDF	0.0456709
coward	0.0456479
LRA	0.0455999
adulterer	0.0454941
captor	0.0454249
arsonist	0.0453014
revolutionary	0.0451675
"regular army"	0.0450249
vandals	0.0449779
hooligan	0.0449604
ruler	0.0449192
commando	0.0448547
"Revolutionary United Front"	0.0447271
sniper	0.044572
"internment camp"	0.0444399
superpower	0.0444086
shooter	0.0443937
bystander	0.0441947
pawn	0.0441699
leftist	0.0440314
predator	0.04401
hard-liner	0.0439944
peacekeeper	0.0439718
"serial killer"	0.0439621
colonizer	0.0439451
demonstrator	0.0439155
protectionist	0.0438063
syndicate	0.0437935
servicemen	0.0437921
thief	0.0436885
accomplice	0.043685
subversive	0.0435797
SFOR	0.0435181
bastard	0.043464
MKO	0.0434466
outsider	0.0434147
Yugoslav	0.043284
Turk	0.0432836
saboteur	0.0431767
brutality	0.0428903
pedophiles	0.0427835
underachiever	0.0427563
Croats	0.0427174
dictatorship	0.0426739
warlord	0.04253
"security force"	0.04251
cheater	0.0424242
"combat mission"	0.0424222
"foreign service officer"	0.0423781
))
(Agilent (desc 1477.64) (sims
"Delphi Automotive Systems"	0.232455
VISTEON	0.170612
MiniMed	0.169445
Emulex	0.167438
"U.S. Trust"	0.159562
Delphi	0.159201
ENTREMED	0.157166
ALZA	0.148888
VENATOR	0.148343
Nabisco	0.148061
"Thermo Electron"	0.147252
RAMBUS	0.142938
"J&AMP;J"	0.140802
NiSource	0.137022
Stratus	0.135894
SkyTel	0.134736
E-LOAN	0.132724
McKesson	0.13216
Biogen	0.131346
Genzyme	0.130346
Healtheon	0.125063
UAL	0.124433
"Times Co."	0.124022
"HBO &AMP; Co."	0.123873
RJR	0.122946
GANNETT	0.121296
ExciteAtHome	0.120865
Healtheon/WebMD	0.120012
Broderbund	0.118226
"Times Mirror"	0.117885
"Advanced Micro"	0.117684
Humana	0.116384
Hasbro	0.116364
Omnicom	0.115084
"Coca-Cola Enterprises"	0.114896
NORTHROP	0.114669
"Rite Aid"	0.113495
ZDNet	0.112745
Genentech	0.112462
Penney	0.111658
Medtronic	0.111217
Amgen	0.110901
Autodesk	0.110681
Pairgain	0.109946
Sunbeam	0.109886
AMR	0.109267
Inktomi	0.109253
"P&AMP;G"	0.108806
"RJR Nabisco"	0.108744
TYCO	0.10818
Nortel	0.107661
"Waste Management"	0.107419
Xerox	0.106716
PLDT	0.106374
Starwood	0.106138
Cendant	0.105633
AutoNation	0.104873
SmithKline	0.104849
Warnaco	0.104342
Cabletron	0.104329
"Phelps Dodge"	0.10417
"Dayton Hudson"	0.104094
"Pacific Century"	0.10351
Micron	0.103309
AGL	0.103163
EMC	0.102866
Geron	0.102596
AlliedSignal	0.102407
Bridgestone	0.10193
"Learning Co."	0.101768
Weyerhaeuser	0.1017
"Boston Scientific"	0.101122
Conoco	0.101101
Incyte	0.101063
Ciena	0.100586
Qualcomm	0.100538
Checkfree	0.100445
"Union Carbide"	0.0993664
CCE	0.0993223
Litton	0.0988846
Hewlett-Packard	0.0988572
XYLAN	0.0983891
Broadcast.com	0.0978213
Bristol-Myers	0.0977966
Vitesse	0.097567
CPF	0.0971563
CNET	0.0959809
Mattel	0.0957997
VoiceStream	0.0954095
"Hughes Electronics"	0.0952964
Webvan	0.0951105
"Ask Jeeves"	0.0947292
Corning	0.0946246
PEOPLESOFT	0.0944573
"JDS Uniphase"	0.0944427
Hilton	0.0939492
"Sprint PCS"	0.0936968
Halliburton	0.0931143
"Network Associates"	0.0930544
Alcoa	0.0929703
Dupont	0.092801
IDT	0.0926884
SGI	0.0926539
Albertson's	0.0925749
Nextel	0.0923798
Bestfoods	0.0923473
"Global Crossing"	0.092202
"Berkshire Hathaway"	0.091924
Paxson	0.0918408
eToys	0.0917187
Airtouch	0.0915534
Corel	0.0915154
REVLON	0.0912583
Barclays	0.0910162
"Toys R Us"	0.0910125
Pepsico	0.0908422
Chiron	0.0908209
IMS	0.0907589
"National Semiconductor"	0.0906688
Polaroid	0.0905347
Novell	0.0904962
"Northeast Utilities"	0.0900737
COLTEC	0.0899056
Fingerhut	0.0898368
HBOC	0.0897333
Tandy	0.0893996
HP	0.0893372
WebMD	0.0893058
adobe	0.0891323
"Gap Inc."	0.0886841
AMP	0.0884456
Petrofina	0.087935
"Eli Lilly"	0.0877096
"Xerox Corp."	0.0874201
Honeywell	0.0873501
"Royal Bank"	0.0872531
"Washington Mutual"	0.0870446
NatWest	0.0868747
CSX	0.0867118
"Exxon Mobil"	0.0865316
"Sara Lee"	0.0865271
Priceline.com	0.0863279
Georgia-Pacific	0.0863272
CMGI	0.0862331
"Silicon Graphics"	0.0861378
Interpublic	0.0859621
"Atlantic Richfield"	0.0855489
Lucent	0.0854997
"Bank of Scotland"	0.0851651
AHP	0.0851602
"Georgia Power"	0.0848254
Peapod	0.0846658
Schlumberger	0.0846105
UTC	0.0842031
"Southern Co."	0.0839638
Tenneco	0.0839419
"MindSpring Enterprises"	0.0836455
Seagate	0.0836413
"First Union"	0.08347
RealNetworks	0.0832573
Daiwa	0.0831473
TiVo	0.0829226
Sepracor	0.0828593
"Y&AMP;R"	0.0828101
Maytag	0.0827674
USEC	0.0823347
NCR	0.0822821
"American Home"	0.082247
ETrade	0.0821761
Norwest	0.082092
"Computer Associates"	0.0819064
Asarco	0.0817695
AmeriTrade	0.0815027
Scientific-Atlanta	0.0811976
"Red Hat"	0.0811954
Clorox	0.0810739
infinity	0.0808781
Omnipoint	0.0808741
"KCP&AMP;L"	0.0802878
"Burlington Northern"	0.0800258
Seagram	0.0796006
"Fred Meyer"	0.0793661
BCE	0.0792503
TRW	0.07922
Warner-Lambert	0.0791202
TELLABS	0.078714
"U S West Inc."	0.078565
Gilead	0.0785338
"BP Amoco"	0.0783901
WPP	0.0780352
Raytheon	0.0779938
"Union Pacific"	0.0779279
Providian	0.0779256
Totalfina	0.0778994
Tropicana	0.0778276
Aetna	0.0777351
Informix	0.0775658
Gymboree	0.0775486
"U S West"	0.0774022
Asda	0.0773479
))
(agility (desc 8096.88) (sims
quickness	0.189241
stamina	0.180312
athleticism	0.169653
dexterity	0.169549
explosiveness	0.150915
poise	0.141073
footwork	0.132497
mobility	0.130323
endurance	0.127823
tenacity	0.125358
versatility	0.12277
resilience	0.120317
finesse	0.118262
resiliency	0.115819
nimbleness	0.113727
toughness	0.112933
durability	0.107364
flexibility	0.107334
musicality	0.1056
skill	0.105027
"reaction time"	0.102152
resourcefulness	0.101528
fortitude	0.100616
precision	0.100234
dynamism	0.0982428
decisiveness	0.0978541
clarity	0.0969167
courage	0.0965825
conditioning	0.0964753
teamwork	0.0952938
acumen	0.0949793
reflex	0.0944429
composure	0.0943515
strength	0.0938834
vigor	0.0927925
maneuverability	0.0927419
Creativity	0.0922542
elusiveness	0.0910375
charisma	0.0874634
grace	0.0873647
patience	0.0870577
flair	0.0864909
wit	0.0864689
aggressiveness	0.084893
intellect	0.0848839
lightness	0.0839952
intensity	0.0834738
gumption	0.0830853
adaptability	0.0824627
virtuosity	0.0814914
perseverance	0.0811437
heft	0.0806262
sharpness	0.0802633
bravery	0.0802057
self-confidence	0.0797915
fitness	0.0796967
assertiveness	0.0794882
depth	0.0788507
talent	0.078748
determination	0.0785667
sophistication	0.0776907
prowess	0.0774967
buoyancy	0.0773093
humility	0.0771162
artistry	0.0770557
fluidity	0.076809
intelligence	0.0762152
ingenuity	0.0761152
velocity	0.0759457
grit	0.0756548
consistency	0.0755856
firepower	0.0748085
marksmanship	0.074501
guile	0.0743432
elasticity	0.0738475
savvy	0.0734663
sensitivity	0.0733236
competence	0.0732595
physique	0.0730528
ferocity	0.0720817
aplomb	0.0719953
oomph	0.0717419
"staying power"	0.0712957
acuity	0.0707354
professionalism	0.0702021
risk-taking	0.0699738
spunk	0.0693911
elegance	0.0693028
aptitude	0.0687912
instinct	0.0686788
"good humor"	0.0686271
Cunning	0.0685164
accuracy	0.0682882
originality	0.0680713
eloquence	0.068006
spontaneity	0.0678589
maturity	0.0675975
subtlety	0.067551
proficiency	0.0671929
sportsmanship	0.0670046
graciousness	0.0669766
efficiency	0.0668835
fluency	0.0668338
"sense of humor"	0.0667247
inventiveness	0.0663212
knack	0.065979
charm	0.0657449
foresight	0.0655972
self-control	0.0654997
coherence	0.0654645
brawn	0.0654602
gusto	0.065201
refinement	0.0651645
self-discipline	0.0650171
capability	0.0645548
immediacy	0.06455
vitality	0.0644494
delicacy	0.0641061
know-how	0.0636326
tact	0.0633327
simplicity	0.063175
mastery	0.0631354
dedication	0.062876
"good looks"	0.0625664
beauty	0.0624792
"sex appeal"	0.0622747
breadth	0.0620125
verve	0.0619172
passion	0.0618904
willpower	0.0612988
boldness	0.0612786
swagger	0.061028
wisdom	0.0610198
cohesion	0.0608647
empathy	0.0604757
humor	0.060345
enthusiasm	0.0599902
serenity	0.0595646
wingspan	0.0592277
competency	0.058962
honesty	0.0589575
swiftness	0.0588313
reliability	0.0587376
stealth	0.058701
exuberance	0.0586238
"team spirit"	0.0586048
mettle	0.0584553
cohesiveness	0.0580017
flamboyance	0.0578863
girth	0.0576036
wherewithal	0.057386
vibrancy	0.0571602
persistence	0.0571312
responsiveness	0.0571212
calmness	0.0570606
stature	0.0568951
dignity	0.0567675
diligence	0.0566413
brilliance	0.0565484
expertise	0.0564029
dyslexia	0.0563887
daring	0.0563766
"sense of balance"	0.0562017
horsepower	0.0559764
warmth	0.0556318
coordination	0.0555678
phrasing	0.055445
timing	0.055421
ebullience	0.0553165
imagination	0.0550254
compassion	0.0549322
audacity	0.0548113
acceleration	0.0545973
temperament	0.0545691
inclination	0.0545533
objectivity	0.0543937
rigor	0.0543801
spacing	0.0542286
statesmanship	0.0541999
inflection	0.0539717
"sense of responsibility"	0.0535636
clout	0.0534866
universality	0.0534196
concentration	0.0533975
thoughtfulness	0.0533293
elan	0.0532108
willingness	0.0529583
leverage	0.0529073
gut	0.0526981
rapport	0.0526887
specificity	0.0526594
craftsmanship	0.0521999
bravado	0.0521812
cleverness	0.0521735
"hard work"	0.0520779
competitiveness	0.0519266
"common sense"	0.0515418
freshness	0.0514029
Panache	0.051048
interoperability	0.0509735
))
(aging (desc 3423.12) (sims
urbanization	0.0720692
"rapid growth"	0.0705173
"more than one-fifth"	0.0694002
splintering	0.0655405
influx	0.0653469
"one sixth"	0.0634791
overpopulation	0.0597635
mushrooming	0.0584691
streamlining	0.0569707
demographics	0.0569652
instability	0.055617
"Prudential Insurance Co."	0.0552857
"cross section"	0.053824
"nearly one-fifth"	0.0528591
onslaught	0.0526226
deforestation	0.05223
thinning	0.0520316
Proliferation	0.0517425
scarcity	0.051351
depreciation	0.0512256
fragmentation	0.0509856
"about five percent"	0.0509544
"Sixty-five percent"	0.0509002
"Consumer Federation"	0.0508718
lessening	0.0508248
one-fifth	0.0506512
"more than three-fourths"	0.0506148
"one fifth"	0.0505533
"about one-fifth"	0.049892
banditry	0.049663
targeting	0.0496429
overcapacity	0.0495461
"random sample"	0.0493381
enlargement	0.0490061
"economic condition"	0.0487985
"one tenth"	0.0487926
degradation	0.0486834
advent	0.0479112
uninsured	0.0478895
tripling	0.0475614
"about one quarter"	0.0473616
narrowing	0.0471827
phenomena	0.0469815
"nearly one-third"	0.0468097
"representative sample"	0.0467553
"nearly one-fourth"	0.0463104
"more than one-fourth"	0.0461223
"about one percent"	0.046067
"about three-fourths"	0.0458719
doubling	0.0457587
melting	0.0452626
"nearly one third"	0.0450675
"rising prices"	0.0446965
enumeration	0.0444793
glob	0.0443448
mortality	0.0441706
Emigration	0.0438054
"Forty percent"	0.0437208
dollarization	0.0436552
upsurge	0.0433504
lowering	0.0432496
deflation	0.0431624
"over one-third"	0.0429341
backwardness	0.0427445
eventuality	0.042651
depletion	0.04244
affluence	0.0422244
deterioration	0.0421927
setting-up	0.0417957
decay	0.0416112
Convergence	0.0416066
shrinkage	0.0415219
unfairness	0.041264
tabulation	0.0408964
insecurity	0.0408682
"labor market"	0.0408229
microcosm	0.0406973
"head count"	0.0406413
changeover	0.0405136
merging	0.0403018
"Free Trade Area"	0.0401631
displacement	0.0400132
))
(Agip (desc 2701.92) (sims
Esso	0.247955
UNOCAL	0.247737
Eni	0.22978
Amoco	0.218277
Mobil	0.217553
Texaco	0.216953
"Royal Dutch/Shell"	0.215049
Conoco	0.210103
Chevron	0.187351
BP	0.183677
Statoil	0.177042
Petronas	0.169243
Caltex	0.169037
"British Petroleum"	0.1667
"ELF AQUITAINE"	0.165561
Exxon	0.155977
"Atlantic Richfield"	0.150109
REPSOL	0.1465
Elf-Aquitaine	0.142074
ARCO	0.136213
"Total Fina"	0.134461
Elf	0.133359
"Max Biaggi"	0.132388
"Fiona May"	0.125558
"BP Amoco"	0.125057
PETROBRAS	0.124144
"Renzo Furlan"	0.122078
Petrofina	0.116986
Totalfina	0.108724
"Isolde Kostner"	0.105872
"Renato Ruggiero"	0.105006
Pertamina	0.104567
Sinopec	0.104
"Deborah Compagnoni"	0.0971797
Lukoil	0.0968961
"Alberto Tomba"	0.0944208
"Mario Cipollini"	0.0930835
"Silvia Farina"	0.0921154
"Michele Bartoli"	0.0909155
"Exxon Mobil"	0.0890233
"Gianluca Pozzi"	0.0864821
"Prada Challenge"	0.0853687
Pennzoil	0.0846292
Enron	0.0825411
Sibneft	0.0784549
PTT	0.0772613
"Andrea Gaudenzi"	0.0752762
"Nigerian National Petroleum Corporation"	0.074738
"Siemens AG"	0.0744699
PDVSA	0.0719143
"Marco Pantani"	0.0703082
"Francesco Casagrande"	0.068802
CNOOC	0.0669799
Yukos	0.0661506
"Union Carbide"	0.0658819
Fiat	0.0651544
ABB	0.0615734
"Coca Cola"	0.0607663
"United Technologies"	0.0597761
L'Oreal	0.0595721
Lamborghini	0.059159
"Christian Vieri"	0.0587629
"Shell Oil"	0.0585841
"Gianluca Pagliuca"	0.0582906
"Kinder Bologna"	0.0582351
YPF	0.0582163
"Thomson CSF"	0.0576393
"Luna Rossa"	0.0573509
"Wyeth-Ayerst Laboratories"	0.0560267
Pemex	0.0547142
Aerospatiale	0.0531524
BASF	0.0529488
PLN	0.0528193
Sidanko	0.0517698
"Halliburton Co."	0.0515841
"Procter &AMP; Gamble Co."	0.0513612
Alitalia	0.0505817
"Rita Grande"	0.0500463
Rhone-Poulenc	0.0499279
"Gianfranco Zola"	0.049924
"Alex Zanardi"	0.0496469
Dupont	0.0495642
"Inter Milan"	0.0488413
Cargill	0.0477922
Fiorentina	0.047741
Vivendi	0.0470777
Schlumberger	0.0470137
"sea urchin"	0.0469953
Telkom	0.0469899
Sera	0.0469773
SAirGroup	0.0467166
"International Paper"	0.0463354
Chris-Craft	0.0461878
"Cable &AMP; Wireless"	0.0461678
AXA	0.0454567
ZIFF-DAVIS	0.045301
Agusta	0.0446903
"Bristol-Myers Squibb"	0.0443348
"Media Partners"	0.0443271
"Davide Sanguinetti"	0.0441599
"Fabrizio Ravanelli"	0.0441177
"Enrico Chiesa"	0.0441176
Alcatel	0.0441013
"pedestrian bridge"	0.043726
"Reed Elsevier"	0.0433692
Goodyear	0.0426881
Gazprom	0.0424982
NTL	0.0424
SMIs	0.0423963
CNPC	0.0422739
"Softbank Corp."	0.0421466
"Diego Nargiso"	0.0420495
"Renault SA"	0.0419795
Philips	0.041945
"Exxon Corp."	0.0417709
"NEC Corp."	0.0417165
"Dow Chemical"	0.0417153
Exxon-Mobil	0.0417085
Siemens	0.0415714
"Abbott Laboratories"	0.0413793
Carrefour	0.0413564
Novartis	0.0413545
Bayer	0.0413441
Unilever	0.0409754
Merck	0.0407071
"Gianluca Vialli"	0.0405525
Astra	0.0403659
"Aerospatiale Matra"	0.0402679
refining	0.0400427
Gaudenzi	0.0400205
))
(agitation (desc 9455.79) (sims
go-slow	0.105711
"civil disobedience"	0.0908572
unrest	0.0843163
rebellion	0.0842903
nervousness	0.0826474
instability	0.0821773
anxiety	0.0814539
revolt	0.080474
"subversive activity"	0.0784175
demonstration	0.0782774
"memory loss"	0.0778311
"cash crunch"	0.0763107
unease	0.0749033
insurgency	0.0747461
sabotage	0.0731012
disorientation	0.0725477
provocation	0.0716061
repression	0.0714674
"air attack"	0.071294
restlessness	0.0712734
sickout	0.071157
uprising	0.0711255
discord	0.0710118
"power failure"	0.0709098
"price competition"	0.0708271
hysteria	0.070167
upheaval	0.0700615
walkout	0.0699063
boycott	0.0694988
"enforcement action"	0.0693991
reforestation	0.0687126
"price cutting"	0.0686907
lawlessness	0.0683534
insurrection	0.067915
"work stoppage"	0.0678424
riot	0.0677501
"proxy fight"	0.0674341
insecurity	0.0670973
turbulence	0.0662439
"military action"	0.0658726
hostility	0.0652594
destabilization	0.0651639
furor	0.0648216
"production problem"	0.0643443
tension	0.0641892
disturbance	0.0640201
intimidation	0.0637957
"price pressure"	0.0633085
dizziness	0.0633033
airstrike	0.0632195
Jihad	0.0629992
divisiveness	0.0629689
discontent	0.0629292
friction	0.062837
uncertainty	0.0627343
bombardment	0.0624941
confrontation	0.0624845
insomnia	0.0624428
pessimism	0.0622733
frustration	0.0621858
flare-up	0.0619756
bullishness	0.0617581
panic	0.0612142
"earnings disappointment"	0.0610892
rioting	0.0609434
Distress	0.0608838
sit-in	0.0608512
paranoia	0.0606018
stayaway	0.0604915
recrimination	0.0604225
disruption	0.0598551
soul-searching	0.0597119
volatility	0.0597101
warfare	0.0596443
deflation	0.059332
aggression	0.0592416
outrage	0.0591184
resistance	0.0590581
bloodshed	0.058776
bloodletting	0.0586656
paralysis	0.0586445
"coup attempt"	0.0584432
"cost cutting"	0.058424
polarization	0.0583577
confusion	0.0583435
rationing	0.0583311
hallucination	0.0583209
manhunt	0.0582276
escalation	0.0580907
controversy	0.0580396
turmoil	0.0574678
bitterness	0.0573287
mobilization	0.0573214
activism	0.057278
Psychosis	0.057084
harassment	0.0569977
incitement	0.0568328
"Bull Run"	0.0566739
chaos	0.0565812
dislocation	0.0564787
slowdown	0.0563883
ferment	0.0561774
nausea	0.0561262
disunity	0.0560952
resentment	0.0558691
dissent	0.0558592
convulsion	0.0558073
misunderstanding	0.0556616
disinformation	0.0556155
"cold wave"	0.0555484
"military drill"	0.0550822
mutiny	0.0550157
mistrust	0.0548483
"asthma attack"	0.0547946
crackdown	0.0544775
acrimony	0.05441
bickering	0.0543574
alienation	0.0542863
rancor	0.0542383
"liquidity problem"	0.0541571
"price war"	0.0540375
palpitation	0.0539544
fragmentation	0.0538723
helplessness	0.0537247
purge	0.0537176
litigation	0.053704
brinkmanship	0.0536608
headache	0.0536503
eruption	0.0534196
realignment	0.0533378
contraction	0.0531629
tumult	0.0530531
deterioration	0.0527279
numbness	0.0526784
outreach	0.0521274
crises	0.0519541
nosebleed	0.0519142
downsizing	0.051764
"military campaign"	0.0516519
upsurge	0.0516483
dissension	0.0516425
Depression	0.0515117
terror	0.0514126
immunization	0.0513917
shakeout	0.0513748
electioneering	0.0513553
jitters	0.0511897
disenchantment	0.05114
fatigue	0.050972
apathy	0.050908
"crop failure"	0.0508794
hatred	0.0508417
horse-trading	0.0508201
malfunction	0.0508135
blockade	0.0507913
"legal action"	0.0507339
forgetfulness	0.0507263
backlash	0.0506892
weakness	0.0506839
stagnation	0.0506464
famine	0.0506453
selloffs	0.0506313
onslaught	0.0505837
consolidation	0.0505596
feud	0.0503194
"nuclear explosion"	0.0503001
buildup	0.0502252
thinning	0.0500876
overproduction	0.0500814
"arms race"	0.0500515
breakdown	0.0499482
sluggishness	0.0499414
demobilization	0.0498855
retrenchment	0.0498836
bargaining	0.04967
disharmony	0.0495723
discomfort	0.0495057
deprivation	0.0495056
"panic attack"	0.0494781
uneasiness	0.0494208
"hunger strike"	0.0493735
angst	0.0493266
looting	0.0492621
prejudice	0.0491608
"short covering"	0.049134
hooliganism	0.0491106
apprehension	0.0490768
"air raid"	0.049047
rhetoric	0.0490127
irritation	0.0489937
coercion	0.0489796
tremor	0.0489338
fracas	0.0489244
shelling	0.0487872
"stage fright"	0.0487708
"covert operation"	0.0487564
strife	0.0486015
firestorm	0.0484813
uptrend	0.0484103
counterattack	0.0482381
))
(agitator (desc 3425.8) (sims
provocateurs	0.109741
zealot	0.0729102
"paramilitary organization"	0.0704188
ideologue	0.0699608
anarchist	0.069723
radical	0.0692183
conspirator	0.0671836
troublemaker	0.0621111
sympathizer	0.0620433
extremist	0.060007
vigilante	0.0599364
leftist	0.0584626
saboteur	0.0577755
rioter	0.0566466
skinhead	0.0564531
plotter	0.0563627
protestor	0.0562951
picketers	0.0560889
thug	0.0560644
recluse	0.0552443
propagandist	0.0550314
radicalism	0.054646
"little leaguer"	0.0542624
firebrand	0.0541901
strongmen	0.0538215
"cause celebre"	0.0534779
capitalist	0.0529701
brawler	0.0529205
leper	0.0524239
Otpor	0.052142
snob	0.0521062
socialist	0.0520731
"National Alliance"	0.0515469
snakehead	0.051153
whiner	0.0510395
demagogue	0.0508339
lunatic	0.0502821
Marxist	0.0498886
arsonist	0.0494555
"Abu Nidal"	0.0491504
"foot soldier"	0.0488616
backbencher	0.0485377
Kook	0.0483103
NCEC	0.0482952
twit	0.0478997
malcontent	0.0478525
underling	0.0477783
reactionary	0.0470799
"church member"	0.0469983
potentate	0.046993
insurgent	0.0469419
weirdo	0.0467673
dissenter	0.0466602
fundamentalist	0.0462651
"heavy hitter"	0.0461383
fanatic	0.0461211
agitation	0.0460112
"pressure group"	0.0459519
"National Union"	0.0458464
kingmaker	0.0458272
enlistee	0.0458012
"Likud Party"	0.0456939
"Joerg Haider"	0.0456475
"party boss"	0.0453462
mutineer	0.0450566
informer	0.0449547
paramilitary	0.0447307
tormentor	0.0447065
"enlisted man"	0.0444881
assemblyman	0.0444374
theorist	0.0443929
crusader	0.0441891
misfit	0.0441334
thinker	0.0440293
"newspaper publisher"	0.0439089
"Sam Rainsy"	0.0437696
"Meretz Party"	0.0437225
screed	0.043709
ex-con	0.0433427
nudist	0.0432914
bigwig	0.0432894
overachiever	0.0431818
All-stars	0.0428975
"dead person"	0.0428163
militancy	0.0427077
abolitionist	0.0426692
hooligan	0.0426272
has-been	0.0425451
"Serbian Radical Party"	0.0424562
"Pavol Demitra"	0.0423668
"soul mate"	0.0423153
pugilist	0.042232
"jazz musician"	0.042175
congressmen	0.0420793
electrician	0.0420359
Islamists	0.041926
activism	0.0417812
warlord	0.0417341
idealist	0.0414785
extremism	0.0412903
officeholder	0.0411156
optimist	0.0410344
preacher	0.0408954
experimenter	0.0408024
"big leaguer"	0.0406497
hardliner	0.0406453
ballplayer	0.040617
"trade unionist"	0.0406162
operative	0.0404961
dramatist	0.040473
"engine failure"	0.040433
neo-Nazis	0.0403396
"power broker"	0.0403299
lawbreaker	0.0403037
MNLF	0.040278
"Mao Tse-tung"	0.0401447
pariah	0.0400618
outcast	0.0400563
"Southern Democrats"	0.0400512
))
(AGL (desc 1108.86) (sims
GPU	0.212158
"U.S. Trust"	0.158511
ExciteAtHome	0.1576
Roberds	0.156459
HBOC	0.149428
"KCP&AMP;L"	0.147254
UTC	0.143292
"Con Edison"	0.140359
Starwood	0.136
Netcom	0.130078
ENTERGY	0.129735
Litton	0.128306
VENATOR	0.12766
Providian	0.123214
RJR	0.122807
Bridgestone	0.121429
FPL	0.120722
AutoNation	0.118178
Humana	0.118157
UAM	0.118057
COLTEC	0.115213
SGI	0.114902
"Pac Bell"	0.114411
"Niagara Mohawk"	0.113385
XYLAN	0.113262
TYCO	0.112914
Gilead	0.11148
LTCB	0.111277
EMC	0.11124
Petrofina	0.110943
Weyerhaeuser	0.11088
MiniMed	0.110849
"Con Ed"	0.110043
"J&AMP;J"	0.10974
Comsat	0.109662
Fingerhut	0.109427
NCR	0.109096
Penney	0.109021
Tandy	0.108617
IDT	0.107543
RCN	0.106461
"Nissan Motor"	0.106187
"Thermo Electron"	0.105064
TCI	0.10478
Halliburton	0.104119
ITT	0.104109
Overnite	0.103934
Agilent	0.103163
Checkfree	0.102273
Inktomi	0.101933
WPP	0.101903
"PG&AMP;E"	0.10126
Norwest	0.100903
BofA	0.100605
BankAmerica	0.1003
IAI	0.0993277
Odwalla	0.0991318
ETrade	0.0989593
Nextel	0.0988646
TELLABS	0.0979936
"Pacific Century"	0.0976723
Pitney	0.0974818
MindSpring	0.0974446
"Georgia Power"	0.097339
PLDT	0.0972083
McKesson	0.0970424
NTT	0.095743
GTE	0.0956829
EarthLink	0.0946109
"Southwestern Bell"	0.0942905
"US West"	0.093822
"Wells Fargo"	0.0935149
"Pacific Bell"	0.0934556
"Southern Co."	0.093372
ATHOME	0.0930973
Webvan	0.0930314
Telmex	0.0929959
MCI	0.0928396
"Sprint PCS"	0.0915119
ALZA	0.0910179
Stratus	0.0909902
Priceline	0.0909376
Scientific-Atlanta	0.0909029
"U S West"	0.090052
Merrill	0.0897468
Ciena	0.0897217
Genzyme	0.0891755
"Washington Mutual"	0.0882458
"First Union"	0.0878846
"MCI WorldCom"	0.0878008
Georgia-Pacific	0.0876636
Tenneco	0.0873404
BOC	0.0871735
Comcast	0.0870809
Amgen	0.0870408
NatWest	0.0868369
Scripps	0.0867288
"RJR Nabisco"	0.0866792
"United Healthcare"	0.0863731
Toysmart	0.0862535
CFTC	0.085828
REVLON	0.0857527
Northpoint	0.0854693
Airtouch	0.0853169
BankBoston	0.0852107
"Red Hat"	0.0849354
"Waste Management"	0.084674
Warnaco	0.0845213
"Real Networks"	0.0844157
sandpiper	0.0843309
"Royal Bank"	0.0843166
SingTel	0.0842668
Schwab	0.0841155
Pairgain	0.0836895
Yamaichi	0.0835351
Lockheed	0.0834236
"Cox Communications"	0.0828017
CompuServe	0.0826924
IMS	0.0826904
"American Home"	0.0825717
"U.S. Soccer Federation"	0.0824753
E-Trade	0.0823204
ENTREMED	0.0821024
Dresdner	0.0820797
AHP	0.0814841
Handspring	0.0812854
Nortel	0.0811621
AmeriTrade	0.0810131
Cabletron	0.0809815
Seagate	0.0808059
UAL	0.080743
Schering	0.0806411
All-Tech	0.0804585
Alltel	0.0802865
"Bell Atlantic"	0.0801429
BellSouth	0.0798526
Broderbund	0.0797372
Furniture.com	0.0796645
Broadcom	0.0795694
"HBO &AMP; Co."	0.079308
Raytheon	0.0791626
Daimler	0.0790757
OPIC	0.0789873
Akamai	0.0788528
Harcourt	0.0787281
NetZero	0.078575
"Consolidated Edison"	0.0784639
CSC	0.0784129
SmithKline	0.078356
HP	0.0782872
SBC	0.0782818
PRIMESTAR	0.0781696
Cendant	0.078009
Carrefour	0.0779863
ICA	0.0779622
Allstate	0.0776759
E-LOAN	0.0775179
Lilco	0.0773953
"Union Carbide"	0.0772704
CITIC	0.0772557
"Stride Rite"	0.077131
Mannesmann	0.0769158
RIAA	0.0765026
Verizon	0.0764705
Mattel	0.0764619
Globalstar	0.076237
"Rite Aid"	0.075943
"Air Canada"	0.0757976
"State Street"	0.0757765
Astra	0.0754558
Omnipoint	0.0751971
AIRTRAN	0.0750793
ADM	0.0750594
NORTHROP	0.0750014
"Diamond Multimedia"	0.0748482
Conrail	0.0746279
Healtheon/WebMD	0.074605
Priceline.com	0.0746045
Emulex	0.0744572
"Publishers Clearing House"	0.0743663
"U.S. Defense Department"	0.0743444
Monsanto	0.074052
CNA	0.073906
Aetna	0.0738899
Blass	0.0738549
Conoco	0.0733815
Pertamina	0.073366
Chiron	0.073335
DirecTV	0.0733184
Amway	0.0730743
ING	0.0729006
Difrancesco	0.0727217
"Exxon Mobil"	0.0727138
Occidental	0.0726477
PictureTel	0.0726022
Xerox	0.0725767
Caldor	0.0725555
"National Semiconductor"	0.0725466
TRW	0.0725006
Wachovia	0.0724897
))
(Agnes (desc 2808.32) (sims
Eileen	0.115916
Doris	0.104344
Evelyn	0.103166
Vicki	0.103014
Kathleen	0.102301
Teresa	0.101973
"Azizah Ismail"	0.100405
Pam	0.0975011
Frances	0.0972069
Terri	0.0954253
Sonia	0.0953275
Patricia	0.0939489
Helen	0.0929936
Valerie	0.0920772
Juanita	0.0904483
Margaret	0.0903614
Lynne	0.0897629
Carolyn	0.0876585
Elaine	0.0867207
Brenda	0.0865229
Dorothy	0.0851787
Sylvia	0.084587
Pauline	0.0845197
Debbie	0.0843932
Cindy	0.0832672
Cheryl	0.0827176
Marlene	0.0824764
Anne	0.0821288
Kristin	0.081421
Millie	0.081065
Beth	0.0809814
Linda	0.0796862
Josephine	0.0794571
Stephanie	0.0790207
Judy	0.0789369
JoAnne	0.0782354
Kathy	0.0771733
Susan	0.0771498
Olga	0.0770594
Shirley	0.0761909
Polly	0.0759992
Rita	0.0756729
Eleanor	0.0755594
Marie	0.0755006
Sandra	0.0754597
Phyllis	0.0753579
Angela	0.0752929
Lydia	0.0750837
Julie	0.0749195
Rebecca	0.0747484
Lori	0.0746606
Christine	0.0745008
Theresa	0.0742686
Jill	0.0742174
Barbara	0.0736559
Sarah	0.0736096
Rachel	0.0735161
Heidi	0.0727236
Emma	0.0726908
Miriam	0.0725437
Camille	0.0725394
Maureen	0.0723667
Sheryl	0.0718734
Colette	0.0715166
colleen	0.0713539
Kimberly	0.0713337
Cynthia	0.0712841
Lucia	0.0711901
Karen	0.0709998
Olivia	0.07047
Diane	0.0703462
Lois	0.070257
Jane	0.0698325
Donna	0.069822
Edith	0.0690158
"Carolyn Bessette Kennedy"	0.0689096
Debra	0.0687088
Tracey	0.0684136
Nicole	0.0677688
Lynn	0.0675657
Peggy	0.0675524
Beverly	0.0674552
Suzanne	0.0673422
Jackie	0.0670123
gloria	0.0669401
ANN	0.0666007
Deborah	0.0664984
Betsy	0.0664627
Rhonda	0.0664074
Jacqueline	0.0662724
Julia	0.0658709
Cathy	0.0658507
Alice	0.065827
Betty	0.0658176
Gail	0.0655996
Maude	0.0655965
Tina	0.0655036
alicia	0.0654373
Jeanne	0.0651792
Janet	0.0650818
Carol	0.0650325
Kate	0.064881
Michele	0.0643931
Claudia	0.0643256
Katherine	0.0641913
Maria	0.0641383
Liz	0.0640875
Leah	0.0636498
Melanie	0.0634685
Esther	0.0632246
Jessie	0.0631296
Lisa	0.0629212
Archie	0.0628407
Dolores	0.0627575
Wanda	0.0626167
Denise	0.0625469
Laurie	0.0624503
Marta	0.0623174
Annie	0.0622254
Lucy	0.0621227
Sally	0.0620991
Marian	0.0617812
Irina	0.0617747
Michelle	0.0614962
Beatrice	0.0614946
Marcia	0.0614434
Laura	0.0612588
Bessie	0.0606575
Lucille	0.0606522
anna	0.0605675
Melissa	0.0604378
Robin	0.0604353
Tipper	0.0603922
Brooke	0.0596966
"Barbara Bush"	0.0587478
Ellen	0.0583489
Cherie	0.0582884
"Hezbollah (Party"	0.0580864
Janice	0.0580411
Edna	0.0579108
Marguerite	0.0578998
Melinda	0.0577869
Connie	0.0577131
Patti	0.0576947
Irene	0.0573744
Jennifer	0.0572026
Emily	0.0571278
Jamie	0.056966
Joan	0.0568953
Toni	0.0564706
Sheila	0.0563985
Hadassah	0.0562704
Catherine	0.0562026
Louise	0.0559838
Caroline	0.0559424
"Patsy Ramsey"	0.0556337
Nina	0.0552728
Gina	0.0551087
Monique	0.0549618
"Leigh Ann"	0.0549209
Jessica	0.0546112
Carrie	0.0546092
"Wang Yeping"	0.0544054
Ida	0.0543788
Nora	0.0541812
Sara	0.0539836
Livia	0.0539055
"adventure story"	0.0532959
Elizabeth	0.0531398
hazel	0.0529907
Erin	0.0529671
Jenny	0.0524945
Erica	0.0524457
becky	0.0522556
Renee	0.0521722
Elena	0.0521699
Rhoda	0.0519447
"Chelsea Clinton"	0.0518535
Vivian	0.0518261
Claire	0.0517016
Natalie	0.0516872
Nancy	0.05139
Karenna	0.0513848
Fran	0.0511997
Alexandra	0.0511048
Kathryn	0.0507918
Christina	0.0507876
Dora	0.0506052
Wilma	0.0505197
Frankie	0.0505122
Vera	0.0504479
Marilyn	0.0502208
Marion	0.0501497
holly	0.0501462
Lorraine	0.0500953
Loretta	0.0494256
"Karenna Gore Schiff"	0.0494249
Elisabeth	0.0493212
Winnie	0.0489537
Mimi	0.0487779
))
(agnostic (desc 1904.87) (sims
humanist	0.196041
atheist	0.133026
Buddhist	0.123773
anarchist	0.116042
Zionist	0.111748
pagan	0.108978
Taoist	0.105444
Hindu	0.102849
internationalist	0.102715
Baptists	0.0992296
monarchist	0.0931769
optimist	0.0902952
iconoclast	0.086286
feminist	0.0848406
"important person"	0.0841315
realist	0.0837262
Sikh	0.0829156
hyper	0.0791633
pro-choice	0.077788
Druse	0.0767249
Marxist	0.0763851
recluse	0.0754892
heterosexual	0.0746528
"throwing away"	0.0729302
believer	0.0727733
segregationist	0.0720724
Moslem	0.071591
alcoholic	0.071061
outcast	0.0699892
Intimidator	0.069986
"all clear"	0.0696167
evangelicals	0.0692492
pro-life	0.0674896
Hick	0.0670447
overachiever	0.0667889
Mormon	0.0664212
"risk taker"	0.0655117
alarmist	0.0654572
Kurd	0.065372
philosopher	0.0651542
hater	0.0647992
antsy	0.0639616
outta	0.0628484
idealist	0.0628245
"chess player"	0.0628034
gung-ho	0.062716
pacifist	0.0624932
freak	0.0618175
Lutheran	0.0617219
"Orthodox Jew"	0.0616017
egomaniac	0.0611279
"black person"	0.0611064
"big leaguer"	0.0610604
hypocrite	0.0608457
"family man"	0.0608319
whiner	0.0599839
bloomer	0.0596389
stepchild	0.0595099
druid	0.059304
Baptist	0.059104
loner	0.0588999
"good person"	0.058816
newspaperman	0.0586756
guessing	0.0579477
non-Muslims	0.057843
sadist	0.0577488
BSA	0.0574584
"fall guy"	0.0572668
Gentile	0.0569938
communicator	0.0568162
pragmatist	0.0567968
tomboy	0.0567353
"sitting duck"	0.0565301
"altar boy"	0.0564567
atheism	0.0556882
idiot	0.0555428
provocateur	0.0552469
"NBA All-Star"	0.0551881
"Roman Catholic"	0.0549877
heretic	0.0549085
zealot	0.0546256
"birthday gift"	0.0544859
paraplegic	0.0542365
wonk	0.0542271
stuntman	0.0534462
perjurer	0.0534336
"jumping up and down"	0.0533351
theologian	0.0531114
Berliner	0.0530274
doer	0.0530154
sinner	0.0529415
brat	0.0529018
procrastinator	0.0526384
preachy	0.0525164
"rich man"	0.0524903
worshipper	0.0524644
typecast	0.0521194
statesman	0.0520773
traditionalist	0.0520339
wacko	0.051914
wordsmith	0.0518232
womanizer	0.0515402
"Asian American"	0.0514636
"New Democrat"	0.0514029
Lightyear	0.0513689
picky	0.0507022
queer	0.0505861
"married man"	0.0502772
thinker	0.0502452
"world traveler"	0.0499758
pornographer	0.0495544
drug-free	0.0495429
slob	0.0493485
nudist	0.0493376
"soul mate"	0.0492594
moron	0.0492112
pariah	0.0492106
anti-Semite	0.0491968
adherent	0.0491588
"farm boy"	0.0490674
snob	0.0490436
worrier	0.0489508
"pain in the neck"	0.0489464
"guardian angel"	0.0489223
cipher	0.0488874
"big sister"	0.0486482
drinker	0.0486007
"Southern Baptist"	0.0485883
murder-suicide	0.0485471
voyeur	0.0482417
"Orthodox Christians"	0.0481489
wimp	0.0480831
"first pitcher"	0.0480744
skeptic	0.0480147
Superman	0.0479831
bigot	0.0479542
"draft dodger"	0.0479386
"punching bag"	0.0478425
infidel	0.0478329
Aggie	0.0476763
minus-@	0.0474975
motoring	0.0474085
Hoosier	0.0473365
fascist	0.0473022
privy	0.0472264
untouchable	0.0471307
Presbyterian	0.0470748
learner	0.0469513
healer	0.0468952
wallflower	0.0468174
junkie	0.046739
evangelist	0.0467076
proactive	0.0466896
nerd	0.0465065
Lithuanians	0.0464502
"one of the boys"	0.0462894
"center of attention"	0.0462552
miler	0.0462482
Seaman	0.0462083
undesirable	0.0461306
"public speaker"	0.0461185
disciple	0.0460935
puzzlement	0.0460726
experimenter	0.0460462
"electrical engineer"	0.0460136
cog	0.0459951
pushover	0.0459699
throwback	0.0458957
"point of reference"	0.0457216
first-rounder	0.0456876
"big spender"	0.0455626
curmudgeon	0.0454821
opportunist	0.0454792
whistle-blower	0.0454422
secularist	0.0450659
Cormier	0.0450288
weakling	0.045026
vegan	0.0449942
Methodist	0.0449662
"chairman emeritus"	0.0449578
enigma	0.0448633
"talent scout"	0.0448605
animator	0.0448405
GOIN	0.0446808
"paying back"	0.0446504
Episcopalian	0.0446338
"hard worker"	0.0446292
perfectionist	0.0444874
lama	0.0444218
up-front	0.044386
AWOL	0.0442934
maniac	0.0441754
innkeeper	0.0440139
"Southern Baptists"	0.0438405
pawn	0.0437514
puncher	0.0437431
pacifism	0.0437305
goofball	0.0437134
Solver	0.0437047
punchline	0.0436863
))
(ago. (desc 1168.55) (sims
"up to @@@@"	0.0700175
))
(agony (desc 18602.5) (sims
anguish	0.162109
pain	0.141312
misery	0.13941
grief	0.121578
frustration	0.112381
trauma	0.111116
humiliation	0.110581
despair	0.110257
hardship	0.109548
heartache	0.106731
indignity	0.105565
horror	0.105008
sadness	0.103676
suffering	0.103275
Distress	0.0999249
loneliness	0.0992733
torment	0.0979894
sorrow	0.0978039
joy	0.0977731
embarrassment	0.097348
heartbreak	0.0968112
confusion	0.0957329
anxiety	0.0938379
shame	0.0926388
terror	0.0896747
disappointment	0.08929
helplessness	0.089261
exhilaration	0.0891413
shock	0.0890746
tragedy	0.0888639
bitterness	0.085529
disgust	0.0818713
excitement	0.080664
chaos	0.0796148
ordeal	0.0795659
devastation	0.0795441
discomfort	0.0795223
stress	0.0787798
bewilderment	0.0787752
anger	0.0786257
angst	0.0781369
pity	0.0756361
disbelief	0.0749972
uncertainty	0.0741678
"mental anguish"	0.0739964
nightmare	0.0737101
rage	0.0731003
Exhaustion	0.0727495
happiness	0.0727024
cruelty	0.0718194
inconvenience	0.0713763
turmoil	0.0712838
panic	0.0711763
deprivation	0.0710949
dislocation	0.0706969
aggravation	0.0700642
tension	0.0699886
pang	0.0698227
outrage	0.0694493
restlessness	0.0686632
adversity	0.0685768
dread	0.0683308
isolation	0.0682757
dismay	0.0677989
feeling	0.0671405
acrimony	0.0670664
danger	0.0668425
insecurity	0.0666376
hopelessness	0.0666093
guilt	0.0662674
hassle	0.0658308
stigma	0.0654108
desperation	0.0652437
ignominy	0.0648727
suspense	0.0642525
pride	0.0640835
futility	0.063469
malaise	0.0633036
apprehension	0.0632787
carnage	0.063241
strife	0.0628904
emotion	0.0628528
astonishment	0.0628293
euphoria	0.0626649
pleasure	0.0623346
misfortune	0.0620473
irritation	0.0618908
ache	0.0618827
delight	0.0617645
emptiness	0.0617089
burden	0.0615722
injustice	0.0614564
nervousness	0.0609597
woe	0.0609027
yearning	0.06079
tiredness	0.0607405
self-doubt	0.0605449
catastrophe	0.060115
disgrace	0.0598853
dilemma	0.0598095
alienation	0.0597078
awe	0.0596734
instability	0.0595603
bloodshed	0.0591954
divisiveness	0.0591162
paralysis	0.0591111
elation	0.0588678
difficulty	0.058356
unease	0.0583419
Depression	0.0579725
aftereffect	0.0578052
boredom	0.0578039
glory	0.0576751
distraction	0.0576385
hand-wringing	0.0573663
gloom	0.0573234
complexity	0.0572481
consequence	0.0571254
fatigue	0.0567432
animosity	0.0567392
headache	0.0567088
trepidation	0.0564637
disillusionment	0.0563061
hatred	0.0562663
laughter	0.0562314
indignation	0.0557906
longing	0.055695
throe	0.0556826
quandary	0.0556526
resentment	0.0555247
volatility	0.0554655
mistrust	0.055155
ambiguity	0.0550762
rancor	0.0548015
passion	0.0547662
predicament	0.0545874
uneasiness	0.0544126
intrigue	0.0542772
hunger	0.0542441
letdown	0.0541979
darkness	0.0540674
disaster	0.0538775
fury	0.0535223
jubilation	0.053471
hostility	0.0534068
weariness	0.0533742
numbness	0.0533584
vulnerability	0.0533358
torture	0.053277
stalemate	0.0532392
"emotional distress"	0.0532144
"back pain"	0.0531304
foolishness	0.0529704
poverty	0.0528322
thrill	0.0528309
destruction	0.0526479
misunderstanding	0.0526304
paradox	0.0523062
tumult	0.0519039
strangeness	0.0518726
upheaval	0.0518442
peril	0.0518375
ravages	0.0517278
"nervous breakdown"	0.0517127
fascination	0.051639
rigor	0.0515487
controversy	0.0514083
insanity	0.0511844
bleakness	0.0511135
disarray	0.0510375
ugliness	0.0509168
famine	0.0508823
awkwardness	0.0506423
affection	0.0503889
madness	0.0503677
Sacrifice	0.0502615
tribulation	0.0502381
plight	0.0502072
catharsis	0.0501676
ecstasy	0.0501065
absurdity	0.050007
turbulence	0.0499615
calamity	0.0499462
pitfall	0.049945
irony	0.0498687
enmity	0.0498188
solitude	0.0497573
discontent	0.0497503
intensity	0.0497412
reality	0.0497044
evil	0.0496306
weakness	0.049621
temptation	0.0495549
ambivalence	0.0494043
anticipation	0.0492833
frailty	0.0490817
heroism	0.0490299
fragility	0.0489643
exasperation	0.0489207
slump	0.0488658
))
(agreement (desc 310725) (sims
accord	0.350396
Treaty	0.259046
deal	0.256231
pact	0.251692
negotiation	0.22729
resolution	0.196485
settlement	0.196017
talk	0.192206
plan	0.184993
proposal	0.184248
cooperation	0.182365
contract	0.179262
memorandum	0.173827
arrangement	0.17282
protocol	0.171877
compromise	0.163582
law	0.163527
policy	0.159147
decision	0.158707
legislation	0.156351
cease-fire	0.156093
"peace treaty"	0.153482
Declaration	0.152757
"trade agreement"	0.152216
initiative	0.149771
peace	0.149738
discussion	0.143406
meeting	0.141973
relation	0.141565
bill	0.139771
measure	0.138951
constitution	0.138324
regulation	0.137914
process	0.137694
partnership	0.137558
program	0.137521
guideline	0.13621
consensus	0.134778
document	0.133987
summit	0.13349
provision	0.133201
commitment	0.131165
rule	0.130484
principle	0.129423
consultation	0.129152
understanding	0.127655
reform	0.127483
dialogue	0.126282
effort	0.125222
solution	0.124963
decree	0.124725
communique	0.123586
merger	0.123183
action	0.122298
progress	0.122129
Implementation	0.122056
framework	0.121947
relationship	0.121542
package	0.121531
statement	0.120624
project	0.120449
ceasefire	0.120314
truce	0.118938
issue	0.118502
dispute	0.118361
charter	0.118344
ruling	0.117566
Alliance	0.116567
withdrawal	0.116104
strategy	0.114948
amendment	0.114763
conference	0.114165
tie	0.113671
ban	0.112444
government	0.112326
election	0.111239
recommendation	0.111185
pledge	0.111172
exchange	0.110862
development	0.110412
approval	0.10988
mechanism	0.108766
budget	0.108362
offer	0.107655
agenda	0.107411
signing	0.106898
report	0.106607
trade	0.105567
concession	0.105519
procedure	0.105368
contact	0.104607
change	0.104408
announcement	0.104307
move	0.104303
term	0.104259
referendum	0.103637
"letter of intent"	0.102997
restriction	0.102358
vote	0.102212
conflict	0.101532
system	0.101511
statute	0.100832
convention	0.100691
scheme	0.100636
timetable	0.0996776
stance	0.0996332
order	0.0993141
dialog	0.0992873
resumption	0.0991056
participation	0.0972493
sanction	0.0967977
clause	0.0967099
mediation	0.0959566
coordination	0.0955348
directive	0.0949367
position	0.0945335
return	0.09445
confrontation	0.0943081
visit	0.0942194
breakthrough	0.0936367
reduction	0.0935209
operation	0.0934255
debate	0.0933508
standard	0.0927738
transaction	0.0921167
requirement	0.091809
expansion	0.0916539
Formula	0.0915916
obligation	0.0915732
integration	0.0914098
war	0.0910025
reconciliation	0.0909956
support	0.0907223
establishment	0.0901796
result	0.0901442
deadline	0.0900193
situation	0.0898889
release	0.0896887
status	0.0895684
demand	0.0892027
code	0.0890129
guarantee	0.0889718
moratorium	0.0889305
activity	0.0888699
bid	0.0887572
condition	0.0884009
disarmament	0.0882423
crisis	0.08797
"joint venture"	0.0879605
"international law"	0.0878828
difference	0.0878758
disagreement	0.0877258
Liberalization	0.0873839
request	0.087355
draft	0.0868961
promise	0.0868105
work	0.0867962
deployment	0.0867818
ratification	0.0864756
appointment	0.0864729
Ordinance	0.0863332
"trade relation"	0.0862015
step	0.0861843
"Comprehensive Test Ban Treaty"	0.08612
outcome	0.0858233
"Basic Law"	0.0856852
extension	0.0855737
"free trade"	0.0855428
intervention	0.0854795
loan	0.0850648
lease	0.0848927
covenant	0.0847107
Mission	0.0843055
investment	0.0842283
WTO	0.0840834
mandate	0.0840627
"summit meeting"	0.0840466
objective	0.0839361
reunification	0.0837319
conclusion	0.0836111
lawsuit	0.0834408
membership	0.0831805
assistance	0.0830897
payment	0.0830148
problem	0.082988
pullback	0.0829215
strike	0.0828234
"tax cut"	0.0828185
verdict	0.0828125
letter	0.0819978
security	0.0818791
compliance	0.0817431
acquisition	0.0811364
study	0.0809831
act	0.0809463
"World Trade Organization"	0.0806806
CTBT	0.0805099
approach	0.0804706
case	0.0804619
redeployment	0.0804145
))
(agribusiness (desc 4305.34) (sims
"life science"	0.129121
metallurgy	0.118564
Telecoms	0.118166
petrochemical	0.117128
pharmaceutical	0.11288
telecommunication	0.110155
mining	0.104543
"high technology"	0.103476
biotechnology	0.10186
"consumer product"	0.0982297
forestry	0.09781
shipbuilding	0.0958219
aerospace	0.0946022
"animal husbandry"	0.0944734
ranching	0.0926389
"building material"	0.0922502
electronics	0.0909514
biotech	0.0908232
retailing	0.0907456
banking	0.0892516
"chemical industry"	0.0889129
bioengineering	0.0886927
aquaculture	0.0882999
multibillion	0.086924
agriculture	0.0858823
manufacturing	0.0854376
"chain store"	0.0841091
husbandry	0.0840288
machine-building	0.0831974
high-tech	0.0828164
"civil engineering"	0.0815092
aviation	0.0804045
reinsurance	0.0797065
engineering	0.0785687
"information technology"	0.0784129
"real estate"	0.0779152
"electrical engineering"	0.0767331
petroleum	0.0755588
warehousing	0.0755034
"consumer electronics"	0.0754861
horticulture	0.0754076
"snack food"	0.0751405
Trucking	0.0735677
dairy	0.0731145
processing	0.0715194
refining	0.0714969
"investment banking"	0.0707493
fishery	0.0707233
"computer industry"	0.0702311
"specialty chemical"	0.0687693
"oil industry"	0.0675244
"public utility"	0.066248
"electric power"	0.0660872
pan-European	0.0657707
retail	0.0653039
"consumer goods"	0.06477
publishing	0.064766
robotics	0.0641511
"mechanical engineering"	0.0637366
Microelectronics	0.0637186
shipper	0.0636897
textile	0.0636689
"food company"	0.0635649
machinery	0.0634523
cosmetic	0.0627292
"securities industry"	0.0626433
chaebol	0.0625886
Telecom	0.0624832
"drug company"	0.062438
shipping	0.0621828
small-business	0.0619012
conservancy	0.061157
"chemical engineering"	0.0607521
"urban planning"	0.0606406
"communications technology"	0.0604899
auto	0.0603859
"Asian American"	0.0601227
semiconductor	0.0600147
telemarketing	0.0599619
beverage	0.0597366
"electronics industry"	0.0596443
"entertainment industry"	0.0595872
Livestock	0.0590626
farming	0.0586851
handicraft	0.058492
"shipbuilding industry"	0.058429
"venture capital"	0.0583428
state-owned	0.0582771
"investment trust"	0.0580871
"film industry"	0.0576587
"road construction"	0.0574418
multimedia	0.057334
"household appliance"	0.0571047
NGO	0.0569156
steelmaker	0.0567232
"banking industry"	0.0565292
knitwear	0.0563681
"transportation company"	0.0562088
"computer hardware"	0.0560795
multinationals	0.0560694
"private foundation"	0.0557435
"natural resource"	0.0554298
brokerage	0.0553191
"investment house"	0.0552708
"mutual fund"	0.0550537
Daimler-Chrysler	0.0549754
aeronautics	0.054805
catering	0.0546351
Rhone-Poulenc	0.0542993
"consumer credit"	0.0541791
"East Bay"	0.0540534
"billion dollar"	0.0539217
VC	0.0538115
Lukoil	0.0536877
"household product"	0.0535966
"food product"	0.0532955
footwear	0.053256
accountancy	0.0531826
consultancy	0.0529068
broadcasting	0.0528486
"computer graphics"	0.0526979
foodstuff	0.0526936
timber	0.0526319
business-to-business	0.0526004
Arab-American	0.0525354
biochemistry	0.0524932
"building product"	0.0519551
mineral	0.0519047
"South San Francisco"	0.0518493
"home appliance"	0.0518247
landowner	0.051687
breeding	0.0515026
vending	0.0513159
"information service"	0.0506222
forwarding	0.050538
refiner	0.0505148
desalination	0.0504761
medium-sized	0.0500729
REIT	0.0500226
"biological science"	0.0499003
homebuilder	0.0498311
"alcoholic beverage"	0.0497578
"small cap"	0.0497264
"retail chain"	0.0490284
"veterinary medicine"	0.0489159
healthcare	0.0488258
Railtrack	0.0488016
"steel company"	0.0487228
"data processing"	0.0485539
Non-governmental	0.0484758
B@B	0.0482249
"information system"	0.0480647
automation	0.0480381
"computer technology"	0.0479486
"dairy product"	0.0476386
"life insurance"	0.0475861
computing	0.0474177
"information science"	0.0472814
Elf-Aquitaine	0.047223
"Baby Bell"	0.0469896
subsector	0.0469617
"artificial intelligence"	0.0469548
ISPs	0.0468832
YankeeNets	0.0467161
"finance company"	0.0466799
"mail order"	0.0466765
logging	0.046672
"Vivendi SA"	0.0465447
"cable television"	0.0465137
"private corporation"	0.0463919
"De Beers"	0.0460206
genomics	0.0459702
"comparative literature"	0.045832
"city planning"	0.0456625
"wind power"	0.0456561
garment	0.0456174
hydropower	0.0456004
"public works"	0.045285
"trade association"	0.0452169
"insurance market"	0.0451866
"Hollywood studio"	0.0451156
"insurance firm"	0.0450086
Viag	0.0449733
e-business	0.0448871
nonprofits	0.0448505
"mainframe computer"	0.0443974
Gaming	0.044396
Exxon-Mobil	0.0443734
"electronics company"	0.044329
"securities market"	0.0442438
geology	0.0442294
"construction industry"	0.0441463
Thyssen	0.0440623
meteorology	0.043958
"social service"	0.0438086
"bus company"	0.0437655
Media-MOST	0.0435528
"pet food"	0.0432665
"retail operation"	0.0432611
"labor union"	0.0432019
))
(agricultural (desc 2257.46) (sims
"animal husbandry"	0.158495
"chemical industry"	0.111852
mining	0.110295
machine-building	0.107048
conservancy	0.106837
forestry	0.104755
refining	0.100176
petrochemical	0.095579
fishery	0.0946666
irrigation	0.0932197
aeronautics	0.0918956
farming	0.0889264
telecommunication	0.0876678
labor-intensive	0.0872578
shipbuilding	0.0872034
"electronics industry"	0.0859847
aerospace	0.0822031
agronomy	0.0810021
processing	0.0800084
"high technology"	0.078975
"automobile industry"	0.0785332
"building material"	0.0785281
"construction industry"	0.0763755
aviation	0.0750327
metallurgy	0.0750244
pharmaceutical	0.0748878
aquatics	0.0728232
petroleum	0.0723962
export-oriented	0.0720956
"computer hardware"	0.0717597
"housing industry"	0.0712658
"life science"	0.071236
warehousing	0.0702602
state-owned	0.0701356
"product development"	0.0689938
"nuclear energy"	0.0681215
aquaculture	0.068078
husbandry	0.0679746
"public works"	0.0653001
catering	0.0651473
"American Psychological Association"	0.0650523
"road construction"	0.064702
retailing	0.0634153
"securities business"	0.0622445
horticulture	0.0622167
prospection	0.0618393
semiconductor	0.0616425
"social service"	0.0608236
"insurance market"	0.0606462
"railway system"	0.0603402
"medical science"	0.059347
parastatals	0.0592853
"oil industry"	0.0592556
afforestation	0.0590848
biotechnology	0.0586257
agribusiness	0.0582971
shipping	0.0582162
"frozen foods"	0.0581847
"natural resource"	0.0581564
"industrial enterprise"	0.057975
"Pudong New Area"	0.0577514
"steel production"	0.0569611
hydropower	0.0569108
meteorology	0.0568652
"canned food"	0.0567341
Telecoms	0.0566051
subsector	0.0561537
designing	0.0559135
"electric power"	0.0558403
ranching	0.055738
"sewage system"	0.055327
"Macao International Airport"	0.0548404
daycare	0.0546648
"California wine"	0.0542805
"food product"	0.0541061
"civil engineering"	0.054088
"labor force"	0.0535926
"banking industry"	0.0533229
"Ministry of Trade"	0.0533055
Propulsid	0.0531886
aquiculture	0.0531764
"social welfare"	0.0530719
contracting	0.0530684
"home appliance"	0.0530525
Microelectronics	0.0528445
alleviation	0.0527493
jute	0.0526384
"commercial law"	0.0524116
"Suzhou Industrial Park"	0.0523758
"investment climate"	0.0521009
academia	0.052092
poultry	0.052018
"frozen food"	0.0518976
"home sale"	0.0516505
Impressionist	0.0513837
non-oil	0.0513698
Eco-tourism	0.0512257
"power tool"	0.0508762
"retail operation"	0.0507669
"weapons system"	0.0507476
"adult education"	0.0503641
"fish meal"	0.0500509
"State Bureau of Environmental Protection"	0.0499346
sanitation	0.0495969
"household appliance"	0.0493294
"bank rate"	0.0487251
"family planning"	0.0486975
industrialization	0.0486023
gemstone	0.0485935
"retail sale"	0.0485762
footwear	0.0481904
"consumer electronics"	0.0479078
hydrology	0.0479015
sub-projects	0.047792
subregion	0.0477161
"commercial enterprise"	0.0476836
"administrative law"	0.0475583
bioengineering	0.0473786
"consumer goods"	0.0473411
decentralization	0.047301
"veterinary medicine"	0.0471795
dairy	0.0470173
"Beijing Municipal Government"	0.0469253
C-@@@J	0.0468328
"academic program"	0.0466929
knowhow	0.0464465
"Ministry of Industry"	0.0463631
"mineral resource"	0.0462888
"public security"	0.0461939
medium-sized	0.0461096
"Zambia Consolidated Copper Mines"	0.0460921
"Capital Airport"	0.0459313
"animal product"	0.0458378
"Self-Defense Forces"	0.0457829
"two units"	0.0457807
"production facility"	0.0454816
"health service"	0.045428
"Sub-Saharan Africa"	0.045371
"Western Desert"	0.0452891
"Enron Corp."	0.045019
"Ninth Five-Year Plan"	0.0450063
"Home Shopping Network"	0.0449987
multimedia	0.0449145
"sugar cane"	0.0448978
LIPITOR	0.0446767
Pudong	0.0445791
"New Beetle"	0.0443192
"tax collection"	0.0442827
Pediatrics	0.0440603
Epogen	0.0439788
"Field Poll"	0.0438106
drilling	0.043734
pulp	0.0435888
"software product"	0.0435609
"fiber optics"	0.0433768
"American Heart Association"	0.0433466
"Sinai Peninsula"	0.0433107
"public transport"	0.0432677
"computer equipment"	0.0432237
CNTA	0.0431999
localization	0.042734
"Rural Development"	0.0425321
"machine tool"	0.0424705
"textile mill"	0.0424346
"electric car"	0.0422644
fins	0.0422545
liberalisation	0.0422541
sawmill	0.0421258
"tax income"	0.0420751
"Thomson Multimedia"	0.0420641
"Ministry of Transport"	0.0419925
"civil service"	0.0419063
"consumer durables"	0.0418795
"business unit"	0.0418408
"oil well"	0.0417857
"power grid"	0.0416661
tranches	0.0415475
"civil defense"	0.0413185
"apparel industry"	0.0412642
"political economy"	0.041247
"Democratic Leadership Council"	0.0411994
"land development"	0.0411205
"precious stone"	0.041
extraction	0.040936
weaponization	0.0408606
Avonex	0.0408101
epidemiology	0.040739
"about @@@ percent"	0.0406861
"Southeastern Legal Foundation"	0.04066
handset	0.0405708
ridership	0.0405265
"trading system"	0.0405059
"customs service"	0.0404834
"electrical power"	0.0404648
"traffic control"	0.0404633
"computer technology"	0.0404307
"information service"	0.0404165
"laundry detergent"	0.0403488
"telephone system"	0.0402278
RU-@@@	0.0402211
))
("Agricultural Bank of China" (desc 2788.22) (sims
"China Construction Bank"	0.492255
"Construction Bank of China"	0.478148
"Bank of Communications"	0.418958
"Industrial and Commercial Bank of China"	0.387402
"Bank of China"	0.313037
"Commercial Bank of China"	0.306764
"State Administration of Foreign Exchange"	0.266168
"State Development Bank"	0.259993
industrial	0.253665
"People's Bank of China"	0.164865
ICBC	0.155083
"State Administration of Taxation"	0.153582
"China Securities Regulatory Commission"	0.130321
"China Southern Airlines"	0.121433
Eximbank	0.119837
"Civil Aviation Administration of China"	0.111936
BOC	0.111257
"Air China"	0.108622
"Hong Kong Monetary Authority"	0.107328
"Shanghai Branch"	0.107191
"China Council"	0.101497
"State Planning Commission"	0.100621
"commercial bank"	0.0988446
"Ministry of Geology"	0.0972291
"Standard Chartered Bank"	0.0969824
CCB	0.0945003
"Hang Seng Bank"	0.0944459
"State Development Planning Commission"	0.0939934
PBOC	0.0930734
PBC	0.0861994
"China Unicom"	0.0847133
"Legend Group"	0.0834845
"Ministry of Public Health"	0.0784709
"All-China Federation"	0.0772942
SDB	0.0739192
"municipal government"	0.0727937
"State Statistics Bureau"	0.0723152
"Ministry of Information Industry"	0.0718585
"Prudential Insurance Co."	0.0705506
"Chen Ziying"	0.0681243
"State Economic and Trade Commission"	0.0675996
"Ministry of Posts"	0.0667969
"Beijing Municipal Government"	0.0665863
"Industrial Bank of Japan"	0.0665502
"Ministry of Construction"	0.0663532
"China Telecom"	0.0654796
"Macao Government"	0.0644995
"Ministry of Education"	0.0644425
"State Education Commission"	0.0643319
"Rural Development"	0.0641315
"Shanghai Stock Exchange"	0.0639631
"General Administration of Customs"	0.0635263
"Sumitomo Bank"	0.0625665
"Credit Suisse"	0.0619048
"Ministry of Agriculture"	0.061105
Citibank	0.0609403
"Bank of Thailand"	0.0608925
"credit union"	0.0598692
"Ministry of Public Security"	0.0596919
SSE	0.0594125
"Ministry of Communications"	0.0592085
CSRC	0.0587976
ABSA	0.0583723
"building society"	0.057431
"Sanwa Bank"	0.0574289
"State Bureau of Environmental Protection"	0.0569434
"Ministry of Finance"	0.0568611
"State Bank of Pakistan"	0.05588
"Ministry of International Trade and Industry"	0.0556904
auditor-general	0.0549947
"finance company"	0.0546031
"Huang Ju"	0.0544376
SETC	0.0542222
"China Eastern Airlines"	0.0538222
"Asian Development Bank"	0.0534335
"Ministry of Labor"	0.053168
"Export-Import Bank"	0.0530489
"Xinhua News Agency"	0.0530067
"merchant bank"	0.0527357
"Thai Farmers Bank"	0.052533
"International Finance Corporation"	0.0523479
"Dresdner Bank"	0.0520008
"Rotary International"	0.0518562
"Ministry of Supervision"	0.051828
"savings bank"	0.0515039
PICC	0.051388
"credit bureau"	0.0511958
"World Jewish Congress"	0.0510873
"First USA"	0.0507769
"State Forestry Administration"	0.0506398
HSBC	0.0504017
"Ministry of Civil Affairs"	0.0497889
"billion over @@ years"	0.0496793
"Beijing University"	0.0495736
"China National Petroleum Corporation"	0.049543
"Bangladesh Bank"	0.0495408
"Dai-Ichi Kangyo Bank"	0.0489556
KPA	0.0488614
"Development Research Center"	0.0484982
"Lahore High Court"	0.0484159
GEF	0.0480202
"U.S. Commerce Department"	0.0479889
"insurance firm"	0.0478882
"Red Cross Society"	0.0478566
"Ministry of Foreign Trade and Economic Cooperation"	0.0476829
"U.S. Immigration and Naturalization Service"	0.0474751
"Finance Ministry"	0.047348
"Hongkong Telecom"	0.0472855
"State Administration of Cultural Heritage"	0.0472238
"Bank of Japan"	0.0471441
"Public Security Ministry"	0.0469027
"Diamond Multimedia"	0.0467236
Ericsson	0.0466358
"JP Morgan"	0.0460979
"Ministry of Health"	0.0458897
CDB	0.0455151
"Ministry of Science"	0.0450161
"Zhejiang University"	0.0448299
"ABN AMRO"	0.0447194
"National Convention Executive Council"	0.0447126
"HSBC Holdings"	0.0445558
Ltd.	0.0441995
"Violence Policy Center"	0.0438205
"Russian Space Agency"	0.0435928
Xinhua/OANA	0.0432432
"Ministry of Railways"	0.043181
"Shanghai Composite Index"	0.0431731
Sumitomo	0.0429777
"Canadian International Development Agency"	0.0429683
Commerzbank	0.0429374
"Morgan Stanley Dean Witter &AMP; Co."	0.0429082
"Jiangxi Province"	0.0428214
"Audubon Society"	0.0428019
"Hitachi Ltd."	0.0425714
"Chevron Corp."	0.0425211
"American Lung Association"	0.0425161
CCF	0.042472
"investment house"	0.0423848
"World Petroleum Congress"	0.042345
"Bank of America"	0.0421566
"Chinese Academy of Sciences"	0.0421539
"Ministry of Foreign Trade"	0.0421199
"Information Office"	0.0421089
"Croatian Democratic Union"	0.0420543
CAAC	0.0417933
CITIC	0.0415536
TYCO	0.0415178
CFA	0.0412691
"Air Line Pilots Association"	0.0411546
"Chinese Academy of Social Sciences"	0.0410774
"financial organization"	0.0410123
"Citigroup Inc."	0.04093
"Ministry of Internal Trade"	0.0407594
"Agriculture Ministry"	0.0407211
"Qinghua University"	0.0405918
SDPC	0.0404979
"United States government"	0.0404352
"Commission on Elections"	0.0404343
Weihai	0.0403089
Ltd	0.0401931
"Chinese Foreign Ministry"	0.0400384
))
(agriculture (desc 85576.7) (sims
tourism	0.263429
farming	0.232046
sector	0.2242
telecommunication	0.223595
industry	0.218095
manufacturing	0.210848
mining	0.208143
forestry	0.205083
infrastructure	0.19564
transportation	0.190169
fishery	0.189784
education	0.187701
"animal husbandry"	0.18463
"information technology"	0.183735
transport	0.174974
construction	0.173331
"chemical industry"	0.171118
finance	0.1708
development	0.169428
economy	0.166502
trade	0.16463
commerce	0.161009
banking	0.160465
electronics	0.160207
processing	0.160196
aviation	0.160178
metallurgy	0.158371
irrigation	0.156702
environment	0.156534
energy	0.15601
production	0.153634
textile	0.152289
conservation	0.151628
health	0.149869
Housing	0.149481
enterprise	0.149025
science	0.147619
petroleum	0.145859
"health care"	0.145131
"building material"	0.143636
engineering	0.140096
"high technology"	0.139794
protection	0.13868
technology	0.137571
petrochemical	0.137347
machinery	0.137019
"natural resource"	0.136027
"higher education"	0.135459
communication	0.135132
"real estate"	0.134103
machine-building	0.133505
biotechnology	0.131815
project	0.130557
resource	0.12889
cultivation	0.128172
investment	0.126877
aquaculture	0.126722
afforestation	0.125866
pharmaceutical	0.125483
export	0.124959
conservancy	0.123334
"electronics industry"	0.121945
"public works"	0.121638
research	0.121238
management	0.121002
"family planning"	0.120216
medicine	0.119986
"social welfare"	0.119535
"public security"	0.118188
"coal industry"	0.116721
"water supply"	0.11552
business	0.114525
prevention	0.114455
oil	0.114226
employment	0.11413
shipbuilding	0.114029
security	0.113941
product	0.113635
breeding	0.112674
"construction industry"	0.112507
"road construction"	0.112474
industrialization	0.111067
e-commerce	0.110274
aerospace	0.109909
"social service"	0.109753
utilization	0.109488
crop	0.109386
agricultural	0.109189
cooperation	0.108883
alleviation	0.10888
automobile	0.108191
Livestock	0.108012
high-tech	0.107987
exploration	0.107958
ecology	0.107864
"oil industry"	0.107385
service	0.106525
shipping	0.106253
reform	0.105299
"social security"	0.105074
"rural area"	0.105057
mineral	0.104972
fishing	0.104651
horticulture	0.104255
labor	0.104178
"mineral resource"	0.104138
"nuclear energy"	0.102483
"health service"	0.102258
consumption	0.102032
culture	0.101923
electricity	0.101232
"public utility"	0.101136
"state enterprise"	0.10076
sanitation	0.100423
system	0.100393
market	0.100312
bioengineering	0.100094
relation	0.0999881
"raw material"	0.099257
railway	0.0991953
growth	0.0991734
hydropower	0.0982808
marketing	0.0980976
geology	0.0972232
chemical	0.0971421
distribution	0.0970931
Coal	0.0969578
planning	0.096937
affair	0.096759
integration	0.0964721
"automobile industry"	0.0963022
"industrial enterprise"	0.0960655
preservation	0.0958623
modernization	0.0957945
taxation	0.0952165
insurance	0.0948425
import	0.0944545
"banking system"	0.0941766
area	0.09416
refining	0.0940654
grain	0.093752
"electric power"	0.0936271
policy	0.0932569
"banking industry"	0.0932096
food	0.0931885
"foreign policy"	0.0930584
region	0.0929654
stability	0.0928044
"life science"	0.092735
Defense	0.0924049
improvement	0.0922533
"world economy"	0.0917985
program	0.0916946
planting	0.0910684
"medical science"	0.0907408
governance	0.0906187
eradication	0.0903872
equipment	0.0901558
productivity	0.0899455
tobacco	0.0898177
garment	0.0897447
operation	0.0897387
facility	0.0897264
farmer	0.0896227
economics	0.089592
"flood control"	0.0895743
retailing	0.0895564
Privatization	0.0894631
fertilizer	0.0891842
activity	0.0886028
"labor market"	0.0885794
commodity	0.0883321
population	0.0880962
Microelectronics	0.0879618
Promotion	0.0879225
timber	0.0877795
wildlife	0.0876774
nutrition	0.0876633
biology	0.0873962
country	0.0873361
military	0.0869277
undertaking	0.086679
husbandry	0.0866279
"urban planning"	0.0865914
"natural gas"	0.0865069
rehabilitation	0.0861688
procurement	0.0861671
"public service"	0.0861477
agribusiness	0.0858823
innovation	0.0853065
welfare	0.0851933
"human right"	0.0851484
farm	0.0851325
supply	0.0850668
reconstruction	0.0849725
SMEs	0.0849481
meteorology	0.0849432
goods	0.0848507
Africa	0.0844959
ministry	0.0843587
))
("Agriculture Department" (desc 10824.6) (sims
USDA	0.286318
"Department of Agriculture"	0.260289
"Environmental Protection Agency"	0.204352
"U.S. Agriculture Department"	0.202529
"Transportation Department"	0.190348
"Treasury Department"	0.179682
"Commerce Department"	0.176434
"Department of Health and Human Services"	0.167386
"Labor Department"	0.166714
"Interior Department"	0.166651
"Energy Department"	0.166195
EPA	0.160455
"Consumer Product Safety Commission"	0.160447
"Education Department"	0.156881
"Food and Drug Administration"	0.15551
"National Institutes of Health"	0.152721
"Health Department"	0.152554
"Department of Labor"	0.150954
"Department of Health"	0.149158
"National Highway Traffic Safety Administration"	0.148567
FAA	0.147192
"Defense Department"	0.144085
"Census Bureau"	0.143803
"Department of Transportation"	0.143564
"Forest Service"	0.143119
"Department of Education"	0.142225
FDA	0.141197
CDC	0.138981
"Federal Aviation Administration"	0.1357
OSHA	0.130736
"State Department"	0.130227
"Drug Enforcement Administration"	0.126714
SSB	0.126663
Pentagon	0.126306
"National Marine Fisheries Service"	0.124505
"Department of Housing and Urban Development"	0.123951
"Finance Ministry"	0.123877
"Health Care Financing Administration"	0.119044
FTC	0.118122
"Federal Communications Commission"	0.117582
"Department of Energy"	0.117288
"Federal Trade Commission"	0.117004
"Justice Department"	0.115934
"U.S. Forest Service"	0.115027
"Agriculture Ministry"	0.114742
"U.S. Census Bureau"	0.113578
"Department of Defense"	0.113499
"Occupational Safety and Health Administration"	0.113312
NRC	0.112587
"Department of Justice"	0.109899
CBO	0.10971
"Federal Emergency Management Agency"	0.109592
"Immigration and Naturalization Service"	0.108314
"Commerce Ministry"	0.10712
FEMA	0.106876
HCFA	0.106249
"World Health Organization"	0.105758
"Texas Department of Public Safety"	0.10514
"Department of Corrections"	0.104667
"Securities and Exchange Commission"	0.104467
"Department of Public Safety"	0.104339
"Conference Board"	0.104138
"Justice Ministry"	0.103829
"U.S. Fish and Wildlife Service"	0.103425
"Health and Human Services Department"	0.10329
"Department of Environmental Protection"	0.102736
"Social Security Administration"	0.102446
"Department of Veterans Affairs"	0.102267
DEP	0.102117
NHTSA	0.102096
"National Transportation Safety Board"	0.101491
"Interior Ministry"	0.101245
"U.S. Defense Department"	0.101095
FCC	0.100987
"National Park Service"	0.100578
agency	0.100411
"election commission"	0.100236
"U.S. State Department"	0.100204
Forrester	0.100119
"Fish and Wildlife Service"	0.0996615
"U.S. Environmental Protection Agency"	0.0995879
HUD	0.0994669
"Health Ministry"	0.0991424
NASA	0.099125
"Health and Welfare Ministry"	0.0988912
"National Cancer Institute"	0.0988192
"Army Corps"	0.0987694
"customs service"	0.0986801
SBA	0.0985621
"federal government"	0.0978365
IRS	0.0973615
"Russian Defense Ministry"	0.0972743
SDPC	0.0971382
bureau	0.0968694
ATF	0.0959422
department	0.0957635
CPSC	0.0954991
"State Statistics Bureau"	0.0952051
"Australian Bureau of Statistics"	0.0949003
"Economic Planning Agency"	0.0943746
"Park Service"	0.0941954
IEA	0.0939205
"Bureau of Alcohol"	0.0939078
"General Accounting Office"	0.0934685
"National Research Council"	0.0932369
"National Aeronautics and Space Administration"	0.093048
"U.S. Treasury Department"	0.0913335
INS	0.0911527
"World Bank"	0.0910425
"Coast guard"	0.0907578
"Department of Commerce"	0.0906926
NTSB	0.0905656
"Department of Public Health"	0.0900968
"Board of Elections"	0.0899838
HHS	0.0897812
"Russian Space Agency"	0.0894575
SEC	0.089253
"State Statistical Bureau"	0.0892491
"European Commission"	0.0892115
"Congressional Budget Office"	0.0886018
Eurostat	0.08858
ministry	0.0883578
"American Academy of Pediatrics"	0.0880086
"French Foreign Ministry"	0.0877381
"Bureau of Labor Statistics"	0.0875359
"central bank"	0.0874122
"Agency for International Development"	0.087171
"Internal Revenue Service"	0.0869014
"U.S. Geological Survey"	0.0866547
"U.S. Customs Service"	0.0865387
EC	0.0859105
BOI	0.0859021
"Texas Department of Health"	0.0856634
"Labor Ministry"	0.0852839
NCI	0.0851883
"U.S. Commerce Department"	0.0850618
"Ministry of Agriculture"	0.0850308
"U.S. Labor Department"	0.0848676
commission	0.0846222
"Defense Agency"	0.0845835
"National Weather Service"	0.0841626
"U.S. Army Corps of Engineers"	0.0833278
"planning commission"	0.0831795
"Truth Commission"	0.0831003
"Department of State"	0.0823902
MTA	0.0823645
"Institute of Medicine"	0.0822682
"Transport Ministry"	0.0821009
"Amnesty International"	0.0820775
CBI	0.0820447
"Bureau of Indian Affairs"	0.0819228
"Russian Foreign Ministry"	0.0819149
CIA	0.0816386
"postal service"	0.0815855
UNICEF	0.0812237
"Office of Management and Budget"	0.0811999
"Red Cross"	0.0809173
PSC	0.0808864
DEA	0.0805457
NIH	0.0801801
"British Foreign Office"	0.0801141
"Industry Ministry"	0.0799158
USGA	0.0798911
"Department of Environmental Conservation"	0.0798545
"Civil Aviation Administration of China"	0.0797888
"Federal Bureau of Investigation"	0.0795697
"American Medical Association"	0.0794409
"Federal Election Commission"	0.0793752
CNTA	0.0791511
"Urban Institute"	0.0791367
"U.S. Immigration and Naturalization Service"	0.0790114
PUC	0.0789687
"Israeli Foreign Ministry"	0.0787897
"Nuclear Regulatory Commission"	0.0786918
Gao	0.0785959
"Defense Ministry"	0.0784893
"Ministry of Health"	0.0784861
DFG	0.0784106
"Human Rights Watch"	0.0782981
"Foreign Ministry"	0.0776743
"National Science Foundation"	0.0773952
"Thai Commerce Ministry"	0.0769953
FBI	0.0769384
"National Election Committee"	0.0768554
PBOC	0.0767016
IDC	0.076375
"College Board"	0.0760364
"EU Commission"	0.0760303
"National Hurricane Center"	0.0759632
HKTA	0.0757573
"National Bureau of Statistics"	0.0756647
"Federal Reserve"	0.075232
WFP	0.0751941
"board of education"	0.0750988
UNAIDS	0.0747707
ILO	0.0745904
"municipal government"	0.0742929
"Bank of Israel"	0.0741582
"Ministry of Defense"	0.0739894
"Bank of Thailand"	0.0739453
))
("Agriculture Ministry" (desc 2890.22) (sims
"Health Ministry"	0.238874
"Labor Ministry"	0.228221
"Home Ministry"	0.202476
"Commerce Ministry"	0.200664
"Education Ministry"	0.188307
"Russian Defense Ministry"	0.187574
"Thai Commerce Ministry"	0.182171
"Finance Ministry"	0.177534
"Interior Ministry"	0.176442
"Justice Ministry"	0.174959
"Ministry of International Trade and Industry"	0.17281
"Defense Agency"	0.172532
"Thai Foreign Ministry"	0.170996
"Culture Ministry"	0.169861
"Ministry of Trade and Industry"	0.16769
"Israeli Foreign Ministry"	0.167195
"Ministry of Agriculture"	0.166254
"Civil Aviation Authority"	0.165827
MOFTEC	0.164239
"Department of Trade and Industry"	0.163853
"Ministry of Labor"	0.162961
"Foreign Ministry"	0.162435
"Defense Ministry"	0.162017
"Civil Aviation Administration of China"	0.159394
"Ministry of Health"	0.157646
"British Foreign Office"	0.156984
NHTSA	0.156191
"Industry Ministry"	0.155915
"Transport Ministry"	0.155206
"Health and Welfare Ministry"	0.155172
"Department of Health"	0.154301
"Ministry of Education"	0.152931
"State Forestry Administration"	0.151197
"Information Ministry"	0.149876
TDB	0.149354
MII	0.148833
SSB	0.147423
SDPC	0.146061
"Bank of Thailand"	0.145119
"Ministry of Economy"	0.145044
CNTA	0.144436
"Ministry of Railways"	0.143206
CIRC	0.143056
"Ministry of Defense"	0.13891
"Ministry of Science"	0.137297
ministry	0.135931
"State Environmental Protection Administration"	0.135875
"Ministry of Tourism"	0.135301
"Education Department"	0.135161
"U.S. State Department"	0.135089
"Ministry of Communications"	0.134751
"China National Tourism Administration"	0.134738
"General Administration of Customs"	0.134551
"State Development Planning Commission"	0.13333
"Ministry of Civil Affairs"	0.13232
"Board of Investment"	0.132188
"Ministry of Posts"	0.132057
"Russian Foreign Ministry"	0.131764
"Russian Space Agency"	0.131309
"Ministry of Construction"	0.13075
"State Economic and Trade Commission"	0.130518
"Ministry of Finance"	0.130356
"State Planning Commission"	0.129219
"Ministry of Foreign Trade and Economic Cooperation"	0.12886
"Defense Department"	0.128542
"Ministry of Public Security"	0.128138
USDA	0.127845
"U.S. Agriculture Department"	0.12751
"planning commission"	0.125806
"Health Department"	0.125144
"U.S. Census Bureau"	0.124523
"World Health Organization"	0.123868
EC	0.12177
"State Statistics Bureau"	0.121673
"Department of Labor"	0.12137
"Ministry of Water Resources"	0.120925
"Department of Finance"	0.120908
"College Board"	0.120883
"Turkish Foreign Ministry"	0.120771
Nepa	0.12032
"Ministry of Justice"	0.12006
"Nuclear Regulatory Commission"	0.120055
"State Education Commission"	0.119731
"municipal government"	0.119319
"U.S. Defense Department"	0.119014
"central bank"	0.118935
"Federal Aviation Administration"	0.117894
"foreign office"	0.117825
"Ministry of Foreign Affairs"	0.117803
"United Nations Children's Fund"	0.117083
"Chinese Foreign Ministry"	0.116022
"Central Bureau of Statistics"	0.115741
"Public Security Ministry"	0.115574
"Department of Foreign Affairs"	0.115388
"Japanese Embassy"	0.114785
"Agriculture Department"	0.114742
"election commission"	0.114618
PBOC	0.114534
"Ministry of Public Health"	0.113634
"Environmental Protection Agency"	0.113344
"Hong Kong Tourist Association"	0.112894
"EU Commission"	0.112883
"National Highway Traffic Safety Administration"	0.112767
"European Commission"	0.11218
"U.S. Immigration and Naturalization Service"	0.111699
"Central Bank of Nigeria"	0.111651
"British High Commission"	0.111123
"Consumer Product Safety Commission"	0.110805
"Airport Authority"	0.110694
"Department of Agriculture"	0.110343
"Ministry of Information Industry"	0.110153
"State Bureau of Cultural Relics"	0.110136
SETC	0.110068
"Transportation Department"	0.109548
"National Bureau of Statistics"	0.109448
"Ministry of Forestry"	0.109218
"Tourism Authority of Thailand"	0.109182
"Bank of China"	0.109147
"Agency for International Development"	0.108902
"Israeli Army"	0.108143
"French Foreign Ministry"	0.108011
WFP	0.107997
BOI	0.107558
"reserve bank"	0.107495
"Census Bureau"	0.107478
"Department of Public Health"	0.107011
"Department of Transportation"	0.106888
"Department of Education"	0.106823
"Kenyan Government"	0.106454
"U.S. Commerce Department"	0.106061
"Energy Department"	0.105933
"Philippine Central Bank"	0.10584
DEP	0.105367
"Independent Electoral Commission"	0.104763
CBK	0.104713
UNESCO	0.104588
"Economic Planning Agency"	0.104549
"People's Bank of China"	0.104517
Tat	0.104273
"National Transportation Safety Board"	0.10424
"International Red Cross"	0.10424
"Ministry of Trade"	0.103932
NTSB	0.103749
"general staff"	0.103572
"U.S. Environmental Protection Agency"	0.10347
"Ministry of Culture"	0.103169
"Asian Development Bank"	0.103048
NCI	0.10298
"Interior Department"	0.102434
ADB	0.102401
CAAC	0.102278
"World Bank"	0.101815
FAA	0.101784
"National Hurricane Center"	0.101543
"Department of Commerce"	0.101405
"Financial Supervisory Agency"	0.101403
NRC	0.101161
"Ministry of Interior"	0.100941
"United Nations Educational, Scientific and Cultural Organization"	0.100874
"English Football Association"	0.100824
"U.S. Soccer Federation"	0.100741
"Department of State"	0.100438
"State Administration of Cultural Heritage"	0.100158
"China Securities Regulatory Commission"	0.0999416
"Department of Environmental Protection"	0.0997656
"United Nations High Commission for Refugees"	0.0997511
CDC	0.0996564
"International Labor Organization"	0.0993035
"State Administration of Taxation"	0.0991248
"World Tourism Organization"	0.0991154
"Olympic Committee"	0.0990909
IEA	0.0987805
SEPA	0.0986755
"Texas Department of Public Safety"	0.0986041
USOC	0.098148
UNDP	0.0978088
"Central Election Commission"	0.0977723
ISTAT	0.0977388
"Ministry of Foreign Trade"	0.0976184
UNHCR	0.0976002
TDC	0.0975903
UNAMET	0.097333
"National Aeronautics and Space Administration"	0.0971054
"Ministry of Personnel"	0.0970956
"Ministry of Information"	0.0969488
"State Administration of Foreign Exchange"	0.0967168
HCFA	0.0962459
USAID	0.0961306
"Iranian Foreign Ministry"	0.0959989
"State Seismological Bureau"	0.0959611
EPA	0.0957299
"Russian Interior Ministry"	0.0955068
"Australian Bureau of Statistics"	0.0953526
"National Election Committee"	0.095331
"National Marine Fisheries Service"	0.095247
"World Wildlife Fund"	0.0952173
UCI	0.0948213
CPSC	0.0947428
"British Embassy"	0.0947319
"Ministry of Industry"	0.0946796
))
(agro-techniques (desc 1066.34) (sims
agro-technology	0.358631
"scientific knowledge"	0.186253
"scientific method"	0.1465
"communications technology"	0.109588
"thermonuclear warhead"	0.0994965
high-yield	0.0963113
"quantum theory"	0.0915205
"weapon system"	0.0871288
"scientific theory"	0.0860744
avionics	0.0826737
"weather satellite"	0.0821982
"computer technology"	0.0821306
know-how	0.0809999
"global positioning system"	0.0809262
"scoring system"	0.0793579
"UNIX operating system"	0.079005
cryptography	0.0784988
irrigation	0.0747445
"automatic teller machine"	0.0741369
"software system"	0.0729059
"computer language"	0.0716874
"early warning system"	0.0710697
"rescue equipment"	0.0706414
endoscope	0.0706197
"nuclear energy"	0.0705547
"teaching method"	0.0698904
"atomic energy"	0.0694059
Marxism	0.068666
fungicide	0.0674272
"catalytic converter"	0.0672506
"economic theory"	0.0663358
"solar energy"	0.0654913
Baccarat	0.0652027
"rule of evidence"	0.0650587
defoliant	0.0626812
knowhow	0.0626187
CDMA	0.0618323
"air-to-air missile"	0.0614219
ointment	0.0600654
"animal husbandry"	0.0589458
CAD	0.0587362
"surveillance system"	0.058533
Putonghua	0.0580993
labor-intensive	0.0579326
"weapons system"	0.0576996
herbicide	0.057694
stethoscope	0.057056
"particle accelerator"	0.0565545
"information superhighway"	0.0562267
"production equipment"	0.0560496
"fighter aircraft"	0.0559111
espanol	0.0556169
"elementary education"	0.0556134
land-use	0.054944
"degree program"	0.0549427
"communications service"	0.0542523
algebra	0.0531903
GSM	0.0528115
"credit system"	0.0527812
stents	0.0524451
Sigma	0.0521282
Brasserie	0.0519392
"telecommunication system"	0.0513284
aquatics	0.0512702
"Playstation II"	0.0510402
Protestantism	0.0510395
"U.N. Resolution @@@"	0.0509819
"medical science"	0.0508448
womanhood	0.0503263
"silicon chip"	0.0499591
"programming language"	0.0499477
"alarm system"	0.0495677
"genetic engineering"	0.0494398
"steam locomotive"	0.0492365
"safety standard"	0.0492039
sparkler	0.0488035
Sharia	0.0488013
"employment contract"	0.0487513
gangrene	0.0480666
"production facility"	0.0474001
videophone	0.0472145
"electronic equipment"	0.0471479
cryptosporidium	0.0471236
"suspension system"	0.046426
BoT	0.0461054
LPG	0.0459505
biogas	0.0459067
CJD	0.0457265
"commercial law"	0.0456594
sectarianism	0.045449
sealant	0.0451708
"safety feature"	0.0444841
"computing system"	0.0443868
algorithm	0.0442846
abattoir	0.0442099
robotics	0.0441733
ESCALADE	0.0440315
"Market system"	0.0440051
"voting machine"	0.0439901
"land resource"	0.0439434
portables	0.0438915
Shockwave	0.043595
Powerbook	0.043545
"wind power"	0.043528
beany	0.0434459
adhesive	0.0434266
"coat of paint"	0.0433767
ephedra	0.0433625
"propulsion system"	0.0433441
"communication network"	0.0432937
"sewage system"	0.0432321
"power unit"	0.0428342
"recreational facility"	0.042419
myeloma	0.0423915
polymer	0.0421736
"rare earth"	0.0421605
"vocational education"	0.0419469
coolant	0.0418235
"maritime law"	0.0416414
"value added tax"	0.041453
"garbage disposal"	0.0413806
sheeting	0.0413099
countermeasure	0.0410482
"public toilet"	0.0407957
aperitif	0.0406654
"welcome mat"	0.0406274
"software package"	0.0405538
Sodom	0.0403544
"meteorological satellite"	0.0402658
cityscape	0.0402375
airship	0.0402128
"fishing gear"	0.0400187
))
(agro-technology (desc 1113.56) (sims
agro-techniques	0.358631
"scientific method"	0.144622
"scientific knowledge"	0.140972
"nuclear energy"	0.114089
"computer technology"	0.110797
know-how	0.106379
"high technology"	0.105182
"communications technology"	0.0935716
"thermonuclear warhead"	0.0922548
"teaching method"	0.0878778
"weapon system"	0.0862499
"rescue equipment"	0.0854653
"animal husbandry"	0.0833097
"production equipment"	0.0821899
"quantum theory"	0.0793641
"air-to-air missile"	0.0791932
"medical instrument"	0.0783712
high-yield	0.0782983
optic	0.077585
"scientific theory"	0.0761377
endoscope	0.0756215
"telecommunication system"	0.0738405
sheeting	0.0738236
"medical science"	0.0737818
"global positioning system"	0.0737075
"electronic equipment"	0.07349
"Market system"	0.072856
"UNIX operating system"	0.0715294
"economic theory"	0.0714577
"particle accelerator"	0.071271
Marxism	0.0710924
minesweeper	0.0709924
"machine tool"	0.0707175
biotechnology	0.0703956
"creature comforts"	0.0699669
irrigation	0.069395
"elementary education"	0.0689407
CAD	0.0688623
fungicide	0.0672275
"weapons system"	0.0668309
"communications service"	0.0662049
"rule of evidence"	0.0660553
"computer equipment"	0.0658769
"catalytic converter"	0.0656212
"household appliance"	0.065372
avionics	0.0652009
Sharia	0.0650609
"solar energy"	0.0650314
ESCALADE	0.063651
CDMA	0.0634872
Microelectronics	0.0630614
"fighter aircraft"	0.0626407
"vocational education"	0.0618747
labor-intensive	0.0617533
algebra	0.0608799
"production facility"	0.0604811
"surveillance system"	0.0594261
"safety feature"	0.0589422
"early warning system"	0.0587357
"fiber optics"	0.0587315
"scoring system"	0.0585529
metallurgy	0.0582584
"value added tax"	0.058055
crime-fighting	0.0580169
bioengineering	0.0579472
"power unit"	0.0577797
"safety standard"	0.0575962
"data communication"	0.0572809
ecotourism	0.0571843
"biological science"	0.0566147
robotics	0.0564929
"automatic teller machine"	0.0563467
"voting machine"	0.0559431
"e- commerce"	0.055104
"weather satellite"	0.0550629
"Port Klang"	0.0549864
Sino	0.054769
"genetic engineering"	0.0542068
"weather forecasting"	0.0541152
"degree program"	0.0539509
sonar	0.0534547
syllabus	0.053355
ointment	0.0532049
"communications network"	0.0528939
Sigma	0.0526459
gimmickry	0.0525114
cryptography	0.0524165
"transportation system"	0.0523146
"wheat flour"	0.0522112
stents	0.0520692
"software system"	0.0518226
"social assistance"	0.0517124
automation	0.0517029
"food product"	0.051546
"electric current"	0.051531
multi-polarization	0.0515281
knowhow	0.051456
"atomic energy"	0.0511295
sport-utility	0.0510635
LPG	0.0509972
Baccarat	0.0506554
petrochemical	0.0504167
"Multimedia Super Corridor"	0.0498999
reforestation	0.0498076
husbandry	0.0493064
vasectomy	0.04925
sealant	0.0490411
"flight simulator"	0.0488275
espanol	0.0488115
Eco-tourism	0.0488102
"video equipment"	0.0488022
fibre	0.0484746
good-neighborliness	0.0484311
Shariah	0.0483565
"Windows CE"	0.048234
"alarm system"	0.04812
"highway system"	0.048111
"computing system"	0.0480511
stethoscope	0.0479229
"optical fiber"	0.0478346
"test equipment"	0.0477149
Lumbini	0.0476811
"information superhighway"	0.0475116
aquaculture	0.0472949
myeloma	0.0472251
"communications equipment"	0.0469193
sectarianism	0.0469159
Mach	0.0468595
lubricant	0.0467888
"Dianchi Lake"	0.0467408
"chemical industry"	0.046709
supercomputers	0.0466206
"electoral system"	0.0465663
adhesive	0.0465429
megaplexes	0.046306
Sino-African	0.046017
"employment contract"	0.0459253
Brasserie	0.0459119
"telephone system"	0.0457367
"communication network"	0.0456517
"credit system"	0.0456421
suffix	0.0454619
SDH	0.045402
"food grain"	0.0451539
"Playstation II"	0.0448927
videophone	0.0447544
"computer language"	0.0444798
"meteorological satellite"	0.0444721
"programming language"	0.0443604
nostrum	0.0441772
TMD	0.0440299
Shockwave	0.0439907
hand-me-down	0.0438822
"silicon chip"	0.0438586
"garbage disposal"	0.043851
rapeseed	0.0436476
"market economy"	0.0435135
"motor oil"	0.0435058
"sewage system"	0.0433161
MSC	0.0432363
"form letter"	0.0431036
morals	0.0430098
"drainage system"	0.0430086
"guided missile"	0.0428791
"economic system"	0.0428634
meteorology	0.042834
"M&AMP;Ms"	0.0427993
weevil	0.0427828
"inventory control"	0.0427295
"solar power"	0.0426881
Protestantism	0.042687
clotting	0.0425766
heredity	0.0425412
wallboard	0.0424404
"opium poppy"	0.0423917
"animal product"	0.0423675
"consumption tax"	0.0423371
"dengue fever"	0.0423233
"suspension system"	0.0420912
"propulsion system"	0.0419972
"urban planning"	0.0419906
"literary work"	0.0418278
algorithm	0.0418073
"rating system"	0.0417958
"maritime law"	0.0417535
"consumer credit"	0.0417392
"reading program"	0.0416848
good-neighborly	0.0415783
cross-Straits	0.0415146
"safety measure"	0.0414992
ketamine	0.0413516
"accounting system"	0.0413468
"steam turbine"	0.0412538
submersible	0.0407892
"incentive program"	0.0407724
"life science"	0.0406851
planetarium	0.0405019
aerodynamics	0.0403808
Projector	0.0403154
"neutron bomb"	0.0402472
))
(agronomist (desc 4552.64) (sims
geologist	0.142526
seismologist	0.137649
"government officials"	0.136844
archeologist	0.136503
"legal expert"	0.133754
businesspeople	0.131007
academician	0.123816
botanist	0.120069
mathematician	0.119811
enterpreneurs	0.118566
demographer	0.117837
"economic expert"	0.117108
zoologist	0.115623
archaeologist	0.104156
scientist	0.103806
calligrapher	0.099829
forester	0.0987072
astronomer	0.0986339
oceanographer	0.0977611
"business executive"	0.0965608
"medical specialist"	0.0949366
technician	0.09445
"air force officer"	0.0943374
"electrical engineer"	0.0936312
Industrialist	0.0934794
physicist	0.0930085
scholar	0.0921207
veterinarian	0.0917136
"computer expert"	0.0896535
educator	0.0889225
"military officer"	0.0886913
entrepreneur	0.0879192
Futurist	0.0870893
linguist	0.0869906
horticulturist	0.0854348
sociologist	0.0849073
businessmen	0.0844215
anthropologist	0.0838778
toxicologist	0.0836491
statesmen	0.0830648
academic	0.0830234
criminologists	0.0829239
researcher	0.0825593
medic	0.0824349
"policy maker"	0.0823358
"foreign officials"	0.082121
pathologist	0.0820211
biologist	0.0816425
"management expert"	0.0812099
"business leader"	0.0811773
jurist	0.0809012
entomologist	0.0804916
paleontologist	0.0802582
meteorologist	0.0802449
ecologist	0.0794622
"computer scientist"	0.0793349
"health professional"	0.0788623
conservationist	0.0782021
"army officer"	0.0776131
"Vo Van Kiet"	0.0776054
nutritionist	0.0762961
banker	0.0760899
educationist	0.0758563
psychologist	0.0757235
historian	0.0757067
ophthalmologist	0.0754938
chemist	0.0754546
"management personnel"	0.0754329
"weather forecaster"	0.0752341
"social scientist"	0.0750787
statistician	0.074437
"computer programmer"	0.0739993
"university student"	0.0739684
surveyor	0.0739654
"landscape architect"	0.0730061
forecaster	0.0728732
"labor leader"	0.0723592
"market watcher"	0.0722558
herbalist	0.0720525
"administrative official"	0.0719598
postgraduate	0.0717063
economist	0.0717004
technologist	0.0710607
fireman	0.0707017
"aerospace engineer"	0.070582
personage	0.0702104
accountant	0.0697573
biochemist	0.0695051
weatherman	0.0694911
"software engineer"	0.0690949
policymakers	0.0688151
lecturer	0.068766
craftsmen	0.0685885
Ruehe	0.0685858
holidaymaker	0.068098
herdsman	0.0680306
planner	0.0680043
diplomat	0.0677318
neurosurgeon	0.0671775
"civil engineer"	0.0667994
missionary	0.0663005
"military attache"	0.0662866
"naval officer"	0.0660954
"graduate student"	0.0660095
storekeeper	0.0659676
urbanites	0.0659577
fencer	0.065729
"factory worker"	0.0657144
epidemiologist	0.0656255
"religious leader"	0.0656147
"currency trader"	0.0650712
physician	0.0645982
restaurateur	0.0644133
neurologist	0.0643551
shopkeeper	0.0641148
steelworker	0.064079
logger	0.0640131
"skilled worker"	0.0639052
environmentalist	0.0638982
"corporate executive"	0.063871
dignitary	0.0637485
psychoanalyst	0.0637454
"art historian"	0.0637151
ornithologist	0.0636898
"intelligence officer"	0.0636788
shipowner	0.0635601
inventor	0.0630193
winemaker	0.0629341
"travel agent"	0.0625804
centenarian	0.0624172
"social worker"	0.0623557
geneticist	0.0623268
parliamentarian	0.0618276
consortia	0.0618262
businessman	0.0613904
mountaineer	0.0612071
auditor	0.061161
physiologist	0.0611406
Koskinen	0.0611208
cosmologist	0.0610114
surgeon	0.0609991
schoolchildren	0.0609525
theologian	0.0607954
shuttlers	0.0606808
Cui	0.0606472
"mechanical engineer"	0.0604103
"insurance agent"	0.0601858
"military personnel"	0.0598987
Realtor	0.0598935
cartographer	0.0598423
functionary	0.0597745
herdsmen	0.0597294
pediatrician	0.0593978
exhibitor	0.0592985
Tella	0.059263
emigrant	0.0591828
seminarian	0.0591013
adoptees	0.0589273
"newspaper publisher"	0.0589244
"general practitioner"	0.0587389
dentist	0.0585296
"public servant"	0.0583996
"federal official"	0.0582007
laborer	0.0581605
Moonves	0.058077
"language school"	0.05788
"eye doctor"	0.0578583
"church member"	0.0575509
"electronics company"	0.0575144
peasant	0.0574232
"stamp collector"	0.0573859
"Wall Street analyst"	0.0570406
Tsang	0.0568896
Moslem	0.0568839
"auto company"	0.0568721
homebuilder	0.0566859
"school teacher"	0.0566625
cabinetmaker	0.0562066
policy-makers	0.0562012
collector	0.0561902
"graphic artist"	0.0561507
translator	0.0561298
acrobat	0.0561009
cadre	0.0560742
Programmer	0.0560316
"faculty member"	0.0559022
laid-offs	0.0558646
artisan	0.0557414
lama	0.0556231
cardiologist	0.0555474
"science teacher"	0.0555081
preservationists	0.0554244
homemaker	0.0553976
"truck driver"	0.055377
oncologist	0.0552861
officals	0.0552508
pharmacist	0.0552085
"technology analyst"	0.0551563
"management consultant"	0.0550968
sculptor	0.0550576
))
(agronomy (desc 1083.66) (sims
Botany	0.137564
biochemistry	0.137007
"molecular biology"	0.136174
"computer science"	0.132364
bioengineering	0.131906
"medical science"	0.130579
"environmental science"	0.127905
"biological science"	0.124924
"earth science"	0.118921
"animal husbandry"	0.114379
biotechnology	0.111501
metallurgy	0.110547
zoology	0.109733
"civil engineering"	0.108177
astrophysics	0.106577
"chemical industry"	0.106334
"soil conservation"	0.106286
"information science"	0.10334
meteorology	0.100998
telemedicine	0.100754
hydrology	0.100463
aquaculture	0.0998893
"electrical engineering"	0.0996299
"social science"	0.0996261
"bond trading"	0.0987737
ophthalmology	0.0980695
"mechanical engineering"	0.0972429
"genetic engineering"	0.0968011
"computer programming"	0.0961693
biology	0.0958282
dentistry	0.0947006
petrochemical	0.0943722
"chemical engineering"	0.0930102
neuroscience	0.0927483
oceanography	0.0892177
"artificial intelligence"	0.0888768
pharmacology	0.0885464
automation	0.0884833
neurobiology	0.088277
"building material"	0.087804
psychiatry	0.0874024
physiology	0.0866318
"liberal arts"	0.0842102
genetics	0.0842084
radiology	0.0835844
TCM	0.0832815
astronomy	0.0827094
"applied science"	0.0826874
forestry	0.082094
mathematics	0.0814675
dermatology	0.0806721
"veterinary medicine"	0.0800222
nursing	0.0797128
irrigation	0.0786226
"nuclear energy"	0.0784561
linguistics	0.0782343
"fire control"	0.0779043
"urban planning"	0.0777686
"physical education"	0.0769431
Microelectronics	0.0765776
aquiculture	0.0765408
"natural science"	0.0764802
"preventive medicine"	0.0763908
sociology	0.076244
"life science"	0.0756288
propagation	0.074431
spaceflight	0.0738972
"Sea Launch"	0.0723895
reforestation	0.0719321
Immunology	0.071038
refining	0.0708337
Pediatrics	0.0706856
"elementary education"	0.070132
gynecology	0.0699622
geophysics	0.0699091
horticulture	0.0696719
"city planning"	0.0683372
"comparative literature"	0.068148
geology	0.0681318
machine-building	0.068093
microbiology	0.0678138
aquatics	0.0677484
CCF	0.067471
"building product"	0.0668219
drilling	0.0662343
"computer application"	0.0657227
LNG	0.06558
TMD	0.0648145
shipbuilding	0.0646398
neurology	0.0644907
genomics	0.0644065
popularization	0.0643749
"investment banking"	0.0641582
"social work"	0.0632608
sheeting	0.0631165
reemployment	0.0626754
anthropology	0.0621635
husbandry	0.0621293
acupuncture	0.0621059
Anatomy	0.0619953
imaging	0.061878
"fine arts"	0.0615666
"adult education"	0.0614178
purification	0.0611889
extraction	0.0603386
sensing	0.060314
"physical therapy"	0.0599228
"fresh food"	0.0597856
export-oriented	0.0596211
geriatrics	0.0591478
"plastic surgery"	0.0587276
"military training"	0.0587192
radiotherapy	0.0583451
self-improvement	0.0583075
Urology	0.0582404
"land development"	0.0581731
ultrasound	0.0580531
archaeology	0.0579781
pathology	0.0575455
U.S.-Russian	0.0571403
conservancy	0.0568199
afforestation	0.0565585
CAD	0.0564434
seismology	0.0563659
privatisation	0.0562582
"R&AMP;D"	0.0561257
e-business	0.0560257
"sewage disposal"	0.0560255
"sign language"	0.0556624
"public works"	0.0554066
forensics	0.0554006
"nuclear physics"	0.055367
electrification	0.0550599
CDMA	0.0550033
criminology	0.0549087
urbanization	0.054895
Talmud	0.0544263
civics	0.0541913
"family planning"	0.0541097
"flood control"	0.0540779
telemarketing	0.0539845
divinity	0.0537316
computerization	0.0534578
warehousing	0.0529669
"garbage collection"	0.0529283
"political science"	0.052892
mechanization	0.0528169
"atomic energy"	0.0527019
prospection	0.0526887
"mass media"	0.0525564
reagent	0.0523787
"computer technology"	0.0523037
"garbage disposal"	0.0521778
detoxification	0.0518459
"machine tool"	0.0515688
cosmology	0.0513227
GEF	0.051018
counterintelligence	0.0509401
"quality control"	0.0509267
"World Vision"	0.0507257
aeronautics	0.0506036
fingerprinting	0.050344
outpatient	0.0501571
mitigation	0.0500833
retrieval	0.0498064
oncology	0.0497752
WSU	0.0496343
epidemiology	0.0496015
cryptography	0.049448
"animal disease"	0.0492729
nanotechnology	0.0491805
"mosquito net"	0.0486226
specialities	0.0485842
"securities trading"	0.0485709
"martial art"	0.048527
"electric power"	0.0484282
"three pitchers"	0.0484032
"wind power"	0.0483049
clarinet	0.048302
"internal medicine"	0.0480154
visualization	0.0479296
fumigation	0.047899
Telecoms	0.0478252
"China Association for Science"	0.0476432
"fine art"	0.0475266
transplantation	0.0474817
mime	0.0474791
calculus	0.0474786
"data processing"	0.047409
gallbladder	0.047327
industrialization	0.047246
CPR	0.0472444
"ground water"	0.0471696
"Auburn University"	0.0471627
POTASH	0.0470312
decompression	0.0469982
"weather forecasting"	0.0466426
"strategic planning"	0.0464617
ecotourism	0.0464436
"special education"	0.0463726
))
(Aguilera (desc 4056.25) (sims
Swindell	0.165231
Mantei	0.158436
Radke	0.144305
"Christina Aguilera"	0.12987
Wohlers	0.119943
Percival	0.117481
Candiotti	0.114953
Mlicki	0.111153
Schourek	0.109667
Wetteland	0.109646
Wickman	0.109627
Bottenfield	0.10784
Remlinger	0.104973
Yarnall	0.104927
Appier	0.101758
Bohanon	0.100288
Guardado	0.0996261
Harnisch	0.0972392
Dempster	0.0971875
"N Sync"	0.0966173
Nen	0.0952528
Ritchie	0.094977
Mulholland	0.0945857
Orosco	0.0945713
Petkovsek	0.0925816
Kile	0.0919354
Mercker	0.0917119
Nagy	0.0915571
Eldred	0.0914885
Elarton	0.0901066
Rincon	0.0885235
Benitez	0.0880998
Loaiza	0.0876425
Woodard	0.0874718
Halama	0.0860193
"Rick Aguilera"	0.0855906
Hudek	0.0855739
Hershiser	0.084813
Belcher	0.0848027
Herges	0.0843332
Ayala	0.0842206
Hasegawa	0.0836541
Burkett	0.0834546
Ligtenberg	0.0831807
Gooden	0.0831583
Embree	0.082861
Olivares	0.0824726
Iglesias	0.0816007
Osuna	0.0812329
Olson	0.0803448
Corsi	0.0803329
Beck	0.0799716
Astacio	0.0798878
Isringhausen	0.0790181
Saberhagen	0.0789673
Valenzuela	0.0788668
Moyer	0.07886
Bocelli	0.0783236
Fassero	0.0782828
Arrojo	0.0778902
Mahomes	0.0774388
Gagne	0.0770627
Reynoso	0.0770108
"Randy Myers"	0.0763857
Yoshii	0.0762725
Millwood	0.0753207
Sasaki	0.0748212
Spielman	0.0747216
McElroy	0.0738706
Autry	0.073646
Rapp	0.0735097
Krall	0.0734397
"Matt Mantei"	0.0734345
Graves	0.0733291
Ankiel	0.0731201
"Gregg Olson"	0.0730025
Timlin	0.0729405
Rusch	0.0729306
Mirer	0.0727205
Rojas	0.0720435
McMichael	0.0715841
Nomo	0.0714261
Guzman	0.0713609
Pulsipher	0.0711032
Etherton	0.0709254
Twain	0.0709233
Harkes	0.0707042
Daal	0.0705573
Neagle	0.0703109
Dreifort	0.0698432
Cloude	0.0698212
Tomko	0.0694078
Hermanson	0.069303
Capriati	0.0691061
Saunders	0.0690868
"Todd Jones"	0.0687769
Checo	0.0685133
"Byung-Hyun Kim"	0.0682689
"DOUG JONES"	0.0679192
Erickson	0.0672527
Witt	0.0670102
Lieber	0.0666271
Meche	0.0665246
Trachsel	0.0665097
Schoeneweis	0.0662116
Hoffman	0.0661703
Helling	0.0659919
Pavano	0.0659409
"Backstreet Boys"	0.0658713
fetter	0.0658542
Schilling	0.0656923
"Bob Wickman"	0.0655555
Valdes	0.0653425
Stephenson	0.0650271
Yagudin	0.0650095
"Robb Nen"	0.0648807
Perisho	0.0647306
Cordova	0.0644818
Rivera	0.0642276
Stottlemyre	0.0639867
"Brian Anderson"	0.0639145
"LeAnn Rimes"	0.0636668
Ledee	0.0635973
"Billy Taylor"	0.0635614
right-hander	0.0635263
Wasdin	0.0630543
Shatner	0.062942
Dandridge	0.0629264
D'Amico	0.062792
"John Wetteland"	0.0627347
"Andrea Bocelli"	0.062709
Meadows	0.0626958
Chelios	0.0626474
Heredia	0.0626398
Cher	0.0623579
Bragg	0.0621448
Schmidt	0.0619476
Rhodes	0.0619127
Guthrie	0.0619061
"Kid Rock"	0.0618698
Yoakam	0.0616849
Bere	0.0615135
Hentgen	0.06137
Benes	0.060992
Alou	0.0608266
Murrell	0.0605786
Santana	0.0603163
"Jose Mesa"	0.0602768
Daigle	0.0601795
"Roberto Hernandez"	0.0601336
Baerga	0.060063
"Jason Christiansen"	0.0600554
"Armando Benitez"	0.0600286
"Mike Timlin"	0.0598654
Pavarotti	0.0596718
Wendell	0.0593291
"Troy Percival"	0.0592556
Irvan	0.0592445
estes	0.0592028
Contreras	0.0590333
Vazquez	0.0588872
Pettitte	0.0588217
Avery	0.0587
"Derek Lowe"	0.0585748
Judd	0.0584402
Shaw	0.0584125
Paltrow	0.0583688
"Eric Milton"	0.0583102
Tapia	0.0582632
Runyan	0.0580981
"Kazuhiro Sasaki"	0.0580515
Dion	0.0576775
"Shania Twain"	0.057518
Lopez	0.0575132
Bergman	0.0574828
Nateq-Nouri	0.0574169
"Mark Wohlers"	0.0572663
Forrest	0.0571438
Smoltz	0.0571428
Holmes	0.0570859
Washburn	0.0569589
Brantley	0.0569332
Holtz	0.0567606
Bartoli	0.0567238
Headley	0.0567142
Moehler	0.0566789
Ceballos	0.056674
Eminem	0.0566003
"Britney Spears"	0.0565004
Irabu	0.0563383
Leiter	0.0560112
Mills	0.0559503
Brogna	0.0558789
"Kent Bottenfield"	0.0557204
Lowe	0.0556792
Lucic	0.0555997
Cora	0.0555752
"Chuck McElroy"	0.0554903
"Terry Mulholland"	0.0554614
Kodikian	0.0553819
))
(Aguirre (desc 931.908) (sims
Aventajado	0.202421
Ruehe	0.178884
Singson	0.170255
Velayati	0.164063
Rodionov	0.16023
Advani	0.153181
Rossotti	0.153161
Meguid	0.151543
Malu	0.149543
Mikhailov	0.148738
Siazon	0.147822
Kasoulides	0.147122
McDaniel	0.140155
Cui	0.139583
Laperriere	0.133117
Rong	0.126458
Zou	0.124642
Condon	0.122357
Lipponen	0.121839
Kyprianou	0.120402
Ikeda	0.119384
Flanagan	0.119167
Wolfson	0.119037
Prewitt	0.118975
Hauser	0.118383
Abdel-Meguid	0.117462
Insulza	0.116727
Eizenstat	0.11597
Fleischer	0.115905
Carmichael	0.115219
Guterres	0.114821
Zucker	0.114234
Kalejs	0.114151
Maslyukov	0.114095
Meissner	0.112936
"Orlando Mercado"	0.112763
Reimer	0.112551
Ikimi	0.111243
Ortega	0.110799
Bhattarai	0.109909
Dini	0.109731
Goossen	0.109629
Kessler	0.109163
Ruggiero	0.10875
Hybl	0.108694
Jarrell	0.108538
Echols	0.107718
Piot	0.10704
Sheng	0.107015
"administration official"	0.106945
McCurry	0.106888
Khalil	0.106678
Bruton	0.106606
"David Bar-Illan"	0.106119
Diouf	0.106047
Sato	0.105882
Zadornov	0.105287
Klima	0.105171
Cashman	0.104159
Shamshad	0.103968
Juppe	0.103583
Locke	0.103072
Bildt	0.102846
"Sergei Yastrzhembsky"	0.102456
Rothenberg	0.102256
Jayakumar	0.102036
Sheehan	0.10202
Scharping	0.101747
Jovanovic	0.100791
Saleh	0.100611
Paxon	0.100557
Tian	0.100476
Ashrawi	0.100382
Felton	0.100182
Kiareldeen	0.0999353
Liao	0.0992383
Troussier	0.0991137
Berger	0.0987742
Kabariti	0.0984528
Harmoko	0.0983692
Sumaye	0.0983638
Feuer	0.098079
Juma	0.097936
Kostov	0.0976974
Finkel	0.0975772
Shalala	0.097466
Auriemma	0.0968519
Alarcon	0.0967847
Napolitano	0.0964589
Inman	0.0961243
Geiger	0.0958769
Solis	0.0956549
Indyk	0.0955948
Sherrill	0.0954787
Fieger	0.0952836
Gosper	0.0952799
Koskinen	0.0948711
Tarawneh	0.0948577
Granic	0.0946692
McInnis	0.0943727
Weisman	0.094243
Mendez	0.0941206
Mercado	0.0938727
Boucher	0.0937942
Kulikov	0.0936591
Valenti	0.0932073
Tsang	0.0931827
Moratinos	0.0928489
Alatas	0.092778
Musa	0.0927516
Boueiz	0.0924351
"de Charette"	0.0924334
Chao	0.0918633
Rashid	0.0916738
Bronfman	0.0915459
Reinhardt	0.0914274
Lehane	0.0912596
Shareh	0.0909471
Azizah	0.0908492
Trepagnier	0.0908249
Monahan	0.0907973
Bellamy	0.0907928
Checketts	0.0907144
Severino	0.0905057
Ftorek	0.0903286
Zambrano	0.090162
Sergeyev	0.0899528
Manley	0.0899072
Prueher	0.0899057
"Israeli Foreign Ministry"	0.0897025
Fino	0.0896375
Hamid	0.0895437
Surin	0.0894917
Gossage	0.0894557
Passarella	0.0891612
Rais	0.0891146
Venables	0.0889457
Soyinka	0.0887926
Moonves	0.0884968
Khai	0.0882778
Dai	0.0882569
Chissano	0.0882476
Hiddink	0.0882368
Azad	0.0882254
Bizimungu	0.0880844
Kharrazi	0.0874744
Waigel	0.087339
Talebi	0.0871804
Gujral	0.0871641
Mahdi	0.0871309
Zuma	0.0870398
Schultz	0.0865647
Zeng	0.0865286
Storin	0.0865079
Bartlett	0.086446
Aleman	0.086352
Ciampi	0.0863497
Sykes	0.0862911
hodgson	0.0861107
Jobe	0.0860204
Cooley	0.0859713
Rawabdeh	0.0858683
Rifkind	0.0857416
Wenger	0.0855603
Valenzuela	0.0855403
Borodin	0.0854834
Ackerman	0.08544
"Igor Sergeyev"	0.0854195
Wasserman	0.0852147
Hasan	0.0852118
Constantinescu	0.0848855
Babbitt	0.0848309
Grasso	0.084556
Allard	0.0843912
Kirkpatrick	0.0842547
Vance	0.0842441
Poole	0.0841197
Bolger	0.0840511
Majali	0.0840313
Bakaly	0.0838935
Zarb	0.0838798
Neff	0.0838094
Sorensen	0.0833873
Engel	0.0833288
Wolfensohn	0.0832575
Haney	0.0828751
Ricci	0.08253
Andreychuk	0.0824065
Solich	0.0823174
Pangalos	0.0821223
Kwasniewski	0.0820509
Zhirinovsky	0.081881
Papandreou	0.081881
Conte	0.081736
McDonough	0.0814712
Difrancesco	0.0813929
Godfrey	0.081248
Samuelson	0.0812013
Nasser	0.0811632
Fuentes	0.081119
))
(Agusta (desc 1781.46) (sims
"Wyeth-Ayerst Laboratories"	0.111707
Aerospatiale	0.109256
Embraer	0.106598
"Pratt &AMP; Whitney"	0.103727
Mabetex	0.100143
"Abbott Laboratories"	0.0887433
"Merck &AMP; Co."	0.0843899
bombardier	0.0838108
Denel	0.0827984
"hush money"	0.0820673
Schering	0.0813507
"Pfizer Inc."	0.0805084
Lagardere	0.0784778
"Pharmacia &AMP; Upjohn"	0.0755662
Alcatel	0.0738164
kickback	0.0724906
"Qualcomm Inc."	0.071832
"Glaxo Wellcome"	0.0708108
"British Aerospace"	0.0700988
"Lucent Technologies Inc."	0.0685063
"motor scooter"	0.0682662
"Brown &AMP; Williamson"	0.0661895
Bechtel	0.0656949
Totalfina	0.0654834
Marconi	0.0653145
"SmithKline Beecham"	0.0650295
Ducati	0.06437
coastguard	0.0642819
"Diamond Multimedia"	0.0637913
"McDonnell Douglas"	0.0637497
"Emperor Akihito"	0.0631331
Eni	0.0629904
Electrolux	0.0628642
"joint-stock company"	0.0627095
"Media Partners"	0.0625084
"Answer Lively"	0.0624631
"Dow Corning"	0.062182
Nokia	0.0612563
"Smith &AMP; Wesson"	0.0604172
Hyundai	0.0591472
"Boeing Co."	0.0589348
Pfizer	0.0588747
Airbus	0.0585779
PLN	0.0569143
"Lockheed Martin"	0.0569129
"Applied Materials"	0.0557692
"Warner-Lambert Co."	0.0556219
Fila	0.0550533
"International Criminal Tribunal for Rwanda"	0.0546427
"Koch Industries"	0.0543634
Puma	0.0539542
"Australian Olympic Committee"	0.0538181
"bus fare"	0.0536657
"Learning Co."	0.053591
"Frederick Sumaye"	0.0532242
NTT	0.053147
dowry	0.0530191
"ski lift"	0.052752
"Nortel Networks"	0.0523819
Changhong	0.0523346
Carlsberg	0.051827
"Lockheed Martin Corp."	0.0516467
Olivetti	0.0516375
Natale	0.0515343
SNCF	0.0514822
decriminalization	0.0513551
Orangina	0.0512844
Beretta	0.049689
"Ministry of Planning"	0.0495499
"JDS Uniphase"	0.0495281
GoTo.com	0.0494
Cairn	0.0491778
Pt	0.0490248
Montesinos	0.0484247
"Max Biaggi"	0.0483617
Psion	0.048347
Firestone	0.0482039
Bayer	0.0478885
Ericsson	0.0477217
"Xinhua News Agency Hong Kong Branch"	0.0476873
REPSOL	0.0476318
"Airbus Industrie"	0.0473646
bodybuilder	0.0472392
Ukranian	0.0472058
PETROBRAS	0.047117
Otis	0.0470849
Lockheed	0.0470676
gratuity	0.0470251
"Liz Claiborne"	0.0466197
Porsche	0.0462893
"Thomson Multimedia"	0.0459617
Pertamina	0.0459576
"Francesco Casagrande"	0.0454925
piloting	0.04518
helix	0.044934
Agip	0.0446903
"Emanuel Steward"	0.0445429
Benetton	0.0442854
Litton	0.0440351
"Richard Mandella"	0.0440338
Norberg	0.0438749
BNFL	0.043872
shoemaker	0.0438674
physiologist	0.0436977
Philips	0.0436886
BSKyB	0.0436026
whistleblower	0.043592
"Old Trieste"	0.042902
"Fiona May"	0.0428894
yachtsman	0.0428492
"Nick Zito"	0.0428172
Novartis	0.0426691
TRW	0.0426575
"First USA"	0.0426443
"Nortel Networks Corp."	0.0425152
"stock company"	0.0421805
AOC	0.0421713
"Johnson &AMP; Johnson"	0.042119
"American Home Products"	0.0420598
"BBDO New York"	0.0419864
"Banque Nationale"	0.041881
Goodyear	0.04183
Garuda	0.0417316
"Business Council"	0.0414654
"Micron Technology"	0.0414642
Alitalia	0.0414579
"Warner Books"	0.041309
NEC	0.0409905
Loral	0.0409198
Peugeot	0.0408662
ITTF	0.0407443
"race horse"	0.0406372
"Paolo Di Canio"	0.0406133
"Netscape Communications Corp."	0.0405646
Ammiano	0.040548
Alcoa	0.0404439
lire	0.0404246
DirecTV	0.0404235
"attack aircraft"	0.0404029
"Union Carbide"	0.0404009
"Cisco Systems Inc."	0.0403946
"Bank Bali"	0.0403233
"Thomas Pickering"	0.0403094
Ltd.	0.0402778
divestitures	0.0401959
Xoom.com	0.0400275
))
("Agustin Arroyo" (desc 1549.11) (sims
"Charles Mukora"	0.26816
"Phil Coles"	0.169933
"Kevan Gosper"	0.143095
"David Sibandze"	0.137364
Un-yong	0.131054
"Jean-Claude Ganga"	0.113655
"Anita DeFrantz"	0.112964
"Dick Pound"	0.104375
"Jacques Rogge"	0.102939
"Congo Republic"	0.100285
"Marc Hodler"	0.0955203
"Andres Gomez"	0.0949097
"Kresimir Zubak"	0.0818499
"Jamil Mahuad"	0.0773808
"Haim Ramon"	0.0707181
"Yu Yongbo"	0.0687681
Ashrawi	0.0671127
"Faisal Husseini"	0.06513
"Huang Ju"	0.0644272
"Nicolas Lapentti"	0.0642853
"Dan Meridor"	0.0636973
Mukora	0.0623894
"Yossi Beilin"	0.0596877
"Momcilo Krajisnik"	0.0592902
"Hanan Ashrawi"	0.0591126
"Ding Guangen"	0.0588922
"John Kim"	0.0584544
"Li Tieying"	0.0581434
"Yossi Sarid"	0.0575307
Gosper	0.0574005
DeFrantz	0.0566286
"Galina Starovoitova"	0.0562804
Zeng	0.0546627
"Fu Quanyou"	0.0544843
"David Jones"	0.0537284
Ben-Ami	0.0526582
"Wei Jianxing"	0.0516883
Jia	0.0501254
"Tom Hayden"	0.0498219
Hagel	0.0492572
Barbour	0.0478666
"Zeng Qinghong"	0.0476536
Cao	0.0475248
"Lu Yufu"	0.0474796
"Jim Kolbe"	0.0474165
Smirnov	0.0469055
"Wen Jiabao"	0.0467331
Borodin	0.0465581
Kazhegeldin	0.0465302
"Tyler Hamilton"	0.0460835
"Jia Qinglin"	0.044653
"Max Cleland"	0.0444128
"Hu Jintao"	0.044275
"John Cleese"	0.0441701
"Le Kha Phieu"	0.0436399
"Li Lanqing"	0.0433084
R-Neb	0.0427493
Kato	0.0424378
"John Conyers"	0.0424233
Sharma	0.0417698
Surin	0.0417067
"Alberto Fujimori"	0.0416573
Anand	0.0412943
Mohamad	0.0412066
"Luo Gan"	0.0410472
D-Vt.	0.04082
Meguid	0.0407158
"Joao Havelange"	0.0404639
Harris-Lewis	0.04015
"Princess Anne"	0.0400202
))
(Ah (desc 11851.8) (sims
oh	0.10838
Uh	0.0717828
yes	0.0694618
um	0.0677185
Yeah	0.0640005
gosh	0.0550651
ok	0.0500663
Hey	0.0483723
Gee	0.0457045
))
(AHA (desc 943.986) (sims
CCPIT	0.120777
NSC	0.114526
DFB	0.102948
SAirGroup	0.0990971
JMC	0.0983476
ITC	0.0982768
"Australian Olympic Committee"	0.0962954
DLC	0.0948733
"American Heart Association"	0.0947808
USEC	0.0947355
MPAA	0.0939713
disbarment	0.0924455
PSE	0.0919038
WEF	0.0894017
PCC	0.0886559
Asia-Europe	0.0877724
FOMC	0.087254
"Airport Authority"	0.0868865
"National Gambling Impact Study Commission"	0.0868011
KONI	0.0866911
ITTF	0.0861427
Wada	0.0859217
CMA	0.0858777
CSC	0.0855362
AmCham	0.0849807
CMAG	0.0849294
"EU Commission"	0.0844295
SPC	0.0820188
ECB	0.081958
CPAFFC	0.0816012
"Screen Actors Guild"	0.0812587
NIH	0.0804304
EBRD	0.0803136
"Ethics Commission"	0.0797196
Botswanan	0.079702
"House Budget Committee"	0.0796543
ISU	0.0792802
PETA	0.0785286
"planning board"	0.0781756
ITU	0.0781133
OPIC	0.077595
F.A	0.0775056
AOC	0.0774925
OCA	0.0771534
CSE	0.0762215
FEC	0.0761872
CAA	0.0761364
ACOG	0.0757864
NRC	0.0757703
"Washington Mutual"	0.0756738
ICA	0.075408
CNTA	0.0753388
"Los Angeles City Council"	0.0753338
UCI	0.0752982
"Wine Institute"	0.0751252
"Federal Reserve Bank"	0.074395
"Consumer Product Safety Commission"	0.0740701
Cp	0.0738431
interagency	0.0731993
"CBS Sports"	0.072866
UMNO	0.072652
"Labor office"	0.0723512
IEC	0.0718707
PTA	0.0717376
"Israeli Cabinet"	0.0716654
"civic pride"	0.0709765
"Field Poll"	0.0708464
IDB	0.0707649
"British Foreign Office"	0.0700996
NARAL	0.0699876
BEA	0.0687887
ZCTU	0.0682538
"Humane Society"	0.0681581
IAAF	0.0679844
DSE	0.0674384
"Rules Committee"	0.0673138
"National Institutes of Health"	0.0673025
"Nevada State Athletic Commission"	0.0670559
"PLO Executive Committee"	0.066654
"National Association of Manufacturers"	0.0665491
NTSB	0.0664511
SLOC	0.0664335
CCA	0.0661606
NHTSA	0.0660203
PUC	0.0659028
CDC	0.0658444
Bundesbank	0.0657313
"Congress Working Committee"	0.06551
MTA	0.0653934
"French Foreign Ministry"	0.0646063
"Board of Supervisors"	0.0644869
USOC	0.064358
"Handgun Control"	0.0642938
DEP	0.0640606
"Police Commission"	0.0640214
CTV	0.0639864
CWA	0.0638646
USTA	0.0638623
NEA	0.0636815
"General Council"	0.0636389
"Fish and Wildlife Service"	0.0636361
Telkom	0.0635104
"Common Cause"	0.0633397
CE	0.0631441
ENTREMED	0.0631348
UML	0.0630935
"Southern Co."	0.0629391
BSA	0.0627693
"U.S. Soccer Federation"	0.0625133
anticlimax	0.0624315
Lipper	0.0624185
ITF	0.0623638
AA	0.0622804
HHS	0.0622568
"Senate Budget Committee"	0.0621109
CITES	0.0620444
NHRA	0.0619276
"Education Department"	0.0619136
BOI	0.0617825
inter-Korean	0.0617662
CCB	0.061727
OAS	0.0616705
ADB	0.0614497
AARP	0.0612321
ATA	0.0612022
HKFA	0.0609547
CCF	0.0602011
ExciteAtHome	0.0601537
CNPC	0.0601129
ama	0.0600675
GAAF	0.059915
Massport	0.0596903
"U.S. Immigration and Naturalization Service"	0.0596595
"Promise Keepers"	0.0596521
SMI	0.0596101
"patent office"	0.0595563
"transit authority"	0.0594535
ARATS	0.0593069
ASO	0.0592892
Rudman	0.0592685
IPU	0.0592174
"Association of Flight Attendants"	0.0591805
"National Association of Broadcasters"	0.0590339
ADL	0.0589245
Heinz	0.0587892
UUP	0.0587797
ILO	0.058769
"Health and Welfare Ministry"	0.0587348
CASS	0.0586689
Pairgain	0.0585919
Quokka	0.0584912
ACFTU	0.0584637
RIAA	0.0583334
ICC	0.0582715
IU	0.0581474
SFC	0.0579817
USDA	0.0576046
IMS	0.0571373
PDVSA	0.0570503
Japan-U.S.	0.0569504
"Chinese Olympic Committee"	0.0569012
SFA	0.0567301
FIA	0.0566219
Rwandese	0.056529
"Boeing company"	0.0564476
"Information Center"	0.0564317
"Alcoholics Anonymous"	0.0563114
Medtronic	0.0562563
U.S.-Japan	0.0561668
"Hongkong Telecom"	0.0561562
Alcan	0.0560705
"Caribbean Community"	0.056025
ICTR	0.0559685
FPL	0.0559301
"Civil Aviation Authority"	0.0558684
"National Marine Fisheries Service"	0.0558409
Fernandes	0.0558343
SDB	0.0558279
Amtrak	0.0557032
lucidity	0.0556554
"senior class"	0.0556518
"finance committee"	0.0556
one-to-one	0.055559
E-LOAN	0.0555245
BOC	0.0553937
"North Atlantic Council"	0.0552689
DS	0.0552068
CPSC	0.0550718
NTRA	0.0549591
"Salt Lake Organizing Committee"	0.0548709
CSX	0.0547869
"Executive Committee"	0.0547771
AAA	0.0547448
Ringling	0.054596
PictureTel	0.0545375
ACB	0.0544986
PETROBRAS	0.0544966
north-south	0.0543494
PML	0.0543253
"Human Rights Commission"	0.0541754
))
(Ahern (desc 4378.91) (sims
"Bertie Ahern"	0.296024
Kok	0.206178
Guterres	0.198074
Aznar	0.195103
"John Bruton"	0.18282
Dini	0.182122
Pangalos	0.176021
Klima	0.175239
Shareh	0.175109
Menem	0.173173
Ivanov	0.173018
Simitis	0.172976
Sergeyev	0.172795
Goh	0.171709
Komura	0.170745
Chirac	0.170099
Deuba	0.168966
Rakhmonov	0.167412
Jospin	0.166482
Chretien	0.166387
Mkapa	0.166275
Hashimoto	0.165643
D'Alema	0.165181
Lipponen	0.163881
Phieu	0.162715
Chuan	0.162478
Chavalit	0.162417
Kinkel	0.162321
Ruehe	0.161962
Nasrallah	0.161947
Stoyanov	0.161307
Rifkind	0.16001
Ecevit	0.157454
"Romano Prodi"	0.15677
Blair	0.156664
Cem	0.155633
Meles	0.155367
Orban	0.154267
Nazarbayev	0.153831
Mori	0.152324
"Vo Van Kiet"	0.152072
Prodi	0.151955
Solana	0.151143
Velayati	0.151059
Kharrazi	0.150653
Vajpayee	0.150622
Santer	0.150554
Camdessus	0.150532
Vedrine	0.1501
Shipley	0.149931
Kuchma	0.149221
Jayakumar	0.1491
Ahtisaari	0.149009
Hasina	0.148872
Hume	0.14777
Wolfensohn	0.147064
Kasoulides	0.14698
"Than Shwe"	0.146735
Clerides	0.146133
Kostov	0.145719
Schuessel	0.145488
"John Major"	0.145458
Ikeda	0.145232
Schroeder	0.145154
"Jerzy Buzek"	0.1449
"de Charette"	0.14395
Hariri	0.143433
Tsang	0.142681
Pustovoitenko	0.142099
Boueiz	0.142023
Zhu	0.141765
Azad	0.141542
Constantinescu	0.14152
Dehaene	0.141209
Banharn	0.141167
Barshefsky	0.141028
Mbeki	0.140871
"Ivan Kostov"	0.140752
Shevardnadze	0.140151
Meguid	0.140005
"Yoshiro Mori"	0.139509
"Jose Maria Aznar"	0.13927
Luong	0.138776
Trimble	0.13848
Nujoma	0.137833
Sumaye	0.137686
"Lionel Jospin"	0.137627
Chissano	0.137473
Abdel-Meguid	0.137307
Alatas	0.136934
Nzo	0.136913
Moussa	0.136548
Moratinos	0.136498
"Dos Santos"	0.13626
Granic	0.135077
"Phan Van Khai"	0.134087
"Jacques Chirac"	0.133627
Mowlam	0.133515
"Gerry Adams"	0.133482
Izetbegovic	0.133419
Juncker	0.132738
Buzek	0.132699
Demirel	0.13257
"Paavo Lipponen"	0.131715
"Chuan Leekpai"	0.131663
Karimov	0.131531
"Jean Chretien"	0.131417
Primakov	0.130923
Zou	0.130322
Chiluba	0.12969
Aziz	0.129632
Erbakan	0.128907
Diouf	0.128597
"Frederick Sumaye"	0.128055
Advani	0.128039
Koirala	0.127824
al-Sharaa	0.127353
Seleznyov	0.12713
Museveni	0.127064
Kwasniewski	0.126675
Siazon	0.126632
Frei	0.126393
"Goran Persson"	0.126124
"Mesut Yilmaz"	0.125984
Brittan	0.12583
Peres	0.125752
Khaddam	0.125578
Klestil	0.125084
"Maung Aye"	0.124911
Tung	0.12487
Hoss	0.124846
Gaddafi	0.124497
Mugabe	0.12422
Majali	0.124164
Ikimi	0.124044
"Valery Pustovoitenko"	0.123983
Garang	0.123631
"Antonio Guterres"	0.123611
Talbott	0.123574
Stroyev	0.122521
Scalfaro	0.122256
Wahid	0.122082
Stepashin	0.121892
Mordechai	0.12156
Ogata	0.121489
"Atal Behari Vajpayee"	0.121328
Alarcon	0.121229
Zuma	0.121164
Akayev	0.12081
Lahoud	0.120345
"Tony Blair"	0.120251
Muluzi	0.119724
"King Abdullah II"	0.119596
Erekat	0.119553
Mubarak	0.119513
Lukashenko	0.119436
Jovanovic	0.119419
Surin	0.119342
"Kamal Kharrazi"	0.119242
Gujral	0.119162
Sharansky	0.118951
Bruton	0.118925
Iliescu	0.118839
Qian	0.118621
"Wim Kok"	0.117921
"Ryutaro Hashimoto"	0.117566
Sharif	0.117528
el-Ganzouri	0.117091
"Meles Zenawi"	0.116983
"Atal Bihari Vajpayee"	0.116961
Vasile	0.116926
Singson	0.116555
Saleh	0.116437
Vollebaek	0.116154
Chernomyrdin	0.116143
Herzog	0.11614
"Bill Skate"	0.115951
Zedillo	0.115851
Ben-Ami	0.115502
Rawabdeh	0.115501
"Radu Vasile"	0.115112
Obuchi	0.114634
"Ung Huot"	0.114569
al-Khatib	0.11452
"Inder Kumar Gujral"	0.11443
Zeman	0.114034
Kumaratunga	0.114015
Abubakar	0.113808
Scharping	0.11372
Mandela	0.113561
"Yevgeny Primakov"	0.113453
Beilin	0.113324
Yilmaz	0.113306
"Chief Executive Tung Chee-hwa"	0.113256
Bulatovic	0.113187
Narayanan	0.113117
"Bulent Ecevit"	0.113063
Buthelezi	0.113048
"Costas Simitis"	0.112827
"Atef Obeid"	0.112422
Niyazov	0.112029
Ciller	0.11201
Ruggiero	0.111742
Muoi	0.111665
Sakakibara	0.111511
"John Howard"	0.111498
Albright	0.111345
"Pascoal Mocumbi"	0.111063
Leghari	0.110616
Kiriyenko	0.110534
Milutinovic	0.110467
"Wlodzimierz Cimoszewicz"	0.110286
"Igor Ivanov"	0.11009
"Binyamin Netanyahu"	0.110072
Kabariti	0.110067
"Keizo Obuchi"	0.109993
"Goh Chok Tong"	0.109794
"Salim Hoss"	0.10973
al-Sahhaf	0.10973
"Mikhail Kasyanov"	0.109725
Kasyanov	0.109537
Hrawi	0.109484
Rossello	0.109468
Kyprianou	0.1091
Putin	0.108986
wen	0.108931
"William Cohen"	0.108601
"Bashkim Fino"	0.108165
Weizman	0.108125
Kato	0.108083
Estrada	0.107954
al-Sahaf	0.107797
Dodik	0.107707
Kagame	0.107645
Blatter	0.107404
Buyoya	0.107323
"Rafik Hariri"	0.107304
Masire	0.107284
"Sher Bahadur Deuba"	0.10728
Kohl	0.107255
Insulza	0.107138
Rong	0.106823
Cardoso	0.106573
Qiao	0.106546
"Jordanian King Abdullah Bin Hussein"	0.106349
Pickering	0.106174
Axworthy	0.105866
Tarrin	0.105794
Rua	0.105749
"Chavalit Yongchaiyudh"	0.105472
Rodionov	0.105462
Zhirinovsky	0.105422
Jia	0.105379
Prescott	0.105196
Azizah	0.105163
"Ismail Cem"	0.105038
Hu	0.104855
Sharaa	0.104814
Kavan	0.104782
McCaffrey	0.10473
Ganzouri	0.104678
Jiang	0.104657
"Viktor Chernomyrdin"	0.104461
Fischer	0.104296
Berri	0.104175
Duisenberg	0.103927
Bellamy	0.103904
"Jordanian King Hussein"	0.103641
Annan	0.103385
Nemtsov	0.103055
Waigel	0.102766
LeBlanc	0.102761
"Ehud Barak"	0.10273
al-Bashir	0.102445
"Mikulas Dzurinda"	0.1024
"Zhu Rongji"	0.102274
Tarawneh	0.102006
Cohen	0.101847
"Pandeli Majko"	0.101802
Gadhafi	0.10149
"Necmettin Erbakan"	0.101485
Shaath	0.101419
Berger	0.10138
"Victor Chernomyrdin"	0.101359
"Khin Nyunt"	0.101346
Wu	0.10132
"Tim Fischer"	0.101271
Denktash	0.101243
"Fatos Nano"	0.100867
Moi	0.100797
"Paul Keating"	0.100729
"Prime Minister Banharn Silpa-Archa"	0.100664
"William Perry"	0.100531
"Benazir Bhutto"	0.100395
Abdullah	0.100355
MIYAZAWA	0.100271
Zeng	0.100258
Markovic	0.100142
Eizenstat	0.100007
))
(AHL (desc 4770.22) (sims
"American Hockey League"	0.413024
"International Hockey League"	0.161939
IHL	0.156597
"International League"	0.139223
"National Hockey League"	0.122475
"Class AAA"	0.120261
NHL	0.114743
"Pacific Coast League"	0.111319
WNBA	0.104055
"Division I-AA"	0.0999259
CWS	0.0984891
Pacific-@@	0.09349
"Arena Football League"	0.0916161
"Division @"	0.0914312
ACC	0.0904904
ml	0.0897943
"Big East"	0.0873358
"Western Conference"	0.0871488
"Arena League"	0.087128
NL	0.0868603
"National League"	0.0853978
Bundesliga	0.0850952
"National Basketball Association"	0.0849984
"American League"	0.084624
CBA	0.0836809
"Big @@"	0.0802011
ABL	0.0801885
"National Football League"	0.079258
AFL	0.0791384
"South Regional"	0.0789656
"Big Sky Conference"	0.0789117
"Little League World Series"	0.0787725
"Southeastern Conference"	0.0771548
NFC	0.0763983
"Big Sky"	0.0755944
"Italian League"	0.0746211
"NFL Europe"	0.0740924
AFC	0.0730997
"major league"	0.0723901
Pac-@@	0.0718824
"Atlantic Coast Conference"	0.0710299
A.L.	0.0698367
"College World Series"	0.0693415
"American League West"	0.0683224
"basketball league"	0.0682269
"minor league"	0.0680385
"professional baseball"	0.0678727
"NL East"	0.0677508
"National League West"	0.0670476
"Pan Ams"	0.0669261
"Solheim Cup"	0.0666784
"big league"	0.0658866
"Western Athletic Conference"	0.0641129
"AFC West"	0.0632089
AAA	0.0628924
"National League Central"	0.0622593
"NFC East"	0.0620965
"NL Central"	0.0618217
"Canadian Football League"	0.0615956
"Eastern Conference"	0.0611624
Lobos	0.0585806
"Premier League"	0.0581857
LPGA	0.057886
"American League East"	0.0574323
"Midwest Regional"	0.0570867
"Fighting Irish"	0.0567211
"AFC East"	0.0566349
"Montreal Canadiens"	0.056258
XFL	0.0559662
"National Invitation Tournament"	0.0557255
"Fed Cup"	0.0555478
"Central Division"	0.0550067
"American Football League"	0.0549609
NHRA	0.0547259
under-@@	0.054585
interleague	0.0522944
"Horned Frogs"	0.0521972
Mavs	0.0521875
"Busch Series"	0.0521843
"World Championship"	0.0521165
"English Premier League"	0.0519316
"Federation Cup"	0.0511241
NCAA	0.0509639
Springbok	0.0506399
MLS	0.0506114
"Pacific Division"	0.0502764
"AL West"	0.0499919
"professional football"	0.0498642
"National Collegiate Athletic Association"	0.048836
"Group @"	0.0487266
"NL West"	0.0486482
"World League"	0.0486338
"NCAA Tournament"	0.0479795
"AFC Central"	0.0477743
"European Cup"	0.0474824
CAA	0.0474053
"Eastern Division"	0.047331
"AL East"	0.0472233
Oriole	0.0470111
"NFC West"	0.0469776
"Continental Basketball Association"	0.0467864
Serie	0.0467837
NLCS	0.0463951
"Alamo Bowl"	0.0456148
"little league"	0.0455881
WAC	0.045568
"Buffalo Sabres"	0.045448
"Atlantic Division"	0.0453508
UA	0.0449212
"Thomas Cup"	0.0447913
"NBA Finals"	0.044593
"Davis Cup"	0.0444048
"Conference USA"	0.0443737
"CHARLOTTE STING"	0.0443339
"Miami Fusion"	0.0442727
tourney	0.0442064
"Uber Cup"	0.0439925
Edmonton	0.0439767
"Vancouver Canucks"	0.0435195
"U.S. Senior Open"	0.0434564
"Senior PGA Tour"	0.0434441
"National League East"	0.043265
ATP	0.0430968
"junior college"	0.0429329
"West Regional"	0.0429041
WHA	0.0428321
"Los Angeles Kings"	0.0428071
third-highest	0.0426097
"Phoenix Mercury"	0.0425269
Kalamazoo	0.0424276
ou	0.0423089
MSU	0.0418957
Illini	0.0417576
ALCS	0.0416365
"Orange Bowl"	0.0415938
"professional golf"	0.0415419
WCC	0.0414063
"Cactus League"	0.041357
"Libertadores Cup"	0.0412033
"Northeast Division"	0.0411245
"Kickoff Classic"	0.040889
Providence	0.0407852
thrasher	0.0407744
"Winston Cup"	0.0406816
preseason	0.0406441
))
(Ahmad (desc 1794.67) (sims
Ahmed	0.166483
Hamad	0.153334
Harmoko	0.123851
Khalifa	0.112152
Siazon	0.109952
Singson	0.100551
Advani	0.100369
"Orlando Mercado"	0.0970169
Sato	0.0952091
Aventajado	0.0944684
Benedetti	0.0941852
Ruehe	0.0937656
Bizimungu	0.0888554
Scharping	0.0888422
Vance	0.0872901
Burleigh	0.0872594
Obeid	0.0869989
Maldini	0.0838206
Waxman	0.0820587
shah	0.0816126
Khalil	0.0814771
Kasoulides	0.0805149
Schuerholz	0.080402
Yoon	0.0800832
McKenna	0.0785451
Prewitt	0.0780435
Demaci	0.0777493
"Mo Mowlam"	0.0772938
Gosper	0.077263
DeFrantz	0.0761381
Reimer	0.0749775
Modell	0.0746985
Fleischer	0.0742003
"Robert E. Rubin"	0.0740448
Naumann	0.0739468
Wenger	0.0737739
Valenti	0.0736661
Flanagan	0.0736218
Strauss-Kahn	0.0734842
Baugh	0.0731887
Diouf	0.0731721
Farber	0.0731667
Werner	0.0731622
Rudman	0.0729377
Chadwick	0.0726156
Rossotti	0.072413
Manley	0.0724007
Sheehan	0.0723366
Goff	0.0721482
Rais	0.0719304
Bakaly	0.0716759
Tran	0.0715499
Berri	0.0715266
Kumar	0.0713148
Wolfson	0.0712968
Cui	0.0711674
Klima	0.0711354
Khalid	0.0710026
Ebersol	0.0708235
Murad	0.0707709
Cashman	0.0707031
Mohamed	0.0706731
Caldera	0.0706263
Ikimi	0.070626
Whitsitt	0.0705939
Barad	0.0704784
Yastrzhembsky	0.0703741
GAGE	0.0701622
Zucker	0.0698311
Insulza	0.0695578
Grasso	0.0695575
McCurry	0.0695028
LaPierre	0.0693706
Jayakumar	0.0691222
Al-Faisal	0.0689727
Ainge	0.0688777
Seselj	0.0686808
Lamont	0.068549
Cline	0.0684723
"Robert Aventajado"	0.0683307
Nemtsov	0.0683262
Amin	0.068304
"de Charette"	0.0676062
Finkel	0.0674087
Isa	0.0671504
"Alexander Shokhin"	0.0668693
Patel	0.066849
Bonner	0.0668219
Lehane	0.066698
Mohammad	0.0666534
Allchin	0.0664969
Hybl	0.0664808
Okada	0.0661864
Juma	0.0661806
Ikeda	0.065768
Alioto	0.0654951
Dungy	0.0654898
Goldin	0.0654257
Clements	0.065362
Izetbegovic	0.0653448
Napolitano	0.0649872
"administration official"	0.0649609
Rodionov	0.0648898
Skiles	0.0648891
Babcock	0.0648399
Beazley	0.0647067
Neff	0.0646606
"Henry Cisneros"	0.0645841
Jobe	0.0645178
Kearin	0.0645139
Hiddink	0.0644414
"Dan Glickman"	0.0644209
Glickman	0.0644131
Hess	0.0644113
"Michael Heseltine"	0.0643526
Menchu	0.0642541
Cowher	0.063729
Cremins	0.0634288
Soyinka	0.0632565
Reinhardt	0.0630082
Lew	0.0629026
Saleh	0.0629022
Rosenthal	0.0627394
Aguirre	0.0625578
Harris-Lewis	0.0625001
McCormick	0.0624414
Merritt	0.0624019
Alatas	0.0623989
Zadornov	0.0623488
"Joe Lockhart"	0.0622024
Cooley	0.0621919
Mendez	0.0621846
Abdullah	0.0620408
Stoneman	0.0619368
Conte	0.061711
Shamshad	0.0615994
ISSEL	0.0615643
"Lee Hsien Loong"	0.0614755
Sharma	0.0614521
Verney	0.0614339
Hensley	0.061272
Yazdi	0.0611008
Maurizi	0.0609494
"Anson Chan"	0.0609246
Mandelson	0.0608849
Schrempp	0.0607386
Rubinstein	0.0607267
Flaherty	0.0607002
Pegram	0.0606659
Dunleavy	0.0605843
Cortines	0.0605828
Sahnoun	0.0605058
Yadav	0.0604933
Majali	0.0604128
Omar	0.0602834
Meissner	0.0602308
Mohammed	0.0602211
Polian	0.0600777
Harman	0.0600323
Kessler	0.0600011
Eubanks	0.0599914
Sanderson	0.0598858
Azizah	0.0597708
McInnis	0.0596045
Shareh	0.0595867
Moonves	0.0595702
Xiang	0.0595087
Bolger	0.0594896
"David Bar-Illan"	0.0594407
Constantinescu	0.0594396
Hamlin	0.0593918
Sumaye	0.0593474
Claes	0.0593339
Kono	0.0592954
Wilkens	0.0592944
"Al Fayed"	0.0591602
Abernathy	0.0590724
Abdel-Meguid	0.0588834
Sheehy	0.058862
Vialli	0.0587837
"Brian Cashman"	0.0587705
Solich	0.058664
Boucher	0.0585816
"Michael Portillo"	0.058452
Weldon	0.0584519
Goossen	0.0583459
Quigley	0.0583309
Steiner	0.0583054
Rothenberg	0.0581454
Schmid	0.0581169
Thayer	0.058115
Alderson	0.058094
Schottenheimer	0.0579709
Surin	0.0579272
Magaziner	0.0579234
Choate	0.0579003
Fernandes	0.0578829
Winkler	0.0578746
Barshefsky	0.0578538
Shevardnadze	0.057793
))
(Ahmed (desc 7785.07) (sims
Ahmad	0.166483
Kiareldeen	0.130635
Kalejs	0.130025
Mohamed	0.125339
Hamad	0.122062
Salim	0.120029
Ibrahim	0.118693
Agca	0.117665
Mikhailov	0.117242
Shayler	0.11097
Yassin	0.110744
Abdullah	0.10888
al-Sahaf	0.108148
Kaunda	0.106624
Gotti	0.10465
Cheung	0.103288
Omar	0.102407
Nikitin	0.100084
Priebke	0.0998166
Khalid	0.0985187
Hamid	0.0984318
Khalifa	0.0981074
khan	0.0978051
Soliah	0.0973831
Wolfensohn	0.0959236
Hofer	0.0955535
Berenson	0.0948712
Saleh	0.0945199
Mahmoud	0.0942708
Rashid	0.0939878
Zou	0.0938269
Ivanov	0.0932494
"El Hage"	0.0929803
Mohammed	0.0925638
Karr	0.0924286
Ikimi	0.0922004
"de Charette"	0.092179
Shi	0.0913478
Haouari	0.0913025
Lau	0.0911347
"Ruiz Massieu"	0.0906826
Lundy	0.0901976
Blackthorne	0.089792
Ntuyahaga	0.0891582
Skakel	0.0890764
Jayakumar	0.0890121
Ntakirutimana	0.0888763
Hamzah	0.0883505
Bakaly	0.0881322
Alatas	0.0880133
Sheik	0.0878854
Hassan	0.0859216
Kabariti	0.0854456
Stayner	0.0851421
Ng	0.0846435
Kinkel	0.0844444
Leung	0.083528
Schwarz	0.0832194
Papon	0.08313
Andrei	0.082719
Advani	0.0826068
Wan	0.0824259
Lee	0.082187
Cheng	0.0820799
Merlino	0.0812721
Faget	0.0811981
Abdel-Meguid	0.0808243
Strauss-Kahn	0.0806284
Karbaschi	0.0806231
Obeid	0.0801304
Ali	0.0801212
Brundtland	0.0801119
Zhang	0.0799948
Brody	0.0798542
Lazarenko	0.0796038
Downer	0.0790915
"Sheikh Saad"	0.078779
Mattysse	0.0787783
Vedrine	0.0787106
Abdul	0.0785813
Kharrazi	0.0784772
Joshua	0.0782792
Velayati	0.0782602
Imperatori	0.0774714
"Russell Peeler"	0.0774441
Sharif	0.0773821
Sergeyev	0.0773662
Donohue	0.0771834
Mcbride	0.0770912
Ismail	0.0770719
Hasina	0.0770175
Chan	0.0770017
Alves	0.0769877
Nasrin	0.0769656
Swango	0.0767834
Nujoma	0.0767556
Einhorn	0.0764396
Hsia	0.0763739
Reimer	0.0763376
Abbas	0.076324
Gusinsky	0.0763221
Wang	0.0762209
Cavallo	0.0760695
Kwasniewski	0.0758858
Siazon	0.075791
Michel	0.0755322
Sharaa	0.0753849
Phillip	0.07528
Boueiz	0.0751344
Sumaye	0.075086
Mustafa	0.0746851
"Wen Ho Lee"	0.0743772
Hage	0.0743556
Aziz	0.074244
Chung	0.0740539
"Raul Salinas"	0.0740276
Gregory	0.0739503
Huang	0.07389
Muhammad	0.0738605
Moratinos	0.0738161
Gusmao	0.0737908
Brock	0.0737299
Kirk	0.0737259
Goh	0.0737081
Capano	0.0736372
Lim	0.0736056
Jovanovic	0.0735019
Kasoulides	0.0731554
"Iranian Jews"	0.0730297
Daniel	0.0727965
Komura	0.0727891
Salinas	0.0727062
Bulatovic	0.0725555
Hu	0.0724591
Sheinbein	0.0722574
Kodikian	0.0721818
Yazdi	0.072159
Alarcon	0.0721104
Carruth	0.0719544
Weizman	0.071925
Bhutto	0.0718384
Edward	0.0718061
Copeland	0.0717308
Garofalo	0.0716001
Mordechai	0.071502
Wong	0.0714662
Rupert	0.0713924
Fortier	0.0713865
Qin	0.0712141
Ruehe	0.0710605
Tsang	0.0707292
"Maturino Resendiz"	0.0705017
"Al Fayed"	0.0704955
Eduardo	0.0701679
furrow	0.0701331
Rifkind	0.0701312
Juppe	0.0700957
Dini	0.0699536
Mohammad	0.0699016
Ghani	0.0698848
Nasrallah	0.069745
Lin	0.0696984
Resendez-Ramirez	0.0696428
Fagan	0.0696298
Rahman	0.0695943
Anwar	0.0695727
Li	0.0694481
Manuel	0.0693773
Markovic	0.0690621
Bao	0.0690381
Chen	0.0688733
Ogata	0.0687324
Maktoum	0.0686933
Cem	0.0686278
Ikeda	0.0684688
Xanana	0.0684592
Olson	0.0682801
Nahyan	0.06826
Babitsky	0.0682291
fowler	0.0680085
Robison	0.0678795
Khalil	0.0678518
McDougal	0.0678169
Kyle	0.0678104
Osama	0.0678065
Vasquez	0.0676595
Jewell	0.0675611
Yu	0.067551
Harmoko	0.0674659
Nzo	0.0673931
Robbie	0.0673802
Nicolas	0.0673374
Solana	0.0672494
Ershad	0.0672422
Fernando	0.066821
Zuma	0.0667697
Mkapa	0.0667388
Wyatt	0.0666243
Juan	0.0665906
Akbar	0.0664917
))
("Ahmed Qureia" (desc 1432.47) (sims
"Gennady Seleznyov"	0.276408
"Sheldon Silver"	0.275854
"Abu Ala"	0.255806
"Yegor Stroyev"	0.232587
"Peter Vallone"	0.228056
"Abu Mazen"	0.219258
"Nabil Shaath"	0.191698
"Yasser Abed Rabbo"	0.184316
"Saeb Erekat"	0.179797
"Fehmi Agani"	0.175323
"Robert Aventajado"	0.174461
"Dennis Hastert"	0.17232
"Ricardo Alarcon"	0.169576
"Amien Rais"	0.148744
"Long Yongtu"	0.147494
"Robert Livingston"	0.141035
"Martin McGuinness"	0.139696
"Laurent Fabius"	0.132568
"Oded Eran"	0.130153
"Joseph Bruno"	0.128386
"Yitzhak Molcho"	0.119772
Erekat	0.117934
Harmoko	0.113703
"Koo Chen-fu"	0.113448
"Christopher Hill"	0.113438
"Vaclav Klaus"	0.111107
"Momcilo Krajisnik"	0.107329
"Mahmoud Abbas"	0.103312
"Wang Daohan"	0.100313
"Charlene Barshefsky"	0.0987392
Ben-Ami	0.0959773
"Bob Livingston"	0.0936969
"Ivan Kostov"	0.0904353
"Dore Gold"	0.0891845
"Alexander Shokhin"	0.0884634
"Nur Misuari"	0.0870129
"Secretary General Esmat Abdul-Meguid"	0.0861197
"Dennis Ross"	0.0852274
R-La.	0.0833134
"D-Los Angeles"	0.0776244
"Chea Sim"	0.077194
"Salim Hoss"	0.0765923
"Richard Holbrooke"	0.0739263
"Richie Phillips"	0.0725399
Berri	0.0715312
minister-elect	0.0711971
R-Miss.	0.0701343
Seleznyov	0.0699335
"Leon Brittan"	0.0695674
"Jaswant Singh"	0.0689598
"Illinois Republican"	0.0689082
"Carl Bildt"	0.068665
"Hanan Ashrawi"	0.0684644
"Viktor Chernomyrdin"	0.0681338
"Carlos Westendorp"	0.06725
Stoyanov	0.0666456
"Radu Vasile"	0.0657057
"Frederick Sumaye"	0.0645098
"Wlodzimierz Cimoszewicz"	0.0642068
Ashrawi	0.0638676
Abdel-Meguid	0.0638181
"Anatoly Chubais"	0.0635711
"Valery Pustovoitenko"	0.0632057
Sher	0.0618714
"Yossi Beilin"	0.0617346
"Goran Persson"	0.0611961
Meguid	0.06087
"Adem Demaci"	0.0608235
"Cyril Ramaphosa"	0.0603991
"Boris Nemtsov"	0.060116
Duisenberg	0.0594123
Hrawi	0.059028
"Mikhail Kasyanov"	0.058837
"Archbishop Desmond Tutu"	0.0579304
R-Ill.	0.0577127
"Jack Valenti"	0.0576109
Talbott	0.056923
D-Del.	0.0568381
"Georgia Republican"	0.056005
"Mikulas Dzurinda"	0.0558431
Majko	0.0547511
McGuinness	0.0544143
"Billy Hunter"	0.0542931
Nickerson	0.0542716
"Chief Executive Tung Chee-hwa"	0.0540353
Eran	0.0539011
Insulza	0.053822
Kuhn	0.0535382
Ahtisaari	0.0531192
"Abdul Salam Majali"	0.0529408
Sato	0.0527528
"Wolfgang Petritsch"	0.0526053
al-Hariri	0.0525532
Ruehe	0.0525263
"Rick Perry"	0.0524578
Rodionov	0.0518885
"Lionel Jospin"	0.0518211
Koehler	0.0517414
Muoi	0.0514758
Solana	0.0512836
Bildt	0.0510745
Kasoulides	0.0507752
"Mike Leavitt"	0.0507115
R-Ga.	0.0506817
"George Mitchell"	0.0506145
Rossotti	0.050442
al-Sharaa	0.0504317
Alarcon	0.0502659
Turabi	0.0497998
"National Security Adviser Sandy Berger"	0.0497346
Wenger	0.049717
Bizimungu	0.0496622
"Strobe Talbott"	0.0495069
"Dick Armey"	0.0494625
"Louise Arbour"	0.0490451
Ahmad	0.0489254
"Jean Chretien"	0.0488448
Pangalos	0.0485221
Ponte	0.0484744
Majali	0.0484372
"Meles Zenawi"	0.0483758
Shareh	0.0482164
"Supreme Soviet"	0.0480931
Lowery	0.048009
"Girija Prasad Koirala"	0.0479413
"de Charette"	0.0479124
"Thomas Pickering"	0.0477168
"Bruce Babbitt"	0.0476866
Pearce	0.0476721
Pickering	0.0476684
Zadornov	0.0475584
"Mesut Yilmaz"	0.0474948
"Paavo Lipponen"	0.0474657
Gusmao	0.0474312
stone-throwers	0.0474245
Almeida	0.0473048
"Robert E. Rubin"	0.047053
Plavsic	0.0469755
Sarid	0.0467045
"Fatos Nano"	0.0466426
"David Bar-Illan"	0.04663
"Chen Muhua"	0.0466142
"Gennady Zyuganov"	0.0464723
"Michael Portillo"	0.0464707
Grasso	0.0464141
Ikimi	0.0463984
"Jerzy Buzek"	0.046384
Wiranto	0.0462558
Aventajado	0.0462373
al-Khatib	0.0462038
Bouteflika	0.0461117
"form letter"	0.045876
"Great Hural"	0.0457779
"Minister Shlomo Ben-Ami"	0.0457268
"Gerry Adams"	0.0454606
"Bertie Ahern"	0.0454521
Baz	0.0453814
Tsang	0.045364
"Billy Payne"	0.045351
"Bill Thomas"	0.0451191
Broek	0.0450914
"Hashim Thaci"	0.045058
Barshefsky	0.0448619
Yazdi	0.0447089
Advani	0.0444893
Deuba	0.0444603
Kwasniewski	0.0444208
Ota	0.0441823
borer	0.0441027
Kuchma	0.0440672
Klima	0.0440213
"Trent Lott"	0.0439414
Luong	0.0437942
"Faisal Husseini"	0.0435799
Denktash	0.0435792
D-Mo.	0.0435697
"Atef Obeid"	0.043553
Wilhelm	0.0434676
Bowles	0.0433842
"Tariq Aziz"	0.0432933
Mkapa	0.0432928
Aziz	0.0431805
"David Trimble"	0.0430842
"David Smith"	0.0430313
"Palestinian Council"	0.0429835
Camdessus	0.0427995
"Consultative Assembly"	0.0427505
Khalid	0.0427108
McCombs	0.0426812
Mukora	0.042649
Jayakumar	0.0426066
"financial officer"	0.0424692
Bruton	0.0424312
"Costas Simitis"	0.0424092
Klestil	0.0422375
Rifkind	0.0422266
"Azizah Ismail"	0.042173
Simitis	0.0421043
Ivanov	0.0420298
al-Sahhaf	0.041977
))
("Ahmed Ressam" (desc 1958.24) (sims
Ressam	0.216861
Meskini	0.145283
"Martin Frankel"	0.128996
"Rafael Resendez-Ramirez"	0.11866
Ntuyahaga	0.109243
Kopp	0.104766
"El Hage"	0.104364
Elhage	0.10377
Kalejs	0.101468
"Bin Laden"	0.101432
Soliah	0.0993779
Blackthorne	0.0982517
"Wen Ho Lee"	0.0973961
Stayner	0.0961073
Carlos	0.0952319
Merlino	0.0942986
"Shawn Allen Berry"	0.092428
"Maturino Resendiz"	0.09197
Garofalo	0.0887522
"Iranian Jews"	0.0873358
"Russell Henderson"	0.085924
"Shawn Berry"	0.0852807
"Theodore Kaczynski"	0.0849308
"Dinko Sakic"	0.0815897
Ghani	0.0790779
Algerian	0.0790189
Karr	0.0784595
Karadzic	0.0757172
"Edwin Edwards"	0.0752986
"Angel Maturino Resendiz"	0.0747554
"Ta Mok"	0.0741326
Kaczynski	0.0741315
Mohamed	0.0728996
Dutchmen	0.0728719
furrow	0.0724416
Natale	0.0721149
Barrionuevo	0.0720971
"Abdullah Ocalan"	0.0718554
"Khun Sa"	0.0717637
Carruth	0.0702345
"intelligence agent"	0.0701471
illegals	0.069991
Priebke	0.0692086
Faget	0.0689297
stone-throwers	0.0683471
Resendez-Ramirez	0.0682413
Akayesu	0.068213
"Radovan Karadzic"	0.0681821
"war criminal"	0.0680721
Gusinsky	0.067853
"Ratko Mladic"	0.0676642
Sweeting	0.0670868
"second person"	0.0666654
Gravano	0.06652
Kazhegeldin	0.0654075
Lundy	0.0650771
al-Megrahi	0.0643007
Papon	0.0641708
LeBlanc	0.0641429
"Jonas Savimbi"	0.0640444
Gauthe	0.0639782
Kimeses	0.0637365
"Mike Espy"	0.0635603
Salemme	0.0631959
"Richard Jewell"	0.062892
"Tom Welch"	0.0627993
"John William King"	0.0627867
Giacchetto	0.0626816
Neulander	0.0626386
Baumhammers	0.0621918
Tanaka	0.0621705
"Julie Hiatt Steele"	0.0620574
"Bosnian Serb"	0.0619867
Padilla	0.0619413
Nikitin	0.0616085
looper	0.0614181
"Harry Wu"	0.0612209
Shayler	0.0611749
"drug lord"	0.0611634
"George Speight"	0.061098
"Aaron McKinney"	0.0608464
Battie	0.0605615
Montiel	0.0605557
chun	0.0605432
"Raul Salinas"	0.0604957
"Maturino Resendez"	0.0601706
"Kurdish Workers Party"	0.0595874
"Cuban Americans"	0.0595779
"Momcilo Krajisnik"	0.059512
"Cary Stayner"	0.0593793
Mitnick	0.0592236
Yates	0.0587144
Coolio	0.0586182
Hijacker	0.0585366
burglar	0.0584274
Francois	0.0583396
Hage	0.0581924
perpetrator	0.0576112
Al-Amin	0.0574335
Mladic	0.0571804
Odeh	0.0570736
Mikhailov	0.0568561
Brownlee	0.0568078
Cavallo	0.0564509
Salim	0.056379
"two @@-year-olds"	0.0559816
Ahmed	0.0558986
"Timothy McVeigh"	0.0558971
"foster mother"	0.0556958
"one hundred"	0.055609
Reyes	0.0554246
Frankel	0.0552849
Dokmanovic	0.0552454
Biskind	0.055241
Haney	0.0551535
"Yigal Amir"	0.054869
"Foday Sankoh"	0.0548572
Shipman	0.054797
Schreiber	0.0545926
Jelisic	0.0545548
Sebaggala	0.0542097
Rudolph	0.0540521
"Ray Lewis"	0.0538546
"naval officer"	0.0535051
"Jack Kevorkian"	0.0533466
Krstic	0.0533234
"political dissident"	0.0532123
Haouari	0.0531473
"James Byrd Jr."	0.0530026
"free people"	0.0529431
Chung	0.0527323
Bove	0.0526923
infiltrator	0.0524504
Raduyev	0.0522932
"Cecil Collins"	0.0522398
Ibrahim	0.0519567
plotter	0.0516937
Laotian	0.0515815
Luciano	0.0512818
crossers	0.051065
Pirro	0.0510642
Ruelas	0.050898
fortuneteller	0.0508156
Gotti	0.0505836
McWilliams	0.0501007
Lugo	0.0500375
Mendez	0.049955
assailant	0.0497832
Winkler	0.0495124
ex-combatants	0.0494
"Patrick Dorismond"	0.0491908
Swango	0.0489176
"Russell Peeler"	0.048916
deserter	0.0488882
"Xu Wenli"	0.0487177
Valenzuela	0.0486761
"Michael Skakel"	0.0486496
Manbar	0.0485256
Villanueva	0.0484777
saboteur	0.0484764
"Carlos Salinas"	0.0482993
Ghanaians	0.0482938
McVeigh	0.0482711
Pusher	0.0481141
"Vladimiro Montesinos"	0.0480703
"Bruno Megret"	0.0480003
Karbaschi	0.0479317
snakehead	0.0477886
"warm front"	0.0475859
"John Kim"	0.0473203
Roh	0.0472806
Gannon	0.0472425
Trie	0.0469799
imperialist	0.0469754
Rao	0.0468127
Noriega	0.0467592
Bowe	0.0467534
Shinn	0.0467108
Kiareldeen	0.0465622
Howell	0.0463524
"Christian Bale"	0.0462675
Rocha	0.0462041
Trischitta	0.0462026
"Osama Bin Laden"	0.0460928
Levesque	0.0460235
Cheung	0.0459573
"Thomas Youk"	0.0459339
Guzman	0.0458687
Alfonso	0.0457763
"other five"	0.0457636
"maintenance man"	0.0457598
Combs	0.0457554
Musa	0.0457215
"enlisted man"	0.0457152
"Abu Nidal"	0.0453671
"Rae Carruth"	0.0453266
"pedestrian bridge"	0.045097
Sells	0.0450725
Boone	0.0448954
Einhorn	0.0448905
))
("Ahmed Tibi" (desc 1639.21) (sims
"David Bar-Illan"	0.473955
"Shelly Finkel"	0.325552
el-Baz	0.310111
al-Baz	0.300706
"Danny Yatom"	0.29332
"Bruce Teitelbaum"	0.273737
"Dore Gold"	0.265182
Baz	0.253179
"Gene Sperling"	0.249987
"Sergei Yastrzhembsky"	0.224909
"John Weaver"	0.221315
"Rahm Emanuel"	0.218969
"Harold Ickes"	0.218514
"Karen Hughes"	0.212072
"Condoleezza Rice"	0.211856
"Daim Zainuddin"	0.209879
"Samuel Berger"	0.203165
"Paul Begala"	0.192169
"Sandy Berger"	0.19157
"George Stephanopoulos"	0.190711
"Yitzhak Molcho"	0.190339
"Karl Rove"	0.188993
"Bob Shrum"	0.182377
"Mark McKinnon"	0.173093
"Mike Murphy"	0.168394
"Joe Lockhart"	0.167986
"Dick Morris"	0.157213
"Carter Eskew"	0.155492
"Haim Ramon"	0.154903
"Nabil Shaath"	0.153006
"Faisal Husseini"	0.152975
"Sidney Blumenthal"	0.151911
"Zbigniew Brzezinski"	0.148782
"Bruce Lindsey"	0.144622
"Ken Johnson"	0.144592
"Robert Aventajado"	0.144108
"Adem Demaci"	0.144055
"James Carville"	0.143158
"Anatoly Chubais"	0.139869
Yastrzhembsky	0.137954
Demaci	0.132595
"Salim Saleh"	0.129032
"Yossi Beilin"	0.128392
"Azem Hajdari"	0.125118
"Bobby Brown"	0.12408
"Vladimiro Montesinos"	0.12398
"Barry R. McCaffrey"	0.123605
"John Koskinen"	0.119902
"Dan Schnur"	0.119804
"David Jones"	0.118861
"Fehmi Agani"	0.113997
"Mike McCurry"	0.109394
"Grigory Yavlinsky"	0.109156
Strauss-Kahn	0.106267
"Anthony Lake"	0.105536
"Barry McCaffrey"	0.105325
Kasoulides	0.103064
Wenger	0.100362
Ashrawi	0.0985169
"Brent Scowcroft"	0.098228
"Hanan Ashrawi"	0.0977617
Rodionov	0.0958934
Guterres	0.0956665
Gosper	0.0954368
Bizimungu	0.0938573
"Callista Bisek"	0.093641
"Saeb Erekat"	0.0932405
Saleh	0.0928367
"Mary Matalin"	0.0914465
Barbour	0.0907538
"Ralph Reed"	0.0906248
Naumann	0.0905926
Bulatovic	0.0903999
"Galina Starovoitova"	0.0903839
Shaath	0.0902673
"Alexander Lebed"	0.0900093
"Qiao Shi"	0.0888791
"Jaswant Singh"	0.0885268
Blumenthal	0.0881759
Rudman	0.0877749
"Saeed Hajjarian"	0.0876945
"Martin Lee"	0.0864441
Yazdi	0.0864401
Alarcon	0.0850142
Ikimi	0.0829485
"David Johnson"	0.0824566
"Mahmoud Abbas"	0.0823744
McGuinness	0.081898
"Yuri Maslyukov"	0.0813877
"Yossi Sarid"	0.0812598
"Alexander Shokhin"	0.0811801
Sumaye	0.0809335
Berri	0.0805632
Nemtsov	0.0805288
Jovanovic	0.0797851
Lehane	0.0787942
"de Charette"	0.0787505
Bruton	0.0784757
Eizenstat	0.0783008
Mandelson	0.0782166
Beazley	0.0779603
"Li Ruihuan"	0.0771484
"Gary Bauer"	0.0763654
"Boris Nemtsov"	0.0763322
Kabariti	0.0756477
Husseini	0.074824
Fernandes	0.0743305
Moratinos	0.0742359
Alatas	0.0741058
"Erskine Bowles"	0.0739634
Ebersol	0.0739229
Erekat	0.0739123
Caddell	0.0735966
Jayakumar	0.0735745
"Bill Skate"	0.0732436
Maslyukov	0.0732399
Bauer	0.0730456
Sato	0.0730434
Malu	0.0728393
Boueiz	0.0728065
Cui	0.0726127
Zeng	0.0717752
Wolfson	0.0717639
Schaeuble	0.0715979
"Abu Ala"	0.0711998
Antara	0.0711216
Tarrin	0.0710934
"Ricardo Alarcon"	0.070905
Aguirre	0.0706137
Vance	0.0703457
Neeman	0.0700363
LaPierre	0.0696414
Mukora	0.0694503
"Ramsey Clark"	0.0693039
Napolitano	0.0692633
Azizah	0.0691869
Scharping	0.0689323
Aventajado	0.0687683
Kavan	0.0687324
Wilhelm	0.0685823
Aleman	0.068451
Seleznyov	0.0684147
"Le Kha Phieu"	0.0679455
Vialli	0.0675585
"Kenyan Government"	0.06746
Hamdoon	0.0674313
"De Soto"	0.0673344
Zuma	0.0671186
Pangalos	0.0671009
Troussier	0.0670286
Insulza	0.0669541
Pustovoitenko	0.0669441
"Abu Mazen"	0.0668836
"Bashkim Fino"	0.0667867
Ruehe	0.0667741
Lari	0.066673
Prewitt	0.0665484
"Li Peng"	0.0665191
Markovic	0.0664432
Abdel-Meguid	0.066408
"Eisuke Sakakibara"	0.0661555
Moussa	0.0661512
Lockhart	0.0658535
"Dennis Ross"	0.0658425
Talebi	0.0655638
"Jim Jones"	0.0654992
"Marc Hodler"	0.0653781
McCurry	0.0653562
"Tariq Aziz"	0.0650792
Nasrallah	0.0649294
Xiang	0.0647517
Singson	0.0644049
"Vladimir Zhirinovsky"	0.0642305
"Jim Turner"	0.0640862
Meguid	0.0639879
Gurirab	0.0638973
DeFrantz	0.0638923
Manley	0.0637912
Bakaly	0.0637051
Juma	0.0636537
al-Sahaf	0.0636013
Shalala	0.0635913
Berger	0.0634321
Kyl	0.063431
Severino	0.0629105
Basayev	0.0628687
"Tian Jiyun"	0.06274
Allchin	0.0627319
Sharansky	0.0624557
Scalfaro	0.0623801
Chevenement	0.0622211
Sha	0.0622091
"Wei Jianxing"	0.0622035
"Larry Craig"	0.0621818
"Mike Jones"	0.0621801
"Pauline Hanson"	0.0621354
Zhirinovsky	0.0621094
"Vernon Jordan"	0.0619776
Luzhkov	0.0618923
Guei	0.0618222
))
(Ahold (desc 1701.89) (sims
Asda	0.134737
"National Grid"	0.118473
Aegon	0.112344
UAM	0.108055
VENATOR	0.107336
DoCoMo	0.101948
McCaw	0.101086
SFX	0.10058
Starwood	0.100572
Heard	0.0988047
Tandy	0.0981558
Cadbury	0.0970463
Federated	0.0958496
ENTERGY	0.0954409
JAL	0.0953082
Scripps	0.0945445
Caldor	0.0941299
IAI	0.0920245
TYCO	0.0912944
AOC	0.0911799
McKesson	0.0884096
SBC	0.0880807
RJR	0.0867717
Loewen	0.0860501
NORTHROP	0.0860428
Mervyn	0.0853134
Goodrich	0.0847894
PictureTel	0.0841855
Gilead	0.083682
Penney	0.08275
AMR	0.0822568
AutoNation	0.0822148
Corning	0.0813556
Litton	0.0798544
ING	0.0798488
Bertelsmann	0.0797255
Deutsche	0.0796851
Eurotunnel	0.0795183
Icahn	0.0791965
"Hearst Corp."	0.0791922
Alltel	0.0791474
"KCP&AMP;L"	0.079109
Occidental	0.0783716
Daimler	0.0782888
"Berkshire Hathaway"	0.0781255
Primedia	0.0779495
Woolworth	0.077901
"Food Lion"	0.0778185
"Y&AMP;R"	0.0774575
"Southern Co."	0.077335
Inktomi	0.0768411
CMGI	0.0767728
Asa	0.0765391
TELLABS	0.0760064
EMC	0.075665
Nortel	0.075316
"Gap Inc."	0.0752286
AIG	0.0748642
EA	0.0747628
GANNETT	0.0745743
Cablevision	0.0744143
CMG	0.0729142
ABSA	0.072754
Vulcan	0.0727438
FPL	0.0727149
NatWest	0.0726241
Vodafone	0.0723605
Corel	0.0718295
"Norfolk Southern"	0.071777
"British Petroleum"	0.0717258
Norwest	0.0715747
"Tribune Co."	0.0715519
Kroger	0.0711781
Gymboree	0.0710957
Carrefour	0.0710072
MetLife	0.0708067
Terra	0.0702889
"P&AMP;G"	0.0696826
Ba	0.069451
GPU	0.0692329
Belo	0.0689616
"Computer Associates"	0.0688269
Cisco	0.068648
Ikea	0.068509
Vivendi	0.068454
WELLPOINT	0.0679518
AXA	0.0679177
"Pacific Century"	0.0677231
"BP Amoco"	0.0677141
BASF	0.067001
"Northern Telecom"	0.0669413
"Cox Communications"	0.066888
"Dayton Hudson"	0.0665159
"British Telecom"	0.0664839
gob	0.066214
Kodak	0.0661751
"Sharper Image"	0.0659184
Cargill	0.065817
"Washington Mutual"	0.0658105
Konka	0.0657952
SingTel	0.0657357
WPP	0.0654515
SCI	0.0653815
Hasbro	0.0652458
"True North"	0.065152
CITIC	0.0651198
Seagate	0.0649025
Costco	0.064854
Unilever	0.0648244
Airtouch	0.0644785
Sepracor	0.0638529
"Barnes &AMP; Noble"	0.0637924
Roberds	0.0637734
Albertson's	0.0637339
BellSouth	0.0636616
"Cable &AMP; Wireless"	0.0635818
Raytheon	0.0635205
Mondavi	0.0633909
Stronach	0.0633786
Villalonga	0.0633205
Getty	0.062911
Humana	0.0625656
"GE Capital"	0.0624189
Cp	0.0623911
"Rite Aid"	0.0621209
"Nippon Credit"	0.0619788
Modell	0.0618045
Arnault	0.0616525
Conseco	0.0614682
Softbank	0.061393
"Circuit City"	0.0613613
Ti	0.061287
Mannesmann	0.0612691
BP	0.0612082
Datek	0.061135
Ciena	0.0610848
"more than three-fourths"	0.0610682
Seagram	0.0609987
Bestfoods	0.0607466
XYLAN	0.0606977
"Air Lanka"	0.0606601
Pepsico	0.0605636
"Housing Authority"	0.060562
"News Corp."	0.0605375
Walgreens	0.060382
Delphi	0.060289
"Bell Atlantic"	0.0602115
"China Airlines"	0.0601519
Genzyme	0.0599471
Publicis	0.0597456
Adelphia	0.0596181
Merrill	0.0595314
NTL	0.059467
"MCI Worldcom Inc."	0.0594656
twenty-six	0.0593504
DFG	0.0593368
Viacom	0.0592468
"Con Ed"	0.0592307
BCE	0.0591574
"good part"	0.0590081
Weyerhaeuser	0.0589811
Pearson	0.0587137
Xerox	0.0586784
Nikko	0.0584836
UTC	0.0584232
Bae	0.058309
Lycos	0.0581422
"Times Mirror"	0.0579601
IDT	0.0578497
Sutter	0.0576898
Scientific-Atlanta	0.0576403
FSA	0.0575912
Kinko	0.0575409
Telekom	0.0575389
SSB	0.0574442
ALZA	0.0573779
Providian	0.0569564
Zapata	0.056855
YPF	0.0568466
TDC	0.0568415
"Deutsche Bank"	0.056814
NCR	0.0567723
"First Union"	0.0567124
"Bank of Scotland"	0.0566979
"Fred Meyer"	0.0563759
Healtheon	0.0563053
Akamai	0.0562453
twenty-eight	0.0562442
ExciteAtHome	0.0562237
HBOC	0.0561528
AMC	0.0561306
TALBOT	0.0561242
Webvan	0.0560829
"Phelps Dodge"	0.0560706
AlliedSignal	0.0559522
"Nissan Motor"	0.0559382
"WorldCom Inc."	0.0558249
MCI	0.0557866
Aetna	0.0557221
Marketspan	0.0557033
))
(AHP (desc 769.839) (sims
"J&AMP;J"	0.211026
"American Home"	0.199993
ADM	0.167102
Genzyme	0.163595
Starwood	0.159836
Sepracor	0.158864
RJR	0.156735
Amgen	0.156044
Cabletron	0.152055
McKesson	0.149918
Schering	0.149117
Wyeth-Ayerst	0.148474
IAI	0.148096
Genentech	0.14667
Lucasfilm	0.144915
MiniMed	0.143563
"W.R. Grace"	0.137946
Lilly	0.137107
Biogen	0.136983
Scientific-Atlanta	0.136165
TYCO	0.134899
GPU	0.134605
"British Foreign Office"	0.134458
"Union Carbide"	0.133601
Railtrack	0.133571
Pairgain	0.13264
Humana	0.132629
Roche	0.132548
"Publishers Clearing House"	0.132044
"American Home Products"	0.130838
IDT	0.129777
Warner-Lambert	0.129731
UAL	0.129727
COLTEC	0.129152
Georgia-Pacific	0.128862
Hewlett	0.128411
Astra	0.12686
Odwalla	0.126409
"Thermo Electron"	0.126223
MetLife	0.125333
Bristol-Myers	0.125187
Emulex	0.12465
UTC	0.124556
"Boston Scientific"	0.124326
Chiron	0.123014
Providian	0.122363
Litton	0.121356
Goodrich	0.121227
PEOPLESOFT	0.119638
Broadcom	0.118509
"Waste Management"	0.117231
Incyte	0.116906
"Dow Corning"	0.116568
SmithKline	0.11593
Allstate	0.115808
Bridgestone	0.114992
"P&AMP;G"	0.114765
Ciena	0.114238
NORTHROP	0.113388
"Dow Chemical"	0.113053
AlliedSignal	0.111876
"Computer Associates"	0.111846
Loewen	0.111655
Aetna	0.111219
JAL	0.110918
Clorox	0.110876
"Advanced Micro"	0.11071
Pfizer	0.110395
VENATOR	0.110124
ENTERGY	0.109822
Scripps	0.10959
"U.S. Defense Department"	0.109409
Monsanto	0.109306
Conseco	0.109227
Lockheed	0.109225
"Union Pacific"	0.10895
"Cincinnati Enquirer"	0.108473
Healtheon/WebMD	0.108081
"Royal Caribbean"	0.107818
"Sara Lee"	0.107598
Overnite	0.106966
TKT	0.106866
"Pacific Century"	0.10659
Abbott	0.106176
UBS	0.105945
"State Farm"	0.105786
SCI	0.105544
Novartis	0.105083
NiSource	0.104234
Alcan	0.103719
Daimler	0.103434
Hilton	0.10267
Healtheon	0.102625
ENTREMED	0.102283
"HBO &AMP; Co."	0.102273
DEP	0.102111
GANNETT	0.102103
Seagate	0.101872
Hasbro	0.101835
ExciteAtHome	0.101796
"PG&AMP;E"	0.101729
WELLPOINT	0.101273
Merck	0.101228
Pepsico	0.100629
IMS	0.100245
Penney	0.100197
AIG	0.100092
SGI	0.100009
"Israeli Foreign Ministry"	0.0999013
"Ask Jeeves"	0.0998549
"Con Ed"	0.0994849
Medtronic	0.0992222
TRW	0.0989305
"First Union"	0.0982696
Cendant	0.0982395
Glaxo	0.0981972
Delphi	0.09799
Terra	0.0978994
"Brown &AMP; Williamson"	0.0975832
HHS	0.0975499
McGraw-Hill	0.097494
Pitney	0.097364
ACOG	0.0972088
Zeneca	0.097147
IMG	0.0971354
Norwest	0.09708
Asarco	0.0967949
Datek	0.0965567
"US State Department"	0.0962099
Ge	0.0961835
"Credit Suisse"	0.0955942
"American Home Products Corp."	0.0955263
"Phelps Dodge"	0.0954373
XYLAN	0.0954172
Unisys	0.0943677
"R.J Reynolds"	0.0941867
WPP	0.0941242
HBOC	0.093868
Unilever	0.0937193
"Tribune Co."	0.0935634
"Coca-Cola Co."	0.0934336
Echostar	0.0933417
NU	0.0932679
Gillette	0.0931456
Comsat	0.0929506
FIBA	0.0928487
RAMBUS	0.0923776
Maytag	0.0921922
Informix	0.0921886
MLB	0.0919448
Schering-Plough	0.0918214
"U.S. Soccer Federation"	0.0918113
ATHOME	0.091754
Corning	0.0916227
REIT	0.0916177
Publicis	0.0915372
All-Tech	0.0915319
Sunbeam	0.0913825
AMR	0.0912667
Broderbund	0.0911506
Nikko	0.0911061
Avondale	0.0910769
BNFL	0.0908963
CCB	0.0906723
Lilco	0.0905823
Raytheon	0.090533
SSB	0.0904393
Amoco	0.0903684
AOC	0.0903271
CMGI	0.0901841
CFTC	0.0894546
REVLON	0.089382
"Food Lion"	0.0892003
Compaq	0.0891256
"Consolidated Edison"	0.0889783
WorldCom	0.0889065
Comcast	0.0887801
Autodesk	0.0886092
Albertson's	0.0885944
Bridgestone/Firestone	0.0882317
"Network Associates"	0.0882016
"Blue Cross"	0.0877945
Bae	0.0876905
Bayer	0.0876376
"Home Ministry"	0.0876161
Dupont	0.0874763
"Ford Motor"	0.0872061
Geron	0.087202
E-LOAN	0.0871918
"Department of Corrections"	0.0871479
ING	0.0870645
CWA	0.0870613
Inktomi	0.0868182
NHTSA	0.0867849
Webvan	0.0866791
Sumitomo	0.0865058
TELLABS	0.0864932
ICI	0.0863963
"U S West"	0.086304
SunTrust	0.086185
))
(Ahtisaari (desc 2746.25) (sims
Niyazov	0.28575
Stoyanov	0.253127
Talbott	0.230928
Pangalos	0.227403
Luong	0.226492
Ikeda	0.220514
Rifkind	0.220185
Nujoma	0.215298
Phieu	0.212352
Guterres	0.211651
Komura	0.21081
Ivanov	0.210105
"de Charette"	0.208474
Constantinescu	0.207736
Narayanan	0.203535
Cem	0.200867
Karimov	0.200737
Mkapa	0.20044
Granic	0.199391
Rakhmonov	0.194837
Camdessus	0.192306
Shareh	0.19199
Goh	0.190092
Moratinos	0.189776
Brahimi	0.18911
Nazarbayev	0.188525
Lipponen	0.186438
Gaddafi	0.185402
Velayati	0.184754
Muluzi	0.18442
Qiao	0.18243
Frei	0.180829
Dini	0.180814
Jayakumar	0.180644
Chissano	0.180487
Khaddam	0.17953
Santer	0.179412
Kok	0.179273
Wolfensohn	0.179247
Ben-Ami	0.177567
"De Soto"	0.177431
Kinkel	0.175115
Juncker	0.174848
"Than Shwe"	0.173593
Sampaio	0.17093
Herzog	0.170644
Kasoulides	0.168541
Scalfaro	0.167954
Tarawneh	0.166667
Stroyev	0.166562
Iliescu	0.166221
Vedrine	0.166079
Solana	0.165277
Pustovoitenko	0.164977
Klima	0.164087
Demirel	0.163613
Chavalit	0.163393
Klestil	0.163276
Akayev	0.16293
al-Sahhaf	0.16292
Vollebaek	0.162637
Dehaene	0.159604
Shevardnadze	0.156698
Chiluba	0.155415
"Dennis Ross"	0.154023
Gujral	0.153548
Kabariti	0.153248
Nzo	0.152446
Leghari	0.152418
Kuchma	0.151761
Sergeyev	0.151541
Boueiz	0.1515
Museveni	0.151313
Pickering	0.151212
Aznar	0.150853
Meles	0.150259
Azad	0.150084
Kharrazi	0.149995
Yandarbiyev	0.149911
Brittan	0.149406
Deuba	0.149373
Ahern	0.149009
Kostov	0.148056
Siazon	0.147663
Hrawi	0.147588
Shamshad	0.147009
Ikimi	0.146641
Menem	0.146249
Kwasniewski	0.145849
Hasina	0.145356
Diouf	0.144786
Clerides	0.144591
Aziz	0.144393
Xiong	0.143888
"Paavo Lipponen"	0.143302
Ogata	0.143172
Sahnoun	0.142485
Chubais	0.142027
"Victor Chernomyrdin"	0.141705
Vasile	0.141481
"Martti Ahtisaari"	0.141166
Kiriyenko	0.140678
Gowda	0.140065
Scharping	0.13984
"Igor Ivanov"	0.139794
Abdel-Meguid	0.139518
Sihanouk	0.139463
Banharn	0.1391
Mbeki	0.139075
"Dos Santos"	0.138048
Qian	0.137504
Jovanovic	0.137472
Zuma	0.137427
Ganzouri	0.137256
Alatas	0.136829
Chirac	0.136737
Kumaratunga	0.136536
Lukashenko	0.136312
Saleh	0.135985
Meguid	0.135654
Moussa	0.135251
Surin	0.135164
Holbrooke	0.134445
Khai	0.134268
"Jaswant Singh"	0.13352
Rabbani	0.132891
Zeroual	0.132702
Hariri	0.131376
"Jordanian King Abdullah Bin Hussein"	0.131025
Ruehe	0.13087
"Prime Minister Banharn Silpa-Archa"	0.130709
Indyk	0.130673
Azizah	0.130526
Koo	0.130353
"King Abdullah II"	0.129534
Chretien	0.1292
Tsang	0.129142
Bouteflika	0.128692
Koehler	0.127938
Tung	0.127702
Rodionov	0.127332
Primakov	0.126981
Ecevit	0.126708
Schuessel	0.126561
"Maung Aye"	0.126498
Aliyev	0.12648
Axworthy	0.126335
Fu	0.125475
"Vo Van Kiet"	0.124722
Bedie	0.124662
"Valery Pustovoitenko"	0.124608
Persson	0.124288
Weizman	0.124145
Bolger	0.123969
Chuan	0.123943
Insulza	0.123629
Shipley	0.123606
Conte	0.123464
Muoi	0.123201
Holl	0.122852
Simitis	0.122626
Husseini	0.122155
Chernomyrdin	0.121871
"Kim Yong Nam"	0.121707
Hu	0.121545
al-Hariri	0.121506
Mubarak	0.120735
Grachev	0.120624
Sumaye	0.120495
Albright	0.120455
Wahid	0.120066
Zeng	0.119843
Annan	0.119642
Zou	0.119075
Kono	0.118998
Lahoud	0.118981
Kissinger	0.11892
"Jose Maria Aznar"	0.118399
Orban	0.118301
"Li Peng"	0.118207
Lebed	0.118145
"William Perry"	0.11787
Majali	0.117808
wen	0.117646
Daley	0.117481
Tian	0.117294
"Secretary General Esmat Abdel-Meguid"	0.117203
Kabbah	0.117082
al-Khatib	0.117004
Barshefsky	0.116782
al-Sharaa	0.116548
Samper	0.116502
el-Ganzouri	0.11647
Mordechai	0.116447
Zhu	0.116147
Singh	0.115796
"Ismail Cem"	0.115695
Chi	0.115647
Garang	0.115452
Sanguinetti	0.115219
"Richard Holbrooke"	0.115047
"Atef Obeid"	0.115012
Brundtland	0.114354
Shaath	0.114118
"Inder Kumar Gujral"	0.114095
"Kamal Kharrazi"	0.113864
Bildt	0.113682
"Wim Kok"	0.113558
"Krishna Prasad Bhattarai"	0.113392
"Robert Gelbard"	0.113275
Milutinovic	0.113254
"Javier Solana"	0.112989
Buzek	0.112923
Hashimoto	0.112787
Bizimungu	0.112707
Fino	0.112213
"Bertie Ahern"	0.112048
"Ivan Kostov"	0.112009
"Jerzy Buzek"	0.111774
Stepashin	0.111651
"Secretary General Esmat Abdul-Meguid"	0.111326
Jospin	0.111128
Kagame	0.110724
"William Cohen"	0.110628
LeBlanc	0.110293
Papandreou	0.110247
Erbakan	0.110041
"Viktor Chernomyrdin"	0.109941
Abubakar	0.10978
al-Sahaf	0.109743
"Binyamin Netanyahu"	0.109313
"Yoshiro Mori"	0.109249
"Antonio Guterres"	0.10911
Beye	0.109032
Barzani	0.10887
"Costas Simitis"	0.108836
"Chavalit Yongchaiyudh"	0.108639
Luo	0.108556
Abdullah	0.108509
Seleznyov	0.108461
Prodi	0.108304
"Richard C. Holbrooke"	0.107952
Ghali	0.107766
"Yuri Maslyukov"	0.107351
"Goh Chok Tong"	0.107284
Christopher	0.107114
Iglesias	0.106417
Bellamy	0.106358
Ekeus	0.106314
Musharraf	0.106256
pontiff	0.106202
"Saeb Erekat"	0.106166
Nyerere	0.106015
Juppe	0.105943
"Defense William Cohen"	0.105555
Zeman	0.105402
Mandela	0.105187
"Zhu Rongji"	0.104908
"King Juan Carlos"	0.104813
Prueher	0.104756
"Jordanian King Hussein"	0.104744
Masire	0.104676
Kyprianou	0.104668
"Mesut Yilmaz"	0.104657
Blair	0.104619
Xanana	0.104387
Malan	0.104237
Ciampi	0.104201
Bashir	0.104195
D'Alema	0.10359
Peres	0.103474
al-Bashir	0.10336
Hamad	0.103346
Fischer	0.103298
Wei	0.103169
Broek	0.103061
Eizenstat	0.102987
"Phan Van Khai"	0.10284
"Pope John Paul"	0.102823
"deputy foreign minister"	0.102757
"Jean Chretien"	0.102522
Li	0.102122
"King Sihanouk"	0.102064
"Lakhdar Brahimi"	0.101927
Portillo	0.101916
"Atal Behari Vajpayee"	0.101864
"Strobe Talbott"	0.101749
"Lee Hsien Loong"	0.101734
"Goran Persson"	0.10168
"Abu Mazen"	0.101655
Buyoya	0.101545
Beilin	0.101436
"Meles Zenawi"	0.101333
Yeltsin	0.101155
"Rafik Hariri"	0.100993
Bruton	0.100648
Yilmaz	0.100394
"National Security Adviser Sandy Berger"	0.100311
Vajpayee	0.1003
Downer	0.100237
Wu	0.100226
"William S. Cohen"	0.100084
))
(ai (desc 1526.57) (sims
"British Foreign Office"	0.0874763
Koh	0.0812363
Bruton	0.0761707
Chai	0.0736445
TDB	0.0725237
Pu	0.0715568
MSF	0.0685643
Juma	0.0681399
GSS	0.0658331
AU	0.0648334
Sumaye	0.0644717
EOHR	0.0638346
Ashrawi	0.0634159
Ailey	0.0630732
SDPC	0.061509
Abdel-Meguid	0.0611454
"U.S. Treasury Department"	0.0608765
Stepinac	0.0599488
NCEC	0.0597473
Kremer	0.0593847
PBOC	0.0589942
"Turkish Foreign Ministry"	0.0589737
SSB	0.0585346
CAA	0.0581529
Kulikov	0.0578911
INEC	0.0574285
Rudman	0.0573218
"De Klerk"	0.0568462
"Lee Hsien Loong"	0.056346
"Health and Welfare Ministry"	0.0562549
Wolfson	0.0557064
BIA	0.0555983
Meguid	0.0555903
"Health Department"	0.0549168
"Iranian Foreign Ministry"	0.0546113
WIPO	0.0539531
Aliev	0.0536798
Eappens	0.0534029
"Kenyan Government"	0.053239
"Russian Foreign Ministry"	0.0532158
Husseini	0.0531989
"U.S. Soccer Federation"	0.0526835
Halloran	0.0523347
"Yomiuri Shimbun"	0.0523083
Edberg	0.0522629
Velayati	0.0520577
Jana	0.0519392
"Secretary General Esmat Abdul-Meguid"	0.0518532
Tsvangirai	0.0516164
Ita	0.0515305
"Pan Africanist Congress"	0.0514834
Richey	0.0514623
"U.S. Administration"	0.0509821
Kyprianou	0.0508288
WEF	0.0503932
IEA	0.0501671
"Commerce Ministry"	0.0500576
Soares	0.0500173
NiSource	0.0498665
Scripps	0.049269
Boueiz	0.0491649
"U.S. State Department"	0.0490511
Brittan	0.0489471
"Amnesty International"	0.048734
ILO	0.0485137
Greenpeace	0.0483452
Jayakumar	0.0483297
Kasoulides	0.0482874
Hsu	0.0481478
"French Foreign Ministry"	0.0481144
Seselj	0.0479658
Malu	0.0479197
Ikimi	0.0479195
"John Bruton"	0.0478873
Susanti	0.0478624
Sugiyama	0.047851
Suarez	0.0478014
"Greek Orthodox Church"	0.047586
"Abu Nidal"	0.0474472
"Human Rights Watch"	0.0472623
Raoux	0.0472361
Taleban	0.0471969
Milo	0.0470971
ICRC	0.0470421
NIH	0.0469297
BEA	0.0469144
"Secretary General Esmat Abdel-Meguid"	0.046682
Echegaray	0.0465599
SEPA	0.0464634
Woodruff	0.0462365
Dosedel	0.0460885
CSE	0.0460282
COSATU	0.045992
Wada	0.0459862
Khamenei	0.0457449
Hongyuan	0.0455161
Havelange	0.0454339
Colburn	0.0450542
"Angolan Government"	0.0450203
Mahdi	0.0449055
MMD	0.0448131
"Bank of Israel"	0.0447826
Aurelio	0.0446806
Jonsson	0.0446246
Zou	0.0445664
mem	0.0445286
Starovoitova	0.0445084
"Israeli Foreign Ministry"	0.0444063
Tarango	0.0443197
TR	0.0443127
Asa	0.0442895
FEMA	0.0442622
"British government"	0.0442253
"Nuclear Regulatory Commission"	0.044169
UUP	0.0441687
BLM	0.0441386
"Washington Mutual"	0.0441141
IFP	0.0440696
Nateq-Nouri	0.0440541
"Bill Skate"	0.0439719
"Speaker Ali Akbar Nateq-Nouri"	0.0439401
Arens	0.0439018
DFB	0.043901
Olga	0.0436895
UNP	0.0436053
"Kremlin Cup"	0.0435859
Stolle	0.0434721
"Philippine Central Bank"	0.0434176
CMA	0.0433658
Nana	0.0433221
Kimbell	0.0432686
NLD	0.0431542
"Boutros Boutros Ghali"	0.042992
Dias	0.0429057
AFA	0.0428808
"Arab League"	0.0428187
Empoli	0.0428138
Kerasiotes	0.0427372
Preval	0.0426255
Mustafa	0.0425812
HKTA	0.0425142
ACLU	0.0425027
FIS	0.0424061
JPL	0.0423575
Dodik	0.0423352
Ikeda	0.04232
Guernsey	0.0423014
Szabo	0.0422267
Daiei	0.0422135
HHS	0.042171
Schalken	0.0419895
"Richie Phillips"	0.0419738
Ni	0.041892
"Department of Corrections"	0.0418597
Piot	0.0418489
OECD	0.0418423
SFC	0.0418255
CBO	0.0418226
Pangalos	0.0417955
Erekat	0.0417199
TDC	0.0416372
NLRB	0.0416192
al-Sahaf	0.0415991
"Ethics Commission"	0.0415058
PNP	0.0414793
AOC	0.0413368
"Jenny Jones Show"	0.0413324
Wilander	0.0412618
Garcetti	0.0411621
Angara	0.0411357
MFA	0.0411243
Marlene	0.0411041
SFA	0.0410568
Koirala	0.0410509
Damm	0.0409898
SETC	0.0409872
PA	0.0409632
ECA	0.0408955
Sidot	0.0408675
Nujoma	0.0407497
"Tim Fischer"	0.0407428
Nebiolo	0.0407214
"Clinton Administration"	0.0407188
"U.S. Defense Department"	0.0406896
Bridgestone/Firestone	0.0406275
MQM	0.0406103
Alarcon	0.0406101
"Ministry of Trade and Industry"	0.0405414
"Health and Human Services Department"	0.0405366
UNIDO	0.0405178
Schett	0.0404
Yomiuri	0.0403715
Tauziat	0.0403063
"Cindy McCain"	0.0402787
Yazdi	0.0402402
Espinosa	0.0401541
Doggett	0.0401449
Modise	0.0400458
))
("Ai Sugiyama" (desc 5077.85) (sims
"Naoko Sawamatsu"	0.36166
"Patty Schnyder"	0.352859
"Dominique Van Roost"	0.34376
"Tamarine Tanasugarn"	0.337696
"Sandrine Testud"	0.335787
"Kimiko Date"	0.33293
"Nathalie Dechy"	0.331749
"Elena Likhovtseva"	0.323716
"Natasha Zvereva"	0.322686
"Amanda Coetzer"	0.321163
"Anke Huber"	0.318834
"Irina Spirlea"	0.312826
"Amelie Mauresmo"	0.309789
"Silvia Farina"	0.308973
"Nathalie Tauziat"	0.30771
"Magdalena Maleeva"	0.307542
"Richard Fromberg"	0.305245
"Magui Serna"	0.301665
"Lisa Raymond"	0.298563
"Barbara Schett"	0.297655
"Francisco Clavet"	0.296572
"Ruxandra Dragomir"	0.296337
"Mary Pierce"	0.295472
"Chanda Rubin"	0.293425
"Mariano Puerta"	0.292107
"Albert Portas"	0.291811
"Iva Majoli"	0.291319
"Hernan Gumy"	0.289867
"Sargis Sargsian"	0.286724
"Kenneth Carlsen"	0.285205
"Anne-Gaelle Sidot"	0.284547
"Sabine Appelmans"	0.284271
"Byron Black"	0.281915
"Conchita Martinez"	0.281582
"Judith Wiesner"	0.281471
"Adrian Voinea"	0.280864
"Leander Paes"	0.280436
"Guillaume Raoux"	0.280097
"Anne Kremer"	0.279643
"Andrea Gaudenzi"	0.279556
"Rainer Schuttler"	0.275618
"Magnus Norman"	0.274255
"Fernando Meligeni"	0.272674
"Sarah Pitkowski"	0.27137
"Julie Halard-Decugis"	0.271016
"Thomas Enqvist"	0.270638
"Yayuk Basuki"	0.269732
"Alberto Berasategui"	0.269524
"Felix Mantilla"	0.269288
"Tatiana Panova"	0.269097
"Catalina Cristea"	0.268991
"Karim Alami"	0.268715
"Tommy Haas"	0.268419
"Dominik Hrbaty"	0.267609
"Thomas Johansson"	0.266801
"Brenda Schultz-McCarthy"	0.266675
"Franco Squillari"	0.266498
"Florencia Labat"	0.266407
"Magnus Gustafsson"	0.266
"Ramon Delgado"	0.263465
"Arantxa Sanchez Vicario"	0.262495
"Renzo Furlan"	0.261577
"Jason Stoltenberg"	0.261018
"Arnaud Clement"	0.260459
"Arantxa Sanchez-Vicario"	0.260389
"Galo Blanco"	0.260223
"Marc Rosset"	0.25824
"Todd Woodbridge"	0.258045
"Wayne Ferreira"	0.25782
"Younes El Aynaoui"	0.257257
"Miriam Oremans"	0.256669
"Barbara Paulus"	0.256471
"Joannette Kruger"	0.256446
"David Prinosil"	0.256397
"American Chanda Rubin"	0.255545
"Paul Haarhuis"	0.255448
"Fabrice Santoro"	0.255445
"Jonas Bjorkman"	0.25531
"Marat Safin"	0.254804
"Jerome Golmard"	0.254302
"Cedric Pioline"	0.253859
"Vincent Spadea"	0.252291
"Nicolas Kiefer"	0.251047
"Sebastien Grosjean"	0.250549
"Albert Costa"	0.250226
"Scott Draper"	0.249606
"Richard Krajicek"	0.249506
"Jan-Michael Gambill"	0.249392
"Sjeng Schalken"	0.248175
"Monica Seles"	0.248109
"Carlos Costa"	0.247881
"Mariano Zabaleta"	0.247854
"Sergi Bruguera"	0.24677
"Lindsay Davenport"	0.246586
"Hicham Arazi"	0.246164
"Nicolas Escude"	0.245795
"Mikael Tillstrom"	0.245591
"Wayne Black"	0.245093
"Davide Sanguinetti"	0.244738
"Arnaud Di Pasquale"	0.244228
"Els Callens"	0.244023
"Filip Dewulf"	0.2435
"Arnaud Boetsch"	0.243332
"Rika Hiraki"	0.243321
"Amy Frazier"	0.241601
"Christian Ruud"	0.238876
"Nicole Pratt"	0.238813
"Gustavo Kuerten"	0.238398
"Slava Dosedel"	0.238233
"Andrei Medvedev"	0.238065
"Juan Antonio Marin"	0.237741
"Brett Steven"	0.237584
"Andrei Pavel"	0.236622
"Cara Black"	0.236123
"Mirjana Lucic"	0.235956
"Todd Martin"	0.234696
"MaliVai Washington"	0.233781
"Li Fang"	0.233129
"Gianluca Pozzi"	0.232545
Siemerink	0.231521
"Jana Novotna"	0.231506
"Nicolas Lapentti"	0.231021
"Andreas Vinciguerra"	0.230417
"Asa Carlsson"	0.229489
"Tim Henman"	0.229474
"Jennifer Capriati"	0.229018
"Daniel Nestor"	0.228096
"Thomas Muster"	0.227881
"Roger Federer"	0.227762
"Anna Kournikova"	0.22738
"Karol Kucera"	0.227328
"Jeff Tarango"	0.226939
"Venus Williams"	0.226602
"Kim Clijsters"	0.225466
"Alex Corretja"	0.225329
"Paola Suarez"	0.225106
"Martina Hingis"	0.224632
"Marcelo Filippini"	0.224625
"Marcelo Rios"	0.224537
"Chris Woodruff"	0.223705
"Mark Woodforde"	0.221078
"Olga Barabanschikova"	0.220706
"Grant Stafford"	0.220433
"American Todd Martin"	0.219889
"Magnus Larsson"	0.21944
"Yevgeny Kafelnikov"	0.218407
"Jim Courier"	0.218326
"Richey Reneberg"	0.218031
"Carlos Moya"	0.217849
"Alexandra Fusai"	0.217426
"Greg Rusedski"	0.216526
"Rita Grande"	0.216066
"Xavier Malisse"	0.214953
"Mary Joe Fernandez"	0.214475
"Goran Ivanisevic"	0.214123
"Corina Morariu"	0.214086
"Serena Williams"	0.213872
"Mark Philippoussis"	0.213593
"Kimberly Po"	0.213372
"Steffi Graf"	0.212918
"Mahesh Bhupathi"	0.21144
"Bohdan Ulihrach"	0.209323
"Martin Damm"	0.209297
"Julian Alonso"	0.206663
"Alberto Costa"	0.20662
"Mark Knowles"	0.2058
"Juan Carlos Ferrero"	0.204836
"Sebastien Lareau"	0.2046
"Tara Snyder"	0.204317
"Michael Chang"	0.203193
"Petr Korda"	0.202479
"Boris Becker"	0.201329
"Marcos Ondruska"	0.201157
"Kristie Boogert"	0.200932
"Neville Godwin"	0.200011
"Karina Habsudova"	0.199997
"Elena Dementieva"	0.199697
"Max Mirnyi"	0.199311
"Javier Sanchez"	0.197771
"Vince Spadea"	0.19775
Dragomir	0.195319
"Andrew Ilie"	0.193109
"South African Amanda Coetzer"	0.190769
"Jiri Novak"	0.190251
"Patrick Rafter"	0.189972
"Michael Tebbutt"	0.189934
"Justin Gimelstob"	0.189474
"Kveta Hrdlickova"	0.188011
"Barbara Rittner"	0.186927
"Jonathan Stark"	0.186575
"Daniel Vacek"	0.185886
"Jelena Dokic"	0.184733
"Henrieta Nagyova"	0.182474
"Australian Mark Philippoussis"	0.18186
"Nicklas Kulti"	0.181803
"Lleyton Hewitt"	0.180908
"Steve Campbell"	0.179373
"John Van Lottum"	0.177929
"Pat Rafter"	0.177765
"Stefan Edberg"	0.177617
"Rodney Eyles"	0.17602
"American Lindsay Davenport"	0.174036
Kroslak	0.172557
"Barbara Schwartz"	0.172248
"Peter Nicol"	0.17016
Stoltenberg	0.169535
"Van Roost"	0.169469
"Andre Agassi"	0.168497
Halard-Decugis	0.167153
"Michael Stich"	0.167028
Coetzer	0.166114
"Peter Rasmussen"	0.165619
"Gong Zhichao"	0.164784
"Wayne Arthurs"	0.164473
"Alex O'Brien"	0.163195
Swardt	0.162099
Mantilla	0.161449
"Andres Gomez"	0.161141
"Fung Permadi"	0.160193
Ulihrach	0.160147
Kuerten	0.160123
Kournikova	0.156717
"Peter Gade Christensen"	0.156484
Testud	0.155611
"Russian Yevgeny Kafelnikov"	0.154668
"Ye Zhaoying"	0.153289
"Alexandra Stevenson"	0.153224
Enqvist	0.152675
Kafelnikov	0.152157
Henman	0.152013
"Mats Wilander"	0.151513
Zamalek	0.150528
"Guy Forget"	0.150081
Sugiyama	0.147428
Kucera	0.145991
"Ong Ewe Hock"	0.142764
Corretja	0.141748
"Olivier Delaitre"	0.141202
Bruguera	0.140896
Bjorkman	0.139981
Majoli	0.139374
"Jubilo Iwata"	0.138807
"Vladimir Samsonov"	0.138712
"American Andre Agassi"	0.138373
Mauresmo	0.138293
Dosedel	0.138247
Krajicek	0.136618
"Susi Susanti"	0.135642
Novotna	0.134934
"Joko Suprianto"	0.134568
"Zhang Ning"	0.134567
"Pete Sampras"	0.134203
Sanchez-Vicario	0.133748
Pioline	0.133718
"Denisa Chladkova"	0.133682
"Adriana Gersi"	0.133421
Berasategui	0.132949
Hingis	0.132707
"Lori McNeil"	0.132695
"Sanchez Vicario"	0.132373
"Camilla Martin"	0.132301
"Paul Goldstein"	0.132265
"Dai Yun"	0.132132
"Jean-Philippe Gatien"	0.131741
Rusedski	0.131418
"Sandon Stolle"	0.131407
"Jansher Khan"	0.131013
"Mia Audina"	0.1306
Davenport	0.130099
"American Pete Sampras"	0.129681
"Briton Greg Rusedski"	0.129461
Seles	0.128921
"Li Ju"	0.128852
Nacional	0.128609
"Kong Linghui"	0.127747
"Helena Sukova"	0.127401
"Taufik Hidayat"	0.127291
"Dennis van Scheppingen"	0.127018
Edberg	0.124821
Safin	0.12481
"Jan-Ove Waldner"	0.124629
"Heryanto Arbi"	0.12437
"Dong Jiong"	0.123179
Capriati	0.123068
Independiente	0.122852
Agassi	0.122466
Ferreira	0.122455
Moya	0.121972
Gremio	0.121675
"Jacco Eltingh"	0.121087
"Partizan Belgrade"	0.120737
"Chicago Fire"	0.120644
"Wang Chen"	0.120455
"Wang Nan"	0.120265
"Janet Lee"	0.119565
Likhovtseva	0.119026
"Hiroyasu Shimizu"	0.118896
Susanti	0.118613
Rosset	0.117687
"Diego Nargiso"	0.115813
rios	0.115018
Gustafsson	0.114932
Huber	0.114793
"Chinese Taipei"	0.114591
"Jorgen Persson"	0.113676
Korda	0.113667
Spadea	0.113543
Haarhuis	0.112773
"Slavia Prague"	0.112666
"Wang Liqin"	0.112578
"Wang Shi-Ting"	0.112438
Hrbaty	0.112185
"Dallas Burn"	0.112094
Ivanisevic	0.111986
Brondby	0.11131
"Schalke @@"	0.111038
Waldner	0.110835
Kiefer	0.11058
Schalken	0.110479
"Xia Xuanze"	0.109712
"River Plate"	0.109667
Olympiakos	0.108958
Habsudova	0.10877
Philippoussis	0.108701
Clavet	0.10787
Zvereva	0.107657
"Werder Bremen"	0.107633
Raoux	0.107497
"Guangdong Hongyuan"	0.107348
Damm	0.107346
Palmeiras	0.107099
Kashima	0.106159
Meligeni	0.105802
"Larisa Neiland"	0.105617
"Dalian Wanda"	0.105477
Woodforde	0.105316
Villanova	0.105062
Panathinaikos	0.104472
"Jimmy Connors"	0.104442
Spirlea	0.104382
"Liu Guoliang"	0.104066
Sampras	0.104049
Schnyder	0.104001
"Ge Fei"	0.103874
Hendrawan	0.103154
Nicol	0.102925
"Shanghai Shenhua"	0.102924
Tauziat	0.101724
Larsson	0.101442
"Ji Xinpeng"	0.101414
Puerta	0.101334
"Kinder Bologna"	0.101332
Tarango	0.10066
))
(aid (desc 174863) (sims
assistance	0.295398
"food aid"	0.202331
"financial aid"	0.201978
loan	0.194098
funding	0.190633
subsidy	0.168007
fund	0.165824
HIV/AIDS	0.161648
HIV	0.161341
disease	0.158393
malaria	0.157229
relief	0.156709
grant	0.156257
help	0.154
financing	0.153356
support	0.152882
money	0.149978
investment	0.147914
donation	0.145705
cancer	0.142144
supply	0.135704
tuberculosis	0.134836
credit	0.132023
diabetes	0.131441
payment	0.129718
"heart disease"	0.126453
contribution	0.122547
program	0.119371
benefit	0.117033
compensation	0.116522
education	0.116442
infection	0.116425
aids	0.116341
resource	0.115727
food	0.1152
virus	0.114593
asthma	0.114248
leukemia	0.113931
debt	0.113155
package	0.112891
drug	0.112802
export	0.110957
reform	0.110174
hepatitis	0.10906
"AIDS virus"	0.108011
project	0.107728
revenue	0.10753
import	0.107466
spending	0.107284
cholera	0.106801
tax	0.106489
cash	0.105346
budget	0.105054
epidemic	0.104863
illness	0.104618
"tax break"	0.104207
polio	0.1042
"health care"	0.10418
protection	0.103337
"tax cut"	0.102136
"infectious disease"	0.10129
equipment	0.101252
cooperation	0.10111
"medical aid"	0.101062
allocation	0.101049
income	0.100894
goods	0.100853
dollar	0.100799
development	0.100776
Tb	0.0998732
access	0.0991355
disbursement	0.0988887
lending	0.0987882
incentive	0.0987628
"lung cancer"	0.098631
medicine	0.0983651
effort	0.0978301
service	0.0977961
damage	0.0974169
poverty	0.0972252
treatment	0.0964007
saving	0.0962007
Housing	0.09571
"Parkinson's disease"	0.0956867
measure	0.0955864
bailout	0.0955433
disorder	0.0949117
problem	0.094904
scholarship	0.0946095
policy	0.0945395
"tax credit"	0.0939901
cost	0.0939789
sale	0.0939562
reduction	0.0938767
participation	0.093783
intervention	0.0935532
use	0.093521
technology	0.0931508
care	0.0929831
activity	0.0926562
voucher	0.0926529
initiative	0.0925305
shipment	0.0925024
immigration	0.0922601
"cardiovascular disease"	0.0917107
malnutrition	0.0913367
"medical care"	0.0913364
"social service"	0.0909781
trade	0.0909609
pneumonia	0.0909594
Vaccine	0.0905249
welfare	0.0904843
guarantee	0.0898221
pension	0.0896204
action	0.0893488
training	0.0892873
security	0.0892623
flu	0.0890865
plan	0.0889181
diarrhea	0.0884478
insurance	0.0883486
weapon	0.0878915
"colon cancer"	0.0877411
commitment	0.0876265
measles	0.0872972
Obesity	0.0872367
Osteoporosis	0.0871719
fee	0.0868537
expenditure	0.0868333
Alzheimer	0.0867089
"drug abuse"	0.0864503
Meningitis	0.0862402
distribution	0.086134
research	0.0859742
flow	0.0858635
"tax revenue"	0.0856449
disaster	0.0856242
abortion	0.0850588
inflow	0.0848654
health	0.0847076
surplus	0.0845443
hypertension	0.084481
coverage	0.0844784
sanction	0.0841438
"health insurance"	0.0837044
operation	0.0835866
employment	0.0835721
material	0.0834576
"sexually transmitted disease"	0.0833983
infrastructure	0.0833269
prevention	0.0832813
violence	0.0832085
product	0.0832043
asset	0.0830937
improvement	0.083084
tourism	0.0829301
information	0.0828278
"family planning"	0.0827919
change	0.0827332
syndrome	0.0825881
amount	0.0824394
reimbursement	0.0823606
unemployment	0.0823138
transfer	0.08227
salary	0.0819126
influenza	0.0818649
construction	0.0817453
increase	0.081641
"food stamp"	0.081451
"credit line"	0.0812232
wage	0.081052
exposure	0.0809285
reparation	0.0808316
ailment	0.0808208
environment	0.0807277
Medicaid	0.080702
system	0.0805552
"social security"	0.0805298
arthritis	0.080434
gift	0.0803859
pollution	0.0803525
membership	0.0801944
production	0.0801612
Mission	0.080116
condition	0.0799549
amnesty	0.0796838
"high blood pressure"	0.0796807
force	0.0796754
purchase	0.0796657
"U.S. Dollars"	0.0796192
"tax incentive"	0.0793971
facility	0.0793629
government	0.0791692
proposal	0.079009
visit	0.0786704
profit	0.0785394
terrorism	0.0785361
cut	0.0783326
bonus	0.0780902
counseling	0.077926
))
(Aida (desc 8332.47) (sims
Turandot	0.193015
Rigoletto	0.164891
Otello	0.148889
Tosca	0.147509
"La Traviata"	0.147135
"Peony Pavilion"	0.130539
Falstaff	0.122824
"Marie Christine"	0.114039
Salome	0.107158
"Wild Party"	0.0998146
Isolde	0.0951479
Faust	0.0933573
ragtime	0.0913541
Carmen	0.0889823
Porgy	0.0889217
Mulan	0.0879928
Macbeth	0.0875771
"Lion King"	0.087541
Giselle	0.0828954
"sleeping beauty"	0.0810411
Susannah	0.0798667
"Twelfth Night"	0.0792647
Tarzan	0.0784355
"LA BOHEME"	0.0772008
"Swan Lake"	0.0767252
opera	0.0757537
Annie	0.0745223
"Night Fever"	0.0735872
Requiem	0.0733673
cabaret	0.0729181
Nutcracker	0.072642
"Don Giovanni"	0.0722284
Norma	0.0719758
"Sweeney Todd"	0.0702924
"Christmas carol"	0.0702924
"Don Quixote"	0.0698174
"world premiere"	0.0682114
Tristan	0.0671523
Othello	0.0662004
Fosse	0.0654797
"Sally Hemings"	0.0652717
"scarlet pimpernel"	0.0651822
Fantasia	0.0650764
"Amazing Grace"	0.0633642
Electra	0.0611986
Carol	0.0600878
"Sleepy Hollow"	0.0590389
Winnie	0.0583355
Diana	0.0580627
"Iceman Cometh"	0.0579535
"Symphony No. @"	0.0575154
Lucia	0.0568883
"Toy Story"	0.0562813
"Julius Caesar"	0.0560001
Footloose	0.0559478
Aladdin	0.0559472
"Peter Pan"	0.055576
"Great Gatsby"	0.0554567
libretto	0.0549825
Stella	0.0547617
Sethe	0.0540322
"Azizah Ismail"	0.0534586
phantom	0.0533211
Figaro	0.0531729
Rushmore	0.052923
Revue	0.0528485
"wise guy"	0.0527938
"King Lear"	0.0527905
Dorothy	0.0523855
Tracey	0.0523101
ballet	0.0519324
Camelot	0.0517637
Romeo	0.0517528
Kathleen	0.0516474
"Wonderful World"	0.0510664
anna	0.0508434
duet	0.0507929
Aria	0.0504972
Evelyn	0.0502342
"Star-Spangled Banner"	0.0500101
Aron	0.0499694
"Annie Get Your Gun"	0.0496865
Lynne	0.0496536
Oedipus	0.0492059
"Passion play"	0.0489247
Marie	0.0485393
Beatrice	0.04849
"True West"	0.0484774
"Full Monty"	0.0481516
Evita	0.0480252
symphony	0.0479413
Anne	0.0479074
"chorus line"	0.0477994
GO.com	0.0476494
Sally	0.0475829
"Richard III"	0.0472555
Maria	0.0471716
"West Side Story"	0.0471638
"Marco Polo"	0.047119
Hurlyburly	0.0467667
Marlene	0.0466084
Phyllis	0.0465214
Denise	0.0464776
cantata	0.0460456
Antz	0.046028
Rodgers	0.045988
Stephanie	0.0459686
Iceman	0.0459655
Samson	0.0458365
"chamber music"	0.0454963
Judy	0.0451994
Alice	0.0451735
"Magic Kingdom"	0.0447107
Cathy	0.0446161
Martha	0.0445272
Kristin	0.0444448
Doris	0.0442655
"Music Man"	0.0442609
Cinderella	0.0441892
concerto	0.0441621
Lucille	0.0440447
"piece of music"	0.0440431
Mimi	0.0439129
leprechaun	0.0432713
Firebird	0.0432325
"sixth sense"	0.0430981
Godot	0.0430976
"Cradle Will Rock"	0.0430126
Jill	0.0430038
Bess	0.0429626
Juanita	0.0429194
Brenda	0.0428184
"Beauty Queen"	0.0427572
Hedwig	0.042507
Kate	0.0423026
"Anna Karenina"	0.0421671
"Les Miserables"	0.0420408
Eileen	0.0418661
Riverdance	0.0418298
taming	0.0418276
Valerie	0.0417868
Margaret	0.041765
Messiah	0.0416909
staging	0.04143
Peggy	0.041308
"Blue Room"	0.041182
alicia	0.0411766
Rebecca	0.0407201
"Inspector Gadget"	0.0406947
Esther	0.0405378
psycho	0.0405147
"Billy Joel"	0.0405095
Sonia	0.0404593
Mona	0.0404476
Connie	0.040185
Marilyn	0.0401792
))
("Aidan Quinn" (desc 2398.57) (sims
"William Hurt"	0.141006
"Alicia Silverstone"	0.131417
"Dennis Quaid"	0.125632
"Renee Zellweger"	0.122347
"Angela Bassett"	0.117095
"Natalie Portman"	0.111084
"Sally Field"	0.109799
"Sigourney Weaver"	0.0986498
"Mark Wahlberg"	0.0973181
"Michael Caine"	0.0956852
"Jeremy Irons"	0.0946877
"Jamie Foxx"	0.0925525
"Emily Watson"	0.0913719
"Matthew Broderick"	0.0913601
"Wesley Snipes"	0.0888483
"Kathy Bates"	0.087892
"Kevin Spacey"	0.0861995
"Alec Baldwin"	0.0851564
"Annette Bening"	0.0848334
"Stephen Rea"	0.0848121
"Martin Sheen"	0.0843333
"Ashley Judd"	0.0842352
"Taye Diggs"	0.0837981
"Michelle Pfeiffer"	0.0823557
"Whoopi Goldberg"	0.0817671
"Tobey Maguire"	0.0805105
"Jessica Lange"	0.0799808
"Russell Crowe"	0.0799455
"Alfre Woodard"	0.0796092
"Robert Redford"	0.0791107
"Rob Lowe"	0.0781707
"James Earl Jones"	0.0776848
"Kris Kristofferson"	0.0776386
"Harvey Keitel"	0.0775607
"Susan Sarandon"	0.076316
"Martin Lawrence"	0.0760768
"Joseph Fiennes"	0.0760019
"Chevy Chase"	0.0759552
"Kevin Kline"	0.0757799
"Frances McDormand"	0.0755239
"Richard Gere"	0.0754712
"Ewan McGregor"	0.0752096
"Holly Hunter"	0.0750143
"Kim Basinger"	0.0742983
"Hugh Grant"	0.0741453
"Chris Klein"	0.0740997
"Ed Harris"	0.0740767
"Glenn Close"	0.073804
"Jennifer Love Hewitt"	0.0735283
"Robert de Niro"	0.0732055
"Paul Newman"	0.0726518
"Brenda Blethyn"	0.0723868
"Warren Beatty"	0.0722803
"Meryl Streep"	0.0722044
swank	0.0719577
"Nigel Hawthorne"	0.0711655
"Brendan Fraser"	0.0706761
"Helen Mirren"	0.0700247
"Kate Winslet"	0.0697317
"Robert Downey Jr."	0.0692694
"Ben Stiller"	0.0682408
"John Cusack"	0.067951
"Janet McTeer"	0.0678373
"Nick Nolte"	0.067768
"Ethan Hawke"	0.0673836
"Omar Epps"	0.0673346
"GLORIA ESTEFAN"	0.0671494
"Chris Cooper"	0.0668055
"John Travolta"	0.066792
"Kevin Bacon"	0.0667316
"Kirk Douglas"	0.0666709
"Drew Barrymore"	0.066667
"George Clooney"	0.0665913
"Danny Glover"	0.0659554
"Edward Norton"	0.0655163
"Salma Hayek"	0.0652881
"Sean Penn"	0.0647347
"Michael Douglas"	0.0644475
"Cate Blanchett"	0.0637531
"Carol Burnett"	0.0632678
"James Van Der Beek"	0.0630537
"Tom Hanks"	0.0628961
"Gregory Peck"	0.0628261
"Demi Moore"	0.0626331
Gielgud	0.0623229
"Joan Allen"	0.0615446
"Geoffrey Rush"	0.0610475
"Johnny Depp"	0.0599006
"Faye Dunaway"	0.0597145
"Melanie Griffith"	0.0594575
"Arnold Schwarzenegger"	0.0592612
"Gabriel Byrne"	0.0590612
"Natasha Richardson"	0.0590162
"Leelee Sobieski"	0.0590118
"James Woods"	0.0589871
"Danny DeVito"	0.0588584
"Jeff Bridges"	0.0588386
"Oliver Platt"	0.0587506
"Sandra Bullock"	0.0584976
Cleese	0.058307
"Gene Hackman"	0.0582916
"Jimmy Smits"	0.0581877
"Sarah Jessica Parker"	0.0580099
"Dan Aykroyd"	0.0575389
"Laurence Fishburne"	0.0569731
"Bruce Willis"	0.0569631
"Tom Cruise"	0.0569427
"Julianne Moore"	0.0569366
"Cary Grant"	0.0568577
"Ruben Blades"	0.0563372
"Christopher Reeve"	0.0562649
"Harrison Ford"	0.0558684
"Ralph Fiennes"	0.0556726
"Meg Ryan"	0.055358
"Winona Ryder"	0.0549278
"Burt Lancaster"	0.0548091
"Heather Graham"	0.0547335
"Ben Affleck"	0.0545638
"Tyra Banks"	0.0544062
"Catherine Keener"	0.0539954
"Brad Pitt"	0.0535534
"Kirsten Dunst"	0.0535495
"Steve McQueen"	0.0534891
"Jon Voight"	0.0531794
"Nicole Kidman"	0.0530905
"Richard Dreyfuss"	0.0530351
"Sidney Poitier"	0.0530295
"Henry Fonda"	0.0529534
"Claire Danes"	0.0527406
"Anne Heche"	0.0524615
"Vanessa Redgrave"	0.0524032
"Elisabeth Shue"	0.0523497
"Rene Russo"	0.0522929
"Billy Crudup"	0.0517835
"Kevin Costner"	0.0514936
"Dustin Hoffman"	0.0511342
"Edward Furlong"	0.0511032
Zeta-Jones	0.0509578
"Vivien Leigh"	0.0507911
"Andre Braugher"	0.050755
"Liam Neeson"	0.0506749
"Calista Flockhart"	0.0506464
"Denzel Washington"	0.0505685
"John Malkovich"	0.0504837
"Ally Sheedy"	0.0503785
"Spencer Tracy"	0.0501537
"Patrick Stewart"	0.0501149
"Keanu Reeves"	0.0499199
"Julia Roberts"	0.0499016
"Christina Ricci"	0.0498878
"John Leguizamo"	0.0496932
"Matthew Perry"	0.0493744
"Tom Selleck"	0.0493682
"Ian McKellen"	0.0492478
"Toni Collette"	0.0492267
"Chow Yun-Fat"	0.0490948
"Woody Harrelson"	0.048994
"John Goodman"	0.0489936
Braugher	0.0489789
"Kelsey Grammer"	0.048851
"Cuba Gooding Jr."	0.048818
"Hilary Swank"	0.0486997
"Tommy Lee Jones"	0.048691
"Val Kilmer"	0.0486853
"Janeane Garofalo"	0.0486541
"Jane Fonda"	0.0486378
"Billy Bob Thornton"	0.048579
"Sissy Spacek"	0.0485548
"Jamie Lee Curtis"	0.0483513
"Richard Burton"	0.0478119
"Robert DeNiro"	0.0478071
"Bill Paxton"	0.0477997
"Jack Nicholson"	0.0476749
Costner	0.047625
"Samuel L. Jackson"	0.0475885
"Uma Thurman"	0.0474834
"Bill Murray"	0.0474329
"Ian Holm"	0.047396
"Vince Vaughn"	0.0473943
"Kathleen Turner"	0.0471454
"Christian Bale"	0.0470724
"JOHN TURTURRO"	0.0468462
"Matt Damon"	0.0468149
Broderick	0.0467911
"Gwyneth Paltrow"	0.0465842
"Denis Leary"	0.0463103
"Matthew McConaughey"	0.0457481
"Stanley Tucci"	0.0456436
"Al Joyner"	0.0454943
"Donald Sutherland"	0.0454673
"Sylvester Stallone"	0.0452653
"Robin Williams"	0.0451965
"Neve Campbell"	0.0451377
"Sela Ward"	0.0450382
"Charlton Heston"	0.0450338
"Golden Globe"	0.0449306
"Helen Hunt"	0.0447617
"Humphrey Bogart"	0.04476
"James Cagney"	0.0446323
"Steve Allen"	0.0445417
))
(aide (desc 113950) (sims
adviser	0.290114
advisor	0.178171
"press secretary"	0.165584
"chief of staff"	0.164321
staffer	0.148769
strategist	0.147742
official	0.146751
associate	0.144202
confidant	0.142596
lawyer	0.141527
secretary	0.138615
supporter	0.137534
assistant	0.134408
"security adviser"	0.133494
"staff member"	0.127811
spokesman	0.123259
colleague	0.12092
"campaign official"	0.120695
lawmaker	0.120353
"cabinet minister"	0.119653
deputy	0.118305
Counsel	0.115311
appointee	0.115151
ally	0.113427
prosecutor	0.11277
leader	0.112765
Attorney	0.112554
executive	0.11228
friend	0.111859
diplomat	0.111183
legislator	0.110248
officer	0.109923
counselor	0.109834
consultant	0.109633
politician	0.109383
backer	0.107265
senator	0.10723
"campaign adviser"	0.106688
staff	0.106183
member	0.105355
manager	0.105253
"secretary of state"	0.105158
investigator	0.104871
minister	0.103114
critic	0.103027
reporter	0.10257
chief	0.101249
Governor	0.10082
Clinton	0.100317
expert	0.100029
representative	0.099668
doctor	0.0984673
operative	0.0981935
lobbyist	0.0981096
commissioner	0.0977881
journalist	0.0974623
President	0.0972744
negotiator	0.0969762
Republican	0.0968997
bodyguard	0.096744
administrator	0.0964439
Mayor	0.0951541
Ambassador	0.0942398
advocate	0.0935625
Democrat	0.0928386
agent	0.0928292
chairman	0.0927178
activist	0.092696
commander	0.092575
Lieutenant	0.0924842
director	0.0921222
envoy	0.0909613
employee	0.0907375
administration	0.0904543
"military officer"	0.0904345
loyalist	0.0896766
"federal official"	0.0896288
nurse	0.0895279
analyst	0.0892009
intern	0.0890342
"finance minister"	0.0888665
"campaign worker"	0.0883592
General	0.0881861
"vice president"	0.0880049
confidante	0.0878291
spokeswoman	0.0875866
"family member"	0.087337
scientist	0.0865863
"police officer"	0.086553
banker	0.0860947
Albright	0.0858735
delegate	0.0846055
opponent	0.0845903
wife	0.0841237
Speaker	0.0838459
letter	0.0835641
"Vernon Jordan"	0.0833824
candidate	0.0833033
supervisor	0.0829055
congressmen	0.0826043
speechwriter	0.0822357
insider	0.0819743
fund-raiser	0.0817748
economist	0.0816151
successor	0.0812452
commentator	0.0811119
"legal expert"	0.0806828
"White House"	0.0806056
spokesmen	0.0804803
judge	0.080284
teacher	0.0801871
observer	0.0798908
"political leader"	0.0795645
witness	0.0793284
physician	0.0790381
pollster	0.078735
Arafat	0.078488
scholar	0.0783801
specialist	0.0783784
subordinate	0.0782812
others	0.0781471
"William Cohen"	0.0780635
Bush	0.078053
Cohen	0.0777911
Lewinsky	0.0777306
treasurer	0.077582
educator	0.0774304
"committee member"	0.0773607
editor	0.0772684
"board member"	0.0772496
Currie	0.0770323
surrogate	0.0768603
"Janet Reno"	0.0766059
volunteer	0.0760973
"elected official"	0.0758711
worker	0.0758114
"foreign minister"	0.0755588
"business leader"	0.0755164
businessmen	0.075333
"army officer"	0.0751799
regulator	0.0749584
follower	0.0749182
organizer	0.0748017
"Sidney Blumenthal"	0.0747675
"FBI agent"	0.0747413
Netanyahu	0.0747225
"running mate"	0.0747025
"labor leader"	0.0742991
relative	0.0742228
Congressman	0.0742072
challenger	0.0741185
protege	0.0739887
publicist	0.0739334
mediator	0.073731
"social worker"	0.0735083
handler	0.0734308
entourage	0.0733087
technician	0.0731599
researcher	0.0730842
planner	0.073065
"cabinet member"	0.0729003
clerk	0.0727877
Tripp	0.0726762
committee	0.0725807
Lott	0.0725008
rival	0.0724774
government	0.0724734
parent	0.0721628
co-worker	0.0720516
bureaucrat	0.0719771
engineer	0.0716501
Primakov	0.0715887
crony	0.0715068
office	0.0713887
gore	0.0713356
Annan	0.0713339
accountant	0.0712208
environmentalist	0.0711563
undersecretary	0.0710638
police	0.0709092
"council member"	0.0707618
Mandela	0.0707032
juror	0.0704412
Blumenthal	0.0703679
Barak	0.0703654
Sharif	0.0703225
authority	0.0701719
auditor	0.0701626
pilot	0.0699792
campaign	0.0698835
foe	0.0698268
principal	0.0698045
"government officials"	0.0697975
professor	0.0695517
Yeltsin	0.069525
student	0.0694237
correspondent	0.0693359
"Yevgeny Primakov"	0.0692478
psychologist	0.0691305
donor	0.0690626
))
(Aideed (desc 1754.55) (sims
"Osman Atto"	0.295242
Aidid	0.291333
"Hussein Aidid"	0.234622
"Ali Mahdi"	0.209336
Atto	0.150371
"Hussein Mohamed Aidid"	0.144803
"Maung Aye"	0.129111
Diouf	0.116874
"Ali Mahdi Mohamed"	0.113844
Koroma	0.113671
Guterres	0.113459
Dostum	0.113227
Rabbani	0.111089
Rakhmonov	0.105167
Lipponen	0.104956
Masood	0.1029
Mahdi	0.101782
"de Charette"	0.101638
Komura	0.10147
Guei	0.101459
Akayev	0.0992727
Meguid	0.0979347
"Ansumane Mane"	0.0951304
Shevardnadze	0.0942243
Rifkind	0.09384
Abdel-Meguid	0.0930766
"Than Shwe"	0.0908344
Klima	0.0906825
Kabbah	0.0906776
Garang	0.0882482
"Pervaiz Musharraf"	0.0877018
Bucaram	0.0857558
Luong	0.0850358
"Abidine Ben Ali"	0.0842003
Musharraf	0.0840481
Deuba	0.0839544
Stoyanov	0.0834806
Sumaye	0.0833992
Ganzouri	0.0833923
Dudayev	0.0831151
Orban	0.0826269
"Khin Nyunt"	0.0824852
Constantinescu	0.0822304
Buzek	0.08214
Kostov	0.0816719
"Osman Ali Atto"	0.0816037
Frei	0.0815596
"Chavalit Yongchaiyudh"	0.0814819
Abubakar	0.0812889
"Zhang Wannian"	0.0809058
Aliev	0.0809018
Dodik	0.080844
Ruggiero	0.0805936
Hekmatyar	0.0803901
Majali	0.0802323
Nazarbayev	0.0797157
Granic	0.079379
Scharping	0.0793435
Ruehe	0.0792948
Jayakumar	0.0790074
Rodionov	0.0789717
Hariri	0.0784263
Mkapa	0.0782738
Niyazov	0.0780457
Pustovoitenko	0.0774732
Azad	0.0771681
"Sali Berisha"	0.077112
Zhirinovsky	0.0767898
Pickering	0.0766796
Dehaene	0.0766149
"Jose Maria Aznar"	0.0761707
"Jerzy Buzek"	0.0757419
"Yu Yongbo"	0.0755216
"Charles de Gaulle"	0.075472
Barzani	0.0753897
Santer	0.0751828
Leghari	0.0744768
Kumaratunga	0.0742658
"Secretary General Esmat Abdul-Meguid"	0.0741807
"Hun Sen"	0.0740432
Axworthy	0.0738866
Zuma	0.0738123
Luo	0.0729407
"Klaus Naumann"	0.0728366
"Milos Zeman"	0.0727769
Chissano	0.0726417
Allende	0.0721967
McCaffrey	0.0721202
Obasanjo	0.0719878
"Salim Saleh"	0.0719645
"Roosevelt Johnson"	0.0718205
Prueher	0.0710904
"Salim Ahmed Salim"	0.0710683
Klestil	0.0709372
Ghalib	0.0709348
Banharn	0.0707944
"Lee Hsien Loong"	0.0706219
Koirala	0.0705798
Pangalos	0.0705319
"Khaleda Zia"	0.070353
Mugabe	0.0701608
Jayalalitha	0.070119
"Laurent Kabila"	0.070114
Karimov	0.0700547
Velayati	0.0699267
"Douglas MacArthur"	0.0699195
Nkomo	0.0698049
Narayanan	0.0696774
"De Soto"	0.0692879
Kuchma	0.069167
"Esmat Abdel Meguid"	0.0691431
Nzo	0.0691137
el-Ganzouri	0.0689854
Kai-shek	0.0685704
"Abdulsalam Abubakar"	0.0685689
"Chuan Leekpai"	0.0685151
Lukashenko	0.0683632
"Zapatista National Liberation Army"	0.0683586
D'Alema	0.0682913
"Xiong Guangkai"	0.0681063
Kok	0.0680533
Isaias	0.0678897
Menem	0.0677511
"Dos Santos"	0.0675457
KDP	0.0675038
Chavalit	0.0672103
"Pervez Musharraf"	0.0671471
Ahern	0.0665645
Ikeda	0.0664876
Aznar	0.0664733
Rasmussen	0.0664676
Cem	0.0663687
Vajpayee	0.0663191
Gantamirov	0.0659451
"Secretary General Esmat Abdel-Meguid"	0.0657459
"Joseph Ralston"	0.0656151
"Yoshiro Mori"	0.0654785
Mohamed	0.065471
Meles	0.0653683
Bedie	0.0652648
Bondevik	0.0652344
Brittan	0.0652207
Xiong	0.0649584
Juma	0.0648597
Kharrazi	0.0647346
NP	0.0647092
Chiluba	0.0645893
Siazon	0.0645647
Majko	0.0645074
"Gro Harlem Brundtland"	0.0644933
"Romano Prodi"	0.0644244
Fabius	0.0642945
Jovanovic	0.064251
Ikimi	0.063981
el-Bashir	0.0637147
Modise	0.0635317
"Liu Huaqing"	0.0633366
Moratinos	0.0632239
RRA	0.0632089
Dini	0.0631292
"Robert E. Lee"	0.063113
Koo	0.0629639
"John Shalikashvili"	0.0628715
Sahnoun	0.0627877
Patasse	0.0627083
Bulatovic	0.0625283
Grachev	0.0624756
Bhutto	0.0624719
Bellamy	0.0624675
Hasina	0.0624446
"Binyamin Netanyahu"	0.0620149
Tsvangirai	0.0619279
"Goran Persson"	0.0618293
Rugova	0.0618004
"Renato Ruggiero"	0.0617963
"Costas Simitis"	0.0617596
Scalfaro	0.0615754
"Fu Quanyou"	0.0614938
Sampaio	0.0614479
Chand	0.0612482
Fino	0.0611163
Ershad	0.0610836
"Mike Moore"	0.0610185
Surin	0.0608766
Buyoya	0.0608378
Rossello	0.0608317
Museveni	0.0607843
Zou	0.0607518
Khatami	0.0606941
Bildt	0.0606892
"Chea Sim"	0.0606225
RPP	0.0606219
"Yasser Arafat"	0.0605244
Gujral	0.0604289
Wamba	0.06029
"Robert Guei"	0.0602221
Vasile	0.0601423
Maskhadov	0.060081
Ogata	0.0600235
"Ramsey Clark"	0.0599557
))
(Aidid (desc 6579.5) (sims
"Hussein Aidid"	0.391554
"Osman Atto"	0.297297
Aideed	0.291333
"Hussein Mohamed Aidid"	0.271719
"Ali Mahdi"	0.237198
Atto	0.223391
"Ali Mahdi Mohamed"	0.161069
Masood	0.154007
Dostum	0.147906
"Rashid Dostum"	0.145705
RRA	0.129349
Rabbani	0.125384
Gantamirov	0.119995
"Roosevelt Johnson"	0.119483
Dudayev	0.110391
Basayev	0.107639
Savimbi	0.106382
Ranariddh	0.103977
"Osman Hassan Ali Atto"	0.103438
Guei	0.102533
Kabila	0.101643
Speight	0.101284
warlord	0.100261
Musharraf	0.100241
Koroma	0.0989099
Kai-shek	0.0956472
"Rahanwein Resistance Army"	0.0955487
Berisha	0.0930548
Mugabe	0.0924727
Maskhadov	0.0924197
Sankoh	0.0915281
Obasanjo	0.089916
Rafsanjani	0.0897974
Abacha	0.0885621
Khatami	0.0874492
"Sani Abacha"	0.0867513
Raduyev	0.0865559
Chavalit	0.0865473
Rugova	0.0862192
"Osman Ali Atto"	0.0859734
"Hun Sen"	0.0854612
"Shamil Basayev"	0.0845794
"Chavalit Yongchaiyudh"	0.0843338
Kabbah	0.0842025
Garang	0.0836873
Chand	0.0824796
Megawati	0.0820604
Lissouba	0.0817098
RUF	0.0814234
Khamenei	0.0809512
Wamba	0.0808158
Perot	0.0804617
"Sam Rainsy"	0.0803494
"Northern Alliance"	0.0800816
Hoffa	0.0799136
Abubakar	0.0796085
UNITA	0.0795394
Mobutu	0.0791876
Kaunda	0.0791368
Lebed	0.0779506
"Charles Taylor"	0.0774549
Djukanovic	0.0773334
"Laurent Kabila"	0.0766742
Noboa	0.0766182
mujahedeen	0.0765045
Tudjman	0.076287
"Yasser Arafat"	0.0758035
Trimble	0.0742304
Koirala	0.0741845
Deuba	0.0741182
Hasina	0.0737564
Kulikov	0.0737334
Taliban	0.0736949
Shevardnadze	0.0732244
Hariri	0.0730126
Megret	0.0729385
LRA	0.0729219
Chiluba	0.0728954
Samper	0.0727678
"Wlodzimierz Cimoszewicz"	0.0723083
"Jonas Savimbi"	0.0722268
Yadav	0.0720977
"Khun Sa"	0.0720849
Barzani	0.0715256
Banharn	0.0711655
Yilmaz	0.0711246
Kuchma	0.0710761
Meles	0.0709171
"Fatos Nano"	0.0706347
Vieira	0.0706071
Habibie	0.0705753
Marehan	0.070569
Hussein	0.0705621
"Sher Bahadur Deuba"	0.0701626
Fujimori	0.0701443
Chevenement	0.0698393
Arafat	0.069584
Menem	0.069577
Wiranto	0.0693503
Mahdi	0.0692521
"Maung Aye"	0.0692461
Cardoso	0.0690927
Buyoya	0.068942
Aliev	0.0688818
Izetbegovic	0.0688527
Chavez	0.068627
Denktash	0.0685268
"African National Congress"	0.0685133
Chaudhry	0.068332
Abiola	0.0682394
"Ayatollah Ruhollah Khomeini"	0.0682381
"Mesut Yilmaz"	0.0682206
Fayed	0.068178
Erbakan	0.0681718
Museveni	0.068068
Misuari	0.0680144
Chuan	0.0677083
subclan	0.0676391
"Jordanian King Hussein"	0.0675013
"Chuan Leekpai"	0.0671437
Benazir	0.067095
Bedie	0.0670902
Hekmatyar	0.0670334
Aleman	0.066998
Bhutto	0.066793
Rossello	0.0666567
"Abdul Malik"	0.0666238
Lukashenko	0.0665093
"Chief Executive Tung Chee-hwa"	0.0663805
Ghalib	0.0662952
el-Bashir	0.0662355
Ecevit	0.0662157
Khomeini	0.0661083
Nujoma	0.0660986
"South Lebanon Army"	0.065991
Mohamed	0.0656771
"Ibrahim Rugova"	0.0656116
"Aung San Suu Kyi"	0.0655203
"Israeli Foreign Ministry"	0.0655189
Madrazo	0.0655177
"Binyamin Netanyahu"	0.0653229
SPLA	0.065185
Gowda	0.0651688
Milosevic	0.0650889
"Khin Nyunt"	0.0649898
Bulatovic	0.0649215
Hassan	0.0649146
Berlusconi	0.0645892
"David Koresh"	0.0644513
"Jose Maria Aznar"	0.0643843
Aquino	0.064376
Vajpayee	0.0643713
"Omar Torrijos"	0.0641974
Wahid	0.0641396
Ashrawi	0.0640835
Advani	0.0639564
Kumaratunga	0.063878
Zapatistas	0.0638374
"Salim Hoss"	0.0637558
"Pervez Musharraf"	0.0637422
"Paul Coverdell"	0.0637325
Simitis	0.0636548
militia	0.0635436
Juppe	0.0634389
militiamen	0.0633761
Kesri	0.0632744
"Ehud Barak"	0.0632581
Saddam	0.0632566
"Slobodan Milosevic"	0.0630779
"Benazir Bhutto"	0.0629601
Obuchi	0.062869
Yeltsin	0.0627905
Banzer	0.0626854
al-Bashir	0.062641
Diouf	0.0626101
"Begum Khaleda Zia"	0.0622698
Zedillo	0.0622605
Malu	0.0621545
IFP	0.0620846
"George Speight"	0.0620657
junta	0.0620232
Velayati	0.0619574
"Afghan Taliban"	0.0619136
BJP	0.0618982
"Than Shwe"	0.0618716
"Sonia Gandhi"	0.0617774
McCaffrey	0.061685
"Russian Foreign Ministry"	0.061376
"President Kim Young-sam"	0.0612195
"Milos Zeman"	0.061145
"Gro Harlem Brundtland"	0.0611376
faction	0.061023
Vasile	0.0609775
"Lokendra Bahadur Chand"	0.060974
"Kim Il Sung"	0.0609405
Amin	0.060916
Moi	0.06087
Sharif	0.0607825
"Deve Gowda"	0.0605807
Supachai	0.0605227
))
(aids (desc 24098) (sims
HIV/AIDS	0.191062
malaria	0.172603
HIV	0.166187
tuberculosis	0.158085
cholera	0.157925
Tb	0.147865
disease	0.142768
"AIDS virus"	0.139013
pandemic	0.136767
epidemic	0.13398
malnutrition	0.126621
"heart disease"	0.123682
infection	0.120483
polio	0.120428
"dengue fever"	0.119556
leukemia	0.118793
"Lyme disease"	0.117982
"colon cancer"	0.117813
aid	0.116341
"infectious disease"	0.115583
cancer	0.113183
"sexually transmitted disease"	0.113178
diabetes	0.112621
asthma	0.112035
virus	0.109789
"lung cancer"	0.109563
hepatitis	0.108617
leprosy	0.107158
"hepatitis B"	0.107146
syphilis	0.106868
measles	0.104949
disorder	0.101395
"drug abuse"	0.100538
Meningitis	0.0990754
Obesity	0.0990669
dementia	0.0981946
diarrhea	0.0980807
autism	0.0964801
"acquired immune deficiency syndrome"	0.0960796
flu	0.0944274
Dengue	0.0942498
"cardiovascular disease"	0.0928709
illness	0.0922284
"Parkinson's disease"	0.092112
STDs	0.0918917
als	0.0902813
syndrome	0.0901782
"multiple sclerosis"	0.0899558
"brain tumor"	0.0884512
diarrhoea	0.0867829
smoking	0.0864891
blindness	0.0864056
Osteoporosis	0.0863869
poverty	0.0858529
smallpox	0.085109
"rheumatoid arthritis"	0.084452
hypertension	0.084229
influenza	0.084159
anthrax	0.0839007
encephalitis	0.0831533
"communicable disease"	0.0829683
plague	0.0828541
cataract	0.0825731
CJD	0.0824846
fever	0.0823249
starvation	0.0821306
famine	0.0820182
pneumonia	0.0815889
"West Nile"	0.0809747
"contagious disease"	0.0809001
Alzheimer	0.0808953
"Human Immunodeficiency Virus"	0.0797958
hunger	0.0796424
"heart failure"	0.0791032
emphysema	0.0789695
Parkinson's	0.0787805
desertification	0.0785524
lymphoma	0.0784896
"venereal disease"	0.0782387
"mental illness"	0.0780867
"drug addiction"	0.0770177
Rabies	0.076882
"foot-and-mouth disease"	0.0765511
"cystic fibrosis"	0.0757747
"yellow fever"	0.074683
arthritis	0.0746069
epilepsy	0.0743596
poisoning	0.0743085
illiteracy	0.0740002
ailment	0.0739785
Alcoholism	0.0738953
"food poisoning"	0.0736441
"liver disease"	0.0731138
piracy	0.0725961
bacteria	0.0720631
melanoma	0.0713916
"respiratory disease"	0.0712635
"heart attack"	0.0706112
"drug trafficking"	0.0703984
BSE	0.0692193
"forest fire"	0.0692018
"heart condition"	0.0691984
Depression	0.0686071
"congestive heart failure"	0.068557
outbreak	0.0680949
violence	0.0679953
allergy	0.0679253
unemployment	0.0674458
anemia	0.067324
"acid rain"	0.0667619
"mental disorder"	0.0667176
"drug use"	0.0664957
"plant disease"	0.0658964
pollution	0.0658724
homelessness	0.0657607
"air pollution"	0.0655774
Hantavirus	0.0652776
corruption	0.0652252
dehydration	0.0652184
instability	0.0651945
calamity	0.0647706
contagion	0.0647318
canker	0.0644684
"eye disease"	0.0644407
"high blood pressure"	0.0643771
flooding	0.0642351
Addiction	0.0639907
Dysentery	0.0636416
"skin cancer"	0.0635872
sickness	0.0634892
"genetic disease"	0.0632199
ulcer	0.0632133
scourge	0.0631741
complication	0.0625322
defect	0.0625051
pest	0.061758
salmonella	0.0617481
crime	0.0613945
strain	0.0611066
schizophrenia	0.061093
flood	0.0610265
ebola	0.0606894
disability	0.0605378
shortage	0.0604574
deficiency	0.0602755
deforestation	0.0599376
terrorism	0.0596326
"cerebral palsy"	0.0596059
overdose	0.059402
gastroenteritis	0.0591874
drug	0.0590842
germ	0.0589249
infertility	0.0588763
"Hurricane Mitch"	0.0585603
drought	0.0584877
"blood clot"	0.0583423
migraine	0.0582857
"soil erosion"	0.0581426
malignancy	0.0578138
inflation	0.0573328
C	0.0573086
parasite	0.0571032
disaster	0.0570539
crisis	0.0568391
coli	0.0567611
smuggling	0.056582
"organized crime"	0.0563133
bug	0.056218
contamination	0.0561728
gonorrhea	0.0560006
unrest	0.055454
suicide	0.0553242
"substance abuse"	0.0552542
strife	0.0551179
degradation	0.0546918
deflation	0.0546659
wildfire	0.0546239
gambling	0.054535
crises	0.0543774
"drug problem"	0.0542803
pregnancy	0.0541496
racism	0.0540005
landmines	0.0539161
hypothermia	0.0539118
Mitch	0.0537523
"lead poisoning"	0.0535128
accident	0.0534547
cold	0.0531178
poliomyelitis	0.0529815
"child abuse"	0.0529411
abuse	0.0527509
poaching	0.0527091
"Hurricane Georges"	0.0526802
phenomenon	0.0524573
"back pain"	0.0520975
"kidney disease"	0.0519553
"heat wave"	0.0516186
spill	0.051556
mortality	0.0514997
retardation	0.0514735
))
("AIDS activist" (desc 2817.29) (sims
bisexual	0.129351
ethicists	0.105403
environmentalist	0.101167
feminist	0.0873158
picketers	0.0857056
clinician	0.0853021
"civic leader"	0.0820769
"labor union"	0.0818647
conservationist	0.0817372
"rock climber"	0.080891
"medical practitioner"	0.0797452
preservationists	0.0796836
"business leader"	0.0793031
"corporate executive"	0.0759099
hemophiliac	0.0757227
"government officials"	0.0754594
"labor leader"	0.0745802
leftist	0.0743878
Yazdi	0.0742659
Libertarian	0.0742536
educator	0.0733113
"bird watcher"	0.0724404
enterpreneurs	0.0713607
educationist	0.0712424
"social worker"	0.0694505
transsexual	0.068488
nutritionist	0.0675907
orthodontist	0.0672315
clergymen	0.0671102
"management expert"	0.0655817
"political leader"	0.0649341
"health professional"	0.0649335
"religious leader"	0.0648599
"trade unionist"	0.0648314
"tribal chief"	0.0640684
"business executive"	0.0627911
"church member"	0.062168
"AIDS patient"	0.0615982
"Internet Service Providers"	0.0612104
Muscovite	0.06111
herbalist	0.0606273
"Amnesty International"	0.0605403
businesspeople	0.0604613
linguist	0.0603376
protestor	0.0601028
"police lieutenant"	0.0600935
instrumentalist	0.059648
"union member"	0.0593293
"American Civil Liberties Union"	0.0592894
"interior decorator"	0.0588371
Cuban-Americans	0.0588294
congressmen	0.0585327
Arab-American	0.0583265
neo-Nazis	0.0581876
"social scientist"	0.0581677
chiropractor	0.058134
academician	0.0581337
internist	0.0580996
pacifist	0.058045
"union worker"	0.0580211
anarchist	0.0580172
"New York Civil Liberties Union"	0.0579546
policymakers	0.05792
policy-makers	0.057442
"Recording Industry Association of America"	0.0572342
shipper	0.0568455
statistician	0.0568144
loyalist	0.0565295
"civil rights leader"	0.0564554
moviemakers	0.0564045
"trade union"	0.0560755
"policy maker"	0.0560082
atheist	0.0556042
practitioner	0.0553608
jurist	0.0553285
"trial lawyer"	0.0545537
Industrialist	0.054546
transnationals	0.0544894
"military officer"	0.0544777
Clements	0.0543842
whistle-blowers	0.0543824
pharmacist	0.0543701
Ecuadoreans	0.0543116
"intelligence analyst"	0.0542381
clergy	0.0539218
heterosexual	0.0538105
"American Lung Association"	0.0537905
sociologist	0.0532997
transvestite	0.0532222
snakehead	0.0527181
decision-makers	0.0526143
"school principal"	0.0525914
demographer	0.0525527
philanthropist	0.05252
"business community"	0.0523407
zoologist	0.052313
parliamentarian	0.05211
"financial officer"	0.0520948
"real estate agent"	0.0520485
archeologist	0.0518001
traditionalist	0.0517746
petitioner	0.0516881
scalpers	0.0516754
"council member"	0.051621
"steel company"	0.0515318
"health care provider"	0.0514414
adoptees	0.051417
RIAA	0.0514002
statesmen	0.0513704
NAACP	0.0513532
literati	0.0512722
"Israeli Arabs"	0.0512192
campaigner	0.0510289
abuser	0.0509495
"economic expert"	0.0507582
"intelligence agent"	0.0507265
Montiel	0.0506918
"medical institution"	0.0505522
hotelier	0.0505354
"National Rifle Association"	0.0504429
"Planned Parenthood"	0.0502694
technologist	0.0500774
"currency trader"	0.0499852
"university student"	0.049927
well-wisher	0.0498431
epidemiologist	0.0497996
criminologists	0.0497696
"business organization"	0.0495778
agronomist	0.0494722
"legal expert"	0.0494665
officeholder	0.0494081
"political dissident"	0.0493451
"administrative official"	0.0493025
KKK	0.0491331
"film producer"	0.0491242
townspeople	0.0490108
"elected official"	0.0489599
"truck driver"	0.0489508
beekeeper	0.0489332
drugmakers	0.0488845
left-winger	0.048846
"market watcher"	0.048752
"public servant"	0.0487077
detractor	0.0486987
toxicologist	0.0486431
pediatrician	0.0486327
Klan	0.0485256
"military leader"	0.0485069
rioter	0.0484303
wrongdoer	0.0484192
functionary	0.0482878
lexicographer	0.0482729
personage	0.0482665
theologian	0.0481773
landowner	0.0481575
"registered nurse"	0.0481524
lobstermen	0.0481451
MP	0.0481154
serviceman	0.0480625
"police sergeant"	0.0480599
genealogist	0.0478569
"native American"	0.0478387
guerilla	0.0477066
"Wall Street analyst"	0.0477012
skinhead	0.0476664
hard-liner	0.0476112
theatergoer	0.047482
"American Medical Association"	0.047425
"senior citizen"	0.0472345
"Salvation Army"	0.0472104
Greenpeace	0.0471596
"art historian"	0.0471587
"art dealer"	0.0471497
rancher	0.0471464
"world leader"	0.0471101
"Secretary General Esmat Abdul-Meguid"	0.0470657
steelmaker	0.0470421
McMahon	0.0468662
"drug user"	0.0467775
cattlemen	0.0467143
Parisian	0.0463927
"Vin Scully"	0.046389
"Islamic Jihad"	0.0463574
TORTURER	0.0462707
fundamentalist	0.0461838
onlooker	0.0461811
"federal official"	0.0461012
"union representative"	0.0459459
medic	0.045923
"air force officer"	0.0459222
"labor movement"	0.0459194
neurologist	0.0457557
hardliner	0.0457175
steelworker	0.045709
"lending institution"	0.0456533
dignitary	0.0456219
diabetic	0.0455641
"Sam Rainsy"	0.0454067
Sinclair	0.0453984
Arizonan	0.0453865
))
("AIDS patient" (desc 9391.47) (sims
"drug addict"	0.142565
sufferer	0.128217
"foster child"	0.127196
homeless	0.125387
hemophiliac	0.12157
elderly	0.120904
needy	0.12026
poor	0.115575
patient	0.115401
"senior citizen"	0.115373
newborns	0.115161
centenarian	0.115032
diabetic	0.111227
"drug user"	0.109529
orphan	0.103815
uninsured	0.103589
"heroin addict"	0.100085
disabled	0.0966272
infant	0.0954951
abuser	0.0951844
addict	0.0949937
pensioner	0.0942859
affluent	0.0934847
aged	0.0933087
illiterate	0.092847
Filipino	0.0927219
leper	0.0906409
"Iranian POWs"	0.0904222
Beijingers	0.0889329
Tibetans	0.0855662
migrant	0.0849425
immigrant	0.0836022
alcoholic	0.0835863
"college student"	0.0833656
Haitian	0.0826565
smoker	0.0824648
inmate	0.0823526
Ugandan	0.0819456
retiree	0.0818726
"union member"	0.081359
laborer	0.0813053
Cambodian	0.080234
prostitute	0.0800316
VMs	0.0792463
urbanites	0.078971
wounded	0.078658
refugee	0.0782473
Liberian	0.0779518
Nepalese	0.0778855
"acquired immune deficiency syndrome"	0.0778676
enrollee	0.0777114
"cancer death"	0.0774907
dweller	0.0771378
Mexican	0.0770351
"political prisoner"	0.0769366
schoolchildren	0.0766649
Singaporean	0.0763223
laid-offs	0.0762367
Salvadoran	0.0758497
Nigerian	0.0749748
African-American	0.0748513
"home buyer"	0.0747141
"wage earner"	0.0747081
adult	0.0745677
"military personnel"	0.074504
Mozambican	0.0742772
Georgian	0.074123
Kenyan	0.0739242
"blood donor"	0.0739165
Angolan	0.073896
fatality	0.0738502
"university student"	0.0737884
Vietnamese	0.0736888
citizen	0.0735182
registrant	0.0735042
"Sri Lankans"	0.0734486
Zambian	0.0734333
policyholder	0.0731213
"industrial enterprise"	0.0726961
handicapped	0.0724509
youngster	0.0724215
offender	0.0719567
household	0.071754
postgraduate	0.0716784
homosexual	0.0715833
"family member"	0.0714841
servicemen	0.0714478
melanoma	0.0714367
adolescent	0.0712604
seminarian	0.0711863
Hispanic	0.0711824
Taiwanese	0.0705511
"Iraqi POWs"	0.0702684
prisoner	0.0701109
STDs	0.070061
Honduran	0.0700183
Ethiopian	0.0697052
"people of color"	0.0695205
"temporary worker"	0.0692923
"displaced person"	0.0691311
Zimbabwean	0.069103
miner	0.0690174
"farm worker"	0.0687895
foreigner	0.0687113
"church member"	0.0683975
claimant	0.0682501
deserter	0.068048
renter	0.0679486
"heroin addiction"	0.0678371
pupil	0.0677503
transient	0.0676809
villager	0.0672273
"milk cow"	0.0670796
baby	0.0670113
evacuee	0.0668573
Cuban	0.0665883
leukemia	0.0665137
Jew	0.066243
"giant panda"	0.0662385
sortie	0.0662085
Tanzanian	0.06608
"juvenile delinquent"	0.0660736
herdsmen	0.0658429
"sales outlet"	0.0657316
preschoolers	0.0654429
exhibitor	0.0654022
"union worker"	0.0652253
state-owned	0.065149
dropout	0.0649374
"sexually transmitted disease"	0.0649065
Bosnians	0.0648257
job-seekers	0.0647748
Iraqi	0.0646298
expatriate	0.0646178
Colombian	0.0643718
low-income	0.0643182
applicant	0.0642946
juvenile	0.0642165
emigrant	0.0641943
Ukrainians	0.0641413
Eritrean	0.0640705
detainee	0.0638265
subscriber	0.0637109
Iranian	0.063625
Californian	0.0636028
Gay	0.0635973
Indonesian	0.0633262
Lebanese	0.0632554
"married couple"	0.0631586
Iowan	0.0630715
enlistee	0.0629798
mainlanders	0.0627646
"medical institution"	0.0626591
medium-sized	0.0626343
shipper	0.0626199
Canadian	0.0625762
gambler	0.062494
"small farmer"	0.0624089
"South Koreans"	0.0621054
"mountain gorilla"	0.0620401
beneficiary	0.0619676
"health care provider"	0.0618792
"AIDS activist"	0.0615982
minority	0.0615263
"African Americans"	0.0614063
probationer	0.0613841
Egyptian	0.0612457
peasant	0.0611418
Navajos	0.0610139
civilian	0.060985
malignancy	0.060918
"business traveler"	0.0608804
inpatient	0.060399
"genetic disease"	0.0603952
conscript	0.0603585
"black woman"	0.0602195
"public servant"	0.060184
homeowner	0.0601801
Buddhist	0.060066
Nicaraguan	0.0600483
taxpayer	0.0599906
Jordanian	0.0599562
"motor vehicle"	0.0599181
parishioner	0.0598236
vacationer	0.0595686
"black person"	0.0594879
Alzheimer	0.059242
Aborigine	0.059239
inhabitant	0.0589424
undergraduate	0.058929
"job seeker"	0.0589157
Moslem	0.0586006
infection	0.0584263
grandparent	0.0584177
"South African"	0.0582555
"registered nurse"	0.0582275
Kuwaiti	0.0582205
"business executive"	0.0581823
lymphoma	0.0580623
Latino	0.0579736
))
("AIDS virus" (desc 11064.1) (sims
HIV	0.312862
virus	0.254385
"hepatitis B"	0.238118
"Human Immunodeficiency Virus"	0.194602
hepatitis	0.187789
syphilis	0.178273
malaria	0.167402
bacteria	0.16715
HIV/AIDS	0.166721
HIV-@	0.159986
bacterium	0.157349
tuberculosis	0.15622
"sexually transmitted disease"	0.15294
disease	0.152581
"West Nile"	0.15177
Tb	0.148433
germ	0.146283
influenza	0.145274
salmonella	0.145166
"Lyme disease"	0.143664
infection	0.140675
aids	0.139013
Hantavirus	0.137852
coli	0.136685
"foot-and-mouth disease"	0.136049
Rabies	0.133985
cholera	0.131729
polio	0.130197
"acquired immune deficiency syndrome"	0.128759
"dengue fever"	0.127987
encephalitis	0.125815
leprosy	0.125093
flu	0.123749
"colon cancer"	0.12015
gonorrhea	0.120142
anthrax	0.117556
canker	0.117276
listeria	0.116442
parasite	0.115326
Dengue	0.115196
herpes	0.112158
ebola	0.111632
"cancer cell"	0.111562
"infectious disease"	0.111284
Meningitis	0.110912
leukemia	0.110693
toxin	0.110535
smallpox	0.109652
"communicable disease"	0.109177
BSE	0.10684
"venereal disease"	0.104645
pandemic	0.102763
cancer	0.101546
pathogen	0.101244
"lung cancer"	0.101162
malignancy	0.101102
measles	0.100246
C	0.0991661
hemophilia	0.0987598
fungus	0.0981006
"genetic disease"	0.0964685
strain	0.0964261
microbe	0.0956897
plague	0.0956419
CJD	0.0953998
STDs	0.0945289
"skin cancer"	0.0941559
Chlamydia	0.0933885
antibody	0.0927758
"HIV/ AIDS"	0.0927261
melanoma	0.0924651
Alzheimer	0.0915351
dioxin	0.091288
rotavirus	0.0912547
"food poisoning"	0.0910526
typhoid	0.0910074
"multiple sclerosis"	0.0902867
O@@@:H@	0.0902568
illness	0.0888257
anemia	0.0885302
epidemic	0.0883533
rinderpest	0.0876918
diabetes	0.0870832
diarrhea	0.0870814
hypertension	0.0869982
"heart disease"	0.0855878
mutation	0.0837954
"typhoid fever"	0.0829704
tumor	0.0828743
bug	0.0828036
Gene	0.0827944
Dysentery	0.0812441
syndrome	0.0804804
"yellow fever"	0.0803458
"Parkinson's disease"	0.0802619
"cystic fibrosis"	0.0802087
Osteoporosis	0.0799153
"cardiovascular disease"	0.0799129
"animal disease"	0.0797882
disorder	0.0795834
"contagious disease"	0.0792164
"rheumatoid arthritis"	0.0784109
fever	0.078054
als	0.0760079
"high blood pressure"	0.0748705
dementia	0.074816
autism	0.0748058
cholesterol	0.0745078
ailment	0.0742291
asthma	0.0740485
"mental illness"	0.0740457
epilepsy	0.0736529
"muscular dystrophy"	0.0735674
pneumonia	0.0732491
botulism	0.0731324
enzyme	0.0726459
giardia	0.0720087
pest	0.0719411
"hepatitis A"	0.0714018
dioxins	0.0703315
"liver disease"	0.0696982
malnutrition	0.0689566
hormone	0.0688577
nandrolone	0.0682792
pox	0.0679437
defect	0.0678486
radiation	0.0678065
arsenic	0.0677564
"brain tumor"	0.0672864
trachoma	0.0663634
abnormality	0.066207
lymphoma	0.0660296
cryptosporidium	0.0657996
tetanus	0.0654476
radioactivity	0.0653669
"drug addiction"	0.0650556
"Creutzfeldt-Jakob Disease"	0.0645256
gangrene	0.0643288
contagion	0.0640272
Lyme	0.0633768
poison	0.063348
cell	0.0632134
T-cells	0.063187
testosterone	0.0631173
chemical	0.0630325
EPO	0.0629111
dyslexia	0.0626172
"heart failure"	0.0621448
microorganism	0.0619401
clenbuterol	0.0617372
blindness	0.0613073
worm	0.061183
impurity	0.0611184
contaminant	0.0609348
Parkinson's	0.0609113
organism	0.0603563
poliomyelitis	0.0602716
sickness	0.0600389
ADHD	0.060006
asbestos	0.0599969
fibrillation	0.0598421
contamination	0.0597627
schizophrenia	0.0597535
beetle	0.0593949
cirrhosis	0.059249
insulin	0.0591385
protein	0.0585644
steroid	0.0583344
angina	0.0582334
carcinogen	0.0581283
gallstone	0.0576178
"plant disease"	0.057617
"heart attack"	0.0575846
particle	0.0572039
"heart condition"	0.0571939
deficiency	0.0571162
diarrhoea	0.0571073
STD	0.0569418
estrogen	0.0569306
"tooth decay"	0.0569001
"carbon monoxide"	0.0568044
substance	0.0567784
arthritis	0.0567689
"blood cell"	0.0566053
"water hyacinth"	0.056507
allergen	0.0562993
Vaccine	0.0560969
pollution	0.0560961
Lice	0.0560319
pseudoephedrine	0.0560195
narcolepsy	0.0558824
bacillus	0.0558112
jaundice	0.0555193
MTBE	0.0553557
"drug problem"	0.0550268
"mental disorder"	0.0550259
fungi	0.0549903
"juvenile delinquency"	0.0548807
insect	0.054744
"white blood cell"	0.0546654
))
(AIG (desc 2774.89) (sims
Medtronic	0.168536
"Thermo Electron"	0.159833
"American International Group"	0.155098
Cendant	0.154609
TYCO	0.15138
Halliburton	0.150822
"HBO &AMP; Co."	0.148696
McKesson	0.14504
RJR	0.143483
Aetna	0.143363
"National Grid"	0.143341
CMGI	0.14236
Georgia-Pacific	0.142078
IDT	0.14002
UAL	0.139133
Vivendi	0.138054
Cablevision	0.137171
"News Corp."	0.136361
Starwood	0.135527
"Computer Associates"	0.133948
"Y&AMP;R"	0.133875
NORTHROP	0.133804
"GE Capital"	0.132924
Mannesmann	0.132062
Seagate	0.13111
AMR	0.129994
EMC	0.129059
Dresdner	0.127634
Aegon	0.126548
MetLife	0.126444
"Boston Scientific"	0.125176
Geron	0.1249
UTC	0.124563
"Tribune Co."	0.124465
Biogen	0.124146
MACROMEDIA	0.123939
"U.S. Trust"	0.123933
Bertelsmann	0.123255
SmithKline	0.122616
"Sara Lee"	0.121123
Publicis	0.120607
"Pacific Century"	0.120382
Pepsico	0.120083
AutoNation	0.119343
Delphi	0.118968
"RJR Nabisco"	0.118886
Allstate	0.117814
NatWest	0.117247
"Berkshire Hathaway"	0.117128
Cabletron	0.116905
"Times Co."	0.116879
Citigroup	0.116548
Enron	0.11651
Sunbeam	0.115734
Unilever	0.115272
Instinet	0.114629
"P&AMP;G"	0.114042
ALZA	0.113665
Equifax	0.113406
Healtheon/WebMD	0.113367
"Hongkong Telecom"	0.112911
GANNETT	0.112883
"True North"	0.112653
Viacom	0.112444
Daimler	0.112298
AXA	0.112149
Healtheon	0.112132
Gilead	0.11152
Nortel	0.11152
Marketspan	0.111509
LVMH	0.110926
ExciteAtHome	0.110783
UAM	0.110563
"Phelps Dodge"	0.110465
Berkshire	0.110173
REVLON	0.110072
"Deutsche Bank"	0.10995
"Chase Manhattan"	0.109745
Penney	0.108772
CUC	0.108342
Alltel	0.108123
"Hyundai Group"	0.107753
UBS	0.10748
E-LOAN	0.10732
VoiceStream	0.106745
VENATOR	0.106521
Conseco	0.106391
Genentech	0.106233
BofA	0.105976
"MCI WorldCom"	0.10589
BellSouth	0.105631
Omnicom	0.10556
ADM	0.105329
All-Tech	0.105177
Vulcan	0.104972
Corning	0.104904
SBC	0.104782
Terra	0.104694
MiniMed	0.104625
BankAmerica	0.104448
Broderbund	0.103952
Weyerhaeuser	0.103796
WebMD	0.103734
Deutsche	0.103681
"Chevron Corp."	0.103617
WorldCom	0.103259
PLDT	0.103205
EBRD	0.103191
Cisco	0.103165
Scientific-Atlanta	0.103103
"BP Amoco"	0.103051
HP	0.102681
"Singapore Airlines"	0.102632
Warnaco	0.102513
Litton	0.102483
"Aetna Inc."	0.102452
"Travelers Group"	0.102285
Heinz	0.102265
"Coca-Cola Co."	0.102256
Federated	0.102205
MindSpring	0.102136
Tenneco	0.101763
Seagram	0.101595
Cigna	0.101446
Goldman	0.101291
Novartis	0.101165
BASF	0.100827
"Coca-Cola Enterprises"	0.100816
SFX	0.10076
Dupont	0.100675
Norwest	0.100572
NiSource	0.100404
PaineWebber	0.100383
YankeeNets	0.100302
Hancock	0.100137
AHP	0.100092
Danka	0.100083
"Johnson &AMP; Johnson"	0.0999175
"France Telecom"	0.0996715
Primedia	0.0995733
Nabisco	0.0995283
"Silicon Graphics"	0.0995178
"Oracle Corp."	0.0992145
Emulex	0.0991504
Bristol-Myers	0.0990689
FPL	0.0990124
GEC	0.0988386
Vodafone	0.0988258
Interpublic	0.0986847
Monsanto	0.0986813
McCaw	0.0986479
Gillette	0.0985756
Texaco	0.0983122
Cargill	0.0983031
"Wells Fargo"	0.0979792
Lockheed	0.0974218
YPF	0.0974024
"American Home"	0.097219
iXL	0.0971216
"Bell Atlantic"	0.0969063
CCE	0.0968745
Akamai	0.0967277
BankBoston	0.0966791
"State Street"	0.0966107
Cadbury	0.0963777
Bestfoods	0.0962204
Gazprom	0.0961439
ENTERGY	0.0958928
Maytag	0.0950203
"Toys R Us"	0.0948541
Renault	0.0947519
"British Telecom"	0.0943111
Mattel	0.094207
CMG	0.0942039
"USA Networks"	0.0940629
NASD	0.0940366
Pitney	0.0940364
"United Technologies"	0.0937678
SGI	0.0936373
Checkfree	0.093528
Genzyme	0.0934107
Livent	0.0934054
HBOC	0.0933249
"Bear Stearns"	0.0932873
Roche	0.09328
"Burlington Northern"	0.0932771
"Ford Motor"	0.0932482
ARCO	0.0931939
COLTEC	0.0931288
RealNetworks	0.0931116
Webvan	0.0929505
"Global Crossing"	0.0928325
Warner-Lambert	0.0927899
Qwest	0.0926646
SDB	0.0924542
"Nortel Networks"	0.0924271
"International Paper"	0.0923944
Airtouch	0.0923375
Kroger	0.0923206
"Southern Co."	0.0922223
))
(Aiken (desc 1024.02) (sims
Spartanburg	0.163751
"Hilton Head"	0.141577
"Mount Pleasant"	0.123828
"Myrtle Beach"	0.123487
Gaffney	0.117591
Beaufort	0.0934378
Gadsden	0.0871628
Dillon	0.0835781
"Albany County"	0.0824127
Chester	0.0812229
Demps	0.0783793
Greenwood	0.0763064
Smithfield	0.0754906
maquiladoras	0.0746501
Conway	0.0728348
Seneca	0.0723329
SEABROOK	0.0715438
Napolitano	0.0691428
Singson	0.0680224
Wolfsburg	0.0679091
Greer	0.0654786
Margolis	0.0640427
Gutman	0.063822
Killeen	0.0623112
Poughkeepsie	0.0619568
Myhrvold	0.0619046
Ciampi	0.061147
SDS	0.0603344
Waxman	0.0597252
Jovanovic	0.0594585
"De Soto"	0.0592487
Ruthardt	0.0585623
Essen	0.0584709
Byrdsong	0.0582092
hough	0.0580343
Posner	0.0577329
Stacy	0.0577045
Jamestown	0.0575937
Warshaw	0.0572848
"Quebec City"	0.0571612
Barksdale	0.0570447
Rubenstein	0.0566248
Hackensack	0.0565637
Grunwald	0.056197
Kerasiotes	0.0559823
Kearin	0.0551987
Rodionov	0.0549533
Condit	0.0549047
LaPierre	0.0547899
DERSHOWITZ	0.0540958
Patel	0.0540712
Haines	0.0537144
DuBose	0.05327
Rudman	0.0531772
Schottenheimer	0.0529205
Jenoff	0.0528016
Andreessen	0.0526236
Zou	0.0522041
Eubanks	0.0521508
"Jasper County"	0.0519511
Allchin	0.0517687
Easley	0.0508879
Reimer	0.0507727
Dumas	0.0507112
Sheehan	0.0503645
Bloomfield	0.0501012
Lehrer	0.0497578
Kato	0.0497094
Huntington	0.0493783
Mortimer	0.0489784
Whyte	0.0489387
Nickerson	0.0488105
Merida	0.0488047
Kettering	0.0486671
Bolger	0.048519
Lambright	0.0484466
Bangor	0.0484312
Mahomes	0.0482659
Schmalensee	0.0482138
Verney	0.0479989
Ziegler	0.047902
Plattsburgh	0.0476697
"Labor office"	0.0476021
Uighurs	0.0475335
Dowd	0.0474038
Meier	0.0473549
Puebla	0.0472561
Baer	0.0472063
"Ocean City"	0.047163
Gullikson	0.0470744
Charlestown	0.04707
Fiorina	0.0469837
Saginaw	0.0467794
Rasmussen	0.0467196
Fernandes	0.0464825
"Cedar Rapids"	0.046189
Wildhorn	0.0461073
Sung	0.0460807
Hattiesburg	0.0460443
Tevanian	0.045995
Snead	0.0459422
"Mike Hargrove"	0.0456554
Remnick	0.0456438
Soares	0.0454944
"La Russa"	0.0454866
Harrick	0.045468
McManus	0.0454348
Ponciano	0.0452794
"Briton Greg Rusedski"	0.0452468
Holzman	0.0450857
Sanderson	0.0449822
Brunswick	0.0448699
Tait	0.0448032
Taufik	0.0447867
Mansfield	0.0446235
Skiles	0.0445917
Contreras	0.044366
Fuhrman	0.0442077
Montiel	0.0441482
Yoon	0.0441385
Tillman	0.0441178
Byrne	0.0439591
Dunne	0.0439372
Texarkana	0.043922
Lamberth	0.0439084
"East Boston"	0.043875
Harrigan	0.04387
Shipman	0.0436938
Loewen	0.0436541
Latham	0.0435773
Salisbury	0.0435588
D'Alessandro	0.0435364
Trujillo	0.0434322
"William S. Cohen"	0.0434133
Atkinson	0.0433502
Peterborough	0.0432225
Greco	0.043208
Rawabdeh	0.0431964
Pryor	0.0431414
Aliotti	0.0430978
Izmit	0.0430847
McNally	0.0430424
Pickering	0.0429924
Garfield	0.0429089
"welfare worker"	0.0427411
Lurie	0.0425081
Beaumont	0.0425032
Sheehy	0.04249
"West Orange"	0.0424583
Deane	0.0423705
Zogby	0.0423285
McMullen	0.042248
Caddell	0.0422155
Bridgewater	0.0422111
Rosenblatt	0.0421774
Calipari	0.0420931
Sununu	0.042029
Schenectady	0.0420165
Gdansk	0.0419628
Montalvo	0.0419389
Whiting	0.0419281
Tokaimura	0.0419224
O'Neil	0.0419204
Wannstedt	0.041838
Greenwald	0.041837
Weil	0.0417333
TDB	0.0417153
"Tim Floyd"	0.0417123
Polian	0.041711
Boyd	0.0415566
Darnell	0.0415485
McHugh	0.0414909
ASHEVILLE	0.0413436
Kurtz	0.0412475
Bismarck	0.0412274
Yarmila	0.0412022
Brazile	0.0411043
Flanagan	0.0410732
Farah	0.0410614
Asprilla	0.0409136
capella	0.0408639
Ito	0.040829
Wiatt	0.0408171
"Deep Blue"	0.0408092
Finkel	0.0408035
Weldon	0.0407506
Rowe	0.040693
Hartsburg	0.040672
Hoke	0.0406444
Keenan	0.0405935
Gullit	0.0405866
Majko	0.0405704
PALERMO	0.040562
Ames	0.0405326
Duffy	0.0403862
Metcalf	0.0403285
"Lee Hsien Loong"	0.0403085
al-Sahaf	0.0402391
Kumar	0.0401541
Dunlap	0.040151
))
(Aikman (desc 16994.4) (sims
"Troy Aikman"	0.247962
Brunell	0.171836
Bledsoe	0.165867
Testaverde	0.162204
Favre	0.157134
Plummer	0.15697
Elway	0.149643
"Drew Bledsoe"	0.14148
Kanell	0.140232
Irvin	0.137792
Weinke	0.135678
Marino	0.132918
Chandler	0.132458
Griese	0.131186
Kitna	0.12868
"Vinny Testaverde"	0.127589
McNown	0.127323
McNabb	0.126235
"Chris Chandler"	0.126098
Applewhite	0.125433
"Steve Young"	0.124702
McNair	0.124649
Paus	0.124548
Cunningham	0.122457
Flutie	0.1221
Manning	0.121801
Dilfer	0.119433
DeBerg	0.119243
Kealy	0.116817
Brees	0.116772
Vick	0.115754
Hasselbeck	0.115253
Huard	0.11502
"Carson Palmer"	0.113928
McCown	0.113313
"Van Raaphorst"	0.113017
Grbac	0.11257
"Dan Marino"	0.112495
"Jake Plummer"	0.111635
Garrett	0.110541
Brister	0.110067
"John Elway"	0.105649
Harbaugh	0.105438
"Mark Brunell"	0.104812
"Chris Weinke"	0.102886
McIver	0.102586
Palmer	0.102144
"Emmitt Smith"	0.100803
"Deion Sanders"	0.0988881
Warner	0.0973102
Bryant	0.0963158
Sanders	0.096154
"Doug Flutie"	0.0954753
Gailey	0.0953133
CORYATT	0.0948182
"Steve McNair"	0.0946059
"Brett Favre"	0.0945645
"Brad Johnson"	0.0937581
Blake	0.0929076
Pippen	0.0917783
Swann	0.0916366
Brady	0.0915525
Ewing	0.0913436
"Peyton Manning"	0.091164
Jagr	0.0891302
"Cade McNown"	0.0886775
Foley	0.0884666
"Jason Garrett"	0.0881232
Deion	0.0880878
"Jeff George"	0.087985
Johnson	0.0879086
Mirer	0.0874742
Barkley	0.0871091
smith	0.0862401
Kidd	0.0859944
"Kurt Warner"	0.0855812
Pederson	0.0854952
Ripken	0.0852135
Wohlers	0.0845071
Gretzky	0.0844721
"Bubby Brister"	0.0842798
Lett	0.0842625
Hundley	0.0842164
Emmitt	0.0831929
Stewart	0.0828896
McKnight	0.0826472
Lindros	0.0819321
"Michael Irvin"	0.0818215
"Kordell Stewart"	0.0815188
"Jon Kitna"	0.0814504
Vaughn	0.0809407
Elliott	0.0802326
Gannon	0.0797978
Iverson	0.0796335
"Randall Cunningham"	0.0793039
Hardaway	0.0786188
collins	0.0784785
"Trent Green"	0.0784138
Muckler	0.07841
"Ryan Kealy"	0.078057
"Warren Moon"	0.0780429
"Daryl Johnston"	0.0778788
Carter	0.0774482
Johnston	0.0773184
Cleaves	0.077253
McCann	0.0769742
"Larry Allen"	0.0767023
Mathis	0.076333
Jones	0.0761778
Alou	0.076158
Bourque	0.0760012
Kariya	0.0756349
Soward	0.0755457
Garcia	0.0753289
"Glenn Foley"	0.0749644
Messier	0.0747708
"Jeff Garcia"	0.0747082
Boller	0.0742757
Culpepper	0.0742287
"Kerry Collins"	0.0739867
Outzen	0.0739148
Davis	0.0736573
Galloway	0.0735465
O'Neal	0.0735326
"Joe Hamilton"	0.0734626
Williams	0.0734492
Tkachuk	0.0734267
Cassell	0.0732297
Tupa	0.0731859
Lucas	0.0730332
Bure	0.0729904
Marinovich	0.0729146
Bonilla	0.0728862
Anderson	0.0726856
Garciaparra	0.0726505
"Rodney Peete"	0.0726088
Olajuwon	0.0724823
Sprewell	0.0723343
Maradona	0.0722975
Roenick	0.0721247
Griffey	0.0718105
Knoblauch	0.0716758
Payton	0.0716365
quarterback	0.0715607
Graziani	0.0715193
O'Donnell	0.0715007
Thompson	0.0714926
"Van Exel"	0.0713603
"Ty Detmer"	0.071352
Audette	0.0712957
Saberhagen	0.0711548
Hasek	0.071137
Graham	0.0709256
"Charlie Batch"	0.0708339
Holmgren	0.0705891
Faulk	0.0704277
Sehorn	0.0701612
Oates	0.0700848
"Kent Graham"	0.0699438
martin	0.0698807
Larkin	0.0698681
Malone	0.0697834
Ismail	0.0697389
Reeves	0.0696417
Chmura	0.0695588
Stoudamire	0.0695255
"Tee Martin"	0.069474
Jenkins	0.0692237
crouch	0.0687776
"Elvis Grbac"	0.0686907
"Brian Griese"	0.0685668
"Chris Warren"	0.0685623
Zolak	0.0682319
DiSarcina	0.0682159
WARRICK	0.0681601
Moss	0.068092
Moore	0.0680664
Akers	0.0680521
"Terrell Davis"	0.067993
Gwynn	0.0679538
Bennett	0.0678593
Turgeon	0.0677667
"Leon Lett"	0.0675852
"Rob Johnson"	0.0674916
Finley	0.0674554
Troy	0.0674434
couch	0.0674295
Detmer	0.0670172
Odom	0.0667517
Galarraga	0.0666938
"Patrick Ewing"	0.066622
Fiset	0.0665401
Robinson	0.066449
"Tony Banks"	0.0662439
Dorsey	0.0662237
Nieuwendyk	0.0662082
Chrebet	0.0661736
Modano	0.0660934
Horry	0.0660626
"Tim Couch"	0.0660148
))
(Ailey (desc 2030.49) (sims
Balanchine	0.141834
"Martha Graham"	0.129124
"Paul Taylor"	0.114066
Bolshoi	0.107957
Forsythe	0.103279
"Ballet Theater"	0.100451
striptease	0.0944198
"Jerome Robbins"	0.0938087
Germanic	0.0937448
Limon	0.0888071
Robbins	0.084754
Durwood	0.0847407
flamenco	0.0832923
Hula	0.0812143
"modern dance"	0.0757066
Fosse	0.0750348
Cunningham	0.067923
"George Balanchine"	0.0673546
gentry	0.0657538
"chorus line"	0.0650136
Kulikov	0.0635782
ai	0.0630732
trapeze	0.0625604
"Dirty Bird"	0.0621025
Yarmila	0.0618017
Gathers	0.061485
Neff	0.0592749
"musical theater"	0.0578979
noone	0.0577596
Faison	0.0570123
YankeeNets	0.0564326
"Royal Ballet"	0.0557689
Jamison	0.0553008
Soares	0.054731
Dudayev	0.0547287
Opry	0.0543287
Blackman	0.0534567
Khomeini	0.0533626
Nijinsky	0.0524926
"City Ballet"	0.051642
improv	0.0508289
"Aaron Copland"	0.0506555
"Susan Stroman"	0.0504128
"classical ballet"	0.0503211
Fagan	0.0502344
look-alikes	0.0502198
Tilberis	0.0502072
vaudeville	0.0499773
"Miller Park"	0.0499284
Logue	0.0497206
krueger	0.0491238
Bourne	0.0488439
Escobar	0.0485961
Cobain	0.0485681
mime	0.048161
Ferragamo	0.0475354
Eameses	0.0474524
Byrdsong	0.0472115
Degas	0.0467513
Meier	0.0464441
Kyprianou	0.0460867
world-famous	0.0459797
Squier	0.0458649
"Walter Payton"	0.0454614
samba	0.0452645
Gerardi	0.045256
Ita	0.045242
Dunham	0.0452042
"song and dance"	0.0451357
beautician	0.0450986
Webdale	0.0450187
minstrel	0.044745
Biko	0.0446076
Masire	0.044602
Rowe	0.0445719
ISO	0.0445138
"John Kennedy Jr."	0.0444405
Ershad	0.0444363
Raduyev	0.0444144
Michelin	0.0442813
Castaneda	0.0442601
Havelange	0.0439952
"Martin Luther King"	0.0438275
Herron	0.0437233
Ishihara	0.0433919
"Jerry Garcia"	0.0433626
"folk art"	0.043334
Puente	0.0433166
Heade	0.0432406
Forty-two	0.0432185
Sibneft	0.0431501
Sealy	0.0428676
"Ernie Zampese"	0.0427679
"Ayatollah Khomeini"	0.0423746
Ellison	0.0423356
dot.com	0.0422964
Schaeuble	0.0422351
Shurmur	0.0421235
"JFK Jr."	0.042042
Tharp	0.0419492
Ringling	0.0416505
rumba	0.0411342
Plunkett	0.0409495
"Vince McMahon"	0.0408818
Nunn	0.0406529
"Michael Kennedy"	0.0405822
Afro-Cuban	0.0404815
mambo	0.0403865
Sinatra	0.0403017
Rideau	0.0402673
AUM	0.0401699
Pollock	0.0401694
ECW	0.040125
Beye	0.0400667
"more than ten"	0.0400171
))
(ailment (desc 32605.3) (sims
illness	0.283643
disorder	0.262577
disease	0.241871
infection	0.241815
pneumonia	0.230562
"health problem"	0.216215
asthma	0.205219
leukemia	0.205202
"heart disease"	0.196784
malady	0.19605
cancer	0.194723
syndrome	0.191496
diabetes	0.190909
arthritis	0.188529
"Parkinson's disease"	0.188246
"multiple sclerosis"	0.187536
"heart condition"	0.186946
symptom	0.185856
diarrhea	0.184058
"back pain"	0.183696
ulcer	0.182599
flu	0.181201
complication	0.17949
Osteoporosis	0.176853
"liver disease"	0.176189
emphysema	0.176094
anemia	0.17542
injury	0.175357
abnormality	0.171347
inflammation	0.170898
bronchitis	0.17012
"cardiovascular disease"	0.169861
"lung cancer"	0.169743
defect	0.168004
"congestive heart failure"	0.167983
hypertension	0.167445
dehydration	0.165176
"respiratory disease"	0.165071
"colon cancer"	0.164335
"heart failure"	0.163773
schizophrenia	0.163563
"high blood pressure"	0.161601
"food poisoning"	0.160948
fracture	0.157815
"rheumatoid arthritis"	0.156918
Depression	0.15477
fever	0.154374
"heart attack"	0.153317
"mental illness"	0.151691
hepatitis	0.151656
"kidney disease"	0.151367
"brain tumor"	0.150145
Meningitis	0.147951
problem	0.147921
malaria	0.14716
tuberculosis	0.146557
lymphoma	0.144929
sickness	0.144619
allergy	0.144363
"mental disorder"	0.143556
epilepsy	0.14228
fatigue	0.141773
Alcoholism	0.1411
pain	0.141092
cramp	0.139784
tendinitis	0.139524
dementia	0.139486
"blood clot"	0.139324
insomnia	0.138746
malnutrition	0.137374
headache	0.137231
Alzheimer	0.136072
osteoarthritis	0.1358
disability	0.135254
tumor	0.134132
"eye disease"	0.131749
"infectious disease"	0.130098
Obesity	0.129844
virus	0.129624
"skin disease"	0.128213
nausea	0.127754
dysfunction	0.127052
sprain	0.125519
influenza	0.125015
encephalitis	0.124328
Parkinson's	0.124249
impairment	0.123417
angina	0.123106
blindness	0.122606
spasm	0.121548
"chest pain"	0.121433
"side effect"	0.121349
"skin cancer"	0.120459
ache	0.120458
poisoning	0.11982
trauma	0.119808
deformity	0.119688
paralysis	0.119669
"neurological disease"	0.119637
strain	0.119287
condition	0.117707
soreness	0.11748
"neurological disorder"	0.116937
"cystic fibrosis"	0.116215
infertility	0.115594
retardation	0.115271
CJD	0.114944
hemorrhage	0.114885
cataract	0.113956
jaundice	0.113857
arrhythmia	0.113805
diarrhoea	0.113349
"heat exhaustion"	0.113202
wound	0.113182
Exhaustion	0.112804
stress	0.112726
deficiency	0.112573
"sore throat"	0.112009
"anxiety disorder"	0.111278
"genetic disease"	0.111133
"Lyme disease"	0.110941
autism	0.110913
glaucoma	0.109761
"manic depression"	0.109519
heartbeat	0.108911
stroke	0.10882
aneurysm	0.108746
ill	0.108441
abscess	0.108318
concussion	0.108031
bruise	0.107715
migraine	0.107437
damage	0.107427
lesion	0.107138
Tb	0.106834
affliction	0.105398
cold	0.105354
hemophilia	0.105199
"memory loss"	0.105167
lupus	0.104799
epidemic	0.104253
hypothermia	0.104143
melanoma	0.103673
irritation	0.102432
surgery	0.101415
cholera	0.10011
Addiction	0.0991373
"dengue fever"	0.0989026
trouble	0.0973008
swelling	0.0969566
discomfort	0.0969274
gastroenteritis	0.0961178
cirrhosis	0.0959042
dizziness	0.0951849
miscarriage	0.0950111
"common cold"	0.0947325
"hepatitis B"	0.09442
inhalation	0.0943971
"sexually transmitted disease"	0.09382
constipation	0.0935968
muscle	0.0934205
Distress	0.0933184
sore	0.0929785
HIV	0.0922793
seizure	0.0919169
failure	0.0917213
stiffness	0.0917078
measles	0.09131
ligament	0.0911168
"drug addiction"	0.0907436
"asthma attack"	0.0907097
"risk factor"	0.0906826
difficulty	0.0903332
weakness	0.089284
"cerebral palsy"	0.0890493
woe	0.0888378
impotence	0.0886519
als	0.087859
deafness	0.0869401
Dysentery	0.0868813
heartburn	0.0861704
groin	0.086026
contusion	0.0859253
hunger	0.0855423
syphilis	0.0854715
atherosclerosis	0.0852345
malformation	0.0851441
stomachache	0.0845274
shortage	0.0840654
malfunction	0.083591
"skin rash"	0.0835887
overdose	0.0832936
famine	0.0829728
BSE	0.0828188
starvation	0.0827928
"ill health"	0.08245
tightness	0.0823378
accident	0.0822251
vomiting	0.0820519
incontinence	0.0814933
))
(aim (desc 69536.5) (sims
objective	0.202165
purpose	0.131162
goal	0.117727
strategy	0.0991267
intention	0.0972853
priority	0.0967706
task	0.0950304
focus	0.0911732
agenda	0.0894448
principle	0.0875121
intent	0.0846438
plan	0.0820134
policy	0.0806339
view	0.0801927
theme	0.0787168
determination	0.0785976
support	0.0772279
framework	0.0768729
motive	0.0766371
desire	0.0764529
participation	0.0763827
hope	0.0758963
emphasis	0.0746099
Mission	0.0741353
mandate	0.0735648
pledge	0.0733503
need	0.0730845
effort	0.0728405
idea	0.0723793
commitment	0.0718071
ambition	0.0709977
wish	0.0704202
importance	0.0703207
target	0.070226
means	0.0693921
aspiration	0.0693483
measure	0.0686948
concept	0.0686163
initiative	0.068303
vision	0.0681567
success	0.0681167
promise	0.0679689
proposal	0.0679578
"basic principle"	0.0678268
responsibility	0.0670251
Implementation	0.0668543
thrust	0.0667013
element	0.0665124
outcome	0.066391
guideline	0.0655392
achievement	0.0654301
requirement	0.0651055
motivation	0.0649288
value	0.0647035
mechanism	0.0642979
step	0.0640004
result	0.0632209
development	0.0631547
assistance	0.0629742
program	0.0629171
approval	0.0628633
interest	0.0628607
solution	0.0627756
criteria	0.0627272
ideal	0.0625946
capability	0.0625408
endeavor	0.062126
method	0.0620706
belief	0.0620018
stance	0.0617532
approach	0.061707
reform	0.0614128
aspect	0.0605844
characteristic	0.060477
opportunity	0.0603975
funding	0.0603636
potential	0.059977
progress	0.0598029
significance	0.0597848
ability	0.0597148
spirit	0.0593523
philosophy	0.0593008
challenge	0.0591378
process	0.0590241
provision	0.0587582
continuation	0.0586802
role	0.0586797
planning	0.0585957
conclusion	0.0585642
timetable	0.0582243
action	0.0579057
project	0.0578374
understanding	0.0576416
rationale	0.0575163
obligation	0.0574617
backing	0.0574369
scope	0.0574083
prospect	0.057398
outline	0.0572611
necessity	0.0572365
consequence	0.0570978
parameter	0.0570839
investment	0.0569752
expectation	0.0567647
activity	0.0566626
reason	0.0566325
recommendation	0.0566056
effectiveness	0.0565782
demand	0.0561052
tool	0.0561031
concern	0.0560641
procedure	0.0560044
implication	0.0554993
function	0.0552489
cornerstone	0.0552304
cooperation	0.0551853
chance	0.0551698
resource	0.0550798
agreement	0.0549327
willingness	0.0549047
number	0.0548362
preparation	0.0546508
attempt	0.0544928
foundation	0.0543167
establishment	0.0542291
tactic	0.0540518
detail	0.0538118
structure	0.053802
government	0.0536714
theory	0.0535524
doctrine	0.0535274
possibility	0.0534985
phase	0.0534765
blueprint	0.0534435
accomplishment	0.0534063
participant	0.0533252
rule	0.0531489
topic	0.0530731
readiness	0.0530634
position	0.0530518
attitude	0.0530063
organizer	0.0529448
prerequisite	0.0528789
standard	0.0528152
meaning	0.0524975
option	0.0524581
benefit	0.0524155
impact	0.0523778
guarantee	0.05234
viewpoint	0.0522002
expansion	0.0521724
undertaking	0.0521596
strength	0.0521073
component	0.0520376
system	0.0520265
suggestion	0.0518195
threat	0.0515727
key	0.0515152
bid	0.0514882
arrangement	0.051466
ideology	0.0514099
precondition	0.0513639
sponsor	0.0512772
context	0.0511198
Declaration	0.0511049
stability	0.0511011
resolution	0.0510504
power	0.0510091
term	0.0510015
urgency	0.0509561
condition	0.0509545
contribution	0.0508352
knowledge	0.0507021
effect	0.0506895
presence	0.0506536
act	0.0506442
dream	0.0505073
consideration	0.0505028
factor	0.0504681
"foreign policy"	0.0504678
ways	0.0503844
completion	0.0503198
direction	0.0502337
notion	0.0502033
technology	0.0501537
decision	0.0501388
growth	0.0500274
membership	0.04971
timing	0.0496965
capacity	0.0496889
efficiency	0.0495642
subject	0.0495278
Promotion	0.0494973
criterion	0.0494619
centerpiece	0.0494609
nature	0.0494506
financing	0.0494296
impetus	0.0494164
exception	0.0493474
problem	0.0492891
))
(Ainge (desc 1027.57) (sims
Schmid	0.163987
Whitsitt	0.148921
Heinrichs	0.1459
Ebersol	0.143602
Gullikson	0.143349
Solich	0.142796
Moakley	0.1415
Rubenstein	0.140148
Donnan	0.136338
Solis	0.135603
Rahal	0.132449
Fleischer	0.132284
Sather	0.131614
Molinari	0.128681
Muckler	0.127734
beamer	0.127441
Zambrano	0.126337
Meissner	0.126004
Piot	0.125321
McCarron	0.125269
Krzyzewski	0.125144
Ganassi	0.125048
Finkel	0.12291
Ruehe	0.121904
Flanagan	0.121382
Evernham	0.120665
Lehane	0.120416
Geiger	0.120219
Popovich	0.11925
Schottenheimer	0.119213
Hartsburg	0.119135
hodgson	0.118545
Dungy	0.118356
Waxman	0.117943
Laudrup	0.117327
Verney	0.116898
Polian	0.116773
"La Russa"	0.116723
Auriemma	0.116592
Caddell	0.116586
Ditka	0.116503
Braswell	0.116415
Sahadi	0.116411
Goldin	0.116307
Talebi	0.115825
Hunsicker	0.115669
Okada	0.115585
Valenti	0.114393
Gorter	0.11399
Sapp	0.113229
ISSEL	0.113221
Gossage	0.112875
Tomey	0.112709
Guerra	0.112365
Kearin	0.112351
Calipari	0.110767
Tuberville	0.110669
Borbon	0.110417
Shoate	0.110009
Vogts	0.10965
McKinnon	0.1093
Beilin	0.109232
Dunleavy	0.108948
Farber	0.108801
McGinnis	0.10791
Bildt	0.107498
Butterworth	0.107188
Cowan	0.107143
Donohue	0.106974
Hargrove	0.106599
Jaffe	0.106467
Passarella	0.106384
Bodine	0.106239
Sherrill	0.10604
Herta	0.105688
Shays	0.10556
Ciampi	0.105234
McCurry	0.105184
Troussier	0.10485
Gogel	0.104767
Robson	0.104567
Jeffers	0.104139
Wilkens	0.103854
Fassel	0.10382
Wolfson	0.103488
Ponciano	0.103463
Kessler	0.103239
Babcock	0.102528
"administration official"	0.102372
Beckwith	0.102228
Mandella	0.102165
Waddell	0.102075
Rothenberg	0.102043
Kuehne	0.1019
Prewitt	0.101876
Andreychuk	0.101869
Guthridge	0.101769
Inman	0.101296
Reiner	0.100837
Brandt	0.100802
Bettman	0.100691
Monson	0.100578
Azinger	0.100462
Cronkite	0.100263
Driscoll	0.100175
Boyle	0.100045
Azizah	0.0998537
Whipple	0.0994273
McGuinness	0.0991998
Skiles	0.0991705
"Dave Campo"	0.0991661
Engelberg	0.0990415
Campo	0.098669
Hanna	0.0983315
Patel	0.0982967
Rossotti	0.0981039
Rosenthal	0.0980021
TALBOT	0.0977384
Insulza	0.097545
Paxon	0.0975307
Milbury	0.0975293
Kauffman	0.097331
Gauthier	0.0970422
frist	0.0969738
silber	0.0963055
Menard	0.096301
Nickerson	0.0957519
Aventajado	0.0957103
Ebbers	0.0955788
MURTHA	0.0951884
Siazon	0.0951717
Jacquet	0.0950121
D'Alessandro	0.0948057
Lowry	0.0947632
Hoddle	0.0947215
Ftorek	0.0945749
Foudy	0.0943178
Manley	0.094303
Rendell	0.0941886
Summitt	0.093815
Ratliff	0.093724
Schoenfeld	0.0936122
Cashman	0.0933593
Duffy	0.0932811
Rudenstine	0.0932265
DiCicco	0.0931325
Cremins	0.093054
Herron	0.0929616
Bustamante	0.0927366
GAGE	0.0926471
Weisman	0.0922054
Tagliabue	0.0917245
Dewine	0.0916432
Havelange	0.0915487
Begala	0.0913605
Ruggiero	0.0912649
Garces	0.0912245
Hartley	0.0911452
Bowden	0.0911223
Eizenstat	0.0909263
Atler	0.0907035
Mandelson	0.090662
Davie	0.0905742
Feuer	0.0905617
Ritter	0.0904845
Grbac	0.090472
Galvin	0.0904053
Hauser	0.0902127
Harmoko	0.0900551
Kennard	0.0900314
Rongen	0.0899637
Lampkin	0.089884
Zou	0.089711
Bratton	0.0896441
Andretti	0.0893714
Allard	0.0893601
Jacobsen	0.0892834
McDOWELL	0.0890064
Hickman	0.0889912
Chadwick	0.0889014
Doggett	0.0888506
Shamshad	0.0888166
Wald	0.0886916
Singson	0.0886509
Stoudamire	0.0884135
Donahue	0.0882663
Cowher	0.0881975
Fuhrman	0.0881649
Morgenthau	0.0881567
Copeland	0.0881034
Moonves	0.0880612
Leyland	0.0880596
Grossman	0.0880287
Aliotti	0.0878319
Garcetti	0.0878245
Zuckerman	0.0877534
Sommer	0.0876065
Crenshaw	0.0875497
Rutherford	0.0875353
Nadler	0.087525
))
(air (desc 197469) (sims
water	0.140404
atmosphere	0.128175
Sky	0.127025
"air mass"	0.119514
wind	0.118872
moisture	0.112893
cloud	0.106501
breeze	0.0999142
weather	0.0988499
soil	0.0942977
sea	0.0934586
gas	0.0900094
smoke	0.0867262
sunshine	0.0859524
temperature	0.0854765
space	0.0831267
fog	0.0809612
heat	0.0797319
"high pressure"	0.0794721
oxygen	0.0792231
ocean	0.0783599
Thunderstorm	0.07783
rain	0.077768
environment	0.0775409
sense	0.0770002
traffic	0.0767086
area	0.0761831
blood	0.075913
river	0.0757984
snow	0.075736
shower	0.0757275
light	0.0753675
dust	0.0751448
aura	0.0749703
"cold front"	0.0745046
land	0.0738602
road	0.0732557
ICE	0.0728833
humidity	0.0728725
smog	0.0720457
ground	0.0712696
sunlight	0.0704666
plane	0.0702938
storm	0.070264
darkness	0.0700638
"air pollution"	0.069856
hand	0.0697232
street	0.069664
climate	0.069264
sand	0.0689435
rail	0.0686538
car	0.0679082
flight	0.0672569
bus	0.0671042
Haze	0.0665588
mountain	0.0663715
pollution	0.0662747
food	0.0658426
waterway	0.0657515
disturbance	0.0655423
train	0.0655003
fume	0.0651229
earth	0.0647961
crowd	0.0643758
lake	0.0641984
front	0.0641769
"drinking water"	0.0639002
field	0.0638368
tree	0.0637844
feeling	0.0632607
stream	0.062942
condition	0.0628057
line	0.0625824
ship	0.0625121
life	0.0624139
boat	0.061908
mist	0.0618812
face	0.0613863
room	0.0613264
noise	0.0612023
oil	0.0610971
helicopter	0.0610042
zone	0.0606479
mood	0.0601314
fire	0.0597179
fluid	0.0596501
fuel	0.0596369
place	0.05948
energy	0.0594447
forest	0.0593048
sun	0.0589986
surface	0.0589892
chill	0.0589138
flow	0.0588201
cold	0.0587488
building	0.058739
truck	0.0587075
wood	0.0585858
show	0.058583
Liquid	0.0581954
system	0.0581073
level	0.0580629
grass	0.0580157
warmth	0.0578618
breath	0.0575522
flame	0.0575386
television	0.0573912
market	0.0572682
tank	0.0569315
voice	0.0566434
sound	0.0566047
beach	0.0564564
wall	0.0561384
TV	0.0561382
mixture	0.0558883
smell	0.0558833
highway	0.0555917
mind	0.0555622
floor	0.0555164
screen	0.0555122
dirt	0.0554853
mud	0.0554236
image	0.0554211
quality	0.055297
wave	0.0552201
airplane	0.0551834
airspace	0.0549725
radiation	0.0549115
arm	0.0548441
house	0.0548037
"water supply"	0.054642
it	0.0545158
element	0.0545103
emission	0.0543929
feet	0.0543516
kind	0.0543005
waste	0.0542221
world	0.0541106
chemical	0.0540669
airport	0.0540564
day	0.0537688
odor	0.0537648
particle	0.0533035
people	0.0532892
scene	0.0532183
electricity	0.0531417
gasoline	0.0531181
tone	0.0529146
altitude	0.0529007
ball	0.0528691
force	0.0528335
material	0.0527972
window	0.0527456
city	0.0527383
home	0.0526667
route	0.0526623
"carbon dioxide"	0.052405
landscape	0.0523961
direction	0.0523597
eye	0.052354
neighborhood	0.0522966
territory	0.0520901
supply	0.0520402
spirit	0.0520092
park	0.0519949
time	0.0519682
debris	0.0519617
current	0.0519336
vehicle	0.0518557
service	0.0518323
track	0.0517851
shelf	0.0516653
body	0.0515017
Garbage	0.0514811
politics	0.0514378
plant	0.0513887
culture	0.051277
flavor	0.0510594
site	0.05104
steam	0.050997
valley	0.0509628
region	0.050962
desert	0.0509542
some	0.0509508
terrain	0.0509116
color	0.0508732
look	0.0508322
rainfall	0.0507858
pool	0.0507199
moment	0.0507181
pipeline	0.0507085
rock	0.0506999
Internet	0.0506252
cloth	0.0505243
Sewage	0.0504389
hair	0.0502789
state	0.050049
power	0.0499468
strike	0.0499307
effect	0.049923
))
("air attack" (desc 14120.4) (sims
"air raid"	0.315157
bombardment	0.253703
airstrikes	0.241113
airstrike	0.218307
"military action"	0.201036
raid	0.18842
"military campaign"	0.169916
bombing	0.167383
aggression	0.163878
strike	0.162483
shelling	0.154563
offensive	0.153256
"ground attack"	0.153229
attack	0.148214
assault	0.144617
onslaught	0.13025
invasion	0.122912
"surprise attack"	0.115069
"military mission"	0.112238
incursion	0.110259
crackdown	0.107929
intervention	0.107714
blockade	0.106266
"war game"	0.106131
"air power"	0.103171
"bombing run"	0.103109
embargo	0.0988196
warplanes	0.0978401
counterattack	0.097039
atrocity	0.0962657
ambush	0.0948822
barrage	0.0946671
missile	0.0914322
manoeuvre	0.0902608
repression	0.0901325
reprisal	0.0885389
fighting	0.0883431
bloodshed	0.0876868
purge	0.0848551
cleansing	0.0841615
artillery	0.082952
"arms race"	0.0825791
sanction	0.0822942
sortie	0.081117
hostility	0.0810218
deployment	0.0807204
walkout	0.0802676
"bomb blast"	0.0799363
maneuver	0.0796916
provocation	0.0795003
"military force"	0.0789882
"Operation Desert Fox"	0.0787158
"artillery fire"	0.07785
massacre	0.0760773
buildup	0.0756984
"work stoppage"	0.0756699
airlift	0.0755894
takeover	0.0750149
slaughter	0.0749101
killing	0.0741185
manhunt	0.0739718
Execution	0.0736485
retaliation	0.073478
bomb	0.0731638
firing	0.0730637
"legal action"	0.0729747
warfare	0.0727743
boycott	0.0725731
blitz	0.0723792
rioting	0.0723064
looting	0.0719774
counter-offensive	0.0719328
sickout	0.0718881
siege	0.0717728
"rate cut"	0.0716617
warplane	0.0716381
abduction	0.0713321
agitation	0.071294
unrest	0.0712475
violence	0.0711431
"trade embargo"	0.0709288
clash	0.0709264
occupation	0.0704943
escalation	0.0703065
skirmish	0.0701908
"expansion plan"	0.0701179
"nuclear explosion"	0.070038
"coup attempt"	0.0693824
kidnapping	0.0691067
pullout	0.0688186
putsch	0.0686675
cutback	0.0686178
NATO	0.0681348
spraying	0.0678693
explosion	0.0678238
protectorate	0.0675025
"merger talk"	0.0669972
destruction	0.0668273
imposition	0.066785
interference	0.0665945
enlargement	0.066531
harassment	0.066424
terrorism	0.0663995
bloodbath	0.066179
coup	0.0657783
encroachment	0.0657457
"North Atlantic Treaty Organization"	0.0657021
deportation	0.0656107
confrontation	0.0654255
eviction	0.0652483
expansion	0.0649214
clampdown	0.0649041
brutality	0.0645533
rampage	0.0644144
patrol	0.0642145
conflagration	0.0636936
"price war"	0.0635448
"mortar fire"	0.0634776
diplomacy	0.063372
eruption	0.0632248
demolition	0.0631625
reshuffle	0.0629198
"hunger strike"	0.0629072
firepower	0.062823
gunfire	0.0627579
mutiny	0.0626187
"budget cut"	0.0625986
expulsion	0.0625027
combat	0.0623807
shutdown	0.0622696
riot	0.0621801
rebellion	0.0621749
"policy change"	0.0619121
"air defense"	0.0617773
persecution	0.0616972
Privatization	0.06163
detention	0.0615594
"rate rise"	0.0614289
Quake	0.061259
assassination	0.0612205
selloff	0.0610614
uprising	0.0608947
"heat wave"	0.060876
"civil war"	0.0606428
downpour	0.0605872
"rate hike"	0.060505
evacuation	0.0602979
famine	0.0602063
bloodletting	0.0601325
seizure	0.0600143
casualty	0.0600125
catastrophe	0.0597605
genocide	0.0595959
flare-up	0.0592809
"job cut"	0.0591556
"cluster bomb"	0.0591096
sell-offs	0.0590628
layoff	0.0590277
devaluation	0.0588703
hijacking	0.0587823
outbreak	0.0585271
closure	0.0584146
"price cutting"	0.0581645
logging	0.0580751
insurgency	0.0579951
"military drill"	0.0579896
aerial	0.0579123
"naval forces"	0.0578871
repatriation	0.0578349
spree	0.0577995
landslide	0.0576691
mudslide	0.0575273
turmoil	0.0572836
contagion	0.0571813
excavation	0.0571713
inspection	0.0569141
"rate increase"	0.0568936
"marketing effort"	0.0567538
"interest rate increase"	0.0567039
temblor	0.0566781
"bank withdrawal"	0.0565769
carnage	0.0565542
blackout	0.0564962
"marketing campaign"	0.0563953
infiltration	0.0563575
filibuster	0.0562285
exhumation	0.0560864
"car bomb"	0.0559227
insurrection	0.0556999
demonstration	0.0555199
"mass murder"	0.0554731
"intelligence operation"	0.0552525
defection	0.0552291
pullback	0.0550534
dumping	0.05493
withdrawal	0.0548479
gunship	0.0546621
"New Wave"	0.0546275
retrenchment	0.0545743
targeting	0.0544736
))
("air bag" (desc 18478) (sims
airbags	0.29642
"seat belt"	0.175045
brake	0.165157
"automatic transmission"	0.136645
"power steering"	0.135229
air-conditioning	0.133215
"cruise control"	0.122858
tire	0.112609
"suspension system"	0.111778
reverser	0.111661
headrest	0.109193
gearbox	0.108901
headlight	0.106061
wheel	0.10282
"safety feature"	0.101099
"catalytic converter"	0.0980226
engine	0.0974679
"steering wheel"	0.0952496
"bucket seat"	0.0950018
"safety belt"	0.0946603
changer	0.0932648
ABS	0.0915026
"sliding door"	0.0914718
conditioning	0.0905871
sensor	0.0898439
sunroof	0.0897237
stereo	0.0878383
motor	0.0870955
"outside mirror"	0.0870548
"alarm system"	0.0867298
wiper	0.086438
defroster	0.0832781
windshield	0.082676
"audio system"	0.0823555
fender	0.0818892
"diesel engine"	0.0818722
"control system"	0.0816697
steering	0.0816206
device	0.0815358
heater	0.0811149
conditioner	0.0810808
occupant	0.0788704
automatic	0.0776221
"landing gear"	0.0769694
sprinkler	0.0749793
"gas tank"	0.0725222
interceptor	0.0721446
implant	0.0720763
"sound system"	0.0711829
exhaust	0.0711677
equipment	0.0696259
"electric motor"	0.0691227
"electrical system"	0.0688331
valve	0.0684839
GPS	0.0684095
legroom	0.068375
dashboard	0.0680651
bumper	0.0680358
battery	0.067684
avionics	0.0669799
axle	0.0669007
"brake system"	0.0667176
"security system"	0.0667027
mirror	0.0663766
tether	0.0658507
transmission	0.0657944
chassis	0.0655439
"fuel cell"	0.0653339
detector	0.0652444
"car seat"	0.0652261
generator	0.0650543
window	0.064868
"license plate"	0.0648492
"windshield wiper"	0.0643877
"nuclear warhead"	0.0643594
spoiler	0.0638676
armrest	0.0634593
seatbelt	0.0633815
Projector	0.0633777
V@	0.0632303
laser	0.0629812
"smoke alarm"	0.0623984
modem	0.0621973
beam	0.061908
"X-ray machine"	0.0618173
antenna	0.0614971
asbestos	0.0614747
NMD	0.0612258
"cluster bomb"	0.0606171
air-conditioner	0.0606101
"nuclear weapon"	0.0605849
transmitter	0.0605391
"motor vehicle"	0.0597534
"stereo system"	0.0597133
"sprinkler system"	0.059505
upholstery	0.0593566
"explosive device"	0.0593512
firearm	0.0591646
seating	0.0591548
filter	0.0589379
CDMA	0.0589351
reversers	0.0585907
Vaccine	0.0585488
alarm	0.0582538
software	0.0581424
"land mine"	0.0579492
"cellular phone"	0.0577347
ignition	0.0575921
rudder	0.057467
traction	0.057315
microprocessor	0.057233
parachute	0.0571508
automobile	0.056965
"flat tire"	0.0568312
"CD player"	0.0567641
"electronic device"	0.0560042
Tyre	0.0559322
S-@@@	0.0555677
microchip	0.0546932
floorboard	0.0543738
V-@	0.0543522
"jet engine"	0.0543288
firecracker	0.0542716
"traffic light"	0.0536014
scanner	0.0535215
"car bomb"	0.0533241
"engine failure"	0.0532291
propeller	0.05316
dummy	0.0531133
radar	0.053072
"rocket engine"	0.0529103
"computer program"	0.052886
console	0.052799
warhead	0.0527919
missile	0.0525218
harness	0.0524478
wheels	0.0523796
helmet	0.0523488
suspension	0.0522834
recorder	0.0521336
appliance	0.0520197
V-chip	0.0518184
chip	0.0517168
"electronic equipment"	0.0516404
camera	0.0513051
sonar	0.0511428
defibrillators	0.0510337
belt	0.0509756
"automatic teller machine"	0.0509466
munition	0.0508574
furnace	0.0504753
tank	0.0503129
grille	0.0501949
button	0.0501777
burner	0.0501344
"circuit breaker"	0.0500016
driving	0.049907
insulation	0.049901
"shock absorber"	0.0498225
ventilation	0.0497361
vent	0.0495306
"pipe bomb"	0.0494819
headroom	0.0493549
kit	0.0493016
horsepower	0.0492967
"heating system"	0.0491722
fastener	0.0491303
"fire alarm"	0.048971
"booster rocket"	0.048889
roof	0.0488649
Lighting	0.048812
processor	0.0487986
restraint	0.0486857
"fire extinguisher"	0.048672
hardware	0.0486256
"hearing aid"	0.0484113
emission	0.0482098
thruster	0.0481959
"communication system"	0.0481102
pesticide	0.0480009
Encryption	0.0479903
therapy	0.0477581
explosive	0.0475887
instrumentation	0.0475853
radiation	0.0475325
goggles	0.0474642
"safety lock"	0.0473995
ADSL	0.0473655
USB	0.0473538
"light bulb"	0.0472707
"cooling system"	0.0471799
insurance	0.0469534
"weapons system"	0.0468657
"ventilation system"	0.0468166
"missile defense system"	0.0467752
module	0.0467708
accelerator	0.0466656
molding	0.0465171
pricing	0.0464947
mechanism	0.0460058
))
("air base" (desc 28096.4) (sims
airbase	0.296047
base	0.173232
airfield	0.150965
airstrip	0.14621
airport	0.141101
Aviano	0.127908
"army base"	0.125643
"Andrews Air Force Base"	0.116884
barrack	0.111806
Incirlik	0.110716
airspace	0.0992866
"Fort Hood"	0.088556
"military installation"	0.0874095
depot	0.0873981
"military headquarters"	0.0873137
port	0.0863059
village	0.0822618
garrison	0.0819307
town	0.0800693
checkpoint	0.0784219
embassy	0.0783937
"command post"	0.0761024
"Heathrow Airport"	0.0752239
"Kennedy Airport"	0.0742088
refinery	0.0742035
"oil refinery"	0.0739902
"railway station"	0.0739541
resort	0.0736121
stronghold	0.0734642
seaport	0.0733463
headquarter	0.0720349
"John F. Kennedy International Airport"	0.0719974
factory	0.0708934
"power station"	0.0708764
camp	0.0708371
"Kennedy International Airport"	0.0707831
"military post"	0.0706535
"police station"	0.0706426
"Miami International Airport"	0.0706414
warplanes	0.0703796
heliport	0.0701759
"power plant"	0.0697531
Kisangani	0.0694286
"Hartsfield International Airport"	0.0691493
outpost	0.0691456
"Hong Kong International Airport"	0.0691215
consulate	0.0669801
hideout	0.0668245
"Kennedy Space Center"	0.0659639
Hartsfield	0.0659465
"Entebbe International Airport"	0.0657621
"Los Angeles International Airport"	0.0656471
complex	0.0654762
"Macao International Airport"	0.0652141
"military hospital"	0.0651238
"Air Force"	0.0651099
"Newark International Airport"	0.0648065
facility	0.064416
"Logan International Airport"	0.0641176
shipyard	0.0630754
residence	0.062509
Brazzaville	0.0617196
"industrial park"	0.0611623
"Dulles International Airport"	0.0608124
hangar	0.0606647
island	0.0605435
"U.S. Embassy"	0.0605164
compound	0.0603717
"navy base"	0.0600336
highway	0.0598633
prison	0.0597378
Monastery	0.0595803
"Fort Campbell"	0.0592953
border	0.0590919
"Kai Tak"	0.0589685
Heathrow	0.0583898
"military position"	0.0583803
Kandahar	0.0583687
"Elephant Pass"	0.0577532
"air defense"	0.0575801
hospital	0.0575777
warplane	0.0572995
ranch	0.0572766
terminal	0.0572618
palace	0.0570223
township	0.0570143
warship	0.0563208
"polling station"	0.0557995
zone	0.0553278
Freetown	0.0552455
"small town"	0.0552157
runway	0.0551191
aircraft	0.0546728
cemetery	0.0546347
"aircraft carrier"	0.0546119
hotel	0.0544757
"staging area"	0.054283
territory	0.0539931
"Kuala Lumpur International Airport"	0.0539309
Goma	0.0537963
Dulles	0.0534973
Warehouse	0.0534017
dock	0.0532937
"military force"	0.053097
harbor	0.0527476
"railroad station"	0.0527187
"landing strip"	0.0527164
Asmara	0.0526136
suburb	0.0525406
Tripoli	0.0524307
"community center"	0.0524143
"territorial water"	0.052412
patrol	0.052336
"conference center"	0.0522361
Kindu	0.0522121
hub	0.0521098
enclave	0.0519771
Castle	0.0519214
Tuzla	0.0518942
Halifax	0.0517362
helicopter	0.0516952
Istanbul	0.0516152
location	0.0515846
mine	0.0512947
Mazar-e-Sharif	0.0512897
farm	0.0510131
campground	0.0507351
"nuclear reactor"	0.0507085
railway	0.0506936
"naval forces"	0.0499938
bridge	0.0498565
gunboat	0.0498103
"bus stop"	0.0497416
"train station"	0.0496857
squadron	0.0496632
headquarters	0.0496382
gunship	0.0494292
Katmandu	0.0493859
peninsula	0.0492881
Beirut	0.0490763
"manufacturing plant"	0.0490606
"field hospital"	0.0489157
"diplomatic mission"	0.0487865
Guam	0.048675
fighter-bombers	0.0486215
hilltop	0.048465
jail	0.0484444
Macedonia	0.0483794
Bukavu	0.0482842
junction	0.0479044
installation	0.0478478
"Wye Plantation"	0.0477409
"Olympic Park"	0.0474519
"bus terminal"	0.0473926
Kabul	0.0472942
mosque	0.0470879
Jaffna	0.0469779
dam	0.0468813
mountain	0.0468659
reservoir	0.0467705
servicemen	0.046745
Amman	0.0467204
incinerator	0.046657
orphanage	0.0466227
smelter	0.0465906
"Saudi Arabia"	0.0461895
estate	0.0461553
stadium	0.0459939
landfill	0.045971
campus	0.045851
Sevastopol	0.0458357
"Presidential Palace"	0.0457924
"about @@ kilometers"	0.0457284
Newark	0.0456595
"South Pole"	0.0456395
BUDAPEST	0.0454735
"surface-to-air missile"	0.0454537
Khartoum	0.045439
"Fort Dix"	0.0453809
destination	0.0453019
"patrol boat"	0.0452159
F-@@s	0.0451485
crossing	0.0450942
Kuwait	0.0450613
Manila	0.0450195
"pumping station"	0.0447598
submarine	0.04463
"steel mill"	0.0446269
"military unit"	0.0446075
Gulf	0.0446008
"Gorges Dam"	0.0445593
Bahrain	0.0445098
bomber	0.0444578
"Cape Canaveral"	0.0444562
missile	0.0444401
"gas station"	0.0443673
convoy	0.0443609
"shopping center"	0.0442895
Convent	0.0442769
BOGOTA	0.0442721
))
("air bubble" (desc 989.476) (sims
"ice crystal"	0.121172
droplet	0.114043
impurity	0.112639
"data file"	0.0925799
hyphen	0.0826986
clot	0.0800911
olestra	0.0786227
CFCs	0.0735437
sacs	0.0725423
"utility program"	0.0701634
Radon	0.0700955
plankton	0.0698857
contaminant	0.0691968
semicolon	0.0691355
"fire wall"	0.0688973
"electric current"	0.0684022
"evil spirit"	0.0682198
bends	0.0666703
"electronic database"	0.0666123
Andreychuk	0.0663882
Sultanate	0.065888
diode	0.0657444
gasket	0.0656577
granule	0.0654655
nitrogen	0.0651999
spore	0.0646129
"hot air"	0.0644053
"blind spot"	0.0643795
wrongdoer	0.0643618
sediment	0.0642875
circuitry	0.0642165
vapor	0.0640989
indentation	0.0639697
microorganism	0.0638391
condensation	0.0637686
flopping	0.0636552
PCBs	0.0634734
speck	0.0633622
dampness	0.0632988
"moral hazard"	0.0629978
incision	0.0623459
cryptosporidium	0.0617844
"guessing game"	0.0613245
chlorine	0.0610716
clotting	0.0609261
Ouattara	0.0607656
"cumulus cloud"	0.0602879
algae	0.0601828
student-athlete	0.0601262
larvae	0.059929
inaccuracy	0.0594027
whistle-blowers	0.0591371
sac	0.0588242
capsaicin	0.0587918
Dumpsters	0.0586645
"Phoenix Mercury"	0.0585951
lockbox	0.0585283
"first CD"	0.0584431
"two kilometers"	0.0579197
"radio transmitter"	0.0575733
"water vapor"	0.0574126
transistor	0.0571043
imperfection	0.0565238
"sphere of influence"	0.0560294
macro	0.0556022
"test-tube baby"	0.0553829
hyperlinks	0.0551506
toxin	0.0550494
McGreevey	0.0549982
"oil slick"	0.0549021
fluoride	0.0546205
Trulock	0.0541358
"life form"	0.0539119
salinity	0.0538309
isotope	0.0537931
capillary	0.0537077
"paramilitary organization"	0.0536352
heavens	0.0536076
verbiage	0.0535682
"blood vessel"	0.0532387
ephedra	0.0531686
Kony	0.0531131
trespasser	0.0529116
"Stan Collymore"	0.0528228
helium	0.0525841
"M&AMP;Ms"	0.0525366
electioneering	0.0522034
"embryonic cell"	0.0520045
Hemlock	0.0519947
pollen	0.051921
giardia	0.0516865
"blood cell"	0.0515412
SP	0.0515238
"Iranian POWs"	0.0515077
microbe	0.0510897
raindrop	0.0509853
paintbrush	0.0509828
"blood clot"	0.0506911
downdraft	0.0504807
blob	0.0503136
weevil	0.050289
"coca crop"	0.0501295
rhizome	0.0501028
"cancer cell"	0.0499652
pellet	0.0498299
radioactivity	0.0497844
tremolite	0.0497116
"spring water"	0.0496897
MTBE	0.0495748
blockage	0.0494679
gland	0.0493698
markup	0.0492721
"fatty acid"	0.0492029
"National Gambling Impact Study Commission"	0.0487865
particulates	0.0486475
encampment	0.0485619
"contagious disease"	0.0483684
"gray whale"	0.048346
redundancy	0.0483096
"chemical compound"	0.0483001
principality	0.0481777
"sperm whale"	0.0481746
"sense of direction"	0.0481154
fissure	0.0479795
straggler	0.0479617
"free radical"	0.047912
spectrometer	0.0477779
prong	0.0476451
rainwater	0.0476231
"shipwreck survivor"	0.0475625
"cash crunch"	0.0475528
phosphorus	0.0474721
kernel	0.0472753
commotion	0.0472433
"price fluctuation"	0.0471466
"boarding pass"	0.0471367
"marine animal"	0.0471006
"trade barrier"	0.0470797
"foot-and-mouth disease"	0.0469969
"dollar sign"	0.0469482
chromium	0.0468707
"three schools"	0.0468143
bomblets	0.0466711
gasses	0.0466014
"marketing cost"	0.046568
filament	0.0465645
shockwaves	0.0465324
trachoma	0.0465184
divot	0.0464457
cask	0.0464395
nematode	0.0464284
snowflake	0.0464147
gallstone	0.0463201
"parade ground"	0.0463156
wretch	0.0463048
"minke whale"	0.0462779
sawdust	0.0462097
manhole	0.0461562
Counsell	0.0461535
"death tax"	0.0460088
leprosy	0.045941
fireball	0.0458865
"chemical agent"	0.0458647
nozzle	0.0457903
IOU	0.045697
"cargo area"	0.0454702
disincentive	0.0454648
snowpack	0.0454221
Americorps	0.0453881
puddle	0.0453779
"ray of light"	0.0453602
clitoris	0.0453054
cyst	0.045284
electron	0.0452528
coolant	0.0452119
leviathan	0.0451937
smallpox	0.0451748
"mug shot"	0.0450795
"sonic boom"	0.0449318
"conference table"	0.0449171
talc	0.0449107
"Fred Brathwaite"	0.0448823
"space capsule"	0.0448455
"lymph node"	0.0447494
Lice	0.0446311
harder	0.0446115
"body of water"	0.0446038
binder	0.0445299
quark	0.0444523
"inner tube"	0.0442635
"polar bear"	0.0442512
duplication	0.0442326
Astroturf	0.0442253
ion	0.0440483
methane	0.0439402
"child welfare agency"	0.0439374
curacao	0.0438736
noncombatant	0.0438474
bandana	0.0437522
letup	0.0436792
))
("Air Canada" (desc 6089.47) (sims
"Cathay Pacific"	0.206684
"British Airways"	0.194185
Qantas	0.192023
Lufthansa	0.191173
"United Airlines"	0.190102
"US Airways"	0.187138
"Air China"	0.175935
"El Al"	0.175764
Ansett	0.175149
"America West"	0.174612
"Air France"	0.168821
"American Airlines"	0.16621
TWA	0.16568
"Northwest Airlines"	0.163456
"Cathay Pacific Airways"	0.161568
Swissair	0.160632
"Korean Air"	0.159046
Aeromexico	0.157162
NiSource	0.156352
AIRTRAN	0.151671
NatWest	0.151124
"Kenya Airways"	0.151117
"South African Airways"	0.148284
ENTERGY	0.147857
KLM	0.146921
"Delta Air Lines"	0.145654
Asarco	0.144986
"Singapore Airlines"	0.144224
"Reno Air"	0.142823
UAL	0.140471
"Royal Bank"	0.138687
Litton	0.137229
Comsat	0.136464
"National Grid"	0.136415
"Phelps Dodge"	0.134674
COLTEC	0.134671
"Trans World Airlines"	0.134133
"Thai Airways International"	0.133538
"Southwest Airlines"	0.13136
Biman	0.130643
"Air India"	0.130218
"Japan Airlines"	0.130065
AMR	0.129631
RJR	0.12861
McKesson	0.128108
delta	0.126564
Dragonair	0.126411
Qwest	0.12502
Mannesmann	0.12487
Cathay	0.124725
JAL	0.124273
"Thai Airways"	0.123708
VENATOR	0.123432
EgyptAir	0.123105
"China Airlines"	0.12271
"Gulf Air"	0.122224
continental	0.12211
Seagram	0.122089
SmithKline	0.122086
ALZA	0.120482
"Telecom Italia"	0.120246
Iberia	0.119535
"Continental Airlines"	0.119132
ascend	0.117221
"Thermo Electron"	0.116177
"Alaska Airlines"	0.116118
Totalfina	0.11568
"U S West"	0.114965
Aeroflot	0.114962
"U.S. Trust"	0.114849
Cendant	0.114711
Warner-Lambert	0.114545
Airtouch	0.114236
Avondale	0.113612
JAT	0.112843
XYLAN	0.112605
"Global Crossing"	0.112149
"American Home"	0.111951
USAir	0.111666
Fedex	0.111633
BCE	0.110955
Alcan	0.110911
WPP	0.110883
"Burlington Northern"	0.110413
Aetna	0.110113
Alcoa	0.109992
"Bank of Scotland"	0.109889
Daimler	0.109875
"Philippine Airlines"	0.109533
TYCO	0.109487
ARCO	0.109451
"Times Co."	0.10926
"KCP&AMP;L"	0.109125
Northpoint	0.108812
airline	0.108755
"American eagle"	0.108614
"P&AMP;G"	0.1083
"Wells Fargo"	0.108143
Paribas	0.107999
"Banque Nationale"	0.107996
Tenneco	0.107489
Healtheon	0.106805
Varig	0.106698
Sunbeam	0.106658
Asda	0.106624
Vodafone	0.106415
"Fred Meyer"	0.106314
SkyTel	0.106226
"Sara Lee"	0.105418
"Bausch &AMP; Lomb"	0.105189
Ba	0.104505
GTE	0.104233
Terra	0.104199
"America West Airlines"	0.103978
"Times Mirror"	0.103879
Omnipoint	0.103608
Lilco	0.103602
Astra	0.103176
"Rite Aid"	0.103078
"Indian Airlines"	0.103073
Emulex	0.102996
Viacom	0.102965
Humana	0.10285
Norwest	0.102751
Glaxo	0.102269
Viag	0.102179
"Newport News"	0.101925
"Total Fina"	0.101846
EarthLink	0.10172
MCI	0.101651
WebMD	0.101593
Bestfoods	0.101437
YPF	0.101314
IDT	0.101089
Warnaco	0.100663
VoiceStream	0.100615
"UAL Corp."	0.100578
Nabisco	0.100363
"Niagara Mohawk"	0.100327
Ciena	0.100315
"Ethiopian Airlines"	0.0998444
Honeywell	0.0995423
"MCI WorldCom"	0.0994003
"HBO &AMP; Co."	0.0993377
"Canadian Airlines"	0.0989845
"Deutsche Telekom"	0.0987529
NTT	0.0987071
WorldCom	0.0981276
"Learning Co."	0.0978713
"Waste Management"	0.0977827
"Pacific Century"	0.0967735
Transamerica	0.0958132
"Y&AMP;R"	0.0957245
Mediaone	0.095659
LVMH	0.0953124
NTL	0.0951661
Comair	0.0947519
LTCB	0.0944157
Genzyme	0.0942793
GANNETT	0.093983
Monsanto	0.0938358
Alitalia	0.0937978
Eurotunnel	0.0936893
"BP Amoco"	0.0936647
WELLPOINT	0.0934942
"British Aerospace"	0.0932371
Unicom	0.0931632
BellSouth	0.0929978
NORTHROP	0.0929619
"Bell Atlantic"	0.0928638
"Computer Associates"	0.0924967
AutoNation	0.0922747
cn	0.0917366
Genentech	0.0916474
TELLABS	0.0916433
AlliedSignal	0.0913883
"Cox Communications"	0.0913472
"Air New Zealand"	0.0905054
Infoseek	0.090499
Federated	0.0904982
ExciteAtHome	0.0904356
"RJR Nabisco"	0.0903503
"Societe Generale"	0.090341
BofA	0.0899365
"Berkshire Hathaway"	0.0896379
Asa	0.0895951
SBC	0.08917
Olivetti	0.0890769
Pfizer	0.0889973
Sabena	0.0889431
"Union Carbide"	0.0889287
Lycos	0.0887634
"Bay Networks"	0.0882551
Hoechst	0.08816
Alltel	0.0881095
TCI	0.0876974
Peapod	0.0873075
Livent	0.0872435
"Pan Am"	0.0871695
"Delta Airlines"	0.0871672
))
("Air China" (desc 4144.59) (sims
"China Southern Airlines"	0.261561
KLM	0.234401
"Air France"	0.216166
"China Eastern Airlines"	0.214035
"British Airways"	0.206173
EgyptAir	0.198575
"Cathay Pacific"	0.19805
"El Al"	0.195984
"Korean Air"	0.195863
Aeroflot	0.194495
Iberia	0.186486
"United Airlines"	0.182344
Lufthansa	0.181135
"Japan Airlines"	0.178945
Sabena	0.178623
"Southwest Airlines"	0.178615
"Air Canada"	0.175935
Swissair	0.173045
"Cathay Pacific Airways"	0.17201
"Kenya Airways"	0.17197
"Singapore Airlines"	0.16123
"Delta Airlines"	0.157571
"Alaska Airlines"	0.156631
"South African Airways"	0.152285
"Gulf Air"	0.148525
Qantas	0.148205
Biman	0.146836
"Thai Airways International"	0.144103
Dragonair	0.144065
"US Airways"	0.144051
TWA	0.141298
"Ethiopian Airlines"	0.141221
"Vietnam Airlines"	0.139442
"Air India"	0.139155
"American Airlines"	0.137151
"Thai Airways"	0.135114
"Delta Air Lines"	0.129423
Alitalia	0.128993
JAT	0.12896
"Continental Airlines"	0.128211
"Philippine Airlines"	0.127498
"Turkish Airlines"	0.124072
AIRTRAN	0.123478
"Malaysia Airlines"	0.123279
delta	0.120825
"American eagle"	0.120719
"China Unicom"	0.120361
"Industrial and Commercial Bank of China"	0.11955
"Trans World Airlines"	0.117754
"Indian Airlines"	0.117264
"America West"	0.11558
Aeromexico	0.114871
Garuda	0.112071
"Air Lanka"	0.109344
"Agricultural Bank of China"	0.108622
"Northwest Airlines"	0.108127
"China Airlines"	0.100235
"Reno Air"	0.100142
"Construction Bank of China"	0.0988847
JAL	0.0984389
continental	0.0976665
Comair	0.097387
"China National Petroleum Corporation"	0.0973725
"China Construction Bank"	0.0972619
"Virgin Atlantic"	0.0971473
USAir	0.0962501
Fedex	0.0961494
UAL	0.0940697
Cathay	0.0925177
"KLM Royal Dutch Airlines"	0.0896982
"Pan Am"	0.0885604
CNOOC	0.0880597
"China Telecom"	0.0875414
"Civil Aviation Administration of China"	0.0870051
ICBC	0.0867969
Eximbank	0.0867926
Ansett	0.0864718
CCB	0.0856339
"Air Line Pilots Association"	0.0849479
"MCI Worldcom Inc."	0.0837033
"State Development Bank"	0.0832892
"Star Alliance"	0.0832166
"Bank of China"	0.0828719
"Bell Atlantic Corp."	0.0823529
"UAL Corp."	0.0818203
"Eastern Airlines"	0.0804297
SAA	0.0801901
BOC	0.0797574
"People's Bank of China"	0.0793908
COSCO	0.0780978
"Legend Group"	0.0765251
Asa	0.0746879
DC-@@	0.0741199
MEA	0.073788
"Visa International"	0.0736348
"State Administration of Foreign Exchange"	0.0735686
"Indian Air Force"	0.0735626
JetBlue	0.0730665
"Canadian Airlines"	0.0729701
Omnipoint	0.0722394
Airlines	0.0722346
"China Securities Regulatory Commission"	0.0718714
"China Youth Development Foundation"	0.0715378
Siemens	0.0710543
"Federal Express"	0.0705192
"Ministry of Information Industry"	0.0700278
Ana	0.0699391
"Airbus A@@@"	0.0691809
"Agriculture Ministry"	0.0691011
Varig	0.0689444
"U.S. Air Force"	0.0688837
"Allied Pilots Association"	0.0683073
Ba	0.0677924
"Royal Air Force"	0.0675472
"T Corp."	0.0672037
CNPC	0.0671151
SDB	0.066954
"NTT DoCoMo"	0.0665572
SAS	0.0665044
Unicom	0.0660336
A@@@-@@@	0.0655864
"Bank of Communications"	0.0651877
"McDonnell Douglas"	0.0645662
Ericsson	0.0641048
Amtrak	0.0640688
"Sprint PCS"	0.0639471
CPAFFC	0.0630321
Airbus	0.0629576
Concorde	0.0629191
"Hearst Corporation"	0.0622926
"Hong Kong Monetary Authority"	0.062196
"SBC Communications Inc."	0.0620333
"Federal Reserve Bank of New York"	0.0619358
"Air New Zealand"	0.0618132
"America West Airlines"	0.0617942
emirate	0.0615642
Qwest	0.0613328
"municipal government"	0.0611866
"Global Crossing"	0.0608926
MCI	0.0606166
"State Development Planning Commission"	0.0602259
"Ministry of Geology"	0.0602246
Pertamina	0.0601423
Embraer	0.0601355
FAA	0.0599673
Mig	0.0598419
Ltd	0.0597628
"MCI WorldCom"	0.0596435
"Airbus Industrie"	0.0595547
IAF	0.0589206
Citibank	0.058696
"Sprint Corp."	0.0585036
"International Association of Machinists"	0.0583094
"Chinese Olympic Committee"	0.0580776
GTE	0.0577775
CITIC	0.0576773
Walgreens	0.0576315
"State Education Commission"	0.0573585
HKFA	0.0571017
"Home Ministry"	0.0570025
"Cuban American National Foundation"	0.0564296
GPU	0.0563756
"All-China Federation"	0.0562104
"United Parcel Service"	0.0560128
"Ministry of Railways"	0.0558667
"Ministry of Public Security"	0.0556779
ATC	0.0554631
Barneys	0.0551804
Verizon	0.0551222
"Defense Agency"	0.0551028
SIA	0.0547011
Cablevision	0.0546646
WebMD	0.0546336
"WorldCom Inc."	0.0543685
"Beijing University"	0.0542633
DC-@	0.0541669
"Qinghua University"	0.0541581
Priceline	0.0540592
PICC	0.0538625
"Shanghai Branch"	0.0537575
Comcast	0.0535744
ValuJet	0.053558
"Ministry of Education"	0.0534964
"blue angel"	0.0534909
"China Council"	0.053237
PictureTel	0.053138
"U.S. Soccer Federation"	0.0530095
"Ministry of Foreign Trade and Economic Cooperation"	0.0528291
"Cox Communications"	0.0527688
SSE	0.052756
CAAC	0.0527363
MindSpring	0.0525753
"Computer Associates"	0.0524739
widebody	0.0523636
"International Brotherhood"	0.0523078
"transit authority"	0.0522283
"Liberty Media"	0.0521943
"Russian Space Agency"	0.0521341
Healtheon	0.0518784
"travel agency"	0.0518703
))
("air current" (desc 2946.44) (sims
"cold front"	0.149295
"ocean current"	0.14572
updraft	0.126665
"air mass"	0.120948
"warm front"	0.106762
breeze	0.101921
"jet stream"	0.0951984
"trade wind"	0.0891315
disturbance	0.0837131
airflow	0.0835581
"high pressure"	0.0776526
"cold wave"	0.0766405
moisture	0.0761545
"atmospheric condition"	0.0747222
downdraft	0.0721035
"La Nina"	0.0718485
"low pressure"	0.0711994
"spring water"	0.070801
"relative humidity"	0.0699172
"cold spell"	0.0696215
"low temperature"	0.0690023
heatwave	0.0686232
gust	0.067676
raindrop	0.0671956
cloudiness	0.0666031
"electric current"	0.0663006
"high temperature"	0.064365
"solar radiation"	0.0640923
"sonic boom"	0.0630334
"weather conditions"	0.0623993
"magnetic field"	0.0623771
"rain shower"	0.0620885
downpour	0.0593889
"hot air"	0.0592336
sandstorm	0.0590387
humidity	0.0584592
"pirate ship"	0.0581624
"dog bite"	0.0576492
"sea breeze"	0.0575289
gale	0.0566455
precipitation	0.0553287
floodwater	0.0550651
Snowfall	0.054739
Chemo	0.0544122
"cash crunch"	0.0540238
plume	0.0540022
squall	0.0537299
"dust storm"	0.0530327
trough	0.0528707
crosswind	0.0525779
"sea level"	0.0525755
"air pressure"	0.0523032
warming	0.0522503
spillage	0.0520171
"hot flash"	0.0516414
overexposure	0.0514043
sleet	0.0508839
sunlight	0.0504989
"foreign direct investment"	0.0498745
rollovers	0.0496252
"engine failure"	0.0490693
"solar wind"	0.0490471
Springs	0.0489965
melting	0.0488973
"beam of light"	0.0483327
"liquidity problem"	0.0480316
brownout	0.0478928
"power failure"	0.047667
condensation	0.0476492
"sound wave"	0.0471472
fire-fighter	0.0471401
"Tar River"	0.0470804
"heat wave"	0.0470339
"price fluctuation"	0.0469981
floodwaters	0.0468298
"bank failure"	0.0468202
"good weather"	0.0467167
snowstorm	0.046417
"water table"	0.0463597
"investor confidence"	0.0461932
contagion	0.0461785
"form letter"	0.0461174
clime	0.0458199
mist	0.045804
magma	0.045467
"chain reaction"	0.0454464
canker	0.0454421
"Hurricane Andrew"	0.0454139
"human activity"	0.0451157
monies	0.0449692
"high tide"	0.0449132
"employment report"	0.0449017
tugboat	0.0448146
"hot weather"	0.0446004
depletion	0.0445619
"crop failure"	0.0444816
"Albanian Kosovars"	0.0440646
"chemical reaction"	0.0439975
Thunderstorm	0.043882
turbulence	0.0438064
vibes	0.0437754
processional	0.0436638
mutation	0.0433998
"water vapor"	0.0433982
"Hurricane Bonnie"	0.043296
sunburn	0.0430085
"cream puff"	0.0429687
estrogen	0.0429587
provincialism	0.0429138
monsoon	0.0425278
"employment growth"	0.0425158
"Hurricane Dennis"	0.0423534
marksmanship	0.0423385
send-off	0.0422296
"cold snap"	0.042141
shockwaves	0.0419961
presure	0.0419166
reverberation	0.0418164
"oil slick"	0.0417611
dinghy	0.0415361
foul-up	0.0414121
firestorm	0.0413255
"Cliffs Notes"	0.0411681
dampness	0.041143
electron	0.0410508
kph	0.0410095
build-up	0.0409304
"storm cloud"	0.0409019
disorientation	0.0408924
"brain drain"	0.040753
"space capsule"	0.0407298
tailwind	0.0406992
"census taker"	0.0405829
"moral hazard"	0.0405342
dribbling	0.0403703
ruckus	0.0403561
rafts	0.040202
"surface ship"	0.0401298
neutrino	0.0401054
mudslide	0.0400528
Typhoon	0.0400223
))
("air defense" (desc 12505.4) (sims
"surface-to-air missile"	0.16603
artillery	0.157487
"military installation"	0.134861
"military capability"	0.129971
"military position"	0.124556
radar	0.12383
infantry	0.120872
"oil refinery"	0.119147
missile	0.107051
airfield	0.106964
warplanes	0.10555
"military force"	0.101745
"Air Force"	0.0997113
"electronic warfare"	0.0995376
"military vehicle"	0.0981374
gunship	0.0962512
armor	0.092835
"Republican Guard"	0.0922444
"command post"	0.0918293
IRGC	0.0888874
"military unit"	0.0881493
troop	0.087523
tank	0.0867579
depot	0.0866451
military	0.0864144
"heavy weapon"	0.0846603
infrastructure	0.0825572
weaponry	0.082535
refinery	0.0804736
"power grid"	0.080109
army	0.080083
"security force"	0.0798318
reconnaissance	0.0784697
armament	0.0775841
SA-@	0.0774559
MiG-@@	0.077314
"traffic control"	0.0771966
"defense system"	0.0770935
guerrilla	0.0767706
"artillery unit"	0.0766023
"oil pipeline"	0.0762725
logistics	0.0754639
warship	0.0753008
navy	0.0752272
interceptor	0.0749981
AWACS	0.074619
surveillance	0.0738395
"armed forces"	0.0736357
"power station"	0.0734116
"military police"	0.0732976
avionics	0.0728721
"military post"	0.072371
"National Guard"	0.0721307
"chemical warfare"	0.0718518
"spy satellite"	0.0713484
installation	0.0713296
ICBM	0.0707881
refining	0.0691464
airspace	0.0687975
"electrical system"	0.0686802
transformer	0.068636
"observation post"	0.0685693
"weapons system"	0.0678774
"transportation system"	0.0676982
barrack	0.0672013
submarine	0.0670428
"data processing"	0.0670292
"air power"	0.0668974
bomber	0.0666194
fighter	0.0664964
aviation	0.0663364
IDF	0.0660778
launcher	0.0654362
"pumping station"	0.0648949
destroyer	0.0645519
helicopter	0.0641348
battery	0.0641133
"police force"	0.0639843
civilian	0.0639372
gunner	0.0634985
"North Vietnamese"	0.0634425
patrol	0.0633999
aircraft	0.0632116
NATO-led	0.063164
MiG-@@s	0.0631453
"intelligence operation"	0.063124
"flood control"	0.0629015
"ballistic missile"	0.0628398
"Yugoslav Army"	0.0626509
convoy	0.0624833
"army base"	0.0624657
"air attack"	0.0617773
warplane	0.0617608
Brigade	0.0617172
navigation	0.0616256
defence	0.0614267
"patrol boat"	0.0613065
airforce	0.060852
SLA	0.0608384
"air-to-air missile"	0.0607593
paratrooper	0.0606732
patrolling	0.0605807
UNIFIL	0.0596997
fighter-bombers	0.0596993
sniper	0.0596036
"artillery fire"	0.0595707
militia	0.0594797
shipbuilding	0.0593632
"secret police"	0.05914
peacekeeper	0.0590213
militant	0.0588465
"Marine Corps"	0.0586734
"power plant"	0.058435
"rocket launcher"	0.0584122
communication	0.0583175
gunboat	0.0577518
"air base"	0.0575801
detection	0.0575544
"naval forces"	0.0573424
"Islamic Revolution Guards Corps"	0.0571438
"communications network"	0.0563246
"transmission line"	0.0560885
"fighter aircraft"	0.0560746
"nuclear weapon"	0.0559091
"telephone exchange"	0.0556282
F-@@	0.0555749
howitzer	0.0555461
"border patrol"	0.055346
policemen	0.0553433
UPDF	0.0551881
"personnel carrier"	0.055145
sonar	0.0550536
Hezbollah	0.0547487
"Saddam Hussein"	0.0545728
KLA	0.0543058
commando	0.0541463
"biological warfare"	0.0541375
transmitter	0.054123
sewerage	0.0538825
pipeline	0.0536478
"civil defense"	0.0533047
shelling	0.0532948
"Slobodan Milosevic"	0.053259
Scud	0.0532429
capability	0.053097
mortar	0.0530218
"aircraft carrier"	0.0528507
garrison	0.0527762
IFOR	0.0527463
"air raid"	0.0524641
KFOR	0.05245
Serbs	0.0524332
"oil production"	0.0519673
"information system"	0.0518482
PKK	0.051837
transportation	0.0516267
substation	0.0515902
"army tank"	0.0515832
"control system"	0.0515707
warfare	0.0515573
"Interior Ministry"	0.0513024
"fiber optic cable"	0.0510453
"law enforcement"	0.0506852
"passenger train"	0.0506315
"early warning system"	0.0505993
"power line"	0.0504862
battalion	0.0502693
"electrical power"	0.0502093
terrorist	0.0501228
"Coast guard"	0.0500692
"regular army"	0.0500441
"mortar fire"	0.0500251
"surface ship"	0.049916
GPS	0.0495856
intranet	0.0493481
bunker	0.049284
IAF	0.0491381
militiamen	0.0491174
attacker	0.049061
"South Lebanon Army"	0.0490493
"Revolutionary Guards"	0.0489178
telecommunication	0.0488939
SFOR	0.0487896
intelligence	0.0487253
torpedo	0.0485798
ECOMOG	0.0485051
RRA	0.0484833
dumps	0.0484361
"North Korean"	0.0484015
aggression	0.0483794
"telephone system"	0.0483324
stronghold	0.0482949
marine	0.0482897
railway	0.0482862
fleet	0.0480452
paratroops	0.0480438
frigate	0.0479156
"electric power"	0.0477782
"computer network"	0.047774
"guided missile"	0.0476974
))
("air duct" (desc 1152.72) (sims
"emergency exit"	0.0965464
"French door"	0.0923316
skylight	0.088396
"brain stem"	0.0857836
molding	0.0838236
"car door"	0.0775656
wainscoting	0.0733442
duct	0.069926
"sprinkler system"	0.0687195
"water tank"	0.0684907
clothesline	0.0674764
"heating system"	0.0666238
"electrical system"	0.0666156
jamb	0.0660126
entrails	0.0647664
paneling	0.0626661
"coffee bar"	0.061941
radiator	0.0614683
flooring	0.0589033
gallbladder	0.0584573
roofing	0.057436
"Suddenly Susan"	0.0567757
flatware	0.0565775
air-conditioning	0.0558517
attics	0.0556826
"gas stove"	0.0556013
"fire extinguisher"	0.0552784
MS-DOS	0.0551013
"hearing aid"	0.0547366
tarpaulin	0.0543657
earplugs	0.0540671
OS/@	0.053893
"alarm system"	0.0534484
offal	0.0533631
siding	0.053137
tailgate	0.0527583
denture	0.051812
Solaris	0.0515372
"telephone booth"	0.0511742
handrail	0.0505784
"window frame"	0.0503996
baseboard	0.049921
malformation	0.0496152
GRIDDLE	0.049564
"sliding door"	0.0495247
ramekins	0.0489281
mezzanine	0.0487944
"power steering"	0.048684
armoire	0.0486242
"coronary artery"	0.0479716
carpeting	0.0476534
potty	0.0475752
"drinking fountain"	0.0465986
"air filter"	0.0464783
"light bulb"	0.0463725
"floor plan"	0.0460476
"sewer line"	0.0457235
ICS	0.0456042
"good word"	0.0449461
"sewing machine"	0.0449418
"drainage system"	0.0448501
curler	0.0448495
"tape player"	0.0446532
"pedestrian bridge"	0.0445554
alcove	0.0444443
"X-ray machine"	0.044354
earpiece	0.0442609
"shower curtain"	0.04425
"extension cord"	0.0442347
casing	0.043968
joist	0.0439503
countertop	0.0438993
awning	0.043896
"life raft"	0.0438173
truncheon	0.043815
prong	0.0435576
hyphen	0.0433692
pillowcase	0.0429468
sinus	0.0428751
"lymph node"	0.0423483
latrine	0.0423254
Stinger	0.0422873
fastener	0.0421802
sunroof	0.0421394
"Over @@@ Million Dollars"	0.0420891
"card table"	0.0418515
"transmission line"	0.0418323
defibrillators	0.04176
"nook and cranny"	0.0416524
ornamentation	0.0415815
sheaf	0.0414087
headrest	0.0412405
pail	0.0411796
Santas	0.0409507
pane	0.0408841
membrane	0.0406948
"pool table"	0.0406422
wage-earner	0.0400113
"bathroom fixture"	0.0400025
))
("air filter" (desc 1158.09) (sims
speedometer	0.106334
"spark plug"	0.0970671
capacitor	0.0910897
injector	0.0897297
washer	0.086148
"electrical system"	0.085177
"water pump"	0.0817554
antifreeze	0.0810646
"circuit board"	0.0786967
cooker	0.0770768
endoscope	0.0770076
"suspension system"	0.0756077
"windshield wiper"	0.0746798
"pipe organ"	0.07356
"alarm system"	0.0730853
"weapon system"	0.072507
"rubber boot"	0.071887
"vacuum cleaner"	0.0717309
"sewer line"	0.071292
"soybean oil"	0.0704527
motherboard	0.0698828
stethoscope	0.0698251
"electric fan"	0.0676052
motherboards	0.0673858
"septic tank"	0.067293
"electrical device"	0.0669088
"electronic equipment"	0.0666597
"water heater"	0.0664444
sunroof	0.0652969
"voting machine"	0.0652704
"computer equipment"	0.0652403
air-conditioner	0.0648352
"production equipment"	0.0643606
muffler	0.0639922
alternator	0.0632901
"space heater"	0.0624995
"ventilation system"	0.0619713
transformer	0.061454
"instrument panel"	0.0611906
"emergency exit"	0.0603331
"weapons system"	0.0600291
spectrometer	0.059992
purifier	0.059489
duct	0.0594273
"audio CD"	0.0588725
E-ZPass	0.0587421
"telephone booth"	0.058714
insulator	0.0584532
"sprinkler system"	0.0581569
"communication system"	0.0581107
GRIDDLE	0.0580706
beater	0.0579045
Win@@	0.0577677
gyroscope	0.0575123
livery	0.057174
"voting system"	0.0569608
prosthesis	0.0568488
"heating system"	0.0568327
"sewage system"	0.0568227
"cooling system"	0.0566174
"lawn mower"	0.0564225
"sewage disposal"	0.0562327
"shock absorber"	0.0557629
avionics	0.0557579
lightbulb	0.0555378
"radio transmitter"	0.0554238
wristband	0.0553869
AK-@@	0.0553771
dryer	0.0553122
"mosquito net"	0.0547978
furnace	0.0544055
"solar cell"	0.0543796
"domed stadium"	0.0540963
"fire wall"	0.0538907
"bulletproof vest"	0.0532933
dishwasher	0.0530339
"lubricating oil"	0.0529472
refrigerant	0.052847
plainclothes	0.0526972
"ultraviolet light"	0.0526916
pergola	0.0525878
"river bed"	0.0519903
defibrillator	0.0517101
"power tool"	0.0516812
reflector	0.0515189
"rubber band"	0.0513442
latrine	0.0513306
"exhaust system"	0.0512835
"fuel system"	0.0509182
"drainage system"	0.0507964
putty	0.0505423
"Windows Media Player"	0.050312
"microwave oven"	0.0502718
"fuel cell"	0.0502318
classifieds	0.0499621
"telephone wire"	0.0497836
skyboxes	0.0496976
"X-ray machine"	0.0495437
"sewer system"	0.0491521
"cat food"	0.0488885
"color television"	0.0486996
faucet	0.0486991
"baseball glove"	0.0486962
thermostat	0.0486913
"Atlantic Richfield Co."	0.0486455
"gas turbine"	0.0485915
brassiere	0.0481614
"communications equipment"	0.0481399
turbine	0.0480274
clothesline	0.0479397
amplifier	0.0479318
"hearing aid"	0.0476574
"electric light"	0.0476214
"sound system"	0.0472716
denture	0.047078
toaster	0.0470702
"gas line"	0.0470439
electrolyte	0.046933
afterburner	0.0469222
"light bulb"	0.046917
"oil lamp"	0.0466235
fastener	0.0465269
"air duct"	0.0464783
"coat of paint"	0.046247
"writing desk"	0.0458815
varnish	0.0458741
Cyrix	0.0458396
shredders	0.0457919
cask	0.0455871
heater	0.04552
skylight	0.0453992
candelabra	0.045311
"financial officer"	0.0452747
"fire extinguisher"	0.045201
"software system"	0.0450601
silicone	0.0450287
wallboard	0.0449958
"stereo system"	0.0447973
tubing	0.0447726
"surveillance system"	0.0447434
bodysuits	0.0446595
"machine tool"	0.0446306
"engagement ring"	0.0445534
"life jacket"	0.0445155
armband	0.0444616
"flat tire"	0.0440334
bloodhound	0.0438424
grinder	0.0436067
"telephone set"	0.0433867
AN-@@	0.0432538
commode	0.0431577
"African Union"	0.0430159
"computer application"	0.0429254
Filtration	0.0429012
emulsion	0.0428277
ephedrine	0.0427226
"data system"	0.0425873
"insect repellent"	0.0423921
"book bag"	0.0423319
eyeglass	0.0423219
Transamerica	0.0423131
"Glenn Hoffman"	0.0422247
Play-Doh	0.0422229
autocracy	0.0421736
"power unit"	0.0421405
shaver	0.0420386
carpeting	0.0420324
"scoring system"	0.0420239
S@@	0.0419795
Rongen	0.0418843
"lighting fixture"	0.0418521
"gas stove"	0.0416843
"fiber optic cable"	0.0416372
"safety lock"	0.0414836
floodlight	0.0414583
gadgetry	0.0413879
"three pitchers"	0.0413555
"observation post"	0.0413045
"instruction manual"	0.0412968
make-over	0.0412312
odometer	0.0411182
"Netscape Navigator"	0.0410872
cistern	0.04098
Walkman	0.0408919
intercom	0.0408778
"Star of David"	0.0407501
Ribbeck	0.0407302
"kerosene lamp"	0.0406913
webcams	0.0406455
"coffee maker"	0.0406055
"Bill Skate"	0.0405942
witticism	0.0405395
"local area network"	0.0404669
aperitif	0.0404643
"love seat"	0.0404567
"smoke alarm"	0.0403146
"water line"	0.0402033
"home appliance"	0.0401213
propeller	0.0400403
"art teacher"	0.0400224
))
("Air Force" (desc 57802.2) (sims
navy	0.263842
"U.S. Air Force"	0.214871
army	0.19481
"Marine Corps"	0.182467
"armed forces"	0.180135
military	0.155092
"U.S. Army"	0.154343
airforce	0.153627
warplanes	0.140735
"National Guard"	0.136976
"Coast guard"	0.136131
"Indian Air Force"	0.127954
marine	0.125889
"naval forces"	0.123769
troop	0.122767
"military force"	0.114492
"Royal Air Force"	0.114049
force	0.112258
NASA	0.111481
airline	0.107842
fleet	0.106074
helicopter	0.105357
aircraft	0.104846
Boeing	0.103885
police	0.103732
"security force"	0.103487
Pentagon	0.102306
infantry	0.100841
warship	0.0999916
"air defense"	0.0997113
"Air National Guard"	0.099009
battalion	0.0986704
"Defense Department"	0.0976808
squadron	0.0973882
bomber	0.0966209
ministry	0.0956176
"police force"	0.0955098
"Justice Ministry"	0.0950551
NATO	0.0940342
government	0.0931725
F-@@	0.0924957
"general staff"	0.0921502
"Defense Ministry"	0.0919809
"Foreign Ministry"	0.0919266
agency	0.0918725
jet	0.0908575
CIA	0.0907703
"Interior Ministry"	0.0903148
Brigade	0.0902674
plane	0.0887766
fighter	0.088552
"military unit"	0.087786
ECOMOG	0.0873506
IRGC	0.0868588
PLA	0.0868475
artillery	0.0867675
"central bank"	0.0867644
paratrooper	0.0867507
FAA	0.0867304
"secret service"	0.0867065
warplane	0.0866707
soldier	0.0863758
gunship	0.0859424
unit	0.0856983
"armed service"	0.0850573
department	0.0844537
EgyptAir	0.0838219
"Federal Aviation Administration"	0.083529
"border patrol"	0.0833802
militia	0.0832059
"military personnel"	0.0828948
peacekeeper	0.0828444
pilot	0.082631
FBI	0.0820846
"military police"	0.0815621
authority	0.0796622
"foreign minister"	0.0793997
MiG-@@	0.0791613
"Liberation Army"	0.0789966
"customs service"	0.0789883
rebel	0.0785695
"State Department"	0.0782392
commander	0.0781159
"U.S. Coast Guard"	0.078056
"federal government"	0.0773844
commando	0.0770563
Regiment	0.0767597
"Forest Service"	0.0767532
"Energy Department"	0.0767054
"Justice Department"	0.0766699
Lockheed	0.0764881
"Northern Fleet"	0.0763434
UNIFIL	0.0763045
IDF	0.0762417
missile	0.0761501
U.N.	0.0758809
company	0.0757371
submarine	0.0756867
carrier	0.0755816
ABRI	0.0752539
"National Transportation Safety Board"	0.0750915
"Department of Energy"	0.0748781
Raytheon	0.0746126
embassy	0.0742128
"police department"	0.0739182
fighter-bombers	0.073819
airmen	0.0737716
F-@@s	0.0737533
TNI	0.0736531
U.S.	0.0735178
ship	0.0734998
"Yugoslav Army"	0.0725987
SLA	0.0725352
"patrol boat"	0.0721265
EPA	0.0721172
squad	0.0720104
C-@@@	0.0719154
"Ministry of Health"	0.0717668
crew	0.0705821
officer	0.0703334
"local government"	0.0702774
contingent	0.0701862
personnel	0.0701068
"task force"	0.0700659
"U.S. Navy"	0.0696618
airspace	0.0695055
"United Nations"	0.0694531
"Air France"	0.0694118
British	0.0693735
guerrilla	0.0693648
"National Park Service"	0.0692814
"North Atlantic Treaty Organization"	0.0692374
Judiciary	0.0686631
B-@@	0.0685817
gunboat	0.0684048
"People's Liberation Army"	0.0683931
corps	0.0683154
patrol	0.068169
university	0.0680624
"Finance Ministry"	0.0676347
"British Airways"	0.0675937
"Ministry of Defense"	0.0675301
"civil defense"	0.0674891
"military officer"	0.0673573
KGB	0.0672987
"postal service"	0.067223
"fire department"	0.0671759
NTSB	0.0670531
administration	0.0668917
"military leader"	0.0667189
Airbus	0.0666022
"Infantry Division"	0.0665995
"deputy foreign minister"	0.0664137
"Interior Department"	0.0663281
Alliance	0.066215
General	0.0661606
"Lockheed Martin"	0.0661509
Prowler	0.0660202
garrison	0.066001
"Department of Defense"	0.0659332
official	0.0657726
businessmen	0.065536
"Department of Veterans Affairs"	0.0654228
vessel	0.0653034
servicemen	0.065272
"air base"	0.0651099
Ambassador	0.0649896
"Health Ministry"	0.0649634
"United States"	0.06487
"military academy"	0.0646537
frigate	0.0645753
cavalry	0.0644445
"Department of Agriculture"	0.0644202
aviation	0.0643937
"Boeing Co."	0.0643685
command	0.0640888
Airlines	0.0640756
parliament	0.0640247
institute	0.0640063
"Red Cross"	0.0639845
Hezbollah	0.0639792
industry	0.0639508
IFOR	0.0639036
intelligence	0.0638173
KFOR	0.0637259
"Department of Justice"	0.0636485
UPDF	0.0636194
"fire brigade"	0.0635951
bureau	0.0634002
"Transportation Department"	0.0633137
hospital	0.0631963
"Health Department"	0.063135
TWA	0.0630513
organization	0.0630298
"Los Angeles Police Department"	0.0630177
"foreign office"	0.0629388
destroyer	0.0626671
UNHCR	0.0624427
"army officer"	0.062383
airplane	0.0623807
))
("air force academy" (desc 2093.27) (sims
"West Point"	0.17701
"Yale Law School"	0.17388
"U.S. Naval Academy"	0.173554
"naval academy"	0.170411
"University of Tennessee"	0.160008
"Harvard Business School"	0.142845
"Brigham Young University"	0.139754
"University of Kansas"	0.137731
"Harvard College"	0.131869
"military academy"	0.130745
"Brown University"	0.123017
"University of Michigan"	0.122758
citadel	0.121427
"Furman University"	0.121271
"City College"	0.121071
"Harvard Law School"	0.120557
"University of Colorado"	0.116711
"University of Georgia"	0.116138
"Williams College"	0.115875
northeastern	0.112265
"Howard University"	0.110395
"University of Kentucky"	0.107509
"University of North Carolina"	0.107321
"University of South Carolina"	0.107185
"University of Houston"	0.105752
"University of Maryland"	0.104393
"Northeastern University"	0.1041
Juilliard	0.103821
"University of Texas"	0.103676
"community college"	0.102898
"American University"	0.102122
"Rice University"	0.101829
"Juilliard School"	0.101245
"University of Miami"	0.0997945
"Georgetown University"	0.0997189
"University of Southern California"	0.0992094
"University of Mississippi"	0.0989108
"Smith College"	0.0981661
"Indiana University"	0.0978612
"University of Arizona"	0.0973979
"Stanford University"	0.0967891
"Northwestern University"	0.0966996
Princeton	0.0966876
"University of Wyoming"	0.0966827
"University of New Mexico"	0.0965676
"UC Irvine"	0.0959027
"Central High School"	0.0958827
"junior college"	0.0955797
"University of New Hampshire"	0.095288
"University of Alabama"	0.0948077
"art school"	0.0934165
"alma mater"	0.0929771
"Syracuse University"	0.0926475
"Princeton University"	0.092296
NYU	0.0920492
"University of Virginia"	0.0917346
"Michigan State University"	0.0914922
"University of Utah"	0.0910722
"University of Chicago"	0.0909142
"New York University"	0.0905086
"police academy"	0.0897804
"Boston College"	0.0896302
"University of Minnesota"	0.0895334
"Duke University"	0.0895324
"Louisiana State University"	0.0892251
"College of Charleston"	0.0889413
SMU	0.088536
"University of Wisconsin"	0.0883603
"Yale university"	0.0882405
"Florida State University"	0.0881374
"University of Florida"	0.0878473
"Cal State Northridge"	0.0871708
"Arizona State University"	0.0862249
"school of music"	0.085945
"Kennedy School"	0.083536
"Heritage High School"	0.083506
"city university"	0.0833938
Eton	0.0829394
Grambling	0.0828291
"Boston University"	0.0826776
"University of Notre Dame"	0.0826468
"Brandeis University"	0.082635
"Long Beach State"	0.0825401
"Holy Cross"	0.0825243
"technical school"	0.0821021
"Columbia University"	0.0820439
"Hofstra University"	0.0816334
"Seton Hall"	0.0814862
UNLV	0.0814245
"Massachusetts Institute of Technology"	0.0813256
"University of Connecticut"	0.0812902
"East Lake"	0.0811359
"Dartmouth College"	0.081004
"Royal Air Force"	0.0808453
"college level"	0.0805826
"Georgia Tech"	0.080243
"Emory University"	0.0791334
"Southern Methodist University"	0.0789957
"Georgia State University"	0.078972
Dartmouth	0.0783288
"Rutgers University"	0.0782606
"Trinity College"	0.078031
"driving school"	0.0779916
"University of Missouri"	0.0772672
"Barnard College"	0.076246
"University of Washington"	0.0755625
"Columbine High"	0.0753021
"Cambridge University"	0.0751226
"Peking University"	0.0750155
"Texas Christian University"	0.0746704
"Harvard University"	0.0741917
seminary	0.0740427
"London School of Economics"	0.0738404
"University of Nebraska"	0.0737315
"Kansas State University"	0.0734446
UNAM	0.0733834
Yale	0.0727098
"Wesleyan University"	0.0718224
"Cornell University"	0.0716934
"prep school"	0.0715329
"Jackson State"	0.0709238
"law school"	0.0706739
"Harvard Medical School"	0.0699716
"medical school"	0.0692804
Tanglewood	0.069218
"junior high school"	0.069043
"George Washington University"	0.0685591
Georgetown	0.0680829
"Ohio State University"	0.0679482
BYU	0.0675683
conservatory	0.0674807
"Virginia Tech"	0.0670629
"University of Massachusetts"	0.0665659
"vocational school"	0.0665052
"University of California"	0.0664384
UGA	0.066168
"Catholic school"	0.0661484
ou	0.0660386
RAF	0.065957
Lehigh	0.0658577
"Temple University"	0.0656338
"University of Iowa"	0.065467
Vassar	0.0652371
"preparatory school"	0.0650595
"Nanjing University"	0.0647881
"Beijing University"	0.0644326
UT	0.0642702
Columbine	0.0639544
MIT	0.0639123
CSUN	0.0639043
Unh	0.0638631
"Vanderbilt University"	0.0638611
"St. Albans"	0.0637877
"business school"	0.0637854
Cornell	0.0636972
"Oxford University"	0.0634987
"University of Oregon"	0.0634634
"Riverside Church"	0.0633876
"Iowa State University"	0.0631631
"University of Hawaii"	0.0630111
"school of law"	0.0626221
"Fresno State"	0.0625225
"University of Arkansas"	0.0622405
"Museum of Contemporary Art"	0.0619842
"Nevada-Las Vegas"	0.0619461
"Southern Cal"	0.0616566
"merchant marine"	0.0614594
"commencement ceremony"	0.0614011
Bu	0.0610262
Colgate	0.0609997
"U.N. Millennium Summit"	0.0607844
"UC Santa Barbara"	0.0607258
"Senior Bowl"	0.0598755
"Tufts University"	0.0596316
Vanderbilt	0.059421
Brandeis	0.0593781
Radcliffe	0.0592733
"San Diego State"	0.0591974
"San Jose State"	0.0590254
Wellesley	0.0589643
"Amherst College"	0.0587353
"State University of New York"	0.0585403
"Tehran University"	0.0584906
"Qinghua University"	0.058315
"Baylor University"	0.0582938
Cal	0.0582565
"National Press Club"	0.0581398
Wesleyan	0.0574299
"University of Illinois"	0.0570433
"Columbine High School"	0.0569473
"United Airlines"	0.0564114
Drexel	0.0564095
"Bob Jones University"	0.0563038
"North Carolina State"	0.055797
commencement	0.0557162
yeshiva	0.0556246
"National Autonomous University of Mexico"	0.055213
"World AIDS Conference"	0.0547256
Tulane	0.0545918
"Auburn University"	0.0542877
))
("air force officer" (desc 3059.64) (sims
"army officer"	0.156258
"military officer"	0.1562
"naval officer"	0.151383
serviceman	0.145581
"enlisted man"	0.134165
airmen	0.129867
"intelligence officer"	0.117174
"military man"	0.117093
"foreign service officer"	0.110884
airman	0.103481
"government officials"	0.101775
"intelligence agent"	0.0981635
consul	0.0971964
"military attache"	0.0967975
"army engineer"	0.0953919
agronomist	0.0943374
"civil engineer"	0.0900585
"intelligence analyst"	0.0895823
skydiver	0.0854095
"police sergeant"	0.0853422
adjuster	0.085125
"staff officer"	0.0848005
abortionist	0.0843086
crewmen	0.0840835
diplomat	0.0839935
Sergeant	0.0839492
seamen	0.0826291
"lieutenant general"	0.0825875
"police detective"	0.0825118
"business executive"	0.0824572
armymen	0.082371
"sea captain"	0.0822177
servicemen	0.0819842
"military personnel"	0.0816626
"department employee"	0.0815496
medic	0.0814155
"truck driver"	0.0807232
"brigadier general"	0.0791205
policymaker	0.0788199
seismologist	0.0785773
policemen	0.0780726
"staff sergeant"	0.0780688
reservist	0.0780538
geologist	0.077841
"cabinet minister"	0.0777889
crewmembers	0.0773827
"economic expert"	0.0771995
"aerospace engineer"	0.0767713
"insurance agent"	0.0767541
"church member"	0.0767007
Rodionov	0.0758073
"prison guard"	0.0757736
"military leader"	0.0754079
"secret agent"	0.0750737
Admiral	0.0747415
submariner	0.0747392
policeman	0.074638
clergyman	0.0744389
aviator	0.0742504
seamstress	0.0739741
geophysicist	0.0737608
sailor	0.073488
Colonel	0.0719436
soliders	0.071735
firefighter	0.0716677
commando	0.071661
"Secretary of Commerce"	0.0715351
"civil servant"	0.0711025
"certified public accountant"	0.0709221
chemist	0.0704862
businesspeople	0.0700931
"crew member"	0.070029
Khalil	0.0694849
accountant	0.0694629
stockbroker	0.0694502
Beckwith	0.0693136
attache	0.0691402
"David Hale"	0.0690871
"de Charette"	0.0689614
"lieutenant colonel"	0.0680723
Ruehe	0.0680609
"school principal"	0.0677964
"Orlando Mercado"	0.067782
"bus driver"	0.0677576
constable	0.0676967
"mail carrier"	0.0674991
major-leaguers	0.0672248
"Prabowo Subianto"	0.0669648
fireman	0.0668464
"Wesley Clark"	0.0664316
"federal official"	0.0659127
Reimer	0.0658759
actuary	0.0658212
paratrooper	0.065819
"electrical engineer"	0.0653355
"police captain"	0.0651857
"Harry Wu"	0.0650161
snakehead	0.0649644
"Dale Bumpers"	0.0648078
"real estate broker"	0.06431
"police lieutenant"	0.0642376
bailiff	0.0642275
"mountain climber"	0.0642002
Sumaye	0.0640471
nobleman	0.0640265
"Andreas Papandreou"	0.0637306
steelworker	0.0633046
"flight engineer"	0.0629917
"test pilot"	0.0629841
toxicologist	0.0627859
plumber	0.0626853
"Michael Skakel"	0.0623731
"ground crew"	0.0623658
airforce	0.0623535
Vance	0.0621817
Cheung	0.0620397
"President Lee Teng-hui"	0.0620357
"Ron Brown"	0.0619057
"medical specialist"	0.061806
electrician	0.0617164
"currency trader"	0.0617142
"government minister"	0.0616469
"newspaper editor"	0.0615853
"financial officer"	0.0615583
Musa	0.0615319
bricklayer	0.0614608
Faget	0.0613631
"investment banker"	0.0613202
"school teacher"	0.061083
Stoyanov	0.0610812
Shareh	0.0610289
Neulander	0.0609671
"prisoner of war"	0.060781
clergymen	0.0607606
TORTURER	0.0607362
"Tim Fischer"	0.060653
"math teacher"	0.0606028
parliamentarian	0.0605953
"Bill Skate"	0.0603569
ex-convicts	0.0602919
"opera star"	0.060092
Consul-General	0.060088
newspaperman	0.0599324
Guterres	0.0599011
"landscape architect"	0.0598555
Klansmen	0.059678
enterpreneurs	0.0596226
Mohamed	0.0594976
Krajisnik	0.0594836
"English teacher"	0.0594526
barrister	0.0594036
"labor leader"	0.0593853
Fernandes	0.0593357
Hamid	0.0592358
"law officer"	0.0592289
"Princess Anne"	0.0591963
Rifkind	0.0591729
"Navy Seal"	0.0589684
"Ramsey Clark"	0.0589245
"traveling salesman"	0.0587975
"murder suspect"	0.0587725
infantryman	0.0587684
schoolgirl	0.0587529
policewoman	0.0587293
"deputy foreign minister"	0.0585041
"robbery suspect"	0.0584979
schoolteacher	0.0584446
pharmacist	0.0582546
fisherman	0.0581668
Mikhailov	0.0581198
cyclist	0.0580952
crewman	0.058072
"coal miner"	0.058058
"John Shalikashvili"	0.0580524
"television reporter"	0.0580457
"major leaguer"	0.0580393
jurist	0.0578829
"corporate executive"	0.0578732
"postmaster general"	0.0578252
optometrist	0.0577834
"Eric Cantona"	0.057765
vice-president	0.0577233
"military post"	0.0577063
statesmen	0.0576773
Prabowo	0.0576648
rescuer	0.0576226
enlistee	0.0574884
cleric	0.0574113
"shipping company"	0.0573883
Industrialist	0.0572894
"Barry McCaffrey"	0.057252
footballer	0.057243
Marulanda	0.0571439
militiaman	0.0571037
botanist	0.0570501
Goff	0.0570307
beekeeper	0.0569047
microbiologist	0.0567433
"interior decorator"	0.0567073
"Alberto Tomba"	0.0566539
))
("Air Force Reserve" (desc 1367.74) (sims
"Air National Guard"	0.212196
"National Guard"	0.133607
"Texas Air National Guard"	0.120098
"Army Air Corps"	0.105048
"Royal Air Force"	0.104589
"blue angel"	0.099087
"U.S. Air Force"	0.098336
"Special Forces"	0.0921362
kamikaze	0.089644
"U.S. Army"	0.0865164
"Self-Defense Forces"	0.0854581
"Republican Guard"	0.0815389
"Marine Corps"	0.0807274
"Delta Force"	0.0801032
"regular army"	0.0785496
RAF	0.0780957
cavalry	0.0749227
airforce	0.0745114
"electronic warfare"	0.0744119
squadron	0.073551
"United States Congress"	0.0719665
Mensa	0.0715357
paratroops	0.0712731
"civil defense"	0.0699498
"National Oceanic and Atmospheric Administration"	0.0688825
Prowler	0.0680822
EPR	0.0652172
"artillery unit"	0.0649446
infantry	0.0642021
eco	0.0641551
"Congressional Black Caucus"	0.0633663
"Yugoslav Army"	0.0628663
ITT	0.0623751
"U.S. Coast Guard"	0.0620401
"International Brotherhood of Electrical Workers"	0.0617049
INTERFET	0.0614738
UPU	0.061158
"secret society"	0.0611255
Interpublic	0.0609483
Mig	0.0607086
CWA	0.0606867
MRTA	0.0602764
Searle	0.0601294
Dreyfus	0.0597111
PNP	0.0591101
"U.S. Navy"	0.0590558
CWC	0.0587169
"Infantry Division"	0.0582844
KGB	0.0579424
Lakas	0.057732
SANDF	0.0573437
"South African National Defense Force"	0.0573113
"Canadian Alliance"	0.0571816
Apache	0.0571441
UMNO	0.0569953
"Revolutionary Guards"	0.0567542
"Northern Fleet"	0.0567468
"Aetna U.S. Healthcare"	0.0565806
"armed service"	0.0565731
reverser	0.0565559
KNU	0.0563553
"PLO Executive Committee"	0.0551953
Menudo	0.0550239
SDS	0.0549772
"Indian Air Force"	0.0547079
"military police"	0.0546027
IAF	0.0542422
Os	0.0541497
"Congress Working Committee"	0.0538576
B-@	0.0536948
"up to six"	0.0534959
"enforcement division"	0.0534056
"China Airlines"	0.0529866
KPA	0.0527501
Ebenezer	0.0527166
Instinet	0.052704
"East African Cooperation"	0.0526963
"Hughes Electronics"	0.0522388
WIPO	0.0521629
VFW	0.0521286
"United Steelworkers"	0.0521156
"Rwandan Patriotic Front"	0.0520761
TNI	0.0519213
"Indonesian Armed Forces"	0.0516121
NATO-led	0.0514387
PATA	0.0513504
Emery	0.0512012
Lakas-NUCD	0.0509777
"religious order"	0.0500674
reversers	0.0499859
"Alcoholics Anonymous"	0.0497526
"District Council"	0.0494305
UNIFIL	0.0494287
Sidanko	0.0491867
"police dog"	0.0489635
Harcourt	0.0489618
sorority	0.0489528
"Local @@"	0.0484872
"Airborne Division"	0.048428
Harrier	0.0483719
"Colorado Party"	0.048234
"Allied Pilots Association"	0.0481026
"ground crew"	0.0480847
"Operation Rescue"	0.0479411
"Moro National Liberation Front"	0.0478782
Frito-Lay	0.0478648
IRGC	0.0477451
PECC	0.0476256
IPU	0.0475303
"Red Army"	0.0474436
"Grand Ole Opry"	0.0473145
"fire fighter"	0.0472956
UNAMSIL	0.046962
"Organization for Economic Cooperation and Development"	0.0467317
CCC	0.0467126
"Albanian Kosovo Liberation Army"	0.0465098
USAir	0.0463396
"Air Line Pilots Association"	0.0463068
"global positioning system"	0.0459399
"South Vietnamese"	0.0455869
KFOR	0.0455715
APA	0.0453911
"New York Police Department"	0.0452742
Ogilvy	0.0451519
Garuda	0.0448011
"Royal Navy"	0.0446894
"Mormon Church"	0.0446527
"Indonesian Military"	0.0445975
"battle group"	0.0445307
glider	0.0445243
WNBF	0.0444814
"Communications Workers of America"	0.0444189
"Big West"	0.0440428
"US House"	0.0439441
"South Lebanese Army"	0.0437676
"British Empire"	0.0435808
"Royal Shakespeare Company"	0.043505
"European Monetary Union"	0.0433522
basij	0.0433079
ABRI	0.0430557
"Election Committee"	0.0428662
GATT	0.0427552
"Legion of Honor"	0.0425644
"Star Alliance"	0.0424692
"Philadelphia Orchestra"	0.0424431
"Islamic Jihad"	0.0424429
"Mather Worldwide"	0.0422047
"United Auto Workers"	0.0422038
turboprop	0.0420695
"Southern Command"	0.0420195
SDP	0.0419218
"Monetary Policy Committee"	0.0418951
UPDF	0.0418233
C-@@	0.0417979
"research staff"	0.0417229
"Implementation Force"	0.041666
"diplomatic corps"	0.04166
"Manhattan Project"	0.041611
"Democrat Party"	0.0412956
Dasa	0.0412938
mujahedeen	0.0411813
"Conference USA"	0.0410338
"Top @@@"	0.0409722
"CBS Corp."	0.0408559
Politburo	0.0405813
"South American Common Market"	0.0405631
thana	0.040525
"New Korea Party"	0.0405105
"British Parliament"	0.0404806
"New Aspiration Party"	0.0404136
"Real IRA"	0.0403559
"Armed Police"	0.0402015
UNPREDEP	0.0401809
Thunderbird	0.0400416
))
("Air France" (desc 12436.8) (sims
KLM	0.236003
Swissair	0.228111
Lufthansa	0.218097
"Air China"	0.216166
Alitalia	0.214974
"American Airlines"	0.211908
"British Airways"	0.210393
EgyptAir	0.209455
"United Airlines"	0.209377
"Cathay Pacific"	0.201235
"El Al"	0.190671
Sabena	0.18942
"Northwest Airlines"	0.18626
Iberia	0.180785
"Continental Airlines"	0.175952
"Philippine Airlines"	0.171394
"Japan Airlines"	0.169501
"Air Canada"	0.168821
JAT	0.16875
TWA	0.164031
"America West"	0.162943
"Kenya Airways"	0.162035
"US Airways"	0.157425
"Southwest Airlines"	0.156101
Aeroflot	0.151854
"Delta Air Lines"	0.151597
"Turkish Airlines"	0.148117
airline	0.147177
"Gulf Air"	0.146947
"Indian Airlines"	0.146918
Qantas	0.145835
"Cathay Pacific Airways"	0.143608
"Vietnam Airlines"	0.142853
"Thai Airways"	0.142787
"Ethiopian Airlines"	0.142318
"South African Airways"	0.141676
"Alaska Airlines"	0.141322
"Thai Airways International"	0.141229
"Singapore Airlines"	0.140409
delta	0.138442
Garuda	0.138404
"Korean Air"	0.136385
"Trans World Airlines"	0.135817
continental	0.133935
AIRTRAN	0.125818
"Air Lanka"	0.124504
"Air India"	0.123876
"Virgin Atlantic"	0.12238
Cathay	0.115984
"Reno Air"	0.111919
"China Southern Airlines"	0.110908
USAir	0.108988
carrier	0.107358
"Indian Air Force"	0.104925
Asa	0.104502
"American eagle"	0.103821
Aeromexico	0.102085
"Delta Airlines"	0.101989
Boeing	0.101539
"Federal Express"	0.0999943
"China Airlines"	0.0968942
Varig	0.0964998
Verizon	0.0953701
Fedex	0.0949371
Airlines	0.0948387
"Eastern Airlines"	0.0945904
"America West Airlines"	0.0938776
"United Parcel Service"	0.0928788
northwest	0.0920827
Comair	0.0906058
TAZARA	0.0899526
DC-@@	0.08969
Amtrak	0.0896467
"French Foreign Ministry"	0.0871538
"UAL Corp."	0.0864275
MCI	0.0855989
"Deutsche Telekom"	0.0849741
Biman	0.0839669
"Bell Atlantic"	0.0838425
"China Eastern Airlines"	0.0824857
"KLM Royal Dutch Airlines"	0.0822113
MEA	0.0815736
JAL	0.0809903
Airbus	0.0809283
Aerospatiale	0.0807583
"Malaysia Airlines"	0.0801999
"Pan Am"	0.0791337
PAL	0.0788982
ups	0.0786196
ValuJet	0.0784365
AMR	0.0782345
UAL	0.0777115
"blue angel"	0.0774101
Concorde	0.0769746
JetBlue	0.0760174
"MCI WorldCom"	0.0758089
"Royal Air Force"	0.0746666
Ba	0.0740804
SAA	0.0735426
"U.S. Air Force"	0.0735122
"Airbus A@@@"	0.0730838
"British Aerospace"	0.0728694
"Consolidated Edison"	0.0726696
FAA	0.0722959
"Israeli Foreign Ministry"	0.0722698
Renault	0.0720574
Lockheed	0.071924
Railtrack	0.0718016
"Georgia Power"	0.0715069
"Ford Motor Co."	0.0714487
"U S West"	0.0713806
"AMR Corp."	0.0708212
"Bell Atlantic Corp."	0.0698861
"U.S. Soccer Federation"	0.0695475
Dragonair	0.0694752
"Air Force"	0.0694118
"Airbus @@@"	0.0691183
A-@@@	0.0687189
"United Auto Workers"	0.0686331
SNCF	0.0681139
Telkom	0.0680559
ZCCM	0.0679378
"ELF AQUITAINE"	0.0673129
C-@@@	0.0668889
A@@@-@@@	0.0664295
"Air France Concorde"	0.0664159
DaimlerChrysler	0.0656947
"Sprint Corp."	0.0656744
"Global Crossing"	0.0656417
BellSouth	0.0653306
GTE	0.0649007
Monsanto	0.0648872
"Air New Zealand"	0.0646837
"Boeing Co."	0.0646542
"Defense Agency"	0.0645855
"P&AMP;G"	0.0645005
"Pac Bell"	0.0644611
"Verizon Communications"	0.064403
Emery	0.0642965
"Air Line Pilots Association"	0.0637833
RAF	0.0637179
Cessna	0.0637095
MD-@@	0.0635397
Alcatel	0.0625806
Telstra	0.0624073
Prowler	0.062393
UAW	0.062247
Qwest	0.0617995
PictureTel	0.0617296
CEC	0.061711
Livent	0.0614186
Aetna	0.061361
"Russian Space Agency"	0.0607843
"Culture Ministry"	0.0607701
"McDonnell Douglas"	0.0606845
"bus company"	0.0605572
"U.S. Immigration and Naturalization Service"	0.0605113
Pertamina	0.0602375
"U.N. World Food Program"	0.0601119
Compaq	0.0600063
TDC	0.0599369
C-@@	0.0599176
TU-@@@	0.0599156
ATC	0.0598356
BOC	0.05976
"China Telecom"	0.0595419
"Telecom Italia"	0.0595116
"Bankers Trust"	0.0593725
EBRD	0.0593302
ICBC	0.0592617
"Credit Lyonnais"	0.0592141
"Blue Cross"	0.059192
EC	0.0590818
"Marine Corps"	0.0590642
CCB	0.0589526
REVLON	0.0588259
turboprop	0.0587477
Raytheon	0.0586653
Motorola	0.058645
"BP Amoco"	0.0586358
Hyundai	0.058515
"Olympic Committee"	0.0585064
"postal service"	0.0584865
"Hongkong Telecom"	0.0583207
NASA	0.0582704
MTA	0.0581252
"France Telecom"	0.0579401
Vivendi	0.0579355
PLN	0.0579044
"Russian Defense Ministry"	0.0578993
Petronas	0.0578543
"Societe Generale"	0.0577759
"General Motors Corp."	0.0576734
CCA	0.0575888
Paribas	0.0575362
"Air Transport Association"	0.0575127
SIA	0.0574402
Texaco	0.0574242
"Time Warner"	0.0573694
"British Telecom"	0.0571876
))
("Air France Concorde" (desc 2083.54) (sims
USAir	0.261913
"Airbus A@@@"	0.247511
"Airbus @@@"	0.231584
"Alaska Airlines Flight @@@"	0.214367
DC-@@	0.214255
Concorde	0.21269
Learjet	0.208938
A@@@-@@@	0.203691
TU-@@@	0.187235
"EgyptAir Flight @@@"	0.18411
"Swissair Flight @@@"	0.171225
osprey	0.169643
DC-@	0.163676
"Flight @@@"	0.161078
"Flight @@@@"	0.156885
"TWA Flight @@@"	0.153793
C-@@@	0.152288
EgyptAir	0.151976
widebody	0.151078
A-@@@	0.150232
MD-@@	0.150053
"Kenya Airways"	0.149858
jetliner	0.148356
"Thai Airways"	0.146981
"Turkish Airlines"	0.145199
"China Airlines"	0.141001
turboprop	0.139428
MiG-@@	0.137293
"Gulf Air"	0.132698
"Cessna @@@"	0.131716
"Ethiopian Airlines"	0.131582
airliner	0.129595
Cessna	0.126588
ValuJet	0.124423
"Indian Airlines"	0.123919
F-@	0.123082
"Pan Am"	0.123065
C-@@	0.118797
Mig	0.114857
Il-@@	0.111219
"Indian Air Force"	0.109683
"Korean Air"	0.109434
Swissair	0.108019
"commuter train"	0.107507
P-@	0.10668
"Eastern Airlines"	0.105775
F-@@	0.104935
"Pan Am Flight @@@"	0.104681
Harrier	0.103231
AN-@@	0.103051
"Alaska Airlines"	0.102896
"Air India"	0.102501
Prowler	0.101175
TWA	0.101174
Apache	0.100841
Airbus	0.0948005
Airlines	0.0943762
C-@	0.0936892
warplane	0.0935218
biplane	0.0933009
"express train"	0.0931816
A@@@	0.0926567
SU-@@	0.0910802
"passenger train"	0.0903028
Aeroflot	0.0882869
B-@@	0.0853524
AWACS	0.0844425
F-@@@	0.0840335
Hindenburg	0.0812291
"Trans World Airlines"	0.0784157
"hot-air balloon"	0.0771089
"electronic warfare"	0.0769471
"freight train"	0.0767671
freighter	0.0764728
"booster rocket"	0.0752204
"Stage @"	0.0746668
Mini-bus	0.0741495
Lear	0.0732097
tomcat	0.0729181
"jet plane"	0.0719227
MD	0.0715485
"American Airlines"	0.0708027
"Delta @"	0.0703997
glider	0.0700162
JAT	0.0695094
"United Airlines"	0.0693439
Concordes	0.0692097
Biman	0.0689172
Iberia	0.0689016
gondola	0.0687431
A-@@	0.0686828
"Royal Air Force"	0.0683536
"Vietnam Airlines"	0.0680935
chinook	0.0676517
double-decker	0.0674626
"tractor trailer"	0.0669097
KLM	0.0669079
"South African Airways"	0.0665756
A@XX	0.0665168
"Air France"	0.0664159
Atlantis	0.0659115
"El Al"	0.0657301
"American plane"	0.065398
"China Southern Airlines"	0.0653745
minibus	0.0651326
SAA	0.0637135
"American eagle"	0.0630211
"oil tanker"	0.0627316
B-@	0.0626145
"luxury liner"	0.0623192
Hercules	0.0620355
"ground attack"	0.0617057
Aeromexico	0.0616992
fireball	0.0616313
"Japan Airlines"	0.0616174
Asa	0.0607485
Qantas	0.0606577
IAF	0.0601753
Garuda	0.0599538
piper	0.0593104
"cable car"	0.0587614
"loud noise"	0.058599
"blue angel"	0.0582177
mudslide	0.0571305
"long haul"	0.0569391
Alitalia	0.0567909
"John F. Kennedy Jr."	0.0563476
airforce	0.0558442
chopper	0.0556184
two-seater	0.055517
T-@@	0.0554053
F@@	0.0551018
Emery	0.0549948
"Southwest Airlines"	0.0546918
thunderbolt	0.0545997
"U.S. Air Force"	0.0545527
Apaches	0.0543813
UTA	0.054114
warthog	0.0539512
jeepney	0.0538569
Comair	0.0536344
"General Council"	0.0535412
"Philippine Airlines"	0.0532729
"domestic flight"	0.0530356
"robbery suspect"	0.0528118
reconnaissance	0.0525093
"Air Lanka"	0.0522017
midrange	0.0519058
Sabena	0.0517625
kibbutz	0.0514637
"Hurricane Hugo"	0.0514176
"Air Canada"	0.0511729
"Continental Airlines"	0.0510681
K-@	0.0509917
piloting	0.0507158
"Ford Explorers"	0.0506769
thou	0.0502282
gunship	0.0502172
"container ship"	0.0498814
"McDonnell Douglas"	0.0498077
A-@	0.0493706
semitrailer	0.0492724
"Hurricane Georges"	0.0491835
skiiers	0.0491416
RAF	0.0488309
"Melbourne Cricket Ground"	0.0487548
"oil slick"	0.0487406
sanatorium	0.0485627
McDonnell	0.0482688
"traffic circle"	0.0482463
"Northwest Airlines"	0.047716
"up to seven"	0.0474037
"merchant marine"	0.0473459
"drive-by shooting"	0.0466834
"Cathay Pacific"	0.046337
tribesman	0.0461974
Orion	0.0461817
"Air China"	0.0460023
Zeb	0.0459741
C-@@@J	0.0458868
"car bomb"	0.0457812
SAS	0.0457372
eight-minute	0.0456914
tugboat	0.0456393
"Another two"	0.0455785
mini-van	0.0454719
stealth	0.045447
"China Eastern Airlines"	0.0452603
redeye	0.0452572
roundtrip	0.0452444
"passenger ship"	0.0449764
caribou	0.0447376
Embraer	0.0441735
speedboat	0.0441311
Saint-Exupery	0.044117
sentry	0.0440855
"Zimbabwean dollar"	0.0438351
"Delta Air Lines"	0.0438209
intruder	0.0436495
endeavour	0.0435594
))
("Air India" (desc 1583.4) (sims
"Indian Airlines"	0.236079
"Kenya Airways"	0.228035
Biman	0.217309
"El Al"	0.196678
"Ethiopian Airlines"	0.188649
"Korean Air"	0.188315
"Japan Airlines"	0.184605
"Thai Airways"	0.180754
JAT	0.179212
"Gulf Air"	0.16833
"Air Lanka"	0.159216
"Cathay Pacific"	0.154733
USAir	0.150863
"British Airways"	0.147868
"South African Airways"	0.143427
"China Airlines"	0.143243
Aeroflot	0.143068
"Air China"	0.139155
Lufthansa	0.138497
EgyptAir	0.137063
"Indian Air Force"	0.131616
"Air Canada"	0.130218
"Alaska Airlines"	0.12971
"Turkish Airlines"	0.128614
"Pan Am"	0.125957
"Air France"	0.123876
Garuda	0.1238
Mig	0.123279
IAF	0.121875
"Delta Air Lines"	0.121267
"Philippine Airlines"	0.115869
"Airbus A@@@"	0.113975
Aeromexico	0.111122
TU-@@@	0.11014
widebody	0.10847
Swissair	0.106018
"Air France Concorde"	0.102501
"Singapore Airlines"	0.101501
TWA	0.100512
Iberia	0.098985
"China Eastern Airlines"	0.0985019
turboprop	0.0978652
"American Airlines"	0.0963879
Comair	0.0956945
"Trans World Airlines"	0.0956881
ValuJet	0.095401
"United Airlines"	0.0944276
"Cathay Pacific Airways"	0.0941352
JetBlue	0.0937722
UTA	0.0931875
Emery	0.0921336
Harrier	0.0910929
"Airbus @@@"	0.0910825
Airlines	0.0910168
"U.S. Navy"	0.0904035
ATC	0.090165
"Continental Airlines"	0.0898434
DC-@@	0.0893082
"blue angel"	0.0883351
"American eagle"	0.0882706
Dragonair	0.0877098
"Southwest Airlines"	0.08742
"Virgin Atlantic"	0.087249
MiG-@@	0.0870217
"Malaysia Airlines"	0.0867491
P-@	0.0860676
SU-@@	0.0851602
Qantas	0.0842794
Alitalia	0.0839309
Totalfina	0.0824965
Il-@@	0.0823044
"Thai Airways International"	0.082223
"China Southern Airlines"	0.0813022
A-@@@	0.0812268
SAA	0.0812265
KLM	0.0808797
"US Airways"	0.0804233
"U.S. Air Force"	0.0803337
"electronic warfare"	0.0800471
"Northwest Airlines"	0.078135
A@@@-@@@	0.0779084
C-@@	0.0771039
"Eastern Airlines"	0.0768903
KPA	0.0766923
"Royal Air Force"	0.0765961
Concorde	0.0755277
"Thermo Electron"	0.0751632
"McDonnell Douglas"	0.0751265
MD	0.0748739
warthog	0.0722098
RAF	0.0721573
two-seater	0.0720514
"Stage @"	0.0716742
X-@@	0.0710834
AIRTRAN	0.0708387
C-@@@J	0.0701269
Cessna	0.0697709
CNOOC	0.0694928
"Vietnam Airlines"	0.0693423
"America West Airlines"	0.0693163
Airbus	0.0692424
A-@	0.069164
SAS	0.0685547
Sabena	0.0681281
CAAC	0.0675279
COSCO	0.0672751
Cathay	0.0664518
DC-@	0.0664127
AN-@@	0.0663361
A-@@	0.0660175
"America West"	0.0658894
AWACS	0.0654
Fedex	0.0649537
"Federal Express"	0.0645169
F@@	0.064117
"Delta Airlines"	0.0638665
Paxson	0.0637693
A@@@	0.0637346
TAZARA	0.0635871
airforce	0.0634666
A@XX	0.0633375
Prowler	0.0622584
"Enron Corp."	0.0620908
C-@@@	0.0620197
Asa	0.0619594
F-@	0.061855
Embraer	0.0610341
"U.N. World Food Program"	0.0609939
GEC	0.060758
kamikaze	0.0606859
"ground attack"	0.0601948
"Marine Corps"	0.0599995
CNPC	0.0597454
JAL	0.0595931
Cendant	0.0595391
UNRWA	0.0574581
"New York Times Co."	0.0571017
"United Parcel Service"	0.0569265
reconnaissance	0.0568906
"Stock Exchange of Hong Kong"	0.0568243
BOC	0.0566556
Ba	0.0563898
"Cessna @@@"	0.0561573
HKMA	0.0561502
"Daewoo Group"	0.0560371
C-@	0.0551459
MD-@@	0.0551384
Eni	0.0546121
peregrine	0.0544965
"Ford Motor Company"	0.05447
"Halliburton Co."	0.0541516
double-decker	0.0536562
REVLON	0.0528052
Gulfstream	0.0522321
"Air New Zealand"	0.0519103
"Siemens AG"	0.0518226
T-@@	0.0517766
"Hyundai Group"	0.0516578
CITIC	0.0514719
CIRC	0.0512826
Bestfoods	0.0506994
thunderbolt	0.0502451
Aventis	0.0500473
Conrail	0.0495252
PLN	0.0494055
Telefonica	0.0493851
F-@@@	0.0491994
"National Grid"	0.0491034
Ana	0.0490755
"Metropolitan Transportation Authority"	0.0489682
"Air Line Pilots Association"	0.0489562
"De Beers"	0.0484924
"UAL Corp."	0.0484833
Amtrak	0.048451
"National Association of Securities Dealers"	0.0481961
Hyundai	0.0480886
OPIC	0.0480675
"Hong Kong Stock Exchange"	0.0479909
"up to six"	0.0478875
"Exxon Corp."	0.0477498
IBRA	0.0477375
"Banking Committee"	0.0475947
MEA	0.0474399
"Societe Generale"	0.0471876
PLDT	0.0470117
Daimler-Benz	0.0469105
"Levi Strauss &AMP; Co."	0.0468046
"Sensitive Index"	0.0467196
Cunard	0.0466714
"Volkswagen AG"	0.0466523
AIG	0.0463897
"Indonesian Armed Forces"	0.0462891
"Hyundai Motor Co."	0.0461003
MAS	0.0459751
U.S.-British	0.0459232
"Sdn Bhd"	0.0457824
"Mattel Inc."	0.0454404
"Credit Lyonnais"	0.0453844
"long haul"	0.0453532
Airways	0.045235
))
("Air Lanka" (desc 1213.63) (sims
JAT	0.293068
Iberia	0.218722
"El Al"	0.214011
Garuda	0.193302
Aeroflot	0.176264
Alitalia	0.164608
"Cathay Pacific"	0.160138
"Air India"	0.159216
Swissair	0.153062
"Gulf Air"	0.147422
Qantas	0.143771
EgyptAir	0.139128
Lufthansa	0.138357
SAA	0.137655
JetBlue	0.134007
KLM	0.130368
"Singapore Airlines"	0.129932
"Air France"	0.124504
Varig	0.123748
"South African Airways"	0.119743
Aeromexico	0.118326
JAL	0.113987
"Turkish Airlines"	0.112032
"Air China"	0.109344
"Kenya Airways"	0.104113
"Cathay Pacific Airways"	0.103418
MEA	0.103117
TWA	0.102273
Dragonair	0.100803
"Southwest Airlines"	0.0979306
"Philippine Airlines"	0.0971941
AIRTRAN	0.0958965
CNPC	0.0957477
"Thai Airways"	0.0954647
Sabena	0.0945932
"Japan Airlines"	0.093796
SAS	0.093424
UTA	0.0929606
CNOOC	0.0927413
Comair	0.0917128
USAir	0.0890738
"Olympic Committee"	0.0872728
"Board of Investment"	0.0871357
ICBC	0.0868923
MAS	0.0864043
"Pan Am"	0.0863003
"Xinhua News Agency Hong Kong Branch"	0.086273
UNRWA	0.0861495
"Ethiopian Airlines"	0.0853345
IAI	0.0842403
"Susanthika Jayasinghe"	0.0834177
Biman	0.0806787
VENATOR	0.0805407
"Korean Air"	0.0801606
EA	0.078717
Kyprianou	0.077839
"China Airlines"	0.0771619
"Continental Airlines"	0.0769979
airforce	0.076582
"China Southern Airlines"	0.0761288
"Reno Air"	0.0758113
CNTA	0.0757326
HKFA	0.0756578
"Indian Airlines"	0.0750107
ValuJet	0.0745196
Cathay	0.0740058
CSC	0.0739289
ENTERGY	0.0738316
JMC	0.073358
INEC	0.0731529
"British Airways"	0.0727712
CDB	0.0725992
IAF	0.0723506
"elephant population"	0.0721939
COSCO	0.0719785
TDB	0.0713582
SDB	0.0712863
"Alaska Airlines"	0.0711974
"America West Airlines"	0.0711806
"People's Alliance"	0.0711654
"China Eastern Airlines"	0.0708929
MCC	0.0707989
"Education Ministry"	0.0703187
CCB	0.070252
Eximbank	0.07013
"Niagara Mohawk"	0.069686
"US Airways"	0.0691467
"Human Rights Commission"	0.068979
Ana	0.0677089
"Malaysia Airlines"	0.0676967
"Virgin Atlantic"	0.0672799
"Industry Ministry"	0.0671945
DC-@@	0.0671189
"battle group"	0.0668649
"Air Canada"	0.0664311
"American eagle"	0.0659772
MTA	0.0649579
"America West"	0.0648557
Asa	0.0648461
"Ministry of Trade"	0.0647793
EPZs	0.0647709
"Northwest Airlines"	0.0644605
CIRC	0.0644501
arboretum	0.064048
"Port Authority"	0.0637354
CMA	0.0637049
"British Foreign Office"	0.0635316
"Thermo Electron"	0.0632643
Wada	0.063213
CellPro	0.0631835
Fedex	0.0629098
AMC	0.0627965
"ticket agent"	0.0627779
Walgreens	0.0627046
SSB	0.0625273
homeownership	0.0624514
"Airbus A@@@"	0.0624099
TU-@@@	0.0620014
"Internet Service Providers"	0.0618748
"American Airlines"	0.0614209
"Thai Foreign Ministry"	0.06136
THA	0.0607212
Ahold	0.0606601
X-@@	0.0605978
Nanula	0.0601023
EBRD	0.0600466
RUC	0.0599742
Yorktown	0.0598857
"Andean Group"	0.059753
SIA	0.0593706
"transit authority"	0.0593408
"Trans World Airlines"	0.0592729
A@@@-@@@	0.0591833
"Indian Air Force"	0.0589666
"Agriculture Ministry"	0.0588716
BSF	0.0585302
polity	0.0584277
RAF	0.0584206
TDC	0.0583333
"Visa International"	0.0583298
"Ask Jeeves"	0.058236
SSE	0.0580269
Ansett	0.0577727
Conrail	0.0576076
CBK	0.0575462
Cp	0.0575351
UTC	0.0575331
B-@s	0.0575181
CSE	0.0573461
BOC	0.0572558
"Home Ministry"	0.0571166
Emery	0.0571052
CSA	0.0570345
"National Grid"	0.0568151
"Canadian Airlines"	0.0566259
Airbus	0.0565517
"Pudong International Airport"	0.0564795
"Russian capital"	0.0563343
Tat	0.0562414
"Transport Ministry"	0.0562223
DC-@	0.0560613
KONI	0.0559425
"Bank of Canada"	0.0558769
"Delta Air Lines"	0.0558259
Acela	0.055809
GPU	0.0557918
"U.N. World Food Program"	0.0555529
"United Airlines"	0.0554647
UNAMET	0.0553478
Ba	0.0552997
"Israeli Foreign Ministry"	0.0552624
"savings bank"	0.0550497
Occidental	0.0548748
AA	0.0548514
"Health Ministry"	0.0548456
CCC	0.05478
UNIFIL	0.0547223
"Independent Electoral Commission"	0.0547103
kiwi	0.054657
KLIA	0.0545634
turboprop	0.054236
RJR	0.0542306
Datek	0.0541839
"hot-air balloon"	0.0541626
Gulfstream	0.0540333
SDPC	0.0538968
"Kitty Hawk"	0.0537656
redeye	0.0535381
A@@@	0.0532071
PBOC	0.0531575
TAZARA	0.0530678
claimer	0.0530531
"Thai Commerce Ministry"	0.0529213
"election commission"	0.0528628
DSE	0.0527784
BOI	0.0527515
"Culture Ministry"	0.0525755
"rocket engine"	0.0523632
UNIDO	0.0523352
"State House"	0.0523042
))
("Air Line Pilots Association" (desc 1956.39) (sims
"Association of Flight Attendants"	0.290857
"Allied Pilots Association"	0.248354
"International Association of Machinists"	0.230327
"Benevolent Association"	0.207309
"National Education Association"	0.203625
"Communications Workers of America"	0.172516
"Service Employees International Union"	0.168234
"machinists union"	0.166248
"Securities Industry Association"	0.164387
"American Federation"	0.160246
"National Republican Congressional Committee"	0.141132
"Local @@@@"	0.141013
"Cuban American National Foundation"	0.138905
"American Association of Health Plans"	0.136858
"Air Transport Association"	0.13592
"Log Cabin Republicans"	0.129981
"Handgun Control Inc."	0.121538
"United Steelworkers"	0.121427
"Recording Industry Association of America"	0.121406
"National Association"	0.119335
"American Civil Liberties Union"	0.115887
"National Association of Broadcasters"	0.115704
"U.S. Immigration and Naturalization Service"	0.113976
"AMR Corp."	0.113797
"Continental Airlines"	0.112613
AFL-CIO	0.112476
"Trans World Airlines"	0.111626
"Local @@@"	0.110141
"Board of Elections"	0.108995
"Democratic Congressional Campaign Committee"	0.105618
"U.S. Chamber of Commerce"	0.104022
"American Lung Association"	0.103295
"Motion Picture Association of America"	0.102765
"Screen Actors Guild"	0.101783
"American Petroleum Institute"	0.100496
"District Council"	0.10044
"American Bankers Association"	0.100386
"Democratic Senatorial Campaign Committee"	0.0994154
"US Airways"	0.0993497
"Handgun Control"	0.0992998
"National Council of La Raza"	0.0991297
"Cendant Corp."	0.0989261
"Bill Lockyer"	0.0985222
"Local @@"	0.0983638
CWA	0.0975972
"Judicial Watch"	0.0974503
"Department of Environmental Conservation"	0.0963277
"World Jewish Congress"	0.0953253
"National Organization"	0.0950692
"Port Authority of New York"	0.0936384
guild	0.0932707
"Rainbow/PUSH Coalition"	0.0922221
"League of Conservation Voters"	0.0920516
"National Federation"	0.0919788
"International Brotherhood"	0.0912025
"Nahdlatul Ulama"	0.0905418
"Common Cause"	0.0901086
UAW	0.0899662
CCB	0.0888517
"National Abortion and Reproductive Rights Action League"	0.0886855
ICBC	0.0884025
"CBS Sports"	0.0882292
"National Election Committee"	0.0880527
"International Brotherhood of Electrical Workers"	0.0878206
"National Association of Manufacturers"	0.0877308
"Chevron Corp."	0.0874655
"American Association of Retired Persons"	0.0871319
"Southeastern Legal Foundation"	0.0864762
"Department of Public Safety"	0.0863915
"Russian Space Agency"	0.0862517
"National Audubon Society"	0.0862424
Hynes	0.0855941
"American Red Cross"	0.0850364
"Air China"	0.0849479
Teamsters	0.084906
NAACP	0.0847464
"United Auto Workers"	0.0846637
ACLU	0.0843812
"New York Times Co."	0.0842744
"Main Events"	0.0842507
"National Council of Churches"	0.0838811
"Family Research Council"	0.0837631
"Philip Morris Cos."	0.0831646
"British Airways"	0.0828501
Eximbank	0.0822794
AMR	0.0822134
"International Federation"	0.081524
"Sierra Club"	0.0811967
AmCham	0.0811645
"Amnesty International"	0.0809042
"Meretz Party"	0.0808777
"American Cancer Society"	0.0807272
"U.S. Soccer Federation"	0.0801656
"Serbian Orthodox Church"	0.0800124
"Dow Jones &AMP; Co."	0.0798149
"European Bank for Reconstruction"	0.0797618
"Department of Corrections"	0.079755
"International Committee"	0.0796961
"Anti-Defamation League"	0.0794409
Confederation	0.0794002
"Ramsey Clark"	0.0791973
TWA	0.0788401
"Texas Department of Public Safety"	0.0787627
"League of Women Voters"	0.0787586
"Sydney Organizing Committee"	0.0786371
"Board of Supervisors"	0.0781708
"Wine Institute"	0.0778525
"Department of Environmental Protection"	0.0777572
"Health and Human Services Department"	0.0774149
"Congressional Black Caucus"	0.0769661
"Nevada Athletic Commission"	0.0769568
"Delta Air Lines"	0.0768544
"Chinese Olympic Committee"	0.076623
"Delta Airlines"	0.076063
"Audubon Society"	0.0759747
"Democratic Leadership Council"	0.075735
TrustE	0.0753425
"Rotary International"	0.0753233
"Department of Foreign Affairs"	0.0750885
"National Association of Securities Dealers"	0.0750074
"Human Rights Commission"	0.0747805
"Department of Health and Human Services"	0.0747434
"Royal Ulster Constabulary"	0.074601
Greenpeace	0.0740175
"New York Civil Liberties Union"	0.0738399
"Northwest Airlines"	0.0738349
"China Council"	0.0735272
"National Alliance"	0.0733576
"Time Warner Cable"	0.0732374
"Charles Schwab &AMP; Co."	0.0731511
IMG	0.0730501
"Electronic Frontier Foundation"	0.0729406
"U.S. Olympic Committee"	0.0729131
"Russian Foreign Ministry"	0.0725605
"Cambodian People's Party"	0.0725226
"National Transportation Safety Board"	0.0724812
"U.N. High Commissioner for Refugees"	0.0724447
"Justice Ministry"	0.0724211
"Chase Manhattan Corp."	0.072376
"Airport Authority"	0.072371
"Salt Lake Organizing Committee"	0.0722973
"Bank of Italy"	0.072145
"International Society"	0.0720873
"Hong Kong Federation"	0.0719421
"UAL Corp."	0.0718593
Publicis	0.0712924
"Columbia Pictures"	0.0710968
"House Commerce Committee"	0.0708221
"ABC Sports"	0.070692
"Australian Olympic Committee"	0.0706122
"French Foreign Ministry"	0.0699491
"World Tourism Organization"	0.0699247
"Federal Emergency Management Agency"	0.0697414
"National Urban League"	0.0696093
WPP	0.0695899
"American Heart Association"	0.0694077
"trade association"	0.0693568
"Office of Management and Budget"	0.0693065
"National Marine Fisheries Service"	0.069023
"American Jewish Committee"	0.0689524
"Dennis Vacco"	0.0683394
"Sam Rainsy Party"	0.0682152
"Con Edison"	0.0681414
Interpublic	0.0681279
"United Nations High Commission for Refugees"	0.0677134
ARATS	0.067702
"Organizing Committee"	0.0676302
"Business Council"	0.0675827
"Hearst Corp."	0.067508
"National Trust"	0.067472
"Mormon Church"	0.0674558
"Hughes Electronics"	0.0673975
"National Conference"	0.0673362
"American Legion"	0.067138
"Planned Parenthood"	0.0670261
"Hyundai Motor Co."	0.0670228
"United Airlines"	0.0670031
"China Southern Airlines"	0.066816
"China Society"	0.0666314
Omnicom	0.0666124
"Federal Aviation Administration"	0.0663642
Pepsico	0.0662705
"House Budget Committee"	0.0661037
"Special Forces"	0.0661013
"National League for Democracy"	0.0658992
"Southern Poverty Law Center"	0.0656399
"Olympic Council of Asia"	0.0656348
"RJR Nabisco"	0.0656236
"Pepsico Inc."	0.0656126
Lufthansa	0.0651406
KLM	0.064974
"Association for Relations Across"	0.0649053
"New Korea Party"	0.0648815
"Labor office"	0.0648307
"Metropolitan Transportation Authority"	0.0646914
"True North"	0.0645938
"Health Care Financing Administration"	0.0645543
"Mather Worldwide"	0.064542
SDS	0.0643947
"planning board"	0.0642734
))
("air mass" (desc 7084) (sims
"cold front"	0.158097
"high pressure"	0.145007
"air current"	0.120948
"jet stream"	0.117544
"low pressure"	0.109856
clime	0.0988404
"warm front"	0.0977305
chill	0.0906516
"cold wave"	0.0906101
"ocean current"	0.0900241
Thunderstorm	0.089546
disturbance	0.0838242
breeze	0.0833505
moisture	0.0794357
"sea breeze"	0.0792921
"atmospheric condition"	0.0743799
airflow	0.0716117
shower	0.0714315
"hot air"	0.0690797
winters	0.0684238
sunshine	0.066384
"oil slick"	0.06535
"Hurricane Bonnie"	0.0623652
"spring water"	0.0621455
"cold snap"	0.0562815
precipitation	0.0553341
monsoon	0.0540613
"trade wind"	0.0524769
thundershowers	0.0520825
northeastward	0.0493725
squall	0.0491851
Haze	0.0490973
"weather conditions"	0.0485796
"La Nina"	0.0472575
dampness	0.0471747
"heat wave"	0.0469247
"express train"	0.04657
"piece of cloth"	0.0461176
"technological revolution"	0.0457248
"electric current"	0.0455713
trough	0.0450208
tundra	0.0447692
afternoons	0.0445696
"river bed"	0.0444285
mass.	0.0437105
fog	0.0433591
plume	0.0432997
rainstorm	0.0429893
snowstorm	0.0429252
mist	0.0418949
mornings	0.0416917
gale	0.0415183
stratosphere	0.0414825
cyclone	0.0414553
"water vapor"	0.0412495
raindrop	0.0410027
Martian	0.040995
"neutron star"	0.0409632
gust	0.0409362
evenings	0.0405534
heatwave	0.0404361
oscillation	0.040263
"dust storm"	0.0401987
oases	0.0401198
))
("Air National Guard" (desc 2277.33) (sims
"National Guard"	0.255042
"Air Force Reserve"	0.212196
"Texas Air National Guard"	0.199723
"Royal Navy"	0.155861
"Royal Air Force"	0.153135
"Marine Corps"	0.134482
"Indian Air Force"	0.131944
"Army Air Corps"	0.127954
"U.S. Air Force"	0.120166
"Self-Defense Forces"	0.109512
"Special Forces"	0.106753
"Coast guard"	0.101945
airforce	0.0970573
"U.S. Army"	0.0941354
RAF	0.0926884
"artillery unit"	0.0910981
"blue angel"	0.0880354
"armed service"	0.0842559
Harrier	0.0825526
"electronic warfare"	0.081837
"U.S. Navy"	0.0802699
Mig	0.0802369
"merchant marine"	0.0801974
IAF	0.0772489
squadron	0.0769599
TU-@@@	0.0761064
"civil defense"	0.0738398
EPR	0.0737537
PNP	0.0730328
"Korean Air"	0.071651
"British Army"	0.0705713
"Armed Police"	0.0696247
"Republican Guard"	0.0693428
"Delta Force"	0.0689096
"Texas House"	0.0683781
IRGC	0.0681765
"combat zone"	0.0679932
infantry	0.067417
"PLO Executive Committee"	0.067027
"U.S. Coast Guard"	0.0650528
F-@	0.0649002
"Texas Senate"	0.0636884
"U.S. Customs Service"	0.0633875
"Ethiopian Airlines"	0.0628793
CWC	0.0628373
"China Airlines"	0.0625459
MiG-@@	0.0622959
MKO	0.062143
BSF	0.0614885
USAir	0.0611839
"Islamic Revolution Guards Corps"	0.060909
"Alaska Airlines"	0.0603792
SANDF	0.0602299
Mensa	0.0596007
"customs service"	0.0594256
"New York Police Department"	0.0592552
Ebenezer	0.0591625
Publicis	0.0590073
"United States Congress"	0.0589688
DNR	0.0587048
commando	0.0586397
cavalry	0.0584714
Interpublic	0.0579006
CWA	0.05744
"Red Army"	0.0573647
"South Vietnamese"	0.0571951
"Delta Air Lines"	0.0568387
"Allied Pilots Association"	0.0567786
"State Police"	0.0565645
MRTA	0.0562938
A-@	0.056168
"regular army"	0.0555301
Lakas-NUCD	0.0552786
kamikaze	0.0552626
"Northern Fleet"	0.055152
widebody	0.0551337
DC-@@	0.0550321
"Peace Corps"	0.0548525
"Thai Airways"	0.0543588
"Eastern Airlines"	0.054355
reservist	0.054234
"Texas Department of Public Safety"	0.0539281
C-@	0.0538714
"military police"	0.053839
"Top @@@"	0.053544
"border patrol"	0.0529197
reconnaissance	0.0528867
"Congressional Black Caucus"	0.0527397
"International Maritime Organization"	0.0525409
UNIFIL	0.0524325
"South African National Defense Force"	0.0524081
C-@@	0.0520856
"Kenya Airways"	0.0518555
"International Brotherhood of Electrical Workers"	0.0518215
forensics	0.0517779
"Malaysia Airlines"	0.0515703
"Y&AMP;R"	0.0515609
CMAG	0.0515348
"police dog"	0.0515222
Emery	0.0512567
Lakas	0.0508684
Os	0.0507562
"Mather Worldwide"	0.050558
T-@@	0.0505284
blimp	0.0504996
"Stabilization Force"	0.0503053
"New Jersey State Police"	0.0502572
"US House"	0.0502318
SU-@@	0.0500776
PECC	0.0498133
Prowler	0.0496716
P-@	0.0495716
TNI	0.0493814
"Hughes Electronics"	0.0493304
"Fish and Wildlife Service"	0.0492903
CEC	0.0492473
"Aryan Nations"	0.0491169
"Omnicom Group"	0.0489141
eco	0.0485905
A-@@	0.0485523
"Indian Airlines"	0.0484569
SAS	0.0484039
UNAMSIL	0.0482301
"fire brigade"	0.0481572
Omnicom	0.0480766
"Aetna U.S. Healthcare"	0.0480513
"Air Line Pilots Association"	0.0480093
APA	0.0479166
"Muslim Brotherhood"	0.0478033
warthog	0.0478022
"Local @@"	0.0477997
plainclothes	0.047652
"chemical warfare"	0.0475395
"National Transportation Safety Board"	0.047525
C-@@@	0.0474984
EgyptAir	0.0474636
"Virgin Atlantic"	0.0470021
"Congress Working Committee"	0.0468714
KEDO	0.0468676
"Hezbollah (Party"	0.0468266
glider	0.0468093
A-@@@	0.0467214
"US Congress"	0.0467186
"Fallon McElligott"	0.0466737
"Election Committee"	0.0465813
"aircraft engine"	0.046576
SDS	0.046416
F-@@@	0.0462288
Menudo	0.0459887
Comair	0.0458822
"Federal Express"	0.0458245
"Star Alliance"	0.0458094
"ground attack"	0.0457227
SLA	0.0457128
NSC	0.0455994
Cathay	0.0455173
"Rampart Division"	0.0454123
decontamination	0.045404
"Housing Authority"	0.0452525
SSE	0.0450717
DPR	0.0447894
"fire fighter"	0.0447355
"Palestinian Council"	0.0446624
"Communications Workers of America"	0.0444436
A@@@-@@@	0.0444236
"ground crew"	0.044319
Politburo	0.044273
"Air India"	0.0440198
KNU	0.0438622
"Republican House"	0.0438077
"air defense"	0.0436557
ABRI	0.0435737
"Big West"	0.0435606
WPP	0.0435075
"United States Senate"	0.0434403
two-seater	0.0433651
Instinet	0.0433006
triage	0.0432357
"Philippine National Police"	0.0430926
Searle	0.042917
"Veterans Administration"	0.0428925
"secret society"	0.0428051
sorority	0.0427722
"Damascus Declaration"	0.042732
AmCham	0.0423808
"Royal Ulster Constabulary"	0.0423615
Andreychuk	0.0422697
"British Parliament"	0.0422656
"District Council"	0.0421952
"United Steelworkers"	0.0421889
MIAs	0.0421708
WNBF	0.0420705
Apache	0.0420248
WIPO	0.0420008
"diplomatic corps"	0.0419981
"Desert Storm"	0.0419381
Il-@@	0.0419355
"Japan Airlines"	0.0418468
"Warsaw Pact"	0.0417265
CHP	0.0416934
))
("Air New Zealand" (desc 5385.48) (sims
"Brierley Investment"	0.480223
"Carter Holt Harvey"	0.468684
"Fletcher Building"	0.448053
"Fletcher Forest"	0.435123
"Fletcher Paper"	0.433194
"Fletcher Energy"	0.426295
"Lion Nathan"	0.416804
"Fletcher Forests"	0.400061
"Auckland Airport"	0.387384
"Brierley Investments"	0.352871
"Contact Energy"	0.346954
AMP	0.184695
SPH	0.184465
Telecom	0.176619
"Wireless Optus"	0.156455
Telstra	0.153941
"Sky TV"	0.15376
"Commonwealth Bank of Australia"	0.15369
Westpac	0.143104
"Japan Airlines"	0.136248
"Creative @@"	0.132535
ANZ	0.129925
"SPH @@@"	0.126886
"Straits Times Index"	0.126766
"Second Board Index"	0.123267
WMC	0.121636
"Industrial Index"	0.116718
"Rio Tinto"	0.11529
"GE Life"	0.11472
SIA	0.112849
"Commonwealth Bank"	0.109555
"Nikkei Stock Average"	0.109086
"National Australia Bank"	0.109044
Fletcher	0.10883
"Emas Index"	0.108792
PacCent	0.108364
"Canadian Airlines"	0.106622
"Cathay Pacific"	0.105295
"CAC @@"	0.104307
NAB	0.104178
"Tokyo Stock Price Index"	0.103295
"Straits Times Industrials Index"	0.103232
"preferred shares"	0.101829
"South African Airways"	0.100315
BHP	0.0995272
Ansett	0.0954576
Qantas	0.0938834
"F&AMP;N"	0.0935641
"Air Canada"	0.0905054
"Xetra Dax"	0.0894975
"Philippine Stock Exchange Index"	0.0881472
UOB	0.0853271
"Thai Airways"	0.0841243
"KLM Royal Dutch Airlines"	0.0808019
"Composite Index"	0.0805409
"City Development"	0.0803889
w@@	0.0800771
"News Corp"	0.0795804
STI	0.0794218
UAL	0.0786403
"FTSE @@@"	0.0786304
Lufthansa	0.0783578
warrant@@	0.0779539
CAC	0.0767362
"Singapore Airlines"	0.0758938
sub-index	0.0744181
"British Airways"	0.0740734
Iberia	0.0734211
"bond price"	0.0729818
DAX	0.0727044
"ordinary shares"	0.0714658
"Weighted Price Index"	0.0710325
Nikkei	0.0695633
"Hang Seng Index"	0.0684064
HSI	0.0679229
Swissair	0.0654932
"Air France"	0.0646837
CAC-@@	0.0646457
CRA	0.0644087
FT-SE	0.0630417
"Philippine peso"	0.0630311
SingTel	0.0624838
db	0.0624182
"Hang Seng"	0.0623768
"Air China"	0.0618132
"Hang Seng China-Affiliated Corporations Index"	0.0616865
"United Airlines"	0.061613
KLM	0.0614015
"Dow Jones Industrial Average"	0.0611824
sharemarket	0.0608097
"Delta Airlines"	0.0604025
RAMBUS	0.0596412
"JDS Uniphase"	0.059594
Alitalia	0.059286
Immunex	0.0583311
"Thai Airways International"	0.0576915
"Australian dollar"	0.0575648
"Hang Seng China Enterprises Index"	0.0571907
"consumer price index"	0.0564993
"Kenyan shilling"	0.0564053
"Singapore Press Holdings"	0.056063
PLDT	0.0543793
scrip	0.0543329
Sensex	0.0540646
Bovespa	0.0535618
"Virgin Atlantic"	0.0533494
"HSBC Holdings"	0.0532748
"El Al"	0.0519806
pfennig	0.0519326
"Air India"	0.0519103
"Singapore Telecom"	0.0518171
"J&AMP;J"	0.0513001
"New Zealand dollar"	0.0508369
"retail price index"	0.0502557
"Exxon Mobil"	0.0501041
VENATOR	0.0498099
"United Technologies"	0.0497244
Varig	0.0495636
"futures price"	0.0493106
"American Express"	0.049181
"Sensitive Index"	0.0486062
Aeroflot	0.0483361
Alcoa	0.0482659
industrials	0.0481923
"rate of inflation"	0.0479594
Colonial	0.04787
"water table"	0.0476451
"Hewlett Packard"	0.0473011
Merck	0.0471367
sub-indices	0.0469679
"Ayatollah Ali Khamenei"	0.046576
"funds rate"	0.0461399
OCBC	0.0458283
"B share"	0.0457488
"Wireless HKT"	0.045707
"Gulf Air"	0.0455444
Composite	0.0451992
"vehicle sale"	0.0451242
YPF	0.0451
"Bank of Scotland"	0.0450591
CPI	0.0449701
Qualcomm	0.0447098
"Trans World Airlines"	0.0446163
"Dayton Hudson"	0.0445063
"China Southern Airlines"	0.0444542
CMG	0.0443273
"Eli Lilly"	0.044229
"one cent"	0.0442151
Kenseth	0.0440582
"Chase Manhattan"	0.0438086
"J.P. Morgan"	0.0437636
Sabena	0.0437564
"five cents"	0.0437396
"S&AMP;P"	0.0437373
"Northwest Airlines"	0.0436886
"Xanana Gusmao"	0.0433421
"Royal Bank of Scotland"	0.0433056
Nikko	0.0432123
"Singapore dollar"	0.0431555
Fedex	0.0431382
"UAL Corp."	0.043035
Fujitsu	0.0428989
"Delta Air Lines"	0.0427904
"Shanghai Composite Index"	0.0425773
"China Airlines"	0.0425739
Woodside	0.0424559
"Air Lanka"	0.0424531
"NASDAQ Composite Index"	0.0423227
"Advanced Micro"	0.0422171
Honeywell	0.0422072
"Continental Airlines"	0.0421944
"British pound"	0.0420872
Hitachi	0.0419924
"BP Amoco"	0.0419914
"Indian Airlines"	0.0417589
AHP	0.0417533
"pork belly"	0.0416853
CBA	0.0416437
"truck sale"	0.0415808
"News Corp."	0.04123
"Turkish Airlines"	0.0411928
Schering-Plough	0.0411238
TWA	0.0409202
"retail sale"	0.0408993
"eight cents"	0.0405746
Allianz	0.0404974
"Johnson &AMP; Johnson"	0.0404026
JAT	0.0403613
"Share Prices Continue"	0.040329
"Hutchison Whampoa"	0.0402399
shilling	0.0401693
))
("air pollution" (desc 24374.8) (sims
pollution	0.292387
smog	0.234215
"water pollution"	0.227696
emission	0.209867
congestion	0.184496
desertification	0.181447
"soil erosion"	0.174249
"acid rain"	0.168959
pollutant	0.156727
deforestation	0.140131
shortage	0.135686
unemployment	0.129359
degradation	0.129355
"forest fire"	0.127452
ozone	0.1253
contamination	0.124601
erosion	0.123581
"sulfur dioxide"	0.121733
poverty	0.118655
malnutrition	0.117059
noise	0.113476
waste	0.113409
"drug abuse"	0.112596
fume	0.112051
epidemic	0.111407
radiation	0.111002
Haze	0.110798
drought	0.110418
"traffic jam"	0.107748
sprawl	0.107139
"drug problem"	0.106893
malaria	0.10566
HIV/AIDS	0.104106
"nitrogen oxide"	0.103896
"crime rate"	0.102838
"environmental condition"	0.102763
Obesity	0.102625
spill	0.101122
consumption	0.101061
smoking	0.101049
overpopulation	0.0995733
instability	0.0992402
stress	0.0980608
scarcity	0.0979549
Sewage	0.0976848
imbalance	0.0971017
"urban sprawl"	0.0968595
"juvenile delinquency"	0.0966963
disease	0.0961073
flood	0.0957353
homelessness	0.0954797
traffic	0.0954052
"carbon monoxide"	0.0951981
"heart disease"	0.0951734
disaster	0.0951057
rainfall	0.0948646
crime	0.0940534
exhaust	0.093754
deterioration	0.0931748
inflation	0.0927841
"drug trafficking"	0.0926492
immigration	0.0922363
depletion	0.0919664
famine	0.0919545
"carbon dioxide"	0.091934
environment	0.0916064
"infectious disease"	0.0915956
hazard	0.090062
soot	0.0899272
Proliferation	0.0899115
flooding	0.0895407
infection	0.0893513
joblessness	0.0891848
poaching	0.0887647
smoke	0.0887102
"dust storm"	0.0886873
accident	0.0885503
"water supply"	0.0882492
piracy	0.0882433
discharge	0.0880936
pest	0.0879748
humidity	0.0879459
pesticide	0.0879027
sandstorm	0.0872039
exposure	0.0869496
corruption	0.0867368
dioxide	0.0866762
effluent	0.0863565
"toxic waste"	0.0858264
"alcohol abuse"	0.0854505
leakage	0.0844489
asthma	0.0844116
wastewater	0.0841417
weather	0.0841295
PCBs	0.0836773
pandemic	0.0836113
vibration	0.0835848
dust	0.0835052
smuggling	0.0834905
"drug trade"	0.0833159
radioactivity	0.0832353
crunch	0.083005
"economic crisis"	0.0829109
violence	0.0828474
sanitation	0.0825962
"human activity"	0.0825665
"trade deficit"	0.0824746
quality	0.0823424
dioxin	0.082286
"food poisoning"	0.0821648
salinity	0.081776
wildfire	0.0809368
volatility	0.0809312
theft	0.0807649
oversupply	0.0806886
incidence	0.0804031
"health problem"	0.0803692
mortality	0.0800907
"drug use"	0.0798237
logging	0.0795178
contaminant	0.0793329
"budget deficit"	0.0792952
terrorism	0.079178
infestation	0.0791505
hunger	0.0790777
diabetes	0.0785095
insecurity	0.0781797
"weather conditions"	0.0779777
"crop failure"	0.077811
calamity	0.0777643
Snowfall	0.077666
gas	0.0776434
outages	0.0775603
blindness	0.0774053
"power failure"	0.0771778
damage	0.0770005
chemical	0.0769704
illness	0.0767975
outbreak	0.0766772
climate	0.076256
unrest	0.0762337
fluctuation	0.0762166
precipitation	0.0762066
asbestos	0.0759189
disruption	0.0757552
turbulence	0.0755624
flow	0.0754431
deficiency	0.0752918
"organized crime"	0.0751738
employment	0.0751607
"heat wave"	0.0748287
drinking	0.0746489
"oil price"	0.0745516
disturbance	0.0744259
"noise level"	0.0743588
urbanization	0.0743421
subsidence	0.0743355
slowdown	0.0743006
temperature	0.0741855
inequality	0.0741322
"substance abuse"	0.0738163
"unemployment rate"	0.0736676
defect	0.073356
concentration	0.0732433
tension	0.0730281
cholera	0.0727926
alcohol	0.0727669
crisis	0.0726694
turmoil	0.0725587
cancer	0.0723353
"production cost"	0.0722392
"child abuse"	0.0722037
allergy	0.072094
deficit	0.072079
gridlock	0.072019
burden	0.071788
"blood pressure"	0.0715575
"flash flood"	0.0713405
downturn	0.0713143
"drug addiction"	0.0712894
moisture	0.0712715
shortfall	0.0711034
fertility	0.0709351
"cardiovascular disease"	0.0708504
arsenic	0.0708476
"high blood pressure"	0.0708271
health	0.070812
seepage	0.0708078
"oil production"	0.0703969
growth	0.0702546
"side effect"	0.0701984
"plant disease"	0.0701797
"price increase"	0.070061
heat	0.0699162
Addiction	0.0698961
air	0.069856
expenditure	0.0698505
earthquake	0.069574
odor	0.0695652
productivity	0.0695351
))
("air power" (desc 8974.52) (sims
firepower	0.127874
"military force"	0.121997
"air attack"	0.103171
gunship	0.0935967
warplanes	0.0926227
airstrike	0.0896944
"military action"	0.0873453
airstrikes	0.0849097
weaponry	0.0811585
diplomacy	0.0801961
artillery	0.0800913
Apaches	0.0800393
"military campaign"	0.0779736
"nuclear weapon"	0.0772807
"personnel carrier"	0.0757079
"naval forces"	0.071639
bombardment	0.0713856
"surface-to-air missile"	0.0688651
"air raid"	0.0687281
armor	0.0687263
intervention	0.0683818
"air defense"	0.0668974
infantry	0.0665779
"computer technology"	0.0660894
"heavy weapon"	0.0651274
fighter-bombers	0.0650695
"scientific method"	0.065007
capability	0.0647249
"ground attack"	0.0636207
armada	0.0624677
"cluster bomb"	0.0616306
"civil disobedience"	0.0607982
"attack aircraft"	0.0599749
"military capability"	0.0587992
tactic	0.0585411
"mortar fire"	0.0583784
"artillery fire"	0.0578397
munition	0.0575968
peacekeeper	0.0572135
armament	0.0571484
"military mission"	0.0570151
defoliant	0.0568769
missile	0.0565388
statesmanship	0.0561105
"missile defense system"	0.0560119
self-regulation	0.0557019
"military vehicle"	0.0556975
"Air Force"	0.0552966
bomber	0.0552335
Presense	0.054576
determination	0.0542589
counterattack	0.0539294
counter-offensive	0.0537079
"tear gas"	0.0533581
"rocket launcher"	0.0533413
self-restraint	0.0533344
superiority	0.0531719
warfare	0.0531618
frogmen	0.0530042
warplane	0.0523943
clout	0.0521455
NMD	0.0521376
reinforcement	0.0520605
aggression	0.0517931
sportsmanship	0.0517554
"spy satellite"	0.051754
"combat mission"	0.0511147
warship	0.0511055
insecticide	0.0510753
"poison gas"	0.0510559
"genetic engineering"	0.0510277
"command post"	0.0509307
propaganda	0.050711
"drawing power"	0.049272
fungicide	0.0491194
hardware	0.0487349
Encryption	0.0486275
"attorney-client privilege"	0.0484406
"psychological warfare"	0.0483637
"nuclear energy"	0.0481924
"high technology"	0.0481554
"First Amendment"	0.0481159
"security measures"	0.0479218
"intelligence operation"	0.047639
"armed forces"	0.047611
flexibility	0.0474543
"public opinion"	0.0470052
"fighter aircraft"	0.046991
"military installation"	0.046962
sortie	0.0469113
onslaught	0.0467714
surveillance	0.0466798
"first pitcher"	0.0465435
courage	0.0465273
"mass transit"	0.0464935
ruse	0.0462661
CFCs	0.0461685
"military personnel"	0.0460771
troops	0.0460493
"international law"	0.0460221
"nuclear power"	0.045936
"military unit"	0.0459275
"bombing run"	0.0458504
herbicide	0.0457917
"aircraft carrier"	0.0457511
solidarity	0.0456574
"atomic energy"	0.0455922
prowess	0.045509
dollarization	0.0454768
shelling	0.0454595
launcher	0.0453839
diversification	0.0451417
agro-technology	0.0449865
leverage	0.0449543
Manpower	0.0449323
laser	0.0445013
GPS	0.0444693
deterrence	0.0444653
atrocity	0.0444414
cryptography	0.0444044
"army engineer"	0.0443913
repression	0.0443889
endoscope	0.0443248
revers	0.044309
"enforcement action"	0.0441594
firearm	0.0440666
"military police"	0.0439805
lawlessness	0.0439471
"common sense"	0.0437612
"law enforcement"	0.0436208
"good will"	0.043406
"double standard"	0.0434021
"communications satellite"	0.0433438
overflights	0.0433225
"deficit spending"	0.0432151
"information technology"	0.0432121
"Willie Horton"	0.04303
coercion	0.0430258
embargo	0.0427857
restraint	0.0427521
"rate cut"	0.0427256
reservist	0.0427086
"water cannon"	0.0425749
"computer program"	0.0425025
AZT	0.0424469
ploy	0.0423765
protectorate	0.0423487
"American plane"	0.0423461
"safety measure"	0.042326
manoeuvre	0.0422688
expertise	0.0422465
firmness	0.0421279
mercenary	0.0420886
"police force"	0.0420563
"patrol boat"	0.0419882
"civil liberty"	0.0419339
Vaccine	0.0419171
radar	0.0419046
airfield	0.041735
sonar	0.0416886
vigilance	0.0416779
"security force"	0.0416589
"Antiquities Act"	0.0416097
preparedness	0.0415825
bloodshed	0.0415286
"possible action"	0.0413372
"interest rate increase"	0.0413214
mortar	0.0412843
disunity	0.0411666
"temporary worker"	0.0411603
"rule of law"	0.0411307
ordnance	0.0410329
DDT	0.0408883
readiness	0.040772
cleansing	0.0405989
honesty	0.0405884
mobility	0.0405692
"market force"	0.0404929
"right of way"	0.0404383
versatility	0.040432
methodology	0.0403688
"fossil fuel"	0.0403258
"trade policy"	0.0403173
separatist	0.0403065
Gambit	0.0402578
"oil production"	0.0402146
"distribution network"	0.0401858
"proxy fight"	0.0401802
"computer network"	0.040163
munitions	0.0401382
"war game"	0.0401251
"circumstantial evidence"	0.040062
))
("air pressure" (desc 3520.37) (sims
"relative humidity"	0.223332
humidity	0.141859
voltage	0.130101
"blood pressure"	0.126631
"heart rate"	0.1239
"blood sugar"	0.121066
"body temperature"	0.115564
temperature	0.112014
salinity	0.110012
"bank rate"	0.105575
density	0.104402
"noise level"	0.103196
glucose	0.0951833
velocity	0.0942063
precipitation	0.0902521
"cost of living"	0.0868875
"high temperature"	0.0861949
moisture	0.0854941
"ocean current"	0.0853985
dosage	0.0830827
IQ	0.0830251
"body weight"	0.0827537
"income bracket"	0.0827046
"water table"	0.0820471
ventilation	0.0785091
crosswind	0.0778246
altitude	0.0772791
"magnetic field"	0.076189
ridership	0.0760197
"water level"	0.0755273
metabolism	0.0752311
brightness	0.0751447
HDL	0.0750971
"sea level"	0.0749846
rainfall	0.0740651
"atmospheric condition"	0.0730614
"borrowing cost"	0.0724281
"rate of exchange"	0.0720018
"fertility rate"	0.0717886
"center of gravity"	0.0717408
"electric current"	0.0707911
"dust storm"	0.0705858
"birth rate"	0.0705391
respiration	0.0701226
visibility	0.0698434
"gas price"	0.0698141
"cloud cover"	0.0697082
"flow rate"	0.0695768
vibration	0.0694599
"poverty rate"	0.0687666
viewership	0.0684682
"standard of living"	0.0676234
"export sale"	0.0675754
fertility	0.0673445
weighting	0.065818
"weather conditions"	0.0653081
"low temperature"	0.0652219
intake	0.0651855
"ventilation system"	0.0647249
"mortgage rate"	0.0645652
"occupancy rate"	0.0643013
manifold	0.0635878
"bond price"	0.0634465
weightings	0.0632876
caseloads	0.0631675
gust	0.0631055
"labor cost"	0.0623299
"gasoline tax"	0.0623246
Snowfall	0.0620265
"tax rate"	0.0618186
thermometer	0.0613589
birthrate	0.0613332
macro-economy	0.0606644
"rain shower"	0.0600358
"circadian rhythm"	0.0599989
pH	0.0598353
"operating cost"	0.0597604
"asset value"	0.0596867
"cost structure"	0.0596518
"selling price"	0.0593584
oxygen	0.0593062
"rough water"	0.0592739
"death rate"	0.0590903
"water vapor"	0.0586245
"crime rate"	0.0586005
"medicare payment"	0.0583826
horsepower	0.058344
"balance of power"	0.0582747
"oil price"	0.0582014
added-value	0.0580352
"life expectancy"	0.0578192
ozone	0.0574173
"rate of growth"	0.057234
"market order"	0.0569213
"operating expenses"	0.0568381
"light touch"	0.0567267
joblessness	0.0563422
thermostat	0.0560081
"tax bracket"	0.0558513
thickness	0.0557755
"exchange rate"	0.0557453
"market condition"	0.0557075
"voter turnout"	0.055522
suction	0.0552255
"tax income"	0.0549666
cholesterol	0.0548504
"bond rating"	0.0544524
"money supply"	0.0541719
hemline	0.0541034
"retirement age"	0.0540596
"marketing cost"	0.0539835
remuneration	0.0538092
profitability	0.0537771
"foot traffic"	0.0537411
"interest income"	0.0532703
capitalisation	0.0532518
"social status"	0.0532228
radioactivity	0.0530067
"vacancy rate"	0.0529426
"funds rate"	0.0526755
shredders	0.0526281
cloudiness	0.0523306
"air current"	0.0523032
"test score"	0.0522532
"debt load"	0.0521272
"pay rate"	0.0521231
"ultraviolet radiation"	0.0520042
self-esteem	0.051965
"flight path"	0.0518886
"aircraft order"	0.0517663
tempo	0.0517628
"phone bill"	0.0517357
"trade wind"	0.0516487
mobility	0.0515118
"weather forecast"	0.0514617
"factory order"	0.0514151
"food supply"	0.0513838
"head count"	0.0513516
"mortality rate"	0.0513266
headcount	0.051197
"retail price"	0.0511754
sunlight	0.0511198
sealant	0.0509525
"hydrogen sulfide"	0.0509291
morale	0.0506799
"hot weather"	0.0505708
felling	0.0504522
"take-home pay"	0.0503098
"Social Security benefit"	0.0502442
incidence	0.0502425
"purchase price"	0.0499615
wattage	0.0499485
"credit rating"	0.0498629
LDL	0.0498328
coolant	0.04974
"frame of mind"	0.049589
gasket	0.0495481
"production cost"	0.0494203
"elephant population"	0.049298
"key rate"	0.0492276
"consumer demand"	0.0492083
"tax collection"	0.0491143
p.r	0.048923
gravity	0.0488806
"truck sale"	0.0486259
homeownership	0.0486252
updraft	0.0485482
enrolment	0.0484638
octave	0.0484089
"tax revenue"	0.0483851
spacing	0.048327
configuration	0.0482868
variability	0.0481162
liquidity	0.0479727
"brain wave"	0.0477593
"one inch"	0.0475383
threshhold	0.0474218
"profit margin"	0.0473095
"defense budget"	0.0472542
"rate of inflation"	0.047191
"medical practice"	0.0470174
mileage	0.047011
bandwidth	0.0469904
frequency	0.0469469
"environmental condition"	0.0469322
"leg bone"	0.0467579
prevalence	0.0467429
dictation	0.0467056
"jet stream"	0.0466282
airflow	0.0465974
enrollment	0.0465386
"investor confidence"	0.046525
"social system"	0.0464634
emission	0.0464559
payouts	0.0464341
Fares	0.0462598
"solar power"	0.046211
rpm	0.0460695
"capital expenditure"	0.0460671
adhesion	0.0460481
))
("air raid" (desc 26564.4) (sims
"air attack"	0.315157
bombardment	0.298535
airstrikes	0.262819
raid	0.237183
shelling	0.214648
strike	0.192014
attack	0.182672
bombing	0.182041
airstrike	0.177198
"military action"	0.163767
offensive	0.159423
"military campaign"	0.154821
aggression	0.149796
"ground attack"	0.136046
assault	0.135504
ambush	0.124685
"air-to-surface missile"	0.12157
warplanes	0.119015
"bomb blast"	0.114246
sortie	0.113192
"bombing run"	0.111205
"surprise attack"	0.109979
fighting	0.109743
artillery	0.109497
invasion	0.109429
clash	0.10493
incursion	0.103454
crackdown	0.101645
explosion	0.101091
blast	0.100745
massacre	0.0994414
onslaught	0.0982137
counterattack	0.0976435
missile	0.0964874
barrage	0.0960162
atrocity	0.0953882
"artillery fire"	0.0952084
bomb	0.0947948
blockade	0.0922492
Quake	0.0919692
"war game"	0.0907673
skirmish	0.0899478
firing	0.0896718
earthquake	0.0885341
killing	0.0874899
intervention	0.0873742
"military mission"	0.0857521
rioting	0.085133
war	0.0850737
embargo	0.0845365
violence	0.0839001
tornado	0.0838312
riot	0.0834396
siege	0.0833987
rampage	0.0825645
gunfire	0.0824771
"mortar fire"	0.0820744
shooting	0.0807216
"flash flood"	0.0800781
bloodshed	0.0797041
eruption	0.0796281
reprisal	0.0793031
tremor	0.07898
gunfight	0.0786744
escalation	0.0783644
walkout	0.0773256
blitz	0.0773041
looting	0.0764815
sanction	0.0760903
incident	0.0757821
manoeuvre	0.0751177
temblor	0.0748677
abduction	0.0744808
landslide	0.0743172
"drive-by shooting"	0.0742011
unrest	0.0741643
evacuation	0.0739236
maneuver	0.0738781
kidnapping	0.0734263
patrol	0.072989
provocation	0.0725364
repression	0.0723058
action	0.0722894
confrontation	0.0721157
demonstration	0.0721109
occupation	0.0712954
assassination	0.0712852
mudslide	0.0707023
blaze	0.0704525
protest	0.0704361
"cluster bomb"	0.0699246
deployment	0.0699182
"car bomb"	0.0698808
purge	0.0695647
flood	0.0695509
cleansing	0.0694258
accident	0.0693465
mishap	0.0691588
NATO	0.0687447
"air power"	0.0687281
hostility	0.0677776
combat	0.0675946
"nuclear explosion"	0.067318
Typhoon	0.0672108
terrorism	0.0670856
expulsion	0.0667937
shootout	0.0664128
conflict	0.0662453
exercise	0.0660567
warfare	0.0658877
robbery	0.0658312
casualty	0.0657649
rocket	0.0657414
uprising	0.0655748
closure	0.0653939
spree	0.0653737
sickout	0.0652037
"military force"	0.0650743
counter-offensive	0.0648052
arson	0.064741
tsunami	0.0643496
"combat mission"	0.0639757
buildup	0.0638411
disaster	0.0635066
"civil war"	0.0634192
sabotage	0.0628552
"Operation Desert Fox"	0.0626982
boycott	0.0626203
shoot-out	0.0622403
seizure	0.0622223
destruction	0.0619805
"work stoppage"	0.0619738
rainstorm	0.0618785
retaliation	0.0617937
hijacking	0.0617699
flooding	0.0617348
cyclone	0.0616386
downpour	0.0615334
Mission	0.0612499
flare-up	0.0612213
Execution	0.0609458
coup	0.0609412
storm	0.060848
gunbattle	0.0607827
"forest fire"	0.0607584
patrolling	0.0606624
bloodletting	0.0604673
"coup attempt"	0.0604173
"police action"	0.0601154
wave	0.0599827
slaughter	0.0597172
twister	0.0594488
rebellion	0.059414
Hezbollah	0.0593817
guerrilla	0.0593355
snowstorm	0.059281
genocide	0.0592105
"heat wave"	0.0591622
troop	0.0587921
warplane	0.0587913
carnage	0.0584802
takeover	0.0581385
"rate cut"	0.0580825
outbreak	0.0577723
gunbattles	0.0575492
brutality	0.0574996
slaying	0.0572718
aerial	0.0572538
firefight	0.057064
Collision	0.0568403
sell-off	0.0567876
scuffle	0.0567233
catastrophe	0.0565306
harassment	0.0561433
spill	0.0561098
bomber	0.0560288
famine	0.0558977
"fatal accident"	0.0556915
rain	0.0555157
conflagration	0.0554597
mortar	0.055456
pullout	0.0554472
detonation	0.0554241
selloff	0.0552498
Grenade	0.0550505
shutdown	0.0550237
"North Atlantic Treaty Organization"	0.0549317
violation	0.0548414
"volcanic eruption"	0.0547304
holdup	0.0545816
mutiny	0.0544263
"hunger strike"	0.0543938
excavation	0.0542419
standoff	0.0540475
insurgency	0.0538804
revolt	0.0538568
turmoil	0.053446
spraying	0.0532507
detention	0.0530381
"armed robbery"	0.0528549
))
("Air Transport Association" (desc 1985.51) (sims
"American Association of Health Plans"	0.298171
"American Petroleum Institute"	0.251819
"Securities Industry Association"	0.22427
"Recording Industry Association of America"	0.223306
"Wine Institute"	0.218369
"Human Rights Campaign"	0.209482
"Motion Picture Association of America"	0.201903
"National Council of La Raza"	0.191105
"Families USA"	0.1905
"Handgun Control Inc."	0.184491
"Handgun Control"	0.17572
"Association of Flight Attendants"	0.175573
"Log Cabin Republicans"	0.17125
"Cuban American National Foundation"	0.170732
"World Jewish Congress"	0.170181
"Southeastern Legal Foundation"	0.167257
"Center for Responsive Politics"	0.15101
"Allied Pilots Association"	0.148894
"Conference Board"	0.143917
"Southern Poverty Law Center"	0.142609
"Judicial Watch"	0.141428
"American Bankers Association"	0.141237
"Family Research Council"	0.140783
"Natural Resources Defense Council"	0.140237
"Violence Policy Center"	0.139226
"National Federation"	0.138289
"Electronic Frontier Foundation"	0.137888
"Electronic Privacy Information Center"	0.136797
"Air Line Pilots Association"	0.13592
"National Abortion and Reproductive Rights Action League"	0.134767
"American Association of Retired Persons"	0.133778
"Operation Lifeline Sudan"	0.132925
"National Association of Manufacturers"	0.132806
"Port Authority of New York"	0.132546
"Health and Human Services Department"	0.131109
"National Association of Realtors"	0.130094
"National Alliance"	0.129984
"Common Cause"	0.129461
"Center on Budget"	0.128665
"National Council of Churches"	0.128311
"Anti-Defamation League"	0.127645
"National Education Association"	0.127518
"American Lung Association"	0.126944
"Public Citizen"	0.126892
"Urban Institute"	0.125376
"International Rescue Committee"	0.123482
"National Republican Congressional Committee"	0.121888
"League of Conservation Voters"	0.12097
"French Foreign Ministry"	0.119656
"Democratic Leadership Council"	0.119482
"Kaiser Family Foundation"	0.11838
"Center for Democracy"	0.115498
"Business Council"	0.11525
"Iraqi National Congress"	0.114336
"Sydney Organizing Committee"	0.113108
"Department of Public Safety"	0.112738
"Transparency International"	0.112518
"U.S. Chamber of Commerce"	0.111497
"Consumers Union"	0.111181
Oxfam	0.110755
"National Association"	0.110315
"Chevron Corp."	0.11023
"Board of Elections"	0.110022
"Commission on Presidential Debates"	0.109855
"American Civil Liberties Union"	0.109473
"Time Warner Cable"	0.109218
"International Badminton Federation"	0.108948
"National Association of Securities Dealers"	0.108093
"Rainbow/PUSH Coalition"	0.106881
"American Medical Association"	0.10648
"Bill Lockyer"	0.105973
"National Marine Fisheries Service"	0.105537
"Sierra Club"	0.104641
"College Board"	0.104547
"Airport Authority"	0.10445
AAA	0.104087
"U.S. Immigration and Naturalization Service"	0.10399
"Democratic Congressional Campaign Committee"	0.102988
Greenpeace	0.102978
"Forrester Research"	0.102924
TrustE	0.102885
"Amnesty International"	0.102474
AARP	0.102278
"Human Rights Watch"	0.102029
"Texas Department of Public Safety"	0.101707
"World Church"	0.100601
"National Election Committee"	0.0979244
"Office of Management and Budget"	0.0973879
"Republican Leadership Council"	0.0967353
"Department of Foreign Affairs"	0.0964571
"National Transportation Safety Board"	0.0959718
"National Audubon Society"	0.0958329
"Institute of Medicine"	0.0952035
"National Bureau of Statistics"	0.0948302
"U.N. World Food Program"	0.0948118
"State Statistics Bureau"	0.0941537
AFL-CIO	0.0940847
"Main Events"	0.0939213
"U.N. High Commissioner for Refugees"	0.0933284
"U.S. Agriculture Department"	0.0930755
"AMR Corp."	0.0930477
"National Democratic Alliance"	0.0927923
HKMA	0.0927359
"Department of Environmental Conservation"	0.0920096
"Consumer Federation"	0.0917408
"Central Bureau of Statistics"	0.0914893
"Justice Ministry"	0.0914683
"RAND Corp."	0.0911224
"Communications Workers of America"	0.0910526
GOPAC	0.0908024
"Continental Airlines"	0.090731
"Mary Jo White"	0.0902444
"U.S. Soccer Federation"	0.0902318
"BankBoston Corp."	0.0897899
"CBS Sports"	0.0897844
"Heritage Foundation"	0.0896901
"Promise Keepers"	0.0894032
"Hong Kong Tourist Association"	0.0889713
NTSB	0.0887721
"trade association"	0.0885234
"Jupiter Communications"	0.0877851
"Department of Transportation"	0.087058
"Urban League"	0.0868488
"New York Times Co."	0.086504
"Department of Commerce"	0.0863935
HKTA	0.0863898
"British High Commission"	0.0862796
"American Cancer Society"	0.0861594
"Ministry of Trade and Industry"	0.0858369
"Environmental Defense Fund"	0.0854205
"British Airways"	0.0854189
"Central Bank of Kenya"	0.0851635
ACLU	0.0850556
"American Heart Association"	0.0849996
"Cato Institute"	0.0848258
"Department of Environmental Protection"	0.0845697
"Bank for International Settlements"	0.0843286
"Pan Africanist Congress"	0.0841856
"Health Department"	0.0841467
"Hong Kong Monetary Authority"	0.0838097
"United Nations High Commission for Refugees"	0.0837577
"machinists union"	0.083756
Missourian	0.0835899
"Federal Trade Commission"	0.0834823
"Democratic Action"	0.0834409
Hynes	0.0826089
"New York Civil Liberties Union"	0.0824863
"Independent Electoral Commission"	0.0821639
"National Academy of Sciences"	0.081907
"Chinese Foreign Ministry"	0.0817309
"American Federation"	0.0815572
"Federal Aviation Administration"	0.0810041
"United Nations Population Fund"	0.0809208
"American Jewish Committee"	0.080826
"Inter-American Development Bank"	0.0807471
DRI	0.079857
"Yankee Group"	0.0798149
"Bank of Montreal"	0.0796751
Dataquest	0.0793633
UNAIDS	0.0792844
"State Administration of Taxation"	0.0790272
"Treasury Department"	0.0789495
"U.S. Census Bureau"	0.0786758
"Tamil Eelam"	0.0784143
mujahedeen	0.0778737
"Real IRA"	0.0777808
"Screen Actors Guild"	0.0772789
"National Electoral Commission of Nigeria"	0.0772357
"National Association of Broadcasters"	0.0770476
"Dan Glickman"	0.0768406
"Department of Health and Human Services"	0.0768289
"Transportation Department"	0.07681
"Tourism Authority of Thailand"	0.0767308
"Health Care Financing Administration"	0.0765767
"National Organization"	0.0765336
SSB	0.0764435
NAACP	0.0762766
"National Highway Traffic Safety Administration"	0.0760348
"International Association of Machinists"	0.0758026
"Department of Agriculture"	0.0748671
guild	0.0748598
Caritas	0.074837
"District Council"	0.0745401
"NFL Players Association"	0.0745366
"National Rifle Association"	0.0744704
"Eliot Spitzer"	0.0742454
continental	0.074148
"American Red Cross"	0.0737181
"English Football Association"	0.0737139
"Delta Airlines"	0.0734244
"U.S. Fish and Wildlife Service"	0.072997
"Philippine Central Bank"	0.0729716
Eximbank	0.0729425
"Economic Planning Agency"	0.0729297
IEA	0.0729212
"Department of Corrections"	0.0728824
UAL	0.0726027
"Con Edison"	0.0725895
"Department of Health"	0.0724608
"Boeing Co."	0.0721001
))
("air travel" (desc 12605.1) (sims
travel	0.132713
transportation	0.113332
transport	0.113185
airfare	0.102703
shipping	0.0904505
"telephone service"	0.090334
traffic	0.0896021
aviation	0.088824
tourism	0.0840606
"plane ticket"	0.0838521
"housing sale"	0.0836354
"consumer credit"	0.0825781
banking	0.0813086
telecommunication	0.0810051
"heating oil"	0.0803061
"money supply"	0.079765
commerce	0.0793929
"transportation system"	0.0777913
fare	0.0765978
e-commerce	0.0759464
retailing	0.0735798
"bus service"	0.0728301
importation	0.0727774
navigation	0.0724091
freight	0.0722727
shipment	0.0716743
consumption	0.0714546
rental	0.0714494
"public transport"	0.0711212
Housing	0.0711024
"insurance market"	0.0704258
"business activity"	0.0702194
lodging	0.0702102
Trucking	0.0699293
communication	0.069916
lending	0.0694689
"phone service"	0.0693965
shopping	0.0693963
booking	0.069239
"international flight"	0.0688065
transit	0.0678157
distribution	0.0673735
"gas price"	0.0672067
usage	0.0667948
remittance	0.0666271
"electronics industry"	0.0663451
productivity	0.0661448
"oil price"	0.0657751
borrowing	0.0656001
accommodation	0.0651304
"oil production"	0.0647839
"food supply"	0.0644105
electricity	0.0642865
manufacturing	0.0641883
FDI	0.0638654
"labor cost"	0.0637928
"truck sale"	0.0636223
"home sale"	0.063555
"child care"	0.0635367
"mass transit"	0.0632108
"water supply"	0.0632015
"airplane ticket"	0.0624994
"real estate"	0.0624026
auto	0.0623597
employment	0.0623043
ridership	0.062119
commuting	0.0620252
"cellular telephone"	0.0616232
airline	0.0613156
"personal computer"	0.0611885
"medical care"	0.0611355
telephony	0.0607874
gambling	0.0607163
"long-distance call"	0.0602318
delivery	0.0601856
"labor market"	0.0598536
servicing	0.0598162
trading	0.0596401
refining	0.0596354
mining	0.0592343
computing	0.0592133
"retail sale"	0.0590481
"steel production"	0.0589442
"automobile industry"	0.0588418
"postal service"	0.0585586
"health care"	0.0584413
"securities market"	0.0584104
"consumer goods"	0.0581657
fishing	0.0581075
"electric power"	0.0579743
parking	0.0578283
taxation	0.0577555
logging	0.0576161
"world economy"	0.0575308
Gaming	0.0574641
"office space"	0.0574475
"insurance premium"	0.0573302
"nuclear power"	0.05725
Tuition	0.0569707
"labor force"	0.0569658
broadcasting	0.0569109
long-distance	0.0568158
publishing	0.0567175
transaction	0.0566737
"vehicle sale"	0.0566682
childcare	0.0564706
"commercial activity"	0.0563993
"higher education"	0.0563196
"trading activity"	0.0562924
"free trade"	0.0562796
"prescription drug"	0.0561902
fishery	0.0560389
Advertising	0.0559597
resale	0.0559204
gasoline	0.0557356
"life insurance"	0.0556754
"bank deposit"	0.055537
"insurance business"	0.0555129
retail	0.0550994
"cable television"	0.0550459
"consumer demand"	0.0549783
printing	0.0548624
agriculture	0.0547622
megaplexes	0.0545438
postage	0.0544629
networking	0.0544597
smoking	0.0543088
inflow	0.054151
"tax collection"	0.0541143
"building material"	0.0539888
financing	0.0538306
broadband	0.0536111
farming	0.0535873
watering	0.0535302
connectivity	0.0533653
wage	0.053247
procurement	0.0532145
"crude oil"	0.0531792
"aircraft order"	0.0530375
"computer hardware"	0.0529434
automobile	0.0528687
planting	0.0527871
carrying	0.0525804
"crime rate"	0.0525348
subscription	0.0524947
"equity market"	0.0524377
"customer service"	0.0524322
schooling	0.0524026
viewership	0.0523761
rail	0.052251
issuance	0.0522394
insurance	0.0522285
"banking industry"	0.0519696
workplace	0.0519673
enrollment	0.0519093
marketing	0.0517848
"household appliance"	0.0516766
railway	0.051657
giving	0.0515552
"quality of life"	0.0514887
"information technology"	0.0513482
homeownership	0.0512777
Entertainment	0.0512748
"telephone system"	0.0510461
migration	0.0509383
"power grid"	0.0508529
pension	0.0507984
"operating cost"	0.0506521
tobacco	0.050556
infrastructure	0.0505053
"gross national product"	0.0504205
"operating expenses"	0.0504154
"stock market"	0.050356
storage	0.0502147
"traffic control"	0.0501881
immigration	0.05017
"currency market"	0.0501524
sightseeing	0.0501399
"banking system"	0.050139
processing	0.0501384
"Producer Price Index"	0.0500499
integration	0.0500023
"food product"	0.049964
warehousing	0.0499417
"communications service"	0.0499357
"drug trafficking"	0.0499049
"space travel"	0.0498817
pharmaceutical	0.0498283
"computer equipment"	0.0497307
ownership	0.0497301
inventory	0.0496204
"soft drink"	0.0495643
"passenger car"	0.0495184
liquidity	0.0494742
railroad	0.0494455
"property tax"	0.0491726
dining	0.0491669
"interest income"	0.0491507
"oil market"	0.0491279
smuggling	0.0491258
))
(air-conditioner (desc 8136.13) (sims
conditioner	0.304023
"washing machine"	0.271628
"tv set"	0.193726
"household appliance"	0.192288
"color television"	0.18969
refrigerator	0.1851
"microwave oven"	0.183482
"cassette recorder"	0.169007
appliance	0.164177
"sewing machine"	0.162878
"electric fan"	0.158292
"water heater"	0.157848
"machine tool"	0.154366
"home appliance"	0.153704
dishwasher	0.140278
"television set"	0.129221
compressor	0.124731
"fax machine"	0.123826
"tape recorder"	0.119466
stereo	0.11931
"communications equipment"	0.117151
stove	0.117024
"videocassette recorder"	0.116915
"memory chip"	0.114496
air-conditioning	0.112814
"consumer electronics"	0.112626
dryer	0.111694
"hand-held computer"	0.108225
electronics	0.10817
faucet	0.10815
"telephone set"	0.106469
"vacuum cleaner"	0.106257
VCR	0.105031
"integrated circuit"	0.104595
"building material"	0.104384
machinery	0.103071
"stereo system"	0.102207
"electronic equipment"	0.102144
Motorcycle	0.101908
automobile	0.101857
"consumer goods"	0.101242
semiconductor	0.101092
Projector	0.100616
toaster	0.100297
"picture tube"	0.0989204
bicycle	0.0973912
"hair dryer"	0.097239
recorder	0.0965577
heater	0.0960831
cooker	0.0952366
"passenger car"	0.0941898
"diesel engine"	0.0936787
garment	0.0930636
washer	0.0930515
"durable goods"	0.0922021
microwave	0.0917097
"personal computer"	0.0908869
switchboard	0.0908473
"motor vehicle"	0.0907986
copier	0.0892545
"disk drive"	0.0888499
foodstuff	0.0888219
conditioning	0.0885867
"alcoholic beverage"	0.0884591
"steel plate"	0.0881586
"heating system"	0.0880889
pharmaceutical	0.087824
equipment	0.0876008
thermostat	0.0875012
peripheral	0.0864982
VCD	0.0861996
"cellular phone"	0.0859745
"optical fiber"	0.0857997
"gas stove"	0.0856806
generator	0.0855525
fridge	0.0853546
"spare part"	0.084771
boiler	0.084245
newsprint	0.0836904
"automatic teller machine"	0.0834094
cosmetic	0.0832031
furniture	0.0831528
petrochemical	0.0825835
telephone	0.0820016
"computer equipment"	0.0816167
auto	0.0815826
fertilizer	0.0812007
"computer hardware"	0.0809285
cement	0.0805551
detergent	0.0802
cookware	0.0799425
kinescope	0.079942
microchip	0.0795735
"food product"	0.0795653
turbine	0.079247
Tyre	0.0790427
"aircraft part"	0.0789157
jewellery	0.078707
"kitchen appliance"	0.0781484
PC	0.0780152
"office furniture"	0.0780069
"security system"	0.0779546
pagers	0.0779084
printer	0.0778045
camcorders	0.0777834
"water pump"	0.0777671
ethylene	0.0772636
hardware	0.0770756
knitwear	0.0769588
"CD player"	0.0769439
accessory	0.0767885
"cooling system"	0.0767515
"dairy product"	0.0767045
"electronic device"	0.0763324
textile	0.0762034
"solar cell"	0.0761981
"electric motor"	0.0755565
footwear	0.075383
freezer	0.0751898
"palm oil"	0.0750786
battery	0.0750391
"car seat"	0.0748354
lubricant	0.0747886
"compact disc"	0.0745576
pager	0.0743819
workstation	0.0738848
apparel	0.0735288
"power unit"	0.0728944
"catalytic converter"	0.0728679
"consumer durables"	0.0727508
gadget	0.0724412
microprocessor	0.0724351
"coffee maker"	0.0722215
ceramic	0.0720075
beverage	0.0713747
"fish meal"	0.071319
furnace	0.0711616
handset	0.0710059
"sound system"	0.0708622
"soft drink"	0.070647
"lawn mower"	0.0703617
"hearing aid"	0.0698959
"vending machine"	0.0695216
lumber	0.0690395
"electric power"	0.0690046
steel	0.0688106
"raw material"	0.0685309
tractor	0.0681833
oven	0.0681376
elevator	0.0680721
"cashew nut"	0.0676707
beepers	0.0676114
jewelry	0.0673947
"cellular telephone"	0.0668448
spigot	0.0667469
"alarm system"	0.0666672
phonograph	0.0665469
"laptop computer"	0.0660307
headlight	0.0659176
engine	0.0659113
transformer	0.065874
"household product"	0.0653638
utensil	0.0652882
scanner	0.0651674
"power tool"	0.0651188
jute	0.0650455
"electric light"	0.0650102
"air filter"	0.0648352
"software package"	0.0646393
motor	0.0646143
"test equipment"	0.0643286
laptop	0.0643284
"telephone line"	0.0643217
"telephone system"	0.064111
"light bulb"	0.0636876
timepiece	0.0636433
"medical instrument"	0.0636118
"plate glass"	0.0635936
toilet	0.0635658
IC	0.0635546
CRT	0.0634955
"compact car"	0.0634678
wiper	0.063431
"gas turbine"	0.0631672
"sprinkler system"	0.0625603
harvester	0.0625508
microcomputer	0.0622276
"mineral water"	0.0622257
"software product"	0.0621523
"X-ray machine"	0.0620821
lysine	0.0620685
"liquefied petroleum gas"	0.0620104
"black tea"	0.0619489
Robot	0.0618675
"electrical device"	0.0618579
handicraft	0.0616063
"California wine"	0.0615164
sprinkler	0.0613379
electricity	0.0611466
"fuel cell"	0.0607609
))
(air-conditioning (desc 12182.2) (sims
conditioning	0.224973
"cruise control"	0.146808
"power steering"	0.142391
"air bag"	0.133215
"automatic transmission"	0.132973
"outside mirror"	0.129825
conditioner	0.128884
stereo	0.128343
plumbing	0.127029
wiper	0.12381
defroster	0.116507
gearbox	0.115987
ventilation	0.115525
"steering wheel"	0.11531
brake	0.113921
air-conditioner	0.112814
sunroof	0.10803
refrigeration	0.107981
heating	0.102174
heater	0.101144
sprinkler	0.100149
"central heating"	0.0986984
headlight	0.0965102
"sound system"	0.094438
Lighting	0.093014
"alarm system"	0.0925953
"bucket seat"	0.0917108
steering	0.0900248
"stereo system"	0.0899857
avionics	0.0891976
"windshield wiper"	0.0870532
airbags	0.0865984
"sprinkler system"	0.0838991
refrigerator	0.0822916
thermostat	0.0820271
"heating system"	0.0811096
"CD player"	0.0808742
"seat belt"	0.0803669
"fire alarm"	0.0800424
elevator	0.0786161
mirror	0.0784264
"security system"	0.0779092
"suspension system"	0.0776823
"cooling system"	0.0774791
electricity	0.0772084
appliance	0.0765449
toilet	0.0746878
"traffic light"	0.0745087
fireplace	0.0734128
"water pump"	0.0726681
"sliding door"	0.0724805
Filtration	0.071739
detector	0.0716575
VCR	0.0699753
bathroom	0.0699668
"washing machine"	0.0698408
wheel	0.0697393
telephone	0.0694808
"catalytic converter"	0.0694676
lamp	0.0690707
"television set"	0.0683571
faucet	0.0682577
"color television"	0.0682251
"tv set"	0.0677907
fascia	0.0676233
"audio system"	0.0672601
seating	0.0669249
converter	0.0668921
ac	0.0666253
"fire extinguisher"	0.0665779
"communications equipment"	0.0658197
"gas stove"	0.0654714
traction	0.0652943
"ventilation system"	0.0645228
engine	0.0634068
stove	0.06326
"cable television"	0.0629013
"safety feature"	0.0628059
"cellular phone"	0.0627457
vent	0.0622952
automatic	0.0622715
"electric light"	0.062265
wiring	0.0619376
"control system"	0.0612351
transmission	0.060997
turbine	0.06091
dishwasher	0.0606192
"satellite receiver"	0.0605065
"electrical power"	0.0604658
boiler	0.0602884
armrest	0.0602676
"aircraft engine"	0.0601166
radar	0.060064
storage	0.0600064
"water heater"	0.0598878
acoustic	0.0597265
"sewer system"	0.0592752
"telephone exchange"	0.0590825
Projector	0.0589642
instrumentation	0.0589067
axle	0.0585951
generator	0.0585329
sanitation	0.0583399
"sewing machine"	0.057983
roofing	0.0579084
sonar	0.0577289
flashlight	0.0576179
furniture	0.0574992
"steam turbine"	0.0570662
dryer	0.0570631
"household appliance"	0.0567198
amenity	0.0564967
"tape recorder"	0.0562774
spoiler	0.0561564
"cellular telephone"	0.0560585
"air duct"	0.0558517
escalator	0.0556725
"home appliance"	0.0554804
"garbage disposal"	0.0552344
telecommunication	0.0551908
furnace	0.0551611
"kerosene lamp"	0.0550324
"hearing aid"	0.0549045
typewriter	0.0548243
"solar energy"	0.0547451
roof	0.0547292
"telephone line"	0.0546765
"sewage disposal"	0.0546765
motor	0.0545634
machinery	0.0545491
transformer	0.054136
"water tank"	0.0540207
alternator	0.0534924
mammography	0.0534168
"electric motor"	0.0533976
ignition	0.0533301
compressor	0.0531989
transmitter	0.0528759
defibrillator	0.0527263
upholstery	0.0525692
"fiber optics"	0.0524961
landscaping	0.0524699
"optical fiber"	0.0523615
"electronic equipment"	0.0521015
carpeting	0.0519068
"light bulb"	0.0517549
ABS	0.0516277
windshield	0.0516133
tub	0.0516071
irrigation	0.051484
"phone line"	0.0514203
valve	0.0513805
changer	0.0511561
"wireless telephone"	0.0511145
"telecommunication system"	0.0509801
"videocassette recorder"	0.0508668
propulsion	0.0508288
duct	0.0508283
legroom	0.0508278
"vacuum cleaner"	0.0507486
"data communication"	0.0502342
"solar power"	0.0502331
recorder	0.0502134
transportation	0.0501128
furnishings	0.0500103
kitchen	0.049767
restroom	0.0495994
"hair dryer"	0.0495846
headlamp	0.0494885
"data processing"	0.0493219
electronics	0.0493022
switchboard	0.0492931
"French door"	0.0492819
"cassette recorder"	0.049212
gadget	0.0489359
"computer network"	0.0488947
sensor	0.048849
"personal computer"	0.0488458
"sitting room"	0.0487948
kitchenette	0.0487754
beepers	0.0487461
copier	0.0485516
microphone	0.0485463
"dry ice"	0.0485328
sewerage	0.0485096
"electric power"	0.0485062
"fax machine"	0.0484479
"telephone network"	0.0483795
"water supply"	0.0482088
"consumer electronics"	0.0478555
"Windows Media Player"	0.0478427
"disk drive"	0.0478321
"machine tool"	0.0475936
pager	0.0475863
purification	0.0474526
console	0.0474326
"electrical system"	0.0473929
"X-ray machine"	0.0473592
modem	0.0471547
kit	0.0471408
))
("air-to-air missile" (desc 2307.43) (sims
"surface-to-air missile"	0.144219
"fighter aircraft"	0.139042
"weapons system"	0.126308
"ballistic missile"	0.115049
"surface ship"	0.111219
avionics	0.111073
"nuclear warhead"	0.102152
"thermonuclear warhead"	0.101564
"rocket launcher"	0.101113
launcher	0.100263
"guided missile"	0.099086
sonar	0.0926836
interceptor	0.0924532
"air-to-surface missile"	0.0923374
destroyer	0.0892089
Tomahawk	0.0889076
torpedo	0.0884786
"UNIX operating system"	0.0882784
SA-@	0.0859332
machineguns	0.0853791
frigate	0.0820787
weaponry	0.0798902
howitzer	0.0794154
agro-technology	0.0791932
"weapon system"	0.0787357
"rocket engine"	0.0735301
Uzi	0.0732396
armament	0.0728017
"patrol boat"	0.0721983
"communications equipment"	0.0716035
artillery	0.07123
minesweeper	0.0691805
warplanes	0.0684602
warhead	0.0684197
"torpedo boat"	0.0680887
"communications service"	0.0678008
"weather satellite"	0.067707
"machine gun"	0.0667893
"automatic rifle"	0.0665322
machine-guns	0.0658907
warship	0.065858
mortar	0.0657939
"attack submarine"	0.0654895
cannon	0.0645528
munition	0.0640894
"communications technology"	0.0626218
"jump shot"	0.0616492
agro-techniques	0.0614219
"air defense"	0.0607593
"surveillance system"	0.0604573
"control system"	0.0602686
"spy satellite"	0.0596706
carbine	0.0594754
corvette	0.0594691
"computer equipment"	0.0594364
endoscope	0.0589977
"suspension system"	0.0586679
"rescue equipment"	0.0581938
"June Jones"	0.0581515
"automatic teller machine"	0.0573917
"communication system"	0.0571449
"early warning system"	0.0570512
"application program"	0.05685
"jet plane"	0.0564818
F-@@s	0.0563964
"computer technology"	0.0558177
"electronic device"	0.0555213
ICBM	0.0550423
"cluster bomb"	0.0548739
"global positioning system"	0.0547434
"hand grenade"	0.0546941
"aircraft carrier"	0.0544941
musket	0.0544031
Scud	0.0543354
"intercontinental ballistic missile"	0.0542415
airball	0.0536696
speedboat	0.0536152
"electronic warfare"	0.0533898
"container ship"	0.0526405
"hydrogen bomb"	0.0523616
"water filter"	0.0522022
algorithm	0.0521152
"software system"	0.051974
"machine tool"	0.0519719
"medical instrument"	0.0519705
wrister	0.0519557
"booby trap"	0.0514758
cannonball	0.0512623
"missile defense system"	0.0511667
"hydraulic system"	0.0508624
"sawed-off shotgun"	0.0505773
slingshot	0.0504537
flamethrower	0.0499064
bazooka	0.0498208
"communications network"	0.0497469
projectile	0.0496065
Byrdsong	0.0495768
"production equipment"	0.0493693
stents	0.0492762
gunboat	0.0490866
"Kyle Brady"	0.0490398
Warshaw	0.0488907
"X-ray machine"	0.0488492
drone	0.0487081
"Thomson Multimedia"	0.0486877
"atomic bomb"	0.0486873
"software package"	0.0486498
"nerve gas"	0.0485741
"pipe bomb"	0.048468
"chemical agent"	0.0484537
"silicon chip"	0.0481854
"electronic equipment"	0.0478531
X-@@	0.0478433
"slide rule"	0.047742
slapper	0.0476606
aquiculture	0.0468742
electrocardiogram	0.046801
silo	0.0466915
"controlling interest"	0.0466067
Ftorek	0.046605
"accounting system"	0.0465894
simulator	0.0462684
cannister	0.0462376
jetliner	0.0461783
boiler	0.0461577
A-@@	0.0461123
"communications satellite"	0.0460644
"steam locomotive"	0.0460479
Palczynski	0.0459484
NMD	0.0457276
"neutron bomb"	0.045674
supercomputers	0.0454962
sorter	0.0451809
orderliness	0.0450618
"weather forecasting"	0.0448808
crossbow	0.0448034
A@@@-@@@	0.0447717
"computer language"	0.044537
"artillery unit"	0.0445054
"electric car"	0.0444986
"Lee Harvey Oswald"	0.0443741
"defense system"	0.0441207
"Bora Milutinovic"	0.0441023
F-@@	0.0440561
"personnel carrier"	0.0438594
know-how	0.0438094
TMD	0.0437222
"alarm system"	0.0437073
"poison gas"	0.0437024
MiG-@@s	0.0436877
grub	0.0435646
"explosive device"	0.0434543
optic	0.0434346
S-@@@	0.043414
photocopier	0.0433643
fighter-bombers	0.0432847
"data communication"	0.0432837
"submachine gun"	0.0432033
"incentive program"	0.043193
"propulsion system"	0.0431101
A@@@	0.0430663
"point system"	0.0429854
Mendez	0.0427665
emplacement	0.0426361
DV	0.04262
"San Franciscans"	0.0425057
"military capability"	0.0424926
"Rolls-Royce Motor Cars"	0.0424822
SDH	0.0422634
"driving school"	0.0422419
"Dennis Erickson"	0.0421852
modeling	0.0420685
Dougherty	0.0419359
"video equipment"	0.0417666
"Jocelyn Thibault"	0.0417237
"Mike Hargrove"	0.041541
"nuclear reactor"	0.041488
maneuverability	0.0413857
"meteorological satellite"	0.0408155
purifier	0.040676
"Tele-Communications Inc."	0.0404358
gunship	0.0404298
"power unit"	0.0403185
"memory chip"	0.0402856
"telecommunication system"	0.0401189
))
("air-to-surface missile" (desc 3757.81) (sims
machineguns	0.140766
"air raid"	0.12157
artillery	0.0938335
"air-to-air missile"	0.0923374
bombardment	0.0830374
mortar	0.0710812
cannonball	0.0682552
shelling	0.0671753
SA-@	0.0644707
Scud	0.0637261
"cluster bomb"	0.0620136
Grenade	0.0614369
"P.J Carlesimo"	0.0611704
"surface-to-air missile"	0.0611024
Tomahawk	0.0595232
"automatic rifle"	0.0593287
"rocket launcher"	0.0572417
launcher	0.056834
projectile	0.0563916
"ball bearing"	0.0558235
Warshaw	0.055314
"American plane"	0.0549766
Uzi	0.0545804
"machine gun"	0.0525851
"mortar fire"	0.0509585
fighter-bombers	0.0498008
"Molotov cocktail"	0.0496318
potshot	0.0492725
warplanes	0.0490339
machine-guns	0.0486343
howitzer	0.0473088
ICBM	0.0462277
manoeuvre	0.0456156
cannister	0.0443966
"John Calipari"	0.0443012
firebomb	0.0442684
"Dom Capers"	0.0441868
"hand grenade"	0.0435453
"ballistic missile"	0.0430645
salvo	0.0430065
"water cannon"	0.0429284
"artillery fire"	0.0423042
"Boomer Esiason"	0.0421989
"Dave Wannstedt"	0.041694
"Glenn Hoddle"	0.0412575
"guided missile"	0.0411548
"tear gas"	0.0410763
"hydrogen bomb"	0.0403918
sentry	0.0403338
"Dennis Erickson"	0.0403188
"Joint Strike Fighter"	0.0402364
interceptor	0.0402347
"artillery unit"	0.0400342
))
(airbags (desc 2974.82) (sims
"air bag"	0.29642
headrest	0.176669
"seat belt"	0.131584
"bucket seat"	0.120204
"power steering"	0.117872
legroom	0.110724
headroom	0.10726
"suspension system"	0.104502
"sliding door"	0.0976478
"safety belt"	0.0891563
air-conditioning	0.0865984
fascia	0.0827875
"cruise control"	0.0825597
brake	0.0813671
"outside mirror"	0.079336
"landing gear"	0.0786355
seatbelt	0.0769267
bumper	0.0759297
"catalytic converter"	0.0754321
armrest	0.0719603
spoiler	0.0701827
axle	0.070045
"gas pedal"	0.0677852
"car seat"	0.0666706
upholstery	0.063848
gearbox	0.0638318
sunroof	0.0628854
"automatic transmission"	0.06216
"shock absorber"	0.0577551
"X-ray machine"	0.0570104
"safety feature"	0.0565441
headlamp	0.0562593
"smoke alarm"	0.0558214
fender	0.0557159
occupant	0.0552469
floorboard	0.0546215
wiper	0.0538255
"electrical device"	0.0532827
reverser	0.0526609
jacks	0.0520572
conditioning	0.0518774
"Audi A@"	0.0515032
"brake system"	0.0510366
"emergency exit"	0.0509301
sprinkler	0.0503261
"alarm system"	0.0499134
"exhaust system"	0.0487371
"steering wheel"	0.0484438
thermostat	0.0478927
conveyor	0.0477715
"fire escape"	0.0475672
windscreen	0.0474863
purifier	0.0474694
V@	0.047419
"control system"	0.047378
"shower curtain"	0.0473539
windshield	0.0471801
taillight	0.0470131
burner	0.0465576
defroster	0.0456572
infrared	0.0455016
jeepney	0.0454244
vasectomy	0.0453395
"sprinkler system"	0.0449829
"audio system"	0.0445913
Tyre	0.0443186
"engine failure"	0.0442828
conditioner	0.0438103
"phone jack"	0.0437614
steering	0.0428622
defibrillators	0.0428438
shifter	0.0427458
traction	0.0425764
"oxygen mask"	0.0423759
avionics	0.0423681
reversers	0.0422678
"inventory control"	0.0415571
"Windows Media Player"	0.0415507
changer	0.0414955
V-@@	0.0412818
shoring	0.0412427
stereo	0.0410721
"traffic light"	0.0410011
"tool kit"	0.0407371
"satellite receiver"	0.0406285
staterooms	0.0402543
four-cylinder	0.0402349
heater	0.0401595
))
(airball (desc 1313.25) (sims
"hook shot"	0.167095
"bank shot"	0.13007
floater	0.106458
"jump shot"	0.105846
buzzer-beater	0.105544
tip-in	0.104212
jumper	0.104196
putback	0.0935518
three-pointer	0.0904774
inbounds	0.0872229
"chip shot"	0.0815957
wrister	0.0778748
sloop	0.0773888
lateral	0.0759731
three-point	0.0743254
oar	0.0696336
gerbil	0.0695515
chip-in	0.068926
layup	0.0674965
"ad blitz"	0.0671796
Aprilia	0.0651255
Longo	0.0634077
"another @"	0.0633284
wingspan	0.0629952
lifeboat	0.0623095
"another @-pointer"	0.0622055
"cabin cruiser"	0.0612055
"service break"	0.0604983
powerboat	0.0598424
curler	0.0593174
"A.P Indy"	0.0584932
easement	0.0571577
bullfrog	0.0567764
Grbac	0.056283
Trey	0.0558037
policewoman	0.0549879
game-winner	0.0544532
"break of serve"	0.0543908
"air-to-air missile"	0.0536696
"Orthodox Jew"	0.0535161
"corner kick"	0.0533346
"Opium War"	0.0533163
"foul shot"	0.0530949
"Le Defi Francais"	0.0530046
zinger	0.0526734
career-best	0.0526567
jumpers	0.0526013
McMellon	0.0519003
three-pointers	0.0517265
"David Spade"	0.051507
tribesman	0.0514285
Wiberg	0.0509543
"employment contract"	0.0509326
ex-girlfriend	0.0508246
slipup	0.0505933
Montalvo	0.0504554
"fire extinguisher"	0.0503667
"takeover attempt"	0.049953
"order form"	0.0498672
"two @@-year-olds"	0.0497443
"school girl"	0.0496073
smooch	0.0494646
passerby	0.0494572
"cargo container"	0.0493636
go-slow	0.049235
"America True"	0.0491185
"Young America"	0.0490462
"proxy fight"	0.0490025
alligator	0.0489158
"pop fly"	0.048738
knucklehead	0.0486419
"round of golf"	0.0484485
effigy	0.0484375
equaliser	0.0483186
slapper	0.048192
ICBM	0.0479888
vagrant	0.047782
"lounge chair"	0.0470063
motorcyclist	0.04698
technicals	0.0469002
instructions	0.0468476
"True Thing"	0.0466787
HITMAN	0.0463105
"police captain"	0.0463049
serviceman	0.0462492
"sand wedge"	0.0462485
census-takers	0.046191
"Ryan Kealy"	0.0461072
BB	0.0459608
putsch	0.0458718
eavesdropper	0.0458535
"Steve Shields"	0.0457859
tarantula	0.0456239
TD	0.0453819
Olano	0.0453466
striper	0.045245
Gillom	0.0451935
"clock tower"	0.0451872
"piano player"	0.0451186
foul-up	0.045067
crotch	0.0449927
skeet	0.0447449
"trial balloon"	0.0445925
cherub	0.0445729
Englishwoman	0.0445644
rowboat	0.0445223
abortionist	0.0445062
"evening bag"	0.0444688
"pocket watch"	0.0442304
Hoch	0.0441381
"Streetcar Named Desire"	0.044009
armadillo	0.0439259
counter-offensive	0.0439199
Auger	0.0435557
"first basket"	0.043493
Tomahawk	0.043484
nuttiness	0.0434775
flack	0.043334
"Atlantic salmon"	0.0432506
"Peter Bondra"	0.0431744
"John Vanbiesbrouck"	0.04297
Grunow	0.0429393
trespasser	0.0429373
stilt	0.04278
"Indian Air Force"	0.0427515
gopher	0.0427074
"adult male"	0.0425928
op-ed	0.0425851
"two baskets"	0.0425649
led	0.0424897
Artest	0.0424784
Poole	0.0424673
enquiry	0.0424124
"period piece"	0.0423939
"medical exam"	0.0423865
zingers	0.0423786
ruckus	0.0423546
speedboat	0.042347
"piece of music"	0.0423371
Virginian	0.0423304
resistence	0.0423276
pickoff	0.0422307
"employment report"	0.0421939
"interior decorator"	0.0420586
Afro	0.0419738
Amedure	0.0419367
ejection	0.0418961
"intelligence operation"	0.0418412
Timms	0.0418236
musket	0.0417997
"Travis Best"	0.0417576
"one go"	0.0417024
"security consultant"	0.0416511
Bostonian	0.0415909
"Antonio Daniels"	0.0414797
"Mars Global Surveyor"	0.0414586
"inferiority complex"	0.0414362
annotation	0.041409
"communications satellite"	0.041401
counterbid	0.041386
"fire hose"	0.0413195
stole	0.0412806
A@@@-@@@	0.0412216
iguana	0.0412056
tete-a-tete	0.0411696
"field trial"	0.0411494
"wild boar"	0.0410799
"robbery suspect"	0.0410623
outrigger	0.0410088
"Bengal tiger"	0.0410052
A@XX	0.0409613
"two @-pointers"	0.0409495
Sainz	0.0409348
bloke	0.0409218
redhead	0.0408833
croissant	0.0408533
dinghy	0.0407763
off-balance	0.0406843
"incentive program"	0.0406643
"screen pass"	0.0405203
cannonball	0.0404872
"Trajan Langdon"	0.0404423
mix-up	0.0404061
airstrike	0.040369
"surprise attack"	0.0403659
omelette	0.0402904
arboretum	0.0402345
Mihm	0.0402145
Igloo	0.0401874
"investment company"	0.0401809
militiaman	0.0401783
Seizinger	0.0401734
Tanui	0.0401703
"Amani Toomer"	0.0401383
"Mikhail Shtalenkov"	0.0401381
jeremiad	0.0400813
"Rex Chapman"	0.0400464
marksman	0.0400288
"bond offering"	0.0400258
))
(airbase (desc 8058.78) (sims
"air base"	0.296047
airfield	0.146795
airstrip	0.135941
"John F. Kennedy International Airport"	0.10334
"Macao International Airport"	0.0986348
Stansted	0.0970038
"Hong Kong International Airport"	0.0969674
"army base"	0.0938232
"Kennedy International Airport"	0.0911161
"Andrews Air Force Base"	0.0909753
Aviano	0.0904293
"Elephant Pass"	0.0884812
"Kennedy Airport"	0.0860334
"Ben-Gurion Airport"	0.0848845
"Miami International Airport"	0.0847107
"railway station"	0.0845131
Incirlik	0.0828169
airspace	0.0801721
"Dulles International Airport"	0.0790782
Kilinochchi	0.0785971
"military post"	0.0775658
"Heathrow Airport"	0.0764984
barrack	0.0747046
Mankulam	0.074625
Bukavu	0.0743513
"Logan International Airport"	0.0733757
Taloqan	0.073213
"military headquarters"	0.0722674
"Camp Pendleton"	0.0713368
"U.N. Headquarters"	0.069409
"supply route"	0.0692919
garrison	0.0679383
"Newark International Airport"	0.0674241
"Kennedy Space Center"	0.0658834
"Fort Lewis"	0.0647859
"Entebbe International Airport"	0.0641758
"military installation"	0.0636677
"military position"	0.0632896
Jaffna	0.0626474
"Fort Dix"	0.0624376
"Fort Hood"	0.0622689
frontlines	0.0616212
stronghold	0.0615261
"railroad station"	0.0615144
"British Embassy"	0.061323
"O'Hare International Airport"	0.0610941
"Kai Tak"	0.0607044
"military hospital"	0.0605621
"Capital Airport"	0.0593765
"Los Angeles International Airport"	0.0590323
"command post"	0.0587309
"navy base"	0.0580273
Midrand	0.0579694
"naval forces"	0.0576126
depot	0.0575892
"Cape Canaveral"	0.0556256
heliport	0.0554678
Paranthan	0.055293
Podujevo	0.055078
protectorate	0.0542201
"power station"	0.0540809
checkpoint	0.0540636
"Fort Bragg"	0.0539361
hangar	0.0537484
seaport	0.0536555
"Hartsfield International Airport"	0.0533117
Bamiyan	0.0532147
Mazar-e-Sharif	0.0529067
"U.S. Embassy"	0.0528684
Hartsfield	0.0528037
"San Pedro Sula"	0.0527907
"Camp Zeist"	0.0522353
junction	0.0521183
sanatorium	0.0517915
consulate	0.0516821
"Camp Abubakar"	0.0515656
Heathrow	0.0513505
Vavuniya	0.0512274
"Jaffna Peninsula"	0.0505322
"sea lane"	0.0505053
Kindu	0.0503704
"police station"	0.0503579
Kandahar	0.0502502
Makeni	0.0502318
Monastery	0.0498
Badme	0.0495541
"bus station"	0.0493608
"Happy Valley"	0.0491806
Goma	0.0490454
Guadalcanal	0.048795
peninsula	0.0479759
lowland	0.0478897
"Fort Campbell"	0.047829
"German Embassy"	0.047682
"La Guardia Airport"	0.0470592
Kenema	0.0470508
manoeuvre	0.0469899
Castle	0.0467111
Izmit	0.0465346
"firing range"	0.0464986
Jezzine	0.0462066
"Kuala Lumpur International Airport"	0.0458505
refinery	0.045727
"police headquarters"	0.0456484
Baikonur	0.0453751
"Charles de Gaulle"	0.045368
campground	0.045307
"staging area"	0.0451208
"industrial park"	0.0449334
Kismaio	0.0448936
anchorage	0.0447677
"Johnson Space Center"	0.0447234
Talipao	0.044294
hideout	0.0442386
outpost	0.0437698
"Parliament House"	0.0437291
"air force officer"	0.0436732
Tripoli	0.0435876
Uvira	0.0435523
Katmandu	0.0435282
"La Guardia"	0.0434031
"train station"	0.0433849
statehouse	0.0433386
"Manuel Noriega"	0.042889
Jalalabad	0.0428477
"Anlong Veng"	0.0427284
Stormont	0.0427105
Decani	0.0423126
shipyard	0.042242
enclave	0.0421973
"about @@:@@"	0.0421971
Kisangani	0.0421169
"oil rig"	0.0420052
"observation post"	0.0419205
"emergency landing"	0.0415621
serviceman	0.0415543
dacha	0.0414916
"Interstate @@"	0.0414398
"supply line"	0.0414008
LaGuardia	0.0413928
Convent	0.041367
"bus stop"	0.0412651
Kabul	0.0412619
"Omaha Beach"	0.0411945
Logan	0.0411368
"traffic circle"	0.0409356
Ceyhan	0.040912
"intelligence officer"	0.0406696
"Jordan Valley"	0.040599
"resort hotel"	0.0405611
"petrol station"	0.0405551
"Highway @@"	0.0403952
"Suez Canal"	0.0402201
Huambo	0.0401711
))
(Airborne (desc 1497.6) (sims
"Airborne Division"	0.233425
"Infantry Division"	0.134067
DHL	0.124843
"United Parcel Service"	0.115478
infantry	0.0927031
UPC	0.0876297
"World Health Assembly"	0.0823565
Acer	0.0803411
Fedex	0.0791124
"Infantry Battalion"	0.0787919
"Boston Marathon"	0.076362
Regiment	0.0749668
gendarmerie	0.0697048
"Albanian Kosovo Liberation Army"	0.0675016
"Cannes Film Festival"	0.0662709
"Legion of Honor"	0.0649879
"Special Forces"	0.0645144
"Indonesian Armed Forces"	0.0641447
"Annual Meeting"	0.0638163
"Millrose Games"	0.0633479
"police boat"	0.0629495
"Liberation Front"	0.0615511
"British Empire"	0.0584881
"Delta Force"	0.0563591
"South African National Defense Force"	0.055409
Avis	0.0545887
"blue angel"	0.0544619
"Islamic Revolution Guards Corps"	0.054364
"World Congress"	0.0542097
"Ministerial Meeting"	0.0541214
WNBF	0.0532669
"Emmy Awards"	0.0499902
"Tony Awards"	0.0480234
"wedding party"	0.0477624
"Grammy Awards"	0.0475586
"Implementation Force"	0.0474275
Webvan	0.0471866
"Air Force Reserve"	0.0471552
"World Bank Group"	0.0469868
"U.N. Observer Mission"	0.0468723
"American Legion"	0.046845
"National Police"	0.0468285
INTERFET	0.046556
"National Guard"	0.0464745
"Revolutionary Guards"	0.0461627
cavalry	0.0459984
"Federal Express"	0.0457768
"United States Congress"	0.0456404
"South Lebanon Army"	0.0455611
KNU	0.0454666
AMM	0.0450537
Intuit	0.0445403
infantrymen	0.0441257
"paramilitary organization"	0.0438593
"U.N. Mission"	0.043602
"Indonesian Military"	0.0434561
"Russian Navy"	0.0432434
"International Maritime Organization"	0.0432298
"U.S. Postal Service"	0.0431988
"Self-Defense Forces"	0.0430754
KPA	0.0429266
"Republican Guard"	0.0428746
"ASEAN Ministerial Meeting"	0.042693
"Northern Fleet"	0.0426545
Caen	0.0425185
"Operation Lifeline Sudan"	0.0424834
"Islamic Revolutionary Guards Corps"	0.0423726
"South Lebanese Army"	0.0421851
"Monetary Policy Committee"	0.0421613
"enforcement division"	0.041744
"Zapatista National Liberation Army"	0.0416338
"Universal Music Group"	0.0413228
"Southern Command"	0.0410192
"PLO Executive Committee"	0.0410185
"Kosovo Verification Mission"	0.0409879
"Ford Motor"	0.0404202
"Human Rights Commission"	0.0401591
))
("Airborne Division" (desc 2377.18) (sims
"Infantry Division"	0.402554
Airborne	0.233425
"Special Forces"	0.189664
"Infantry Battalion"	0.189162
"Delta Force"	0.162071
cavalry	0.142504
Regiment	0.141225
infantry	0.140858
Brigade	0.127099
"Southern Command"	0.112646
battalion	0.108681
"Islamic Revolution Guards Corps"	0.103429
"Revolutionary Guards"	0.101404
"Islamic Revolutionary Guards Corps"	0.0977248
"World Health Assembly"	0.094841
"Annual Meeting"	0.0921558
AMM	0.0876265
"Republican Guard"	0.0829167
UPC	0.0810351
squadron	0.0789599
"Army Air Corps"	0.0779088
"Fort Bragg"	0.0740736
"South Lebanon Army"	0.0718478
"Uganda People's Defense Forces"	0.0718111
"World Congress"	0.0717193
"Street Crime Unit"	0.0700184
"Plenary Session"	0.0697464
paratroops	0.0680846
"Indonesian Armed Forces"	0.0677996
"Ministerial Meeting"	0.0672815
Vedeno	0.0672121
"Liberation Front"	0.0661896
percentile	0.0648392
"National Police"	0.0625458
"South Pacific Forum"	0.0623245
"Liberation Army"	0.0616292
"Fort Hood"	0.0606817
"Northern Fleet"	0.0599076
INTERFET	0.059888
"National Guard"	0.0598644
ld	0.0590602
"blue angel"	0.0586136
"People's Liberation Army"	0.0583742
"Rwandan Patriotic Front"	0.0572263
"Texas Air National Guard"	0.0567265
"Red Army"	0.0565065
"Emmy Awards"	0.0558412
"Cannes Film Festival"	0.0558333
"military unit"	0.0557707
"police precinct"	0.0556396
Ld-Writethru	0.0550022
"U.N. Interim Force in Lebanon"	0.0546357
"Millrose Games"	0.0539955
gendarmerie	0.0532233
"wedding anniversary"	0.0526073
"military police"	0.0524306
paratrooper	0.0523549
"U.S. Army"	0.0516506
prvs	0.0516428
"Stabilization Force"	0.0507899
"Self-Defense Forces"	0.0506857
"ASEAN Ministerial Meeting"	0.0505578
IRGC	0.0493969
garrison	0.0487841
NATO-led	0.0487316
basij	0.0487159
"Legion of Honor"	0.0487027
"firing range"	0.0485923
"Air Force Reserve"	0.048428
"South African National Defense Force"	0.0481714
"Albanian Kosovo Liberation Army"	0.0478255
"professional association"	0.0477966
"Moro National Liberation Front"	0.047684
KNU	0.0476567
"British Empire"	0.0476143
"Los Angeles Police Department"	0.0474573
"Space Needle"	0.0471018
"Special Session"	0.0469182
"South Lebanese Army"	0.0469005
Gurkha	0.0468877
"military academy"	0.0462133
"Indy @@@"	0.0461224
"Scottish Parliament"	0.045953
"World Conference"	0.0458007
"New York Police Department"	0.0455475
"Andean Community"	0.045118
"high command"	0.0450604
government-in-exile	0.0446127
"Circuit Court"	0.0445365
"American Legion"	0.0441622
"Russian Navy"	0.0439924
KFOR	0.0439031
"Monetary Policy Committee"	0.0436612
"Canadian Alliance"	0.0435244
mujahedeen	0.0434798
"Real IRA"	0.0433204
Os	0.0431551
"British Army"	0.0428701
"Black Sea Fleet"	0.0428391
"military band"	0.0428355
"Grammy Awards"	0.0425938
"Tupac Amaru Revolutionary Movement"	0.0423591
"Indonesian Military"	0.042209
Apaches	0.0421913
taskforce	0.0421412
"World Tourism Organization"	0.0418743
"International Conference"	0.0416339
"Philadelphia Orchestra"	0.0411041
"Kurdish Workers Party"	0.0409533
"battle group"	0.040771
UNPREDEP	0.0406673
"merchant marine"	0.0406593
"Marine Corps"	0.0403725
UPDF	0.040093
LRA	0.0400736
))
(Airbus (desc 19803) (sims
"Airbus Industrie"	0.287317
Boeing	0.192233
"Airbus A@@@"	0.175508
"McDonnell Douglas"	0.137761
A@@@	0.134453
jetliner	0.133378
"Airbus @@@"	0.130372
Embraer	0.125715
A@@@-@@@	0.124125
A-@@@	0.121986
DC-@	0.121898
DC-@@	0.121232
Swissair	0.118174
"Lockheed Martin"	0.11731
MD-@@	0.112795
"Boeing Co."	0.110809
TWA	0.108548
"Gulf Air"	0.108424
Lockheed	0.10112
airliner	0.100441
TU-@@@	0.098278
USAir	0.0970937
widebody	0.0966935
"Indian Airlines"	0.0958952
airline	0.0955423
"Air France Concorde"	0.0948005
consortium	0.0947804
Airlines	0.0943743
Compaq	0.0931178
EgyptAir	0.0923966
"Kenya Airways"	0.0910386
Garuda	0.0888645
aircraft	0.0877248
Pfizer	0.0874617
"Singapore Airlines"	0.0870861
KLM	0.0870302
Arianespace	0.0867364
Raytheon	0.0864096
A@XX	0.0861496
jet	0.0858545
"American Airlines"	0.0851773
"British Airways"	0.0850328
"America West"	0.0845165
"China Airlines"	0.0843648
"Cathay Pacific"	0.0842132
Rolls-Royce	0.0841206
Dell	0.0839911
"Boeing company"	0.0837756
bombardier	0.0822172
Cessna	0.0812988
C-@@@	0.081228
FAA	0.0810263
"Air France"	0.0809283
Motorola	0.0804699
MiG-@@	0.0800857
Hughes	0.079931
Intel	0.0793953
Nortel	0.0793398
Concorde	0.0791899
AN-@@	0.0788692
"Korean Air"	0.0785421
BellSouth	0.0783359
"General Motors"	0.0779194
F-@@	0.0776655
Netscape	0.076914
"Deutsche Telekom"	0.0767896
SBC	0.0765794
Olivetti	0.0765545
Microsoft	0.0763849
IBM	0.0762078
Cisco	0.0761778
Hasbro	0.0760574
"Netscape Communications Corp."	0.0759274
Globalstar	0.0758965
Sabena	0.0758792
"United Airlines"	0.0757169
"MCI WorldCom"	0.0753961
Lycos	0.0753105
plane	0.0753088
Celera	0.0751527
Il-@@	0.0750771
"El Al"	0.0750746
osprey	0.0748483
airplane	0.0747416
MCI	0.0746684
"British Aerospace"	0.0743994
manufacturer	0.0743541
Iberia	0.0741101
PLDT	0.0739352
Vodafone	0.0738432
"Air Canada"	0.073608
"De Beers"	0.0735481
DaimlerChrysler	0.0735328
Alitalia	0.073135
GM	0.0730611
"Alaska Airlines"	0.0729951
"Smith &AMP; Wesson"	0.0728728
C-@@	0.0727457
Mannesmann	0.0727317
"Thai Airways"	0.0726644
delta	0.0724676
Nokia	0.0723419
Aeroflot	0.0723233
Qwest	0.0717369
Ericsson	0.0712372
turboprop	0.0711208
"Philip Morris"	0.0709499
ValuJet	0.0708888
"Lockheed Martin Corp."	0.0708315
automakers	0.0704122
BMW	0.0703901
Honeywell	0.0703899
"Canadian Airlines"	0.0702812
"Johnson &AMP; Johnson"	0.0701647
Alcoa	0.0696629
"Continental Airlines"	0.0695642
Scania	0.0694588
"Bell Atlantic"	0.0693771
Ge	0.0693624
"Pratt &AMP; Whitney"	0.0692489
"Air India"	0.0692424
Comcast	0.0691434
carrier	0.0688666
NIKE	0.0685868
Mattel	0.068518
"Cessna @@@"	0.0684196
"Ford Motor Co."	0.0684008
Hewlett-Packard	0.0683976
"Time Warner"	0.0683138
"Ethiopian Airlines"	0.0682913
"Compaq Computer Corp."	0.0680985
Toyota	0.0679346
MD	0.0678882
Hyundai	0.0675273
"Pfizer Inc."	0.0671976
Fedex	0.0671955
AOL	0.0671598
Pepsico	0.0671329
Amgen	0.0668886
Warner-Lambert	0.066634
Lufthansa	0.0666322
"Air Force"	0.0666022
"Southwest Airlines"	0.0663965
Siemens	0.0663679
Genentech	0.0662151
Sotheby's	0.0661388
"Dell Computer Corp."	0.0659832
Schwab	0.0659082
Aetna	0.0657955
Monsanto	0.0656406
Learjet	0.0655726
Cathay	0.0655479
AMD	0.0655102
Barnesandnoble.com	0.0654664
EMC	0.0652056
ARCO	0.0649962
Qantas	0.064688
AIRTRAN	0.0646533
Amazon	0.0646511
"General Electric"	0.0646417
"Pac Bell"	0.064574
supplier	0.0642589
"Pan Am"	0.0638931
corporation	0.0638768
Goodyear	0.0637715
Exxon	0.0636584
TYCO	0.0635691
Nissan	0.0634564
"Network Solutions"	0.0633825
"America Online"	0.0633283
"Microsoft Corp."	0.0632087
Amtrak	0.063064
Denel	0.0630178
Gulfstream	0.0629784
"Air China"	0.0629576
UAL	0.0628754
AlliedSignal	0.0626814
REVLON	0.0626142
Paxson	0.0625498
"Virgin Atlantic"	0.0625342
Volkswagen	0.0625301
"Delta Air Lines"	0.0622993
"Vietnam Airlines"	0.0621289
Renault	0.0620132
"US Airways"	0.0619234
Coca-Cola	0.0618762
"phone company"	0.0617355
Dupont	0.0616328
Sega	0.0615666
"American Home Products"	0.0614363
SU-@@	0.0614267
"Federal Express"	0.0613993
Mobil	0.0612808
Volvo	0.0612602
"Telecom Italia"	0.0612252
Gazprom	0.0612138
Lucent	0.0611802
Sony	0.061151
"General Motors Corp."	0.061076
"Flight @@@@"	0.0610632
))
("Airbus @@@" (desc 1521.69) (sims
"Airbus A@@@"	0.334855
"Cessna @@@"	0.306105
A-@@@	0.300332
Cessna	0.278002
A@@@-@@@	0.249796
DC-@	0.237941
DC-@@	0.236533
"Air France Concorde"	0.231584
Learjet	0.208594
MD-@@	0.205385
turboprop	0.195944
Il-@@	0.194918
MiG-@@	0.190748
TU-@@@	0.179581
C-@@@	0.170416
"Flight @@@@"	0.162145
A@@@	0.159815
Prowler	0.156781
"China Airlines"	0.154898
USAir	0.154112
AN-@@	0.152144
osprey	0.15202
jetliner	0.151802
Concorde	0.151049
"Indian Air Force"	0.144438
"EgyptAir Flight @@@"	0.144045
"Alaska Airlines Flight @@@"	0.143393
A@XX	0.138232
SU-@@	0.136893
"Turkish Airlines"	0.135989
"Flight @@@"	0.130617
Airbus	0.130372
Harrier	0.129591
widebody	0.127953
F-@	0.126572
EgyptAir	0.126425
two-seater	0.126094
"electronic warfare"	0.125647
"jet plane"	0.124457
P-@	0.123051
"Swissair Flight @@@"	0.122601
C-@@	0.121181
Mig	0.119183
F-@@	0.118651
C-@	0.117407
"TWA Flight @@@"	0.116329
Hercules	0.115657
airliner	0.113744
"Korean Air"	0.113394
"Gulf Air"	0.11318
"Ethiopian Airlines"	0.112437
AWACS	0.112284
"Indian Airlines"	0.110995
"Stage @"	0.109558
A-@@	0.108858
Mini-bus	0.107442
biplane	0.107325
"Royal Air Force"	0.106111
C-@@@J	0.105976
F-@@@	0.103387
MD	0.102739
"McDonnell Douglas"	0.100769
"blue angel"	0.0997543
"Kenya Airways"	0.0982211
"Vietnam Airlines"	0.0976844
T-@@	0.0969988
"American plane"	0.0968835
warthog	0.0968459
warplane	0.0957143
TWA	0.0926901
"hot-air balloon"	0.0912081
"Air India"	0.0910825
IAF	0.0906679
Comair	0.0898596
glider	0.0897124
"Pan Am"	0.0891302
piper	0.0865907
Concordes	0.0861511
"U.S. Air Force"	0.0851521
"Thai Airways"	0.084571
Airlines	0.084342
ValuJet	0.0838392
chopper	0.0835422
airforce	0.0831666
Swissair	0.0831211
"loud noise"	0.0826283
"ground attack"	0.0821037
F@@	0.0816679
B-@@	0.0809502
"domestic flight"	0.0809001
"merchant ship"	0.0781114
"oil tanker"	0.0775302
McDonnell	0.076628
"Philippine Airlines"	0.0765086
freighter	0.076485
Apache	0.0762558
"passenger ship"	0.0757683
"Alaska Airlines"	0.0756739
"El Al"	0.0756134
"Airbus Industrie"	0.0736741
"Delta @"	0.0734325
RAF	0.073123
A-@	0.0730904
jeepney	0.0729502
minibus	0.0727638
"up to six"	0.0724183
"Virgin Atlantic"	0.072161
JAT	0.0720327
"Northrop Grumman"	0.0714141
"Mars Polar Lander"	0.0713901
thunderbolt	0.0696901
Iberia	0.069645
reconnaissance	0.069633
"express train"	0.0695625
"cabin cruiser"	0.06955
tanker	0.0691316
"Air France"	0.0691183
planeload	0.0690841
X-@@	0.0678468
"cargo vessel"	0.0675505
B-@s	0.0672494
"Air Canada"	0.0669243
B-@	0.0669204
Garuda	0.0662116
tomcat	0.065749
MiGs	0.0655527
JetBlue	0.0655012
ferryboat	0.0653342
Qantas	0.0650893
double-decker	0.0645303
Orion	0.064297
A@@@s	0.064097
"passenger train"	0.0640382
speedboat	0.0638576
stealth	0.0638348
"Reno Air"	0.0637352
Aeroflot	0.0635156
Embraer	0.063211
"China Southern Airlines"	0.0631834
submersible	0.0630482
"American eagle"	0.0625242
V-@@	0.0625054
tractor-trailers	0.0618423
"container ship"	0.0618315
Cassini	0.0617032
KLM	0.0615694
F-@@s	0.0611353
"South African Airways"	0.0609193
"Yankee Clipper"	0.0606414
"Marine Corps"	0.0602418
"International Association of Machinists"	0.0598677
"landing craft"	0.0598153
Lander	0.0596859
"tractor trailer"	0.0595629
mini-van	0.0595119
"United Airlines"	0.0594348
blimp	0.0593122
lorry	0.059212
"Cathay Pacific Airways"	0.0590085
"Mars Climate Orbiter"	0.0586153
"Andrea Gail"	0.0584635
"gambling casino"	0.0584372
co-pilot	0.0578507
"patrol boat"	0.057801
powerboat	0.0577993
Sabena	0.0575966
"freight train"	0.057484
K-@	0.0574744
gunship	0.0570464
"Lunar Prospector"	0.0570399
Bae	0.056475
U-boat	0.0561841
"Pan Am Flight @@@"	0.0560854
"space capsule"	0.0558029
"flight engineer"	0.0552893
Emery	0.0552361
motorboat	0.0543781
MiG-@@s	0.0543555
balloonist	0.054344
"communications satellite"	0.0541785
"Cathay Pacific"	0.0541431
"commuter train"	0.0537484
"American Airlines"	0.053657
midrange	0.0534169
interceptor	0.0532902
"fighter aircraft"	0.0531579
"supply ship"	0.0525636
"Continental Airlines"	0.0522857
Atlantis	0.0520154
"machinists union"	0.0519435
"Japan Airlines"	0.0518142
aurora	0.0516814
kamikaze	0.051558
"Another @@@"	0.0515439
Bentley	0.0515393
Apaches	0.0514285
turbo	0.0509324
U@	0.0508075
Barrasso	0.0507479
"booster rocket"	0.0506926
))
("Airbus A@@@" (desc 2508.59) (sims
"Airbus @@@"	0.334855
A@@@-@@@	0.315547
DC-@	0.282239
A@@@	0.279128
DC-@@	0.263743
A-@@@	0.25797
"Air France Concorde"	0.247511
TU-@@@	0.233794
MD-@@	0.230384
"Cessna @@@"	0.210246
Learjet	0.19386
USAir	0.190881
C-@@	0.188719
widebody	0.188224
Il-@@	0.18384
turboprop	0.183779
osprey	0.177313
Airbus	0.175508
"Alaska Airlines Flight @@@"	0.172682
MiG-@@	0.166521
AN-@@	0.165763
SU-@@	0.164533
"Thai Airways"	0.15945
jetliner	0.158866
Concorde	0.155355
F-@	0.155332
A@@@s	0.154671
C-@@@	0.154197
EgyptAir	0.153539
Cessna	0.152348
"EgyptAir Flight @@@"	0.151387
A@XX	0.150042
"Kenya Airways"	0.149824
"TWA Flight @@@"	0.147673
"Swissair Flight @@@"	0.14763
"Pan Am"	0.142739
"Indian Airlines"	0.142104
"Gulf Air"	0.141191
F-@@	0.13846
"Flight @@@"	0.138408
Swissair	0.136145
P-@	0.131862
AWACS	0.131733
"Turkish Airlines"	0.129652
TWA	0.127312
MD	0.126481
Harrier	0.126161
ValuJet	0.122864
airliner	0.122544
biplane	0.119887
C-@	0.118688
"McDonnell Douglas"	0.116744
"Stage @"	0.114847
Boeing	0.114495
"Air India"	0.113975
Airlines	0.113727
"Ethiopian Airlines"	0.111558
"electronic warfare"	0.110382
"jet plane"	0.109331
"China Airlines"	0.109171
Prowler	0.108238
Mig	0.107439
F-@@@	0.105431
"Korean Air"	0.104207
Apache	0.102886
Aeroflot	0.102877
"Alaska Airlines"	0.102689
warthog	0.101397
two-seater	0.100563
double-decker	0.0989674
Hercules	0.0980035
warplane	0.0971215
Sabena	0.0968185
"passenger ship"	0.0962019
Garuda	0.0953802
A-@@	0.0938574
T-@@	0.0935778
JAT	0.0932958
"oil tanker"	0.0931952
"Flight @@@@"	0.0923862
"Indian Air Force"	0.0922349
Iberia	0.0910576
"U.S. Air Force"	0.0897138
"American plane"	0.0896859
glider	0.0883323
"domestic flight"	0.0873934
Comair	0.0872462
"El Al"	0.086776
KLM	0.0848964
B-@	0.0842318
Mini-bus	0.0842016
tanker	0.0832226
"hot-air balloon"	0.0828827
Orion	0.0815813
freighter	0.0811203
"Eastern Airlines"	0.0806964
"Southwest Airlines"	0.0804572
tomcat	0.0795491
"container ship"	0.0794809
bomber	0.0793381
reconnaissance	0.0793123
"Trans World Airlines"	0.0786666
"ground attack"	0.0778994
B-@@	0.0778132
airforce	0.0774064
B-@s	0.077174
chopper	0.0771036
X-@@	0.077077
chinook	0.0769319
"fighter aircraft"	0.0768125
gunship	0.0766615
F-@@s	0.0761962
"Japan Airlines"	0.0760147
"South African Airways"	0.0752135
U-boat	0.0750037
Apaches	0.0746543
IAF	0.0733567
"booster rocket"	0.0731095
"Air France"	0.0730838
"patrol boat"	0.0726562
"Airbus Industrie"	0.0724941
stealth	0.0722422
ferryboat	0.0715984
tugboat	0.0714792
McDonnell	0.0714069
"Delta @"	0.0710098
"Vietnam Airlines"	0.0709971
RAF	0.0704862
"Northrop Grumman"	0.0704345
speedboat	0.0703744
A-@	0.0697515
F@@	0.0695479
Alitalia	0.0692545
"Pan Am Flight @@@"	0.0691812
"Air China"	0.0691809
impala	0.0688299
"express train"	0.0685422
Qantas	0.0683354
"Royal Air Force"	0.0679638
S-@@@	0.0677763
"cargo vessel"	0.0664853
Hindenburg	0.0660898
rickshaw	0.0652291
"International Association of Machinists"	0.0651916
"America West"	0.0651718
"Cathay Pacific Airways"	0.0651097
"Philippine Airlines"	0.0649795
hovercraft	0.0647998
"Virgin Atlantic"	0.0644392
drone	0.0640827
"merchant ship"	0.0639969
"American Airlines"	0.0638695
C-@@@J	0.0632835
"USS Enterprise"	0.0631056
thunderbolt	0.0630768
blimp	0.0629495
"Air Lanka"	0.0624099
piper	0.0622217
minibus	0.0618164
"commuter train"	0.0615705
Embraer	0.06132
"British Airways"	0.061087
"United Airlines"	0.0610723
"up to six"	0.0608269
"long haul"	0.0601746
Gulfstream	0.0601075
"Continental Airlines"	0.0600579
"Delta Airlines"	0.0598939
"cargo ship"	0.0598114
"blue angel"	0.0595591
"space capsule"	0.0594436
adenovirus	0.059235
lorry	0.0591641
Kazakh	0.058925
"American eagle"	0.0579809
"Cathay Pacific"	0.0575615
"Singapore Airlines"	0.057522
Asa	0.0573756
Hornet	0.0573117
planeload	0.0569382
Lockheed	0.056661
spotter	0.056591
Mirage	0.0563216
trawler	0.0561893
UTA	0.0558939
"Air Canada"	0.0558643
"freight train"	0.0558158
Biman	0.0556653
"aircraft carrier"	0.0554813
"China Southern Airlines"	0.055356
commuter	0.054529
"Delta Air Lines"	0.0544904
Lufthansa	0.0542436
gunboat	0.0542264
frigate	0.0539229
warship	0.053877
MiG-@@s	0.0530894
spaceship	0.0529102
JetBlue	0.0525527
"U.S. Navy"	0.0524876
))
("Airbus Industrie" (desc 7962.43) (sims
Airbus	0.287317
"McDonnell Douglas"	0.174453
"Lockheed Martin Corp."	0.134883
Embraer	0.131182
Arianespace	0.129625
"Lockheed Martin"	0.12783
Boeing	0.12541
"Boeing company"	0.120639
"Netscape Communications Corp."	0.1154
"Boeing Co."	0.112517
"Pratt &AMP; Whitney"	0.107995
consortium	0.103987
Lockheed	0.103325
"International Association of Machinists"	0.0990316
"Advanced Micro Devices"	0.0982083
"British Aerospace"	0.098043
Aerospatiale	0.0957731
"Advanced Micro Devices Inc."	0.0943763
"Compaq Computer Corp."	0.0888851
Scania	0.0887545
"Dell Computer Corp."	0.0863313
Alcatel	0.0841248
"Motorola Inc."	0.0821615
"Operation Lifeline Sudan"	0.0819112
"Singapore Airlines"	0.0817152
Raytheon	0.0816104
"Societe Generale"	0.0814908
"Gennady Zyuganov"	0.0811905
bombardier	0.0809931
"Sun Microsystems Inc."	0.0793535
"Christine Arron"	0.0790182
"Lucent Technologies"	0.0777259
"Intel Corp."	0.0774004
"Mattel Inc."	0.0767113
"Oracle Corp."	0.0757256
"Airbus @@@"	0.0736741
TRW	0.0731494
Nokia	0.0730761
Il-@@	0.0730652
"Airbus A@@@"	0.0724941
KEDO	0.0722128
Pepsico	0.0714213
widebody	0.0713201
Globalstar	0.0709009
"Cisco Systems Inc."	0.0707324
"Wyeth-Ayerst Laboratories"	0.070404
Ericsson	0.0702368
"Kenya Airways"	0.0700958
AlliedSignal	0.0694495
"Pfizer Inc."	0.0691418
Swissair	0.0689834
"British Airways"	0.0687543
"Walt Disney Co."	0.0687408
"Northrop Grumman"	0.0680125
Netscape	0.0669787
"Microsoft Corp."	0.0665739
"Ethiopian Airlines"	0.0664999
"Nortel Networks"	0.0653375
FAA	0.065134
Motorola	0.064913
"EMC Corp."	0.0648978
"Lucent Technologies Inc."	0.0645732
Denel	0.0643326
"Voter News Service"	0.0641696
Unilever	0.0638276
"Turkish Airlines"	0.063821
"Applied Materials"	0.063224
Hewlett-Packard	0.0631324
Intel	0.0621939
P-@	0.0621687
"Johnson &AMP; Johnson"	0.0620815
"SmithKline Beecham"	0.0620492
Fedex	0.0619716
"Allied Signal"	0.0619503
A@@@	0.0614639
"Glaxo Wellcome"	0.0614577
Cablevision	0.0614103
"Legend Group"	0.0612707
"Netscape Communications"	0.0611791
"Cathay Pacific"	0.0608836
"ELF AQUITAINE"	0.0606196
"National Semiconductor"	0.0599743
C-@@	0.0597869
"defense contractor"	0.0596771
"Air China"	0.0595547
MD	0.0594041
Hughes	0.059346
"Korean Air"	0.0590668
IBM	0.0589043
BMW	0.0586611
"General Motors Corp."	0.0583528
"Micron Technology"	0.0576633
"Sun Microsystems"	0.0573695
"Indian Airlines"	0.057286
"General Motors"	0.0570601
"China Eastern Airlines"	0.0570384
"auto maker"	0.0568278
Mig	0.056702
"Abbott Laboratories"	0.0566791
automakers	0.0563379
Thyssen	0.0563211
"Federal Express"	0.0562961
"Cathay Pacific Airways"	0.0562108
Rolls-Royce	0.0561438
Volkswagen	0.055981
Compaq	0.0559087
"Cisco Systems"	0.0559066
"Ford Motor Co."	0.055858
"General Electric"	0.0556022
"Mannesmann AG"	0.0552936
ABB	0.0552291
"Stage @"	0.0548975
Olivetti	0.0548876
"Indian Air Force"	0.0548811
DC-@	0.054779
EgyptAir	0.0547575
"Raytheon Co."	0.0547158
Cisco	0.0546374
"Northern Telecom"	0.054603
Sunbeam	0.0546
"El Al"	0.0545216
Iridium	0.0540223
"Ali Mahdi Mohamed"	0.0539311
REVLON	0.0538717
A-@@@	0.0538637
A@@@-@@@	0.053699
"Cox Communications"	0.0536978
"China Unicom"	0.0535235
Pfizer	0.0533732
"General Electric Co."	0.0533634
TWA	0.0533504
"electronic warfare"	0.0533344
Hasbro	0.053258
Cessna	0.0531091
DaimlerChrysler	0.0530907
RealNetworks	0.0530718
"Air France"	0.0528028
carmakers	0.0527928
"Computer Associates"	0.0527341
"American Home Products"	0.0526528
NIKE	0.0525353
"Hitachi Ltd."	0.0523427
"Smith &AMP; Wesson"	0.0522864
Renault	0.052236
"Federal Aviation Administration"	0.0522022
YankeeNets	0.0521472
Dell	0.0521427
Totalfina	0.0521377
Celera	0.0521074
"Bell Atlantic"	0.0520774
HSBC	0.0520273
"Bruno Megret"	0.0520202
Merck	0.0519215
NTL	0.0518708
"Symantec Corp."	0.0518324
"Procter &AMP; Gamble Co."	0.05177
Citibank	0.0517059
"Roosevelt Johnson"	0.0517016
Dupont	0.0515586
C-@@@	0.0515149
Daimler-Benz	0.0515112
Elf-Aquitaine	0.0513398
TU-@@@	0.0512747
multinationals	0.0512256
Amazon.com	0.0507838
"phone company"	0.0506953
Alcoa	0.0505846
LVMH	0.0505595
Christie's	0.0503868
"Coca-Cola Co."	0.0501506
aerospace	0.0500653
machinist	0.0500151
"MCI WorldCom"	0.0499709
Qualcomm	0.0499438
AN-@@	0.0499187
"Real Networks"	0.0497968
Gulfstream	0.0496392
Electrolux	0.0495732
CNET	0.0495712
IAF	0.0495693
Novartis	0.0495194
"Network Solutions"	0.0495054
NEC	0.0492694
"NEC Corp."	0.0488841
"Dell Computer"	0.0488617
Westinghouse	0.0488536
"America Online"	0.0486021
Goodyear	0.0485051
"machinists union"	0.0484817
"Industrial and Commercial Bank of China"	0.0484683
Nortel	0.0483955
"Vojislav Kostunica"	0.0483379
"Bristol-Myers Squibb"	0.0483253
"United Parcel Service"	0.048313
turboprop	0.0483012
"Renault SA"	0.0482435
Dasa	0.0481712
Lucent	0.0481478
"Continental Airlines"	0.0480118
"Gulf Air"	0.0479756
))
(aircraft (desc 139456) (sims
plane	0.393409
airplane	0.303568
jet	0.295437
helicopter	0.274582
warplanes	0.229188
jetliner	0.220827
airliner	0.212993
ship	0.198902
vessel	0.187589
bomber	0.186746
missile	0.17788
vehicle	0.171919
fighter	0.168661
MD-@@	0.166252
submarine	0.165479
flight	0.158742
F-@@	0.154926
"fighter aircraft"	0.152348
warship	0.150811
boat	0.150617
truck	0.147218
equipment	0.144642
pilot	0.140991
tanker	0.138601
warplane	0.136199
car	0.13557
tank	0.135513
bus	0.135349
F-@@s	0.134253
fighter-bombers	0.133936
Boeing	0.132765
Satellite	0.130395
train	0.128695
frigate	0.127602
fleet	0.126712
troop	0.126301
gunship	0.124566
Concorde	0.119894
airline	0.119659
automobile	0.118292
craft	0.117965
spacecraft	0.115785
shuttle	0.113838
rocket	0.11382
destroyer	0.112646
passenger	0.112065
"motor vehicle"	0.111095
freighter	0.110349
engine	0.110235
weapon	0.109248
A@@@	0.10496
"Air Force"	0.104846
"Flight @@@"	0.104722
soldier	0.104418
"patrol boat"	0.103731
personnel	0.102891
artillery	0.102749
carrier	0.101241
unit	0.100394
chopper	0.0996668
machinery	0.0989345
force	0.0987307
B-@@	0.098198
system	0.0977573
squadron	0.0974251
Computer	0.0969978
crew	0.0957175
facility	0.0949882
Motorcycle	0.0949518
radar	0.0948339
"fishing boat"	0.0945911
"oil tanker"	0.0938476
peacekeeper	0.0935859
osprey	0.0935152
ferry	0.0929361
C-@@@	0.0928522
Prowler	0.0924929
auto	0.0916256
"nuclear weapon"	0.0915155
yacht	0.0914065
"cargo ship"	0.0910903
van	0.0910555
"aircraft carrier"	0.0908857
"military personnel"	0.0904995
machine	0.0895585
MiG-@@	0.0894878
bomb	0.0893745
barge	0.0892324
"surface-to-air missile"	0.0892284
goods	0.0889214
"military vehicle"	0.0886024
jeep	0.0877726
Airbus	0.0877248
device	0.0875955
product	0.0872596
sortie	0.0871776
weaponry	0.0870081
interceptor	0.0867355
marine	0.086594
"personnel carrier"	0.0863413
cargo	0.0862076
DC-@	0.0861188
building	0.0855692
tractor	0.0855169
Ambulance	0.0854184
operation	0.0853055
reactor	0.0844847
model	0.0841075
hardware	0.0838207
transport	0.0836486
service	0.0833377
Apaches	0.0828817
plant	0.0824467
servicemen	0.0820159
appliance	0.0820151
"communications equipment"	0.0819659
"power plant"	0.0819073
route	0.0816946
"container ship"	0.0816214
aviation	0.081247
warhead	0.0812107
"crew member"	0.0807582
civilian	0.0806133
software	0.0805454
officer	0.0799939
gun	0.0797762
MD-@@s	0.0797536
worker	0.0796865
technology	0.0790888
battery	0.0790861
"ballistic missile"	0.0790246
Mission	0.0789988
chemical	0.0786173
station	0.078547
"nuclear reactor"	0.0778483
tire	0.077806
"cruise ship"	0.0777028
locomotive	0.0774865
Cruiser	0.077478
policemen	0.0772286
factory	0.0766808
generator	0.0764319
"personal computer"	0.0762736
"weapons system"	0.0760884
armament	0.0760304
police	0.0759945
company	0.0757146
component	0.0756403
electronics	0.0755799
"spare part"	0.0754333
taxi	0.0753401
"communications satellite"	0.0753261
"international flight"	0.0752262
airport	0.0751625
Sedan	0.0750175
semiconductor	0.0747018
base	0.0746895
army	0.0746692
airmen	0.0745525
installation	0.0745068
"nuclear warhead"	0.0741831
PC	0.0739733
pipeline	0.073826
munition	0.0738206
firearm	0.0736355
cockpit	0.0734961
diver	0.0732196
camera	0.0730645
lorry	0.0730583
site	0.072738
balloon	0.0726983
launcher	0.0724786
"pickup truck"	0.072417
fuel	0.0723883
military	0.0723142
chip	0.0722693
battalion	0.0721018
network	0.0720677
supply	0.0720643
navy	0.0720343
material	0.0719636
rig	0.0718643
patrol	0.0716933
airspace	0.0715078
project	0.0714889
"passenger car"	0.0711096
"domestic flight"	0.0710527
convoy	0.0709374
property	0.0708957
"passenger train"	0.0708942
terminal	0.0707564
enterprise	0.0706951
spaceship	0.0699159
bicycle	0.0693679
item	0.0693341
employee	0.0692494
speedboat	0.0688375
"armed forces"	0.0685742
runway	0.0684866
module	0.0682151
))
("aircraft carrier" (desc 16492.4) (sims
warship	0.236508
destroyer	0.185818
"USS Enterprise"	0.179197
frigate	0.170542
submarine	0.158186
"surface ship"	0.148899
"battle group"	0.148573
ship	0.129344
"naval forces"	0.128057
"attack submarine"	0.122988
minesweeper	0.120245
carrier	0.118321
vessel	0.116714
warplanes	0.115836
Cruiser	0.114736
bomber	0.113978
battleship	0.112102
gunship	0.108441
"patrol boat"	0.106002
gunboat	0.105943
"torpedo boat"	0.104484
fighter-bombers	0.10162
"landing craft"	0.0986729
"nuclear-powered submarine"	0.0980072
"container ship"	0.0963997
tanker	0.0954927
"fighter aircraft"	0.0932908
armada	0.0928093
F-@@s	0.0923762
"cargo ship"	0.0909847
aircraft	0.0908857
yacht	0.0897358
"oil tanker"	0.0892114
icebreaker	0.0841852
"cargo vessel"	0.0841807
helicopter	0.0836101
"supply ship"	0.0824181
freighter	0.0798277
paratroops	0.0787892
F-@@	0.0778341
B-@s	0.07764
fleet	0.076086
"ocean liner"	0.0746705
missile	0.0744445
"spy satellite"	0.0744284
boat	0.0742864
"fishing boat"	0.0728603
paratrooper	0.072774
"transport ship"	0.0721463
"military personnel"	0.0715181
squadron	0.0699977
marine	0.069789
A@@@-@@@	0.069557
sub	0.068924
tank	0.0688099
"passenger ship"	0.0687008
navy	0.0683939
"cruise ship"	0.0682806
warplane	0.0681532
"patrol ship"	0.0680477
"pirate ship"	0.0679262
speedboat	0.0675977
B-@	0.0670993
fighter	0.066857
trawler	0.066766
"American plane"	0.0667521
Apaches	0.0665631
"merchant ship"	0.0656781
battalion	0.0656143
"sailing ship"	0.0654449
barge	0.0648949
"military force"	0.0647476
"military vehicle"	0.0646776
Admiral	0.0642778
hovercraft	0.063829
airmen	0.0628408
jet	0.0621997
"personnel carrier"	0.0620641
cutter	0.0619573
sailboat	0.0615396
"Air Force"	0.0614752
interceptor	0.0613221
"weapons system"	0.0608976
spacecraft	0.0604193
"fire engine"	0.0600713
servicemen	0.0595722
MiG-@@s	0.0593658
"surface-to-air missile"	0.0593262
"luxury liner"	0.0590804
"communications satellite"	0.0586129
tugboat	0.0585518
diver	0.0583708
AWACS	0.0581181
"small boat"	0.0579395
"oil rig"	0.0576995
airplane	0.0573428
ferry	0.0572547
Kursk	0.0563701
"Airbus A@@@"	0.0554813
corvette	0.0553688
"fire truck"	0.0552802
"weapon system"	0.0550721
artillery	0.0548552
Satellite	0.0547906
"military unit"	0.0546184
"air base"	0.0546119
"air-to-air missile"	0.0544941
flotilla	0.0541123
A@@@s	0.0535009
B-@@	0.0534744
"rocket launcher"	0.0534717
"missile defense system"	0.0533829
A@@@	0.0533304
Eisenhower	0.0531956
S-@@@	0.0528837
"air defense"	0.0528507
jetliner	0.0521841
"atomic bomb"	0.051963
ferryboat	0.0517614
"naval officer"	0.0516914
"ballistic missile"	0.0516744
MiG-@@	0.0512218
"intercontinental ballistic missile"	0.0511709
frogmen	0.0509807
reservist	0.0509601
commando	0.0506428
"nuclear weapon"	0.0505719
"nuclear reactor"	0.0503886
convoy	0.0503634
peacekeeper	0.0497366
"pleasure boat"	0.0497092
airstrip	0.0494597
airfield	0.0493963
armament	0.049312
Prowler	0.0490875
"particle accelerator"	0.0490343
"power plant"	0.0490003
reinforcement	0.0488699
sailor	0.0485313
"National Guardsmen"	0.0482866
catamaran	0.0482314
shipbuilder	0.0482235
osprey	0.0478391
riverboats	0.0477492
infantryman	0.0477158
"railroad car"	0.047626
submariner	0.0473394
"Gorges Dam"	0.0471231
locomotive	0.0468902
Brigade	0.0466579
airliner	0.0462442
weaponry	0.0459137
torpedo	0.0457759
"air power"	0.0457511
"armed forces"	0.045518
infantrymen	0.0453567
infantry	0.0453494
"domed stadium"	0.0448555
"Kitty Hawk"	0.0448114
minibuses	0.0447643
MD-@@	0.0447191
"GTE Corp."	0.0446938
silo	0.0445333
platoon	0.0444466
tomcat	0.0443384
Guam	0.0441947
"space vehicle"	0.0441362
"Northern Fleet"	0.0440815
verifiers	0.0440563
spaceship	0.0440434
"nuclear warhead"	0.0439349
A@XX	0.0438761
Ambulance	0.0438251
lorry	0.0438024
materiel	0.0437651
"military attache"	0.0436037
DC-@@	0.0435427
shuttle	0.0434441
automobile	0.0433345
radar	0.043324
"William Daley"	0.0433097
contingent	0.0431085
"war game"	0.0430038
lifeboat	0.0428228
"aircraft engine"	0.0428191
"task force"	0.0427927
"National Guard"	0.0426395
"intelligence agent"	0.0426223
"auto maker"	0.0425484
oilfield	0.0425162
"department store chain"	0.0424344
"mainframe computer"	0.0424164
serviceman	0.042228
"trucking company"	0.0422005
reactor	0.0421672
glider	0.0420033
"military officer"	0.0419653
module	0.0418185
armymen	0.0417653
"army tank"	0.0417063
))
("aircraft engine" (desc 2343.23) (sims
"jet engine"	0.208447
"diesel engine"	0.155565
"specialty chemical"	0.148868
"aircraft part"	0.147327
avionics	0.133203
"communications equipment"	0.126484
turbine	0.121268
"steam turbine"	0.119939
"golf equipment"	0.115767
"home appliance"	0.114544
semiconductor	0.112538
"machine tool"	0.111528
aerospace	0.111413
"integrated circuit"	0.109372
"office furniture"	0.108781
"electronic equipment"	0.105043
auto	0.102472
"consumer product"	0.102236
"test equipment"	0.10203
Microelectronics	0.101651
"household appliance"	0.098405
"medical instrument"	0.0983554
"water heater"	0.0982772
machinery	0.0980797
automobile	0.0976116
"building product"	0.096924
"consumer electronics"	0.0907359
Cyrix	0.0903952
shipbuilding	0.0894323
"memory chip"	0.0886034
compressor	0.0881167
"gas turbine"	0.0880548
"disk drive"	0.0878973
forklift	0.0874094
diagnostics	0.086476
munition	0.0862927
"motor vehicle"	0.0855244
"weapons system"	0.0854619
"computer hardware"	0.0851838
"fiber optics"	0.0847401
"pet food"	0.084404
"scientific instrument"	0.0840889
"circuit board"	0.082984
appliance	0.0823037
electronics	0.0820068
"spare part"	0.0818237
refrigeration	0.0817034
hardware	0.081309
copier	0.0811716
apparel	0.0811443
"consumer goods"	0.0810413
hovercraft	0.0805804
"power system"	0.0804875
"household product"	0.0803789
"optical fiber"	0.0801871
"sewing machine"	0.0788388
materiel	0.0783929
"electric motor"	0.0763318
aftermarket	0.0750735
reinsurance	0.0749638
peripheral	0.0733674
"weapon system"	0.0732068
"hand tool"	0.0731636
chassis	0.0726693
"spy satellite"	0.0725679
"storage device"	0.072155
pharmaceutical	0.0717485
purifier	0.0717169
"landing gear"	0.0715082
cookware	0.0713722
transformer	0.0713478
"fire alarm"	0.0701968
"snack food"	0.0688879
"instrument panel"	0.068675
"rolling stock"	0.0686658
garment	0.0683496
"wireless telephone"	0.0683043
"building material"	0.068258
plumbing	0.0680637
"picture tube"	0.0678823
alternator	0.0678807
generics	0.0677071
petrochemical	0.0676549
"hand-held computer"	0.0675938
armament	0.0675713
conditioner	0.0673988
VISTEON	0.0667192
"computer equipment"	0.0667053
workstation	0.0665933
heater	0.0665374
sportswear	0.0664582
"breast implant"	0.0661013
"farm machine"	0.0657164
tractor	0.065254
"surface ship"	0.0652036
timepiece	0.0645915
"passenger car"	0.0644932
ceramic	0.0637839
"hearing aid"	0.0631118
"lawn mower"	0.0630671
jewellery	0.0626281
elevator	0.0625708
"fighter aircraft"	0.062554
hosiery	0.0624803
"fuel cell"	0.062349
"telephone system"	0.06226
"food product"	0.0621456
dram	0.062095
"cellular telephone"	0.0613808
"transport ship"	0.0611442
propulsion	0.060772
widget	0.060634
air-conditioning	0.0601166
"electronic warfare"	0.0600338
motherboards	0.0599955
Propulsid	0.0596348
router	0.0595278
hydraulics	0.059424
microprocessor	0.0590526
typewriter	0.0587091
robotics	0.0581351
lawnmower	0.057646
air-conditioner	0.0576254
"printing press"	0.0573948
"washing machine"	0.057376
"fortune cookie"	0.0572507
"communications satellite"	0.0572329
IC	0.0572085
Swimwear	0.0571911
microchip	0.0569223
VCD	0.0567936
newsprint	0.0566677
"data communication"	0.0565933
"mainframe computer"	0.056507
Searle	0.0561602
"color television"	0.0560509
flooring	0.0559148
automation	0.0557294
footwear	0.0556641
cosmetic	0.0555891
"data processing"	0.0555542
destroyer	0.0555226
KIMCHI	0.0554657
beverage	0.0552437
"compact car"	0.055175
Frito-Lay	0.0550888
watercraft	0.055059
"software product"	0.0549382
machine-building	0.054759
"patrol boat"	0.0544196
"investment banking"	0.0540597
weaponry	0.0536828
housewares	0.0536342
"defense system"	0.0536144
"Weight Watchers"	0.0533695
frogmen	0.0532734
"life insurance"	0.0531719
suture	0.0527729
"Wyeth-Ayerst Laboratories"	0.052464
"sparkling wine"	0.0524346
"Packard Bell"	0.0523139
"electronic device"	0.0520167
supercomputer	0.0520068
"sports equipment"	0.0519443
"solar energy"	0.0516945
knitwear	0.0516333
Duracell	0.051479
snowmobile	0.0514161
"water pump"	0.0510728
Tyre	0.050828
"life science"	0.0508225
"durable goods"	0.050804
liquor	0.0507954
aeronautics	0.0507953
excavator	0.0506996
valve	0.0505437
"security system"	0.0503865
Marconi	0.0503318
frigate	0.0502593
furnishings	0.0501017
"consumer durables"	0.050032
"synthetic fiber"	0.0498842
videogame	0.0498645
handicraft	0.0498386
stents	0.0497943
forwarding	0.0497071
"central heating"	0.0494757
"musical instrument"	0.0492824
ATX	0.0492061
sonar	0.0490025
"telecommunication system"	0.0489969
"bond trading"	0.0488741
heating	0.0487264
Braun	0.0485835
RVs	0.048468
locomotive	0.048394
"fresh food"	0.0483457
pacemaker	0.0483408
handset	0.0481478
boiler	0.0480759
))
("aircraft order" (desc 926.061) (sims
"factory order"	0.173498
"bond price"	0.156547
"truck sale"	0.133602
"home sale"	0.120889
"Dow Jones Industrial Average"	0.115174
"futures price"	0.114495
"vehicle sale"	0.11256
"fertility rate"	0.111127
Nikkei	0.107771
"Producer Price Index"	0.100091
"wholesale price index"	0.0987826
"retail price index"	0.0979133
Orders	0.0894918
"Straits Times Index"	0.0886385
"export sale"	0.088077
"trade surplus"	0.0876148
"arms deal"	0.0861358
"blue-chip stock"	0.0824492
"Telecom Corp."	0.081251
"Hamlet Cup"	0.0806517
"birth rate"	0.0798212
ridership	0.0794446
"producer price"	0.0792946
meatpackers	0.0791596
"net profit"	0.0791192
"gas price"	0.0788439
joblessness	0.078719
"NASDAQ Composite Index"	0.0782025
"rate of inflation"	0.0779065
STI	0.0776325
caseloads	0.0775769
"price index"	0.0761514
"News Corp"	0.0761332
"capital investments"	0.0758631
"body temperature"	0.075393
"mortgage rate"	0.075087
viewership	0.0750319
"Hong Kong Open"	0.0743632
"Philippine Stock Exchange Index"	0.0729638
"bank rate"	0.0728715
"Bovespa Index"	0.0725259
"Dow Jones"	0.0720313
"pretax profit"	0.0712166
"retail price"	0.0709758
"labor cost"	0.0709191
Sensex	0.0697765
"elephant population"	0.0694514
"Wireless Optus"	0.0678322
birthrate	0.0676424
"banking company"	0.0675165
"Straits Times Industrials Index"	0.0674799
"consumer price index"	0.0672983
"bond offering"	0.0672336
"equity market"	0.066967
"Weighted Price Index"	0.0663707
CAC	0.0663571
"toy maker"	0.0659612
"New Zealand dollar"	0.0654071
"water table"	0.0652697
"Stockholm Open"	0.0648988
steelmaker	0.0644283
"Hopman Cup"	0.0642258
blue-chips	0.0631179
"gas plant"	0.0630629
toymaker	0.062651
"Hang Seng"	0.0622111
CPI	0.0620541
"test score"	0.0618745
"Grand Slam Cup"	0.0618246
remittance	0.0615527
"interest income"	0.0613481
"time deposit"	0.06122
"consumer demand"	0.060129
"market average"	0.0584013
"travel plan"	0.0583214
rial	0.0583017
DAX	0.058255
"tax change"	0.0580713
Eurobond	0.0579717
"interest expense"	0.0578677
occupancy	0.0578641
"final judgment"	0.0577789
industrials	0.0577412
delinquency	0.0574646
"Lion Nathan"	0.0566488
"covert operation"	0.0563482
"Swiss Open"	0.0563291
"Nikkei Stock Average"	0.0561569
"personal income"	0.0560774
write-down	0.0559574
"life insurer"	0.0559317
"merger agreement"	0.0558984
CAC-@@	0.0556038
rand	0.0552988
"Brierley Investment"	0.0551248
"Mexican peso"	0.0551073
outlay	0.05479
"occupancy rate"	0.0547758
"Maurier Open"	0.0545278
"Tokyo Stock Price Index"	0.0545226
Unisys	0.0544311
homebuilder	0.0543362
"ATP Championship"	0.0540047
"gasoline tax"	0.0538689
BHP	0.0538332
tenge	0.0536706
"CAC @@"	0.0535088
"poverty rate"	0.0534499
carmakers	0.0532989
"earning per share"	0.0532478
"air travel"	0.0530375
"World Team Cup"	0.0530164
"futures market"	0.0526004
"tax collection"	0.0525736
chipmaker	0.0525423
caseload	0.0521749
"food company"	0.0521089
"trading activity"	0.0518459
"air pressure"	0.0517663
"Kremlin Cup"	0.0517622
metropolises	0.0516355
"building permit"	0.0514499
"high street"	0.0513198
PacCent	0.0513082
"bankruptcy filing"	0.0509647
"Lipton Championships"	0.050959
carmaker	0.0508949
"SPH @@@"	0.0508322
"three pitchers"	0.0505485
"ordinary shares"	0.050535
"steel production"	0.0505119
tranche	0.0504419
"scoring system"	0.0504068
"tax liability"	0.0503348
"ad blitz"	0.0501675
"bank deposit"	0.0500926
"German Open"	0.0500157
"ownership stake"	0.0499468
"Official Development Assistance"	0.0498525
megaplexes	0.049782
"selling price"	0.0497171
"more than five years"	0.0496982
"savings bank"	0.0496574
"farming area"	0.0496451
Telstra	0.0495618
Eurobonds	0.049505
Maurier	0.0494185
"bank failure"	0.0493664
"housing sale"	0.0492948
"oil market"	0.0491936
shredders	0.0490034
"Pulitzer Prizes"	0.048909
"house of cards"	0.0488868
"theatrical production"	0.0487817
PDA	0.048732
"benefit program"	0.048619
"home builder"	0.0481961
"printing company"	0.0480477
"blood sugar"	0.048026
capitalisation	0.048025
"Paris Open"	0.0479437
"Protestant denomination"	0.0479132
"heart rate"	0.0477979
"price pressure"	0.0476354
"funds rate"	0.0476215
"management change"	0.0475646
issuer	0.0473985
"more than eight years"	0.0472652
"bank holding company"	0.047227
USD	0.0471513
dinar	0.0471495
"Champions Cup"	0.047039
"trillion dollars"	0.0469508
chipmakers	0.0469436
"ski race"	0.0469361
outperformance	0.0469003
"shipbuilding industry"	0.0468082
livery	0.0467647
"goose bumps"	0.0467389
HSI	0.0467085
"Industrial Index"	0.0466757
"purchase order"	0.0466649
"investor confidence"	0.0463372
"Joint Strike Fighter"	0.0462855
"Xetra Dax"	0.0462453
"more than four years"	0.0461733
"retail chain"	0.0461321
tranches	0.046131
"line of products"	0.0459446
"building society"	0.0459359
"defense contractor"	0.0459328
"Fletcher Forest"	0.0458072
"insurance broker"	0.045647
hailstone	0.0456437
"job offer"	0.0456048
"capital expenditure"	0.0455748
scrip	0.0454693
FT-SE	0.0454683
"retail operation"	0.0454024
"take-home pay"	0.0453864
))
("aircraft part" (desc 1572.09) (sims
"communications equipment"	0.149317
"aircraft engine"	0.147327
"electronic equipment"	0.129711
"machine tool"	0.126447
"home appliance"	0.125246
"consumer goods"	0.116248
"integrated circuit"	0.114317
"computer equipment"	0.113721
"household appliance"	0.113152
forklifts	0.111001
semiconductor	0.110403
"spare part"	0.1054
"consumer electronics"	0.102933
"weapons system"	0.101871
Microelectronics	0.0974522
"motor vehicle"	0.0938439
electronics	0.0931872
"building material"	0.0930225
appliance	0.0894311
"medical instrument"	0.0889301
peripheral	0.0876032
"railway car"	0.0855621
"passenger car"	0.0846955
"food product"	0.0845606
"chemical analysis"	0.0838273
"circuit board"	0.0837496
"software product"	0.0835581
"scientific instrument"	0.0835232
"durable goods"	0.0825216
auto	0.0823549
minibuses	0.0821086
"test equipment"	0.0820109
"video equipment"	0.0817917
"computer hardware"	0.0810663
pharmaceutical	0.0807267
"catalytic converter"	0.0806699
"spy satellite"	0.0792827
materiel	0.0792075
air-conditioner	0.0789157
"alcoholic beverage"	0.0783013
munition	0.0776804
"memory chip"	0.0770614
gemstone	0.0750511
"space vehicle"	0.074446
"production equipment"	0.0743258
petrochemical	0.0740971
"more than @,@@@ tons"	0.074016
"fighter aircraft"	0.0739716
"brake system"	0.0735726
weaponry	0.073374
"gas turbine"	0.0732951
"picture tube"	0.0724277
"consumer durables"	0.0723788
locomotive	0.0717022
"disk drive"	0.0703791
machine-building	0.0702683
"weapon system"	0.0700061
"power system"	0.0697811
"tv set"	0.0696209
excavator	0.0690647
"building product"	0.0685448
shipbuilding	0.0681298
"more than @@ million tons"	0.0681198
"communications service"	0.0680916
footwear	0.0675243
avionics	0.0674568
"silicon chip"	0.0672599
"optical fiber"	0.0668814
gadget	0.0667486
"compact car"	0.0667379
capacitor	0.0665334
fuselage	0.0654177
"suspension system"	0.0652158
apparel	0.0648818
mini-vans	0.0647498
"electronic device"	0.0645298
"dairy product"	0.0644264
turbine	0.0643904
"office furniture"	0.0641544
"over @,@@@ tons"	0.0638237
"communications satellite"	0.0635241
"over @@@,@@@ tons"	0.063423
"washing machine"	0.0628416
"liquefied petroleum gas"	0.0627227
lysine	0.0620167
A@@@s	0.0620142
contraband	0.0618888
"liquefied natural gas"	0.0617906
metallurgy	0.0617399
"lighting fixture"	0.0610613
ingot	0.0608279
"about @,@@@ tons"	0.0607493
"about @@@ tons"	0.0604439
"veterinary medicine"	0.0604208
"microwave oven"	0.0602689
tritium	0.060159
"body part"	0.0598773
VCDs	0.0597697
switchboard	0.0596342
"electric car"	0.0592523
"gas pedal"	0.0589974
ethylene	0.0589581
"more than @@,@@@ tons"	0.0589221
SEZ	0.0587928
foodstuff	0.0586041
ware	0.0579526
"California wine"	0.0578329
"shock absorber"	0.0576299
aerospace	0.0576123
"specialty chemical"	0.0574902
"sewing machine"	0.0574467
conditioner	0.0569976
motherboards	0.0569098
"about @@ tons"	0.0567841
"more than @ million tons"	0.0567704
gearbox	0.0567616
"fresh fish"	0.0564619
"about @@,@@@ tons"	0.0562999
microchip	0.0559849
"chemical compound"	0.0559472
"about @@@,@@@ tons"	0.0559378
"one million tons"	0.0558386
bioengineering	0.0555269
"palm oil"	0.0552254
Sarin	0.0551953
"fish fillet"	0.0548166
minivans	0.0548158
"fishing gear"	0.0546967
hydropower	0.0546482
MDMA	0.0545293
timepiece	0.0545109
F-@@s	0.0544143
microcomputer	0.0544129
"compact disk"	0.0540174
"chemical industry"	0.0539467
armament	0.0539048
"jet engine"	0.0538717
"sea food"	0.0537876
"cellular telephone"	0.0537007
"storage device"	0.0531739
"six million tons"	0.053011
"pet food"	0.0528311
"four million tons"	0.052699
"compact disc"	0.0526182
"diesel engine"	0.0525797
nitroglycerin	0.0525683
"poison gas"	0.0523881
"over @@,@@@ tons"	0.0522803
"fish meal"	0.0521236
methamphetamine	0.0520159
router	0.051945
hovercraft	0.0518853
mini-buses	0.0516688
EKG	0.0515799
"security system"	0.0515712
"jet plane"	0.0515352
"iron ore"	0.0512843
sport-utility	0.0511091
Buicks	0.0510922
wares	0.0510131
"household product"	0.0509117
jewellery	0.050563
ephedrine	0.050522
"rescue equipment"	0.0502613
"parcel of land"	0.0502037
"wind power"	0.0501848
"water heater"	0.0501337
"telephone set"	0.0500351
"color television"	0.0498188
chassis	0.0497949
housewares	0.0497314
motorbike	0.049724
"space travel"	0.0496799
Rolls-Royce	0.0494711
"electric power"	0.0494004
"about @@ million tons"	0.0491587
"two million tons"	0.0491552
"diesel oil"	0.0490968
gyroscope	0.0490333
widget	0.0490142
"line of products"	0.0489225
"solar cell"	0.0488678
"control system"	0.0488652
electrocardiogram	0.0486648
detergent	0.0486168
"skilled worker"	0.0485503
handicraft	0.0485268
"soybean oil"	0.0485046
"five million tons"	0.0483671
"hand-held computer"	0.0483175
alternator	0.0483115
confectionery	0.0481813
"fire control"	0.0479438
plutonium	0.0478043
minicomputer	0.0476294
LNG	0.047427
"gamma ray"	0.047422
ICS	0.0474179
"frozen foods"	0.047359
"sports equipment"	0.0473413
))
(airdrop (desc 1178.12) (sims
planeloads	0.182936
"over @@,@@@ tons"	0.164949
airlift	0.163831
planeload	0.161726
"about @@ tons"	0.124869
"field trial"	0.107112
"four tons"	0.100063
"fund-raising campaign"	0.099966
"six tons"	0.098738
"about @@@ tons"	0.0985617
"ad blitz"	0.0969585
"proxy fight"	0.0956933
"more than @ million tons"	0.0923854
"more than @@@ tons"	0.0914373
"five tons"	0.0897932
"bombing run"	0.0871857
consignment	0.0866286
"combat mission"	0.0819741
exhumation	0.0815862
"military mission"	0.0814244
decommissioning	0.0811638
shipload	0.0781262
"road show"	0.0779138
enquiry	0.0769727
"about @@@,@@@ tons"	0.074269
counter-offensive	0.0738
putsch	0.0730615
airstrike	0.0729928
"about @@,@@@ tons"	0.0724057
C-section	0.0721152
"more than @,@@@ tons"	0.0715804
"space walk"	0.0711816
"fund-raising drive"	0.0702838
drawdown	0.0698899
circumnavigation	0.0697146
tracking	0.069434
spraying	0.0690117
truckload	0.0689675
u-turn	0.0689215
"million tons"	0.0688411
stockpiling	0.0679042
"military drill"	0.0678931
"dry run"	0.0668534
sickout	0.0666
"rehabilitation program"	0.0634239
"more than @,@@@ pounds"	0.0632303
"ground attack"	0.0627471
"hostile takeover"	0.0619984
"more than @@@ pounds"	0.0618172
"about @,@@@ tons"	0.0613819
"tender offer"	0.0612029
spacewalks	0.0610089
labeling	0.0600871
"more than @@ tons"	0.059997
wholesomeness	0.0599355
"two bags"	0.0593831
sending	0.059328
spacewalk	0.0591126
counting	0.0586846
hoarding	0.0586632
damming	0.0585755
counterbid	0.0583102
excavation	0.0581868
"pilot program"	0.0580536
pasteurization	0.0579289
downslide	0.0572804
importing	0.0572384
interdiction	0.0569981
"over @,@@@ tons"	0.0567615
tons	0.0567125
reenactment	0.0566578
"triple play"	0.0566341
"futures trading"	0.0561351
"about @@@ pounds"	0.055804
withholding	0.0557421
reconfiguration	0.055685
"space capsule"	0.0549611
cutoff	0.0549545
insurrection	0.0546461
"more than @@,@@@ tons"	0.0546331
one-seventh	0.0545853
docking	0.0544607
CPR	0.0543224
harvesting	0.0538123
"two boxes"	0.0537899
manhunt	0.0534738
"over @@@,@@@ tons"	0.0530828
"more than @@@ million US dollars"	0.0529719
"mass murder"	0.0528716
Ingestion	0.0527618
protectorate	0.0526602
"protest march"	0.0524065
manoeuvre	0.0520076
resuscitation	0.0519591
"nonstop flight"	0.0515437
Caesarean	0.051296
"end run"	0.0512171
carrying	0.0511275
allotment	0.051121
unloading	0.0511054
angioplasty	0.0509667
"subversive activity"	0.0509389
"covert operation"	0.0509132
"American plane"	0.050816
"monitoring program"	0.0508075
"fire drill"	0.0506551
"marketing program"	0.0505523
"field work"	0.0505189
adequacy	0.0503454
"surprise attack"	0.0501281
"margin call"	0.0498418
"annual payment"	0.0495596
curtailment	0.0495405
"work stoppage"	0.0493273
"two tons"	0.0492996
surfacing	0.049031
chokehold	0.0490116
"equity investment"	0.0489058
"China Federation"	0.048892
pallet	0.048845
tripling	0.0488121
reallocation	0.048757
"health check"	0.0485132
heist	0.0484134
"growing season"	0.0481913
"emergency landing"	0.0480658
processional	0.0480397
stoppage	0.0480035
"legal proceeding"	0.0478994
"medical examination"	0.0478704
tranches	0.0477178
rollout	0.0475386
pooling	0.0474578
"medical checkup"	0.0474202
"surface area"	0.0474138
downloading	0.0473851
disengagement	0.0473555
"more than one-fourth"	0.0472527
"military campaign"	0.047232
pickoff	0.0470876
prospection	0.047017
irradiation	0.0469964
"gambling casino"	0.0469744
"over @@@ tons"	0.0468989
"chamber orchestra"	0.046879
"football season"	0.0467824
outperformance	0.0467735
Intensification	0.0466457
checklist	0.046645
"water project"	0.0465927
flotation	0.0465458
uptrend	0.0465433
winnowing	0.0464743
poaching	0.0463734
"Round @"	0.0463714
"medical aid"	0.0463686
sortie	0.0462628
peace-keeping	0.0462556
"marketing campaign"	0.04587
"hue and cry"	0.0458456
linking	0.0458266
calibration	0.0456917
trainload	0.0456337
assistances	0.0455785
"break of serve"	0.045507
"poker game"	0.0453726
rations	0.0452499
inquest	0.0452448
swapping	0.0452387
macro-control	0.0452311
"Medicare HMO"	0.0451869
rationing	0.0451256
sit-in	0.0450921
"Hail Mary"	0.0449662
stayaway	0.0448879
apotheosis	0.0447919
"bankruptcy proceeding"	0.0446481
"dividend payment"	0.0445919
fillip	0.0445641
"marriage proposal"	0.0443824
overabundance	0.0443648
"electronic surveillance"	0.0441344
"takeover attempt"	0.0441088
"technological revolution"	0.044005
"Cessna @@@"	0.043931
"baseball season"	0.0438854
multi	0.0438111
stationing	0.0437897
pogrom	0.0437434
Meston	0.0436742
"head count"	0.0436552
around-the-clock	0.0435752
canvassing	0.043399
Cessna	0.0433107
headcount	0.0432797
armful	0.0432356
roadshow	0.0431824
"less than one percent"	0.0431663
patrolling	0.0430633
closedown	0.0430413
))
(airfare (desc 9720.33) (sims
fare	0.209468
"plane ticket"	0.19464
"round-trip ticket"	0.166738
Tuition	0.123157
"bus fare"	0.119559
lodging	0.11167
rental	0.109481
ticket	0.108725
"entrance fee"	0.108625
"airplane ticket"	0.105013
"air travel"	0.102703
"insurance premium"	0.10249
postage	0.102403
"round trip"	0.0978326
"nonstop flight"	0.094665
Fares	0.0917167
"operating cost"	0.0874621
rent	0.0865071
"admission fee"	0.0837252
"production cost"	0.0836627
accommodation	0.0834747
"property tax"	0.0799562
"marketing cost"	0.0794202
"management fee"	0.0774971
transportation	0.0741501
"medical bill"	0.0737906
"mortgage rate"	0.0732114
"long-distance call"	0.0728446
subscription	0.0726982
"labor cost"	0.072163
"tax rate"	0.0719284
"service charge"	0.071793
premium	0.071292
"gas price"	0.0712773
"legal fee"	0.071024
"interest expense"	0.0705862
deductibles	0.070338
"heating oil"	0.0696649
"borrowing cost"	0.0694449
"licensing fee"	0.0681228
"fertility rate"	0.0679528
occupancy	0.0677408
"retail price"	0.0674246
"theater ticket"	0.066911
"train ticket"	0.0668467
enroute	0.0668306
"operating expenses"	0.0655828
booking	0.0652196
"bank rate"	0.0646964
"admission price"	0.0636293
discount	0.0633527
mileage	0.0622375
"vacancy rate"	0.062125
sightseeing	0.0613137
wage	0.0607898
"prescription drug"	0.0603524
rebate	0.0598617
overdraft	0.0595254
allowance	0.0592959
"bus ticket"	0.0591957
surcharge	0.0584803
shipping	0.0583231
"value-added tax"	0.0579339
"electric bill"	0.0575658
parking	0.0574873
ridership	0.0572666
"interest payment"	0.0571552
"hotel room"	0.0570353
"child care"	0.0565256
"cost of living"	0.0564893
"home mortgage"	0.0564767
insurance	0.0562249
caseloads	0.056034
"occupancy rate"	0.0558126
joblessness	0.0546616
"capital gains tax"	0.0539808
absenteeism	0.053944
"telephone bill"	0.0535618
"noise level"	0.0535067
"producer price"	0.0534108
"discount rate"	0.0533717
"medical care"	0.0532248
mortgage	0.0531991
"day care"	0.0530531
severance	0.0529961
amortization	0.0527161
enrolment	0.0527104
enrollment	0.0524519
"phone bill"	0.0523808
"turnover rate"	0.0522291
"purchase price"	0.0521855
"domestic flight"	0.0520152
co-payments	0.0517729
"import duty"	0.0515509
freight	0.0513524
birthrate	0.0512844
stays	0.0510875
"birth rate"	0.0508866
"gasoline tax"	0.0507583
"telephone service"	0.0507135
outlay	0.0506621
"income tax"	0.0502557
"crime rate"	0.0501037
reimbursement	0.0500872
"selling price"	0.0500449
"defense budget"	0.0499673
"profit margin"	0.0499343
tariff	0.04985
"office space"	0.0497602
"international flight"	0.0493317
"medicare payment"	0.0491909
"rate of inflation"	0.0491745
"poverty rate"	0.0490157
"body temperature"	0.0490023
dowry	0.048627
"recreational facility"	0.0484851
"consumer credit"	0.0484576
pension	0.0482131
generics	0.0481994
"tax bill"	0.0480933
"customs duty"	0.04793
"local call"	0.0472999
pricing	0.047221
"fresh food"	0.0470474
"retirement benefit"	0.0468665
GST	0.0467606
redeye	0.0467223
copayments	0.0465212
"debt service"	0.0463831
"mortality rate"	0.0463734
"life expectancy"	0.0459755
"excise tax"	0.0459462
"oil price"	0.0459325
coupon	0.0458399
"health service"	0.0457792
"dividend yield"	0.0457006
"tax bracket"	0.0455353
"car insurance"	0.0455241
"funds rate"	0.0454839
"money supply"	0.045455
merchandise	0.0454516
hookup	0.0453319
"water table"	0.0453301
cabin	0.0452974
borrowing	0.0452752
depreciation	0.0452512
refund	0.0451334
"labor force"	0.0450842
excursion	0.0449992
itinerary	0.044989
"factory order"	0.0447616
"diesel fuel"	0.0447442
"test score"	0.0447428
"dividend payment"	0.0447257
"food stock"	0.0446827
unemployment	0.0446624
usage	0.0443143
TAXES	0.0442829
"unemployment rate"	0.0441042
"cash bonus"	0.044099
shipment	0.0440849
"personal income"	0.0440829
"relative humidity"	0.0440621
gasoline	0.04399
"average cost"	0.0436274
"club membership"	0.0436153
Voyage	0.0435822
"dollar amount"	0.0434864
"dental care"	0.0434053
"wholesale price index"	0.0433637
co-payment	0.0432468
"season ticket"	0.0431627
"standard of living"	0.0431579
inventory	0.0431056
"tax income"	0.0430775
"Social Security benefit"	0.0430464
"housing sale"	0.0429935
filers	0.0429553
"death benefit"	0.0429025
payroll	0.0427378
"down payment"	0.0427187
write-off	0.0427088
"user fee"	0.0425848
"capital expenditure"	0.0425669
"health insurance"	0.0425005
"box seat"	0.0424504
write-down	0.0423742
"take-home pay"	0.0423633
"wage increase"	0.0423381
"cost structure"	0.0422871
upkeep	0.04228
VAT	0.0422661
grocery	0.0421079
"storage space"	0.0420428
schooling	0.0417991
"consumption tax"	0.0416652
amenity	0.0415752
"retail sale"	0.0413609
"home sale"	0.041332
seating	0.0412637
))
(airfield (desc 15318.8) (sims
airstrip	0.174202
"air base"	0.150965
airbase	0.146795
airport	0.143388
depot	0.138458
"oil refinery"	0.129172
barrack	0.127239
"military installation"	0.114688
"command post"	0.110989
"air defense"	0.106964
refinery	0.104296
"power station"	0.102285
"power plant"	0.0948309
Warehouse	0.0932617
"police station"	0.0910063
runway	0.0909006
hangar	0.0902551
facility	0.0888773
"power grid"	0.088208
"Miami International Airport"	0.0875086
"landing strip"	0.0861583
factory	0.0860036
"army base"	0.0857175
dumps	0.085586
"railway station"	0.0855297
terminal	0.0827652
"control tower"	0.0806434
"railroad station"	0.0805382
waterworks	0.080234
bridge	0.0801479
"military position"	0.0799324
"oil pipeline"	0.0798875
"Capital Airport"	0.0787398
installation	0.0787268
"Ben-Gurion Airport"	0.0777702
"John F. Kennedy International Airport"	0.0775774
substation	0.07704
port	0.076374
"Kennedy International Airport"	0.0762153
"Newark International Airport"	0.0743927
"telephone exchange"	0.0739817
"Macao International Airport"	0.0739702
checkpoint	0.0737645
seaport	0.0737084
village	0.0735907
"Hong Kong International Airport"	0.0725473
"Kennedy Airport"	0.0723924
highway	0.0718098
"military vehicle"	0.0716412
"bus stop"	0.0714496
garrison	0.0712873
"gas station"	0.0708526
"Los Angeles International Airport"	0.0701869
"bus station"	0.0701842
"office building"	0.0699478
"train station"	0.0698144
transmitter	0.0696034
"relay stations"	0.0695453
complex	0.0686341
"rail line"	0.0685111
embassy	0.068434
dock	0.0678129
"military headquarters"	0.0677756
"shopping center"	0.0677288
"Dulles International Airport"	0.0675692
"pumping station"	0.067348
reservoir	0.0670065
pipeline	0.0667398
"military post"	0.0665545
radar	0.0663647
"Andrews Air Force Base"	0.0661092
"Heathrow Airport"	0.0656773
dam	0.0655855
"industrial park"	0.0655736
"U.S. Embassy"	0.0653057
railway	0.0650108
aircraft	0.0649772
"access road"	0.0648476
"Kai Tak Airport"	0.0646178
Monastery	0.0644859
"flour mill"	0.0643931
shipyard	0.0638264
gunship	0.063787
incinerator	0.0637439
palace	0.0634401
wharf	0.0633172
Aviano	0.0632896
"parking lot"	0.0629611
transformer	0.0629219
"parking area"	0.0628861
compound	0.0628462
headquarter	0.0628381
"steel mill"	0.0628062
bunker	0.0623213
airspace	0.0620451
"paper mill"	0.0619926
"telephone network"	0.0619139
landfill	0.0615207
smelter	0.0613624
"apartment building"	0.0613073
"storage area"	0.0611052
"transportation system"	0.0610398
"heavy weapon"	0.0607804
"oil well"	0.0607168
"staging area"	0.0606162
"navy base"	0.0605671
hideout	0.0605317
infrastructure	0.0601874
"railroad line"	0.0601087
outpost	0.060081
"railroad track"	0.0600144
"Kai Tak"	0.0593944
"service station"	0.0592398
mill	0.059179
"storage tank"	0.0590524
"military hospital"	0.0589685
"traffic circle"	0.0587848
cemetery	0.0586267
culvert	0.0585621
Canal	0.0585242
"railway line"	0.0585175
synagogue	0.0582396
"power line"	0.0580299
junction	0.0578125
artillery	0.0577715
heliport	0.0577343
"observation post"	0.0575643
dormitory	0.0573858
mosque	0.0571572
residence	0.0570704
"military unit"	0.0569997
"Kennedy Space Center"	0.0568584
"shopping mall"	0.0566915
headquarters	0.056392
crossing	0.0561763
farmhouse	0.056088
harbor	0.0560813
"petrol station"	0.0559528
expressway	0.0559129
"television station"	0.0557737
Fort	0.0555298
"radio transmitter"	0.0554269
roadway	0.0554073
"transmission line"	0.0553776
"public utility"	0.0553373
"office block"	0.0553313
stronghold	0.0552569
tank	0.055232
hut	0.0552038
Incirlik	0.0550521
flyover	0.0548274
"manufacturing plant"	0.0547823
campsite	0.0547051
waterway	0.0546934
Tower	0.0546382
"Hartsfield International Airport"	0.0545263
"bus terminal"	0.0545064
"water plant"	0.0544616
smelters	0.0543311
"subway station"	0.0542097
"control center"	0.0540359
garage	0.0539993
freeway	0.0539605
clinic	0.0538852
campground	0.0538066
hub	0.0536589
"field hospital"	0.0536177
weaponry	0.0535887
viaduct	0.0535446
enclave	0.0534742
ranch	0.0533607
"communications network"	0.0532861
tarmac	0.0531982
civilian	0.0526189
railroad	0.0524764
convoy	0.052388
"firing range"	0.0522443
Hartsfield	0.0522278
Heathrow	0.0521811
overpass	0.0521299
farmland	0.0520661
"amusement park"	0.0519521
"port of entry"	0.0517412
dwelling	0.0516354
pier	0.0516313
encampment	0.0515031
"surface-to-air missile"	0.0514103
"production facility"	0.0514001
shack	0.0513528
resort	0.0512279
"communication system"	0.0511771
"diplomatic mission"	0.0511727
prison	0.0510974
orphanage	0.0510373
"fire station"	0.0509011
silo	0.0507833
storehouse	0.0506525
"production line"	0.0505774
"textile mill"	0.0505152
embankment	0.0505061
))
(airflow (desc 1766.63) (sims
"air current"	0.0835581
"air mass"	0.0716117
moisture	0.0656771
perspiration	0.0637208
secretion	0.061057
marksmanship	0.0610341
"water vapor"	0.0599054
"tax income"	0.0594879
dampness	0.0592762
"noise level"	0.0585044
crosswind	0.056742
pumping	0.0560888
"spring water"	0.0558727
slurry	0.0556555
"foot traffic"	0.0549608
honeycomb	0.0545254
precipitation	0.0544035
flamethrower	0.0542649
uptake	0.0531422
evaporation	0.0530543
glucose	0.0526823
drainage	0.0520085
maneuverability	0.0518018
Sulphur	0.0517665
sunlight	0.0517371
"loud noise"	0.0515267
"brain wave"	0.0512432
"heart rate"	0.0508706
"electric current"	0.0506586
presure	0.0503145
vibration	0.0500969
recidivism	0.0500099
"trade wind"	0.0499876
updraft	0.0498524
rollovers	0.0497065
"electrical power"	0.0496767
Biffle	0.0496109
shockwaves	0.0489771
"jet stream"	0.0477896
"employment growth"	0.0477576
"drug traffic"	0.0475909
filtering	0.0474994
carrying	0.0471109
homocysteine	0.0470412
"air pressure"	0.0465974
"ocean current"	0.0463389
bomblets	0.0461463
"deficit spending"	0.0461138
seepage	0.0459444
"spider web"	0.0456097
wrister	0.0456009
punctuality	0.0454529
"financial gain"	0.0451761
pinwheel	0.0447633
mitochondria	0.0447077
RealPlayer	0.0445716
"night time"	0.0444011
personalization	0.0442029
men	0.0442027
processional	0.044201
mucus	0.0441873
outflow	0.0437748
intermarriage	0.0436975
respiration	0.0436346
Harlequin	0.0431135
deductibility	0.0426068
"shareholder value"	0.0425895
picketers	0.0423873
commuting	0.0422742
velocity	0.0421112
usability	0.0420385
Inoculation	0.0420346
C-section	0.0419076
plowing	0.0418249
"capital expenditure"	0.0417919
"water heater"	0.0415433
"sense of smell"	0.0415256
"debt load"	0.0411312
accretion	0.0411025
Zing	0.0410504
absorption	0.0409823
"sound wave"	0.0409251
browsing	0.0407373
"sea breeze"	0.0404296
horsepower	0.0403629
viewership	0.0402003
folate	0.0400869
lockbox	0.0400288
))
(airforce (desc 3327.37) (sims
"Indian Air Force"	0.169035
"Air Force"	0.153627
"U.S. Air Force"	0.148741
"Marine Corps"	0.129789
RAF	0.129493
"Royal Air Force"	0.128372
"Revolutionary Guards"	0.126978
IAF	0.124515
"blue angel"	0.107212
"Coast guard"	0.102176
"Korean Air"	0.102074
IRGC	0.101658
"National Guard"	0.0974669
"Air National Guard"	0.0970573
navy	0.0948221
AN-@@	0.0919588
BSF	0.0887254
TU-@@@	0.0886519
F-@	0.0881592
gendarmerie	0.0865735
MiG-@@	0.0850777
Mig	0.0838978
SU-@@	0.0836915
"Airbus @@@"	0.0831666
"military police"	0.0823405
A@@@-@@@	0.0818037
warplane	0.0806076
widebody	0.0804673
A-@@	0.0793269
"naval forces"	0.0789589
Il-@@	0.0786653
"U.S. Coast Guard"	0.0784869
"China Airlines"	0.0777772
A-@@@	0.0777452
"security force"	0.0776545
"fire fighter"	0.0775578
"Airbus A@@@"	0.0774064
C-@@@	0.0772461
"South African National Defense Force"	0.0772068
"Air Lanka"	0.076582
UNIFIL	0.0765279
"U.S. Navy"	0.0761103
paratroops	0.0751328
Harrier	0.0747311
DC-@@	0.0745234
"Air Force Reserve"	0.0745114
"Ethiopian Airlines"	0.0743933
"National Police"	0.0741104
IDF	0.0738816
"South Vietnamese"	0.0733187
"electronic warfare"	0.0732561
infantry	0.0729682
"merchant ship"	0.0728999
"Home Ministry"	0.072719
"Islamic Revolutionary Guards Corps"	0.0724366
"civil defense"	0.072366
"Turkish Airlines"	0.0715052
"Kenya Airways"	0.0714908
Aoshen	0.071387
"Special Forces"	0.0710635
Cessna	0.0710195
P-@	0.0709427
turboprop	0.0708897
warthog	0.0707478
"Indian Airlines"	0.0706923
gunship	0.070469
Prowler	0.0698124
UPDF	0.0696481
C-@@	0.0689745
"Russian Navy"	0.0689307
gunboat	0.0687827
USAir	0.0687049
"Guangdong Hongyuan"	0.0686383
MiG-@@s	0.0683767
"Islamic Revolution Guards Corps"	0.067958
thunderbolt	0.0675941
B-@	0.0672208
"Cessna @@@"	0.0670473
"Northern Fleet"	0.0664194
"patrol boat"	0.0658667
"fire brigade"	0.0652754
A-@	0.0651057
Pegasus	0.0644065
AWACS	0.0643916
"Stage @"	0.0643267
LRA	0.0640551
"secret service"	0.0636495
"general staff"	0.0635395
"Air India"	0.0634666
"air force officer"	0.0623535
"Gulf Air"	0.0621461
stealth	0.0620721
ECOMOG	0.0619932
two-seater	0.0619591
Alcantara	0.0616205
MD	0.0611918
"U.S. Army"	0.0609748
warplanes	0.0608777
Comair	0.0608706
"air defense"	0.060852
"American plane"	0.0607941
"military force"	0.0606961
double-decker	0.0603211
"Virgin Atlantic"	0.0600942
"artillery unit"	0.0599673
paratrooper	0.0597903
"Royal Navy"	0.0597715
UNFICYP	0.0594597
U.S.-British	0.0593757
armymen	0.0593189
fighter-bombers	0.0590606
TNI	0.0589593
"Infantry Division"	0.0586971
Airlines	0.0586453
artillery	0.0585206
Turkish	0.0582458
B-@@	0.0582395
"Justice Ministry"	0.0581264
"border patrol"	0.0579911
"South African Airways"	0.0575636
"Vietnam Airlines"	0.0575017
commando	0.0571642
"Susanthika Jayasinghe"	0.0570769
"battle group"	0.0565237
"Department of Public Safety"	0.056423
"ground attack"	0.0563055
osprey	0.0562844
DC-@	0.0561686
"military unit"	0.05606
"Thai Airways"	0.0559934
"Air France Concorde"	0.0558442
"Alaska Airlines"	0.0558264
PLA	0.0556426
soliders	0.0556263
Emery	0.055413
"regular army"	0.0553128
RUF	0.0551866
"deputy foreign minister"	0.0550719
MKO	0.0549841
"intelligence operation"	0.0546806
T-@@	0.0545597
"fighter aircraft"	0.0543641
F-@@@	0.0543563
EgyptAir	0.0540622
INTERFET	0.0538625
airman	0.0538062
"Cara Black"	0.0536589
"Ministry of Health"	0.0535996
"Russian Interior Ministry"	0.0532368
Bayi	0.0531436
F-@@	0.0529647
PAOK	0.0528418
coastguard	0.0527277
SAS	0.0526859
infantrymen	0.0523045
"Yugoslav Army"	0.0522873
airspace	0.0520732
"South Lebanon Army"	0.0520525
"South Lebanese Army"	0.0517822
SLA	0.0517479
"Department of Defense"	0.0517444
SANDF	0.051566
PNP	0.051563
CIRC	0.0515502
Amal	0.051302
Shenyang	0.0508468
"Pan Am"	0.0506179
C-@	0.0503378
"military attache"	0.0500223
Starzz	0.0499404
Brigade	0.0498546
"intelligence agent"	0.0497092
"Interior Ministry"	0.0496866
aviator	0.0496587
reconnaissance	0.0496388
"U. N."	0.0495347
"Younes El Aynaoui"	0.0493727
Airbus	0.0492466
KPA	0.0491857
A@@@	0.0490286
battalion	0.0489096
Zhejiang	0.0488668
kamikaze	0.0487842
Gendarme	0.0486866
RRA	0.0486783
"military academy"	0.0483684
"Foreign Ministry"	0.0483065
UNAMSIL	0.0482812
F@@	0.0481875
"El Al"	0.0480242
"Renzo Furlan"	0.0479694
airmen	0.0478851
"Armed Police"	0.0478678
goverment	0.0478344
Hercules	0.0477136
IFOR	0.0474541
"Israel Defense Forces"	0.0474162
ABRI	0.0473402
"British government"	0.0472752
RCMP	0.0471576
))
(airing (desc 5626.1) (sims
snippet	0.0773083
ream	0.0693765
taping	0.0692028
falsity	0.0692011
outpouring	0.0678899
disclosure	0.0659198
reiteration	0.0643321
litany	0.063409
iota	0.0623691
summary	0.0617415
transcript	0.0610982
crux	0.0601403
"tape recording"	0.0601012
welter	0.0596578
veracity	0.0590654
corroboration	0.0582932
repudiation	0.0579689
accretion	0.0573984
reexamination	0.0569244
synopsis	0.0567893
unveiling	0.0561083
recitation	0.0556785
flurry	0.0545783
refutation	0.0540547
excerpt	0.0537093
rehash	0.0535776
Telecast	0.0522567
acknowledgment	0.0515994
slew	0.0512633
paucity	0.0512608
spate	0.0509191
screening	0.0500977
perusal	0.0500292
acknowledgement	0.0499041
exoneration	0.0496402
dissection	0.0490948
truthfulness	0.0488105
dissemination	0.0485346
firestorm	0.0481681
viewing	0.0480063
carrying	0.047518
gist	0.0474101
filming	0.0470651
montage	0.0470158
co-producer	0.0467162
"sneak preview"	0.0466124
confluence	0.0465157
specificity	0.0463441
mailing	0.046309
making	0.0460823
wide-range	0.0460732
taking	0.0459184
revelation	0.0456969
myriad	0.0449238
"medical exam"	0.0447257
rerun	0.0446201
blurring	0.043846
"first five minutes"	0.0437976
epilogue	0.0432936
rebuttal	0.0431551
plethora	0.0429508
repetition	0.0429258
deluge	0.0428246
barrage	0.0423982
peep	0.0421973
Intensification	0.042046
rash	0.041925
swapping	0.0417878
seconds	0.041694
preponderance	0.0414095
copying	0.0409996
Ledeall	0.0407572
downloading	0.0406797
self-examination	0.0406595
enquiry	0.0404958
elaboration	0.0404616
advent	0.0403189
Compendium	0.0402112
importing	0.0401741
))
(airlift (desc 8419.1) (sims
airdrop	0.163831
evacuation	0.111789
planeloads	0.0979939
"ground attack"	0.0910293
planeload	0.0902875
repatriation	0.0862458
"fund-raising campaign"	0.0809867
manoeuvre	0.0803606
convoy	0.0800719
deployment	0.0797166
"rehabilitation program"	0.0790296
interdiction	0.0766907
"air attack"	0.0755894
"military campaign"	0.0740115
reconnaissance	0.0738222
manhunt	0.0731545
divestiture	0.073046
cleanup	0.0729142
"war game"	0.0721717
shipment	0.0716216
fumigation	0.0714767
recapitalization	0.0702476
relocation	0.0697042
"fund-raising drive"	0.0695103
"bank withdrawal"	0.0690841
drawdown	0.068908
exodus	0.0686323
dragnet	0.0679791
"pilot program"	0.0675969
delivery	0.0674926
"military drill"	0.066843
spraying	0.0666983
facelift	0.0657218
retrenchment	0.0654862
"food aid"	0.0649273
airstrike	0.0639571
excavation	0.0636767
"water project"	0.0635757
"advertising campaign"	0.063481
redevelopment	0.0631928
"military mission"	0.0629814
deportation	0.06293
"about @@ tons"	0.0628463
"ad blitz"	0.0626017
Caesarean	0.0619296
"five tons"	0.0617661
"field trial"	0.0616776
extraction	0.0614228
"work stoppage"	0.0612423
"marketing campaign"	0.0605749
"mass murder"	0.0602713
roadshow	0.0594523
pullback	0.0587296
purge	0.0583575
"military action"	0.0583185
mobilization	0.0575498
resettlement	0.0573154
sit-in	0.057244
sending	0.0571706
"Marshall Plan"	0.0568864
renovation	0.056752
"arms deal"	0.0566827
reorganization	0.0565762
A@@@-@@@	0.0563575
"ad campaign"	0.0560758
"bus service"	0.0558415
"training program"	0.0557224
"monitoring program"	0.0556642
overflights	0.0555202
"medical aid"	0.0552814
"road show"	0.0551483
pullout	0.0551307
distribution	0.055112
exhumation	0.054536
counterattack	0.0543883
pullbacks	0.0543867
rollout	0.0542586
"intelligence operation"	0.054155
"education program"	0.0529954
surveillance	0.0529719
A@XX	0.0529001
afforestation	0.0528704
"bond offering"	0.0525819
"electronic warfare"	0.0525115
invasion	0.0522446
demobilization	0.0521585
procurement	0.052144
blockade	0.0521333
"bond issue"	0.0519444
sickout	0.0519366
redesign	0.0519102
restoration	0.0519065
"protest march"	0.0518339
onslaught	0.0518273
refining	0.0517894
dredging	0.0517628
armada	0.0517448
migration	0.0516664
bailout	0.0514237
ration	0.0513232
"air raid"	0.0512848
Roundup	0.0512595
bombardment	0.0510221
rectification	0.0509956
"domestic flight"	0.0509755
buyback	0.0505246
"covert operation"	0.0505229
airstrikes	0.0504147
airforce	0.0503947
reinforcement	0.0503811
walkout	0.0503699
counter-offensive	0.050239
"military training"	0.050178
polling	0.0499329
consignment	0.0499173
"damage control"	0.0497362
counterintelligence	0.0497213
expedition	0.0497109
reshuffle	0.0495657
reconstruction	0.0495014
putsch	0.049417
outflow	0.0490457
disengagement	0.0489292
Privatization	0.0487998
patrolling	0.0486912
heliport	0.0486402
monitoring	0.0486141
Emigration	0.0483332
cutback	0.0483165
interagency	0.048307
"fire drill"	0.0482762
uprising	0.048212
Voyage	0.0479315
heist	0.0477709
influx	0.0477507
"hostile takeover"	0.0477425
unloading	0.0476655
"first aid"	0.0475372
drilling	0.0474931
"Kosovo Verification Mission"	0.047313
"Peace Corps"	0.0472474
"international flight"	0.0470278
"proxy fight"	0.0470277
importation	0.0470094
assistances	0.0469865
flotation	0.0469587
stayaway	0.0469003
"job cut"	0.0467448
"U.S. Air Force"	0.0465251
"endowment fund"	0.0462952
hoarding	0.046285
rebuilding	0.0461654
census	0.0461514
shutdown	0.0461322
bomber	0.0460789
splurge	0.0460448
uptrend	0.0460128
"Long March"	0.0459685
"educational program"	0.0458194
C-section	0.0457732
"marketing program"	0.0457202
C-@@@	0.0453785
crackdown	0.0453775
privatizations	0.0453743
spacewalk	0.0452835
protectorate	0.0452751
logistics	0.0451932
downslide	0.0451071
redeployment	0.0448778
"stock buyback"	0.0448353
"more than @@@ tons"	0.0447963
procession	0.0447902
pipeline	0.0447597
"Bull Run"	0.0447191
"civil disobedience"	0.0444778
shake-up	0.0444118
"supply route"	0.0443995
"marketing effort"	0.044174
"bull market"	0.0441619
"three pitchers"	0.0440517
"Korean Air"	0.0439965
"Operation Lifeline Sudan"	0.043884
stockpile	0.0438833
"debt payment"	0.0438687
"export credit"	0.0438609
"social activity"	0.0437263
looting	0.043635
counterterrorism	0.0436052
"distribution network"	0.0435269
"Operation Desert Storm"	0.0435065
flyover	0.043469
"tax hike"	0.0434235
recruitment	0.0434115
"land reform"	0.0433103
"basketball season"	0.0432409
layoff	0.0432377
demolition	0.0432263
disbursement	0.0431353
"bankruptcy proceeding"	0.0431277
"blue angel"	0.0430234
))
(airline (desc 121123) (sims
carrier	0.299933
company	0.191289
bank	0.172231
"American Airlines"	0.169727
corporation	0.159099
firm	0.158377
Boeing	0.157572
delta	0.149698
manufacturer	0.14947
agency	0.147359
"Air France"	0.147177
"America West"	0.143777
"US Airways"	0.142036
insurer	0.141114
"Northwest Airlines"	0.13989
TWA	0.139028
provider	0.137962
"financial institution"	0.137127
employer	0.136488
"United Airlines"	0.136077
retailer	0.135561
"British Airways"	0.135118
"phone company"	0.133385
"insurance company"	0.133004
operator	0.132342
automakers	0.129907
"commercial bank"	0.127952
industry	0.127261
Swissair	0.12401
enterprise	0.123915
government	0.122726
"telephone company"	0.121652
utility	0.121125
continental	0.120625
aircraft	0.119659
business	0.119146
supplier	0.118842
"federal government"	0.118121
HMO	0.117628
railroad	0.115994
"Delta Air Lines"	0.114686
EgyptAir	0.113937
"Philippine Airlines"	0.113631
"travel agency"	0.113231
"Alaska Airlines"	0.112926
union	0.112648
maker	0.112397
institution	0.112161
brokerage	0.111947
airliner	0.111779
Airlines	0.110785
"shipping company"	0.110622
"Continental Airlines"	0.110607
plane	0.10997
AIRTRAN	0.109895
organization	0.108797
"Air Canada"	0.108755
exporter	0.108591
network	0.108188
"Air Force"	0.107842
flight	0.107673
automaker	0.107555
investor	0.106801
"brokerage firm"	0.106752
pilot	0.106532
competitor	0.106402
Lufthansa	0.105977
"power company"	0.105136
"central bank"	0.104982
"Southwest Airlines"	0.104179
lender	0.103451
Microsoft	0.103038
conglomerate	0.102884
sector	0.102574
farmer	0.102414
university	0.10236
American	0.102144
customer	0.101833
"school district"	0.101825
consumer	0.101724
GM	0.10149
contractor	0.101181
authority	0.100498
subsidiary	0.0997379
"mining company"	0.0993359
passenger	0.0989367
hospital	0.0989099
"auto maker"	0.098504
producer	0.097943
businessmen	0.0979114
developer	0.0975235
airport	0.0973479
department	0.0972857
country	0.0971547
"Bell Atlantic"	0.0968475
"Cathay Pacific"	0.096687
service	0.0966721
airplane	0.0965451
state	0.0965348
nation	0.09653
FAA	0.0962403
employee	0.0958773
regulator	0.0956496
dealer	0.0956018
Airbus	0.0955423
group	0.0950312
Amtrak	0.094867
giant	0.0946067
"El Al"	0.0943522
broker	0.0942706
"local government"	0.0941818
military	0.0939177
fleet	0.0937785
PAL	0.0936885
jet	0.0935392
"travel agent"	0.0933837
buyer	0.0931135
"Boeing Co."	0.0920406
owner	0.091907
"political party"	0.0918754
BellSouth	0.0917834
northwest	0.091741
ministry	0.0916258
"stock exchange"	0.0909112
factory	0.0908522
distributor	0.0907084
importer	0.0905746
official	0.0903561
railway	0.090298
individual	0.0895543
doctor	0.0895501
chain	0.0895385
KLM	0.0892684
Intel	0.0887666
administration	0.0883434
school	0.0879844
advertiser	0.0879743
"trucking company"	0.0878075
market	0.0877951
city	0.0877902
Ford	0.0876033
hotel	0.0875929
worker	0.0875527
"postal service"	0.0874676
"Air China"	0.0868941
navy	0.0867097
people	0.0861008
entity	0.0854257
"finance company"	0.0851249
"Federal Aviation Administration"	0.0849564
station	0.0846749
Alitalia	0.0844951
traveler	0.0844035
"state enterprise"	0.0843884
"cable operator"	0.0843704
partner	0.0843318
unit	0.0840766
club	0.0839728
party	0.0839005
Verizon	0.0832206
citizen	0.0832122
shipper	0.0829742
grower	0.0824946
client	0.0823576
police	0.0823337
aviation	0.0822409
merchant	0.0821764
IBM	0.0820501
AOL	0.081953
operation	0.0818505
route	0.0818119
economy	0.0817842
"bus company"	0.0815769
Raytheon	0.0814335
vendor	0.0813163
"business community"	0.081253
"America Online"	0.0811011
embassy	0.0809506
broadcaster	0.0807572
team	0.0806886
association	0.0806155
publisher	0.0805289
"health maintenance organization"	0.0804007
Compaq	0.0803461
ISPs	0.0803329
"Singapore Airlines"	0.0801141
member	0.0800899
MCI	0.0800097
entrepreneur	0.0799067
"police department"	0.0797754
store	0.0797108
user	0.0796164
"Time Warner"	0.0795504
newspaper	0.0794897
Coca-Cola	0.0793895
trader	0.0793032
creditor	0.0792009
consortium	0.0791532
plant	0.0789914
fund	0.078895
))
(airliner (desc 27662.1) (sims
jetliner	0.352792
plane	0.223873
aircraft	0.212993
airplane	0.209608
jet	0.197954
"Pan Am Flight @@@"	0.186708
MD-@@	0.162388
"Flight @@@"	0.141263
DC-@@	0.13256
"TWA Flight @@@"	0.132011
Learjet	0.129672
"Air France Concorde"	0.129595
Concorde	0.126851
Boeing	0.124665
flight	0.124017
"Airbus A@@@"	0.122544
"Swissair Flight @@@"	0.122186
"jet plane"	0.121965
helicopter	0.121232
DC-@	0.120357
A@@@-@@@	0.114942
"Flight @@@@"	0.114762
"Airbus @@@"	0.113744
airline	0.111779
freighter	0.111291
bus	0.10857
"EgyptAir Flight @@@"	0.1058
F-@@	0.103507
Airbus	0.100441
ship	0.0986599
bomber	0.0978803
MiG-@@	0.0971342
warplane	0.0968563
osprey	0.096804
"oil tanker"	0.0953002
vessel	0.0952142
"Pan Am"	0.0952072
"American plane"	0.0933389
A-@@@	0.0932973
A@@@	0.0929406
tanker	0.0928025
ferry	0.0922712
"cruise ship"	0.090272
"passenger train"	0.0901809
shuttle	0.0898151
F-@@s	0.0896389
C-@@@	0.0894707
B-@@	0.0882699
train	0.0875173
"container ship"	0.0874307
"cargo ship"	0.0865806
chopper	0.0862279
"Indian Airlines"	0.0848784
truck	0.0834262
boat	0.0833046
Cessna	0.0830989
warplanes	0.0829959
submarine	0.0827827
"domestic flight"	0.0822363
TU-@@@	0.0816587
gunship	0.0798548
"Cessna @@@"	0.0795254
vehicle	0.0783211
MD-@@s	0.0780453
"fishing boat"	0.0777647
EgyptAir	0.0776047
Concordes	0.0766809
MiG-@@s	0.0764345
pilot	0.076242
warship	0.0760761
"international flight"	0.0757577
MiGs	0.0755428
fighter	0.0738982
biplane	0.0737531
spacecraft	0.0737
Il-@@	0.0733576
fleet	0.0733176
yacht	0.0728729
missile	0.0721421
USAir	0.0712817
"nuclear-powered submarine"	0.0708704
carrier	0.070489
C-@@	0.0695627
car	0.0694585
rocket	0.0689106
passenger	0.0681406
glider	0.0679475
automobile	0.0676886
trawler	0.0676283
Prowler	0.0674971
destroyer	0.0658142
Mini-bus	0.065325
van	0.0649305
turboprop	0.0647717
lorry	0.0646371
F-@@@	0.064601
TWA	0.0636345
"tractor trailer"	0.0634793
"fighter aircraft"	0.0633897
"express train"	0.0633638
tank	0.0632264
craft	0.0629256
jeep	0.0626125
"passenger ship"	0.0625769
"cargo vessel"	0.0623109
Motorcycle	0.0621658
"motor vehicle"	0.0615355
Satellite	0.061087
embassy	0.0604742
"commuter train"	0.060109
minibus	0.0596056
spaceship	0.0593961
"school bus"	0.0591775
Apache	0.0586136
"Air Force"	0.0579403
"nuclear reactor"	0.0572751
AN-@@	0.0570978
"city bus"	0.0569975
frigate	0.0568353
Sedan	0.056543
airspace	0.0564171
chinook	0.0562928
"patrol boat"	0.0561679
"space station"	0.0553644
barge	0.0552697
taxi	0.0550921
reactor	0.0542676
speedboat	0.0541626
midair	0.0540248
Airlines	0.0538537
"merchant ship"	0.0538117
"small boat"	0.0537499
"pickup truck"	0.0536673
limousine	0.0534892
airship	0.0532123
auto	0.0530444
cargo	0.0529261
fighter-bombers	0.052922
rig	0.0528996
Cruiser	0.0528095
Hijacker	0.0523745
national	0.0522824
Swissair	0.0519081
Kursk	0.05161
"passenger car"	0.0514766
gunboat	0.051156
"power plant"	0.0509816
convoy	0.050912
A@XX	0.0508169
balloon	0.0507904
"freight train"	0.0505498
"booster rocket"	0.0502824
"oil pipeline"	0.050184
"Alaska Airlines"	0.0500705
tractor	0.0495535
"power station"	0.0494977
airmen	0.0492814
wagon	0.0492768
Apaches	0.0490757
"spy satellite"	0.0490384
"diplomatic mission"	0.0489654
aviation	0.0488706
traveler	0.0485803
marine	0.0484989
crew	0.0480523
"communications satellite"	0.0480364
engine	0.0479426
locomotive	0.0478243
ValuJet	0.0478242
mini-buses	0.0477926
"personal computer"	0.0477904
"oil refinery"	0.0477678
"World Trade Center"	0.047242
elevator	0.0471474
interceptor	0.0470891
"Ford Explorer"	0.0470541
"crew member"	0.0469862
sailboat	0.046731
Ambulance	0.046614
B-@	0.046529
businessmen	0.0464188
aviator	0.0462832
blimp	0.046248
"aircraft carrier"	0.0462442
"military vehicle"	0.0462088
"fire truck"	0.0461635
terminal	0.045742
"cable car"	0.0454838
Atlantis	0.0454531
depot	0.0453982
"patrol car"	0.0452847
trolley	0.0452273
shipment	0.0451131
luggage	0.0450058
sailor	0.044998
tugboat	0.0449107
"atomic bomb"	0.0448667
"jet engine"	0.0448457
refinery	0.044683
F-@	0.0446825
))
(Airlines (desc 6432.45) (sims
Airways	0.19033
"Indian Airlines"	0.146396
"Thai Airways"	0.130077
USAir	0.125373
"Kenya Airways"	0.121278
"Continental Airlines"	0.11997
A-@@@	0.118012
"Northwest Airlines"	0.115795
"Airbus A@@@"	0.113727
"China Airlines"	0.111924
airline	0.110785
"United Airlines"	0.110137
KLM	0.109781
Garuda	0.109676
"Ethiopian Airlines"	0.106597
"Alaska Airlines"	0.106533
"Gulf Air"	0.10608
Swissair	0.105685
widebody	0.104756
"Trans World Airlines"	0.103946
"Eastern Airlines"	0.103667
"McDonnell Douglas"	0.101758
"Vietnam Airlines"	0.101434
EgyptAir	0.100827
"Korean Air"	0.100517
"Delta Air Lines"	0.0988652
"South African Airways"	0.0987809
"America West"	0.098148
A@@@-@@@	0.0978542
ValuJet	0.097561
"Air France"	0.0948387
"Air France Concorde"	0.0943762
Airbus	0.0943743
"Virgin Atlantic"	0.0942585
"British Airways"	0.093586
Fedex	0.0934108
"Turkish Airlines"	0.0931262
Govt	0.0926724
"Philippine Airlines"	0.0921913
Iberia	0.0918297
"Southwest Airlines"	0.0916928
"Japan Airlines"	0.0914009
"Air India"	0.0910168
"American Airlines"	0.0907285
"Cathay Pacific"	0.0904803
TWA	0.0879732
DC-@@	0.0867003
Alitalia	0.0847604
"Airbus @@@"	0.084342
Banks	0.0842263
"Pan Am"	0.0840035
"El Al"	0.0812397
Aeroflot	0.0812063
Cathay	0.0804848
"Foreign Exchange Rates"	0.0803074
Sabena	0.0793955
AIRTRAN	0.0775227
Railtrack	0.0773227
"Air Canada"	0.0749418
Boeing	0.0741002
automakers	0.0739501
Lufthansa	0.0738663
TU-@@@	0.0733043
"Federal Express"	0.0732052
Aeromexico	0.0724849
"Air China"	0.0722346
delta	0.0711952
MD-@@	0.0708862
carrier	0.0707772
Emery	0.0702393
Comair	0.0699876
"Pac Bell"	0.0689138
"America West Airlines"	0.0686345
refiner	0.0678632
C-@@	0.0678205
Lockheed	0.067727
issuers	0.067658
"Malaysia Airlines"	0.0672087
Mig	0.0669572
"Cathay Pacific Airways"	0.0668194
Il-@@	0.0665175
"P&AMP;G"	0.0664949
"US Airways"	0.0664848
Qantas	0.0661353
"cable operator"	0.0658308
DC-@	0.0656746
ferryboat	0.0655259
SAS	0.0655236
JAT	0.065206
FAA	0.0649494
Unicom	0.0644423
F-@	0.0641146
"Air Force"	0.0640756
JetBlue	0.0635906
A@@@	0.0634913
MD	0.0631904
carmakers	0.0631145
"army engineer"	0.0630948
"China Southern Airlines"	0.0630081
C-@@@	0.0627368
A@XX	0.0627315
turboprop	0.0627191
WPP	0.0627173
steelmaker	0.0627161
double-decker	0.0625334
bottlers	0.0624206
osprey	0.0621333
GEC	0.0620747
Aetna	0.0619854
McDonnell	0.0618544
exporter	0.0616746
insurer	0.0614294
MiG-@@	0.0613269
Concorde	0.0606003
Gorter	0.060496
NiSource	0.0601758
"opera company"	0.0599234
"blue angel"	0.0597137
SMIs	0.059685
"auto maker"	0.0591489
employer	0.0587583
operator	0.0587426
corporates	0.0587343
airforce	0.0586453
"Medicare HMOs"	0.0585121
AN-@@	0.0584489
CCB	0.0581736
AWACS	0.0581195
"commercial bank"	0.0581169
"financial institution"	0.0581001
"Indian Air Force"	0.0579321
"U.S. Air Force"	0.0577198
P-@	0.0576038
"Canadian Airlines"	0.0574654
"Advanced Micro"	0.0573217
RAF	0.0572441
MindSpring	0.0571018
Healtheon/WebMD	0.0570412
NASA	0.0569377
Telkom	0.0568681
sandpiper	0.0565415
Cessna	0.0565347
Ba	0.0563424
homeowner	0.0561725
Workers	0.056096
"car manufacturer"	0.0559175
"Con Ed"	0.0558622
"Singapore Airlines"	0.0557557
"defense contractor"	0.0557255
"finance company"	0.055408
assembler	0.0553308
grower	0.0551961
ATC	0.0551473
retailer	0.0550014
NTL	0.054921
Kazhegeldin	0.0545797
"Delta Airlines"	0.054542
"Thai Airways International"	0.0544709
Schwab	0.0542957
"insurance company"	0.0542786
C-@@@J	0.0542236
TAZARA	0.0539319
airliner	0.0538537
"phone company"	0.0538099
"Agriculture Department"	0.0537384
GTE	0.0537073
PEOPLESOFT	0.0536619
"judicial branch"	0.0536618
"computer giant"	0.0535135
BOC	0.0534307
Fuji	0.0533218
SU-@@	0.0532795
Amtrak	0.0532793
"futures exchange"	0.0532574
"local government"	0.0532019
Harrier	0.0530496
COLTEC	0.0529468
"school district"	0.0529395
"Coast guard"	0.0528253
AMR	0.0528069
Fishermen	0.0527866
BellSouth	0.0526946
"drug maker"	0.0525277
"food company"	0.0524988
grocer	0.0524658
navy	0.052408
SunTrust	0.0523282
"trucking company"	0.0523199
lender	0.0522667
spammers	0.052193
"health care provider"	0.0521765
"property owner"	0.0521339
"U S West"	0.0521027
railroad	0.0518869
Amoco	0.0517985
"Congressional Republicans"	0.0517774
"Sdn Bhd"	0.051761
"Cessna @@@"	0.051657
"transit authority"	0.0516099
"Boston Scientific"	0.0515727
))
(airman (desc 3423.33) (sims
airmen	0.170397
serviceman	0.133458
aviator	0.124298
submariner	0.114906
"air force officer"	0.103481
crewman	0.101826
"enlisted man"	0.0941715
"police sergeant"	0.0912053
"intelligence analyst"	0.0882869
servicemen	0.0881723
kayaker	0.0865605
crewmen	0.0860803
"staff sergeant"	0.0857293
sailor	0.0849707
"naval officer"	0.0815051
parachutist	0.0761026
seamen	0.0758145
gunboat	0.0743512
MIAs	0.0729941
warplane	0.0693603
navigator	0.0690365
"black person"	0.069002
"army officer"	0.0681201
infantrymen	0.0677837
medic	0.0661697
Seaman	0.0659309
paratrooper	0.0653519
infantryman	0.0648261
"intelligence officer"	0.0637756
"murder suspect"	0.0635379
"rock climber"	0.0628193
"altar boy"	0.062627
nobleman	0.0623244
Sergeant	0.061192
"test pilot"	0.0610526
"loved one"	0.0606648
"mountain climber"	0.0599594
"crew member"	0.0597706
yachtsman	0.0593593
cadet	0.0590726
"battle group"	0.0587689
"school girl"	0.0581438
commando	0.0580748
Gi	0.0576368
deserter	0.0575008
soliders	0.0566267
paratroops	0.0566033
cellmate	0.0565138
"Yankee Clipper"	0.0563641
comrade	0.0559091
"blue whale"	0.0558486
enlistee	0.0557363
policewoman	0.0552633
snowboarder	0.0551222
Raduyev	0.0548295
Englishman	0.0547859
"Madalyn Murray O'Hair"	0.0547514
vaulter	0.0546672
"patrol ship"	0.0545893
"foreign service officer"	0.0545247
"man's body"	0.0544575
squire	0.0542713
"military attache"	0.0542537
"belly dancer"	0.0542418
policeman	0.054186
airforce	0.0538062
"cabinet member"	0.0533876
"merchant ship"	0.0533454
F-@@@	0.0530611
gunner	0.0529184
Priebke	0.0529089
"electrical engineer"	0.0526202
"gray whale"	0.0522792
crewmembers	0.052225
"lieutenant general"	0.051736
conscript	0.0516334
crossers	0.0515799
Damm	0.0514662
"young person"	0.0514661
Nivel	0.0513781
Schalken	0.0513687
ensign	0.0510622
Merlino	0.0510528
Grahame	0.051035
"military band"	0.0510182
fighter-bombers	0.0508778
"Hurricane Hugo"	0.0507011
"military officer"	0.0506933
pup	0.0506561
climber	0.0506427
temptress	0.0506166
stepdaughter	0.050549
backpacker	0.0504542
solder	0.0504373
Noriega	0.0503196
"army engineer"	0.0501187
"police captain"	0.0500573
"eye doctor"	0.0500196
Cavallo	0.0499557
Irishman	0.0499515
"truck driver"	0.0498907
Lieutenant	0.049796
clergyman	0.0497498
copywriter	0.0495539
"George Wallace"	0.0495196
"game warden"	0.0494802
"eagle scout"	0.0493484
skiff	0.0492047
"Shao Yunhuan"	0.0491537
gunman	0.0491325
"bus driver"	0.0491155
skydiver	0.0490735
Princess	0.0490445
eighth-grader	0.0490294
tamer	0.0490181
Lecter	0.0489503
Biko	0.0488724
Kuwaiti	0.0486148
Resendez-Ramirez	0.0486086
"naval forces"	0.0484631
"African elephant"	0.0483812
shoplifter	0.0483669
deceased	0.0483423
miler	0.0482946
reservist	0.0481757
Coolio	0.0481635
Englishwoman	0.0481244
seminarian	0.0479875
"sexual desire"	0.0479294
"account executive"	0.0478721
"Ryan Kealy"	0.0477549
"surface ship"	0.0475493
Tarango	0.0475228
"secret agent"	0.0474871
attacker	0.0473709
divorcee	0.047368
POW	0.0473218
hiker	0.0471984
marksman	0.0471074
Honduran	0.0470671
fireman	0.0469224
"garment worker"	0.0468761
warship	0.0466292
"woman's body"	0.0466108
firefighter	0.0464433
B-@@	0.0463523
atheist	0.0463207
sixth-grader	0.0463053
schoolgirl	0.0462828
"television star"	0.0462332
percussionist	0.0461768
ex-Marine	0.0461621
roofer	0.045909
fortuneteller	0.0457916
"law student"	0.0457523
Mathews	0.0456726
Al-Amin	0.0456169
Imperatori	0.0452646
"Jehovah's Witness"	0.045209
"Thomas Youk"	0.0449674
"military personnel"	0.0448594
schoolteacher	0.0448553
"military man"	0.0447523
stuntman	0.0447025
"John F. Kennedy Jr."	0.0446316
Schett	0.0445594
"prison guard"	0.0444122
"spy satellite"	0.0443293
Swann	0.0442258
"Long-Term Capital Management"	0.0441729
Gogel	0.0441323
sentry	0.0441221
"Charlotte Motor Speedway"	0.0439005
"art historian"	0.043893
"civil engineer"	0.043764
"power cable"	0.0437528
naturalist	0.0436785
"coal miner"	0.0435868
Hijacker	0.0433964
F-@@	0.0433323
Taufik	0.0433232
"lieutenant colonel"	0.0430318
"Harry Wu"	0.0429558
sniper	0.0428762
lawman	0.0428739
Spaniard	0.0428272
militiaman	0.042814
defector	0.0427296
saleswoman	0.042681
Maradona	0.0426751
"black woman"	0.0424511
motorcyclist	0.0424436
Biggs	0.0423104
Barrasso	0.0422456
Weston	0.0422386
"Mark Tuinei"	0.0422041
"shipwreck survivor"	0.042155
"music teacher"	0.0421317
Kurd	0.0421241
Ince	0.0420642
))
(airmen (desc 5984.32) (sims
servicemen	0.193988
airman	0.170397
crewmembers	0.160251
crewmen	0.156332
sailor	0.152247
submariner	0.146542
seamen	0.145512
aviator	0.143029
skydiver	0.13724
"military personnel"	0.134116
"crew member"	0.133604
serviceman	0.132986
"air force officer"	0.129867
reservist	0.123548
marine	0.120465
commando	0.120275
paratrooper	0.119726
crewman	0.116228
F-@@s	0.115684
pilot	0.113702
warship	0.109704
soldier	0.109625
infantrymen	0.109417
policemen	0.108443
miner	0.10688
firefighters	0.106851
soliders	0.104781
stowaway	0.103917
"military man"	0.100653
armymen	0.100119
"prisoner of war"	0.0985658
comrade	0.0968263
"army officer"	0.0958774
B-@s	0.0954157
"naval officer"	0.0946255
"school girl"	0.0909091
fighter-bombers	0.0905648
Gi	0.0903423
"intelligence agent"	0.0902361
"military officer"	0.0902257
deceased	0.0899194
great-grandchildren	0.0892782
crewmates	0.0891221
bomber	0.088267
firemen	0.0877894
cadet	0.0872327
astronaut	0.086178
militiamen	0.0860151
deserter	0.0857147
parachutist	0.0849119
"coal miner"	0.0846911
Davidians	0.0843869
warplanes	0.0840446
militiaman	0.0840084
co-pilot	0.0830576
hemophiliac	0.0830343
gunship	0.0828465
MiGs	0.0824933
"mountain climber"	0.0822191
guardsmen	0.0821086
Sergeant	0.0819943
fire-fighter	0.0818977
MiG-@@s	0.0812604
diver	0.0812588
climber	0.081012
"fire fighter"	0.0808997
mountaineer	0.0807618
Iranian	0.0798539
"Czar Nicholas II"	0.0793557
Apaches	0.0792653
"Ron Brown"	0.0789433
diplomat	0.078364
"military vehicle"	0.0782813
civilian	0.0780791
solder	0.0779919
"supply ship"	0.0777772
"scuba diver"	0.0773065
Kamajors	0.0769586
"mountain gorilla"	0.0767008
"Branch Davidians"	0.0766819
detainee	0.0765774
"loved one"	0.0765221
villager	0.0755015
Lebanese	0.0753927
B-@@	0.0750343
"National Guardsmen"	0.0747361
"North Koreans"	0.0742746
rescuer	0.0742211
"enlisted man"	0.0741651
warplane	0.0741241
"Air Force"	0.0737716
Irishmen	0.0733547
conscript	0.0730916
mercenary	0.0730036
"personnel carrier"	0.0722897
Frenchmen	0.072218
"attack aircraft"	0.0716507
hostage	0.0714982
"police officer"	0.0712883
backpackers	0.0710137
"gold miner"	0.0709877
starts.	0.0707561
"major-league team"	0.0707182
"All-Star Games"	0.0706534
upperclassmen	0.0706222
policeman	0.070482
helicopter	0.0702356
Fishermen	0.0697662
occupant	0.0695978
"American plane"	0.0695504
POW	0.0695306
Filipino	0.0694642
schoolgirl	0.0690314
Hijacker	0.0686538
captive	0.0685449
Eritrean	0.068059
"Pro Bowls"	0.0680253
medic	0.0674744
Tanzanian	0.0674725
boater	0.0673609
years.	0.0671174
adoptees	0.0671131
Briton	0.0671113
prisoner	0.0669777
firefighter	0.0669751
"foster child"	0.0669163
"farm worker"	0.0668629
"John F. Kennedy Jr."	0.0666875
Pakistani	0.0665362
submarine	0.0661093
constable	0.0660395
flier	0.0659527
"John Kennedy Jr."	0.0657964
combatant	0.0655606
"political prisoner"	0.065386
peacekeeper	0.0653421
Klansmen	0.0652478
VMs	0.065029
no-decisions	0.0649597
"Kosovo Serbs"	0.0649517
"prison guard"	0.0648757
quarterfinalists	0.0648692
MIAs	0.0647345
rower	0.0646675
adventurer	0.0645823
F-@@	0.0645065
lawmen	0.0643461
Cuban	0.0643009
inmate	0.0642409
gunner	0.064229
"fire engine"	0.0641034
"military police"	0.0640816
trooper	0.0639548
"flight attendant"	0.0638161
Arad	0.0635635
assailant	0.0635298
Ukrainians	0.0634093
"Shao Yunhuan"	0.0633463
"military unit"	0.0633185
Cuban-Americans	0.0632729
dissident	0.063239
"aircraft carrier"	0.0628408
mutineer	0.062349
A@@@s	0.0623316
"intelligence officer"	0.0620406
nun	0.0619413
attacker	0.061736
"truck driver"	0.061706
skier	0.061528
sightseer	0.0613081
sherpas	0.0613047
hiker	0.0612509
QBs	0.061221
Vietnamese	0.06115
trainee	0.0611092
"law officer"	0.061011
"university student"	0.0606915
Copt	0.0606573
"federal agent"	0.0606372
vacationer	0.0605572
Concordes	0.0605217
newborns	0.0604391
"foreign service officer"	0.0604372
bystander	0.0603747
gunmen	0.0602135
"Ryder Cups"	0.0601779
westerner	0.0601161
"Iraqi POWs"	0.0600338
paratroops	0.0599863
militant	0.0599219
"South Koreans"	0.0598717
wounded	0.0597402
"government officials"	0.0597171
frogmen	0.0596001
"Madalyn Murray O'Hair"	0.0595199
takeaways	0.0593043
runnings	0.0592588
"church member"	0.0591903
Honduran	0.0591408
balloonist	0.0590226
))
(Airness (desc 831.593) (sims
Laudrup	0.070139
"Exxon Valdez"	0.0694722
Ozersky	0.0670925
sextet	0.0661702
Sakyamuni	0.0627617
Wiatt	0.0618709
Mitterrand	0.0609796
"Kim Il Sung"	0.0604183
Marianne	0.060243
"True North"	0.0597497
"Sam Houston"	0.0594946
"New Carissa"	0.0584571
octuplets	0.0546126
Scotty	0.0531822
"Christopher Columbus"	0.0526831
Neely	0.0518332
McWilliams	0.0513428
Zambrano	0.0511303
Robby	0.050957
Primeau	0.0496724
Cepeda	0.0495044
"Roberto Clemente"	0.0493561
"Ian Wright"	0.0491174
"Douglas MacArthur"	0.0489653
"four @-pointers"	0.0485042
Raoux	0.0483825
Liam	0.0482591
Scottie	0.0482411
"Simon Bolivar"	0.0481992
Cowens	0.0480912
Avila	0.0478218
"Holy Spirit"	0.047487
eighth-graders	0.047481
ICS	0.0472962
Stroganoff	0.0471857
"class warfare"	0.0470104
NIC	0.0469555
Stith	0.0467338
shipmate	0.0466024
"Straight Talk Express"	0.0464786
whaler	0.0462543
"Senior PGA Tour"	0.04621
"Colorado Party"	0.0459797
Darlene	0.0458876
Schoeneweis	0.045864
"Francis of Assisi"	0.0448476
"Joe Dumars"	0.0448277
SDS	0.0447863
"grim reaper"	0.0446257
"Medicare HMO"	0.0444504
Nesby	0.0444016
blinder	0.0442096
Legos	0.0441103
Fizer	0.0440174
Macaque	0.0437852
linemates	0.0437626
"Geoff Sanderson"	0.0436775
stork	0.0436243
Puente	0.0435782
CHE	0.0435189
"employment contract"	0.0434358
Meares	0.0430928
Penney	0.0429357
"King Abdullah II"	0.0429001
Mellencamp	0.0426327
"Horned Frogs"	0.0423744
electability	0.0422346
"Medicare HMOs"	0.0422041
"Adam Oates"	0.0420821
Mensa	0.0419777
Petkovsek	0.0417911
Puzo	0.0417535
Kathleen	0.0417361
Concordes	0.0416097
"media property"	0.0415502
Hewlett	0.0415478
"AOL Time Warner"	0.0412159
Livia	0.0411023
"La Mont"	0.0410841
bonhomie	0.0410688
Luyendyk	0.0407613
Samsonov	0.0406354
"Tore Andre Flo"	0.0405465
Felton	0.0405234
parachutist	0.0405008
"Ho Chi Minh"	0.0404298
"Van Exel"	0.0403201
quarterfinalists	0.040142
Histadrut	0.0400038
))
(airplane (desc 74931.7) (sims
aircraft	0.303568
plane	0.298278
jetliner	0.221136
airliner	0.209608
jet	0.205595
helicopter	0.198975
bus	0.152068
ship	0.151661
boat	0.15006
truck	0.149226
vehicle	0.142816
car	0.142753
train	0.140233
vessel	0.134537
MD-@@	0.134386
flight	0.119699
automobile	0.119371
submarine	0.11799
tanker	0.116105
Motorcycle	0.116087
Concorde	0.115062
F-@@	0.11489
Learjet	0.113832
shuttle	0.112937
bomber	0.112293
warplanes	0.111987
Boeing	0.111567
missile	0.10679
spacecraft	0.104202
"motor vehicle"	0.104173
ferry	0.103233
craft	0.103231
Satellite	0.102308
tank	0.102197
equipment	0.101233
van	0.101194
warplane	0.100346
"Flight @@@"	0.100106
tractor	0.0981836
"jet plane"	0.0979609
jeep	0.0978425
fighter	0.0975955
rocket	0.0970024
airline	0.0965451
F-@@s	0.0961803
yacht	0.0960994
taxi	0.096014
auto	0.0956309
freighter	0.0954047
barge	0.0942758
"school bus"	0.0940709
warship	0.0932445
pilot	0.0931831
limousine	0.0929159
engine	0.0927908
osprey	0.0927068
"fighter aircraft"	0.092469
chopper	0.0916002
bicycle	0.0904684
Cessna	0.0889062
Computer	0.0886096
passenger	0.0881643
gunship	0.0871613
C-@@@	0.0867597
machine	0.0862374
elevator	0.0861231
Ambulance	0.0859842
"oil tanker"	0.0859779
balloon	0.0856492
machinery	0.0855698
"patrol boat"	0.0851706
"Airbus A@@@"	0.085068
DC-@	0.0839949
fleet	0.0832388
A@@@-@@@	0.0832195
MD-@@s	0.0829902
bike	0.0820106
"fishing boat"	0.0817436
"cruise ship"	0.0815187
"pickup truck"	0.0814695
"passenger car"	0.0803464
wagon	0.0802311
"cargo ship"	0.0801277
lorry	0.0799977
DC-@@	0.0796484
Cruiser	0.079511
frigate	0.0790393
cab	0.078611
carrier	0.0784292
"jet engine"	0.0775416
spaceship	0.0774331
A@@@	0.0773501
destroyer	0.0772304
appliance	0.0770369
Sedan	0.0769566
tire	0.0768131
minivan	0.0764137
locomotive	0.075944
trailer	0.0758066
"domestic flight"	0.0755326
"fire truck"	0.0754809
glider	0.0751153
B-@@	0.0749869
Airbus	0.0747416
"personal computer"	0.0744316
"personnel carrier"	0.0743983
goods	0.0742832
fighter-bombers	0.074091
sailboat	0.0739643
radar	0.073855
"communications equipment"	0.0738409
PC	0.0736474
"TWA Flight @@@"	0.0733854
"international flight"	0.0733004
crew	0.0732295
building	0.0730785
cockpit	0.0721634
"space station"	0.0721283
device	0.0717995
"military vehicle"	0.0717617
pickup	0.0716881
"EgyptAir Flight @@@"	0.0715834
rig	0.0715452
blimp	0.071488
gun	0.0712787
motorbike	0.0710295
weapon	0.0708492
"passenger train"	0.0706879
trolley	0.070614
"container ship"	0.0701159
phone	0.070086
semiconductor	0.0700293
"police car"	0.0699715
model	0.0699462
system	0.0697941
"electronic equipment"	0.0697671
"fire engine"	0.0694714
bomb	0.0694599
"machine tool"	0.0691082
camera	0.0687745
subway	0.0686399
furniture	0.0684521
hardware	0.06826
reactor	0.0679793
cargo	0.0676983
"race car"	0.0675409
Crane	0.0674938
speedboat	0.0672166
product	0.0668406
"household appliance"	0.0668172
Apache	0.0663093
electronics	0.0662455
telescope	0.0661883
transport	0.066081
generator	0.0656997
"communications satellite"	0.0656701
Robot	0.0656638
Apaches	0.0654892
airport	0.0653154
route	0.0651492
refrigerator	0.0650111
minibus	0.0642278
rail	0.0641469
"patrol car"	0.0641045
troop	0.0640919
toy	0.0640441
SUVs	0.0637788
station	0.0636509
"sports car"	0.0636008
Limo	0.0635236
snowmobile	0.0633809
"small boat"	0.0631761
chip	0.0630524
aviation	0.0629693
runway	0.0629124
container	0.062897
house	0.0628012
"consumer goods"	0.0627384
terminal	0.0624955
laptop	0.0624823
"Air Force"	0.0623807
"commuter train"	0.0621901
SUV	0.0620742
facility	0.061966
road	0.0618568
service	0.0618412
"home appliance"	0.061794
"power plant"	0.0614999
"spare part"	0.0614975
firearm	0.0614261
box	0.061144
"freight train"	0.0611402
bridge	0.0611321
convoy	0.0611131
bird	0.0610956
"spy satellite"	0.0609768
property	0.0609197
unit	0.0608505
plant	0.060772
"tractor trailer"	0.0606747
))
("airplane ticket" (desc 1083.99) (sims
"plane ticket"	0.17012
"train ticket"	0.168919
"theater ticket"	0.137739
airfare	0.105013
"savings bond"	0.0949167
postage	0.0906121
"disability insurance"	0.0871419
"bus ticket"	0.0849889
annuity	0.0848657
"identity card"	0.0818884
"application form"	0.0810619
"certificate of deposit"	0.0800208
reinsurance	0.0790236
"fishing license"	0.0767526
"entrance fee"	0.0761429
"driver's license"	0.0756093
"bulletproof vest"	0.0748567
"marriage license"	0.0748132
T-bonds	0.0743634
"order form"	0.0738175
"round-trip ticket"	0.073718
"insurance policy"	0.0725925
"car insurance"	0.0717485
mini-buses	0.0699641
"office block"	0.0658285
emulator	0.0653865
easements	0.0647981
"birthday card"	0.0647212
ambassadorship	0.0637982
"water filter"	0.0637129
"life jacket"	0.0625637
"air travel"	0.0624994
alternator	0.0620335
"golf equipment"	0.0620178
wristband	0.0619745
"life insurance"	0.0617046
trinket	0.0615369
"pet food"	0.0613488
"bus fare"	0.0612622
"power tool"	0.0610747
minibuses	0.0607864
"birthday gift"	0.060686
licence	0.0605194
"municipal bond"	0.0604603
"engagement ring"	0.0598481
"official document"	0.0596834
"birth certificate"	0.0595101
B-@s	0.0591819
"money order"	0.059122
Rolex	0.0586801
"closed-end fund"	0.0586774
"tax form"	0.058303
"wedding ring"	0.057612
collectibles	0.057148
"promissory note"	0.0570054
"season ticket"	0.0567367
"postage stamp"	0.0565902
"Beanie Babies"	0.0565549
"bank card"	0.0562695
coursework	0.0562501
Orangina	0.0558944
shredders	0.0557665
mini-vans	0.055193
"kitchen appliance"	0.0547128
"warning signal"	0.0546097
"expression of regret"	0.0543954
"greeting card"	0.0543531
"test equipment"	0.0541554
"shuttle bus"	0.0537885
"Christmas present"	0.0536273
"ugly duckling"	0.0534415
Netcom	0.0532772
"love seat"	0.053038
"Thomson Multimedia"	0.0529496
"office furniture"	0.0529051
"distress signal"	0.0528168
"purchase order"	0.0526281
easement	0.0525109
"patent right"	0.0524751
"Rolls-Royce Motor Cars"	0.052326
"washing machine"	0.0523191
"all clear"	0.0522956
"commercial paper"	0.052239
"admission fee"	0.0521783
"membership card"	0.052095
"computer equipment"	0.0520252
knickknack	0.051993
"parking ticket"	0.0519456
alias	0.0517326
knighthood	0.0515521
"preferred stock"	0.0515369
tractor-trailers	0.0512592
"debt security"	0.0509011
refreshment	0.0506991
freebies	0.0502012
"water heater"	0.0501513
Anelka	0.0500401
"Atlantic Richfield Co."	0.0500016
Eurobonds	0.0499956
"Brooks Brothers"	0.0499896
"traveler's check"	0.0498978
"Bankers Trust Corp."	0.0497195
"personal letter"	0.0496329
motorbike	0.0494904
cricketer	0.0492969
"instruction manual"	0.0492956
bib	0.0490857
VCDs	0.0490469
widget	0.0489287
"sheet music"	0.0489067
"American plane"	0.0485353
outbuilding	0.0483046
"promotional material"	0.048293
BUSINESSES	0.0481885
"home appliance"	0.0481719
"place setting"	0.0481191
"scientific instrument"	0.0480931
"confidential information"	0.0479859
integrator	0.0479474
"fur coat"	0.0478218
"acoustic guitar"	0.0477972
"second tour"	0.0477667
"stock car"	0.0477397
aromatics	0.0476233
Picassos	0.0475468
"nose ring"	0.0474544
"Lincoln Town Car"	0.0473534
HDTV	0.0473305
"seat cushion"	0.0471952
counterbid	0.0471934
"Christmas gift"	0.0471051
decoder	0.0471027
Furbys	0.0470799
MiGs	0.046916
"sewing machine"	0.0468289
"ownership stake"	0.046787
Tupperware	0.0467742
"Mobil Corp."	0.0467366
"convertible bond"	0.0465896
"marriage proposal"	0.0465527
"mink coat"	0.0464182
"income tax return"	0.0463966
scrip	0.0463828
toothbrush	0.0463802
"work permit"	0.0463597
"cash bonus"	0.0463366
"preferred shares"	0.0461751
"Toyota Corolla"	0.0461542
stapler	0.0461364
pantyhose	0.0460598
"dental care"	0.0460326
"tennis racket"	0.045899
stationery	0.0457432
"consumer electronics"	0.0457145
"sports equipment"	0.0455167
"color television"	0.0454159
around-the-clock	0.045398
"birthday present"	0.0453898
abacus	0.0452795
"electric fan"	0.045155
fillip	0.0450848
"loaf of bread"	0.0450481
"motor scooter"	0.0449043
A@@@-@@@	0.0448365
IOU	0.0448258
takeout	0.0448018
"vital organ"	0.0447601
bookshop	0.0447058
shredder	0.0446774
Broadcast.com	0.044662
"detective story"	0.0446579
"honorable mention"	0.0446327
airtime	0.0445473
encyclical	0.0445185
RV	0.0444361
Telebras	0.0444183
"about @,@@@ acres"	0.0443726
"Cliffs Notes"	0.0443646
S-@@@	0.0443533
adjudication	0.0442934
"evening bag"	0.0442369
stratagem	0.0440758
"annual payment"	0.0440024
"ad blitz"	0.0439393
"military uniform"	0.0438001
"communications equipment"	0.0437293
sport-utility	0.0436406
Tamale	0.0436022
technicals	0.0435891
"Sinai Peninsula"	0.0434205
"precious metal"	0.0433725
aphrodisiac	0.0433024
"army tank"	0.0432588
Inoculation	0.0430965
"car door"	0.0430266
"alcoholic beverage"	0.043011
hardback	0.0430013
"About @ billion"	0.0429464
"hand tool"	0.0429219
airdrop	0.0428723
))
(airplay (desc 2580.8) (sims
airtime	0.107372
"foot traffic"	0.106176
downtime	0.0998728
"positive feedback"	0.0973031
kudos	0.0878807
oomph	0.0843734
play-by-play	0.0843342
spunk	0.0833547
"elbow room"	0.0831849
"top billing"	0.0800793
"free time"	0.0777623
flak	0.0775824
headway	0.0698701
"storage space"	0.0692031
"breathing room"	0.0675027
Leeway	0.0673048
hand-holding	0.0671178
gumption	0.0669927
horsepower	0.0664845
ribbing	0.0659485
notoriety	0.0659388
traction	0.0652687
static	0.0643806
"distress signal"	0.0639617
feedback	0.0637074
"wear and tear"	0.0636899
legroom	0.0633182
accolade	0.0620576
gab	0.06203
"disc jockey"	0.0617042
playlist	0.0612031
"R&AMP;B"	0.0610883
headroom	0.0606918
comeuppance	0.0604864
"leisure time"	0.0603887
precipitation	0.0597947
bandwidth	0.0597638
"speeding ticket"	0.0597584
padding	0.0593794
"spare time"	0.059095
"time off"	0.0583887
"creature comforts"	0.0575471
"natural ability"	0.0572258
remixes	0.0570054
snowpack	0.0567347
"tax treatment"	0.0565936
credence	0.0563334
"Daily Racing Form"	0.0561079
mileage	0.0537597
yardage	0.0534556
curveballs	0.0530101
vibes	0.0526056
pizazz	0.051637
"breathing space"	0.0513201
prodding	0.0509662
"Social Security benefit"	0.050829
ventilation	0.050581
"broadcasting company"	0.0497233
"Don Imus"	0.049654
"time slot"	0.0494492
"goose bumps"	0.0492594
exertion	0.049244
redundancy	0.0492375
schooling	0.0490624
"relay stations"	0.0487656
horseplay	0.048637
"disk jockey"	0.0485055
dyslexia	0.0484743
goosebumps	0.0484231
firepower	0.048376
"margin call"	0.0480803
leptin	0.0477675
babysitting	0.0477525
socialization	0.0477323
clout	0.0476978
RCN	0.0476739
"loose end"	0.0474745
fanfare	0.0474536
moisture	0.0474154
feeler	0.0472894
rep	0.0472643
velocity	0.0471677
newscast	0.0469969
tutoring	0.046931
"staying power"	0.0466655
adulation	0.0466273
"Todd Walker"	0.0465952
"detective work"	0.0464875
eats	0.0464665
B@@	0.0464313
esteem	0.0463235
"logistic support"	0.0462042
nourishment	0.0461211
signage	0.0460202
doubter	0.0459329
pep	0.0458962
"freshwater fish"	0.0458166
"cassette recorder"	0.0458123
"inside information"	0.0457413
"good story"	0.0456126
"job offer"	0.0455894
"pop music"	0.0455603
jingle	0.0454652
EKG	0.0454613
opprobrium	0.0453659
merriment	0.0452422
flack	0.0452057
airs	0.0451897
handshaking	0.0451857
"extra points"	0.0451789
Grammys	0.0451783
juggling	0.0451052
"burden of proof"	0.0450675
concertgoers	0.0450354
"good weather"	0.0446361
"legal representation"	0.0442747
transfusion	0.0442548
hand-wringing	0.044069
gratification	0.0440313
Calcium	0.0438436
keystrokes	0.0438129
housework	0.0437687
"death benefit"	0.0437211
"balanced diet"	0.0436702
licking	0.0435536
ballgames	0.0434091
technicals	0.0434004
stimuli	0.0433427
"safety feature"	0.0432701
self-control	0.0431118
richer	0.0430178
"direct evidence"	0.042858
"Craig Paquette"	0.0428092
slack	0.0427478
backsliding	0.042667
double-teams	0.0425929
heft	0.0425585
consolation	0.0425272
makeovers	0.0425152
renown	0.0424727
"nursing care"	0.0424141
corroboration	0.0423113
homework	0.0422042
hedging	0.0421723
commendation	0.0421582
guesswork	0.0421572
aggravation	0.0421556
firsts	0.0420583
self-discipline	0.0420392
info	0.0417153
pruning	0.0416678
"vitamin D"	0.0416125
spam	0.0415653
soul-searching	0.0414931
"parking ticket"	0.0412907
simulcast	0.0412293
"Iranian POWs"	0.041188
"investor interest"	0.0408995
easier	0.0408683
"hanky panky"	0.0406787
hoopla	0.0406635
FDI	0.0406499
"trial and error"	0.0406421
"dividend payment"	0.0404832
hammering	0.040408
celebs	0.040356
razzle-dazzle	0.0403339
presure	0.0402934
risk-taking	0.0402758
torque	0.040115
"second reading"	0.0400681
))
(airport (desc 208673) (sims
port	0.179893
hotel	0.173582
hospital	0.157806
city	0.146665
terminal	0.14435
airfield	0.143388
"air base"	0.141101
station	0.136475
area	0.136281
facility	0.131132
embassy	0.129934
center	0.128272
highway	0.12807
park	0.126769
stadium	0.126203
town	0.1255
headquarter	0.125287
base	0.123882
"railway station"	0.121942
factory	0.12134
office	0.119839
village	0.11977
building	0.116783
capital	0.116765
home	0.11593
plant	0.115545
railway	0.115071
"police station"	0.112978
suburb	0.112752
harbor	0.111516
street	0.109711
"train station"	0.109684
prison	0.109612
school	0.108941
road	0.107935
border	0.1074
bridge	0.107194
"power station"	0.107126
"power plant"	0.107112
site	0.107074
checkpoint	0.106911
restaurant	0.105029
palace	0.102978
complex	0.102101
mall	0.102049
seaport	0.101748
resort	0.101414
museum	0.100783
clinic	0.0998375
district	0.0996736
neighborhood	0.0995256
refinery	0.0992446
camp	0.09895
airstrip	0.0984752
residence	0.0982275
store	0.0978267
airline	0.0973479
runway	0.0972281
campus	0.0968747
house	0.0963621
hub	0.095641
subway	0.0955067
depot	0.095375
courthouse	0.0943943
"post office"	0.0942592
expressway	0.0931625
region	0.0926381
"shopping center"	0.0925738
"stock exchange"	0.0922426
"city hall"	0.0916795
zone	0.091329
Warehouse	0.0913269
"shopping mall"	0.0909395
airbase	0.0902796
barrack	0.0894276
"port of entry"	0.0882079
"polling station"	0.0880987
bank	0.0877488
police	0.0876891
church	0.0876821
library	0.0872095
apartment	0.0866557
project	0.0866451
location	0.0863484
province	0.0860253
"U.S. Embassy"	0.0860185
shop	0.0860101
"bus station"	0.085509
"oil refinery"	0.0853404
island	0.0848661
gate	0.0843994
market	0.0842646
cemetery	0.0842269
plane	0.0836744
destination	0.0836056
downtown	0.0835853
"city center"	0.0827911
square	0.0826494
"parking lot"	0.0822548
jail	0.0822237
airspace	0.0819668
beach	0.0817465
crossing	0.0815764
branch	0.0813305
LONDON	0.0812721
pipeline	0.0812142
venue	0.0811873
Casino	0.0809679
Kabul	0.0808755
mosque	0.0804364
university	0.0803588
"gas station"	0.0802087
bus	0.0801987
compound	0.0794704
tunnel	0.0793324
route	0.0789662
"industrial park"	0.0788814
dock	0.0787918
zoo	0.078525
infrastructure	0.0784433
consulate	0.0783117
flight	0.0783023
supermarket	0.0781178
traffic	0.0780988
arena	0.0779389
hall	0.0774007
shelter	0.0773062
BEIJING	0.0769926
system	0.0764788
theater	0.0764717
intersection	0.0763208
Pristina	0.0760378
dam	0.0758911
resident	0.0755114
"business district"	0.0753208
aircraft	0.0751625
meeting	0.075007
Ballpark	0.0750013
railroad	0.0747981
Paris	0.0745465
Capitol	0.0743159
train	0.0741489
"office building"	0.0741372
"police headquarters"	0.0740578
"rail line"	0.0737361
farm	0.0737188
municipality	0.073707
network	0.0733137
service	0.073203
mine	0.0727357
court	0.0726815
"department store"	0.0724334
"Los Angeles"	0.0723692
agency	0.0721242
"Hong Kong"	0.0720467
laboratory	0.0717963
BELGRADE	0.0716167
entrance	0.0713811
Tower	0.0712633
company	0.0711965
"New York"	0.0708904
field	0.0707704
north	0.0707613
coast	0.0707326
lab	0.0705822
wharf	0.0705149
county	0.0705084
"hotel room"	0.0704047
land	0.0702875
"power grid"	0.0702069
Mayor	0.0700397
"theme park"	0.0700094
"golf course"	0.0693697
installation	0.0690626
country	0.0689359
enterprise	0.0689308
place	0.0688175
CAIRO	0.068768
summit	0.0687419
fair	0.0685724
"chamber of commerce"	0.0684726
"movie theater"	0.0684586
"radio station"	0.0683483
Shanghai	0.0683169
club	0.0683001
Boston	0.0682541
sector	0.068162
"White House"	0.0681419
synagogue	0.0680245
"subway station"	0.0679231
studio	0.0679141
track	0.067856
Newark	0.0675899
sea	0.0674566
car	0.0674526
Amman	0.0673925
ship	0.0673685
Canal	0.0671829
operation	0.0671536
Rome	0.0670798
))
("Airport Authority" (desc 2177.4) (sims
"Hong Kong Monetary Authority"	0.169474
HKMA	0.161785
"National Bureau of Statistics"	0.148403
"Hong Kong Tourist Association"	0.144129
"Texas Department of Public Safety"	0.142124
"National Republican Congressional Committee"	0.138866
"Department of Health"	0.137514
"Department of Public Safety"	0.136019
"Israeli Foreign Ministry"	0.132023
"U.S. Immigration and Naturalization Service"	0.128997
"Sydney Organizing Committee"	0.127977
"Securities Industry Association"	0.127339
"Labor Ministry"	0.126783
"Education Department"	0.126108
"China National Tourism Administration"	0.126096
"Health Department"	0.125624
CNTA	0.121861
CIRC	0.12173
"Civil Aviation Authority"	0.121557
DLC	0.120693
"British Foreign Office"	0.120443
"Justice Ministry"	0.117843
"Department of Public Health"	0.117749
"Housing Authority"	0.117512
"French Foreign Ministry"	0.116528
HKTA	0.115787
"Port Authority"	0.115258
SFC	0.11332
"Department of Education"	0.113282
"International Amateur Athletic Federation"	0.113127
"National Election Committee"	0.113043
"Thai Foreign Ministry"	0.11236
"Department of Environmental Protection"	0.111836
"Immigration Department"	0.111123
"Agriculture Ministry"	0.110694
"Hongkong Telecom"	0.109697
"Russian Space Agency"	0.109219
Marketspan	0.108484
"Handgun Control"	0.108342
"Department of Corrections"	0.107758
"Central Election Commission"	0.106702
MTA	0.106599
"Cuban American National Foundation"	0.10629
"Xinhua News Agency Hong Kong Branch"	0.105856
"State Statistics Bureau"	0.105784
"Democratic Congressional Campaign Committee"	0.105488
"National Marine Fisheries Service"	0.105453
"State Administration of Cultural Heritage"	0.105242
YankeeNets	0.105171
"Iranian Foreign Ministry"	0.104786
"Health and Human Services Department"	0.104475
"Air Transport Association"	0.10445
"Chinese Foreign Ministry"	0.104344
AmCham	0.104107
"Russian Interior Ministry"	0.102717
"Times Co."	0.102515
CSRC	0.10191
INEC	0.10186
SSB	0.101416
EC	0.101382
"Park Service"	0.100972
"House Budget Committee"	0.100808
BOI	0.100568
IAI	0.100379
"American Petroleum Institute"	0.0997399
"Home Ministry"	0.0996511
"Royal Bank"	0.0996252
"Democratic Senatorial Campaign Committee"	0.0994967
"Chevron Corp."	0.0994874
"Health Ministry"	0.098952
"Office of Management and Budget"	0.0989394
"British High Commission"	0.0987922
"Port Authority of New York"	0.0986578
"National Highway Traffic Safety Administration"	0.0975815
"EU Commission"	0.0975084
"Con Edison"	0.0974924
"Defense Agency"	0.0972608
"U.S. Census Bureau"	0.0969744
"Bank of Israel"	0.0958522
Warnaco	0.0957147
"Cathay Pacific"	0.0956981
MetLife	0.0956824
"Information Center"	0.0954319
"Metropolitan Transportation Authority"	0.0952115
Wada	0.0949395
UCI	0.0949041
"Motion Picture Association of America"	0.0942951
"National Association of Securities Dealers"	0.0942881
USATF	0.0942192
IEA	0.0938077
"National Federation"	0.0935008
"State Bureau of Environmental Protection"	0.0933335
"American Lung Association"	0.0927698
NTSB	0.0927684
"Department of Transportation"	0.0924853
"U.S. Soccer Federation"	0.0921184
"Department of Environmental Conservation"	0.0919634
"National Electoral Commission of Nigeria"	0.0919579
"Department of Commerce"	0.0919493
CCB	0.091328
"Fannie Mae"	0.0908725
"National Association of Broadcasters"	0.0908302
Eximbank	0.0908096
"House Appropriations Committee"	0.0904949
"State Statistical Bureau"	0.0902275
"Football Association"	0.0901582
"Central Bureau of Statistics"	0.0898594
SAirGroup	0.0896322
"Israeli Embassy"	0.0895785
"American Association of Health Plans"	0.0895508
ISTAT	0.0894284
"U.S. Agriculture Department"	0.0893234
KPA	0.0891151
"Kenya Airways"	0.0889908
"Census Bureau"	0.0887359
"National Security Council"	0.0886903
"Coca-Cola Enterprises"	0.0885873
Bridgestone/Firestone	0.0885555
"Organizing Committee"	0.0883726
IAAF	0.088312
"Time Warner Cable"	0.0880816
"Taiwan Affairs Office"	0.0878787
"Mastercard International"	0.0874814
SDPC	0.0874552
"U.S. Environmental Protection Agency"	0.0873841
AHA	0.0868865
SOCOG	0.0868578
"Federal Emergency Management Agency"	0.0868057
"Department of Foreign Affairs"	0.086707
"English Football Association"	0.0864143
Halliburton	0.0861584
HCFA	0.0860675
"Federal Security Service"	0.086055
"New York Times Co."	0.0859791
DFB	0.0859018
NASD	0.0857458
"Cathay Pacific Airways"	0.0856922
REVLON	0.0846421
CalPERS	0.0846211
"National Police"	0.0845334
"Atomic Energy Commission"	0.0843433
"Civil Aviation Administration of China"	0.0842564
"Association of Flight Attendants"	0.0840319
ICBC	0.0839974
"Symantec Corp."	0.0836124
"U.S. State Department"	0.083597
ITF	0.0835164
"National Tourism Administration"	0.0832509
ACOG	0.0831411
Nepa	0.0830641
USTA	0.0829068
"Halliburton Co."	0.0828144
"Charles Schwab &AMP; Co."	0.0827031
CPSC	0.0825778
"U.S. Defense Department"	0.0825501
"Hang Seng Bank"	0.0824663
"Electoral Commission"	0.0823865
Oxfam	0.0823182
"planning commission"	0.0822155
"Ministry of Foreign Trade and Economic Cooperation"	0.081889
"Department of Defense"	0.081727
USOC	0.0814707
AMC	0.0814516
SDB	0.081442
Lilco	0.0813149
"Coca-Cola Co."	0.0810692
CSA	0.0809873
"Pacific Exchange"	0.0807785
"Hong Kong Trade Development Council"	0.0807703
ITC	0.0807305
"Forest Service"	0.0806574
"Australian Bureau of Statistics"	0.0806445
"State Forestry Administration"	0.0806299
NSC	0.0806168
"Consumer Product Safety Commission"	0.0805732
"Screen Actors Guild"	0.0804859
"U.S. Forest Service"	0.0804601
"Federal Reserve Bank"	0.0803478
UNHCR	0.0803257
CSE	0.0803006
"National Education Association"	0.0802311
FIA	0.0801644
"Department of Health and Human Services"	0.0801273
"National Science Foundation"	0.0801231
"Pew Research Center"	0.0800346
UTC	0.0799272
CEC	0.0798685
"customs service"	0.0798619
"Salt Lake Organizing Committee"	0.079603
KPMG	0.0795
"Human Rights Campaign"	0.0794576
"Dell Computer Corp."	0.0792696
"Thermo Electron"	0.0792464
NiSource	0.0791989
"Business Council"	0.0791555
"U.S. Customs Service"	0.0791192
"Burlington Northern"	0.0791038
"Australian Olympic Committee"	0.0789336
McKesson	0.0788737
"Amnesty International"	0.0788657
))
(airs (desc 3038.76) (sims
weeknight	0.0797799
Tuesdays	0.0598315
Wednesdays	0.0519687
Fridays	0.0510289
Thursdays	0.0508188
blinder	0.0503285
Mondays	0.0465377
"time slot"	0.0464348
airplay	0.0451897
"boxing glove"	0.0442959
"ad blitz"	0.0404923
NewsHour	0.04034
))
(airship (desc 2304.49) (sims
Hindenburg	0.134225
zeppelin	0.127468
B-@s	0.0971644
blimp	0.0828953
X-@@	0.080572
"communications satellite"	0.0785754
"sailing vessel"	0.0775241
"hot-air balloon"	0.0755202
Kite	0.0751211
sailboat	0.0746164
glider	0.0722023
C-@@	0.0711295
"booster rocket"	0.0698419
Apaches	0.0697131
"particle accelerator"	0.0680915
frigate	0.065559
Learjet	0.0654224
"pedestrian bridge"	0.0650607
turboprop	0.0645358
"fighter aircraft"	0.0643388
"space probe"	0.0636811
osprey	0.0635446
"American plane"	0.0634164
"jet plane"	0.0618823
"container ship"	0.0618807
yacht	0.0593221
freighter	0.0579802
"cable car"	0.0576342
Concordes	0.0571321
"transport ship"	0.0568342
chopper	0.056456
"railway car"	0.0563901
collider	0.0562104
"fuel cell"	0.0561768
jetliner	0.0560525
"trial balloon"	0.0560315
LNG	0.0557485
"jet engine"	0.0553218
gunship	0.0551014
tanker	0.0550618
megaplexes	0.0549623
"weather satellite"	0.0541381
edifice	0.0541109
"oil tanker"	0.0539943
pontoon	0.0538854
hangar	0.053697
A@XX	0.0536392
IC	0.053635
"radio telescope"	0.0533311
airliner	0.0532123
destroyer	0.0531897
"Millennium Dome"	0.0531775
replica	0.0530297
"suspension bridge"	0.0529868
warplane	0.0529519
"New Carissa"	0.052838
MiGs	0.0526817
warship	0.0525567
"telephone network"	0.0525055
"Delta @"	0.0524867
"jigsaw puzzle"	0.0524506
EPZ	0.0522407
"house of cards"	0.0522249
Hummer	0.0521074
"mainframe computer"	0.0520281
biplane	0.0519237
"blue whale"	0.0515224
"nuclear reactor"	0.0513776
shantytown	0.0513284
"computer language"	0.0513187
timepiece	0.0512939
motherboards	0.0511646
"fiber optics"	0.0511174
"pricing system"	0.0508306
MiG-@@s	0.0506701
helium	0.0506497
submersible	0.0506094
A@@@	0.0506046
"application program"	0.0505454
"water heater"	0.0505054
A@@@-@@@	0.050502
harvester	0.0503639
"spy satellite"	0.0503571
JAT	0.0502237
B-@	0.0500536
"railway system"	0.0498566
hovercraft	0.0497701
spaceship	0.049641
"Belmont Learning Center"	0.049367
icebreaker	0.0493384
"Chevrolet Monte Carlo"	0.0493355
"weapons system"	0.0492541
"assembly hall"	0.0491718
"golf equipment"	0.0490537
Apache	0.0488179
"China Airlines"	0.0487607
"Chrysler Building"	0.048655
scaffolding	0.0485239
"cargo vessel"	0.0484458
"storage tank"	0.0481219
typeface	0.048053
spool	0.0476413
lightbulb	0.0476223
heliport	0.0475461
"power tool"	0.0474712
"storage device"	0.047219
"home appliance"	0.0471933
"Gulf Air"	0.0465953
ephedra	0.0465949
abattoir	0.0464975
parachute	0.0464963
"global positioning system"	0.0464158
Bergeron	0.0463333
"rain cloud"	0.0462801
propellant	0.0461665
"ocean liner"	0.0457271
"blue angel"	0.0456502
"exhibition hall"	0.045623
"cruise ship"	0.0455292
sherpas	0.045439
contraption	0.045337
steamboat	0.0452475
scaffold	0.0452442
"piece of furniture"	0.0451046
"Grand Ole Opry"	0.0450853
chassis	0.0450794
"Lincoln Bedroom"	0.0450521
"space vehicle"	0.0450432
MD-@@	0.0448187
"line of products"	0.0447791
"power unit"	0.0446921
fireball	0.0446731
F-@@	0.0445978
sarcophagus	0.0445721
tarpon	0.0444701
double-decker	0.0443163
copier	0.0442836
treehouse	0.0442641
stents	0.0442573
easements	0.0442056
"Gorges Dam"	0.044192
"attack submarine"	0.0441457
microprocessor	0.044115
polymer	0.0441057
"fishing rod"	0.0440258
Buicks	0.0440205
condom	0.0440156
microchip	0.0439896
"memory chip"	0.0439091
"cargo ship"	0.0438672
"gas plant"	0.0438645
spinnaker	0.043852
"highway system"	0.0438424
DC-@s	0.0438177
DC-@	0.0437909
Concorde	0.0436833
"portable computer"	0.0436597
workstation	0.0436217
"Gorges Project"	0.0434126
"Ferris wheel"	0.043406
cistern	0.0434018
cookware	0.0434018
schooner	0.0433837
"computer hardware"	0.0433747
"gambling casino"	0.0433663
"Reform Judaism"	0.0433037
munition	0.0432834
left-winger	0.0432834
"wind power"	0.0429292
battleship	0.042854
Orbiter	0.042813
playlists	0.0428067
"nuclear-powered submarine"	0.0427835
waterworks	0.0427664
Prowler	0.0426583
cityscape	0.0426343
truss	0.0425486
commode	0.0425038
F-@@s	0.0424466
scooter	0.0424291
chinook	0.0423108
dragonfly	0.0421928
KLIA	0.0421194
"transmission line"	0.0421172
"electronic database"	0.0420779
"railroad car"	0.0419112
sloop	0.0419055
"wine cellar"	0.04179
VCD	0.0417269
watercraft	0.0416982
"passenger car"	0.0416813
"Terminal @"	0.0416126
Cassini	0.0415072
"atomic energy"	0.0414774
"Joint Strike Fighter"	0.041459
"breast implant"	0.0413449
windmill	0.0412953
houseboat	0.0412883
"Erie Canal"	0.0412883
"female body"	0.0411215
))
(airspace (desc 25988.3) (sims
"territorial water"	0.157779
territory	0.110315
sortie	0.106182
"air base"	0.0992866
Sky	0.0957854
space	0.0882407
airport	0.0819668
sovereignty	0.0809644
airbase	0.0801721
border	0.0774655
zone	0.0772754
warplanes	0.0729764
aircraft	0.0715078
Iraq	0.0704075
"Air Force"	0.0695055
"air defense"	0.0687975
"armed forces"	0.0661717
port	0.0650253
seaport	0.0628418
"foreign minister"	0.0623425
airfield	0.0620451
waterway	0.0618715
Cyprus	0.0593906
"naval forces"	0.0585568
"Foreign Ministry"	0.0579353
embassy	0.0578536
plane	0.0566488
airliner	0.0564171
parliament	0.0561048
"military force"	0.0552738
"diplomatic mission"	0.0544495
"Persian Gulf"	0.0530271
Yugoslavia	0.0529676
"security force"	0.0526556
airforce	0.0520732
armament	0.0518043
fleet	0.0517329
harbor	0.0517209
"deputy foreign minister"	0.0515972
checkpoint	0.0513226
Albania	0.0512815
countryside	0.051073
"military capability"	0.0509521
airplane	0.0506199
"Justice Ministry"	0.0503803
Chechnya	0.0503789
"national anthem"	0.0502427
Ambassador	0.0501201
coast	0.0497776
helicopter	0.0497349
Freetown	0.0496692
missile	0.0494669
corridor	0.0493508
soil	0.0492924
"military post"	0.049059
airline	0.0489167
airstrip	0.0489155
Afghanistan	0.0486603
"continental shelf"	0.048255
coastline	0.0480358
orbit	0.0480118
Mediterranean	0.0480021
protectorate	0.0479745
Aegean	0.0479262
aerospace	0.0478337
army	0.0474991
"natural resource"	0.0474315
businessmen	0.0471383
Kabul	0.0468155
Lebanon	0.0466947
highway	0.0464272
passport	0.0463032
"Barents Sea"	0.046213
"shipping company"	0.0460623
patrol	0.045864
"national flag"	0.0458629
diplomat	0.0458109
aeronautics	0.0457619
integrity	0.0457432
"air raid"	0.0457237
railway	0.0453052
Kashmir	0.0448507
constitution	0.044543
citizenship	0.0445352
occupation	0.0444351
Canal	0.0443706
desert	0.044368
"traffic control"	0.0443221
Kuwait	0.0439066
"railway system"	0.0438601
terrain	0.0436934
forest	0.0436439
delegation	0.0435533
Baghdad	0.043552
"port of entry"	0.0434381
strait	0.0434155
consulate	0.0434027
"Pacific Ocean"	0.0433505
"military action"	0.0432089
Beirut	0.0431311
Bosnia	0.0431282
independence	0.0430793
"mass media"	0.0429902
Serbia	0.0427297
"legal system"	0.0427191
Judiciary	0.0426494
airstrikes	0.0425484
civilian	0.0425097
"military personnel"	0.0424996
"Gaza Strip"	0.042485
JERUSALEM	0.0424272
"military installation"	0.0423768
blockade	0.0422541
radar	0.0422334
"Ministry of Health"	0.0422237
"mineral resource"	0.0421893
Consulate-General	0.0421524
"oil production"	0.0421301
"political arena"	0.0417409
valley	0.0417283
"patrol boat"	0.0416862
artillery	0.041641
aggression	0.041629
"business community"	0.0416203
infrastructure	0.0414016
incursion	0.0413571
islet	0.0412385
"mountain pass"	0.0412079
counterpart	0.0411054
custom	0.0410623
"surface-to-air missile"	0.04098
Karachi	0.0406459
"industrial park"	0.0404927
Sudan	0.0404147
warship	0.0403605
"computer network"	0.0403433
"stock exchange"	0.040296
Gulf	0.0402855
"security interest"	0.0401823
Gaza	0.0401811
aviation	0.0401113
))
(Airstream (desc 1326.57) (sims
decontamination	0.0806345
Humvee	0.0749676
"railroad car"	0.0720664
"Range Rover"	0.0683215
Ferraris	0.0680494
Hummer	0.0679295
"sailing vessel"	0.0675376
Orion	0.0660196
"Ford Explorer"	0.065788
Transamerica	0.0638645
"electric fan"	0.0636546
eight-minute	0.0620364
"Martin Lawrence"	0.0613566
"American Football League"	0.058809
teaser	0.0578619
Rolls	0.0578493
"railway car"	0.0570792
RV	0.0560171
Mapes	0.0559873
IMS	0.0544829
impala	0.0536591
Camaro	0.053648
panko	0.0536455
"Ma Bell"	0.0534507
"extension cord"	0.0530071
jeepney	0.0522002
"grocery bag"	0.0521776
"Land Rover"	0.0518019
Webcam	0.051613
"solar cell"	0.0516009
hearse	0.0514369
Miata	0.0514284
"fire truck"	0.0514008
Porsches	0.0509899
Davidian	0.0509276
ECN	0.050839
rhythm-and-blues	0.0507299
"fuel cell"	0.0497351
"evening bag"	0.0496314
Bentley	0.0495263
Lexus	0.0494636
toaster	0.04916
"Cliffs Notes"	0.0489278
"racing car"	0.0488461
axle	0.0487973
"fire wall"	0.0487701
"Blair Witch"	0.0486709
"film clip"	0.0483408
pizzeria	0.0482416
webcams	0.0478007
scooter	0.0474664
"Lincoln Navigator"	0.0472058
"Bora Milutinovic"	0.0469075
"beauty parlor"	0.0468608
"embryonic cell"	0.0467904
"brain wave"	0.0465294
lampshade	0.0464631
"station wagon"	0.0461245
Lafleur	0.0460766
Adelphia	0.0460618
supercomputer	0.0460412
endoscope	0.046035
"coaxial cable"	0.0459183
send-off	0.0458958
"ultraviolet light"	0.0457666
Skoda	0.0456468
MG	0.045635
emulator	0.0455717
corvette	0.0453062
clunker	0.0452788
"Gary Johnson"	0.0451248
keystroke	0.0451004
Acela	0.0450367
PDA	0.0450176
ARI	0.0449643
"Ford Escort"	0.0448581
NMD	0.0447038
reverser	0.0447033
Mustang	0.0446809
Stratus	0.0446228
"HBO &AMP; Co."	0.0444898
STARMEDIA	0.0443985
"space heater"	0.0443875
oil-for-food	0.0442861
"hypodermic needle"	0.0442712
Dutchmen	0.0441309
feistiness	0.0436496
afterburner	0.0435942
wallboard	0.0435441
"memory chip"	0.043514
"Herb Williams"	0.043411
freebies	0.043346
LPG	0.0432203
Fiorina	0.0431721
Haier	0.0431213
aphorism	0.043022
alpaca	0.0429933
LNG	0.042961
trowel	0.0426531
"Alta Vista"	0.0426245
A@@@s	0.0424132
abacus	0.042407
Grbac	0.0422267
"Potsdamer Platz"	0.0422074
harvester	0.0421722
"up to two"	0.0420406
skiff	0.0419958
"haute couture"	0.041966
"power unit"	0.0418579
"airplane ticket"	0.0416694
"wind power"	0.0416197
floppy	0.0415203
trolley	0.0414651
"New Democrat"	0.0413256
"rescue equipment"	0.0412315
"mosquito net"	0.0410698
AFL	0.040992
olestra	0.0409545
Buicks	0.0408982
"candy bar"	0.0408331
"electrical device"	0.040774
earpiece	0.0406188
B-@s	0.0404778
supercomputers	0.0404631
S-@@	0.0404164
"Dow Chemical"	0.040348
octogenarian	0.0403374
cistern	0.0403097
PSINet	0.040276
"Palm III"	0.0401673
"Rolls Royce"	0.0401071
pinch-hitters	0.0400942
))
(airstrike (desc 4128.3) (sims
"air attack"	0.218307
"air raid"	0.177198
airstrikes	0.163032
bombardment	0.148181
"military campaign"	0.14273
"military action"	0.142633
"ground attack"	0.142471
raid	0.105349
"surprise attack"	0.100911
aggression	0.096861
"air power"	0.0896944
onslaught	0.087284
"military mission"	0.0834361
putsch	0.0826656
"bombing run"	0.0782283
"subversive activity"	0.0765445
"military force"	0.0754261
"trade embargo"	0.0754092
sortie	0.0749281
shelling	0.0735585
airdrop	0.0729928
reprisal	0.0726234
filibuster	0.0714826
walkout	0.0712345
invasion	0.0711826
embargo	0.0704142
blockade	0.0703239
clampdown	0.070129
"nuclear-powered submarine"	0.0696614
protectorate	0.0679371
counterattack	0.067378
warplane	0.0669694
"enforcement action"	0.0667419
incursion	0.0663339
"takeover attempt"	0.0659875
"proxy fight"	0.0641838
airlift	0.0639571
"war game"	0.0637211
manoeuvre	0.0633964
"chemical warfare"	0.0632933
agitation	0.0632195
"expansion plan"	0.0629648
counter-offensive	0.0620353
"bomb blast"	0.0616251
"legal action"	0.0615632
"ad blitz"	0.0612973
pogrom	0.0611508
"cluster bomb"	0.0610634
deportation	0.0602014
"Proposition @"	0.0595948
"fund-raising drive"	0.0595775
dragnet	0.0592734
go-slow	0.0588899
"intelligence operation"	0.0582796
warplanes	0.0582518
"rate rise"	0.0582275
medium-term	0.0581767
atrocity	0.0580065
bloodbath	0.0575711
shutdown	0.057512
flare-up	0.0573082
"battle plan"	0.0570072
adventurism	0.0569491
"possible action"	0.0566406
"health check"	0.05658
sickout	0.0564291
retrenchment	0.0563973
"direct action"	0.0563646
"space walk"	0.056279
"Opium War"	0.0562684
firepower	0.0560282
infighting	0.0560008
Shays-Meehan	0.0558575
blackout	0.0555365
"bank withdrawal"	0.0554381
temblor	0.0553742
"volcanic eruption"	0.055149
reshuffle	0.055148
pullout	0.0549841
"work stoppage"	0.054932
"psychological warfare"	0.0548673
"margin call"	0.0548631
retaliation	0.0544305
"war crime"	0.0543603
mudslide	0.0540544
eviction	0.053937
"libel suit"	0.0538373
famine	0.0531091
closure	0.0530363
"Operation Desert Fox"	0.0530003
"rate hike"	0.0528901
"flash flood"	0.0527543
"interest rate increase"	0.0527536
roadshow	0.0526818
"military headquarters"	0.0526668
"spy satellite"	0.0525069
deluge	0.0524899
"police action"	0.0524337
barrage	0.0523977
armada	0.0522254
"artillery fire"	0.0521239
revolt	0.0517173
serviceman	0.0514842
disintegration	0.0514766
fumigation	0.0514264
enlargement	0.0513462
"hunger strike"	0.0513116
bloodletting	0.0512082
"combat mission"	0.0508872
conflagration	0.0507607
cleansing	0.0507603
"North Atlantic Treaty Organization"	0.0506877
"bank failure"	0.0506277
"bankruptcy proceeding"	0.0505867
bloodshed	0.0503858
expulsion	0.0503608
"military drill"	0.0503057
annexation	0.0502295
provocation	0.0501847
"inaugural address"	0.0501404
conscription	0.0500723
insurrection	0.0500697
Presense	0.0498741
mobilization	0.0497923
"diplomatic mission"	0.0497758
non-cooperation	0.0497371
deterrence	0.0497296
repression	0.0496817
escalation	0.0496076
"bankruptcy filing"	0.0489837
"hostile takeover"	0.0489776
"deficit reduction"	0.0488976
"chain reaction"	0.0486406
tsunami	0.0485843
"covert operation"	0.0485139
eruption	0.0484421
U.S.-British	0.0483074
"compromise plan"	0.048294
NMD	0.0481052
"dust storm"	0.0479113
"rate cut"	0.0478675
rioting	0.0478631
"cold spell"	0.0474828
"fund-raising campaign"	0.0474432
"air defense"	0.0472481
"army engineer"	0.0472417
"tidal wave"	0.047082
catastrophe	0.0470352
ratification	0.0469779
downsizing	0.0468236
pullback	0.0465593
Code-named	0.0463369
landslide	0.0462707
"biological warfare"	0.0462122
"arms race"	0.0460726
"meteorological satellite"	0.0459459
demolition	0.0458978
"coup attempt"	0.0458893
ultimatum	0.045798
repatriation	0.0457848
Helms-Burton	0.0457711
"oil slick"	0.0456369
"budget cut"	0.0453645
overcapacity	0.0453419
downpour	0.0453203
soliders	0.0451558
rampage	0.0449061
devaluation	0.0448358
"Super League"	0.0447089
FTA	0.044684
"legal proceeding"	0.0446802
sell-off	0.0446786
brutality	0.0446727
electioneering	0.0446387
shake-up	0.044608
reorganization	0.0446078
"atomic bomb"	0.0443917
snowstorm	0.0442877
sensitization	0.0442821
exhumation	0.0442589
"military vehicle"	0.0440584
"germ warfare"	0.0439089
"space probe"	0.043755
reinforcement	0.0436976
"Playstation @"	0.0436589
spraying	0.0435472
Typhoon	0.0433667
"Ministerial Conference"	0.0433152
"price war"	0.0433052
"Hail Mary"	0.0432938
countermeasure	0.0431277
rainstorm	0.0431244
"road show"	0.0430499
"price cutting"	0.042919
insurgency	0.0428321
expansionist	0.0427913
"white person"	0.0426748
imposition	0.0426681
"Southern Command"	0.0426665
"change of mind"	0.0426653
))
(airstrikes (desc 58242.4) (sims
"air raid"	0.262819
"military action"	0.241461
"air attack"	0.241113
bombardment	0.226938
strike	0.217894
bombing	0.193394
raid	0.177887
attack	0.166635
airstrike	0.163032
offensive	0.148735
"military campaign"	0.134154
intervention	0.132304
aggression	0.131573
sanction	0.129716
assault	0.119873
deployment	0.118915
shelling	0.118608
war	0.115252
action	0.113882
crackdown	0.113704
embargo	0.113457
NATO	0.110895
fighting	0.106739
invasion	0.105171
"ground attack"	0.104529
operation	0.0988746
onslaught	0.0963069
missile	0.0948114
bloodshed	0.0939738
"military force"	0.0935699
blockade	0.0925911
violence	0.0925382
campaign	0.0910427
expulsion	0.0902245
confrontation	0.0898155
warplanes	0.0892121
Iraq	0.0875942
boycott	0.0873222
withdrawal	0.0873158
hostility	0.0869408
conflict	0.0868944
force	0.085937
crisis	0.0852153
"air power"	0.0849097
Mission	0.0840581
clash	0.082946
incursion	0.0828445
closure	0.0824646
takeover	0.0821094
"war game"	0.0820865
escalation	0.0819541
enlargement	0.0817962
Yugoslavia	0.0817151
barrage	0.081471
expansion	0.0811593
decision	0.0809495
killing	0.0804543
terrorism	0.0803952
unrest	0.080203
Execution	0.0801751
protest	0.0797687
sortie	0.0796328
cleansing	0.0792408
walkout	0.0788171
bomb	0.0784412
atrocity	0.0781436
negotiation	0.0779933
threat	0.0779303
resolution	0.0778592
"legal action"	0.0773249
retaliation	0.0771246
"surprise attack"	0.0767014
exercise	0.0765189
impeachment	0.0764792
demonstration	0.0761753
massacre	0.0761558
accord	0.075856
coup	0.0756923
cease-fire	0.0755769
incident	0.0751633
pullout	0.0749953
policy	0.0748219
artillery	0.0747222
maneuver	0.0743306
troop	0.0742977
devaluation	0.0741783
Kosovo	0.0738196
explosion	0.0737219
deportation	0.0736523
hike	0.0736303
occupation	0.0734692
"military mission"	0.0733927
"bombing run"	0.0733607
repression	0.0733196
buildup	0.0732976
firing	0.07312
arrest	0.0731029
mediation	0.0730117
effort	0.0722521
layoff	0.0721936
evacuation	0.0720869
counterattack	0.0720454
proceeding	0.071673
agreement	0.0714834
"bomb blast"	0.0714139
activity	0.0713824
Privatization	0.0712266
"rate increase"	0.071137
diplomacy	0.0706092
crises	0.0703581
resumption	0.0701924
"work stoppage"	0.0701413
"civil war"	0.0699875
destruction	0.0698872
collapse	0.0697599
initiative	0.0697022
proposal	0.0695315
turmoil	0.0694282
settlement	0.0691489
"missile defense system"	0.0691477
shutdown	0.0691422
standoff	0.0691229
removal	0.068951
assassination	0.0686753
Milosevic	0.0685765
riot	0.0685254
"rate hike"	0.0685233
"North Atlantic Treaty Organization"	0.0684424
flood	0.0683345
act	0.0683224
"arms race"	0.0680621
kidnapping	0.0680486
attempt	0.068026
catastrophe	0.0677568
"Operation Desert Fox"	0.0674047
reshuffle	0.0673753
blast	0.0670949
reform	0.0669507
ambush	0.0669323
ceasefire	0.0669224
lawsuit	0.0668245
sickout	0.0666521
combat	0.066364
election	0.0662683
pullback	0.0662126
involvement	0.0659689
disaster	0.0656851
"rate cut"	0.0656782
BELGRADE	0.0656081
casualty	0.0653639
ban	0.0652696
inspection	0.0651926
"trade embargo"	0.06513
investigation	0.0649351
blackout	0.064916
Baghdad	0.0648156
inquiry	0.0648059
measure	0.0646609
Declaration	0.0646125
warfare	0.0645611
"price increase"	0.0643935
merger	0.0642212
detention	0.064145
rebellion	0.064143
breakup	0.0640113
reprisal	0.0636497
Implementation	0.0634109
rioting	0.0633871
eviction	0.0633245
hijacking	0.0631014
legislation	0.0630769
defection	0.0629106
rejection	0.0628288
participation	0.0626106
test	0.0625474
Alliance	0.0625145
testing	0.0623536
demolition	0.0623515
earthquake	0.0622796
famine	0.0622237
process	0.0621485
Dismissal	0.0619303
"artillery fire"	0.0619029
"economic crisis"	0.0617133
peacekeeper	0.06155
Serbia	0.0615487
"budget cut"	0.061308
provocation	0.0612528
truce	0.061099
"coup attempt"	0.0610779
resignation	0.0609982
battle	0.0609171
summit	0.0607946
imposition	0.0607124
failure	0.0605622
instability	0.0605159
delay	0.0604811
"Vietnam War"	0.0603458
repatriation	0.0602731
recession	0.0602698
))
(airstrip (desc 11493.6) (sims
airfield	0.174202
"air base"	0.14621
airbase	0.135941
"landing strip"	0.125548
airport	0.0984752
"Capital Airport"	0.0952831
"Miami International Airport"	0.0899475
"Macao International Airport"	0.086347
runway	0.0821015
"army base"	0.0806668
"Heathrow Airport"	0.0804988
barrack	0.0802469
"Entebbe International Airport"	0.0800912
"access road"	0.0797428
depot	0.0795724
"Ben-Gurion Airport"	0.0754391
"Newark International Airport"	0.0752835
Stansted	0.073236
"Andrews Air Force Base"	0.0731631
"Dulles International Airport"	0.0719692
checkpoint	0.0715726
"Hong Kong International Airport"	0.0711827
berm	0.0703321
"police station"	0.0686803
"sea lane"	0.0674504
hideout	0.0672514
"power station"	0.0672469
"Omaha Beach"	0.0670834
"John F. Kennedy International Airport"	0.0662355
seaport	0.0660181
campgrounds	0.0637975
outpost	0.063616
dock	0.0636021
highway	0.063055
"railroad track"	0.0628596
"Kennedy Airport"	0.061812
"railway station"	0.0613048
"shopping center"	0.0612851
"Logan International Airport"	0.061086
hilltop	0.0606776
"main road"	0.0606526
"oil pipeline"	0.0602801
campground	0.0598029
"Elephant Pass"	0.0595658
Charikar	0.0595559
mosque	0.0590745
"power plant"	0.059064
hut	0.05888
hangar	0.0581154
"military installation"	0.0581123
"Kennedy International Airport"	0.057638
cemetery	0.0575461
plantation	0.0575156
stronghold	0.0571379
"pumping station"	0.0570524
plaza	0.0569929
campsites	0.0567903
"Hartsfield International Airport"	0.0566868
"fire station"	0.0566545
"railroad line"	0.0562894
"Fort Dix"	0.0561867
"Kai Tak Airport"	0.0560855
"rail line"	0.0556554
ranch	0.0556512
enclave	0.0555108
farmland	0.0554547
waterworks	0.0550556
orphanage	0.0549094
"gas station"	0.0548605
Warehouse	0.0547792
Mankulam	0.0546013
railway	0.0545957
"railway system"	0.0538367
"Kai Tak"	0.0537991
subdivision	0.0537169
taxiway	0.0537111
"parking lot"	0.0534845
clinic	0.0534545
"target range"	0.0534115
"shopping mall"	0.05326
"Los Angeles International Airport"	0.0532533
"industrial park"	0.0531066
"railroad station"	0.0529492
"bus station"	0.0528449
"post office"	0.0527803
refinery	0.0527653
"ring road"	0.052531
crossing	0.0524472
"telephone exchange"	0.0523788
motorway	0.052296
"petrol station"	0.0522748
"conference center"	0.0521855
"polling station"	0.0521434
installation	0.0514182
mortuary	0.0513338
garrison	0.0513333
"firing range"	0.0511788
"place of worship"	0.0510061
"office building"	0.0509881
"Kennedy Space Center"	0.0509691
"mountain pass"	0.050787
"community center"	0.050706
"water system"	0.050528
"command post"	0.0504788
reservoir	0.0504393
Canal	0.0503959
"apartment building"	0.0503816
Monastery	0.0503719
roadway	0.0503061
tarmac	0.0502169
encampment	0.0501467
dam	0.0501438
"Cairo International Airport"	0.0500389
tunnel	0.0498447
"military post"	0.0497924
"parking area"	0.049606
"aircraft carrier"	0.0494597
"power line"	0.0494542
dumps	0.0494189
terminal	0.0492464
"power grid"	0.0491823
substation	0.0491017
bunker	0.04902
"athletic field"	0.0490092
"sphere of influence"	0.048977
airspace	0.0489155
dike	0.0487689
pier	0.0487048
"bus stop"	0.0486612
Guadalcanal	0.0486598
dwelling	0.0485888
"transmission line"	0.0485538
byway	0.0485079
crematorium	0.0484531
morgue	0.0484379
"railway line"	0.0483656
gymnasium	0.0482464
oases	0.0480659
intersection	0.0479835
"living quarters"	0.0479463
Kilinochchi	0.0478909
thoroughfare	0.0477653
"train station"	0.0477426
"U.S. Embassy"	0.0476743
"military hospital"	0.0476524
shack	0.0475807
laboratory	0.0475306
infirmary	0.0473529
Hamlet	0.0472118
Juba	0.0471526
interstates	0.0470532
embankment	0.0468034
"oil refinery"	0.0467438
"water project"	0.0466969
Castle	0.0466688
"parade ground"	0.0465568
"swimming pool"	0.0464616
waterway	0.0464601
Jaffna	0.0463906
outskirt	0.0462618
wharf	0.0462552
campsite	0.0459841
garage	0.0459705
corridor	0.0459355
"recreational facility"	0.0458941
terrain	0.045791
"South Pole"	0.045766
"polling place"	0.0457621
Kismayu	0.0457247
"field hospital"	0.0456017
guesthouse	0.0455614
Aviano	0.0455568
"camp site"	0.0454358
Kabul	0.0453839
"bus terminal"	0.045286
sanctuary	0.0452091
motel	0.0451879
"La Guardia Airport"	0.0451837
palace	0.0451825
"medical center"	0.0450188
"Highway @@"	0.0449484
Incirlik	0.0449392
"police headquarters"	0.0449022
dormitory	0.0448871
"Fort Bragg"	0.0447887
Midrand	0.0447055
"amusement park"	0.0446814
Kandahar	0.044678
"research center"	0.0446762
hideaway	0.0446622
peninsula	0.0446506
freeway	0.0445831
"primary school"	0.0445646
latrine	0.044523
township	0.0444661
graveyard	0.0443995
"golf course"	0.0442883
"control tower"	0.0442382
farmhouse	0.0441666
classroom	0.0440505
))
(airtime (desc 3634) (sims
airplay	0.107372
"free time"	0.0920544
"leisure time"	0.0768268
"prime time"	0.0749432
"elbow room"	0.0721221
"breathing room"	0.0715983
"breathing space"	0.0695766
downtime	0.0684948
"foot traffic"	0.0664593
"round-trip ticket"	0.0621564
"time off"	0.0620052
"spare time"	0.059851
"storage space"	0.0598127
bandwidth	0.0589453
"talking head"	0.0576332
"fishing license"	0.0576096
airwaves	0.0569878
Leeway	0.0569475
"natural ability"	0.0566772
easements	0.0562126
"ad blitz"	0.0553532
postage	0.054908
voice-overs	0.054544
"life insurance"	0.0537085
oomph	0.0533945
"one million dollars"	0.0525489
"tax treatment"	0.051683
horsepower	0.0515628
"viewing audience"	0.0514723
"office space"	0.0513726
handshaking	0.0509766
"prescription drug"	0.0504502
bleep	0.0500858
"utility program"	0.0497424
viewership	0.0495184
six-pack	0.0494178
"trial and error"	0.04937
"three pitchers"	0.0492317
"calling card"	0.0490926
newscast	0.0481946
housework	0.0481519
subscription	0.0480738
"tool kit"	0.0478781
"Official Development Assistance"	0.0474381
"season ticket"	0.047426
non-Social	0.0472182
ticker	0.0467607
"plane ticket"	0.0464747
enrollee	0.04641
heartening	0.0462282
flak	0.0462
"death benefit"	0.0460791
NTL	0.04607
"one million yuan"	0.0460319
timeouts	0.0455926
tapa	0.0451184
"hospital care"	0.0448988
"Cliffs Notes"	0.0446814
"airplane ticket"	0.0445473
grist	0.0444921
Petrofina	0.044483
"non-performing loans"	0.0443754
"farm machine"	0.0441729
BSKyB	0.0440973
Webcast	0.0439576
"prize money"	0.0439178
homework	0.0438797
melatonin	0.0437182
gumption	0.0436903
NPLs	0.043434
"heating oil"	0.0434339
megaplexes	0.0433736
intangible	0.0432528
"local call"	0.0432111
"prescription medicine"	0.0430267
leptin	0.043012
S-@@@	0.0428536
"tax benefit"	0.0427056
B-@s	0.0426993
shredder	0.0424423
"news show"	0.042434
flack	0.0423793
"working day"	0.0423792
ribbing	0.0423482
birdbath	0.0421808
makeovers	0.0421715
spunk	0.0419141
hand-holding	0.0417924
pizazz	0.0417725
"production equipment"	0.0414781
homebuyers	0.041437
cloudiness	0.0413816
"loaf of bread"	0.0412363
ODA	0.0412196
parkland	0.0412083
rep	0.0410841
"Craig McCaw"	0.0409677
mileage	0.0409602
"speeding ticket"	0.0409587
"extra time"	0.0409127
"Mobil Corp."	0.0408754
"white elephant"	0.0408669
"reserve fund"	0.0407738
"time slot"	0.0407512
trinket	0.0406613
"two million yuan"	0.0406466
"national income"	0.0405813
"small talk"	0.0405581
"hypodermic needle"	0.0405384
"export credit"	0.0403456
calory	0.0401903
"service contract"	0.0401196
gavel	0.0400508
hedging	0.0400007
))
(Airtouch (desc 8692.23) (sims
GTE	0.235178
"U S West"	0.231492
"Airtouch Communications"	0.223568
Mannesmann	0.222668
MCI	0.204811
Warner-Lambert	0.202679
NatWest	0.197201
Mediaone	0.195965
Ameritech	0.194525
VoiceStream	0.193222
"Telecom Italia"	0.191767
"Bell Atlantic"	0.191621
SBC	0.186206
Omnipoint	0.183133
Vodafone	0.182334
Qwest	0.17807
ALZA	0.17474
TCI	0.168275
Bestfoods	0.166407
Nextel	0.164013
"US West"	0.161814
Vivendi	0.160166
"Sprint PCS"	0.159198
ARCO	0.157491
BellSouth	0.155476
ascend	0.152889
WorldCom	0.15164
sprint	0.15079
"Newport News"	0.150222
"U.S. Trust"	0.148768
"US Airways"	0.14851
Lycos	0.148025
"Sprint Corp."	0.147785
Petrofina	0.146907
"MCI WorldCom"	0.144387
Broadcast.com	0.144057
"Deutsche Telekom"	0.143907
Avondale	0.143449
BankAmerica	0.143049
McKesson	0.14161
"Time Warner"	0.140532
Paribas	0.140052
"Bankers Trust"	0.138865
Comsat	0.138041
RJR	0.137763
COLTEC	0.137726
BankBoston	0.137384
"Thermo Electron"	0.135415
YPF	0.134436
Ciena	0.13335
Norwest	0.133312
"Ameritech Corp."	0.132167
Aetna	0.132041
"Global Crossing"	0.131151
Pairgain	0.131015
"Fred Meyer"	0.13064
"SBC Communications"	0.130456
"MediaOne Group"	0.130135
"Bell Atlantic Corp."	0.129888
"Vodafone AirTouch"	0.129072
"Learning Co."	0.129002
Viacom	0.128109
"Bay Networks"	0.126577
NORTHROP	0.125691
XYLAN	0.125594
"KCP&AMP;L"	0.124038
"Y&AMP;R"	0.124006
"Niagara Mohawk"	0.12283
TYCO	0.122459
Alltel	0.121084
"National Grid"	0.120784
"HBO &AMP; Co."	0.120638
"Societe Generale"	0.12011
"America West"	0.120012
Seagram	0.119119
Amoco	0.11899
Nortel	0.118852
Verizon	0.11885
Asarco	0.118783
ExciteAtHome	0.11826
Healtheon	0.117789
Emulex	0.11743
KPN	0.116991
"RJR Nabisco"	0.116865
"Wells Fargo"	0.116434
Daimler	0.115874
Mobil	0.115615
SkyTel	0.114925
Telefonica	0.114697
Nabisco	0.114256
"Air Canada"	0.114236
CMGI	0.113913
Netcom	0.113878
Comcast	0.113542
BofA	0.113226
SmithKline	0.112904
PLDT	0.11281
Texaco	0.112797
"Times Mirror"	0.112676
"GTE Corp."	0.112363
EMC	0.11177
Terra	0.11142
TELLABS	0.110991
E-LOAN	0.110969
Monsanto	0.110481
ENTERGY	0.110436
EarthLink	0.110408
"USA Networks"	0.109983
"BP Amoco"	0.109858
MindSpring	0.109494
Infoseek	0.108768
Volvo	0.108229
WPP	0.108211
"News Corp."	0.107658
"Atlantic Richfield"	0.107334
"Orange PLC"	0.107173
"BankBoston Corp."	0.107142
"British Telecom"	0.10711
Lilco	0.106976
UAL	0.106726
Honeywell	0.106505
Astra	0.106272
"T Corp."	0.105929
Seagate	0.105108
Broderbund	0.105011
"Frontier Corp."	0.104832
"Chronicle Publishing"	0.104727
Halliburton	0.104562
Biogen	0.104444
"British Telecommunications"	0.103829
WebMD	0.1036
Asda	0.103565
SDL	0.103503
"Berkshire Hathaway"	0.103306
"Nippon Credit"	0.1031
PolyGram	0.102118
"Bankers Trust Corp."	0.101816
"phone company"	0.101201
Starwood	0.100585
Webvan	0.100537
GANNETT	0.100453
Northpoint	0.100355
LTCB	0.100354
Chevron	0.10022
AOL	0.0997605
"American Home"	0.0997119
"Tele-Communications Inc."	0.0993154
AMR	0.0992957
"American Home Products"	0.0989984
"P&AMP;G"	0.0988809
"France Telecom"	0.0986188
BCE	0.0984847
"Computer Associates"	0.0983533
Sunbeam	0.0980052
Cisco	0.0976142
"Pac Bell"	0.0975053
Schwab	0.0971592
"Lycos Inc."	0.0969524
NTL	0.0966027
Cendant	0.0958533
"Rite Aid"	0.0947961
Kroger	0.0947551
Fingerhut	0.094702
"Pacific Century"	0.0946444
"Atlantic Richfield Co."	0.0945451
Warnaco	0.0944268
Checkfree	0.094161
"Pacific Bell"	0.0941341
Exxon	0.0939267
Rolls-Royce	0.0937946
KLM	0.0935553
Unicom	0.0934134
Kia	0.0933691
AlliedSignal	0.0932202
Pfizer	0.0931746
REVLON	0.092875
Berkshire	0.0927548
Cabletron	0.0927192
"Baby Bells"	0.0927139
"London Stock Exchange"	0.0925216
"Deutsche Bank"	0.0924846
"Southwestern Bell"	0.0924845
Netscape	0.0924184
AIG	0.0923375
"MCI Communications Corp."	0.0916803
HBOC	0.0915902
Agilent	0.0915534
NTT	0.0909615
Conoco	0.0904068
Mattel	0.0904009
VENATOR	0.0903739
Weyerhaeuser	0.090203
"telephone company"	0.0901212
Chiron	0.0896312
Alcatel	0.0896049
Gillette	0.0893102
Scania	0.0891406
NationsBank	0.0889027
Cablevision	0.0888582
"Phelps Dodge"	0.0888316
))
("Airtouch Communications" (desc 1590.43) (sims
"Orange PLC"	0.22415
Airtouch	0.223568
"Frontier Corp."	0.223391
"MediaOne Group"	0.223058
"Ameritech Corp."	0.210439
Ameritech	0.194886
"U S West Inc."	0.190529
"GTE Corp."	0.172691
"MCI Communications Corp."	0.1637
"U.S. Trust"	0.160527
GTE	0.1529
"SBC Communications"	0.151141
"Fred Meyer"	0.150456
"Tele-Communications Inc."	0.148797
Omnipoint	0.143873
VoiceStream	0.143566
"Atlantic Richfield Co."	0.141053
"Sprint Corp."	0.138875
"Mannesmann AG"	0.136439
"U S West"	0.134661
Petrofina	0.13445
Mediaone	0.130718
"Sprint PCS"	0.129727
"SBC Communications Inc."	0.126907
"Bankers Trust Corp."	0.126185
ALZA	0.124948
"Reno Air"	0.123802
"US West"	0.123391
"Atlantic Richfield"	0.121799
"Northeast Utilities"	0.120805
Bestfoods	0.117729
Nextel	0.115882
"Telecom Italia"	0.115414
"Monsanto Co."	0.114258
"Lycos Inc."	0.114019
BellSouth	0.110565
SBC	0.109945
MCI	0.106967
"Global Crossing Ltd."	0.105788
TCI	0.104195
"Times Mirror Co."	0.104179
Warner-Lambert	0.104035
Qwest	0.104016
"Vodafone AirTouch"	0.103422
"MCI Worldcom Inc."	0.102079
"Mobil Corp."	0.098455
"Learning Co."	0.0982687
"MCI WorldCom"	0.0972357
"Times Mirror"	0.0956128
Avondale	0.0946019
Broadcast.com	0.0936948
"Rolls-Royce Motor Cars"	0.093533
"Halliburton Co."	0.0925621
NatWest	0.0913913
Vodafone	0.0912544
"McDonnell Douglas"	0.0910982
Paribas	0.0905428
Comcast	0.0884239
SkyTel	0.0884153
"Nippon Telegraph"	0.0881347
"Vodafone Airtouch PLC"	0.087694
"BankBoston Corp."	0.0871682
ExciteAtHome	0.0868407
Qualcomm	0.0858401
"Digital Equipment"	0.0850797
PolyGram	0.084745
GeoCities	0.0834652
"Bankers Trust"	0.0832508
"MindSpring Enterprises"	0.0830729
"BankAmerica Corp."	0.0827006
"T Corp."	0.080968
ARCO	0.0809676
"Bell South"	0.0799733
Chris-Craft	0.0798675
"Warner-Lambert Co."	0.0794203
"US Airways"	0.0790801
"Global Crossing"	0.0788256
Healtheon/WebMD	0.0777873
"Lotus Development Corp."	0.0777565
"Union Carbide"	0.0774608
Ciena	0.0772335
Comsat	0.0772333
"Bay Networks"	0.0769905
"America West"	0.0769852
"Bell Atlantic Corp."	0.0764453
"Softbank Corp."	0.0762904
"RJR Nabisco"	0.0759741
"HBO &AMP; Co."	0.0759708
Orangina	0.0758661
Telefonica	0.0754649
"Digital Equipment Corp."	0.0753869
Scania	0.0753291
"controlling interest"	0.0748876
"Comcast Corp."	0.074834
"J.P. Morgan &AMP; Co."	0.0747058
"Chrysler Corp."	0.0743203
Mobil	0.0741665
"Netscape Communications"	0.0741081
"America West Airlines"	0.0733183
"Hambrecht &AMP; Quist"	0.0729716
IDC	0.0719138
"CBS Corp."	0.0718691
CitySearch	0.0717919
YPF	0.0715528
Asarco	0.0714462
"Saatchi &AMP; Saatchi"	0.0714407
"Time Warner Inc."	0.0713577
WebTV	0.0704789
Netcom	0.0704687
"Computer Associates"	0.0704537
SmithKline	0.0693437
"Learning Company"	0.0689178
Mannesmann	0.0687011
Emulex	0.068698
"non-performing loans"	0.068169
Seagram	0.0681344
"Hongkong Telecom"	0.0680569
Nabisco	0.0680175
Pairgain	0.0678887
"Berkshire Hathaway"	0.0678594
Verizon	0.0678155
Dexter	0.0677773
Monsanto	0.0677492
"Livent Inc."	0.0676054
"Seagram Co."	0.0668039
"Lucent Technologies"	0.0667457
Cerent	0.0661562
"Consolidated Edison"	0.066078
"Cox Communications"	0.065534
Infoseek	0.065507
Kia	0.0646849
Broderbund	0.0646097
Amoco	0.0644673
"software maker"	0.0644322
Tropicana	0.0644258
XYLAN	0.0641863
Comair	0.062845
ENTREMED	0.0626925
Media-MOST	0.0620231
"Cisco Systems Inc."	0.0612966
"WorldCom Inc."	0.0611085
COLTEC	0.0610555
"equity interest"	0.0609007
BankAmerica	0.0608933
"China Telecom"	0.0607461
Fingerhut	0.0604821
"Network Solutions"	0.0604346
Snapple	0.0602654
MindSpring	0.0602125
ITT	0.0601571
theglobe.com	0.0598295
Checkfree	0.0597202
"Times Co."	0.0596674
WebMD	0.0596653
CompuServe	0.0596034
"Southwestern Bell"	0.0593701
HomeGrocer.com	0.0584051
SDL	0.0582855
"minority stake"	0.058243
"Netscape Communications Corp."	0.0581432
"Delta Airlines"	0.058119
"Vanguard Group"	0.0571102
PaineWebber	0.0571077
WorldCom	0.0570958
"Air Canada"	0.0570716
"Royal Bank"	0.0568514
"Blue Cross"	0.0567231
"SmithKline Beecham"	0.0564907
Pinkerton	0.0561367
DrKoop.com	0.0559797
"Salomon Brothers"	0.0559737
China.com	0.0559336
"Real Networks"	0.0558033
"Symantec Corp."	0.0557697
Astra	0.0555087
hypermarket	0.0553988
"Pacific Bell"	0.0553491
Rolls-Royce	0.0552753
Gillette	0.0550464
EarthLink	0.0550181
"Nippon Credit Bank"	0.0550116
"Baby Bells"	0.0548436
"Wireless HKT"	0.0542426
MCA	0.0541739
Texaco	0.0532349
"Southwest Airlines"	0.0530289
Conoco	0.0529316
"British Telecom"	0.0529097
"CMGI Inc."	0.0526605
"Charles Schwab"	0.0524259
"American Home Products"	0.0523732
Reston	0.0523471
NationsBank	0.0521847
Citibank	0.0521431
"American International Group"	0.0519443
infinity	0.0519087
UAL	0.0518457
"Robertson Stephens"	0.0518013
Seagate	0.0516091
Olivetti	0.0515946
))
(AIRTRAN (desc 6666.71) (sims
"US Airways"	0.201612
"America West"	0.194248
TWA	0.170441
"Southwest Airlines"	0.161041
Aeromexico	0.157044
delta	0.154663
"Air Canada"	0.151671
KLM	0.149858
"El Al"	0.144635
Swissair	0.144507
"American Airlines"	0.142701
"Alaska Airlines"	0.141309
"United Airlines"	0.137465
"British Airways"	0.133994
USAir	0.133736
"Continental Airlines"	0.132695
"Northwest Airlines"	0.130297
Asa	0.128597
Aeroflot	0.126806
"Air France"	0.125818
continental	0.124505
"Air China"	0.123478
Comair	0.121394
"Cathay Pacific"	0.119335
EgyptAir	0.117747
"Delta Air Lines"	0.117167
Lufthansa	0.112422
"Trans World Airlines"	0.111567
airline	0.109895
"Kenya Airways"	0.108452
"Korean Air"	0.107432
"America West Airlines"	0.106895
JetBlue	0.106814
Qantas	0.106418
RJR	0.102793
"American eagle"	0.100636
Fedex	0.100388
Iberia	0.0982724
Sabena	0.0982192
"Reno Air"	0.0976002
"Cathay Pacific Airways"	0.0971062
"Air Lanka"	0.0958965
VENATOR	0.0947789
Cathay	0.0943739
"KCP&AMP;L"	0.0932343
"Thermo Electron"	0.0917337
"Singapore Airlines"	0.091652
Aetna	0.0913666
"U S West"	0.0897817
Lilco	0.0895685
"Bell Atlantic"	0.0883017
JAT	0.0878469
Dragonair	0.0869305
"MCI WorldCom"	0.0848624
"Waste Management"	0.0843111
UAL	0.0835659
"Philippine Airlines"	0.0832016
"Eastern Airlines"	0.0829968
JAL	0.0823981
"P&AMP;G"	0.082271
NiSource	0.0821545
"Bankers Trust"	0.0817715
Boeing	0.0814454
northwest	0.0814356
"Delta Airlines"	0.0813032
ExciteAtHome	0.0811655
Emery	0.0810355
MCI	0.0808565
Cendant	0.0797747
ups	0.079045
Amtrak	0.0789484
Verizon	0.078646
"Stride Rite"	0.0781594
"Advanced Micro"	0.0775526
Airlines	0.0775227
GTE	0.0774655
Monsanto	0.0763145
Starwood	0.0763097
MindSpring	0.0758489
EarthLink	0.0751152
AGL	0.0750793
"South African Airways"	0.0749598
Pepsico	0.0749488
ValuJet	0.0747417
Norwest	0.0746717
Overnite	0.0745525
ENTERGY	0.0743985
Alitalia	0.0742915
NCR	0.0741927
"Cox Communications"	0.07416
"Pan Am"	0.0739077
MiniMed	0.0736769
Sunbeam	0.0730443
Asda	0.0726406
Garuda	0.0725997
"Gulf Air"	0.0722636
"Global Crossing"	0.0721617
"China Airlines"	0.0721465
HBOC	0.0719932
"Learning Co."	0.0719659
Mattel	0.0719473
Airtouch	0.0718958
Warner-Lambert	0.0717963
Healtheon	0.0715603
Omnipoint	0.0715567
BofA	0.0713782
Priceline	0.0713317
AMR	0.0712765
REVLON	0.0711883
"Air India"	0.0708387
SGI	0.0708131
"Rite Aid"	0.0707081
McKesson	0.0704554
ARCO	0.070228
"Southwestern Bell"	0.0698144
"Times Mirror"	0.0697923
Qwest	0.0697703
DaimlerChrysler	0.0696798
SAA	0.0694145
BankAmerica	0.0693744
Viacom	0.0692679
"Pac Bell"	0.0690289
TYCO	0.0688686
Eurotunnel	0.0688559
FPL	0.0687524
"Canadian Airlines"	0.0685666
Scientific-Atlanta	0.0684557
"Y&AMP;R"	0.0684444
"RJR Nabisco"	0.0684138
"Phelps Dodge"	0.0679131
Lucasfilm	0.067867
"Atlantic Richfield"	0.0678246
WorldCom	0.0677676
"Dell Computer Corp."	0.0675431
Pfizer	0.0675321
Ba	0.0674411
"United Parcel Service"	0.0671676
ATC	0.0670837
sandpiper	0.0669507
"Telecom Italia"	0.0668845
"U.S. Trust"	0.0666238
"McDonnell Douglas"	0.0663974
"Association of Flight Attendants"	0.0663723
Cabletron	0.0663662
BellSouth	0.0663195
Warnaco	0.0654308
Amoco	0.0650083
Broderbund	0.0649191
Nabisco	0.0649102
XYLAN	0.0648798
"ticket agent"	0.0648165
Genzyme	0.0646996
Airbus	0.0646533
"Federal Express"	0.0645473
"BP Amoco"	0.0644751
ETrade	0.0644358
Tenneco	0.0641596
"Thai Airways"	0.0641371
EMC	0.0641122
COLTEC	0.063938
Mobil	0.0636029
Chiron	0.0634793
Chrysler	0.063401
Bestfoods	0.0633726
Compaq	0.0632283
"Time Warner"	0.0630946
Humana	0.0630521
Nortel	0.0629214
Gilead	0.0627588
Comcast	0.0627182
Asarco	0.0627009
CNET	0.0625539
CCA	0.0622159
Chevron	0.0621757
Halliburton	0.0620785
FAA	0.0619024
PLDT	0.0617674
"Ethiopian Airlines"	0.061683
CAAC	0.0614632
"Air Line Pilots Association"	0.0614244
Terra	0.0613583
Providian	0.0611884
E-Trade	0.0611663
CCE	0.061138
"Network Solutions"	0.0610996
AOC	0.0609331
Livent	0.060916
Merrill	0.0608101
"Sprint Corp."	0.0607313
NatWest	0.0607002
"Sprint PCS"	0.0606835
"Conde Nast"	0.0606742
"Sara Lee"	0.0606655
Alcoa	0.060626
Checkfree	0.0603523
ACLU	0.0603409
NORTHROP	0.0602115
Thyssen	0.0601735
Celera	0.0601219
Biogen	0.0599465
))
(airwaves (desc 19241.3) (sims
"talk show"	0.0831992
"cable system"	0.0731765
television	0.072306
newscast	0.0706964
radio	0.070045
"phone line"	0.0684635
"news show"	0.0667313
airway	0.0663008
TV	0.0650634
"television station"	0.0650208
"radio station"	0.0646463
"TV station"	0.064239
screen	0.0634
"telephone line"	0.0598657
"dance floor"	0.0581461
"broadcasting company"	0.057976
airtime	0.0569878
programming	0.0567715
"news program"	0.0566463
docket	0.0566121
"broadcast media"	0.0565817
broadcasting	0.0562685
"relay stations"	0.0543181
billboard	0.0542456
"public address system"	0.0539444
loudspeaker	0.0538467
shelf	0.0537502
"TV program"	0.052996
mailbox	0.0527658
"Capitol Hill"	0.0518922
campus	0.0509367
intercom	0.049155
"radio broadcast"	0.0489435
"television program"	0.0484928
classroom	0.0483309
sidewalk	0.0478612
"bulletin board"	0.0475812
"television network"	0.0469256
"cable television"	0.0460492
newsmagazines	0.0450369
courtroom	0.0447715
"news media"	0.0446166
"TV network"	0.0443485
waterway	0.0435914
"emergency room"	0.0433573
marketplace	0.0431825
"television show"	0.0423672
"wire service"	0.0422931
outlet	0.0422895
broadcaster	0.0421148
"World Wide Web"	0.0420292
"TV show"	0.0418693
"insurance market"	0.0416701
circuit	0.0416468
dial	0.0414747
"phone service"	0.0412742
ballot	0.0409851
"television news"	0.0409234
))
(airway (desc 5602.35) (sims
"blood vessel"	0.146939
"coronary artery"	0.11606
sinus	0.113096
artery	0.0985104
lung	0.0962555
"digestive tract"	0.0892064
intestine	0.0765964
"digestive system"	0.0727232
"spinal cord"	0.0721426
bowel	0.0692076
gallbladder	0.0683244
airwaves	0.0663008
"sea lane"	0.0661455
Airways	0.0619805
"prostate gland"	0.0616973
"heart muscle"	0.0614059
"central nervous system"	0.0612284
gland	0.061139
"nervous system"	0.0605665
pancreas	0.0601569
tissue	0.0600845
"heart valve"	0.0600788
lining	0.0598922
"vocal cord"	0.0586212
waterway	0.0584283
bladder	0.0583125
docket	0.0581276
nostril	0.0568358
stomach	0.0565524
roadway	0.0563675
throat	0.0560774
larynx	0.055764
railway	0.0557066
"broadcasting company"	0.054941
seaport	0.0547095
colon	0.0543383
eyelid	0.0541187
esophagus	0.0541166
"connective tissue"	0.0540612
"lymph node"	0.0531003
"Turkish Airlines"	0.0528563
expressway	0.0528103
prostate	0.0522552
"Ethiopian Airlines"	0.0520006
"blood pressure"	0.0519189
motorway	0.0509687
"Trans World Airlines"	0.0507562
"transportation system"	0.0503216
"insurance market"	0.0502615
abdomen	0.0500986
"inner ear"	0.0497041
Il-@@	0.0483377
gum	0.0480687
uterus	0.0474477
freeway	0.0473793
passageway	0.0471613
superhighway	0.0464238
crosswalk	0.0463637
kidney	0.0463463
womb	0.0459289
"El Al"	0.0459186
"sales outlet"	0.0459054
"Indian Airlines"	0.0458928
tonsil	0.0451799
Iberia	0.0450847
EgyptAir	0.0449955
interstates	0.0443375
AN-@@	0.0443012
"rail line"	0.0442052
"bone marrow"	0.0440728
"telephone network"	0.0440113
flue	0.0433811
"air travel"	0.0429556
"Indian Air Force"	0.0427778
back.	0.0423524
"arms industry"	0.0421702
"oil pipeline"	0.0421349
cornea	0.0419376
"main road"	0.0419372
"railway line"	0.0416299
"access road"	0.0416252
capillary	0.041605
"China Eastern Airlines"	0.0416024
"rib cage"	0.0415178
"supply line"	0.0412367
spigot	0.0412112
"power station"	0.0411246
pore	0.0410365
"port of entry"	0.0410009
"travel agency"	0.0408223
"acquired immune deficiency syndrome"	0.0405914
"Thai Airways International"	0.0404912
))
(Airways (desc 1328.1) (sims
Airlines	0.19033
"Eastern Airlines"	0.0983215
A-@@@	0.0960121
KPA	0.0948619
Emery	0.0946921
"McDonnell Douglas"	0.0828875
ATC	0.0797465
"Sdn Bhd"	0.0786802
"China Airlines"	0.0783737
ABSA	0.0772525
Nepa	0.0758942
USAir	0.0743293
GEC	0.0704941
Iberia	0.0691608
"Northwest Airlines"	0.068333
TAZARA	0.0678087
"British Foreign Office"	0.0674396
ValuJet	0.0661515
WEF	0.0648683
"Thai Airways"	0.0630431
airway	0.0619805
Swissair	0.0613955
"Culture Ministry"	0.0603855
SSB	0.0601901
Garuda	0.0594402
Denel	0.0578867
Cebu	0.0577461
"Israeli Foreign Ministry"	0.0576729
BSO	0.0569824
Lockheed	0.0569683
"U.S. Defense Department"	0.055895
"Home Ministry"	0.0555411
SDPC	0.0553023
"Transport Ministry"	0.0552947
Eskom	0.0550349
widebody	0.0531697
Starwood	0.0531504
Wyeth	0.0527839
AFA	0.0527319
"U.S. Soccer Federation"	0.0522312
Dragonair	0.0519186
Comelec	0.0518695
KLM	0.0517957
DKB	0.0517593
"Department of Public Health"	0.0514675
Massport	0.0511673
REACHES	0.0509263
"Defense Agency"	0.0508173
DFG	0.0506658
inspectorate	0.0506303
Caltrans	0.0505533
Aeromexico	0.0502372
CAAC	0.0493705
"State Police"	0.048752
YankeeNets	0.0486919
Telkom	0.0486168
Nikko	0.0484091
"U.S. Fed"	0.0480064
NARAL	0.0475651
"Department of Public Safety"	0.0475374
NIC	0.0474495
"BancBoston Robertson Stephens"	0.0474463
ACB	0.0472027
RAF	0.047171
CCA	0.0471391
"US State Department"	0.0466605
SAA	0.0466142
"Kenya Airways"	0.0465109
PTT	0.0461828
DC-@@	0.0461014
NiSource	0.0460691
"customs service"	0.0456765
AHP	0.0454456
IAI	0.0452689
"Air India"	0.045235
Govt	0.0449979
"Department of State"	0.0448675
Moma	0.0445334
BOI	0.0445136
"Labor Ministry"	0.04446
"Housing Authority"	0.044335
McKesson	0.044061
"Public Security Ministry"	0.0433189
BP	0.0432823
Alcan	0.0431478
"National Electoral Commission of Nigeria"	0.0431097
GPU	0.0428209
CNOOC	0.0424773
Daimler-Chrysler	0.0423292
ENTERGY	0.0421323
"ocean current"	0.0420594
NCR	0.0416753
CPSC	0.0416605
CSC	0.0415473
DEP	0.041468
Drexel	0.0413212
"Russian Interior Ministry"	0.0412347
"air force officer"	0.0410667
CSE	0.0410554
CIRC	0.0409199
FPL	0.040892
"U.S. Agriculture Department"	0.0407922
CPS	0.0406035
Kimbell	0.0404761
PNP	0.0400571
Sabena	0.0400467
))
(aisle (desc 34006.4) (sims
hallway	0.128388
"flight of stairs"	0.100309
"parking lot"	0.0957608
shelf	0.0942243
street	0.0898302
stair	0.0825415
corridor	0.0807152
hall	0.0799454
Stairway	0.0786335
fairway	0.0759211
lane	0.0754031
sidewalk	0.0750145
staircase	0.0743528
doorway	0.0736976
runway	0.0723918
floor	0.0717725
driveway	0.0681445
lobby	0.0671661
ramp	0.0669074
"red carpet"	0.0663672
rack	0.0662808
Alley	0.0661374
"main street"	0.0657784
room	0.0650167
balcony	0.0640182
Bin	0.0631506
section	0.0626542
foyer	0.0600623
stairwell	0.059331
shop	0.0590621
"waiting room"	0.0588274
front	0.0585466
closet	0.0577301
tunnel	0.0570921
counter	0.056772
square	0.0564091
window	0.0553379
pew	0.0552674
"Garvaghy Road"	0.0548601
auditorium	0.054656
row	0.0545523
wall	0.0541932
basement	0.0538444
path	0.0535418
table	0.0535293
booth	0.0531637
courtroom	0.0531394
courtyard	0.0527102
"Fifth Avenue"	0.0526976
"living room"	0.052691
concourse	0.0524551
"cash register"	0.0521065
boulevard	0.0520825
avenue	0.0520403
box	0.0519876
kitchen	0.0518471
ballroom	0.0516998
gallery	0.0516128
fuselage	0.0515403
mall	0.0508459
"dressing room"	0.0505608
walkway	0.050021
cashier	0.0497261
escalator	0.0494564
clubhouse	0.0493656
door	0.0493131
plaza	0.0492914
locker	0.0491714
Warehouse	0.0487058
stalls	0.0485763
roof	0.0485586
chamber	0.0478456
desk	0.0477267
entrance	0.0472889
corner	0.0471136
supermarket	0.0469725
deck	0.0468377
"dining room"	0.0466646
bedroom	0.0466592
clerk	0.0465127
tray	0.0463119
bathroom	0.0461796
"shopping cart"	0.0461499
hill	0.0459673
vestibule	0.0459023
dais	0.0457779
classroom	0.0457312
chain	0.0455678
cubicle	0.0453531
bed	0.0449962
bleachers	0.0447514
"locker room"	0.0446627
"back room"	0.0446586
"conference room"	0.044484
garage	0.0438065
compartment	0.0437563
downtown	0.0437513
storefront	0.0435042
cockpit	0.0434637
facade	0.0431116
cafeteria	0.0430159
gymnasium	0.0429722
interior	0.042641
restroom	0.0426171
bag	0.0426009
drawer	0.0425926
elevator	0.0425127
slope	0.0421328
cabin	0.0421264
hillside	0.0418766
trunk	0.0418442
canyon	0.0417251
lounge	0.0416022
lawn	0.041591
sideline	0.041464
ledge	0.0413789
"display case"	0.0413756
sanctuary	0.0409242
showroom	0.0408072
gate	0.0407969
ceiling	0.0406791
kiosk	0.0406786
container	0.0405768
"dance floor"	0.0405401
pit	0.0405356
windshield	0.0404251
cafe	0.0404239
arena	0.0402484
pantry	0.0400233
))
(Ajax (desc 10578.8) (sims
"Ajax Amsterdam"	0.24429
"AC Milan"	0.208948
"Real Madrid"	0.201787
"Inter Milan"	0.193947
"Bayern Munich"	0.185071
Fiorentina	0.176278
Juventus	0.174511
"Manchester United"	0.165065
Feyenoord	0.158926
Galatasaray	0.157042
Benfica	0.155981
Barcelona	0.146298
"Olympique Marseille"	0.145913
"Borussia Dortmund"	0.145181
Porto	0.142013
Inter	0.14189
Udinese	0.140542
"FC Barcelona"	0.137024
"Dynamo Kiev"	0.134384
"PSV Eindhoven"	0.133346
Bayern	0.133037
Kaiserslautern	0.130397
Anderlecht	0.1303
Liverpool	0.129184
Parma	0.128909
Spartak	0.1274
"Red Star"	0.126263
"Atletico Madrid"	0.125827
Olympiakos	0.125746
Tottenham	0.121033
Brondby	0.120249
Rosenborg	0.120121
"Newcastle United"	0.117735
Panathinaikos	0.116057
Napoli	0.115611
Sampdoria	0.115493
"Leeds United"	0.113984
Chelsea	0.113704
Valencia	0.112766
Internazionale	0.112564
"Aston Villa"	0.112087
"Kinder Bologna"	0.109702
"Spartak Moscow"	0.108285
"Bayer Leverkusen"	0.108118
Monaco	0.10786
"Boca Juniors"	0.105636
Newcastle	0.104642
Schalke	0.104598
"West Ham"	0.103992
"Shanghai Shenhua"	0.103692
Atletico	0.102951
Perugia	0.102135
Lazio	0.101867
"FC Porto"	0.0999036
Besiktas	0.0998153
"Schalke @@"	0.0993882
Heerenveen	0.0988677
Necaxa	0.098836
Palmeiras	0.0986223
Flamengo	0.0981864
corinthian	0.0979884
Roma	0.0977044
Auxerre	0.0967205
"Velez Sarsfield"	0.096492
"Glasgow Rangers"	0.0953868
MetroStars	0.0953364
Arsenal	0.0952961
"Borussia Moenchengladbach"	0.0949654
Bastia	0.0934656
Bari	0.0926159
Leeds	0.0923994
"Dalian Wanda"	0.0922193
Middlesbrough	0.0915991
"Colo Colo"	0.0914119
"River Plate"	0.0900306
Marseille	0.0894679
Gremio	0.0890758
Everton	0.0884821
"Los Angeles Galaxy"	0.0883786
Torino	0.0876283
Nacional	0.0871237
Canadiens	0.0869105
Betis	0.0865754
"Real Sociedad"	0.0865025
"Tottenham Hotspur"	0.0863589
Blackburn	0.0860911
Blackhawks	0.0858954
AEK	0.0857914
Fenerbahce	0.0851207
Dortmund	0.0850845
Vasco	0.0846836
"D.C. United"	0.0846129
Celta	0.0836057
"Real Betis"	0.0834146
"VfB Stuttgart"	0.0833412
"Nottingham Forest"	0.0832421
"Sturm Graz"	0.0831782
"Werder Bremen"	0.0828323
Eindhoven	0.0817773
"Miriam Oremans"	0.0813763
Bologna	0.0812759
Espanyol	0.0812089
Penarol	0.0811331
Salernitana	0.0807092
Obilic	0.0799089
Venezia	0.0797557
magpie	0.079175
Piacenza	0.0788261
"Celta Vigo"	0.0785919
"Richard Krajicek"	0.07832
"Team USA"	0.0781851
Cruzeiro	0.07796
Vitesse	0.0778999
"Sparta Prague"	0.0777221
Rennes	0.0777002
"Jubilo Iwata"	0.0773321
Canuck	0.0771805
Mallorca	0.0771004
"Sjeng Schalken"	0.0766703
"Maple Leafs"	0.0765034
Bruguera	0.0759801
PSG	0.0759256
Celtic	0.0757422
"Olympiakos Piraeus"	0.0751925
"Red Wings"	0.0751417
"Hertha Berlin"	0.0750304
LSU	0.074988
oiler	0.0746381
Schalken	0.0745942
"Kristie Boogert"	0.0739646
"John Van Lottum"	0.0739227
"blue devil"	0.0738991
"Tar Heels"	0.0738578
"Red Star Belgrade"	0.0737534
Charlton	0.0736961
"Horned Frogs"	0.0734305
Bordeaux	0.0730633
"Partizan Belgrade"	0.0730308
Bengals	0.0723907
Fulham	0.0721529
Shenhua	0.0719499
"Athletic Bilbao"	0.0718447
Denmark	0.0714546
"Dennis van Scheppingen"	0.0713992
"Chinese Army"	0.0712643
"Gianni Romme"	0.0712243
Sunderland	0.0709552
Independiente	0.0708185
Vicenza	0.070111
"Slavia Prague"	0.0697601
Boca	0.0694807
Lecce	0.0693374
"Leicester City"	0.0692354
Capriati	0.0691688
"Paul Haarhuis"	0.0691645
sabre	0.0686959
"Crystal Palace"	0.0678203
Lapentti	0.0677534
Montpellier	0.067614
"Hilde Gerg"	0.0675938
Steelers	0.067479
"Jacco Eltingh"	0.0672263
wildcat	0.0671632
Sevilla	0.0671275
"Croatia Zagreb"	0.0670783
"Chicago Fire"	0.0668694
"Brenda Schultz-McCarthy"	0.0668637
"Pernilla Wiberg"	0.0668555
"Miami Dolphins"	0.0668543
"Dallas Cowboys"	0.0668144
Norway	0.0667783
Wolfsburg	0.0667677
"Green Bay Packers"	0.0667394
panther	0.0664291
Empoli	0.0664269
"Rintje Ritsma"	0.0663649
"Blackburn Rovers"	0.0663313
"Dallas Stars"	0.0661184
Doohan	0.065918
Kjus	0.0659006
Leverkusen	0.0658169
Aamodt	0.0657495
Celtics	0.0656517
"Coventry City"	0.0655165
"Los Angeles Kings"	0.0652811
"Detroit Red Wings"	0.0652605
Karpov	0.0651179
Hongyuan	0.0646992
"AEK Athens"	0.0644781
Sainz	0.0644686
"San Lorenzo"	0.0643297
Gama	0.064273
"Milwaukee Bucks"	0.064253
Jayhawks	0.0641754
Hoogenband	0.0639214
Ullrich	0.063848
islander	0.0636551
"Crimson Tide"	0.0634715
sixer	0.0633663
Maier	0.0633494
))
("Ajax Amsterdam" (desc 4259.58) (sims
Ajax	0.24429
"Inter Milan"	0.194479
"Real Madrid"	0.189802
"PSV Eindhoven"	0.188649
Olympiakos	0.18674
"AC Milan"	0.17676
"Borussia Dortmund"	0.173918
"Bayern Munich"	0.17264
Feyenoord	0.170757
Galatasaray	0.161777
Juventus	0.158602
"Schalke @@"	0.156121
"FC Porto"	0.1515
Fiorentina	0.151144
Napoli	0.150347
"FC Barcelona"	0.149928
Kaiserslautern	0.149863
"Manchester United"	0.148744
Anderlecht	0.144198
"Dynamo Kiev"	0.143768
"Dennis van Scheppingen"	0.141021
"Gianni Romme"	0.13995
"Kinder Bologna"	0.139938
"Glasgow Rangers"	0.138704
"Jubilo Iwata"	0.138628
"Atletico Madrid"	0.138446
"Shanghai Shenhua"	0.136908
Sampdoria	0.136709
"Olympique Marseille"	0.136133
Benfica	0.135013
Brondby	0.134453
Rosenborg	0.134213
Heerenveen	0.132273
"Boca Juniors"	0.130353
"Sjeng Schalken"	0.130351
"Kristie Boogert"	0.128902
corinthian	0.128899
Liverpool	0.126325
"VfB Stuttgart"	0.125017
"AC Parma"	0.124412
"Dalian Wanda"	0.124252
"John Van Lottum"	0.124211
"Brenda Schultz-McCarthy"	0.123973
"Real Betis"	0.123262
"Red Star"	0.123025
"Richard Krajicek"	0.120872
"Olympiakos Piraeus"	0.120437
Panathinaikos	0.115876
"Rintje Ritsma"	0.115874
Parma	0.115812
"Leeds United"	0.115509
"River Plate"	0.11496
Eindhoven	0.113579
Barcelona	0.113369
Vitesse	0.113357
Independiente	0.113005
"Zoran Primorac"	0.112965
"Miriam Oremans"	0.112012
Besiktas	0.111508
Porto	0.111273
"Jacco Eltingh"	0.111137
"Borussia Moenchengladbach"	0.109818
"Paul Haarhuis"	0.109352
Torino	0.109253
"Colo Colo"	0.109007
Spartak	0.108356
"Aston Villa"	0.106762
"Newcastle United"	0.105115
Palmeiras	0.104193
Hoogenband	0.103854
Udinese	0.103592
Monaco	0.103285
Necaxa	0.10267
Penarol	0.102306
Internazionale	0.10217
"Celta Vigo"	0.101993
Everton	0.100498
"Sichuan Quanxing"	0.0996178
"Guangzhou Apollo"	0.099604
"Sparta Prague"	0.0992393
"Paris St Germain"	0.0987082
Bastia	0.0985413
Gremio	0.0979844
"Velez Sarsfield"	0.0978287
"Chicago Fire"	0.097715
"Nottingham Forest"	0.0975709
Espanyol	0.0972693
Inter	0.0972301
"Bayer Leverkusen"	0.0968261
"Heryanto Arbi"	0.0967132
Chelsea	0.0964715
Gama	0.095412
Utrecht	0.0943542
Tottenham	0.0939115
"Inge de Bruijn"	0.0935738
"Partizan Belgrade"	0.0931727
Zamalek	0.0931281
Piacenza	0.0921111
"Deportivo Coruna"	0.091373
"Werder Bremen"	0.0910746
Lazio	0.0910186
Fenerbahce	0.0905966
"Mia Audina"	0.0905475
"Bayi Rockets"	0.0901212
"Real Sociedad"	0.0897239
"Crystal Palace"	0.0891556
Bayern	0.0887896
Nacional	0.0882866
Flamengo	0.0882276
"Moses Tanui"	0.0880837
"Chinese Army"	0.0872665
"Paul Tergat"	0.0872024
"Tottenham Hotspur"	0.0869887
Nantes	0.0867488
"Michael Von Gruenigen"	0.0867359
"Amy Frazier"	0.0866575
"Sturm Graz"	0.0861879
"Arnaud Di Pasquale"	0.0861569
"Peter Rasmussen"	0.085914
Sevilla	0.0858181
"Blackburn Rovers"	0.0858065
"AEK Athens"	0.0854938
"Guangdong Hongyuan"	0.0854725
"Croatia Zagreb"	0.0849912
Schalke	0.0847691
"Fatuma Roba"	0.0843181
"Thomas Muster"	0.0843057
Celtic	0.0842868
"West Ham"	0.084271
"Stacy Dragila"	0.0842182
Auxerre	0.0839576
"Kong Linghui"	0.0839038
Valencia	0.0835395
"Magdalena Maleeva"	0.0835224
"Svetlana Masterkova"	0.082454
Cagliari	0.0823274
"VfL Wolfsburg"	0.0822855
Obilic	0.0820956
"Roger Federer"	0.0819454
"Ye Zhaoying"	0.0817662
"Deportivo La Coruna"	0.0816247
"Sergi Bruguera"	0.0815838
Empoli	0.0813752
"Rodney Eyles"	0.0813517
"Wang Nan"	0.081036
"Rainer Schuttler"	0.080653
Zelezny	0.0803732
Venezia	0.0803332
"Kim Clijsters"	0.0799423
"Slavia Prague"	0.0797013
Fulham	0.0795713
"Filip Dewulf"	0.0793487
"Spartak Moscow"	0.0792706
"Liu Limin"	0.0790784
"Marc Rosset"	0.0789047
Mallorca	0.0779669
"Jana Novotna"	0.077615
Newcastle	0.0773332
"Ji Xinpeng"	0.0772709
"Garry Kasparov"	0.0772633
"Svetlana Khorkina"	0.0771569
Bologna	0.0770891
"Iva Majoli"	0.0765253
"Arantxa Sanchez-Vicario"	0.0765137
"Maria Butyrskaya"	0.0758845
"Kimiko Date"	0.0756534
"Jan-Ove Waldner"	0.0751635
"Le Jingyi"	0.0751025
"Randy Barnes"	0.0750611
"Gong Zhichao"	0.0750408
"Ivan Pedroso"	0.0750222
"Jansher Khan"	0.0750066
Cruzeiro	0.0747078
"Paola Suarez"	0.0745845
Zaragoza	0.0744981
"D.C. United"	0.0744778
"Camilla Martin"	0.0741794
Middlesbrough	0.0741087
"Samantha Riley"	0.0739051
Arsenal	0.0738715
"Houston Comets"	0.0737318
"Fu Mingxia"	0.0737286
"Felix Mantilla"	0.0736421
"Petr Korda"	0.0734996
"Francisco Clavet"	0.0734781
"Penny Heyns"	0.0734553
"Wayne Ferreira"	0.0734515
"Alexei Yagudin"	0.0733308
Dosedel	0.0733092
"Albert Costa"	0.0732829
"Eddie Cheever"	0.0731575
"Karim Alami"	0.0729714
"Michael Stich"	0.0729196
Bruijn	0.0729021
"Carlos Moya"	0.0728582
"Irina Privalova"	0.072714
"Jinan Taishan"	0.0725491
"Khalid Khannouchi"	0.0724724
"Jonathan Stark"	0.0724656
"Conchita Martinez"	0.0723798
))
(AJC (desc 3899.03) (sims
"Atlanta Journal-Constitution"	0.0954337
COXNET	0.0849747
Post-Intelligencer	0.0801759
Toysmart	0.0680929
Journal-Constitution	0.0680759
Incyte	0.0621622
"Boston Herald"	0.0619647
"talk of the town"	0.060655
"Chicago Tribune"	0.0595475
"Arizona Republic"	0.0594697
"Village Voice"	0.0584588
obit	0.0572888
"Houston Chronicle"	0.056276
"Dayton Daily News"	0.0550073
"San Francisco Examiner"	0.0547878
Enquirer	0.053777
"Los Angeles Daily News"	0.0525186
"Atlanta Constitution"	0.0521768
"Seattle Post-Intelligencer"	0.0520517
"Des Moines Register"	0.0515879
lastest	0.0490009
"Yomiuri Shimbun"	0.0489819
OED	0.0488426
Morningstar	0.0487883
Zogby	0.0485235
"Modern Library"	0.0482271
"Dallas Morning News"	0.0478598
"USA TODAY"	0.0471239
Lexis-Nexis	0.0464611
Harcourt	0.0464088
"National Geographic"	0.0456477
"Daily News"	0.0456444
"Boston Globe"	0.045469
newsgroup	0.0454662
Zagat	0.0449214
ESPN.com	0.0449199
"Asahi Shimbun"	0.0448375
"TV guide"	0.044648
NTRA	0.0445004
"Wall Street Journal"	0.0434477
"Detroit News"	0.0432989
"Free Press"	0.0432756
Stinson	0.0432554
"Weather Channel"	0.0432525
"Washington Post"	0.0432025
DMA	0.0431796
"first @@@"	0.0426676
"Cox Newspapers"	0.0415375
"Business Week"	0.0413222
"Denver Post"	0.0412587
Kensington	0.0412452
Brunner	0.0409949
Inktomi	0.0409705
"National Thoroughbred Racing Association"	0.0406026
"Los Angeles Times"	0.0405235
"Kansas City Star"	0.0404442
"Seattle Times"	0.0404191
"frequently asked question"	0.0403032
))
(AK-@@ (desc 1999.71) (sims
M-@@	0.207745
M@@	0.177898
"submachine gun"	0.169306
Uzi	0.161163
"automatic rifle"	0.161112
carbine	0.15865
"machine gun"	0.134776
revolver	0.129735
shotgun	0.119323
"sawed-off shotgun"	0.113468
browning	0.113436
rifle	0.113145
T-@@	0.102456
machine-guns	0.101591
"heavy weapon"	0.100956
launcher	0.0884805
machete	0.0883418
handgun	0.0874173
pistol	0.0836034
"high explosive"	0.0830239
flamethrower	0.08175
Magnum	0.0807106
calibre	0.0797167
"chain saw"	0.0778796
spear	0.071791
"UNIX operating system"	0.0709196
mortar	0.0703183
repeater	0.0687484
Grenade	0.0674821
caliber	0.0671869
"hand grenade"	0.0667385
"rocket launcher"	0.0665986
bazooka	0.0656525
"plastic explosive"	0.0652176
tranquilizer	0.064205
"evening bag"	0.0635458
bayonet	0.0634486
truncheon	0.0628609
"poison gas"	0.0625969
musket	0.0621834
"army tank"	0.0621169
"ammonium nitrate"	0.0614067
nightstick	0.060784
ax	0.0603418
artillery	0.060296
harpoon	0.060012
"fishing rod"	0.0596218
"tear gas"	0.059521
"book bag"	0.0585763
RealPlayer	0.057956
cartridge	0.0575852
"walking stick"	0.0572261
"baseball bat"	0.0566492
cudgel	0.0566026
"hockey stick"	0.0562675
pellet	0.05584
"air filter"	0.0553771
silencer	0.0552495
cannon	0.0547211
binocular	0.054569
chainsaw	0.0536056
paintbrush	0.0535585
walkie-talkie	0.0534803
"bulletproof vest"	0.0530886
baton	0.0527251
abacus	0.0521349
bullhorn	0.051344
"electrical device"	0.0509127
Kleenex	0.0506461
"artificial heart"	0.049979
camcorder	0.0496432
"Y chromosome"	0.0496326
"bank card"	0.0496222
Remington	0.0488403
armful	0.0485295
Beretta	0.0479584
tracer	0.0478547
machineguns	0.0477031
IE	0.0475993
Tomahawk	0.047226
chopstick	0.0469704
enema	0.0456914
clipboard	0.0454955
Qigong	0.0450739
Athlon	0.0450639
crowbar	0.045004
crossbow	0.0449698
howitzer	0.0449669
dynamite	0.0444596
"adult male"	0.044249
Solaris	0.0440267
"tennis racket"	0.0439666
"Ideal Husband"	0.0429615
munition	0.0427361
"Joe Camel"	0.0427141
M@	0.0426008
"explosive device"	0.0423298
"order form"	0.0420496
rusting	0.0420112
"Netscape Navigator"	0.0415993
"sulfuric acid"	0.0411807
pronoun	0.0410647
"surface-to-air missile"	0.0408354
orthodontist	0.040703
"mustard gas"	0.0406215
"electric current"	0.0405709
megaphone	0.0404981
"personnel carrier"	0.0402066
bomblets	0.0401061
))
(aka (desc 3028.59) (sims
rapper	0.0470144
Fantasia/@@@@	0.0418902
))
(Akamai (desc 3579.48) (sims
CMGI	0.157029
Inktomi	0.148367
EMC	0.143867
ExciteAtHome	0.138966
TELLABS	0.136519
"Red Hat"	0.124479
DoubleClick	0.124297
Healtheon	0.123616
"Learning Co."	0.122525
ALZA	0.120237
Checkfree	0.119368
XYLAN	0.11884
Symantec	0.118111
Nextel	0.117364
Softbank	0.1171
Nortel	0.115419
TYCO	0.115296
Healtheon/WebMD	0.114863
Corel	0.114644
Qualcomm	0.113936
Intuit	0.113646
"Con Ed"	0.112465
IDT	0.11242
Genentech	0.112355
RealNetworks	0.112296
sandpiper	0.111696
McKesson	0.111528
Providian	0.111273
Broadcom	0.111077
Lycos	0.108787
Schwab	0.108613
Cabletron	0.108606
HBOC	0.108336
RCN	0.10833
RJR	0.108029
"Ask Jeeves"	0.107947
Gilead	0.10754
Seagate	0.107204
ATHOME	0.107168
"Pacific Century"	0.106151
MiniMed	0.106141
E-LOAN	0.106023
Emulex	0.105679
CNET	0.105403
MindSpring	0.104779
Webvan	0.103984
"Computer Associates"	0.103881
GTE	0.103688
SBC	0.102858
Broadcast.com	0.102823
Berkshire	0.102257
Ciena	0.102192
NetZero	0.101856
oracle	0.101774
Infoseek	0.101667
"HBO &AMP; Co."	0.101411
Priceline	0.100855
REIT	0.100657
Novell	0.100643
Northpoint	0.100599
TCI	0.100466
Enron	0.099896
Echostar	0.0996706
"MCI WorldCom"	0.0994203
Cisco	0.0986905
Autodesk	0.0983081
Alltel	0.0979764
Qwest	0.0977877
"Cox Communications"	0.0976823
Sycamore	0.0975233
WPP	0.0971368
AIG	0.0967277
ENTERGY	0.0964645
WebMD	0.0960438
VENATOR	0.0957366
"JDS Uniphase"	0.0955038
Delphi	0.0948992
Amgen	0.0947833
EarthLink	0.0946302
Livent	0.0943749
Alcatel	0.0938773
PLDT	0.0937695
HP	0.092787
CDnow	0.0924569
Ericsson	0.0920956
Petrofina	0.0920025
Sepracor	0.0918642
Gymboree	0.0917556
Starwood	0.0917127
Amazon	0.0911274
"Global Crossing"	0.0909975
Zeneca	0.0905942
Sunbeam	0.0905648
GeoCities	0.0905419
Unicom	0.0903275
"U.S. Trust"	0.0902033
Comcast	0.0899722
Biogen	0.0898364
Compaq	0.089762
iVillage	0.0896484
Mattel	0.0896311
"P&AMP;G"	0.0893269
"Niagara Mohawk"	0.0893013
PEOPLESOFT	0.0892266
Cendant	0.0890678
Monsanto	0.0888572
Litton	0.0884602
Scientific-Atlanta	0.0884432
SmithKline	0.088396
BellSouth	0.0883527
"Southern Co."	0.088347
Airtouch	0.0879625
Stratus	0.0875226
Broderbund	0.0873874
Vodafone	0.0871565
E-Trade	0.0868578
"Rite Aid"	0.0867716
VoiceStream	0.0864606
BOC	0.0861898
Honeywell	0.0861395
UAL	0.0860985
Fedex	0.0858658
Primedia	0.0858574
Mediaone	0.085769
"Sara Lee"	0.0854943
"Bausch &AMP; Lomb"	0.0854175
eToys	0.0853951
Raytheon	0.085272
Yahoo	0.0852246
ETrade	0.0849114
"Advanced Micro"	0.0848333
"Boston Scientific"	0.0847915
ENTREMED	0.0847165
"EMC Corp."	0.0845104
"Network Associates"	0.0844494
Gazprom	0.0843303
AMR	0.084098
Halliburton	0.0840847
Weyerhaeuser	0.0839534
"Dell Computer Corp."	0.0837975
"BP Amoco"	0.0837293
Embraer	0.0836927
Cerent	0.0836174
Cadbury	0.083607
"Johnson &AMP; Johnson"	0.0831605
"Real Networks"	0.0830627
Chiron	0.0829413
Railtrack	0.0828467
"Liberty Media"	0.0828237
Alcoa	0.0828119
Iridium	0.0822674
AOL	0.0822556
Norwest	0.0821933
SDL	0.0821351
Gillette	0.082074
NTL	0.0819212
NORTHROP	0.0818339
"Cisco Systems"	0.0817689
Medtronic	0.0817109
Cablevision	0.0816933
WorldCom	0.0813139
Hancock	0.0811614
"News Corp."	0.0811206
Georgia-Pacific	0.0809681
Amway	0.0809364
TRW	0.0808495
Overnite	0.0807305
All-Tech	0.0805536
"Cisco Systems Inc."	0.0805037
Google	0.0803664
Schlumberger	0.0800773
Polaroid	0.079965
SGI	0.079865
Nikko	0.0798018
AltaVista	0.079528
Viacom	0.0794469
AutoNation	0.0793491
Unilever	0.0789234
Safeway	0.0788751
AGL	0.0788528
"KCP&AMP;L"	0.0788222
Vivendi	0.0787037
Tenneco	0.0786867
Terra	0.0786542
ARCO	0.0786012
Priceline.com	0.0785556
"China Unicom"	0.0783415
COLTEC	0.0782469
Fingerhut	0.0779494
SAA	0.0778663
Danka	0.077742
MP@.com	0.0774883
Asda	0.0772895
Telstra	0.0771915
"Park Place"	0.0770058
Motorola	0.0769233
"U S West"	0.0768697
DoCoMo	0.076863
Conseco	0.0767427
"Bell Atlantic"	0.0766029
))
(Akayesu (desc 1290.36) (sims
Priebke	0.217145
Barrionuevo	0.204627
Manbar	0.18141
Kambanda	0.176003
Sebaggala	0.171689
Fortier	0.168461
Papon	0.165421
Lacresha	0.165136
"Russell Peeler"	0.16193
Hofer	0.153254
LeFave	0.151425
Blackthorne	0.151256
Symington	0.149487
Markhasev	0.149223
Echegaray	0.140947
McVeigh	0.140285
Noriega	0.140142
Ntakirutimana	0.138021
Deri	0.135619
Laudor	0.134051
Berenson	0.132986
Mease	0.124741
"Jack Kevorkian"	0.124617
Gauthe	0.123573
McDuff	0.123103
Siripongs	0.122145
Hazelwood	0.120726
Shipman	0.11933
Jelisic	0.118677
Shulman	0.118469
Schmitz	0.117485
Faulder	0.116959
Agca	0.116147
Gutman	0.116138
Capano	0.115999
Hsia	0.115802
Trantino	0.115261
Karbaschi	0.115117
"Timothy McVeigh"	0.114579
Limon	0.113385
Beckwith	0.112693
Whitacre	0.112173
Soliah	0.111717
Jett	0.109712
"Raul Salinas"	0.109656
Livoti	0.109471
Swango	0.109155
Haouari	0.107728
Kimes	0.107375
Einhorn	0.107272
Robison	0.107201
Imelda	0.107046
Mehmet	0.106775
"Louise Woodward"	0.103898
Zamora	0.103874
"Dinko Sakic"	0.103304
Neulander	0.102744
Gotti	0.102435
"Maturino Resendiz"	0.102314
Kimeses	0.101705
"El Hage"	0.101068
Hirschfeld	0.0994112
Sheinbein	0.0986303
Abernathy	0.0983107
Coolio	0.0981559
"Angel Maturino Resendiz"	0.0979608
Garza	0.0979176
Bowers	0.0976345
Schweitzer	0.097454
Hallinan	0.0974064
Schwarz	0.0970856
Cheng	0.0967901
"Terry Nichols"	0.0961268
Keating	0.0949833
peeler	0.0948368
Fagan	0.094662
Nikitin	0.0943049
Trie	0.0940923
Boesak	0.0933623
Cheung	0.0931534
KEVORKIAN	0.0930111
Tarver	0.0924465
Berlusconi	0.0919748
Ntuyahaga	0.0917889
Krstic	0.0915668
McIntosh	0.0913999
Lileikis	0.0913423
Mitnick	0.0912884
Espy	0.0904345
Kaczynski	0.0904096
Giacchetto	0.0901643
Gravano	0.0892788
Craxi	0.0877715
Salemme	0.0875642
SJC	0.0875549
McKinney	0.0871546
Martorano	0.0868088
Eappens	0.0865889
McGinn	0.0865476
leeson	0.0863104
Stayner	0.0860515
Bly	0.0858454
guardsmen	0.0855322
Abu-Jamal	0.0853234
Baumhammers	0.0851931
Carneal	0.0848479
"John William King"	0.0847849
Cisneros	0.0843793
Grossberg	0.0842292
singleton	0.0839081
Vasquez	0.0839052
Francois	0.0838078
Schaffer	0.0837947
Bakaly	0.0837364
Espinoza	0.083612
"Imelda Marcos"	0.0831849
Maharaj	0.0825601
"Martin Frankel"	0.0824742
Ng	0.0823298
"Marianne Gingrich"	0.0823056
Carruth	0.0818818
Meskini	0.0814703
Giordano	0.081361
Kovacevic	0.0813411
Hage	0.0812983
Edelstein	0.0810315
Holloway	0.0807682
Karr	0.0804529
Goldsmith	0.0802964
McDougals	0.0802345
McDougal	0.0802127
chun	0.080122
Maddox	0.0799881
Rideau	0.079857
Pirro	0.0793697
Nathaniel	0.0793409
Fabius	0.0790214
Sheppard	0.0789425
Cepeda	0.0787844
Shayler	0.0786653
Faget	0.0782234
Lindland	0.07815
Vance	0.0780396
Nichols	0.0774824
Kalejs	0.0771365
"Yigal Amir"	0.0769068
Cubas	0.0765463
Beathard	0.0765277
Palczynski	0.0762802
Kurtz	0.0761375
"Edwin Edwards"	0.0761344
Cao	0.0760001
Raul	0.0758618
Valenzuela	0.0756892
Stearns	0.075252
Hamid	0.0751111
"David Graham"	0.0748661
Khalil	0.073775
Druckenmiller	0.0735686
Salinas	0.0735627
Lamberth	0.0734186
Levesque	0.0733909
Dokmanovic	0.0733612
Mladic	0.0733077
Qin	0.0728582
Mikhailov	0.0724818
Marcos	0.0724348
Dodik	0.0722637
"intelligence analyst"	0.0722304
Ershad	0.0722113
Lundy	0.0720212
Kodikian	0.0719892
Demjanjuk	0.0718905
Oviedo	0.0716269
"Le Pen"	0.0716114
"Bill King"	0.0716046
Merlino	0.0716029
Piggie	0.0715491
al-Megrahi	0.0712676
Kiareldeen	0.0712379
Sakic	0.0710847
"Richard Ashby"	0.0708886
"Iranian Jews"	0.0707848
Bhutto	0.070623
Hoffmann	0.0706042
Sweeting	0.0703099
Cruz	0.0703059
"Aryeh Deri"	0.070255
Skakel	0.0701741
"Susan McDougal"	0.0700943
Pollard	0.0698452
Kenna	0.0694922
Imperatori	0.0691525
Sato	0.0690924
Mendez	0.0690094
Duran	0.0688864
McDermott	0.0688766
Woodward	0.0688396
Sacco	0.0686783
Napolitano	0.0684498
))
(Akayev (desc 1061.71) (sims
Stoyanov	0.309773
Rifkind	0.299251
Velayati	0.296227
Phieu	0.291084
Nazarbayev	0.282969
Karimov	0.279302
Niyazov	0.276529
Guterres	0.26887
Lipponen	0.262015
Abdel-Meguid	0.256353
Nujoma	0.25483
Diouf	0.25463
Muluzi	0.245362
Scalfaro	0.24327
"de Charette"	0.242925
Jayakumar	0.24138
Pangalos	0.238759
Granic	0.235999
Kasoulides	0.234612
Klestil	0.23161
Moratinos	0.228628
Zou	0.223412
Ikimi	0.223138
Azad	0.222841
Chissano	0.220691
Luong	0.220659
Komura	0.220637
Constantinescu	0.216077
Mkapa	0.215984
Hrawi	0.215848
Wolfensohn	0.213347
Demirel	0.211222
Ikeda	0.210258
Pustovoitenko	0.210079
Meguid	0.20994
Ruehe	0.208839
Klima	0.205744
Santer	0.204626
Rodionov	0.204092
Sumaye	0.203573
Rakhmonov	0.20333
Axworthy	0.203225
Leghari	0.202429
Saleh	0.200991
Kok	0.200547
Stroyev	0.199921
Vasile	0.198565
Narayanan	0.196028
"Maung Aye"	0.193341
Ciampi	0.193183
Kostov	0.193028
Juncker	0.192722
Kuchma	0.192708
Vedrine	0.192506
Muoi	0.192321
Boueiz	0.191884
Jovanovic	0.191635
Chavalit	0.191479
Deuba	0.190013
Surin	0.188693
Nzo	0.187827
Kabariti	0.186668
Shevardnadze	0.18651
Cem	0.185421
Kwasniewski	0.18353
Modise	0.182531
Aliyev	0.181817
Dini	0.181492
Pickering	0.181234
Orban	0.181233
Alatas	0.180602
Kharrazi	0.178882
Kono	0.17782
Khai	0.175484
Singson	0.174511
Lukashenko	0.172193
Ganzouri	0.170164
"Lee Hsien Loong"	0.169994
Scharping	0.169784
Bizimungu	0.169016
Shareh	0.168865
Banharn	0.168702
Koirala	0.167795
Qiao	0.167452
Goh	0.167242
Zuma	0.167189
"Dos Santos"	0.166837
Tsang	0.166749
Brittan	0.166087
Waigel	0.166028
Museveni	0.165968
Vollebaek	0.165464
Gujral	0.165372
Prueher	0.16528
Herzog	0.164956
Menem	0.164546
Kumaratunga	0.164383
Meles	0.164325
Khaddam	0.164002
Tian	0.163877
Siazon	0.163134
Ahtisaari	0.16293
Alarcon	0.162446
Ghali	0.162064
Dehaene	0.161523
Zeroual	0.160548
Zeng	0.159666
Sampaio	0.159192
Persson	0.159135
Juppe	0.158732
Hasina	0.158321
"Prime Minister Banharn Silpa-Archa"	0.158089
Samper	0.158001
Holl	0.15797
Ogata	0.157475
Rawlings	0.157111
"Kim Yong Nam"	0.156493
"Goran Persson"	0.156414
Majali	0.156405
Zhirinovsky	0.155484
Masire	0.154963
Buzek	0.15434
Tarrin	0.154146
Brahimi	0.154065
Camdessus	0.152309
Frei	0.151632
Gowda	0.151356
Boutros-Ghali	0.150672
Sergeyev	0.150346
Berri	0.149728
Fernandes	0.148256
Gurirab	0.146492
Bedie	0.146023
"Than Shwe"	0.145496
al-Sahaf	0.14541
Jia	0.145369
Rong	0.145151
Brundtland	0.144879
Luo	0.144597
"De Soto"	0.144483
Chiluba	0.142612
Xiong	0.142301
Downer	0.13994
"Chea Sim"	0.139935
Clerides	0.139851
Rabbani	0.139768
"Defense William Cohen"	0.139372
Kinkel	0.139083
Papandreou	0.138793
Moussa	0.138786
Malan	0.138371
Conte	0.138114
Bellamy	0.137046
Aznar	0.135922
Tarawneh	0.135344
"Speaker Ali Akbar Nateq-Nouri"	0.135173
"Secretary General Esmat Abdel-Meguid"	0.13399
Shipley	0.133937
Severino	0.133316
Xanana	0.133304
Kato	0.133036
Solana	0.132941
Nateq-Nouri	0.132606
Bashir	0.132468
Advani	0.132379
Hamad	0.132258
Insulza	0.132054
Ivanov	0.131907
Rafsanjani	0.1317
Bongo	0.131168
"Pope John Paul"	0.131149
Rau	0.130841
Aventajado	0.130597
Chuan	0.130436
Chretien	0.130192
Tudjman	0.130065
Gaddafi	0.129658
"Khin Nyunt"	0.129515
Portillo	0.128932
Qian	0.128891
Cardoso	0.128889
Baz	0.128653
Bouteflika	0.127947
Iliescu	0.12778
Manley	0.127659
Chirac	0.127557
Nemtsov	0.126991
Fino	0.126744
wen	0.126642
Tung	0.126159
Shaath	0.126072
Obasanjo	0.125973
Mbeki	0.125903
Hu	0.125396
Patasse	0.125068
Harmoko	0.124937
Lahoud	0.124489
"Chuan Leekpai"	0.124244
Koo	0.123947
Bruton	0.123944
Erbakan	0.123442
Grachev	0.122917
"King Sihanouk"	0.122505
Ecevit	0.122334
"Phan Van Khai"	0.122006
Iglesias	0.121954
Kyprianou	0.121701
Hashimoto	0.121498
Talbott	0.121288
Moi	0.121244
Jospin	0.120986
"Chavalit Yongchaiyudh"	0.120968
Ahern	0.12081
Ben-Ami	0.12072
Hariri	0.120372
Soares	0.120322
al-Khatib	0.119621
Seleznyov	0.119085
Thapa	0.118292
Nasrallah	0.118255
Chi	0.118149
Zhu	0.118052
Buyoya	0.117618
LeBlanc	0.117601
Hoss	0.117343
Malu	0.117182
Khamenei	0.116879
Juma	0.116828
Indyk	0.116786
"Antonio Guterres"	0.116473
"Jacques Santer"	0.116441
"Secretary General Esmat Abdul-Meguid"	0.116385
Aleman	0.115906
Simitis	0.115852
Fu	0.115403
Izetbegovic	0.11534
"William S. Cohen"	0.115298
Obeid	0.114884
Aziz	0.114664
Rawabdeh	0.114625
Garang	0.114462
Schuessel	0.113982
Blatter	0.113979
Wei	0.113491
Havel	0.11331
Amour	0.113073
Zedillo	0.112596
Erwin	0.112356
"Meles Zenawi"	0.112164
Weizman	0.111436
Shi	0.111281
"Abidine Ben Ali"	0.11116
Estrada	0.111112
Aliev	0.111002
Denktash	0.110903
"Frederick Sumaye"	0.110758
Rua	0.110677
Yilmaz	0.110649
Majko	0.110647
el-Ganzouri	0.110421
Leung	0.110261
Salim	0.110214
Lari	0.109956
"Secretary-General Boutros Boutros-Ghali"	0.109926
al-Sahhaf	0.109737
Yastrzhembsky	0.109548
Tella	0.109352
Al-Faisal	0.108736
Sharaa	0.108643
Yazdi	0.107966
Murayama	0.107728
Koehler	0.107725
Benazir	0.107708
"King Birendra"	0.107618
Ekeus	0.107497
Abubakar	0.107186
Bolger	0.107095
"Bill Skate"	0.106979
Hanley	0.106867
"De Klerk"	0.106776
"Necmettin Erbakan"	0.10661
Mubarak	0.10649
Daley	0.106441
Barzani	0.106347
al-Bashir	0.10628
"Li Peng"	0.106274
Fischer	0.106164
Nebiolo	0.106049
"Ryutaro Hashimoto"	0.105654
Husseini	0.105496
Krajisnik	0.104861
Arbour	0.104765
Ramos	0.104699
Jiang	0.104643
Wahid	0.104528
Maskhadov	0.104161
Sihanouk	0.104026
Bulatovic	0.104006
Ong	0.103679
"Krishna Prasad Bhattarai"	0.103454
Zarb	0.103116
millon	0.102814
Bucaram	0.102497
Mugabe	0.102404
Kim	0.10208
Rasmussen	0.10177
Ciller	0.101577
"King Abdullah II"	0.10143
"Romano Prodi"	0.101358
Berisha	0.101128
Abbas	0.100618
Prodi	0.100391
"Li Ruihuan"	0.100311
"Robert Aventajado"	0.10013
Kissinger	0.100021
))
(Akbar (desc 2086.95) (sims
Seleznyov	0.156842
Ekeus	0.141487
Lari	0.141075
Ciampi	0.14034
Velayati	0.137962
Salam	0.136073
Bulatovic	0.130525
Ruehe	0.128884
Majko	0.127406
Zuma	0.127101
Yastrzhembsky	0.123751
Rifkind	0.122823
Aventajado	0.121533
Havelange	0.12103
Tarawneh	0.120731
Dodik	0.115789
Nasrallah	0.11334
Tsang	0.111048
Harmoko	0.109315
Kasoulides	0.109168
Vasile	0.108512
Malu	0.108068
Stoyanov	0.107332
Sowetan	0.107317
"de Charette"	0.107013
Rodionov	0.106569
Moratinos	0.106119
"El Mundo"	0.104727
Severino	0.104638
Alatas	0.104497
McGuinness	0.103784
Rafsanjani	0.103254
Kajiyama	0.102968
Flanagan	0.102472
Klima	0.101036
Wilhelm	0.100985
Hurriyet	0.100368
Katsav	0.10026
al-Hayat	0.0998219
Singson	0.0995973
"Iran News"	0.0986318
Fernandes	0.097952
Masire	0.0977549
Maariv	0.0969132
Jayakumar	0.0968186
Advani	0.0962548
Napolitano	0.0959169
Reimer	0.0958437
Zarb	0.095838
Abdel-Meguid	0.0956783
Maslyukov	0.0954588
Kasyanov	0.0951959
Iger	0.0943852
Rau	0.0941032
Baird	0.0940038
Kono	0.0936974
Koehler	0.0933975
"Koha Ditore"	0.0933123
Aoki	0.0933004
Bao	0.0925563
Siazon	0.0924856
Blatter	0.0924564
Soares	0.0923586
Koirala	0.0923478
Buthelezi	0.091816
Yadav	0.0917076
Rais	0.0916382
Cem	0.0914388
Azizah	0.0912345
Boueiz	0.0909426
Shaath	0.0907819
Sergeyev	0.0901455
Chubais	0.0899201
Iliescu	0.0894176
Scharping	0.0892487
Eizenstat	0.0890665
Wolfensohn	0.0889218
"Tehran Times"	0.0889016
"Mikhail Kasyanov"	0.088759
"Business Day"	0.0885524
Blazevic	0.0883124
Wolfson	0.0879712
Kyprianou	0.0878093
Chavalit	0.0875273
Stepashin	0.0873378
Nzo	0.0872808
NCEC	0.0871889
Schaeuble	0.0871375
Diouf	0.0870737
Hamid	0.0869054
Nujoma	0.0868365
Inquirer	0.0864483
Fraga	0.0863401
Bonner	0.0863203
Bhattarai	0.0861409
Demaci	0.0860259
Nateq-Nouri	0.0859009
Izetbegovic	0.0858343
Zeroual	0.085807
Abram	0.0857025
Husseini	0.0856712
Boutros-Ghali	0.0855512
Cooley	0.0853968
Ghali	0.0852193
Shareh	0.0850581
Stroyev	0.084738
Krajisnik	0.0844001
Burleigh	0.0842769
Antara	0.0842015
McCurry	0.0841422
Supachai	0.0839453
Brundtland	0.0838813
Slatkin	0.0837811
Berri	0.0835085
"Nihon Keizai Shimbun"	0.0827747
Xanana	0.0827364
"Bill Lann Lee"	0.0827219
Houghton	0.082526
Noticias	0.082313
Alarcon	0.0822829
Karimov	0.0821351
Malan	0.0818518
Rawabdeh	0.0817538
Chissano	0.0817501
Komura	0.0817364
BS	0.0815991
"Yediot Ahronot"	0.0815688
Hagel	0.0814988
Bizimungu	0.0812643
Granma	0.0811008
Al-Ahram	0.0810877
Sahnoun	0.0809797
Megawati	0.0808308
Prueher	0.0806435
Maharaj	0.0805974
"El Pais"	0.0805774
Narayanan	0.0804202
Thapa	0.0803488
Mikhailov	0.0803274
Kwasniewski	0.0802437
Azad	0.080206
Kommersant	0.0801405
Juppe	0.0800725
Arens	0.079857
Rashid	0.0798325
"Alam Al Yom"	0.079521
Shipley	0.07943
Hoss	0.0793884
Sumaye	0.0793533
"Agence France Presse"	0.079081
Tevanian	0.0789398
Shevardnadze	0.0788477
Constantinescu	0.0787654
Wahid	0.0787251
Guterres	0.0783737
"Amos Wako"	0.0782959
Brittan	0.0781684
Koch-Weser	0.0781624
Ota	0.0780776
Kinkel	0.0780609
Meles	0.0779015
Kabariti	0.0778774
Holl	0.0776813
Saleh	0.0776466
Farrakhan	0.0774899
McGreevey	0.0774861
Beazley	0.0773676
"Israeli Foreign Ministry"	0.0769505
Zadornov	0.0769129
Juma	0.0768701
"Khaleej Times"	0.0767814
"Ung Huot"	0.0767478
Merkel	0.0765619
Duisenberg	0.0764463
Patten	0.0763782
Musa	0.0763287
Grasso	0.0763167
L'Equipe	0.0761042
Izvestia	0.076102
Kagame	0.0760926
Bedie	0.0759512
Salim	0.075726
Okada	0.0756929
"Vietnam News"	0.0756896
Milo	0.0756039
Tarrin	0.0755587
Villar	0.0754369
Modise	0.0754157
Nouri	0.0752959
Djukanovic	0.0752603
Amato	0.0751976
Orban	0.0750571
"Lee Hsien Loong"	0.0750206
Ashrawi	0.0749945
Suarez	0.0748893
Ikimi	0.074839
Goff	0.0748189
Bambang	0.0748048
Manley	0.074758
Yavlinsky	0.0745972
))
(Akebono (desc 1844.63) (sims
Wakanohana	0.435932
Takanohana	0.421836
Takanonami	0.244093
Musashimaru	0.229763
Yokozuna	0.116521
"Hilde Gerg"	0.0930894
"Michael Von Gruenigen"	0.0829817
"Rashid Sidek"	0.0756891
"Johan Museeuw"	0.0752963
"Pernilla Wiberg"	0.0747817
"Maria Mutola"	0.0742651
"Christine Arron"	0.0720366
"Paul Tergat"	0.0715454
"Wang Yifu"	0.0707312
"Anatoly Karpov"	0.0703592
"Kjetil Andre Aamodt"	0.0701432
"Liu Xuan"	0.0695115
"Fatuma Roba"	0.069342
"Li Jiajun"	0.0687618
Sautin	0.0686586
sable	0.0681601
"HANK KUEHNE"	0.0681567
"Koji Ito"	0.0681549
"Deborah Compagnoni"	0.0669241
"Anita Wachter"	0.06689
Villeneuve	0.0655378
"Sergi Bruguera"	0.0652662
"Garry Kasparov"	0.0648987
"Favorite Trick"	0.0646398
"Kieren Perkins"	0.0646322
maegashira	0.0642553
"Svetlana Khorkina"	0.0637523
"Roy Jones Jr."	0.0634703
"Rodney Eyles"	0.0634036
"Roger Federer"	0.0630362
"Ivan Ivankov"	0.0629413
"Alexei Yagudin"	0.0623213
"Claudia Poll"	0.0621339
"Seibu Lions"	0.0621036
"Penny Heyns"	0.0620922
"Amy van Dyken"	0.0616369
"Martin Schmitt"	0.0614738
"Jacques Villeneuve"	0.0612287
"Damon Hill"	0.0608646
"Elvis Stojko"	0.0607933
"Yokohama Baystars"	0.060767
"Alex Zanardi"	0.0605603
"Liu Limin"	0.0605474
"Kristen Maloney"	0.0604663
"Doug Walker"	0.0602194
"Tommi Makinen"	0.059669
Tanui	0.0596626
"Kenny Brack"	0.0595576
Sanchez-Vicario	0.0595187
"Carlos Hermosillo"	0.059315
"Chen Lu"	0.0592863
Devers	0.0592277
"Daniel Komen"	0.0589773
"Blaine Wilson"	0.058726
"Mariano Zabaleta"	0.0587236
"Khalid Khannouchi"	0.0586144
"Paulie Ayala"	0.0585479
"Susie O'Neill"	0.0585424
"Alexander Popov"	0.0584038
"Guo Jingjing"	0.0582952
"Horned Frogs"	0.0582529
"Max Biaggi"	0.058179
"El Guerrouj"	0.0578503
"Kostya Tszyu"	0.0575249
Doohan	0.0574514
"Pavel Tonkov"	0.057246
"Seattle Slew"	0.0570107
"Poul-Erik Hoyer-Larsen"	0.0566759
"Xia Xuanze"	0.0565853
"Stacy Dragila"	0.0564621
"Huang Xu"	0.0562456
Vasser	0.0562431
"Maria Butyrskaya"	0.0561956
"Samantha Riley"	0.0561552
"MIka Hakkinen"	0.0561064
Zanardi	0.0560364
fencer	0.0558367
"Ji Xinpeng"	0.0557209
Kjus	0.0556247
"Fu Mingxia"	0.0554751
Recker	0.0553157
"Thomas Stangassinger"	0.0552698
"Chicago Fire"	0.0552645
"Bruny Surin"	0.055181
"Inger Miller"	0.0550929
"Shanghai Shenhua"	0.0549863
"Alberto Tomba"	0.054892
Khorkina	0.0542038
Geiger	0.0541443
"Svetlana Masterkova"	0.0540734
"Lasse Kjus"	0.0538692
"Dan O'Brien"	0.0536679
Seizinger	0.053627
Roba	0.0536231
"Heryanto Arbi"	0.0535259
"Deon Hemmings"	0.0534289
"Miguel Indurain"	0.0533939
Majoli	0.0530245
"Dottie Pepper"	0.052986
"John Godina"	0.0529059
"Sarah Hughes"	0.0528687
"Frank Bruno"	0.0527495
"Fernando Vargas"	0.0525882
"Cathy Freeman"	0.0525075
"Juan Montoya"	0.0524814
"Marie-Jose Perec"	0.0524292
"Marco Pantani"	0.0524042
Klim	0.0523949
"Red Star"	0.0523285
"Linford Christie"	0.0522917
Toluca	0.0522367
Popov	0.0520915
Waltrip	0.0520416
"Andreea Raducan"	0.0519769
"Laurent Brochard"	0.0516887
"Pernell Whitaker"	0.0514763
"Sonia O'Sullivan"	0.0513689
Anees	0.0511228
"Terry Labonte"	0.0510647
"Andres Gomez"	0.0509738
"Vanessa Atler"	0.0508869
"Michael Klim"	0.0508167
"Jansher Khan"	0.0507614
"Tom Dolan"	0.0507214
"Alexei Nemov"	0.0505789
"Isolde Kostner"	0.0505412
"Crimson Tide"	0.0503514
"Moses Tanui"	0.0503253
"Julius Francis"	0.0502679
"Briton Greg Rusedski"	0.050253
Recchi	0.050061
Lipinski	0.0500127
Shuwei	0.0500066
"Larry Mize"	0.0499463
Godina	0.0497625
"Abraham Olano"	0.0495399
Nivel	0.0494619
"Adrian Ilie"	0.0494535
Ayatollah	0.0493867
"David Reid"	0.0493371
procrastinator	0.0492891
Bruguera	0.049257
"Tara Lipinski"	0.0492483
"Colin McRae"	0.0492048
Hoya	0.0490598
"Ivan Pedroso"	0.0490254
"Todd Eldredge"	0.0490053
"Darrell Waltrip"	0.0489985
"Xiong Ni"	0.0489955
Nacional	0.0487255
Kaiserslautern	0.048533
Conley	0.0485281
Ullrich	0.0485257
"C.J Hunter"	0.0484682
"Ricky Craven"	0.0483753
Olano	0.0482258
"Michael Weiss"	0.0481998
kayaker	0.0479216
"Dara Torres"	0.0478611
"Ian Thorpe"	0.0477676
Kafelnikov	0.0477638
"Gil Morgan"	0.0477275
"Chris Boardman"	0.0476276
"Michelle Kwan"	0.0475437
Krajicek	0.0475156
"American Todd Martin"	0.0474483
Storr	0.0473373
"second class"	0.0472397
"Richard Krajicek"	0.0472388
"Martina Ertl"	0.0471436
Butyrskaya	0.0471061
"Hristo Stoichkov"	0.0470384
"American Pete Sampras"	0.0470294
"Tian Liang"	0.046799
"Li Xuemei"	0.0467876
Taufik	0.046737
"Donovan Bailey"	0.0467224
Sabonis	0.0466375
"Randy Barnes"	0.0466206
"Shane Mosley"	0.0465806
"Zoran Primorac"	0.0463888
"Peter Gade Christensen"	0.0463001
Bodine	0.0462669
Kuerten	0.0461365
"Yao Ming"	0.0460707
"Allen Johnson"	0.0460551
"Steve Austin"	0.0458871
"Marcelo Filippini"	0.0458426
"Gail Devers"	0.045796
"Li Na"	0.045718
"Johnny Tapia"	0.0456443
"Oliver McCall"	0.0455417
"Irina Slutskaya"	0.045535
Moya	0.0455342
Guthridge	0.0454483
))
(Akers (desc 3682.98) (sims
Milbrett	0.185307
Chastain	0.168722
Foudy	0.150518
"Michelle Akers"	0.148717
FAWCETT	0.145242
Hamm	0.123283
"Kristine Lilly"	0.112395
"Julie Foudy"	0.106937
Hagi	0.0997602
Carbonneau	0.0991053
"Tiffeny Milbrett"	0.0985659
Lilly	0.0948282
Lobo	0.0942736
Guthridge	0.0926469
Nakata	0.09242
"Brandi Chastain"	0.090513
Sasser	0.0895423
Bergkamp	0.0881959
"Del Piero"	0.0881283
Andreychuk	0.0881144
Romario	0.0880042
Baerga	0.0879363
Lieberthal	0.0869642
Harkes	0.0868817
Sissi	0.0862132
Sutton	0.0858162
Najera	0.0853377
Zidane	0.0847833
Zenga	0.0836822
Eizenstat	0.0835799
"Cindy Parlow"	0.0835256
"Hidetoshi Nakata"	0.0826562
Lindros	0.0820241
McInnis	0.0818591
"Mia Hamm"	0.0812568
Samuelsson	0.0809864
Heinrichs	0.08081
Ricci	0.0804451
Atler	0.0794636
Polgar	0.0793362
Laudrup	0.0788896
Mathews	0.078781
Briggs	0.0787313
Scruggs	0.0784612
Cleaves	0.0782358
Batistuta	0.0779228
Fernandez	0.0779131
O'Sullivan	0.0778572
Gascoigne	0.0775802
Faldo	0.0772509
Chilavert	0.0765954
Robson	0.0765787
Baggio	0.0758199
McDonnell	0.0757975
Grunwald	0.0757886
Audette	0.0756834
Drexler	0.0755514
Doherty	0.0754727
Suker	0.0753836
Leetch	0.0748674
Suarez	0.074449
Woodard	0.074394
Fizer	0.0741858
Jair	0.0741432
Huber	0.0739522
Klinsmann	0.0738617
Harbaugh	0.073858
Gorter	0.0738425
Irvan	0.0738304
Okada	0.0738301
Wilkins	0.0736088
Jagr	0.0734736
Sapp	0.0734448
"Kate Sobrero"	0.0732579
Neilson	0.0731648
Liston	0.0730512
Tuggle	0.072922
Savarese	0.0728193
Matthaeus	0.0727309
Julich	0.0723257
Meissner	0.0721037
"Scotty Bowman"	0.0720266
"Ryan Kealy"	0.0720139
Saunders	0.0719451
Robitaille	0.0719418
Gannon	0.0716032
Haas	0.0713265
Medvedev	0.0713239
Ganassi	0.0711294
Marquez	0.0710521
Elam	0.0708619
Garnett	0.070746
Keenan	0.0701578
Horne	0.0697961
Weinke	0.068877
Unser	0.0688188
Michaels	0.0687815
Briscoe	0.0687549
Elliott	0.0686579
Lowry	0.0685106
Knapp	0.0684845
Watson	0.0684347
Alvarez	0.0684084
Sorensen	0.068191
Kournikova	0.0680676
Aikman	0.0680521
Hawkins	0.0679511
Henning	0.0678782
Howe	0.0677747
Reyna	0.0677512
Yount	0.0677247
Zimmer	0.0676931
Bessette	0.0676652
Wilkens	0.0676577
Nailon	0.067339
Keane	0.0672966
Antley	0.0672529
Artest	0.0670814
Barkley	0.067063
Merritt	0.0669704
Dragila	0.0669557
Webb	0.0669416
LeClair	0.0668378
"Gary Brown"	0.0668203
"Van Horn"	0.066534
McMillan	0.0664933
Brazile	0.066493
Majoli	0.0664396
Cai	0.0663927
Cummins	0.0663883
Sanders	0.0663874
Kukoc	0.066358
Pfeiffer	0.066341
DeBerg	0.0662429
Solis	0.0661877
Markovic	0.0661703
Rahal	0.0661208
Fiset	0.0659414
Szczerbiak	0.0659353
Farrell	0.0659066
Simms	0.0658314
Modano	0.0657965
Raines	0.065788
Lemieux	0.0657665
El-Amin	0.0657416
Milutinovic	0.0654792
Cummings	0.0653985
Holdsclaw	0.0653392
Kirkpatrick	0.065233
Elias	0.0651899
Montoya	0.0651757
Kwan	0.065175
Bratton	0.0651677
McKay	0.0651419
Reese	0.0650256
MacInnis	0.0650242
bock	0.0650104
Bryant	0.0649501
Yzerman	0.0647732
Tuinei	0.0647508
Olajuwon	0.0647505
Krone	0.0647287
Campos	0.0646604
Peterson	0.0646394
Bierhoff	0.0646297
Oliveira	0.06458
Fay	0.064461
"R. Jay Soward"	0.0644577
Gillespie	0.0644432
Torres	0.0644147
Chelios	0.0644002
Erving	0.0643575
Vieri	0.0643179
McCormack	0.0642828
Gogel	0.0642797
Gimelstob	0.0642587
O'Donnell	0.0641823
Lafleur	0.0641651
Gagne	0.0640625
Clement	0.0640601
Swoopes	0.0640298
Canseco	0.0639933
Webber	0.0639886
Summitt	0.0639285
Jaffe	0.0637356
Shearer	0.0636456
Mikhailov	0.0636105
Gretzky	0.0635925
Smits	0.063585
Fleury	0.0635742
Asprilla	0.0635178
Ortega	0.0634729
Lopez	0.0634614
Ceballos	0.0633336
Bowman	0.0632957
Frye	0.0632597
Dowd	0.0632437
Ellis	0.0632327
Godfrey	0.0632045
Gatling	0.0631557
))
("Aki Berg" (desc 1900.01) (sims
"Mattias Norstrom"	0.219569
"Matt Johnson"	0.205009
"Stephane Fiset"	0.19704
"Rob Blake"	0.193932
"Sean O'Donnell"	0.189851
"Doug Bodger"	0.189263
"Garry Galley"	0.189139
"Donald Audette"	0.18621
"Glen Murray"	0.179996
"Steve Duchesne"	0.179024
"Vladimir Tsyplakov"	0.147521
"Bryan Berard"	0.147056
"Mathieu Schneider"	0.143887
"Sandis Ozolinsh"	0.140281
"Scott Niedermayer"	0.136249
"ZIGMUND PALFFY"	0.132852
"Vladimir Malakhov"	0.129104
"Lyle Odelein"	0.125337
"Marty McSorley"	0.121854
"Ziggy Palffy"	0.121824
"Jamie Storr"	0.120668
"Jozef Stumpel"	0.119762
"Fredrik Olausson"	0.116031
"Richard Matvichuk"	0.114644
"Chris Pronger"	0.114067
"Paul Coffey"	0.112961
"Jyrki Lumme"	0.112446
"Larry Murphy"	0.109877
"Ulf Samuelsson"	0.105887
"Luc Robitaille"	0.105559
"Bryan Smolinski"	0.102499
"Nicklas Lidstrom"	0.101152
"Ian Laperriere"	0.100833
"Dave Manson"	0.0997206
"Chris Chelios"	0.0986747
"Shawn Chambers"	0.0981752
"Manny Legace"	0.0961226
"Olli Jokinen"	0.0959366
"Kyle McLaren"	0.0957998
"Craig Johnson"	0.0952438
"Al MacInnis"	0.0946573
"Ken Daneyko"	0.0918653
"Nelson Emerson"	0.0911666
Samuelsson	0.0909755
"Darren Van Impe"	0.0902389
"Alexei Zhitnik"	0.0891016
"Teppo Numminen"	0.0890428
Audette	0.0871335
"Ray Ferraro"	0.0870649
"Brian Leetch"	0.0857919
Palffy	0.0846179
"Darryl Sydor"	0.0843336
"Oleg Tverdovsky"	0.0840099
"Stan Collymore"	0.0834261
"Grant Long"	0.0832021
"Keith Primeau"	0.0825679
"Sergei Zubov"	0.0821876
Leetch	0.0820963
"Bob Corkum"	0.0811718
"Vlade Divac"	0.0807106
"Otis Thorpe"	0.0774602
"Don Sweeney"	0.0765031
"Hal Gill"	0.0761044
"Doug Johnson"	0.0759533
"Robert Reichel"	0.0751097
"Scott Stevens"	0.0742416
"Craig Ludwig"	0.0738711
"Quentin Coryatt"	0.0729275
Storr	0.0720909
"Petr Nedved"	0.0718779
Laudrup	0.0705698
"Derian Hatcher"	0.0704473
"Alexei Kovalev"	0.0700536
Baerga	0.0694801
Dilfer	0.0693273
"Joe Kleine"	0.0679651
Smolinski	0.0676845
Recchi	0.0672983
Juninho	0.0659766
"Corliss Williamson"	0.0657825
Wynalda	0.0655854
Reichel	0.0647656
"Trent Green"	0.0640907
"Trent Dilfer"	0.0638718
"Oliver Miller"	0.0629319
"Anson Carter"	0.0618174
"Warren Moon"	0.0616953
"Yao Ming"	0.061685
Grahame	0.0613422
"Clifford Robinson"	0.0609991
"Terry Porter"	0.0605682
Lawler	0.0604991
Spalding	0.060292
Fuhr	0.0602576
"Rob Moore"	0.0598532
"Darrick Martin"	0.0597225
"Derrick Coleman"	0.0594131
Cullen	0.059189
"Neil O'Donnell"	0.0591614
"Byron Dafoe"	0.0588566
"Alan Henderson"	0.0586975
Andreychuk	0.058683
"Nicolas Anelka"	0.0584398
Asprilla	0.0582471
Polgar	0.0581767
"Jamir Miller"	0.0574284
Daigle	0.057118
"Shane Doan"	0.0568214
"Ronnie Bradford"	0.0566081
Grbac	0.0565665
"Jermaine O'Neal"	0.0564141
Legace	0.0559803
"Brent Barry"	0.0559751
Hagi	0.0557898
Bierhoff	0.0554143
Stumpel	0.0552902
"Albert Belle"	0.0549767
"Theo Fleury"	0.0549742
"Ray Bourque"	0.0549738
"Steve Atwater"	0.0548973
"Patrik Stefan"	0.0546993
Suker	0.0546078
flutist	0.0545916
"Derek Harper"	0.0543453
"Ron Francis"	0.0541935
"Vernon Maxwell"	0.0541502
"Mark Stepnoski"	0.0541173
Baggio	0.0539529
Niedermayer	0.0537139
clarinetist	0.0535418
PRONGER	0.0531676
"Pat Meares"	0.052999
Lalas	0.0529842
"Detlef Schrempf"	0.0527802
"John Wallace"	0.0527633
speller	0.0527616
Sabonis	0.0526582
"Dale Hunter"	0.052648
"Charlie Garner"	0.0526236
Duchesne	0.0525948
"Olden Polynice"	0.0523757
"Otis Nixon"	0.0522312
"Elvis Grbac"	0.0521118
"Patrik Elias"	0.0520335
"Chris Crawford"	0.0517269
Griese	0.0517029
Nowitzki	0.0516929
"Andre Wadsworth"	0.0516246
"Aaron Williams"	0.0515096
Sakic	0.0514449
"John Vanbiesbrouck"	0.0513858
"Rodney Rogers"	0.0513499
McDyess	0.051142
Segui	0.0509996
"Scott Mitchell"	0.0507444
"Doug Pederson"	0.0506656
Fedorov	0.050633
Gugliotta	0.0506212
"Eric Piatkowski"	0.0506158
"Ron Mercer"	0.0505961
Nedved	0.0503755
"Theo Ratliff"	0.0501936
"Adam Vinatieri"	0.0500611
"David Trezeguet"	0.0499944
"Gary Trent"	0.0498829
"Isaiah Rider"	0.0498753
Harrick	0.0497734
Sahnoun	0.0494601
Lankford	0.0494272
Briere	0.049258
"Antonio McDyess"	0.0491329
Matthaeus	0.04908
"Steve Smith"	0.0490291
"Tracy McGrady"	0.0487742
Mirer	0.0484012
"Devon White"	0.0480425
"Ricky Watters"	0.0480343
Webber	0.0480293
"Raul Diaz Arce"	0.0479945
Mashburn	0.0479865
Robitaille	0.0479497
Welton	0.0478992
"Pat Verbeek"	0.0478392
"Wang Zhizhi"	0.0478208
Coffey	0.0478154
Starks	0.0477934
Dellucci	0.0477261
"Darrien Gordon"	0.0476913
"Joe Murphy"	0.0476178
Meares	0.0474985
"Claudio Reyna"	0.0474283
CORYATT	0.0474145
"Paul Konerko"	0.0473845
"Maurice Taylor"	0.0473628
"Billy Owens"	0.0473336
"less than four minutes"	0.0473037
"Ron Tugnutt"	0.0472894
"Tito Puente"	0.04726
Neely	0.0471805
Marinovich	0.0471103
))
("Akili Smith" (desc 5804.48) (sims
"Daunte Culpepper"	0.334723
"Donovan McNabb"	0.295828
"Tim Couch"	0.286858
"Cade McNown"	0.252991
"Brock Huard"	0.230076
"Peyton Manning"	0.206692
"Michael Bishop"	0.179795
McNabb	0.169842
"Shaun King"	0.160817
McNown	0.155649
Culpepper	0.152228
"Chris Weinke"	0.14955
"Ryan Leaf"	0.140018
"Edgerrin James"	0.137131
Manning	0.135642
"Jake Plummer"	0.134732
"Brian Griese"	0.125729
"Jeff Garcia"	0.123842
"Ricky Williams"	0.121313
"Chad Pennington"	0.121146
"Glenn Foley"	0.118003
"Jarious Jackson"	0.117205
"Neil O'Donnell"	0.115673
Plummer	0.115137
"Tony Banks"	0.11395
"Bubby Brister"	0.113686
"Trent Green"	0.111189
"Kurt Warner"	0.111012
"Randall Cunningham"	0.110983
Griese	0.110477
"Jeff George"	0.110263
"Rob Johnson"	0.109672
"Tee Martin"	0.109119
"Robert Edwards"	0.107386
"Charlie Batch"	0.106889
"Steve McNair"	0.106836
"Joe Hamilton"	0.105428
"Kent Graham"	0.105353
"Major Applewhite"	0.104003
Druckenmiller	0.103585
"Jamal Lewis"	0.103426
Vick	0.102978
"Joe Montana"	0.102902
Tupa	0.102364
"Andre Wadsworth"	0.101527
"Michael Olowokandi"	0.100275
"Todd Husak"	0.0999115
Huard	0.0998772
"Greg Ellis"	0.0982779
"Jim Druckenmiller"	0.0975948
"Champ Bailey"	0.0975614
"Dan Marino"	0.0971589
"Patrik Stefan"	0.0959718
Abdur-Rahim	0.0948616
Favre	0.0944123
"Troy Aikman"	0.0943635
"Vinny Testaverde"	0.0938375
"Brad Johnson"	0.0930962
"Chris Chandler"	0.0916173
"Doug Flutie"	0.0915513
"Ryan Kealy"	0.0912288
"Elvis Grbac"	0.0911801
"Drew Bledsoe"	0.0897479
couch	0.0896697
"Brett Favre"	0.0888531
"Jason Garrett"	0.0888223
"Chris Simms"	0.088618
"Kerry Collins"	0.088598
"Kevin Faulk"	0.0885253
"Rick Mirer"	0.0883849
"Mark Brunell"	0.0878579
"Danny Kanell"	0.0876255
"Quincy Carter"	0.0876077
"Gus Frerotte"	0.0869931
"Michael Vick"	0.0860206
"Dave Brown"	0.0847522
Harbaugh	0.0846676
Graziani	0.0843977
"Ty Detmer"	0.0835524
"Baron Davis"	0.0835104
Applewhite	0.0834908
"John Avery"	0.0831592
"Pat Burrell"	0.0828718
"Doug Pederson"	0.0822461
"John Elway"	0.0820958
Elway	0.0820109
"L.J Shelton"	0.0819427
"Trent Dilfer"	0.0809467
"Damon Huard"	0.0806752
"Steve Beuerlein"	0.0806128
"Marcus Outzen"	0.0805351
Brees	0.0804589
Holdsclaw	0.0802327
STALEY	0.0801788
"Doug Johnson"	0.0801535
"Drew Bennett"	0.0800581
"Mike Van Raaphorst"	0.0800293
"Ortege Jenkins"	0.0799576
"Paul Justin"	0.0793548
"Jon Kitna"	0.0793341
"Drew Henson"	0.0792901
"Rich Gannon"	0.0791403
"Ebenezer Ekuban"	0.0789953
"Phil Simms"	0.078701
"Keith Brooking"	0.078604
"Jeff Blake"	0.0782682
"Thomas Jones"	0.0778438
"Steve Young"	0.07771
"Bobby Newcombe"	0.0771712
"Ray Lucas"	0.0769931
"Manny Malhotra"	0.0764492
Testaverde	0.0764043
Bibby	0.0758455
"Carson Palmer"	0.0755883
"Ryan McCann"	0.0754982
"Damien Woody"	0.0753416
"Shawn Marion"	0.0750823
"Courtney Brown"	0.074714
"Danny Wuerffel"	0.0744116
"Dirk Nowitzki"	0.0739402
Mirer	0.0738537
"Jason Williams"	0.0734653
"Steve DeBerg"	0.0732982
"Leon Smith"	0.0722345
Szczerbiak	0.0719686
"Drew Brees"	0.071726
"Raef LaFrentz"	0.0716146
"Warren Moon"	0.0709336
"Elton Brand"	0.070808
"Tom Brady"	0.0704814
"Van Raaphorst"	0.0702947
"Jim Harbaugh"	0.0700626
"JEVON KEARSE"	0.0700588
"Andre Miller"	0.0698532
"Michael Booker"	0.0695154
"Curtis Enis"	0.0694551
"Flozell Adams"	0.0694424
Marino	0.0694259
"Joe Thornton"	0.0689288
"Lamar Odom"	0.0685581
"Sebastian Janikowski"	0.0683383
Flutie	0.0682764
Kanell	0.0677535
"Devean George"	0.0676983
DeBerg	0.0676204
"Bobby Hoying"	0.0669029
"Jumaine Jones"	0.0666656
"Keith Smith"	0.0664727
"Trung Canidate"	0.0662949
"Mike Bibby"	0.0662133
"Solomon Page"	0.0659315
Kitna	0.0657203
"Erik Kramer"	0.065366
"Terry Bradshaw"	0.0652299
"J.D Drew"	0.0651334
"Randy Moss"	0.065132
"Skip Hicks"	0.0649558
Grbac	0.0648484
"David Boston"	0.0648057
Faulk	0.0647299
crouch	0.0647224
"Tony Graziani"	0.0645237
Newcombe	0.0644038
Aikman	0.0643712
Henson	0.0643186
Olowokandi	0.0633782
Drew	0.0633138
"Chris Claiborne"	0.0632322
"Tebucky Jones"	0.0628894
"Jeff Weaver"	0.0628737
"Tony George"	0.0625018
"Kevin Johnson"	0.0623055
McNair	0.0618931
Brady	0.0616029
"running back"	0.0610333
"Kenyon Martin"	0.0606288
Weinke	0.0606282
"Paul Pierce"	0.0603945
Zolak	0.0602903
Underwood	0.060212
"Kordell Stewart"	0.0601507
Chandler	0.0598235
"John Tait"	0.0598139
"Charlie Ward"	0.0597645
"Van Exel"	0.0593648
Kealy	0.0593441
Warner	0.0593235
"Antawn Jamison"	0.059179
Detmer	0.0591777
"Vince Carter"	0.0591477
WARRICK	0.0589529
"LaVar Arrington"	0.0589012
"Pat Garrity"	0.0586858
"Tyronn Lue"	0.0586475
"Wane McGarity"	0.0586464
Bledsoe	0.0586315
"J.R Redmond"	0.0584851
"Jim Kelly"	0.0580923
Brunell	0.0579554
Dayne	0.0578711
))
(Akinwande (desc 3347.71) (sims
"Henry Akinwande"	0.204808
"Vaughn Bean"	0.128288
Holyfield	0.119954
Whitaker	0.11651
"Lennox Lewis"	0.112175
Quartey	0.110788
Botha	0.108779
Moorer	0.108575
"Mike Tyson"	0.108566
Gatti	0.106028
Bedell	0.103436
"Johnny Tapia"	0.0991539
Pippig	0.0972345
"Evander Holyfield"	0.0970218
"Julius Francis"	0.0963517
Bowe	0.0962447
Tyson	0.0939523
Sotomayor	0.092574
"Axel Schulz"	0.0903547
Lennox	0.0870983
Ruiz	0.0860934
Tua	0.0830384
Holyfield-Lewis	0.0830197
"Lou Savarese"	0.0822914
"Oscar De La Hoya"	0.079053
Ayala	0.078072
Marciano	0.0765051
"World Boxing Association"	0.0762375
Trinidad	0.0751407
Evander	0.0743553
"Julio Cesar Chavez"	0.0742973
Golota	0.0740617
"Riddick Bowe"	0.0725052
Mosley	0.0719746
Hamed	0.0718897
"Roy Jones Jr."	0.071268
Jayasinghe	0.0709856
Frazier	0.0703296
WBA	0.0696709
Tapia	0.0692463
"Felix Trinidad"	0.06843
"George Foreman"	0.0673875
"Orlin Norris"	0.0663162
Ali	0.0658153
Savon	0.0651211
Fieger	0.0644941
Zapata	0.0638732
"Michael Grant"	0.0636401
Ottey	0.0627996
"De La Hoya"	0.0627944
Sweeting	0.0623119
"Oba Carr"	0.0599609
"junior welterweight"	0.0597852
"Roberto Duran"	0.0594558
WBC	0.0594162
"Don King"	0.0589481
"Larry Holmes"	0.0585014
"Muhammad Ali"	0.0580434
Duran	0.0565482
Maradona	0.0557525
Paulie	0.0557226
"Ben Johnson"	0.0557111
"Hernan Gumy"	0.055692
welterweight	0.0550787
IBF	0.054877
"Shane Mosley"	0.0544348
Slaney	0.0541268
"Francois Botha"	0.0538828
"Ike Quartey"	0.0535786
Ruelas	0.0535302
"Buster Douglas"	0.0529594
Savarese	0.0528626
Xiong	0.0526217
Taufik	0.0525203
Mayweather	0.0523184
Korda	0.0518488
Forrest	0.0516678
"light heavyweight"	0.0516219
Godina	0.0510971
Hoya	0.0509981
Vargas	0.0509814
Coley	0.050293
"Paulie Ayala"	0.0502678
Norris	0.0502198
Fiedler	0.0499757
"Joe Louis"	0.0497751
Bulatovic	0.0493051
"Partizan Belgrade"	0.0488966
Coe	0.0479333
cruiserweight	0.047899
Rogan	0.0477981
Stoltenberg	0.0477851
Mlicki	0.0474672
Farris	0.0471893
"junior middleweight"	0.0463717
Espinosa	0.0463159
"Kostya Tszyu"	0.0459941
Zyvox	0.0456646
Morales	0.0454727
Hawkeyes	0.0449235
Coetzer	0.0445859
Nateq-Nouri	0.0445817
Villeneuve	0.0444445
"Asa Carlsson"	0.0442266
"Red Star"	0.0441347
Pape	0.043931
"Frank Bruno"	0.0438952
Toiv	0.0437974
Briggs	0.0437913
"Felix Savon"	0.0433419
Corretja	0.0433348
"Karim Alami"	0.0432694
"Albert Portas"	0.0431821
Tilberis	0.0431726
Gustafsson	0.0430891
Kagwe	0.0430815
Ralston	0.042829
Garry	0.0428259
Katsav	0.04279
Lopez	0.0427743
Charpentier	0.0427247
Berasategui	0.0426468
"Arnaud Di Pasquale"	0.0426242
Christie	0.0423676
Mercer	0.0423003
"Magdalena Maleeva"	0.0422806
Charest	0.042275
Huber	0.0421542
Puente	0.0421325
Eyadema	0.0420062
Lapentti	0.0420032
Poplasen	0.0417833
Furyk	0.0416122
SJC	0.041531
"American Chanda Rubin"	0.0414896
Harding	0.0414689
Sezer	0.0413954
Rosenblatt	0.0413189
"Rocky Marciano"	0.0411545
Carr	0.0411212
"Shannon Briggs"	0.0410535
"Arnaud Boetsch"	0.0410277
featherweight	0.0409228
rios	0.0406644
Demaci	0.0405783
Schulz	0.0403953
"drug traffic"	0.0403855
"Hicham Arazi"	0.0403394
Morrison	0.0402781
Cassini	0.040266
Oakley	0.0402525
"Vladimir Stepania"	0.0401347
"David Reid"	0.0400798
))
("Akira Kurosawa" (desc 1118.75) (sims
"Billy Wilder"	0.194767
"Ingmar Bergman"	0.15747
"Alfred Hitchcock"	0.149093
"Stanley Kubrick"	0.138522
"J. Edgar Hoover"	0.127465
"Tim Burton"	0.121908
"Steven Soderbergh"	0.121483
"Jonathan Demme"	0.121333
"Nora Ephron"	0.110164
"Terrence Malick"	0.107791
"Julie Taymor"	0.10467
"John Waters"	0.102788
"Elia Kazan"	0.101164
"Orson Welles"	0.0988727
"Neil LaBute"	0.0942747
"Katharine Hepburn"	0.092236
Kurosawa	0.0910002
"Wes Craven"	0.0881241
"Robert Altman"	0.0872724
"Mike Nichols"	0.0866223
"Bette Davis"	0.0854319
"Barry Levinson"	0.0843891
"Ingrid Bergman"	0.0828614
"Martin Scorsese"	0.0804749
"Pedro Almodovar"	0.0803199
"Francis Ford Coppola"	0.0799982
Sayles	0.0788652
"W.C. Fields"	0.0787517
"William Randolph Hearst"	0.0784546
"David Lynch"	0.074433
"Xie Zhenhua"	0.0743581
"Frank Capra"	0.0739767
"John Ford"	0.0728963
Kubrick	0.0727177
"James Cameron"	0.0726173
"Fred Astaire"	0.0716667
"Edward Albee"	0.0715335
"John Weaver"	0.0710901
"Sam Mendes"	0.0694229
"Charlie Chaplin"	0.0692326
"Louis Freeh"	0.0681749
"George Tenet"	0.068114
"John Irving"	0.0681032
Branagh	0.0679983
"Ron Howard"	0.0679086
"Quentin Tarantino"	0.0678186
"Gary Cooper"	0.0676579
"John Browne"	0.0641858
"Rob Reiner"	0.0641713
"John Wayne"	0.063893
"Warren Beatty"	0.0630594
"Spike Lee"	0.0622394
Boorman	0.061229
"Jerry Garcia"	0.0608828
"Leonardo da Vinci"	0.0608548
"Tennessee Williams"	0.060349
"Robert Wilson"	0.0600234
Frankenheimer	0.0599682
"Robert Redford"	0.0596169
"David Mamet"	0.0588849
"Clint Eastwood"	0.0587225
"Tim Robbins"	0.0585434
"Charlton Heston"	0.0584297
"Sophia Loren"	0.0580977
"Derrick Thomas"	0.0579818
Wilde	0.0579579
"Oliver Stone"	0.0574449
"Kenneth Branagh"	0.0570454
Fellini	0.0568901
"Andrew Lloyd Webber"	0.0563784
"George Lucas"	0.0559155
"John Huston"	0.0556543
"George Miller"	0.0553755
Baryshnikov	0.0553752
"Roberto Benigni"	0.0551446
Austen	0.0551297
Sorkin	0.0551207
"Usual Suspects"	0.0550218
Condon	0.0548493
"Anna Karenina"	0.0548338
"Brigitte Bardot"	0.0547011
Gathers	0.0541499
Kusama	0.0537628
"James Joyce"	0.0536148
"gold miner"	0.0536023
"Marlene Dietrich"	0.0529826
"Woody Allen"	0.0525424
Eliza	0.051852
Jeffers	0.0513132
"Ted Hughes"	0.0512509
Quintero	0.051057
"Dan Schnur"	0.0508344
"Lucille Ball"	0.0505218
"James Stewart"	0.0500746
Fermilab	0.0500474
LaBute	0.0500037
"Paul Schrader"	0.0496421
Jeeves	0.0492225
Soderbergh	0.0488609
motorcyclist	0.0486221
"John Lennon"	0.0486017
"Billy Hunter"	0.0485001
"Bobby Grier"	0.0480629
"Dwight Clark"	0.0480416
"Karen Hughes"	0.0478616
"John Steinbeck"	0.0474914
AOC	0.0473867
"Gary Graham"	0.0473819
Truffaut	0.0470975
"Siamese twin"	0.0470741
Miyazaki	0.0466202
Tucci	0.046368
"Humphrey Bogart"	0.046261
"Ozzie Newsome"	0.0462082
"Nelson Rockefeller"	0.0459428
"Stanley Tucci"	0.0455837
NLRB	0.0454686
Lucasfilm	0.0453852
"Mark Tuinei"	0.0453807
Leonardo	0.0453082
Webdale	0.0451801
"Cuban Americans"	0.0447497
"Haim Ramon"	0.0446768
Stoppard	0.044607
"King Hassan II"	0.0444752
"Andreas Papandreou"	0.0444417
Craxi	0.0444012
"John Madden"	0.044277
"KCP&AMP;L"	0.0442721
"Dennis Hopper"	0.0442261
"Richard Wright"	0.0438912
Dudayev	0.0438002
"Walter Matthau"	0.0437774
"Ralph Reed"	0.0437715
Samurai	0.0437462
"Michael Kennedy"	0.0434281
Crichton	0.043406
"Ballet Theater"	0.0433333
"Royal Shakespeare Company"	0.0430782
"X Games"	0.0428215
"National Gambling Impact Study Commission"	0.0426545
"Elizabeth Taylor"	0.042644
"American Psycho"	0.0422566
"Royal National Theater"	0.0422432
Paciello	0.042162
"Billy Bob Thornton"	0.0420249
Heinrichs	0.0419742
"King Hassan"	0.0419654
Pushkin	0.0417122
"Stephen King"	0.0415581
BANDERAS	0.0414011
Ono	0.0411898
"Groucho Marx"	0.0410709
"Pol Pot"	0.0410062
Moliere	0.0409247
MAMET	0.0408158
"Laurence Olivier"	0.0404935
Mitterrand	0.0403229
Yoakam	0.0403014
"Human Immunodeficiency Virus"	0.0402686
MALICK	0.0400244
))
(Akram (desc 1325.01) (sims
MacGill	0.225626
Kumble	0.209254
Mullally	0.201841
Agarkar	0.186255
Headley	0.177222
Gough	0.172005
Cronje	0.169466
Kallis	0.163439
"Wasim Akram"	0.142006
McGrath	0.131772
"Damien Fleming"	0.130998
Muralitharan	0.120198
"Salim Malik"	0.118182
Dillon	0.117025
"Glenn McGrath"	0.114535
Ramprakash	0.112383
Malik	0.105772
"Moin Khan"	0.0997795
Hooper	0.0951481
Tendulkar	0.0901493
Venter	0.087372
Chopra	0.0850087
Croft	0.0849914
Lehmann	0.0786009
"Stuart MacGill"	0.075714
Donald	0.0756827
Anil	0.0750479
Ambrose	0.0722277
"Jacques Kallis"	0.0657178
Okamoto	0.0634573
Warne	0.0616802
Sato	0.0582937
McLean	0.0580638
"Carl Hooper"	0.0558664
khan	0.0544604
Gayle	0.0523882
"Dean Headley"	0.0515278
Okada	0.0509022
"Allan Donald"	0.0497726
"Curtly Ambrose"	0.0486352
JetBlue	0.048493
Shalom	0.0477768
Embree	0.0457743
McMillan	0.0455152
Mantei	0.0446991
Yamamoto	0.044658
Tudor	0.0444407
Waugh	0.044359
"Darren Gough"	0.0441355
Gomes	0.0436949
Recchi	0.043608
Takeshita	0.0426543
Beckenbauer	0.0421084
Cairns	0.0419504
Gillespie	0.0417519
PictureTel	0.0404591
Primeau	0.0401102
))
(Akron (desc 7151.59) (sims
Columbus	0.14047
Springfield	0.139251
Dayton	0.132832
Greenville	0.124631
canton	0.122946
Kettering	0.122781
"Little Rock"	0.121685
Wilmington	0.121404
Youngstown	0.117737
ASHEVILLE	0.116037
Morristown	0.11581
Louisville	0.113877
Xenia	0.113011
Tampa	0.111874
"Fort Lauderdale"	0.111698
Toledo	0.109537
Hillsboro	0.107578
Syracuse	0.105627
Englewood	0.105598
LAKEWOOD	0.105564
Brownsville	0.105324
Lubbock	0.105314
Plano	0.104736
Omaha	0.104522
Honolulu	0.104502
Augusta	0.103533
Bangor	0.103204
Tucson	0.103049
Spokane	0.101548
Albuquerque	0.101332
"Virginia Beach"	0.101021
Austin	0.100734
Birmingham	0.100724
Albany	0.100536
midland	0.0999536
"New Haven"	0.099446
"South Bend"	0.0993042
Greenwich	0.0992185
Portsmouth	0.0990096
Cincinnati	0.0986261
Charleston	0.0985799
"West Palm Beach"	0.0984163
Newark	0.0980564
Richmond	0.0980412
"Saratoga Springs"	0.0979627
Indianapolis	0.0969415
Knoxville	0.0969033
Huntsville	0.0967349
Rochester	0.0962961
"Baton Rouge"	0.0960332
Raleigh	0.0958616
"Kansas City"	0.0958313
Shreveport	0.0958225
Lexington	0.095374
"St. Petersburg"	0.094799
"East St. Louis"	0.094765
Baltimore	0.094709
Dublin	0.0946163
Minneapolis	0.0945854
Jasper	0.0944321
Tulsa	0.0944005
Miami	0.094314
Orlando	0.0940883
Hartford	0.0940054
CARACAS	0.0936803
Tacoma	0.0926316
Nashville	0.0924196
"Oklahoma City"	0.0921694
TALLAHASSEE	0.0918242
Cleveland	0.0916721
"Fort Worth"	0.0913522
"El Paso"	0.0911813
"East Orange"	0.0907636
Dallas	0.0905751
Milwaukee	0.0903348
Denver	0.0900738
Macon	0.0900668
Alexandria	0.0899888
Middletown	0.0899238
Norfolk	0.0898338
Portland	0.0896829
"San Antonio"	0.0894696
Sarasota	0.0894478
"New Orleans"	0.0892614
Holyoke	0.0891299
Phoenix	0.0887435
Laramie	0.0884262
Yonkers	0.0883727
Brooklyn	0.0881073
Murmansk	0.0879533
Hattiesburg	0.0876169
Sacramento	0.0874193
"St. Paul"	0.0873032
Cambridge	0.0872047
anchorage	0.0871873
Poughkeepsie	0.0871714
"New Rochelle"	0.0870365
Harrisburg	0.0870243
Bridgeport	0.0866416
"Des Moines"	0.0861171
Detroit	0.086066
"Cedar Rapids"	0.0860117
Memphis	0.0859821
Binghamton	0.0859677
Bensonhurst	0.0858512
Americus	0.0858356
"Long Beach"	0.0854245
Decatur	0.0848994
Tbilisi	0.0848471
Savannah	0.0848016
Pittsburgh	0.0846158
Chicago	0.0842609
"San Juan"	0.0842383
Worcester	0.0841943
Krakow	0.0841029
"Gaza City"	0.0840808
Beaumont	0.0836973
"San Francisco"	0.0836395
Elmira	0.083429
Buffalo	0.0832502
Belfast	0.0831471
Algiers	0.0831364
Fresno	0.0829867
"Bowling Green"	0.082962
"Mexico City"	0.0827821
Hanover	0.0827153
Marietta	0.0825865
Philadelphia	0.0823282
Chappaqua	0.0821102
"St. Louis"	0.0820952
"Jersey City"	0.0820227
"White Plains"	0.0820083
Amarillo	0.0819486
Scranton	0.0818079
TRENTON	0.0817954
Jacksonville	0.0815303
Salisbury	0.0814943
Montreal	0.0809058
Arkansas	0.0807737
Bloomington	0.0806957
Topeka	0.08065
"La Paz"	0.0806176
Houston	0.0805395
Cooperstown	0.0805089
"Palo Alto"	0.0803256
MELBOURNE	0.0803192
"Atlantic City"	0.0799297
Utica	0.0798409
Guadalajara	0.0797411
Port-au-Prince	0.0797235
Carthage	0.0796481
Duesseldorf	0.0794355
"The Bronx"	0.0793713
Lausanne	0.0792775
Florence	0.0792001
Calgary	0.0789644
Arlington	0.0789562
flint	0.0786954
Xian	0.0785528
Cartagena	0.0782713
Seattle	0.0782525
Wichita	0.0782109
Fairfield	0.0779309
Istanbul	0.0774536
Bethlehem	0.0773804
Dakar	0.0771744
"San Jose"	0.0769957
Duluth	0.0769937
Milan	0.0769303
Winston-Salem	0.0768313
Havana	0.0767287
Dushanbe	0.0767192
PALERMO	0.0766897
Texarkana	0.0766737
Manchester	0.0765256
Toronto	0.0764769
"San Diego"	0.0764688
"Sao Paulo"	0.0764342
Boise	0.0764177
"Cape Town"	0.0763022
Madrid	0.0758342
Santiago	0.0753575
ZAGREB	0.0753453
Glasgow	0.0752914
Laredo	0.0752851
"Salt Lake City"	0.0751225
Taipei	0.0750016
Concord	0.0749215
Chattanooga	0.0748176
Gaborone	0.0745945
Reykjavik	0.074568
"Miami Beach"	0.0744575
Auckland	0.0744424
Naples	0.0743943
"New Jersey"	0.0734459
Bermuda	0.0733506
Westfield	0.0732814
Northampton	0.0732572
Vienna	0.0728747
"Newport Beach"	0.0728708
))
(al (desc 33908.2) (sims
NL	0.254677
"American League"	0.249099
"National League"	0.230224
A.L.	0.125093
"major league"	0.122496
AL.	0.121168
NFC	0.115553
league	0.115317
majors	0.109042
"Western Conference"	0.107196
"Eastern Conference"	0.103929
AFC	0.100361
"Awami League"	0.0932886
"Arab League"	0.0907235
NHL	0.0844326
ACC	0.0841297
Pac-@@	0.0839779
"AL Central"	0.0814301
"NL Central"	0.0811202
"Central Division"	0.0807063
"AL West"	0.0769725
"big league"	0.0758078
NBA	0.074837
"Big East"	0.0747277
"Big @@"	0.0745507
"Division I-AA"	0.0736778
ASTROS	0.0727762
"AL East"	0.0720017
NFL	0.0718179
"AFC East"	0.0708919
"Atlantic Coast Conference"	0.0702244
WNBA	0.0695083
brave	0.0683227
"Pacific Division"	0.0678884
ml	0.0678823
"Red Sox"	0.0672106
mariner	0.0671978
Mets	0.0666979
Padre	0.0662583
"National Hockey League"	0.0661478
Sox	0.0656118
diamondback	0.0629241
"NFC East"	0.0626547
"Atlantic Division"	0.0623285
"Big Sky"	0.0617359
dodger	0.0617351
"AFC West"	0.0610809
"American League West"	0.06096
"Big Sky Conference"	0.0609556
"NL West"	0.0607617
cub	0.0602477
"blue jay"	0.0595981
"Southeastern Conference"	0.0591259
"White Sox"	0.0590729
"National League Central"	0.0587373
ranger	0.0581801
SEC	0.0580958
baseball	0.0579613
"NFC West"	0.057954
"American League East"	0.0574219
"Bangladesh Nationalist Party"	0.0573839
Yankee	0.0569828
Pacific-@@	0.0567889
mike	0.0566353
BNP	0.0562866
Orioles	0.0562519
Bundesliga	0.0559657
"National Football League"	0.0557332
"Western Athletic Conference"	0.0556025
"Al Gore"	0.0552804
Jim	0.0552035
"minor league"	0.0545632
"NL East"	0.0545568
postseason	0.0544095
John	0.0542827
ANC	0.0538018
ALCS	0.0537314
Paul	0.0536339
tom	0.0534538
Phillies	0.0528412
WAC	0.0527706
cardinal	0.0525347
Royals	0.0524447
"Premier League"	0.0524377
Brian	0.0523883
LPGA	0.0523162
angel	0.0521932
Joe	0.0521586
"devil ray"	0.0516586
pirate	0.0515518
"Pakistan Muslim League"	0.0511846
"National Party"	0.0511275
Steve	0.0509379
"National Basketball Association"	0.0507505
"Bharatiya Janata Party"	0.0505825
ANAHEIM	0.0504072
Cleveland	0.0503615
"African National Congress"	0.0502797
Giants	0.0499433
Gary	0.0498585
"World Series"	0.0498244
marlin	0.0497959
BJP	0.0495927
CPN-UML	0.0493428
PML	0.0493153
AHL	0.0492083
Dan	0.0491626
"Labor Party"	0.049094
Jeff	0.0489587
Hillary	0.048522
Rudy	0.0481677
"Anaheim Angels"	0.0481663
batting	0.0481105
Jerry	0.04806
OIC	0.0480062
"Congress Party"	0.0478371
NLCS	0.0477792
OAU	0.0476737
Ben	0.0476232
Jimmy	0.0475681
brewer	0.0475581
Peter	0.0475184
Yankees	0.0474487
OAS	0.0474482
David	0.0473708
Larry	0.0473235
"New York Mets"	0.0472285
"Socialist Party"	0.0472182
Johnny	0.0470351
RBI	0.0470266
gore	0.0469732
"United Front"	0.0468895
Frank	0.0467453
"Tampa Bay"	0.0466616
Kanu	0.0466465
A's	0.046561
BOB	0.046531
hitter	0.0464555
Dave	0.0463692
Indian	0.0463684
seventh	0.046177
"New York Yankees"	0.0459021
All-Star	0.0458943
"little league"	0.0457249
Jeb	0.0456303
Oakland	0.0455619
Andy	0.0452813
FRELIMO	0.0451061
Rick	0.0450753
twin	0.0450343
"George W."	0.0449982
"Kenya African National Union"	0.0449909
Ted	0.0449
"American League Championship Series"	0.0448198
Expo	0.0446841
Reggie	0.0446795
Billy	0.0445378
Derby	0.0444735
Bush	0.04429
fifth	0.0441975
IRL	0.0441551
"first @@"	0.0440355
"Winston Cup"	0.0439927
interleague	0.0438706
Richard	0.043547
Sonics	0.0434943
Jamie	0.0434738
Eric	0.0434729
Michael	0.0434688
SDP	0.0432593
Charles	0.0432053
RPP	0.0431146
umpire	0.0430714
eight	0.043009
Robert	0.0429193
DiMaggio	0.0428784
Zanu-pf	0.0428147
"Social Democrats"	0.0426894
"Atlanta Braves"	0.0426418
Bobby	0.0426151
Carl	0.0425383
"batting average"	0.0425253
Rockies	0.0424585
George	0.0424045
at-bat	0.0422785
Tony	0.0422581
Fred	0.0420957
"Division Series"	0.0420653
"Communist Party"	0.0420326
Detroit	0.0419653
playoff	0.0419475
Roger	0.0418395
CPP	0.0417762
NCAA	0.0417341
Sean	0.0417143
"Nepali Congress"	0.0416835
"Kentucky Derby"	0.0416103
Phil	0.041548
USOC	0.0415475
PPP	0.0413616
))
("Al Ahram" (desc 1773.38) (sims
"Alam Al Yom"	0.513247
Al-Ahram	0.496442
"Al Hayat"	0.371686
"Business Day"	0.371489
"Tehran Times"	0.34215
"Kenya Times"	0.33436
Sowetan	0.333371
al-Hayat	0.333289
"New Nigerian"	0.333208
Hurriyet	0.331532
"East African Standard"	0.322979
"Jordan Times"	0.307572
"Khaleej Times"	0.301883
Maariv	0.289746
"Nihon Keizai"	0.282726
"Gulf News"	0.280814
Noticias	0.280449
"Financial Mail"	0.280341
Kommersant	0.275205
"Iran News"	0.269785
"Yediot Ahronot"	0.269548
"El Mundo"	0.268648
"The Monitor"	0.268542
Haaretz	0.267177
"Daily Nation"	0.266299
"Straits Times"	0.261608
"The New Vision"	0.260312
"El Pais"	0.256298
"Egyptian Gazette"	0.254432
"Vietnam News"	0.25436
"Indonesian Observer"	0.253645
"New Vision"	0.252516
"Le Figaro"	0.250372
"Jakarta Post"	0.247257
"Daily Star"	0.23946
Politika	0.237651
"Moscow Times"	0.237379
"Bangkok Post"	0.237241
"Zambia Daily Mail"	0.236844
"Ethiopian Herald"	0.236474
"Business Times"	0.236383
"Nihon Keizai Shimbun"	0.234586
Malaya	0.233053
Bild	0.231991
"Jerusalem Post"	0.231372
Salam	0.227257
"Post Express"	0.222597
"New Light"	0.22189
"South China Morning Post"	0.219731
Izvestia	0.219384
"East African"	0.213433
L'Equipe	0.212407
"Kathmandu Post"	0.211467
"China Daily Business Weekly"	0.200694
"U.S. Labor Department"	0.19955
Angop	0.196455
"Asahi Shimbun"	0.195286
Granma	0.195089
Al-Thawra	0.194915
Reforma	0.192122
"Yomiuri Shimbun"	0.189137
Inquirer	0.187334
"Macao Daily News"	0.186746
"Middle East News Agency"	0.185556
"Daily Times"	0.18522
"Le Monde"	0.185076
"Nhan Dan"	0.182719
"Sydney Morning Herald"	0.177852
"Korean Central News Agency"	0.173216
"Business Weekly"	0.172568
Asahi	0.172224
Sera	0.169805
"Radio Uganda"	0.163333
"Daily Mail"	0.163035
"Athens News Agency"	0.162049
"Associated Press of Pakistan"	0.161398
"Vietnam News Agency"	0.159333
"Rodong Sinmun"	0.158744
"Philippine News Agency"	0.158042
"Turkish Daily News"	0.156964
"Agence France Presse"	0.156148
"Wenhui Daily"	0.154045
"Anatolia News Agency"	0.154002
"Seattle Times"	0.153979
"News Agency of Nigeria"	0.153976
"New Straits Times"	0.151874
"Koha Ditore"	0.150973
"Kuwait News Agency"	0.149609
"Egyptian Middle East News Agency"	0.148022
"Iraqi News Agency"	0.147671
"Saudi Press Agency"	0.146884
"Kyodo News"	0.146737
"Daily Telegraph"	0.145061
"Financial Times"	0.143688
"Guangming Daily"	0.143681
ATA	0.143367
"Beijing Daily"	0.143009
"Thai News Agency"	0.14297
Yomiuri	0.142745
"Press Trust of India"	0.142667
"Cyprus News Agency"	0.14264
"Zambia News Agency"	0.142503
"Ghana News Agency"	0.141558
MTI	0.140979
"National Post"	0.140744
Eurostat	0.139352
MENA	0.138297
Lusa	0.134959
"Daily News"	0.133443
"Southern African Broadcasting Association"	0.13251
Ansa	0.131024
Antara	0.130188
KPL	0.128924
"Kyodo News Service"	0.1284
"Islamic Republic News Agency"	0.128015
"Ethiopian News Agency"	0.127642
"China Youth Daily"	0.127289
gazette	0.126837
"South African Press Association"	0.126698
Tanjug	0.124665
"USA TODAY"	0.124328
"Detroit News"	0.122955
Notimex	0.1225
"Australian Associated Press"	0.121837
"National Association of Realtors"	0.11997
"Agence France-Presse"	0.119755
"Zimbabwe News Agency"	0.119109
"Washington Times"	0.118198
"Israel Radio"	0.117939
Dominion	0.117731
"Der Spiegel"	0.115674
"Rwanda News Agency"	0.115396
"British Broadcasting Corporation"	0.114853
Tous	0.113909
"U.S. Commerce Department"	0.113548
Tass	0.113051
"Dallas Morning News"	0.113042
"Evening Standard"	0.112876
IRNA	0.111889
"New York Daily News"	0.111611
"Wen Wei Po"	0.111552
"China Daily"	0.110162
Bernama	0.109309
"Statistics Canada"	0.108112
Petra	0.108098
WAM	0.107451
"Denver Post"	0.106774
Domingo	0.104237
Anatolia	0.103085
"Washington Post"	0.101748
AFP	0.101273
"Dow Jones Newswires"	0.0994856
"Detroit Free Press"	0.0989525
"New York Post"	0.0987648
"Chicago Tribune"	0.0973156
"Boston Herald"	0.0968771
ABS-CBN	0.096756
"Hartford Courant"	0.0962712
Babel	0.0961092
"Antara News Agency"	0.0954503
"United Press International"	0.0931162
telegraph	0.0931106
"Los Angeles Times"	0.0924369
Dana	0.0893692
Itogi	0.0893553
"Australian Bureau of Statistics"	0.0892979
"Wall Street Journal"	0.0890399
"Economic Daily"	0.0886059
Guardian	0.088051
Sabah	0.0880274
BS	0.0868582
"Beijing Youth Daily"	0.0860157
Mayo	0.0860001
"press agency"	0.0854439
"Cincinnati Enquirer"	0.084713
"Red Star"	0.0843196
"Philadelphia Inquirer"	0.0836798
Tennessean	0.0835845
Post-Intelligencer	0.0825226
"roll call"	0.082125
"Orange County Register"	0.0802555
"Miami Herald"	0.080074
Kyodo	0.0799321
al-Baz	0.079483
newsmagazine	0.0794736
NTV	0.0789932
"San Antonio Express-News"	0.0789632
Star-Ledger	0.078758
CTV	0.078373
Spiegel	0.0756639
"Xinhua News Agency"	0.0747756
"Conference Board"	0.0732795
RSS	0.0731107
Brasil	0.0724315
"Chicago Sun-Times"	0.0723739
"Hosni Mubarak"	0.0713822
Reuters	0.0712799
API	0.0711889
"Commerce Department"	0.0703421
CNA	0.0701703
))
("Al Aqsa Mosque" (desc 1259.29) (sims
"Al-Aqsa Mosque"	0.440067
"Temple Mount"	0.224905
"Orient House"	0.136889
"Jabal Abu Ghneim"	0.122872
Zhongnanhai	0.111989
"Har Homa"	0.10541
"Labor office"	0.0926532
"Aryan Nations"	0.092504
Davidian	0.0865798
decontamination	0.0811224
"Western Wall"	0.0789123
"Hyannis Port"	0.0774415
"Branch Davidian"	0.0755581
"Old City"	0.0740455
Consulate-General	0.0719528
"holy place"	0.0702322
"Hebrew University"	0.0670731
"Mount Carmel"	0.0636195
"freedom of religion"	0.0628147
Eichmann	0.0622877
"Manger Square"	0.0616347
habitation	0.0611413
"German Embassy"	0.0601717
patching	0.0590256
"sea lane"	0.058701
yeshiva	0.0582931
"Dead Sea"	0.0573395
Graceland	0.0571184
Crucifixion	0.0562097
"Tehran University"	0.0555628
hilltop	0.0547854
"Roman Empire"	0.0545596
UNAMET	0.0541617
"Simon Wiesenthal Center"	0.0540049
"Arctic Ocean"	0.0536136
Stormont	0.0532458
Basilica	0.0528964
"Olympic Village"	0.0526123
"Oak Ridge"	0.0523267
Travelocity	0.0522216
Sputnik	0.0519801
"Hilton Hotel"	0.0518692
Fatima	0.0517971
guesthouse	0.0514859
"US Embassy"	0.0514366
"Russian Embassy"	0.0512448
heliport	0.0509848
drywall	0.0502277
Fen	0.0498736
"U.S. Information Agency"	0.04985
UNIFIL	0.0496459
Xiaolangdi	0.0491736
"national monument"	0.0490683
"Lahore High Court"	0.0488474
"open-air market"	0.0487983
oppressed	0.0487419
"technical school"	0.0483497
mayoralty	0.0474891
"U.S. Capitol"	0.0470673
Buchenwald	0.0470629
"Abu Dis"	0.0468545
cultist	0.0465602
"pizza parlor"	0.0465274
"Republican Guard"	0.0463329
collider	0.0461845
census-takers	0.0461312
"rare earth"	0.0461154
"Diamond Mountain"	0.0460637
Golcuk	0.0457671
Sarid	0.0456085
"Jordan River"	0.0455974
Pompeii	0.0455906
Kanungu	0.0454435
DrKoop.com	0.0450444
Mosul	0.0447281
"Hyde Park"	0.044658
"tax advantage"	0.0445738
drachma	0.0440485
TheStreet.com	0.0439263
"nuclear family"	0.0435416
"First Union Center"	0.0430132
"Kathmandu Valley"	0.0429139
Consul-General	0.0428117
wallboard	0.0425797
Nativity	0.0424251
lakeside	0.0423297
shanty	0.0418065
"church service"	0.0414669
"World Vision"	0.0412597
sanctity	0.0412374
"National Association of Realtors"	0.0409321
"Iraqi Kurds"	0.0404968
))
("Al Capone" (desc 2022.72) (sims
"Tony Soprano"	0.15547
"John Gotti"	0.12181
Whitey	0.107997
"The Sopranos"	0.0763857
Gotti	0.0661402
McDuff	0.0656423
Barrionuevo	0.0650976
Cheung	0.0634102
"John Martorano"	0.0632146
Akayesu	0.0621533
Craxi	0.0609286
Vic	0.0605155
Mease	0.0593923
swank	0.059139
Echegaray	0.0589791
"police sergeant"	0.0589285
"big spender"	0.0584045
Jelisic	0.0574779
McGinn	0.0563237
aldermen	0.0562917
Markhasev	0.0562056
McVeigh	0.0551965
"Alexander the Great"	0.0548432
Quintana	0.0547042
Lacresha	0.0536463
Hatfield	0.053607
"Josef Stalin"	0.053442
"Ralph Ellison"	0.0530403
Mehmet	0.0528665
Faulder	0.0526781
Sacco	0.0524323
Noriega	0.0510506
"John J. Gotti"	0.0510159
Ehrlichman	0.0507626
Arizmendi	0.0506257
"Raul Salinas"	0.0500272
Coolio	0.0496031
Edward	0.0490876
"deficit spending"	0.0485795
Mitterrand	0.048223
twenty-eight	0.0476517
Sonny	0.0471926
Manson	0.0466513
Laudor	0.0462796
"another @ million"	0.0461786
Kimeses	0.0461376
"Karl Marx"	0.0460431
Siripongs	0.0458442
Lawler	0.045546
Sebaggala	0.0449158
lutz	0.0448138
Salemme	0.0446928
"Reagan Democrats"	0.0444996
"Bengal tiger"	0.0444398
Tarver	0.0440163
septuplets	0.0439584
Okamoto	0.0438521
"Genghis Khan"	0.0437608
perestroika	0.0436318
"Jesse James"	0.043527
Chinese-Indonesians	0.0434214
zeppelin	0.0433578
Pastore	0.043293
Beckwith	0.0429537
"Timothy McVeigh"	0.0429515
Martorano	0.0428432
McDonalds	0.0427197
Bradshaw	0.0424734
Shulman	0.0423797
capo	0.0422275
Abernathy	0.0422004
Halloran	0.0419414
matriarch	0.041866
Symington	0.0417722
crewmembers	0.0413124
"Northern Fleet"	0.0412386
Agca	0.0411884
"call girl"	0.0409881
Sato	0.0409531
"John William King"	0.0408396
Mortimer	0.0406583
counterculture	0.0405674
"Buddy Holly"	0.0402938
"particle accelerator"	0.0401863
))
("AL Central" (desc 2704.95) (sims
"Central Division"	0.307677
"NL West"	0.302436
"American League West"	0.296626
"NL East"	0.296604
"AL East"	0.290436
"National League West"	0.289742
"NL Central"	0.280845
"National League East"	0.275264
"AFC Central"	0.274367
"AL West"	0.272359
"National League Central"	0.264463
"AFC West"	0.253695
"NFC Central"	0.241872
"Atlantic Division"	0.240946
"NFC East"	0.230975
"NFC West"	0.221646
"American League East"	0.21158
"Eastern Division"	0.210124
"AFC East"	0.197214
"Pacific Division"	0.19
"Big Sky Conference"	0.173981
"SEC East"	0.16121
cruiserweight	0.159247
"Eastern Conference"	0.156942
"Northeast Division"	0.156297
"Western Conference"	0.151838
"Italian League"	0.136568
"junior lightweight"	0.134953
"Big Sky"	0.132831
"U.S. Amateur"	0.131133
Pacific-@@	0.12945
"junior middleweight"	0.128058
Bundesliga	0.11981
"junior welterweight"	0.119706
"Atlantic Coast Conference"	0.118102
"Conference USA"	0.117894
flyweight	0.117735
Super-G	0.109497
"Pan Ams"	0.108026
"Funny Car"	0.107937
"Big West"	0.10742
A.L.	0.106592
"MLS Cup"	0.10466
NFC	0.104455
"World Championship"	0.102285
"Little League World Series"	0.10138
Pac-@@	0.099544
"Fed Cup"	0.0981815
"U.S. Senior Open"	0.0962689
bantamweight	0.0955549
"Top Fuel"	0.0955175
"Southwest Conference"	0.0954732
AFC	0.0945282
"Big @@"	0.0944005
"American League"	0.0943203
ACC	0.0941181
"Busch Grand National"	0.0935971
"Southeastern Conference"	0.0935954
"light heavyweight"	0.092488
fide	0.0921327
"Grand National"	0.0919748
"first cup"	0.089861
"United States Open"	0.0898452
featherweight	0.089583
decathlon	0.0895525
"Western Open"	0.0891087
backstroke	0.0888772
"Big East"	0.0888158
"World Boxing Council"	0.0887651
"NASCAR Winston Cup"	0.0875128
"World Boxing Association"	0.0874169
"American League Championship Series"	0.0869553
"European Cup"	0.0867076
"Premier League"	0.0847007
"Division I-AA"	0.0836668
"International Boxing Federation"	0.0834767
constructor	0.083368
CWS	0.0831623
"Solheim Cup"	0.0830291
"League Cup"	0.0827281
"Western Athletic Conference"	0.082666
"South Regional"	0.0823786
WCC	0.082212
"Division Series"	0.0820815
al	0.0814301
WBO	0.0813041
"National League"	0.0809741
"Boston Marathon"	0.0809482
"London Marathon"	0.0796733
ALCS	0.078687
slalom	0.0783587
"US Open"	0.0768885
"Ivy League"	0.0767254
welterweight	0.0758999
"Gold Cup"	0.0756767
"Home Run Derby"	0.0753045
EuroLeague	0.0750507
"Group @"	0.0748683
"International League"	0.0746389
NL	0.0740953
Heptathlon	0.0736308
"Winston Cup"	0.0732682
"Division @"	0.0729253
breaststroke	0.0724533
"spelling bee"	0.0721636
"Busch Series"	0.0720181
"West Regional"	0.0714597
steeplechase	0.071371
"shot put"	0.0703021
Lipton	0.0701726
"Indy Racing League"	0.0700885
WBC	0.0696562
"Pan Pacific"	0.0695609
IRL	0.0693677
"European Champions Cup"	0.069252
WBA	0.069222
NLCS	0.0680928
"Group B."	0.0679857
"Tour de France"	0.0679411
pentathlon	0.0678852
Maurier	0.0673959
WAC	0.0668279
"Canadian Open"	0.0666419
PBA	0.0661841
"Pacific Coast League"	0.0661771
AFL	0.0661752
"Stanley Cup"	0.0661532
"Japan Open"	0.0660286
"FA Cup"	0.065812
"American Football League"	0.0657047
"ski jumping"	0.0651814
freestyle	0.0648672
"three-day event"	0.0637935
"F.A Cup"	0.0636786
"Federation Cup"	0.0635902
"long jump"	0.0633448
"New York City Marathon"	0.0632443
"Daytona @@@"	0.0631145
"hammer throw"	0.0627404
"Canadian Alliance"	0.0625022
AL.	0.0620602
"Copa America"	0.0618991
ml	0.0618233
"Nissan Open"	0.0616849
"first tour"	0.0614056
Iditarod	0.0612237
springboard	0.0608014
"Hong Kong Open"	0.0602045
Busch	0.0594954
"International Hockey League"	0.0594627
downhill	0.059378
"Kremlin Cup"	0.0587854
"Eclipse Award"	0.0582157
"UEFA Cup"	0.0579348
"College World Series"	0.0577423
"Indy @@@"	0.0576566
"Hopman Cup"	0.0567241
"NZ First"	0.0566637
WTA	0.0565763
scull	0.056456
"Santa Anita Handicap"	0.0564345
"Dunhill Cup"	0.0563858
"African Cup"	0.0562647
"Australian Open"	0.0557275
"cross country"	0.055597
tourney	0.0553925
Brickyard	0.0551543
"won eight"	0.0551203
PGA	0.0550534
"Oak Tree"	0.0547795
"Fighting Irish"	0.0545548
"Cup Winners Cup"	0.0544223
"won six"	0.0543538
"Thomas Cup"	0.0540765
"WTA Tour"	0.0539667
GP	0.0539396
"Atlanta Olympic"	0.0537913
CAA	0.0537682
"first nine"	0.0536163
judo	0.0534842
"Santa Anita Derby"	0.0533514
"Group A."	0.0530893
"Le Mans"	0.0530662
C-USA	0.0528843
"Italian Cup"	0.0528454
Giro	0.0528163
medley	0.0528115
"high jump"	0.0527984
snooker	0.0527813
"British Open"	0.0527351
"Champions Cup"	0.0527267
"Legg Mason"	0.0526726
WNBA	0.0523564
"National Hockey League"	0.0521337
chess	0.0520462
"Maurier Open"	0.0520146
"Lone Star State"	0.0519065
nit	0.051665
Ironman	0.0515041
badminton	0.0511573
))
("Al D'Amato" (desc 1908.5) (sims
"Alfonse D'Amato"	0.159658
"Fob James"	0.1426
"Mike Foster"	0.0924764
"Matt Fong"	0.0866806
"Kit Bond"	0.0859341
"David Beasley"	0.0855316
"John Rowland"	0.0828247
"Lauch Faircloth"	0.0793647
"Willie Brown"	0.0768803
"Christie Whitman"	0.0764861
Smitherman	0.0744456
Ashcroft	0.0733027
Moseley-Braun	0.0722776
Lungren	0.0709948
"Ann Richards"	0.069535
"Barbara Boxer"	0.0693324
D'Amato	0.0692934
"Barry Goldwater"	0.0692621
"James Rogan"	0.0689292
"Dennis Vacco"	0.0688986
"Rudy Giuliani"	0.0682091
"Hillary Clinton"	0.0677716
Dukakis	0.0676052
"Biljana Plavsic"	0.0674795
"George Bush"	0.0662857
"Gray Davis"	0.0661688
"Bob Bullock"	0.0657644
"Mario Cuomo"	0.0654439
Nateq-Nouri	0.0654205
Pappas	0.0653571
"Pete Wilson"	0.0650395
"Geraldine Ferraro"	0.0649989
FAIRCLOTH	0.0649588
"Chuck Schumer"	0.0638176
co-premier	0.0622445
Kilborn	0.0620361
"President Lee Teng-hui"	0.0617743
"John Ashcroft"	0.0616342
Espinosa	0.0614245
Shui-bian	0.0600975
"Jane Hull"	0.0597999
Voinovich	0.0588566
"Carolyn McCarthy"	0.0587532
"Rick Santorum"	0.058154
"Jim Florio"	0.0570845
MacKay	0.0569919
Bunning	0.0567878
"Russell Feingold"	0.0563742
"Lawton Chiles"	0.056211
"Rudolph Giuliani"	0.0560788
"Nita Lowey"	0.0558167
Kennelly	0.055766
"Connie Mack"	0.0557523
"Ted Kennedy"	0.0547559
"Helmut Kohl"	0.0546869
"Rick Lazio"	0.0545978
Robb	0.0545916
FOMC	0.0545585
Soong	0.0545032
"Paul Coverdell"	0.0541102
"Kay Bailey Hutchison"	0.053907
"Bobby Kennedy"	0.0538787
"Peter Vallone"	0.0535517
"Bill Shoemaker"	0.053535
Diouf	0.0533245
Vacco	0.0530218
"Tommy Thompson"	0.0526103
"Ron Paul"	0.0522964
"Jesse Helms"	0.0522214
"Jimmy Carter"	0.0517706
"Tom Ridge"	0.0514557
"Jim Kolbe"	0.0514144
"Frank Keating"	0.051236
Moynihan	0.0507715
"Dan Lungren"	0.0505509
Salazar	0.0505427
Kostunica	0.0505098
D-N.Y.	0.05043
Mejia	0.0501834
Alarcon	0.0500945
Bucaram	0.0499369
"CHARLOTTE STING"	0.0497888
Fiorina	0.0497019
Susanti	0.0496709
"Hubert Humphrey"	0.049004
Gargan	0.0487626
Florio	0.0487004
"Lowell Weicker"	0.0485169
Taft	0.0482095
"Walter Mondale"	0.04797
"J.C. Watts"	0.0479
"John G. Rowland"	0.0478102
Schottenheimer	0.0477987
Nicol	0.0476847
"Mel Carnahan"	0.0473963
Checketts	0.0473885
Bouchard	0.0469251
Schourek	0.046687
"George McGovern"	0.0465005
Lissouba	0.0464116
"Krishna Prasad Bhattarai"	0.0463438
"Mike DeWine"	0.0461946
Boehner	0.0461396
"Los Angeles City Council"	0.0461393
"Vladimir Meciar"	0.0460868
"Linda Smith"	0.046083
Kouchner	0.0460672
"Secretary-General Boutros Boutros-Ghali"	0.0459808
rank-and-file	0.0459783
"Tom Landry"	0.0459051
Tierney	0.0458875
"Jim Gilmore"	0.0458035
Kolbe	0.0457321
Farah	0.0454568
Millner	0.0453603
Schiff	0.0452183
Koufax	0.0450898
"Daniel Patrick Moynihan"	0.0450211
"Kenneth Clarke"	0.0449933
Samuelson	0.0443092
Zarkin	0.044291
Zhivkov	0.0442344
Sather	0.0441591
"Karim Abdul-Jabbar"	0.0441439
"McCaughey Ross"	0.0440637
Wannstedt	0.0440556
"Boutros Boutros Ghali"	0.0439969
Nethercutt	0.04394
Serpa	0.0438876
Hagelin	0.0438421
Driscoll	0.0437443
"Jeb Bush"	0.0436742
Quayle	0.0436639
"Joe Lieberman"	0.0434472
Quebecers	0.0434212
Sargent	0.0433368
Davey	0.0430957
Roque	0.0430536
"Mike Van Raaphorst"	0.0430302
Graziano	0.0428482
Groscost	0.0428016
Intimidator	0.0426857
Spyridon	0.0426784
Treen	0.0426772
Grbac	0.0425578
Eldred	0.0425576
Rove	0.0424308
"Perez Balladares"	0.0424257
Cardenas	0.0423327
"Griffith Joyner"	0.0422968
Evander	0.0422808
"Tom Harkin"	0.0422361
"Dianne Feinstein"	0.0422148
"Sherwood Boehlert"	0.0421746
looper	0.0421104
Ftorek	0.0420991
"Ross Perot"	0.0420359
Jeffords	0.0420162
"Paul Cellucci"	0.0419781
"James Jeffords"	0.0418612
"Henry Hyde"	0.0417183
Bruno	0.0416649
Tarawneh	0.0416408
Ammiano	0.0415971
Gramm	0.0415647
"Superintendent Ruben Zacarias"	0.041515
"Todd Husak"	0.0415082
"Conrad Burns"	0.0414605
assemblyman	0.0413419
Teresa	0.04129
Morceli	0.0410889
Farrellys	0.0409319
Aliev	0.0409237
Harshbarger	0.040921
deflector	0.0407341
Santorum	0.0407324
"Strom Thurmond"	0.0406985
"New York Democrat"	0.0406502
O'Malley	0.040602
"John Engler"	0.0405817
"Gary Hart"	0.0405606
"Bill Frist"	0.0405162
"Davey Johnson"	0.0404997
Romar	0.0403913
Whyte	0.0401835
"Jim Calhoun"	0.0401529
Bulatovic	0.0400195
))
("Al Davis" (desc 3474.27) (sims
"Jerry Buss"	0.144374
"Peter Angelos"	0.138851
"Robert Kraft"	0.138099
"Daniel Snyder"	0.124531
"Leon Hess"	0.123535
"Jerry Reinsdorf"	0.11773
"George Steinbrenner"	0.112687
"Jerry Jones"	0.109499
"Tom Hicks"	0.100215
"Jerry Colangelo"	0.0965944
"Bud Selig"	0.0926691
"Bob Kraft"	0.0920836
"Mark Cuban"	0.0895468
"Joe Gibbs"	0.0888064
"Bob McNair"	0.0864468
Edson	0.0822765
"Don Shula"	0.0821915
"Herb Kohl"	0.0787577
"Rich Gannon"	0.0784003
"Marge Schott"	0.0769505
"Lucio Tan"	0.0761202
"Carl Icahn"	0.0752032
"Dan Reeves"	0.0728065
"A.J Foyt"	0.0719919
GRUDEN	0.0715889
"Frank Stronach"	0.0689124
"Bruton Smith"	0.0681033
"Charles Woodson"	0.0670762
Wilkens	0.0660273
McMullen	0.0658781
"Brian Cashman"	0.0642065
"Mike Brown"	0.0639366
"Howard Milstein"	0.0630477
"John Henry"	0.0620559
ANGELOS	0.0604109
"Chan Gailey"	0.0603753
Modell	0.0594094
Colangelo	0.0592608
Isringhausen	0.0568725
"Ed Roski"	0.0568629
"Vince Lombardi"	0.0557025
Sampson	0.0554574
"Scotty Bowman"	0.0546891
Steinbrenner	0.0546804
"Mike Holmgren"	0.054645
Carollo	0.0544377
Ganassi	0.0543325
Schott	0.0530696
"Al Fayed"	0.0527797
"Mario Lemieux"	0.0524773
"Vince McMahon"	0.0523445
Neulander	0.0523277
"Paul Allen"	0.0521789
Soares	0.051903
Fassett	0.0516761
Krause	0.0513757
Reinsdorf	0.0506281
Jerry	0.0503647
Snyder	0.0502843
Mukora	0.0497415
"Glen Sather"	0.0495494
Dodik	0.0492636
"Dan Duquette"	0.0491141
"Hearst Corp."	0.048559
"Isiah Thomas"	0.0483642
Waddell	0.0482063
"Ted Turner"	0.0479441
"Ernie Grunfeld"	0.0479228
"Jimmy Johnson"	0.0478568
Kelleher	0.0467893
Vialli	0.0465696
"Elliott Walden"	0.0458171
Selig	0.0455969
"John Robinson"	0.0452934
Pegram	0.0451772
Ramseys	0.0448013
"Vladimir Gusinsky"	0.0447427
"Sandy Alderson"	0.0442715
McNamara	0.0441006
Willard	0.0440471
Casserly	0.043954
Strauss-Kahn	0.0438562
"Dick Vermeil"	0.0437545
Reeves	0.0437154
"Steve Ballmer"	0.0434014
Tran	0.0433649
Hicks	0.0432408
E.T	0.043018
"Rick Pitino"	0.042958
"Ray Rhodes"	0.0429537
Hirschfeld	0.0427853
"Tim Brown"	0.0426985
"Tom Landry"	0.0426891
"De Soto"	0.0425753
"Ben Grieve"	0.0425685
"Jerry Krause"	0.0425056
Stoneman	0.0424905
Donnan	0.0424512
Alderson	0.042396
"Barry R. McCaffrey"	0.0423457
"Howie Long"	0.0422567
AFL	0.0420427
Cremins	0.0419374
Brazill	0.0419207
McLane	0.0418456
"Northeast Utilities"	0.0416774
"Neil Smith"	0.0413452
Larry	0.0409248
Oneidas	0.0408256
"law officer"	0.0406706
"San Francisco @@ers"	0.0405993
Skiles	0.0405702
"Bela Karolyi"	0.0400643
DeBartolo	0.0400599
"Michael Ovitz"	0.0400401
))
("AL East" (desc 3490.68) (sims
"American League East"	0.374985
"AL West"	0.333431
"National League West"	0.321851
"NL Central"	0.30852
"NL East"	0.305479
"Atlantic Division"	0.299353
"AL Central"	0.290436
"American League West"	0.289262
"NL West"	0.285288
"Central Division"	0.268584
"National League East"	0.262843
"AFC West"	0.257337
"Pacific Division"	0.243792
"AFC Central"	0.215213
"NFC Central"	0.206753
"NFC West"	0.204108
"National League Central"	0.203563
"AFC East"	0.198451
"Eastern Division"	0.196823
"Northeast Division"	0.189705
"NFC East"	0.186947
"SEC East"	0.169567
"Western Conference"	0.164981
"Eastern Conference"	0.16057
"Big Sky Conference"	0.156228
Pacific-@@	0.14511
"American League Championship Series"	0.130621
ALCS	0.117391
A.L.	0.112659
"Little League World Series"	0.10948
Bundesliga	0.109162
ACC	0.108865
"South Regional"	0.106545
"Big Sky"	0.104495
cruiserweight	0.104383
"Western Open"	0.102686
"Division I-AA"	0.101902
NFC	0.101723
"Italian League"	0.100814
"Big West"	0.0986834
Pac-@@	0.0981434
"American League"	0.0948567
"Conference USA"	0.0947433
"Big @@"	0.0928624
"Southwest Conference"	0.090437
"junior welterweight"	0.0903547
"Western Athletic Conference"	0.0898234
"first cup"	0.0896953
WCC	0.0896642
"National League"	0.089219
"Division Series"	0.0891119
AFC	0.0890327
"Premier League"	0.0889904
"Southeastern Conference"	0.0889672
"World Series"	0.0885214
"junior lightweight"	0.0882261
Super-G	0.0879277
"Pan Ams"	0.0857502
"junior middleweight"	0.0852141
"American League Division Series"	0.0843891
NL	0.0833738
"United States Open"	0.0831612
"U.S. Amateur"	0.0815846
"Atlantic Coast Conference"	0.0814648
"Fed Cup"	0.0813073
CWS	0.07906
"MLS Cup"	0.0790269
WBO	0.0774788
backstroke	0.077011
"Top Fuel"	0.0766092
"Busch Grand National"	0.0750028
"World Championship"	0.0745113
EuroLeague	0.0742459
"Big East"	0.074035
"Group B."	0.0733654
"Group @"	0.0731035
"European Cup"	0.0726839
decathlon	0.0723998
"Japan Open"	0.0720675
al	0.0720017
"European Champions Cup"	0.0714739
pennant	0.0707861
"U.S. Senior Open"	0.0707627
"International League"	0.0706853
"Grand National"	0.0705969
"Funny Car"	0.0704742
ml	0.070407
best-of-@	0.0703891
"light heavyweight"	0.0690609
Lipton	0.0689589
"League Cup"	0.0682468
"Midwest Regional"	0.0679925
"NASCAR Winston Cup"	0.0675189
flyweight	0.0672806
"College World Series"	0.0669249
slalom	0.0668208
bantamweight	0.0667953
"World Boxing Association"	0.0665584
"shot put"	0.0657627
"Federation Cup"	0.0657127
"World Boxing Council"	0.0651155
"first four"	0.063401
"London Marathon"	0.0632572
"Hong Kong Open"	0.0632188
"Gold Cup"	0.0628726
featherweight	0.0616089
constructor	0.0614353
"Ivy League"	0.0612869
WAC	0.0606073
"West Regional"	0.0604907
Heptathlon	0.0603923
"East Regional"	0.0595882
"US Open"	0.0592309
"ski jumping"	0.0590661
"UEFA Cup"	0.0590649
"won eight"	0.0587447
"Pacific Coast League"	0.0587236
"Dunhill Cup"	0.0584176
"long jump"	0.0582575
"International Boxing Federation"	0.057697
"Division @"	0.0576532
Maurier	0.057337
"Nissan Open"	0.0572035
"Blue Grass"	0.0569585
"won four"	0.0567972
"Confederations Cup"	0.0567177
"Santa Anita Derby"	0.0565713
breaststroke	0.0564381
"Tour de France"	0.0564077
steeplechase	0.0562352
"Indy Racing League"	0.0562195
"Hopman Cup"	0.056073
"Group A."	0.055594
"Pan Pacific"	0.0555842
WHA	0.0553489
"South American"	0.0550506
pentathlon	0.0550126
Iditarod	0.0545335
CAA	0.0544897
"Santa Anita Handicap"	0.0542581
freestyle	0.0541387
"F.A Cup"	0.054079
"Chinese Basketball League"	0.0539561
"Daytona @@@"	0.0536509
WBA	0.0535349
"Cup Winners Cup"	0.0532663
Ironman	0.053107
"FA Cup"	0.0529068
"Davis Cup World Group"	0.0528489
"Copa America"	0.0522261
AFL	0.0519972
"National Invitation Tournament"	0.0518595
postseasons	0.0517399
"Winston Cup"	0.0516798
"first nine"	0.0514445
fide	0.0513248
"Home Run Derby"	0.0511917
"Busch Series"	0.0511784
NLCS	0.0511747
"high jump"	0.0511539
"American Football League"	0.051116
"Canadian Open"	0.0510796
"American Hockey League"	0.0510304
"Juvenile Fillies"	0.0509398
"Maurier Open"	0.0509386
Premiership	0.0509242
"Stanley Cup"	0.0509218
"National Hockey League"	0.0508592
"National Collegiate Athletic Association"	0.0508489
"second tour"	0.0507636
"British Open"	0.0507247
"New York City Marathon"	0.050709
"Kremlin Cup"	0.0506627
"major league"	0.0500061
"Nations Cup"	0.049901
"Thomas Cup"	0.049721
under-@@	0.0492439
javelin	0.0492431
PBA	0.0492423
Serie	0.0491927
"African Cup"	0.048798
"African Nations Cup"	0.0485492
nit	0.048468
"Florida Derby"	0.0480544
"Super Bowl XXXIII"	0.0479529
NHRA	0.0479056
welterweight	0.047796
chess	0.0476993
interleague	0.0475536
"Legg Mason"	0.0473676
WBC	0.0472306
AHL	0.0472233
scull	0.0471828
"Solheim Cup"	0.0471013
"NBA Finals"	0.0469741
"World League"	0.0468503
G	0.0463944
"Fiesta Bowl"	0.0463527
"hammer throw"	0.0462547
"English Premier League"	0.0462051
))
("Al Fayed" (desc 2041.95) (sims
"De Klerk"	0.158438
Idris	0.148855
Shayler	0.137832
Harris-Lewis	0.137064
McGill	0.135555
McGinn	0.134311
Ritter	0.133629
Hodler	0.132022
Lockyer	0.131623
Murr	0.131604
Quackenbush	0.129563
Cornyn	0.126125
Mikhailov	0.125054
Alioto	0.123335
Neulander	0.12147
Hersh	0.121197
Ramseys	0.11806
Kodikian	0.114605
Zuma	0.114545
"Juan Miguel Gonzalez"	0.114197
Perelman	0.113503
Hess	0.11315
Eappens	0.112166
Jewell	0.110278
Robison	0.109249
DeBartolo	0.109101
Bidwill	0.108745
Carollo	0.108541
Ruehe	0.107347
Advani	0.10668
Tarver	0.106071
Alcorn	0.105482
Ickes	0.105406
"Russell Peeler"	0.105076
Faulder	0.104978
Ganga	0.103788
Kesri	0.103661
Callaghan	0.10308
Scharping	0.102713
Kulikov	0.102585
Hamid	0.101974
Berlusconi	0.101767
Giordano	0.101762
"Marianne Gingrich"	0.101601
Warshaw	0.101473
Hiett	0.101127
Symington	0.100949
Sheinbein	0.100677
Shevardnadze	0.10021
Hirschfeld	0.0991556
LeFave	0.0991182
Agca	0.0986804
Glaser	0.0982082
Garza	0.0976891
Maurizi	0.0975977
Keitel	0.0974615
Vasquez	0.0971645
Fayed	0.0970414
Nasrallah	0.0969513
hale	0.0968084
Jenoff	0.0965811
Caddell	0.096234
Zeman	0.0960007
Bulatovic	0.0958217
Einhorn	0.0952996
McVeigh	0.0950595
"Maturino Resendiz"	0.0949722
Ghalib	0.094852
Blackwell	0.0944097
LaPierre	0.0943427
Flemmi	0.0942546
Garcetti	0.0942286
Coia	0.0937248
"Tom Hicks"	0.0934353
Mudge	0.0932322
Havelange	0.092872
Fernandes	0.0924815
Nujoma	0.092274
Mukora	0.092251
Imperatori	0.0921349
Chmura	0.0917641
Papon	0.0914929
Weizman	0.0912067
Arizmendi	0.0910312
Protas	0.0910266
Cleary	0.09101
Harrelson	0.0907613
Kaunda	0.090489
Capano	0.0904439
Taft	0.0903881
Seleznyov	0.0903448
Kimes	0.0903149
Lazarenko	0.090312
Nikitin	0.0903111
Fagan	0.0901057
Kennelly	0.090064
Yoo	0.0898671
Masire	0.089604
Kinkel	0.0895738
Denktash	0.0894851
Waigel	0.0894813
Karr	0.089477
Naumann	0.0894159
Lundy	0.0891837
Rakhmonov	0.08906
Blumenthal	0.0890263
Slaney	0.0888027
Murayama	0.0887518
Villanueva	0.0886245
"defense lawyers"	0.088488
Martorano	0.0880191
Gusinsky	0.0878925
Yosef	0.087888
DiCarlo	0.0874653
Cramer	0.0872636
Maharaj	0.0872558
Gangelhoff	0.0870895
leeson	0.0870454
Neeman	0.0869531
Podesta	0.0869338
Blackthorne	0.0867963
Koirala	0.0867404
Pirro	0.0867174
Gotti	0.086236
Feldman	0.0861869
Autry	0.0859356
Bhutto	0.0858761
Whitacre	0.0856491
Maslyukov	0.0856467
Sebaggala	0.0856424
Liggett	0.0856131
Pagones	0.0855725
Taubman	0.0855157
Joklik	0.0853154
"Food Lion"	0.0852645
Tsang	0.0850053
Kurth	0.0846933
Ghani	0.0846318
Moscoso	0.0846004
Marulanda	0.0845265
Steinbrenner	0.0840779
Karbaschi	0.0838061
Baucus	0.0835954
Merrick	0.0835057
Katzenberg	0.0834991
Nemtsov	0.0834121
Roush	0.0833742
Gritz	0.0833019
Abu-Jamal	0.0832932
Bakaly	0.0832187
Klerk	0.0831269
Nanula	0.0830836
"Di Canio"	0.0830805
Komura	0.0829985
Manley	0.0829551
McDermott	0.0829373
Goh	0.0828417
Sergeyev	0.0825494
Tomlinson	0.0825484
Eizenstat	0.0825409
Hanna	0.0824533
"Albert Pirro"	0.0824524
Haney	0.0822829
Stayner	0.082099
Tauzin	0.0819346
Molinari	0.0817511
Blatter	0.0813749
Frankel	0.0813679
Hanley	0.081332
Rodionov	0.0812993
Cooke	0.0812896
Shinn	0.0810544
Rifkind	0.0810225
Abernathy	0.0807965
Verney	0.0807793
Espinoza	0.0807713
Skakel	0.0807044
Haughey	0.0805722
Basayev	0.0804828
Schwartz	0.0803862
"Bill Skate"	0.0799309
Demaci	0.0798074
Mitnick	0.0797914
Choate	0.0795527
Kornberg	0.0793797
Paciello	0.0792904
Aoki	0.0792761
"Michael Skakel"	0.0791797
Camacho	0.0790505
"Jerry Buss"	0.07887
Boueiz	0.0786837
Lim	0.0785538
Beilin	0.0785093
Harrer	0.0783003
peeler	0.078182
Napolitano	0.0781518
Wolfensohn	0.0781027
Lindland	0.0780736
Coe	0.0780497
Lipstadt	0.0779525
))
("Al Franken" (desc 1393.36) (sims
"Dennis Miller"	0.142572
"Norm MacDonald"	0.133837
"Richard Pryor"	0.12817
"George Carlin"	0.120367
"Jon Stewart"	0.110982
"Chris Rock"	0.0940742
"Jerry Seinfeld"	0.0931645
"John Cleese"	0.0852752
"George Burns"	0.0823696
"David Spade"	0.0786263
"Bill Maher"	0.0784548
"Mike Myers"	0.0760745
"Morgan Freeman"	0.0746319
"Mel Brooks"	0.0738147
"Andy Kaufman"	0.0730634
"Martin Lawrence"	0.0697154
"John Belushi"	0.069404
"Arianna Huffington"	0.0662906
"Eddie Murphy"	0.0646172
"Ellen DeGeneres"	0.0637179
"Joan Rivers"	0.063571
"Billy Crystal"	0.0627774
"Albert Brooks"	0.0617015
"Jerry Lewis"	0.060872
"Jay Mohr"	0.0600597
"Bill Cosby"	0.0593786
"Garry Shandling"	0.0589485
"Bob Hope"	0.05815
"Adam Sandler"	0.0546961
"Steve Martin"	0.0544807
"Drew Carey"	0.0542095
"Greg Kinnear"	0.0500055
"Rosie O'Donnell"	0.0499376
"Aaron Sorkin"	0.0496434
"Paul Reiser"	0.0492556
"Tim Allen"	0.0476577
"Chevy Chase"	0.0467631
Lafleur	0.0466613
"Whoopi Goldberg"	0.0454013
"Howie Long"	0.0448398
"Lynn Swann"	0.0439538
"Salma Hayek"	0.0434541
"Late Night"	0.0430872
"John Wells"	0.0425659
"Stan Lee"	0.0420925
satirist	0.0410376
"Matt Groening"	0.0405391
warhorse	0.0404505
"Chris Carter"	0.0404008
"Linus Torvalds"	0.0402806
Toto	0.0400149
))
("Al Gore" (desc 66000.5) (sims
gore	0.257068
"George W. Bush"	0.239004
"Bill Bradley"	0.210938
Bush	0.204148
"John McCain"	0.202984
McCain	0.185807
"George Bush"	0.185042
Bradley	0.179605
"vice president"	0.172043
"Bob Dole"	0.170818
"Elizabeth Dole"	0.152962
"Steve Forbes"	0.14554
Giuliani	0.144803
DOLE	0.143939
"Bill Clinton"	0.142343
"Pat Buchanan"	0.139686
candidate	0.138154
"Hillary Rodham Clinton"	0.137355
Clinton	0.135158
"Dick Cheney"	0.134717
"Hillary Clinton"	0.128709
"Republican George W. Bush"	0.128621
"Rick Lazio"	0.127012
"Michael Dukakis"	0.12687
"Democrat Al Gore"	0.125308
Lieberman	0.123847
Forbes	0.123611
"Dan Quayle"	0.120534
senator	0.120046
"Joe Lieberman"	0.119928
Republican	0.119752
Lazio	0.118858
"Lamar Alexander"	0.118372
"Gary Bauer"	0.116781
Buchanan	0.115173
Democrat	0.112734
Governor	0.111372
nominee	0.111351
Pataki	0.110596
front-runner	0.108771
"Joseph Lieberman"	0.106296
Labastida	0.105834
"Walter Mondale"	0.105307
Schumer	0.104972
"first lady"	0.103986
D'Amato	0.103845
Nader	0.102019
"Ronald Reagan"	0.101777
Quayle	0.101066
"Gray Davis"	0.0997616
"Ralph Nader"	0.0994675
"Ross Perot"	0.0983237
opponent	0.0979819
"Alan Keyes"	0.097964
Mayor	0.0964376
Cheney	0.0959316
Putin	0.0958876
"Rudy Giuliani"	0.0956162
"George W."	0.0951692
Hillary	0.0950797
"Jon Corzine"	0.0943299
Lungren	0.0933146
rival	0.0925361
Netanyahu	0.0925212
"Patrick Buchanan"	0.0922786
"George Pataki"	0.0918176
President	0.0917823
"running mate"	0.0914419
Cellucci	0.0902504
"Francisco Labastida"	0.0899933
GOP	0.0892852
Corzine	0.0890043
Vallone	0.0887062
Barak	0.088617
challenger	0.0882756
Mauro	0.0876301
"Gary Hart"	0.0875447
Reagan	0.0865676
"Jeb Bush"	0.0861415
"Richard Nixon"	0.0859321
"George McGovern"	0.0856735
"Jack Kemp"	0.0840454
"Jimmy Carter"	0.0832023
"Geraldine Ferraro"	0.0828412
Bauer	0.0821382
Yeltsin	0.0819014
contender	0.0816502
incumbent	0.0810735
Kennedy	0.0800328
politician	0.079852
"Rudolph Giuliani"	0.0798062
Harshbarger	0.078982
Perot	0.0789059
"Orrin Hatch"	0.078201
Florio	0.0780048
Hastert	0.0778109
Gingrich	0.0776995
Feinstein	0.0773637
"Charles Schumer"	0.0771019
Obasanjo	0.0769284
Schroeder	0.0762907
"Ann Richards"	0.0756544
"Vladimir Putin"	0.0756452
"Jim Florio"	0.075393
Chavez	0.075114
Khatami	0.0748946
"Ted Kennedy"	0.0748023
him	0.0743343
MacKay	0.0738275
Milosevic	0.0737714
"Republican Party"	0.073633
someone	0.0731351
conservative	0.0730057
"Scott Harshbarger"	0.0725761
"Barry Goldwater"	0.0725086
"Tipper Gore"	0.072499
party	0.0723872
Hoffa	0.0723317
Tipper	0.0720758
Speaker	0.071303
Ashcroft	0.071064
"Gerhard Schroeder"	0.0709822
"Democratic Party"	0.0708293
voter	0.0706709
"Dan Lungren"	0.0704373
Habibie	0.0703397
Gephardt	0.070285
"Ehud Barak"	0.0701073
"Vicente Fox"	0.0698072
Megawati	0.0695652
"Benjamin Netanyahu"	0.0695008
Kasich	0.0694659
Obuchi	0.0694159
Chernomyrdin	0.0693978
"Jesse Jackson"	0.0692377
Estrada	0.0691737
"Shimon Peres"	0.069119
Zedillo	0.0690991
Nixon	0.0689869
Ammiano	0.0689709
candidacy	0.0689226
Noboa	0.0688099
leader	0.0688083
Vacco	0.0684118
lawmaker	0.0682522
"Christie Whitman"	0.0682179
somebody	0.0680469
Congressman	0.0678874
Kohl	0.0677587
Carnahan	0.0672655
Ventura	0.0671283
Kostunica	0.0670928
Peres	0.0670496
Bashar	0.0669209
Fujimori	0.0665799
"John Kasich"	0.0665094
Gramm	0.066452
frontrunner	0.0664386
Keyes	0.0660503
Torricelli	0.0658446
Rowland	0.0656748
"Barbara Boxer"	0.065586
campaign	0.065442
man	0.0654409
her	0.0654339
Johnson	0.0653006
Blair	0.0647226
Wahid	0.0646724
"Roy Barnes"	0.0646254
himself	0.0645952
guy	0.0642882
"Colin Powell"	0.0642201
Kerry	0.0641048
Lott	0.0639769
"Boris Yeltsin"	0.0639714
Fox	0.0639509
Arafat	0.0639152
Dukakis	0.063818
Alexander	0.063512
Cuomo	0.063365
anyone	0.0633509
"Jesse Ventura"	0.0633408
Cardoso	0.0630917
everybody	0.0629469
"Bob Smith"	0.0629203
"Bashar Assad"	0.0627022
franks	0.0626057
administration	0.0625893
"John F. Kennedy"	0.06242
Spitzer	0.0623007
Hagelin	0.0622645
Davis	0.0622317
Tyson	0.0621702
everyone	0.062136
"Dianne Feinstein"	0.0621004
anybody	0.0619352
nomination	0.0618466
Mugabe	0.0618419
Pastrana	0.0617639
smith	0.061676
))
("Al Groh" (desc 1918.31) (sims
"Rich Brooks"	0.26923
"Dick Jauron"	0.23749
"Bill Belichick"	0.2311
"Dave Campo"	0.21531
"TOM COUGHLIN"	0.209261
"Chris Palmer"	0.192797
"Dom Capers"	0.190845
"Bora Milutinovic"	0.183211
"Mike Martz"	0.182389
"Bill Cowher"	0.175022
"Dave Wannstedt"	0.170258
"Tim Floyd"	0.169939
"Bill Parcells"	0.165957
"Scotty Bowman"	0.163357
"Brian Billick"	0.160063
"Bela Karolyi"	0.15648
"Dave McGinnis"	0.155695
"Ray Rhodes"	0.153127
"Mike Shanahan"	0.1381
Groh	0.13806
"Dick Vermeil"	0.137471
"Chan Gailey"	0.133147
"Don Shula"	0.132597
"Pete Carroll"	0.127573
"Don Zimmer"	0.127407
"Gary Kubiak"	0.12723
"Jim Harrick"	0.12536
"John Fox"	0.123351
"Norv Turner"	0.122409
"Dennis Erickson"	0.122353
"Dan Reeves"	0.119309
"Willie Randolph"	0.117489
"Jimmy Johnson"	0.116977
"Paul Westphal"	0.116658
"George Seifert"	0.116164
"Kurt Rambis"	0.115346
Belichick	0.115199
"Mike Ditka"	0.114278
"Steve Mariucci"	0.112045
"Ernie Zampese"	0.111769
"Tony Dungy"	0.111705
"Mike Dunleavy"	0.109478
"Don Baylor"	0.109059
"Colin Campbell"	0.10895
"Pat Burns"	0.108772
"Doc Rivers"	0.107769
"Paul Silas"	0.107442
"Dean Smith"	0.105836
Parcells	0.10538
"Dennis Johnson"	0.104339
"Rick Neuheisel"	0.104028
"Lenny Wilkens"	0.103709
"Terry Allen"	0.100929
"Jim Calhoun"	0.100706
"Bill Walsh"	0.100523
"Mike Holmgren"	0.0998892
"Lou Holtz"	0.0997383
"John Robinson"	0.099543
"John Calipari"	0.097479
"John Thompson"	0.0940712
"Tex Winter"	0.0938619
"Ferric Collons"	0.0936914
Fassel	0.0924691
"John Smith"	0.0910796
"Curtis Martin"	0.0896716
Ponciano	0.0885554
"Dennis Green"	0.0881122
Sampson	0.0880797
"Glenn Foley"	0.0880459
"Walter Zenga"	0.0877626
"Jerry Sloan"	0.087482
Rambis	0.0863932
"B.J Habibie"	0.0856862
"line coach"	0.084996
"Kevin Keegan"	0.0848186
"Chad Eaton"	0.0847675
"Butch Carter"	0.0845938
"Scott Zolak"	0.0837559
"Phil Jackson"	0.0832321
"Don Nelson"	0.0832251
Jauron	0.0830349
Martz	0.0829178
"Glen Sather"	0.0820078
"Larry Brown"	0.0817449
"Del Harris"	0.0814611
"Kim Jong-pil"	0.0813287
"June Jones"	0.0812414
"Ruud Gullit"	0.0811272
"Mike Jones"	0.0806218
"Tommy Bowden"	0.0802536
Harrick	0.0799893
Zico	0.0795728
"Tom Osborne"	0.0795034
Skiles	0.0783363
Billick	0.0782293
"Bryan Cox"	0.0771967
"Glenn Hoddle"	0.0769176
Holtz	0.0768883
"Joe Gibbs"	0.0758815
"Jeff Van Gundy"	0.0758799
"Barry Switzer"	0.0752732
"Vince Lombardi"	0.0752694
"John Wooden"	0.0745884
Milutinovic	0.074539
"Dave Cowens"	0.0743448
CEC	0.0741869
Layden	0.07276
"Doug Flutie"	0.0723718
"Roy Williams"	0.0721755
"Mike Krzyzewski"	0.0711944
Donnan	0.0711417
DeBerg	0.0708833
Wilkens	0.0708667
"Pat Riley"	0.0702617
Coughlin	0.0701923
COACHES	0.0699042
Silas	0.0695644
Spurrier	0.0691281
"Joe Kleine"	0.0690384
"Vincent Foster"	0.0688004
"Bobby Knight"	0.0683937
Shanahan	0.0682019
"Neil Smith"	0.0681323
"Steve Israel"	0.0680284
"Bob Knight"	0.0678391
"Rod Carew"	0.0674771
"Tom Landry"	0.0674012
Wannstedt	0.0667594
"Mike Scioscia"	0.0663221
Vermeil	0.06599
Iger	0.0657801
"Bob Kraft"	0.0653903
"Krishna Prasad Bhattarai"	0.0653675
"Bear Bryant"	0.0653583
Coelho	0.0652491
"Chris Slade"	0.0649677
"Clyde Drexler"	0.0648382
"Leon Johnson"	0.0644331
"Robert Kraft"	0.0643176
Zambrano	0.0642824
"Rudy Tomjanovich"	0.0642459
Holmgren	0.0641499
Landry	0.064069
"Rich Rodriguez"	0.0640307
Gailey	0.0631307
Solich	0.0628041
"P.J Carlesimo"	0.0625088
"Otis Smith"	0.0624901
Bhattarai	0.0624131
"Rick Pitino"	0.0623767
Neuheisel	0.0619205
"Ted Johnson"	0.0617952
Talebi	0.0614885
"Dennis Miller"	0.0613807
Ribbeck	0.0613461
"Neil O'Donnell"	0.0613245
Donahue	0.0613118
Slocum	0.0611548
"Tom Tupa"	0.0611368
"Larry Bird"	0.0610829
"Jimy Williams"	0.0609221
"James Hormel"	0.0606757
"Bill Cosby"	0.0604762
Zenga	0.0602144
"Bill Lann Lee"	0.0600096
Zagallo	0.0599622
Lavin	0.0599059
Napolitano	0.0598649
"Mack Brown"	0.0593553
"Damien Woody"	0.059331
Nate	0.0592779
"Vinny Testaverde"	0.0592624
"Bruce Armstrong"	0.0588105
"Johan Cruyff"	0.0587955
Drexler	0.0586335
"Tedy Bruschi"	0.0586248
Zampese	0.0584488
"Steve DeBerg"	0.0583156
"Isiah Thomas"	0.0582098
Mineta	0.0581674
"Chuck Daly"	0.0581037
Chambliss	0.0580165
"George Karl"	0.0578951
"Robert Edwards"	0.0573402
Tarawneh	0.0570616
"Doug Pederson"	0.0570501
K.	0.0569777
"little leaguer"	0.0568188
"math teacher"	0.05645
"Ebenezer Ekuban"	0.0564483
Walsh	0.0562136
Rodionov	0.0561603
Zolak	0.055955
"Red Auerbach"	0.0555807
capella	0.0554519
Casserly	0.0551602
Gibbs	0.0547432
Pitino	0.0546526
"Mitt Romney"	0.0544513
"Dave Wohlabaugh"	0.0544136
))
("Al Harrington" (desc 1550.98) (sims
"Darius Miles"	0.205558
"Devean George"	0.174518
"Jonathan Bender"	0.170177
"Toby Bailey"	0.164619
"Leon Smith"	0.156329
"Shammond Williams"	0.147509
"John Avery"	0.146616
"Sebastian Janikowski"	0.141707
"Cuttino Mobley"	0.138247
"Vladimir Stepania"	0.133831
"Shawn Marion"	0.132324
"Keith Brooking"	0.124401
"Jelani McCoy"	0.122442
"Damien Woody"	0.11739
"Austin Croshere"	0.117005
"Jumaine Jones"	0.113206
"Curtis Enis"	0.113077
"David Boston"	0.112738
"Andre Wadsworth"	0.110754
"John Tait"	0.110159
"Dirk Nowitzki"	0.109899
"Patrik Stefan"	0.109437
"Jalen Rose"	0.1088
"Raef LaFrentz"	0.10576
"Thomas Jones"	0.105134
"Tyronn Lue"	0.103267
"L.J Shelton"	0.103094
"Kenny Thomas"	0.101392
"Mark Jackson"	0.100996
"Pat Burrell"	0.100807
"Greg Ellis"	0.100252
"Bonzi Wells"	0.0983237
"Tebucky Jones"	0.0965208
"Champ Bailey"	0.0955482
"Travis Best"	0.0948965
"Mark Madsen"	0.0944287
"Sam Perkins"	0.0934657
"Edgerrin James"	0.0934284
"Matt Harpring"	0.0918031
"Rashard Lewis"	0.0905853
"Chris Mullin"	0.0883927
"Chad Pennington"	0.0872236
"Wally Szczerbiak"	0.0870312
"Rik Smits"	0.0864929
"Scott Gomez"	0.0861015
"Baron Davis"	0.0860551
"Antonio Davis"	0.0849684
"Flozell Adams"	0.0848963
"Brenden Morrow"	0.0826265
"Dwayne Goodrich"	0.0822732
"Greg Foster"	0.0814212
"Pat Garrity"	0.0813345
"Chris Claiborne"	0.0797983
"Ebenezer Ekuban"	0.0785922
"Michael Dickerson"	0.0785251
"Michael Olowokandi"	0.0781322
"Robert Edwards"	0.0776707
"Samaki Walker"	0.0769047
"Jason Terry"	0.0762023
"Jeff Weaver"	0.0756995
"JEVON KEARSE"	0.0753165
Stepanova	0.075123
"Reggie Miller"	0.0746257
"Donovan McNabb"	0.0742634
"Elton Brand"	0.0733839
"Dale Davis"	0.0725676
"Andre Miller"	0.0725437
"Corey Maggette"	0.072501
"Trung Canidate"	0.0724688
"Tim Couch"	0.0721285
"J.D Drew"	0.0717867
"Chris Canty"	0.0713411
"Torry Holt"	0.0712145
"Dion Glover"	0.0709817
"J.R Redmond"	0.0701409
"Kris Clack"	0.069593
"Courtney Alexander"	0.0679998
"Michael Booker"	0.0676367
"Tracy McGrady"	0.0675912
"Andy Katzenmoyer"	0.0672506
"Jamal Lewis"	0.0669091
"Steve Francis"	0.0663038
"Solomon Page"	0.0660257
"Kevin Faulk"	0.0658118
"Michael Myers"	0.0656468
"Ron Artest"	0.064054
"Robert Traylor"	0.063292
"Rae Carruth"	0.063087
All-Americans	0.0629163
"Paul Pierce"	0.0626364
"Tony Simmons"	0.0624057
"Chamique Holdsclaw"	0.0622094
"Danny Manning"	0.0621761
"Mike Bibby"	0.061471
"Dez White"	0.0613636
"Chris Porter"	0.0606793
"Lamar Odom"	0.0606634
"Todd Husak"	0.0603573
"Hu Weidong"	0.0603208
"LaVar Arrington"	0.0602167
"Peerless Price"	0.0588586
"Matt Maloney"	0.0587726
"Jason Williams"	0.058594
"Fred Taylor"	0.0585007
"Ruben Patterson"	0.0576019
Smits	0.0573939
"Mike Brown"	0.057188
"Etan Thomas"	0.057171
"Tony Amonte"	0.0571253
"Wane McGarity"	0.0570132
"Jason Fabini"	0.0563145
"Kenyon Martin"	0.0560896
"Juwan Howard"	0.0560755
"Brian Grant"	0.0554279
"Skip Hicks"	0.0553581
"Tony George"	0.0553351
"Todd MacCulloch"	0.0547602
"Manny Fernandez"	0.0544397
"Jerry Stackhouse"	0.0541661
"Lee Nailon"	0.0541251
Bly	0.0534276
"Gheorghe Hagi"	0.0530678
"Shaun Alexander"	0.0527618
"Malik Sealy"	0.05246
phenoms	0.0523671
Briere	0.0523491
"Tim Duncan"	0.0522789
"Antawn Jamison"	0.0521202
"Dimitrius Underwood"	0.0520891
"Andre Rison"	0.0517606
"Kelvin Cato"	0.0516162
"Jin Ho Cho"	0.0515943
"Cade McNown"	0.0515523
"Hidetoshi Nakata"	0.0513867
"Brian Shaw"	0.0511973
cecil	0.0508167
"Akili Smith"	0.0508017
"Ron Mercer"	0.0506344
"Mario Edwards"	0.0504178
"Eric Metcalf"	0.0502584
"Kevin McGlinchy"	0.0500706
"Doc Rivers"	0.0496248
"Chris Drury"	0.0495084
"Cecil Collins"	0.0489221
"Shaun King"	0.0485768
"Mike Miller"	0.0484775
"Peter Warrick"	0.0484571
"Tyler Houston"	0.0482805
"Ephraim Salaam"	0.048255
"Matt Luke"	0.0481628
"Fan Zhiyi"	0.0479062
"Vince Carter"	0.0475887
"Matt Bullard"	0.0471809
"Marcus Fizer"	0.0468444
"Daunte Culpepper"	0.0467735
"Erubiel Durazo"	0.0465279
"Olli Jokinen"	0.0465142
"Joe Dumars"	0.0464806
"Tony Dorsett"	0.0463671
"Aaron Glenn"	0.0463098
"Aaron Williams"	0.0458216
"Yao Ming"	0.04558
"Peyton Manning"	0.0452459
"Kevin Williams"	0.0445773
"Manny Malhotra"	0.0445375
"Theo Ratliff"	0.0444886
"Jon Sim"	0.0444874
"Ed Yarnall"	0.0444732
"Ike Hilliard"	0.0444262
"Rafael Furcal"	0.044325
"Mitch Meluskey"	0.0443123
"Hristo Stoichkov"	0.0440478
"Toni Kukoc"	0.0439226
"Brock Huard"	0.0438952
"Adrian Griffin"	0.0437027
"Tony Battie"	0.0435907
"Peter Verniero"	0.0430463
"Brian Skinner"	0.0426265
"Brian Griese"	0.0426031
"Tyrone Nesby"	0.0425226
Croshere	0.0425171
"Dennis Johnson"	0.0422485
"Ma Lin"	0.042124
Hlavac	0.0419972
"Keith Van Horn"	0.0419099
"Richard Cheney"	0.04185
"Joe McEwing"	0.0417401
"Brent Barry"	0.0417382
"DeLisha Milton"	0.0417252
"Brett Hinchliffe"	0.0414866
pergola	0.041439
"Ryan Leaf"	0.0412356
"Randy Moss"	0.0411842
"Mike Lamb"	0.0411291
"Blake Sloan"	0.0409745
standouts	0.0408444
"Horace Grant"	0.0408183
"Buckshot Jones"	0.0406176
"Isiah Thomas"	0.0405893
"Bruce Chen"	0.0405825
))
("Al Hayat" (desc 3900.92) (sims
"Alam Al Yom"	0.494019
al-Hayat	0.411463
"Al Ahram"	0.371686
Al-Ahram	0.325703
"Business Day"	0.311406
"Gulf News"	0.310541
"Jakarta Post"	0.298155
"New Vision"	0.291048
"Ethiopian Herald"	0.290295
"East African Standard"	0.287054
"Kenya Times"	0.281884
"Khaleej Times"	0.268205
"Vietnam News"	0.266497
"Macao Daily News"	0.26586
Maariv	0.257989
"Zambia Daily Mail"	0.257398
Noticias	0.257396
"Turkish Daily News"	0.256229
"Iran News"	0.251837
"Daily Nation"	0.250838
"Sydney Morning Herald"	0.250711
"Jordan Times"	0.250511
"Tehran Times"	0.249777
"Moscow Times"	0.245901
"Jerusalem Post"	0.24572
Kommersant	0.245475
Haaretz	0.237555
"Bangkok Post"	0.236448
"Straits Times"	0.235011
"Egyptian Gazette"	0.234232
"Yediot Ahronot"	0.232167
"Thai News Agency"	0.230779
Sowetan	0.230586
"Kathmandu Post"	0.229418
"New Nigerian"	0.227914
"Indonesian Observer"	0.226793
Hurriyet	0.223688
"El Pais"	0.215561
"China Daily Business Weekly"	0.211881
"Daily Times"	0.211378
"Nihon Keizai"	0.211309
"The New Vision"	0.209321
"Daily Star"	0.207664
"El Mundo"	0.205547
"Ghana News Agency"	0.202554
"Daily Mail"	0.201912
"Business Times"	0.201453
"The Monitor"	0.199007
"South China Morning Post"	0.198099
"Financial Times"	0.197323
"New Light"	0.193179
"Le Figaro"	0.193072
"Post Express"	0.192341
"Zimbabwe News Agency"	0.19204
"Rwanda News Agency"	0.189801
"Le Monde"	0.189191
"Vietnam News Agency"	0.187799
Reforma	0.18622
"Nihon Keizai Shimbun"	0.186122
"Financial Mail"	0.185437
Bild	0.184953
"U.S. Labor Department"	0.184355
"Cyprus News Agency"	0.184351
Granma	0.182657
Politika	0.17475
"New Straits Times"	0.17238
"Radio Uganda"	0.171164
"Business Weekly"	0.169104
"Asahi Shimbun"	0.168854
"Australian Associated Press"	0.168326
"Kyodo News"	0.164906
"Daily Telegraph"	0.164001
Salam	0.161618
"Agence France Presse"	0.16153
"Ethiopian News Agency"	0.161483
"Yomiuri Shimbun"	0.160415
"Antara News Agency"	0.159586
L'Equipe	0.158893
"Korean Central News Agency"	0.157967
"Press Trust of India"	0.155994
"Philippine News Agency"	0.154549
Asahi	0.154107
WAM	0.153991
Sera	0.153281
Herald	0.15312
"Kyodo News Service"	0.152987
"Egyptian Middle East News Agency"	0.152351
Izvestia	0.151487
"Koha Ditore"	0.149471
Malaya	0.148964
MTI	0.148927
"Wenhui Daily"	0.148644
"Zambia News Agency"	0.148412
"Southern African Broadcasting Association"	0.14825
"Middle East News Agency"	0.146503
"Athens News Agency"	0.144611
"Guangming Daily"	0.144078
Tass	0.143887
"Saudi Press Agency"	0.142918
"Kuwait News Agency"	0.141506
"Washington Post"	0.141235
"Dow Jones Newswires"	0.140805
Angop	0.139424
"USA TODAY"	0.139136
KPL	0.138723
"Anatolia News Agency"	0.138681
"Islamic Republic News Agency"	0.137853
"East African"	0.13661
"Associated Press of Pakistan"	0.135821
Antara	0.13547
Al-Thawra	0.135412
Yomiuri	0.134594
"China Daily"	0.134284
"Daily News"	0.131276
"Iraqi News Agency"	0.130638
"Denver Post"	0.130143
Notimex	0.127861
Lusa	0.127408
"New York Post"	0.127007
Inquirer	0.126699
Ansa	0.126295
"China Youth Daily"	0.126027
"Beijing Daily"	0.125594
"News Agency of Nigeria"	0.12184
"South African Press Association"	0.12172
"Washington Times"	0.120945
"Dallas Morning News"	0.120941
BS	0.120889
"National Association of Realtors"	0.120101
"Statistics Canada"	0.119795
"International Business Daily"	0.119196
"Rodong Sinmun"	0.115843
"Wall Street Journal"	0.115625
Kyodo	0.1141
"Agence France-Presse"	0.11341
Tanjug	0.113402
"New York Daily News"	0.112854
Times	0.111025
"Der Spiegel"	0.11055
"Los Angeles Times"	0.110062
ATA	0.108616
Petra	0.107665
"British Broadcasting Corporation"	0.107458
"National Post"	0.1072
"Israel Radio"	0.107096
"Seattle Times"	0.106484
IRNA	0.106259
rainout	0.106239
"Beijing Youth Daily"	0.105032
"Nhan Dan"	0.104457
"United Press International"	0.104018
Bernama	0.103395
"U.S. Commerce Department"	0.101514
"Boston Herald"	0.100953
"Economic Daily"	0.100918
MENA	0.0991965
"Hang Seng China-Affiliated Corporations Index"	0.0981847
"Detroit News"	0.0980441
gazette	0.0967339
PTI	0.0966106
Eurostat	0.0958679
telegraph	0.0954135
RSS	0.0937026
Dominion	0.0898542
AFP	0.0893156
"New York Times"	0.0886935
"Australian Bureau of Statistics"	0.0878131
"Conference Board"	0.0858783
Anatolia	0.0858483
"press agency"	0.0846109
"Evening Standard"	0.0844935
"roll call"	0.0838312
SAPA	0.0836554
"Chicago Tribune"	0.0835673
"news agency"	0.0831367
"Commerce Department"	0.0830988
APA	0.0819189
NHK	0.0818163
Tous	0.0816575
"Philadelphia Inquirer"	0.080327
Interfax	0.0802371
"Information Center"	0.0802289
"Jerusalem Media and Communication Center"	0.0798932
"New England Journal"	0.0793253
CNA	0.0791798
NTV	0.0787811
"Detroit Free Press"	0.0781992
"Hartford Courant"	0.078119
"Central Bureau of Statistics"	0.0780066
"Press Trust"	0.0777621
ABS-CBN	0.0774779
Guardian	0.0767985
Babel	0.0764445
Itar-Tass	0.0763332
"San Francisco Chronicle"	0.0756941
"Austin American-Statesman"	0.0750155
"Xinhua News Agency"	0.0748198
"Miami Herald"	0.0743007
"Boston Globe"	0.0730315
Reuters	0.0729797
))
("Al Joyner" (desc 1195.8) (sims
"C.J Hunter"	0.203674
"Asif Ali Zardari"	0.196087
"Charles Austin"	0.186877
"Lin Li"	0.165095
"Michelle Smith"	0.160494
"Chen Lu"	0.156857
"Dan O'Brien"	0.155827
"Fu Mingxia"	0.155223
"Fatuma Roba"	0.154279
"Alexei Urmanov"	0.151742
"Marie-Jose Perec"	0.151427
"Oksana Kazakova"	0.151108
"Fiona May"	0.149072
"Wang Yifu"	0.148678
"Elena Berezhnaya"	0.13956
"Gary Hall"	0.138795
"David Reid"	0.138041
"Gary Hall Jr."	0.137375
"Kieren Perkins"	0.136049
"Svetlana Masterkova"	0.135029
"Alexei Nemov"	0.134309
"Liu Limin"	0.13414
"Florence Griffith Joyner"	0.134097
"Tom Dolan"	0.131908
"Thomas Stangassinger"	0.130389
"Jonathan Edwards"	0.129309
"Heike Drechsler"	0.127234
"Li Jiajun"	0.12606
"Penny Heyns"	0.124218
"Allen Johnson"	0.123657
"Derrick Adkins"	0.121953
"Amy van Dyken"	0.121351
"Daniel Kowalski"	0.121189
"Linford Christie"	0.119839
"Hiroyasu Shimizu"	0.118237
"Katarina Witt"	0.118018
"Deon Hemmings"	0.115732
"Rexy Mainaky"	0.115461
"Carl Lewis"	0.115011
"Shannon Miller"	0.113016
Hugh	0.112309
"Jenny Thompson"	0.112061
Ronald	0.111883
"Jearl Miles-Clark"	0.111302
"Claudia Poll"	0.111276
"Ricky Subagja"	0.110161
"Picabo Street"	0.10991
Phillip	0.104468
"Ivan Pedroso"	0.10418
"Gail Devers"	0.104174
"Felix Savon"	0.104105
"Dominique Moceanu"	0.101877
"Tara Lipinski"	0.10157
"John Godina"	0.100714
Gerald	0.100336
"Yu Zhuocheng"	0.0993822
"Randy Barnes"	0.0992142
"Alberto Tomba"	0.0978922
"Albert Pirro"	0.0965936
"Denis Pankratov"	0.0964109
Devers	0.0954007
"Brooke Bennett"	0.0952692
"Susie O'Neill"	0.095009
"Oksana Baiul"	0.0943534
"Deng Yaping"	0.0935645
"Dong Jiong"	0.0932794
Ernest	0.092976
Ralph	0.0928517
"Deborah Compagnoni"	0.0921187
"Hilde Gerg"	0.0919159
"Jackie Joyner-Kersee"	0.0916806
Walter	0.091061
"Rajiv Gandhi"	0.0897503
"Donovan Bailey"	0.0889594
"Susi Susanti"	0.0886433
Alan	0.0882909
"Prince Albert"	0.0875742
"Sandra Voelker"	0.0867174
"Svetlana Khorkina"	0.0867005
"Cathy Freeman"	0.0860332
"Katja Seizinger"	0.0852619
"Bobby Brown"	0.083801
"Maurice Greene"	0.0835376
"Maria Mutola"	0.0833054
"Wang Tao"	0.0832117
Sergei	0.0829404
"Liu Guoliang"	0.0828222
Carl	0.0827375
"Regina Jacobs"	0.0818804
"Frankie Fredericks"	0.0811918
"Irina Slutskaya"	0.0809927
"James McDougal"	0.0806553
Gus	0.0802834
Shuwei	0.0802453
"Michael Johnson"	0.0801052
Redgrave	0.0797894
"Javier Sotomayor"	0.0793731
"Alexander Popov"	0.0789077
"Michelle Kwan"	0.0786085
"Karch Kiraly"	0.0784292
Theodore	0.078379
"Irina Privalova"	0.0779565
"Marion Jones"	0.077795
"Earl Spencer"	0.0771626
"Bjarte Engen Vik"	0.0767217
Boldon	0.0757053
"Koji Ito"	0.07522
al-Tikriti	0.0750904
"Simona Amanar"	0.0746825
kayaker	0.0745148
"Marc Rosset"	0.0745007
Philip	0.0742096
"Chen Jing"	0.0740595
Maier	0.0739574
Steven	0.0724787
"Prabowo Subianto"	0.0721444
Jamie	0.0721245
"Dennis Mitchell"	0.071597
Russ	0.0714976
"Rashid Sidek"	0.0714913
Jorge	0.0713137
"Gianni Romme"	0.0712942
"Xiong Ni"	0.0707157
"Pernilla Wiberg"	0.0705055
Lipinski	0.0704969
Dominic	0.070376
"Tom Hayden"	0.0700127
Sautin	0.0694034
Bernhard	0.0682306
Samuel	0.0681468
"Marina Anissina"	0.0681308
"Hermann Maier"	0.067883
"Le Jingyi"	0.0673062
"Ge Fei"	0.0670295
Marty	0.0665854
Juan	0.0665538
"Nancy Kerrigan"	0.0665113
"Steve Jones"	0.0663203
"Mark Crear"	0.0657685
Edmund	0.0656574
"Elvis Stojko"	0.0654299
"Wang Junxia"	0.0652163
Evan	0.0651568
Hsu	0.0651114
Hans	0.064978
"Chen Hua"	0.0645194
"Bernard Shaw"	0.0644948
"Angelo Taylor"	0.0642294
"Haile Gebrselassie"	0.0640146
"Maria Butyrskaya"	0.0638648
"Paul Tergat"	0.0633858
Ken	0.063313
"Noureddine Morceli"	0.0632026
"Jennifer Capriati"	0.0629368
Wayne	0.0629343
Kenneth	0.0627678
Eduardo	0.0627324
"Dawn Staley"	0.0626509
Keith	0.0626081
"Merlene Ottey"	0.0625703
"Huang Xu"	0.0617331
"Bruny Surin"	0.0616497
"HANK KUEHNE"	0.0615153
Sidney	0.0614409
Roba	0.0614252
Raymond	0.0613404
Beatle	0.0611917
Ottey	0.0610924
"Chris Boardman"	0.0609967
Pirro	0.060967
lutz	0.060859
Baumann	0.0606616
Luis	0.0605071
"Susanthika Jayasinghe"	0.0603198
Tracey	0.0599261
J.J	0.0598919
Moseley	0.059373
"Michael Klim"	0.0593531
Donald	0.0586535
Kyle	0.0584883
"Azizah Ismail"	0.0583413
Louis	0.0581539
Ernie	0.0579286
Mario	0.0579031
Christie	0.0577608
Miguel	0.0576815
Felix	0.0576397
Eli	0.0575066
McGraw	0.0574948
Ron	0.0574572
"Yang Yang"	0.0572779
Popov	0.0571398
"Leander Paes"	0.0570681
Shriver	0.0568831
Andrei	0.0568664
"Shane Mosley"	0.0568262
"Ronald Perelman"	0.0568145
Edward	0.0568125
Abdul	0.0567705
salchow	0.0566551
))
("Al Leiter" (desc 8625.43) (sims
"Rick Reed"	0.226688
"Dennis Cook"	0.216095
"Mike Hampton"	0.211187
"John Franco"	0.209596
"Masato Yoshii"	0.208367
"Armando Benitez"	0.207149
"John Smoltz"	0.202906
"Kenny Rogers"	0.195688
"Turk Wendell"	0.191198
Leiter	0.19113
"Bobby Jones"	0.190988
"Orel Hershiser"	0.189063
"Hideo Nomo"	0.188639
"Shawn Estes"	0.188143
"Greg Maddux"	0.183455
"Omar Daal"	0.182316
"Jamie Moyer"	0.182305
"Denny Neagle"	0.17973
"Randy Johnson"	0.179284
"Andy Pettitte"	0.178948
"Shane Reynolds"	0.175492
"Kevin Brown"	0.174422
"Tom Glavine"	0.173688
"Armando Reynoso"	0.172614
"Jason Schmidt"	0.171553
"Rick Helling"	0.170054
"Kirk Rueter"	0.169461
"Kevin Millwood"	0.168869
"Steve Parris"	0.166725
"Eric Milton"	0.166665
"Curt Schilling"	0.166606
"David Cone"	0.164356
"Andy Ashby"	0.164342
"Chuck Finley"	0.163955
"Andy Benes"	0.163814
"Allen Watson"	0.162337
"Pedro Martinez"	0.162311
"Bret Saberhagen"	0.161263
"Jim Parque"	0.159905
"Sterling Hitchcock"	0.159753
"Russ Ortiz"	0.158475
"Brad Radke"	0.155778
"David Wells"	0.155541
"Bill Pulsipher"	0.154541
"Ramon Martinez"	0.153863
"Brian Moehler"	0.153574
"Jeff Fassero"	0.153269
"Brian Anderson"	0.151998
"Rich Rodriguez"	0.150651
"Roger Clemens"	0.150365
"Brian Bohanon"	0.149883
"Rey Ordonez"	0.149614
"Mike Piazza"	0.148657
"Chan Ho Park"	0.148121
"Pete Schourek"	0.147307
"Javier Vazquez"	0.146709
"Octavio Dotel"	0.146305
"Dwight Gooden"	0.146043
Millwood	0.144879
"Darren Oliver"	0.144671
"Todd Stottlemyre"	0.144017
"Bartolo Colon"	0.142902
"Terry Mulholland"	0.142
"Robin Ventura"	0.141518
"Justin Thompson"	0.141292
"Mike Mussina"	0.141178
"Jaret Wright"	0.139318
"Darryl Kile"	0.13931
"Mike Sirotka"	0.13926
"Steve Avery"	0.138497
"Dustin Hermanson"	0.138472
"Jon Lieber"	0.138403
"Jesus Sanchez"	0.137297
"Jose Lima"	0.13691
"Billy Wagner"	0.136798
"Pete Harnisch"	0.136494
"Mark Gardner"	0.136293
"Sean Bergman"	0.135901
"Alex Fernandez"	0.135584
Yoshii	0.135517
"Carlos Perez"	0.135446
"John Halama"	0.134249
"Woody Williams"	0.134036
"Kent Mercker"	0.133731
Maddux	0.133599
"Orlando Hernandez"	0.13313
"Tom Candiotti"	0.132483
Bottenfield	0.131406
"Scott Karl"	0.131344
"Mark Langston"	0.131297
"Hideki Irabu"	0.130953
"Odalis Perez"	0.12936
"Gil Heredia"	0.127989
"Greg Swindell"	0.127471
"Willie Blair"	0.126435
Smoltz	0.126353
"Aaron Sele"	0.126212
"Darren Dreifort"	0.125842
Glavine	0.125487
"Wilson Alvarez"	0.125255
"Pat Mahomes"	0.125006
"Ron Villone"	0.124104
"Kevin Tapani"	0.123998
"Kent Bottenfield"	0.123631
"Arthur Rhodes"	0.123484
"Mark Clark"	0.123146
"Steve Trachsel"	0.122821
"Mike Remlinger"	0.122012
Sele	0.121835
"Bruce Chen"	0.120302
"Brett Tomko"	0.120242
"Tim Belcher"	0.119938
"Rolando Arrojo"	0.119598
"Mike Stanton"	0.119571
"Dave Mlicki"	0.119512
"BRIAN MEADOWS"	0.118941
Hershiser	0.118373
"Randy Myers"	0.118248
"Pedro Astacio"	0.11762
"Chris Carpenter"	0.117546
"Mark Petkovsek"	0.1171
"Shigetoshi Hasegawa"	0.116223
"Pat Rapp"	0.1147
"Jeff Weaver"	0.114498
"Jesse Orosco"	0.114451
"Alan Embree"	0.11387
"Trevor Hoffman"	0.113746
Radke	0.113632
"Jamey Wright"	0.11292
"Kevin Appier"	0.112883
"Rheal Cormier"	0.112406
Harnisch	0.112228
"Pat Hentgen"	0.112072
"Scott Elarton"	0.111932
"Mariano Rivera"	0.111867
"Charles Nagy"	0.111817
"STEVE WOODARD"	0.111637
"Sidney Ponson"	0.111523
"John Snyder"	0.111169
"Livan Hernandez"	0.111152
"Darryl Hamilton"	0.111147
Burkett	0.111102
Nomo	0.110441
"Matt Morris"	0.110418
Eldred	0.110203
"Dave Burba"	0.110171
"Todd Hundley"	0.110158
Reynoso	0.109721
"John Burkett"	0.109701
"Paul Byrd"	0.109544
Irabu	0.109446
"Robb Nen"	0.109382
Neagle	0.109156
Helling	0.108335
"Jose Mesa"	0.108282
"Chris Holt"	0.108279
Benes	0.108233
"Francisco Cordova"	0.10796
"Tim Wakefield"	0.107344
Clemens	0.107301
"Rod Beck"	0.107197
"Bryce Florie"	0.107164
"Rich Garces"	0.106798
"Mark Portugal"	0.106574
Dreifort	0.106523
"Paul Abbott"	0.106342
"Jason Christiansen"	0.105303
"DOUG JONES"	0.104852
"Scott Erickson"	0.104597
"Pedro Borbon"	0.104536
"Omar Olivares"	0.104229
Daal	0.104107
"Joey Hamilton"	0.10403
"Carl Pavano"	0.103886
Nagy	0.10378
"Gregg Olson"	0.10361
"Mike Magnante"	0.103431
"Paul Spoljaric"	0.1031
"Todd Zeile"	0.10308
"Esteban Loaiza"	0.102538
"James Baldwin"	0.102229
"Tim Hudson"	0.101451
Rusch	0.101211
Schilling	0.100729
Loaiza	0.100514
"Greg McMichael"	0.100349
"Ken Hill"	0.100269
"Mike Morgan"	0.100251
Ankiel	0.0997642
Dotel	0.099738
Fassero	0.099458
"Mike Venafro"	0.0991875
"Jason Isringhausen"	0.0991223
Kile	0.0985415
Dempster	0.0984698
"Bobby Bonilla"	0.0983724
"Jason Bere"	0.0979811
Mercker	0.0978834
"Freddy Garcia"	0.0976799
"Rickey Henderson"	0.0975199
))
("Al Levine" (desc 1923.5) (sims
"Mark Petkovsek"	0.447451
"Jason Dickson"	0.326712
"Ramon Ortiz"	0.316629
"Shigetoshi Hasegawa"	0.315559
"Russ Springer"	0.299789
"Scott Schoeneweis"	0.294216
"Brian Cooper"	0.283903
"Jarrod Washburn"	0.271567
"Brett Hinchliffe"	0.263249
"Tim Crabtree"	0.258191
"Seth Etherton"	0.251561
"Kent Mercker"	0.251144
"Mike Holtz"	0.248522
"Bryce Florie"	0.225656
"Kent Bottenfield"	0.216898
"Ryan Glynn"	0.213632
"Robinson Checo"	0.212792
"Danny Patterson"	0.208508
"John Burkett"	0.207778
"Steve Sparks"	0.207098
"Byung-Hyun Kim"	0.206491
"Pat Mahomes"	0.205852
"Antonio Osuna"	0.205791
"Mac Suzuki"	0.203042
"Troy Percival"	0.202601
"Matt Herges"	0.199691
"Omar Olivares"	0.19893
"Woody Williams"	0.194246
"Mike Morgan"	0.192508
"Paul Abbott"	0.191882
"Brett Tomko"	0.191539
"Tim Belcher"	0.191499
"John Wasdin"	0.190992
"Mike Fetters"	0.190266
"Jamie Arnold"	0.188863
"John Hudek"	0.188377
"Ramiro Mendoza"	0.186681
"Kevin Tapani"	0.185967
"Matt Mantei"	0.184078
"Scott Karl"	0.184037
"Scott Williamson"	0.182859
"Paul Shuey"	0.181844
"Ken Hill"	0.180515
"Gregg Olson"	0.178527
"Jason Isringhausen"	0.178408
"Jeff Zimmerman"	0.176329
"Matt Morris"	0.174828
"DOUG JONES"	0.17405
"Frankie Rodriguez"	0.173832
"Terry Adams"	0.172861
"Gil Heredia"	0.172539
"Matt Perisho"	0.17232
"Mike Judd"	0.172273
"Esteban Loaiza"	0.17215
"Alan Embree"	0.171814
"Mike Magnante"	0.1717
"Steve Parris"	0.171373
"Octavio Dotel"	0.171371
"Eric Gunderson"	0.17128
"Willie Blair"	0.170951
"Mark Portugal"	0.170748
"Jeff Nelson"	0.170372
"Mark Leiter"	0.170227
"Vladimir Nunez"	0.168921
"Mark Gardner"	0.16879
"Alex Fernandez"	0.168772
"Jack McDowell"	0.167377
"Danny Graves"	0.165636
"Ryan Dempster"	0.165503
"Mark Clark"	0.165221
"Ricky Bottalico"	0.164154
"Darren Holmes"	0.163584
"Armando Reynoso"	0.162975
"Rudy Seanez"	0.162485
"Mike Timlin"	0.16183
"Pat Rapp"	0.161491
"Allen Watson"	0.161026
"Mike Venafro"	0.160691
"Turk Wendell"	0.16064
"Paul Spoljaric"	0.159833
"Heathcliff Slocumb"	0.159807
"Dave Mlicki"	0.159009
"Andy Benes"	0.158283
"Ken Cloude"	0.157939
"Russ Ortiz"	0.157939
"Paul Byrd"	0.157038
"Brian Moehler"	0.156598
"Jay Powell"	0.156586
"Tom Candiotti"	0.156443
"Scott Sullivan"	0.155255
"Doug Davis"	0.154641
"Ron Villone"	0.15463
"Brad Radke"	0.154594
"Mike Williams"	0.154463
"Brian Bohanon"	0.15375
"Dustin Hermanson"	0.153705
"Scott Elarton"	0.152617
"Jason Bere"	0.150292
"Freddy Garcia"	0.149641
"Masato Yoshii"	0.148834
"Chris Carpenter"	0.148629
"Mark Langston"	0.148045
"Jose Paniagua"	0.147917
"Donne Wall"	0.147843
"Brian Rose"	0.147704
"Jose Jimenez"	0.147544
"Carl Pavano"	0.14737
"Alan Mills"	0.147296
"Rick White"	0.147016
"Mike Stanton"	0.146776
"Jason Christiansen"	0.146567
"Rick Aguilera"	0.146106
"Todd Jones"	0.145734
"Robb Nen"	0.145716
"Gil Meche"	0.145558
"Bob Wickman"	0.145058
"Greg McMichael"	0.144671
"Terry Mulholland"	0.14307
"Jaret Wright"	0.143033
"Kerry Ligtenberg"	0.142941
Mahomes	0.142815
"Randy Myers"	0.142729
"Francisco Cordova"	0.14196
"Francisco Cordero"	0.141147
"Pat Hentgen"	0.140119
"John Snyder"	0.139774
"Scott Erickson"	0.139351
"Dave Burba"	0.139097
"Javier Vazquez"	0.138425
"Todd Stottlemyre"	0.13821
"Pete Harnisch"	0.137921
"Jon Lieber"	0.137728
"Billy Taylor"	0.137531
"Jamey Wright"	0.13747
"Derek Lowe"	0.137316
"Jim Parque"	0.136952
"Rich Rodriguez"	0.136938
"John Halama"	0.136625
"BRIAN MEADOWS"	0.136178
"Joey Hamilton"	0.135309
Pavano	0.135114
"Aaron Sele"	0.133973
"Rick Helling"	0.133834
"Armando Benitez"	0.133804
"Jesus Sanchez"	0.133625
"Doug Henry"	0.133237
"John Wetteland"	0.133183
"Kevin Appier"	0.133156
"Bill Pulsipher"	0.131519
"Jason Schmidt"	0.131435
"Chris Holt"	0.131399
"Jose Mesa"	0.130802
"Jeff Brantley"	0.130199
"Jeff Weaver"	0.129734
"Dwight Gooden"	0.129635
"Kevin McGlinchy"	0.129379
"Jason Grimsley"	0.129101
"Dennis Martinez"	0.128829
"Greg Swindell"	0.128762
"Ramon Martinez"	0.128634
"STEVE WOODARD"	0.12845
"Jim Corsi"	0.128294
"Mike Remlinger"	0.128172
"Chuck McElroy"	0.127873
"Kirk Rueter"	0.127431
"Scott Radinsky"	0.125777
"Chan Ho Park"	0.125599
"Rich Garces"	0.125584
"Ugueth Urbina"	0.125278
"Sidney Ponson"	0.12509
"Pedro Borbon"	0.124904
"Eric Milton"	0.124458
"Bruce Chen"	0.123732
"Chuck Finley"	0.123373
Harnisch	0.123198
"Eric Gagne"	0.122432
"Shane Reynolds"	0.12235
"Darryl Kile"	0.122346
"Tim Wakefield"	0.12217
"Mike Sirotka"	0.121536
"Kevin Millwood"	0.120201
"Dan Miceli"	0.11973
"Rick Reed"	0.119102
"Rolando Arrojo"	0.118982
"Brian Anderson"	0.118243
"Bartolo Colon"	0.117502
"Ismael Valdes"	0.116713
"Bret Saberhagen"	0.116709
"Charles Nagy"	0.116615
"Rod Beck"	0.116122
"Steve Trachsel"	0.115694
"Steve Avery"	0.11553
"Jesse Orosco"	0.115505
"Kazuhiro Sasaki"	0.114307
"Dennis Cook"	0.113227
"Hideo Nomo"	0.11275
"Bobby Jones"	0.112713
"Darren Dreifort"	0.112578
"Mel Rojas"	0.112331
"Jeff Shaw"	0.112216
"Arthur Rhodes"	0.112145
"Pedro Astacio"	0.11209
"Juan Guzman"	0.110807
Tapani	0.11034
"Darren Oliver"	0.109292
"Mariano Rivera"	0.108577
"Brian Williams"	0.107662
"Orel Hershiser"	0.107274
"Onan Masaoka"	0.106941
"Shawn Estes"	0.106758
"Billy Wagner"	0.106237
"Mike Mussina"	0.105801
"Jamie Moyer"	0.105732
"Hideki Irabu"	0.10493
"James Baldwin"	0.10442
"Brad Penny"	0.10435
"Tim Hudson"	0.104227
"John Franco"	0.104005
"Tom Gordon"	0.103576
"Livan Hernandez"	0.1035
"Pete Schourek"	0.102753
"Trevor Hoffman"	0.101596
"Orlando Hernandez"	0.101384
"Odalis Perez"	0.101382
Dempster	0.101284
"Jeff Fassero"	0.101115
))
("Al MacInnis" (desc 2770.7) (sims
"Chris Pronger"	0.263045
"Pavol Demitra"	0.249469
"Paul Coffey"	0.170902
"Grant Fuhr"	0.148624
"Mattias Norstrom"	0.146167
"Teppo Numminen"	0.143711
"Alexei Zhitnik"	0.139719
"Larry Murphy"	0.139187
"Rob Blake"	0.133744
"Vladimir Malakhov"	0.130836
"Kyle McLaren"	0.129517
"Pierre Turgeon"	0.129334
"Fredrik Olausson"	0.129308
"Chris Chelios"	0.125206
"Marty McSorley"	0.12189
"Don Sweeney"	0.12133
"Sergei Zubov"	0.120647
"Scott Stevens"	0.118769
"Doug Bodger"	0.116714
"Oleg Tverdovsky"	0.113055
"Sandis Ozolinsh"	0.112632
"Shawn Chambers"	0.112278
"Peter Forsberg"	0.109971
"Nicklas Lidstrom"	0.109457
"Garry Galley"	0.105591
MacInnis	0.105393
"Jyrki Lumme"	0.105048
"Brian Leetch"	0.104752
"Derian Hatcher"	0.103108
"Dave Manson"	0.102226
"Kirk Muller"	0.100474
"Lyle Odelein"	0.100036
"Bryan Berard"	0.0987487
"Darryl Sydor"	0.0987208
"Ray Bourque"	0.0983455
"Scott Niedermayer"	0.0978364
"Fernando Tatis"	0.0957649
"Aki Berg"	0.0946573
"Roman Turek"	0.0935921
"Richard Matvichuk"	0.0935726
"Teemu Selanne"	0.0902699
"Mark Recchi"	0.089205
"Peter Bondra"	0.0890332
"Mark Messier"	0.0886547
"Steve Duchesne"	0.0886144
"Eric Lindros"	0.0869321
"Jaromir Jagr"	0.0842768
"Brendan Shanahan"	0.0842552
"Ulf Samuelsson"	0.0833645
Selanne	0.082372
"Sean O'Donnell"	0.0805262
Samuelsson	0.077831
"Darren Van Impe"	0.077241
"Hao Haidong"	0.0767715
"Hal Gill"	0.0764
"Mike Vernon"	0.0755024
"Dave Andreychuk"	0.0751746
"Pavel Bure"	0.075119
"Kurt Warner"	0.0744588
"Adam Oates"	0.0743933
"Tom Barrasso"	0.0738272
"Ken Daneyko"	0.0737506
"Brett Hull"	0.0733839
"Joe Nieuwendyk"	0.0732458
Stumpel	0.0729971
"Craig Ludwig"	0.0721726
"Olaf Kolzig"	0.0718098
Leetch	0.0715554
PRONGER	0.0715436
"Brian Skrudland"	0.0714747
"Mathieu Schneider"	0.0698524
"Jamie Langenbrunner"	0.0698346
"Steve Yzerman"	0.0698236
"Joe Thornton"	0.0696944
"Doug Gilmour"	0.0688945
"Patrick Roy"	0.0677394
"Jose Jimenez"	0.067497
Andreychuk	0.0674823
Sundin	0.0666227
"Bobby Orr"	0.0659963
"Paul Kariya"	0.0659198
Lehtinen	0.0657376
Lafleur	0.0651559
"Guy Carbonneau"	0.0646519
"Stern John"	0.0638623
"Jere Lehtinen"	0.0625118
"Patrik Elias"	0.0624447
"Mike Jones"	0.0617435
"Alexander Mogilny"	0.0613421
"Benoit Hogue"	0.0608069
"Steve Heinze"	0.0605736
"Sergei Fedorov"	0.06045
"Steve Smith"	0.060306
"Gary Roberts"	0.0593422
"Chris Drury"	0.0589608
"Luc Robitaille"	0.0587772
"Bryant Young"	0.0587679
Zamorano	0.0586568
"Adam Deadmarsh"	0.0586304
"Greg Adams"	0.0574821
"Jim Edmonds"	0.0573001
Alfredsson	0.0571583
"Predrag Mijatovic"	0.0570661
Jagr	0.0566817
"John LeClair"	0.0560245
"Dmitri Khristich"	0.0559478
"Brian McBride"	0.0556708
"Blake Sloan"	0.0556107
Fedorov	0.0555574
"Hristo Stoichkov"	0.055341
"Mike Martz"	0.0552346
"Owen Nolan"	0.0551147
"Hu Weidong"	0.0550289
"Marshall Faulk"	0.054476
Laettner	0.0543275
Audette	0.0543051
"Simona Amanar"	0.0542182
"Rick Tocchet"	0.0541921
"A.P Indy"	0.0541557
Roenick	0.0540582
"Keith Tkachuk"	0.0537846
"Juha Ylonen"	0.0534332
"Mike Morgan"	0.0534176
"Jason Allison"	0.0530259
"Grant Hill"	0.0528989
"Jeremy Roenick"	0.0528583
"Sheryl Swoopes"	0.0527359
Lassiter	0.0526631
"Joe Sakic"	0.0526594
Lindros	0.0526194
"Li Na"	0.0523094
Lieberthal	0.0522439
"Ziggy Palffy"	0.0522172
"Phillip Cocu"	0.0521205
"Edgar Renteria"	0.0521113
"Nikki McCray"	0.0519916
Carbonneau	0.0519591
"Theo Fleury"	0.051532
"Robert Jarni"	0.0513641
defenseman	0.0512508
"Alexei Kovalev"	0.0512174
"Luis Hernandez"	0.0510981
"David Trezeguet"	0.05096
"J.D Drew"	0.0509466
"Tony Amonte"	0.050858
Recchi	0.0507024
Asprilla	0.0504927
"Bryan Smolinski"	0.0501059
"Bob Corkum"	0.0500577
"Tom Lampkin"	0.0496708
"Robbie Fowler"	0.049656
"Ulf Kirsten"	0.0495233
"Ron Francis"	0.0493099
"Alessandro Del Piero"	0.0492028
"Ray Ferraro"	0.0490677
Juninho	0.0490268
Artest	0.0489808
Smolinski	0.0487195
"Shannon MacMillan"	0.0486681
Sydor	0.048562
"Ray Lankford"	0.0484676
Kariya	0.0484511
"Dale Davis"	0.0482222
"Ed Belfour"	0.0478775
"Khodadad Azizi"	0.0477983
Suker	0.0476858
"Cliff Ronning"	0.0476604
"Miroslav Satan"	0.0475719
"Rob DiMaio"	0.0475669
"Juergen Klinsmann"	0.0475635
Nedved	0.0475248
Matthaeus	0.0474783
"Mats Sundin"	0.0470502
"Lisa Leslie"	0.0470399
Abdur-Rahim	0.0468459
"Chris Boardman"	0.0468418
Rucchin	0.046805
"Tara Snyder"	0.0466565
"Michael Finley"	0.0466062
"Roy Lassiter"	0.0465591
"Dwight Yorke"	0.046457
"Dallas Drake"	0.0464288
"Ryan Kealy"	0.0463571
"Jennifer Gillom"	0.0462244
"Emmanuel Petit"	0.0461903
Renteria	0.0461887
"Robert Prosinecki"	0.0461618
"Claudia Pechstein"	0.0461184
Ince	0.0461095
"Pat Verbeek"	0.0460731
"Tony Hrkac"	0.0458142
"Tamika Catchings"	0.0456937
Unser	0.04569
Longo	0.0456074
"Cynthia Cooper"	0.0455972
"Van Exel"	0.0455862
"Kristine Lilly"	0.0455726
"David Wesley"	0.0455696
Tkachuk	0.0455474
Burrell	0.0453149
))
("Al Martin" (desc 3121.66) (sims
"Luis Gonzalez"	0.265341
"Brian Giles"	0.260983
"Eric Owens"	0.256665
"Geoff Jenkins"	0.252689
"Jose Guillen"	0.249086
"Bruce Aven"	0.236573
"Brant Brown"	0.233843
"Quinton McCracken"	0.232934
"Rob Ducey"	0.226816
"John Vander Wal"	0.223016
"Ron Gant"	0.220879
"Danny Bautista"	0.217776
"Steve Finley"	0.215266
"Greg Vaughn"	0.207209
"Jeffrey Hammonds"	0.199393
"Matt Lawton"	0.19698
"Phil Nevin"	0.195621
"Shannon Stewart"	0.195174
"Rondell White"	0.194036
"Butch Huskey"	0.191843
"Rich Becker"	0.191147
"Carlos Beltran"	0.189454
"Pat Meares"	0.189378
"Bobby Higginson"	0.189082
"Dante Bichette"	0.187362
"Glenallen Hill"	0.186449
"B.J Surhoff"	0.185749
"Dmitri Young"	0.185468
"Gregg Jefferies"	0.185409
"Mark Kotsay"	0.184967
"Bobby Abreu"	0.184684
"Doug Glanville"	0.183915
"Quilvio Veras"	0.183861
"Bernard Gilkey"	0.183833
"Preston Wilson"	0.182191
"Rusty Greer"	0.181211
"Jason Kendall"	0.180571
"Lenny Harris"	0.180448
"Warren Morris"	0.180238
"Tom Goodwin"	0.179957
"Jay Bell"	0.179242
"Jon Nunnally"	0.17838
"Ray Lankford"	0.177578
"Mike Bordick"	0.176768
"Terrence Long"	0.176236
"Matt Luke"	0.173847
"Johnny Damon"	0.173011
"Mike Cameron"	0.172819
"Kevin Young"	0.172307
"Brian Hunter"	0.172287
"Chad Curtis"	0.171926
"Marquis Grissom"	0.17148
"Darryl Hamilton"	0.171415
"Stan Javier"	0.17069
"Reggie Sanders"	0.170258
"Darren Lewis"	0.17022
"Troy O'Leary"	0.169849
"David Bell"	0.169386
"Carlos Lee"	0.169199
"Luis Polonia"	0.169065
"Orlando Palmeiro"	0.168854
"Ellis Burks"	0.168402
"Marvin Benard"	0.168289
"David Dellucci"	0.1676
"Deivi Cruz"	0.166992
"Brady Anderson"	0.16621
"Ryan Klesko"	0.165405
"Karim Garcia"	0.16288
"Dave Martinez"	0.162573
"Richard Hidalgo"	0.161462
"Mark Grace"	0.15987
"Jose Hernandez"	0.159836
"Wil Cordero"	0.159348
"Henry Rodriguez"	0.159333
"Damon Buford"	0.157919
"Jay Buhner"	0.157696
"Andruw Jones"	0.157385
"Ray Durham"	0.156994
"Jason Varitek"	0.156537
"Lance Berkman"	0.156354
"Rickey Henderson"	0.154893
"Troy Glaus"	0.15468
"Todd Hollandsworth"	0.154539
"Kelly Stinnett"	0.154474
Rolen	0.153918
Cirillo	0.15306
"Bill Spiers"	0.152874
"Lance Johnson"	0.152186
"Paul Konerko"	0.152075
"Ron Coomer"	0.152055
"Darin Erstad"	0.151851
"Bubba Trammell"	0.151841
"Edgar Martinez"	0.151446
"CARLOS HERNANDEZ"	0.150704
"Matt Franco"	0.150608
"Todd Walker"	0.149713
"Otis Nixon"	0.149359
"Jay Payton"	0.149269
"Mark McLemore"	0.149261
"Tony Phillips"	0.149246
"Gerald Williams"	0.148886
"Shawn Green"	0.148387
"Jose Cruz Jr."	0.148229
"Richie Sexson"	0.148176
"Ruben Rivera"	0.147249
"Ricky Ledee"	0.146749
"Tony Batista"	0.146684
"Cliff Floyd"	0.145824
"Matt Stairs"	0.145474
"Roger Cedeno"	0.144313
"Mark Grudzielanek"	0.144049
"Edgar Renteria"	0.143566
"Daryle Ward"	0.143525
"Joe McEwing"	0.143521
"Tim Bogar"	0.143221
"Damian Jackson"	0.14313
"Jeff Conine"	0.142837
"Midre Cummings"	0.142667
"Lee Stevens"	0.142502
"Garret Anderson"	0.142172
"Gabe Kapler"	0.141676
Vidro	0.141512
"David Ortiz"	0.141465
"Jim Edmonds"	0.141207
"Trenidad Hubbard"	0.141152
"Paul O'Neill"	0.140874
"Darren Bragg"	0.140848
"Jason McDonald"	0.140642
"Delino DeShields"	0.140508
"Juan Encarnacion"	0.140424
"Ben Grieve"	0.14039
"Bret Boone"	0.140244
"Mike Sweeney"	0.139698
"Gary Sheffield"	0.139647
"Raul Ibanez"	0.13871
"Mickey Morandini"	0.138054
"Raul Mondesi"	0.137492
"Michael Tucker"	0.13744
"Andy Fox"	0.137154
"Jose Offerman"	0.136997
Karros	0.136719
"Eric Karros"	0.135999
"Fernando Vina"	0.135722
"Matt Williams"	0.134763
"Royce Clayton"	0.13463
Higginson	0.13432
"Jermaine Dye"	0.134216
"Magglio Ordonez"	0.134152
"Bill Mueller"	0.134002
"Craig Counsell"	0.133612
"Carl Everett"	0.133588
"Brian Jordan"	0.133567
"Trot Nixon"	0.133463
"Vladimir Guerrero"	0.132689
"Adrian Beltre"	0.132496
Renteria	0.132135
"Jeff Kent"	0.13213
"Moises Alou"	0.132113
"Enrique Wilson"	0.131565
"Jeromy Burnitz"	0.130982
"Ken Caminiti"	0.130893
"Cristian Guzman"	0.13032
"Scott Brosius"	0.130277
Lankford	0.130272
"Scott Rolen"	0.130126
"Corey Koskie"	0.129947
"Chris Widger"	0.129487
"Derrek Lee"	0.129306
"Edgardo Alfonzo"	0.128726
"Melvin Mora"	0.128494
"Tim Salmon"	0.128455
"Brian McRae"	0.128384
"Damian Miller"	0.127913
Bichette	0.12727
Aurilia	0.127262
Erstad	0.127111
"Walt Weiss"	0.126355
"Carlos Delgado"	0.12631
"Scott Spiezio"	0.126124
"David Segui"	0.126044
"Tony Womack"	0.1257
"Dean Palmer"	0.125454
"F.P Santangelo"	0.125091
"Barry Bonds"	0.125012
"John Mabry"	0.124825
"Damion Easley"	0.12477
"Kenny Lofton"	0.124717
"Joe Carter"	0.124676
"Matt Walbeck"	0.124392
"Peter Bergeron"	0.124373
"John Valentin"	0.123579
"Randy Velarde"	0.123065
Alfonzo	0.12232
"Jeff Cirillo"	0.12224
"Keith Lockhart"	0.12215
"Joe Randa"	0.1221
"Devon White"	0.121754
"Benny Agbayani"	0.121338
"Jorge Fabregas"	0.120852
"Ozzie Guillen"	0.120399
"Shawon Dunston"	0.120288
"Russ Davis"	0.120171
"Tony Eusebio"	0.119862
"Neifi Perez"	0.119211
"Adam Kennedy"	0.11893
"Luis Castillo"	0.118812
"Dan Wilson"	0.118702
Tejada	0.118699
"Ed Sprague"	0.118295
"J.T Snow"	0.118254
Fullmer	0.118238
"Marty Cordova"	0.117632
Guzman	0.11703
"J.D Drew"	0.116994
"GERONIMO BERROA"	0.116559
"Roberto Kelly"	0.116466
McGriff	0.116032
"Russ Johnson"	0.115969
"John Olerud"	0.11567
"Javy Lopez"	0.115646
"Rico Brogna"	0.115609
"Matt Mieske"	0.114821
"Jeremy Giambi"	0.114586
"Travis Fryman"	0.114431
Grudzielanek	0.113317
"Tino Martinez"	0.112663
"Luis Alicea"	0.112188
"Joey Cora"	0.112074
"Bobby Bonilla"	0.112061
Gant	0.111968
"Frank Thomas"	0.11192
"Charlie Hayes"	0.111621
"Paul Bako"	0.111479
"Chuck Knoblauch"	0.111159
DeShields	0.110587
"Vinny Castilla"	0.110246
"Mark Loretta"	0.110008
"Mike Stanley"	0.109768
"Kevin Stocker"	0.10964
Nevin	0.109514
Olerud	0.10939
"Francisco Cordova"	0.109309
"Andy Sheets"	0.108793
"Miguel Cairo"	0.108616
"Bengie Molina"	0.108564
"Pat Burrell"	0.108538
"Tony Gwynn"	0.108506
"Travis Lee"	0.108487
Burnitz	0.108284
"Fred McGriff"	0.108224
"Brian Daubach"	0.107483
Mabry	0.10731
Cordero	0.1068
"Jose Valentin"	0.106557
"Roberto Alomar"	0.106441
Agbayani	0.106325
Bordick	0.105822
"Dave Hansen"	0.105798
"Miguel Tejada"	0.105714
Batista	0.105601
"Mike Lamb"	0.105395
Sexson	0.105385
"Eric Davis"	0.105081
Valentin	0.104561
Velarde	0.104025
"Ivan Rodriguez"	0.103946
"Larry Walker"	0.103638
"Bernie Williams"	0.103573
"Shane Spencer"	0.103423
"Jeff Bagwell"	0.103311
"Jorge Posada"	0.102922
Ausmus	0.102835
"Chili Davis"	0.102318
Abreu	0.102291
"Chipper Jones"	0.102034
"Wally Joyner"	0.102012
"Todd Pratt"	0.101986
Glaus	0.101943
Javier	0.101696
"Eddie Taubensee"	0.101574
"Mike Lansing"	0.101425
Baerga	0.101361
"Derek Bell"	0.100842
"Manny Alexander"	0.100709
"Alex Rodriguez"	0.100405
McLemore	0.100388
"Jim Leyritz"	0.100195
"Craig Biggio"	0.100059
))
("Al Michaels" (desc 2682.43) (sims
"Vin Scully"	0.232306
"Marv Albert"	0.152366
Michaels	0.13089
"Chris Berman"	0.130164
"Bob Costas"	0.108785
"Dennis Miller"	0.105921
"Frank Gifford"	0.0963035
"Boomer Esiason"	0.0862634
"Pat Summerall"	0.0854963
"Lynn Swann"	0.0725559
"Matt Lauer"	0.0719887
"Katie Couric"	0.0662971
"Dan Dierdorf"	0.0659388
"Keith Olbermann"	0.0651891
"Eric Dickerson"	0.0611933
"radio announcer"	0.0610185
Russert	0.0585069
Bradshaw	0.0580132
"Lou Dobbs"	0.0561471
"Bryant Gumbel"	0.0561463
"Joe Morgan"	0.0556825
"Don Sutton"	0.0518355
"Jim Gray"	0.050919
"Phil Simms"	0.0495551
"Charles Gibson"	0.0493694
"Ted Koppel"	0.0491476
"Michael Booker"	0.0486528
"Joe Namath"	0.0480297
"Vince McMahon"	0.0477354
"James Brown"	0.0473886
cager	0.0471414
"Walter Cronkite"	0.0451425
"Dan Marino"	0.0450799
"Diane Sawyer"	0.0447208
"Tony Graziani"	0.0444933
"Jack Smith"	0.0437957
alderman	0.0436168
Bartholomew	0.0428132
"Damon Huard"	0.0427668
"Jim Corsi"	0.0425003
"Sam Donaldson"	0.0422866
"Jim Kelly"	0.0414989
"Koji Ito"	0.0414691
"Russ Springer"	0.040961
"Jose Paniagua"	0.0409065
paddler	0.0404283
"John Madden"	0.040428
"Tim Brown"	0.0403483
"Brandon Mitchell"	0.0402465
"Tim Dwight"	0.0402176
))
("AL PACINO" (desc 5958.78) (sims
"James Woods"	0.156674
"Kevin Costner"	0.1448
"Harrison Ford"	0.143924
"Jason Alexander"	0.139951
"Robert Redford"	0.13913
"Faye Dunaway"	0.138439
"Jamie Foxx"	0.130933
"Julia Roberts"	0.12803
"Matt Damon"	0.121607
"Tom Cruise"	0.118795
"Natasha Richardson"	0.117084
"Cameron Diaz"	0.114508
"Jack Nicholson"	0.114239
"Meryl Streep"	0.114173
"Richard Gere"	0.109065
"Winona Ryder"	0.108798
"Dustin Hoffman"	0.106488
"Leonardo DiCaprio"	0.105939
"Marlon Brando"	0.104031
"Clint Eastwood"	0.103983
"Paul Newman"	0.103724
"Gene Hackman"	0.103109
"Nicolas Cage"	0.103102
"Billy Crystal"	0.101358
"Martin Scorsese"	0.100128
"Steve McQueen"	0.100032
"Robert de Niro"	0.0999841
"Tom Hanks"	0.0997392
"Sean Connery"	0.0972427
"Jimmy Stewart"	0.0969199
"Glenn Close"	0.0965704
"John Travolta"	0.0950518
"Robert DeNiro"	0.0947229
"Gwyneth Paltrow"	0.0939034
"Arnold Schwarzenegger"	0.0928329
"James Dean"	0.0926248
"Warren Beatty"	0.0919952
"Shirley MacLaine"	0.0910767
"John Cusack"	0.090937
"Sylvester Stallone"	0.090095
"Ethan Hawke"	0.0896196
"Jodie Foster"	0.0893937
"Meg Ryan"	0.0888049
"Kevin Kline"	0.0881671
"Denzel Washington"	0.0877712
"Robin Williams"	0.0873
"Sarah Jessica Parker"	0.0863905
"Wesley Snipes"	0.0857793
"Jon Voight"	0.085002
"Burt Lancaster"	0.0845604
"Mel Gibson"	0.084344
"Brad Pitt"	0.084267
"Russell Crowe"	0.0834573
"Bruce Willis"	0.0829309
"Harvey Keitel"	0.0826396
"Dennis Quaid"	0.0814582
"Anthony Hopkins"	0.0808618
"Vanessa Redgrave"	0.080749
"Demi Moore"	0.0806159
"Michael Douglas"	0.0806092
Pacino	0.0801746
"Humphrey Bogart"	0.0797841
"Drew Barrymore"	0.0796398
"Will Smith"	0.0791906
"Goldie Hawn"	0.0788124
"Calista Flockhart"	0.0783019
"Kevin Spacey"	0.0781777
"Barbra Streisand"	0.0778536
"Michael Caine"	0.0774764
"Sidney Poitier"	0.0774259
"Cate Blanchett"	0.0771894
"Sandra Bullock"	0.0769096
"James Stewart"	0.0767709
"Samuel L. Jackson"	0.0766475
"Cuba Gooding Jr."	0.0766386
"Kim Basinger"	0.0765904
"Annette Bening"	0.0765791
"Adam Sandler"	0.0765124
Costner	0.0764893
"Jim Carrey"	0.0758571
"Ed Harris"	0.0758163
"Eddie Murphy"	0.0758146
"Ralph Fiennes"	0.0757674
"Mike Myers"	0.0751943
"Kathleen Turner"	0.0746591
"Ted Danson"	0.0739845
"George Clooney"	0.0739111
"Jeremy Irons"	0.072919
"Woody Allen"	0.0728974
"Johnny Depp"	0.0725642
"Ben Affleck"	0.0723941
"Tommy Lee Jones"	0.0722589
"Bill Murray"	0.0715005
"Keanu Reeves"	0.0714454
"Ian McKellen"	0.0714327
"Roberto Benigni"	0.070791
"Christopher Walken"	0.0707246
"Ben Stiller"	0.0703939
"Chevy Chase"	0.0701732
"Richard Dreyfuss"	0.0696267
"Chow Yun-Fat"	0.069527
"Jimmy Smits"	0.069419
"Kenneth Branagh"	0.069296
"Robert Duvall"	0.0690847
"Elizabeth Taylor"	0.0690756
"Matthew Broderick"	0.0685748
"Kirsten Dunst"	0.0684593
"Pierce Brosnan"	0.0683482
"Orson Welles"	0.0682463
"Katharine Hepburn"	0.0682321
"Edward Norton"	0.0680942
"Alec Baldwin"	0.0674245
"Bette Midler"	0.0664666
"James Caan"	0.0661933
"Christian Slater"	0.0661617
"Judi Dench"	0.0660397
"Hilary Swank"	0.0659646
"Hugh Grant"	0.0656643
"Julie Andrews"	0.0654957
"Catherine Deneuve"	0.0654291
"Steve Martin"	0.0651139
"Marilyn Monroe"	0.0641096
Travolta	0.0636343
"Martin Short"	0.0632884
"Charlton Heston"	0.0631386
"David Spade"	0.0628727
Broderick	0.062772
"Andre Braugher"	0.0623517
"Spike Lee"	0.0622027
"Holly Hunter"	0.0619663
"Jane Fonda"	0.061841
"Fred Astaire"	0.061516
DiCaprio	0.0613309
Spacey	0.0611971
"Burt Reynolds"	0.0604602
"Jackie Chan"	0.0600044
"Martin Sheen"	0.0599804
"Renee Zellweger"	0.059849
"Nathan Lane"	0.0596984
"James Van Der Beek"	0.0596256
"Vivien Leigh"	0.059353
"Jessica Lange"	0.0593421
"Ryan Phillippe"	0.0591693
"John Malkovich"	0.0591
"Rupert Everett"	0.0588257
"Sally Field"	0.0587888
"Jennifer Love Hewitt"	0.0586973
"Martin Lawrence"	0.0586141
"Helen Mirren"	0.0585955
"Jack Lemmon"	0.0584159
"Diane Keaton"	0.0579476
"Kevin Bacon"	0.0577834
"Susan Sarandon"	0.0577112
"John Wayne"	0.0574948
"Nicole Kidman"	0.0573734
"Sean Penn"	0.0570198
"Sela Ward"	0.0569921
"Danny DeVito"	0.0569682
"Michelle Pfeiffer"	0.0568182
"PHILIP SEYMOUR HOFFMAN"	0.0567557
"Bernadette Peters"	0.056611
Carrey	0.0565796
"Stanley Tucci"	0.0564714
"Halle Berry"	0.0563285
"Tom Selleck"	0.0561148
"Juliette Lewis"	0.0560347
"Matthew McConaughey"	0.0559635
"Ian Holm"	0.055689
"Jay Mohr"	0.0554778
"Garry Shandling"	0.0554001
"Kirk Douglas"	0.055383
"Angelina Jolie"	0.0551219
"Ewan McGregor"	0.0548611
"Henry Fonda"	0.0548264
"Mike Nichols"	0.0548138
"Bette Davis"	0.0544641
"Kate Winslet"	0.0543669
"Charlize Theron"	0.0540055
"Dennis Hopper"	0.0538243
"Rene Russo"	0.0537859
Schwarzenegger	0.0537637
"Liam Neeson"	0.0535211
"Geoffrey Rush"	0.0534214
"Nick Nolte"	0.0533648
"John Goodman"	0.0532845
Matthau	0.0530399
"bit part"	0.0528966
"Cary Grant"	0.0528319
"Rob Lowe"	0.052615
"Lethal Weapon"	0.0524171
"Albert Brooks"	0.0522135
"Jeff Daniels"	0.0520054
"Helen Hunt"	0.0520049
"James Cagney"	0.0516412
"Bob Hope"	0.0512398
"Spencer Tracy"	0.0511264
"Lana Turner"	0.0510484
"Sharon Stone"	0.0507564
"Billy Bob Thornton"	0.0505689
"Walter Matthau"	0.0503792
))
("Al Sharpton" (desc 6844.5) (sims
Sharpton	0.210931
"Jesse Jackson"	0.162913
"Martin Luther King III"	0.126325
"Harry Wu"	0.116784
"Jerry Falwell"	0.110225
"Julian Bond"	0.105741
"Xu Wenli"	0.0991422
"Wei Jingsheng"	0.0962684
"Louis Farrakhan"	0.0941865
Maddox	0.0938497
"Pat Robertson"	0.091527
Rais	0.0901702
"Ralph Reed"	0.0892732
"Ken Saro-Wiwa"	0.0889506
"Jose Ramos-Horta"	0.0888571
"Charles Rangel"	0.083759
"Gary Bauer"	0.0808659
"Ian Paisley"	0.080698
Bruton	0.0805798
Abdel-Meguid	0.0796598
Husseini	0.0791807
Ruehe	0.0749702
Soyinka	0.074494
"James Dobson"	0.0743346
"Adem Demaci"	0.0741964
"Tom Hayden"	0.0732197
Aliev	0.072942
"George E. Pataki"	0.0727551
"Ward Connerly"	0.0723139
Zhirinovsky	0.0720003
Meguid	0.0715684
"Richard Blumenthal"	0.0704872
"Chief Executive Tung Chee-hwa"	0.0696542
Bauer	0.069494
"Rosa Parks"	0.0683896
"Sam Rainsy"	0.0682294
"Abbie Hoffman"	0.0681585
"civil rights leader"	0.0671155
Khamenei	0.0663864
Klima	0.0661245
Gusmao	0.0656483
Montiel	0.0653098
"Wang Youcai"	0.0652319
"Ted Kennedy"	0.0652154
Farrakhan	0.0650727
"Carolyn Maloney"	0.0650704
Caddell	0.0649473
Sumaye	0.0642923
Luong	0.0639782
"Dick Gephardt"	0.0633047
"George Speight"	0.063175
Bishara	0.0631633
Gargan	0.0629121
Pelosi	0.0628998
Berisha	0.0627723
Seleznyov	0.0625242
"Hanan Ashrawi"	0.0623722
"Secretary General Esmat Abdul-Meguid"	0.0622534
"Rahm Emanuel"	0.0618057
"Charles Schumer"	0.0609908
Saleh	0.0609884
NAACP	0.0608671
Shevardnadze	0.0607252
"Andrew Young"	0.0605645
"Billy Graham"	0.0604907
"Martin Lee"	0.060392
"Ralph Nader"	0.0600953
"John Lewis"	0.0600579
Gutman	0.059863
Granic	0.0596584
Brittan	0.0591289
Klestil	0.0590771
Mandelson	0.0589905
Guterres	0.058847
Scalfaro	0.0588293
"Congressional Black Caucus"	0.0588119
"Nancy Pelosi"	0.0586351
McCaffrey	0.0585847
D'Alessandro	0.058409
Stoyanov	0.0582866
"Marzuki Darusman"	0.0582482
"Lee Hsien Loong"	0.0582345
Muoi	0.058231
"Yossi Sarid"	0.0581022
Verney	0.0580858
Agca	0.0580552
"Martin Luther King Jr."	0.0580091
Jayakumar	0.0578782
"Secretary General Esmat Abdel-Meguid"	0.0576656
Levitt	0.0576496
Shays	0.0576422
"Ivan Kostov"	0.0575164
Ashrawi	0.0574666
Gramm	0.057397
Diouf	0.0573521
Councilman	0.0572826
"Martin Luther King"	0.0572698
"labor leader"	0.0572098
Jovanovic	0.0571171
"Wlodzimierz Cimoszewicz"	0.0570833
Camdessus	0.0569314
Gephardt	0.0563576
"Tim Fischer"	0.0563564
Nazarbayev	0.0563314
Leavitt	0.0562299
Bouteflika	0.0561263
Kabariti	0.0558576
Rangel	0.0558444
Riordan	0.0557561
"Mario Cuomo"	0.0556263
Feldman	0.0555098
Koirala	0.0554192
Menem	0.0553549
Ibrahim	0.0553465
"Maxine Waters"	0.055245
Djindjic	0.0552174
Luzhkov	0.0551632
Banharn	0.0551074
Abbas	0.0550287
Fieger	0.0550212
"George Pataki"	0.0547549
FALWELL	0.05461
Biden	0.0545257
Sharif	0.0544202
"Huang Ju"	0.05432
protestor	0.0542163
Sponeck	0.0541405
"Eric Holder"	0.0541336
Gurirab	0.0539963
Constantinescu	0.053899
"Archbishop Desmond Tutu"	0.0538947
congressmen	0.0538444
Yazdi	0.053537
"King Abdullah II"	0.053458
Ikeda	0.0533923
Deuba	0.0533458
"Vuk Draskovic"	0.0533327
Narayanan	0.0532936
"De Soto"	0.0532773
Chirac	0.0531637
"Vo Van Kiet"	0.0531156
Greenpeace	0.0529831
Rifkind	0.0529086
"Megawati Sukarnoputri"	0.0528528
"Speaker Ali Akbar Nateq-Nouri"	0.0528438
Mkapa	0.0527571
"Gro Harlem Brundtland"	0.0526915
"government officials"	0.0526055
Kharrazi	0.0525908
Xanana	0.0525007
"Khaleda Zia"	0.0524606
Sharansky	0.0524157
Sithole	0.0523785
Helms	0.0523371
"Colin Powell"	0.0523175
Berlusconi	0.0522202
Kuchma	0.0522159
"Valery Pustovoitenko"	0.0522155
Moratinos	0.0521637
Hybl	0.0521527
Nader	0.0520988
Vasile	0.0520792
Bulatovic	0.0519913
Marulanda	0.0519524
Alarcon	0.0519254
Kerasiotes	0.051911
Ahern	0.0519035
"trade unionist"	0.0518995
"Charles E. Schumer"	0.0517869
Nateq-Nouri	0.0517842
Barrionuevo	0.0517319
"Secretary General Boutros Boutros-Ghali"	0.0517246
Juppe	0.0515828
"Aung San Suu Kyi"	0.051578
Wolfensohn	0.0515135
Nujoma	0.0515026
Chissano	0.0514599
Einhorn	0.0513528
Goh	0.051336
"Hillary Rodham Clinton"	0.0513255
"Vladimir Zhirinovsky"	0.051225
Velayati	0.0512089
"religious leader"	0.0510931
"Gloria Steinem"	0.0510771
Zou	0.0509107
Rendell	0.0508139
Ikimi	0.0507945
Lafontaine	0.05063
Vallone	0.0504827
Poplasen	0.0504618
Koo	0.0504568
D'Alema	0.0504408
"Jeanne Shaheen"	0.0504182
"Rodney Slater"	0.0503142
Comptroller	0.0501679
Bildt	0.0501577
Speight	0.0501487
"Patrick Buchanan"	0.0500991
Azad	0.0500749
Cardenas	0.0500683
))
("Al Unser Jr." (desc 2632.41) (sims
"Bobby Rahal"	0.402147
"Christian Fittipaldi"	0.331778
"Alex Zanardi"	0.271265
"Michael Andretti"	0.268301
"Juan Montoya"	0.264559
"Eddie Cheever"	0.256038
"Paul Tracy"	0.251822
"Mario Andretti"	0.243502
"Scott Pruett"	0.2418
"Jimmy Vasser"	0.239305
"Robby Gordon"	0.228073
"Kenny Brack"	0.200688
"Dario Franchitti"	0.195626
"Bryan Herta"	0.193414
"Arie Luyendyk"	0.191696
"Adrian Fernandez"	0.191618
"A.J Foyt"	0.177016
"Max Papis"	0.165662
Unser	0.142954
Herta	0.124872
Zanardi	0.123214
"Ernie Irvan"	0.120883
"Ricky Rudd"	0.11869
"Greg Moore"	0.118549
"Buddy Lazier"	0.117899
Foyt	0.110952
"Jacques Villeneuve"	0.110822
Vasser	0.110522
"Terry Labonte"	0.110413
"Scott Sharp"	0.109055
"Winning Colors"	0.104979
"Mark Martin"	0.104395
"Darrell Waltrip"	0.104084
"Tony Stewart"	0.1038
"Rusty Wallace"	0.103565
"Greg Ray"	0.103402
"Billy Boat"	0.10061
"Colin McRae"	0.100367
"Jeff Gordon"	0.100142
Montoya	0.0993622
"Mike Skinner"	0.0991023
Rahal	0.0990517
"Matt Kenseth"	0.0976162
"Sam Schmidt"	0.0964037
"Damon Hill"	0.0951117
"Ken Schrader"	0.0939028
"Miguel Indurain"	0.0932591
"Ralf Schumacher"	0.0926141
"Dale Earnhardt"	0.0903317
"Dale Jarrett"	0.0897496
"Bill Elliott"	0.0887695
"Sterling Marlin"	0.0874716
"Dale Earnhardt Jr."	0.0857989
Franchitti	0.0852989
"Paul Tergat"	0.0848609
"Kyle Petty"	0.0847727
"Ivan Ivankov"	0.0832174
"Thomas Stangassinger"	0.081486
"Jimmy Spencer"	0.0806636
"John Vanbiesbrouck"	0.0803854
"Johnny Miller"	0.0802511
"Michael Schumacher"	0.0790388
"Koji Ito"	0.0786592
Sainz	0.078628
"Bjorn Borg"	0.0784695
"Blaine Wilson"	0.0779728
Andretti	0.077752
Tracy	0.0776928
"Hu Weidong"	0.0771896
"Wang Tao"	0.077106
"Richard Petty"	0.076968
"Jeremy Mayfield"	0.0766906
"Didier Auriol"	0.0763279
"Katja Seizinger"	0.0762771
"Nick Faldo"	0.0761301
"Michael Doohan"	0.0760054
"Nancy Lopez"	0.0759461
"MIka Hakkinen"	0.0757698
"Peter Rasmussen"	0.0755647
"Kenny Irwin"	0.0753991
"Joe Nemechek"	0.0751809
"Oliver McCall"	0.0751082
"Scott Goodyear"	0.0749619
"Billie Jean King"	0.0747205
"Steve Park"	0.0746308
"Earnhardt Jr."	0.0745869
"Moses Tanui"	0.0739826
"Michael Stich"	0.0739813
"Heinz-Harald Frentzen"	0.0738764
"Olin Browne"	0.073634
"Laurent Jalabert"	0.0727186
"Christine Arron"	0.0723592
"Doug Walker"	0.0720057
Bruguera	0.0713571
"Marco Pantani"	0.0712492
"Johnny Tapia"	0.0711635
"Jeff Burton"	0.0705782
Malek	0.0704524
"Wally Dallenbach"	0.0703883
"Boris Becker"	0.0701377
"Carlos Sainz"	0.0700502
"Todd Bodine"	0.0700012
"Bobby Labonte"	0.0698541
"Lee Janzen"	0.0697578
"Steve Elkington"	0.0696721
"Gail Devers"	0.069485
"Steffi Graf"	0.0694663
"Juha Kankkunen"	0.0694135
"Jose Maria Olazabal"	0.0687738
"Alberto Tomba"	0.0683679
"Ivan Lendl"	0.0683081
"Jeff King"	0.0683069
"Jeff Ward"	0.0673158
"Lothar Matthaeus"	0.0670122
"HANK KUEHNE"	0.0669508
"Dennis Conner"	0.066679
"Frankie Fredericks"	0.0666325
"Chris Boardman"	0.0661904
Musashimaru	0.0659265
"Hao Haidong"	0.0657489
"Hristo Stoichkov"	0.0656705
"Eric Cantona"	0.0656276
"Kostya Tszyu"	0.0652448
"Bernhard Langer"	0.0651943
"Buckshot Jones"	0.0651819
"Wang Junxia"	0.0649535
Luyendyk	0.0649507
"Liu Xuan"	0.0647188
Coulthard	0.064468
"Jansher Khan"	0.0642658
"Li Xuemei"	0.0639693
"Frank Bruno"	0.0638116
Waltrip	0.0634715
Romario	0.0634486
"Mark Calcavecchia"	0.0633376
"Ricky Craven"	0.0633244
"Frank Nobilo"	0.0631095
"Isolde Kostner"	0.0629767
"Merlene Ottey"	0.0628211
"Jack Nicklaus"	0.062667
"Marie-Jose Perec"	0.0625539
"Doug Pederson"	0.0624661
"Bobby Hamilton"	0.0624167
"Monica Seles"	0.0621837
"Juli Inkster"	0.062026
Anees	0.0619607
"Jubilo Iwata"	0.0618281
"Greg Adams"	0.0617838
"Fabrizio Ravanelli"	0.0615996
"Orel Hershiser"	0.0615944
Jalabert	0.0612901
"Paul Lawrie"	0.0611003
"Martina Navratilova"	0.0610913
"Dominique Wilkins"	0.0609999
"Corey Pavin"	0.0607448
"Tom Watson"	0.06068
"Todd Eldredge"	0.0606358
"Picabo Street"	0.0601774
"Jesse Orosco"	0.0600549
"John McEnroe"	0.0599757
"Ian Wright"	0.0595686
Earnhardt	0.0595394
"Laurent Brochard"	0.0594193
"Greg Norman"	0.0593669
"Jorgen Persson"	0.0593126
"Elvis Stojko"	0.0589811
"Riddick Bowe"	0.0589629
"Sergi Bruguera"	0.0588928
"Alex Zuelle"	0.0586456
"Eddie Irvine"	0.0585257
"Johnny Benson"	0.0584139
"Irina Slutskaya"	0.0583232
"Pete Sampras"	0.058305
"Buster Douglas"	0.0582341
"Anita Wachter"	0.0581472
"Maria Butyrskaya"	0.0581165
"Alexandra Meissnitzer"	0.0580715
"Tommi Makinen"	0.0580478
Bodine	0.0579034
"Chris Osgood"	0.0578282
"Dave Brown"	0.0578088
"Deon Hemmings"	0.0576447
"Abraham Olano"	0.0576117
"Gil Morgan"	0.0575731
"Charlie Williams"	0.0573618
Hendrickson	0.0571368
Devers	0.0570424
"Iwan Thomas"	0.0569071
"Tom Barrasso"	0.0566223
"Jamie Moyer"	0.0565896
"Grant Fuhr"	0.0564911
"Huang Xu"	0.0564069
"Hale Irwin"	0.0564057
"Simona Amanar"	0.056385
"Thunder Gulch"	0.0563653
Okada	0.0562897
"Andre Agassi"	0.0562036
"Zoran Primorac"	0.05618
"John Godina"	0.056153
Irvan	0.055944
))
("AL West" (desc 5836.98) (sims
"American League West"	0.519233
"NL West"	0.340177
"AL East"	0.333431
"NL East"	0.311365
"NL Central"	0.293933
"National League West"	0.280724
"AL Central"	0.272359
"AFC West"	0.267257
"Atlantic Division"	0.26467
"Central Division"	0.263402
"NFC East"	0.2568
"National League East"	0.250131
"American League East"	0.242283
"AFC East"	0.23573
"Pacific Division"	0.233127
"AFC Central"	0.216299
"NFC West"	0.204143
"National League Central"	0.202386
"NFC Central"	0.196779
"Eastern Conference"	0.195423
"Eastern Division"	0.185129
"Western Conference"	0.176213
"SEC East"	0.159428
"Big Sky Conference"	0.146302
"Northeast Division"	0.143289
Pacific-@@	0.131954
Bundesliga	0.130384
NFC	0.127698
"Big Sky"	0.12092
Pac-@@	0.119301
"Southeastern Conference"	0.11877
AFC	0.113473
"Atlantic Coast Conference"	0.110475
ACC	0.110084
"Big @@"	0.10962
"Little League World Series"	0.108162
"Funny Car"	0.10653
"Italian League"	0.105599
"Conference USA"	0.103586
"West Regional"	0.102277
"Premier League"	0.10219
"American League"	0.0989842
A.L.	0.0972604
"Big East"	0.0971433
"American League Championship Series"	0.0947382
"Western Open"	0.0930005
Super-G	0.0927749
"Top Fuel"	0.0926743
"Southwest Conference"	0.0925947
"National League"	0.0917394
NL	0.0904733
"junior middleweight"	0.090303
cruiserweight	0.0889985
"South Regional"	0.0872347
"World Championship"	0.0850567
flyweight	0.0849636
"Pan Ams"	0.0849103
"Group @"	0.0843162
"junior lightweight"	0.0842994
"first cup"	0.0830392
CWS	0.0823908
"Division I-AA"	0.0821037
"U.S. Amateur"	0.0801536
"World Series"	0.0801063
"Division Series"	0.0800939
"light heavyweight"	0.079547
"Big West"	0.0795343
"Stanley Cup"	0.0790546
"NASCAR Winston Cup"	0.0788642
"junior welterweight"	0.078847
WCC	0.078314
al	0.0769725
WAC	0.0760931
"Western Athletic Conference"	0.0759563
"London Marathon"	0.0757071
"Gold Cup"	0.0756269
"World Boxing Council"	0.075421
decathlon	0.0752902
"Grand National"	0.0748268
"Busch Grand National"	0.0744199
"Ivy League"	0.0742096
WBO	0.0740903
ml	0.0738004
NLCS	0.0735827
featherweight	0.0730474
"Japan Open"	0.071656
backstroke	0.071126
"U.S. Senior Open"	0.0706286
"College World Series"	0.0703571
"European Champions Cup"	0.0698586
slalom	0.0698308
"United States Open"	0.0690134
"International Boxing Federation"	0.0689442
"New York City Marathon"	0.0683347
"Busch Series"	0.0677161
pennant	0.0671971
"UEFA Cup"	0.0669941
"Winston Cup"	0.0666148
"MLS Cup"	0.0659728
welterweight	0.0658421
"US Open"	0.0657871
CAA	0.0653495
"South American"	0.0652826
ALCS	0.0645612
"European Cup"	0.0644687
"Tour de France"	0.0637771
"Copa America"	0.0631094
"spelling bee"	0.0628409
"World Boxing Association"	0.0627568
Lipton	0.0622248
"Home Run Derby"	0.06198
"FA Cup"	0.0618722
SEC	0.0618509
"Fed Cup"	0.0613364
WBA	0.0608634
"League Cup"	0.0601825
"Phoenix Open"	0.0597401
EuroLeague	0.0596902
IRL	0.0594839
"Nissan Open"	0.059408
"F.A Cup"	0.0594053
"Western Conference Finals"	0.059094
"Santa Anita Handicap"	0.0590832
"NBA Finals"	0.0590656
"Continental Basketball Association"	0.0588888
"Hong Kong Open"	0.0588758
bantamweight	0.058864
"Louis Vuitton Cup"	0.0583834
"English Premier League"	0.0581373
"field hockey"	0.0580914
BCS	0.0574073
PGA	0.0571896
"three-day event"	0.0570354
"Indy Racing League"	0.0569826
WBC	0.0565321
"Solheim Cup"	0.0564755
"British Open"	0.0561954
Serie	0.0561583
constructor	0.0559441
Heisman	0.0559129
"Canadian Alliance"	0.0558108
two-point	0.0557902
"long jump"	0.0556474
freestyle	0.0555922
"Sunshine State"	0.0555481
Heptathlon	0.0554678
AFL	0.055047
"major league"	0.0549346
"Champions League"	0.054886
"French Open"	0.0544788
"Cup Juvenile"	0.0543201
breaststroke	0.0543102
Iditarod	0.0542734
NHL	0.0542105
"Nations Cup"	0.054147
Busch	0.0541429
"Daytona @@@"	0.0539421
WNBA	0.0535233
Premiership	0.0535074
best-of-@	0.0534884
"ski jumping"	0.0532452
"Boston Marathon"	0.0530857
"triple crown"	0.05306
"high jump"	0.0529358
"batting order"	0.0528335
"National Invitation Tournament"	0.0528264
"Round @"	0.0526693
"U.S. Open"	0.0526594
"International League"	0.0525689
"won eight"	0.0524916
"Australian Open"	0.0524839
"Midwest Regional"	0.0520601
fide	0.0517837
batting	0.0515928
"Juvenile Fillies"	0.0515485
Masters	0.0513686
postseason	0.0511951
"World League"	0.0510481
"shot put"	0.050892
"Pan Pacific"	0.0508903
"Florida Derby"	0.0508087
"Legg Mason"	0.0505625
"Sudirman Cup"	0.0504617
"Cup Winners Cup"	0.0504598
"American Football League"	0.0504357
"Dunhill Cup"	0.0502985
"Sweet @@"	0.0502064
NHRA	0.0501739
Maurier	0.0500501
AHL	0.0499919
"Asian Cup"	0.0498094
"Mastercard Colonial"	0.0497894
"sugar bowl"	0.0497743
"Thomas Cup"	0.0496287
under-@@	0.049616
"American League Division Series"	0.0495069
"regulation time"	0.0494697
"American Hockey League"	0.0493733
"Group B."	0.0492229
"Canadian Open"	0.0491876
))
(Al-Ahram (desc 1890.03) (sims
"Al Ahram"	0.496442
"Alam Al Yom"	0.424528
al-Hayat	0.384917
"Iran News"	0.352175
"Al Hayat"	0.325703
"El Pais"	0.299965
Hurriyet	0.294975
Politika	0.294084
"Tehran Times"	0.293158
"Yediot Ahronot"	0.290705
Maariv	0.284035
"El Mundo"	0.27837
Bild	0.276544
Kommersant	0.272603
"Business Day"	0.271833
"Gulf News"	0.264205
"Jordan Times"	0.26198
"Nihon Keizai"	0.260419
"Khaleej Times"	0.256588
Izvestia	0.254306
"Nihon Keizai Shimbun"	0.253442
Noticias	0.25139
"Le Figaro"	0.248279
"Kenya Times"	0.24819
Haaretz	0.241152
"Jakarta Post"	0.237676
"New Nigerian"	0.236026
"Jerusalem Post"	0.234957
"East African Standard"	0.234755
"Moscow Times"	0.233209
"Egyptian Gazette"	0.226094
Sowetan	0.224439
L'Equipe	0.223371
"Vietnam News"	0.222738
"Turkish Daily News"	0.218198
"The Monitor"	0.215302
"Financial Mail"	0.211679
"Macao Daily News"	0.211631
"New Vision"	0.210902
"South China Morning Post"	0.207961
"Daily Star"	0.20684
"Daily Nation"	0.206415
"Business Times"	0.20596
Salam	0.205812
"Indonesian Observer"	0.205652
"Asahi Shimbun"	0.200931
Al-Thawra	0.196892
"Der Spiegel"	0.192595
Granma	0.192429
Reforma	0.192241
"Ethiopian Herald"	0.190002
"Yomiuri Shimbun"	0.189729
"Le Monde"	0.189403
"China Daily Business Weekly"	0.189307
"New Straits Times"	0.188734
"Nhan Dan"	0.182522
"The New Vision"	0.181682
"Zambia Daily Mail"	0.178825
"Rodong Sinmun"	0.177762
"Straits Times"	0.177512
"Daily Times"	0.173802
"Sydney Morning Herald"	0.173224
Sera	0.168488
"Bangkok Post"	0.168002
Asahi	0.167245
"Ghana News Agency"	0.167243
gazette	0.166285
"Zimbabwe News Agency"	0.164424
Inquirer	0.16374
"East African"	0.16342
"Middle East News Agency"	0.1626
"National Post"	0.161817
Malaya	0.159407
"Post Express"	0.159054
"Thai News Agency"	0.157092
"Kathmandu Post"	0.157085
"Washington Times"	0.151856
"Daily Mail"	0.15155
"Cyprus News Agency"	0.150547
"Koha Ditore"	0.15042
"Wen Wei Po"	0.149146
"Press Trust of India"	0.147647
"Egyptian Middle East News Agency"	0.140088
"Rwanda News Agency"	0.139614
Yomiuri	0.139379
"Financial Times"	0.138709
"Guangming Daily"	0.13145
Angop	0.131058
Tous	0.130949
"Ethiopian News Agency"	0.129599
Itogi	0.128895
"Kuwait News Agency"	0.12863
"Australian Associated Press"	0.127937
"New Light"	0.125747
"Associated Press of Pakistan"	0.124606
"British Broadcasting Corporation"	0.124478
"China Daily"	0.124468
"Business Weekly"	0.123302
"United Press International"	0.121461
"Radio Uganda"	0.121376
Domingo	0.120028
"Dow Jones Newswires"	0.11998
MENA	0.119782
"News Agency of Nigeria"	0.117595
"Daily News"	0.114641
"Wenhui Daily"	0.11054
"Evening Standard"	0.110434
"Daily Telegraph"	0.110118
"Agence France Presse"	0.110035
Notimex	0.109939
Mayo	0.108429
"Antara News Agency"	0.108358
IRNA	0.10787
Star-Ledger	0.107472
MTI	0.107335
"Beijing Youth Daily"	0.106482
WAM	0.10645
ABS-CBN	0.105896
"Israel Radio"	0.104943
"Islamic Republic News Agency"	0.103551
"Korean Central News Agency"	0.102115
Antara	0.102071
"Saudi Press Agency"	0.101624
telegraph	0.101033
BS	0.0996507
Ansa	0.0986493
"Iraqi News Agency"	0.0975299
"USA TODAY"	0.0972061
"Beijing Daily"	0.0969594
"U.S. Labor Department"	0.0965676
"Seattle Times"	0.0965645
PTI	0.0963887
ATA	0.095948
Babel	0.0959427
"International Business Daily"	0.0952491
"Economic Daily"	0.0942457
Sabah	0.0942371
Bernama	0.0937991
"New York Daily News"	0.0937821
Post-Intelligencer	0.0928356
KUNA	0.0920403
"Vietnam News Agency"	0.0915853
Lusa	0.0907016
"Kyodo News"	0.0898444
Petra	0.0897145
"China Youth Daily"	0.0896241
"Southern African Broadcasting Association"	0.0887097
al-Baz	0.088398
Dana	0.0882158
Dominion	0.0880758
KPL	0.0879754
"Red Star"	0.0876687
"press agency"	0.0873844
"Kyodo News Service"	0.0871288
"Xinhua News Agency"	0.0866665
Jana	0.0866394
"Zambia News Agency"	0.0865228
"Miami Herald"	0.0853205
"Washington Post"	0.0850509
Tass	0.0843679
NHK	0.084083
"Philippine News Agency"	0.0839349
"Chicago Tribune"	0.0832095
"National Journal"	0.0825762
Figaro	0.0825652
"Detroit News"	0.0824696
"New England Journal"	0.0824316
"Athens News Agency"	0.0821446
Spiegel	0.0820154
"British Broadcasting Corp."	0.0816148
Akbar	0.0810877
"San Antonio Express-News"	0.0806746
RSS	0.0803824
"Los Angeles Times"	0.08018
"Prime Minister Kamal El-Ganzouri"	0.0799817
"Cable News Network"	0.0797501
"U.S. News"	0.079318
"Boston Herald"	0.0792811
newsmagazine	0.0790337
"Seattle Post-Intelligencer"	0.0784721
"Cincinnati Enquirer"	0.0783354
"Advertising Age"	0.0783303
"Orange County Register"	0.0780003
tribune	0.0775668
"Cox Newspapers"	0.0769507
"Denver Post"	0.0767327
CNA	0.0766468
AFP	0.0766024
Tanjug	0.0764451
"Sinai Peninsula"	0.076411
"Arizona Republic"	0.0762855
"Detroit Free Press"	0.0751716
"roll call"	0.0747108
SAPA	0.0736738
"Information Center"	0.0733065
tabloid	0.0727823
INA	0.072549
"Dallas Morning News"	0.0720275
"Fox Sports News"	0.0717465
Tennessean	0.0707351
))
(Al-Amin (desc 7039.23) (sims
Carruth	0.127861
Faget	0.127688
Shayler	0.118473
Skakel	0.118067
furrow	0.115555
Baumhammers	0.11481
Neulander	0.113102
Nikitin	0.113062
Kopp	0.111722
"Russell Peeler"	0.109305
Papon	0.108173
Agca	0.106176
Frankel	0.105932
Raduyev	0.105193
Gusinsky	0.104655
Ntakirutimana	0.104497
Ntuyahaga	0.102243
"Ruiz Massieu"	0.102086
Manbar	0.101707
Lazarenko	0.10167
Mikhailov	0.100163
Stayner	0.099982
"El Hage"	0.0995013
Arizmendi	0.0991507
Karbaschi	0.0982246
Adair	0.0978155
Krajisnik	0.097304
Kaunda	0.097233
Sakic	0.097078
Rudolph	0.0967323
peeler	0.0952858
Priebke	0.0946945
Ocalan	0.0944881
"Ta Mok"	0.0941374
Lundy	0.0936613
Meskini	0.0931571
Brunner	0.0928646
Soliah	0.0925755
Cavallo	0.0925019
Einhorn	0.0920244
Mitnick	0.0911182
Gusmao	0.0900692
Gravano	0.0896013
Swango	0.0889625
"Abu Nidal"	0.088747
Flemmi	0.0887353
Raznatovic	0.0884017
Bove	0.0880692
Brownlee	0.0877757
"Abdullah Ocalan"	0.0871573
Chmura	0.0869885
"Del Toro"	0.0869677
Merlino	0.0867996
"Martin Frankel"	0.0866015
Faulder	0.0862198
Ibrahim	0.0860513
Hage	0.0857725
Garofalo	0.0855734
Mattysse	0.0850987
Ressam	0.0850543
Gotti	0.0849996
Hofer	0.084746
Hirschfeld	0.0845437
Salemme	0.0844757
Kiareldeen	0.0841899
Resendez-Ramirez	0.0839273
Hoke	0.0838909
"Maturino Resendez"	0.0837226
Abu-Jamal	0.0836019
Oviedo	0.0834604
Laden	0.0833112
"Michael Skakel"	0.0833026
Sheinbein	0.0830444
Odeh	0.0828531
Karr	0.0827738
Hensley	0.0826634
Trie	0.0823726
Berenson	0.0822934
Valenzuela	0.0821321
Paciello	0.0820237
Khalil	0.0815481
Pinochet	0.0815021
Fagan	0.0806705
Gauthe	0.0803637
Amin	0.0801197
Ileto	0.0790387
Hsia	0.0782681
"Raul Salinas"	0.0781063
Blackthorne	0.0780425
Harrelson	0.0776451
Ghani	0.0773488
Jewell	0.0771438
Yadav	0.0762771
Haouari	0.0762663
Wiese	0.0758481
Krstic	0.0754182
McDougal	0.0753722
Starovoitova	0.0753427
Sebaggala	0.0753329
Kaczynski	0.0752715
Downey	0.0751887
Anwar	0.0749504
"Wen Ho Lee"	0.0749085
Brazill	0.0747167
hale	0.0741057
Deri	0.0740585
Pirro	0.0739265
Slaney	0.0736896
Figueroa	0.0735637
"Bin Laden"	0.0734174
Cisneros	0.0732376
Martorano	0.0731187
Kodikian	0.0727196
Maharaj	0.0725064
Karadzic	0.0724755
Schwarz	0.0723753
Sweeting	0.0721365
Slepian	0.0721173
Markhasev	0.0720522
Schweitzer	0.0719552
Ramseys	0.0718731
Ng	0.0717102
Kimes	0.0715696
"Ray Lewis"	0.0715068
Barton	0.0713934
Bulatovic	0.0713689
Herrera	0.071211
Giacchetto	0.0711647
Mapes	0.0710248
Olson	0.0706202
Falater	0.0705954
Pagones	0.070087
Ashbrook	0.0698977
Lileikis	0.0698682
"Augusto Pinochet"	0.0697033
Abernathy	0.0696209
Robison	0.0694967
Kalejs	0.0693748
Elhage	0.0687571
Mcbride	0.0683892
Montiel	0.0683736
Gritz	0.0681035
Bellush	0.0678818
Yoo	0.0677337
Speight	0.067722
Nathaniel	0.0677127
Berezovsky	0.0674392
Harris-Lewis	0.0674128
Basayev	0.067385
Fassett	0.0673406
Sankoh	0.0668259
"Dinko Sakic"	0.0666928
Reimer	0.0666876
Hiett	0.0664523
Arkan	0.0660483
Kimeses	0.0658788
Salinas	0.0657456
Druckenmiller	0.0656573
LeFave	0.0655703
Gurule	0.0653315
Demjanjuk	0.0653087
Koresh	0.0652722
Villanueva	0.0651575
Palczynski	0.0649092
Jenoff	0.0648972
Tomba	0.0647845
Carneal	0.0645427
Symington	0.0644703
Babitsky	0.0644238
Steele	0.0643869
Espy	0.0643669
Romanowski	0.0643521
Bhutto	0.0642263
Salim	0.0640555
Mercurio	0.0639925
Ganga	0.063944
Garza	0.0638503
Bowers	0.0638083
Alves	0.063719
Sharpton	0.0637158
Marulanda	0.06348
Thaci	0.0634568
DeBartolo	0.0633132
Muhammad	0.0630394
"Nuon Chea"	0.0625039
Ickes	0.0624849
Mudge	0.0624153
Haney	0.0621437
"Maturino Resendiz"	0.0619032
Boesak	0.0618678
Maradona	0.0616169
Sharif	0.0613689
Imperatori	0.0613245
Ozersky	0.0613073
"Moammar Gadhafi"	0.0612029
McWilliams	0.0610606
gunman	0.0610197
"Rafael Resendez-Ramirez"	0.0607051
"Roosevelt Johnson"	0.0606177
Nasrin	0.0605973
))
("Al-Aqsa Mosque" (desc 1829.88) (sims
"Al Aqsa Mosque"	0.440067
"Western Wall"	0.197866
"Temple Mount"	0.18812
mosque	0.132051
"Har Homa"	0.110483
shrine	0.107989
"Jabal Abu Ghneim"	0.106663
"Old City"	0.0971052
"First Union Center"	0.0938363
"Orient House"	0.0877256
"holy place"	0.0837664
Judaization	0.06715
Basilica	0.0665778
"National Stadium"	0.065756
Consulate-General	0.0628573
"Tehran University"	0.0604983
"Pudong International Airport"	0.0604201
"Potala Palace"	0.0595052
Golcuk	0.0589454
"U.N. Headquarters"	0.0585369
"Westminster Abbey"	0.0580967
Crucifixion	0.0562202
"Ritz-Carlton Hotel"	0.0559689
"open-air market"	0.0554537
"Kiel Center"	0.0553151
confiscation	0.0543521
"Macao International Airport"	0.0542892
"Hebrew University"	0.0538821
Eichmann	0.0536088
"Yad Vashem"	0.0534027
Zhongnanhai	0.051882
"Simon Wiesenthal Center"	0.0492249
Netcenter	0.0488406
"freedom of religion"	0.0487876
"Abu Dis"	0.0484505
"Summer Palace"	0.0478466
bedside	0.046334
ESPN.com	0.0460323
"Space Needle"	0.0457517
PATHFINDER	0.0457402
"Convention Center"	0.0456564
reconfiguration	0.0456171
"West Lake"	0.0456085
"San Francisco State University"	0.0452599
"Raging Bull"	0.0452287
toehold	0.0446473
"CBS SportsLine"	0.044644
Consul-General	0.0446222
"bus stop"	0.0445452
"religious school"	0.0443269
"Manger Square"	0.0441873
"senior high school"	0.0441864
"Diamond Mountain"	0.0440695
Meadows	0.0438362
Travelocity	0.0434043
Irbil	0.0433334
Matadi	0.0433324
"railway station"	0.0428647
"church service"	0.0420161
"Taihu Lake"	0.0413587
guesthouse	0.0413495
"Pro Player Stadium"	0.0413255
DrKoop.com	0.0412822
"Presidential Palace"	0.0411882
"Johnson Space Center"	0.0410441
"National Council of Churches"	0.0410245
"three sections"	0.040879
"Turn @"	0.0408703
Monster.com	0.040664
"Teen People"	0.0406549
"Arthur Ashe Stadium"	0.0404448
MarketWatch.com	0.0403135
portico	0.040147
))
(al-Assad (desc 19006.5) (sims
"President Hafez Al-Assad"	0.305504
Assad	0.28372
"King Hussein"	0.260128
Mubarak	0.24951
"Jordanian King Hussein"	0.231019
al-Sharaa	0.220012
"Hosni Mubarak"	0.218056
al-Shara	0.206622
Khaddam	0.202616
"Binyamin Netanyahu"	0.200265
Arafat	0.183374
al-Bashir	0.180747
"Jordanian King Abdullah Bin Hussein"	0.180573
"Nawaz Sharif"	0.179355
"Ehud Barak"	0.178113
"Saudi King Fahd"	0.176686
Chirac	0.170603
"King Fahd"	0.167861
"Benjamin Netanyahu"	0.16713
"Saudi King Fahd Ibn Abdul-Aziz"	0.165077
"Mahmoud Zouebi"	0.159393
"Amr Moussa"	0.159333
Demirel	0.155122
el-Ganzouri	0.154687
Lahoud	0.154268
"Costas Simitis"	0.153885
"Jacques Chirac"	0.151968
Gaddafi	0.151337
"Meles Zenawi"	0.151166
"Rafik Hariri"	0.150671
"King Abdullah"	0.150657
"Hafez Assad"	0.149062
Moussa	0.147317
"King Hassan II"	0.146526
Moi	0.146103
Netanyahu	0.145993
"Ryutaro Hashimoto"	0.144679
"President Kim Dae-jung"	0.14362
"Atal Bihari Vajpayee"	0.141473
"Shimon Peres"	0.139467
"Romano Prodi"	0.139434
"Yasser Arafat"	0.138519
Abdullah	0.137359
Barak	0.137253
"Atef Obeid"	0.137252
"Kofi Annan"	0.136985
emir	0.136876
"Tony Blair"	0.136532
"Jose Maria Aznar"	0.135668
"Sheikh Hasina"	0.135556
Clerides	0.135306
Peres	0.133975
"Keizo Obuchi"	0.133427
"Abdul Karim Kabariti"	0.132885
Vajpayee	0.132079
Hariri	0.131545
"Inder Kumar Gujral"	0.131123
Albright	0.129624
Sharif	0.129157
"Chuan Leekpai"	0.129043
"Yoshiro Mori"	0.128917
Mandela	0.128907
Annan	0.127256
"Lionel Jospin"	0.126107
Jiang	0.123649
Aziz	0.123181
"Yevgeny Primakov"	0.122452
Al-Thani	0.122216
"Kim Jong Il"	0.121866
Obuchi	0.119319
"Jean Chretien"	0.118965
Weizman	0.118694
"Suleyman Demirel"	0.118364
Hassan	0.118312
Bashar	0.117794
Hussein	0.117589
Premier	0.117237
"secretary of state"	0.117123
"Vo Van Kiet"	0.116542
al-Khatib	0.116144
Hashimoto	0.115836
"King Abdullah II"	0.11554
"Atal Behari Vajpayee"	0.115477
"Salim Hoss"	0.11496
"Goh Chok Tong"	0.113899
Abubakar	0.113271
Shareh	0.113172
Qian	0.112784
"Mahathir Mohamad"	0.112565
Majali	0.112559
"foreign minister"	0.112435
"Benazir Bhutto"	0.111598
Yeltsin	0.111241
Kharrazi	0.111182
Sharaa	0.110499
Kabariti	0.110164
Primakov	0.109199
"Vladimir Putin"	0.10855
"Boris Yeltsin"	0.108386
"President Kim Young-sam"	0.108254
al-Sahhaf	0.108134
"Jiang Zemin"	0.107934
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.10784
"King Abdullah Bin Hussein"	0.107669
"Abidine Ben Ali"	0.1076
Pangalos	0.107315
"Deve Gowda"	0.106442
Museveni	0.10592
"Prince Saud Al-Faisal"	0.105686
Nazarbayev	0.105322
Saleh	0.105211
Khatami	0.104773
"Javier Solana"	0.104457
"King Norodom Sihanouk"	0.104271
Syrian	0.10424
Kuchma	0.104239
"Necmettin Erbakan"	0.104035
"John Major"	0.103928
"Antonio Guterres"	0.103437
"Viktor Chernomyrdin"	0.103093
"William Cohen"	0.103088
Putin	0.102563
"Phan Van Khai"	0.102057
"Bulent Ecevit"	0.102024
Prince	0.101767
"Hun Sen"	0.101759
"Ivan Kostov"	0.101548
Mbeki	0.101373
minister	0.101082
"head of state"	0.100247
"Wlodzimierz Cimoszewicz"	0.100237
"Valery Pustovoitenko"	0.10023
"Mesut Yilmaz"	0.100187
Jospin	0.0998945
Dini	0.0994643
Lukashenko	0.0994591
Dae-jung	0.0991799
"Lamberto Dini"	0.0991421
"David Levy"	0.0990592
Solana	0.0982488
"crown prince"	0.0982054
"Palestinian National Authority"	0.0981122
"Li Peng"	0.0975942
"Paavo Lipponen"	0.0974799
Shara	0.0967825
Nyerere	0.096527
Ecevit	0.0956501
"Kamal Kharrazi"	0.0956461
president-elect	0.095601
"John Howard"	0.0955435
Hasina	0.0954779
"John Bruton"	0.0954693
envoy	0.0954093
"Bashar Assad"	0.095358
Rafsanjani	0.0953568
Prodi	0.0952922
"deputy foreign minister"	0.0951602
Christopher	0.0950881
al-Nahyan	0.094725
Al-Sabah	0.0947179
al-Khalifa	0.0943565
Ikeda	0.0943183
Ross	0.0943128
Wahid	0.0942902
"Than Shwe"	0.094043
Vedrine	0.0939922
Hrawi	0.0938239
"Yitzhak Rabin"	0.0936473
Blair	0.0936159
"Jerzy Buzek"	0.0934549
"Franjo Tudjman"	0.093375
Mugabe	0.0932051
"Wim Kok"	0.0927376
"Tang Jiaxuan"	0.0926843
"Ibrahim Rugova"	0.0924978
"Chavalit Yongchaiyudh"	0.0922488
"H.D Deve Gowda"	0.0921385
"Pope John Paul II"	0.0920335
"Kim Il Sung"	0.0918023
Ivanov	0.0912055
Chancellor	0.0909676
el-Bashir	0.0907839
"Ismail Cem"	0.0907036
Rua	0.0905803
Gujral	0.0904839
Camdessus	0.0904167
"Arab League"	0.0898037
Komura	0.0893168
Mkapa	0.0893013
Chernomyrdin	0.0892107
Habibie	0.0891013
Zhu	0.0889717
Chretien	0.0882739
Kim	0.088041
"Prince Abdullah Ibn Abdul-Aziz"	0.0879997
Denktash	0.0879335
Papandreou	0.0876737
al-Hariri	0.0876082
"Gerry Adams"	0.0876018
Nujoma	0.0874467
))
(al-Bashir (desc 5463.9) (sims
el-Bashir	0.312141
Bashir	0.300842
"Meles Zenawi"	0.198794
el-Ganzouri	0.194763
"Atef Obeid"	0.185758
Moi	0.183103
"Prime Minister Kamal El-Ganzouri"	0.181861
al-Assad	0.180747
"Jordanian King Abdullah Bin Hussein"	0.174203
"Vo Van Kiet"	0.172503
"Valery Pustovoitenko"	0.170921
Gaddafi	0.169889
Shareh	0.169537
"Costas Simitis"	0.16942
"Hosni Mubarak"	0.169113
Al-Thani	0.164014
Demirel	0.163961
"Wlodzimierz Cimoszewicz"	0.162797
"Rafik Hariri"	0.162503
"Romano Prodi"	0.162016
"Jacques Chirac"	0.161061
al-Khalifa	0.159395
al-Khatib	0.158677
"Sheikh Hasina"	0.158626
"Deve Gowda"	0.155848
"Abidine Ben Ali"	0.15547
"Inder Kumar Gujral"	0.155083
"Yoshiro Mori"	0.154479
Khaddam	0.154324
"President Hafez Al-Assad"	0.153347
"Chuan Leekpai"	0.152067
"Prime Minister Banharn Silpa-Archa"	0.151995
"Abdul Karim Kabariti"	0.151793
"Binyamin Netanyahu"	0.151753
"Mesut Yilmaz"	0.151367
Kharrazi	0.150859
"Lionel Jospin"	0.149565
Nazarbayev	0.149217
Luong	0.148791
"Atal Bihari Vajpayee"	0.148543
"Phan Van Khai"	0.148425
Kuchma	0.14772
Majali	0.147344
al-Shara	0.147022
"Antonio Guterres"	0.146591
Stoyanov	0.14643
"Atal Behari Vajpayee"	0.146139
"Salim Hoss"	0.145913
"Saudi King Fahd Ibn Abdul-Aziz"	0.145507
Chirac	0.145011
"Lamberto Dini"	0.144917
al-Sharaa	0.144753
"Benazir Bhutto"	0.143953
"President Kim Young-sam"	0.143785
"Jean Chretien"	0.143586
Mkapa	0.142117
"Ryutaro Hashimoto"	0.142105
Pangalos	0.142096
"Girija Prasad Koirala"	0.142068
Cem	0.141724
"Sher Bahadur Deuba"	0.141361
Deuba	0.141045
al-Hariri	0.140775
"Jerzy Buzek"	0.140374
"Chavalit Yongchaiyudh"	0.140369
"Jordanian King Hussein"	0.139329
"Necmettin Erbakan"	0.139022
"Ivan Kostov"	0.138587
Guterres	0.138393
Ikeda	0.137486
emir	0.137279
"King Fahd"	0.137173
Klestil	0.136913
"Kamal Kharrazi"	0.136317
"Bulent Ecevit"	0.136243
"Goh Chok Tong"	0.136225
"Amr Moussa"	0.135938
"Vaclav Klaus"	0.135922
"de Charette"	0.135746
Rua	0.135698
"Pascoal Mocumbi"	0.135471
Saleh	0.135439
"Frederick Sumaye"	0.135072
Granic	0.134908
Komura	0.134785
"H.D Deve Gowda"	0.133213
Phieu	0.133121
"Ricardo Alarcon"	0.132989
"Nawaz Sharif"	0.132898
Kabariti	0.132788
"Wim Kok"	0.132422
"John Bruton"	0.132014
Al-Sabah	0.131982
Simitis	0.131577
"Jose Maria Aznar"	0.131271
Lahoud	0.130585
Kwasniewski	0.130519
al-Nahyan	0.129999
"Paavo Lipponen"	0.129451
Shevardnadze	0.128322
Ganzouri	0.1278
Scalfaro	0.127292
Museveni	0.125371
"Goran Persson"	0.125223
Mubarak	0.125223
Velayati	0.125131
Azad	0.125087
"King Hussein"	0.124966
Moussa	0.124891
Dini	0.124815
"Keizo Obuchi"	0.124483
"Radu Vasile"	0.124367
Muluzi	0.124285
"Suleyman Demirel"	0.124184
Lukashenko	0.123537
"Mikulas Dzurinda"	0.123204
Constantinescu	0.122907
"Ernesto Zedillo"	0.12276
Meles	0.12257
Lipponen	0.12256
Aziz	0.122364
Dehaene	0.122337
Abubakar	0.122242
al-Sahhaf	0.122033
"President Kim Dae-jung"	0.121923
Nzo	0.121471
"Prince Saud Al-Faisal"	0.121367
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.121321
Bouteflika	0.120969
"Ismail Cem"	0.120954
Vollebaek	0.120873
Frei	0.120323
"Jenny Shipley"	0.120312
Chissano	0.119104
"Fernando Henrique Cardoso"	0.118697
Dae-jung	0.118412
Rifkind	0.11819
"John Major"	0.118123
Vajpayee	0.117506
Abdel-Meguid	0.116714
"Viktor Chernomyrdin"	0.116694
Camdessus	0.116499
"Secretary General Esmat Abdel-Meguid"	0.116415
"Shimon Peres"	0.116333
Arafat	0.1163
Hariri	0.116191
Zeroual	0.116168
Yilmaz	0.115712
"Hubert Vedrine"	0.115692
Karimov	0.115633
"Prince Abdullah Ibn Abdul-Aziz"	0.11562
Rakhmonov	0.115193
Pustovoitenko	0.114532
Chretien	0.114477
"Than Shwe"	0.114227
"Lokendra Bahadur Chand"	0.113666
Hasina	0.113198
Chiluba	0.112976
"Mahathir Mohamad"	0.112782
Sharif	0.112703
"Saudi King Fahd"	0.112503
"King Abdullah II"	0.112355
Clerides	0.112162
Gujral	0.111642
Ben-Ami	0.111626
Sergeyev	0.111603
"Ehud Barak"	0.111421
"Kim Yong Nam"	0.111401
Husseini	0.111224
Menem	0.11087
Chuan	0.110832
"Secretary General Esmat Abdul-Meguid"	0.110302
Vedrine	0.11007
Goh	0.109943
Kostov	0.109695
Ivanov	0.109131
"Abdullah Ahmad Badawi"	0.108677
Santer	0.10849
"Helen Clark"	0.10847
"Li Peng"	0.108451
Musharraf	0.10842
Muoi	0.108367
Nujoma	0.108206
Garang	0.108115
"Javier Solana"	0.108101
"Jiang Zemin"	0.107671
"Tang Jiaxuan"	0.107485
Klima	0.107247
Mugabe	0.106875
Diouf	0.106761
Narayanan	0.106442
Akayev	0.10628
"John Howard"	0.106001
Assad	0.105921
"Yevgeny Primakov"	0.105469
Ecevit	0.105347
"Benjamin Netanyahu"	0.105211
Jayakumar	0.105083
"Boris Yeltsin"	0.105012
"William Cohen"	0.104597
Meguid	0.104543
Niyazov	0.104473
"Fatos Nano"	0.104361
"Milos Zeman"	0.104207
"Martti Ahtisaari"	0.10409
Chavalit	0.103996
Jospin	0.103993
"King Hassan II"	0.103781
Kasoulides	0.103604
"Alain Juppe"	0.103537
Koirala	0.103388
"I.K Gujral"	0.103376
Ahtisaari	0.10336
"Carlos Menem"	0.103339
Gurirab	0.103201
Kumaratunga	0.102827
"Victor Chernomyrdin"	0.102664
Mandela	0.10258
"Bertie Ahern"	0.102542
Ahern	0.102445
Solana	0.102332
"Koo Chen-fu"	0.102297
Rafsanjani	0.102225
Ogata	0.102149
Hoss	0.102084
"Bashkim Fino"	0.101845
Kinkel	0.101626
"Olusegun Obasanjo"	0.101542
"William Perry"	0.101345
Hrawi	0.101223
Axworthy	0.100598
Wahid	0.100439
Erbakan	0.100353
Pickering	0.100093
))
(al-Baz (desc 1243.33) (sims
el-Baz	0.509632
Baz	0.339346
"Ahmed Tibi"	0.300706
"David Bar-Illan"	0.294618
"Dore Gold"	0.272288
"Shelly Finkel"	0.214132
"Danny Yatom"	0.209543
"Sandy Berger"	0.189239
"Samuel Berger"	0.189176
"Yitzhak Molcho"	0.171048
"Gene Sperling"	0.163561
"Bob Shrum"	0.145945
"Paul Begala"	0.144319
"Anthony Lake"	0.140665
"Rahm Emanuel"	0.140152
"Salim Saleh"	0.139324
Kasoulides	0.138186
el-Ganzouri	0.136405
"Mark McKinnon"	0.135242
"Karl Rove"	0.127615
"Robert Aventajado"	0.127536
"Harold Ickes"	0.125656
Ikimi	0.123489
"Zbigniew Brzezinski"	0.118119
"John Weaver"	0.115196
Guterres	0.115074
"James Carville"	0.115014
"Mike Murphy"	0.114784
"Vladimiro Montesinos"	0.113994
"George Stephanopoulos"	0.113483
"Dick Morris"	0.111808
Ganzouri	0.110827
Sumaye	0.109062
Juma	0.10906
"Nabil Shaath"	0.107085
Ruehe	0.106888
al-Sahaf	0.106034
"Condoleezza Rice"	0.105759
Rifkind	0.105122
Moussa	0.104815
"de Charette"	0.104584
Saleh	0.104118
Singson	0.103581
Nzo	0.103391
Phieu	0.102995
Ikeda	0.101797
Komura	0.101522
Aventajado	0.101348
Alatas	0.101252
"Anatoly Chubais"	0.10115
Shareh	0.0998005
"Frederick Sumaye"	0.0993071
"Faisal Husseini"	0.0992528
Azad	0.0992498
Insulza	0.098666
Bruton	0.0984867
Severino	0.0975225
"Daim Zainuddin"	0.0969703
Abdel-Meguid	0.0969233
Tarawneh	0.0966053
"Atef Obeid"	0.0962812
Erekat	0.0958028
Velayati	0.0951796
Zou	0.0950058
Waigel	0.0948588
Kyprianou	0.0943043
Constantinescu	0.0937757
"Karen Hughes"	0.0936962
Nasrallah	0.0936588
Cem	0.0929728
Muoi	0.0921097
Wolfensohn	0.0917012
Majali	0.0915876
Scalfaro	0.0915207
Fernandes	0.0915096
Stoyanov	0.0912243
"Jaswant Singh"	0.0909197
Siazon	0.0908992
Moratinos	0.0905287
"Prime Minister Kamal El-Ganzouri"	0.0890604
Brittan	0.0889198
Al-Ahram	0.088398
Boueiz	0.0882675
"Fehmi Agani"	0.0878058
"Abdul Karim Kabariti"	0.0876505
Osama	0.086659
Nujoma	0.0865766
"Amr Moussa"	0.0865436
"Barry R. McCaffrey"	0.0863445
Jayakumar	0.0861488
"Hosni Mubarak"	0.08548
Pangalos	0.0853966
Meguid	0.0850587
"Bruce Teitelbaum"	0.0849705
Gurirab	0.0845925
Tsang	0.0838029
Kharrazi	0.0833101
Malu	0.082874
Modise	0.0820796
Piot	0.0818587
"Kamal Kharrazi"	0.0816615
"Bobby Brown"	0.081557
"Ivan Kostov"	0.0812814
"Saeb Erekat"	0.0811275
Vollebaek	0.0810786
Brahimi	0.0805742
"Abidine Ben Ali"	0.0805114
Chissano	0.0798982
Nemtsov	0.0795164
"Al Ahram"	0.079483
al-Khatib	0.0793986
Kostov	0.0793035
Granic	0.0791365
Ogata	0.0788918
"Maung Aye"	0.0780503
"David Levy"	0.0775878
"Wang Daohan"	0.0775379
Shaath	0.0775066
"Khin Nyunt"	0.0773317
"William Perry"	0.0773081
"Koo Chen-fu"	0.0772779
"Than Shwe"	0.0771882
Holl	0.0770776
Sha	0.0769352
Mkapa	0.0767276
Xiang	0.0765067
"Vo Van Kiet"	0.0762161
Zuma	0.0761978
"Lee Hsien Loong"	0.076155
"Dennis Ross"	0.0760421
Stroyev	0.0753658
Kato	0.0750784
"Sidney Blumenthal"	0.0750266
"Ralph Reed"	0.0750066
Kavan	0.0746155
Rodionov	0.0745206
Kamal	0.0742499
"Brent Scowcroft"	0.0741898
Orban	0.0738413
Eran	0.0735111
Kinkel	0.0734926
"Igor Sergeyev"	0.0732823
"I.K Gujral"	0.0731365
"Carter Eskew"	0.0729701
Khai	0.0729505
Merkel	0.0724803
Klima	0.0723885
Pustovoitenko	0.0721485
Ruggiero	0.0719547
"Saeed Hajjarian"	0.0718558
Dini	0.0717851
Rafsanjani	0.0715725
Ciampi	0.0715343
Iliescu	0.0714601
"Phan Van Khai"	0.0714266
Karimov	0.0713015
Meles	0.0707275
Rong	0.0706861
MENA	0.0703548
"Secretary General Esmat Abdel-Meguid"	0.0703325
Alarcon	0.0702349
Grachev	0.0701848
Shara	0.069793
Tarrin	0.0694778
"Bill Skate"	0.069421
Westendorp	0.0692574
Akayev	0.0691546
Tella	0.068944
"Jerzy Buzek"	0.0687913
Strauss-Kahn	0.0687326
"De Soto"	0.0685689
"Esmat Abdel Meguid"	0.0685641
Wenger	0.0685543
"Alam Al Yom"	0.0685365
"Christopher Hill"	0.0683927
Advani	0.0682333
Gujral	0.0681466
Mohamad	0.0680792
Hamad	0.0680123
"Wim Kok"	0.0680031
Ahern	0.0677833
"Sergei Yastrzhembsky"	0.0677824
Khaddam	0.0675325
"Orlando Mercado"	0.0673998
Reinhardt	0.0673936
Chavalit	0.0672141
al-Sahhaf	0.0672101
"George Robertson"	0.0667555
Harmoko	0.0664388
Surin	0.0664136
Bambang	0.0663786
Mustafa	0.0656466
Ivanov	0.0656155
"Alexander Lebed"	0.065526
Demaci	0.0654131
Soares	0.0652494
"John Bruton"	0.0647386
Al-Faisal	0.0646898
Kwasniewski	0.0646869
Echols	0.0646016
))
(Al-Faisal (desc 1883.9) (sims
"Prince Saud Al-Faisal"	0.272343
al-Shara	0.24116
"Igor Ivanov"	0.238364
"Kamal Kharrazi"	0.225872
al-Sahaf	0.221419
"Lamberto Dini"	0.205869
al-Sharaa	0.201052
"Sartaj Aziz"	0.20012
al-Khatib	0.191151
Fahd	0.189503
Kavan	0.18802
"Klaus Kinkel"	0.186582
Ikimi	0.184785
Jayakumar	0.181083
al-Saud	0.180449
"Igor Sergeyev"	0.174323
"Jaswant Singh"	0.174015
"Hubert Vedrine"	0.173986
"Goran Persson"	0.173386
"Tang Jiaxuan"	0.169817
"Amr Moussa"	0.168654
al-Sahhaf	0.167885
"Ismail Cem"	0.166814
"Abdullah Ahmad Badawi"	0.16598
Shareh	0.16116
Tella	0.160734
Rifkind	0.156263
"David Levy"	0.154668
Shara	0.153668
Sharaa	0.147964
Gurirab	0.146065
"Joschka Fischer"	0.144662
Pangalos	0.144402
Kharrazi	0.142689
"Qian Qichen"	0.141194
Saleh	0.14057
"Robin Cook"	0.138314
Abdel-Meguid	0.137759
Meguid	0.136364
Luong	0.136119
Velayati	0.132341
Majali	0.132121
Moratinos	0.131998
Talal	0.131543
Phieu	0.130819
"Ivan Kostov"	0.130514
Rodionov	0.130252
Kabariti	0.129597
Ruehe	0.129543
Thani	0.129306
Komura	0.12793
"Paavo Lipponen"	0.1278
"John Bruton"	0.127248
Klestil	0.127242
"Ariel Sharon"	0.125911
Pustovoitenko	0.124508
Hrawi	0.124079
"Fernando Henrique Cardoso"	0.123688
Ikeda	0.122707
Al-Sabah	0.12268
"Wim Kok"	0.12191
Klima	0.120674
Zou	0.120674
Scalfaro	0.120034
Kasoulides	0.119766
"Abdul Karim Kabariti"	0.118904
"Carlos Menem"	0.117841
el-Ganzouri	0.117448
Moussa	0.116848
Juncker	0.116702
Lipponen	0.11664
Nzo	0.116012
Sumaye	0.115585
Hamad	0.115249
Vedrine	0.115079
"Minister Shlomo Ben-Ami"	0.114542
"Wang Daohan"	0.113292
"Maung Aye"	0.113057
Guterres	0.111528
Cem	0.111286
"de Charette"	0.110256
Akayev	0.108736
Ivanov	0.108608
"Mikulas Dzurinda"	0.108544
"Antonio Guterres"	0.108345
"Wolfgang Schuessel"	0.108208
Azad	0.108173
"Bertie Ahern"	0.107882
"Than Shwe"	0.10583
Wolfensohn	0.104408
"Oded Eran"	0.104227
Diouf	0.103681
"Atef Obeid"	0.103425
Narayanan	0.103213
Siazon	0.103154
"Bashkim Fino"	0.103109
Granic	0.102923
"De Soto"	0.102667
Brittan	0.102559
"Vo Van Kiet"	0.102016
"Chi Haotian"	0.101613
Schuessel	0.101613
"Radu Vasile"	0.101352
Ganzouri	0.101305
Axworthy	0.100569
Khaddam	0.100072
"Mikhail Kasyanov"	0.10005
Karimov	0.0999782
"George Robertson"	0.0999299
"Valery Pustovoitenko"	0.0996223
Kwasniewski	0.0989022
Shevardnadze	0.098899
Kono	0.0983252
Garang	0.0982901
Niyazov	0.0982191
Mohamad	0.0978389
"I.K Gujral"	0.0974572
Muoi	0.0974401
"Inder Kumar Gujral"	0.0973346
"Lee Hsien Loong"	0.0968737
Prueher	0.0968243
Stoyanov	0.0961498
"Hosni Mubarak"	0.0958624
Constantinescu	0.0953741
al-Hariri	0.0952358
Scharping	0.0951486
Shipley	0.0950294
"Strobe Talbott"	0.0948992
Khai	0.0948284
Vollebaek	0.0943024
Ahtisaari	0.0942067
Bouteflika	0.0940945
"Koo Chen-fu"	0.09306
al-Khalifa	0.0929546
Ben-Ami	0.0929534
Modise	0.0925807
"Vaclav Klaus"	0.0924642
Abdullah	0.0924398
Meles	0.0922367
"Bizima Karaha"	0.0920216
Mkapa	0.0918569
Tsang	0.0917067
Chissano	0.0914639
Obeid	0.0914243
"Goh Chok Tong"	0.0911676
Fino	0.0911139
"Phan Van Khai"	0.0909086
"Girija Prasad Koirala"	0.0908148
"Jacques Chirac"	0.0904106
"Ernesto Zedillo"	0.0903364
Nujoma	0.0902319
"Secretary General Esmat Abdul-Meguid"	0.0901049
"Bill Skate"	0.0896127
Alatas	0.0896052
"Jerzy Buzek"	0.0895139
Gujral	0.0892444
Orban	0.0889105
"Alexander Lukashenko"	0.0886573
"Abidine Ben Ali"	0.0884454
Jovanovic	0.0884302
Al-Thani	0.0883686
Dini	0.0883554
"Jose Maria Aznar"	0.088351
"Secretary General Esmat Abdel-Meguid"	0.0882695
al-Nahyan	0.0881461
"Suleyman Demirel"	0.0878075
Severino	0.0876636
"Alberto Fujimori"	0.0874133
Goh	0.0873332
Pickering	0.0872728
Indyk	0.087223
Surin	0.0872022
Sahnoun	0.0871618
Malan	0.0871078
Stroyev	0.0869798
"Paul Kagame"	0.0867523
Xiong	0.0866094
Kok	0.0865851
"Kiichi Miyazawa"	0.0865656
Insulza	0.0862754
Chretien	0.0862628
"Esmat Abdel Meguid"	0.0856689
Demirel	0.0853309
Marulanda	0.0850545
"Yevgeny Primakov"	0.0847931
Camdessus	0.0847857
"William S. Cohen"	0.0844409
"Frederick Sumaye"	0.0843873
Hamid	0.0843415
Azizah	0.0842054
"Chuan Leekpai"	0.0841916
"Boutros Boutros Ghali"	0.0838666
Nazarbayev	0.0836848
Dehaene	0.0836026
Kyprianou	0.0834836
"Pandeli Majko"	0.0834624
Santer	0.0832652
Gaddafi	0.0832033
"Fayez Tarawneh"	0.0830064
Maj.-Gen.	0.08283
))
(al-Hariri (desc 1501.52) (sims
Hariri	0.276394
"Valery Pustovoitenko"	0.267665
"Rafik Hariri"	0.2642
Boueiz	0.243001
"Salim Hoss"	0.242682
"Ivan Kostov"	0.237751
al-Khatib	0.235655
"Prime Minister Kamal El-Ganzouri"	0.213001
Khaddam	0.207711
"Vo Van Kiet"	0.207229
"Atef Obeid"	0.206474
"Wlodzimierz Cimoszewicz"	0.197247
el-Ganzouri	0.191232
"Paavo Lipponen"	0.186008
al-Shara	0.182209
Komura	0.181019
al-Sahhaf	0.180281
"Radu Vasile"	0.176417
al-Sahaf	0.17629
Shara	0.17611
"Goran Persson"	0.173705
"Jordanian King Abdullah Bin Hussein"	0.168247
"Costas Simitis"	0.16631
"Lee Hsien Loong"	0.165546
"Frederick Sumaye"	0.164565
"Pascoal Mocumbi"	0.164356
"Mesut Yilmaz"	0.164294
"Mikulas Dzurinda"	0.16326
"John Bruton"	0.162251
Dehaene	0.16217
Majali	0.160964
"Abdul Karim Kabariti"	0.160095
Kabariti	0.160049
"Necmettin Erbakan"	0.160032
"Wim Kok"	0.159936
Nzo	0.159908
Pangalos	0.157104
Gaddafi	0.156693
Ikimi	0.150524
Hrawi	0.150516
"King Abdullah II"	0.149771
"Jerzy Buzek"	0.147224
"Chavalit Yongchaiyudh"	0.145443
"Abdul Salam Majali"	0.145177
"Fatos Nano"	0.145036
"Vaclav Klaus"	0.144485
"Inder Kumar Gujral"	0.144035
"Bulent Ecevit"	0.14364
al-Sharaa	0.143078
Granic	0.142358
"Jenny Shipley"	0.142302
Al-Thani	0.140945
al-Bashir	0.140775
"Bertie Ahern"	0.140221
"Yegor Stroyev"	0.140083
"Meles Zenawi"	0.138435
"Chuan Leekpai"	0.138201
Deuba	0.13757
"Benazir Bhutto"	0.137452
"Bashkim Fino"	0.137303
Shareh	0.137047
Stoyanov	0.13629
Simitis	0.136199
Meles	0.13603
"Prince Saud Al-Faisal"	0.135004
"Jean Chretien"	0.134552
"H.D Deve Gowda"	0.134307
"Lionel Jospin"	0.134256
"Saudi King Fahd"	0.133954
Ganzouri	0.13357
Barshefsky	0.133111
Hoss	0.132686
Banharn	0.132178
"Romano Prodi"	0.132019
"Abidine Ben Ali"	0.131971
"Jose Maria Aznar"	0.131452
Kwasniewski	0.131438
"Than Shwe"	0.131204
Dini	0.129271
"Antonio Guterres"	0.128384
"Binyamin Netanyahu"	0.127745
"Abdullah Ahmad Badawi"	0.127518
"Pandeli Majko"	0.127476
Nazarbayev	0.126952
Cem	0.126841
"David Levy"	0.126698
"Goh Chok Tong"	0.126683
"Lamberto Dini"	0.126451
"Yuri Maslyukov"	0.12595
Kuchma	0.125772
Moratinos	0.125727
"Boutros Boutros Ghali"	0.125616
"Amnuay Virawan"	0.125187
Chretien	0.12484
"William Perry"	0.124655
Ben-Ami	0.12389
Tella	0.123857
"President Hafez Al-Assad"	0.123429
Ivanov	0.12342
"Alain Juppe"	0.123199
Bhattarai	0.122522
"Phan Van Khai"	0.122499
"Milos Zeman"	0.122382
Ruehe	0.12235
"Javier Solana"	0.122083
Ahtisaari	0.121506
"Suleyman Demirel"	0.121245
"Kamal Kharrazi"	0.121207
Mkapa	0.120534
"de Charette"	0.120444
Talbott	0.120214
"Jordanian King Hussein"	0.119806
"Yoshiro Mori"	0.119578
"Igor Ivanov"	0.119041
Pustovoitenko	0.118834
"Atal Bihari Vajpayee"	0.118794
Ikeda	0.118703
Kharrazi	0.118413
Lipponen	0.118392
Frei	0.118111
"Deve Gowda"	0.118017
Gujral	0.117823
"Ismail Cem"	0.117485
Camdessus	0.117431
"Secretary General Esmat Abdel-Meguid"	0.117283
Demirel	0.117106
Sahnoun	0.117005
Alatas	0.116906
Constantinescu	0.116812
"Sheikh Hasina"	0.116359
Museveni	0.116132
Rakhmonov	0.11611
"Sheldon Silver"	0.115899
Gurirab	0.115554
Phieu	0.115257
Garang	0.115015
"Lokendra Bahadur Chand"	0.11494
"Prime Minister Banharn Silpa-Archa"	0.114912
Aznar	0.114853
"Minister Shlomo Ben-Ami"	0.114729
Chissano	0.114198
"Girija Prasad Koirala"	0.113826
"Saudi King Fahd Ibn Abdul-Aziz"	0.113558
Muoi	0.113044
"Tareq Aziz"	0.11304
Kostov	0.112939
Narayanan	0.112703
"King Fahd"	0.112326
"Koo Chen-fu"	0.112252
"Secretary General Esmat Abdul-Meguid"	0.112033
Al-Sabah	0.111932
Sharaa	0.111816
Scalfaro	0.111631
"Krishna Prasad Bhattarai"	0.11153
Solana	0.111498
"Gro Harlem Brundtland"	0.111344
Goh	0.11095
"Joseph Bruno"	0.110661
"William Cohen"	0.110317
Santer	0.110094
Rodionov	0.110016
Kasoulides	0.109813
Jayakumar	0.109767
Nujoma	0.109607
Lahoud	0.109225
Vollebaek	0.109037
Vice-Premier	0.108773
Klima	0.108644
"Tang Jiaxuan"	0.108548
Vedrine	0.108197
Bruton	0.107934
"Sergei Stepashin"	0.107864
"Sergei Kiriyenko"	0.10774
"Tansu Ciller"	0.107677
Clerides	0.107637
Azad	0.107622
Sergeyev	0.106605
Moussa	0.106468
"William Daley"	0.106447
"Shimon Peres"	0.106397
"John Howard"	0.106185
"Viktor Chernomyrdin"	0.106124
"Yevgeny Primakov"	0.106092
"Defense William Cohen"	0.10596
"Victor Chernomyrdin"	0.105837
Ecevit	0.105748
"Dos Santos"	0.105728
"Ryutaro Hashimoto"	0.105489
Luong	0.10518
Axworthy	0.104906
"Leon Brittan"	0.104776
Hasina	0.104728
D'Alema	0.103885
"Atal Behari Vajpayee"	0.103853
"Hosni Mubarak"	0.10385
"Fernando Henrique Cardoso"	0.103595
Kinkel	0.103534
"Dennis Ross"	0.103362
Yilmaz	0.102862
Guterres	0.102602
"Tim Fischer"	0.102572
"President Kim Dae-jung"	0.102349
Siazon	0.102334
"Sher Bahadur Deuba"	0.102025
"King Hassan II"	0.102013
Shipley	0.101852
"Fayez Tarawneh"	0.101592
"Qian Qichen"	0.101574
Meguid	0.101559
al-Khalifa	0.1015
"Tomiichi Murayama"	0.100823
"Ricardo Alarcon"	0.100746
Fabius	0.100586
"Amr Moussa"	0.100302
Abdel-Meguid	0.100283
Chavalit	0.10013
))
(al-Hayat (desc 3591.81) (sims
"Alam Al Yom"	0.43525
"Al Hayat"	0.411463
Al-Ahram	0.384917
Kommersant	0.35838
"Gulf News"	0.339438
"Al Ahram"	0.333289
"Khaleej Times"	0.330105
"Koha Ditore"	0.308789
"El Pais"	0.307364
"New Vision"	0.305518
"Business Day"	0.300741
Haaretz	0.294323
"Iran News"	0.290895
"East African Standard"	0.2896
Maariv	0.287542
"Le Figaro"	0.28317
Noticias	0.282366
Granma	0.277696
"Jordan Times"	0.274998
"Jakarta Post"	0.27374
"Daily Nation"	0.272096
"Jerusalem Post"	0.267906
"Le Monde"	0.258774
"Straits Times"	0.257143
Reforma	0.255079
L'Equipe	0.253556
Sowetan	0.252826
"Asahi Shimbun"	0.251898
"Nihon Keizai Shimbun"	0.250819
Hurriyet	0.246908
"Yediot Ahronot"	0.246007
"Saudi Press Agency"	0.245109
"Financial Times"	0.245032
"Tehran Times"	0.244927
"Indonesian Observer"	0.243467
"Egyptian Gazette"	0.238244
"Nihon Keizai"	0.237963
"Daily Star"	0.237718
"Moscow Times"	0.233114
"Ethiopian Herald"	0.232854
"Egyptian Middle East News Agency"	0.230263
Salam	0.228043
"El Mundo"	0.227598
"Thai News Agency"	0.223072
"Kenya Times"	0.22071
"Bangkok Post"	0.217698
"Washington Times"	0.211741
"Yomiuri Shimbun"	0.211738
Politika	0.211076
"Macao Daily News"	0.210974
"Turkish Daily News"	0.210391
"Rodong Sinmun"	0.208797
Izvestia	0.206986
"Kathmandu Post"	0.20576
"South China Morning Post"	0.203628
"New Straits Times"	0.203191
"New Nigerian"	0.202965
Bild	0.201005
"China Daily Business Weekly"	0.200202
"Daily Telegraph"	0.198826
"Vietnam News"	0.197828
Asahi	0.196444
Al-Thawra	0.19486
"Ghana News Agency"	0.194039
"The Monitor"	0.192622
"Daily Times"	0.19215
"National Post"	0.189931
Antara	0.188161
"Business Times"	0.187501
"Daily Mail"	0.185457
"British Broadcasting Corporation"	0.184964
"Kuwait News Agency"	0.183875
"Zambia Daily Mail"	0.181827
"The New Vision"	0.179809
"Zimbabwe News Agency"	0.178605
"Press Trust of India"	0.178518
"Nhan Dan"	0.178444
"USA TODAY"	0.178075
Herald	0.177655
"Der Spiegel"	0.175144
"Kyodo News Service"	0.17481
"Ethiopian News Agency"	0.174493
"Rwanda News Agency"	0.174368
"Kyodo News"	0.173779
"New Light"	0.171861
"Financial Mail"	0.171409
"Wen Wei Po"	0.170806
"Australian Associated Press"	0.170657
"Korean Central News Agency"	0.170151
"Middle East News Agency"	0.169941
"Sydney Morning Herald"	0.169478
Angop	0.169092
IRNA	0.167832
"Guangming Daily"	0.167632
"Business Weekly"	0.165003
"East African"	0.164234
"Daily News"	0.163724
"News Agency of Nigeria"	0.162766
"Dow Jones Newswires"	0.161894
Ansa	0.157799
"Post Express"	0.157643
"China Daily"	0.155093
"Antara News Agency"	0.154463
MENA	0.154132
Lusa	0.151591
KPL	0.150284
"Iraqi News Agency"	0.149229
Sera	0.149128
Malaya	0.149117
"Cyprus News Agency"	0.148705
gazette	0.148308
"Agence France Presse"	0.148296
"Associated Press of Pakistan"	0.147765
Bernama	0.145935
Yomiuri	0.144374
"Southern African Broadcasting Association"	0.143186
"New York Post"	0.142171
"Washington Post"	0.141389
Tous	0.141332
Inquirer	0.138111
Tass	0.136621
"Miami Herald"	0.136605
Kyodo	0.136107
"Los Angeles Times"	0.135601
Petra	0.135044
"Zambia News Agency"	0.133035
"Philippine News Agency"	0.132316
"Dallas Morning News"	0.132053
"Radio Uganda"	0.13126
Star-Ledger	0.128052
"Israel Radio"	0.127577
"Wall Street Journal"	0.127378
"Wenhui Daily"	0.126646
"South African Press Association"	0.125347
"Chicago Tribune"	0.124867
"Islamic Republic News Agency"	0.123875
Reuters	0.123587
"press agency"	0.123514
Dominion	0.122505
weekly	0.119905
"Xinhua News Agency"	0.118413
BS	0.118301
Tanjug	0.118232
Times	0.118002
"Agence France-Presse"	0.117529
PTI	0.116327
Guardian	0.115944
AFP	0.115497
"Detroit News"	0.113883
"Seattle Times"	0.112776
telegraph	0.112759
MTI	0.112704
INA	0.111026
"San Francisco Chronicle"	0.109972
"roll call"	0.109406
"Detroit Free Press"	0.108165
"New York Daily News"	0.107806
"Boston Herald"	0.10643
SAPA	0.104253
WAM	0.103817
Interfax	0.102415
"International Herald Tribune"	0.102318
"U.S. Labor Department"	0.10081
"New England Journal"	0.100788
"Anatolia News Agency"	0.100774
"Denver Post"	0.100186
Itar-Tass	0.100147
ATA	0.100082
Akbar	0.0998219
"Beijing Daily"	0.0978933
"New York Times"	0.0967752
newsmagazine	0.0966944
"Hartford Courant"	0.0962183
"Kansas City Star"	0.0961681
"Arizona Republic"	0.09509
"Athens News Agency"	0.0948503
"Vietnam News Agency"	0.0948414
"Philadelphia Inquirer"	0.0948052
"United Press International"	0.0946385
"Central Bureau of Statistics"	0.0934172
"Statistics Canada"	0.0932233
"Evening Standard"	0.0931778
"National Association of Realtors"	0.0897299
"U.S. Commerce Department"	0.0891682
"China Youth Daily"	0.0880094
Tennessean	0.0875885
BBC	0.0875359
Sabah	0.0873499
Newsday	0.0867991
KUNA	0.0865267
"Bloomberg News"	0.086372
journal	0.0857308
Lancet	0.0854526
Notimex	0.0853194
"Boston Globe"	0.0847434
"news agency"	0.0846285
tabloid	0.0843305
"Village Voice"	0.0839707
tribune	0.0835995
Ruehe	0.0825705
))
(Al-Jaber (desc 1469.75) (sims
Al-Sabah	0.301178
"Alen Boksic"	0.0820822
"Ante Razov"	0.0818929
"Tore Andre Flo"	0.0782933
"Sheikh Saad"	0.0737987
"Carlos Hermosillo"	0.0735235
Vice-Foreign	0.0731826
"Raul Diaz Arce"	0.0717733
"Brian McBride"	0.0695099
"Predrag Mijatovic"	0.0678006
Al-Faisal	0.0676456
Sheik	0.0664203
"Faustino Asprilla"	0.0659891
"Gabe Muoneke"	0.0656052
Al-Thani	0.0646838
al-Sahaf	0.0645643
"Tiffeny Milbrett"	0.0645097
Welton	0.0640599
"Harry Kewell"	0.0640011
"Roy Lassiter"	0.0630976
"Jarvis Turner"	0.0629997
"Economic Affairs"	0.0628866
"Norodom Ranariddh"	0.0625004
"Kevin Freeman"	0.0623763
"Paolo Di Canio"	0.0615575
Gurirab	0.0609985
"minister of finance"	0.0596759
Sabah	0.0590296
"Richard Jefferson"	0.0585824
"Corliss Williamson"	0.0574818
"crown prince"	0.0574763
"Dale Davis"	0.0570754
"Hao Haidong"	0.0570718
"Stern John"	0.057026
"Mark Madsen"	0.0569297
"Dennis Bergkamp"	0.0567982
"Raul Gonzalez"	0.0567868
al-Maktoum	0.0566815
"Prince Saud Al-Faisal"	0.0564297
"Tamika Catchings"	0.0562941
al-Nahyan	0.0562007
"Oliver Bierhoff"	0.0561797
Thani	0.0558332
"Dwight Yorke"	0.0555558
Majali	0.0551141
"Cindy Parlow"	0.0551076
"Grant Long"	0.0550163
Edberg	0.0548433
"Ian Wright"	0.0547396
"Kenny Thomas"	0.054671
"Chris Carrawell"	0.0545471
Piero	0.0541045
"Alexei Kovalev"	0.0539397
"Austin Croshere"	0.0539078
al-Sahhaf	0.0537544
"Luis Hernandez"	0.0528494
"Brian Grant"	0.052751
"Michael Wright"	0.0526599
"South Pacific Forum"	0.0524971
"Thierry Henry"	0.0523288
al-Khalifa	0.0518934
"Adrian Ilie"	0.0515078
"Shannon MacMillan"	0.0514482
"Marcelo Salas"	0.0511371
"Claudio Lopez"	0.051083
Suker	0.051062
Anelka	0.0510297
"Sheryl Swoopes"	0.0507232
"Minister Shlomo Ben-Ami"	0.0506998
"Christophe Dugarry"	0.0505086
"Marcus Fizer"	0.0503799
Baz	0.0501961
"Sun Wen"	0.0499716
"Brian Laudrup"	0.0498808
"Davor Suker"	0.0497811
"Ali Daei"	0.0497373
al-Khatib	0.0497188
"Shane Battier"	0.0494405
"Rodney Rogers"	0.049389
"Shawn Marion"	0.0493251
al-Saud	0.0492102
Salas	0.0490679
Broek	0.0490516
"Jerome Moiso"	0.0486394
"Khodadad Azizi"	0.0485477
"Sean Farnham"	0.0482023
"Brian Scalabrine"	0.0481131
Fahd	0.0477818
Juncker	0.0477578
"Valery Pustovoitenko"	0.0475017
"Tim Thomas"	0.0472958
"Lamond Murray"	0.0472485
"Joe Smith"	0.047221
"Grant Marshall"	0.0471933
"David Trezeguet"	0.0471354
"Enrico Chiesa"	0.0470697
"Ivan Zamorano"	0.0470222
"Shareef Abdur-Rahim"	0.0470156
Uruguayan	0.0468497
"Sam Clancy"	0.0467932
"Romano Prodi"	0.0467917
MLS	0.0467062
septuplets	0.0466454
"Rick Tocchet"	0.0465717
"Patrick Kluivert"	0.0465503
Qatari	0.0464967
"Mike Miller"	0.0464662
"Eric Wynalda"	0.0464061
"Chris Crawford"	0.0463721
Vieri	0.0463003
"Clarence Weatherspoon"	0.0462678
"Chris Porter"	0.0462062
"Gabriel Batistuta"	0.0461202
Tella	0.0461192
"Hail Mary"	0.0457808
"Fernando Henrique Cardoso"	0.0457727
"Matt Harpring"	0.045738
"Theo Ratliff"	0.0456783
"Gary Trent"	0.0455769
Asia-Europe	0.0455378
Raul	0.0454696
"Clifford Robinson"	0.045343
"SCOTT BURRELL"	0.0453029
"Joe-Max Moore"	0.0452725
"Blake Sloan"	0.0452458
"Alan Shearer"	0.0451564
"Raef LaFrentz"	0.0451227
"Victor Chernomyrdin"	0.0451222
"Wang Tao"	0.0450579
"Jordanian King Abdullah Bin Hussein"	0.0449987
"Cedric Ceballos"	0.0449767
"Kris Clack"	0.0448757
"Chris Mills"	0.044873
IGC	0.0447149
"Defense Secretary"	0.0440951
"Rasheed Wallace"	0.0439577
Dehaene	0.0439146
Amir	0.0438843
"Robert Traylor"	0.0437875
Yemeni	0.0437853
"Consultative Group"	0.0435206
"Bill Guerin"	0.043472
"Roberto Baggio"	0.0434145
Nicol	0.0433038
"Begum Khaleda Zia"	0.043275
Penders	0.0431685
Sharaa	0.043144
Kabariti	0.0430483
"Tyrone Nesby"	0.0430308
"Keith Van Horn"	0.0430264
"Detlef Schrempf"	0.0429405
Cypriot	0.0428447
"DeLisha Milton"	0.0427969
Okada	0.0426982
al-Sharaa	0.0426948
"Filippo Inzaghi"	0.042659
"Alan Henderson"	0.0426441
"Chavalit Yongchaiyudh"	0.0426126
"Chris Gatling"	0.0425724
"insurance broker"	0.042503
Batistuta	0.0424768
"Rebecca Lobo"	0.0424759
"Ruben Patterson"	0.0424002
Sahnoun	0.0423844
"Cobi Jones"	0.0423597
"Kendall Gill"	0.0422892
"Danny Manning"	0.0421677
"Nwankwo Kanu"	0.0421311
"Juwan Howard"	0.04194
supplicant	0.0417421
"Ulf Kirsten"	0.0416452
BBOX	0.0416069
"Samaki Walker"	0.0415007
"Sean Elliott"	0.0414968
Shara	0.0413897
Pasha	0.0413366
"Boutros Boutros Ghali"	0.0412994
"U.S. Soccer Federation"	0.041121
"Dejan Savicevic"	0.0409662
"Matthew Barnaby"	0.040954
"Glenn Robinson"	0.0409386
"JaRon Rush"	0.0409177
"Brian Skinner"	0.0408335
"Derrick Coleman"	0.0408234
"Commonwealth Ministerial Action Group"	0.0407577
"Alessandro Del Piero"	0.0407446
"Othella Harrington"	0.0404928
"Matt Bullard"	0.0404264
minster	0.0404066
"Jamal Mashburn"	0.0403363
"Christian Laettner"	0.0402882
"Fabrizio Ravanelli"	0.0402702
"Ole Gunnar Solskjaer"	0.0402591
Maktoum	0.0400742
"Antonio Davis"	0.0400383
rial	0.0400205
))
(al-Khalifa (desc 4054.56) (sims
Al-Thani	0.335395
Khalifa	0.313388
Thani	0.286492
al-Maktoum	0.202124
Nahyan	0.188642
Al-Sabah	0.161864
al-Bashir	0.159395
"Saudi King Fahd Ibn Abdul-Aziz"	0.157434
al-Nahyan	0.15481
al-Khatib	0.151479
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.136686
al-Sahaf	0.134653
el-Ganzouri	0.131313
"Prince Abdullah Ibn Abdul-Aziz"	0.130996
emir	0.126224
"Atef Obeid"	0.126059
"Jordanian King Hussein"	0.12598
al-Shara	0.125198
"President Hafez Al-Assad"	0.121852
al-Sahhaf	0.121221
"Goran Persson"	0.120558
Amir	0.119428
"King Hassan II"	0.118993
"Abdul Karim Kabariti"	0.118811
"Prime Minister Kamal El-Ganzouri"	0.117314
Kharrazi	0.116892
"Secretary General Esmat Abdel-Meguid"	0.115637
"Secretary General Esmat Abdul-Meguid"	0.115355
"Wlodzimierz Cimoszewicz"	0.115333
al-Sharaa	0.114895
Saleh	0.114171
"Pascoal Mocumbi"	0.114073
"Jordanian King Abdullah Bin Hussein"	0.1133
Maktoum	0.113203
Muoi	0.11313
Azad	0.11266
Majali	0.111095
"Rafik Hariri"	0.110902
Mohamad	0.110307
"Jerzy Buzek"	0.109759
"Ricardo Alarcon"	0.109756
"Bashkim Fino"	0.109116
Jayakumar	0.108223
Fahd	0.107793
"Vo Van Kiet"	0.107483
"Antonio Guterres"	0.106989
"Valery Pustovoitenko"	0.106862
Ruehe	0.106437
Ikimi	0.105717
Khaddam	0.104967
Sumaye	0.104857
"Frederick Sumaye"	0.10461
Kabariti	0.103843
"Meles Zenawi"	0.103742
Stoyanov	0.102866
Sharaa	0.10279
Moussa	0.102771
Meguid	0.101798
Luong	0.10164
al-Hariri	0.1015
Gurirab	0.101466
Tella	0.101393
"Chuan Leekpai"	0.101024
"Chavalit Yongchaiyudh"	0.10078
"Romano Prodi"	0.100327
Baz	0.100295
"Ivan Kostov"	0.0992172
Phieu	0.0990718
"crown prince"	0.099067
"Jose Maria Aznar"	0.0985062
"Saudi King Fahd"	0.0984773
"Kamal Kharrazi"	0.0983234
"George Robertson"	0.0982131
"Suleyman Demirel"	0.0980253
"Goh Chok Tong"	0.0976237
Shara	0.0975008
Guterres	0.0974561
"King Hussein"	0.0972859
"Qian Qichen"	0.0968322
"Tang Jiaxuan"	0.0964015
Abdel-Meguid	0.0962329
"Abdul Salam Majali"	0.0960159
"Pandeli Majko"	0.0951296
Velayati	0.0947504
"Tareq Aziz"	0.0945228
al-Assad	0.0943565
"Paavo Lipponen"	0.0937362
Hamad	0.0935497
"Lamberto Dini"	0.0935083
"Jean Chretien"	0.0931244
Al-Faisal	0.0929546
"Igor Ivanov"	0.092111
"Mesut Yilmaz"	0.0913519
"Igor Sergeyev"	0.0910569
"Esmat Abdel Meguid"	0.0908298
"Atal Bihari Vajpayee"	0.0906329
Pangalos	0.090536
Klestil	0.0904207
Scalfaro	0.0903586
Chissano	0.0901955
"Salim Hoss"	0.0900952
"Yoshiro Mori"	0.0889832
"Sheikh Hasina"	0.0888479
"John Bruton"	0.0884748
Rifkind	0.0883902
"Phan Van Khai"	0.0881821
Komura	0.0880228
"Lionel Jospin"	0.0878937
Nzo	0.0876248
"Radu Vasile"	0.0869184
"Amr Moussa"	0.0867221
"Ismail Cem"	0.0865588
Mubarak	0.0859836
"Keizo Obuchi"	0.0857623
Fino	0.0855363
"Chief Executive Tung Chee-hwa"	0.0854189
"Girija Prasad Koirala"	0.0847743
"Than Shwe"	0.0843968
"Bulent Ecevit"	0.0839397
"Mahmoud Zouebi"	0.0838693
Demirel	0.0836184
"William Cohen"	0.0835856
"Victor Chernomyrdin"	0.083515
"Necmettin Erbakan"	0.08306
Nazarbayev	0.0830022
Talal	0.0829764
Klima	0.0829577
Hasina	0.0829167
Moratinos	0.0824616
"Tariq Aziz"	0.0824334
Akayev	0.0823424
Lipponen	0.0820417
"Benazir Bhutto"	0.0819999
Shevardnadze	0.0819975
"King Fahd"	0.0817253
"Jenny Shipley"	0.0815698
"Atal Behari Vajpayee"	0.0814685
"Faisal Husseini"	0.0813728
"Mikulas Dzurinda"	0.0812271
Dini	0.0809227
Dehaene	0.0807517
Juncker	0.0806476
"Wim Kok"	0.0801108
"Hosni Mubarak"	0.0797873
"Inder Kumar Gujral"	0.0797005
Kasoulides	0.0795304
"Costas Simitis"	0.0786457
Pustovoitenko	0.078509
"de Charette"	0.0782861
al-Saud	0.0781456
"Bertie Ahern"	0.0781326
"H.D Deve Gowda"	0.0778209
"Sergei Stepashin"	0.0774312
"Secretary General Boutros Boutros-Ghali"	0.077099
"Boutros Boutros Ghali"	0.0769473
Chretien	0.0768421
"Emperor Akihito"	0.0766991
Niyazov	0.0766719
"Fayez Tarawneh"	0.0766009
"Minister Shlomo Ben-Ami"	0.0762709
Mkapa	0.0761625
"Bill Skate"	0.0761386
Kavan	0.0760776
Sheik	0.0759852
"Prime Minister Banharn Silpa-Archa"	0.0759551
"Jaswant Singh"	0.0758546
Shareh	0.0756223
Siazon	0.0755149
Vedrine	0.0750482
"Lee Hsien Loong"	0.0750468
"Alain Juppe"	0.0750074
"Jacques Chirac"	0.0749454
Granic	0.0748572
"Sher Bahadur Deuba"	0.0747837
Kuchma	0.0746318
Gaddafi	0.0745018
"John Major"	0.0744582
"Mikhail Kasyanov"	0.0741423
"Yevgeny Primakov"	0.0739162
Rodionov	0.0738866
Cem	0.0738152
"Yuri Maslyukov"	0.0737191
Khai	0.0735677
"Sartaj Aziz"	0.0730251
Qian	0.0729272
Ikeda	0.0726824
Sabah	0.0726126
"Viktor Chernomyrdin"	0.0726019
Ganzouri	0.0725374
Zeroual	0.0725132
Alatas	0.0724705
"Chi Haotian"	0.0723024
Leghari	0.0722655
"William Perry"	0.0722112
"King Abdullah"	0.0721701
"Deve Gowda"	0.0716938
"Sergei Kiriyenko"	0.0714624
Museveni	0.0714334
Vice-Premier	0.0712715
"Ung Huot"	0.0711136
))
(al-Khatib (desc 1937.3) (sims
al-Shara	0.273956
"Prince Saud Al-Faisal"	0.264133
el-Ganzouri	0.257165
"Valery Pustovoitenko"	0.248179
al-Sahaf	0.246466
Majali	0.239681
Al-Thani	0.235911
al-Hariri	0.235655
"Abdul Karim Kabariti"	0.234609
"Kamal Kharrazi"	0.218685
Pangalos	0.216152
al-Sahhaf	0.213095
"Vo Van Kiet"	0.211978
Tella	0.206704
"Atef Obeid"	0.206634
Komura	0.206161
"Lamberto Dini"	0.20566
Shara	0.204676
"Suleyman Demirel"	0.204504
"Abdul Salam Majali"	0.20406
"Jordanian King Abdullah Bin Hussein"	0.203416
"Salim Hoss"	0.201395
"Ivan Kostov"	0.19967
"Amr Moussa"	0.198417
al-Sharaa	0.198021
Shareh	0.197327
Sharaa	0.196311
"King Abdullah Bin Hussein"	0.195799
"Hosni Mubarak"	0.195032
Kabariti	0.192418
Al-Faisal	0.191151
Vedrine	0.188239
"Hubert Vedrine"	0.187958
"Jose Maria Aznar"	0.187746
Cem	0.185887
"Secretary General Esmat Abdul-Meguid"	0.185709
"Radu Vasile"	0.184742
"Rafik Hariri"	0.184126
"Wim Kok"	0.184024
"Saudi King Fahd Ibn Abdul-Aziz"	0.183666
Kharrazi	0.182505
Ikimi	0.182196
Khaddam	0.181273
Jayakumar	0.180722
"Ismail Cem"	0.179304
Saleh	0.178123
"Fayez Tarawneh"	0.176202
"Paavo Lipponen"	0.176148
"Secretary General Esmat Abdel-Meguid"	0.1761
Dini	0.174743
"Igor Ivanov"	0.172745
"Phan Van Khai"	0.171216
"Necmettin Erbakan"	0.169262
Dehaene	0.169173
"Goran Persson"	0.168638
Gurirab	0.168343
"John Bruton"	0.167689
"Saudi King Fahd"	0.166214
Guterres	0.165198
Ivanov	0.16284
"Wlodzimierz Cimoszewicz"	0.162426
Lipponen	0.161191
"Tang Jiaxuan"	0.161031
Abdel-Meguid	0.160974
Al-Sabah	0.160915
"Prime Minister Kamal El-Ganzouri"	0.160115
Moussa	0.159373
Phieu	0.159107
Rifkind	0.158979
al-Bashir	0.158677
"King Abdullah II"	0.158391
"Abidine Ben Ali"	0.158057
Ikeda	0.157276
"Esmat Abdel Meguid"	0.156353
Alatas	0.15592
"Igor Sergeyev"	0.155813
"President Hafez Al-Assad"	0.155759
Kasoulides	0.155189
"Klaus Kinkel"	0.153558
"Frederick Sumaye"	0.153383
Pustovoitenko	0.153067
Stoyanov	0.152703
Boueiz	0.152521
Meguid	0.152503
"Abdullah Ahmad Badawi"	0.152016
Goh	0.151984
al-Khalifa	0.151479
Juncker	0.150499
"Yoshiro Mori"	0.148968
"de Charette"	0.147672
"Mesut Yilmaz"	0.147533
"Romano Prodi"	0.146609
"Amnuay Virawan"	0.146552
Demirel	0.146151
Ben-Ami	0.145983
Muoi	0.145704
"Inder Kumar Gujral"	0.145216
Ruehe	0.144988
Lahoud	0.144611
Nzo	0.144439
Velayati	0.143315
Hariri	0.143017
Santer	0.142817
Mubarak	0.142811
"Costas Simitis"	0.141522
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.141473
Luong	0.141319
Fino	0.141033
Moratinos	0.140921
"Minister Shlomo Ben-Ami"	0.140329
"David Levy"	0.13902
Azad	0.138971
"Jerzy Buzek"	0.138959
al-Nahyan	0.138293
"Meles Zenawi"	0.137914
"Tareq Aziz"	0.13771
"Chuan Leekpai"	0.137687
"Saeb Erekat"	0.137604
Mkapa	0.136758
Rodionov	0.136666
"Jean Chretien"	0.135495
Gaddafi	0.135334
Camdessus	0.134929
"Pascoal Mocumbi"	0.134732
"Chi Haotian"	0.134684
"Lionel Jospin"	0.134648
"Sheikh Hasina"	0.134181
"Than Shwe"	0.133599
Axworthy	0.132901
Kuchma	0.13282
"Atal Bihari Vajpayee"	0.132004
Simitis	0.131859
"Bertie Ahern"	0.131804
Siazon	0.131398
Hrawi	0.13113
Pickering	0.130575
Vice-Premier	0.130215
Gujral	0.130069
Granic	0.129745
"Jacques Chirac"	0.129644
"Prince Abdullah Ibn Abdul-Aziz"	0.129513
"Girija Prasad Koirala"	0.129472
"Defense William Cohen"	0.128949
"Goh Chok Tong"	0.128934
"Qian Qichen"	0.128822
"Boutros Boutros Ghali"	0.128726
Bouteflika	0.12862
"Chavalit Yongchaiyudh"	0.128443
Qian	0.128421
Solana	0.127469
"Bashkim Fino"	0.127062
"Abu Mazen"	0.126149
Sergeyev	0.125693
"Mahmoud Abbas"	0.125066
"Antonio Guterres"	0.124625
Kavan	0.12435
Nazarbayev	0.124187
el-Baz	0.124165
Schuessel	0.123868
"Tariq Aziz"	0.123844
Ganzouri	0.123818
Scalfaro	0.123811
"George Robertson"	0.123442
"Lee Hsien Loong"	0.123397
"Mikulas Dzurinda"	0.123345
"Bulent Ecevit"	0.122401
Aziz	0.121983
Wolfensohn	0.121687
"Benazir Bhutto"	0.121464
"Atal Behari Vajpayee"	0.121246
Constantinescu	0.121174
Sumaye	0.120472
Meles	0.119905
Akayev	0.119621
Chretien	0.119598
"Binyamin Netanyahu"	0.119304
"Jaswant Singh"	0.11905
Talbott	0.118926
"Deve Gowda"	0.118818
"De Soto"	0.118815
"Jenny Shipley"	0.118384
Chissano	0.118378
Kinkel	0.118348
Alarcon	0.118333
Insulza	0.118185
Karimov	0.117966
"William Perry"	0.11731
Garang	0.117158
"I.K Gujral"	0.11713
Ahtisaari	0.117004
"William Cohen"	0.117
al-Assad	0.116144
"Maung Aye"	0.116135
"Alain Juppe"	0.1158
"King Abdullah"	0.115748
"Yuri Maslyukov"	0.115154
"John Howard"	0.115073
Thani	0.11493
Ahern	0.11452
Kostov	0.11449
Diouf	0.11429
Mohamad	0.113925
"Fernando Henrique Cardoso"	0.113491
"Sartaj Aziz"	0.113347
Shipley	0.112928
Kwasniewski	0.112862
"Ryutaro Hashimoto"	0.112794
"Krishna Prasad Bhattarai"	0.112559
Prueher	0.112515
Ciller	0.11239
Museveni	0.112015
Downer	0.111546
Juppe	0.111275
Shevardnadze	0.111248
Deuba	0.111172
"Mahmoud Zouebi"	0.111144
Klima	0.111044
"Jordanian King Hussein"	0.110893
Kono	0.110717
"Javier Solana"	0.110691
"Ricardo Alarcon"	0.110679
"Oded Eran"	0.110584
Mordechai	0.110443
Narayanan	0.109834
"Lokendra Bahadur Chand"	0.109748
"Victor Chernomyrdin"	0.109608
Barshefsky	0.109601
"Tim Fischer"	0.109574
"Speaker Ali Akbar Nateq-Nouri"	0.109565
Rakhmonov	0.109437
"Robin Cook"	0.109243
Zou	0.108868
"Keizo Obuchi"	0.108718
Surin	0.108418
"King Hussein"	0.108145
"crown prince"	0.108021
Hasina	0.107777
Vollebaek	0.1077
Malan	0.107675
Khai	0.107515
"John Major"	0.106708
Abbas	0.106525
Frei	0.10604
"deputy foreign minister"	0.105709
"Ernesto Zedillo"	0.105349
Vajpayee	0.104799
Fischer	0.104667
"Ung Huot"	0.10457
Zhu	0.103811
"William S. Cohen"	0.103779
Tsang	0.103346
Brundtland	0.103233
Aznar	0.103208
Klestil	0.10292
Muluzi	0.102918
"Shimon Peres"	0.102785
"Vaclav Klaus"	0.102524
Holl	0.102317
Shaath	0.102123
Scharping	0.101898
"Li Peng"	0.101423
Niyazov	0.101413
Clerides	0.100771
Chavalit	0.100222
Broek	0.100123
))
(al-Maktoum (desc 1368.47) (sims
Maktoum	0.380119
Nahyan	0.245823
al-Khalifa	0.202124
al-Nahyan	0.153725
Al-Sabah	0.121245
Khalifa	0.117412
al-Sahaf	0.116585
Fahd	0.115479
Baz	0.107967
Thani	0.105479
Al-Thani	0.1031
al-Saud	0.0933974
"Saudi King Fahd Ibn Abdul-Aziz"	0.0931953
"Prince Abdullah Ibn Abdul-Aziz"	0.0901773
"Paul Kagame"	0.084391
Talal	0.0802455
Mohamad	0.0793314
Hamad	0.0773331
"Leon Brittan"	0.0689436
emir	0.0668228
Khalid	0.0654022
Al-Faisal	0.0627362
"Speaker Ali Akbar Nateq-Nouri"	0.0627324
Dostum	0.0625241
al-Shara	0.0610885
"Frederick Sumaye"	0.0606856
Sharaa	0.0589103
"minister of finance"	0.0588584
al-Khatib	0.0585744
Lewises	0.056882
Al-Jaber	0.0566815
Sabah	0.0565832
"Saudi King Fahd"	0.0558118
Tella	0.0551046
"Economic Affairs"	0.0546234
Amir	0.0532462
"Fayez Tarawneh"	0.0527428
"Economic Development"	0.052398
Sheik	0.0514622
Shara	0.0494155
"Valery Pustovoitenko"	0.0493951
al-Sahhaf	0.0468812
"Anita DeFrantz"	0.0459329
al-Hariri	0.0447558
"Kiichi Miyazawa"	0.0446842
"Sergei Stepashin"	0.044595
"Tim Fischer"	0.0444309
el-Ganzouri	0.0443808
"Krishna Prasad Bhattarai"	0.0438288
Gurirab	0.0436616
"Chinese Government Reception Committee"	0.0431492
"H.D Deve Gowda"	0.042956
"Prince Saud Al-Faisal"	0.042649
Finkelstein	0.0422888
Pasha	0.042075
sa	0.04116
"Marzuki Darusman"	0.0410671
"Abdul Salam Majali"	0.040834
"Seamus Mallon"	0.0407145
"Lokendra Bahadur Chand"	0.0405894
"Lucy Edwards"	0.0403322
"Pascoal Mocumbi"	0.0400302
))
(al-Megrahi (desc 3127.02) (sims
"Shawn Berry"	0.136127
Priebke	0.126481
Kalejs	0.121979
Swango	0.118585
"Lawrence Russell Brewer"	0.11573
"Russell Henderson"	0.10378
"Terry Nichols"	0.101737
"Aaron McKinney"	0.101455
Libyan	0.0999085
Barrionuevo	0.0981559
Ntakirutimana	0.0968479
Soliah	0.095903
Agca	0.0932933
Giacchetto	0.0923648
"Shawn Allen Berry"	0.0913438
"intelligence agent"	0.0877992
Noriega	0.085805
Lundy	0.0855008
Kazhegeldin	0.0824546
Nikitin	0.0824064
"Maturino Resendiz"	0.0818334
Ntuyahaga	0.0815383
Shayler	0.0814339
"Dinko Sakic"	0.0805666
"Martin Frankel"	0.0798748
Baumhammers	0.0791533
Fortier	0.0788341
Whitacre	0.0770923
Papon	0.0758423
Lileikis	0.0758401
Haouari	0.0754972
Blackthorne	0.0751118
Francois	0.0750701
Carruth	0.0745298
"Maturino Resendez"	0.0743255
Shipman	0.0742008
Sheinbein	0.0741182
"Del Toro"	0.0735025
"Cary Stayner"	0.0734328
Demjanjuk	0.0730808
"El Hage"	0.0718346
Sakic	0.0714008
Akayesu	0.0712676
furrow	0.0712633
"Radovan Karadzic"	0.0695194
"Russell Peeler"	0.0693814
Lacresha	0.0689472
"Ruiz Massieu"	0.0684056
Stayner	0.0681815
Hiett	0.0674149
"Angel Maturino Resendiz"	0.0662477
Carneal	0.0655344
Natale	0.0655303
"Iranian Jews"	0.0647938
Mendez	0.0647069
Kaczynski	0.0643545
"Ahmed Ressam"	0.0643007
accomplice	0.0633426
Ghani	0.0629871
Gutman	0.0628184
Einhorn	0.0626335
Trie	0.0626095
leeson	0.0625474
Merlino	0.0622429
Neulander	0.0619012
Hage	0.061703
Hsia	0.0616366
Kimeses	0.0612663
Mitnick	0.0610079
Salemme	0.0609018
Kambanda	0.0607083
"David Hale"	0.0607012
Meskini	0.0603028
Limon	0.0602716
Bowers	0.0598972
Schweitzer	0.0598909
Piggie	0.0598762
Karr	0.059738
"Ratko Mladic"	0.0590959
Musa	0.0581477
Valenzuela	0.0579838
Villanueva	0.0579412
Alarcon	0.0575722
"two @@-year-olds"	0.0575023
Abernathy	0.057135
Manbar	0.0569285
Kovacevic	0.0569244
Bhutto	0.0568024
Lazarenko	0.0566894
Mikhailov	0.0562642
"Richard Jewell"	0.0558719
Dokmanovic	0.0558466
provocateurs	0.0557721
"police sergeant"	0.0557205
Hoke	0.0553916
"Timothy McVeigh"	0.055327
"Bin Laden"	0.0551724
Krstic	0.0551641
Gauthe	0.0551371
Kagalovsky	0.0551206
Schreiber	0.0549863
Hamid	0.0549368
"Michael Skakel"	0.0549295
Gotti	0.0547004
Gravano	0.0546657
Trevi	0.0543393
Coolio	0.0542627
chun	0.0532431
"Justin Volpe"	0.0531923
"Carlos Salinas"	0.0530956
"W.R. Grace"	0.0528621
"Theodore Kaczynski"	0.0527701
Fabius	0.0522859
Mattysse	0.0522798
Rowe	0.0521511
Ressam	0.0519227
Mladic	0.051726
Karbaschi	0.0514229
co-conspirator	0.0513833
Kopp	0.0512519
Fuhrman	0.0507819
Nkabinde	0.0505983
Winkler	0.0504514
"Bosnian Croat"	0.050222
Robison	0.0499081
Hirschfeld	0.0498839
LaBella	0.0498738
Ruelas	0.049853
Nathaniel	0.0498471
Sebaggala	0.0497857
Hazelwood	0.0496441
"John William King"	0.0491508
Bakaly	0.0490118
Crocker	0.0489574
Capano	0.0489132
Hubbell	0.0488236
Vasquez	0.0487175
Hensley	0.0486951
"Wen Ho Lee"	0.0486743
Grossberg	0.0483751
Brazill	0.0481242
Mustafa	0.0479229
Sithole	0.0477954
Alves	0.0477844
"Bosnian Serb"	0.0477388
Nichols	0.0477166
"Xu Wenli"	0.0476701
Ahmed	0.0473423
Boesak	0.0472708
Kehoe	0.0471998
"Julie Hiatt Steele"	0.0470899
Blanton	0.0470168
Martorano	0.0469853
Ziegler	0.0468373
Rashid	0.0465498
Fagan	0.0465264
Cianci	0.04652
Resendez-Ramirez	0.0464622
Shulman	0.0462801
Shinn	0.0462081
Karadzic	0.0461934
Bruton	0.0459838
McKinney	0.0459024
Figueroa	0.0458918
Ng	0.0457133
Claes	0.0456556
Cisneros	0.0455239
Deri	0.0454134
Jelisic	0.0451083
Berlusconi	0.0450712
Volpe	0.0450306
"Albert Pirro"	0.0450058
Hatfield	0.0449891
Combs	0.044874
Roh	0.044842
Oviedo	0.0448098
Kimes	0.0447991
Mease	0.0445481
Bly	0.0445345
AUM	0.044523
Babitsky	0.0445049
"Marianne Gingrich"	0.0444607
Nasrin	0.0444059
Skakel	0.0441696
McCormick	0.0437381
Kozeny	0.0436815
Sweeting	0.0436782
Cheung	0.0435549
twenty-eight	0.0435032
Kulikov	0.0434745
Raduyev	0.0434056
"Ray Lewis"	0.0430289
Bowe	0.0428748
Algerian	0.0426214
Laudor	0.0424821
"Eric Harris"	0.0423905
"Raul Salinas"	0.042386
"murder suspect"	0.0423826
Connolly	0.0423408
Garofalo	0.0423386
))
(al-Nahyan (desc 1370.63) (sims
Nahyan	0.46541
"Abidine Ben Ali"	0.190066
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.185714
Baz	0.163115
Abdel-Meguid	0.162783
Meguid	0.159546
"Hosni Mubarak"	0.158816
Khalifa	0.158102
"Saudi King Fahd Ibn Abdul-Aziz"	0.157858
Velayati	0.157564
al-Khalifa	0.15481
al-Maktoum	0.153725
"President Hafez Al-Assad"	0.151751
Al-Thani	0.147986
"Secretary General Esmat Abdul-Meguid"	0.146631
Jayakumar	0.146502
"Secretary General Esmat Abdel-Meguid"	0.146384
Kasoulides	0.145856
Ikeda	0.144117
"Saudi King Fahd"	0.141673
Majali	0.138689
al-Khatib	0.138293
Rifkind	0.137668
Scalfaro	0.137601
el-Ganzouri	0.137283
Vollebaek	0.135629
"Atef Obeid"	0.134993
Klima	0.132516
Al-Sabah	0.13228
Zeroual	0.13148
al-Bashir	0.129999
Kabariti	0.129785
Phieu	0.129569
Saleh	0.129435
Ikimi	0.129265
Kharrazi	0.128298
Fahd	0.127806
Juncker	0.12696
Lipponen	0.125841
"Vo Van Kiet"	0.124136
Thani	0.123808
Hamad	0.12151
Muoi	0.120984
Mkapa	0.117205
Pangalos	0.116741
Ruehe	0.116624
Diouf	0.116432
Shareh	0.116281
"Esmat Abdel Meguid"	0.116157
al-Sahaf	0.114026
Chissano	0.110982
Nzo	0.110364
Hasina	0.109663
Pustovoitenko	0.109604
al-Saud	0.109578
Juppe	0.108427
Ganzouri	0.108039
Moratinos	0.10778
Zou	0.107335
Komura	0.10706
"Jordanian King Abdullah Bin Hussein"	0.106226
Moussa	0.105654
Khaddam	0.104756
"Amr Moussa"	0.104014
Museveni	0.103955
Mubarak	0.103857
el-Bashir	0.103202
Cem	0.103004
"Phan Van Khai"	0.102515
Luong	0.102262
Gujral	0.102219
Vedrine	0.101964
"Defense William Cohen"	0.101767
Dini	0.101561
"de Charette"	0.101536
"Salim Hoss"	0.101384
"Pascoal Mocumbi"	0.101206
Gurirab	0.101129
Wolfensohn	0.100993
Constantinescu	0.100546
Bashir	0.100357
Zemin	0.100221
al-Hariri	0.0994494
Sumaye	0.0993972
Deuba	0.0991088
al-Shara	0.0987576
Jovanovic	0.0985667
"Suleyman Demirel"	0.0981714
Rong	0.0980558
"William S. Cohen"	0.0977702
Kuchma	0.0976097
Hrawi	0.0971524
"Prince Abdullah Ibn Abdul-Aziz"	0.0968856
Gaddafi	0.096477
"Prime Minister Kamal El-Ganzouri"	0.096429
Rodionov	0.0961339
Shara	0.0959816
"Jordanian King Hussein"	0.0959211
Sharaa	0.0953453
"Prince Saud Al-Faisal"	0.0952809
Stoyanov	0.0948883
Demirel	0.0948657
al-Assad	0.094725
Azad	0.0945493
"Antonio Guterres"	0.0943822
al-Sharaa	0.0941858
Maktoum	0.0940886
Meles	0.0937209
Kwasniewski	0.0936642
Mohamad	0.0934656
"Secretary General Boutros Boutros-Ghali"	0.093218
Axworthy	0.0924467
"Valery Pustovoitenko"	0.0923849
Karimov	0.0923601
Khai	0.0923189
"Rafik Hariri"	0.0921976
Gowda	0.0920867
Bolger	0.0920033
Clerides	0.0919312
Akayev	0.0919227
al-Sahhaf	0.091856
Insulza	0.0916767
"Jose Maria Aznar"	0.0915676
Modise	0.091249
"Deve Gowda"	0.0909632
Santer	0.0907491
Kostov	0.090749
Shevardnadze	0.0903008
"King Fahd"	0.0899986
"Kamal Kharrazi"	0.0893404
"King Abdullah Bin Hussein"	0.0892481
"Tariq Aziz"	0.0892189
Brahimi	0.0890486
Pickering	0.0889781
Kumaratunga	0.0888064
Granic	0.0887014
"Abdul Karim Kabariti"	0.0885675
"Qian Qichen"	0.0882919
"Jacques Chirac"	0.0882645
"Mahmoud Zouebi"	0.0882374
Al-Faisal	0.0881461
Bruton	0.0879955
Niyazov	0.0873752
"Goran Persson"	0.0873696
Guterres	0.0870394
Nasrallah	0.0867254
"Jerzy Buzek"	0.0867071
"Tareq Aziz"	0.0865895
Kok	0.0861291
"Than Shwe"	0.086074
Alatas	0.0860207
"Meles Zenawi"	0.0856778
"Costas Simitis"	0.0855209
Xanana	0.0854212
"Inder Kumar Gujral"	0.0853817
"I.K Gujral"	0.0853265
Ghali	0.0851803
Bouteflika	0.0850614
Husseini	0.084885
Brittan	0.0847163
Boueiz	0.0844047
Shipley	0.0837416
"King Birendra"	0.0837312
Kyprianou	0.0835703
FM	0.0828704
Malu	0.082779
"Salim Ahmed Salim"	0.0827294
"Ivan Kostov"	0.0825798
"Kim Dae Jung"	0.0824437
"Boutros Boutros Ghali"	0.0821283
"Secretary-General Boutros Boutros-Ghali"	0.0821029
Leghari	0.0820181
Klestil	0.081914
Vice-Premier	0.0819068
"Prime Minister Banharn Silpa-Archa"	0.0818472
Sampaio	0.0817354
"Mikulas Dzurinda"	0.0815305
Ciampi	0.0814813
Aziz	0.0813768
Frei	0.0810765
"Vaclav Klaus"	0.0809093
"Chuan Leekpai"	0.0807837
"Cambodian King Norodom Sihanouk"	0.0807488
Dehaene	0.0807222
Orban	0.0803668
Qiao	0.080069
"Wlodzimierz Cimoszewicz"	0.0799285
"Chief Executive Tung Chee-hwa"	0.0797124
"Chavalit Yongchaiyudh"	0.0796619
"President Kim Young-sam"	0.0794382
Stroyev	0.0792789
Simitis	0.0791452
Qian	0.0790523
"Frederick Sumaye"	0.0789927
Banzer	0.0788272
Goh	0.0786651
Peng	0.0785208
Lahoud	0.0776937
"Maung Aye"	0.0776578
Tsang	0.0776111
))
(Al-Sabah (desc 6686.67) (sims
Al-Jaber	0.301178
"Prince Abdullah Ibn Abdul-Aziz"	0.19408
Al-Thani	0.19106
el-Ganzouri	0.180315
Majali	0.171055
"Saudi King Fahd"	0.166398
"Prime Minister Kamal El-Ganzouri"	0.1641
"Saudi King Fahd Ibn Abdul-Aziz"	0.161873
al-Khalifa	0.161864
"Frederick Sumaye"	0.161506
al-Khatib	0.160915
"Atef Obeid"	0.157495
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.15681
"Meles Zenawi"	0.155469
"Wlodzimierz Cimoszewicz"	0.155054
"Abidine Ben Ali"	0.15368
"Sheikh Saad"	0.150123
al-Sharaa	0.145887
"Romano Prodi"	0.145429
al-Shara	0.143919
"Salim Hoss"	0.143699
"Jordanian King Abdullah Bin Hussein"	0.143343
"Costas Simitis"	0.142767
"Secretary General Esmat Abdel-Meguid"	0.142352
Stoyanov	0.141499
al-Sahaf	0.140393
"Rafik Hariri"	0.139565
"Bashkim Fino"	0.139213
"Goran Persson"	0.138571
"Chuan Leekpai"	0.137928
al-Sahhaf	0.137855
"Secretary General Esmat Abdul-Meguid"	0.136729
Sabah	0.136326
"Mesut Yilmaz"	0.135371
"Tang Jiaxuan"	0.133149
Meguid	0.132997
"John Bruton"	0.132923
"Antonio Guterres"	0.132524
al-Nahyan	0.13228
al-Bashir	0.131982
"Mikhail Kasyanov"	0.131259
"Minister Shlomo Ben-Ami"	0.130096
"Jose Maria Aznar"	0.130096
Ganzouri	0.129687
Kabariti	0.12959
"Lee Hsien Loong"	0.129463
"Igor Sergeyev"	0.12932
"Yuri Maslyukov"	0.129203
Alatas	0.128
Gurirab	0.127865
"Lionel Jospin"	0.127844
Kharrazi	0.127376
"Sheikh Hasina"	0.127284
Thani	0.127219
"Girija Prasad Koirala"	0.127067
"Chea Sim"	0.126222
"Yoshiro Mori"	0.126169
"Tariq Aziz"	0.125723
"Mikulas Dzurinda"	0.125534
"crown prince"	0.124568
"Valery Pustovoitenko"	0.124263
Kasoulides	0.123553
Nahyan	0.123311
Al-Faisal	0.12268
Baz	0.121846
al-Maktoum	0.121245
Hoss	0.120626
"Prince Saud Al-Faisal"	0.119845
"Bertie Ahern"	0.119412
Khaddam	0.119367
"Phan Van Khai"	0.119316
Shara	0.119067
Velayati	0.118926
Saleh	0.1189
Bouteflika	0.118638
Tella	0.118325
"Qian Qichen"	0.118292
Jayakumar	0.117842
Ivanov	0.117013
"de Charette"	0.117002
Komura	0.116909
"Viktor Chernomyrdin"	0.116891
Sergeyev	0.11678
Abdel-Meguid	0.116485
"Yevgeny Primakov"	0.116218
Moratinos	0.116082
Mkapa	0.115811
"Chavalit Yongchaiyudh"	0.115804
Dini	0.115056
"Kim Yong Nam"	0.114248
Rifkind	0.113736
"Defense William Cohen"	0.113522
"Abdul Karim Kabariti"	0.113245
Nazarbayev	0.113222
"deputy foreign minister"	0.112783
Qian	0.11243
"Pandeli Majko"	0.112374
"Atal Behari Vajpayee"	0.112186
Brittan	0.112042
al-Hariri	0.111932
Moussa	0.111845
"Ivan Kostov"	0.111788
Muoi	0.111124
"King Abdullah Bin Hussein"	0.11104
emir	0.110714
Moi	0.110627
"Sergei Stepashin"	0.110603
"Khin Nyunt"	0.110585
"Ryutaro Hashimoto"	0.110554
"Lamberto Dini"	0.110375
Kuchma	0.110145
"Tim Fischer"	0.109812
"Goh Chok Tong"	0.109762
"Amr Moussa"	0.109505
Juncker	0.109382
"Bulent Ecevit"	0.108849
"Igor Ivanov"	0.108647
"Hosni Mubarak"	0.108246
Deuba	0.108186
Dehaene	0.107905
"Ricardo Alarcon"	0.10765
"Atal Bihari Vajpayee"	0.107433
"Necmettin Erbakan"	0.107245
"Paavo Lipponen"	0.107159
Chretien	0.106979
"Fayez Tarawneh"	0.10686
Hariri	0.106781
"Sher Bahadur Deuba"	0.10668
"Ariel Sharon"	0.106304
Mubarak	0.106228
"Boris Nemtsov"	0.105894
"Keizo Obuchi"	0.105641
Rodionov	0.105411
"Vaclav Klaus"	0.105249
Simitis	0.105205
"Sergei Kiriyenko"	0.104943
Guterres	0.104921
"Dai Bingguo"	0.104858
"John Major"	0.104838
"George Robertson"	0.104715
"Benazir Bhutto"	0.104611
Hasina	0.104589
"Jean Chretien"	0.104542
Meles	0.104465
"Abu Mazen"	0.104394
"Wim Kok"	0.104093
"Pascoal Mocumbi"	0.103744
"Secretary-General Boutros Boutros-Ghali"	0.103347
Pangalos	0.102822
Shaath	0.102562
"H.D Deve Gowda"	0.102548
"Vo Van Kiet"	0.102394
"Yasser Abed Rabbo"	0.102329
Scalfaro	0.102272
"Jenny Shipley"	0.102244
Sharaa	0.10223
"John Prescott"	0.102026
Nzo	0.102025
undersecretary	0.10137
"William Perry"	0.100537
Zou	0.100535
Banharn	0.100387
Ikimi	0.100071
Lipponen	0.10006
Siazon	0.100022
Ruehe	0.0996498
Aziz	0.0996309
Akayev	0.0995909
Amir	0.0995476
"Speaker Ali Akbar Nateq-Nouri"	0.0991258
"William Cohen"	0.0990513
"Mahathir Mohamad"	0.0989959
Erekat	0.0989666
Shevardnadze	0.0989485
"Prime Minister Banharn Silpa-Archa"	0.0988875
Sumaye	0.0988034
Santer	0.0987166
Qiao	0.098574
Vice-Premier	0.09847
"Victor Chernomyrdin"	0.0984021
Wolfensohn	0.0981661
"Faisal Husseini"	0.0980047
vice-president	0.0979538
"Saeb Erekat"	0.0979267
"Milos Zeman"	0.097749
Chuan	0.0975609
Azad	0.0973952
Vajpayee	0.0973889
Sheik	0.0972934
Museveni	0.0972389
Schuessel	0.0968708
Lahoud	0.0965999
"Inder Kumar Gujral"	0.0965869
Vedrine	0.0961349
Surin	0.0960966
Klima	0.0960754
"David Levy"	0.0959865
Alarcon	0.0956249
Khalifa	0.0955573
Solana	0.0955529
))
(al-Sahaf (desc 1048.86) (sims
al-Sahhaf	0.368595
Ikimi	0.268203
Tella	0.249834
al-Khatib	0.246466
Jayakumar	0.23224
Al-Faisal	0.221419
Shara	0.219241
Sumaye	0.215606
Kasoulides	0.212604
Velayati	0.210771
"de Charette"	0.207741
Sharaa	0.203855
Moratinos	0.202044
Stoyanov	0.194975
al-Shara	0.192531
Gurirab	0.191619
Khai	0.189766
Meguid	0.188375
Abdel-Meguid	0.188034
Zou	0.18321
Komura	0.181967
Jovanovic	0.180834
Kabariti	0.180731
Scalfaro	0.179608
Kharrazi	0.178636
Brittan	0.178562
Mkapa	0.178175
al-Hariri	0.17629
Rifkind	0.172291
Thani	0.17097
Tsang	0.17023
"Igor Sergeyev"	0.167408
Granic	0.167314
Constantinescu	0.166181
"Lee Hsien Loong"	0.166179
Saleh	0.162533
Shareh	0.160482
Nzo	0.160061
Malu	0.159448
Ikeda	0.158799
Phieu	0.158575
Rong	0.158563
Guterres	0.158293
Boueiz	0.15816
Ogata	0.156917
Hrawi	0.156526
Juma	0.156456
Majali	0.155725
Vollebaek	0.15384
"Frederick Sumaye"	0.153469
al-Sharaa	0.153337
Klestil	0.152943
Severino	0.152161
"Secretary General Esmat Abdul-Meguid"	0.151734
Iliescu	0.151366
Pangalos	0.15135
Azad	0.151078
Ganzouri	0.150484
el-Ganzouri	0.150146
Yastrzhembsky	0.148548
"Secretary General Esmat Abdel-Meguid"	0.1484
Alatas	0.147685
"Tariq Aziz"	0.146432
Muoi	0.146224
"Abdul Karim Kabariti"	0.14541
Akayev	0.14541
Deuba	0.144991
Chissano	0.144026
Nasrallah	0.142992
Frei	0.142147
Khaddam	0.141843
"Bill Skate"	0.140414
Al-Sabah	0.140393
Tarawneh	0.139342
Tarrin	0.139161
Rodionov	0.1383
Museveni	0.138297
Bruton	0.138283
Surin	0.137814
Juncker	0.13742
Holl	0.137266
Mohamad	0.134832
al-Khalifa	0.134653
Vasile	0.134627
Rudman	0.134367
Shamshad	0.134034
Hamad	0.133792
Cem	0.13376
Pustovoitenko	0.133725
Modise	0.133704
Alarcon	0.132786
"Boutros Boutros Ghali"	0.132409
"Valery Pustovoitenko"	0.131281
Pickering	0.13031
Baz	0.129699
Sahnoun	0.129616
Nazarbayev	0.129331
Shaath	0.126366
Klima	0.125975
Kagame	0.125305
Kyprianou	0.124694
Al-Thani	0.124673
"Kamal Kharrazi"	0.124232
Grachev	0.123907
Axworthy	0.123643
"Bashkim Fino"	0.123619
Ivanov	0.123561
Chavalit	0.123232
"Chavalit Yongchaiyudh"	0.123116
Ben-Ami	0.121403
Dini	0.121203
Qiao	0.121131
Nujoma	0.121028
Ruggiero	0.120242
Siazon	0.120117
Wolfensohn	0.119959
"Abidine Ben Ali"	0.119939
Kwasniewski	0.119306
Santer	0.119219
Luong	0.11873
Scharping	0.118194
Leghari	0.118193
"Radu Vasile"	0.11796
"Minister Shlomo Ben-Ami"	0.117205
Niyazov	0.117028
Goff	0.116865
al-Maktoum	0.116585
"Secretary-General Boutros Boutros-Ghali"	0.116528
Orban	0.116472
"Prime Minister Kamal El-Ganzouri"	0.116376
"Vo Van Kiet"	0.116096
Karimov	0.11596
Gowda	0.115791
Diouf	0.115217
"Iranian Foreign Ministry"	0.115
Kavan	0.114888
Shevardnadze	0.114717
Sha	0.114526
Bashir	0.114484
Westendorp	0.114308
Kostov	0.114147
Milo	0.114077
al-Nahyan	0.114026
"Turkish Foreign Ministry"	0.11368
Hoss	0.113315
Kuchma	0.11312
Simitis	0.11306
Meles	0.112441
Aventajado	0.11221
Kono	0.112172
Kok	0.112056
LeBlanc	0.11185
Ruehe	0.111768
Banharn	0.110725
Moussa	0.110364
Hamid	0.1103
Xiong	0.110258
Aziz	0.110142
Brahimi	0.110099
"Than Shwe"	0.110093
"John Bruton"	0.109967
Hariri	0.109886
Juppe	0.109809
Ghali	0.109766
Ahtisaari	0.109743
Waigel	0.109629
Bizimungu	0.109587
Dehaene	0.109571
Insulza	0.109272
Shipley	0.109005
Lipponen	0.108949
Nahyan	0.108871
"George Robertson"	0.108627
Garang	0.108606
Harmoko	0.108532
Ahmed	0.108148
Jia	0.107884
Belo	0.107847
Ahern	0.107797
Goh	0.107643
"Amos Wako"	0.10762
"Ivan Kostov"	0.10743
Chretien	0.106944
"Bertie Ahern"	0.106378
"Khin Nyunt"	0.106061
al-Baz	0.106034
Khalifa	0.106031
Vedrine	0.106022
Chiluba	0.105424
Seleznyov	0.105351
Kinkel	0.105307
"Atef Obeid"	0.105212
"Jordanian King Abdullah Bin Hussein"	0.104946
"Phan Van Khai"	0.104929
Luo	0.104514
Stroyev	0.104321
"Goran Persson"	0.103984
Yazdi	0.103931
Clerides	0.103761
Carollo	0.103739
Downer	0.103342
Banzer	0.103335
Sergeyev	0.103311
Rawabdeh	0.103083
Gujral	0.103065
Erekat	0.102707
Cui	0.102638
"Antonio Guterres"	0.10243
Zeng	0.102311
Hasina	0.102194
"Paavo Lipponen"	0.102097
"Necmettin Erbakan"	0.101955
Muluzi	0.101826
"Mesut Yilmaz"	0.101724
Indyk	0.101704
Hu	0.101425
Demirel	0.101346
Fernandes	0.10125
"Qian Qichen"	0.101249
Fino	0.100943
Ciampi	0.100863
Broek	0.100603
Bouteflika	0.100383
Brundtland	0.10001
))
(al-Sahhaf (desc 4276.94) (sims
al-Sahaf	0.368595
"Tariq Aziz"	0.241982
Pangalos	0.220502
al-Khatib	0.213095
Komura	0.208009
Kharrazi	0.20188
Cem	0.198764
al-Shara	0.196153
Jayakumar	0.193913
Ikeda	0.189249
"de Charette"	0.187354
"Kamal Kharrazi"	0.187299
"Ismail Cem"	0.18267
"Atef Obeid"	0.18247
"Igor Ivanov"	0.182037
Sharaa	0.181867
Aziz	0.180498
al-Hariri	0.180281
al-Sharaa	0.17775
Ivanov	0.177232
Velayati	0.1765
Moratinos	0.175698
Jovanovic	0.175468
"Secretary General Esmat Abdul-Meguid"	0.1726
Kabariti	0.170446
Vedrine	0.170349
"Atal Behari Vajpayee"	0.168624
Abdel-Meguid	0.168367
Al-Faisal	0.167885
Tella	0.167828
Khaddam	0.167303
Meguid	0.167138
Ikimi	0.166958
"Lamberto Dini"	0.166936
"Salim Hoss"	0.166335
el-Ganzouri	0.16623
Moussa	0.165744
Scalfaro	0.165733
Azad	0.165685
Lipponen	0.165292
"Valery Pustovoitenko"	0.165146
Alatas	0.163905
"Secretary General Esmat Abdel-Meguid"	0.163666
"Vo Van Kiet"	0.163021
Ahtisaari	0.16292
Kinkel	0.162101
"David Levy"	0.160091
Stoyanov	0.159306
"Tang Jiaxuan"	0.159131
"Jose Maria Aznar"	0.158709
"Igor Sergeyev"	0.158309
"Rafik Hariri"	0.156449
Phieu	0.155578
"Mesut Yilmaz"	0.155115
"Atal Bihari Vajpayee"	0.15456
"Bertie Ahern"	0.153151
"Meles Zenawi"	0.152671
Dini	0.151971
"Yevgeny Primakov"	0.151681
Ganzouri	0.151249
"Lionel Jospin"	0.151115
"Inder Kumar Gujral"	0.150136
Dehaene	0.150023
Al-Thani	0.149995
Rifkind	0.149463
Gujral	0.14892
Gaddafi	0.148868
Sergeyev	0.148743
Mkapa	0.148447
Saleh	0.148276
"Abdullah Ahmad Badawi"	0.147589
"Frederick Sumaye"	0.14659
Kasoulides	0.146442
Demirel	0.146441
Majali	0.146232
"Phan Van Khai"	0.145356
"Saeb Erekat"	0.145
Ogata	0.144114
Shara	0.14331
"Jordanian King Abdullah Bin Hussein"	0.143147
"William Cohen"	0.142872
"Chavalit Yongchaiyudh"	0.142281
Narayanan	0.142176
Granic	0.142116
"Chuan Leekpai"	0.14155
Denktash	0.141475
"Tareq Aziz"	0.141207
"Speaker Ali Akbar Nateq-Nouri"	0.140609
Rakhmonov	0.140395
Lahoud	0.140128
Nzo	0.139968
Camdessus	0.138182
Al-Sabah	0.137855
Clerides	0.13758
"Jerzy Buzek"	0.137509
"Pascoal Mocumbi"	0.137454
Hrawi	0.137388
Simitis	0.137216
"Jenny Shipley"	0.137209
"Goh Chok Tong"	0.137084
Thani	0.136864
"Amr Moussa"	0.136151
Gurirab	0.136124
Hasina	0.13591
"Ivan Kostov"	0.135839
Solana	0.135682
Muoi	0.135676
"Pandeli Majko"	0.135514
Hariri	0.135489
"Paavo Lipponen"	0.135452
Juncker	0.135364
Santer	0.134498
"Deve Gowda"	0.134332
"Romano Prodi"	0.134233
"Yoshiro Mori"	0.133854
Kuchma	0.133832
Klestil	0.133587
Shareh	0.133393
"George Robertson"	0.132595
"Wim Kok"	0.13237
Qian	0.132098
"John Bruton"	0.132089
"Necmettin Erbakan"	0.132015
Boueiz	0.131952
Luong	0.131844
"John Howard"	0.13154
Chirac	0.131372
"Binyamin Netanyahu"	0.13133
"Qian Qichen"	0.131002
Hamad	0.130581
"William Perry"	0.130537
"Abdul Karim Kabariti"	0.130334
"Bashkim Fino"	0.130204
"Jean Chretien"	0.130175
"Bulent Ecevit"	0.130123
"Costas Simitis"	0.129923
Mubarak	0.129746
Ben-Ami	0.129578
Deuba	0.129067
Ruehe	0.129028
"Keizo Obuchi"	0.128826
"Radu Vasile"	0.128459
Barshefsky	0.128164
"Chief Executive Tung Chee-hwa"	0.127842
Kostov	0.127668
Pickering	0.127644
"De Soto"	0.127531
Constantinescu	0.127195
"Klaus Kinkel"	0.127109
"Wlodzimierz Cimoszewicz"	0.12699
Siazon	0.126962
Goh	0.126875
Husseini	0.126868
Chuan	0.126656
Zeroual	0.126647
"Sheikh Hasina"	0.12664
"deputy foreign minister"	0.126218
Vollebaek	0.126124
Guterres	0.125871
"Minister Shlomo Ben-Ami"	0.125164
Annan	0.125024
Musharraf	0.124789
"Robin Cook"	0.124745
Holl	0.124729
"Hubert Vedrine"	0.124667
Talbott	0.124447
Primakov	0.124394
"Lee Hsien Loong"	0.12404
Chiluba	0.12394
"Sartaj Aziz"	0.123676
"Mikulas Dzurinda"	0.123596
Axworthy	0.12351
"Than Shwe"	0.123468
Khai	0.123414
Zou	0.12335
Chissano	0.123325
Qiao	0.123267
Jospin	0.122765
Meles	0.122353
al-Bashir	0.122033
"Leon Brittan"	0.121576
"Goran Persson"	0.121534
Erekat	0.121521
"Kofi Annan"	0.121506
Surin	0.12147
al-Khalifa	0.121221
Shevardnadze	0.120959
Garang	0.120707
Chretien	0.120651
Tsang	0.120449
"Turkish Foreign Ministry"	0.120384
Nujoma	0.120383
Shipley	0.120353
Diouf	0.120254
"Nawaz Sharif"	0.119905
"Zhu Rongji"	0.119891
Pustovoitenko	0.119685
"Richard Butler"	0.119578
"Shi Guangsheng"	0.118918
"Benazir Bhutto"	0.118802
Vasile	0.11866
Downer	0.1183
Wiranto	0.117714
Nasrallah	0.117365
Moi	0.117311
Klima	0.116992
Museveni	0.116965
"Prime Minister Kamal El-Ganzouri"	0.116941
"Prime Minister Banharn Silpa-Archa"	0.11689
Grachev	0.116753
Milutinovic	0.115953
Frei	0.115909
Hoss	0.115751
"Jaswant Singh"	0.11571
Azizah	0.115202
Wolfensohn	0.115162
"Khin Nyunt"	0.115122
"Dos Santos"	0.114814
Zhu	0.114744
Nazarbayev	0.114325
"Boutros Boutros Ghali"	0.114007
Vajpayee	0.113939
"Ryutaro Hashimoto"	0.11389
Schuessel	0.113729
Karimov	0.113397
Vice-Premier	0.113098
"Chi Haotian"	0.11306
"Yuri Maslyukov"	0.112937
Kumaratunga	0.112846
Brittan	0.112469
Ciller	0.112081
"Faisal Husseini"	0.111927
Chavalit	0.111292
Brundtland	0.111258
Leghari	0.111192
"Victor Chernomyrdin"	0.111123
"Abidine Ben Ali"	0.110946
Shaath	0.110938
Indyk	0.110858
"Antonio Guterres"	0.110739
"Li Peng"	0.110216
"Prince Saud Al-Faisal"	0.109951
Akayev	0.109737
Ahern	0.10973
Alarcon	0.109705
Juppe	0.109446
"Javier Solana"	0.109235
Mordechai	0.108912
"Secretary-General Boutros Boutros-Ghali"	0.108808
Bruton	0.108766
Bildt	0.108314
Insulza	0.108161
al-Assad	0.108134
Bashir	0.108077
Albright	0.10793
"Huang Ju"	0.107675
"Khaleda Zia"	0.107405
"Sergei Kiriyenko"	0.107086
Tarawneh	0.106775
Fino	0.106292
Broek	0.106184
Niyazov	0.106115
"Viktor Chernomyrdin"	0.105894
Juma	0.105689
"John Major"	0.10566
"Alain Juppe"	0.105641
el-Bashir	0.105053
"Lokendra Bahadur Chand"	0.104689
"Ung Huot"	0.104636
Xanana	0.104507
Tung	0.104453
"Iranian Foreign Ministry"	0.104376
"President Kim Dae-jung"	0.104282
"Li Ruihuan"	0.104276
Zeng	0.104272
"H.D Deve Gowda"	0.104174
Rabbani	0.104046
Kok	0.103948
"Hun Sen"	0.103834
Kagame	0.10317
Advani	0.10314
"Joschka Fischer"	0.102877
Lukashenko	0.102857
Prodi	0.102847
Bellamy	0.102824
Zuma	0.102713
Beilin	0.102609
"Ariel Sharon"	0.102574
Menem	0.102521
"Abu Mazen"	0.102475
Luo	0.102164
"Sergei Stepashin"	0.101951
Chernomyrdin	0.10195
"Yasser Abed Rabbo"	0.101889
Orban	0.101875
"Esmat Abdel Meguid"	0.101759
"Paul Kagame"	0.101586
Sharif	0.101566
Shamshad	0.101271
"Mahathir Mohamad"	0.101268
Erbakan	0.101181
"Sher Bahadur Deuba"	0.101175
vice-president	0.10109
Arens	0.101022
Kono	0.101007
"Ehud Barak"	0.100918
Abbas	0.100794
Mbeki	0.100727
Hu	0.100436
Sumaye	0.100079
))
(al-Saud (desc 1322.65) (sims
Al-Faisal	0.180449
Fahd	0.178916
Talal	0.148649
Baz	0.143228
Nahyan	0.139221
Khalifa	0.136776
"Abidine Ben Ali"	0.119758
Hamad	0.119198
Thani	0.115672
al-Nahyan	0.109578
Al-Thani	0.107657
"Prince Saud Al-Faisal"	0.105691
al-Khatib	0.0977994
Maktoum	0.0960929
Riady	0.0953622
"Secretary General Esmat Abdel-Meguid"	0.0952907
Khalid	0.0935245
al-Maktoum	0.0933974
Shara	0.0929576
Luong	0.092774
Stoyanov	0.0913733
"de Charette"	0.0889356
Majali	0.088484
Rifkind	0.0865594
Al-Sabah	0.085298
sultan	0.084674
Kabariti	0.0835714
Mohamad	0.0833622
Mahmoud	0.0833023
Cem	0.0812723
Abdel-Meguid	0.0811388
Scalfaro	0.0805171
"Secretary General Esmat Abdul-Meguid"	0.0794389
Ikeda	0.0794237
Ganzouri	0.0787828
Bessette	0.0786991
Kasoulides	0.0783432
al-Khalifa	0.0781456
Komura	0.0779964
"Prince Abdullah Ibn Abdul-Aziz"	0.0751507
Ikimi	0.0751045
Meguid	0.0749682
Pickering	0.072255
Kharrazi	0.0711729
Niyazov	0.0706087
Khaddam	0.0705436
al-Sahaf	0.0704887
Zou	0.0696277
Shareh	0.0688049
Sahnoun	0.0682623
Surin	0.0681406
Moratinos	0.0677399
Gurirab	0.0677186
"Vo Van Kiet"	0.0676114
pressman	0.0674881
Zemin	0.0671824
"Hosni Mubarak"	0.0670702
Saleh	0.066835
Narayanan	0.0661682
Granic	0.0661421
al-Hariri	0.0660903
"Boutros Boutros Ghali"	0.0659454
Velayati	0.065613
"Lee Hsien Loong"	0.0654499
Bronfman	0.0653896
Constantinescu	0.0653859
"William S. Cohen"	0.0652665
Shamshad	0.0648752
Kyprianou	0.0647579
"Saudi King Fahd Ibn Abdul-Aziz"	0.0646328
Peng	0.0639801
"Jordanian King Abdullah Bin Hussein"	0.0638976
Nzo	0.0638151
"Michael Heseltine"	0.0636639
Vollebaek	0.0636232
Juncker	0.063249
Frei	0.0629256
Sharaa	0.0629191
"Esmat Abdel Meguid"	0.0625806
"De Soto"	0.062373
al-Shara	0.0621926
Axworthy	0.062089
Sumaye	0.061966
Ruehe	0.0619503
Khai	0.0616102
Moussa	0.0613933
Lipponen	0.0611982
Rodionov	0.0610792
Deuba	0.0610515
"Sheikh Saad"	0.0609093
"Defense William Cohen"	0.0607207
Guterres	0.0605323
Ahtisaari	0.0603284
Pangalos	0.0602534
"Prime Minister Kamal El-Ganzouri"	0.0602122
Bidwill	0.0602111
"Valery Pustovoitenko"	0.0599128
Brittan	0.0597429
Mkapa	0.0596373
Phieu	0.0595679
"Jose Maria Aznar"	0.0588272
Gaddafi	0.0585331
Klestil	0.0580111
Pustovoitenko	0.0576728
Brahimi	0.0572746
Jayakumar	0.0572438
"Pascoal Mocumbi"	0.0570675
"Joint Liaison Group"	0.0570482
"Maung Aye"	0.0569974
Karimov	0.0569911
Santer	0.0567279
Muoi	0.0565755
Zapruder	0.0565587
"Tareq Aziz"	0.0565433
Bonanno	0.0564813
"Than Shwe"	0.0563313
Siazon	0.0561735
O'Malley	0.0561481
Diouf	0.0560683
Xiong	0.0560381
"Paavo Lipponen"	0.0559118
Mahdi	0.0557104
al-Sahhaf	0.0556179
Qiao	0.0555991
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0551217
JAT	0.0550224
Bingham	0.0549385
Wolfensohn	0.0548045
"Secretary-General Boutros Boutros-Ghali"	0.0546375
Holl	0.0544894
Insulza	0.0544326
"H.D Deve Gowda"	0.0543344
"Michael Portillo"	0.0543266
Ogata	0.0542119
"Prime Minister Banharn Silpa-Archa"	0.054006
Sabah	0.0540021
Gujral	0.0539259
Nujoma	0.0538651
Banharn	0.0537496
"Wlodzimierz Cimoszewicz"	0.0535434
"Abdul Karim Kabariti"	0.053453
Irish-American	0.0531911
Dini	0.0531544
Ben-Ami	0.0530975
Kono	0.0529755
Buzek	0.0529613
Klima	0.0529362
Meles	0.0529344
Camdessus	0.0528456
Alarcon	0.0525808
Dehaene	0.0520501
Salim	0.0519929
Vedrine	0.0519685
Bruton	0.0516028
al-Bashir	0.0514376
el-Ganzouri	0.0512608
Luo	0.0510725
Chissano	0.0510001
Gaston	0.0506856
espana	0.0506566
Stroh	0.0505629
"Phan Van Khai"	0.0504496
"Chavalit Yongchaiyudh"	0.0503387
"Qiao Shi"	0.0500866
Romanov	0.0500759
Koo	0.050059
"Viktor Orban"	0.0499861
"Commonwealth Ministerial Action Group"	0.049845
Jovanovic	0.0497223
pacifism	0.0495735
Aris	0.0495546
"Li Zhaoxing"	0.0495379
al-Sharaa	0.04931
"Minister Shlomo Ben-Ami"	0.0492846
Al-Jaber	0.0492102
supplicant	0.0491966
"Goh Chok Tong"	0.0491533
Talbott	0.0490894
"Fayez Tarawneh"	0.0490692
Nasser	0.0489179
"Prime Ministers"	0.0488653
"Jerzy Buzek"	0.0488506
"John Bruton"	0.0488469
"Rafik Hariri"	0.0483629
Broek	0.0482838
Baez	0.0482615
"Costas Simitis"	0.0482311
Leghari	0.0481905
Rawabdeh	0.048158
wen	0.0481059
"Antonio Guterres"	0.0478497
Rothschild	0.0478209
"Irish Catholic"	0.0477736
Tella	0.0477601
"Pandeli Majko"	0.0477534
Bouteflika	0.0476938
Clerides	0.0476509
"Li Tieying"	0.0475129
"Frederick Sumaye"	0.0472983
Grimes	0.0472838
))
(al-Shara (desc 3942.17) (sims
al-Sharaa	0.473253
Shara	0.349688
Sharaa	0.280841
al-Khatib	0.273956
Khaddam	0.257987
Al-Faisal	0.24116
"Amr Moussa"	0.23327
"President Hafez Al-Assad"	0.229821
el-Ganzouri	0.226882
"Prince Saud Al-Faisal"	0.225798
"Igor Ivanov"	0.223247
"Tang Jiaxuan"	0.217963
"Mahmoud Zouebi"	0.215326
"Atef Obeid"	0.215148
"Hubert Vedrine"	0.212761
"Jordanian King Abdullah Bin Hussein"	0.212326
"Kamal Kharrazi"	0.207566
al-Assad	0.206622
"David Levy"	0.203525
al-Sahhaf	0.196153
"Lamberto Dini"	0.193234
al-Sahaf	0.192531
"Hosni Mubarak"	0.191901
"Abdullah Ahmad Badawi"	0.186845
Shareh	0.184866
"Sartaj Aziz"	0.184781
"Abdul Karim Kabariti"	0.184611
"Valery Pustovoitenko"	0.182675
al-Hariri	0.182209
"Ismail Cem"	0.178849
"Salim Hoss"	0.178499
"Rafik Hariri"	0.174073
"Jaswant Singh"	0.173955
"Klaus Kinkel"	0.173758
"Saudi King Fahd Ibn Abdul-Aziz"	0.171198
"Goran Persson"	0.17084
Boueiz	0.170838
"Vo Van Kiet"	0.169932
Vedrine	0.166476
"Prime Minister Kamal El-Ganzouri"	0.165067
Pangalos	0.164766
"Igor Sergeyev"	0.160483
"Robin Cook"	0.159662
"Jacques Chirac"	0.159289
"Jose Maria Aznar"	0.157064
Al-Thani	0.156892
"John Bruton"	0.156389
Ben-Ami	0.155443
"Phan Van Khai"	0.155158
"Qian Qichen"	0.154479
Mubarak	0.153814
Tella	0.15294
Komura	0.152912
"Saudi King Fahd"	0.152748
Kharrazi	0.152084
Moratinos	0.150178
Majali	0.14824
al-Bashir	0.147022
"Inder Kumar Gujral"	0.146985
Moussa	0.146897
"Meles Zenawi"	0.146829
Kabariti	0.146649
Ivanov	0.146269
"Ivan Kostov"	0.144939
"Chuan Leekpai"	0.14424
Al-Sabah	0.143919
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.143625
"Suleyman Demirel"	0.143424
"Costas Simitis"	0.143006
"Paavo Lipponen"	0.142968
"Frederick Sumaye"	0.141561
Hrawi	0.141519
"Shimon Peres"	0.141413
"Wim Kok"	0.140762
"Goh Chok Tong"	0.138661
"Yasser Arafat"	0.138523
"Jordanian King Hussein"	0.137982
Hariri	0.137753
"de Charette"	0.135875
"Prince Abdullah Ibn Abdul-Aziz"	0.13585
"Yitzhak Mordechai"	0.135709
"Atal Bihari Vajpayee"	0.13523
"Minister Shlomo Ben-Ami"	0.135211
"Mesut Yilmaz"	0.13521
"Ariel Sharon"	0.134484
"Jerzy Buzek"	0.134399
"Sheikh Hasina"	0.134149
Meguid	0.134129
"Wlodzimierz Cimoszewicz"	0.131947
Ikimi	0.13171
Jayakumar	0.131693
Saleh	0.131262
Lipponen	0.13095
"Binyamin Netanyahu"	0.129455
"Sergei Kiriyenko"	0.128613
Gurirab	0.128428
"Benazir Bhutto"	0.128215
"Esmat Abdel Meguid"	0.127564
"Li Peng"	0.127111
"Dennis Ross"	0.127074
"Bulent Ecevit"	0.127063
"Necmettin Erbakan"	0.126244
Talbott	0.126128
"Javier Solana"	0.125526
al-Khalifa	0.125198
"Chi Haotian"	0.125089
Demirel	0.124067
"Saeb Erekat"	0.123799
Ganzouri	0.123738
Chretien	0.123367
Nzo	0.122928
"deputy foreign minister"	0.122834
Pickering	0.122145
"National Security Adviser Sandy Berger"	0.122115
"Jean Chretien"	0.121517
Dehaene	0.121349
"Lionel Jospin"	0.121288
"Yevgeny Primakov"	0.121258
"Mikulas Dzurinda"	0.121251
Guterres	0.120914
"Joschka Fischer"	0.120114
"Viktor Chernomyrdin"	0.119984
"George Robertson"	0.119855
"William Perry"	0.119786
"Bashkim Fino"	0.119673
Dini	0.119175
"Antonio Guterres"	0.119137
Abdel-Meguid	0.118526
"Radu Vasile"	0.118417
"Atal Behari Vajpayee"	0.11768
Cem	0.117642
Velayati	0.117556
"H.D Deve Gowda"	0.117502
"Oded Eran"	0.116906
"King Abdullah II"	0.11643
"Pascoal Mocumbi"	0.116236
"Fernando Henrique Cardoso"	0.116233
Gaddafi	0.116102
"Tariq Aziz"	0.115771
"Than Shwe"	0.115281
"Leon Brittan"	0.115029
Phieu	0.114673
"John Major"	0.113949
"Bertie Ahern"	0.113902
Diouf	0.113751
Aziz	0.113457
Ikeda	0.11343
Husseini	0.113414
Qian	0.112478
"John Howard"	0.112428
"Romano Prodi"	0.112212
"William Cohen"	0.112192
"Hafez Assad"	0.111686
"Secretary General Esmat Abdul-Meguid"	0.111502
"Ryutaro Hashimoto"	0.111063
el-Baz	0.110814
"King Abdullah"	0.110644
Granic	0.110556
"Deve Gowda"	0.110513
"Defense William Cohen"	0.110392
Albright	0.109932
Meles	0.109824
"Tareq Aziz"	0.109613
"I.K Gujral"	0.109322
Juncker	0.108883
Goh	0.108867
"Lee Hsien Loong"	0.108763
Kavan	0.108695
Kuchma	0.108601
"Amnuay Virawan"	0.108579
"Secretary General Esmat Abdel-Meguid"	0.108523
"Keizo Obuchi"	0.108367
Arafat	0.107649
"Chavalit Yongchaiyudh"	0.107617
Muoi	0.107287
Klima	0.106718
"Jenny Shipley"	0.106476
vice-president	0.106345
Peres	0.106257
Stoyanov	0.106136
"Wang Daohan"	0.106017
"Abidine Ben Ali"	0.105998
"Mahathir Mohamad"	0.105917
"Yoshiro Mori"	0.105717
Vice-Premier	0.105462
Kasoulides	0.10531
Moi	0.1052
"Yuri Maslyukov"	0.105154
Scalfaro	0.105048
"secretary of state"	0.104883
"Carlos Menem"	0.104366
"Zhu Rongji"	0.104278
Simitis	0.104156
Camdessus	0.104047
Constantinescu	0.103871
Barshefsky	0.103748
Rifkind	0.103692
"Koo Chen-fu"	0.103243
Museveni	0.102972
"Benjamin Netanyahu"	0.102815
Vajpayee	0.101714
Rodionov	0.101627
Clerides	0.101512
"Mahmoud Abbas"	0.101408
Garang	0.10036
))
(al-Sharaa (desc 6913.13) (sims
al-Shara	0.473253
Shara	0.289575
Sharaa	0.283718
Shareh	0.247597
al-Assad	0.220012
"Igor Ivanov"	0.21729
"Kamal Kharrazi"	0.211695
"Jordanian King Abdullah Bin Hussein"	0.210725
"Hubert Vedrine"	0.210709
Al-Faisal	0.201052
"Amr Moussa"	0.200404
"Hosni Mubarak"	0.198675
Khaddam	0.198414
al-Khatib	0.198021
"Lamberto Dini"	0.196238
"David Levy"	0.193148
"Ismail Cem"	0.186491
Pangalos	0.185762
Kharrazi	0.184222
"Tang Jiaxuan"	0.180905
Mubarak	0.178981
al-Sahhaf	0.17775
"President Hafez Al-Assad"	0.177513
Vedrine	0.173281
Ivanov	0.171926
Moussa	0.168265
Boueiz	0.16683
"Jaswant Singh"	0.16595
"Jose Maria Aznar"	0.163744
"Mahmoud Zouebi"	0.163445
Dini	0.161968
"Romano Prodi"	0.159326
"Saudi King Fahd"	0.157831
"Salim Hoss"	0.154506
el-Ganzouri	0.153922
"Saudi King Fahd Ibn Abdul-Aziz"	0.153899
Komura	0.153861
"Jacques Chirac"	0.153738
"de Charette"	0.153405
al-Sahaf	0.153337
Aziz	0.153292
"Atef Obeid"	0.151292
"Prince Saud Al-Faisal"	0.150281
"Jordanian King Hussein"	0.148624
"Joschka Fischer"	0.147664
"Yevgeny Primakov"	0.147406
Arafat	0.147198
"Rafik Hariri"	0.14717
Al-Sabah	0.145887
Sergeyev	0.145425
al-Bashir	0.144753
Albright	0.144691
"Phan Van Khai"	0.144601
Gaddafi	0.144237
"Goh Chok Tong"	0.143881
Cem	0.143514
"Inder Kumar Gujral"	0.143293
al-Hariri	0.143078
"Yasser Arafat"	0.142842
Al-Thani	0.142426
Hariri	0.142418
Demirel	0.142122
"Meles Zenawi"	0.142092
Meles	0.141903
"Costas Simitis"	0.141303
"Vo Van Kiet"	0.141016
"Saeb Erekat"	0.140898
Moratinos	0.140446
Ben-Ami	0.139719
"Radu Vasile"	0.139416
Talbott	0.138735
"Abdullah Ahmad Badawi"	0.138643
Hrawi	0.138074
"Chuan Leekpai"	0.137728
Primakov	0.137687
"Sartaj Aziz"	0.137284
Assad	0.137142
"Valery Pustovoitenko"	0.137046
"Ariel Sharon"	0.136772
Alatas	0.13585
"Klaus Kinkel"	0.135331
"Esmat Abdel Meguid"	0.134843
Stoyanov	0.134381
"John Bruton"	0.134305
Rifkind	0.134271
"Shimon Peres"	0.13372
Clerides	0.133444
"Robin Cook"	0.132618
Chirac	0.13225
"William Cohen"	0.132175
"Ivan Kostov"	0.131899
Kinkel	0.131878
"Goran Persson"	0.131512
"Jean Chretien"	0.131414
Peres	0.131144
"King Hussein"	0.130682
"Suleyman Demirel"	0.130651
"Ehud Barak"	0.129478
"Atal Bihari Vajpayee"	0.129122
Solana	0.129006
Nzo	0.128844
"Bertie Ahern"	0.128833
"Paavo Lipponen"	0.128682
"Jerzy Buzek"	0.128429
"Hafez Assad"	0.1282
"Lionel Jospin"	0.127567
"Igor Sergeyev"	0.127536
Ecevit	0.127425
Shevardnadze	0.127361
Ahern	0.127353
"deputy foreign minister"	0.127162
"Minister Shlomo Ben-Ami"	0.127051
Phieu	0.126893
Ikimi	0.12664
Gurirab	0.126529
Qian	0.126386
Weizman	0.126263
Mkapa	0.125946
Saleh	0.125807
"Keizo Obuchi"	0.12569
Abdullah	0.125124
Vajpayee	0.124817
"Dennis Ross"	0.124151
Ikeda	0.123933
"Qian Qichen"	0.123903
Azad	0.123792
Schuessel	0.12376
"Binyamin Netanyahu"	0.123628
Jayakumar	0.123535
"William Perry"	0.123103
Scalfaro	0.122716
"Benjamin Netanyahu"	0.122584
Guterres	0.122072
Tella	0.122007
"Yoshiro Mori"	0.121827
Kwasniewski	0.121741
Annan	0.121739
"Abdul Karim Kabariti"	0.121665
Camdessus	0.121639
"Javier Solana"	0.121637
"Frederick Sumaye"	0.121524
Abdel-Meguid	0.121486
Chretien	0.121391
Barshefsky	0.121305
"George Robertson"	0.121283
"Mesut Yilmaz"	0.120817
"Wim Kok"	0.120754
Lahoud	0.119926
Kasoulides	0.119884
Meguid	0.118656
Rakhmonov	0.11852
Muoi	0.118013
Kabariti	0.117902
Majali	0.117599
Azizah	0.117496
Kuchma	0.117254
"Tariq Aziz"	0.117053
"Atal Behari Vajpayee"	0.116991
Ahtisaari	0.116548
Velayati	0.116272
Rodionov	0.115916
"Jenny Shipley"	0.115852
"King Abdullah"	0.115481
Gujral	0.115372
"Cambodian King Norodom Sihanouk"	0.114958
al-Khalifa	0.114895
"Pascoal Mocumbi"	0.114858
Demaci	0.114741
Museveni	0.114351
"King Abdullah II"	0.114324
"Antonio Guterres"	0.114224
"Sergei Kiriyenko"	0.114212
Denktash	0.114195
"Sheikh Hasina"	0.113904
Tarawneh	0.113789
"Fernando Henrique Cardoso"	0.113549
"Viktor Chernomyrdin"	0.113431
Simitis	0.113356
"Secretary General Esmat Abdul-Meguid"	0.113351
Ciller	0.112841
Niyazov	0.112625
Klima	0.112127
"King Fahd"	0.112108
"secretary of state"	0.111864
Garang	0.111791
"Benazir Bhutto"	0.111791
Lukashenko	0.111098
"Tony Blair"	0.11109
"Mahathir Mohamad"	0.111075
Milutinovic	0.11079
Pickering	0.110613
Kavan	0.11055
"Secretary General Esmat Abdel-Meguid"	0.109876
"Abidine Ben Ali"	0.109768
Goh	0.109467
Ruehe	0.109328
Fino	0.108902
"Li Peng"	0.108739
Obuchi	0.108647
"John Howard"	0.108522
Ganzouri	0.108512
Fischer	0.108431
"Bulent Ecevit"	0.108356
Moi	0.10814
Barak	0.107781
Mordechai	0.107636
Wolfensohn	0.106823
Abubakar	0.106823
"Yitzhak Mordechai"	0.106724
"John Major"	0.106659
"foreign minister"	0.106539
"Oded Eran"	0.106518
Shipley	0.106196
Netanyahu	0.106113
Nazarbayev	0.105839
"Helen Clark"	0.105608
Juncker	0.10525
"De Soto"	0.105225
"Nawaz Sharif"	0.104646
Dehaene	0.104457
Chuan	0.104118
Zeroual	0.103881
"Chi Haotian"	0.103456
Zhu	0.103261
Siazon	0.103048
Karimov	0.102871
Erekat	0.10277
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.102715
Klestil	0.102593
Ogata	0.102294
Zou	0.10207
Sharif	0.101669
"Bizima Karaha"	0.101398
Indyk	0.101289
"Koo Chen-fu"	0.101283
Nujoma	0.101152
"Leon Brittan"	0.101144
"Than Shwe"	0.101083
Holbrooke	0.100868
Wahid	0.10071
Jospin	0.100152
"Chavalit Yongchaiyudh"	0.100051
))
(Al-Thani (desc 4810.4) (sims
Thani	0.507133
al-Khalifa	0.335395
al-Khatib	0.235911
"Jordanian King Abdullah Bin Hussein"	0.193542
Al-Sabah	0.19106
emir	0.175529
al-Bashir	0.164014
el-Ganzouri	0.163127
"Amr Moussa"	0.162236
"Saudi King Fahd Ibn Abdul-Aziz"	0.160936
"Atef Obeid"	0.159977
"Vo Van Kiet"	0.159697
"Rafik Hariri"	0.159032
"Jose Maria Aznar"	0.157353
al-Shara	0.156892
"Phan Van Khai"	0.153906
al-Sahhaf	0.149995
"President Hafez Al-Assad"	0.149536
al-Nahyan	0.147986
"Saudi King Fahd"	0.147769
"Valery Pustovoitenko"	0.144414
"Prince Saud Al-Faisal"	0.143834
al-Sharaa	0.142426
al-Hariri	0.140945
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.138306
"Hosni Mubarak"	0.137228
"Antonio Guterres"	0.13261
"King Abdullah II"	0.131367
"Benazir Bhutto"	0.130976
"Yoshiro Mori"	0.130891
"Meles Zenawi"	0.129197
Khaddam	0.128533
"Pascoal Mocumbi"	0.127984
"Suleyman Demirel"	0.127723
"Kamal Kharrazi"	0.126455
Gaddafi	0.125436
al-Sahaf	0.124673
"Chavalit Yongchaiyudh"	0.124455
"Chuan Leekpai"	0.123736
"Jerzy Buzek"	0.122794
"Atal Bihari Vajpayee"	0.122467
al-Assad	0.122216
"Paavo Lipponen"	0.12181
"Wim Kok"	0.121644
"Jordanian King Hussein"	0.121579
"Jean Chretien"	0.121555
"Bulent Ecevit"	0.120805
"Ivan Kostov"	0.120481
"Bashkim Fino"	0.120066
"Mesut Yilmaz"	0.120043
Dehaene	0.119925
"Atal Behari Vajpayee"	0.119003
"Secretary General Esmat Abdel-Meguid"	0.118172
"Wlodzimierz Cimoszewicz"	0.117993
Nahyan	0.117243
"John Bruton"	0.116705
"Romano Prodi"	0.115394
"King Abdullah"	0.115169
Mubarak	0.114661
"Abdul Salam Majali"	0.114637
Komura	0.114361
"Prime Minister Kamal El-Ganzouri"	0.113926
"Radu Vasile"	0.113639
"Costas Simitis"	0.113584
"King Fahd"	0.113355
"Victor Chernomyrdin"	0.11328
"Jenny Shipley"	0.113225
"Jacques Chirac"	0.112565
Kharrazi	0.112058
"Tang Jiaxuan"	0.111406
"Pandeli Majko"	0.111214
Gurirab	0.110861
"Abdul Karim Kabariti"	0.110636
Shareh	0.11063
"Defense William Cohen"	0.110578
"Sheikh Hasina"	0.110519
"Lionel Jospin"	0.110293
"Goh Chok Tong"	0.109381
"Salim Hoss"	0.108958
"Necmettin Erbakan"	0.108626
"William Perry"	0.108511
"William Cohen"	0.10843
Tella	0.108394
al-Saud	0.107657
"Frederick Sumaye"	0.106871
Pangalos	0.10658
Majali	0.106088
Muoi	0.10597
"Mahathir Mohamad"	0.105821
"King Hussein"	0.105418
"Prince Abdullah Ibn Abdul-Aziz"	0.105204
"Inder Kumar Gujral"	0.104905
"Mahmoud Zouebi"	0.104798
Luong	0.103641
"Deve Gowda"	0.103453
al-Maktoum	0.1031
Vice-Premier	0.10298
Shara	0.102854
Kabariti	0.102804
Moussa	0.102551
Khalifa	0.102413
"Nawaz Sharif"	0.10142
Mohamad	0.101123
"crown prince"	0.100425
Stoyanov	0.100384
"King Abdullah Bin Hussein"	0.100095
"Ismail Cem"	0.099977
Amir	0.0981821
Saleh	0.0980224
"Tareq Aziz"	0.0976942
Lipponen	0.0972285
"Secretary General Esmat Abdul-Meguid"	0.0971573
Moi	0.0970654
"Shimon Peres"	0.096522
"Boutros Boutros Ghali"	0.0965086
"John Major"	0.0963928
"President Kim Dae-jung"	0.0963166
"Sergei Kiriyenko"	0.0961561
"Abidine Ben Ali"	0.0959332
"Fatos Nano"	0.0958784
"Ricardo Alarcon"	0.0956958
"Binyamin Netanyahu"	0.095361
"Goran Persson"	0.0950242
"Sher Bahadur Deuba"	0.0948625
Sheik	0.0948222
"Mikulas Dzurinda"	0.0942146
"Alain Juppe"	0.093054
"Bertie Ahern"	0.0927747
Baz	0.0925241
"Ryutaro Hashimoto"	0.0923736
"deputy foreign minister"	0.0922828
Cem	0.0914379
"H.D Deve Gowda"	0.0912117
"President Kim Young-sam"	0.0908917
"Prime Minister Banharn Silpa-Archa"	0.090474
"Secretary General Boutros Boutros-Ghali"	0.0901196
Kuchma	0.0897764
Goh	0.0896107
"Lamberto Dini"	0.0894726
Boueiz	0.0891729
"de Charette"	0.0888779
Qian	0.0887423
Vedrine	0.0887159
Al-Faisal	0.0883686
Ahtisaari	0.0881891
Phieu	0.0879678
"Keizo Obuchi"	0.087869
"Hubert Vedrine"	0.0875902
"Fayez Tarawneh"	0.0868789
"David Levy"	0.0868006
"John Howard"	0.0863515
"Li Peng"	0.0861008
Rakhmonov	0.0860549
Meguid	0.0860152
Doha	0.0856761
"Viktor Chernomyrdin"	0.0856231
Nujoma	0.0854293
"Girija Prasad Koirala"	0.0854102
"Javier Solana"	0.0853494
Demirel	0.0850169
Hariri	0.0847845
Dini	0.0847765
Meles	0.0845728
Mkapa	0.0845481
Chiluba	0.0845079
Lahoud	0.0843093
Sharif	0.0842898
Rifkind	0.0842493
Moratinos	0.0840942
Rabbani	0.0837467
Aziz	0.0836981
"Than Shwe"	0.0833395
"Milos Zeman"	0.0832913
Sharaa	0.0832309
Velayati	0.0824822
"Igor Sergeyev"	0.0822992
Hamad	0.0819184
Mahmoud	0.0814522
Qatari	0.0811308
Nzo	0.0810334
Scalfaro	0.0808188
"Minister Shlomo Ben-Ami"	0.0806559
Pustovoitenko	0.08062
Bouteflika	0.0806001
Diouf	0.0804004
Santer	0.0800518
Ivanov	0.0800506
"Ehud Barak"	0.0800456
Fahd	0.0799222
"Qian Qichen"	0.0797812
Sihanouk	0.079704
Ben-Ami	0.0793489
Bahraini	0.0788222
"Igor Ivanov"	0.0787439
Talbott	0.0786246
"Gro Harlem Brundtland"	0.0786098
Abdel-Meguid	0.0784563
Jayakumar	0.0782804
"Ung Huot"	0.0781981
"Speaker Ali Akbar Nateq-Nouri"	0.0780888
))
(Al-Thawra (desc 2364.55) (sims
"Rodong Sinmun"	0.379616
Granma	0.338349
Kommersant	0.282772
Hurriyet	0.276382
Politika	0.261469
"Asahi Shimbun"	0.256201
"Nihon Keizai"	0.25116
"Yediot Ahronot"	0.249547
"Nihon Keizai Shimbun"	0.247805
"Nhan Dan"	0.227494
"Tehran Times"	0.226428
"El Pais"	0.220746
Haaretz	0.217682
"Le Figaro"	0.216381
Maariv	0.215928
L'Equipe	0.213651
Izvestia	0.204475
"El Mundo"	0.201172
"Le Monde"	0.199736
Sowetan	0.197315
Al-Ahram	0.196892
Asahi	0.194981
Noticias	0.194918
"Al Ahram"	0.194915
al-Hayat	0.19486
"New Nigerian"	0.192279
"Moscow Times"	0.19118
"Business Day"	0.190216
Reforma	0.185892
Salam	0.18496
"Kenya Times"	0.184861
"New Vision"	0.180118
"Koha Ditore"	0.179638
"Yomiuri Shimbun"	0.17927
"Iran News"	0.178849
"National Post"	0.172281
Sera	0.170626
"Straits Times"	0.168292
"New Straits Times"	0.158713
Yomiuri	0.156631
"Jordan Times"	0.156268
"Alam Al Yom"	0.156117
Bild	0.155651
"Jerusalem Post"	0.153669
"The Monitor"	0.150878
"South China Morning Post"	0.148729
Tous	0.141482
"Daily Telegraph"	0.139417
"Daily Nation"	0.139097
"Egyptian Gazette"	0.138802
"Daily Star"	0.138287
"East African Standard"	0.138141
"Al Hayat"	0.135412
"New Light"	0.135251
"Gulf News"	0.134418
Inquirer	0.133669
"The New Vision"	0.133562
"Ethiopian Herald"	0.133509
"Bangkok Post"	0.126333
"Vietnam News"	0.124189
"Business Times"	0.123918
"Indonesian Observer"	0.123159
gazette	0.120229
"Khaleej Times"	0.119869
"Guangming Daily"	0.118441
"Jakarta Post"	0.117461
"Zambia Daily Mail"	0.117451
"Sydney Morning Herald"	0.11562
"Washington Times"	0.112384
"Daily News"	0.110912
"Financial Mail"	0.11059
"Wen Wei Po"	0.104017
"Kathmandu Post"	0.103935
Malaya	0.102746
Babel	0.100868
"Macao Daily News"	0.100426
"China Daily"	0.099389
"Financial Times"	0.0992342
"Daily Mail"	0.0974554
Dana	0.0970426
"roll call"	0.0957171
Mayo	0.0950823
Jovanovic	0.0937082
Tennessean	0.0922522
Sana	0.0911667
"Daily Times"	0.0899273
Khaddam	0.0858485
"Mahmoud Zouebi"	0.0843606
Severino	0.0830059
Ikimi	0.082658
JAMA	0.0823995
"USA TODAY"	0.0820635
Malu	0.0816899
al-Sahaf	0.0814581
"Post Express"	0.0814387
Dominion	0.0812453
al-Sahhaf	0.0811426
INA	0.0807492
Sabah	0.0802351
"Seattle Times"	0.0800266
telegraph	0.0798486
frontpage	0.0796289
Lancet	0.0788376
romano	0.0779809
Guardian	0.0768794
"President Hafez Al-Assad"	0.0763122
"New York Post"	0.0756318
"Washington Post"	0.0731376
Bruton	0.0724339
Saleh	0.0722774
tribune	0.0717526
"Miami Herald"	0.0716953
Jayakumar	0.0716391
"San Francisco Examiner"	0.0714623
"Evening Standard"	0.0709547
"Wenhui Daily"	0.0702286
"Arizona Republic"	0.070017
MTI	0.0697424
Jana	0.0694242
Angop	0.0692946
Zou	0.0686621
Shamshad	0.0681572
"press agency"	0.0680989
Akbar	0.0677752
Kasoulides	0.0673468
Piot	0.0669962
Oregonian	0.0669159
Lakas-NUCD	0.0668762
Meguid	0.066777
Star-Ledger	0.0667115
Talebi	0.0663719
"Wall Street Journal"	0.0654304
"New England Journal"	0.065028
"Iraqi News Agency"	0.0648903
"Business Weekly"	0.0648526
"Austin American-Statesman"	0.0646804
Antara	0.0646487
Mustafa	0.0646058
"New York Observer"	0.0645852
Juma	0.0645723
"East African"	0.0638295
Fleischer	0.0634446
"Los Angeles Times"	0.0633553
"Stars and Stripes"	0.0631825
"Red Star"	0.0625916
Husseini	0.0625196
mouthpiece	0.0624194
Ashrawi	0.0616133
"Philadelphia Inquirer"	0.0615688
Mahdi	0.0615056
MPLA	0.0613658
Sha	0.0603338
Tanjug	0.0602032
KUNA	0.0599193
Alatas	0.0598333
Notimex	0.0594895
left-winger	0.0591918
"Khin Nyunt"	0.0589295
ABS-CBN	0.0588021
Lehane	0.0584246
Thomson	0.0583787
Ruehe	0.0581975
Xiang	0.0581726
"Turkish Daily News"	0.0581115
"Village Voice"	0.0579616
O'Reilly	0.0578658
Abdel-Meguid	0.0578467
Insulza	0.0577266
WAM	0.0576053
BN	0.0568446
al-Shara	0.0567905
editorialist	0.0565907
Iglesias	0.0565887
"Detroit News"	0.0565729
Shara	0.0565275
Zeng	0.0562749
Passarella	0.0560483
MSF	0.0558801
BS	0.0558674
"New York Daily News"	0.0557531
Kyprianou	0.0554656
Tsvangirai	0.0548238
"Zimbabwe African National Union-Patriotic Front"	0.0545344
"Hartford Courant"	0.0541482
"Dan Miller"	0.0538441
Narayanan	0.0536359
Sharaa	0.053513
"State Peace and Development Council"	0.053469
Domingo	0.0534585
Kenyon	0.0534492
Qu	0.0533855
"Knight Ridder"	0.0533249
"Korean Central News Agency"	0.0531254
Prewitt	0.0530766
IRNA	0.0530533
Nasrallah	0.0526156
Mkapa	0.0525892
Aziz	0.0525424
"Agence France Presse"	0.0524498
Waxman	0.0519134
))
(al-Tikriti (desc 1346.58) (sims
"De Soto"	0.103165
Ponte	0.102974
Husseini	0.102426
Hage	0.100841
Imperatori	0.0942713
Holliday	0.0914747
Rodionov	0.0892269
Tarawneh	0.0881874
Manley	0.0869314
Shoate	0.0847473
Nasrin	0.0787696
Alatas	0.0781591
Walesa	0.0766128
Indyk	0.0764094
Boueiz	0.076199
Lileikis	0.0760465
Ikeda	0.0755196
Chevenement	0.075142
"Al Joyner"	0.0750904
"Jim Harrick"	0.0748045
Henning	0.0737294
Squier	0.0728777
Kalejs	0.0721212
Vialli	0.0709855
Bulatovic	0.0706472
Ruehe	0.0705625
Cavallo	0.0704772
Zambrano	0.070403
Jayasinghe	0.0699759
Wolfensohn	0.0697831
Bedell	0.0691004
Shara	0.0685235
Baz	0.0682428
Gerald	0.0677694
Naumann	0.0675974
Maritz	0.0673382
Mattysse	0.067228
"Livan Hernandez"	0.0670704
Ben-Ami	0.0668871
Carollo	0.0667662
Nasrallah	0.0664249
"King Fahd"	0.06625
"Di Canio"	0.0658756
Taubman	0.0656562
"Tony Coelho"	0.0656037
Byrdsong	0.0652345
Soyinka	0.0652338
Rene	0.0652162
"Al Fayed"	0.0648834
Abdel-Meguid	0.0648001
Ahtisaari	0.0647581
Hamid	0.0642911
Weah	0.0642672
Ruthardt	0.064205
Eduardo	0.0640567
Whittingham	0.0639917
"Bill Skate"	0.0638543
Demaci	0.0638268
Bernabe	0.0638239
Bambang	0.0636757
Gus	0.0634354
Moratinos	0.0634299
Dilfer	0.0630708
Virenque	0.0625661
Maurizi	0.0623165
Belanger	0.062099
Soliah	0.0619489
"administration official"	0.061377
Nebiolo	0.0612651
Walser	0.0612646
Zadornov	0.0611836
Theodore	0.0610903
Insulza	0.0610615
Venables	0.0607764
Tilberis	0.0606899
Nujoma	0.0606181
Espinoza	0.0605193
Rifaat	0.0603623
Milbury	0.0601012
Cooley	0.0600161
Aziz	0.0599871
Neilson	0.0598707
Shareh	0.0597532
Theo	0.0596894
Azad	0.0595033
Amato	0.0591351
Beye	0.0590573
Harr	0.0589574
Cowens	0.0588757
"campaign official"	0.0585854
"Roy Romer"	0.0585491
Tierney	0.0585028
Klestil	0.0584815
"U.S. Fed"	0.0582909
Pangalos	0.0582701
Brahimi	0.0582059
FAWCETT	0.058187
Hans	0.0581665
Puzo	0.0581611
"John Kim"	0.0581325
al-Sahhaf	0.0579151
Grachev	0.0578818
Rankin	0.057796
Azizah	0.0577336
Yassin	0.0577331
Schott	0.0577262
Slatkin	0.0577109
al-Hariri	0.0576819
Dobbs	0.0572855
Shurmur	0.056618
Kromah	0.0566072
Dumas	0.0565354
"North Koreans"	0.0563801
Dele	0.0563117
Ota	0.0561198
Sahnoun	0.0558854
Severino	0.0557194
Camdessus	0.0556468
Whaley	0.0552644
Cianci	0.0548559
Edelman	0.054812
Mikhailov	0.0543838
Weizman	0.0542446
Blackmun	0.054224
Tass	0.0542183
Karmapa	0.05408
Duisenberg	0.0540552
Kurd	0.0540196
Chmura	0.0539564
Daigle	0.053929
Symons	0.0539001
"Carlos Salinas"	0.0538751
Haughey	0.0538282
Bizimungu	0.0537293
Haskins	0.0535386
Hoddle	0.0533854
Schottenheimer	0.0533586
Nakata	0.053316
Fernandes	0.0532527
Kurth	0.053229
Anelka	0.0531095
Cory	0.0530757
J.J	0.053016
Sumaye	0.052966
Aznar	0.0529527
Postel	0.0528335
"Robert Aventajado"	0.0527269
non-Muslims	0.0525292
Silva	0.0524794
Basayev	0.0524514
Elliot	0.0524454
Jorgensen	0.0524341
"Rick Rockwell"	0.0524276
Hrawi	0.0522953
Gowda	0.052006
Manuel	0.0519771
Ehrlichman	0.051976
Greenwald	0.0519473
Murayama	0.0519316
Wasserstein	0.051849
Durwood	0.0518042
Izetbegovic	0.051779
Havelange	0.0516809
Ernest	0.051625
Abernathy	0.0513647
"Queen Noor"	0.0513574
Baum	0.0513015
Tuberville	0.0511971
Beilin	0.0510661
Ince	0.0509531
Podesta	0.0509012
Autry	0.0508556
Esrey	0.0507681
Harmoko	0.0507303
Hearn	0.0507206
Talebi	0.0505977
"Asif Ali Zardari"	0.0505681
Stokes	0.0505621
Mucha	0.050483
Kamal	0.0504795
"C.J Hunter"	0.0504015
Kharrazi	0.0503926
Moussa	0.0503106
Ghali	0.0503092
Deuba	0.0502564
Keith	0.050201
Sergeyev	0.0500502
Hirst	0.050041
Garang	0.0499868
"Pervez Musharraf"	0.0499209
Trulock	0.0498112
Kelleher	0.0497908
Siazon	0.0497749
Maslyukov	0.0496985
Zuma	0.0496758
Malu	0.0495264
"Scotty Bowman"	0.0495
Kato	0.049443
"Igor Sergeyev"	0.0492428
Komura	0.0491944
))
(AL. (desc 3561.99) (sims
"National League"	0.12329
al	0.121168
NL	0.117046
"American League"	0.107301
history.	0.101472
majors	0.092449
NFC	0.0898905
AFC	0.071079
"National Hockey League"	0.0629166
"AL Central"	0.0620602
"NFC Central"	0.0608194
"Eastern Conference"	0.0598699
"Western Conference"	0.0596849
"major league"	0.0571845
"International League"	0.0544558
"Western Athletic Conference"	0.0500589
"American League West"	0.0494517
"Division I-AA"	0.046436
Pac-@@	0.0445578
"Group A."	0.0442436
"AL West"	0.0440383
))
(ala (desc 10569.1) (sims
yes	0.0606216
Hey	0.0528917
oh	0.0507566
Uh	0.0458129
um	0.0452065
"Cruel Intentions"	0.043221
))
(Ala. (desc 5482.6) (sims
Alabama	0.0975088
Colo.	0.087638
Tenn.	0.0874762
S.C.	0.0872638
Mich.	0.0818993
Ore.	0.0814089
Ky.	0.0776035
Fla.	0.0736118
Ga.	0.0648628
N.Y.	0.0637419
Ind.	0.0633796
PA.	0.0614259
N.C.	0.0602905
ill.	0.0571377
N.J.	0.054829
Mo.	0.0547064
Minn.	0.0529213
Calif.	0.0513927
Wis.	0.0486833
LA.	0.0486284
Md.	0.0463235
R.I.	0.0439531
Wash.	0.0437635
N.H.	0.0436908
Conn.	0.0415043
Ariz.	0.0402003
N.M.	0.0400716
))
(Alabama (desc 54485.4) (sims
Kentucky	0.25065
Nebraska	0.249873
Arkansas	0.242498
Georgia	0.237143
Tennessee	0.237033
Oklahoma	0.235883
"North Carolina"	0.233402
"West Virginia"	0.23095
Michigan	0.230131
Missouri	0.229181
Wisconsin	0.228689
Mississippi	0.224481
Florida	0.220194
Virginia	0.217853
Kansas	0.214685
"South Carolina"	0.214548
Illinois	0.214164
Oregon	0.212413
Louisiana	0.212353
Indiana	0.209653
Texas	0.20508
Maryland	0.202687
"New Mexico"	0.202652
Connecticut	0.198099
Pennsylvania	0.195674
Arizona	0.195224
Wyoming	0.185774
Minnesota	0.184371
Colorado	0.182775
"Florida State"	0.182424
Iowa	0.181797
"Penn State"	0.176918
LSU	0.176779
"New Jersey"	0.176598
Ohio	0.173718
Utah	0.173701
"Mississippi State"	0.173387
"Ohio State"	0.170973
Maine	0.168624
Nevada	0.167853
"Oklahoma State"	0.167341
California	0.1669
"Notre Dame"	0.166545
Idaho	0.166465
"Kansas State"	0.162869
Clemson	0.161484
Delaware	0.161313
"Arizona State"	0.161294
Montana	0.160927
Massachusetts	0.1608
Purdue	0.157953
"Georgia Tech"	0.157483
Vermont	0.15633
"Rhode Island"	0.155589
Auburn	0.153887
"North Dakota"	0.153491
Syracuse	0.153304
UCLA	0.151878
Vanderbilt	0.150548
"Washington State"	0.145333
"South Dakota"	0.144978
Hawaii	0.143516
Stanford	0.14323
"North Carolina State"	0.140103
"Michigan State"	0.138952
Miami	0.135791
"Virginia Tech"	0.133843
"Southern California"	0.132515
USC	0.131809
Rutgers	0.127854
"Texas Tech"	0.125817
"New Hampshire"	0.125677
"Iowa State"	0.12353
Alaska	0.123229
Baylor	0.122926
Cincinnati	0.121665
BYU	0.12041
"New England"	0.119966
"Wake Forest"	0.119438
Tulsa	0.118232
Jacksonville	0.118069
"Louisiana Tech"	0.11666
Pittsburgh	0.116258
"Boston College"	0.115797
"New York"	0.115393
Duke	0.113158
Washington	0.112925
SMU	0.110093
"San Diego State"	0.11006
"Brigham Young"	0.109463
Denver	0.108975
Houston	0.108107
"Oregon State"	0.107673
Tulane	0.107553
Villanova	0.106991
UNLV	0.106742
"Fresno State"	0.106539
"Kansas City"	0.106285
Carolinas	0.106019
Louisville	0.105995
Detroit	0.104355
Dallas	0.104081
"New Orleans"	0.103888
Chicago	0.103816
Buffalo	0.103789
Philadelphia	0.103327
Baltimore	0.102268
"Green Bay"	0.102262
TCU	0.102173
Cal	0.101135
"San Francisco"	0.100228
Atlanta	0.100165
Oakland	0.100018
"San Jose State"	0.0998069
"St. Louis"	0.0996664
Portland	0.0995113
"Seton Hall"	0.0993939
"New Mexico State"	0.0981078
Cleveland	0.0979454
"San Diego"	0.0978774
Ala.	0.0975088
Carolina	0.0967804
Seattle	0.0963355
Georgetown	0.0962533
"San Antonio"	0.0961934
Milwaukee	0.0960557
Phoenix	0.0955597
"Southern Mississippi"	0.0940096
"Puerto Rico"	0.0937603
"Tampa Bay"	0.0936712
"Louisiana State"	0.0930128
Sacramento	0.0928669
Memphis	0.0923561
"District of Columbia"	0.0918987
state	0.0915459
"N.C. State"	0.0911257
Pepperdine	0.090982
northwestern	0.0903138
Boston	0.0903033
UConn	0.0889226
"New York City"	0.0885293
"Colorado State"	0.0884454
"Texas Christian"	0.0880962
"St. John"	0.0878448
Vancouver	0.0876062
Gonzaga	0.0875623
CSUN	0.0874094
Indianapolis	0.087405
Montreal	0.0871982
Xavier	0.0855868
"Los Angeles"	0.0848686
"Arkansas State"	0.0848014
Midwest	0.0846753
England	0.0837308
Toronto	0.083573
Orlando	0.0833241
Gators	0.0829206
Seminoles	0.0827968
wildcat	0.0827945
Columbus	0.0827124
Princeton	0.0822856
"East Carolina"	0.0815977
Tampa	0.081558
Dakota	0.0803643
ASU	0.0802089
Brooklyn	0.0800715
FSU	0.0795102
"Georgia Southern"	0.0795039
tech	0.0793503
Canada	0.0789893
"Tennessee Valley"	0.0784777
Mexico	0.0780512
"South Florida"	0.0780489
Charlotte	0.0777727
"New York State"	0.0775026
"North Texas"	0.0773395
"New York Jets"	0.0768502
ANAHEIM	0.0764251
"East Texas"	0.0761676
Providence	0.0761037
"Ball State"	0.0756476
"San Jose"	0.075551
"Boise State"	0.0755377
"Central Florida"	0.0752309
"Utah State"	0.0750205
DePaul	0.0749902
Scotland	0.0749803
Ontario	0.0744462
Redskin	0.0743994
"Old Dominion"	0.0739293
Nashville	0.0736634
"Ohio Valley"	0.0734645
Rockies	0.0734265
Richmond	0.072962
falcon	0.0726346
"West Texas"	0.0723153
Lithuania	0.072309
"Golden State"	0.0719961
"Southern Cal"	0.0719563
"Fort Worth"	0.0719514
))
(Alabama-Birmingham (desc 1929.19) (sims
"Southern Mississippi"	0.210621
"Southwest Missouri State"	0.194949
Villanova	0.168799
Purdue	0.155719
"Colorado State"	0.152733
Samford	0.145899
"Old Dominion"	0.145444
"Saint Louis"	0.144597
Gonzaga	0.143873
"San Diego State"	0.143167
"New Mexico State"	0.137451
Vanderbilt	0.135684
"Northern Arizona"	0.133284
"Oklahoma State"	0.13322
"San Jose State"	0.133059
"Weber State"	0.132788
"Michigan State"	0.130669
"Mississippi State"	0.129395
UNLV	0.127393
"Montana State"	0.127251
"Fresno State"	0.12631
"Boise State"	0.125623
DePaul	0.122765
"Seton Hall"	0.122647
"Wake Forest"	0.120557
"Oregon State"	0.120372
"Texas Tech"	0.119683
Fordham	0.119265
Starzz	0.118676
Clemson	0.117526
LSU	0.117178
northwestern	0.11695
"Texas Christian"	0.115629
"Penn State"	0.112043
Xavier	0.111856
"North Carolina State"	0.111276
"Louisiana Tech"	0.1112
Baylor	0.110279
"South African Amanda Coetzer"	0.109354
"Ball State"	0.108635
Boilermakers	0.106363
"Arkansas State"	0.106204
bearcat	0.106061
Tulane	0.105776
"Kansas State"	0.105157
Rutgers	0.105044
"Arnaud Boetsch"	0.104121
"Kimberly Po"	0.102411
Wolfpack	0.100776
Georgetown	0.100761
"Appalachian State"	0.0999418
Sooners	0.0996592
"N.C. State"	0.099364
RedHawks	0.0991304
Pepperdine	0.0986819
Tulsa	0.0983352
Winthrop	0.0980338
SMU	0.0979972
"Utah State"	0.0972756
"Arizona State"	0.0968938
Minutemen	0.0957664
"Idaho State"	0.0954408
"Iowa State"	0.0951687
"Notre Dame"	0.0941816
"East Carolina"	0.0941686
"St. Bonaventure"	0.0939109
"Nevada-Las Vegas"	0.0933603
"Calgary Flames"	0.0927663
"Long Beach State"	0.0927633
Syracuse	0.0923895
"Tampa Bay Lightning"	0.0922362
Hawkeyes	0.0920343
Marquette	0.0920191
Stanford	0.0917951
"Georgia Tech"	0.0914571
"Jackson State"	0.0910737
Louisville	0.0903497
UConn	0.0902036
"Washington State"	0.0892784
Nebraska	0.0891513
Evansville	0.0888351
"James Madison"	0.0883138
"Virginia Tech"	0.0880359
"Georgia Southern"	0.0868582
Huskers	0.086509
"Florida State"	0.0856554
NAU	0.0855669
"Tampa Bay Buccaneers"	0.0844307
"Philadelphia Eagles"	0.0843796
"Australian Mark Philippoussis"	0.0835878
BYU	0.0829375
Hendrawan	0.0816202
"Seattle Seahawks"	0.0814472
"Boston College"	0.081306
"Fighting Irish"	0.0810969
"San Diego Chargers"	0.0810704
"Louisiana State"	0.0809411
"Elena Dementieva"	0.0806011
"Nittany Lions"	0.0803299
"Crimson Tide"	0.079164
"Poul-Erik Hoyer-Larsen"	0.0784025
Razorback	0.0781591
Cornhusker	0.078009
Karlsson	0.0777137
UAB	0.0776777
Valparaiso	0.0773904
"Jacksonville Jaguars"	0.0769033
"Ohio State"	0.0767893
"Buffalo Sabres"	0.0766318
"Chicago Fire"	0.07661
"Kim Taek Soo"	0.0761703
Cal	0.0760112
terrapin	0.0757086
"Fabrice Santoro"	0.0756425
"Washington Redskins"	0.0752176
Likhovtseva	0.075194
Rattler	0.0738256
Supersonics	0.0736941
"North Texas"	0.0735209
"Felix Mantilla"	0.0733252
"Phenix City"	0.0733234
"Albert Costa"	0.07331
"New England Patriots"	0.073131
"Dominique Van Roost"	0.0730814
"Brigham Young"	0.0727223
Auburn	0.0721009
"Anne-Gaelle Sidot"	0.0716426
"West Virginia"	0.0707135
"Scott Draper"	0.0706655
"Magui Serna"	0.0705801
Halard-Decugis	0.0705554
"Franco Squillari"	0.0705115
"Arizona Cardinals"	0.0704556
"Kansas City Chiefs"	0.0700624
"Indianapolis Colts"	0.069932
"Andrei Medvedev"	0.0697853
Raptor	0.0696448
"Chanda Rubin"	0.069437
Jayhawks	0.0693808
"Julie Halard-Decugis"	0.0692919
piston	0.0690367
"Younes El Aynaoui"	0.0690254
UTEP	0.0690223
Ivanisevic	0.0687782
gamecock	0.0684911
"Red Storm"	0.0683715
"blue devil"	0.0683116
"Southern Cal"	0.0682606
Furman	0.0675796
"Boston Bruins"	0.0674283
"Sandrine Testud"	0.0672979
"Peter Rasmussen"	0.0669934
"Kansas City Royals"	0.0665731
"Sabine Appelmans"	0.0664421
cougar	0.0661204
"Conchita Martinez"	0.0658399
"New York Giants"	0.0655752
"Albert Portas"	0.0654364
Iona	0.065318
Lehigh	0.0652907
"New York Jets"	0.0651204
Krajicek	0.0650246
"Nicolas Escude"	0.0647111
Enqvist	0.0646403
Guernsey	0.0645412
"San Jose Sharks"	0.0644216
"Green Bay"	0.0643515
"Minnesota Vikings"	0.0642079
"Buffalo Bills"	0.0639889
"Alberto Costa"	0.0637287
"American Todd Martin"	0.0637123
"Patty Schnyder"	0.0633489
Hentgen	0.0633043
Nicol	0.0632274
"San Francisco @@ers"	0.0632029
"Byron Black"	0.0630519
"New York Liberty"	0.0629705
Canuck	0.0628415
"Magdalena Maleeva"	0.062836
"Chicago Bears"	0.0626409
"Loyola Marymount"	0.062471
"Rodney Eyles"	0.0624418
"Vancouver Canucks"	0.0623615
Illini	0.0623323
"Arantxa Sanchez-Vicario"	0.0621543
Siena	0.0621371
"Silvia Farina"	0.0621096
"Nicolas Lapentti"	0.0620167
MetroStars	0.062003
Lafayette	0.0619573
niner	0.0619011
outhit	0.0618925
"Carolina Panthers"	0.0615658
"Alberto Berasategui"	0.061184
"Minnesota Twins"	0.0611371
"Barbara Paulus"	0.060965
"Javier Sanchez"	0.06096
"St. John"	0.0609004
"Thomas Enqvist"	0.0607945
"Yang Ying"	0.0607595
))
(alacrity (desc 1322.35) (sims
rapidity	0.122249
equanimity	0.0776388
haste	0.069693
swiftness	0.0654017
"turn of events"	0.0592573
resiliency	0.0520432
bluntness	0.051886
vehemence	0.0504771
smoothness	0.0504263
"hue and cry"	0.0493255
murder-suicide	0.0481053
trepidation	0.0477858
careerist	0.0474791
calmness	0.0474176
believability	0.0467163
"sense of purpose"	0.0465864
fluidity	0.0456776
"personal appeal"	0.0454713
proviso	0.0452192
"staying power"	0.0449946
directness	0.0440621
gusto	0.0434695
backpacker	0.043222
disorganization	0.042635
thoroughness	0.0411629
pep	0.0408844
metamorphosis	0.0407693
))
(Aladdin (desc 2348.51) (sims
"Snow White"	0.169135
POCAHONTAS	0.164553
"Lion King"	0.133675
Hunchback	0.110375
"Toy Story"	0.105804
"Night Fever"	0.071114
"sleeping beauty"	0.0702941
"Forrest Gump"	0.0669789
Mulan	0.0654789
"King Letsie III"	0.0647741
Tarzan	0.0615194
Pasha	0.0613776
Hercules	0.0608307
ragtime	0.0587987
Aida	0.0559472
"scarlet pimpernel"	0.0528067
"Jurassic Park"	0.0517407
Babylon	0.0516548
"Rugrats Movie"	0.051619
"St. James"	0.0506793
Elijah	0.0484568
Nero	0.0483206
McCourt	0.0482636
Grisham	0.0481208
Caesar	0.0474195
"ugly duckling"	0.0464171
"Treasure Island"	0.0458064
Dalmatian	0.0449529
mermaid	0.0444909
"Peter Pan"	0.0436476
Riverdance	0.0433539
zeppelin	0.0425486
stagecraft	0.0418277
"lighting fixture"	0.041383
Catskill	0.0413419
))
("Alain Juppe" (desc 5065.87) (sims
"Lionel Jospin"	0.229232
"Romano Prodi"	0.205903
"Chavalit Yongchaiyudh"	0.20286
"Necmettin Erbakan"	0.201464
"Valery Pustovoitenko"	0.200238
"Tomiichi Murayama"	0.197345
"Mesut Yilmaz"	0.1916
"Vaclav Klaus"	0.190318
"Costas Simitis"	0.189958
"John Major"	0.188666
"John Bruton"	0.186501
"Pascoal Mocumbi"	0.186262
"Fatos Nano"	0.183438
"Jerzy Buzek"	0.180794
"Lamberto Dini"	0.180224
"Radu Vasile"	0.178518
"Inder Kumar Gujral"	0.178413
"Jose Maria Aznar"	0.176989
"Wim Kok"	0.17631
"H.D Deve Gowda"	0.175195
"Antonio Guterres"	0.174296
"Deve Gowda"	0.173973
"Rafik Hariri"	0.1739
"Ivan Kostov"	0.173049
"Chuan Leekpai"	0.171264
"Vo Van Kiet"	0.170207
"Benazir Bhutto"	0.169279
"Wlodzimierz Cimoszewicz"	0.168391
"Frederick Sumaye"	0.16166
"Goran Persson"	0.161506
"Jean Chretien"	0.159368
"Atal Behari Vajpayee"	0.158522
"Paul Keating"	0.158326
"Salim Hoss"	0.157037
"Atal Bihari Vajpayee"	0.155912
"Ryutaro Hashimoto"	0.155741
"Bulent Ecevit"	0.155458
"Victor Chernomyrdin"	0.155348
"John Howard"	0.154999
"Atef Obeid"	0.154557
"I.K Gujral"	0.154187
"Yevgeny Primakov"	0.153606
"Pandeli Majko"	0.151971
"Paavo Lipponen"	0.148304
"Tansu Ciller"	0.146784
"Bashkim Fino"	0.145295
"Goh Chok Tong"	0.143732
"Binyamin Netanyahu"	0.143559
"Jenny Shipley"	0.14167
"Bertie Ahern"	0.139705
"Mikulas Dzurinda"	0.139487
"Girija Prasad Koirala"	0.139248
"Milos Zeman"	0.139086
"Phan Van Khai"	0.138204
Jospin	0.138033
Juppe	0.137492
"Tang Jiaxuan"	0.136251
"Sher Bahadur Deuba"	0.136094
"Keizo Obuchi"	0.135896
"Begum Khaleda Zia"	0.135721
"Jacques Chirac"	0.135621
"Meles Zenawi"	0.135581
"Prime Minister Kamal El-Ganzouri"	0.134896
"Sergei Kiriyenko"	0.134408
"Sheikh Hasina"	0.133753
"Tony Blair"	0.13357
"Nawaz Sharif"	0.133218
"Abdul Karim Kabariti"	0.132421
"Yoshiro Mori"	0.132356
Dehaene	0.131434
"Shimon Peres"	0.131043
"Ismail Cem"	0.130965
"Lokendra Bahadur Chand"	0.129794
"Sergei Stepashin"	0.128976
"William Perry"	0.128874
"Mahathir Mohamad"	0.128669
el-Ganzouri	0.127758
"Tim Fischer"	0.125609
"Kamal Kharrazi"	0.12527
"Vladimir Meciar"	0.124514
"Jordanian King Abdullah Bin Hussein"	0.123279
al-Hariri	0.123199
"Viktor Chernomyrdin"	0.122287
"Laurent Fabius"	0.121364
"P.V Narasimha Rao"	0.121104
"Tareq Aziz"	0.120595
Lipponen	0.120371
Meles	0.120367
"Margaret Thatcher"	0.11935
"William Cohen"	0.119159
"Igor Ivanov"	0.118846
"Javier Solana"	0.1178
"Hubert Vedrine"	0.117109
Chirac	0.116059
"Qian Qichen"	0.115833
al-Khatib	0.1158
"Gulbuddin Hekmatyar"	0.115442
"Secretary General Esmat Abdel-Meguid"	0.114411
Bhattarai	0.113738
"Amr Moussa"	0.113242
"George Robertson"	0.112755
"Amnuay Virawan"	0.112645
"Bill Skate"	0.112519
"Prime Minister Banharn Silpa-Archa"	0.112367
Kavan	0.111992
"President Kim Dae-jung"	0.111572
"Ricardo Alarcon"	0.110604
"David Levy"	0.110583
"Martti Ahtisaari"	0.11051
"Abdullah Ahmad Badawi"	0.11016
"Fayez Tarawneh"	0.10947
"Benjamin Netanyahu"	0.109414
"Carlos Menem"	0.109082
"Ung Huot"	0.1083
"Secretary General Esmat Abdul-Meguid"	0.107773
"Andreas Papandreou"	0.107637
Moi	0.106481
"Than Shwe"	0.106354
"Khaleda Zia"	0.10625
"Abdul Salam Majali"	0.106168
"Zhu Rongji"	0.105775
"Norodom Ranariddh"	0.105656
al-Sahhaf	0.105641
Simitis	0.105381
"Gro Harlem Brundtland"	0.104375
"Suleyman Demirel"	0.104367
"Menachem Begin"	0.104307
"President Kim Young-sam"	0.104293
al-Bashir	0.103537
"Natan Sharansky"	0.103493
"Krishna Prasad Bhattarai"	0.103489
"William Daley"	0.103391
"Li Peng"	0.103256
"Felipe Gonzalez"	0.102888
"Ehud Barak"	0.102553
Jayakumar	0.102223
"Fernando Henrique Cardoso"	0.102169
Deuba	0.100728
"Boris Yeltsin"	0.100411
Goh	0.0994119
"Bill Richardson"	0.0989359
"Lee Hsien Loong"	0.0987069
"Mikhail Kasyanov"	0.0985185
Axworthy	0.0981554
"finance minister"	0.0981266
"Momir Bulatovic"	0.0980399
"Kiichi Miyazawa"	0.0979387
Banharn	0.0975047
"Mahmoud Zouebi"	0.0971954
"British Foreign Office"	0.0969983
Chuan	0.0967076
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0966858
Vajpayee	0.0964481
"Robert Rubin"	0.0962066
Majali	0.0961349
Wiranto	0.0961202
"Yitzhak Mordechai"	0.095983
Patasse	0.0959383
al-Shara	0.0958479
"Sartaj Aziz"	0.0956991
Zhu	0.0955401
"Noboru Takeshita"	0.0953268
"Secretary of Defense"	0.0951177
"Igor Sergeyev"	0.0950455
Hasina	0.0950361
"Viktor Orban"	0.0949523
"British government"	0.0949437
"Orlando Mercado"	0.0948169
"Archbishop Desmond Tutu"	0.0947823
Hariri	0.0945605
"Vladimir Putin"	0.0942508
"Michael Heseltine"	0.0942475
Abdel-Meguid	0.0940977
"Hosni Mubarak"	0.0940433
"Kofi Annan"	0.0939461
"Chief Executive Tung Chee-hwa"	0.0938783
"Hun Sen"	0.0937933
Scalfaro	0.093792
Gurirab	0.0936244
"Klaus Kinkel"	0.0933976
"Secretary-General Boutros Boutros-Ghali"	0.0933719
Chavalit	0.0933449
Chancellor	0.0933311
"King Fahd"	0.0932839
Al-Thani	0.093054
"Tariq Aziz"	0.093022
"Pakalitha Mosisili"	0.0926231
"Shi Guangsheng"	0.0925708
Chretien	0.0921878
"Helen Clark"	0.0919155
"Jack Straw"	0.0918883
Demirel	0.091846
"Kim Yong Nam"	0.0917512
Al-Sabah	0.0917395
Ecevit	0.0914685
Pangalos	0.0910647
el-Bashir	0.0908861
Museveni	0.0907165
Dini	0.0903033
"Sepp Blatter"	0.090299
))
("Alam Al Yom" (desc 1927.02) (sims
"Al Ahram"	0.513247
"Al Hayat"	0.494019
al-Hayat	0.43525
Al-Ahram	0.424528
"Gulf News"	0.399177
"Business Day"	0.398932
"East African Standard"	0.356344
"Ethiopian Herald"	0.337135
"Khaleej Times"	0.334368
"Kenya Times"	0.327635
"New Vision"	0.327045
"Macao Daily News"	0.324489
Sowetan	0.322886
"Jakarta Post"	0.318626
"China Daily Business Weekly"	0.311428
Noticias	0.307363
"Daily Nation"	0.302005
"Iran News"	0.29884
"Jordan Times"	0.290951
"Egyptian Gazette"	0.28708
Hurriyet	0.283474
"New Nigerian"	0.277625
"Indonesian Observer"	0.277517
"Bangkok Post"	0.276987
"Vietnam News"	0.276422
"Kathmandu Post"	0.272508
"Tehran Times"	0.267693
"Moscow Times"	0.261914
"Nihon Keizai"	0.260251
"Daily Times"	0.260061
"Zambia Daily Mail"	0.257386
"El Mundo"	0.252028
"Business Times"	0.249898
Kommersant	0.247415
Maariv	0.246193
"Nihon Keizai Shimbun"	0.2452
"Ghana News Agency"	0.242646
"Yediot Ahronot"	0.239688
"The Monitor"	0.236565
Haaretz	0.236021
"Jerusalem Post"	0.234954
"Post Express"	0.234376
"Thai News Agency"	0.23271
"Daily Star"	0.228779
"Straits Times"	0.228738
"The New Vision"	0.222937
"South China Morning Post"	0.222293
"Turkish Daily News"	0.22172
"Financial Mail"	0.218958
"New Light"	0.216603
Malaya	0.21465
"Sydney Morning Herald"	0.207716
Politika	0.206245
"Le Figaro"	0.20609
"El Pais"	0.203327
"Business Weekly"	0.199146
"Cyprus News Agency"	0.198557
"Kyodo News"	0.197785
"Press Trust of India"	0.195968
Bild	0.194562
L'Equipe	0.194209
"Agence France Presse"	0.193888
"Radio Uganda"	0.191857
"Rwanda News Agency"	0.190561
"Zimbabwe News Agency"	0.189579
"Southern African Broadcasting Association"	0.18901
Salam	0.188379
Sera	0.185351
"Kyodo News Service"	0.184454
Tass	0.183809
"Daily Mail"	0.182917
"Ethiopian News Agency"	0.181883
"Kuwait News Agency"	0.178968
"Australian Associated Press"	0.178449
"Korean Central News Agency"	0.176647
"Zambia News Agency"	0.176183
Angop	0.174631
"Yomiuri Shimbun"	0.173377
"Asahi Shimbun"	0.173267
"East African"	0.172814
"Saudi Press Agency"	0.168575
"Le Monde"	0.166975
Granma	0.166279
"Egyptian Middle East News Agency"	0.166036
Izvestia	0.163816
"Beijing Daily"	0.163788
Asahi	0.163628
Reforma	0.163585
Antara	0.16241
KPL	0.160818
"Antara News Agency"	0.159689
"Daily Telegraph"	0.158352
Inquirer	0.157552
"China Youth Daily"	0.156645
Lusa	0.156253
Al-Thawra	0.156117
"Philippine News Agency"	0.155912
"Middle East News Agency"	0.154584
"Wenhui Daily"	0.153826
"Athens News Agency"	0.149806
"U.S. Labor Department"	0.147842
"Vietnam News Agency"	0.146769
"New Straits Times"	0.144014
Yomiuri	0.14391
"Associated Press of Pakistan"	0.143318
"Guangming Daily"	0.142958
Ansa	0.142803
"Financial Times"	0.142731
"Denver Post"	0.141832
"National Post"	0.141469
MTI	0.141374
"Daily News"	0.138416
BS	0.135772
"News Agency of Nigeria"	0.135044
"Rodong Sinmun"	0.134951
ATA	0.134537
MENA	0.134422
"Washington Times"	0.133878
"Dallas Morning News"	0.132581
Petra	0.131103
Dominion	0.13076
"Nhan Dan"	0.129834
"New York Post"	0.129735
"Iraqi News Agency"	0.129344
Bernama	0.128963
rainout	0.128562
PTI	0.128214
"Dow Jones Newswires"	0.126662
Kyodo	0.126189
"Koha Ditore"	0.125446
"Washington Post"	0.124428
"USA TODAY"	0.123708
gazette	0.121762
"China Daily"	0.120947
Tanjug	0.119888
"South African Press Association"	0.118186
Notimex	0.117982
"Islamic Republic News Agency"	0.117312
"National Association of Realtors"	0.117083
"Agence France-Presse"	0.116907
IRNA	0.116838
"New York Daily News"	0.115948
"Statistics Canada"	0.115813
"Anatolia News Agency"	0.115237
SAPA	0.115098
"Seattle Times"	0.114535
"U.S. Commerce Department"	0.109873
"British Broadcasting Corporation"	0.109836
WAM	0.109473
"Detroit News"	0.10886
"Los Angeles Times"	0.107294
AFP	0.105364
"Economic Daily"	0.104894
"Wall Street Journal"	0.103317
"Evening Standard"	0.0993401
"Israel Radio"	0.0985317
"Miami Herald"	0.0955246
Eurostat	0.0936149
"International Business Daily"	0.0933532
ABS-CBN	0.0901023
Babel	0.0898421
"Australian Bureau of Statistics"	0.0892474
"NAPA @@@"	0.0892197
Tous	0.0885594
"Hartford Courant"	0.0880277
"United Press International"	0.0877371
RSS	0.0864919
APP	0.086457
"Detroit Free Press"	0.0849827
"press agency"	0.0849453
"Central Bureau of Statistics"	0.0844217
Jana	0.0844162
Sabah	0.0844031
telegraph	0.08361
"Boston Herald"	0.0835055
"Wen Wei Po"	0.0830277
"Hang Seng China-Affiliated Corporations Index"	0.0827269
newsmagazine	0.08231
"Beijing Youth Daily"	0.0822302
"Information Center"	0.0820711
Interfax	0.0808624
Akbar	0.079521
NTV	0.0794782
"Chicago Tribune"	0.0788081
CTV	0.0784713
"Philadelphia Inquirer"	0.0783448
Anatolia	0.0774888
API	0.077483
shootaround	0.0774356
TC	0.0756164
MidCap	0.0740386
Domingo	0.0738576
off-day	0.0734174
temblor	0.0731253
Itar-Tass	0.0728319
"Xinhua News Agency"	0.0723977
"roll call"	0.0716151
"Conference Board"	0.0715989
"Der Spiegel"	0.0713447
Brasil	0.0704977
))
(Alameda (desc 3420.02) (sims
"San Mateo"	0.289216
Emeryville	0.227057
"South San Francisco"	0.221132
Sunnyvale	0.188489
"Santa Cruz"	0.188195
"San Luis Obispo"	0.184655
Burlingame	0.180788
"Santa Clara"	0.17706
Fremont	0.169625
"El Segundo"	0.163435
Napa	0.163266
"Walnut Creek"	0.16145
"Menlo Park"	0.158217
Sausalito	0.156636
Cupertino	0.155042
"La Jolla"	0.154008
Fresno	0.153654
Hayward	0.153637
Marin	0.152639
"Westlake Village"	0.147033
Pleasanton	0.146371
"Culver City"	0.144786
"Redwood City"	0.144483
"Santa Rosa"	0.134927
Calabasas	0.132618
"Thousand Oaks"	0.1318
Vallejo	0.131667
Waltham	0.130632
Monterey	0.129523
"Mill Valley"	0.128886
"Mountain View"	0.128709
"Simi Valley"	0.12836
Englewood	0.123847
Burlington	0.121924
Sonoma	0.1201
Encino	0.119134
"Santa Ana"	0.119117
"Santa Barbara"	0.118997
"Woodland Hills"	0.117138
"San Rafael"	0.114285
"Fort Lee"	0.113229
"Palo Alto"	0.112825
Mendocino	0.11175
"Santa Monica"	0.111536
"East Orange"	0.110873
Petaluma	0.110832
Cumberland	0.110465
Braintree	0.110441
Reston	0.10917
Fairfax	0.108936
Carmel	0.10852
"San Bernardino"	0.108185
"Newport Beach"	0.106936
Berkeley	0.106782
riverside	0.10662
Rockville	0.105394
"San Carlos"	0.105099
Burbank	0.104817
Hillsborough	0.104366
"North Hollywood"	0.102501
Glendale	0.102283
"Century City"	0.10228
"Cherry Hill"	0.100578
Inglewood	0.0996514
Torrance	0.0984823
"Van Nuys"	0.0974924
"Marin County"	0.0972238
"Round Rock"	0.097024
"East Bay"	0.0965687
"Santa Clarita"	0.0964039
Brentwood	0.0960622
"Sherman Oaks"	0.0957726
Sussex	0.095749
"Overland Park"	0.0954189
Framingham	0.0949215
Palmdale	0.0945508
Norcross	0.0943826
"Santa Clara County"	0.0942819
Bakersfield	0.0940849
Claremont	0.0940101
Carlsbad	0.0938174
Leavenworth	0.0928594
Reseda	0.0927639
Norwalk	0.0925294
Bergen	0.0923647
Alpharetta	0.0921495
Folsom	0.0919787
Zhangbei	0.0914949
LAKEWOOD	0.0913147
Tarzana	0.0903492
Westport	0.0899568
Andover	0.0893431
"Delray Beach"	0.0891381
Modesto	0.0887102
Brunswick	0.0884794
Chatham	0.0883747
"Manhattan Beach"	0.0880646
"Silver Spring"	0.0878803
Needham	0.0877058
Schenectady	0.0867002
Elmira	0.0866796
Wellesley	0.0866512
Chatsworth	0.0865649
"West Orange"	0.0859738
Hopkinton	0.0857522
"West Hollywood"	0.085436
Somerset	0.0852345
"Studio City"	0.0852086
Sacramento	0.0849353
Cayuga	0.0848253
"White Plains"	0.0845067
Danbury	0.084439
"Mission Viejo"	0.0841145
Herndon	0.0837489
Eureka	0.0834488
Antioch	0.0833
"Huntington Beach"	0.0830407
Middlesex	0.0828369
Stamford	0.0826004
Nashua	0.0825491
Poughkeepsie	0.0825
Pasadena	0.0824793
Youngstown	0.0823639
Somerville	0.0822693
"San Jose"	0.0822022
Pittsfield	0.0820181
Bellevue	0.0818133
Danville	0.0809929
Rockland	0.0798765
Duluth	0.0797497
"Palm Springs"	0.0797244
Farmington	0.0796088
Spokane	0.0795171
Marlborough	0.0792514
Passaic	0.0791259
Londonderry	0.0790404
Morristown	0.0789802
Pittsburg	0.0789099
Groton	0.0781282
Americus	0.0781243
"Great Neck"	0.0779764
Middletown	0.0774873
Woburn	0.0774208
Newton	0.0771257
Wilmington	0.0767905
Boise	0.076506
"New London"	0.0764425
Wichita	0.0763882
"Granada Hills"	0.0762278
"Orange County"	0.0762215
Bensonhurst	0.0761264
"Pacific Palisades"	0.0760978
"New Rochelle"	0.0758497
Plattsburgh	0.0755383
Gloucester	0.0754197
Quincy	0.0754016
"New Haven"	0.0753789
oceanside	0.0750897
Lancaster	0.0748258
Irvine	0.0746296
Denton	0.0745599
Gwinnett	0.0744841
"Research Triangle Park"	0.0742718
Broward	0.0741609
Minneapolis	0.0740992
"Garden City"	0.0736359
Marietta	0.0736237
Yakima	0.0735349
Fairfield	0.0732375
Randolph	0.0721722
Hartford	0.0721611
Cambridge	0.0721418
Falmouth	0.0720778
Oxnard	0.0719341
Malibu	0.0719299
Yonkers	0.0718716
Miami-Dade	0.0717716
"Boynton Beach"	0.0716695
Acton	0.0715896
Kensington	0.0715288
Irvington	0.0714884
Beaumont	0.0714881
Utica	0.0712525
"West Palm Beach"	0.0703113
Bridgewater	0.0702823
"Fort Wayne"	0.0702131
DeKalb	0.0697998
Waterbury	0.0695563
Lijiang	0.0692406
"East Los Angeles"	0.0691541
"Jersey City"	0.0689013
Richmond	0.0688324
Khabarovsk	0.0687901
Carrollton	0.0686562
Pomona	0.0686046
ASHEVILLE	0.0684907
Lexington	0.0682978
Tijuana	0.0680736
Renton	0.067947
Woodside	0.0677894
))
(Alamo (desc 8151.58) (sims
Avis	0.0859434
Vukovar	0.0785116
Hertz	0.0653741
Guadalcanal	0.0635048
"Los Alamos"	0.0627444
Gettysburg	0.0569686
Bataan	0.0554831
"Mount Carmel"	0.0544412
"Pearl Harbor"	0.0533864
Monticello	0.0531503
Livermore	0.052679
Davidian	0.0524897
Srebrenica	0.0510023
Gator	0.0489101
Oedipus	0.0486473
Woodstock	0.0483737
Fatima	0.0482694
Auschwitz	0.046755
"Branch Davidian"	0.0461377
SETI	0.0449368
"Desert Storm"	0.0443316
Leningrad	0.0441328
"Iwo Jima"	0.0440204
"Gun Ri"	0.0438101
Cupertino	0.0437818
Alamodome	0.0433361
"Revolutionary War"	0.0430607
Attica	0.0426813
"Second Amendment"	0.0424165
"Holy Land"	0.0422634
"Opium War"	0.0421662
"Los Alamos National Laboratory"	0.0418474
Saratoga	0.0418391
D-day	0.0418363
Ojai	0.0405699
))
("Alamo Bowl" (desc 1180.65) (sims
"Kickoff Classic"	0.218661
"Holiday Bowl"	0.191713
"sugar bowl"	0.128112
"Orange Bowl"	0.124291
"East Regional"	0.10885
tie-break	0.101598
nightcap	0.100474
"National Invitation Tournament"	0.0997227
"Western Conference Finals"	0.0975907
"extra inning"	0.0914369
"South Regional"	0.0911248
"East Rutherford"	0.0886689
"regulation time"	0.0885236
"West Regional"	0.0883676
"Midwest Regional"	0.085443
"NFC Championship Game"	0.0843294
"Cotton Bowl"	0.0843276
"Fiesta Bowl"	0.0823171
"College Station"	0.0820332
"day game"	0.0813656
"Little League World Series"	0.0811877
"Big @@"	0.0794377
"AFC Championship Game"	0.0781802
"Super Bowl XXXIII"	0.0766977
"European Champions League"	0.0734075
"AFC Central"	0.0732341
regionals	0.0728018
"Big Sky Conference"	0.070674
"Atlantic Coast Conference"	0.0693701
NLCS	0.0693509
"Trans World Dome"	0.0690517
"Auburn Hills"	0.0681207
"MLS Cup"	0.0680046
"American League Championship Series"	0.0663072
"East Lansing"	0.0644831
"Fed Cup"	0.0640442
"Italian Cup"	0.0638371
"NFL Europe"	0.0632609
"round robin"	0.0631684
"NBA Finals"	0.0612605
"Japan Open"	0.0600401
"Super Bowl XXXIV"	0.0598068
"College World Series"	0.059748
"NCAA Tournament"	0.0595968
"Peach Bowl"	0.0594022
NCAAs	0.0591852
"Week @"	0.0590718
"mental institution"	0.0582023
post-season	0.0579792
"last five minutes"	0.0572386
"National League Championship Series"	0.0567353
"Boston Garden"	0.0565138
nit	0.0563001
"NFC East"	0.0555447
Tuscaloosa	0.0552628
"Asian Cup"	0.0551745
"Big Sky"	0.0549616
"European Cup"	0.0537307
"Big East"	0.0536747
decider	0.053639
"Pan American Games"	0.0535849
"Santa Anita Derby"	0.0533238
"AFC West"	0.0529153
"International Hockey League"	0.0525696
"Senior Bowl"	0.0522527
"Gator Bowl"	0.0519706
"Kentucky Oaks"	0.0518047
"next three weeks"	0.0516605
"Canadian Open"	0.0513188
"Dunhill Cup"	0.0510968
"Solheim Cup"	0.0509936
"Libertadores Cup"	0.0503748
"match play"	0.0502681
"Pauley Pavilion"	0.0502466
Bundesliga	0.0494033
"Pan Ams"	0.0488492
Foxboro	0.0485627
"fifth minute"	0.0482265
Carlsbad	0.0479247
"U.S. Senior Open"	0.0477193
"World Group"	0.0477172
"exhibition season"	0.0476312
"Negro Leagues"	0.0474387
Halle	0.0472128
"Beijing Zoo"	0.0471319
"Sanford Stadium"	0.0467931
Superdome	0.0464831
"Southeastern Conference"	0.0461238
"Western Athletic Conference"	0.0459842
"final period"	0.0457678
"National Hockey League"	0.0457318
shoot-out	0.0456423
AHL	0.0456148
"Davis Cup World Group"	0.0455947
"Conference USA"	0.045418
Astrodome	0.0451983
"first two minutes"	0.0447843
"Family Court"	0.0447572
"basketball league"	0.0446914
Pacific-@@	0.0444556
Dunedin	0.0443309
"Federation Cup"	0.0442589
Lubbock	0.0440727
"Millrose Games"	0.0440618
Filderstadt	0.0439109
ALCS	0.0438418
"Happy Valley"	0.0433154
A.L.	0.0430909
"Copa America"	0.042614
"Stanley Cup Finals"	0.0420951
"Mile High Stadium"	0.0418632
"World University Games"	0.0418514
"Nissan Open"	0.0417855
"Gold Cup"	0.0416015
"NFC West"	0.0415676
"Texas Stadium"	0.0413029
"Division Series"	0.0411568
"Big West"	0.0410361
"juvenile court"	0.04103
"Group A."	0.0408954
"Atlanta Olympic"	0.040849
"European Championship"	0.0406805
"African Cup"	0.0406511
"FA Cup"	0.0405511
EuroLeague	0.0404855
"public domain"	0.0402758
tuneup	0.0400136
))
(Alamodome (desc 4940.18) (sims
"Compaq Center"	0.208519
"Delta Center"	0.200862
"Conseco Fieldhouse"	0.166161
"Market Square Arena"	0.162751
"America West Arena"	0.159976
"Pauley Pavilion"	0.158963
"Reunion Arena"	0.153094
KeyArena	0.151447
"Joe Louis Arena"	0.145846
Astrodome	0.139047
"United Center"	0.138965
"Madison Square Garden"	0.137174
"Continental Arena"	0.131883
"Foxboro Stadium"	0.13101
"Qualcomm Stadium"	0.129729
Metrodome	0.128991
"Staples Center"	0.128096
"Olympic Stadium"	0.127299
"Great Western Forum"	0.126391
"Boston Garden"	0.12589
FleetCenter	0.124194
"Busch Stadium"	0.122369
"Georgia Dome"	0.122058
"RCA Dome"	0.121647
"Jacobs Field"	0.11855
"Nassau Coliseum"	0.117229
"Edison Field"	0.112858
"Soldier Field"	0.112794
"Tropicana Field"	0.111306
"Continental Airlines Arena"	0.109262
"Dodger Stadium"	0.1065
"Shea Stadium"	0.105585
"Mile High Stadium"	0.105379
"Cinergy Field"	0.1044
"Veterans Stadium"	0.103024
"Devil Stadium"	0.103021
"Marine Midland Arena"	0.102545
"Turner Field"	0.101347
"Giants Stadium"	0.100685
"Rivers Stadium"	0.0989777
"Lambeau Field"	0.0988659
Kingdome	0.0985897
"Fenway Park"	0.0968531
"Yankee Stadium"	0.0967327
"Candlestick Park"	0.0962341
"rose garden"	0.0959861
"MCI Center"	0.095676
Superdome	0.0945229
"Texas Stadium"	0.0936034
"Wrigley Field"	0.0932192
"sports arena"	0.0925349
"Camden Yards"	0.0918109
"County Stadium"	0.0913108
"Stade Velodrome"	0.0908233
"Cotton Bowl"	0.0907196
Foxboro	0.0905792
"Stade de France"	0.0887801
SkyDome	0.0877791
"World Basketball Championship"	0.0866936
"Arrowhead Stadium"	0.0862105
Coliseum	0.0840675
Shea	0.0838961
"RFK Stadium"	0.0834634
"Kiel Center"	0.0825029
"Miami Arena"	0.0819031
"Riviera Country Club"	0.0818066
"Kyle Field"	0.0817716
"Coors Field"	0.0814557
"Rose Bowl"	0.0809948
"Comiskey Park"	0.0805887
"Trans World Dome"	0.0768507
"Pro Player Stadium"	0.0767499
"Oakland Coliseum"	0.0752933
"Safeco Field"	0.0748958
"Memorial Stadium"	0.0743388
"Orange Bowl"	0.0722899
"National Stadium"	0.0717922
Meadowlands	0.0714341
"Ebbets Field"	0.0712505
Wrigley	0.0660437
"Shrine Auditorium"	0.0650002
"Philips Arena"	0.0649067
"Wembley Stadium"	0.0644023
"Jack Kent Cooke Stadium"	0.062963
"Sanford Stadium"	0.0629016
"Polo Grounds"	0.0617927
Fenway	0.061734
"Tiger Stadium"	0.0616495
"civic center"	0.061435
Safeco	0.0611202
"Tokyo Dome"	0.0608619
"Augusta National Golf Club"	0.0600149
"Melbourne Park"	0.05997
"Melbourne Cricket Ground"	0.0594095
"Kauffman Stadium"	0.0591301
"Roland Garros"	0.0588563
"Enron Field"	0.0579803
"National Tennis Center"	0.0578505
"San Antonio"	0.0574182
"UC Irvine"	0.0570134
"about @:@@"	0.0560053
"Valley Ranch"	0.0555217
Medinah	0.0544507
"Old Trafford"	0.0541702
Marseille	0.0535664
"Comerica Park"	0.053563
"Twin Towers"	0.0529841
Carnoustie	0.0529007
"Pacific Bell Park"	0.0528686
Indianapolis	0.0527891
"Pinehurst No. @"	0.0526904
"Pepsi Center"	0.0518292
"Ryder Cups"	0.0516859
"Cal State Fullerton"	0.0513379
Wembley	0.0511223
"Fleet Center"	0.0511214
"Royal Birkdale"	0.0508754
"Michigan Speedway"	0.0502682
Highbury	0.0499514
Lyon	0.0499392
"Sacramento State"	0.0496817
"Indian Wells"	0.0496535
"country club"	0.049344
Cardiff	0.0492277
Foxborough	0.0489186
"Olympic Park"	0.0487
Eastbourne	0.0482977
"Pan Am Games"	0.0480792
"Civic Arena"	0.04792
Longwood	0.0478505
"Fiesta Bowl"	0.0474969
COMDEX	0.047376
"Maple Leaf Gardens"	0.0470608
"Tim Duncan"	0.0468705
"Oregon State"	0.0468499
Bormio	0.0465176
Knoxville	0.0464473
ballroom	0.0464424
"Sahalee Country Club"	0.0463838
"Symphony Hall"	0.0461062
Dunedin	0.0457052
"sugar bowl"	0.0456955
Storrs	0.0456866
"Walter Reade Theater"	0.0454219
candlestick	0.0453795
"sixth grade"	0.0451778
"Indianapolis Motor Speedway"	0.0449692
"Northern Arizona"	0.0448084
"Wye Plantation"	0.0442199
"Miami Fusion"	0.0437635
"Centre Court"	0.0437222
"East Lansing"	0.043681
Sestriere	0.0436453
"First Union Center"	0.0435406
"National League East"	0.0433811
Honolulu	0.0433366
Alamo	0.0433361
"NFC Championship Game"	0.0433
"Pac Bell Park"	0.0427798
Brisbane	0.0425833
"South Regional"	0.0425324
Tacoma	0.042275
"Olympic Club"	0.0422205
"Canadian Football League"	0.0421827
"Metropolitan Opera House"	0.0420733
"Big Sky Conference"	0.0417755
"Churchill Downs"	0.0415594
"Fighting Irish"	0.0415458
"Western Conference"	0.0415457
"Green Bay"	0.0414138
"Daytona International Speedway"	0.0409902
"Stamford Bridge"	0.0409794
"Washington State"	0.0409187
Tucson	0.0408368
"domed stadium"	0.0407632
NHIS	0.0407019
"French Open"	0.0406165
"NBA Finals"	0.0406115
Pepperdine	0.0404559
"Pebble Beach"	0.0403514
Mannheim	0.0402753
"National Invitation Tournament"	0.0401522
))
(Alan (desc 7674.82) (sims
Steven	0.132722
Jeff	0.125332
Carl	0.124162
Gerald	0.115188
Brian	0.113669
Randy	0.113198
tom	0.112086
Robert	0.110434
Ronald	0.109857
Jim	0.109491
Tim	0.109194
Edward	0.109048
Anthony	0.108025
Richard	0.106912
Jonathan	0.106418
William	0.104952
Eric	0.104441
Gary	0.104124
Greg	0.104117
Evan	0.103959
Ralph	0.103331
Jason	0.102963
Ken	0.102626
Jeremy	0.102075
Larry	0.101235
Steve	0.100717
Paul	0.100087
David	0.0994264
Chris	0.0981367
Fred	0.0978928
Sam	0.0978245
Walter	0.0973023
Hugh	0.0970784
Matthew	0.095764
Philip	0.0956958
Jamie	0.095683
Neil	0.0956627
Theo	0.0955998
Roger	0.0954355
Peter	0.0949645
Wayne	0.0949252
Sean	0.0947907
Dan	0.0946298
Bobby	0.0944981
John	0.0938194
Michael	0.0932045
Rick	0.0923844
Patrick	0.0921513
Dave	0.0917088
Stephen	0.0916664
Kenneth	0.0914766
Kevin	0.0910312
"Scott Boras"	0.0908978
Jerry	0.0908735
Charles	0.0907339
mike	0.0898194
Byron	0.0891525
Jeb	0.0888544
Danny	0.0886809
Samuel	0.0885341
Harold	0.0883569
"Al Joyner"	0.0882909
Arthur	0.0881509
Daniel	0.0863977
Albert	0.085718
Kyle	0.0854856
Joe	0.0854222
Ed	0.0852934
Jake	0.0850815
Harry	0.0848253
Bruce	0.0845764
Jimmy	0.0835646
don	0.0831694
Roberto	0.0831078
Mario	0.0829158
Phillip	0.082592
Marty	0.0821844
Frank	0.0817995
Brett	0.0815229
Kenny	0.081269
BOB	0.0811862
Doug	0.0810717
Joshua	0.0809433
Vladimir	0.0807196
matt	0.0806488
Andrew	0.0804004
Andrei	0.0803321
Louis	0.0800971
Marvin	0.0799469
Gabriel	0.0796044
Joel	0.0794669
Ian	0.0794288
Trevor	0.0790991
Ronnie	0.079029
Dominic	0.0789078
Dennis	0.078858
Robbie	0.0788139
Christopher	0.0787879
"Earl Spencer"	0.078534
Keith	0.0780808
Ted	0.077857
Bernard	0.0776594
dick	0.0776172
"David Falk"	0.0776084
Jon	0.0768151
Andy	0.0768055
Ben	0.0767982
Josh	0.0767808
Gerard	0.0765686
Phil	0.076503
Shawn	0.0761002
Adrian	0.0760644
Charlie	0.0759707
Barry	0.0759365
Antonio	0.075635
Joseph	0.0756315
Hans	0.0755342
Brad	0.0754507
Juan	0.0754369
James	0.075332
Leo	0.0752702
Ron	0.0752624
Eduardo	0.0752537
jack	0.0751519
Tony	0.0743095
Stan	0.073761
Derek	0.0734854
Pam	0.0731159
Scott	0.0727573
Aaron	0.0724508
Craig	0.0723371
Eddie	0.0722172
Henry	0.0721809
sandy	0.0717472
Luis	0.0717326
Terry	0.0717034
Ramon	0.0714183
Todd	0.0712833
Alex	0.0710482
Noel	0.0709233
Carlos	0.0709129
timothy	0.0706052
Edmund	0.0703531
Jose	0.0702938
Clyde	0.0700917
Jacob	0.0700619
Rifaat	0.069958
Donald	0.0698516
"George W."	0.0698161
jay	0.0697647
Liam	0.0697344
Darryl	0.069534
George	0.0687358
Jeffrey	0.068714
Andre	0.068628
Marc	0.0684412
Nicholas	0.0683699
Amy	0.0679114
Cynthia	0.0676143
Maurice	0.0675786
Justin	0.0674124
Barbara	0.0673182
Karl	0.0670931
Luke	0.0670141
"John Jr."	0.0669281
Allan	0.066785
Gus	0.0667357
Billy	0.0666486
Bryan	0.066321
Brent	0.0662016
Reggie	0.0657856
Edgar	0.0653374
"Asif Ali Zardari"	0.065248
Cody	0.065119
"C.J Hunter"	0.0650672
Bernie	0.0641711
Mohammed	0.0638099
Joey	0.0637185
Mel	0.0636795
Ernie	0.06364
Julian	0.0633843
nick	0.0633488
Roy	0.0632183
Raymond	0.0629738
Adam	0.0629329
Tommy	0.0625906
Jackie	0.0624472
Jorge	0.0623889
Zachary	0.0621978
Casey	0.0621763
Ricky	0.0620881
Michelle	0.061897
Rusty	0.0618551
Manuel	0.0618309
J.J	0.061819
Dodi	0.0618186
Erik	0.0616731
Sergei	0.0612254
Jessie	0.0611465
"Michael Ovitz"	0.0610644
))
("Alan Ball" (desc 1561.99) (sims
"Paul Schrader"	0.143496
"Kevin Williamson"	0.131365
"John Irving"	0.113244
"Sam Mendes"	0.102952
"David Mamet"	0.0949405
"Lu Xun"	0.0928057
"Wole Soyinka"	0.0899377
cinematographer	0.0874573
"David Remnick"	0.0850393
"Aaron Sorkin"	0.0781211
"Andrew Morton"	0.0766712
"David E. Kelley"	0.0748517
"Graham Greene"	0.0726972
"Salman Rushdie"	0.0696593
"Nora Ephron"	0.0682485
"Ron Howard"	0.0673436
"Ken Saro-Wiwa"	0.0646274
"Tom Stoppard"	0.0638622
"Rob Reiner"	0.063223
cinematography	0.0618051
"stage manager"	0.0606969
"Rob Thomas"	0.0603429
co-producer	0.0595597
"John Waters"	0.0592442
"Joe Murray"	0.0573429
"Susan Stroman"	0.056956
"George Tenet"	0.056432
"Isabel Allende"	0.0563741
Epstein	0.0562046
"David Irving"	0.0557148
"Edmund Morris"	0.0556419
scriptwriter	0.0553503
"Usual Suspects"	0.0552699
co-writer	0.0537339
"Louis Freeh"	0.0536791
"William Styron"	0.053357
"David Hare"	0.0511819
Whaley	0.0505217
"Eudora Welty"	0.0491903
"Tim Burton"	0.0484376
"Arthur Miller"	0.0466332
Wasserstein	0.0464567
"film maker"	0.0459539
"Mike Nichols"	0.0440532
"Pedro Almodovar"	0.0439434
LaBute	0.0438701
Leland	0.0437778
"Stan Lee"	0.0435239
"Ed Harris"	0.043485
"La Bella"	0.0426856
"Gabriel Garcia Marquez"	0.0426763
"Charles LaBella"	0.0423441
librettist	0.0420996
"James Jones"	0.0415246
"Victor Hugo"	0.0408214
Colette	0.0405427
Nora	0.0404028
))
("Alan Cumming" (desc 2376.68) (sims
"Anthony Hopkins"	0.103417
"Audra McDonald"	0.0988273
"Geoffrey Rush"	0.089005
"Elisabeth Shue"	0.0887062
"Liam Neeson"	0.0801195
"Judi Dench"	0.0772897
"Nathan Lane"	0.0767262
"Dennis Quaid"	0.0742437
"Edie Falco"	0.0737681
"Richard Hatch"	0.0715341
"Tommy Lee Jones"	0.0704205
"Hilary Swank"	0.0693058
"Kelsey Grammer"	0.0687013
"Michelle Pfeiffer"	0.0652577
"Sarah Jessica Parker"	0.0642091
"Dennis Franz"	0.0624723
"Donald Sutherland"	0.0622973
"Rupert Everett"	0.0622586
"Jeff Bridges"	0.0594237
"Jeremy Irons"	0.0586863
"Eddie Cheever"	0.0574207
Daylami	0.0568657
"Janet McTeer"	0.0559379
"Frances McDormand"	0.0542806
"Sela Ward"	0.0537562
"Jeremy Northam"	0.0536686
"Julia Roberts"	0.0531084
"Gillian Anderson"	0.0527513
"Helen Hunt"	0.0525388
"William Shatner"	0.0517032
"Gabriel Byrne"	0.0515849
"Kathy Bates"	0.0509959
"Angelina Jolie"	0.0508151
"Roberto Benigni"	0.0493
"Bette Davis"	0.0490353
O'Hara	0.0482306
"Koji Ito"	0.0481305
"Michael J. Fox"	0.0478937
"Eric Cantona"	0.0475332
"Halle Berry"	0.0475002
"Michel Platini"	0.0471158
"Kevin Spacey"	0.0465273
"Awesome Again"	0.046361
"Jonathan Demme"	0.0459829
"Reese Witherspoon"	0.0457064
Lassiter	0.0452366
"James Gandolfini"	0.0450869
"Hugh Grant"	0.0450629
"Miguel Indurain"	0.0444728
"Sam Shepard"	0.0439076
"Chloe Sevigny"	0.0436727
"Rocco Mediate"	0.0435135
Theodore	0.0432477
"Meryl Streep"	0.0430157
"Andre Braugher"	0.0430034
"Al Unser Jr."	0.0429791
"Hu Weidong"	0.0428975
"Drew Barrymore"	0.0428704
"Ralph Fiennes"	0.0427721
"Richard Virenque"	0.0424664
"Winning Colors"	0.0419127
"James Van Der Beek"	0.0416201
"Kathleen Turner"	0.041526
"Ben Affleck"	0.0412706
"Cate Blanchett"	0.0412641
"Robert Carlyle"	0.0410896
"Cuba Gooding Jr."	0.0410613
"Kevin Bacon"	0.0407454
Longo	0.0404311
Dorsett	0.0404184
"Ray Charles"	0.0403803
"Hidetoshi Nakata"	0.0401014
))
("Alan Embree" (desc 1207.77) (sims
"Jason Christiansen"	0.359197
"Pedro Borbon"	0.351157
"Kirk Rueter"	0.338396
"Rich Rodriguez"	0.321768
"Mike Magnante"	0.306552
"Ron Villone"	0.298872
"Greg Swindell"	0.29548
"Mike Remlinger"	0.292992
"Chuck McElroy"	0.28707
"Jesse Orosco"	0.286253
"Russ Springer"	0.280863
"Brian Anderson"	0.275687
"Brian Bohanon"	0.27425
"Shawn Estes"	0.273835
"Randy Myers"	0.271031
"Arthur Rhodes"	0.265198
"Onan Masaoka"	0.26407
"Eric Gunderson"	0.263861
"Mike Holtz"	0.263809
"Paul Spoljaric"	0.262335
"Mike Stanton"	0.258133
"Scott Radinsky"	0.25606
"Mark Gardner"	0.2555
"Graeme Lloyd"	0.254122
"Mark Langston"	0.252791
"Mark Guthrie"	0.249943
"Robb Nen"	0.245926
"Bruce Chen"	0.244001
"Rheal Cormier"	0.24354
"Omar Daal"	0.240935
"Terry Mulholland"	0.239957
"Russ Ortiz"	0.227164
"Mike Venafro"	0.222172
"Dennis Cook"	0.216399
"Allen Watson"	0.215897
"Kent Mercker"	0.215366
"Donne Wall"	0.21497
"Ricky Bottalico"	0.211834
"Rudy Seanez"	0.211659
"Byung-Hyun Kim"	0.209681
"Doug Davis"	0.209565
"Todd Jones"	0.203666
"Jeff Williams"	0.203275
"Mike Timlin"	0.198956
"Jim Parque"	0.196247
"Mark Petkovsek"	0.193476
"Scott Karl"	0.192203
"Danny Graves"	0.190759
"Jose Mesa"	0.1904
"Ed Yarnall"	0.18853
"Terry Adams"	0.188388
"Eric Milton"	0.187354
"John Halama"	0.186623
"Matt Mantei"	0.183159
"John Franco"	0.182986
"Paul Shuey"	0.182199
"Doug Henry"	0.182103
"DOUG JONES"	0.181805
"Odalis Perez"	0.181767
"Pat Mahomes"	0.180498
"Jose Paniagua"	0.180164
"Turk Wendell"	0.178719
"Scott Sullivan"	0.178303
"Jeff Nelson"	0.17799
"Billy Taylor"	0.176704
"Pete Schourek"	0.175529
"Rick White"	0.175424
"Jay Powell"	0.175264
"Bryce Florie"	0.174992
"Gregg Olson"	0.174669
"Shigetoshi Hasegawa"	0.173555
"Billy Wagner"	0.171876
"Al Levine"	0.171814
"Mike Fetters"	0.170793
"Jim Corsi"	0.169847
"Matt Herges"	0.169629
"Tim Crabtree"	0.169362
"Jesus Sanchez"	0.167829
"Rick Aguilera"	0.166449
"Jose Jimenez"	0.165954
"Heathcliff Slocumb"	0.16512
"Scott Williamson"	0.164135
"Jarrod Washburn"	0.161415
"Armando Reynoso"	0.159914
"Mike Sirotka"	0.159384
"Jeff Zimmerman"	0.159085
"Rich Garces"	0.158607
"Kevin McGlinchy"	0.157766
"Dan Miceli"	0.156874
"Sterling Hitchcock"	0.156119
"Jeff Fassero"	0.154332
"Dennis Martinez"	0.153487
"Mike Williams"	0.15257
"John Hudek"	0.151125
"Kerry Ligtenberg"	0.151014
"Jamie Moyer"	0.150724
"John Wasdin"	0.148699
"Jamie Arnold"	0.14773
"Greg McMichael"	0.146529
"Darren Holmes"	0.145998
"Jason Grimsley"	0.145027
"Livan Hernandez"	0.144858
"Vladimir Nunez"	0.144704
"Darren Oliver"	0.142647
"Bob Wickman"	0.142342
"Troy Percival"	0.14219
"Dennis Reyes"	0.14149
"Carlos Perez"	0.141282
"Matt Perisho"	0.141115
"Denny Neagle"	0.1402
"Mike Morgan"	0.139761
"Wilson Alvarez"	0.139492
"Rod Beck"	0.139379
"John Burkett"	0.139257
"Steve Avery"	0.13907
"Jeff Brantley"	0.13787
"Ugueth Urbina"	0.137793
"Sidney Ponson"	0.137187
"Danny Patterson"	0.136535
"Mark Leiter"	0.135544
"Frankie Rodriguez"	0.135343
"Woody Williams"	0.133273
"Paul Abbott"	0.133245
"Chris Carpenter"	0.132945
"Jon Lieber"	0.132795
"STEVE WOODARD"	0.132467
"Roberto Hernandez"	0.132451
"Matt Morris"	0.131938
"Andy Benes"	0.131763
"Mac Suzuki"	0.130984
"Willie Blair"	0.130575
"Alan Mills"	0.129273
"Antonio Osuna"	0.128931
"Derek Lowe"	0.128876
"Brian Moehler"	0.128649
"Jason Isringhausen"	0.128613
"Chuck Finley"	0.127901
"Jeff Shaw"	0.127847
"John Wetteland"	0.127685
"Kazuhiro Sasaki"	0.127667
"Ramiro Mendoza"	0.127207
"Tom Gordon"	0.127048
"Justin Thompson"	0.126954
"John Rocker"	0.126908
"Armando Benitez"	0.126372
"Chris Holt"	0.125023
"Octavio Dotel"	0.124269
"Matt Franco"	0.123627
"Tom Candiotti"	0.122859
"Tom Glavine"	0.122579
"Steve Parris"	0.121949
"Orel Hershiser"	0.121133
Petkovsek	0.120811
"Kenny Rogers"	0.120202
"Dave Mlicki"	0.119424
Mahomes	0.11921
"Carl Pavano"	0.119041
"Jamey Wright"	0.117969
"Francisco Cordero"	0.116495
"Pat Hentgen"	0.116475
"Brett Tomko"	0.11623
"Dwight Gooden"	0.115175
"Al Leiter"	0.11387
"Mark Wohlers"	0.113192
Schourek	0.112854
"Mike Hampton"	0.112068
"Brian Rose"	0.11144
Bohanon	0.110735
"Jeff Weaver"	0.110335
Clavet	0.109991
"Scott Schoeneweis"	0.109972
"Jason Schmidt"	0.109224
"Javier Vazquez"	0.108869
"Jaret Wright"	0.108463
Suppan	0.108229
"Brett Hinchliffe"	0.108041
"Pedro Astacio"	0.107969
"Kevin Tapani"	0.107798
"Mariano Rivera"	0.107777
"Bill Pulsipher"	0.107595
"Brian Williams"	0.107222
"Francisco Cordova"	0.106468
"Tim Wakefield"	0.10636
"Mike Judd"	0.106345
"John Snyder"	0.106301
Bere	0.105108
"Joey Hamilton"	0.104165
"Trevor Hoffman"	0.103875
"Pat Rapp"	0.102881
Wohlers	0.102798
"Scott Elarton"	0.10252
"Omar Olivares"	0.102323
"Dustin Hermanson"	0.102208
Checo	0.102199
"Ramon Ortiz"	0.102027
Astacio	0.101276
"Andy Pettitte"	0.10123
acetaminophen	0.101148
"Jason Bere"	0.0990588
Herges	0.0984953
))
("Alan Greenspan" (desc 10700.8) (sims
Greenspan	0.231567
"Arthur Levitt"	0.113618
"Jim Nicholson"	0.113132
"Tony Coelho"	0.108789
"Lawrence Summers"	0.108064
"Sumner Redstone"	0.103888
"Gene Sperling"	0.0974802
Ekeus	0.0962659
"William Daley"	0.0954735
Kennard	0.09434
"John Shalikashvili"	0.0934992
"Henry Hyde"	0.093363
"Henry Shelton"	0.0929932
"Gerald Levin"	0.0922297
"William Perry"	0.0906351
"Henry H. Shelton"	0.0895155
"Alexis Herman"	0.0887401
"Richard Butler"	0.0869728
"Bill Archer"	0.0861002
"Bill Richardson"	0.0848092
Zarb	0.0845348
"Robert Rubin"	0.0839234
"William Cohen"	0.0838231
"Lucio Tan"	0.0830111
"Nur Misuari"	0.0828076
"Colin Powell"	0.0819497
"Bill Lann Lee"	0.0819238
Barshefsky	0.08167
"Kim Jong-pil"	0.0813703
"Viktor Chernomyrdin"	0.0810185
"William Roth"	0.0804668
"Michael Eisner"	0.080352
"Roy Romer"	0.0800253
Duisenberg	0.0800247
Rubin	0.0797596
"M. Douglas Ivester"	0.0791468
Harmoko	0.0791171
"Archbishop Desmond Tutu"	0.0788057
"Julian Bond"	0.0777671
"Jack Welch"	0.0775899
"Hugh Shelton"	0.0774838
"Chea Sim"	0.0769193
"Jack Gargan"	0.0765011
"National Security Adviser Sandy Berger"	0.07644
Kiriyenko	0.0762909
"Jim Leach"	0.0761512
"Dan Burton"	0.0756006
"Richard Holbrooke"	0.075265
Chernomyrdin	0.0751718
"Than Shwe"	0.0750515
"Bulent Ecevit"	0.0749851
R-Del.	0.0744852
"Rolf Ekeus"	0.0744398
"Bill Gates"	0.0741933
Hyde	0.0741683
Lott	0.0740869
"finance minister"	0.0738606
"Charles Dolan"	0.0736095
Levitt	0.073417
"Jesse Helms"	0.0727866
"Oskar Lafontaine"	0.0727384
Cohen	0.0718166
"Yevgeny Primakov"	0.0716984
"Amien Rais"	0.071171
Fed	0.0711435
R-Alaska	0.0710815
"Yegor Stroyev"	0.0701686
"Megawati Soekarnoputri"	0.0700073
"Federal Reserve"	0.0695598
"Boutros Boutros-Ghali"	0.0693992
"Robert Aventajado"	0.0692679
"Mesut Yilmaz"	0.0688969
"Kiichi Miyazawa"	0.0687229
"Christopher Cox"	0.0686411
"Marzuki Darusman"	0.0684248
R-Ill.	0.0683919
Rafsanjani	0.0680439
Misuari	0.0677807
Chiluba	0.0675125
"Orrin Hatch"	0.0674693
"Martin Lee"	0.0673331
Maslyukov	0.0669439
"John Boehner"	0.0668161
Camdessus	0.0667056
Summers	0.0665765
"Desmond Tutu"	0.0665599
"Jerry Reinsdorf"	0.0661819
"Benjamin Gilman"	0.06595
Mbeki	0.0657117
Lieberman	0.0654914
"Li Peng"	0.0654558
Babbitt	0.0652413
R-Utah	0.065212
R-Va.	0.0652057
"Lamar Smith"	0.0649604
"Hans Blix"	0.064947
"secretary of state"	0.0643679
R-N.M.	0.0642207
Pataki	0.0640957
Mugabe	0.0640322
Gates	0.0640029
"George Mitchell"	0.0638837
"Wang Daohan"	0.0638084
Moi	0.0637613
"James Sensenbrenner"	0.0636969
Helms	0.0636279
Trimble	0.0635629
"Sergei Kiriyenko"	0.0635187
"Barry Diller"	0.0635046
Safir	0.0634158
"Pete Domenici"	0.0633564
"Jonas Savimbi"	0.0630002
Arafat	0.0629629
Berger	0.0629061
Abubakar	0.0628788
"Wolfgang Schaeuble"	0.062557
Habibie	0.0624405
Primakov	0.0623015
"Steve Case"	0.0621927
Iger	0.0619373
"Li Ruihuan"	0.0617998
Robertson	0.0616259
"Benjamin Netanyahu"	0.0615653
"Cyril Ramaphosa"	0.0612885
Schmalensee	0.0612696
McConnell	0.0611202
Samaranch	0.0610336
"Martin Frost"	0.0609513
"Dan Miller"	0.0607386
"J.C. Watts"	0.0606787
"Defense William Cohen"	0.060291
Stepashin	0.0601935
"Yossi Sarid"	0.0600756
"Chief Executive Tung Chee-hwa"	0.0600216
Sergeyev	0.059599
"Tom Davis"	0.0595583
"Congressional Republicans"	0.0595096
policy-makers	0.0594793
"Pandeli Majko"	0.0594677
"David Dreier"	0.0592433
"Phil Gramm"	0.0592326
"Sergei Stepashin"	0.0591702
"Alija Izetbegovic"	0.0591661
Fischer	0.0590665
"Mel Karmazin"	0.0590605
"Michael Dell"	0.0589724
R-Wis.	0.0587374
"Robert E. Rubin"	0.0586703
"Ariel Sharon"	0.0586088
Eisner	0.0585191
Albright	0.0583522
Peres	0.0580828
Alatas	0.0580658
"King Sihanouk"	0.0578686
"Janet Reno"	0.057865
Khatami	0.0578553
Rosen	0.0576999
"Illinois Republican"	0.0575948
Wolfson	0.0575866
CEC	0.0574434
Ecevit	0.0574396
Demirel	0.0573782
"council member"	0.0573504
Holbrooke	0.0573037
"Bruce Babbitt"	0.0572836
Annan	0.0570798
"Tommy Thompson"	0.0570641
Kasyanov	0.0570379
Yilmaz	0.0567801
Klein	0.0564508
"Edgar Bronfman Jr."	0.0564364
Hastert	0.056397
Tung	0.0563318
Ghali	0.056264
Ebbers	0.0562102
Schroeder	0.0561396
regulator	0.0560958
"Binyamin Netanyahu"	0.0560567
R-N.C.	0.0560409
"Ted Stevens"	0.0560264
"John Warner"	0.0559952
Khamenei	0.0559908
Chancellor	0.055906
"Rupert Murdoch"	0.0559041
Cellucci	0.0557764
Wahid	0.0557487
Rodionov	0.0557041
"Dan Meridor"	0.055683
"Michel Camdessus"	0.0555746
R-Ind.	0.0555663
Chirac	0.0554868
economist	0.0554452
"Ehud Barak"	0.0553556
Maldini	0.0553073
Erbakan	0.0552687
"Jiang Zemin"	0.055223
"Qiao Shi"	0.0552132
"Frederick Sumaye"	0.0551928
"Necmettin Erbakan"	0.0551133
Eizenstat	0.0549758
))
("Alan Henderson" (desc 2719.2) (sims
"Grant Long"	0.343887
"Chris Crawford"	0.279738
"LaPhonso Ellis"	0.229565
"Mookie Blaylock"	0.225439
"Ed Gray"	0.213408
"Corliss Williamson"	0.194851
"Cedric Ceballos"	0.190049
"Dikembe Mutombo"	0.185027
"Clarence Weatherspoon"	0.180138
"Jarvis Turner"	0.180137
"Steve Smith"	0.178995
"Isaiah Rider"	0.173369
"Maurice Taylor"	0.168005
"Derrick Coleman"	0.165496
"Rodney Rogers"	0.161683
"Jamal Mashburn"	0.158242
"Bobby Phills"	0.158128
"Joe Smith"	0.156741
"Juwan Howard"	0.152994
"Anthony Johnson"	0.152384
"Lamond Murray"	0.152228
"Gabe Muoneke"	0.150068
"Michael Wright"	0.148422
"Jim Jackson"	0.14699
"Chris Gatling"	0.14559
"Brian Grant"	0.144109
"Theo Ratliff"	0.143934
"Gary Trent"	0.142991
"Sam Clancy"	0.14266
"Lorenzen Wright"	0.139955
"Rasheed Wallace"	0.138343
"Mark Madsen"	0.136447
"Christian Laettner"	0.136432
"Tom Gugliotta"	0.136233
"Walt Williams"	0.134473
"P.J Brown"	0.133989
"Michael Finley"	0.132885
"Detlef Schrempf"	0.131411
"Donyell Marshall"	0.130741
"Jermaine O'Neal"	0.130123
"Austin Croshere"	0.127377
"Raef LaFrentz"	0.12677
"Kenyon Martin"	0.1253
"Tamika Catchings"	0.125253
"Kurt Thomas"	0.12492
"Tyrone Nesby"	0.124702
"Brian Scalabrine"	0.123983
"Kevin Freeman"	0.123039
"Dale Davis"	0.122474
"Arvydas Sabonis"	0.122208
"Antawn Jamison"	0.121719
"Samaki Walker"	0.121167
"Chris Webber"	0.121087
"J.R Reid"	0.120771
"Chris Porter"	0.119768
"Doug Gilmour"	0.119766
"Ante Razov"	0.119617
"Vin Baker"	0.11958
"Grant Hill"	0.119174
Mutombo	0.118516
"Shawn Kemp"	0.11834
"Bill Guerin"	0.118278
"Alexei Kovalev"	0.117939
"Kris Clack"	0.117881
"Antonio McDyess"	0.117519
"Jalen Rose"	0.117179
"Charles Oakley"	0.117146
"Danny Fortson"	0.117137
"Richard Jefferson"	0.11688
"Othella Harrington"	0.116804
"Keith Van Horn"	0.115928
"Travis Knight"	0.115809
"Jeff Friesen"	0.114538
"Clifford Robinson"	0.112292
"Robert Horry"	0.111413
"Etan Thomas"	0.109917
"Hu Weidong"	0.109887
"Kendall Gill"	0.109593
"Antonio Davis"	0.108346
"Brian McBride"	0.108235
"SCOTT BURRELL"	0.107828
"Rick Fox"	0.10782
"Mitch Richmond"	0.107039
"Jason Terry"	0.10683
"Doug Pederson"	0.106785
"Sun Wen"	0.106541
"Mike Sullivan"	0.10644
"Stern John"	0.106429
"Mark Bryant"	0.106289
"Tim Thomas"	0.105558
"Glenn Robinson"	0.105314
"Brian Skinner"	0.104327
"Ronnie Bradford"	0.104076
"Shawn Marion"	0.10386
"Dallas Drake"	0.10384
"Ruben Patterson"	0.103763
"Aaron Williams"	0.103634
"Shane Battier"	0.101894
"Theo Fleury"	0.101798
"George McCloud"	0.101045
"Morris Peterson"	0.100625
"John Wallace"	0.100606
"Chris Carrawell"	0.100562
"Anthony Mason"	0.100435
"Jerome Moiso"	0.100288
"Bobby Newcombe"	0.0997616
"Kevin Willis"	0.0987427
"Eric Snow"	0.0987387
"Ziggy Palffy"	0.0983282
"Jason Allison"	0.0979029
"Sherman Douglas"	0.0970381
"Darrick Martin"	0.0969725
"Rick Tocchet"	0.0962587
"Alen Boksic"	0.0958622
"Glen Rice"	0.0953345
"Wendel Clark"	0.0948947
"Rashard Lewis"	0.094709
"Kenny Thomas"	0.0943608
"Mike Miller"	0.0941203
"Chris Mills"	0.0941096
"Scot Pollard"	0.0927824
"Marcus Fizer"	0.0924511
"Ray Allen"	0.0918828
"Trent Green"	0.0915358
"Shandon Anderson"	0.0911325
"Jerome Kersey"	0.0911314
"Brendan Shanahan"	0.0910787
"Billy Owens"	0.0907133
"Malik Rose"	0.0904853
"Joe Sakic"	0.089519
"Peter Forsberg"	0.0894169
"Sean Farnham"	0.0888212
"Jerry Stackhouse"	0.0888019
"Matt Bullard"	0.0879237
"Travis Hall"	0.0877023
"Shannon MacMillan"	0.0877022
"Tim Duncan"	0.0871457
"Raul Gonzalez"	0.0867228
"Pavol Demitra"	0.0862998
"Tracy McGrady"	0.0856355
"Larry Johnson"	0.0852486
"JaRon Rush"	0.0850453
"Sean Elliott"	0.0849234
"Wayne Turner"	0.0846864
"Doug Christie"	0.0834567
"Otis Thorpe"	0.0833598
"Todd Husak"	0.0833106
"Bryan Berard"	0.0831508
"Anson Carter"	0.0830334
"Rik Smits"	0.0830076
"Geoff Sanderson"	0.0827522
"Jamie Langenbrunner"	0.082734
"Raul Diaz Arce"	0.0825663
"CORIE BLOUNT"	0.0825434
"Jeremy Roenick"	0.0824325
"Olden Polynice"	0.0821398
"Nick Anderson"	0.0819518
"Tim Hardaway"	0.081945
"Shane Doan"	0.0818299
"Milan Hejduk"	0.081809
"Predrag Mijatovic"	0.0815369
"Patrik Elias"	0.0815004
"Bryon Russell"	0.0812941
"Luc Robitaille"	0.081239
"Hao Haidong"	0.0809351
"Terrell Brandon"	0.0809118
"Khodadad Azizi"	0.0806879
"Jumaine Jones"	0.0806103
"Ron Mercer"	0.0805885
"Doug Weight"	0.0805399
"Matt Geiger"	0.0804003
"Bob Corkum"	0.0803135
"Jason Kapono"	0.0802075
"Joe Murphy"	0.0800089
"Matt Harpring"	0.0798761
"DeLisha Milton"	0.0797909
"Paul Pierce"	0.0796202
"Shareef Abdur-Rahim"	0.0795703
"Joe Thornton"	0.0795401
"Michael Smith"	0.0793934
"Brandon Granville"	0.0791843
"Antoine Walker"	0.0791227
"Blake Sloan"	0.0789527
"Richard Hamilton"	0.0789522
"Alessandro Del Piero"	0.0787256
"Everett McIver"	0.0786564
"Dennis Scott"	0.0786289
"Kevin Garnett"	0.0784803
"Horace Grant"	0.0783421
"Pierre Turgeon"	0.0783059
"A.C. Green"	0.0782611
"Sheryl Swoopes"	0.078231
"Danny Manning"	0.0779064
"Jeff Blake"	0.077891
"Vlade Divac"	0.077754
"Valeri Kamensky"	0.0775459
"Damon Stoudamire"	0.0774406
"Pat Garrity"	0.0773524
"Jack McDowell"	0.0772482
"Greg Anthony"	0.0770917
))
("Alan Jackson" (desc 2279.96) (sims
"Faith Hill"	0.294457
"Vince Gill"	0.281627
"Trisha Yearwood"	0.252768
"George Strait"	0.246241
"Clint Black"	0.242537
"Garth Brooks"	0.239856
"Jo Dee Messina"	0.234547
"Shania Twain"	0.233544
"Reba McEntire"	0.232223
"Tim McGraw"	0.231019
"Dwight Yoakam"	0.202534
"LeAnn Rimes"	0.202332
"Dixie Chicks"	0.182663
"Merle Haggard"	0.17568
"George Jones"	0.150557
"Kirk Franklin"	0.141225
Wynonna	0.139091
"Martina McBride"	0.127697
"Emmylou Harris"	0.124233
"Dolly Parton"	0.124084
"GLORIA ESTEFAN"	0.123421
McGraw	0.118836
"Whitney Houston"	0.118492
"Loretta Lynn"	0.11608
"Celine Dion"	0.115927
"Melissa Etheridge"	0.105727
"Mariah Carey"	0.100635
"Janet Jackson"	0.0865868
"Stevie Wonder"	0.081496
"Elton John"	0.0795493
"Waylon Jennings"	0.0785359
"David Byrne"	0.0775918
"Jessye Norman"	0.0773343
"Sheryl Crow"	0.0745069
"Billy Joel"	0.0739107
"Luciano Pavarotti"	0.0733276
"Marc Anthony"	0.072612
"Puff Daddy"	0.0719975
"Lou Reed"	0.0703831
"Tina Turner"	0.0699892
"Lyle Lovett"	0.0694007
"John Mellencamp"	0.0657358
Hootie	0.065023
"Tammy Wynette"	0.0643246
"Toni Braxton"	0.0637254
"Herbie Hancock"	0.0633989
"R. Kelly"	0.0627387
"Sarah McLachlan"	0.0624398
"Willie Nelson"	0.061461
"Christina Aguilera"	0.0606165
Garth	0.0597957
"Andrea Bocelli"	0.0590693
"Don Henley"	0.0588709
Dunn	0.0581144
Billie	0.0578606
"Lucinda Williams"	0.0577245
"George Michael"	0.057649
"Ricky Martin"	0.0555514
"Tori Amos"	0.0554175
"Paul Simon"	0.0538246
"Lenny Kravitz"	0.0534458
"Dave Matthews"	0.0531206
Selena	0.0514343
"N Sync"	0.0500795
"Johnny Cash"	0.0500106
"Carly Simon"	0.0492655
"Macy Gray"	0.0489652
Twain	0.0488147
"Mary J. Blige"	0.047662
"Patsy Cline"	0.0475945
"Placido Domingo"	0.0471451
"Diana Krall"	0.0461881
"Britney Spears"	0.0459151
"Lauryn Hill"	0.045168
"Randy Newman"	0.0450065
"Aretha Franklin"	0.0442043
Bjork	0.043696
"Ruben Blades"	0.0420178
"Tony Bennett"	0.0419731
"Marvin Gaye"	0.0414263
"Vanessa Williams"	0.0413102
"Enrique Iglesias"	0.0407505
"Chris Gaines"	0.0404359
))
("Alan Keyes" (desc 9956.4) (sims
"Gary Bauer"	0.363994
"Patrick Buchanan"	0.289317
"Lamar Alexander"	0.288484
"Steve Forbes"	0.281638
"Elizabeth Dole"	0.270575
Keyes	0.261653
"Pat Buchanan"	0.259698
"Dan Quayle"	0.227837
"Orrin Hatch"	0.225576
"John Kasich"	0.203804
"Bob Smith"	0.190529
"John McCain"	0.17896
Bauer	0.178867
"Patrick J. Buchanan"	0.162244
Quayle	0.156711
"Bill Bradley"	0.154358
Forbes	0.140216
"Ralph Nader"	0.137565
"Ross Perot"	0.136763
"Rush Limbaugh"	0.132608
"Vicente Fox Quesada"	0.130135
DOLE	0.129383
"Cuauhtemoc Cardenas"	0.128259
"Jack Kemp"	0.126515
"John Ashcroft"	0.124898
"Alejandro Toledo"	0.123696
"John Hagelin"	0.123645
Buchanan	0.123395
"Lowell Weicker"	0.121654
"Dick Cheney"	0.120254
"Bob Dole"	0.119897
"Democrat Bill Bradley"	0.118255
"George W. Bush"	0.116096
"Phil Gramm"	0.115352
"Guy Millner"	0.113968
"Matt Fong"	0.111998
"Francisco Labastida"	0.108197
"Dan Lungren"	0.108073
"Francisco Labastida Ochoa"	0.108065
"George Bush"	0.107972
"Jon Corzine"	0.105998
McCain	0.105973
"Pat Robertson"	0.104108
"Vicente Fox"	0.101355
"James Dobson"	0.0995459
"Geraldine Ferraro"	0.0983599
"Al Gore"	0.097964
Alexander	0.0973324
"Bob Franks"	0.0967175
hatch	0.096441
"Tom Campbell"	0.0958699
"Rick Lazio"	0.094607
Nader	0.0943872
"Colin Powell"	0.0937682
"Laura Schlessinger"	0.093364
"Gary Hart"	0.0931619
"Donald Trump"	0.0923747
Kasich	0.0911793
R-Ariz.	0.0901745
Bradley	0.0883592
"Republican George W. Bush"	0.0870443
"Rolf Ekeus"	0.0864499
"William Bennett"	0.0853719
"Garry Mauro"	0.085285
"James Soong"	0.0852073
"George Will"	0.0848906
"Arlen Specter"	0.0842207
"Robert Smith"	0.083925
Feingold	0.0834691
"Arianna Huffington"	0.0813457
"Arizona Republican"	0.0810728
"Barry Goldwater"	0.081071
"Michael Dukakis"	0.0809578
"Vojislav Kostunica"	0.0807689
Perot	0.0796731
"Democrat Al Gore"	0.0788617
"Jesse Ventura"	0.07819
"Gennady Zyuganov"	0.0780831
"Christopher Hill"	0.0778116
"Peter Vallone"	0.0773271
"Betsy McCaughey Ross"	0.0759202
"Linda Smith"	0.0752482
"Don Imus"	0.0750263
"Mary Matalin"	0.0749479
"Rick Perry"	0.0747253
R-Utah	0.0745604
"Mitch McConnell"	0.0742731
Leahy	0.0739283
"George W."	0.0733322
"Hillary Rodham Clinton"	0.0731379
"Yitzhak Mordechai"	0.0722983
"Joseph Lieberman"	0.0721793
"Grigory Yavlinsky"	0.0720227
contender	0.0714463
"Gerhard Schroeder"	0.0709734
"William Walker"	0.0705955
"Scott Harshbarger"	0.0705611
hopefuls	0.0704101
Katsav	0.0703375
"Richard C. Holbrooke"	0.0698664
"Buddy MacKay"	0.0695785
Cardenas	0.0690523
Labastida	0.0680358
Zyuganov	0.0679151
"William Kristol"	0.0679145
"Phil Donahue"	0.0678688
Lungren	0.0671705
Kerrey	0.0671012
"Clint Reilly"	0.0667995
"George McGovern"	0.0665939
officeholder	0.066371
aspirant	0.0662216
"Hillary Clinton"	0.0652009
"John Cornyn"	0.0651725
"Joe Lieberman"	0.0651095
"Condoleezza Rice"	0.0650815
Supachai	0.0648772
Dobson	0.0646299
"John Engler"	0.0643953
Shui-bian	0.0643319
Koch-Weser	0.0640651
R-N.H.	0.0637903
"Oliver North"	0.0637186
"Eisuke Sakakibara"	0.0636072
"Jesse Jackson"	0.0631354
"Judd Gregg"	0.0629518
"Charles Schumer"	0.0627262
"Gray Davis"	0.062372
"Jeb Bush"	0.0618734
"Pete Wilson"	0.0617765
"Olympia Snowe"	0.0614537
"Bob Costas"	0.0612844
front-runner	0.0606573
"Strom Thurmond"	0.0605896
"David Beasley"	0.0603417
"Bill Maher"	0.0603316
"Chuck Hagel"	0.0602983
"Fred Thompson"	0.0602398
Giuliani	0.0599931
Lazio	0.0598673
"Andrew Young"	0.059839
"Dan Coats"	0.0593297
"Olusegun Obasanjo"	0.0593189
Inhofe	0.0591365
"Richard Holbrooke"	0.0588574
Gramm	0.0587988
"running mate"	0.0586563
Hagelin	0.0585694
"Robert Bennett"	0.0585479
"Walter Mondale"	0.0583949
Congressman	0.0580937
Pickering	0.0579809
Ashcroft	0.0575069
Cornyn	0.0573454
commentator	0.0573222
"Howard Stern"	0.0571875
Kostunica	0.0566906
"Jim Florio"	0.0564142
"Paul Tsongas"	0.0563526
"Megawati Sukarnoputri"	0.0562651
Mauro	0.0562241
"Faisal Husseini"	0.0558637
Harshbarger	0.0555409
"Rosie O'Donnell"	0.0554398
"Newt Gingrich"	0.0552858
"Larry King"	0.055076
"Henry Hyde"	0.0550617
Lieberman	0.0550344
"Norman Schwarzkopf"	0.0547652
Cheney	0.0546529
Vallone	0.0544981
Koehler	0.0544871
"Wolfgang Petritsch"	0.0544767
"John Danforth"	0.0544461
"Rudolph Giuliani"	0.0542877
"George Stephanopoulos"	0.0541916
trump	0.0541053
"Tom Ridge"	0.054021
Blatter	0.0539281
Sezer	0.0538249
"Jon Kyl"	0.0537994
"Kathie Lee Gifford"	0.0532428
"Shimon Peres"	0.053163
"Geraldo Rivera"	0.0530696
"Illinois Republican"	0.0530575
Lavin	0.0527523
"John Connally"	0.0526774
"Mitt Romney"	0.0525333
"magazine publisher"	0.0524985
"Joseph I. Lieberman"	0.052432
Madrazo	0.0523209
Ouattara	0.0522769
"Jim Kolbe"	0.052276
"George Pataki"	0.0521878
Luzhkov	0.0521678
"Ronald Reagan"	0.0520981
McCall	0.0520977
"Joan Rivers"	0.0518228
Bishara	0.0517906
Yavlinsky	0.0517771
))
("Alan Mills" (desc 4394.31) (sims
"Terry Adams"	0.333727
"Matt Herges"	0.29838
"Antonio Osuna"	0.291686
"Mike Fetters"	0.28209
"Gregg Olson"	0.268439
"Jeff Shaw"	0.249015
"Russ Springer"	0.240735
"Armando Benitez"	0.2178
"Paul Shuey"	0.216429
"Pat Mahomes"	0.211166
"Onan Masaoka"	0.204157
"Jamie Arnold"	0.201925
"Scott Radinsky"	0.199992
"Matt Mantei"	0.199124
"Dave Mlicki"	0.195894
"Tim Crabtree"	0.194734
"Pedro Borbon"	0.193255
"Turk Wendell"	0.191998
"Scott Sullivan"	0.190252
"DOUG JONES"	0.18768
"Dennis Cook"	0.18761
"Jose Mesa"	0.187204
"Jeff Brantley"	0.185559
"Robinson Checo"	0.182218
"Mark Petkovsek"	0.181845
"Rick Aguilera"	0.175014
"Darren Holmes"	0.174002
"Darren Dreifort"	0.172761
"Danny Graves"	0.169455
"Chan Ho Park"	0.168485
"Rod Beck"	0.167696
"Mike Remlinger"	0.166931
"Mike Timlin"	0.165825
"Donne Wall"	0.165318
"Rudy Seanez"	0.165123
"John Wetteland"	0.164214
"Greg McMichael"	0.163401
"Shigetoshi Hasegawa"	0.162957
"Mel Rojas"	0.162837
"Jason Christiansen"	0.160282
"Carlos Perez"	0.159281
"Pat Rapp"	0.156422
"Randy Myers"	0.155653
"Jeff Zimmerman"	0.15302
"Todd Jones"	0.150272
"Arthur Rhodes"	0.149272
"Scott Williamson"	0.149001
"Mark Leiter"	0.148461
"Jay Powell"	0.148307
"Al Levine"	0.147296
"Jesse Orosco"	0.145468
"Byung-Hyun Kim"	0.143694
"Mike Stanton"	0.14367
"Heathcliff Slocumb"	0.143474
"Willie Blair"	0.143335
"Trevor Hoffman"	0.142246
"Roberto Hernandez"	0.141245
"Danny Patterson"	0.140379
"Mike Morgan"	0.139834
"Mike Holtz"	0.139699
"Doug Henry"	0.139014
"Greg Swindell"	0.136402
"Steve Parris"	0.136108
"Tom Gordon"	0.135834
"Troy Percival"	0.134672
"Ricky Bottalico"	0.134372
"Octavio Dotel"	0.13429
"Chuck McElroy"	0.132657
"Jeff Nelson"	0.132153
"Derek Lowe"	0.131689
"Alan Embree"	0.129273
"Billy Taylor"	0.128308
"John Franco"	0.128279
"Jeff Williams"	0.127775
"Jason Isringhausen"	0.12768
"Robb Nen"	0.127043
"Ismael Valdes"	0.126461
"Mike Judd"	0.125639
"John Hudek"	0.125382
"Dave Burba"	0.125218
"Billy Wagner"	0.124502
"Eric Gagne"	0.124289
"Dan Miceli"	0.123897
"Mike Magnante"	0.123819
"Mike Williams"	0.123704
"Kerry Ligtenberg"	0.123204
"Rich Garces"	0.122548
"Mac Suzuki"	0.120574
"Brian Bohanon"	0.120142
"Jason Schmidt"	0.119844
"Rheal Cormier"	0.118738
"Bob Wickman"	0.117317
"Dustin Hermanson"	0.117314
"Bryce Florie"	0.117231
"Ramiro Mendoza"	0.116105
"Rich Rodriguez"	0.115852
"Orel Hershiser"	0.11579
"Javier Vazquez"	0.114477
"Mark Grudzielanek"	0.113053
"Rick White"	0.112329
"Kazuhiro Sasaki"	0.1108
"John Wasdin"	0.110382
Petkovsek	0.110302
"Woody Williams"	0.10932
"Brett Tomko"	0.10923
"Francisco Cordero"	0.108878
"Jose Paniagua"	0.10867
"Mark Guthrie"	0.107152
"Sidney Ponson"	0.106678
"John Burkett"	0.106086
"Tim Wakefield"	0.106051
"John Rocker"	0.10548
"Armando Reynoso"	0.10527
"STEVE WOODARD"	0.105074
"Mariano Rivera"	0.104622
"Omar Daal"	0.104216
"Ramon Martinez"	0.103297
"Andy Benes"	0.102177
"Terry Mulholland"	0.102107
"Juan Guzman"	0.0986195
"Jon Lieber"	0.0981649
"Ron Villone"	0.0976189
"Jim Corsi"	0.0969976
"Kevin Brown"	0.0965368
Osuna	0.0955202
"Mark Wohlers"	0.0953621
"Carl Pavano"	0.0949122
"Ugueth Urbina"	0.0945622
"Mike Venafro"	0.0941966
"Dwight Gooden"	0.0941412
"Jaret Wright"	0.0937608
"Kent Bottenfield"	0.0933409
"Paul Spoljaric"	0.0932504
"Sean Bergman"	0.0932373
"Todd Stottlemyre"	0.0924585
"Graeme Lloyd"	0.0920587
"Eric Karros"	0.0916094
"Al Leiter"	0.0911231
"Joey Hamilton"	0.0910539
"Kevin Elster"	0.0898826
"Paul Abbott"	0.0896973
"Jason Bere"	0.0895982
"Scott Karl"	0.0894511
Candiotti	0.0892427
Mahomes	0.0891381
"Scott Erickson"	0.0888348
"Masato Yoshii"	0.0887366
"Tom Candiotti"	0.088725
"Todd Hundley"	0.0884836
"Wilton Guerrero"	0.0883916
"Scott Elarton"	0.0883558
"Jose Lima"	0.0879772
"Frankie Rodriguez"	0.0876627
"Hideo Nomo"	0.0876476
"Charles Nagy"	0.0872804
"Chris Carpenter"	0.08688
"Kevin Tapani"	0.0866821
"Dennis Martinez"	0.0861052
Dempster	0.086056
"Andy Ashby"	0.085794
Mantei	0.0855043
"Rick Helling"	0.0852074
"Mark Clark"	0.0851959
"Shane Reynolds"	0.0851918
"Pat Hentgen"	0.0849938
"Adrian Beltre"	0.0849764
"Kirk Rueter"	0.0846176
"Kevin Millwood"	0.0837933
"Steve Trachsel"	0.0837583
"Jason Grimsley"	0.0837055
"Brian Moehler"	0.0834519
"Chris Holt"	0.0832452
Checo	0.0831174
"Brian Anderson"	0.0826628
"Mark Portugal"	0.0824859
"Jose Vizcaino"	0.0823841
"Omar Olivares"	0.0823548
"Jeff Fassero"	0.0820331
"Brett Hinchliffe"	0.0817036
"Pete Schourek"	0.0816366
"Gary Sheffield"	0.0814265
"Vladimir Nunez"	0.0811464
"Matt Morris"	0.0810841
"Ramon Ortiz"	0.0809495
"Gil Heredia"	0.0804724
"Eric Young"	0.0804587
Benitez	0.0794337
"Tim Belcher"	0.0787397
"Russ Ortiz"	0.0786102
"Mark Gardner"	0.0785832
"Esteban Loaiza"	0.0784252
"Brian Rose"	0.0782013
"Kevin McGlinchy"	0.0781681
Wendell	0.0780046
"Doug Davis"	0.0772767
"Ken Cloude"	0.0771069
Rueter	0.0770762
"Jesus Sanchez"	0.076754
"Kevin Appier"	0.0766064
fetter	0.0765107
))
("Alan Shearer" (desc 5810.63) (sims
"Teddy Sheringham"	0.260626
"Dwight Yorke"	0.25191
"Andy Cole"	0.238815
"Paul Scholes"	0.226252
"Ole Gunnar Solskjaer"	0.213954
"David Beckham"	0.201154
"Robbie Fowler"	0.197643
"Ian Wright"	0.195954
"Roy Keane"	0.193483
"Darren Anderton"	0.186804
"Michael Owen"	0.182735
"Tony Adams"	0.181638
"Ryan Giggs"	0.179594
"Gary Neville"	0.175446
"Harry Kewell"	0.171696
"Dennis Bergkamp"	0.167303
"Juergen Klinsmann"	0.152172
"Paul Ince"	0.151884
"Steve McManaman"	0.151655
"Stan Collymore"	0.147378
"Sun Wen"	0.141685
"Davor Suker"	0.141509
"Sol Campbell"	0.141299
"Hao Haidong"	0.140883
"Eric Cantona"	0.136547
"Hansie Cronje"	0.133691
"Roberto Baggio"	0.132313
"Christian Vieri"	0.128662
"George Weah"	0.12634
"Hernan Crespo"	0.125916
"Alessandro Del Piero"	0.125103
"Oliver Bierhoff"	0.124174
"Fan Zhiyi"	0.124058
"Paolo Di Canio"	0.123978
"Predrag Mijatovic"	0.122946
"Faustino Asprilla"	0.121396
Bebeto	0.120633
"Paul Gascoigne"	0.119893
"Marcelo Salas"	0.119331
"Thierry Henry"	0.117133
Romario	0.116011
"Claudio Lopez"	0.114919
"Hristo Stoichkov"	0.114332
"Adrian Ilie"	0.113893
"Raul Gonzalez"	0.113267
Rivaldo	0.11195
"Youri Djorkaeff"	0.111729
Edmundo	0.111447
"Luis Hernandez"	0.110835
Shearer	0.109722
"David Seaman"	0.109358
"Fabrizio Ravanelli"	0.108948
"Tore Andre Flo"	0.108333
"Gabriel Batistuta"	0.107127
"Nicolas Anelka"	0.105996
"Filippo Inzaghi"	0.105618
"Ali Daei"	0.105598
"Alec Stewart"	0.105342
"Khodadad Azizi"	0.104639
"Patrick Kluivert"	0.104337
"Zinedine Zidane"	0.103204
"Brian McBride"	0.102789
Batistuta	0.102582
"Paolo Maldini"	0.101771
"Emmanuel Petit"	0.101686
"Roy Lassiter"	0.101155
"Alen Boksic"	0.101055
"Ivan Zamorano"	0.0999261
"Hidetoshi Nakata"	0.0993896
"Zvonimir Boban"	0.0983639
"Ante Razov"	0.0976757
"Paul Merson"	0.0975739
"Eric Wynalda"	0.0953717
"Stern John"	0.0945276
"Gheorghe Hagi"	0.093406
"Ruud Gullit"	0.0923584
"Hu Weidong"	0.0912459
Yorke	0.0904855
"Dejan Savicevic"	0.0902093
"Brian Laudrup"	0.0899891
"Gianfranco Zola"	0.089207
"Julie Foudy"	0.088966
"Dejan Stankovic"	0.0888459
"Christophe Dugarry"	0.0872946
"Keith Tkachuk"	0.0866453
"Raul Diaz Arce"	0.0857814
"David Trezeguet"	0.0847243
"Ulf Kirsten"	0.0845389
"Frank de Boer"	0.0844725
"Cesar Sampaio"	0.0843163
"Steve Yzerman"	0.0831263
"Mark Taylor"	0.0830301
"Ariel Ortega"	0.0828587
"Mark James"	0.0827556
"Derian Hatcher"	0.0821034
"Owen Nolan"	0.0805612
Juninho	0.0793113
Baggio	0.079229
"Wang Tao"	0.0790984
"Carlos Hermosillo"	0.0775941
"Mark Messier"	0.0774453
"Mario Stanic"	0.0770494
"Nwankwo Kanu"	0.0767551
"Lothar Matthaeus"	0.0763773
"Gianluca Vialli"	0.076226
Ronaldo	0.0761575
"Kenyon Martin"	0.0759817
"Joe Sakic"	0.0751081
"Cindy Parlow"	0.0750308
Denilson	0.0749019
"Cobi Jones"	0.0748999
"Michelle Akers"	0.0744293
"Gabe Muoneke"	0.074348
"Carla Overbeck"	0.0736194
"Bobby Charlton"	0.0735334
"Phillip Cocu"	0.0734111
"Didier Deschamps"	0.0730174
"Mike Atherton"	0.0727936
Suker	0.0726135
"Marc Overmars"	0.0721144
Beckham	0.0719574
"Jaromir Jagr"	0.0719408
"Enrico Chiesa"	0.071815
"Ziggy Palffy"	0.071791
"Ray Bourque"	0.071778
"Eric Lindros"	0.0714821
"Marcel Desailly"	0.0709045
"John Harkes"	0.0707042
"Brian Leetch"	0.0700026
"Patrick Vieira"	0.0693498
"Pierluigi Casiraghi"	0.0687089
"Chris Porter"	0.0683575
Vieri	0.0677153
Bergkamp	0.0677146
"Tamika Catchings"	0.0674633
"Robert Jarni"	0.0659439
"Jeff Friesen"	0.0655795
"Maurice Taylor"	0.0652589
Ince	0.0650565
"Ron Artest"	0.0648823
"Tiffeny Milbrett"	0.0645613
Zico	0.0642911
"Miroslav Satan"	0.0641539
"Tab Ramos"	0.0637799
"Reggie Lewis"	0.0636681
"Shareef Abdur-Rahim"	0.0636314
"Clarence Seedorf"	0.0634868
"Robert Prosinecki"	0.063424
"Sheryl Swoopes"	0.0634016
"Luc Robitaille"	0.0632692
"Mia Hamm"	0.0631791
"Richard Jefferson"	0.0629932
"Greg Adams"	0.0625799
"Mike Modano"	0.0622995
"Laurent Blanc"	0.0621104
Dunga	0.0620725
"Joe-Max Moore"	0.0618832
"Cedric Ceballos"	0.0618418
"Grant Long"	0.0614823
Salas	0.0608414
"Wasim Akram"	0.0608326
"Kevin Freeman"	0.060806
Scholes	0.0602053
"Peter Forsberg"	0.0600244
"Michael Peca"	0.0599871
"Michel Platini"	0.0599569
"Mike Keane"	0.0597514
"Peter Schmeichel"	0.0596558
"Luis Figo"	0.0596478
"Roberto Carlos"	0.0595591
"Rob Blake"	0.0595431
"Craig Ludwig"	0.0595395
"Xia Xuanze"	0.0590339
Welton	0.0582214
"Donyell Marshall"	0.0582015
"Mats Sundin"	0.057722
"Ronald de Boer"	0.0572617
"Mike Burns"	0.0572155
"Thomas Dooley"	0.0571889
"Jarvis Turner"	0.0566068
"Michael Finley"	0.0566042
Zidane	0.0564975
"Steve Waugh"	0.0564268
"John LeClair"	0.0563179
"Shannon MacMillan"	0.0563081
Alfonso	0.0562421
"Rick Tocchet"	0.0562037
"Johan Cruyff"	0.0561919
"Rodney Rogers"	0.0561462
"Jumaine Jones"	0.0558259
"Raef LaFrentz"	0.0557335
"Juwan Howard"	0.0556853
"Mark Williams"	0.055545
"Keith Van Horn"	0.0554652
"Alexei Kovalev"	0.0554379
"Kristine Lilly"	0.0550891
"Jeremy Roenick"	0.054999
Leetch	0.0549448
"Carl Hooper"	0.0543297
"Teemu Selanne"	0.0540889
))
("Alanis Morissette" (desc 4097.86) (sims
"Sheryl Crow"	0.206319
"Dave Matthews Band"	0.153233
"George Michael"	0.150866
"Eric Clapton"	0.149309
"Whitney Houston"	0.147558
"Limp Bizkit"	0.14743
"David Bowie"	0.142011
"Celine Dion"	0.141216
"Janet Jackson"	0.140722
"Lauryn Hill"	0.138286
"Melissa Etheridge"	0.136611
"Patti Smith"	0.136014
"John Mellencamp"	0.133392
"Bonnie Raitt"	0.131766
U@	0.130927
Korn	0.130186
"Dave Matthews"	0.127354
"Erykah Badu"	0.124172
"Mariah Carey"	0.123644
"Chrissie Hynde"	0.122007
"Mary J. Blige"	0.121702
"Sarah McLachlan"	0.120721
"Lenny Kravitz"	0.118533
"Tracy Chapman"	0.118413
Madonna	0.114836
"Garth Brooks"	0.114685
"Phil Collins"	0.113624
Bjork	0.113499
"Puff Daddy"	0.111839
"Britney Spears"	0.108775
Dre	0.105545
"Shania Twain"	0.104905
Bono	0.103257
Aerosmith	0.102071
"Andrea Bocelli"	0.101071
sting	0.100959
"Elvis Costello"	0.0995127
"Willie Nelson"	0.0971804
"Elton John"	0.0965558
"Ricky Martin"	0.0963827
R.E.M	0.0961642
Metallica	0.0944488
"Christina Aguilera"	0.0943489
"James Taylor"	0.0940791
"GLORIA ESTEFAN"	0.09296
"Dixie Chicks"	0.0929412
"Marilyn Manson"	0.0923644
REM	0.0918348
"Don Henley"	0.0917824
"Wyclef Jean"	0.0907522
"Billy Joel"	0.0889711
"Peter Gabriel"	0.0871259
"Kid Rock"	0.0866371
"Toni Braxton"	0.0849028
Eminem	0.0848847
D'Angelo	0.0822604
"Bruce Springsteen"	0.0811429
"B.B King"	0.0810351
"Beastie Boys"	0.0808616
"Backstreet Boys"	0.0802833
"Macy Gray"	0.0798883
Cher	0.0783998
"Van Morrison"	0.0777796
"Lou Reed"	0.0769296
"Bob Marley"	0.0768588
"Sugar Ray"	0.0765304
"Pearl Jam"	0.0757468
"Jimmy Page"	0.0755293
"Aretha Franklin"	0.0754546
"Tori Amos"	0.0754352
"Michael Jackson"	0.0749994
"Courtney Love"	0.0743659
"Jennifer Lopez"	0.0742199
Eurythmics	0.0735563
"Will Smith"	0.0734173
"Spice Girls"	0.0733766
"Jennifer Love Hewitt"	0.0731122
"Dolly Parton"	0.0721741
Jay-Z	0.0719788
"Rob Thomas"	0.0717597
"LeAnn Rimes"	0.0712402
"Dwight Yoakam"	0.0703489
"Stevie Wonder"	0.067827
"Michael Bolton"	0.0669204
"Kurt Cobain"	0.0667342
"Barbra Streisand"	0.0663047
jewel	0.0663031
"Mick Jagger"	0.0660375
"George Strait"	0.0658694
"Lyle Lovett"	0.0651068
"Cindy Crawford"	0.0648326
"Foxy Brown"	0.0640468
"Queen Latifah"	0.0635136
Hootie	0.0625551
"Van Halen"	0.0624851
"Emmylou Harris"	0.0622364
"Jimmy Buffett"	0.0592939
"Richard Gere"	0.0590233
"Joni Mitchell"	0.0589455
"Kirk Franklin"	0.0583476
"Dame Judi Dench"	0.0581201
"Randy Newman"	0.057701
"N Sync"	0.056952
"Angela Bassett"	0.056723
DMX	0.0563981
"Vince Gill"	0.0560294
"Lucinda Williams"	0.0558802
"Paul McCartney"	0.0558648
"Bob Dylan"	0.0558411
Morissette	0.055726
"Clint Black"	0.0557138
"Ruben Blades"	0.05546
"R. Kelly"	0.0554579
"Kevin Bacon"	0.0552995
"Steely Dan"	0.0549594
"Black Sabbath"	0.0549397
wallflower	0.0549232
"David Byrne"	0.054738
"Luciano Pavarotti"	0.054586
"Janis Joplin"	0.0544735
"Audra McDonald"	0.0542498
"Jimi Hendrix"	0.0541635
"Gwyneth Paltrow"	0.0540162
McLachlan	0.0539646
"George Harrison"	0.0536406
"Carlos Santana"	0.0535266
Beck	0.0534083
"Iggy Pop"	0.0532373
"Faith Hill"	0.0532024
"Carol Burnett"	0.0528681
"Placido Domingo"	0.0523697
"Luther Vandross"	0.0523353
"Demi Moore"	0.0522915
"David Spade"	0.0515741
"Busta Rhymes"	0.0514745
"Paul Simon"	0.0514586
"Herbie Hancock"	0.0514182
"Little Richard"	0.0513599
"Rolling Stones"	0.0513291
"James Van Der Beek"	0.0510939
"Tina Turner"	0.0507227
"Sarah Jessica Parker"	0.0505778
"Jo Dee Messina"	0.0505125
"Neil Young"	0.0503927
"Los Lobos"	0.0502846
"Tim Burton"	0.0502394
"Geoffrey Rush"	0.0501491
Pretender	0.0500034
Santana	0.049998
"Kate Winslet"	0.049951
brandy	0.0497039
"Led Zeppelin"	0.0489922
"Wynton Marsalis"	0.0485906
"Carly Simon"	0.0484173
"Tony Bennett"	0.0483969
"Pink Floyd"	0.0481883
"Merle Haggard"	0.0480403
"Jon Bon Jovi"	0.0480397
"Josephine Baker"	0.047756
"Vanessa Redgrave"	0.047585
"Diana Krall"	0.0475794
"Snoop Dogg"	0.0474067
"Garry Shandling"	0.0473341
"Sidney Poitier"	0.0471461
"James Brown"	0.0471323
Moby	0.0469699
"Shawn Colvin"	0.046964
"Diana Ross"	0.0467125
Phish	0.0466911
Springsteen	0.046566
"Chow Yun-Fat"	0.0463336
"Halle Berry"	0.0463053
blowfish	0.0459137
"Uma Thurman"	0.0455651
"Laurie Anderson"	0.0453944
"Red Hot Chili Peppers"	0.0449999
"William Shatner"	0.0447097
"Natalie Cole"	0.0446936
"Jim Carrey"	0.0446839
"Andre Braugher"	0.0444985
"Kathy Bates"	0.0442666
"Linda Ronstadt"	0.0440968
"Robert Downey Jr."	0.0439295
Lang	0.0437471
"Sela Ward"	0.0436442
"Denis Leary"	0.0434474
Hanson	0.0433766
"Mark Wahlberg"	0.0431561
"Nathan Lane"	0.0426286
"Boyz II Men"	0.0425562
Ulrich	0.0423454
"Marc Anthony"	0.0422387
"Elizabeth Taylor"	0.0422377
"meat loaf"	0.0422211
"Neve Campbell"	0.0421408
"Janet McTeer"	0.0420392
Aguilera	0.0420245
"Tim McGraw"	0.0419581
"Johnny Cash"	0.041931
"Trey Parker"	0.0419279
))
(Alarcon (desc 1180.07) (sims
Ruehe	0.239034
Ikeda	0.203168
Klima	0.198654
"Secretary General Esmat Abdul-Meguid"	0.19492
Guterres	0.187682
Abdel-Meguid	0.187629
"de Charette"	0.185945
Buzek	0.184511
Pustovoitenko	0.181323
Insulza	0.177452
Advani	0.176199
Tsang	0.174385
Ruggiero	0.174222
Stoyanov	0.172847
Surin	0.171251
Azad	0.169722
Jayakumar	0.165696
Tarawneh	0.164865
Gujral	0.16402
Kasoulides	0.163941
Verney	0.162486
Akayev	0.162446
Muluzi	0.162094
Moratinos	0.161724
Velayati	0.159476
Meguid	0.158831
Nazarbayev	0.158573
Kharrazi	0.158387
Luong	0.15796
Diouf	0.157158
Gowda	0.155325
Jovanovic	0.154388
Lipponen	0.152047
Ciampi	0.152043
Aventajado	0.151703
Papandreou	0.151585
Carollo	0.15089
Shevardnadze	0.149707
Boueiz	0.149484
Kyprianou	0.149281
Ogata	0.149025
Yastrzhembsky	0.148159
Cem	0.147879
Harmoko	0.147874
Dodik	0.147289
Nzo	0.146762
Dini	0.146724
Constantinescu	0.145506
Bruton	0.144908
Kostov	0.143051
Scalfaro	0.142997
Scharping	0.142748
Alatas	0.142157
Rifkind	0.14156
Rodionov	0.141276
Komura	0.140366
Nujoma	0.139327
"Secretary General Esmat Abdel-Meguid"	0.139045
Phieu	0.138542
Wolfson	0.138208
Troussier	0.138045
Zhirinovsky	0.137845
Gurirab	0.137718
Pangalos	0.137311
Kwasniewski	0.136974
Majali	0.136916
Bizimungu	0.136455
Chavalit	0.136362
Kono	0.136345
Chissano	0.13625
Wenger	0.135766
Zuma	0.135642
Arens	0.13501
Fernandes	0.134713
Singson	0.134263
Saleh	0.133392
Niyazov	0.133183
Meissner	0.132936
al-Sahaf	0.132786
Granic	0.132327
Maslyukov	0.132095
Ikimi	0.1313
Indyk	0.13099
Bhattarai	0.130581
Strauss-Kahn	0.13046
Shareh	0.130455
Sumaye	0.129938
Orban	0.129784
Karimov	0.129773
Menem	0.129424
Daft	0.129372
Shaath	0.129
Holl	0.128681
Aziz	0.128389
Milbury	0.128318
McConnell	0.12731
Pickering	0.126765
Waigel	0.126171
Bolger	0.126116
Kumaratunga	0.126063
Zadornov	0.126061
Bliley	0.125833
Hamdoon	0.125561
Sato	0.125177
Eizenstat	0.124811
Hayworth	0.124737
Sharansky	0.124545
Baz	0.123906
Shipley	0.123868
Mkapa	0.123679
Solana	0.123016
Samper	0.122796
Ashrawi	0.122509
Koirala	0.121645
Vollebaek	0.121488
Beazley	0.121297
Ahern	0.121229
Gosper	0.121107
Schuessel	0.121089
Stroyev	0.120893
Leghari	0.120529
"Secretary-General Boutros Boutros-Ghali"	0.120073
Ribbeck	0.119828
Ghali	0.119775
"President Lee Teng-hui"	0.119432
Bulatovic	0.118692
Juma	0.118427
Garcetti	0.118423
al-Khatib	0.118333
Hasina	0.118332
Tarrin	0.118119
Vasile	0.118109
Hiddink	0.118094
Shalala	0.118011
Demirel	0.117959
Deuba	0.117581
Hybl	0.117447
Siazon	0.117077
Santer	0.116739
Preval	0.116206
Rylander	0.115773
Kabariti	0.115675
Lew	0.11536
Muoi	0.115359
Sergeyev	0.115314
Demaci	0.115069
Arbour	0.114957
Yazdi	0.114388
"Ricardo Alarcon"	0.114377
Modise	0.114346
Cornyn	0.11426
Klestil	0.113967
Khamenei	0.113902
Kuchma	0.113844
hodgson	0.113823
Sanan	0.113741
Rashid	0.113672
Dehaene	0.113582
Banharn	0.113501
Camdessus	0.113448
Lahoud	0.113433
Schell	0.113242
Ivanov	0.112797
"Wlodzimierz Cimoszewicz"	0.112587
Bucaram	0.11242
Zeroual	0.112418
Grachev	0.112151
Aleman	0.111938
Lari	0.111918
Prueher	0.111595
Lukashenko	0.111433
Postol	0.111331
Seleznyov	0.111197
Benazir	0.111187
Aznar	0.111167
Sheehan	0.111006
Sarid	0.110946
Juppe	0.110856
Goldin	0.110452
Mandelson	0.110426
Rudman	0.110384
Vedrine	0.110371
Vajpayee	0.110298
Hamad	0.110184
"Robert Aventajado"	0.110046
Barshefsky	0.110007
Tomjanovich	0.109982
Berri	0.109852
Grasso	0.109782
al-Sahhaf	0.109705
Naumann	0.109688
Thapa	0.109567
Engelberg	0.109546
Talbott	0.109223
Wolfensohn	0.108768
Narayanan	0.108767
Sakakibara	0.10841
Zambrano	0.108349
"Abdul Karim Kabariti"	0.10834
Bondevik	0.108212
Shamshad	0.107604
Azizah	0.107338
"Russian Foreign Ministry"	0.107325
Simitis	0.107164
Lehane	0.107148
Hunsicker	0.107047
Mukora	0.10698
Moussa	0.106932
Bhutto	0.10674
Bildt	0.106716
Conte	0.106564
Kumar	0.106504
"Chief Executive Tung Chee-hwa"	0.106301
Hodler	0.10622
Iliescu	0.105807
Izetbegovic	0.105777
Cortines	0.105733
"Goran Persson"	0.105602
Fieger	0.105546
"Atal Bihari Vajpayee"	0.105516
Hauser	0.105356
LaPierre	0.105131
"Speaker Ali Akbar Nateq-Nouri"	0.104767
Brittan	0.104724
McGuinness	0.104623
Tsvangirai	0.104393
Solis	0.104385
Rongen	0.10434
Difrancesco	0.104202
Djukanovic	0.104192
Chretien	0.104111
D'Alema	0.104029
ISSEL	0.103961
Brundtland	0.103794
Khaddam	0.103679
Kinkel	0.103571
Bellamy	0.103565
Boehner	0.103557
Rais	0.103553
Masire	0.103303
Harkin	0.10324
"Prime Minister Banharn Silpa-Archa"	0.103223
Goh	0.103172
Godfrey	0.103118
Kok	0.103077
Banzer	0.103026
Reimer	0.102933
Boutros-Ghali	0.102927
Koo	0.102827
Glickman	0.102635
McMullen	0.102611
Rakhmonov	0.102418
Prodi	0.102343
Downer	0.102321
Chiluba	0.102218
Erekat	0.101995
Mori	0.101894
Rong	0.101791
Krajisnik	0.101529
Kirkpatrick	0.101509
Maldini	0.101502
Chevenement	0.101494
Berlusconi	0.101455
Zucker	0.101406
Menchu	0.101085
Wahid	0.101076
Hrawi	0.101046
Hoss	0.100745
Husseini	0.100724
Wilhelm	0.100582
Ritter	0.100347
Imelda	0.100318
Havelange	0.100294
Bronfman	0.100271
Axworthy	0.10021
Hallinan	0.100179
Inhofe	0.100101
))
(alarm (desc 36581.8) (sims
"fire alarm"	0.126583
"alarm bell"	0.125004
panic	0.120309
outrage	0.114463
anxiety	0.114415
concern	0.11202
"alarm system"	0.107549
Siren	0.105176
dismay	0.104204
anger	0.100019
apprehension	0.0997616
trepidation	0.0979128
worry	0.0931626
astonishment	0.093023
skepticism	0.0916981
detector	0.0907689
fear	0.0905481
uproar	0.0881655
confusion	0.0849886
frustration	0.084493
optimism	0.0843255
consternation	0.0841758
uncertainty	0.0835931
unease	0.0833768
outcry	0.0824064
pessimism	0.0813815
warning	0.0802532
shock	0.079317
disappointment	0.0792662
speculation	0.0788866
nervousness	0.0788737
excitement	0.0782998
uneasiness	0.0779124
sensor	0.0776966
discontent	0.0773368
indignation	0.0763255
suspicion	0.076308
furor	0.0757313
jitters	0.0753657
Distress	0.07502
sadness	0.0741689
noise	0.0723776
anguish	0.0723465
scare	0.0721295
controversy	0.0716337
resentment	0.0712839
alert	0.0706739
caution	0.0704632
beep	0.0688616
amazement	0.0681891
dissatisfaction	0.0678194
doubt	0.0670201
signal	0.0668539
rumor	0.0663704
puzzlement	0.0661598
bewilderment	0.0661064
misgiving	0.0656596
discomfort	0.065371
disbelief	0.0650712
tension	0.0649112
criticism	0.0647508
"warning light"	0.0646915
disquiet	0.0646534
"alarm clock"	0.0638974
irritation	0.0637057
wariness	0.0633259
unrest	0.0631783
condemnation	0.0629853
displeasure	0.0629217
explosion	0.0627047
disgust	0.062397
bitterness	0.061956
timer	0.0618975
regret	0.061885
complaint	0.0611219
apathy	0.0609913
awareness	0.0607404
complacency	0.0606318
jubilation	0.0601518
sprinkler	0.0600561
protest	0.0600402
device	0.059784
switch	0.0590744
backlash	0.0590454
enthusiasm	0.0588345
hysteria	0.0588203
disapproval	0.0587716
surprise	0.0583698
"air bag"	0.0582538
insecurity	0.0582191
disdain	0.0580886
discord	0.0580516
angst	0.0580276
annoyance	0.0580118
instability	0.0579084
"security system"	0.0578121
reaction	0.0577525
fury	0.0574314
clamor	0.0573055
disturbance	0.0567241
satisfaction	0.0567031
whistle	0.0559729
buzz	0.0556077
urgency	0.0555513
grief	0.0554215
misunderstanding	0.0548464
distrust	0.0548128
mistrust	0.0545675
epidemic	0.0545525
sentiment	0.0544899
cry	0.0543476
emotion	0.0542884
radar	0.0542827
hostility	0.0542492
despair	0.0542216
"circuit breaker"	0.0542007
pride	0.054129
sympathy	0.0540561
terror	0.0540222
cheer	0.053965
recorder	0.0539465
vigilance	0.0539149
exasperation	0.053615
horror	0.0535431
euphoria	0.0535015
awe	0.0534181
commotion	0.0534143
desperation	0.0531925
"sprinkler system"	0.0530468
perception	0.0530454
chaos	0.0530408
embarrassment	0.0529925
scanner	0.0529421
certainty	0.0529125
camera	0.0527092
ambivalence	0.0526236
disruption	0.0525873
glee	0.0525808
expectation	0.052556
amusement	0.0524953
unhappiness	0.05227
distaste	0.0522066
threat	0.0520642
catastrophe	0.0519789
violence	0.0518324
paranoia	0.0515087
disagreement	0.0514803
frenzy	0.051381
firestorm	0.0511539
headlight	0.0508711
cynicism	0.0508612
thermostat	0.0506231
equipment	0.0505781
disillusionment	0.0505049
detonation	0.0503548
escalation	0.0501576
pity	0.0500629
publicity	0.0500613
feeling	0.0500541
volatility	0.0499143
"public debate"	0.0499085
buzzer	0.0497826
stereo	0.0496467
pain	0.0496317
nostalgia	0.0495508
joy	0.0492941
turmoil	0.0492043
elation	0.0492015
sorrow	0.0491971
shame	0.0491378
Horn	0.0490711
revulsion	0.0490403
tremor	0.0490395
outbreak	0.0489569
gunshot	0.0488517
hesitation	0.0488321
outages	0.0487526
dread	0.0487354
"chain reaction"	0.0487186
inconvenience	0.0487141
breakdown	0.048701
rage	0.0486469
button	0.0486433
riot	0.0485754
crises	0.0485625
calamity	0.0485614
eyebrow	0.0485477
delight	0.0485121
mishap	0.04846
upheaval	0.0483949
pollution	0.0483785
disaster	0.0483406
admiration	0.0483324
pagers	0.0482858
beeper	0.0480915
rancor	0.0480389
rumblings	0.0480039
weariness	0.0479822
appliance	0.0479685
confidence	0.0478972
))
("alarm bell" (desc 2367.97) (sims
"church bell"	0.156235
"fire alarm"	0.15143
"death knell"	0.123238
doorbell	0.122088
"smoke alarm"	0.114736
"sonic boom"	0.108612
cowbell	0.102532
buzzer	0.100651
hackle	0.0964526
beeper	0.0959151
"warning light"	0.0860099
rejoicing	0.0856229
ruckus	0.0832759
"guessing game"	0.0818796
Chime	0.0814974
"alarm clock"	0.0799157
Siren	0.0795562
"circuit breaker"	0.0762153
"all clear"	0.0709799
"chain reaction"	0.0707732
"hue and cry"	0.0704667
alarmist	0.0695093
"sphere of influence"	0.068752
"alarm system"	0.0680226
ringing	0.0675995
beep	0.064007
intercom	0.0626903
firestorm	0.0621355
"explosive device"	0.0620898
rumblings	0.0615835
"market correction"	0.0608085
lightbulb	0.0607825
gunshot	0.0592985
drumbeat	0.0589431
cymbal	0.0589149
loudest	0.0579487
"asthma attack"	0.0575246
reverberation	0.0568977
chord	0.0560633
landmine	0.0549441
Gong	0.054514
"sprinkler system"	0.0542341
contretemps	0.0534371
"cash register"	0.0533784
furor	0.0528818
in-fighting	0.0526109
uproar	0.0511798
soul-searching	0.0510723
"car horn"	0.0510359
"expression of regret"	0.0508808
realignments	0.0507452
commotion	0.0505264
firecracker	0.0499997
"German Embassy"	0.0499551
cataclysm	0.0498926
disquiet	0.049863
eyebrow	0.0491072
shockwaves	0.0490314
migraine	0.0490095
bomblets	0.0484622
conflagration	0.0484438
"car bomb"	0.0479295
timer	0.0479117
hang-up	0.0478825
"takeover battle"	0.0475145
"pipe bomb"	0.0472371
flashbulb	0.0471026
"price war"	0.0468718
fistfight	0.0468586
resonance	0.0467128
flak	0.0462641
polluter	0.045508
"Japanese Embassy"	0.045266
ferment	0.0452565
Geiger	0.0452095
"brush fire"	0.0450803
opal	0.045061
"Museum of Chinese History"	0.0450452
"office block"	0.0449552
hand-wringing	0.0448954
whistling	0.0447626
"chemical reaction"	0.044709
hawkish	0.0446099
bloodletting	0.0445921
free-for-all	0.0445201
discord	0.0444907
one-timer	0.0444462
"military position"	0.0443884
ribbing	0.0443387
"medical institution"	0.0442699
"Russian Embassy"	0.043974
"ad blitz"	0.0438287
preachy	0.0437197
"distress signal"	0.0437085
"singing voice"	0.0435813
"cable car"	0.0434716
tug-of-war	0.0434535
"warning signal"	0.0434271
"eye opener"	0.0430415
"working man"	0.0430174
hotspots	0.0428614
"inferiority complex"	0.0428116
"French Revolution"	0.0427413
"combat mission"	0.0426054
anomaly	0.0425957
"trade barrier"	0.042477
beachhead	0.042389
reflex	0.0422771
Hokey	0.0422267
finger-pointing	0.0417157
gunbattle	0.0416712
"shock wave"	0.0416073
redundancy	0.0415868
"saber rattling"	0.0415347
hesitancy	0.0414604
"nuclear explosion"	0.0414099
"three schools"	0.0414077
jostling	0.0413658
"speaker system"	0.0413553
scepticism	0.0411861
dissension	0.0410376
"Capital Airport"	0.0410276
skittishness	0.0410196
workday	0.0407374
"quarter horse"	0.0406577
"work camp"	0.040634
straggler	0.040561
uneasiness	0.0405293
fireball	0.0404311
looker	0.0403381
"Eighth National Games"	0.0402186
crematorium	0.0401891
imposter	0.0401486
"booby trap"	0.0401084
jitters	0.0401036
))
("alarm clock" (desc 4400.93) (sims
"clock radio"	0.120832
toaster	0.0957132
"smoke alarm"	0.0955687
doorbell	0.0868167
"videocassette recorder"	0.0855136
"kitchen appliance"	0.0819651
"alarm bell"	0.0799157
flashlight	0.0778862
timer	0.0774102
"fire alarm"	0.0758003
"tape player"	0.0747804
stereo	0.0737948
"CD player"	0.072483
thermostat	0.0721777
"fire extinguisher"	0.0702693
"Good Book"	0.0694862
notepad	0.0683698
calculator	0.0681806
clocks	0.0680761
"biological clock"	0.067699
"guardian angel"	0.0674865
sundial	0.0674398
VCR	0.0665194
detonator	0.0663077
"fax machine"	0.0640596
toiletry	0.0620996
"water bottle"	0.0618598
"television set"	0.0615722
beepers	0.0615046
wristwatch	0.0614907
"pocket watch"	0.0607675
lamp	0.0603957
"alarm system"	0.0600169
horoscope	0.0595883
"picture frame"	0.059358
"stereo system"	0.0589521
pillowcase	0.0588308
paperweight	0.0587087
"bathroom fixture"	0.0586205
"church bell"	0.0580126
pagers	0.0578031
sprinkler	0.0572692
"cellular telephone"	0.0566206
pager	0.0561993
"cellular phone"	0.0560343
"tv set"	0.0559176
"price list"	0.0558343
bedspread	0.0550226
"washing machine"	0.0543361
beeper	0.0542921
scanner	0.0538081
cellphone	0.0537903
"car horn"	0.0537791
earphone	0.0528535
heater	0.0524587
"hair dryer"	0.0523183
toothbrush	0.0522448
joysticks	0.052039
detector	0.0519699
"dog tag"	0.0519664
"sewing machine"	0.0517477
bedding	0.0514698
gibberish	0.0514616
"light bulb"	0.0512768
air-conditioner	0.0512412
"trading card"	0.0510607
"name tag"	0.0510288
appliance	0.0509621
cot	0.0508743
dishwasher	0.0506164
faucet	0.0499604
conditioner	0.0498852
"bed linen"	0.0496636
phonograph	0.049544
Barbies	0.0493306
Siren	0.0492923
"cash register"	0.0490139
plumbing	0.0489621
pillow	0.0487753
"sound system"	0.0487631
mattress	0.0483806
thermometer	0.0480063
sensor	0.0479836
playlist	0.0477986
camcorders	0.0477771
"first-aid kit"	0.0477091
"cassette recorder"	0.0476583
"prescription medicine"	0.0476568
canine	0.0476459
"microwave oven"	0.047641
"folding chair"	0.0474649
doorknob	0.0470504
metronome	0.0470258
"X-ray machine"	0.0469055
antenna	0.0466561
glassware	0.046554
"pipe organ"	0.0462203
lemming	0.0462066
blender	0.0460168
"traffic cop"	0.046009
lantern	0.0459935
stapler	0.0458577
gyroscope	0.0457338
buzzer	0.0456612
"fire wall"	0.0455407
typewriter	0.0455202
molar	0.0454982
"filing cabinet"	0.0454966
"line of work"	0.0453299
beater	0.0452535
bloke	0.0452114
"tape recorder"	0.0451768
PDA	0.0451618
twit	0.0450599
infrared	0.0450457
"chain letter"	0.0448167
"compact disk"	0.0447283
"laptop computer"	0.0446985
Firefly	0.0445694
stove	0.044523
"jigsaw puzzle"	0.0445156
"coloring book"	0.0444988
rug	0.0444233
headboard	0.0443106
contraption	0.0441179
"solar panel"	0.0440838
"word processor"	0.043888
converter	0.0438095
"tool kit"	0.0437914
"sprinkler system"	0.0437725
"kerosene lamp"	0.0436655
camcorder	0.0436334
Projector	0.0433818
binocular	0.0433656
"canned food"	0.0432609
"Trojan Horse"	0.0431858
lightbulb	0.0431087
"newspaper ad"	0.0428262
Chime	0.0427239
"coffee table"	0.0426827
"hand-held computer"	0.0426161
brooch	0.0425273
"canned goods"	0.0425063
"Easter egg"	0.0423488
stopwatch	0.0423223
"data file"	0.0423131
"death knell"	0.0422881
recorder	0.0422577
switchboard	0.0420136
Walkman	0.0419929
"guiding light"	0.0418098
"magnifying glass"	0.0417807
lampshade	0.041566
Robby	0.0415304
grandkids	0.0415261
slipper	0.0415176
ass	0.0414987
"electric fan"	0.0414945
microwave	0.0414523
"greeting card"	0.0413177
"sleeping bag"	0.0412719
"automated teller machine"	0.0412532
cassette	0.0412059
"safety valve"	0.0411674
"vacuum cleaner"	0.0411615
hypotheses	0.0411551
Rolodex	0.0410628
"hearing aid"	0.0410435
detritus	0.0407053
"steam locomotive"	0.0406397
backpack	0.0405095
ac	0.0404818
"running shoe"	0.04048
chap	0.0404502
"tape measure"	0.040427
firecracker	0.0403597
"can opener"	0.040325
"heating system"	0.0402767
alternator	0.0402758
copier	0.0402742
"cup of tea"	0.0402197
vase	0.0401078
"catalytic converter"	0.0400519
intercom	0.0400449
))
("alarm system" (desc 3728.02) (sims
"sprinkler system"	0.172327
"security system"	0.146141
"smoke alarm"	0.141643
detector	0.12698
"fire alarm"	0.123258
sensor	0.115021
"catalytic converter"	0.112635
alarm	0.107549
"test equipment"	0.106522
"fire extinguisher"	0.105985
"surveillance system"	0.104441
"X-ray machine"	0.102396
stereo	0.100463
sprinkler	0.0998592
"electronic device"	0.0986768
transponder	0.0958719
transmitter	0.0957304
"communications equipment"	0.0945002
"communication system"	0.0939281
scanner	0.0938949
"electronic equipment"	0.0938654
avionics	0.0934442
"sound system"	0.0926578
air-conditioning	0.0925953
"safety feature"	0.0923402
"stereo system"	0.0916258
"audio system"	0.0913686
"microwave oven"	0.090814
beepers	0.0892251
"heating system"	0.0888326
"safety lock"	0.0879962
"warning light"	0.0877332
"gas stove"	0.0874959
"air bag"	0.0867298
"satellite receiver"	0.0850488
defroster	0.0850469
"cooling system"	0.0846906
conditioner	0.0844309
"control system"	0.0843512
recorder	0.084241
phonograph	0.0837441
"power steering"	0.0835313
timer	0.0829561
thermostat	0.0819021
"automatic teller machine"	0.0814957
sonar	0.0814596
"ventilation system"	0.0798536
defibrillators	0.0791479
"electrical system"	0.0782734
"tv set"	0.0779836
goggles	0.0764804
"central heating"	0.076346
"CD player"	0.0757707
ventilation	0.0755563
"cruise control"	0.0753439
heater	0.0744035
blinker	0.0739582
"exhaust system"	0.0739355
appliance	0.0735259
firewalls	0.0734323
pager	0.0732805
"air filter"	0.0730853
"fire escape"	0.0729663
"television set"	0.0726038
purifier	0.0722824
conditioning	0.0717995
autopilot	0.071359
defibrillator	0.0712405
"emergency exit"	0.0710547
"fax machine"	0.0709531
automatic	0.0706742
"telephone set"	0.0706381
"phone system"	0.0706085
generator	0.0704685
"early warning system"	0.0704532
"traffic light"	0.0696809
GPS	0.0692123
"water filter"	0.0691062
"tape recorder"	0.0689104
"hearing aid"	0.0688034
"water pump"	0.0685194
"washing machine"	0.0683973
brake	0.0683
"information system"	0.068187
"alarm bell"	0.0680226
radar	0.0676109
apparatus	0.067411
"cassette recorder"	0.0671043
V-chip	0.0670706
"communications network"	0.0666881
air-conditioner	0.0666672
"computer program"	0.066323
"outside mirror"	0.0662479
Lighting	0.0662412
"electric fan"	0.0661778
"cellular telephone"	0.0660947
shredders	0.06603
ignition	0.0654563
heating	0.0652539
"printing press"	0.065058
"weapons system"	0.0650231
webcams	0.0649763
headlight	0.0647887
camcorders	0.06476
"software system"	0.0647012
sensing	0.0646435
"cellular phone"	0.063723
"power system"	0.0635555
instrumentation	0.0635126
"weather station"	0.063488
"home appliance"	0.0634603
pacemaker	0.0633725
"household appliance"	0.0631335
Projector	0.0630604
gadget	0.0629673
"video screen"	0.0629421
partition	0.0626941
"circuit breaker"	0.0625397
modem	0.0623867
switchboard	0.0617523
"suspension system"	0.061668
microphone	0.0610541
"fire wall"	0.0609774
"power grid"	0.060861
sunroof	0.0608361
furnace	0.0607545
"telephone network"	0.0603522
kit	0.0603222
"computer equipment"	0.0601506
"alarm clock"	0.0600169
Siren	0.0597935
"hand-held computer"	0.0597087
"scientific instrument"	0.0592948
escalator	0.0591499
"engine failure"	0.0590875
pagers	0.0590012
"water tank"	0.0588171
"software package"	0.058714
"communications technology"	0.0586878
around-the-clock	0.058678
eavesdropper	0.0585709
"kitchen appliance"	0.0585692
antenna	0.0585526
Walkman	0.0580301
algorithm	0.0573566
elevator	0.0572577
steering	0.0572559
UNPREDEP	0.0570422
"seat belt"	0.0569766
"laptop computer"	0.0569686
wiper	0.0569207
"production equipment"	0.0568831
peripheral	0.0568528
"point system"	0.0568311
"cash register"	0.056722
"computer application"	0.0566819
"weather satellite"	0.0566773
circuitry	0.0560953
"data system"	0.0560215
electronics	0.0559941
"rescue equipment"	0.0559893
motor	0.0559
"power unit"	0.0558209
keyboard	0.0557154
VCR	0.0555002
dispenser	0.0553653
"circuit board"	0.0551721
printer	0.0550537
prosthesis	0.0550407
"personal computer"	0.054796
"medical instrument"	0.0546204
"water heater"	0.0546072
"electric light"	0.0544162
pulley	0.0544065
refrigerator	0.0543068
washer	0.0540133
"telecommunication system"	0.0538721
detonator	0.0537915
camcorder	0.0536133
molding	0.0534565
"air duct"	0.0534484
insulation	0.0532007
"internal control"	0.0531656
"voting system"	0.0530674
valve	0.0530179
wristwatch	0.0529585
shredder	0.0529307
router	0.0527611
headphone	0.0526802
"shower curtain"	0.0526058
muffler	0.052588
"street lamp"	0.0524146
"windshield wiper"	0.052309
gyroscope	0.0521966
changer	0.0519467
weaponry	0.051289
"telephone system"	0.0512874
"weapon system"	0.0511599
"computer network"	0.0510557
"telephone line"	0.0510545
))
(alarmist (desc 2547.25) (sims
downbeat	0.111173
preachy	0.102981
"all clear"	0.093199
picky	0.0920125
pessimist	0.0867557
proactive	0.0862517
hawkish	0.0851231
contrarian	0.0779991
antsy	0.0704903
"alarm bell"	0.0695093
eye-opening	0.0694278
timid	0.0692797
"throwing away"	0.0667336
one-word	0.0656764
agnostic	0.0654572
queer	0.06447
revisionist	0.0642336
Luddite	0.0641915
skeptic	0.0634309
doomsday	0.0619048
forecaster	0.0616128
retro	0.0610796
obstructionist	0.0601229
optimist	0.0600522
simpatico	0.0583781
protectionist	0.0574924
overlong	0.0566326
off-day	0.0565651
similiar	0.0551862
boilerplate	0.0549287
worrier	0.0544597
Orwellian	0.0544381
dovish	0.054398
voyeur	0.0543211
"big leaguer"	0.0538321
"jumping up and down"	0.0515126
highflier	0.0506969
hyper	0.0506021
naysayer	0.0505573
up-front	0.0504796
lecturing	0.0501485
outcast	0.0497193
pundit	0.0496036
gibberish	0.0495924
populist	0.0495631
"guessing game"	0.0493867
nuts-and-bolts	0.0492929
Islamist	0.0490836
in-depth	0.0488485
travelogue	0.0488247
complicit	0.0486606
infantryman	0.0484758
"sitting duck"	0.0481711
troubleshooter	0.0481667
Americanized	0.0481615
survivalist	0.0481076
Hokey	0.0477564
extortionist	0.0476486
"important person"	0.0476029
eyewitness	0.0474748
foul-up	0.0473205
know-it-all	0.0471805
"wise guy"	0.0470884
doomsayers	0.0469727
"fall guy"	0.0469677
"pain in the neck"	0.0469553
"knee jerk"	0.0466528
idealist	0.0466233
loony	0.0465905
"North Carolinian"	0.0463063
"death knell"	0.0460334
purist	0.045963
egomaniac	0.0457618
grown-up	0.0454552
"good person"	0.0453043
CMG	0.044924
tripe	0.044922
confessional	0.0447256
"project manager"	0.0443217
anticlimax	0.0441598
Berliner	0.0440468
"double agent"	0.0439339
"guinea pig"	0.0438258
traditionalist	0.0437563
"foot soldier"	0.0435335
"wire service"	0.0435072
double-teamed	0.0432476
"background noise"	0.0430809
rote	0.0430009
outta	0.0428545
superhero	0.0428541
Maven	0.0427473
Iowan	0.042429
theorist	0.042299
elitist	0.0422202
privy	0.0422104
Libertarian	0.0420692
Wiz	0.041833
"rich man"	0.0417221
Slav	0.0416514
"first person"	0.0416175
"computer expert"	0.0412532
"science fiction"	0.0412051
"smart aleck"	0.0411695
rollover	0.0407901
idiot	0.0406853
"paying attention"	0.0404604
"New Testament"	0.0404414
ogre	0.0403623
"center of attention"	0.0401929
))
(Alaska (desc 47145.5) (sims
Maine	0.185202
"New Mexico"	0.174441
Montana	0.16834
Idaho	0.16599
Louisiana	0.1652
Wyoming	0.163444
California	0.162911
Oregon	0.161894
Hawaii	0.161628
Nevada	0.158503
Pennsylvania	0.153792
Vermont	0.153463
"North Dakota"	0.152897
"South Dakota"	0.151565
Virginia	0.148937
Florida	0.147713
"North Carolina"	0.147357
Missouri	0.146755
Massachusetts	0.141971
"South Carolina"	0.139803
Mississippi	0.136877
Wisconsin	0.133063
Arkansas	0.132306
"New Jersey"	0.132242
Oklahoma	0.131977
Michigan	0.131689
Maryland	0.131297
"West Virginia"	0.129696
Utah	0.128616
Ohio	0.128297
Colorado	0.128285
Arizona	0.127777
"Rhode Island"	0.12766
Texas	0.127603
Connecticut	0.127463
Kansas	0.127194
Iowa	0.126235
Georgia	0.123673
Alabama	0.123229
Delaware	0.123133
"British Columbia"	0.122823
Illinois	0.122364
Kentucky	0.121682
"New Hampshire"	0.118222
Nebraska	0.112446
Minnesota	0.111669
"New York"	0.106464
Bahamas	0.103865
Indiana	0.102277
Canada	0.101192
Caribbean	0.101129
"Puerto Rico"	0.10084
"New England"	0.10056
"Southern California"	0.099529
"South America"	0.0967354
Tennessee	0.0963349
"Alaska Airlines"	0.0955205
Alaskan	0.0951853
Mexico	0.094515
"Northern California"	0.0944824
Washington	0.0936879
Greenland	0.0921599
Siberia	0.0901195
"District of Columbia"	0.0901036
Honduras	0.089406
"Pacific Northwest"	0.0892023
"South Florida"	0.0876319
"Nova Scotia"	0.0859838
Carolinas	0.085929
"North America"	0.0853241
Midwest	0.0849855
state	0.0842993
Antarctica	0.0826035
Ireland	0.082398
Iceland	0.0804355
"Gulf of Mexico"	0.0800175
"Los Angeles"	0.078844
"Persian Gulf"	0.078837
Northeast	0.0783394
pacific	0.0781651
"West Texas"	0.0778303
Europe	0.077304
Quebec	0.0765966
"New York City"	0.076208
"Las Vegas"	0.0760939
delta	0.0755872
"Costa Rica"	0.0755234
Ontario	0.0738191
Newfoundland	0.0732378
Colombia	0.0731099
TWA	0.0726181
northwest	0.0723218
Mediterranean	0.0722933
"New Orleans"	0.0722065
Japan	0.0721308
Chicago	0.0716005
Seattle	0.0715983
Africa	0.0715905
Arctic	0.0715743
Philadelphia	0.0715445
Cuba	0.0709806
"Kansas City"	0.0704489
"Central America"	0.0704467
"San Francisco"	0.0703544
Guam	0.0701681
"United States"	0.0701571
Australia	0.0700806
Miami	0.0697509
Austin	0.0695982
region	0.0691972
"San Antonio"	0.0688933
Boston	0.06884
Adirondacks	0.0685619
"New Zealand"	0.0684253
Nicaragua	0.068386
Venezuela	0.0683004
Honolulu	0.0681729
"Dominican Republic"	0.0680757
Dakota	0.0676894
"San Diego"	0.0673341
Bermuda	0.0673034
Houston	0.0671036
England	0.067026
southwest	0.0670108
Peru	0.0668178
"Long Island"	0.0666757
Ecuador	0.0666165
"Gulf Coast"	0.0666038
Atlanta	0.0664107
south	0.0663054
"Great Lakes"	0.0662412
China	0.066155
"Orange County"	0.0661498
"Rocky Mountains"	0.0652096
Gulf	0.0647788
Albany	0.0647261
Panama	0.0645686
France	0.0644522
Italy	0.0643259
"Washington State"	0.0641361
America	0.0640384
Tucson	0.0638901
Alberta	0.0638856
Phoenix	0.0636818
"Far East"	0.063659
coast	0.0634012
Philippines	0.0633802
island	0.0633397
LONDON	0.0632482
"Pacific Ocean"	0.0631059
"St. Louis"	0.0629432
Kenya	0.0627876
Greece	0.0627793
"St. Petersburg"	0.0627171
Dallas	0.0626383
Columbus	0.0624824
"Cape Cod"	0.0622256
"US Airways"	0.0620943
Asia	0.0620914
Egypt	0.0618924
Savannah	0.0618308
Chile	0.0618123
Paris	0.0616406
"Saudi Arabia"	0.0615998
Russia	0.061438
Guatemala	0.061374
Portland	0.06135
"America West"	0.061341
Thailand	0.061337
"Palm Beach County"	0.0613227
Rockies	0.0611675
Denver	0.0610653
"Bay Area"	0.0608999
Tibet	0.060895
"New Brunswick"	0.0607197
Brazil	0.0607084
"Caspian Sea"	0.0606765
India	0.0604911
Detroit	0.0602875
Bolivia	0.0601538
Tampa	0.0601249
Poland	0.0601167
Atlantic	0.060017
"New York State"	0.0598836
"Long Beach"	0.0597983
"Western Europe"	0.0597617
Somalia	0.0595347
Oaxaca	0.0594455
"Middle East"	0.0594102
"Key West"	0.0594035
Newark	0.0593749
"Mexico City"	0.0593302
Norway	0.0592311
province	0.0591908
Ukraine	0.0591832
"Fort Worth"	0.0591278
Nashville	0.0590512
Havana	0.0590079
plain	0.058936
Caspian	0.0584338
))
("Alaska Airlines" (desc 5271.84) (sims
"US Airways"	0.211769
"Trans World Airlines"	0.210748
"Delta Air Lines"	0.200796
TWA	0.196858
USAir	0.196095
"American Airlines"	0.195824
"Continental Airlines"	0.192458
"Korean Air"	0.189611
"Northwest Airlines"	0.185686
EgyptAir	0.183669
"Southwest Airlines"	0.182502
"United Airlines"	0.18007
"America West"	0.178366
"Gulf Air"	0.172371
"Delta Airlines"	0.167453
Swissair	0.16155
"China Airlines"	0.161098
"Air China"	0.156631
"British Airways"	0.156409
KLM	0.155142
"Kenya Airways"	0.150471
"Thai Airways"	0.148897
"Cathay Pacific Airways"	0.14327
"Air France"	0.141322
AIRTRAN	0.141309
"El Al"	0.137778
"Air India"	0.12971
Asa	0.129205
delta	0.127262
"Pan Am"	0.124599
"Japan Airlines"	0.122882
Aeromexico	0.122817
"Cathay Pacific"	0.122007
"American eagle"	0.118276
Garuda	0.117982
Aeroflot	0.116861
"Indian Airlines"	0.116248
"Air Canada"	0.116118
"America West Airlines"	0.115896
"Ethiopian Airlines"	0.115448
ValuJet	0.11317
airline	0.112926
Comair	0.112812
TU-@@@	0.107022
Airlines	0.106533
"blue angel"	0.104373
A@@@-@@@	0.103426
Fedex	0.1034
"Air France Concorde"	0.102896
Emery	0.102868
Cathay	0.10283
Lufthansa	0.102813
"Airbus A@@@"	0.102689
"Eastern Airlines"	0.10095
MD-@@	0.100496
DC-@@	0.0995009
Alitalia	0.0991886
"Niagara Mohawk"	0.098653
"Turkish Airlines"	0.0974311
Mig	0.0967318
Alaska	0.0955205
"Philippine Airlines"	0.0950503
Boeing	0.0936496
"Vietnam Airlines"	0.0926448
"China Southern Airlines"	0.0922918
"Singapore Airlines"	0.0910953
"Royal Air Force"	0.090215
"South African Airways"	0.0898062
RealNetworks	0.0892764
"U.S. Air Force"	0.0886618
FAA	0.0879091
continental	0.0875947
Ba	0.0869527
Harrier	0.0865628
turboprop	0.0860803
"McDonnell Douglas"	0.0859572
CSX	0.0856365
Amtrak	0.0855482
DC-@	0.0852764
IAF	0.0850084
JetBlue	0.0848707
RAF	0.0846633
Omnipoint	0.0843663
SAA	0.0839895
widebody	0.0829469
A-@@@	0.0822041
JAT	0.0813855
A-@@	0.0811258
"Indian Air Force"	0.0803174
Iberia	0.0795315
C-@@	0.0792373
Concorde	0.0787912
A@@@	0.0787537
Biman	0.0783607
"U.S. Navy"	0.0782243
Qantas	0.0781956
Ansett	0.0776787
Prowler	0.0774073
MiG-@@	0.0763017
"British Aerospace"	0.0757043
"Airbus @@@"	0.0756739
"Con Ed"	0.0753617
"Marine Corps"	0.0748244
"Con Edison"	0.0737052
"Federal Express"	0.0736794
Airbus	0.0729951
"Virgin Atlantic"	0.0728864
McKesson	0.0725963
"China Eastern Airlines"	0.07251
Verizon	0.0725021
FSA	0.0721986
Airtouch	0.0717042
Caltrans	0.0716871
Bridgestone/Firestone	0.0715806
AMR	0.0715755
"Air Lanka"	0.0711974
Lockheed	0.0707651
F-@@	0.0703364
UAL	0.069947
"Computer Associates"	0.0695594
SU-@@	0.0687784
P-@	0.0685472
X-@@	0.0684315
Il-@@	0.0684027
SabreTech	0.0683407
Sabena	0.0678252
"Flight @@@"	0.0677788
SCI	0.0674979
CIRC	0.0674536
"electronic warfare"	0.0671981
"Georgia Power"	0.0670893
"Wine Institute"	0.0665301
Overnite	0.0659613
C-@@@	0.0658943
FPL	0.0655951
"Boeing company"	0.0655701
Paxson	0.0654896
COSCO	0.0647033
MD	0.0646202
A@XX	0.0645952
Cendant	0.064393
"MCI Worldcom Inc."	0.064203
"Reno Air"	0.0640084
OSHA	0.0636079
"Network Solutions"	0.0632929
Learjet	0.0632316
Dragonair	0.0631437
Qwest	0.0631047
Cessna	0.0629442
NRC	0.0626922
"Canadian Airlines"	0.0626689
"Malaysia Airlines"	0.0626674
"Phelps Dodge"	0.0626656
Honeywell	0.0625426
"U.S. Soccer Federation"	0.0625424
NHTSA	0.0623425
"National Grid"	0.0619816
WPP	0.0619491
"Bell Atlantic"	0.0618064
F-@	0.061701
"Pac Bell"	0.0612387
Marketspan	0.0610547
"Air Force"	0.0609993
"U.S. Defense Department"	0.0608648
"England Club"	0.0608095
"Association of Flight Attendants"	0.0607538
INS	0.0607158
"Thai Airways International"	0.0605287
TYCO	0.0605032
"EgyptAir Flight @@@"	0.060499
ENTERGY	0.0604938
ATF	0.060482
Bridgestone	0.0604383
"Air National Guard"	0.0603792
Instinet	0.0601104
F-@@@	0.0600637
SmithKline	0.0599466
JAL	0.0599455
"Bank of Scotland"	0.0598744
Webvan	0.0598194
"British Foreign Office"	0.0598145
AN-@@	0.0595466
"Coast guard"	0.0594713
CAA	0.0594506
"Boeing Co."	0.0593503
GPU	0.0592952
"Hongkong Telecom"	0.059167
SLOC	0.0591389
CSRC	0.0587882
"United Parcel Service"	0.0587432
osprey	0.0587365
VoiceStream	0.0586876
"Fannie Mae"	0.0584888
ups	0.0584562
"PG&AMP;E"	0.0582127
"Australian Cricket Board"	0.0582057
"MCI WorldCom"	0.0581437
"Consolidated Edison"	0.0581276
Kaiser	0.0580238
DP	0.0579495
))
("Alaska Airlines Flight @@@" (desc 1403.72) (sims
"Swissair Flight @@@"	0.255413
"EgyptAir Flight @@@"	0.234131
"Air France Concorde"	0.214367
"Airbus A@@@"	0.172682
MD-@@	0.168984
"Flight @@@"	0.161119
"Flight @@@@"	0.154841
"TWA Flight @@@"	0.151031
Learjet	0.143989
"Airbus @@@"	0.143393
jetliner	0.132592
biplane	0.121579
USAir	0.121157
"Pan Am Flight @@@"	0.118814
osprey	0.116283
DC-@@	0.110458
warplane	0.101378
DC-@	0.101217
A@@@-@@@	0.0925105
F-@@	0.0900208
Hindenburg	0.0877968
Kursk	0.0810221
Cessna	0.0757795
"Turkish Airlines"	0.071233
"Cessna @@@"	0.0701906
"loud noise"	0.0696467
"Andrea Gail"	0.0687604
Mini-bus	0.0679395
C-@@@	0.0670608
MiG-@@	0.0668895
ValuJet	0.0668652
EgyptAir	0.0658199
Apache	0.0652636
Concorde	0.0651528
"flying saucer"	0.0647137
B-@@	0.0634892
minibus	0.0630695
"Pan Am"	0.0621804
chopper	0.0618652
"Zimbabwean dollar"	0.0617649
Hunley	0.0590347
"commuter train"	0.0587545
Prowler	0.0568207
"Kenny Irwin"	0.0558166
glider	0.0544949
"pirate ship"	0.054423
"freight train"	0.0542633
levity	0.0541977
C-@@	0.0539434
"Kenya Airways"	0.0524819
"scuba diver"	0.0521088
"New Carissa"	0.0517122
parachutist	0.0513827
F-@@@	0.0512975
gondola	0.0512388
"booster rocket"	0.0511681
"express train"	0.0510256
Apaches	0.0508097
Atlantis	0.0502442
TU-@@@	0.0488392
"hot-air balloon"	0.0480125
bogy	0.0477631
"space probe"	0.0459846
"luxury liner"	0.0459726
"space capsule"	0.0457264
F-@	0.0455093
"Ford Explorers"	0.0452794
"USS Enterprise"	0.0448773
"Human Immunodeficiency Virus"	0.0446104
Sensex	0.0430827
chinook	0.0429909
"Berlin Wall"	0.0426139
mudslide	0.0423929
speedboat	0.0422775
"Reno Air"	0.042162
Irishmen	0.0420636
sunken	0.0417551
scaffold	0.0416963
"merchant ship"	0.0415015
Saint-Exupery	0.0413554
Orbiter	0.0410122
"Nanjing Massacre"	0.040758
Dawes	0.0406939
Webdale	0.0406622
))
(Alaskan (desc 6515.51) (sims
Arctic	0.124807
Alaska	0.0951853
Hawaiian	0.0926287
"Costa Rican"	0.0897465
"Israeli Arab"	0.0814364
Appalachian	0.0766094
Icelandic	0.0710316
Caspian	0.0699109
Okinawan	0.0693798
"West Texas"	0.0691967
"Far Eastern"	0.0691938
Inuit	0.0675716
Ohioan	0.0672703
Hawaiians	0.0667482
Adriatic	0.0636591
"South Atlantic"	0.0635093
Maasai	0.0631696
"Puerto Rican"	0.062795
Floridian	0.062358
"South Korean"	0.0622196
Kazakh	0.061887
Montenegrin	0.0608985
"South Carolinian"	0.0587606
Iroquois	0.0585406
Baltic	0.0576142
"North American"	0.0575107
"Kosovar Albanian"	0.0574103
"Irish Catholic"	0.0572532
Vermonter	0.0570023
Washingtonian	0.0555831
Galapagos	0.0555032
Aegean	0.0550742
"South American"	0.0542784
Scottish	0.0542418
Ivorian	0.0541062
Ecuadorean	0.0538278
walleye	0.0537854
"picture postcard"	0.0534753
Irish	0.0530546
halibut	0.0518578
Yukon	0.051734
"Pacific Coast"	0.0516927
"East Texas"	0.0516716
Ecuadoran	0.051479
Adirondack	0.0511585
Virginian	0.0508457
"San Franciscans"	0.0507244
Iowan	0.0506805
golfing	0.0504215
Ukrainian	0.050236
Maine	0.0500917
Atlantan	0.049725
"North Georgia"	0.0494903
trout	0.0493563
Ecuadoreans	0.0491261
Japanese-American	0.048845
"Hispanic American"	0.0487895
Catskill	0.048694
Azeri	0.0485767
Estonian	0.0485023
Baja	0.0483695
sherpas	0.0481371
"Red Sea"	0.0480673
"Black Sea"	0.0480255
Californian	0.0478845
striper	0.047637
Basques	0.0474872
Caribbean	0.0474773
Londoner	0.0473889
"temporary worker"	0.0472371
Breton	0.0471998
"native American"	0.0470349
enrollee	0.0470144
"American Indian"	0.0469212
"New Englander"	0.0465156
Ingush	0.0464678
"North Carolinian"	0.0462912
Maori	0.0461956
"coal gas"	0.0461807
"South Texas"	0.0460535
Acadian	0.0460174
"Central American"	0.0459788
Kansan	0.0459557
sawgrass	0.0459001
four-night	0.0457315
"North Korean"	0.0452886
Turkish	0.0452346
Minnesotan	0.0451939
"West Indian"	0.0450941
Brent	0.0449163
Gloucester	0.0448227
"Sri Lankan"	0.0447515
householder	0.0445604
Arizonan	0.0444867
"British Columbia"	0.0444667
Aborigine	0.0444191
"North Sea"	0.0443002
"card holder"	0.0442974
"Rocky Mountain"	0.0442166
anchovy	0.0439708
Missourian	0.0438664
"bluefin tuna"	0.0438575
registrant	0.0438323
"British people"	0.0436175
vanishing	0.0434392
oceanside	0.043305
condensate	0.0432139
Southerner	0.0431541
ranching	0.0430963
Atlantans	0.0430513
"North Atlantic"	0.0430138
Irish-American	0.0430085
cobalt	0.0429543
Provencal	0.0428656
"African American"	0.0428255
"South Georgia"	0.0428082
"Caspian Sea"	0.0427874
Maltese	0.0427494
coho	0.0427465
"prairie dog"	0.0426959
Yorkshire	0.0425856
down-and-out	0.0425437
"South African"	0.0425011
LNG	0.042415
BLM	0.0423397
herring	0.0421363
Greek	0.0419899
"working class"	0.0416798
"church member"	0.0416665
Greenland	0.0416514
Asian-American	0.0416156
"high quality"	0.041607
Sinhala	0.0414309
Cuban-American	0.0413151
Quebecers	0.041286
"Eastern European"	0.041229
Mediterranean	0.0411236
Cornish	0.0410852
Hungarian	0.0409393
Eskimo	0.0409357
Abkhazian	0.0408103
Cordova	0.0404152
Maya	0.0404015
Panamanian	0.0401859
"Marin County"	0.0400317
))
(Alatas (desc 1792.7) (sims
Kasoulides	0.274699
Nzo	0.250043
Kharrazi	0.243523
Komura	0.243087
Ruehe	0.241872
"de Charette"	0.238786
Jayakumar	0.235196
Stoyanov	0.229058
Siazon	0.228103
Zou	0.226652
Azad	0.226189
Dini	0.224356
Tsang	0.223055
Insulza	0.221294
Wolfensohn	0.221243
Ikimi	0.216612
Guterres	0.20959
Cem	0.20939
Aziz	0.208318
Velayati	0.20781
Singson	0.205376
Sergeyev	0.204855
Ivanov	0.203737
Tarawneh	0.203663
Zuma	0.203298
Phieu	0.202654
Jovanovic	0.199831
Rifkind	0.198252
Malu	0.196301
Pangalos	0.193909
Mkapa	0.193252
Shamshad	0.193149
Meguid	0.192351
"De Soto"	0.190465
Narayanan	0.189953
Meles	0.189795
Aventajado	0.189227
Kabariti	0.188625
Ganzouri	0.188253
Kinkel	0.187932
Axworthy	0.187637
Orban	0.185576
Kostov	0.184199
Lipponen	0.183597
Juppe	0.183137
Nasrallah	0.182305
Khai	0.182191
Goh	0.181147
Akayev	0.180602
Vedrine	0.180407
Majali	0.179694
Brittan	0.178436
Moratinos	0.178321
Azizah	0.178243
Ikeda	0.176799
Muluzi	0.176535
Hasina	0.176435
Gujral	0.175905
Abdel-Meguid	0.175492
Brahimi	0.175428
"Frederick Sumaye"	0.175401
Nazarbayev	0.174384
Solana	0.174145
Qian	0.173279
Shi	0.172997
Severino	0.172353
Moussa	0.1723
Ogata	0.171767
Leghari	0.171701
Karimov	0.171608
Klima	0.17149
Pickering	0.171383
Brundtland	0.170939
Schuessel	0.170897
Erekat	0.170222
Kyprianou	0.1698
Chissano	0.169556
Constantinescu	0.168143
Stroyev	0.168001
Wilhelm	0.167662
Rodionov	0.167129
Boueiz	0.166845
Granic	0.166728
Nujoma	0.166579
Demaci	0.166002
"Lee Hsien Loong"	0.16531
Pustovoitenko	0.165173
Scalfaro	0.164682
Ben-Ami	0.164275
Shaath	0.164016
al-Sahhaf	0.163905
Sumaye	0.163351
Shevardnadze	0.163309
Deuba	0.162702
"Khin Nyunt"	0.162403
Fernandes	0.162362
Shareh	0.162361
Barshefsky	0.160816
Kwasniewski	0.160398
Downer	0.159787
Grasso	0.158933
Berri	0.158422
"Jordanian King Abdullah Bin Hussein"	0.158079
Chevenement	0.157978
Holl	0.157957
Camdessus	0.157694
Vasile	0.157242
Saleh	0.156348
Chiluba	0.156235
"Minister Shlomo Ben-Ami"	0.156165
Juma	0.156009
Ecevit	0.155935
al-Khatib	0.15592
Bulatovic	0.15586
Zeng	0.155615
Malan	0.155376
Surin	0.155297
Khamenei	0.153719
Salim	0.153519
Strauss-Kahn	0.152657
Simitis	0.152646
Klestil	0.15187
Bruton	0.151642
Talbott	0.151428
Advani	0.151167
Sharaa	0.150832
Prewitt	0.150624
Chuan	0.150038
"Valery Pustovoitenko"	0.149935
el-Ganzouri	0.149829
Sahnoun	0.149334
Hrawi	0.14852
Hoss	0.148247
Frei	0.147841
Fino	0.147731
al-Sahaf	0.147685
"Pascoal Mocumbi"	0.147293
Indyk	0.146917
"Meles Zenawi"	0.146806
"Bashkim Fino"	0.146662
Kono	0.146563
McCurry	0.145749
"Secretary General Esmat Abdul-Meguid"	0.14516
Yastrzhembsky	0.144741
Gurirab	0.144666
Harmoko	0.144509
Diouf	0.14427
Scharping	0.143209
tang	0.143115
Modise	0.143054
Waigel	0.143005
Demirel	0.142995
Sha	0.142656
"Antonio Guterres"	0.142426
"Tareq Aziz"	0.142368
"William Perry"	0.142339
Menem	0.14221
Alarcon	0.142157
Husseini	0.141781
Erwin	0.141154
Niyazov	0.140974
wen	0.140756
Chavalit	0.140753
Ciampi	0.140519
"Faisal Husseini"	0.140196
"Than Shwe"	0.140056
Chretien	0.139995
Luo	0.139837
Khaddam	0.139676
Duisenberg	0.139674
"Fayez Tarawneh"	0.139654
"Vo Van Kiet"	0.138945
Buthelezi	0.138758
Denktash	0.138704
Hu	0.138297
Dehaene	0.138217
Marulanda	0.138166
Mbeki	0.138093
Leung	0.13769
Rong	0.137559
Qiao	0.137453
Abbas	0.13721
Ahern	0.136934
Shipley	0.136866
Ahtisaari	0.136829
Baz	0.136768
Kuchma	0.136726
Muoi	0.136472
Vollebaek	0.136395
Kasyanov	0.136328
Piot	0.136232
"Pandeli Majko"	0.136164
Koo	0.136074
al-Sharaa	0.13585
"Atal Bihari Vajpayee"	0.135574
Tung	0.135573
Iliescu	0.135369
"Krishna Prasad Bhattarai"	0.135239
Bildt	0.135146
Prueher	0.134942
Masire	0.134917
"Maung Aye"	0.134603
Reimer	0.134537
"Defense William Cohen"	0.134438
Yilmaz	0.134136
"Romano Prodi"	0.134133
Xiang	0.134105
"Wlodzimierz Cimoszewicz"	0.133951
Museveni	0.133338
Ghali	0.132943
Zeroual	0.132609
Jia	0.132366
"Tariq Aziz"	0.131979
Tarrin	0.131634
McKinnon	0.131506
Juncker	0.13133
Rakhmonov	0.131036
Mugabe	0.130632
Kok	0.129963
Manley	0.129925
Zhu	0.129736
"Tim Fischer"	0.129488
Flanagan	0.129375
Blatter	0.129003
"Goh Chok Tong"	0.128699
Fischer	0.128696
Wei	0.128659
Prodi	0.128515
Beilin	0.128381
Tella	0.128132
Al-Sabah	0.128
Xanana	0.127763
Tian	0.127512
Santer	0.127429
Cao	0.127394
Papandreou	0.12719
Lari	0.127057
Peres	0.126876
Wiranto	0.126865
Ruggiero	0.126784
"Phan Van Khai"	0.126774
Misuari	0.126713
Izetbegovic	0.126504
Shara	0.126395
Chirac	0.126225
"Saeb Erekat"	0.125952
Wahid	0.125514
Garang	0.124925
"Chavalit Yongchaiyudh"	0.124443
"Chea Sim"	0.124442
Kagame	0.12444
Albright	0.124381
Ebersol	0.12429
Primakov	0.124289
Moi	0.124259
Jospin	0.124061
Walser	0.123681
"Ivan Kostov"	0.123508
Beazley	0.123321
Fraga	0.123248
Cianci	0.123195
Mordechai	0.123096
Napolitano	0.123052
Kumaratunga	0.123016
Weizman	0.122907
Lukashenko	0.122886
"George Robertson"	0.122835
"Orlando Mercado"	0.122794
Fu	0.122189
"administration official"	0.122078
Iglesias	0.121977
Lebed	0.121821
"Prime Minister Kamal El-Ganzouri"	0.1216
LeBlanc	0.121339
Aleman	0.121301
Glickman	0.121104
"King Sihanouk"	0.121078
Talebi	0.120726
Wu	0.120688
"Amos Wako"	0.120653
Cohen	0.120454
Gowda	0.120363
Luzhkov	0.119827
"Costas Simitis"	0.119568
Koirala	0.119422
Mandela	0.119323
Clerides	0.119308
"Speaker Ali Akbar Nateq-Nouri"	0.119073
"Mikhail Kasyanov"	0.118992
Wolfson	0.118901
Banharn	0.118899
"Jean Chretien"	0.118752
Koskinen	0.118536
"Mesut Yilmaz"	0.118527
"John Bruton"	0.118527
Abubakar	0.118521
Vajpayee	0.118493
Bhattarai	0.11845
Zhirinovsky	0.118367
Eran	0.118299
"Yuri Maslyukov"	0.11818
Nateq-Nouri	0.118024
Lim	0.117907
"Bertie Ahern"	0.117898
Boutros-Ghali	0.117742
Dar	0.117701
Eizenstat	0.117679
Daschle	0.116985
al-Hariri	0.116906
Havelange	0.116816
Ramos	0.116716
"William S. Cohen"	0.11665
Sanguinetti	0.116644
"Abidine Ben Ali"	0.116632
"Shi Guangsheng"	0.116595
"Inder Kumar Gujral"	0.116285
LU	0.115862
Xiong	0.115792
Khalil	0.115749
"Radu Vasile"	0.115386
Gullikson	0.115319
Hamad	0.115245
Maslyukov	0.115068
"Yevgeny Primakov"	0.11503
"Rafik Hariri"	0.114628
Buzek	0.114597
"Qian Qichen"	0.114553
Kulikov	0.114385
Mahathir	0.114232
Soares	0.114116
Kiriyenko	0.11407
Bizimungu	0.113887
"William Cohen"	0.11382
Chi	0.113765
Milutinovic	0.113709
Kennard	0.113655
"deputy foreign minister"	0.113613
"Tin Oo"	0.113452
"Deve Gowda"	0.113398
Luong	0.113395
"Abu Mazen"	0.113257
Hodler	0.11293
Lahoud	0.112799
Schmid	0.112783
Zadornov	0.112724
Lockhart	0.112693
Hamid	0.112427
Dai	0.112391
Kromah	0.11234
Buyoya	0.112318
Sassa	0.11217
Blair	0.112109
Nemtsov	0.111764
Gaddafi	0.111746
"Atef Obeid"	0.111652
Sharon	0.111554
Beye	0.111483
Nano	0.11144
Farrakhan	0.111382
McCaffrey	0.111038
Bambang	0.111024
Havel	0.11092
Hariri	0.110864
Mubarak	0.110734
Bellamy	0.110369
"Goran Persson"	0.110364
Dodik	0.110306
Bucaram	0.110254
D'Alema	0.110228
Aznar	0.110201
Estrada	0.109865
Broek	0.109835
"John Howard"	0.109664
Hamdoon	0.109403
"Bill Richardson"	0.109374
Bolger	0.109372
Sakakibara	0.109222
"Salim Hoss"	0.108935
"Javier Solana"	0.108913
"Lee Kuan Yew"	0.108906
Stepashin	0.108843
Chernomyrdin	0.108794
"Tung Chee Hwa"	0.108668
Annan	0.108632
Sponeck	0.108604
Grachev	0.10841
Markovic	0.108324
"Sergei Stepashin"	0.108304
Donohue	0.108246
Vialli	0.108078
Ashrawi	0.107949
Meissner	0.107813
Milo	0.107763
Yazdi	0.107742
Persson	0.107612
Chubais	0.107482
"Sher Bahadur Deuba"	0.107435
TALBOT	0.107158
Rau	0.107146
"Chuan Leekpai"	0.107099
"Dos Santos"	0.107046
Rashid	0.107002
Tsvangirai	0.106941
Belo	0.10686
"Robert Aventajado"	0.10686
"Amnuay Virawan"	0.106665
Hashimoto	0.106635
"Wim Kok"	0.106514
"Chief Executive Tung Chee-hwa"	0.106441
Peng	0.10639
Hassan	0.106378
"Secretary General Esmat Abdel-Meguid"	0.106343
"Li Peng"	0.105728
"Li Ruihuan"	0.105711
Daley	0.105691
"Marzuki Darusman"	0.105379
Rawlings	0.105157
Rudman	0.10489
Lau	0.10485
Rubin	0.104675
Lehane	0.104552
Akbar	0.104497
Cashman	0.104477
guo	0.104361
"Sheikh Hasina"	0.104339
"Abdul Karim Kabariti"	0.104285
Okada	0.103869
Obasanjo	0.103759
"Wu Yi"	0.103697
"Atal Behari Vajpayee"	0.103672
McGuinness	0.103532
"Necmettin Erbakan"	0.103515
"H.D Deve Gowda"	0.103319
Rabbani	0.10327
Ciller	0.10312
"Mikulas Dzurinda"	0.10307
Rawabdeh	0.102912
Seleznyov	0.102908
Gullit	0.102832
Lamberth	0.102756
Musharraf	0.102679
Rahman	0.102592
Banzer	0.102378
"Binyamin Netanyahu"	0.102113
Venables	0.10184
Jiang	0.10182
"Abdul Salam Majali"	0.101748
Mercado	0.10166
Schroeder	0.101455
Erbakan	0.101446
Caddell	0.101378
al-Baz	0.101252
Sanan	0.101153
Levitt	0.101151
Kissinger	0.100999
Feng	0.100927
Benazir	0.100884
"Russian Foreign Ministry"	0.100744
Fabius	0.100289
Buhe	0.100235
el-Baz	0.100149
Rais	0.100035
))
(Alaves (desc 3113.05) (sims
Villareal	0.353145
Espanyol	0.273401
Extremadura	0.267495
Betis	0.244362
"Real Sociedad"	0.235953
Zaragoza	0.235659
Celta	0.232337
Valladolid	0.222832
"Deportivo La Coruna"	0.204253
Tenerife	0.202238
Salamanca	0.195151
"Athletic Bilbao"	0.193505
Oviedo	0.175103
Salernitana	0.163758
Atletico	0.150056
Sevilla	0.148419
Mallorca	0.148073
Santander	0.145566
"Partizan Belgrade"	0.142007
"Real Betis"	0.140432
Bilbao	0.139392
Lecce	0.138566
Venezia	0.138138
"Celta Vigo"	0.136214
Watford	0.135586
"Atletico Madrid"	0.132325
Brondby	0.131648
Deportivo	0.127057
Bastia	0.124304
"Nottingham Forest"	0.116994
Valencia	0.116846
"Blackburn Rovers"	0.115914
Torino	0.110865
"Olympique Marseille"	0.110684
"Real Madrid"	0.109727
Charlton	0.107917
Piacenza	0.10517
Anderlecht	0.104393
"Sichuan Quanxing"	0.104177
"Coventry City"	0.10407
"VfL Wolfsburg"	0.103361
"Hertha Berlin"	0.103204
"Borussia Moenchengladbach"	0.103057
"Chinese Army"	0.102216
"Guangzhou Apollo"	0.102194
"Schalke @@"	0.101714
Penarol	0.100418
Sunderland	0.100248
Perugia	0.0991122
Rostock	0.0969758
"San Lorenzo"	0.0963167
Shenhua	0.0958704
Spartak	0.0952839
Andorra	0.0947786
Blackburn	0.0941799
Freiburg	0.0937878
Barnsley	0.0934735
Udinese	0.0926199
Sampdoria	0.0925675
Feyenoord	0.091673
"West Ham United"	0.0916005
Gremio	0.0915592
Cagliari	0.0907125
"American Chanda Rubin"	0.0898986
Metz	0.0893477
"Spartak Moscow"	0.0890367
Rosenborg	0.0877336
"Dalian Wanda"	0.0875073
Kaiserslautern	0.0870774
Empoli	0.0865688
Auxerre	0.0855228
"Crystal Palace"	0.0839522
Dundee	0.0834543
Everton	0.083318
"Boca Juniors"	0.0828979
Heerenveen	0.0823444
"Leicester City"	0.0823364
"Dynamo Kiev"	0.0819744
"Deportivo Coruna"	0.0816589
"Newcastle United"	0.0807623
"Shanghai Shenhua"	0.0804272
"Derby County"	0.0803827
"Paul Goldstein"	0.0801418
Independiente	0.0797345
Coventry	0.0796463
"VfB Stuttgart"	0.0794785
"Phenix City"	0.0789476
Tarango	0.0788128
"Leeds United"	0.0786569
Nacional	0.0785585
Duisburg	0.0783177
"Qingdao Hainiu"	0.0778891
"Rita Grande"	0.0778608
Besiktas	0.0774924
"Olympiakos Piraeus"	0.0773337
"Bradford City"	0.0758173
Internazionale	0.0754256
Hongyuan	0.0750493
"Joannette Kruger"	0.0749179
Luton	0.0746455
"Werder Bremen"	0.0746015
Raoux	0.073743
Montpellier	0.0736644
"Albert Portas"	0.0734963
"River Plate"	0.0734758
Middlesbrough	0.0734128
Leverkusen	0.0731071
"Sarah Pitkowski"	0.0725559
"Christian Ruud"	0.072457
"Colo Colo"	0.0724427
Fiorentina	0.0724308
"Jinan Taishan"	0.0723926
Hainiu	0.0723338
"Guangdong Hongyuan"	0.0719
Benfica	0.0718077
Schalken	0.0716619
Leicester	0.0716345
Wolfsburg	0.0715807
Fulham	0.0708044
Bruguera	0.0707924
"Adrian Voinea"	0.0707242
Olimpia	0.0705322
Schalke	0.0703522
"Sturm Graz"	0.0703094
"Velez Sarsfield"	0.0698229
"Nicole Pratt"	0.0697405
"Barbara Schwartz"	0.0697193
"Croatia Zagreb"	0.0695452
Maribor	0.0687618
Flamengo	0.0686969
Vicenza	0.0686416
Damm	0.0686285
"PSV Eindhoven"	0.0681619
Berasategui	0.0681045
"Tatiana Panova"	0.0677999
"Amy Frazier"	0.0676886
Porto	0.0676351
Panathinaikos	0.0672445
Vitoria	0.066864
Portsmouth	0.066842
"Andrei Pavel"	0.0667478
Zamalek	0.0666393
Blackhawks	0.0666109
Palmeiras	0.0664831
"Borussia Dortmund"	0.0663613
"Ajax Amsterdam"	0.0663287
"Steve Campbell"	0.0661034
"Arnaud Clement"	0.0654502
"Tottenham Hotspur"	0.0654471
"Kansas City Royals"	0.0653662
"Red Star"	0.0653034
corinthian	0.0652765
Habsudova	0.0651812
Edberg	0.0648427
Sato	0.0647597
Stoltenberg	0.0646106
Barcelona	0.064317
Nantes	0.0642956
Obilic	0.0642896
"Arnaud Di Pasquale"	0.0642566
Olympiakos	0.0642194
"Juan Antonio Marin"	0.0641548
Daiei	0.064027
"Netherlands Antilles"	0.0639396
"Younes El Aynaoui"	0.0635936
Testud	0.0631734
Bologna	0.0631223
"Anne Kremer"	0.0630819
"American Michael Chang"	0.0630304
"Scott Draper"	0.0626502
Buffaloes	0.0625985
"Hernan Gumy"	0.0625625
Dosedel	0.0624744
Lindland	0.0618887
Meligeni	0.0617745
Kashima	0.0617696
"Karim Alami"	0.0617672
"Neville Godwin"	0.0617395
"Bayer Leverkusen"	0.0617254
Southampton	0.0615894
"Alberto Costa"	0.0611462
Estudiantes	0.0611181
Dragomir	0.0610732
Norwich	0.0610611
"Sabine Appelmans"	0.0609566
Tottenham	0.0609132
PAOK	0.0605609
Yomiuri	0.0605109
"Oregon State"	0.060416
"Gianluca Pozzi"	0.0604005
"Washington Capitals"	0.0603932
"Asa Carlsson"	0.0602551
"Philadelphia Phillies"	0.0602515
"Glasgow Rangers"	0.0601478
Graz	0.0600671
"Hicham Arazi"	0.0600073
bearcat	0.0598532
"Albert Costa"	0.059727
"Brett Steven"	0.05972
Clavet	0.0597026
))
(alba (desc 1258.34) (sims
Hazzard	0.10783
"German capital"	0.0944483
Buckingham	0.0917464
Gloucester	0.0894585
Cornwall	0.0850484
York	0.0832552
Marlborough	0.0815881
Isaiah	0.0807996
Advani	0.079748
Wald	0.0764036
Bustamante	0.0715666
Savoy	0.0703387
"Dave McGinnis"	0.0695867
Orleans	0.0690297
LaPierre	0.0679275
Monmouth	0.0670441
Ruehe	0.0663196
Navarro	0.0661903
Lacey	0.0657726
Geiger	0.0644173
Neff	0.0643514
Grasso	0.0631498
Rubenstein	0.0612826
Mendocino	0.0604406
Marinovich	0.0602408
Lampkin	0.0600719
Ikeda	0.0595157
ISSEL	0.0585274
Rossotti	0.0583173
Braswell	0.0577537
Diouf	0.0573136
Singson	0.0571602
GAGE	0.0567549
Storin	0.0567213
Sheehan	0.0566385
Hawthorn	0.0561627
Cui	0.0559876
Finkel	0.0558816
Sutherland	0.0558289
Lehane	0.0558149
Fleischer	0.0555125
Hiddink	0.055166
Valle	0.0550421
Flanagan	0.0548413
Beazley	0.0547373
Conte	0.0545291
Dunleavy	0.0543978
Meguid	0.0543115
Portillo	0.0542616
Piot	0.0541952
Polian	0.0540527
"Borussia Moenchengladbach"	0.053847
Lindland	0.0537868
Alarcon	0.0535136
Kirkpatrick	0.0534824
Bettman	0.0531924
Gavin	0.0526954
mead	0.0523248
Hensley	0.0522552
Wolfson	0.0520548
Moonves	0.0520414
Hauser	0.0514507
McNulty	0.0513555
Eizenstat	0.0513313
"Larry Centers"	0.0512872
Hybl	0.0512211
Okada	0.0510901
Whitsitt	0.0509648
Cumberland	0.0508959
Chouinard	0.0508508
Kuhn	0.0508363
Maldini	0.0505689
Wenger	0.0505395
Sutter	0.0505052
wheeler	0.0504243
"San Cristobal"	0.0503944
Hidalgo	0.0502096
"New Carissa"	0.0501715
om	0.0501011
Boles	0.0501007
Kauffman	0.0500873
Inman	0.0499664
Patel	0.0499185
Valenti	0.0498917
Sussex	0.0498451
ACB	0.0496902
Villar	0.0496762
Troussier	0.0496754
Sonoma	0.0496468
Jauron	0.0496111
Gogel	0.0493532
Rowan	0.0493471
Monson	0.0492417
Cobb	0.0491559
Capel	0.0491543
Khalil	0.049148
hodgson	0.0488181
"Orlando Mercado"	0.0487168
Milbury	0.0487168
Leland	0.0486757
Kessler	0.0485208
Zucker	0.0483737
Difrancesco	0.0481364
Heinrichs	0.0479828
Ruggiero	0.0479405
Jarrell	0.0478121
"La Russa"	0.0476964
Conroy	0.0476837
Burt	0.0476823
Aventajado	0.0475951
Trepagnier	0.0475739
Hartley	0.0475451
Quintana	0.0475152
Beckwith	0.0474842
Dragila	0.0474043
Velayati	0.0471481
Echols	0.047078
Devine	0.0470665
Lieberthal	0.0469376
Bergeron	0.0468703
McGuire	0.0467027
Summitt	0.0466364
capella	0.0465846
alicia	0.0465172
Jobe	0.0465063
Ainge	0.0464055
Lamont	0.0463412
Morgenthau	0.0463176
Das	0.0462422
Steiner	0.0462338
Kupchak	0.0461756
"U.S. Defense Department"	0.0461716
Essex	0.0460395
Scharping	0.0460265
Najera	0.0460045
Fung	0.0459889
Constantinescu	0.0459707
Rubinstein	0.0458373
Sheng	0.0457497
Skiles	0.0457027
Danner	0.0455667
Meredith	0.0455578
Lorraine	0.0455421
Siazon	0.0455358
Aleman	0.0455216
Cink	0.0454726
Mikhailov	0.0454318
Wasserman	0.0454058
Mendez	0.0453935
Babcock	0.045215
Lipponen	0.0452121
Shula	0.0451473
Duffy	0.045065
Darnell	0.0450124
Gosper	0.0448758
McKenna	0.0447876
Carollo	0.0447483
Marineau	0.0447149
Vance	0.0445734
Inhofe	0.0443673
Rongen	0.0443585
Mott	0.0443241
Denton	0.0442989
Bullard	0.0442798
NY@@@-NY@@@	0.0440358
Meissner	0.0438564
Zhong	0.0438405
Granik	0.0438177
Vollebaek	0.0437724
Cowan	0.0437612
Werner	0.0436115
F.A	0.0436038
Ebersol	0.0435659
Herron	0.043526
Godfrey	0.0434972
Robson	0.043474
Rosales	0.0434647
Kyprianou	0.0434454
"Jamir Miller"	0.0433995
Munson	0.0433246
Stinnett	0.0432771
DiCarlo	0.0432405
Calvary	0.0432329
Walbeck	0.0431454
Calabria	0.0431005
"Lomas Brown"	0.0430924
Nickles	0.043088
Benedetti	0.0430642
Guthridge	0.0430392
Goossen	0.0430124
Hatteberg	0.0429971
Sato	0.0429754
Manley	0.0429477
Delahunt	0.0429111
Ratliff	0.0429007
Reinhardt	0.0428423
Weisman	0.0428029
Stoneman	0.0427705
Hagel	0.0427441
Ceballos	0.0426956
))
(Albania (desc 80442.8) (sims
Macedonia	0.279061
Yugoslavia	0.191215
Bosnia	0.186098
Kosovo	0.183103
Montenegro	0.178703
Serbia	0.178525
Turkey	0.170098
Bulgaria	0.170075
Zaire	0.16913
Croatia	0.168181
Afghanistan	0.167367
Greece	0.165862
Hungary	0.165692
Sudan	0.164513
Ukraine	0.162048
"Sierra Leone"	0.160362
Romania	0.159459
Angola	0.15789
Liberia	0.157342
Cambodia	0.153721
Congo	0.153578
Pakistan	0.152274
Tanzania	0.150314
Chechnya	0.147879
Russia	0.147436
Armenia	0.147269
Zambia	0.147267
Bosnia-Herzegovina	0.145915
Iraq	0.145079
Iran	0.144725
Lebanon	0.144573
Mozambique	0.144392
Poland	0.14415
Thailand	0.143905
Tajikistan	0.143671
Cyprus	0.143336
Republic	0.143198
Haiti	0.143121
Ethiopia	0.141545
"East Timor"	0.141125
Somalia	0.139423
Kenya	0.138237
Uganda	0.138181
Egypt	0.138172
Colombia	0.137576
Algeria	0.137185
Burundi	0.136063
Indonesia	0.134418
Kuwait	0.134274
Slovenia	0.132826
Lithuania	0.13242
Peru	0.132022
region	0.131849
Nicaragua	0.131447
Bangladesh	0.131235
Rwanda	0.131046
province	0.129559
Zimbabwe	0.129335
"South Africa"	0.129312
Namibia	0.128327
"Balkan country"	0.128272
Syria	0.127487
"Saudi Arabia"	0.127263
Germany	0.127155
Nigeria	0.126144
country	0.126011
Austria	0.125859
Balkans	0.12558
Mexico	0.125502
Eritrea	0.125004
Italy	0.12445
Moldova	0.124325
DRC	0.123958
Yemen	0.123735
Israel	0.122949
Lesotho	0.122782
Libya	0.122306
Venezuela	0.121523
"Sri Lanka"	0.121191
Nepal	0.120766
Azerbaijan	0.120634
India	0.120364
Uzbekistan	0.1201
Latvia	0.120075
Honduras	0.119764
Malaysia	0.11955
France	0.119249
Kazakhstan	0.11853
"West Timor"	0.118233
China	0.117557
BELGRADE	0.117294
Mongolia	0.117221
Kyrgyzstan	0.117219
Vietnam	0.116802
"African country"	0.116718
"South Korea"	0.116515
Slovakia	0.116477
Bahrain	0.115669
Belarus	0.114929
Panama	0.114891
Myanmar	0.114429
Guinea	0.113546
Estonia	0.112643
Switzerland	0.111485
Cuba	0.111101
Norway	0.110369
"African nation"	0.110321
Guatemala	0.110247
"Middle East"	0.109625
"North Korea"	0.109552
Belgium	0.109487
Botswana	0.109469
Ecuador	0.109452
Portugal	0.109446
Dagestan	0.109238
Canada	0.10904
Argentina	0.108835
Ghana	0.10738
Brazil	0.106602
"United States"	0.106594
Jordan	0.106562
Spain	0.106477
Japan	0.105797
Philippines	0.105686
"Northern Ireland"	0.105342
TIRANA	0.105006
Britain	0.104363
Georgia	0.104276
territory	0.10356
Laos	0.103549
Morocco	0.10321
Guinea-Bissau	0.103011
Pristina	0.102994
Ireland	0.102921
Taiwan	0.102491
Europe	0.102359
Africa	0.102055
Ingushetia	0.101749
"Czech Republic"	0.101471
"Balkan nation"	0.100743
Qatar	0.100671
Bolivia	0.100645
Tunisia	0.100571
"Federal Republic"	0.100255
"Persian Gulf"	0.100001
Iceland	0.099684
"Dominican Republic"	0.0994932
"Costa Rica"	0.0989772
Australia	0.0989109
Malta	0.0986977
Moscow	0.0983711
Chile	0.0977677
Senegal	0.0976758
Malawi	0.0971701
Singapore	0.0970263
Oman	0.0965035
Finland	0.0950613
"El Salvador"	0.0950077
Kingdom	0.094904
area	0.0947955
Luxembourg	0.094532
"Papua New Guinea"	0.0936462
DPRK	0.0936326
Sweden	0.0934006
Turkmenistan	0.0928136
Abkhazia	0.092241
Kinshasa	0.0921711
Netherlands	0.0916565
Uruguay	0.0910332
"Ivory Coast"	0.0910053
Baghdad	0.0908783
Tibet	0.0906128
Fiji	0.0904503
"Asian country"	0.0902013
"Hong Kong"	0.0899646
Denmark	0.0893511
"Democratic Republic of the Congo"	0.0892414
"European country"	0.0890813
Asia	0.0889775
Paraguay	0.0886847
village	0.0883759
Freetown	0.0876587
Sarajevo	0.0872537
Togo	0.0870878
BEIJING	0.0869455
Kabul	0.0865217
Djibouti	0.0861198
England	0.0858874
"Balkan state"	0.0857891
"Central American country"	0.0855232
Gulf	0.0847734
"New Zealand"	0.0845075
Palestine	0.0842626
nation	0.0841333
"Asian nation"	0.0834555
Korea	0.0833916
town	0.0830994
"Democratic Republic"	0.0828533
city	0.0828306
Gaza	0.0827447
))
(Albanian (desc 98799.1) (sims
Serbs	0.270778
"Kosovo Albanians"	0.263703
civilian	0.21466
"Kosovar Albanians"	0.20331
refugee	0.18925
Kosovars	0.183331
Muslim	0.183172
Palestinian	0.172172
rebel	0.172092
guerrilla	0.171097
KLA	0.165003
militant	0.160448
"Kosovo Liberation Army"	0.158256
separatist	0.158071
Kurds	0.15587
soldier	0.143271
Israeli	0.140399
Jew	0.140324
troop	0.1396
villager	0.139379
people	0.134938
Croats	0.131865
protester	0.131313
"Kosovo Albanian"	0.130585
Tutsis	0.129536
demonstrator	0.129155
settler	0.127593
Arab	0.127075
peacekeeper	0.125403
"East Timorese"	0.123839
resident	0.123535
immigrant	0.123225
Iraqi	0.12244
Turk	0.121828
Hutu	0.121437
citizen	0.121135
Tutsi	0.121104
Serb	0.120922
minority	0.120598
extremist	0.120485
Russian	0.118109
foreigner	0.117941
policemen	0.117807
Iranian	0.1169
terrorist	0.116241
christian	0.115717
force	0.11501
Kosovo	0.11473
Chechens	0.114202
"Ethnic Albanians"	0.113576
militia	0.112978
Hutus	0.112545
Yugoslav	0.112514
secessionist	0.11203
militiamen	0.111501
"security force"	0.109448
activist	0.10872
Taliban	0.107579
dissident	0.106546
worker	0.105836
Chinese	0.105714
Kurdish	0.105126
"Bosnian Muslims"	0.105113
Gypsy	0.104941
Catholic	0.104638
Rwandan	0.104609
insurgent	0.103855
student	0.103414
Lebanese	0.102823
"Albanian Kosovars"	0.102732
police	0.102691
fighter	0.102584
Milosevic	0.102506
farmer	0.102202
supporter	0.101942
American	0.101889
Armenians	0.101014
Ethiopian	0.100654
prisoner	0.100272
German	0.0998887
tourist	0.0997035
Haitian	0.0994448
Bosnians	0.0982263
migrant	0.0981334
inmate	0.0979396
Cambodian	0.0977613
NATO	0.0976289
Angolan	0.0972325
Tamil	0.0968516
Eritrean	0.0964666
Tibetans	0.096201
gunmen	0.0960444
Ugandan	0.0959877
"Greek Cypriots"	0.095713
member	0.0956538
majority	0.0954549
Somali	0.0951366
faction	0.0950555
nationalist	0.094213
Vietnamese	0.0936332
Hungarian	0.0932989
Cuban	0.0932479
woman	0.0931835
journalist	0.0924744
MILF	0.0921336
inhabitant	0.0918974
servicemen	0.0915034
population	0.0910984
Indonesian	0.091097
Serbia	0.0910836
hundred	0.0910817
youth	0.0909951
Protestant	0.0908415
"Kosovo Serbs"	0.090506
thousand	0.0902217
Moslem	0.0901057
"Sierra Leonean"	0.0896789
Montenegro	0.0894787
army	0.0892625
Pakistani	0.0892418
homeless	0.0890718
Chechen	0.0890663
victim	0.0886803
Kenyan	0.0886557
group	0.0884838
man	0.0884221
paramilitary	0.0881734
Bulgarian	0.0881523
child	0.0878872
Indian	0.0876457
Mexican	0.0875413
"ethnic group"	0.0873754
"Bosnian Serbs"	0.0872659
follower	0.0869237
Filipino	0.0868994
PKK	0.086542
national	0.0863804
Macedonian	0.0862281
Nigerian	0.0859163
passenger	0.0855612
peasant	0.0855036
Sudanese	0.0853311
Hijacker	0.085197
Yugoslavia	0.085115
Burundian	0.0850042
Shiite	0.0849193
Georgian	0.0848749
bandit	0.0847543
UNITA	0.0846032
Syrian	0.0845672
community	0.0845599
Hezbollah	0.0841979
Hindu	0.0839086
Greeks	0.0838205
Afghan	0.0836851
Colombian	0.083294
Kosovar	0.0831234
military	0.0829941
Fishermen	0.0825256
marcher	0.0823572
diplomat	0.082279
Mozambican	0.0822109
BELGRADE	0.082041
"Moro Islamic Liberation Front"	0.0819598
Serbian	0.0818589
"South African"	0.0817926
Republican	0.0817408
black	0.0816545
family	0.0814908
British	0.0814116
Japanese	0.0809605
miner	0.0809189
personnel	0.0808833
those	0.0808327
officer	0.0803796
"military personnel"	0.0802886
lawmaker	0.0800386
politician	0.0798681
Croat	0.0798528
pilgrim	0.0797968
"police officer"	0.0796605
criminal	0.0795709
government	0.0791791
"university student"	0.0790824
Sikh	0.0789894
Liberian	0.0787514
Italian	0.0786949
"Greek Cypriot"	0.0784177
leader	0.0784137
"Sri Lankans"	0.078407
Romanian	0.0783121
Albania	0.0781299
"North Koreans"	0.0780984
Israel	0.0780749
Jordanian	0.0780336
Hamas	0.0779827
businessmen	0.077899
ETA	0.0778498
Timorese	0.0777626
individual	0.0776491
))
("Albanian capital" (desc 1754.67) (sims
Srinagar	0.12204
"Egyptian capital"	0.112869
TIRANA	0.112009
Suva	0.105956
Vilnius	0.102445
Chisinau	0.0978433
Skopje	0.0949852
Makhachkala	0.0945632
Bangui	0.09454
Dushanbe	0.0940431
Monrovia	0.0884573
Brazzaville	0.0843829
Atambua	0.0843259
Bujumbura	0.0842457
Uvira	0.0837705
"Port Moresby"	0.0836071
Tbilisi	0.0826109
"Iranian capital"	0.0822783
Huambo	0.0811565
"Bashkim Fino"	0.0800002
Palembang	0.0799078
SANAA	0.0796529
Gaborone	0.0794625
"San Salvador"	0.0783078
Kismayu	0.0781028
"Gaza City"	0.0780302
Astana	0.0774408
Windhoek	0.0773333
Kigali	0.0769058
Hyderabad	0.074663
"Guatemala City"	0.0744568
Jayapura	0.0744127
Urosevac	0.0731039
Kissimmee	0.0725974
Mbabane	0.0722132
Asmara	0.0718404
"Sali Berisha"	0.0714876
Yerevan	0.0697366
MANAMA	0.0688945
Luanda	0.0687945
CARACAS	0.0675836
Quito	0.0673453
Pretoria	0.0671439
"Kigoma Region"	0.0667561
Redding	0.0667514
Belfast	0.0666656
Khartoum	0.0662399
Abidjan	0.0661411
Honiara	0.0660015
"Algerian capital"	0.0659269
Crimea	0.0653312
Tashkent	0.0645775
"Malaysian capital"	0.0645645
Clearwater	0.064464
Kismaio	0.0640482
Minsk	0.0637913
Peshawar	0.0637432
Riyadh	0.0636997
"Pulau Pinang"	0.0636851
LISBON	0.0627556
BOGOTA	0.0627157
Tapachula	0.0623617
Muscat	0.0617022
Kuching	0.0613882
MAPUTO	0.061362
Nogales	0.0609586
Conakry	0.0603349
"Pandeli Majko"	0.0600676
Bulawayo	0.0599052
"La Paz"	0.0595122
"Russian capital"	0.059389
Chennai	0.0584311
Mombasa	0.0584283
Naples	0.0583205
Ljubljana	0.0579634
"Demilitarized Zone"	0.057896
Izmit	0.0575869
Managua	0.0573851
"East Berlin"	0.0572744
Saigon	0.0571908
Kuito	0.0570411
Berne	0.0570396
Podgorica	0.0570175
Warri	0.0567898
Salzburg	0.056688
Merida	0.0563069
Dakar	0.0561994
BRATISLAVA	0.0561329
"San Pedro Sula"	0.0559741
Maseru	0.0558356
Lahore	0.0558251
Jammu	0.0556081
Kisangani	0.0551568
"Greek capital"	0.0550684
BUCHAREST	0.0549948
Lucknow	0.0546721
"Ulan Bator"	0.0546465
"Fort Myers"	0.0544613
Port-au-Prince	0.0544326
Kukes	0.0541845
Dili	0.0532898
Durres	0.0532072
"central city"	0.0528552
"Borough Park"	0.0528055
Duesseldorf	0.0526571
Kupang	0.0525037
Acapulco	0.0524151
Pailin	0.0524139
"Banja Luka"	0.0524039
Ambon	0.0523427
"KUWAIT CITY"	0.0521982
Accra	0.0521835
Bissau	0.0521117
Durban	0.0520702
Laramie	0.0520426
Bukavu	0.0518834
Mazar-e-Sharif	0.0518448
Marjayoun	0.051793
BLANTYRE	0.051766
Mankulam	0.0516928
Baku	0.0516517
Cartagena	0.0513182
"Bandar Seri Begawan"	0.0512334
Lhokseumawe	0.0511289
"Liberian capital"	0.0509218
Medellin	0.0505725
Holyoke	0.0505693
Tallinn	0.050559
Beira	0.0505503
Modesto	0.05039
Rabat	0.0503549
Guayaquil	0.0501959
Quetta	0.0500309
"Red River"	0.0499971
Riga	0.0498459
Jeddah	0.0498123
Darwin	0.0496949
Haicheng	0.0493145
Vientiane	0.049284
Davao	0.0491633
Golcuk	0.048987
"Ho Chi Minh City"	0.048974
Flagstaff	0.0488759
Nablus	0.0486086
Juneau	0.0485504
Kitgum	0.0484927
"PETALING JAYA"	0.0483192
Bangor	0.0481035
"Adriatic Sea"	0.0477103
BRASILIA	0.0476836
Bern	0.047677
Essen	0.0475916
"Balkan nation"	0.047449
"Nigerian capital"	0.0473664
"Cuban capital"	0.0472939
Lome	0.0471774
Asuncion	0.0470015
Gudermes	0.0469741
Ndola	0.0469087
"South Mogadishu"	0.0468556
Jalalabad	0.0468456
Murmansk	0.0466709
Nakuru	0.0466504
Halifax	0.0465495
Denpasar	0.0465457
Taloqan	0.0465376
TUNIS	0.0463573
Cairns	0.0462743
Midrand	0.0462167
"Lake Okeechobee"	0.0461731
Goma	0.0461489
"Tar River"	0.0460615
Bengkulu	0.045893
"Arctic Circle"	0.0457942
Dodoma	0.0457918
Sahara	0.0456365
Cebu	0.0456139
Ensenada	0.0454739
"North Ossetia"	0.0454345
"Port Said"	0.0454146
Kaduna	0.0453652
"Kosovska Mitrovica"	0.0453361
Mitrovica	0.0452641
Hispaniola	0.0452516
Marseilles	0.0452132
ZAGREB	0.0451503
Manado	0.0451086
"Saratoga Springs"	0.0450856
Paranthan	0.044939
"Twin Cities"	0.0448829
Pensacola	0.0447703
Mosul	0.044735
Bishkek	0.0447013
Assab	0.044604
Hialeah	0.0445508
Ramallah	0.0445298
Kowloon	0.0444544
Gulu	0.044323
"Everglades National Park"	0.0442083
Sidon	0.0441869
))
("Albanian Kosovars" (desc 1681.41) (sims
"Kosovar Albanians"	0.160111
"Kosovo Serbs"	0.156689
Kosovars	0.153725
"Kosovo Albanians"	0.14428
"Russian Jews"	0.141242
non-Serbs	0.134885
"Bosnian Muslims"	0.132728
holidaymaker	0.128643
Armenians	0.124634
Bosnians	0.123191
Eritrean	0.116325
"North Africans"	0.114172
Cambodian	0.110279
mainlanders	0.109298
"Iraqi Kurds"	0.108004
protestor	0.107985
"North Koreans"	0.107758
non-Albanians	0.106914
Ingush	0.104082
evacuee	0.103492
Burundian	0.101091
Angolan	0.0992481
mourner	0.098933
Tutsis	0.097532
motorcyclists	0.0968744
Chinese-Indonesians	0.0968531
Ethiopian	0.0966236
"Iranian POWs"	0.09648
worshipper	0.0958087
illegals	0.0953971
worshiper	0.0941433
deserter	0.0917606
Ghanaians	0.0896411
Tibetans	0.0895981
"Sri Lankans"	0.0891182
Hutus	0.0887595
Copt	0.0870418
businesspeople	0.0851494
Serbians	0.0844893
Vietnamese	0.0840217
Liberian	0.0839019
Londoner	0.0837603
"European Jews"	0.0833836
Beijingers	0.0827165
Nicaraguan	0.0826648
Lileikis	0.0825013
Timorese	0.0815083
Koreans	0.0812294
Muscovite	0.0810045
Kurds	0.0804934
Navajos	0.0804678
Haitian	0.0803884
Macedonian	0.080325
returnees	0.0800764
Georgian	0.0799506
VMs	0.0798916
"San Franciscans"	0.0798301
Chechens	0.079723
asylum-seekers	0.0796343
marcher	0.0795773
Sudanese	0.07943
Somali	0.0794272
Ecuadoreans	0.079341
job-seekers	0.0789399
Mozambican	0.0786671
"political dissident"	0.0784953
Congolese	0.0783416
Berber	0.0779445
reveler	0.0776538
Afghan	0.0774518
Rwandan	0.0773668
Ukrainians	0.0765866
Croats	0.0759816
emigrant	0.0758878
"East Timorese"	0.0757952
examinees	0.0757942
vacationer	0.0755629
Ugandan	0.0751225
Tutsi	0.0750668
Colombian	0.0749708
migrant	0.0749532
ex-combatants	0.0749228
pilgrim	0.0748161
Zairean	0.0740088
traveller	0.0735751
Hmong	0.0735724
adoptees	0.0728209
farmworkers	0.0722406
"Sierra Leonean"	0.0720887
"Albanian Kosovo Liberation Army"	0.0716568
"university student"	0.0714311
"census taker"	0.0711298
Guatemalan	0.070855
deportee	0.0704689
Salvadoran	0.0704413
squatter	0.0704256
Fijian	0.0699914
Shayler	0.0698655
Floridian	0.0698424
Hutu	0.0697589
"union member"	0.0697188
"Iraqi POWs"	0.0695199
Dawkins	0.069404
OFWs	0.0693487
inhabitant	0.0692445
Honduran	0.0687836
Cypriot	0.0687793
Bulgarian	0.068375
"department employee"	0.0679344
Turk	0.0673045
wrongdoer	0.0672899
"South Carolinian"	0.0672446
Namibian	0.0671724
reservist	0.0668791
centenarian	0.0665644
"South Koreans"	0.0664352
Malian	0.0660886
hatchlings	0.0659548
meatpackers	0.0659025
Nasrin	0.0658583
townspeople	0.0658506
egret	0.0656825
"Bosnian Croats"	0.0653542
Orangemen	0.0652467
Greeks	0.0649849
concertgoers	0.0648525
Bhutanese	0.0648026
depositor	0.0646812
Kalejs	0.064359
"North Carolinian"	0.0642001
Soyinka	0.063522
"coal miner"	0.0635135
registrant	0.0634086
Banyamulenge	0.0631631
hotspots	0.0631605
Tanzanian	0.0630917
miner	0.0628505
Kurth	0.0628189
backpackers	0.06278
Irishmen	0.0626666
"Greek Cypriots"	0.0625947
Hindu	0.0625933
"temporary worker"	0.0624633
Atlantans	0.0624494
schoolchildren	0.0624086
well-wisher	0.062404
"Koha Ditore"	0.0623713
hemophiliac	0.0622659
Uighurs	0.0616952
congregants	0.061604
"small farmer"	0.0615569
Bostonians	0.0615234
Tamil	0.0614863
Iowan	0.0612246
"Cuban Americans"	0.0610426
midshipmen	0.0610401
"Ethnic Albanians"	0.0607415
enumerators	0.0605664
laid-offs	0.0605112
policyholder	0.0604803
celebrant	0.0604158
herdsmen	0.0603222
"displaced person"	0.0602764
"William Walker"	0.0602602
Athenian	0.0601962
Northerner	0.0601885
steelworker	0.0599394
Cuban-Americans	0.0598307
"Orthodox Jews"	0.0598024
Taiwanese	0.0597037
Meteor	0.0595197
rioter	0.0595078
"Shiite Muslims"	0.0593845
busload	0.0592427
conventioneer	0.0588917
"fire fighter"	0.0587988
"Internet Service Providers"	0.0584018
Tendulkar	0.0582776
Bangladeshi	0.0582534
Imperatori	0.0582324
"domestic animal"	0.0580375
birder	0.0579426
fire-fighter	0.0579135
filmgoers	0.0574175
Parisian	0.0573623
Dominican	0.0573094
aftershock	0.0572817
Qatari	0.056936
Kurd	0.0566164
"heroin addict"	0.0566142
preschoolers	0.0563043
homebuyers	0.0562814
"dock worker"	0.0562233
seeker	0.0560592
"warm front"	0.0559788
Southerner	0.0559576
soliders	0.0558664
"sea turtle"	0.0557278
Slav	0.0557122
lawbreaker	0.0556516
))
("Albanian Kosovo Liberation Army" (desc 1454.98) (sims
"Kosovo Liberation Army"	0.175332
"Liberation Tigers"	0.165099
"Kurdistan Workers Party"	0.161002
"Polisario Front"	0.155801
"Hezbollah (Party"	0.155204
"Moro Islamic Liberation Front"	0.145132
"Zapatista National Liberation Army"	0.142897
"Tupac Amaru Revolutionary Movement"	0.12655
"Kurdish Workers"	0.122475
"Liberation Tigers of Tamil Eelam"	0.122338
KLA	0.120938
"Revolutionary Armed Forces"	0.119758
"National Liberation Army"	0.118647
"Indonesian Military"	0.111493
secessionist	0.110065
RRA	0.109273
"Congolese Rally"	0.106618
"Lebanese Hezbollah"	0.106614
"Indonesian Armed Forces"	0.106416
"Moro National Liberation Front"	0.105929
"Revolutionary United Front"	0.103163
"National Union for Total Independence"	0.101243
guerilla	0.0991933
"popular front"	0.0991648
Xanana	0.0986739
"Sudan People's Liberation Army"	0.0969044
"Islamic Resistance Movement"	0.0968551
mutineer	0.0934071
"Real IRA"	0.0921686
"South African National Defense Force"	0.0910994
"South Lebanon Army"	0.0901694
"Kurdish Workers Party"	0.0876167
"Armed Islamic Group"	0.0874564
"Abdul Malik"	0.0870744
mujahedeen	0.0869114
"Kosovo Albanians"	0.0864922
"Gaullist Rally"	0.0846245
"Islamic Jihad"	0.0840847
"Israeli Foreign Ministry"	0.0821807
Kamajors	0.0817142
"New People's Army"	0.0810956
"Allied Democratic Forces"	0.0796129
Macedonian	0.0795991
"National Democratic Front"	0.079464
"Northern Alliance"	0.0794306
"International Association of Machinists"	0.0793074
ETA	0.0781906
"Infantry Division"	0.0781098
"Virtue Party"	0.0773319
gendarmerie	0.0767072
LTTE	0.0765709
"Bosnian Serbs"	0.0763917
Wahhabis	0.0757605
"Rashid Dostum"	0.0754694
RUF	0.0754213
MILF	0.0753641
"Revolutionary Guards"	0.0750695
"General Committee"	0.0750493
"Democratic Front"	0.0749885
"Rwandan Patriotic Front"	0.074931
SLA	0.0748556
MNLF	0.0734873
"paramilitary organization"	0.0731297
"Orange Order"	0.0730879
"Southern Command"	0.0728034
"Lord's Resistance Army"	0.072377
"Albanian Kosovars"	0.0716568
"National League for Democracy"	0.0715043
"Electoral Commission"	0.0712165
KNU	0.0711916
"Democratic Progressive Party"	0.0711157
"Abu Sayyaf"	0.071071
"Parti Quebecois"	0.0704662
"Patriotic Union of Kurdistan"	0.0703723
insurgent	0.0703474
Sandinistas	0.0690571
Hamas	0.0687955
"Church of Jesus Christ of Latter-day Saints"	0.0685781
"Irish Republican Army"	0.06853
Kurd	0.0684706
"Association of Flight Attendants"	0.0679719
"Koha Ditore"	0.0671896
"Nationalist Party"	0.0670747
UNITA	0.0665704
Ruelas	0.0665079
"South Lebanese Army"	0.0658364
"Iranian Foreign Ministry"	0.0653891
"Anlong Veng"	0.0650587
"Log Cabin Republicans"	0.0650107
squatter	0.0649333
"Implementation Force"	0.0648686
Latvians	0.0647375
"British Empire"	0.0646778
"Democratic Alliance"	0.0646141
"National Election Committee"	0.0645838
"Home Ministry"	0.0644437
"Roosevelt Johnson"	0.0644241
Banyamulenge	0.0642572
NCEC	0.0641686
"Legion of Honor"	0.0641652
TNI	0.0641239
"World Church"	0.0636751
"Bosnian Croats"	0.0634433
"National Gambling Impact Study Commission"	0.063406
"Special Forces"	0.0633147
splintering	0.0627375
"Turkish Foreign Ministry"	0.0626684
"Khmer Rouge"	0.0626326
Amal	0.062564
UUP	0.0624983
blinder	0.0624822
"United Nations High Commission for Refugees"	0.0624183
"Inkatha Freedom Party"	0.0621626
Advani	0.0621359
"Kosovar Albanians"	0.062134
insurgency	0.0621041
"US Congress"	0.0619355
"American Legion"	0.0618277
provincialism	0.061736
fire-fighter	0.0614918
"Iraqi National Congress"	0.0614264
"Royal Ulster Constabulary"	0.0613918
SPLA	0.0611959
"Commission on Presidential Debates"	0.0610171
"U.S. Army Corps of Engineers"	0.0607284
cavalry	0.0604605
Tsvangirai	0.060313
"Israeli Knesset"	0.060246
"Kosovo Verification Mission"	0.0602286
Kailahun	0.0600619
Musa	0.0600158
Wamba	0.0598187
Masood	0.0596435
Ijaw	0.0595321
PUK	0.059409
KPA	0.0593592
"National Police"	0.0592814
"French Foreign Ministry"	0.0592095
"Black Panthers"	0.0591888
"Independent National Electoral Commission"	0.0590741
MQM	0.0589686
"Allied Pilots Association"	0.0589248
Ruthardt	0.058784
"Shiite Muslims"	0.0586475
"Islamic Movement"	0.0585556
"Rahanwein Resistance Army"	0.0584343
"Delta Force"	0.0583589
SFOR	0.0582446
Bhattarai	0.0578275
CEC	0.0576708
"Kosovo Information Center"	0.0576594
Spyridon	0.0575328
Tamil	0.0573769
"Di Canio"	0.0571405
"National Guard"	0.0569949
"Kurdistan Democratic Party"	0.0569627
paramilitary	0.0569263
"Islamic Revolution Guards Corps"	0.0566516
Zacarias	0.056636
Dostum	0.0565714
Regiment	0.0563759
beamer	0.0563296
"Royal Canadian Mounted Police"	0.0563188
"naval forces"	0.0562179
Patel	0.0561951
Aidid	0.0560225
"high command"	0.0559721
Potvin	0.0559583
Uighurs	0.0559555
"Zimbabwe African National Union-Patriotic Front"	0.0558837
proletariat	0.0558614
"U.N. Mission"	0.0558317
Diouf	0.0558291
"Ulster Unionists"	0.0556315
"Supreme Council"	0.0556037
"Israeli Defense Forces"	0.055522
"Superintendent Ruben Zacarias"	0.0554896
EX-COMMUNISTS	0.0554018
"National Union"	0.0553929
"Russian Defense Ministry"	0.0553482
"Democratic Unionist Party"	0.0553397
"Civic Democratic Party"	0.055291
GIA	0.0551423
IRGC	0.0550786
FALN	0.0550328
provocateurs	0.0549125
Zairean	0.0548717
Hmong	0.054859
"Gulbuddin Hekmatyar"	0.054733
"Northern Fleet"	0.0547122
"Islamic Revolutionary Guards Corps"	0.0543996
sympathizer	0.0542694
"Self-Defense Forces"	0.0542482
Summitt	0.0541762
"pressure group"	0.054175
"Constitutional Council"	0.0540691
"U.S. Soccer Federation"	0.0540386
"Liberation Front"	0.053969
PKK	0.0539684
"Serbian Renewal Movement"	0.053892
))
(Albany (desc 35808.7) (sims
Rochester	0.175942
Binghamton	0.172408
Newark	0.153144
Austin	0.148369
"San Francisco"	0.144529
"West Palm Beach"	0.14217
Tampa	0.141917
"Los Angeles"	0.141066
"White Plains"	0.139818
"Fort Worth"	0.13935
Chicago	0.139248
Charleston	0.139128
Boston	0.139109
TRENTON	0.137114
Hartford	0.136648
Columbus	0.136197
"Little Rock"	0.135371
Buffalo	0.133928
"New York City"	0.132184
Minneapolis	0.131922
Wilmington	0.131067
Dallas	0.130001
Sacramento	0.129899
Syracuse	0.129835
Baltimore	0.129235
Raleigh	0.129067
Philadelphia	0.128855
"Des Moines"	0.128819
Phoenix	0.128529
"New Orleans"	0.128386
Tucson	0.128047
Honolulu	0.12783
"New Haven"	0.127662
"San Antonio"	0.127261
"Mexico City"	0.12687
Atlanta	0.126685
Yonkers	0.125759
Seattle	0.12571
TALLAHASSEE	0.125374
Denver	0.124012
Washington	0.122835
Miami	0.122783
"Kansas City"	0.121279
Houston	0.120685
Nashville	0.120501
Portland	0.119703
"San Diego"	0.119277
Birmingham	0.11901
"St. Petersburg"	0.118766
Brooklyn	0.118626
"New York"	0.118585
Greenville	0.118495
"Fort Lauderdale"	0.11836
Springfield	0.117986
Albuquerque	0.117699
Richmond	0.116698
Memphis	0.116364
BOGOTA	0.116149
"San Jose"	0.115881
Detroit	0.11457
"El Paso"	0.114362
"Las Vegas"	0.114287
Providence	0.113751
Worcester	0.113586
Belfast	0.11351
Utica	0.113445
Orlando	0.113321
Macon	0.111436
Manhattan	0.111213
Savannah	0.110036
"Tel Aviv"	0.109939
Dayton	0.109929
"St. Louis"	0.109083
"Oklahoma City"	0.10887
Indianapolis	0.108646
Cincinnati	0.107115
Havana	0.107089
LONDON	0.106898
Pasadena	0.106586
"Baton Rouge"	0.106526
Concord	0.106503
Louisville	0.10585
Pittsburgh	0.105573
"Cape Town"	0.105528
Spokane	0.105295
Paris	0.105084
Alexandria	0.10503
"Palo Alto"	0.105
Schenectady	0.103306
"San Juan"	0.103155
Fresno	0.102943
"New Jersey"	0.102869
"Salt Lake City"	0.102627
Arlington	0.102619
Jasper	0.102366
Montreal	0.101981
CARACAS	0.101902
Poughkeepsie	0.101365
Manchester	0.101262
Moscow	0.101211
Pristina	0.101205
Cambridge	0.101198
Dublin	0.100992
"Jersey City"	0.100772
Akron	0.100536
anchorage	0.100239
Berlin	0.0999486
"Santa Monica"	0.0996998
Milwaukee	0.0991219
Omaha	0.0989947
Rome	0.0989741
Brownsville	0.0988289
Tokyo	0.0984119
Taipei	0.09828
Topeka	0.0982598
"Buenos Aires"	0.0981268
"Long Beach"	0.0979982
Gainesville	0.0972671
SEOUL	0.0972433
"Long Island"	0.0969982
MELBOURNE	0.0968396
CAIRO	0.0965627
JOHANNESBURG	0.0958362
BUDAPEST	0.0954535
Norfolk	0.0953911
Cleveland	0.0952638
ATHENS	0.0952424
"Guatemala City"	0.0951821
Toronto	0.0950195
Watertown	0.0946639
Lubbock	0.0945416
"Westchester County"	0.0940347
Stamford	0.0937173
"Corpus Christi"	0.0932294
Naples	0.0932286
Hempstead	0.0928597
Vancouver	0.09264
Ithaca	0.0922036
Chattanooga	0.0918839
"Quebec City"	0.0918327
Amarillo	0.0918202
Pretoria	0.0916436
Charlotte	0.0915894
"The Bronx"	0.0915515
"Grand Rapids"	0.091388
Geneva	0.0913002
Elmira	0.091254
"St. Paul"	0.0911835
L.A	0.0910389
"Washington D.C."	0.0909413
Hanover	0.0908711
Bridgeport	0.0906999
Istanbul	0.0904048
Westchester	0.0903631
"Kuala Lumpur"	0.0898658
Wichita	0.0898498
"Gaza City"	0.0897945
California	0.0897215
Connecticut	0.0896992
"Sao Paulo"	0.0896275
Berkeley	0.0894638
"Atlantic City"	0.089362
ASHEVILLE	0.0893251
Amman	0.0891249
Huntsville	0.0887824
"Santa Fe"	0.088267
Waco	0.0882462
Burlington	0.0882116
Vienna	0.0881716
Columbia	0.0880899
D.C.	0.0878682
Prague	0.0877211
Augusta	0.0876676
Madrid	0.0875671
Boise	0.087438
"Phnom Penh"	0.0873773
Lima	0.0872075
"Saratoga Springs"	0.0871376
BUCHAREST	0.0871354
KAMPALA	0.0870657
Port-au-Prince	0.0869261
WARSAW	0.0868773
Beaumont	0.0867136
Santiago	0.0866578
LAKEWOOD	0.0864757
Harrisburg	0.0864756
Texarkana	0.0864701
Knoxville	0.086446
"Santo Domingo"	0.0860176
Nashua	0.0859826
Laredo	0.0859758
Lexington	0.0858847
Decatur	0.0858538
Acapulco	0.085708
Tbilisi	0.0856787
"Palm Beach"	0.0855721
"Daytona Beach"	0.0854869
Brunswick	0.0854826
Portsmouth	0.0853834
Greenwich	0.085302
))
("Albany County" (desc 1243.52) (sims
"Jasper County"	0.344194
"Dutchess County"	0.314175
"Riverside County"	0.260858
"Travis County"	0.245554
"Dallas County"	0.243495
"Essex County"	0.239147
"Harris County"	0.233755
"Fulton County"	0.232179
"Jefferson County"	0.229652
"Maricopa County"	0.218676
"Williamson County"	0.216398
"Monroe County"	0.215819
"Erie County"	0.210028
"Ventura County"	0.209016
"Montgomery County"	0.207233
"Madison County"	0.205624
"Santa Clara County"	0.20456
"Suffolk County"	0.203829
"Gwinnett County"	0.192642
"Johnson County"	0.192067
"Jackson County"	0.189002
"Tarrant County"	0.18
"Warren County"	0.176074
"Rockdale County"	0.168639
Middlesex	0.168483
"Fayette County"	0.157707
"San Diego County"	0.153495
"Nassau County"	0.153044
"Cook County"	0.150398
"King County"	0.14521
"Bergen County"	0.140766
Hattiesburg	0.135722
"Los Angeles County"	0.134537
"Monmouth County"	0.13161
"Broward County"	0.130045
"Wyandotte County"	0.12039
"Cobb County"	0.119476
"Westchester County"	0.111615
"DeKalb County"	0.109947
Miami-Dade	0.109469
"Flagler County"	0.103666
Jasper	0.102357
Suffolk	0.100881
"Orange County"	0.0953856
Rockdale	0.0898161
Fulton	0.0890328
"Sonoma County"	0.0884193
"Putnam County"	0.0881983
Mannheim	0.0862685
"Miami-Dade County"	0.08554
"Rockland County"	0.0852816
Aiken	0.0824127
Essen	0.0822779
"federal district"	0.0819937
Montpelier	0.0819443
"Woodland Hills"	0.0812774
Bronx	0.0807769
"Marin County"	0.0788005
"Dade County"	0.0778594
Poughkeepsie	0.0744385
"Palm Beach County"	0.0738707
Westfield	0.0725152
"Israeli Arab"	0.071041
DeKalb	0.0706832
Gwinnett	0.0704972
Westchester	0.068953
"Sun City"	0.0685345
Laramie	0.067117
"Pitt County"	0.0670179
Nassau	0.0665928
"Fairfax County"	0.0659692
"East Boston"	0.0658425
Encino	0.0630193
"Coral Gables"	0.0623881
Hackensack	0.0622257
Essex	0.06186
"South Texas"	0.0618517
"Santa Barbara"	0.0617157
"El Paso"	0.0615114
SAFY	0.0613709
SCI	0.0610319
"District of Columbia"	0.060364
"Newport Beach"	0.0589363
Montgomery	0.0587579
"Quebec City"	0.0574118
"Greater Boston"	0.0556082
Chattanooga	0.0552471
Hague	0.0547286
"Thousand Oaks"	0.0545495
Sutter	0.0543617
"NBA Draft"	0.053497
"San Mateo"	0.053276
Longview	0.0532039
ADM	0.0531428
Schenectady	0.0527971
"East Texas"	0.0527771
Framingham	0.0523839
"District Court"	0.0517368
Windham	0.051539
"Union City"	0.0511496
Cobb	0.0510671
Norfolk	0.0509696
Laredo	0.0509292
Broward	0.0506244
AHP	0.0504172
PALERMO	0.0499797
Bridgeport	0.0498478
"Round Rock"	0.0493946
"Asian American"	0.0493713
Calabasas	0.0492281
Tarzana	0.0492183
Downstate	0.0490297
Brunswick	0.049026
"Hollywood Hills"	0.0488891
Latvian	0.0484739
riverside	0.0483506
"San Marcos"	0.0478413
"Cherry Hill"	0.0478316
AOC	0.0475805
Beaumont	0.0473061
"San Fernando"	0.0473036
Mayberry	0.0471785
Lancaster	0.0470495
Astoria	0.046693
"Baton Rouge"	0.0464038
Harlingen	0.0463741
"about @@.@ million"	0.0456033
Princeville	0.0455397
"line of fire"	0.0454068
Nablus	0.045028
Pensacola	0.0448251
"Studio City"	0.0445545
Vladivostok	0.0444611
"Virginia Beach"	0.0441212
"Rikers Island"	0.0440373
Wellesley	0.0439284
"Orthodox Jewish"	0.0437587
"Mount Lebanon"	0.0437215
Davidian	0.0433135
"La Paz"	0.0427981
Reseda	0.0426109
"Nippon Credit"	0.0424252
Vladikavkaz	0.0424128
absentia	0.0422901
"Northern Virginia"	0.042276
Taleban	0.0420574
Fayetteville	0.0420006
"juvenile court"	0.0417994
Nogales	0.0417816
Ridgewood	0.0417711
"Family Court"	0.0416912
Woodside	0.0416762
"College Park"	0.041654
Gainesville	0.0415203
"Gaza City"	0.0413501
Texarkana	0.0413262
"Iranian capital"	0.0412241
Pyrenees	0.0410023
showplace	0.04065
"Irish Catholic"	0.0406346
"Park Slope"	0.0405528
Tempe	0.0403913
Pd	0.0403424
Rockville	0.0402174
Brookline	0.0400005
))
("Albany Medical Center" (desc 1147.35) (sims
"Beth Israel Deaconess Medical Center"	0.253046
Brigham	0.228769
"Massachusetts General Hospital"	0.205673
"Baylor College of Medicine"	0.183807
"Cleveland Clinic"	0.155599
"Dana-Farber Cancer Institute"	0.142532
"Memorial Sloan-Kettering Cancer Center"	0.142469
"Harvard Medical School"	0.138688
"University of Cincinnati"	0.121353
Dana-Farber	0.121268
"school of medicine"	0.119862
MGH	0.1164
"Texas Tech University"	0.113108
"Mayo Clinic"	0.11202
"Georgia State University"	0.103186
"Vanderbilt University"	0.100328
"University Hospital"	0.0988215
"Emory University"	0.0937001
"medical center"	0.0927486
"University of Alabama"	0.0926527
"University of Nevada"	0.0920973
"Harvard School of Public Health"	0.0898002
"Mount Sinai Medical Center"	0.0889315
"University of Toronto"	0.0864677
Grady	0.0859275
"University of North Carolina"	0.0847396
"Mercy Hospital"	0.0817948
"Piedmont Hospital"	0.0800474
UCSF	0.0791914
"Methodist Hospital"	0.0784577
"Tufts University"	0.0739313
"Mount Sinai Hospital"	0.0689924
"field hospital"	0.0687306
"Baylor University"	0.0671515
"Purdue University"	0.0659885
"Mount Sinai"	0.0641607
"University of Oklahoma"	0.0636137
"Washington University"	0.0632306
"University of Arizona"	0.0612105
"St. Luke"	0.0587382
"First Baptist Church"	0.0584076
"University of Rochester"	0.057832
"University of Pennsylvania"	0.057731
"George Mason University"	0.05727
"General Hospital"	0.0571301
"University of Iowa"	0.0558937
"Pennsylvania State University"	0.0557341
"University of Minnesota"	0.0556604
"Johnson Space Center"	0.0549888
"Dartmouth College"	0.0540273
"University of Kansas"	0.0534025
"University of Washington"	0.052758
"University of Dayton"	0.0518475
"North Carolina State University"	0.0516563
"Auburn University"	0.0515446
"Johns Hopkins"	0.0509911
"military hospital"	0.0504744
"Ohio State University"	0.0501063
"Wharton School"	0.0498446
"Louisiana State University"	0.0493037
"University of New Mexico"	0.049121
"Cornell University"	0.0489361
Emory	0.0487058
UD	0.0484113
"University of Utah"	0.0482508
"National Press Club"	0.047337
"University of Pittsburgh"	0.0472327
"Jewish Community Center"	0.0465443
"BBDO New York"	0.0462871
"psychiatric hospital"	0.0462757
"University of Massachusetts"	0.0459828
"British High Commission"	0.04578
"Oak Ridge"	0.0454752
"National Cancer Institute"	0.0452713
"University of Illinois"	0.0443234
"Harvard Law School"	0.0441675
"Center for Science"	0.0441362
"Convention Center"	0.0440251
"Johns Hopkins University"	0.0421374
"Yale Law School"	0.0420469
"Ritz-Carlton Hotel"	0.0420465
"State University of New York"	0.0418604
"Toys R Us"	0.0416919
"Fortune Global Forum"	0.0416507
"University of Connecticut"	0.0410797
Xanana	0.0409895
"Wright-Patterson Air Force Base"	0.0407867
"Iowa State University"	0.0403155
Whitacre	0.0402063
))
(albatross (desc 3724.08) (sims
millstone	0.105326
noose	0.0873959
amphibian	0.0738277
"right whale"	0.0689296
"hot potato"	0.0677967
"humpback whale"	0.0638212
moth	0.0633056
peregrine	0.0622759
grownup	0.062024
pinata	0.0611891
lemming	0.0607501
tern	0.06037
Pelican	0.0597931
tarpon	0.0591984
"blue whale"	0.0590286
mammal	0.0588563
seabird	0.057221
egret	0.0568937
"trial balloon"	0.0553387
"mushroom cloud"	0.0550109
"boxing glove"	0.0543888
"sea turtle"	0.0540995
"white elephant"	0.053987
"cash cow"	0.0530733
"census taker"	0.0524404
letdown	0.0521105
"wedding party"	0.0516987
"question mark"	0.0516052
"sea gull"	0.0515333
"Big Bird"	0.051343
skydiver	0.0513301
"sea lion"	0.0512737
"guardian angel"	0.0508927
crucifix	0.0508922
"mountain gorilla"	0.0508754
walrus	0.0504934
dragonfly	0.0504686
turbot	0.0503813
"rare bird"	0.0503517
"black person"	0.0503358
"bald eagle"	0.0503
sinkhole	0.0501378
"electrical device"	0.0500245
"golden eagle"	0.0500081
"storm cloud"	0.0499461
abattoir	0.0498093
obstructionist	0.0497898
no-brainer	0.0492043
vertebrate	0.049101
"matinee idol"	0.0490556
Vulture	0.0487839
"cause celebre"	0.0487747
balloonist	0.0485217
"bank failure"	0.0483229
"measuring stick"	0.048236
"American plane"	0.0482225
pressman	0.0478286
"pain in the neck"	0.0477574
"ocean liner"	0.0477388
"old lady"	0.0476361
"big leaguer"	0.0474318
"sea horse"	0.0470471
"gray whale"	0.0470229
turtle	0.0468579
firsts	0.046689
woodpecker	0.0465832
crapshoot	0.0464211
copout	0.0463263
stumping	0.0463219
sac	0.0461097
cockroach	0.0460591
dampness	0.0459926
owl	0.0458458
"marine animal"	0.0457891
"oil slick"	0.0457631
antelope	0.0457554
"black bear"	0.0457456
reptile	0.0453338
"black flag"	0.0452465
Condor	0.0450403
Learjet	0.0448992
lemur	0.0448509
"white flag"	0.0448217
critters	0.0446259
"Bengal tiger"	0.0442375
songbird	0.044116
quagmire	0.044085
parrot	0.0440841
ogre	0.0439824
"polar bear"	0.04395
transient	0.0439137
stork	0.0438214
panda	0.0437774
"police boat"	0.0437722
scaffolding	0.0436491
"sea bird"	0.0435333
"takeover target"	0.0434429
taboo	0.0434135
commotion	0.043411
hummingbird	0.0433766
"first pitcher"	0.0429524
zeppelin	0.042676
desperado	0.0425604
"borrowing cost"	0.0425228
knapsack	0.042475
spokespeople	0.0424593
Judas	0.0424205
"grocery bag"	0.0424177
yoke	0.0424169
poking	0.0422154
"pressure group"	0.0421973
deer	0.0421655
geese	0.0421324
bottleneck	0.0420638
orangutan	0.0419562
spider	0.0418742
"strong force"	0.0418433
Meteor	0.0415703
pantyhose	0.0413973
WASP	0.0413422
"safety belt"	0.0412894
earthworm	0.0412852
surrogate	0.0412638
pigeon	0.041249
extraterrestrial	0.0412264
"double agent"	0.0411018
militiaman	0.0410495
icicle	0.0408625
swan	0.0407933
"air bubble"	0.0407349
porpoise	0.0406992
win-win	0.0406512
supplicant	0.0406511
brassiere	0.0406204
"subatomic particle"	0.0406197
non-issue	0.0405698
quandary	0.0405307
"Hail Mary"	0.0405288
"wonder drug"	0.0405055
asteroid	0.0404742
flamingo	0.040437
"admission price"	0.0402985
"end run"	0.0402874
"electronic database"	0.0402589
"shooting star"	0.0402365
BBOX	0.0402009
"Little Dog"	0.040007
))
(Albert (desc 10744.9) (sims
Edward	0.106779
Gerald	0.0979313
Phillip	0.0974684
Louis	0.094027
William	0.0931799
Richard	0.0910412
Charles	0.0908253
Andrew	0.0906518
Brian	0.0886305
Steven	0.0861181
Alan	0.085718
Jeb	0.0846344
Philip	0.0839772
Hamzah	0.0838856
Alfred	0.08333
Joseph	0.0833242
Michael	0.0830267
Barry	0.082815
Henry	0.0825027
Carl	0.0823924
Steve	0.0823733
Anthony	0.0820808
Ronald	0.0814994
Walter	0.0809866
Paul	0.0808304
Manuel	0.080791
Ted	0.080451
Gary	0.0803528
Robert	0.0799477
Nicolas	0.0795823
David	0.0792984
Jim	0.0792101
Juan	0.0779496
Kenny	0.07792
Craig	0.0778687
Randy	0.0777985
Wayne	0.0775168
Carlos	0.0771605
Scott	0.0770887
Liam	0.0768905
Byron	0.0763674
Gerard	0.0760818
Daniel	0.0757258
Ramon	0.0754311
Keith	0.074411
Terry	0.0742757
Marvin	0.0739885
Nicholas	0.0737901
Fred	0.0736864
Theo	0.0729543
Roger	0.0729112
Patrick	0.0727565
Stephen	0.0725636
James	0.072528
Jimmy	0.072511
Peter	0.0725095
Kenneth	0.0724193
Chris	0.0724015
Karl	0.0723243
Donald	0.0719004
"John Jr."	0.0717461
Phil	0.0717154
Hugh	0.0716773
Jeff	0.0711336
Ralph	0.0709215
Andrei	0.0705801
Brendan	0.0705493
Kevin	0.0704955
Frank	0.0703949
Harrick	0.0701912
Owen	0.0701009
Arthur	0.0700294
Jonathan	0.0699313
Doug	0.0699288
Marty	0.0698432
Danny	0.0696175
mike	0.0695781
Eric	0.0695776
Brett	0.0695045
Bruce	0.0693605
Jose	0.0693189
Harry	0.0690956
Adrian	0.0690854
Matthew	0.0690453
Larry	0.0690293
Jamie	0.0688698
Greg	0.068724
Sam	0.0683959
don	0.0683469
Justin	0.0683429
Claude	0.0682281
Bobby	0.0682238
tom	0.0681513
Flaherty	0.0681139
Dan	0.0680921
John	0.0680577
Casey	0.0680297
Tim	0.0677065
Alexander	0.0675786
Dave	0.0675522
Todd	0.0667499
Brandon	0.0666414
Samuel	0.0664335
Harold	0.0661673
Frederick	0.0661267
BOB	0.0660226
George	0.0653548
"Earl Spencer"	0.064962
Christopher	0.064897
Ron	0.0646191
Ed	0.0643559
Howard	0.0643085
Thomas	0.0642559
Vladimir	0.0640133
Sean	0.0634213
Andy	0.0633798
dick	0.0633785
Hassan	0.0633699
Noel	0.0633494
Dobbs	0.0632707
Eddie	0.0627905
Evan	0.0627808
Michel	0.0626265
Norman	0.0623569
Jackie	0.0621575
Leo	0.0620215
Dominic	0.0620029
Neil	0.0619226
Luis	0.0618723
Jeremy	0.0618572
Antonio	0.0616924
Leonard	0.0614323
Schottenheimer	0.0612438
Arnold	0.0611663
Ben	0.0611293
Billy	0.0609428
Brock	0.0608524
Dowd	0.0608338
Burke	0.0606777
Rick	0.0606585
jack	0.0606304
Jason	0.0605116
Joshua	0.0604725
Reggie	0.0604476
Josh	0.060441
Maurice	0.0603108
Jerry	0.0602396
Wohlers	0.0601603
Blake	0.0601155
Alex	0.0600496
Vincent	0.0592508
Ernest	0.0592339
Brooks	0.0591308
Briscoe	0.059007
Hans	0.0589165
matt	0.0589094
Jacob	0.0588704
Roberto	0.058459
Rhodes	0.0583884
Glenn	0.0583238
Adam	0.0582214
Ivan	0.0582095
Ernie	0.058054
"George W."	0.0580188
Dennis	0.0578968
Joey	0.0578742
Edgar	0.0578521
Raymond	0.0578452
Ken	0.0578215
Rupert	0.0575271
Benjamin	0.0570715
Mario	0.0570472
Charlie	0.0568806
leeson	0.0567577
Layden	0.0566821
Torre	0.0565671
sandy	0.0565449
Rene	0.056508
Holtz	0.0563835
Gilbert	0.0562764
Johnston	0.0562589
Barnett	0.056252
Luke	0.0562356
Rodionov	0.0561798
Oliver	0.0561174
Allan	0.0561086
Cody	0.0560133
"Parker Bowles"	0.0560102
Cooke	0.0559541
Simon	0.0558916
Curtis	0.0558554
Julian	0.055846
Ross	0.0556864
Pedro	0.0556749
Jorge	0.0555566
Lloyd	0.055395
Rifaat	0.055362
"John Paul"	0.0553559
Mendez	0.0553315
"Dale Jr."	0.0552859
))
("Albert Belle" (desc 10538.5) (sims
"B.J Surhoff"	0.27034
"Harold Baines"	0.239514
"Mike Bordick"	0.224198
"Brady Anderson"	0.222375
"Frank Thomas"	0.20991
"Magglio Ordonez"	0.205984
"Delino DeShields"	0.205302
"Cal Ripken"	0.200688
"Will Clark"	0.184781
"Eric Davis"	0.183177
"Roberto Alomar"	0.179398
"Gary Sheffield"	0.170485
"Carlos Lee"	0.168901
"Barry Bonds"	0.168438
belle	0.168271
"Tony Gwynn"	0.167467
"Jeff Conine"	0.165455
"Rafael Palmeiro"	0.164977
"Bernie Williams"	0.164757
"Manny Ramirez"	0.163198
"Jose Canseco"	0.162362
"Juan Gonzalez"	0.16214
"Robin Ventura"	0.161339
"Jim Thome"	0.157341
"Ken Griffey Jr."	0.155584
"Mo Vaughn"	0.155285
Surhoff	0.152558
"Vladimir Guerrero"	0.151181
"Ron Gant"	0.147453
"Brian Jordan"	0.147154
"Bobby Bonilla"	0.145862
"Ray Lankford"	0.145036
"Mike Piazza"	0.140286
"Matt Lawton"	0.139969
"Ivan Rodriguez"	0.139785
"Rickey Henderson"	0.139258
"Charles Johnson"	0.138956
"Alex Rodriguez"	0.137269
"Joe Carter"	0.137034
"Shawn Green"	0.136917
"Cliff Floyd"	0.136302
"Dante Bichette"	0.135857
"Danny Bautista"	0.135543
"Fred McGriff"	0.135474
"Richie Sexson"	0.135125
"Greg Vaughn"	0.134387
"Jermaine Dye"	0.131791
"Larry Walker"	0.131172
"Derek Jeter"	0.130391
"Scott Erickson"	0.128374
"Rondell White"	0.128107
Fullmer	0.127693
"Sammy Sosa"	0.127381
"Jose Valentin"	0.127368
"Geoff Jenkins"	0.126815
"Ben Grieve"	0.126682
"Moises Alou"	0.126584
"Bobby Higginson"	0.12641
"Rusty Greer"	0.125921
"Henry Rodriguez"	0.125622
"Cal Ripken Jr."	0.125132
"Preston Wilson"	0.124962
"Eric Owens"	0.124714
Vidro	0.124327
"Luis Gonzalez"	0.124044
"Steve Finley"	0.123463
"Bruce Aven"	0.123191
"Glenallen Hill"	0.12313
"Lenny Harris"	0.123082
"Ray Durham"	0.122971
"Dmitri Young"	0.122571
Bordick	0.120595
"John Olerud"	0.119759
"Reggie Sanders"	0.119436
"Gerald Williams"	0.118569
"Wil Cordero"	0.118496
"Carlos Beltran"	0.118473
"Richard Hidalgo"	0.118431
"Derek Bell"	0.118139
"Stan Javier"	0.117766
"Travis Fryman"	0.117569
"Darin Erstad"	0.117488
"Devon White"	0.116864
"Marvin Benard"	0.116676
"Edgar Martinez"	0.116526
Palmeiro	0.116042
"Garret Anderson"	0.115536
"Johnny Damon"	0.115211
"Rich Becker"	0.114932
"Andruw Jones"	0.114111
"Mike Mussina"	0.11408
"Paul Konerko"	0.1137
"Benny Agbayani"	0.113674
"Bubba Trammell"	0.112907
"Brook Fordyce"	0.112584
Olerud	0.112212
"Barry Larkin"	0.112161
"Einar Diaz"	0.111781
"Jose Guillen"	0.11177
"Juan Encarnacion"	0.111536
"Darryl Strawberry"	0.111513
"Jay Buhner"	0.111509
"Brian Hunter"	0.111192
"Paul O'Neill"	0.111167
"Jay Payton"	0.110982
Vaughn	0.110761
"Gregg Jefferies"	0.110733
"Kenny Lofton"	0.110709
"Andres Galarraga"	0.110674
"Chad Curtis"	0.110661
"Ricky Ledee"	0.11019
"Butch Huskey"	0.10985
"Matt Stairs"	0.109659
Ordonez	0.109638
"Lance Berkman"	0.10943
Rolen	0.109315
"Jeff Bagwell"	0.109248
"Wade Boggs"	0.109193
"Ellis Burks"	0.109106
"Mark Loretta"	0.108993
"Ken Griffey"	0.10846
"Bill Spiers"	0.108301
"J.D Drew"	0.108278
"Mark Kotsay"	0.107935
"Carlos Delgado"	0.107915
"Gabe Kapler"	0.107568
"Kirk Gibson"	0.107159
"Marquis Grissom"	0.106987
"Tim Salmon"	0.106892
"John Vander Wal"	0.106887
"Dave Martinez"	0.105699
"Tino Martinez"	0.105659
"Darren Lewis"	0.105457
"Nomar Garciaparra"	0.105389
"Bobby Abreu"	0.105156
"Darren Bragg"	0.104761
Griffey	0.104735
"Ryan Klesko"	0.104732
"Tony Phillips"	0.103894
Lankford	0.103528
"Marty Cordova"	0.103243
"Otis Nixon"	0.102607
"Jeromy Burnitz"	0.102209
"Luis Polonia"	0.101922
"Rob Ducey"	0.101241
"Brian Giles"	0.100851
"Edgardo Alfonzo"	0.100394
"Darryl Hamilton"	0.100371
"Mark McGwire"	0.100315
"Ruben Rivera"	0.100266
"Orlando Palmeiro"	0.100162
"Shane Spencer"	0.100082
Sexson	0.100057
"Todd Zeile"	0.100049
Bichette	0.100019
"Roger Cedeno"	0.0998042
"Scott Rolen"	0.0991231
Erstad	0.0990113
"Ken Caminiti"	0.0990069
"Matt Williams"	0.0986147
"Scott Brosius"	0.0981557
"Bill Mueller"	0.0980515
"Chipper Jones"	0.0977318
"Matt Luke"	0.0973194
"Quinton McCracken"	0.097216
"Jon Nunnally"	0.0970454
"John Mabry"	0.0969804
"Mark Grudzielanek"	0.0966932
"Travis Lee"	0.0966882
Burnitz	0.09662
"J.T Snow"	0.0964977
"Tim Raines"	0.0961467
"GERONIMO BERROA"	0.0961117
"David Segui"	0.0959688
"Jeff Kent"	0.0955755
"Bernard Gilkey"	0.0954395
"Tony Batista"	0.0954165
"Jeffrey Hammonds"	0.0952062
"Phil Nevin"	0.0951651
"Shannon Stewart"	0.0950421
"Pat Burrell"	0.0950298
"Damian Miller"	0.094984
"Jose Offerman"	0.094524
"Luis Alicea"	0.0943945
"Mike Caruso"	0.0942674
"Sandy Alomar"	0.093823
"Scott Spiezio"	0.0937644
"Deivi Cruz"	0.0937168
"Matt Franco"	0.0936593
"Mike Timlin"	0.093448
Lieberthal	0.0932832
"Trot Nixon"	0.0930838
Spiers	0.0927983
"Randy Johnson"	0.0926152
"Jim Edmonds"	0.0924169
"Troy Glaus"	0.0923239
Sosa	0.0923075
Ripken	0.0920284
"Chuck Knoblauch"	0.092015
"Raul Mondesi"	0.0916589
))
("Albert Brooks" (desc 2728.35) (sims
"Martin Lawrence"	0.105274
Costner	0.104469
"Woody Allen"	0.10395
"John Leguizamo"	0.103681
"Mike Myers"	0.101416
DeGeneres	0.101268
"Jerry Seinfeld"	0.100284
"Trey Parker"	0.0995528
"Jeff Bridges"	0.0948374
"Ellen DeGeneres"	0.0944578
"Alfre Woodard"	0.0936199
"Sylvester Stallone"	0.0932234
"Morgan Freeman"	0.092375
"Norm MacDonald"	0.0917624
Cleese	0.089627
"Adam Sandler"	0.0892875
"Ted Danson"	0.0886008
"Johnny Depp"	0.0860957
"Robin Williams"	0.0856734
"Sally Field"	0.0839161
"Eddie Murphy"	0.0834335
"Richard Dreyfuss"	0.0819905
"Julia Roberts"	0.0769255
"Drew Barrymore"	0.0767182
"Ingmar Bergman"	0.0764091
"Robert DeNiro"	0.076066
"Catherine Zeta-Jones"	0.0754547
"Jackie Chan"	0.0750829
"Jimmy Stewart"	0.0749885
"Jodie Foster"	0.073979
"Kim Basinger"	0.0739304
"Sandra Bullock"	0.0736918
"Hugh Grant"	0.0736903
"Kris Kristofferson"	0.0728813
"John Goodman"	0.072644
"Dennis Miller"	0.0722954
"Bette Midler"	0.0720852
"Clint Eastwood"	0.0710206
"Bill Murray"	0.0707075
"Matt Damon"	0.0706087
"Janet McTeer"	0.0705914
"Dustin Hoffman"	0.0704776
"Jack Lemmon"	0.070368
"Anthony Hopkins"	0.0702918
"Brad Pitt"	0.0699154
"Greg Kinnear"	0.0699003
Coen	0.0693147
"Renee Zellweger"	0.0692033
"Robert Redford"	0.0690555
"Marx Brothers"	0.0690512
"Steve Zahn"	0.0689233
"Jamie Foxx"	0.068192
"Jim Carrey"	0.0681209
"Tom Sizemore"	0.0679058
"Steve Martin"	0.0675357
"Marlon Brando"	0.0672894
"Sidney Poitier"	0.0672736
"Meg Ryan"	0.0672285
"Liza Minnelli"	0.0671263
"Nick Nolte"	0.0669234
"Jeremy Irons"	0.0664739
"James Van Der Beek"	0.0664617
"Gregory Peck"	0.0660709
"Gary Sinise"	0.0658198
"Steve McQueen"	0.0657103
"Burt Reynolds"	0.065617
Sandler	0.0655712
"Edward Furlong"	0.0654585
"Melanie Griffith"	0.0652842
"Sam Shepard"	0.0648176
"Kevin Bacon"	0.0647585
"Brenda Blethyn"	0.0643691
"Nicole Kidman"	0.0642645
"Ving Rhames"	0.0642297
Carrey	0.0642199
"John Travolta"	0.0639039
"Catherine Deneuve"	0.0636313
"Will Smith"	0.0630649
"Diane Keaton"	0.0630518
"Jane Fonda"	0.0623312
"Ethan Hawke"	0.0622158
"Stanley Tucci"	0.0621005
"Kate Winslet"	0.0620457
"Tom Hanks"	0.0619986
"Matthew Broderick"	0.0617737
"Chevy Chase"	0.0617157
"Al Franken"	0.0617015
"Michelle Pfeiffer"	0.0615682
"Jon Voight"	0.0614489
"Chow Yun-Fat"	0.0614083
"Burt Lancaster"	0.0611953
"Chris Rock"	0.0611067
"Michael Douglas"	0.0608207
Braugher	0.0607798
"Henry Fonda"	0.0607038
"Kirsten Dunst"	0.0606293
"Dan Aykroyd"	0.0604236
"Roberto Benigni"	0.0603919
"Gwyneth Paltrow"	0.0600827
"Patricia Arquette"	0.0595855
"James Earl Jones"	0.0595748
"Famke Janssen"	0.0594938
"Keanu Reeves"	0.0592659
"Wesley Snipes"	0.0591933
"Jeremy Northam"	0.059119
"Kung Fu"	0.0590788
"Nathan Lane"	0.059054
"Jessica Lange"	0.0584975
"Martin Sheen"	0.058214
"Richard Gere"	0.0581845
Hirsch	0.0581499
"Tom Selleck"	0.0580266
"Spencer Tracy"	0.0579247
"Rob Lowe"	0.057683
"Mel Brooks"	0.0575876
Reiner	0.057586
"Kirk Douglas"	0.0575257
"Holly Hunter"	0.0571643
"Bette Davis"	0.0570677
"Ian Holm"	0.0570377
"Val Kilmer"	0.0570238
"Michael Caine"	0.0569616
Gielgud	0.0569305
"Jerry Bruckheimer"	0.0569161
"Alicia Silverstone"	0.0568951
"David Duchovny"	0.0568766
"Bernadette Peters"	0.0567437
"Buster Keaton"	0.0567255
"Kevin Spacey"	0.0566271
"Kathy Bates"	0.0564224
"Nicolas Cage"	0.0563577
"Samuel L. Jackson"	0.0563208
gonzo	0.0562375
"George Tenet"	0.0561633
"Barry R. McCaffrey"	0.0560394
Bonner	0.0559434
"Elizabeth Taylor"	0.055919
Tucci	0.0554419
"Cary Grant"	0.0554055
"Chris Klein"	0.0553985
"Whoopi Goldberg"	0.0553918
"Christian Bale"	0.0553782
"Julie Andrews"	0.0552267
"Antonio Banderas"	0.0550155
"Ray Romano"	0.0550112
"Stephen Rea"	0.0543929
"Bruce Willis"	0.054359
"Mark Wahlberg"	0.054189
Grisham	0.0541475
"Bob Hope"	0.0541196
"Ally Sheedy"	0.0540389
"John Waters"	0.0540175
"Mike Nichols"	0.0539544
"Brendan Fraser"	0.0539514
"Andre Braugher"	0.0539466
"George Clooney"	0.0538065
"Orson Welles"	0.053804
"Matthew McConaughey"	0.0537196
"Woody Harrelson"	0.0535854
Barrymore	0.0535587
"Judy Garland"	0.0535487
Bergman	0.053341
Broderick	0.0533181
"Tom Cruise"	0.0532337
Yoakam	0.0530947
"John Weaver"	0.0530763
"Bill Pullman"	0.0529933
Kurosawa	0.0529415
"Sela Ward"	0.0529315
indie	0.0529251
"Tracey Ullman"	0.0528102
"Billy Crystal"	0.0527874
"Mel Gibson"	0.052785
"John Wayne"	0.052783
"Pierce Brosnan"	0.0527037
"Harrison Ford"	0.0526466
Bogart	0.0525445
"John Cusack"	0.0524979
"Kevin Costner"	0.0524958
Sealy	0.0524656
"Louis Freeh"	0.0524487
BANDERAS	0.052437
"Christopher Reeve"	0.0523992
"Ian McKellen"	0.0523575
goofball	0.0523486
"AL PACINO"	0.0522135
"Richard Burton"	0.0521316
Bjork	0.0519928
"Katharine Hepburn"	0.0519015
Schwarzenegger	0.0517702
"Ewan McGregor"	0.0517022
"Jenna Elfman"	0.0516714
"Ben Affleck"	0.0515955
"Taye Diggs"	0.0515756
"Sigourney Weaver"	0.0513784
"William Hurt"	0.0513695
"Russell Crowe"	0.0512667
"Audrey Hepburn"	0.0512521
"Demi Moore"	0.0512307
"Jennifer Love Hewitt"	0.0511498
))
("Albert Costa" (desc 5390.41) (sims
"Felix Mantilla"	0.497284
"Alberto Berasategui"	0.470336
"Alex Corretja"	0.424026
"Sergi Bruguera"	0.422205
"Francisco Clavet"	0.418722
"Carlos Costa"	0.41229
"Carlos Moya"	0.385083
"Albert Portas"	0.370979
"Alberto Costa"	0.365874
"Conchita Martinez"	0.361531
"Arantxa Sanchez-Vicario"	0.357046
"Gustavo Kuerten"	0.35498
"Arantxa Sanchez Vicario"	0.333514
"Javier Sanchez"	0.331662
"Magui Serna"	0.327031
"Marcelo Rios"	0.326715
"Goran Ivanisevic"	0.322199
"Yevgeny Kafelnikov"	0.321248
"Wayne Ferreira"	0.31859
"Anke Huber"	0.317551
"Jonas Bjorkman"	0.317245
"Karol Kucera"	0.313153
"Richard Krajicek"	0.311831
"Sandrine Testud"	0.310183
"Thomas Muster"	0.308074
"Dominique Van Roost"	0.307161
"Amanda Coetzer"	0.306482
"Galo Blanco"	0.302401
"Nathalie Tauziat"	0.300764
"Iva Majoli"	0.299246
"Juan Carlos Ferrero"	0.298103
"Magnus Norman"	0.29792
"Mariano Puerta"	0.297336
"Greg Rusedski"	0.295977
"Tim Henman"	0.295249
"Thomas Enqvist"	0.29457
"Julie Halard-Decugis"	0.29284
"Irina Spirlea"	0.29105
"Magdalena Maleeva"	0.289195
"Nicolas Kiefer"	0.287567
"Cedric Pioline"	0.287079
"Elena Likhovtseva"	0.285716
"Nicolas Lapentti"	0.284548
"Marc Rosset"	0.278038
"Jason Stoltenberg"	0.278004
"Karim Alami"	0.277664
"Magnus Gustafsson"	0.275682
"Mark Philippoussis"	0.275117
"Michael Chang"	0.274429
"Mary Pierce"	0.274421
"Patty Schnyder"	0.273809
"Amy Frazier"	0.273765
"Barbara Paulus"	0.271665
"Richard Fromberg"	0.271133
"Todd Woodbridge"	0.27071
"Thomas Johansson"	0.269538
"Julian Alonso"	0.267692
"Arnaud Boetsch"	0.267292
"Nathalie Dechy"	0.266844
"Marat Safin"	0.26535
"Fabrice Santoro"	0.263686
"Patrick Rafter"	0.263436
"Natasha Zvereva"	0.263221
"Todd Martin"	0.262798
"Younes El Aynaoui"	0.255267
"Kenneth Carlsen"	0.255153
"Tommy Haas"	0.255095
"Scott Draper"	0.253974
"Petr Korda"	0.252737
"Chanda Rubin"	0.252716
"Brenda Schultz-McCarthy"	0.252702
"Ruxandra Dragomir"	0.251028
"Nicolas Escude"	0.250371
"Ai Sugiyama"	0.250226
"Paul Haarhuis"	0.249333
"Fernando Meligeni"	0.246977
"Andrei Pavel"	0.246738
"Byron Black"	0.244591
"Lisa Raymond"	0.244302
"Rainer Schuttler"	0.244282
"Barbara Schett"	0.243386
"Sarah Pitkowski"	0.243025
"Judith Wiesner"	0.24242
"Tamarine Tanasugarn"	0.240978
"Sjeng Schalken"	0.240759
"Joannette Kruger"	0.240308
Siemerink	0.240262
"Chris Woodruff"	0.239562
"Gianluca Pozzi"	0.236585
"Vincent Spadea"	0.235477
"Andrei Medvedev"	0.234373
"Jim Courier"	0.23427
"Jana Novotna"	0.234191
"Pat Rafter"	0.233343
"Australian Mark Philippoussis"	0.232678
"Davide Sanguinetti"	0.229665
"Mariano Zabaleta"	0.22933
"Magnus Larsson"	0.228434
"Filip Dewulf"	0.226078
"Jerome Golmard"	0.22573
"Arnaud Clement"	0.225604
"Ramon Delgado"	0.225223
"MaliVai Washington"	0.225131
"Mark Woodforde"	0.22391
"South African Amanda Coetzer"	0.223376
"Sabine Appelmans"	0.22316
"Hernan Gumy"	0.222545
"Amelie Mauresmo"	0.222047
"American Chanda Rubin"	0.221107
"Michael Stich"	0.220864
"Dominik Hrbaty"	0.220548
"Andre Agassi"	0.21984
"Serena Williams"	0.219619
"Juan Antonio Marin"	0.21912
"Franco Squillari"	0.218112
"Naoko Sawamatsu"	0.216986
"Kimiko Date"	0.216126
"Lindsay Davenport"	0.215886
"Sebastien Grosjean"	0.215485
Mantilla	0.215341
"Boris Becker"	0.215258
"Andrea Gaudenzi"	0.215096
"Richey Reneberg"	0.213915
"Tatiana Panova"	0.213744
"Sargis Sargsian"	0.213038
"Silvia Farina"	0.212138
"Guillaume Raoux"	0.211844
"Arnaud Di Pasquale"	0.210558
"Li Fang"	0.21053
"Monica Seles"	0.210438
"Christian Ruud"	0.209735
"Yayuk Basuki"	0.207159
"Mary Joe Fernandez"	0.206884
"Russian Yevgeny Kafelnikov"	0.205596
"Anne Kremer"	0.204571
Berasategui	0.20438
"Jennifer Capriati"	0.204241
"Renzo Furlan"	0.203706
"David Prinosil"	0.203614
"Venus Williams"	0.202781
"Mikael Tillstrom"	0.201961
"Miriam Oremans"	0.20156
"Lleyton Hewitt"	0.200312
"American Todd Martin"	0.200169
"Alex O'Brien"	0.200114
"Hicham Arazi"	0.199203
"Asa Carlsson"	0.198328
"Daniel Nestor"	0.19769
"Jeff Tarango"	0.197491
Kafelnikov	0.197293
"Florencia Labat"	0.196855
"Jan-Michael Gambill"	0.196623
"Marcelo Filippini"	0.196242
"Karina Habsudova"	0.194969
"Elena Dementieva"	0.194831
"American Michael Chang"	0.194667
"Tara Snyder"	0.194309
"Wayne Black"	0.194115
"Leander Paes"	0.193699
"Kimberly Po"	0.193363
"Andrew Ilie"	0.193093
"Anna Kournikova"	0.191771
"Paola Suarez"	0.191713
Moya	0.191321
"Bohdan Ulihrach"	0.191231
"American Lindsay Davenport"	0.190336
"Slava Dosedel"	0.190279
"Peter Nicol"	0.190208
"Adrian Voinea"	0.18998
"Rodney Eyles"	0.189287
"Roger Federer"	0.188648
"Anne-Gaelle Sidot"	0.188501
Corretja	0.188117
"Gong Zhichao"	0.187769
"Cara Black"	0.186757
"Jiri Novak"	0.185367
"Mark Knowles"	0.184782
"Andreas Vinciguerra"	0.183275
Majoli	0.182578
"Olga Barabanschikova"	0.182241
"Henrieta Nagyova"	0.181351
"Grant Stafford"	0.17975
"Martina Hingis"	0.179428
"Steffi Graf"	0.179094
"Jonathan Stark"	0.178954
"Xavier Malisse"	0.178897
"Brett Steven"	0.177854
"Rita Grande"	0.174816
"John Van Lottum"	0.174737
"Alexandra Fusai"	0.173602
Clavet	0.172547
"Daniel Vacek"	0.172069
Sanchez-Vicario	0.171804
"Abraham Olano"	0.171027
"Ye Zhaoying"	0.16998
"Stefan Edberg"	0.169638
"Mahesh Bhupathi"	0.168614
Coetzer	0.168304
"Steve Campbell"	0.168231
Halard-Decugis	0.167425
Krajicek	0.166935
"Justin Gimelstob"	0.166121
"Michael Tebbutt"	0.165785
Ulihrach	0.163989
Dosedel	0.162879
Kroslak	0.162844
"Pete Sampras"	0.162787
"Peter Gade Christensen"	0.162679
"Catalina Cristea"	0.162641
Kuerten	0.162048
Kucera	0.161976
"Corina Morariu"	0.161092
"Peter Rasmussen"	0.160606
Enqvist	0.160536
"American Pete Sampras"	0.160486
"Camilla Martin"	0.160003
"Kristie Boogert"	0.15995
"Sebastien Lareau"	0.159196
Dragomir	0.158939
"Wang Liqin"	0.158633
Bjorkman	0.158284
"Heryanto Arbi"	0.157973
"Neville Godwin"	0.157858
"Marcos Ondruska"	0.156685
Henman	0.15609
"Martin Damm"	0.156036
Pioline	0.155529
rios	0.155194
"Jacco Eltingh"	0.154937
"Nicole Pratt"	0.153639
Bruguera	0.15225
Rusedski	0.151216
Testud	0.150767
"Jan-Ove Waldner"	0.149908
"Vince Spadea"	0.149701
"Wang Chen"	0.149614
Haarhuis	0.149286
"Guy Forget"	0.149235
"Miguel Indurain"	0.148229
"Jansher Khan"	0.14815
"Fernando Escartin"	0.148094
Sugiyama	0.146801
"Mirjana Lucic"	0.146006
"Joko Suprianto"	0.145845
"Jelena Dokic"	0.145131
"Kveta Hrdlickova"	0.144734
Raoux	0.144379
"Zhang Ning"	0.144345
"Fung Permadi"	0.144187
"Xia Xuanze"	0.143687
"Barbara Schwartz"	0.142292
"Kim Clijsters"	0.142132
"Andres Gomez"	0.141737
"Kong Linghui"	0.141594
"Dong Jiong"	0.141446
Stoltenberg	0.139788
"Barbara Rittner"	0.139014
"American Andre Agassi"	0.138403
"Athletic Bilbao"	0.137486
Costa	0.137382
Swardt	0.136548
Kiefer	0.136494
"Els Callens"	0.136493
"Mia Audina"	0.135668
Ferreira	0.134486
"Dai Yun"	0.134397
"Li Ju"	0.134154
"Nicklas Kulti"	0.133774
Zamalek	0.133119
"Vladimir Samsonov"	0.132856
"Dennis van Scheppingen"	0.132209
Gustafsson	0.131627
"Briton Greg Rusedski"	0.130911
"Max Mirnyi"	0.13073
Korda	0.130606
Independiente	0.130138
Rosset	0.12998
"Sanchez Vicario"	0.129489
Likhovtseva	0.12916
"Wang Nan"	0.12912
Agassi	0.129103
Philippoussis	0.129084
"Sandon Stolle"	0.128895
"Lori McNeil"	0.128734
Seles	0.128511
"Taufik Hidayat"	0.127988
Novotna	0.127678
"Chicago Fire"	0.127611
Kournikova	0.12697
Mauresmo	0.12674
Hendrawan	0.126289
"Liu Guoliang"	0.125933
Nacional	0.125784
Schnyder	0.125722
Palmeiras	0.125564
"Carlos Sainz"	0.125504
"Gong Ruina"	0.125057
Capriati	0.124702
Lapentti	0.124434
Brondby	0.124038
"Wayne Arthurs"	0.123947
"Atletico Madrid"	0.123362
"Denisa Chladkova"	0.122551
Santoro	0.121797
"Zoran Primorac"	0.121667
Safin	0.121177
Schett	0.120909
"River Plate"	0.12009
"Colo Colo"	0.119906
"Paul Goldstein"	0.119687
"Jean-Philippe Gatien"	0.11873
"Dalian Wanda"	0.118052
"Van Roost"	0.117347
Spirlea	0.117317
"Rika Hiraki"	0.117195
Davenport	0.116972
"Miguel Angel Jimenez"	0.116232
"Jorgen Persson"	0.115842
Tauziat	0.115729
Ivanisevic	0.115515
Zvereva	0.115292
Hrbaty	0.115189
Habsudova	0.115056
Gremio	0.114699
"Partizan Belgrade"	0.114333
Olympiakos	0.114026
Anderlecht	0.112461
Hingis	0.112446
"Real Madrid"	0.112203
Spadea	0.111766
Edberg	0.111333
"Jimmy Connors"	0.110278
"Helena Sukova"	0.109614
Penarol	0.10948
Cruzeiro	0.109121
Puerta	0.108976
"Diego Nargiso"	0.108698
Sevilla	0.10808
"Adriana Gersi"	0.108007
"Liu Yong"	0.107961
Spaniard	0.10783
Chang	0.107657
"Shanghai Shenhua"	0.107572
"Rashid Sidek"	0.107361
"Garry Kasparov"	0.106686
Panathinaikos	0.106623
"Celta Vigo"	0.106563
Huber	0.106523
"Schalke @@"	0.106381
"Wang Shi-Ting"	0.106261
Susanti	0.105885
"Deportivo Coruna"	0.10567
"Bjorn Borg"	0.105094
Sampras	0.104804
"Weber State"	0.104219
"Real Betis"	0.103266
Valencia	0.102345
"Sergio Garcia"	0.10228
"Susi Susanti"	0.102205
"Spartak Moscow"	0.10187
"Olivier Delaitre"	0.101864
"Chinese Taipei"	0.101704
"Borussia Dortmund"	0.101636
"John McEnroe"	0.100656
"Kinder Bologna"	0.100654
"Ge Fei"	0.100568
Olimpia	0.100467
Besiktas	0.100322
Shenhua	0.100013
))
("Albert Einstein" (desc 4342.31) (sims
Einstein	0.109044
"Stephen Hawking"	0.0978233
"Marilyn Monroe"	0.0724861
"Mother Teresa"	0.0717378
"Charles Darwin"	0.0712987
"Charles Lindbergh"	0.0695978
"Karl Marx"	0.0694106
Heinrich	0.0689938
"Abraham Lincoln"	0.0670838
"Martin Luther King Jr."	0.0664996
"George Washington"	0.0664922
"Thomas Edison"	0.0658412
"Christopher Columbus"	0.0650049
"Malcolm X"	0.0636583
Lenin	0.0631697
"Michael Collins"	0.0627582
"Edgar Allan Poe"	0.0622355
Archimedes	0.062154
"Frank Sinatra"	0.0604441
"Elvis Presley"	0.0604031
"Henry James"	0.0602975
"Mark Twain"	0.0597464
"Virginia Woolf"	0.0594495
"Buzz Aldrin"	0.059383
"Mahatma Gandhi"	0.0571199
"John F. Kennedy"	0.0569304
"Mao Zedong"	0.0567863
"Gertrude Stein"	0.0562507
"Muhammad Ali"	0.0558672
"Rosa Parks"	0.0556986
"Jack Dempsey"	0.0553175
Edelman	0.0551378
Yat-sen	0.0542777
"Adolf Hitler"	0.0540796
Mao	0.0538269
"Alexander Hamilton"	0.053817
"George Bernard Shaw"	0.052975
"Vaclav Havel"	0.0529285
"Douglas MacArthur"	0.0524822
"Nelson Mandela"	0.0521748
Sacagawea	0.0521434
"Lu Xun"	0.0519943
"Walt Whitman"	0.0516551
"Humphrey Bogart"	0.051628
"Jacqueline Kennedy"	0.0514145
"Robert Kennedy"	0.0512113
Gandhi	0.0500878
"Oscar Wilde"	0.0499193
"Lucille Ball"	0.0498636
"John Lennon"	0.0496106
"Billy Graham"	0.0495892
"Joe Louis"	0.0494254
Marx	0.0490747
"Bob Hope"	0.0489457
"Dr. Sun Yat-Sen"	0.048498
Balzac	0.0480038
"Comrade Deng Xiaoping"	0.047878
"Deng Xiaoping"	0.0478702
Aliyev	0.0475093
"Ho Chi Minh"	0.0474279
Teng-hui	0.0472847
"Vladimir Nabokov"	0.0469314
Pele	0.0468836
Aldrin	0.0468462
"Robert Frost"	0.046802
"Robert F. Kennedy"	0.0465904
"Herbert Hoover"	0.0463256
Stoyanov	0.0461521
"Frederick Douglass"	0.046107
"Benjamin Franklin"	0.046086
"Theodore Roosevelt"	0.0459139
Galileo	0.0458908
Socrates	0.04579
"Zhou Enlai"	0.0453405
"Mickey Mantle"	0.0452218
Guevara	0.0451969
"Gary Cooper"	0.0449383
"Roy Lichtenstein"	0.0448221
"quantum theory"	0.0446597
"Wen Ho Lee"	0.0444221
"Truman Capote"	0.0443837
"Langston Hughes"	0.0443155
Adler	0.0436001
"Bugs Bunny"	0.0435416
"Ulysses S. Grant"	0.0435029
"Marlon Brando"	0.0434439
"Ernest Hemingway"	0.0434135
"Groucho Marx"	0.0431819
"Jerry Garcia"	0.0431717
Kingsley	0.0431407
"Simon Bolivar"	0.042898
Chinese-Indonesians	0.0428436
"Alexander the Great"	0.0427789
"Thomas Jefferson"	0.0426105
Moratinos	0.0425799
"Andy Warhol"	0.04251
Goff	0.0422135
"Jesus Christ"	0.0421901
"Mickey mouse"	0.0420189
"Winston Churchill"	0.0419892
Gabbi	0.0417732
O.J	0.0417283
"Li Hongzhi"	0.0416799
"John Wayne"	0.0414487
Dehaene	0.0413974
"Jane Austen"	0.0413282
"Hank Aaron"	0.0413169
"quantum mechanics"	0.0412243
Sakyamuni	0.0409968
"Virgin Mary"	0.0409368
Masire	0.0406277
Weah	0.0401221
"Jasper Johns"	0.040101
"Temple University"	0.0400083
))
("Albert Finney" (desc 1580.02) (sims
"Sean Penn"	0.115575
"Ed Harris"	0.107759
"James Coburn"	0.101031
"Hugh Grant"	0.0996048
"Susan Sarandon"	0.0942948
"Richard Burton"	0.0886316
"Lily Tomlin"	0.0814962
"Jeff Bridges"	0.0809718
"Richard Gere"	0.0775858
"Joan Allen"	0.077396
"John Gielgud"	0.0765282
"Woody Harrelson"	0.0754839
"Wesley Snipes"	0.0747714
"Edward Norton"	0.0728189
"Sharon Stone"	0.071948
"John Cusack"	0.070002
"John Travolta"	0.0697013
"Jessica Lange"	0.0693345
"George Clooney"	0.0678084
"Nathan Lane"	0.0649743
"Audrey Hepburn"	0.0634202
GERE	0.0622975
"Anjelica Huston"	0.0590112
"Laurence Olivier"	0.0587917
"Ben Affleck"	0.0582869
"Emily Watson"	0.058279
"Cary Grant"	0.0546601
"Cybill Shepherd"	0.0538088
"Judi Dench"	0.0521312
"Humphrey Bogart"	0.0511736
"Grace Kelly"	0.050666
"Ingrid Bergman"	0.0495304
"David Kendall"	0.0487758
"Michael Gambon"	0.0479202
"military band"	0.0475405
DeGeneres	0.0473779
"Brad Pitt"	0.0468052
"Leelee Sobieski"	0.0460166
"Will Smith"	0.0458778
"Anne Heche"	0.0450109
"Jim Thomas"	0.0441332
"Michelle Pfeiffer"	0.0425198
"Uma Thurman"	0.0415157
"Alec Baldwin"	0.0409836
"Jodie Foster"	0.0409794
"Gregory Craig"	0.0401675
))
("Albert Pirro" (desc 1519.13) (sims
Pirro	0.325575
Haouari	0.138873
Haughey	0.120442
"Russell Peeler"	0.10964
Richie	0.103246
Giacchetto	0.103216
Blackthorne	0.10031
Lundy	0.0979667
Brownlee	0.0971082
"Al Joyner"	0.0965936
Nikitin	0.0955542
Khalil	0.0950895
Kagalovsky	0.0916791
Mikhailov	0.0903733
Jovanovic	0.0879794
Berenson	0.0871225
SEABROOK	0.0866594
Quackenbush	0.0863121
Abernathy	0.0846285
Bakaly	0.0846137
Reimer	0.0841826
Kiareldeen	0.0840426
Walser	0.0837636
Druckenmiller	0.0830701
Dokmanovic	0.0826293
"Al Fayed"	0.0824524
Shayler	0.0817942
Swango	0.0804075
Borodin	0.0801729
Soliah	0.0788929
Cisneros	0.0784975
Meskini	0.0778549
Callaghan	0.0773017
McDougal	0.0772812
Biskind	0.0753055
Boesak	0.075237
Karr	0.0752193
Nkabinde	0.0748051
McWilliams	0.074247
Garza	0.0733518
Livoti	0.0731788
Isner	0.0726334
Hersh	0.0724623
Gusinsky	0.0721557
Drabinsky	0.0719216
Fabius	0.0718533
"Asif Ali Zardari"	0.0716425
Fagan	0.0716326
Yoo	0.0715411
Carruth	0.0711713
Wiese	0.0709475
Ritter	0.0706834
Kimeses	0.0702461
Capano	0.0701739
McKinney	0.0701198
"Maturino Resendiz"	0.0693078
Mudge	0.0687657
Shipman	0.0687604
Ummi	0.0686325
"C.J Hunter"	0.0684098
Berlusconi	0.0678249
Lileikis	0.0676302
"El Hage"	0.0674161
Martorano	0.0673144
Milstein	0.0671494
Chu	0.0671256
Kovacevic	0.0670837
"Cindy McCain"	0.0670795
Gutman	0.0670437
Caddell	0.0670264
Trie	0.0666227
Whitacre	0.0664095
Demjanjuk	0.0663104
Zucker	0.0663026
leeson	0.0659194
Hsia	0.0656399
Jenoff	0.065585
Ruehe	0.065466
Einhorn	0.0650351
Allchin	0.0649892
Ntakirutimana	0.0649862
Kehoe	0.0648487
Keating	0.0647255
Krstic	0.0645608
Advani	0.0644232
Indyk	0.0643027
Espy	0.0641985
Pugh	0.0640054
Skakel	0.0638128
Hubbell	0.0636389
Bruton	0.0635865
Kulikov	0.0635732
Ashrawi	0.0634825
McKinnon	0.0634716
Stayner	0.0634324
Wyly	0.063404
Kazhegeldin	0.0633826
Giordano	0.0633595
Cheung	0.0633084
Mukora	0.0631865
D'Alessandro	0.0630349
Steele	0.0630267
McGraw	0.0629771
Kirk	0.0629166
Hirschfeld	0.0629143
Warshaw	0.0627524
Brunner	0.0626786
Kozeny	0.0625506
Abu-Jamal	0.06216
Manley	0.0620516
Kaczynski	0.0617014
Paciello	0.0616702
Gritz	0.0615947
Kurth	0.0614552
Frankel	0.061409
Espinosa	0.0609429
Symington	0.0608998
Piggie	0.0605177
"Ruiz Massieu"	0.060343
Preval	0.0601726
Kalejs	0.0601161
Espinoza	0.0597091
Bhutto	0.0596801
ex-convict	0.0595584
Ramseys	0.0594075
Priebke	0.0592491
Bernhard	0.0591573
McGill	0.0590335
Sharma	0.0589304
"Perez Balladares"	0.0588032
Schwarz	0.0587661
Hanley	0.0586819
krueger	0.058674
"Raul Salinas"	0.0585693
Musa	0.0584596
Ntuyahaga	0.0583309
Cianci	0.0582959
Hage	0.0582863
LeFave	0.0582363
Harrer	0.0580998
Cheng	0.0576196
Samper	0.0575239
Noonan	0.0574797
Neulander	0.0573561
Sakic	0.0571506
Mckee	0.0569379
Connell	0.0568884
Anelka	0.0566843
Fuhrman	0.0564339
Nebiolo	0.0563374
Pearce	0.0563206
Fiorina	0.0563185
Gravano	0.0562755
Hiett	0.0561983
Marcos	0.0561087
Goldstein	0.0561001
Prewitt	0.0560739
Grasso	0.0559619
Baumhammers	0.055906
Sanan	0.0559009
Falater	0.0557043
McLane	0.0556304
Ghani	0.0554265
Hoddle	0.0554211
Ng	0.0553041
Zarkin	0.0551929
Penders	0.0551218
Stoudamire	0.0550876
Lazarenko	0.0550574
Vasquez	0.0549904
McGinn	0.0549094
Dorsey	0.0548801
Stanton	0.0548464
Narayanan	0.0547881
Cayugas	0.0545996
Hamid	0.0545361
peeler	0.054387
Gullit	0.0543757
Diouf	0.0542409
Barksdale	0.0539804
Rao	0.0538564
Soong	0.0537783
Arroyo	0.0536058
Olson	0.0534801
Camacho	0.0534325
Arpaio	0.0533386
"Michael Skakel"	0.0533082
Sung	0.0530885
Granic	0.052818
"British government"	0.0526835
Flanagan	0.0525663
Harris-Lewis	0.0525478
Lindland	0.0524653
Menchu	0.0524267
"Richard Ashby"	0.0524243
Ernst	0.052374
Cruz	0.0523403
Flynt	0.0522556
Traficant	0.0522041
Sheppard	0.0522013
))
("Albert Portas" (desc 1117.05) (sims
"Magui Serna"	0.607123
"Carlos Costa"	0.535096
"Galo Blanco"	0.495241
"Anne Kremer"	0.490901
"Juan Antonio Marin"	0.471643
"Julian Alonso"	0.468055
"Francisco Clavet"	0.463346
"Sarah Pitkowski"	0.458745
"Tatiana Panova"	0.457204
"Sergi Bruguera"	0.448281
"Nathalie Dechy"	0.447586
"Arnaud Di Pasquale"	0.444124
"Javier Sanchez"	0.443517
"Hernan Gumy"	0.435877
"Alberto Berasategui"	0.429175
"Arnaud Boetsch"	0.427206
"Alberto Costa"	0.42311
"Christian Ruud"	0.420403
"Juan Carlos Ferrero"	0.414983
"Adrian Voinea"	0.414753
"Mariano Puerta"	0.410081
"Arnaud Clement"	0.40299
"Silvia Farina"	0.40183
"Judith Wiesner"	0.399812
"Mariano Zabaleta"	0.39849
"Andrei Pavel"	0.396614
"Franco Squillari"	0.396613
"Ramon Delgado"	0.395477
"Joannette Kruger"	0.389538
"Felix Mantilla"	0.385115
"Florencia Labat"	0.384063
"Jerome Golmard"	0.383923
"Younes El Aynaoui"	0.383677
"Marcelo Filippini"	0.382536
"Naoko Sawamatsu"	0.380467
"Vincent Spadea"	0.380034
"Sabine Appelmans"	0.375775
"Karim Alami"	0.372754
"Albert Costa"	0.370979
"Magdalena Maleeva"	0.368213
"Nicolas Escude"	0.36492
"Richard Fromberg"	0.359021
"Asa Carlsson"	0.358302
"Barbara Paulus"	0.358011
"Gianluca Pozzi"	0.357756
"Cara Black"	0.357211
"Andreas Vinciguerra"	0.356638
"Sargis Sargsian"	0.353726
"Rainer Schuttler"	0.352427
"Xavier Malisse"	0.349338
"Andrew Ilie"	0.346836
"Neville Godwin"	0.344663
"Tamarine Tanasugarn"	0.342839
"Jeff Tarango"	0.339894
"Sebastien Grosjean"	0.336602
"Renzo Furlan"	0.332654
"Fabrice Santoro"	0.330582
"Elena Likhovtseva"	0.328921
"David Prinosil"	0.328023
"Ruxandra Dragomir"	0.327603
"Yayuk Basuki"	0.32689
"Hicham Arazi"	0.326373
"Tara Snyder"	0.323901
"Catalina Cristea"	0.323687
"Kenneth Carlsen"	0.322853
"Steve Campbell"	0.320385
"Els Callens"	0.320297
"Davide Sanguinetti"	0.320113
"Richey Reneberg"	0.317933
"Miriam Oremans"	0.317933
"Amy Frazier"	0.31754
"Conchita Martinez"	0.317285
"Sebastien Lareau"	0.316031
"Andrea Gaudenzi"	0.315791
"Roger Federer"	0.314296
"Marcos Ondruska"	0.313247
"Li Fang"	0.312012
"Magnus Gustafsson"	0.31178
"Olga Barabanschikova"	0.310808
"Mikael Tillstrom"	0.310644
"Brenda Schultz-McCarthy"	0.308351
"Kveta Hrdlickova"	0.307575
"Dominique Van Roost"	0.307308
"Filip Dewulf"	0.307127
"Nicole Pratt"	0.306313
"Barbara Rittner"	0.3063
"Byron Black"	0.305771
"Leander Paes"	0.305725
"Scott Draper"	0.305699
"Julie Halard-Decugis"	0.305347
"Sjeng Schalken"	0.304879
"Andrei Medvedev"	0.303746
"John Van Lottum"	0.303685
"Mark Knowles"	0.30314
"Guillaume Raoux"	0.302745
"Paola Suarez"	0.302545
"MaliVai Washington"	0.301953
"Arantxa Sanchez-Vicario"	0.301563
"Fernando Meligeni"	0.301007
"Elena Dementieva"	0.300592
"Thomas Johansson"	0.294944
"Jason Stoltenberg"	0.294492
"Rita Grande"	0.293188
"Ai Sugiyama"	0.291811
"Grant Stafford"	0.291732
"Chanda Rubin"	0.288082
"Paul Haarhuis"	0.286634
"Todd Woodbridge"	0.286611
"Wayne Black"	0.28487
"Kristie Boogert"	0.284853
"Kim Clijsters"	0.284647
"Kimberly Po"	0.284164
"Magnus Norman"	0.281957
"Alexandra Fusai"	0.280744
"Natasha Zvereva"	0.278493
"Irina Spirlea"	0.277362
"Max Mirnyi"	0.277021
"Patty Schnyder"	0.2766
"Corina Morariu"	0.274559
"Andres Gomez"	0.274386
"Lisa Raymond"	0.274173
"Chris Woodruff"	0.273317
"Michael Tebbutt"	0.273276
"Arantxa Sanchez Vicario"	0.273113
"Paul Goldstein"	0.272339
"Jonathan Stark"	0.272183
"Karina Habsudova"	0.271298
"Dominik Hrbaty"	0.27113
"Carlos Moya"	0.269837
"Daniel Nestor"	0.268352
"Iva Majoli"	0.268236
"Jiri Novak"	0.267467
"Daniel Vacek"	0.266773
"Henrieta Nagyova"	0.265398
"Alex Corretja"	0.264742
"Anne-Gaelle Sidot"	0.263899
"Sandrine Testud"	0.263267
"Marc Rosset"	0.2629
"Kimiko Date"	0.261951
"Barbara Schett"	0.261617
"Amelie Mauresmo"	0.261088
"Wayne Ferreira"	0.259155
"Magnus Larsson"	0.258969
"Rika Hiraki"	0.256685
"Nicolas Kiefer"	0.256003
"Marat Safin"	0.255647
"Wayne Arthurs"	0.255376
"Brett Steven"	0.254728
"Martin Damm"	0.253564
"Denisa Chladkova"	0.252271
"Amanda Coetzer"	0.251603
"Bohdan Ulihrach"	0.25065
"Barbara Schwartz"	0.250285
"Alex O'Brien"	0.249499
"Anke Huber"	0.24937
"Mahesh Bhupathi"	0.249285
"Guy Forget"	0.246669
"Jonas Bjorkman"	0.24523
"Tommy Haas"	0.244508
"Nicolas Lapentti"	0.244446
"Justin Gimelstob"	0.242889
"Mark Woodforde"	0.237629
"Slava Dosedel"	0.237409
"Thomas Enqvist"	0.237182
"Dennis van Scheppingen"	0.235962
"Slavia Prague"	0.235356
"Athletic Bilbao"	0.235307
"Mirjana Lucic"	0.229428
"Adriana Gersi"	0.228516
"Thomas Muster"	0.227509
"Jan-Michael Gambill"	0.2274
"Cedric Pioline"	0.227321
"Michael Stich"	0.22545
"Karol Kucera"	0.223206
"Vince Spadea"	0.222576
"Petr Korda"	0.222035
Siemerink	0.221808
"Richard Krajicek"	0.220568
"Gustavo Kuerten"	0.220302
"Greg Rusedski"	0.219356
"Michael Chang"	0.217595
"Mary Joe Fernandez"	0.21743
"Jennifer Capriati"	0.216949
"Helena Sukova"	0.21618
"Mary Pierce"	0.21607
"Nathalie Tauziat"	0.215635
"Mark Philippoussis"	0.214528
"Janet Lee"	0.212806
"Celta Vigo"	0.21107
"Todd Martin"	0.210969
Kroslak	0.210573
"Russian Yevgeny Kafelnikov"	0.20986
"Jelena Dokic"	0.208822
Swardt	0.208378
"Australian Mark Philippoussis"	0.20658
"Partizan Belgrade"	0.203475
Dragomir	0.203344
Clavet	0.203066
"Mats Wilander"	0.200529
"Sandon Stolle"	0.199742
"Tim Henman"	0.199622
Nacional	0.199517
"Lori McNeil"	0.198519
Zamalek	0.197974
"American Todd Martin"	0.196766
"Real Betis"	0.196544
"Jim Courier"	0.196397
"Gong Zhichao"	0.193107
"Wang Shi-Ting"	0.190078
"Goran Ivanisevic"	0.188806
"Olivier Delaitre"	0.188625
"Miguel Indurain"	0.188522
"Nicklas Kulti"	0.188188
"Jacco Eltingh"	0.186501
"Peter Rasmussen"	0.185953
"Stefan Edberg"	0.184525
"Camilla Martin"	0.184409
"American Chanda Rubin"	0.183725
"Fung Permadi"	0.181798
"Marcelo Rios"	0.181441
Ulihrach	0.181392
"Serena Williams"	0.17941
"Deportivo Coruna"	0.179288
"Pat Rafter"	0.178841
"Lleyton Hewitt"	0.178742
Berasategui	0.17844
"Gong Ruina"	0.177847
"Diego Nargiso"	0.176503
"Jana Novotna"	0.175647
Estudiantes	0.17412
"Olympiakos Piraeus"	0.173811
"Patrick Rafter"	0.172448
"American Lindsay Davenport"	0.172221
"Alexandra Stevenson"	0.172213
"Briton Greg Rusedski"	0.171756
"Xia Xuanze"	0.168813
"American Michael Chang"	0.167006
"Yevgeny Kafelnikov"	0.166763
"VfB Stuttgart"	0.166677
Gremio	0.166326
Brondby	0.164443
"Jean-Philippe Gatien"	0.164109
"Katarina Studenikova"	0.16407
"Atletico Madrid"	0.161241
"Sandra Kleinova"	0.160543
Raoux	0.159201
"Larisa Neiland"	0.158381
Halard-Decugis	0.157975
"Boris Becker"	0.157966
"Peter Nicol"	0.157918
"Rodney Eyles"	0.157906
"Anna Kournikova"	0.157156
Sevilla	0.156208
Bruguera	0.156078
"Monica Seles"	0.155636
"Fernando Escartin"	0.155366
Independiente	0.153827
"Colo Colo"	0.153369
Penarol	0.152267
"Mia Audina"	0.152004
Kucera	0.151834
"Vladimir Samsonov"	0.15182
"Spartak Moscow"	0.151694
Dosedel	0.15149
Mauresmo	0.151246
"South African Amanda Coetzer"	0.14878
"AEK Athens"	0.147349
Olimpia	0.147258
Espanyol	0.147072
"Chen Jing"	0.146316
"Ong Ewe Hock"	0.145855
"Martin Lee"	0.145805
Haarhuis	0.145798
Schalken	0.145428
Enqvist	0.145305
Anderlecht	0.144852
Testud	0.144696
Habsudova	0.144443
Rosenborg	0.144357
"Lindsay Davenport"	0.144188
"Rashid Sidek"	0.144092
"Wang Chen"	0.144036
"Venus Williams"	0.143903
Sanchez-Vicario	0.143576
"Carlos Sainz"	0.143449
"Zhang Ning"	0.142512
"Olympique Marseille"	0.142434
Damm	0.141995
"Peter Gade Christensen"	0.141455
Prinosil	0.141021
"Velez Sarsfield"	0.140436
"Steffi Graf"	0.140396
Besiktas	0.138581
"Li Ju"	0.138131
"Ye Zhaoying"	0.138021
"Joko Suprianto"	0.137158
"David Rikl"	0.137128
Likhovtseva	0.134412
Schett	0.133924
Benfica	0.133678
"Jansher Khan"	0.133484
"Le Defi Francais"	0.133468
Kafelnikov	0.131817
Rusedski	0.131771
Kuerten	0.131628
"Sanchez Vicario"	0.131137
"Abraham Olano"	0.130455
Auxerre	0.130406
"Andre Agassi"	0.129682
Valencia	0.129576
Puerta	0.129396
Fenerbahce	0.129081
Coetzer	0.129055
"Susi Susanti"	0.128967
Stoltenberg	0.12825
"Chen Gang"	0.128243
Atalanta	0.128136
"Paul Johnson"	0.127723
"Real Sociedad"	0.127641
"Werder Bremen"	0.127024
"Ji Xinpeng"	0.126832
"Heryanto Arbi"	0.126472
Heerenveen	0.124944
Corretja	0.124815
Hrbaty	0.12478
"Ma Lin"	0.123698
"Guangzhou Apollo"	0.123533
Novotna	0.123238
"Phenix City"	0.123183
Olympiakos	0.123049
"Jimmy Connors"	0.123011
"Martina Hingis"	0.122469
Tarango	0.12233
"Boca Juniors"	0.12211
Starzz	0.121394
Mantilla	0.120634
Hendrawan	0.120633
"Bjorn Borg"	0.119685
Tenerife	0.11955
"Real Madrid"	0.11862
"Slovak Republic"	0.118267
"American Pete Sampras"	0.118162
"Dong Jiong"	0.117945
Bastia	0.117937
"River Plate"	0.11786
"Yang Ying"	0.117819
Mallorca	0.117735
"Sturm Graz"	0.117614
Bjorkman	0.11758
Santoro	0.117501
Panathinaikos	0.117298
Edberg	0.117015
"Bradford City"	0.116827
"Schalke @@"	0.116745
"Dai Yun"	0.116191
"Wang Liqin"	0.115448
"Leicester City"	0.114869
Korda	0.114722
"Taufik Hidayat"	0.11465
Spadea	0.114379
rios	0.114365
"Shanghai Sharks"	0.114147
"Fighting Irish"	0.113757
Gustafsson	0.113503
"Miguel Angel Jimenez"	0.113348
Vitoria	0.112697
"Beijing Ducks"	0.112132
"Arkansas State"	0.111947
"Budi Santoso"	0.111684
"Kinder Bologna"	0.11167
"Zoran Primorac"	0.111593
"American Andre Agassi"	0.111555
"Bayer Leverkusen"	0.111402
"Dynamo Kiev"	0.111142
Pioline	0.11055
"Newcastle United"	0.109936
"Coventry City"	0.109608
Zvereva	0.109592
Lapentti	0.109533
Krajicek	0.108785
Henman	0.107993
Palmeiras	0.107916
Cruzeiro	0.107726
"Shandong Flaming Bulls"	0.107
"Qingdao Hainiu"	0.106962
Necaxa	0.106158
Moya	0.105946
"Guangdong Hongyuan"	0.104843
Metz	0.104729
"Jan-Ove Waldner"	0.103475
Udinese	0.103235
Piacenza	0.102742
Galatasaray	0.102707
Valladolid	0.102274
"Montana State"	0.101288
"Old Dominion"	0.101205
Lareau	0.101007
Schnyder	0.100994
Spartak	0.100626
))
(Alberta (desc 10525.9) (sims
Manitoba	0.223456
Saskatchewan	0.188611
Ontario	0.180034
"British Columbia"	0.175583
Quebec	0.16371
Newfoundland	0.136736
"Nova Scotia"	0.131135
"New Brunswick"	0.130435
"Prince Edward Island"	0.107846
Gauteng	0.0968519
Yukon	0.0838706
Katanga	0.0752436
Hesse	0.0741596
"Lower Saxony"	0.0733779
Kwazulu-Natal	0.0729332
Shaanxi	0.0711396
Liaoning	0.0709223
Pennsylvania	0.0700992
Anhui	0.069069
Mpumalanga	0.0689188
Sichuan	0.0686699
Gansu	0.0682784
Shanxi	0.0681648
Hunan	0.06788
Punjab	0.0676981
Henan	0.0676935
Vojvodina	0.0675621
Zhejiang	0.0672354
"Western Cape"	0.0659688
Qinghai	0.0653284
BIE	0.0640425
Alaska	0.0638856
KwaZulu/Natal	0.0631015
Hainan	0.0627814
"New South Wales"	0.0625779
Wyoming	0.0624676
Guizhou	0.0621491
Guangxi	0.0618428
Yunnan	0.0617491
Shandong	0.0604736
"New York State"	0.0604511
Jilin	0.0599842
"Orange County"	0.0599242
"Northwest Territories"	0.0590989
Fujian	0.0580216
"North Dakota"	0.0579638
Cabinda	0.0571986
Victoria	0.0571505
Sindh	0.0571066
Jiangsu	0.0567789
Winnipeg	0.0566033
"New Mexico"	0.0565247
Heilongjiang	0.0564769
"Northern California"	0.0564628
Huambo	0.0563664
Luzon	0.0563061
Montana	0.0562903
Ohio	0.0561424
"New Jersey"	0.0558975
Oregon	0.0557013
Nunavut	0.0556435
Vermont	0.0549868
Herat	0.0545506
Bavaria	0.05445
Xinjiang	0.0544429
Queensland	0.0543698
Tete	0.0542225
Hebei	0.0540199
Guangdong	0.0538344
Maine	0.0534761
Colorado	0.0534413
Arkansas	0.0529975
"North Maluku"	0.05201
"Canadian province"	0.0519411
Nevis	0.0518448
Jiangxi	0.0518228
Putumayo	0.0517883
Missouri	0.0516709
Michigan	0.0516063
Siberia	0.0515925
Wisconsin	0.051374
Balochistan	0.0513626
Honduras	0.0505713
prefecture	0.050528
Idaho	0.0502095
Connecticut	0.0501161
"South Dakota"	0.050111
Louisiana	0.0500524
Massachusetts	0.0498493
"Delta State"	0.0496757
Mississippi	0.0496572
"Eastern Cape"	0.0494833
"Palm Beach County"	0.0493108
Basra	0.0490915
Ningxia	0.0489416
"rift valley"	0.0486839
Virginia	0.04833
"Los Angeles County"	0.0482624
Nevada	0.0482573
Phuket	0.0480726
"North Carolina"	0.0477253
Calgary	0.0469281
Cotabato	0.0466958
Conyers	0.0465586
"Ningxia Hui Autonomous Region"	0.0463719
Bronx	0.0463637
"Warren County"	0.0461965
Sumatra	0.0461314
Guatemala	0.0461297
Riau	0.0457933
Okinawa	0.0457224
Aceh	0.0456791
Najaf	0.045403
"East Kalimantan"	0.0453342
"Irian Jaya"	0.0450918
"Xinjiang Uygur Autonomous Region"	0.0448847
Bekaa	0.0448573
Bahamas	0.0445151
"Central Texas"	0.0444238
"Inner Mongolia"	0.0443059
"Jilin Province"	0.0439932
Savannah	0.0439248
Kansas	0.0438488
Greenland	0.0438447
"Tarim Basin"	0.0437974
Hubei	0.0435342
"South Carolina"	0.0435287
Illinois	0.0434992
Namibia	0.0434473
Zamboanga	0.0433749
Alabama	0.0432414
Bermuda	0.0430685
Gulu	0.0430529
"Johnson County"	0.0430039
ASHEVILLE	0.0427787
Oklahoma	0.0425504
"United State"	0.0423464
Regina	0.0423339
"Virgin Islands"	0.0422959
"Tarrant County"	0.0419158
"Sonoma County"	0.0419094
Nicaragua	0.0418466
Laos	0.0417513
"Southern California"	0.0416716
Stillwater	0.0416621
Bamiyan	0.0416387
Ulster	0.0414243
"Niger Delta"	0.0413923
Panama	0.0413078
highland	0.0408257
midland	0.0406487
"CHIANG MAI"	0.0406037
PNG	0.0402001
Mindanao	0.0401677
Haiti	0.0401147
))
(Alberto (desc 2559.58) (sims
Debby	0.115861
Bret	0.108627
Bonnie	0.0997865
Georges	0.0991357
Mitch	0.0958205
"Hurricane Bonnie"	0.0920889
Floyd	0.0881401
Irene	0.0712132
Andrei	0.0693618
Dennis	0.0685123
Arlene	0.0654891
Jose	0.0652633
"Hurricane Dennis"	0.064472
Dosedel	0.0635101
Cesar	0.0624564
Babs	0.061815
Celia	0.060617
Kenyon	0.0533079
Danielle	0.0527621
Alex	0.0522375
Raoux	0.052194
Isaac	0.0512489
"Hurricane Georges"	0.0511873
Ivan	0.050997
Greg	0.0508896
Tarango	0.0493891
"Kenyan shilling"	0.0487719
Paolo	0.04856
Albert	0.0474785
Lenny	0.0469223
Berasategui	0.0468617
"Sam Wyly"	0.0464317
Judith	0.0459355
Kremer	0.0456735
Gremio	0.0453777
Esposito	0.0453253
Dragomir	0.0451959
Gerald	0.045145
Likhovtseva	0.0449316
Miguel	0.0448813
Sadie	0.0440815
Veerappan	0.0439061
Bryan	0.0432903
"Dominique Moceanu"	0.0431463
Eduardo	0.042849
Jacques	0.0426709
Santoro	0.0426649
Independiente	0.0426307
Hamzah	0.0425702
CAMILLA	0.0424753
"American Chanda Rubin"	0.0421904
Edberg	0.0421369
Milo	0.0418617
Fernando	0.0416621
"battle line"	0.0414294
Damm	0.0413789
Sidney	0.0407963
"American Michael Chang"	0.0407687
"Hurricane Mitch"	0.040645
Harrer	0.0406059
"Benny Goodman"	0.0403505
Robby	0.0403199
Magaziner	0.0402049
))
("Alberto Berasategui" (desc 3655.45) (sims
"Francisco Clavet"	0.483377
"Felix Mantilla"	0.480299
"Carlos Costa"	0.478334
"Albert Costa"	0.470336
"Albert Portas"	0.429175
"Mariano Puerta"	0.415505
"Alex Corretja"	0.409116
"Sergi Bruguera"	0.405861
"Galo Blanco"	0.390813
"Javier Sanchez"	0.371715
"Carlos Moya"	0.371362
"Conchita Martinez"	0.368133
"Richard Fromberg"	0.367744
"Magui Serna"	0.356423
"Arantxa Sanchez Vicario"	0.353346
"Sandrine Testud"	0.351895
"Alberto Costa"	0.341958
"Sarah Pitkowski"	0.341929
"Nathalie Dechy"	0.340599
"Magdalena Maleeva"	0.339056
"Arantxa Sanchez-Vicario"	0.337855
"Jason Stoltenberg"	0.335889
"Julian Alonso"	0.335713
"Nicolas Escude"	0.335029
"Hernan Gumy"	0.33443
"Natasha Zvereva"	0.329628
"Thomas Enqvist"	0.328945
"Elena Likhovtseva"	0.326825
"Dominique Van Roost"	0.326034
"Andrei Medvedev"	0.325661
"Ruxandra Dragomir"	0.324687
"Magnus Gustafsson"	0.322465
"Chanda Rubin"	0.320751
"Juan Antonio Marin"	0.320572
"Irina Spirlea"	0.320443
"Sabine Appelmans"	0.319209
"Juan Carlos Ferrero"	0.318677
"Fernando Meligeni"	0.317523
"Judith Wiesner"	0.317311
"Marc Rosset"	0.314153
"Younes El Aynaoui"	0.31358
"Wayne Ferreira"	0.310807
"Anne Kremer"	0.307643
"Thomas Johansson"	0.307226
"Mary Pierce"	0.306992
"Anke Huber"	0.306874
"Jonas Bjorkman"	0.306319
"Nathalie Tauziat"	0.305149
"Marat Safin"	0.304984
"Magnus Norman"	0.304457
"Todd Woodbridge"	0.304111
"Amanda Coetzer"	0.302274
"Arnaud Clement"	0.301259
"Silvia Farina"	0.299649
"Guillaume Raoux"	0.299215
"Anne-Gaelle Sidot"	0.297748
"Greg Rusedski"	0.297294
"Christian Ruud"	0.296997
"Scott Draper"	0.29628
"Gustavo Kuerten"	0.29609
"Goran Ivanisevic"	0.295268
"Kenneth Carlsen"	0.295063
"Fabrice Santoro"	0.294834
"Vincent Spadea"	0.293989
"Richard Krajicek"	0.293357
"Sebastien Grosjean"	0.293037
"Barbara Paulus"	0.292597
"Franco Squillari"	0.292595
"Mariano Zabaleta"	0.29236
"Karim Alami"	0.29189
"Mark Woodforde"	0.290311
"Davide Sanguinetti"	0.290167
"Mark Philippoussis"	0.28936
"Mikael Tillstrom"	0.288768
"Arnaud Boetsch"	0.287974
"Iva Majoli"	0.287072
"Tamarine Tanasugarn"	0.28674
"Patty Schnyder"	0.286682
"Jeff Tarango"	0.286103
"Cedric Pioline"	0.285978
"Brenda Schultz-McCarthy"	0.285836
"Nicolas Lapentti"	0.284918
"Lisa Raymond"	0.284049
"Thomas Muster"	0.283403
"Julie Halard-Decugis"	0.280925
"Paul Haarhuis"	0.280286
"Byron Black"	0.279945
"Joannette Kruger"	0.27979
"Hicham Arazi"	0.279597
"MaliVai Washington"	0.27934
"Karol Kucera"	0.279279
"Tatiana Panova"	0.279225
"Jerome Golmard"	0.27663
"Marcelo Rios"	0.276392
"Renzo Furlan"	0.276005
"Chris Woodruff"	0.276003
"Sjeng Schalken"	0.27526
"Andrei Pavel"	0.275165
"Florencia Labat"	0.274354
"Todd Martin"	0.274024
"Michael Chang"	0.273739
"Arnaud Di Pasquale"	0.27361
"Amy Frazier"	0.271917
"Marcelo Filippini"	0.271316
"Barbara Schett"	0.2711
Siemerink	0.270528
"Andrea Gaudenzi"	0.270496
"Richey Reneberg"	0.270337
"Yayuk Basuki"	0.270165
"Filip Dewulf"	0.269845
"Ai Sugiyama"	0.269524
"Naoko Sawamatsu"	0.26871
"Dominik Hrbaty"	0.267475
"Rainer Schuttler"	0.266232
"Ramon Delgado"	0.265732
"American Todd Martin"	0.264454
"Adrian Voinea"	0.264031
"Amelie Mauresmo"	0.263983
"Nicolas Kiefer"	0.263891
"Wayne Black"	0.259815
"Andreas Vinciguerra"	0.257847
"Tim Henman"	0.257587
"Leander Paes"	0.254596
"Sargis Sargsian"	0.253149
"Alex O'Brien"	0.253059
"Yevgeny Kafelnikov"	0.252351
"South African Amanda Coetzer"	0.25217
"Li Fang"	0.251873
"Cara Black"	0.250504
"Gianluca Pozzi"	0.249457
"Jan-Michael Gambill"	0.247392
"Elena Dementieva"	0.247089
"Tommy Haas"	0.246567
"Roger Federer"	0.24481
"Olga Barabanschikova"	0.243979
"Jim Courier"	0.243495
"Tara Snyder"	0.243035
"Miriam Oremans"	0.242376
"Marcos Ondruska"	0.24156
"Grant Stafford"	0.241494
"Asa Carlsson"	0.241113
"Daniel Nestor"	0.240655
"Mark Knowles"	0.239904
"Xavier Malisse"	0.239654
"Steve Campbell"	0.239246
"American Chanda Rubin"	0.239092
"Michael Stich"	0.236274
"Brett Steven"	0.2361
"Petr Korda"	0.23584
"Patrick Rafter"	0.235095
"Alexandra Fusai"	0.234611
"Andrew Ilie"	0.233664
"Nicole Pratt"	0.231605
"Catalina Cristea"	0.231314
"Magnus Larsson"	0.230556
"Russian Yevgeny Kafelnikov"	0.229666
"Karina Habsudova"	0.228154
"Jana Novotna"	0.228058
"Jonathan Stark"	0.227186
"Justin Gimelstob"	0.225973
"David Prinosil"	0.224211
"Mary Joe Fernandez"	0.223366
"Kimiko Date"	0.221988
"Michael Tebbutt"	0.221221
"Corina Morariu"	0.22121
"Sebastien Lareau"	0.220204
"Guy Forget"	0.219513
"Vince Spadea"	0.217091
"Slava Dosedel"	0.215886
"Monica Seles"	0.215813
"Australian Mark Philippoussis"	0.213987
Clavet	0.213257
"Kristie Boogert"	0.212822
"Neville Godwin"	0.210706
"Paola Suarez"	0.209909
"Jennifer Capriati"	0.209829
Berasategui	0.209456
"Martin Damm"	0.208818
"Pat Rafter"	0.208312
"Kimberly Po"	0.20707
Corretja	0.206839
"Jacco Eltingh"	0.206794
"Rita Grande"	0.206459
"Henrieta Nagyova"	0.205102
"Kim Clijsters"	0.203937
"Daniel Vacek"	0.202587
"Andre Agassi"	0.202585
"Lindsay Davenport"	0.202462
"Bohdan Ulihrach"	0.202331
"Andres Gomez"	0.202088
"Mirjana Lucic"	0.201571
"Boris Becker"	0.199178
"Mahesh Bhupathi"	0.196838
"Venus Williams"	0.195737
Moya	0.195401
"Serena Williams"	0.195271
"Els Callens"	0.194781
"John Van Lottum"	0.193632
"Gong Zhichao"	0.193019
Halard-Decugis	0.186761
"Nicklas Kulti"	0.18599
"Stefan Edberg"	0.185265
Mantilla	0.184919
"Barbara Rittner"	0.184632
Kroslak	0.184017
"Peter Nicol"	0.183966
"Anna Kournikova"	0.182915
"Jelena Dokic"	0.181717
"American Lindsay Davenport"	0.18103
Stoltenberg	0.180866
"Rodney Eyles"	0.180414
"American Michael Chang"	0.179714
Rusedski	0.179678
"Martina Hingis"	0.178846
Sanchez-Vicario	0.178745
Kafelnikov	0.178614
Kuerten	0.178425
"Xia Xuanze"	0.178219
Swardt	0.178177
"Dai Yun"	0.177888
"Jiri Novak"	0.177586
Enqvist	0.176946
"Lori McNeil"	0.176363
"Kveta Hrdlickova"	0.170961
Majoli	0.170105
"Barbara Schwartz"	0.169121
"Camilla Martin"	0.167994
"Rika Hiraki"	0.16753
"Gong Ruina"	0.167514
"Paul Goldstein"	0.167
Kucera	0.166807
"Steffi Graf"	0.166066
Bjorkman	0.165607
"Peter Gade Christensen"	0.16524
"Fernando Escartin"	0.165196
rios	0.162197
Bruguera	0.158502
"Diego Nargiso"	0.158215
Henman	0.156369
"Max Mirnyi"	0.156297
"Sandon Stolle"	0.155582
"Briton Greg Rusedski"	0.155411
"American Pete Sampras"	0.155353
Coetzer	0.154849
"Olivier Delaitre"	0.154672
"American Andre Agassi"	0.153564
Pioline	0.152923
"Dennis van Scheppingen"	0.152702
Dragomir	0.152593
"Helena Sukova"	0.151664
"Zhang Ning"	0.15079
Ivanisevic	0.150694
"Lleyton Hewitt"	0.15019
"Sanchez Vicario"	0.149846
"Wayne Arthurs"	0.149109
Puerta	0.147998
"Ye Zhaoying"	0.145777
"Miguel Indurain"	0.145648
"Fung Permadi"	0.143876
"Wang Liqin"	0.143688
Novotna	0.143447
Mauresmo	0.14307
Testud	0.142292
"DON JOHNSON"	0.141346
"Peter Rasmussen"	0.141247
Tauziat	0.140046
Hendrawan	0.139323
"Ong Ewe Hock"	0.138309
Spirlea	0.137611
"Real Betis"	0.137602
"Wang Chen"	0.137522
"Pete Sampras"	0.137043
"Adriana Gersi"	0.136689
"Joko Suprianto"	0.136198
Sugiyama	0.135791
Seles	0.135613
Agassi	0.134914
"Athletic Bilbao"	0.133822
"Abraham Olano"	0.133292
"Jimmy Connors"	0.133106
"Alexandra Stevenson"	0.132764
Krajicek	0.131841
Kiefer	0.131219
"Atletico Madrid"	0.130946
Kournikova	0.130767
Huber	0.129572
"Carlos Sainz"	0.129448
Zvereva	0.128927
"Colo Colo"	0.128685
"Partizan Belgrade"	0.127415
Likhovtseva	0.127253
Philippoussis	0.127122
"Janet Lee"	0.127093
Haarhuis	0.126959
"Dong Jiong"	0.126839
Ulihrach	0.126822
Nacional	0.12504
"Simon Archer"	0.124633
"Mia Audina"	0.124428
Korda	0.124275
"Van Roost"	0.123909
"Budi Santoso"	0.123582
"Mats Wilander"	0.123377
Safin	0.123054
"Celta Vigo"	0.122402
Spadea	0.122119
Ferreira	0.121726
Davenport	0.121295
Rosset	0.121121
"Jansher Khan"	0.120913
Hingis	0.120641
"Denisa Chladkova"	0.120161
"Guangdong Hongyuan"	0.120061
"Heryanto Arbi"	0.11973
Schett	0.119575
"Wang Shi-Ting"	0.118835
"Jan-Ove Waldner"	0.117326
"Chen Gang"	0.116909
"Rashid Sidek"	0.116529
Schnyder	0.114658
"Slavia Prague"	0.114122
"Ji Xinpeng"	0.113761
Capriati	0.113352
"Yang Ying"	0.113071
"Liu Guoliang"	0.112951
"Kinder Bologna"	0.112393
"seeded player"	0.112288
Sevilla	0.11158
Olimpia	0.111579
"Vladimir Samsonov"	0.111443
"Kong Linghui"	0.110886
Frenchwoman	0.110702
"River Plate"	0.110445
"Weber State"	0.10929
"Velez Sarsfield"	0.109078
"Liu Yong"	0.108254
Zamalek	0.107733
"Olympique Marseille"	0.107592
"Taufik Hidayat"	0.107551
"Phenix City"	0.107481
Edberg	0.107202
Chang	0.107091
Hrbaty	0.106619
"Miguel Angel Jimenez"	0.10603
"Li Ju"	0.105999
Palmeiras	0.105976
"Wang Nan"	0.10565
"Real Madrid"	0.104592
"Chinese Taipei"	0.103752
Sampras	0.103686
Habsudova	0.1031
Olympiakos	0.102506
Gustafsson	0.102478
"Ma Lin"	0.102283
"Deportivo Coruna"	0.102211
Spaniard	0.102049
"Ge Fei"	0.101297
Costa	0.100906
Espanyol	0.100284
Anderlecht	0.100043
))
("Alberto Costa" (desc 1883.72) (sims
"Albert Portas"	0.42311
"Magui Serna"	0.387973
"Carlos Costa"	0.380359
"Felix Mantilla"	0.377708
"Julian Alonso"	0.368329
"Javier Sanchez"	0.366159
"Albert Costa"	0.365874
"Sergi Bruguera"	0.363063
"Alberto Berasategui"	0.341958
"Francisco Clavet"	0.338331
"Juan Antonio Marin"	0.319289
"Juan Carlos Ferrero"	0.307213
"Galo Blanco"	0.300054
"Younes El Aynaoui"	0.298236
"Nathalie Dechy"	0.297997
"Barbara Paulus"	0.296624
"Karim Alami"	0.296384
"Alex Corretja"	0.292443
"Scott Draper"	0.289751
"Arnaud Boetsch"	0.289381
"Mariano Zabaleta"	0.286732
"Adrian Voinea"	0.285722
"Hernan Gumy"	0.285156
"Magdalena Maleeva"	0.280305
"Amy Frazier"	0.277545
"Conchita Martinez"	0.274319
"Arantxa Sanchez Vicario"	0.272035
"Renzo Furlan"	0.269777
"Dominique Van Roost"	0.269147
"Carlos Moya"	0.269142
"Jason Stoltenberg"	0.265922
"Arantxa Sanchez-Vicario"	0.263174
"Andrei Pavel"	0.261938
"Andrew Ilie"	0.259999
"Elena Likhovtseva"	0.258071
"Anke Huber"	0.257736
"Gianluca Pozzi"	0.256172
"Sabine Appelmans"	0.255946
"Judith Wiesner"	0.255673
"Jeff Tarango"	0.255201
"Silvia Farina"	0.253624
"Vincent Spadea"	0.253575
"Sarah Pitkowski"	0.253549
"Joannette Kruger"	0.251366
"Franco Squillari"	0.250193
"Nicolas Kiefer"	0.249461
"Fabrice Santoro"	0.249389
"Asa Carlsson"	0.248868
"Jerome Golmard"	0.247761
"Kenneth Carlsen"	0.247746
"Tatiana Panova"	0.247408
"Anne Kremer"	0.246247
"Hicham Arazi"	0.243603
"Richard Fromberg"	0.242656
"Steve Campbell"	0.24176
"Nathalie Tauziat"	0.240655
"Rita Grande"	0.240581
"Christian Ruud"	0.239111
"Rainer Schuttler"	0.239077
"Thomas Muster"	0.238817
"Thomas Enqvist"	0.237146
"Nicolas Escude"	0.235515
"Xavier Malisse"	0.233574
"Florencia Labat"	0.233257
"Leander Paes"	0.228983
"Brenda Schultz-McCarthy"	0.228965
"Irina Spirlea"	0.228263
"Amelie Mauresmo"	0.227385
"Gustavo Kuerten"	0.226842
"Amanda Coetzer"	0.226064
"Roger Federer"	0.226024
"Li Fang"	0.225844
"Richard Krajicek"	0.225833
"Jonas Bjorkman"	0.225768
"Marc Rosset"	0.225751
"Mikael Tillstrom"	0.225551
"MaliVai Washington"	0.225287
"Todd Woodbridge"	0.224063
"Magnus Norman"	0.224058
"Mariano Puerta"	0.223976
"Sjeng Schalken"	0.223197
"Marcelo Filippini"	0.223177
"Mark Knowles"	0.222614
"Nicolas Lapentti"	0.222521
"Andrea Gaudenzi"	0.222024
"Goran Ivanisevic"	0.221604
"Arnaud Clement"	0.221438
"Tara Snyder"	0.221173
"Chanda Rubin"	0.220484
"Patty Schnyder"	0.219897
"Iva Majoli"	0.219753
"Magnus Gustafsson"	0.219702
"David Prinosil"	0.218252
"Marcos Ondruska"	0.218031
"Sandrine Testud"	0.217312
"Andrei Medvedev"	0.2168
"Mark Philippoussis"	0.216787
"Arnaud Di Pasquale"	0.216725
"Chris Woodruff"	0.216482
"Ruxandra Dragomir"	0.215949
"Brett Steven"	0.21568
"Michael Stich"	0.214263
"Grant Stafford"	0.213567
"Mary Pierce"	0.213303
"Naoko Sawamatsu"	0.212743
"Byron Black"	0.212323
"Julie Halard-Decugis"	0.21154
"Sebastien Lareau"	0.210812
"Wayne Ferreira"	0.210766
"Miriam Oremans"	0.210615
"Michael Chang"	0.209899
"Yayuk Basuki"	0.209473
Siemerink	0.208548
"Olga Barabanschikova"	0.208502
"Sargis Sargsian"	0.207755
"Thomas Johansson"	0.207364
"Mark Woodforde"	0.207019
"Paola Suarez"	0.206678
"Petr Korda"	0.206635
"Ai Sugiyama"	0.20662
"Karina Habsudova"	0.206551
"Michael Tebbutt"	0.206546
"Marcelo Rios"	0.206124
"Kimiko Date"	0.20508
"Sebastien Grosjean"	0.204928
"Jonathan Stark"	0.204474
"Kristie Boogert"	0.203637
"Lisa Raymond"	0.203544
"Filip Dewulf"	0.203541
"Greg Rusedski"	0.203407
"John Van Lottum"	0.203187
"Richey Reneberg"	0.203034
"Alexandra Fusai"	0.201779
"Andreas Vinciguerra"	0.201415
"Patrick Rafter"	0.201113
"Nicole Pratt"	0.200397
"Karol Kucera"	0.199807
"Barbara Schett"	0.198521
"Davide Sanguinetti"	0.198185
"Todd Martin"	0.198052
"Andres Gomez"	0.19755
"Elena Dementieva"	0.197516
"Yevgeny Kafelnikov"	0.197245
"Guy Forget"	0.197053
"Guillaume Raoux"	0.195982
"Bohdan Ulihrach"	0.195881
"Ramon Delgado"	0.195719
"Mary Joe Fernandez"	0.195634
"Els Callens"	0.195474
Berasategui	0.194677
"Tamarine Tanasugarn"	0.194593
"Neville Godwin"	0.194064
"Barbara Rittner"	0.193585
"Tim Henman"	0.193585
"Marat Safin"	0.192807
"Cedric Pioline"	0.191924
"Kim Clijsters"	0.191356
"Daniel Nestor"	0.190631
Mantilla	0.190212
"Fernando Meligeni"	0.190138
"Dennis van Scheppingen"	0.189332
"Stefan Edberg"	0.188121
"Zhang Ning"	0.187884
Likhovtseva	0.186894
"Magnus Larsson"	0.186678
"Wayne Black"	0.186293
"Tommy Haas"	0.185216
"Anne-Gaelle Sidot"	0.185189
"Pat Rafter"	0.184411
"Gong Zhichao"	0.184337
"Corina Morariu"	0.183852
"Paul Haarhuis"	0.181971
"Jan-Michael Gambill"	0.179833
"Jacco Eltingh"	0.179693
"Natasha Zvereva"	0.178561
"Helena Sukova"	0.178052
"Daniel Vacek"	0.177933
"Cara Black"	0.177233
"Jim Courier"	0.176877
"Peter Nicol"	0.176603
"Catalina Cristea"	0.175681
"Kveta Hrdlickova"	0.173852
"Barbara Schwartz"	0.173704
"Rodney Eyles"	0.173262
"Kimberly Po"	0.170209
"American Chanda Rubin"	0.169823
"Mahesh Bhupathi"	0.16973
"Henrieta Nagyova"	0.169653
"Martin Damm"	0.169227
Halard-Decugis	0.168141
"Alex O'Brien"	0.167519
"Jiri Novak"	0.166701
"Max Mirnyi"	0.166423
"Mirjana Lucic"	0.164977
"Joko Suprianto"	0.164608
"Adriana Gersi"	0.163713
Bruguera	0.163615
Swardt	0.160872
"Andre Agassi"	0.158496
"Dominik Hrbaty"	0.158103
"Jana Novotna"	0.157369
"Sandon Stolle"	0.156904
Sanchez-Vicario	0.156548
Nacional	0.15491
"Lindsay Davenport"	0.154884
Ulihrach	0.154407
Clavet	0.153521
"Venus Williams"	0.152738
Kafelnikov	0.152282
Stoltenberg	0.151954
"Boris Becker"	0.15149
"Anna Kournikova"	0.151385
"Ye Zhaoying"	0.151275
"Li Ju"	0.151029
Kroslak	0.150531
"Monica Seles"	0.150455
"Kong Linghui"	0.148751
Habsudova	0.14836
"Slava Dosedel"	0.148284
Haarhuis	0.147931
"Lleyton Hewitt"	0.146973
Prinosil	0.146934
Mauresmo	0.146871
"Rika Hiraki"	0.146718
"Wang Chen"	0.146676
"Fung Permadi"	0.145512
"Russian Yevgeny Kafelnikov"	0.145105
"Denisa Chladkova"	0.145023
"Jennifer Capriati"	0.144772
"Sanchez Vicario"	0.144083
"Vince Spadea"	0.143732
Gustafsson	0.143639
Majoli	0.143279
Enqvist	0.143174
"Miguel Indurain"	0.141236
Hrbaty	0.140555
"Jelena Dokic"	0.140441
"Paul Goldstein"	0.139556
Zamalek	0.139526
Sevilla	0.138426
Testud	0.136989
"Partizan Belgrade"	0.136964
Ivanisevic	0.136662
Bjorkman	0.136295
Santoro	0.136
Hendrawan	0.135491
"Dai Yun"	0.135343
"Athletic Bilbao"	0.135195
"Serena Williams"	0.13514
"Gong Ruina"	0.13504
"Abraham Olano"	0.134477
"Diego Nargiso"	0.133839
"Nicklas Kulti"	0.133759
Coetzer	0.133583
"Xia Xuanze"	0.133157
Estudiantes	0.132653
Kuerten	0.132116
"Yang Ying"	0.131299
"Ong Ewe Hock"	0.131246
"Wang Nan"	0.131121
"American Pete Sampras"	0.1307
Damm	0.129916
Schnyder	0.129472
Tarango	0.129266
"Justin Gimelstob"	0.128795
Rosset	0.128605
Schett	0.128082
"Wang Shi-Ting"	0.128042
"Taufik Hidayat"	0.127681
"American Todd Martin"	0.127537
Korda	0.127311
"Steffi Graf"	0.127152
"Real Betis"	0.126644
"Deportivo Coruna"	0.126571
Olimpia	0.126295
"Pete Sampras"	0.125855
Corretja	0.125761
"Wang Liqin"	0.125146
Ferreira	0.125079
"Wayne Arthurs"	0.124233
Novotna	0.124136
"Liu Guoliang"	0.123917
Moya	0.123821
"Camilla Martin"	0.123428
Spadea	0.123272
"Ji Xinpeng"	0.123083
Kucera	0.123007
"Martina Hingis"	0.122851
"DON JOHNSON"	0.122764
Sugiyama	0.122552
Raoux	0.122201
"Mia Audina"	0.121975
"Peter Rasmussen"	0.121919
Schalken	0.121516
Pioline	0.121419
Lapentti	0.120823
Penarol	0.120669
"Sandra Kleinova"	0.120153
"Peter Gade Christensen"	0.119623
rios	0.119603
"Mats Wilander"	0.119477
Independiente	0.119432
"Katarina Studenikova"	0.11864
"Jansher Khan"	0.118408
"Ma Lin"	0.11832
"Budi Santoso"	0.118112
Dragomir	0.117532
Rusedski	0.117431
"Chen Jing"	0.117332
"Olympiakos Piraeus"	0.117164
"South African Amanda Coetzer"	0.117139
Gimelstob	0.117024
Henman	0.115715
"Lori McNeil"	0.115444
Vitoria	0.114892
"Celta Vigo"	0.114751
"Janet Lee"	0.114574
"Fernando Escartin"	0.114213
"American Michael Chang"	0.113869
"Slavia Prague"	0.112104
"Colo Colo"	0.111544
Dosedel	0.111326
"Olivier Delaitre"	0.10947
Spirlea	0.109208
"Dong Jiong"	0.109018
Taufik	0.108777
Edberg	0.108688
Espanyol	0.108644
Kiefer	0.107581
"Vladimir Samsonov"	0.107557
Safin	0.107469
"Rashid Sidek"	0.106871
Medvedev	0.106516
Sidot	0.105578
"AEK Athens"	0.105276
Anderlecht	0.104492
Krajicek	0.103554
Panathinaikos	0.103175
"Heryanto Arbi"	0.102771
"Bradford City"	0.102725
Woodforde	0.102677
Valencia	0.102626
Gambill	0.102495
Gaudenzi	0.102262
Lareau	0.102106
"LA Lakers"	0.101173
Capriati	0.101138
"River Plate"	0.101083
"Alexandra Stevenson"	0.100595
"Atletico Madrid"	0.100423
"Bjorn Borg"	0.100327
Huber	0.1002
))
("Alberto Fujimori" (desc 2268.31) (sims
"Carlos Menem"	0.274196
"Andres Pastrana"	0.250351
"Fernando Henrique Cardoso"	0.245507
"Ernesto Zedillo"	0.237707
"Jamil Mahuad"	0.225642
"Jacques Chirac"	0.19957
"Pasteur Bizimungu"	0.178265
"Alexander Lukashenko"	0.17792
"Kim Dae Jung"	0.175304
"Thabo Mbeki"	0.171647
"Martti Ahtisaari"	0.170014
"Franjo Tudjman"	0.166364
"Hosni Mubarak"	0.160289
"Olusegun Obasanjo"	0.159815
"Lamberto Dini"	0.159594
"Yoweri Museveni"	0.151284
"Amr Moussa"	0.150835
"Vaclav Havel"	0.149396
"Ismail Cem"	0.14258
"Joaquim Chissano"	0.140736
"Mohammad Khatami"	0.138725
"Robert Mugabe"	0.137848
"Suleyman Demirel"	0.135655
"Igor Ivanov"	0.134441
"Joseph Estrada"	0.132145
"Wang Daohan"	0.132137
"Goran Persson"	0.122168
"Kamal Kharrazi"	0.12089
"Radu Vasile"	0.118591
"Inder Kumar Gujral"	0.118391
"Abdurrahman Wahid"	0.118187
"Igor Sergeyev"	0.118082
"Ketumile Masire"	0.117732
"Hugo Chavez"	0.116863
"Abdullah Ahmad Badawi"	0.116377
"Paavo Lipponen"	0.115877
"Vaclav Klaus"	0.114977
"Ivan Kostov"	0.114561
"Romano Prodi"	0.114133
"Milos Zeman"	0.113005
"Laurent Kabila"	0.111749
"Hafez Assad"	0.111413
"Klaus Kinkel"	0.110227
"Charles Taylor"	0.109587
"John Bruton"	0.109275
"B.J Habibie"	0.10894
"Pierre Buyoya"	0.108697
"Paul Kagame"	0.108678
"Mikulas Dzurinda"	0.10646
"Vladimir Putin"	0.105878
"I.K Gujral"	0.105498
"Antonio Guterres"	0.104864
"Jerzy Buzek"	0.104339
"Tang Jiaxuan"	0.103504
"Aslan Maskhadov"	0.102869
"Benjamin Mkapa"	0.102786
"Costas Simitis"	0.102604
"Sartaj Aziz"	0.101883
"Jacques Santer"	0.100308
"Wim Duisenberg"	0.0990811
"Alija Izetbegovic"	0.0989782
"Sepp Blatter"	0.0986591
"Boris Yeltsin"	0.0982777
"Chi Haotian"	0.0980662
"Atal Behari Vajpayee"	0.0980107
"Qian Qichen"	0.0978236
"David Levy"	0.097447
"Wim Kok"	0.0974334
"Sheikh Hasina"	0.096841
"Jaswant Singh"	0.0963584
"Bertie Ahern"	0.0959916
"Jose Maria Aznar"	0.0952471
"Kim Jong Il"	0.0950382
"Jiang Zemin"	0.0938639
"Ung Huot"	0.093647
"Koo Chen-fu"	0.0935772
"Fidel Castro"	0.0935725
"Biljana Plavsic"	0.0932327
al-Bashir	0.0930135
"Sali Berisha"	0.0929548
"Frederick Sumaye"	0.0929109
"Sam Nujoma"	0.0928121
"Yoshiro Mori"	0.0927955
"Nelson Mandela"	0.0918709
"John Major"	0.0913402
Rua	0.0913173
Bashir	0.090828
"Atal Bihari Vajpayee"	0.0899231
Luong	0.0896893
"Hubert Vedrine"	0.0894403
"Jean Chretien"	0.0893885
"Zhu Rongji"	0.0892343
"John Sweeney"	0.0891499
"Harry S. Truman"	0.0885325
el-Bashir	0.0877209
Al-Faisal	0.0874133
"Viktor Chernomyrdin"	0.0873519
"Fatos Nano"	0.087345
"Girija Prasad Koirala"	0.0873374
al-Sharaa	0.0872402
"Deve Gowda"	0.0871485
"Goh Chok Tong"	0.0866466
"Valery Pustovoitenko"	0.0865313
el-Ganzouri	0.0863407
"Joschka Fischer"	0.0860774
"P.V Narasimha Rao"	0.0860067
"Vo Van Kiet"	0.0853784
Stoyanov	0.0852978
Shui-bian	0.0851648
"Nikola Poplasen"	0.0844332
"Mesut Yilmaz"	0.0842339
Eduardo	0.0834414
Mkapa	0.0832053
"Chavalit Yongchaiyudh"	0.0831893
"Lokendra Bahadur Chand"	0.0827828
Dae-jung	0.0826881
"Ricardo Alarcon"	0.0826484
"Juan Antonio Samaranch"	0.0824188
"Dave Checketts"	0.0821773
"Chuan Leekpai"	0.0821426
"Bulent Ecevit"	0.0819818
"Yevgeny Primakov"	0.081777
"Yasser Abed Rabbo"	0.0816504
Fujimori	0.0815712
"Atef Obeid"	0.0815112
"Than Shwe"	0.0813135
"Milorad Dodik"	0.0809098
"Phan Van Khai"	0.0805783
Kwasniewski	0.0805389
"Alain Juppe"	0.0800228
"Benazir Bhutto"	0.0798268
Narayanan	0.0797935
"Jenny Shipley"	0.0794742
al-Khatib	0.0793603
"Robin Cook"	0.0793341
"Lionel Jospin"	0.0780946
"George Robertson"	0.0776331
"Pandeli Majko"	0.0775911
"Moammar Gadhafi"	0.0774499
"Xanana Gusmao"	0.0771996
"Mikhail Gorbachev"	0.0770036
"King Abdullah II"	0.0770034
"James P. Hoffa"	0.0759501
"Tom Welch"	0.0759403
"Keizo Obuchi"	0.0757488
"Steve Ballmer"	0.0753465
Phieu	0.075283
Moi	0.0749425
"Mahathir Mohamad"	0.0747174
"Krishna Prasad Bhattarai"	0.0744778
al-Shara	0.07367
"Abidine Ben Ali"	0.0731209
"Madeleine Albright"	0.0729725
"Sonia Gandhi"	0.0728559
"Necmettin Erbakan"	0.0727776
"Victor Chernomyrdin"	0.0720415
"Rafik Hariri"	0.0716493
"Chea Sim"	0.0712411
"Ernie Grunfeld"	0.0705896
"Bashkim Fino"	0.0704739
"Warren Christopher"	0.07042
"Meles Zenawi"	0.070274
Patasse	0.0702556
Clerides	0.0701021
Scalfaro	0.0699013
"Slobodan Milosevic"	0.0697818
"Felipe Gonzalez"	0.0692827
"Wang Yeping"	0.0692409
Demirel	0.069224
"Gerald Ford"	0.0691852
"De Klerk"	0.0690459
"Ricardo Lagos"	0.0684914
Yandarbiyev	0.0682879
"Li Peng"	0.0682467
"Lech Walesa"	0.0680279
Shevardnadze	0.0676751
Masire	0.0671464
"Oded Eran"	0.0669426
"Orlando Mercado"	0.0668658
Klerk	0.0665669
"Pascoal Mocumbi"	0.0665651
"Carlos Salinas"	0.0665209
"John Howard"	0.0663859
Pangalos	0.0663653
"Nawaz Sharif"	0.0661179
Gaddafi	0.0656081
"Joao Havelange"	0.0653903
"Gerry Adams"	0.0653599
"Kim Il Sung"	0.0647662
"Ariel Sharon"	0.0645587
"Frank Joklik"	0.0644275
"Ryutaro Hashimoto"	0.0641858
Mbeki	0.0641783
Leghari	0.064175
"Boutros Boutros Ghali"	0.0639792
"President Kim Young-sam"	0.0639027
"Binyamin Netanyahu"	0.0636962
Klestil	0.0634583
Museveni	0.0629791
"Megawati Soekarnoputri"	0.0628573
))
("Alberto Tomba" (desc 2545.08) (sims
"Deborah Compagnoni"	0.322479
"Max Biaggi"	0.24059
"Fiona May"	0.235467
"Katja Seizinger"	0.234064
"Linford Christie"	0.20583
"Picabo Street"	0.205003
"Renzo Furlan"	0.197575
"Miguel Indurain"	0.195726
"Hermann Maier"	0.183136
"Alexander Popov"	0.175558
"Fu Mingxia"	0.174181
"Isolde Kostner"	0.170898
"Deon Hemmings"	0.169921
"Marie-Jose Perec"	0.165927
"Pernilla Wiberg"	0.159273
"Carl Lewis"	0.156118
"Jackie Joyner-Kersee"	0.156002
"Allen Johnson"	0.153077
"Marco Pantani"	0.146887
Shuwei	0.145143
"Kieren Perkins"	0.141809
"Thomas Stangassinger"	0.141146
"Katarina Witt"	0.139429
"Derrick Adkins"	0.137894
"Renato Ruggiero"	0.137663
"Bobby Rahal"	0.137339
"Alexei Nemov"	0.135886
"Francesco Casagrande"	0.135581
"Claudia Poll"	0.133898
"Liu Guoliang"	0.133641
"Michele Bartoli"	0.133037
"Michael Johnson"	0.132144
"Alex Zanardi"	0.132132
"Susi Susanti"	0.131274
Tomba	0.129901
"Silvia Farina"	0.129221
"Wang Yifu"	0.127402
"Cathy Freeman"	0.126829
"Susie O'Neill"	0.126481
"Oksana Kazakova"	0.12431
"Hilde Gerg"	0.123559
"Prada Challenge"	0.123551
"Michelle Smith"	0.12353
"Irina Slutskaya"	0.122659
"Li Jiajun"	0.121177
"Simona Amanar"	0.120928
"Kinder Bologna"	0.120331
"Jan-Ove Waldner"	0.120182
"Johan Cruyff"	0.119689
"Felix Savon"	0.119515
"Tom Dolan"	0.118578
"Paul Tergat"	0.117567
"Gordie Howe"	0.117538
"Penny Heyns"	0.117218
"Chen Lu"	0.116947
"Moses Tanui"	0.116314
"Gianluca Pozzi"	0.116099
"Fatuma Roba"	0.115848
Maier	0.115792
"Alexandra Meissnitzer"	0.115136
"Lasse Kjus"	0.115118
"Christine Arron"	0.114817
"Gail Devers"	0.11469
"Marc Rosset"	0.114576
"Martina Navratilova"	0.114174
"Andrea Gaudenzi"	0.114053
"Kimiko Date"	0.113966
"Deng Yaping"	0.1135
"Dominique Moceanu"	0.113231
"Mario Cipollini"	0.112952
"Anita Wachter"	0.112742
"Heike Drechsler"	0.112232
"Elvis Stojko"	0.111945
"Donovan Bailey"	0.111757
"Denis Pankratov"	0.111041
"Maria Butyrskaya"	0.110844
"Charles Austin"	0.11051
"Steffi Graf"	0.11008
"Johnny Tapia"	0.108146
"Renate Goetschl"	0.108094
"Le Jingyi"	0.108005
"Kong Linghui"	0.107983
"Dennis Mitchell"	0.107727
"Eddie Cheever"	0.107613
"Xiong Ni"	0.107515
"Mario Andretti"	0.107277
"Yu Zhuocheng"	0.106587
"Bjorn Borg"	0.106391
"Jesse Owens"	0.106304
"Billie Jean King"	0.106007
"Alexei Urmanov"	0.10516
Edberg	0.104528
"Michael Von Gruenigen"	0.104376
"David Reid"	0.104312
"Roy Jones Jr."	0.103986
"Darrell Waltrip"	0.103621
Waldner	0.103435
"Koji Ito"	0.103235
"Merlene Ottey"	0.102857
"Svetlana Masterkova"	0.102781
"Bobby Charlton"	0.102406
"Ivan Pedroso"	0.102201
"Wang Junxia"	0.101855
"Anatoly Karpov"	0.101753
"Tara Lipinski"	0.101603
"Gary Hall"	0.101534
"Jean-Philippe Gatien"	0.101434
"Favorite Trick"	0.100567
"Julio Cesar Chavez"	0.0998783
"Ge Fei"	0.0995232
kayaker	0.0992803
"Michelle Kwan"	0.0990416
"John Godina"	0.098818
"Bjarte Engen Vik"	0.0982905
"Jorgen Persson"	0.0981604
"Jeff King"	0.0979769
"Al Joyner"	0.0978922
"Pat Rafter"	0.0974619
"Tommi Makinen"	0.0969096
"Chen Jing"	0.0967428
"Maria Mutola"	0.0966359
"Diego Maradona"	0.0966201
"Oksana Baiul"	0.0966057
"Liu Limin"	0.0964766
"Svetlana Khorkina"	0.0964201
"Gunda Niemann-Stirnemann"	0.0963576
"Amy van Dyken"	0.0959007
"Buster Douglas"	0.0956074
"Martin Schmitt"	0.0955519
"Dan O'Brien"	0.0955024
"Colin McRae"	0.0953084
"Randy Barnes"	0.0952324
Agip	0.0944208
"Kostya Tszyu"	0.0943977
"Ricky Subagja"	0.0942871
"Richard Petty"	0.0941111
"Wang Tao"	0.0938539
"Arie Luyendyk"	0.0938197
"Peter Rasmussen"	0.0936043
"Mario Lemieux"	0.0933432
Rahal	0.0933395
"Jennifer Capriati"	0.0927995
"Christian Vieri"	0.092741
Ottey	0.0925945
"Michael Stich"	0.0925938
"Inger Miller"	0.0920913
Devers	0.0920345
"Dong Jiong"	0.0914316
"Todd Eldredge"	0.0913938
"Sergei Bubka"	0.0913308
"Boris Becker"	0.0910248
"Heryanto Arbi"	0.0905671
"Lin Li"	0.0900324
"Haile Gebrselassie"	0.0899971
"Jenny Thompson"	0.089973
"Johan Museeuw"	0.0898872
"Daniel Kowalski"	0.0896765
"Rita Grande"	0.0893993
"Rod Laver"	0.0892927
"A.J Foyt"	0.0890408
"Florence Griffith Joyner"	0.0890189
"Samantha Riley"	0.0888448
"Franz Beckenbauer"	0.0878814
"Noureddine Morceli"	0.0878388
"Alexei Yagudin"	0.0875508
Sainz	0.0872502
"Jansher Khan"	0.0871482
"Frankie Fredericks"	0.0870968
"Michael Klim"	0.0860184
"Michael Doohan"	0.0859167
"Blaine Wilson"	0.0857026
"Li Xuemei"	0.0856631
"Maurice Greene"	0.0850348
"Javier Sotomayor"	0.0849671
"Elena Berezhnaya"	0.0849517
"Juha Kankkunen"	0.0848206
"Bruce Lee"	0.084689
"George Foreman"	0.0843536
Sautin	0.0843204
"Brooke Bennett"	0.084313
"Irina Privalova"	0.0841423
"Sergi Bruguera"	0.0838716
"Frank Bruno"	0.083759
"Sandra Voelker"	0.0834162
"Oliver McCall"	0.0832898
"Mia Audina"	0.0832124
Dosedel	0.0830741
"Rodney Eyles"	0.0827476
"Huang Xu"	0.0826925
"Damon Hill"	0.0817495
"Thomas Muster"	0.0814711
"Rexy Mainaky"	0.0813836
"Russian Yevgeny Kafelnikov"	0.0812593
"Davide Sanguinetti"	0.0808621
"Fabrice Santoro"	0.0808421
"Jacques Villeneuve"	0.0808285
"Ato Boldon"	0.080806
Takanonami	0.0807753
"Vanessa Atler"	0.0806733
"Wayne Gretzky"	0.0805657
))
(Albertson's (desc 2532.81) (sims
Safeway	0.27165
Kroger	0.246437
Publix	0.230389
"Food Lion"	0.205828
"Fred Meyer"	0.190334
"Rite Aid"	0.172855
NiSource	0.166284
Stratus	0.166059
"Whole Foods"	0.161021
CVS	0.152449
GANNETT	0.142171
"J.C. Penney"	0.138061
McKesson	0.138059
"Phelps Dodge"	0.136994
Costco	0.135965
ENTREMED	0.1359
"Adobe Systems"	0.135654
Emulex	0.131652
Medtronic	0.124407
Healtheon/WebMD	0.122915
"Circuit City"	0.119205
Checkfree	0.118274
Alltel	0.117972
"Best Buy"	0.117525
TELLABS	0.115602
"Computer Associates"	0.115505
"Ask Jeeves"	0.114914
Ameritech	0.114798
"Waste Management"	0.114175
"Sara Lee"	0.113832
Sunbeam	0.113117
Asda	0.111899
Litton	0.111181
Honeywell	0.11114
"Toys R Us"	0.110574
ExciteAtHome	0.109829
Walgreens	0.109189
Echostar	0.107834
WELLPOINT	0.107498
WorldCom	0.106625
XYLAN	0.106554
Aetna	0.105709
TYCO	0.105576
EMC	0.105254
PLDT	0.10501
RJR	0.105006
Cisco	0.104578
VENATOR	0.104525
CMGI	0.104069
Hasbro	0.103918
UAL	0.103681
ALZA	0.103586
Healtheon	0.103206
"Learning Co."	0.10303
Cargill	0.10298
emachines	0.102948
"Dayton Hudson"	0.102521
Sears	0.102019
Webvan	0.101338
Walmart	0.101282
Genzyme	0.100793
"UAL Corp."	0.100464
Nortel	0.100185
"P&AMP;G"	0.0996515
Cabletron	0.0995902
GPU	0.0982368
"Con Ed"	0.0981629
"National Grid"	0.0981068
Staples	0.0980428
Sepracor	0.0979432
Tenneco	0.0974327
"Hearst Corporation"	0.0972012
Seagram	0.0970968
TRW	0.096902
Wal-Mart	0.0968254
"Tribune Co."	0.0967252
Goodrich	0.095816
CompUSA	0.0957844
"International Paper"	0.0952237
"Barnes &AMP; Noble"	0.0951798
Georgia-Pacific	0.0949206
eToys	0.0947935
Broadcom	0.0946132
Cendant	0.0945974
"MCI WorldCom"	0.0942776
SBC	0.094264
YPF	0.0942505
ENTERGY	0.093649
Equifax	0.0932537
ARCO	0.0931013
Exxon	0.0930338
Dupont	0.0928677
Pfizer	0.0928653
Monsanto	0.0928098
AlliedSignal	0.0927684
"Texas Instruments"	0.0925979
Agilent	0.0925749
Genentech	0.0924338
Peapod	0.0920844
Enron	0.0920739
Mobil	0.0916738
"Sharper Image"	0.0916092
Bestfoods	0.0913343
AutoNation	0.0913054
Qwest	0.0911065
"Softbank Corp."	0.0911063
Cadbury	0.0909266
Raytheon	0.0908826
MiniMed	0.0905836
Autodesk	0.0902175
Lycos	0.0900766
TCI	0.0900562
AMR	0.089573
Amoco	0.0894257
SkyTel	0.0893876
Maytag	0.0892622
"Network Associates"	0.0891223
Roche	0.0888
AHP	0.0885944
SFX	0.0881475
Caldor	0.0880358
E-LOAN	0.0876873
Halliburton	0.0876197
"BP Amoco"	0.0872723
Saks	0.086767
SGI	0.0867582
GTE	0.0867142
iXL	0.0867048
Omnipoint	0.086646
DrKoop.com	0.0865741
PEOPLESOFT	0.086431
Kmart	0.0862632
Terra	0.08576
Drugstore.com	0.0856885
Tropicana	0.0851437
Networks	0.0849347
Weyerhaeuser	0.0848966
"Home Depot"	0.0847455
USEC	0.0845312
Novell	0.0843755
AMC	0.0840612
EarthLink	0.0837059
"New York Times Co."	0.0837041
"Cadbury Schweppes"	0.0835886
Bae	0.0835151
Alcoa	0.0834471
"Federated Department Stores"	0.0833613
Unilever	0.0832809
"True North"	0.0831678
Viacom	0.0830849
Allstate	0.0829042
Starwood	0.0828171
Mattel	0.0825341
Penney	0.0825235
Humana	0.082458
BankAmerica	0.0823307
"Coca-Cola Enterprises"	0.0822593
"KCP&AMP;L"	0.0821701
"Times Co."	0.0821331
Schlumberger	0.0820747
Comcast	0.0819781
Broderbund	0.0816804
Vivendi	0.081319
Inktomi	0.081142
Airtouch	0.0810714
SunTrust	0.0806886
Asarco	0.0806381
Chevron	0.0804889
Starbucks	0.0804736
Vodafone	0.0802244
Hilton	0.0802025
"Gap Inc."	0.0802021
Gilead	0.0801969
Lockheed	0.0801252
Chiron	0.0800148
Corning	0.0799315
RealNetworks	0.0798778
Seagate	0.0798102
"Bausch &AMP; Lomb"	0.0797563
"Global Crossing"	0.07963
"American Home Products"	0.0795228
NORTHROP	0.0794225
Xerox	0.0791611
"Philip Morris"	0.0790005
Infoseek	0.0789829
Comsat	0.0786994
Norwest	0.0786658
Unisys	0.0786499
"J&AMP;J"	0.07852
oracle	0.0784037
Bridgestone	0.0783843
"News Corp."	0.0783717
"Thermo Electron"	0.0783472
Carrefour	0.0779386
"Kraft Foods"	0.0779144
COLTEC	0.0778286
Pepsico	0.0777729
"Air Canada"	0.077677
DoubleClick	0.0775217
Qualcomm	0.0772952
))
(Albertville (desc 1794.55) (sims
Lillehammer	0.222981
Nagano	0.168221
"World Junior Championships"	0.157
Grenoble	0.156231
"Barcelona Olympics"	0.139508
Chamonix	0.131408
"Lake Placid"	0.123962
"Barcelona Games"	0.121497
Sapporo	0.0971753
"Asian Championships"	0.0953932
"Atlanta Games"	0.085382
Avignon	0.0848413
"Atlanta Olympic Games"	0.0815715
Calgary	0.0802195
"Seoul Olympics"	0.0784039
"Pan Am Games"	0.0746324
"Laurent Brochard"	0.074225
"Nagano Olympics"	0.07075
Nago	0.0687758
"Le Mans"	0.0683831
Universiade	0.0670814
Innsbruck	0.0666482
Dunkirk	0.0663686
Limoges	0.0660596
Dijon	0.0657616
"Paris St Germain"	0.0657585
"Arnaud Di Pasquale"	0.0654026
"World Championships"	0.0643208
"Salt Lake"	0.0636891
"Atlanta Olympics"	0.0610805
"Jean-Philippe Gatien"	0.0606907
Zakopane	0.0598851
Calais	0.0598585
"World Cycling Championships"	0.0594394
Versailles	0.0575351
"World University Games"	0.0564448
"Sarah Pitkowski"	0.0564297
"Pan Ams"	0.0563868
"Arnaud Boetsch"	0.0562403
"Olivier Delaitre"	0.0554952
"Guy Forget"	0.0554475
Lille	0.0552281
Gadsden	0.0551448
"Phenix City"	0.0551301
"Didier Auriol"	0.0541772
Marseilles	0.0540292
Rennes	0.0539791
"Nathalie Dechy"	0.0532127
Lewiston	0.0531169
"Wichita Falls"	0.0527414
"World Swimming Championships"	0.0526301
"Eighth National Games"	0.0524065
"Centennial Olympic Games"	0.0521659
"Nicolas Escude"	0.0516522
Toulouse	0.0509753
"Commonwealth Games"	0.0509737
"Winter Olympics"	0.0504065
"East Asian Games"	0.0502642
"Thunder Gulch"	0.0494981
Seville	0.0492058
"Winning Colors"	0.0481595
Bastia	0.0480268
Nantes	0.0475262
"Monmouth County"	0.0474414
Marjayoun	0.0472
"National Games"	0.0469159
Strasbourg	0.0468491
Montpellier	0.0468254
"shot put"	0.0464508
Reykjavik	0.0462252
Bayonne	0.0454268
"European Championships"	0.0451118
Smithfield	0.0450655
"Bangkok Asian Games"	0.0450298
Duluth	0.0448498
"Winter Olympic Games"	0.0448409
Asiad	0.0441863
"Sebastien Grosjean"	0.0440173
Dunedin	0.0439578
"Goodwill Games"	0.0433445
breaststroke	0.0431386
"Olympique Marseille"	0.042169
"Division I-AA"	0.041677
Macoris	0.0416156
Sestriere	0.0413059
backstroke	0.0411337
"Sydney Games"	0.0409848
Makhachkala	0.0407945
Vukovar	0.0407261
"World Figure Skating Championships"	0.0407132
"Pan American Games"	0.0402228
))
(Albrecht (desc 1369.69) (sims
Greenwald	0.145083
Jaffe	0.120243
Hamlin	0.113347
Lockwood	0.111747
"sleeping beauty"	0.106233
Kurth	0.101386
Cleary	0.0978802
Lowry	0.0953501
Barad	0.0896071
Wasserstein	0.0894073
Deneuve	0.0883431
Menchu	0.0877693
Baum	0.086603
Huffington	0.0863253
Couric	0.0862374
Hahn	0.0860473
Farrell	0.0846702
Bassett	0.0845072
Fiorina	0.0840983
Tharp	0.0835993
McDonnell	0.0835854
Ikimi	0.0833233
Pape	0.0830238
Tuttle	0.0829618
Orton	0.0826003
Knapp	0.0822466
Nutcracker	0.0820113
Rowley	0.0817287
Ashrawi	0.081401
Janssen	0.0805414
LeFave	0.0801393
Newhouse	0.0798987
Rosenthal	0.0795888
Tilberis	0.0794595
Cline	0.079309
Swanson	0.0790169
Hecht	0.0781845
Rupert	0.0779667
Mucha	0.0773275
Mapes	0.0770694
Henning	0.0765805
Jeffers	0.0760166
Atkinson	0.0757035
Bernhard	0.0750756
Giselle	0.0746441
Rivlin	0.0742111
Portnoy	0.0741503
Mortimer	0.0739479
Mei	0.0738654
Meissner	0.0737793
Cui	0.0736713
Trevi	0.0734674
Sheedy	0.0734413
Lurie	0.0734284
Brazile	0.0731958
Mckee	0.072825
Berenson	0.0727891
O'Hara	0.072501
DeFrantz	0.0722029
Grunwald	0.072056
Rubinstein	0.0719849
Shulman	0.0717527
Kingsley	0.0716871
Zuckerman	0.0715593
pressman	0.0714383
McLachlan	0.0712468
Pierson	0.0709781
Carmichael	0.0706244
Ricart	0.0705832
Edson	0.0702877
Barzani	0.0701342
Seligman	0.0701219
Sheng	0.0700661
Wiggins	0.0700153
Jamison	0.0697968
Shen	0.0692246
Slatkin	0.0691726
Midler	0.0691488
COYNE	0.0691203
Berman	0.0690742
Shapiro	0.0688982
Conner	0.0686859
Farber	0.0683792
McCurry	0.0681709
Qu	0.068016
Adler	0.0674405
Bening	0.0674351
Dyson	0.0672949
Betts	0.0672162
Rowe	0.067136
Jensen	0.0670318
Roberson	0.0668742
Briscoe	0.0668138
Schafer	0.066812
Greco	0.0665943
Nilsson	0.0665431
Fink	0.066038
LU	0.0660306
Bruton	0.065909
Paciello	0.0657141
Markovic	0.065649
Grimes	0.0656303
Chabot	0.0654127
Kurtz	0.0653866
Lehmann	0.065386
Setzer	0.0653358
McMullen	0.0653094
Yastrzhembsky	0.065104
Krall	0.0649301
Modise	0.0649009
Copeland	0.0646731
Hartley	0.0646214
Britton	0.0645694
Heyward	0.0645586
Northup	0.0645539
Gerstner	0.064398
Arron	0.0643912
Taymor	0.0642912
Scruggs	0.0642635
Goldin	0.0639976
Streep	0.0639854
Sheehy	0.063952
Blackthorne	0.0638321
Kirkpatrick	0.0637353
McGuinness	0.0636332
Bushnell	0.0636023
Madden	0.0631356
Morley	0.0630285
Haines	0.0629971
Mott	0.0629081
"McCaughey Ross"	0.0628153
Moscoso	0.0626951
Ackerman	0.0625207
Streisand	0.0624764
"Swan Lake"	0.0624632
Suarez	0.0624527
Pearce	0.062448
Sorensen	0.0624352
Ono	0.0622881
Snowe	0.0621473
Godfrey	0.0621217
Abram	0.0620716
Feng	0.0618514
McPherson	0.0616731
Fay	0.0616678
Stahl	0.0616064
Zheng	0.0615184
Tsang	0.0614869
Zhao	0.0614683
Arbour	0.0614552
Dench	0.0614062
Chenoweth	0.0614024
Wendt	0.0612904
Gillespie	0.0612014
bock	0.0610075
Muckler	0.0609316
Rowan	0.0607009
Garber	0.060633
Khai	0.0606098
Freedman	0.0605989
McDaniel	0.0601928
FAWCETT	0.0601838
Winfrey	0.0601465
Pascal	0.0600765
Donohue	0.0600258
Ibarra	0.0599079
O'Sullivan	0.0598228
Lowery	0.0598175
Kagalovsky	0.0596303
Manheim	0.0596118
Brenner	0.0594952
Grossberg	0.0593749
Kusama	0.0593069
Dunham	0.0592848
Baer	0.0592709
Tarrin	0.0592543
Bragg	0.0590319
Corcoran	0.0589879
Lai	0.058977
Wesson	0.0588144
Winslet	0.0587787
Theron	0.0586989
Webdale	0.0585903
Rong	0.0584498
Weil	0.0583427
burrows	0.0582693
Galindo	0.0582195
Schmitz	0.058069
Marchand	0.0580386
Merritt	0.0580167
McIntyre	0.0580026
Hadley	0.0579799
Klebold	0.0579614
Ingalls	0.0578803
Allchin	0.0577966
Hickman	0.0575146
Ciampi	0.0573756
Redgrave	0.0573731
Lerner	0.0571998
Nasrin	0.0571616
))
(Albright (desc 37106.9) (sims
"secretary of state"	0.218828
Annan	0.208325
Cohen	0.206898
Arafat	0.202633
Chirac	0.201505
Mubarak	0.199617
Vedrine	0.181333
"William Cohen"	0.179505
Primakov	0.178239
Blair	0.176885
Barak	0.174064
Jiang	0.173708
Holbrooke	0.17078
Moussa	0.168946
Talbott	0.165076
Mandela	0.163008
Ivanov	0.16284
Kharrazi	0.161555
Komura	0.160801
Zhu	0.160494
Schroeder	0.159046
Aziz	0.158278
Netanyahu	0.157672
Solana	0.157244
Dini	0.154586
Cem	0.153803
Qian	0.152359
Yeltsin	0.151996
Ross	0.151362
"Tony Blair"	0.15035
"Kofi Annan"	0.150327
Clinton	0.148549
Chernomyrdin	0.14845
"Ehud Barak"	0.147772
Sergeyev	0.147636
Pangalos	0.146378
Putin	0.14622
envoy	0.146078
al-Sharaa	0.144691
"Yevgeny Primakov"	0.143976
Peres	0.142647
Berger	0.14168
Vajpayee	0.140819
"de Charette"	0.137976
Sharif	0.137713
"Benjamin Netanyahu"	0.137281
Hashimoto	0.137048
Christopher	0.136259
Kinkel	0.136127
Obuchi	0.1346
Shareh	0.134243
Nzo	0.133516
Weizman	0.132324
"Atal Bihari Vajpayee"	0.131204
Mbeki	0.131137
Chretien	0.130955
Jospin	0.129724
al-Assad	0.129624
Goh	0.129396
Ikeda	0.128957
Barshefsky	0.128726
Siazon	0.128029
"Binyamin Netanyahu"	0.128018
Rubin	0.127922
"King Hussein"	0.126608
Demirel	0.126542
Richardson	0.126274
Ecevit	0.125818
Tung	0.12546
"Javier Solana"	0.125449
Kohl	0.125147
Kuchma	0.124877
Alatas	0.124381
"Lionel Jospin"	0.124126
Abdullah	0.123956
"foreign minister"	0.123423
Mahathir	0.123319
Wahid	0.123115
Fischer	0.121959
Prodi	0.12163
President	0.121465
Assad	0.12142
Estrada	0.120976
minister	0.120781
Hariri	0.120723
Ogata	0.120618
Ahtisaari	0.120455
Clerides	0.120412
Velayati	0.120219
Gaddafi	0.119904
Aznar	0.119508
Lott	0.1194
"Keizo Obuchi"	0.119382
Mordechai	0.119313
Axworthy	0.119195
Chancellor	0.119023
Mugabe	0.118272
"Jean Chretien"	0.117878
Menem	0.117643
"Ryutaro Hashimoto"	0.1173
Mori	0.11711
"Bill Richardson"	0.116182
Moi	0.115159
Daley	0.115038
"Madeleine Albright"	0.114949
Zedillo	0.114716
Abubakar	0.114522
Moratinos	0.114293
"Dennis Ross"	0.114068
Pastrana	0.113961
"Janet Reno"	0.113284
tang	0.113228
Chiluba	0.113215
D'Alema	0.113194
Premier	0.113191
Koo	0.11301
Klima	0.11283
pope	0.112654
Stepashin	0.112286
Wolfensohn	0.112027
Kim	0.111854
Lukashenko	0.11184
"Saeb Erekat"	0.11147
Chuan	0.111447
Ahern	0.111345
"Viktor Chernomyrdin"	0.110995
Brahimi	0.110618
Lahoud	0.110584
Li	0.110551
Stoyanov	0.11025
al-Shara	0.109932
Sharaa	0.109911
Habibie	0.109828
Santer	0.109391
"Lawrence Summers"	0.109351
Luong	0.10917
Simitis	0.109005
Sharon	0.108862
Ben-Ami	0.108674
Rugova	0.108121
Greenspan	0.107943
al-Sahhaf	0.10793
"Jose Maria Aznar"	0.107869
"William Perry"	0.107675
Ambassador	0.107592
"Nawaz Sharif"	0.107555
Mkapa	0.107537
"Goh Chok Tong"	0.107442
Khatami	0.10719
Nujoma	0.106538
delegation	0.106499
Scalfaro	0.106437
"President Kim Dae-jung"	0.106278
gore	0.106179
Erekat	0.106072
secretary	0.105609
Qiao	0.105425
Rifkind	0.105363
Samaranch	0.105242
Khaddam	0.1046
"deputy foreign minister"	0.104552
Hastert	0.104493
leader	0.104391
"Romano Prodi"	0.104261
Camdessus	0.103987
"John Major"	0.103868
Kasoulides	0.103641
"Jordanian King Abdullah Bin Hussein"	0.103633
Kiriyenko	0.102718
Kabariti	0.102355
perry	0.102087
"Li Peng"	0.102072
"Hun Sen"	0.102008
Bush	0.101924
Glickman	0.101802
Brundtland	0.101608
"John Paul"	0.10145
Jayakumar	0.10096
Nazarbayev	0.100759
Reno	0.100482
Saleh	0.100456
Museveni	0.100428
"John Howard"	0.100105
diplomat	0.100081
Hu	0.100068
Meles	0.0998168
"National Security Adviser Sandy Berger"	0.0994473
Phieu	0.0992824
"Shimon Peres"	0.0991379
Papandreou	0.0989804
"Mesut Yilmaz"	0.0989736
Denktash	0.0989203
Indyk	0.0988706
Giuliani	0.0988004
Rafsanjani	0.0985437
Chissano	0.0983681
Gephardt	0.0980181
Wu	0.0980171
"Pope John Paul II"	0.097645
"finance minister"	0.0972608
))
(album (desc 112817) (sims
CD	0.194924
Recording	0.177267
Song	0.170898
disc	0.152862
film	0.133393
book	0.130664
music	0.126516
video	0.12117
movie	0.121124
concert	0.120331
soundtrack	0.119399
show	0.114441
collection	0.110839
novel	0.105288
musical	0.1014
tune	0.0991696
band	0.0971987
artist	0.0969651
performance	0.093743
version	0.0905856
compilation	0.0902541
tape	0.0858903
singer	0.0850713
lyric	0.0850144
opera	0.0847959
record	0.0845335
documentary	0.0838267
catalog	0.0835215
cookbook	0.0820836
label	0.0813394
debut	0.0803358
ballad	0.0797449
story	0.0794145
vocalist	0.0788503
piece	0.078835
series	0.0786922
sound	0.0779354
classic	0.0775611
picture	0.0771191
episode	0.0771049
tour	0.0766368
memoir	0.0765998
Anthology	0.0763791
painting	0.0758546
edition	0.0757051
special	0.0753715
performer	0.0751125
work	0.0751029
comedy	0.074353
"compact disc"	0.0742945
copy	0.0741855
cassette	0.0740151
hit	0.0735112
"television show"	0.0720599
"feature film"	0.0720157
"TV show"	0.0712123
musician	0.0708077
biography	0.070363
duet	0.0703503
script	0.069476
autobiography	0.0693299
magazine	0.0691089
poem	0.0690333
drama	0.068702
Exhibition	0.0677917
style	0.0671432
exhibit	0.0669253
page	0.0667768
sequel	0.066725
art	0.0666708
photograph	0.0665679
disk	0.0663845
dance	0.0662665
essay	0.0661662
AD	0.0658671
poster	0.0658135
guitarist	0.0658015
scrapbook	0.0657664
composer	0.0656759
title	0.065664
pop	0.0647602
masterpiece	0.0646668
score	0.064475
CD-ROM	0.0644416
festival	0.0643273
release	0.0643154
item	0.0634724
guitar	0.0634137
single	0.0633785
cartoon	0.0633271
chart	0.0632735
videotape	0.0631208
publication	0.0631078
card	0.0626243
toy	0.0625878
recital	0.062226
list	0.0615544
tale	0.0615249
quartet	0.0615088
product	0.0614401
award	0.0612504
Grammys	0.0612303
event	0.061077
box	0.0607943
sitcom	0.060644
portrait	0.0605742
speech	0.0605599
Jazz	0.0605152
ballet	0.060272
Screenplay	0.0602223
program	0.0601931
fiction	0.0600857
file	0.059823
it	0.0596819
commercial	0.0596689
document	0.0594469
stuff	0.0594195
voice	0.0593197
genre	0.0591283
ensemble	0.0591195
paper	0.0590327
image	0.0589137
vocals	0.0588941
anthem	0.0588093
selection	0.0585148
Grammy	0.0581992
"best seller"	0.0581833
poetry	0.0581139
stamp	0.0580371
appearance	0.0580238
success	0.05794
Encyclopedia	0.0579273
article	0.0578485
booklet	0.0578095
radio	0.057791
original	0.0577217
life	0.0576781
career	0.0575942
theme	0.0574992
site	0.0574141
writing	0.0573168
rock	0.0573099
scene	0.0572364
songwriter	0.0572061
melody	0.0571511
epic	0.057097
solo	0.0570955
revival	0.0570864
repertoire	0.0569981
material	0.0569048
DVD	0.0567837
singing	0.0561117
machine	0.0558366
design	0.0557882
manuscript	0.0557154
game	0.0556925
thing	0.0556375
track	0.055493
trio	0.0554798
"rock band"	0.0554618
television	0.0554595
photo	0.0552884
repertory	0.0551322
archive	0.0551293
recipe	0.055048
diary	0.0549912
feature	0.0549584
text	0.0549313
drawing	0.0549014
literature	0.0547492
character	0.0546405
clip	0.0545764
gift	0.0545723
fan	0.0545162
interview	0.0543723
Entertainment	0.0542466
miniseries	0.0542415
project	0.0542373
broadcast	0.0541131
Invention	0.0540562
TV	0.0539601
piano	0.053939
artwork	0.0537824
display	0.0536998
wine	0.0536312
brand	0.0536193
stage	0.0535542
trip	0.0534766
format	0.0534169
letter	0.0533947
collaboration	0.0532878
model	0.0532748
theater	0.0531324
brochure	0.053121
composition	0.0530512
rendition	0.0530401
menu	0.0528182
software	0.0527836
calendar	0.052783
reading	0.0526953
))
(Albuquerque (desc 16736.7) (sims
Tucson	0.151911
"Las Vegas"	0.14083
Honolulu	0.139764
"West Palm Beach"	0.138865
"Oklahoma City"	0.13831
Minneapolis	0.137306
Sacramento	0.137199
"Salt Lake City"	0.133813
Tacoma	0.133656
Columbus	0.133553
"Little Rock"	0.132685
"San Antonio"	0.132433
"San Diego"	0.13092
Omaha	0.130896
"El Paso"	0.129404
Tampa	0.128623
Wilmington	0.127448
Denver	0.126714
"Fort Worth"	0.126659
Brownsville	0.125435
Newark	0.125206
Phoenix	0.124177
Houston	0.124151
Richmond	0.123047
Spokane	0.122179
Greenville	0.120923
Norfolk	0.120898
Austin	0.120695
Dallas	0.120214
Harrisburg	0.120059
"Kansas City"	0.119836
Hartford	0.119544
"San Francisco"	0.118098
"Los Angeles"	0.117981
Indianapolis	0.117796
Albany	0.117699
Wichita	0.117508
Orlando	0.116655
Seattle	0.116374
Baltimore	0.11613
Memphis	0.115444
Nashville	0.115235
Portland	0.115116
Rochester	0.114745
"Des Moines"	0.114414
TALLAHASSEE	0.113982
"White Plains"	0.113362
Philadelphia	0.113209
Raleigh	0.112174
"Baton Rouge"	0.112156
"Fort Lauderdale"	0.112112
"San Jose"	0.112019
Cincinnati	0.111473
Fresno	0.111171
Detroit	0.110865
"New Orleans"	0.110352
"New Haven"	0.110266
Milwaukee	0.109429
Lubbock	0.108845
Atlanta	0.108546
Chicago	0.108507
Syracuse	0.107849
TRENTON	0.107576
Charlotte	0.107349
Springfield	0.106228
Beaumont	0.106147
Scottsdale	0.106001
Macon	0.105732
Charleston	0.105031
Cleveland	0.104833
"St. Petersburg"	0.104212
Birmingham	0.103518
Flagstaff	0.102988
Louisville	0.10149
Knoxville	0.101353
Akron	0.101332
"Palo Alto"	0.101321
Pittsburgh	0.100379
Boston	0.100149
ASHEVILLE	0.0998612
"Mexico City"	0.0998475
Miami	0.0997214
"Long Beach"	0.0991972
"San Juan"	0.0988228
"St. Louis"	0.0988228
Laredo	0.0978307
Utica	0.0968445
Montreal	0.0966258
Binghamton	0.0963667
Vancouver	0.0961641
"Guatemala City"	0.0958273
"Overland Park"	0.0957108
Providence	0.0956441
"Cedar Rapids"	0.0953791
"Colorado Springs"	0.0953669
Concord	0.094947
Buffalo	0.0943785
Dayton	0.0941575
Tempe	0.0940584
"New York City"	0.0937307
"St. Paul"	0.0935743
anchorage	0.0934221
Toronto	0.0933006
Pawtucket	0.0929466
Farmington	0.0928014
Missoula	0.0924068
Jacksonville	0.0922519
Manchester	0.0922326
Bangor	0.0920994
Huntsville	0.090473
"Santa Barbara"	0.0900777
BOGOTA	0.0892958
Greensboro	0.0889445
"Grand Rapids"	0.0887484
Juarez	0.0886081
"Corpus Christi"	0.0883638
Alexandria	0.0883599
Lexington	0.0877771
Texarkana	0.0874792
Chappaqua	0.0874613
Boise	0.0862848
Oakland	0.0858887
"Palm Springs"	0.0854861
"Saratoga Springs"	0.0853965
"Santa Fe"	0.0853792
"Boynton Beach"	0.0853736
Arlington	0.0853569
"Atlantic City"	0.085339
Topeka	0.0853037
Bridgeport	0.0848446
Tulsa	0.0847399
Havana	0.0847038
"Buenos Aires"	0.0846059
Gainesville	0.0841497
Burlingame	0.0837908
"Santo Domingo"	0.0833858
Amarillo	0.0831495
Redding	0.0829369
Pasadena	0.082599
"Sao Paulo"	0.0825816
Waco	0.0825652
"Palm Beach"	0.0824656
Eureka	0.0823072
Burbank	0.0821714
LAKEWOOD	0.0821481
Manhattan	0.0820214
"Tel Aviv"	0.0818822
Brooklyn	0.081874
"Santa Monica"	0.0816125
Worcester	0.0814435
Watertown	0.0811558
"Key West"	0.0807861
Santiago	0.0807193
Tokyo	0.0806231
Savannah	0.0805009
Winnipeg	0.0803358
CARACAS	0.0802961
Shreveport	0.0802004
McAllen	0.0801175
"New Mexico"	0.0799461
"San Bernardino"	0.0797972
LONDON	0.079594
Dushanbe	0.0795607
Harlingen	0.0794952
Edmonton	0.07949
Amsterdam	0.0793812
"Santa Rosa"	0.0792908
Tijuana	0.0790642
Schenectady	0.078855
"Boca Raton"	0.0787435
Chattanooga	0.0786799
KIEV	0.0786579
Carthage	0.0786387
Yonkers	0.0785313
JOHANNESBURG	0.0783142
Bellevue	0.0782892
Paris	0.0782596
"Washington D.C."	0.0782285
Glendale	0.0781876
Madison	0.0781467
Augusta	0.0779742
Peoria	0.0779488
Hawaii	0.0777133
Galveston	0.0776491
Durham	0.077613
Dublin	0.0774548
BUCHAREST	0.0771886
Morristown	0.0767453
Pensacola	0.0767293
Montgomery	0.0764278
Nashua	0.0762273
Stamford	0.0760217
Charlottesville	0.0759411
Jasper	0.0758953
Montclair	0.0758721
"Cape Town"	0.0757588
Sausalito	0.0757416
Munich	0.0755541
"The Bronx"	0.0754723
Laramie	0.0754203
))
(Alcan (desc 1279.27) (sims
Viag	0.19846
Litton	0.178331
SmithKline	0.177702
"Thermo Electron"	0.172746
NiSource	0.167106
COLTEC	0.162378
WPP	0.160998
"Niagara Mohawk"	0.160628
Emulex	0.146969
"National Grid"	0.141634
UAL	0.140358
Starwood	0.137568
Warnaco	0.136891
"Phelps Dodge"	0.136475
Avondale	0.136385
Genzyme	0.134673
"Royal Bank"	0.134424
Schlumberger	0.129689
SkyTel	0.129072
NatWest	0.127414
Norwest	0.124857
"BP Amoco"	0.124668
"Bausch &AMP; Lomb"	0.124366
Asarco	0.124133
"Bank of Scotland"	0.12302
AMR	0.121738
"Global Crossing"	0.121427
Citicorp	0.121332
ALZA	0.119971
IDT	0.119924
ARCO	0.119632
McKesson	0.119474
"Burlington Northern"	0.118861
"KCP&AMP;L"	0.118784
"American Home"	0.118436
TELLABS	0.117675
ENTERGY	0.117656
TYCO	0.117
"U S West"	0.116815
Publicis	0.116339
"U.S. Trust"	0.116106
Glaxo	0.115624
RJR	0.114566
WorldCom	0.114004
FPL	0.113954
Tenneco	0.113666
Ciena	0.113489
BCE	0.112865
BankAmerica	0.112475
Qwest	0.112148
Totalfina	0.11193
Humana	0.11165
YankeeNets	0.111426
"Air Canada"	0.110911
AstraZeneca	0.110672
Daimler	0.110214
"Computer Associates"	0.109901
Daimler-Benz	0.109733
EarthLink	0.109357
Cendant	0.109226
Warner-Lambert	0.108975
AlliedSignal	0.108683
"Northern Telecom"	0.108531
Federated	0.108479
Honeywell	0.108083
"Times Mirror"	0.107666
Hoechst	0.106996
Corel	0.106574
"British Petroleum"	0.105386
"International Paper"	0.105228
Seagram	0.104289
Exxon	0.104167
"J&AMP;J"	0.103948
"Berkshire Hathaway"	0.103764
AHP	0.103719
Mannesmann	0.103412
"Y&AMP;R"	0.102928
"Union Pacific"	0.102708
Nabisco	0.102286
VENATOR	0.101343
UTC	0.100992
Heinz	0.100806
Elf-Aquitaine	0.100101
Viacom	0.100014
GEC	0.0998225
REVLON	0.0996532
MindSpring	0.0991512
"Times Co."	0.0983324
"Newport News"	0.0980822
Comsat	0.0976833
Vodafone	0.0971566
Aetna	0.097105
Infoseek	0.0970688
WELLPOINT	0.0965725
VICKERS	0.0952604
"Northeast Utilities"	0.0951781
MiniMed	0.0947008
"JDS Uniphase"	0.0944391
Conseco	0.0937824
HKMA	0.0937667
"Bankers Trust Corp."	0.0934746
Healtheon	0.093429
Sunbeam	0.0933847
Zeneca	0.0930467
Paribas	0.0930429
"United Technologies"	0.0930103
"Ford Motor"	0.0926473
Medtronic	0.0920312
Chiron	0.0920094
Mobil	0.0919566
ENTREMED	0.0916801
BankBoston	0.0916149
Vivendi	0.0914429
Lockheed	0.091437
"Stride Rite"	0.091417
"Sara Lee"	0.0911301
Biogen	0.0910174
Fingerhut	0.090985
"American Home Products"	0.0907532
"True North"	0.0906168
Ameritech	0.0905607
CCE	0.0902408
"Bell Atlantic"	0.0900257
Asda	0.0899915
"RJR Nabisco"	0.0898807
GANNETT	0.0896926
NationsBank	0.0896065
"Boston Scientific"	0.0895782
"P&AMP;G"	0.0890884
Eurotunnel	0.0888837
UBS	0.0888819
Clorox	0.0886105
"British Aerospace"	0.0882045
"Time Warner"	0.0882029
Pinkerton	0.0881512
"First Union"	0.0878885
BofA	0.0876778
Sibneft	0.0876357
"Ford Motor Company"	0.0869651
Bestfoods	0.0868725
"Hongkong Telecom"	0.0868193
Weyerhaeuser	0.0868143
IMS	0.0864066
Broadcom	0.0863705
GTE	0.0862112
Pepsico	0.0854469
AutoNation	0.0851111
"Advanced Micro"	0.0849723
E-LOAN	0.0848353
"UAL Corp."	0.0847665
Bertelsmann	0.08456
Georgia-Pacific	0.0843932
"Sprint PCS"	0.0841718
"BankBoston Corp."	0.0840167
Mattel	0.0836873
"Rite Aid"	0.083601
"Pacific Century"	0.0834223
"Chronicle Publishing"	0.0833952
DrKoop.com	0.0833853
"Tribune Co."	0.0832019
Zapata	0.0830904
Corning	0.0830466
Pharmacia	0.0830274
"HBO &AMP; Co."	0.0829441
Healtheon/WebMD	0.0828453
"Fred Meyer"	0.0828228
"Silicon Graphics"	0.0825671
CMGI	0.082531
Renault	0.0825002
Telefonica	0.0820282
CSX	0.0819642
"Glaxo Wellcome"	0.0819455
NASD	0.0816382
SBC	0.0815876
"Deutsche Bank AG"	0.0813508
"Wells Fargo"	0.0813097
Lycos	0.0811927
Priceline	0.0810165
"USA Networks"	0.0809742
"US Airways"	0.0809438
Volvo	0.0805997
"MCI WorldCom"	0.0804118
Stratus	0.0801354
"Dresdner Bank"	0.0801152
ITT	0.0798853
Checkfree	0.0798432
Omnicom	0.0798421
"Union Carbide"	0.079763
Monsanto	0.0797311
Alltel	0.0795857
Halliburton	0.0795792
Webvan	0.0793879
AMP	0.0793713
"Chase Manhattan"	0.0793334
Alcoa	0.0789935
Primedia	0.078828
EMC	0.0787047
Enron	0.0784776
Pairgain	0.0784615
"Bankers Trust"	0.0780797
))
(Alcantara (desc 820.715) (sims
Rolen	0.100918
Mabry	0.0877985
Gorter	0.084578
Smirnov	0.0831822
MKO	0.0816449
Lieberthal	0.0790956
Brogna	0.0776921
Bullard	0.0742204
"Di Canio"	0.0739809
Geiger	0.0738994
Dele	0.0736274
Briere	0.0733505
Tatis	0.0730337
Mullins	0.0726021
Sexson	0.0721255
Durwood	0.0720391
Ripken	0.0708441
U.S.-led	0.0704561
Gillom	0.0691039
BSF	0.0685028
Sojo	0.0683094
Burnitz	0.0676517
Marinovich	0.067034
Bolger	0.0670324
Westbrook	0.0669106
"Kirk Gibson"	0.0667228
Batouty	0.0665453
Renteria	0.0662289
Marichal	0.0660867
"Big Blue"	0.0648902
Mullaitivu	0.064177
Deane	0.0640837
Nevin	0.0637576
Beltre	0.0635422
Radojevic	0.0634704
Flaherty	0.0629233
McManus	0.0624117
Hollandsworth	0.0623299
Nesby	0.0621162
Lett	0.0620716
hodgson	0.0620646
"Cecil Fielder"	0.0619634
airforce	0.0616205
Vidro	0.0612945
Artest	0.0610899
Foxx	0.0606917
Charest	0.0606408
"Bafana Bafana"	0.0602944
Abreu	0.0602102
"Marvin Benard"	0.0601116
Barad	0.0600495
Laudrup	0.0598404
Surhoff	0.0597835
Hatteberg	0.0594908
Alfonzo	0.0593387
PAOK	0.0590797
Cronje	0.0590135
Petit	0.0587378
Briscoe	0.0584658
Bragg	0.0580604
Portnoy	0.0579053
Pratt	0.0574794
Frye	0.0574446
Soriano	0.0572591
Lankford	0.0570268
Fullmer	0.05684
Dandridge	0.0568185
J.R	0.056815
"Pat Meares"	0.0567827
Spellman	0.0564776
Gilmour	0.0564359
Caminiti	0.0563639
Westin	0.0562627
Verbeek	0.0562509
Nailon	0.0562122
Klesko	0.0561549
Paphos	0.0560935
Setzer	0.0560292
Bergeron	0.0558723
McMullen	0.055672
Janikowski	0.0555775
Lawler	0.0555768
Nkomo	0.0553495
"Lusaka Peace Accord"	0.0553015
"Olden Polynice"	0.0551867
Bam	0.0551433
Turgeon	0.0551015
Dunston	0.0549765
Gant	0.0549579
"Corey Koskie"	0.0547748
Veras	0.0546911
Soares	0.054657
Meggett	0.054557
McGriff	0.0544371
Rankin	0.0543931
Conley	0.0542493
"Matt Bullard"	0.0542266
Arroyo	0.054056
Muoneke	0.0539844
"morse code"	0.0537916
Kreuter	0.0537509
Nepa	0.0535858
Brewster	0.0534916
Deion	0.053286
"Geoff Jenkins"	0.053251
Garvey	0.0531662
UFW	0.0530278
"Kevin Young"	0.0529919
Boller	0.0526535
Baerga	0.0525485
Curley	0.052493
pressman	0.0523302
Hirohito	0.0522825
Vina	0.0521367
"Dean Palmer"	0.0520591
Worrell	0.0520365
Perrot	0.0519623
"Tyler Houston"	0.0519164
"Malaysia Airlines"	0.0518797
"Rob Ducey"	0.051849
"Fernando Vina"	0.0518019
"cold spell"	0.0517254
"Craig Paquette"	0.0516527
Tuinei	0.051595
Dellucci	0.0514545
"Jason Kendall"	0.0513855
"Tom Lampkin"	0.0513244
Khalid	0.0513232
Hundley	0.0512026
Koskinen	0.0511714
Baugh	0.0511317
Neilson	0.0511097
Pu	0.0510691
"Eric Davis"	0.0509001
Arianespace	0.0507755
McSorley	0.0506634
Lockyer	0.0506387
Metcalf	0.0505986
Baikonur	0.050467
Alcorn	0.0504347
Packard	0.0503017
"Dmitri Young"	0.0502818
"Royal Air Force"	0.0502697
"Indonesian Armed Forces"	0.0502205
IPC	0.0502103
Atwater	0.050143
Trantino	0.0501129
"Matt Luke"	0.0500176
"Beth Israel"	0.0500151
Landry	0.0500077
Chappell	0.0499916
Olerud	0.0499004
Manta	0.0498675
Zuma	0.049844
Wilkins	0.0497446
CCF	0.0496974
Neel	0.0496208
intranets	0.0495556
Pederson	0.0494829
Belcher	0.0494349
Grammer	0.0494132
Nowitzki	0.049342
Ong	0.0493291
"Dale Hunter"	0.0491101
sherpas	0.0491052
Cora	0.0491037
"Honda Motor Co."	0.0490784
Bordick	0.0490458
Cordero	0.0490313
"first and third"	0.0490215
"TOMS RIVER"	0.0489665
Hao	0.0489613
Anelka	0.0489549
Yoakam	0.0488924
"Kurt Abbott"	0.0488114
"Rotary International"	0.0488017
"Greg Colbrunn"	0.0487611
Meares	0.0487354
Hardeman	0.0487298
"Helen Clark"	0.0486613
Rylander	0.0486569
Musa	0.0486179
Kasoulides	0.0485513
Shatner	0.0484938
Sampaio	0.048493
Detmer	0.0484694
Matthaeus	0.04845
Limon	0.0483193
Kagalovsky	0.0483013
Crockett	0.048277
"Lenny Harris"	0.0482629
Burks	0.0482491
McInnis	0.048239
Langley	0.0481999
Carollo	0.0481222
Biko	0.0481202
Coia	0.0480337
Eappens	0.048002
"Jose Vidro"	0.0479467
Pacino	0.0478853
))
(Alcatel (desc 5583.26) (sims
Ericsson	0.291787
Nokia	0.245128
"Lucent Technologies"	0.214906
Nortel	0.213469
Siemens	0.210764
Motorola	0.199209
NTT	0.189814
Qualcomm	0.189069
Lucent	0.184877
Philips	0.184346
Vivendi	0.183025
Toshiba	0.181664
Fujitsu	0.178384
NEC	0.169319
"Nortel Networks"	0.167838
Samsung	0.16271
ABB	0.160598
"Cisco Systems Inc."	0.160417
"Lucent Technologies Inc."	0.155335
Matsushita	0.148156
"Applied Materials"	0.147069
Unilever	0.147045
Novell	0.145371
Bayer	0.143199
Cisco	0.141063
"EMC Corp."	0.140977
Marconi	0.140175
"Cisco Systems"	0.138097
Novartis	0.136553
Lagardere	0.136551
Rhone-Poulenc	0.135062
"Thomson CSF"	0.133965
EMC	0.13384
"Abbott Laboratories"	0.133648
BASF	0.1328
Telefonica	0.131355
"Motorola Inc."	0.129051
"Qualcomm Inc."	0.128479
Alcoa	0.128074
Aerospatiale	0.128038
Hitachi	0.127852
"ELF AQUITAINE"	0.127812
Checkfree	0.126772
"Sun Microsystems"	0.125152
"SBC Communications Inc."	0.125008
WorldCom	0.124814
Hoechst	0.124214
TELLABS	0.123878
CMGI	0.123632
AXA	0.122328
"Northern Telecom"	0.122271
"Deutsche Telekom"	0.122064
"France Telecom"	0.120654
Unisys	0.119798
"Texas Instruments"	0.119731
Corning	0.119652
"JDS Uniphase"	0.119611
Psion	0.119352
Schlumberger	0.119146
Daimler-Benz	0.11912
Kodak	0.11898
IBM	0.118937
IDT	0.118557
Starwood	0.118514
GTE	0.118341
Intel	0.117535
"De Beers"	0.117532
"Oracle Corp."	0.117267
"Renault SA"	0.117168
Pfizer	0.116534
Hewlett-Packard	0.11648
Monsanto	0.116419
Mannesmann	0.116065
Eni	0.115489
"Nippon Telegraph"	0.115452
Carrefour	0.115452
oracle	0.114986
"Lockheed Martin Corp."	0.114901
Enron	0.114611
Ge	0.114359
Volkswagen	0.114113
"Enron Corp."	0.114083
"MCI WorldCom"	0.114009
Denel	0.113005
"Adobe Systems"	0.112702
"Cable &AMP; Wireless"	0.111473
transnationals	0.111358
Bestfoods	0.111045
"Lockheed Martin"	0.110971
Honeywell	0.10994
RJR	0.10971
"Glaxo Wellcome"	0.109324
Renault	0.109197
TYCO	0.109042
"General Electric"	0.108996
"Computer Associates"	0.108876
Nestle	0.108809
Merck	0.10853
"Softbank Corp."	0.10853
ING	0.108251
NTL	0.108
"Monsanto Co."	0.107554
"Micron Technology"	0.10735
Compaq	0.107027
TRW	0.106414
ascend	0.106407
MCI	0.105961
"Johnson &AMP; Johnson"	0.105753
Ameritech	0.105412
"Mannesmann AG"	0.105319
"British Aerospace"	0.105301
Mitsubishi	0.104923
"Bay Networks"	0.104484
"P&AMP;G"	0.104314
Seagate	0.104272
"Tele-Communications Inc."	0.104181
Mattel	0.104064
"News Corp."	0.104041
"NEC Corp."	0.104
"SmithKline Beecham"	0.103906
Railtrack	0.10379
KPN	0.102987
Telstra	0.102715
"Advanced Micro Devices"	0.102703
Hasbro	0.102584
Genentech	0.10242
Sumitomo	0.102121
"Siemens AG"	0.102043
"Hewlett Packard"	0.101989
Autodesk	0.101754
"National Grid"	0.101563
Dasa	0.101499
Healtheon	0.101481
BOC	0.101121
VEBA	0.100837
"Hongkong Telecom"	0.100704
DaimlerChrysler	0.100676
SBC	0.100651
E-LOAN	0.100529
Sunbeam	0.100408
"Compaq Computer Corp."	0.100063
"Deutsche Bank"	0.100059
Corel	0.0997774
"Intel Corp."	0.0995595
"Ford Motor"	0.0994789
Unicom	0.0993972
Federated	0.0993149
"Nortel Networks Corp."	0.0992417
Astra	0.0990126
Cargill	0.0988636
SmithKline	0.09878
"Hewlett-Packard Co."	0.0987382
Aegon	0.0982225
"Allied Signal"	0.0981809
Softbank	0.0981239
Intuit	0.0978362
Litton	0.0977514
Telebras	0.0975316
"Vodafone AirTouch"	0.0974748
SGI	0.0973109
"Global Crossing"	0.0972796
Viag	0.0972394
Aventis	0.0971942
"WorldCom Inc."	0.0970985
Bertelsmann	0.0970454
Xerox	0.0969843
"BP Amoco"	0.0969699
HP	0.0968155
Gazprom	0.096767
"Vivendi SA"	0.0964374
"GE Capital"	0.096217
Vodafone	0.0957696
McKesson	0.0955627
"Philip Morris"	0.0954631
Comcast	0.0952164
Alltel	0.0949143
Aetna	0.0947022
Echostar	0.0945628
Emulex	0.094205
Totalfina	0.0941525
"General Electric Co."	0.0940456
Equifax	0.0939937
"Real Networks"	0.0939895
Akamai	0.0938773
Roche	0.0934471
"International Business Machines Corp."	0.093402
Asda	0.0933386
"Network Associates"	0.0932388
Olivetti	0.0931478
"Sun Microsystems Inc."	0.0931074
Broadcom	0.0930588
Symantec	0.0929631
REPSOL	0.0929583
Daimler-Chrysler	0.0929238
Gilead	0.0929044
"Sony Corp."	0.0927982
Electrolux	0.0926692
"Pfizer Inc."	0.0926083
Raytheon	0.0925877
Elf-Aquitaine	0.0923515
))
(Alcatraz (desc 1547.95) (sims
"San Quentin"	0.0571101
"Disney World"	0.0566395
Disneyland	0.0566005
"Yosemite National Park"	0.0543402
Yosemite	0.0542059
Graceland	0.0512543
"Big Apple"	0.0482497
Aruba	0.0473864
"standing room"	0.047327
"San Salvador"	0.045415
Galapagos	0.0429359
Attica	0.0427956
Scandinavia	0.0427042
Amelia	0.0426695
"Robben Island"	0.0426445
roundtrip	0.0426204
"Lincoln Center Theater"	0.0425726
"Big Oil"	0.0423243
"Super Bowl XXXIV"	0.042299
"Colonial Williamsburg"	0.0421242
"Universal Studios"	0.04148
Miyake	0.0412326
zeppelin	0.0401972
"Ben-Gurion Airport"	0.0401174
))
(alchemy (desc 4321.52) (sims
swordplay	0.069487
"sleight of hand"	0.0623311
Wicca	0.0594952
"guardian angel"	0.0583307
wizardry	0.0558265
synthesis	0.0557342
improvisation	0.0542507
cataclysm	0.0519598
"chemical reaction"	0.0516541
powerlessness	0.0509687
exorcism	0.0505259
dexterity	0.0502681
idolatry	0.0495298
stagecraft	0.0495159
calculus	0.0493641
deconstruction	0.0489496
"inferiority complex"	0.0488709
adage	0.0488465
superstition	0.0486512
Opel	0.048567
anticlimax	0.0485297
Pearson	0.0482388
bedfellow	0.0481381
oversimplification	0.0480954
Convergence	0.0480608
enigma	0.0477734
synergy	0.047717
oil-for-food	0.0475987
"detective work"	0.0469365
divestment	0.0467475
symmetry	0.0464998
spontaneity	0.0463194
one-upmanship	0.0463185
witchcraft	0.0460875
"National Convention Executive Council"	0.0456735
hybrid	0.0453993
GPU	0.0450758
metamorphosis	0.0444475
KPN	0.0443086
Venables	0.0442363
travelogue	0.0440389
Truism	0.0440363
radiance	0.0438777
Vivendi	0.0437847
AstraZeneca	0.0437466
Venting	0.0437023
lunacy	0.0435824
contortion	0.043369
juggling	0.0433118
cockiness	0.0430511
inflection	0.0430303
Fingerhut	0.0428695
unreality	0.0427864
heresy	0.0427556
confluence	0.0427123
homecoming	0.0426131
continuum	0.0423783
triage	0.0421747
chameleon	0.0421741
shenanigan	0.0419784
realignment	0.0418574
theatricality	0.0417165
"communications network"	0.0415218
self-censorship	0.041485
trance	0.0414241
Marconi	0.0414211
Litton	0.041277
exhilaration	0.0412664
Allianz	0.0412272
"CMGI Inc."	0.0411808
coincidence	0.0411755
foolishness	0.041155
quandary	0.0410604
oscillation	0.0410346
undercurrent	0.0410152
karma	0.0409759
fragmentation	0.0409707
brinksmanship	0.0409081
barter	0.0407986
trickery	0.0406945
"electric current"	0.0405974
ethos	0.0405696
"gold standard"	0.0405486
"parlor game"	0.0405064
"sound effect"	0.0404159
"hunting ground"	0.0403977
epiphany	0.0403824
"Cable &AMP; Wireless"	0.0403786
"social contract"	0.0403543
"soul mate"	0.040348
"hanky panky"	0.0403319
overstatement	0.0401341
interplay	0.040087
readout	0.0400467
swagger	0.0400393
ruthlessness	0.0400274
))
(Alcoa (desc 8046.43) (sims
"International Paper"	0.225544
"General Electric"	0.193582
Dupont	0.193539
"Johnson &AMP; Johnson"	0.175791
Unilever	0.174419
Hewlett-Packard	0.174073
Chevron	0.172754
Litton	0.171798
UAL	0.171505
"Allied Signal"	0.171481
"Union Carbide"	0.169522
Merck	0.168015
NiSource	0.166902
Pfizer	0.16556
Exxon	0.164663
Caterpillar	0.163511
"American Express"	0.163249
Honeywell	0.162245
"Phelps Dodge"	0.161027
"Procter &AMP; Gamble"	0.160739
Weyerhaeuser	0.153807
"Philip Morris"	0.153498
Kodak	0.152625
Georgia-Pacific	0.148887
Corning	0.148643
AlliedSignal	0.148379
TELLABS	0.146735
Citigroup	0.146372
"Eastman Kodak"	0.146294
McKesson	0.144657
"Cisco Systems"	0.144641
Intel	0.143806
Totalfina	0.143715
Olivetti	0.143635
"J.P. Morgan"	0.143551
Cisco	0.143085
RJR	0.143006
Unisys	0.142616
Bestfoods	0.141722
Qualcomm	0.140578
"Dell Computer"	0.140397
IBM	0.140263
Viacom	0.140088
Vodafone	0.139847
TYCO	0.13781
"MCI WorldCom"	0.137358
Sunbeam	0.136825
ENTREMED	0.136509
"Sara Lee"	0.136489
"Thermo Electron"	0.135809
"Lucent Technologies"	0.134935
Emulex	0.133836
"Texas Instruments"	0.133542
Goodyear	0.131912
Gillette	0.131596
Comcast	0.131577
"Bausch &AMP; Lomb"	0.131205
"Royal Bank"	0.130861
Qwest	0.130753
"General Motors"	0.129631
"Exxon Mobil"	0.129557
WorldCom	0.129178
"Bank of Scotland"	0.129118
Healtheon/WebMD	0.128085
Alcatel	0.128074
Biogen	0.127816
Medtronic	0.127174
Compaq	0.126852
"Deutsche Telekom"	0.126735
Heinz	0.126693
Monsanto	0.126566
Coca-Cola	0.126491
EMC	0.126405
Warner-Lambert	0.125865
BellSouth	0.125675
"Adobe Systems"	0.125645
"Global Crossing"	0.125342
"Computer Associates"	0.12506
"Pacific Century"	0.124916
Nortel	0.124723
"P&AMP;G"	0.124695
Enron	0.124605
WPP	0.124196
Boeing	0.123873
Maytag	0.123687
Aetna	0.123539
Healtheon	0.123414
"Micron Technology"	0.123277
Norwest	0.123044
PLDT	0.1228
Autodesk	0.122542
ARCO	0.122486
NatWest	0.122406
Cendant	0.121978
Amgen	0.121897
"Ford Motor"	0.121692
Ericsson	0.121315
Raytheon	0.120802
NORTHROP	0.120573
Ciena	0.120283
LVMH	0.120218
Motorola	0.12003
"JDS Uniphase"	0.119897
ALZA	0.119704
Lockheed	0.118526
"BP Amoco"	0.118386
GANNETT	0.118134
oracle	0.117908
Genentech	0.117901
Starwood	0.117503
Seagate	0.117041
"American Home Products"	0.115589
"Eli Lilly"	0.115477
ExciteAtHome	0.115197
Mobil	0.114949
Mattel	0.114822
ENTERGY	0.114667
Kellogg	0.114514
Cargill	0.114007
Clorox	0.11391
Nabisco	0.113902
GTE	0.113717
Lucent	0.11327
DaimlerChrysler	0.112482
AMP	0.112431
Wal-Mart	0.1121
XYLAN	0.112017
Novell	0.111881
Delphi	0.111509
Seagram	0.110919
Corel	0.110851
"Berkshire Hathaway"	0.110473
"Chase Manhattan"	0.110269
"Dow Chemical"	0.110051
Colgate-Palmolive	0.11004
"Bell Atlantic"	0.109997
"Air Canada"	0.109992
VENATOR	0.109859
BankAmerica	0.109136
Halliburton	0.108659
"HBO &AMP; Co."	0.107982
CCE	0.107814
"Nortel Networks"	0.107809
"Time Warner"	0.106898
Terra	0.106532
Broadcom	0.106518
"Cisco Systems Inc."	0.106414
TRW	0.106278
Livent	0.106238
Nokia	0.106237
"EMC Corp."	0.106168
om	0.106011
"Learning Co."	0.105816
Pepsico	0.105568
SmithKline	0.105396
"Gap Inc."	0.104699
"Boeing Co."	0.10458
Bristol-Myers	0.104566
"Rite Aid"	0.104515
Texaco	0.10415
Dell	0.104063
Federated	0.104034
AutoNation	0.103694
"Lockheed Martin"	0.103219
Amoco	0.10304
AMR	0.102857
Warnaco	0.102743
Telefonica	0.102209
COLTEC	0.101963
Mannesmann	0.101895
SBC	0.101854
Ge	0.101767
"Tribune Co."	0.101475
Checkfree	0.101473
"Deutsche Bank"	0.101172
Tenneco	0.101031
REPSOL	0.100884
"UAL Corp."	0.100784
"News Corp."	0.100592
"First Union"	0.1005
"U.S. Trust"	0.100448
"American Home"	0.100195
Glaxo	0.100148
Lycos	0.100111
"Dell Computer Corp."	0.10011
SkyTel	0.100073
Hasbro	0.100023
bombardier	0.0998295
"Bankers Trust"	0.0997835
"GTE Corp."	0.0994841
"Times Mirror"	0.0993182
Hoechst	0.0988941
"Banque Nationale"	0.0985707
"Ask Jeeves"	0.0985521
Genzyme	0.0977524
"America Online"	0.0976874
Goodrich	0.0973373
Vivendi	0.0973042
BankBoston	0.0970473
"RJR Nabisco"	0.0967072
))
(alcohol (desc 56782.1) (sims
liquor	0.194057
cocaine	0.177629
drug	0.174353
caffeine	0.169223
tobacco	0.159321
marijuana	0.151297
"alcoholic beverage"	0.148641
cigarette	0.14758
booze	0.143997
heroin	0.14165
Beer	0.140325
nicotine	0.134905
smoking	0.132142
drinking	0.128552
drink	0.124423
chemical	0.123789
amphetamine	0.123683
substance	0.121629
food	0.120605
narcotic	0.117583
pesticide	0.115168
wine	0.112768
firearm	0.112526
gambling	0.11235
gasoline	0.110796
sugar	0.110195
fuel	0.108951
"alcohol abuse"	0.107532
whiskey	0.106564
steroid	0.106064
medication	0.105116
"prescription drug"	0.10317
"substance abuse"	0.102678
vodka	0.102135
ecstasy	0.10177
coffee	0.100798
"soft drink"	0.100341
asbestos	0.0992457
milk	0.0987738
GHB	0.0982332
soda	0.0982007
Alcoholism	0.097992
gas	0.0973707
pill	0.0968424
methamphetamine	0.0962266
oil	0.0955896
beverage	0.0954721
viagra	0.0954188
sex	0.094603
Calcium	0.094585
pornography	0.0944511
testosterone	0.0924776
morphine	0.0921477
oxygen	0.0919534
water	0.0919207
cholesterol	0.0916828
vitamin	0.091488
juice	0.0909815
creatine	0.0908296
gun	0.0905707
antibiotic	0.0899843
EPO	0.0895967
"drug abuse"	0.0891918
MTBE	0.0885009
medicine	0.0883608
LSD	0.0879887
"carbon monoxide"	0.0878663
estrogen	0.0875857
protein	0.0872424
product	0.085738
hormone	0.0855868
goods	0.0854818
fertilizer	0.0852106
tea	0.0850605
fat	0.0849252
meat	0.0841709
aspirin	0.0840158
chlorine	0.0838556
prostitution	0.0836009
painkiller	0.0833259
toxin	0.0832097
handgun	0.0829712
supplement	0.0826326
andro	0.0824389
"drug use"	0.0823434
uranium	0.0820407
carbohydrate	0.0819693
"mineral water"	0.0817084
plutonium	0.0814019
Liquid	0.0812812
stress	0.0809926
chocolate	0.0809813
weapon	0.0808792
acid	0.0807924
violence	0.0802616
champagne	0.0801147
explosive	0.0799853
cannabis	0.0797755
Valium	0.0793343
"orange juice"	0.0791418
fluid	0.078791
arsenic	0.0786054
fiber	0.0783206
material	0.0779196
stimulant	0.0775643
methadone	0.0775545
rum	0.0773913
salt	0.0773364
cyanide	0.0772497
insulin	0.0772059
hashish	0.0770263
moisture	0.0764999
opiate	0.0760505
methanol	0.0758219
grain	0.0758004
contraceptive	0.0753221
blood	0.0753193
Prozac	0.075277
herb	0.0752069
calory	0.0750652
smoke	0.0750577
fruit	0.074572
waste	0.0745443
pollution	0.0744419
ethanol	0.0741094
Cigar	0.0740624
AZT	0.0739275
nitrogen	0.0737354
cancer	0.0734013
condom	0.0733958
poison	0.0732638
"mental illness"	0.0731582
"consumer goods"	0.0731554
commodity	0.0730076
"vitamin C"	0.0728195
abortion	0.0727923
"air pollution"	0.0727669
"dairy product"	0.0723486
vinegar	0.0722854
"diesel oil"	0.0720492
androstenedione	0.0720043
radiation	0.07191
consumption	0.0717287
contraband	0.0716011
electricity	0.0714052
aid	0.0712889
additive	0.0708941
dioxin	0.0706038
detergent	0.0705379
"natural gas"	0.0703388
foodstuff	0.0702341
HIV	0.0699675
petrol	0.0697255
Addiction	0.06955
bacteria	0.0692478
ephedrine	0.0691302
starch	0.0690502
vegetable	0.0689929
beef	0.0688695
"heart disease"	0.0687817
"red wine"	0.0685795
petroleum	0.0684827
"crude oil"	0.0682609
Coal	0.068057
sodium	0.0680018
equipment	0.0679674
virus	0.0677172
therapy	0.0676396
powder	0.0675214
nutrient	0.0674179
merchandise	0.0673766
automobile	0.0673461
Clothing	0.0673052
disease	0.0672173
tequila	0.0671966
energy	0.0671001
driving	0.0669226
tranquilizer	0.0668385
"fruit juice"	0.066817
sedative	0.0666658
"raw material"	0.0666328
"carbon dioxide"	0.0665349
Advertising	0.0665046
antibody	0.0664475
bleach	0.0663571
crime	0.0661697
abuse	0.0661278
money	0.0660649
"motor vehicle"	0.0659251
crack	0.0658411
coke	0.0657616
glucose	0.0657459
behavior	0.0657337
item	0.0655312
Vaccine	0.0653538
"fuel oil"	0.0651646
pollutant	0.0648784
immigration	0.064835
cheese	0.06466
nandrolone	0.0646551
))
("alcohol abuse" (desc 5010.84) (sims
"substance abuse"	0.246126
Alcoholism	0.209431
"drug abuse"	0.18934
"drug addiction"	0.167793
"drug use"	0.164469
Truancy	0.163651
Obesity	0.148736
Addiction	0.142023
"mental illness"	0.138988
drinking	0.137395
hypertension	0.13734
homelessness	0.133659
smoking	0.129006
infertility	0.127098
"cardiovascular disease"	0.117744
prostitution	0.117223
schizophrenia	0.113203
"juvenile delinquency"	0.111295
"sexually transmitted disease"	0.10943
"high blood pressure"	0.109257
diabetes	0.109073
nudity	0.10884
asthma	0.107646
alcohol	0.107532
"heart disease"	0.106849
"child abuse"	0.106319
epilepsy	0.105036
bulimia	0.104713
malnutrition	0.104512
anemia	0.0994116
Depression	0.0989435
"manic depression"	0.0981586
delinquency	0.0977876
illiteracy	0.0975191
ulcer	0.0973077
IDD	0.0970918
criminality	0.097055
"heroin addiction"	0.0964351
promiscuity	0.0947658
disorder	0.0946459
dementia	0.0943602
syphilis	0.0936943
Osteoporosis	0.0917935
"sexual activity"	0.0915975
pregnancy	0.0910921
autism	0.0907919
"drug problem"	0.0901849
lawlessness	0.0891246
"mental disorder"	0.0889566
impotence	0.088649
drunkenness	0.0883151
gambling	0.0871558
dysfunction	0.0869151
hooliganism	0.086401
"lung cancer"	0.0855954
incontinence	0.0854596
"air pollution"	0.0854505
overpopulation	0.084554
"skin cancer"	0.0823446
deforestation	0.0823336
"mental health"	0.082145
"anxiety disorder"	0.0820148
sexuality	0.0817633
HIV/AIDS	0.0812979
trafficking	0.0811197
gunplay	0.080602
insomnia	0.0805856
deficiency	0.080257
migraine	0.0801287
overconfidence	0.0801257
trauma	0.0795929
malaria	0.0792912
"lead poisoning"	0.0792451
"water pollution"	0.0787975
leukemia	0.078765
profanity	0.0787593
cataract	0.0785917
dependency	0.0784376
Indiscipline	0.0783492
leprosy	0.0782672
sectarianism	0.0779594
glaucoma	0.0778758
hepatitis	0.07751
recidivism	0.077308
deprivation	0.0768417
"acid rain"	0.0758563
"eye disease"	0.0755078
rollovers	0.0754305
"soil erosion"	0.0753381
joblessness	0.0751293
illness	0.075047
"bipolar disorder"	0.0749331
fatigue	0.0748654
vandalism	0.0746207
"hard drug"	0.0742242
desertification	0.0739534
hyperactivity	0.0738418
"drug trafficking"	0.0735477
immorality	0.0730991
blindness	0.0730864
suicide	0.0727604
degradation	0.0725554
lupus	0.0725469
rowdiness	0.0724041
malpractice	0.07192
"sexual harassment"	0.0719127
dehydration	0.0717705
"infectious disease"	0.0715524
banditry	0.0708997
"health problem"	0.0706994
"Lyme disease"	0.0706403
arthritis	0.0703033
"cerebral palsy"	0.0702144
"heart failure"	0.0701695
"tooth decay"	0.0700193
self-esteem	0.0696436
"common cold"	0.0693709
impairment	0.0692897
"back pain"	0.0692416
acne	0.0691367
Burnout	0.0689038
"rheumatoid arthritis"	0.0687712
syndrome	0.0685682
booze	0.0684447
infection	0.0681643
allergy	0.0681635
relapse	0.0677033
dyslexia	0.0676159
emphysema	0.0675113
pandemic	0.067063
nutrition	0.0669748
homophobia	0.0669272
unemployment	0.066717
"tax evasion"	0.0666456
"blood pressure"	0.0662388
piracy	0.0660574
abstinence	0.0659441
tuberculosis	0.0658147
smuggling	0.0651635
"HIV/ AIDS"	0.0651305
"memory loss"	0.0649905
"colon cancer"	0.0649649
"asthma attack"	0.0647562
incest	0.0642226
trachoma	0.0642006
instability	0.0641806
SIDS	0.0640939
inequality	0.0640902
duplication	0.0640895
adultery	0.0638551
fertility	0.0637707
racism	0.06376
HIV	0.0637133
bronchitis	0.063705
ailment	0.0636417
misogyny	0.0635441
cholesterol	0.0633426
sensuality	0.0633419
outpatient	0.063325
carelessness	0.0631349
condensation	0.0631162
mismanagement	0.0630556
diarrhea	0.062925
heartburn	0.062703
pollution	0.0624399
congestion	0.0623747
retardation	0.062365
bribe-taking	0.0620934
gonorrhea	0.0620266
defect	0.0619333
dislocation	0.0618145
"Millennium Bug"	0.0617709
disability	0.0617071
insecurity	0.0613469
Psychosis	0.0611354
forgetfulness	0.0609792
maltreatment	0.0609047
"chest pain"	0.060867
homosexuality	0.0605262
hunger	0.0605031
theft	0.0601384
Tb	0.059909
inpatient	0.0598149
osteoarthritis	0.0596235
methamphetamines	0.0594665
harassment	0.0593982
"Parkinson's disease"	0.0592949
abnormality	0.0592092
"foul play"	0.0591716
overuse	0.0588005
alienation	0.0587354
"organized crime"	0.058641
reflux	0.0583661
apnea	0.0582928
poisoning	0.0579096
discrimination	0.0578591
infidelity	0.0577527
pornography	0.0577416
imbalance	0.0574854
"contagious disease"	0.0573722
))
(alcoholic (desc 13084.9) (sims
"drug addict"	0.134157
"drug user"	0.127926
"heroin addict"	0.12083
addict	0.116262
"substance abuser"	0.0993255
drunk	0.097406
schizophrenic	0.0949095
drinker	0.0936513
prostitute	0.0912355
abuser	0.0882484
gambler	0.0867632
"AIDS patient"	0.0835863
Pusher	0.0815324
junkie	0.081271
womanizer	0.0764743
"drug dealer"	0.0760839
"mentally retarded"	0.0736885
"traveling salesman"	0.0734616
schoolteacher	0.0716925
agnostic	0.071061
paraplegic	0.0704979
homeless	0.0702748
"juvenile delinquent"	0.0694725
thief	0.0690498
housewife	0.0679706
diabetic	0.0678673
adulterer	0.0668685
murderer	0.0666063
heterosexual	0.0642286
"school teacher"	0.063601
"good person"	0.0635515
homosexual	0.063107
criminal	0.0627112
pimp	0.0616727
"important person"	0.061495
"English teacher"	0.0607253
runaway	0.0605232
whiner	0.0602085
adolescent	0.059911
schemer	0.0594202
liar	0.0587355
loner	0.05852
offender	0.0584298
fireman	0.0583815
seamstress	0.0582006
panhandler	0.0579103
smoker	0.0570043
drifter	0.0569873
homemaker	0.0569462
weatherman	0.0565146
dropout	0.0560235
babysitter	0.0559367
felon	0.0557502
recluse	0.0553764
firefighter	0.0553655
orphan	0.0553322
hemophiliac	0.0552466
beautician	0.0551665
sufferer	0.055166
"social worker"	0.0548331
"truck driver"	0.0544475
"naval officer"	0.0541302
illiterate	0.0537612
stockbroker	0.053415
"volleyball player"	0.0534026
"electrical engineer"	0.0532279
widower	0.0530324
DEADBEAT	0.0529319
Caucasian	0.0528904
outcast	0.0528052
"alcoholic beverage"	0.0527583
pharmacist	0.0526772
newspaperman	0.052409
stepfather	0.0523868
"foster child"	0.0521783
whore	0.0515623
transvestite	0.0514535
"altar boy"	0.0514368
"professional golfer"	0.0511635
electrician	0.0509612
atheist	0.0509433
"school principal"	0.0508835
dentist	0.0505362
"con man"	0.0503716
dreamer	0.0502675
aunt	0.0502035
"registered nurse"	0.0501671
lesbian	0.0501575
breadwinner	0.0500926
"math teacher"	0.0500815
"jazz musician"	0.0498683
sharecropper	0.0498259
"hard worker"	0.0497888
therapist	0.0493335
infantryman	0.049139
"school superintendent"	0.0489696
bookkeeper	0.048792
teen-ager	0.0486605
housekeeper	0.0486108
"black person"	0.0482661
bigot	0.0482195
whiz	0.0478938
priest	0.0476911
worrier	0.0474258
"police sergeant"	0.0471867
bricklayer	0.0469501
aristocrat	0.0466482
valedictorian	0.046601
pro-life	0.0465007
psychiatrist	0.046372
"family man"	0.0463685
Episcopalian	0.0462372
ex-convict	0.0461058
librarian	0.0459051
preacher	0.0459045
delinquent	0.045904
businessman	0.0458013
deceased	0.0457807
"black man"	0.0457666
tomboy	0.0457353
"aerospace engineer"	0.0456004
"real estate broker"	0.0455864
snob	0.0455069
eccentric	0.0454993
caregiver	0.0454642
bodybuilder	0.0454146
freak	0.045246
"best friend"	0.0452157
cantor	0.0451615
HIV-positive	0.0451403
"police detective"	0.0449542
psychoanalyst	0.0449414
opportunist	0.0449057
beggar	0.0448365
pianist	0.0447422
nonsmoker	0.0447054
businesswoman	0.0446239
teenager	0.0446107
"factory worker"	0.0446059
violinist	0.0444865
robber	0.0444617
accountant	0.0443649
"law student"	0.044363
bimbo	0.0443619
girlfriend	0.0442062
madman	0.0441728
"young woman"	0.0441398
tyrant	0.0439313
alien	0.0439229
adventurer	0.0438769
hippie	0.0437273
"lieutenant colonel"	0.0436972
pastor	0.0435582
cheerleader	0.0435522
lawman	0.0434966
"character actor"	0.0434544
vegetarian	0.0434531
psychic	0.0433888
junky	0.0433759
"college student"	0.0433504
"con artist"	0.0433165
janitor	0.0433106
welder	0.0432127
"first cousin"	0.0431945
policeman	0.043191
"farm worker"	0.0431734
iconoclast	0.0431493
"young man"	0.0431103
Cop	0.0431084
boyfriend	0.0430892
"little boy"	0.0429791
"kidney disease"	0.0429024
showman	0.042673
"rich man"	0.0425676
trafficker	0.0425525
"interior designer"	0.0424964
lunatic	0.0424572
"hockey player"	0.0424531
transsexual	0.0424408
alcohol	0.0424307
caretaker	0.0423979
fisherman	0.0423423
surgeon	0.0422551
"major leaguer"	0.0421766
hustler	0.0421759
educator	0.0421547
waiter	0.0420688
laborer	0.0420578
mailman	0.0418873
Kurd	0.0417774
optimist	0.0417266
"baseball player"	0.041575
Hooker	0.0415362
plumber	0.0414332
"football coach"	0.0413782
"married man"	0.041326
anarchist	0.0413209
"soul mate"	0.0411941
"art student"	0.0410907
Deacon	0.0410621
))
("alcoholic beverage" (desc 5168.69) (sims
liquor	0.186595
beverage	0.164313
"household appliance"	0.154459
alcohol	0.148641
"mineral water"	0.148589
"soft drink"	0.147553
"consumer electronics"	0.131799
"dairy product"	0.129734
"snack food"	0.128806
cigarette	0.128053
"consumer goods"	0.125941
"durable goods"	0.125178
cosmetic	0.123162
Beer	0.122134
foodstuff	0.120268
"building material"	0.116201
tobacco	0.11552
whiskey	0.115412
"food product"	0.112755
"machine tool"	0.112163
newsprint	0.108942
"household product"	0.106996
tea	0.106858
"home appliance"	0.10618
"diesel oil"	0.103579
pharmaceutical	0.103565
appliance	0.103275
vodka	0.101647
sisal	0.100277
wine	0.0993748
"fruit juice"	0.0987258
apparel	0.0986992
cola	0.0979377
cement	0.0972708
"hard drug"	0.0970856
textile	0.0963288
"computer equipment"	0.0963015
"soda pop"	0.0957662
"California wine"	0.0950295
"motor vehicle"	0.0948136
"canned food"	0.0944068
footwear	0.0942093
Cigar	0.0934884
goods	0.0934279
"sparkling wine"	0.0934144
gasoline	0.0934116
booze	0.0929941
detergent	0.0927463
"breast implant"	0.092464
caffeine	0.0921323
soda	0.0914714
fertilizer	0.0906574
handicraft	0.0901294
"raw material"	0.090023
petroleum	0.0900092
housewares	0.0899367
coffee	0.0891632
"golf equipment"	0.0890128
air-conditioner	0.0884591
"cooking oil"	0.0882148
"electronic equipment"	0.0880233
automobile	0.0872919
knitwear	0.0871832
"passenger car"	0.0870723
machinery	0.0868435
"orange juice"	0.0863094
"specialty chemical"	0.0857491
perfume	0.0854327
"cashew nut"	0.0847959
"pig iron"	0.0844244
whisky	0.0840873
firearm	0.0839922
"green tea"	0.0838495
pesticide	0.0837629
snack	0.0837376
"cranberry juice"	0.083357
maize	0.0826892
"computer hardware"	0.0812721
"fish meal"	0.0809067
Cognac	0.0808954
sugar	0.0803615
garment	0.079335
"chewing gum"	0.0792254
petrol	0.0791956
"palm oil"	0.0791879
scotch	0.0790507
jute	0.0785319
"fuel oil"	0.0785218
Tyre	0.0783519
"aircraft part"	0.0783013
gemstone	0.0782349
"iced tea"	0.0781476
"food company"	0.0781063
vitamin	0.0770681
auto	0.076861
"frozen food"	0.0764459
"water heater"	0.0764024
"precious metal"	0.0761442
"farm machine"	0.0760947
"tv set"	0.0759812
steel	0.075838
petrochemical	0.0755542
liqueur	0.0753216
generics	0.0747953
candy	0.0747109
"communications equipment"	0.0741931
"apple juice"	0.0740529
"fossil fuel"	0.0739308
"black tea"	0.0738617
jewelry	0.0737776
conditioner	0.0736871
amphetamine	0.0736855
Avonex	0.0736662
"spring water"	0.073604
commodity	0.0734821
condiment	0.0733548
"washing machine"	0.0733031
"sewing machine"	0.0731468
"laundry detergent"	0.0731246
"iron ore"	0.0729016
milk	0.0729003
cereal	0.0726863
poultry	0.0723683
furnishings	0.0720062
semiconductor	0.0719116
jewellery	0.0718645
tequila	0.0717359
grain	0.0715495
"citric acid"	0.0714872
seafood	0.0714248
"natural gas"	0.0712627
Clothing	0.0708791
"wheat flour"	0.070868
timber	0.0708668
"office furniture"	0.0706812
citrus	0.0706611
electronics	0.0703868
merchandise	0.0701824
"coffee bean"	0.0700754
"ice cream"	0.0698883
"red wine"	0.0697813
"crude oil"	0.0697632
cotton	0.0696547
"liquefied natural gas"	0.0695765
champagne	0.0694219
chocolate	0.0693007
"pet food"	0.069263
"spare part"	0.0687646
"prescription drug"	0.0687259
Coal	0.0686439
"precious stone"	0.0685482
"liquefied petroleum gas"	0.0684482
lubricant	0.0676762
"disk drive"	0.067664
banana	0.0674579
"white wine"	0.0668927
CFCs	0.0668466
handgun	0.0665319
furniture	0.06648
"electric power"	0.0664534
"memory chip"	0.0661992
margarine	0.066148
"health food"	0.0659676
contraband	0.0659466
cocoa	0.0656773
wheat	0.0656434
popcorn	0.0653931
eggnog	0.0653881
groundnut	0.0653443
toiletry	0.0652343
"powdered milk"	0.065227
biscuit	0.0650385
pint	0.0650218
munition	0.0650161
"tortilla chip"	0.0648069
"cellular telephone"	0.0647106
coke	0.0646483
stout	0.0645932
additive	0.0645862
"baked goods"	0.0643491
TCM	0.0641889
sportswear	0.0641661
"hand-held computer"	0.0641103
ethanol	0.0640719
rum	0.0640502
"root beer"	0.0638853
"synthetic fiber"	0.0632959
hardware	0.0632157
cookware	0.0632004
"fish oil"	0.0631199
"potato chip"	0.0630282
"diesel fuel"	0.0629823
rapeseed	0.0628163
"consumer durables"	0.0625159
billet	0.062497
mutton	0.0623856
diamond	0.0622845
lemonade	0.0621249
marijuana	0.062113
khat	0.0620626
))
("Alcoholics Anonymous" (desc 926.632) (sims
"Weight Watchers"	0.151736
JMC	0.14659
"Audubon Society"	0.141975
"PLO Executive Committee"	0.139622
"Congress Working Committee"	0.133385
"Damascus Declaration"	0.129369
PNC	0.126429
FOMC	0.120572
eco	0.116987
Asia-Europe	0.114085
"Israeli Cabinet"	0.113691
"European Council"	0.11115
CWC	0.110811
IGC	0.108307
IPU	0.107535
Mensa	0.106149
"Asia Pacific Economic Cooperation"	0.106044
"Federal Open Market Committee"	0.105069
"American Lung Association"	0.104927
"North Atlantic Council"	0.103517
"U.N. Human Rights Commission"	0.10254
"Non-Aligned Movement"	0.101731
"Palestine National Council"	0.100145
"Commonwealth Ministerial Action Group"	0.0998339
PATA	0.0986504
"General Council"	0.0984809
"Palestinian Council"	0.0981777
"South Pacific Forum"	0.0977125
"Russian Security Council"	0.0975969
"ASEAN Regional Forum"	0.0967849
ARF	0.0963852
"Board of Governors"	0.0956215
"Consultative Group"	0.0953095
G-@@	0.0942497
WEU	0.0935588
"secret society"	0.0932996
"National Organization"	0.0932871
"American Association of Retired Persons"	0.0927226
"Congressional Black Caucus"	0.0925301
ASEM	0.092213
"Executive Committee"	0.0908053
"Paris Club"	0.0904164
"National Association"	0.089306
"Group of @@"	0.0891562
"League of Women Voters"	0.0881965
"Asia-Pacific Economic Cooperation"	0.0877568
NSC	0.0872575
UPU	0.0871443
"Log Cabin Republicans"	0.0867564
"Palestinian National Council"	0.0860311
"Supreme Council"	0.0843353
"Rules Committee"	0.0841762
OECD	0.0840146
Klan	0.0834597
"Jerusalem Committee"	0.0832844
PECC	0.0829254
CMAG	0.082749
"American Psychological Association"	0.082572
"Western European Union"	0.0820621
"American Heart Association"	0.0814667
"Group of Seven"	0.0810351
"World Economic Forum"	0.0808174
"National Council"	0.0805196
"Economic Cooperation Organization"	0.0800603
Russian-U.S.	0.0799995
"American Civil Liberties Union"	0.0795673
PCC	0.0790845
interagency	0.0785158
JLG	0.0776046
ELEVENTH	0.0771876
"National Education Association"	0.0763376
"Communist China"	0.0762769
"Provisional Ruling Council"	0.0761182
"American Psychiatric Association"	0.0760229
"steering committee"	0.0753761
"Gulf Cooperation Council"	0.0753558
"planning board"	0.0746123
"Federal Council"	0.0745649
NAM	0.0745131
"Promise Keepers"	0.0743032
"Central Organ"	0.0737694
Presidium	0.0737187
"Group of Eight"	0.0734419
Non-governmental	0.0734026
"Democratic Leadership Council"	0.0732455
"Monetary Policy Committee"	0.0731848
CGI	0.0727951
one-to-one	0.0727043
taskforce	0.072573
"American Academy of Pediatrics"	0.0721288
CITIC	0.0718774
"Arab Parliamentary Union"	0.071848
"Christian Coalition"	0.0718075
GCC	0.0716347
CITES	0.071274
"New York Yacht Club"	0.0711043
"Joint Military Commission"	0.0709527
"Organization for Economic Cooperation and Development"	0.0709343
"Inter-Governmental Authority on Development"	0.0706641
Politburo	0.0698381
"National Executive Committee"	0.0695796
"World Bank Group"	0.0692734
"China Democracy Party"	0.0690936
INRO	0.0687247
"Nahdlatul Ulama"	0.0686133
"Organization of Islamic Conference"	0.0684386
OIC	0.0683635
"Business Council"	0.0682431
"Joint Commission"	0.068078
"World Petroleum Congress"	0.0676789
sorority	0.0675914
"American Bar Association"	0.0674201
ADL	0.0672645
UUP	0.0671932
PBOC	0.0669896
Fatah	0.0667353
"Sierra Club"	0.0664802
"girl scout"	0.0661511
"Turkish Republic"	0.065966
PTA	0.065335
"Central Council"	0.0652926
ICC	0.0652718
"Operation Rescue"	0.0651185
AEC	0.0648074
"Human Rights Campaign"	0.0646574
"Fred Meyer"	0.0644654
"Rio Group"	0.0639391
AARP	0.0639387
"planning commission"	0.0638791
OAS	0.0636867
CPLP	0.0636828
sit-down	0.0636409
AA	0.0636341
"Independence Party"	0.0636171
Scientology	0.0635763
"Islamic Jihad"	0.0634154
Elf-Aquitaine	0.0632617
"Israeli Knesset"	0.0630467
"Board of Supervisors"	0.0628495
"Selection Committee"	0.0625927
"Salvation Army"	0.0622747
WEF	0.0622613
"Eighth National Committee"	0.0622281
UPC	0.0621936
"Air Line Pilots Association"	0.0619663
"executive council"	0.0616111
UDF	0.0614396
"Harvard College"	0.0613777
Bi	0.0613125
nine-hour	0.0613124
"round table"	0.0612751
Greenpeace	0.0611374
MPR	0.0608758
"Southern Baptist Convention"	0.0607772
"World Tourism Organization"	0.0605442
IDB	0.0602567
"National Council of La Raza"	0.0601754
EAC	0.0598456
sub-commission	0.05981
"armed service"	0.0597883
"finance committee"	0.0597715
"Third Session"	0.0597457
"military commission"	0.0594402
midwinter	0.0592059
ACLU	0.0591044
"interim committee"	0.0589757
RCD	0.0589197
"Olympic Council of Asia"	0.0589005
CPPCC	0.0586441
KKK	0.058619
"International Society"	0.0584644
"American Legion"	0.0581083
"religious order"	0.0579372
"American Red Cross"	0.0575466
"Human Rights Commission"	0.0574042
"Islamic Resistance Movement"	0.0574017
"Bank for International Settlements"	0.0572241
"European Parliament"	0.0571261
"Peace Corps"	0.0571142
inter-Korean	0.057051
"United Nations Conference"	0.0570072
ICA	0.0568518
"Handgun Control"	0.0568483
"United Nations Conference on Trade and Development"	0.05648
"Operation Lifeline Sudan"	0.0564016
CEC	0.0563928
IGAD	0.0563895
"Ku Klux Klan"	0.056358
"American Cancer Society"	0.0563296
AHA	0.0563114
"Group of Rio"	0.0561296
"wedding party"	0.0559255
"Association of Flight Attendants"	0.0559167
"March @-@@"	0.0556512
"Republican National Committee"	0.0554319
"East African Cooperation"	0.0553772
"Organization of American States"	0.0552743
"Aum Shinrikyo"	0.0552645
"Organization of Petroleum Exporting Countries"	0.0551521
Ebenezer	0.054921
))
(Alcoholism (desc 13700.1) (sims
"drug addiction"	0.210391
"alcohol abuse"	0.209431
Addiction	0.203681
"mental illness"	0.201713
Obesity	0.190983
"substance abuse"	0.187661
diabetes	0.184219
Depression	0.183471
Osteoporosis	0.178706
schizophrenia	0.174664
"cardiovascular disease"	0.174367
"manic depression"	0.173434
hypertension	0.171817
leukemia	0.171056
"heart disease"	0.170605
"Parkinson's disease"	0.167661
"drug abuse"	0.161928
infertility	0.161368
"high blood pressure"	0.160284
dementia	0.156216
"bipolar disorder"	0.155991
anemia	0.155778
epilepsy	0.155143
asthma	0.151213
"colon cancer"	0.150584
disorder	0.15025
"rheumatoid arthritis"	0.149173
homelessness	0.148896
arthritis	0.147585
illness	0.144844
pneumonia	0.144437
ailment	0.1411
Parkinson's	0.140473
cancer	0.139218
"lung cancer"	0.136276
"anxiety disorder"	0.135448
disease	0.13511
malnutrition	0.131537
hepatitis	0.130673
"kidney disease"	0.129298
tuberculosis	0.128624
insomnia	0.125304
"cystic fibrosis"	0.125089
"heart condition"	0.123905
ulcer	0.122929
"liver disease"	0.121651
lymphoma	0.121612
"multiple sclerosis"	0.121468
migraine	0.120613
poverty	0.120374
emphysema	0.1199
Alzheimer	0.117933
lupus	0.115876
glaucoma	0.115776
"heart attack"	0.115166
malaria	0.114696
syndrome	0.114201
"congestive heart failure"	0.113218
"back pain"	0.112999
"infectious disease"	0.112053
"drug use"	0.111914
drinking	0.111448
pregnancy	0.111196
autism	0.110996
"mental disorder"	0.110131
"health problem"	0.110037
impotence	0.109467
"child abuse"	0.108747
allergy	0.107561
osteoarthritis	0.107272
infection	0.106906
"eye disease"	0.105712
"sexually transmitted disease"	0.104755
"Lyme disease"	0.104469
smoking	0.104377
Psychosis	0.103987
bronchitis	0.103938
bulimia	0.102731
Truancy	0.102633
"heart failure"	0.101938
suicide	0.0987581
alcohol	0.097992
hemophilia	0.0979311
angina	0.0979272
blindness	0.0978701
HIV	0.0975233
"heroin addiction"	0.0972994
leprosy	0.0967244
illiteracy	0.0964336
cataract	0.09596
trauma	0.0954867
violence	0.095109
"respiratory disease"	0.0950592
dehydration	0.0949278
prostitution	0.0942461
HIV/AIDS	0.0932459
hunger	0.0919908
diarrhea	0.0919199
"common cold"	0.0914079
fatigue	0.091384
"juvenile delinquency"	0.091097
dysfunction	0.0910693
abuse	0.0905605
Meningitis	0.0902259
melanoma	0.0893511
"personality disorder"	0.0889342
deprivation	0.0883589
divorce	0.0878232
overdose	0.0877779
sickness	0.0877767
"skin cancer"	0.0874264
poisoning	0.0871304
als	0.086295
"mental health"	0.0861113
lawlessness	0.0860963
disability	0.0860156
unemployment	0.0860125
"food poisoning"	0.0857982
degradation	0.0853612
"memory loss"	0.0851587
retardation	0.0847836
defect	0.0844902
"drug trafficking"	0.0844192
malady	0.0844164
"brain tumor"	0.0843639
joblessness	0.0839602
flu	0.0838576
"neurological disorder"	0.0837864
"venereal disease"	0.0835482
"hepatitis B"	0.0834902
corruption	0.0833048
nausea	0.0829728
paralysis	0.0828837
neglect	0.082759
syphilis	0.0825679
infanticide	0.0816505
crime	0.0815904
hyperactivity	0.0815635
anxiety	0.0815051
incest	0.0814983
drunkenness	0.0813599
loneliness	0.0808551
instability	0.0808471
heartburn	0.0806744
Exhaustion	0.0800865
insecurity	0.07998
ill	0.079453
mortality	0.0793486
"sexual activity"	0.0792758
promiscuity	0.0791935
homosexuality	0.0791417
"panic attack"	0.0791268
stroke	0.0789035
miscarriage	0.0783544
"writer's block"	0.0781576
cholera	0.0780683
infidelity	0.0778927
hopelessness	0.077824
"skin disease"	0.0777853
myeloma	0.0774446
starvation	0.0773311
complication	0.0772703
nearsightedness	0.0762955
pandemic	0.0762175
despair	0.0757916
racism	0.075661
gambling	0.0753811
gastroenteritis	0.0753122
acne	0.0750934
Tb	0.0747958
frostbite	0.0746408
dependency	0.0745847
polio	0.0745833
epidemic	0.0742807
cholesterol	0.0741688
aids	0.0738953
deforestation	0.0737857
discrimination	0.0736491
sexuality	0.0733214
"drug problem"	0.0722446
deficiency	0.0722256
psoriasis	0.0718649
"heat exhaustion"	0.0718015
Distress	0.0714154
"muscular dystrophy"	0.070929
hardship	0.0705552
tumor	0.0704797
"stage fright"	0.0703373
rape	0.0693591
fever	0.0692437
recession	0.0691742
injury	0.0691284
abandonment	0.0690392
pain	0.0688904
seizure	0.0688583
"cerebral palsy"	0.0687628
deterioration	0.0683003
bigotry	0.0682385
"lead poisoning"	0.0678852
headache	0.0677888
))
(Alcorn (desc 1018.61) (sims
Ishihara	0.130595
Mukora	0.126925
Abram	0.116398
Kagalovsky	0.115713
Deane	0.109838
Goldin	0.106368
"Al Fayed"	0.105482
Illini	0.103827
Quackenbush	0.101344
Nanula	0.100876
Grimsley	0.0978361
Dowd	0.0962783
"Sam Houston"	0.0950808
Blackwell	0.0906338
Advani	0.0896432
Bolger	0.0892975
Solis	0.0888253
Nkomo	0.0880929
Baumann	0.087856
Hodler	0.0877445
Garza	0.0868568
Tarver	0.0866594
Hersh	0.0853058
Brundtland	0.0846707
Safir	0.0845853
Yadav	0.0844419
Kajiyama	0.083764
"De Klerk"	0.0830937
"La Mont"	0.0829486
Ritter	0.0829472
Scharping	0.0829359
Schott	0.0829001
Moratinos	0.0821651
Brazile	0.0821161
DeBartolo	0.0819674
McSorley	0.0818198
Nasrallah	0.0817351
Duisenberg	0.0810847
Thayer	0.0810512
Weber	0.0809653
"Horned Frogs"	0.0799952
Whipple	0.0799386
Traficant	0.0793852
"Saint Louis"	0.0784808
Ickes	0.0782386
Klestil	0.0775612
Ikeda	0.0773175
Marinovich	0.0773154
Lett	0.0772482
Fassett	0.0770697
Hamzah	0.0769883
Anelka	0.0767862
Sarid	0.0766596
Turetzky	0.0765635
Coe	0.0758154
Menuhin	0.0755043
Boilermakers	0.0753411
Symington	0.0753264
Blatter	0.0752194
Rideau	0.0751426
Horowitz	0.0747133
Rivlin	0.0743733
HELLER	0.0743448
Singson	0.0743135
Penn	0.0742958
Muoneke	0.0740897
Crawford	0.0737876
Carollo	0.0737656
Drabinsky	0.0736316
Kulikov	0.0732292
Boise	0.0730277
Yosef	0.0730216
Nemtsov	0.0728224
Bullard	0.0728061
Indyk	0.0727751
LaPierre	0.0727695
Daft	0.0725965
Warshaw	0.0725924
Kumar	0.0721833
Bechtel	0.072182
Flaherty	0.0718615
Ghani	0.0715548
Zeman	0.0714951
Arens	0.071438
Hindery	0.0712777
Rongen	0.0709142
Sihanouk	0.07082
O'Neil	0.0707541
Qureshi	0.070589
Khamenei	0.0705162
Sweeting	0.0700156
Riady	0.0699163
Barad	0.069694
Brazill	0.0696218
Blix	0.0695796
Wolfson	0.0692675
Lessig	0.0692341
Tsang	0.0691674
Dubus	0.069165
Slaney	0.0691583
Pangalos	0.0691229
Limon	0.0691103
Kesri	0.0689382
Sheinbein	0.0681607
Steiner	0.0681481
Solana	0.0680626
Valenzuela	0.0677667
Husseini	0.0676629
Fresno	0.0675744
Jacobs	0.0673038
Marineau	0.0672812
Welch	0.0671399
Puzo	0.0670466
"Sonia Gandhi"	0.0669875
hodgson	0.0669776
Blackman	0.0668933
Bidwill	0.0668579
Brogna	0.0665512
McGinn	0.0665405
Beazley	0.0661134
Mohajerani	0.0660353
Hayden	0.0660053
Connell	0.0659349
"Di Canio"	0.0658462
Roussel	0.0657023
Mavs	0.0656552
Neeman	0.0656299
Lockhart	0.0655127
Kang	0.0654051
Lobos	0.0652687
Lahoud	0.0652039
Sato	0.0650029
"Sadako Ogata"	0.0649969
Fiorina	0.0649099
Stroyev	0.0647555
Mandelson	0.0645443
Timlin	0.0645257
Smitherman	0.0643087
Hanna	0.0642676
Figueroa	0.064222
Zuma	0.0641567
Kharrazi	0.0641502
Starzz	0.0641431
"other eight"	0.0636881
Robison	0.0636543
Henley	0.0635715
Rothenberg	0.0635521
Coles	0.0635194
Mowlam	0.0634895
Appalachian	0.0634452
Verney	0.0633207
Ribbeck	0.0632836
leeson	0.0630492
"Juan Miguel"	0.063026
Kornberg	0.0630229
Fraga	0.0629501
Jacquet	0.0629301
Sotomayor	0.0628373
Logue	0.0628003
Engler	0.0627879
ACP	0.0624911
Callaghan	0.0624651
"another six"	0.0624486
Velayati	0.0624148
Bowie	0.0621938
Shatner	0.0621304
Kuhn	0.062005
Hanley	0.0619412
Wilhelm	0.0618602
"Quintana Roo"	0.0618402
Allard	0.0618193
Lind	0.0618098
Duquette	0.0617199
Orr	0.0617165
Kendall	0.0616906
Rousseau	0.0613108
Blackmun	0.0613014
Waigel	0.0612751
Mackey	0.0612244
Goh	0.0611783
Neel	0.0611627
Wong	0.0609611
Penders	0.0609128
Muhammad	0.0608876
Schottenheimer	0.0608753
Hobson	0.0608685
Levitt	0.0608663
Draper	0.0608217
Hynes	0.0607545
Hrawi	0.0607367
Dini	0.0606511
Coelho	0.0605805
Masur	0.0605645
"Krishna Prasad Bhattarai"	0.0605466
Robb	0.0605436
buckeye	0.0604948
Weah	0.0603328
hale	0.0603302
Gorter	0.0602715
Willard	0.0600739
))
(Alcott (desc 1319.6) (sims
Jenoff	0.110849
Doan	0.0834581
Clint	0.0657803
Vance	0.064355
"Le Cirque @@@@"	0.0641094
"Meg Mallon"	0.0620282
Amelia	0.0589261
Maharaj	0.0587149
Faldo	0.0583189
Gartner	0.0573174
Jeremiah	0.0545517
Zachary	0.0529965
Inman	0.052599
Azinger	0.0523826
Conley	0.0513765
"Juli Inkster"	0.0509445
McCray	0.0504844
Hyman	0.0499626
Schottenheimer	0.0487511
Smyers	0.0486262
Nikitin	0.0484424
"Pat Hurst"	0.0480072
Killeen	0.0472739
Szabo	0.0467425
Kodikian	0.0466808
Robison	0.0465751
Biffle	0.0462831
Bronson	0.0461245
BEGAY	0.0460835
Kohn	0.0460713
Cipollini	0.0459034
McGill	0.045832
Takahashi	0.0453799
Schmitt	0.0451309
Pippig	0.0448865
Gooding	0.0447244
Moakley	0.0446884
Cho	0.0445407
McAllister	0.0443949
Northup	0.0441027
Alec	0.0434067
Khannouchi	0.0432426
Ganassi	0.0431861
Zapruder	0.0431126
"Jose Maria Olazabal"	0.0428953
Shayler	0.0428805
NED	0.0428424
Pape	0.042841
"FALL @@%"	0.0426617
Lacresha	0.041964
Brees	0.0419521
Menchu	0.0417156
Ozaki	0.0416863
bock	0.0415933
Poe	0.0415733
Longo	0.0405165
Steinbeck	0.0404905
Broaddrick	0.0401728
))
(alcove (desc 2626.59) (sims
"sitting room"	0.114822
"living room"	0.0938064
"dining area"	0.0926383
"master bedroom"	0.0893036
courtyard	0.0872243
entryway	0.0857379
bedroom	0.0826612
semicircle	0.081469
promontory	0.0773577
"family room"	0.0753494
closet	0.0750291
patio	0.0740605
parlor	0.0733906
cubicle	0.071751
"tea house"	0.0716897
lounge	0.0716
"back room"	0.0709438
stairwell	0.0693807
foyer	0.0677757
balcony	0.0673919
"dining room"	0.067206
doorway	0.0658573
"storage room"	0.0655349
pew	0.0647922
"conference room"	0.0646631
Stairway	0.0643296
ledge	0.0636116
armchair	0.0635929
pantry	0.0634389
recliner	0.0632678
hallway	0.0628162
"dorm room"	0.0626382
"studio apartment"	0.0615827
outcrop	0.06158
"easy chair"	0.0613173
alleyway	0.0607524
crevice	0.0606032
rotunda	0.0604278
Alley	0.0602633
mezzanine	0.059576
nook	0.0594022
"hospital room"	0.0592819
"waiting room"	0.0585179
atrium	0.058284
porch	0.0578667
"holding cell"	0.0577618
earpiece	0.0576982
chapel	0.0573833
den	0.056589
grotto	0.0565437
"coffee pot"	0.0564764
"rose garden"	0.0558675
"car park"	0.0556815
restroom	0.055454
porthole	0.055453
Casket	0.0554134
armoire	0.0552972
"bomb shelter"	0.0543439
prong	0.0543117
auditorium	0.0542868
berm	0.0539206
hut	0.0534959
canteen	0.0532949
"shower stall"	0.0529394
"drawing room"	0.0529014
"rec room"	0.0526694
"bulletin board"	0.0525205
bunk	0.0523438
vestibule	0.0522363
terrace	0.0516535
"front yard"	0.0515722
inlet	0.0514654
Peachtree	0.0510718
drawer	0.0508639
"herb garden"	0.0507679
ravine	0.0507024
outhouse	0.0503535
pub	0.0502601
cellar	0.0501468
scaffold	0.0500313
paneling	0.0498503
locker	0.0498082
teahouse	0.0495034
staircase	0.0493992
walk-up	0.0491886
hyphen	0.0491463
bathtub	0.0490511
"PLO Executive Committee"	0.0489292
"display case"	0.0487718
"recording studio"	0.0487235
"medicine cabinet"	0.0481425
"gift shop"	0.0478054
"flower garden"	0.0475791
banquette	0.0473844
"row house"	0.0472544
"dance hall"	0.046902
"garbage dump"	0.0468753
"vacant lot"	0.0467044
braid	0.046578
compartment	0.0465356
cherub	0.0464869
"space heater"	0.0464828
indentation	0.0464784
urn	0.0462464
jetty	0.0461378
"teddy bear"	0.0461172
cocoon	0.0460427
"Lincoln Bedroom"	0.045915
tearoom	0.0457305
enclosure	0.0455563
imp	0.0453905
walkway	0.045349
"dress uniform"	0.0452056
"ranch house"	0.0452022
saloon	0.0451935
emulator	0.0449361
Picassos	0.0448385
"mobile home"	0.0445007
"air duct"	0.0444443
Cove	0.0441001
cupboard	0.0440789
amphitheater	0.0439716
"country house"	0.0439497
mini-van	0.0438589
gymnasium	0.0438572
hideaway	0.0435487
"dressing room"	0.0434907
hostel	0.0433853
outcroppings	0.0433119
dustbin	0.0433098
"water tower"	0.0432739
rowboat	0.0432422
bookcase	0.0430973
bistro	0.042991
megaplex	0.042905
dowel	0.0428156
"cargo container"	0.0427199
storefront	0.0425595
chalice	0.0425339
hilltop	0.0424866
gully	0.0422925
talc	0.0422239
"beauty parlor"	0.0421061
"slip of paper"	0.0421055
trowel	0.0420676
storeroom	0.0420363
playroom	0.0419667
"assembly hall"	0.0417632
culvert	0.0413833
tarp	0.0413619
veranda	0.0413057
gingerbread	0.0412826
"fire escape"	0.0412008
"jail cell"	0.041187
duplex	0.0411279
"garbage can"	0.0410767
cellblock	0.0410622
"radio transmitter"	0.0410378
"pedestrian bridge"	0.0409931
humming	0.0409166
"East Room"	0.0407393
"piece of land"	0.0406737
cot	0.0406368
"prison cell"	0.0405651
"air bubble"	0.0404243
bungalow	0.0403406
Matchbox	0.0403326
shack	0.0402966
smooch	0.0401205
"paper bag"	0.0401002
foxhole	0.0400212
"moving van"	0.0400072
))
(ALCS (desc 6273.79) (sims
"American League Championship Series"	0.316532
"Division Series"	0.286178
NLCS	0.208251
"American League Division Series"	0.175436
"World Series"	0.168863
"Western Conference Finals"	0.151013
"Stanley Cup Finals"	0.145248
"National League Championship Series"	0.137267
"NBA Finals"	0.131833
CWS	0.121668
"College World Series"	0.120263
"AL East"	0.117391
"Game @"	0.106347
doubleheader	0.103206
"Little League World Series"	0.102865
postseason	0.101787
playoff	0.0992198
"American League East"	0.09917
Series.	0.0949966
homestand	0.0935259
"Subway Series"	0.0890247
interleague	0.0882208
"All-Star Game"	0.0880757
no-decision	0.0873558
"American League"	0.0836724
"AFC Championship Game"	0.0789901
"playoff game"	0.0787074
"AL Central"	0.078687
"American League West"	0.0776348
"Game @."	0.0769606
no-hitter	0.0757372
one-hitter	0.0741423
nightcap	0.0733839
"Gold Cup"	0.0723339
post-season	0.0721324
"East Regional"	0.0720524
"spring training"	0.0705974
"extra inning"	0.0675543
"NCAA Tournament"	0.0675504
"South Regional"	0.0675187
"National League"	0.0656373
"AL West"	0.0645612
"exhibition game"	0.0643482
"perfect game"	0.0643069
off-day	0.0638838
"Sweet @@"	0.0636889
"Cactus League"	0.0633183
"NL East"	0.0626563
"Cotton Bowl"	0.0619956
"Super Bowl"	0.0605787
"Fiesta Bowl"	0.060379
Fenway	0.0603348
"All-Star Games"	0.0603049
"major league"	0.0599297
games.	0.0598452
at-bat	0.0590259
"big league"	0.0587383
"Fenway Park"	0.0585696
"Orange Bowl"	0.0581845
"Round @"	0.0581803
"U.S. Amateur"	0.0580632
"Yankee Stadium"	0.0579011
matchup	0.05782
shutout	0.0574046
RBI	0.0573173
season.	0.0571322
A's	0.0555884
"Rose Bowl"	0.0555669
"sugar bowl"	0.0551336
"Stanley Cup"	0.0548799
"cup final"	0.0540821
"Gator Bowl"	0.0538368
al	0.0537314
career.	0.0536075
"West Regional"	0.0534598
"Peach Bowl"	0.0524782
"football season"	0.0523518
"regulation time"	0.0522237
"Opening Day"	0.0520085
tourney	0.0517035
"Boston Marathon"	0.0516452
preseason	0.0515318
quarterfinal	0.051466
"home game"	0.051173
ANAHEIM	0.0502277
game.	0.0500156
"National Invitation Tournament"	0.0499391
"night game"	0.0496938
"first @@"	0.0496872
"day game"	0.0495241
"NFC Championship Game"	0.049022
"exhibition season"	0.0488593
"Belmont Stakes"	0.0488158
"road game"	0.0487527
"Boston Red Sox"	0.0483811
regular-season	0.0482279
"left field"	0.0479149
"Big Sky Conference"	0.0476675
"first five"	0.0474741
"Cy Young Award"	0.0473019
WNBA	0.0469764
"bottom of the inning"	0.0466704
"devil ray"	0.0466346
Padre	0.0465663
"Holiday Bowl"	0.0461486
NCAAs	0.0459378
pennant	0.0458602
"Atlantic Coast Conference"	0.0457691
majors	0.0456451
"first eight"	0.0453663
"first overtime"	0.0453494
NFC	0.0452882
tie-break	0.0452565
"New York Yankees"	0.0451839
rainout	0.0451574
"batting average"	0.04502
"Brickyard @@@"	0.0450052
"Eastern Conference"	0.0445466
tiebreak	0.0442491
"basketball season"	0.0442097
"Pro Bowl"	0.0440767
"Jacobs Field"	0.0440587
Pacific-@@	0.0440322
solitaire	0.0440222
"baseball season"	0.0440198
"first four"	0.043905
"Alamo Bowl"	0.0438418
"Daytona @@@"	0.0435227
"White Sox"	0.0434319
Preakness	0.0434179
"major league season"	0.0433627
"NL Central"	0.0432402
"Ryder Cup"	0.0431258
NL	0.0431054
two-point	0.0429493
ml	0.0429035
"New York City Marathon"	0.0427861
All-Star	0.0427075
"Pedro Martinez"	0.042601
no-decisions	0.0424857
"Kickoff Classic"	0.0424735
AFC	0.0423747
nonconference	0.042362
"first nine"	0.0422441
batting	0.0421294
"next three"	0.0419697
"Atlanta Braves"	0.041938
"National League East"	0.0419091
"AFC West"	0.0418972
"AFC Central"	0.0418334
"Tour Championship"	0.0418238
Derby	0.041814
"Italian Cup"	0.0417704
"eighth time"	0.0417486
"Western Conference"	0.0417452
AHL	0.0416365
"first three"	0.0415726
"baseball game"	0.0413642
"won @@@"	0.0413212
"NBA All-Star"	0.0412634
futility	0.0411011
"losing streak"	0.0410948
"PGA Championship"	0.0410574
"NL West"	0.0409672
"Olympic Trials"	0.0408524
"first cup"	0.0407948
"Six Day War"	0.0407704
"Copa America"	0.0406628
Masters	0.0406474
"Davis Cup"	0.0405212
marlin	0.0404763
"MLS Cup"	0.0404503
rematch	0.0403399
"match play"	0.0403283
"Super Bowl XXXIV"	0.0401179
ACC	0.0400225
))
(Aldair (desc 1913.23) (sims
Cafu	0.338811
"Junior Baiano"	0.285126
"Roberto Carlos"	0.281588
Rivaldo	0.221897
Denilson	0.207807
Dunga	0.202058
"Cesar Sampaio"	0.188637
Romario	0.176932
Bebeto	0.16689
Leonardo	0.139866
Taffarel	0.127605
Giovanni	0.124761
Ronaldo	0.120233
Edmundo	0.116929
Juninho	0.106861
"Gary Neville"	0.0997846
"Fan Zhiyi"	0.0985371
Emerson	0.088172
"Daryl Johnston"	0.0875218
"Tony Carter"	0.0858728
"Warren Moon"	0.0818318
"Bixente Lizarazu"	0.0788161
"Paul Caligiuri"	0.0785211
Hardeman	0.0781415
"Jaap Stam"	0.0771223
"Robin Fraser"	0.0769338
"Sam Gash"	0.0768927
"Paolo Maldini"	0.0758351
"Thomas Dooley"	0.0755446
"Doug Pederson"	0.0750221
"Larry Centers"	0.0746583
"Robert Thomas"	0.0740329
"Lilian Thuram"	0.071229
"Mike Burns"	0.0706419
"Tony Adams"	0.0700029
Zico	0.0694726
"Mike Alstott"	0.0686933
"Kevin Mathis"	0.0685408
"Laurent Blanc"	0.0674935
"Lothar Matthaeus"	0.06683
"Bobby Newcombe"	0.0667934
"Dan Petrescu"	0.0664134
"Jim Harbaugh"	0.0661577
"Glenn Foley"	0.0649616
corinthian	0.0646887
"Darrell Green"	0.064502
"Keith Byars"	0.0642774
"Bubby Brister"	0.0638097
"Kate Sobrero"	0.0634405
"Eddie Pope"	0.0627168
Toombs	0.0626668
"Trent Green"	0.0624462
"Todd Husak"	0.0619261
"Charlie Batch"	0.0612622
"Scott Mitchell"	0.0606432
"Ryan Kealy"	0.0589666
"Alexi Lalas"	0.0579288
"Rob Johnson"	0.0567754
"Angelo Peruzzi"	0.0558085
"William White"	0.0557813
"Grant Fuhr"	0.0556188
"Sinisa Mihajlovic"	0.0546661
"Erik Kramer"	0.0543872
"Tony Banks"	0.0537988
"Derek Fisher"	0.0528739
"Marcelo Balboa"	0.052783
"Ty Detmer"	0.052761
"Fernando Henrique Cardoso"	0.0525481
Welton	0.0524974
"Kevin Elster"	0.0523521
"Steve DeBerg"	0.0512971
"Tony Graziani"	0.0508694
"Sol Campbell"	0.0497188
"Jesse Orosco"	0.0493992
"Jeff Agoos"	0.0489804
"Jerome Bettis"	0.0485848
"Tom Presthus"	0.0484656
"Alex Gonzalez"	0.0483428
"Doug Johnson"	0.0478232
"Jim Harrick"	0.0474644
Taufik	0.0474184
"Rick Neuheisel"	0.047028
Lankford	0.0469011
Brister	0.0462673
"Gary Brown"	0.0461845
"Greg Vanney"	0.0460939
"Derek Harper"	0.0460661
Lucic	0.0458682
"Brandi Chastain"	0.0458248
"John Vanbiesbrouck"	0.0456937
"Ian Wright"	0.0456742
"Everett McIver"	0.045632
"Trace Armstrong"	0.0453917
Baerga	0.0452608
"Steve Atwater"	0.0449662
Polgar	0.0448915
"Ruud Gullit"	0.0447551
Gustafsson	0.0446955
"Terry Porter"	0.0446866
"Gus Frerotte"	0.0444671
"Frank de Boer"	0.0442337
Kealy	0.0440606
"Rick Mirer"	0.0439171
Harmoko	0.0438931
Akers	0.0435048
"Walter Zenga"	0.043488
"Matt Morris"	0.043209
Fiset	0.0428831
"Erik Williams"	0.042834
"Juergen Klinsmann"	0.0426049
"Jeff George"	0.0426016
Tanui	0.0424673
Baggio	0.0423517
"Chris Weinke"	0.0422759
"Herb Williams"	0.0422759
placekicker	0.0422338
"Fabrizio Ravanelli"	0.0420475
"Randall Cunningham"	0.0418074
"Carson Palmer"	0.0416635
"Brian Griese"	0.0416545
"Lou Dobbs"	0.0416077
"Tom Barrasso"	0.0415324
"Kevin Smith"	0.0414863
"Walt Weiss"	0.0414829
"Richey Reneberg"	0.0413101
"Ulf Samuelsson"	0.0412278
Flamengo	0.0411192
"Marques Anderson"	0.0410594
"Tony White"	0.0408274
Meligeni	0.0406822
"Henri Crockett"	0.0406583
"Danny Kanell"	0.0405844
"Joy Fawcett"	0.040531
"Fernando Hierro"	0.0403028
Hasselbeck	0.0402772
Ince	0.0402684
"Chris Osgood"	0.040048
"Pat Rapp"	0.0400396
))
(alderman (desc 1365.68) (sims
aldermen	0.155254
councilwoman	0.150975
"state senator"	0.120789
assemblyman	0.115346
"police sergeant"	0.103863
Postmaster	0.0978253
WGN	0.0958324
Councilman	0.0918387
"defense lawyers"	0.0907377
"state's attorney"	0.0872907
stuntman	0.0871674
"Robert E. Rubin"	0.0840549
infantryman	0.0821029
vaulter	0.0803307
"town clerk"	0.0800771
"Dan Morales"	0.0793052
"press agent"	0.0792936
"divorce lawyer"	0.0776337
"political boss"	0.0774704
"police lieutenant"	0.0757502
"investment adviser"	0.0756821
saleswoman	0.0750673
"Scott Harshbarger"	0.0748062
"Jocelyn Thibault"	0.073885
"department head"	0.0738667
"insurance agent"	0.073481
congresswoman	0.073281
Noonan	0.072979
"altar boy"	0.0728118
"O'Hare International Airport"	0.0719046
"Maria Hsia"	0.0713508
patrolmen	0.0711546
"planning commission"	0.0706827
"justice of the peace"	0.0701982
Councilor	0.0700936
jailer	0.0692515
"Jim Hodges"	0.0691867
"police captain"	0.068781
speechwriter	0.0687679
Councilors	0.0684696
"registered nurse"	0.0683945
Bhattarai	0.0681128
"police office"	0.0676071
Hevesi	0.0671004
sportswriter	0.0668741
publicist	0.0668629
"postmaster general"	0.0667482
"welfare worker"	0.0665179
kingmaker	0.0662979
prefect	0.0659869
"math teacher"	0.0658089
"Ann Richards"	0.0654612
"Paul Begala"	0.0650398
"solicitor general"	0.064745
"cabinet member"	0.0644838
newsman	0.0643757
solicitor	0.0642526
scoutmaster	0.0641069
"Fred Brathwaite"	0.0639945
Comptroller	0.0639072
stockbroker	0.0638356
oilman	0.0638322
"Jim Florio"	0.0638278
"staff sergeant"	0.063762
"police detective"	0.0636503
"Felipe Gonzalez"	0.0634599
"union representative"	0.063365
hairstylist	0.0626787
"school principal"	0.0624764
"interior decorator"	0.0622952
Wilhelm	0.0620876
"tax collector"	0.062016
"disk jockey"	0.0619132
"Manuel Noriega"	0.0618459
"Vin Scully"	0.0615718
"Christian Democrat"	0.0615352
"baseball coach"	0.0614667
"party boss"	0.0614017
"executive officer"	0.0612899
"lieutenant governor"	0.0605451
"Florida Republican"	0.0603667
ensign	0.0602558
sportscaster	0.0602453
"radio announcer"	0.0596247
"Vladimir Meciar"	0.0591843
"government minister"	0.0589802
fundraiser	0.0588858
bullfighter	0.0588383
"ballet dancer"	0.0587992
"House Appropriations Committee"	0.0587513
newswoman	0.0586968
underling	0.0586966
"department employee"	0.0585319
"Bob Bullock"	0.0583521
"naval officer"	0.0583204
"school superintendent"	0.0582784
triathlete	0.0582373
"futures exchange"	0.0580101
warden	0.0579382
anchorman	0.0577288
"Ethics Commission"	0.0577078
"corporate executive"	0.0576828
prizefighter	0.057622
"eye doctor"	0.0572532
"Senate Appropriations Committee"	0.0571092
"Terry McAuliffe"	0.0570139
cabdriver	0.0570043
Kaye	0.0567788
"Tony Coelho"	0.0566862
"church member"	0.05652
Strauss-Kahn	0.0564102
"insurance broker"	0.0563225
"real estate agent"	0.0562862
policewoman	0.056264
"foster parent"	0.0562163
"Zach Thornton"	0.0560334
autocrat	0.0559576
Atlantan	0.0558605
cellmate	0.0558153
"foreign service officer"	0.0557812
"media property"	0.0557661
nunnery	0.0557341
"Ernest Hollings"	0.0555974
lawman	0.0554808
"financial officer"	0.0553719
"Zell Miller"	0.0553477
submariner	0.0553328
"Erik Kramer"	0.0552838
"Palestinian Council"	0.0552749
Clothier	0.0551354
"Rhodes Scholar"	0.0550782
"Defense William Cohen"	0.0548951
"movie house"	0.0545216
paraplegic	0.0542857
"Mario Cuomo"	0.0542375
"Krishna Prasad Bhattarai"	0.054094
"purchasing agent"	0.0539434
"Nuclear Regulatory Commission"	0.0538362
stewardess	0.0536963
"Doug Gilmour"	0.0536088
vote-getters	0.053605
"North Carolina Republican"	0.0535825
"Tony Amonte"	0.0535317
bellhop	0.0534662
"object lesson"	0.0534385
"top dog"	0.0534113
"Tex Winter"	0.0531507
"art school"	0.0530499
"Treasury Secretary"	0.0530254
newspaperman	0.0529684
"big leaguer"	0.0527185
claimer	0.0527154
goal-scorer	0.0526211
"trial attorney"	0.0526026
Registrar	0.0525523
Yosef	0.0525158
"fire chief"	0.0524148
"Western Open"	0.0523107
bricklayer	0.0522046
"literary agent"	0.0519588
Bubb	0.0519023
neurologist	0.0518995
Eubanks	0.0518549
abbot	0.0518353
"business executive"	0.0517248
"Mike Foster"	0.0516978
"management consultant"	0.0516611
"right-hand man"	0.0515317
Glickman	0.0515222
Councillor	0.0514498
firefighter	0.0513114
"aerospace engineer"	0.0512089
"William Daley"	0.0512012
"Scottish Parliament"	0.0511815
archivist	0.0511584
"Darrell Green"	0.0511423
concertmaster	0.051056
businesswoman	0.0510002
"Celinda Lake"	0.0509832
"particle accelerator"	0.0509571
"eagle scout"	0.0508439
"hockey coach"	0.0508401
"National Security Adviser Sandy Berger"	0.0508242
"test pilot"	0.0508156
"council member"	0.0507448
"Secretary-General Boutros Boutros-Ghali"	0.0507409
"booking agent"	0.0506653
"sports writer"	0.0506387
psychoanalyst	0.0505726
repairman	0.0505481
"foster mother"	0.050512
"labor leader"	0.0503441
"trial lawyer"	0.0502503
"law practice"	0.0500344
Hahn	0.0499912
Kessler	0.0499288
"Tom Vilsack"	0.0497213
"Geraldine Ferraro"	0.0496903
"dairy farmer"	0.0496858
vice-mayor	0.0496782
))
(aldermen (desc 914.713) (sims
alderman	0.155254
"police sergeant"	0.117591
Councilors	0.107488
"Sydney Organizing Committee"	0.0981285
guardsmen	0.0898648
"planning board"	0.0867546
"Atlanta Journal"	0.0804681
starts.	0.0799184
"department head"	0.0790427
"Academy of Motion Picture Arts"	0.0787247
"Olympic Council of Asia"	0.0784245
Ghanaians	0.0769547
"Texas Democrats"	0.075524
QBs	0.0745826
baserunners	0.074095
"New York Democrats"	0.073692
"New York Republicans"	0.0735211
"Pulitzer Prizes"	0.073345
Blanton	0.0730546
"Cy Young Awards"	0.0716339
patrolmen	0.0708116
Allchin	0.070592
"Kosovo Serbs"	0.0694354
"Ethics Commission"	0.0692022
"Los Angeles City Council"	0.069182
"opera company"	0.0684649
Klansmen	0.0682445
"Orange County Register"	0.0682404
Deacon	0.068094
Pillars	0.0680275
Floridian	0.067697
"church member"	0.0675512
"council member"	0.0671381
"Jocelyn Thibault"	0.0670758
UML	0.0667764
great-grandchildren	0.0666034
crewmembers	0.0664359
"major-league team"	0.0664207
"Ryder Cups"	0.0663134
marketeers	0.0662192
"Bosnian Croats"	0.065814
"Angel Maturino Resendiz"	0.0652201
"Mike Sirotka"	0.0648178
WPP	0.0645451
"John Snyder"	0.0632275
"welfare worker"	0.0624436
"San Franciscans"	0.0624435
Fieger	0.061861
passersby	0.0617252
co-defendants	0.0617095
wideouts	0.061576
runnings	0.0615614
vote-getters	0.0613521
"Congress Working Committee"	0.0612939
councilwoman	0.0609169
"planning commission"	0.060823
Hsia	0.0606109
eighth-graders	0.0603165
"media property"	0.0599023
Alarcon	0.0598072
Carollo	0.0593382
"Bankers Trust Corp."	0.059333
par-@s	0.0593125
"Jim Parque"	0.0590289
Cepeda	0.0588242
Akayesu	0.0587783
"Motion Picture Association of America"	0.0585461
"Edwin Edwards"	0.0585197
"base runner"	0.0584257
"Zach Thornton"	0.0584026
Ecuadoreans	0.0581587
remotes	0.0578959
firemen	0.0576317
Londoner	0.0575973
Gurirab	0.057438
"Israeli Cabinet"	0.0573972
Realtor	0.0573936
"building society"	0.0573717
Villar	0.05705
"Chuck Schumer"	0.0570381
SDS	0.0569834
Oregonian	0.056834
twenty-four	0.0566033
"American Psychiatric Association"	0.0565651
GEC	0.0565484
"Al Capone"	0.0562917
Guidry	0.0560428
"National Guardsmen"	0.0560394
"Commonwealth Ministerial Action Group"	0.0559264
chaebol	0.0556186
"Board of Supervisors"	0.0554294
sportswriters	0.0553036
"South Carolinian"	0.055303
Englishmen	0.0551499
hairstylist	0.0550827
"New York Civil Liberties Union"	0.0550614
"political boss"	0.0550074
Concordes	0.0549599
spacewalks	0.0547641
"Constitutional Assembly"	0.0547481
Mahomes	0.0547236
"FALL @@%"	0.0545507
Quackenbush	0.0543448
games.	0.054311
Korman	0.0542089
crewmates	0.0541272
"National Association of Broadcasters"	0.0540779
"Southeastern Legal Foundation"	0.0539368
Barrionuevo	0.0536093
"bus route"	0.0536
"Israeli Arabs"	0.0534696
panelist	0.0533778
sixth-graders	0.0532733
"New York Times Co."	0.0529871
townspeople	0.0524441
no-decisions	0.0523999
Oppenheimer	0.0523977
Copt	0.0523479
"Port Authority of New York"	0.0518027
notary	0.0517924
B-@s	0.0517598
"Y&AMP;R"	0.0516188
CalPERS	0.0515859
skydiver	0.0514151
Echols	0.0513576
Gutman	0.0513465
"majority rule"	0.0511364
Latvians	0.0510554
beekeeper	0.0510475
"unearned run"	0.0509353
"Le Figaro"	0.0509308
cockatoo	0.0508979
"Atlanta Constitution"	0.0508044
foremen	0.0507827
Mississippian	0.0507385
Natale	0.0505533
clergymen	0.0505273
"High Museum of Art"	0.0504727
"Ron Paul"	0.0503661
"Environmental Defense Fund"	0.0503624
"Pro Bowls"	0.0503406
"Metropolitan Transportation Authority"	0.0502745
taster	0.050272
"House Democrats"	0.0502662
nonprofits	0.050251
Atlantans	0.0501892
"theater company"	0.0501292
"major league season"	0.0500353
"Bank for International Settlements"	0.0499997
"All-Star Games"	0.0499388
"Final Fours"	0.049931
storey	0.0498753
seasons.	0.0497319
"Frontier Corp."	0.0496994
Rocha	0.0495584
"Senate Finance Committee"	0.0494446
businesswomen	0.0494288
examinees	0.0493195
"Miuccia Prada"	0.0493003
bluesman	0.0492862
major-leaguers	0.0491472
"minor-league team"	0.0491112
Schaffer	0.049073
"House International Relations Committee"	0.0490402
Beathard	0.0488938
Maariv	0.0488127
KSE	0.0487317
backbencher	0.0487039
bottlers	0.0486904
"finance committee"	0.0486499
LeFave	0.0485938
Thapa	0.0485659
takeaways	0.0484181
McDougals	0.0483778
Ciampi	0.0483241
curveballs	0.0482854
Lugo	0.0481403
wellwisher	0.048117
"duffel bag"	0.0481022
"department employee"	0.0480991
Yarmila	0.0480885
"Thermo Electron"	0.0480724
fourth-graders	0.0479074
"symphony orchestra"	0.0478471
"board of trustees"	0.0477689
octogenarian	0.0477468
firsts	0.0476839
Strauss-Kahn	0.0476819
"Palestine National Council"	0.0476779
doomsayers	0.0476611
LIFFE	0.0476232
Moratinos	0.047605
"Kevin Tapani"	0.0475706
upperclassmen	0.0474496
Brinkman	0.0473738
Demaci	0.0473521
"residence hall"	0.0472729
Hirschbeck	0.047207
"North Atlantic Council"	0.0471359
"fire chief"	0.0470454
))
(Alderson (desc 2040.5) (sims
"Sandy Alderson"	0.188189
Reimer	0.128369
Finkel	0.127673
Zucker	0.121103
LaPierre	0.12098
Singson	0.113182
Gosper	0.11238
Wolfson	0.112118
Bolger	0.112073
Allard	0.11004
Waddell	0.108789
GRUNFELD	0.108442
"Brian Cashman"	0.108107
Ivester	0.108069
DeFrantz	0.106202
Rosenthal	0.105818
Ebersol	0.105616
Gossage	0.10452
Bronfman	0.101745
Azizah	0.101376
Joklik	0.100897
Goossen	0.100894
Daft	0.100686
Koskinen	0.0983219
Siazon	0.0975379
Hodler	0.095919
Reinsdorf	0.0955445
Ruehe	0.0949677
Barrie	0.0946664
Hunsicker	0.0936843
Caddell	0.0934485
Kurth	0.0917172
Layden	0.0917163
Klima	0.0916887
O'Neil	0.090807
McConnell	0.0904084
Allchin	0.0894661
Reiner	0.0892981
Kennard	0.0892225
Conroy	0.0887003
Flanagan	0.0885768
Hybl	0.0873828
Horne	0.0872752
Krause	0.086984
Lipponen	0.0865028
Colangelo	0.0864408
Solich	0.0864336
Stoneman	0.0864064
Fagan	0.0854098
Skiles	0.0849868
Mullinax	0.084888
Condit	0.0846395
Connolly	0.0845199
Rodionov	0.0843604
Manley	0.0843246
Troussier	0.0841107
Zambrano	0.0838162
Kyprianou	0.0836124
Checketts	0.0835248
Winkler	0.0831581
Kornberg	0.0831436
Rothenberg	0.0829504
Payne	0.082898
Gullikson	0.0826614
Byrne	0.0825421
Popovich	0.0825142
Dempsey	0.082488
Polian	0.0823941
Bavasi	0.0823585
Orban	0.0822835
Clements	0.0822436
Jensen	0.0821768
Rosen	0.0820901
Moonves	0.0820373
Shevardnadze	0.0819486
Ponciano	0.0816316
Milbury	0.0814098
ANGELOS	0.0812219
Gillick	0.0806869
Lowry	0.0806314
Kasoulides	0.0806021
Patel	0.080582
Hauser	0.0803522
Vogel	0.0803466
Kearin	0.0802627
Ickes	0.0801198
Dowd	0.0800942
Drabinsky	0.0800656
Bakaly	0.0798053
Feuer	0.0797329
McLane	0.0795007
Pearce	0.0793512
Sherrill	0.0791394
Snead	0.0789684
Calipari	0.0785103
Ratner	0.0784244
Advani	0.0782495
ROMNEY	0.0782364
Choate	0.0782102
Vasile	0.0779147
Guterres	0.0777172
Jorgensen	0.0776578
Caldera	0.0772576
Krasniqi	0.0770029
Hargrove	0.0769304
Chadwick	0.0768661
Fassett	0.0767442
Hiddink	0.0766493
Piot	0.0764835
Prewitt	0.0764464
Tuberville	0.0763753
"Juan Miguel"	0.0763386
Helton	0.0762663
Beilin	0.0761375
Ebbers	0.0761157
Meeks	0.0760395
Erving	0.0760142
Moseley	0.0758341
LaBella	0.0757544
Kraus	0.0757352
Boehner	0.075552
"Neil Smith"	0.0755027
Cashman	0.075478
Insulza	0.0753793
Levinson	0.0750129
Schmid	0.0748726
Schoenfeld	0.0747774
Diouf	0.0747723
Leavitt	0.0745931
Sorensen	0.0745672
Heyward	0.0745064
Steinbrenner	0.0743328
Wagoner	0.074084
Lau	0.0737419
Tran	0.0735616
Macfarlane	0.0734968
Jarrell	0.0733376
Husseini	0.0733243
Gaston	0.0732625
Silverstein	0.0732509
Ballmer	0.0731114
"Al Fayed"	0.072963
Selig	0.0729297
Evernham	0.0728365
Fassel	0.0726401
Carroll	0.0725302
Chao	0.0723982
"La Bella"	0.0723883
Harris-Lewis	0.072349
Dungy	0.0721394
Sinden	0.0720989
Spence	0.0720935
Cianci	0.0720336
Goh	0.0717296
Yosef	0.0717233
Rove	0.0717005
Wannstedt	0.0715897
Barksdale	0.0715327
Bettman	0.0715278
Valenti	0.0714776
Arnett	0.071451
Demaci	0.0713924
McCurry	0.0712328
McKinnon	0.0711924
Boyle	0.0711008
Heinrichs	0.0710559
Baugh	0.0710399
Dunleavy	0.0710395
Pfeiffer	0.0710137
Marineau	0.0707756
Fleischer	0.070686
Trulock	0.0706321
BURNHAM	0.0704699
Pappas	0.0703121
Rudman	0.0702738
Berger	0.0702072
Cooley	0.070073
Aguirre	0.0700391
Bogle	0.0699442
Tsang	0.0699267
McIlvaine	0.0698876
Wilkens	0.0698847
Guthridge	0.069792
Freeh	0.0696732
Wetherell	0.0696105
Zadornov	0.069516
Bidwill	0.0695055
Mariucci	0.069503
Babcock	0.0694772
McGuinness	0.0694168
McNulty	0.0693948
Lasorda	0.0693247
Feldman	0.0692758
Rooney	0.069178
Romar	0.0690391
Arum	0.0689586
Burleigh	0.068862
"Kevin Malone"	0.0688613
Barbour	0.0688178
Farrell	0.0687863
))
(Aldrin (desc 1151.54) (sims
"Buzz Aldrin"	0.282797
DDT	0.105955
Costas	0.105648
Perdue	0.0984131
"Neil Armstrong"	0.0961037
Snowe	0.0954645
"Tyler Hamilton"	0.0905477
Schultz	0.0886586
Lightyear	0.0823862
"Michael Collins"	0.0750145
Tillman	0.0724071
Madsen	0.070247
Stubbs	0.0676944
Virenque	0.0658206
McCormick	0.0649285
Danner	0.0647806
"Heath Irwin"	0.0642161
Piccard	0.0637665
"Emanuel Steward"	0.0630256
Gerard	0.0596546
"Richard Virenque"	0.0573525
DiPietro	0.0571869
Venter	0.0569392
McRae	0.0565576
Shiva	0.0564276
"Einar Diaz"	0.0563185
O'Hara	0.0550129
Juli	0.0546704
Hargrove	0.0543073
Bavasi	0.0524365
"Mission Control"	0.052168
biochemist	0.0514595
Solich	0.0506449
McGuinness	0.0504427
dioxin	0.0504175
Sheehan	0.0491973
conger	0.0491761
Raitt	0.0490185
dioxins	0.0486689
Moonves	0.0481858
Ghani	0.0481622
Klima	0.0479188
Rankin	0.0478874
Newsome	0.0476205
cosmonaut	0.0471734
"Albert Einstein"	0.0468462
Sehorn	0.0467603
lacy	0.0462544
Gibbs	0.0460694
Crockett	0.0460285
Ciampi	0.0460254
Hasegawa	0.0459462
Jobe	0.0458948
Severino	0.0454871
Groscost	0.0454421
Stahl	0.0447169
Cortines	0.0444077
Briscoe	0.0442009
Cepeda	0.0436471
"James Johnson"	0.0426154
Babcock	0.0424558
Ratner	0.042168
"Breda Kolff"	0.0419758
Janice	0.0419018
"Dan Meridor"	0.0418911
O'Reilly	0.0412752
Masur	0.0411621
Cleese	0.0409317
Ruggiero	0.0408513
Rodionov	0.0407658
"Orlando Mercado"	0.0406042
Paxton	0.0405339
Zubov	0.0405214
Jacobsen	0.0400789
))
(ale (desc 8648.92) (sims
lager	0.186602
stout	0.16217
Beer	0.144198
whisky	0.10923
whiskey	0.0898904
wine	0.0876046
brew	0.0863343
Guinness	0.080833
"red wine"	0.0806927
rum	0.0791763
scotch	0.0764396
cider	0.0757258
"white wine"	0.0744421
"hot chocolate"	0.0739274
soda	0.0720452
liquor	0.0707955
"apple juice"	0.0705522
lemonade	0.068155
vodka	0.0681301
tea	0.0673674
champagne	0.0669732
"ice cream"	0.0668101
"Bud Light"	0.0643436
cola	0.064315
"iced tea"	0.0641966
beverage	0.0641049
absinthe	0.0637785
mead	0.0636717
Tamale	0.0635274
soup	0.0634326
coffee	0.0615658
tequila	0.0614538
"Diet Coke"	0.0610184
cheesecake	0.0609466
cake	0.0609097
"soft drink"	0.0605944
sherry	0.0603694
"sparkling wine"	0.0597631
dessert	0.05927
Margarita	0.0591794
cappuccino	0.0581524
Pudding	0.0577204
sausage	0.0574587
stew	0.0571105
"orange juice"	0.0570609
burgers	0.0570275
Martini	0.0570062
Cognac	0.0569363
gravy	0.0566635
"root beer"	0.0563958
Chardonnay	0.056115
sauerkraut	0.0559698
bread	0.0541695
broth	0.0531079
fudge	0.0530044
liqueur	0.0527777
Budweiser	0.052579
malt	0.0521961
cuisine	0.051709
cooky	0.0516663
pie	0.0510799
Calvados	0.0510614
Porter	0.0509699
espresso	0.0507054
yogurt	0.0506592
bratwurst	0.0505845
cheese	0.0504543
sauce	0.0504153
doughnut	0.0503785
"ginger ale"	0.0499125
juice	0.04985
salad	0.0498102
"alcoholic beverage"	0.049178
cocktail	0.0489299
"mineral water"	0.0487457
smoothie	0.0485818
bubbly	0.0482146
compote	0.0481963
TART	0.0473656
brandy	0.0472684
"Sauvignon blanc"	0.0468046
syrup	0.0466555
suds	0.0464316
burger	0.0462523
Cabernet	0.0462509
"tap water"	0.0461343
"Dom Perignon"	0.0460713
frosting	0.0460121
aperitif	0.0459548
Corona	0.0456546
"green tea"	0.0452078
flan	0.0451926
"maple syrup"	0.0450539
chocolate	0.0449133
"cup of tea"	0.0448853
biscuit	0.0448788
taco	0.0448593
"fruit juice"	0.0444489
"dried fruit"	0.0443717
"french fries"	0.0442529
caramel	0.0441349
coke	0.044113
"soy sauce"	0.0440837
snack	0.0440685
brogue	0.0440489
pretzel	0.0437859
"hot dog"	0.0434668
buttermilk	0.0430431
Zinfandel	0.0426144
cream	0.0425491
pastry	0.042401
icing	0.0423809
"piece of work"	0.0421774
pizza	0.0420642
"sea food"	0.042016
candy	0.0419381
"potato chip"	0.0418731
muffin	0.0417043
bourbon	0.0416888
concoction	0.0415863
Riesling	0.0415093
"barbecue sauce"	0.0415055
filling	0.0414432
nectar	0.0414417
"hot sauce"	0.0414219
sushi	0.0413045
pasta	0.041285
ravioli	0.041262
chowder	0.0412447
"chemical compound"	0.041088
brownie	0.0409082
"warning signal"	0.0408675
puree	0.0408523
barbecue	0.0407282
Oktoberfest	0.0403196
mousse	0.0400284
popcorn	0.0400143
))
(Alec (desc 1822.41) (sims
Zachary	0.108496
"John Browne"	0.0871989
Evan	0.0799214
Colin	0.0729384
"Ronnie Flanagan"	0.0655104
"John Gielgud"	0.0644191
Clint	0.0633869
Brian	0.0631429
Jenoff	0.0627997
"Edmund Hillary"	0.0620733
"Alex Ferguson"	0.0612929
"John Jr."	0.0597504
"Jeremy Greenstock"	0.0583417
Ethan	0.0577516
Sapp	0.0573124
Matthew	0.0570605
Jeremy	0.056739
"Bobby Charlton"	0.055083
Gabe	0.0543598
knucklehead	0.0535004
Nate	0.053184
Jon	0.0531292
Elton	0.0518724
"Dale Jr."	0.0512564
great-grandson	0.0503883
Derek	0.05024
Fred	0.0500579
Vinny	0.0488583
Hal	0.0484026
Erik	0.0474314
matt	0.0471025
T.J	0.0470639
Timmy	0.0470005
Alexei	0.0464711
Burt	0.046265
Sebastian	0.0462103
Trevor	0.0460934
Brody	0.0458197
Stephen	0.0457973
Lyn	0.0455717
"Dee Dee"	0.0452511
Saul	0.0450014
Brandon	0.0441354
Wyatt	0.0439034
Odai	0.0437562
Alcott	0.0434067
timothy	0.0432652
Justin	0.0432143
Jacob	0.0431197
Doug	0.0425006
Childress	0.042247
"Joe Murray"	0.0422263
"Ian McKellen"	0.0416925
Blume	0.0416903
great-grandchildren	0.0413551
Gerald	0.0412022
Josh	0.0409808
Isaac	0.0405642
Roberto	0.0405516
Jamie	0.0404993
Suzanne	0.0404499
))
("Alec Baldwin" (desc 4169.59) (sims
"Christopher Reeve"	0.161466
"Robert DeNiro"	0.154889
"Warren Beatty"	0.117347
"Dennis Hopper"	0.115722
"Russell Crowe"	0.115177
"Jack Lemmon"	0.115131
"Kevin Bacon"	0.113466
"Robin Williams"	0.113008
"Matthew Broderick"	0.110101
"Dennis Quaid"	0.109793
"Billy Bob Thornton"	0.109077
"Bette Midler"	0.108638
"Kim Basinger"	0.103724
"Paul Newman"	0.103429
"Michael Douglas"	0.102891
"Woody Harrelson"	0.102414
"Matthew McConaughey"	0.102305
"Robert Redford"	0.102125
"Richard Dreyfuss"	0.101931
"Chevy Chase"	0.101471
"Liam Neeson"	0.0980063
"Harrison Ford"	0.0978244
"Johnny Depp"	0.0923262
"Brad Pitt"	0.091598
"Richard Gere"	0.0913798
"Denzel Washington"	0.0913187
"Tom Cruise"	0.0910315
"Gabriel Byrne"	0.0907892
"Sean Connery"	0.0906609
"Arnold Schwarzenegger"	0.090615
"Demi Moore"	0.090129
"Rupert Everett"	0.0900903
"Kevin Spacey"	0.0889714
"Rob Lowe"	0.0876315
"Bruce Willis"	0.0876104
"Cameron Diaz"	0.0872756
"Dustin Hoffman"	0.0869778
"Jack Nicholson"	0.0862029
"William Hurt"	0.0861873
"Brian Dennehy"	0.0859448
"Geoffrey Rush"	0.0858294
"Danny Glover"	0.0856597
"Aidan Quinn"	0.0851564
"Tom Selleck"	0.0848858
"George Clooney"	0.0845622
"Martin Sheen"	0.0833697
"Will Smith"	0.0833104
"Vanessa Redgrave"	0.0830157
"Tim Robbins"	0.0825529
"Stanley Tucci"	0.082516
"Jon Voight"	0.0824039
"Charlton Heston"	0.0822344
"James Van Der Beek"	0.0821828
"Halle Berry"	0.0818049
"Glenn Close"	0.0817689
"Gene Hackman"	0.0809358
"Susan Sarandon"	0.0807761
"Kevin Costner"	0.0800884
"Robert de Niro"	0.0792836
"Cybill Shepherd"	0.0789504
"William H. Macy"	0.0784939
"Antonio Banderas"	0.0780488
"Leonardo DiCaprio"	0.0774637
"Drew Barrymore"	0.077332
"Michael J. Fox"	0.0771684
"Kirsten Dunst"	0.0771631
"Marlon Brando"	0.0771135
"Kirk Douglas"	0.0769022
"Mark Wahlberg"	0.0767731
"Kathy Bates"	0.07654
"Christopher Plummer"	0.0763903
"Laurence Fishburne"	0.0761561
"Roberto Benigni"	0.07567
"Matt Damon"	0.075376
"Hugh Grant"	0.0753312
"Ben Affleck"	0.0747481
"Jeremy Irons"	0.0743331
"Sylvester Stallone"	0.0742953
"Edward Norton"	0.0742699
"Tommy Lee Jones"	0.0739433
"Whoopi Goldberg"	0.0738493
"Sidney Poitier"	0.0736677
"Samuel L. Jackson"	0.0734141
"Tom Hanks"	0.0730302
"Patrick Stewart"	0.0727816
"Nicole Kidman"	0.0727266
"Jamie Foxx"	0.0722574
"Annette Bening"	0.0722412
"John Travolta"	0.0717195
"Clint Eastwood"	0.0716857
"Wesley Snipes"	0.0702179
"Meryl Streep"	0.0700901
"Mel Gibson"	0.0699608
"Dan Aykroyd"	0.069234
"Julie Andrews"	0.0692135
"PHILIP SEYMOUR HOFFMAN"	0.0691889
"Michael Caine"	0.0691833
"William Shatner"	0.0691062
"Gregory Peck"	0.0690438
"Barbra Streisand"	0.0686255
"Omar Epps"	0.0684038
"Robert Downey Jr."	0.0683097
"Joan Allen"	0.0682
"Ian McKellen"	0.0680765
"Sean Penn"	0.0680408
"Geena Davis"	0.0677546
"James Woods"	0.0674868
"AL PACINO"	0.0674245
"John Goodman"	0.0668264
"Kenneth Branagh"	0.0667362
"Keanu Reeves"	0.066076
"Taye Diggs"	0.0658799
"Sandra Bullock"	0.0652652
"Uma Thurman"	0.0648979
"Sigourney Weaver"	0.0648322
"Bill Murray"	0.0647827
"Diane Keaton"	0.0645972
"Joseph Estrada"	0.0641526
"Carol Burnett"	0.0641467
"Sharon Stone"	0.0640249
"James Stewart"	0.0639044
"Brenda Blethyn"	0.0638039
"Cuba Gooding Jr."	0.0633922
"Kelsey Grammer"	0.06322
"Jackie Chan"	0.0631524
"JOHN TURTURRO"	0.0630558
"Harvey Keitel"	0.0627189
"Ralph Fiennes"	0.062694
"John Leguizamo"	0.0624361
"Sarah Jessica Parker"	0.0621021
"Eddie Murphy"	0.0619404
"Jim Carrey"	0.0619244
"Walter Matthau"	0.0617092
"Pierce Brosnan"	0.0610411
"Willem Dafoe"	0.0608931
"Jimmy Smits"	0.0608759
"Ted Danson"	0.0605884
"Alfre Woodard"	0.0604272
"Lauren Bacall"	0.0603704
"Rene Russo"	0.0602992
"Brooke Shields"	0.0598755
"Burt Reynolds"	0.0597867
"David Spade"	0.0597066
"Jeff Bridges"	0.0596667
"Shirley MacLaine"	0.0593556
"Jessica Lange"	0.0591681
"Ethan Hawke"	0.0588849
"Angela Bassett"	0.0586708
"Hank Azaria"	0.0586334
"Meg Ryan"	0.058577
"Gwyneth Paltrow"	0.0584614
"Ed Harris"	0.0578055
"Jodie Foster"	0.0574563
"Christian Slater"	0.0573722
"Faye Dunaway"	0.0571964
"Nathan Lane"	0.0571701
"Martin Short"	0.0567845
"John Belushi"	0.0566153
"Jason Alexander"	0.0563115
"Ian Holm"	0.0558952
"Claire Danes"	0.0553865
"Humphrey Bogart"	0.0553279
"David Duchovny"	0.0553089
"Al Joyner"	0.0551907
"Kathleen Turner"	0.0551425
"Jimmy Stewart"	0.0549673
"Frances McDormand"	0.0546521
"Chow Yun-Fat"	0.0546372
"Parker Posey"	0.0543624
"Lana Turner"	0.0540444
"Sela Ward"	0.0538307
"Minnie Driver"	0.0537575
"Nick Nolte"	0.0536459
"Nigel Hawthorne"	0.053613
"Jane Fonda"	0.0534316
"Julia Roberts"	0.0532079
"John Malkovich"	0.0531675
"Ewan McGregor"	0.0531625
"Andre Braugher"	0.0530631
"Nicolas Cage"	0.0524634
"Brendan Fraser"	0.0523979
"Ben Stiller"	0.0522361
"David Arquette"	0.0521774
"Helen Hunt"	0.0511628
"Denis Leary"	0.0506939
wattage	0.0503016
"Goldie Hawn"	0.0502882
"Norm MacDonald"	0.050104
Madonna	0.0499171
"David Geffen"	0.0497266
"Kate Winslet"	0.0495456
"Holly Hunter"	0.0494028
"Emily Watson"	0.0492654
Cleese	0.0491603
"Dame Judi Dench"	0.049085
"Michelle Pfeiffer"	0.0489805
"Billy Crudup"	0.0488259
"Melanie Griffith"	0.0486226
"Elizabeth Taylor"	0.0485324
"Martin Lawrence"	0.0483255
))
("Alec Stewart" (desc 3017.88) (sims
"Mark Butcher"	0.286998
"Mike Atherton"	0.228431
"Nasser Hussain"	0.222448
"Hansie Cronje"	0.195577
"Dean Headley"	0.173499
"Mark Taylor"	0.151562
Cronje	0.134023
"Wasim Akram"	0.131202
"Paolo Maldini"	0.126055
"Mark Ramprakash"	0.115607
"Salim Malik"	0.109881
"Steve Waugh"	0.107803
"Mark James"	0.107745
"Alan Shearer"	0.105342
"Roy Keane"	0.104069
lbw	0.10336
"Moin Khan"	0.103284
Boucher	0.102481
"Tony Adams"	0.101206
Hussain	0.1011
"Ian Healy"	0.100855
"Didier Deschamps"	0.100588
"Julie Foudy"	0.097177
"Brian Lara"	0.0969581
"Steve Yzerman"	0.0943201
"Carl Hooper"	0.0929254
"Mark Boucher"	0.0925403
"Sun Wen"	0.0904733
"Carla Overbeck"	0.0877967
"David Seaman"	0.0872347
"Justin Langer"	0.083094
"Scott Stevens"	0.0817786
"Darren Gough"	0.0806826
"Thomas Dooley"	0.0802437
"Angus Fraser"	0.0782508
"Ben Crenshaw"	0.0780903
"Francesco de Angelis"	0.0769318
"Frank de Boer"	0.0759512
"Lothar Matthaeus"	0.0748599
"Gheorghe Hagi"	0.0748493
"John Harkes"	0.0729731
Kallis	0.0728555
"Fan Zhiyi"	0.0719512
Atherton	0.0705624
"Brian Leetch"	0.0686682
"Larry Dierker"	0.0683146
Dunga	0.0677263
"Mark Messier"	0.0677158
"Juergen Klinsmann"	0.0672876
"Gary Kirsten"	0.0672747
batsmen	0.0670959
"Dennis Conner"	0.0670044
"Curtly Ambrose"	0.0659932
"Rob Blake"	0.0656213
"Angelo Peruzzi"	0.0650302
Taufik	0.0641759
"Glenn McGrath"	0.0633751
"Dale Murphy"	0.0627333
"Derian Hatcher"	0.0625889
cricketer	0.0621916
"Sol Campbell"	0.0620486
"Ian Wright"	0.0618205
"Fabien Barthez"	0.060815
"John McEnroe"	0.0606084
"Steve McManaman"	0.0604347
"Keith Tkachuk"	0.0600047
"Jacques Kallis"	0.0595635
batsman	0.0595233
Healy	0.0587529
"Kevin Keegan"	0.0587061
Picard	0.0585178
Langer	0.058464
"Zvonimir Boban"	0.0582701
"Seve Ballesteros"	0.0576498
"Paul Cayard"	0.0574742
"Kevin Hartman"	0.0565422
"Mike Burns"	0.0564649
"Claudio Reyna"	0.0554518
"Eric Lindros"	0.0548507
"Xia Xuanze"	0.0548441
"Allan Donald"	0.054791
"Oliver Bierhoff"	0.0540352
"Drazen Ladic"	0.0537622
Gustafsson	0.0533755
Maldini	0.0528635
"Eileen Collins"	0.0528495
"Richard Wright"	0.0527904
"Candra Wijaya"	0.0527089
Keane	0.0513045
"Reggie Lewis"	0.0508864
"Peter Gade Christensen"	0.0507723
"Paul Merson"	0.0505881
"Billie Jean King"	0.0505082
"Owen Nolan"	0.0502455
"Robbie Fowler"	0.0499868
"Liu Yong"	0.0498805
Leetch	0.0493705
"Jonty Rhodes"	0.0488306
"Mats Sundin"	0.0487131
"Barry Larkin"	0.0485277
McGrath	0.047826
"Taufik Hidayat"	0.047414
Lue	0.0473468
Sundin	0.0471102
underpants	0.0470226
"Lou Piniella"	0.0468747
"Joe Sakic"	0.0465666
"Ricky Ponting"	0.0464313
"Paul Gascoigne"	0.046418
"Paul Ince"	0.0463857
"Ray Bourque"	0.0462718
Yzerman	0.0462234
"Michael Owen"	0.0454964
"Fighting Irish"	0.0452109
"Terry Collins"	0.0450679
Eliza	0.0447519
Kirsten	0.0445029
Bierhoff	0.0440891
"Jaromir Jagr"	0.0440428
Gough	0.0436719
"Chris Pronger"	0.0436233
Peca	0.04349
"Mark Waugh"	0.0434817
"Dong Jiong"	0.0432107
"Jose Luis Chilavert"	0.0431205
"Courtney Walsh"	0.0430987
"Damien Fleming"	0.043089
"Tom Kite"	0.0430124
"Jacco Eltingh"	0.0419475
"American Andre Agassi"	0.0419261
Okada	0.0418783
"five spot"	0.0418733
"Jimy Williams"	0.0417578
"Van Roost"	0.0416894
Medvedev	0.0410761
"Joko Suprianto"	0.0409921
"Jack Nicklaus"	0.0409119
Yashin	0.0408671
"Tom Presthus"	0.0406188
"Richard Ashby"	0.0405503
"Stan Collymore"	0.0403547
"Don Young"	0.0403023
"Gianluca Pagliuca"	0.0400417
))
("Alejandro Toledo" (desc 2397.82) (sims
"Vojislav Kostunica"	0.419828
"Gennady Zyuganov"	0.239866
"Garry Mauro"	0.23213
"Vicente Fox Quesada"	0.231346
"Francisco Labastida Ochoa"	0.230427
"Dan Lungren"	0.212855
"John Hagelin"	0.205079
"Eliot Spitzer"	0.178896
"Matt Fong"	0.173782
"Tom Campbell"	0.171982
"Linda Smith"	0.169534
"Grigory Yavlinsky"	0.166034
"Megawati Sukarnoputri"	0.164581
"Cuauhtemoc Cardenas"	0.164496
"Bob Franks"	0.162682
"Francisco Labastida"	0.161519
"Peter Vallone"	0.159429
"Scott Harshbarger"	0.157334
"Rick Lazio"	0.155224
"David Duke"	0.154658
"Gerhard Schroeder"	0.150764
"Patrick Buchanan"	0.149054
"David Jones"	0.143471
"Vicente Fox"	0.140692
"Elizabeth Dole"	0.132473
"Jon Corzine"	0.131921
"Steve Forbes"	0.131526
"Guy Millner"	0.129505
"Michael Dukakis"	0.127018
"Bill Bradley"	0.123916
"Alan Keyes"	0.123696
"Bob Dole"	0.122284
"James Soong"	0.120936
"Gary Bauer"	0.119905
Bishara	0.11895
"Yitzhak Mordechai"	0.117828
"Jim Florio"	0.116602
"Paul Krugman"	0.113899
"Jim Hodges"	0.113778
"Gary Hart"	0.113565
"Sam Rainsy"	0.111814
"Roosevelt Johnson"	0.110805
Zyuganov	0.110329
"Clint Reilly"	0.109768
"Pat Buchanan"	0.108919
"John Edwards"	0.108179
"Andres Pastrana"	0.108151
"Charles E. Schumer"	0.107022
"Charles Schumer"	0.105912
"Rudolph Giuliani"	0.105698
"Amien Rais"	0.104797
"Buddy MacKay"	0.103039
"Lamar Alexander"	0.102093
"Vuk Draskovic"	0.100641
"Northern Alliance"	0.100073
"Megawati Soekarnoputri"	0.0983498
"Zoran Djindjic"	0.0961565
"Shimon Peres"	0.0944248
"Mel Carnahan"	0.0937202
"Krishna Prasad Bhattarai"	0.0923222
"Ali Mahdi Mohamed"	0.0919228
Zhirinovsky	0.0918594
"United National Independence Party"	0.0909648
"William Hague"	0.0903791
"Ricardo Lagos"	0.0898254
"Bangladesh Nationalist Party"	0.0898114
"Dick Cheney"	0.0888249
"Rudy Giuliani"	0.088812
"John Anderson"	0.0879542
"Mitt Romney"	0.0872712
"Ralph Nader"	0.0863781
"Barry Goldwater"	0.0862277
"Hillary Rodham Clinton"	0.0860796
"Paul Taylor"	0.0860539
"Viktor Orban"	0.0859755
"Hashim Thaci"	0.0854618
Toledo	0.08423
"Xanana Gusmao"	0.0838358
"Ian Paisley"	0.0836388
"Jack Kemp"	0.0831385
"Lokendra Bahadur Chand"	0.083075
"Yossi Sarid"	0.0828703
Shui-bian	0.0815401
"Young America"	0.0808074
Wamba	0.0804878
"George McGovern"	0.0803052
"Congress Party"	0.0799129
"Inkatha Freedom Party"	0.0790909
Kazhegeldin	0.0786567
Polgar	0.0782011
"Nancy Kerrigan"	0.0777777
Ruehe	0.077112
"Henry Aaron"	0.0768582
"Nur Misuari"	0.0760446
"Dan Quayle"	0.0758645
"Geraldine Ferraro"	0.07513
"Ibrahim Rugova"	0.0744385
"Helen Clark"	0.0742081
"Michael Grant"	0.0740298
Jayalalitha	0.0736137
"Peter Fitzgerald"	0.0733371
UNIP	0.0732378
"George Speight"	0.0731191
"Vojislav Seselj"	0.0729926
"Bashkim Fino"	0.0727495
Renamo	0.0720707
"Sepp Blatter"	0.07193
Silva	0.0715627
"Hugo Chavez"	0.0712904
"Michael Schumacher"	0.0712172
"Rashid Dostum"	0.0711839
"Fatos Nano"	0.0709106
"Sali Berisha"	0.0706999
"Joseph Lieberman"	0.0699009
Buthelezi	0.0698864
"Salim Hoss"	0.069314
Berisha	0.0692259
Zajedno	0.0690512
"Orrin Hatch"	0.0689192
"Colin McRae"	0.0686752
"Walter Mondale"	0.0683447
"William Weld"	0.068263
"Joseph Bruno"	0.0680156
"Younes El Aynaoui"	0.06732
"Roy Barnes"	0.0670057
"Moshood Abiola"	0.0670022
"David Levy"	0.0668171
"Gray Davis"	0.0667401
"Ross Perot"	0.0662925
"Henry Akinwande"	0.0659613
"Ayatollah Ruhollah Khomeini"	0.0656447
Zadornov	0.0654494
"Jeb Bush"	0.0653275
"John Kasich"	0.0652457
Thyssen	0.0652037
Chand	0.0651714
"Jesse Jackson"	0.0650986
"Alexander Lebed"	0.0649787
"Thabo Mbeki"	0.0647993
"Atal Behari Vajpayee"	0.0647509
"Bruno Megret"	0.064737
"Kurdistan Democratic Party"	0.0647045
"Betsy McCaughey Ross"	0.0646443
"Netscape Communications"	0.0646433
"Democratic Unionists"	0.0645428
SPD	0.064135
"Viswanathan Anand"	0.0637753
"Grand National Party"	0.0637128
"Gerry Adams"	0.0629233
Councilman	0.062878
"Wolfgang Schaeuble"	0.0627705
"De Klerk"	0.0626149
Duisenberg	0.062461
"Aryeh Deri"	0.0623101
"Donald Trump"	0.0620719
"Pepsico Inc."	0.061671
"Ansumane Mane"	0.0616563
Bauer	0.0614843
Carollo	0.0614558
Ranariddh	0.0613357
"Paulie Ayala"	0.0612788
"Abdurrahman Wahid"	0.0612641
"Richard Gephardt"	0.0610009
"Bill McCollum"	0.0608963
"Joseph I. Lieberman"	0.0605225
"Bob Smith"	0.060465
Jovanovic	0.060463
"Howard Baker"	0.0598734
"Bharatiya Janata Party"	0.0597909
"Mikulas Dzurinda"	0.0597147
"Khaleda Zia"	0.0596764
Dae-jung	0.0596339
"Aslan Maskhadov"	0.0595292
"Mark Green"	0.0594494
"Silvio Berlusconi"	0.0594022
"Netscape Communications Corp."	0.0593814
"Oskar Lafontaine"	0.0593367
"Orlin Norris"	0.0591257
Prodi	0.0589834
Rais	0.0589289
"Don Nickles"	0.0588653
mujahedeen	0.0588593
"Kjetil Andre Aamodt"	0.0587716
"Gulbuddin Hekmatyar"	0.0583988
Hallinan	0.0582439
"Aung San Suu Kyi"	0.0578239
Poplasen	0.0576916
Denktash	0.0576025
"David Trimble"	0.0575948
"Foday Sankoh"	0.0572467
"Rick Perry"	0.0572293
"Louis Farrakhan"	0.0572186
Nateq-Nouri	0.0570516
"Tommi Makinen"	0.0569067
"Frankie Fredericks"	0.0566773
"Marco Pantani"	0.0566603
"Benazir Bhutto"	0.0565487
HDZ	0.0565272
"New Aspiration Party"	0.0564121
"National Convention Executive Council"	0.0563777
))
(Aleman (desc 2215.73) (sims
Shevardnadze	0.168728
Obasanjo	0.151509
Klestil	0.151201
Kuchma	0.148
Diouf	0.147804
Muluzi	0.144843
Stoyanov	0.141575
Bedie	0.141466
Chavalit	0.139249
Kwasniewski	0.138582
Estrada	0.137675
Constantinescu	0.137538
Narayanan	0.137524
Nazarbayev	0.135766
Pustovoitenko	0.134915
Samper	0.134081
Chissano	0.133825
Banharn	0.133792
Bizimungu	0.133675
Pastrana	0.132323
Blatter	0.132278
Velayati	0.131687
Banzer	0.131113
Rua	0.130397
Guterres	0.129157
Rakhmonov	0.128674
Dodik	0.127018
"de Charette"	0.126797
Portillo	0.126562
Hasina	0.12526
Mikhailov	0.124558
Aquino	0.122845
Lukashenko	0.122817
"Ricardo Lagos"	0.122082
Voinovich	0.12158
Kumaratunga	0.121351
Alatas	0.121301
Wahid	0.121103
Schuessel	0.120332
Tarawneh	0.119785
Cubas	0.119584
Menem	0.119324
Solis	0.118817
Rafsanjani	0.118591
Museveni	0.118498
Mkapa	0.118371
Gowda	0.117877
Katsav	0.11776
Deuba	0.117654
Strauss-Kahn	0.11759
Cardoso	0.116761
Aliev	0.116685
Chuan	0.116588
Leavitt	0.116583
Akayev	0.115906
Chiluba	0.115583
Azizah	0.115446
Bishara	0.115443
Rawabdeh	0.115295
Scalfaro	0.115228
Guei	0.114301
Bildt	0.114291
Conte	0.114202
Balaguer	0.113931
Saleh	0.113752
Mahuad	0.113584
Surin	0.113419
Siegelman	0.112079
Alarcon	0.111938
Luzhkov	0.111144
Ruehe	0.110948
Azad	0.110565
Aznar	0.110334
Wolfensohn	0.110141
Ogata	0.110053
Granic	0.109735
Moscoso	0.109588
Bouteflika	0.109339
Xiang	0.109143
Advani	0.109103
Koirala	0.1089
Insulza	0.108416
Reimer	0.108164
Kazhegeldin	0.108072
Tian	0.107837
Zeroual	0.107784
Zuma	0.107538
Yazdi	0.107496
Donohue	0.107488
Habibie	0.107324
Hamid	0.107301
Ecevit	0.107275
Ouattara	0.107264
Rau	0.107234
Musa	0.107234
Ikimi	0.106768
Kostov	0.10669
Carollo	0.106372
Molinari	0.106205
Hariri	0.105966
Imperatori	0.105965
Jayakumar	0.105354
Poplasen	0.105168
Piot	0.104914
Wenger	0.104756
Djukanovic	0.103555
Abubakar	0.103437
Nujoma	0.103314
Izetbegovic	0.103159
Passarella	0.10308
Kok	0.10301
Orban	0.10285
Clerides	0.102845
Ikeda	0.102619
Mugabe	0.102158
Majali	0.102103
Yastrzhembsky	0.102077
Singson	0.102028
Gosper	0.101214
Simitis	0.100915
Fordice	0.100785
Zeng	0.100603
"Perez Balladares"	0.100336
Leghari	0.100275
Bhutto	0.100124
Juppe	0.099851
Chirac	0.099761
Mbeki	0.0997559
Grasso	0.0996854
Phieu	0.0996444
"Chavalit Yongchaiyudh"	0.0993216
Rawlings	0.0989804
Kesri	0.0989006
Zedillo	0.0988725
Berisha	0.0982866
Labastida	0.0982256
Khai	0.0981103
Iglesias	0.0980974
Laudrup	0.09804
Moi	0.0979709
Erbakan	0.0978231
Yadav	0.0977196
Sharma	0.0976662
Nateq-Nouri	0.0974359
Satcher	0.097318
Aventajado	0.0966086
Niyazov	0.0966037
D'Alema	0.0965865
Maslyukov	0.0963001
Havelange	0.0962339
Lipponen	0.0962111
Kabariti	0.0961875
Brundtland	0.0961572
Villanueva	0.0961096
Beazley	0.0958716
Camdessus	0.0958413
Wilhelm	0.0958251
Ebersol	0.0955984
McKinnon	0.0954869
Kasoulides	0.0954825
Valenti	0.0953976
Caldera	0.095289
Siazon	0.095275
Gaddafi	0.0948322
Carnahan	0.0948195
Sharansky	0.0948069
Chevenement	0.0946952
Weizman	0.0944251
Peres	0.0942674
Wan	0.0941972
Salim	0.094091
Chretien	0.0940741
Tsang	0.0940242
Scharping	0.0940051
Mendez	0.0938985
Ahtisaari	0.0937448
Yilmaz	0.0937068
Maskhadov	0.0936964
Prodi	0.0935972
Khatami	0.0931718
Isakson	0.093118
Irvan	0.0930811
Rabbani	0.0930143
Gujral	0.0929969
Hiddink	0.0926019
Mandela	0.0923811
Nano	0.0923747
Cianci	0.0922475
Noboa	0.092186
O'Malley	0.0921735
Fagan	0.0920822
Eizenstat	0.0919714
Buzek	0.0919015
Primakov	0.0917525
Shays	0.0917524
"Sepp Blatter"	0.0915492
Karimov	0.0913924
"Dos Santos"	0.0913848
Hybl	0.0913464
Hashimoto	0.0913151
))
("Alen Boksic" (desc 1314.74) (sims
"Hao Haidong"	0.228029
"Adrian Ilie"	0.207403
"Robert Prosinecki"	0.196176
"Faustino Asprilla"	0.195498
"Ivan Zamorano"	0.194107
"Fabrizio Ravanelli"	0.192075
"Alessandro Del Piero"	0.191609
"Thierry Henry"	0.186592
"Harry Kewell"	0.18586
"Mario Stanic"	0.181044
"Gabriel Batistuta"	0.177663
"Ulf Kirsten"	0.175601
"Marcelo Salas"	0.174261
"Davor Suker"	0.173957
"Kenyon Martin"	0.173722
"Dejan Stankovic"	0.169513
"Filippo Inzaghi"	0.168226
"Tore Andre Flo"	0.166948
"Christian Vieri"	0.159783
"Predrag Mijatovic"	0.158604
"Stan Collymore"	0.155153
"Khodadad Azizi"	0.153197
"David Trezeguet"	0.150795
"Sun Wen"	0.148951
"Oliver Bierhoff"	0.146986
"Hernan Crespo"	0.146333
"Christophe Dugarry"	0.145922
"Nwankwo Kanu"	0.144888
"Dejan Savicevic"	0.143711
"Paul Merson"	0.142491
"Carlos Hermosillo"	0.141576
"Ali Daei"	0.141219
"Raul Gonzalez"	0.140469
"Gianfranco Zola"	0.140401
"Ian Wright"	0.140347
"Chris Porter"	0.139712
"Gheorghe Hagi"	0.13868
"Jarvis Turner"	0.138363
"Paolo Di Canio"	0.137838
"Robert Jarni"	0.137372
"Brian McBride"	0.136807
"Ante Razov"	0.135798
"George Weah"	0.134564
Juninho	0.134381
"Pierluigi Casiraghi"	0.134058
Bebeto	0.133631
"Hu Weidong"	0.132754
"Cindy Parlow"	0.132188
"Roy Lassiter"	0.131049
"Brian Laudrup"	0.129583
"Eric Wynalda"	0.128995
"Dennis Bergkamp"	0.127671
"Wang Tao"	0.126141
"Gianluca Vialli"	0.12547
"Roberto Baggio"	0.124017
"Hristo Stoichkov"	0.1238
"Cobi Jones"	0.122593
"Luis Hernandez"	0.122542
"Robbie Fowler"	0.122401
Edmundo	0.121342
"Stern John"	0.121081
"Jumaine Jones"	0.119288
Romario	0.118984
"Hidetoshi Nakata"	0.118613
"Dwight Yorke"	0.118027
"Juergen Klinsmann"	0.117732
"Michael Owen"	0.117377
"Raul Diaz Arce"	0.116443
"Sam Clancy"	0.116118
"Greg Adams"	0.113526
"Zinedine Zidane"	0.112187
"Claudio Lopez"	0.111817
"Patrick Kluivert"	0.111385
"Teddy Sheringham"	0.110708
"Michelle Akers"	0.110058
"Paul Ince"	0.109512
"Zvonimir Boban"	0.109502
"Mike Miller"	0.107046
"Grant Marshall"	0.106926
"Eric Cantona"	0.106733
"Shannon MacMillan"	0.105139
"DeLisha Milton"	0.103614
"Youri Djorkaeff"	0.103322
"Sean Elliott"	0.101925
"Drazen Ladic"	0.101912
"Enrico Chiesa"	0.101771
Vieri	0.101118
"Alan Shearer"	0.101055
"Marcus Fizer"	0.100931
Suker	0.100398
"Nicolas Anelka"	0.10039
"Luis Figo"	0.100279
"Fan Zhiyi"	0.0995196
"Mia Hamm"	0.0989088
"Tamika Catchings"	0.0983407
Salas	0.0978626
"Ariel Ortega"	0.0978071
"Joe-Max Moore"	0.0977526
"Grant Long"	0.0976558
"Ziggy Palffy"	0.0976304
"Alexei Yashin"	0.0971518
"Richard Jefferson"	0.0966404
"Matt Harpring"	0.0965419
"Rebecca Lobo"	0.0963715
Hwang	0.0962855
"Alan Henderson"	0.0958622
"Blake Sloan"	0.0947461
"Corliss Williamson"	0.0946976
"Antawn Jamison"	0.0936818
"Cedric Ceballos"	0.0935817
"Ron Artest"	0.0929676
"Kirk Muller"	0.0923457
"Anthony Mason"	0.0920165
"Maurice Taylor"	0.0915828
"Peter Forsberg"	0.0912779
"Chris Crawford"	0.0909405
"Morris Peterson"	0.0907487
"Alexei Kovalev"	0.0904269
"Bill Guerin"	0.0901796
"Gabe Muoneke"	0.0900935
"Keith Van Horn"	0.0899255
Rivaldo	0.0898284
"Todd Harvey"	0.0894728
"A.C. Green"	0.0889875
Welton	0.088824
Denilson	0.0884064
"Jamie Langenbrunner"	0.088196
"Ole Gunnar Solskjaer"	0.088114
"Phillip Cocu"	0.0880516
Piero	0.0879835
"Lee Nailon"	0.0878718
"Robert Traylor"	0.087633
"Tiffeny Milbrett"	0.0869592
"Donyell Marshall"	0.0869432
"Jason Kapono"	0.0860908
"ZIGMUND PALFFY"	0.0856706
"Mark Madsen"	0.0853008
"Wally Szczerbiak"	0.0848537
"Paul Pierce"	0.084689
"Jayson Williams"	0.0844637
"Sheryl Swoopes"	0.0843781
"Robert Horry"	0.0842637
"Guy Carbonneau"	0.0839527
"Tom Gugliotta"	0.0837058
"Danny Fortson"	0.0835066
"Jaromir Jagr"	0.0832686
"Kenny Thomas"	0.0832267
Raul	0.0830832
"Emmanuel Petit"	0.0824959
"Theo Fleury"	0.0821284
Al-Jaber	0.0820822
"Raef LaFrentz"	0.0820732
"Kevin Freeman"	0.0819739
"Rick Fox"	0.0815513
"Grant Hill"	0.0814875
"Alexander Mogilny"	0.0809708
"Shawn Marion"	0.0800243
"Joe Smith"	0.0799065
"Kurt Thomas"	0.079355
"Shareef Abdur-Rahim"	0.0791855
"Benoit Hogue"	0.0791612
"Keith Tkachuk"	0.0789826
"Chris Webber"	0.0789808
"Clint Mathis"	0.0784824
"Eric Lindros"	0.0784238
Anelka	0.0783139
"Billy Owens"	0.0782661
Djorkaeff	0.0782444
"Juwan Howard"	0.0776229
"Michael Finley"	0.0774177
"Bryon Russell"	0.0772682
"Theo Ratliff"	0.0772344
"Paul Scholes"	0.0766997
"Samaki Walker"	0.0766055
"Richard Hamilton"	0.0762676
"Sergei Fedorov"	0.0761382
"Rashard Lewis"	0.0761221
"Austin Croshere"	0.076099
"Michael Wright"	0.0756883
"Teemu Selanne"	0.0755687
"Shane Battier"	0.0755288
"Tony Amonte"	0.0755174
"Jamie Feick"	0.0754949
"Sean Farnham"	0.0752749
"Roy Rogers"	0.0751992
"Dirk Nowitzki"	0.0748241
"Sinisa Mihajlovic"	0.0746923
"Othella Harrington"	0.0746666
"Chamique Holdsclaw"	0.0741318
Alfonso	0.0740714
"Marcus Camby"	0.0739436
"Pierre Turgeon"	0.0739007
"Clarence Weatherspoon"	0.0738875
"Mike Keane"	0.0734974
"Rodney Rogers"	0.073025
"Ryan Giggs"	0.0728657
"Jere Lehtinen"	0.0725808
"Brian Scalabrine"	0.0724878
"Antonio Davis"	0.0724583
Zico	0.0723734
))
(Alero (desc 1305.56) (sims
S@@	0.140172
DeVille	0.139214
"compact car"	0.125024
Passat	0.124142
hatchback	0.121652
Camry	0.11886
Coupe	0.115439
"New Beetle"	0.111025
G@@	0.10911
"Palm III"	0.107246
Sedan	0.105772
midsize	0.102166
minivans	0.101979
minivan	0.101871
Maxima	0.10051
Jetta	0.100276
SUV	0.099107
sport-utility	0.093519
"Jeep Grand Cherokee"	0.0924899
"Ford Explorer"	0.0891714
"Chevrolet Blazer"	0.0888886
"Chevrolet Suburban"	0.0884679
"Audi A@"	0.0877053
"station wagon"	0.0868629
"Volkswagen Beetle"	0.0846972
impala	0.0836682
V@@	0.083424
Hummer	0.0819798
Suburbans	0.0801618
"Range Rover"	0.0792642
handheld	0.0784849
iMacs	0.0783803
hardtop	0.0777644
neon	0.0763788
"Palm VII"	0.072884
"sports car"	0.0718538
Prius	0.0713142
visor	0.0706429
Lexus	0.0704871
Walkman	0.0704149
Taurus	0.0700312
"Mac OS"	0.0664603
WINDSTAR	0.0652321
"Parent Trap"	0.0652233
Mustang	0.0649094
"Sydney Olympic"	0.0641044
Powerbook	0.0640279
Firebird	0.0626333
"Pentium III"	0.0624789
Buick	0.0622091
Canty	0.0618225
contour	0.061597
Athlon	0.0612641
Rolls	0.0611461
"Land Cruiser"	0.0610304
"Starr Report"	0.0608242
GT	0.0599476
"Terminal @"	0.0597925
DV	0.0596873
A@@@	0.0596036
videophone	0.0595532
Epogen	0.0593849
"Palm Pilot"	0.0580902
"Ford Focus"	0.0573567
Debby	0.0566764
"Microsoft Windows"	0.056537
"Ford Mustang"	0.0564239
Fiorina	0.0562572
Os	0.0558398
Acura	0.0552479
tundra	0.0548527
"portable computer"	0.0542036
roadster	0.0538413
Humvee	0.0537877
V-@	0.0537609
BMWs	0.0537097
"Hopman Cup"	0.0536132
OED	0.0530025
Thinkpad	0.0526574
Batouty	0.0521243
WordPerfect	0.0517556
"Fantasy Island"	0.0515931
"UNIX operating system"	0.0510863
sonata	0.0509688
Shiva	0.0507915
Celica	0.0506954
"Princess Mononoke"	0.0500662
Celeron	0.0497263
"Ford Expedition"	0.0496976
A@XX	0.04952
two-seater	0.0494755
Oktoberfest	0.0488009
"Star-Spangled Banner"	0.0486625
iBook	0.048181
megaplexes	0.047875
e-BOOKS	0.0476307
PalmPilot	0.0475801
SETI	0.0475032
"Ford Taurus"	0.0473269
Bentley	0.0472458
"artificial heart"	0.0469566
Moby-Dick	0.0468603
"PT Cruiser"	0.0466944
"Home Run Derby"	0.046543
Cadillacs	0.046481
"line of products"	0.046472
"fuel cell"	0.0461911
Porsche	0.0460065
Ronin	0.0459546
Google	0.0455647
Centerfold	0.0455057
"Great Expectations"	0.0453226
T-@@	0.0451286
"computer language"	0.0450493
emachines	0.0449409
Tahoe	0.0449317
"Millennium Dome"	0.0448894
"engagement ring"	0.0446126
spacesuit	0.044123
GO.com	0.0436987
Stratus	0.0436234
Solaris	0.0436103
"exhaust system"	0.0435002
Colosseum	0.0434966
Hindenburg	0.0434887
"Potsdamer Platz"	0.0432905
"Land Rover"	0.0431777
supercomputer	0.0430867
"Pennsylvania Station"	0.0430514
IE	0.0428332
Silverado	0.0427917
thesaurus	0.0425885
headrest	0.0425803
slipcover	0.0425333
"Stockholm Open"	0.042464
Acela	0.0423051
Win@@	0.0422696
"Office @@@@"	0.0422212
V@	0.0421439
Encarta	0.0418803
QVC	0.0417458
nt	0.0417352
subcompact	0.0417146
Taxol	0.041654
Talebi	0.0415442
walk-up	0.0414533
C-@@@J	0.0412578
Dreamcast	0.0410737
motherboards	0.0410253
"Grand Slam Cup"	0.0409218
"Mercedes Benz"	0.0409149
"Outlook Express"	0.0408048
"Mandalay Bay"	0.04079
aurora	0.0405651
Corolla	0.0405224
"GI Joe"	0.0405151
corvette	0.0404984
Quokka	0.0404976
lassie	0.0404596
"Western Athletic Conference"	0.0402578
GPS	0.0401742
Prilosec	0.0400966
"German Open"	0.0400724
"Multimedia Super Corridor"	0.0400432
RealPlayer	0.0400047
))
(alert (desc 50364) (sims
standby	0.123415
lookout	0.109783
warning	0.0919983
vigilance	0.0737616
alarm	0.0706739
advisories	0.0672008
patrol	0.0665598
duty	0.0662526
precaution	0.0657516
preparedness	0.064624
emergency	0.0616023
curfew	0.0601263
"security measures"	0.0583366
alertness	0.0578252
attention	0.0555089
readiness	0.0554648
directive	0.0549873
response	0.0540436
preparation	0.0535805
surveillance	0.053067
security	0.0529466
notice	0.0529279
"contingency plan"	0.0527562
verge	0.0523173
awareness	0.0523085
bulletin	0.050684
threat	0.0499403
activity	0.0495791
reaction	0.0494972
planning	0.0492728
"early warning system"	0.0489598
deterrent	0.0487609
blackout	0.0479898
information	0.0473609
fighting	0.0466067
scare	0.0460015
protection	0.0459354
closure	0.0458271
offensive	0.0456005
probation	0.0455701
Mission	0.0453555
deployment	0.0451543
manhunt	0.0449375
inspection	0.0446255
caution	0.0444485
mobilization	0.0438604
demonstration	0.0438347
signal	0.0437821
"hunger strike"	0.0433999
defensive	0.0433734
update	0.043237
raid	0.0430817
scrutiny	0.0429224
potential	0.0428937
explanation	0.0425272
crackdown	0.042464
buildup	0.0424023
recommendation	0.0423339
responsibility	0.0423173
incident	0.0420349
investigation	0.0418523
capability	0.0416543
disaster	0.0411868
status	0.0410445
"enforcement action"	0.0410101
message	0.040946
panic	0.0407941
deterrence	0.0407444
assessment	0.0406125
sensitivity	0.0406037
notification	0.0406017
fatality	0.0405835
ultimatum	0.0405784
outcry	0.0401859
condemnation	0.0401575
summons	0.0400745
outbreak	0.0400482
evacuation	0.0400414
tremor	0.0400199
))
(alertness (desc 4718.73) (sims
vigilance	0.125452
arousal	0.105092
preparedness	0.0917516
"sexual desire"	0.087316
professionalism	0.086747
proficiency	0.0858819
"heart rate"	0.0845122
tiredness	0.0841539
self-awareness	0.0789666
maneuverability	0.0786002
firmness	0.0784534
readiness	0.0741823
morale	0.074176
competitiveness	0.0732197
competence	0.0721617
self-worth	0.0721565
resilience	0.0717797
endurance	0.0708074
belligerence	0.0707804
homeownership	0.0704582
awareness	0.0701711
responsiveness	0.0700304
"blood sugar"	0.0689238
self-esteem	0.0689135
dexterity	0.0688244
diligence	0.0683592
"reaction time"	0.0681796
decisiveness	0.0679277
effectiveness	0.0664809
"blood pressure"	0.0664456
stamina	0.0663626
well-being	0.0663517
adaptability	0.0662948
cost-effectiveness	0.0653958
Creativity	0.0650616
coordination	0.0648234
mobility	0.0642546
profitability	0.0642485
coherence	0.0641507
eyesight	0.0637496
reliability	0.0635971
comprehension	0.0633755
interoperability	0.063054
aggressiveness	0.0623956
dizziness	0.0620899
literacy	0.0619219
competency	0.0618392
"investor confidence"	0.0617996
"military capability"	0.0612142
vigor	0.0612132
consciousness	0.0603553
fitness	0.0602445
productivity	0.0598926
exertion	0.0598098
"sense of responsibility"	0.0597518
portability	0.0593984
"social status"	0.0588053
flexibility	0.058766
sensitivity	0.0586854
anxiety	0.0586362
fortitude	0.0585767
self-confidence	0.0584884
"security measures"	0.0577909
"standard of living"	0.0575388
decomposition	0.0573567
"body temperature"	0.0572208
"investor interest"	0.0566431
civility	0.0565696
liquidity	0.0563871
Disobedience	0.0563467
susceptibility	0.0557697
libido	0.0554916
"quality of life"	0.0554455
"shareholder value"	0.0554096
metabolism	0.0553758
equilibrium	0.0551709
marketability	0.0551248
solidarity	0.0549308
immaturity	0.0548799
"sense of balance"	0.0545121
cohesion	0.0544587
wariness	0.0543841
"mental ability"	0.0542586
firepower	0.0541846
cleanliness	0.0539888
disorientation	0.0538507
"good will"	0.0536059
accountability	0.0534746
fertility	0.0534636
irritability	0.0532895
transparency	0.053252
mettle	0.052897
self-discipline	0.0528734
toughness	0.0528006
acuity	0.0527947
cohesiveness	0.0527872
tranquility	0.0527499
perseverance	0.0527116
curiosity	0.0522904
potency	0.0521244
attractiveness	0.0520059
"memory loss"	0.0516964
"foot traffic"	0.0516828
objectivity	0.0516059
soundness	0.0515139
monitoring	0.0513612
helplessness	0.0513209
incapacity	0.0511929
salinity	0.0510061
incompetence	0.0506741
maturation	0.0505755
"scientific knowledge"	0.0503456
dynamism	0.0499131
honesty	0.0497718
Openness	0.0496889
calmness	0.0494108
tenacity	0.0493374
"public trust"	0.0492852
friendliness	0.0491181
mobilization	0.0490886
orderliness	0.048734
humility	0.0486924
unreality	0.0485632
lethargy	0.0484194
self-reliance	0.0483912
"mutual understanding"	0.0481819
Exhaustion	0.0479116
agitation	0.0476759
self-absorption	0.0476471
surveillance	0.047554
vitality	0.0473019
inhibition	0.0472453
"sexual activity"	0.0471988
viability	0.0471972
self-respect	0.0471336
"creature comforts"	0.0470417
toxicity	0.047006
utilization	0.0469053
self-sufficiency	0.0468927
teamwork	0.0468616
polarization	0.046699
"consumer demand"	0.0466026
impairment	0.0465568
flux	0.0465275
stimulation	0.0461749
"housing sale"	0.0461381
unanimity	0.046106
risk-taking	0.045931
sincerity	0.0458896
punctuality	0.0458872
"seating capacity"	0.0458781
density	0.0458605
meanderings	0.0458592
enlightenment	0.0457898
freshness	0.0456309
absorption	0.0456234
guile	0.0455041
patriotism	0.0453225
impoverishment	0.0452649
visibility	0.0451326
precaution	0.0451005
fluency	0.0449831
accuracy	0.0449272
accessibility	0.0448603
maturity	0.0446413
hygiene	0.0445657
"safety measure"	0.0444871
absenteeism	0.0443806
shyness	0.0443304
self-consciousness	0.0443143
usability	0.0442932
disquiet	0.0442749
sobriety	0.0442229
acceptability	0.044147
resourcefulness	0.0440853
suitability	0.0440837
interdependence	0.0440642
sophistication	0.0439626
dedication	0.0439085
"production ceiling"	0.0438715
conciliation	0.043798
"sense of smell"	0.0437393
urbanization	0.0437031
"business relation"	0.0436241
mechanization	0.0436236
institutionalization	0.0435145
bravery	0.0435048
seriousness	0.0435013
sportsmanship	0.0434714
usage	0.043439
match-ups	0.0434112
predictability	0.0434042
wattage	0.0433933
weariness	0.0432332
alienation	0.0431822
diversification	0.043125
drunkenness	0.0429474
happiness	0.0429444
HDL	0.0429137
efficacy	0.0428694
))
("Alessandro Del Piero" (desc 5799.26) (sims
"Christian Vieri"	0.274132
"Filippo Inzaghi"	0.261072
"Del Piero"	0.25901
"Roberto Baggio"	0.257084
"Gianfranco Zola"	0.239482
"Fabrizio Ravanelli"	0.218491
"Alen Boksic"	0.191609
"Pierluigi Casiraghi"	0.181184
"Zinedine Zidane"	0.17791
"Enrico Chiesa"	0.176322
"Dino Baggio"	0.173823
"Marcelo Salas"	0.172863
"Gianluca Vialli"	0.171813
"Youri Djorkaeff"	0.167561
"Gabriel Batistuta"	0.1611
"Hao Haidong"	0.161091
"Ivan Zamorano"	0.159424
"Angelo Peruzzi"	0.155068
"George Weah"	0.149464
"Predrag Mijatovic"	0.145224
"Dennis Bergkamp"	0.138368
Romario	0.13092
"Edgar Davids"	0.130477
"David Trezeguet"	0.129989
"Thierry Henry"	0.129651
"Luigi Di Biagio"	0.129187
"Robbie Fowler"	0.129048
Ronaldo	0.128172
"Hernan Crespo"	0.127028
"Brian Laudrup"	0.125938
"Alan Shearer"	0.125103
"Juergen Klinsmann"	0.124999
"Faustino Asprilla"	0.124565
"Ali Daei"	0.124318
"Harry Kewell"	0.124293
Edmundo	0.119675
"Nwankwo Kanu"	0.118948
Piero	0.118479
"Hu Weidong"	0.116997
"Paolo Maldini"	0.114182
"Davor Suker"	0.113375
"Ulf Kirsten"	0.112889
"Hristo Stoichkov"	0.112689
"Hidetoshi Nakata"	0.112607
"Didier Deschamps"	0.111001
"Sun Wen"	0.110048
"Michael Owen"	0.108178
"Raul Gonzalez"	0.108013
"Patrick Kluivert"	0.105783
Vieri	0.105266
"Paolo Di Canio"	0.104795
"Stan Collymore"	0.104126
"Khodadad Azizi"	0.103961
"Claudio Lopez"	0.103858
Baggio	0.103677
"Ian Wright"	0.102893
"Brian McBride"	0.101124
"Emmanuel Petit"	0.100284
"Jarvis Turner"	0.100199
"Eric Wynalda"	0.0986297
"Christophe Dugarry"	0.0974406
"Stern John"	0.0970565
"Tore Andre Flo"	0.0970269
"Adrian Ilie"	0.0967874
"Dejan Savicevic"	0.0940039
Juninho	0.0938502
"Dejan Stankovic"	0.0925282
Zico	0.0911341
"Luis Hernandez"	0.0907796
"Cindy Parlow"	0.0907709
Bebeto	0.0882584
"Shannon MacMillan"	0.0869661
"Ante Razov"	0.0866903
"Gheorghe Hagi"	0.0866641
Rivaldo	0.0859677
"Carlos Hermosillo"	0.085234
"Roy Lassiter"	0.0851369
"Eric Cantona"	0.0846352
"Kenyon Martin"	0.0839248
"Marcel Desailly"	0.0830795
"Raul Diaz Arce"	0.082921
"Mia Hamm"	0.0825614
"Wang Tao"	0.0824904
"Corliss Williamson"	0.0811787
"Michelle Akers"	0.0805539
"Ariel Ortega"	0.0804137
"Fan Zhiyi"	0.0798677
Denilson	0.0798503
"Greg Adams"	0.0796775
"Jumaine Jones"	0.0793991
"Oliver Bierhoff"	0.0792689
Internazionale	0.0791916
"Ole Gunnar Solskjaer"	0.0790605
"Ziggy Palffy"	0.078999
"Alan Henderson"	0.0787256
"Tamika Catchings"	0.077594
"Jamie Langenbrunner"	0.0770772
"Grant Long"	0.0762615
"Gabe Muoneke"	0.076031
"Tyrone Nesby"	0.0750351
Zidane	0.0747792
"Cobi Jones"	0.0747436
"Othella Harrington"	0.074601
"Raef LaFrentz"	0.0744782
"Sam Clancy"	0.0743532
"Nicolas Anelka"	0.0742858
"Alexei Yashin"	0.0740692
"Phillip Cocu"	0.0739598
"Peter Forsberg"	0.073893
"Keith Tkachuk"	0.0734231
"Sheryl Swoopes"	0.0731116
"Chris Porter"	0.0728686
"Juwan Howard"	0.072647
"Paul Merson"	0.0722896
striker	0.0721421
"Cedric Ceballos"	0.0718132
"David Beckham"	0.0716703
"Blake Sloan"	0.0715492
Torino	0.0714333
"Donyell Marshall"	0.0711686
"Richard Jefferson"	0.0705892
"Michel Platini"	0.0703098
"Christian Karembeu"	0.0699357
Asprilla	0.0698361
"Joe Sakic"	0.0697267
"Francesco Casagrande"	0.0695798
"Gianluca Pagliuca"	0.069084
"Kevin Freeman"	0.069017
"Patrick Vieira"	0.0688718
"Teddy Sheringham"	0.0688278
Anelka	0.0687333
"Ron Artest"	0.0686959
"Eric Lindros"	0.0685079
"Sinisa Mihajlovic"	0.068504
"Deborah Compagnoni"	0.0683494
"Brian Scalabrine"	0.0678938
Batistuta	0.0678311
"Luc Robitaille"	0.0678295
"Max Biaggi"	0.0676132
"Grant Hill"	0.0675726
Djorkaeff	0.0672237
"Chris Drury"	0.0668935
"Michael Finley"	0.0668071
"Dwight Yorke"	0.0668013
"Ruud Gullit"	0.0667386
"Grant Marshall"	0.0666458
"Pierre Turgeon"	0.0662109
"Rebecca Lobo"	0.0661923
"Steve McManaman"	0.0661114
"Alexei Kovalev"	0.0660809
Suker	0.0660324
"Aaron Williams"	0.0657639
Salas	0.0656997
"Sean Elliott"	0.0656304
"Mike Keane"	0.0651638
"Jerome Kersey"	0.064991
"Shawn Marion"	0.064699
"Mark Madsen"	0.0646632
"Mario Cipollini"	0.0645995
"Tim Thomas"	0.064575
"Tiffeny Milbrett"	0.0644545
Gaudenzi	0.0644358
"Theo Fleury"	0.0643246
"Paul Kariya"	0.0642754
"Todd Harvey"	0.0641692
"Sergei Fedorov"	0.0641574
"Jayson Williams"	0.0638157
"Robert Prosinecki"	0.0636693
"Anson Carter"	0.0636629
"Lamond Murray"	0.0633701
"Jamal Lewis"	0.063227
"Alberto Tomba"	0.0631197
"Roy Keane"	0.063076
"Kenny Thomas"	0.0630112
"Michael Wright"	0.0627928
"Patrick Ewing"	0.0627063
"Vin Baker"	0.0624158
"Andy Cole"	0.0622525
"Mario Stanic"	0.0622065
"Chris Carrawell"	0.0621693
"Tom Gugliotta"	0.062138
"Maurice Taylor"	0.0621236
"Keith Van Horn"	0.0620756
"Stephane Fiset"	0.0620542
"Jere Lehtinen"	0.0619053
"Antawn Jamison"	0.0618177
"Roberto Carlos"	0.0616941
"Thomas Haessler"	0.0614524
"Marcus Fizer"	0.0609433
"Matt Harpring"	0.0609063
"Robert Traylor"	0.0608253
"Kurt Thomas"	0.0608064
"Renzo Furlan"	0.060706
"Anthony Mason"	0.0606696
"Bryon Russell"	0.0606634
"Shane Battier"	0.060652
"Paul Gascoigne"	0.0605121
"Dale Davis"	0.0604852
"Rodney Rogers"	0.0604484
Welton	0.0603161
))
(Alex (desc 16782.3) (sims
Michael	0.102416
Danny	0.0999261
Tim	0.0995824
Brian	0.0988003
Dennis	0.098665
Chris	0.0985841
Matthew	0.0973808
David	0.0953005
Peter	0.0951398
Jason	0.0950645
Paul	0.0944532
Larry	0.0937906
Kevin	0.0927009
John	0.0920647
Steve	0.0914933
tom	0.090755
Steven	0.0897105
Robert	0.0889731
Eric	0.0880111
Kyle	0.0879879
Jeff	0.0876662
Sarah	0.0860161
Kenny	0.0860044
Joshua	0.0856227
Anthony	0.0853771
Nicole	0.0850892
Greg	0.0850379
Stephanie	0.084659
Josh	0.0845395
Carl	0.0844786
Linda	0.0844689
Ben	0.0842155
Daniel	0.0840904
Jamie	0.0836938
Justin	0.0832649
Adam	0.0831093
Jerry	0.0821088
Jonathan	0.0816756
Jim	0.0816706
mike	0.0809973
Richard	0.0804777
Jennifer	0.0794212
Christopher	0.0793151
Jake	0.0788895
matt	0.0783962
Andrew	0.0783132
A-Rod	0.0780858
Katie	0.0778328
Phil	0.0775847
Randy	0.0775141
Jeremy	0.0771976
Barbara	0.0768303
Todd	0.0765069
Nathan	0.0761387
Joe	0.0760156
Rick	0.0757654
Vicki	0.0756974
Gary	0.0756767
Patrick	0.0754125
Johnny	0.0749152
William	0.0748639
Ronald	0.0744033
Evan	0.0742568
Gerald	0.0738385
Charles	0.0735921
Philip	0.073479
Colin	0.0731154
Jackie	0.072728
Harry	0.0724059
Andrei	0.0722591
Jacob	0.0718777
Rebecca	0.0714733
Robbie	0.0713198
Dan	0.0712277
Nicholas	0.0711978
Alan	0.0710482
Samuel	0.0709295
Jeb	0.0708952
Stephen	0.0707605
Joey	0.0706785
Shawn	0.0705666
Bobby	0.0705143
Casey	0.070227
Craig	0.0701365
Terry	0.0696266
George	0.0696117
Thomas	0.0696077
nick	0.0695951
Jessica	0.0692502
Dylan	0.0692324
Cameron	0.0692283
Sean	0.0689013
Aaron	0.0681828
Jimmy	0.06813
Hannah	0.0680569
Brandon	0.0678599
Adrian	0.0675795
Sasha	0.067479
Tony	0.0674637
jay	0.0674116
Keith	0.067395
Charlie	0.0672862
Derek	0.0671507
Maurice	0.0670694
Karen	0.0670387
James	0.066987
Juan	0.0669611
Ramon	0.066809
Eddie	0.0666399
Gabriel	0.0665443
Natalie	0.0664553
Julie	0.0661958
Debbie	0.0661072
Ken	0.0659204
"George W."	0.0657397
Samantha	0.0656666
Walter	0.0656097
Marc	0.0655251
Zachary	0.0654695
Dominique	0.0649242
Gerard	0.0647196
Ryan	0.0647133
Drew	0.0646675
Roger	0.0645998
Emily	0.0645066
Martina	0.0644162
Donald	0.0642714
Pete	0.0641959
Barry	0.0640731
BOB	0.0639879
Scott	0.0637792
Bruce	0.0636032
jack	0.063588
Frankie	0.0634995
Michelle	0.063363
Gabe	0.0632864
Kathleen	0.0630689
Reggie	0.0630029
Julia	0.0629579
grandson	0.0629537
Rusty	0.0629076
Jose	0.0629011
Bonnie	0.0626134
Marty	0.0623431
Marvin	0.062318
Jeffrey	0.0621959
Julian	0.0620101
Sam	0.0619137
"John Jr."	0.0616463
Tommy	0.0615251
Ted	0.0614762
Ashley	0.0613539
Neil	0.0613084
Andre	0.0611043
Sally	0.0610616
dale	0.0610274
Joel	0.0609707
Jessie	0.0609219
Edward	0.0608252
Wyatt	0.0607918
Owen	0.0606631
timothy	0.0606253
Luis	0.0605968
sandy	0.0605851
Patricia	0.0604903
Rachel	0.0604895
Edgar	0.0603501
Arthur	0.0602895
Marcus	0.0602604
Bryan	0.0601434
Scottie	0.0600941
Albert	0.0600496
Karl	0.0600166
Ivan	0.0599382
Kate	0.0597103
Frank	0.0596174
Isaac	0.0596098
Dave	0.059545
Cody	0.0595301
Leslie	0.0593416
Alexander	0.0593201
Lauren	0.0591428
Byron	0.0591167
Laura	0.059087
Burke	0.0590664
Steffi	0.0589568
daughter	0.0589134
Andy	0.0588537
Glenn	0.0586459
Ralph	0.0586289
Travis	0.0585937
Jenna	0.0584065
Laurie	0.0583827
anna	0.0582812
Judy	0.0582597
Alexandra	0.0581666
Henry	0.0580895
Robin	0.058025
Brooke	0.0579268
Mary	0.0578839
))
("Alex Cora" (desc 2827.69) (sims
"Jose Vizcaino"	0.258815
"Wilton Guerrero"	0.251359
"Juan Castro"	0.237179
"Kevin Elster"	0.232585
"Adrian Beltre"	0.230448
"Angel Pena"	0.229863
"Mark Grudzielanek"	0.209521
"Russ Johnson"	0.206292
"Damian Jackson"	0.197084
"Dave Hansen"	0.192196
"Pat Meares"	0.184346
"Craig Counsell"	0.179014
"Andy Sheets"	0.178339
"Mark Loretta"	0.178228
"Devon White"	0.176823
"Jose Valentin"	0.174301
"Rafael Furcal"	0.171002
"F.P Santangelo"	0.170431
"Manny Alexander"	0.170357
"Eric Young"	0.168819
"Desi Relaford"	0.167829
"Jamie Arnold"	0.167043
"Jose Hernandez"	0.163544
"Bill Spiers"	0.163367
"Randy Velarde"	0.162706
"Chris Gomez"	0.160519
"Carlos Guillen"	0.158047
"Trenidad Hubbard"	0.157979
"Ozzie Guillen"	0.15691
"Adam Kennedy"	0.155178
"Kurt Abbott"	0.152657
"Cristian Guzman"	0.152269
"Walt Weiss"	0.15191
"Melvin Mora"	0.150911
"Tim Bogar"	0.149947
"Andy Fox"	0.149484
"Paul Konerko"	0.146534
"Joe Randa"	0.146475
"Raul Mondesi"	0.145781
"Luis Lopez"	0.144811
"CARLOS HERNANDEZ"	0.144217
"Jeff Huson"	0.143043
"Herbert Perry"	0.142099
"Donnie Sadler"	0.141967
"Brian Hunter"	0.139042
"Kevin Stocker"	0.137627
"Warren Morris"	0.137034
"Eric Gagne"	0.136612
"Benji Gil"	0.136507
"Tony Batista"	0.136382
"Clay Bellinger"	0.135906
"Matt Luke"	0.134798
"Kevin Jordan"	0.134457
"Mike Caruso"	0.133268
"Todd Hundley"	0.133001
"Ricky Gutierrez"	0.132383
"Jay Bell"	0.131857
"Daryle Ward"	0.131731
"Mike Benjamin"	0.13111
"Ray Durham"	0.130694
"Mike Judd"	0.13066
"Omar Vizquel"	0.12882
"Alfonso Soriano"	0.128639
"Wilton Veras"	0.128157
"Chad Kreuter"	0.126555
"Mark Kotsay"	0.126363
"Craig Paquette"	0.12635
"Luis Alicea"	0.126291
Vidro	0.125762
"Eric Karros"	0.125448
"Enrique Wilson"	0.124433
"Edgar Renteria"	0.123795
"Todd Hollandsworth"	0.123694
"Shawon Dunston"	0.123688
"Matt Herges"	0.12333
Hollandsworth	0.120971
"Tony Womack"	0.12049
"Luis Castillo"	0.120118
"Kevin Orie"	0.119494
"Geoff Jenkins"	0.119388
"Joe McEwing"	0.118396
"Jose Offerman"	0.118353
"David Bell"	0.118055
"Royce Clayton"	0.117726
"Quilvio Veras"	0.117398
"Ruben Rivera"	0.116067
"Neifi Perez"	0.116049
Merloni	0.115638
"Luis Sojo"	0.115582
"Alex Gonzalez"	0.115581
"Deivi Cruz"	0.115461
"Frank Catalanotto"	0.115329
"Bengie Molina"	0.115158
"Rey Ordonez"	0.114793
"Mark McLemore"	0.114508
"Carlos Perez"	0.114367
"Paul LoDuca"	0.113255
"Miguel Tejada"	0.112682
Randa	0.112392
"John Vander Wal"	0.111465
"Troy Glaus"	0.110963
"Ron Coomer"	0.110908
"Terrence Long"	0.110743
"Matt Franco"	0.110486
"Shawn Green"	0.110307
"Carlos Lee"	0.108527
"Pokey Reese"	0.108189
"Homer Bush"	0.108092
"Carlos Febles"	0.108092
"Todd Walker"	0.107995
"Ramon Martinez"	0.107881
"Mike Bordick"	0.107737
Beltre	0.107717
Spiers	0.107444
"Fernando Tatis"	0.106648
"Russ Davis"	0.106315
"Lou Merloni"	0.106031
Grudzielanek	0.105491
"John Valentin"	0.105405
"Charlie Hayes"	0.105302
"Jeff Frye"	0.105093
"Karim Garcia"	0.105074
"Mike Lansing"	0.104754
"Damion Easley"	0.103822
Alicea	0.103635
"Bobby Bonilla"	0.103578
"Keith Lockhart"	0.103552
"Doug Glanville"	0.103427
Renteria	0.10338
"Pat Burrell"	0.103161
"Bill Mueller"	0.103112
"Fernando Vina"	0.102145
"Mike Lamb"	0.102123
"Scott Spiezio"	0.101647
"Rey Sanchez"	0.101257
"Onan Masaoka"	0.100608
"Bobby Smith"	0.100426
"Mark Grace"	0.100117
Valentin	0.100112
"Glenn Hoffman"	0.100033
Vizcaino	0.0998612
"Roger Cedeno"	0.0998244
"Mickey Morandini"	0.0996497
"Brian Daubach"	0.0995307
Bautista	0.0995258
"Miguel Cairo"	0.0995014
"Erubiel Durazo"	0.0993135
"Darren Dreifort"	0.0989691
"Jose Guillen"	0.098829
"Bruce Aven"	0.0976739
Rolen	0.0973228
"Chan Ho Park"	0.0972482
"Gary Sheffield"	0.0962806
"Jin Ho Cho"	0.0962161
"Barry Larkin"	0.0959885
"Ricky Ledee"	0.095955
"Mike Lowell"	0.0957095
"Delino DeShields"	0.0955983
"Eric Chavez"	0.0955657
"Carlos Beltran"	0.0952903
Abreu	0.0952824
"Jeff Cirillo"	0.0944872
"Derrek Lee"	0.0944134
"Lenny Harris"	0.0937389
"Mitch Meluskey"	0.0936013
"Tony Graffanino"	0.0927469
"J.D Drew"	0.0920217
"Ryan Glynn"	0.0916881
Tejada	0.0916634
"Roberto Alomar"	0.0915521
"Scott Rolen"	0.0914999
"Vladimir Guerrero"	0.091431
"Rich Aurilia"	0.0913454
"Randall Simon"	0.0913353
Karros	0.0910636
"Robinson Checo"	0.0906205
"Antonio Osuna"	0.090438
"Jeff Conine"	0.08972
Burnitz	0.0895846
"Dmitri Young"	0.0893727
"Rich Becker"	0.0892523
"Sandy Alomar"	0.0892293
"Chuck Knoblauch"	0.0891934
"Matt Lawton"	0.0888843
"Johnny Damon"	0.0886453
"Ed Yarnall"	0.0883535
Velarde	0.0882354
"Brett Hinchliffe"	0.0882308
"Eric Owens"	0.0881145
"Shane Andrews"	0.087776
"Peter Bergeron"	0.0868628
"Paul Bako"	0.0866174
"Tom Goodwin"	0.0864899
"John Mabry"	0.086319
"Kelly Stinnett"	0.0861659
"Chris Widger"	0.0859165
"Richard Hidalgo"	0.0856205
"Matt Williams"	0.0854697
"Corey Koskie"	0.084881
"J.T Snow"	0.0847218
))
("Alex Corretja" (desc 10423.2) (sims
"Felix Mantilla"	0.440121
"Albert Costa"	0.424026
"Alberto Berasategui"	0.409116
"Carlos Moya"	0.397281
"Francisco Clavet"	0.386791
"Thomas Enqvist"	0.378927
"Goran Ivanisevic"	0.363524
"Yevgeny Kafelnikov"	0.362302
"Tim Henman"	0.361423
"Gustavo Kuerten"	0.360687
"Greg Rusedski"	0.35756
"Sergi Bruguera"	0.355505
"Marcelo Rios"	0.355431
"Conchita Martinez"	0.340666
"Richard Krajicek"	0.340388
"Arantxa Sanchez-Vicario"	0.337678
"Patrick Rafter"	0.337104
"Arantxa Sanchez Vicario"	0.33025
"Jonas Bjorkman"	0.322379
"Mark Philippoussis"	0.322274
"Karol Kucera"	0.315363
"Cedric Pioline"	0.310363
"Thomas Muster"	0.309231
"Michael Chang"	0.309111
"Tommy Haas"	0.308899
"Petr Korda"	0.305709
"Juan Carlos Ferrero"	0.304523
"Mary Pierce"	0.303551
"Anke Huber"	0.302734
"Magnus Norman"	0.29809
"Nathalie Tauziat"	0.295632
"Carlos Costa"	0.295022
"Alberto Costa"	0.292443
"Jason Stoltenberg"	0.286019
"Todd Martin"	0.285931
"Marat Safin"	0.284495
"Thomas Johansson"	0.283309
"Iva Majoli"	0.283276
"Andrei Medvedev"	0.281139
"Andre Agassi"	0.278339
"Marc Rosset"	0.277328
"Wayne Ferreira"	0.275099
"Amanda Coetzer"	0.275003
"Magnus Gustafsson"	0.267823
"Albert Portas"	0.264742
"Russian Yevgeny Kafelnikov"	0.264454
"Sandrine Testud"	0.260899
"Boris Becker"	0.25603
"Dominique Van Roost"	0.255882
"Irina Spirlea"	0.249914
"Monica Seles"	0.249859
Siemerink	0.249233
"Patty Schnyder"	0.249205
"Pete Sampras"	0.248139
"Jana Novotna"	0.246669
"Lindsay Davenport"	0.246628
"Nicolas Lapentti"	0.243366
"Julie Halard-Decugis"	0.243083
"Byron Black"	0.24268
"Javier Sanchez"	0.242377
"Dominik Hrbaty"	0.241179
"Galo Blanco"	0.240801
"Pat Rafter"	0.238024
"Barbara Paulus"	0.233912
"Julian Alonso"	0.232907
"Jim Courier"	0.232777
"Mariano Puerta"	0.232437
"Fabrice Santoro"	0.231007
"MaliVai Washington"	0.23074
"Magdalena Maleeva"	0.230581
"Venus Williams"	0.230362
"Mark Woodforde"	0.229343
"Hicham Arazi"	0.228794
Corretja	0.227753
"Amelie Mauresmo"	0.227533
Moya	0.225856
"Ai Sugiyama"	0.225329
"American Chanda Rubin"	0.22529
"Chanda Rubin"	0.22527
"Nicolas Kiefer"	0.224545
"Barbara Schett"	0.224058
"Todd Woodbridge"	0.223549
"Elena Likhovtseva"	0.223351
"American Andre Agassi"	0.222193
"Kenneth Carlsen"	0.222121
"Magui Serna"	0.219619
"American Todd Martin"	0.218149
"Natasha Zvereva"	0.217639
"Richard Fromberg"	0.215918
"Steffi Graf"	0.215562
"Serena Williams"	0.21463
"Nicolas Escude"	0.21398
"Ruxandra Dragomir"	0.213922
"American Michael Chang"	0.213493
"Martina Hingis"	0.212633
Kafelnikov	0.209775
"Silvia Farina"	0.209446
"Jan-Michael Gambill"	0.208329
"Karim Alami"	0.206076
"Leander Paes"	0.204456
"Sabine Appelmans"	0.203462
"Judith Wiesner"	0.20296
"Paul Haarhuis"	0.20254
"Naoko Sawamatsu"	0.202213
"Magnus Larsson"	0.198394
"Scott Draper"	0.198292
"Younes El Aynaoui"	0.197245
"Fernando Meligeni"	0.197201
"South African Amanda Coetzer"	0.196602
"American Lindsay Davenport"	0.196224
"Amy Frazier"	0.196049
"Filip Dewulf"	0.195237
"Sargis Sargsian"	0.195079
"Andrea Gaudenzi"	0.19482
"Mariano Zabaleta"	0.19359
"Peter Nicol"	0.193227
"Gong Zhichao"	0.192939
"Nathalie Dechy"	0.192901
"Li Fang"	0.192665
"Davide Sanguinetti"	0.191572
"Tamarine Tanasugarn"	0.191524
"Arnaud Clement"	0.191177
"Guillaume Raoux"	0.191128
"Lisa Raymond"	0.190625
"Sjeng Schalken"	0.190169
"Brenda Schultz-McCarthy"	0.18947
"Michael Stich"	0.188879
Rusedski	0.188733
"Mary Joe Fernandez"	0.187513
"Anna Kournikova"	0.186038
"Hernan Gumy"	0.184892
"Sebastien Grosjean"	0.184802
"Chris Woodruff"	0.183863
"Yayuk Basuki"	0.183394
"Grant Stafford"	0.183031
"Lleyton Hewitt"	0.182777
"David Prinosil"	0.182123
"Brett Steven"	0.181712
"Juan Antonio Marin"	0.18083
Kuerten	0.179598
Enqvist	0.178153
"Jeff Tarango"	0.177679
"Jerome Golmard"	0.177141
"Renzo Furlan"	0.176963
Mantilla	0.176811
"Richey Reneberg"	0.175686
"Kimiko Date"	0.175635
"Sarah Pitkowski"	0.175631
"Mikael Tillstrom"	0.175052
"Franco Squillari"	0.173992
rios	0.173932
"Andrew Ilie"	0.173463
Agassi	0.173316
"Anne-Gaelle Sidot"	0.173313
"Australian Mark Philippoussis"	0.173305
"Alex O'Brien"	0.173019
"Jennifer Capriati"	0.172433
"Stefan Edberg"	0.171088
"Arnaud Boetsch"	0.170365
"Rodney Eyles"	0.170028
Bjorkman	0.168771
"Vincent Spadea"	0.16817
"Rainer Schuttler"	0.167829
Henman	0.167495
"Andrei Pavel"	0.167158
"Gianluca Pozzi"	0.166022
"Camilla Martin"	0.165283
Seles	0.165057
"Ramon Delgado"	0.163788
"Wayne Black"	0.162675
Pioline	0.162104
"Sanchez Vicario"	0.161175
"American Pete Sampras"	0.161097
"Joannette Kruger"	0.160534
"Andres Gomez"	0.159275
"Elena Dementieva"	0.158834
"Daniel Nestor"	0.1581
"Roger Federer"	0.157255
"Florencia Labat"	0.157036
"Arnaud Di Pasquale"	0.157029
Ivanisevic	0.156735
"Ye Zhaoying"	0.156233
Sanchez-Vicario	0.156022
"Adrian Voinea"	0.153855
Stoltenberg	0.153564
"Christian Ruud"	0.152676
"Mark Knowles"	0.152572
"Abraham Olano"	0.152185
"Tatiana Panova"	0.152111
"Karina Habsudova"	0.150537
"Peter Gade Christensen"	0.150441
"Briton Greg Rusedski"	0.150005
"Slava Dosedel"	0.148838
"Daniel Vacek"	0.148524
"Cara Black"	0.148171
Majoli	0.146161
"Ong Ewe Hock"	0.14609
Novotna	0.14522
"Martin Damm"	0.144834
Hingis	0.14452
Bruguera	0.143958
"Bohdan Ulihrach"	0.142033
"Anne Kremer"	0.141781
"Tara Snyder"	0.141522
Clavet	0.140711
"Xavier Malisse"	0.140409
"Olga Barabanschikova"	0.140172
Krajicek	0.140124
Philippoussis	0.139676
"Marcelo Filippini"	0.139404
"Heryanto Arbi"	0.139113
"Wang Liqin"	0.138469
"Zhang Ning"	0.138308
Hendrawan	0.13811
"Michael Tebbutt"	0.138044
"Kong Linghui"	0.137883
Davenport	0.137203
"Asa Carlsson"	0.136819
"Andreas Vinciguerra"	0.135591
"Nicklas Kulti"	0.135553
"Miriam Oremans"	0.134533
"Jelena Dokic"	0.134043
"Jansher Khan"	0.133938
"Henrieta Nagyova"	0.133772
"Kimberly Po"	0.13367
"Mahesh Bhupathi"	0.133638
Rafter	0.133623
Safin	0.133058
"Corina Morariu"	0.132829
"Liu Guoliang"	0.132748
Tauziat	0.132675
Halard-Decugis	0.132563
"Marcos Ondruska"	0.131989
"Wang Nan"	0.131833
"Fernando Escartin"	0.131336
Kucera	0.130876
Sampras	0.130744
Dragomir	0.130566
"Rita Grande"	0.129738
"Neville Godwin"	0.129677
Coetzer	0.129255
Kournikova	0.128961
"Taufik Hidayat"	0.128765
"Joko Suprianto"	0.128703
"Wang Chen"	0.128355
"Jonathan Stark"	0.128198
"Els Callens"	0.127286
"Paola Suarez"	0.125995
"Justin Gimelstob"	0.125933
"Nicole Pratt"	0.124633
"Alexandra Fusai"	0.124601
"Steve Campbell"	0.124498
"Sebastien Lareau"	0.123609
Dosedel	0.123414
"Jan-Ove Waldner"	0.122745
"Jiri Novak"	0.122546
"Jacco Eltingh"	0.122335
"Peter Rasmussen"	0.121913
"Li Ju"	0.121776
"Dai Yun"	0.121752
"Kristie Boogert"	0.12104
Kroslak	0.120236
Chang	0.120027
"Mia Audina"	0.11985
Rosset	0.119836
"Fung Permadi"	0.119813
"Vladimir Samsonov"	0.119275
"Xia Xuanze"	0.118844
Testud	0.11811
"Miguel Indurain"	0.117994
Berasategui	0.117892
"Jorgen Persson"	0.117556
Sugiyama	0.116698
"Dong Jiong"	0.116554
"Catalina Cristea"	0.115785
"Mirjana Lucic"	0.115201
Gustafsson	0.114796
Kiefer	0.114526
"Max Mirnyi"	0.114124
Korda	0.113843
Muster	0.113815
Capriati	0.112619
"Vince Spadea"	0.110025
"Guy Forget"	0.109676
Huber	0.10908
Zvereva	0.108145
"Kim Clijsters"	0.107755
"John Van Lottum"	0.106415
"Jimmy Connors"	0.106242
Waldner	0.106155
Spadea	0.105578
Serena	0.105121
"Wayne Arthurs"	0.104989
Costa	0.104793
"Barbara Rittner"	0.104257
Susanti	0.103846
Ferreira	0.103751
"Van Roost"	0.103704
"Yang Ying"	0.103391
"seeded player"	0.103344
Mauresmo	0.102899
"John McEnroe"	0.102402
"Carlos Sainz"	0.102226
"Ge Fei"	0.101711
Palmeiras	0.100315
))
("Alex Ferguson" (desc 1490.59) (sims
"Kevin Keegan"	0.301908
"Glenn Hoddle"	0.218877
"Gianluca Vialli"	0.176852
"Ruud Gullit"	0.170546
"Bobby Charlton"	0.139509
"Roy Keane"	0.131467
"Bernie Ecclestone"	0.131068
"Peter Schmeichel"	0.119357
Yorke	0.116789
Scholes	0.114895
"Harry Sinden"	0.112048
"Glen Sather"	0.109125
"Terry Collins"	0.10537
Jacquet	0.0997301
"Ronnie Flanagan"	0.0952942
Rongen	0.0939579
Keegan	0.0893072
Tuberville	0.0876906
Collymore	0.0872006
"Eric Cantona"	0.0870347
Gullit	0.086987
Ganassi	0.0860778
"John Gielgud"	0.0854961
"John Browne"	0.0845256
"Mike Hargrove"	0.0837786
"Jeremy Greenstock"	0.0827251
"Mark Bosnich"	0.0822961
"Buck Showalter"	0.080895
"Tony La Russa"	0.0800289
Vialli	0.0790359
"Mike Scioscia"	0.0780938
"Tom Kelly"	0.0766579
DiCicco	0.0766564
"Bruce Teitelbaum"	0.0761252
"Larry Dierker"	0.076114
Hoddle	0.0758405
Gangelhoff	0.0753994
"Don Nelson"	0.0745527
Ruggiero	0.0741374
"Edmund Hillary"	0.0739077
Ferguson	0.0738988
"David Beckham"	0.0735934
"Jerry Colangelo"	0.0734086
"Tom Lasorda"	0.0733987
"Glenn Hoffman"	0.0732268
"Dusty Baker"	0.073093
Fenerbahce	0.072904
"Dwight Yorke"	0.0724924
Beckham	0.0716825
"Bobby Valentine"	0.0712496
Wenger	0.0710162
"Johnny Oates"	0.0710062
"Ketumile Masire"	0.0702858
Rodionov	0.0697264
"Coventry City"	0.0696912
"Jim Leyland"	0.069654
"Felipe Alou"	0.0693187
"Tom Presthus"	0.0689512
"George Steinbrenner"	0.0679623
Ribbeck	0.0672089
Tomjanovich	0.067033
"Andy Cole"	0.0667292
"Gianni Agnelli"	0.0662295
"Davey Lopes"	0.0660897
Alarcon	0.0659444
Sherrill	0.0655355
"Sepp Blatter"	0.0653788
"Kevin McHale"	0.0652161
Colangelo	0.0643932
Hiddink	0.064152
"Tommy Lasorda"	0.064129
"Don Baylor"	0.0638728
Naumann	0.0638155
Elton	0.0636384
Pustovoitenko	0.0635149
"Tony Coelho"	0.063406
"Shelly Finkel"	0.0633266
Piot	0.0632261
Dungy	0.06315
McMullen	0.063062
Gayle	0.0622535
"Teddy Sheringham"	0.0620129
"Richard Branson"	0.0615573
"Don Zimmer"	0.0613627
Alec	0.0612929
"Billy Payne"	0.0607587
Colin	0.059722
Nkomo	0.0590646
"Jeff Agoos"	0.0587451
Laudrup	0.0587058
Imelda	0.0586464
"Pat Riley"	0.0581225
"George Speight"	0.0579933
Aideed	0.0579121
"Leon Brittan"	0.0573487
"Brian Laudrup"	0.0571064
Passarella	0.0570721
Modell	0.0569728
"Laurence Olivier"	0.0568457
Tarawneh	0.0567664
"James Rogan"	0.0565107
"Lou Piniella"	0.0563789
"Breda Kolff"	0.0561112
"Ryan Giggs"	0.0558995
INC	0.0558308
beamer	0.0556525
Lawler	0.0556279
Troussier	0.0550851
"Paolo Di Canio"	0.0546694
Demaci	0.0545837
"Mike Jackson"	0.0544103
"Boutros Boutros Ghali"	0.0542502
"Billy Martin"	0.0542222
"Hussein Aidid"	0.0540798
Bertelli	0.0538748
Bavasi	0.0537236
"Tim Johnson"	0.0537007
Zola	0.0533631
"Bobby Cox"	0.0533448
Donald	0.0529904
Skiles	0.0527663
Zambrano	0.0526288
Garang	0.0520581
Sparky	0.0519851
"De Klerk"	0.0519042
"Frank Stronach"	0.051888
Tendulkar	0.0518449
"Leicester City"	0.0518183
"Paul Scholes"	0.0517951
"Paul McCartney"	0.0517447
Talebi	0.051656
Ruehe	0.0516264
Mavs	0.0515523
Fulham	0.0514159
Hitchens	0.0512468
Geiger	0.0511827
"Bill King"	0.0511372
Cooley	0.0510974
"Ed Bryant"	0.0510597
"Yossi Sarid"	0.0506374
"Mike Krzyzewski"	0.050502
Wasserstein	0.0504549
Habib	0.0504326
Houghton	0.0503752
Venables	0.050079
"New York Yacht Club"	0.0500529
"Dave Campo"	0.0499782
Klestil	0.0499564
Cowens	0.0499496
Weah	0.0498951
Indyk	0.0498007
Molinari	0.0497114
Vogts	0.0495811
Laney	0.0493914
Bulatovic	0.0491779
Ruelas	0.0490683
Megret	0.0489546
Jovanovic	0.0488069
"June Jones"	0.0487637
Slaney	0.0487106
"Gary Neville"	0.048661
Bassett	0.0485113
Garber	0.0482451
Solis	0.0480701
"Bradford City"	0.0480025
"Carmen Policy"	0.0476495
Rosales	0.0475112
Gregory	0.047429
"West Ham United"	0.0473493
Aidid	0.0471055
Esposito	0.0470963
"Jeffrey Katzenberg"	0.047081
Conner	0.0470741
Schmid	0.0469253
Walesa	0.0466728
Musa	0.046529
Fyodorov	0.0465109
Zadornov	0.0464837
Gantamirov	0.0464098
Costner	0.0463929
Symons	0.0463698
Coffey	0.0459813
Shula	0.0457128
Thibault	0.0456967
Meguid	0.0453205
Raitt	0.0452958
Martorano	0.0451752
Rahal	0.0451672
"Steve Jobs"	0.0451049
Lepage	0.0450095
Jeremy	0.0449552
"ticket agent"	0.0449533
"Cindy McCain"	0.0449213
Insulza	0.0447199
"Adem Demaci"	0.0446991
Mustafa	0.0445785
Soto	0.0444675
Sanderson	0.0443847
Seselj	0.0443777
Smitherman	0.0443726
))
("Alex Fernandez" (desc 2112.13) (sims
"Ryan Dempster"	0.298396
"BRIAN MEADOWS"	0.222377
"Jesus Sanchez"	0.215386
"Livan Hernandez"	0.215015
"Jack McDowell"	0.197974
"Omar Olivares"	0.197892
"John Burkett"	0.197735
"Ryan Glynn"	0.197305
"Woody Williams"	0.196805
"Gil Heredia"	0.196364
"Steve Parris"	0.19105
"Jason Dickson"	0.190135
"Brian Moehler"	0.188354
"Armando Reynoso"	0.187509
"Paul Byrd"	0.184269
"Kevin Tapani"	0.183651
"Paul Abbott"	0.182849
"Brett Tomko"	0.180133
"Russ Springer"	0.178135
"Ken Cloude"	0.177762
"Rick Reed"	0.175114
"Shawn Estes"	0.174794
"Brett Hinchliffe"	0.174786
"Carl Pavano"	0.174762
"Russ Ortiz"	0.172243
"Scott Erickson"	0.171928
"Dave Mlicki"	0.171518
"Ramon Ortiz"	0.17151
"Darryl Kile"	0.169457
"Mike Morgan"	0.16916
"Bryce Florie"	0.169104
"Al Levine"	0.168772
"Jeff Weaver"	0.167987
"Pat Rapp"	0.163311
"Bret Saberhagen"	0.162977
"Chris Carpenter"	0.162792
"Curt Schilling"	0.161989
"Robb Nen"	0.160665
"Andy Ashby"	0.158142
"John Hudek"	0.156475
"Ken Hill"	0.156147
"Jon Lieber"	0.154126
"Robinson Checo"	0.153548
"Mark Gardner"	0.153454
"Kent Mercker"	0.153005
"Cliff Floyd"	0.152655
"Scott Karl"	0.152165
"John Snyder"	0.151323
"Francisco Cordova"	0.15053
"Mark Clark"	0.150412
"Freddy Garcia"	0.148875
"Brad Radke"	0.14806
"Ramon Martinez"	0.147698
"Pete Harnisch"	0.147366
"Mac Suzuki"	0.147228
"Mark Portugal"	0.147112
"Scott Schoeneweis"	0.146094
"Danny Graves"	0.145155
"Jose Jimenez"	0.145014
"Sidney Ponson"	0.145005
"Andy Benes"	0.144689
"Javier Vazquez"	0.144618
"Byung-Hyun Kim"	0.143305
"Darren Dreifort"	0.142963
"Octavio Dotel"	0.142954
"Pat Hentgen"	0.142798
"Tim Hudson"	0.142713
"Todd Stottlemyre"	0.142465
"Antonio Osuna"	0.14237
"Rolando Arrojo"	0.141331
"Dustin Hermanson"	0.140523
"Eric Milton"	0.140493
"Mark Petkovsek"	0.140358
"Ismael Valdes"	0.140033
"Tim Belcher"	0.139449
"Kent Bottenfield"	0.138914
"Scott Elarton"	0.138904
"Juan Guzman"	0.138228
"Jim Parque"	0.138091
"Matt Mantei"	0.137927
"Chris Holt"	0.137675
"Jamey Wright"	0.135865
"Esteban Loaiza"	0.135852
"Al Leiter"	0.135584
"Brian Anderson"	0.134936
"Chan Ho Park"	0.134037
"Jason Schmidt"	0.134015
"Jamie Moyer"	0.133988
"John Wasdin"	0.13285
"Ramiro Mendoza"	0.13272
"Steve Trachsel"	0.132699
"Willie Blair"	0.132356
"Dave Burba"	0.132061
"Mike Fetters"	0.131934
"Jason Bere"	0.131835
"John Smoltz"	0.131445
"Brian Rose"	0.12895
"Charles Nagy"	0.1289
"Kevin Appier"	0.128839
"Hideo Nomo"	0.128635
"Darren Oliver"	0.128415
Checo	0.127882
"Bobby Jones"	0.127677
"Hideki Irabu"	0.127236
"Kirk Rueter"	0.127154
"Steve Sparks"	0.126877
"Paul Shuey"	0.126683
"Shane Reynolds"	0.126574
"Jamie Arnold"	0.125757
"Wilson Alvarez"	0.125341
"Luis Castillo"	0.125046
"Joey Hamilton"	0.125021
"Frankie Rodriguez"	0.124864
"Terry Mulholland"	0.124604
"Mark Leiter"	0.123822
"Pedro Astacio"	0.123778
"Scott Williamson"	0.123698
"Gregg Olson"	0.123656
"Greg Swindell"	0.1233
"Jaret Wright"	0.123194
"Bill Pulsipher"	0.122331
"Mike Judd"	0.122229
"Orel Hershiser"	0.12195
"Matt Morris"	0.121873
"Steve Avery"	0.121728
"Ugueth Urbina"	0.121248
"Rick Helling"	0.120242
"Gil Meche"	0.120227
"Matt Herges"	0.120158
"Pat Mahomes"	0.119776
"Bartolo Colon"	0.119747
"Dwight Gooden"	0.118954
"Brad Penny"	0.118639
"Tom Candiotti"	0.118096
"Mike Hampton"	0.117698
"Masato Yoshii"	0.117399
"Ron Villone"	0.116786
"Kerry Wood"	0.116382
"Jason Isringhausen"	0.116311
"Eric Gagne"	0.116232
"Tim Wakefield"	0.115517
"Aaron Sele"	0.115094
"Rudy Seanez"	0.114901
"Orlando Hernandez"	0.114807
"John Halama"	0.114707
"Pete Schourek"	0.114444
"Vladimir Nunez"	0.114398
"Brian Bohanon"	0.114026
"Jeff Nelson"	0.113923
"Kevin Millwood"	0.113486
"Jarrod Washburn"	0.113379
"Jin Ho Cho"	0.113331
"Jeff Zimmerman"	0.112959
"Mark Langston"	0.11259
"Terry Adams"	0.112388
"Dennis Cook"	0.112041
"Bruce Chen"	0.112031
"Dennis Martinez"	0.111669
Hentgen	0.111551
"Scott Radinsky"	0.111291
"Jose Lima"	0.11125
"Brian Cooper"	0.110078
"Kenny Rogers"	0.109894
"Chuck Finley"	0.10924
"Mike Magnante"	0.108889
"Rick Aguilera"	0.108638
"John Wetteland"	0.108435
"Greg Maddux"	0.108042
"DOUG JONES"	0.106823
"Mike Sirotka"	0.106768
"Mike Mussina"	0.106249
"Tim Crabtree"	0.106139
Rueter	0.105614
Mahomes	0.105453
"Jeff Fassero"	0.105304
Tapani	0.105194
"Shigetoshi Hasegawa"	0.105129
"Derrek Lee"	0.105025
"Kerry Ligtenberg"	0.104235
"Danny Patterson"	0.104025
"David Cone"	0.103972
"Odalis Perez"	0.103754
Rusch	0.103624
"STEVE WOODARD"	0.102257
Harnisch	0.102181
"Billy Taylor"	0.100987
"Jose Paniagua"	0.100893
"Sean Bergman"	0.100328
"Turk Wendell"	0.100045
Herges	0.0993753
"Kevin Brown"	0.0991889
Mercker	0.0991088
"Andy Pettitte"	0.0987973
"Craig Counsell"	0.0984636
Elarton	0.0975352
Benes	0.0973645
Bottenfield	0.0970261
"Omar Daal"	0.0965896
"Todd Husak"	0.0961432
"Chuck Smith"	0.0955138
))
("Alex Gonzalez" (desc 3189.02) (sims
"Tony Batista"	0.296595
"Mark Loretta"	0.261299
"Preston Wilson"	0.2452
"Mark Kotsay"	0.23235
"Carlos Delgado"	0.230026
"Derrek Lee"	0.229772
"Shannon Stewart"	0.224589
"Cristian Guzman"	0.222555
"Ron Coomer"	0.220194
"Luis Castillo"	0.219338
Renteria	0.216714
"Pat Meares"	0.216326
"Carlos Lee"	0.212456
"Bill Mueller"	0.211753
"Cliff Floyd"	0.20853
Lankford	0.208126
"Russ Johnson"	0.206684
"Geoff Jenkins"	0.204691
Rolen	0.204014
"Dmitri Young"	0.201427
Vidro	0.201028
"Jeff Conine"	0.200099
"Shawn Green"	0.19895
"Damian Jackson"	0.198856
"Miguel Tejada"	0.198629
"Desi Relaford"	0.197184
"Deivi Cruz"	0.196009
"Jose Hernandez"	0.195727
"Darrin Fletcher"	0.193043
"Warren Morris"	0.192531
"Joe Randa"	0.191537
"Jose Valentin"	0.191469
"Matt Franco"	0.191338
"Marvin Benard"	0.191118
"Eric Owens"	0.189644
"Kevin Elster"	0.188556
"Neifi Perez"	0.188283
"Ricky Gutierrez"	0.187246
"Paul Konerko"	0.185799
"Rich Aurilia"	0.184706
"Pokey Reese"	0.184503
"Barry Larkin"	0.183524
"Rondell White"	0.183489
Fullmer	0.180998
"David Bell"	0.180089
"Bobby Higginson"	0.178929
"Bruce Aven"	0.17806
"Damian Miller"	0.177692
"Jose Cruz Jr."	0.177554
"Andy Fox"	0.17537
"Matt Lawton"	0.174364
"Mark Grudzielanek"	0.173567
"Mike Lowell"	0.17293
"Kelly Stinnett"	0.172867
"Scott Spiezio"	0.172542
"Aaron Boone"	0.171604
Cirillo	0.171461
"Eddie Taubensee"	0.170553
"John Vander Wal"	0.170377
"Henry Rodriguez"	0.169621
"Jose Vidro"	0.169573
Burnitz	0.168775
"Scott Rolen"	0.168332
"Matt Stairs"	0.16829
Batista	0.167816
"Marty Cordova"	0.167164
"Kevin Young"	0.167128
"Jeffrey Hammonds"	0.16585
Giambi	0.165416
"Doug Glanville"	0.16511
"Jay Bell"	0.16461
"Chris Gomez"	0.164579
"Bill Spiers"	0.164503
"Mike Sweeney"	0.164348
"Kevin Jordan"	0.164224
"Jeromy Burnitz"	0.163834
"Vladimir Guerrero"	0.16377
"Eric Chavez"	0.162474
"Jeff Cirillo"	0.162088
"Bobby Abreu"	0.161335
DeShields	0.161142
"Tony Fernandez"	0.161095
"Benny Agbayani"	0.161027
"David Ortiz"	0.160936
"Todd Pratt"	0.160808
"Jason Giambi"	0.159697
"Adrian Beltre"	0.159338
Abreu	0.159271
"Chris Widger"	0.159094
Randa	0.158434
"Tim Bogar"	0.158392
"Bengie Molina"	0.158039
"Ray Durham"	0.157985
Sexson	0.157912
"Dante Bichette"	0.157338
Higginson	0.156844
"Mickey Morandini"	0.155882
"Paul Bako"	0.155851
"J.T Snow"	0.155849
"Dean Palmer"	0.155423
"Brad Fullmer"	0.154908
"Melvin Mora"	0.154636
"Mike Lamb"	0.15407
Lieberthal	0.153802
"Royce Clayton"	0.152435
"Marquis Grissom"	0.152368
"Tony Womack"	0.151264
"Phil Nevin"	0.151037
"Brant Brown"	0.150724
"Tony Eusebio"	0.149581
"Mike Lieberthal"	0.149247
"Ruben Rivera"	0.149169
"Luis Alicea"	0.14877
"Jose Guillen"	0.147959
"Eric Karros"	0.147473
"Tom Goodwin"	0.147328
"Rey Sanchez"	0.147274
Nevin	0.147196
"Kevin Stocker"	0.147073
"Ellis Burks"	0.147049
"Edgar Renteria"	0.146462
"Bubba Trammell"	0.146379
"Herbert Perry"	0.146334
"Todd Walker"	0.146324
"Mike Bordick"	0.146235
Ordonez	0.145925
Bordick	0.145835
"Ricky Ledee"	0.145735
Tatis	0.145437
"Fernando Vina"	0.145433
"Rico Brogna"	0.145283
"Derek Bell"	0.14526
"Quilvio Veras"	0.144993
"Willie Greene"	0.144888
"Walt Weiss"	0.144787
"Luis Polonia"	0.143871
"Robin Ventura"	0.143038
"Travis Lee"	0.142971
"Randy Velarde"	0.142621
Elster	0.142388
"Troy Glaus"	0.14193
"Dave Hansen"	0.14099
Beltran	0.140873
"Pat Burrell"	0.140558
"Jay Payton"	0.140452
"Travis Fryman"	0.139869
Bergeron	0.139863
Tejada	0.139803
Karros	0.139681
"John Olerud"	0.139478
"Adam Kennedy"	0.139362
"Richard Hidalgo"	0.139268
"Manny Alexander"	0.139247
"Joe McEwing"	0.139125
Aurilia	0.138998
Glaus	0.138708
"Damion Easley"	0.138683
"Enrique Wilson"	0.137917
McGriff	0.137887
"Ozzie Guillen"	0.137528
"Gary DiSarcina"	0.137521
"John Valentin"	0.137386
"Raul Mondesi"	0.137234
"Benji Gil"	0.137231
"Jeff Kent"	0.136857
"Jose Canseco"	0.136777
"Orlando Palmeiro"	0.136558
"Tino Martinez"	0.13647
Hatteberg	0.136392
DiSarcina	0.136377
"Matt Williams"	0.136373
"Stan Javier"	0.135876
"Mark Grace"	0.135262
"Luis Lopez"	0.135185
"Keith Lockhart"	0.134659
"Wally Joyner"	0.134602
Fryman	0.134544
grieve	0.134526
"Todd Helton"	0.13434
"Juan Encarnacion"	0.134266
"Danny Bautista"	0.133864
Konerko	0.133181
"Gary Sheffield"	0.132882
"Luis Gonzalez"	0.13279
"Lenny Harris"	0.132531
"Jon Nunnally"	0.132506
"Todd Hollandsworth"	0.132465
"Scott Brosius"	0.13235
"Brian Hunter"	0.132283
"Omar Vizquel"	0.132277
"Fred McGriff"	0.131836
"Tim Salmon"	0.131754
"John Mabry"	0.131746
"Moises Alou"	0.131644
Alicea	0.131546
"Mike Caruso"	0.131349
"David Segui"	0.131091
"Corey Koskie"	0.130801
"Richie Sexson"	0.130434
"Brian Daubach"	0.130373
"Craig Counsell"	0.130322
"Roger Cedeno"	0.130233
"Jeremy Giambi"	0.13009
"Lance Berkman"	0.12996
"Johnny Damon"	0.129654
"Jay Buhner"	0.129061
"Ivan Rodriguez"	0.129001
"Brian Giles"	0.128965
Zeile	0.128918
Veras	0.12886
"Ben Grieve"	0.128628
"Dave Martinez"	0.12851
"Ron Gant"	0.128143
"Will Clark"	0.128058
Surhoff	0.127952
"Chad Curtis"	0.127917
"Homer Bush"	0.127345
"Russ Davis"	0.127082
"Charlie Hayes"	0.126655
"Erubiel Durazo"	0.126577
Castilla	0.126497
"Chipper Jones"	0.126414
"Rob Ducey"	0.126147
"Nomar Garciaparra"	0.125998
"Barry Bonds"	0.125728
"Darren Bragg"	0.125687
"Jose Offerman"	0.125587
Bichette	0.12553
"Jason Varitek"	0.125517
"Glenallen Hill"	0.12549
"Mike Stanley"	0.125404
"Bret Boone"	0.125392
Erstad	0.12539
"Carlos Beltran"	0.125291
"Javy Lopez"	0.125184
"F.P Santangelo"	0.125175
"Edgardo Alfonzo"	0.125111
"Jose Vizcaino"	0.125093
"Alex Rodriguez"	0.124957
Glanville	0.124882
"Tony Phillips"	0.124604
"Jorge Fabregas"	0.124403
"Butch Huskey"	0.124283
"Tony Clark"	0.124179
"Jim Leyritz"	0.123893
"Mark McLemore"	0.123714
"Rafael Furcal"	0.123648
"Scott Hatteberg"	0.123418
"Sean Casey"	0.123003
"Devon White"	0.122997
"Shawon Dunston"	0.122993
"Ryan Klesko"	0.122484
Valentin	0.122001
"Eric Young"	0.12172
"Jim Thome"	0.121581
"Ed Sprague"	0.121521
"Harold Baines"	0.121478
"Rich Becker"	0.121442
"Frank Thomas"	0.121262
"Ray Lankford"	0.121088
"Lee Stevens"	0.120868
"Brad Ausmus"	0.120807
"Craig Biggio"	0.120567
"Kurt Abbott"	0.120275
Stinnett	0.120094
Kapler	0.120048
"Miguel Cairo"	0.119977
Vizquel	0.119699
"Tony Graffanino"	0.119587
"Ken Caminiti"	0.11937
Bagwell	0.119356
Alfonzo	0.119263
"Brady Anderson"	0.119023
"J.D Drew"	0.118757
"Darren Lewis"	0.118639
"Craig Paquette"	0.118395
Klesko	0.118337
"Brent Mayne"	0.118241
"Trot Nixon"	0.118231
"Brian McRae"	0.118145
Varitek	0.118117
"Jeff Bagwell"	0.118019
"Kevin Orie"	0.117917
"Rusty Greer"	0.117788
Bautista	0.117097
"Chili Davis"	0.116972
"Jermaine Dye"	0.116806
"Angel Pena"	0.116776
"Mike Benjamin"	0.116685
"Bobby Estalella"	0.116654
"Darin Erstad"	0.116358
"Michael Tucker"	0.116214
"Rey Ordonez"	0.116187
Agbayani	0.115818
"Fernando Tatis"	0.115722
"Mike Cameron"	0.115684
"Alex Cora"	0.115581
"Luis Sojo"	0.115361
"Chris Carpenter"	0.115059
Lofton	0.114995
"Gerald Williams"	0.114829
Grudzielanek	0.114789
Baines	0.114738
"GERONIMO BERROA"	0.114623
"Steve Finley"	0.114596
"Garret Anderson"	0.1144
"Tom Lampkin"	0.114222
"Manny Ramirez"	0.114084
"Chuck Knoblauch"	0.113945
"Jason Kendall"	0.113875
Alomar	0.113428
Hidalgo	0.112954
"Todd Zeile"	0.112722
"Reggie Sanders"	0.112652
"Brian Johnson"	0.112237
"Derek Jeter"	0.112168
Merloni	0.112091
Catalanotto	0.111975
Olerud	0.11195
"Carl Everett"	0.111621
"Todd Greene"	0.111478
"Raul Ibanez"	0.111279
"Mike Lansing"	0.110801
Biggio	0.110413
Dunston	0.110151
Helton	0.110009
Saenz	0.109934
Meares	0.109891
Lawton	0.109857
Thome	0.109634
"Andruw Jones"	0.109457
"Joe Girardi"	0.109063
Daubach	0.108872
"Quinton McCracken"	0.108813
"Kenny Lofton"	0.108345
"Sandy Alomar"	0.108323
Womack	0.108279
Burks	0.108177
Brosius	0.108032
"Jorge Posada"	0.107597
"Brook Fordyce"	0.107495
"Charles Johnson"	0.10716
Frye	0.10709
Delgado	0.106951
Mabry	0.106894
"Gabe Kapler"	0.106822
"Rickey Henderson"	0.106696
"Jeff Huson"	0.106181
"Terrence Long"	0.106067
Hollins	0.10601
"Andy Sheets"	0.105995
Segui	0.105962
"Todd Hundley"	0.105429
"Wil Cordero"	0.105323
Velarde	0.104369
Easley	0.104346
Larkin	0.104032
Spiers	0.103356
"B.J Surhoff"	0.103262
"Mitch Meluskey"	0.102792
"Dan Wilson"	0.102691
"Damon Buford"	0.102606
"Bernie Williams"	0.102286
Palmeiro	0.102178
"Edgar Martinez"	0.102045
"Andres Galarraga"	0.101956
Cordero	0.101678
"Roberto Alomar"	0.10089
))
("Alex O'Brien" (desc 4050.01) (sims
"Jonathan Stark"	0.393344
"MaliVai Washington"	0.337524
"Richey Reneberg"	0.333586
"Jeff Tarango"	0.325891
"Jan-Michael Gambill"	0.316828
"Chris Woodruff"	0.308438
"Vincent Spadea"	0.295896
"Steve Campbell"	0.285843
"Todd Woodbridge"	0.277568
"Tara Snyder"	0.276717
"Jim Courier"	0.276501
"Justin Gimelstob"	0.275979
"Vince Spadea"	0.275719
"Todd Martin"	0.273743
"Corina Morariu"	0.272735
"Amy Frazier"	0.269308
"Chanda Rubin"	0.268608
"Michael Chang"	0.265271
"Sarah Pitkowski"	0.258724
"Lisa Raymond"	0.257524
"Alberto Berasategui"	0.253059
"Younes El Aynaoui"	0.251416
"Paul Haarhuis"	0.250887
"Albert Portas"	0.249499
"Mariano Puerta"	0.245143
"Jason Stoltenberg"	0.244918
"Sargis Sargsian"	0.242979
"Nathalie Dechy"	0.237824
"Wayne Black"	0.237489
"Carlos Costa"	0.234922
"Sabine Appelmans"	0.231739
"Magui Serna"	0.229646
"Judith Wiesner"	0.228935
"Ruxandra Dragomir"	0.22752
"Hernan Gumy"	0.226727
"Paul Goldstein"	0.223428
"Mark Woodforde"	0.223157
"Sebastien Lareau"	0.22261
"Richard Fromberg"	0.221861
"Franco Squillari"	0.221105
"Arnaud Di Pasquale"	0.220233
"Kimberly Po"	0.217907
"Francisco Clavet"	0.216768
"Anne Kremer"	0.215906
"Ramon Delgado"	0.215243
"Richard Krajicek"	0.215071
"Natasha Zvereva"	0.214064
"Wayne Ferreira"	0.213558
"Marcelo Filippini"	0.213446
"Daniel Nestor"	0.213389
"Adrian Voinea"	0.213341
"Jonas Bjorkman"	0.212522
"Mark Knowles"	0.212485
"Magdalena Maleeva"	0.212349
"Scott Draper"	0.212228
"Karim Alami"	0.210712
"Lori McNeil"	0.210325
"Fernando Meligeni"	0.209891
"Silvia Farina"	0.208527
"Fabrice Santoro"	0.207671
"Christian Ruud"	0.207484
"Sjeng Schalken"	0.205551
"Joannette Kruger"	0.205349
"Mariano Zabaleta"	0.205074
"Yayuk Basuki"	0.204411
"Thomas Enqvist"	0.204175
"Andrew Ilie"	0.204012
"Renzo Furlan"	0.203617
"Felix Mantilla"	0.202675
"Arnaud Boetsch"	0.201964
"Nicolas Kiefer"	0.201297
"Marc Rosset"	0.201287
"Albert Costa"	0.200114
"Juan Antonio Marin"	0.19698
"Catalina Cristea"	0.195638
"Brett Steven"	0.194715
"Mikael Tillstrom"	0.193558
"Florencia Labat"	0.193189
"Mary Joe Fernandez"	0.193012
"Davide Sanguinetti"	0.192483
"Andrei Pavel"	0.191756
"Rainer Schuttler"	0.191417
"Thomas Muster"	0.190792
"Pat Rafter"	0.190475
"Marcos Ondruska"	0.190269
"Jacco Eltingh"	0.190043
"Byron Black"	0.189982
"Asa Carlsson"	0.189819
"Andreas Vinciguerra"	0.189543
"Nicole Pratt"	0.189368
"Anke Huber"	0.18902
"Michael Tebbutt"	0.187503
"Guillaume Raoux"	0.187344
"Kenneth Carlsen"	0.187121
"Magnus Norman"	0.187028
"Anne-Gaelle Sidot"	0.186895
"Patrick Rafter"	0.18661
"Alexandra Fusai"	0.186197
"Andrea Gaudenzi"	0.185955
"Magnus Gustafsson"	0.185925
"Cara Black"	0.185828
"Tommy Haas"	0.185706
"Sandrine Testud"	0.184976
"Nicolas Escude"	0.184145
"Sergi Bruguera"	0.184128
"Barbara Paulus"	0.184119
"Nicolas Lapentti"	0.182875
"Tatiana Panova"	0.182854
"Tim Henman"	0.182515
"Elena Likhovtseva"	0.182219
"Filip Dewulf"	0.180398
"Tamarine Tanasugarn"	0.180239
"Grant Stafford"	0.17889
"Javier Sanchez"	0.178362
"Michael Stich"	0.177601
"Xavier Malisse"	0.176937
"Leander Paes"	0.176854
"Irina Spirlea"	0.176848
"Arnaud Clement"	0.176077
"Goran Ivanisevic"	0.175657
"Mark Philippoussis"	0.175315
"Julian Alonso"	0.175147
"Barbara Schett"	0.174333
"Jerome Golmard"	0.173172
"Alex Corretja"	0.173019
"Conchita Martinez"	0.17298
"Roger Federer"	0.172958
"Naoko Sawamatsu"	0.172453
"Cedric Pioline"	0.171533
"Sebastien Grosjean"	0.171508
"Dominique Van Roost"	0.171456
"Olga Barabanschikova"	0.171029
"Rita Grande"	0.170933
"Arantxa Sanchez-Vicario"	0.170894
"Boris Becker"	0.17039
"Iva Majoli"	0.169663
"Elena Dementieva"	0.16943
"Andre Agassi"	0.169366
"Janet Lee"	0.168015
"Daniel Vacek"	0.167764
"Serena Williams"	0.167719
"Alberto Costa"	0.167519
"Barbara Rittner"	0.167439
"Gustavo Kuerten"	0.167089
"Monica Seles"	0.165621
"David Prinosil"	0.165036
"Neville Godwin"	0.164862
"Juan Carlos Ferrero"	0.164857
"Magnus Larsson"	0.16475
"Patty Schnyder"	0.164681
"Andrei Medvedev"	0.164558
"Arantxa Sanchez Vicario"	0.164059
"Li Fang"	0.164037
"Yevgeny Kafelnikov"	0.163917
"Kimiko Date"	0.163774
"Ai Sugiyama"	0.163195
"Lindsay Davenport"	0.161798
"Gianluca Pozzi"	0.160974
"Hicham Arazi"	0.160325
"Galo Blanco"	0.160072
"Greg Rusedski"	0.159859
"Kim Clijsters"	0.159045
"Jennifer Capriati"	0.158275
"John Van Lottum"	0.15816
"Kristie Boogert"	0.158075
"Venus Williams"	0.157145
"Brenda Schultz-McCarthy"	0.157115
"Julie Halard-Decugis"	0.157052
"Thomas Johansson"	0.156818
"Mahesh Bhupathi"	0.15586
"Amanda Coetzer"	0.155449
"Petr Korda"	0.154314
"Russian Yevgeny Kafelnikov"	0.154214
"Paola Suarez"	0.154094
"Mary Pierce"	0.153594
"Nathalie Tauziat"	0.152774
"Guy Forget"	0.152541
"American Michael Chang"	0.151361
Gambill	0.151119
"Miriam Oremans"	0.151074
"Marcelo Rios"	0.150209
"Diego Nargiso"	0.14882
"Barbara Schwartz"	0.148786
"Nicklas Kulti"	0.148573
"Alexandra Stevenson"	0.148262
"Sandon Stolle"	0.147224
"Peter Nicol"	0.147216
Nacional	0.146671
Swardt	0.1465
"Marat Safin"	0.146217
Dragomir	0.146125
"Karol Kucera"	0.145045
"Max Mirnyi"	0.142398
Siemerink	0.141354
"Carlos Moya"	0.140573
"Mirjana Lucic"	0.140172
"Jimmy Connors"	0.139507
"Lleyton Hewitt"	0.137363
"Jana Novotna"	0.137168
"Amelie Mauresmo"	0.136237
"Karina Habsudova"	0.136151
"Dominik Hrbaty"	0.135978
"Henrieta Nagyova"	0.134285
Henman	0.133546
"Jiri Novak"	0.131829
Dosedel	0.131623
Bjorkman	0.13093
Gimelstob	0.130849
"Els Callens"	0.130591
"Rika Hiraki"	0.130199
"Rodney Eyles"	0.128699
"Kveta Hrdlickova"	0.127792
"Martin Damm"	0.127727
"Pete Sampras"	0.127404
Sanchez-Vicario	0.127335
Moya	0.125104
Clavet	0.125044
"Slava Dosedel"	0.125029
Ulihrach	0.124948
Woodforde	0.124937
"Wayne Arthurs"	0.124571
"Helena Sukova"	0.124285
"Jelena Dokic"	0.123933
"American Chanda Rubin"	0.123267
"Andres Gomez"	0.122461
"Dennis van Scheppingen"	0.121832
"Bohdan Ulihrach"	0.121263
Berasategui	0.120194
"Steffi Graf"	0.119436
Stoltenberg	0.118326
Kafelnikov	0.117979
Mauresmo	0.117921
Schett	0.117831
Enqvist	0.116386
"Anna Kournikova"	0.116181
"Gong Zhichao"	0.115532
Puerta	0.114201
Zamalek	0.113139
Corretja	0.111321
"American Lindsay Davenport"	0.111186
"Simon Archer"	0.111015
Schalken	0.110944
"Olivier Delaitre"	0.110677
Kucera	0.109871
Testud	0.109312
Sugiyama	0.108835
Haarhuis	0.107386
Bruguera	0.106933
"Martina Hingis"	0.106428
"Camilla Martin"	0.105504
Likhovtseva	0.105166
"Stefan Edberg"	0.104906
Mantilla	0.104665
"Partizan Belgrade"	0.10466
"Olympique Marseille"	0.103823
"Australian Mark Philippoussis"	0.10355
Agassi	0.103038
"American Pete Sampras"	0.102924
Coetzer	0.102726
rios	0.102321
Chang	0.101296
Krajicek	0.100875
))
("Alex Rodriguez" (desc 14398.6) (sims
"Edgar Martinez"	0.289455
"Jay Buhner"	0.275055
"Ken Griffey Jr."	0.236745
"David Segui"	0.222829
"David Bell"	0.215232
"Nomar Garciaparra"	0.214426
"Russ Davis"	0.214353
"Manny Ramirez"	0.210462
"Dan Wilson"	0.209548
"Rafael Palmeiro"	0.198613
"John Olerud"	0.188059
"Mike Cameron"	0.187657
"Jim Thome"	0.187638
"Omar Vizquel"	0.186857
"Derek Jeter"	0.186256
"Barry Larkin"	0.185818
"Bernie Williams"	0.185149
"Barry Bonds"	0.180028
"Ivan Rodriguez"	0.179588
"Mark McLemore"	0.176946
Rodriguez	0.175501
"Juan Gonzalez"	0.174284
"Roberto Alomar"	0.174029
"Carlos Guillen"	0.17099
"Jeff Bagwell"	0.170071
"John Mabry"	0.167708
"Chipper Jones"	0.167334
"Mo Vaughn"	0.167302
"Jose Canseco"	0.166613
"Royce Clayton"	0.166523
"Mike Piazza"	0.16398
"Scott Brosius"	0.162666
"Gary Sheffield"	0.160888
"Mark Grudzielanek"	0.160786
Segui	0.160733
Garciaparra	0.160121
"Sammy Sosa"	0.159253
"Travis Fryman"	0.158329
"Jose Offerman"	0.15677
"Jeff Kent"	0.153841
"Kenny Lofton"	0.153678
"Troy Glaus"	0.152523
"Craig Biggio"	0.152381
Griffey	0.152213
"Rusty Greer"	0.15196
"Jay Bell"	0.151754
"Frank Thomas"	0.151675
"Dante Bichette"	0.151086
Rolen	0.149665
"John Valentin"	0.149446
"Tino Martinez"	0.149067
"Tony Gwynn"	0.148677
"Stan Javier"	0.14848
"Tim Bogar"	0.148444
Jeter	0.147595
Vidro	0.147116
"Marvin Benard"	0.146437
"Carl Everett"	0.146179
Palmeiro	0.145606
"Tim Salmon"	0.145586
"Devon White"	0.145362
"Tom Goodwin"	0.144679
"Rickey Henderson"	0.144541
"Chuck Knoblauch"	0.144081
Alfonzo	0.142862
"Andruw Jones"	0.142747
"Tony Batista"	0.142666
"Damian Jackson"	0.142597
Olerud	0.142087
"Deivi Cruz"	0.142062
"Shawn Green"	0.14199
"Edgardo Alfonzo"	0.141371
"Adrian Beltre"	0.141096
"Jose Hernandez"	0.141067
Buhner	0.14075
"Brian Jordan"	0.140452
"Walt Weiss"	0.140158
"Mark Grace"	0.139978
"Vladimir Guerrero"	0.139819
Cirillo	0.139507
"Mark Loretta"	0.13943
"Bill Mueller"	0.139289
"Javy Lopez"	0.139148
"Fred McGriff"	0.138908
"Robin Ventura"	0.138037
"Mike Bordick"	0.137937
"Eric Karros"	0.137891
"Pat Meares"	0.137456
"Albert Belle"	0.137269
"Garret Anderson"	0.137185
"Mike Sweeney"	0.136798
"Rich Aurilia"	0.136543
"Luis Alicea"	0.135902
Larkin	0.13532
"Matt Lawton"	0.135017
"Ryan Klesko"	0.134491
"Scott Rolen"	0.134043
"Darin Erstad"	0.133953
"Dean Palmer"	0.132592
"Randy Johnson"	0.132062
"Matt Williams"	0.132029
"Gerald Williams"	0.131655
"Lee Stevens"	0.131586
"Greg Vaughn"	0.13154
"Carlos Delgado"	0.131457
"Rey Ordonez"	0.131119
"Will Clark"	0.131098
"Jorge Posada"	0.130882
"Ray Durham"	0.130748
"Eric Owens"	0.130333
"Cal Ripken"	0.130216
Erstad	0.130125
"Brian Hunter"	0.129468
"Bill Spiers"	0.129422
Knoblauch	0.129148
"Gary DiSarcina"	0.128953
Vaughn	0.12885
"Neifi Perez"	0.128424
"Henry Rodriguez"	0.127729
"Ozzie Guillen"	0.127616
"Trot Nixon"	0.127565
"Eric Young"	0.126791
"Moises Alou"	0.126754
"Ellis Burks"	0.126726
"Raul Ibanez"	0.126289
Vizquel	0.12562
"B.J Surhoff"	0.125174
"Butch Huskey"	0.125078
"Alex Gonzalez"	0.124957
"Travis Lee"	0.124936
Alomar	0.12473
Brosius	0.124652
"Bobby Abreu"	0.124497
"Damian Miller"	0.124383
"Edgar Renteria"	0.123401
"Todd Hundley"	0.123096
"Bobby Higginson"	0.12269
"Warren Morris"	0.122492
"Jose Valentin"	0.122134
"Chad Curtis"	0.121798
"Ken Caminiti"	0.121337
"Todd Zeile"	0.12105
Karros	0.12088
"Brian Daubach"	0.120774
"Mike Stanley"	0.12067
Bordick	0.120597
"Damion Easley"	0.120577
A-Rod	0.120523
Lofton	0.120208
"Kevin Elster"	0.120203
"Jason Varitek"	0.120003
"Jason Kendall"	0.119656
"Ron Coomer"	0.119466
"Paul O'Neill"	0.119266
"Matt Stairs"	0.119143
"Mickey Morandini"	0.118965
"Cristian Guzman"	0.118929
Ordonez	0.118871
"Glenallen Hill"	0.118765
"Russ Johnson"	0.118761
grieve	0.118638
"Joey Cora"	0.118286
Velarde	0.118284
Burnitz	0.118122
"Randy Velarde"	0.117971
"Luis Gonzalez"	0.117817
"Benny Agbayani"	0.117655
"Mark McGwire"	0.117639
"Dmitri Young"	0.117607
"Troy O'Leary"	0.117507
"Darren Lewis"	0.117488
"Todd Helton"	0.117109
"Richie Sexson"	0.116636
"Pokey Reese"	0.116611
"Chili Davis"	0.116017
"Tony Womack"	0.115889
Piazza	0.115733
"Jim Edmonds"	0.115349
"Marquis Grissom"	0.115294
Giambi	0.115237
"Phil Nevin"	0.114848
"Luis Lopez"	0.114575
"Kelly Stinnett"	0.114555
"Ken Griffey"	0.114166
"Raul Mondesi"	0.114139
"Chris Widger"	0.114073
"Larry Walker"	0.114051
Daubach	0.113914
"Luis Castillo"	0.113591
"Mark Kotsay"	0.113509
Grudzielanek	0.113398
"Desi Relaford"	0.113364
"Tony Eusebio"	0.112643
"Melvin Mora"	0.112582
Fullmer	0.112365
"Paul Konerko"	0.112361
"Jason Giambi"	0.112287
"Jeff Conine"	0.112208
Bichette	0.112132
"Steve Finley"	0.111993
"Miguel Tejada"	0.111883
"Jeff Cirillo"	0.111839
"Reggie Sanders"	0.11181
Renteria	0.111764
Sosa	0.11175
"Derek Bell"	0.11151
"Sandy Alomar"	0.111494
"Jeff Fassero"	0.110885
"Tony Clark"	0.110804
Beltre	0.110046
"Jose Vidro"	0.109918
"Ricky Ledee"	0.109801
"Dave Hansen"	0.109795
"Brady Anderson"	0.109674
"Scott Spiezio"	0.109618
"Jeromy Burnitz"	0.109323
"Andy Fox"	0.109322
Abreu	0.109248
"Vinny Castilla"	0.109089
"Bruce Aven"	0.109001
"Ben Grieve"	0.108864
"Carlos Lee"	0.108796
Valentin	0.108588
Spiers	0.108448
Biggio	0.108448
Dunston	0.108419
"Todd Pratt"	0.108002
"Rondell White"	0.107777
"Kevin Stocker"	0.107501
Aurilia	0.107428
"Tom Lampkin"	0.107343
"John Vander Wal"	0.10725
Thome	0.107163
"Carlos Beltran"	0.106998
"Andres Galarraga"	0.106748
Tatis	0.106639
"Jermaine Dye"	0.10656
"Geoff Jenkins"	0.105733
Lankford	0.105484
Canseco	0.105416
"Miguel Cairo"	0.105325
"Jamie Moyer"	0.105288
"Derrek Lee"	0.105258
Martinez	0.105142
"Sean Casey"	0.105129
Alicea	0.105062
Ledee	0.104998
"Harold Baines"	0.10479
"Chris Gomez"	0.104482
"Rey Sanchez"	0.103963
"J.T Snow"	0.103661
Guillen	0.103637
"Brian McRae"	0.103556
"Ricky Gutierrez"	0.103494
Kapler	0.103425
Mondesi	0.102811
Gonzalez	0.102805
"Cliff Floyd"	0.102395
"Luis Sojo"	0.10239
"Cal Ripken Jr."	0.102335
"Eric Chavez"	0.10221
"Keith Lockhart"	0.101874
Cedeno	0.101867
"Darryl Hamilton"	0.10178
Glaus	0.101743
"Manny Alexander"	0.101693
"Mike Lieberthal"	0.101564
"Adam Kennedy"	0.101392
"Johnny Damon"	0.10091
"Luis Polonia"	0.100786
"Kevin Young"	0.100556
Surhoff	0.100476
"Al Martin"	0.100405
"Enrique Wilson"	0.100377
"Carlos Baerga"	0.100083
"Fernando Vina"	0.10004
"Bret Boone"	0.100007
))
("Alex Solis" (desc 3046.7) (sims
"Kent Desormeaux"	0.341611
"Pat Day"	0.332953
"Gary Stevens"	0.319508
"Chris McCarron"	0.303188
"Corey Nakatani"	0.299187
"David Flores"	0.283316
"Jorge Chavez"	0.276512
"Jerry Bailey"	0.276377
"Chris Antley"	0.244125
"Laffit Pincay"	0.207447
"Mike Smith"	0.137427
"Bill Shoemaker"	0.134065
McCarron	0.108435
"Puerto Madero"	0.102885
Pincay	0.10182
commendable	0.100587
"Neil Drysdale"	0.0954332
Solis	0.0944425
"Bob Baffert"	0.0888994
Malek	0.0810501
Jalabert	0.0775699
"River Keen"	0.0758393
Desormeaux	0.0733242
Sautin	0.0710906
"Old Trieste"	0.0686906
Pantani	0.0684112
Julich	0.06824
Stevens	0.0679621
"Marco Pantani"	0.0662614
Zanardi	0.065947
"Fusaichi Pegasus"	0.0644678
Svorada	0.0636318
Devers	0.0633311
Chilukki	0.0631998
"Free House"	0.0628492
"Chris Boardman"	0.0626744
Antley	0.0621993
Meissner	0.0614989
"Nick Zito"	0.0606354
"Francesco Casagrande"	0.0602903
"High Yield"	0.059437
"Richard Virenque"	0.0579885
Doohan	0.056818
"Alex Zuelle"	0.0564108
Ullrich	0.0562378
Luyendyk	0.0554795
Budroyale	0.0548984
"Real Quiet"	0.0544365
Gremio	0.0540092
Sellers	0.0537813
Valenzuela	0.0533444
Biffle	0.0531409
"D. Wayne Lukas"	0.0531088
bailey	0.052972
"Red Bullet"	0.0528668
Enqvist	0.052188
Scelzi	0.0516481
Ottey	0.0508924
Ertl	0.0504477
Anees	0.0503207
Supersonics	0.0502841
"War Chant"	0.050204
"Barry Switzer"	0.050076
O'Sullivan	0.0500663
"Max Biaggi"	0.0495988
Karlsson	0.0491407
"A.P Indy"	0.0491263
"Perez Balladares"	0.048605
"Prime Timber"	0.0484777
BEGAY	0.0482539
"Lance Armstrong"	0.0482311
Sainz	0.0480946
"Banshee Breeze"	0.0480776
Tanui	0.0478312
Aamodt	0.0477004
"Cat Thief"	0.0476779
Millar	0.047642
Gomez	0.0475144
"Alex Zulle"	0.0472711
Rahal	0.0470376
Nicol	0.0465417
Montoya	0.0463923
"Tom Steels"	0.0461317
Pioline	0.0460259
Krone	0.0456417
Virenque	0.0456235
Robson	0.0454984
"Mario Cipollini"	0.0454881
Appleby	0.0454692
"Victory Gallop"	0.04532
"Russ Ortiz"	0.0452792
Okada	0.0450634
"Robby Gordon"	0.0449953
"Richard Mandella"	0.0449519
"Alex Zanardi"	0.0448178
Cipollini	0.0448091
Romero	0.0444438
"Stephen Got Even"	0.0444092
Meche	0.0444024
"Laurent Jalabert"	0.0438971
Zabel	0.0438647
Jayasinghe	0.0438513
Majoli	0.0437405
Hickman	0.0437069
Ivanisevic	0.0436752
"Pavel Tonkov"	0.0436525
Hoch	0.0436325
Chevenement	0.0435917
"Silver Charm"	0.0435231
"Kevin Keegan"	0.0435084
Bucaram	0.0434509
"Excellent Meeting"	0.0433844
Herta	0.042899
"Nick Price"	0.0428936
Barros	0.0428565
Duran	0.0427933
"Adrian Fernandez"	0.042751
"Bobby Julich"	0.0427347
Unser	0.042734
Alarcon	0.0426899
shoemaker	0.0425959
"Bora Milutinovic"	0.0423114
Tapani	0.0422023
Klim	0.0421904
Inkster	0.0421348
Pippig	0.0420437
"Warren Moon"	0.0419756
"Martin Schmitt"	0.0419322
Vasser	0.0419148
"Don Shula"	0.0419068
Menifee	0.041798
Saberhagen	0.0417751
Janzen	0.0416429
Guerra	0.0415944
LeBlanc	0.0414509
"Miguel Indurain"	0.0414362
"major-league team"	0.0413505
Ranford	0.0413191
Krayzelburg	0.0412361
Hornaday	0.041225
Meissnitzer	0.041183
Hentgen	0.0410244
Ainge	0.0410237
"Van Roost"	0.0410195
"Scott Goodyear"	0.0408744
Zuelle	0.0408355
Verney	0.0407647
Sahadi	0.0406271
Nicklaus	0.0402977
cinematographer	0.0401996
"Skip Away"	0.0401743
))
("Alex Zanardi" (desc 3001.42) (sims
"Jimmy Vasser"	0.351123
"Juan Montoya"	0.303697
"Bobby Rahal"	0.286474
"Michael Andretti"	0.276633
"Al Unser Jr."	0.271265
"Max Papis"	0.268605
"Christian Fittipaldi"	0.259875
"Kenny Brack"	0.246046
"Paul Tracy"	0.236375
"Dario Franchitti"	0.232661
"Eddie Cheever"	0.229161
Zanardi	0.214923
"Max Biaggi"	0.212835
"Jacques Villeneuve"	0.200048
"Adrian Fernandez"	0.192016
"Deborah Compagnoni"	0.18383
"Scott Pruett"	0.182664
"Damon Hill"	0.174477
"Arie Luyendyk"	0.170951
"Isolde Kostner"	0.162442
"Marco Pantani"	0.161953
"Dale Earnhardt Jr."	0.160842
"MIka Hakkinen"	0.160352
"Billy Boat"	0.157991
Vasser	0.155753
"Scott Sharp"	0.153412
"Francesco Casagrande"	0.150846
"Paul Tergat"	0.148208
"Robby Gordon"	0.148077
"Dale Jarrett"	0.145611
"Mario Andretti"	0.145134
"Tony Stewart"	0.145025
"Greg Ray"	0.144966
"Laurent Brochard"	0.144572
"Deon Hemmings"	0.142229
"Michael Schumacher"	0.141315
"Michael Doohan"	0.14107
"Bryan Herta"	0.140982
"Miguel Indurain"	0.140236
"HANK KUEHNE"	0.139146
"Moses Tanui"	0.138601
"Tommi Makinen"	0.137536
"Elvis Stojko"	0.136283
"Darrell Waltrip"	0.135815
"Colin McRae"	0.135274
"Alberto Tomba"	0.132132
"Jeff Gordon"	0.131269
"Johan Museeuw"	0.130825
"Todd Eldredge"	0.130257
"Greg Moore"	0.129085
"Lasse Kjus"	0.12855
"Abraham Olano"	0.128302
Sainz	0.128239
"Johnny Tapia"	0.128064
"Katja Seizinger"	0.128001
"Maria Butyrskaya"	0.126413
"Kong Linghui"	0.125962
"Gil Morgan"	0.124472
"Vanessa Atler"	0.123578
"Linford Christie"	0.123314
"Ivan Pedroso"	0.122952
"Lee Janzen"	0.122104
"Fu Mingxia"	0.122041
Andretti	0.122011
"Wang Yifu"	0.121379
"Matt Kuchar"	0.121211
"Kostya Tszyu"	0.120979
"Irina Slutskaya"	0.120689
"Alexei Yagudin"	0.12064
"Thomas Stangassinger"	0.12002
"Paul Lawrie"	0.119921
"Jeff King"	0.119626
"Blaine Wilson"	0.119003
"Renzo Furlan"	0.118955
"Carlos Sainz"	0.11651
"Pernilla Wiberg"	0.116426
"Jansher Khan"	0.116103
"Svetlana Khorkina"	0.115851
"Buster Douglas"	0.115716
Franchitti	0.115584
"Hilde Gerg"	0.115236
"Li Jiajun"	0.114684
"Michele Bartoli"	0.114668
"Chris Boardman"	0.114602
"Doug Walker"	0.113962
"Ricky Rudd"	0.113899
"Fatuma Roba"	0.113715
"Jubilo Iwata"	0.113685
"Sonia O'Sullivan"	0.11314
"Hale Irwin"	0.112823
"Michael Weiss"	0.111462
"Peter Rasmussen"	0.111226
"Allen Johnson"	0.111174
"Fernando Vargas"	0.11107
"Fiona May"	0.111062
"Roy Jones Jr."	0.110618
"Jorgen Persson"	0.110305
"Ralf Schumacher"	0.110241
"Steve Elkington"	0.110177
"Arantxa Sanchez Vicario"	0.110048
"Alex Zuelle"	0.109762
"Juli Inkster"	0.108994
"Eddie Irvine"	0.107996
"Kinder Bologna"	0.107582
"Renate Goetschl"	0.107062
"David Reid"	0.106891
"Olin Browne"	0.106067
"Matt Kenseth"	0.106061
"David Coulthard"	0.105908
"Derrick Adkins"	0.104818
"Juha Kankkunen"	0.104455
"Anatoly Karpov"	0.104424
"Xiong Ni"	0.104418
"Dale Earnhardt"	0.103948
"Zoran Primorac"	0.103167
"Christine Arron"	0.103033
Shuwei	0.102604
"Gail Devers"	0.102416
"Pavel Tonkov"	0.102102
"Ye Zhaoying"	0.101957
"Oliver McCall"	0.101511
"Paulie Ayala"	0.101387
"Alexander Popov"	0.101365
"Jose Maria Olazabal"	0.101313
"Dong Jiong"	0.101052
"Michael Von Gruenigen"	0.101003
"C.J Hunter"	0.100758
Bruguera	0.100729
"Ivan Ivankov"	0.100322
"Elena Berezhnaya"	0.100066
"Gunda Niemann-Stirnemann"	0.0997891
"Vijay Singh"	0.0994344
Musashimaru	0.0992461
"Inger Miller"	0.0988477
"Richard Krajicek"	0.0987605
"Alexei Nemov"	0.0987584
"Heinz-Harald Frentzen"	0.0982924
"Martina Ertl"	0.0982847
"Houston Comets"	0.0982714
"Mario Cipollini"	0.0979562
"Terry Labonte"	0.0979425
"Ernie Els"	0.0978975
"Svetlana Masterkova"	0.0976977
"Picabo Street"	0.0974742
"Earnhardt Jr."	0.0971145
"Justin Leonard"	0.0969972
"Arantxa Sanchez-Vicario"	0.0969117
"Shanghai Shenhua"	0.0968235
"Michelle Kwan"	0.0967164
"John Godina"	0.0963921
"Liu Limin"	0.0961135
"Hermann Maier"	0.0960079
Villeneuve	0.0959585
"Patrick Rafter"	0.0958134
"Cathy Freeman"	0.0955415
"Chen Lu"	0.0955264
"Guo Jingjing"	0.0949471
"Wang Nan"	0.094937
"Donovan Bailey"	0.0947831
"Rusty Wallace"	0.094511
"Chicago Fire"	0.0944556
"Maria Mutola"	0.0943559
"Daniel Komen"	0.0943441
"Mark O'Meara"	0.0941202
"Simona Amanar"	0.0940543
Sautin	0.0938893
"Jean-Philippe Gatien"	0.0938449
"Mark Martin"	0.0938098
Unser	0.0937962
"Oksana Kazakova"	0.0933872
"Mark Calcavecchia"	0.0933739
Anees	0.0928321
"Charles Austin"	0.0927371
"Rodney Eyles"	0.0924611
"Penny Heyns"	0.091538
"Didier Auriol"	0.0915185
"Jana Novotna"	0.0914799
"Maurice Greene"	0.0914424
"Sam Schmidt"	0.0912312
"Li Xuemei"	0.0912195
"Jeff Burton"	0.0911101
Rahal	0.0910452
"Anjelika Krylova"	0.0908853
"Lance Armstrong"	0.0906582
"Davis Love III"	0.0906393
"Liu Guoliang"	0.0902234
"Garry Kasparov"	0.0902075
"Yevgeny Kafelnikov"	0.0898647
"Le Jingyi"	0.0897504
"Annika Sorenstam"	0.0894663
"Claudia Poll"	0.0894258
"Petr Korda"	0.0892375
"Corey Pavin"	0.0891966
"Steffi Graf"	0.0891132
"Shane Mosley"	0.0890103
"Frank Nobilo"	0.0888173
Kaiserslautern	0.0885137
"Irina Privalova"	0.0882312
"Pat Rafter"	0.0879725
"Denis Pankratov"	0.0878942
))
("Alex Zuelle" (desc 3621.57) (sims
"Alex Zulle"	0.466787
"Laurent Dufaux"	0.323611
"Michael Von Gruenigen"	0.256891
"Laurent Brochard"	0.244749
"Abraham Olano"	0.224065
"Laurent Jalabert"	0.222633
"Richard Virenque"	0.201476
"Francesco Casagrande"	0.190232
"Marco Pantani"	0.188305
Jalabert	0.186279
"Bjarne Riis"	0.172784
"Fernando Escartin"	0.172132
"Chris Boardman"	0.171675
"Johan Museeuw"	0.171113
"Miguel Indurain"	0.158989
"Pavel Tonkov"	0.15862
Ullrich	0.149466
"Marc Rosset"	0.148568
"Erik Zabel"	0.147517
"Tom Steels"	0.145567
"Patty Schnyder"	0.145373
"Roger Federer"	0.145258
"Paul Tergat"	0.14162
"Lance Armstrong"	0.139935
"Moses Tanui"	0.13556
"Colin McRae"	0.132154
"Max Biaggi"	0.132064
"Bobby Julich"	0.130983
"Marc Hodler"	0.124742
"Michael Doohan"	0.120469
"Katja Seizinger"	0.119915
Zuelle	0.117318
"Alexandra Meissnitzer"	0.116483
"Frenchman Laurent Jalabert"	0.116452
"Carlos Sainz"	0.113303
"Maria Butyrskaya"	0.112913
"Pernilla Wiberg"	0.111911
"Hermann Maier"	0.111233
"Fatuma Roba"	0.110205
"Tommi Makinen"	0.109793
"Alex Zanardi"	0.109762
"Eddie Cheever"	0.109168
"Daniel Komen"	0.10727
"Fu Mingxia"	0.105834
"Jansher Khan"	0.105282
"David Coulthard"	0.103211
"Michele Bartoli"	0.102563
"Deon Hemmings"	0.100239
"MIka Hakkinen"	0.0987697
"Thomas Stangassinger"	0.0978379
"Martina Hingis"	0.0970795
"Mario Cipollini"	0.0969252
"Bjarte Engen Vik"	0.0968587
Svorada	0.0967715
"Jeff King"	0.0959222
Longo	0.0957272
"Didier Auriol"	0.095404
"Ivan Pedroso"	0.0953624
"Richard Burns"	0.094561
"Ge Fei"	0.0942619
Pantani	0.0942331
"UBS AG"	0.0935291
"Tegla Loroupe"	0.0930974
"Jacques Villeneuve"	0.0920343
"Gil Morgan"	0.0914014
"Picabo Street"	0.0902174
"Stuart O'Grady"	0.0891352
"Juha Kankkunen"	0.0890749
"Lasse Kjus"	0.088995
Zabel	0.0884693
Sion	0.0858881
"Jean-Philippe Gatien"	0.0852027
"Jimmy Vasser"	0.0850402
"Jeremy Wotherspoon"	0.0847695
"Rodney Eyles"	0.084517
"Renate Goetschl"	0.0842525
"Tyler Hamilton"	0.0840969
"Kenny Brack"	0.0840559
"Billy Boat"	0.0838489
"Yu Zhuocheng"	0.0831314
Sainz	0.0828565
"Gabriela Szabo"	0.0826375
"Allen Johnson"	0.0824092
"Irina Privalova"	0.0823
"Blaine Wilson"	0.0822421
"Peter Rasmussen"	0.0822285
"Isolde Kostner"	0.0820174
"Susie O'Neill"	0.0812419
"Zoran Primorac"	0.0808135
Susanti	0.079734
"Svetlana Khorkina"	0.0792753
"Olin Browne"	0.0792094
"Wang Yifu"	0.0792073
"Ye Zhaoying"	0.0788089
"Gail Devers"	0.0787072
"Jubilo Iwata"	0.0785567
"Derrick Adkins"	0.078432
"Sonia O'Sullivan"	0.078392
"Brooke Bennett"	0.0782242
"Michael Schumacher"	0.078168
"Rintje Ritsma"	0.0780309
"Hale Irwin"	0.0775075
"Federal Council"	0.0774635
"Kieren Perkins"	0.0774028
Virenque	0.0772663
"Kong Linghui"	0.0771864
"Martin Schmitt"	0.0770992
"Damon Hill"	0.0770476
"Vanessa Atler"	0.0769171
"Le Jingyi"	0.0767941
"Roy Jones Jr."	0.0766437
"Simona Amanar"	0.0763458
"Jorge Chavez"	0.0762346
"Susi Susanti"	0.0755073
"Marie-Jose Perec"	0.0754766
"Bertrand Piccard"	0.0753274
"Johnny Tapia"	0.0751934
"Yang Yang"	0.0748044
"John Godina"	0.0747036
"Arie Luyendyk"	0.0738201
"Elvis Stojko"	0.0732837
"Kostya Tszyu"	0.0728759
"Oksana Kazakova"	0.072828
"Christine Arron"	0.072451
"Anatoly Karpov"	0.0722447
"Claudia Poll"	0.0719904
"Alexei Yagudin"	0.0718412
"Irina Slutskaya"	0.0716329
"Ato Boldon"	0.0715362
"Frank Bruno"	0.0712754
"Martina Ertl"	0.0710208
"Juan Montoya"	0.0708441
"Wang Nan"	0.0708411
"Joko Suprianto"	0.0707782
"Karrie Webb"	0.0707142
"Eddie Irvine"	0.0707128
"Michael Weiss"	0.0707002
"Inger Miller"	0.0705409
"Frank Nobilo"	0.0705253
"Linford Christie"	0.0704733
"Alexei Nemov"	0.0703807
"Michael Andretti"	0.0701217
"Mark Calcavecchia"	0.0700724
"Yevgeny Kafelnikov"	0.0700388
"Guo Jingjing"	0.0700216
"Taufik Hidayat"	0.0698555
"Li Jiajun"	0.0692991
"Heryanto Arbi"	0.0691347
"Scott Sharp"	0.0689762
"Donovan Bailey"	0.0685933
Olano	0.0685431
"Chen Lu"	0.0682893
"Sergi Bruguera"	0.068242
"Heinz-Harald Frentzen"	0.0679066
"Kim Batten"	0.0678814
"Hilde Gerg"	0.0676285
"Charles Austin"	0.0676157
"Jorgen Persson"	0.0673226
AEK	0.0672997
"Penny Heyns"	0.0672538
"Gunda Niemann-Stirnemann"	0.0672217
"Carlos Moya"	0.0672078
"Juli Inkster"	0.0670378
"American Pete Sampras"	0.0669184
"Annika Sorenstam"	0.0669137
"Hicham El Guerrouj"	0.0668701
"Thomas Enqvist"	0.0666375
"Albert Costa"	0.0665752
"Khalid Khannouchi"	0.0664933
"Svetlana Masterkova"	0.0664113
"Dong Jiong"	0.0662294
Tanui	0.066057
"Cathy Freeman"	0.0658456
"Thomas Muster"	0.0658282
"Hu Weidong"	0.065742
"Todd Eldredge"	0.0655621
"Alex Corretja"	0.0653337
UBS	0.0652047
"Felix Savon"	0.0650235
"Matt Kuchar"	0.0649605
"Ivan Ivankov"	0.0648997
"Peter Gade Christensen"	0.0648704
"Paul Lawrie"	0.064857
"Ricky Rudd"	0.0647891
"Bruny Surin"	0.0646238
"Mark Crear"	0.064505
"Jan-Ove Waldner"	0.0643864
"Kimiko Date"	0.0641657
"Fiona May"	0.0641396
"Gianni Romme"	0.0639993
"Davis Love III"	0.063948
"Gong Ruina"	0.0639298
"Felix Mantilla"	0.0638987
"Rainer Schuttler"	0.0638713
"Scott Pruett"	0.0638637
"Greg Ray"	0.0636252
"Liu Guoliang"	0.0634883
"Michael Chang"	0.0634708
"Xiong Ni"	0.0634524
Shuwei	0.0634265
))
("Alex Zulle" (desc 3385.78) (sims
"Alex Zuelle"	0.466787
"Laurent Jalabert"	0.336119
"Laurent Dufaux"	0.312021
"Abraham Olano"	0.3065
"Laurent Brochard"	0.281991
"Erik Zabel"	0.259001
"Fernando Escartin"	0.243396
"Francesco Casagrande"	0.240928
"Richard Virenque"	0.240837
"Pavel Tonkov"	0.239291
"Michael Von Gruenigen"	0.23117
"Marco Pantani"	0.222556
"Bobby Julich"	0.205057
"Bjarne Riis"	0.204505
Jalabert	0.200466
"Mercatone Uno"	0.181957
"Miguel Indurain"	0.176427
Ullrich	0.172486
"Lance Armstrong"	0.168945
"Johan Museeuw"	0.167061
"Mario Cipollini"	0.164938
"Michele Bartoli"	0.163029
"Frenchman Laurent Jalabert"	0.162009
"Chris Boardman"	0.14174
"Roger Federer"	0.139611
Olano	0.138683
Virenque	0.135008
"Patty Schnyder"	0.130393
"Tom Steels"	0.130306
"Marc Rosset"	0.123985
"Marc Hodler"	0.118203
"Stuart O'Grady"	0.115632
"Tommi Makinen"	0.110704
Pantani	0.108602
Julich	0.106934
"Hilde Gerg"	0.103567
Banesto	0.0997153
"Paul Tergat"	0.096414
"Max Biaggi"	0.0963203
Zuelle	0.0954684
Svorada	0.0951903
"UBS AG"	0.0938749
Sion	0.0917443
Sainz	0.0897222
"Pernilla Wiberg"	0.0859323
"Tegla Loroupe"	0.0827456
"Federal Council"	0.0825632
"Martina Ertl"	0.0811904
Klim	0.0810377
"Martina Hingis"	0.0802151
Mapei	0.079891
"Tyler Hamilton"	0.0786193
"Isolde Kostner"	0.0780665
"Bertrand Piccard"	0.0771838
"Sonia O'Sullivan"	0.0764066
Zabel	0.0749006
"Colin McRae"	0.0744792
"Lasse Kjus"	0.0735417
"Kjetil Andre Aamodt"	0.0728434
"Juha Kankkunen"	0.0727715
"David Coulthard"	0.0724279
"Richard Burns"	0.0715404
Boardman	0.071174
"MIka Hakkinen"	0.0704216
Polti	0.0690643
Doohan	0.0677897
Festina	0.067683
"Michael Schumacher"	0.0662365
"Jacques Villeneuve"	0.065721
"Li Na"	0.0654971
Tanui	0.0650985
"Deon Hemmings"	0.0647937
"Michael Weiss"	0.0646948
"Carlos Sainz"	0.0637779
"Favorite Trick"	0.0633985
"Dale Jarrett"	0.0630511
"Alexei Nemov"	0.0629633
UBS	0.0625308
"Mark Martin"	0.0614627
"Katja Seizinger"	0.0610784
"Chen Lu"	0.0606714
"Eddie Cheever"	0.0604946
"Martina Moravcova"	0.0598745
"HANK KUEHNE"	0.0598584
"Matt Kenseth"	0.0598225
Devers	0.0597693
"Fatuma Roba"	0.0597512
"Daniel Komen"	0.0596043
LeBlanc	0.0596002
Millar	0.0593454
"Jeff Burton"	0.0588177
Aamodt	0.0587733
"Irina Slutskaya"	0.058602
"Gail Devers"	0.058567
"Hermann Maier"	0.058383
"Dario Franchitti"	0.0581753
"Dong Jiong"	0.058156
"Picabo Street"	0.0580217
"Wilson Kipketer"	0.0578037
"Eddie Irvine"	0.0576529
Basle	0.0576456
Kjus	0.0575865
"Christine Arron"	0.0574421
Jeux	0.0574134
"Johnny Tapia"	0.0573058
"Gabriela Szabo"	0.0569512
"Gianni Romme"	0.0568941
"Kristen Maloney"	0.0566846
"Subaru Impreza"	0.0561358
"Le Jingyi"	0.0560628
Sautin	0.0559189
TVM	0.0554058
"Inger Miller"	0.0550711
"Elvis Stojko"	0.0549049
"Bjarte Engen Vik"	0.0539493
Adkins	0.0537954
"Vanessa Atler"	0.0533158
"Deborah Compagnoni"	0.0532667
"Thomas Stangassinger"	0.0532436
"Irina Privalova"	0.0532164
"Maria Butyrskaya"	0.0530565
"Bobby Rahal"	0.0523717
"Mike Skinner"	0.0520725
"Carlos Moya"	0.0517933
"Allen Johnson"	0.051645
Cipollini	0.0514693
"Iwan Thomas"	0.0513437
Cofidis	0.05123
Villeneuve	0.0511445
"Jorge Chavez"	0.0511047
"Wang Nan"	0.0510343
"Heinz-Harald Frentzen"	0.0509574
"Cathy Freeman"	0.0508315
"Dale Earnhardt Jr."	0.0506189
"Renate Goetschl"	0.0503852
"Hicham El Guerrouj"	0.0500556
"Donovan Bailey"	0.0500531
"Alex Zanardi"	0.0500152
"Derrick Adkins"	0.0499591
Ottey	0.0498973
Telekom	0.0496363
"Xiong Ni"	0.049119
Bern	0.0490685
Lugano	0.0489415
"John Godina"	0.048864
"Simona Amanar"	0.048862
"Ivan Pedroso"	0.0487959
"Dan O'Brien"	0.0487824
"Li Xuemei"	0.0487253
"Li Jiajun"	0.0486513
"Michael Doohan"	0.0485718
Franchitti	0.048542
"Ong Ewe Hock"	0.0485272
Coulthard	0.0484028
Lucerne	0.0481526
Pippig	0.0480913
"Liu Limin"	0.0480382
Heyns	0.0478732
"Pat Day"	0.0478588
"Haile Gebrselassie"	0.0478271
"Kostya Tszyu"	0.0478129
"Didier Auriol"	0.0478049
"Scott Goodyear"	0.0476316
Bartoli	0.0476086
"Fu Mingxia"	0.0475333
"Koji Ito"	0.0475304
"Wang Yifu"	0.0475192
"Bruny Surin"	0.0474856
"Alex Solis"	0.0472711
Schmitt	0.0468969
"Alexandra Meissnitzer"	0.0468297
Novartis	0.0466129
Tomba	0.0463769
"Seibu Lions"	0.0462806
"Marie-Jose Perec"	0.0462525
"Alberto Tomba"	0.0462104
Shuwei	0.0461712
"Conchita Martinez"	0.0460551
"Claudia Poll"	0.046019
Karlsson	0.0456152
"Ge Fei"	0.0455056
"Bobby Labonte"	0.0453221
"Jeremy Wotherspoon"	0.0452349
"Rashid Sidek"	0.0450916
"Jeff Ward"	0.0449745
"Pat Rafter"	0.0448592
"Greg Ray"	0.0448118
"Roy Jones Jr."	0.0448105
"Doug Walker"	0.0447801
"Susie O'Neill"	0.0447675
Loroupe	0.0446358
"Arantxa Sanchez-Vicario"	0.0445981
"Ye Zhaoying"	0.0444156
"Gary Stevens"	0.0443939
"Richard Krajicek"	0.0442462
Hickman	0.0442407
"Jansher Khan"	0.0442135
"Jeremy Mayfield"	0.0441972
"Todd Eldredge"	0.0441822
"Alexander Popov"	0.0440276
))
(Alexander (desc 18732.7) (sims
"Lamar Alexander"	0.146009
Quayle	0.14065
Bauer	0.126052
Forbes	0.121628
DOLE	0.114549
Keyes	0.112727
"Steve Forbes"	0.106604
"Gary Bauer"	0.103499
"Elizabeth Dole"	0.102495
Buchanan	0.101974
"Alan Keyes"	0.0973324
Jeb	0.0909735
Bradley	0.0898899
"George W."	0.08892
Ashcroft	0.0883876
McCain	0.0863869
James	0.0860638
"Dan Quayle"	0.085832
Bush	0.0855209
Kasich	0.084563
Hagelin	0.0817852
"John Kasich"	0.0814163
Nader	0.0799845
"John McCain"	0.0791672
"George W. Bush"	0.0790922
Thomas	0.0778955
"Bob Dole"	0.077507
Andrew	0.0772106
Davis	0.076788
"George Bush"	0.0762791
gore	0.0757358
Cheney	0.0748598
Anthony	0.0747516
smith	0.0745926
"Bill Bradley"	0.074335
Andrei	0.0742539
Manuel	0.0739717
"Pat Buchanan"	0.0738944
Scott	0.0738003
Edwards	0.0737286
Cellucci	0.0734422
Kerry	0.0726326
Engler	0.072631
"Jeb Bush"	0.072409
Ryan	0.0719528
Perot	0.0719147
Samuel	0.0719079
Owens	0.0716565
Paul	0.0716426
Evans	0.07153
Francis	0.0713722
Joshua	0.0713339
Madrazo	0.0710588
Craig	0.0709025
Walter	0.0705399
Carl	0.0702819
Henry	0.0701344
Barry	0.0698345
Mauro	0.0698084
Taft	0.0696314
John	0.0695855
Ferraro	0.0695682
Pataki	0.0694738
Wilson	0.0693291
Howard	0.0692339
Labastida	0.0690342
Ronald	0.068859
Wallace	0.0687182
Raymond	0.0686534
Giuliani	0.0685607
Robertson	0.0685317
Michael	0.0684395
douglas	0.0681879
matt	0.0681405
Daniel	0.0680865
Florio	0.0680036
Richardson	0.0678978
"Michael Dukakis"	0.0676961
Edward	0.06769
Albert	0.0675786
Kemp	0.067518
Ferguson	0.0674559
Barnes	0.0673976
Allen	0.0673132
Matthew	0.0670173
Charles	0.0669481
Richard	0.0668792
"Bob Smith"	0.0667758
Arias	0.0666985
Schroeder	0.0665821
Burke	0.0665218
Ventura	0.0663121
Patrick	0.0662998
Schumer	0.0660624
Jackson	0.0658029
Jonathan	0.06576
Gramm	0.0657076
Jacob	0.065648
Thompson	0.0656204
Simpson	0.0655625
Daley	0.0655452
Tim	0.0654326
Johnson	0.0652729
tom	0.065268
Nelson	0.0651367
Terry	0.0649759
Mandela	0.0649635
Jim	0.0649192
Carnahan	0.0649153
Philip	0.0648557
Frank	0.0647511
Carey	0.064702
Kim	0.0646943
Robert	0.0646749
Casey	0.0646683
Gomez	0.0646447
Lee	0.0643804
Tyler	0.0643624
Ali	0.0643548
bullock	0.0641686
martin	0.0641526
Joseph	0.063991
Tomjanovich	0.0639823
Powell	0.0639706
Carroll	0.063819
Chen	0.0637228
O'Connor	0.0636935
"Al Gore"	0.063512
collins	0.0631257
"Ross Perot"	0.0630958
Laura	0.0629791
Hoffa	0.0629485
Jones	0.0628866
Kevin	0.062785
George	0.0627707
Daniels	0.0627691
Gerald	0.0627515
Taylor	0.0625274
Brian	0.0624695
perry	0.062457
William	0.0624295
Steve	0.062429
Zachary	0.0622768
Spitzer	0.0622238
Rowland	0.0622059
Evan	0.0621931
Riley	0.0621116
"Orrin Hatch"	0.0618307
Phillip	0.0617607
Ramon	0.0616252
Bartlett	0.0615995
she	0.0615772
Torricelli	0.0613244
"Pete Wilson"	0.0613009
Simon	0.0612639
Lieberman	0.0612214
Corzine	0.0612157
"Ralph Nader"	0.061213
Whitman	0.0611951
Rogers	0.0611916
Nicholas	0.0609906
Murray	0.0609639
Rodriguez	0.0609257
Steven	0.0608747
Anderson	0.0607976
"Jack Kemp"	0.0606508
Hess	0.0605961
Richards	0.0605065
Peter	0.0604481
Armstrong	0.0603849
Livingston	0.0603268
Carter	0.0602353
Cuomo	0.0602326
Stephen	0.0602062
David	0.0601922
Mills	0.0601133
Christopher	0.0600688
Levin	0.060046
Sam	0.0598933
Schwartz	0.0597761
Lamar	0.0597398
Morris	0.0597118
Kennedy	0.0596538
Snyder	0.0595047
Justin	0.0594868
Chris	0.0594399
Hodges	0.0593215
Alex	0.0593201
Feinstein	0.0592177
Alan	0.0591593
Sharpton	0.0591274
Harrington	0.0591039
Ammiano	0.0590877
Cardenas	0.0590545
fisher	0.0589993
Ivan	0.0589963
Jason	0.0589836
Dixon	0.0588664
Miller	0.0588404
Clark	0.0587562
))
("Alexander Hamilton" (desc 2145.92) (sims
"James Madison"	0.221737
"John Adams"	0.203947
"Thomas Jefferson"	0.197039
"Benjamin Franklin"	0.182341
"Franklin Delano Roosevelt"	0.139355
"George Washington"	0.130769
"Ulysses S. Grant"	0.12632
"John Quincy Adams"	0.117067
"Theodore Roosevelt"	0.108461
"Donna Shalala"	0.105593
"Abraham Lincoln"	0.103497
"Andrew Jackson"	0.0941013
"Winston Churchill"	0.0885363
"Huang Ju"	0.0794788
"Teddy Roosevelt"	0.0779691
"Franklin Roosevelt"	0.0776781
"Orlando Mercado"	0.0751089
"Franklin D. Roosevelt"	0.0731739
"Mike Espy"	0.0701964
Allchin	0.0693173
"Jia Qinglin"	0.0688522
"Alexis Herman"	0.0675413
"Andrew Cuomo"	0.066502
"Thomas Edison"	0.0651223
"robbery suspect"	0.0650371
Chappell	0.0645075
"Frederick Douglass"	0.0637278
Heyward	0.063229
Greenwald	0.0631606
Maritz	0.061802
"Mikhail Kasyanov"	0.061618
"William Bennett"	0.0615927
"Khin Nyunt"	0.0609032
"Sally Hemings"	0.0595191
Herrera	0.0592319
"Anson Chan"	0.0591205
"Stuart Eizenstat"	0.0586909
"Robert E. Rubin"	0.0577508
"George Robertson"	0.0577386
Blazevic	0.0576672
"Robert Frost"	0.0573122
"Robert Rubin"	0.0571732
"founding father"	0.0569415
Brittan	0.0567208
Wilkerson	0.0565775
Verney	0.0565749
Jorgensen	0.0565219
"Martin Luther King Jr."	0.0563639
"Robert Reich"	0.0563133
Gardiner	0.0562426
Aoki	0.0558922
"Wlodzimierz Cimoszewicz"	0.0556674
Mortimer	0.0556188
Aristotle	0.0553354
Wenger	0.0552899
"Henry Cisneros"	0.0552729
McGuinness	0.0550692
Yastrzhembsky	0.0550243
Carlin	0.054829
"Chris Smith"	0.0545656
Puzo	0.054415
"George Bernard Shaw"	0.0542562
"John F. Kennedy"	0.0540263
Rodionov	0.0539047
"Tin Oo"	0.05384
"Albert Einstein"	0.053817
Ritter	0.0533993
Kasoulides	0.0533825
"Patrick Dorismond"	0.0532751
Jayakumar	0.0531791
"Michael Portillo"	0.0531522
Yoakam	0.0531203
"Rodney Slater"	0.0528522
Strauss-Kahn	0.0527478
Alarcon	0.0523371
Stephanopoulos	0.0522733
"Philip Glass"	0.0521297
"George Will"	0.0520624
"Peter Mandelson"	0.0518605
"Dwight Eisenhower"	0.0517942
"Lawrence Summers"	0.0510489
Merritt	0.0509267
Chai	0.0507853
Ruehe	0.0506073
"William Daley"	0.0505096
"Bruce Babbitt"	0.0504857
"Robert E. Lee"	0.0503668
"financial officer"	0.0501453
Venables	0.0496945
Kasyanov	0.0496848
"Ron Brown"	0.0495959
"Michael Heseltine"	0.049001
Julius	0.0489647
"Bill Richardson"	0.0489049
"Mo Mowlam"	0.0489033
Eichmann	0.0487648
Schmalensee	0.0482199
Goff	0.0480794
Tarawneh	0.0480297
Kipketer	0.0480184
"Jerry Garcia"	0.0479734
Singson	0.0479677
Maharaj	0.0479364
"Dan Glickman"	0.0479197
Dowd	0.0478504
Flanagan	0.0477114
"Mark Twain"	0.0476459
Ziegler	0.0475072
"Ricardo Alarcon"	0.047477
Khalil	0.0474068
"administration official"	0.0473907
Jia	0.0473841
Shalala	0.0473338
Whyte	0.0472422
Huang	0.047069
Cornwell	0.0469873
"Robin Cook"	0.0469169
Thayer	0.0468207
"Edmund Morris"	0.0466814
Wilkinson	0.0466792
Benedetti	0.0465722
Mandelson	0.0465172
Rudman	0.0464214
Tanaka	0.0464095
Kohn	0.0461852
"Tyra Banks"	0.0461737
"Saeed Hajjarian"	0.0461281
policewoman	0.0461057
"Martin Frankel"	0.0460492
Neel	0.0455831
Blackmun	0.0454837
Buthelezi	0.0454813
Boutros-Ghali	0.0453762
"Fehmi Agani"	0.045375
"Andrew Johnson"	0.0453676
Aquino	0.0453533
"Bashkim Fino"	0.0453479
"Betty Currie"	0.045105
Margolis	0.045093
Sahnoun	0.0450889
Klemperer	0.0449975
"John Prescott"	0.0449042
Ballmer	0.0445391
"Scott Ritter"	0.0445309
"Yuri Maslyukov"	0.0444735
franklin	0.0444185
Saramago	0.0442557
Malu	0.0442298
guo	0.0441968
Hou	0.0440185
Reinhardt	0.0440147
Zadornov	0.0439854
"Simon Bolivar"	0.0439477
"Herbert Hoover"	0.0439462
Messina	0.0439461
Silverstein	0.0437763
Naumann	0.0436841
Sautin	0.0435398
Vasile	0.0433582
Ikimi	0.0433121
first-grader	0.0432672
Ileto	0.043242
Wilhelm	0.0432384
Bhattarai	0.0431008
"Marzuki Darusman"	0.0430073
"Barnett Slepian"	0.0429244
Harmoko	0.0428207
Demaci	0.0427816
Rubenstein	0.0427171
Iger	0.0427135
"Richard Cheney"	0.0426291
Mukora	0.0425888
romano	0.0424828
Alatas	0.0424428
Middleton	0.0424264
passerby	0.0423807
Fuente	0.0423414
Tsvangirai	0.0423129
"William Perry"	0.0422384
Musa	0.042223
Tilberis	0.0420349
"plantation owner"	0.0420227
"Harry Truman"	0.0420172
McGowan	0.0419641
"Robert F. Kennedy"	0.0418888
Nemtsov	0.041811
Rivlin	0.0417347
"Boris Nemtsov"	0.0417209
"Bob Jones"	0.0417092
"Walt Whitman"	0.0417014
Freeh	0.0416815
Lari	0.0415438
Cline	0.0415205
"President of the United States"	0.0415002
Bulatovic	0.0414227
Montiel	0.0413862
Ickes	0.0413426
Huffington	0.041248
Connor	0.0411149
Allard	0.040977
))
("Alexander Lebed" (desc 4165.28) (sims
"Lino Oviedo"	0.210915
"Vladimiro Montesinos"	0.204131
"Danny Yatom"	0.182622
"Renato Ruggiero"	0.169466
"John Shalikashvili"	0.168103
"Anthony Lake"	0.165441
"Pervaiz Musharraf"	0.163092
Lebed	0.157656
"Barry McCaffrey"	0.155045
"Joel Klein"	0.154394
Sutiyoso	0.151435
"Brent Scowcroft"	0.14982
"Nur Misuari"	0.148151
"Boris Fyodorov"	0.144999
"Samuel Berger"	0.143784
"Khin Nyunt"	0.143239
"Ansumane Mane"	0.142912
Wiranto	0.14107
"Ray Evernham"	0.139739
"Dai Xianglong"	0.135282
"Zbigniew Brzezinski"	0.132871
"William Weld"	0.132765
"Vladimir Yakovlev"	0.132124
"Anatoly Chubais"	0.130671
"George Robertson"	0.128092
"Boris Nemtsov"	0.127948
"Shaul Mofaz"	0.124967
"Jia Qinglin"	0.124198
"Yuri Luzhkov"	0.1225
"Wim Duisenberg"	0.122152
"Tin Oo"	0.121891
"Jeanne Shaheen"	0.121174
"Oladipo Diya"	0.120185
"Ratko Mladic"	0.119774
"Lamar Alexander"	0.11975
"Sergei Yastrzhembsky"	0.118837
"Roy Romer"	0.118192
"Maung Aye"	0.118186
"George E. Pataki"	0.117739
"Pervez Musharraf"	0.117355
"Yegor Stroyev"	0.117181
"Xiong Guangkai"	0.117157
"Grigory Yavlinsky"	0.116853
"Sandy Berger"	0.116514
"Mike Moore"	0.116244
"Gro Harlem Brundtland"	0.116194
"Olusegun Obasanjo"	0.116043
"Robert E. Rubin"	0.11579
"Ariel Sharon"	0.115661
"Vladimir Zhirinovsky"	0.115336
"Barry R. McCaffrey"	0.113829
"James Soong"	0.113662
"Klaus Naumann"	0.113632
"Wesley Clark"	0.113402
"Bruce Teitelbaum"	0.112514
"Yuri Maslyukov"	0.111656
"Norman Schwarzkopf"	0.110756
"Yukio Hatoyama"	0.109951
"Mike Leavitt"	0.109656
"Jim Guy Tucker"	0.109437
"Scott Harshbarger"	0.109241
"Javier Solana"	0.108566
"Jim Florio"	0.108544
"Robert Guei"	0.108356
Misuari	0.108125
"Parris Glendening"	0.106682
"Richard Blumenthal"	0.10503
"Yevgeny Primakov"	0.10394
"Viktor Chernomyrdin"	0.103639
"Michel Camdessus"	0.103617
"Henry Cisneros"	0.103604
"Gary Locke"	0.101196
"Lawton Chiles"	0.100718
"Tom Ridge"	0.100696
"Prabowo Subianto"	0.0996326
"Anson Chan"	0.0994714
"Donna Shalala"	0.0994099
"Rodney Slater"	0.0993704
"Pete Wilson"	0.0989943
"David Bar-Illan"	0.0982392
"Abdulsalam Abubakar"	0.097223
"Joao Havelange"	0.097161
"Charles LaBella"	0.0967237
"Sergei Stepashin"	0.096475
"Ronnie Flanagan"	0.0963371
el-Baz	0.0952354
"Xanana Gusmao"	0.0951588
"Sepp Blatter"	0.0948315
"Christine Todd Whitman"	0.0947597
"Victor Chernomyrdin"	0.0946488
"Fob James"	0.0945965
"George Stephanopoulos"	0.0944281
"Robin Cook"	0.0941766
"Roy Barnes"	0.0940505
"Koichi Kato"	0.093797
"Jerry Brown"	0.0934527
"Orlando Mercado"	0.0932182
"David Beasley"	0.0930971
"Huang Ju"	0.0929478
"Rahm Emanuel"	0.0923644
"Igor Sergeyev"	0.0918282
"Aslan Maskhadov"	0.0916474
"Condoleezza Rice"	0.09161
Musharraf	0.0912505
"Salim Saleh"	0.0909927
"Peter Mandelson"	0.0907289
"Jim Hodges"	0.0905249
"Zell Miller"	0.0901081
"Ahmed Tibi"	0.0900093
"Henry H. Shelton"	0.0897393
"Mary Robinson"	0.0895778
"Sergei Kiriyenko"	0.0892421
"Mikhail Kasyanov"	0.089199
"Harold Ickes"	0.0884838
"Andrew Cuomo"	0.0882292
"Buddy MacKay"	0.0879808
"Bruce Babbitt"	0.0877691
"John G. Rowland"	0.0874306
"Betsy McCaughey Ross"	0.0866414
"Gulbuddin Hekmatyar"	0.0864909
"Colin Powell"	0.0864883
"Paul Begala"	0.0860761
"Bill Owens"	0.0860317
"Michael Portillo"	0.0859751
"Mario Cuomo"	0.0857729
"Chris Patten"	0.0857496
"Betty Currie"	0.0857019
"Bernie Ecclestone"	0.0851517
"Lowell Weicker"	0.0849209
"Yitzhak Molcho"	0.0848018
"Abdulsalami Abubakar"	0.08449
"Gray Davis"	0.084394
prefect	0.0842231
"George Ryan"	0.083816
"Paul Cellucci"	0.0837256
"Wolfgang Schaeuble"	0.0834591
"William Perry"	0.0834576
"Fehmi Agani"	0.0827819
"Boutros Boutros-Ghali"	0.0826771
"Ramsey Clark"	0.0821907
"Gennady Zyuganov"	0.081998
"Fu Quanyou"	0.0816806
"Robert Rubin"	0.0816045
"Rolf Ekeus"	0.0815746
"Salim Ahmed Salim"	0.0814789
"Chavalit Yongchaiyudh"	0.0812262
"Esmat Abdel Meguid"	0.0809791
Kulikov	0.0803595
Engler	0.0803221
"Elizabeth Dole"	0.0801091
"Fayez Tarawneh"	0.0797954
"Bill Richardson"	0.0797719
"Lawrence Summers"	0.0796973
"Dore Gold"	0.0793418
"Than Shwe"	0.0793002
Abubakar	0.0789995
Voinovich	0.0789177
"William Bennett"	0.0787905
"Vladimir Putin"	0.0787115
"Jane Hull"	0.0786756
"Michael Dukakis"	0.0785811
"Begum Khaleda Zia"	0.0784291
"Bill Lann Lee"	0.0783566
"Omar Torrijos"	0.0781713
"Qin Huasun"	0.0779091
"Charles de Gaulle"	0.0778026
"Amnuay Virawan"	0.0772709
"Jim Gilmore"	0.0771683
"Richie Phillips"	0.0768418
"Mo Mowlam"	0.0767237
"Tansu Ciller"	0.0766016
"Manuel Noriega"	0.0764432
"Jeb Bush"	0.0764357
"David Duke"	0.0763602
"Daim Zainuddin"	0.0763392
"Bruce Lindsey"	0.0762566
"Eric Holder"	0.0762124
"Ann Richards"	0.0761691
"Robert Aventajado"	0.0760779
"Sidney Blumenthal"	0.0759385
Ershad	0.0759219
Ghalib	0.0758086
"Gene Sperling"	0.0758
"Jesse Ventura"	0.0756844
"Henry Shelton"	0.0755157
"Cesar Gaviria"	0.074725
Admiral	0.074699
"Joerg Haider"	0.0745892
"Bernard Kouchner"	0.0745389
"Joseph Ralston"	0.0744298
"Azem Hajdari"	0.074349
"William Daley"	0.0736876
"John Engler"	0.0735265
"Tom Vilsack"	0.0735134
"Dan Lungren"	0.0731955
Vasile	0.0730437
"Rashid Dostum"	0.0729327
Verney	0.0726839
"Warren Christopher"	0.0726428
"Yitzhak Mordechai"	0.072549
))
("Alexander Lukashenko" (desc 1446.04) (sims
"Fernando Henrique Cardoso"	0.25199
"Carlos Menem"	0.215336
"Pasteur Bizimungu"	0.206873
"Ernesto Zedillo"	0.204359
"Jamil Mahuad"	0.189466
"Hosni Mubarak"	0.188057
"Jacques Chirac"	0.186806
"Martti Ahtisaari"	0.185322
"Kim Dae Jung"	0.184375
"Franjo Tudjman"	0.183186
"Hafez Assad"	0.180396
"Alberto Fujimori"	0.17792
"Andres Pastrana"	0.176615
"Joaquim Chissano"	0.174276
"Vaclav Havel"	0.172399
"Robert Mugabe"	0.167815
"Joseph Estrada"	0.165277
"Lamberto Dini"	0.164016
"Aslan Maskhadov"	0.160688
"Thabo Mbeki"	0.14385
"Klaus Kinkel"	0.143796
"Yoweri Museveni"	0.143675
"Igor Sergeyev"	0.142496
"Mohammad Khatami"	0.141662
"Suleyman Demirel"	0.139668
"Olusegun Obasanjo"	0.133981
"Sartaj Aziz"	0.133924
"Abdullah Ahmad Badawi"	0.132581
"Abdurrahman Wahid"	0.131735
"Kamal Kharrazi"	0.131616
"Kim Il Sung"	0.129234
"Sali Berisha"	0.128444
"Wang Daohan"	0.127822
"Mikulas Dzurinda"	0.125464
"Antonio Guterres"	0.125213
"Igor Ivanov"	0.125095
"Ivan Kostov"	0.124479
"Harry S. Truman"	0.124441
"Sam Nujoma"	0.12344
"Goran Persson"	0.121634
"John Bruton"	0.121162
"Benjamin Mkapa"	0.121083
"Paul Kagame"	0.120464
"Paavo Lipponen"	0.120072
"Laurent Kabila"	0.118602
Lukashenko	0.117845
"Charles Taylor"	0.113036
"I.K Gujral"	0.11289
"Hugo Chavez"	0.111499
"Tang Jiaxuan"	0.110907
"Ismail Cem"	0.109329
"Omar Torrijos"	0.107824
"Boris Yeltsin"	0.107797
"Pierre Buyoya"	0.10779
"Radu Vasile"	0.107073
"B.J Habibie"	0.107068
"David Levy"	0.106666
"Girija Prasad Koirala"	0.106388
"Amr Moussa"	0.106243
"Gennady Zyuganov"	0.104824
"Mikhail Gorbachev"	0.102417
"Ketumile Masire"	0.100821
"Slobodan Milosevic"	0.0997091
"Alija Izetbegovic"	0.099506
"Koo Chen-fu"	0.0992726
"Wim Kok"	0.0986242
"Lech Walesa"	0.0975488
"Inder Kumar Gujral"	0.0967525
"Vladimir Putin"	0.0966991
"Hubert Vedrine"	0.095616
Dae-jung	0.0940544
"Fidel Castro"	0.0940464
"Mobutu Sese Seko"	0.0931272
"Xanana Gusmao"	0.0930706
"Jiang Zemin"	0.0927542
Eduardo	0.0920494
"Joschka Fischer"	0.0916851
"Sepp Blatter"	0.0910087
"Jaswant Singh"	0.0902722
"Jerzy Buzek"	0.0901478
"Vaclav Klaus"	0.0899764
"Vo Van Kiet"	0.0899689
"John Sweeney"	0.0899182
Al-Faisal	0.0886573
"Zhu Rongji"	0.0877349
"Wang Yeping"	0.0877165
"Juan Antonio Samaranch"	0.0872257
"Sani Abacha"	0.0871768
"Vojislav Kostunica"	0.0871307
"Moammar Gadhafi"	0.086724
"Bertie Ahern"	0.0864434
"Romano Prodi"	0.0856408
"Bashkim Fino"	0.0851371
"Valery Pustovoitenko"	0.0851096
"Steve Ballmer"	0.0830971
"Wim Duisenberg"	0.082869
"Atal Behari Vajpayee"	0.0826434
"Robin Cook"	0.0822092
"Prince Saud Al-Faisal"	0.081541
"Dave Checketts"	0.0813917
al-Bashir	0.0810929
al-Shara	0.0810413
"Viktor Chernomyrdin"	0.0801793
"Atef Obeid"	0.0798374
"Mohamed Siad Barre"	0.0796579
"Necmettin Erbakan"	0.079573
"Yasser Abed Rabbo"	0.0788665
"Frederick Sumaye"	0.0784362
"Mesut Yilmaz"	0.0783168
"Kim Jong Il"	0.0780229
"Jose Maria Aznar"	0.0776177
Bashir	0.0766698
Klerk	0.0766255
"Wlodzimierz Cimoszewicz"	0.0761927
"Momir Bulatovic"	0.0761417
"Atal Bihari Vajpayee"	0.0760766
"Lokendra Bahadur Chand"	0.0759745
"Tom Welch"	0.0753062
"John Quincy Adams"	0.075211
Sukarno	0.0747961
"James P. Hoffa"	0.0746663
"Ernie Grunfeld"	0.0739903
"John Major"	0.0736552
"Deve Gowda"	0.0735357
"Yoshiro Mori"	0.0734761
"Jacques Santer"	0.0733619
"Yitzhak Mordechai"	0.0731617
Scalfaro	0.0729806
el-Ganzouri	0.0729256
"Gerald Ford"	0.0728606
"Qian Qichen"	0.0727069
"Chi Haotian"	0.0724146
"Ariel Sharon"	0.0719199
"Oded Eran"	0.0716931
"Chuan Leekpai"	0.0714795
"Nelson Mandela"	0.0705099
"Victor Chernomyrdin"	0.0704084
el-Bashir	0.070336
al-Khatib	0.0702285
"Rafik Hariri"	0.0699893
"Pandeli Majko"	0.0692007
"Milos Zeman"	0.0691748
"Ricardo Alarcon"	0.0689414
"Orlando Mercado"	0.0688496
"Phan Van Khai"	0.0686978
Isaias	0.0686569
"Goh Chok Tong"	0.0685965
"Milorad Dodik"	0.0684659
"P.V Narasimha Rao"	0.0678166
"Graca Machel"	0.0676573
"Richard Gephardt"	0.0673208
"Alain Juppe"	0.0673206
"Sonia Gandhi"	0.0666999
"Lyndon B. Johnson"	0.066576
Karimov	0.0662123
"Bulent Ecevit"	0.0661985
"Bashar Assad"	0.0661393
"Ung Huot"	0.0660171
"Julius Nyerere"	0.0659995
al-Sharaa	0.0653825
"Gerry Adams"	0.0649601
"Costas Simitis"	0.0648836
"Vladimir Yakovlev"	0.0648175
"Biljana Plavsic"	0.0645121
"Salim Hoss"	0.0644548
"Tansu Ciller"	0.0641464
"Idi Amin"	0.0627822
"Wolfgang Schuessel"	0.0626891
"Ferdinand Marcos"	0.0626402
"Krishna Prasad Bhattarai"	0.0626272
"Strobe Talbott"	0.0623541
"Neil Smith"	0.0622741
"Benazir Bhutto"	0.0619246
Bouteflika	0.0619083
Frei	0.0616481
"Jeremy Greenstock"	0.0603473
"Mel Karmazin"	0.0603064
Phieu	0.0602563
Niyazov	0.0601942
Kwasniewski	0.0600119
"Radovan Karadzic"	0.0595059
"Shimon Peres"	0.0594935
"Massimo D'Alema"	0.0593262
"De Klerk"	0.0589657
"John Adams"	0.0588831
Tae-woo	0.0586318
Kagame	0.0581031
"Yasser Arafat"	0.0580627
Narayanan	0.057912
"Jean Chretien"	0.0578063
"Ibrahim Rugova"	0.0576491
Bizimungu	0.0576195
"Nikola Poplasen"	0.0567455
"Prime Minister Kamal El-Ganzouri"	0.0567245
"Cyril Ramaphosa"	0.0566054
PDVSA	0.0564539
"Foday Sankoh"	0.0563575
"Augusto Pinochet"	0.0559309
"William Hague"	0.0555785
Nujoma	0.0552336
))
("Alexander McQueen" (desc 2011.86) (sims
"John Bartlett"	0.267921
"Miuccia Prada"	0.189994
"Michael Kors"	0.165428
"Karl Lagerfeld"	0.163961
"Betsey Johnson"	0.155696
"Marc Jacobs"	0.144655
"Tom Ford"	0.134001
"Donatella Versace"	0.117402
"Christian Lacroix"	0.112446
"Helmut Lang"	0.104587
"John Galliano"	0.102857
Renta	0.100261
"Tommy Hilfiger"	0.0992552
"Gianni Versace"	0.0971518
"Calvin Klein"	0.0955279
"Giorgio Armani"	0.0923893
"Donna Karan"	0.0888788
"Isaac Mizrahi"	0.0855907
"Dolce &AMP; Gabbana"	0.0831487
Valentino	0.0741717
Armani	0.0736229
Gaultier	0.0718037
Chanel	0.0706734
"Bill Blass"	0.0699661
"Ralph Lauren"	0.0683892
Karan	0.0647693
"Elizabeth Hurley"	0.0631387
Difrancesco	0.0628695
"Jil Sander"	0.060422
Lagerfeld	0.0564616
"Yves Saint Laurent"	0.0562139
Galliano	0.0560543
Mizrahi	0.0548795
Yamamoto	0.0542431
"David Irving"	0.0524521
"Costume Institute"	0.0517222
Kimbell	0.0517088
Lancome	0.0501527
Streisand	0.0498589
Limbaugh	0.0489569
HILFIGER	0.0484577
Moma	0.0484262
"Christian Dior"	0.0471258
HERMES	0.0468503
"New York Public Library"	0.0448715
Dubus	0.0445978
Groening	0.0437171
coastguard	0.0425874
McQueen	0.0415934
"Princess Anne"	0.0413555
Herrera	0.0413259
"Saint Laurent"	0.0402808
Celine	0.0402558
Kilborn	0.0400184
))
("Alexander Mogilny" (desc 1746.29) (sims
"Scott Gomez"	0.287556
"Randy McKay"	0.276853
"Scott Niedermayer"	0.238735
"Dave Andreychuk"	0.235528
"Patrik Elias"	0.227309
"Jason Arnott"	0.22219
"Jay Pandolfo"	0.210137
"Brian Rolston"	0.190069
"Claude Lemieux"	0.183696
"Petr Sykora"	0.182432
"Bobby Holik"	0.173858
"Theo Fleury"	0.15095
"ZIGMUND PALFFY"	0.148974
"Tony Amonte"	0.14889
"Pavol Demitra"	0.148546
"Ziggy Palffy"	0.146922
"Pavel Bure"	0.145348
"Donald Brashear"	0.144403
"Lyle Odelein"	0.135983
"Matthew Barnaby"	0.133162
"Grant Marshall"	0.133138
"Owen Nolan"	0.126383
"Dallas Drake"	0.125677
"Pat Verbeek"	0.125588
"Kirk Muller"	0.124327
"Nelson Emerson"	0.123174
"Donald Audette"	0.121844
"Bill Guerin"	0.120474
"Todd Harvey"	0.118397
"Blake Sloan"	0.11825
"Steve Thomas"	0.1182
"Milan Hejduk"	0.117639
"Brett Hull"	0.116471
"Adam Deadmarsh"	0.115874
"Dixon Ward"	0.115334
"Joe Juneau"	0.115005
"Shane Doan"	0.113956
"Greg Adams"	0.11078
"Jamie Langenbrunner"	0.11001
"Teemu Selanne"	0.109708
"Paul Kariya"	0.109344
"Rick Tocchet"	0.108253
"John Madden"	0.107554
"Pierre Turgeon"	0.107313
"Darren McCarty"	0.105199
"Jere Lehtinen"	0.103947
"Mike Keane"	0.102458
"Geoff Sanderson"	0.102434
"Vincent Damphousse"	0.102241
"Brenden Morrow"	0.102005
"Jarvis Turner"	0.101478
"Wendel Clark"	0.101292
"Scott Stevens"	0.100776
"Ante Razov"	0.0997892
"Glen Murray"	0.0990218
"Alexei Kovalev"	0.0986804
"Jaromir Jagr"	0.0978709
"Rob DiMaio"	0.0973412
"Benoit Hogue"	0.097237
"Mike Sullivan"	0.0971794
"Marc Overmars"	0.0971672
"Hu Weidong"	0.0958087
"Eddie House"	0.0957169
"Luis Hernandez"	0.0953535
"Scott Thornton"	0.0951939
"Predrag Mijatovic"	0.0947455
"Landon Wilson"	0.093649
"Donyell Marshall"	0.09281
"Jeff Friesen"	0.0924505
"Mark Messier"	0.0923146
"Dave Reid"	0.0906794
Rucchin	0.0903808
"Ken Daneyko"	0.0903146
"Eric Wynalda"	0.0900065
"Ken Belanger"	0.0881652
"Ted Donato"	0.0867434
"Brian Laudrup"	0.0866402
"Steve Heinze"	0.0858422
"Harry Kewell"	0.0855564
"Hao Haidong"	0.0853788
"Felix Potvin"	0.0851045
"Brendan Shanahan"	0.0848552
"Mark Recchi"	0.0847101
"Cliff Ronning"	0.0840809
"Peter Forsberg"	0.0832528
"Jamal Mashburn"	0.0828508
"Rebecca Lobo"	0.0825719
"Dejan Savicevic"	0.0818164
"Jason Kapono"	0.0815925
"Luc Robitaille"	0.0811993
"Keith Jones"	0.0811317
"Alen Boksic"	0.0809708
"Grant Fuhr"	0.0801218
"Joe Murphy"	0.0799487
"Craig Johnson"	0.0799079
"Ian Wright"	0.079877
"Stern John"	0.0794038
"Anson Carter"	0.0785271
"Don Maclean"	0.0783573
"Ryan Giggs"	0.0781962
Elias	0.0780982
"Raul Diaz Arce"	0.0775513
"Gary Roberts"	0.0774018
"Matt Johnson"	0.0769435
"Vladimir Tsyplakov"	0.0767813
"Richard Jefferson"	0.0765459
"Grant Long"	0.0754682
"John LeClair"	0.0754609
Daigle	0.075049
"Joe Nieuwendyk"	0.0748306
"Sun Wen"	0.0747171
"Jason Allison"	0.0745726
"Fredrik Olausson"	0.0744311
Samuelsson	0.0744192
"Kenny Thomas"	0.0740965
"Steve Rucchin"	0.074036
"Doug Gilmour"	0.0738981
"Roy Lassiter"	0.0733533
"Sam Clancy"	0.0725247
"Lamond Murray"	0.0724641
"David Trezeguet"	0.0722691
"Wally Szczerbiak"	0.0722438
"Jeremy Roenick"	0.0719829
"Alexei Yashin"	0.0717408
"Brian Skrudland"	0.0717155
"Dmitri Khristich"	0.0714337
"Ulf Samuelsson"	0.0706479
"Gabe Muoneke"	0.0704322
"Valeri Kamensky"	0.0702421
"Brad Isbister"	0.0701353
"LaPhonso Ellis"	0.0700017
Jagr	0.0699755
"Juergen Klinsmann"	0.0699128
"Kenyon Martin"	0.0698908
Juninho	0.069847
"Dale Hunter"	0.0696252
"Jumaine Jones"	0.0687364
"Aaron Gavey"	0.0684749
"Sergei Fedorov"	0.0683227
"Corliss Williamson"	0.0682607
Robitaille	0.0680857
"George McCloud"	0.0677676
"DeLisha Milton"	0.0676591
"Alan Henderson"	0.067509
"Christophe Dugarry"	0.0674901
"Kendall Gill"	0.0673748
Recchi	0.0670229
"Sean Burke"	0.0669363
Asprilla	0.0662056
"Otis Thorpe"	0.066183
"Othella Harrington"	0.066061
"Matt Santangelo"	0.065849
"Cedric Ceballos"	0.0657061
"Matt Bullard"	0.065617
"Jayson Williams"	0.0654538
"Luis Figo"	0.0654109
"Keith Tkachuk"	0.0653382
"Antawn Jamison"	0.0652163
"Terry Cummings"	0.0650807
"P.J Axelsson"	0.0649211
"Faustino Asprilla"	0.0647763
"Chris Porter"	0.0647747
"Alexei Zhitnik"	0.0646986
"Carlos Hermosillo"	0.0644828
"Ulf Kirsten"	0.0643955
"Bryan Berard"	0.064381
"Brian McBride"	0.0640376
"Tony Hrkac"	0.0637009
Hollins	0.0636357
"Ronald de Boer"	0.0632959
"Guy Carbonneau"	0.0632501
"Tamika Catchings"	0.063157
"Dennis Bergkamp"	0.0628294
"Keith Van Horn"	0.0627982
"Vladimir Malakhov"	0.0626379
"Antonio Davis"	0.0625891
"Steve Shields"	0.062353
"Steve McManaman"	0.0623388
"Lee Nailon"	0.061922
"Chris Gatling"	0.0617231
"Danny Manning"	0.0615514
"Al MacInnis"	0.0613421
"Khodadad Azizi"	0.0612594
"Marcelo Salas"	0.0611623
"Kevin Willis"	0.0610469
"Mats Sundin"	0.060998
"Mike Miller"	0.0609385
"Ryan Kealy"	0.0606801
"Tony Massenburg"	0.0606192
"Morris Peterson"	0.0605304
"Thierry Henry"	0.0604523
"Jermaine O'Neal"	0.0604364
"Anthony Mason"	0.0600057
"Raef LaFrentz"	0.0599975
Alfredsson	0.0599101
"Mike Jones"	0.0597119
"Mike Modano"	0.0596107
"Ali Daei"	0.0594649
"Trajan Langdon"	0.0593046
Welton	0.0592494
))
("Alexander Popov" (desc 4249.26) (sims
"Denis Pankratov"	0.402043
"Le Jingyi"	0.291738
"Alexei Nemov"	0.283241
"Penny Heyns"	0.271576
"Svetlana Masterkova"	0.270197
"Kieren Perkins"	0.26597
"Susie O'Neill"	0.252136
"Irina Privalova"	0.247764
"Svetlana Khorkina"	0.244624
"Daniel Kowalski"	0.239266
"Samantha Riley"	0.232827
"Maria Butyrskaya"	0.231883
"Gary Hall"	0.227664
"Sandra Voelker"	0.227079
"Jenny Thompson"	0.223629
"Allen Johnson"	0.221432
"Ian Thorpe"	0.216453
"Amy van Dyken"	0.210227
"Deon Hemmings"	0.207937
"Michael Klim"	0.207209
"Michelle Smith"	0.205356
"Alexei Urmanov"	0.205007
"Grant Hackett"	0.204737
"Tom Dolan"	0.203964
"Marie-Jose Perec"	0.197232
"Claudia Poll"	0.195581
"Donovan Bailey"	0.195436
"Michael Johnson"	0.194241
"Koji Ito"	0.191987
"Maurice Greene"	0.187176
"Linford Christie"	0.185446
"Irina Slutskaya"	0.184375
"Anatoly Karpov"	0.183818
"Alexei Yagudin"	0.182554
"Wang Junxia"	0.182317
"Lenny Krayzelburg"	0.182179
"Frankie Fredericks"	0.178507
"Lin Li"	0.177493
"Hiroyasu Shimizu"	0.177471
"Gail Devers"	0.175838
"Alberto Tomba"	0.175558
"Garry Kasparov"	0.171835
"Fu Mingxia"	0.170104
"Gary Hall Jr."	0.169324
"Jackie Joyner-Kersee"	0.168814
"Liu Limin"	0.16879
"Pavel Tonkov"	0.167997
"Li Jiajun"	0.167733
"Derrick Adkins"	0.166583
"Noureddine Morceli"	0.165807
"Christine Arron"	0.163058
"Cathy Freeman"	0.158319
"Wu Yanyan"	0.158
"Ato Boldon"	0.156915
"Inge de Bruijn"	0.156179
"Elena Dementieva"	0.155777
"Li Xuemei"	0.152676
"Chen Lu"	0.151395
"Katja Seizinger"	0.151393
"Dan O'Brien"	0.150966
"Liu Guoliang"	0.150241
"Chen Yan"	0.149531
"Deng Yaping"	0.14667
"Wang Yifu"	0.146329
"Carl Lewis"	0.146215
"Marion Jones"	0.144368
"Dara Torres"	0.143489
"Elena Berezhnaya"	0.14325
"Michael Doohan"	0.142962
"John Godina"	0.141989
"Deborah Compagnoni"	0.141694
"Charles Austin"	0.141594
"Oksana Kazakova"	0.140226
"Felix Savon"	0.140131
"Paul Tergat"	0.139229
Hoogenband	0.138577
"Haile Gebrselassie"	0.138285
Devers	0.137932
"Merlene Ottey"	0.136094
"Chen Hua"	0.135658
"Susi Susanti"	0.135509
"Fatuma Roba"	0.134898
"Colin Jackson"	0.134845
"Michelle Kwan"	0.134817
"Maria Mutola"	0.133398
"Jean-Philippe Gatien"	0.133112
Shuwei	0.132799
"Stacy Dragila"	0.132605
"Tatiana Panova"	0.132226
"Picabo Street"	0.131123
"Pernilla Wiberg"	0.131081
"Dennis Mitchell"	0.131028
"Daniel Komen"	0.130683
"Katarina Witt"	0.129584
"Ge Fei"	0.128741
"Fiona May"	0.127506
"Heryanto Arbi"	0.126547
"Hermann Maier"	0.126465
"Heike Drechsler"	0.125915
"Florence Griffith Joyner"	0.125869
Klim	0.125008
"Blaine Wilson"	0.124848
"Kim Batten"	0.124266
"Javier Sotomayor"	0.124142
"Wang Tao"	0.123777
"Anjelika Krylova"	0.123698
"Yu Zhuocheng"	0.123633
"Bruny Surin"	0.120914
"Kong Linghui"	0.120455
"Jan-Ove Waldner"	0.120086
Zelezny	0.12001
"Brooke Bennett"	0.119939
"Moses Tanui"	0.117865
"Wilson Kipketer"	0.117698
"Jonathan Edwards"	0.117345
"Tegla Loroupe"	0.117075
Popov	0.11645
"Yevgeny Kafelnikov"	0.114085
Thorpe	0.113515
"Marat Safin"	0.113218
"Johan Museeuw"	0.112994
"Inger Miller"	0.112653
"Michael Schumacher"	0.112409
"Jacques Villeneuve"	0.111579
"Gianni Romme"	0.111447
"Doug Walker"	0.11131
"Elena Likhovtseva"	0.110106
"Max Biaggi"	0.110005
"Elvis Stojko"	0.109243
"Jon Drummond"	0.109146
"Hicham El Guerrouj"	0.109126
"Dong Jiong"	0.108921
"Miguel Indurain"	0.107883
"Jeremy Wotherspoon"	0.107201
"Chen Jing"	0.106792
"Marc Rosset"	0.106709
"Bjarte Engen Vik"	0.106262
"Ricky Subagja"	0.106236
"Sergei Bubka"	0.105119
"Chris Boardman"	0.105078
"Marina Anissina"	0.10484
"Buster Douglas"	0.104264
"Ivan Pedroso"	0.103918
"Tommi Makinen"	0.103621
"Thomas Stangassinger"	0.103454
"Susanthika Jayasinghe"	0.102383
"Eddie Cheever"	0.102215
"MIka Hakkinen"	0.102193
"Simona Amanar"	0.10207
"Khalid Khannouchi"	0.101912
"Yang Yang"	0.101648
"Michael Von Gruenigen"	0.101513
"Mark Crear"	0.101389
"Alex Zanardi"	0.101365
"Johnny Tapia"	0.101085
"David Reid"	0.100932
"Gunda Niemann-Stirnemann"	0.100893
"Rodney Eyles"	0.100743
"Todd Eldredge"	0.10063
"Tara Lipinski"	0.0998873
"Oksana Baiul"	0.0995157
"Xiong Ni"	0.0995099
"Rexy Mainaky"	0.0990979
"Wang Nan"	0.0985314
"Hilde Gerg"	0.0981565
"Jansher Khan"	0.0980479
"Randy Barnes"	0.0979116
"Guo Jingjing"	0.0959831
"Mario Cipollini"	0.0958338
"Angelo Taylor"	0.0950739
"Iwan Thomas"	0.0936215
"Erik Zabel"	0.0934519
"Boris Becker"	0.0921659
"Kinder Bologna"	0.0918728
"Colin McRae"	0.0915937
"Mia Audina"	0.0914847
"Martina Navratilova"	0.0914448
"Steve Backley"	0.0913112
Kipketer	0.0909462
Susanti	0.0907518
Krayzelburg	0.0900012
"Peter Rasmussen"	0.0897513
"Laurent Jalabert"	0.0889646
"Marco Pantani"	0.0884968
"Ye Zhaoying"	0.0882169
Khorkina	0.0881136
"Lasse Kjus"	0.0876791
"Russian Yevgeny Kafelnikov"	0.0874755
"C.J Hunter"	0.0870422
Sautin	0.0870324
"Thomas Muster"	0.0870129
"A.J Foyt"	0.0869278
"Dominique Moceanu"	0.0864457
"Abraham Olano"	0.0848935
Waldner	0.0844998
"Oliver McCall"	0.0842947
Maier	0.0842201
"Spartak Moscow"	0.0841888
kayaker	0.0839276
"Martin Schmitt"	0.0838982
))
("Alexander Shokhin" (desc 1271.14) (sims
"Boris Nemtsov"	0.32963
"Yossi Sarid"	0.295459
"John Prescott"	0.246045
"Vuk Draskovic"	0.245211
"Vojislav Seselj"	0.228176
"Yuri Maslyukov"	0.219896
"William Hague"	0.201462
"Aryeh Deri"	0.197972
"Mikulas Dzurinda"	0.191711
"Boris Fyodorov"	0.18803
"Wolfgang Schaeuble"	0.185229
"Massimo D'Alema"	0.184405
"Grigory Yavlinsky"	0.184381
"Supachai Panitchpakdi"	0.18385
"Faisal Husseini"	0.181075
"Mikhail Kasyanov"	0.17214
Harmoko	0.16963
"Anatoly Chubais"	0.169165
"Viktor Orban"	0.16903
"Martin Lee"	0.167519
"Xanana Gusmao"	0.164741
"Ariel Sharon"	0.15938
"Lee Hsien Loong"	0.156114
"Haim Ramon"	0.155361
"Tariq Aziz"	0.155294
"Ivan Kostov"	0.155137
Ashrawi	0.151891
"Laurent Fabius"	0.150385
"Oskar Lafontaine"	0.148911
"Yossi Beilin"	0.146132
"Aslan Maskhadov"	0.145417
"Tareq Aziz"	0.143924
Bildt	0.143536
"Joseph Bruno"	0.141192
"Chavalit Yongchaiyudh"	0.14073
"Amien Rais"	0.139922
"Milos Zeman"	0.139594
"Wolfgang Schuessel"	0.138723
"Milorad Dodik"	0.138318
"Bashkim Fino"	0.136352
"John Anderson"	0.135615
"Mike Moore"	0.135358
"Yitzhak Mordechai"	0.134009
"Fehmi Agani"	0.132949
"Seamus Mallon"	0.132206
"Amnuay Virawan"	0.131568
"Eisuke Sakakibara"	0.13144
"Ricardo Alarcon"	0.131426
"Gennady Zyuganov"	0.131064
"Sheldon Silver"	0.130408
"Gulbuddin Hekmatyar"	0.129987
"Bulent Ecevit"	0.129712
"Tim Fischer"	0.129154
"Yegor Stroyev"	0.128986
"Helen Clark"	0.127154
"Nur Misuari"	0.125763
"Qian Qichen"	0.125731
Buthelezi	0.125174
"Zoran Djindjic"	0.124807
"Khaleda Zia"	0.124683
"Hashim Thaci"	0.124635
"Tansu Ciller"	0.124532
"Kim Yong Nam"	0.123822
"Bizima Karaha"	0.123453
Koirala	0.123196
"Gennady Seleznyov"	0.122362
"Necmettin Erbakan"	0.122314
"Richie Phillips"	0.121933
"Igor Sergeyev"	0.121845
"Vladimir Zhirinovsky"	0.121537
"Vaclav Klaus"	0.121181
Rais	0.120879
"Wen Jiabao"	0.120772
"Le Kha Phieu"	0.120692
"Dan Meridor"	0.120093
Zhirinovsky	0.119496
"Joschka Fischer"	0.119398
"Natan Sharansky"	0.118496
"Andreas Papandreou"	0.117378
Zadornov	0.117372
"Zhu Rongji"	0.117184
"Dai Bingguo"	0.116675
"Kim Jong-pil"	0.115997
"Michael Heseltine"	0.115357
"Carl Bildt"	0.114362
"Wang Zhongyu"	0.114106
"Phan Van Khai"	0.113049
"Momir Bulatovic"	0.111942
"Anwar Ibrahim"	0.111641
"Kiichi Miyazawa"	0.111044
"David Levy"	0.11019
Chand	0.109696
"Roosevelt Johnson"	0.109208
"Hanan Ashrawi"	0.108366
"Sergei Kiriyenko"	0.108043
"David Trimble"	0.107482
"Jenny Shipley"	0.107273
Tarawneh	0.106338
Mallon	0.106214
Chavalit	0.105975
"Than Shwe"	0.105905
"Mesut Yilmaz"	0.105799
"John J. Gotti"	0.105788
Seleznyov	0.105552
"Abdullah Ahmad Badawi"	0.105079
"Gerry Adams"	0.105023
"Pascoal Mocumbi"	0.104487
"Khin Nyunt"	0.104041
"Richard Gephardt"	0.103941
"Salim Hoss"	0.103454
"Pandeli Majko"	0.103297
Mokhehle	0.102797
Wamba	0.102686
"Foday Sankoh"	0.102658
"Daim Zainuddin"	0.102054
"Atal Behari Vajpayee"	0.101993
"David Duke"	0.10154
"Abu Ala"	0.101411
"Louis Farrakhan"	0.100963
"Galina Starovoitova"	0.100774
"Yukio Hatoyama"	0.10046
"Vojislav Kostunica"	0.100281
Sarid	0.10026
"Ieng Sary"	0.0999497
"Ding Guangen"	0.0999096
"Bertie Ahern"	0.099589
"Lee Kuan Yew"	0.0994925
"Fatos Nano"	0.0983996
"Marzuki Darusman"	0.0974456
Nemtsov	0.0969193
"Ayatollah Ali Khamenei"	0.096821
"Azem Hajdari"	0.0963063
"Sergei Stepashin"	0.0960024
Mordechai	0.0959465
Nateq-Nouri	0.0955118
"Don Nickles"	0.0953076
Verney	0.0951839
"Robert Guei"	0.0949702
McGuinness	0.0949602
Shaath	0.0941423
"Alija Izetbegovic"	0.0941188
Kazhegeldin	0.0938686
"Li Lanqing"	0.0937551
"Dennis Hastert"	0.0932556
Ruehe	0.0930258
Vasile	0.0928728
Jayakumar	0.0927893
"Ta Mok"	0.0927191
"Shimon Peres"	0.092371
"Ibrahim Rugova"	0.0921141
"Chuan Leekpai"	0.0915707
"De Klerk"	0.0912866
"Peter Vallone"	0.0911835
"Zou Jiahua"	0.0907674
"Johnny Paul Koroma"	0.0906079
"Jean-Marie Le Pen"	0.0903455
"Benazir Bhutto"	0.0899245
Mukora	0.0896967
Ecevit	0.0896657
Haq	0.0891049
"Silvio Berlusconi"	0.0890303
"Martin McGuinness"	0.0888194
Malu	0.0885519
"Ahmed Qureia"	0.0884634
Misuari	0.08832
"Kresimir Zubak"	0.0881821
"Mo Mowlam"	0.0881749
"Renato Ruggiero"	0.0879944
"Jonas Savimbi"	0.0877251
Supachai	0.0875319
"Yoshiro Mori"	0.0872293
"Viktor Chernomyrdin"	0.0871771
"Rashid Dostum"	0.0867288
"Chea Sim"	0.0866844
"Lokendra Bahadur Chand"	0.0864606
Khai	0.0862945
Khamenei	0.0862023
"Megawati Sukarnoputri"	0.0860745
"Dick Armey"	0.085802
"Howard Baker"	0.0853224
"Romano Prodi"	0.0851551
Nebiolo	0.0851277
"Xie Zhenhua"	0.0851156
"David Jones"	0.0847132
Izetbegovic	0.0846272
"Victor Chernomyrdin"	0.08441
"Lamberto Dini"	0.0841586
Bhattarai	0.0839545
"Atal Bihari Vajpayee"	0.0837508
Erekat	0.0836735
"Hans Blix"	0.0834318
"George Speight"	0.0833933
Al-Sabah	0.0831613
"Meles Zenawi"	0.0831322
"Abdurrahman Wahid"	0.0829687
Sharansky	0.0820071
"Moammar Gadhafi"	0.0819493
"Kim Il Sung"	0.0818852
"Bob Livingston"	0.0816929
Dehaene	0.0816912
))
("Alexander the Great" (desc 1167.02) (sims
"Cindy McCain"	0.0840018
"John Kennedy Jr."	0.0785938
"Francisco Franco"	0.0780588
"one of the boys"	0.0758097
"William Randolph Hearst"	0.0757474
Mao	0.0738496
Dudayev	0.0724093
"Andrew Jackson"	0.0719311
"Ho Chi Minh"	0.07157
"Dodi Fayed"	0.0710895
"Jerry Garcia"	0.0696756
"Queen Victoria"	0.0695753
"Elizabeth I"	0.0679808
"Benjamin Franklin"	0.067136
"Bobby Phills"	0.0652815
"Matthew Eappen"	0.064719
Biko	0.0645694
Custer	0.0644412
"John D. Rockefeller"	0.0641677
"JFK Jr."	0.0628723
pharaohs	0.0623613
"Leonardo da Vinci"	0.0618571
"Michael Kennedy"	0.0618083
Dodi	0.0605115
Tito	0.0599908
"Vincent van Gogh"	0.0591051
"shipwreck survivor"	0.0586368
Cleopatra	0.0577955
"Ted Hughes"	0.057656
Webdale	0.0575547
Baez	0.0570816
"George Washington"	0.0569004
Napoleon	0.0562066
Kai-shek	0.0556364
"Al Capone"	0.0548432
Alydar	0.054686
"Mao Tse-tung"	0.0544809
czar	0.0543775
"Franklin D. Roosevelt"	0.0535438
"Adam Petty"	0.0524172
Faison	0.0521274
"Hafez Assad"	0.0516725
"Genghis Khan"	0.0515034
"Emperor Akihito"	0.0507127
"Douglas MacArthur"	0.0506915
"Jorge Campos"	0.0504794
"Princess Diana"	0.0504572
"Leon Hess"	0.050157
"Jesus Christ"	0.0500384
Bostonian	0.0499712
heiress	0.0493537
"Cuban Americans"	0.0492712
Nasser	0.0491246
"Ferdinand Marcos"	0.0489702
"John F. Kennedy Jr."	0.0487504
"Buddy Holly"	0.0486917
Raitt	0.0482395
"Mobutu Sese Seko"	0.048128
Roosevelt	0.0478899
"Ayatollah Khomeini"	0.0476862
Chinese-Indonesians	0.0474664
Koresh	0.0474175
"James Byrd Jr."	0.0470424
"Ku Klux Klan"	0.0470129
"Siamese twin"	0.0469799
"John Lennon"	0.0465936
"John Connally"	0.0461502
"Kurt Cobain"	0.0460203
Dora	0.045825
"Karl Marx"	0.0456553
octuplets	0.0456149
Khomeini	0.0453661
"Sani Abacha"	0.0452368
"Czar Nicholas II"	0.0452075
JonBenet	0.0451959
Gachet	0.0450855
"Luke Skywalker"	0.0450643
"Ayatollah Ruhollah Khomeini"	0.0448158
Ceausescu	0.0445698
"Gertrude Stein"	0.0445632
Liston	0.0444461
Costin	0.044374
"Pope Pius XII"	0.0443388
serviceman	0.0441628
"Abraham Lincoln"	0.0440673
Mitterrand	0.0439954
Yandarbiyev	0.0439745
"Franklin Delano Roosevelt"	0.043949
"Elizabeth Taylor"	0.043902
"John F. Kennedy"	0.043704
"theory of relativity"	0.0435013
Borodin	0.0433927
VISTEON	0.0433823
"King Hassan"	0.0430687
"Josef Stalin"	0.0429098
PFC	0.0428488
"Matthew Shepard"	0.0428291
Nkabinde	0.0427839
"Albert Einstein"	0.0427789
"Robert E. Lee"	0.042724
Terrell	0.0425358
Gathers	0.0421222
Sacagawea	0.0420512
Sakyamuni	0.0420434
"Walter Payton"	0.0418234
Vogts	0.0417924
Dahmer	0.0417797
nobleman	0.0416499
Youk	0.0415241
"fortune cookie"	0.0415014
Arad	0.0414387
Frankenstein	0.0413685
Perrot	0.0411701
Mussolini	0.041072
"JonBenet Ramsey"	0.040993
Papandreou	0.0409596
first-grader	0.0409115
Laudor	0.040673
mini-camp	0.0404658
"Bruton Smith"	0.0403794
"Marilyn Monroe"	0.0403699
McLaughlin	0.040325
"deficit spending"	0.0402956
Presley	0.0402169
Norberg	0.0402128
Shurmur	0.0400995
"great grandfather"	0.0400959
Kovacevic	0.0400814
))
(ALEXANDER's (desc 3105.4) (sims
O'Leary's	0.105252
O'Neill's	0.0971799
WOODWARD's	0.0910956
O'Connor's	0.0823377
O'Brien's	0.0766028
Forbes	0.0714281
JACK's	0.0704311
O'Neal's	0.0702518
"more than one"	0.0688598
thy	0.0653517
write-in	0.0645369
Hodges	0.0635774
Mendez	0.0633866
"Republican House"	0.058307
MacDonald's	0.0578448
Caldor	0.0570964
O'Donnell's	0.0560956
Lloyd's	0.0547061
Shays-Meehan	0.0540183
"two key"	0.0531862
Salinas	0.0529919
postgame	0.0527948
grassroot	0.0522033
Haskins	0.0516348
Clinton-Gore	0.0515502
hands-on	0.0514782
Abortion-rights	0.0512506
DEADBEAT	0.0502663
hardline	0.0501498
ou	0.0500526
"Shaquille O'Neal's"	0.0495599
decadelong	0.0495322
longshot	0.0493091
third-down	0.0492768
his/her	0.0488779
O'Meara's	0.0488561
eleventh-hour	0.0482611
JERRY's	0.0481714
GOPAC	0.048134
"True North"	0.0481129
IEC	0.0480442
four-month	0.0477658
take-no-prisoners	0.0477355
Symons	0.0475514
"sad sack"	0.0474304
"investment banking"	0.0472497
"House International Relations Committee"	0.0471993
Owens	0.0469493
hawkish	0.0467674
Harrods	0.0464129
"Nearly two"	0.0463562
Keyes	0.0454733
Gonzales	0.045212
"London Marathon"	0.0447721
"roughly @@@"	0.0445999
NSC	0.0445856
CCF	0.0444177
"sales promotion"	0.0443888
"Joe Camel"	0.04434
franks	0.0442903
USAID	0.0442346
cost-conscious	0.0441807
Hayes	0.0437149
DNC	0.043678
CBO	0.0436306
"House GOP"	0.0435442
NLRB	0.0433839
"civil defense"	0.0432487
absentee	0.0431992
Levi's	0.043146
Pappas	0.0427392
Perkins	0.0423595
"House Budget Committee"	0.0421336
third-quarter	0.0421329
monthlong	0.0420933
Cyrus	0.0419509
SAS	0.0416473
dovish	0.0415582
second-quarter	0.0414566
Helms	0.0412529
"National Economic Council"	0.0410725
diagnostics	0.0409902
counterterrorism	0.0408596
Alpharetta	0.0408526
contrarian	0.040713
MDC	0.0406025
first-time	0.0405564
Arias	0.0405331
subpar	0.040481
"Saks Fifth Avenue"	0.0403609
VISTEON	0.0401227
Torricelli	0.0400922
))
(Alexandra (desc 4843.52) (sims
Kristin	0.166702
Patricia	0.14657
Brenda	0.143566
Jacqueline	0.141583
Irina	0.140494
Olga	0.140304
Stephanie	0.139222
Eileen	0.136288
alicia	0.132552
Debbie	0.132033
Nora	0.13111
Kathryn	0.130946
Lori	0.129514
JoAnne	0.128336
Suzanne	0.126275
Evelyn	0.122289
Maureen	0.12186
Polly	0.121104
Emily	0.120789
Juanita	0.119562
Doris	0.118913
Sylvia	0.118174
Pam	0.117659
Michelle	0.117234
Jennifer	0.117222
Peggy	0.117062
Meg	0.116053
Christine	0.115647
Audrey	0.115491
Josephine	0.115267
Monique	0.114983
Miriam	0.11484
Valerie	0.113331
Sonia	0.112546
Elena	0.111575
Andrea	0.11122
becky	0.110719
Kimberly	0.110693
Carolyn	0.110632
Marlene	0.110345
Karenna	0.108787
Kathleen	0.108437
Kathy	0.108242
Vanessa	0.107901
Edith	0.107631
Rachel	0.107344
Esther	0.106882
Jill	0.106728
Laura	0.106691
Vicki	0.106655
Caroline	0.106389
Diane	0.105952
Erica	0.105614
Cindy	0.105251
Natalie	0.103872
Julia	0.103549
Jessica	0.103345
Julie	0.10299
Cherie	0.102955
Tracey	0.1025
Beverly	0.102354
Katherine	0.102224
Millie	0.102085
Sheryl	0.101855
Susan	0.101702
Cheryl	0.101459
Phyllis	0.101121
Nicole	0.101097
"Azizah Ismail"	0.101083
Pamela	0.100921
Debra	0.100814
Christina	0.100723
Amanda	0.100664
Anne	0.100455
Ashley	0.10021
Linda	0.099437
Rebecca	0.0994154
Denise	0.0993897
Barbara	0.0975957
Sarah	0.0975462
Sara	0.0973161
Margaret	0.0972607
Janet	0.0970602
Annie	0.0964185
Katie	0.0960872
Lynne	0.0959042
Maria	0.0951648
Dorothy	0.0949027
Mona	0.0945727
Nina	0.0945632
Samantha	0.0945277
Helen	0.0943244
Theresa	0.0942884
Michele	0.0938439
Amy	0.093749
Camille	0.0924621
Beatrice	0.0920066
Claudia	0.0919853
Brooke	0.0919176
Nancy	0.0917528
Donna	0.0915667
Lisa	0.0915667
"Karenna Gore Schiff"	0.0915407
Cathy	0.091248
Liz	0.0911446
Marianne	0.091073
colleen	0.0909964
Jenna	0.0908772
gloria	0.0908068
Leah	0.0907635
Melanie	0.0905539
Hannah	0.090371
Judy	0.0898713
Elaine	0.0895378
heather	0.089428
Renee	0.0893417
Marta	0.0892108
anna	0.0891616
Sophie	0.0891546
Karen	0.0890012
Terri	0.088885
Deborah	0.088573
Nikki	0.0885447
Lydia	0.0882156
Gina	0.0877724
Sandra	0.0877206
Eleanor	0.0876608
Natasha	0.0875222
Frances	0.0871843
Pauline	0.0864447
Tina	0.0857192
Toni	0.0853541
Martha	0.0853008
Meredith	0.0844864
Winnie	0.0844219
Marian	0.0843325
Lois	0.0843315
Paulina	0.0840316
Elizabeth	0.0839349
TARA	0.08314
JonBenet	0.0829823
Clara	0.0825692
Lucia	0.082271
daphne	0.0821218
Sasha	0.0820521
Megan	0.0816412
Melissa	0.0806781
Teresa	0.0806662
Connie	0.0803876
Hadassah	0.0801863
"Carolyn Bessette Kennedy"	0.0799535
Matthew	0.0799238
Vivian	0.0798336
Tracy	0.0797228
Soweto	0.0795278
Marcia	0.0794761
Maya	0.079403
Lynn	0.0792626
Marilyn	0.0779591
Alison	0.0779509
Beth	0.0777893
Vera	0.077697
"Leigh Ann"	0.0776466
Dolores	0.0776441
Wanda	0.0776345
Stella	0.0775097
Catherine	0.0773827
Lyn	0.0772566
Kate	0.0764481
Erin	0.0764221
Rita	0.0760153
Ellen	0.0759165
Zoe	0.075628
Olivia	0.074855
Carol	0.0748027
Jackie	0.0746621
Shannon	0.074556
Kay	0.0738239
Jenny	0.0736445
Jane	0.073618
Juli	0.0733692
ANN	0.0729404
Shirley	0.0729209
Wendy	0.0727687
Brandon	0.0727487
Mary	0.0720116
Judith	0.0719149
Marisleysis	0.071793
Stacy	0.0716025
Betty	0.0714939
Jeanne	0.0711536
Betsy	0.0709725
Lucy	0.0708212
Paula	0.0707019
hazel	0.0704957
Danielle	0.070417
Molly	0.0701044
Carrie	0.0699252
Lauren	0.0697508
Angela	0.0696247
))
("Alexandra Fusai" (desc 2340.33) (sims
"Sarah Pitkowski"	0.391183
"Nathalie Dechy"	0.390409
"Nicolas Escude"	0.384758
"Arnaud Di Pasquale"	0.358043
"Arnaud Boetsch"	0.33776
"Anne-Gaelle Sidot"	0.337299
"Arnaud Clement"	0.336215
"Jerome Golmard"	0.331251
"Anne Kremer"	0.324628
"Elena Likhovtseva"	0.323838
"Catalina Cristea"	0.322296
"Guillaume Raoux"	0.319428
"Florencia Labat"	0.318742
"Paola Suarez"	0.315248
"Magui Serna"	0.312178
"Miriam Oremans"	0.311884
"Sandrine Testud"	0.308091
"Mariano Zabaleta"	0.306498
"Ramon Delgado"	0.303736
"Sabine Appelmans"	0.299617
"Fabrice Santoro"	0.298596
"Joannette Kruger"	0.296442
"Nicole Pratt"	0.289256
"Julie Halard-Decugis"	0.288779
"Adrian Voinea"	0.287092
"Olga Barabanschikova"	0.286577
"Barbara Paulus"	0.286125
"Sebastien Grosjean"	0.285909
"Andrei Pavel"	0.285304
"Tatiana Panova"	0.282227
"Natasha Zvereva"	0.282089
"Barbara Rittner"	0.280796
"Albert Portas"	0.280744
"Franco Squillari"	0.278642
"Mariano Puerta"	0.277229
"Amelie Mauresmo"	0.276212
"Rita Grande"	0.274562
"Andreas Vinciguerra"	0.27321
"Richard Fromberg"	0.271246
"Magdalena Maleeva"	0.270197
"Corina Morariu"	0.269909
"Carlos Costa"	0.26962
"Xavier Malisse"	0.268871
"Grant Stafford"	0.268612
"Silvia Farina"	0.267362
"Neville Godwin"	0.266001
"Tara Snyder"	0.26543
"Guy Forget"	0.265006
"Rainer Schuttler"	0.264735
"Judith Wiesner"	0.2629
"Michael Tebbutt"	0.262709
"Younes El Aynaoui"	0.262197
"Rika Hiraki"	0.261029
"Cara Black"	0.260837
"Richey Reneberg"	0.260795
"Ruxandra Dragomir"	0.258667
"Kenneth Carlsen"	0.25841
"Tamarine Tanasugarn"	0.255779
"Kristie Boogert"	0.254259
"Kim Clijsters"	0.253842
"Dominique Van Roost"	0.252093
"Hernan Gumy"	0.251737
"Sebastien Lareau"	0.251126
"Olivier Delaitre"	0.249028
"Steve Campbell"	0.248256
"Christian Ruud"	0.247781
"Naoko Sawamatsu"	0.247472
"Francisco Clavet"	0.247464
"Vincent Spadea"	0.246121
"Daniel Nestor"	0.245027
"Els Callens"	0.244832
"Jonathan Stark"	0.244451
"Sargis Sargsian"	0.244315
"Andrew Ilie"	0.243496
"Yayuk Basuki"	0.243297
"Filip Dewulf"	0.242597
"Asa Carlsson"	0.242482
"Karim Alami"	0.23974
"Sjeng Schalken"	0.237308
"Julian Alonso"	0.237082
"Davide Sanguinetti"	0.236156
"Alberto Berasategui"	0.234611
"Amy Frazier"	0.234051
"Marcelo Filippini"	0.233439
"Juan Antonio Marin"	0.230595
"Jeff Tarango"	0.230099
"Marcos Ondruska"	0.230038
"Todd Woodbridge"	0.229921
"Irina Spirlea"	0.229587
"Roger Federer"	0.228164
"Javier Sanchez"	0.227731
"Conchita Martinez"	0.226986
"Brenda Schultz-McCarthy"	0.226414
"Mary Pierce"	0.225447
"Barbara Schett"	0.224686
"Paul Haarhuis"	0.22417
"Max Mirnyi"	0.223642
"Leander Paes"	0.22306
"Wayne Black"	0.223018
"Patty Schnyder"	0.222714
"Lisa Raymond"	0.222156
"Andrea Gaudenzi"	0.221186
"Galo Blanco"	0.219999
"Gianluca Pozzi"	0.219692
"Mikael Tillstrom"	0.219574
"Nathalie Tauziat"	0.217476
"Ai Sugiyama"	0.217426
"Elena Dementieva"	0.215605
"Renzo Furlan"	0.214988
"Scott Draper"	0.213303
"Kveta Hrdlickova"	0.210871
"MaliVai Washington"	0.210758
"Fernando Meligeni"	0.209526
"Bohdan Ulihrach"	0.209297
"Chanda Rubin"	0.208297
"Marc Rosset"	0.20788
"Mark Woodforde"	0.206405
"Mahesh Bhupathi"	0.204288
"Kimberly Po"	0.203266
"Martin Damm"	0.203149
"Diego Nargiso"	0.202681
"Mark Knowles"	0.202455
"Vince Spadea"	0.201973
"Alberto Costa"	0.201779
"Daniel Vacek"	0.20133
"Barbara Schwartz"	0.198876
"Jason Stoltenberg"	0.195495
"Li Fang"	0.194306
"Helena Sukova"	0.193916
"Tommy Haas"	0.193496
"John Van Lottum"	0.193236
"Lori McNeil"	0.192358
"Hicham Arazi"	0.191511
"Thomas Johansson"	0.190907
"Slava Dosedel"	0.189767
"Jan-Michael Gambill"	0.189642
"Magnus Gustafsson"	0.189384
"Mirjana Lucic"	0.187941
"Alex O'Brien"	0.186197
"Iva Majoli"	0.185965
"Andrei Medvedev"	0.185691
"Byron Black"	0.185649
"Chris Woodruff"	0.185552
"Adriana Gersi"	0.185082
"David Prinosil"	0.185029
"Anke Huber"	0.184753
"Felix Mantilla"	0.183806
"Marat Safin"	0.183232
"Juan Carlos Ferrero"	0.18294
"Cedric Pioline"	0.18244
"Brett Steven"	0.182021
"Karina Habsudova"	0.182003
"Nicklas Kulti"	0.181477
"Denisa Chladkova"	0.180221
"Henrieta Nagyova"	0.179956
"Jean-Philippe Gatien"	0.179355
"Magnus Larsson"	0.178604
"Dennis van Scheppingen"	0.178492
"Nicolas Lapentti"	0.178357
"Sergi Bruguera"	0.177145
"Nicolas Kiefer"	0.176816
"Dominik Hrbaty"	0.175302
"Jiri Novak"	0.174379
"Albert Costa"	0.173602
"Wayne Ferreira"	0.172209
"Magnus Norman"	0.171339
"Amanda Coetzer"	0.171073
"Jana Novotna"	0.169569
"Jonas Bjorkman"	0.168969
"Justin Gimelstob"	0.168808
"Janet Lee"	0.168554
"Mary Joe Fernandez"	0.168229
"Jelena Dokic"	0.167402
"Anna Kournikova"	0.167037
"Wayne Arthurs"	0.166823
"Olympique Marseille"	0.161669
"Andres Gomez"	0.160206
Halard-Decugis	0.159385
"Thomas Muster"	0.157411
"Kimiko Date"	0.157375
Siemerink	0.156496
"Jennifer Capriati"	0.154251
Swardt	0.145641
Kroslak	0.143971
"Jim Courier"	0.143926
"Sandon Stolle"	0.143885
"Arantxa Sanchez-Vicario"	0.142763
"Karol Kucera"	0.141334
"Partizan Belgrade"	0.139483
"Richard Krajicek"	0.138233
"Gustavo Kuerten"	0.136524
"Tim Henman"	0.136244
"Jacco Eltingh"	0.13615
"Goran Ivanisevic"	0.135512
"Petr Korda"	0.134773
"Slavia Prague"	0.13401
"Sandra Kleinova"	0.132708
"Rodney Eyles"	0.132301
"Monica Seles"	0.131734
"Venus Williams"	0.131636
"Thomas Enqvist"	0.130382
"Stefan Edberg"	0.130027
Auxerre	0.129625
"Wang Shi-Ting"	0.129356
"Carlos Moya"	0.129102
"Mats Wilander"	0.129089
"Michael Stich"	0.128659
"Paul Goldstein"	0.128474
"Mark Philippoussis"	0.127963
"Paris St Germain"	0.126671
"Michael Chang"	0.126154
"Marcelo Rios"	0.125917
Novotna	0.125809
"Arantxa Sanchez Vicario"	0.124911
Dragomir	0.124847
"Alex Corretja"	0.124601
Nacional	0.123545
"Pat Rafter"	0.123292
"DON JOHNSON"	0.122846
"Alexandra Stevenson"	0.12257
"Larisa Neiland"	0.121697
"Katarina Studenikova"	0.121177
"Todd Martin"	0.120763
"Greg Rusedski"	0.119493
Olimpia	0.117928
Sugiyama	0.117647
Independiente	0.117419
Zvereva	0.116778
"Lleyton Hewitt"	0.116155
"Lindsay Davenport"	0.114164
"Serena Williams"	0.112761
Bastia	0.11262
Anderlecht	0.111663
"Le Defi Francais"	0.111385
"Didier Auriol"	0.110921
"David Rikl"	0.110915
"Christine Arron"	0.109952
Ulihrach	0.109325
"Yevgeny Kafelnikov"	0.108427
Zamalek	0.106341
"Martina Hingis"	0.105908
Bruguera	0.104392
Habsudova	0.1038
"Peter Nicol"	0.102481
Prinosil	0.101827
"Zhang Ning"	0.101063
"Patrick Rafter"	0.100257
))
("Alexandra Meissnitzer" (desc 3103.75) (sims
"Renate Goetschl"	0.43673
"Hermann Maier"	0.414439
"Anita Wachter"	0.350605
"Thomas Stangassinger"	0.342834
"Katja Seizinger"	0.311627
"Martina Ertl"	0.249432
"Deborah Compagnoni"	0.221106
"Michael Doohan"	0.205087
"Lasse Kjus"	0.203669
"Kjetil Andre Aamodt"	0.192105
Meissnitzer	0.189417
"Pernilla Wiberg"	0.187691
"Isolde Kostner"	0.18662
"Martin Schmitt"	0.173625
"Jeremy Wotherspoon"	0.172625
"Hilde Gerg"	0.172075
"Barbara Paulus"	0.16201
"Thomas Muster"	0.157175
"Barbara Schwartz"	0.156722
"Michael Von Gruenigen"	0.156155
"Michele Bartoli"	0.154206
"Claudia Pechstein"	0.151069
"Picabo Street"	0.150576
"Erik Zabel"	0.149944
"Barbara Schett"	0.146908
"Abraham Olano"	0.137273
"Bjarte Engen Vik"	0.13571
"Judith Wiesner"	0.134743
Maier	0.131582
"Yu Zhuocheng"	0.129953
"Li Jiajun"	0.125495
"Colin McRae"	0.122488
"Wilson Kipketer"	0.120307
"Guo Jingjing"	0.118713
Schmitt	0.118532
"Chris Boardman"	0.118132
"Wang Yifu"	0.117876
"Miguel Indurain"	0.117519
"Anjelika Krylova"	0.117214
"Rintje Ritsma"	0.117076
"Alex Zuelle"	0.116483
"MIka Hakkinen"	0.115614
"Maria Butyrskaya"	0.115487
"Sturm Graz"	0.115432
"Alberto Tomba"	0.115136
"Simona Amanar"	0.114264
"Gunda Niemann-Stirnemann"	0.113567
Kjus	0.113111
"Johan Museeuw"	0.112011
"Maria Mutola"	0.111312
"Mark Crear"	0.110198
"Tommi Makinen"	0.108552
"Paul Tergat"	0.107319
"Michael Schumacher"	0.107189
"Francesco Casagrande"	0.105431
"Max Biaggi"	0.105158
Aamodt	0.104118
"Bjarne Riis"	0.103805
Ertl	0.103099
"Carlos Sainz"	0.102916
"Bobby Labonte"	0.102778
Seizinger	0.100708
Zabel	0.10033
"Laurent Jalabert"	0.0997081
"Yang Yang"	0.0993312
"Scott Goodyear"	0.099078
"Daniel Komen"	0.0979823
"Jimmy Vasser"	0.0978882
"Peter Rasmussen"	0.0973829
"Brooke Bennett"	0.096789
"Tom Steels"	0.0962593
"Wang Chunlu"	0.0959932
"Heinz-Harald Frentzen"	0.0959837
"Dong Jiong"	0.0956908
"Moses Tanui"	0.0955344
"Susie O'Neill"	0.0948954
Doohan	0.0948311
"Liu Limin"	0.094381
"Tom Dolan"	0.0940965
"Juha Kankkunen"	0.0940056
Makinen	0.093383
"Ji Xinpeng"	0.0925439
"Jorgen Persson"	0.092136
"Inger Miller"	0.0915977
"Fu Mingxia"	0.0908935
Tanui	0.0904746
"Alexei Nemov"	0.0902482
"Deon Hemmings"	0.0893784
"Billy Boat"	0.0890644
"Tian Liang"	0.0888878
"Hiroyasu Shimizu"	0.0888228
Longo	0.0887662
"Wang Nan"	0.0886272
"Heryanto Arbi"	0.0882511
"Joko Suprianto"	0.0882098
"Allen Johnson"	0.0879057
Klagenfurt	0.0878597
"Kieren Perkins"	0.0868912
"Peter Gade Christensen"	0.0866423
"Juli Inkster"	0.086325
"Svetlana Masterkova"	0.0860009
"Jon Drummond"	0.0853489
"Liu Guoliang"	0.0849026
"Garry Kasparov"	0.0848948
"Gabriela Szabo"	0.0843737
Berasategui	0.0842932
"Irina Slutskaya"	0.0842523
"Juan Montoya"	0.0841523
Wiberg	0.0840946
Goetschl	0.0836495
"Kong Linghui"	0.0831108
Sainz	0.0829005
"Marco Pantani"	0.0824911
"Derrick Adkins"	0.0824547
"Alex Zanardi"	0.0824503
"Tyler Hamilton"	0.0818887
"Huang Xu"	0.0813827
"Todd Eldredge"	0.0813565
"Elena Berezhnaya"	0.0809959
"Li Xuemei"	0.0806772
"Grant Hackett"	0.0802756
"Alexander Popov"	0.0802385
"Oksana Kazakova"	0.0799463
Shuwei	0.079057
"Didier Auriol"	0.0788082
"Poul-Erik Hoyer-Larsen"	0.0787686
"Elvis Stojko"	0.0786462
Zuelle	0.0785792
"Regina Jacobs"	0.078395
"Wang Tao"	0.0783291
"Sandra Voelker"	0.0782427
"Wolfgang Schuessel"	0.0778432
"Eddie Irvine"	0.0776921
"Samantha Riley"	0.0776118
"Chen Gang"	0.0776009
"Gong Zhichao"	0.0775176
"Ian Thorpe"	0.0774262
"Gianni Romme"	0.0771837
"Dale Jarrett"	0.0764459
"Le Jingyi"	0.0763386
"Richard Fromberg"	0.0760338
"Damon Hill"	0.0760133
"Tegla Loroupe"	0.0757546
"Jacques Villeneuve"	0.0755023
"Jansher Khan"	0.0754003
"Chen Yan"	0.0751377
"Ma Lin"	0.0749618
"Fatuma Roba"	0.0747983
"Michael Klim"	0.0747378
Shenhua	0.0745393
"Li Na"	0.0744815
"Svetlana Khorkina"	0.0744592
"David Coulthard"	0.0743713
"Pavel Tonkov"	0.0743111
"Koji Ito"	0.0739914
"Aryeh Deri"	0.0737157
Hoogenband	0.0736918
Bartoli	0.0735748
Zanardi	0.0730825
"Kenny Brack"	0.072969
"Dario Franchitti"	0.0729671
"Richard Burns"	0.0728301
"Jeff Burton"	0.0724869
"Gong Ruina"	0.0716611
Morceli	0.0716304
Cipollini	0.0716282
"Laurent Brochard"	0.071613
"Hu Weidong"	0.0712171
"Jeff Gordon"	0.0711894
Szabo	0.0711554
"Yevgeny Kafelnikov"	0.0709448
"Zoran Primorac"	0.0708696
"Christine Arron"	0.0707265
"Lenny Krayzelburg"	0.0706839
"Andre Agassi"	0.070659
"John Godina"	0.0705226
"Mark Martin"	0.0704148
"Rodney Eyles"	0.0703399
"Gail Devers"	0.0703234
"Xiong Ni"	0.0702283
"Sergi Bruguera"	0.0701388
Halard-Decugis	0.0700231
Khorkina	0.069978
"Roger Federer"	0.0699488
Malek	0.0699454
"ski race"	0.0698426
"Wang Junxia"	0.0697877
"Sonia O'Sullivan"	0.0696949
"Denis Pankratov"	0.0696203
"Seattle Slew"	0.0693986
"Anatoly Karpov"	0.0693828
"Albert Costa"	0.0693773
Coulthard	0.0693037
Klim	0.0691698
"Wu Yanyan"	0.0691592
"Liu Xuan"	0.0690263
"Arnaud Di Pasquale"	0.0689058
"Merlene Ottey"	0.0688767
Aoki	0.0686099
Hakkinen	0.0684977
))
("Alexandra Stevenson" (desc 4184.23) (sims
"Mirjana Lucic"	0.279805
"Jelena Dokic"	0.269334
"Kim Clijsters"	0.262557
"Chanda Rubin"	0.246549
"Corina Morariu"	0.245126
"Jeff Tarango"	0.240621
"Jennifer Capriati"	0.234159
"Steve Campbell"	0.223001
"Jonathan Stark"	0.219204
"Richey Reneberg"	0.215894
"Vincent Spadea"	0.215348
"Tamarine Tanasugarn"	0.202824
"Mariano Zabaleta"	0.200403
"Tara Snyder"	0.199771
"Franco Squillari"	0.198847
"Nicole Pratt"	0.197529
"Chris Woodruff"	0.197291
"Amy Frazier"	0.197032
"Magui Serna"	0.196517
"Mary Joe Fernandez"	0.195761
"Kimberly Po"	0.195489
"Arnaud Di Pasquale"	0.194719
"Roger Federer"	0.194311
"Xavier Malisse"	0.193743
"Jan-Michael Gambill"	0.192027
"Justin Gimelstob"	0.191404
"Anne Kremer"	0.190164
"Paul Goldstein"	0.188151
"Adrian Voinea"	0.187573
"Barbara Schwartz"	0.18562
"Nathalie Dechy"	0.185356
"Lisa Raymond"	0.185144
"Galo Blanco"	0.18375
"Juan Antonio Marin"	0.18334
"Marcelo Filippini"	0.182941
"MaliVai Washington"	0.180963
"Sarah Pitkowski"	0.179769
"Neville Godwin"	0.178682
"Andreas Vinciguerra"	0.177408
"Albert Portas"	0.172213
"Catalina Cristea"	0.172145
"Magdalena Maleeva"	0.171567
"Ramon Delgado"	0.170783
"Serena Williams"	0.169169
"Anna Kournikova"	0.168011
"Sebastien Grosjean"	0.167599
"Lori McNeil"	0.167052
"Christian Ruud"	0.165591
"Jason Stoltenberg"	0.165095
"Hernan Gumy"	0.164828
"Rainer Schuttler"	0.16481
"Nicolas Escude"	0.16476
"Filip Dewulf"	0.164547
"Vince Spadea"	0.163943
"Silvia Farina"	0.161837
"Florencia Labat"	0.161492
"Joannette Kruger"	0.16135
"Fernando Meligeni"	0.159219
"Arnaud Boetsch"	0.158516
"Mikael Tillstrom"	0.158514
"Renzo Furlan"	0.158469
"Grant Stafford"	0.156994
"Sargis Sargsian"	0.15691
"Richard Fromberg"	0.156779
"Arnaud Clement"	0.156603
"Jerome Golmard"	0.15654
"Sabine Appelmans"	0.155454
"Andrei Pavel"	0.154754
"Anne-Gaelle Sidot"	0.154091
"Barbara Rittner"	0.153736
"Ai Sugiyama"	0.153224
"Andrew Ilie"	0.152572
"Todd Martin"	0.151768
"Mahesh Bhupathi"	0.151371
"Miriam Oremans"	0.151357
"Tatiana Panova"	0.151161
"Sebastien Lareau"	0.150036
"Irina Spirlea"	0.149814
"Guillaume Raoux"	0.149334
"Jim Courier"	0.149158
"Jimmy Connors"	0.148758
"Amelie Mauresmo"	0.148289
"Alex O'Brien"	0.148262
"Ruxandra Dragomir"	0.147798
"Venus Williams"	0.14729
"Natasha Zvereva"	0.147087
"Elena Dementieva"	0.147024
"Scott Draper"	0.14692
"Cara Black"	0.146414
"Olga Barabanschikova"	0.146082
"Patty Schnyder"	0.14608
"Elena Likhovtseva"	0.145344
"Janet Lee"	0.145006
"Nicolas Lapentti"	0.144657
"Lindsay Davenport"	0.144405
"Julie Halard-Decugis"	0.143766
"Leander Paes"	0.143557
"Sjeng Schalken"	0.143081
"Michael Stich"	0.142124
"Francisco Clavet"	0.141446
"Mariano Puerta"	0.14131
"Rita Grande"	0.141246
"Javier Sanchez"	0.14118
"Marc Rosset"	0.141044
"Michael Chang"	0.141034
"Naoko Sawamatsu"	0.140131
"Lleyton Hewitt"	0.139661
"Asa Carlsson"	0.139141
"Tommy Haas"	0.138967
"Younes El Aynaoui"	0.138552
"Kenneth Carlsen"	0.138213
"Mary Pierce"	0.137868
"Anke Huber"	0.136584
"Marcos Ondruska"	0.13623
"Michael Tebbutt"	0.135961
"Kveta Hrdlickova"	0.13547
"Paola Suarez"	0.135253
"Davide Sanguinetti"	0.134824
"Nicolas Kiefer"	0.134011
"Yayuk Basuki"	0.133959
"Dominik Hrbaty"	0.133795
"Marat Safin"	0.133201
"Alberto Berasategui"	0.132764
Stoltenberg	0.132516
"Tim Henman"	0.132327
"Iva Majoli"	0.130848
"Juan Carlos Ferrero"	0.129812
"Goran Ivanisevic"	0.129806
"Dominique Van Roost"	0.128503
"Karim Alami"	0.128468
"David Prinosil"	0.127733
"Steffi Graf"	0.127446
"Wayne Ferreira"	0.127076
"Nathalie Tauziat"	0.126912
"Magnus Gustafsson"	0.126854
"Monica Seles"	0.126851
"Max Mirnyi"	0.126418
"Karina Habsudova"	0.125621
"Andrea Gaudenzi"	0.124653
"Carlos Costa"	0.124278
"Hicham Arazi"	0.124027
"Martina Hingis"	0.123682
"Alexandra Fusai"	0.12257
"Brett Steven"	0.122544
"Todd Woodbridge"	0.122103
"Cedric Pioline"	0.120552
"Amanda Coetzer"	0.120477
Swardt	0.120316
"Richard Krajicek"	0.120026
"Mark Woodforde"	0.119607
"Thomas Johansson"	0.118859
"Judith Wiesner"	0.118703
"Kristie Boogert"	0.117951
"Fabrice Santoro"	0.117818
"Barbara Schett"	0.117486
"Gianluca Pozzi"	0.116928
"Wayne Black"	0.115498
"Mark Philippoussis"	0.114987
"Andrei Medvedev"	0.114945
"Li Fang"	0.114379
"Jonas Bjorkman"	0.113874
"Magnus Norman"	0.113623
"Kimiko Date"	0.113407
"Els Callens"	0.112708
"Rika Hiraki"	0.112666
"Sandrine Testud"	0.112357
"Bjorn Borg"	0.11204
"Byron Black"	0.111919
"Daniel Nestor"	0.111669
"Andre Agassi"	0.111328
"Julian Alonso"	0.111142
"Wayne Arthurs"	0.110149
"Jana Novotna"	0.109294
"Mark Knowles"	0.107032
"Sergi Bruguera"	0.106613
"Boris Becker"	0.106436
"Stefan Edberg"	0.106053
"Guy Forget"	0.105971
"Thomas Muster"	0.105869
"Ivan Lendl"	0.105703
"Ian Thorpe"	0.105402
"Magnus Larsson"	0.104895
"Nicklas Kulti"	0.104644
Schalken	0.104142
"Barbara Paulus"	0.103899
"Felix Mantilla"	0.10388
"Arantxa Sanchez-Vicario"	0.103767
"Petr Korda"	0.103428
"John Van Lottum"	0.102779
"Paul Haarhuis"	0.101943
"Denisa Chladkova"	0.101738
Sidot	0.100988
"Mats Wilander"	0.100647
"Alberto Costa"	0.100595
"Martina Navratilova"	0.100517
Kournikova	0.100193
"Dennis van Scheppingen"	0.100014
Meligeni	0.0999072
"Pat Rafter"	0.0994872
Dragomir	0.0989459
))
(Alexandria (desc 17411.4) (sims
CAIRO	0.156105
Tripoli	0.151569
Jeddah	0.148829
Ismailia	0.148522
Istanbul	0.138258
Fairfax	0.137813
"Port Said"	0.137732
"Tel Aviv"	0.132563
el-Sheikh	0.132449
Wilmington	0.127524
Aswan	0.12738
Aqaba	0.126903
"Baton Rouge"	0.126148
Luxor	0.126139
"Little Rock"	0.125621
Dushanbe	0.124898
Amman	0.124016
Algiers	0.121139
Ramallah	0.120585
Luanda	0.118475
Reston	0.118225
"St. Petersburg"	0.1167
Khartoum	0.116145
Beirut	0.114647
"Buenos Aires"	0.114238
Richmond	0.114069
"Mexico City"	0.113535
Durban	0.113185
WARSAW	0.112767
Cartagena	0.112471
Vienna	0.112104
TUNIS	0.110909
Newark	0.110646
Naples	0.110326
"Addis Ababa"	0.110228
Riyadh	0.110017
Honolulu	0.109997
Birmingham	0.109476
"Kuala Lumpur"	0.108795
Arlington	0.108694
CARACAS	0.108461
Minneapolis	0.108129
LISBON	0.107358
BUDAPEST	0.107047
"San Juan"	0.106771
KIEV	0.106702
Mombasa	0.106227
"White Plains"	0.10558
MELBOURNE	0.105345
Albany	0.10503
Gaza	0.10501
"Cape Town"	0.10435
Dili	0.104211
BOGOTA	0.103708
Havana	0.103523
Morristown	0.103356
SEOUL	0.103343
Tehran	0.10326
Tampa	0.102915
Charlottesville	0.102681
Acapulco	0.102665
"West Palm Beach"	0.102632
Dublin	0.102595
Damascus	0.10233
BUCHAREST	0.102312
Auckland	0.101812
JOHANNESBURG	0.101372
Austin	0.101111
"Santo Domingo"	0.100959
Jakarta	0.100658
Prague	0.100371
Rochester	0.100331
Suez	0.100206
Accra	0.100058
Hamburg	0.0998742
MAPUTO	0.0997295
"Los Angeles"	0.0996007
Asmara	0.0995546
ZAGREB	0.0995425
ATHENS	0.0994587
Norfolk	0.0993733
Geneva	0.0992231
"Sao Paulo"	0.0990769
"Fort Worth"	0.0989867
KAMPALA	0.0988632
Belfast	0.0980771
SOFIA	0.0979646
Paris	0.0979004
Santiago	0.0978179
Lexington	0.0976245
ANKARA	0.0975342
Nairobi	0.0973746
LONDON	0.0970163
BRUSSELS	0.0969676
Oslo	0.0967213
"New Delhi"	0.0963093
Lusaka	0.0961392
TEGUCIGALPA	0.0959806
Portsmouth	0.0959771
Karachi	0.095933
Sarajevo	0.095901
Lynchburg	0.095721
Rabat	0.095414
Arusha	0.0952396
Dayton	0.0951687
Taipei	0.095087
Eilat	0.0950297
"San Francisco"	0.0950248
Manila	0.0948821
Amsterdam	0.0947788
Memphis	0.0945202
Frankfurt	0.0944993
"New Orleans"	0.0943797
Vientiane	0.094369
Tuzla	0.0943375
Kigali	0.0941136
Cebu	0.0938418
Larnaca	0.0938286
Tokyo	0.0937477
Berlin	0.0936784
"Des Moines"	0.0935291
HARARE	0.0932001
Port-au-Prince	0.0931448
Helsinki	0.0930424
TALLAHASSEE	0.0930306
Pristina	0.0929585
Madrid	0.0928786
"San Jose"	0.0927209
Charleston	0.0925963
"Kansas City"	0.0924796
Englewood	0.0923785
Moscow	0.0922717
"Banja Luka"	0.0922163
Tucson	0.0921648
Manchester	0.0920498
COLOMBO	0.0920391
Copenhagen	0.0920017
Halifax	0.0918129
Vladivostok	0.0917532
JERUSALEM	0.091715
Rome	0.0912038
Milan	0.0910425
TRENTON	0.0908784
Raleigh	0.0908219
Hartford	0.0906814
Florence	0.0906392
Bissau	0.0906201
Baku	0.0905853
"Phnom Penh"	0.090547
"Ho Chi Minh City"	0.0903141
MANAMA	0.0902256
Savannah	0.0901772
Taba	0.0901706
Phoenix	0.0901027
Akron	0.0899888
"Washington D.C."	0.0899337
Springfield	0.0896927
"San Antonio"	0.0895168
Columbus	0.0894792
PALERMO	0.0894634
Lima	0.0893419
Shanghai	0.0893014
Houston	0.0890918
Antalya	0.0889508
Tbilisi	0.0887734
"El Paso"	0.0886734
Albuquerque	0.0883599
Washington	0.0881197
Texarkana	0.0880367
Greenville	0.0880244
Denver	0.0877769
"La Paz"	0.0876089
Jericho	0.0872849
Chappaqua	0.0871493
Christchurch	0.0871196
Brooklyn	0.0871168
Katmandu	0.0870832
Sacramento	0.0870646
Lafayette	0.0869684
Boston	0.0869422
Dallas	0.086898
Islamabad	0.0868832
CANCUN	0.086757
"Guatemala City"	0.0867527
"Fort Lauderdale"	0.08664
Cambridge	0.0866212
Nashville	0.0865871
"Kosovska Mitrovica"	0.086362
Lahore	0.0863367
HANOI	0.0863029
Minsk	0.0861697
Haifa	0.0861605
Pasadena	0.0861335
BEIJING	0.0861172
Aden	0.0859869
Omaha	0.0858362
Bangkok	0.0856652
Trincomalee	0.0854183
Worcester	0.0854082
Louisville	0.085387
))
(Alexei (desc 2161.77) (sims
Erik	0.0982851
Nicholas	0.0811672
Dominic	0.0766911
timothy	0.0754924
Evan	0.0708217
Andrei	0.0700967
Maria	0.0660595
Justin	0.0658869
Gerard	0.0655828
Zachary	0.0646017
Steven	0.0633787
Robby	0.0632554
Philip	0.0632134
Matthew	0.0629528
"Bashar Assad"	0.0619209
Neil	0.0606087
Marc	0.0601306
Miguel	0.0599747
stepson	0.05956
Jamie	0.058499
Jason	0.0584415
Carlos	0.0582683
Brian	0.0575971
Patrick	0.0567961
Gerald	0.0563961
Brett	0.0560854
Jonathan	0.0549655
crewmen	0.0548435
Isaac	0.0548064
Lorenzo	0.0544787
Theo	0.0542886
Jacob	0.0534607
Hormel	0.0532965
"Reform Judaism"	0.0531059
Brandi	0.0529957
Sund	0.0527893
Edgar	0.0527063
Ian	0.0526998
T.J	0.0523773
"Carole Sund"	0.0522085
lauder	0.0521992
O'Hair	0.0516367
Jeff	0.0516258
"John Kennedy Jr."	0.0514751
Wyatt	0.0511013
Josh	0.051074
Luis	0.050922
Marco	0.0508361
Julio	0.050351
commoner	0.0501856
Rafael	0.0501319
Percy	0.0500163
Jared	0.0500045
Carl	0.0495079
"Parker Bowles"	0.0493641
Danny	0.0489137
Mohammed	0.0489001
stepchildren	0.0488634
Todd	0.0487697
"Madalyn Murray O'Hair"	0.0486538
Brody	0.0485927
"John F. Kennedy Jr."	0.0485017
Paolo	0.0483442
Nancy	0.0481683
Nathaniel	0.0480896
Odai	0.0478617
Lyn	0.04785
Tim	0.04769
Jeb	0.0476063
Ivan	0.0474554
Marlene	0.0473283
Ken	0.047309
"Karenna Gore Schiff"	0.0469261
Peyton	0.0467802
matt	0.0467293
Sylvia	0.0466233
Eric	0.0465875
sandy	0.0465788
anna	0.0465462
Alec	0.0464711
Alan	0.0464635
Trey	0.0463776
Kyle	0.0463735
Liam	0.0459689
Bartholomew	0.0459148
Darren	0.0458482
Juan	0.0455319
Joshua	0.0452596
Rita	0.0452378
Joachim	0.0452279
Gabriel	0.0449303
Cody	0.0448453
J.J	0.0446298
NCI	0.0444619
Devon	0.0442391
Trevor	0.044204
A.J	0.0441248
Ronald	0.044111
Hugh	0.0441084
daughter-in-law	0.044093
Hakeem	0.0440064
Byron	0.0438955
Olga	0.0437657
"Michael Kennedy"	0.0437302
Mimi	0.043716
Olivia	0.0436458
Erica	0.0435787
grandchild	0.0434196
Julian	0.042891
Kathleen	0.0428518
Derek	0.0427272
Fernando	0.0427094
Antonio	0.0425165
stepbrother	0.0422417
Edward	0.0420882
Gail	0.0419992
Robbie	0.0419692
Milo	0.041786
Sergei	0.041675
Samuel	0.0415762
Sean	0.0415241
Ramon	0.0414953
Connie	0.0413859
Theresa	0.0412927
Connor	0.0411059
Leo	0.041006
Andy	0.0408792
"Prince of Wales"	0.0407514
Roberto	0.0407379
Julie	0.0407062
Kenneth	0.0407007
Jeremy	0.0406073
Dodi	0.0405449
Tracey	0.0405314
Deborah	0.0402917
fiance	0.040185
))
("Alexei Kovalev" (desc 1299.37) (sims
"Jaromir Jagr"	0.255211
"Matthew Barnaby"	0.210128
"Gabe Muoneke"	0.14905
"Shane Doan"	0.148814
"Grant Long"	0.147133
"Ante Razov"	0.145852
"Dallas Drake"	0.142645
"Bill Guerin"	0.142387
"Theo Fleury"	0.14226
"Corliss Williamson"	0.141817
"Theo Ratliff"	0.140322
"Jarvis Turner"	0.138628
"Brian McBride"	0.136206
"Milan Hejduk"	0.134924
"Wendel Clark"	0.133612
"Stern John"	0.131911
"Scot Pollard"	0.131084
"Chris Crawford"	0.130271
"Doug Gilmour"	0.129342
"Todd Harvey"	0.129133
"Joe Murphy"	0.127281
"Olli Jokinen"	0.127112
"Dixon Ward"	0.126727
"Anson Carter"	0.126649
"Richard Jefferson"	0.126216
"Kevin Freeman"	0.124617
"Rick Tocchet"	0.124007
"Landon Wilson"	0.123549
"Sergei Fedorov"	0.122731
"DeLisha Milton"	0.1226
"Samaki Walker"	0.121851
"Pavol Demitra"	0.121523
"Mike Sullivan"	0.12136
"Tom Barrasso"	0.120513
"ZIGMUND PALFFY"	0.120353
"Raef LaFrentz"	0.119595
"Alexei Yashin"	0.119446
"Steve Thomas"	0.119097
"Joe Thornton"	0.118873
"Michael Wright"	0.118871
"Mathieu Schneider"	0.118135
"Alan Henderson"	0.117939
"Owen Nolan"	0.117493
"Lamond Murray"	0.116929
"Jason Allison"	0.116318
"Brian Scalabrine"	0.116172
"Joe Juneau"	0.11577
"Patrik Elias"	0.115209
"Tony Amonte"	0.115145
"Hu Weidong"	0.115033
"Kenyon Martin"	0.114896
Jagr	0.114342
"Rodney Rogers"	0.113928
"Peter Forsberg"	0.113401
"Teemu Selanne"	0.112569
"Clarence Weatherspoon"	0.112297
"Adam Deadmarsh"	0.112281
"Chris Carrawell"	0.112088
"Greg Adams"	0.111694
"Pat Verbeek"	0.110659
"Gary Trent"	0.110601
"Othella Harrington"	0.110486
"Dave Andreychuk"	0.10978
"J.R Reid"	0.109681
"Peter Bondra"	0.109272
"Donyell Marshall"	0.109228
"Tamika Catchings"	0.108313
"Hao Haidong"	0.10828
"Darren McCarty"	0.107312
"Nelson Emerson"	0.107298
"Derrick Coleman"	0.107258
"Rob DiMaio"	0.106774
"Kenny Thomas"	0.106659
"Blake Sloan"	0.106594
"Shawn Marion"	0.106533
"Shannon MacMillan"	0.106323
"Pavel Bure"	0.106106
"Cedric Ceballos"	0.105201
"Brian Skinner"	0.105103
"Jason Kapono"	0.103963
"Etan Thomas"	0.103871
"Clifford Robinson"	0.103219
"Sam Clancy"	0.103195
"Marcus Fizer"	0.103185
"Mark Madsen"	0.103076
"Glen Murray"	0.103048
"Brendan Shanahan"	0.102791
"Geoff Sanderson"	0.101425
"Adam Oates"	0.101272
"Petr Nedved"	0.101119
"Joe Smith"	0.10069
"Steve Heinze"	0.100634
"Predrag Mijatovic"	0.100536
"Robert Traylor"	0.10045
Welton	0.100394
"Ziggy Palffy"	0.100011
"Carlos Hermosillo"	0.0995973
"Chris Mills"	0.0994744
"Aaron Williams"	0.0994633
Hlavac	0.0989088
"Alexander Mogilny"	0.0986804
"Danny Fortson"	0.0985151
"Tyrone Nesby"	0.098451
"Dmitri Khristich"	0.0984253
"Mark Bryant"	0.0983769
"Ruben Patterson"	0.097621
"Sean Farnham"	0.0969558
"Roy Lassiter"	0.096914
"Chris Porter"	0.0967843
"Jeff Friesen"	0.0966132
"Chris Drury"	0.0965824
"Mike Miller"	0.0965477
"Maurice Taylor"	0.0964486
"Rashard Lewis"	0.09575
"Jamal Mashburn"	0.0953781
"Kris Clack"	0.0951747
"Luis Hernandez"	0.0950778
"Vincent Damphousse"	0.0950661
"Matt Harpring"	0.0945781
"SCOTT BURRELL"	0.0945304
"Chris Anstey"	0.0944249
"Austin Croshere"	0.0941126
"Juwan Howard"	0.0940873
"Donald Audette"	0.0938554
"Chris Gatling"	0.0933868
"Shane Battier"	0.0930612
"Kendall Gill"	0.0925742
"Jeremy Roenick"	0.092442
"Brian Skrudland"	0.091546
"Pierre Turgeon"	0.0914879
"Claude Lemieux"	0.0912746
"Antonio Davis"	0.0912203
"Alen Boksic"	0.0904269
"Grant Marshall"	0.0904099
"Danny Manning"	0.0899808
"Jamie Langenbrunner"	0.0898006
Samuelsson	0.0895015
"Jumaine Jones"	0.0894845
"Jere Lehtinen"	0.0893835
"Brian Rolston"	0.0892232
"Brian Grant"	0.089204
"Keith Tkachuk"	0.0889474
"Ron Francis"	0.0887037
"Walt Williams"	0.0885676
"Horace Grant"	0.0884946
"Antawn Jamison"	0.0883449
"P.J Axelsson"	0.0882568
"P.J Brown"	0.0880796
"Rico Hines"	0.0878224
"Joe Sakic"	0.0873919
"Brett Hull"	0.0873852
"Mike Keane"	0.0869458
"Bobby Holik"	0.0865786
"Doug Weight"	0.0859987
"John LeClair"	0.0859457
"Otis Thorpe"	0.0859092
"Dale Davis"	0.0858642
"Kurt Thomas"	0.0857024
"Jerome Moiso"	0.0856743
"Steve Rucchin"	0.0856351
"Bobby Phills"	0.0854878
"Raul Diaz Arce"	0.085471
"Sun Wen"	0.085313
"George McCloud"	0.0852703
"Juha Ylonen"	0.0852167
"Kevin Willis"	0.0851577
"Chris Taylor"	0.0851231
"Morris Peterson"	0.0848118
"Bryon Russell"	0.0845441
"Lorenzen Wright"	0.0844022
"Eric Lindros"	0.0839247
"Jermaine O'Neal"	0.0837935
"Ted Donato"	0.083704
"Ian Wright"	0.0836049
"Detlef Schrempf"	0.0834116
"Valeri Kamensky"	0.0833309
"Faustino Asprilla"	0.0832685
"Christian Laettner"	0.0826719
"Billy Owens"	0.0823706
"Keith Primeau"	0.0823669
"Matt Barnes"	0.082291
"Rasheed Wallace"	0.0822048
"Jamie Feick"	0.0819184
"Raul Gonzalez"	0.0817722
"JaRon Rush"	0.0816011
"Cliff Ronning"	0.081228
"Lee Nailon"	0.0811165
"Glenn Robinson"	0.080928
"Tim Thomas"	0.0808986
"Anthony Mason"	0.0808448
"Cindy Parlow"	0.0807989
"Niklas Sundstrom"	0.0802945
"Ron Artest"	0.0802918
"Dickey Simpkins"	0.0799701
"Nwankwo Kanu"	0.0796926
"Harry Kewell"	0.0793313
"Terry Cummings"	0.0792143
"Dennis Scott"	0.0791392
"Bob Corkum"	0.0790438
"Michael Finley"	0.0788186
))
("Alexei Nemov" (desc 2180.85) (sims
"Svetlana Khorkina"	0.366276
"Svetlana Masterkova"	0.319323
"Denis Pankratov"	0.295718
"Ivan Ivankov"	0.294616
"Alexei Urmanov"	0.28454
"Alexander Popov"	0.283241
"Liu Xuan"	0.263771
"Maria Butyrskaya"	0.259539
"Simona Amanar"	0.254759
"Lu Yufu"	0.231325
"Irina Privalova"	0.223859
"Elena Dementieva"	0.222065
"Pavel Tonkov"	0.218737
"Irina Slutskaya"	0.216952
"Anatoly Karpov"	0.214006
"Elena Berezhnaya"	0.213381
"Alexei Yagudin"	0.212754
"Fu Mingxia"	0.210457
"Blaine Wilson"	0.205262
"Chen Lu"	0.202053
"Susie O'Neill"	0.196328
"Wang Yifu"	0.194589
"Garry Kasparov"	0.192449
"Oksana Kazakova"	0.190221
"Li Jiajun"	0.185645
"Deon Hemmings"	0.185497
"Allen Johnson"	0.184136
"Huang Xu"	0.180186
"Derrick Adkins"	0.175763
"Liu Limin"	0.174913
"Charles Austin"	0.174207
Shuwei	0.173705
"Katja Seizinger"	0.172324
"Liu Guoliang"	0.171353
"Tom Dolan"	0.169025
"Claudia Poll"	0.167506
"Deborah Compagnoni"	0.166918
"Fiona May"	0.166775
"Shannon Miller"	0.165894
"Kieren Perkins"	0.165695
"Dominique Moceanu"	0.164551
"Fatuma Roba"	0.162958
"Cathy Freeman"	0.162916
"Tatiana Panova"	0.160791
"Sandra Voelker"	0.160073
"Gary Hall"	0.158906
"Chen Jing"	0.158128
"Yu Zhuocheng"	0.158067
"Anjelika Krylova"	0.156173
"Dong Jiong"	0.1543
"John Godina"	0.153471
"Pernilla Wiberg"	0.151375
"Penny Heyns"	0.150438
"Amy van Dyken"	0.149874
"Felix Savon"	0.149376
"Wang Tao"	0.148815
"Hiroyasu Shimizu"	0.148383
"Linford Christie"	0.146174
"Wang Junxia"	0.145276
"Deng Yaping"	0.14345
"Marie-Jose Perec"	0.142469
"Daniel Kowalski"	0.141123
"Katarina Witt"	0.14036
"Susi Susanti"	0.140316
"Le Jingyi"	0.13974
"Thomas Stangassinger"	0.139615
"Samantha Riley"	0.139348
"Elvis Stojko"	0.138291
Khorkina	0.137507
"Guo Jingjing"	0.137146
"Rexy Mainaky"	0.136013
"Alberto Tomba"	0.135886
"Paul Tergat"	0.135819
"Donovan Bailey"	0.135262
"Frankie Fredericks"	0.135046
"David Reid"	0.134797
"Al Joyner"	0.134309
"Gail Devers"	0.133992
"Marina Anissina"	0.133858
"Picabo Street"	0.133686
"Andreea Raducan"	0.133631
"Michael Von Gruenigen"	0.133427
"Tara Lipinski"	0.133334
"Jean-Philippe Gatien"	0.133009
"Lasse Kjus"	0.132189
"Renate Goetschl"	0.13211
"Johan Museeuw"	0.131983
"Marat Safin"	0.131195
"Ge Fei"	0.130981
"Elena Likhovtseva"	0.130015
Sautin	0.129435
"Michelle Kwan"	0.127036
"Maria Mutola"	0.126567
"Jenny Thompson"	0.126348
"Ivan Pedroso"	0.124934
"Michelle Smith"	0.124648
"Hilde Gerg"	0.124183
"Yevgeny Kafelnikov"	0.122563
"Vanessa Atler"	0.12203
"Kong Linghui"	0.121738
"Dan O'Brien"	0.121607
"Brooke Bennett"	0.121542
"Xiong Ni"	0.120727
"Oksana Baiul"	0.120191
"Heike Drechsler"	0.119904
"Gunda Niemann-Stirnemann"	0.118163
"Bruny Surin"	0.117376
"Kristen Maloney"	0.1166
"Lin Li"	0.115726
"Max Biaggi"	0.115026
"Ricky Subagja"	0.114972
"Ato Boldon"	0.11483
Devers	0.114349
"Jorgen Persson"	0.113923
"Buster Douglas"	0.113873
"Todd Eldredge"	0.111865
"Merlene Ottey"	0.111667
"Jackie Joyner-Kersee"	0.111634
"Laurent Brochard"	0.111299
"Claudia Pechstein"	0.110469
"Inger Miller"	0.110441
"Michael Klim"	0.110197
"Tommi Makinen"	0.110129
"Hermann Maier"	0.109175
"C.J Hunter"	0.109026
"Noureddine Morceli"	0.108889
"Yang Wei"	0.108218
"Jacques Villeneuve"	0.107885
"Chris Boardman"	0.107773
"Abraham Olano"	0.107579
"Gary Hall Jr."	0.106807
"Wilson Kipketer"	0.106434
"Tian Liang"	0.105899
"Grant Hackett"	0.104706
"Li Na"	0.104261
"Jearl Miles-Clark"	0.104013
"Bjarte Engen Vik"	0.102751
"Roy Jones Jr."	0.102569
"Carl Lewis"	0.102544
"Michael Doohan"	0.102203
"Miguel Indurain"	0.101347
"Mia Audina"	0.10132
fencer	0.100609
"Michael Schumacher"	0.100305
"Christine Arron"	0.100254
"Peter Rasmussen"	0.100132
"Kenny Brack"	0.100052
"Michael Johnson"	0.100015
"Jansher Khan"	0.0998726
"Anita Wachter"	0.099443
"Gianni Romme"	0.0993647
Kjus	0.0991634
"Yang Yang"	0.0989098
"Jimmy Vasser"	0.0988391
"Alex Zanardi"	0.0987584
"Ye Zhaoying"	0.0987271
"Favorite Trick"	0.0983014
"Martin Schmitt"	0.097863
"Damon Hill"	0.0978464
"Liu Yong"	0.0977998
"Elise Ray"	0.0975519
Maier	0.0968886
Doohan	0.0963288
"Jan-Ove Waldner"	0.0962198
"Wu Yanyan"	0.0959936
"Colin McRae"	0.0950987
"Iwan Thomas"	0.094642
"Dennis Mitchell"	0.09443
"Stacy Dragila"	0.0943303
"Carlos Sainz"	0.0935018
"Juha Kankkunen"	0.0928594
"Susanthika Jayasinghe"	0.0927651
"Chen Gang"	0.0926791
"Nancy Kerrigan"	0.0924203
"Marion Jones"	0.0921753
"Regina Jacobs"	0.0918154
"Cheah Soon Kit"	0.0917994
Yagudin	0.0917094
"Kostya Tszyu"	0.0915089
"Moses Tanui"	0.0914991
"MIka Hakkinen"	0.0904403
"Michael Weiss"	0.0904021
"Alexandra Meissnitzer"	0.0902482
"Rodney Eyles"	0.0896545
"Maurice Greene"	0.089159
"Frank Bruno"	0.0889354
"Ong Ewe Hock"	0.0885043
Sainz	0.0884298
"Wang Nan"	0.0882413
kayaker	0.0882058
"Chen Hua"	0.0881237
"Rashid Sidek"	0.088094
"Anna Kournikova"	0.0877358
"Koji Ito"	0.0872893
"Johnny Tapia"	0.0867367
"Daniel Komen"	0.0863937
"Javier Sotomayor"	0.0862142
Kipketer	0.086018
"Sonia O'Sullivan"	0.0858469
Ottey	0.0857455
))
("Alexei Urmanov" (desc 1786.36) (sims
"Maria Butyrskaya"	0.433715
"Alexei Yagudin"	0.376917
"Elvis Stojko"	0.3226
"Svetlana Masterkova"	0.308529
"Elena Berezhnaya"	0.290815
"Alexei Nemov"	0.28454
"Oksana Kazakova"	0.261421
"Irina Slutskaya"	0.242675
"Michelle Kwan"	0.241101
"Chen Lu"	0.228017
"Svetlana Khorkina"	0.227988
"Denis Pankratov"	0.225622
"Pavel Tonkov"	0.222062
"Todd Eldredge"	0.22064
"Irina Privalova"	0.214122
"Fatuma Roba"	0.209971
"Brooke Bennett"	0.207573
"Alexander Popov"	0.205007
"Wang Yifu"	0.198342
"Oksana Baiul"	0.1937
"Derrick Adkins"	0.193274
"John Godina"	0.192647
"Charles Austin"	0.188485
"Tom Dolan"	0.188035
"Fu Mingxia"	0.186951
"Garry Kasparov"	0.186948
"Liu Limin"	0.186298
"Marina Anissina"	0.185515
"Gary Hall"	0.181889
"Allen Johnson"	0.172596
"Daniel Kowalski"	0.170531
"Bjarte Engen Vik"	0.170224
"Yu Zhuocheng"	0.167831
"Felix Savon"	0.1677
"Heike Drechsler"	0.165347
"Lin Li"	0.163321
"Tara Lipinski"	0.162746
"Penny Heyns"	0.162563
"Deon Hemmings"	0.16252
"Anatoly Karpov"	0.161654
"Claudia Poll"	0.161342
"Amy van Dyken"	0.159191
"Deborah Compagnoni"	0.156802
"Elena Dementieva"	0.156287
"Frankie Fredericks"	0.155002
"Gail Devers"	0.154952
"Fiona May"	0.15237
"Michael Weiss"	0.152169
"Al Joyner"	0.151742
"Sandra Voelker"	0.15145
"Dong Jiong"	0.15137
"Shannon Miller"	0.150882
"Dan O'Brien"	0.150243
"Anjelika Krylova"	0.149325
"Li Jiajun"	0.149142
"Thomas Stangassinger"	0.149124
"Maria Mutola"	0.149087
"Gary Hall Jr."	0.147799
"Rexy Mainaky"	0.147622
"Linford Christie"	0.146363
"Picabo Street"	0.142234
"Regina Jacobs"	0.142148
"David Reid"	0.141103
"Hiroyasu Shimizu"	0.140553
Yagudin	0.139995
"Chen Jing"	0.139679
"Marie-Jose Perec"	0.138932
"Donovan Bailey"	0.138486
"Ricky Subagja"	0.138404
"Jearl Miles-Clark"	0.137273
"Jenny Thompson"	0.137118
"Katarina Witt"	0.136871
"Simona Amanar"	0.135402
"Lasse Kjus"	0.132636
Sautin	0.131683
Shuwei	0.13133
"Susie O'Neill"	0.130242
"Noureddine Morceli"	0.129806
"Pernilla Wiberg"	0.12846
"Jackie Joyner-Kersee"	0.128317
"Michelle Smith"	0.128008
"Katja Seizinger"	0.126332
"Kieren Perkins"	0.12564
Devers	0.125619
"Hilde Gerg"	0.12502
"Liu Xuan"	0.124265
"Tatiana Panova"	0.123996
"Merlene Ottey"	0.123375
"Cathy Freeman"	0.12319
"Dominique Moceanu"	0.122303
"Liu Guoliang"	0.12179
"Ivan Ivankov"	0.121399
"Susi Susanti"	0.121012
"Elena Likhovtseva"	0.117615
"Wang Tao"	0.117615
"Xiong Ni"	0.117099
"Jean-Philippe Gatien"	0.117074
Ottey	0.116478
"Joko Suprianto"	0.11527
"Johan Museeuw"	0.112903
"Paul Tergat"	0.112289
"Wang Junxia"	0.11204
"Vanessa Atler"	0.110034
"Chen Hua"	0.109797
"Carl Lewis"	0.109796
"Sarah Hughes"	0.109606
"Chris Boardman"	0.109553
"Miguel Indurain"	0.109005
"Deng Yaping"	0.10802
"Hermann Maier"	0.107073
Godina	0.105831
Seizinger	0.105595
"Alberto Tomba"	0.10516
"Marat Safin"	0.104711
"Blaine Wilson"	0.104394
Khorkina	0.104009
"Jorgen Persson"	0.103359
"Mark Crear"	0.103019
"Samantha Riley"	0.102644
kayaker	0.102399
"Randy Barnes"	0.102213
"Ivan Pedroso"	0.102163
"Renate Goetschl"	0.101867
"Mia Audina"	0.101077
"Gianni Romme"	0.100452
"Bjarne Riis"	0.0991952
"Yevgeny Kafelnikov"	0.0986402
"Kong Linghui"	0.0983083
"Yang Yang"	0.0978459
"Damon Hill"	0.0973691
"Ge Fei"	0.0968902
"Olin Browne"	0.0967104
Longo	0.0966225
"Colin McRae"	0.0959893
Kasparov	0.0954809
"Dennis Mitchell"	0.0951718
"Michael Von Gruenigen"	0.0951516
"Wilson Kipketer"	0.0947389
"Ato Boldon"	0.0943862
"Susanthika Jayasinghe"	0.0942826
"Florence Griffith Joyner"	0.0941979
"Jan-Ove Waldner"	0.0938534
"Fung Permadi"	0.0938043
"Le Jingyi"	0.0937901
"Moses Tanui"	0.0936211
"Koji Ito"	0.0936018
"Michael Johnson"	0.0932205
Rosset	0.093195
Doohan	0.0930917
"Michael Klim"	0.0927016
Maier	0.0920769
Roba	0.0916958
"Nancy Kerrigan"	0.0914813
Boldon	0.089997
Butyrskaya	0.0896854
"Rodney Eyles"	0.0882214
"Wu Yanyan"	0.0881884
"Marc Rosset"	0.0878935
"Maurice Greene"	0.0876234
"Tommi Makinen"	0.0871457
"Buster Douglas"	0.0869009
"Jennifer Capriati"	0.0863434
Karpov	0.0860098
"Bruny Surin"	0.0853403
"Cheah Soon Kit"	0.0852524
"Max Biaggi"	0.0847769
"Guo Jingjing"	0.0846594
"Abraham Olano"	0.0836727
"Ye Zhaoying"	0.0835891
"Chen Yan"	0.0832909
Popov	0.0829111
"Michael Doohan"	0.0827551
"Martin Schmitt"	0.0821993
"Jansher Khan"	0.0821009
"Claudia Pechstein"	0.0819089
"Li Na"	0.0815021
"Inger Miller"	0.0814504
"Greg Foster"	0.0813774
"Marion Jones"	0.0809242
"Frank Bruno"	0.0807208
"Rashid Sidek"	0.080098
"Jubilo Iwata"	0.0800821
"Olympiakos Piraeus"	0.0797206
"Gunda Niemann-Stirnemann"	0.0796633
Fredericks	0.0791436
"Alex Zanardi"	0.0783069
"Chen Gang"	0.0780915
"Sergi Bruguera"	0.0778873
"Karch Kiraly"	0.0778745
"Billy Boat"	0.0778092
"Isolde Kostner"	0.0774458
"Juha Kankkunen"	0.0770724
"Haile Gebrselassie"	0.0768723
"Leander Paes"	0.0766938
"Tom Steels"	0.0766839
Kwan	0.0765794
"Candra Wijaya"	0.0758321
"Gabriela Szabo"	0.075571
"Stacy Dragila"	0.0754818
Tomba	0.0752514
))
("Alexei Yagudin" (desc 2930.3) (sims
"Maria Butyrskaya"	0.409178
"Irina Slutskaya"	0.395488
"Alexei Urmanov"	0.376917
"Michael Weiss"	0.341634
"Elvis Stojko"	0.330705
"Todd Eldredge"	0.313185
"Elena Berezhnaya"	0.270624
"Michelle Kwan"	0.265531
Yagudin	0.265277
"Denis Pankratov"	0.240926
"Svetlana Masterkova"	0.228252
"Irina Privalova"	0.22564
"Anatoly Karpov"	0.222218
"Alexei Nemov"	0.212754
"Chen Lu"	0.208308
"Anjelika Krylova"	0.202956
"Paul Tergat"	0.202312
"Sarah Hughes"	0.199726
"Pavel Tonkov"	0.197458
"Tara Lipinski"	0.194807
"Svetlana Khorkina"	0.194154
"Garry Kasparov"	0.186971
"Alexander Popov"	0.182554
"Brooke Bennett"	0.170412
"Michael Von Gruenigen"	0.1696
"Penny Heyns"	0.168206
"Katarina Witt"	0.165766
"Jean-Philippe Gatien"	0.162029
"Johan Museeuw"	0.160179
"Blaine Wilson"	0.160162
"Fatuma Roba"	0.157591
"Deborah Compagnoni"	0.156881
"Michael Doohan"	0.156541
"Li Jiajun"	0.156232
"Linford Christie"	0.156184
"Allen Johnson"	0.155324
"Peter Rasmussen"	0.154425
"Wang Yifu"	0.153761
"Ivan Pedroso"	0.153629
"Oksana Baiul"	0.152808
"Heryanto Arbi"	0.152147
"Oksana Kazakova"	0.150702
"Ge Fei"	0.146945
Karpov	0.146658
"Rodney Eyles"	0.146231
"Tatiana Panova"	0.145083
"Deon Hemmings"	0.144848
"Maria Mutola"	0.142634
"Colin McRae"	0.142574
"Susie O'Neill"	0.141914
"Gunda Niemann-Stirnemann"	0.141872
"Max Biaggi"	0.140725
"Fu Mingxia"	0.140175
"Ye Zhaoying"	0.140126
"Wu Yanyan"	0.139646
"Moses Tanui"	0.139423
"Claudia Poll"	0.138522
"Kong Linghui"	0.138387
"Jansher Khan"	0.137591
"Marina Anissina"	0.137216
Sautin	0.137046
"Tommi Makinen"	0.136468
"Sandra Voelker"	0.135719
"Grant Hackett"	0.135688
"Miguel Indurain"	0.134918
"Liu Limin"	0.133723
"Samantha Riley"	0.13367
"Eddie Cheever"	0.133474
"Jacques Villeneuve"	0.133058
"Laurent Brochard"	0.133043
"Charles Austin"	0.132204
"Elena Dementieva"	0.131892
"Daniel Komen"	0.131612
"Kenny Brack"	0.130839
"Yevgeny Kafelnikov"	0.130362
"Stacy Dragila"	0.130057
"Buster Douglas"	0.12912
"Xiong Ni"	0.128223
"Tegla Loroupe"	0.12712
"John Godina"	0.125613
"Jan-Ove Waldner"	0.125542
"Hiroyasu Shimizu"	0.125262
"Kieren Perkins"	0.12433
Ottey	0.124134
"Tom Dolan"	0.123853
Devers	0.123439
"Li Xuemei"	0.123076
Doohan	0.122327
"Donovan Bailey"	0.12208
"Yang Yang"	0.121883
Shuwei	0.121848
"Derrick Adkins"	0.121041
"HANK KUEHNE"	0.120999
"Marat Safin"	0.120711
"Alex Zanardi"	0.12064
"Johnny Tapia"	0.120231
"Liu Guoliang"	0.119844
"Matt Kuchar"	0.11981
"Kostya Tszyu"	0.119536
"Damon Hill"	0.119135
"Vanessa Atler"	0.119039
"Martin Schmitt"	0.119
"Ivan Ivankov"	0.118168
"Deng Yaping"	0.117959
"Dan O'Brien"	0.117631
"Gail Devers"	0.117534
"Wang Nan"	0.117248
"David Reid"	0.117072
"Camilla Martin"	0.117029
"Jeff King"	0.116387
"Lasse Kjus"	0.116342
"Ato Boldon"	0.116293
"Liu Xuan"	0.116141
"Le Jingyi"	0.115932
"Lee Janzen"	0.115379
"Olin Browne"	0.115364
"Abraham Olano"	0.115332
"Roy Jones Jr."	0.114346
"Chris Boardman"	0.11425
"Peter Nicol"	0.114081
Butyrskaya	0.11403
"Dong Jiong"	0.1139
"Hilde Gerg"	0.113754
"MIka Hakkinen"	0.112875
"Katja Seizinger"	0.112808
"Paulie Ayala"	0.112634
Longo	0.11141
"Pernilla Wiberg"	0.111377
"Khalid Khannouchi"	0.111012
"Claudia Pechstein"	0.110702
"Zoran Primorac"	0.110626
"Maurice Greene"	0.11056
"Wang Junxia"	0.11039
"C.J Hunter"	0.11009
"Jorgen Persson"	0.110021
"Noureddine Morceli"	0.109835
"Christine Arron"	0.109577
"Marie-Jose Perec"	0.109326
"Inger Miller"	0.109118
Xie	0.108497
"Gil Morgan"	0.108237
"Gabriela Szabo"	0.107808
"Michael Johnson"	0.107238
"Merlene Ottey"	0.107217
Godina	0.10716
Susanti	0.10712
"Randy Barnes"	0.106947
Khorkina	0.106758
"Taufik Hidayat"	0.106562
"Cathy Freeman"	0.106461
"Sergei Bubka"	0.105886
"Kinder Bologna"	0.105273
"Susi Susanti"	0.104752
"Fiona May"	0.10461
"Peter Gade Christensen"	0.104372
Popov	0.104166
"Steve Backley"	0.103687
"Wang Tao"	0.103224
"American Pete Sampras"	0.103078
"Julius Francis"	0.102981
"Sonia O'Sullivan"	0.102938
"Felix Savon"	0.102785
"Ernie Els"	0.102705
Kasparov	0.102441
"Richard Krajicek"	0.102321
Zelezny	0.102294
"Frankie Fredericks"	0.102128
"Wilson Kipketer"	0.102094
Kipketer	0.101934
Kwan	0.101872
"Michael Schumacher"	0.101777
"Hermann Maier"	0.101337
"Shanghai Shenhua"	0.101225
"Arantxa Sanchez Vicario"	0.101172
"Vijay Singh"	0.100869
"Michael Klim"	0.100821
"Dalian Wanda"	0.100804
"Hale Irwin"	0.100223
"Bayi Rockets"	0.0996261
"Chicago Fire"	0.0993476
Lipinski	0.0989326
Villeneuve	0.0987725
"Elena Likhovtseva"	0.0987296
"Oliver McCall"	0.0984978
"Pat Rafter"	0.0980082
"Guo Jingjing"	0.097993
"Boris Becker"	0.0979184
"Mia Audina"	0.0978451
"Jackie Joyner-Kersee"	0.097779
"Regina Jacobs"	0.0973715
"Yu Zhuocheng"	0.0970118
"Gustavo Kuerten"	0.0967135
Waldner	0.0965097
"Jubilo Iwata"	0.0964054
"Isolde Kostner"	0.0962745
"Mark O'Meara"	0.0961779
Maier	0.0957758
"Serena Williams"	0.0957429
"Arantxa Sanchez-Vicario"	0.0953278
"Frank Bruno"	0.0952856
))
("Alexei Yashin" (desc 2804.79) (sims
Yashin	0.200773
"Ron Tugnutt"	0.179982
"Joe Thornton"	0.17476
"Pavel Bure"	0.15719
"Peter Forsberg"	0.153574
"Keith Tkachuk"	0.14548
"Eric Lindros"	0.135157
"Keith Primeau"	0.131739
"Sergei Fedorov"	0.129647
"Anson Carter"	0.128438
"Paul Kariya"	0.12729
"Doug Weight"	0.126293
"Alexei Kovalev"	0.119446
"Robert Reichel"	0.119214
"Joe Juneau"	0.118683
"Damian Rhodes"	0.116234
"Dmitri Khristich"	0.114494
"Peter Bondra"	0.114388
"Mats Sundin"	0.110552
"Hao Haidong"	0.109801
"Teemu Selanne"	0.10613
"Petr Nedved"	0.10465
"Lee Nailon"	0.102225
"Raul Diaz Arce"	0.101872
"Donald Audette"	0.101839
"Kenyon Martin"	0.100384
"Theo Fleury"	0.0993831
"John LeClair"	0.0976718
"Alen Boksic"	0.0971518
"Derrick Coleman"	0.0971094
"Jaromir Jagr"	0.0956822
"Steve Rucchin"	0.0952795
"Brian Scalabrine"	0.0950129
"Faustino Asprilla"	0.0943951
"Hu Weidong"	0.0938325
"Jeremy Roenick"	0.0929349
"Aaron Gavey"	0.0928488
"Kenny Thomas"	0.0920594
"Pavol Demitra"	0.0920027
"Cliff Ronning"	0.0918417
"Pierre Turgeon"	0.0911788
"Steve Yzerman"	0.0900305
"ZIGMUND PALFFY"	0.0894531
"Chris Porter"	0.0891264
"Matthew Barnaby"	0.0889105
"Hidetoshi Nakata"	0.0876033
"Harry Kewell"	0.0874696
"Corliss Williamson"	0.0873657
"Grant Long"	0.0871943
"Rick Tocchet"	0.0870755
"Bill Guerin"	0.0868529
"Chris Anstey"	0.0860132
"Olli Jokinen"	0.0855321
"Jozef Stumpel"	0.0849361
"Shane Doan"	0.0847051
"Joe Sakic"	0.0843516
"Ron Francis"	0.0839199
"Brian Skrudland"	0.0838345
"Greg Adams"	0.0836098
"Robert Traylor"	0.0835006
"Chris Drury"	0.0829715
"DeLisha Milton"	0.0823766
"Ted Donato"	0.0823635
"Joe Nieuwendyk"	0.0823394
"Predrag Mijatovic"	0.0822043
"Etan Thomas"	0.0821539
"Donyell Marshall"	0.0819129
"Raef LaFrentz"	0.0818565
"Jumaine Jones"	0.0818442
"Bobby Holik"	0.081693
"Vincent Damphousse"	0.081593
"Jennifer Gillom"	0.0811585
"Patrik Stefan"	0.0809641
"Theo Ratliff"	0.0807971
"Nwankwo Kanu"	0.0807238
"Guy Carbonneau"	0.0797487
"Yao Ming"	0.0796295
"Blake Sloan"	0.0796205
"Sergei Samsonov"	0.0793287
"Brian Laudrup"	0.0790173
"Brian Skinner"	0.078942
"Mike Sullivan"	0.0787565
"Dejan Savicevic"	0.07851
"Sun Wen"	0.0781418
"Jason Allison"	0.0780272
"Jarvis Turner"	0.0777602
"Vlade Divac"	0.0776596
"Chris Gatling"	0.0771166
"Scot Pollard"	0.0769665
"Kelvin Cato"	0.0764093
"Michael Peca"	0.0758083
"Ziggy Palffy"	0.0757474
"Sean Rooks"	0.0754844
"Oliver Bierhoff"	0.0754622
"Mike Miller"	0.0752914
"Kirk Muller"	0.0751524
"Dave Andreychuk"	0.0751066
"Mike Modano"	0.0749502
Sissi	0.0745787
"Tamika Catchings"	0.0745227
"Jason Kapono"	0.0744818
"Benoit Hogue"	0.0741869
"Alessandro Del Piero"	0.0740692
Suker	0.0739794
"Scott Thornton"	0.0737149
"Jermaine O'Neal"	0.0733622
"Tom Barrasso"	0.0733193
"Yolanda Griffith"	0.0731554
"Gabe Muoneke"	0.0731071
"Carlos Hermosillo"	0.0726712
"Eric Cantona"	0.072646
"Patrik Elias"	0.0723996
"Gheorghe Hagi"	0.0723726
"Todd Harvey"	0.072301
"Wang Zhizhi"	0.0722263
"Elden Campbell"	0.0721481
"Matt Harpring"	0.0719646
"Marcus Fizer"	0.071908
"Kyle McLaren"	0.0718567
"Sheryl Swoopes"	0.0718392
"Tony Amonte"	0.0718318
"Dale Hunter"	0.0718225
"Alexander Mogilny"	0.0717408
"Ali Daei"	0.0713905
"Juergen Klinsmann"	0.0710945
"Cobi Jones"	0.0710872
"Jeff Friesen"	0.0709062
"Horace Grant"	0.0708768
"Kevin Freeman"	0.070599
"Richard Jefferson"	0.0704932
"Diego Maradona"	0.0701168
"Jerome Moiso"	0.0700991
"Gary Roberts"	0.0699345
"Khodadad Azizi"	0.0698097
"Jake Voskuhl"	0.069584
"Rashard Lewis"	0.0695296
"Doug Gilmour"	0.0695125
"Chris Taylor"	0.0692769
"Niklas Sundstrom"	0.069263
"Brendan Shanahan"	0.069243
"Jayson Williams"	0.0692015
"Byron Dafoe"	0.0691302
"Brian McBride"	0.0690202
"Arvydas Sabonis"	0.0689143
"Jamie Langenbrunner"	0.0687531
"Grant Marshall"	0.0685467
"Chow Yun-Fat"	0.0684741
"Adam Oates"	0.0683734
"Juwan Howard"	0.0682599
"Ante Razov"	0.0682588
"Yanic Perreault"	0.0681118
"Vitaly Potapenko"	0.0680557
"Manny Malhotra"	0.0679579
Romario	0.0679288
"Danny Fortson"	0.0678461
Vieri	0.0675341
"Chris Crawford"	0.0673842
"Nikolai Khabibulin"	0.0673284
"Mia Hamm"	0.0670568
"Pat Verbeek"	0.0669941
"Derek Plante"	0.0667933
"Tyrone Nesby"	0.066791
"Shawn Marion"	0.0667473
"Luis Hernandez"	0.0666808
Khristich	0.0665858
"Bob Corkum"	0.0663553
"Cedric Ceballos"	0.066326
"Sean Elliott"	0.0663011
"Jere Lehtinen"	0.0662724
"Alan Henderson"	0.0659125
"Rebecca Lobo"	0.0651972
"Raul Gonzalez"	0.0651817
"Oliver Miller"	0.0651117
"Ian Laperriere"	0.0650923
"Mike Keane"	0.0648387
"Brett Hull"	0.0647743
"Dallas Drake"	0.0647727
"Dwight Yorke"	0.0647581
"Tim Thomas"	0.064562
"Shannon MacMillan"	0.0644736
"Eric Wynalda"	0.0643667
"Dennis Bergkamp"	0.0642772
"Wayne Gretzky"	0.0642186
"Antonio Davis"	0.064141
"George Weah"	0.0641308
"Travis Green"	0.0638873
"Tony Hrkac"	0.0638404
"Herb Williams"	0.0638264
Bure	0.0637941
"Travis Knight"	0.063292
"Anthony Mason"	0.0631354
"Lamond Murray"	0.0630161
"Wally Szczerbiak"	0.0627993
"Chamique Holdsclaw"	0.062704
"Joe Smith"	0.0625508
Reichel	0.062456
"Carlos Valderrama"	0.0623995
"Juha Ylonen"	0.0621762
"Tore Andre Flo"	0.0621175
"Dave Wohlabaugh"	0.0620738
))
("Alexei Zhitnik" (desc 1375.61) (sims
"Curtis Brown"	0.265793
"Dixon Ward"	0.256244
"Michael Peca"	0.202878
"Sergei Zubov"	0.185371
"Mattias Norstrom"	0.168774
"Richard Matvichuk"	0.163496
"Ken Daneyko"	0.146884
"Scott Niedermayer"	0.142865
"Vladimir Malakhov"	0.141343
"Al MacInnis"	0.139719
"Dave Manson"	0.13655
"Derian Hatcher"	0.136474
"Miroslav Satan"	0.134851
"Chris Pronger"	0.126213
"Nicklas Lidstrom"	0.12581
"Geoff Sanderson"	0.125212
"Sandis Ozolinsh"	0.124141
"Doug Bodger"	0.117579
"Shawn Chambers"	0.117227
"Scott Stevens"	0.116887
"Lyle Odelein"	0.112753
"Steve Duchesne"	0.111328
"Sean O'Donnell"	0.108352
"Bryan Berard"	0.1062
"Oleg Tverdovsky"	0.104914
"Larry Murphy"	0.104309
"Jyrki Lumme"	0.103278
"Matthew Barnaby"	0.103081
"Rob Blake"	0.102401
"Joe Juneau"	0.102041
"Garry Galley"	0.101616
"Marty McSorley"	0.0986701
"Teppo Numminen"	0.0981103
"Mathieu Schneider"	0.0972312
"Don Sweeney"	0.0963927
"Chris Chelios"	0.0957128
"Brian Leetch"	0.0956397
"Darren Van Impe"	0.0943148
"Kyle McLaren"	0.0924844
"Fredrik Olausson"	0.091652
"Aki Berg"	0.0891016
"Darryl Sydor"	0.0885231
"Ulf Samuelsson"	0.0883811
"Craig Ludwig"	0.0869482
"Paul Coffey"	0.0814036
Verbeek	0.07961
"Hal Gill"	0.0772735
"Petr Sykora"	0.076843
"Mats Sundin"	0.0752135
"Derek Plante"	0.0704408
"Ed Belfour"	0.0674246
Leetch	0.0672738
"Pat Verbeek"	0.0667166
"Alexander Mogilny"	0.0646986
"Jamie Langenbrunner"	0.0640163
PRONGER	0.0638403
"Ray Bourque"	0.0614567
"Matt Mieske"	0.0581004
Arnott	0.0576364
"Peter Bondra"	0.0569001
Hatcher	0.0567999
"Stern John"	0.0564834
"Eric Moulds"	0.0563434
Trepagnier	0.0562344
"Doug Gilmour"	0.055872
"Claudio Lopez"	0.0557784
"ZIGMUND PALFFY"	0.0557089
Stumpel	0.0552306
"Andre Reed"	0.0546625
"Doug Weight"	0.0546175
"Luc Robitaille"	0.0541137
"Joe McEwing"	0.0537268
"Gary Roberts"	0.0535839
"Mike Modano"	0.0528643
"Jon Sim"	0.0525808
Juneau	0.0520881
"Claude Lemieux"	0.0518858
"Steve Smith"	0.0516094
Sundin	0.050952
"Grant Marshall"	0.0506118
"Bobby Orr"	0.050452
Fedorov	0.0503363
Hendrickson	0.0494963
"David Trezeguet"	0.0488162
"Curtis Joseph"	0.0485167
"Bill Guerin"	0.0484241
"Paul Kariya"	0.048374
Heinze	0.0479995
"Bobby Holik"	0.0478443
"Alexei Kovalev"	0.0477765
Audette	0.0474534
Selanne	0.0457559
Peca	0.0456383
Keane	0.0455884
"Brett Hull"	0.0454217
"Joe Nieuwendyk"	0.0454044
"Keith Jones"	0.0452537
"Travis Green"	0.0452202
"Predrag Mijatovic"	0.0450917
"Pavol Demitra"	0.0449765
Lassiter	0.0445472
"Brian Skrudland"	0.0439343
"Dexter Coakley"	0.043905
"Dan Petrescu"	0.0434691
"Alexi Lalas"	0.0434352
"Patrik Elias"	0.0434247
Bichette	0.0431173
Hao	0.043066
"Hurricane Hugo"	0.0428509
"Phillip Cocu"	0.0428228
"Mark Loretta"	0.0427919
"Hao Haidong"	0.0425673
"four @-pointers"	0.0425499
"Scott Thornton"	0.0421278
Lafleur	0.0420368
"Ron Francis"	0.0419251
"Dale Hunter"	0.0416122
Milbrett	0.0415736
"Jay Pandolfo"	0.0412443
"Kevin Jordan"	0.0411485
"Matt Johnson"	0.0411371
Barrie	0.0409132
"SCOTT BURRELL"	0.0407983
Thuram	0.0406053
"Mario Stanic"	0.0404895
Samuelsson	0.0404633
"Adam Oates"	0.0402596
"Li Na"	0.0400885
Tarango	0.0400034
))
("Alexi Lalas" (desc 2839.26) (sims
"Tab Ramos"	0.297981
"Marcelo Balboa"	0.272531
"Eric Wynalda"	0.238055
"Tony Meola"	0.227555
"Jeff Agoos"	0.224357
"Eddie Pope"	0.22429
"John Harkes"	0.217528
Wynalda	0.185483
"Frankie Hejduk"	0.179815
Lalas	0.168464
"Thomas Dooley"	0.167182
"Claudio Reyna"	0.159235
"Ben Olsen"	0.142211
"Eddie Lewis"	0.13417
"Kasey Keller"	0.132011
"Roy Lassiter"	0.126724
"Greg Vanney"	0.117938
"Brian McBride"	0.114969
"Fan Zhiyi"	0.114528
"Joe-Max Moore"	0.112681
"Hristo Stoichkov"	0.110615
Harkes	0.109934
"Brandi Chastain"	0.106047
"Cobi Jones"	0.103786
"Paul Caligiuri"	0.100103
"Lothar Matthaeus"	0.0985343
"Hidetoshi Nakata"	0.0979597
"Gheorghe Hagi"	0.0979308
"Hu Weidong"	0.0974307
"Carlos Valderrama"	0.094685
"Mike Burns"	0.0935449
"Jaap Stam"	0.0909175
"Khodadad Azizi"	0.0834478
"Brad Friedel"	0.0833749
"Robin Fraser"	0.083127
"Marcel Desailly"	0.0801068
"Carla Overbeck"	0.0786856
"Laurent Blanc"	0.0773149
"Kate Sobrero"	0.0744703
"Johan Cruyff"	0.0737449
"Lilian Thuram"	0.07338
"Hao Haidong"	0.0733596
"Ali Daei"	0.071569
"Fernando Hierro"	0.0713041
"Robert Jarni"	0.0712428
Romario	0.0710601
Preki	0.0710033
"Juergen Klinsmann"	0.0707868
"Michelle Akers"	0.0699727
"Mia Hamm"	0.0697914
"Joy Fawcett"	0.0691122
"Trace Armstrong"	0.0680927
"Tony Adams"	0.0677596
"Thomas Haessler"	0.0676411
"Franz Beckenbauer"	0.066734
"Diego Maradona"	0.065428
"Marco Etcheverry"	0.0650837
Zico	0.0645757
"Bobby Charlton"	0.0644823
"Eric Cantona"	0.0643032
"Craig Ludwig"	0.0638798
"Wang Tao"	0.063531
"Roberto Baggio"	0.0634064
Pele	0.0632255
Tarango	0.0628546
"Paolo Maldini"	0.0626629
"Ian Wright"	0.0622979
"Kristine Lilly"	0.0619289
"Juwan Howard"	0.0618632
"Sol Campbell"	0.0614211
"Paul Gascoigne"	0.0613387
Felipe	0.0610427
"Sinisa Mihajlovic"	0.060847
"Carlos Hermosillo"	0.0605509
"Roberto Carlos"	0.0599783
"Julie Foudy"	0.0598562
"John Vanbiesbrouck"	0.059656
"Chris Klein"	0.0592827
"Yao Ming"	0.0585244
Aldair	0.0579288
"Tony Amonte"	0.0571036
Cafu	0.0569418
"Wang Zhizhi"	0.0562915
"Chris Pronger"	0.0560137
"Frank de Boer"	0.0560131
Djorkaeff	0.0557498
"Michel Platini"	0.0557015
"George Weah"	0.0556011
"Michael Owen"	0.0554813
Chastain	0.0553362
"Greg Adams"	0.0550829
"Alessandro Del Piero"	0.0545173
"Gary Neville"	0.0538764
"Sheryl Swoopes"	0.0532015
McKeon	0.0529543
Welton	0.0527885
Mcbride	0.0525528
"Predrag Mijatovic"	0.0524517
"Ulf Samuelsson"	0.0523891
"Dan Petrescu"	0.0522682
"Zinedine Zidane"	0.0513605
"Junior Baiano"	0.0513181
"Michael J. Fox"	0.0511581
Bebeto	0.0511014
"Zbigniew Brzezinski"	0.0509463
"Derrick Thomas"	0.0505181
"Al Unser Jr."	0.0500322
"Leelee Sobieski"	0.0499881
"Stan Collymore"	0.0498181
"Blaine Wilson"	0.0497336
Reyna	0.0497226
"Christian Karembeu"	0.0496357
"Gianluca Vialli"	0.0496244
"Yolanda Griffith"	0.0495822
Baggio	0.0495708
"Jose Luis Chilavert"	0.0495688
capella	0.0491642
"Emmanuel Petit"	0.0490719
"Ken Daneyko"	0.0490168
"Norm MacDonald"	0.0489036
"Paul Ince"	0.0485116
"Ron Artest"	0.0483483
"Dennis Bergkamp"	0.0483077
"Chow Yun-Fat"	0.0482843
"Bill Elliott"	0.0480761
"Darryl Sydor"	0.0480454
"Herb Williams"	0.0480251
"Ronald de Boer"	0.0476608
"Joe McEwing"	0.0475576
"Nwankwo Kanu"	0.0474399
"Pat Verbeek"	0.0472381
"David Beckham"	0.0470772
"Fabrizio Ravanelli"	0.0470452
"Fabien Barthez"	0.0469751
"Mike Keane"	0.0469686
"Faustino Asprilla"	0.0467463
"Sandis Ozolinsh"	0.0466897
"Andre Rison"	0.0466667
"Clyde Drexler"	0.0466066
"Youri Djorkaeff"	0.0463552
Szczerbiak	0.0462798
"Isiah Thomas"	0.0461683
"Courtney Brown"	0.0459654
"Harry Kewell"	0.0459587
"A.C. Green"	0.0459122
"Bryan Berard"	0.0458948
"Dejan Stankovic"	0.0457494
"Guy Carbonneau"	0.0457483
"Ray Ferraro"	0.0455868
"Koji Ito"	0.0454218
"Chris Porter"	0.0454211
Hagi	0.0454035
"Mattias Norstrom"	0.0453286
"Shannon MacMillan"	0.0453178
"John Salley"	0.045202
"Ante Razov"	0.0452005
Leonardo	0.0451588
Atkins	0.0450751
"Davor Suker"	0.0450314
"Sergei Zubov"	0.0449984
"Sela Ward"	0.0445275
"Jumaine Jones"	0.044484
Hejduk	0.0444746
"Nikki McCray"	0.0441027
"Dale Hunter"	0.043953
"Alan Shearer"	0.0439266
"Tim Allen"	0.0437084
"Clarence Seedorf"	0.0436287
Tarawneh	0.043613
"Garry Galley"	0.0436034
"Cindy Parlow"	0.0435723
Balboa	0.0435651
"Cynthia Cooper"	0.0435007
"Derek Harper"	0.0434614
"Alexei Zhitnik"	0.0434352
"Ulf Kirsten"	0.0430217
"Raul Diaz Arce"	0.0425507
"Oleg Tverdovsky"	0.0425167
"Luc Robitaille"	0.0424456
"Ricky Moore"	0.0424092
"Dominique Wilkins"	0.0423985
"Robert Prosinecki"	0.0422942
"Jayson Williams"	0.0422441
"Michael Finley"	0.0421596
"won @-@"	0.04211
"Bryon Russell"	0.0420106
"Julius Erving"	0.041943
"Jackie Chan"	0.0419137
"Brian Laudrup"	0.04183
"Briana Scurry"	0.0418239
"Reggie White"	0.0416174
"Grant Long"	0.0415043
Yorke	0.0414503
"Dennis Johnson"	0.0414062
"Renzo Furlan"	0.0413995
"Bobby Orr"	0.0413892
"Halle Berry"	0.0413752
"Dino Baggio"	0.0413401
Edmundo	0.0411984
"Paul Kariya"	0.0411617
))
(Alexie (desc 1800.51) (sims
Chappell	0.142402
Vonnegut	0.137191
Welty	0.121358
McMurtry	0.120838
Hamill	0.115725
Puzo	0.112239
Cornwell	0.111689
Groening	0.108058
Halberstam	0.106271
HELLER	0.10434
Dubus	0.102292
Guralnick	0.100234
Farnsworth	0.0954335
Betts	0.0935904
Kincaid	0.0928717
LaBute	0.0910593
Pollack	0.0896372
Silverstein	0.0894612
McEwan	0.0885181
Darnell	0.0881607
Harr	0.0878871
Andreessen	0.0869359
Cleese	0.0863223
Solzhenitsyn	0.0847235
Heaney	0.0843179
Brosnan	0.0838284
Theroux	0.0826642
Vogel	0.0822172
Naipaul	0.0821927
Lowry	0.0818398
BRIER	0.0817317
Edelstein	0.0814962
Wolfe	0.0807785
McMillan	0.0802978
Fleischer	0.0798388
Posner	0.0795566
Felton	0.078706
Allard	0.0785659
Remnick	0.0784093
Weil	0.0779286
Bloch	0.0778207
Saramago	0.0772992
Rowling	0.0771766
hodgson	0.0770122
Truffaut	0.0768752
Lindbergh	0.0768127
Eichmann	0.0766495
Hirsch	0.0764396
Susann	0.0757001
Updike	0.075364
Carre	0.0752561
Coen	0.0751439
Gullikson	0.0749131
Farber	0.0748778
Harbison	0.0747802
Sheehy	0.0746354
Naumann	0.0742855
Orwell	0.0740467
Hauser	0.0738538
Parrott	0.0734893
Purdy	0.0733501
Duchovny	0.0732923
Boyle	0.0727772
Nabokov	0.0726907
Morrison	0.0726293
Salinger	0.071918
Halloran	0.0717516
Krugman	0.0705095
Rushdie	0.0703816
Rosenbaum	0.070378
Sobel	0.0703771
Rivlin	0.070233
Tomlin	0.0701859
amis	0.0701652
Hawley	0.0697899
McKenna	0.0696997
singer-songwriter	0.0696932
Connelly	0.0694057
Neff	0.0691101
Cusack	0.069049
Stephenson	0.0688379
Pushkin	0.0688284
Padilla	0.0685244
Mayer	0.0681787
Winkler	0.068174
Weiner	0.0681587
Junger	0.0679712
Lehane	0.0678184
Baugh	0.0677608
Jorgensen	0.0677231
LeBlanc	0.0677073
Ruehe	0.0675007
Bingham	0.067402
Drury	0.0673805
Larson	0.0672304
Crowe	0.0671884
Dickinson	0.0670626
Benigni	0.0667155
Moser	0.0666656
Atwood	0.0664427
Milbury	0.0663278
Spence	0.0661045
Goldin	0.06578
Sade	0.0656506
Doyle	0.0656363
Heche	0.0654374
Brokaw	0.0654205
Bochy	0.0648444
Rowan	0.0643461
Burroughs	0.0643432
Slocum	0.0643283
REEVE	0.0642352
Schuerholz	0.0641625
Herrera	0.0640654
Borges	0.0638216
Rosenthal	0.0636688
Cline	0.0636546
Sather	0.0635687
Kidder	0.0633878
Wilder	0.0633558
Reiner	0.0630269
Weldon	0.0628814
Plante	0.0627645
Menchu	0.0627517
Saleh	0.0625363
Ivey	0.0622973
"Larry McMurtry"	0.0621274
Lurie	0.0620575
Sartre	0.0619616
Clooney	0.0619514
Adler	0.0619398
"John Irving"	0.0618963
Yamamoto	0.0618675
Hefner	0.0618148
Proust	0.0617512
Eliot	0.0616237
Hadley	0.0615461
Harman	0.0614864
Stillman	0.0613181
Soderbergh	0.0613141
Isikoff	0.0612849
Fitzgerald	0.0607651
Shelley	0.0607513
Rubenstein	0.0606685
MAMET	0.0606073
Earle	0.0605945
Hartley	0.0605504
Hamlin	0.0605437
Calhoun	0.0605299
Layden	0.0603866
Carollo	0.0599547
Ponciano	0.0598579
Thurber	0.0595857
Kissinger	0.0593342
Hirst	0.0592903
Vaughan	0.0592758
Dragila	0.0592623
Diggs	0.0591761
Solondz	0.0591405
Wolff	0.05891
Henley	0.0588712
Klemperer	0.0587078
Wildhorn	0.0586538
Ingalls	0.0586143
hare	0.0585328
Muckler	0.0585213
Carlson	0.0584524
Hersh	0.0583982
Nietzsche	0.0582227
Hester	0.0578687
DERSHOWITZ	0.0578643
Wenger	0.0577677
Mahoney	0.0577589
Sibley	0.0576789
Verney	0.0576109
beamer	0.0576029
Hine	0.0575788
Finney	0.057574
Osgood	0.057572
Skiles	0.0575383
Faulkner	0.0574633
Forrest	0.0574521
Blount	0.0574516
Swenson	0.0573901
Slater	0.0573685
Plunkett	0.0573655
Trollope	0.0573056
Ceballos	0.0572886
Ellison	0.057241
Wolfson	0.0572176
Cianci	0.0571087
"T.S Eliot"	0.0570741
Okada	0.0570691
Summitt	0.05699
Wynn	0.0567621
Leyland	0.0567514
Caray	0.056528
Quintero	0.0564967
Greenwald	0.0564542
Williamson	0.056426
))
(Alexis (desc 3652.93) (sims
Meg	0.0775079
Polly	0.0762502
JonBenet	0.0740418
Hybl	0.0739232
Jamie	0.0724549
Emily	0.0704914
beamer	0.0687705
Rodney	0.0687621
Sasha	0.0686605
Kathy	0.0685469
Katie	0.0681278
Herron	0.0678215
Ricky	0.0676621
Okada	0.0663759
Renee	0.0655391
Jenny	0.0655292
Jessica	0.0649158
Heinrichs	0.0645129
Carl	0.0644524
Kathleen	0.0643861
Hannah	0.0641226
Jennifer	0.0640038
Eileen	0.0615379
Shirley	0.0611754
Rubenstein	0.061163
Lynn	0.0596141
"Karenna Gore Schiff"	0.0594755
Alexandra	0.0593627
Hadley	0.0588101
Juli	0.0583561
Michelle	0.0576797
Danielle	0.0565763
Samantha	0.0563099
DiPietro	0.0562177
Aurelio	0.0550703
Judith	0.0549946
Justin	0.0548201
Perrot	0.0548027
Finkel	0.0547781
Alex	0.0546975
Susan	0.054253
Samuel	0.0541938
Brooke	0.0540084
Barros	0.0538818
Olga	0.0538645
Karenna	0.0538414
Meredith	0.0537412
Jessie	0.0537343
Andrea	0.0537065
Tomey	0.0535839
Courtney	0.0534815
Stacy	0.0532084
Fleischer	0.0529894
Halberstam	0.0528313
Alexie	0.0527584
Abernathy	0.0526522
Danny	0.0524765
Brandi	0.0522722
Sheppard	0.0522025
Ulrich	0.0520252
Linda	0.0518118
Winkler	0.0516148
Schmitt	0.0515784
Vaughan	0.0515417
Amanda	0.0515339
Sapp	0.051391
Ashley	0.0513793
Storin	0.0511938
Forrest	0.0511127
Robert	0.051098
Linus	0.0509297
Darnell	0.0508883
Kristin	0.050709
Leigh	0.0505308
Andrew	0.0504543
Lori	0.0503602
Hirsch	0.0503224
Faison	0.0499187
Keith	0.0498725
Britton	0.0497433
Debbie	0.0497156
Lou	0.0496827
Pennington	0.0496812
McLaughlin	0.049645
Ella	0.0494649
Audrey	0.0493862
Sobel	0.0491832
Stephanie	0.0491809
Rove	0.0491809
Manuel	0.0489723
Jolie	0.0487612
Kenyon	0.048726
Lehane	0.0485733
Larson	0.0485729
Jill	0.0484139
Barbara	0.0483592
Erica	0.0483542
Christine	0.0483532
Jorgensen	0.0483375
Angelica	0.0481102
Passarella	0.0480242
Molly	0.0480176
Paxton	0.0480141
Yoon	0.0479782
Felton	0.0478514
wen	0.0478247
Dickinson	0.0477951
Vogel	0.0477361
Hickman	0.0477118
Matthew	0.047699
Irina	0.0476021
Copeland	0.0475406
Zachary	0.0473971
Ben	0.0472846
anna	0.0472037
Rowan	0.0471923
LANIER	0.0471581
Brett	0.0471203
Shannon	0.0470545
Miguel	0.0470156
Padilla	0.0469865
Kuehne	0.046942
Julie	0.0469285
Sarah	0.0468876
Nicole	0.0468155
Brandon	0.0467884
Katherine	0.0467285
Pamela	0.0466976
Amy	0.0466284
Gatti	0.0466089
Moreno	0.0465375
Russ	0.0465282
Hartsburg	0.0464898
McGregor	0.0464697
"La Russa"	0.0463846
Callie	0.046348
Betts	0.0461331
Christie	0.0460157
Steve	0.045907
Sang	0.0458952
Paulina	0.0458749
Cristina	0.045812
Brian	0.0456949
Anne	0.0456461
Swenson	0.0455173
Rosenthal	0.045513
Bartlett	0.0455078
Rollins	0.0454915
Paltrow	0.0454016
Cremins	0.0453809
Eric	0.0453156
Tharp	0.0452331
Henley	0.0452261
Casey	0.0452018
Julia	0.0451689
Ralph	0.0451673
Caroline	0.045108
Sheehan	0.0451043
Groening	0.0450918
Doris	0.0450097
Emma	0.0449681
Boles	0.0449483
Larry	0.0449084
Ainge	0.0449032
Gerard	0.0448902
Tracy	0.0448596
Jorge	0.0447775
Brock	0.0447586
Abram	0.0447068
Bray	0.0446412
Lowry	0.0445468
Saunders	0.0445387
Voskuhl	0.0444695
Tian	0.0444173
Heidi	0.0443897
Henry	0.0443392
alicia	0.0442928
DERSHOWITZ	0.044215
"Joe Lockhart"	0.0441541
McKinnon	0.0441386
Royce	0.044018
Sara	0.0440118
Jesse	0.0439888
Mahoney	0.0439676
Christina	0.0439213
Quigley	0.0439077
Zuckerman	0.0439041
Ellen	0.0438466
"administration official"	0.0437889
Richard	0.0436978
Evan	0.043587
Connor	0.043585
Ouattara	0.0435508
Marisleysis	0.0435416
McCombs	0.0435338
Anthony	0.0435213
Ingram	0.0434968
Posner	0.0433682
Berenson	0.0433164
Sophie	0.0432251
))
("Alexis Herman" (desc 3146.25) (sims
"William Daley"	0.215103
"Robert Rubin"	0.194124
"Dan Glickman"	0.184442
"Donna Shalala"	0.181664
"Mike Espy"	0.170967
"Robert Reich"	0.161782
"Henry Cisneros"	0.157936
"Richard Riley"	0.155016
"National Security Adviser Sandy Berger"	0.135593
"Huang Ju"	0.1323
"Bruce Babbitt"	0.125763
"Rodney Slater"	0.121055
"Lawrence Summers"	0.11934
"Stuart Eizenstat"	0.115061
"Khin Nyunt"	0.113247
"Robert E. Rubin"	0.111014
"Bill Richardson"	0.110279
"Jia Qinglin"	0.109676
Verney	0.107441
"Orlando Mercado"	0.106472
"Jim Nicholson"	0.104729
Ruehe	0.102569
Strauss-Kahn	0.101806
"William Cohen"	0.101601
"administration official"	0.10156
"William S. Cohen"	0.100659
Jayakumar	0.0996724
"Defense William Cohen"	0.0992238
"William Perry"	0.0990619
Barshefsky	0.0978311
"Barry McCaffrey"	0.096995
"Ron Brown"	0.0966822
"Gene Sperling"	0.0961533
Mukora	0.094935
"Warren Christopher"	0.0947757
"Tin Oo"	0.0928792
Azizah	0.0905315
Herman	0.0903318
"Richard Holbrooke"	0.090303
"Andrew Cuomo"	0.0889529
Aventajado	0.0888712
"Alan Greenspan"	0.0887401
"Wei Jianxing"	0.0876993
"Michael Portillo"	0.0873672
"Sergei Stepashin"	0.0867579
Maslyukov	0.0865253
Piot	0.0862811
Atwood	0.0861137
"Janet Reno"	0.0854235
"Ivan Kostov"	0.0848511
"Christopher Cox"	0.084159
"Secretary of Defense"	0.0837309
"Robin Cook"	0.0836413
"Marzuki Darusman"	0.0834478
Harmoko	0.0831077
Alatas	0.0823518
Prewitt	0.0822072
"George Robertson"	0.0821393
"William Bennett"	0.0818181
Condit	0.0809706
Chissano	0.0805958
Insulza	0.080595
Meissner	0.0804718
"Henry Shelton"	0.0799125
Hybl	0.0797047
Finkel	0.0793327
Shalala	0.0793199
"Than Shwe"	0.0793158
Joklik	0.0792016
"Betty Currie"	0.0786908
Beilin	0.0786768
"Dick Pound"	0.0785487
Gosper	0.0784706
"John Sweeney"	0.0771632
Milbury	0.077066
Polian	0.0766989
"Anson Chan"	0.07662
"Michel Camdessus"	0.0765271
Leavitt	0.0760374
Husseini	0.0756116
Mandelson	0.0755337
Mikhailov	0.0750417
"Eric Holder"	0.0744723
"Viktor Chernomyrdin"	0.0744236
Gauthier	0.0741332
Solich	0.0739913
"Yossi Sarid"	0.0738881
"Vladimir Putin"	0.0738398
Moyo	0.0737078
Bruton	0.0734968
Brundtland	0.0732998
"Fayez Tarawneh"	0.0732894
"Peter Mandelson"	0.0732495
Moakley	0.0731586
Zucker	0.0730728
Fleischer	0.0730523
"Gennady Seleznyov"	0.0725392
"Pascoal Mocumbi"	0.0725195
Aguirre	0.0723804
Shamshad	0.0723189
"Alexander Lebed"	0.0722084
Surin	0.0719773
"Gerald Levin"	0.0718675
Narayanan	0.0718103
Rossotti	0.0716733
Zuma	0.0716465
Ebersol	0.0714444
Cowan	0.0712995
"Jack Valenti"	0.0712005
Hauser	0.0710103
Rais	0.0709424
Singson	0.0705983
"Ricardo Alarcon"	0.0703334
"Robert Aventajado"	0.0703097
Gurirab	0.0702663
"Lamar Smith"	0.0701295
Klima	0.0699804
Lehane	0.0698486
"Mikhail Kasyanov"	0.0693639
Seleznyov	0.0691189
Sumaye	0.0689598
Bettman	0.0688426
Jovanovic	0.0687147
Waxman	0.0686665
Solis	0.0686009
Coia	0.0684239
Ruggiero	0.0682001
"Jack Straw"	0.0680788
Carollo	0.0679005
Tuberville	0.0676689
Paez	0.0676312
Kyprianou	0.0675879
"Alexander Hamilton"	0.0675413
Satcher	0.067526
Dodik	0.0673212
Inhofe	0.0671667
Paxon	0.0671324
Garvey	0.0670879
"Bill Lann Lee"	0.0670865
"Hanan Ashrawi"	0.0668842
Babbitt	0.0667617
"John Prescott"	0.0667421
Constantinescu	0.0666666
"Dan Meridor"	0.0666563
"Eli Broad"	0.0666211
"Valery Pustovoitenko"	0.0665828
Amato	0.066553
Barros	0.0664369
"Secretary of Commerce"	0.0664069
Troussier	0.0663654
Choate	0.0662909
"Tony Coelho"	0.0660748
Difrancesco	0.0660561
Siazon	0.0660115
Rong	0.0659929
"Phan Van Khai"	0.0659274
Majali	0.0658436
"H.D Deve Gowda"	0.0658151
Diouf	0.0658041
Holbrooke	0.0654967
"Mo Mowlam"	0.0654776
Bildt	0.0654746
Blatter	0.0653964
Markey	0.065348
Schuessel	0.0652301
"Faisal Husseini"	0.065222
McCurry	0.0651855
Wolfensohn	0.0651478
Storin	0.0651186
Ikimi	0.0650162
Juppe	0.0650089
"Sandy Berger"	0.0649679
LaPierre	0.0647832
Daley	0.0647214
Dougherty	0.0646649
Rosenthal	0.0645255
Donohue	0.0645158
Zeng	0.0644937
ISSEL	0.064484
Bakaly	0.0644538
Ratliff	0.0644238
Shays	0.0644156
Brittan	0.0643995
"Harold Ickes"	0.0643882
"Wesley Clark"	0.064359
"Dai Bingguo"	0.0643562
Blumenthal	0.0641526
McGuinness	0.0640354
R-Del.	0.0640278
Aleman	0.0639892
Shevardnadze	0.0639771
Jia	0.0638856
"Chea Sim"	0.0638719
Stroyev	0.0637917
Lessig	0.0637683
Rawabdeh	0.0636832
Passarella	0.0635524
Rendell	0.0634463
Devine	0.0634325
"Bill Archer"	0.0634278
))
(alfalfa (desc 2773.5) (sims
sorghum	0.240351
"sugar beet"	0.228777
sunflower	0.181118
buckwheat	0.161984
barley	0.159666
sugarcane	0.156453
rapeseed	0.153961
oilseed	0.15388
oat	0.153289
soybean	0.152315
"sugar cane"	0.147454
clover	0.144223
canola	0.141585
cassava	0.123777
wheat	0.12089
corn	0.119955
"soya bean"	0.117014
watermelon	0.115582
millet	0.113611
maize	0.112624
"citrus fruit"	0.10985
hay	0.106227
rye	0.105924
soya	0.10557
peanut	0.101686
cotton	0.100765
pea	0.100454
potato	0.0990444
bean	0.0986848
coca	0.0977601
melon	0.0976837
groundnut	0.0973331
"sweet potato"	0.0969207
"sweet corn"	0.0926208
beet	0.0923251
radish	0.0916737
sisal	0.0881246
cabbage	0.0847929
"sunflower seed"	0.0837244
"brown rice"	0.0821154
Collard	0.0820502
Broccoli	0.0817778
Milo	0.0817369
grape	0.0816762
bran	0.0794699
sesame	0.0782085
lettuce	0.0776187
"opium poppy"	0.0773935
"cashew nut"	0.0768946
poppy	0.0751143
"Chinese cabbage"	0.07455
lentil	0.0740675
"soybean oil"	0.0731575
nectarine	0.0730962
banana	0.0725807
cocoa	0.072347
soy	0.0722954
pineapple	0.0713861
hog	0.0711287
paddy	0.070351
blueberry	0.0697235
"string bean"	0.0689898
agave	0.068042
tangerine	0.0680091
okra	0.0678382
"peanut oil"	0.0677282
mango	0.067113
Livestock	0.065192
"green bean"	0.0648609
citrus	0.064242
onion	0.0642076
"bamboo shoot"	0.0640801
pumpkin	0.0636725
apricot	0.0634475
spinach	0.0628248
hemp	0.0625778
legume	0.0603785
poultry	0.0602911
Endive	0.0592294
tapioca	0.0585845
Burley	0.0582099
smallholder	0.0580075
sod	0.0576864
"lima bean"	0.0574375
"collard greens"	0.0574018
asparagus	0.0573551
mint	0.057093
plum	0.0569756
"oil palm"	0.0569648
eggplant	0.0569369
"futures price"	0.0564807
pear	0.0563665
"sesame seed"	0.0560202
cashew	0.0558263
fescue	0.0557629
papaya	0.0554419
grapefruit	0.0552971
peach	0.0552283
"root vegetable"	0.0540505
"green onion"	0.0538406
wildflower	0.0535819
plantain	0.0533636
walnut	0.052939
oatmeal	0.0527293
bhang	0.0526932
vanilla	0.0526499
carrot	0.0523915
arugula	0.051925
silkworm	0.0518615
raspberry	0.0507398
"roast beef"	0.0501325
rayon	0.0500414
pecan	0.0496108
blackberry	0.0495326
parsley	0.0493775
"hard-boiled egg"	0.0493197
cacao	0.0491269
mesclun	0.0491256
"poppy seed"	0.0491118
Mulberry	0.0487911
yam	0.0482628
Quince	0.0476993
turnip	0.0476472
veggie	0.0469319
"hot pepper"	0.0468229
swine	0.0467569
"dry land"	0.0465248
"green pepper"	0.0463311
kudzu	0.046107
cilantro	0.0457721
fig	0.0454757
flax	0.0454474
"Vidalia onion"	0.0453592
artichoke	0.0451511
coconut	0.0448846
parsnip	0.0446615
"cooking oil"	0.0446582
"coca crop"	0.0446428
"black-eyed pea"	0.0444501
celery	0.0441533
licorice	0.0439746
houseplant	0.0435389
fennel	0.0434431
leek	0.0433923
coleslaw	0.0432768
subsistence	0.043092
jute	0.042829
"wheat flour"	0.0426336
zucchini	0.0422879
"shiitake mushroom"	0.0422589
eucalyptus	0.0421653
cucumber	0.0421026
chive	0.0420439
honeysuckle	0.0419849
duckling	0.0418644
shamrock	0.041775
jalapeno	0.0416757
acorn	0.0415615
seedling	0.0413162
Chili	0.0409414
"three words"	0.040729
"dairy product"	0.0406839
chiles	0.0406407
peppermint	0.0405847
sauerkraut	0.0402571
pistachio	0.0400954
cardamom	0.0400922
))
("Alfonse D'Amato" (desc 3377.92) (sims
"Fob James"	0.184651
"Lauch Faircloth"	0.164112
"Al D'Amato"	0.159658
"John Ashcroft"	0.149942
"Dennis Vacco"	0.146019
"Sherwood Boehlert"	0.145693
"Mike Foster"	0.143261
"Barbara Boxer"	0.141523
"Paul Coverdell"	0.137596
"Michael Forbes"	0.135948
"Dianne Feinstein"	0.134283
"Mario Cuomo"	0.132174
"Daniel Patrick Moynihan"	0.12843
"New York Democrat"	0.125856
"Biljana Plavsic"	0.122136
"Ann Richards"	0.12102
"Jim Bunning"	0.120969
D'Amato	0.117851
"Charles Schumer"	0.114055
"Russell Feingold"	0.114007
"David Beasley"	0.112414
"James Jeffords"	0.111333
"Rick Santorum"	0.107929
"Sue Kelly"	0.106734
"Susan Molinari"	0.106389
"Slade Gorton"	0.106353
"Peter Fitzgerald"	0.106332
"George Pataki"	0.106122
"John Danforth"	0.105653
"Kay Bailey Hutchison"	0.105583
"Pete Wilson"	0.102072
"Charles E. Schumer"	0.101207
"Jack Quinn"	0.101187
"Harry Reid"	0.100953
"Spencer Abraham"	0.100318
"Kit Bond"	0.0990312
"Rick Lazio"	0.0984124
"Sam Brownback"	0.0973185
"John Chafee"	0.0960791
"John Rowland"	0.0957496
"Carolyn Maloney"	0.0943033
"Amo Houghton"	0.0932895
"Charles Robb"	0.0914462
"Nita Lowey"	0.0903393
"Charles Rangel"	0.0901388
"Susan Collins"	0.0897701
"Willie Brown"	0.0891687
"George Voinovich"	0.0883485
"Jesse Helms"	0.0875965
"Dan Lungren"	0.0875194
"Eliot Spitzer"	0.0874049
"Benjamin Gilman"	0.0857605
"Arlen Specter"	0.0850152
"Peter King"	0.0847352
"Connie Mack"	0.0847249
"Mark Green"	0.0844102
"Charles Grassley"	0.0819989
"Mike DeWine"	0.0812363
D-N.Y.	0.0810542
"Strom Thurmond"	0.0809151
"Bill Frist"	0.0804211
"Christie Whitman"	0.0792008
"Paul Patton"	0.0788063
"Frank Lautenberg"	0.0777352
"Jon Kyl"	0.0776019
"Warren Rudman"	0.0775763
"Orrin Hatch"	0.0775114
"Tom Harkin"	0.0774456
"William Weld"	0.0770078
"Carol Moseley-Braun"	0.0763127
"Olympia Snowe"	0.075658
"Lowell Weicker"	0.07563
Bruno	0.0751624
"Gary Johnson"	0.0739412
"John Sweeney"	0.0718339
"Bob Graham"	0.0717553
"Jim Kolbe"	0.0714189
"Phil Gramm"	0.0708668
"Geraldine Ferraro"	0.0706304
"Gordon Smith"	0.0702751
"Bill McCollum"	0.0699887
"North Carolina Republican"	0.0695278
Comptroller	0.0693262
"Edward M. Kennedy"	0.0684032
"Pete Domenici"	0.0672026
Ashcroft	0.0667314
"James Rogan"	0.066425
"Carolyn McCarthy"	0.0662456
"John Engler"	0.0662424
"J.C. Watts"	0.0661341
"Linda Smith"	0.0654514
"Bob Kerrey"	0.0651842
"Mitch McConnell"	0.0649106
"Tommy Thompson"	0.0642396
R-N.Y.	0.0634774
"Patty Murray"	0.0634513
"Chuck Hagel"	0.0632067
"Rod Grams"	0.0631707
"Jim Florio"	0.0631112
"Guy Millner"	0.0627806
"Lincoln Chafee"	0.0622633
"Ben Nighthorse Campbell"	0.0620731
Hayworth	0.0620164
"Ted Stevens"	0.0618902
"George E. Pataki"	0.0618765
"Arizona Republican"	0.0614345
Vacco	0.0614109
"Jim Gilmore"	0.0609363
"Barney Frank"	0.060642
"Richard Lugar"	0.060552
"Jane Hull"	0.0603194
"George Ryan"	0.0602604
"Rick White"	0.0602313
"Ted Kennedy"	0.0601444
"John Breaux"	0.0600775
"Gary Hart"	0.0600604
"Frank Murkowski"	0.0592223
"Ernest Hollings"	0.0592091
Amato	0.0590789
R-Texas	0.0586155
Tierney	0.0585647
"Matt Fong"	0.0584812
"Paul Cellucci"	0.0581913
"Lawton Chiles"	0.0575626
"Russ Feingold"	0.0573964
"Tom Ridge"	0.0570791
Shui-bian	0.0568925
Moynihan	0.0567426
"John Edwards"	0.05652
"John Connally"	0.0565096
Cuomo	0.0563681
"Bob Smith"	0.0562381
"John G. Rowland"	0.0558599
"Tom Campbell"	0.0557713
assemblyman	0.0556765
"Richard Shelby"	0.0555673
"Jackson State"	0.0550393
"Bob Franks"	0.0546676
"John Kerry"	0.053825
Beasley	0.0537435
"Buddy MacKay"	0.053559
congresswoman	0.0534385
Feinstein	0.0531675
"lieutenant governor"	0.05312
"Dan Coats"	0.0530461
"George Bush"	0.0530441
"Massachusetts Democrat"	0.0529458
"Patrick Leahy"	0.0522655
R-Colo.	0.0522171
"Bob Dole"	0.0519085
Nicol	0.0517451
"Richard Bryan"	0.0512859
"Jeanne Shaheen"	0.0509572
councilwoman	0.0508282
Chenoweth	0.0507926
Spitzer	0.0507494
"Judd Gregg"	0.0507312
Helms	0.0505396
D-Vt.	0.0504043
"Bob Barr"	0.0501901
"Rudy Giuliani"	0.0497564
Lungren	0.0496815
"William Bennett"	0.0495424
"Don Nickles"	0.0495067
"Democrat Bill Bradley"	0.0494518
"Robert Byrd"	0.0487976
"Tom DeLay"	0.0486664
Bouchard	0.048416
"Fred Thompson"	0.0482515
D-N.J.	0.0481133
"Patrick J. Buchanan"	0.0480832
"Christopher Shays"	0.0480696
Hoffa	0.0480392
"Axel Schulz"	0.0479204
"Curt Weldon"	0.047673
"Phenix City"	0.047597
"Rick Perry"	0.0475384
"David Dreier"	0.0474523
"Christopher Dodd"	0.0474067
Feingold	0.0473687
Bateman	0.0473091
Coverdell	0.047272
"Paul Wellstone"	0.0471681
"John Boehner"	0.046967
"Joaquim Chissano"	0.0469365
"Gray Davis"	0.0468665
co-premier	0.0467014
"Bill Graves"	0.0466389
Sandinistas	0.0466252
alderman	0.0466023
"Sheldon Silver"	0.0462621
"Jerrold Nadler"	0.0460716
Moseley-Braun	0.0460371
"Byron Dorgan"	0.0455322
Gorton	0.0455038
"Momcilo Krajisnik"	0.0451493
Ershad	0.0450004
"Walter Mondale"	0.0448492
"Robert Torricelli"	0.0447122
"Mike Leavitt"	0.0446332
))
(Alfonso (desc 1108.68) (sims
Talebi	0.114826
Kalejs	0.112617
Strauss-Kahn	0.111488
Venables	0.107764
"Predrag Mijatovic"	0.101334
Hamid	0.0975662
"Stan Collymore"	0.0963895
Myhrvold	0.0943396
"Hao Haidong"	0.0933262
Gauthier	0.0925917
"Fabrizio Ravanelli"	0.0903466
Geiger	0.0902635
Ince	0.0898955
Lawler	0.0898589
Tran	0.0893536
Mendez	0.0893108
"Ole Gunnar Solskjaer"	0.0880651
Aoki	0.0872248
"Ian Wright"	0.0862871
Kasyanov	0.0834538
"Brian Laudrup"	0.0828668
Edmundo	0.0827194
"Hristo Stoichkov"	0.0822773
Napolitano	0.0821453
Blackthorne	0.0817539
"Tore Andre Flo"	0.0816705
"Faustino Asprilla"	0.0815916
"Ali Daei"	0.0812831
Ruehe	0.0812403
Shinn	0.0806534
"Harry Kewell"	0.0798042
Wolfensohn	0.0797377
"Eric Cantona"	0.0791633
Espinosa	0.0791584
Brogna	0.079155
Rodionov	0.0789039
"Adrian Ilie"	0.0778213
Alatas	0.0777422
"Khodadad Azizi"	0.0772978
Zambrano	0.0769289
"Drazen Ladic"	0.0768808
Vialli	0.076469
"Paolo Di Canio"	0.0764106
Anelka	0.076342
"Nicolas Anelka"	0.0757654
Brazile	0.0757056
"Jorge Campos"	0.0754334
"Ulf Kirsten"	0.0753917
Lari	0.0751419
Aguirre	0.0749653
"Luis Hernandez"	0.0747954
Barrie	0.0747523
Crocker	0.0746884
"Alen Boksic"	0.0740714
Zuma	0.0738739
"Dejan Stankovic"	0.0736831
Donohue	0.0736698
"Andy Cole"	0.0736024
Bulatovic	0.0734673
Sassa	0.0733731
"Carlos Hermosillo"	0.07334
Mikhailov	0.0732732
Hwang	0.0730082
McGinnis	0.0729307
Boueiz	0.0725168
Xanana	0.0725103
Schaeuble	0.0723024
Burrell	0.0722461
"Dejan Savicevic"	0.0721226
"Fayez Tarawneh"	0.0719655
Rifkind	0.0719215
"Nwankwo Kanu"	0.0714686
Tait	0.0712939
Nakata	0.0712759
"Dwight Yorke"	0.0704069
"Patrick Kluivert"	0.0703664
Juninho	0.0702818
Insulza	0.0701598
"Davor Suker"	0.069511
"Robbie Fowler"	0.069404
Severino	0.0690512
Andreychuk	0.0688892
Villanueva	0.068808
Karimov	0.0687888
Hoddle	0.0686012
Siazon	0.0685195
DiCarlo	0.0683158
Bautista	0.0682971
Reimer	0.0682572
Fernandes	0.0679739
Jacke	0.0679502
McGregor	0.0675848
Yassin	0.067445
"Oliver Bierhoff"	0.0674224
Vidro	0.0673747
Baerga	0.0672955
Lieberthal	0.0672401
Kurth	0.0672333
Sihanouk	0.0668684
Zico	0.0667168
"Gheorghe Hagi"	0.0666184
D'Amico	0.0665401
Ahtisaari	0.0665004
tribesman	0.0664447
"Gianfranco Zola"	0.06636
Guevara	0.0663095
Ruggiero	0.0661698
Aventajado	0.0655854
Tevanian	0.0654914
Rawabdeh	0.065468
Jovanovic	0.0654148
Blanton	0.0653178
Rolen	0.0652329
"Igor Sergeyev"	0.065232
Romario	0.0648864
Cavallo	0.0647278
Ivey	0.0646603
"Azizah Ismail"	0.0646026
Cink	0.0640197
Rossotti	0.0640085
Walesa	0.0639498
Bartholomew	0.0639415
Moratinos	0.0639243
Ebersol	0.0638105
Barrionuevo	0.0637728
Dumas	0.0637365
Baird	0.0636872
Raznatovic	0.0636558
"George Weah"	0.0636307
Donnan	0.0635956
Guterres	0.0634433
Gullit	0.06336
Bierhoff	0.0632375
Azizah	0.0632153
LeBlanc	0.0632063
"Ante Razov"	0.0631994
Brittan	0.0630976
Summitt	0.0630837
Durant	0.0630805
Slocum	0.0629331
Agca	0.0629281
Jorgensen	0.0628684
Malu	0.0628658
Kabariti	0.0628114
Ciampi	0.0627197
Cavanaugh	0.0626703
Cianci	0.0624828
Gorman	0.0624586
Juppe	0.062256
Stayner	0.0621542
Erving	0.062148
Dowd	0.0620499
Ashrawi	0.0620497
"Jose Luis Chilavert"	0.0619927
"Angel Maturino Resendiz"	0.061954
Wilhelm	0.0619443
Vasile	0.0619369
Barksdale	0.0617871
Blackman	0.061733
Izetbegovic	0.061544
Frye	0.0615218
Masire	0.0615133
Neilson	0.0614807
Lankford	0.0614326
"Shane Battier"	0.0612841
Dunbar	0.0612587
Ito	0.0612584
"Cindy Parlow"	0.0612363
Kulikov	0.0612227
Sommer	0.0611825
Maslyukov	0.0611191
Dougherty	0.061076
Sather	0.0610484
Nickerson	0.0609943
"de Charette"	0.0609709
Harkes	0.0609426
Kasoulides	0.0608377
Vieri	0.0607681
Ghali	0.0606301
Laudrup	0.0605734
Skakel	0.0605654
Machado	0.0605267
Hiddink	0.060475
Stephenson	0.0602755
Mineta	0.0602011
"Sun Wen"	0.0600723
Meguid	0.0599342
Fryman	0.0597634
Padilla	0.0597581
Zhao	0.0595556
Tomlinson	0.0595524
Krajisnik	0.0595458
Longo	0.0595228
Constantinescu	0.0593589
Kluivert	0.0592703
O'Malley	0.059199
Naumann	0.0591719
McGreevey	0.0591455
McInnis	0.0590867
Halloran	0.0590483
))
("Alfonso Soriano" (desc 2149.13) (sims
"Mike Lowell"	0.227284
"Drew Henson"	0.223001
"Ed Yarnall"	0.189424
"Ricky Ledee"	0.180227
"Clay Bellinger"	0.178535
"Craig Paquette"	0.156394
"Russ Johnson"	0.141429
"Mark Loretta"	0.139374
"Homer Bush"	0.139341
"Wilton Veras"	0.131585
"Alex Cora"	0.128639
"Ramiro Mendoza"	0.127756
"Mike Caruso"	0.127629
"Carlos Guillen"	0.127579
"Hideki Irabu"	0.125814
"Warren Morris"	0.125002
"Jorge Posada"	0.123944
"Donnie Sadler"	0.123695
"Rafael Furcal"	0.123045
"Jeff Nelson"	0.1225
"Shane Spencer"	0.114818
"Paul Konerko"	0.114779
"Jeff Huson"	0.113583
"Andy Sheets"	0.112982
"Juan Castro"	0.109927
"Luis Sojo"	0.106127
"Damian Jackson"	0.102691
"Jason Grimsley"	0.102515
"Manny Alexander"	0.101211
"Pat Meares"	0.101113
"Cristian Guzman"	0.100292
"Angel Pena"	0.0996818
"Freddy Garcia"	0.0991114
"Pat Burrell"	0.0988122
"Luis Lopez"	0.09879
"Tony Batista"	0.0971835
"Ozzie Guillen"	0.0952593
"Kurt Abbott"	0.0952385
"Bill Spiers"	0.0944744
"Chad Curtis"	0.094431
"Mariano Rivera"	0.0943158
"Pee Wee Reese"	0.0941728
"Ruben Mateo"	0.0941619
"Melvin Mora"	0.0936421
"Brad Penny"	0.0931358
"Frank Catalanotto"	0.092565
"Shane Andrews"	0.0924977
"Enrique Wilson"	0.0924703
"Scott Brosius"	0.0908929
"Jose Hernandez"	0.0908621
Brosius	0.090318
"Tim Bogar"	0.0898569
"Benji Gil"	0.0896264
"Jose Vizcaino"	0.0893206
"Lou Merloni"	0.0872109
"Andy Pettitte"	0.0867058
"Mike Stanton"	0.0865662
"Glenn Hoffman"	0.0865612
"Herbert Perry"	0.0862751
"Bruce Chen"	0.0854649
"Jeff Cirillo"	0.0854033
"Wilton Guerrero"	0.0849441
"Allen Watson"	0.0848358
"Adrian Beltre"	0.0841431
"Carl Pavano"	0.083488
"Jose Valentin"	0.082978
"Tim Raines"	0.0828311
"Edgar Renteria"	0.0824806
"Kevin Orie"	0.0803426
"Chris Gomez"	0.0770622
"Terrence Long"	0.0767095
Ledee	0.0763273
"Travis Fryman"	0.0758457
"Fernando Tatis"	0.0757223
"Dave Hollins"	0.0755957
"Mike Benjamin"	0.0753047
"Ricky Gutierrez"	0.0743449
"Bobby Smith"	0.0741064
"Derek Jeter"	0.0728528
"Sean Berry"	0.0728083
"Alex Gonzalez"	0.0724726
"Royce Clayton"	0.0716134
"Daryle Ward"	0.0709298
"Desi Relaford"	0.0694334
"Shawon Dunston"	0.0693002
"Luis Alicea"	0.0691239
"Tom Brady"	0.0690801
"Corey Koskie"	0.0682219
"Craig Counsell"	0.0679385
"Eric Milton"	0.0675455
Soriano	0.0672959
"Orlando Hernandez"	0.0662921
"Joe Randa"	0.0661096
"Dan Cloutier"	0.0660776
"Neifi Perez"	0.0654649
"Jeff Frye"	0.0653311
"Cal Ripken Jr."	0.0650802
"Graeme Lloyd"	0.064807
"Octavio Dotel"	0.0647478
"Ruben Rivera"	0.0644945
"Chili Davis"	0.0644681
"Troy Glaus"	0.0642327
"David Bell"	0.0641179
"Eric Chavez"	0.0636411
"Tony Fernandez"	0.0632867
"Charlie Hayes"	0.0623218
"Mike Lamb"	0.0618002
"Dave Hansen"	0.0615227
"Rich Aurilia"	0.0611827
"Jim Leyritz"	0.0609116
"Paul LoDuca"	0.0606607
"Ron Coomer"	0.060206
"Mike Bordick"	0.0601997
"Mitch Meluskey"	0.0601028
"Willie Greene"	0.0596857
"Matt Franco"	0.0595339
"Alex Rodriguez"	0.0589274
"Patrik Stefan"	0.0586267
"Omar Vizquel"	0.0585875
"Olli Jokinen"	0.0584989
"Luis Castillo"	0.058472
"Derrek Lee"	0.0584609
"John Grahame"	0.0583101
"Peter Bergeron"	0.058216
"Doug Davis"	0.0581292
"Texas longhorn"	0.0580061
"Rey Ordonez"	0.0577244
"Gabe Kapler"	0.0577063
"Jin Ho Cho"	0.0574659
"Miguel Tejada"	0.0569364
"Yao Ming"	0.0566607
Glaus	0.0565736
Baines	0.0564748
"Randy Velarde"	0.0564557
"Aaron Boone"	0.0560963
"Barry Larkin"	0.0560113
"Mark Grudzielanek"	0.0556469
"Michael Grant"	0.0554086
"Pokey Reese"	0.0551609
"Tony Womack"	0.0548367
"Mike Simms"	0.0545016
"Tino Martinez"	0.0539642
Lamont	0.0537327
"Rey Sanchez"	0.0536268
"Deivi Cruz"	0.0530464
"Brett Hinchliffe"	0.0530094
"Darryl Strawberry"	0.052698
"Matt Luke"	0.0526604
"Paul O'Neill"	0.0524078
Harrington	0.052061
"Jay Payton"	0.0520388
"Joe McEwing"	0.051956
"Lenny Harris"	0.0517845
Daigle	0.0512141
"Chuck Knoblauch"	0.050971
"Bob Wickman"	0.0509019
"Gary Gaetti"	0.0506883
"Mike Venafro"	0.0495679
"Leon Smith"	0.0495078
"Richie Sexson"	0.0493627
"three pitchers"	0.0492762
"Kevin Elster"	0.048917
"Manny Malhotra"	0.0488584
"Adam Kennedy"	0.0488047
"Walt Weiss"	0.0482873
"Russ Davis"	0.0482807
"Kevin Stocker"	0.0482415
Grudzielanek	0.0477437
"Manny Legace"	0.0476002
"Jeff Williams"	0.0475926
"Mike Lansing"	0.047362
"Preston Wilson"	0.047351
"Rolando Arrojo"	0.0471321
"police captain"	0.0469491
"Scott Rolen"	0.0468186
Merloni	0.0464415
"Jon Sim"	0.0462405
Mateo	0.0461641
"Eric Young"	0.0460592
"CARLOS HERNANDEZ"	0.0459381
"Wade Boggs"	0.0459186
"Brian Daubach"	0.0456141
Renteria	0.044961
Briere	0.0449331
"Magglio Ordonez"	0.044876
Pavano	0.0448736
"Einar Diaz"	0.044869
DiSarcina	0.0447152
Matthaeus	0.0446973
"Carlos Beltran"	0.044558
Suppan	0.0444812
"Terry Mulholland"	0.0443331
"Odalis Perez"	0.044066
"Bill Mueller"	0.0440616
"Roman Turek"	0.0434647
"Randall Simon"	0.0432665
Raines	0.0432188
Spencer	0.043184
"Shaun King"	0.0429577
"Karim Garcia"	0.0429287
))
(Alfonzo (desc 7617.79) (sims
"Edgardo Alfonzo"	0.364233
Olerud	0.325233
"John Olerud"	0.261829
"Jay Bell"	0.254267
"Robin Ventura"	0.251791
Karros	0.235416
"Benny Agbayani"	0.233545
Rolen	0.232992
"Chipper Jones"	0.229982
"Eric Karros"	0.229799
Bagwell	0.225744
Valentin	0.216329
Glaus	0.21446
"Jeff Bagwell"	0.212803
Agbayani	0.211976
Ordonez	0.211763
"Todd Zeile"	0.209861
"Troy Glaus"	0.208682
Bordick	0.206253
Zeile	0.206221
"Chuck Knoblauch"	0.205146
Fullmer	0.200987
Cedeno	0.200668
"Brian McRae"	0.198152
"Scott Brosius"	0.195601
"Derek Bell"	0.195587
"Jeff Kent"	0.192896
"Matt Lawton"	0.191299
Brosius	0.190158
"Kevin Young"	0.190113
Palmeiro	0.188382
"Scott Spiezio"	0.188115
Garciaparra	0.187709
"Craig Biggio"	0.187432
Erstad	0.18649
Bichette	0.185569
"Andruw Jones"	0.184632
"Ken Caminiti"	0.184103
"Jim Thome"	0.184083
Lankford	0.183491
Piazza	0.183307
"Roger Cedeno"	0.18314
Burnitz	0.182931
Jeter	0.182344
"Ryan Klesko"	0.182022
"David Bell"	0.181038
Surhoff	0.180362
"Tino Martinez"	0.177854
Vidro	0.177681
"Scott Rolen"	0.177104
Klesko	0.176941
Aurilia	0.176866
"Darin Erstad"	0.176586
"Deivi Cruz"	0.176446
"Jose Offerman"	0.17608
Abreu	0.175211
"Adam Kennedy"	0.174918
"Todd Pratt"	0.174209
"Mike Piazza"	0.174074
Hundley	0.173872
Grudzielanek	0.173553
"Damian Miller"	0.172581
Daubach	0.172366
Womack	0.171954
"Ron Coomer"	0.171925
"Rafael Palmeiro"	0.171772
"Matt Williams"	0.171623
"Randy Velarde"	0.171497
"Mark Grace"	0.171443
Knoblauch	0.171419
"Tony Batista"	0.171071
"Bill Mueller"	0.171054
"Edgar Martinez"	0.170989
Alicea	0.170775
"Warren Morris"	0.170759
"John Valentin"	0.170473
Biggio	0.170015
"Jose Vidro"	0.169517
"Marvin Benard"	0.169201
"Derek Jeter"	0.169162
"Eric Owens"	0.168473
"Geoff Jenkins"	0.168441
"Ray Durham"	0.168007
Vaughn	0.16784
"Tim Salmon"	0.167833
"Paul Konerko"	0.167653
"Jeff Cirillo"	0.167578
Segui	0.167516
"John Vander Wal"	0.167336
Alomar	0.167252
"Mark McLemore"	0.1672
"Jose Hernandez"	0.167162
Cirillo	0.166715
"Brian Daubach"	0.165997
"Matt Stairs"	0.165375
"Bill Spiers"	0.165354
"Derrek Lee"	0.164919
"Gary Sheffield"	0.1649
"Javy Lopez"	0.164608
"Mike Sweeney"	0.164483
"Damian Jackson"	0.164245
"Gerald Williams"	0.163775
"Miguel Cairo"	0.163154
Ledee	0.16307
"Todd Walker"	0.163035
"Fred McGriff"	0.162586
"David Segui"	0.162348
"Adrian Beltre"	0.162241
Randa	0.16214
"Mark Kotsay"	0.161841
Lieberthal	0.161674
"Rickey Henderson"	0.161435
"Todd Hundley"	0.16123
"Quilvio Veras"	0.160985
"Trot Nixon"	0.160601
"Brian Jordan"	0.16014
Spiers	0.159863
"Troy O'Leary"	0.159762
"Bernie Williams"	0.159086
Giambi	0.1585
Fryman	0.15825
"Mark Loretta"	0.157593
"Kevin Jordan"	0.157262
"Jason Varitek"	0.157044
Thome	0.157013
McGriff	0.156753
"Roberto Alomar"	0.155307
"Jay Payton"	0.155204
"Nomar Garciaparra"	0.1552
Helton	0.155096
Gant	0.154988
"Phil Nevin"	0.154794
"Matt Franco"	0.154632
"Jay Buhner"	0.154195
Catalanotto	0.154182
"Joe McEwing"	0.153609
"Brian Giles"	0.153275
"Rey Ordonez"	0.153189
"Tim Bogar"	0.153183
Offerman	0.152969
"Kelly Stinnett"	0.15286
"Russ Davis"	0.152778
Higginson	0.152756
"Andres Galarraga"	0.152677
"Luis Alicea"	0.152667
"Keith Lockhart"	0.152413
McRae	0.152156
"Garret Anderson"	0.151066
Tatis	0.151049
"Todd Helton"	0.150999
"Mickey Morandini"	0.150794
"Andy Fox"	0.150786
"Dean Palmer"	0.150701
"Jason Giambi"	0.15037
"Tom Goodwin"	0.150163
Leyritz	0.150015
"Vladimir Guerrero"	0.14996
"Darryl Hamilton"	0.149869
"Jim Leyritz"	0.149419
"J.T Snow"	0.149116
"Tony Eusebio"	0.149005
"Chris Widger"	0.148969
Baerga	0.14853
"Carl Everett"	0.148075
"Jorge Posada"	0.148039
Veras	0.147868
"Travis Fryman"	0.147805
"Shawn Green"	0.147754
McLemore	0.147241
grieve	0.147178
"Paul O'Neill"	0.146963
"Bruce Aven"	0.146907
Varitek	0.146735
"Ricky Ledee"	0.146566
"Neifi Perez"	0.146421
"Dante Bichette"	0.14596
"Johnny Damon"	0.145658
"Bobby Abreu"	0.145467
Caminiti	0.145061
"Greg Vaughn"	0.145
"Enrique Wilson"	0.144798
Glanville	0.144725
Beltre	0.144409
"David Ortiz"	0.144366
Boone	0.144168
"Jim Edmonds"	0.144036
"Mark Grudzielanek"	0.144
"Bobby Higginson"	0.143949
"Russ Johnson"	0.143907
"Luis Lopez"	0.143192
"Will Clark"	0.14311
"Mo Vaughn"	0.142892
"Alex Rodriguez"	0.142862
"Steve Finley"	0.142653
Galarraga	0.142651
"Bret Boone"	0.142603
"Pokey Reese"	0.142546
"Mike Stanley"	0.142401
Mondesi	0.14225
Frye	0.142008
"B.J Surhoff"	0.142007
"Matt Walbeck"	0.141537
"Mike Bordick"	0.141339
"Vinny Castilla"	0.141231
"Tony Phillips"	0.141087
"Devon White"	0.140941
Batista	0.140825
"Melvin Mora"	0.140583
"Eric Young"	0.140286
"Darren Lewis"	0.140218
Stinnett	0.140107
"Bubba Trammell"	0.139396
"Jason Kendall"	0.139369
"Raul Mondesi"	0.139196
"Eric Chavez"	0.138877
"Herbert Perry"	0.138807
Beltran	0.13873
"Frank Thomas"	0.13873
"Eddie Taubensee"	0.138548
"Ivan Rodriguez"	0.138526
"Carlos Lee"	0.138457
Gilkey	0.138354
"Butch Huskey"	0.138326
"Jeff Conine"	0.138117
"Glenallen Hill"	0.13805
Hollins	0.138011
"Doug Glanville"	0.137858
"Juan Gonzalez"	0.137854
"Rusty Greer"	0.13769
"Preston Wilson"	0.137681
"Tony Gwynn"	0.137491
Sexson	0.137405
"Kurt Abbott"	0.137337
"Henry Rodriguez"	0.137336
Bautista	0.137131
"Fernando Vina"	0.136928
"Royce Clayton"	0.136854
"Damon Buford"	0.136372
"Jose Valentin"	0.136249
"Cristian Guzman"	0.136086
"Chad Curtis"	0.135987
Ramirez	0.135884
Rodriguez	0.135426
"Dmitri Young"	0.135321
"Ricky Gutierrez"	0.135265
"Orlando Palmeiro"	0.134548
Mora	0.134501
"Delino DeShields"	0.13446
Huskey	0.134367
"Richard Hidalgo"	0.134308
Hidalgo	0.13401
"Tony Womack"	0.133788
"Luis Gonzalez"	0.133748
"Bobby Bonilla"	0.133668
"Lenny Harris"	0.133551
Dunston	0.133197
"Ruben Rivera"	0.132844
Delgado	0.132725
"Barry Larkin"	0.132607
Lofton	0.132484
Buhner	0.132383
Tejada	0.13193
"Mike Cameron"	0.13191
"Fernando Tatis"	0.131857
"Joe Randa"	0.131741
"Dave Hansen"	0.1317
"Ozzie Guillen"	0.131429
"Carlos Delgado"	0.131077
Ripken	0.13103
McGwire	0.130981
"Barry Bonds"	0.13098
Castilla	0.130743
"Richie Sexson"	0.130685
"Manny Ramirez"	0.130508
Vizquel	0.130281
Sosa	0.130177
"Edgar Renteria"	0.130166
"Ron Gant"	0.130013
Posada	0.129834
"Wally Joyner"	0.128909
Canseco	0.128828
"Damion Easley"	0.128475
Martinez	0.128343
"Mike Lowell"	0.12821
"Carlos Beltran"	0.127684
O'Neill	0.127658
"Travis Lee"	0.127302
"Pat Burrell"	0.127111
Renteria	0.12702
Alou	0.126732
"Paul Bako"	0.126303
"Rondell White"	0.12616
Kapler	0.126076
Elster	0.126067
"Bengie Molina"	0.125962
Ventura	0.125893
Hatteberg	0.125526
"Chili Davis"	0.125332
"Carlos Baerga"	0.12529
"Cliff Floyd"	0.124913
"Jeromy Burnitz"	0.124555
Velarde	0.124442
"Luis Castillo"	0.12444
"Brian Hunter"	0.124406
Bonilla	0.124116
Griffey	0.124041
"Ben Grieve"	0.123857
Lawton	0.123815
Nevin	0.123808
DeShields	0.123686
"Rich Aurilia"	0.123523
Guerrero	0.123505
"Brady Anderson"	0.123247
"Mike Lieberthal"	0.122877
"Tony Graffanino"	0.122621
"Al Martin"	0.12232
Guillen	0.121818
"Miguel Tejada"	0.121392
"Walt Weiss"	0.121373
Cabrera	0.121221
"Omar Vizquel"	0.119973
"Craig Counsell"	0.119831
Gonzalez	0.119742
"Marquis Grissom"	0.11971
"Sean Casey"	0.119529
"Kenny Lofton"	0.119384
"Alex Gonzalez"	0.119263
"Ray Lankford"	0.119208
"Mike Lamb"	0.119207
"Jose Guillen"	0.119205
"Kevin Stocker"	0.119092
"Pat Meares"	0.118962
Gwynn	0.11888
"Dan Wilson"	0.118824
"Harold Baines"	0.118444
Sojo	0.118262
Hollandsworth	0.118084
"Manny Alexander"	0.117977
Javier	0.117725
"Jeffrey Hammonds"	0.11763
"Charles Johnson"	0.117522
"Lance Berkman"	0.117513
belle	0.117117
Burks	0.116132
"Bernard Gilkey"	0.115854
Brogna	0.115672
"Danny Bautista"	0.115648
"Dave Martinez"	0.115486
"Moises Alou"	0.115475
Spencer	0.114621
"Jeff Frye"	0.114472
"Ellis Burks"	0.113885
"Lee Stevens"	0.113793
"Charlie Hayes"	0.113396
"J.D Drew"	0.113189
"CARLOS HERNANDEZ"	0.112913
"Mike Lansing"	0.112829
"Desi Relaford"	0.112321
"Aaron Boone"	0.112272
O'Leary	0.112099
"Tony Clark"	0.111837
"Gary DiSarcina"	0.11142
"Jermaine Dye"	0.111159
"Jose Canseco"	0.111002
Cora	0.110439
"Reggie Sanders"	0.110019
"Ken Griffey Jr."	0.109676
"Brad Ausmus"	0.109544
Everett	0.109462
Larkin	0.109154
"Darren Bragg"	0.108804
"Rico Brogna"	0.108652
Molina	0.108353
Taubensee	0.108157
"Quinton McCracken"	0.107193
Bragg	0.106995
"Brad Fullmer"	0.106306
"Magglio Ordonez"	0.10574
"Corey Koskie"	0.10556
Greer	0.105553
Goodwin	0.105538
"Stan Javier"	0.105512
"F.P Santangelo"	0.105273
DiSarcina	0.104483
Bergeron	0.104353
"Cal Ripken"	0.104271
"Jose Vizcaino"	0.103984
"Sandy Alomar"	0.103838
Sheffield	0.102649
Mabry	0.102519
"Benji Gil"	0.101428
"Mark McGwire"	0.101185
"Brook Fordyce"	0.10115
Henderson	0.101056
"Craig Paquette"	0.100986
Merloni	0.100776
"Rich Becker"	0.100744
"John Mabry"	0.100543
Lugo	0.100334
))
(Alford (desc 2008.71) (sims
Guthridge	0.128556
Davie	0.10909
Hiddink	0.10564
Monson	0.102877
Donnan	0.0990935
Camacho	0.0952705
Sherrill	0.0944422
Romar	0.0913935
"Breda Kolff"	0.0896477
Paterno	0.0887473
Talebi	0.0882002
Cowher	0.0870513
Wenger	0.0858985
Heinrichs	0.0855419
Whitsitt	0.0846832
Clements	0.0840939
Schmid	0.0832137
Wolfson	0.0821832
beamer	0.0819067
Samuelson	0.0805278
Verney	0.0801633
Skiles	0.0800702
Coffey	0.0794512
Portillo	0.0792556
Eizenstat	0.0790006
Ditka	0.0789437
Holdsclaw	0.0787968
Summitt	0.0786015
Passarella	0.0780579
Milutinovic	0.0777
Dunleavy	0.0776488
Antley	0.0771034
Tuberville	0.0764948
Bochy	0.0758462
McCourt	0.0756283
Shula	0.0754414
Rubenstein	0.0753418
Popovich	0.0749403
Sasser	0.0747743
Ganassi	0.0743559
Martz	0.0742591
Kearin	0.0742581
Goossen	0.073635
Colangelo	0.0734583
Wilhelm	0.073441
Krzyzewski	0.0732239
Ebersol	0.073218
Solich	0.0731398
Bustamante	0.0730099
Wendt	0.0729589
Pruett	0.0727016
Billick	0.0726436
Harrick	0.0726405
Manley	0.0726395
Schuerholz	0.0725732
Howe	0.0725434
Milbury	0.0724625
Flanagan	0.0722179
Naumann	0.0717022
Solis	0.0716207
Finkel	0.0716173
Grasso	0.0715414
Rongen	0.0714512
hodgson	0.0713778
Menard	0.0713379
Weiner	0.0712024
Wannstedt	0.0711731
Neilson	0.0707707
Zambrano	0.0707045
Kessler	0.0705056
Daniels	0.0701454
Patel	0.0700752
Erving	0.0698709
Piot	0.0697706
Goldin	0.0697353
Rahal	0.0694969
Atler	0.0694858
Cleaves	0.0690959
Izzo	0.0690859
Bowden	0.0690643
Tomey	0.0689366
Auriemma	0.0687432
Rooney	0.0687285
Storin	0.0686365
Manuel	0.0685643
Doherty	0.0684183
Ruehe	0.0681329
Hauser	0.0680948
Calipari	0.067806
Fulmer	0.0675327
Haskins	0.0674393
Edelstein	0.0673021
Tobin	0.0669809
Zuckerman	0.0669724
Brister	0.0668228
"La Russa"	0.0668063
Dungy	0.0667235
Cui	0.0667049
McManus	0.0665956
Wilkens	0.0664935
Aventajado	0.0664052
Marineau	0.0663769
Boles	0.0662352
Schottenheimer	0.0661877
Spurrier	0.0661421
Advani	0.0659069
Calcavecchia	0.0658858
Englishwoman	0.0656254
Russo	0.065368
bock	0.0653471
Laudrup	0.0653012
HELLER	0.065266
Sheehan	0.0650262
Parrott	0.0646011
Farris	0.0645734
Henning	0.0645637
Gullikson	0.0644971
Borbon	0.0644814
Remlinger	0.0641502
Slocum	0.0641412
Holmes	0.0641337
Mikhailov	0.0641308
Cooke	0.0641236
Ellsworth	0.0640016
Zadornov	0.0638167
Stevenson	0.0637346
Gillick	0.063719
Okada	0.0636799
Sheng	0.0636707
Peterson	0.0635361
AFA	0.0635077
McAlister	0.0633693
Driscoll	0.0632357
Kupchak	0.0632237
Rossotti	0.0632203
Stoneman	0.063194
Braswell	0.0629529
Kimmel	0.0628805
Siazon	0.0628353
Gailey	0.0627755
"Dave Campo"	0.0626928
wheeler	0.0625403
Whalen	0.062536
ROMNEY	0.0625271
Troussier	0.0625044
Greenberg	0.0624782
ANGELOS	0.062449
Betts	0.0624261
Sather	0.0621307
Devine	0.0620706
Reiner	0.0619885
Robson	0.0619666
Barnett	0.0619071
Terry	0.0618498
Rambis	0.0617573
Mariucci	0.0617372
Hartley	0.061672
Baerga	0.0616322
Wald	0.0615162
Avery	0.0614913
Mullin	0.0613828
Eastwood	0.0613371
Bonner	0.061226
Finney	0.0611276
Waltrip	0.0611121
Zucker	0.061083
Aliotti	0.0610617
Chadwick	0.0610319
Rutledge	0.061017
Kyprianou	0.0609554
Lasorda	0.0609295
Davidson	0.0609009
Sorensen	0.060809
Jacquet	0.0607877
Brandt	0.0607623
Brazile	0.0607222
Campos	0.0606947
Hunsicker	0.0606504
Ratner	0.0606229
McNown	0.0604779
Boardman	0.060462
Kurtz	0.0604332
Levine	0.060423
McLane	0.0603622
Harmon	0.0603012
Ainge	0.0602342
Hoffman	0.0602229
Cremins	0.0602132
Ruggiero	0.0601342
tanner	0.0601293
Lacroix	0.0601177
Crabtree	0.060044
Keenan	0.0600323
Scioscia	0.0599599
Wiatt	0.0598877
Padilla	0.059868
Moonves	0.0598304
Redford	0.0598103
Abernathy	0.0597256
Babcock	0.0596893
))
("Alfre Woodard" (desc 2349.86) (sims
"Dame Judi Dench"	0.111685
"Winona Ryder"	0.0937432
"Albert Brooks"	0.0936199
"Omar Epps"	0.0912988
"Nathan Lane"	0.0902713
"Frances McDormand"	0.0889768
"Billy Crudup"	0.0880699
"Judi Dench"	0.0875345
"John Leguizamo"	0.0871616
"Aidan Quinn"	0.0796092
"Sally Field"	0.0794816
"Stanley Tucci"	0.0782944
"Ian Holm"	0.0778182
"Alicia Silverstone"	0.0748314
"Susan Sarandon"	0.0745087
"Val Kilmer"	0.0740209
"Ray Romano"	0.073866
"Sidney Poitier"	0.0730167
"Bill Pullman"	0.0729734
"Kelsey Grammer"	0.0726598
Cleese	0.0722927
"Sigourney Weaver"	0.07184
"Harry Belafonte"	0.0709339
Gielgud	0.0703563
"Martin Short"	0.0701174
"Gene Hackman"	0.0695682
"Richard Gere"	0.0695447
"JOHN TURTURRO"	0.0694121
"Jessica Lange"	0.0673849
"Ted Danson"	0.0671469
"Jennifer Love Hewitt"	0.0670842
"Burt Lancaster"	0.0657232
"Laurence Olivier"	0.0651032
"Danny Glover"	0.0650867
"Holly Hunter"	0.065069
"Janeane Garofalo"	0.064393
"Ian McKellen"	0.0642941
"Demi Moore"	0.0641459
"Tim Robbins"	0.0641247
"Geoffrey Rush"	0.063081
"Denis Leary"	0.062629
"Jamie Foxx"	0.0620993
"Christopher Walken"	0.0618138
"Richard Dreyfuss"	0.0617261
Costner	0.0615255
"Tom Selleck"	0.0614714
"Wesley Snipes"	0.0614705
"Ethan Hawke"	0.0612887
"Glenn Close"	0.0611876
"Tracey Ullman"	0.0608715
"Vanessa Redgrave"	0.0608294
"Spencer Tracy"	0.0608022
"Kim Basinger"	0.0604967
"Alec Baldwin"	0.0604272
"Michelle Pfeiffer"	0.0603187
"Christopher Reeve"	0.06023
"Rob Lowe"	0.0601196
"John Cusack"	0.0600461
Braugher	0.0597658
"Laurence Fishburne"	0.0597202
"Christian Slater"	0.0596803
"Martin Lawrence"	0.0596581
"Patrick Stewart"	0.0593326
"Alice Walker"	0.059237
"True Thing"	0.0589707
"Geena Davis"	0.0588418
"Natasha Richardson"	0.0587922
"Steve McQueen"	0.0583612
"Kirsten Dunst"	0.0576007
"Carol Burnett"	0.0572363
"Robert DeNiro"	0.057165
"Kevin Bacon"	0.0569486
"Jeremy Irons"	0.0568613
"Bette Midler"	0.0568138
"Edward Furlong"	0.0566696
"Anthony Hopkins"	0.0565622
Grammer	0.0565563
"Stephen Rea"	0.0565016
"James Van Der Beek"	0.0563442
"David Arquette"	0.0563073
"Matthew McConaughey"	0.0561346
"James Earl Jones"	0.0558755
"John Goodman"	0.0558191
"Henry Fonda"	0.0556118
"Matt Damon"	0.0554466
"Catherine Deneuve"	0.055262
"Jane Fonda"	0.0552596
"Nigel Hawthorne"	0.0552481
"Angela Bassett"	0.0552477
"Joan Allen"	0.0550443
"Eddie Murphy"	0.0549891
"Rupert Everett"	0.0549844
"Goldie Hawn"	0.054812
"Meryl Streep"	0.0546555
Deneuve	0.0546422
"Natalie Portman"	0.0545424
"Bette Davis"	0.05452
"Jimmy Stewart"	0.0542418
"Anjelica Huston"	0.0537945
"Pierce Brosnan"	0.0537569
"Julie Andrews"	0.0536094
"Bill Paxton"	0.0532818
"Richard Burton"	0.0529596
"Jodie Foster"	0.0529106
"Janet McTeer"	0.0528915
"Ving Rhames"	0.0525562
"James Woods"	0.0525384
"Emily Watson"	0.0524567
"Sarah Jessica Parker"	0.0522187
"Renee Zellweger"	0.0521266
"Edward Norton"	0.0520601
"Chow Yun-Fat"	0.051949
"Jason Alexander"	0.0516746
"James Cagney"	0.0513793
"Matthew Perry"	0.0513523
"Julia Roberts"	0.0513457
"William Hurt"	0.0511285
"Keanu Reeves"	0.0508683
Midler	0.050841
"Danny DeVito"	0.0505602
"Yoko Ono"	0.0505546
"Ashley Judd"	0.0504969
"Gregory Peck"	0.0504253
"Bernadette Peters"	0.0504067
"Paul Newman"	0.0497218
"Burt Reynolds"	0.0496936
Damon	0.0495457
"Gary Cooper"	0.0494637
Broderick	0.0492195
"Ewan McGregor"	0.0491844
"Matthew Broderick"	0.0490743
"Kate Winslet"	0.0490649
"Tommy Lee Jones"	0.0490577
"PHILIP SEYMOUR HOFFMAN"	0.0486207
"Johnny Depp"	0.0484727
"Kirk Douglas"	0.0483814
"Norm MacDonald"	0.0482572
"Jeff Daniels"	0.0479105
"Drew Barrymore"	0.047768
"Sela Ward"	0.047494
"Charlton Heston"	0.0474286
"Shirley MacLaine"	0.0473534
"Russell Crowe"	0.0471554
"Steve Martin"	0.0471062
"Harrison Ford"	0.0469747
"Cameron Diaz"	0.0469285
"Woody Harrelson"	0.0468758
"Denzel Washington"	0.0467269
"Taye Diggs"	0.0467143
"Humphrey Bogart"	0.0466933
"Leelee Sobieski"	0.0466087
Yoakam	0.0464032
"Ben Affleck"	0.0463479
"Robin Williams"	0.046101
"Andre Braugher"	0.0460816
"Chevy Chase"	0.0459344
"Jon Voight"	0.045596
"Mark Wahlberg"	0.0454103
"Greta Garbo"	0.0453184
"Roberto Benigni"	0.0452778
"Billy Bob Thornton"	0.0450698
"Ally Sheedy"	0.0450489
Cher	0.0450277
"Hilary Swank"	0.0448665
"Sarah Michelle Gellar"	0.0447532
"Sean Connery"	0.0445181
"Liam Neeson"	0.0443364
"Jack Lemmon"	0.0442893
Brosnan	0.044227
"Kevin Costner"	0.0440894
"Kevin Spacey"	0.0440604
"Antonio Banderas"	0.0440099
"Adam Sandler"	0.0438768
"Robert Duvall"	0.04382
"John Belushi"	0.0437079
"Liev Schreiber"	0.0436441
"DON JOHNSON"	0.0435376
"Ed Harris"	0.0434841
"Jimmy Smits"	0.0434769
"Christian Bale"	0.0434245
"Kathleen Turner"	0.0431911
"Nicole Kidman"	0.0431854
"Bill Murray"	0.0431459
"Chris Klein"	0.0431188
"Diana Ross"	0.0429541
swank	0.0427642
"Brian Dennehy"	0.0425909
"Melanie Griffith"	0.0424388
"Ralph Fiennes"	0.042329
"Jeff Bridges"	0.0422044
"Katharine Hepburn"	0.0420898
"Calista Flockhart"	0.0420112
"Vivien Leigh"	0.0418883
"Cary Grant"	0.041685
"Clint Eastwood"	0.0416566
"Gabriel Byrne"	0.0416477
"Christina Ricci"	0.0416444
"Van Dyke"	0.0415525
"Bing Crosby"	0.0413347
"Gwyneth Paltrow"	0.0412977
))
(Alfred (desc 3934.16) (sims
Menuhin	0.109347
Puzo	0.0916061
Albert	0.08333
Dubus	0.0783115
Grbac	0.0732047
Hamzah	0.0727763
Hoffmann	0.0678615
Philip	0.0673139
leeson	0.0648275
Ghani	0.064712
Walter	0.0646743
Bingham	0.064135
Autry	0.0639397
Raymond	0.063742
Peter	0.0622528
Arthur	0.062208
Stephen	0.0613338
Jim	0.0601833
Flaherty	0.0594765
Edward	0.0587905
Rupert	0.0585618
Whyte	0.0581938
Logue	0.0575462
Podesta	0.0573911
Richard	0.0572541
Bowles	0.0571642
"La Mont"	0.0569432
Blackman	0.0568894
Riady	0.0568052
Henry	0.0567105
Kyle	0.0566404
Phillip	0.0561914
Mohamed	0.0561543
Cooke	0.0561183
Kenneth	0.0556924
Adair	0.055321
Andrew	0.0550636
Bernard	0.0548567
Taubman	0.0546424
bethel	0.054502
hector	0.0542791
Nanula	0.0540152
Byron	0.0538917
Hobson	0.0537208
Robert	0.0536481
"De Klerk"	0.0536102
Ronald	0.0534795
Padilla	0.0534349
Blackwell	0.0532007
Alan	0.0531265
DeBerg	0.05308
Carl	0.0530725
Jeffrey	0.0529742
Vernon	0.0529535
Fred	0.0529136
Adam	0.0529063
Melville	0.0526192
Joachim	0.052548
Lloyd	0.0523323
harrison	0.052095
William	0.0519546
Haney	0.0519237
Winston	0.0518505
Whipple	0.0518253
Jonathan	0.0517248
Samuel	0.0516839
Tarver	0.0516767
tom	0.0514694
Merrick	0.0513852
Harrer	0.0511548
Joel	0.0509866
Shirley	0.0509511
Vogel	0.0508983
Brees	0.0508487
Torres	0.0505759
Windham	0.0505221
Evan	0.0505058
Steven	0.0503638
Bao	0.0503003
Isabella	0.0502866
Ickes	0.0501596
Arnold	0.05001
Barton	0.0499836
Roberson	0.049967
Jeff	0.0499167
Higgins	0.0498757
Ogilvy	0.0493439
McAuliffe	0.0492374
fritz	0.0491531
Mukora	0.0487442
Hempstead	0.0487371
Blume	0.04869
Simon	0.048581
Gehry	0.0484543
matt	0.0484427
Levin	0.04838
Jeb	0.0483421
H.	0.0481695
Nathaniel	0.0481338
Cochran	0.0479791
Hutchinson	0.0479433
Rockwell	0.0479253
Gregory	0.0478413
Westbrook	0.0477473
Goldin	0.0476872
Juan	0.0476692
Joseph	0.0475769
STALEY	0.0475052
Kubrick	0.0474977
Robby	0.0474768
Timlin	0.0474584
"Tommy Bowden"	0.0474428
Rea	0.0473748
Jorge	0.0472721
"Van Raaphorst"	0.0471195
O'Neil	0.0469935
Bechtel	0.0469909
Dorismond	0.0469621
Zheng	0.0469322
Graziani	0.0467188
Nelson	0.0466098
McCown	0.0465784
Noah	0.0465726
Ashley	0.0465515
Wayne	0.0464081
Matthew	0.0464025
Hancock	0.0463437
Lindsey	0.0463016
Kagalovsky	0.0463012
Skaneateles	0.0462972
Birnbaum	0.0462538
Patrick	0.0462326
Andy	0.0461559
Rashid	0.0460662
Grasso	0.0460412
Latham	0.0460043
Craig	0.0460006
Vincent	0.0459899
Perelman	0.0459728
Owen	0.0459506
Tracey	0.0457457
Bonner	0.0456599
Dilfer	0.0456453
Willie	0.0456008
Fairbanks	0.0455919
Whittingham	0.0454759
Justin	0.0454634
Macdonald	0.0454145
Shepard	0.0453948
Schiffer	0.0453353
DiCarlo	0.0452664
Schulz	0.0451698
Waterville	0.0451443
Bidwill	0.04502
Gilbert	0.0450164
douglas	0.0450163
Sargent	0.0449744
Yarnall	0.0449042
Segal	0.0448862
Scott	0.044881
Peyton	0.0447956
Jimmy	0.0447644
Matthews	0.0446776
McGinn	0.0446702
Leonard	0.0445771
Gary	0.044533
Higginson	0.044519
Brock	0.0444926
Fitzgerald	0.0444838
McMahon	0.0444597
Puente	0.0444341
Girard	0.0443623
Blackmun	0.0443519
Tevanian	0.0442028
Pederson	0.0441676
Wyatt	0.0441065
Sheedy	0.0440635
"Doug Johnson"	0.0440572
Sherman	0.0440524
Noel	0.0439909
Detmer	0.0439671
Alexander	0.0439152
Dooley	0.0437595
Manning	0.0437046
hodgson	0.0436905
Flores	0.04364
Moliere	0.0435815
"Jesus Christ"	0.0435767
Paul	0.0435689
Brandon	0.0435502
Gerald	0.0435218
Tuinei	0.0434981
Weiner	0.0434843
Steve	0.0434141
Howe	0.0433624
Kohn	0.043354
Sahadi	0.0433107
"Juan Miguel"	0.0432573
Kimes	0.0432502
Weinke	0.0432453
))
("Alfred Hitchcock" (desc 6049.59) (sims
"Stanley Kubrick"	0.150074
"Akira Kurosawa"	0.149093
Hitchcock	0.147036
"Orson Welles"	0.137383
"John Ford"	0.136929
"Frank Capra"	0.128358
"Billy Wilder"	0.12353
Fellini	0.119348
Truffaut	0.113614
"David Lynch"	0.110176
"Ingmar Bergman"	0.110046
"Neil LaBute"	0.10874
"Terrence Malick"	0.108324
"Van Sant"	0.106678
"Wes Craven"	0.104546
"Steven Soderbergh"	0.103194
"Buster Keaton"	0.102152
"John Wayne"	0.100618
"Robert Altman"	0.0981229
"Spike Lee"	0.0975052
"this @@@@"	0.0951928
"John Waters"	0.0919974
"Jonathan Demme"	0.0888494
"Martin Scorsese"	0.0859004
Zapruder	0.0854335
"Nora Ephron"	0.0853458
"Marx Brothers"	0.0832549
"Steven Spielberg"	0.0813911
"Pedro Almodovar"	0.076897
"Rob Reiner"	0.0752456
"Tim Burton"	0.0742
"Oliver Stone"	0.0740661
"Julie Taymor"	0.0735705
"Tennessee Williams"	0.0725867
slasher	0.0722388
"Lucille Ball"	0.0719146
"Ron Howard"	0.0718913
"Mike Nichols"	0.0715747
"Barry Levinson"	0.0709514
"John Huston"	0.0707111
Kurosawa	0.0703205
"Bob Hope"	0.0698981
"Clint Eastwood"	0.0696522
"John Grisham"	0.0691421
Grisham	0.0687869
Kubrick	0.0684244
"William Randolph Hearst"	0.0677362
"Woody Allen"	0.0675666
"Robert Redford"	0.0673901
"Graham Greene"	0.0671356
"J. Edgar Hoover"	0.0649153
"Walt Disney"	0.0648196
"James Dean"	0.0640033
"Steve McQueen"	0.062896
"Lethal Weapon"	0.0621193
Almodovar	0.061609
"Francis Ford Coppola"	0.0610648
"Elizabeth Taylor"	0.0602856
"Katharine Hepburn"	0.0600192
"Cary Grant"	0.0592219
"Quentin Tarantino"	0.0589443
Sayles	0.0585851
"Frank Sinatra"	0.0585198
Chaplin	0.0566295
"Parent Trap"	0.0564355
"Fred Astaire"	0.0564323
"James Bond"	0.0561298
"Marlene Dietrich"	0.0559321
"Clark Gable"	0.0557837
Scorsese	0.0557624
"Spencer Tracy"	0.05512
Nabokov	0.0546293
"Indiana Jones"	0.0543342
Goethe	0.0540938
"Ernest Hemingway"	0.0540395
"Jimmy Stewart"	0.0539838
"Marlon Brando"	0.0539192
"Charlie Chaplin"	0.0538977
Melville	0.0538805
noir	0.0535919
"Joan Crawford"	0.0535918
made-for-TV	0.0535475
"George Lucas"	0.0534587
"King Kong"	0.0534246
"Greta Garbo"	0.0533576
"Frank Lloyd Wright"	0.0528682
"Bruce Lee"	0.0527574
"E.B White"	0.0522862
"Jimi Hendrix"	0.0522269
"Judy Garland"	0.0519209
"Mark Twain"	0.0516221
Sandler	0.0507872
"David Mamet"	0.050667
"George Orwell"	0.0505108
"Xie Zhenhua"	0.0504629
Schwarzenegger	0.0502983
"Leonardo DiCaprio"	0.0497808
indie	0.0492565
Porno	0.0490475
"Paul Schrader"	0.0490388
"Humphrey Bogart"	0.0490386
lassie	0.0489489
"Cole Porter"	0.0486782
Wilder	0.0484874
IMAX	0.0482937
"Andy Warhol"	0.0476969
Orwell	0.0474165
"Mother Teresa"	0.0472673
"Tim Robbins"	0.0471368
Miyazaki	0.0468866
Boorman	0.0468195
Welles	0.046733
"Elvis Presley"	0.046666
psycho	0.046658
"Louis Armstrong"	0.0463526
"Abraham Lincoln"	0.0463469
Spielberg	0.0460151
"Martin Luther King"	0.0460142
"wide screen"	0.0458189
Spring/Summer	0.0456297
"Sam Mendes"	0.0455674
"Eudora Welty"	0.045556
Crichton	0.0449155
Frankenstein	0.0444427
"Johnny Carson"	0.0443719
Frankenheimer	0.0438899
"Charles Dickens"	0.043506
"Marilyn Monroe"	0.0434458
"Gary Cooper"	0.0433393
"Errol Flynn"	0.0433163
"P.T Barnum"	0.0431063
Altman	0.0430706
Coen	0.0429824
"Theodore Roosevelt"	0.0429399
"Aretha Franklin"	0.0429131
"James Stewart"	0.0426867
"Warner Bros."	0.0425893
"science fiction"	0.0423921
"Tom Cruise"	0.0423416
"Randy Newman"	0.0421651
"Barbra Streisand"	0.0420864
"George Gershwin"	0.0420318
"Duke Ellington"	0.0419653
Hartley	0.0419234
Bergman	0.041794
Tchaikovsky	0.0417409
"Audrey Hepburn"	0.0417269
special-effects	0.0414355
"Gregory Peck"	0.0413295
"Bette Davis"	0.0413165
Picasso	0.0411623
"Franklin D. Roosevelt"	0.0410203
Pushkin	0.0409317
Sasha	0.0407736
"Victor Hugo"	0.0404827
"Thomas Crown Affair"	0.040457
"Herman Melville"	0.0404071
"Burt Reynolds"	0.0403355
Beatles	0.0401017
Freddy	0.0400247
Godzilla	0.0400061
))
(ALFREDO (desc 1478.71) (sims
teriyaki	0.0852281
pesto	0.0747636
"La Traviata"	0.0737825
Chipotle	0.0667327
wasabi	0.0663345
slaw	0.0629172
kumquat	0.0598583
butterscotch	0.0590004
Madeira	0.052768
soya	0.0503728
Carpaccio	0.0495122
tomatillo	0.0474802
lemongrass	0.0474408
Tamarind	0.0463672
Dominguez	0.0462486
Dijon	0.04599
Roquefort	0.0458691
condiment	0.0455685
"Dodi Fayed"	0.0453749
dandelion	0.0442263
A-@	0.0441515
"options contract"	0.042861
"Dame Judi Dench"	0.042189
tortellini	0.0419732
Dido	0.0418476
SUI	0.0415444
Godot	0.0414762
morel	0.0406489
))
(Alfredsson (desc 932.827) (sims
Neumann	0.177858
Inkster	0.174296
McKay	0.146942
Pak	0.143217
Sorenstam	0.134274
Davies	0.124999
Hurst	0.124366
"Karrie Webb"	0.118315
Webb	0.118249
Fleisher	0.0980787
Mallon	0.093973
Rucchin	0.0922431
"Peter Bondra"	0.0900473
"Helen Alfredsson"	0.0850364
Chuasiriporn	0.0844976
Trepagnier	0.0829048
Scelzi	0.0826062
Maruyama	0.0816439
"Betsy King"	0.0788717
Kane	0.0780135
O'Connell	0.0779285
Andreychuk	0.077421
Magee	0.0774201
"Annika Sorenstam"	0.0763773
McKenna	0.0755526
Kremer	0.0751797
McInnis	0.0745293
"Meg Mallon"	0.0738678
"Greg Adams"	0.073586
Abdur-Rahim	0.0735625
Gervin	0.0731736
Gilmour	0.0729452
Hoch	0.0728126
Stackhouse	0.0710212
Kuehne	0.0709958
Smolinski	0.0706907
Laettner	0.0706557
Elam	0.0698308
Wasserstein	0.0683786
Lafleur	0.0681809
Kimble	0.06766
Allchin	0.0676357
"Dottie Pepper"	0.0671106
"Van Exel"	0.0669537
Joklik	0.0666004
Niedermayer	0.0664419
Mendez	0.0663772
Frye	0.0658946
Cink	0.0657466
Drury	0.0654416
Audette	0.0654125
Lacroix	0.0652001
Abdul	0.0650833
"Stern John"	0.0650466
LeClair	0.0648419
"Los Angeles Galaxy"	0.064623
Robitaille	0.0646023
"Jyrki Lumme"	0.0639851
Stephenville	0.0639109
Parris	0.0638639
"Miami Fusion"	0.0635057
Weatherspoon	0.0628705
"Raef LaFrentz"	0.062313
"Chris Perry"	0.0622133
Mueller	0.062145
"Jenny Chuasiriporn"	0.0620382
Gogel	0.0618404
Vidro	0.0610334
Stumpel	0.0610112
Drummond	0.0610099
"Fredrik Olausson"	0.0609599
Utes	0.0608389
Slovenian	0.0605787
Walesa	0.0603969
Nailon	0.0602634
"Roy Lassiter"	0.0601062
Heinrichs	0.0600323
"Alexander Mogilny"	0.0599101
Doan	0.0595529
"Jason Elam"	0.0594104
Woolley	0.0593643
Espinosa	0.058779
Boorman	0.0585689
"Alexei Kovalev"	0.0585118
"Mauricio Ramos"	0.0584175
"Larry Nelson"	0.0580718
Napolitano	0.0580597
Kuchar	0.0579449
Kerr	0.0579188
"Pavol Demitra"	0.0577074
Cleary	0.0576988
Cummins	0.0576735
Timms	0.0574228
Cienfuegos	0.0573338
Turgeon	0.0572918
Hakim	0.0572303
Capel	0.0572016
"Al MacInnis"	0.0571583
Ceballos	0.0569605
"Scott Niedermayer"	0.0568163
Neal	0.0568078
"Andrew Coltart"	0.0567991
Fizer	0.0567737
Nedved	0.0567242
Jacobsen	0.0566712
"Kevin Stevens"	0.0565991
McKnight	0.05575
Sydor	0.0556396
Yorke	0.055327
Shenhua	0.0551306
"Juli Inkster"	0.0549995
Fryman	0.0546352
"Jennifer Gillom"	0.0545789
"Mattias Norstrom"	0.0545789
Langenbrunner	0.0545745
"Mark Calcavecchia"	0.0544709
Hejduk	0.054467
Alou	0.0544619
MacInnis	0.0543981
Sundin	0.0541732
Scalabrine	0.0540389
"John LeClair"	0.0539743
Fullmer	0.0538267
"Red Star"	0.0537914
Langham	0.0537809
Artest	0.0537169
Yzerman	0.053679
Boles	0.053562
Leetch	0.0534948
"Carlos Hermosillo"	0.0534236
"Justin Rose"	0.053401
"Predrag Mijatovic"	0.0532342
Bustamante	0.0531742
"Red Star Belgrade"	0.0531411
"Joe Sakic"	0.053106
Majerle	0.0530185
"Miguel Angel Jimenez"	0.0529392
Faldo	0.0527502
"Isao Aoki"	0.052733
"Raul Diaz Arce"	0.0526975
Hornaday	0.0526062
Hightower	0.0525554
"Horned Frogs"	0.0524995
Laudrup	0.052441
"Partizan Belgrade"	0.0524371
Gump	0.0523334
Stadler	0.0521089
Gauthier	0.0520712
Hawkeyes	0.0520472
Kukoc	0.0520331
"Adam Oates"	0.0520087
Djorkaeff	0.0519219
Gullikson	0.051893
"Shawn Chambers"	0.0514788
Stoudamire	0.0514762
Smyth	0.0514547
Rubenstein	0.0514154
Hecht	0.0513394
"Scarlet Knights"	0.0513084
Zambrano	0.0512982
Hollis	0.0512978
Lehtinen	0.0512967
McGinest	0.0512586
Razorback	0.0512341
Ilie	0.0511776
STALEY	0.0510958
Unser	0.0510381
"Mookie Blaylock"	0.0509888
Lieberthal	0.0509811
Tomko	0.0509249
"Othella Harrington"	0.0508154
magpie	0.0507841
"Olympique Marseille"	0.0507529
Parrish	0.050594
"Brian Skrudland"	0.0505727
Briere	0.0505355
Arkin	0.0503221
"Antonio Langham"	0.0503127
"Gary Roberts"	0.0501712
Recchi	0.0501691
"Velez Sarsfield"	0.0501207
Gatling	0.050019
Najera	0.0499759
Serna	0.0499648
Winn	0.0499609
Conroy	0.0499597
Cavs	0.0499511
"Phenix City"	0.0499303
Kashima	0.04992
Gillom	0.0498921
gamecock	0.049887
Dellucci	0.0497805
Bautista	0.0497762
"Gabe Muoneke"	0.0497394
Gremio	0.0497327
Lobo	0.049732
Alfonso	0.0496177
"Travis Best"	0.0496153
Warne	0.0495905
Enis	0.0495904
))
(algae (desc 8951.76) (sims
plankton	0.206419
fungi	0.182405
microorganism	0.167827
Lichen	0.16334
mildew	0.158109
bacteria	0.144079
fungus	0.135479
seaweed	0.127241
"water hyacinth"	0.116147
weed	0.115563
microbe	0.113098
organism	0.111999
"flowering plant"	0.108347
pollen	0.106471
insect	0.106463
spore	0.100207
parasite	0.0989618
coral	0.0978381
pathogen	0.0957848
vegetation	0.0937217
yeast	0.0932185
fern	0.0925123
mollusk	0.0905323
mold	0.0890368
crustacean	0.088521
mite	0.0869555
contaminant	0.0867754
mammal	0.0863805
wildflower	0.0850172
silt	0.0841964
ragweed	0.0841444
worm	0.0837577
vertebrate	0.0823132
larvae	0.081865
slime	0.0809838
invertebrate	0.0797982
pest	0.0796228
cryptosporidium	0.0780033
anemone	0.0777129
mussel	0.0766071
grass	0.0763952
Sewage	0.0751055
shellfish	0.0738424
Moss	0.0722306
arsenic	0.0704574
"cancer cell"	0.0701725
snail	0.0700793
creature	0.0695581
toxin	0.0687998
specie	0.0686868
cyanide	0.068038
pollutant	0.0673775
chlorine	0.0673532
locust	0.06708
sediment	0.0667168
virus	0.0664516
Milkweed	0.0664217
nutrient	0.0659502
bacterium	0.0648949
giardia	0.0644622
nematode	0.0641153
chemical	0.0640221
orchid	0.0633902
pesticide	0.063026
"sea horse"	0.0628793
Radon	0.0627977
kudzu	0.0627699
bamboo	0.0627645
"chemical compound"	0.0624267
PCBs	0.0623982
coli	0.0622081
peony	0.0619837
"food coloring"	0.0614254
mosquito	0.0610728
particle	0.0610696
moth	0.0609183
salmonella	0.0605974
"air bubble"	0.0601828
stain	0.0601145
aphid	0.0600782
pebble	0.0597336
cactus	0.0593874
protein	0.0587357
nitrogen	0.0585198
germ	0.0584409
reptile	0.0578084
tumor	0.0574869
mushroom	0.0570905
sand	0.0570171
soot	0.0568763
"plant life"	0.0564446
weevil	0.0564199
mud	0.0560819
"white blood cell"	0.0560715
dust	0.0557174
debris	0.0556259
abalone	0.0555897
amaryllis	0.0554588
"water plant"	0.0554114
vine	0.0551933
rodent	0.0550501
crocodile	0.054914
filament	0.054822
"carbon dioxide"	0.0545982
"life form"	0.0545684
clam	0.0543335
shrub	0.0542318
herb	0.0541753
residue	0.0541369
flea	0.0537376
"rainbow trout"	0.0534994
beetle	0.0534651
"amino acid"	0.0532368
sponge	0.0530696
impurity	0.0529219
droplet	0.0529171
Primate	0.0527114
sumac	0.0525675
moisture	0.0525014
fauna	0.0523431
"brain cell"	0.0520506
hydrocarbon	0.0520471
ant	0.0518827
pollution	0.0518684
wildlife	0.0516281
"skin cell"	0.0515439
foliage	0.0514787
rust	0.0511399
dandelion	0.0510324
sulfur	0.0508037
"gray whale"	0.0503178
lizard	0.0503063
"carbon monoxide"	0.0502099
effluent	0.0501955
termite	0.0500921
weeds	0.0500537
eel	0.0500473
vapor	0.0500291
turtle	0.0499467
prawn	0.0498862
herbicide	0.0498459
amphibian	0.0495554
gravel	0.0495435
snake	0.0493716
"Homo erectus"	0.049203
dirt	0.0491231
tulip	0.0490208
salamander	0.0488236
"living thing"	0.0487177
Starfish	0.0485105
dioxins	0.0483075
sludge	0.0482975
malignancy	0.0482535
grime	0.0482343
"foot-and-mouth disease"	0.0481673
"giant panda"	0.0481321
trout	0.048072
hyacinth	0.0479267
molecule	0.0479129
shrimp	0.047889
"oil slick"	0.0476727
oxygen	0.047636
cockroach	0.0475229
"contagious disease"	0.0474996
azalea	0.0474641
dioxin	0.0473865
sapling	0.0471627
"morning glory"	0.0469997
isotope	0.0469797
"fish fry"	0.0469112
"right whale"	0.0467551
coca	0.0466576
"water vapor"	0.0465336
mastodon	0.0465211
enzyme	0.0464475
radioactivity	0.0464041
salt	0.0462745
listeria	0.0461877
Lice	0.0461747
crabs	0.0461558
gasses	0.0458653
"sea turtle"	0.0458045
pansy	0.0457016
substance	0.045556
berry	0.0454766
"ground cover"	0.0454744
echinacea	0.0453665
earthworm	0.0451894
anchovy	0.0451473
smog	0.0449972
"water pollution"	0.044912
canker	0.044847
fiber	0.0447435
fluoride	0.0445598
gunk	0.0443592
"rare bird"	0.0443228
resin	0.044302
byproducts	0.0442472
tritium	0.0441899
fluid	0.0441764
))
(algebra (desc 3764.53) (sims
civics	0.191946
math	0.180775
mathematics	0.149099
calculus	0.148064
physics	0.137912
geometry	0.133624
"computer science"	0.117481
biology	0.114077
arithmetic	0.110949
"English class"	0.106894
geography	0.104989
Putonghua	0.104599
"earth science"	0.102907
MCAS	0.102296
"physical education"	0.0903183
literacy	0.0867093
Kiswahili	0.0866589
TAAS	0.0822053
psychology	0.0819684
Chemistry	0.0819543
astronomy	0.0808978
"nuclear physics"	0.0802091
polygraph	0.0774804
"English teacher"	0.0758116
linguistics	0.0756822
"computer programming"	0.0750127
"computer application"	0.073125
geology	0.0715492
"computer operation"	0.0707661
catechism	0.0705647
eighth-grade	0.0700373
spelling	0.0700285
"theory of evolution"	0.0697619
third-grade	0.0688016
penmanship	0.0683033
"problem solving"	0.0679652
Hebrew	0.0672638
alphabet	0.0672272
yoga	0.0662963
"special education"	0.0659898
grammar	0.0648799
"English language"	0.0644177
"sixth grade"	0.0630447
"German language"	0.0629714
engineering	0.0626561
carpentry	0.0618158
logic	0.061733
"magnetic resonance imaging"	0.0613646
"liberal arts"	0.0609047
agro-technology	0.0608799
Botany	0.0606807
"general knowledge"	0.0605591
archeology	0.0602935
SAT	0.0600769
economics	0.0600239
creationism	0.0599161
Swahili	0.0599139
coursework	0.0586997
"political science"	0.0583489
Etiquette	0.0578823
"sign language"	0.057608
second-grade	0.0573131
Cantonese	0.0572148
"social science"	0.0571399
"environmental science"	0.056464
typing	0.0564302
phonics	0.0564036
Anatomy	0.0563779
sociology	0.0561447
"basic concept"	0.0540991
woodworking	0.0540057
"mechanical engineering"	0.0540042
aerobics	0.0538589
"first grade"	0.053787
sixth-grade	0.0536679
agro-techniques	0.0531903
mambo	0.0530709
"math teacher"	0.0529961
"Pope John Paul"	0.0529313
Arabic	0.0529207
"law of nature"	0.0523044
"martial art"	0.0522761
vocabulary	0.0522345
cosmology	0.0518984
"adult education"	0.0516759
Yiddish	0.0515745
theology	0.0515073
reasoning	0.051411
"computer technology"	0.0513044
"science teacher"	0.0511969
"comparative literature"	0.0511967
syllabus	0.0507683
meteorology	0.0503503
physiology	0.0503295
"fifth grade"	0.0502898
symmetry	0.0498269
Afrikaans	0.0498063
enema	0.049791
"particle physics"	0.0497687
Latin	0.0492998
"quantum mechanics"	0.0490425
nursing	0.0487733
"third grade"	0.0485483
pathology	0.0481871
beginner	0.0480553
"word processing"	0.0478156
Pe	0.0476457
"economic theory"	0.0476371
"data entry"	0.047558
anthropology	0.0475088
"public speaking"	0.0472103
highschool	0.0468128
comprehension	0.0468049
"first aid"	0.0465865
"second grade"	0.0465353
"molecular biology"	0.046467
"elementary education"	0.0463251
"preventive medicine"	0.0460704
Mandarin	0.0459994
"ballroom dancing"	0.045992
"quantum theory"	0.0458022
"eighth grade"	0.0453855
"chemical engineering"	0.0449508
"good manners"	0.0449507
Scripture	0.0447646
curricula	0.0446799
diploma	0.0446725
"scientific theory"	0.0444112
"line drawing"	0.0440716
pharmacology	0.0440061
"social work"	0.0438121
semester	0.0437459
self-help	0.0427371
Urdu	0.042573
Adelphia	0.0425418
stagecraft	0.0420053
kindergarten	0.0419581
"dance step"	0.0418395
"Kung Fu"	0.0417035
Talmud	0.0417023
psychoanalysis	0.0416605
"fine art"	0.0414633
Marxism	0.041404
trivia	0.0413955
"Sunday school"	0.0413816
"biological science"	0.0411638
Buddhism	0.0410669
zoology	0.0409716
proficiency	0.0409525
computing	0.0409484
"natural science"	0.0407713
"medical science"	0.0406337
"fine arts"	0.040596
robotics	0.0404951
"alternative medicine"	0.0403372
genetics	0.0401717
nonviolence	0.0401695
remediation	0.0400186
syntax	0.0400104
))
(Algeria (desc 40852.2) (sims
Tunisia	0.228605
Egypt	0.225026
Oman	0.21273
Mali	0.210138
Yemen	0.209813
Senegal	0.209486
Namibia	0.206293
Ghana	0.205465
Libya	0.203903
"Saudi Arabia"	0.203337
Morocco	0.19974
Sudan	0.197144
Nigeria	0.195728
Mauritania	0.191174
Qatar	0.190291
Ethiopia	0.190212
Togo	0.188172
Gabon	0.185327
Kuwait	0.184364
"South Africa"	0.183399
Bahrain	0.183284
Mozambique	0.18277
Angola	0.181982
Iran	0.177411
Kenya	0.176681
Uganda	0.175864
Zambia	0.175604
"Burkina Faso"	0.175507
Zimbabwe	0.171701
Venezuela	0.169075
Peru	0.169018
Burundi	0.167392
Mauritius	0.166947
Liberia	0.166792
"Sri Lanka"	0.166588
Guinea	0.16611
Pakistan	0.165987
Colombia	0.1653
Bulgaria	0.165212
"Sierra Leone"	0.164824
"United Arab Emirates"	0.164648
Benin	0.164018
Congo	0.163456
Poland	0.163121
Cambodia	0.162806
Botswana	0.162801
Tanzania	0.161701
Ukraine	0.161475
Turkey	0.161435
Malawi	0.161178
Lebanon	0.160766
Romania	0.160022
"Ivory Coast"	0.159986
Niger	0.159376
Rwanda	0.159143
Kazakhstan	0.159018
Nicaragua	0.158605
Malaysia	0.158257
Hungary	0.157171
Thailand	0.156049
Guatemala	0.155449
Uzbekistan	0.155062
Madagascar	0.154924
Armenia	0.153987
Bolivia	0.153598
Greece	0.153204
Syria	0.153192
"African country"	0.152926
Indonesia	0.152737
Chad	0.151431
Bangladesh	0.150517
Austria	0.150224
India	0.149968
Cuba	0.149335
Zaire	0.148954
Argentina	0.148774
Cameroon	0.148484
Somalia	0.148371
Portugal	0.147987
Gambia	0.147457
Uruguay	0.147072
Afghanistan	0.146851
Norway	0.146021
France	0.145786
Switzerland	0.145536
Finland	0.145146
"South Korea"	0.144779
Ecuador	0.144505
Brunei	0.144037
Eritrea	0.144034
Russia	0.143843
"El Salvador"	0.143302
Mexico	0.143179
Chile	0.142331
Mongolia	0.141512
Croatia	0.13875
Italy	0.138718
Djibouti	0.138684
"African nation"	0.137861
Swaziland	0.137853
Haiti	0.137703
Laos	0.13732
Albania	0.137185
China	0.137116
Spain	0.136472
Latvia	0.136461
Belgium	0.135902
Philippines	0.135686
Brazil	0.135456
UAE	0.135418
Slovenia	0.135031
Guinea-Bissau	0.134679
Belarus	0.133929
Kyrgyzstan	0.133906
"Costa Rica"	0.133629
Panama	0.13341
Lithuania	0.132709
Turkmenistan	0.132448
Lesotho	0.131366
Slovakia	0.131007
Yugoslavia	0.130699
Iraq	0.130639
Australia	0.13036
Cameroun	0.129335
Israel	0.129319
Canada	0.129283
Iceland	0.128937
Malta	0.128794
Vietnam	0.128467
Ireland	0.127776
Myanmar	0.127162
Japan	0.127032
Tajikistan	0.126629
Jamaica	0.126565
Germany	0.126161
Jordan	0.126031
Britain	0.125508
Cyprus	0.125402
"New Zealand"	0.124443
"Dominican Republic"	0.124379
Denmark	0.124214
"Northern Ireland"	0.123476
Nepal	0.123118
Moldova	0.121776
Paraguay	0.121564
Guyana	0.121169
"North Korea"	0.120661
Netherlands	0.120384
"Papua New Guinea"	0.120212
Sweden	0.120203
Bosnia	0.120058
Republic	0.118939
Palestine	0.118631
Comoros	0.118617
Honduras	0.118079
Azerbaijan	0.117041
Macedonia	0.116523
Burma	0.116423
"Central African Republic"	0.114466
Estonia	0.1143
"Republic of Congo"	0.113709
"Czech Republic"	0.11324
Luxembourg	0.113171
Maldives	0.112907
DRC	0.112609
"East Timor"	0.112477
Singapore	0.112072
Fiji	0.111784
"United States"	0.111368
Kazakstan	0.111219
"Cape Verde"	0.110162
"United Kingdom"	0.109364
Africa	0.109066
country	0.10886
"Equatorial Guinea"	0.108224
Korea	0.107387
"Asian country"	0.107286
Seychelles	0.10665
Bhutan	0.106165
Tehran	0.105228
Chechnya	0.105034
"Democratic Republic"	0.103722
"Republic of Korea"	0.102553
"European country"	0.102146
Algiers	0.101948
"Sao Tome and Principe"	0.10166
Taiwan	0.0993107
"Middle East"	0.0992552
"Guinea Bissau"	0.0986719
Moscow	0.0985837
Scotland	0.0982171
"Asian nation"	0.0978133
Kashmir	0.0975685
PYONGYANG	0.0972288
Baghdad	0.096366
"Central American country"	0.0956273
"Democratic Republic of the Congo"	0.0947622
England	0.094511
"Great Britain"	0.0942226
Suriname	0.0939329
))
(Algerian (desc 8710.27) (sims
Libyan	0.144953
Ressam	0.132248
Sudanese	0.131104
Colombian	0.129187
Moroccan	0.128545
Iranian	0.125146
Pakistani	0.119335
Tunisian	0.11844
Jordanian	0.116926
Egyptian	0.115433
Nigerian	0.114793
Haitian	0.114571
"Iranian Jews"	0.113364
Iraqi	0.112714
Yemeni	0.112352
Chilean	0.110243
Cambodian	0.109832
Ukrainians	0.109174
Ugandan	0.106722
Afghan	0.105459
Turk	0.104993
Lebanese	0.102689
Ghani	0.102487
Saudi	0.101654
Guatemalan	0.10067
Ethiopian	0.100061
Filipino	0.0996316
Kurds	0.0984106
Syrian	0.0977452
Taiwanese	0.0968949
Bosnians	0.0964024
Romanian	0.0963664
"army officer"	0.0951315
Tanzanian	0.0950228
Kuwaiti	0.0947461
Eritrean	0.0940797
"Bosnian Serb"	0.0938949
Bangladeshi	0.0934467
Salvadoran	0.0925255
Liberian	0.0921949
Zambian	0.0917823
supremacist	0.0912556
Venezuelan	0.090704
dissident	0.0905036
Kenyan	0.0897801
Indonesian	0.0894857
Swiss	0.0892875
foreigner	0.0889773
Jamaican	0.0889115
Somali	0.0883335
Hungarian	0.0878735
Mexican	0.0863885
Briton	0.0859739
Dutchmen	0.0858095
Quebecers	0.0853087
Peruvian	0.0844719
Belgian	0.0843657
"white man"	0.0839163
Frenchmen	0.0839114
Canadian	0.0836376
Angolan	0.0835631
Zairean	0.0831639
Englishmen	0.0829948
Vietnamese	0.0825947
Armenians	0.0821637
fugitive	0.0818382
German	0.081835
"Sri Lankans"	0.0817784
drifter	0.0810887
"church member"	0.0807848
"military officer"	0.0802333
Israeli	0.0801901
Bulgarian	0.0800964
"second person"	0.0795338
"Kosovo Albanians"	0.0794186
Chinese-Indonesians	0.0792056
Georgian	0.0791319
illegals	0.0790892
Singaporean	0.0790366
"Ahmed Ressam"	0.0790189
Brazilian	0.0789259
serviceman	0.0788128
Kalejs	0.0785282
"South African"	0.0784009
Croats	0.0779773
"Kosovo Serbs"	0.0774384
Greeks	0.0773728
Rwandan	0.0773493
Palestinian	0.0772542
Spaniard	0.0772064
Koreans	0.0769638
Thai	0.0769119
Argentine	0.0767927
"Sierra Leonean"	0.0766861
"South Koreans"	0.0764838
Kurd	0.0764699
Honduran	0.0764378
westerner	0.0764093
Zimbabwean	0.076399
"Cuban Americans"	0.0761846
Jew	0.075861
Yugoslav	0.0757783
Nepalese	0.0757752
Arab	0.0756161
Missourian	0.0754461
Muslim	0.0749087
African	0.0747793
"El Hage"	0.0746788
Senegalese	0.0745303
Mozambican	0.0743693
Hage	0.07433
Arab-Americans	0.0736152
Laden	0.073519
diplomat	0.0733631
Beijingers	0.0731892
Shayler	0.0731234
Cuban-Americans	0.0729364
Cuban	0.0723938
"Israeli Arabs"	0.0722656
Austrian	0.0721649
Italian	0.0721231
protestor	0.0719947
Japanese	0.0719221
ex-convict	0.0716709
Londoner	0.0716552
"drug trafficker"	0.0713956
militant	0.0711393
Latvians	0.0711349
Laotian	0.0709777
"Kosovar Albanians"	0.0707108
Gravano	0.0705322
immigrant	0.0705313
"intelligence agent"	0.0700973
Muscovite	0.0700552
"Iraqi POWs"	0.0699464
"enlisted man"	0.0696678
"North Koreans"	0.0695093
Asian-Americans	0.0694397
Guinean	0.0693352
Meskini	0.0692683
Kaunda	0.0691036
defendant	0.06905
Ecuadoreans	0.0690151
activist	0.0685715
villager	0.0683548
Albanian	0.0683447
Tibetans	0.0682675
Californian	0.0681727
Malaysian	0.0677335
Bolivian	0.0671304
Panamanian	0.0671067
Moslem	0.0670325
Slovaks	0.0670022
paraplegic	0.0669829
banker	0.0668616
"New Zealander"	0.0668347
migrant	0.0666327
"Russell Peeler"	0.0665324
Blackthorne	0.0663244
transient	0.0663059
Chechens	0.0662406
Soliah	0.066236
"police officer"	0.065998
Ecuadorian	0.0654719
Cameroonian	0.0653994
Ntuyahaga	0.0653595
terrorist	0.0653227
Nicaraguan	0.0652486
"university student"	0.0650026
parolee	0.0646582
Namibian	0.0645602
Turkish	0.0645531
leftist	0.0645519
Australian	0.0644599
"Ruiz Massieu"	0.0643
"Iraqi Kurds"	0.0642314
detainee	0.0640334
stowaway	0.0638031
"newspaper editor"	0.0637375
Kiareldeen	0.0633298
Floridian	0.0632405
Serbians	0.0632023
Garofalo	0.063148
"East German"	0.0630104
Sikh	0.063008
reservist	0.0629532
"political dissident"	0.0629178
Norwegian	0.0628024
Hindu	0.0627227
Gypsy	0.0624819
"East Timorese"	0.0624645
non-Jew	0.0624223
Malian	0.062412
"Bosnian Croats"	0.0623559
"political prisoner"	0.0623313
mobster	0.062301
juvenile	0.0622963
Macedonian	0.0622394
Parisian	0.0621115
smuggler	0.0620217
))
("Algerian capital" (desc 1443.28) (sims
"Egyptian capital"	0.176585
"Malaysian capital"	0.159518
"Greek capital"	0.13892
Algiers	0.133176
"Iranian capital"	0.126798
Ouagadougou	0.11503
"Nigerian capital"	0.111646
Sirte	0.106951
Pattaya	0.105962
Cartagena	0.101862
"Russian capital"	0.100445
Cochabamba	0.0977092
Makhachkala	0.0935195
Ashkhabad	0.0924363
"Indian capital"	0.0923243
Durban	0.0878071
CARACAS	0.0878018
Mbabane	0.0870351
"Addis Ababa"	0.0866655
Marjayoun	0.0855921
Dushanbe	0.0836286
Kuito	0.0834654
Entebbe	0.0812906
"Victoria Falls"	0.0806667
Davao	0.0805918
Yaounde	0.0799007
Kandy	0.0781704
"Wichita Falls"	0.0773472
Srinagar	0.0772123
Quetta	0.076198
Shepherdstown	0.0752836
Antalya	0.0752269
Gaborone	0.0752117
"Cuban capital"	0.0751124
"San Salvador"	0.0746876
"North Mogadishu"	0.0744397
Lome	0.0736564
Libreville	0.0733376
Edinburgh	0.0714945
TUNIS	0.0712957
Rabat	0.0708266
Taba	0.0704498
Arusha	0.0701291
Windhoek	0.0700469
Medan	0.0692333
Santiago	0.0690771
Asmara	0.0686586
Shiraz	0.0685812
"Victoria Park"	0.06834
"French capital"	0.0683263
Lucerne	0.0682821
Cardiff	0.0681973
Izmit	0.0681336
Dearborn	0.0679839
"Quebec City"	0.0678679
"Rio de Janeiro"	0.0672798
"Central Jakarta"	0.0669086
"April, @@@@"	0.0667829
Doha	0.0665714
BLANTYRE	0.06632
Nabatiyeh	0.0661769
Linz	0.0660107
"national capital"	0.0659805
"Albanian capital"	0.0659269
Bulawayo	0.0655743
SOFIA	0.0654621
RAMBOUILLET	0.06528
Kyoto	0.0646308
Lahore	0.0644443
mid-May	0.0641268
"Okinawa Prefecture"	0.0640153
Teheran	0.0634073
Helsinki	0.0633438
NICOSIA	0.0631077
Vilnius	0.0621461
Gulu	0.0620756
Bamako	0.0620331
Baidoa	0.0619887
Ramallah	0.0618944
Nago	0.0618675
Hyderabad	0.0615419
"San Pedro Sula"	0.0611819
Kigali	0.0610186
Lumbini	0.0604629
Luxor	0.0603936
Lyon	0.0603456
"Northern Province"	0.0594471
mid-December	0.0594113
Vladikavkaz	0.0593226
Mandalay	0.0592757
"open-air market"	0.0590091
Weifang	0.0585523
Katmandu	0.0583834
Rawalpindi	0.0582635
Salzburg	0.0581336
Riyadh	0.0580836
Dodoma	0.0580252
"Guatemala City"	0.057922
Bishkek	0.0576617
Maseru	0.057505
Rafah	0.0572129
Omagh	0.0571688
"Washington D.C."	0.0571585
"Chiang Rai"	0.0565858
Ashkelon	0.0564939
Kismaio	0.0562209
"CHIANG MAI"	0.0558788
PEC	0.0557262
Ambon	0.0556439
Tangshan	0.0554725
Enugu	0.0547163
Tripoli	0.0547041
Ndola	0.0546963
Redding	0.0546504
Baalbek	0.0545788
Quito	0.0542603
Muscat	0.0542259
"Gaza City"	0.0541905
Sharjah	0.054093
CANCUN	0.0539668
Kaduna	0.0538922
Assab	0.0538201
"July, @@@@"	0.0537728
"Quezon City"	0.0535002
sanatorium	0.0534942
Shashi	0.0533485
Okinawa	0.0533098
Eilat	0.0532946
Accra	0.0527101
Vientiane	0.0525089
Luxemburg	0.0524606
Paranthan	0.05211
Lianyungang	0.0519584
Asuncion	0.0518546
Hannover	0.0516871
Jinja	0.0515517
Marrakesh	0.0514677
"Liberian capital"	0.0514044
Yangzhou	0.0513503
"small hours"	0.0513409
Langkawi	0.0513344
Qufu	0.0512012
Zhangjiagang	0.0511837
mid-November	0.0507087
"Subic Bay"	0.0506498
Mankulam	0.0504098
Decani	0.0502002
Kisumu	0.0501
"Hainan Island"	0.0500959
Bujumbura	0.0499865
Gudermes	0.0499776
Cebu	0.0498337
Bangui	0.0497648
Khulna	0.0494244
Podgorica	0.0492556
Medellin	0.0491502
Changzhou	0.0490291
"Lake Placid"	0.0488703
Maldives	0.0488684
Stockbridge	0.0488327
anchorage	0.0487236
Peshawar	0.0486571
Dakar	0.0486302
Reichstag	0.0485065
governorate	0.0482507
Aqaba	0.0481837
Abidjan	0.047999
Zamboanga	0.047922
"Daytona Beach"	0.0477048
Yinchuan	0.0474026
Siena	0.0473902
"Southern Philippines"	0.0471986
Izmir	0.0470933
"Siem Reap"	0.0470617
"Santo Domingo"	0.0467614
Racak	0.0467154
Acapulco	0.0466235
mid-October	0.0466038
"Wye Plantation"	0.0465492
Vukovar	0.0464876
Urumqi	0.0464151
Quanzhou	0.0462112
Tarzana	0.0461968
Pelham	0.0461503
"Demilitarized Zone"	0.0454424
Flagstaff	0.0454387
Jeddah	0.045377
Midrand	0.0452908
Taloqan	0.0452301
"The Hague"	0.045206
Yantai	0.0451693
Port-au-Prince	0.0449921
Krasnoyarsk	0.044964
Kanungu	0.0448288
Nablus	0.0445982
"March, @@@@"	0.0444902
Haicheng	0.0443886
"La Paz"	0.0442455
Mazar-i-Sharif	0.0442191
Guiyang	0.0441395
))
(Algiers (desc 14604.8) (sims
Dushanbe	0.218087
"Addis Ababa"	0.20568
Riyadh	0.200512
CAIRO	0.20032
Asmara	0.199191
Tripoli	0.197983
TUNIS	0.197416
Lome	0.19691
HARARE	0.191618
Amman	0.188919
Lusaka	0.187005
Beirut	0.186951
Luanda	0.185114
Khartoum	0.17983
SOFIA	0.179486
Windhoek	0.177664
Havana	0.176838
CARACAS	0.176792
BUCHAREST	0.176349
ANKARA	0.175991
KAMPALA	0.175612
KIEV	0.173973
TIRANA	0.172745
Kigali	0.171297
"Phnom Penh"	0.171156
"Buenos Aires"	0.169653
Belfast	0.169211
Sarajevo	0.169005
HANOI	0.168678
LISBON	0.168163
Istanbul	0.16795
COLOMBO	0.16775
Durban	0.167519
ZAGREB	0.167318
Prague	0.16707
Dili	0.166645
Manila	0.16628
BOGOTA	0.166061
MAPUTO	0.165092
Tehran	0.164783
Yaounde	0.164666
Jakarta	0.164322
JOHANNESBURG	0.163456
"Tel Aviv"	0.163078
Doha	0.161987
Islamabad	0.161943
Nairobi	0.161217
Helsinki	0.161015
Accra	0.16039
SEOUL	0.160009
Bangkok	0.159392
Ouagadougou	0.158518
Tbilisi	0.158514
Rabat	0.157715
BRUSSELS	0.157428
Bujumbura	0.157306
"New Delhi"	0.157104
SANAA	0.157093
Tashkent	0.157062
Kinshasa	0.156646
Gaborone	0.156274
"Kuala Lumpur"	0.155917
Pretoria	0.155451
"Dar es Salaam"	0.15458
DHAKA	0.154206
Damascus	0.154169
MANAMA	0.153231
Vienna	0.152351
"San Salvador"	0.15191
Minsk	0.15079
BUDAPEST	0.150583
"Mexico City"	0.149762
Vientiane	0.148752
Madrid	0.14838
"Guatemala City"	0.148183
"Cape Town"	0.14786
Managua	0.147812
NICOSIA	0.147745
Pristina	0.147723
Kabul	0.147179
ATHENS	0.146661
Dublin	0.146221
WARSAW	0.145609
Skopje	0.145445
Moscow	0.145328
Geneva	0.145261
Abidjan	0.144571
Quito	0.144349
"Santo Domingo"	0.144291
Paris	0.144222
Santiago	0.144048
STOCKHOLM	0.142919
Kathmandu	0.142426
Asuncion	0.142202
YANGON	0.142007
Monrovia	0.141634
Maseru	0.14137
"La Paz"	0.141269
Bishkek	0.141157
Baghdad	0.140672
Mbabane	0.13984
Oslo	0.139625
Katmandu	0.137214
Rome	0.136078
TEGUCIGALPA	0.135907
Amsterdam	0.135594
PYONGYANG	0.13445
Bissau	0.134401
"Algerian capital"	0.133176
Tokyo	0.132695
Srinagar	0.132558
Abuja	0.131631
Vilnius	0.131418
Cartagena	0.131055
Lhasa	0.129826
Dakar	0.129122
BELGRADE	0.12867
Peshawar	0.128349
Arusha	0.128114
Baku	0.12804
Lima	0.127567
BEIJING	0.127117
Frankfurt	0.126735
Lagos	0.12655
"KUWAIT CITY"	0.126086
Port-au-Prince	0.12604
Bonn	0.125828
Brazzaville	0.124232
Lahore	0.122934
Grozny	0.122906
Ramallah	0.12285
Muscat	0.122832
"Rio de Janeiro"	0.122188
Karachi	0.121626
Alexandria	0.121139
Taipei	0.120887
"Abu Dhabi"	0.120777
Gaza	0.120474
LONDON	0.119407
"San Juan"	0.119188
Freetown	0.118348
Kandahar	0.117975
Bangui	0.117885
Mogadishu	0.117101
Conakry	0.117064
Auckland	0.116993
BRASILIA	0.116986
PALERMO	0.116936
Bamako	0.116696
Berlin	0.116603
Copenhagen	0.116356
Reykjavik	0.116349
Perth	0.115585
JERUSALEM	0.1155
Halifax	0.114488
"Nigerian capital"	0.113933
Kunming	0.113785
Jeddah	0.113575
"Egyptian capital"	0.113377
Jayapura	0.113348
Lyon	0.11207
MELBOURNE	0.112001
CHENGDU	0.111745
Libreville	0.11129
Strasbourg	0.111278
Kuito	0.110474
Teheran	0.109782
Vladikavkaz	0.10962
Chisinau	0.109528
Osaka	0.108439
"Panama City"	0.107314
Makhachkala	0.106265
Goma	0.106172
Ambon	0.105414
"Ho Chi Minh City"	0.10519
Ashkhabad	0.10508
Jalalabad	0.104772
Naples	0.103955
"Ulan Bator"	0.103448
Juba	0.103119
Alma-Ata	0.102385
Ljubljana	0.1022
Algeria	0.101948
Murmansk	0.101933
Zurich	0.100589
Hyderabad	0.100198
"Oklahoma City"	0.100138
"Sao Paulo"	0.0999738
Suva	0.0993412
Shepherdstown	0.098477
Vladivostok	0.0981958
Mazar-e-Sharif	0.0981679
Brisbane	0.0981241
"San Jose"	0.0976985
Rochester	0.0973261
Delhi	0.0972124
Yerevan	0.0971297
Milan	0.0962401
BRATISLAVA	0.095857
Birmingham	0.0955672
))
(Algonquin (desc 1309.19) (sims
F-H	0.120077
Bantam	0.089379
"Chronicle Books"	0.0849864
Ballantine	0.0735036
Wiley	0.070502
"Warner Books"	0.070313
Delacorte	0.0695091
Knopf	0.0685643
McAllister	0.0662207
capo	0.0658996
Cleaver	0.0642518
Knapp	0.062029
Berkley	0.0600594
Riverhead	0.0597845
"Pocket Books"	0.0595273
HBOC	0.0570537
Doubleday	0.0561011
"St. Martin"	0.056019
MacMillan	0.0546781
"Farrar, Straus &AMP; Giroux"	0.0535868
HARDCOVER	0.0528915
"Henry Holt"	0.0519024
Avon	0.0518442
VHS	0.0506051
"Michael Peca"	0.0484209
"Starr Report"	0.0474527
Anees	0.0464008
almanac	0.0441145
"blast furnace"	0.0437546
"weapon system"	0.0431583
"Modern Library"	0.0429687
Clarence	0.0427452
"attack submarine"	0.0422074
"trading operation"	0.0407307
))
(algorithm (desc 5057.06) (sims
"software system"	0.106584
cryptography	0.102853
"point system"	0.0994738
"computer program"	0.0940662
Encryption	0.0935974
computation	0.0927275
"software package"	0.084877
"scoring system"	0.0825912
"voting system"	0.0758421
Formula	0.0737304
"UNIX operating system"	0.0728057
"artificial intelligence"	0.0719713
"scientific method"	0.0706796
"artificial heart"	0.0690214
"programming language"	0.0685625
"source code"	0.067962
simulation	0.0669689
"communication system"	0.0665027
"computer language"	0.0660051
firewalls	0.0656337
circuitry	0.0655823
"surveillance system"	0.0655503
"computer application"	0.0644158
"weapon system"	0.0634776
robotics	0.0630945
"accounting system"	0.0625996
"communications network"	0.0620299
coding	0.0612255
analyzer	0.0610176
simulator	0.0595787
emulator	0.0595115
"particle accelerator"	0.0590407
endoscope	0.0588956
"utility program"	0.0584005
calculation	0.0583227
equation	0.0579166
"alarm system"	0.0573566
"computer code"	0.0570953
"rating system"	0.0570582
microprocessor	0.0570223
microcomputer	0.0568599
sensor	0.0567796
modeling	0.0567182
microchip	0.0563485
"atom bomb"	0.0560574
avionics	0.056056
theorem	0.0556658
stratagem	0.0547655
"memory chip"	0.054288
"security system"	0.0541015
"genetic engineering"	0.053928
"propulsion system"	0.0539171
"control system"	0.0527151
"catalytic converter"	0.0526713
"silicon chip"	0.0524675
"electronic device"	0.0522803
"contingency plan"	0.0521889
"air-to-air missile"	0.0521152
"teaching method"	0.0520913
supercomputers	0.0518967
"mechanical device"	0.051392
"ventilation system"	0.0512109
"tool kit"	0.0509606
"Windows CE"	0.0507032
spreadsheet	0.0505788
"software product"	0.0503077
"communications technology"	0.0502308
"business plan"	0.0499073
imaging	0.0498234
"master plan"	0.0495944
countermeasure	0.0493141
"disk drive"	0.0492302
router	0.0488974
databank	0.0487507
"Palm VII"	0.0485748
triangulation	0.0485048
mathematics	0.0484972
knowhow	0.0484837
fingerprinting	0.0484041
"fuel cell"	0.0481979
"information superhighway"	0.048102
"X-ray machine"	0.0479774
"storage device"	0.0476336
contraption	0.0475864
"fiber optics"	0.0472633
"sign language"	0.0472526
forensics	0.0470357
Robot	0.0469818
"weapons system"	0.0469799
"chemical compound"	0.0467385
prosthesis	0.046669
storyboards	0.0466507
GPS	0.0466385
"leap year"	0.046595
"cooling system"	0.0465176
"thermonuclear warhead"	0.0464954
Gnutella	0.0464054
interface	0.0462557
iteration	0.0461566
"sleight of hand"	0.0459593
"information system"	0.0459466
gadget	0.0459252
"National Missile Defense"	0.045813
"application program"	0.0455811
hovercraft	0.0454825
"spy satellite"	0.0454811
"weather satellite"	0.0453691
"Marshall Plan"	0.0451939
"electrical device"	0.0451461
Systems	0.0451425
sonar	0.0451255
carnivore	0.0449568
"tax treatment"	0.0449215
aptitude	0.0448177
calculator	0.0445359
"power unit"	0.0444303
agro-techniques	0.0442846
"Palm Pilot"	0.044259
transmitter	0.0442319
supercomputer	0.0442318
"telephone network"	0.0441298
methodology	0.0440125
motherboards	0.0439931
PDA	0.0437787
"suspension system"	0.043682
mapping	0.0436638
mammogram	0.0435602
"game plan"	0.0434248
scanner	0.043397
"early warning system"	0.0433284
synthesizer	0.0431911
optic	0.0429185
"hand-held computer"	0.042908
"instruction manual"	0.0427574
"legal principle"	0.0424751
"tax advantage"	0.0423842
acoustic	0.0422034
"fire wall"	0.0420131
agro-technology	0.0418073
typist	0.0417782
"phone system"	0.0417496
"computing system"	0.0417354
handset	0.0417204
schematic	0.0416946
"Microsoft Windows"	0.0416918
"dance step"	0.0416724
"piece of music"	0.0416724
"tax shelter"	0.041561
"life form"	0.0414613
configuration	0.0414009
converter	0.0413287
laser	0.0412684
ADSL	0.0412194
"Palm III"	0.0411868
formulation	0.0411843
"Windows NT"	0.041157
"Antiquities Act"	0.0409276
gadgetry	0.0409253
"global positioning system"	0.0408782
telephony	0.0408219
IE	0.0407659
"battle plan"	0.0404717
decoding	0.0403828
"golf game"	0.0402379
"electronic database"	0.0401931
regimen	0.0401632
"electoral system"	0.0400713
thermometer	0.0400136
))
("Alhaji Kromah" (desc 1611.69) (sims
"Charles Taylor"	0.176784
"Roosevelt Johnson"	0.166724
"Ali Mahdi Mohamed"	0.0650875
warlord	0.0647428
"Foday Sankoh"	0.0628989
"Howard Baker"	0.0600417
happiest	0.0557254
Turabi	0.0556708
R-N.C.	0.0529446
"Abdul Salam Majali"	0.0518881
Venables	0.0516076
"People's Democratic Party"	0.0512967
"Johnny Paul Koroma"	0.0508392
Yazdi	0.0503049
"Central Bank of Nigeria"	0.0497691
Lazarenko	0.0486555
"Shamil Basayev"	0.0476708
"Rashid Dostum"	0.0475516
"Koichi Kato"	0.047275
"Ali Mahdi"	0.046415
"Princess Anne"	0.0464043
"Bob Arum"	0.0460363
"Noboru Takeshita"	0.045627
"Mike Espy"	0.04496
CEC	0.0449514
"Nuon Chea"	0.0449167
McGuinness	0.0443615
Villar	0.043464
al-Hariri	0.043366
"Krishna Prasad Bhattarai"	0.0432728
JAL	0.0429627
"Ta Mok"	0.0422353
"Billy Tauzin"	0.0420517
"State Law and Order Restoration Council"	0.0415749
Khattab	0.0414568
"Sarah Ferguson"	0.0411067
"Robert Livingston"	0.0407397
Aoki	0.0407134
Lari	0.0404887
prefect	0.0404726
"Sam Rainsy"	0.0403099
"Abdul Karim Kabariti"	0.0401585
"Tansu Ciller"	0.0400301
"Fayez Tarawneh"	0.0400248
))
(Ali (desc 18797.6) (sims
"Muhammad Ali"	0.131847
Botha	0.0993464
Bowe	0.0938242
Tyson	0.0887863
Mohamed	0.0883054
Holyfield	0.0838005
Ibrahim	0.0801772
Ahmed	0.0801212
Rashid	0.0792168
Quartey	0.0791326
"Mike Tyson"	0.0788968
"De La Hoya"	0.0766749
Kim	0.0764955
"Evander Holyfield"	0.0759685
Hussein	0.0745998
foreman	0.0742441
Frazier	0.0720663
Ayala	0.0719737
Abdullah	0.0717583
"George Foreman"	0.0715034
Mosley	0.0714673
Hamad	0.0710627
Lewis	0.0706715
Mohammed	0.0705118
"Larry Holmes"	0.0700827
"Joe Louis"	0.0697012
Aaron	0.0691631
Hassan	0.0690064
"Oscar De La Hoya"	0.0690027
"Riddick Bowe"	0.0689861
Manuel	0.0686856
"Lennox Lewis"	0.0682967
William	0.0681053
Andrew	0.0680733
Joshua	0.0679545
Fagan	0.0677375
"Azizah Ismail"	0.0677184
Naipaul	0.0669021
Leonard	0.0667705
Khalid	0.0667627
Chavez	0.066762
Elliott	0.0665197
"Joe Frazier"	0.0661821
Akinwande	0.0658153
Goldstein	0.0657962
Richard	0.0655395
Michael	0.0651497
Carter	0.0648011
Holmes	0.0646327
Alexander	0.0643548
Abraham	0.064172
Lopez	0.0640947
DiMaggio	0.0633627
douglas	0.0632702
Whitaker	0.0631872
Tapia	0.0631705
Trinidad	0.0628867
xu	0.0627017
Omar	0.0626292
Kenny	0.0625146
Jim	0.0624064
Lee	0.062365
Anton	0.0622181
Patterson	0.0620669
"Michael Moorer"	0.0620337
Johnson	0.0620106
Chung	0.0619584
Shinn	0.0619055
Nicolas	0.0616897
Dempsey	0.061659
"Julio Cesar Chavez"	0.0615107
Diana	0.0614579
Ryan	0.0613117
Reagan	0.0612559
Scott	0.0610423
Sorensen	0.0610384
Payne	0.0610241
khan	0.0606577
Jamie	0.0605164
Justin	0.0604401
Gatti	0.0602004
Christopher	0.0600845
Carr	0.0599599
hogan	0.0599535
Riley	0.0595213
Horne	0.0593995
Nelson	0.059259
Doyle	0.0592318
Thomas	0.0591331
Raymond	0.0591095
Woodard	0.0590095
Louis	0.0589924
Daley	0.0589895
Sarah	0.0588361
Jeb	0.0588321
Tyler	0.0587818
Vogel	0.0587237
Jones	0.0586278
Berenson	0.0585883
Savarese	0.0585877
Mcbride	0.0585728
Zachary	0.0585191
Marciano	0.0584648
Michel	0.0584441
Hoffman	0.0583907
Brandon	0.0583836
Edward	0.0582978
boxer	0.0582037
Lim	0.0581836
David	0.0579799
Danny	0.0579438
smith	0.0579427
Anthony	0.0579091
Henry	0.0578808
Schulz	0.0578295
Norris	0.057813
Brooks	0.0577696
Casey	0.0577342
Burke	0.0577295
Hagen	0.0576573
Crenshaw	0.0576321
Mohammad	0.0575574
Nicholas	0.0575544
Kennedy	0.0574561
Hearns	0.0573598
Maradona	0.0572256
Ismail	0.057208
Moore	0.0571497
Mandela	0.057149
Shriver	0.057128
Duran	0.0570554
Gretzky	0.0569888
Steele	0.0569631
Reid	0.0569588
Bashar	0.056883
Mitchell	0.0568785
Salinger	0.056739
Lindbergh	0.0567245
Rivera	0.0566923
Daniels	0.0566448
Arnold	0.0565545
Capriati	0.0565408
Nolan	0.0565075
Armstrong	0.0563571
Flores	0.0563549
Johnston	0.0563267
Hawkins	0.0562344
Powell	0.0561882
Williams	0.0561729
Jackie	0.0561589
Jeffrey	0.0561238
tom	0.056023
Stewart	0.0559298
Ruth	0.0559296
Philip	0.0559249
Golota	0.0559098
Watson	0.0559013
Duval	0.0558667
Tilberis	0.0558617
Serena	0.0557158
Assad	0.0556894
Ben	0.0555066
Vargas	0.0554853
Bennett	0.0554583
Monica	0.0554417
Eric	0.0553983
Kelly	0.0553399
Matthew	0.0553304
Kaufman	0.0552483
Shannon	0.0551926
Liu	0.0551715
ray	0.0551544
"Orlin Norris"	0.0551523
Weizman	0.0551281
Norman	0.0550327
Jill	0.0548852
Owen	0.0548301
Sibley	0.0548041
Taylor	0.0547367
"Tipper Gore"	0.0546856
Chang	0.0546038
Kathy	0.0545836
Karpov	0.054574
Edwards	0.0545319
Alderson	0.0545209
Ackerman	0.0545081
Jennifer	0.0544872
Hoffa	0.0544772
Harding	0.054418
Savon	0.054382
Ramirez	0.0543657
Hoffmann	0.0543136
Marc	0.0543031
Wallace	0.0542503
Cohen	0.0541554
Leigh	0.0541193
John	0.0540875
Laura	0.0539912
Daniel	0.0539863
Cole	0.0539191
))
("Ali Daei" (desc 1846.35) (sims
"Khodadad Azizi"	0.349452
"Hao Haidong"	0.194005
"Hristo Stoichkov"	0.193366
"Faustino Asprilla"	0.171759
"Nwankwo Kanu"	0.165585
"Predrag Mijatovic"	0.156969
"Davor Suker"	0.145296
"Tore Andre Flo"	0.144032
"Ante Razov"	0.141354
"Alen Boksic"	0.141219
"Adrian Ilie"	0.140952
"Sun Wen"	0.140264
"Roberto Baggio"	0.13785
"Fabrizio Ravanelli"	0.1376
"Stan Collymore"	0.134767
"Ulf Kirsten"	0.133303
"Ian Wright"	0.131714
"Ivan Zamorano"	0.13149
"Juergen Klinsmann"	0.13105
"Raul Gonzalez"	0.126778
"Harry Kewell"	0.126759
Edmundo	0.126218
"Brian Laudrup"	0.125856
"Dejan Stankovic"	0.125549
"Dejan Savicevic"	0.125233
"Alessandro Del Piero"	0.124318
"Eric Wynalda"	0.12421
"Stern John"	0.124131
"Carlos Hermosillo"	0.123999
"Robert Prosinecki"	0.123195
"Eric Cantona"	0.117608
"Gabriel Batistuta"	0.116799
"Roy Lassiter"	0.116206
"Lothar Matthaeus"	0.11528
"Gheorghe Hagi"	0.113739
"Christian Vieri"	0.112393
"Gianfranco Zola"	0.112302
"Fan Zhiyi"	0.111328
"Robbie Fowler"	0.110663
"Cindy Parlow"	0.11014
"Hu Weidong"	0.110061
"Tamika Catchings"	0.109675
"Raul Diaz Arce"	0.108071
"David Trezeguet"	0.107675
"Dennis Bergkamp"	0.107056
Bebeto	0.106677
"Luis Hernandez"	0.106338
"Paolo Di Canio"	0.10575
"Alan Shearer"	0.105598
"Marcelo Salas"	0.105163
"Ariel Ortega"	0.104614
Romario	0.104001
"Hidetoshi Nakata"	0.103899
"Patrick Kluivert"	0.10103
"Claudio Lopez"	0.0994872
"Greg Adams"	0.0985943
"Wang Tao"	0.0985401
"Filippo Inzaghi"	0.0981383
"Gianluca Vialli"	0.0980183
"Thierry Henry"	0.0975968
"Ryan Giggs"	0.0974576
Juninho	0.0973549
"Oliver Bierhoff"	0.096365
"Jumaine Jones"	0.0959177
"Brian McBride"	0.0947674
"Ron Artest"	0.0946432
"Kenyon Martin"	0.093303
"Andy Cole"	0.0929902
"Youri Djorkaeff"	0.092756
"Ole Gunnar Solskjaer"	0.0927329
"Pierluigi Casiraghi"	0.0925229
"Michael Owen"	0.0916379
"Mia Hamm"	0.0914904
"Doug Weight"	0.0902888
"Nicolas Anelka"	0.0898672
libero	0.0898317
"Chris Porter"	0.0891885
"Lamond Murray"	0.0886163
"Hernan Crespo"	0.0885927
Zico	0.0876374
"Thomas Haessler"	0.0873953
"George Weah"	0.0870868
"Phillip Cocu"	0.0867286
Duisburg	0.0866607
"Corliss Williamson"	0.0865133
"Tiffeny Milbrett"	0.0863141
"Enrico Chiesa"	0.0860693
"Pat Verbeek"	0.0860427
"Cobi Jones"	0.0850821
"Andreas Moeller"	0.084476
"Dwight Yorke"	0.083707
"Emmanuel Petit"	0.0836014
Sissi	0.0825783
"Joe Juneau"	0.0813839
Alfonso	0.0812831
"Christophe Dugarry"	0.080746
Djorkaeff	0.0804363
"Dominique Wilkins"	0.0804279
"Kirk Muller"	0.0802116
"Mike Miller"	0.080186
"Sheryl Swoopes"	0.0799471
"Jason Kapono"	0.0799319
"Sergei Fedorov"	0.0797383
"Michael Laudrup"	0.0796756
Bierhoff	0.0795209
Batistuta	0.0794562
Welton	0.0789135
"Juwan Howard"	0.077578
"Shawn Marion"	0.0772042
"Yao Ming"	0.0764501
"Luis Figo"	0.0764443
"Mario Stanic"	0.0764162
"Joe-Max Moore"	0.0764037
Suker	0.0761776
sweeper	0.0761732
"Michael Finley"	0.07599
"Shareef Abdur-Rahim"	0.0756942
"Kenny Thomas"	0.0753818
"Gabe Muoneke"	0.0753692
"Carlos Valderrama"	0.0753148
"Blake Sloan"	0.0753106
"Miroslav Satan"	0.0752121
Rivaldo	0.0751081
"ZIGMUND PALFFY"	0.0749994
"Alexei Kovalev"	0.0749343
"Robert Pires"	0.0743878
"DeLisha Milton"	0.0741671
"Raef LaFrentz"	0.0740311
Raul	0.0734309
"Teddy Sheringham"	0.0730978
"Ziggy Palffy"	0.0730394
"Zinedine Zidane"	0.0729024
"Donyell Marshall"	0.0727788
"Michelle Akers"	0.0726252
"Grant Marshall"	0.0724942
"Cedric Ceballos"	0.0723314
"Grant Long"	0.0718539
"Keith Tkachuk"	0.0715836
"Alexi Lalas"	0.071569
"Shane Doan"	0.0714916
"Alexei Yashin"	0.0713905
"Bryon Russell"	0.0703408
Salas	0.0701418
"Mike Keane"	0.0696485
"Geoff Sanderson"	0.0695221
Vieri	0.0694112
"Morris Peterson"	0.0691707
"Dave Reid"	0.068981
"Clint Mathis"	0.0684541
"Shane Battier"	0.0684288
"Robert Jarni"	0.0680629
"Bill Guerin"	0.06806
"Eric Lindros"	0.0680462
"Diego Maradona"	0.0678235
"Theo Fleury"	0.0677576
"Guy Carbonneau"	0.0676445
"Richard Jefferson"	0.067283
"Clifford Robinson"	0.0670743
"Wally Szczerbiak"	0.0669778
"Danny Manning"	0.0668495
"Marcelo Balboa"	0.0668063
"Tony Amonte"	0.0665849
"Brian Skrudland"	0.0665648
Kluivert	0.0665129
"Teemu Selanne"	0.0664807
"Brian Skinner"	0.0664357
Anelka	0.0661773
"Sela Ward"	0.0660381
"Chris Mullin"	0.0658563
"Peter Forsberg"	0.0657751
"Marcus Fizer"	0.0654913
"Kristine Lilly"	0.0652548
"John LeClair"	0.0652325
"Marcel Desailly"	0.065214
"Aaron Gavey"	0.0651975
"Chamique Holdsclaw"	0.0651885
"Dave Andreychuk"	0.0649977
"Ruud Gullit"	0.0648418
"Jaromir Jagr"	0.0646111
Piero	0.0644545
"Chris Gatling"	0.0644405
Ronaldo	0.0644154
"Jeff Friesen"	0.0640923
"Chris Drury"	0.0630228
"Luc Robitaille"	0.0630186
"Lee Nailon"	0.0625816
"Michael Wright"	0.0623078
"Wang Zhizhi"	0.0622785
"Steve Yzerman"	0.0621148
Hwang	0.0618138
"Rodney Rogers"	0.0617627
"Jarvis Turner"	0.0617216
"Othella Harrington"	0.0617081
"Rebecca Lobo"	0.0615
"Mike Sullivan"	0.0614277
"Todd Harvey"	0.0614255
"David Beckham"	0.0612521
"Chris Mills"	0.0610365
"Cliff Ronning"	0.0609793
Baggio	0.0608963
))
("Ali Mahdi" (desc 4482.21) (sims
"Ali Mahdi Mohamed"	0.40009
"Osman Atto"	0.351663
Atto	0.301499
"Hussein Aidid"	0.247683
Aidid	0.237198
Aideed	0.209336
"Osman Ali Atto"	0.190426
"Hussein Mohamed Aidid"	0.18709
Mahdi	0.174826
"Osman Hassan Ali Atto"	0.120191
"Rashid Dostum"	0.117509
Dostum	0.115293
"Roosevelt Johnson"	0.10895
"Shamil Basayev"	0.108731
"Charles Taylor"	0.108335
RRA	0.105634
Rabbani	0.104582
"Gulbuddin Hekmatyar"	0.101611
"Rahanwein Resistance Army"	0.100697
Masood	0.100212
warlord	0.0902769
Wamba	0.0884219
Ranariddh	0.0873769
Izetbegovic	0.0845402
"Amien Rais"	0.0841212
Khamenei	0.0827593
Guei	0.082294
Bouteflika	0.0819258
Basayev	0.0816908
"Aung San Suu Kyi"	0.079423
"Vladimir Zhirinovsky"	0.0790736
Khatami	0.0789875
Lissouba	0.0780331
Garang	0.0778207
"Hun Sen"	0.0768509
Koroma	0.0768196
Hekmatyar	0.0761948
"Yossi Sarid"	0.0761851
"Yasser Arafat"	0.0760315
Hasina	0.0748618
"Megawati Soekarnoputri"	0.0740582
Zuma	0.0737861
"Ibrahim Rugova"	0.0730331
"Chief Executive Tung Chee-hwa"	0.0729984
"Silvio Berlusconi"	0.0726493
Nateq-Nouri	0.0723732
Kuchma	0.0722109
clansmen	0.0721056
Speight	0.0716028
Buyoya	0.0714962
Rais	0.0711506
"Helen Clark"	0.0711363
"Gennady Zyuganov"	0.0710131
Berisha	0.0707607
Jayalalitha	0.0706321
Gantamirov	0.0702852
Ghalib	0.0696422
Megawati	0.0694704
"Speaker Ali Akbar Nateq-Nouri"	0.0692753
Berri	0.0691934
Chand	0.0690082
Kabbah	0.0689078
"Ayatollah Ruhollah Khomeini"	0.0687813
Koirala	0.0687289
"Vuk Draskovic"	0.0683483
Rafsanjani	0.0679864
Yavlinsky	0.067539
"Ariel Sharon"	0.0675203
Zhirinovsky	0.0674523
Nazarbayev	0.0671288
"Radovan Karadzic"	0.0670407
"Grigory Yavlinsky"	0.0669054
Husseini	0.0668325
Chuan	0.0667518
"Laurent Kabila"	0.066703
Mohamed	0.0663946
Kagame	0.0659964
Dudayev	0.0659171
"Atal Bihari Vajpayee"	0.0658562
"Richard Blumenthal"	0.0656428
Yazdi	0.065512
"Khaleda Zia"	0.0651685
"Foday Sankoh"	0.0651109
Misuari	0.0650657
Meles	0.0649199
Mandela	0.0648847
Wiranto	0.0646233
Kaunda	0.0642172
PUK	0.0642022
Choate	0.0639011
Kai-shek	0.0638091
Megret	0.0637884
Mkapa	0.0637369
Djindjic	0.0635839
"Tansu Ciller"	0.0634728
Hezb-i-Islami	0.0634317
"David Trimble"	0.0634314
"Alexander Shokhin"	0.0628284
"Turkish Foreign Ministry"	0.062814
Kabila	0.0627208
Dae-jung	0.0626337
Chavalit	0.0626322
Chiluba	0.062595
"Lokendra Bahadur Chand"	0.0625707
"Mesut Yilmaz"	0.0623881
"Atal Behari Vajpayee"	0.062038
Museveni	0.0617485
"Chuan Leekpai"	0.0617093
Bizimungu	0.0612524
Abdel-Meguid	0.0612495
Mugabe	0.0612275
Moi	0.0611989
Westendorp	0.0609706
Denktash	0.0609142
Trimble	0.060897
Nasrallah	0.0608478
Turabi	0.0605687
"Sam Rainsy"	0.0603698
Lebed	0.0603372
Maslyukov	0.0602135
Deuba	0.0601848
"Kim Yong Nam"	0.0599092
Kasoulides	0.0598283
Ruehe	0.0595235
Hagelin	0.0594501
"Hashim Thaci"	0.0592074
"Suu Kyi"	0.0591801
Muluzi	0.0591192
Kumaratunga	0.0590937
Skuratov	0.0589929
Ecevit	0.0587703
"Pervez Musharraf"	0.0587501
Poplasen	0.0587491
Erbakan	0.0586095
"Fatos Nano"	0.0585516
el-Bashir	0.0585054
al-Bashir	0.0584646
Alatas	0.0582546
Buthelezi	0.0582354
Sankoh	0.0581008
Berlusconi	0.0579423
"Congolese Rally"	0.0578661
"William Hague"	0.057702
"Baath Party"	0.0576773
"Ayatollah Ali Khamenei"	0.0575342
al-Sahhaf	0.0575166
Yilmaz	0.057446
Plavsic	0.057396
"David Duke"	0.0573476
Hariri	0.0572758
Clerides	0.0571751
"Martin McGuinness"	0.0571496
PLO	0.0568381
Bulatovic	0.0567937
"Natan Sharansky"	0.0565247
"Jenny Shipley"	0.0563792
Karimov	0.0562567
Camdessus	0.0562319
McConnell	0.0561844
"Sonia Gandhi"	0.0561543
Barzani	0.0560918
Weldon	0.0559108
"Bertie Ahern"	0.0559074
Ashrawi	0.0558311
"Abdullah Ocalan"	0.0558142
"Le Pen"	0.0558005
Koo	0.0557217
"Tariq Aziz"	0.0554437
al-Sahaf	0.0554177
"Kim Jong-pil"	0.0553672
"Inkatha Freedom Party"	0.055362
Maskhadov	0.0552174
"Wlodzimierz Cimoszewicz"	0.0551994
"Sher Bahadur Deuba"	0.0551932
"George Speight"	0.0551454
"John G. Rowland"	0.0550932
el-Ganzouri	0.0549817
"Bulent Ecevit"	0.0548671
Strauss-Kahn	0.0547436
Phieu	0.0546213
"Dos Santos"	0.0546142
Shevardnadze	0.0545989
Wahid	0.0545708
"Palestine Liberation Organization"	0.0544475
Lockyer	0.054402
"Indonesian Democratic Party"	0.0543918
"William Morris"	0.0543469
Supachai	0.054323
Djukanovic	0.0542588
Aventajado	0.0541229
Nujoma	0.0541187
Thaci	0.0541053
Kromah	0.0540984
Chevenement	0.0540412
Draskovic	0.05399
"Russian Foreign Ministry"	0.0539655
"Meles Zenawi"	0.0539327
Tarrin	0.0539035
Nkomo	0.05387
"Megawati Sukarnoputri"	0.053845
))
("Ali Mahdi Mohamed" (desc 6176.22) (sims
"Ali Mahdi"	0.40009
"Hussein Mohamed Aidid"	0.340139
"Osman Ali Atto"	0.290883
"Hussein Aidid"	0.280406
"Osman Hassan Ali Atto"	0.257102
"Osman Atto"	0.256971
"Roosevelt Johnson"	0.190909
"Rahanwein Resistance Army"	0.169407
"Rashid Dostum"	0.161913
Aidid	0.161069
"Charles Taylor"	0.154705
"Gulbuddin Hekmatyar"	0.151543
"Gennady Zyuganov"	0.149887
Atto	0.148457
"Shamil Basayev"	0.1374
Mahdi	0.135439
"Vuk Draskovic"	0.120684
"Amien Rais"	0.119012
RRA	0.115722
warlord	0.11461
Aideed	0.113844
"Ibrahim Rugova"	0.113002
"Foday Sankoh"	0.111885
Wamba	0.111166
Chand	0.108636
"Joseph Bruno"	0.107864
"Radovan Karadzic"	0.107274
"Xanana Gusmao"	0.107177
"Zoran Djindjic"	0.105294
"Vojislav Kostunica"	0.104396
"Hashim Thaci"	0.101478
"Yossi Sarid"	0.101063
"Aung San Suu Kyi"	0.100354
"Megawati Soekarnoputri"	0.0989756
"Megawati Sukarnoputri"	0.0974498
"William Hague"	0.0972196
subclans	0.0968977
"Johnny Paul Koroma"	0.0965117
"Ariel Sharon"	0.0957078
"Hun Sen"	0.095309
"Aryeh Deri"	0.094792
"Ayatollah Ali Khamenei"	0.0927839
Masood	0.0925196
Dostum	0.092433
"Alejandro Toledo"	0.0919228
"Khaleda Zia"	0.0916153
"Helen Clark"	0.0912775
"David Trimble"	0.0886537
Hezb-i-Islami	0.0881249
"Silvio Berlusconi"	0.0878314
"Gerry Adams"	0.0878247
"Moammar Gadhafi"	0.086857
"David Duke"	0.0866338
"Sonia Gandhi"	0.0863158
"Grigory Yavlinsky"	0.0861025
"Abdul Malik"	0.0853076
faction	0.0852979
militiamen	0.0852567
Marehan	0.0841965
"Benazir Bhutto"	0.0833297
"Chavalit Yongchaiyudh"	0.0833142
"George Speight"	0.0827918
"Vladimir Zhirinovsky"	0.0824131
"Pierre Buyoya"	0.0821554
"Begum Khaleda Zia"	0.0820822
"Wolfgang Schaeuble"	0.0820278
"Fatos Nano"	0.0820043
"Ayatollah Ruhollah Khomeini"	0.0818469
"Laurent Kabila"	0.0816118
"Pervez Musharraf"	0.0816027
"Aslan Maskhadov"	0.0812919
"Richard Gephardt"	0.0807578
"Jonas Savimbi"	0.0800518
"Sam Rainsy"	0.0798691
"Dick Gephardt"	0.0798659
"Lokendra Bahadur Chand"	0.0796242
Khamenei	0.0791201
"Sali Berisha"	0.0786007
"Kim Il Sung"	0.0776954
"Chief Executive Tung Chee-hwa"	0.0775386
"Tom Daschle"	0.0774435
"Abdurrahman Wahid"	0.0770808
"Sher Bahadur Deuba"	0.0768955
"Dick Armey"	0.0766892
Rais	0.07667
"H.D Deve Gowda"	0.0760152
"Ieng Sary"	0.0754173
"Jenny Shipley"	0.0751197
"Atal Behari Vajpayee"	0.0749065
"John Hume"	0.0746582
"Mikulas Dzurinda"	0.0741923
"Kim Yong Nam"	0.0741541
"Necmettin Erbakan"	0.0741306
"Tansu Ciller"	0.0741062
Zyuganov	0.0739129
"Abdullah Ocalan"	0.0738933
"Joerg Haider"	0.0736687
Ranariddh	0.0735565
"Norodom Ranariddh"	0.0735546
"Bruno Megret"	0.0735518
"Bizima Karaha"	0.0735228
"Shimon Peres"	0.073391
Garang	0.0721732
Dae-jung	0.0719789
"Martin McGuinness"	0.0719129
clansmen	0.0713493
"Yasser Arafat"	0.0711836
"Dell Computer Corp."	0.0711087
Khatami	0.0710418
"Mesut Yilmaz"	0.0708661
"Inkatha Freedom Party"	0.0697174
Denktash	0.069471
"Martin Lee"	0.0693801
"Milos Zeman"	0.069058
PUK	0.0684374
D-Mo.	0.0682757
"Howard Baker"	0.0682507
"Omar Torrijos"	0.0682301
"Advanced Micro Devices"	0.0682143
"John Hagelin"	0.0680866
"Chuan Leekpai"	0.0679678
"Nur Misuari"	0.067808
"Mikhail Gorbachev"	0.0677808
Awami	0.0677491
Bouteflika	0.0673207
"Vojislav Seselj"	0.0672291
"Kim Jong Il"	0.0663862
"Natan Sharansky"	0.0653966
"Alhaji Kromah"	0.0650875
clan	0.0650409
"Alija Izetbegovic"	0.0648574
"Don Nickles"	0.0647722
Erbakan	0.0646983
"George Mitchell"	0.0640355
"Deve Gowda"	0.0639104
"David Koresh"	0.0635886
"King Norodom Sihanouk"	0.0634496
"Manuel Noriega"	0.0634196
"Alexander Shokhin"	0.0633787
"Netscape Communications"	0.0630699
"John Howard"	0.0623084
Hun	0.0622726
"Hugo Chavez"	0.0622416
Kaunda	0.0621906
Ghalib	0.0620408
Rugova	0.0619755
"Kurdistan Democratic Party"	0.0619702
"Tomiichi Murayama"	0.0617937
"Seamus Mallon"	0.0615958
"Atal Bihari Vajpayee"	0.0615936
"Netscape Communications Corp."	0.0614206
"Sheikh Hasina"	0.0614183
Mogadishu	0.0609152
"Trent Lott"	0.0608486
"John Major"	0.0607833
"Ta Mok"	0.0605302
"Ian Paisley"	0.0604623
Moi	0.0602022
"Advanced Micro Devices Inc."	0.0601195
Kai-shek	0.0599513
"Lionel Jospin"	0.0597769
"Benjamin Netanyahu"	0.0596947
"Hu Jintao"	0.0596628
"Bashar Assad"	0.059563
Mobutu	0.0592995
"Pervaiz Musharraf"	0.0591079
"Momir Bulatovic"	0.0590807
"Gary Bauer"	0.0590249
Trimble	0.0589448
"MIka Hakkinen"	0.058882
"Patriotic Union of Kurdistan"	0.0587397
"Louis Farrakhan"	0.0587051
"Yitzhak Mordechai"	0.0585865
Kabila	0.0583649
"Huang Ju"	0.0583532
"Bulent Ecevit"	0.0582508
"Bangladesh Nationalist Party"	0.0581538
Pepsico	0.0580794
"Congress Party"	0.0577705
"Sani Abacha"	0.0576575
"Joschka Fischer"	0.0573681
Kismaio	0.0572628
"Adem Demaci"	0.0571394
Kumaratunga	0.0570422
"John Prescott"	0.0569576
"Slobodan Milosevic"	0.0569415
"John Taylor"	0.0568279
"Sun Microsystems Inc."	0.0564179
Savimbi	0.0564067
"Scott Harshbarger"	0.0563437
"Inder Kumar Gujral"	0.0561991
"Khin Nyunt"	0.0559912
D-S.D.	0.0558616
"Franjo Tudjman"	0.0558353
"Sudan People's Liberation Army"	0.0557848
"Wolfgang Schuessel"	0.0557582
Izetbegovic	0.0555249
"Mao Zedong"	0.0553761
"House Majority Whip Tom DeLay"	0.0553542
"Jean-Marie Le Pen"	0.0552342
))
(alias (desc 7068.79) (sims
"assumed name"	0.12579
"false name"	0.0984734
pseudonym	0.0762188
password	0.0618328
"last name"	0.0595937
"bulletproof vest"	0.0594088
"maiden name"	0.0590278
personae	0.0585233
identifier	0.0577611
"application program"	0.0559776
"stage name"	0.0549929
moniker	0.054499
"Social Security number"	0.0544267
All-Americans	0.0543537
"scoring system"	0.0541858
"first name"	0.0537344
"computer language"	0.0534853
"three pitchers"	0.0528709
webcams	0.0526984
"airplane ticket"	0.0517326
PIERCINGS	0.0513558
"street address"	0.0510979
URL	0.0509702
adjective	0.0508587
major-leaguers	0.0501687
"order form"	0.0498907
"software package"	0.0493305
"No. @s"	0.0492072
bookmark	0.0490666
mushers	0.0490272
B-@s	0.0484991
"media property"	0.0484116
specialities	0.0482603
acronym	0.0475738
"place of birth"	0.0474887
"business line"	0.0467146
"telephone number"	0.0466496
"programming language"	0.045945
keyword	0.0454993
aftershock	0.0453007
"supporting players"	0.0451824
firsts	0.0449794
"break of serve"	0.0448441
"mailing address"	0.0446386
"historical document"	0.0445459
"electronic device"	0.0444496
"piece of music"	0.0443643
sedative	0.044363
"computer application"	0.0440519
"phone number"	0.0434114
"camera angle"	0.0432604
suffix	0.0432377
informant	0.0430982
inhaler	0.0430711
iteration	0.0429404
superlative	0.0428982
"safety feature"	0.0426253
salutation	0.0426159
resellers	0.0423294
byline	0.0423183
"Microsoft Word"	0.0422071
cryptography	0.0421846
"city block"	0.0421661
"work unit"	0.0421417
middlemen	0.0416399
starts.	0.0416322
URLs	0.0416032
"piece of furniture"	0.0415176
"major-league team"	0.0414401
subspecies	0.0412661
"day of rest"	0.0412373
mobster	0.041081
ILOVEYOU	0.0409954
"hard drug"	0.0407025
toolbars	0.0404387
eateries	0.0402891
"driver's license"	0.0402473
misstep	0.0402035
"teaching method"	0.0401457
typeface	0.0400814
))
(alibi (desc 5976.02) (sims
excuse	0.0854022
justification	0.0732741
pretext	0.068412
oil-for-food	0.0605199
"fall guy"	0.0599962
remorse	0.0544408
"frame of reference"	0.0538542
scapegoat	0.0529852
rationalization	0.0517431
inkling	0.0501627
"object lesson"	0.0500345
"legal representation"	0.0497814
"base of operations"	0.0494855
"contingency plan"	0.0491173
roadmap	0.0486581
"blank check"	0.0484825
"breathing room"	0.0484431
rationale	0.0482554
"credit history"	0.0480688
"Truth Commission"	0.0479708
motivation	0.0479572
documentation	0.0478412
"direct evidence"	0.0478247
"support system"	0.0476616
guidepost	0.0473257
"elbow room"	0.0471288
"breathing space"	0.0470647
adjective	0.0462169
co-defendant	0.0457167
"game plan"	0.0455829
"reference point"	0.0454083
hypothesis	0.045268
foothold	0.0451942
oomph	0.0450154
corroboration	0.0448644
"won-lost record"	0.0446003
absolutes	0.0445002
corrective	0.043457
"word of advice"	0.0432518
"fire wall"	0.0431854
"tax benefit"	0.0422762
Mullins	0.0420473
ballast	0.0419018
"statute of limitations"	0.0415122
checklist	0.0413816
"teaching method"	0.0413733
"telephone number"	0.0413504
"soft spot"	0.0412538
"eye opener"	0.0412416
"point system"	0.0412242
IOU	0.0408925
"point of reference"	0.0407975
epiphany	0.0407168
inference	0.0406392
accoutrement	0.0405101
Tonic	0.0404003
complainant	0.0402412
rebuttal	0.0402354
facsimile	0.0401573
))
(Alice (desc 14596.4) (sims
Eileen	0.0997984
Suzanne	0.098956
Josephine	0.0947193
Carol	0.0925795
Kathy	0.092532
Annie	0.0910857
Michelle	0.0907972
Kristin	0.0907944
Linda	0.0889186
Kathleen	0.0879424
Stephanie	0.0877158
Brenda	0.0869414
Lynne	0.0868267
Joan	0.0864859
Patricia	0.0862431
Diane	0.0860192
Juanita	0.085986
Rebecca	0.0843348
Cindy	0.0838822
Pam	0.0838817
Karen	0.0831667
Dorothy	0.0831445
Edith	0.082996
Lois	0.0827605
JoAnne	0.0827062
Nicole	0.0826707
Christine	0.0816772
Polly	0.081506
Elaine	0.0814664
Caroline	0.0813871
Lisa	0.0813773
Betty	0.0810783
Sylvia	0.0809226
Maureen	0.0809182
Susan	0.0803298
ANN	0.0799724
Emily	0.079948
Evelyn	0.0798678
Beth	0.0797597
Janet	0.0791176
Sonia	0.0791143
Mary	0.0789188
Beverly	0.0788123
Debbie	0.0782331
alicia	0.0782024
Marie	0.0781997
Cathy	0.0781536
Jane	0.0780782
Jill	0.0774953
Margaret	0.0773651
Lucy	0.0772536
Laura	0.0772245
gloria	0.0771467
Olga	0.0769639
"Azizah Ismail"	0.0769282
Tracey	0.0768746
Sarah	0.0768436
Deborah	0.0765768
Carolyn	0.0765163
Helen	0.0764047
Frances	0.0762113
anna	0.0761647
Lori	0.0759695
Nancy	0.0759331
Robin	0.0750552
Monique	0.0750524
Terri	0.0749247
Angela	0.0742679
Valerie	0.0739953
Doris	0.0737456
Jacqueline	0.0731446
Julia	0.0729439
Melanie	0.0729141
Debra	0.0728631
Julie	0.0725219
Melinda	0.07241
Phyllis	0.0719868
Barbara	0.0717826
Lydia	0.0717598
Donna	0.0714132
Cheryl	0.071233
Amy	0.071181
Marta	0.0705128
Erica	0.0696167
Irina	0.0695945
Shirley	0.0691003
Judy	0.069033
Marilyn	0.0689942
Nina	0.0689612
Leah	0.0689526
Maria	0.0687344
Kimberly	0.0686616
Jackie	0.0685866
Betsy	0.0680551
Miriam	0.067789
Pauline	0.0675342
Rachel	0.0673794
Heidi	0.0673695
Teresa	0.0673101
Audrey	0.0671934
Brooke	0.0671338
Anne	0.0670645
Vicki	0.0669605
Nora	0.0668636
Camille	0.0665908
Harry	0.0665506
Sally	0.0663437
Connie	0.0662594
Agnes	0.065827
Elizabeth	0.0658206
Lynn	0.0658166
Peggy	0.0657502
Marlene	0.0657357
Jennifer	0.0657057
Theresa	0.0656235
Martha	0.0654394
Esther	0.0653927
Catherine	0.0652792
Denise	0.0652524
Kathryn	0.0650248
Michele	0.0650171
Ellen	0.0648993
Eleanor	0.0648531
Frankenstein	0.0648395
Liz	0.0647214
Bonnie	0.0646602
Katherine	0.0642736
Olivia	0.0641457
Louise	0.0639805
Ruth	0.0637994
Mona	0.0636588
Jenny	0.0635694
Claire	0.0634632
Andrea	0.0632706
Ashley	0.0631811
Irene	0.0631167
Alexandra	0.0629625
Marianne	0.0629457
Rita	0.0629121
Marian	0.0627472
Monica	0.0626318
tom	0.0622174
Lucia	0.0620518
Christina	0.0615375
becky	0.0612751
Tipper	0.0611731
Cherie	0.0610069
Mimi	0.0608265
Roberta	0.0605238
Millie	0.0604344
Shannon	0.0603927
Sheryl	0.0601618
colleen	0.0600808
Dracula	0.0600739
Clara	0.0600527
Meg	0.0599066
Kate	0.0595532
Pamela	0.05955
Sara	0.0592536
Erin	0.0590427
Spenser	0.05876
Thelma	0.0585962
Sandra	0.0585152
Natalie	0.058337
BOB	0.0582842
"Leigh Ann"	0.0576806
Gail	0.0575075
Meredith	0.0575039
Cinderella	0.0575027
Hadassah	0.057353
Joe	0.0573187
Marcia	0.0565291
"Harry Potter"	0.0564782
Laurie	0.05625
Emma	0.0562474
Chris	0.0562236
Renee	0.0561501
holly	0.0558438
Winnie	0.0558091
Wendy	0.0557853
Joyce	0.0555513
Tina	0.0554877
Jerry	0.0551974
Jamie	0.0551934
Kay	0.0551515
Janice	0.0549509
Toni	0.0549199
Anita	0.0546119
Karenna	0.0545815
Madeline	0.0545059
Ben	0.0544844
Judith	0.0542539
jack	0.0542262
Jesse	0.0540712
Jim	0.0540494
Carrie	0.0539993
hazel	0.0539949
Jeanne	0.053989
sandy	0.053635
Hillary	0.0532443
))
("Alice Cooper" (desc 1243.18) (sims
"Elvis Costello"	0.0875116
AC/DC	0.0859646
"Grateful Dead"	0.0727271
"Pink Floyd"	0.0712627
mariachi	0.0685346
Aerosmith	0.0670307
Korn	0.064588
pep	0.0588544
REM	0.0565144
oldies	0.0559006
"Dave Matthews"	0.0536223
uptempo	0.052814
"Brian Wilson"	0.0498719
"Rolling Stones"	0.0497382
"Don Imus"	0.0493777
"Neil Young"	0.0493695
"Black Sabbath"	0.0489838
Yoakam	0.0489221
"Spice Girls"	0.0486508
Byrds	0.0485545
"Van Halen"	0.0485368
Zydeco	0.0474148
"singing voice"	0.0467339
Motown	0.0465003
"Diana Ross"	0.0464808
"folk dance"	0.0457118
"Busta Rhymes"	0.0446007
Presley	0.0444124
"Dave Matthews Band"	0.0443037
Supremes	0.04406
"May Day"	0.0426662
ragtag	0.041795
GERE	0.0407614
Henning	0.040375
Phish	0.0402471
"Paul Simon"	0.0402256
))
("Alice Tully Hall" (desc 1763.58) (sims
"Avery Fisher Hall"	0.325529
"Carnegie Hall"	0.194764
"Joyce Theater"	0.154771
"New York State Theater"	0.149107
"Shrine Auditorium"	0.147956
"Walter Reade Theater"	0.137156
"Metropolitan Opera House"	0.120551
"Lincoln Center Festival"	0.118957
"Lincoln Memorial"	0.11859
"Continental Airlines Arena"	0.110989
"Radio City Music Hall"	0.110533
Tanglewood	0.109759
"Kennedy Center"	0.107161
"Wembley Stadium"	0.10467
"Dorothy Chandler Pavilion"	0.0994563
"town hall"	0.0979952
"Brooklyn Academy of Music"	0.0972408
"Symphony Hall"	0.0964889
"Metropolitan Opera"	0.0951661
Tabernacle	0.0948898
"American Dance Festival"	0.0945638
"Reunion Arena"	0.092928
"Lincoln Center"	0.0916976
"Film Forum"	0.0862568
"P.S @@@"	0.0858073
Omni	0.0852543
"New York Film Festival"	0.0851644
"Philips Arena"	0.0833036
"Memorial Stadium"	0.0809697
"New York City Opera"	0.0805105
"Market Square Arena"	0.0780702
"La Scala"	0.077976
"Radio City"	0.077251
"Conseco Fieldhouse"	0.0718381
"Pacific Bell Park"	0.0709778
"city center"	0.0697283
"Grand Ole Opry"	0.0687137
"Miami Arena"	0.0684515
"Cannes Film Festival"	0.0682108
"Texas Stadium"	0.0673398
"Turner Field"	0.0668497
"Covent Garden"	0.0662793
"concert hall"	0.0660849
"Waldorf-Astoria Hotel"	0.0660815
"RFK Stadium"	0.0656486
"Foxboro Stadium"	0.0640857
"Sydney Opera House"	0.0637875
"Bryant Park"	0.0631803
"Grand Central Terminal"	0.0631166
"Nassau Coliseum"	0.0619044
Foxboro	0.0617119
"Melbourne Cricket Ground"	0.0608573
Meadowlands	0.0607598
"Riverside Church"	0.060222
"Piedmont Hospital"	0.0594678
"Trans World Dome"	0.0593386
"Las Vegas Motor Speedway"	0.0590334
"Tiger Stadium"	0.0588198
"Oakland Coliseum"	0.0585682
"Tokyo Dome"	0.0563275
Joyce	0.0551307
"Jacobs Field"	0.0550381
"Manhattan Theater Club"	0.0549958
"City College"	0.0546956
"Compaq Center"	0.0546558
"Soldier Field"	0.0535146
"MCI Center"	0.0530302
"Stamford Bridge"	0.0518259
FleetCenter	0.0513298
"United Center"	0.0508406
Medinah	0.0506424
"Methodist Hospital"	0.0495489
"Diaoyutai State Guesthouse"	0.0491459
"Tropicana Field"	0.0491227
"blue note"	0.0490245
"Pro Player Stadium"	0.0489195
"Giants Stadium"	0.0489137
"Cannes International Film Festival"	0.0473935
"Busch Stadium"	0.0472983
"Dallas Burn"	0.0471717
"Edison Field"	0.0471619
"Sundance Film Festival"	0.0467646
"Washington Mystics"	0.0467348
Carnegie	0.0462777
"civic center"	0.046087
"Sanford Stadium"	0.0456766
"Georgia World Congress Center"	0.0454539
"Melbourne Park"	0.0453796
"Georgia Dome"	0.0453454
"Pauley Pavilion"	0.0453453
Pocono	0.0452017
KeyArena	0.0450619
"Delta Center"	0.0449929
"town meeting"	0.0448795
"Camden Yards"	0.0447953
"Continental Arena"	0.0446011
"Texas Motor Speedway"	0.0443979
Waldorf-Astoria	0.0441701
"International AIDS Conference"	0.0439488
"Blair House"	0.0437547
Eastbourne	0.0435837
"Plaza Hotel"	0.043303
Scalfaro	0.042818
"First Union Center"	0.0420506
"watering hole"	0.0419522
"Consumer Electronics Show"	0.041829
"LA COSTA"	0.0414737
"U.N. Headquarters"	0.0413253
Wrigley	0.0411598
"Pepsi Center"	0.0409484
"Victoria Park"	0.0403553
"Russian Defense Ministry"	0.0401147
Roxy	0.0400867
))
("Alice Walker" (desc 1469.86) (sims
"Langston Hughes"	0.176957
"Ralph Ellison"	0.145644
"Maya Angelou"	0.14305
"Gore Vidal"	0.134187
"Richard Wright"	0.130992
"Wendy Wasserstein"	0.107125
"Eudora Welty"	0.105663
"William Styron"	0.0953495
"Betty Friedan"	0.0900511
"Philip Roth"	0.0876236
"Toni Morrison"	0.0828537
"James Baldwin"	0.0814264
"Norman Mailer"	0.0807195
"John Updike"	0.0803095
"Robert Frost"	0.0789485
"Gloria Steinem"	0.0781968
"Tom Wolfe"	0.0716815
"George Will"	0.0711338
"Josephine Baker"	0.0680468
"Saul Bellow"	0.065446
"Mike Sirotka"	0.0624808
"David Halberstam"	0.0605063
"Alfre Woodard"	0.059237
"Elie Wiesel"	0.0559814
"Robert F. Kennedy Jr."	0.0538272
"Gabriel Garcia Marquez"	0.052664
"Raymond Chandler"	0.0508536
"Emily Dickinson"	0.0481412
"Virginia Woolf"	0.0464157
"Aaron Copland"	0.0449605
Grisham	0.0439714
"John Grisham"	0.0439267
"Arthur Miller"	0.0434314
"Anita Hill"	0.043167
"Susan Sontag"	0.0425968
Maritz	0.0423003
"Tom Stoppard"	0.0422345
Beauvoir	0.0420476
"Truman Capote"	0.0412119
"Tony Bennett"	0.0411587
"William Faulkner"	0.0410209
"Edgar Allan Poe"	0.0409692
"John Steinbeck"	0.0409135
"Ken Saro-Wiwa"	0.0407978
"Duke Ellington"	0.0407678
Brecht	0.0400645
))
(Alicea (desc 1459.9) (sims
Rolen	0.321373
Cirillo	0.269141
Fullmer	0.248945
"Eric Owens"	0.244961
Randa	0.239279
Burnitz	0.235633
Abreu	0.216929
"Damian Miller"	0.214794
"Mark Kotsay"	0.214423
Vidro	0.209616
"Luis Alicea"	0.20923
Bautista	0.201173
Spiers	0.199102
McLemore	0.198839
"Matt Lawton"	0.197769
Bordick	0.196654
Agbayani	0.194205
Biggio	0.194173
"Joe McEwing"	0.192638
Renteria	0.191524
Batista	0.191309
Segui	0.19041
"Kevin Jordan"	0.186614
Beltran	0.186502
"Mark Loretta"	0.186289
"Geoff Jenkins"	0.186027
DeShields	0.183356
"Enrique Wilson"	0.182528
Velarde	0.180172
Lankford	0.179846
"Russ Johnson"	0.179028
"Cristian Guzman"	0.178082
"Ron Coomer"	0.176076
"Scott Spiezio"	0.173495
Frye	0.17346
"Bengie Molina"	0.173201
"Orlando Palmeiro"	0.17208
"Vladimir Guerrero"	0.170889
Alfonzo	0.170775
"Jeffrey Hammonds"	0.169209
Palmeiro	0.169024
"Jeff Cirillo"	0.168957
"Bill Mueller"	0.168503
Nevin	0.168341
"Tim Bogar"	0.168171
Veras	0.168081
Womack	0.167361
"Scott Rolen"	0.167138
McGriff	0.166717
Olerud	0.166278
Lawton	0.165701
"J.T Snow"	0.1651
"Warren Morris"	0.164949
"Jeff Conine"	0.16493
Aurilia	0.164304
"Todd Pratt"	0.164217
"Matt Franco"	0.163231
"Stan Javier"	0.162853
"John Vander Wal"	0.162774
"Frank Catalanotto"	0.162438
"Scott Brosius"	0.161221
"Herbert Perry"	0.159375
Ordonez	0.158399
Baerga	0.158269
"Mike Sweeney"	0.158266
"Doug Glanville"	0.157894
"Dean Palmer"	0.157703
Walbeck	0.15733
"Ivan Rodriguez"	0.157113
Higginson	0.156739
"Preston Wilson"	0.156434
Tatis	0.156026
"Fred McGriff"	0.155454
"Brian Giles"	0.154988
Vizquel	0.154941
"Paul Bako"	0.154848
Ledee	0.154709
"Chris Widger"	0.15454
Fryman	0.154315
Valentin	0.15415
"Bobby Abreu"	0.153504
"Neifi Perez"	0.152822
"Bill Spiers"	0.152543
"Bobby Higginson"	0.152345
Guillen	0.152269
"Luis Castillo"	0.152047
"Dave Hansen"	0.151832
Elster	0.151221
"Jose Vidro"	0.151086
Cedeno	0.150745
"Mark Grace"	0.150236
Catalanotto	0.150121
"Brian McRae"	0.149523
Klesko	0.149386
Giambi	0.149105
Stinnett	0.149074
"Marquis Grissom"	0.148839
Lofton	0.148507
Brosius	0.148427
Furcal	0.148356
Surhoff	0.148274
"Brad Ausmus"	0.147656
Glanville	0.147468
"Dante Bichette"	0.147066
"Quilvio Veras"	0.146996
"Adrian Beltre"	0.146626
Javier	0.146428
"Carlos Beltran"	0.146252
"Miguel Cairo"	0.145973
"Darren Bragg"	0.145807
Grudzielanek	0.145643
"Eddie Taubensee"	0.145511
Lieberthal	0.145442
Offerman	0.14523
"David Bell"	0.145158
"Rich Aurilia"	0.145064
"Jose Valentin"	0.14461
"Adam Kennedy"	0.144594
Cordero	0.144591
Varitek	0.144547
"Kevin Young"	0.144322
Hollandsworth	0.14401
"Rondell White"	0.14382
"Pat Meares"	0.143771
"Tony Batista"	0.143576
"Melvin Mora"	0.143278
Meares	0.143268
"Juan Encarnacion"	0.143117
"Deivi Cruz"	0.14307
"Eric Chavez"	0.143015
Hidalgo	0.142873
Castilla	0.142277
"Ozzie Guillen"	0.142012
Glaus	0.140917
Zeile	0.140916
"Jason Varitek"	0.14087
"Johnny Damon"	0.14067
"Carlos Lee"	0.140659
Karros	0.140284
"Jose Offerman"	0.140261
Erstad	0.140095
"Marvin Benard"	0.140034
"Eric Karros"	0.139569
"Travis Fryman"	0.139264
Knoblauch	0.139021
Beltre	0.138679
Hatteberg	0.138526
"Ray Durham"	0.137396
"Mike Lieberthal"	0.13714
"Joe Randa"	0.137012
Greer	0.136473
"Jose Hernandez"	0.136449
Gant	0.135843
"Reggie Sanders"	0.135834
"Cliff Floyd"	0.135288
"Paul Konerko"	0.135216
"Darren Lewis"	0.135205
Saenz	0.135177
"Jay Payton"	0.135008
"Danny Bautista"	0.134931
"Todd Zeile"	0.134373
Alomar	0.133994
"Chuck Knoblauch"	0.133965
"Derrek Lee"	0.13378
"Chris Gomez"	0.133699
Bergeron	0.133672
"Brady Anderson"	0.133082
"Brian Hunter"	0.133082
"Terrence Long"	0.13305
"Keith Lockhart"	0.132516
"Einar Diaz"	0.132455
"Rusty Greer"	0.132255
"David Ortiz"	0.131979
Bragg	0.131935
Dunston	0.131757
"Alex Gonzalez"	0.131546
Merloni	0.131464
"Randy Velarde"	0.131373
"Ruben Rivera"	0.131271
JOYNER	0.13002
"Troy Glaus"	0.129436
Thome	0.129341
Caminiti	0.129286
"Wally Joyner"	0.128974
"Todd Helton"	0.12865
"Lenny Harris"	0.12816
"Darryl Hamilton"	0.12805
"Lee Stevens"	0.127702
"Mark McLemore"	0.1277
"Jay Bell"	0.127633
"Dan Wilson"	0.127533
"Rey Ordonez"	0.12739
"Tom Goodwin"	0.126971
"Kelly Stinnett"	0.126656
"F.P Santangelo"	0.12627
"Javy Lopez"	0.126079
"Pokey Reese"	0.126018
"Edgardo Alfonzo"	0.125665
Sexson	0.125136
"Jay Buhner"	0.125003
"Phil Nevin"	0.124977
"Lance Berkman"	0.124892
Brogna	0.124684
"Aaron Boone"	0.124214
Clayton	0.12402
"John Olerud"	0.123936
Konerko	0.123713
"Roger Cedeno"	0.123611
"Rey Sanchez"	0.123503
"Todd Hollandsworth"	0.123473
"Walt Weiss"	0.123393
"Carlos Baerga"	0.123315
"Henry Rodriguez"	0.123296
Boone	0.123131
Cora	0.122994
"Lance Johnson"	0.122892
"John Valentin"	0.122744
"Dave Martinez"	0.122527
Mora	0.122497
"Mike Lamb"	0.122141
Buhner	0.122125
Mabry	0.121977
"Darin Erstad"	0.121873
Hollins	0.121665
Easley	0.121612
"Reggie Jefferson"	0.121496
"Richard Hidalgo"	0.121393
"Chipper Jones"	0.121301
"Todd Walker"	0.121284
"Robin Ventura"	0.121108
"Matt Williams"	0.121073
"Bernie Williams"	0.121059
"Tim Salmon"	0.120697
"Derek Bell"	0.120646
Goodwin	0.120426
"Will Clark"	0.120424
"J.D Drew"	0.120237
Cabrera	0.120092
Bagwell	0.119857
Abdur-Rahim	0.119758
"Gary DiSarcina"	0.119541
"Tony Womack"	0.119333
"Damian Jackson"	0.118531
Ramirez	0.118502
"Butch Huskey"	0.118375
"Bret Boone"	0.118216
Gutierrez	0.118198
"Eric Young"	0.118184
"Craig Biggio"	0.118177
Ripken	0.118157
"Mike Cameron"	0.118012
"Ricky Gutierrez"	0.117981
Helton	0.117913
"Benny Agbayani"	0.117908
"Jason Kendall"	0.117897
Larkin	0.117441
Kapler	0.117112
"Fernando Vina"	0.116911
"Devon White"	0.116849
DiSarcina	0.116717
"Ricky Ledee"	0.116527
"Rafael Palmeiro"	0.116164
"Kevin Stocker"	0.116071
Alou	0.115934
"Luis Gonzalez"	0.115924
McCarty	0.115923
"Jorge Posada"	0.115418
"Harold Baines"	0.115368
Daubach	0.114973
"Luis Sojo"	0.114723
"Travis Lee"	0.114607
"Jim Thome"	0.114551
Gilkey	0.114238
Sojo	0.114109
"Frank Thomas"	0.114099
"Royce Clayton"	0.113878
Counsell	0.113494
"Gary Sheffield"	0.113455
"Ryan Klesko"	0.11343
"Trot Nixon"	0.11328
"Chili Davis"	0.113108
Grbac	0.112964
"Jason Giambi"	0.112952
"Gerald Williams"	0.112901
Mayne	0.112729
"Bruce Aven"	0.112374
"John Mabry"	0.112292
"Ken Caminiti"	0.112188
"Dmitri Young"	0.112095
"Chad Curtis"	0.112018
"Jeff Bagwell"	0.112014
"Carlos Delgado"	0.11199
"Tony Eusebio"	0.111278
Delgado	0.111136
Jeter	0.110759
"David Segui"	0.110712
"Greg Vaughn"	0.11049
"Carl Everett"	0.110488
"Tino Martinez"	0.110324
"Mike Benjamin"	0.110309
Rodriguez	0.110273
Garciaparra	0.110254
"Sandy Alomar"	0.109487
"Bernard Gilkey"	0.109353
Girardi	0.109328
Huskey	0.109314
"Kurt Abbott"	0.109306
"Edgar Martinez"	0.109204
"Richie Sexson"	0.109111
"Benji Gil"	0.108915
"Gabe Kapler"	0.108772
"Mickey Morandini"	0.108205
Gorter	0.108157
"Mike Bordick"	0.1077
"Brian Jordan"	0.107508
Leyritz	0.107422
Padilla	0.107187
"Jeff Kent"	0.107169
Tejada	0.10697
"Jose Vizcaino"	0.106719
"Luis Polonia"	0.106666
"Mike Stanley"	0.106562
"Mark Grudzielanek"	0.106435
"Damon Buford"	0.106352
Hundley	0.105967
Ortiz	0.105869
"Dave Hollins"	0.105646
"Jim Leyritz"	0.105595
"Jose Guillen"	0.105367
"Andruw Jones"	0.105216
"Kevin Elster"	0.105173
"Alex Rodriguez"	0.105062
"Todd Hundley"	0.10501
"Wilton Veras"	0.104578
"Pat Burrell"	0.104536
"Edgar Renteria"	0.104401
McRae	0.104373
Raines	0.10407
Castillo	0.103912
Burks	0.103866
"Alex Cora"	0.103635
"B.J Surhoff"	0.103602
"Wilton Guerrero"	0.10348
"Charlie Hayes"	0.103333
"Rico Brogna"	0.103152
"Moises Alou"	0.102624
"Mike Lowell"	0.102529
Winn	0.102507
"Derek Jeter"	0.102318
"Desi Relaford"	0.101978
Sheldon	0.10182
Baines	0.10179
"Manny Alexander"	0.101634
"Eddie Perez"	0.101616
Geiger	0.10151
Vizcaino	0.101502
"Omar Vizquel"	0.101306
Mondesi	0.10128
Guzman	0.100933
Nailon	0.100809
Timms	0.100795
"Karim Garcia"	0.100391
Daal	0.100256
"Bubba Trammell"	0.100204
))
(alicia (desc 1988.18) (sims
Eileen	0.194429
Irina	0.177677
Tracey	0.177597
Maureen	0.168924
Patricia	0.167257
Stephanie	0.166103
Jacqueline	0.16548
Olga	0.163248
Kristin	0.161748
Kathy	0.158867
Kathryn	0.158068
Christine	0.157381
Cheryl	0.15613
Marlene	0.149891
Monique	0.149572
Juanita	0.149306
Josephine	0.147014
Melinda	0.145501
Jennifer	0.144953
Pam	0.142668
Cherie	0.142267
Andrea	0.142133
Lori	0.140951
Phyllis	0.140503
Miriam	0.140053
Patti	0.139403
Brenda	0.139227
Susan	0.139156
Camille	0.138934
Lydia	0.137603
Suzanne	0.137528
Sonia	0.13662
Cathy	0.136435
Carolyn	0.136313
Evelyn	0.13592
Kimberly	0.135818
"Azizah Ismail"	0.134347
Marta	0.133975
Marian	0.13348
JoAnne	0.133003
Polly	0.132941
Alexandra	0.132552
Betsy	0.131262
Lucia	0.13086
Valerie	0.130572
Doris	0.130347
Linda	0.129828
Debra	0.129083
Diane	0.128629
Terri	0.128
Beverly	0.127463
Kathleen	0.127417
Theresa	0.125508
Leah	0.125059
Sheryl	0.12415
Connie	0.123936
Cindy	0.123402
Lisa	0.123351
Lyn	0.123294
Lynne	0.123035
Meg	0.122005
Paula	0.121744
Esther	0.121733
Barbara	0.121438
Nora	0.121401
Rachel	0.121313
Michele	0.121135
Elena	0.120097
Edith	0.119946
Jill	0.119892
Erica	0.119519
Janet	0.118906
Nancy	0.118667
Karen	0.11857
Hadassah	0.118509
Katie	0.117507
"Karenna Gore Schiff"	0.116655
Michelle	0.116016
Amy	0.116012
Audrey	0.115522
Karenna	0.114944
Frances	0.114931
Donna	0.114837
Debbie	0.113863
Margaret	0.113506
Janice	0.11334
Sylvia	0.113147
Maria	0.112948
Beth	0.112654
Pauline	0.112188
hazel	0.111804
Brooke	0.111123
Rebecca	0.111012
Julie	0.110913
Nina	0.110883
Sara	0.110821
Laura	0.110702
Meredith	0.110508
Vicki	0.110467
"Wang Yeping"	0.110455
Nicole	0.108795
Susie	0.10875
Denise	0.108595
Peggy	0.10854
Deborah	0.107199
Beatrice	0.107131
colleen	0.106749
Marianne	0.106404
Katherine	0.106316
Dorothy	0.106303
becky	0.105138
Shirley	0.105093
Teresa	0.104755
Sarah	0.104229
Caroline	0.104044
Millie	0.103841
Lucy	0.103741
Nikki	0.103534
"Leigh Ann"	0.103101
Liz	0.102842
Sophie	0.102795
"Carolyn Bessette Kennedy"	0.102167
Annie	0.101204
Natalie	0.101151
Julia	0.100897
Eleanor	0.100522
Vanessa	0.100206
gloria	0.100134
Rita	0.0993297
Jessica	0.0983337
Danielle	0.0978483
Mona	0.0968081
Roberta	0.0963497
Anne	0.0963114
Marilyn	0.0962602
ANN	0.0962369
Melissa	0.0960807
Angela	0.0957744
Sally	0.0950872
Gina	0.0949651
Jeanne	0.0949509
Christina	0.094511
Emily	0.0943235
Judy	0.094281
Wanda	0.0941963
Vera	0.0939926
anna	0.0939023
Helen	0.0935022
Dolores	0.0932876
Pamela	0.093054
Lois	0.0927815
Tina	0.0927322
Carol	0.0924227
Shannon	0.0919288
Claudia	0.0917413
Olivia	0.0911757
Tipper	0.0907485
Alma	0.0904528
Elaine	0.0904118
Sandra	0.0903907
Renee	0.0903864
Thelma	0.0902789
"Jane Fonda"	0.0901528
Ellen	0.0896598
daphne	0.0896509
Megan	0.0893216
Clara	0.0893167
Johanna	0.0892599
Ashley	0.0892553
Kate	0.0883995
Kay	0.0879739
Melanie	0.0869035
Anita	0.0865593
"Caroline Kennedy Schlossberg"	0.0864104
Colette	0.0864038
"Queen Noor"	0.0861889
Natasha	0.0860799
Stacy	0.0856122
Robin	0.0855788
Louise	0.0849442
Brandi	0.0846892
"Zhu Lin"	0.0842533
Martha	0.0840851
Gail	0.0839468
Laurie	0.0834361
Marisleysis	0.0833269
Paulina	0.0829263
Naomi	0.0827761
Jenny	0.0827502
Claire	0.0826286
heather	0.0825855
Norma	0.0824923
Lynn	0.082408
Leslie	0.0815306
Lauren	0.0815175
Arlene	0.0812893
Hilary	0.0811899
Gillian	0.080735
Darlene	0.0806776
Alison	0.0805641
))
("Alicia Silverstone" (desc 1341.54) (sims
"Bill Pullman"	0.180024
"Christopher Walken"	0.166498
"Aidan Quinn"	0.131417
"Martin Sheen"	0.126738
"Mark Wahlberg"	0.124814
"Willem Dafoe"	0.113671
"Bette Midler"	0.108739
"Carol Burnett"	0.106064
"Helen Mirren"	0.106056
"Richard Gere"	0.104958
"Kevin Kline"	0.103863
"Joseph Fiennes"	0.103623
Midler	0.103017
"Hugh Grant"	0.0996676
"Sally Field"	0.0992419
"Nathan Lane"	0.0982918
"Martin Lawrence"	0.0968366
"Demi Moore"	0.0954611
"Sissy Spacek"	0.0951678
"Renee Zellweger"	0.0937616
"Harvey Keitel"	0.0936978
"Nick Nolte"	0.0933504
"Juliette Lewis"	0.0923574
"Kathleen Turner"	0.0919142
"Julie Andrews"	0.0908971
"Rob Lowe"	0.0905125
"Wesley Snipes"	0.0901538
"Jeremy Irons"	0.0878789
"Angela Bassett"	0.0874521
"Melanie Griffith"	0.087028
"Brendan Fraser"	0.086459
"Ralph Fiennes"	0.0850303
"Tracey Ullman"	0.0844128
"Sean Penn"	0.0838132
"Natalie Portman"	0.0837615
"Sarah Jessica Parker"	0.0831926
"Keanu Reeves"	0.0828294
"Billy Crudup"	0.0827153
"Gregory Peck"	0.082401
"Jennifer Love Hewitt"	0.081251
"Lily Tomlin"	0.0798248
"Burt Lancaster"	0.0788231
"Ethan Hawke"	0.0786848
"Chevy Chase"	0.0770376
"Antonio Banderas"	0.0769227
"Ally Sheedy"	0.0767552
"Pierce Brosnan"	0.0765157
"Kenneth Branagh"	0.0762152
"Kevin Bacon"	0.0752538
"Elisabeth Shue"	0.0748601
"Alfre Woodard"	0.0748314
"Richard Dreyfuss"	0.0746984
"Salma Hayek"	0.0740333
"Leelee Sobieski"	0.0730144
"Emily Watson"	0.0728175
"Gene Hackman"	0.0726669
"Sidney Poitier"	0.072378
"Dan Aykroyd"	0.0720983
"Joan Allen"	0.0718259
"Susan Sarandon"	0.0717141
"Matthew McConaughey"	0.0707405
"Brenda Blethyn"	0.0706058
"Johnny Depp"	0.0704694
"Matthew Broderick"	0.0701979
"John Cusack"	0.0699529
"Tobey Maguire"	0.0698884
"Edward Furlong"	0.0696652
"Jamie Foxx"	0.0693138
"Vivien Leigh"	0.0692727
"Kris Kristofferson"	0.0692202
"Stanley Tucci"	0.0686096
"Robert Downey Jr."	0.0684964
"Ray Romano"	0.0682575
"Edward Norton"	0.0680293
"Patricia Arquette"	0.0679859
"Robin Williams"	0.067955
"Janeane Garofalo"	0.0677595
"James Van Der Beek"	0.0676474
"Tom Selleck"	0.0674931
"Ian Holm"	0.0671795
"Henry Fonda"	0.0671698
"Robert DeNiro"	0.0668993
"Chow Yun-Fat"	0.066778
"Omar Epps"	0.0667466
"James Earl Jones"	0.0664922
"Jessica Lange"	0.066239
"Anjelica Huston"	0.0656983
"Spencer Tracy"	0.0653093
"Jeff Bridges"	0.0652659
"Sean Connery"	0.0651802
"Kim Basinger"	0.06472
"Claire Danes"	0.0643717
"Ashley Judd"	0.0635858
"Robert Redford"	0.0635447
"James Cagney"	0.063139
"Janet McTeer"	0.0625059
"David Arquette"	0.0624462
"Val Kilmer"	0.0623817
Costner	0.0623529
"Cuba Gooding Jr."	0.0622875
"Richard Burton"	0.0622176
"Tommy Lee Jones"	0.0619448
"Glenn Close"	0.0619259
"Ben Affleck"	0.0618456
"Christopher Plummer"	0.0617062
"Gary Cooper"	0.0617026
"William Hurt"	0.0616847
"Meryl Streep"	0.0614883
"Sigourney Weaver"	0.0613699
"Samuel L. Jackson"	0.0613578
"Jennifer Lopez"	0.0612807
Cleese	0.0612483
"Tim Allen"	0.0610865
"Michael J. Fox"	0.0610661
Braugher	0.060839
"Anne Heche"	0.0608129
"Geoffrey Rush"	0.0605026
"Cary Grant"	0.0602682
"Michelle Pfeiffer"	0.0598131
"Tyra Banks"	0.0596444
"Jamie Lee Curtis"	0.0595356
"Patrick Stewart"	0.0591643
"Taye Diggs"	0.0591618
gonzo	0.0591503
"Dame Judi Dench"	0.0589916
"Brad Pitt"	0.0589342
"Jon Voight"	0.0586865
"Danny DeVito"	0.0585065
"Kirsten Dunst"	0.0584512
"Cate Blanchett"	0.0582915
"Trey Parker"	0.0578594
"Matt Damon"	0.0577757
"Laurence Olivier"	0.0577733
"Sela Ward"	0.0577316
"Catherine Deneuve"	0.057708
"Russell Crowe"	0.0576896
"Michael Caine"	0.0576344
Hurlyburly	0.0574368
"Annette Bening"	0.0572317
"Kirk Douglas"	0.0569582
"Kate Winslet"	0.0569495
"Albert Brooks"	0.0568951
Deneuve	0.0568739
"Jodie Foster"	0.0568144
"Chris Klein"	0.0568139
"Dustin Hoffman"	0.05669
"Nigel Hawthorne"	0.05654
"Humphrey Bogart"	0.0564279
"Harrison Ford"	0.0563124
"Blue Room"	0.0562309
"Christopher Reeve"	0.0561556
"Paul Newman"	0.0560103
"Lauren Bacall"	0.0558528
"Uma Thurman"	0.0558196
"Norm MacDonald"	0.0555913
"John Belushi"	0.0555668
"Heather Graham"	0.0555245
"Brooke Shields"	0.0554665
"Marlon Brando"	0.0553886
"Kevin Costner"	0.0553612
"Drew Barrymore"	0.0551276
"Gwyneth Paltrow"	0.055056
"John Leguizamo"	0.0549629
"Walter Matthau"	0.0549484
"Bette Davis"	0.0546369
"Cameron Diaz"	0.0545441
"Steve McQueen"	0.0544253
"Jimmy Stewart"	0.0543776
"Holly Hunter"	0.054349
"Liam Neeson"	0.0540004
"Robert de Niro"	0.0538781
"Tim Robbins"	0.0538628
"Frances McDormand"	0.0537576
"Lynn Redgrave"	0.053699
"Vanessa Redgrave"	0.0536332
"Ben Stiller"	0.0535105
"Famke Janssen"	0.0534654
"Burt Reynolds"	0.0528183
Tucci	0.052721
"Bernadette Peters"	0.0527085
"Reese Witherspoon"	0.0526955
"Julianne Moore"	0.0525682
"Van Dyke"	0.0525493
Rockettes	0.0523466
"House Un-American Activities Committee"	0.0523269
"Bridget Fonda"	0.0522861
"James Woods"	0.0521553
"Nicole Kidman"	0.0521515
Broderick	0.0519841
"Brian Dennehy"	0.0517131
"Sandra Bullock"	0.0516524
"Stephen Rea"	0.0515721
"Christian Bale"	0.0513268
"Minnie Driver"	0.051103
"Meg Ryan"	0.0510879
"Bill Paxton"	0.0509999
furlong	0.0506628
"Bill Murray"	0.0505289
"Jack Lemmon"	0.0504799
Grammer	0.0504635
))
(alien (desc 43139.2) (sims
immigrant	0.136269
criminal	0.113172
foreigner	0.107318
migrant	0.106069
terrorist	0.096125
smuggler	0.0914384
illegals	0.09069
creature	0.0906112
offender	0.0902007
"drug trafficker"	0.0874348
refugee	0.0861915
suspect	0.0804878
person	0.080025
citizen	0.0784438
felon	0.0771524
"drug addict"	0.0770371
deserter	0.0769008
juvenile	0.0768701
asylum-seekers	0.0765037
"drug dealer"	0.0763381
prisoner	0.0757398
spy	0.0750365
gang	0.0749192
bandit	0.0747897
man	0.0737922
emigrant	0.0736404
individual	0.0734372
Haitian	0.0728874
inmate	0.0728162
animal	0.0723648
"war criminal"	0.0722475
fugitive	0.0721409
Cuban	0.0714724
trafficker	0.0709976
laborer	0.0706643
militant	0.0704447
Nicaraguan	0.0702076
Jew	0.0701053
Robot	0.0698448
soldier	0.0692265
woman	0.0689471
robber	0.0686847
national	0.0684059
adult	0.0679812
worker	0.0677593
human	0.0677308
prostitute	0.0675956
thief	0.0672599
addict	0.0672593
teen-ager	0.0666275
firearm	0.066517
monster	0.0661136
Killer	0.0660026
seeker	0.0659694
kid	0.0651634
journalist	0.0651351
contraband	0.0649201
guerrilla	0.0644112
detainee	0.0641081
"political prisoner"	0.063983
murderer	0.0637662
stranger	0.0636824
slave	0.0635177
boy	0.0634996
"drug user"	0.0630624
child	0.0626053
extremist	0.0625355
"young man"	0.0625082
Salvadoran	0.062381
student	0.0623678
stowaway	0.0621994
rebel	0.0621682
hooligan	0.0619265
civilian	0.0617136
enemy	0.0615053
ghost	0.0613618
"police officer"	0.0611595
narcotic	0.0610893
insect	0.0607756
Filipino	0.0606271
Fishermen	0.0605803
servicemen	0.0604258
Iranian	0.0604073
violator	0.0602864
Eritrean	0.0601864
Kurds	0.0601378
villain	0.0599113
beings	0.0596814
"human being"	0.0594103
victim	0.0590255
agent	0.0590082
gunmen	0.058934
athlete	0.0588668
visitor	0.0588538
bird	0.0587693
specie	0.0587197
"temporary worker"	0.0585831
Albanian	0.0585292
weapon	0.0585107
orphan	0.0584993
troublemaker	0.0582316
Dinosaur	0.0581957
"young woman"	0.0581537
tourist	0.0580167
settler	0.0578481
dog	0.0578164
officer	0.0577894
"Kosovo Albanians"	0.0577561
Cop	0.0577543
"college student"	0.0577226
perpetrator	0.0576866
outsider	0.0576605
personnel	0.0574801
applicant	0.0574329
immigration	0.0574036
Chinese	0.0572824
drug	0.0572207
teenager	0.0572053
youth	0.0568323
demon	0.056794
gangster	0.056789
defendant	0.0566203
girl	0.0566101
abuser	0.0565393
someone	0.0565021
attacker	0.0563621
thug	0.0563158
hacker	0.0563137
conspiracy	0.056239
traveler	0.0560993
pet	0.0558937
businessmen	0.0557881
smuggling	0.0557662
employee	0.0555612
troop	0.0555283
minor	0.0553781
"truck driver"	0.0553702
mugger	0.0553571
Gypsy	0.0552775
Mexican	0.0552184
Kosovars	0.0552103
resident	0.0552092
"organized crime"	0.0551929
mobster	0.0551742
relative	0.0548494
pilgrim	0.0548437
deportee	0.0544371
"money laundering"	0.0543833
dissident	0.0542878
Guatemalan	0.0542098
Mozambican	0.0541118
intruder	0.0540954
"Central American"	0.0540814
teens	0.0540088
youngster	0.0539726
predator	0.053969
fighter	0.0539292
patient	0.0539112
Algerian	0.053872
anyone	0.0538391
minority	0.0538215
character	0.0538167
idiot	0.0537939
male	0.0537769
Serbs	0.0536434
scientist	0.0533766
driver	0.0533331
homeless	0.0532819
"farm worker"	0.0532813
peacekeeper	0.05326
artifact	0.0532418
crime	0.0531958
bug	0.0531622
mercenary	0.0530246
"Sri Lankans"	0.0528471
Muslim	0.0528338
object	0.0528244
Bangladeshi	0.0527903
"military personnel"	0.0527684
"bad guy"	0.0527336
policemen	0.0526459
professional	0.0526145
Hijacker	0.0525724
pig	0.0525106
"white man"	0.0524455
sailor	0.0523777
black	0.0523751
passenger	0.0523549
farmer	0.0522893
priest	0.0520013
vampire	0.0519994
vessel	0.0518971
poacher	0.0517591
villager	0.0516571
kidnapper	0.051618
hero	0.0514249
virus	0.0514233
assailant	0.0514217
CAT	0.0512263
"FBI agent"	0.0512095
))
(alienation (desc 12618.1) (sims
loneliness	0.158045
helplessness	0.138112
despair	0.12954
hopelessness	0.120919
disillusionment	0.117637
isolation	0.117521
apathy	0.114659
sadness	0.113143
distrust	0.110699
powerlessness	0.1096
bitterness	0.109383
insecurity	0.107538
anxiety	0.105875
mistrust	0.10584
anger	0.104441
confusion	0.104335
polarization	0.104082
frustration	0.103787
desperation	0.102653
angst	0.101714
cynicism	0.100327
restlessness	0.097737
dread	0.0973595
resentment	0.0968277
deprivation	0.0956718
Ostracism	0.0946822
disenchantment	0.0945551
jealousy	0.0942196
boredom	0.0939915
grief	0.0933596
unease	0.0932459
weariness	0.0931151
estrangement	0.0928435
dislocation	0.0925785
inequality	0.0924251
anguish	0.0917621
bewilderment	0.0907362
hatred	0.09054
rage	0.0891251
uneasiness	0.089094
malaise	0.0887781
paranoia	0.0882378
discontent	0.0881673
fragmentation	0.0881288
ennui	0.0869993
dysfunction	0.086765
outrage	0.086313
betrayal	0.0857647
Depression	0.0855094
Exhaustion	0.0841557
melancholy	0.0839379
sorrow	0.0833152
longing	0.0832404
elation	0.0829723
revulsion	0.08284
self-doubt	0.0826595
terror	0.0825708
yearning	0.0809144
heartbreak	0.0805989
decay	0.0802336
disgust	0.0788253
fatalism	0.0786008
disappointment	0.0785086
hardship	0.0779277
misery	0.0773851
poverty	0.0770739
guilt	0.0768307
hostility	0.0765425
pain	0.0761833
uncertainty	0.0761422
complacency	0.0760572
Burnout	0.0756632
prejudice	0.0755731
embarrassment	0.0746947
despondency	0.0738371
lethargy	0.0736876
exhilaration	0.0730783
self-loathing	0.0729415
intolerance	0.0729303
awkwardness	0.0726367
disconnection	0.0725494
indifference	0.0719741
shame	0.0716245
suffering	0.0712786
disaffection	0.0710758
oppression	0.0710511
ambivalence	0.0710179
emptiness	0.0708943
"memory loss"	0.0708124
anarchy	0.0707033
instability	0.0701604
nervousness	0.0701588
humiliation	0.0701506
indignation	0.0700888
panic	0.0699837
unreality	0.0699386
tension	0.0698522
happiness	0.0696522
hate	0.0696215
marginalization	0.0696196
ignorance	0.0692637
Distress	0.0690209
divisiveness	0.0687521
discomfort	0.0682921
emotion	0.0679393
injustice	0.067209
foreboding	0.0670756
horror	0.067035
dissatisfaction	0.0668071
skepticism	0.0667957
repression	0.0667333
displacement	0.0667077
homelessness	0.0665594
self-esteem	0.0659634
inadequacy	0.0659251
disbelief	0.0655525
xenophobia	0.0653798
desolation	0.0652923
racism	0.0652885
unhappiness	0.0652633
passion	0.0652117
nationalism	0.0650684
animosity	0.0649488
numbness	0.0648756
"substance abuse"	0.0648307
degradation	0.0647788
torment	0.0644738
defensiveness	0.0643473
backlash	0.064208
devastation	0.0639409
tiredness	0.0639384
fatigue	0.0638819
misunderstanding	0.0635652
chaos	0.0632681
disquiet	0.0632303
hunger	0.063215
lawlessness	0.0626527
pride	0.0626267
unrest	0.062588
empowerment	0.0621536
idealism	0.0620614
suspicion	0.0618266
exclusion	0.061826
apprehension	0.0617101
Psychosis	0.0616704
self-worth	0.0613967
loyalty	0.0613418
pessimism	0.0610579
envy	0.0610257
disorientation	0.0607651
segregation	0.0607643
schism	0.0601947
patriotism	0.0601785
vulnerability	0.060106
cruelty	0.060081
sexuality	0.0600652
strife	0.0597572
heartache	0.0597245
agony	0.0597078
assimilation	0.0595224
greed	0.059486
puzzlement	0.0594114
irritability	0.0594027
self-satisfaction	0.0593082
victimization	0.0592158
hysteria	0.0590854
recrimination	0.0589387
phobia	0.0588024
"alcohol abuse"	0.0587354
joy	0.0587311
desire	0.0587031
oneness	0.0586432
Innocence	0.0586361
neglect	0.0583791
dismay	0.0582201
inferiority	0.0581167
overconfidence	0.0580555
lust	0.0579521
intimidation	0.0576082
separation	0.057332
Addiction	0.0573115
"good will"	0.0572618
exasperation	0.0572477
remorse	0.0571471
regret	0.0571281
backwardness	0.056972
hypocrisy	0.0569309
sickness	0.0569305
sympathy	0.0567486
impatience	0.0566298
stagnation	0.0565656
anti-Semitism	0.0564803
ambiguity	0.0564682
trauma	0.0562904
gloom	0.0562579
excitement	0.0560735
camaraderie	0.0560212
"drug use"	0.055943
acceptance	0.0559198
arrogance	0.055816
))
(Aliev (desc 1200.98) (sims
Diouf	0.163073
Nateq-Nouri	0.147024
Shevardnadze	0.142598
Guterres	0.136888
Dodik	0.131603
Izetbegovic	0.127625
Guei	0.1261
Bedie	0.125698
Zeroual	0.121256
Aliyev	0.120474
Nazarbayev	0.118066
Rabbani	0.117199
Lukashenko	0.116726
Aleman	0.116685
Chavalit	0.11556
Klestil	0.11542
"Lokendra Bahadur Chand"	0.112133
D'Alessandro	0.112009
Djukanovic	0.111511
Bouteflika	0.11114
Meciar	0.11111
Akayev	0.111002
Abdel-Meguid	0.108041
Banzer	0.107884
Bucaram	0.106485
Sponeck	0.10646
Jayalalitha	0.106218
Sumaye	0.105018
Obasanjo	0.103719
Dudayev	0.103458
Koirala	0.103242
Nebiolo	0.10253
Ruthardt	0.102456
Chissano	0.102434
Erbakan	0.10186
Luzhkov	0.0986061
Aristide	0.0983172
Chand	0.0982936
Velayati	0.0975738
Maskhadov	0.0974337
Mikhailov	0.0970954
Kuchma	0.0970897
Samper	0.0966981
Chuan	0.0965883
Hallinan	0.096437
Estrada	0.0961481
Rafsanjani	0.0961431
Kostov	0.0959415
Kazhegeldin	0.09589
Rossello	0.0956844
Cardoso	0.0955569
Zedillo	0.095295
Bishara	0.0951044
Garcetti	0.0950704
"Khaleda Zia"	0.0948911
Muluzi	0.094817
Soares	0.0944058
Baucus	0.0932337
Blatter	0.0922097
Orban	0.0921616
Fujimori	0.0917334
Deuba	0.0916633
Mkapa	0.0915455
Constantinescu	0.0914499
Pastrana	0.0912359
"Perez Balladares"	0.0909818
Menem	0.0909482
BURNHAM	0.0907156
Schuessel	0.0906535
Faget	0.090407
Mokhehle	0.0903288
Ghalib	0.0899752
Soyinka	0.0892177
Rakhmonov	0.0888886
Wolfensohn	0.0885963
Gosper	0.0883486
Aznar	0.0880599
Alarcon	0.0875012
Lazarenko	0.0873827
Scalfaro	0.0872115
Shipley	0.0871018
Weizman	0.0867559
Majko	0.0867132
Musharraf	0.0866557
Mejia	0.0865664
Seleznyov	0.086486
Demaci	0.0861899
Carollo	0.0861745
Misuari	0.0861649
Vieira	0.0861082
Wahid	0.0855992
Yilmaz	0.0853117
Zhirinovsky	0.0852477
Yavlinsky	0.0851194
Mahuad	0.0849725
Golding	0.0847237
Chretien	0.0846934
Ruehe	0.0842664
Thapa	0.0841538
Bondevik	0.0835681
Ecevit	0.0834945
Bouchard	0.0831825
Demps	0.0829134
Knievel	0.0828712
"Yossi Sarid"	0.0827807
Simitis	0.0827443
Banharn	0.0827197
Nujoma	0.0826047
NRC	0.0824829
Laperriere	0.0821265
Carnahan	0.0820422
Balaguer	0.0819921
Narayanan	0.0813707
"Moammar Gadhafi"	0.0813659
Gadhafi	0.0812898
Piccard	0.0810981
Noboa	0.0810351
Clerides	0.0810253
Khatami	0.0809497
Aideed	0.0809018
Mordechai	0.0806755
Siegelman	0.0806083
Djindjic	0.0802413
Feingold	0.0801821
Dehaene	0.0801672
Hayworth	0.079807
Poplasen	0.0796641
Molinari	0.0793246
Cornyn	0.07915
Hasina	0.0791229
Rais	0.0790602
Kasoulides	0.0789851
Grasso	0.0787654
Rua	0.0786118
Fabius	0.0785402
"Helen Clark"	0.0785121
Koznick	0.0785083
el-Bashir	0.0783587
"President Lee Teng-hui"	0.078267
Peres	0.0780612
Klinsmann	0.0777147
Shaath	0.0776831
Arens	0.0773771
Sutiyoso	0.077346
Rangel	0.0773086
Abubakar	0.0772861
"Paul Keating"	0.0771767
Khamenei	0.076909
Cianci	0.0768814
Museveni	0.076692
Tudjman	0.0764876
Kumaratunga	0.076228
Ben-Ami	0.0759791
Saleh	0.0759626
Baca	0.075869
Hanley	0.0757898
Zeman	0.0756821
Mbeki	0.0756195
Ponte	0.0754437
Lipponen	0.0753246
Kouchner	0.075155
"Congressional Republicans"	0.0749873
Skiles	0.0749188
"George Speight"	0.07474
Indyk	0.0746836
Jospin	0.0746663
Manley	0.0745577
Habibie	0.0743474
Cardenas	0.0741532
Ekeus	0.0740832
Raznatovic	0.0740449
D'Alema	0.0740437
Rawlings	0.0739849
Warshaw	0.073923
Sainz	0.0739078
Edelstein	0.073889
"Chavalit Yongchaiyudh"	0.0737816
Verniero	0.073775
Meskini	0.0736065
Appleby	0.0730721
Tung	0.0730153
"Al Sharpton"	0.072942
Salazar	0.0728472
Edelman	0.0726633
Camdessus	0.0725489
Ogata	0.0725415
Bunning	0.0725188
Shulman	0.0724271
Patasse	0.0722298
Farrakhan	0.0720853
Azad	0.0720833
Haider	0.0717764
Mahathir	0.0717065
Vogts	0.07169
Lahoud	0.0716774
Luong	0.0716595
Neulander	0.0715749
Cubas	0.071401
Brittan	0.0714
"Meles Zenawi"	0.0712385
))
(alignment (desc 15540.3) (sims
configuration	0.0742116
"game plan"	0.0692642
realignment	0.0645257
compatibility	0.0594779
"teaching method"	0.0589686
rotation	0.0570988
confluence	0.0570579
orbit	0.0570097
posture	0.0567314
dynamic	0.0565461
coordination	0.0565067
harmony	0.0562883
equilibrium	0.0558681
linkage	0.054573
formation	0.0538115
mindset	0.0536481
Chemistry	0.0528815
pattern	0.0527701
compliance	0.0520605
setup	0.051906
mode	0.050821
format	0.0507568
timing	0.0502539
contour	0.0497686
juxtaposition	0.0497372
parity	0.0495514
interaction	0.0494619
divestiture	0.0494339
paradigm	0.0493027
wording	0.0489764
Convergence	0.0479812
lineup	0.0479701
integration	0.0478791
scheduling	0.0477698
spacing	0.0475783
adjustment	0.047432
tempo	0.0473548
identification	0.0470302
synergy	0.0468886
perspective	0.0468415
perception	0.0468046
mechanism	0.0464533
"balance of power"	0.0463754
enforcement	0.0463219
"two sections"	0.0462439
decentralization	0.0461465
concept	0.0461421
accountability	0.0460613
distribution	0.0459559
rhythm	0.04589
maintenance	0.0457593
interoperability	0.0456779
climate	0.0456621
"business relation"	0.0455405
tactic	0.0451209
Formula	0.0450653
"control system"	0.0449784
habit	0.0449111
characteristic	0.0448763
placement	0.0447086
equation	0.0446847
dynamics	0.0446588
lifestyle	0.044471
calculus	0.0442375
density	0.0442229
pronunciation	0.0441549
collaboration	0.0441355
"magnetic field"	0.0440465
angle	0.0439597
definition	0.0438404
"head count"	0.0437559
"political relation"	0.043754
partnership	0.0437446
reliability	0.0433454
demarcation	0.043311
pairing	0.0432346
synchronization	0.0431618
routine	0.0431584
evolution	0.0431301
formulation	0.0431196
retention	0.0430387
diversification	0.0430105
"camera angle"	0.0429888
matchups	0.0429847
philosophy	0.0429726
composition	0.0428545
scenario	0.0428297
"air pressure"	0.0428239
calendar	0.0427282
parameter	0.0426012
curriculum	0.0425909
measurement	0.0424821
"center of gravity"	0.0421117
"quality control"	0.0420109
teamwork	0.0419418
timetable	0.0419394
depth	0.0419213
makeup	0.041883
Diet	0.0418305
typeface	0.0416983
consistency	0.041613
vacuum	0.0416092
"trade policy"	0.0415851
mobility	0.0413709
Liberalization	0.0413135
existence	0.0413085
diversity	0.0411969
orientation	0.041157
acoustic	0.0411314
groundswell	0.0409515
trajectory	0.0408527
"tax shelter"	0.0408203
classification	0.0405973
"blood type"	0.0404928
restraint	0.0404858
demographics	0.040473
"name change"	0.040438
assumption	0.0402907
symmetry	0.0402518
axis	0.0402206
Openness	0.0401868
brightness	0.0400667
context	0.0400496
nexus	0.0400115
))
("Alija Izetbegovic" (desc 2386.34) (sims
"Momcilo Krajisnik"	0.257121
"Kresimir Zubak"	0.197408
"Franjo Tudjman"	0.187546
"Yossi Sarid"	0.174416
"Aslan Maskhadov"	0.150682
"Martin Lee"	0.149016
"Amien Rais"	0.146836
"Abdurrahman Wahid"	0.145778
"Xanana Gusmao"	0.145372
"Jacques Santer"	0.141995
"Frank Joklik"	0.140148
"Kim Dae Jung"	0.139921
"Gennady Zyuganov"	0.138265
"Nikola Poplasen"	0.138141
"Jonas Savimbi"	0.132171
"Martti Ahtisaari"	0.130928
"Aryeh Deri"	0.129106
"Mikulas Dzurinda"	0.12387
"Than Shwe"	0.12194
"Wim Duisenberg"	0.121697
"Nur Misuari"	0.121216
"Kim Yong Nam"	0.120878
"Li Ruihuan"	0.12083
"Wei Jianxing"	0.120443
"Gerry Adams"	0.119959
"Ricardo Alarcon"	0.117739
"Carl Bildt"	0.117699
"Wang Daohan"	0.11702
"Arthur Levitt"	0.116599
"Radovan Karadzic"	0.116364
"Biljana Plavsic"	0.116089
"Megawati Soekarnoputri"	0.1159
"Tom Johnson"	0.114956
"Chea Sim"	0.114127
"Jim Nicholson"	0.113618
"Marzuki Darusman"	0.113232
"Yegor Stroyev"	0.113048
"Ernesto Zedillo"	0.112594
"Kim Il Sung"	0.112407
"Zoran Djindjic"	0.111886
"Thabo Mbeki"	0.11168
"David Duke"	0.111592
"Milos Zeman"	0.111536
"Archbishop Desmond Tutu"	0.111349
"Moammar Gadhafi"	0.11112
"Mikhail Gorbachev"	0.110785
"Julian Bond"	0.110719
"John Sweeney"	0.110396
"William Hague"	0.110286
"Krishna Prasad Bhattarai"	0.110262
"Lech Walesa"	0.110091
"Faisal Husseini"	0.108813
"Sumner Redstone"	0.108736
Izetbegovic	0.107648
"Sonia Gandhi"	0.107033
"Richard Gephardt"	0.106744
"Carlos Menem"	0.106514
"Qiao Shi"	0.106405
"Zhou Guangzhao"	0.105912
"Mel Karmazin"	0.105826
"Jacques Chirac"	0.105364
"Robert Mugabe"	0.105272
"Megawati Sukarnoputri"	0.104901
"Hashim Thaci"	0.104844
"Lokendra Bahadur Chand"	0.104016
"Jack Valenti"	0.10397
"Joseph Bruno"	0.103477
"Huang Ju"	0.103477
"Ibrahim Rugova"	0.10345
"Sher Bahadur Deuba"	0.102943
"Juan Antonio Samaranch"	0.102731
"Ivan Kostov"	0.102638
Buthelezi	0.102233
"Oskar Lafontaine"	0.101553
"Olusegun Obasanjo"	0.101393
"Steve Case"	0.10069
"Vojislav Seselj"	0.0995407
"Alexander Lukashenko"	0.099506
"Alberto Fujimori"	0.0989782
"Defense William Cohen"	0.0988241
Klestil	0.0981957
"Fernando Henrique Cardoso"	0.0981756
Mukora	0.0981498
"Tony Coelho"	0.0981022
"Carlos Westendorp"	0.0978282
"Pierre Buyoya"	0.0978012
"Ratko Mladic"	0.097775
R-Alaska	0.0975906
"Fatos Nano"	0.0972388
"Bizima Karaha"	0.0971732
"Qian Qichen"	0.0966546
"Vaclav Havel"	0.096575
"Sepp Blatter"	0.09621
"Vojislav Kostunica"	0.0958575
"Charles Taylor"	0.0958506
"Ayatollah Ali Khamenei"	0.0956781
"Jamil Mahuad"	0.0956516
"Sali Berisha"	0.0952507
"Helen Clark"	0.0951226
"Steve Ballmer"	0.0950959
"Hugh Shelton"	0.0948913
"Wolfgang Schaeuble"	0.0945864
Nazarbayev	0.0943926
"Bashkim Fino"	0.0943893
"Joao Havelange"	0.0943225
Wamba	0.0943151
"Alexander Shokhin"	0.0941188
"Mesut Yilmaz"	0.093593
"Milorad Dodik"	0.0934413
"George Mitchell"	0.0932767
"Liu Huaqing"	0.0920618
"Valery Pustovoitenko"	0.0919696
"Slobodan Milosevic"	0.0909993
"Koo Chen-fu"	0.0909134
"Laurent Kabila"	0.0901474
Diouf	0.0899508
"Ketumile Masire"	0.089914
"Billy Payne"	0.0897727
"Jacques Rogge"	0.0895687
"Shimon Peres"	0.0895423
"Howard Baker"	0.0894609
"Hafez Assad"	0.0892577
R-Ind.	0.0891956
"Hugo Chavez"	0.0891349
"Michel Camdessus"	0.0891105
"Wolfgang Schuessel"	0.0890618
"John Boehner"	0.0889599
"Bill Archer"	0.0886042
"Vaclav Klaus"	0.0883194
"Li Peng"	0.0878608
Chissano	0.0876138
"Pasteur Bizimungu"	0.0875561
"Gennady Seleznyov"	0.0875045
"Grigory Yavlinsky"	0.0873809
"Hu Jintao"	0.0872622
"John Quincy Adams"	0.0872283
"Necmettin Erbakan"	0.0872234
"Foday Sankoh"	0.0871991
"Tom Welch"	0.0871144
"Yasser Arafat"	0.0869477
"Kim Jong Il"	0.0867111
"Hosni Mubarak"	0.0866912
Alatas	0.0859721
"Girija Prasad Koirala"	0.0857955
"Andres Pastrana"	0.0855653
"Seamus Mallon"	0.0852797
"Boutros Boutros Ghali"	0.0852542
"J.C. Watts"	0.0849649
"Jean-Marie Le Pen"	0.0848934
"Charles Dolan"	0.0847298
"Gerald Levin"	0.0846659
Dae-jung	0.0844492
"Julius Nyerere"	0.0842609
"Secretary General Boutros Boutros-Ghali"	0.0841746
R-Ill.	0.0840735
"Joseph Estrada"	0.0840045
"James P. Hoffa"	0.083809
"Princess Anne"	0.0833781
"Jeremy Greenstock"	0.0833247
"De Klerk"	0.0831013
"Joaquim Chissano"	0.0829096
"John Hume"	0.0824963
"Adem Demaci"	0.0823234
"Ariel Sharon"	0.0821881
Muluzi	0.0820912
"Ieng Sary"	0.0820268
"Henry H. Shelton"	0.0819357
"Le Kha Phieu"	0.0819319
"Li Tieying"	0.0818434
"Antonio Guterres"	0.0818348
"Vuk Draskovic"	0.0815815
"John Shalikashvili"	0.0814
"Michael Eisner"	0.0811088
Qiao	0.08081
"Dan Meridor"	0.0807662
Klerk	0.080655
Frei	0.0805846
Harmoko	0.0802243
Sarid	0.0802073
"Jack Welch"	0.0800436
R-Ky.	0.0797463
Kwasniewski	0.0794398
"James Barksdale"	0.0792767
"Dave Checketts"	0.0792106
"Jiang Zemin"	0.0791509
"Rashid Dostum"	0.0791277
"Wlodzimierz Cimoszewicz"	0.0790132
"Li Lanqing"	0.0785373
"Khaleda Zia"	0.0785161
"Bosnian Croats"	0.0785099
"Aung San Suu Kyi"	0.0783098
Zeroual	0.0781973
"Tian Jiyun"	0.0780839
"William Daley"	0.0776874
R-Del.	0.0776117
"Vo Van Kiet"	0.0775953
Dehaene	0.0775701
"Yoweri Museveni"	0.0772285
"Sam Rainsy"	0.0770874
"Robert Gelbard"	0.0769698
))
(alimony (desc 2466.66) (sims
"child support"	0.175441
"hush money"	0.1296
restitution	0.116735
"medical bill"	0.110827
severance	0.10978
gratuity	0.107768
"disability payment"	0.103104
stipend	0.102715
"cash payment"	0.101437
annuity	0.101044
"disability benefit"	0.0999822
"personal loan"	0.0939097
"Social Security benefit"	0.090781
reimbursement	0.0889111
pension	0.0868763
"capital gain"	0.0851449
"property tax"	0.0848414
"death benefit"	0.0817025
Ransom	0.0816251
"Vanguard Index @@@"	0.0804955
"retirement benefit"	0.0801861
Tuition	0.0801021
"ransom money"	0.0800419
refund	0.0794534
"legal fee"	0.0776894
kickback	0.0724543
"temporary worker"	0.0721569
dividend	0.0719829
"parking ticket"	0.0718677
"interest payment"	0.0711417
"prize money"	0.0709878
indemnity	0.070107
"profit sharing"	0.0700468
"licensing fee"	0.0698781
"capital gains tax"	0.0696047
"debt service"	0.0695118
diem	0.0688858
Lien	0.0685861
retainer	0.0685567
"management fee"	0.0685277
"income tax"	0.0682345
"electric bill"	0.0679896
"down payment"	0.0677742
mammogram	0.0667796
"disability insurance"	0.0665112
"tax deduction"	0.0662213
one-off	0.0652093
"gross income"	0.06482
"personal income"	0.0645038
allowance	0.0642994
"cash bonus"	0.0638464
"savings bond"	0.0634343
overdraft	0.0633021
"home mortgage"	0.0629179
instalment	0.0625688
visitation	0.0624087
"checking account"	0.0623773
postage	0.0620905
"stock option"	0.0613304
"life insurance"	0.0609583
GST	0.0608469
claimer	0.0604309
profit-sharing	0.0600073
amortization	0.0595627
"insurance premium"	0.0586018
deduction	0.0581897
"sick pay"	0.0577265
"tax credit"	0.0575578
"honorary degree"	0.0571132
"pay cut"	0.0569837
rebate	0.0568824
"admission fee"	0.0565326
"phone bill"	0.0553365
"interest expense"	0.0552358
deductibles	0.0551469
"entrance fee"	0.0546202
arrears	0.0544984
"bank rate"	0.0544394
"operating expenses"	0.053942
"savings account"	0.0538081
inheritance	0.0536869
"tax bill"	0.0533326
"wage increase"	0.0530363
"admission price"	0.0528237
"RM@@,@@@"	0.0528226
"expense account"	0.052494
"telephone bill"	0.0524936
"service charge"	0.0524344
"food stamp"	0.0522454
abatement	0.0519331
"annual payment"	0.0515875
allotment	0.0515775
bequest	0.0511722
"engagement ring"	0.0510705
receivables	0.0504026
"account statement"	0.0503816
"medicare payment"	0.0498768
payouts	0.0491666
"sick leave"	0.0491228
"fringe benefit"	0.0489819
reparation	0.0489239
Eurobond	0.0486724
"tax liability"	0.0486026
guardianship	0.0485852
"asking price"	0.0485442
invoice	0.0482632
"user fee"	0.048209
"retirement account"	0.0476691
"marriage proposal"	0.0476682
"financial obligation"	0.0476662
"paid vacation"	0.0475006
"production cost"	0.047456
obeisance	0.0472926
rouble	0.0470694
TAXES	0.0470219
"key rate"	0.0469249
"brokerage account"	0.046844
AMT	0.0466915
puritan	0.0466181
payout	0.0464545
"a few thousand dollars"	0.0463337
"bond rating"	0.0462141
feeler	0.0458268
"borrowing cost"	0.045123
"almost $@@@,@@@"	0.044664
commutation	0.0444558
"pay raise"	0.0441139
"tax benefit"	0.0440942
"excise tax"	0.0436581
"health benefit"	0.0434284
increment	0.0433556
"credit line"	0.0428255
escrow	0.0427877
"customs duty"	0.0425986
"Christmas card"	0.0425231
appropriation	0.0425165
"Standard Oil"	0.0420881
"nest egg"	0.0416762
withholding	0.0414911
"Wang Yeping"	0.0414661
"consumption tax"	0.0410931
inducement	0.0410397
"about $@.@@ billion"	0.040986
"speeding ticket"	0.0409007
"consumer loan"	0.040863
M.A	0.0403357
"line of credit"	0.0402686
"export credit"	0.0400602
"money market"	0.0400435
))
(Alioto (desc 822.732) (sims
Caddell	0.237334
Tevanian	0.208368
Kornberg	0.206539
Hodler	0.194149
"defense lawyers"	0.171614
Cornyn	0.168668
Luethke	0.167861
Rivlin	0.160579
Shayler	0.160441
DERSHOWITZ	0.157762
Gutman	0.154919
Broaddrick	0.149357
Maurizi	0.148387
Postol	0.148156
Jovanovic	0.147309
Edelman	0.145085
RIAA	0.141541
Lindland	0.136625
Trulock	0.135536
Advani	0.131725
Rosenblatt	0.130976
Russert	0.130335
"Al Fayed"	0.123335
LaPierre	0.123062
Loewen	0.122129
Smaltz	0.120497
Schmalensee	0.117954
Waxman	0.115918
Greenwald	0.115395
Allard	0.114964
Garcetti	0.114707
Moakley	0.113843
Isner	0.113842
Cleary	0.113325
Caldera	0.112825
Glaser	0.110735
Wolfson	0.110669
Fieger	0.110361
Ruff	0.109553
Manley	0.108879
Brownback	0.108432
Biden	0.107455
Oneidas	0.107188
Kendall	0.106826
Condon	0.106553
Yazdi	0.106549
McLeod	0.10595
Katzenberg	0.105915
Margolis	0.105265
Kohn	0.104407
Hofer	0.104284
Ritter	0.103366
Weldon	0.102461
Eubanks	0.102108
AFA	0.101529
Symington	0.100926
Willey	0.100572
ACLU	0.100477
CFTC	0.100001
"Anita Hill"	0.0997679
Ruehe	0.0988008
Ackerman	0.0986862
Klestil	0.0974628
Breuer	0.0973633
Azizan	0.0970809
Neeman	0.0968739
Liggett	0.0966518
Sensenbrenner	0.0964548
Choate	0.0964477
LaBella	0.0953566
petitioner	0.0950693
Murkowski	0.0949712
"Recording Industry Association of America"	0.0947464
Mucha	0.0946964
Reilly	0.0944574
Idris	0.0943764
Kulikov	0.0943156
OIC	0.0940799
Verney	0.0940247
Esser	0.0939441
Ratner	0.093769
Mudge	0.093647
SEABROOK	0.093013
Cochran	0.0929931
Delahunt	0.0929903
FALWELL	0.0927692
Zucker	0.0927623
Farber	0.0925067
Riordan	0.0924952
Lind	0.0920939
Intergraph	0.0919026
Arbour	0.0917536
Walser	0.0916899
Jaffe	0.0911172
Kushner	0.0909224
Kodikian	0.0908127
Rodionov	0.0906532
Eisenman	0.0905686
Stephenson	0.0901208
Grassley	0.0899708
Shaffer	0.089478
Sergeyev	0.0894004
Menchu	0.089357
Levitt	0.0893191
Hersh	0.0889803
Babcock	0.0888933
"James Sensenbrenner"	0.0887722
Hybl	0.0886705
Myhrvold	0.088414
Lockyer	0.0879417
Harris-Lewis	0.0876591
Bragman	0.0873776
Murr	0.0873688
Briere	0.0871348
Pryor	0.0866287
Fuentes	0.0866233
Leedham	0.0864665
meatpackers	0.0861671
Fagan	0.0861632
Inhofe	0.0853126
Gaynor	0.0852709
Burt	0.0852698
McGinn	0.0851724
"Cox Report"	0.0851122
Canady	0.0850697
Hitchens	0.084904
"Marianne Gingrich"	0.0845289
Eappens	0.0843895
Mullinax	0.0843386
Trantino	0.0842705
Hawthorn	0.0840695
Peretz	0.0839728
Cayugas	0.0839395
Robb	0.0838438
Jenoff	0.0837355
Einhorn	0.0835511
Okamoto	0.0834619
Falk	0.083403
Ciampi	0.0832727
Fassett	0.083177
Rideau	0.0829913
Skuratov	0.08295
Flynt	0.0826313
Podesta	0.0824398
Imelda	0.0824016
noone	0.0823598
DiCarlo	0.0823466
McVeigh	0.0823336
Moeller	0.0822999
Storin	0.0822721
Colburn	0.0816852
Spitzer	0.0813087
Kaczynski	0.0812438
Bulatovic	0.0810935
Koroma	0.0810259
"solicitor general"	0.0808349
"John Cornyn"	0.0807176
Sarid	0.0798885
McGill	0.0798326
Ingraham	0.0792414
Singson	0.0792327
Kennard	0.079226
Groscost	0.0791251
Wetherell	0.0790904
Soares	0.0789551
BORAS	0.078665
McMullen	0.0783277
"Di Canio"	0.0782431
Pyle	0.0781467
Fleischer	0.0776115
Byers	0.0772719
"Bill Lockyer"	0.0772162
Finkelstein	0.0770365
Rudman	0.0767885
Barbour	0.0765831
"defense team"	0.0765115
Wenger	0.0764053
Denktash	0.0762412
Hagelin	0.0758147
Liddy	0.0754133
Pickett	0.0753607
Baumann	0.0752967
Bakaly	0.0752594
"Judicial Watch"	0.0751215
GAGE	0.0749746
Gilman	0.0747564
Berlusconi	0.0747303
"De Klerk"	0.0746816
brill	0.074671
Whaley	0.0743926
"La Bella"	0.0742648
Flemmi	0.0741868
Zacarias	0.0741215
"Jerrold Nadler"	0.0740907
INC	0.0738268
Nicholson	0.0734802
KEVORKIAN	0.073442
Abu-Jamal	0.0734228
Tuttle	0.0733584
Scharping	0.0731272
))
(Aliotti (desc 939.174) (sims
Whitsitt	0.14354
Popovich	0.135761
Milbury	0.134785
Monson	0.125305
Marineau	0.119549
Ponciano	0.119282
Calipari	0.1171
Troussier	0.115978
Verney	0.112029
Bustamante	0.109328
Heinrichs	0.108877
Layden	0.108336
Wenger	0.108187
Slocum	0.107998
Grasso	0.107275
Hartsburg	0.105123
Sherrill	0.103735
Jacquet	0.102902
Solis	0.102135
Dunleavy	0.102039
Zucker	0.101425
Sung	0.101167
Cowher	0.100695
Rongen	0.100512
Lavin	0.100102
Schoenfeld	0.0992575
Felton	0.0992539
Boles	0.098194
Neilson	0.097601
capella	0.0975204
Passarella	0.0967977
"Breda Kolff"	0.0964824
Kessler	0.0961893
Schottenheimer	0.0960745
Harmoko	0.0956797
Summitt	0.095513
Ebersol	0.0954281
Zambrano	0.0953837
Aventajado	0.0952061
Quintana	0.0932657
Goldin	0.0930624
Bubb	0.0922293
Schmid	0.0919204
Donnan	0.0919136
Hauser	0.0918794
"Scotty Bowman"	0.0917317
Reimer	0.0915707
Pruett	0.0908465
Diouf	0.0907874
Ruehe	0.0907589
Gailey	0.090544
"Jim Harrick"	0.0900699
Sampson	0.0896269
Maldini	0.0889829
Bettman	0.0888349
"Don Nelson"	0.0884112
ISSEL	0.0881334
Ainge	0.0878319
Cremins	0.0878122
Mandelson	0.0877282
Mukora	0.0876828
Westphal	0.0876764
Hirschbeck	0.0870038
Tuberville	0.0868435
Gosper	0.0864291
Kilborn	0.0860989
Muckler	0.0857868
Ruthardt	0.0855363
Ditka	0.0849365
Finkel	0.084291
Wendt	0.0836516
Sommer	0.0836357
Shanahan	0.083624
Birnbaum	0.0835441
Mariucci	0.0835
Leyland	0.0833734
Condit	0.0830685
Mfume	0.0829544
Hamlin	0.082808
Carollo	0.081974
Braswell	0.0818897
"La Russa"	0.0816772
Rubenstein	0.0815404
Lambright	0.081484
Dungy	0.0812698
Sato	0.0812559
Millner	0.0811977
Campo	0.0811675
Evernham	0.0811249
Okada	0.0810627
Zadornov	0.0808444
Sununu	0.0805395
Wannstedt	0.0801686
Haskins	0.0800614
Singson	0.0796146
Crabtree	0.0795581
Jauron	0.0794057
Kearin	0.0784732
Cubas	0.0783145
Keenan	0.0782927
Baerga	0.0781062
Spurrier	0.0780436
Eskew	0.0779448
Kornberg	0.0772577
Penders	0.077223
Ruggiero	0.0771775
Solich	0.0770149
Zenga	0.0768405
Rahal	0.0765584
Jarvis	0.0765348
Gullit	0.0765078
Schuerholz	0.076408
McKeon	0.076262
Napolitano	0.0758889
"Dave Campo"	0.0758683
GSS	0.0755837
Vogts	0.0755759
Romar	0.0753145
Duquette	0.0752748
Betts	0.0750126
Tubbs	0.0749086
Talebi	0.0746061
Scharping	0.0744495
Parrish	0.0743316
"Richard Williams"	0.0743098
Holmgren	0.0742917
Hunsicker	0.0742651
Paterno	0.0742444
"Chan Gailey"	0.0741911
Caddell	0.0739842
Fassel	0.0739265
Schaeuble	0.0739086
McMullen	0.073904
"Van Gundy"	0.0735224
LaPierre	0.0734152
Harrick	0.0733408
Samuelson	0.0732687
Rossotti	0.0732303
Camacho	0.0732226
Reinsdorf	0.0730926
Skiles	0.0730726
Clements	0.0727555
Tomjanovich	0.0726824
Basayev	0.072675
Stoneman	0.0724248
Mirer	0.0722505
Finneran	0.0722204
Cooley	0.0721218
Hargrove	0.0719871
Karl	0.0719714
McKenna	0.07161
Kelleher	0.0714857
Wagoner	0.0714451
Hiddink	0.0713883
Paxon	0.07136
Lindland	0.0713395
HELLER	0.0713025
McCann	0.0712026
Rambis	0.0712016
Padilla	0.0710053
Lafleur	0.0707522
Devine	0.07064
Regan	0.0706007
Kimble	0.0705966
Switzer	0.0705413
Polian	0.070381
Gullikson	0.070359
Sojo	0.0702513
Sensenbrenner	0.0702458
Milutinovic	0.0701122
Izzo	0.0700872
Calhoun	0.0698845
DiCarlo	0.0698301
"administration official"	0.0697727
Graziano	0.0696493
Patel	0.0695126
"Van Raaphorst"	0.0693834
Groh	0.0693757
McDonnell	0.0693572
Sather	0.0692857
Elam	0.069258
Naumann	0.0691636
Insulza	0.0690597
Burt	0.0690425
Lombardi	0.0689765
Billick	0.068947
Brinkley	0.0689378
Ganassi	0.0688855
Pfeiffer	0.0688529
Waddell	0.068689
Lehane	0.0684644
Indyk	0.0681953
Bibby	0.0680404
Lafontaine	0.0680168
Neuheisel	0.0680085
Pitney	0.0679814
Bowden	0.0679389
Fuhrman	0.0676208
Harmon	0.0676177
Zarb	0.0675947
))
(Alison (desc 3118.51) (sims
Vicki	0.107368
Kimberly	0.0987848
Irina	0.0956652
Kristin	0.093911
Doris	0.093774
Karenna	0.0933179
colleen	0.0909059
Jill	0.0902958
Cynthia	0.0900761
Eileen	0.089879
Pam	0.0895679
Patricia	0.0864889
Jennifer	0.0861022
Stephanie	0.0857473
Christine	0.0835909
Julie	0.0830495
Lori	0.0826265
Jeanne	0.0818138
Michelle	0.0817061
Valerie	0.081013
Laurie	0.0807775
alicia	0.0805641
Beth	0.0802741
Renee	0.0799052
Kathleen	0.0793262
Maureen	0.0787045
Melanie	0.0786206
Debbie	0.0780059
Alexandra	0.0779509
Edith	0.0778258
Sonia	0.0777063
Phyllis	0.077225
Nora	0.0771819
Lyn	0.0770224
Evelyn	0.0769876
Christina	0.0769567
Natalie	0.0768396
Brooke	0.0767734
Amanda	0.0766537
Suzanne	0.0763937
Camille	0.0760998
Olga	0.0760735
Polly	0.0757551
Connie	0.0757519
Cheryl	0.075302
Juanita	0.0751288
Tina	0.0751043
Jamie	0.0745872
Neil	0.0741355
becky	0.0738363
Esther	0.0736814
Andrea	0.0736481
"Karenna Gore Schiff"	0.0733497
Peggy	0.0731461
Jacqueline	0.0724303
Donna	0.0720571
Lisa	0.0719322
Beatrice	0.0713857
Linda	0.0711505
Janet	0.0711072
Millie	0.0708747
Erin	0.0708538
Gail	0.0707131
Pauline	0.0706344
Nicole	0.070281
Nancy	0.0702096
Carolyn	0.0701121
Cindy	0.069959
Mandy	0.0699052
Caroline	0.0698881
Frances	0.0697754
Sylvia	0.0697664
Lois	0.0696027
"Graca Machel"	0.0695138
"Azizah Ismail"	0.0692496
Jackie	0.069192
JoAnne	0.0691739
Rachel	0.0690216
Michele	0.0689851
Tracey	0.0687351
Elena	0.0684788
Katie	0.0684049
Amy	0.0681699
Kathy	0.0680164
Elaine	0.0680046
Olivia	0.0679517
Monique	0.067665
Lynne	0.067125
Vanessa	0.0671008
Margaret	0.0670161
Saul	0.0669907
Judy	0.0668592
Sara	0.066853
Dorothy	0.0667385
Eleanor	0.0666164
Liz	0.0665612
Beverly	0.0662355
Maria	0.0660959
Theresa	0.0660694
Robin	0.0657136
Karen	0.0656811
Lynn	0.0654657
Marianne	0.065199
Brenda	0.0650163
Cherie	0.0648815
Erica	0.0647401
Julia	0.0646743
Diane	0.0644592
Courtney	0.0638882
Gillian	0.0637059
Shirley	0.0636358
Teresa	0.063616
Sheryl	0.063478
Terri	0.0630959
Audrey	0.0630574
Ellen	0.0629532
Annie	0.0625575
Marlene	0.0624946
Colette	0.062336
Betsy	0.0623317
Toni	0.0620927
Cathy	0.0619239
Danielle	0.0615769
Megan	0.0615463
Ashley	0.0614835
Helen	0.0609308
Hadassah	0.0606279
Susan	0.060481
Laura	0.0604504
Meg	0.0601857
Kay	0.0600681
Juli	0.0599543
Leah	0.0598865
Kathryn	0.0598099
"Leigh Ann"	0.0596501
Stacy	0.0594235
Anne	0.0593829
Barbara	0.0590862
Melissa	0.0589927
Sarah	0.0588899
Rhonda	0.0586899
Marilyn	0.0586615
Ron	0.0585851
ANN	0.0582808
"Chelsea Clinton"	0.0580782
Sandra	0.0579589
Judith	0.0578662
Katherine	0.0577797
Meredith	0.0577761
Lydia	0.0577061
Tammy	0.0575862
Carol	0.0569251
Phil	0.0564602
Debra	0.0563006
Martha	0.0562613
Granik	0.0562479
Molly	0.0561174
"Laura Bush"	0.0560184
"Carolyn Bessette Kennedy"	0.0557632
Shannon	0.0557351
Marian	0.0557025
Marcia	0.0556729
Jake	0.0555029
Betty	0.0553193
Marisleysis	0.0553079
Rebecca	0.0550673
Miriam	0.0550306
hazel	0.0549564
Fran	0.0547836
Paula	0.0545671
Jessica	0.0545456
Jenny	0.0545303
Jenna	0.0545249
heather	0.0543535
Stella	0.054277
Sophie	0.0542145
Cepeda	0.0541343
Nina	0.0539552
Angela	0.0539173
Gina	0.0538246
Claire	0.0537788
Christie	0.0535007
Jeremiah	0.0530337
Lola	0.0528855
Espinoza	0.0526444
Vera	0.052507
Josephine	0.0523552
Leslie	0.0522567
Nate	0.0521581
Janice	0.0520013
Hadley	0.0514257
ISABEL	0.0513531
Warren	0.0511113
Ruth	0.0509996
daphne	0.0509654
Kate	0.050833
Amelia	0.0507001
Lucille	0.050317
ALLISON	0.050121
Irene	0.0500018
))
(Alitalia (desc 3893.5) (sims
KLM	0.266118
Lufthansa	0.241845
Iberia	0.235982
Swissair	0.230047
"Air France"	0.214974
Qantas	0.200798
"British Airways"	0.191694
JAT	0.190975
Aeroflot	0.185852
Sabena	0.183463
"Japan Airlines"	0.180798
"Cathay Pacific"	0.177908
"El Al"	0.175538
"Air Lanka"	0.164608
Varig	0.152863
"Virgin Atlantic"	0.150005
EgyptAir	0.138907
"American Airlines"	0.137309
Garuda	0.135586
"South African Airways"	0.133593
"Singapore Airlines"	0.131441
"China Southern Airlines"	0.130188
"Air China"	0.128993
"KLM Royal Dutch Airlines"	0.127156
"Northwest Airlines"	0.127108
TWA	0.125686
"Thai Airways"	0.12479
"United Airlines"	0.121274
JAL	0.114754
"Kenya Airways"	0.108443
"Continental Airlines"	0.108386
"Turkish Airlines"	0.103722
"America West"	0.102933
"US Airways"	0.10233
USAir	0.10179
"Gulf Air"	0.10125
Comair	0.100734
"Delta Air Lines"	0.0993415
"Alaska Airlines"	0.0991886
continental	0.0990648
"China Airlines"	0.0971795
"Cathay Pacific Airways"	0.0955609
"Southwest Airlines"	0.0950756
"Air Canada"	0.0937978
delta	0.0934014
"Korean Air"	0.0914724
Aeromexico	0.0899596
"Trans World Airlines"	0.0872137
"Indian Airlines"	0.0871203
"Philippine Airlines"	0.0854478
Airlines	0.0847604
"Delta Airlines"	0.084146
"Air India"	0.0839309
SAA	0.080877
"America West Airlines"	0.0794321
Railtrack	0.0793301
Cathay	0.0781166
"Vivendi SA"	0.0768557
"Pan Am"	0.0766724
"Max Biaggi"	0.0751864
JetBlue	0.0751835
Mig	0.0749485
"Star Alliance"	0.0747428
AIRTRAN	0.0742915
"Ethiopian Airlines"	0.0734045
Airbus	0.073135
turboprop	0.0729921
MEA	0.0720506
Biman	0.071736
"China Eastern Airlines"	0.0705224
UAL	0.0698021
"Airbus A@@@"	0.0692545
"Fiona May"	0.0686281
Fedex	0.0677723
"Renzo Furlan"	0.0676975
"British Aerospace"	0.065666
"Luna Rossa"	0.0653643
DC-@@	0.0641556
Ansett	0.063745
Sera	0.0628074
"Consolidated Edison"	0.0621439
"British Telecom"	0.0619103
"France Telecom"	0.0609795
"Francesco Casagrande"	0.0609678
"Alberto Tomba"	0.0604872
"United Parcel Service"	0.0603383
"Canadian Airlines"	0.0600209
A-@@@	0.0594604
"Air New Zealand"	0.059286
"Vietnam Airlines"	0.0589972
widebody	0.0586617
TU-@@@	0.0583958
C-@@	0.0583051
"Bell Atlantic"	0.0577051
"MCI Worldcom Inc."	0.0569873
Bertelsmann	0.0569467
"Deutsche Telekom"	0.0569327
"Pac Bell"	0.0568501
"Air France Concorde"	0.0567909
Concorde	0.0567062
"Eastern Airlines"	0.0565547
Siemens	0.0561852
"Culture Ministry"	0.0560331
"Gianfranco Zola"	0.0558389
TAZARA	0.0555597
"Niagara Mohawk"	0.0553262
Kodak	0.0550754
Renault	0.0548398
Lamborghini	0.0548072
Harrier	0.0546183
"Bell Atlantic Corp."	0.0545772
A@@@	0.054203
AGL	0.0541146
"Reno Air"	0.0540739
"Siemens AG"	0.0537637
Corning	0.0536997
Fiat	0.0534036
MD	0.0533642
"Con Ed"	0.0533452
Electrolux	0.0531198
Ba	0.0524746
Qwest	0.0522444
"Deborah Compagnoni"	0.051982
DaimlerChrysler	0.0519559
"Gianluca Pagliuca"	0.051949
Telefonica	0.0517797
"Nissan Motor Co."	0.0517232
Warner-Lambert	0.0516331
SAS	0.0514564
"Gianluca Vialli"	0.051334
Prowler	0.0513191
Il-@@	0.0513159
GTE	0.0513058
"blue angel"	0.0512383
"Isolde Kostner"	0.0510051
Verizon	0.0508873
"USA Networks"	0.050795
NTT	0.0507791
Comcast	0.0506596
Agip	0.0505817
Emery	0.0505758
WebMD	0.0504698
Daimler-Chrysler	0.0500958
McKesson	0.0500649
roundtrip	0.0498729
Dragonair	0.049845
ISTAT	0.0497845
A@@@-@@@	0.0497456
"Olympic Committee"	0.0497228
Daiwa	0.0496053
"HBO &AMP; Co."	0.0494579
Lockheed	0.049415
"Federal Express"	0.0493905
"Mario Cipollini"	0.0493025
"Malaysia Airlines"	0.0490885
"phone company"	0.048882
"American eagle"	0.0488779
X-@@	0.0487497
"Telecom Italia"	0.0487494
redeye	0.0486276
Yorktown	0.0485635
Imperatori	0.0483555
"Royal Air Force"	0.0483292
AWACS	0.048265
MCI	0.0480513
"McDonnell Douglas"	0.0479968
Scientific-Atlanta	0.0478724
MD-@@	0.0478628
Cessna	0.047774
Gulfstream	0.0476228
emirate	0.0476021
"P&AMP;G"	0.0475563
"American Express"	0.0475074
DirecTV	0.0473711
LTCB	0.0473083
"Tribune Co."	0.0471575
Starwood	0.0470462
"U.S. Air Force"	0.0469369
"WorldCom Inc."	0.0468649
MTA	0.0467445
KPN	0.0467012
Nikko	0.0465917
"Federated Department Stores"	0.0465718
Ana	0.0462986
"Royal Dutch/Shell"	0.0462458
"News Corp."	0.0460152
"Chevron Corp."	0.0458983
Hasbro	0.0458602
Eni	0.0456732
SIA	0.0455745
"Gianluca Pozzi"	0.0453984
"Renato Ruggiero"	0.0452681
"Justice Ministry"	0.0450648
PictureTel	0.0447491
SBC	0.044704
"Sprint Corp."	0.0445855
Cisco	0.0444722
RJR	0.04447
Raytheon	0.0444451
SU-@@	0.0442499
))
(Aliyev (desc 1653.24) (sims
Akayev	0.181817
Guterres	0.180502
Kasoulides	0.178977
Niyazov	0.174811
Phieu	0.172127
Velayati	0.16969
Lipponen	0.169225
Zou	0.163138
Wolfensohn	0.159672
Azad	0.159298
Nazarbayev	0.159183
Rifkind	0.159074
Nujoma	0.159055
Sumaye	0.15836
Stoyanov	0.15635
Ikeda	0.151227
Grachev	0.150005
Moratinos	0.149588
Granic	0.14887
Pangalos	0.148264
Mkapa	0.147817
Komura	0.147503
Cem	0.145979
Diouf	0.145196
Constantinescu	0.140543
Karimov	0.140405
Qiao	0.140277
Klima	0.139619
Meguid	0.139225
Rong	0.139133
Kumaratunga	0.137705
Chissano	0.13701
Axworthy	0.136487
Jovanovic	0.134904
"de Charette"	0.133676
Scalfaro	0.133644
Kok	0.131935
Menem	0.130291
Jayakumar	0.129777
"De Soto"	0.129209
LeBlanc	0.127905
Hasina	0.127506
Ahtisaari	0.12648
Nasrallah	0.126369
Goh	0.126297
Abdel-Meguid	0.125816
Kostov	0.125619
Bolger	0.125086
Surin	0.125082
Ogata	0.12466
Weizman	0.124569
Kwasniewski	0.12319
Vasile	0.122561
Museveni	0.122217
Kuchma	0.121827
Vollebaek	0.12124
Aliev	0.120474
Ben-Ami	0.120414
Kharrazi	0.120382
Rakhmonov	0.119545
Zuma	0.119465
Banharn	0.119386
Narayanan	0.119296
Frei	0.119171
Kono	0.118476
Luong	0.117867
Brundtland	0.11753
Pickering	0.116621
Rau	0.115485
Deuba	0.115279
Pustovoitenko	0.115272
Dini	0.115242
"Prime Minister Banharn Silpa-Archa"	0.114409
Chavalit	0.113986
Xiong	0.113708
Juncker	0.113608
Shevardnadze	0.113341
Muluzi	0.112976
Papandreou	0.112576
Rodionov	0.111691
Hu	0.111562
Kinkel	0.110921
Ingraham	0.110511
Brahimi	0.110364
Gowda	0.110172
"Maung Aye"	0.109427
Buzek	0.109235
Santer	0.108756
Khai	0.108412
Sampaio	0.108296
Schuessel	0.10784
Camdessus	0.107529
Herzog	0.107498
Hamad	0.106891
Indyk	0.106416
Nebiolo	0.106335
"Speaker Ali Akbar Nateq-Nouri"	0.105944
Erbakan	0.105655
Kazhegeldin	0.104936
Clerides	0.104868
Tsang	0.104582
Brittan	0.104332
Gujral	0.10401
Tian	0.10397
Koo	0.103461
Zeng	0.103235
wen	0.102048
Jia	0.101872
Aznar	0.101528
Qian	0.101426
Kabariti	0.1014
Demirel	0.101362
Hanley	0.100941
Samper	0.100624
Wei	0.100467
Ruehe	0.100348
Bedie	0.0998884
Sergeyev	0.0997739
Zhirinovsky	0.0995461
Vedrine	0.0991665
Holl	0.0990661
Iliescu	0.0986226
Sakakibara	0.09832
Seleznyov	0.0982689
Tudjman	0.0979723
Klestil	0.0979683
Siazon	0.0973507
Kissinger	0.0972703
Tung	0.0971449
Berri	0.0971394
Nateq-Nouri	0.0968753
Ganzouri	0.0967873
Bondevik	0.0966517
Hashimoto	0.0965451
Khaddam	0.0961208
Cavanaugh	0.0959582
Salim	0.0958797
Masire	0.0957007
Koehler	0.0956197
Mbeki	0.0953243
Wahid	0.0952663
Ghali	0.094739
Kyprianou	0.0941994
Majali	0.0941282
Lahoud	0.0940477
Leung	0.0940313
Alarcon	0.0939372
al-Sahaf	0.0939051
Advani	0.0934022
Nzo	0.0932426
Chuan	0.0930055
Donohue	0.092975
Beazley	0.092818
Hrawi	0.0927304
Shareh	0.0926235
Hariri	0.0925774
Abbas	0.0924747
Chi	0.0923237
Orban	0.0922313
Dehaene	0.0918323
Bruton	0.0915448
"Than Shwe"	0.0915044
Leghari	0.0911671
"President Lee Teng-hui"	0.0911546
Patasse	0.091056
Solana	0.0909551
Westendorp	0.090652
Zeroual	0.0904407
Ecevit	0.090226
Rawlings	0.0900541
Bellamy	0.0900225
Kesri	0.0898537
Ciampi	0.0898158
Saleh	0.0896343
Kavan	0.0893594
Fino	0.0892025
tang	0.089004
Insulza	0.0889926
Havel	0.0889316
Aziz	0.0887513
Shi	0.0885907
"Yoshiro Mori"	0.0883304
Conte	0.0882196
Fu	0.0881694
Hindery	0.0879164
Habib	0.0877093
Gurirab	0.0876519
Boueiz	0.0874662
Gutman	0.0874113
Jiang	0.0872498
Gaddafi	0.0870481
Ikimi	0.087019
Malu	0.0870078
Ivanov	0.0868812
"Li Peng"	0.0867898
"Pope John Paul"	0.0867065
Ahern	0.0864708
Ekeus	0.0862735
Kagame	0.0862138
Prueher	0.0861895
))
(all (desc 453534) (sims
some	0.147581
most	0.143742
many	0.132278
people	0.130208
thing	0.126576
those	0.121186
it	0.12057
everyone	0.118533
that	0.11809
time	0.116473
one	0.116223
any	0.114112
everything	0.112135
lot	0.111216
this	0.110457
much	0.110081
two	0.107229
more	0.10642
everybody	0.103192
both	0.102642
number	0.102073
life	0.099333
part	0.098645
you	0.0965829
Three	0.096013
them	0.095757
kind	0.0957048
point	0.0946078
game	0.0943779
something	0.0943281
rest	0.0940691
none	0.0938294
anyone	0.0936717
anything	0.0935589
American	0.0929597
woman	0.0928396
country	0.0928365
work	0.0926805
first	0.0921121
man	0.0919686
player	0.0913268
others	0.0911846
moment	0.0908384
each	0.0907463
family	0.0905066
half	0.0897679
child	0.0891624
world	0.0880284
team	0.088013
me	0.0872803
four	0.0867845
company	0.0864384
community	0.085269
last	0.0852394
us	0.0840724
business	0.0840676
kid	0.0839761
guy	0.0837652
these	0.0836634
they	0.0834466
group	0.0833862
level	0.0831459
nothing	0.0830189
home	0.0826073
what	0.0826033
event	0.0823887
place	0.0822749
nation	0.0819082
party	0.0817657
issue	0.0816838
state	0.0811618
someone	0.0809946
public	0.080942
problem	0.0808708
member	0.0808354
school	0.0807126
money	0.0805954
result	0.0802275
government	0.0799451
dozen	0.0795199
majority	0.0793818
him	0.0793367
student	0.079135
which	0.0791169
hundred	0.0788721
year	0.0788451
story	0.0786295
Six	0.0785608
show	0.0784811
Five	0.0780174
job	0.0779349
fan	0.0778646
area	0.0778221
program	0.077751
right	0.0776982
worker	0.0776436
resident	0.0775727
idea	0.0772551
system	0.0771825
case	0.0770844
side	0.077066
question	0.0770105
person	0.076782
thousand	0.0767084
market	0.076622
end	0.0764294
parent	0.0764078
amount	0.0760853
history	0.0757639
couple	0.0754212
change	0.075336
site	0.0749536
little	0.0748888
"about @@ percent"	0.0746557
fact	0.0745865
ones	0.0745611
industry	0.0744163
start	0.0742694
situation	0.0742612
he	0.0742092
citizen	0.0742088
stuff	0.0741395
voter	0.0737555
record	0.0735249
we	0.0734639
generation	0.0734344
type	0.07331
series	0.0732299
book	0.0731985
movie	0.0731439
while	0.0730939
official	0.0728479
million	0.0728002
individual	0.0727613
employee	0.0725605
enough	0.0724779
customer	0.0723238
product	0.0722873
development	0.0722218
thought	0.0720903
leader	0.0720234
matter	0.0719295
future	0.0719292
heart	0.0719099
house	0.0718889
patient	0.0717835
anybody	0.0715952
word	0.0711035
city	0.0711011
loss	0.070999
name	0.070908
Clinton	0.0708273
seven	0.0707461
price	0.0707302
information	0.0705822
film	0.0704806
service	0.0704792
plan	0.0703418
friend	0.0702664
meeting	0.0699637
Republican	0.0699187
investor	0.0699113
well	0.0698146
piece	0.0696649
list	0.0694854
experience	0.0694664
audience	0.0694452
now	0.069433
position	0.0694325
cost	0.0694313
President	0.0693021
day	0.0691998
effort	0.0691068
image	0.0690337
process	0.0689733
organization	0.0689111
society	0.0688832
way	0.0688692
play	0.0688406
race	0.0687852
no	0.0686533
music	0.0683324
decision	0.0682612
success	0.0682278
total	0.0681938
age	0.0680954
girl	0.0680938
talk	0.0679571
China	0.0679495
period	0.0678318
consumer	0.0677915
sort	0.0677275
goal	0.0677261
economy	0.0675907
need	0.0675013
course	0.0674253
car	0.0673888
I	0.067282
politics	0.0671909
Bush	0.0670384
))
("all clear" (desc 1267.89) (sims
thumbs-up	0.142942
SOS	0.137176
fillip	0.129881
"blank check"	0.116381
"carte blanche"	0.106296
send-off	0.0983569
"goose bumps"	0.0981461
"speeding ticket"	0.0964882
"death knell"	0.0959535
"morse code"	0.0958513
alarmist	0.093199
"breathing space"	0.0910872
"birthday present"	0.090888
"cold shoulder"	0.0882314
okay	0.0826713
"bill of health"	0.0821866
crosswalk	0.0821775
preachy	0.0816812
goosebumps	0.0811571
"clean slate"	0.080646
Lowdown	0.0791962
"short shrift"	0.0788096
sendoff	0.0778857
"tax treatment"	0.0754796
"positive feedback"	0.0751784
"breathing room"	0.0746067
"power of attorney"	0.0745461
"coat of paint"	0.073533
"honorable mention"	0.0728974
"free rein"	0.0726716
smooch	0.0712903
go-ahead	0.0712477
outta	0.0711576
"alarm bell"	0.0709799
hyper	0.0705042
EKG	0.0702802
inkling	0.0702142
agnostic	0.0696167
"electric shock"	0.0695808
eye-opening	0.0692057
"warning signal"	0.0682353
"pain in the neck"	0.0681204
richer	0.0672953
"distress signal"	0.0668798
"seal of approval"	0.0661907
IOU	0.0655054
receptivity	0.0646369
"Happy Birthday"	0.0645816
"Christmas present"	0.064495
"elbow room"	0.0638195
GOIN	0.06354
"one million dollars"	0.0630079
"inside track"	0.062506
dispensation	0.0623631
"top billing"	0.0619386
"history lesson"	0.0615974
"day of rest"	0.0611275
earful	0.0605558
facelift	0.0604193
toss-up	0.0598696
"inside information"	0.0592279
Hokey	0.0587252
zodiac	0.0578851
picky	0.0575831
"stay of execution"	0.0572741
lied	0.0569519
commendation	0.0564627
loony	0.0562672
"green light"	0.0560777
"Medal of Honor"	0.0554999
breather	0.0553728
"medical checkup"	0.0553404
"face lift"	0.0552701
Gilead	0.0551136
"throwing away"	0.0549462
heartening	0.0547838
"death warrant"	0.0546496
HDTV	0.0546178
queer	0.0545956
"bear hug"	0.0544195
"Dallas Burn"	0.0542923
well-positioned	0.0542618
kudos	0.0542566
"little brother"	0.0539383
"radio wave"	0.0537867
analogue	0.0531868
"black eye"	0.0530796
oomph	0.053058
"fresh start"	0.0529374
"parking ticket"	0.0528905
"death benefit"	0.0527257
spanking	0.0525942
easier	0.0524665
"airplane ticket"	0.0522956
JAT	0.0522253
enticement	0.0522013
imprimatur	0.0521596
"kick start"	0.0521357
XYLAN	0.0520259
"sneak preview"	0.0516353
high-fives	0.0516197
transfusion	0.0515782
harder	0.0511781
comeuppance	0.0511489
hard-wired	0.0510535
Hi	0.0509251
"birthday gift"	0.0508318
TPA	0.0503135
apex	0.0500551
"hard sell"	0.0500146
"form letter"	0.0499627
guessing	0.0497435
"engagement ring"	0.0496945
wherewithal	0.0496541
captaincy	0.049602
bigger	0.0495935
Luddite	0.0488635
"first aid"	0.0487919
CPR	0.048745
absolution	0.0485828
"three words"	0.0485085
"one million yuan"	0.0484344
reprieve	0.0484327
"boarding pass"	0.0480925
"annual payment"	0.0480085
Berliner	0.0479966
"British government"	0.047851
BLUETOOTH	0.0478345
"marriage license"	0.0478297
Anelka	0.0478143
"progress report"	0.0478098
"sonic boom"	0.0477963
"set point"	0.0475984
obeisance	0.0475602
endoscope	0.0474901
culpa	0.0474516
placebo	0.0474065
"time of day"	0.0471926
"preferred stock"	0.0471471
assent	0.0470567
"high time"	0.0470453
"honorary degree"	0.0469997
"lip service"	0.0469934
resuscitation	0.0467529
handout	0.0466817
defibrillator	0.0466787
feeler	0.0466213
"name and address"	0.0460956
"eye opener"	0.0460889
whipping	0.0460042
beeper	0.045876
leptin	0.0457725
physicals	0.0453674
godsend	0.0453033
shocker	0.0452452
readout	0.0451893
Yashin	0.0451441
"work permit"	0.0450388
toehold	0.0449618
summons	0.044882
up-and-down	0.0448307
benediction	0.0448022
"Calgary Flames"	0.0447849
Chemo	0.0447597
extortionist	0.0447055
"waiting game"	0.0446927
here.	0.0445855
"piano lesson"	0.0444786
"membership card"	0.0444339
"stump speech"	0.0442212
admonition	0.0441978
"Ethics Commission"	0.04419
"Doug Christie"	0.0441681
Titov	0.0440248
walkover	0.0439442
sedative	0.043838
"background noise"	0.0437259
go-slow	0.0436967
guidepost	0.0436631
"Purple Heart"	0.0436127
"cash bonus"	0.0436102
API	0.0434266
stipend	0.0434077
yea	0.043369
"marriage proposal"	0.0432359
"white person"	0.0431916
acquirer	0.0431717
"first word"	0.0430003
"human face"	0.0429936
turnoff	0.0429206
Smyers	0.04279
egomaniac	0.0427732
Grounding	0.0427528
"measuring stick"	0.0426672
"inferiority complex"	0.0426475
facsimile	0.0425211
"hard copy"	0.0424977
Cs	0.0424789
"medical examination"	0.0424745
"work group"	0.0424661
))
(All-America (desc 7572.16) (sims
All-American	0.29905
All-Pro	0.239885
All-Americans	0.1325
"Pro Bowl"	0.130227
standout	0.120314
All-Star	0.111129
"NBA All-Star"	0.10154
"honorable mention"	0.101079
MVP	0.0913659
rookie	0.0888192
redshirt	0.0823404
legit	0.080495
"first team"	0.0755978
"most valuable player"	0.0745518
fifth-year	0.0729817
Olympian	0.0727584
"Gold Glove"	0.0722045
nine-time	0.0716892
"Pro Bowler"	0.0715351
freshman	0.0710873
"Heisman Trophy"	0.070548
walk-on	0.070294
varsity	0.0692882
"Defensive Player"	0.0686225
prep	0.0676976
"Hall of Fame"	0.0664668
No.@	0.0652591
sought-after	0.0650211
Heisman	0.0643562
journeyman	0.0642301
backup	0.0630794
FSU	0.0630745
top-@@	0.0628779
"baseball coach"	0.062657
"second best"	0.0618074
"Texas longhorn"	0.0610821
"junior college"	0.0607396
junior	0.0604965
three-time	0.0583197
linebacker	0.0582193
"U.S. Olympic"	0.0579939
veep	0.0579426
Seahawk	0.0576844
"free agent"	0.0572755
"basketball player"	0.0560247
"other nine"	0.0558703
freshmen	0.0557729
gopher	0.0554655
"Phenix City"	0.0547107
marquee	0.0545505
lineman	0.0542232
"Detroit Lions"	0.0541903
"big time"	0.054153
"Cal State Northridge"	0.0534265
"Big East"	0.0532827
Knick	0.0530386
buckeye	0.0524243
"Florida State"	0.0521688
bronco	0.0516614
quarterfinalist	0.0515257
peewee	0.0513982
runner-up	0.0509114
four-time	0.0505722
"Ohio State"	0.0501416
five-time	0.0501105
valedictorian	0.0500049
"basketball coach"	0.0498392
"Paul Justin"	0.0497475
"Arena League"	0.0497328
sophomore	0.049631
semifinalist	0.0495469
standouts	0.0484424
coaching	0.0482034
"the very best"	0.0481236
niner	0.0480052
pinup	0.0479959
scorer	0.0479767
hotshot	0.0479617
USC	0.0479473
"University of Connecticut"	0.0477425
"Top @@"	0.047717
write-in	0.0476435
"Chicago Bears"	0.0475977
"Southern Cal"	0.0475333
Redskin	0.0475246
well-respected	0.0473369
swingman	0.0472893
superstar	0.047235
claimer	0.0468847
multimillionaire	0.0466056
tailback	0.0464035
"Oakland Raiders"	0.0461225
"North Carolina State"	0.0460182
up-and-down	0.0458964
runnerup	0.0458165
"other eight"	0.045623
"other five"	0.0454293
"Arizona State"	0.045304
"Boston College"	0.0450124
six-time	0.0449184
Laker	0.0448796
phenom	0.0447861
Grambling	0.0447338
"matinee idol"	0.0446216
"Screen Actors Guild"	0.0443873
highschool	0.0442863
paraplegic	0.0437789
"Tennessee Titans"	0.0436539
"Georgia Tech"	0.0436283
"New York Jets"	0.0435618
"English teacher"	0.0434654
cornerback	0.043375
VP	0.0432921
helluva	0.043261
"Cincinnati Bengals"	0.0431928
Pac-@@	0.0431634
bulldog	0.0431274
"line coach"	0.0429222
"Top @"	0.0429219
matador	0.0428102
third-down	0.0428016
finalist	0.0427552
workhorse	0.0425215
"football coach"	0.0424963
"European Tour"	0.0424393
"good person"	0.0422943
Sephardic	0.0419993
"NFL Europe"	0.0419596
Kicker	0.0417931
ASU	0.0417642
halfback	0.0413324
wildcat	0.0412222
UConn	0.0409598
miler	0.0409228
Raven	0.0408111
"Chinese Olympic"	0.0407402
"Ron Artest"	0.0406016
"minor league"	0.0404967
"Dallas Cowboys"	0.0403904
"important person"	0.0403856
Trojan	0.0403158
record-holder	0.04029
"New York Giants"	0.0402787
"shot putter"	0.0402755
knighthood	0.0401965
"professional basketball"	0.0400815
world-class	0.0400166
"prima donna"	0.0400085
"Western Athletic Conference"	0.0400007
))
(All-American (desc 25223.5) (sims
All-America	0.29905
All-Americans	0.148166
All-Pro	0.131169
standout	0.110045
All-Star	0.104405
freshman	0.102864
MVP	0.0956709
linebacker	0.095168
sophomore	0.0951132
"NBA All-Star"	0.0933854
walk-on	0.0888732
junior	0.0866015
rookie	0.0847908
"most valuable player"	0.0841387
quarterback	0.0825104
lineman	0.0819915
"Pro Bowl"	0.0806355
"basketball player"	0.079465
senior	0.079105
scorer	0.07851
"basketball coach"	0.07823
Olympian	0.0766417
"running back"	0.0751454
"Heisman Trophy"	0.0715058
tailback	0.0712372
"football player"	0.0705688
"Pro Bowler"	0.0704564
"football coach"	0.0696826
receiver	0.0665612
guard	0.0649268
starter	0.0643883
rusher	0.0637491
fullback	0.0622772
"free agent"	0.0622606
assistant	0.0619212
cornerback	0.0609387
"Gold Glove"	0.0606867
"coaching job"	0.0602516
tackle	0.0595023
backup	0.0592468
"Defensive Player"	0.0590058
"No. @"	0.0576022
selection	0.0567325
journeyman	0.0565337
"Big East"	0.0563177
"tight end"	0.055915
"baseball coach"	0.0557245
freshmen	0.0553144
No.@	0.0550323
USC	0.0549415
"Khalid El-Amin"	0.0543964
passer	0.0536106
Heisman	0.0533557
redshirt	0.053039
"Richard Hamilton"	0.0524127
"first team"	0.0521337
teammate	0.0520318
"Elton Brand"	0.0517818
valedictorian	0.0515856
athlete	0.0514818
varsity	0.0512851
swingman	0.0512292
rebounder	0.0511385
tackler	0.0510631
coaching	0.0510189
shooter	0.0509119
UCLA	0.0506068
prep	0.0499714
finalist	0.0495437
football	0.0493664
superstar	0.0488156
basketball	0.0482429
highschool	0.047993
defensive	0.0479466
"Hall of Fame"	0.0478829
medalist	0.047433
coordinator	0.0470238
standouts	0.04684
linemen	0.0468155
runner-up	0.0468022
Pac-@@	0.0464993
"junior college"	0.0463972
"Florida State"	0.0461864
cheerleader	0.0461255
bruin	0.0460626
"major leaguer"	0.0458817
Laker	0.0458022
"role player"	0.0455684
Kicker	0.0454946
TDs	0.0453257
champ	0.045114
marquee	0.0449444
"English teacher"	0.0447969
"Andre Miller"	0.0447767
Redskin	0.0447406
cowboy	0.044265
"road game"	0.04419
"baseball player"	0.0440528
BYU	0.043944
husky	0.0436308
"good person"	0.0435078
Irish	0.0434271
cardinal	0.0432143
"second best"	0.0430191
wrestler	0.0429731
runner	0.0429612
hotshot	0.0429173
captain	0.0428211
three-time	0.0427009
record-holder	0.0426825
"Chamique Holdsclaw"	0.0424645
"big time"	0.0424591
punter	0.0424224
"Ohio State"	0.0421537
Asian-American	0.0420657
dropout	0.0419752
quadriplegic	0.0419632
hippie	0.0419603
swimmer	0.0419163
matador	0.0418218
"Penn State"	0.0416862
roommate	0.0415753
"movie star"	0.0415167
scholarship	0.0414723
pro	0.0414634
"Notre Dame"	0.041374
gridiron	0.0412001
halfback	0.0411977
"basketball team"	0.0411429
phenom	0.0410927
returner	0.0410184
All-stars	0.0409481
Knick	0.0409457
"Jason Terry"	0.0409264
patriot	0.0408539
sprinter	0.0406543
bronco	0.0405831
golfer	0.0404923
"hockey player"	0.0404521
"William Avery"	0.040427
ASU	0.0404226
buckeye	0.0400191
))
(All-Americans (desc 3504.63) (sims
All-American	0.148166
All-America	0.1325
All-stars	0.120203
"Pro Bowls"	0.11948
"All-Star Games"	0.111762
signees	0.110202
great-grandchildren	0.104625
"Final Fours"	0.103376
"No. @s"	0.103163
standouts	0.102739
firsts	0.10241
linemen	0.102384
freshmen	0.100289
"major-league team"	0.0996617
crewmembers	0.0964649
no-decisions	0.0949835
B-@s	0.0927805
"major leaguer"	0.0907184
"Super Bowls"	0.0900172
upperclassmen	0.0895875
baserunners	0.0889329
par-@s	0.087766
TDs	0.0868875
starts.	0.0862914
takeaways	0.0859413
"basketball player"	0.0858148
QBs	0.0854893
phenoms	0.085274
"Ryder Cups"	0.0832518
cornerbacks	0.0830582
quarterfinalists	0.0829184
"base runner"	0.082716
"role player"	0.0823219
faceoffs	0.0812762
Olympian	0.0810991
wideouts	0.0806279
"Texas Democrats"	0.0805873
"Cy Young Awards"	0.080384
goaltenders	0.0779958
guardsmen	0.0769658
internationals	0.0763111
"foul shot"	0.0763057
lineman	0.0760246
minor-leaguers	0.0753896
tacklers	0.0750905
Opens	0.07446
"political detainee"	0.074145
near-misses	0.0737442
"altar boy"	0.0732639
"football player"	0.0729302
sophomore	0.0726099
"World Cups"	0.0725607
"Baby Bells"	0.0722685
games.	0.072254
playmakers	0.0713962
major-leaguers	0.0712066
deuce	0.070371
A@@@s	0.0701649
inductees	0.0700885
"Darius Miles"	0.0699355
punter	0.0699187
luminary	0.0695133
"British Opens"	0.0693575
rebounders	0.0689961
state-level	0.0688611
linebacker	0.068784
wrestler	0.068387
"break of serve"	0.0682441
fullback	0.0678766
Klansmen	0.0675003
"major league season"	0.0674242
"unearned run"	0.0673503
finisher	0.067328
"U.S. Opens"	0.0671797
honoree	0.0671786
years.	0.0670987
"running play"	0.0668806
Kicker	0.0663772
Tonys	0.0663089
greats	0.0660146
"minor leaguer"	0.0659131
Stealers	0.0657237
record-holder	0.0657058
"baseball coach"	0.0656312
"JEVON KEARSE"	0.0652316
Englishmen	0.0651631
"baseball player"	0.0649446
internationalist	0.0645655
tackler	0.0644667
"over .@@@"	0.0643232
"volleyball player"	0.0639082
semifinalist	0.063693
walk-on	0.0635718
holdover	0.063465
immortal	0.0633998
billionaires	0.0632575
runnings	0.0629202
"Al Harrington"	0.0629163
MiG-@@s	0.0627864
switch-hitter	0.0627783
"Gold Gloves"	0.0627443
seasons.	0.062641
finalist	0.0624585
postseasons	0.0623931
midshipmen	0.0622637
paddler	0.0622411
co-defendants	0.0618586
metropolises	0.0618391
"good person"	0.061773
"Stanley Cups"	0.0616605
collegian	0.0616484
"day of rest"	0.0616212
eateries	0.0614168
"seeded player"	0.0611133
sidebars	0.0610863
"running back"	0.0609839
congressmen	0.0607169
"Chamique Holdsclaw"	0.0604039
"road game"	0.0603873
shuttlers	0.0599968
draftee	0.0599452
MVP	0.0598947
"little leaguer"	0.0595654
vice-chairmen	0.0595042
scorer	0.0594366
sprinter	0.0590127
"Special Economic Zones"	0.0589882
Frenchmen	0.0589721
matchups	0.0588417
medalist	0.0586409
Asian-Americans	0.0585098
hundredth	0.0583055
defensemen	0.058292
gymnast	0.0582869
stepchildren	0.0582644
All-Star	0.058253
standout	0.05825
top-@@	0.0579082
multimillionaires	0.0578959
newsmagazines	0.0576769
"heavy hitter"	0.0573213
spacewalks	0.0572439
swimmer	0.05723
golfer	0.0572241
panelist	0.0572101
headliners	0.0571541
technicals	0.0571499
grandchildren	0.0569081
layups	0.0567311
"first eight"	0.0565483
"English teacher"	0.056437
Concordes	0.0564301
bogy	0.0563597
dropout	0.055933
changeups	0.0558509
indies	0.0558377
"extra points"	0.0558309
midfielders	0.0557132
"service break"	0.0556489
ballgames	0.0556422
skater	0.0554703
nonwhites	0.0552313
"flight of stairs"	0.0551416
match-ups	0.0551002
"foster child"	0.0550363
"earned run"	0.0550182
"tight end"	0.0548761
grad	0.054804
racer	0.0547999
Holdsclaw	0.0546807
miscarriage	0.0546792
airmen	0.0545651
franchisees	0.0545097
fife	0.0543865
alias	0.0543537
runners-up	0.0541548
"New York Democrats"	0.054105
goalie	0.0540264
Dutchmen	0.0539252
curveballs	0.0537912
"supporting players"	0.0536493
punt	0.0536147
"basketball season"	0.0535813
shooter	0.0535524
crewmates	0.0532294
Emmys	0.0532178
"job offer"	0.0531675
castaway	0.0530349
innings.	0.0530203
minicamps	0.0529633
"hockey player"	0.0527824
"Emmy Awards"	0.0526139
mushers	0.0525067
underachiever	0.0524603
highflier	0.0524396
vote-getters	0.0524005
cheerleader	0.0523205
co-leaders	0.0521999
"track star"	0.0520992
"basketball coach"	0.0520742
))
("All-China Federation" (desc 5674.99) (sims
"China Federation"	0.329117
"All-China Youth Federation"	0.241343
"Hong Kong Federation"	0.228392
"China Association for Science"	0.218507
"All-China Journalists Association"	0.176666
"Association for Friendship"	0.163856
"United Front Work Department"	0.160045
"National Committee"	0.158066
"CPPCC National Committee"	0.154947
ACFTU	0.149439
"Publicity Department"	0.14937
"China Council"	0.145313
"China Society"	0.141813
"Central Military Commission"	0.139911
"China Securities Regulatory Commission"	0.139812
"State Education Commission"	0.136511
"Beijing Municipal Government"	0.135523
"Ministry of Supervision"	0.135284
"State Planning Commission"	0.135068
"Organization Department"	0.134055
"Propaganda Department"	0.133984
"Ministry of Public Security"	0.130044
"Ministry of Culture"	0.127991
"Central Committee"	0.126924
"Chinese Olympic Committee"	0.125034
"Ministry of Education"	0.123045
"State Science and Technology Commission"	0.122862
"Ministry of Labor"	0.120924
"Ministry of Foreign Trade and Economic Cooperation"	0.11881
"Chinese People's Political Consultative Conference"	0.118748
federation	0.118047
"Ministry of Personnel"	0.116838
"military commission"	0.116822
"Ministry of Foreign Trade"	0.11635
"State Economic and Trade Commission"	0.116147
"Ministry of Justice"	0.115939
CMC	0.115622
"State Peace and Development Council"	0.11077
"Party School"	0.110369
"Central Commission for Discipline Inspection"	0.108881
"Ministry of Civil Affairs"	0.108013
"Taiwan Affairs Office"	0.107934
"municipal government"	0.106374
"Ministry of Construction"	0.10485
"Ministry of Agriculture"	0.104589
"Congress (NPC) Standing Committee"	0.103592
"Ministry of Public Health"	0.102931
"Ministry of Internal Trade"	0.102875
"Communist Youth League of China"	0.102266
"State Administration of Internal Trade"	0.102244
"Information Office"	0.10087
"Association for Relations Across"	0.100721
"China Youth Development Foundation"	0.0993211
"Ministry of Science"	0.099261
ACWF	0.0989525
"Foreign Affairs Committee"	0.0988698
"CPC Central Commission for Discipline Inspection"	0.0981275
"State Forestry Administration"	0.0979299
"China National Tourism Administration"	0.0971011
"Red Cross Society"	0.0967531
"International Department"	0.0966601
"Political Consultative Conference"	0.0965521
"International Society"	0.09601
"Ministry of Information Industry"	0.0955835
"standing committee"	0.0947163
"Asia Society"	0.09402
"Ministry of Finance"	0.0935241
"Chinese Foreign Ministry"	0.0935
"State Family Planning Commission"	0.0929609
"State Development Planning Commission"	0.0922816
"Chinese Academy of Engineering"	0.0922744
"Cambodian People's Party"	0.0918083
CPAFFC	0.0911306
"Organizing Committee"	0.0907724
"Chinese Academy of Sciences"	0.090753
"Civil Aviation Administration of China"	0.0903964
MOFTEC	0.0902501
"NPC Standing Committee"	0.0894581
"Inter-Parliamentary Union"	0.0890826
"State Administration of Taxation"	0.0888603
"Chinese Society"	0.0884954
"Hong Kong Trade Development Council"	0.0877039
"State Environmental Protection Administration"	0.0869587
"Ministry of Communications"	0.0838895
"Shanghai Municipal Government"	0.0829715
"Congress Standing Committee"	0.0826733
"Chinese Communist Party Central Committee"	0.0823873
CITIC	0.0819402
"Chinese Academy of Social Sciences"	0.081689
CAS	0.0808282
"Beijing Municipal Committee"	0.0805105
"Hong Kong Tourist Association"	0.0804422
CPPCC	0.0796121
"Hong Kong Monetary Authority"	0.0795631
"International Federation"	0.079189
"State Law and Order Restoration Council"	0.0786329
"Ministry of Posts"	0.078509
CIRC	0.0783707
"Olympic Council of Asia"	0.078072
"Agricultural Bank of China"	0.0772942
"Council of State"	0.0767773
"China National Petroleum Corporation"	0.0766397
CCPIT	0.0754855
"Ministry of Health"	0.0751926
"General Political Department"	0.0749005
"Provisional Urban Council"	0.07425
"Socialist Party"	0.0734617
"State Council"	0.07259
"trade union"	0.0725145
ARATS	0.0724155
"chamber of commerce"	0.0720935
"Chinese People"	0.0720764
"CPC Central Committee"	0.0715817
"Communist Party of China"	0.0715175
"Economic Commission for Africa"	0.0712765
"General Administration of Customs"	0.0704972
"Construction Bank of China"	0.0704082
"Bank of China"	0.0701253
"Russian Defense Ministry"	0.0697715
"Agriculture Ministry"	0.0694888
"State Administration of Foreign Exchange"	0.0694511
"Ford Motor Company"	0.0694032
"Public Security Ministry"	0.0693775
Confederation	0.0688584
ESCAP	0.0687952
personage	0.0681593
"Ninth National Committee"	0.0680288
"Development Research Center"	0.0679531
"Chinese State Council"	0.0677914
"Federal Reserve Bank of New York"	0.0675188
"Ding Guangen"	0.0673888
"National Tourism Administration"	0.0672975
"National Democratic Party"	0.0663901
"Ministry of Railways"	0.0655593
"International Brotherhood"	0.0649458
"Ministry of Land"	0.0645293
"American Association of Health Plans"	0.0640238
"Political Bureau"	0.0640155
SPC	0.0639386
"United National Independence Party"	0.0638371
"Academy of Motion Picture Arts"	0.0630852
UNESCO	0.0630637
"United Nations Educational, Scientific and Cultural Organization"	0.063047
CCF	0.0626178
"China Construction Bank"	0.062425
CPC	0.0624238
"Communist Party"	0.0619671
"Russian Duma"	0.0619121
WEF	0.0618724
"Economic and Social Council"	0.0618543
"Texas Department of Public Safety"	0.0618448
"National Association"	0.0618338
Vice-Premier	0.0617868
"National People's Congress"	0.0617009
"Education Ministry"	0.0616895
"Hu Jintao"	0.0616656
"Home Ministry"	0.0615224
TDC	0.0612745
"National Defense Commission"	0.0612351
Secretariat	0.0610847
"Air Line Pilots Association"	0.0609569
"Shi Guangsheng"	0.060839
"National League for Democracy"	0.0605253
"National Federation"	0.0598982
"Dai Bingguo"	0.0598222
"Russian Foreign Ministry"	0.0594426
"Huang Ju"	0.0591931
"Legend Group"	0.0589473
"Eighth National Committee"	0.058879
"Revolutionary Command Council"	0.0588037
"National Abortion and Reproductive Rights Action League"	0.0587446
"U.S. Chamber of Commerce"	0.0584304
"Standard Chartered Bank"	0.0583533
"Provisional Ruling Council"	0.0582279
"Independent National Electoral Commission"	0.0579319
"Democratic National Committee"	0.0577244
"State Administration of Cultural Heritage"	0.057579
"Asian Development Bank"	0.0575236
"Funcinpec Party"	0.0573853
"International Amateur Athletic Federation"	0.0572741
"State Bureau of Environmental Protection"	0.0571226
CSRC	0.0570714
"Board of Investment"	0.0570432
"National Congress"	0.0570001
"Dow Jones &AMP; Co."	0.0568927
"social organization"	0.0568423
"Revolutionary Party"	0.0568223
"National Alliance"	0.0568093
MPLA	0.0567717
Meguid	0.0567196
"Tourism Authority of Thailand"	0.0567065
"Lu Ping"	0.0566694
"Straits Exchange Foundation"	0.056605
"Chinese Communist Party"	0.0565847
"Industrial and Commercial Bank of China"	0.0565816
"United Nations Children's Fund"	0.0565517
"World Jewish Congress"	0.0564847
"Ministry of Water Resources"	0.0563665
"Ministry of Foreign Affairs"	0.0562838
"Xinhua News Agency"	0.0562275
))
("All-China Journalists Association" (desc 1011.61) (sims
"All-China Youth Federation"	0.306767
"Association for Friendship"	0.264937
"China Society"	0.209177
"China Association for Science"	0.200559
"China Council"	0.195995
CPAFFC	0.183082
"Chinese Olympic Committee"	0.181967
"Beijing Municipal Government"	0.178573
ACWF	0.178409
"All-China Federation"	0.176666
"China Youth Development Foundation"	0.166612
CCPIT	0.164285
"Xinhua News Agency"	0.161081
"State Forestry Administration"	0.15949
"Ministry of Foreign Trade and Economic Cooperation"	0.158796
"Ministry of Education"	0.157522
ACFTU	0.156282
"Propaganda Department"	0.15535
"China National Tourism Administration"	0.154308
"Chinese Foreign Ministry"	0.146453
"Association for Relations Across"	0.144076
"Hong Kong Federation"	0.143189
"Ministry of Culture"	0.142876
"International Department"	0.1404
"Shanghai Municipal Government"	0.138669
"China Federation"	0.138493
"Ministry of Supervision"	0.133812
"Ministry of Science"	0.133659
"National Tourism Administration"	0.131306
"Information Office"	0.128516
"Publicity Department"	0.128369
"Ministry of Labor"	0.126064
MOFTEC	0.124217
"Ministry of Public Security"	0.123952
"Ministry of Posts"	0.122095
"Asia Society"	0.121861
FIVB	0.12092
"Ministry of Justice"	0.119529
"Development Research Center"	0.118312
"State Bureau of Environmental Protection"	0.116949
"Inter-Parliamentary Union"	0.116736
"Organization Department"	0.116376
"United Front Work Department"	0.115334
"Ministry of Internal Trade"	0.115154
"Ministry of Interior"	0.115106
"State Administration of Cultural Heritage"	0.114881
"Chinese Society"	0.114506
CITIC	0.113801
"Foreign Affairs Committee"	0.11376
"China National Petroleum Corporation"	0.113369
"State Environmental Protection Administration"	0.111898
"Chinese Academy of Sciences"	0.110991
"Economic Commission for Africa"	0.110772
"Chinese government"	0.107871
"State Education Commission"	0.107807
"Chinese Academy of Social Sciences"	0.107535
"Party School"	0.106612
ECA	0.106588
"Economic Daily"	0.103114
SPC	0.102659
"Red Cross Society"	0.101669
"CPPCC National Committee"	0.100413
"World Jewish Congress"	0.099145
"United Nations Environment Program"	0.0990705
"National Committee"	0.0970884
"Taiwan Affairs Office"	0.0970367
"Ministry of Foreign Trade"	0.0969782
WEF	0.0968083
"State Administration of Internal Trade"	0.0965412
"International Badminton Federation"	0.0959603
"Central Committee"	0.0958159
"Tang Jiaxuan"	0.0953326
"World Economic Forum"	0.0942502
CCTV	0.0936857
"Shi Guangsheng"	0.093472
"Hong Kong Tourist Association"	0.0932972
"Civil Aviation Administration of China"	0.0930902
"Central Commission for Discipline Inspection"	0.092946
"Federal Reserve Bank of New York"	0.0928126
"King Bhumibol Adulyadej"	0.0926065
"China Securities Regulatory Commission"	0.0921294
ARATS	0.0917444
"Greek Orthodox Church"	0.0914542
"Democratic Leadership Council"	0.0911831
"Ministry of Information Industry"	0.0911133
"Cambodian People's Party"	0.0906561
"Ministry of Personnel"	0.0904233
"Securities Industry Association"	0.0889989
"municipal government"	0.0883517
"Department of Trade and Industry"	0.0878996
"Public Security Ministry"	0.0875887
"Thai Foreign Ministry"	0.0874702
"Industry Ministry"	0.0873035
CCF	0.0870772
"State Development Planning Commission"	0.0858921
"Global Environment Facility"	0.0856211
"American Bar Association"	0.0847014
CNOOC	0.0845913
"Shanghai Branch"	0.0841926
"Ministry of Land"	0.0835942
HKTA	0.0830277
"National Council of Churches"	0.0821767
ESCAP	0.0820821
"Southeastern Legal Foundation"	0.0816888
"World Intellectual Property Organization"	0.0812953
"Ministry of Planning"	0.0812632
"Ministry of Finance"	0.080988
"Ministry of Agriculture"	0.0801605
"International Cycling Union"	0.0800896
"China Central Television"	0.0799156
"American Association"	0.0797675
"Economic and Social Council"	0.0797093
"Ministry of Construction"	0.0792987
"European Bank for Reconstruction"	0.0790112
"NPC Standing Committee"	0.078638
"HKSAR Government"	0.0782428
"United Nations Industrial Development Organization"	0.0777252
"United Nations Conference on Trade and Development"	0.0771549
"American Association of Health Plans"	0.0771191
"Ministry of Water Resources"	0.0768569
"College Board"	0.0766093
"Kenya African National Union"	0.076176
"International Amateur Athletics Federation"	0.0760451
"International Society"	0.0755161
"National Abortion and Reproductive Rights Action League"	0.0754907
"Board of Supervisors"	0.0754421
"State Economic and Trade Commission"	0.0752035
"Ministry of Communications"	0.0751595
"Board of Investment"	0.0748591
NEA	0.0747129
CFA	0.074173
"American Petroleum Institute"	0.0740121
"Olympic Council of Asia"	0.0738108
"State Family Planning Commission"	0.0736981
"Center for Strategic"	0.0736674
"State Administration for Industry"	0.0735039
"Fu Quanyou"	0.0732999
CASS	0.0732134
"United Nations Educational, Scientific and Cultural Organization"	0.0729464
"NFL Players Association"	0.0725805
"Gaullist Rally"	0.0724463
"U.N. Development Program"	0.0724421
Eximbank	0.0723905
"Inter-American Development Bank"	0.0721431
"Qinghua University"	0.0719706
"Ministry of Civil Affairs"	0.0719546
CAS	0.0715309
"Australian Olympic Committee"	0.0712972
"International Amateur Athletic Federation"	0.0708845
SCLC	0.070623
"Freedom Forum"	0.0705926
"Wu Yi"	0.0704523
"Federal Council"	0.0701884
"U.S. Soccer Federation"	0.0695894
"Players Association"	0.0692514
"State Planning Commission"	0.0690802
"Legend Group"	0.0685519
"Council on Foreign Relations"	0.0682614
"Ministry of Health"	0.0680969
"University of China"	0.0680079
"Department of State"	0.0679205
CNTA	0.0678397
PBC	0.0677188
"Urban Institute"	0.0673879
"American Heart Association"	0.0673337
"Provisional Urban Council"	0.0671671
"Hong Kong Trade Development Council"	0.067048
"Wen Wei Po"	0.0669692
"National Association"	0.0668325
"International Ski Federation"	0.0665516
"Commission on Presidential Debates"	0.066537
"National Federation"	0.0663965
"United Nations Children's Fund"	0.0661633
"Chinese Academy of Engineering"	0.0659884
"U.N. Environment Program"	0.0659682
"Texas Department of Public Safety"	0.0659125
"United Malays National Organization"	0.0657488
"Sydney Organizing Committee"	0.0655038
ENTREMED	0.0654664
"CBS Sports"	0.0651382
"Ministry of International Trade and Industry"	0.0651313
"International Federation"	0.0645894
"United Nations Educational"	0.0640655
"U.S. Export-Import Bank"	0.0639145
CIRC	0.0636472
"Transparency International"	0.063575
"Republican Leadership Council"	0.0634492
"Rainbow/PUSH Coalition"	0.0634366
"Chi Haotian"	0.063416
MSF	0.0633951
"National Audubon Society"	0.0624954
"Ford Motor Company"	0.0624401
"State Science and Technology Commission"	0.0620487
TDC	0.0620316
"Motion Picture Association of America"	0.0619722
"New Korea Party"	0.061897
"Department of Finance"	0.0618964
"Qian Qichen"	0.0616633
AmCham	0.0615932
"Israeli Embassy"	0.0615776
))
("All-China Youth Federation" (desc 2193.93) (sims
"All-China Journalists Association"	0.306767
"Association for Friendship"	0.253666
"All-China Federation"	0.241343
"China Association for Science"	0.226774
"China Council"	0.202467
ACFTU	0.187306
"China Society"	0.177146
"Hong Kong Federation"	0.176446
"China Federation"	0.175485
"CPPCC National Committee"	0.171552
CPAFFC	0.165137
"Ninth National Committee"	0.163628
ACWF	0.163171
"Beijing Municipal Government"	0.159029
"International Department"	0.158224
"Ministry of Supervision"	0.157159
"Chinese Olympic Committee"	0.155095
"National Committee"	0.153917
CCPIT	0.152
"Foreign Affairs Committee"	0.150747
"Inter-Parliamentary Union"	0.149436
"Hong Kong Trade Development Council"	0.142567
"Chinese People's Political Consultative Conference"	0.142352
"China National Tourism Administration"	0.134999
"Shanghai Municipal Government"	0.133676
"State Forestry Administration"	0.129464
"State Peace and Development Council"	0.125848
"Association for Relations Across"	0.123905
"Beijing Municipal Committee"	0.123855
"Olympic Council of Asia"	0.123509
"Ministry of Education"	0.122199
"Asia Society"	0.12126
"China Youth Development Foundation"	0.11893
"State Education Commission"	0.116304
"Red Cross Society"	0.114409
CITIC	0.113041
CPPCC	0.112401
"Congress (NPC) Standing Committee"	0.111462
"Central Commission for Discipline Inspection"	0.111362
"Chinese Academy of Social Sciences"	0.111024
"NPC Standing Committee"	0.108983
"Chinese Society"	0.107682
"Congress Standing Committee"	0.107542
"Central Committee"	0.105457
"United Front Work Department"	0.105431
"International Society"	0.10522
"Tang Jiaxuan"	0.105191
"Ministry of Culture"	0.10497
"Development Research Center"	0.104547
SPC	0.104187
ARATS	0.10332
"Chinese People"	0.102808
"China Securities Regulatory Commission"	0.102698
"Cambodian People's Party"	0.102139
"military commission"	0.100712
"Taiwan Affairs Office"	0.100244
"Ministry of Labor"	0.0992122
"National Tourism Administration"	0.0989636
"Eighth National Committee"	0.0987063
"CPC Central Commission for Discipline Inspection"	0.0979567
"World Meteorological Organization"	0.0963884
"United Nations Conference on Trade and Development"	0.095512
"State Administration of Internal Trade"	0.0944974
"Ministry of Justice"	0.0942818
"Communist Youth League of China"	0.0942736
"Party School"	0.0941181
"Board of Investment"	0.093248
CIRC	0.0932071
"Political Consultative Conference"	0.0931894
"Securities Industry Association"	0.0920796
"Central Military Commission"	0.0919708
"Ministry of Science"	0.0914539
"State Environmental Protection Administration"	0.0913971
"Hu Jintao"	0.0912355
"chamber of commerce"	0.090398
"Kenya African National Union"	0.0899811
CMC	0.0898503
CNOOC	0.0893962
"Chinese Foreign Ministry"	0.0891336
"Council of State"	0.0885936
"South African Communist Party"	0.0885539
"National People's Congress"	0.0882499
"State Economic and Trade Commission"	0.0880047
"Information Office"	0.0879505
"King Bhumibol Adulyadej"	0.0877649
"Organizing Committee"	0.0877212
"Ministry of Foreign Trade"	0.087593
"Chi Haotian"	0.0875657
"State Law and Order Restoration Council"	0.0875474
"Fu Quanyou"	0.0866133
HKTA	0.0859807
"China National Petroleum Corporation"	0.0854811
"National Council of Churches"	0.0851675
"Hong Kong Tourist Association"	0.085122
"Publicity Department"	0.0847536
"U.S. Chamber of Commerce"	0.0846282
"Qian Qichen"	0.0842463
"Organization Department"	0.084008
"Communist Party of China"	0.0837559
"Ministry of Internal Trade"	0.0832405
TDC	0.0831067
"CPC Central Committee"	0.0828189
Confederation	0.0826784
"Xinhua News Agency"	0.0825922
ESCAP	0.0824751
"Public Security Ministry"	0.0823996
"Xinhua News Agency Hong Kong Branch"	0.0823824
"Democratic Leadership Council"	0.0820508
"Ford Motor Company"	0.0820347
"Chinese Academy of Sciences"	0.0819289
"National Defense Commission"	0.0815736
"State Bureau of Environmental Protection"	0.08154
CAS	0.08145
"Federal Council"	0.0801666
"World Economic Forum"	0.0800944
"Shi Guangsheng"	0.0799486
"Great Hural"	0.079118
"Ministry of Personnel"	0.0789336
WEF	0.0788034
"Provisional Urban Council"	0.0785754
MOFTEC	0.078472
"League of Women Voters"	0.0783437
"Economic Commission for Africa"	0.0782581
"Ministry of Public Security"	0.0779295
"South Pacific Forum"	0.0772797
"Ministry of Public Health"	0.0770315
"Chinese Academy of Engineering"	0.0763899
"Russian Duma"	0.0760981
"Grand National Party"	0.0753977
"World Jewish Congress"	0.0748974
"American Association"	0.0748103
"Ministry of Health"	0.0743387
"Economic and Social Council"	0.0743333
"Democratic Alliance"	0.0741707
"Revolutionary Command Council"	0.0740689
"Southeastern Legal Foundation"	0.0739571
AmCham	0.0738991
CCF	0.0736799
"State Science and Technology Commission"	0.0733191
"State Planning Commission"	0.0728923
"Global Environment Facility"	0.0723173
"Civil Aviation Administration of China"	0.0722088
"Vietnamese Communist Party"	0.0720355
"Zhu Rongji"	0.0720354
"Wu Yi"	0.0719802
"Shanghai Branch"	0.0719024
"Asian Development Bank"	0.0717953
"United Malays National Organization"	0.0714777
"Socialist Party"	0.0713718
"Supreme Soviet"	0.0711912
"International Brotherhood"	0.0709902
"Bank of China"	0.070715
"Council of Europe"	0.0706391
directors-general	0.0706166
"Revolutionary Party"	0.0704135
"Chinese Communist Party Central Committee"	0.0701469
"Ministry of Information Industry"	0.069858
CSRC	0.0698518
"United Nations Industrial Development Organization"	0.069125
ICA	0.0690257
"standing committee"	0.0688464
"Ding Guangen"	0.068809
"ASEAN Secretariat"	0.0687779
"International Federation"	0.0687257
"National Abortion and Reproductive Rights Action League"	0.0687178
"Ministry of Agriculture"	0.0686947
"American Bar Association"	0.0681664
NPC	0.067773
"Legend Group"	0.0671892
"Ministry of Foreign Trade and Economic Cooperation"	0.0669817
Histadrut	0.066788
"Ninth CPPCC National Committee"	0.0667629
"Serbian Republic"	0.0667262
NRM	0.0667135
"Huang Ju"	0.0665908
"International Association of Machinists"	0.0665281
"State Family Planning Commission"	0.0664844
IPU	0.0664134
"Funcinpec Party"	0.0662665
"United Nations Development Program"	0.0662379
"House Budget Committee"	0.0661641
"International Brotherhood of Electrical Workers"	0.0659451
"State Administration of Cultural Heritage"	0.0658393
"Chinese government"	0.0655946
"municipal government"	0.0655671
"Allied Pilots Association"	0.065544
"Ministry of Planning"	0.0653496
WIPO	0.0651971
"Chinese Communist Party (CPC) Central Committee"	0.0650007
"Foreign Relations Committee"	0.0649022
"Democratic Revolution Party"	0.0648931
FIVB	0.0646043
"House International Relations Committee"	0.0645646
"Zeng Qinghong"	0.0644859
"Goh Chok Tong"	0.0642214
"Straits Exchange Foundation"	0.0640465
"Australian Olympic Committee"	0.0640364
"Executive Committee"	0.0638029
"Ministry of Interior"	0.0636779
"Communications Workers of America"	0.0635406
))
(All-Pro (desc 6978.68) (sims
"Pro Bowl"	0.287658
All-America	0.239885
"Pro Bowler"	0.155339
All-American	0.131169
"NBA All-Star"	0.121064
All-Star	0.112346
standout	0.106465
MVP	0.0978364
linebacker	0.0838417
"first team"	0.0808289
fifth-year	0.0793311
lineman	0.0768423
"most valuable player"	0.0751097
cornerback	0.0726811
"free agent"	0.0694098
niner	0.0683152
"Dallas Cowboys"	0.0673611
"Defensive Player"	0.0664492
Seahawk	0.0662768
cornerbacks	0.0662599
"honorable mention"	0.0634495
"ATLANTA FALCONS"	0.0621156
bronco	0.0612102
wideout	0.0609408
falcon	0.0608158
"Tennessee Titans"	0.0604837
five-time	0.0601683
nine-time	0.0598308
rusher	0.0591278
"second best"	0.0589598
journeyman	0.0587784
third-down	0.057726
"Denver Broncos"	0.0577006
tackler	0.0576417
"Detroit Lions"	0.0571159
"Houston Oilers"	0.0567547
backup	0.0567034
quarterfinalist	0.0560661
"Hall of Fame"	0.0560642
packer	0.0556962
Olympian	0.0555416
Redskin	0.0540532
"Green Bay Packers"	0.0536384
"Crimson Tide"	0.0529726
redshirt	0.0529476
"Pittsburgh Steelers"	0.0524014
Heisman	0.0523608
"New York Giants"	0.0518963
"Baltimore Ravens"	0.0516184
"Minnesota Vikings"	0.0511181
Raven	0.0507259
"St. Louis Rams"	0.0500396
eight-time	0.0500047
"New York Jets"	0.0496243
"big time"	0.0496102
four-time	0.0491829
"big leaguer"	0.0489217
"Gold Glove"	0.0488622
"running back"	0.0485609
prep	0.0482875
Viking	0.0479628
"top dog"	0.0474635
"Texas longhorn"	0.0474392
"San Diego Chargers"	0.0473429
tailback	0.0469123
"Kansas City Chiefs"	0.0464587
"Green Bay"	0.0464016
"tight end"	0.0461124
"Arizona Cardinals"	0.0460855
"San Francisco @@ers"	0.0460431
"important person"	0.0458505
"Chicago Bears"	0.0458396
up-and-down	0.0458006
"Cy Young"	0.0457746
"Carolina Panthers"	0.0456397
special-teams	0.0455189
buckeye	0.0454082
"altar boy"	0.0453331
BYU	0.0450091
superstar	0.0449299
varsity	0.0449293
paraplegic	0.0448378
"Seattle Seahawks"	0.0447955
matador	0.0447897
legit	0.0445085
"Arena League"	0.0445079
"fall guy"	0.0444857
All-Americans	0.0444692
"junior college"	0.0442254
"eagle scout"	0.0440852
castoff	0.0434446
"football player"	0.0434334
infantryman	0.0433635
te	0.0433311
"NFL Europe"	0.0431687
charger	0.0430914
raider	0.0430793
top-@@	0.0430629
Seven-time	0.0430312
switch-hitter	0.0430017
"Cleveland Browns"	0.0427834
Longhorn	0.0427815
"Three and Four"	0.0427247
underachiever	0.0426222
"Los Angeles Rams"	0.0425402
"Indianapolis Colts"	0.0424248
Gator	0.0423572
has-been	0.0422157
"Jackson State"	0.0418192
three-time	0.0417432
"Tar Heels"	0.0417093
techie	0.0417007
"eye doctor"	0.0416822
claimer	0.0414089
"Tampa Bay Buccaneers"	0.0410313
"Southern Methodist"	0.0409758
bridesmaid	0.0409325
holdout	0.0408954
"Cincinnati Bengals"	0.040808
"Oakland Raiders"	0.0406984
"major leaguer"	0.0404908
titlists	0.0404623
Bucs	0.0404227
FSU	0.0403797
"Miami Dolphins"	0.0401973
"Florida State"	0.0401183
))
(All-Star (desc 32637.2) (sims
"NBA All-Star"	0.167812
"Gold Glove"	0.151157
MVP	0.128157
"most valuable player"	0.120772
"Pro Bowler"	0.117536
"All-Star Game"	0.11345
All-Pro	0.112346
All-America	0.111129
All-American	0.104405
"Pro Bowl"	0.100658
"free agent"	0.0981277
hitter	0.0936439
"third baseman"	0.0930175
shortstop	0.0927768
catcher	0.0925062
outfielder	0.0911723
rookie	0.0872919
superstar	0.0854769
starter	0.0842658
scorer	0.0823562
"second baseman"	0.0803314
postseason	0.0785236
"big league"	0.0771368
Olympian	0.0761582
playoff	0.075825
"center fielder"	0.0751849
"World Series"	0.0740552
All-stars	0.0732699
"left fielder"	0.0718313
star	0.0712536
pitcher	0.0703332
slugger	0.0690773
teammate	0.0689646
"major league"	0.0688663
"Hall of Fame"	0.0665518
brave	0.0664064
"first baseman"	0.0654005
"Opening Day"	0.0648823
journeyman	0.0648003
champ	0.064754
"American League"	0.0642619
Laker	0.0642553
defenseman	0.0638367
"Cy Young"	0.0637775
"Cy Young Award"	0.0631067
NL	0.0624003
infielder	0.0623324
"first team"	0.0621411
batting	0.0616986
Yankee	0.061586
winner	0.0613886
"Red Sox"	0.061177
reliever	0.0609123
"minor league"	0.0608938
rebounder	0.0605913
Knick	0.060384
Sox	0.0603763
dodger	0.0600156
"right fielder"	0.0598969
guard	0.0597259
"NCAA Tournament"	0.0596317
mariner	0.0592932
Padre	0.0588207
interleague	0.0586797
switch-hitter	0.0583068
All-Americans	0.058253
WNBA	0.0578744
championship	0.0578598
ranger	0.0576414
"starting pitcher"	0.0576185
NBA	0.0575526
"Super Bowl"	0.0575063
"National League"	0.057387
standout	0.0571666
"spring training"	0.0565321
"designated hitter"	0.056402
"basketball player"	0.0559998
"Stanley Cup"	0.0557563
cub	0.0552712
diamondback	0.0549568
NHL	0.0548945
"Ryder Cup"	0.0545463
"major leaguer"	0.0544241
finalist	0.0541902
Masters	0.0539019
RBI	0.0536809
"pitching coach"	0.0535875
"Juan Gonzalez"	0.0534955
pennant	0.0533177
rusher	0.0532555
"Boston Red Sox"	0.0530997
hitting	0.0526243
batter	0.0525427
"White Sox"	0.0523288
marlin	0.0522931
A's	0.0522118
Mets	0.0517641
quarterback	0.0514175
ASTROS	0.0513224
"NBA Finals"	0.0511234
"No. @"	0.0507922
"Atlanta Braves"	0.0507694
"College World Series"	0.050459
Orioles	0.0502397
selection	0.0501649
"World Cup"	0.049982
runner-up	0.0498248
No.@	0.0496188
linebacker	0.0491612
"playoff game"	0.0491116
"Los Angeles Dodgers"	0.0490458
"relief pitcher"	0.0488892
"baseball player"	0.0488669
basemen	0.0488075
NLCS	0.0486559
cardinal	0.0486135
first-rounder	0.0482544
pirate	0.048161
backup	0.0480987
Lakers	0.0475767
"U.S. Open"	0.0475495
"home run"	0.0474518
angel	0.0473428
right-hander	0.0472438
goalie	0.0471896
"Houston Comets"	0.0469851
shooter	0.0468953
DH	0.0467574
titlist	0.0463222
at-bat	0.0459134
"St. Louis Cardinals"	0.0459074
al	0.0458943
"Division Series"	0.0456814
maverick	0.0454898
"New York Mets"	0.0454281
"Cleveland Indians"	0.045392
Heisman	0.0453358
lefthander	0.0452759
ANAHEIM	0.0450542
Giants	0.0449413
underachiever	0.0448683
"Baltimore Orioles"	0.044705
cornerback	0.0446017
"running back"	0.0445563
"minor leaguer"	0.0445438
defensemen	0.0445419
tackler	0.0445176
no-hitter	0.0443488
"New York Yankees"	0.0442869
"devil ray"	0.0442402
"Big East"	0.0441266
"role player"	0.0440936
pitching	0.0439998
top-@@	0.0439526
runnerup	0.0439408
"little league"	0.0439218
medalist	0.0438665
inning	0.0438102
Olympics	0.0437266
franchise	0.0436865
Wimbledon	0.0435284
bull	0.0435135
"PGA Championship"	0.0434381
scout	0.0432273
Williams	0.0431953
goaltender	0.0431796
vote-getter	0.0430658
preseason	0.0429586
"over .@@@"	0.0429583
"first @@"	0.0429354
"Chicago Cubs"	0.0427913
"Dream Team"	0.0427628
USC	0.042724
"Top @@"	0.0427238
ALCS	0.0427075
"second best"	0.0426608
athlete	0.0425679
Royals	0.0425553
righthander	0.0425031
bruin	0.0422257
Expo	0.0421958
NFL	0.0420885
ace	0.0420128
captain	0.0419099
Cleveland	0.0418783
cowboy	0.0418764
Gonzalez	0.041759
freshman	0.041731
"Ken Griffey Jr."	0.0416613
Phillies	0.0415204
"Stanley Cups"	0.0414405
met	0.0413343
passer	0.0413044
NCAA	0.041199
"first five"	0.0411329
falcon	0.0410679
Celtics	0.0409082
"first three"	0.0408569
"British Open"	0.0407044
"big time"	0.0406672
))
("All-Star Game" (desc 23010.3) (sims
"World Series"	0.142727
"Pro Bowl"	0.141624
"Super Bowl"	0.129631
"playoff game"	0.127828
"College World Series"	0.122726
opener	0.122713
"Game @"	0.117336
"baseball game"	0.114426
"exhibition game"	0.113931
"Ryder Cup"	0.113847
All-Star	0.11345
"PGA Championship"	0.107384
postseason	0.102577
"NBA Finals"	0.0998344
"cup final"	0.098596
playoff	0.0971211
doubleheader	0.0957899
"home game"	0.0954469
Olympics	0.0952429
"Summer Games"	0.0940011
"night game"	0.0931165
game.	0.092571
"World Cup"	0.0918822
"big game"	0.0914574
"British Open"	0.0910691
"big league"	0.0900097
final	0.0885267
ALCS	0.0880757
"Pro Bowls"	0.087511
Derby	0.0874301
"U.S. Open"	0.08679
"Super Bowl XXXIII"	0.0866417
festivity	0.0864394
"All-Star Games"	0.0853002
"Tour Championship"	0.085143
tournament	0.0850781
"Fiesta Bowl"	0.0844371
"Olympic Games"	0.0836152
"Asian Games"	0.0823325
"Academy Awards"	0.0818119
"NCAA Tournament"	0.0816895
"Game @."	0.0811022
"spring training"	0.0808216
"Division Series"	0.0807985
finale	0.0807485
championship	0.0805324
"Winter Olympics"	0.0799808
"basketball game"	0.0799755
"New York City Marathon"	0.0793249
"Commonwealth Games"	0.0788695
"Republican National Convention"	0.0786108
"American League"	0.0785237
NLCS	0.0780272
"Boston Marathon"	0.0778029
"Daytona @@@"	0.0776317
"sugar bowl"	0.0774597
"AFC Championship Game"	0.0766487
"Super Bowl XXXIV"	0.0760263
"Pan American Games"	0.0756511
concert	0.0753575
"American League Championship Series"	0.075227
"National League"	0.0749525
"Winter Games"	0.0749378
"Indy @@@"	0.0748202
"Summer Olympics"	0.0747999
"Grammy Awards"	0.0747699
"Democratic National Convention"	0.0746803
scrimmage	0.0739835
"Pepsi @@@"	0.0736059
premiere	0.0734095
Masters	0.0732764
"Cotton Bowl"	0.0729786
"Hall of Fame"	0.0729586
"Kentucky Derby"	0.0727707
"Rose Bowl"	0.0727398
tourney	0.0722682
convention	0.0710107
"major league"	0.0701142
gala	0.0697422
"Summer Olympic Games"	0.0693721
"Davis Cup"	0.0692042
"European Championships"	0.0688599
"road game"	0.068634
pageant	0.0679018
WNBA	0.0677001
rainout	0.067269
ceremony	0.0667817
post-season	0.0666001
"National League Championship Series"	0.0665277
festival	0.0659623
inning	0.0658899
"Little League World Series"	0.0656473
contest	0.0656438
minicamp	0.0656155
matinee	0.0652182
"Sydney Olympics"	0.0646649
"Gold Cup"	0.0646465
nightcap	0.0644366
marathon	0.0643916
"International AIDS Conference"	0.0643467
"Goodwill Games"	0.0642408
Ballpark	0.0641269
"Coors Field"	0.064015
"Fenway Park"	0.0638465
"Emmy Awards"	0.0637594
reunion	0.0636285
celebration	0.0633363
Telecast	0.0630487
"US Open"	0.063018
"Ministerial Conference"	0.0629133
Fenway	0.0627219
"Yankee Stadium"	0.0626999
"board meeting"	0.0626903
semifinal	0.0626226
conference	0.062569
extravaganza	0.0620411
"Super Bowls"	0.0618136
majors	0.0616265
"primary election"	0.0616179
"European Championship"	0.0615318
bash	0.0614838
"Orange Bowl"	0.0614754
"NFC Championship Game"	0.0613957
caucus	0.0612363
matchup	0.0610475
AMM	0.0610473
"Opening Day"	0.0608106
"French Grand Prix"	0.0607857
workout	0.0603537
parade	0.060125
interleague	0.0600993
banquet	0.0600647
showdown	0.0598822
induction	0.0597731
"Sydney Games"	0.0596872
"wedding anniversary"	0.0596073
"summit meeting"	0.0595668
Oscar	0.0594574
MVP	0.0594151
"Pan Am Games"	0.0593438
"hockey game"	0.0592156
Emmys	0.0592027
"perfect game"	0.0591955
Exhibition	0.0590635
"X Games"	0.0588608
"minor league"	0.0588464
Wimbledon	0.0587992
"ASEAN Ministerial Meeting"	0.0586876
"London Marathon"	0.0586739
"Solheim Cup"	0.0586029
"Olympic Winter Games"	0.0585965
"British Grand Prix"	0.0585935
appearance	0.0584896
balloting	0.0584679
funeral	0.0582017
NFL	0.0580105
league	0.0573904
"Golden Globes"	0.0569545
"World University Games"	0.0567572
debut	0.0566189
"open house"	0.0565631
"Asian Cup"	0.0564228
Astrodome	0.0563931
at-bat	0.056376
off-day	0.05622
"Copa America"	0.0561279
NHL	0.0560766
"Grand Prix"	0.0560376
"Stanley Cup"	0.0559911
"Tony Awards"	0.0558049
preseason	0.0556886
Olympiad	0.055653
ballgame	0.0554323
"World Championships"	0.055368
"news conference"	0.0553524
NBA	0.0553225
"grand slam"	0.0553036
fund-raiser	0.0551974
season.	0.0550398
wedding	0.0549591
"home run"	0.054762
audition	0.0547468
Emmy	0.0546655
"Rivers Stadium"	0.054638
"Stanley Cup Finals"	0.054531
NL	0.0544568
"Cannes Film Festival"	0.0543914
primary	0.0543688
summit	0.0543507
games.	0.0543067
bout	0.0542337
debacle	0.0541462
"rock concert"	0.0541109
outing	0.0540512
pro-am	0.0538182
"ball game"	0.0537725
pennant	0.0535403
"World Cups"	0.0531242
"first two"	0.0530991
shutout	0.0529114
))
("All-Star Games" (desc 1432.84) (sims
"Final Fours"	0.253173
"World Cups"	0.227386
"Pro Bowls"	0.226074
"Ryder Cups"	0.22313
"Super Bowls"	0.214823
starts.	0.167359
no-decisions	0.166149
"Cy Young Awards"	0.164951
great-grandchildren	0.16231
"major league season"	0.152329
runnings	0.150472
B-@s	0.14885
"British Opens"	0.147963
"major-league team"	0.141416
"Pulitzer Prizes"	0.13871
postseasons	0.138563
crewmembers	0.137009
"Stanley Cups"	0.135778
games.	0.135485
"U.S. Opens"	0.13416
years.	0.133648
faceoffs	0.130389
takeaways	0.126797
pennant	0.122737
seasons.	0.120279
"Gold Gloves"	0.119494
A@@@s	0.118315
Opens	0.116745
baserunners	0.114754
Dutchmen	0.114338
QBs	0.112219
All-Americans	0.111762
spacewalks	0.110741
internationals	0.109171
"extra points"	0.106937
"base runner"	0.106638
"road game"	0.102887
tranches	0.102238
Christmases	0.101139
minicamps	0.101016
"Emmy Awards"	0.100515
innings.	0.0983102
"No. @s"	0.0971079
regular-season	0.0963496
bogy	0.0961814
"World Series"	0.0958573
"playoff game"	0.0948799
NLCS	0.0944594
deuce	0.0928797
"flight of stairs"	0.0900868
"unearned run"	0.0899531
yea	0.0884729
TDs	0.088358
ballgames	0.087965
Grammys	0.0872663
"NBA Finals"	0.0865596
firsts	0.0862155
"All-Star Game"	0.0853002
"foul shot"	0.0843267
"day of rest"	0.0841022
sub-projects	0.0838461
tenths	0.0834032
state-level	0.0828732
upperclassmen	0.0818283
quarterfinalists	0.0789448
rebounders	0.0784382
"space walk"	0.0783341
crewmates	0.0777385
SEZs	0.0772981
"PGA Championships"	0.0772416
hundredth	0.0770235
sherpas	0.0767657
Emmys	0.0765972
"Baby Bells"	0.076499
"earned run"	0.076117
mushers	0.0760672
"home game"	0.0757767
stanza	0.0756761
"over .@@@"	0.075615
trainload	0.0754548
"exhibition game"	0.0751945
Pillars	0.0751607
"Pan American Games"	0.0747035
"break of serve"	0.0742875
"running play"	0.0735278
"European Cup"	0.0733781
abstention	0.0729537
"FA Cup"	0.0720555
prong	0.0718304
par-@s	0.0717844
vote-getters	0.071588
airmen	0.0706534
Paralympics	0.0704779
"test match"	0.0704536
"Tony Awards"	0.0703739
"Copa America"	0.0702007
"Canadian province"	0.07014
Stealers	0.0699473
MiG-@@s	0.0697538
Klansmen	0.0697218
NCAAs	0.0693562
Tonys	0.0692004
signees	0.0691592
"Grammy Awards"	0.069051
technicals	0.0683618
Frenchmen	0.0682329
Picassos	0.0679421
"fatal accident"	0.0678841
"great year"	0.0674318
tractor-trailers	0.0671032
wideouts	0.066533
"Texas Democrats"	0.0662329
"fire engine"	0.0661031
instalment	0.0660705
"Winter Olympics"	0.0659311
"European Championship"	0.0656441
overs	0.0655297
"feature film"	0.0654957
"F.A Cup"	0.0653493
curveballs	0.0653266
hostage-takers	0.0650759
"World Championships"	0.0649334
Series.	0.0648054
skydiver	0.0646113
"word of advice"	0.0645674
"Solheim Cup"	0.0644454
regionals	0.0643761
MiGs	0.0643311
tacklers	0.0642591
"service break"	0.0640564
stepchildren	0.0640271
"Central American nation"	0.0639797
"ball game"	0.0639007
skiiers	0.063845
"city block"	0.0636058
"foster child"	0.0634138
"big league"	0.0633294
Trey	0.0628704
miscarriage	0.0628126
Irishmen	0.0623
"Subway Series"	0.0621414
"bullet hole"	0.0621212
westerner	0.0619944
"big game"	0.0619314
co-defendants	0.0617031
top-@@	0.061624
timeouts	0.0613314
metropolises	0.0613112
"Purple Heart"	0.0612717
"container ship"	0.0606302
Concordes	0.0603504
ALCS	0.0603049
friendlies	0.0601503
paddler	0.0600506
defensemen	0.0599286
inductees	0.0595368
"minor-league team"	0.0594881
"first @@"	0.0593579
Copt	0.0592268
linemen	0.05912
"NL Central"	0.0590201
"combat mission"	0.0589812
detonator	0.0588795
co-chairs	0.0587605
"Stanley Cup"	0.0587597
"United States Open"	0.0586184
"law officer"	0.0583943
"football season"	0.0581379
"dead body"	0.0581175
"trading session"	0.0578397
changeups	0.0577653
"PGA Championship"	0.0575968
"away game"	0.0575069
"altar boy"	0.0574441
near-misses	0.0574211
game.	0.0573154
cantons	0.0572627
"National League Championship Series"	0.0571358
"fire truck"	0.0570499
"Fiesta Bowl"	0.0569548
ex-convicts	0.0568689
"coat of paint"	0.056839
"U.S. Amateur"	0.0568091
matches	0.0567069
All-stars	0.0563801
midfielders	0.0562649
"National Invitation Tournament"	0.0562596
nightcap	0.0559849
castaway	0.0559247
layups	0.0556962
Ukrainians	0.0556932
"Division Series"	0.0554257
matchups	0.0551318
"Arab-Israeli War"	0.0550977
armymen	0.0550578
"College World Series"	0.0548669
"Distinguished Flying Cross"	0.054718
"Next Generation"	0.0546528
"international flight"	0.0545494
governorates	0.0545454
))
(All-stars (desc 9937.89) (sims
All-Americans	0.120203
Aoshen	0.0897461
"minor leaguer"	0.088604
Bayi	0.0877308
"No. @s"	0.0841373
"major leaguer"	0.0839046
Pegasus	0.0776284
closers	0.0765021
standouts	0.0762106
superstar	0.0751757
"LA Lakers"	0.073879
All-Star	0.0732699
"major-league team"	0.0725973
"role player"	0.0719436
inductees	0.0715403
Supersonics	0.0704941
underachiever	0.0701646
freshmen	0.0701319
"baseball player"	0.0689136
"Guangdong Hongyuan"	0.0683311
Olympian	0.0679137
Hongyuan	0.0677232
greats	0.0671023
goaltenders	0.0669075
"ball club"	0.066202
"little leaguer"	0.0658832
ex-convicts	0.0633356
luminary	0.0630729
collegian	0.0628203
upperclassmen	0.0625047
lifer	0.0624917
immortal	0.062279
gymnast	0.0618657
PAOK	0.0613092
signees	0.0612938
quarterfinalists	0.0612454
minor-leaguers	0.0611301
no-decisions	0.0608708
ballplayer	0.0606067
starter	0.0597712
linemen	0.0596853
firsts	0.059428
ace	0.0594131
cager	0.0591949
draftee	0.058716
"heavy hitter"	0.0584614
scout	0.0583661
"baseball team"	0.0580878
performer	0.058042
honoree	0.0579652
pitcher	0.0577988
spacewalkers	0.0577968
enlistee	0.0575384
ump	0.0570869
"break of serve"	0.0570761
"All-Star Games"	0.0563801
overachiever	0.0563792
drillers	0.0560084
multimillionaires	0.0559498
wildcat	0.0559438
"Los Angeles Galaxy"	0.055941
Amateur	0.0558962
hitter	0.0556834
seminarian	0.0555108
Englishmen	0.0554803
"most valuable player"	0.0553758
takeaways	0.055199
major-leaguers	0.0551472
"hockey player"	0.0550374
squad	0.0549957
Frenchmen	0.0549883
wrestler	0.0546034
"free agent"	0.0544948
musician	0.0543702
co-owners	0.0542466
tacklers	0.0541823
Klansmen	0.0541693
"starting pitcher"	0.0540314
"NBA All-Star"	0.0539787
runners-up	0.0539389
outfielder	0.0539116
semifinalist	0.0536117
headliners	0.053544
"supporting players"	0.0534596
billionaires	0.0534189
maverick	0.0534029
rookie	0.0533936
B-@s	0.0533179
skater	0.0531096
Swede	0.052939
rebounders	0.0527892
"Koji Ito"	0.0525728
matador	0.0524968
Hoya	0.0523914
shuttlers	0.052239
misfit	0.0522257
balloonist	0.0521532
playmakers	0.0521162
"DPR Korea"	0.0519616
hopefuls	0.0519539
Waldner	0.0519128
QBs	0.0517409
basemen	0.0516758
Norwegian	0.0516068
internationals	0.0514941
"Chicago Fire"	0.0512587
mountaineer	0.050934
contestant	0.0508732
oiler	0.0508058
laughingstock	0.0507477
MVP	0.0506321
great-grandchildren	0.0506274
"Miami Fusion"	0.0504473
metropolises	0.0502851
footballer	0.050263
lacrosse	0.0498552
mushers	0.0498155
under-@@	0.0497712
"pitching coach"	0.0495269
scorer	0.0494916
shooter	0.0494092
"Final Fours"	0.0493437
homebuyers	0.0492608
"altar boy"	0.0492017
castaway	0.0491316
catcher	0.0490914
"running back"	0.0490669
cornerbacks	0.0490638
"hockey team"	0.0487866
hurler	0.0487293
roster	0.0486868
punter	0.048682
"basketball team"	0.0486266
MetroStars	0.0485648
student-athletes	0.0484158
kindergartners	0.0483225
"Sanchez Vicario"	0.048258
"CHARLOTTE STING"	0.0481343
umpire	0.0480499
newcomer	0.0480278
DJ	0.0480156
swimmer	0.047951
"baseball club"	0.0477552
walk-on	0.0477156
"football coach"	0.0477035
Celtics	0.047654
has-been	0.0476467
"basketball season"	0.0473648
champ	0.0473437
cinematographer	0.0472872
"top dog"	0.0472546
panda	0.0472515
vote-getters	0.0472451
"musical group"	0.0471729
pacer	0.0471317
"basketball player"	0.0471196
referee	0.0470275
slugger	0.0470219
lion	0.0470088
golfer	0.0467862
Nicol	0.046634
also-ran	0.0466285
astronaut	0.0464087
"D.C. United"	0.0464053
heavyweight	0.0463282
Olympiakos	0.0462879
Jansher	0.0462029
panelist	0.0460426
Fenerbahce	0.0460391
goal-scorer	0.0458359
hawk	0.0458264
"American Pete Sampras"	0.0457923
entrant	0.0457128
"Dream Team"	0.0457061
cyclone	0.0456497
sprinter	0.0456378
Stealers	0.0456162
warrior	0.0455567
wideouts	0.0455511
"good guy"	0.045508
"medical specialist"	0.0454841
varsity	0.0454677
midfielders	0.0454256
"Virginia Tech"	0.04539
"Boston Red Sox"	0.0453826
Alumni	0.0453527
shark	0.0453306
Spaniard	0.0453294
climber	0.0452953
dissenter	0.0452476
"English teacher"	0.0452266
finisher	0.0452149
decision-makers	0.0451931
businesswomen	0.0451798
"big leaguer"	0.0451455
Panathinaikos	0.0451293
"social scientist"	0.0450657
Blackhawks	0.0450652
Hoosier	0.0450604
finalist	0.045005
))
(All-Tech (desc 2017.51) (sims
Datek	0.120144
"Georgia Power"	0.114816
ADM	0.107958
"Consolidated Edison"	0.107283
"Salomon Brothers"	0.105965
SBA	0.105629
AIG	0.105177
Roberds	0.103588
"Con Ed"	0.103373
EEOC	0.100427
"R Block"	0.100167
ENTERGY	0.099992
Overnite	0.0994118
Allstate	0.0986529
BofA	0.0984816
"Koch Industries"	0.0959516
Equifax	0.0948628
"Ask Jeeves"	0.0947213
Yamaichi	0.0944724
Caldor	0.0938834
"Con Edison"	0.0925663
Odwalla	0.0920616
"Dow Corning"	0.0916057
AHP	0.0915319
MBNA	0.0906653
Chiquita	0.0898374
CAA	0.0893048
Lilco	0.0879301
"Bear Stearns"	0.0877981
Toysmart	0.0877761
Hynes	0.0874816
Genentech	0.0858477
"American Family Publishers"	0.0856847
SCI	0.0852786
Alltel	0.0842962
Google	0.0842782
"Bankers Trust"	0.0841832
"State Farm"	0.0839336
Salomon	0.083737
"Publishers Clearing House"	0.0829383
"Western Union"	0.082152
"Nomura Securities"	0.0817007
Handspring	0.0816455
Federated	0.0815535
Cargill	0.0815008
Humana	0.0810547
"Cendant Corp."	0.0810474
"A.R Baron"	0.0807591
RJR	0.0806153
Akamai	0.0805536
AGL	0.0804585
Informix	0.0796677
Scientific-Atlanta	0.079529
brokerage	0.0793871
"PG&AMP;E"	0.0793696
UTC	0.0788847
SAFY	0.0782253
ACOG	0.0778489
Aetna	0.0778439
Delphi	0.0775877
TRW	0.0775122
UPI	0.0775106
"Sanwa Bank"	0.0774392
MetLife	0.0762114
Cigna	0.076032
Mattel	0.0754596
"Ernst &AMP; Young"	0.0754412
"American Home"	0.0750663
RIAA	0.074792
Loewen	0.074767
CUC	0.0742815
"Pac Bell"	0.0742294
"Smith Barney"	0.0740154
MP@.com	0.0738958
"Royal Caribbean"	0.0738747
Dana-Farber	0.0737626
"Planned Parenthood"	0.0732368
Netcom	0.0731596
Cendant	0.0729871
IDT	0.0727997
"Niagara Mohawk"	0.0727365
"Gap Inc."	0.0725615
EBRD	0.0724657
Texaco	0.0723948
Incyte	0.0721986
TYCO	0.0721841
Novartis	0.0721047
"American Civil Liberties Union"	0.0720899
"Waffle House"	0.0714973
Intergraph	0.0714761
"American Century"	0.0707998
BankAmerica	0.0706135
TAZARA	0.0705232
"Merrill Lynch"	0.0704932
SAS	0.0704503
Warner-Lambert	0.0702698
Providian	0.0701767
Dreyfus	0.0698731
BankBoston	0.0698033
SGI	0.0697399
Sumitomo	0.0697398
Yukos	0.0697043
Comsat	0.0697001
Merrill	0.0692919
Priceline.com	0.0690602
"Bank of New York"	0.068879
"Nippon Credit Bank"	0.0687974
"Food Lion"	0.0686371
Cerent	0.0686167
Symantec	0.0686037
AMR	0.0685267
"brokerage firm"	0.0681988
Borodin	0.0681535
NCR	0.0680944
Enron	0.0680355
GPU	0.0680072
DFG	0.0679458
DEP	0.0679334
Trie	0.0679205
BOC	0.0678144
Schwab	0.0677656
Sunbeam	0.0677232
Verizon	0.0676655
TWA	0.0674448
Avis	0.0673967
MindSpring	0.0672035
PICC	0.0670012
NationsBank	0.0669878
NiSource	0.0669175
Bridgestone	0.0667122
"Pacific Lumber"	0.0664827
CDC	0.0663064
"Audubon Society"	0.0662691
"Anti-Defamation League"	0.0662514
ExciteAtHome	0.0662499
"John Hancock"	0.0661284
Aegon	0.0660522
Citigroup	0.0659927
FPL	0.0659125
"Forest Service"	0.0658553
"J.P. Morgan &AMP; Co."	0.0656167
ACLU	0.0654853
Nortel	0.0654527
"Pacific Bell"	0.0654167
"Andersen Consulting"	0.0654131
Lockheed	0.0651095
ETrade	0.0650703
"Aetna U.S. Healthcare"	0.0650018
Raytheon	0.064965
"Philip Morris"	0.064654
"Department of Motor Vehicles"	0.0646445
"Delta Airlines"	0.0645229
Honeywell	0.0644311
Liggett	0.064413
Hoechst	0.0643676
"Morgan Stanley"	0.0643059
"First Union"	0.0642865
"State Street"	0.064249
ARCO	0.0642263
BASF	0.0641786
NLRB	0.064177
MCI	0.0641123
Halliburton	0.0640423
STARMEDIA	0.0639023
EMC	0.0638579
Intuit	0.0638215
"Papa John"	0.0638176
GTE	0.0637718
"Bank of America"	0.0637505
Comcast	0.0637143
Stratton	0.0636475
"P&AMP;G"	0.0633967
DirecTV	0.0633519
Ingalls	0.0633032
"Charles Schwab"	0.0631603
Aventis	0.0628558
Stearns	0.0628
ZDTV	0.0627415
"Office Depot"	0.0624992
fidelity	0.0622746
Peapod	0.0622682
MLB	0.0622503
USEC	0.0622439
Ruthardt	0.0621118
Chevron	0.0621023
Georgia-Pacific	0.0620157
"Southwest Airlines"	0.061822
Softbank	0.0615612
HUD	0.0615221
Wyeth-Ayerst	0.0613799
SSB	0.0613713
"Boys Ranch"	0.0612892
BNFL	0.0612757
Marlborough	0.0612266
KSE	0.0611968
"US West"	0.06118
SabreTech	0.0610594
"L.L Bean"	0.0610534
Alcatel	0.0609547
Dupont	0.0607
))
(Allah (desc 3999.23) (sims
Almighty	0.201316
God	0.118334
"Jesus Christ"	0.085182
Lord	0.0758429
thee	0.0746671
Jesus	0.0737524
Farrakhan	0.0663051
Christ	0.0647732
deity	0.0639954
Zeus	0.0586158
Goddess	0.0541878
Buddha	0.0535154
Taoist	0.0471926
"Mother Nature"	0.0468451
"two words"	0.0457518
goodness	0.0447775
Kafka	0.0442607
Kelleher	0.0437237
infallibility	0.0433998
amen	0.0430969
prophet	0.0430535
Puzo	0.0428054
"Virgin Mary"	0.0424503
nonviolence	0.0423879
Amelia	0.0421869
Godot	0.0417645
sender	0.0414343
Satan	0.0403184
Wahhabis	0.0400265
))
(Allan (desc 3259) (sims
Evan	0.0927457
Larry	0.0916386
"Patsy Ramsey"	0.0850766
Steven	0.084606
Tim	0.0833259
Marcus	0.0830609
Jeff	0.0808769
Arthur	0.0792211
Gary	0.0789098
Michael	0.0788469
Dominic	0.0783945
Karl	0.0770976
Neil	0.0767429
Fassett	0.0763091
Mendez	0.0759124
Walter	0.0757573
Phillip	0.0754819
Naumann	0.0753183
Connor	0.0750003
Samuel	0.0723399
Gerald	0.0722428
MOE	0.0722186
Patrick	0.0713499
Danny	0.0712927
Marvin	0.0712546
Eric	0.0711282
Drummond	0.0704246
Carl	0.0701304
Brian	0.069452
Edmund	0.0689022
Joel	0.0688419
"Dale Jr."	0.0686177
Kenneth	0.0685891
Harold	0.0685332
Archie	0.068303
Kenny	0.0681775
Ramon	0.0681286
tom	0.068018
Abernathy	0.0677298
Cline	0.0677297
Mikhailov	0.0677201
Unser	0.0673874
Brazill	0.0673811
Valenzuela	0.0672275
Jim	0.0670415
Charles	0.0668925
Jamie	0.0668649
Milbury	0.0668599
Alan	0.066785
Antonio	0.0667741
Appleby	0.06639
Peter	0.0660214
Sato	0.0656879
Chris	0.0655705
Vladimir	0.0654227
Josh	0.0652356
Sean	0.065184
Saul	0.0648906
Lester	0.0647736
Anthony	0.0646406
Blackthorne	0.0644758
Robert	0.0643462
Edith	0.0639863
"John Jr."	0.06386
James	0.0638226
Bobby	0.0637726
Steve	0.0636964
P.J	0.0635803
Kevin	0.063147
Elliott	0.0631281
Samuelson	0.0629777
Jacob	0.0628708
Lundy	0.062625
Donnie	0.0624589
Andrew	0.0624269
Paciello	0.062353
Philip	0.0623343
Hanna	0.0622768
Ralph	0.0619794
Roger	0.0619235
Wayne	0.0619221
Andy	0.0614592
Chadwick	0.0613438
Beckwith	0.0612036
Justin	0.0611559
Zambrano	0.0611271
Childs	0.0610381
Merlino	0.0610076
Rowan	0.0609615
Welch	0.0608562
Sheehan	0.0607608
Ferrer	0.0607531
"Russell Peeler"	0.0606426
Bernard	0.0606109
Paul	0.0606089
Sam	0.0603336
Kodikian	0.0603
Agca	0.0602403
looper	0.0602394
"John Kim"	0.0601547
Daniel	0.0599046
Ben	0.0598712
Heinrichs	0.0597081
McKinney	0.0596212
Michele	0.0595814
Julian	0.0595077
Hatfield	0.059476
Baumhammers	0.0594107
Hoke	0.0590327
mike	0.059016
Kyle	0.0586637
Mellencamp	0.0586154
Shinn	0.0586016
Clarence	0.0584538
Stan	0.0584284
Gogel	0.0583914
Jarrell	0.058374
STUART	0.058256
Darryl	0.0582219
Rosenblatt	0.0581299
Levinson	0.0581202
Jerry	0.0580504
Jeremy	0.0580363
Calipari	0.0580234
Ahmed	0.0580228
William	0.0579978
Paxon	0.0578394
Carolyn	0.0576765
Trevor	0.0576346
Soliah	0.0575626
Travis	0.0575425
"Richard Williams"	0.0572347
Jimmy	0.0572312
Dan	0.0570205
Manuel	0.056969
Keith	0.0568345
Matthew	0.0567982
Jeb	0.0566864
Ruehe	0.0566548
Godfrey	0.0566109
Briscoe	0.0565592
Haney	0.0565084
Albert	0.0561086
Horner	0.0560692
Edwin	0.0559873
Redd	0.0559189
Pugh	0.0558956
Hirst	0.0558947
Kathleen	0.0557881
Meredith	0.0557727
Downey	0.0557176
Sorensen	0.0556984
Gerard	0.0556565
Russ	0.055463
Ron	0.0553336
D.J	0.055292
Goldstein	0.0552104
"Juan Miguel"	0.0551644
Madden	0.0551611
Leonard	0.0551093
Brandon	0.0551024
Donohue	0.0550726
Carollo	0.0549954
Brooke	0.0549853
Joseph	0.0548555
"police sergeant"	0.054683
Tommy	0.0546102
Kessler	0.0545181
Lamont	0.0544693
Tran	0.0544542
Padilla	0.0544053
Bowers	0.0543924
Atwater	0.0542941
Greg	0.0542889
"Allan Houston"	0.0542589
Zacarias	0.0542203
Francois	0.0541929
Neulander	0.0540892
"Charles Dolan"	0.0540491
Lowry	0.053927
Verniero	0.0538241
Hans	0.0537783
Vincent	0.053728
Ervin	0.0537245
Starks	0.0536762
Jason	0.053504
Cooley	0.053314
Zamora	0.0533022
Stayner	0.0532529
Carrera	0.0532474
Karlsson	0.0532309
Joshua	0.0532132
Flynn	0.0530413
Dominique	0.0530213
Breuer	0.0530153
Bernie	0.0530002
Skakel	0.0529577
McWilliams	0.0529477
Chuck	0.0529348
Aaron	0.0529311
))
("Allan Donald" (desc 2888.16) (sims
"Mark Boucher"	0.274529
"Jonty Rhodes"	0.2222
"Glenn McGrath"	0.179553
"Courtney Walsh"	0.156406
"Dean Headley"	0.153696
"Darren Gough"	0.14892
"Jacques Kallis"	0.146973
"Angus Fraser"	0.137345
"Shaun Pollock"	0.132665
Donald	0.125533
"Damien Fleming"	0.120526
"Curtly Ambrose"	0.100473
"Wasim Akram"	0.0933895
"Hansie Cronje"	0.088073
Kallis	0.0853111
Warne	0.0809273
"Shane Warne"	0.0784669
Muralitharan	0.0751009
Rothko	0.0737712
bowler	0.0701579
Pollock	0.0660973
Tendulkar	0.0629537
"Sachin Tendulkar"	0.056151
"Alec Stewart"	0.054791
Gough	0.0542073
Akram	0.0497726
Bonnard	0.0486425
Ince	0.0485158
"Koji Ito"	0.0481484
Warhol	0.046534
batsmen	0.0445727
"Nasser Hussain"	0.0438687
"Li Xuemei"	0.0434197
Gorter	0.0428333
Kooning	0.042211
NCEC	0.0420383
Anelka	0.0400658
))
("Allan Houston" (desc 12180.5) (sims
"Chris Childs"	0.291416
"Larry Johnson"	0.265174
"Marcus Camby"	0.256594
"Kurt Thomas"	0.248548
"Latrell Sprewell"	0.236516
"Tim Hardaway"	0.232205
"Charlie Ward"	0.226795
"Alonzo Mourning"	0.220646
"Gary Payton"	0.204017
"Patrick Ewing"	0.201093
"Chris Dudley"	0.191453
"Mitch Richmond"	0.181698
"Allen Iverson"	0.181032
"Grant Hill"	0.175129
"Vin Baker"	0.171009
"Jason Kidd"	0.170227
"Penny Hardaway"	0.165281
Childs	0.162728
"Glen Rice"	0.159309
"Kevin Garnett"	0.159129
Sprewell	0.153147
Ewing	0.150535
"Ray Allen"	0.150409
"Tim Duncan"	0.149723
"Anfernee Hardaway"	0.149356
"Kobe Bryant"	0.148732
"Steve Smith"	0.148599
"Shawn Kemp"	0.147134
"Reggie Miller"	0.145452
"Stephon Marbury"	0.136494
"Dennis Scott"	0.136193
Camby	0.134726
"Tom Gugliotta"	0.132991
"Karl Malone"	0.130638
"Terrell Brandon"	0.128048
"Dikembe Mutombo"	0.127579
"Shaquille O'Neal"	0.127322
"Darrell Armstrong"	0.126392
"John Stockton"	0.123027
"Jalen Rose"	0.122338
"John Starks"	0.121917
"Chris Webber"	0.117947
"Eddie Jones"	0.117766
"David Robinson"	0.113758
"Scottie Pippen"	0.113174
"Jerry Stackhouse"	0.110913
"Chris Mills"	0.11083
"Kendall Gill"	0.109461
"Juwan Howard"	0.108591
"Kerry Kittles"	0.108289
"Damon Stoudamire"	0.107248
"Jason Williams"	0.106842
"Dominique Wilkins"	0.105623
"Rex Chapman"	0.104976
"Glenn Robinson"	0.104467
"Charles Barkley"	0.104132
"Antonio McDyess"	0.102398
"P.J Brown"	0.10114
"Cliff Robinson"	0.100981
"Dan Majerle"	0.10042
"Jeff Van Gundy"	0.100384
"Keith Van Horn"	0.0996872
"Nick Anderson"	0.0996597
"Rod Strickland"	0.0992244
"Sam Cassell"	0.0990168
"Khalid El-Amin"	0.0986939
"Tracy McGrady"	0.0981133
"Derek Fisher"	0.097264
"Rasheed Wallace"	0.0962687
Bryant	0.0959188
"Vince Carter"	0.0959095
"Mark Jackson"	0.0957691
"Michael Finley"	0.0952289
"Shareef Abdur-Rahim"	0.0948178
"Mookie Blaylock"	0.0946511
"Chris Mullin"	0.0938768
"Antoine Walker"	0.0934536
"Hakeem Olajuwon"	0.0932334
"Christian Laettner"	0.0929658
"Avery Johnson"	0.0926916
Garnett	0.0923577
"Detlef Schrempf"	0.0922196
Hardaway	0.0920748
"Larry Hughes"	0.0910914
Iverson	0.0905798
"Richard Hamilton"	0.0896997
"Joe Dumars"	0.0896862
"John Wallace"	0.0895117
"Robert Horry"	0.0892861
MARBURY	0.088924
"Eric Snow"	0.0876024
"Ron Mercer"	0.0873937
"George McCloud"	0.087172
"Bonzi Wells"	0.0870888
"Herb Williams"	0.0862067
"Ron Harper"	0.0857534
"Voshon Lenard"	0.0842667
"Derrick Coleman"	0.0833513
"Rick Fox"	0.0827798
"Derek Anderson"	0.0820933
"Mateen Cleaves"	0.0819771
"Antonio Davis"	0.08172
"Paul Pierce"	0.0816837
Pippen	0.0809472
Payton	0.0806644
"Isaiah Rider"	0.0806344
"Kenny Anderson"	0.0801268
"Brent Barry"	0.0785247
"Toni Kukoc"	0.0774165
"Jamal Mashburn"	0.0763748
"Doug Christie"	0.0757035
"Bob Sura"	0.0752692
"Vlade Divac"	0.0750966
"Jeff Hornacek"	0.0750089
"B.J Armstrong"	0.0738553
"Travis Best"	0.0735332
"Hersey Hawkins"	0.0734784
duncan	0.0734061
"Malik Sealy"	0.0733606
"Teresa Weatherspoon"	0.0732228
"David Wesley"	0.0732058
Starks	0.0727549
"Nick Van Exel"	0.0727079
O'Neal	0.0719308
McCloud	0.0718442
"Michael Dickerson"	0.0716106
Cleaves	0.0710483
"Nikki McCray"	0.070576
mourning	0.0704264
Knicks	0.0703639
Kukoc	0.0702233
"Van Exel"	0.0700836
El-Amin	0.0700528
"Jim Jackson"	0.0696831
"Trajan Langdon"	0.0695909
"Matt Santangelo"	0.0694461
Houston	0.0693742
"Brian Shaw"	0.0693573
Robinson	0.0693294
Kittles	0.0691449
Olajuwon	0.0685519
Malone	0.0685159
ward	0.0684841
"Steve Francis"	0.0684172
"Cuttino Mobley"	0.0681903
"Jaren Jackson"	0.0681876
Kidd	0.0678675
"Charles Oakley"	0.0676665
Johnson	0.067337
Dudley	0.0671639
Smits	0.0670541
"Donyell Marshall"	0.066944
"Shawn Marion"	0.0669416
"Scoonie Penn"	0.066345
"Maurice Taylor"	0.0661291
"Michael Jordan"	0.0659882
"Kim Perrot"	0.0659414
"Erick Barkley"	0.0657388
"Anthony Mason"	0.065383
"Bobby Phills"	0.0650651
"Jeff Trepagnier"	0.0649251
"Eric Piatkowski"	0.0648634
"Alan Henderson"	0.0648401
Mashburn	0.0648338
Swoopes	0.0645423
"Austin Croshere"	0.0645022
"Horace Grant"	0.0644606
"Arvydas Sabonis"	0.0643342
Mihm	0.0638929
Oakley	0.0633884
"Dirk Nowitzki"	0.0631624
"Brevin Knight"	0.0630163
"Jimmy Oliver"	0.062952
"Hu Weidong"	0.062696
Horry	0.0626463
Shaq	0.0622988
"Greg Anthony"	0.061989
"Anthony Johnson"	0.0619498
"Shammond Williams"	0.06155
"Mario Elie"	0.0613727
"Jason Terry"	0.0612587
Barkley	0.0611975
"Clyde Drexler"	0.0609182
Mobley	0.060684
Polynice	0.0605282
Muoneke	0.0604138
"Baron Davis"	0.0600741
"Howard Eisley"	0.059558
"Michael Redd"	0.0593624
"Brandon Granville"	0.0593089
Fizer	0.0592743
"Kevin Johnson"	0.0591954
"Vernon Maxwell"	0.0587073
"Ron Artest"	0.0584471
Scalabrine	0.0579773
"A.C. Green"	0.0576271
Hornacek	0.0575745
"Mike Bibby"	0.0574936
Granville	0.0574737
"Cynthia Cooper"	0.0572975
))
(Allard (desc 817.59) (sims
Brownback	0.238641
Murkowski	0.23645
frist	0.198779
Kyl	0.192243
Hagel	0.18791
Dewine	0.146557
Domenici	0.144824
Nickles	0.142765
Snowe	0.141788
Singson	0.139722
Lugar	0.138197
Inhofe	0.137815
Santorum	0.135325
Grassley	0.132936
Jeffords	0.129092
Solis	0.12751
Patel	0.127235
Fleischer	0.125067
McConnell	0.123983
Hodler	0.123848
Guthridge	0.117983
Turturro	0.117509
Sheehan	0.115796
Alioto	0.114964
Voinovich	0.114082
Bolger	0.113342
Clements	0.113149
Advani	0.112516
prvs	0.111821
"La Bella"	0.111808
Rossotti	0.111775
"Paul Schrader"	0.111564
"Julie Taymor"	0.111265
Chao	0.111186
Gorton	0.110775
Alderson	0.11004
Gregg	0.109563
Conroy	0.108701
Rosen	0.108659
Thurmond	0.108187
Flanagan	0.107502
Hutchinson	0.105832
Shelby	0.105779
Upton	0.105126
Rothenberg	0.104945
Cochran	0.104916
Cline	0.103712
Wolfson	0.103079
MURTHA	0.102644
Heinrichs	0.102534
Difrancesco	0.102453
Canady	0.101464
LaPierre	0.101429
Velayati	0.10132
Azizah	0.101173
Bulatovic	0.100827
Siazon	0.10073
McCurry	0.100504
Chafee	0.100412
Greenwald	0.0998199
Verney	0.0992829
Rosenblatt	0.0992261
McQueen	0.0988967
Storin	0.0985351
Ashcroft	0.0983653
Bustamante	0.0979811
Tauzin	0.0979366
Waxman	0.09747
Ruehe	0.0972579
Inman	0.0970342
Sensenbrenner	0.0968409
"Steven Soderbergh"	0.0962313
Babcock	0.0959539
Marineau	0.0958905
Kyprianou	0.0951145
Weiner	0.0946173
Insulza	0.0945627
Halberstam	0.0943876
Rudenstine	0.0943116
Kessler	0.0941395
Steiner	0.0939478
Mandelson	0.0936803
Kornberg	0.0936678
Moakley	0.0936298
Trulock	0.0936036
Gerstner	0.0931495
Caddell	0.0930438
Valenti	0.0927292
Braswell	0.092683
Dorsey	0.0925118
Kasoulides	0.0924955
Hybl	0.0922026
Hutchison	0.0919202
Gramm	0.09187
Satcher	0.0918462
Silverstein	0.0915552
Reimer	0.0912673
Hauser	0.090743
Schuerholz	0.0906933
Hindery	0.090638
Suarez	0.0901926
Ainge	0.0893601
Eisenman	0.0893125
Shayler	0.0893113
Pelosi	0.0892465
Larson	0.0889998
Delahunt	0.0889568
DERSHOWITZ	0.0887415
Coen	0.0885057
Butterworth	0.0881096
Mullinax	0.088087
LaBella	0.0880768
Manley	0.0880291
Goossen	0.0878895
"administration official"	0.0877597
Brenner	0.0871493
"Wes Craven"	0.0871438
Cowan	0.0870235
Coverdell	0.0868389
Meissner	0.0865205
McKenna	0.0861384
Lessig	0.0859714
"Jonathan Demme"	0.0859529
McDonnell	0.085702
Meguid	0.0854476
Upshaw	0.085099
Pruett	0.0850877
Contreras	0.0847903
Posner	0.0846514
Eizenstat	0.0846025
Aguirre	0.0843912
Ebersol	0.0842788
Nadler	0.0839924
Sato	0.0839117
Ackerman	0.0837347
Hayden	0.0836768
Schmalensee	0.0834203
Luc	0.0831905
HELLER	0.0831644
Sheldon	0.0831411
Ftorek	0.0829176
"Terrence Malick"	0.0828937
Lampkin	0.0827027
hodgson	0.0826908
Baugh	0.0825391
Lehane	0.0825062
Prewitt	0.0824068
Meehan	0.0823571
Dowd	0.082313
Michel	0.0822966
Kennard	0.0822853
Jayakumar	0.0822812
Farber	0.0822608
Postol	0.0822226
Scharping	0.082125
Passarella	0.0818927
Pollack	0.0818549
Engel	0.0818225
Moonves	0.0815407
Kerik	0.0814189
"Chris Smith"	0.0812332
Margolis	0.081148
Echols	0.0811444
"John Bartlett"	0.0811403
Weldon	0.0811343
Rubenstein	0.0809889
Zucker	0.0809778
Diouf	0.0806163
Patten	0.0805275
Mendez	0.080447
Abraham	0.0803728
GAGE	0.0802724
Doggett	0.0801523
Kerrigan	0.0800448
Ono	0.0800279
Daft	0.0799376
Burleigh	0.0797994
McInnis	0.0797305
Roth	0.0796451
Husseini	0.0796032
Rooney	0.0792643
Jovanovic	0.0792042
Paxon	0.079119
Caldera	0.079011
Klemperer	0.0788533
Allchin	0.0788009
Mikhailov	0.0787635
Rongen	0.0787482
Alexie	0.0785659
Benedetti	0.078543
Romar	0.0785242
McFadden	0.077849
Freeh	0.0777994
Fieger	0.0776451
Geiger	0.0776084
Jeffers	0.0774482
Condit	0.0773301
Nzo	0.0773165
Darnell	0.0769701
Scheck	0.076939
))
(Allchin (desc 727.235) (sims
Schmalensee	0.371726
Colburn	0.262891
Maritz	0.23109
Tevanian	0.223765
Myhrvold	0.22096
Fassett	0.204742
Turetzky	0.203288
Barksdale	0.202203
Waxman	0.175895
Rosen	0.170655
Felten	0.160533
Wolfson	0.15929
Hamlin	0.157844
Lamberth	0.151997
McCurry	0.150966
Farber	0.14729
Ratner	0.145149
Flanagan	0.145127
Reimer	0.143315
Eizenstat	0.142197
Schuerholz	0.141307
Demaci	0.14111
Eubanks	0.13736
Bruton	0.136968
Kornberg	0.13538
Goldin	0.134738
Jovanovic	0.130587
Poole	0.12889
Valenti	0.125566
Rudman	0.125298
Greenwald	0.125002
Padilla	0.124775
DeFrantz	0.123289
"Maturino Resendiz"	0.123241
Malu	0.122702
kraut	0.122115
Zarb	0.121656
Ruggiero	0.120408
Hitchens	0.119916
Jayakumar	0.119325
Pugh	0.118443
Hersh	0.118079
Cornyn	0.117916
Burleigh	0.117332
Sassa	0.116932
Puzo	0.115934
Wenger	0.115601
Monahan	0.114801
Harr	0.114227
Menchu	0.113769
Babcock	0.112995
Gwen	0.112655
Hamdoon	0.112069
McKenna	0.111865
DERSHOWITZ	0.111783
Norris	0.111758
Siazon	0.110834
Ashrawi	0.110171
Podesta	0.110091
Fleischer	0.109878
Nickerson	0.109816
Buckingham	0.109058
Musa	0.10895
Clements	0.108703
Carollo	0.1085
"administration official"	0.108062
Massey	0.107293
McGuinness	0.10724
Sharansky	0.107176
Garcetti	0.106872
Natale	0.105642
Mucha	0.105367
Flemmi	0.104706
Kennard	0.10449
Bronfman	0.104355
Cavanaugh	0.103421
Ikimi	0.103415
Ummi	0.103207
Koskinen	0.102926
Storin	0.102776
Trulock	0.102452
Ruehe	0.10232
Abdel-Meguid	0.102245
McLane	0.102227
Cianci	0.101466
Pyle	0.101402
Blumenthal	0.101078
Joklik	0.10089
Cashman	0.10071
Isikoff	0.100531
Fech	0.100228
Jenoff	0.100216
Moratinos	0.100202
interviewee	0.100036
Moonves	0.0997856
Mudge	0.099538
Conroy	0.0993519
Azizan	0.0992726
Berger	0.0991341
Insulza	0.0985494
Ziegler	0.0984825
Gullit	0.0983851
Condit	0.0983674
Martorano	0.0982055
Rossotti	0.0980395
O'Neil	0.0979477
Krugman	0.0978199
Cleary	0.0976598
Soares	0.0974214
Barshefsky	0.0973153
Juma	0.0971697
Caddell	0.0971423
Gutman	0.0961159
Bakaly	0.0960566
Kasoulides	0.0957572
Macfarlane	0.0955052
APA	0.0952222
Teresi	0.0951571
Rove	0.0950793
Hasan	0.0948752
Tsvangirai	0.0946972
Weil	0.0946608
Kurtz	0.0944452
Rudenstine	0.094269
Kenna	0.0941041
Shelton	0.0936978
Meskini	0.0933931
Lindsey	0.0933388
Shahak	0.0930948
Jarrell	0.0930706
Bettman	0.0928337
Schell	0.0925395
Whyte	0.0924958
Biggs	0.0923109
Prewitt	0.0921173
Patel	0.0910897
Romer	0.0910744
Butterfield	0.0907162
Cramer	0.0907014
Ruthardt	0.0906339
Eisner	0.0904888
Freeh	0.0904883
Farah	0.0904722
Meissner	0.0904245
Vogel	0.0903881
Sutiyoso	0.0902556
Biden	0.0902373
Harris-Lewis	0.0902221
Zucker	0.0901521
PITTS	0.0899235
Shamshad	0.0898603
nix	0.0898027
Kerasiotes	0.0894905
Alderson	0.0894661
Finkel	0.0894412
Azizah	0.0894302
Sheehan	0.0891317
reverend	0.0889166
Khai	0.0889136
Murkowski	0.0887662
Alarcon	0.0887633
Cline	0.088678
Reinhardt	0.0886114
Grasso	0.0886112
Fieger	0.0884181
Haskins	0.0882489
Smirnov	0.0882365
Constantinescu	0.088125
Bambang	0.0880929
Fiddes	0.0879003
Souter	0.0878681
Sumaye	0.0875968
Tellem	0.0875273
LaPierre	0.0874372
Rodionov	0.0872387
Bogle	0.0870778
Rabe	0.0870722
Zamora	0.0870241
Einhorn	0.086907
"campaign official"	0.0869067
Kono	0.0868909
Meeks	0.0868789
Waigel	0.0866695
Singson	0.0862973
Ruff	0.0862817
Daley	0.0861484
Rubenstein	0.0860326
Epstein	0.0860015
Wilhelm	0.0859393
Duquette	0.0857114
Delahunt	0.0856748
Tillman	0.085417
Chabot	0.0852414
Dunleavy	0.085145
Devine	0.0851089
Postol	0.0849722
Garber	0.0849078
Purdy	0.0848131
hodgson	0.0848062
Lockhart	0.0847738
))
(allegation (desc 122316) (sims
accusation	0.352506
charge	0.24797
claim	0.204525
complaint	0.185992
scandal	0.170474
rumor	0.165573
assertion	0.162201
investigation	0.155202
revelation	0.152075
suspicion	0.150756
report	0.1494
incident	0.149213
evidence	0.147542
case	0.14721
lawsuit	0.140004
criticism	0.139047
suggestion	0.132717
statement	0.132039
testimony	0.127886
disclosure	0.123114
finding	0.122418
remark	0.122102
indictment	0.120825
comment	0.119916
inquiry	0.118791
controversy	0.11723
question	0.116508
threat	0.112933
abuse	0.112811
argument	0.11229
speculation	0.111503
violation	0.1114
misconduct	0.111395
action	0.109894
wrongdoing	0.109495
attack	0.109135
irregularity	0.108255
crime	0.107853
decision	0.107676
fact	0.102988
denial	0.100451
arrest	0.10032
matter	0.100093
conduct	0.0998179
killing	0.0995983
request	0.0991194
conviction	0.0985613
fraud	0.0981895
perjury	0.0979035
proposal	0.0977223
probe	0.0975484
problem	0.0971558
detail	0.097073
issue	0.0962136
count	0.0960788
corruption	0.0959433
story	0.0955943
confession	0.0952749
act	0.0938616
"corruption scandal"	0.0935072
involvement	0.093178
behavior	0.0930222
refusal	0.0929381
conspiracy	0.0928366
dispute	0.092793
murder	0.0923914
failure	0.0920877
attempt	0.0910777
prosecution	0.0899601
concern	0.0896596
announcement	0.0890841
leak	0.088926
plot	0.0883646
account	0.0883198
violence	0.0882564
possibility	0.0876748
warning	0.087475
article	0.0868582
"news report"	0.086775
affair	0.0866652
theory	0.0865752
bombing	0.0863874
suit	0.0858451
information	0.0855749
activity	0.0854201
objection	0.0852341
fear	0.0850497
ruling	0.0847924
recommendation	0.0810122
contention	0.0809864
lie	0.0809163
tactic	0.0806045
theft	0.0796667
shooting	0.0796516
rejection	0.079568
protest	0.0794134
policy	0.0793758
atrocity	0.0793734
situation	0.0792862
plan	0.0791573
cover-up	0.0790089
tragedy	0.0786622
bribery	0.078657
verdict	0.0783799
massacre	0.0783467
handling	0.0782954
conclusion	0.0782038
perception	0.0776322
circumstance	0.0773664
lack	0.0769972
espionage	0.0769438
assault	0.0766834
appeal	0.0763686
judgment	0.0757946
document	0.0753045
disappearance	0.0753011
impropriety	0.0752503
"murder charge"	0.0752283
relationship	0.0749486
effort	0.0749199
kidnapping	0.0748948
proceeding	0.0747907
trial	0.0746476
assessment	0.0743913
demand	0.0737974
idea	0.0736426
litigation	0.0735875
prediction	0.0735042
spate	0.0730237
raid	0.0729622
dealings	0.0729582
news	0.0726914
aspect	0.0726559
impeachment	0.0726453
admission	0.0724952
notion	0.0724789
obstruction	0.0722892
accused	0.0722603
mismanagement	0.07226
crisis	0.0720993
scheme	0.0720718
slaying	0.0719512
Dismissal	0.0718942
delay	0.071845
practice	0.0714825
result	0.0714186
opinion	0.0713964
Death	0.0709962
conflict	0.070855
instance	0.0707843
campaign	0.0707496
accident	0.0704853
condemnation	0.0703325
description	0.0699052
Declaration	0.0695843
reaction	0.0694134
pattern	0.0693934
discovery	0.069369
harassment	0.0692028
intention	0.0687216
challenge	0.0686825
episode	0.0686377
assassination	0.068533
response	0.068369
letter	0.0682622
crises	0.068121
firing	0.0680154
misuse	0.0675335
grievance	0.0674909
motion	0.0670765
role	0.0670373
explanation	0.0670246
difficulty	0.0670117
plea	0.0669812
witness	0.0669144
discussion	0.0666815
this	0.066423
turmoil	0.0663889
extent	0.0661947
review	0.065978
resignation	0.0657022
sanction	0.0656928
lapse	0.065565
breach	0.0654483
aggression	0.0653102
scam	0.0652918
change	0.0652791
disagreement	0.0651486
crackdown	0.0647366
implication	0.064726
rhetoric	0.0646956
assumption	0.0646937
belief	0.0645346
stance	0.0644882
insistence	0.0643412
injury	0.0641782
condition	0.0639364
tale	0.0638392
scrutiny	0.0637593
debate	0.0636311
))
(allegiance (desc 21730) (sims
loyalty	0.191304
fealty	0.150529
devotion	0.103756
gratitude	0.079872
adherence	0.0766717
affiliation	0.076352
commitment	0.0762018
obedience	0.0738113
disloyalty	0.0730503
dedication	0.0672183
affection	0.0662969
willingness	0.0627418
attachment	0.0623735
closeness	0.0623634
preference	0.0622386
identity	0.0604671
determination	0.0596946
faithfulness	0.0579981
fidelity	0.057855
sympathy	0.0572151
desire	0.0570387
attention	0.0569998
faith	0.0558656
committment	0.0547351
rebuke	0.0546162
admiration	0.0532743
defection	0.0531063
aversion	0.0529266
neutrality	0.0525628
belief	0.0519864
continuity	0.0519476
animosity	0.0519003
homage	0.0517237
resentment	0.051669
anathema	0.0508163
passion	0.050416
disservice	0.0502154
hostility	0.0498485
solidarity	0.0496667
embarrassment	0.0494088
clout	0.049312
compassion	0.0492859
inclination	0.0492446
objection	0.0490105
"sense of duty"	0.0489629
resistance	0.0489074
sentiment	0.0488194
intention	0.0486836
affinity	0.0486776
deference	0.0485706
enthusiasm	0.0482731
reference	0.0480862
resemblance	0.0480778
pride	0.0480747
motivation	0.0475883
recognition	0.0475536
enmity	0.0472887
hatred	0.0472747
kinship	0.0472635
sovereignty	0.0471522
apology	0.0470323
"job security"	0.0469884
backing	0.0468791
patriotism	0.0468304
humility	0.0466952
disrespect	0.0466127
tribute	0.0465508
aspiration	0.0464492
distaste	0.0464088
legitimacy	0.0460806
assent	0.0460526
Innocence	0.045982
credential	0.0459593
obligation	0.0457176
ideology	0.0456085
friendship	0.0450531
reaction	0.0449489
"good will"	0.044771
relevance	0.0446834
"sense of responsibility"	0.0446768
antipathy	0.044468
bias	0.0444444
ambition	0.0443718
honesty	0.0442196
motive	0.0441712
courage	0.0440928
adherent	0.0440451
unity	0.0439477
tolerance	0.0439185
discipline	0.0439174
nod	0.0438857
concession	0.0436212
emotion	0.0430367
disgrace	0.042709
intent	0.0426786
representation	0.042307
condolence	0.0422671
capitulation	0.0421617
dignity	0.0419746
confidence	0.0418703
solicitude	0.0418556
ownership	0.0418411
confidentiality	0.0417515
sincerity	0.0416781
philosophy	0.0415977
"staying power"	0.0415708
prejudice	0.0415642
"olive branch"	0.0414694
ambivalence	0.0414231
appetite	0.0413486
perception	0.0412901
"open letter"	0.0412092
viewpoint	0.0411106
affront	0.0411079
traitor	0.0410337
citizenship	0.0410278
advice	0.0410246
kindness	0.0409076
Openness	0.0406999
disdain	0.0406046
supremacy	0.0405283
appreciation	0.0403531
acceptance	0.0402894
legacy	0.0402526
meaning	0.0402494
significance	0.0402143
frustration	0.0401014
))
(Allegory (desc 9685.62) (sims
parable	0.113141
fable	0.106278
tale	0.084482
satire	0.0721937
metaphor	0.0717395
"morality play"	0.0667796
"love story"	0.0663234
evocation	0.0655262
tableau	0.0630659
travelogue	0.061693
symbolism	0.0591452
fantasy	0.0590985
"piece of work"	0.0571913
epic	0.0566185
narrative	0.0563368
portrait	0.0563086
subtext	0.0551449
farce	0.0549284
Saga	0.0548323
abstraction	0.0542986
unreality	0.0540908
"object lesson"	0.0532511
"parlor game"	0.0526414
mystery	0.0524947
fiction	0.0514876
undercurrent	0.0506956
meditation	0.0496684
reflection	0.04965
depiction	0.0493016
abomination	0.047556
reminder	0.0471248
imagery	0.0465994
thriller	0.0460531
"point system"	0.0456951
poetry	0.0456628
homage	0.0448808
melodrama	0.0446457
Triptych	0.0446439
pastiche	0.0444255
trivia	0.0443413
myth	0.0443163
hymn	0.0442031
prophecy	0.04386
tragicomedy	0.043637
cliche	0.0433938
eccentricity	0.0433496
Masterworks	0.0429
whimsy	0.0427999
paradigm	0.0427893
anecdote	0.0425875
"best seller"	0.0425594
misconception	0.0425524
folklore	0.0423457
opulence	0.0423284
delusion	0.0419879
commentary	0.0418057
libretto	0.0418045
whodunit	0.0415014
memoir	0.04149
pronouncement	0.0413904
allusion	0.0412942
lyric	0.0409376
treatise	0.0409016
ballad	0.0408863
resonance	0.0408172
grandeur	0.0407633
illustration	0.0407084
inevitability	0.040695
counterpoint	0.0405122
poem	0.0404705
elegy	0.0403148
superstition	0.0402725
gibberish	0.0401902
eroticism	0.0401048
))
(Allen (desc 27002) (sims
Anderson	0.0979928
Robinson	0.0907465
Johnson	0.0900542
Jackson	0.0885554
Wilson	0.0883832
Moore	0.087969
smith	0.087572
Taylor	0.0873044
"Woody Allen"	0.0854002
Miller	0.0850127
Parker	0.0846741
Williams	0.0840153
"Paul Allen"	0.0834016
Davis	0.0831254
murphy	0.0823468
Spielberg	0.0814813
fisher	0.0784081
Hoffman	0.0783631
Roberts	0.0781529
Bryant	0.0780083
Thomas	0.0779296
martin	0.0769759
Brooks	0.0767754
duncan	0.076745
Thompson	0.0759018
Campbell	0.0756172
Russell	0.0756015
Scott	0.0754689
Richardson	0.0753969
Crowe	0.0753884
Lucas	0.0753432
Carter	0.0748942
Edwards	0.0745337
Stewart	0.0744395
Mitchell	0.0740227
marshall	0.0739496
Nelson	0.0739246
Howard	0.0735657
Phillips	0.0735364
Rogers	0.0734983
Jones	0.0732653
collins	0.0729181
Hitchcock	0.0722872
Gibson	0.0721212
Carroll	0.0721041
Lewis	0.0720588
Clark	0.0711828
Wilder	0.0707634
Murray	0.0706797
Cusack	0.0706564
Ellis	0.0704753
Blake	0.0702402
Sanders	0.0700857
Watson	0.0700481
Sullivan	0.0699244
Burke	0.0693793
Harris	0.0693047
Holmes	0.0691152
McDonald	0.0689061
Wang	0.0687317
Newman	0.0684372
Malone	0.0681446
Gates	0.0679885
Garnett	0.0679413
Rodriguez	0.0675541
Nash	0.0674979
Greene	0.0674481
harrison	0.0673958
Morris	0.0673812
Garcia	0.0673487
Alexander	0.0673132
Peterson	0.0672458
Vogel	0.0671815
Patterson	0.0670394
Steve	0.0667214
Hamilton	0.0667102
Clayton	0.0666359
Kaufman	0.0665595
turner	0.0665404
Burns	0.0662467
James	0.0659703
Coleman	0.0658482
Robert	0.0658286
Lee	0.0657669
Anthony	0.0656447
Armstrong	0.0656338
Glenn	0.0656106
tom	0.0654848
Cooper	0.0653829
Clement	0.0653562
Richard	0.0653167
Bennett	0.0652525
Snyder	0.0652229
Brock	0.0651988
George	0.0649348
Gordon	0.0649288
Torre	0.0649132
Goldberg	0.0649013
Kelly	0.0648487
Kenny	0.0648283
Macdonald	0.0646567
Adams	0.064636
David	0.0645331
Hartley	0.0645228
Pierce	0.064521
Gonzalez	0.0645155
Simon	0.0644271
Jim	0.0644117
walker	0.0642796
Francis	0.0642161
Kramer	0.06418
Welch	0.06412
O'Neal	0.0640131
Walsh	0.0639717
Cole	0.0639513
Brown	0.0639257
douglas	0.0639135
Iverson	0.0639083
Ross	0.0635627
Skakel	0.0635551
Chan	0.0635114
Palmer	0.0634698
Lopez	0.0633731
John	0.0633468
Steele	0.0632341
Wallace	0.0631973
Payne	0.0629884
Cunningham	0.0629263
Bobby	0.0628532
Kennedy	0.062778
Kaplan	0.0627042
Avery	0.0627021
Ramirez	0.0626396
Pfeiffer	0.062626
Payton	0.0625845
Elliott	0.0625366
Joe	0.062477
Hart	0.0624539
McPherson	0.0623633
Winkler	0.0623447
Graham	0.0623243
Richards	0.0622438
mike	0.0622105
Evans	0.0620978
Leigh	0.0620459
Freeman	0.0620226
Rosenberg	0.0619197
Kelley	0.0618821
Stevens	0.0618247
Reeves	0.0617166
Klein	0.0616705
Cheney	0.0616564
Foster	0.0616089
Mcbride	0.0615654
Lawrence	0.0614695
Mann	0.0614312
Ackerman	0.0613752
Bruce	0.0613711
Frank	0.0612688
Levin	0.0612649
Michael	0.0612547
she	0.0612474
MARBURY	0.0612469
Jenkins	0.0612452
Martinez	0.0611257
Hardaway	0.0611246
Walton	0.0610923
Simpson	0.0610684
McLaughlin	0.0610423
Leonard	0.0609518
Ferguson	0.0607038
Eastwood	0.0606992
Raymond	0.0606501
Elway	0.0605501
Perkins	0.0605041
Higgins	0.060418
Barnes	0.0603809
Wright	0.0603742
Dixon	0.060318
Shaw	0.060214
Sampson	0.0602035
Goldstein	0.060146
O'Brien	0.0600918
Baker	0.0600292
Chris	0.0599841
Riley	0.0599782
Sanchez	0.0599412
Phil	0.0599329
Hewitt	0.0599064
Tim	0.059874
Lieberman	0.0596035
Foley	0.0595879
Mason	0.0595859
Bowden	0.0595435
Stanley	0.0595187
Cooke	0.0595173
Finley	0.0594714
Myers	0.0594505
Perez	0.0593777
Gardner	0.059363
))
("Allen Doyle" (desc 1535.58) (sims
"Dana Quigley"	0.215952
"Jim Colbert"	0.203333
"Hale Irwin"	0.19593
"Jay Sigel"	0.169892
"Gil Morgan"	0.165869
"Isao Aoki"	0.156268
"Larry Nelson"	0.149568
"Dave Stockton"	0.128942
"Lee Trevino"	0.102192
"Raymond Floyd"	0.0940154
"Bruce Fleisher"	0.0880302
"Gary Player"	0.085336
"Tom Kite"	0.082693
"David Graham"	0.0798379
"Arnold Palmer"	0.0666082
Maruyama	0.0646049
"Johnny Miller"	0.0606851
Hoch	0.0605553
"Tom Watson"	0.0547463
"Jesper Parnevik"	0.0545663
"Sherri Steinhauer"	0.0512888
Majerle	0.0483122
"Davis Love"	0.0482727
"Jack Nicklaus"	0.0478706
Cink	0.0477311
"Jeff Sluman"	0.0474192
"Loren Roberts"	0.0472621
"Justin Rose"	0.0466488
"Davis Love III"	0.0459725
Ozaki	0.0456046
Appleby	0.0453436
"Betsy King"	0.0448566
Karlsson	0.0448153
Hsieh	0.0444061
"Lee Janzen"	0.0439624
"Scott Goodyear"	0.043141
"Nick Price"	0.0423707
"Mark Calcavecchia"	0.0423149
"Chris Johnson"	0.0421811
Gump	0.0418462
Szabo	0.0415649
"Red Star Belgrade"	0.0411455
stoker	0.0405801
bagpiper	0.0404443
Stadler	0.0400086
))
("Allen Ginsberg" (desc 2771.06) (sims
"Jack Kerouac"	0.215552
Ginsberg	0.189496
"Robert Frost"	0.0947857
"Sylvia Plath"	0.0900239
"Maya Angelou"	0.082506
"John Irving"	0.0759303
"Langston Hughes"	0.0755978
"Gore Vidal"	0.0745539
"Walt Whitman"	0.0720739
"Ted Hughes"	0.0719383
"Lillian Hellman"	0.0674316
"Philip Glass"	0.0652027
"Robert Wilson"	0.064415
"T.S Eliot"	0.0632733
Horace	0.0623098
"William Styron"	0.0590188
"Victor Hugo"	0.0561746
"Patti Smith"	0.0550895
"Norman Mailer"	0.0544372
"Laurie Anderson"	0.0524992
"Ray Charles"	0.05232
"Isaac Stern"	0.0517785
"Seamus Heaney"	0.0497843
"Richard Pryor"	0.0489048
Longo	0.0470561
"Gertrude Stein"	0.0469109
"Merce Cunningham"	0.0464384
"Saul Bellow"	0.0435876
"gray wolf"	0.0432864
"Richard Wright"	0.0430588
"Eugene O'Neill"	0.0423475
"Bob Dylan"	0.0418816
"Michael Weiss"	0.0418608
"Franklin D. Roosevelt"	0.0415553
"Lou Reed"	0.0405075
"Susan Sontag"	0.0405069
"David Irving"	0.0404813
))
("Allen Iverson" (desc 11774.7) (sims
"Kevin Garnett"	0.242691
"Ray Allen"	0.228186
"Grant Hill"	0.211918
"Gary Payton"	0.20675
"Kobe Bryant"	0.19906
"Stephon Marbury"	0.192573
"Alonzo Mourning"	0.190888
"Jason Kidd"	0.186985
"Penny Hardaway"	0.184665
"Reggie Miller"	0.183128
"Allan Houston"	0.181032
"Tim Duncan"	0.175487
"Mitch Richmond"	0.17159
"Shareef Abdur-Rahim"	0.171496
"Steve Smith"	0.167046
"Tim Hardaway"	0.166829
"Vince Carter"	0.164392
"Shaquille O'Neal"	0.15938
"Eric Snow"	0.15819
"Jason Williams"	0.158065
"Glen Rice"	0.157418
"Kerry Kittles"	0.152719
"Eddie Jones"	0.150467
"Damon Stoudamire"	0.150301
"Vin Baker"	0.149985
"Antoine Walker"	0.149416
"Chris Webber"	0.148812
"Juwan Howard"	0.148518
"Glenn Robinson"	0.147885
"Darrell Armstrong"	0.144917
"Tom Gugliotta"	0.143701
"Toni Kukoc"	0.141428
"Larry Hughes"	0.140704
"Karl Malone"	0.140466
Iverson	0.140135
"Hakeem Olajuwon"	0.139526
"David Robinson"	0.139258
"Shawn Kemp"	0.139126
"Terrell Brandon"	0.139122
"Vlade Divac"	0.136481
"Latrell Sprewell"	0.135882
"John Stockton"	0.132744
"Mike Bibby"	0.131048
"Jerry Stackhouse"	0.130456
"Tracy McGrady"	0.13021
"Antonio McDyess"	0.126225
"Keith Van Horn"	0.125973
"Scottie Pippen"	0.125613
"Ron Harper"	0.125251
"Patrick Ewing"	0.125063
"Nick Van Exel"	0.118902
"Rasheed Wallace"	0.118048
"Antawn Jamison"	0.117947
"Jalen Rose"	0.117269
"Charles Barkley"	0.117003
"Theo Ratliff"	0.114632
"Nick Anderson"	0.114173
"Larry Johnson"	0.113597
"Kenny Anderson"	0.112962
"Isaiah Rider"	0.112137
"Marcus Camby"	0.111665
"Dikembe Mutombo"	0.110724
"Michael Finley"	0.110524
"Rex Chapman"	0.11028
"Anfernee Hardaway"	0.109063
"Paul Pierce"	0.108797
"Jayson Williams"	0.107707
"Robert Horry"	0.106952
"Mark Jackson"	0.100051
"Sam Cassell"	0.0994616
"Matt Geiger"	0.0973637
"Avery Johnson"	0.0961059
Kidd	0.0956945
"Cliff Robinson"	0.0956707
"Joe Dumars"	0.0945798
"Zydrunas Ilgauskas"	0.0943687
"Mookie Blaylock"	0.0934703
"Jim Jackson"	0.0934283
"Dennis Rodman"	0.0933317
"Derek Fisher"	0.0927001
"Robert Traylor"	0.0923755
"Derek Anderson"	0.091684
"Chris Childs"	0.0915805
"Michael Jordan"	0.0912419
"Matt Santangelo"	0.0910645
"Ron Mercer"	0.0899482
"Eric Lindros"	0.0898233
"Michael Dickerson"	0.0891042
"Richard Hamilton"	0.0880693
"Brian Grant"	0.0868661
"Kendall Gill"	0.0856538
"Rod Strickland"	0.0841107
"Donyell Marshall"	0.0837068
"Derrick Coleman"	0.0835911
"Wilt Chamberlain"	0.0835693
"Cynthia Cooper"	0.0830828
"Rick Fox"	0.0829826
"Vernon Maxwell"	0.0826939
Bryant	0.0811056
O'Neal	0.0810451
"Jason Terry"	0.0809895
"Christian Laettner"	0.080909
"Clyde Drexler"	0.0808615
"Derek Harper"	0.0806204
"Shammond Williams"	0.0805626
"Clifford Robinson"	0.0799747
"Luc Longley"	0.0795447
Kukoc	0.0786483
"Mateen Cleaves"	0.0784636
Garnett	0.0784423
"Charlie Ward"	0.078121
"Hersey Hawkins"	0.0776128
"Dan Majerle"	0.0771822
Hardaway	0.0766191
"Steve Francis"	0.0764097
duncan	0.0761936
Sprewell	0.0760132
"Brent Barry"	0.0758006
"Greg Anthony"	0.0757456
"Doug Christie"	0.0754464
"Dominique Wilkins"	0.0751592
"Kevin Johnson"	0.0751485
"Jaromir Jagr"	0.075
"Kurt Thomas"	0.0749979
"Arvydas Sabonis"	0.0741972
"Brevin Knight"	0.0741856
"Brian Shaw"	0.0739201
"Bobby Phills"	0.0738894
"John LeClair"	0.0738744
"Travis Best"	0.0734644
"Dennis Scott"	0.0732204
"Hu Weidong"	0.0731998
"Khalid El-Amin"	0.072861
"Nikki McCray"	0.0716671
"Terry Porter"	0.07149
"Jimmy Oliver"	0.0714396
"Darrick Martin"	0.0713747
"Jumaine Jones"	0.0708922
"Teresa Weatherspoon"	0.0703667
"Corliss Williamson"	0.0703466
MARBURY	0.0696007
"Baron Davis"	0.0694567
"Lisa Leslie"	0.0694229
Pippen	0.0689726
"Sam Mack"	0.0689162
"Sun Wen"	0.0688911
"Erick Barkley"	0.0686888
"Jamal Mashburn"	0.0684053
"Ron Artest"	0.0683616
"Brandon Granville"	0.0682557
"Magic Johnson"	0.068134
"Ziggy Palffy"	0.0678391
Stoudamire	0.0676774
"Isiah Thomas"	0.0674399
"Van Horn"	0.0672821
"Mia Hamm"	0.0672522
"Scoonie Penn"	0.067079
"Elton Brand"	0.0665776
"Kim Perrot"	0.0665113
Kittles	0.0662759
"Bonzi Wells"	0.0660607
"Sherman Douglas"	0.0655586
"Paul Kariya"	0.0655266
Ewing	0.0653941
"Mike Modano"	0.0650493
"Jeff Trepagnier"	0.0649704
"Voshon Lenard"	0.0646117
"Bob Sura"	0.0644743
"Kareem Abdul-Jabbar"	0.0640192
"George McCloud"	0.0634917
Olajuwon	0.0634444
"Cuttino Mobley"	0.0632944
Mashburn	0.0632429
"Andre Miller"	0.0630456
"Alan Henderson"	0.0629226
Cleaves	0.0628936
"Joe Smith"	0.0628022
"Curt Schilling"	0.0625696
"Steve Kerr"	0.0623633
Romario	0.0623336
"Trajan Langdon"	0.0622721
"Cedric Ceballos"	0.0620278
"Ricky Moore"	0.0619714
"Jennifer Gillom"	0.0615675
Szczerbiak	0.0615184
"Randy Brown"	0.061309
"Rebecca Lobo"	0.0610233
"Donovan McNabb"	0.061011
"David Wesley"	0.0607846
"Anthony Mason"	0.060337
"Sheryl Swoopes"	0.0601884
"Howard Eisley"	0.0599836
"Detlef Schrempf"	0.0596158
"Julius Erving"	0.059465
"Mario Elie"	0.059459
"Eric Murdock"	0.0594431
"Jeremy Roenick"	0.059361
Nailon	0.0593436
"Steve Young"	0.0592972
"John Calipari"	0.0592212
))
("Allen Johnson" (desc 3148.4) (sims
"Derrick Adkins"	0.36893
"Mark Crear"	0.34037
"Gail Devers"	0.293381
"Colin Jackson"	0.282477
"John Godina"	0.275268
"Maurice Greene"	0.262747
"Charles Austin"	0.25981
"Linford Christie"	0.257736
"Inger Miller"	0.253984
"Deon Hemmings"	0.253343
"Donovan Bailey"	0.252
"Michael Johnson"	0.246953
"Irina Privalova"	0.241149
"Tom Dolan"	0.234707
Devers	0.232075
"Frankie Fredericks"	0.223861
"Deborah Compagnoni"	0.221807
"Alexander Popov"	0.221432
"Fatuma Roba"	0.219484
"Fu Mingxia"	0.219149
"Dan O'Brien"	0.214125
"Marie-Jose Perec"	0.212514
"Jenny Thompson"	0.210933
"Angelo Taylor"	0.210495
"Cathy Freeman"	0.209434
"Li Jiajun"	0.209185
Shuwei	0.208482
"Oksana Kazakova"	0.206929
"Kim Batten"	0.205767
"Chen Lu"	0.205615
"Wang Yifu"	0.203355
"Marion Jones"	0.202608
"Liu Guoliang"	0.19645
"Brooke Bennett"	0.194858
"Deng Yaping"	0.194114
"Ato Boldon"	0.193342
"Elena Berezhnaya"	0.193052
"Ge Fei"	0.1928
"Svetlana Masterkova"	0.188792
"Jackie Joyner-Kersee"	0.188391
"Claudia Poll"	0.187625
"Denis Pankratov"	0.187214
"Yu Zhuocheng"	0.186318
"Michelle Kwan"	0.185923
"Sandra Voelker"	0.185711
"Pernilla Wiberg"	0.185316
"Dennis Mitchell"	0.184808
"Alexei Nemov"	0.184136
"Lenny Krayzelburg"	0.183317
"Picabo Street"	0.183204
"Kieren Perkins"	0.180496
"Le Jingyi"	0.178418
"Susie O'Neill"	0.178213
"Felix Savon"	0.177766
"Stacy Dragila"	0.177634
"Paul Tergat"	0.177345
"Amy van Dyken"	0.177149
"Gary Hall"	0.176689
"Katja Seizinger"	0.176659
"Maria Butyrskaya"	0.176344
"Kong Linghui"	0.175485
"Todd Eldredge"	0.175464
"Merlene Ottey"	0.173628
"Alexei Urmanov"	0.172596
"Fiona May"	0.170359
"Tara Lipinski"	0.170152
"Bruny Surin"	0.16929
"Penny Heyns"	0.16699
"Irina Slutskaya"	0.165994
"Liu Limin"	0.165218
"Susi Susanti"	0.163063
"Thomas Stangassinger"	0.161855
"Gary Hall Jr."	0.161552
"C.J Hunter"	0.160512
"Daniel Kowalski"	0.160327
"Simona Amanar"	0.160047
"Moses Tanui"	0.157756
"Ricky Subagja"	0.156848
"Svetlana Khorkina"	0.156109
"Oksana Baiul"	0.155505
"Alexei Yagudin"	0.155324
"Laurent Brochard"	0.154594
"Alberto Tomba"	0.153077
"Wang Tao"	0.152896
"Wilson Kipketer"	0.15154
"Maria Mutola"	0.151297
"Vanessa Atler"	0.151157
"Blaine Wilson"	0.149864
"Hiroyasu Shimizu"	0.149799
"Xiong Ni"	0.149671
"Peter Rasmussen"	0.149368
"Michelle Smith"	0.149354
"Tommi Makinen"	0.148507
"Ye Zhaoying"	0.148197
"Heike Drechsler"	0.147234
"Jean-Philippe Gatien"	0.146637
"Hilde Gerg"	0.146598
"Carl Lewis"	0.145303
"Gunda Niemann-Stirnemann"	0.144707
"Wang Junxia"	0.144587
"Chen Jing"	0.14448
"Noureddine Morceli"	0.143037
"Dong Jiong"	0.142999
"Michael Klim"	0.141882
"Jonathan Stark"	0.141686
"Regina Jacobs"	0.141191
"Elvis Stojko"	0.140577
"Hicham El Guerrouj"	0.140358
"Rodney Eyles"	0.139881
"Buster Douglas"	0.139677
"Javier Sotomayor"	0.138842
"Lindsay Davenport"	0.1384
"Sonia O'Sullivan"	0.138309
"Michael Von Gruenigen"	0.137944
"Heryanto Arbi"	0.137784
"Haile Gebrselassie"	0.137767
"Lasse Kjus"	0.137019
"Colin McRae"	0.136703
"Lin Li"	0.136301
"Khalid Khannouchi"	0.135921
"David Reid"	0.135627
"Hermann Maier"	0.13386
"Samantha Riley"	0.133515
"Shannon Miller"	0.133162
"Jennifer Capriati"	0.132945
"Yang Yang"	0.132935
"Jonathan Edwards"	0.132905
"Amy Frazier"	0.13253
"Marc Rosset"	0.132444
"Jan-Ove Waldner"	0.13223
"Jacques Villeneuve"	0.130125
"Katarina Witt"	0.129969
"Renate Goetschl"	0.129901
"Grant Hackett"	0.129587
"Gabriela Szabo"	0.128736
"Rexy Mainaky"	0.127795
"Garry Kasparov"	0.127759
"Randy Barnes"	0.126988
"Jorgen Persson"	0.126773
"Jansher Khan"	0.125606
Popov	0.125577
"Abraham Olano"	0.12544
"world record-holder"	0.124963
"Chen Yan"	0.124573
Sautin	0.124067
"Al Joyner"	0.123657
"Russian Yevgeny Kafelnikov"	0.123597
"Ivan Pedroso"	0.123305
Ottey	0.123176
"Daniel Komen"	0.123089
"Anjelika Krylova"	0.122705
"Bjarte Engen Vik"	0.122231
"Tara Snyder"	0.122197
"Dominique Moceanu"	0.121252
"Tegla Loroupe"	0.120938
"Florence Griffith Joyner"	0.120434
Khorkina	0.120298
titlists	0.120231
"Jon Drummond"	0.119972
"Chris Woodruff"	0.119234
"Anatoly Karpov"	0.119234
"Martina Ertl"	0.119102
Maier	0.117885
"Chris Boardman"	0.117541
"Nancy Kerrigan"	0.1172
"Jeremy Wotherspoon"	0.117174
Susanti	0.116846
"Michael Chang"	0.116572
"Johan Museeuw"	0.116248
Boldon	0.116111
"Monica Seles"	0.115825
"Doug Walker"	0.115124
"Andre Agassi"	0.114808
"Damon Hill"	0.114526
"Richey Reneberg"	0.114397
"Jimmy Vasser"	0.113926
Zelezny	0.113718
"Marina Anissina"	0.113367
"Guo Jingjing"	0.112945
"Ivan Ivankov"	0.112889
"Iwan Thomas"	0.112816
"Max Biaggi"	0.112586
"American Pete Sampras"	0.112456
"Vincent Spadea"	0.112179
"Peter Gade Christensen"	0.111959
"Mia Audina"	0.11118
"Alex Zanardi"	0.111174
"Peter Nicol"	0.110433
"Ian Thorpe"	0.109836
"Koji Ito"	0.108919
"Pat Rafter"	0.108315
"Gong Ruina"	0.107994
"MIka Hakkinen"	0.107755
"Anita Wachter"	0.10704
"Roy Jones Jr."	0.107035
"Lance Armstrong"	0.107025
"Eddie Cheever"	0.106932
"Mary Joe Fernandez"	0.106867
"Steve Backley"	0.106611
"Liu Xuan"	0.106407
"Frank Bruno"	0.106117
"Michael Doohan"	0.105685
"MaliVai Washington"	0.105312
"American Lindsay Davenport"	0.104916
"Chen Hua"	0.104542
Longo	0.10438
"Juha Kankkunen"	0.104191
"Miguel Indurain"	0.104125
"Carlos Sainz"	0.1036
"Serena Williams"	0.103532
"Patrick Rafter"	0.103481
"Cheah Soon Kit"	0.102818
"Jimmy Connors"	0.102726
"Christine Arron"	0.102722
"Gong Zhichao"	0.10267
"Corina Morariu"	0.101816
Seizinger	0.101187
"Jeff King"	0.100941
"Johnny Tapia"	0.100567
Klim	0.100501
))
("Allen Watson" (desc 2401) (sims
"Jason Grimsley"	0.279533
"Jeff Nelson"	0.278484
"Ramiro Mendoza"	0.272043
"Mike Stanton"	0.269467
"Kent Mercker"	0.261545
"Mark Langston"	0.248402
"Graeme Lloyd"	0.24614
"Dennis Cook"	0.239559
"Scott Karl"	0.229742
"Darren Holmes"	0.22159
"Scott Schoeneweis"	0.217273
"Randy Myers"	0.21633
"Alan Embree"	0.215897
"Steve Sparks"	0.214312
"Rich Rodriguez"	0.207678
"Mark Guthrie"	0.206086
"Terry Mulholland"	0.202036
"Rheal Cormier"	0.19987
"Ramon Ortiz"	0.199857
"Greg Swindell"	0.199268
"Chuck McElroy"	0.196699
"Mariano Rivera"	0.194499
"Jesse Orosco"	0.19401
"Hideki Irabu"	0.193199
"Ron Villone"	0.187334
"Mike Holtz"	0.186492
"Jason Dickson"	0.186187
"Greg McMichael"	0.185489
"Brian Bohanon"	0.184921
"Frankie Rodriguez"	0.183752
"Ed Yarnall"	0.183161
"Jason Christiansen"	0.183009
"Mike Magnante"	0.182827
"Jarrod Washburn"	0.182068
"Mike Remlinger"	0.182036
"Arthur Rhodes"	0.179049
"Kirk Rueter"	0.17791
"Shigetoshi Hasegawa"	0.17682
"Turk Wendell"	0.174377
"Paul Spoljaric"	0.173378
"Pedro Borbon"	0.173034
"Mark Petkovsek"	0.172986
"Pat Mahomes"	0.17177
"Odalis Perez"	0.171484
"Eric Gunderson"	0.171189
"Eric Milton"	0.169332
"Jack McDowell"	0.168489
"Omar Olivares"	0.166501
"Bryce Florie"	0.164432
"Scott Radinsky"	0.162516
"Al Leiter"	0.162337
"Shawn Estes"	0.162254
"Gregg Olson"	0.161551
"Sterling Hitchcock"	0.161258
"Al Levine"	0.161026
"Jeff Fassero"	0.160187
"Byung-Hyun Kim"	0.159933
"Mike Venafro"	0.156918
"Rich Garces"	0.156636
"Brian Cooper"	0.1557
"Ken Hill"	0.155517
"John Halama"	0.15547
"Brian Anderson"	0.154404
"Tim Belcher"	0.153943
"Andy Pettitte"	0.153934
"Kent Bottenfield"	0.153683
"Brett Hinchliffe"	0.153447
"Chuck Finley"	0.152932
"Pete Schourek"	0.152441
"Dwight Gooden"	0.152255
"Wilson Alvarez"	0.151607
"Jamie Moyer"	0.151255
"Bruce Chen"	0.150219
"Darren Oliver"	0.148396
"Mark Gardner"	0.146655
"John Franco"	0.146443
"Jim Parque"	0.144368
"Doug Davis"	0.14417
"Justin Thompson"	0.143289
"Russ Springer"	0.142105
"Dennis Reyes"	0.141313
"Vladimir Nunez"	0.139016
"Rick Aguilera"	0.138492
"Troy Percival"	0.137295
"Armando Reynoso"	0.137209
"Mark Leiter"	0.135544
"Onan Masaoka"	0.135274
"Scott Williamson"	0.134992
"Tom Candiotti"	0.133898
"Armando Benitez"	0.133426
Mahomes	0.131228
"Matt Perisho"	0.130991
"Russ Ortiz"	0.130306
"Omar Daal"	0.129757
"Paul Abbott"	0.129499
"Ken Cloude"	0.128902
"Octavio Dotel"	0.128901
"Dave Mlicki"	0.128468
"Steve Avery"	0.127912
"Paul Shuey"	0.127482
"Rolando Arrojo"	0.126629
"Jose Paniagua"	0.124976
"Jose Jimenez"	0.124745
"Rick White"	0.124627
"Jason Isringhausen"	0.123926
"Jay Powell"	0.123304
"Jeff Williams"	0.122721
"Danny Graves"	0.122575
"Jamie Arnold"	0.122028
"Kevin Appier"	0.122014
"Mac Suzuki"	0.121881
"Kenny Rogers"	0.120832
"Robb Nen"	0.120724
"Carlos Perez"	0.120473
"Hideo Nomo"	0.120018
"Orel Hershiser"	0.119702
"Jeff Weaver"	0.118006
"Denny Neagle"	0.117386
"Ricky Bottalico"	0.117266
"Mark Clark"	0.117175
"John Burkett"	0.116835
"Jose Mesa"	0.116432
"Heathcliff Slocumb"	0.11638
"Billy Wagner"	0.114628
"Jesus Sanchez"	0.114043
"Mike Hampton"	0.113751
"Jim Corsi"	0.113307
"John Hudek"	0.113248
"Mike Timlin"	0.113203
"Mike Sirotka"	0.113192
"Donne Wall"	0.112563
"Robinson Checo"	0.111823
"Brett Tomko"	0.11173
"Matt Morris"	0.111155
"Mel Rojas"	0.110954
"Rick Reed"	0.110548
Olivares	0.110413
"Willie Blair"	0.109751
"Matt Mantei"	0.109514
"Rudy Seanez"	0.108501
"Mike Judd"	0.108434
"Bill Pulsipher"	0.108401
"Seth Etherton"	0.107849
"Brian Rose"	0.107763
"DOUG JONES"	0.107252
"Tim Wakefield"	0.107147
"Jon Lieber"	0.107004
"Billy Taylor"	0.106674
"Mike Morgan"	0.106208
"Doug Henry"	0.105769
"Mike Fetters"	0.105625
"Orlando Hernandez"	0.105198
"Chris Carpenter"	0.104891
"Matt Franco"	0.104025
"Dennis Martinez"	0.103282
"Dave Burba"	0.102938
"Bobby Jones"	0.102643
"Jaret Wright"	0.102467
"Woody Williams"	0.102024
Etherton	0.101849
"Derek Lowe"	0.101304
"Masato Yoshii"	0.101257
"Terry Adams"	0.100858
"David Wells"	0.100751
"Pete Harnisch"	0.100403
"Ryan Glynn"	0.100302
"Todd Jones"	0.0998129
Checo	0.0997382
"Matt Herges"	0.0988008
Grimsley	0.0986818
"Rod Beck"	0.0978236
"Jamey Wright"	0.09755
"Joey Hamilton"	0.0973543
"Dan Miceli"	0.0972892
"Kevin McGlinchy"	0.0963266
"Jorge Posada"	0.0961156
"John Rocker"	0.096018
"Javier Vazquez"	0.0949226
"Dustin Hermanson"	0.094756
"Kazuhiro Sasaki"	0.0945492
"Brian Moehler"	0.0941734
Burba	0.0939102
"Pat Rapp"	0.0938679
"Tim Crabtree"	0.0932675
Schourek	0.0930672
"STEVE WOODARD"	0.0928869
"John Wasdin"	0.0923832
Borbon	0.0923092
Wendell	0.0921055
"Carl Pavano"	0.0919817
"Dennis Eckersley"	0.0905816
"Roberto Hernandez"	0.0903293
"Mark Wohlers"	0.0902636
Cormier	0.0901628
"Francisco Cordero"	0.0901471
"Alex Fernandez"	0.0896786
"Kevin Tapani"	0.0895386
"Juan Guzman"	0.089463
"Kerry Ligtenberg"	0.0894345
"Mark Portugal"	0.0893776
))
(Allende (desc 2767.31) (sims
Hamlin	0.107152
Aquino	0.103947
Mobutu	0.100878
shah	0.0972903
Buyoya	0.0967015
Kabbah	0.0963012
Ceausescu	0.0955468
Chaudhry	0.0935902
Noriega	0.0932177
Ono	0.0927102
Merritt	0.0922802
Betts	0.0909095
Aristide	0.0908483
Marcos	0.0906092
Djukanovic	0.0903705
Mitterrand	0.0897719
Rabbani	0.0880533
Berenson	0.0874088
Molinari	0.0873205
Fahey	0.0871943
Tilberis	0.0864961
"Pol Pot"	0.085588
Fiorina	0.0853138
Poplasen	0.0834813
"Idi Amin"	0.083441
Chappell	0.0829809
Carmichael	0.0819342
Starovoitova	0.0818477
Vieira	0.0818004
Puente	0.0816345
Webdale	0.0814243
Guerin	0.0809492
Castro	0.0806484
Machel	0.0803496
"Mobutu Sese Seko"	0.0801672
Rabin	0.07981
Seltzer	0.0790683
Salinger	0.0789512
Obasanjo	0.0788993
Menem	0.0788531
Sandinista	0.0785865
Mahuad	0.0785014
Byrdsong	0.078261
Swenson	0.0782555
Wilkerson	0.0779415
Bhutto	0.0774333
Northup	0.076378
Hadley	0.0762357
Scruggs	0.0761749
Oliveira	0.0761292
Rushdie	0.0755772
Stahl	0.0753178
Mortimer	0.075246
Fuente	0.0751815
McFadden	0.0750361
"Fidel Castro"	0.0746002
Atkinson	0.0742163
DeFrantz	0.0741431
Hobson	0.0739909
"Saddam Hussein"	0.0738722
Sheehy	0.0738428
Maskhadov	0.0731665
Dudayev	0.0727463
Klerk	0.0726339
Boyle	0.0722596
Aideed	0.0721967
Bedie	0.0721466
Britton	0.0717755
Gargan	0.0715895
Pearce	0.0715119
Blackmun	0.0706812
Seymour	0.0706575
Kurtz	0.0705813
Zuckerman	0.0704406
Rowan	0.0701785
Borges	0.0700127
Abacha	0.0699936
krueger	0.0699583
Abram	0.0695604
Ellison	0.0693354
Meissner	0.0692869
Lindbergh	0.0691224
Burgos	0.0687799
Halloran	0.068551
Ouattara	0.0680848
Faulkner	0.0680642
Samper	0.0680381
Nasser	0.0678316
Mugabe	0.0678268
Schott	0.067771
Sukarno	0.067648
Fujimori	0.067619
Farber	0.0676177
Suarez	0.0675819
Mello	0.0675576
Rowley	0.0674663
Crockett	0.0673655
Grunwald	0.0672978
Knapp	0.067191
Garber	0.0670905
Tudjman	0.0670341
Arron	0.0664156
Feldman	0.0663683
Gilligan	0.0660965
Henley	0.0660701
Rosen	0.0657642
Kirkpatrick	0.0657113
Rothschild	0.0657039
Garza	0.0656381
Harman	0.0655992
Marchand	0.0654669
Cline	0.0654048
Bondevik	0.0653233
Duvalier	0.0653117
Zhivkov	0.0651766
Arbour	0.0651078
Farrell	0.0649866
Maynard	0.0649753
Forrest	0.0647765
Saddam	0.0646913
Barad	0.06467
"United National Party"	0.0644346
Speight	0.0644143
Holzman	0.0642815
Sharif	0.064031
"Khmer Rouge"	0.0639849
Vasquez	0.0639016
"Afghan Taliban"	0.0638953
Amato	0.0637356
Wasserstein	0.0636423
Orton	0.0635464
Witt	0.0634993
Rua	0.0634192
Suharto	0.063213
O'Sullivan	0.0629858
Jaffe	0.0629816
Phills	0.0629729
Samuelson	0.06286
Batista	0.062857
Copeland	0.0627015
Nasrin	0.0626504
Vogel	0.0624018
Isner	0.0623928
"Mohamed Siad Barre"	0.0623634
Abiola	0.0622453
Cubas	0.0621795
"Laurent Kabila"	0.0621234
Lowry	0.0619807
Briscoe	0.0618735
McCormack	0.0618434
Hartley	0.0618057
Patten	0.0617635
RFK	0.0617506
Ricart	0.0616781
Haines	0.0616241
Ashrawi	0.061582
Mathews	0.0615583
Castaneda	0.0614971
Adair	0.0614376
McIntyre	0.0613692
Plavsic	0.0613354
Sund	0.0611303
Duffy	0.0610893
Heche	0.0610455
Postel	0.0608375
"Lokendra Bahadur Chand"	0.0608269
"Nationalist Party"	0.060738
Flores	0.0606598
Morrison	0.0605794
BJP	0.0604599
Aidid	0.0604499
COYNE	0.0603561
Benton	0.060271
Aleman	0.060175
Meciar	0.0600641
Pfeiffer	0.0600336
Grossman	0.0600079
Vasile	0.059889
Simons	0.0598064
Lockwood	0.0598058
Shipley	0.0595686
Guei	0.0595584
Herrera	0.059541
McDonnell	0.059451
Henning	0.0594186
Khatami	0.0594142
Arias	0.05935
Burgess	0.0593481
Horne	0.0593241
Schroder	0.0592806
Godwin	0.059138
Hess	0.0588758
Morley	0.0587605
Sykes	0.0587478
Chand	0.0587459
Ivey	0.0587015
Flynn	0.0585741
Cobain	0.0583296
Sorensen	0.0581139
Trudeau	0.0580523
))
(Allentown (desc 2591.15) (sims
Easton	0.161427
Harrisburg	0.153386
Scranton	0.15112
Williamsport	0.132286
Nazareth	0.113655
Norcross	0.105758
Farmington	0.1027
Middletown	0.0985593
Erie	0.0969692
Lawrenceville	0.096287
Englewood	0.0939364
Carlisle	0.0936992
Oakmont	0.0934335
Chester	0.0899792
Yonkers	0.0893631
Wallingford	0.0866875
"Union City"	0.0855002
Hershey	0.0842292
Emeryville	0.0824284
"Fort Lee"	0.0821141
LAKEWOOD	0.0814342
"Walnut Creek"	0.0808878
Duluth	0.0803245
Morristown	0.0799939
Utica	0.0798543
"Simi Valley"	0.0795651
Spokane	0.0789233
Claremont	0.0786742
Northampton	0.0784673
Wichita	0.0780731
Smyrna	0.0779538
Jenin	0.077926
Hillsboro	0.0770357
"Port St. Lucie"	0.0767711
"West Orange"	0.0766793
"South San Francisco"	0.0764555
"Jersey City"	0.07547
Peoria	0.0754268
Danville	0.0752783
"San Rafael"	0.0730921
Braintree	0.072929
Jericho	0.0723787
"Virginia Beach"	0.0721314
Somerville	0.0720049
Dearborn	0.0718145
Waltham	0.07033
Quincy	0.0688195
Albany	0.0682036
"East Orange"	0.0680461
Akron	0.0677082
Marietta	0.0675976
Sunnyvale	0.067491
Devon	0.0672832
Framingham	0.0672818
"Garden City"	0.0668073
Stamford	0.0667943
York	0.0661444
"Baton Rouge"	0.0656437
Wayne	0.065388
Pittsfield	0.065215
Lynchburg	0.0649726
"Santa Monica"	0.0649648
"Silver Spring"	0.0649318
Woburn	0.0648822
Youngstown	0.06467
Lenexa	0.064618
"Colorado Springs"	0.0641057
"Westchester County"	0.064066
"Delray Beach"	0.0640423
"Rockland County"	0.0638694
Nablus	0.0637054
"Oklahoma City"	0.0636053
Burlington	0.0633846
Charlottesville	0.0632381
Fremont	0.0626355
Spartanburg	0.0626144
Pocono	0.0626046
"Westlake Village"	0.0619753
"White Plains"	0.0618898
"Des Moines"	0.0617839
Provo	0.0613854
Chatham	0.0610614
Nashua	0.0608458
"Sherman Oaks"	0.0607429
Lansing	0.0605006
Bensonhurst	0.0602199
Bethlehem	0.060128
Villanova	0.0600486
Medford	0.0594697
Plano	0.0592394
Dorchester	0.059232
Gettysburg	0.059078
Ramallah	0.0589902
"Long Beach"	0.0586711
Milford	0.0585226
"Palm Beach Gardens"	0.0581377
Rochester	0.058083
Burlingame	0.0580022
"Ann Arbor"	0.0579828
Alpharetta	0.05781
Topeka	0.0575969
Wilmington	0.0575735
"Boynton Beach"	0.0574858
"Grand Rapids"	0.0574005
Pasadena	0.0573593
Springfield	0.0572347
"Great Neck"	0.0569826
Bangor	0.0569722
Lakeland	0.0569656
Newton	0.0567828
"Jefferson City"	0.0566373
Westchester	0.0566068
Jamestown	0.056455
anchorage	0.0563717
Renton	0.0563037
"Culver City"	0.0562836
"Santa Ana"	0.0562543
"South Bronx"	0.0562162
Norwalk	0.056164
"Overland Park"	0.0560165
Torrance	0.0559365
Huntsville	0.0558698
"Montgomery County"	0.0558573
"Huntington Beach"	0.055589
"Van Nuys"	0.0553925
Cambridge	0.0552275
"New Canaan"	0.0549108
Fresno	0.0548868
Charlestown	0.0546653
Bedford	0.0546555
Bridgewater	0.0546496
Freeport	0.0546482
Helena	0.0546435
Tarrytown	0.0544989
Shreveport	0.0544008
Bradenton	0.0543276
"Chapel Hill"	0.0542772
"Long Island City"	0.0542591
"North Hollywood"	0.0541811
Edison	0.0541553
Needham	0.054103
Mansfield	0.0540952
Reston	0.0540302
Covington	0.0540118
"New Rochelle"	0.0539233
"Broward County"	0.0537399
Missoula	0.0536779
Westport	0.0535723
Rockville	0.0534737
TALLAHASSEE	0.0534371
"Research Triangle Park"	0.0533501
ASHEVILLE	0.0531357
Nassau	0.0530859
Raleigh	0.0530615
Essen	0.0530139
"Crown Heights"	0.0529753
Salisbury	0.0529604
"East Harlem"	0.0528847
Boise	0.0527932
"Menlo Park"	0.0527494
"Newport Beach"	0.0526997
"Hell's Kitchen"	0.052627
"Cedar Rapids"	0.0525719
Cupertino	0.0525598
"East Los Angeles"	0.0525518
Winston-Salem	0.0521712
Hoboken	0.0521686
"St. Paul"	0.0520128
Carlsbad	0.0518767
"Mill Valley"	0.0518579
Falmouth	0.0518562
Windsor	0.0518458
"Cherry Hill"	0.0518168
Westfield	0.051458
Portsmouth	0.0514156
Decatur	0.0514133
TRENTON	0.0512002
Kettering	0.0511766
"Rocky Mount"	0.0509622
"Saratoga Springs"	0.0508393
Hackensack	0.0507463
Marlborough	0.0506949
Minneapolis	0.0504262
Fairfield	0.0503926
"New York State"	0.0501612
"Suffolk County"	0.0501373
Herndon	0.0501331
"Woodland Hills"	0.0500079
riverside	0.0496852
"Montego Bay"	0.0496682
"Brooklyn Heights"	0.0496483
Kirkland	0.0496141
Darien	0.0492107
Brockton	0.0492044
midland	0.0491968
"Greenwich Village"	0.049189
Glendale	0.0491857
Evansville	0.0491646
Danbury	0.0491418
Burbank	0.049116
))
(allergen (desc 3605.65) (sims
dander	0.16768
mite	0.148653
toxin	0.142303
carcinogen	0.138279
contaminant	0.12879
pollen	0.126608
pathogen	0.121149
irritant	0.109448
bacteria	0.102898
pollutant	0.100997
"carbon monoxide"	0.0997692
spore	0.0972807
ragweed	0.0930358
ozone	0.0909329
particle	0.0903615
impurity	0.0895899
allergy	0.0877506
"nitrogen dioxide"	0.0840495
"chemical agent"	0.0830652
pesticide	0.0824952
poison	0.0819123
dioxin	0.0806955
microorganism	0.0802175
"water vapor"	0.079767
droppings	0.0791951
germ	0.0787623
soot	0.0783319
"sulfur dioxide"	0.0777945
dioxide	0.0774892
"nitrogen oxide"	0.0772571
anthrax	0.076973
"hydrogen sulfide"	0.0767667
"organic compound"	0.0762335
benzene	0.0738283
particulates	0.0737641
PCBs	0.0732649
pest	0.0731174
fume	0.0719872
microbe	0.0705324
mould	0.0701267
asbestos	0.0698642
droplet	0.0692295
arsenic	0.0688252
preservative	0.0685885
dioxins	0.0685789
Radon	0.068308
antioxidant	0.0672039
residue	0.0667097
radioactivity	0.0659323
antigen	0.0658217
vapor	0.0634804
organism	0.0621582
giardia	0.0618423
Botox	0.0611725
beryllium	0.0607096
nitrogen	0.0602036
parasite	0.0600064
smog	0.0599909
toxicity	0.0595596
nectar	0.058685
CFCs	0.05838
fiber	0.0582991
hydrocarbon	0.0578918
defoliant	0.0573943
cockroach	0.0571909
"nitric oxide"	0.0567155
coli	0.0566748
insect	0.0565318
malignancy	0.0565136
"AIDS virus"	0.0562993
odor	0.0555648
bacterium	0.0555099
"safety problem"	0.0553077
infestation	0.0550634
"carbon dioxide"	0.0550497
"nitrous oxide"	0.0549797
cryptosporidium	0.0546609
"fatty acid"	0.0542388
"contagious disease"	0.052767
enzyme	0.0527201
"venereal disease"	0.0521969
vertebrate	0.0520811
estrogen	0.0517299
stimuli	0.0512932
herbicide	0.0512782
"risk factor"	0.051164
"communicable disease"	0.0506338
acquirer	0.0500927
moisture	0.0499352
shredders	0.04979
salinity	0.0497063
fungi	0.0496858
carotene	0.0493775
"mental disorder"	0.0493269
"toxic waste"	0.0491867
nutrient	0.0491341
contamination	0.04903
phosphorus	0.0483839
hormone	0.0480436
"sexually transmitted disease"	0.0479248
"environmental condition"	0.0476982
overvaluation	0.0474857
fungus	0.0463283
"amino acid"	0.0459797
nitrate	0.0452546
encephalitis	0.0451259
plankton	0.0449602
aerosol	0.0446628
mildew	0.0445843
dopamine	0.0442876
capsaicin	0.0440429
misinformation	0.0437071
"job candidate"	0.0435335
ailment	0.0433395
"weak point"	0.0433158
"cancer cell"	0.0432831
"chemical compound"	0.0424539
"nerve gas"	0.0424533
vibration	0.0422868
eavesdropper	0.0421536
iodine	0.0420195
"folic acid"	0.0420025
"respiratory disease"	0.0419918
critters	0.0418387
sulfur	0.0417883
"hard drug"	0.0414031
plutonium	0.041393
infraction	0.0413807
susceptibility	0.0413527
"blood sugar"	0.0412819
"mustard gas"	0.0412198
"Ginkgo biloba"	0.0411528
homocysteine	0.041143
disinfectant	0.040968
sickness	0.040881
yeast	0.0408647
chloride	0.040856
inhaler	0.040796
BSE	0.0407822
stimulant	0.0407012
incompatibility	0.0404178
secretion	0.0401759
highflier	0.0401044
hepatitis	0.0400845
))
(Allergist (desc 1525.35) (sims
endocrinologist	0.164413
"plastic surgeon"	0.158372
urologist	0.131373
internist	0.12879
obstetrician	0.123597
dermatologist	0.119501
pediatrician	0.114697
oncologist	0.111582
cardiologist	0.111384
pathologist	0.107584
Gastroenterologist	0.105478
radiologist	0.103497
dietitian	0.101119
endocrinology	0.0984571
"general practitioner"	0.0868488
neurologist	0.0864292
ophthalmologist	0.0840959
nutritionist	0.0827794
toxicologist	0.0809319
Cardiology	0.08059
immunologist	0.0765281
orthopedist	0.0748599
neurosurgeon	0.0703358
"interior designer"	0.0693417
horticulturist	0.0688646
"heart surgeon"	0.0684124
"investment adviser"	0.0680485
dermatology	0.0653921
geneticist	0.064473
"aerospace engineer"	0.0634765
microbiologist	0.0630525
veterinarian	0.0613787
Hoch	0.0597713
Ratner	0.0590656
"landscape architect"	0.0589731
actuary	0.0589679
geographer	0.0587053
zoologist	0.058427
anesthesiologist	0.0582042
geophysicist	0.0578393
"medical examiner"	0.0573517
Hybl	0.0568505
"eye doctor"	0.0559897
"air force officer"	0.0555132
"security consultant"	0.0548855
"National Gambling Impact Study Commission"	0.0546901
Profiler	0.0546135
"staff sergeant"	0.0541912
Strauss-Kahn	0.0540612
landscaper	0.0540515
demographer	0.054051
"mechanical engineer"	0.0539682
"Mark Brooks"	0.0529762
"clinical psychologist"	0.0528559
oceanographer	0.0526984
adjuster	0.0526695
genealogist	0.0524347
neuroscientist	0.0511656
"department employee"	0.0510823
"school superintendent"	0.0509822
anchorman	0.0509761
ornithologist	0.0509237
"music teacher"	0.0509076
"police lieutenant"	0.0508056
"English professor"	0.050766
pharmacologist	0.0505156
"real estate agent"	0.0500069
"bird watcher"	0.0498958
epidemiologist	0.0497528
patrolman	0.0492796
"home builder"	0.0490434
Litigator	0.0489957
Clothier	0.0487528
entomologist	0.0486222
cartographer	0.0485592
optometrist	0.0485413
oncology	0.0484921
ecologist	0.0484745
businesswoman	0.0484652
Sheehan	0.0484115
"funeral director"	0.0481239
"Cuban American National Foundation"	0.048095
lass	0.047994
CPA	0.0477199
agronomist	0.0476456
seismologist	0.0475739
Koskinen	0.0475242
"civil engineer"	0.0474275
"management consultant"	0.0471606
"registered nurse"	0.046863
Joklik	0.0464172
"car dealer"	0.0463682
"police sergeant"	0.0463027
physiologist	0.046192
linguist	0.0461173
"medical officer"	0.0458925
forester	0.0458664
Realtor	0.0458339
gynecologist	0.0458003
forecaster	0.0452869
pharmacology	0.0452316
"art teacher"	0.0451881
"economic expert"	0.044867
botanist	0.0447307
"American Cancer Society"	0.0445853
"electrical engineer"	0.0445547
statistician	0.0445008
Schmid	0.0444992
Dodik	0.0444471
"Russ Ortiz"	0.0443769
psychotherapist	0.0443212
"American Heart Association"	0.0441331
"Marc Hodler"	0.0440905
"drinking fountain"	0.0439351
"financial officer"	0.0438422
"Navy Seal"	0.0432873
Heinrichs	0.0432501
"Wall Street analyst"	0.043177
"physical therapist"	0.0431064
"math teacher"	0.0429014
obstetrics	0.0428234
Schmitt	0.0426162
jeweler	0.0425417
looker	0.0424646
Kohler	0.0424374
"government officials"	0.0423983
copywriter	0.0423891
"market watcher"	0.0421434
integrator	0.0418065
Lindner	0.0417605
"altar boy"	0.0416638
pleaser	0.0416268
eighth-grader	0.0415502
"employment contract"	0.0413833
cantor	0.0413347
"administration official"	0.0412095
"currency trader"	0.0410662
meteorologist	0.0408325
Cleary	0.0406763
"senior executive"	0.0404343
electrician	0.0403651
Liang	0.0403611
"medical checkup"	0.0401446
"LA Lakers"	0.0401075
))
(allergy (desc 17924.1) (sims
asthma	0.258273
arthritis	0.209665
hypertension	0.200823
diabetes	0.200331
"high blood pressure"	0.191552
"hay fever"	0.179713
Osteoporosis	0.176286
migraine	0.173799
"rheumatoid arthritis"	0.171578
Obesity	0.166093
ulcer	0.163936
diarrhea	0.162465
"heart disease"	0.161796
bronchitis	0.156989
anemia	0.156506
"multiple sclerosis"	0.155085
epilepsy	0.154935
infection	0.154918
"heart condition"	0.152397
disorder	0.151039
pneumonia	0.14604
ailment	0.144363
flu	0.142967
"back pain"	0.14214
"cardiovascular disease"	0.141412
Parkinson's	0.138371
"Parkinson's disease"	0.13741
osteoarthritis	0.137107
cancer	0.134481
disease	0.133919
headache	0.132171
Alzheimer	0.131931
"cystic fibrosis"	0.131349
dementia	0.131348
illness	0.131077
schizophrenia	0.1303
cataract	0.130206
lupus	0.130009
syndrome	0.129544
insomnia	0.129327
autism	0.128871
glaucoma	0.127317
emphysema	0.127181
"liver disease"	0.126659
impotence	0.126233
hepatitis	0.125084
"colon cancer"	0.123838
"heart failure"	0.121995
infertility	0.121254
Depression	0.120331
malaria	0.120075
angina	0.119922
symptom	0.119431
acne	0.119105
"mental disorder"	0.118436
als	0.118107
"mental illness"	0.118106
tuberculosis	0.117799
leukemia	0.117772
ADHD	0.117763
heartburn	0.116802
nausea	0.115355
cough	0.115092
"health problem"	0.114934
stomachache	0.114743
"sore throat"	0.113738
defect	0.112801
fever	0.110903
Meningitis	0.110699
influenza	0.109112
disability	0.109096
"congestive heart failure"	0.108624
HIV	0.10834
Alcoholism	0.107561
apnea	0.107473
"food poisoning"	0.107399
"asthma attack"	0.107227
constipation	0.106984
"Lyme disease"	0.10646
narcolepsy	0.106417
malnutrition	0.106265
"lung cancer"	0.106022
"manic depression"	0.105437
"blood pressure"	0.105191
dehydration	0.102818
"respiratory disease"	0.102585
psoriasis	0.102555
incontinence	0.102051
"eye disease"	0.100805
dizziness	0.100581
inflammation	0.0998614
pain	0.0996494
cholesterol	0.0996066
Addiction	0.0995036
"skin cancer"	0.0994088
"common cold"	0.0985848
abnormality	0.0981919
fatigue	0.0975588
hemophilia	0.0972005
Tb	0.0970154
virus	0.096837
"heart attack"	0.096118
retardation	0.0949204
baldness	0.0948642
"infectious disease"	0.0942357
"memory loss"	0.0940373
"skin rash"	0.0938624
"upset stomach"	0.0935377
stress	0.0934604
deformity	0.0934593
encephalitis	0.0930323
"skin disease"	0.0929349
diarrhoea	0.0919784
cholera	0.091888
dysfunction	0.0917448
vomiting	0.0917097
"cerebral palsy"	0.0914414
anti-inflammatory	0.0905133
"blood clot"	0.0899263
HIV/AIDS	0.0895997
"sexually transmitted disease"	0.089237
blindness	0.0889433
tumor	0.0886364
deficiency	0.0880493
contamination	0.0878209
"tooth decay"	0.0878196
allergen	0.0877506
"kidney disease"	0.0877373
malady	0.0876519
"lead poisoning"	0.0861051
"side effect"	0.0855775
"brain tumor"	0.0855158
congestion	0.0854557
lymphoma	0.0847963
complication	0.0844621
impairment	0.0841061
palpitation	0.084011
atherosclerosis	0.0832265
trauma	0.0828103
anxiety	0.0822561
"chest pain"	0.0821042
fibrillation	0.0820526
ache	0.0812866
"hepatitis B"	0.081022
"kidney stone"	0.0808174
"genetic disease"	0.0807404
cirrhosis	0.0804773
indigestion	0.0792417
relapse	0.0789326
polio	0.0784896
cold	0.0783904
melanoma	0.0783569
weight-loss	0.0779159
epidemic	0.0778997
cramp	0.077865
swelling	0.077807
poisoning	0.0774369
stroke	0.0761434
"neurological disease"	0.0761203
injury	0.075814
Exhaustion	0.0747445
Dengue	0.0736641
"drug addiction"	0.0736562
"bipolar disorder"	0.0734066
paralysis	0.0733853
Psychosis	0.0731313
irritation	0.0730741
nearsightedness	0.0729358
"hot flash"	0.0727486
seizure	0.0724708
"air pollution"	0.072094
Dysentery	0.0720447
leprosy	0.0720028
reflux	0.0713151
frostbite	0.070814
syphilis	0.0706305
abscess	0.070365
"personality disorder"	0.0703376
antihistamine	0.0703206
hangover	0.0699798
reaction	0.0699711
fracture	0.0698078
"anxiety disorder"	0.0695275
exposure	0.0689134
"panic attack"	0.0687877
rash	0.0685537
"alcohol abuse"	0.0681635
aids	0.0679253
dyslexia	0.066824
nutrition	0.0666709
gallstone	0.0663438
Rabies	0.0662667
"muscular dystrophy"	0.0660803
"substance abuse"	0.066023
sickness	0.0658696
pollution	0.0658367
smoking	0.0656989
myopia	0.0655148
polyp	0.0653646
"dengue fever"	0.0650693
))
(alleviation (desc 17530.3) (sims
eradication	0.232017
prevention	0.153692
"population control"	0.150644
"family planning"	0.14965
afforestation	0.148171
conservation	0.14805
empowerment	0.146906
industrialization	0.140112
modernization	0.138137
Liberalization	0.131415
"road construction"	0.130522
development	0.129126
democratization	0.128283
reconstruction	0.127809
governance	0.126943
stabilization	0.12645
education	0.124519
rehabilitation	0.123321
"land reform"	0.121726
reform	0.121479
integration	0.121061
reduction	0.120243
elimination	0.117573
"social welfare"	0.115989
resettlement	0.115372
"flood control"	0.114322
reforestation	0.113881
protection	0.113092
utilization	0.112133
Promotion	0.112061
decentralization	0.110931
agriculture	0.10888
sanitation	0.108506
"conflict resolution"	0.108348
capacity-building	0.108278
employment	0.108046
Privatization	0.106522
"health care"	0.105744
diversification	0.105717
urbanization	0.105503
disarmament	0.104795
improvement	0.104478
infrastructure	0.104075
facilitation	0.102202
advancement	0.102029
Non-Proliferation	0.100646
"social service"	0.100051
relief	0.0990088
readjustment	0.09759
consolidation	0.0971779
revitalization	0.0959117
"arms control"	0.0954376
preservation	0.0944144
restoration	0.0935808
Implementation	0.0933816
nonproliferation	0.09316
redistribution	0.0930493
poverty	0.092181
"vocational training"	0.092057
health	0.0919403
"development strategy"	0.0918337
construction	0.0918076
stability	0.0915673
mitigation	0.0908638
restructuring	0.0904222
"quality of life"	0.0903691
creation	0.0902118
management	0.0899607
tourism	0.089552
enforcement	0.0889022
electrification	0.088603
strengthening	0.0884674
"health service"	0.0883664
"soil conservation"	0.0879648
transparency	0.0876425
cooperation	0.0875977
"human right"	0.0873619
prosperity	0.0871219
HIV/AIDS	0.0865299
"urban planning"	0.0864655
irrigation	0.0861881
"water supply"	0.0859649
nutrition	0.0856299
environment	0.0853473
sustainability	0.0848815
recovery	0.0847756
renovation	0.0847246
maintenance	0.0846578
enhancement	0.0839464
security	0.083827
"vocational education"	0.0838091
expansion	0.0833541
"deficit reduction"	0.0828796
transportation	0.0824398
welfare	0.0824261
upgrading	0.082235
demilitarization	0.081812
biodiversity	0.0816701
productivity	0.0812819
equality	0.0808526
Housing	0.0807384
preparedness	0.0807249
"public security"	0.0805272
opening-up	0.0803178
literacy	0.0802496
"information technology"	0.0802341
rejuvenation	0.0800337
conservancy	0.0798116
reconciliation	0.0798103
growth	0.0796442
"public works"	0.0795842
peace-keeping	0.079538
rebuilding	0.0793381
exploitation	0.0792544
beautification	0.0790632
innovation	0.0789418
peace	0.0787838
commercialization	0.0787808
dissemination	0.0787553
demobilization	0.0784914
"human rights"	0.0784804
immunization	0.0781006
deregulation	0.0773423
financing	0.0770524
exploration	0.0767869
mobilization	0.0766032
livelihood	0.0762554
sector	0.0759298
telecommunication	0.0758547
transformation	0.0752607
reemployment	0.0749343
repatriation	0.0744671
awareness	0.0737882
reunification	0.0737497
research	0.073723
rectification	0.0735719
enlargement	0.0735618
"rule of law"	0.0735078
survival	0.0733959
fumigation	0.0732316
"quality control"	0.0732239
"higher education"	0.0730605
peace-building	0.0729053
formulation	0.0727634
"standard of living"	0.0724216
progress	0.0720416
investment	0.0718877
efficiency	0.0715897
"education program"	0.0715471
self-reliance	0.0714369
taxation	0.0713181
globalization	0.0712639
forestry	0.0711016
coordination	0.070898
"economic policy"	0.0708666
competitiveness	0.0707405
standardization	0.0707341
"social security"	0.0706518
distribution	0.0703234
assistance	0.0703095
harmonization	0.0702735
training	0.0701669
"foreign policy"	0.0699916
"mass transit"	0.0697213
outreach	0.0696391
"market reform"	0.0696315
cleanup	0.0696282
unification	0.0694555
interdiction	0.0690308
"adult education"	0.0689395
reclamation	0.0688865
participation	0.0688542
"cost cutting"	0.0686425
easing	0.0678354
rationalization	0.0677356
"free trade"	0.0675648
initiative	0.0675631
science	0.0675602
"social assistance"	0.0674285
accountability	0.0674142
"law enforcement"	0.0674098
self-sufficiency	0.067067
procurement	0.0670332
sensitization	0.0668979
recruitment	0.0668048
democracy	0.066638
ecology	0.0665915
unity	0.0665881
mining	0.0664865
desertification	0.0664845
"animal husbandry"	0.065865
adjustment	0.0656261
detection	0.0655782
planning	0.0652462
safety	0.0651926
reorganization	0.065133
social	0.0649552
retention	0.064803
"product development"	0.0645541
"tax cut"	0.064549
))
(Alley (desc 25620.7) (sims
alleyway	0.140271
hallway	0.117163
"parking lot"	0.104347
courtyard	0.099548
street	0.0966347
tunnel	0.087631
driveway	0.0875349
corridor	0.0809541
garage	0.0802161
sidewalk	0.0777028
lane	0.077077
stairwell	0.0761874
basement	0.0758647
Stairway	0.0744126
walkway	0.0739787
square	0.0717836
"vacant lot"	0.0708578
cafe	0.0707789
passageway	0.0696058
garden	0.0684858
"main street"	0.0678311
aisle	0.0661374
park	0.0661205
bedroom	0.0659951
plaza	0.0644237
neighborhood	0.0639591
storefront	0.0639123
thoroughfare	0.0637186
doorway	0.063259
hall	0.0630871
footpath	0.0620692
cubicle	0.0620655
closet	0.0618814
"row house"	0.061848
apartment	0.061282
corner	0.0610078
boulevard	0.0608424
yard	0.0606686
Warehouse	0.0605573
alcove	0.0602633
"bomb shelter"	0.0597533
bleachers	0.0594699
Grove	0.0591613
cellar	0.0587173
wall	0.0585576
kitchen	0.0584385
bathroom	0.0583652
mall	0.0579406
intersection	0.0574548
cul-de-sac	0.0570721
avenue	0.056569
staircase	0.0563844
"back room"	0.0559471
tent	0.0557312
restaurant	0.0551463
patio	0.0551332
"conference room"	0.055082
subway	0.0550475
hillside	0.0543771
"living room"	0.0540517
fence	0.0538283
barn	0.0537211
"office building"	0.0535952
"apartment building"	0.0531752
crosswalk	0.0530881
cemetery	0.0528933
path	0.0527207
culvert	0.0526642
clubhouse	0.0526348
"picnic area"	0.0524959
"dining room"	0.0521399
wood	0.0517495
hut	0.0515493
vestibule	0.051455
"dressing room"	0.0514242
hill	0.0512186
gymnasium	0.051011
porch	0.0507359
shelter	0.0507042
motel	0.050656
"swimming pool"	0.0506432
backyard	0.0506183
pavilion	0.0505837
cottage	0.050473
deck	0.0504716
Canal	0.0503728
downtown	0.0500726
trench	0.0500569
ditch	0.0495281
ravine	0.0494926
"subway station"	0.0493561
cabin	0.0490868
cave	0.0489849
fairway	0.048639
"shopping center"	0.0484503
"Central Park"	0.0484267
canyon	0.0483811
bungalow	0.0482042
playground	0.0481722
Tower	0.047915
gallery	0.0477125
valley	0.0476722
terrace	0.0475973
gully	0.0475001
"back yard"	0.0474137
gym	0.0473775
shack	0.0470348
pit	0.0467947
"upper deck"	0.046731
stair	0.0466114
mansion	0.046599
bunker	0.046574
subdivision	0.0465572
"bus station"	0.0465538
pathway	0.0465492
pond	0.0464088
pool	0.046277
pub	0.0462455
tenement	0.046206
desert	0.0461744
highway	0.0461093
cornfield	0.0460253
theater	0.0459673
auditorium	0.0457962
promenade	0.045788
gate	0.0456599
tavern	0.0454824
forest	0.0453873
runway	0.0453233
lounge	0.0452515
studio	0.0452455
pantry	0.0451294
underpass	0.0450112
suburb	0.0449033
cafeteria	0.0446692
brownstone	0.0446691
"front yard"	0.0445272
trailer	0.0443046
ballroom	0.0442445
byway	0.044089
"Times Square"	0.0440356
"grocery store"	0.0440354
concourse	0.0439459
shanty	0.0439169
"shopping mall"	0.0438287
duplex	0.0437941
entrance	0.043752
Villa	0.0436685
barrack	0.0431849
palace	0.0431826
booth	0.0431575
mosque	0.0430846
"locker room"	0.0429633
terminal	0.0428034
parlor	0.0427573
compound	0.0426999
roadway	0.042695
ramp	0.0426023
stalls	0.0424601
jungle	0.0421677
dwelling	0.042078
skyscraper	0.0420653
landscape	0.0420474
courtroom	0.0420081
classroom	0.0418957
elevator	0.0418085
"train station"	0.0417482
farmhouse	0.0417401
outhouse	0.0416474
"coffee shop"	0.0416172
lawn	0.0415407
beach	0.0414175
"mountain pass"	0.0414138
"street corner"	0.0412358
saloon	0.0411461
sanctuary	0.0410982
"picket fence"	0.0410358
lake	0.040783
freeway	0.0406752
chapel	0.0406704
"storage area"	0.0406603
sewer	0.0405768
"town house"	0.0405705
slope	0.0404574
bathtub	0.0404258
"mobile home"	0.0402851
"apartment house"	0.0401996
stoop	0.0401184
"trash bin"	0.0400195
library	0.0400156
))
(alleyway (desc 2331.09) (sims
footpath	0.141051
Alley	0.140271
passageway	0.103225
"vacant lot"	0.0930057
"mountain pass"	0.0783972
Stairway	0.0774554
walkway	0.0763224
"office block"	0.0759518
storefront	0.0684755
culvert	0.0674419
driveway	0.0667168
outcrop	0.0660752
stalls	0.0640644
courtyard	0.0636625
"Lexington Avenue"	0.0625445
"First Avenue"	0.0615866
"flight of stairs"	0.0615768
"Lili Taylor"	0.0612522
gully	0.0608977
alcove	0.0607524
"public square"	0.0604716
ravine	0.0603366
crevice	0.06007
boulevard	0.0599449
"Eighth Avenue"	0.0575911
"row house"	0.0573238
"back street"	0.0571291
"Central Park West"	0.055385
cistern	0.0552528
"Second Avenue"	0.0551431
"storage room"	0.0546761
cul-de-sac	0.0542692
doorway	0.0541986
Ellipse	0.0536708
shanty	0.0530486
ledge	0.0519394
byway	0.0514941
roadway	0.0509785
schoolhouse	0.0503409
brownstone	0.0503097
Spillway	0.0501288
bungalow	0.0495786
Bosporus	0.0491209
chute	0.0472049
blacktop	0.0470993
"landing strip"	0.046051
"liquor store"	0.0458708
"access road"	0.0456586
berm	0.0456111
"bomb shelter"	0.0455382
underpass	0.0450648
sewer	0.0448309
"sewer line"	0.0447228
"house of worship"	0.0446216
thoroughfare	0.0444955
"dance hall"	0.0444581
terrace	0.0443618
stairwell	0.0437726
"tea house"	0.0436601
tenement	0.0436411
bends	0.0434997
"bus stop"	0.0428225
"Seventh Avenue"	0.0424034
teahouse	0.0421891
catwalk	0.0421386
"electric current"	0.0421349
moat	0.0420548
"Abu Dis"	0.0419493
bed-and-breakfasts	0.0418824
mezzanine	0.0416435
hovel	0.0415409
crag	0.0413861
Isthmus	0.0412689
boardwalk	0.041192
foyer	0.0408127
"place of worship"	0.0407776
tavern	0.0402377
"water tower"	0.040006
))
(Alliance (desc 131632) (sims
Coalition	0.217839
NATO	0.182751
partnership	0.17062
bloc	0.144903
merger	0.135456
government	0.128443
party	0.12698
"North Atlantic Treaty Organization"	0.125472
pact	0.123191
organization	0.119401
union	0.117819
agreement	0.116567
force	0.115647
deal	0.113325
cooperation	0.113108
group	0.111991
"joint venture"	0.110819
opposition	0.109906
ally	0.10866
Council	0.104705
faction	0.103889
relationship	0.101648
association	0.10144
army	0.0999115
EU	0.099288
military	0.0992163
grouping	0.0985838
negotiation	0.0985694
"political party"	0.0983437
Taliban	0.098244
militia	0.0972734
movement	0.0964876
"Northern Alliance"	0.0962131
"Democratic Party"	0.0952965
administration	0.0947641
federation	0.0934148
accord	0.0924557
"European Union"	0.0923474
arrangement	0.090946
"Labor Party"	0.090176
"Communist Party"	0.0900079
consortium	0.0897406
Treaty	0.0891007
"Social Democrats"	0.0890667
relation	0.0886907
initiative	0.0883062
ASEAN	0.0879728
compromise	0.0876218
peace	0.0874413
"United Nations"	0.0872253
U.N.	0.0870857
rebel	0.0869149
integration	0.0868343
strategy	0.0860742
nation	0.0860464
settlement	0.085979
leadership	0.0857825
"African National Congress"	0.085684
cabinet	0.0855835
"armed forces"	0.0853955
venture	0.0851035
talk	0.0850046
plan	0.0842791
"People's Party"	0.084276
Hezbollah	0.0842601
"National Party"	0.0841926
dialogue	0.0841396
company	0.0838785
"Liberal Democratic Party"	0.0837986
regime	0.0836643
country	0.0830732
Israel	0.0826233
program	0.0825728
community	0.0825566
committee	0.0823032
unity	0.0816752
KLA	0.0811327
effort	0.081042
policy	0.0808953
commission	0.080751
system	0.0797815
Likud	0.0794215
institution	0.0793973
operation	0.0793474
"Bharatiya Janata Party"	0.0791375
agency	0.0790592
UNITA	0.0790506
"Kosovo Liberation Army"	0.0787604
"Social Democratic Party"	0.0786623
collaboration	0.0783961
"Congress Party"	0.0782873
reform	0.0782323
leader	0.0781966
intervention	0.0778386
tie-up	0.0777678
WTO	0.07737
development	0.077335
democracy	0.0770955
IMF	0.076884
campaign	0.0767305
process	0.0766709
business	0.0766573
state	0.0764506
expansion	0.0762539
consensus	0.0761822
cease-fire	0.075815
war	0.0757859
troop	0.0756307
action	0.0754995
society	0.0754945
friendship	0.0753267
Russia	0.0748525
tie	0.0748212
ministry	0.0747726
Congress	0.0747123
acquisition	0.074615
Iran	0.0746024
"Association of Southeast Asian Nations"	0.0744817
"Socialist Party"	0.0744656
truce	0.0743398
"United States"	0.0743016
authority	0.0741971
participation	0.0739998
ANC	0.0739072
"trade union"	0.0733433
consolidation	0.0732101
link	0.0731888
OSCE	0.0731571
"United Front"	0.0729491
project	0.072882
guerrilla	0.0728731
"National Front"	0.0728069
partner	0.0727628
meeting	0.0725598
support	0.0725139
"Arab League"	0.0724983
legislation	0.0724015
agenda	0.0723461
OAU	0.072297
reconciliation	0.0722087
proposal	0.0720754
network	0.0719284
discussion	0.0719129
activity	0.0719095
"task force"	0.0718722
exchange	0.0718118
"Republican Party"	0.071728
ECOMOG	0.0716763
dialog	0.071492
conflict	0.071441
Iraq	0.0714019
structure	0.0713521
"military force"	0.0713297
establishment	0.0712541
Confederation	0.0712147
takeover	0.071137
U.S.	0.0710359
GCC	0.0708262
"merger talk"	0.0708185
China	0.0707062
President	0.0705663
deployment	0.0703739
BJP	0.0703635
junta	0.0702977
SADC	0.0698488
parliament	0.0694656
Syria	0.0694405
Yugoslavia	0.0693296
"security force"	0.0692558
"Contact Group"	0.0692531
forum	0.0692162
summit	0.0690273
"military action"	0.068917
APEC	0.0688942
Milosevic	0.0686626
Mercosur	0.0686084
trade	0.0685692
measure	0.0685467
struggle	0.0685174
economy	0.0684702
Mission	0.0684606
"international organization"	0.0682117
consultation	0.068033
Pakistan	0.0678945
industry	0.0677269
power	0.0676741
"free trade"	0.0675557
foundation	0.0674481
scheme	0.0673242
solidarity	0.0672834
majority	0.0672831
Communist	0.0671652
"Security Council"	0.0671323
firm	0.0670602
Hamas	0.0670495
PRI	0.0668568
labor	0.0667845
contract	0.0666587
"Christian Democrats"	0.0665811
corporation	0.0665114
))
(Allianz (desc 2949.49) (sims
AXA	0.222345
Aegon	0.199721
"American International Group"	0.194106
"Aetna Inc."	0.151316
BASF	0.14923
Thyssen	0.146888
Generali	0.145464
Daimler-Benz	0.12767
Hoechst	0.124415
"Siemens AG"	0.121767
Aetna	0.120513
AMP	0.119043
Siemens	0.118455
ING	0.112195
Allstate	0.092697
Roche	0.0918695
UBS	0.0910891
"John Hancock"	0.0897065
VEBA	0.0890727
"State Farm"	0.0865469
DaimlerChrysler	0.0863739
TELLABS	0.0857723
Softbank	0.0857473
"Travelers Group"	0.0850691
"Deutsche Bank"	0.0849037
"Deutsche Telekom"	0.0842057
"Mannesmann AG"	0.0841254
MetLife	0.0839672
Dupont	0.0832871
HSBC	0.0829647
Bertelsmann	0.0826002
"BellSouth Corp."	0.0817341
"News Corp."	0.0816525
"Daimler-Benz AG"	0.0816191
ABB	0.0815522
"HSBC Holdings"	0.0800208
Paribas	0.078967
NTL	0.0787785
"Klaus Naumann"	0.0771374
AIG	0.0770942
"France Telecom"	0.0767153
Medtronic	0.0766765
CMGI	0.0765579
Conseco	0.0764687
McKesson	0.0758964
Publicis	0.0758923
Gilead	0.0747864
Echostar	0.0745804
RWE	0.0744751
"Pacific Century"	0.0744284
Nestle	0.0740148
NTT	0.0740142
"Dow Chemical"	0.0736939
"BP Amoco"	0.07344
Lufthansa	0.0728646
Unilever	0.0725515
"Blue Cross"	0.0724661
Volkswagen	0.0724318
Informix	0.0723525
"News Corp"	0.0718988
Travelers	0.0716854
Mannesmann	0.0714685
"Advanced Micro"	0.0714518
Elf-Aquitaine	0.071159
Scientific-Atlanta	0.0710192
Cigna	0.070716
"Chase Manhattan"	0.0704173
NORTHROP	0.0701531
"Volkswagen AG"	0.0698705
"MindSpring Enterprises"	0.069281
Healtheon/WebMD	0.0692124
"Bertelsmann AG"	0.0691872
Georgia-Pacific	0.0690791
"Martin Schmitt"	0.0690337
Starwood	0.0689605
Novartis	0.0688148
"Vodafone AirTouch"	0.0687786
AMR	0.0684314
Nabisco	0.0682183
SFX	0.0677525
"Thomson CSF"	0.0677118
"Johnson &AMP; Johnson"	0.0673961
Autodesk	0.0669486
Totalfina	0.0666964
TYCO	0.0662229
"International Paper"	0.0659112
"Credit Suisse"	0.0658037
Chiron	0.0654239
Hitachi	0.065405
SunTrust	0.065353
IAI	0.0652096
Petrofina	0.0651377
Rhone-Poulenc	0.0649737
"Societe Generale"	0.0649616
Vivendi	0.0647914
REPSOL	0.064714
Hancock	0.064449
Nortel	0.064439
"Exxon Corp."	0.0643239
VENATOR	0.0642429
Viag	0.0642301
KPN	0.0641288
Philips	0.0640811
REIT	0.0637838
Litton	0.0637636
BP	0.0637177
Weyerhaeuser	0.0635844
BMW	0.0635504
Cabletron	0.0635327
"Y&AMP;R"	0.0634924
Alltel	0.0634297
Clorox	0.0634197
"Adobe Systems"	0.063296
Unisys	0.0632389
Railtrack	0.0632327
"ABN AMRO"	0.0629363
"Enron Corp."	0.062902
Telefonica	0.0628211
Cargill	0.0627831
Alcatel	0.0625266
Terra	0.062474
Lukoil	0.0623772
"Daimlerchrysler AG"	0.0622254
"Vodafone Airtouch PLC"	0.0621076
Schlumberger	0.0620538
"Heike Drechsler"	0.0620082
Nikko	0.0617074
"Exxon Mobil"	0.0614868
ExciteAtHome	0.0613496
"National Grid"	0.0611594
"Air Canada"	0.0610296
Enron	0.0609503
"Du Pont"	0.0607496
"Hilde Gerg"	0.0607332
"Viacom Inc."	0.0605893
YankeeNets	0.0604791
"R.J Reynolds"	0.0604777
"Sprint PCS"	0.0602799
LVMH	0.0601555
NiSource	0.059979
"SBC Communications Inc."	0.0599048
Vodafone	0.0598616
"Thai Airways International"	0.0596857
Associates	0.059624
VW	0.0595993
"P&AMP;G"	0.0594805
XYLAN	0.0594595
Tenneco	0.059397
"Computer Associates"	0.0591275
"WorldCom Inc."	0.0590626
Bestfoods	0.0590325
Checkfree	0.0590202
Comcast	0.0589107
"Gunda Niemann-Stirnemann"	0.058854
"export credit"	0.0585759
"Hearst Corporation"	0.0584683
Dasa	0.0584534
UAL	0.0584167
CNET	0.0582841
Akamai	0.0581959
"Phelps Dodge"	0.0580621
AmeriTrade	0.058017
SmithKline	0.0580033
"J&AMP;J"	0.0579072
PLDT	0.0578858
"Motorola Inc."	0.0578509
"British Telecom"	0.0576599
MindSpring	0.0576564
Geico	0.0574657
"Southern Co."	0.0574336
"Texas Instruments"	0.0574145
Daimler	0.05727
"Dresdner Bank"	0.0571557
"Thermo Electron"	0.0570936
GANNETT	0.0570763
Federated	0.0569992
PETROBRAS	0.056988
"Renault SA"	0.0569663
ENTERGY	0.056899
Bayer	0.0568813
"Rainer Schuttler"	0.0565439
Petronas	0.056464
"MCI WorldCom"	0.0564558
Safeway	0.0563007
Ltd	0.0562821
"UBS AG"	0.0562484
"Global Crossing"	0.0562353
Exxon	0.0561208
Cablevision	0.0560695
"Tribune Co."	0.055834
EarthLink	0.0557394
Astra	0.0557078
"Berkshire Hathaway"	0.0556883
"Wal-Mart Stores"	0.0556585
Healtheon	0.0556174
MCI	0.0554925
Schering	0.0553251
"Washington Mutual"	0.0549266
Corning	0.0549052
"Bell Atlantic Corp."	0.054835
))
("Allied Democratic Forces" (desc 3764.61) (sims
"Lord's Resistance Army"	0.372611
"Resistance Army"	0.221531
LRA	0.173775
"Sudan People's Liberation Army"	0.163035
"Tupac Amaru Revolutionary Movement"	0.159664
WNBF	0.151767
ADF	0.145661
"Zapatista National Liberation Army"	0.143491
"Revolutionary United Front"	0.141569
"Rwandan Patriotic Front"	0.13597
"New People's Army"	0.13042
"Kurdish Workers"	0.127553
"Liberation Tigers of Tamil Eelam"	0.126533
"Moro Islamic Liberation Front"	0.125992
"National Liberation Army"	0.124702
"Congolese Rally"	0.119692
"Liberation Tigers"	0.115587
"Moro National Liberation Front"	0.112678
"Abu Sayyaf"	0.110572
"National Union for Total Independence"	0.0978236
"Revolutionary Armed Forces"	0.0950528
"Iraqi National Congress"	0.0935026
Banyamulenge	0.0874944
RUF	0.0869569
"Kurdistan Workers Party"	0.0858364
"Tamil Eelam"	0.0848631
"National Democratic Front"	0.0801059
"Kosovo Liberation Army"	0.0799852
"Albanian Kosovo Liberation Army"	0.0796129
Zapatista	0.0790167
"Polisario Front"	0.0789761
mujahedeen	0.0782434
"National Democratic Alliance"	0.0782053
"Armed Islamic Group"	0.077816
Kamajors	0.077372
"Uganda People's Defense Forces"	0.0751931
"Islamic Jihad"	0.0749056
"Idi Amin"	0.0748122
LTTE	0.0739237
Kitgum	0.07314
Kanungu	0.071119
Ugandan	0.0702767
MRTA	0.0700921
MKO	0.0700512
SPLA	0.069621
"Muslim Brotherhood"	0.067022
RCD	0.0660077
KNU	0.0656626
Tutsi	0.0651452
"water hyacinth"	0.0645512
"Democratic Republic of Congo"	0.0644071
"Real IRA"	0.0642947
"National Union"	0.0626668
"Liberation Army"	0.0626024
PKK	0.0623472
Goma	0.0619238
NPA	0.0618929
"Cuban American National Foundation"	0.0618244
"Judicial Watch"	0.0613861
Interahamwe	0.0602423
FARC	0.0600487
Zairian	0.0599543
Hutu	0.0593431
KLA	0.0591396
Kasese	0.0588685
"Northern Fleet"	0.058367
"Indian High Commission"	0.0583512
RRA	0.0582686
Tutsis	0.0576907
Uvira	0.0576084
insurgent	0.0567672
separatist	0.0566048
"popular front"	0.055893
"Kurdish Workers Party"	0.0558079
"mountain gorilla"	0.0554917
"Wine Institute"	0.0550291
NDF	0.054665
ELN	0.0544939
UNITA	0.054486
"Khmer Rouge"	0.0539274
MNLF	0.0538728
"Republican Leadership Council"	0.0538564
"United Nations High Commission for Refugees"	0.0535225
basij	0.0528004
"Makerere University"	0.0524556
"British Empire"	0.0520313
"D.R Congo"	0.0517334
"Yomiuri Shimbun"	0.0517108
MILF	0.0515161
KAMPALA	0.0513901
FALN	0.0513242
Renamo	0.0512618
secessionist	0.0511772
"Total Independence"	0.0511136
Bundibugyo	0.0508176
Hutus	0.0507085
"Islamic Salvation Front"	0.050596
"Securities Industry Association"	0.0501983
"New Vision"	0.0498861
"Lake Victoria"	0.049715
"U.N. Observer Mission"	0.0496228
Chinese-Indonesians	0.0496101
UPDF	0.0495506
Kisangani	0.0495258
Kashmiri	0.048854
Kurdish	0.0488159
Amal	0.0487023
"Nihon Keizai Shimbun"	0.0482107
"Violence Policy Center"	0.0481292
Rwandan	0.0481267
"Human Rights Campaign"	0.047596
Kurd	0.0474466
"National Abortion and Reproductive Rights Action League"	0.0473195
"Northern Alliance"	0.047303
Chechen	0.0472427
bandit	0.0470671
Congolese	0.0467742
MSF	0.0466264
"Electronic Privacy Information Center"	0.0464207
clansmen	0.0464069
"Islamic Revolution Guards Corps"	0.0463397
rinderpest	0.0461904
ETA	0.046128
"Air Transport Association"	0.0460792
"Operation Lifeline Sudan"	0.0460724
insurgency	0.045697
"China Democracy Party"	0.0454893
"Bank of Uganda"	0.0454747
"Indonesian Military"	0.0453635
Maoist	0.0453512
"National Council"	0.0450471
"Aum Shinrikyo"	0.0450035
contras	0.0449066
banditry	0.0447512
"United Republic of Tanzania"	0.0446817
belligerents	0.0446531
Gulu	0.0445337
displaced	0.0444561
"American Association of Health Plans"	0.0443539
cholera	0.0442343
"Southeastern Legal Foundation"	0.0442305
infiltrator	0.0442029
"Nhan Dan"	0.0440811
"U.N. Mission"	0.0432266
Presense	0.0428179
"Southern Command"	0.0426447
"Asahi Shimbun"	0.0426324
"Promise Keepers"	0.0426069
"Irish Republican Army"	0.0425033
"Human Rights Watch"	0.0424285
Greenpeace	0.04215
"National Resistance Movement"	0.0420909
"displaced person"	0.0417497
Arizmendi	0.0417385
"Recording Industry Association of America"	0.0416844
guerilla	0.041555
Aidid	0.041525
"United National Independence Party"	0.0414498
Forty-four	0.0414255
"Infantry Division"	0.0413558
Thirty-three	0.0413426
"Families USA"	0.041341
"Ethnic Albanian"	0.0412851
Xanana	0.0411971
"Audubon Society"	0.0411414
"Democratic Leadership Council"	0.0410975
tribesmen	0.0410113
"International Civil Aviation Organization"	0.0409331
"Russian Navy"	0.0408603
Museveni	0.0407998
"Kosovo Albanian"	0.0406609
"South Lebanon Army"	0.0402604
"Bharatiya Janata Party"	0.0400677
"Koha Ditore"	0.0400216
))
("Allied Pilots Association" (desc 1821.69) (sims
"Association of Flight Attendants"	0.272668
"Air Line Pilots Association"	0.248354
APA	0.166045
"Benevolent Association"	0.161436
"Australian Olympic Committee"	0.156412
"Air Transport Association"	0.148894
"International Association of Machinists"	0.141139
"Service Employees International Union"	0.13726
"District Council"	0.135212
"American Association of Health Plans"	0.122259
"National Education Association"	0.121178
"International Brotherhood"	0.120955
"Log Cabin Republicans"	0.120227
"Chinese Olympic Committee"	0.118735
"Communications Workers of America"	0.118425
"National Council of La Raza"	0.117967
"Board of Elections"	0.116884
"union representative"	0.116115
"machinists union"	0.114744
"Local @@"	0.1141
"Motion Picture Association of America"	0.113891
"National Audubon Society"	0.113005
"United Steelworkers"	0.111605
"Continental Airlines"	0.110092
"U.S. Soccer Federation"	0.109921
"National Association of Broadcasters"	0.109169
Eximbank	0.107322
"Main Events"	0.107167
CPAFFC	0.106399
CWA	0.104999
"Delta Airlines"	0.103641
CFA	0.103147
Laban	0.10241
"National Association of Manufacturers"	0.102261
"United Auto Workers"	0.102219
"ABC Sports"	0.100145
"Republican House"	0.0997452
RIAA	0.0992218
"Sydney Organizing Committee"	0.0984228
AFA	0.0970745
"U.S. Chamber of Commerce"	0.0962214
Aeromexico	0.096054
"Screen Actors Guild"	0.0953445
ZCTU	0.0939027
"Recording Industry Association of America"	0.0933274
"AMR Corp."	0.0928721
"National Association"	0.0923459
"Mormon Church"	0.0922325
ICBC	0.092103
ACFTU	0.0911362
"International Amateur Athletic Federation"	0.091121
"Board of Supervisors"	0.0909954
"Chevron Corp."	0.0908267
UMNO	0.0906447
"British Airways"	0.0903555
"Hearst Corporation"	0.0901288
"Sierra Club"	0.0900129
CCB	0.0899141
UCI	0.0893594
"Sam Rainsy Party"	0.0890111
"EU Commission"	0.0889325
"Eliot Spitzer"	0.0884261
MPAA	0.0882702
"World Jewish Congress"	0.0881881
"Olympic Council of Asia"	0.0875942
"CBS Sports"	0.0873989
"U.S. Immigration and Naturalization Service"	0.0872142
"European Council"	0.086975
"American Federation"	0.0863733
"Securities Industry Association"	0.0860658
"Congolese Rally"	0.0852121
DPR	0.0850662
"Cambodian People's Party"	0.0850535
AFL-CIO	0.0844097
"United Malays National Organization"	0.0843419
"American Petroleum Institute"	0.0842985
guild	0.0840815
BSA	0.0838964
"Federal Aviation Administration"	0.0833562
SDS	0.0832001
DLC	0.0826906
ARATS	0.0824504
Tauzin	0.0822774
"Human Rights Commission"	0.0817988
"Wine Institute"	0.0814591
"National Trust"	0.0813909
"Local @@@"	0.0812288
"Delta Air Lines"	0.0811728
"International Amateur Athletics Federation"	0.0810196
"Business Council"	0.0810021
"Serbian Orthodox Church"	0.0809085
Bundestag	0.080717
"Con Edison"	0.080673
"Andean Group"	0.0804673
"Russian Foreign Ministry"	0.0796687
NARAL	0.0796071
mujahedeen	0.0793776
"New Korea Party"	0.0792073
"Handgun Control Inc."	0.0789365
"Meretz Party"	0.0788943
"U.S. Olympic Committee"	0.0788329
"Royal Ulster Constabulary"	0.0787913
"Janata Dal"	0.078622
"International Badminton Federation"	0.07861
"National Rifle Association"	0.0785444
continental	0.0785395
"American eagle"	0.0784785
"Rotary International"	0.0784182
"PLO Executive Committee"	0.0780813
"Iranian Foreign Ministry"	0.0780565
"Pan Africanist Congress"	0.0776223
"United Airlines"	0.0775879
"senior class"	0.077339
Amtrak	0.0771509
UAW	0.0770795
UFW	0.0770382
PETROBRAS	0.0769906
"National Gambling Impact Study Commission"	0.076901
"Columbia Pictures"	0.0768774
"American Legion"	0.0765913
Lakas-NUCD	0.076493
"Health and Human Services Department"	0.0764185
IAAF	0.0762809
"Socialist Party"	0.0760656
"Time Warner Cable"	0.0760613
TrustE	0.0759418
PTA	0.0758714
"African National Congress"	0.0757272
"Vo Van Kiet"	0.0754456
ITF	0.0753912
MRTA	0.0750464
"Joint Liaison Group"	0.0749692
IFP	0.0749355
"English Football Association"	0.0746442
AmCham	0.0745194
CPP	0.0744914
Teamsters	0.0743926
"Justice Ministry"	0.0743087
"China Society"	0.0740893
"Hearst Magazines"	0.0740772
"Islamic Movement"	0.0736731
"Bill Lockyer"	0.0736708
SPC	0.0736269
UNP	0.0736215
CEC	0.0735548
"Russian Space Agency"	0.0735255
HKMA	0.0735192
"Trans World Airlines"	0.0734905
"Pacific Lumber"	0.0734068
"US Congress"	0.0731571
Politburo	0.0724748
"Operation Rescue"	0.072462
"Football Association"	0.0724306
"Richard Blumenthal"	0.0723057
"National Republican Congressional Committee"	0.0720142
"Hong Kong Federation"	0.0718279
CMA	0.0717371
"Palestinian Council"	0.0716546
"Canadian Alliance"	0.07163
"Democratic Congressional Campaign Committee"	0.0712948
"Congress Party"	0.0712589
"Democratic Senatorial Campaign Committee"	0.0712208
"International Society"	0.0712098
"Players Association"	0.071193
"Inter-Parliamentary Union"	0.0709198
"Association for Relations Across"	0.0709141
Aeroflot	0.070875
"Southeastern Legal Foundation"	0.0708382
"Philadelphia Orchestra"	0.0707321
"National Action"	0.0706916
"International Brotherhood of Electrical Workers"	0.0705711
"New York Civil Liberties Union"	0.0704412
"Texas Department of Public Safety"	0.070427
"American Bankers Association"	0.0703882
"Serbian Radical Party"	0.0703596
"National Council of Churches"	0.0703033
"Southwestern Bell"	0.0702314
"National Urban League"	0.0701598
"Momcilo Krajisnik"	0.0699405
"Election Committee"	0.0698327
"federal office"	0.0697705
SDMI	0.0696616
"Salt Lake Organizing Committee"	0.0694631
"Orange Order"	0.0694601
"International Skating Union"	0.0694577
UDF	0.0691579
"Council of State"	0.069119
"National Federation"	0.0690865
"Speaker Ali Akbar Nateq-Nouri"	0.0690094
CAS	0.068996
"Handgun Control"	0.0689577
"Supreme Council"	0.0688017
NASD	0.0687536
"Chinese Academy of Engineering"	0.0686877
"NBC News"	0.0686204
UAL	0.0684819
"Secretary General Boutros Boutros-Ghali"	0.0684624
"Air China"	0.0683073
"Common Cause"	0.0682666
"National Council"	0.0682567
))
("Allied Signal" (desc 1851.58) (sims
"Pacific Century"	0.192365
Alcoa	0.171481
AlliedSignal	0.168405
Emulex	0.165352
Olivetti	0.142401
Healtheon/WebMD	0.139211
"Banque Nationale"	0.137228
UAL	0.135969
TYCO	0.133412
"International Paper"	0.129226
Broadcom	0.128914
Totalfina	0.128532
"Bank of Scotland"	0.127681
Pfizer	0.125815
Westinghouse	0.124316
"Thermo Electron"	0.123766
Exxon	0.122606
"Royal Bank"	0.121717
LVMH	0.121714
COLTEC	0.121676
"Pratt &AMP; Whitney"	0.119842
Lockheed	0.118705
"JDS Uniphase"	0.118333
"Phelps Dodge"	0.117886
"Northern Telecom"	0.117351
RAMBUS	0.116379
"Total Fina"	0.116241
Dupont	0.116018
"United Technologies"	0.115292
Litton	0.114524
ALZA	0.113203
"Pharmacia &AMP; Upjohn"	0.111943
"Lockheed Martin"	0.111378
Georgia-Pacific	0.109583
Unisys	0.109434
Starwood	0.109336
Clorox	0.108501
Merck	0.107924
"Vodafone AirTouch"	0.107633
Honeywell	0.107531
"Johnson &AMP; Johnson"	0.107358
McKesson	0.106857
Weyerhaeuser	0.106518
Warnaco	0.105817
Raytheon	0.105059
"Tribune Co."	0.105048
"Network Associates"	0.10453
"Micron Technology"	0.104236
"Bausch &AMP; Lomb"	0.104006
om	0.10373
AMP	0.103654
"Pfizer Inc."	0.102886
Qualcomm	0.102743
Amgen	0.102316
Chevron	0.10226
Autodesk	0.10135
"General Electric"	0.101217
"Computer Associates"	0.101041
Unilever	0.100702
"Applied Materials"	0.100195
Daimler-Benz	0.099898
"International Business Machines Corp."	0.0997673
"Glaxo Wellcome"	0.0992508
Hewlett-Packard	0.0986986
Vodafone	0.0985919
"Ford Motor"	0.0984193
Alcatel	0.0981809
Pairgain	0.0981461
Kodak	0.0979207
ENTERGY	0.0977477
Halliburton	0.0975975
TRW	0.0974563
"Nortel Networks"	0.0972628
Seagate	0.0971814
Nortel	0.0967291
Bertelsmann	0.0963663
Vivendi	0.0963584
Pepsico	0.0962603
Ericsson	0.0958887
REPSOL	0.0958372
TELLABS	0.0956327
Citigroup	0.0956104
Norwest	0.0948488
"Legend Group"	0.0947757
VENATOR	0.0946045
EMC	0.0940692
Healtheon	0.0940256
"Global Crossing"	0.0938628
"Delphi Automotive Systems"	0.0933378
Monsanto	0.0932575
"American Home Products"	0.0926353
"Lucent Technologies"	0.0924609
"BP Amoco"	0.0917857
Philips	0.0917833
ENTREMED	0.0916358
Warner-Lambert	0.0915559
"P&AMP;G"	0.0910567
Genzyme	0.0909354
Genentech	0.0906639
RJR	0.0902872
Scientific-Atlanta	0.0901463
IDT	0.090125
"Learning Co."	0.0900868
Delphi	0.0897453
Tenneco	0.0896073
Sunbeam	0.0895419
WebMD	0.0894746
SunTrust	0.0889875
"Du Pont"	0.0889171
XYLAN	0.0888359
Icahn	0.0888028
"Cable &AMP; Wireless"	0.088369
Daimler	0.0881217
Terra	0.0880474
Nokia	0.0878439
ExciteAtHome	0.0877111
"American Home"	0.0876252
"Compaq Computer"	0.0874706
NatWest	0.0874323
"Philip Morris"	0.0870838
Echostar	0.0870467
"Ask Jeeves"	0.0869548
Qwest	0.086798
"MCI Worldcom Inc."	0.0866602
Novell	0.0862356
Rhone-Poulenc	0.0861778
Hasbro	0.0860984
"Hitachi Ltd."	0.0858801
bombardier	0.0857597
"Abbott Laboratories"	0.0857037
"NationsBank Corp."	0.0854467
Ge	0.0850082
PLDT	0.0849825
Zeneca	0.0848905
Motorola	0.0848365
AutoNation	0.0847228
Bestfoods	0.0846316
NiSource	0.0845354
BSKyB	0.0842921
Zapata	0.084133
"Berkshire Hathaway"	0.083985
"Hutchison Whampoa"	0.0838559
WPP	0.0837548
AMR	0.083667
"Cisco Systems"	0.0835681
"HBO &AMP; Co."	0.0835653
Transamerica	0.0834693
Mobil	0.0823714
Cisco	0.0823543
SBC	0.0823069
"Procter &AMP; Gamble"	0.0822271
Gillette	0.0822262
UAM	0.0820767
GANNETT	0.0820397
"General Motors"	0.0816958
Biogen	0.0814161
"Ocean Spray"	0.0811267
Mannesmann	0.0810123
Transmeta	0.080962
Enron	0.0806931
Kellogg	0.0806889
"Air Canada"	0.0806152
Railtrack	0.0805899
"Chase Manhattan Corp."	0.0803956
NTL	0.0802981
"UAL Corp."	0.0802776
Intuit	0.0802693
"Advanced Micro"	0.0802406
CMGI	0.0801935
"Silicon Graphics"	0.0799371
"Advanced Micro Devices"	0.0796441
"British Aerospace"	0.0795839
NORTHROP	0.0795262
"RJR Nabisco"	0.0795156
Checkfree	0.0794766
"Diamond Multimedia"	0.0794519
"Dow Corning"	0.0792798
Nabisco	0.0789527
"Stride Rite"	0.078943
WorldCom	0.0789228
FPL	0.0787802
Viacom	0.0787458
Ciena	0.0786881
Telekom	0.0786553
GTE	0.0784858
"Union Pacific"	0.0784629
Citicorp	0.0783701
Comcast	0.0783457
E-LOAN	0.0780968
Cendant	0.0780702
Allstate	0.0780389
"T Corp."	0.077924
oracle	0.0777788
SmithKline	0.0777352
Sibneft	0.0776371
"Chase Manhattan"	0.0775754
"News Corp."	0.0774238
"Cisco Systems Inc."	0.0765738
Cabletron	0.0763696
"Eli Lilly"	0.0761795
))
(AlliedSignal (desc 3107.64) (sims
"Allied Signal"	0.168405
Litton	0.162985
Totalfina	0.161158
NiSource	0.159952
TYCO	0.14898
Alcoa	0.148379
"Dow Chemical"	0.147209
GPU	0.146028
"J&AMP;J"	0.143981
Georgia-Pacific	0.143573
Federated	0.143404
Honeywell	0.140125
TRW	0.139082
McKesson	0.137436
Raytheon	0.136698
"Northrop Grumman"	0.13579
"United Technologies"	0.134456
ENTERGY	0.133633
SmithKline	0.133183
Goodrich	0.132922
UAL	0.132821
Exxon	0.131416
"Computer Associates"	0.130195
"Berkshire Hathaway"	0.127553
"Times Co."	0.127447
WPP	0.126838
"Times Mirror"	0.125627
"Ford Motor Company"	0.124307
WorldCom	0.124237
Pepsico	0.123426
GANNETT	0.123224
Ameritech	0.123164
AMR	0.122578
"First Union"	0.122487
"Phelps Dodge"	0.122326
Unilever	0.12219
Healtheon/WebMD	0.121002
CCE	0.120665
RJR	0.120568
"National Grid"	0.120383
Lockheed	0.119047
Pfizer	0.117961
Autodesk	0.117876
Aegon	0.117876
IDT	0.117177
Warner-Lambert	0.116325
Chevron	0.116288
Weyerhaeuser	0.115433
"General Electric"	0.114255
Cendant	0.11406
"Waste Management"	0.113689
"MCI WorldCom"	0.11303
AHP	0.111876
"International Paper"	0.111271
SBC	0.111097
Chiron	0.110063
Healtheon	0.110058
"Royal Bank"	0.10893
NatWest	0.108767
Alcan	0.108683
"Pacific Century"	0.108653
Ciena	0.108426
Amgen	0.107825
Yukos	0.107715
Ge	0.107615
"Sara Lee"	0.107579
Viacom	0.107448
"Ford Motor"	0.10741
Comcast	0.107136
Kodak	0.107046
Norwest	0.106823
"Ask Jeeves"	0.106755
Medtronic	0.106664
EMC	0.106611
Nortel	0.106501
"Con Ed"	0.106399
Emulex	0.106332
ALZA	0.106292
Dupont	0.106114
"Global Crossing"	0.105919
WELLPOINT	0.105751
Qwest	0.105504
Comsat	0.104857
Motorola	0.104423
ascend	0.103788
Seagram	0.103486
Humana	0.102609
"Tribune Co."	0.102488
Agilent	0.102407
Aetna	0.102056
"News Corp."	0.101852
Cisco	0.101536
Bridgestone	0.101376
Vodafone	0.101127
Enron	0.100975
Citigroup	0.100791
UTC	0.100762
ABB	0.100171
Xerox	0.100094
"Burlington Northern"	0.0997501
Mannesmann	0.0995556
Genentech	0.0994039
"Food Lion"	0.0993919
"Lockheed Martin"	0.0992981
Inktomi	0.0991575
"American Home Products"	0.0991442
Scripps	0.0990464
Unicom	0.0989062
"Bank of Scotland"	0.0988668
GTE	0.0987879
Vivendi	0.0986861
Monsanto	0.0983484
"P&AMP;G"	0.0979766
Biogen	0.097714
Merck	0.097225
"Gap Inc."	0.096801
"Johnson &AMP; Johnson"	0.0958928
Westinghouse	0.095842
Halliburton	0.0958129
"Texas Instruments"	0.0957957
FPL	0.0956208
"Rite Aid"	0.0954727
"U.S. Trust"	0.0953859
"Chronicle Publishing"	0.0951364
Sunbeam	0.095107
NU	0.0948673
"UAL Corp."	0.0946321
Glaxo	0.094592
Tenneco	0.0944753
NORTHROP	0.0943979
"Bell Atlantic"	0.0941165
Delphi	0.0939986
BCE	0.0937664
Allstate	0.0937097
PLDT	0.0937049
"Dayton Hudson"	0.0934823
Airtouch	0.0932202
Bestfoods	0.092932
Nabisco	0.0929241
"American Home"	0.092894
Genzyme	0.0928024
Albertson's	0.0927684
"Walt Disney Co."	0.0927267
"Union Carbide"	0.0925367
"Procter &AMP; Gamble"	0.0925104
Hasbro	0.0925061
"Boeing company"	0.0916992
"Air Canada"	0.0913883
PEOPLESOFT	0.0910529
Seagate	0.0909436
Cabletron	0.0908092
ARCO	0.0905935
Compaq	0.0905681
BofA	0.0904717
BankAmerica	0.0904409
Telefonica	0.0904096
Anheuser-Busch	0.090393
Daimler-Benz	0.0902813
ENTREMED	0.0897764
CSX	0.0897076
Mattel	0.0891407
"Con Edison"	0.0890376
"Union Pacific"	0.0890157
Intel	0.0890088
Mobil	0.0889284
"HBO &AMP; Co."	0.0887993
"Chrysler Corp."	0.0887098
Unisys	0.0885366
DaimlerChrysler	0.0878081
Checkfree	0.0877646
MiniMed	0.0876747
Chrysler	0.0876057
E-LOAN	0.0874663
"Pratt &AMP; Whitney"	0.0874215
Daimler	0.0873305
VW	0.0872158
Gillette	0.0872052
BankBoston	0.0871227
LVMH	0.0870749
"Deutsche Telekom"	0.0865512
ExciteAtHome	0.0864575
Texaco	0.0863414
BP	0.0861446
ADM	0.0860954
Volvo	0.0860796
RealNetworks	0.0860234
"Northeast Utilities"	0.085393
Interpublic	0.0853698
Belo	0.0853018
"Deutsche Bank"	0.0852657
"Newport News"	0.0851967
"JDS Uniphase"	0.0851546
"Learning Co."	0.0851373
"BP Amoco"	0.0849939
Starwood	0.0849127
Asarco	0.0847789
"WorldCom Inc."	0.0845675
"American Express"	0.0845569
"Red Hat"	0.0844324
Schering	0.0843053
))
(alligator (desc 13651) (sims
crocodile	0.237561
snake	0.158533
turtle	0.146275
deer	0.144048
lizard	0.137738
"black bear"	0.13413
ostrich	0.129013
elephant	0.125164
kangaroo	0.120173
raccoon	0.118896
squirrel	0.117939
frog	0.116596
whale	0.116576
leopard	0.116155
rabbit	0.115359
python	0.113123
tortoise	0.112199
rhino	0.109106
monkey	0.106896
iguana	0.105272
fish	0.104165
elk	0.103279
shark	0.102563
tarantula	0.101685
reptile	0.101529
hippo	0.100562
spider	0.100124
pig	0.0993203
rodent	0.099238
tiger	0.0985912
giraffe	0.0985486
eel	0.0976333
rhinoceros	0.0974019
otter	0.0958748
lion	0.095214
"mountain lion"	0.095073
armadillo	0.094116
"sea turtle"	0.0933756
sturgeon	0.0933259
Gator	0.0920513
egret	0.0918513
toad	0.0917696
"Bengal tiger"	0.0915086
bird	0.0913171
salamander	0.0910372
manatee	0.0909767
antelope	0.090893
orangutan	0.0902628
mammal	0.0900668
CAT	0.0898851
heron	0.0888641
geese	0.0874403
goat	0.0868836
peacock	0.0867454
ibis	0.0865834
rat	0.0864993
swan	0.0855841
pigeon	0.0849406
owl	0.0846055
"giant panda"	0.0845226
animal	0.0843544
parrot	0.0843026
mink	0.0841241
panda	0.0840276
tarpon	0.0840252
insect	0.0837315
moose	0.0821509
goldfish	0.0818622
waterfowl	0.0817968
trout	0.0812903
gorilla	0.0807311
"wild boar"	0.0806248
cheetah	0.0786737
sparrow	0.0780119
"gray whale"	0.0779168
boar	0.0777236
beaver	0.0774822
dog	0.0774422
Pelican	0.0773747
sheep	0.0771004
coyote	0.0761826
bison	0.0761505
zebra	0.0758251
hummingbird	0.0755183
stingray	0.0753197
dolphin	0.0752597
scorpion	0.0751977
creature	0.0748077
stork	0.0743906
ant	0.0743604
quail	0.0740992
snail	0.0739255
duck	0.0731563
"polar bear"	0.0727772
crawfish	0.0717359
crab	0.0717296
mice	0.0717271
fawn	0.0717229
"bald eagle"	0.0717171
rattlesnake	0.0710847
skunk	0.0706928
pheasant	0.0706635
"rainbow trout"	0.0703523
seabird	0.0702255
bunny	0.0699997
wolf	0.0699676
"bighorn sheep"	0.0690011
venison	0.0687986
dragonfly	0.0686182
caribou	0.0682069
"sea lion"	0.0681159
Dinosaur	0.0676582
yak	0.0675054
"rare bird"	0.0674083
oxen	0.0673932
wildlife	0.0671702
"brown bear"	0.0665562
"mountain gorilla"	0.0665112
koala	0.0659782
Catfish	0.0659675
amphibian	0.065925
prawn	0.0656094
mosquito	0.0653759
"snow leopard"	0.0652788
flamingo	0.0650857
dragon	0.0646908
poultry	0.0642645
carp	0.064209
eagle	0.064208
critters	0.0637511
cow	0.0636632
suede	0.0635436
cormorant	0.0633454
chimpanzee	0.0631008
camel	0.0627639
Primate	0.0626923
Crane	0.062691
porpoise	0.0622035
hog	0.0620494
lobster	0.0618003
crow	0.0617625
"peregrine falcon"	0.0617304
cockroach	0.0610275
llama	0.0608462
"sea otter"	0.0608175
chicken	0.0604744
gazelle	0.0603512
mermaid	0.060265
"prairie dog"	0.0601291
"domestic animal"	0.0599252
specie	0.0595859
bobcat	0.0594867
"killer whale"	0.0592778
cobra	0.0592687
worm	0.0591777
beast	0.0589605
baboon	0.0586022
reindeer	0.0585228
ox	0.0584518
Pony	0.0583159
salmon	0.0580154
hamster	0.0576129
lamb	0.0567298
butterfly	0.0563185
hare	0.0562649
"blue whale"	0.0562452
"fire ant"	0.0562013
serpent	0.0555757
hyena	0.0553962
woodpecker	0.0550382
Vulture	0.0550085
horse	0.054949
"right whale"	0.0547099
porcupine	0.0545903
Buffaloes	0.0544878
EMU	0.0542323
grasshopper	0.0541977
parakeet	0.0541167
orchid	0.0540434
ape	0.0539632
Gibbon	0.0539595
larvae	0.0538952
shrimp	0.0538596
beetle	0.0532044
ferret	0.0530491
Macaque	0.0528603
bug	0.0527094
Condor	0.0525946
frogs	0.0514883
oyster	0.051225
chimp	0.0511854
Jellyfish	0.0511666
hedgehog	0.0509618
Livestock	0.0507836
turbot	0.050649
donkey	0.0504877
cattle	0.050395
fowl	0.0500768
"sea horse"	0.0499982
shellfish	0.0498419
))
(ALLISON (desc 9993.39) (sims
"Jason Allison"	0.1817
Samsonov	0.142942
Heinze	0.137881
Thornton	0.134698
"Steve Heinze"	0.112718
Bourque	0.112492
Khristich	0.110895
Jagr	0.110073
"Joe Thornton"	0.109591
"Dave Andreychuk"	0.106936
"Anson Carter"	0.103583
Andreychuk	0.101913
"Dmitri Khristich"	0.0995782
Donato	0.0958851
DiMaio	0.0922027
Yzerman	0.0919118
Nieuwendyk	0.0917494
Lindros	0.0899583
Blake	0.089279
"Mike Modano"	0.0892216
Laudrup	0.0881129
Modano	0.0866254
Niedermayer	0.0863316
Gretzky	0.0860643
"Sergei Samsonov"	0.0856201
Woolley	0.0855189
Kariya	0.0837856
Nedved	0.0835914
Messier	0.0824161
Courtney	0.081955
Ferguson	0.0818549
Dafoe	0.0810343
Shannon	0.080838
Langenbrunner	0.0806603
Stumpel	0.080578
Roenick	0.0804412
Carbonneau	0.0794293
Ashley	0.0785704
"Ray Bourque"	0.0781136
Iverson	0.0780032
Palffy	0.0777632
Michelle	0.0763511
Carter	0.0762012
Robitaille	0.0758836
Katie	0.0748557
Rosa	0.0746506
Audette	0.0733815
Mann	0.0729373
Barkley	0.0725035
Lett	0.0723932
Kathleen	0.0723797
Laperriere	0.0721472
Sweeney	0.071997
Susan	0.071332
Asprilla	0.0706945
Smolinski	0.0706704
Samantha	0.0706595
"Landon Wilson"	0.0706285
Edith	0.0704583
Bure	0.0704209
Primeau	0.0703655
Pierce	0.0703055
Forsberg	0.0701994
Jenna	0.0701763
Taylor	0.0700661
Belanger	0.07002
Fleury	0.0699555
Coates	0.0699529
Leah	0.0699281
murphy	0.0698106
Anderson	0.0697138
Maradona	0.0681736
Sullivan	0.0681299
Sanders	0.0679112
Jessica	0.0676033
Gomez	0.0673788
Jamie	0.0673737
Chelios	0.0672954
Tkachuk	0.0672745
Rodriguez	0.0671737
Fernandez	0.0667255
Casey	0.0666571
Kenseth	0.0665482
Meissner	0.0664725
Dorothy	0.0663575
Sarah	0.0662574
Danielle	0.066134
MacLean	0.0659855
Ellis	0.0656908
Irwin	0.06568
"Tim Taylor"	0.065391
Bryant	0.0653625
Kristin	0.0653445
Palmeiro	0.0652262
Levin	0.0651927
McGrady	0.0651719
Julie	0.0651114
Ferraro	0.0649391
Gaston	0.0648078
Waltrip	0.0647512
LeClair	0.0645787
Stephanie	0.0645164
Holmes	0.0645153
Baggio	0.0644412
Amy	0.0643568
Lehtinen	0.0643056
Kenny	0.0642936
Rachel	0.0642578
Jaffe	0.0642328
Terry	0.0642262
Drew	0.0640738
Hatcher	0.0640563
"Don Sweeney"	0.0639491
"Van Exel"	0.063805
Hamm	0.0638034
Nolan	0.063789
lacy	0.0637374
Tocchet	0.0637089
Brandon	0.0636597
Sonia	0.0636123
Palmer	0.0636091
Hannah	0.0636043
Evans	0.063525
Tuinei	0.0634138
alicia	0.0632211
Carr	0.0631584
Baerga	0.0631577
Jenkins	0.0631486
gill	0.0630689
Gilmour	0.0630541
Sims	0.0630247
Huber	0.0629932
Cunningham	0.0625961
Morrison	0.0622783
Vizcaino	0.0622725
Kovalev	0.0621985
Akers	0.0621294
Yates	0.0621198
Lynn	0.0621166
Dixon	0.0620841
Karen	0.0620486
Eileen	0.0620344
Murray	0.0620055
Natalie	0.0619034
Gugliotta	0.061785
Amanda	0.0617374
Shearer	0.0616396
Kelly	0.061546
Gascoigne	0.061495
Edwards	0.0613163
Sakic	0.0613112
Webber	0.0612317
Stevens	0.0611596
Hardaway	0.061151
drake	0.0611456
Olowokandi	0.0610905
smith	0.0610882
Odom	0.0610654
Leslie	0.0610595
MARBURY	0.0610349
Lobo	0.0609913
Reichel	0.060977
Fiorina	0.0609369
Sykora	0.0608686
Leigh	0.0607714
Brister	0.0607443
"Karenna Gore Schiff"	0.0607105
Malone	0.0606867
Draper	0.0606088
"Rob DiMaio"	0.0605564
Ewing	0.0605053
Rosenthal	0.0604295
Boone	0.0604229
Alomar	0.0603997
Moreau	0.0603733
nance	0.0603054
Bowman	0.0602137
Klinsmann	0.0601705
Elliott	0.0600971
Drury	0.060014
Nancy	0.0600034
Yoon	0.0599089
Tobin	0.0598494
Curtis	0.0597003
Greenwald	0.0596661
Richards	0.0596584
Vieri	0.0594813
Lydia	0.0594222
Christie	0.0593211
Duvall	0.059274
Jennifer	0.0592679
Mahoney	0.0592105
Owen	0.0591731
Linda	0.0591464
WARRICK	0.0590821
MacInnis	0.0587453
Guerin	0.0586797
DeBerg	0.0586702
Testaverde	0.0586446
Tyler	0.0586396
))
(allocation (desc 43748.6) (sims
funding	0.166913
outlay	0.155365
expenditure	0.151345
appropriation	0.147779
allotment	0.144346
distribution	0.136078
subsidy	0.134654
financing	0.129232
budget	0.127871
investment	0.125237
fund	0.123659
payment	0.122437
disbursement	0.122021
grant	0.119829
spending	0.116764
loan	0.116616
utilization	0.116179
assistance	0.111037
saving	0.106856
quota	0.105775
cost	0.105403
revenue	0.1048
reimbursement	0.103558
sum	0.103454
amount	0.102932
donation	0.102819
surplus	0.101387
borrowing	0.101215
aid	0.101049
resource	0.100202
compensation	0.0999321
fee	0.0993338
"financial aid"	0.0993336
transfer	0.0989728
income	0.0982904
inflow	0.0981888
contribution	0.0976825
lending	0.0964622
pricing	0.0962752
input	0.0955833
pension	0.0952308
management	0.0945941
policy	0.0943972
value	0.094392
procurement	0.0943465
money	0.0930212
reduction	0.092888
tax	0.0923768
provision	0.0920369
credit	0.0915668
allowance	0.0912078
salary	0.0911556
deficit	0.0911461
debt	0.0909311
availability	0.0909111
repayment	0.0898984
"budget deficit"	0.0892098
"tax break"	0.089035
portfolio	0.0889803
tariff	0.0884364
shortfall	0.0877718
sharing	0.0875797
asset	0.0872574
"tax credit"	0.0870316
taxation	0.0863098
arrangement	0.0861792
Implementation	0.0861182
infusion	0.0854639
requirement	0.0850947
sale	0.0848401
flow	0.084819
participation	0.0846067
increase	0.0845747
"operating budget"	0.084304
rebate	0.0842996
purchase	0.0842382
incentive	0.0840891
liquidity	0.0840322
exemption	0.0830322
plan	0.0827902
regulation	0.0826267
reform	0.0822621
outflow	0.0821584
measure	0.0817122
"tax revenue"	0.0811794
dividend	0.0809064
planning	0.0807558
supply	0.0803485
representation	0.0802887
total	0.0801763
procedure	0.0800914
"medicare payment"	0.079694
priority	0.0796312
"tax cut"	0.0796153
consumption	0.0794712
profit	0.0793458
valuation	0.0792337
benefit	0.0791669
registration	0.0790605
package	0.0789884
output	0.0789882
proceeds	0.0788657
"tax collection"	0.0787331
projection	0.078645
export	0.0784837
growth	0.0783437
Privatization	0.0783374
ownership	0.0783321
enrollment	0.0783152
refund	0.078294
employment	0.0781873
ratio	0.0780697
program	0.0779473
approval	0.0779217
governance	0.077718
development	0.0775729
strategy	0.0773803
adjustment	0.0771628
issuance	0.0769428
"amount of money"	0.0767651
enforcement	0.07674
commitment	0.076732
protection	0.0766593
bailout	0.0763262
price	0.0763102
wage	0.0761394
transaction	0.0760764
balance	0.0758009
equity	0.0757725
access	0.075754
project	0.0757361
"bond issue"	0.0754949
guarantee	0.0750739
earnings	0.0750459
efficiency	0.0748348
accountability	0.074823
"tax rate"	0.0745801
dollar	0.0745408
deposit	0.0744075
expansion	0.0742515
production	0.0741906
mechanism	0.0740973
structure	0.0740805
"property tax"	0.0739316
premium	0.0737661
payout	0.0737635
deployment	0.0737077
intake	0.0736886
withdrawal	0.0736575
"production cost"	0.0736516
assessment	0.0736404
transparency	0.0736033
estimate	0.0735962
flexibility	0.0735571
GDP	0.0735193
"spending cut"	0.0733356
"capital expenditure"	0.0732765
restructuring	0.0732734
proposal	0.0732545
"tax incentive"	0.072843
expense	0.0727201
volume	0.0726742
limit	0.0726542
legislation	0.0726101
diversification	0.0725796
capacity	0.0725505
import	0.0724918
"growth rate"	0.0723869
"budget cut"	0.0723235
guideline	0.072261
"defense budget"	0.0722208
"operating cost"	0.0722147
"economic policy"	0.0721578
mobilization	0.0721435
target	0.07212
"purchase price"	0.0720327
bonus	0.0719818
permit	0.0718977
initiative	0.0716754
"reserve fund"	0.0716133
receipt	0.0715712
remittance	0.0715431
share	0.0714932
"income tax"	0.0712802
demand	0.0711392
"credit line"	0.0708917
rate	0.0708886
"annual payment"	0.0708
method	0.0707433
application	0.0707326
windfall	0.0705248
contract	0.0704539
system	0.070331
accounting	0.0702992
framework	0.0702879
redistribution	0.0702761
evaluation	0.0702306
holding	0.0702288
endowment	0.0701414
deduction	0.0701188
))
(allotment (desc 8884.34) (sims
allocation	0.144346
"operating budget"	0.108065
quota	0.104355
outlay	0.0984984
appropriation	0.0919043
allowance	0.0907983
"retirement benefit"	0.0857047
payout	0.084944
ration	0.0848045
"purchase price"	0.0844558
stipend	0.0800853
"annual payment"	0.0757097
refund	0.0719631
non-Social	0.0713366
proceeds	0.0701896
"property tax"	0.0697156
expenditure	0.069648
pension	0.0695348
caseload	0.0693393
subsidy	0.0691972
reimbursement	0.0691936
payment	0.0686412
"medicare payment"	0.0681934
"insurance premium"	0.067507
"asking price"	0.0673754
handout	0.0672685
"Social Security benefit"	0.0662429
windfall	0.0660362
"service charge"	0.0656875
"tax deduction"	0.0655978
intake	0.0655525
"production cost"	0.0654661
caseloads	0.0651542
bonus	0.0651533
availability	0.0649609
disbursement	0.0648746
"disability payment"	0.0646462
distribution	0.0644249
salary	0.0637263
"defense budget"	0.0635774
"take-home pay"	0.0632927
acreage	0.0632026
monies	0.0625536
"interest payment"	0.0622401
maximum	0.0621838
Tuition	0.061853
workload	0.061839
infusion	0.0617647
inheritance	0.0612471
payroll	0.0612405
cutoff	0.061143
PRICETAG	0.0608524
"pretax charge"	0.0607845
"tax revenue"	0.0607175
"operating cost"	0.0607081
funding	0.0603246
exemption	0.0600893
"bond issue"	0.0598187
"face value"	0.0597985
sum	0.0597771
"record earnings"	0.0597699
saving	0.059737
"disability benefit"	0.0597246
"retirement age"	0.059424
"tax credit"	0.0590833
subscription	0.0588707
donation	0.0588356
"gasoline tax"	0.0582712
"cash payment"	0.0582324
installment	0.0580173
"capital expenditure"	0.0579506
restitution	0.0578694
rebate	0.0578659
"export quota"	0.0578143
"credit line"	0.0577987
paycheck	0.0577921
enrollment	0.057452
deduction	0.0573782
"nest egg"	0.0573645
surplus	0.0572595
expropriation	0.0571944
premium	0.0571721
"tax rate"	0.0571374
rations	0.0571241
"production ceiling"	0.0569794
redistribution	0.0568251
rulebook	0.0567941
"golden parachute"	0.0566858
bounty	0.0566064
eligibility	0.0565925
"line of credit"	0.0565623
minimum	0.0564351
compensation	0.0563595
"reserve fund"	0.0557775
entitlement	0.0556884
"season ticket"	0.0556041
"electric bill"	0.0555982
financing	0.0554227
"selling price"	0.055072
"shelf life"	0.0550569
"management fee"	0.0548638
"tax bill"	0.0547915
"key rate"	0.0546396
"retail price"	0.0544151
receipt	0.0543986
"trust fund"	0.0543849
"prize money"	0.0543444
inventory	0.0542771
incentive	0.0538879
payouts	0.0538099
"bank rate"	0.0536344
"food stock"	0.0533188
"income tax return"	0.0532336
shortfall	0.0530034
"time limit"	0.0528995
licence	0.0526912
"seating capacity"	0.0526453
tenancy	0.0525745
annuity	0.0524809
"compensation package"	0.0523142
"war chest"	0.0520881
"wage increase"	0.0520521
"tax liability"	0.0520011
"asset value"	0.0517061
alimony	0.0515775
utilization	0.051451
"financial aid"	0.0514255
"Official Development Assistance"	0.0512347
voucher	0.0512122
airdrop	0.051121
"pretax profit"	0.0510705
"price tag"	0.0510055
"tax collection"	0.050995
weighting	0.0509652
"entrance fee"	0.0508892
"progress report"	0.050772
"income tax"	0.0504112
ownership	0.0501894
"service contract"	0.0501128
"down payment"	0.0501023
severance	0.0499942
workforce	0.0499919
dividend	0.0498217
forfeiture	0.0496559
"about $@@ million"	0.0496186
issuance	0.0494372
"minimum wage"	0.0494048
"death benefit"	0.0493936
remittance	0.0493924
"tax income"	0.0493541
"working capital"	0.0493276
transfusion	0.0490195
"work permit"	0.0490087
procurement	0.0489971
"excise tax"	0.0489807
savings	0.0489581
endowment	0.0488043
"list price"	0.0487408
"incentive program"	0.0486927
coupon	0.0484457
"gross national product"	0.0484062
"tax break"	0.0483506
"ad blitz"	0.0482583
"capital stock"	0.0482517
"gross income"	0.0481963
jackpot	0.0481533
increment	0.0480285
tranche	0.0478592
"market value"	0.0477998
resale	0.0477934
inflow	0.0477082
"value-added tax"	0.0475595
tariff	0.0474455
"average cost"	0.047277
liquidity	0.0472724
repurchase	0.0471409
"borrowing cost"	0.0471333
IOU	0.0469999
"oil production"	0.0468783
write-down	0.0468495
lifespan	0.0467489
"marketing cost"	0.0466773
"operating expenses"	0.0466635
"tax reduction"	0.0466458
GNP	0.0465721
recipient	0.0465344
"admission fee"	0.0465131
"tax incentive"	0.046483
ratio	0.0463722
certificate	0.0461589
"tender offer"	0.0460938
"starting time"	0.0458058
"net income"	0.0456862
"disability insurance"	0.0456559
tranches	0.0456071
"Nobel Peace Prize"	0.0455235
granting	0.0454494
"budget deficit"	0.0454458
withholding	0.0453935
"prison sentence"	0.0453726
))
(allowance (desc 29849.4) (sims
stipend	0.201313
pension	0.200075
salary	0.151083
subsidy	0.148716
bonus	0.14698
wage	0.139916
"retirement benefit"	0.139906
compensation	0.138852
payment	0.137528
"tax credit"	0.133318
fee	0.130124
"minimum wage"	0.126615
"pay raise"	0.123715
benefit	0.119203
increment	0.118244
Tuition	0.117993
reimbursement	0.117579
rent	0.116678
rebate	0.115426
expense	0.115038
"wage increase"	0.112723
deduction	0.111629
"insurance premium"	0.110762
premium	0.108371
incentive	0.107253
"tax break"	0.10592
exemption	0.104954
grant	0.102605
income	0.102483
scholarship	0.101772
tax	0.0992489
insurance	0.0990893
"health insurance"	0.0980837
cost	0.0978349
"income tax"	0.0976099
"Social Security benefit"	0.0972564
perk	0.0971629
"medical care"	0.0968992
credit	0.096199
dividend	0.0956939
"stock option"	0.0941849
saving	0.0934737
expenditure	0.0929852
sum	0.0929819
paycheck	0.0929038
refund	0.0928867
assistance	0.091971
"health benefit"	0.0913346
"tax deduction"	0.0912938
allocation	0.0912078
"cash payment"	0.0910047
voucher	0.0908203
allotment	0.0907983
"down payment"	0.0898403
outlay	0.089726
funding	0.0897099
"cost of living"	0.088735
"entrance fee"	0.0882511
Housing	0.0877993
"fringe benefit"	0.0877565
"tax rate"	0.0876167
fine	0.0871842
loan	0.0871225
gratuity	0.0866299
"job security"	0.085918
quota	0.0853289
"financial aid"	0.0847294
"legal fee"	0.0839979
fare	0.0837039
reward	0.0835976
money	0.0835447
privilege	0.0830517
"disability benefit"	0.0828718
"tax benefit"	0.0827019
"property tax"	0.0824993
reparation	0.0819019
remuneration	0.0810276
contribution	0.0809492
donation	0.0809074
fund	0.0805122
discount	0.0803083
surcharge	0.0798136
arrears	0.0795381
accommodation	0.0794833
bribe	0.0793603
payout	0.0790178
restitution	0.078801
"medicare payment"	0.0782824
package	0.0780692
amount	0.0780661
tariff	0.0780563
"time off"	0.0780367
guarantee	0.077777
ration	0.0776738
minimum	0.0774041
mortgage	0.0773375
financing	0.0771363
payouts	0.0769091
gift	0.0767005
"production cost"	0.0762022
"operating expenses"	0.0761608
"health care"	0.0761093
"retail price"	0.0757137
"tax bill"	0.0752669
"prize money"	0.0752123
budget	0.0745381
rental	0.0744389
welfare	0.0743764
"import duty"	0.0743017
"sick leave"	0.0741326
"interest payment"	0.0739018
"capital gain"	0.0738782
"service charge"	0.0736064
"savings account"	0.0729843
"cash bonus"	0.0723033
coverage	0.0718293
"operating cost"	0.0716388
penalty	0.0715001
co-payment	0.0714045
deposit	0.071386
"compensation package"	0.0713124
employment	0.0711826
"tax incentive"	0.0708511
"credit line"	0.0708162
"amount of money"	0.0707185
hike	0.0706913
requirement	0.070689
"life insurance"	0.0705367
check	0.070413
savings	0.0704122
training	0.0703623
"work permit"	0.0703088
"defense budget"	0.0702643
"customs duty"	0.0699822
"food stamp"	0.0698787
severance	0.069855
"social security"	0.0698106
aid	0.069509
maximum	0.0694903
"selling price"	0.0689752
permit	0.0688989
"child care"	0.068898
royalty	0.0688444
"purchase price"	0.0684865
intake	0.0681603
"medical bill"	0.0678973
certificate	0.0675689
"excise tax"	0.0671991
spending	0.0670815
reduction	0.067002
protection	0.0667024
Medicaid	0.0661561
"take-home pay"	0.0661441
"living wage"	0.0660894
debt	0.0660412
coupon	0.0660396
"child support"	0.0659462
taxation	0.0654581
medical	0.0654457
"training program"	0.0654161
"standard of living"	0.0653907
"mortgage rate"	0.0651867
co-payments	0.0651612
"tax reduction"	0.0649543
relief	0.064835
"retirement age"	0.0648337
payroll	0.0646357
"sales tax"	0.064375
alimony	0.0642994
"price tag"	0.0642779
Ransom	0.0642662
provision	0.0642162
payoff	0.0639786
"tax revenue"	0.0638508
"social welfare"	0.0638022
liability	0.0634828
"social service"	0.0633752
annuity	0.06315
amnesty	0.0629312
"retirement account"	0.0624464
investment	0.0624436
"vocational training"	0.0622303
education	0.0622144
adjustment	0.0621349
copayments	0.0620861
cash	0.0619684
"tax cut"	0.0618427
concession	0.0617797
repayment	0.0616284
"nest egg"	0.0613017
"gasoline tax"	0.0610651
counseling	0.0610304
ticket	0.0609715
"bus fare"	0.0608271
visa	0.0607484
appropriation	0.0605815
facility	0.0605343
borrowing	0.0604136
"list price"	0.0603756
"capital gains tax"	0.0603263
))
(alloy (desc 7650.14) (sims
aluminum	0.150759
ingot	0.131004
magnesium	0.127539
steel	0.109682
metal	0.103483
chrome	0.101222
resin	0.0994839
smelter	0.0986427
aluminium	0.0975776
ore	0.0974472
Zinc	0.0922165
"stainless steel"	0.0921756
Copper	0.0910444
plastic	0.0899947
titanium	0.0897007
smelters	0.089406
tubing	0.0889245
"building material"	0.0888465
cladding	0.0866642
cadmium	0.0865584
billet	0.0862906
sheeting	0.0839113
iron	0.0835789
manganese	0.081158
fiberglass	0.0780556
mineral	0.0768972
rod	0.0767934
silicon	0.0763496
coating	0.0762497
"synthetic fiber"	0.0755083
petrochemical	0.0747528
oxide	0.0740485
cobalt	0.0731655
sulfate	0.0731196
polymer	0.0730965
rubber	0.0709452
fiber	0.0699354
Atom	0.0698846
cookware	0.0694384
cement	0.0692876
vinyl	0.0688839
tungsten	0.0686831
"iron ore"	0.067867
mesh	0.0669388
"rare earth"	0.0667114
isotope	0.0666164
"raw material"	0.0665074
stanchion	0.0634778
Nickel	0.0630789
ceramic	0.0629547
fertilizer	0.0620206
synthetic	0.0611236
nylon	0.0604622
Plywood	0.0604375
casing	0.0603762
polyurethane	0.0599001
Coal	0.059735
ethylene	0.0596714
Tin	0.0594242
lumber	0.0590869
outrigger	0.0585904
semiconductor	0.0585477
"household appliance"	0.0577712
"memory chip"	0.0577377
chromium	0.0577343
transistor	0.0571868
pellet	0.0571432
"machine tool"	0.0571315
timber	0.0568379
cellulose	0.0567727
lubricant	0.0566582
machinery	0.0563956
graphite	0.0562605
platinum	0.0558598
petroleum	0.0557474
"chemical compound"	0.0556968
textile	0.055538
pesticide	0.0554974
"integrated circuit"	0.0553766
pulp	0.0550456
"precious metal"	0.0550427
wick	0.0549429
palladium	0.0545261
microchip	0.0533387
cardboard	0.0530977
fitting	0.0529382
cotton	0.0528901
louver	0.0527304
"UNIX operating system"	0.0526847
leather	0.0523961
adhesive	0.052348
pharmaceutical	0.0522886
"diesel oil"	0.0521984
"organic compound"	0.0519179
limestone	0.0516568
chloride	0.0515158
foodstuff	0.051089
gemstone	0.0509472
fabric	0.0508387
axle	0.050789
"crude oil"	0.0506465
chalice	0.0500729
metallurgy	0.0499085
"motor vehicle"	0.0494668
"catalytic converter"	0.0492651
"over @@@ tons"	0.0492417
foundry	0.049197
newsprint	0.0491076
Quill	0.049102
"one ton"	0.048957
"motor oil"	0.0487716
"steel production"	0.0483039
wool	0.0482443
"specialty chemical"	0.047755
plutonium	0.047743
rusting	0.0477236
oilseed	0.0475163
insecticide	0.047407
foam	0.0472582
"teaching method"	0.0471607
by-product	0.0470766
typeface	0.0469319
Plexiglas	0.0468433
carbon	0.0466075
tube	0.046592
bauxite	0.0465071
"liquefied petroleum gas"	0.0463895
caster	0.0463818
polyethylene	0.0463388
appliance	0.0462925
"growth hormone"	0.0462639
"spare part"	0.0462496
porcelain	0.0461134
roofing	0.0460586
hydrocarbon	0.0460359
brass	0.0459604
uranium	0.0459398
"chemical industry"	0.0456858
mining	0.0456755
CFCs	0.0455659
"ball bearing"	0.0454855
asbestos	0.0453487
chassis	0.0453313
nitrogen	0.045302
crystal	0.0452024
Gypsum	0.0451861
"home appliance"	0.0449952
packaging	0.0449819
fabricator	0.0449119
siding	0.0448038
hardness	0.044802
"palm oil"	0.0444286
Projector	0.0443309
microprocessor	0.0440947
ion	0.0440192
emulsion	0.0436208
silica	0.0434507
phosphate	0.0434004
enamel	0.0433953
electronics	0.043377
optic	0.0433052
polypropylene	0.0431185
utensil	0.0430856
canister	0.0430698
handicraft	0.0430448
"pig iron"	0.0429594
hardware	0.0429281
mercury	0.0428571
additive	0.0427578
nitroglycerin	0.0427138
fungicide	0.042695
Ore.	0.0426855
fastener	0.0426783
electrode	0.0425738
"instrument panel"	0.0425472
"weapons system"	0.0424555
sulfur	0.0424015
"aircraft part"	0.0423607
circuitry	0.0423578
"solar cell"	0.0423405
herbicide	0.0421294
jute	0.0420985
solder	0.0420114
scaffolding	0.0418137
candlestick	0.0415531
detergent	0.0414545
"cut of meat"	0.0414447
prong	0.0413952
IC	0.0413091
laser	0.0413032
"consumer goods"	0.0412795
"mineral resource"	0.0412305
cylinder	0.0411895
truss	0.0410353
pewter	0.0409265
silk	0.0409105
VCD	0.0408801
garment	0.0407774
"electronic equipment"	0.0406717
wax	0.0405472
))
(allspice (desc 3504.53) (sims
nutmeg	0.422428
turmeric	0.410542
coriander	0.38313
cardamom	0.380199
cayenne	0.37778
cumin	0.376957
"white pepper"	0.349917
"black pepper"	0.344635
cinnamon	0.344625
peppercorn	0.3294
"cayenne pepper"	0.318549
clove	0.3125
"chili powder"	0.308455
"baking powder"	0.303983
oregano	0.302067
"fennel seed"	0.299534
paprika	0.288788
thyme	0.288663
"coriander seed"	0.287355
"cumin seed"	0.280073
mace	0.278903
"lemon zest"	0.274297
"star anise"	0.270424
"pepper sauce"	0.269489
"Worcestershire sauce"	0.264289
"bay leaf"	0.263134
"curry powder"	0.26256
"orange zest"	0.25875
marjoram	0.24319
ginger	0.242655
"baking soda"	0.239945
anise	0.220109
"almond extract"	0.218073
"vanilla extract"	0.218035
"celery seed"	0.212877
"lemon juice"	0.21078
"soy sauce"	0.206129
"garlic salt"	0.205349
salt	0.201899
"mustard seed"	0.200209
pepper	0.196288
parsley	0.194374
vanilla	0.193653
saffron	0.192789
cornstarch	0.192633
rosemary	0.192165
Garlic	0.187423
"lime juice"	0.184553
vinegar	0.180943
"sesame oil"	0.180037
mustard	0.179134
flake	0.177995
tarragon	0.175285
"wine vinegar"	0.174392
"tomato paste"	0.170709
chilies	0.169975
"red pepper"	0.168839
Basil	0.166446
"brown sugar"	0.164142
"Tabasco sauce"	0.161968
"sesame seed"	0.158795
"cider vinegar"	0.1575
shallot	0.155287
dill	0.152896
cilantro	0.152799
"hot pepper"	0.148904
"seasoned salt"	0.147006
mint	0.143889
chive	0.140407
"hot sauce"	0.138344
"lemon peel"	0.135819
"olive oil"	0.131025
Tabasco	0.130095
powder	0.128426
"orange peel"	0.128376
onion	0.12717
"corn syrup"	0.127131
molasses	0.126255
"coconut milk"	0.125792
sugar	0.125524
Sage	0.124754
half-and-half	0.124131
jalapeno	0.123194
zest	0.122741
horseradish	0.119923
"egg yolk"	0.118226
raisin	0.11818
"vanilla bean"	0.116202
"orange juice"	0.113943
"garlic clove"	0.113839
honey	0.113284
"heavy cream"	0.113091
spice	0.109162
"poppy seed"	0.10859
sprig	0.107151
lemon	0.107001
flavoring	0.106502
"maple syrup"	0.105964
cornmeal	0.105673
"green onion"	0.104807
"chili sauce"	0.104201
lemongrass	0.103844
savory	0.102883
"evaporated milk"	0.102397
lime	0.101681
seasoning	0.100617
almond	0.0997454
fennel	0.0996806
tahini	0.0987062
"macadamia nut"	0.0979482
scallion	0.097397
"pine nut"	0.0968834
flour	0.096714
"chicken stock"	0.0959532
hazelnut	0.095951
"sour cream"	0.0956121
butter	0.0944805
buttermilk	0.0935029
coconut	0.0922195
chervil	0.0919227
caper	0.0917263
"green pepper"	0.0911233
cocoa	0.0905726
paste	0.0887342
chiles	0.0876585
Chili	0.0870732
"vegetable oil"	0.0862212
"beef broth"	0.0862017
margarine	0.0860137
"bell pepper"	0.0855677
peppermint	0.0846435
brandy	0.0822332
"chicken broth"	0.0818776
"red onion"	0.0816884
herb	0.0813733
anchovy	0.0805428
teaspoon	0.080074
cream	0.0797293
kosher	0.0796155
"white wine"	0.0791748
"peanut oil"	0.0789906
sherry	0.0779951
"barbecue sauce"	0.0770346
celery	0.0769399
pecan	0.0765003
ketchup	0.0764274
mayonnaise	0.0764235
oat	0.0763692
"chili pepper"	0.0755741
shortening	0.0755594
broth	0.0751507
"tomato sauce"	0.0746792
Tamarind	0.0742124
"Grand Marnier"	0.0735376
breadcrumb	0.0734747
crumb	0.0734297
pinch	0.0733687
gelatin	0.0729549
"condensed milk"	0.0727931
tapioca	0.0727641
tomato	0.07211
"beef stock"	0.0720756
liqueur	0.0715098
Hawthorn	0.0714244
pimento	0.0710096
yeast	0.0706248
"peanut butter"	0.0705452
lentil	0.070469
puree	0.0689658
licorice	0.0683921
"whipping cream"	0.0677813
"food coloring"	0.0668125
syrup	0.0661673
olive	0.0658454
"egg white"	0.0646709
"tomato juice"	0.0642838
"cream cheese"	0.0641218
"cooking oil"	0.0637123
Parmesan	0.0630994
juice	0.0629088
ricotta	0.0623919
leek	0.0619352
citrus	0.0618656
walnut	0.0617136
rum	0.0613506
eggplant	0.0606814
currant	0.0605032
"red wine"	0.0597829
subsidence	0.0595013
soy	0.0584058
"black olive"	0.0581215
raspberry	0.0581154
wasabi	0.0571403
Cognac	0.0569047
prosciutto	0.0565029
carrot	0.0557637
"cashew nut"	0.055234
yogurt	0.0551712
pineapple	0.0547654
"pineapple juice"	0.0546938
))
(Allstate (desc 3334.95) (sims
"State Farm"	0.222473
"American International Group"	0.147102
Aetna	0.142722
Conseco	0.135475
Geico	0.13084
Humana	0.128791
UTC	0.126261
GPU	0.123355
AIG	0.117814
AHP	0.115808
RJR	0.115472
TYCO	0.114708
NiSource	0.114339
Georgia-Pacific	0.114122
ENTERGY	0.108641
Starwood	0.108329
Unisys	0.105195
Litton	0.104616
WELLPOINT	0.103809
"Consolidated Edison"	0.103118
Genentech	0.10274
Providian	0.102228
IDT	0.100365
Pairgain	0.100054
AMR	0.0997943
"Southern Co."	0.0995913
"Aetna Inc."	0.0993704
Scientific-Atlanta	0.0992384
All-Tech	0.0986529
"Con Edison"	0.0986332
Broadcom	0.0983831
"Food Lion"	0.0969743
McKesson	0.0966809
AlliedSignal	0.0937097
Hasbro	0.0936398
Mattel	0.0933353
"Sears, Roebuck &AMP; Co."	0.0930032
ING	0.0928215
Dupont	0.0927338
Allianz	0.092697
HBOC	0.0926215
Biogen	0.0918553
AXA	0.0908922
"Phelps Dodge"	0.0906157
Odwalla	0.0903558
Echostar	0.090323
Alltel	0.0900561
SGI	0.0898919
Kroger	0.0898476
Travelers	0.0897849
Clorox	0.0893052
Weyerhaeuser	0.089216
MetLife	0.0887467
"Ask Jeeves"	0.0886726
Globalstar	0.0886411
Hancock	0.0882001
"American Home"	0.0881338
"First Union"	0.088091
Compaq	0.0877373
Overnite	0.0875197
"Philip Morris"	0.0873902
"Con Ed"	0.0871032
Chiron	0.0863783
ARCO	0.0862838
ADM	0.0862048
Federated	0.086089
Ciena	0.0860491
"Blue Cross"	0.0855679
Toysmart	0.0853146
TRW	0.0849953
CNA	0.0848895
NCR	0.0846592
Raytheon	0.0844368
XYLAN	0.0838849
Pfizer	0.0836104
Checkfree	0.0834749
EMC	0.0833726
Pepsico	0.0832712
ITT	0.0831844
Albertson's	0.0829042
Gillette	0.0827613
PictureTel	0.0826668
EEOC	0.0825659
Vitesse	0.0821625
FPL	0.0821086
Genzyme	0.0820829
COLTEC	0.0820064
prudential	0.0819714
MiniMed	0.0816555
"Publishers Clearing House"	0.0813988
"Coca-Cola Enterprises"	0.0813215
SmithKline	0.0812384
"R.J Reynolds"	0.0809893
HP	0.0809737
Amgen	0.080731
Monsanto	0.0804121
Chevron	0.0803996
NationsBank	0.0802544
Sunbeam	0.0802265
"Union Carbide"	0.0801249
Warner-Lambert	0.0801204
"Sara Lee"	0.0800107
GANNETT	0.0798695
"Department of Corrections"	0.0798187
Aegon	0.0795608
"Koch Industries"	0.0795204
"Network Associates"	0.0794193
ExciteAtHome	0.079409
Inktomi	0.0791359
Polaroid	0.0791165
Exxon	0.0790152
RIAA	0.0789412
"P&AMP;G"	0.0787279
Lockheed	0.0785782
Safeway	0.0785577
UAL	0.0784703
"Adobe Systems"	0.0783274
Datek	0.0782932
Sears	0.078217
Corning	0.0782013
GTE	0.078041
"Allied Signal"	0.0780389
Equifax	0.0779198
AGL	0.0776759
Cabletron	0.0775916
"Computer Associates"	0.0774542
Cisco	0.0773705
Adelphia	0.077262
SunTrust	0.0764693
Priceline	0.0763294
Cigna	0.0762899
TELLABS	0.076258
Medtronic	0.0762362
SBC	0.0759527
Heinz	0.0758829
"Network Solutions"	0.0758518
Emulex	0.075728
"Deutsche Bank"	0.0757043
SCI	0.0753785
"PG&AMP;E"	0.0753134
Cendant	0.0753
Sepracor	0.0750513
CMGI	0.0749593
"John Hancock"	0.0749014
Alcatel	0.074812
"U.S. Trust"	0.0742881
PEOPLESOFT	0.0742795
Healtheon/WebMD	0.0742315
"Thermo Electron"	0.0741224
AutoNation	0.0735146
WorldCom	0.0734812
Motorola	0.0733179
"Coca-Cola Co."	0.0732877
Informix	0.0730435
"Philip Morris Cos."	0.0729529
"Met Life"	0.0729102
BP	0.0728097
Texaco	0.0726383
"News Corp."	0.0725778
Wal-Mart	0.0724532
LVMH	0.0723338
VENATOR	0.0722447
"Pacific Century"	0.0721106
Honeywell	0.0720621
"Dow Chemical"	0.0720562
"Pacific Bell"	0.0720396
"Home Depot"	0.0720098
Nortel	0.0720062
"Pac Bell"	0.0719123
Terra	0.0718921
Qwest	0.0718827
Unilever	0.0718719
Comsat	0.0717228
Vivendi	0.0715771
IMS	0.071464
"J&AMP;J"	0.0713309
Shinn	0.0711345
Avis	0.071042
Seagate	0.0710151
Bulog	0.0709615
"Global Crossing"	0.0709531
"US West"	0.0709444
Lilly	0.0701839
Intel	0.0699695
Generali	0.0697883
"International Paper"	0.0697049
Asarco	0.0696149
"Aetna U.S. Healthcare"	0.0694769
AmeriTrade	0.0694092
Daiwa	0.0693597
UAM	0.0693373
"MCI WorldCom"	0.0692332
BofA	0.0690211
Anheuser-Busch	0.0690128
"Walt Disney Co."	0.068875
Ge	0.0686959
"Forest Service"	0.0686557
Citigroup	0.0685158
TKT	0.0683876
Intergraph	0.068214
))
(Alltel (desc 1238.53) (sims
"Georgia Power"	0.168281
TYCO	0.160368
SGI	0.156861
Tenneco	0.154888
Starwood	0.151717
Cerent	0.14974
"Con Ed"	0.148976
UAM	0.147013
GPU	0.146953
Norwest	0.146688
Adelphia	0.145745
ALZA	0.143596
NORTHROP	0.143136
XYLAN	0.142746
"Boston Scientific"	0.142549
"Computer Associates"	0.140929
TELLABS	0.138801
Northpoint	0.137268
VENATOR	0.134417
Wachovia	0.131809
"Phelps Dodge"	0.131146
McKesson	0.130582
Litton	0.129733
"Consolidated Edison"	0.128352
SmithKline	0.127048
Medtronic	0.125823
"First Union"	0.124958
RJR	0.124692
NTL	0.124164
"P&AMP;G"	0.123476
Conseco	0.123139
Gymboree	0.122527
Airtouch	0.121084
WPP	0.121015
ENTERGY	0.120741
Cendant	0.120676
SBC	0.12022
ENTREMED	0.120129
Equifax	0.119373
Cadbury	0.119342
EMC	0.119108
Federated	0.1185
"MCI WorldCom"	0.118155
Albertson's	0.117972
UAL	0.117262
"National Grid"	0.116614
Ciena	0.113464
Echostar	0.112665
"Learning Co."	0.112113
Sunbeam	0.111991
Qualcomm	0.111875
ARCO	0.111728
GTE	0.110991
"Con Edison"	0.110748
"KCP&AMP;L"	0.110445
"Bell Atlantic"	0.110394
VoiceStream	0.110124
BellSouth	0.109817
CSX	0.109683
WELLPOINT	0.109482
Aegon	0.108819
Nortel	0.108765
AIG	0.108123
BankBoston	0.107053
"Sara Lee"	0.105828
Chiron	0.105803
Danka	0.105795
MetLife	0.105592
Daimler	0.105248
Amway	0.104982
GANNETT	0.104928
Inktomi	0.104491
Genzyme	0.104418
"T Wireless"	0.104167
Fedex	0.103577
IDT	0.103267
Cisco	0.103201
CCE	0.103191
Overnite	0.103131
Healtheon/WebMD	0.102583
Checkfree	0.102038
"Washington Mutual"	0.101784
Georgia-Pacific	0.101648
"Ocean Spray"	0.101072
Aetna	0.100848
BofA	0.100579
Biogen	0.100369
Humana	0.0997841
CSC	0.0997772
PRIMESTAR	0.0994343
"Cox Communications"	0.0993071
UBS	0.0992578
"Norfolk Southern"	0.0988958
Delphi	0.0987595
Lockheed	0.09801
Akamai	0.0979764
Merrill	0.097965
Cabletron	0.0974885
CMGI	0.0969755
"Levi Strauss &AMP; Co."	0.0969619
Webvan	0.0969612
Astra	0.0968207
Konka	0.0964128
Raytheon	0.0963822
Netcom	0.0962086
TCI	0.0961779
"Sprint PCS"	0.0960332
Glaxo	0.0956801
"GE Capital"	0.0955894
MCI	0.0953501
MindSpring	0.0953232
USEC	0.0950296
Priceline	0.0949973
"American Home"	0.0949262
"Ford Motor"	0.0949183
Alcatel	0.0949143
"Thermo Electron"	0.0947707
AMR	0.0945248
Weyerhaeuser	0.0944279
NatWest	0.0941907
COLTEC	0.0938965
"US West"	0.0938123
"UAL Corp."	0.0936634
REVLON	0.0936124
WebMD	0.0934919
Marketspan	0.0933931
Broadcom	0.0933721
Compaq	0.0930919
NiSource	0.0930304
Transamerica	0.0930118
Unicom	0.0928127
SFX	0.0927255
Deutsche	0.0921009
Caldor	0.092044
BankAmerica	0.0918501
ADM	0.0918473
Motorola	0.0917352
Cigna	0.0917177
"U S West"	0.0916722
Ingalls	0.0916109
Providian	0.0914804
WorldCom	0.0913929
E-Trade	0.0912728
"transit authority"	0.0911865
Seagate	0.0910462
CCA	0.0907523
Clorox	0.090516
"Deutsche Bank"	0.0904621
Verizon	0.0902276
Allstate	0.0900561
"BellSouth Corp."	0.0898853
Warner-Lambert	0.0898776
Pairgain	0.0895271
Healtheon	0.0895138
Telefonica	0.0891741
FPL	0.0891527
Terra	0.0890982
Mediaone	0.0888811
Mattel	0.0888558
AXA	0.088786
"BP Amoco"	0.0887561
"Gap Inc."	0.088602
Asda	0.0885354
Comsat	0.0885084
Bristol-Myers	0.0883548
"Air Canada"	0.0881095
"R Block"	0.0878979
Nextel	0.0878504
EarthLink	0.0878034
Nikko	0.087575
"Dow Chemical"	0.0869947
Sibneft	0.0865601
ExciteAtHome	0.0863941
Safeway	0.0863915
iXL	0.0860786
Enron	0.0859376
PLDT	0.0859103
Bestfoods	0.0855928
Honeywell	0.0855741
Ameritech	0.0855204
CNET	0.0854121
"Pacific Bell"	0.0851413
Kellogg	0.0850453
Warnaco	0.0850205
"Times Co."	0.0849786
SunTrust	0.0849229
Pepsico	0.0847911
Walmart	0.084685
"British Aerospace"	0.0846358
Kroger	0.0843717
All-Tech	0.0842962
Pinkerton	0.0842443
"Dow Corning"	0.0840789
Livent	0.0840297
NIC	0.0836676
Cargill	0.0836124
Quaker	0.0835529
"Hongkong Telecom"	0.0835439
Viacom	0.0835008
Bertelsmann	0.0834953
))
(allure (desc 16857) (sims
Lure	0.108908
Mademoiselle	0.100332
attractiveness	0.0969976
Elle	0.0965599
glamour	0.0912307
MYSTIQUE	0.0900622
charm	0.0867821
beauty	0.0835386
cachet	0.0715268
Esquire	0.0715214
luster	0.0711804
popularity	0.0700685
aura	0.0697209
resonance	0.0682071
elegance	0.0681056
GQ	0.0673293
cosmopolitan	0.0659525
attraction	0.0655391
excitement	0.0640064
fascination	0.0636579
"vanity fair"	0.0617263
charisma	0.0611213
richness	0.0610957
magnetism	0.0607279
thrill	0.0599794
Vibe	0.0588815
relevance	0.0583759
vogue	0.0583481
temptation	0.0580293
essence	0.0571855
sophistication	0.0567913
grandeur	0.056366
downside	0.0560751
nature	0.055994
potency	0.0556459
significance	0.0553824
wallop	0.0552264
greatness	0.0546292
magic	0.0543891
prestige	0.0541893
intimacy	0.0541532
vastness	0.0540654
vision	0.0540407
passion	0.0539697
pleasure	0.053897
maxim	0.0538288
enthusiasm	0.0536964
meaning	0.0534382
intricacy	0.0531399
symbolism	0.0529784
importance	0.0528369
intensity	0.0528358
brilliance	0.0527843
emptiness	0.0526789
complexity	0.0526482
simplicity	0.0526263
clout	0.0525411
subtext	0.0525253
ambience	0.052071
subtlety	0.0519819
uniqueness	0.0517477
originality	0.0515987
flavor	0.0515033
oomph	0.0513497
edginess	0.0512855
"Atlantic Monthly"	0.0509
motivation	0.0508392
sparkle	0.0503253
mystery	0.0502712
humor	0.050236
likelihood	0.0499737
wit	0.0499223
novelty	0.0499118
stature	0.0498688
intrigue	0.0496959
logic	0.0495595
sensibility	0.0493141
vitality	0.0492911
enticement	0.0492822
feeling	0.0490941
personality	0.0490845
viability	0.0489656
nuance	0.0488874
"staying power"	0.0487444
pitfall	0.0485951
usefulness	0.048533
aspect	0.0484122
"Entertainment Weekly"	0.0483933
volatility	0.0480388
undercurrent	0.0479607
glow	0.0479316
immediacy	0.047593
enjoyment	0.0475035
notion	0.0474691
vulnerability	0.0474045
poignancy	0.0470156
irony	0.046976
perception	0.0469175
"sex appeal"	0.0468502
buzz	0.046827
drawback	0.0467202
fantasy	0.0466247
virtue	0.0465497
warmth	0.0464438
dynamic	0.0463761
horsepower	0.0462636
pedigree	0.046256
danger	0.0462303
glitter	0.0460864
glamor	0.0459927
universality	0.0459796
peril	0.0459039
awkwardness	0.0456719
suspense	0.0456305
paradox	0.0455789
optimism	0.0452862
effectiveness	0.0452045
stigma	0.0451263
"drawing power"	0.0451099
absurdity	0.0451079
sheen	0.0450174
ramification	0.0447763
rationale	0.0447736
Chemistry	0.0446448
pathos	0.0444702
fluidity	0.04444
impression	0.0443804
myth	0.044379
vibrancy	0.0443249
affinity	0.0442593
urgency	0.044162
rightness	0.0441426
dimension	0.0440782
evocation	0.0439929
weakness	0.043988
inclination	0.0439208
glitz	0.0438728
resurgence	0.0437721
genius	0.0437456
skittishness	0.0436439
"Rolling Stone"	0.0433582
obsession	0.0433106
scent	0.0432977
wisdom	0.0432224
notoriety	0.0431217
frustration	0.0431107
anxiety	0.0431029
ethos	0.0430081
aroma	0.0429874
phenomenon	0.0428878
instinct	0.0428631
gloss	0.0428078
sweetness	0.0427004
glory	0.0426991
individuality	0.042697
emotion	0.0426264
severity	0.0425939
Panache	0.0425932
ambivalence	0.0424804
lifestyle	0.042313
appetite	0.0422686
dignity	0.0422615
trait	0.0422363
legacy	0.0422145
artistry	0.0421956
rigor	0.0421581
distinction	0.0421327
imagery	0.0421081
odor	0.0420166
aesthetic	0.0419579
nervousness	0.0418651
"New Republic"	0.0418309
bazaar	0.0416583
illusion	0.0416521
impulse	0.0415566
diversity	0.0414975
luxury	0.0414841
ambiance	0.0414532
exuberance	0.0412981
characteristic	0.0412744
credibility	0.0412609
knack	0.0412021
reverence	0.0410256
dynamism	0.0408939
flair	0.0407679
reluctance	0.0406411
mood	0.0405732
gravity	0.0405263
bitterness	0.0405247
weirdness	0.0404451
calculus	0.0404207
"Sports Illustrated"	0.0403429
conundrum	0.0403321
shortcoming	0.0403265
synergy	0.0402576
joy	0.0402158
disenchantment	0.0401967
peculiarity	0.0401164
consolation	0.0400707
philosophy	0.040058
))
(allusion (desc 15921.7) (sims
reference	0.149363
pun	0.0808035
counterpoint	0.0729565
homage	0.0696259
irony	0.0674652
symbolism	0.0667424
footnote	0.0646647
in-jokes	0.0639407
"sight gag"	0.0638343
nod	0.0628027
analogy	0.0618668
"first exposure"	0.0594187
imagery	0.058977
quotation	0.0577107
comparison	0.0575203
metaphor	0.057479
contrast	0.056742
anecdote	0.0561003
twist	0.0548629
asides	0.054833
similarity	0.0546633
one-liner	0.0541514
clue	0.0539914
tribute	0.051516
humor	0.050766
parallel	0.0501539
phrase	0.0500382
gag	0.0494301
swipe	0.0489642
wink	0.0484485
conceit	0.0483862
contradiction	0.0482648
overtone	0.0480493
resemblance	0.0469199
idiom	0.046513
aversion	0.0460996
satire	0.0459928
subtext	0.0456527
description	0.0451344
gesture	0.0447005
insult	0.0446735
epilogue	0.044654
antidote	0.0441955
jibe	0.043973
wit	0.0436841
credence	0.0435481
overreaction	0.0435288
testament	0.0433596
profanity	0.0431558
meaning	0.042934
vulgarity	0.0427301
recollection	0.0426816
rhyme	0.0426019
nudity	0.0424305
reminder	0.0422155
observation	0.0420189
wordplay	0.0418018
commentary	0.0417198
utterance	0.0416175
Allegory	0.0412942
resonance	0.0412664
relevance	0.0412455
cliche	0.0410956
drawback	0.0408358
poignancy	0.0407908
parable	0.0403008
subplot	0.0402285
symmetry	0.0400852
))
(ally (desc 130245) (sims
supporter	0.189733
backer	0.151896
leader	0.143942
partner	0.138206
foe	0.134259
neighbor	0.134023
lawmaker	0.132695
member	0.132299
party	0.130868
enemy	0.130553
Republican	0.129641
government	0.129572
conservative	0.129569
Democrat	0.126638
force	0.125724
rival	0.122646
politician	0.121144
loyalist	0.120957
opponent	0.120495
nation	0.119036
"trading partner"	0.118069
opposition	0.117622
faction	0.117498
adversary	0.117147
aide	0.113427
country	0.1127
legislator	0.111812
friend	0.111342
Coalition	0.110951
critic	0.110392
hard-liner	0.109566
Alliance	0.10866
Communist	0.10755
"political party"	0.107442
official	0.107132
colleague	0.106954
rebel	0.106495
group	0.106492
troop	0.106161
advocate	0.105703
militia	0.104777
administration	0.104653
environmentalist	0.104458
activist	0.104254
associate	0.103625
leadership	0.103422
NATO	0.102442
adviser	0.101234
military	0.100194
President	0.0996274
moderate	0.0995637
army	0.0980876
candidate	0.0980347
minister	0.0979197
authority	0.0976667
Serbs	0.0972795
Palestinian	0.0955762
soldier	0.0947464
"political leader"	0.0935348
liberal	0.0934298
hardliner	0.092799
senator	0.0926652
commander	0.0917308
"council member"	0.0914347
bloc	0.0913401
Israeli	0.0912481
regime	0.0910281
representative	0.0908391
donor	0.0905724
guerrilla	0.0904353
state	0.0902658
confidant	0.090249
nationalist	0.0900938
people	0.0897882
follower	0.0888493
Israel	0.0887795
"United States"	0.0877038
organization	0.0874634
community	0.0867491
Syria	0.086653
militant	0.0865795
Arab	0.0864501
support	0.0863737
"armed forces"	0.0859842
voter	0.0852546
investor	0.0851219
regulator	0.0846392
Congress	0.0841225
socialist	0.0840051
citizen	0.0837514
congressmen	0.0836482
extremist	0.0835326
"foreign minister"	0.0834376
"nuclear power"	0.0833943
"cabinet minister"	0.0832375
reformer	0.082819
Milosevic	0.0828085
diplomat	0.0825321
Governor	0.0821048
Taliban	0.0820994
negotiator	0.0817064
reformist	0.0816363
sponsor	0.0814933
majority	0.0813654
terrorist	0.0811605
Russia	0.0810502
fighter	0.0807259
unionist	0.0805981
"European country"	0.0802637
Russian	0.0795248
"labor union"	0.0788413
union	0.0787699
ruler	0.0786253
"business community"	0.0785566
Iran	0.0784124
dissident	0.0782624
"oil producer"	0.0781656
Mayor	0.078101
appointee	0.0780334
police	0.0777812
minority	0.077469
deputy	0.0773324
Albanian	0.0773073
mediator	0.077213
relative	0.0769347
Clinton	0.076828
others	0.0767715
constituent	0.0767036
prosecutor	0.0766144
"Social Democrats"	0.0763457
lawyer	0.076236
exporter	0.0761349
American	0.0760679
crony	0.0760551
superpower	0.075965
British	0.0758539
backing	0.075722
"interest group"	0.0757174
those	0.0756298
"business leader"	0.0754356
resident	0.0752578
envoy	0.0752538
power	0.0750515
Speaker	0.0748113
Iraq	0.0746293
scientist	0.0745989
leftist	0.0745941
delegate	0.0745034
"security force"	0.0744515
businessmen	0.0742883
"United Nations"	0.0742661
counterpart	0.0740483
Barak	0.0739842
observer	0.0739101
sympathizer	0.0736783
Catholic	0.0732647
"military leader"	0.073231
Kabila	0.0729661
Pakistan	0.0728731
lobbyist	0.0728609
U.S.	0.0726631
separatist	0.0725549
doctor	0.0725236
"elected official"	0.0724756
employer	0.0724389
militiamen	0.0723931
client	0.0721635
strategist	0.0720596
contributor	0.0720389
"family member"	0.0718699
"power broker"	0.0718524
owner	0.0717441
Netanyahu	0.0716952
family	0.0715967
producer	0.0715829
"military officer"	0.0714606
challenger	0.0713761
farmer	0.0712978
"National Rifle Association"	0.0712193
General	0.0709815
MP	0.070957
company	0.0709423
expert	0.0708786
"trade union"	0.0707769
Jew	0.0707086
supplier	0.0702545
participant	0.0702496
officer	0.0701878
Bush	0.0701507
parent	0.0700046
"military force"	0.0699673
"federal government"	0.0699019
Yeltsin	0.0698882
Turkey	0.0698733
public	0.0697897
"European Union"	0.0697854
"African country"	0.0696595
cleric	0.0695155
competitor	0.0695076
christian	0.0694675
))
("Ally McBeal" (desc 18109.3) (sims
Frasier	0.190082
"Law &AMP; Order"	0.177999
"NYPD Blue"	0.17577
E.R	0.173543
"Everybody Loves Raymond"	0.161633
er	0.159826
X-Files	0.158134
Seinfeld	0.158105
"Chicago Hope"	0.158098
"Melrose Place"	0.154894
"Home Improvement"	0.154476
Futurama	0.150619
"Spin City"	0.149688
Buffy	0.146578
"South Park"	0.145812
Simpsons	0.143205
Felicity	0.142672
"Will &AMP; Grace"	0.13617
Malcolm	0.128276
"Murphy Brown"	0.127299
"Star Trek"	0.127235
"Sports Night"	0.125645
"West Wing"	0.118618
Moesha	0.11661
Roseanne	0.116243
"Family Guy"	0.115851
sitcom	0.104587
Baywatch	0.101946
snoop	0.0992252
"Third Watch"	0.0966962
Dharma	0.0963753
"Who Wants"	0.0947216
Dilbert	0.0940518
"Suddenly Susan"	0.0923182
"Get Real"	0.0912581
soprano	0.090416
"The Sopranos"	0.089374
"Drew Carey Show"	0.0863891
"Night Live"	0.0858366
"Big Brother"	0.0851402
Teletubbies	0.0834775
"Beverly Hills"	0.0834436
"Vampire Slayer"	0.0828702
"Jerry Springer"	0.08262
"Sesame Street"	0.0822578
"Politically Incorrect"	0.0813919
"Nash Bridges"	0.07945
Xena	0.0780386
Cosby	0.0773636
"Twin Peaks"	0.0764253
"television show"	0.0758537
"Cosby Show"	0.0756221
"Harsh Realm"	0.0755219
"picket fence"	0.0736155
"Larry Sanders Show"	0.0730947
drama	0.0723846
"Brady Bunch"	0.0723151
Rugrats	0.0692915
"Dateline NBC"	0.0686605
comedy	0.0675439
Dawson	0.0673555
Costello	0.0671163
"TV show"	0.0654555
"television program"	0.0650815
Titus	0.0644079
"Twilight Zone"	0.0643451
"game show"	0.0641756
Sabrina	0.0636676
"Jerry Springer Show"	0.0634127
"Dharma &AMP; Greg"	0.0626736
"situation comedy"	0.0618508
jag	0.0611968
"soap opera"	0.0603307
"Home Run Derby"	0.0602638
"Love Boat"	0.0596285
"talk show"	0.0591969
newscast	0.0590031
SportsCenter	0.0588517
Cupid	0.0585615
"Blair Witch"	0.058548
"American Beauty"	0.0583558
"news program"	0.0580714
Fox	0.0579809
Providence	0.0577956
Creek	0.0576535
"TV program"	0.0576319
episode	0.0573113
"Star Wars"	0.0571172
Hughleys	0.056862
NBC	0.0568133
"Texas ranger"	0.0566941
ABC	0.0562954
Shakespeare	0.0557932
"Fight Club"	0.0555897
newsmagazines	0.0554019
"news show"	0.0549693
"martial law"	0.0549144
HBO	0.0549085
cartoon	0.0546162
ragtime	0.0541581
"Steven Bochco"	0.0540485
"Night Football"	0.0539751
"Good Morning America"	0.0527288
"Who Wants to Be a Millionaire"	0.0521058
Telecast	0.0520786
Titanic	0.0520636
UPN	0.0519513
Nightline	0.0517986
"Inspector Gadget"	0.0517531
"Blair Witch Project"	0.0517103
Oprah	0.0516379
miniseries	0.0516253
"talking head"	0.0515846
"variety show"	0.0512885
CBs	0.051112
X-MEN	0.0510287
lassie	0.0508488
"American Pie"	0.0508282
rerun	0.0504389
Barney	0.0502898
survivor	0.0502455
WB	0.0500478
Ellen	0.0498054
Jesse	0.0496992
"hard copy"	0.0496953
freak	0.0495803
"David E. Kelley"	0.0492954
"Austin Powers"	0.0491255
"Howdy Doody"	0.0483124
homicide	0.0480189
frontline	0.047712
millionaire	0.0476038
NOVA	0.0475876
actress	0.0470253
"Saving Private Ryan"	0.0467632
Dateline	0.0467542
serial	0.046045
dragnet	0.0457012
Nickelodeon	0.0455166
"Comedy Central"	0.0450529
"Keri Russell"	0.0447043
angel	0.0447032
"Late Show"	0.044647
"Patch Adams"	0.0446245
"Drew Carey"	0.0445672
newsmagazine	0.0442708
Oz	0.044036
wonderland	0.0437842
Dolittle	0.0436726
"prime time"	0.0436488
"Life Is Beautiful"	0.0434448
"Harry Potter"	0.0433388
Pokemon	0.0431421
"King Kong"	0.0429248
"Double Jeopardy"	0.0426825
"Jim Carrey"	0.0426307
"Lion King"	0.0425796
"Early Show"	0.0424896
"Toy Story"	0.0423302
C-Span	0.0421371
"Wonderful World"	0.0419184
Voyager	0.0417359
"chicken run"	0.0417192
Superman	0.0416145
programming	0.0415406
Becker	0.0414335
Roswell	0.0412777
Cop	0.0412525
Batman	0.0412428
"Truman Show"	0.0411024
"television news"	0.0410963
documentary	0.0410843
"Smoke Signals"	0.0410623
"West Side Story"	0.040907
Pleasantville	0.0408747
"Helen Hunt"	0.0408444
"comic strip"	0.0406827
"James Bond"	0.0405735
"Peter Pan"	0.0403642
))
("Ally Sheedy" (desc 1529.34) (sims
"Edward Furlong"	0.13564
"Emily Watson"	0.0978523
"Sidney Poitier"	0.0958399
"Dame Judi Dench"	0.0931602
"Ethan Hawke"	0.0924555
"Martin Sheen"	0.0909303
"Helen Mirren"	0.0901953
"Sela Ward"	0.0891661
"Joseph Fiennes"	0.0852759
"Matthew McConaughey"	0.0840885
"Brenda Blethyn"	0.0804131
"Bernadette Peters"	0.0795061
"Uma Thurman"	0.0778817
"Norm MacDonald"	0.0771538
"Alicia Silverstone"	0.0767552
"Chow Yun-Fat"	0.075044
"Demi Moore"	0.074364
"Kirk Douglas"	0.0741515
"Kathleen Turner"	0.0738022
"Ed Harris"	0.0736725
"Samuel L. Jackson"	0.0732625
"Russell Crowe"	0.0731199
"Richard Dreyfuss"	0.0730876
"Hilary Swank"	0.0727
"Johnny Depp"	0.072386
"Catherine Deneuve"	0.0718916
RuPaul	0.07115
Sealy	0.070891
"Robert DeNiro"	0.0708082
"Jessica Lange"	0.0696906
"Anne Heche"	0.0696292
"John Cleese"	0.0695614
"Gregory Peck"	0.0690923
"Geoffrey Rush"	0.0689367
"Heather Graham"	0.0689181
"Keanu Reeves"	0.0688848
"Henry Fonda"	0.0684057
"Bill Pullman"	0.0682078
"Jeremy Northam"	0.067617
"James Van Der Beek"	0.0675157
"William Hurt"	0.0675056
"Ashley Judd"	0.0672411
"John Lithgow"	0.0664979
"Angelina Jolie"	0.066455
"Martin Lawrence"	0.0662064
"Sally Field"	0.0660796
"James Earl Jones"	0.0651952
"Jeremy Irons"	0.0650174
"Jack Lemmon"	0.0649016
"Wesley Snipes"	0.0642188
"Vanessa Redgrave"	0.0641705
"Anthony Hopkins"	0.0636549
"Jodie Foster"	0.0636084
"Ian Holm"	0.0635892
"Kate Winslet"	0.0631836
"PHILIP SEYMOUR HOFFMAN"	0.0630158
"Kevin Bacon"	0.0627633
"Pierce Brosnan"	0.0625078
"John Taylor"	0.062385
"James Cagney"	0.0623355
"Jon Voight"	0.0622979
"Jamie Foxx"	0.0620955
"Angela Bassett"	0.0614109
"Kathy Bates"	0.0614094
"Burt Lancaster"	0.0613463
Cleese	0.0610762
Braugher	0.0607564
"Tracey Ullman"	0.0605937
"Natalie Portman"	0.0604111
"Kim Basinger"	0.060407
"Rupert Everett"	0.0601914
"Chris Klein"	0.0595941
"Joan Allen"	0.0595623
"Ian McKellen"	0.0591207
"Juliette Lewis"	0.0589465
"Gwyneth Paltrow"	0.058816
"Judi Dench"	0.0585965
"Vivien Leigh"	0.0583902
"Richard Gere"	0.0582769
"Val Kilmer"	0.0581875
"Julie Andrews"	0.0580395
Costner	0.0579748
"Rob Lowe"	0.0577218
"Mel Gibson"	0.0577002
"Van Dyke"	0.0576945
"Meryl Streep"	0.0576446
"Minnie Driver"	0.0574074
"Sarah Jessica Parker"	0.0574009
"Ellen Burstyn"	0.0569307
"Holly Hunter"	0.0567577
"Andre Braugher"	0.0567466
"Nicole Kidman"	0.0567442
"Bette Davis"	0.0567005
"Jason Alexander"	0.0566131
"JOHN TURTURRO"	0.0561706
swank	0.0561352
"Brad Pitt"	0.055806
"Famke Janssen"	0.0557471
"Kirsten Dunst"	0.0554898
Tucci	0.0554537
"New York City Opera"	0.0553056
"Leelee Sobieski"	0.0552173
"Janet McTeer"	0.0552063
"Gene Kelly"	0.0548353
"Natasha Richardson"	0.0543307
"Albert Brooks"	0.0540389
"Cate Blanchett"	0.0539614
"Sandra Bullock"	0.0539149
EX-COMMUNISTS	0.0538207
"Spencer Tracy"	0.053733
"Claire Danes"	0.0535004
"Halle Berry"	0.0534933
"John Leguizamo"	0.0532939
"Patrick Stewart"	0.0532165
"Edward Norton"	0.0531916
"Chevy Chase"	0.0531427
"Kevin Spacey"	0.0529868
"Sigourney Weaver"	0.052866
"Richard Burton"	0.0527589
"Antonio Banderas"	0.0526806
"Ewan McGregor"	0.0524548
"David Spade"	0.0521543
"Kelsey Grammer"	0.0521539
"Brian Dennehy"	0.0519944
"Christian Bale"	0.051687
"Garry Shandling"	0.0515291
"Nigel Hawthorne"	0.0514252
"Carol Burnett"	0.0511885
"Jimmy Stewart"	0.0511496
"John Belushi"	0.0509677
"Bridget Fonda"	0.0509195
"Robert de Niro"	0.0509186
"Tom Selleck"	0.0508334
"Liza Minnelli"	0.0507335
Kingsley	0.0507158
"Kevin Costner"	0.0507135
"Tom Cruise"	0.0506094
"Sean Penn"	0.0505648
"Brooke Shields"	0.0505598
"Gene Hackman"	0.0505321
"Gabriel Byrne"	0.0504365
"Jackie Chan"	0.0503898
"Aidan Quinn"	0.0503785
"Dan Hedaya"	0.0503427
"John Goodman"	0.0502739
Chinese-Indonesians	0.0502138
"Jennifer Love Hewitt"	0.0502051
"Nathan Lane"	0.0502014
"Renee Fleming"	0.050195
"Geena Davis"	0.0501434
"Bill Murray"	0.0500485
"Brendan Fraser"	0.0500031
"Mandy Patinkin"	0.0499087
"Stephen Rea"	0.0497077
"Gary Cooper"	0.0493316
"Liam Neeson"	0.0492585
Broderick	0.0490668
"James Woods"	0.0490623
"Harvey Keitel"	0.0488977
Ruehe	0.0488141
GERE	0.0486423
"Jim Carrey"	0.0486175
"Ryan Phillippe"	0.0486045
"Matthew Broderick"	0.0485016
"Michael Caine"	0.0483608
"Jay Mohr"	0.0483014
"Matthew Perry"	0.0482422
"Christina Ricci"	0.0482249
"Van Halen"	0.0478998
"Diane Keaton"	0.0478709
"Roberto Benigni"	0.0478098
"Christopher Reeve"	0.0477082
gonzo	0.0476085
"Stanley Tucci"	0.0475445
"Billy Crudup"	0.0474777
"Denzel Washington"	0.0474636
"Robert Duvall"	0.0474027
"Eddie Murphy"	0.0473748
"Alec Baldwin"	0.0473585
"Sean Connery"	0.047252
"Jon Stewart"	0.0471658
"Marlene Dietrich"	0.0471627
"Faye Dunaway"	0.0470388
"Joan Crawford"	0.0470004
"Annette Bening"	0.0468878
"Walter Matthau"	0.0467288
"Jane Fonda"	0.0466702
"Winona Ryder"	0.0466276
"Diana Ross"	0.0466096
"Reese Witherspoon"	0.0465545
"Glenn Close"	0.0465262
"Meg Ryan"	0.0464763
"Humphrey Bogart"	0.0464744
"John Cusack"	0.0462497
"Robert Downey Jr."	0.0460758
"Placido Domingo"	0.0460576
Masire	0.0458208
"Ted Danson"	0.0458038
"Taye Diggs"	0.0457878
"Lana Turner"	0.0457557
))
(Alma (desc 2452.48) (sims
"Azizah Ismail"	0.106035
"Estados Unidos"	0.0975196
alicia	0.0904528
Sheryl	0.0852378
Cherie	0.085197
Irina	0.0842639
Eileen	0.0839445
Maureen	0.0823174
Juanita	0.0817797
Janet	0.0812608
Tracey	0.0800003
Dolores	0.0798274
Terri	0.0790978
Kristin	0.0751058
Evelyn	0.0750674
Mundo	0.0749969
JoAnne	0.074627
Teresa	0.0744092
Edith	0.0742398
"Wang Yeping"	0.0738525
Doris	0.0736007
Meg	0.0726865
Brenda	0.0724422
Suzanne	0.0723665
Brasil	0.0716279
Rosario	0.0708462
Kathy	0.0700896
Sonia	0.0692509
Marianne	0.0692276
Monique	0.0683521
Frances	0.0682337
Cathy	0.0681424
Sandra	0.0672202
Leah	0.0664541
Pam	0.065806
Hadassah	0.0651065
fue	0.0647534
Lucia	0.0647189
Sara	0.0646467
Elaine	0.0643591
"Graca Machel"	0.06423
"Carmen Electra"	0.064043
Kathryn	0.0639867
Connie	0.0635771
Marta	0.0633523
"Winnie Madikizela-Mandela"	0.0630887
Millie	0.062784
Esther	0.0627427
Michelle	0.062737
Patricia	0.0625427
Debra	0.0624043
Lynne	0.0621528
Kimberly	0.061966
Norma	0.061729
Andrea	0.0614788
Camille	0.0614097
Jacqueline	0.0610889
Olga	0.0609905
Carolyn	0.0609853
Hage	0.0607504
Cheryl	0.0607473
Alexandra	0.0606121
Tina	0.0605434
Stephanie	0.0605089
Debbie	0.0604072
"Jane Fonda"	0.0600517
Mona	0.0600331
se	0.0599449
"Boston Harbor"	0.0599002
Gina	0.0595509
Melanie	0.0592698
Beverly	0.0592294
Nina	0.0590152
Audrey	0.0589616
Winnie	0.0586466
"Carolyn Bessette Kennedy"	0.0586015
gloria	0.0583144
Lori	0.0581994
Beth	0.0578918
becky	0.0576005
Jules	0.0574645
Valerie	0.0572542
Lois	0.0572524
Phyllis	0.057035
Christine	0.0569768
Anita	0.0568975
Karenna	0.0567621
Nada	0.0565553
que	0.0564462
Kathleen	0.0561902
Paula	0.0559628
Maria	0.0559582
Stacy	0.0559006
AUM	0.0556056
Lucille	0.0555447
Elena	0.0554492
Laurie	0.0554307
Marion	0.0553115
Annie	0.0552664
Rita	0.0551137
Susan	0.0549962
Rhonda	0.0548089
Claudia	0.0546074
espanol	0.0544822
Jill	0.0543961
hazel	0.0542643
Puente	0.054212
Cindy	0.0541695
Linda	0.0541078
Karen	0.0540905
Donna	0.0539592
Judy	0.0539443
Michele	0.0536581
Diane	0.0535528
Mi	0.0532903
Dorothy	0.0532381
Vera	0.0532351
LOS	0.0528909
Helen	0.0527731
Liz	0.0526148
"Leigh Ann"	0.0525647
Peggy	0.0525245
Margaret	0.0523758
Louise	0.0523641
Denise	0.0523223
Barbara	0.0521979
Polly	0.0519715
Vicki	0.0519224
las	0.0515335
Caroline	0.051521
Brooke	0.0514508
Mercado	0.0511044
Julio	0.0510518
Theresa	0.050801
casa	0.0507438
Jeanne	0.050481
Rachel	0.0501152
Anne	0.0499696
colleen	0.0499505
"Yoko Ono"	0.0498367
Kay	0.0493695
Alison	0.0493321
Eleanor	0.0492645
Marian	0.0492159
Lauren	0.0491416
Fran	0.0490775
Nicole	0.0489199
SAL	0.0488307
Judith	0.0486447
Billie	0.0484399
Yarmila	0.0481315
Wanda	0.047881
Amy	0.0477363
Thelma	0.0476054
Erica	0.0474123
Colette	0.0474065
Sylvia	0.0473889
Julia	0.046784
Miriam	0.0467572
Madeline	0.0465924
Julie	0.0464903
Rebecca	0.0464426
Marie	0.0464379
EPR	0.0461151
Carrera	0.0460613
Lynn	0.0460465
Meredith	0.0460404
"Abidine Ben Ali"	0.0457733
GIA	0.0457066
Marcia	0.0456512
Tipper	0.0455872
Rosa	0.0454603
Patti	0.0452933
Jennifer	0.0452909
ISABEL	0.0451994
Clare	0.0450892
Occidental	0.0448495
Shirley	0.0447431
"Queen Noor"	0.044723
Como	0.0446088
Josephine	0.044572
Marilyn	0.0445122
Betty	0.0443455
Claire	0.0443232
Dana	0.0442974
patsy	0.0440158
Lydia	0.0439974
Lyn	0.0439938
Nancy	0.043673
Grande	0.04343
Roberta	0.0433477
Leigh	0.0432387
Para	0.043006
"fire ant"	0.0429061
Sophie	0.0429028
Zoe	0.0428807
Sally	0.0427699
Bruijn	0.0427087
dia	0.0426615
Eurasia	0.0426321
))
("ALMA ATA" (desc 2336.5) (sims
Alma-Ata	0.387228
"Ulan Bator"	0.223241
Almaty	0.198276
Astana	0.157416
Bishkek	0.147989
"KUWAIT CITY"	0.147917
MONTEVIDEO	0.146374
BRASILIA	0.139213
Valletta	0.138692
BUCHAREST	0.137746
MAPUTO	0.136443
Yinchuan	0.133666
Haikou	0.132568
ATA	0.131576
Managua	0.131333
"Abu Dhabi"	0.131049
KIEV	0.128776
Quito	0.127767
HANOI	0.125272
Ashkhabad	0.123488
Nanning	0.122295
Santiago	0.1211
Vilnius	0.120507
Changsha	0.119602
Vientiane	0.11899
Kuching	0.117945
SANAA	0.116101
Rabat	0.114608
Tallinn	0.112571
CARACAS	0.110811
Xining	0.110284
HARARE	0.109574
COLOMBO	0.108767
Riyadh	0.108275
Cartagena	0.108101
Yaounde	0.107607
"SANTA FE DE BOGOTA"	0.10564
YANGON	0.105382
Tashkent	0.10464
Kunming	0.104573
SOFIA	0.104479
SEOUL	0.104402
Islamabad	0.103836
Dushanbe	0.103677
"Kuala Lumpur"	0.103337
KAMPALA	0.102893
TEGUCIGALPA	0.102407
Windhoek	0.10202
"CHIANG MAI"	0.101839
Luoyang	0.100924
"Addis Ababa"	0.100675
Wellington	0.100576
XI'AN	0.100564
Jinan	0.100468
Urumqi	0.0999748
Bamako	0.0997927
Asuncion	0.099745
Prague	0.0995627
TUNIS	0.0980918
"Bandar Seri Begawan"	0.0975845
Hefei	0.0971234
Lusaka	0.0969214
Beidaihe	0.0962051
Shenyang	0.0961293
BLANTYRE	0.0961063
Hohhot	0.0955174
Doha	0.0954629
Manila	0.0945608
BRATISLAVA	0.0945457
NICOSIA	0.0942542
Guiyang	0.0927256
Helsinki	0.0922891
ANKARA	0.0921859
Muscat	0.0921529
Chisinau	0.0917395
HUHHOT	0.0916723
CHENGDU	0.0912366
Tehran	0.0912355
Tbilisi	0.0911761
Nanchang	0.0910047
Gaborone	0.0907744
Ouagadougou	0.0906161
"San Salvador"	0.0905912
Guangzhou	0.0904109
Kandy	0.0898599
Mbabane	0.0897692
"Egyptian capital"	0.0893192
JOHANNESBURG	0.0892648
Luanda	0.0890054
Vladikavkaz	0.088676
Ottawa	0.088332
Kyoto	0.0876771
Kathmandu	0.0873955
DHAKA	0.0873412
"Panama City"	0.0872025
Amman	0.0871472
BOGOTA	0.0868018
Zhengzhou	0.0857923
Peshawar	0.0850717
Lagos	0.0849906
Harbin	0.0848529
BUDAPEST	0.084796
Christchurch	0.0847407
Sapporo	0.0845922
Pretoria	0.0845379
"New Delhi"	0.083712
"Rio de Janeiro"	0.0835296
Canberra	0.083441
Bonn	0.0830538
NANJING	0.0825653
Lima	0.0820174
Baikonur	0.0811005
"Phnom Penh"	0.0810399
"La Paz"	0.0808049
Lhasa	0.0807816
TIRANA	0.0802418
Yerevan	0.0801671
Shantou	0.0801018
ZAGREB	0.079919
CHANGCHUN	0.0798786
"Buenos Aires"	0.0797458
Cebu	0.0797077
Hangzhou	0.079102
BRUSSELS	0.078403
Riga	0.0782798
LISBON	0.0780745
Basle	0.0780007
Havana	0.0778372
Ljubljana	0.0769122
Maldives	0.0765946
Zhuhai	0.0755431
Wuhan	0.0747993
"Dar es Salaam"	0.0740508
Algiers	0.0738432
Aqaba	0.0738173
Damascus	0.073575
Yichang	0.0734418
MANAMA	0.0733826
WARSAW	0.0733812
Beirut	0.0732577
Durban	0.0730014
Suva	0.0728654
Minsk	0.0727648
STOCKHOLM	0.0727545
Shijiazhuang	0.0724065
PYONGYANG	0.0723178
Weihai	0.0719951
Fuzhou	0.0719228
Manado	0.0718822
"Santo Domingo"	0.071309
Auckland	0.0710841
Bulawayo	0.0710222
Lanzhou	0.0709453
"Nigerian capital"	0.0708812
"Kyoto Protocol"	0.0707195
"Port Moresby"	0.070543
Khartoum	0.0704883
Krasnoyarsk	0.0702736
"Guatemala City"	0.0698487
Makhachkala	0.0698084
Geneva	0.0696307
Subic	0.0694939
"Siem Reap"	0.0691096
Salzburg	0.0687363
Xiamen	0.0684558
Cardiff	0.0683398
Davos	0.0683251
Bern	0.0678649
Guilin	0.0674241
Taba	0.0671429
"Iranian capital"	0.0671047
Yantai	0.06649
Oslo	0.0664242
Lome	0.0662801
Lucerne	0.0651649
Bangui	0.0650792
Maseru	0.0646747
"Malaysian capital"	0.0642647
Maastricht	0.0640639
Brazzaville	0.0638136
Srinagar	0.063737
Palma	0.0636425
Kisumu	0.0633925
Tapachula	0.0631847
Dalian	0.0630547
"Quebec City"	0.0630437
Kupang	0.0630206
Sirte	0.0629612
Sarajevo	0.0626675
Eilat	0.0626321
Honiara	0.0624004
Klagenfurt	0.0622832
Abidjan	0.0621834
Antalya	0.0617135
Libreville	0.0612414
"SANTAFE DE BOGOTA"	0.0607833
"Banja Luka"	0.0606236
Merida	0.060597
Kigali	0.0604671
Cochabamba	0.060394
))
("alma mater" (desc 15169.5) (sims
"air force academy"	0.0929771
Harvard	0.0837049
"University of Southern California"	0.0816253
"University of Virginia"	0.0810939
Yale	0.0791053
"University of Texas"	0.0782757
northeastern	0.0772181
"Southern Methodist University"	0.0769943
"Harvard Business School"	0.0757688
"Beijing University"	0.0746743
"University of Mississippi"	0.0717278
"University of Maryland"	0.0716985
"University of Chicago"	0.0709642
"U.S. Naval Academy"	0.0708744
"Massachusetts Institute of Technology"	0.0706289
"New York University"	0.0700607
"University of Utah"	0.0691283
"Georgia Tech"	0.0687851
MIT	0.0686449
"University of Minnesota"	0.0685171
Princeton	0.0682844
"University of Georgia"	0.0681668
Cornell	0.0671643
"University of Massachusetts"	0.0662365
"Williams College"	0.0657156
"Columbia University"	0.0653593
"Northwestern University"	0.0644622
"Nevada-Las Vegas"	0.0643028
"Stanford University"	0.064203
"University of Houston"	0.0636893
"Yale Law School"	0.0636664
"Syracuse University"	0.0636312
"Indiana University"	0.0633509
"University of Florida"	0.0632788
"University of Kansas"	0.0631685
"University of Miami"	0.0629851
"Brown University"	0.0628613
"Harvard Law School"	0.0626181
Stanford	0.0620649
"Qinghua University"	0.0611534
"community college"	0.0609549
"Yale university"	0.0609388
"Dartmouth College"	0.0606553
"Boston University"	0.0604517
"Boston College"	0.0604126
"University of Michigan"	0.0601169
"University of Missouri"	0.0594859
Juilliard	0.0593205
"Brigham Young University"	0.0592393
"University of Colorado"	0.0590481
"University of Illinois"	0.0589503
"University of California"	0.0588219
"Georgetown University"	0.0586302
"University of North Carolina"	0.0582954
"Oxford University"	0.0576019
"Howard University"	0.0575794
"Juilliard School"	0.057412
"West Point"	0.0572856
UCLA	0.0567921
"Hofstra University"	0.0564577
northwestern	0.0560931
"Northeastern University"	0.0559711
"University of Notre Dame"	0.0558928
"University of Connecticut"	0.0558733
Lehigh	0.0557677
"University of Wisconsin"	0.0555215
"Harvard University"	0.0551791
"University of South Carolina"	0.0550187
"University of Hong Kong"	0.0549188
"Princeton University"	0.0548441
"American University"	0.0543541
"Holy Cross"	0.0542319
"Duke University"	0.0542269
"law school"	0.0540385
Oxford	0.0540136
"Nankai University"	0.053967
"Fordham University"	0.053822
conservatory	0.0536468
"Notre Dame"	0.053382
"California State University"	0.0533341
USC	0.0531334
"Iowa State University"	0.0527181
"State University of New York"	0.05267
Vanderbilt	0.0524081
"military academy"	0.0523165
UNLV	0.0521638
SMU	0.0520475
"naval academy"	0.0517496
"Ohio State University"	0.0514957
"business school"	0.0505199
Baylor	0.0504507
"London School of Economics"	0.0502808
seminary	0.0499797
Dartmouth	0.0498903
"Harvard College"	0.0492972
"medical school"	0.0492934
"private school"	0.0491532
"University of Washington"	0.0488006
"Amherst College"	0.0487309
academy	0.0486622
"University of Tennessee"	0.0484552
"University of Arizona"	0.0483773
"Seton Hall"	0.0483492
"George Washington University"	0.0481953
"Oklahoma State"	0.0480775
"Texas Tech"	0.0476713
"University of New Mexico"	0.0474927
"Catholic school"	0.0473447
LSU	0.0472236
Rutgers	0.0469216
"Washington State"	0.0468729
"Southern Cal"	0.0467095
"Texas Christian University"	0.0466687
"Arizona State"	0.0465329
TCU	0.0461585
"San Diego State"	0.045692
"Michigan State University"	0.0456372
Tulane	0.0455745
Fordham	0.0455229
"Fudan University"	0.0455147
BYU	0.045457
"Bob Jones University"	0.0453633
"Penn State"	0.045338
"City College"	0.0452095
"Kansas State"	0.0451642
"Rutgers University"	0.0449259
"University of Nebraska"	0.0446566
"University of Iowa"	0.0445106
"Long Beach State"	0.0444914
"Trinity College"	0.044432
Cal	0.0442719
"prep school"	0.0441723
Pepperdine	0.0441368
Auburn	0.0440558
"Cornell University"	0.0440378
UT	0.0439268
Wesleyan	0.043781
NYU	0.0435083
"Arizona State University"	0.0431918
"Emory University"	0.0430913
"Ohio State"	0.0427532
"Oregon State"	0.0426531
"middle school"	0.0426288
"junior college"	0.0424961
CSUN	0.0423264
"Fresno State"	0.0420723
"North Carolina State"	0.0418254
"Museum of Fine Arts"	0.0413286
"University of Alabama"	0.0409095
"Polo Grounds"	0.0408838
"senate campaign"	0.0408688
Bu	0.0404925
"school of music"	0.0404016
charity	0.0403938
tech	0.0403585
"Cal State Northridge"	0.040337
"University of New Hampshire"	0.0402889
"Iowa State"	0.0402335
"Brigham Young"	0.0401832
"public school"	0.0400321
))
(Alma-Ata (desc 1845.92) (sims
"ALMA ATA"	0.387228
Almaty	0.200676
Astana	0.197033
Ashkhabad	0.182325
"Ulan Bator"	0.159155
Tashkent	0.142503
Bamako	0.142009
Vientiane	0.141615
BRASILIA	0.139949
MAPUTO	0.137768
Cartagena	0.135186
Managua	0.134531
Windhoek	0.133018
Dushanbe	0.13116
Kuching	0.130882
Bishkek	0.127629
MONTEVIDEO	0.127253
KIEV	0.126552
BUCHAREST	0.123049
Yaounde	0.122381
SOFIA	0.122135
Riyadh	0.121994
CARACAS	0.121949
Tallinn	0.11937
"Bandar Seri Begawan"	0.11921
"Egyptian capital"	0.11749
Gaborone	0.116698
"Abu Dhabi"	0.116386
TUNIS	0.113486
Tbilisi	0.113348
Manado	0.111985
Islamabad	0.111431
Quito	0.111223
"KUWAIT CITY"	0.11042
Vilnius	0.110299
Rabat	0.110038
"Addis Ababa"	0.109607
HANOI	0.109097
Muscat	0.107691
ATA	0.106453
Valletta	0.10612
Santiago	0.105588
Ljubljana	0.104991
Peshawar	0.104752
"Guatemala City"	0.10274
Algiers	0.102385
Mbabane	0.10208
YANGON	0.101932
Doha	0.101693
Yinchuan	0.100977
TIRANA	0.100961
Kunming	0.100953
Yerevan	0.0995505
Lusaka	0.0987297
Helsinki	0.0983683
Pretoria	0.0983672
NICOSIA	0.0976084
BLANTYRE	0.0972258
"SANTAFE DE BOGOTA"	0.0966321
Prague	0.0960036
Chisinau	0.0959867
Nanning	0.0955499
ANKARA	0.0955119
Beidaihe	0.0951179
Asuncion	0.0950039
"San Salvador"	0.0949135
Libreville	0.0943998
BRATISLAVA	0.0942319
Suva	0.0934536
SEOUL	0.092246
Changsha	0.0920895
Maseru	0.0917028
Christchurch	0.0915569
KAMPALA	0.0912557
Nanchang	0.091134
Vladikavkaz	0.0909952
"Port Moresby"	0.0909136
Kandy	0.0908041
Lome	0.0905819
MANAMA	0.0902956
TEGUCIGALPA	0.0902835
COLOMBO	0.0898589
Ouagadougou	0.0896008
SANAA	0.0884166
Hefei	0.0882933
BOGOTA	0.0862931
"Buenos Aires"	0.0861133
Basle	0.0859801
Damascus	0.0851114
"Kuala Lumpur"	0.0842234
Honiara	0.0842164
Tripoli	0.0841276
Accra	0.0833265
Urumqi	0.0832784
Amman	0.0829966
Haikou	0.0827988
Lima	0.0827016
Merida	0.0821692
Kigali	0.0819741
Srinagar	0.081296
CHENGDU	0.0811756
Yichang	0.0811319
Luanda	0.0811068
"Nigerian capital"	0.0809949
"Santo Domingo"	0.0809719
Wellington	0.0808741
DHAKA	0.0806316
Khartoum	0.0801732
Durban	0.0797136
Lucknow	0.0788411
Jalalabad	0.0785781
Kyoto	0.0784681
Sapporo	0.0784564
Auckland	0.0777611
STOCKHOLM	0.0776449
"Phnom Penh"	0.0775477
"Panama City"	0.0775404
PYONGYANG	0.0774578
Katmandu	0.0771765
Palma	0.0771343
Jayapura	0.0770143
Lhasa	0.0767521
ZAGREB	0.0764962
Minsk	0.0754759
Winnipeg	0.0754151
Sarajevo	0.0753118
XI'AN	0.0753067
Makhachkala	0.0749039
Guiyang	0.0744741
Hangzhou	0.0743231
Skopje	0.0741427
Salzburg	0.0740843
Zhengzhou	0.0738654
Sirte	0.0731217
Riga	0.0730405
Shijiazhuang	0.0725815
"La Paz"	0.0725504
Monrovia	0.0724816
Kupang	0.0720613
Lanzhou	0.0718649
Port-au-Prince	0.0718173
Xining	0.0716212
Harbin	0.0715882
Beira	0.0711755
Cebu	0.0710445
Jeddah	0.071031
"French capital"	0.0709443
Bangui	0.0708121
Dakar	0.0707783
Reykjavik	0.0706658
Weihai	0.0705063
WARSAW	0.0704344
Kathmandu	0.0699047
Jinan	0.0694407
Moroni	0.0691611
"PETALING JAYA"	0.0688011
Taloqan	0.0686678
Oslo	0.0686323
Krasnoyarsk	0.0682255
"Siem Reap"	0.068151
Baku	0.0675129
sanatorium	0.0674636
Bern	0.0670436
Bulawayo	0.066973
Bujumbura	0.0669216
Asmara	0.0667353
Bergen	0.066719
Quetta	0.0666848
Kyrgyzstan	0.0663301
Kismayu	0.0658892
Phuket	0.0657749
CHANGCHUN	0.0655851
Lucerne	0.0649241
Bangalore	0.0647496
Podgorica	0.0642237
Davos	0.0641451
"Banja Luka"	0.0638652
Hohhot	0.0637793
Subic	0.06341
Maldives	0.0633107
Abidjan	0.0631944
Wuhan	0.0629848
Murmansk	0.0628594
Canberra	0.0627557
PATNA	0.0627471
"Russian capital"	0.062562
PALERMO	0.0625239
Medan	0.0621907
Zhuhai	0.0619544
Baikonur	0.0615974
LISBON	0.0612678
Cardiff	0.0611773
Huambo	0.0607835
Ramallah	0.0604882
Kuito	0.0602796
Berne	0.0602387
Palembang	0.0601237
"Rio de Janeiro"	0.0600347
Lubumbashi	0.0599475
Kingston	0.0598698
))
(almanac (desc 5596.54) (sims
Encyclopedia	0.138457
"reference work"	0.12219
dictionary	0.104162
"New England Journal"	0.097039
Atlas	0.0944473
"Village Voice"	0.0921526
"Advertising Age"	0.0892365
"Consumer Reports"	0.0878868
yearbook	0.0870995
"New York Review"	0.0865777
"reference book"	0.0860336
handbook	0.0849513
"yellow pages"	0.0832985
guidebook	0.0814765
"New Straits Times"	0.0809691
"American Journal"	0.0799366
directory	0.0779866
"Washington Times"	0.0763823
"Le Figaro"	0.0760425
periodical	0.0751647
newsletter	0.0735066
pamphlet	0.0717888
OED	0.0710429
cookbook	0.0692974
thesaurus	0.0683836
JAMA	0.0683554
Lancet	0.0680953
"Weekly Standard"	0.0677833
"Financial Times"	0.0676804
"New York Observer"	0.0671926
"Philadelphia Inquirer"	0.0671588
"Koha Ditore"	0.0671478
Compendium	0.0669262
"International Herald Tribune"	0.0663465
journal	0.0658376
manual	0.0651816
"Detroit News"	0.0645673
"San Jose Mercury News"	0.0638437
annals	0.061066
"TV guide"	0.0606629
"St. Louis Post-Dispatch"	0.0605832
Esquire	0.0604016
"Wall Street Journal"	0.0598744
"Gallup Poll"	0.059736
"Guinness Book"	0.0595612
bulletin	0.0593573
booklet	0.059113
"Rolling Stone"	0.059036
diary	0.0589501
"Atlantic Monthly"	0.0589147
"USA TODAY"	0.0588715
textbook	0.0588409
tome	0.0586385
"Starr Report"	0.0570849
"telephone book"	0.0567412
"Chicago Tribune"	0.0566795
"New York Post"	0.056238
"magazine article"	0.0557239
"Daily Mail"	0.0555476
paperback	0.0555354
"New Republic"	0.0554465
"National Journal"	0.0553852
Newsweek	0.0551864
"Old Testament"	0.0551213
Granma	0.0548345
"Orange County Register"	0.0546296
"Le Monde"	0.0545031
"Business Week"	0.0541397
glossary	0.0536522
"Atlanta Constitution"	0.0534675
"San Francisco Chronicle"	0.0534544
"National Geographic"	0.0534286
Anthology	0.0532393
Haaretz	0.0526335
"Dallas Morning News"	0.0525463
"Warner Books"	0.0522245
calendar	0.052204
Digest	0.0520169
encyclical	0.0519992
Star-Ledger	0.051898
"Daily Telegraph"	0.0517976
"Los Angeles Times"	0.0516719
"Harry Potter"	0.0516263
workbook	0.0515895
"Miami Herald"	0.0510743
manuscript	0.0501255
"New York Daily News"	0.050047
Bible	0.0496933
"Free Press"	0.0494919
"best seller"	0.0494471
"New York Times Magazine"	0.0492907
"Atlanta Journal"	0.0490936
"prayer book"	0.0490384
HARDCOVER	0.0489167
"Sports Illustrated"	0.0488941
"vanity fair"	0.0480501
"Chronicle Books"	0.0480267
"roll call"	0.0479374
axiom	0.0477471
"Der Spiegel"	0.0477169
"Washington Post"	0.0476574
brochure	0.0475273
maxim	0.0471374
"Hartford Courant"	0.0469129
"Wear Daily"	0.0468467
autobiography	0.0468181
"National Enquirer"	0.0467797
obituary	0.0466302
"World Report"	0.0465298
"Satanic Verses"	0.046423
"literary work"	0.0461352
"Yediot Ahronot"	0.0457509
Doubleday	0.0456681
"scarlet letter"	0.0455364
"promotional material"	0.0455209
Enquirer	0.0454359
"Chicago Sun-Times"	0.0454249
"new edition"	0.0449102
"New York Herald Tribune"	0.0447445
"Entertainment Weekly"	0.0446734
"phone book"	0.0446112
Algonquin	0.0441145
"white paper"	0.0438541
prospectus	0.0438395
gazette	0.0436504
"Sporting News"	0.043314
"picture book"	0.0433109
broadsheet	0.0429412
CD-ROM	0.0428032
"San Francisco Examiner"	0.0426532
compilation	0.0424324
mag	0.0422977
Newsday	0.0420482
summary	0.0418116
"Foreign Affairs"	0.0415791
"Evening Standard"	0.0415132
"New Testament"	0.0413138
"Sydney Morning Herald"	0.0411789
"Denver Post"	0.0411451
"newspaper column"	0.0408365
Hyperion	0.0404753
HarperCollins	0.040356
workman	0.040235
monograph	0.0401318
Kommersant	0.0400014
))
(Almaty (desc 1422.99) (sims
Astana	0.273333
Alma-Ata	0.200676
"ALMA ATA"	0.198276
Tashkent	0.174365
Bamako	0.161141
Kuching	0.157526
Baikonur	0.156145
Gaborone	0.148139
MANAMA	0.144845
"Guatemala City"	0.138755
BASEL	0.131254
Ashkhabad	0.131107
Ouagadougou	0.129753
Reykjavik	0.129592
"Banja Luka"	0.129261
Muscat	0.12924
Dushanbe	0.128285
Lucknow	0.128165
Makhachkala	0.126398
"Bandar Seri Begawan"	0.125859
Tallinn	0.125682
Tbilisi	0.121967
Rabat	0.121281
Christchurch	0.121187
Valletta	0.119479
Klagenfurt	0.119274
Yerevan	0.117834
Murmansk	0.114441
Bishkek	0.113982
Chennai	0.113779
Windhoek	0.113146
Vilnius	0.112518
Merida	0.111869
Riyadh	0.110956
BLANTYRE	0.110915
"Egyptian capital"	0.110508
Jeddah	0.110501
Riga	0.109149
Suva	0.108533
"Gaza City"	0.108338
Podgorica	0.107052
Surabaya	0.10587
Entebbe	0.105867
Katmandu	0.104933
"San Salvador"	0.104621
Cartagena	0.104592
Minsk	0.104266
Davos	0.103472
Vladikavkaz	0.103081
TEGUCIGALPA	0.102929
Jaipur	0.102689
BRASILIA	0.101865
Krakow	0.101533
Vientiane	0.101441
Cardiff	0.101085
Accra	0.0993809
Bern	0.0990475
Tripoli	0.0989119
Krasnoyarsk	0.098382
CARACAS	0.0981665
"Santo Domingo"	0.0978772
Nagoya	0.0978009
Hobart	0.0970418
Ghent	0.0959566
Madras	0.0958906
Duesseldorf	0.0951035
Doha	0.0950595
"Abu Dhabi"	0.0947428
Peshawar	0.0946913
BRATISLAVA	0.0936348
Ndola	0.0933387
Skopje	0.093108
Abidjan	0.0928146
ZAGREB	0.0926087
Aqaba	0.0925087
Gelsenkirchen	0.092421
Oslo	0.0922516
"Quebec City"	0.0921624
Cebu	0.0919883
Medellin	0.0913673
Libreville	0.0911986
PATNA	0.0909282
Durban	0.090726
"Nuevo Laredo"	0.0903969
Salzburg	0.0903704
Linz	0.0898999
Sapporo	0.0893211
Osaka	0.0891936
Bangalore	0.0891514
Chisinau	0.0891111
Kigali	0.088684
Asuncion	0.0885493
Antalya	0.0884958
Essen	0.0884716
Provo	0.0884701
Jayapura	0.0884132
Conakry	0.0870326
Sidon	0.0863578
Amman	0.085665
PALERMO	0.0854765
Jalalabad	0.0853034
Maseru	0.0852101
Lucerne	0.0852073
Quito	0.0850568
Hyderabad	0.0846866
Goteborg	0.0845515
Davao	0.0845092
Edinburgh	0.0844641
Gudermes	0.0844478
Winston-Salem	0.0840437
MONTEVIDEO	0.0837117
Mbabane	0.0836547
Ipoh	0.0829364
Pereira	0.0824712
Shiraz	0.082401
"Wichita Falls"	0.0823937
Ljubljana	0.0822685
BUCHAREST	0.082151
Sirte	0.0819722
"Hilton Head"	0.0817784
Pretoria	0.0816383
"Nigerian capital"	0.0813767
Dakar	0.0813477
Strasbourg	0.0810132
Vitoria	0.0809638
BUDAPEST	0.0807189
Lahore	0.0802391
SOFIA	0.0797684
Trieste	0.079403
Nago	0.0793673
Bulawayo	0.0791993
Guadalajara	0.0785513
Managua	0.0784849
Halle	0.0784326
Eilat	0.077821
Bloemfontein	0.0777658
Zhongnanhai	0.0775901
Auckland	0.077289
Kano	0.0772541
"Port Elizabeth"	0.0772081
MAPUTO	0.0771475
Phuket	0.0768815
Algiers	0.0766343
Bursa	0.0766113
Port-au-Prince	0.0764058
Durres	0.0763398
KIEV	0.0758461
NIS	0.0755277
Midrand	0.0754844
Langkawi	0.0753553
Exeter	0.0752905
Baku	0.074886
Stuttgart	0.0747761
Ramallah	0.0747319
Lome	0.0746458
Calcutta	0.0745655
"La Paz"	0.0744878
Honiara	0.0744014
Yogyakarta	0.0743625
Munich	0.0741398
TUNIS	0.0739488
LISBON	0.0738857
"Port Moresby"	0.0737226
"Ho Chi Minh City"	0.0737097
Brisbane	0.0733091
Dunedin	0.0732067
Pattaya	0.0729654
SANAA	0.0729109
Lyon	0.0727683
Morristown	0.0727564
Santiago	0.0725603
Karlsruhe	0.0721798
WARSAW	0.0721469
Alexandria	0.0720324
Monrovia	0.0717974
Heidelberg	0.0715504
Cali	0.0713865
Rafah	0.0713625
Utrecht	0.0710864
Yokohama	0.0710086
Adelaide	0.0709964
Kandahar	0.0709339
Manado	0.0704645
Moroni	0.0704515
Helsinki	0.0702102
Toulouse	0.0701394
Moncton	0.0696876
Kingston	0.0696688
Filderstadt	0.0695118
Lausanne	0.0694202
Bissau	0.0693335
"Malaysian capital"	0.0691006
Sochi	0.0685712
Blackpool	0.0682326
"CHIANG MAI"	0.0680459
Bangui	0.0678645
Luanda	0.067754
TIRANA	0.0677513
Kisumu	0.0676936
Nakuru	0.0676115
))
(Almeida (desc 1507.37) (sims
Guterres	0.131753
Granic	0.113361
Zeng	0.111203
Ben-Ami	0.110275
Lipponen	0.108672
Xiong	0.105135
Stoyanov	0.104191
Silva	0.102842
Jovanovic	0.100905
Meguid	0.0979769
Pickering	0.0971992
Narayanan	0.0971883
Venecia	0.095206
Wolfensohn	0.0938277
Robson	0.093783
Mello	0.0916326
Sumaye	0.0900083
Kostov	0.0891647
"Lee Hsien Loong"	0.0890584
Moratinos	0.0886329
Carrera	0.0880154
Pustovoitenko	0.0874799
Azad	0.0870241
Scharping	0.0870086
Ikeda	0.0869167
OCA	0.0866637
Jong	0.0864855
Shevardnadze	0.086114
"de Charette"	0.0860141
Meng	0.0854126
Jager	0.0852531
Ganzouri	0.0848609
Rocha	0.0838369
Jayakumar	0.0837553
Qiao	0.0834883
Santer	0.0825093
Barros	0.0823496
Rifkind	0.0819217
Brundtland	0.0818692
Phieu	0.0816428
Komura	0.0814719
Zuma	0.0805483
Ahtisaari	0.0802
Fuente	0.0799607
Luong	0.0797212
Constantinescu	0.0796338
Kasoulides	0.0795429
Alatas	0.0794897
"De Soto"	0.0790789
Turabi	0.0789247
Dini	0.0787457
Sahnoun	0.078099
Prueher	0.0780154
Troussier	0.0771262
Bildt	0.0766246
Surin	0.0765214
"Charlene Barshefsky"	0.0762379
Villar	0.0756288
Kok	0.07545
Brittan	0.0754057
Yastrzhembsky	0.0752678
Avila	0.0752187
Vollebaek	0.075137
Cleary	0.0747675
"Goran Persson"	0.0744943
Siazon	0.0743071
Jia	0.0742992
Rashid	0.0741667
Ohlmeyer	0.0741252
Bruijn	0.074042
Sampaio	0.0733091
Kingsley	0.0731119
Akayev	0.0729285
Naumann	0.0728342
Tsang	0.072699
Tian	0.0726744
Hoss	0.0726538
Xanana	0.0723114
Bruton	0.0722966
Banharn	0.0721107
Leghari	0.0720646
"Faisal Husseini"	0.0719265
Kyprianou	0.0718032
Brahimi	0.071773
Abdel-Meguid	0.0716844
Klima	0.0716782
Rossotti	0.0714295
Ruehe	0.0713213
"Israeli Foreign Ministry"	0.0713123
Advani	0.0713107
Rong	0.0710803
Ogata	0.070897
Ivester	0.0705179
"Yossi Sarid"	0.0704581
Kinkel	0.0702713
Chao	0.0701104
Holl	0.0698553
"Than Shwe"	0.0697965
Boer	0.0697711
Shaath	0.0697447
Casas	0.0692455
Bellamy	0.0688541
Tsvangirai	0.0688063
Zou	0.0687128
Gomes	0.0685845
Gama	0.0683057
Deuba	0.0681459
Kagame	0.0681361
Yandarbiyev	0.0680155
Chissano	0.067586
Pangalos	0.067582
Diouf	0.0675743
Samper	0.0675682
Nzo	0.067547
Kabariti	0.0674846
"Momcilo Krajisnik"	0.0671722
Husseini	0.0671651
Mkapa	0.0666889
Velayati	0.0666311
"Tim Fischer"	0.0666299
Gurirab	0.0666016
"Cindy McCain"	0.0665957
"Adem Demaci"	0.0664735
Luo	0.0662957
Pu	0.0661584
Sergeyev	0.0660082
"Wim Kok"	0.0657577
LeBlanc	0.0656664
Fino	0.0655833
Tarawneh	0.0654403
Pippig	0.0654283
"Bernard Kouchner"	0.0654223
Serra	0.0653656
Nazarbayev	0.0652257
Nateq-Nouri	0.0652096
Blatter	0.065195
Zapata	0.0649918
Karimov	0.0649027
Axworthy	0.0648339
SSB	0.0648183
Jauron	0.0646923
Xiang	0.0646919
Indyk	0.0646723
Cem	0.0646677
Hrawi	0.0644514
Rodionov	0.0644031
Bizimungu	0.0642559
Khai	0.0642328
Iglesias	0.0641837
Koehler	0.0641407
Jing	0.0638368
"Yegor Stroyev"	0.0637808
Garza	0.0637524
Aquino	0.063602
Irvan	0.0634007
Ivanov	0.0633319
Aleman	0.0631701
Swardt	0.0631565
Koo	0.063081
Qian	0.0628961
Oliveira	0.0628186
Brasil	0.0627102
Seleznyov	0.0626771
Eizenstat	0.0625794
al-Sahhaf	0.0625598
Ghali	0.0625101
Milutinovic	0.0624998
Kharrazi	0.0624007
"Prime Minister Kamal El-Ganzouri"	0.0623575
Shi	0.0622621
Fabius	0.0621527
Gaulle	0.0620362
"Li Peng"	0.0620326
"Amnuay Virawan"	0.0620276
Kouchner	0.0620222
Musa	0.0619173
Malan	0.0618755
Strauss-Kahn	0.0618752
Harrell	0.0618193
Boueiz	0.0617849
Koznick	0.0615483
"Pascoal Mocumbi"	0.0615095
Klerk	0.0613594
Leung	0.0613147
Quintana	0.0612801
Rosa	0.0611559
Fernandes	0.0611488
Wei	0.0611415
"Senate Budget Committee"	0.0610641
"House Budget Committee"	0.061042
"Khin Nyunt"	0.0609298
Baz	0.0609095
Shareh	0.0607215
Cui	0.0606903
Weizman	0.0606651
Nasrallah	0.0606589
Dias	0.060622
Vasile	0.0606003
"Ivan Kostov"	0.0605409
Dehaene	0.0604659
))
(Almighty (desc 883.3) (sims
Allah	0.201316
"Antiquities Act"	0.0771984
"Tony La Russa"	0.0652896
thee	0.0649572
TORTURER	0.0619638
"Pope John Paul"	0.0608642
"Jesus Christ"	0.0606642
"Virgin Mary"	0.059743
rosary	0.0584337
Zeus	0.0579041
Rahman	0.0570739
psalm	0.0563354
"King Birendra"	0.0557172
reapportionment	0.0556282
Ecuadorian	0.0541013
"British people"	0.0530762
abortionist	0.0530034
infidel	0.0526684
goalpost	0.0515854
"Yugoslav Army"	0.0510092
"George Steinbrenner"	0.0509944
co-sponsors	0.0505644
Ecuadoreans	0.0504653
Jayasinghe	0.0501875
"lynch mob"	0.0498656
"Nevada State Athletic Commission"	0.0492519
Lari	0.0490869
Mahomes	0.0490463
major-leaguers	0.0486153
"Leon Hess"	0.0484976
Calvary	0.048386
Monson	0.0474107
incumbency	0.0473276
Schmid	0.0463872
"Mother Nature"	0.0462678
"black person"	0.04618
"business establishment"	0.0458014
"point system"	0.0457612
"Court of Arbitration"	0.0457052
"Green Monster"	0.0456254
Ulema	0.0455138
"Lagos State"	0.045039
"Holy Spirit"	0.045024
Bronfman	0.0448389
Mujahideen	0.0446355
"M. Douglas Ivester"	0.0446192
"utility program"	0.0445061
ginkgo	0.0443765
"natural selection"	0.0442794
"fellow worker"	0.0442464
"paramilitary organization"	0.0437398
"Pudong International Airport"	0.0435577
FloJo	0.0433985
"Yancey Thigpen"	0.0433753
Hazelwood	0.0431848
McAuliffe	0.0431118
"Kenny Anderson"	0.0431063
"more than @@@ hectares"	0.0429203
"World Court"	0.0425534
EBRD	0.0425444
apportionment	0.0425275
"Adrian Murrell"	0.0424854
"Joint Military Commission"	0.0423883
Sihanouk	0.0421774
"North Atlantic Council"	0.0421606
"more than @@@ tons"	0.0421085
"million over five years"	0.0419874
"Intelligence Ministry"	0.0419228
sender	0.0418845
"fishing season"	0.0418538
Bedell	0.0418062
"athletic field"	0.0415169
"middle distance"	0.0412362
"eminent domain"	0.0412148
harder	0.0411981
"welfare worker"	0.0410852
Newhouse	0.0405571
"King Sihanouk"	0.0404999
goverment	0.040474
"Twenty-five percent"	0.0403374
Ivoire	0.0403012
"Gianni Agnelli"	0.0401975
"leading lady"	0.0401739
))
(Almodovar (desc 1787.58) (sims
"Pedro Almodovar"	0.135186
Truffaut	0.129704
Sayles	0.126369
"Neil LaBute"	0.123121
Solondz	0.110229
Fellini	0.106552
Miyazaki	0.097404
Spielberg	0.0932816
Hartley	0.0926724
"Stanley Kubrick"	0.0924229
"John Waters"	0.0918857
Zapruder	0.0866977
Wiseman	0.0853619
Coppola	0.0827214
Kubrick	0.0826073
Machado	0.082477
"Frank Capra"	0.0800186
Kurosawa	0.0768272
BANDERAS	0.07627
"Mike Nichols"	0.0760961
LaBute	0.0735164
Boorman	0.0733598
"George Lucas"	0.0729467
Ruben	0.072303
"David Lynch"	0.0721496
Samuelson	0.0719798
"American Film Institute"	0.0713347
Costner	0.0705462
"Spike Lee"	0.0694365
Tucci	0.0693075
Tilberis	0.0687709
"Oliver Stone"	0.0677376
Scorsese	0.0668621
Hou	0.066727
"Robert Altman"	0.0663936
Berle	0.0650916
Altman	0.0647736
"Radio City"	0.0646544
"Roberto Benigni"	0.0640173
Bergman	0.0634068
Benigni	0.0633571
Schulz	0.0632432
"Van Sant"	0.0625193
"Ingmar Bergman"	0.0620696
"Alfred Hitchcock"	0.061609
"Nora Ephron"	0.0612731
"Lewis Carroll"	0.0610736
Bridget	0.0604035
Greenwald	0.06025
Girard	0.0597959
"Martin Scorsese"	0.0592085
special-effects	0.0586357
Taymor	0.0579876
Neel	0.0576194
Galliano	0.0575948
"Woody Allen"	0.0573378
Yoakam	0.0573271
Figgis	0.0573223
Hearn	0.0572881
Galindo	0.057106
"Ron Howard"	0.0569178
Sandler	0.0568636
Rowling	0.0568599
MAMET	0.0567563
Hindery	0.0566615
Welles	0.0565878
Chaplin	0.0565565
"Steven Spielberg"	0.0560034
made-for-TV	0.0559752
Pixar	0.0554693
hodgson	0.0554297
McGowan	0.0547061
"Francis Ford Coppola"	0.0542796
Leigh	0.0537005
Levinson	0.0535679
Paltrow	0.0533631
Rushdie	0.0525123
Soderbergh	0.0522044
"KEN BURNS"	0.0520698
Winkler	0.0520421
Kazan	0.0512468
Eichmann	0.0505282
Tillman	0.0505255
Cunanan	0.0501214
Frankenheimer	0.0500665
"Top @@@"	0.0500179
Wilder	0.0499867
Liz	0.0499702
Crowe	0.0499112
Chrissie	0.0496349
Kerouac	0.049233
IMAX	0.0491886
Kasoulides	0.0491286
Christy	0.0491144
Sade	0.0489355
McNulty	0.048814
"Barry Levinson"	0.0486635
Wilhelm	0.0485019
Yarnall	0.0483801
"Leigh Ann"	0.0483611
Condon	0.0482852
slasher	0.0477285
Tharp	0.0475311
Heaney	0.0474792
Rankin	0.0474722
Zellweger	0.0474155
Ramona	0.047207
Kornberg	0.0471656
Schwarzenegger	0.047121
Grasso	0.047043
Leibovitz	0.0469449
TARPLEY	0.04684
Farrellys	0.0468211
Gershwin	0.0465788
Eisner	0.0465677
Turturro	0.0465631
Mercado	0.046539
stipe	0.0463959
"David Mamet"	0.0463941
Melville	0.0463323
"Secretary General Esmat Abdul-Meguid"	0.0462995
Dench	0.0462627
Heade	0.0462625
Springsteen	0.0461518
Collin	0.0458844
Julian	0.0458394
Monroe	0.0457737
Puente	0.0455511
Alexie	0.0455312
"Billy Wilder"	0.0453995
Ella	0.045194
Suarez	0.0451118
"Buddy Holly"	0.0450299
Doyle	0.0448457
MALICK	0.0448294
Edelstein	0.0448214
"Steven Soderbergh"	0.0447967
"Neil Simon"	0.0447428
Beatty	0.0446571
Bolger	0.0445899
Coen	0.0445726
Tsai	0.0444304
Biggs	0.0444159
Silverstein	0.0441451
Kidder	0.0440653
Markhasev	0.0440135
Hamill	0.0439586
Rembrandt	0.0438784
"Quentin Tarantino"	0.0436762
Moratinos	0.0436496
Hannah	0.0435981
Pamela	0.0435378
Gerardi	0.0435244
noir	0.0435045
Batman	0.0434715
Moseley	0.0433448
Selena	0.0433235
Corey	0.0432075
Sutherland	0.0430718
Schmalensee	0.0430355
Gorey	0.0429615
Trollope	0.0428342
Boyle	0.0424416
Stoppard	0.0422166
"Jonathan Demme"	0.0421433
Stoyanov	0.0420706
Baumhammers	0.0420139
Dubus	0.041982
Shapiro	0.04195
Wenger	0.0418946
"John Ford"	0.0418535
Hurley	0.0417508
Fiennes	0.0416207
Bautista	0.041596
Proust	0.0415349
Goossen	0.0415322
Bibi	0.0414408
Ofili	0.0409688
Marley	0.0409661
Houdini	0.0408465
Nemtsov	0.0407701
Haynes	0.0407686
"Benjamin Franklin"	0.0407365
"Clint Eastwood"	0.0407312
Puzo	0.0406633
"Griffith Joyner"	0.0406245
Vivian	0.0406102
Warhol	0.0404793
Pushkin	0.0404651
Ebersol	0.0404437
"Rat Pack"	0.0403288
"Eddie Murphy"	0.040255
"El Pais"	0.0402121
Luo	0.0401251
Atkinson	0.040085
Dorothy	0.040022
))
(almond (desc 14815.6) (sims
pecan	0.324069
raisin	0.274799
walnut	0.267676
hazelnut	0.260368
"macadamia nut"	0.243517
"pine nut"	0.238973
coconut	0.238251
cashew	0.226512
Garlic	0.209764
onion	0.202049
scallion	0.199794
parsley	0.198532
pistachio	0.193301
"sesame seed"	0.193195
cilantro	0.192362
shallot	0.191613
"brown sugar"	0.190051
"green onion"	0.189594
"lemon juice"	0.183442
ginger	0.182509
Basil	0.1817
"pumpkin seed"	0.181605
nut	0.180539
lemon	0.17997
Cherry	0.179432
celery	0.179152
apricot	0.176522
pineapple	0.176519
cinnamon	0.173746
tomato	0.173727
peanut	0.172172
olive	0.171704
vanilla	0.171475
"red pepper"	0.165592
mint	0.165481
currant	0.164716
fig	0.16457
raspberry	0.163401
crumb	0.162282
"peanut butter"	0.162217
peach	0.161914
pear	0.160358
chive	0.156099
butter	0.155167
blueberry	0.154938
mango	0.153708
prune	0.151999
cheese	0.151142
carrot	0.150418
buttermilk	0.149107
"red onion"	0.146998
cucumber	0.146502
cranberry	0.145186
sugar	0.144047
vinegar	0.143678
"bell pepper"	0.143307
cornmeal	0.14306
marshmallow	0.142788
nectarine	0.142353
pepper	0.141732
"black olive"	0.140964
thyme	0.140676
"sour cream"	0.139003
cocoa	0.137869
potato	0.137781
avocado	0.13737
mushroom	0.135763
clove	0.135642
"lime juice"	0.13533
"green olive"	0.134525
plum	0.134513
nutmeg	0.134501
apple	0.134325
"poppy seed"	0.134308
mustard	0.133897
"blue cheese"	0.133592
"olive oil"	0.133433
"peanut oil"	0.133211
flour	0.132444
leek	0.13241
fennel	0.132304
strawberry	0.131297
banana	0.130562
oregano	0.130293
dill	0.130226
"black pepper"	0.129077
"maple syrup"	0.128939
lime	0.128866
tarragon	0.128325
spinach	0.128016
rosemary	0.12752
chilies	0.126453
chiles	0.126298
chocolate	0.125774
"orange zest"	0.125542
cumin	0.125453
melon	0.124797
"green pepper"	0.124189
spice	0.123542
"sesame oil"	0.123541
ricotta	0.123183
cornstarch	0.121841
"orange marmalade"	0.121435
"vegetable oil"	0.121343
croutons	0.121313
peppercorn	0.121077
"lemon zest"	0.120473
margarine	0.120393
"water chestnut"	0.12004
"soy sauce"	0.119884
"orange juice"	0.119586
breadcrumb	0.119474
"goat cheese"	0.118938
jalapeno	0.118792
"dried fruit"	0.118393
herb	0.118252
asparagus	0.118082
cabbage	0.117369
honey	0.117177
salt	0.117137
oatmeal	0.117008
Quince	0.116757
"sweet potato"	0.116648
"coriander seed"	0.116552
paprika	0.115613
"wine vinegar"	0.115393
brioche	0.115367
"cumin seed"	0.114717
"garlic clove"	0.114215
"whipping cream"	0.11388
pumpkin	0.113315
"chili powder"	0.11275
"cider vinegar"	0.112342
watermelon	0.112223
marjoram	0.112127
eggplant	0.1118
miso	0.111515
Parmesan	0.111387
bean	0.111385
lettuce	0.111215
blackberry	0.111176
RHUBARB	0.110359
molasses	0.109581
"egg white"	0.109178
horseradish	0.108715
zucchini	0.108715
"mustard seed"	0.108563
coriander	0.107656
fruit	0.107602
"heavy cream"	0.107232
"green bean"	0.107228
half-and-half	0.107063
canola	0.10691
radish	0.106841
pea	0.106236
mayonnaise	0.106175
oat	0.106051
yogurt	0.105801
"cream cheese"	0.10574
berry	0.10556
anchovy	0.104857
"corn syrup"	0.104697
corn	0.103829
grape	0.103645
lentil	0.103489
Broccoli	0.103202
"sunflower seed"	0.10315
shortening	0.103072
"Worcestershire sauce"	0.102593
"pineapple juice"	0.10209
vegetable	0.101779
persimmon	0.101457
beet	0.101435
"baking soda"	0.101072
"whipped cream"	0.100962
artichoke	0.100943
powder	0.100532
"cottage cheese"	0.100467
"baking powder"	0.100242
bread	0.099765
allspice	0.0997454
"coconut milk"	0.0993682
"evaporated milk"	0.0991489
turmeric	0.0991341
tapioca	0.0986412
"hot pepper"	0.098497
sesame	0.0983908
liqueur	0.0982773
bacon	0.098113
shrimp	0.0977647
milk	0.0977306
chervil	0.0976743
caper	0.097129
"chicken broth"	0.0961632
rum	0.0960353
Chickpea	0.0960301
saffron	0.0959489
prosciutto	0.0956281
puree	0.0951339
arugula	0.0950795
))
("almond extract" (desc 1534.47) (sims
"baking powder"	0.370547
"vanilla extract"	0.340857
"celery seed"	0.328677
"baking soda"	0.326088
vanilla	0.290349
"garlic salt"	0.277974
cinnamon	0.266764
cornstarch	0.266105
"curry powder"	0.264722
"cayenne pepper"	0.264047
"orange zest"	0.262108
"pepper sauce"	0.25533
"Worcestershire sauce"	0.252287
nutmeg	0.249718
"white pepper"	0.249615
"lemon zest"	0.245787
turmeric	0.235374
"chili powder"	0.222619
allspice	0.218073
"cumin seed"	0.217223
"cider vinegar"	0.215185
"Tabasco sauce"	0.213185
"lemon juice"	0.208135
"lemon peel"	0.205681
cayenne	0.203904
"sesame oil"	0.20032
oregano	0.199707
"evaporated milk"	0.198554
"corn syrup"	0.196154
"egg yolk"	0.196141
flavoring	0.195469
paprika	0.189111
peppercorn	0.184873
"fennel seed"	0.1831
"brown sugar"	0.180454
"orange peel"	0.179515
"heavy cream"	0.176353
"lime juice"	0.174121
"wine vinegar"	0.173702
"seasoned salt"	0.173662
"soy sauce"	0.169664
"coriander seed"	0.167014
cumin	0.163765
mustard	0.160861
"black pepper"	0.159673
salt	0.158805
coriander	0.157783
"mustard seed"	0.155795
"sesame seed"	0.153468
buttermilk	0.152581
half-and-half	0.150978
gelatin	0.149501
"maple syrup"	0.148568
cornmeal	0.147931
"egg white"	0.147454
vinegar	0.146575
clove	0.144831
"vegetable oil"	0.142929
thyme	0.14207
mace	0.142054
shortening	0.139994
Tabasco	0.138579
powder	0.137975
butter	0.136655
flake	0.136436
margarine	0.136196
marjoram	0.131761
"orange juice"	0.13028
honey	0.130103
"Grand Marnier"	0.128969
"food coloring"	0.128214
"sour cream"	0.127551
"peanut oil"	0.127549
ginger	0.125329
yolk	0.124959
"hot sauce"	0.124478
tarragon	0.122958
cardamom	0.120816
dill	0.119256
parsley	0.118384
seasoning	0.117408
flour	0.116882
rum	0.116384
molasses	0.115828
yeast	0.115013
"olive oil"	0.114493
zest	0.113909
rosemary	0.112751
Garlic	0.112112
"tomato paste"	0.111177
"pineapple juice"	0.110147
licorice	0.106429
mint	0.106039
lemon	0.105298
cocoa	0.104343
"cooking oil"	0.102456
coconut	0.101525
Basil	0.0996512
horseradish	0.0963074
"coconut milk"	0.0957998
"chili sauce"	0.0956431
liqueur	0.095641
saffron	0.0950206
"cottage cheese"	0.0945976
lime	0.094098
tahini	0.0926402
"condensed milk"	0.091882
pineapple	0.0916348
sherry	0.091441
kosher	0.0911635
pecan	0.0905225
chive	0.0898231
syrup	0.0897091
cilantro	0.0880082
anise	0.087285
Sage	0.0862642
"poppy seed"	0.0830617
"red pepper"	0.0824164
"vanilla bean"	0.081942
brandy	0.0816264
currant	0.0806746
sweetener	0.0803934
"peanut butter"	0.0800404
yogurt	0.0795757
"bay leaf"	0.0770816
marshmallow	0.0763943
creme	0.0751009
almond	0.07486
scallion	0.0746945
shallot	0.0741838
"hot pepper"	0.0735364
"tomato juice"	0.073222
"star anise"	0.0724625
grapefruit	0.0723683
"beef stock"	0.071445
raspberry	0.0687101
"chicken stock"	0.0683209
"dairy product"	0.0670544
espresso	0.0665612
raisin	0.0661908
oat	0.0656317
crumb	0.0641568
fraiche	0.0635834
lentil	0.0626337
mayonnaise	0.0620248
"whipping cream"	0.0609384
Parmesan	0.0608944
custard	0.060471
"pine nut"	0.0591101
vodka	0.0588036
"powdered milk"	0.0587307
Provence	0.0580866
bauxite	0.0579827
pesto	0.0565338
"wheat flour"	0.0564291
pimento	0.0563438
wasabi	0.0561964
ketchup	0.0561589
oatmeal	0.0559484
"frozen yogurt"	0.0555519
caramel	0.0555261
lemongrass	0.0543032
puree	0.0542337
Gorgonzola	0.054172
Cognac	0.0539008
starch	0.0538215
celery	0.0532416
peppermint	0.0531974
"dried fruit"	0.0530843
apricot	0.0524944
"citrus fruit"	0.0516683
"cream cheese"	0.0516036
fennel	0.0511724
"cake mix"	0.0504836
"milk chocolate"	0.0501345
bouillon	0.0498863
MOCHA	0.0493368
"macadamia nut"	0.0489139
"Swiss chard"	0.0487932
tapioca	0.0487661
"white wine"	0.0485956
"bell pepper"	0.0484391
"chicken broth"	0.047864
"orange marmalade"	0.0474247
"grapefruit juice"	0.0468853
Tamarind	0.0466718
blueberry	0.0464751
gingerbread	0.046057
electrolyte	0.0460206
"cane sugar"	0.0459369
"green onion"	0.0447125
"ginger ale"	0.0434756
grappa	0.0423801
MSG	0.042364
"canned food"	0.0422291
"whipped cream"	0.0422161
"apple juice"	0.0416415
papaya	0.0414947
"chicken sandwich"	0.0408971
preservative	0.0406439
))
("almost $@ billion" (desc 1504.39) (sims
"almost $@@ billion"	0.264495
"almost $@@@ million"	0.262188
"about $@.@@ billion"	0.260512
"over $@ billion"	0.250243
"nearly $@ billion"	0.245693
"nearly $@.@ billion"	0.244252
"about $@@.@ billion"	0.217761
"over $@@ billion"	0.20692
"nearly @@@ million yuan"	0.205128
"more than @@ billion dollars"	0.200528
"nearly $@.@ million"	0.194005
"nearly $@@@ million"	0.192312
"more than @ billion dollars"	0.192222
"nearly $@@ billion"	0.184092
"more than one billion yuan"	0.180892
"over @@@ million yuan"	0.178974
"about $@@ billion"	0.177907
"about $@ billion"	0.17622
"about $@@.@ million"	0.171995
"about $@.@ billion"	0.170702
"more than @@@ million dollars"	0.17037
"over @@@ billion yuan"	0.170314
"nearly $@@"	0.169891
"over @@ million yuan"	0.169528
"more than @@ million yuan"	0.168776
"about @.@ billion dollars"	0.16806
"more than @@@ million yuan"	0.166807
"about @ billion dollars"	0.165648
"over $@@@ million"	0.164943
"billion dollars"	0.163964
"nearly @.@ billion yuan"	0.162106
"more than @.@ billion dollars"	0.162018
"nearly $@@@ billion"	0.159344
"more than @@ billion US dollars"	0.158897
"a few million dollars"	0.158511
"two billion yuan"	0.157501
"about $@@@ million"	0.157146
"about $@@@ billion"	0.15696
"seven billion yuan"	0.155836
"more than @ billion yuan"	0.155804
"one billion US dollars"	0.154973
"almost $@@ million"	0.153545
"more than @.@ billion yuan"	0.153204
"almost $@@,@@@"	0.151983
"billion yuan"	0.151036
"nearly @@ billion yuan"	0.150577
"about $@@ million"	0.146893
"more than @@@ million US dollars"	0.146421
"almost $@ million"	0.145938
"million yuan"	0.145246
"Over @@@ Million Dollars"	0.143682
"over $@@ million"	0.140721
"five billion yuan"	0.140358
"about $@ million"	0.137249
"nearly $@"	0.137115
"more than @@@,@@@ yuan"	0.136856
"thousand dollars"	0.136551
"about $@.@@ million"	0.134496
"one billion dollars"	0.134427
"about $@.@ million"	0.134312
"four billion yuan"	0.133463
"three million yuan"	0.133208
"six billion yuan"	0.131458
"almost $@@@,@@@"	0.13107
"more than @@ billion yuan"	0.130123
"over @.@ billion yuan"	0.130077
"more than @@ million dollars"	0.128489
"over @@ billion yuan"	0.127861
"nearly $@@ million"	0.126623
"more than @@.@ billion yuan"	0.126047
"three billion yuan"	0.125245
"more than @@ million US dollars"	0.12502
"over @@@ million US dollars"	0.124667
"nearly $@@,@@@"	0.12457
"about @@ million dollars"	0.121489
"hundred thousand dollars"	0.120756
"nearly $@@@,@@@"	0.120714
"about @@@ million yuan"	0.119448
"over $@ million"	0.117871
"hundred million dollars"	0.115713
"two million yuan"	0.114688
"about @@ billion dollars"	0.114595
"over $@@@,@@@"	0.114156
"nearly $@,@@@"	0.113828
"about $@@@,@@@"	0.113727
"nearly $@ million"	0.112272
"about $@.@ trillion"	0.111624
"one billion yuan"	0.110433
"about $@"	0.109771
"about $@@,@@@"	0.105621
"one million dollars"	0.104822
"hundred dollars"	0.104174
billion	0.100703
"about @@@ million dollars"	0.10018
"million dollars"	0.10008
"over $@@@"	0.0982144
"one million US dollars"	0.0977587
"trillion dollars"	0.0974879
"more than @@@ billion yuan"	0.0939652
"about @@@ million US dollars"	0.0927751
"one million yuan"	0.0896358
"about $@@@"	0.0890612
"another @@ million dollars"	0.0858604
"more than @@,@@@ yuan"	0.0856131
"five million yuan"	0.0810594
"currency unit"	0.0805613
"about @@ million US Dollars"	0.0799968
ECU	0.0796026
"RM@@@,@@@"	0.0793852
"about @@.@ million dollars"	0.078762
"three match points"	0.0777735
"billion over @@ years"	0.0777117
"about $@,@@@"	0.0773318
"more than @.@ billion US dollars"	0.0769396
"two billion US dollars"	0.0747124
U.S.dollars	0.0726296
"a few hundred dollars"	0.072589
"less than @.@ percent"	0.0717651
"one penny"	0.071136
pataca	0.0709078
"minority stake"	0.0703573
"a few thousand dollars"	0.0701585
"about $@@"	0.066102
Mln	0.0660346
"small fortune"	0.0654312
"solar cell"	0.0648014
"a few pounds"	0.0628755
"another @"	0.06263
"ownership stake"	0.0624828
Westinghouse	0.0624769
"about @@@,@@@ dollars"	0.0624286
"a few dollars"	0.0623312
"equity interest"	0.0615347
"about @@ billion yuan"	0.0614318
Epogen	0.0610812
"two units"	0.0586081
shekel	0.058063
RM@@@	0.0576903
"two match points"	0.0571391
"foreign direct investment"	0.0564598
"over $@,@@@"	0.0562747
influence-peddling	0.0551979
"about @.@@ billion dollars"	0.0551245
KUNA	0.0549757
trillion	0.0549612
"controlling interest"	0.0548028
ECUs	0.0546833
"another @.@ percent"	0.0546716
"police captain"	0.0546529
tenge	0.0545092
"sum of money"	0.0537933
"Rolls-Royce Motor Cars"	0.053592
"ransom money"	0.0534375
"about @@@ million"	0.05342
franc	0.0533161
Mapes	0.0530211
"three cents"	0.0528679
"Liberty Media"	0.0526849
"about @@@,@@@ tons"	0.0525522
"three @-pointers"	0.0525061
"about @.@ million dollars"	0.0520123
"more than @@ million tons"	0.0519509
"capital investments"	0.0518139
birr	0.0515381
"about @@@ points"	0.051453
"one cent"	0.0510019
Grbac	0.0509608
"break of serve"	0.0504566
falloff	0.0504094
sub-projects	0.0502552
"two cents"	0.0501205
"About @@ per cent"	0.0498337
"one dollar"	0.0496453
"over $@@,@@@"	0.0495753
"two million tons"	0.0491287
"nearly @@ points"	0.0488675
"special drawing rights"	0.0486827
"Unit @"	0.0486267
"equity stake"	0.0486015
"about @.@ million tons"	0.0483541
"dollar amount"	0.0483311
"League of Nations"	0.0481727
"another @-pointer"	0.047985
"over @@ million US dollars"	0.0474565
softness	0.0472087
"Twenty-five percent"	0.0470747
"minority interest"	0.0468941
LIPITOR	0.0464915
Bln	0.0463783
dollars-worth	0.0461994
"Twenty percent"	0.0460508
"Playstation @"	0.0456123
"about $@@.@@"	0.0455351
Petrofina	0.0453785
"million over five years"	0.0453447
"more than @@@ million"	0.0452879
Avonex	0.0449775
"debt service"	0.0449714
Chadwick	0.0448223
"bank debt"	0.0443238
))
("almost $@ million" (desc 2381.16) (sims
"nearly $@.@ million"	0.257815
"nearly $@ million"	0.255162
"almost $@@ million"	0.243814
"more than @@@,@@@ yuan"	0.226085
"almost $@@@,@@@"	0.225214
"over $@ million"	0.210945
"about $@.@ million"	0.209878
"about $@@.@ million"	0.199605
"almost $@@@ million"	0.198271
"nearly $@@@ million"	0.196892
"nearly $@@ million"	0.192518
"about $@.@@ million"	0.189936
"nearly $@@@,@@@"	0.188498
"about @@@ million yuan"	0.187163
"Over @@@ Million Dollars"	0.184009
"nearly $@@,@@@"	0.183984
"about $@@ million"	0.178572
"about $@ million"	0.17803
"almost $@@,@@@"	0.177478
"about $@@@,@@@"	0.173922
"over $@@@,@@@"	0.173662
"over $@@ million"	0.172608
"nearly @@@ million yuan"	0.172463
"a few million dollars"	0.164559
"hundred thousand dollars"	0.162703
"thousand dollars"	0.161875
"billion dollars"	0.160907
"over $@@@ million"	0.160653
"million dollars"	0.15824
"about $@@,@@@"	0.157708
"a few thousand dollars"	0.157315
"over $@ billion"	0.15625
"one million dollars"	0.154276
"more than @.@ billion yuan"	0.151992
"more than @@ million yuan"	0.151479
"over @@ million yuan"	0.14951
"nearly $@@ billion"	0.149231
"three million yuan"	0.14836
"nearly $@ billion"	0.1478
"more than @@ billion dollars"	0.146651
"more than @.@ billion dollars"	0.14616
"almost $@ billion"	0.145938
"about $@,@@@"	0.145699
"more than @@@ million dollars"	0.144616
"about $@.@@ billion"	0.140465
"about $@.@ billion"	0.13957
"five million yuan"	0.13906
"more than @@@ million yuan"	0.137803
"two million yuan"	0.136588
"nearly $@,@@@"	0.136557
"about $@ billion"	0.134465
"nearly @.@ billion yuan"	0.132659
"one million US dollars"	0.132595
"over @@@ million yuan"	0.13255
"about $@@ billion"	0.132099
"about $@@@ million"	0.131942
"over @@@ million US dollars"	0.13067
"almost $@@ billion"	0.128652
"about $@@@ billion"	0.126759
"over $@@ billion"	0.12555
"about @@ million dollars"	0.123516
"more than @@,@@@ yuan"	0.121557
"over @@ billion yuan"	0.120542
"one billion US dollars"	0.120502
"hundred dollars"	0.119697
"about @@ billion dollars"	0.119224
"one million yuan"	0.117323
"about @@@ million dollars"	0.116114
"about $@@@"	0.114768
"sum of money"	0.113885
"over @@@ billion yuan"	0.112945
"about @ billion dollars"	0.111887
"more than @ billion dollars"	0.111537
"one billion yuan"	0.111443
"about @@ million US Dollars"	0.110933
"more than @@.@ billion yuan"	0.110057
"nearly @@ billion yuan"	0.108955
"about $@"	0.107549
"hundred million dollars"	0.106718
"a few hundred dollars"	0.105334
"more than @@@ million US dollars"	0.105086
"one billion dollars"	0.10451
"more than one billion yuan"	0.103971
"nearly $@@"	0.103433
"million yuan"	0.103146
"more than @ billion yuan"	0.102535
"nearly $@.@ billion"	0.101938
"five billion yuan"	0.101047
"over $@@,@@@"	0.100639
"four billion yuan"	0.0995258
"over $@,@@@"	0.0995153
"about @@ billion yuan"	0.0991884
"RM@@@,@@@"	0.0983107
"nearly $@@@ billion"	0.0981761
"about $@.@ trillion"	0.0953151
"about $@@.@ billion"	0.0936935
"RM@@,@@@"	0.092968
"more than @@@ billion yuan"	0.0927541
"about @.@ billion dollars"	0.0921715
"more than @@ billion US dollars"	0.0921317
"about @@@ million US dollars"	0.0908249
"more than @@ billion yuan"	0.0898221
"three billion yuan"	0.0894817
"six billion yuan"	0.0893558
"more than @@ million US dollars"	0.0888366
RM@@@	0.0887654
"RM@,@@@"	0.08849
"Zimbabwe Dollars"	0.0881723
billion	0.0875198
"over $@@@"	0.0842436
"over @@ million US dollars"	0.0838356
"nearly $@"	0.0837154
"about @@@,@@@ dollars"	0.0835356
"more than @@ million dollars"	0.0830881
birr	0.0829109
"about $@@"	0.0825219
"two billion yuan"	0.0817874
"small fortune"	0.0775946
crore	0.0772122
"more than @.@ billion US dollars"	0.0766257
"billion yuan"	0.076327
"Tanzania Shillings"	0.0761814
ECU	0.0761301
monies	0.0761019
"a few dollars"	0.0756253
"about $@@.@@"	0.0746543
"trillion dollars"	0.0739858
"about $@.@@"	0.07238
"amount of money"	0.0708921
shekel	0.0699499
"about @@.@ million dollars"	0.0698299
U.S.dollars	0.0680882
"up to @.@ percent"	0.067852
"one penny"	0.0672778
ECUs	0.0657478
"over @.@ billion yuan"	0.065401
mil	0.0649288
penny	0.064759
"ransom money"	0.0636935
pataca	0.0624456
"three match points"	0.0624442
"seven billion yuan"	0.0612242
"Uganda Shillings"	0.0601994
euros	0.0596074
"U.S. Dollars"	0.0591792
"currency unit"	0.0584062
VND	0.0576182
"another @@ million dollars"	0.0572794
"over $@@"	0.0569359
"billion over @@ years"	0.0560097
"about @.@@ billion dollars"	0.0545645
billions	0.0540606
dime	0.0538872
T.Shs	0.0531163
"about @.@ million dollars"	0.051777
"over one third"	0.0514857
"personal loan"	0.0509698
"telephone bill"	0.05055
"tax income"	0.050315
"five spot"	0.0502279
dinar	0.0494194
KUNA	0.049112
kickback	0.0484272
"speeding ticket"	0.0478685
"about @.@ billion US dollars"	0.047535
"wage earner"	0.0471385
instalment	0.0469717
reais	0.0463653
chipping	0.0462419
"bus fare"	0.0462182
"less than @.@ percent"	0.0460479
"legal age"	0.0460229
ruckus	0.0459921
"about @@ to @@"	0.0459341
wage-earner	0.0456232
"retirement benefit"	0.0450539
"tax revenue"	0.0450308
"two match points"	0.0449857
Bln	0.0449072
"almost one-third"	0.044726
dlr	0.0445814
Nickel	0.0445005
"insurance premium"	0.0444899
"about three times"	0.0441818
metical	0.044093
"one cent"	0.0438747
TAXES	0.0438656
hryvna	0.0438374
"two sacks"	0.0436483
"cash bonus"	0.0436031
"about @,@@@ miles"	0.0429486
GPU	0.0428046
M.A	0.042625
"about one-tenth"	0.0424562
"Cecil Collins"	0.0420952
"two fingers"	0.0420262
tilde	0.0417916
laid-offs	0.0417085
"about five percent"	0.0415907
"high street"	0.0414738
))
("almost $@@ billion" (desc 879.79) (sims
"nearly $@.@ billion"	0.298032
"about $@.@@ billion"	0.284122
"about $@@.@ billion"	0.271562
"almost $@ billion"	0.264495
"over $@ billion"	0.254341
"nearly $@@ billion"	0.237416
"nearly $@@@ billion"	0.222263
"more than one billion yuan"	0.215433
"about $@@ billion"	0.209004
"about $@@@ billion"	0.197352
"almost $@@@ million"	0.195265
"nearly @@@ million yuan"	0.194302
"five billion yuan"	0.193874
"nearly $@@@ million"	0.193449
"nearly $@ billion"	0.191139
"about $@@.@ million"	0.186931
"about @@ billion yuan"	0.178038
"about @@@ million yuan"	0.177582
"about @@ billion dollars"	0.177523
"seven billion yuan"	0.175757
"more than @@@ million yuan"	0.173349
"nearly $@@"	0.171761
"almost $@@,@@@"	0.169386
"more than @@ billion dollars"	0.166751
"about $@ billion"	0.166452
"more than @@,@@@ yuan"	0.166016
"more than @@@ billion yuan"	0.164974
"more than @.@ billion dollars"	0.163886
"almost $@@ million"	0.161332
"one billion dollars"	0.160662
"about @ billion dollars"	0.160381
"over @@ million yuan"	0.160335
"hundred thousand dollars"	0.159791
"over $@@ billion"	0.159025
"Over @@@ Million Dollars"	0.155632
"more than @@@ million dollars"	0.154365
"about $@.@ billion"	0.153192
"about $@.@ trillion"	0.152337
"three billion yuan"	0.151983
"nearly @@ billion yuan"	0.151722
"over @@ billion yuan"	0.151055
"more than @.@ billion US dollars"	0.148993
"nearly $@"	0.148176
"nearly $@.@ million"	0.146757
"billion dollars"	0.145236
"six billion yuan"	0.145067
"over @@@ million yuan"	0.145021
"over $@@ million"	0.142697
"two billion yuan"	0.141085
"about $@@ million"	0.140405
"billion yuan"	0.140052
"about $@@@ million"	0.13951
"over @@@ billion yuan"	0.139298
"more than @@ billion US dollars"	0.138614
"about $@.@ million"	0.138318
"more than @@ billion yuan"	0.138098
"more than @@@,@@@ yuan"	0.135206
"nearly @.@ billion yuan"	0.134306
"about @.@ billion dollars"	0.134045
"four billion yuan"	0.132392
"more than @@ million yuan"	0.132323
"over $@@@ million"	0.132015
"over @.@ billion yuan"	0.131716
"nearly $@ million"	0.129316
"almost $@ million"	0.128652
"almost $@@@,@@@"	0.125063
"one billion US dollars"	0.124973
"over @@@ million US dollars"	0.124723
"nearly $@,@@@"	0.122846
"more than @ billion yuan"	0.12211
"over $@ million"	0.121639
"more than @.@ billion yuan"	0.120194
"three million yuan"	0.118692
"more than @@ million US dollars"	0.116661
"more than @@ million dollars"	0.114804
"a few million dollars"	0.112567
"one million US dollars"	0.112084
"nearly $@@ million"	0.110977
"RM@@@,@@@"	0.108224
"about $@.@@ million"	0.108024
"about @@.@ million dollars"	0.107285
"trillion dollars"	0.107106
"thousand dollars"	0.105135
"over $@@@,@@@"	0.102752
"two million yuan"	0.102313
"about $@ million"	0.100785
"one billion yuan"	0.100721
"hundred dollars"	0.100096
"a few hundred dollars"	0.0989211
"about $@"	0.0982716
"about $@@@,@@@"	0.0982311
"more than @@.@ billion yuan"	0.0981631
"small fortune"	0.0980354
"five million yuan"	0.0967504
"over @@ million tons"	0.0961314
"two billion US dollars"	0.0960813
"over $@@@"	0.095177
"nearly $@@@,@@@"	0.0946709
"about @@@ million dollars"	0.0945658
"about $@@,@@@"	0.093486
"more than @ billion dollars"	0.0930094
"million yuan"	0.0908239
"one penny"	0.0893161
"over $@,@@@"	0.0887435
"one million dollars"	0.087749
"million dollars"	0.0833632
"over @@ million US dollars"	0.0825727
"one million yuan"	0.0802324
"nearly $@@,@@@"	0.079849
"hundred million dollars"	0.0793205
one-seventh	0.0782576
"about @@ million dollars"	0.0769467
"about @@ million US Dollars"	0.076628
reais	0.0757525
pataca	0.0756954
"a few thousand dollars"	0.0732112
"about @@@,@@@ dollars"	0.0719931
"five million tons"	0.071673
"more than @@@ million US dollars"	0.0695056
"about @@@ million US dollars"	0.0686223
"solar cell"	0.0683629
"about @.@ billion US dollars"	0.0678206
"about four percent"	0.0676781
"Tanzania Shillings"	0.0673916
"Zimbabwe Dollars"	0.0660943
"another @@ million dollars"	0.065538
"less than @.@ percent"	0.0653297
"over $@@,@@@"	0.0652353
hryvnas	0.0649643
"over @,@@@ tons"	0.0627155
"more than one-fifth"	0.0617698
Bln	0.0617592
"Nairobi Stock Exchange"	0.0614686
"about @@@ points"	0.0613386
"more than @@ points"	0.0609311
"Kenya Shillings"	0.060749
"less than @"	0.0606533
ECU	0.0600487
"about one-tenth"	0.0600434
"controlling interest"	0.058485
birr	0.0581824
"over one third"	0.0576092
"Uganda Shillings"	0.056618
ECUs	0.056181
"non-performing loans"	0.0561208
"nearly one-third"	0.0554936
shekel	0.0551526
"more than one-fourth"	0.0550178
"seating area"	0.0546255
crore	0.0542879
"two meters"	0.0536028
"six billion"	0.0534888
"river bed"	0.0534358
"less than five percent"	0.0528412
korun	0.0525962
"catchment area"	0.0523617
"a few dollars"	0.052329
"about one-fifth"	0.0517935
"two billion"	0.0514347
"nearly @@ points"	0.0513227
"About @@.@ percent"	0.0512586
"nearly three"	0.0510077
octave	0.0506787
"about $@@.@@"	0.0506192
"water table"	0.0504983
"tropical rain forest"	0.0504204
"less than one percent"	0.0504056
"one cent"	0.0503308
"about @.@ billion"	0.0492868
"close to @@"	0.0490241
CRT	0.0488459
shivering	0.0485363
tenge	0.0484365
"more than three-fourths"	0.0483398
"about one percent"	0.048116
"five meters"	0.0478404
hryvna	0.0473441
"three million tons"	0.0471762
"about five percent"	0.0471737
"one sixth"	0.0470849
TAXES	0.0469906
"nearly @@@ points"	0.0468965
"about @@ pounds"	0.0462559
"about two percent"	0.0462426
dinar	0.0457738
"nearly @@ million"	0.0455907
"two kilometers"	0.0450593
Eappens	0.0448566
Juba	0.0448259
"About @@ per cent"	0.044757
"about $@.@@"	0.0445241
"about @@ degrees"	0.0443552
"first school"	0.0442367
"More than one third"	0.0442197
metical	0.0441675
"about @@,@@@ tons"	0.0438805
"strong force"	0.0438025
looseness	0.0436827
"six homers"	0.0436095
"a few inches"	0.0433081
))
("almost $@@ million" (desc 2819.06) (sims
"nearly @@@ million yuan"	0.255597
"more than @.@ billion yuan"	0.249371
"almost $@ million"	0.243814
"about @@@ million yuan"	0.240872
"nearly $@@@ million"	0.239893
"nearly $@@ million"	0.23883
"five billion yuan"	0.237809
"over $@@ million"	0.232526
"almost $@@@ million"	0.232092
"nearly $@.@ million"	0.231172
"over @@@ million yuan"	0.230959
"more than one billion yuan"	0.230833
"more than @.@ billion dollars"	0.228375
"more than @@@ million yuan"	0.224217
"over @@@ million US dollars"	0.222128
"nearly $@ million"	0.220801
"more than @@@ million dollars"	0.219786
"nearly @@ billion yuan"	0.216498
"more than @@@,@@@ yuan"	0.216367
"five million yuan"	0.215943
"two million yuan"	0.213654
"more than @@ million US dollars"	0.210238
"over $@@@ million"	0.208993
"nearly $@@,@@@"	0.205685
"over @@ billion yuan"	0.204937
"nearly $@.@ billion"	0.202976
"Over @@@ Million Dollars"	0.202688
"more than @@@ million US dollars"	0.200309
"more than @@ million yuan"	0.199581
"over $@ billion"	0.198553
"more than @ billion yuan"	0.197801
"one billion US dollars"	0.197554
"nearly $@ billion"	0.196515
"about $@.@ million"	0.194641
"over @@ million yuan"	0.194478
"more than @@ billion yuan"	0.194308
"about $@@ million"	0.192283
"about $@.@@ billion"	0.191924
"one million US dollars"	0.191654
"over $@ million"	0.190096
"six billion yuan"	0.189356
"about $@ million"	0.184722
"two billion yuan"	0.184233
"almost $@@,@@@"	0.183279
"nearly $@@@,@@@"	0.183186
"three billion yuan"	0.182798
"over @.@ billion yuan"	0.181867
"one billion yuan"	0.181129
"million yuan"	0.180709
"nearly @.@ billion yuan"	0.178518
"almost $@@@,@@@"	0.178308
"about $@.@@ million"	0.177746
"nearly $@@ billion"	0.177126
"over @@@ billion yuan"	0.176228
"more than @ billion dollars"	0.176065
"about $@@@,@@@"	0.175968
"more than @@ billion dollars"	0.173253
"about @@ billion yuan"	0.171597
"billion yuan"	0.170428
"more than @@@ billion yuan"	0.170128
"four billion yuan"	0.169888
"billion dollars"	0.168669
"about @@ million dollars"	0.166712
"about $@@.@ million"	0.166415
"one million yuan"	0.164577
"more than @@ million dollars"	0.164487
"almost $@@ billion"	0.161332
"about $@ billion"	0.160266
"about $@@@ million"	0.159806
"one million dollars"	0.158911
"more than @.@ billion US dollars"	0.157613
"million dollars"	0.156931
"thousand dollars"	0.156829
"about $@@@ billion"	0.154229
"a few million dollars"	0.153936
"three million yuan"	0.153845
"almost $@ billion"	0.153545
"hundred million dollars"	0.152025
"about @ billion dollars"	0.151559
"a few hundred dollars"	0.15072
"seven billion yuan"	0.149753
"about $@@ billion"	0.148105
"about @@ million US Dollars"	0.147426
"about $@.@ billion"	0.147188
"more than @@.@ billion yuan"	0.146491
"hundred thousand dollars"	0.146067
"about $@@,@@@"	0.143665
"over $@@@,@@@"	0.141269
"about @.@ billion dollars"	0.140167
"over @@ million US dollars"	0.138273
"more than @@,@@@ yuan"	0.136278
"more than @@ billion US dollars"	0.132151
"over $@@ billion"	0.132146
"small fortune"	0.129215
"about @@@ million dollars"	0.129185
"two billion US dollars"	0.127942
"a few thousand dollars"	0.123967
"nearly $@@@ billion"	0.123386
"nearly $@,@@@"	0.120622
"about @@ billion dollars"	0.120597
"one billion dollars"	0.11948
"hundred dollars"	0.11705
"about $@@.@ billion"	0.11451
"about @@@ million US dollars"	0.11435
"nearly $@@"	0.113508
"another @@ million dollars"	0.111723
"about $@,@@@"	0.10979
"RM@@@,@@@"	0.105812
"about $@@@"	0.105017
"about $@.@ trillion"	0.104973
"about $@"	0.0982792
"about @.@ billion US dollars"	0.0962752
"nearly $@"	0.0948778
billion	0.0943362
"a few dollars"	0.0911142
"sum of money"	0.0891793
"about @.@@ billion dollars"	0.0888288
"Tanzania Shillings"	0.0888068
"about @@@,@@@ dollars"	0.088559
"over $@@,@@@"	0.0882496
U.S.dollars	0.0833859
"about $@@"	0.0828913
"over $@,@@@"	0.0825902
"RM@,@@@"	0.0801486
"over $@@"	0.079997
"RM@@,@@@"	0.0799623
ECUs	0.0771553
"amount of money"	0.0763734
"U.S. Dollars"	0.0741626
"about @@.@ million dollars"	0.0740907
RM@@@	0.0718413
monies	0.0692034
penny	0.0690222
"Exchange Fund"	0.067642
"more than @.@ billion"	0.0658072
"over $@@@"	0.0650592
wage-earner	0.0649263
birr	0.0639946
ECU	0.0636137
VND	0.0634043
"one penny"	0.0632282
"ransom money"	0.0625442
"more than one million"	0.0624734
"Zimbabwe Dollars"	0.06231
pataca	0.0620166
euros	0.0610919
gob	0.0605223
"major-league team"	0.0597585
"Deutsche Mark"	0.0590272
crore	0.0576583
"about @@ points"	0.0574016
shekel	0.056948
TAXES	0.0567707
stumping	0.0565861
"two billion"	0.0561478
"about @.@ billion"	0.0557239
"one billion"	0.0556247
"about @.@ million dollars"	0.0551906
billions	0.0551338
korun	0.0545845
"billion over @@ years"	0.0544088
dime	0.0543044
mil	0.0539834
Mln	0.0535967
"about two percent"	0.0534478
"more than @@@ million"	0.0531315
Geiger	0.0530841
multiyear	0.0529386
"two cents"	0.0524928
"about $@@.@@"	0.0519865
dinar	0.0519842
"about @@ pounds"	0.0518881
"tax revenue"	0.0517951
one-seventh	0.0517773
"one cent"	0.0512537
"national income"	0.0509452
"more than @ billion"	0.0505727
"about @@@ points"	0.0505712
"more than @@ billion"	0.0503202
"speeding ticket"	0.0500001
"security clearance"	0.0499761
tenge	0.0499285
hryvna	0.0497849
hryvnas	0.0496778
trillion	0.0495675
cutback	0.0494969
"nearly @@@ points"	0.0491963
"Uganda Shillings"	0.0488966
kickback	0.0487138
"trillion dollars"	0.0484888
"disability benefit"	0.0482191
"non-performing loans"	0.048021
"legal age"	0.0478336
reais	0.0477342
metical	0.0475664
"about $@.@@"	0.0473905
"slush fund"	0.0472779
"insurance premium"	0.0471617
"over @@ million tons"	0.0464619
"blank check"	0.0464377
))
("almost $@@,@@@" (desc 1233.33) (sims
"more than @@@,@@@ yuan"	0.229554
"nearly $@@,@@@"	0.22895
"almost $@@@,@@@"	0.219929
"nearly $@@@,@@@"	0.217891
"more than @.@ billion dollars"	0.214608
"about $@.@@ million"	0.207895
"nearly $@.@ billion"	0.205186
"over $@@@,@@@"	0.205153
"almost $@@@ million"	0.199892
"nearly @@@ million yuan"	0.198084
"over @@@ million US dollars"	0.195158
"over $@ billion"	0.194676
"nearly $@ million"	0.191896
"over $@@@ million"	0.190049
"over $@@,@@@"	0.189069
"seven billion yuan"	0.188336
"more than @ billion yuan"	0.184371
"almost $@@ million"	0.183279
"nearly $@,@@@"	0.181857
"nearly $@@@ million"	0.181846
"about @@@ million yuan"	0.180827
"nearly $@.@ million"	0.180796
"almost $@ million"	0.177478
"more than @@@ million dollars"	0.177175
"hundred dollars"	0.17711
"about $@.@@ billion"	0.173082
"more than @@ million US dollars"	0.169931
"six billion yuan"	0.169586
"almost $@@ billion"	0.169386
"two million yuan"	0.169292
"about $@.@ million"	0.169133
"more than @@,@@@ yuan"	0.164106
"about $@,@@@"	0.163894
"about $@@,@@@"	0.163748
"more than @ billion dollars"	0.163747
"over @@@ million yuan"	0.162531
"over @@@ billion yuan"	0.162472
"about $@@@,@@@"	0.162091
"over @.@ billion yuan"	0.161896
"nearly $@@ million"	0.158748
"over $@ million"	0.157371
"a few hundred dollars"	0.156748
"Over @@@ Million Dollars"	0.156685
"over @@ billion yuan"	0.156003
"about $@@.@ million"	0.155957
"about $@@.@ billion"	0.15429
"more than @@@ billion yuan"	0.154189
"five billion yuan"	0.153775
"million yuan"	0.153269
"over $@,@@@"	0.152577
"a few million dollars"	0.152479
"three million yuan"	0.152293
"almost $@ billion"	0.151983
"one billion dollars"	0.150155
"over @@ million yuan"	0.150151
"more than @.@ billion yuan"	0.149056
"about $@ million"	0.148194
"more than @@@ million yuan"	0.147767
"about @ billion dollars"	0.146321
"nearly @@ billion yuan"	0.145722
"over @@ million US dollars"	0.145147
"about $@.@ billion"	0.14507
"about $@ billion"	0.144728
"more than @@ million dollars"	0.143684
"thousand dollars"	0.143146
"about $@@@ billion"	0.14305
"nearly $@@ billion"	0.140948
"billion dollars"	0.138161
"one billion US dollars"	0.137317
"five million yuan"	0.136143
"nearly $@ billion"	0.135445
"more than one billion yuan"	0.13534
"about @.@ billion dollars"	0.134872
"more than @@@ million US dollars"	0.134819
"about @@@ million US dollars"	0.134551
"four billion yuan"	0.134414
"about $@@@ million"	0.133184
"more than @.@ billion US dollars"	0.132972
"million dollars"	0.132776
"about @@@ million dollars"	0.132623
"about @@ million dollars"	0.132238
"nearly @.@ billion yuan"	0.132222
"about $@@ million"	0.1307
"three billion yuan"	0.129931
"more than @@ billion dollars"	0.129908
"another @@ million dollars"	0.12855
"about $@@ billion"	0.128138
"small fortune"	0.127085
"about $@@@"	0.126783
"hundred thousand dollars"	0.125626
"nearly $@@"	0.124482
"two billion yuan"	0.124275
"about @@ billion yuan"	0.124165
"over $@@@"	0.124145
"more than @@ million yuan"	0.12366
"about @@ million US Dollars"	0.121623
"one million dollars"	0.120452
"hundred million dollars"	0.120419
"nearly $@@@ billion"	0.120251
"two billion US dollars"	0.119171
"about @.@ billion US dollars"	0.119014
"about $@"	0.11756
"about @@ billion dollars"	0.117301
"a few thousand dollars"	0.115666
"more than @@.@ billion yuan"	0.115254
"more than @@ billion US dollars"	0.114811
"one billion yuan"	0.11333
RM@@@	0.110364
"over $@@"	0.109197
"about $@@"	0.106297
"about @@@,@@@ dollars"	0.103367
"Zimbabwe Dollars"	0.102533
"more than @@ billion yuan"	0.100922
"nearly $@"	0.100069
"one million yuan"	0.0986033
"one million US dollars"	0.0973892
"RM@@,@@@"	0.0972477
"about $@@.@@"	0.096756
hryvnas	0.0948575
"over $@@ million"	0.0933922
"RM@,@@@"	0.0925041
"RM@@@,@@@"	0.0876739
U.S.dollars	0.0861492
"about $@.@@"	0.0848384
"sum of money"	0.0840587
birr	0.0833268
"a few dollars"	0.0808564
VND	0.0773695
"billion yuan"	0.0767821
"Tanzania Shillings"	0.0754335
"about @@.@ million dollars"	0.0735627
"about @.@@ billion dollars"	0.0713564
shekel	0.0691237
"over $@@ billion"	0.0669171
ECU	0.066899
monies	0.0650583
pataca	0.0642888
"about @.@ million dollars"	0.0641387
crore	0.0637126
"up to @"	0.0621726
"trillion dollars"	0.0621283
M.A	0.062114
dime	0.0620758
RM@	0.0598469
pittance	0.0597485
"Uganda Shillings"	0.0595791
"speeding ticket"	0.0595377
"one penny"	0.0591944
ECUs	0.059191
"hush money"	0.0587581
wage-earner	0.0581145
RM@@	0.057051
"about one-tenth"	0.0568051
"about @@ pounds"	0.0551008
"less than one percent"	0.0550203
"about @@@ pounds"	0.0545484
"Deutsche Mark"	0.0541722
centavo	0.0539823
"one cent"	0.0539268
"sum total"	0.0538952
meticais	0.0528556
"distress signal"	0.0520587
"licensing fee"	0.0518626
"a few pounds"	0.0508476
"dry ice"	0.0506546
"less than @.@ percent"	0.0505302
"more than @@ yards"	0.0503243
"about $@.@ trillion"	0.0501306
"Twenty-five percent"	0.0499821
metical	0.049627
"nine yards"	0.049475
"up to @@@"	0.0493681
B.A	0.0493351
"more than @.@ percent"	0.0489039
"up to @.@ percent"	0.0488615
one-seventh	0.048824
knighthood	0.0487215
"wage earner"	0.0484204
RMB	0.0478728
"nearly @@ points"	0.0477786
"about three-quarters"	0.0477731
effluent	0.0476916
USD	0.0476701
"form letter"	0.0476222
reais	0.0475177
"death benefit"	0.0474323
"about three percent"	0.0466679
"six billion"	0.0465927
RM@@.@@	0.0464355
"three match points"	0.046264
"more than @@@ pounds"	0.0457887
"tax income"	0.0457154
nanograms	0.0457084
"great deal"	0.0454219
"about one percent"	0.0453111
"annual payment"	0.0448107
millisecond	0.0445152
one-tenth	0.0444242
"ransom money"	0.044095
Ph.D.s	0.0440199
))
("almost $@@@ million" (desc 1474.78) (sims
"over $@@@ million"	0.282461
"nearly @@@ million yuan"	0.272904
"almost $@ billion"	0.262188
"over $@ billion"	0.259176
"a few million dollars"	0.253259
"about $@.@@ billion"	0.246361
"nearly $@@@ million"	0.241159
"over @@@ billion yuan"	0.23558
"more than one billion yuan"	0.235044
"nearly $@.@ billion"	0.232553
"almost $@@ million"	0.232092
"more than @ billion yuan"	0.221562
"over @.@ billion yuan"	0.221435
"nearly @.@ billion yuan"	0.220482
"about @@@ million yuan"	0.220165
"more than @@ million yuan"	0.218484
"more than @.@ billion yuan"	0.21559
"million yuan"	0.214325
"almost $@@@,@@@"	0.212539
"nearly $@@ billion"	0.211163
"over @@ million yuan"	0.210599
"nearly $@.@ million"	0.210267
"more than @@@ million yuan"	0.209875
"over @@@ million yuan"	0.208448
"nearly @@ billion yuan"	0.207216
"almost $@@,@@@"	0.199892
"nearly $@ billion"	0.199403
"over @@ billion yuan"	0.198854
"almost $@ million"	0.198271
"more than @@ million dollars"	0.197471
"two million yuan"	0.1953
"almost $@@ billion"	0.195265
"more than @@@ million dollars"	0.194453
"over @@@ million US dollars"	0.193661
"three billion yuan"	0.190036
"more than @ billion dollars"	0.189968
"about $@@.@ billion"	0.188777
"five billion yuan"	0.187021
"nearly $@@ million"	0.181814
"more than @@@ million US dollars"	0.180577
"about $@@.@ million"	0.180445
"two billion yuan"	0.178621
"hundred thousand dollars"	0.178611
"seven billion yuan"	0.178494
"six billion yuan"	0.177344
"more than @@ million US dollars"	0.175712
"one billion yuan"	0.169711
"hundred million dollars"	0.169128
"billion yuan"	0.166974
"about $@ million"	0.166769
"nearly $@ million"	0.165769
"one billion US dollars"	0.165097
"one million US dollars"	0.164304
"more than @@.@ billion yuan"	0.164285
"over $@@@,@@@"	0.163628
"more than @@@,@@@ yuan"	0.163607
"more than @.@ billion dollars"	0.163266
"over $@@ million"	0.162977
"about $@@@ billion"	0.162899
"about $@@@ million"	0.160899
"billion dollars"	0.160884
"about @@@ million US dollars"	0.159791
"about $@ billion"	0.157721
"one million yuan"	0.157131
"about $@@ million"	0.156868
"three million yuan"	0.156272
"more than @@@ billion yuan"	0.155971
"about @@ million dollars"	0.155492
"five million yuan"	0.154331
"about @.@ billion dollars"	0.154149
"four billion yuan"	0.153707
"nearly $@@@,@@@"	0.153522
"over $@@ billion"	0.15291
"about $@.@ million"	0.152102
"Over @@@ Million Dollars"	0.151035
"about $@@@,@@@"	0.148303
"about $@.@ billion"	0.148192
"more than @@ billion yuan"	0.14782
"thousand dollars"	0.146778
"million dollars"	0.146483
"nearly $@@"	0.146297
"more than @@ billion US dollars"	0.145797
"nearly $@,@@@"	0.143942
"over $@ million"	0.141958
"a few thousand dollars"	0.137769
"two billion US dollars"	0.136348
"about @ billion dollars"	0.136086
"about @@ billion yuan"	0.135502
"one million dollars"	0.135488
"about @@ million US Dollars"	0.135267
"about @@@ million dollars"	0.133643
"about $@@ billion"	0.131795
"more than @@,@@@ yuan"	0.13164
"nearly $@@,@@@"	0.130196
"more than @@ billion dollars"	0.129648
"nearly $@@@ billion"	0.127631
"one billion dollars"	0.12441
"about $@.@@ million"	0.124105
"about $@@,@@@"	0.120895
"over $@@@"	0.119068
"nearly $@"	0.1172
"over @@ million US dollars"	0.116012
"more than @.@ billion US dollars"	0.115972
"hundred dollars"	0.110184
"about $@,@@@"	0.1055
"about @@ billion dollars"	0.105366
"a few hundred dollars"	0.103422
"over $@@,@@@"	0.101241
"about $@@@"	0.100701
"about $@"	0.0998255
"small fortune"	0.0993092
"another @@ million dollars"	0.0988711
billion	0.0947774
"sum of money"	0.0922945
"about @.@@ billion dollars"	0.0915604
"about $@.@ trillion"	0.09129
"about @@@,@@@ dollars"	0.0891437
"RM@@@,@@@"	0.0840193
"Uganda Shillings"	0.0826964
"about @.@ billion US dollars"	0.0819103
"over $@,@@@"	0.0816516
U.S.dollars	0.0787528
"about $@@"	0.0783956
"two fingers"	0.0762174
RM@@@	0.0729638
"RM@@,@@@"	0.0724606
"trillion dollars"	0.0711329
"Tanzania Shillings"	0.0708484
tenge	0.0693831
"one penny"	0.0687766
"amount of money"	0.0677564
pataca	0.0670726
"a few dollars"	0.0665659
metical	0.0662439
"over $@@"	0.0661037
"about @@.@ million dollars"	0.064501
trillion	0.0643712
wage-earner	0.0632647
crore	0.0632254
shekel	0.0609301
"Zimbabwe Dollars"	0.0608678
"three match points"	0.0599816
monies	0.0595056
"RM@,@@@"	0.0583946
"ransom money"	0.0581327
"Deutsche Mark"	0.0576739
"about @@@ million"	0.0573384
"Mars Climate Orbiter"	0.0573263
franc	0.0566553
hryvna	0.0561182
reais	0.0556178
"over @@@ points"	0.0539552
"Opium War"	0.0534125
"key rate"	0.0528089
birr	0.0521408
"four sacks"	0.0516769
"debt service"	0.051521
"tax change"	0.0512775
"Hurricane Hugo"	0.0505196
"break of serve"	0.0502182
"Garrison Hearst"	0.0499141
wherewithal	0.0487883
minus-@@	0.0484973
ECUs	0.0479907
"Social Security benefit"	0.0477656
BNFL	0.0475649
"three pitchers"	0.0475431
dime	0.0471689
"Hurricane Andrew"	0.0471319
Ph.D.s	0.0469584
"secret plan"	0.046771
"goose bumps"	0.0467319
"nearly @@@,@@@"	0.0467297
"another @"	0.0466525
"Bank of Canada"	0.0464929
"nearly one-third"	0.0464742
Hackensack	0.0464141
"more than @@ million tons"	0.0463681
"one dollar"	0.0460247
KUNA	0.0459189
"John Connally"	0.0458518
"junk bond"	0.0456856
"carte blanche"	0.0456444
ECU	0.0456111
RM@@.@@	0.0452986
zillion	0.0450876
weightings	0.0448337
"electrical power"	0.0447562
deductibles	0.0447295
oodles	0.0447258
"Suez Canal"	0.0446688
"about @.@ million tons"	0.0446008
gob	0.0442871
virginity	0.0442697
"up to @.@ percent"	0.0442165
"insurance premium"	0.0441484
tagline	0.0439224
"money fund"	0.0438919
"International AIDS Conference"	0.0437022
surtax	0.0436636
))
("almost $@@@,@@@" (desc 1850.12) (sims
"more than @@@,@@@ yuan"	0.239128
"almost $@ million"	0.225214
"almost $@@,@@@"	0.219929
"nearly $@.@ million"	0.219718
"almost $@@@ million"	0.212539
"nearly @@@ million yuan"	0.212318
"nearly $@ million"	0.194541
"over @@ million yuan"	0.191011
"nearly $@@@,@@@"	0.190618
"nearly $@@,@@@"	0.186669
"about $@.@@ million"	0.181614
"about @@@ million yuan"	0.18036
"over $@@@,@@@"	0.17977
"almost $@@ million"	0.178308
"three million yuan"	0.17636
"nearly $@,@@@"	0.171791
"more than @@@ million yuan"	0.171023
"about $@.@@ billion"	0.165352
"more than @@ million yuan"	0.165245
"one million yuan"	0.161789
"more than @@@ million US dollars"	0.160006
"nearly $@@@ million"	0.158309
"million yuan"	0.155001
"hundred thousand dollars"	0.153722
"more than @.@ billion yuan"	0.151672
"a few million dollars"	0.151511
"about $@@.@ million"	0.151287
"more than @@,@@@ yuan"	0.151069
"million dollars"	0.14877
"over @@@ million yuan"	0.148172
"about $@ million"	0.147008
"over $@@@ million"	0.146264
"over $@ billion"	0.145301
"about $@.@ million"	0.144611
"over $@ million"	0.142545
"nearly $@@ million"	0.142161
"one million US dollars"	0.140472
"about $@@@,@@@"	0.139986
"five million yuan"	0.13964
"one million dollars"	0.138017
"over @@@ billion yuan"	0.137675
"more than @@ million dollars"	0.136982
"over $@@,@@@"	0.135161
"about $@@,@@@"	0.13516
"more than one billion yuan"	0.13509
"a few thousand dollars"	0.134525
"almost $@ billion"	0.13107
"nearly $@.@ billion"	0.130899
"two million yuan"	0.129794
"nearly $@"	0.129025
"over @@ billion yuan"	0.128282
"hundred million dollars"	0.127832
"nearly @.@ billion yuan"	0.126981
"four billion yuan"	0.126129
"almost $@@ billion"	0.125063
"over $@@ million"	0.124456
"thousand dollars"	0.12396
"billion dollars"	0.122444
"nearly $@@ billion"	0.121355
"about $@@ million"	0.120164
"nearly @@ billion yuan"	0.119081
"one billion US dollars"	0.117524
"about $@,@@@"	0.114164
"two billion yuan"	0.113767
"about @ billion dollars"	0.112738
"five billion yuan"	0.112707
"more than @@ billion dollars"	0.112651
"about @@ million dollars"	0.112299
"more than @.@ billion dollars"	0.111735
"hundred dollars"	0.111659
"nearly $@ billion"	0.111157
"more than @@.@ billion yuan"	0.111019
"over @@@ million US dollars"	0.110694
"nearly $@@"	0.109781
"more than @ billion dollars"	0.109485
"about @@ billion yuan"	0.109176
"more than @@@ billion yuan"	0.109022
"small fortune"	0.107355
"about @@ million US Dollars"	0.107036
"more than @@ billion yuan"	0.106805
"Over @@@ Million Dollars"	0.1053
"about $@@@ billion"	0.104522
"six billion yuan"	0.103109
"about $@.@ billion"	0.102537
"about @@@ million US dollars"	0.10229
"over @.@ billion yuan"	0.102149
"about $@@.@ billion"	0.101548
"more than @@ billion US dollars"	0.100932
"more than @@ million US dollars"	0.100788
"a few hundred dollars"	0.0998565
"about $@ billion"	0.0991558
"nearly $@@@ billion"	0.0987007
"about @@ billion dollars"	0.097923
"more than @ billion yuan"	0.0978955
"RM@@,@@@"	0.0978068
"about @@@ million dollars"	0.0974841
"three billion yuan"	0.0970524
"about @.@@ billion dollars"	0.0959971
"sum of money"	0.0954291
"more than @@@ million dollars"	0.0945419
"about $@@@ million"	0.0934112
"about $@.@ trillion"	0.092079
"one billion yuan"	0.0918074
"about $@@ billion"	0.0909777
"about @@@,@@@ dollars"	0.0903393
"about @@.@ million dollars"	0.0885275
"a few dollars"	0.0846179
"ransom money"	0.0840125
"one billion dollars"	0.0832585
"seven billion yuan"	0.0830399
"over $@,@@@"	0.0814253
"over $@@@"	0.080133
"about @.@ billion dollars"	0.0800524
"another @@ million dollars"	0.0795804
"billion yuan"	0.0786302
"more than @@ yards"	0.0779769
"about $@@@"	0.07795
"over @@ million US dollars"	0.0764544
"about $@"	0.0761927
"one penny"	0.0756409
RM@@@	0.0740781
monies	0.073915
"RM@@@,@@@"	0.0719973
"two billion US dollars"	0.0717159
"about @.@ million dollars"	0.0716005
"over $@@ billion"	0.0708853
"amount of money"	0.069069
"about $@@"	0.0681787
"trillion dollars"	0.0668495
"trade secret"	0.0662013
"more than @.@ billion US dollars"	0.0650468
"about $@@.@@"	0.0645119
"Tanzania Shillings"	0.0644426
"cash bonus"	0.0637037
"raw data"	0.0631354
"nearly @@ points"	0.0619553
statuette	0.0602833
U.S.dollars	0.0598459
"Zimbabwe Dollars"	0.0597863
"about $@.@@"	0.0592583
ECU	0.057486
crore	0.0569034
"bus fare"	0.0561593
"three match points"	0.0549455
birr	0.0547177
"over $@@"	0.0539593
pittance	0.0533743
dime	0.0531388
O'Hair	0.0528157
shekel	0.0527787
"user fee"	0.0525984
"more than @@@ tons"	0.0518565
"RM@,@@@"	0.0515286
"one dollar"	0.0512897
knighthood	0.0512054
"about @@ points"	0.0511951
VND	0.0509367
"about @@@ tons"	0.0505192
pataca	0.0502754
"order form"	0.0498956
franc	0.0498372
"Bronze Star"	0.0491289
"currency unit"	0.048758
"speeding ticket"	0.0485924
"Uganda Shillings"	0.0484239
"over @@@ points"	0.0483744
Nickel	0.0483631
"disability payment"	0.0482113
"legal fee"	0.0481384
"legal age"	0.0480679
"up to @"	0.0477314
"less than @.@ percent"	0.0475638
"about @.@ billion US dollars"	0.0473359
M.A	0.0467331
"about @.@ billion"	0.0466675
"telephone bill"	0.0465467
zillion	0.0464963
"nine yards"	0.0462491
"Deutsche Mark"	0.0462448
gob	0.0462208
"about @.@@ percent"	0.0458047
"miles per gallon"	0.0457727
Groscost	0.0457435
"baseball card"	0.0455532
inheritance	0.0455439
wage-earner	0.0454784
"million over five years"	0.0454181
USD	0.0454047
"up to @.@ percent"	0.0450648
"about @@@ pounds"	0.0448961
alimony	0.044664
falloff	0.0445399
"about @@@ million"	0.0439149
TAXES	0.0437762
"goose bumps"	0.0437587
stipend	0.043568
ECUs	0.0431904
Gores	0.0430978
"more than @@ points"	0.04299
"roughly @@"	0.0429103
))
("almost @" (desc 2617.32) (sims
"nearly @"	0.302129
"more than @"	0.279158
"almost @@"	0.226807
"up to @"	0.186007
"nearly @@"	0.185288
"over @"	0.176628
"about two percent"	0.167413
"less than @"	0.157054
"close to @@"	0.145906
"about @.@"	0.145389
"roughly @@"	0.144781
"more than @.@ percent"	0.139442
"almost two"	0.132568
"about @.@ percent"	0.128987
"another @"	0.120666
"more than seven"	0.119776
"more than eight"	0.119052
"more than six"	0.116743
"about @"	0.110421
"three percent"	0.106929
"more than five"	0.106928
"nearly four"	0.104702
"about nine"	0.103879
"nine percent"	0.100419
"about @ percent"	0.10016
"ten percent"	0.0998406
"Nearly two"	0.0996278
"seven percent"	0.0971586
"nearly three"	0.0961248
"six percent"	0.0960486
"over six"	0.0950793
"about five percent"	0.0931962
"two percent"	0.0926568
"one percent"	0.0924854
"less than @@"	0.091993
"four percent"	0.0917896
"more than four"	0.0917492
"eight percent"	0.0916981
"over @@ points"	0.0914814
"up to @@"	0.090233
"about eight"	0.084738
"four to five"	0.0838122
"five to @@"	0.0812158
"almost @@@"	0.0812065
"about five"	0.0804636
"nearly @@ points"	0.0801445
"less than @.@ percent"	0.0785274
"about four"	0.0772485
"about @@ to @@"	0.0768579
"two to three"	0.0767315
"more than three"	0.0758261
"five percent"	0.0741088
"about seven"	0.073737
"about @@@ points"	0.073457
"less than two"	0.0720432
"over @@@@"	0.0719354
centavo	0.07192
"about six"	0.0713327
"basis point"	0.0701271
"about three"	0.0697912
"up to three"	0.0686534
"about three percent"	0.0673683
"about four percent"	0.0671921
"less than one percent"	0.0662514
year-on-year	0.0662507
"Less than one"	0.0660453
"about @.@@"	0.0659179
one-half	0.0643446
"More than two"	0.0616609
"over @@@ points"	0.0615218
"about two"	0.0612034
"up to six"	0.0610595
"over five"	0.0610577
"nearly one"	0.0599014
"less than five"	0.0593837
"three to four"	0.0591015
"More than @.@ million"	0.059067
"over four"	0.0589064
percent	0.0584325
"one dollar"	0.0568605
one-quarter	0.0552439
"about @.@ billion"	0.0547174
"about @.@@ percent"	0.0545982
"up to five"	0.0545548
"less than @@@"	0.0541998
"up to seven"	0.0540239
"up to @@ million"	0.053925
"More than nine"	0.0536826
"About @@.@ percent"	0.0534905
pfennig	0.0529885
"retail price index"	0.0529771
"another seven"	0.0528047
"more than @@ points"	0.0515334
"more than @@ billion yuan"	0.0511815
"over seven"	0.0511027
"seven to @@"	0.050722
one-fifth	0.0500464
"three to five"	0.0498573
"more than @@@ points"	0.049798
"almost @@@,@@@"	0.0493586
"two to four"	0.0493045
"more than @@ yards"	0.0491109
"More than one third"	0.0490493
"up to @@@"	0.0486895
"up to four"	0.0485682
"up to two"	0.0484781
"less than @,@@@"	0.0483162
"first @"	0.0473615
"nearly @@,@@@"	0.0473368
"almost one"	0.0472826
"important person"	0.047145
"another six"	0.0469674
"about @@ million"	0.0468723
"About @ billion"	0.0463089
"over @ million"	0.0459104
"up to eight"	0.0457917
"three million"	0.0451528
"more than @ million"	0.04497
"three inches"	0.0449497
"about @@-@@"	0.044713
"up to @ million"	0.0446531
"eight to @@"	0.0442005
bpd	0.044121
"More than two-thirds"	0.0439769
"About @@ per cent"	0.0438239
"Nearly @.@ million"	0.0432436
"previous five years"	0.0428372
"One Million"	0.0428177
"nearly two-thirds"	0.0427373
"roughly @@@"	0.0424648
"about @.@ million"	0.0422424
"roughly one"	0.0422403
"six million"	0.0420428
"more than @@@ million"	0.0417951
PPI	0.041692
"nearly @@@ points"	0.0410247
))
("almost @ million" (desc 1285.11) (sims
"nearly @ million"	0.285604
"almost @@@,@@@"	0.28505
"nearly one million"	0.280805
"up to @ million"	0.275305
"over @.@ million"	0.271015
"almost @@ million"	0.25377
"More than three million"	0.249692
"More than two million"	0.249662
"more than @.@@ million"	0.236113
"more than @ million"	0.234023
"up to @@@,@@@"	0.233512
"More than @.@ million"	0.230294
"About three million"	0.227176
"Over one million"	0.222907
"nearly @@ million"	0.21764
"Over two million"	0.217228
"Seven million"	0.216393
"nearly @@@,@@@"	0.214512
"more than one million"	0.211469
"Nearly @.@ million"	0.208818
"roughly @@,@@@"	0.206984
"eight million"	0.203163
"About one million"	0.202005
"up to @,@@@"	0.200062
"over @ million"	0.197497
"close to @,@@@"	0.194067
"roughly @@@,@@@"	0.190833
"another @@,@@@"	0.188375
"close to @@,@@@"	0.188102
"almost @@,@@@"	0.186611
"over @@@,@@@"	0.183803
"more than four million"	0.183475
"up to @@ million"	0.180166
"About two million"	0.177794
"about @ million"	0.176956
"another @@@,@@@"	0.175207
"two million"	0.175046
"more than @@@,@@@"	0.174728
"roughly @,@@@"	0.173994
"up to @@,@@@"	0.172746
"more than @@ million"	0.171122
"more than @@@ million"	0.167607
"another @.@ million"	0.167392
"five million"	0.167194
"ten thousand"	0.164047
"over @@ million"	0.162372
"three million"	0.15876
"Four million"	0.154382
"About @.@@ million"	0.154244
"about @@ million"	0.15301
"up to two"	0.152994
"six million"	0.148901
"over @@,@@@"	0.148736
"One Million"	0.148465
"about @@@,@@@"	0.148311
"about @.@ million"	0.147881
"about @@,@@@"	0.144312
"over @.@@ million"	0.144173
"another @ million"	0.142232
"nearly @@,@@@"	0.140725
Thirty-nine	0.137825
"more than @@,@@@"	0.136734
"Three hundred"	0.130134
"less than @@,@@@"	0.126306
"Around @@@"	0.125572
"almost @,@@@"	0.125298
"first @@@"	0.123172
"about @@.@ million"	0.123043
"more than @.@ billion"	0.119675
"up to six"	0.118793
"nearly @@@ million"	0.117461
"over @,@@@"	0.117098
"about @@@ to @@@"	0.114033
"six to eight"	0.112295
"five to @@"	0.111768
"nearly @,@@@"	0.110762
"over @@@ million"	0.110306
"roughly @@@"	0.108897
"Another @,@@@"	0.107633
"nine million"	0.107432
"six to @@"	0.106951
"less than @@@"	0.10571
"Another @@@"	0.104329
"Another @@ million"	0.102873
"more than @,@@@"	0.102594
Forty-five	0.101655
"About @,@@@"	0.0986463
Thirty-one	0.0962702
non-Hispanic	0.0945174
Thirty-two	0.0933691
"more than @@@@"	0.0930311
"more than @ billion"	0.0929703
Thirty-six	0.0929142
Thirty-five	0.0919343
"up to @@@"	0.0917081
"Two hundred"	0.0913009
forty	0.0907806
"nearly @@@"	0.0883946
"up to eight"	0.088345
"about @@@ million"	0.0874733
"up to three"	0.0873923
Forty-four	0.0861706
non-Jewish	0.0858597
"A few key"	0.0850915
"up to four"	0.0834228
"turning away"	0.0832553
health-conscious	0.0829344
"less than @,@@@"	0.0828709
"almost @@@"	0.0828504
"another nine"	0.0826907
over-@@	0.0821935
"more than five"	0.0818596
"six billion"	0.0809724
Thirty-eight	0.0799167
"close to @@"	0.0797181
Eighteen	0.0785742
"close to @@@"	0.0785329
"up to seven"	0.0777182
Forty-two	0.0765757
"three to five"	0.0765515
Sixteen	0.075745
"more than four"	0.075639
"two dozen"	0.0739334
Kosovar	0.0738882
non-Muslim	0.0737174
"two to four"	0.0733002
"up to @@"	0.0721347
"Around @@"	0.0716631
Thirty-four	0.0714538
"South Vietnamese"	0.0712042
"Other @@"	0.0705811
Downstate	0.07049
"about @@ to @@"	0.0701093
AGL	0.0700195
Fifty	0.0698882
"another six"	0.069626
"About @ billion"	0.0693561
Ibo	0.0691292
Thirteen	0.0688486
"four to five"	0.0686176
"another five"	0.0683893
"about six"	0.0681972
"Kosovar Albanian"	0.0675376
"eight to @@"	0.0675053
"about @@-@@"	0.0672119
first-time	0.0666091
eighty	0.0662604
Fifteen	0.0657083
Nineteen	0.0655983
preteen	0.0647581
"other @@@"	0.0640748
"about eight"	0.064048
Hmong	0.0640355
"more than seven"	0.0638015
"Nearly two"	0.0634872
seventeen	0.0634728
"more than ten"	0.0629107
Thirty	0.0627133
Okinawan	0.0620998
non-Indian	0.062038
Rwandese	0.0620061
"roughly @@"	0.0618984
"about seven"	0.0617974
Twelve	0.0616613
Forty-seven	0.0610245
Maasai	0.0606038
"two to three"	0.0600467
sixty	0.0596034
"more than six"	0.0583136
ephedra	0.0580919
Azerbaijani	0.0577028
"more than eight"	0.0571036
Mexican-American	0.0569235
"another @@@ million"	0.0566181
"about three"	0.0564721
"about two"	0.0562675
"Orthodox Jewish"	0.0562454
"up to five"	0.0558095
"half a dozen"	0.0550445
"Time Warner Cable"	0.0548442
Thirty-three	0.0535277
nonwhite	0.0533774
"three to four"	0.0533461
"personal business"	0.0532497
Camerounian	0.0526702
"four to six"	0.0525754
Asian-American	0.0524762
Stratus	0.0521378
"more than three"	0.0514837
"African American"	0.0505446
Gurkha	0.0503671
Ingush	0.0501231
"grammar school"	0.0501228
small-business	0.0497877
Jing	0.0494314
slain	0.0493727
Uzbek	0.0493687
pro-western	0.0483146
"about @.@ billion"	0.04811
"electoral college"	0.0475501
))
("almost @,@@@" (desc 3061.98) (sims
"nearly @,@@@"	0.259601
"nearly @@,@@@"	0.225072
"over @,@@@"	0.218036
"up to @,@@@"	0.21686
"nearly @@@,@@@"	0.207473
"almost @@,@@@"	0.20585
"roughly @,@@@"	0.196977
"more than @,@@@"	0.193963
"over @@,@@@"	0.193287
"almost @@@"	0.192485
"more than @@,@@@"	0.190016
"over @@@,@@@"	0.189358
"about @@,@@@"	0.185688
"close to @@,@@@"	0.184842
"nearly @@@"	0.182113
"About @,@@@"	0.181705
"up to @@,@@@"	0.171311
"nearly @ million"	0.170993
"more than @ million"	0.168492
"more than @@@,@@@"	0.167974
"about @@@"	0.165258
"more than @@@"	0.165036
"Another @,@@@"	0.162254
"over @@@"	0.16147
"More than @.@ million"	0.161394
"Over one million"	0.159845
"another @@@,@@@"	0.15947
"more than one million"	0.158957
"almost @@@,@@@"	0.158883
"roughly @@,@@@"	0.158522
"close to @,@@@"	0.15676
"about @ million"	0.155009
"about @@@,@@@"	0.153302
"about @@@ to @@@"	0.150434
"over @.@ million"	0.150394
"more than @@ million"	0.148953
"roughly @@@"	0.148908
"roughly @@@,@@@"	0.147959
"first @@@"	0.146868
"over @ million"	0.145874
"another @@,@@@"	0.145638
"up to @@@"	0.14491
"nearly one million"	0.144239
"less than @@,@@@"	0.142236
"less than @@@"	0.142012
"ten thousand"	0.141917
"over @@ million"	0.141792
"six million"	0.139472
"less than @,@@@"	0.139295
"Another @@@"	0.13905
"nearly @@ million"	0.138321
"More than three million"	0.136777
"Two hundred"	0.135841
"about @.@ million"	0.135308
"up to @@@,@@@"	0.132945
"more than @@@ million"	0.132667
"three million"	0.131594
"almost @@ million"	0.131542
"One Million"	0.129379
"Four million"	0.12868
"About one million"	0.127158
"Nearly @.@ million"	0.126182
"Over two million"	0.12543
"almost @ million"	0.125298
"five million"	0.125161
"about @@"	0.124025
"two million"	0.122678
Twelve	0.121805
"about @@ million"	0.120953
"Seven million"	0.120925
"Around @@@"	0.119033
"another @@"	0.118524
"eight million"	0.118092
"another @ million"	0.115328
Thirty-five	0.114726
"Three hundred"	0.113528
forty	0.113297
"another nine"	0.112616
Sixteen	0.110201
"over @.@@ million"	0.109905
"up to @ million"	0.109749
"About three million"	0.10914
"About two million"	0.109053
"more than @@@@"	0.107768
Thirteen	0.10728
"another three"	0.105818
"more than @.@@ million"	0.105483
Thirty-eight	0.104602
"about @@.@ million"	0.104314
"More than two million"	0.10401
"more than @@"	0.103901
"other @@@"	0.103817
"another six"	0.103317
"more than four million"	0.101824
"more than @.@ billion"	0.100361
Thirty	0.100336
Thirty-six	0.100193
Nineteen	0.0996241
"nine million"	0.0992353
Fifteen	0.0983241
"about eight"	0.0977326
"about four"	0.0963149
"about six"	0.0953414
"more than eight"	0.0945048
"up to @@"	0.0940563
Thirty-nine	0.0939014
"Another @@ million"	0.0936386
"five to @@"	0.0931641
"over @@@ million"	0.0930421
Eighteen	0.0928896
"up to six"	0.0927835
twenty	0.0919075
"two dozen"	0.0918934
"roughly @@"	0.0917168
Fifty	0.0899112
"About @.@@ million"	0.0897051
Eleven	0.0896986
"nearly @@@ million"	0.0895953
"another seven"	0.0889744
"close to @@@"	0.0889011
"up to @@ million"	0.0879798
"another @.@ million"	0.087545
eighty	0.0872356
Kurd	0.0871203
"four to five"	0.0870395
"Around @@"	0.0868934
"over @@"	0.0860013
"about seven"	0.0853422
"about @@@ million"	0.0852992
sixty	0.083466
"more than six"	0.0830848
Fourteen	0.0822778
"about five"	0.08176
"Kosovar Albanian"	0.0813569
"About @ billion"	0.0809951
"up to three"	0.0807997
"More than two"	0.0807041
"about three"	0.0801609
"up to seven"	0.0800051
"six to @@"	0.0792584
"more than five"	0.0781225
"about two"	0.0778606
"nearly @@"	0.0775569
"more than seven"	0.077452
"six billion"	0.0767347
seventy	0.0766727
"half a dozen"	0.0766087
Korean-American	0.0764281
"other six"	0.0760351
"another five"	0.0758855
Thirty-four	0.0758522
"mentally retarded"	0.0748031
Forty-seven	0.0743694
"Other @@"	0.0739485
"more than three"	0.0739399
"another four"	0.0736049
"close to @@"	0.0734893
"up to eight"	0.0732654
"up to two"	0.0732613
"about @.@ billion"	0.0731599
"Another eight"	0.0728013
"African American"	0.0723839
"Nearly two"	0.0723723
"less than five"	0.0709599
Forty-four	0.0707433
"fourth generation"	0.0699383
"Bosnian Muslim"	0.069763
non-Indian	0.0696033
seventeen	0.0695728
Thirty-one	0.0691741
"almost two"	0.0687263
"Ethnic Albanian"	0.0682895
"almost @@"	0.0676607
Sinhala	0.0672325
"one billion"	0.0670843
Younger	0.0668715
"about @@ to @@"	0.0654089
"turning away"	0.0652882
"South Vietnamese"	0.0643801
Forty-two	0.0636834
"up to five"	0.0626362
"two to three"	0.0624692
Thirty-two	0.0624448
"six to eight"	0.062412
Camerounian	0.0622125
non-Jewish	0.0619968
"two billion"	0.0616387
"two to four"	0.0616261
"another @"	0.0608224
Anglo	0.0607355
"other seven"	0.0606515
slain	0.0603251
"More than nine"	0.0602299
"more than @ billion"	0.0593878
twenty-eight	0.059273
"more than @@ billion"	0.0584495
nonwhite	0.0583081
"one hundred"	0.0580777
"three to four"	0.0580091
"Greek Cypriot"	0.0579234
))
("almost @@" (desc 9755.71) (sims
"nearly @@"	0.318494
"nearly @"	0.233048
"almost @"	0.226807
"roughly @@"	0.224998
"more than @@"	0.22136
"more than @"	0.216154
"about @ percent"	0.15517
"almost @@@"	0.154247
"close to @@"	0.149579
"about @.@ percent"	0.148203
"less than @"	0.147027
"about @@ percent"	0.139503
"over @@"	0.138263
"up to @@"	0.13706
"nearly @@@"	0.135376
"less than @@"	0.133423
"six percent"	0.132487
"eight percent"	0.131563
"four percent"	0.128612
"three percent"	0.126876
"nine percent"	0.126851
"five percent"	0.125907
"about @@ to @@"	0.124
"one percent"	0.122219
"seven percent"	0.119582
"more than @@@"	0.119314
"about @@"	0.117374
"two percent"	0.116821
"up to @"	0.109483
"over @@@"	0.108908
"over @"	0.108165
"about @@,@@@"	0.107758
"about two percent"	0.107748
"About @,@@@"	0.106209
"over @@@@"	0.102435
"more than eight"	0.10135
"More than @.@ million"	0.100966
"ten percent"	0.100866
"percentage point"	0.100595
"over @@ points"	0.0996515
"more than five"	0.0996333
"more than @,@@@"	0.0981891
"more than @.@ percent"	0.0981861
"about @@@,@@@"	0.0964354
"more than @ million"	0.0931006
"almost two"	0.0920753
"up to @@@"	0.0904575
"about @"	0.0903893
"nearly @@,@@@"	0.0903354
"nearly @@ points"	0.0902473
"more than @@,@@@"	0.0889774
"about @@@"	0.0888152
"More than one third"	0.0867452
"one third"	0.0866207
"more than @@ million"	0.0864869
"more than @@@,@@@"	0.0863815
"less than @.@ percent"	0.0863604
"almost @@@,@@@"	0.0855794
"over @,@@@"	0.0854726
"less than @@@"	0.0853298
year-on-year	0.0850519
one-third	0.0850435
"two to three"	0.0849282
bpd	0.0846993
"about five percent"	0.0842593
"more than @@@ points"	0.083306
"about five"	0.0829215
"about @.@"	0.0828656
"basis point"	0.0828613
"More than two"	0.0827781
"more than six"	0.0821491
"about eight"	0.0819083
"One Million"	0.0815529
centavo	0.0814992
"nearly @,@@@"	0.0812347
"About @@.@ percent"	0.0795538
"over @@@,@@@"	0.0784248
"nearly $@ billion"	0.0784017
"about six"	0.077675
"about $@@ billion"	0.077579
"five to @@"	0.0775299
Thirty-three	0.0773554
"about seven"	0.0773491
"about @.@@ percent"	0.077257
"more than four"	0.0767021
"another @"	0.0766449
"about @.@ million"	0.0756404
"nearly $@@"	0.0753592
"over @@,@@@"	0.0748407
"about @@@ to @@@"	0.0746747
"more than seven"	0.0745716
"about $@@@ million"	0.074249
"almost @@,@@@"	0.0740112
nine	0.0735392
eight	0.0728428
"two million"	0.0727875
"about @ million"	0.0726966
"up to @,@@@"	0.0723396
"more than @@ points"	0.0717848
barrel	0.0714921
"more than @@@ million"	0.0713341
"nearly @@ million"	0.0711095
"about @@ million"	0.0703427
"About @@ per cent"	0.0702064
"about $@ billion"	0.0700605
"about @@@ million"	0.0699689
"eight to @@"	0.0695885
"about four"	0.0695454
Fifteen	0.0690322
"six to @@"	0.0688362
"Nearly @.@ million"	0.0687368
"nearly three"	0.0685873
"Nearly two"	0.0682644
"more than @@ billion yuan"	0.0682586
"nearly @@@,@@@"	0.0682086
one-fifth	0.0681299
"up to three"	0.0677328
"almost @,@@@"	0.0676607
Forty-seven	0.0675889
"two to four"	0.0672188
"more than one million"	0.0671786
"less than one percent"	0.0668149
percent	0.066791
"more than three"	0.0667835
"nearly @@@ million"	0.0667713
Thirty-eight	0.0666014
"about @@@ points"	0.066562
"about @@ points"	0.0661848
"six to eight"	0.0655478
Thirty-nine	0.0650684
"about $@@@"	0.064813
"over six"	0.0646004
Thirty	0.0643767
"four to five"	0.0643329
"roughly @@@"	0.0641971
"seven to @@"	0.0639955
one-quarter	0.0638627
"about three"	0.0638177
"more than ten"	0.0637654
"More than one-third"	0.0636036
"about four percent"	0.0633003
"another @@"	0.0629877
Nineteen	0.0629424
"about one-third"	0.0625003
"first @@@"	0.0624074
"nearly one-third"	0.0622155
"close to @@@"	0.0621626
"nearly four"	0.0616488
"about two"	0.0616112
"about @@-@@"	0.061594
"nearly @ million"	0.0614008
"about $@@ million"	0.0606575
"up to @@,@@@"	0.0605803
"three to four"	0.0600965
shekel	0.0597468
forty	0.0589514
two-thirds	0.0585958
ringgit	0.057826
"more than @@ yards"	0.0576771
"up to eight"	0.0575191
Thirteen	0.0574205
"about $@@"	0.0570206
one-half	0.0569826
thirds	0.0569366
"More than nine"	0.0568184
kg	0.0564313
"over @ million"	0.0561272
"less than @,@@@"	0.0559663
"More than three million"	0.0558016
"one billion"	0.0553262
one-tenth	0.0551931
Eighteen	0.0548248
"nearly two-thirds"	0.0542466
Sixteen	0.0539201
"about $@.@ billion"	0.0538681
"half a dozen"	0.0530274
"another five"	0.0529576
"roughly @,@@@"	0.052851
"up to @@ million"	0.0526509
"important person"	0.0526053
"nearly @@@ points"	0.0523579
"three million"	0.0520964
"Over @@@ Million Dollars"	0.0520859
"Less than one"	0.0517315
"roughly @@,@@@"	0.0516036
"about $@ million"	0.0515791
twenty	0.0515735
"Three hundred"	0.0513809
"one dollar"	0.0508898
"up to @ million"	0.0508462
"up to @@@,@@@"	0.0508369
ruble	0.0507581
"two cents"	0.0507149
"six million"	0.0505719
"other @@@"	0.0504389
Twelve	0.0503153
"about $@@,@@@"	0.0501635
"about @.@ billion dollars"	0.0500662
"three to five"	0.0497576
"over @@ million"	0.0496729
))
("almost @@ million" (desc 1555.94) (sims
"nearly @@ million"	0.336455
"over @.@ million"	0.304307
"Nearly @.@ million"	0.297025
"up to @@ million"	0.288622
"nearly @@@,@@@"	0.283181
"nearly @ million"	0.281929
"over @@ million"	0.278998
"more than @.@@ million"	0.272233
"More than two million"	0.270752
"eight million"	0.26595
"More than @.@ million"	0.258949
"more than @@ million"	0.258616
"More than three million"	0.256496
"more than one million"	0.254918
"almost @ million"	0.25377
"Seven million"	0.246617
"Over one million"	0.244009
"more than four million"	0.242797
"nearly @@@ million"	0.242432
"more than @ million"	0.23721
"about @@.@ million"	0.236521
"five million"	0.233981
"over @ million"	0.231444
"almost @@@,@@@"	0.23063
"over @@@ million"	0.223331
"six million"	0.2233
"nine million"	0.223259
"about @@ million"	0.22157
"nearly one million"	0.216268
"roughly @@@,@@@"	0.215607
"Four million"	0.214806
"About @.@@ million"	0.212156
"more than @@@ million"	0.21214
"about @.@ million"	0.207092
"Over two million"	0.205252
"About three million"	0.205198
"over @.@@ million"	0.204918
"about @ million"	0.202143
"up to @,@@@"	0.200423
"About two million"	0.197574
"over @@@,@@@"	0.19757
"three million"	0.194156
"two million"	0.193762
"nearly @@,@@@"	0.193192
"almost @@,@@@"	0.190902
"up to @ million"	0.188372
"up to @@@,@@@"	0.187951
"another @@@,@@@"	0.184019
"up to @@,@@@"	0.182682
"About one million"	0.180343
"One Million"	0.17948
"about @@@,@@@"	0.178509
"more than @@@,@@@"	0.172539
"another @ million"	0.172208
"roughly @@,@@@"	0.166179
"another @@,@@@"	0.162938
"another @.@ million"	0.1628
"more than @ billion"	0.162492
"over @@,@@@"	0.162285
"about @@@ million"	0.158911
"close to @@,@@@"	0.155807
"less than @@,@@@"	0.150932
"more than @.@ billion"	0.149064
"about @@,@@@"	0.14816
"nearly @,@@@"	0.147345
non-Hispanic	0.14655
"more than @@,@@@"	0.145106
"close to @,@@@"	0.140301
"roughly @,@@@"	0.139004
"almost @,@@@"	0.131542
"over @,@@@"	0.13154
"Another @@ million"	0.127441
"six billion"	0.125999
"roughly @@@"	0.125206
"one billion"	0.124858
"About @ billion"	0.117469
"more than @,@@@"	0.116388
"About @,@@@"	0.115895
"ten thousand"	0.109352
health-conscious	0.109055
"about @@@ to @@@"	0.106533
non-Jewish	0.106011
"less than @,@@@"	0.105686
"almost @@@"	0.104742
over-@@	0.103355
"up to @@@"	0.102879
"Two hundred"	0.102782
"Three billion"	0.101936
"Three hundred"	0.0978384
"about @.@ billion"	0.0977159
"two to four"	0.0969404
"Another @@@"	0.0948289
"turning away"	0.0940893
"Another @,@@@"	0.0939178
"nearly @@@"	0.0938811
"first @@@"	0.0910765
cost-conscious	0.0892242
"about eight"	0.089068
Thirty-three	0.0866193
Thirty-six	0.0850824
"other @@@"	0.0850379
first-time	0.0844737
"voting age"	0.0834204
"six to @@"	0.0833993
"less than @@@"	0.0828395
"up to six"	0.0813191
Thirty-five	0.0798259
"more than five"	0.0792035
"More than two"	0.0784734
"four to six"	0.0780823
"six to eight"	0.0780747
"about @@ to @@"	0.0766386
"about four"	0.0757904
small-business	0.0750193
"Fifteen percent"	0.0744578
"Around @@@"	0.0743155
nonwhite	0.0740738
"about seven"	0.0740013
Twelve	0.0736947
Anglo	0.0735375
Mexican-American	0.0717652
"up to three"	0.0715438
"more than @@@@"	0.0713929
"more than ten"	0.0713497
Younger	0.0711921
"about two"	0.0704123
Fifty	0.0703865
Forty-seven	0.0699165
"up to eight"	0.0691931
"up to two"	0.0690063
seventeen	0.0689881
"two billion"	0.0684622
"up to seven"	0.0681601
"more than seven"	0.0679151
"up to five"	0.0675073
Eighteen	0.0674149
"African American"	0.0673519
"Around @@"	0.0671246
"Asian American"	0.0670812
"more than one"	0.0660485
"less than five"	0.0657817
"more than four"	0.0653628
Sixteen	0.0652844
Thirty-nine	0.0650459
Nineteen	0.064864
"Nearly two"	0.0644029
"more than @@ billion"	0.0639003
"about six"	0.063847
sixty	0.0636678
"four to five"	0.0622403
Fifty-five	0.0620276
"Kosovar Albanian"	0.061552
Ijaw	0.0609632
Netcom	0.0607664
"about @.@"	0.0606878
eighty	0.0603254
"about three"	0.059934
"five to @@"	0.059785
Thirteen	0.0597756
"roughly @@"	0.0595142
"close to @@@"	0.0593403
forty	0.0592278
Thirty	0.0590404
"Time Warner Cable"	0.0589028
non-Muslim	0.0588467
"two to three"	0.0586023
"another three"	0.0584658
"Orthodox Jewish"	0.0581122
slain	0.0579696
southland	0.0579693
"about nine"	0.0578185
Sephardic	0.0573453
IC	0.0571256
"less than two"	0.0565774
Asian-American	0.0563594
"eight to @@"	0.0559323
"about five"	0.0558624
workfare	0.0554441
"about @@ billion"	0.0554397
Okinawan	0.0552788
"two dozen"	0.0550397
Ingush	0.0549195
Forty-two	0.0546914
Forty-five	0.0546085
"more than six"	0.0544226
"More than nine"	0.0542303
"another @@@ million"	0.0541799
"three to four"	0.0539422
"another six"	0.0539052
twenty-six	0.0530283
"up to four"	0.0530167
AGL	0.052892
Ecuadorean	0.05228
seventy	0.0512398
"more than three"	0.0506782
Fifteen	0.0497795
"close to @@"	0.04963
Sinhala	0.0492709
Downstate	0.0492665
"retirement age"	0.0491599
))
("almost @@ years" (desc 9648.52) (sims
"more than @@ years"	0.241057
"nearly @@ years"	0.225278
"more than five years"	0.195794
"nine years"	0.194234
"about @@ years"	0.182059
"three decades"	0.177544
"more than two decades"	0.176034
"two decades"	0.168959
"eight years"	0.167333
"more than @@@ years"	0.157902
"six years"	0.15338
"more than three decades"	0.15315
"about two years"	0.152278
"seven years"	0.15221
"nearly two decades"	0.14893
"more than four years"	0.146361
"over @@ years"	0.145348
"more than three years"	0.142809
"nearly three years"	0.141375
"nearly @@@ years"	0.140457
"about four years"	0.136923
"four decades"	0.136714
"nearly four years"	0.133038
"five months"	0.13009
"nearly five years"	0.12892
"about @@ months"	0.128151
"more than four decades"	0.12806
"four years"	0.126403
"five years"	0.12625
"more than two years"	0.125925
"almost two years"	0.125758
"eight months"	0.125505
"almost four years"	0.124777
"more than two months"	0.124651
"six decades"	0.124131
"nearly two years"	0.122875
"almost three decades"	0.122274
"nearly six years"	0.121121
"three years"	0.12077
"more than eight years"	0.120495
"a few years"	0.11987
"two years"	0.11903
"nearly three decades"	0.116597
"nine months"	0.115294
"nearly two months"	0.115188
"more than seven years"	0.113957
"more than six months"	0.113614
"more than @,@@@ years"	0.11322
"five decades"	0.112579
"more than six years"	0.111191
"seven months"	0.106721
"more than three months"	0.106245
"four months"	0.106052
"more than one year"	0.105319
"nearly four decades"	0.105236
"seven weeks"	0.10487
"ten years"	0.101939
"almost two months"	0.100259
"more than @@ months"	0.0989579
"eight weeks"	0.0980723
"about three years"	0.0964631
"a few months"	0.0952082
"one year"	0.0938054
"three weeks"	0.0931988
"another @@ years"	0.0930886
"three months"	0.0926736
decade	0.0917691
"seven decades"	0.0916875
"over @@@ years"	0.0910745
"more than two hours"	0.090226
"nearly two weeks"	0.0900043
"two to three years"	0.0896475
"nearly seven years"	0.0882232
"nearly three months"	0.0881409
"almost three years"	0.0872129
"about five years"	0.0867542
"about six months"	0.0866031
"almost two weeks"	0.0857348
"four weeks"	0.0843028
"six months"	0.0842578
"nearly @@ hours"	0.0840072
"last @@ years"	0.0837716
"more than three hours"	0.0825474
"another five years"	0.0825158
"nearly @@ months"	0.080864
"past @@ years"	0.080651
"more than @@ hours"	0.0800929
"another two years"	0.0796087
"two months"	0.0794797
"up to three months"	0.0793418
"more than four months"	0.0790449
"up to @@ years"	0.0789369
"eight days"	0.078824
"six weeks"	0.0785709
"about @@ hours"	0.0785431
"almost two decades"	0.0768353
"over two months"	0.0766881
"over two years"	0.0764283
"long time"	0.0757541
"up to six months"	0.0743493
"about three months"	0.0740731
"six days"	0.0727831
"another six months"	0.0726267
"five weeks"	0.0719142
"about three weeks"	0.0714773
"seven days"	0.0714057
"last four years"	0.0712437
"about two months"	0.0710385
"about three hours"	0.0703601
"about four hours"	0.0703367
"up to @@ hours"	0.068637
"about @@ minutes"	0.0678008
"another three years"	0.0674432
"six hours"	0.0673178
"about two weeks"	0.0670962
"two hours"	0.0666213
"more than three weeks"	0.0665769
"a few weeks"	0.0658568
"another four years"	0.0655202
"two weeks"	0.0654588
"five days"	0.0647063
"less than two years"	0.0645933
"five hours"	0.0640323
"past four years"	0.0640215
"almost two hours"	0.0640197
"over @@ months"	0.0638072
"less than @@ years"	0.0629237
"up to @@ days"	0.0626479
"one week"	0.0624797
"over two decades"	0.0622299
"four hours"	0.0613193
"nearly @@ minutes"	0.0611659
quarter-century	0.0608174
"about two hours"	0.0607306
"past seven years"	0.0606597
"up to @@ minutes"	0.0605467
"less than three years"	0.0599259
"six to eight weeks"	0.0599129
"period of time"	0.0592585
"last five years"	0.0587653
"three hours"	0.0586573
"past six years"	0.0585403
"over two hours"	0.0573713
"a few hours"	0.0573013
"three to five years"	0.0568508
"a few days"	0.0567362
"up to two years"	0.0564723
"past eight years"	0.0562782
"three days"	0.0562321
"about two minutes"	0.0557724
"more than four hours"	0.0553112
"eight hours"	0.0547761
"another @@ months"	0.0542437
"a few minutes"	0.0541571
"more than @@ days"	0.0536579
"about five minutes"	0.0535817
"short time"	0.0535456
"one weekend"	0.0534784
"next @@ years"	0.0534505
"last @@@ years"	0.0529028
"more than two weeks"	0.052571
"last six years"	0.0524909
"about one hour"	0.052295
"another two weeks"	0.0520098
"nine weeks"	0.0518196
"last three months"	0.0517519
"nine days"	0.0516943
"about six weeks"	0.0511598
"one month"	0.050803
"four days"	0.0505449
"thousand years"	0.0504641
"past @@ months"	0.0500425
"nine hours"	0.0498107
"past two years"	0.0489951
"over @@ hours"	0.0489884
"last nine years"	0.0489121
"past three years"	0.0488326
"more than five hours"	0.0487787
"next six months"	0.0483883
"two to three weeks"	0.0483734
"about six hours"	0.0483367
"seven hours"	0.0483185
"up to @@ months"	0.0483074
"nearly two hours"	0.0481679
"second time"	0.0479666
"last seven years"	0.0478185
"past ten years"	0.04628
"last two years"	0.0461392
"last eight years"	0.0455543
"from @@@@ to @@@@"	0.0451754
"up to three years"	0.0448947
"up to five years"	0.044441
"one hour"	0.0436557
"past five years"	0.0434878
"more than @@ minutes"	0.0434457
"about @@ days"	0.0434177
"last @@ months"	0.0432542
"last three years"	0.0430376
"first three months"	0.0429024
"from @@@@-@@@@"	0.0427863
))
("almost @@ years ago" (desc 1618.05) (sims
"nine years ago"	0.231721
"seven years ago"	0.226324
"about four years ago"	0.220441
"more than two years ago"	0.21261
"more than @@ years ago"	0.209512
"about three years ago"	0.208109
"nine months ago"	0.20745
"about @@ years ago"	0.2051
"less than two years ago"	0.202366
"six years ago"	0.202281
"nearly two years ago"	0.18709
"more than three years ago"	0.18303
"about @@ months ago"	0.181419
"six months ago"	0.17933
"eight years ago"	0.176466
"decades ago"	0.174269
"nearly @@ years ago"	0.172719
"four decades ago"	0.171655
"years ago"	0.169865
"about five years ago"	0.168974
"four years ago"	0.166849
"seven months ago"	0.164518
"nearly three years ago"	0.161605
"about two years ago"	0.159698
"Ten years ago"	0.157418
"three years ago"	0.154577
"months ago"	0.154224
"about @,@@@ years ago"	0.150414
"more than @@@ years ago"	0.150072
"four months ago"	0.147992
"more than two decades ago"	0.145578
"over @@ years ago"	0.142321
"two years ago"	0.141607
"five years ago"	0.136332
"two months ago"	0.135736
"a few years ago"	0.135375
"one month ago"	0.129985
"time ago"	0.129368
"three months ago"	0.128792
"eight months ago"	0.128548
"six weeks ago"	0.124006
"decade ago"	0.123669
"Five months ago"	0.119299
"four weeks ago"	0.117285
"a few months ago"	0.116045
"about two months ago"	0.11243
"two decades ago"	0.110927
"five weeks ago"	0.109134
"about two weeks ago"	0.107371
"Five days ago"	0.106568
"one year ago"	0.104912
"nine days ago"	0.103526
"a few weeks ago"	0.102792
"nearly two decades ago"	0.102527
"three weeks ago"	0.0997091
"three days ago"	0.0980693
"two weeks ago"	0.0959516
"month ago"	0.094113
"six days ago"	0.0896662
"four days ago"	0.0889787
"from January to May"	0.0877703
"a few days ago"	0.0874168
"days ago"	0.0870264
"weeks ago"	0.0861498
"one week ago"	0.0856042
"seasons ago"	0.0832091
"more than @,@@@ years ago"	0.0793192
"less than two weeks ago"	0.0792359
"about three weeks ago"	0.0790411
"two days ago"	0.0762229
"a few years"	0.0755727
"Over three decades"	0.0744189
"three decades ago"	0.0731459
"from @@@@ to @@@@"	0.071726
"over three years"	0.068892
"about three times"	0.0687214
"over five years"	0.0670649
"week ago"	0.0656984
"a few months"	0.0646139
"eight days ago"	0.0626054
"over two days"	0.0609713
"summers ago"	0.059295
"May @."	0.0576627
"up to @@ times"	0.0545537
"over four years"	0.0532119
"Feb. @."	0.0525649
"Dec. @."	0.0519292
"Aug. @."	0.0503541
"from @@@@-@@@@"	0.0503493
"sixth year"	0.0497356
"one night"	0.0490635
"OCT @@, @@@@"	0.0477151
"Feb @@, @@@@"	0.0475142
Jun	0.0474812
"up to @@ months"	0.0469398
"over six years"	0.0464895
"more than three times"	0.0420316
"two centuries ago"	0.0418161
"Aug @, @@@@"	0.0412077
"nine weeks"	0.0410596
"right here"	0.0406646
"two times"	0.0403278
"Oct @, @@@@"	0.0401558
"ten times"	0.040066
))
("almost @@,@@@" (desc 3065.09) (sims
"nearly @@,@@@"	0.28932
"nearly @@@,@@@"	0.276262
"almost @@@,@@@"	0.266615
"nearly @ million"	0.257841
"over @.@ million"	0.253126
"more than one million"	0.245083
"Nearly @.@ million"	0.244646
"More than @.@ million"	0.243528
"over @@@,@@@"	0.236546
"over @@,@@@"	0.234395
"about @ million"	0.227683
"more than @ million"	0.227233
"up to @,@@@"	0.224969
"more than @@,@@@"	0.224098
"more than @@@,@@@"	0.223717
"nearly @@ million"	0.221065
"over @ million"	0.220894
"nearly @,@@@"	0.212435
"about @@,@@@"	0.211401
"another @@@,@@@"	0.209593
"almost @,@@@"	0.20585
"roughly @@,@@@"	0.205546
"nearly one million"	0.204338
"roughly @,@@@"	0.203827
"more than @@ million"	0.199534
"close to @@,@@@"	0.198742
"about @@@,@@@"	0.198124
"up to @@,@@@"	0.196592
"About @,@@@"	0.196541
"up to @@@,@@@"	0.196121
"More than two million"	0.195802
"three million"	0.194301
"over @,@@@"	0.194252
"six million"	0.191326
"almost @@ million"	0.190902
"close to @,@@@"	0.190522
"Four million"	0.18984
"roughly @@@,@@@"	0.186891
"almost @ million"	0.186611
"Over one million"	0.185922
"another @@,@@@"	0.18579
"about @.@ million"	0.183553
"More than three million"	0.182725
"more than @@@ million"	0.18261
"more than @,@@@"	0.181491
"over @@ million"	0.180877
"One Million"	0.179099
"over @.@@ million"	0.178256
"About one million"	0.176708
"less than @@,@@@"	0.176384
"Another @,@@@"	0.174226
"more than @.@@ million"	0.168459
"five million"	0.16796
"two million"	0.167331
"Seven million"	0.163814
"about @@@ to @@@"	0.163356
"about @@ million"	0.15987
"Over two million"	0.159503
"nearly @@@"	0.156896
"eight million"	0.155793
"less than @,@@@"	0.154794
"about @@@"	0.152607
"nearly @@@ million"	0.152035
"ten thousand"	0.151469
"roughly @@@"	0.150502
"About three million"	0.141062
"more than @@@"	0.136999
"Two hundred"	0.13665
"another @ million"	0.136257
"About two million"	0.134304
"Another @@@"	0.133628
"nine million"	0.132658
"up to @@@"	0.128794
"more than four million"	0.128608
"almost @@@"	0.128448
"over @@@"	0.124617
"first @@@"	0.123518
"up to @ million"	0.119068
"about @@.@ million"	0.116598
"less than @@@"	0.116064
"up to @@ million"	0.115858
"about @@"	0.113112
"another @.@ million"	0.111822
"Three hundred"	0.110284
"over @@@ million"	0.10895
"more than @@@@"	0.108135
"turning away"	0.107698
"two dozen"	0.106924
"About @.@@ million"	0.105095
"about @@@ million"	0.104751
Thirty	0.10378
"more than five"	0.103165
slain	0.09939
"close to @@@"	0.0991081
"six to @@"	0.0969863
Eighteen	0.0966249
non-Hispanic	0.0963016
"Around @@@"	0.0953323
Twelve	0.0939692
"More than two"	0.0927968
"another @@"	0.0925478
"two to four"	0.0915535
"Another @@ million"	0.0913713
"up to seven"	0.0911413
"up to three"	0.0886299
"about two"	0.0886282
"six to eight"	0.0884987
nonwhite	0.087715
"more than @@"	0.0871846
second-grade	0.0869761
"nearly @@"	0.0868674
Thirty-nine	0.0867942
Sixteen	0.0865843
"more than eight"	0.0859083
"more than seven"	0.0858682
"more than @.@ billion"	0.0853359
Thirty-two	0.0852648
"up to six"	0.0849556
"about three"	0.0849445
"Kosovar Albanian"	0.0849326
forty	0.0845118
"two to three"	0.0841401
"more than ten"	0.0836141
"Around @@"	0.0831938
Nineteen	0.0824995
"other @@@"	0.0803663
Thirty-five	0.079822
"eight to @@"	0.0797686
"over @@"	0.0796495
non-Jewish	0.0794523
"four to six"	0.0785051
Fifteen	0.0783036
"over @"	0.0777915
"up to @@"	0.0770388
"about six"	0.0768131
non-Indian	0.0765604
"another six"	0.0762982
"about four"	0.0751435
"up to two"	0.0749207
"another three"	0.0746763
"flag waving"	0.07465
twenty	0.0746067
"almost @@"	0.0740112
low-income	0.073874
"about seven"	0.0737048
"close to @@"	0.0736686
"five to @@"	0.073139
"about @@ to @@"	0.0731367
Thirty-one	0.0730635
Younger	0.0728727
Anglo	0.072583
"more than six"	0.0725084
"six billion"	0.0721373
Okinawan	0.0717357
Eleven	0.0714714
"roughly @@"	0.0712649
"about eight"	0.0703728
Thirty-eight	0.0699975
Kosovar	0.069939
fulltime	0.0697296
"about nine"	0.0697214
"about @.@ billion"	0.0695232
third-grade	0.0676859
"another nine"	0.0667381
Mexican-American	0.0660959
"Nearly two"	0.0659469
"mentally retarded"	0.0658758
Thirty-six	0.0656404
"up to four"	0.0654565
Amish	0.0654157
"African American"	0.0651955
first-time	0.0650385
"Another eight"	0.06436
Fourteen	0.063643
Forty-four	0.063508
Forty-seven	0.062257
Hmong	0.062231
"middle class"	0.0621684
Fifty	0.062121
sixty	0.0620066
"three to five"	0.0619753
"grammar school"	0.0612807
eighty	0.0612148
"up to eight"	0.0610979
Thirty-four	0.0610059
expatriate	0.0606175
"Asian American"	0.0605313
"less than five"	0.0602601
"Other @@"	0.0600647
sixth-grade	0.0599686
"About @ billion"	0.0599546
Asian-American	0.0598682
Fifty-five	0.0597467
"another seven"	0.0597231
"half a dozen"	0.0595436
Forty-two	0.0591503
Thirty-three	0.0591338
Thirteen	0.05906
Hasidic	0.0590073
over-@@	0.058798
))
("almost @@@" (desc 4787.69) (sims
"nearly @@@"	0.244976
"nearly @,@@@"	0.223511
"nearly @@,@@@"	0.19528
"over @,@@@"	0.193559
"over @@@"	0.192583
"almost @,@@@"	0.192485
"more than @@@"	0.190916
"more than @,@@@"	0.185744
"up to @,@@@"	0.185478
"about @@@"	0.173662
"roughly @@@"	0.172041
"more than @@"	0.169832
"up to @@@"	0.169651
"more than @@,@@@"	0.161314
"almost @@@,@@@"	0.16034
"About @,@@@"	0.156758
"close to @@@"	0.154861
"about @@"	0.154274
"almost @@"	0.154247
"nearly @@@,@@@"	0.153609
"more than @@@,@@@"	0.151785
"about @@,@@@"	0.151266
"more than @ million"	0.150415
"over @@,@@@"	0.148188
"close to @,@@@"	0.14765
"up to @@,@@@"	0.146634
"Three hundred"	0.140893
"roughly @,@@@"	0.140391
"nearly @@"	0.139279
"More than @.@ million"	0.138873
"Another @@@"	0.138593
"about @@@,@@@"	0.137264
"Nearly @.@ million"	0.136548
"Another @,@@@"	0.13448
"over @@@,@@@"	0.133684
"less than @@@"	0.13148
"up to @@"	0.13102
"two dozen"	0.130223
"roughly @@"	0.130149
"more than @@ million"	0.128967
"almost @@,@@@"	0.128448
"nearly @ million"	0.128352
"more than one million"	0.128346
"six million"	0.125835
Nineteen	0.124413
"nearly @@ million"	0.121616
Fourteen	0.120258
"five to @@"	0.119948
"Two hundred"	0.119894
Fifteen	0.119785
"about @ million"	0.118578
"More than three million"	0.118441
"Around @@@"	0.118292
Thirty-six	0.118227
"roughly @@,@@@"	0.117734
"about @.@ million"	0.117384
"One Million"	0.116977
Thirty-five	0.1162
"about @@@ to @@@"	0.115425
"about five"	0.114949
"another @@"	0.114094
"up to @@@,@@@"	0.113427
"more than @@@ million"	0.113044
Twelve	0.112308
"over @ million"	0.11219
"over @@"	0.111991
"Around @@"	0.11004
Thirty	0.109737
Sixteen	0.109369
"two million"	0.109311
"more than @@@@"	0.108869
Eighteen	0.108811
eighty	0.108497
"another @@@,@@@"	0.108377
Thirty-nine	0.108353
Thirteen	0.10821
twenty	0.107859
Forty-four	0.10572
"close to @@"	0.105348
"up to three"	0.105232
"almost @@ million"	0.104742
"more than seven"	0.104459
"over @.@ million"	0.10442
"roughly @@@,@@@"	0.104292
"nearly one million"	0.104179
"about @@ to @@"	0.103756
"about @@ million"	0.102321
Thirty-three	0.1023
"about six"	0.101653
"About one million"	0.101121
"another six"	0.0998089
"more than three"	0.0997587
seventy	0.0995085
Thirty-eight	0.0993078
"another @@,@@@"	0.0991914
"another nine"	0.099066
"six to @@"	0.0983077
"three million"	0.0977968
"more than @"	0.097427
Eleven	0.096754
"less than @,@@@"	0.0961355
"more than @.@@ million"	0.0954912
"six to eight"	0.0948036
"ten thousand"	0.0947308
"about eight"	0.0941898
"five million"	0.0939898
forty	0.0927688
"another five"	0.0926406
"Kosovar Albanian"	0.0925472
"More than two"	0.0918374
"first @@@"	0.0917294
"other @@@"	0.0912464
"over @.@@ million"	0.0908508
Okinawan	0.0903844
"more than eight"	0.0903723
"about four"	0.0898411
Thirty-two	0.0897915
Thirty-four	0.0894564
"another three"	0.0892523
"up to six"	0.0890268
nine	0.0887599
"Other @@"	0.0880201
"up to eight"	0.0879366
"about @@@ million"	0.0878255
"Four million"	0.0877587
"close to @@,@@@"	0.0873408
"more than five"	0.087331
"Over one million"	0.087227
"over @@ million"	0.0870265
"up to @@ million"	0.0869706
"less than @@,@@@"	0.0861946
"another @ million"	0.086169
"more than six"	0.0857552
"about @@.@ million"	0.0854416
"another four"	0.0853451
"up to seven"	0.0853236
"up to four"	0.0850676
"three to five"	0.0845872
eight	0.0845388
"about nine"	0.0845235
non-Muslim	0.0838233
"almost @ million"	0.0828504
"nearly @"	0.0825697
"another seven"	0.082321
slain	0.0822355
"More than nine"	0.0819876
"almost @"	0.0812065
Forty-five	0.0808901
"nearly @@@ million"	0.080855
"Over two million"	0.0803485
seventeen	0.0802091
"about three"	0.0796983
"two to three"	0.079348
Fifty	0.0792399
"Another eight"	0.0787395
Forty-seven	0.0784298
"over @@@ million"	0.0781121
"four to five"	0.0780379
"Nearly two"	0.0766271
"Seven million"	0.0761174
"other seven"	0.0755782
"half a dozen"	0.0755444
"more than four million"	0.0752512
"up to @ million"	0.0749537
"less than @@"	0.0749378
sixty	0.0748728
Thirty-one	0.0741864
"other four"	0.0733378
Fifty-five	0.0730106
"nine million"	0.0721904
"another @.@ million"	0.0719741
"about two"	0.0719661
"other five"	0.0717413
Kosovar	0.0716488
"more than four"	0.0714508
"less than five"	0.0696459
"up to five"	0.0694797
"another @"	0.0690297
"eight percent"	0.0686558
"eight million"	0.0684067
"almost two"	0.0680561
"About two million"	0.0678672
"more than @.@ billion"	0.0678419
"three to four"	0.0671821
ten	0.0667344
"other six"	0.0663783
Twenty-five	0.0662782
"Ethnic Albanian"	0.0661275
"about seven"	0.0656927
"About @ billion"	0.0655026
"About @.@@ million"	0.0645804
non-European	0.0645589
"eight to @@"	0.0642144
"up to two"	0.0637956
twenty-four	0.0637299
"Another two"	0.0636838
"about @.@"	0.0635407
"four to six"	0.0631595
"ten percent"	0.0630581
Forty-two	0.0627457
))
("almost @@@,@@@" (desc 2623.7) (sims
"nearly @@@,@@@"	0.313703
"nearly @ million"	0.293685
"almost @ million"	0.28505
"More than @.@ million"	0.269157
"almost @@,@@@"	0.266615
"more than one million"	0.265311
"more than @ million"	0.257515
"over @.@ million"	0.255581
"more than @@@,@@@"	0.24685
"nearly @@ million"	0.24661
"over @@@,@@@"	0.244348
"over @ million"	0.243991
"nearly @@,@@@"	0.242138
"Nearly @.@ million"	0.238194
"up to @@@,@@@"	0.23749
"about @ million"	0.237232
"almost @@ million"	0.23063
"about @@@,@@@"	0.230262
"More than two million"	0.228968
"More than three million"	0.218998
"over @@,@@@"	0.21285
"up to @,@@@"	0.211517
"another @@@,@@@"	0.210271
"more than @@ million"	0.209583
"about @@,@@@"	0.209308
"five million"	0.203618
"about @.@ million"	0.202964
"One Million"	0.202931
"roughly @@@,@@@"	0.201734
"Over one million"	0.200702
"more than @@,@@@"	0.198524
"up to @@,@@@"	0.198096
"more than @.@@ million"	0.195951
"nearly @,@@@"	0.195648
"over @@ million"	0.195447
"roughly @,@@@"	0.19538
"About one million"	0.193366
"another @@,@@@"	0.192876
"About three million"	0.192846
"over @,@@@"	0.191026
"Over two million"	0.186852
"nearly one million"	0.186806
"up to @ million"	0.186668
"up to @@ million"	0.1855
"six million"	0.184015
"roughly @@,@@@"	0.183064
"About two million"	0.182669
"more than @@@ million"	0.182535
"close to @,@@@"	0.18195
"Seven million"	0.178667
"three million"	0.178373
"two million"	0.174978
"About @,@@@"	0.174309
"about @@ million"	0.168127
"Four million"	0.167117
"Another @,@@@"	0.16479
"nearly @@@ million"	0.162437
"more than @,@@@"	0.161958
"almost @@@"	0.16034
"nine million"	0.159831
"almost @,@@@"	0.158883
"eight million"	0.153955
"nearly @@@"	0.153421
"about @@.@ million"	0.152172
"over @.@@ million"	0.151071
"another @.@ million"	0.149254
"another @ million"	0.148848
"ten thousand"	0.14352
"close to @@,@@@"	0.142047
"more than four million"	0.140225
"less than @@,@@@"	0.135937
"About @.@@ million"	0.129393
"about @@@"	0.128562
"more than @@@"	0.12753
"Three hundred"	0.124706
"first @@@"	0.120032
"roughly @@@"	0.118176
"up to @@@"	0.116035
"about @@@ to @@@"	0.113724
"over @@@ million"	0.112827
"Two hundred"	0.111399
Thirty-six	0.110536
"about @@@ million"	0.11011
Forty-seven	0.109197
"about @@"	0.109106
"six to @@"	0.108489
"over @@@"	0.107032
"less than @,@@@"	0.106192
Kosovar	0.1059
Fifteen	0.105664
Sixteen	0.104628
"more than @@"	0.104292
Eighteen	0.103765
Thirty-two	0.103504
"Another @@@"	0.10325
eighty	0.102806
Thirteen	0.102699
"other @@@"	0.102572
"less than @@@"	0.10165
Thirty-five	0.100794
"about eight"	0.0999717
forty	0.0984899
"up to six"	0.0965987
"more than @.@ billion"	0.0956604
Twelve	0.095222
non-Jewish	0.0944352
Nineteen	0.0942582
Thirty	0.0936307
"more than @@@@"	0.0935251
Thirty-three	0.0933912
"Another @@ million"	0.0929934
"Around @@"	0.0926147
"close to @@@"	0.0922508
Hmong	0.092056
"six to eight"	0.0920473
"more than @ billion"	0.0917369
"nearly $@@"	0.0917065
"Around @@@"	0.0913831
"roughly @@"	0.0913263
"About @ billion"	0.0911832
"more than seven"	0.0896974
"about six"	0.0890122
Thirty-nine	0.0889369
"up to @@"	0.0876641
"Kosovar Albanian"	0.0868074
"almost @@"	0.0855794
Thirty-one	0.0850797
"Other @@"	0.0849341
"about @@ to @@"	0.0846121
Eleven	0.0841962
"Nearly two"	0.0835194
"up to eight"	0.0822044
"about five"	0.0821234
"two dozen"	0.0819403
Fifty	0.081434
"two to four"	0.0810169
"More than two"	0.0780716
"Orthodox Jewish"	0.0770752
seventeen	0.0768744
"turning away"	0.0764403
"up to seven"	0.0763834
"Irish Catholic"	0.0755409
"nearly @@"	0.0753973
"close to @@"	0.0749276
"more than five"	0.0747956
non-Hispanic	0.0745128
Thirty-four	0.0734201
"another five"	0.0726581
twenty	0.0724808
"one billion"	0.0720487
"another @@"	0.0714177
"five to @@"	0.071097
"more than six"	0.0710205
"over @@"	0.0707751
"another @"	0.0705971
sixty	0.070426
"over @"	0.0688986
Thirty-eight	0.0686968
"about four"	0.0680317
"more than four"	0.0676638
"about two"	0.0667636
"four to six"	0.0662332
slain	0.0659648
"another three"	0.0657229
"more than @@@ billion yuan"	0.06572
Fifty-five	0.0654695
"fourth generation"	0.065457
over-@@	0.0643405
"about three"	0.0641064
"more than @@@ pounds"	0.0637534
"about @.@ billion"	0.0636922
Ingush	0.0636868
Timorese	0.0632417
sixth-grade	0.0629749
Younger	0.062942
"more than eight"	0.0628188
"less than five"	0.0610465
"Pitt County"	0.0609385
Forty-five	0.0602798
Fourteen	0.0600188
Twenty-seven	0.059151
Forty-four	0.0589968
"six billion"	0.0588088
Mexican-American	0.0583923
health-conscious	0.0582004
"hundred thousand"	0.0580049
"up to two"	0.0578996
Ukranian	0.0576833
"about seven"	0.0576598
"nearly $@ billion"	0.0575853
Okinawan	0.057581
"Two and three"	0.0575361
"Hispanic American"	0.0573587
"up to three"	0.0568766
two-third	0.0562442
"four to five"	0.0560814
"more than @"	0.056073
"another six"	0.055775
twenty-four	0.0556412
Kurd	0.0555816
))
("almost four years" (desc 1218.03) (sims
"nearly four years"	0.239209
"more than three years"	0.188057
"more than five years"	0.183862
"almost two years"	0.182361
"more than two years"	0.177394
"almost three years"	0.176375
"more than four years"	0.174413
"nearly two years"	0.171183
"nearly two months"	0.164784
"nearly three years"	0.16314
"more than @@ months"	0.15801
"more than six months"	0.146416
"nearly five years"	0.146111
"more than seven years"	0.144919
"nearly three months"	0.143977
"more than three weeks"	0.138352
"more than four months"	0.132753
"nearly seven years"	0.127214
"more than four decades"	0.125694
"nearly three decades"	0.124957
"almost @@ years"	0.124777
"nearly two weeks"	0.122368
"almost two months"	0.116899
"more than six years"	0.11474
"more than eight years"	0.114412
"nine years"	0.113081
"nearly @@ months"	0.111825
"almost two weeks"	0.110525
"more than two months"	0.106263
"nearly @@ years"	0.104439
"eight months"	0.1026
"last nine years"	0.0982605
"seven decades"	0.0972251
"more than two decades"	0.0968584
"over two months"	0.0951637
"seven weeks"	0.0944386
"more than three months"	0.0901473
"nearly six years"	0.089477
"almost two decades"	0.0885608
"about @@ months"	0.0882351
"eight weeks"	0.0875521
"more than three decades"	0.0872355
"nearly two decades"	0.0865717
"nearly three weeks"	0.0865602
"about three years"	0.0850882
"about four years"	0.0836919
"nearly @@ hours"	0.0812867
"nearly @@@ years"	0.0789179
"six weeks"	0.0785419
"nine weeks"	0.0782776
"four decades"	0.0775492
"five months"	0.0772029
"past @@ months"	0.0764339
"six decades"	0.0760233
"nine months"	0.0757356
"over @@@ years"	0.0740621
"about three weeks"	0.0740403
"three decades"	0.0736868
"over two years"	0.0736256
"about two years"	0.073073
"more than @@@ years"	0.0728332
"almost three decades"	0.0721462
"about five years"	0.0688858
"eight days"	0.0684944
"ten years"	0.066943
"five decades"	0.0664281
"about @@ years"	0.0661469
"more than one year"	0.0655993
"over @@ months"	0.0626237
"more than two weeks"	0.061817
"another six months"	0.0616917
"about three months"	0.0601772
"nearly four decades"	0.060052
"last four days"	0.0595691
"about two weeks"	0.0586561
years.	0.0580292
"past eight years"	0.0578241
"three centuries"	0.0577512
"about two months"	0.0545295
"more than @@ hours"	0.0538363
"nearly two hours"	0.0514696
"more than @@ minutes"	0.0502223
"next @@ hours"	0.0499849
"last nine months"	0.0491391
history.	0.048093
"less than two years"	0.0474734
"another @@ years"	0.0471282
"first @@ years"	0.0463249
"sixth minute"	0.0458253
"up to @@ days"	0.044058
"past seven years"	0.043902
"four nights"	0.0435811
"National Games"	0.0435477
"another four years"	0.0430547
"another five years"	0.0428348
"about four hours"	0.042329
"Policy Address"	0.0418665
"another two years"	0.0416499
"over two decades"	0.0405706
"more than @,@@@ years"	0.0400449
))
("almost one" (desc 2293.9) (sims
"nearly one"	0.427341
"roughly one"	0.291276
"nearly three"	0.265918
"About one"	0.231605
"more than one"	0.205691
"Less than one"	0.205377
"Nearly two"	0.160568
"up to one"	0.158848
"nearly four"	0.150568
"about three"	0.138511
"about four"	0.129246
"more than four"	0.11917
"about @"	0.114242
"about six"	0.110051
"More than nine"	0.1015
"more than three"	0.100382
"more than six"	0.097639
"won four"	0.0786547
"won three"	0.0779934
"tooth decay"	0.0778482
"more than @"	0.0758794
"about eight"	0.0746255
"Over one"	0.0735461
"three pitchers"	0.0726497
"about @@.@ million"	0.0696459
"more than @,@@@ yards"	0.0681465
"won two"	0.0679813
"about seven"	0.0673977
"More than two"	0.0641282
Eighteen	0.0631665
"about five"	0.062575
"one sack"	0.0617377
"more than eight"	0.0612714
"one sixth"	0.0592779
"about two"	0.0591297
"more than @@@ yards"	0.0586631
Twelve	0.0575156
"over one third"	0.0572471
"nearly @"	0.0570616
"almost two"	0.0563308
"Nearly @.@ million"	0.0556092
"about nine"	0.054023
Thirteen	0.0538149
"Viswanathan Anand"	0.0533633
"nearly @@,@@@"	0.0531758
"nearly @@@,@@@"	0.0530717
"nearly one third"	0.052315
Thirty-six	0.0521803
"about one-fifth"	0.0521208
"about @ million"	0.0520079
vasectomy	0.0519082
"more than seven"	0.0517954
Sixteen	0.0517162
"almost @@@,@@@"	0.0516721
Gaither	0.0514376
"roughly one-third"	0.0512128
"nearly one-fifth"	0.0511728
"more than one-fifth"	0.0506374
"about @.@ million"	0.050631
Fifteen	0.0482246
"about @@@ million"	0.0480828
"nearly @@ million"	0.048019
"another @@@,@@@"	0.0479986
"over one-third"	0.0477556
"third homer"	0.0475756
Forty-seven	0.0474095
"almost @"	0.0472826
"Another two"	0.0469889
"almost one-third"	0.0468148
one-fifth	0.0465023
no-decision	0.0463485
"another four"	0.046137
Thirty-nine	0.0456294
Muslim-Croat	0.0455464
"nearly @ million"	0.0451947
"more than five"	0.0450632
"More than one third"	0.0442492
twenty-eight	0.0442119
"almost two-thirds"	0.0441864
"One Million"	0.0441778
baserunners	0.0441009
"mental disorder"	0.0438317
"more than @@ million"	0.0436904
"five million"	0.0436206
"one fifth"	0.0435132
"almost @,@@@"	0.0433425
"nearly one-third"	0.0430909
"over @@@,@@@"	0.0430322
"Australian Mark Philippoussis"	0.0429262
twenty	0.0428296
"less than @@@"	0.042741
one-seventh	0.0426025
drawdown	0.0423146
"three @-pointers"	0.042107
"more than one million"	0.0420043
"more than @@ points"	0.0419356
"one tenth"	0.0419194
"base runner"	0.0414679
"about one third"	0.0414022
Twenty-five	0.0411585
"more than @@@ million"	0.0409952
"paying back"	0.0409847
"two million"	0.0408427
"More than @.@ million"	0.0406455
Fourteen	0.0402241
"Four million"	0.0400985
))
("almost one-third" (desc 1536.99) (sims
"one sixth"	0.234819
"More than one-third"	0.220461
"about one-fifth"	0.217691
"over one-third"	0.204376
"nearly one-fourth"	0.20148
"nearly one-third"	0.200901
"nearly one-fifth"	0.199665
"More than one third"	0.198591
"over one third"	0.196939
one-sixth	0.195524
one-seventh	0.191842
"one fifth"	0.188083
"about one-tenth"	0.185073
"almost two-thirds"	0.184592
"roughly one-third"	0.184429
"more than one-fifth"	0.182614
"more than one-fourth"	0.179752
"roughly two-thirds"	0.179369
"about one-quarter"	0.176542
"about one-fourth"	0.173722
"About @@ per cent"	0.173221
"nearly one third"	0.173177
"nearly two-thirds"	0.171727
"More than three-quarters"	0.170626
"less than one-third"	0.16991
"about one third"	0.167135
"about one-third"	0.163761
"about five percent"	0.162447
"about four percent"	0.161821
"About @@.@ percent"	0.157723
"over two-thirds"	0.157067
"less than five percent"	0.156673
"Twenty percent"	0.154431
"one tenth"	0.154346
"Eighty percent"	0.152824
one-fifth	0.151472
"about two-thirds"	0.150205
"one third"	0.146507
"Forty percent"	0.145273
three-fourths	0.142767
one-eighth	0.142467
"Fifty percent"	0.141549
"Nearly three-quarters"	0.140783
three-fifths	0.140269
one-fourth	0.137689
two-fifths	0.132881
"about three-fourths"	0.130387
"Almost three-quarters"	0.12942
"Sixty-five percent"	0.129272
"less than one percent"	0.129123
"More than three quarters"	0.12733
"More than two-thirds"	0.1254
"Thirty percent"	0.124904
Four-fifths	0.12391
"about three-quarters"	0.123732
"Seventy percent"	0.123595
"about one quarter"	0.122907
"Fifty-five percent"	0.122367
"Seventy-five percent"	0.120534
"less than @.@ percent"	0.119623
"about @.@@ percent"	0.118828
"another third"	0.11822
"representative sample"	0.114835
thirds	0.11464
"about @.@ percent"	0.113932
one-third	0.113116
"Ninety percent"	0.11261
"Fifteen percent"	0.112476
fifths	0.111189
"Ninety-five percent"	0.108069
"Sixty percent"	0.107422
"about one percent"	0.105829
three-quarters	0.104873
two-thirds	0.104723
"ten percent"	0.102776
"more than three-fourths"	0.101291
"about two percent"	0.100399
one-tenth	0.099503
tenth	0.0992177
"about @ percent"	0.0970823
"random sample"	0.0969182
one-quarter	0.0949993
"three quarters"	0.0937315
"six percent"	0.0933411
"Twenty-five percent"	0.0901159
"about @@.@ million"	0.0893509
two-third	0.0872403
"eight percent"	0.0868612
"Ninety-nine percent"	0.0864662
"five percent"	0.0855844
"nine percent"	0.0830476
"less than one-tenth"	0.0829261
"About three quarters"	0.0827818
"three percent"	0.0799255
"one percent"	0.0797586
percent	0.0797091
tenths	0.0795953
"one quarter"	0.0792474
"two percent"	0.0788012
fraction	0.0787707
Twenty-seven	0.0782443
"Eighty-five percent"	0.0777289
"one hundred"	0.0757199
"nearly $@@@ billion"	0.074889
twenty-two	0.0747098
"about three percent"	0.0732674
"seven percent"	0.0728769
"four percent"	0.0715795
"more than @.@ percent"	0.0711436
"good part"	0.0679909
"nearly @@ million"	0.0653911
"first third"	0.0651022
one-half	0.0647468
Thirty-three	0.0646396
Twenty-five	0.0641783
"cross section"	0.0639266
twenty-six	0.0635418
"one penny"	0.0632297
nine-tenths	0.0626935
"More than @.@ million"	0.061244
"Forty-five percent"	0.0604949
"nearly $@"	0.0601937
"about @ million"	0.0601814
"about @.@ million"	0.0594523
"about @@@ percent"	0.0592288
"crazy quilt"	0.0580416
"over @@.@ percent"	0.0571449
"up to seven"	0.0570939
Thirty-five	0.0567187
"about $@@@ billion"	0.0564428
seven-tenths	0.0557642
twenty-one	0.0554928
eight-tenths	0.0552963
"safe harbor"	0.0550573
"speech pattern"	0.0548667
"another @@.@ percent"	0.0547513
three-tenths	0.0546537
"about @.@ billion"	0.0543312
"two pitchers"	0.0542289
doubling	0.0541965
"almost @@@,@@@"	0.054148
Twenty-three	0.0540675
Thirty-six	0.0539172
"dollar amount"	0.0535954
subset	0.0533779
enumeration	0.0530471
sliver	0.0529902
outperformance	0.0527669
"more than @.@ billion US dollars"	0.0525294
tabulation	0.0523494
"about three"	0.0517814
"roughly one"	0.05173
"five million"	0.0510316
crore	0.0509339
Thirteen	0.0506611
"nearly @@@,@@@"	0.0505816
twenty-four	0.0501787
"about $@@ billion"	0.050104
twenty-eight	0.0499697
"about @@ million"	0.0495354
"about $@.@ trillion"	0.0493921
"nearly @@@ million"	0.0493787
"about @@@ million dollars"	0.049125
Nineteen	0.0490655
Eighteen	0.0488708
vagary	0.0487539
tripling	0.0486732
"about @@@ million"	0.0483791
Fifty-five	0.0482288
reshuffling	0.0479421
"brain wave"	0.0478297
"close to @@"	0.0478142
exigency	0.0472792
"more than @@@ million dollars"	0.0470482
"price change"	0.0470071
"about $@.@ billion"	0.0468165
"almost one"	0.0468148
"up to @@.@ percent"	0.0460725
"more than @ billion dollars"	0.0460467
"about $@ billion"	0.0458263
"bread and butter"	0.0458174
"about @.@ billion dollars"	0.0448597
"nearly @@@ million yuan"	0.0447688
"almost $@ million"	0.044726
"another @.@ percent"	0.0446944
"more than @@ billion yuan"	0.0445789
"nearly @ million"	0.0444877
Berasategui	0.0441931
Hartwig	0.0440816
"more than six"	0.0440063
capsaicin	0.0436562
shrinkage	0.0431996
Sixteen	0.0430389
"six million"	0.0423951
viewership	0.0421847
"about six"	0.0421207
"almost @@@"	0.0420605
Felton	0.042004
"a few million dollars"	0.0418658
"more than @.@ billion yuan"	0.0418597
))
("almost three decades" (desc 1378.68) (sims
"more than three decades"	0.208763
"nearly three decades"	0.193883
"nearly four decades"	0.18532
"seven decades"	0.163305
"three decades"	0.158205
"more than six years"	0.150693
"more than two decades"	0.147454
"four decades"	0.147388
"nearly @@ years"	0.140687
"six decades"	0.139275
"more than four decades"	0.127115
"more than @@ years"	0.125499
"nearly two decades"	0.124446
"more than five years"	0.122823
"almost @@ years"	0.122274
"nearly six years"	0.121913
"about four years"	0.119622
"more than one year"	0.117627
"nearly three weeks"	0.113673
"more than six months"	0.11323
"more than @@@ years"	0.112422
"over two months"	0.111933
"more than @,@@@ years"	0.110124
"five decades"	0.1082
"nearly @@@ years"	0.107354
"more than two years"	0.106974
"about @@ years"	0.10147
"nine years"	0.0999044
"two decades"	0.0995347
"over @@ years"	0.0968507
"more than @@ months"	0.0963822
"almost two decades"	0.0962267
"about three weeks"	0.0956833
"nearly two hours"	0.0937779
"nearly two months"	0.0932934
"about two years"	0.0929533
"almost two weeks"	0.0922441
"more than seven years"	0.0876707
"almost two months"	0.0854457
"more than four years"	0.085027
"past seven years"	0.0841723
"nearly five years"	0.0832333
"nearly three years"	0.0831858
"another five years"	0.0796632
"almost two years"	0.0784412
"last nine years"	0.0780381
"more than two months"	0.0764376
"nearly four years"	0.076104
"Over three decades"	0.0753015
"seven weeks"	0.0737984
"more than three weeks"	0.0736233
"over @@ hours"	0.0721606
"almost four years"	0.0721462
"more than four months"	0.071547
"ten years"	0.0697801
"another @@ years"	0.0691462
"nearly two years"	0.0689905
quarter-century	0.0687631
"nearly seven years"	0.0674924
"more than three years"	0.0674075
"up to three years"	0.0666371
"nine weeks"	0.0663474
"about two months"	0.0661725
"over two years"	0.0651346
"five weeks"	0.0645124
"more than eight years"	0.0641928
"more than three hours"	0.0638697
"up to @@ months"	0.061676
"almost three years"	0.0615778
"about three months"	0.0614042
"more than three months"	0.0613689
"over @@@ years"	0.0613476
"eight weeks"	0.0610415
"about @@ months"	0.0607897
"past eight years"	0.0596257
"about two weeks"	0.0590857
"about five years"	0.0590835
"more than two weeks"	0.0586563
"seven days"	0.0576992
"past @@@ years"	0.0574661
"six to eight weeks"	0.0564359
"nearly @@ hours"	0.0554321
"about one hour"	0.0552403
"up to @@ years"	0.0551735
"more than four hours"	0.0547006
"another @@ months"	0.0545723
"eight hours"	0.0538362
"last six years"	0.0532342
"nearly three months"	0.0529348
"nearly two weeks"	0.0522844
"more than two hours"	0.051342
"more than five hours"	0.0509787
"next @@ minutes"	0.050574
"about six hours"	0.0501432
"about five hours"	0.0497584
"up to @@ days"	0.048716
"two to three years"	0.0486117
"up to three months"	0.0485733
"about @ @/@ hours"	0.0484934
"more than @@ hours"	0.0481816
"last three decades"	0.0480806
years.	0.0479461
"about six months"	0.0473753
"hundred years"	0.0471587
"five to @@ years"	0.0471229
"past three decades"	0.0468
"past six years"	0.0464813
"nearly @@ months"	0.0462234
"past eight months"	0.0460798
"past ten years"	0.0460216
"up to six months"	0.0448349
"thousand years"	0.0446655
"next @@@ years"	0.0443822
"first hours"	0.0443084
"about four hours"	0.0439555
"nearly four hours"	0.0439078
"nearly three hours"	0.0428583
"almost two hours"	0.0426109
"three to six months"	0.0413158
"over two weeks"	0.04095
"up to @@ minutes"	0.0407232
"last @@@ years"	0.0403952
"about @@ days"	0.0403347
))
("almost three times" (desc 1184.05) (sims
"two to three times"	0.229769
"nearly three times"	0.226501
"more than three times"	0.218836
"about three times"	0.205534
"more than four times"	0.198263
"nearly @@ times"	0.19315
"ten times"	0.18786
"more than five times"	0.184666
"more than @@ times"	0.183784
"about @@ times"	0.180379
"From January to June"	0.170723
"up to @@ times"	0.165577
"about five times"	0.15717
"about four times"	0.155397
"Five times"	0.14337
"four times"	0.141695
"eight times"	0.135664
"about @@@ times"	0.131295
"from January to September"	0.130192
"six times"	0.127526
"From January to March"	0.1196
"two times"	0.118518
"from January to May"	0.103768
"seven times"	0.0983559
"nine times"	0.0928741
"over two days"	0.0759636
"over six months"	0.0711148
"two meters"	0.0687387
"over @@ months"	0.0685006
"previous two years"	0.0660234
"Over three decades"	0.0616359
"four inches"	0.0594683
"over four years"	0.0592391
"over six years"	0.0588701
seven-month	0.0569984
intraday	0.0527862
"over @@ hours"	0.0504804
"over two hours"	0.0474617
"over three years"	0.0465411
"three inches"	0.0463612
"over three days"	0.0461216
"nearly three hours"	0.0459542
"up to three months"	0.0445227
"nine hours"	0.0432936
"up to @@ years"	0.0430375
"Ten years ago"	0.0418414
"over two decades"	0.0416854
"over @@ years ago"	0.0402449
))
("almost three years" (desc 1896.55) (sims
"nearly five years"	0.195262
"more than three years"	0.179882
"almost four years"	0.176375
"more than four years"	0.162471
"nearly four years"	0.158502
"nearly three months"	0.145602
"nine years"	0.144593
"more than three weeks"	0.144569
"more than seven years"	0.136734
"nearly three years"	0.135742
"more than two years"	0.128668
"almost two years"	0.128391
"nearly two months"	0.126375
"seven weeks"	0.123863
"more than five years"	0.120344
"more than eight years"	0.118576
"eight months"	0.117805
"more than @@ months"	0.117184
"nearly @@ months"	0.116031
"almost two weeks"	0.114084
"nearly two years"	0.113765
"about three months"	0.112417
"five decades"	0.112296
"last nine years"	0.110354
"nearly two weeks"	0.108701
"more than three months"	0.107383
"more than six months"	0.104343
"nearly @@ years"	0.102795
"six years"	0.0997593
"about four years"	0.0997153
"five weeks"	0.0985481
"more than six years"	0.0973907
"another four years"	0.0968017
"almost two months"	0.0957503
"eight weeks"	0.0954174
"two decades"	0.0936819
"more than @@ years"	0.0935101
"about three weeks"	0.0930762
"seven years"	0.0917912
"more than two weeks"	0.0914004
"about two months"	0.0911778
"more than four months"	0.0904796
"eight years"	0.0881774
"more than four decades"	0.0879067
"about @@ months"	0.0877454
"nearly three decades"	0.0876388
"almost @@ years"	0.0872129
"almost two decades"	0.0861118
"nearly three weeks"	0.0858086
"over @@@ years"	0.0839509
"about three years"	0.082379
"about @@ years"	0.0817932
"more than three decades"	0.0817534
"five months"	0.0817036
"nearly six years"	0.0792568
"nine weeks"	0.0776237
"more than @@@ years"	0.0759272
"more than two months"	0.0755432
"seven months"	0.0751727
"nine months"	0.0747128
"nearly two decades"	0.0742668
"another two weeks"	0.0735721
"three decades"	0.0732924
"up to six months"	0.0730174
"another two years"	0.0726038
"about three hours"	0.0720111
"four weeks"	0.0714519
"nearly seven years"	0.0702686
"more than two decades"	0.0702331
"about two weeks"	0.0698064
"another six months"	0.0685907
"about two years"	0.0683245
"seven decades"	0.0677701
"over @@ years"	0.0676244
"about five years"	0.0674552
"less than four months"	0.0660706
"about six hours"	0.0657833
"about six weeks"	0.0651859
"another @@ days"	0.065083
"up to three years"	0.063512
"up to @@ days"	0.0630275
"over two months"	0.0627824
"ten years"	0.06258
"almost three decades"	0.0615778
"another five years"	0.0610069
"eight days"	0.0609911
"Over three decades"	0.0604523
"one month"	0.0603522
"last four years"	0.0598264
"about two minutes"	0.0597447
"from @@@@-@@@@"	0.0587989
"more than one year"	0.0586765
"more than @,@@@ years"	0.0583301
"up to @@ months"	0.0582659
"nearly @@ hours"	0.0582316
"nine days"	0.0578492
"four decades"	0.0576575
"next @@ to @@ years"	0.0573918
"two to three weeks"	0.0568159
"nearly @@@ years"	0.0567476
"up to @@ years"	0.0559022
"nearly four hours"	0.0550945
"another @@ months"	0.0545236
"six decades"	0.0539185
"over two years"	0.0532667
"six days"	0.053036
history.	0.0515419
"more than @@ days"	0.0509367
"about @ @/@ hours"	0.0505862
"more than two hours"	0.0495457
"up to three months"	0.0494929
"seven hours"	0.0493117
"six to eight weeks"	0.0487607
"up to two years"	0.0481212
"two to three years"	0.0479151
"less than three years"	0.0472622
"three nights"	0.046652
"less than @@ hours"	0.0465864
"up to @@ minutes"	0.0463279
"another three years"	0.0462876
"last four months"	0.0448218
"another @@ years"	0.0447783
"three to six months"	0.0447759
"less than three weeks"	0.0447005
"over @@ years ago"	0.0444645
"about two hours"	0.0443097
"six hours"	0.0440298
"ten days"	0.043816
"nine years ago"	0.0429574
"up to five years"	0.0428909
"about five minutes"	0.0423777
"two nights"	0.0420828
"over @@ hours"	0.0415292
"time to come"	0.041205
"over two hours"	0.0408877
"more than four hours"	0.0406791
"last seven years"	0.0404603
"last five months"	0.0400076
))
("Almost three-quarters" (desc 1244.56) (sims
"Nearly three-quarters"	0.205995
"almost one-third"	0.12942
"More than three-quarters"	0.122576
"More than two-thirds"	0.10395
"nearly two-thirds"	0.102136
"About three quarters"	0.0919231
"Ninety percent"	0.0897921
three-quarters	0.0889333
"More than one-third"	0.0889286
"about three-fourths"	0.0883211
"about one-third"	0.0849193
"About @@.@ percent"	0.0847658
"Fifty percent"	0.0843205
"Fifteen percent"	0.0842031
"Twenty-five percent"	0.0840339
"about three-quarters"	0.0825044
three-fifths	0.0820524
"over two-thirds"	0.0812264
"Fifty-five percent"	0.0812138
one-fourth	0.0808205
"about three percent"	0.0807834
"More than three quarters"	0.0802061
"Forty-five percent"	0.0790451
Four-fifths	0.078559
"random sample"	0.0780635
"about one-fifth"	0.07787
"one third"	0.0773098
"over one third"	0.077261
"almost two-thirds"	0.0772018
"Eighty percent"	0.0770938
"more than three-fourths"	0.0769771
"representative sample"	0.0768355
three-fourths	0.0760932
"about five percent"	0.0759965
"over one-third"	0.0729502
"about one-fourth"	0.0716531
"nearly one-third"	0.0715648
"More than one third"	0.0714143
"Forty percent"	0.0712734
"Thirty percent"	0.0706369
"Sixty-five percent"	0.0693479
one-fifth	0.0691847
"nearly one third"	0.0678108
"Twenty percent"	0.0677953
"about one percent"	0.0667446
"one sixth"	0.0665018
thirds	0.065514
"Seventy percent"	0.0652772
Rossotti	0.0642073
"about one quarter"	0.0639997
"About @@ per cent"	0.0634066
"nearly one-fifth"	0.0617355
"Eighty-five percent"	0.0616934
plurality	0.0616481
"less than five percent"	0.0614033
"about one-quarter"	0.0613654
"Independent Electoral Commission"	0.0612277
Botswanan	0.0602919
"first third"	0.0598039
"nearly one-fourth"	0.0591456
"roughly two-thirds"	0.0586822
fifths	0.0580725
tenths	0.0579058
"Sixty percent"	0.0578945
"Ninety-five percent"	0.0569792
"one tenth"	0.0558432
"Ninety-nine percent"	0.0557874
"about two-thirds"	0.05577
one-sixth	0.0545139
"more than one-fourth"	0.0544146
"one fifth"	0.0543885
Rodionov	0.0533187
two-fifths	0.0530194
"less than @.@ percent"	0.0527426
creativeness	0.0520013
Ashrawi	0.051588
one-half	0.0515084
"Balkan Wars"	0.0505967
"absolute majority"	0.0500427
"cross section"	0.0498378
"South African National Defense Force"	0.0493189
"about two percent"	0.0487899
"three quarters"	0.0486205
"six percent"	0.0486016
"less than one percent"	0.0485875
"one quarter"	0.0485341
"about @ billion dollars"	0.0479341
"second person"	0.0477364
"about one third"	0.0473404
"more than one-fifth"	0.0472166
Tseng	0.0466645
"Another @@ million"	0.0464278
"roughly one-third"	0.0464245
Vasile	0.0463232
"another @@.@ percent"	0.0457974
one-tenth	0.0456248
Malawian	0.0455908
"Igor Sergeyev"	0.0454924
Warshaw	0.0453982
"Seventy-five percent"	0.0453961
reapportionment	0.0451701
eight-tenths	0.0451524
Merlino	0.0449806
planeloads	0.0449745
Sahnoun	0.0444749
"up to @@.@ percent"	0.0443292
"ten percent"	0.044226
"about one-tenth"	0.0442104
Newsome	0.044137
"More than @.@ million"	0.043755
"first decade"	0.0437083
"another @.@ percent"	0.0436449
"Vietnam News Agency"	0.0434819
twenty-four	0.0431076
Lileikis	0.0430911
processional	0.0430192
brunt	0.0426401
Hiddink	0.042638
busload	0.0424468
two-tenths	0.0423814
"One hundred percent"	0.0423712
Troussier	0.0422494
Venables	0.0421824
Kazhegeldin	0.0421643
Blix	0.0419383
choosing	0.0419285
"Pan Africanist Congress"	0.0418136
"time scale"	0.0417656
"about four percent"	0.0414755
Lari	0.041419
"Lu Ping"	0.0411788
oppressor	0.0411349
Iger	0.0409968
half-dozen	0.0408942
"nearly @@ million"	0.0407694
apportionment	0.0406983
two-third	0.0406593
"over @@.@ percent"	0.0406074
"about @@.@ million dollars"	0.0404394
"Bob Cousy"	0.0404138
three-tenths	0.040356
Masire	0.0401423
))
("almost two" (desc 1202.42) (sims
"Nearly two"	0.31607
"nearly four"	0.232048
"More than two"	0.214405
"less than two"	0.209927
"nearly three"	0.204461
"more than four"	0.191659
"more than six"	0.181482
"more than eight"	0.1811
"more than five"	0.173118
"more than three"	0.168166
"about @.@"	0.161633
"about eight"	0.158167
"up to two"	0.156734
"two to three"	0.136784
"More than nine"	0.136713
"more than seven"	0.134865
"almost @"	0.132568
"over six"	0.13213
"over four"	0.130795
"about nine"	0.130732
"about three"	0.128645
"about four"	0.128501
"another @"	0.125924
"up to three"	0.123113
"about six"	0.120245
"less than five"	0.119832
"about five"	0.119701
"about two"	0.119104
"Less than one"	0.117965
"three to five"	0.1167
"up to five"	0.113484
"over five"	0.107167
"over two"	0.105111
"nearly @"	0.104851
"close to @@"	0.104556
"five to @@"	0.101866
"about seven"	0.0997989
"four to five"	0.099623
"two to four"	0.0972238
"seven to @@"	0.0959901
"up to six"	0.0950955
"Another two"	0.0947795
"about @@@ to @@@"	0.0941737
"another seven"	0.0939547
"three to four"	0.0928387
"less than @@"	0.0921245
"almost @@"	0.0920753
"up to @"	0.091045
"over seven"	0.0887038
"another three"	0.0882496
"about @"	0.088035
"other @@@"	0.0854765
Nineteen	0.0850058
"nearly one"	0.083789
"roughly @@"	0.0823725
Thirty-eight	0.0807707
"another six"	0.0804334
"six to eight"	0.0796721
Thirteen	0.0782301
"more than one"	0.0775149
"eight to @@"	0.0774725
"Two hundred"	0.077456
"more than @"	0.0766744
"up to four"	0.0752791
"close to @@@"	0.0740624
"up to @@"	0.0737142
"up to eight"	0.0726144
"about @.@@"	0.0721063
Forty-four	0.0705778
"over @"	0.0694119
"six to @@"	0.0690753
"almost @,@@@"	0.0687263
Thirty	0.0682581
"almost @@@"	0.0680561
"roughly @@@"	0.0679381
Fifty	0.0674393
Sixteen	0.0671225
"nearly @@,@@@"	0.0657156
"about @@ to @@"	0.0651189
toss-up	0.0647619
Thirty-nine	0.064735
twenty	0.0645882
"about @@-@@"	0.0642846
"less than @"	0.0640037
"roughly one"	0.0624056
Thirty-six	0.0621936
"roughly @,@@@"	0.0621635
"next six"	0.0617639
"over three"	0.0602249
"first @@@"	0.0599672
Fifteen	0.0591667
Fourteen	0.0590125
"another four"	0.0586633
"four to six"	0.0586007
"more than @@@ pounds"	0.0585751
"close to @,@@@"	0.0582312
"Other @@"	0.0579694
"up to @@@,@@@"	0.0575289
"another nine"	0.0572194
"almost one"	0.0563308
Thirty-four	0.0560158
"A few key"	0.0551004
Forty-two	0.0549434
Forty-five	0.0548863
"nearly @,@@@"	0.0547744
"about @@.@ million"	0.0543982
"ten thousand"	0.0534873
Eighteen	0.0531567
"half a dozen"	0.0531323
"one and two"	0.0528217
"less than @@@"	0.0524761
"Two and three"	0.0522411
Forty-seven	0.0521926
"roughly @@,@@@"	0.0517263
Thibault	0.0516335
"up to @@@"	0.0510801
sixty	0.0509418
Thirty-one	0.0504173
"next three"	0.0498467
receipts	0.0497048
"almost @@,@@@"	0.0489792
Ainge	0.0485163
"Over one"	0.0485009
"another five"	0.0481933
"less than @,@@@"	0.0479582
"up to @,@@@"	0.047785
forty	0.0476103
"first words"	0.0472023
Thirty-five	0.046823
Okada	0.0468206
"Perez Balladares"	0.046579
"almost @@ million"	0.045858
"about @@@ pounds"	0.0456817
tossup	0.0453858
gopher	0.0452063
"almost @ million"	0.0450562
"more than @ billion"	0.0448605
"soda pop"	0.0447823
Braswell	0.0446793
"up to @@,@@@"	0.0445876
"Ethnic Albanian"	0.0442966
"more than ten"	0.0441566
"less than @@,@@@"	0.0441322
"more than @,@@@ pounds"	0.044096
"more than @@ yards"	0.0440461
"another @.@ million"	0.0437655
twenty-six	0.0436015
"Another eight"	0.0435614
"up to @ million"	0.0435402
"Nearly @.@ million"	0.0435333
Alcorn	0.0432458
tip-in	0.0431534
"Another @,@@@"	0.0428256
"Le Defi Francais"	0.0423137
eighty	0.0421255
Tarantino	0.0417418
"up to seven"	0.0416457
"more than @@ miles"	0.0416348
"Three and Four"	0.041385
Warnaco	0.0410906
"Koji Ito"	0.0403882
"two pounds"	0.0403336
))
("almost two decades" (desc 1692.62) (sims
"more than six years"	0.165321
"almost two weeks"	0.126618
"more than three weeks"	0.116654
"nearly two weeks"	0.114353
"nearly three months"	0.113674
"about three weeks"	0.11263
"more than @@ years"	0.10953
"nearly seven years"	0.108391
"more than eight years"	0.107562
"more than two decades"	0.107393
"more than three months"	0.106684
"nearly two months"	0.105232
"nearly six years"	0.101889
"more than two years"	0.101222
"seven weeks"	0.0997406
"more than five years"	0.0995967
"nearly five years"	0.098977
"more than three hours"	0.0988296
"almost three decades"	0.0962267
"almost two years"	0.0957752
"about six hours"	0.0951953
"two decades"	0.0944359
"more than two weeks"	0.0936101
"more than @@ months"	0.0929459
"more than four decades"	0.0920805
"up to six months"	0.0918735
"more than three decades"	0.091165
"another three years"	0.0903469
"nearly three decades"	0.0891412
"almost four years"	0.0885608
"nearly @@ months"	0.0876392
"more than four years"	0.0861174
"almost three years"	0.0861118
"more than four months"	0.0860615
"nearly three years"	0.086022
"more than seven years"	0.0851103
"nearly three weeks"	0.084154
"more than three years"	0.0835118
"over two months"	0.0831434
"over @@ hours"	0.0821207
"about six months"	0.0816773
"almost two months"	0.0814756
"more than five hours"	0.0814628
"more than one year"	0.0800343
"more than two months"	0.07942
"nearly two years"	0.0791622
"nine days"	0.0788873
"nearly @@ years"	0.0786325
"nearly @@ minutes"	0.0786277
"up to @@ minutes"	0.0776803
"nine years"	0.0775296
"nearly two hours"	0.0772595
"about @@ hours"	0.0771064
"more than four hours"	0.0769067
"almost @@ years"	0.0768353
"about @@ years"	0.076011
"up to @@ months"	0.0754542
"nearly four decades"	0.0744332
"more than @,@@@ years"	0.0741461
"eight days"	0.0729359
"nine weeks"	0.0728215
"about two months"	0.0725302
"about five minutes"	0.0713228
"five months"	0.0713079
"another two years"	0.0711806
"more than @@ days"	0.0702566
"four weeks"	0.0697306
"about four years"	0.0692513
"more than six months"	0.0688677
"over @@ years"	0.0687738
"nearly two decades"	0.0685938
"nine hours"	0.0678001
"about four hours"	0.0666078
"about three years"	0.0664702
"another @@ years"	0.0662397
"nearly four years"	0.0662014
"four decades"	0.0658914
"about two weeks"	0.0657554
"nearly three hours"	0.0652798
"about one hour"	0.0648158
"about three months"	0.0645511
"up to three months"	0.063939
"five hours"	0.0619414
"five weeks"	0.0613145
"three to six months"	0.06087
"about five hours"	0.0607706
"seven months"	0.0606444
"eight weeks"	0.0604309
"up to @@ days"	0.0604305
"about six weeks"	0.0601929
"more than two hours"	0.0600903
"over two years"	0.0595212
"nearly @@ hours"	0.0587449
"seven days"	0.0585681
"about two minutes"	0.0581071
"about two years"	0.0573174
"another five years"	0.0567166
"over @@@ years"	0.0566797
"about @@ days"	0.0558052
"four quarters"	0.0540578
"less than four months"	0.0538831
"less than three years"	0.0532307
"nearly four hours"	0.0531186
"more than @@ hours"	0.0524983
"up to @@ years"	0.0515129
"five to @@ years"	0.0513801
"another @@ days"	0.0511568
"up to @@ hours"	0.0510967
"about five years"	0.050119
"about @@ months"	0.0491698
"three to five years"	0.0491629
"another four years"	0.048413
"last six weeks"	0.0480053
"up to three years"	0.0478512
"past eight months"	0.0477087
"seven hours"	0.0467366
"ten years"	0.0457402
"next @@ minutes"	0.0456938
"about @@ to @@ minutes"	0.0452978
"more than @@@ years"	0.0448668
"more than @@ minutes"	0.0447762
"ten days"	0.0443699
"almost two hours"	0.044235
"over @@ minutes"	0.043821
"six decades"	0.0433449
"another @@ minutes"	0.0432368
"up to five years"	0.0422784
"last nine years"	0.0422272
"seven decades"	0.0419723
"over two decades"	0.0419688
"up to two years"	0.0418577
"five decades"	0.0415859
"another @@ months"	0.0404379
"another six months"	0.0404349
))
("almost two hours" (desc 1064.8) (sims
"nearly four hours"	0.245169
"more than three hours"	0.227901
"nearly three hours"	0.214853
"more than five hours"	0.209007
"nearly two hours"	0.185054
"more than two hours"	0.180543
"about one hour"	0.178785
"nearly @@ minutes"	0.171514
"about six hours"	0.168524
"about @ @/@ hours"	0.166065
"more than four hours"	0.157882
"over two hours"	0.157223
"nine hours"	0.146958
"seven hours"	0.132196
"over @@ hours"	0.131265
"about two hours"	0.122842
"six hours"	0.122711
"five hours"	0.122509
"up to @@ minutes"	0.1202
"about @@ minutes"	0.119761
"more than @@ minutes"	0.11789
"about six months"	0.115591
"about four hours"	0.11464
"about five hours"	0.113074
"three hours"	0.107645
"nearly @@ hours"	0.103828
"more than @@ days"	0.0984129
"about three hours"	0.0978072
"about six weeks"	0.0977215
"more than six months"	0.0975739
"over @@ years ago"	0.0973174
"four hours"	0.096686
"about @@ hours"	0.0966377
"three to six months"	0.095549
"more than five minutes"	0.09436
"over @@ minutes"	0.0941646
"about @@ months"	0.0938388
"less than two hours"	0.0915383
"about two minutes"	0.0906539
"one hour"	0.0900639
"about two years"	0.0858821
"about two months"	0.0856894
"another four years"	0.0842398
"another @@ months"	0.0834577
"Ten minutes"	0.0823276
"another @@ minutes"	0.0822354
"about five minutes"	0.0812002
"more than four years"	0.0804316
"six to eight weeks"	0.0799816
"more than @@ hours"	0.0799735
"one weekend"	0.0790311
"more than three months"	0.0782448
"nearly two weeks"	0.0767755
"another two years"	0.0758468
"less than @@ minutes"	0.0755995
"five weeks"	0.0741589
"more than eight years"	0.0729407
"two to three years"	0.0727788
"about four years"	0.0711746
"up to two years"	0.0709648
"eight minutes"	0.0704878
"more than two months"	0.0676799
"almost two years"	0.0669288
"eight hours"	0.0668779
"up to three years"	0.0663585
"about three weeks"	0.0662601
"Feb @@-@@"	0.0659237
"about @@ to @@ minutes"	0.0653929
"about @@ days"	0.0652705
"up to @@ hours"	0.0641432
"almost @@ years"	0.0640197
"more than two years"	0.0640027
"nearly two months"	0.0634412
"another @@ years"	0.0631128
"more than one year"	0.0630093
"up to three months"	0.0627582
"more than @@ months"	0.06229
"Jan @@-@@"	0.0609267
"four to six weeks"	0.0606673
"about @ hours"	0.0597808
"nearly three weeks"	0.0592027
"another six months"	0.0591579
"up to six months"	0.0589384
"up to five years"	0.0578451
"another @@ days"	0.0556077
"Five days ago"	0.0546056
"more than two weeks"	0.054482
"less than @@ hours"	0.0539803
"another two weeks"	0.0539451
"up to @@ years"	0.0532424
"about three months"	0.0528508
"Aug @@-@@"	0.051673
"more than three decades"	0.0509193
"more than six years"	0.0508511
"more than @@@ years ago"	0.0483897
"Oct @@-@@"	0.0480504
"seventh day"	0.0478836
mid-morning	0.0476276
"seven decades"	0.0476211
"nearly two decades"	0.0473747
five-hour	0.047255
"over @@ days"	0.0471289
"more than @,@@@ years"	0.0468742
"seven weeks"	0.046594
"about three years"	0.0463829
"Nov @@-@@"	0.0461511
"past three days"	0.0460437
"over two months"	0.0457343
"almost two months"	0.0446059
"more than three weeks"	0.0446011
one-hour	0.0443459
"almost two decades"	0.044235
"almost two weeks"	0.0429744
"almost three decades"	0.0426109
"Over three decades"	0.0424556
"up to two weeks"	0.0421981
"another three years"	0.0407235
"ten days"	0.040693
ft	0.0405885
"more than @.@ billion US dollars"	0.0401546
))
("almost two months" (desc 1412.06) (sims
"nearly three months"	0.189613
"more than three weeks"	0.169862
"more than two months"	0.143592
"nearly three decades"	0.13596
"nearly @@ months"	0.126822
"nearly two years"	0.124799
"nearly two weeks"	0.121089
"nearly two months"	0.120916
"more than eight years"	0.120072
"more than six years"	0.118808
"almost four years"	0.116899
"more than six months"	0.111014
"nearly three weeks"	0.110772
"more than three years"	0.110385
"more than five years"	0.10975
"more than one year"	0.10971
"about two weeks"	0.108192
"almost two years"	0.107481
"nearly @@@ years"	0.106885
"nearly six years"	0.106014
"nearly three years"	0.105788
"almost two weeks"	0.10516
"more than four decades"	0.103592
"more than @@ months"	0.100525
"almost @@ years"	0.100259
"more than two weeks"	0.097794
"six decades"	0.096517
"more than three decades"	0.0964566
"almost three years"	0.0957503
"seven weeks"	0.0947624
"more than seven years"	0.092566
"more than two years"	0.0923032
"nearly @@ years"	0.0915227
"five decades"	0.0911121
"another two weeks"	0.0896375
"five weeks"	0.0892154
"nine years"	0.0890263
"more than @@ days"	0.0888346
"nearly seven years"	0.0879249
"more than two decades"	0.0877054
"more than four years"	0.0871345
"almost three decades"	0.0854457
"about six weeks"	0.0849679
"seven months"	0.0828378
"almost two decades"	0.0814756
"up to six months"	0.0808994
"more than three months"	0.0800021
"more than four months"	0.0796231
"about @@ years"	0.0791058
"nine months"	0.0784418
"more than three hours"	0.0783213
"about three years"	0.0773186
"five months"	0.0770452
"nearly five years"	0.0770292
"six to eight weeks"	0.0766304
"nearly @@ hours"	0.0764826
"nearly four years"	0.0763358
"two decades"	0.0748907
"about two hours"	0.0734783
"eight days"	0.0724349
"nearly two decades"	0.0714266
"eight months"	0.0703747
"about two minutes"	0.069191
"eight weeks"	0.0687891
"six days"	0.0676076
"about three weeks"	0.0658619
"nine weeks"	0.0654341
"about two months"	0.0636456
"four decades"	0.0632915
"more than @@ hours"	0.0620587
"seven decades"	0.061836
"about two years"	0.0616433
"more than five minutes"	0.0615327
"another @@ years"	0.0608805
"about @@ hours"	0.0602431
"nearly four decades"	0.0602187
"four weeks"	0.060203
"about five minutes"	0.0591751
"about three months"	0.058997
"up to @@ hours"	0.0585629
"up to @@ months"	0.0578186
"more than four hours"	0.0572622
"more than @,@@@ years"	0.05716
"nearly @@ minutes"	0.0565103
"another @@ minutes"	0.0553387
"up to @@ days"	0.0545547
"first four days"	0.0537464
"about six months"	0.053345
"over two months"	0.0531675
"nearly three hours"	0.0529382
"up to two years"	0.0527661
"more than @@@ years"	0.0521041
"last nine years"	0.0514395
"up to @@ minutes"	0.051261
"over @@ hours"	0.0505649
"over two days"	0.0500274
"up to @@ years"	0.0499411
"about @,@@@ years ago"	0.0492871
"first three weeks"	0.0491874
"nine hours"	0.0475507
"more than @@ minutes"	0.0474672
"past seven years"	0.0469985
"eight hours"	0.045401
"up to three years"	0.0452649
"over two years"	0.0450659
"last five months"	0.0448444
"almost two hours"	0.0446059
"another four years"	0.0444851
"less than @@ hours"	0.0444811
"previous two years"	0.0443956
"past @@ days"	0.0440685
"another two years"	0.0437978
"three centuries"	0.0431266
"Sunday, May @@"	0.0430169
"about two years ago"	0.0422843
"up to two weeks"	0.042216
"Aug @@-@@"	0.0421964
"more than two years ago"	0.0417426
"about six hours"	0.0415299
"four to six weeks"	0.0413812
"eight months ago"	0.04129
"last three weeks"	0.0412168
"over @@@ years"	0.0408665
"ten days"	0.0405505
"more than two hours"	0.0402838
))
("almost two weeks" (desc 1409.42) (sims
"nearly two months"	0.147435
"nearly three weeks"	0.134762
"more than three weeks"	0.129823
"nearly five years"	0.129763
"nearly two weeks"	0.129569
"almost two decades"	0.126618
"nearly three months"	0.122259
"more than three months"	0.118339
"more than three years"	0.115703
"more than eight years"	0.115675
"more than two months"	0.115433
"almost three years"	0.114084
"more than six months"	0.112747
"almost four years"	0.110525
"more than two years"	0.109473
"nearly two years"	0.10704
"more than four decades"	0.105231
"almost two months"	0.10516
"nearly three decades"	0.1038
"more than four years"	0.103699
"eight days"	0.0995099
"nearly four decades"	0.0970334
"more than five hours"	0.0970006
"nearly three years"	0.096375
"seven weeks"	0.0962958
"more than two decades"	0.0959153
"nine weeks"	0.0952406
"over @@ hours"	0.0947421
"more than five years"	0.093581
"almost three decades"	0.0922441
"about @@ hours"	0.0920659
"four decades"	0.0903826
"almost two years"	0.0903248
"almost @@ years"	0.0857348
"about two weeks"	0.0856004
"more than six years"	0.0850741
"five weeks"	0.0849195
"nearly two hours"	0.0846485
"nearly @@ hours"	0.084353
"more than three decades"	0.082939
"nearly four years"	0.0819331
"about three weeks"	0.0808287
"nearly @@ years"	0.0804315
"more than four months"	0.0791721
"about four years"	0.0786981
"another @@ years"	0.0783292
"more than @@ months"	0.0779725
"nearly @@ months"	0.0777285
"nearly @@ minutes"	0.0777068
"two nights"	0.0775007
"three decades"	0.0774419
"over two months"	0.0761818
"more than one year"	0.0760314
"seven months"	0.0759648
"eight weeks"	0.0759504
"four weeks"	0.0755768
"more than two hours"	0.0754571
"over @@ years"	0.0752142
"eight months"	0.0739814
"seven decades"	0.0738709
"about four hours"	0.0735161
"last nine years"	0.0731425
"about one hour"	0.0724136
"nearly two decades"	0.0717469
"about two hours"	0.0717124
"about @@ days"	0.0713522
"five hours"	0.0701453
"about two months"	0.0689033
"ten years"	0.067379
"more than seven years"	0.0673696
"nine days"	0.0657062
"over two hours"	0.0638817
"more than three hours"	0.0620157
"about three hours"	0.0608849
"three nights"	0.060526
"seven days"	0.0603803
"about six weeks"	0.0603233
"about six hours"	0.059893
"about three months"	0.0588271
"about two minutes"	0.0579795
"more than four hours"	0.0575263
"about @@ years"	0.0568246
"nearly four hours"	0.0568087
"about six months"	0.0555926
"two to three years"	0.0552467
"over two years"	0.0540552
"more than @@ days"	0.0527343
"nearly seven years"	0.0526561
"nine hours"	0.0521805
"seven hours"	0.052005
"more than @@ hours"	0.0518552
"nearly six years"	0.050579
"ten days"	0.0490215
"six to eight weeks"	0.048739
"about two years"	0.0484004
"more than five minutes"	0.0481341
"up to @@ minutes"	0.0471696
"Over three decades"	0.0471437
al-Nahyan	0.0453479
"Five months ago"	0.0447907
years.	0.0446092
"over @@@ years"	0.0441676
"less than three months"	0.0439603
"about @@ months"	0.0435735
"almost two hours"	0.0429744
"about @,@@@ years ago"	0.0420098
"more than two weeks"	0.0419308
"over three years"	0.0410735
"another @@ months"	0.0409073
"over five years"	0.0404972
))
("almost two years" (desc 4112.91) (sims
"nearly two years"	0.191309
"almost four years"	0.182361
"more than two years"	0.175751
"nearly three years"	0.175266
"more than five years"	0.174622
"more than three years"	0.157002
"nearly four years"	0.151116
"more than four months"	0.14832
"nearly two months"	0.145863
"more than two months"	0.145249
"nearly three months"	0.144647
"more than four years"	0.137501
"more than @@ months"	0.137054
"nearly five years"	0.131239
"nearly six years"	0.130557
"nine years"	0.128654
"almost three years"	0.128391
"more than three weeks"	0.128129
"more than six months"	0.127105
"almost @@ years"	0.125758
"more than eight years"	0.119712
"six years"	0.118377
"more than seven years"	0.117935
"more than @@ years"	0.116518
"nearly @@ years"	0.115817
"nearly seven years"	0.11237
"more than six years"	0.11131
"nearly @@ months"	0.111198
"eight years"	0.109064
"seven years"	0.10797
"almost two months"	0.107481
"four months"	0.105558
"two years"	0.10457
"seven weeks"	0.102804
"nine months"	0.10063
"nearly two decades"	0.100575
"nearly two weeks"	0.0995233
"three months"	0.0982368
"more than three months"	0.0982262
"four years"	0.0977859
"three years"	0.0976149
"more than one year"	0.0964763
"eight months"	0.0960546
"almost two decades"	0.0957752
"more than two weeks"	0.0953299
"more than two decades"	0.0949349
"about four years"	0.0929086
"about two years"	0.0922085
"five years"	0.0916205
"three weeks"	0.0915489
"nearly three decades"	0.0914699
"eight weeks"	0.090987
"about two months"	0.0909084
"five months"	0.0904462
"almost two weeks"	0.0903248
"over two years"	0.0897504
"six weeks"	0.088789
"more than three decades"	0.0878557
"eight days"	0.0873626
"over two months"	0.0870274
"another four years"	0.0864002
"seven decades"	0.08589
"seven months"	0.085663
"two decades"	0.0824539
"two months"	0.0820277
"five weeks"	0.080938
"last nine years"	0.0798595
"about @@ months"	0.0795179
"about three weeks"	0.0795097
"another two years"	0.0786313
"almost three decades"	0.0784412
"more than @@@ years"	0.0759679
"ten years"	0.0746869
"six months"	0.073757
"six decades"	0.0735594
"about six months"	0.073243
"nine weeks"	0.072933
"four weeks"	0.0728709
"about three years"	0.0719968
"about @@ years"	0.0718506
"more than four decades"	0.0711591
"one year"	0.0710229
"more than @@ minutes"	0.0704365
"up to @@ months"	0.0699234
"a few weeks"	0.0695035
"nearly four decades"	0.0693872
"four decades"	0.0689967
"six days"	0.0684131
"more than @@ hours"	0.0681497
"about two weeks"	0.0680623
"a few years"	0.0680132
"almost two hours"	0.0669288
"three to six months"	0.0662813
"three decades"	0.0662486
"nearly @@@ years"	0.0657754
"last nine months"	0.0657145
"about three months"	0.0657113
"over @@ years"	0.0656055
"more than @@ days"	0.0651922
"a few months"	0.0641101
"nearly @@ hours"	0.0638386
"two to three years"	0.0629348
"nearly two hours"	0.0628756
"last four years"	0.0624604
"five decades"	0.0622715
"up to two years"	0.0609046
"up to five years"	0.060798
"over two decades"	0.0607635
"past @@ months"	0.060279
"nearly three weeks"	0.058921
"nearly @@ minutes"	0.0584179
"another @@ years"	0.058018
"another six months"	0.0574891
"another @@ days"	0.0573161
"nine hours"	0.0561774
"over @@@ years"	0.0561406
"four days"	0.0560967
"three hours"	0.0550622
"up to @@ years"	0.0541306
"another five years"	0.054069
"nine days"	0.0534174
"up to @@ days"	0.0530816
"last six years"	0.0530547
quarter-century	0.0526683
"six to eight weeks"	0.0524319
"last three years"	0.052008
"up to @@ minutes"	0.0516755
"five hours"	0.0514925
"about six weeks"	0.051043
"six hours"	0.0498468
"more than five minutes"	0.0497088
"five days"	0.04896
"past four years"	0.048892
"another three years"	0.0487618
"about two minutes"	0.0483963
"four hours"	0.0476657
"up to three years"	0.0476521
"more than @,@@@ years"	0.0476382
"less than three months"	0.047447
"a few hours"	0.0469097
"one year ago"	0.0464716
"two minutes"	0.0464521
"more than two hours"	0.0463351
"up to @@ hours"	0.0462424
"third month"	0.0458936
"up to six months"	0.0458043
"past six years"	0.0452759
"eight hours"	0.0452481
"one hour"	0.0450603
"Less than two weeks"	0.0448628
"hundred years"	0.0445945
"about @@ hours"	0.043991
"second month"	0.0438036
"second year"	0.0436382
"more than three hours"	0.0434893
"about six hours"	0.0434801
"sixth time"	0.0432965
"last six months"	0.0427795
"four nights"	0.0425641
"another two weeks"	0.0423815
"last three months"	0.0418395
"about five years"	0.0415093
"last @@ months"	0.0409156
"last seven years"	0.0408157
"about @@ days"	0.0405166
"second week"	0.0403534
))
("almost two-thirds" (desc 2070.07) (sims
"nearly two-thirds"	0.278954
"Sixty-five percent"	0.263422
"More than three-quarters"	0.246391
"nearly one-fifth"	0.221584
"Sixty percent"	0.220644
"More than two-thirds"	0.201752
"roughly two-thirds"	0.199273
"More than one third"	0.196093
"Seventy percent"	0.195914
"about three-quarters"	0.190696
"almost one-third"	0.184592
three-fourths	0.179952
"Fifteen percent"	0.178711
"about one-quarter"	0.178189
"Fifty-five percent"	0.176648
"Seventy-five percent"	0.172525
"about one-fifth"	0.170823
"about three-fourths"	0.169947
"Nearly three-quarters"	0.167431
"About three quarters"	0.167124
"Forty percent"	0.165988
"About @@ per cent"	0.165459
"nearly one-third"	0.164193
"Eighty-five percent"	0.163181
"about one-third"	0.16183
"Twenty percent"	0.161153
"Fifty percent"	0.160429
"Thirty percent"	0.15934
"About @@.@ percent"	0.15897
"more than one-fourth"	0.158337
"Twenty-five percent"	0.157686
"about two-thirds"	0.157639
"nearly one-fourth"	0.157362
"More than one-third"	0.153674
"Forty-five percent"	0.152286
"Ninety percent"	0.150437
"about one-fourth"	0.14849
two-fifths	0.148244
"Eighty percent"	0.148231
one-fourth	0.147491
thirds	0.145628
"about five percent"	0.145233
"nearly one third"	0.145025
Four-fifths	0.140013
"more than one-fifth"	0.136589
"about one quarter"	0.134875
two-thirds	0.13317
"random sample"	0.132712
"over one-third"	0.132711
"about one percent"	0.130381
"representative sample"	0.130043
three-fifths	0.127501
"less than five percent"	0.127292
"over two-thirds"	0.126973
one-fifth	0.125563
"ten percent"	0.124462
"one fifth"	0.123422
"More than three quarters"	0.122814
three-quarters	0.119127
"less than @.@ percent"	0.115399
"more than three-fourths"	0.114097
one-third	0.113411
"one sixth"	0.110817
"about one third"	0.108526
"over one third"	0.106286
"one third"	0.104335
"roughly one-third"	0.103234
one-quarter	0.101163
one-seventh	0.101102
"about one-tenth"	0.0987216
"another @@.@ percent"	0.0985217
"more than @.@ percent"	0.0978323
"one tenth"	0.0966908
"Ninety-five percent"	0.0960507
"about four percent"	0.0935369
"about three percent"	0.0918566
bulk	0.0901002
"less than one percent"	0.089246
"about @.@ percent"	0.0889547
"less than one-third"	0.0888924
twenty-eight	0.0883686
one-eighth	0.0881377
one-sixth	0.0880821
"three quarters"	0.0880514
"another third"	0.0879981
fifths	0.0876916
"one quarter"	0.0872271
"Ninety-nine percent"	0.085657
"about @ percent"	0.0846633
fraction	0.0833971
"nine percent"	0.0813884
Twenty-five	0.0812165
percent	0.0797444
"about @.@@ percent"	0.0773755
"Almost three-quarters"	0.0772018
"six percent"	0.0764882
"about @@.@ million"	0.0727145
swapping	0.0726042
"eight percent"	0.0706253
"about two percent"	0.0690885
"over @@.@ percent"	0.0687228
tenth	0.068608
"two percent"	0.0683305
maltreatment	0.0683018
"seven percent"	0.0678421
subset	0.0654359
divestment	0.0653487
"three percent"	0.0637369
half-dozen	0.0633407
"five percent"	0.0614902
"cross section"	0.0610819
enumeration	0.0598507
"about @.@ million"	0.0591923
diminution	0.0591236
"four percent"	0.0585778
nine-tenths	0.058095
"One hundred percent"	0.0580291
"absolute majority"	0.0579608
plurality	0.0579463
"about @ million"	0.0577937
"legal right"	0.0576859
agglomeration	0.057511
"one penny"	0.0573992
"about @.@ million tons"	0.0570838
one-half	0.056972
twenty-two	0.0563058
one-tenth	0.0562798
birthright	0.0553435
targeting	0.0534509
"a few pounds"	0.0531659
"nearly $@@@ billion"	0.0531389
scattering	0.0515721
"five million"	0.0509386
"one percent"	0.0508119
Hamlin	0.0507441
scad	0.0500143
"more than @ million tons"	0.0493785
"million tons"	0.0493589
"cancer death"	0.049286
lode	0.0485759
"about $@@@ billion"	0.0481267
sliver	0.0480561
"good part"	0.0479901
Twenty-three	0.0478528
"nearly @@ million"	0.0477559
reminded	0.0474549
tabulation	0.0474194
"about @@@,@@@ tons"	0.0472649
twenty-six	0.0471771
apotheosis	0.0471677
"over @@ million tons"	0.0463875
"about six"	0.0461936
"less than one-tenth"	0.0461448
"about @@ million"	0.0459867
"nearly @ million"	0.0459007
roomful	0.0455518
Braugher	0.0455118
"two million tons"	0.0454833
preponderance	0.0452679
trashing	0.0449298
"about @@@ million dollars"	0.0448039
"full page"	0.044431
lessening	0.0443495
"almost one"	0.0441864
"another @.@ percent"	0.0441598
upsets	0.0438872
"about @@@ percent"	0.0437325
"more than @ million"	0.0437197
"more than @@ billion yuan"	0.0435182
harvesting	0.0435166
Rothenberg	0.0434688
"six million tons"	0.0434629
two-third	0.0434166
multiplicity	0.0433717
reallocation	0.0433432
"more than six"	0.0432195
bringing	0.0430546
"more than @@,@@@ tons"	0.042143
smattering	0.0421061
adherent	0.0419964
"about @@ pounds"	0.0417495
wipeout	0.0416931
"head count"	0.0415785
"core group"	0.0415389
"exact opposite"	0.0414954
"More than @.@ million"	0.0410853
"sense of balance"	0.0410348
"about @ pounds"	0.0410235
arming	0.0409414
"lead poisoning"	0.040892
reiteration	0.0408157
deferral	0.040552
Quebecers	0.0405012
"five million tons"	0.0403013
comprised	0.0402541
planeloads	0.0401591
Guerra	0.0401438
tripling	0.0401294
"two tons"	0.0401079
"Mike Leavitt"	0.0401049
))
(Aloha (desc 1432.23) (sims
Nakamura	0.0762663
"Fighting Irish"	0.0754711
Pendleton	0.0740116
anything-goes	0.0645144
"Brooks Brothers"	0.0629236
"English Football Association"	0.0622173
Pugh	0.0614378
gingham	0.0601382
Tai	0.0589657
Bobo	0.0555885
OCA	0.0534416
Aggie	0.0528348
Yo	0.0518845
riddance	0.050278
HKMA	0.0496213
Cyrus	0.0494817
Agilent	0.0488518
O'Connor's	0.0487574
rayon	0.0486227
"Banana Republic"	0.0477364
adieu	0.0475354
"Trans World Airlines"	0.0474083
trifle	0.0461631
USATF	0.0460816
snakeskin	0.0457965
Bi	0.0453421
Luddite	0.0448249
fiesta	0.0441632
"Southwest Airlines"	0.0439788
ping-pong	0.0439544
"UAL Corp."	0.0436634
"American Lung Association"	0.0435202
"Hartford Courant"	0.0433749
yuletide	0.043273
"Sun City"	0.043102
"Delta Air Lines"	0.042809
"USA Basketball"	0.0419916
Sana	0.0419705
Burnt	0.041953
SAA	0.0415384
Burnout	0.0410665
student-athlete	0.0410216
Nippon	0.0409888
Gathers	0.040899
CMG	0.0408478
BOJ	0.0406846
Chopra	0.0405361
"Delta Airlines"	0.0405204
"New Frontier"	0.0401949
"Cathay Pacific"	0.0400787
Medtronic	0.0400308
))
(Alomar (desc 6060.69) (sims
Lofton	0.238283
Rolen	0.206227
"Roberto Alomar"	0.198655
"Sandy Alomar"	0.179799
Lankford	0.177512
Ramirez	0.174776
Vizquel	0.172163
Thome	0.170836
Burnitz	0.168814
Alfonzo	0.167252
"Travis Fryman"	0.166205
Higginson	0.165338
Cirillo	0.164574
Vidro	0.163245
DeShields	0.162055
Ripken	0.161361
Palmeiro	0.159694
Valentin	0.159356
"Scott Spiezio"	0.158325
Dunston	0.157312
"Omar Vizquel"	0.156216
Klesko	0.155845
Caminiti	0.154908
Biggio	0.153777
"Joey Cora"	0.153709
Beltran	0.153313
"Mark Kotsay"	0.151542
Brosius	0.15036
Erstad	0.149976
Lieberthal	0.149549
"Damian Miller"	0.149126
Fryman	0.148021
Agbayani	0.147416
"Jim Thome"	0.147379
"Jose Vidro"	0.1472
Renteria	0.146895
"Eric Owens"	0.145084
"John Vander Wal"	0.144677
"David Bell"	0.143818
Beltre	0.143204
"Jeff Conine"	0.143179
"Matt Lawton"	0.143011
Glaus	0.142929
"Enrique Wilson"	0.142279
"Edgardo Alfonzo"	0.142269
"Richie Sexson"	0.141752
"J.T Snow"	0.141588
Fullmer	0.14152
Abreu	0.141428
"Kevin Young"	0.141425
"Paul Konerko"	0.141368
"Eric Karros"	0.141208
"Jason Kendall"	0.140621
Karros	0.140486
"Marquis Grissom"	0.140043
"Geoff Jenkins"	0.139943
grieve	0.139478
Womack	0.139263
Bordick	0.139231
Aurilia	0.139078
Segui	0.138616
Velarde	0.138467
"Marvin Benard"	0.137803
Rodriguez	0.137203
"Carlos Lee"	0.13703
Elster	0.136704
"Vladimir Guerrero"	0.136378
Nevin	0.136311
Olerud	0.136296
"Warren Morris"	0.135918
Larkin	0.135745
Grudzielanek	0.135625
"Joe Randa"	0.135618
"Damian Jackson"	0.135467
"Scott Brosius"	0.135392
"Craig Biggio"	0.135167
Giambi	0.134988
Knoblauch	0.134963
"Scott Rolen"	0.134898
Cora	0.134814
McLemore	0.13466
DiSarcina	0.134321
"Mark Loretta"	0.134265
"Bobby Higginson"	0.13421
Alicea	0.133994
Varitek	0.13398
Veras	0.133781
"Adam Kennedy"	0.133765
"Jose Valentin"	0.133728
"Benny Agbayani"	0.133723
"Deivi Cruz"	0.133474
"Kenny Lofton"	0.13345
"Brian Hunter"	0.133382
Mabry	0.133281
"Troy Glaus"	0.132936
Canseco	0.132917
"Kevin Stocker"	0.132447
"Derrek Lee"	0.132006
"Dean Palmer"	0.131736
Hundley	0.131217
"Brady Anderson"	0.131126
"Bill Mueller"	0.130909
"Dante Bichette"	0.130728
"Will Clark"	0.13034
Bagwell	0.130134
"Sean Casey"	0.129897
"Henry Rodriguez"	0.129562
"Jose Offerman"	0.129557
"Tony Batista"	0.129473
"Einar Diaz"	0.129405
Garciaparra	0.129046
Gant	0.129029
"Mike Sweeney"	0.128882
Zeile	0.128473
"Bobby Abreu"	0.128449
"Manny Ramirez"	0.127938
"Chuck Knoblauch"	0.12792
"Harold Baines"	0.127861
"Ron Coomer"	0.127197
Castilla	0.127105
"Bill Spiers"	0.126755
Ordonez	0.126513
Cedeno	0.126493
Brogna	0.126338
"Jay Bell"	0.126022
Leyritz	0.125912
Offerman	0.125727
Surhoff	0.125393
McGriff	0.125385
"Todd Pratt"	0.125216
"Tino Martinez"	0.12521
"Fred McGriff"	0.125091
"Alex Rodriguez"	0.12473
Alou	0.12466
"Barry Larkin"	0.124392
Ledee	0.124243
Glanville	0.124104
"Edgar Martinez"	0.12387
"Eddie Taubensee"	0.123764
Griffey	0.123113
"Pokey Reese"	0.122788
"Randy Velarde"	0.122654
Stinnett	0.122577
"Rich Aurilia"	0.122225
"Jason Varitek"	0.122193
"Joe McEwing"	0.122131
"Paul Bako"	0.121672
"Miguel Cairo"	0.121646
"Tony Womack"	0.12147
Jeter	0.121191
"Jeff Kent"	0.120886
"Ray Lankford"	0.120764
Molina	0.12064
"Adrian Beltre"	0.120392
Burks	0.120315
"Tim Salmon"	0.11971
"Richard Hidalgo"	0.119655
"Dmitri Young"	0.119652
"Tony Eusebio"	0.119632
Hollins	0.119525
"Chipper Jones"	0.119391
"Todd Hundley"	0.11917
"Matt Walbeck"	0.119132
"Bengie Molina"	0.119004
"Mickey Morandini"	0.118926
"Phil Nevin"	0.118879
Merloni	0.118712
Hollandsworth	0.11869
"Gary Sheffield"	0.118514
Sexson	0.117942
"Herbert Perry"	0.117923
"Luis Alicea"	0.117854
"Todd Walker"	0.117419
Frye	0.117316
Guillen	0.117101
"Eric Young"	0.117042
"Dave Hansen"	0.11689
Delgado	0.116772
Lawton	0.116692
"Chris Widger"	0.11653
Daubach	0.116528
"Dan Wilson"	0.116305
Galarraga	0.116051
Hatteberg	0.115927
Spiers	0.115785
"Tim Bogar"	0.115722
"Matt Franco"	0.115504
"Derek Jeter"	0.115243
"Ray Durham"	0.114948
"Craig Counsell"	0.11481
"Mike Lansing"	0.114751
Buhner	0.114642
"Darren Lewis"	0.114582
"Glenallen Hill"	0.114203
"Jay Buhner"	0.114174
Gwynn	0.114168
"Bret Boone"	0.114155
"Rondell White"	0.114089
Baerga	0.113983
Randa	0.113943
Tatis	0.11388
"Bruce Aven"	0.113756
Batista	0.113749
"Danny Bautista"	0.113656
"Alex Gonzalez"	0.113428
"Jason Giambi"	0.113284
"Ken Caminiti"	0.113161
"Bubba Trammell"	0.112779
"Matt Williams"	0.11268
Sojo	0.112471
"Andres Galarraga"	0.11221
"Ivan Rodriguez"	0.111946
Sosa	0.111902
"Javy Lopez"	0.111726
"Eric Chavez"	0.111593
Catalanotto	0.111552
"Todd Helton"	0.111541
"Jose Hernandez"	0.111311
Vaughn	0.111267
"Ruben Rivera"	0.110848
"Devon White"	0.110784
Cordero	0.110486
Kapler	0.110485
"Brian Giles"	0.109636
"Pat Meares"	0.109449
"Andruw Jones"	0.109261
"Mark Grudzielanek"	0.109247
Piazza	0.109087
Greer	0.109081
Gilkey	0.108938
Bichette	0.108938
"Ryan Klesko"	0.108636
"Walt Weiss"	0.10863
"Andy Fox"	0.108515
"Todd Hollandsworth"	0.108196
"Robin Ventura"	0.108161
"Tony Clark"	0.108154
"Preston Wilson"	0.107962
"David Dellucci"	0.107291
"Gerald Williams"	0.107258
"Mark Grace"	0.107218
"Jeff Bagwell"	0.107099
"Rafael Palmeiro"	0.106974
"Chili Davis"	0.106948
"Orlando Palmeiro"	0.106913
"Mike Lieberthal"	0.10678
"Jose Canseco"	0.106683
Cabrera	0.106339
"Fernando Vina"	0.106316
"Johnny Damon"	0.106103
"Kelly Stinnett"	0.106088
Goodwin	0.105977
Helton	0.105567
"John Olerud"	0.105459
"Rickey Henderson"	0.10512
"Darin Erstad"	0.105107
Tejada	0.105036
Lugo	0.104925
"Mike Stanley"	0.10476
"Tom Goodwin"	0.104543
"Jim Leyritz"	0.104535
"Jorge Posada"	0.104462
Clayton	0.104306
Vizcaino	0.104085
"Jeff Cirillo"	0.104038
"John Valentin"	0.103738
"Derek Bell"	0.103415
"Todd Zeile"	0.103395
"Russ Davis"	0.103235
Mora	0.103201
Hidalgo	0.1032
Furcal	0.103136
"Quilvio Veras"	0.103069
Konerko	0.103043
"Frank Thomas"	0.102752
"Steve Finley"	0.10261
"Brad Ausmus"	0.102523
Bonilla	0.102398
"Mark McLemore"	0.1023
"Carlos Delgado"	0.102121
Easley	0.102102
"Lance Berkman"	0.102013
"Keith Lockhart"	0.101859
"Luis Lopez"	0.101826
"Eddie Perez"	0.101476
Counsell	0.101073
Boone	0.100927
Finley	0.10091
"Trot Nixon"	0.100859
"Miguel Tejada"	0.100775
"Mike Lamb"	0.100749
"Tony Graffanino"	0.100576
"Tony Phillips"	0.10055
"Luis Castillo"	0.100513
"Joe Girardi"	0.100476
"Kevin Elster"	0.100439
"Cristian Guzman"	0.100428
"Ricky Gutierrez"	0.100308
Bergeron	0.100296
"Desi Relaford"	0.100265
Ausmus	0.100154
Guerrero	0.100084
))
(Alonso (desc 2080.14) (sims
Joachim	0.112325
Raoux	0.109142
Mantilla	0.101907
"Julian Alonso"	0.0954272
Berasategui	0.0923582
Suarez	0.0865291
"Albert Costa"	0.0863948
"Joannette Kruger"	0.0847582
Clavet	0.083822
Bella	0.0811512
Testud	0.0807127
Huber	0.0800352
Woodruff	0.0797335
Dosedel	0.0789318
Moya	0.0789252
Sorensen	0.0788577
Ferreira	0.0783628
"Alberto Berasategui"	0.0769094
Simone	0.0768484
Rosset	0.0765701
Siemerink	0.0764965
Sugiyama	0.076142
Menchu	0.0756385
"Arantxa Sanchez-Vicario"	0.0751613
Stoltenberg	0.07516
Pape	0.0746059
Gustafsson	0.0742108
"Felix Mantilla"	0.0739483
Ulihrach	0.0736546
Serna	0.0721247
Haarhuis	0.072084
Corretja	0.0720689
Nilsson	0.0720166
Farina	0.0702779
Mucha	0.07026
Fiorina	0.069796
Halard-Decugis	0.0692705
Prinosil	0.0687861
Schalken	0.0687857
McDuffie	0.0685624
Schett	0.0684395
Coetzer	0.068394
"Mariano Puerta"	0.0676412
Santoro	0.0673635
"Conchita Martinez"	0.0670674
Edberg	0.0670555
Medvedev	0.0670305
Abram	0.0668615
Bruguera	0.0666907
Majoli	0.0666632
Tuttle	0.0661527
Lapentti	0.0658508
Lockwood	0.0656891
Likhovtseva	0.0656888
Deneuve	0.0653094
Rowley	0.0653092
Puerta	0.064932
"Van Roost"	0.0648156
"Steve Campbell"	0.0648013
Kournikova	0.0642822
"Michael Chang"	0.0642022
"Rodney Eyles"	0.0641806
Damm	0.0639178
Mauresmo	0.0632544
Paes	0.0631999
"American Chanda Rubin"	0.0628037
"Leander Paes"	0.0626227
Krajicek	0.0624749
Shriver	0.0623338
"Nicolas Kiefer"	0.0620189
Manheim	0.0619405
COYNE	0.0619148
"Mahesh Bhupathi"	0.0618656
Kremer	0.0615721
Brazile	0.0614272
Stafford	0.0613088
"Iva Majoli"	0.0612273
Bartoli	0.0611719
Soares	0.0610898
Kurth	0.0609689
"Alex Corretja"	0.06037
"Mary Joe Fernandez"	0.060323
Kirkpatrick	0.0602813
"Francisco Clavet"	0.059844
Gaudenzi	0.0597378
Briscoe	0.0597163
"Anke Huber"	0.0596991
Bjorkman	0.0594705
Francisco	0.0594261
Ricart	0.0592739
"Carlos Costa"	0.0592464
Farley	0.0590755
Kelso	0.0590216
Wasserstein	0.0588525
"Wayne Ferreira"	0.0587968
Pavel	0.0586903
Novotna	0.0586387
Henning	0.0586183
Sanguinetti	0.0585343
Kurtz	0.0585045
Portnoy	0.0584523
"Alex O'Brien"	0.0583005
Pearce	0.0582833
Sidot	0.0578983
"Marc Rosset"	0.0578612
"Kenneth Carlsen"	0.0577412
"Gustavo Kuerten"	0.0577366
Grunwald	0.0577195
McGrath	0.0577039
Schnyder	0.0576596
Lareau	0.0575948
"Alberto Costa"	0.0575825
Costa	0.0575428
Woodbridge	0.0575263
"Jonas Bjorkman"	0.0575161
"Vincent Spadea"	0.0572486
Janssen	0.0570871
"Alexandra Fusai"	0.0570347
LeFave	0.0570166
"Scott Draper"	0.0568879
Waxman	0.0568839
Seligman	0.0566675
Kagalovsky	0.0566483
Orton	0.0566121
Falco	0.0563761
"Brett Steven"	0.0562097
"Rita Grande"	0.056208
Sheehy	0.0560989
Kafelnikov	0.0559678
"Mary Pierce"	0.0558743
Cline	0.0557967
swank	0.0557595
"American Michael Chang"	0.0556438
Scruggs	0.0555455
Lucic	0.0554889
Rivlin	0.0553585
Tristan	0.0553527
Jimenez	0.0549985
Chenoweth	0.0549209
Kiefer	0.0548167
"Grant Stafford"	0.0547794
Mckee	0.0546848
Upshaw	0.0546454
"Oronde Gadsden"	0.0545867
Hagen	0.054582
Garber	0.0545598
Po	0.0544695
Olazabal	0.0544027
"Davide Sanguinetti"	0.0542222
Marin	0.0542091
Northup	0.0541983
Lowry	0.0541664
"Lisa Raymond"	0.0540767
Roux	0.0540085
Mei	0.0539715
Kingsley	0.0539639
Barad	0.053937
"Scotty Bowman"	0.0538188
Jaffe	0.0537526
Batten	0.0537195
Stolle	0.0536957
Tharp	0.0535433
Barlow	0.053385
Midler	0.053363
"Jacco Eltingh"	0.0533201
Lindland	0.053311
"Fernando Meligeni"	0.053226
Kuerten	0.0531373
Kusama	0.052991
"Younes El Aynaoui"	0.0528851
"Patrick Rafter"	0.0528784
"Magnus Norman"	0.0528607
"Rintje Ritsma"	0.0527461
Capriati	0.0527182
Diego	0.0526583
Raymond	0.0526119
"Thomas Enqvist"	0.0525329
Marchand	0.0525061
Tarango	0.0524903
Wilander	0.0523971
Tilberis	0.0523946
"Tommy Haas"	0.0521968
McDonnell	0.0521864
Sheedy	0.0521046
Philippoussis	0.0520259
Cleary	0.0518349
Bolton	0.0517844
Henley	0.0516806
"Chanda Rubin"	0.0516032
"Magdalena Maleeva"	0.0515855
Larsson	0.0513979
Dragomir	0.0513966
Britton	0.0513461
Tauziat	0.0512447
Ackerman	0.0512275
"Yayuk Basuki"	0.0511861
Ilie	0.0510837
"Judith Wiesner"	0.051075
Hickman	0.0510732
Dench	0.0509292
))
(Alonzo (desc 822.399) (sims
Wiseman	0.0611967
"waiting game"	0.0608942
Caray	0.059365
Kansan	0.0574911
Ott	0.0558396
one-minute	0.0556082
Arlene	0.0554389
Alves	0.0551646
Rhonda	0.055019
"British people"	0.0537457
Figgis	0.053555
"Yasukuni Shrine"	0.0534149
weatherman	0.0533265
phi	0.053291
Geiger	0.0524678
"Callista Bisek"	0.0519564
weekender	0.0511314
Troussier	0.050656
"blast furnace"	0.0506447
Hoya	0.0498675
spud	0.0498395
Shulman	0.0497767
tor	0.0495747
Hawn	0.0494749
Jobe	0.0492954
"next @@ minutes"	0.0490979
Margolis	0.0488041
"Inge de Bruijn"	0.0486071
Solis	0.0479818
Holik	0.0477851
Andreychuk	0.0477597
Calvary	0.0476608
Judas	0.0476575
Villalonga	0.0471249
Bryce	0.0471112
Engler	0.0469294
wilting	0.046834
Inhofe	0.0467617
Tevanian	0.0465419
BUF	0.0464162
Longo	0.0459241
"hot air"	0.0459162
"blind man"	0.0457285
Cavallo	0.0452385
"four lines"	0.0451919
Edberg	0.0451763
whomever	0.0450494
Marchment	0.0449021
McMullen	0.044851
"piece of cloth"	0.0444171
Dellucci	0.0443054
Leedham	0.0442156
"one line"	0.0441481
Englishwoman	0.0438765
"Patrick Vieira"	0.0438395
afterburner	0.0437621
LaPointe	0.043673
Medvedev	0.0433597
Edm	0.0432738
"a few lines"	0.0431009
Quebecers	0.0429714
drafters	0.042932
Bisek	0.042849
"counsel law"	0.042424
peptide	0.0423387
"Straits Times Industrials Index"	0.0422615
CSA	0.0418966
PBSI	0.0418749
"Leon Hess"	0.0418381
Fido	0.0417648
Susann	0.041693
Stossel	0.041595
"US Supreme Court"	0.0413729
Shayler	0.0412891
SJ	0.0411879
"snake eyes"	0.041135
"Felipe Alou"	0.0411096
"census taker"	0.0409667
Det	0.0407352
Bochy	0.040706
Lazarenko	0.0405799
Agca	0.0405059
COACHES	0.0404993
"Hurricane Bonnie"	0.0404591
Whalen	0.0404517
Guthridge	0.0403477
Erin	0.0403084
Krzyzewski	0.0402457
stanchion	0.0402415
Ratner	0.0401287
Roxy	0.0400812
))
("Alonzo Mourning" (desc 10285.6) (sims
"Tim Hardaway"	0.287774
"Kevin Garnett"	0.243119
"Mitch Richmond"	0.243042
"Grant Hill"	0.235227
"Gary Payton"	0.232481
"Tim Duncan"	0.230964
"Vin Baker"	0.225411
"Jason Kidd"	0.222158
"Allan Houston"	0.220646
"Chris Webber"	0.217882
"Penny Hardaway"	0.215374
"Shawn Kemp"	0.207347
"Anfernee Hardaway"	0.207075
"David Robinson"	0.198827
"Allen Iverson"	0.190888
"Jamal Mashburn"	0.187367
"Patrick Ewing"	0.18312
"Hakeem Olajuwon"	0.177863
"Reggie Miller"	0.175339
"P.J Brown"	0.17371
"Shaquille O'Neal"	0.172731
"Stephon Marbury"	0.171033
"Ray Allen"	0.167528
"Karl Malone"	0.166539
"Kobe Bryant"	0.166463
"Steve Smith"	0.165357
"Juwan Howard"	0.164301
"Dan Majerle"	0.160943
"Dikembe Mutombo"	0.160662
"Tom Gugliotta"	0.160379
"Charles Barkley"	0.158255
"Shareef Abdur-Rahim"	0.15444
"Derrick Coleman"	0.153939
"Marcus Camby"	0.151998
"Latrell Sprewell"	0.144983
"Terrell Brandon"	0.142579
"Glen Rice"	0.13961
"Vince Carter"	0.137044
"Scottie Pippen"	0.1344
"Eddie Jones"	0.134301
"John Stockton"	0.130338
"Antoine Walker"	0.12984
"Jayson Williams"	0.125685
"Voshon Lenard"	0.125078
"Glenn Robinson"	0.124762
"Cliff Robinson"	0.124151
"Christian Laettner"	0.122077
"Tracy McGrady"	0.121038
"Jalen Rose"	0.117978
"Antonio McDyess"	0.117975
"Sam Cassell"	0.116362
"Joe Dumars"	0.112697
"Michael Finley"	0.111953
"Larry Johnson"	0.111693
"Chris Childs"	0.110658
"Vlade Divac"	0.110502
"Jerry Stackhouse"	0.110154
"Keith Van Horn"	0.109976
"Toni Kukoc"	0.108809
mourning	0.10642
"Chris Dudley"	0.104329
"Donyell Marshall"	0.104286
"Robert Horry"	0.102485
"Rik Smits"	0.101771
"Charlie Ward"	0.101433
"Pat Riley"	0.101098
"Elden Campbell"	0.100744
"Kerry Kittles"	0.100653
"Kurt Thomas"	0.100588
Ewing	0.100494
"Matt Geiger"	0.0985579
"Rod Strickland"	0.0978506
"Wang Zhizhi"	0.0974666
"Anthony Mason"	0.0967728
"Yao Ming"	0.0967665
"Darrell Armstrong"	0.0966485
"Dominique Wilkins"	0.0960588
"Avery Johnson"	0.0952488
"Nick Anderson"	0.0948073
"Rick Fox"	0.0946174
"Vitaly Potapenko"	0.0941469
"Nick Van Exel"	0.0924737
"Damon Stoudamire"	0.0918953
"Wally Szczerbiak"	0.0917585
"Brian Grant"	0.0916946
"Greg Ostertag"	0.0916298
Mashburn	0.0896051
"Jason Williams"	0.08936
"Mark Jackson"	0.0892668
"Rex Chapman"	0.0889794
"Mookie Blaylock"	0.0876454
"Dale Davis"	0.0874725
"David Wesley"	0.0872917
"Arvydas Sabonis"	0.0860578
"Michael Jordan"	0.0859603
"Chris Mullin"	0.0859331
"Lisa Leslie"	0.0838561
"Isaiah Rider"	0.0836878
O'Neal	0.0836327
Camby	0.083581
"Yolanda Griffith"	0.081735
"Rasheed Wallace"	0.0813724
"Theo Ratliff"	0.0807683
"Horace Grant"	0.0804075
"Paul Pierce"	0.0802324
"Ron Harper"	0.079814
"Antonio Davis"	0.0794741
"Jennifer Gillom"	0.0788567
"Brent Barry"	0.0788047
Bryant	0.0785505
"Antawn Jamison"	0.0781575
duncan	0.0773467
"Zydrunas Ilgauskas"	0.0769701
Sprewell	0.0768865
"Luc Longley"	0.0765248
"Eric Lindros"	0.0760767
Kidd	0.0760246
Garnett	0.075963
"Jeff Hornacek"	0.0756349
"Derek Fisher"	0.0750815
"Rodney Rogers"	0.0742942
"Ron Mercer"	0.0740397
"Larry Hughes"	0.0738953
"Chris Mihm"	0.0726876
"Olden Polynice"	0.0726411
"Kevin Willis"	0.0718647
Hardaway	0.0717258
Olajuwon	0.0716772
"Clyde Drexler"	0.0716769
"Clifford Robinson"	0.0714837
"Hersey Hawkins"	0.0706183
"Willis Reed"	0.0703851
"Elton Brand"	0.0702609
Barkley	0.0702544
"Shawn Bradley"	0.069741
"Alan Henderson"	0.0693379
"Kareem Abdul-Jabbar"	0.0692383
Malone	0.0690333
"Eric Snow"	0.0688786
"Michael Olowokandi"	0.0674939
"Maurice Taylor"	0.0672472
"Rony Seikaly"	0.0671219
"Dennis Rodman"	0.0668335
"Sean Rooks"	0.066625
"Joe Sakic"	0.0665694
Childs	0.0665252
"Sean Elliott"	0.0658686
Fizer	0.0653474
Iverson	0.0651969
"Kelvin Cato"	0.064177
Shaq	0.0635429
"Detlef Schrempf"	0.0634291
"Oliver Miller"	0.0632763
"Mike Bibby"	0.0629649
"Dan Gadzuric"	0.0628033
Pippen	0.0626564
"Brian Shaw"	0.0621566
"Kenyon Martin"	0.0620993
"Otis Thorpe"	0.0614668
"Shammond Williams"	0.0613594
"Jeremy Roenick"	0.0612101
"Joe Smith"	0.061202
"Tim Thomas"	0.061181
"Kevin Johnson"	0.061131
"Corliss Williamson"	0.0610927
"Doug Christie"	0.061058
"Tyrone Nesby"	0.0609882
Stackhouse	0.0607549
"Cliff Ronning"	0.0606072
"Erick Barkley"	0.0603694
Swoopes	0.0602836
MARBURY	0.0602435
Muoneke	0.0600665
"Richard Hamilton"	0.0600098
"Dan Marino"	0.0598807
Webber	0.0597008
"Kenny Thomas"	0.0596913
"Bobby Phills"	0.0596907
Nailon	0.0595403
"Robert Traylor"	0.0586957
"Jake Voskuhl"	0.0582873
"Chris Anstey"	0.0581813
"Sergei Fedorov"	0.0580531
"Brad Miller"	0.0579626
"Magic Johnson"	0.0578607
Artest	0.0577591
"Van Horn"	0.0576088
Abdur-Rahim	0.0570723
"Joe Nieuwendyk"	0.0570235
"Mike Modano"	0.0567348
"Austin Croshere"	0.0566894
"Jerome Moiso"	0.0566384
"Larry Bird"	0.0565169
"Lorenzen Wright"	0.0562182
"DeLisha Milton"	0.0559773
"Will Perdue"	0.0557808
"Brian Scalabrine"	0.0557432
"Travis Knight"	0.0557343
"Wayne Gretzky"	0.0556827
McDyess	0.0556047
))
("Alonzo Spellman" (desc 2286) (sims
"Chad Hennings"	0.348378
"Kavika Pittman"	0.263697
"Greg Ellis"	0.246834
"Ebenezer Ekuban"	0.239623
"Leon Lett"	0.233672
"Darren Woodson"	0.21491
"Randall Godfrey"	0.212546
"Pete Holland"	0.204358
"Flozell Adams"	0.204221
"Trace Armstrong"	0.191209
"Dimitrius Underwood"	0.191126
"Lester Archambeau"	0.190276
"Sam Adams"	0.18918
"Erik Williams"	0.188286
"Charles Haley"	0.188283
"Larry Allen"	0.185513
"Mark Tuinei"	0.179568
"Dexter Coakley"	0.169795
"John Randle"	0.165396
"Aaron Williams"	0.163605
"Travis Hall"	0.16259
"Cortez Kennedy"	0.159622
"Warren Sapp"	0.157579
"Bryant Young"	0.154963
"Brandon Mitchell"	0.14895
"Jason Taylor"	0.147747
"Eric Swann"	0.144185
"Chad Eaton"	0.141813
"Chuck Smith"	0.141548
"Dana Stubblefield"	0.137192
"Shane Dronett"	0.136538
"Kevin Smith"	0.134085
"Derrick Alexander"	0.132836
"Courtney Brown"	0.131551
"Michael Strahan"	0.131271
"Jumbo Elliott"	0.130714
"Ferric Collons"	0.126537
"Henry Thomas"	0.125882
"Solomon Page"	0.125691
"George Teague"	0.12488
Farr	0.124738
"Andre Wadsworth"	0.124487
"Orlando Brown"	0.124374
"Lomas Brown"	0.124046
"Bruce Armstrong"	0.122229
"Daryl Johnston"	0.120101
"Reggie White"	0.119992
"Simeon Rice"	0.119076
"Howie Long"	0.118172
"Michael Myers"	0.11675
"Ken Kocher"	0.115923
"Mike Jones"	0.113758
"Deion Sanders"	0.111823
"Tony Hutson"	0.109035
"Everett McIver"	0.105632
"Bob Whitfield"	0.104934
"Erik Kramer"	0.102157
"JEVON KEARSE"	0.102011
"Nate Newton"	0.101289
"Curtis Enis"	0.0994049
"Kevin Mathis"	0.0992561
"Neil Smith"	0.0953015
"Jason Fabini"	0.0949961
"John Tait"	0.0949417
"Bruce Smith"	0.0938565
"Ephraim Salaam"	0.0928941
"Ernie Mills"	0.0918787
"Phillippi Sparks"	0.0905228
"Mark Smith"	0.0884901
"Dave Campo"	0.0847129
"Bobby Hamilton"	0.0833146
"Mark Stepnoski"	0.0809286
"David LaFleur"	0.080396
"Heath Irwin"	0.0787501
"Willie McGinest"	0.0780966
"L.J Shelton"	0.0777756
"Dave McGinnis"	0.0771287
"Max Lane"	0.074843
"Michael Irvin"	0.0734767
"Raghib Ismail"	0.073454
"Kris Farris"	0.0732289
"Doug Pederson"	0.0726395
"John Vanbiesbrouck"	0.0724272
"John Fox"	0.071917
"Todd Husak"	0.0702007
"Eric Bjornson"	0.0701015
"Roger Staubach"	0.0672313
"James Jones"	0.0669593
"Dave Wannstedt"	0.0661129
"Jason Garrett"	0.0633132
"Bruce Matthews"	0.0630825
"Emmitt Smith"	0.0624242
"Ryan Kealy"	0.0622016
"Ronnie Bradford"	0.0620141
"Rich Brooks"	0.0619345
"Jeff Blake"	0.0613671
"Dave Brown"	0.0609991
"Steve Atwater"	0.0608129
"Eric Davis"	0.0606496
"Jim Harbaugh"	0.0599653
"Jason Sehorn"	0.0591819
"Herschel Walker"	0.0589982
"Charlie Williams"	0.058473
"Trent Green"	0.0581146
"Derrick Thomas"	0.0569289
"Scott Mitchell"	0.0567333
"Derek Harper"	0.056553
"Warren Moon"	0.0561296
"Tony Dorsett"	0.0553982
"Larry Whigham"	0.0553121
"Walter Payton"	0.0550577
"Tedy Bruschi"	0.0550144
"Robert Thomas"	0.0546674
"Alan Henderson"	0.0540831
Pittman	0.0537774
McCormack	0.0529321
"Rae Carruth"	0.052587
"Gene Williams"	0.0524877
"Dennis Johnson"	0.0524054
"Todd Rucci"	0.0522387
"Glenn Foley"	0.0518757
"Tab Ramos"	0.0518499
"Chris Warren"	0.0515552
"Eddie Murray"	0.0515459
"Troy Aikman"	0.0509118
McIver	0.0508875
"Jeff George"	0.0506053
"Danny Kanell"	0.0503129
"Grant Fuhr"	0.0495534
"Bobby Newcombe"	0.049268
"Stan Collymore"	0.0491635
"Garry Galley"	0.0488725
"Rick Mirer"	0.0488588
"Dan Dierdorf"	0.0488524
"Dick Jauron"	0.0481073
"Michelle Akers"	0.0480354
"Olden Polynice"	0.0478778
"Ernie Irvan"	0.0474677
"Rob Johnson"	0.0473202
"Billy Davis"	0.046867
Lett	0.0468518
"Eric Snow"	0.046258
"Yancey Thigpen"	0.0461917
"Kerry Collins"	0.0460187
"Angelo Peruzzi"	0.045629
"Chris Chandler"	0.0451748
Strickland	0.0449423
"Laurent Blanc"	0.0448803
"Luis Sojo"	0.0446003
"Wilson Alvarez"	0.0441254
"Damien Woody"	0.0439925
Tuinei	0.0436333
"Charlie Garner"	0.0433125
"Chuck Finley"	0.0433029
"Derrick Coleman"	0.0430772
mixup	0.0429257
"Trent Dilfer"	0.0428424
"Willie Clay"	0.0425922
"Dom Capers"	0.0424825
"Ben Johnson"	0.0423557
"Pepper Johnson"	0.0422974
"Grant Long"	0.0417004
"Sebastian Janikowski"	0.0415461
"Craig Ludwig"	0.0411061
Salaam	0.0411056
"Eric Dickerson"	0.0410639
"Charlie Batch"	0.0410616
"Paul Justin"	0.040858
"Henry Ford"	0.0407687
Spellman	0.0405182
halfback	0.040483
"Tom Candiotti"	0.0401803
"Elvis Grbac"	0.0401789
"Paul Gascoigne"	0.0401214
"Andreas Papandreou"	0.0400441
"child welfare agency"	0.0400083
))
(aloofness (desc 2028.02) (sims
rudeness	0.0896595
smugness	0.0834099
cockiness	0.0819385
arrogance	0.0813309
electability	0.0806107
brinksmanship	0.0758527
graciousness	0.0599076
insensitivity	0.0596641
coolness	0.0574732
ruthlessness	0.0558874
inattention	0.0553939
"management style"	0.052014
hyperactivity	0.0519015
carelessness	0.0514737
bigotry	0.0512867
inferiority	0.0509453
intransigence	0.0501946
radiance	0.0500304
calmness	0.0493542
egotism	0.0486303
selfishness	0.0479557
laxity	0.0473258
brashness	0.047119
unwillingness	0.0468776
self-control	0.0460334
finger-pointing	0.0453767
remoteness	0.0452982
feistiness	0.0441596
randomness	0.0434223
inaccessibility	0.0434179
tardiness	0.0433032
disorganization	0.0428418
willfulness	0.0426063
timelessness	0.0425322
incompetence	0.0423874
urbanity	0.0420533
lovemaking	0.0410749
disloyalty	0.040875
immensity	0.0405569
nonchalance	0.0403036
earplugs	0.0401837
))
(Alou (desc 7431.96) (sims
Biggio	0.239397
Caminiti	0.213083
Bagwell	0.19767
"Moises Alou"	0.187434
"Craig Biggio"	0.1865
Hidalgo	0.184145
"Richard Hidalgo"	0.174553
"Jeff Bagwell"	0.16741
Surhoff	0.154136
DiSarcina	0.149796
Erstad	0.147422
Palmeiro	0.146594
Cirillo	0.143889
"Carl Everett"	0.143437
Segui	0.142038
Spiers	0.141095
"Derek Bell"	0.140953
Hundley	0.139731
Vidro	0.138315
Lankford	0.137273
Lieberthal	0.13713
Daubach	0.132624
Vaughn	0.132434
Aurilia	0.132321
Canseco	0.132138
Gwynn	0.131983
Renteria	0.131925
Piazza	0.131766
Burks	0.130421
Castilla	0.128041
Catalanotto	0.128031
Thome	0.127448
Rolen	0.127157
Mondesi	0.127152
"Ricky Gutierrez"	0.127143
Alfonzo	0.126732
Fullmer	0.12616
Everett	0.125626
Bordick	0.125547
"Paul Bako"	0.125473
Ordonez	0.125302
"Bill Spiers"	0.125281
"Preston Wilson"	0.125278
"Gary Sheffield"	0.125086
Nevin	0.124942
Ripken	0.124924
Alomar	0.12466
Burnitz	0.124639
Karros	0.124578
Garciaparra	0.124163
"Mike Piazza"	0.124081
Batista	0.123287
"Ruben Rivera"	0.122511
DeShields	0.122277
Rodriguez	0.122178
Finley	0.121641
Lobo	0.121616
Cedeno	0.121588
Galarraga	0.121562
Helton	0.120912
Kapler	0.120891
"Ken Caminiti"	0.120185
grieve	0.120102
Sosa	0.119639
Dunston	0.118575
Grudzielanek	0.118499
Bonilla	0.118328
Baerga	0.118324
"Todd Pratt"	0.118201
Giambi	0.117991
Sexson	0.117631
Ramirez	0.117559
Huskey	0.117249
Higginson	0.117067
Hollins	0.116636
Alicea	0.115934
Guillen	0.115014
Klesko	0.114609
"Brian Jordan"	0.114336
Knoblauch	0.114096
Bichette	0.113119
"Rafael Palmeiro"	0.112817
Ledee	0.112779
"Mark Kotsay"	0.112678
Buhner	0.112526
Sheffield	0.111916
Olerud	0.111883
Griffey	0.111718
"Brad Ausmus"	0.111712
Brogna	0.111552
"Kevin Young"	0.110692
Leyritz	0.110626
Frye	0.110588
Lofton	0.110374
Elster	0.109566
Zeile	0.109563
Meares	0.109466
Fryman	0.109172
Gilkey	0.109115
McGriff	0.108989
"Cliff Floyd"	0.10856
"Eric Karros"	0.107986
Brosius	0.107952
Beltran	0.107746
"Benny Agbayani"	0.10751
"Devon White"	0.107422
"David Segui"	0.107397
Ceballos	0.107257
"Dante Bichette"	0.106864
"Wally Joyner"	0.105345
Veras	0.105313
Mora	0.105298
"Stan Javier"	0.105122
Delgado	0.104901
Valentin	0.104804
Glaus	0.104697
"Tony Womack"	0.104302
"Darin Erstad"	0.104113
Gonzalez	0.103977
Abreu	0.103957
"Vladimir Guerrero"	0.10368
Hollandsworth	0.103438
Beltre	0.103366
Bautista	0.103232
belle	0.103165
Velarde	0.102682
"John Vander Wal"	0.102441
"Todd Hundley"	0.10241
Olajuwon	0.102382
"Butch Huskey"	0.102159
Jeter	0.102065
Cora	0.102021
"Dean Palmer"	0.102017
Womack	0.101998
"David Bell"	0.101549
Martinez	0.101497
Cabrera	0.101347
Agbayani	0.101254
"Rondell White"	0.101077
"Luis Alicea"	0.100973
"Tim Salmon"	0.100938
"Bobby Abreu"	0.10069
"Trot Nixon"	0.100647
"Edgardo Alfonzo"	0.100628
"Jay Bell"	0.100125
"Scott Rolen"	0.100079
"Geoff Jenkins"	0.100013
"Robin Ventura"	0.0998083
McLemore	0.0997676
Wohlers	0.099691
Gugliotta	0.0994583
Glanville	0.099394
"J.T Snow"	0.0992943
McRae	0.0991834
Cordero	0.0991768
"Ken Griffey Jr."	0.0989555
"Manny Ramirez"	0.0988727
"Mike Hampton"	0.0985302
Fisk	0.0984401
Guerrero	0.098423
Gant	0.0983483
Offerman	0.0983101
"Damian Miller"	0.098219
"Brian Hunter"	0.0982166
Boone	0.0980838
"Roger Cedeno"	0.0977233
"Eddie Taubensee"	0.0977217
"Tony Gwynn"	0.0976259
"Chipper Jones"	0.0975863
"Lance Berkman"	0.0972623
"Jim Thome"	0.0971753
"Jeff Conine"	0.0971692
Tatis	0.097148
"Russ Johnson"	0.0970109
"Mark Grace"	0.0970038
"Mo Vaughn"	0.0967564
"Jose Offerman"	0.0966024
"Walt Weiss"	0.0964929
"Kenny Lofton"	0.0962165
Molina	0.0958501
Hampton	0.0957739
"Jay Buhner"	0.0957066
"Rusty Greer"	0.0954251
"Eric Owens"	0.0953747
"Mike Lieberthal"	0.0952326
"Larry Walker"	0.0952005
"Ron Gant"	0.0951498
"Tony Eusebio"	0.0951457
"Sean Berry"	0.0949951
"Scott Brosius"	0.0949108
"Matt Lawton"	0.0948735
Dreifort	0.0947977
McGwire	0.0945775
McCarty	0.0944631
Sehorn	0.0941468
"Greg Vaughn"	0.093828
Vizquel	0.0937312
Hardaway	0.0936528
"Ryan Klesko"	0.093634
"Juan Gonzalez"	0.0934488
))
(alpaca (desc 3215.98) (sims
llama	0.150707
mohair	0.118719
yak	0.112685
goat	0.110547
cashmere	0.106361
sheep	0.102406
antelope	0.0890146
suede	0.084878
Livestock	0.0844394
ostrich	0.0830913
wool	0.0830093
zebra	0.0826537
reindeer	0.08233
bison	0.0818208
fleece	0.0817118
camel	0.0803575
tweed	0.0754267
donkey	0.0750564
cattle	0.0741123
"beef cattle"	0.0726571
mink	0.0724215
silk	0.0723014
taupe	0.0681891
gazelle	0.0667106
oxen	0.0663494
elk	0.0649243
hog	0.0643081
EMU	0.0641315
"milk cow"	0.0633549
velvet	0.063032
pashmina	0.0619816
sheepskin	0.0619794
poultry	0.060513
deer	0.0595318
caribou	0.0582508
flax	0.0565191
"red deer"	0.056519
Bighorn	0.0547857
"dairy cow"	0.0547621
"wild horse"	0.0542574
heifer	0.0536172
foal	0.0530991
leopard	0.0527112
"quarter horse"	0.0519258
Buffaloes	0.0512898
linen	0.0509598
"rare bird"	0.0508937
racehorse	0.0507623
kangaroo	0.0503648
giraffe	0.0495066
sisal	0.0491021
PPI	0.0487562
snakeskin	0.0486977
"domestic animal"	0.0485953
"right whale"	0.0482715
"iron ore"	0.0475409
tremolite	0.0473569
dairy	0.0472104
knitting	0.0470431
eel	0.046339
taffeta	0.0459525
panda	0.0458736
polyester	0.0446723
"Iraqi POWs"	0.0438006
croaker	0.043776
plaid	0.0431688
Airstream	0.0429933
"African elephant"	0.042781
"fire ant"	0.0427789
Pony	0.0427271
"water buffalo"	0.0426983
swine	0.0422301
armadillo	0.0420757
prawn	0.0417167
nylon	0.0415328
"wage earner"	0.0414056
"cattle ranch"	0.041276
alligator	0.0402387
"frozen food"	0.0401977
Miata	0.0400968
))
(Alpha (desc 2569.47) (sims
Celeron	0.0913416
"Pentium III"	0.0821173
"Pentium II"	0.0746285
Pentium	0.0719061
"UNIX operating system"	0.0700117
K@	0.0685174
"Microsoft Windows"	0.0667161
motherboards	0.0645162
interferon	0.0641341
antihistamine	0.0640577
angiostatin	0.0600775
transistor	0.0593745
microprocessor	0.0589222
ADSL	0.0576454
"memory chip"	0.0574904
"human growth hormone"	0.0562374
olestra	0.0560642
"integrated circuit"	0.0543443
"space vehicle"	0.0536148
"artificial heart"	0.0535559
"Isaac Mizrahi"	0.0531396
"programming language"	0.0530241
Erythropoietin	0.0528518
"Red Violin"	0.0524868
microchip	0.0524612
unreality	0.0519495
"Mac OS"	0.0515054
"Peony Pavilion"	0.0508961
dram	0.0503714
semiconductor	0.0503333
Cyrix	0.0502707
polymer	0.050202
inhibitor	0.0501214
Botox	0.0500479
minicomputer	0.0495993
Holl	0.0493816
Endostatin	0.0491351
"word processor"	0.048943
"atom bomb"	0.0489324
A@XX	0.0486665
workstation	0.0485479
"software product"	0.0484706
"hand-held computer"	0.0480803
"Windows NT"	0.0479872
emulator	0.0479247
"debt market"	0.0476647
"electric current"	0.0476311
NMD	0.0475972
Cargill	0.0475439
"growth hormone"	0.047379
decoder	0.0471702
CFCs	0.0471165
"teaching method"	0.0468028
"Microsoft Word"	0.0467731
Powerbook	0.0466302
V-chip	0.0465486
"bubonic plague"	0.0463902
"surveillance system"	0.0463558
"software package"	0.0462622
"media property"	0.0461506
tranquilizer	0.0461461
microcomputer	0.0460912
"Windows CE"	0.0458416
Athlon	0.0457466
"hydrogen bomb"	0.0455135
"Love Bug"	0.0453633
Solaris	0.0449713
patter	0.0448508
"Golden Bear"	0.044792
simulator	0.0446171
COUSINS	0.0446094
"electric car"	0.0445415
MENT	0.0444831
GTE	0.0443703
"global positioning system"	0.0443329
Unix	0.0443264
"electric motor"	0.0443153
"Pacific Century Cyberworks"	0.044002
"automatic teller machine"	0.0439941
AMD	0.0438251
GPS	0.0437704
ultrasound	0.043677
"Palm VII"	0.0435556
wickedness	0.0434784
"laser printer"	0.0433423
hatchback	0.0430529
Transmeta	0.0429875
ENBREL	0.042917
"Dale Jr."	0.0428619
alternator	0.0428508
"incentive program"	0.0427928
Nutcracker	0.0427614
STARMEDIA	0.0424883
capsaicin	0.0424411
supercomputer	0.0423943
"joint-stock company"	0.0423507
DOS	0.0423486
telephony	0.042263
contraceptive	0.0422542
"essential oil"	0.0421846
TMD	0.0420383
eavesdropper	0.0420148
"Liberty Media"	0.0420017
BMG	0.0419552
carnivore	0.0417319
Mackenzie	0.0416228
Humvee	0.0416132
"exercise equipment"	0.0415383
antigen	0.0415215
"wind power"	0.0414691
"GTE Corp."	0.0414502
Merced	0.0413447
impurity	0.0412527
"Palm Pilot"	0.0411577
ensign	0.0411129
"Multimedia Super Corridor"	0.0410908
"Third Way"	0.0408721
"plastic explosive"	0.0407546
"army engineer"	0.0407417
"Ziggy Palffy"	0.0406208
megahertz	0.0406099
"Atlantic salmon"	0.0405752
"computer language"	0.040551
"social event"	0.0405337
RU-@@@	0.0405285
brownfields	0.0403954
"National Abortion and Reproductive Rights Action League"	0.040305
PlayStation	0.0402576
houseplant	0.0401686
"silicon chip"	0.0401326
REITs	0.0401158
"Ford Taurus"	0.0400902
Taxol	0.040006
))
(alphabet (desc 5824.83) (sims
"Lord's Prayer"	0.0739618
grammar	0.073735
syntax	0.0684367
couplet	0.0678199
algebra	0.0672272
vocabulary	0.0667482
dialect	0.0650441
Braille	0.0634739
jurisprudence	0.0603224
"computer language"	0.0592422
spelling	0.0587094
proverb	0.0585744
"sign language"	0.0578004
Kiswahili	0.0573616
pronunciation	0.0571733
miso	0.0570114
Arabic	0.0561398
"written language"	0.0560942
"street address"	0.0560435
fingerprinting	0.0560082
"teaching method"	0.0532462
slang	0.0532197
Hebrew	0.0529532
"printing press"	0.0509867
civics	0.0505012
cubism	0.049412
"morse code"	0.0494004
"word meaning"	0.0493541
idiom	0.049196
Putonghua	0.048792
decoding	0.0483505
iteration	0.0477938
typeface	0.0472735
Lexicon	0.0472368
vernacular	0.0467983
arithmetic	0.0465781
"point system"	0.0465173
dictionary	0.0463077
translation	0.046072
"computer application"	0.0460512
geography	0.0459781
verb	0.0456765
mathematics	0.0455283
calculus	0.0453615
"golden rule"	0.0453511
literacy	0.0450019
Swahili	0.0447766
ancestry	0.044773
"martial art"	0.0446653
mythology	0.0441998
IC	0.043997
"piece of music"	0.0438661
incantation	0.0436607
surname	0.0436551
catechism	0.0432884
Yiddish	0.0432748
"body language"	0.0431989
"Second Amendment"	0.043134
"folk song"	0.0425001
subtitle	0.0424704
"line drawing"	0.0422388
math	0.0422366
databank	0.0421605
"jigsaw puzzle"	0.041876
handwriting	0.041804
psalm	0.041721
keyword	0.0415553
"subject matter"	0.0414454
"pop music"	0.0414243
linguistics	0.0409828
pitchfork	0.0409568
"German language"	0.0407306
biology	0.040511
"oil paint"	0.0402009
))
(Alpharetta (desc 2772.81) (sims
Norcross	0.268654
Dunwoody	0.216334
Duluth	0.200271
Englewood	0.167932
"Newport Beach"	0.16156
Lawrenceville	0.160545
"Sandy Springs"	0.15877
"Stone Mountain"	0.157011
"Overland Park"	0.15623
"Woodland Hills"	0.155565
Chatsworth	0.155551
"Palm Beach Gardens"	0.151509
Suwanee	0.150114
"East Orange"	0.147928
"Westlake Village"	0.14733
Stockbridge	0.145274
Smyrna	0.14426
"Van Nuys"	0.142442
Needham	0.141579
Emeryville	0.140982
"San Mateo"	0.140205
Somerville	0.13728
Carrollton	0.135013
Riverdale	0.133872
Reseda	0.133649
"Sherman Oaks"	0.133613
Bridgehampton	0.132718
Burlingame	0.127178
"Thousand Oaks"	0.126865
"Paradise Valley"	0.12649
Braintree	0.126121
Roswell	0.125008
"Delray Beach"	0.124944
Burbank	0.124362
"College Park"	0.123544
Scottsdale	0.123474
"Lake Worth"	0.122027
"Hollywood Hills"	0.121644
"Round Rock"	0.121504
"Fort Lee"	0.12146
Decatur	0.12057
"South San Francisco"	0.120557
LAKEWOOD	0.120491
Plano	0.120249
Marietta	0.120201
"Cobb County"	0.1198
Waltham	0.119546
Rockville	0.118874
Encino	0.117532
"Mill Valley"	0.117009
Calabasas	0.115978
"Culver City"	0.115798
Buckhead	0.115061
"Gwinnett County"	0.113707
"Boca Raton"	0.113239
"Boynton Beach"	0.112707
Conyers	0.111605
Tarrytown	0.111399
Farmington	0.111342
"El Segundo"	0.110686
Montclair	0.110506
Brentwood	0.109797
Tempe	0.108871
Sausalito	0.108798
Greenwich	0.108666
Dearborn	0.108365
"Walnut Creek"	0.108266
"South End"	0.108263
Sunnyvale	0.107952
"Fayette County"	0.107836
Macon	0.107211
Glendale	0.106443
"West Hollywood"	0.106056
Acton	0.105658
Westfield	0.105635
Woburn	0.104947
"Menlo Park"	0.104813
"White Plains"	0.104736
Medford	0.104392
"Greek Revival"	0.103964
Leawood	0.102353
Lenexa	0.102316
"South Bronx"	0.102255
Kirkland	0.102177
Brookline	0.101899
Bensonhurst	0.101897
Gainesville	0.101608
Cupertino	0.101144
Chappaqua	0.100658
"Cherry Hill"	0.100391
Amherst	0.100028
Groton	0.0995362
Hialeah	0.0990698
Fairfax	0.0990208
"West Palm Beach"	0.0989377
"Mountain View"	0.0988469
Reston	0.0987784
Tarzana	0.0982883
Framingham	0.0982661
Dalton	0.0978441
Evanston	0.0974335
"Palo Alto"	0.0969638
Westport	0.0968639
"Santa Monica"	0.0964032
Watertown	0.0960959
"Simi Valley"	0.0958807
"San Rafael"	0.0954948
Wellesley	0.0954576
MINEOLA	0.0951669
Charlestown	0.0951469
Monticello	0.0940415
"La Jolla"	0.0939798
Quincy	0.0938468
Fayetteville	0.0937077
"Studio City"	0.093576
"East Los Angeles"	0.0932054
Covington	0.0931017
"Brooklyn Heights"	0.0929746
"West Orange"	0.0928434
Fremont	0.09257
Bellevue	0.09231
Alameda	0.0921495
"Port St. Lucie"	0.0918806
Chamblee	0.0915893
"Pacific Palisades"	0.0915619
Morristown	0.0915047
"Garden City"	0.0914848
Stamford	0.0913152
Americus	0.0910888
"Midtown Manhattan"	0.0910291
"Bel Air"	0.0910136
Bloomington	0.0904308
Pelham	0.0904
LaGrange	0.0897316
Yonkers	0.0896275
Falmouth	0.0894676
Morrow	0.0883086
Poughkeepsie	0.0881921
McLean	0.0881917
Cambridge	0.0881248
"Palm Beach"	0.0878849
Wallingford	0.0877668
"East Hampton"	0.0874983
Marlborough	0.0872783
"Redwood City"	0.0871576
"Crown Heights"	0.08671
"San Marcos"	0.0866088
Brunswick	0.0863453
Carmel	0.0862093
Danbury	0.0859218
"Silver Spring"	0.0852925
"Century City"	0.0849739
"Marin County"	0.0846571
Dorchester	0.0844565
Missoula	0.0842105
Lancaster	0.0842043
Bangor	0.0841193
Arlington	0.0839517
Woodside	0.0839346
Derry	0.0835332
"San Fernando Valley"	0.0834048
"North End"	0.0830221
Wilmington	0.0828716
"Manhattan Beach"	0.0828606
"Fort Worth"	0.0827553
Peoria	0.0827295
Greensboro	0.0826258
"New Rochelle"	0.0824631
"Coral Gables"	0.0821993
"Westchester County"	0.0821033
"DeKalb County"	0.0818371
"Fairfax County"	0.0815945
Oxnard	0.0815688
Torrance	0.0814415
"Beverly Hills"	0.0810034
Wichita	0.0805801
"Santa Clarita"	0.0803133
Malden	0.0802136
Palmdale	0.0798528
Nashua	0.0795424
Malibu	0.0795409
"North Hollywood"	0.0795222
Kettering	0.0793406
Norwalk	0.0792385
"West Los Angeles"	0.0791311
Savannah	0.0788283
Danville	0.0787399
"Greenwich Village"	0.0785107
Longview	0.0780823
"Fulton County"	0.0780201
Renton	0.0778974
Xenia	0.0778882
"Mission Viejo"	0.077702
Irving	0.077687
"Jersey City"	0.0776704
Weston	0.077414
Chatham	0.0772644
Surrey	0.0771482
Bedford	0.0770345
"Santa Rosa"	0.0767883
))
(Alpine (desc 2132.4) (sims
"Eagle Pass"	0.140245
"San Angelo"	0.0964419
"Paradise Valley"	0.0925697
"New Braunfels"	0.092546
Englewood	0.081924
"Highland Park"	0.0816044
Pelham	0.080148
Provo	0.0799924
McAllen	0.078503
Killeen	0.0783661
Laredo	0.0769729
Farmington	0.0768257
Amarillo	0.076368
"Sun City"	0.0737666
Montclair	0.0734836
"ski jumping"	0.0728773
"Fort Lee"	0.0719019
Katy	0.071616
Riverdale	0.0711801
"Port Arthur"	0.0709347
Nacogdoches	0.0707993
Ballymoney	0.0702818
Nogales	0.0694536
"Mission Viejo"	0.068626
Brentwood	0.0686251
"SIERRA BLANCA"	0.0668846
Bridgewater	0.0652345
Huntsville	0.0649136
Eureka	0.0645891
"New Canaan"	0.0642329
Yuma	0.0642091
Laramie	0.0640671
"Hollywood Hills"	0.0640275
Hillsboro	0.0640215
Sedona	0.0631059
Irvington	0.0630718
"Del Rio"	0.0629765
Medford	0.0621368
"Phenix City"	0.0617454
"Park City"	0.0613319
"Round Rock"	0.0605364
Trincomalee	0.0599717
Carmel	0.0599105
"Big Sur"	0.0598054
biathlon	0.0590171
Linden	0.0577773
Ridgewood	0.057754
Carlsbad	0.0576963
"Wichita Falls"	0.0574284
Morristown	0.0571627
LAKEWOOD	0.0571321
Prijedor	0.0570611
Ojai	0.0570105
Carrollton	0.0569309
Stafford	0.0569081
Abilene	0.056263
"Port Elizabeth"	0.0557872
"Grand Prairie"	0.0554826
Pennington	0.0545543
Harlingen	0.054304
Chatham	0.0541957
"Sussex County"	0.0540468
Gadsden	0.0539167
"Box @@@@"	0.0537864
Marjayoun	0.053531
"Corpus Christi"	0.0535195
Clifton	0.0534589
Flagstaff	0.0532522
Longview	0.0531768
"East Orange"	0.0531284
Fredericksburg	0.0529394
Redding	0.0528562
Chappaqua	0.0526527
"Bergen County"	0.0526263
Pleasanton	0.0524614
"St. George"	0.0521742
Plano	0.0520953
Nakuru	0.0515861
"Studio City"	0.0511311
Kismayu	0.0509974
Weimar	0.0508636
Urus-Martan	0.0507184
"Yellowstone National Park"	0.0506906
Peoria	0.0503188
Sparta	0.0502926
Atherton	0.0502134
"Manhattan Beach"	0.0501418
Prescott	0.0500323
Texarkana	0.049952
Lufkin	0.0498088
Ensenada	0.0495704
Rockport	0.0493971
"San Marcos"	0.0490754
Gnjilane	0.0490481
Bridgehampton	0.0488019
Beaumont	0.0487553
Casper	0.0486084
"ski jump"	0.0485994
Wildwood	0.048351
Missoula	0.0483468
Lawrenceville	0.0482837
Paranthan	0.0481014
Williamstown	0.0479294
Dundalk	0.0478858
"West Orange"	0.0478344
Urosevac	0.0476763
grapevine	0.047675
"Pacific Palisades"	0.0472601
Freeport	0.0472119
Rutherford	0.0470563
Kismaio	0.0467766
"Fayette County"	0.0467129
"Santa Rosa"	0.0464418
Malibu	0.0464142
"Ocean City"	0.0463956
Hialeah	0.046345
"Bel Air"	0.0461487
Beaufort	0.0461427
"East Hampton"	0.0461095
"horseback riding"	0.0460364
Mbarara	0.0459469
"La Jolla"	0.0459008
Clearwater	0.0457774
Vedeno	0.0457747
Jenin	0.0456232
Galveston	0.0453982
Cheyenne	0.0453654
Batticaloa	0.0451314
Mesquite	0.0451131
Bloomfield	0.0450087
Kalemie	0.0447826
Tyler	0.0442445
"Warren County"	0.0442096
Saginaw	0.0442004
Zhangbei	0.0441449
Scarsdale	0.0437698
Addison	0.0437276
ASHEVILLE	0.0436535
Paphos	0.0434464
Brownsville	0.0434091
"Huntington Beach"	0.0433582
"West Hollywood"	0.0431947
"Cherry Hill"	0.0431755
Yekaterinburg	0.0431683
Bundibugyo	0.0430355
Uvira	0.042946
Mosul	0.0427833
Easton	0.0427423
Odessa	0.0426748
Montpelier	0.0426693
Derry	0.0426357
"Saratoga Springs"	0.0426278
Winslow	0.0426041
Encino	0.0425075
Monterey	0.0424102
Kitgum	0.0421828
Camden	0.0421574
"Demilitarized Zone"	0.0421563
Wilton	0.0417476
Fayetteville	0.0417395
Denton	0.0416734
Gulu	0.0413249
Dubrovnik	0.0411936
Lubbock	0.0411498
"Santa Monica"	0.0410651
Vavuniya	0.0410275
Acapulco	0.0407868
Djakovica	0.0407755
Hillsborough	0.0407669
"Walnut Creek"	0.0407515
Klina	0.040735
Limassol	0.0406855
"Miami Beach"	0.040653
Tuscaloosa	0.040528
Moyo	0.0404293
Woodbridge	0.0403524
Chico	0.0402756
TRENTON	0.0401751
"Gwinnett County"	0.0401128
))
(Alps (desc 9714.63) (sims
"Italian Alps"	0.165699
"French Alps"	0.134481
"Sierra Nevada"	0.12218
"Swiss Alps"	0.103847
Andes	0.102714
Pyrenees	0.0977926
"mountain range"	0.0947479
Himalayas	0.0904467
"Rocky Mountains"	0.0854475
Qomolangma	0.071009
"Mount Rainier"	0.0678165
Adirondacks	0.0637584
sierra	0.0629216
"Great Plains"	0.0624291
Luzon	0.0617825
"Hollywood Hills"	0.0602356
Bekaa	0.059686
Appalachians	0.0584774
foothill	0.0580481
Drenica	0.0579525
"Big Sur"	0.0560502
"Demilitarized Zone"	0.0554536
Umbria	0.0549857
Greenland	0.0548357
valley	0.0540606
"Red Sea"	0.0535301
cascade	0.0533976
Midwest	0.0532777
Sicily	0.0528287
"Arctic Circle"	0.0515369
Siberia	0.0506594
"Pacific Northwest"	0.0506524
"Hunan Province"	0.0499396
"Dead Sea"	0.0499076
"North Island"	0.0498283
"Great Lakes"	0.0497063
Kyushu	0.0495448
"South China Sea"	0.0493738
"Nile Delta"	0.0493593
"White Mountains"	0.0490311
"English Channel"	0.0489787
highland	0.0489011
Sahara	0.0484944
"British Columbia"	0.0484809
Sinai	0.04806
"New Mexico"	0.0478931
Patagonia	0.0478862
Catskills	0.0477608
Rockies	0.0474907
"Sinai Peninsula"	0.0468975
countryside	0.0467045
Alaska	0.0465131
"Gulf of Mexico"	0.0465107
"Bohai Sea"	0.0464821
Berkshires	0.0463163
Tuscany	0.0461865
"Mediterranean Sea"	0.0456568
jungle	0.0456018
"Indian Ocean"	0.0455944
canyon	0.0452063
Chengde	0.0438235
Ozarks	0.0436168
"Florida Straits"	0.0435706
"Red River"	0.0435329
"Ohio Valley"	0.0435249
"Black Sea"	0.043278
"Mount Hermon"	0.0432315
Gudermes	0.0427451
Idaho	0.0426883
"mountain peak"	0.0426582
coastline	0.0425186
Everglades	0.0423722
prefecture	0.0422891
Caribbean	0.0422823
"West Virginia"	0.0422207
Antarctica	0.0421164
"Sun Valley"	0.042101
"Ventura County"	0.0420638
"Persian Gulf"	0.0420425
"Baltic Sea"	0.0419348
Piedmont	0.041895
"San Francisco Bay"	0.0418693
Chiapas	0.0417736
panhandle	0.0413542
"Central Park"	0.0413255
"Gaza Strip"	0.0412717
"Central Asia"	0.0411352
frontlines	0.0410741
"Gulf Coast"	0.0410571
"Ohio River"	0.0409973
Mediterranean	0.0409908
"Golden Gate Bridge"	0.040947
Xinjiang	0.0407254
"Pacific Ocean"	0.0406277
"Grand Canyon National Park"	0.0405896
Adriatic	0.0405681
Hokkaido	0.0405528
plateau	0.0401918
Dakota	0.0400267
))
(already (desc 1100.74) (sims
furthermore	0.0935635
Easton	0.0701899
Gadsden	0.0638628
"NFL Players Association"	0.0583389
Maastricht	0.0578709
Lindland	0.0574686
"Georgia Power"	0.0566815
"Jacco Eltingh"	0.0560211
BLANTYRE	0.0547533
"Phenix City"	0.0538862
Dele	0.0535063
"Xia Xuanze"	0.0530924
RIAA	0.0523376
"Chen Gang"	0.0521287
Oxfam	0.0521047
Eappens	0.0516569
"Gong Ruina"	0.0504271
"New York Civil Liberties Union"	0.0489886
"Paula Corbin Jones"	0.0486723
"Wang Hui"	0.0472121
REALTY	0.0466532
"Transport Ministry"	0.0444031
CFA	0.0439621
Westfield	0.043932
ENTREMED	0.0438138
"Ji Xinpeng"	0.043737
siecle	0.0434244
Advani	0.0432273
Peretz	0.0430536
"Southeastern Legal Foundation"	0.0424903
"Harvard Pilgrim Health Care"	0.0424289
"Li Fang"	0.041883
Orton	0.0418624
"Legal Aid Society"	0.0418619
Furniture.com	0.0417648
Idris	0.0417487
"Wang Yan"	0.0415835
"Olympiakos Piraeus"	0.0413835
"Zhang Ning"	0.0413225
Searle	0.0408609
Roberds	0.0408392
"welfare worker"	0.0408182
"Bank of Canada"	0.0408064
Sanan	0.0403862
Mattysse	0.0400669
))
(als (desc 3441.89) (sims
Parkinson's	0.243913
"multiple sclerosis"	0.229099
epilepsy	0.214574
"Parkinson's disease"	0.209246
"cystic fibrosis"	0.2036
Alzheimer	0.201583
leukemia	0.187818
"rheumatoid arthritis"	0.186645
dementia	0.178196
Osteoporosis	0.176414
ADHD	0.175732
schizophrenia	0.170869
lupus	0.168087
asthma	0.164149
hemophilia	0.161826
diabetes	0.158864
autism	0.155801
"cerebral palsy"	0.152619
arthritis	0.152335
"brain tumor"	0.152208
cataract	0.149082
hepatitis	0.14892
lymphoma	0.148708
"colon cancer"	0.145103
glaucoma	0.144054
"lung cancer"	0.143497
"heart failure"	0.140814
"liver disease"	0.136839
"muscular dystrophy"	0.136591
narcolepsy	0.135073
"manic depression"	0.134669
"heart disease"	0.134434
CJD	0.133339
"congestive heart failure"	0.13298
"cardiovascular disease"	0.131368
angina	0.126737
tuberculosis	0.126312
hypertension	0.123829
sclerosis	0.12243
"mental illness"	0.122402
"Lyme disease"	0.121263
apnea	0.12068
ulcer	0.120368
osteoarthritis	0.119316
allergy	0.118107
myeloma	0.115374
"food poisoning"	0.115107
"hay fever"	0.114698
syndrome	0.11321
anemia	0.112501
"eye disease"	0.111729
migraine	0.110503
"kidney disease"	0.110101
"mental disorder"	0.108763
"hepatitis B"	0.108092
Tb	0.106617
leprosy	0.105878
"heart condition"	0.105779
infertility	0.105188
HIV	0.104118
"high blood pressure"	0.102401
pneumonia	0.102086
Meningitis	0.101449
melanoma	0.100213
"skin cancer"	0.099259
HIV/AIDS	0.0987302
heartburn	0.0978706
malaria	0.0978504
emphysema	0.0976879
influenza	0.0975644
Lyme	0.0970001
psoriasis	0.0963847
encephalitis	0.0956736
Dengue	0.0956444
encephalopathy	0.0937359
diarrhea	0.0931576
"common cold"	0.0929097
dyslexia	0.0921903
bronchitis	0.0909649
aids	0.0902813
"lead poisoning"	0.0900808
typhoid	0.0897714
disorder	0.0896123
ailment	0.087859
Alcoholism	0.086295
flu	0.0855819
"heart attack"	0.0854558
"West Nile"	0.0848468
cholera	0.0841595
"personality disorder"	0.0839597
"neurological disorder"	0.0837273
gastroenteritis	0.0833
tumor	0.0827224
"back pain"	0.0822933
"acquired immune deficiency syndrome"	0.081655
Dysentery	0.0803881
retardation	0.0799006
malnutrition	0.0796618
Rabies	0.0792676
"dengue fever"	0.0783704
inflammation	0.0780735
trachoma	0.077871
Obesity	0.0770938
polio	0.0770297
"AIDS virus"	0.0760079
"genetic disease"	0.0751551
acne	0.0745535
Addiction	0.073563
SIDS	0.0733749
bifida	0.0732968
"infectious disease"	0.0724145
fibrillation	0.0722006
"anxiety disorder"	0.0717712
"venereal disease"	0.0714937
dysfunction	0.0712111
diarrhoea	0.0711297
insomnia	0.0708191
"respiratory disease"	0.0685303
Chemo	0.0685007
sickness	0.0677895
"HIV/ AIDS"	0.0676997
paralysis	0.067334
inhalation	0.0671544
starvation	0.0669529
blindness	0.0666089
impotence	0.0664874
"malignant tumor"	0.066197
fever	0.0661881
Lice	0.0661016
measles	0.0660611
arrhythmia	0.0658147
cirrhosis	0.065734
"tooth decay"	0.065583
overdose	0.0654192
disability	0.065278
trauma	0.0652525
syphilis	0.0646729
ebola	0.0646194
"moral hazard"	0.0642672
reflux	0.0641113
abnormality	0.0637229
BSE	0.0632588
prostate	0.0631198
Psychosis	0.0630576
"blood clot"	0.0629479
STD	0.062839
degeneration	0.0627985
"health problem"	0.0626712
"drug addiction"	0.0624828
LASIK	0.0622581
cholesterol	0.0620573
deafness	0.0611516
"heat exhaustion"	0.0610754
MGH	0.0610268
"neurological disease"	0.0609009
"sexually transmitted disease"	0.0608234
impairment	0.0606579
SETI	0.0601795
"memory loss"	0.0600175
frostbite	0.0597476
dehydration	0.0593665
"bipolar disorder"	0.0591819
pox	0.0590736
gonorrhea	0.0589207
poisoning	0.0586256
"acid rain"	0.0584514
angiogenesis	0.0580904
famine	0.0578899
hypothermia	0.0578477
"breast implant"	0.0577136
mastectomy	0.0574151
herpes	0.0564147
malignancy	0.0560434
affliction	0.0558579
Hantavirus	0.0554586
radium	0.0554434
bladder	0.0553148
botulism	0.0547104
jaundice	0.0542102
smallpox	0.0539708
"typhoid fever"	0.0538421
"turning away"	0.0537859
deformity	0.0537566
STDs	0.0535747
kidney	0.0533371
nearsightedness	0.0532972
deficiency	0.0529607
IDD	0.0527037
gallstone	0.0515332
suffocation	0.0512401
"skin disease"	0.051112
malady	0.050975
recurrence	0.0507955
interferon	0.050293
"foot-and-mouth disease"	0.0499353
carcinoma	0.0498139
fertility	0.0496148
coli	0.0496131
"Type @"	0.0494792
"hepatitis A"	0.0493827
))
(Alsace (desc 1499.8) (sims
Sakhalin	0.116288
Umbria	0.114452
Mtwara	0.11252
"Napa Valley"	0.110119
Kaliningrad	0.106885
Puglia	0.105518
Piedmont	0.100094
Tigray	0.0988514
Drenica	0.0917015
Rhone	0.0884487
Decani	0.086568
"Yangtze River Delta"	0.0840288
Chianti	0.0840142
Kurdistan	0.0833069
Kilimanjaro	0.0818462
Khabarovsk	0.0815326
"Sonoma County"	0.0814646
"North Ossetia"	0.0812411
Tanga	0.0807981
Katanga	0.078587
Catalonia	0.0771741
Kagera	0.0769092
Krasnoyarsk	0.0757966
Morogoro	0.0746734
Beaujolais	0.0721096
Kendall-Jackson	0.0720625
Napa	0.071063
Brittany	0.0702857
Kigoma	0.0696977
Uvira	0.0694802
Shaoxing	0.0683972
Gujarat	0.067504
Dodoma	0.0660655
Daghestan	0.0652435
Moshi	0.0649688
Murmansk	0.0638145
"Southern Africa"	0.0635212
"Free World"	0.0629345
aperitif	0.0625603
"Inner Mongolia"	0.0619654
"Pearl River Delta"	0.0617779
Antioquia	0.0616768
Vedeno	0.0610374
"Eastern Slavonia"	0.0608576
Caprivi	0.0607726
Mbeya	0.0607487
Novosibirsk	0.0605682
Samara	0.0604935
Mara	0.0604349
"Northeast China"	0.0603275
Phyllis	0.0600286
Kyushu	0.0593806
"French Alps"	0.0588948
Ningxia	0.0585199
Ingushetia	0.0582809
Bekaa	0.0581932
Prijedor	0.0581544
"West Los Angeles"	0.0577483
Siberia	0.0577371
Vojvodina	0.0575156
Mid-Atlantic	0.0574972
"Golden Triangle"	0.056689
Urosevac	0.0566368
"The Netherlands"	0.0566036
"Western Pacific"	0.0560627
"Mississippi Delta"	0.0559267
Abkhazia	0.0557948
"Chenin blanc"	0.0557417
"North China"	0.0544992
"Northwest Territories"	0.0544631
Provence	0.0541741
Yekaterinburg	0.0541218
"Central Asian"	0.0539368
Tuscany	0.0539346
Mwanza	0.0539219
Caucasus	0.0533332
Aegean	0.0533032
Catskill	0.0531635
Mbabane	0.0528627
"East Java"	0.0527994
Posoltega	0.0527927
"Central Africa"	0.0526737
Tabora	0.0526195
"Hudson Valley"	0.0524419
Patagonia	0.051421
Saxony	0.051148
Chisinau	0.0506564
Normandy	0.0506036
"Suva Reka"	0.0502548
CONCACAF	0.0502091
Nagorno-Karabakh	0.0502035
Burgundy	0.0501647
"computer store"	0.0499995
"Shanxi Province"	0.0499077
Djakovica	0.0497208
"Lower Saxony"	0.0495931
"West Asia"	0.0495618
"South Asian"	0.0488775
"Rocky Mountain"	0.0487796
Putumayo	0.0485561
Leningrad	0.048301
Khulna	0.0478771
"West Africa"	0.0478502
"West Nile"	0.0477384
Flanders	0.0472362
"West Timor"	0.0469342
"Pacific Rim"	0.0468097
Bern	0.0467776
Sylhet	0.0463886
U.K.	0.0463183
"American West"	0.046236
Czechoslovakia	0.0460106
"Shaanxi Province"	0.0459796
"Beibu Gulf"	0.0459202
"Sioux Falls"	0.045919
"Baltic Sea"	0.0458296
"western hemisphere"	0.0457258
"South China"	0.0455836
"South East Asia"	0.0454265
Ghali	0.045192
"Rockland County"	0.0451791
Malisevo	0.045019
Metroplex	0.0449361
Wildwood	0.0448573
Calabria	0.044648
"Tamil Nadu"	0.0446217
Urus-Martan	0.0445212
Badme	0.0444322
"Nile Delta"	0.0444004
BASQUE	0.044164
Sera	0.0439236
Qinghai	0.0436571
Berber	0.0433683
Fez	0.0432255
"Asia Pacific"	0.0431996
Kwazulu-Natal	0.0431158
"East Asian"	0.0429855
Somaliland	0.0429798
Windhoek	0.0426847
"West Bengal"	0.0424253
"Hainan Province"	0.0423503
Conde	0.0421619
Galilee	0.0419749
"Borough Park"	0.0419449
"Dead Sea"	0.0418484
Baotou	0.041809
"Northeast Asia"	0.0417617
"Bohai Sea"	0.041709
"Niger Delta"	0.0415926
UML	0.0415451
"South Vietnam"	0.0415429
Leavenworth	0.04144
Baalbek	0.0414006
Andes	0.0413387
Izmit	0.0412413
"Eastern Cape"	0.041151
"Port Moresby"	0.0410459
"degree program"	0.0409874
"one million US dollars"	0.0409202
Sonoma	0.0408778
Netherland	0.0408257
Muscat	0.0408194
Jalisco	0.0408086
CHT	0.0407755
Gisenyi	0.0407502
"Gulf Coast"	0.0406392
"Church of Jesus Christ of Latter-day Saints"	0.0406208
"Bergen County"	0.0405628
Bavaria	0.0403424
Zhangbei	0.0400418
))
(also-ran (desc 8682.17) (sims
doormat	0.0907299
contender	0.0892633
loser	0.0717898
front-runner	0.0713042
laggard	0.0711319
underachiever	0.0692471
vote-getters	0.068935
underdog	0.0674401
frontrunner	0.0646765
hopefuls	0.0642299
runner-up	0.0623946
finisher	0.0621925
"dark horse"	0.0620471
"long shot"	0.0618622
runners-up	0.061568
runnerup	0.0613416
finalist	0.0573397
entrant	0.0572312
laughingstock	0.0568932
pariah	0.0565046
multimillionaires	0.0539924
billionaires	0.0538023
"supporting players"	0.0534408
frontrunners	0.0530438
backwater	0.0523829
semifinalist	0.0513456
patsy	0.0500365
closers	0.0499229
longshot	0.049625
"whipping boy"	0.0490617
upstart	0.0489973
celebs	0.0485225
obstructionist	0.0481013
"role player"	0.0480852
sleeper	0.0479697
bellwether	0.0471744
All-stars	0.0466285
mushers	0.0459507
honoree	0.0456892
kingmaker	0.0456674
quarterfinalists	0.0456562
"top dog"	0.0454115
superstar	0.0447961
"lame duck"	0.0447895
afterthought	0.0445578
ideologue	0.0444646
stepchild	0.0441413
one-two	0.0436305
"big spender"	0.0435463
sideshow	0.0434234
outcast	0.0430462
troublemaker	0.0428975
outsider	0.0428161
endorser	0.0425978
powerhouse	0.0425027
"free port"	0.0424126
"major leaguer"	0.0422746
"fall guy"	0.0420653
"national leader"	0.0420269
presenter	0.0419034
irritant	0.0418027
outspent	0.0417314
disadvantage	0.0416253
flop	0.0415032
weakling	0.0414991
"white elephant"	0.0412286
talker	0.0411926
standouts	0.0411362
champ	0.0410218
achiever	0.0409731
Pretender	0.0408677
immortal	0.0406959
anachronism	0.0406039
newcomer	0.0403013
marathoner	0.0400172
))
("Alta Vista" (desc 2879.05) (sims
AltaVista	0.309456
Infoseek	0.274257
excite	0.256069
Lycos	0.190331
Hotmail	0.169565
"Lycos Inc."	0.162038
"Microsoft Network"	0.158653
ExciteAtHome	0.15795
GeoCities	0.152299
MSN	0.151775
"Ask Jeeves"	0.151352
Inktomi	0.150516
Google	0.148228
ATHOME	0.146848
Yahoo	0.138953
CNET	0.125855
"Go Network"	0.117082
theglobe.com	0.116977
Broadcast.com	0.107325
Checkfree	0.106723
DoubleClick	0.105849
tripod	0.105188
"Netscape Communications"	0.105173
snap.com	0.10468
Netcenter	0.104388
GoTo.com	0.10002
Travelocity	0.099712
"USA Networks"	0.0968842
CMGI	0.0952068
Xoom.com	0.0945063
Healtheon/WebMD	0.0936404
Portal	0.0926899
"MindSpring Enterprises"	0.0926034
CompuServe	0.0907209
ZDNet	0.089255
ETrade	0.0887322
"Yahoo Inc."	0.0859827
WebMD	0.0857194
V@@	0.0848228
Netscape	0.0836171
"Pratt &AMP; Whitney"	0.0816227
RealNetworks	0.0815219
PRIMESTAR	0.0813336
ICQ	0.0812715
Priceline.com	0.0812252
GO.com	0.0810003
STARMEDIA	0.0807188
Ticketmaster	0.0804238
eBay	0.080355
WebTV	0.0794976
"Home Shopping Network"	0.0793011
"JDS Uniphase"	0.0776775
ABCNews.com	0.077035
"Applied Materials"	0.0765513
EarthLink	0.0764502
"U.S. Trust"	0.0761512
Amazon.com	0.075763
iVillage	0.0747023
CNN.com	0.0731219
MCI	0.0724733
Acela	0.0716217
Uunet	0.0708945
"Sprint Corp."	0.0700681
Priceline	0.0697074
Netcom	0.0694837
eToys	0.0683422
"Learning Company"	0.0682051
"Learning Co."	0.0676381
PEOPLESOFT	0.0675847
Honeywell	0.0673511
DHL	0.0671996
Nextel	0.0666705
Healtheon	0.0664269
E-Trade	0.0664259
China.com	0.0652309
Akamai	0.064436
Stratus	0.064245
"caller ID"	0.0637919
Instinet	0.063458
Cummins	0.0632723
MindSpring	0.062921
prodigy	0.0618808
Ciena	0.0617286
Rolls-Royce	0.0617151
"regular army"	0.0616056
DirecTV	0.0613222
Infiniti	0.0609966
"Hongkong Telecom"	0.0603258
"gas turbine"	0.0599111
"Fred Meyer"	0.0595467
V-@@	0.0594805
"Apple Computer"	0.0589883
Bertelsmann	0.0589878
"General Electric"	0.0588692
"J. Peterman"	0.058756
Drugstore.com	0.0586347
Monster.com	0.0585904
NetZero	0.0585241
Fingerhut	0.0584882
"Rolls-Royce Motor Cars"	0.058445
Intuit	0.0582812
"Frontier Corp."	0.0578915
"New York Times Co."	0.057812
YPF	0.057773
Webvan	0.0572338
GTE	0.0571676
TiVo	0.0571115
Buy.com	0.0569323
aero	0.0567655
"Liberty Media"	0.0565025
"Cisco Systems Inc."	0.0563944
MP@.com	0.056153
"Sprint PCS"	0.0561004
"minority stake"	0.0559236
"Kraft Foods"	0.0558403
"Rolls Royce"	0.0556553
Mediaone	0.0555858
SDL	0.0554839
"MCI WorldCom"	0.0548618
directory	0.0547007
"Y&AMP;R"	0.0544164
ISP	0.0542216
"HBO &AMP; Co."	0.0542149
"Northeast Utilities"	0.0541
SkyTel	0.0538547
ESP	0.0534423
TCI	0.0531751
V@	0.0531053
Chrysler	0.0528997
Seagram	0.0528564
E-LOAN	0.0528223
Nabisco	0.0528219
"Berkshire Hathaway"	0.0527323
Primedia	0.0527166
Tropicana	0.0526888
videophone	0.0526856
Lucasfilm	0.0524877
Teledesic	0.0523933
"Tele-Communications Inc."	0.0523503
VoiceStream	0.0521566
"Atlantic Richfield Co."	0.0520329
"Times Mirror Co."	0.0520078
"Sun Microsystems"	0.0517348
"Canal Plus"	0.0516175
"Media Metrix"	0.0515959
SBC	0.0511075
"News Corp."	0.0508789
PolyGram	0.0507486
"Sky Harbor"	0.0506441
"Times Mirror"	0.0505748
"Vanguard Group"	0.0504424
"Relevant Knowledge"	0.0503368
CDnow	0.0502668
BellSouth	0.0501787
"U S West Inc."	0.0501182
Bestfoods	0.0500141
Frito-Lay	0.0499791
Viacom	0.049904
Roadrunner	0.0498959
"US Airways"	0.0495969
"Micron Technology"	0.0495672
"Pacific Bell"	0.049476
"TV guide"	0.0493972
Napster	0.0492992
Fairchild	0.0492278
turbine	0.0489864
Aetna	0.0488684
"Network Associates"	0.048816
Petrofina	0.0486081
"Delphi Automotive Systems"	0.0482665
"America Online Inc."	0.0479533
AXA	0.0478961
WorldCom	0.0478178
Pinkerton	0.0477774
"International Paper"	0.047596
Dupont	0.0475508
"Hong Kong Telecom"	0.0475144
combustion	0.0474249
Softbank	0.0474062
Berkshire	0.0472435
Conoco	0.04723
Penske	0.0471828
"MediaOne Group"	0.0470608
"Orange PLC"	0.0469727
"Lotus Development Corp."	0.046874
Pillsbury	0.0468646
aol.com	0.046856
Conrail	0.0468507
"Waste Management"	0.0468137
rover	0.0468092
COLTEC	0.0466457
"Airtouch Communications"	0.0466265
Qualcomm	0.0465765
"Real Networks"	0.0464877
Mobil	0.0462604
"Bankers Trust"	0.0461928
WAP	0.0461708
JetBlue	0.0461418
"Saatchi &AMP; Saatchi"	0.045842
forwarding	0.0458331
))
(altar (desc 22154.3) (sims
tomb	0.0975565
chapel	0.095154
shrine	0.0918031
pagoda	0.0872807
temple	0.0866212
stele	0.0842641
statue	0.0826638
lectern	0.0805999
monument	0.077879
Cathedral	0.0744081
pulpit	0.0737441
kiln	0.0719003
fountain	0.0704364
coffin	0.0703254
mosque	0.0700254
mausoleum	0.068945
edifice	0.0674955
sculpture	0.0674206
wall	0.0673724
memorial	0.0666745
desk	0.0663291
grotto	0.0652067
mantelpiece	0.0650476
"stained-glass window"	0.0649644
facade	0.0638502
sanctuary	0.063599
pyramid	0.0631861
Dome	0.0631113
church	0.061946
Crypt	0.061932
table	0.0619028
dais	0.061821
fresco	0.0616028
cemetery	0.061532
fireplace	0.061492
podium	0.0614257
Tower	0.061022
balcony	0.0609107
Basilica	0.0608042
arch	0.0607134
Monastery	0.0598458
synagogue	0.0597134
"stained glass"	0.0594558
nave	0.0592996
plaza	0.0592751
sarcophagus	0.0587481
staircase	0.0582147
crucifix	0.0580679
pedestal	0.0579856
archway	0.057619
hut	0.0570682
Grave	0.0570418
palace	0.0567668
carving	0.0567161
gate	0.0565505
Stairway	0.0563598
spire	0.0549444
courthouse	0.0548695
garden	0.0546686
pew	0.0545335
Fort	0.0542503
Casket	0.0537018
mural	0.0533046
ceiling	0.0533045
ruin	0.0529729
"stone wall"	0.0526403
cave	0.0526005
courtyard	0.0525215
hall	0.0521569
flagpole	0.0514541
graveyard	0.0514392
square	0.0512993
entrance	0.0511751
fortress	0.0511206
pillar	0.0506298
urn	0.050445
chandelier	0.0503197
"opera house"	0.0502782
pavilion	0.0500775
amphitheater	0.0498234
"window frame"	0.0496458
bungalow	0.0493147
crosse	0.0493066
mosaic	0.0492903
terrace	0.049101
dwelling	0.0489905
candle	0.0487524
Pottery	0.048675
mirror	0.048088
plaque	0.0479917
porch	0.0478428
"bell tower"	0.0477221
"Potala Palace"	0.0476419
kitchen	0.0476366
barricade	0.0470026
foyer	0.0467813
slab	0.0466616
Capitol	0.0465666
steeple	0.0465591
painting	0.0462792
throne	0.046246
headstone	0.0460547
Castle	0.0459397
vase	0.0457538
shack	0.0456119
"front door"	0.0455541
"Western Wall"	0.045536
statuary	0.0451144
dock	0.0450937
furniture	0.0448635
easel	0.0447011
ornament	0.0445551
platform	0.0444566
booth	0.0442631
walkway	0.0440781
"dining room"	0.0439117
doorway	0.0439044
latrine	0.0438576
"Summer Palace"	0.0437878
gravestone	0.0437378
skeleton	0.0437372
library	0.043613
cubicle	0.0435093
toilet	0.0434989
figurine	0.0434887
stair	0.0433493
bed	0.0432607
rostrum	0.0432157
"bus stop"	0.0431908
barn	0.0431792
"video screen"	0.0431646
rotunda	0.0431268
inscription	0.0431217
patio	0.042933
garage	0.0428728
fortification	0.0428434
"picture window"	0.0424093
ledge	0.0423132
tent	0.0422871
locker	0.0422609
scaffolding	0.0420444
lantern	0.0419955
"Great Wall"	0.0419612
"dining table"	0.0418864
gallery	0.0418169
fence	0.0417759
tile	0.0417527
replica	0.0417427
"Angkor Wat"	0.041721
tombstone	0.0416044
lamp	0.0415765
playground	0.0415358
Villa	0.0414381
auditorium	0.0413374
stove	0.0412967
"wall painting"	0.041243
"town hall"	0.0411278
enclosure	0.0410334
"place of worship"	0.040883
brick	0.0408538
"post office"	0.0407544
chimney	0.0407336
Lighthouse	0.0407256
Sphinx	0.0405816
"city hall"	0.0405429
frieze	0.0405337
artifact	0.0404626
Obelisk	0.0404599
choir	0.0404095
lawn	0.0403438
aquarium	0.0403312
))
("altar boy" (desc 1369) (sims
"big leaguer"	0.119385
seminarian	0.111796
"farm boy"	0.107825
pallbearer	0.105254
"eagle scout"	0.103923
infantryman	0.102754
"Rhodes Scholar"	0.10161
"electrical engineer"	0.101506
"staff sergeant"	0.100523
Atlantan	0.0965085
"art student"	0.0946901
Kurd	0.094569
stuntman	0.0912794
"eye doctor"	0.091022
choirboy	0.0907716
"prison guard"	0.0895555
Deacon	0.0892397
bodybuilder	0.0890926
"little leaguer"	0.088634
"volleyball player"	0.0873783
"black person"	0.0870165
"fall guy"	0.0859268
"boy wonder"	0.0854305
exterminator	0.085331
corporal	0.0847313
Intimidator	0.0844389
"Black Panther"	0.0839783
claimer	0.0834577
first-rounder	0.0829232
"NBA All-Star"	0.082833
weatherman	0.0822511
"foreign service officer"	0.0815317
lifer	0.0814268
"exotic dancer"	0.0813814
"draft dodger"	0.0807009
vaulter	0.0805706
eighth-grader	0.0796237
techie	0.0793003
"test pilot"	0.0788386
"foster child"	0.0786719
battler	0.0780942
"Southern Baptist"	0.0777752
ensign	0.0771989
"aerospace engineer"	0.0771551
tribesman	0.0765412
chaperone	0.0761994
"Edwin Edwards"	0.0759639
fifth-grader	0.0751383
"account executive"	0.0748472
skydiver	0.0745343
stepdaughter	0.0745183
segregationist	0.0740761
"naval officer"	0.0737839
"Texas longhorn"	0.0737787
"murder suspect"	0.0733456
All-Americans	0.0732639
alderman	0.0728118
"track star"	0.0727738
egomaniac	0.0727187
schoolboy	0.0726609
bystander	0.0725806
cellmate	0.0714734
patrolman	0.0712757
"hockey coach"	0.0712445
evangelist	0.0711979
concertmaster	0.0711383
"deputy sheriff"	0.0709175
"law student"	0.0708841
"postmaster general"	0.0705836
"Central American nation"	0.0704494
bricklayer	0.070363
"English teacher"	0.0702416
lifter	0.0702296
queer	0.0701073
"partner in crime"	0.0700448
autocrat	0.069594
"Orthodox Jew"	0.0695752
batboy	0.0695194
paralegal	0.069283
bellhop	0.0690487
valedictorian	0.0687156
Whitehead	0.068706
miler	0.0681524
assemblyman	0.0681372
"professional golfer"	0.0681175
underling	0.068091
bookkeeper	0.0680686
"interior decorator"	0.0679982
"science teacher"	0.0679749
"school teacher"	0.0679171
nun	0.0675044
scoutmaster	0.0673742
hyper	0.0673249
Tsvangirai	0.0672358
spymaster	0.0670723
Olympian	0.0670539
"law partner"	0.0670231
Irishmen	0.0668341
"au pair"	0.0666942
medic	0.0666811
"solicitor general"	0.066674
anchorman	0.0666566
"Black Panthers"	0.0666058
"house guest"	0.0665309
"Linda Jones"	0.0661658
geophysicist	0.0659276
"management consultant"	0.0658933
offstage	0.0658552
paraplegic	0.0656671
caddie	0.0654936
passerby	0.0653706
"baseball player"	0.0650911
double-teamed	0.064961
"risk taker"	0.0648503
"intelligence analyst"	0.0646543
schoolgirl	0.0645779
Klansmen	0.0645724
gunner	0.0643557
"world traveler"	0.064263
"registered nurse"	0.0641927
bloomer	0.0641313
watchman	0.064118
"top dog"	0.0640752
"financial officer"	0.063965
"Lawrence Taylor"	0.0637997
"free spirit"	0.063751
Pillars	0.0637275
"young girl"	0.0635122
walk-on	0.0633666
bridegroom	0.0632875
playmate	0.063222
southpaw	0.063143
"graduate student"	0.0629106
schoolmate	0.0628792
"Paul Justin"	0.0628425
ex-Marine	0.0627752
transient	0.0627414
airman	0.062627
lifeguard	0.0625882
marksman	0.0623469
apprentice	0.062174
"Laurent Fabius"	0.0621511
"department employee"	0.0620525
"talent agent"	0.0619004
ex-girlfriend	0.0618416
"guardian angel"	0.0618308
student-athletes	0.0616869
"hockey player"	0.061346
"American plane"	0.0613377
"major leaguer"	0.0613269
cadet	0.0611234
"state senator"	0.0607926
lumberjack	0.0607801
jailer	0.0607212
"TV star"	0.0605911
ingenue	0.0605846
"faculty member"	0.0603943
"minor leaguer"	0.060376
"John Vanbiesbrouck"	0.0602381
"police sergeant"	0.0600375
beekeeper	0.0598095
sherpas	0.0597392
"Cy Young Awards"	0.0596847
"Pro Bowler"	0.0595769
"heavy hitter"	0.0595568
"union representative"	0.0595514
"Sarah Hughes"	0.0595446
learner	0.0594988
Beatle	0.0594932
highflier	0.0594241
guardsmen	0.0592702
"maintenance man"	0.0592695
"Pro Bowls"	0.0591768
daredevil	0.0591042
"English professor"	0.0590467
churchgoer	0.0590224
"Branch Davidians"	0.0589904
"white knight"	0.0588965
chemist	0.0588272
"art director"	0.0588199
"prima donna"	0.058791
switch-hitter	0.0587779
"belly dancer"	0.0587047
kayaker	0.0587002
brat	0.0586622
tomboy	0.0586563
Bostonian	0.058598
"campaign worker"	0.0585255
plotter	0.0584837
"executive officer"	0.05842
"grad student"	0.0583698
"important person"	0.0582693
"girl scout"	0.058173
internationalist	0.0580947
"Jocelyn Thibault"	0.0577683
Episcopalian	0.0576665
"political detainee"	0.057588
"All-Star Games"	0.0574441
"black woman"	0.0573839
toxicologist	0.0573522
))
(AltaVista (desc 9298.4) (sims
"Alta Vista"	0.309456
excite	0.241386
Lycos	0.224553
Infoseek	0.21613
Yahoo	0.175711
GeoCities	0.162942
MSN	0.155449
"Ask Jeeves"	0.15501
"Lycos Inc."	0.149781
ExciteAtHome	0.146421
Inktomi	0.138661
Google	0.134932
"Microsoft Network"	0.133019
ATHOME	0.129734
Netcenter	0.128718
CMGI	0.121598
GoTo.com	0.121405
Priceline.com	0.120014
GO.com	0.117416
MP@.com	0.115789
CNET	0.114411
"America Online"	0.113499
E-Trade	0.113062
eBay	0.111205
DoubleClick	0.109222
EarthLink	0.108569
Portal	0.107115
ZDNet	0.106499
Netscape	0.1053
Xoom.com	0.105049
Broadcast.com	0.103104
Hotmail	0.102395
CompuServe	0.10228
ETrade	0.101801
CDnow	0.100498
Healtheon/WebMD	0.0995684
Checkfree	0.0993797
Travelocity	0.0989318
"Go Network"	0.0984115
AOL	0.0965961
Ciena	0.0963439
Amazon.com	0.0959724
ICQ	0.0958023
tripod	0.0947818
iVillage	0.0943149
Netcom	0.094049
MindSpring	0.0931496
Priceline	0.0919813
WebTV	0.0911109
Monster.com	0.0905726
Stratus	0.0899637
Barnesandnoble.com	0.0895578
Expedia	0.0886653
VoiceStream	0.0869301
"U.S. Trust"	0.0869116
Drugstore.com	0.0863416
RealNetworks	0.0851712
MCI	0.0850049
snap.com	0.0849503
ENTERGY	0.0848057
DirecTV	0.0847093
Scania	0.0842355
Cisco	0.0841257
Amazon	0.0838144
"Delphi Automotive Systems"	0.0836882
"MCI WorldCom"	0.0833687
ALZA	0.0831248
Delphi	0.0823146
theglobe.com	0.0821297
WebMD	0.0819897
PRIMESTAR	0.0814465
eToys	0.0806429
TYCO	0.0806047
Qwest	0.0803498
Nextel	0.0799763
EMC	0.0797607
Akamai	0.079528
"Time Warner"	0.0793341
"USA Networks"	0.0789816
"Learning Co."	0.0784252
"Netscape Communications"	0.0779846
Schwab	0.0770627
NetZero	0.0768796
Mediaone	0.0760503
Nortel	0.0747037
Intuit	0.0744657
Mannesmann	0.0742634
Petrofina	0.0741879
McKesson	0.0740873
China.com	0.073977
"Apple Computer"	0.0738645
Napster	0.0737813
"Rite Aid"	0.0735785
Ge	0.0732552
"Sprint PCS"	0.0730021
BellSouth	0.0729613
BankAmerica	0.0726957
Conoco	0.0717546
Compaq	0.071751
Peapod	0.0716612
SBC	0.0716416
"Royal Bank"	0.0713743
TCI	0.0712559
Aetna	0.071226
Comsat	0.0710568
Webvan	0.0710487
"Sprint Corp."	0.0705678
Healtheon	0.070531
Airtouch	0.0703659
"America West"	0.0703462
Chiron	0.070085
Intel	0.0700646
XYLAN	0.0700056
"Red Hat"	0.0699367
IBM	0.0697649
Norwest	0.0695343
Motorola	0.0694421
ARCO	0.0693945
Toysmart.com	0.0689074
Cyrix	0.0688111
"Air Canada"	0.0680869
WorldCom	0.0679188
"US Airways"	0.0676924
Genentech	0.0676727
"Raging Bull"	0.0675711
DrKoop.com	0.067505
Uunet	0.0672967
WPP	0.0672771
Honeywell	0.0669995
"Bay Networks"	0.0668273
Seagram	0.0667846
"P&AMP;G"	0.0666717
oracle	0.066655
"Dell Computer Corp."	0.0664933
"Yahoo Inc."	0.0661308
Disney	0.0661053
Litton	0.0660812
VISTEON	0.0660687
E-LOAN	0.0660425
Reel.com	0.0657982
Citibank	0.0657393
PATHFINDER	0.0656428
Pfizer	0.0654146
Instinet	0.0653127
Rolls-Royce	0.0651567
REVLON	0.0650921
Olivetti	0.0649687
"Telecom Italia"	0.0648736
MACROMEDIA	0.0648096
Qualcomm	0.0645347
STARMEDIA	0.0643833
quicken	0.0643558
Fedex	0.0643118
Tropicana	0.0642578
"U S West"	0.0641888
Hughes	0.0641367
Agilent	0.0641237
SmithKline	0.0640674
"MindSpring Enterprises"	0.064027
TheStreet.com	0.0638566
Nabisco	0.0636584
Monsanto	0.0636434
"Atlantic Richfield"	0.063636
Amoco	0.0635124
COLTEC	0.0633047
adobe	0.0632982
NatWest	0.063287
Mobil	0.0629523
Hewlett-Packard	0.0627851
"RJR Nabisco"	0.0627761
BSKyB	0.0626386
"Weather Channel"	0.0624284
"Kraft Foods"	0.0623716
"Microsoft Corp."	0.0622453
"Silicon Graphics"	0.0621694
"BP Amoco"	0.0621261
"Times Mirror"	0.0621162
Viacom	0.0621108
Astra	0.0617642
Renault	0.0617514
ISP	0.0617216
Vodafone	0.0617132
PEOPLESOFT	0.06165
HP	0.0616164
Ticketmaster	0.0615237
Transamerica	0.0614893
BankBoston	0.0614732
"Pratt &AMP; Whitney"	0.0614707
"Digital Equipment Corp."	0.0613732
"GE Capital"	0.0613705
"CBS SportsLine"	0.061308
"Network Solutions"	0.060963
VW	0.0608816
"Bank of Scotland"	0.060808
GTE	0.0607849
"News Corp."	0.0607684
"World Wide Web"	0.0607324
"Barnes &AMP; Noble"	0.0605408
RAMBUS	0.0604962
"road runner"	0.0603912
))
("alter ego" (desc 10243.8) (sims
personae	0.0679885
persona	0.0623318
archetype	0.0610857
"guardian angel"	0.0526686
stand-in	0.0521
"house guest"	0.0501652
temptress	0.049272
"leading lady"	0.0487771
sleuth	0.048511
sidekick	0.0484682
narrator	0.0465265
"foster mother"	0.0452505
protagonist	0.0452377
"soul mate"	0.0448995
villain	0.0446168
Incarnation	0.0443583
soulmate	0.04398
"Hannibal Lecter"	0.0430167
heroine	0.042519
schemer	0.0421847
lawman	0.0419686
genius	0.0418928
"set piece"	0.0409599
sensibility	0.0403049
))
(alteration (desc 13745) (sims
modification	0.129621
mutation	0.1086
adjustment	0.10604
abnormality	0.0969205
flaw	0.0927675
tweak	0.0906415
revision	0.0905941
defect	0.0866862
improvement	0.0844295
deletion	0.0826125
malfunction	0.0789014
deterioration	0.0778027
disruption	0.0762909
repair	0.0731094
hiccup	0.0730171
variation	0.0728734
impairment	0.0714842
Correction	0.0689859
readjustment	0.0682857
imperfection	0.0674013
kink	0.0673065
"policy change"	0.0671278
similarity	0.0668657
overhaul	0.0668307
manipulation	0.0659014
deviation	0.0657052
hitch	0.0639154
deficiency	0.0634017
shortcoming	0.0627256
cutback	0.0626583
imbalance	0.0623177
overlap	0.0622609
renovation	0.0614305
degradation	0.0611203
divestitures	0.0611112
slippage	0.060871
realignment	0.0603227
wrinkle	0.060026
erosion	0.0597047
breakdown	0.0590302
rearrangement	0.0589099
refinement	0.0584018
activation	0.0578508
snag	0.0577295
consolidation	0.0575639
fluctuation	0.0570956
reduction	0.0570319
discrepancy	0.0567481
transformation	0.0566893
anomaly	0.0565545
inconsistency	0.056035
removal	0.0559656
"price increase"	0.0554644
leak	0.0552087
demolition	0.0551796
"abrupt change"	0.0551213
"name change"	0.0550923
amendment	0.0548686
glitch	0.0543663
postponement	0.0541643
enhancement	0.0540758
maintenance	0.0539999
dropoff	0.0539725
interruption	0.0539526
mistake	0.0537907
deceleration	0.0537378
"job cut"	0.053723
weakness	0.0536481
"small change"	0.0535505
reversal	0.0530859
distortion	0.0530108
"rate hike"	0.0529289
thawing	0.052871
inclusion	0.0528379
"tax change"	0.0528282
revaluation	0.0525809
conversion	0.0519198
trait	0.0518969
acceleration	0.0518946
substitution	0.0517951
shake-up	0.0517859
"human activity"	0.0515778
"tax increase"	0.051519
relaxation	0.0514879
layoff	0.0510888
declassification	0.0510597
cancellation	0.0509827
oddity	0.0508777
dent	0.0507284
easing	0.0506225
redesign	0.0505945
copying	0.0505092
backsliding	0.050391
"price cut"	0.0503587
gaffe	0.0503307
diversity	0.0503289
confiscation	0.0501912
reorganization	0.0501868
decoding	0.050165
"rate increase"	0.0501081
disclosure	0.0499092
snafu	0.0498664
"rate cut"	0.0498519
verification	0.0498226
malformation	0.0498162
characteristic	0.0497173
continuity	0.049644
disorder	0.0495123
quirk	0.049292
downsides	0.0490549
logging	0.0490272
mapping	0.0489924
Limitation	0.0489111
variant	0.048751
blip	0.0487031
provision	0.0486593
instability	0.0486428
defection	0.048621
introduction	0.0486139
restoration	0.0485975
upturn	0.0483742
impediment	0.0482656
flexibility	0.0481341
extension	0.0481283
"management change"	0.048093
drawback	0.0480328
"spending cut"	0.0479818
elaboration	0.0478751
volatility	0.0478038
contradiction	0.0477638
"rate rise"	0.0476838
infraction	0.0476219
duplication	0.0475702
caveat	0.0475611
breakthrough	0.0474563
regression	0.047375
testing	0.0472557
innovation	0.0472006
reassessment	0.0471653
falloff	0.0471256
upgrading	0.0471249
inequity	0.0471017
inadequacy	0.0470836
constraint	0.0470708
slowdown	0.047067
enlargement	0.0470378
diversification	0.0469974
breach	0.0469957
reconfiguration	0.0468889
"loose end"	0.0467689
divergence	0.0467687
variance	0.0466817
turnaround	0.046655
reshuffle	0.046586
Ripple	0.0465655
disparity	0.0465305
decay	0.046511
Tightening	0.0464923
makeovers	0.0463828
trauma	0.0462929
disturbance	0.046183
contamination	0.0461717
loosening	0.046136
destruction	0.0461257
miscalculation	0.0461255
distinctiveness	0.046074
corroboration	0.0460246
thaw	0.0458999
weakening	0.045709
adoption	0.0456118
error	0.045537
"plastic surgery"	0.0455357
separation	0.0454564
vibration	0.0454493
restriction	0.0454117
clause	0.0453597
"surgical procedure"	0.0452924
deflation	0.0452876
pullback	0.0452349
transparency	0.0452182
belt-tightening	0.0452083
"memory loss"	0.0451847
intervention	0.0451574
retrenchment	0.0451099
replication	0.0450705
vandalism	0.0450561
stipulation	0.0450517
downturn	0.0450511
irregularity	0.0449465
parameter	0.0449111
inaccuracy	0.0448473
slipup	0.0448271
complexity	0.0447507
"detective work"	0.0446953
makeover	0.0446843
"budget cut"	0.0446782
shutdown	0.044615
nicety	0.0446118
sequence	0.0446092
placement	0.0445906
))
(altercation (desc 11474.8) (sims
scuffle	0.235904
melee	0.161849
brawl	0.161586
fracas	0.160792
fistfight	0.114975
skirmish	0.108716
confrontation	0.107361
spat	0.107021
shootout	0.104382
quarrel	0.103688
gunfight	0.099768
incident	0.0987208
gunbattle	0.0984804
clash	0.0974726
shoot-out	0.0940122
firefights	0.0888716
run-in	0.0874956
firefight	0.085609
shootouts	0.0843508
encounter	0.0838805
feud	0.0805072
argument	0.0773087
rioting	0.077036
standoff	0.0769143
Collision	0.0766858
disturbance	0.0760401
rapport	0.0759808
holdup	0.0757594
riot	0.0753685
squabble	0.0735541
crossfire	0.0733731
accident	0.0731447
gunbattles	0.0728762
"fatal accident"	0.07135
"sexual activity"	0.0712814
mishap	0.0709679
colloquy	0.0697802
tussle	0.0683085
stabbings	0.0678744
robbery	0.0665682
"drive-by shooting"	0.0663599
"coup attempt"	0.0661158
duel	0.0655505
beating	0.0639341
dustup	0.0637701
"wrestling match"	0.0636846
fisticuffs	0.0636688
raid	0.0630843
outburst	0.0630297
flare-up	0.0630285
"market correction"	0.062045
"price war"	0.0613248
tirade	0.0610744
miscommunication	0.061028
wreck	0.060992
rampage	0.0603925
slugfest	0.0600612
derailment	0.0595602
hijacking	0.0595296
tiff	0.0590018
escapade	0.0589963
infraction	0.0585053
scrum	0.0580652
conversation	0.0579953
mutiny	0.0577833
pileup	0.0577819
burglary	0.0576398
coverup	0.0574356
"sexual assault"	0.0573079
eruption	0.0572631
bickering	0.0568983
abduction	0.056889
"custody battle"	0.0567312
friction	0.0566846
snit	0.0563471
break-in	0.0563126
"sex act"	0.0562227
falling-out	0.0561705
gunfire	0.0560619
wrangle	0.0559846
demonstration	0.0557913
sparring	0.0557444
slaying	0.0555669
uprising	0.0549842
huddle	0.0540729
misunderstanding	0.0540283
breakup	0.0540229
face-off	0.0536441
"bomb blast"	0.0536256
gaffe	0.0535834
stampede	0.0530836
"pitched battle"	0.0529481
heist	0.0528606
rift	0.0525649
pandemonium	0.0524793
indiscretion	0.052402
"practice session"	0.0523738
massacre	0.0523424
kidnapping	0.0523323
commotion	0.0522554
disagreement	0.0520182
carnage	0.0520119
tug-of-war	0.0514202
temblor	0.0513947
rebellion	0.0513068
vandalism	0.0510387
unrest	0.0505044
ambush	0.0504802
"power failure"	0.0503705
banter	0.050359
impropriety	0.0502806
"safety problem"	0.050148
workout	0.0500806
rape	0.050042
tragedy	0.0499339
"engine failure"	0.0498683
"slave trade"	0.04958
blowup	0.0495585
contretemps	0.0489747
coup	0.0489648
spree	0.0485874
"conference call"	0.0484111
"chemical reaction"	0.0483767
socializing	0.0483693
offence	0.048369
shelling	0.0483329
rainout	0.0483254
"exhibition game"	0.0481889
scam	0.0479742
"written agreement"	0.0474892
back-and-forth	0.047415
rollovers	0.0471868
pleasantry	0.0470966
atrocity	0.0468922
"close call"	0.0467755
"basketball game"	0.046664
malfunction	0.046626
"air raid"	0.0465047
tantrum	0.0464507
interaction	0.0463883
hiccup	0.0462549
"armed robbery"	0.0462519
meltdowns	0.0462479
tete-a-tete	0.0459992
scrape	0.0459577
disruption	0.0457603
assassination	0.0457547
goings-on	0.0457419
outage	0.0456917
walkout	0.045686
irregularity	0.0455689
manhunt	0.0454526
horseplay	0.0452961
purge	0.0452261
mayhem	0.0452014
transgression	0.0451314
intercourse	0.0450726
"chain reaction"	0.0449428
free-for-all	0.0448428
theft	0.0448217
misconduct	0.0448054
"corruption scandal"	0.0447782
glitch	0.044678
Quake	0.0446771
bonding	0.0446271
flap	0.0444945
tryst	0.0444452
fatality	0.0444223
ejection	0.044229
"labor dispute"	0.0442269
"jam session"	0.0441334
liaison	0.0440243
looting	0.0439411
ruckus	0.0438622
rivalry	0.0436913
"telephone conversation"	0.0435579
"drug case"	0.0435325
"playoff game"	0.0435177
revolt	0.0434562
conflagration	0.0434559
concussion	0.0433434
"takeover battle"	0.0432871
spacewalk	0.0431549
siege	0.0431312
mix-up	0.0431074
"group discussion"	0.043074
bloodshed	0.0430529
"arms deal"	0.0430205
"work stoppage"	0.0429289
"love affair"	0.0429169
spillage	0.0426757
firing	0.0426514
scrimmage	0.0425904
timeouts	0.0423652
blaze	0.0423621
brouhaha	0.0418914
frenzy	0.0417985
"sexual intercourse"	0.0416967
blackout	0.0416754
embezzlement	0.0416666
))
(alternate (desc 12310.1) (sims
finalist	0.0668733
juror	0.0666238
"other nine"	0.0599624
contrarian	0.056127
hyper	0.0554508
storybook	0.0545563
swimmer	0.0529797
no-frills	0.0513987
fallback	0.0505609
co-accused	0.0501926
top-@@	0.0490402
academician	0.0489463
AFA	0.0483712
"Black Panther"	0.0483661
zigzag	0.0478582
"running mate"	0.0473373
"major-league team"	0.0472791
"up to eight"	0.0468658
co-conspirator	0.0467113
"No. @s"	0.0464698
"break of serve"	0.0462929
pallbearer	0.0462025
great-grandchildren	0.0458028
bidder	0.045232
"major leaguer"	0.0450264
"seeded player"	0.0449005
Asian-American	0.044875
quarterfinalists	0.0447093
prong	0.0433505
"most valuable player"	0.0432497
semifinalist	0.0429015
bare-bones	0.0425072
finisher	0.0423893
"Final Fours"	0.0420543
inductees	0.0419983
upperclassmen	0.0418341
revisionist	0.041648
"service break"	0.041608
expansionist	0.041276
All-America	0.0411755
starts.	0.0409756
backup	0.0406072
QBs	0.0405569
"more than one"	0.0404501
"first person"	0.040424
))
(alternative (desc 91640.8) (sims
option	0.148032
solution	0.130136
approach	0.107143
remedy	0.106572
measure	0.0990404
method	0.0950546
opportunity	0.0950001
strategy	0.0947045
access	0.0944124
tool	0.092646
means	0.0922245
choice	0.0914589
proposal	0.0907155
plan	0.0900128
amendment	0.0873855
substitute	0.087152
way	0.0868665
compromise	0.0863653
challenge	0.0856057
answer	0.0835754
idea	0.083167
addition	0.0825073
product	0.0821247
legislation	0.0819677
possibility	0.0817731
obstacle	0.0814436
incentive	0.0813785
"tax cut"	0.0787596
change	0.0777187
program	0.0771132
candidate	0.0767648
model	0.0765282
response	0.0765249
mechanism	0.0764047
treatment	0.0761241
opposition	0.075782
initiative	0.0754777
service	0.075261
technology	0.0752381
scenario	0.0751861
package	0.0748995
priority	0.0737206
drug	0.0731866
therapy	0.0727363
benefit	0.0723708
bill	0.0720767
reference	0.0715766
system	0.0715641
version	0.0703832
key	0.0702385
destination	0.070139
policy	0.0700699
Entertainment	0.069953
threat	0.0698934
procedure	0.0697343
antidote	0.0696154
supplement	0.0695375
fix	0.0695081
ways	0.0693224
reform	0.069078
blueprint	0.0689867
step	0.0687703
proposition	0.0687617
competitor	0.0685998
explanation	0.0683452
source	0.0683039
cure	0.0683001
thing	0.0682656
challenger	0.067968
drawback	0.0678421
technique	0.0677768
objection	0.0677657
guide	0.0676555
link	0.0675542
standard	0.0671008
reaction	0.0669681
commitment	0.0666648
haven	0.0664651
issue	0.0664489
consequence	0.0662183
project	0.0661615
replacement	0.0654857
concept	0.0654421
Formula	0.0650278
risk	0.0647492
punishment	0.0647379
part	0.0644056
arrangement	0.0642963
voucher	0.0642267
fare	0.0641996
Vaccine	0.06404
recommendation	0.0639412
"tax break"	0.0638156
form	0.0637778
resource	0.0637457
prospect	0.0637408
reason	0.0635485
"first step"	0.0634896
instrument	0.0634282
device	0.0633875
outcome	0.0633543
suggestion	0.0632196
food	0.0630525
connection	0.0629712
topic	0.0628645
target	0.0628222
modification	0.062822
"stumbling block"	0.0627177
problem	0.0626533
application	0.0625658
medicine	0.0625361
support	0.0625243
deal	0.0624504
improvement	0.0624487
concession	0.0622879
site	0.0622871
software	0.0622861
information	0.062143
platform	0.0620378
task	0.0620227
ones	0.0619912
exposure	0.0619413
guideline	0.0619379
subject	0.0618411
material	0.061817
"role model"	0.0617159
item	0.0616118
kind	0.0615521
result	0.0615305
right	0.0615159
censure	0.0608476
impediment	0.0607835
PC	0.0606069
experience	0.06054
advice	0.0605242
successor	0.0605116
revision	0.0604981
law	0.0604588
channel	0.0603832
format	0.0602058
evidence	0.0601622
medication	0.0601184
innovation	0.0599979
factor	0.0598843
aspect	0.0598453
tactic	0.0597538
objective	0.0596008
resistance	0.0594984
provision	0.0593796
chance	0.0593055
medium	0.0592639
proof	0.059201
scheme	0.0591513
bargain	0.0591276
no	0.0590019
resolution	0.0589763
feature	0.0589488
agenda	0.0589405
advantage	0.0588902
route	0.0587716
brand	0.0587151
essential	0.0586004
theory	0.0585509
combination	0.0585478
gift	0.0585341
weapon	0.0585035
coverage	0.0584961
environment	0.0584263
element	0.0584222
programming	0.0583632
ideal	0.0582152
equipment	0.0580896
requirement	0.0580324
clue	0.057974
example	0.0579397
design	0.0578003
condition	0.0577593
excuse	0.0577389
matter	0.0576863
contrast	0.0576368
aid	0.0575855
"operating system"	0.0575221
vision	0.0575059
attraction	0.057365
contribution	0.0572548
theme	0.0571262
nominee	0.0570466
network	0.0570395
business	0.0569807
breakthrough	0.0567976
action	0.0567899
offering	0.0567778
Housing	0.0567638
message	0.0567107
boon	0.05671
fund	0.0566667
reward	0.0565286
prelude	0.0565099
contender	0.0564863
job	0.0564455
))
("alternative medicine" (desc 3974.57) (sims
acupuncture	0.116649
TCM	0.104308
hypnosis	0.0885424
yoga	0.082211
"mental health"	0.0806458
chiropractic	0.0797322
therapy	0.0749969
shui	0.073572
"family planning"	0.0716833
witchcraft	0.0696056
Qigong	0.0685938
psychotherapy	0.0668545
herb	0.0651249
Buddhism	0.0645423
mem	0.0639812
geology	0.0639134
interferon	0.0638956
"Pipeline Safety"	0.0631878
astronomy	0.0627865
baldness	0.0627334
"cosmetic surgery"	0.0617663
"social science"	0.0611953
Immunology	0.0608585
"Falun Gong"	0.0606736
Botany	0.0604992
Falun	0.0604957
"artificial intelligence"	0.0600699
"computer science"	0.0599125
genetics	0.0595527
biotechnology	0.0595369
"computer technology"	0.0595328
incontinence	0.0592878
"water filter"	0.0589472
"skin care"	0.0576686
nutrition	0.0572988
"martial art"	0.0569464
self-help	0.0565091
hemophilia	0.0563516
geriatrics	0.0560935
"health food"	0.0555651
"consumer credit"	0.0553585
antacid	0.0548721
gardening	0.054757
"preventive medicine"	0.053917
anthropology	0.053782
"natural history"	0.0536207
"sign language"	0.0534748
cryptography	0.0531842
"St. John's wort"	0.0528851
bioengineering	0.0526655
"black magic"	0.0524933
"prescription medicine"	0.0524532
spirituality	0.0521672
"life insurance"	0.052018
infertility	0.0519105
andro	0.0517267
abstinence	0.0514776
"high technology"	0.0514327
psoriasis	0.0506819
contraceptive	0.0501784
"mass transit"	0.0496228
"cardiovascular disease"	0.0495768
antibiotic	0.0485021
"medical science"	0.0481672
"hearing aid"	0.0480741
"internal medicine"	0.047937
biotech	0.0478917
genealogy	0.0477792
woodworking	0.0476566
immunization	0.0473723
genomics	0.0472671
"atomic energy"	0.0471571
"wind power"	0.0471536
"nuclear physics"	0.0468886
horticulture	0.0468558
"folk art"	0.0467652
megamergers	0.0466791
"civil rights"	0.0466473
arthritis	0.046366
viagra	0.0462687
"computer graphics"	0.0462178
Abortion-rights	0.046066
B-@s	0.0459734
healthcare	0.0459128
glaucoma	0.0459097
"life science"	0.0458965
"human factor"	0.0458703
vitamin	0.0457628
Talmud	0.04568
biology	0.0456039
e-business	0.0453414
archeology	0.0451553
"moral hazard"	0.0451431
anesthesia	0.0450612
philanthropy	0.0450053
fitness	0.0449314
archaeology	0.044896
leptin	0.0447755
KIMCHI	0.0439458
Judaism	0.0439403
"arms control"	0.0439386
"specialty chemical"	0.0437854
weight-loss	0.0437088
homelessness	0.0435709
priesthood	0.043555
counterterrorism	0.0433551
"pet food"	0.0433494
ADHD	0.0433419
"building material"	0.0433215
mathematics	0.0433137
ultrasound	0.0432872
timepiece	0.0431544
als	0.0431434
oceanography	0.0430803
"genetic engineering"	0.0430798
autism	0.042883
folklore	0.042883
"communications technology"	0.0426878
webcams	0.0426461
seismology	0.0423239
"solar energy"	0.0421831
"population control"	0.0420539
"Weekly Standard"	0.0420506
Zen	0.0420503
UFO	0.0419448
entrepreneurship	0.0419347
transplantation	0.0417173
"prescription drug"	0.0417014
echinacea	0.0417004
Scientology	0.0416541
phonics	0.041646
religiosity	0.0416218
"community newspaper"	0.0415567
Wicca	0.0415378
retailing	0.0415174
telephony	0.0414548
diagnostics	0.0414123
desegregation	0.0413768
theology	0.0413509
pronoun	0.04112
beverage	0.0410457
childcare	0.0410178
angiogenesis	0.0409712
telemedicine	0.0409035
"corporal punishment"	0.040797
outpatient	0.0407715
"nuclear energy"	0.0407162
"Weight Watchers"	0.0406174
TPA	0.040587
epidemiology	0.0405748
algebra	0.0403372
pathology	0.0402944
"frozen food"	0.0402934
Catholicism	0.0402697
centenarian	0.0401877
ENBREL	0.0401815
"surgical procedure"	0.0401158
forestry	0.0400688
))
(alternator (desc 1131.25) (sims
"video equipment"	0.109826
"steam turbine"	0.0970436
"electric motor"	0.0906259
boiler	0.0898724
"Defense General Supply Center"	0.0853874
"gas stove"	0.0841854
"kerosene lamp"	0.0811996
"solar panel"	0.0807931
defroster	0.0779704
"circuit board"	0.0762671
"Defense Supply Center"	0.0761408
"cooling system"	0.0739352
"Ryan Nece"	0.071977
"canned goods"	0.0709796
toiletry	0.0708453
flashlight	0.0699291
"hand tool"	0.0698143
"aircraft engine"	0.0678807
"false imprisonment"	0.0659449
"dry ice"	0.0649775
"air filter"	0.0632901
"airplane ticket"	0.0620335
"surgical instrument"	0.0604731
transformer	0.0602271
Junger	0.0602195
"communications equipment"	0.0599598
Cyrix	0.0592216
adapter	0.0591828
"Dave Thomas"	0.0590506
"power steering"	0.0583973
air-conditioner	0.0579513
"water pump"	0.057289
capacitor	0.056967
earphone	0.0562895
"gasoline engine"	0.0561025
"telephone wire"	0.0560389
"radio transmitter"	0.0554667
"can opener"	0.0554227
"transmission line"	0.055212
"optical fiber"	0.05474
"microwave oven"	0.0546199
"fresh food"	0.0545152
purifier	0.0521711
excavator	0.0513675
"power cable"	0.0509637
"chemical analysis"	0.0509405
"electric fan"	0.0507818
"Jim Corsi"	0.0503741
"fire extinguisher"	0.0485308
thermostat	0.0484864
"Steve Parris"	0.0483358
"aircraft part"	0.0483115
"Hong Kong Telecom"	0.047993
SA-@	0.0477083
"first-aid kit"	0.0476137
"fire control"	0.0475609
"test equipment"	0.0474873
"Kent Graham"	0.0469775
"Mike Sirotka"	0.0469727
circuitry	0.0465572
emulator	0.0464209
motherboard	0.0463523
"medical instrument"	0.0459285
"Steve DeBerg"	0.0458243
forklifts	0.0453363
"Yancey Thigpen"	0.045202
"Tom Osborne"	0.0451859
"Trung Canidate"	0.0451476
Microelectronics	0.0448773
"Brian Anderson"	0.0445782
"water tank"	0.0443981
housewares	0.0442105
avionics	0.0440322
"razor blade"	0.0439667
"Jamie Moyer"	0.0433883
toothbrush	0.0433099
"hair dryer"	0.0431758
"solar power"	0.0430632
"JOHN FRIESZ"	0.0429503
Alpha	0.0428508
"X-ray machine"	0.0427278
frostbite	0.0425577
ventilator	0.0423628
"John Cornyn"	0.0422562
"Doug Davis"	0.0422211
"Mac Suzuki"	0.0421785
MS-DOS	0.0421126
aperitif	0.0420805
"computer equipment"	0.0418114
"Francisco Cordero"	0.0417495
"Fred Brathwaite"	0.0416484
"phone system"	0.0415474
"household appliance"	0.0414717
stapler	0.0413209
corrosion	0.0412788
Masaoka	0.0412688
motherboards	0.0411507
band-aid	0.0410873
"flour mill"	0.0409698
"Freddy Garcia"	0.0406274
"alarm clock"	0.0402758
Prius	0.0402653
"color television"	0.0401057
))
(Although (desc 1767.94) (sims
"Israeli Knesset"	0.0743044
Swazi	0.0677884
"National Sports Council"	0.0662792
longer	0.0653195
"Israeli Foreign Ministry"	0.0642499
"Indonesian Armed Forces"	0.0580942
"Badminton Association of Indonesia"	0.0580786
"Stock Exchange of Thailand"	0.0573034
"Sensitive Index"	0.0562856
"European Union's"	0.0552576
dredging	0.0523762
Namibian	0.0522336
nine-tenths	0.0504287
"Tourism Authority of Thailand"	0.0500107
"Over two million"	0.049638
Botswanan	0.049059
"Wei Jianxing"	0.0480638
"United Nations Conference on Trade and Development"	0.0474335
"International Labor Organization"	0.0471828
"Chen Hua"	0.0470873
Thirty-six	0.0461537
"More than @.@ million"	0.0460097
"Lu Ping"	0.0458279
immensity	0.045775
"water company"	0.0457391
"about @@@ km"	0.0454249
"Aryeh Deri"	0.045327
"Trade and Industry"	0.0445264
"more than @@ million"	0.0440284
Sino-British	0.0433143
"about two percent"	0.0430883
SSE	0.0428878
"secret society"	0.0424787
"current account"	0.042373
"Sri Lankan"	0.0421382
"Hail Mary"	0.0420368
"Lee Hsien Loong"	0.0413026
"more than @@@ million"	0.0412169
"core group"	0.0411872
"About one million"	0.0411441
"Central Bureau of Statistics"	0.0410766
"Almost three-quarters"	0.0410171
"about @.@ million"	0.0410121
"four miles"	0.0409852
Fifteen	0.0408663
"first @@ hours"	0.0406118
"about one percent"	0.0404847
meanderings	0.0404789
"Sher Bahadur Deuba"	0.0403055
Sino-Japanese	0.0402769
paraplegic	0.0401979
"International Badminton Federation"	0.0401466
"Asian Football Confederation"	0.040029
"International Conference"	0.0400264
))
(altimeter (desc 2088.24) (sims
reversers	0.112528
autopilot	0.111043
undercarriage	0.10916
thermometer	0.104151
"electrical system"	0.0990413
"last two digits"	0.0885193
sensor	0.0875145
sonar	0.086584
transponder	0.0858896
odometer	0.0851188
"voting machine"	0.0834632
gyroscope	0.0823607
"flight path"	0.0802716
speedometer	0.0800746
"time clock"	0.076544
scanner	0.0720757
spectrometer	0.0712879
"landing gear"	0.0707318
recorder	0.07003
"black box"	0.0693941
"instrument panel"	0.0675676
detector	0.0667388
compass	0.0667287
"fuel system"	0.066537
defibrillator	0.0661694
motherboards	0.0660052
API	0.0652116
"hydraulic system"	0.0650971
"ventilation system"	0.0643922
"traffic light"	0.0630292
defibrillators	0.0617506
analyzer	0.0594301
transmitter	0.0593691
"global positioning system"	0.0585023
walkie-talkie	0.0580617
thruster	0.0579812
imaging	0.0573258
antenna	0.0573205
"electrical device"	0.0570231
"warning light"	0.0566694
infrared	0.0564868
rudder	0.0563051
spoiler	0.0543411
"heating system"	0.0542575
readout	0.0537834
ultrasound	0.0526825
knowhow	0.0525224
"can opener"	0.0523972
"oxygen mask"	0.0520042
fuselage	0.0518273
antennae	0.0518204
"fax machine"	0.0517742
"surveillance system"	0.0507856
"brake system"	0.0503632
beacon	0.0501471
afterburner	0.0500804
GPS	0.0497188
timer	0.0496233
"two digits"	0.049372
electrocardiogram	0.0493022
"control system"	0.0490501
reflector	0.0487013
"gasoline pump"	0.0486643
"bar code"	0.0485501
"radio transmitter"	0.0484911
gyro	0.0478829
"electric chair"	0.047844
"garden hose"	0.0477141
wiring	0.0476719
electrode	0.0468082
"sense of direction"	0.0465895
"fire extinguisher"	0.0465001
ADSL	0.0464756
"point system"	0.0462741
photocopier	0.0459602
avionics	0.0456675
"Hang Seng Index"	0.0455434
"air pressure"	0.045479
"laser beam"	0.0453348
microchip	0.0451833
"wireless telephone"	0.0451192
thermostat	0.0450852
bloodhound	0.0447994
Maruyama	0.0446601
windscreen	0.0445659
forklift	0.0444026
finder	0.0443324
"brain wave"	0.044248
pacemaker	0.0438149
LCD	0.043711
"automated teller machine"	0.0435813
Solis	0.0433846
"early warning system"	0.0433325
"evil spirit"	0.0432389
"weather station"	0.0429112
"one line"	0.0428753
endoscope	0.0428305
"registration number"	0.0425183
"computer graphics"	0.0424681
Desormeaux	0.0424451
Spyglass	0.0421988
"cellular telephone"	0.042154
"cooling system"	0.0420604
optic	0.0420421
"cargo container"	0.0419461
inhaler	0.041921
"horizontal stabilizer"	0.0416845
"phone system"	0.0412116
"propulsion system"	0.0411132
"septic tank"	0.0409706
respirator	0.0408955
PPI	0.0407874
"tape measure"	0.0405711
propeller	0.0403335
"alarm system"	0.0402338
returners	0.0401059
"ice pack"	0.0400221
))
(altitude (desc 38309.5) (sims
elevation	0.143815
height	0.122827
speed	0.109337
distance	0.100531
temperature	0.09441
velocity	0.0898119
depth	0.0807628
humidity	0.0800392
orbit	0.0787246
"air pressure"	0.0772791
feet	0.0713719
visibility	0.0703953
mph	0.0684117
latitude	0.066568
angle	0.0652843
frequency	0.065154
density	0.0642338
"sea level"	0.0638316
length	0.0623729
location	0.0614231
radius	0.0599439
climate	0.0590855
size	0.0579588
precipitation	0.0577938
wind	0.057077
"speed limit"	0.0561766
rainfall	0.0557973
peak	0.0557595
moisture	0.0541383
diameter	0.0537655
"body temperature"	0.0533316
"miles per hour"	0.0531771
weather	0.0530229
voltage	0.0520075
longitude	0.0515978
width	0.0510631
"blood pressure"	0.0510136
terrain	0.049431
weight	0.0486221
capacity	0.0484722
"flight path"	0.0480851
mile	0.0476581
heights	0.0470531
rpm	0.0467745
direction	0.0465849
"heart rate"	0.0465678
gust	0.0465278
duration	0.0460897
"high temperature"	0.0458965
intensity	0.0450004
"growth rate"	0.0446601
plateau	0.0441556
"fertility rate"	0.0439617
aircraft	0.0439473
"water level"	0.0438784
Sky	0.0434643
thickness	0.0432953
runway	0.0430046
kph	0.0429715
mountain	0.0429375
mileage	0.0427905
pace	0.0427816
Snowfall	0.0426096
"kilometers per hour"	0.0425509
interval	0.042519
"time zone"	0.0423645
strength	0.0423079
"cost of living"	0.0421703
IQ	0.0418882
dosage	0.0418579
concentration	0.0416852
Celsius	0.0416777
cockpit	0.0416442
landing	0.0415821
"record level"	0.0415004
destination	0.0413913
"low temperature"	0.0413867
tempo	0.0412609
"interest rate"	0.0406994
"blood sugar"	0.0404003
"weather conditions"	0.0401734
))
(Altman (desc 3325.33) (sims
Scorsese	0.136412
Finkel	0.122485
"Robert Altman"	0.115395
Coppola	0.108961
Spielberg	0.10328
Sayles	0.100491
"Frank Capra"	0.0971136
Hartley	0.0964074
Schrader	0.0960919
Coen	0.0941299
"Neil LaBute"	0.0878375
Zapruder	0.087695
MALICK	0.0872328
"David Lynch"	0.085543
McGowan	0.084714
Fellini	0.0844705
Greenwald	0.0844512
Soderbergh	0.0838916
"Spike Lee"	0.0837063
"Oliver Stone"	0.0833997
Truffaut	0.0830693
"Martin Scorsese"	0.0795094
lacy	0.0792561
Gibbons	0.0783642
"John Waters"	0.0778709
Kroll	0.0760429
Kubrick	0.074983
Perdue	0.0748621
Kurosawa	0.0746949
Rosenthal	0.0746679
LaBute	0.073096
"Stanley Kubrick"	0.0730251
Goossen	0.0719746
Barlow	0.0718172
Brody	0.0703157
"John Ford"	0.069991
Lowry	0.069235
Hybl	0.0688038
"David Mamet"	0.0686538
Hitchcock	0.0676623
"De Niro"	0.0675352
Shapiro	0.0674616
Sandler	0.0665672
Boorman	0.0665584
Winkler	0.066317
Reiner	0.0662854
"Van Sant"	0.0661
Levinson	0.0659002
Frankenheimer	0.0658487
Leigh	0.0658414
Grossman	0.0655874
Horne	0.0654645
MAMET	0.0652877
"Ingmar Bergman"	0.0651603
Rosenberg	0.0647973
Almodovar	0.0647736
Gullikson	0.0646884
Setzer	0.0645381
"Wes Craven"	0.0639961
Boyle	0.0638493
Rubenstein	0.0637957
Pollack	0.063372
Weinberg	0.0632256
Miyazaki	0.0626745
Postel	0.0623601
Yates	0.0622694
Weisman	0.0622371
Baird	0.0622251
Nickerson	0.0619828
Zwick	0.0618815
Wiseman	0.0616599
"Jackie Chan"	0.0613634
Lucas	0.0613372
Farley	0.0611927
Clancy	0.060531
Newman	0.060514
"Woody Allen"	0.0605086
Mustafa	0.0597001
Speer	0.0596708
Iglesias	0.0595183
"Mel Brooks"	0.0593179
Sobel	0.0592525
McKinnon	0.0592048
Erwin	0.0591904
Weil	0.0586895
Mann	0.0586622
Aurelio	0.0583384
Schwarzenegger	0.0582375
"Pedro Almodovar"	0.0582131
"Indiana Jones"	0.0581713
Cahill	0.0579597
"Ron Howard"	0.0577059
Healy	0.0576836
Koskinen	0.0576336
Chan	0.0574049
Quinn	0.0571812
Ness	0.057057
Hanley	0.0570528
Haynes	0.0570298
Brandt	0.0569915
Hahn	0.056912
Berman	0.0568966
Cao	0.0563737
Hobson	0.0563565
McNamara	0.0556896
Durant	0.0556123
Arum	0.0552742
Figgis	0.0552669
Farnsworth	0.0552657
Cameron	0.0552179
"Quentin Tarantino"	0.0550438
Jaffe	0.0549917
Jovanovic	0.0549859
Solondz	0.0549745
"Steven Spielberg"	0.054672
O'Connell	0.0544511
Raitt	0.0543092
Bowe	0.0542344
"Clint Eastwood"	0.0542088
Brooks	0.0541761
weaver	0.0540545
Rollins	0.0538258
Showtime	0.0537641
Zuckerman	0.053731
Roberts	0.0535712
Hurley	0.0534512
Kaplan	0.053289
Segal	0.0532854
Huffington	0.0532604
craven	0.0532536
Duffy	0.0531123
Eastwood	0.0530517
Loeb	0.0529655
Pfeiffer	0.0529149
Lerner	0.0527931
Kahn	0.0527663
Blackwell	0.0526765
"Lethal Weapon"	0.0524669
Schmid	0.0524162
Tuttle	0.0523303
Trudeau	0.0522898
Ferrer	0.0521571
Abdul-Jabbar	0.0520085
Menino	0.0519043
Wilder	0.051874
Bergman	0.0518526
"Tom Johnson"	0.0517325
Bassett	0.051681
COYNE	0.0516756
Welles	0.051675
"Buster Keaton"	0.0514585
"Barry Levinson"	0.0513965
Chapman	0.051379
Flanagan	0.0513733
Farrellys	0.0510821
D'Alessandro	0.0510538
Talebi	0.0510211
Mckee	0.0510084
Ibarra	0.0508966
Morse	0.0508479
Kramer	0.0506808
singleton	0.0506692
"Walt Disney"	0.0506337
"John Wayne"	0.0505064
Goldstein	0.05037
Copeland	0.0500218
Henley	0.0499728
Machado	0.049914
TALBOT	0.0498844
Clooney	0.0497232
McCaw	0.0496279
POLK	0.0495493
Ellis	0.0495335
Atwood	0.0494771
Diller	0.0493066
"Steven Soderbergh"	0.0491953
"Mike Nichols"	0.0490558
Schulz	0.0490141
Mae	0.0489819
Rove	0.0488719
beamer	0.0488672
Luo	0.0488141
Fleischer	0.048799
Connerly	0.0487781
Costner	0.0487466
Biden	0.0487303
Vogel	0.0487003
McDonough	0.0486342
Epstein	0.0486308
Strauss-Kahn	0.0485715
Zou	0.0485594
Bergeron	0.0485196
Wasserstein	0.0484569
nance	0.0483554
"Paul Schrader"	0.0482746
Farber	0.0481761
Kaye	0.0480694
Esposito	0.0480333
Hanna	0.0479944
Moser	0.0479414
))
(Alto (desc 3372.78) (sims
baritone	0.0963224
Macoris	0.0932517
vibrato	0.0883035
Laguna	0.0826331
tenor	0.0696227
Sax	0.0623262
"Estados Unidos"	0.0621088
"Placido Domingo"	0.0572778
Lullaby	0.0549224
"opera star"	0.0540399
soprano	0.0527354
Lobo	0.0506045
Spyglass	0.0501229
Dias	0.0496258
falsetto	0.0487742
vocals	0.0475913
por	0.0459039
"stage director"	0.0447479
timbre	0.0441052
Mercado	0.0435462
"Abidine Ben Ali"	0.0432376
rasp	0.0426443
LOS	0.0425572
Chianti	0.0418083
Hage	0.0415586
recitative	0.0415178
"New Beetle"	0.0413759
mezzo-soprano	0.0411543
"Little Dog"	0.0408198
"storm cloud"	0.0406242
tress	0.0406018
Estudiantes	0.0405169
))
(altruism (desc 2986.75) (sims
bonhomie	0.0819506
patriotism	0.0814758
selflessness	0.0783697
trickery	0.0760086
decency	0.0751127
hubris	0.0745401
greed	0.0731159
statesmanship	0.0725282
self-sacrifice	0.0724738
cowardice	0.0705708
stupidity	0.0687609
treachery	0.0682084
chutzpah	0.0660282
compassion	0.0658628
lunacy	0.0654624
intuition	0.0650237
self-interest	0.0647298
uniqueness	0.0646639
self-preservation	0.0634751
teamwork	0.0633748
kindness	0.0629477
whimsy	0.0628535
arrogance	0.0619092
escapism	0.0616035
unselfishness	0.0615787
"civic duty"	0.0610964
"civic pride"	0.061084
spirituality	0.0602089
happenstance	0.06002
sportsmanship	0.0589241
derring-do	0.0582581
serendipity	0.0581458
thoughtfulness	0.0580676
lust	0.0579931
bravery	0.0579036
demagoguery	0.0572682
pragmatism	0.0570543
boosterism	0.0569706
barbarity	0.0568426
"inferiority complex"	0.0564713
frugality	0.0563991
atheism	0.0562703
expediency	0.0560321
vanity	0.0557863
voyeurism	0.0552505
generosity	0.0552197
benevolence	0.0549428
shtick	0.0541544
valor	0.0540769
self-worth	0.0538796
selfishness	0.0538364
silliness	0.0534533
carelessness	0.053134
anticlimax	0.0528335
idealism	0.0520083
exhilaration	0.0519316
overkill	0.0519158
drivel	0.0518721
expressiveness	0.0517701
populism	0.0517416
materialism	0.0515614
camaraderie	0.0515132
gallantry	0.0511888
modesty	0.0511865
realism	0.0507591
hypocrisy	0.0507282
nostalgia	0.0503918
desperation	0.0503222
"hard work"	0.0502502
honesty	0.0501951
Creativity	0.0499967
laziness	0.0498891
rationality	0.049501
sophistication	0.0494652
righteousness	0.0493996
frankness	0.0493231
connoisseurship	0.0491901
decorum	0.0491862
elation	0.0489914
self-awareness	0.0489138
"sour grapes"	0.0485446
"fictional character"	0.0485374
"essential oil"	0.0485346
fearlessness	0.0484483
euphoria	0.048433
enchantment	0.0484269
heroism	0.048391
"common sense"	0.0482743
incompetence	0.0479003
guesswork	0.0478426
penance	0.0478394
professionalism	0.0478052
"waiting game"	0.0475455
seduction	0.0472867
nationalism	0.0472792
sentimentality	0.0472617
togetherness	0.0470963
brotherhood	0.0469211
commercialism	0.0469045
"sex appeal"	0.046893
gook	0.0467018
realpolitik	0.0466951
self-indulgence	0.046694
conceit	0.0466939
theatricality	0.0466258
revulsion	0.0466148
activism	0.0465784
originality	0.0465157
morality	0.0463982
elegance	0.0461317
mischief	0.0461304
frivolity	0.0459554
anti-Semitism	0.0459383
rapture	0.0458854
"deja vu"	0.045753
intellect	0.0457385
egotism	0.0456522
humility	0.0453953
sarcasm	0.0453672
gamesmanship	0.0453354
exuberance	0.0452441
purity	0.0451907
understatement	0.045156
boldness	0.045146
ingenuity	0.0450902
individualism	0.0450469
student-athlete	0.0449621
supposition	0.0449512
competence	0.0448723
paranoia	0.0448163
narcissism	0.0447041
wickedness	0.0446546
jealousy	0.0444773
naivete	0.0444111
glamour	0.0443693
folly	0.0443387
theatrics	0.0442505
Wanderlust	0.0442486
outrageousness	0.0442483
Romanticism	0.0441884
contrition	0.0441739
"bad luck"	0.044142
"detective work"	0.0441248
horseplay	0.0440436
candor	0.0440241
athleticism	0.0438797
"wishful thinking"	0.0438406
Mujahideen	0.0436843
immaturity	0.0436696
flamboyance	0.0436681
domesticity	0.0436229
tenderness	0.0435298
burlesque	0.0435157
intimacy	0.0434133
humanitarianism	0.0433617
sanity	0.0433371
resilience	0.0432976
friendliness	0.043272
trepidation	0.043166
diligence	0.0428578
self-importance	0.042792
weariness	0.0427142
conservatism	0.0425756
tact	0.0425044
"service agency"	0.0424881
tranquility	0.0424451
frailty	0.0424011
banality	0.0423286
Fascism	0.0420697
quickness	0.0419908
pandemonium	0.0419669
kinship	0.0416804
feminism	0.0416058
baby-boomers	0.0416015
rectitude	0.0415885
subterfuge	0.0415719
bipartisanship	0.04127
hilarity	0.0412254
"particle physics"	0.0411967
willfulness	0.0410884
dishonesty	0.0410604
Indiscipline	0.0410566
levity	0.0409031
subconscious	0.0408691
"raw talent"	0.0406759
Goliath	0.0406319
reportage	0.0406266
femininity	0.0405664
"space walk"	0.0405405
toughness	0.0405222
bargain-hunting	0.0405034
charisma	0.0404721
"good humor"	0.0403569
politeness	0.0402688
Psychosis	0.04025
self-promotion	0.0402145
conjecture	0.0401843
hyperbole	0.0401412
heresy	0.0401078
sincerity	0.0400111
))
(alum (desc 7194.54) (sims
alumnus	0.149261
grad	0.129899
Alumni	0.0975655
comedian	0.074016
"football player"	0.0634121
Ohioan	0.0600325
"faculty member"	0.0599622
alumna	0.0599125
"football coach"	0.0598742
Bostonian	0.0592651
standout	0.0588308
sophomore	0.0565773
mathematician	0.0558471
Ex	0.0550423
"role player"	0.0548321
"graduate student"	0.0539779
"church member"	0.0538018
"North Carolinian"	0.053594
freshman	0.0534723
seminarian	0.05341
"grad student"	0.0517406
"law student"	0.0513873
Olympian	0.0509597
Bostonians	0.0506983
"Southern Democrats"	0.0503477
"basketball coach"	0.0494377
panelist	0.0489915
jurist	0.0488748
Virginian	0.0487376
undergraduate	0.0487194
classmate	0.0482621
Atlantans	0.0481272
whistle-blowers	0.0480416
Atlantan	0.04792
Futurist	0.0478986
"computer expert"	0.0478127
Kansan	0.0477573
celebs	0.0476622
has-been	0.047574
ethicist	0.0475423
Esiason	0.0468695
trustee	0.0464794
achiever	0.0462978
"New Englander"	0.0459817
Trailblazer	0.0459426
archeologist	0.0457061
All-Americans	0.0457039
student-athletes	0.0456184
"club member"	0.0455516
"major leaguer"	0.0455495
churchgoer	0.0450704
major-leaguers	0.0447888
golfer	0.0444329
sadist	0.0443507
faculty	0.0443291
oligarch	0.0440068
devotee	0.0438196
"young actress"	0.0438073
parishioner	0.0437982
litigant	0.0437406
cheerleader	0.0436358
multimillionaires	0.0435789
warhorse	0.0435666
luminary	0.0433619
fanatic	0.0431952
"big leaguer"	0.0431598
pallbearer	0.0430794
"football team"	0.0429027
"basketball player"	0.04283
janitor	0.0428019
"good person"	0.0427955
ballplayer	0.0426454
"sports fan"	0.0425942
reservist	0.0424206
overachiever	0.0423533
"important person"	0.0422986
"interior designer"	0.042263
"hockey player"	0.0419788
"baseball player"	0.0419674
"law school"	0.0419101
"Young Turk"	0.0418836
"social scientist"	0.041842
sociologist	0.0415292
"computer scientist"	0.0415077
old-timer	0.0414799
"two pitchers"	0.0414599
"film star"	0.0411931
"Chris Mihm"	0.0411083
"civic leader"	0.041063
bagpiper	0.0409203
freshmen	0.0408969
"Texas Democrats"	0.0408715
inductees	0.0408646
novice	0.0407677
"public speaker"	0.0407247
"ballet dancer"	0.0407226
"union member"	0.0406278
"venture capitalist"	0.0405477
part-timer	0.0404223
Panamanian	0.0403387
"jazz musician"	0.0401503
sportscaster	0.0400018
))
(aluminium (desc 6575.63) (sims
marks/@@@kg	0.231618
Copper	0.217291
aluminum	0.206665
bullion	0.166913
Tin	0.163851
"iron ore"	0.150799
cobalt	0.13216
petrochemical	0.129522
Zinc	0.126924
brass	0.124216
steel	0.119303
"synthetic fiber"	0.113648
tungsten	0.110159
urea	0.110099
magnesium	0.102585
"stainless steel"	0.101205
"pig iron"	0.100428
cement	0.100014
ethylene	0.0983779
alloy	0.0975776
"fish meal"	0.095808
chromium	0.0936639
LNG	0.0936064
metallurgy	0.0884107
lumber	0.088382
Gypsum	0.0871217
Coal	0.0854628
petroleum	0.0847965
"palm oil"	0.0846969
metal	0.0833035
POTASH	0.0832456
titanium	0.0822058
manganese	0.0820316
phosphate	0.0817878
polyethylene	0.0815862
pulp	0.0814977
"building material"	0.0811463
foodstuff	0.0810668
jute	0.0807984
iron	0.0805448
ceramic	0.0803606
fertilizer	0.0802084
textile	0.0801093
ingot	0.0791436
"household appliance"	0.0787884
Nickel	0.0776228
ore	0.0772075
"spare part"	0.077023
rubber	0.0769905
"lubricating oil"	0.0765932
"plate glass"	0.0755683
"caustic soda"	0.0754411
plastic	0.0751874
"polyvinyl chloride"	0.0750212
"machine tool"	0.0749369
"food grain"	0.0748248
"cashew nut"	0.0746623
methanol	0.0730266
"integrated circuit"	0.0727711
"steel plate"	0.0725834
rapeseed	0.0725451
timber	0.0723695
mineral	0.0705426
newsprint	0.0703876
fibre	0.0695659
"consumer goods"	0.0695102
pharmaceutical	0.0689066
"mineral water"	0.0688184
polypropylene	0.0683858
"home appliance"	0.0683341
machinery	0.0679462
billet	0.0677362
platinum	0.0675707
cadmium	0.0674884
"crude oil"	0.0671576
knitwear	0.066828
"frozen food"	0.0668012
oilseed	0.0667089
"rolling stock"	0.0663406
handicraft	0.0660823
semiconductor	0.066063
chrome	0.0660371
cotton	0.0660034
"soybean oil"	0.0659266
"rare earth"	0.0658071
"raw material"	0.0655614
hydrocarbon	0.0652846
garment	0.0642393
"liquefied petroleum gas"	0.0641872
jewellery	0.0635073
gemstone	0.063397
"motor vehicle"	0.0628781
electronics	0.0626523
shipbuilding	0.0625133
wool	0.062341
"dairy product"	0.0620364
"vegetable oil"	0.0619653
fiber	0.0617699
non-oil	0.061664
grain	0.0615881
"electric power"	0.0612132
bitumen	0.061136
appliance	0.0604904
"natural gas"	0.0604675
"precious metal"	0.0603576
"cane sugar"	0.060109
porcelain	0.0597176
aquatics	0.0591074
"food product"	0.0584252
footwear	0.0582984
wheat	0.0582971
beverage	0.0582007
cashmere	0.0578585
sisal	0.0578058
poultry	0.0576898
biomass	0.057638
opium	0.0575007
cocoa	0.0573101
auto	0.0572708
air-conditioner	0.0564636
"chemical industry"	0.0563911
biogas	0.0562075
"diesel oil"	0.0561759
ammonia	0.0559845
"diesel engine"	0.0555789
automobile	0.0553488
potassium	0.0551401
Plywood	0.0550496
PVC	0.0549644
maize	0.0545991
"optical fiber"	0.0545603
ethanol	0.0544981
yarn	0.0537672
by-product	0.0537561
Sulphur	0.0536468
"fresh fish"	0.0532995
ephedrine	0.0531927
VCD	0.0527651
"cooking oil"	0.0525049
Boron	0.0523711
leather	0.0521435
hydropower	0.0518137
polyester	0.051323
cellulose	0.0513109
sugarcane	0.0511259
"electronic equipment"	0.0509913
processing	0.0509191
"fuel oil"	0.0508344
"passenger car"	0.0507598
pistachio	0.0505582
charcoal	0.0504478
rattan	0.0504159
Alcan	0.0498861
lysine	0.0497673
"sugar beet"	0.049725
"sulfuric acid"	0.0496662
bauxite	0.0496227
oxide	0.0495763
LPG	0.0494388
"soya bean"	0.0494297
styrofoam	0.0487724
apparel	0.0482453
uranium	0.0480988
dairy	0.0480852
"citrus fruit"	0.0477014
cosmetic	0.047142
silicon	0.0470706
"consumer electronics"	0.0469698
"computer hardware"	0.0468065
palladium	0.0467688
smallholder	0.0467282
"five million tons"	0.0466627
glassware	0.0465682
seafood	0.0464436
fodder	0.0464368
silk	0.0463021
starch	0.046195
"memory chip"	0.0461542
lubricant	0.0459594
tritium	0.0459208
SDH	0.0458429
resin	0.0458232
confectionery	0.045723
"four million tons"	0.0456892
"coffee bean"	0.0456531
cereal	0.0453691
forage	0.0452371
"soda pop"	0.0451671
Pottery	0.0451482
KIMCHI	0.0450279
"aircraft part"	0.0448135
"two million tons"	0.0447804
"black tea"	0.0447211
four-inch	0.044499
transformer	0.0443642
"electrical power"	0.0440737
"solar energy"	0.0440607
"sea food"	0.0439837
"sugar cane"	0.0437801
"color television"	0.0436833
))
(aluminum (desc 26369.4) (sims
Copper	0.249196
steel	0.237855
"stainless steel"	0.216007
aluminium	0.206665
chrome	0.196702
metal	0.193811
Zinc	0.192998
plastic	0.189519
titanium	0.1748
Tin	0.158369
fiberglass	0.156218
magnesium	0.155587
cement	0.154502
manganese	0.152212
alloy	0.150759
iron	0.13766
tungsten	0.134672
"iron ore"	0.134098
Plywood	0.133082
Nickel	0.130941
vinyl	0.129771
cobalt	0.128842
rubber	0.127678
Coal	0.122601
lumber	0.122525
cardboard	0.114978
petrochemical	0.114678
timber	0.113767
"building material"	0.112448
glass	0.112386
fiber	0.11184
cotton	0.111563
leather	0.111552
ceramic	0.110834
brass	0.110823
fertilizer	0.110677
"cast iron"	0.108627
plaster	0.107465
Plexiglas	0.107235
"palm oil"	0.107028
petroleum	0.106567
textile	0.103812
ore	0.103405
"synthetic fiber"	0.103165
resin	0.102613
newsprint	0.102433
wool	0.10239
marble	0.100744
"crude oil"	0.0990112
acrylic	0.0972155
mahogany	0.0971402
bauxite	0.0965005
silicon	0.0963356
pulp	0.0961463
chromium	0.095842
"wrought iron"	0.095759
nylon	0.0951652
limestone	0.0934023
Concrete	0.0927787
fabric	0.0924915
uranium	0.0919753
silk	0.0911161
"fish meal"	0.0908116
mineral	0.0898137
polyethylene	0.0891593
chemical	0.0891299
ethylene	0.0884891
"sheet metal"	0.0882341
polypropylene	0.0881926
phosphate	0.0879516
granite	0.0879446
"rare earth"	0.0878434
"raw material"	0.0873093
"natural gas"	0.087086
wood	0.0870609
PVC	0.0866579
sugar	0.0863691
POTASH	0.0858027
pewter	0.0857114
cellulose	0.0855668
foodstuff	0.0852786
rattan	0.0851438
pharmaceutical	0.0843664
oil	0.0843356
"steel plate"	0.0834713
"pig iron"	0.0831897
grain	0.0827441
ingot	0.0822123
"cashew nut"	0.0820407
platinum	0.082022
mesh	0.0818864
tile	0.0818758
cadmium	0.0818006
porcelain	0.0815316
"machine tool"	0.0814238
"home appliance"	0.0813065
jute	0.081185
machinery	0.0808115
garment	0.0797255
"plate glass"	0.0796889
gold	0.0796316
metallurgy	0.0795349
gas	0.0793571
"household appliance"	0.0793082
urea	0.0789869
"aluminum foil"	0.0787888
material	0.0786799
carbon	0.0772714
wire	0.0770103
polyurethane	0.0765811
wallboard	0.0764627
styrofoam	0.076365
clay	0.0763382
sheeting	0.0758798
enamel	0.0757514
semiconductor	0.0755025
yarn	0.0754611
paint	0.0752883
paper	0.0752856
asbestos	0.0751563
wax	0.075147
foam	0.0751001
Gypsum	0.074627
kevlar	0.0746049
cashmere	0.0745082
wheat	0.0742896
brick	0.0738018
automobile	0.0736372
appliance	0.0736148
"specialty chemical"	0.0733909
electronics	0.0732635
Pottery	0.0731227
polyester	0.0724664
"fuel oil"	0.0723402
tobacco	0.0721401
"electric power"	0.0720879
foil	0.0717819
diamond	0.0712952
potassium	0.0712786
shipbuilding	0.0711026
"chemical industry"	0.0710686
cocoa	0.0708233
synthetic	0.0703662
phosphorus	0.0703518
silica	0.0702102
ivory	0.0700205
footwear	0.0696742
lacquer	0.0694098
"consumer goods"	0.0693282
"vegetable oil"	0.0689677
furniture	0.068846
fur	0.0686709
insulation	0.0685192
"food product"	0.0679303
"liquefied petroleum gas"	0.0678186
lubricant	0.0678068
soybean	0.0676741
Mylar	0.0675936
roofing	0.0670567
auto	0.0667802
pesticide	0.0664216
polymer	0.066403
"precious metal"	0.0662429
stone	0.0661526
goods	0.0660254
fuel	0.0655597
silver	0.0651376
drywall	0.0647677
pipe	0.0644853
fibre	0.0640307
shingle	0.06397
"terra cotta"	0.0638712
sulfur	0.0636831
palladium	0.0635043
tubing	0.0632986
meat	0.0630847
CPO	0.0630297
"food grain"	0.0628742
"integrated circuit"	0.0628443
"diesel engine"	0.0625763
canvas	0.0624422
flooring	0.0622385
asphalt	0.0622009
graphite	0.062139
"electronic equipment"	0.062097
LNG	0.0619682
parchment	0.0617989
beverage	0.0617154
tea	0.0611295
latex	0.0610865
jewelry	0.0610481
hydrocarbon	0.0610117
LPG	0.0609651
methanol	0.0609125
rod	0.060883
sheet	0.0607902
bamboo	0.0607263
handicraft	0.0606687
"memory chip"	0.0606617
siding	0.0604434
))
("aluminum foil" (desc 4758.72) (sims
"plastic wrap"	0.256388
"wax paper"	0.222418
cheesecloth	0.21672
foil	0.212004
parchment	0.14002
"paper towel"	0.136921
cardboard	0.109234
phyllo	0.0930063
cellophane	0.0914416
"tissue paper"	0.0896734
gauze	0.0842232
aluminum	0.0787888
lid	0.0761454
Tin	0.0741268
foam	0.0731239
towel	0.0716164
Mylar	0.0712317
mulch	0.0709827
Plywood	0.0707071
burlap	0.0685138
mesh	0.0657448
sheeting	0.0653671
tongs	0.0651492
drywall	0.065102
Teflon	0.0645801
flooring	0.0641882
tarp	0.0641856
"sheet metal"	0.0629602
sandpaper	0.0619844
tarpaulin	0.0615002
Plexiglas	0.0606017
spatula	0.0603266
pastry	0.0558573
polypropylene	0.0550859
bandage	0.0546363
gravel	0.054253
skillet	0.0541901
vinyl	0.054101
"gas turbine"	0.0537872
insulation	0.0516827
saucepan	0.0516096
"oxygen mask"	0.05135
"beer can"	0.0510238
pecan	0.0510132
coating	0.0503388
"vegetable oil"	0.0499096
"gold leaf"	0.0498917
carton	0.0490109
cellulose	0.0486907
"wrapping paper"	0.0473866
GRIDDLE	0.0471852
shawl	0.0462679
roofing	0.0462138
"olive oil"	0.0457849
wallpaper	0.045777
brisket	0.0454707
wheelbarrow	0.0453314
shortening	0.0452595
"toilet paper"	0.045235
"stainless steel"	0.0449559
macaroni	0.0446106
dough	0.0442607
Gypsum	0.044196
shingle	0.0440168
enamel	0.0440142
meringue	0.0439772
ramekins	0.0437911
husk	0.0437594
"prayer shawl"	0.0437261
netting	0.0431495
styrofoam	0.0428367
khat	0.0423351
"extension cord"	0.0420187
lacquer	0.0419626
"paper bag"	0.0419
asphalt	0.0417971
"sheet music"	0.0417264
crust	0.0415588
sod	0.0414268
varnish	0.0412912
Kleenex	0.0412434
wrapper	0.0409863
wrapping	0.0408915
petal	0.0407909
silverware	0.040705
"electric mixer"	0.0405969
Milkweed	0.0402646
"frying pan"	0.0401772
"diesel engine"	0.040029
))
(alumna (desc 1965.37) (sims
alumnae	0.10138
alumnus	0.0730065
alum	0.0599125
grad	0.0583474
beautician	0.0575064
"New Democrat"	0.0551739
"piece of work"	0.0544332
Trailblazer	0.052359
matron	0.0505801
"supper club"	0.0499639
"North Carolinian"	0.0492084
tribesman	0.0463826
"break of serve"	0.0456853
Ohioan	0.0449305
experimenter	0.0444372
astrophysicist	0.0440509
"piece of music"	0.0433276
"important person"	0.0428326
iteration	0.0421836
Litigator	0.0421691
jurist	0.0415363
swashbuckler	0.0411838
"house guest"	0.0411564
pro-life	0.0410074
"young actress"	0.0409601
"art historian"	0.0408889
Kook	0.0401482
"Hail Mary"	0.0400597
))
(alumnae (desc 993.241) (sims
alumna	0.10138
major-leaguers	0.0542785
Wesson	0.0530296
Marichal	0.0518075
Englishwoman	0.0502676
experimenter	0.0499737
adoptees	0.0486619
"landscape architect"	0.0479248
Frenchmen	0.0477874
"Sydney Morning Herald"	0.0463253
PBA	0.0450753
Realtor	0.0442777
"Baby Bells"	0.0439492
"New Democrats"	0.0432407
Jimy	0.043208
varietals	0.0428293
plutocrat	0.0427065
rower	0.0421908
Catalan	0.0420061
"Weekly Standard"	0.0418369
Haas	0.0417435
Amelia	0.0414729
upperclassmen	0.0409756
superlative	0.0401607
"Cincinnati Enquirer"	0.0401036
))
(Alumni (desc 20287.8) (sims
"faculty member"	0.138756
faculty	0.125943
graduate	0.124438
alumnus	0.118156
grad	0.103893
student	0.0989094
alum	0.0975655
volunteer	0.0913064
"graduate student"	0.0908699
"church member"	0.090125
patron	0.0857882
trustee	0.0848785
donor	0.084421
"business leader"	0.0841876
postgraduate	0.0840008
administrator	0.0834507
"union member"	0.0831199
"business executive"	0.08284
scholar	0.0818771
dignitary	0.0818279
"elected official"	0.0813598
classmate	0.0812622
"staff member"	0.0811519
educator	0.0808503
parent	0.0806518
well-wisher	0.0797639
fan	0.0791101
dropout	0.0784261
Atlantans	0.0783488
employee	0.0777931
lobbyist	0.0770281
"college student"	0.0770111
"family member"	0.0769309
"university student"	0.0765342
activist	0.0761246
devotee	0.0761006
staffer	0.0760862
businessmen	0.0760263
resident	0.0759209
athlete	0.0757221
academic	0.0754049
listener	0.0752221
contributor	0.0752058
undergraduate	0.0749966
professional	0.0737564
teacher	0.0735008
clergy	0.072441
attendees	0.0722598
businesspeople	0.0722179
supporter	0.0721071
veteran	0.0720387
constituent	0.0719305
relative	0.0717404
Iowan	0.0712129
scientist	0.0708989
collector	0.0704316
citizen	0.0704136
parishioner	0.0703842
physician	0.0702455
Beijingers	0.0702284
alumnae	0.0697123
retiree	0.0693274
"senior citizen"	0.0692344
lawmaker	0.0688364
follower	0.068788
reservist	0.0687138
professor	0.0685875
legislator	0.0685859
enlistee	0.0682359
musician	0.0680321
enthusiast	0.0679974
"religious leader"	0.0678955
Reader	0.0677768
Cuban-Americans	0.0676033
executive	0.067492
folk	0.0673858
cadet	0.0670661
delegate	0.0670446
guest	0.0669034
doctor	0.0668361
journalist	0.0667763
entrepreneur	0.0666723
sportswriters	0.0664457
"world leader"	0.0663302
"civic leader"	0.0661352
returnees	0.0654167
mourner	0.0652791
participant	0.0650748
"labor union"	0.0649446
researcher	0.0647873
faithful	0.0644203
"job seeker"	0.0641678
VIP	0.0641422
"civil servant"	0.0640149
dean	0.0639578
customer	0.0638582
banker	0.0634606
backer	0.0633098
congressmen	0.0631991
Texan	0.0631352
senior	0.063063
artist	0.0628252
principal	0.062721
"corporate executive"	0.0626511
PACs	0.0625352
freshmen	0.0624798
statesmen	0.0623502
old-timer	0.0622088
Industrialist	0.0621434
exhibitor	0.0620654
politician	0.0619925
colleague	0.0618553
"board member"	0.0617995
academician	0.0617955
benefactor	0.0617889
"farm worker"	0.0617873
voter	0.0616659
worshipper	0.0616217
Mexican	0.0613967
homeowner	0.0610271
client	0.0610257
marcher	0.0609667
"New York Democrats"	0.0609137
pensioner	0.060778
pupil	0.0604904
scout	0.0604885
applicant	0.0604363
"health professional"	0.0603063
individual	0.0601014
seminarian	0.0600814
practitioner	0.0600142
congregants	0.0598791
celebrity	0.0598724
campus	0.0597846
"interest group"	0.0597539
employer	0.059625
peer	0.0596234
Georgian	0.0595458
"military officer"	0.0592981
counselor	0.0592386
farmer	0.0590651
youngster	0.0587848
parliamentarian	0.0587097
investor	0.0586748
shareholder	0.0586194
"government officials"	0.0585586
Hispanic	0.0585338
intellectual	0.058509
spectator	0.0584995
developer	0.0584738
recipient	0.0584446
Chinese-Americans	0.0582384
schoolchildren	0.0581643
lecturer	0.0580524
villager	0.0580435
cadre	0.0580284
environmentalist	0.057966
grandparent	0.0577465
expert	0.0577046
sympathizer	0.0575813
cheerleader	0.057462
visitor	0.0574544
"union worker"	0.0573951
reveler	0.0573805
onlooker	0.0571469
writer	0.0571058
Chinese	0.0570879
"board of trustees"	0.0569644
landowner	0.0569283
emigrant	0.0568083
"top executive"	0.0566872
worshiper	0.0564871
hopefuls	0.0564516
Haitian	0.0564209
"labor leader"	0.0561763
Mozambican	0.0560677
immigrant	0.0560369
"social organization"	0.0559766
concertgoers	0.055953
missionary	0.0559289
luminary	0.0559124
clergymen	0.0557134
traveler	0.055648
recruiter	0.0555724
"health care provider"	0.0555591
Programmer	0.0554987
"New Yorker"	0.0554974
dissident	0.0553335
booster	0.0552755
deserter	0.0551564
servicemen	0.0551284
billionaires	0.0550971
inmate	0.0550757
achiever	0.0550012
"club member"	0.054945
tenant	0.0549336
user	0.0547635
migrant	0.0547593
corporation	0.0547172
Honduran	0.054621
))
(alumnus (desc 9213.41) (sims
alum	0.149261
grad	0.139177
graduate	0.118303
Alumni	0.118156
"faculty member"	0.0879684
faculty	0.0816735
professor	0.0773327
"graduate student"	0.076824
"Graduate School of Business"	0.0744282
alumna	0.0730065
"football coach"	0.0722277
standout	0.0663253
trustee	0.0657902
"basketball player"	0.0642563
Provost	0.0639686
"school of medicine"	0.0617367
"football player"	0.0609332
"basketball coach"	0.060743
"law school"	0.0597479
lecturer	0.0589655
"computer scientist"	0.0588623
sociologist	0.058447
valedictorian	0.0566778
undergraduate	0.0564713
"political scientist"	0.0562669
freshman	0.055967
dean	0.0555011
"school of law"	0.0554759
benefactor	0.0552352
Bostonian	0.0550031
"baseball coach"	0.0533268
philanthropist	0.0531514
co-captain	0.0528533
neurosurgeon	0.0524498
linguist	0.0517343
"football team"	0.0509676
"endowment fund"	0.0506101
administrator	0.0501987
"board of regents"	0.0500898
physicist	0.0499064
Gastroenterologist	0.0498756
"law student"	0.0497399
Ohioan	0.049489
"basketball team"	0.0492066
"eye doctor"	0.0487305
"vice chancellor"	0.0481522
"grad student"	0.0475738
ethicist	0.0475161
abbot	0.047178
"board of trustees"	0.0469656
cheerleader	0.0469094
cartoonist	0.0468916
ophthalmologist	0.0465903
dropout	0.0464006
newspaperman	0.0462126
rector	0.0461951
historian	0.0460175
Chinese-American	0.0458519
sophomore	0.0457651
Sportsman	0.0455741
Atlantan	0.045407
"school of music"	0.0453064
tackler	0.0452177
"board member"	0.0450328
signee	0.0445846
classmate	0.0443497
"electrical engineer"	0.0443251
librarian	0.0440513
Washingtonian	0.0440192
"medical school"	0.0439449
"hockey player"	0.0436774
"Orthodox Jew"	0.0434234
comedian	0.0434184
mathematician	0.0431968
paraplegic	0.0431337
co-owner	0.043128
"business school"	0.0429359
Chancellor	0.0429117
"investment banker"	0.0428181
urologist	0.0425095
Philanderer	0.0424849
"Illinois Republican"	0.0424032
"art director"	0.0422708
anthropologist	0.0419059
Northerner	0.0418133
philosopher	0.0417992
evangelist	0.041625
cardiologist	0.0415273
booster	0.0414765
astrophysicist	0.0413404
astronomer	0.0413182
golfer	0.0411693
agronomist	0.0410451
archeologist	0.0408409
regent	0.0408262
"baseball player"	0.0407315
scion	0.0402849
pediatrician	0.0402844
"assistant professor"	0.0402174
recluse	0.0401774
oilman	0.0400341
))
(Alvarez (desc 6543.35) (sims
Padilla	0.0951395
Gomez	0.0862572
Erickson	0.0860588
Keenan	0.0848843
Mulholland	0.0844567
Dowd	0.0829593
Snyder	0.0827364
"Leonel Alvarez"	0.0816812
Schourek	0.081583
Arbour	0.0812549
Berenson	0.081135
Hershiser	0.0802675
Rusch	0.0793605
Gooden	0.0782671
Woodard	0.0771484
Landry	0.0768735
Nagy	0.0767275
Olson	0.0766931
Cruz	0.0766807
Gonzalez	0.0765445
Rodriguez	0.0764544
Russo	0.0762335
Hampton	0.0761727
Dixon	0.0757572
Riley	0.0756971
Perez	0.0753663
Donnan	0.0752162
Watson	0.0750999
Chouinard	0.0750615
Nunez	0.0750267
Rhodes	0.0748159
Blyth	0.0745637
Fernandez	0.0745001
Bowers	0.0743966
Washburn	0.0739994
Bottenfield	0.0737686
Monson	0.0736812
Sharma	0.0736647
Gagne	0.0733823
Abram	0.0733089
Candiotti	0.0732205
Ortiz	0.0731344
Nelson	0.0730884
Briscoe	0.0725927
hale	0.0721081
Lawler	0.0720434
Loaiza	0.0720074
Moehler	0.071979
Cline	0.0719415
Helling	0.0718327
Laudrup	0.0718117
Madden	0.0716482
Schmidt	0.0716069
Ramirez	0.0714208
Benitez	0.0713606
Marinovich	0.0711167
Leiter	0.0709801
Torres	0.0706353
Markovic	0.0705849
Carroll	0.0703531
Oliver	0.0702433
Wohlers	0.0701484
Mercker	0.0701094
Greer	0.0699863
Moore	0.0699738
Grunwald	0.0699655
Shulman	0.0698546
Moyer	0.0698486
Knapp	0.0696796
Hernandez	0.0695501
Milutinovic	0.0694856
Neulander	0.0694043
Sims	0.0691916
Zimmer	0.0691892
Daniels	0.0691623
Olivares	0.0691478
Smoltz	0.0691406
Wetteland	0.0688117
Ripken	0.0687027
Friedman	0.068652
Remlinger	0.0685189
Peterson	0.068484
Saberhagen	0.0684262
Cooley	0.0684196
DONOVAN	0.0684135
Akers	0.0684084
Hartman	0.0682961
Boles	0.0681874
Stephenson	0.0679439
Barton	0.0679252
Bowden	0.067858
Gwynn	0.067823
Boone	0.0677861
Martinez	0.067564
Kurtz	0.067515
Canseco	0.0674227
Dickson	0.0672843
Saunders	0.0671935
Colburn	0.0670556
Baerga	0.0670257
Percival	0.0669898
Schmalensee	0.0668668
Solich	0.0668369
Sanders	0.0668321
Farber	0.0666941
Ortega	0.0666803
Poole	0.0666394
Schilling	0.0666119
jacoby	0.0664963
Trachsel	0.0663135
Torre	0.066275
Rivera	0.0662359
Cho	0.0662034
Cremins	0.0661626
Abbott	0.066081
fisher	0.0660543
Grossman	0.0660208
McDaniel	0.0660202
McDonald	0.0659236
Oates	0.0658877
Finley	0.0658241
Blake	0.0657003
Jacobs	0.0656611
Wilkens	0.0656586
Allchin	0.0656012
Cooper	0.0655751
Henning	0.0655231
xu	0.0654561
Etherton	0.0653642
Appier	0.0653573
Mathews	0.0653185
Rosenthal	0.065305
Egan	0.0652816
Yoshii	0.0652541
Hiett	0.0652371
Jarvis	0.0651558
Pena	0.0651526
Sommer	0.065101
Adler	0.0650823
Evans	0.0650296
Watkins	0.0649584
Draskovic	0.0649365
Tevanian	0.0649115
Castillo	0.0647506
Patterson	0.0647376
Robertson	0.0646732
Kehoe	0.0646445
Meissner	0.0646196
Lowry	0.0645891
Parris	0.0645788
Kearin	0.0645435
Eldred	0.0645028
Belcher	0.0644838
Garcia	0.0644581
Gardner	0.0644514
Sakic	0.0643965
Lundberg	0.0642867
Oakley	0.064163
"Rich Brooks"	0.0641582
Ashrawi	0.064133
Checo	0.0641295
Stottlemyre	0.0641073
Manuel	0.064063
Haney	0.0639342
Soto	0.0639138
"Jim Harrick"	0.0638194
Fassero	0.0638067
Elliott	0.0636827
"Dave Campo"	0.06363
Bennett	0.0636252
Williamson	0.0635004
Reyes	0.0634255
Kluivert	0.0634206
Isringhausen	0.0633944
Clark	0.0633624
WARRICK	0.0632823
Cabrera	0.0632756
Sampson	0.0632744
Taylor	0.0631822
Wright	0.063138
Jones	0.0631315
Flores	0.0631081
Eaton	0.0630764
Mussina	0.0630547
Larson	0.0630357
O'Brien	0.0630311
Barker	0.0629327
Verney	0.0629153
Harris	0.0628285
Kissinger	0.0627759
Lopez	0.0626545
Calipari	0.0625638
Baez	0.062496
Betts	0.06246
Imperatori	0.0623879
Elie	0.0623732
Jennings	0.0623339
Wang	0.062305
McDougal	0.0622738
Dierker	0.0622664
))
(Alves (desc 1190.39) (sims
Kiareldeen	0.201428
Hofer	0.168303
Agca	0.163724
Gauthe	0.161907
Stayner	0.144872
Kalejs	0.144265
Pollard	0.142356
Einhorn	0.142332
"Maturino Resendiz"	0.141017
Berenson	0.140628
Lazarenko	0.138961
Kodikian	0.13671
Ershad	0.133543
Ntuyahaga	0.133215
Priebke	0.129183
Pippig	0.127598
McDuff	0.124549
Karr	0.124402
Sebaggala	0.122268
Nakata	0.121034
Resendez-Ramirez	0.121009
LeFave	0.120605
Soyinka	0.119535
McGinn	0.118955
Mikhailov	0.118421
Swango	0.11519
Babitsky	0.114562
Karbaschi	0.114428
Faget	0.113628
Shayler	0.113504
Contreras	0.113356
Gusmao	0.112793
Nikitin	0.112615
Carruth	0.111746
Trantino	0.110804
Xanana	0.110585
Faulder	0.109898
Benedetti	0.108815
Mcbride	0.108791
"El Hage"	0.107693
Montiel	0.107498
Yassin	0.107366
Imperatori	0.106013
Chmura	0.105712
Papon	0.105638
"Rafael Resendez-Ramirez"	0.105177
Jelisic	0.104308
Oviedo	0.103457
Bishara	0.103371
Kazhegeldin	0.102579
Ibrahim	0.102539
Shipman	0.101181
Sakic	0.0996286
Druckenmiller	0.0988036
Kaunda	0.0976121
Soliah	0.0975477
"Maturino Resendez"	0.0964509
Gotti	0.0961999
Arizmendi	0.0950955
Yoo	0.094599
"Michael Skakel"	0.0941549
Noriega	0.0937058
"Russell Peeler"	0.0924122
Blackthorne	0.09156
Sheinbein	0.0913982
Schaeuble	0.0913879
Mineta	0.091363
Lundy	0.0913404
Lyman	0.0908956
Obeid	0.0907365
Bisek	0.0904739
Hensley	0.090404
Hua	0.090379
Vasquez	0.0899671
"Eric Robert Rudolph"	0.0893167
Kimes	0.0892063
Hinckley	0.0890833
Cheng	0.0885892
Mattysse	0.0884257
Dunbar	0.0877093
Kerik	0.0872611
leeson	0.0871088
Trie	0.0865298
Bove	0.0865166
Neulander	0.0861628
Kinkel	0.0859718
peeler	0.0857927
KEVORKIAN	0.0855029
Nathaniel	0.0854271
Moreno	0.0853947
Batouty	0.0850667
Musa	0.0850081
Boesak	0.0846886
Meston	0.0844931
Naumann	0.0843075
Meggett	0.0835658
Rapp	0.083399
Odeh	0.0832553
Whitacre	0.0831011
Jayasinghe	0.0826914
Winkler	0.0824567
Yosef	0.0823708
Yandarbiyev	0.0822757
Sankoh	0.0822425
Kambanda	0.0822359
Jewell	0.0817883
Lacresha	0.08162
Villanueva	0.0813338
Echegaray	0.0812725
Downey	0.0810895
Giacchetto	0.0810641
Skakel	0.0810081
Fortier	0.0807229
Bodine	0.0804809
"Iranian POWs"	0.0804162
Chu	0.0803079
Kopp	0.0802582
Maag	0.0798317
Rodionov	0.0796433
Mease	0.0793305
Worrell	0.0792804
Garza	0.0791027
Camacho	0.0785118
furrow	0.0784687
Mitnick	0.0784299
Marinovich	0.0783036
Pederson	0.0781056
Reichel	0.0779162
Youk	0.0777882
"Xu Wenli"	0.0776858
Slaney	0.0772762
"Iraqi POWs"	0.077007
Kanell	0.0770018
Ahmed	0.0769877
Gusinsky	0.0768598
DeBerg	0.0768572
Blazevic	0.0767719
Niedermayer	0.0767299
Laudrup	0.0765814
Pagones	0.0761884
Garofalo	0.0761798
looper	0.0757752
Ochoa	0.0757683
Tarver	0.0756251
Lugo	0.0755
Eizenstat	0.0754683
Meguid	0.0753169
Irvan	0.0752552
Ilie	0.0752428
Meskini	0.0751607
Milken	0.074994
Hiett	0.0746426
Karlsson	0.0745939
Valenzuela	0.0742789
Ince	0.0741243
Skiles	0.0739801
Cavallo	0.0739771
Hirschfeld	0.0739499
Baumhammers	0.0738987
Robison	0.0738712
Graziani	0.0736255
"Cary Stayner"	0.0734561
Danner	0.073218
Hage	0.0731798
Checo	0.0731489
Jenoff	0.0729322
Figueroa	0.0729091
Turgeon	0.0726481
Farris	0.0725802
Bakaly	0.0724798
Fagan	0.0724378
Hatfield	0.0723093
Ceballos	0.0722099
Schweitzer	0.072198
Tong	0.0719792
Yastrzhembsky	0.0719544
Cepeda	0.0719302
hermosillo	0.0718822
Schourek	0.0717558
Kluivert	0.0714814
Manbar	0.0713877
Kimeses	0.0712551
Inman	0.0712268
Zubov	0.0709484
Sotomayor	0.0706774
Hagi	0.0704438
Khannouchi	0.0704205
"Lino Oviedo"	0.0704006
Gravano	0.0702538
Ottey	0.0702205
Napolitano	0.0702188
Adkins	0.0700515
"Xanana Gusmao"	0.0700321
Bulatovic	0.0700118
"Randall Simon"	0.0699963
Mukora	0.0696041
Ota	0.0695339
"police sergeant"	0.0695287
DiSarcina	0.0694491
Mercurio	0.0694368
))
(Alvin (desc 5648.4) (sims
Lubbock	0.0695989
Weimar	0.0683165
Longview	0.0625383
Macoris	0.0621856
midland	0.061969
"Mount Pleasant"	0.059548
"Crystal City"	0.0592822
Crawford	0.0557684
flint	0.0535737
Hillsboro	0.0532256
Tyler	0.0528003
"New Braunfels"	0.0527194
Florence	0.050798
"Eagle Pass"	0.050359
Nacogdoches	0.0502937
"East St. Louis"	0.0502764
Hurst	0.0502664
Lufkin	0.0500649
David	0.0500605
Greenville	0.0492916
Juarez	0.0485186
"Wichita Falls"	0.0484715
Brockton	0.0482487
"SIERRA BLANCA"	0.0481731
Bryan	0.048097
Vernon	0.0480827
Madison	0.0474609
Kragujevac	0.0473438
Bryson	0.0473432
Jasper	0.0472988
Texarkana	0.0470199
Fredericksburg	0.0469832
Sherman	0.0469312
Aberdeen	0.0462291
"South Boston"	0.0458464
Compton	0.0455628
Kraljevo	0.0454086
Montgomery	0.0453723
Thomasville	0.0452897
Brandon	0.0450972
Spokane	0.0450653
Flagstaff	0.0448724
Chappaqua	0.0445696
Tijuana	0.0444399
Charlestown	0.0442096
Harold	0.0441447
Macon	0.0438507
Gary	0.0437665
CAMILLA	0.043514
Pleasanton	0.0435096
Scottsdale	0.043468
Americus	0.0434438
Hatfield	0.0434171
Richmond	0.0432184
Laredo	0.042871
Beaumont	0.0427201
DVD-ROM	0.0426387
Woolley	0.0426311
Wetherell	0.0424313
Amarillo	0.0422692
Machado	0.0421856
Gavin	0.0418721
Greenwood	0.0418711
Carrollton	0.041795
Stockbridge	0.0417939
Stafford	0.0417129
Stoneman	0.0416051
Columbus	0.0415816
Tacoma	0.0413299
Prescott	0.0413167
Elton	0.0411353
Huntsville	0.0409262
Rhonda	0.0408939
Mlicki	0.0408931
Birmingham	0.0408591
Stamford	0.0407639
Savannah	0.040671
"New Rochelle"	0.040598
Pecos	0.0405286
Norman	0.0404215
Matthew	0.0401443
Calvin	0.0401088
))
(Alydar (desc 2351.98) (sims
"Seattle Slew"	0.133898
Biko	0.10003
"Matthew Eappen"	0.0932691
Baez	0.084057
"Victory Gallop"	0.0837665
Affirmed	0.0825109
"Favorite Trick"	0.081077
ruffian	0.080834
Behrens	0.0792526
"Skip Away"	0.0728963
Grambling	0.0728613
"Real Quiet"	0.0705378
Webdale	0.0704477
Gathers	0.0673768
"Free House"	0.0668056
Norberg	0.0666022
"John Kennedy Jr."	0.0659509
"Michael Kennedy"	0.0650358
Meston	0.0649068
"Red Bullet"	0.0644943
"Ayatollah Khomeini"	0.0629091
"Prime Timber"	0.0622111
Youk	0.0620126
"Brian Watts"	0.06071
Dudayev	0.0600234
"Jerry Garcia"	0.0599498
foal	0.0596594
Menifee	0.0591233
Daylami	0.0589726
"Cat Thief"	0.0589257
"Adam Petty"	0.0588435
"Le Defi Francais"	0.0586515
"Florence Griffith Joyner"	0.0585414
Sehorn	0.0584713
"Payne Stewart"	0.0581553
"Leon Hess"	0.0576151
"Francisco Franco"	0.0573433
Rusedski	0.0568627
Meares	0.0565506
Faison	0.0565147
"Inger Miller"	0.0558836
"Vincent Foster"	0.0556768
"Fusaichi Pegasus"	0.0551718
Perrot	0.0548919
JonBenet	0.0548607
Amedure	0.0548543
"Alexander the Great"	0.054686
noone	0.0541692
Moxley	0.0539811
Godina	0.0536205
Karpov	0.0534998
"Maria Mutola"	0.0531869
"Ecton Park"	0.0531154
Durwood	0.052813
FloJo	0.0521983
Andreychuk	0.0517464
aptitude	0.0515355
Costin	0.0515329
Bellush	0.0515015
"Ted Hughes"	0.0514204
"Lawton Chiles"	0.0513496
"FC Barcelona"	0.0513349
"right whale"	0.051188
Tanui	0.0506842
Raduyev	0.0501993
prospector	0.0501392
"Hafez Assad"	0.0500801
"Max Biaggi"	0.0500562
"Li Na"	0.050015
Holloway	0.0498798
"Kim Perrot"	0.0497907
"Running Stag"	0.0496587
"Scott Goodyear"	0.0494314
"Hilde Gerg"	0.0494217
Panathinaikos	0.0493131
"King Hassan"	0.0491656
"Joannette Kruger"	0.0491274
"Matthew Shepard"	0.04883
"James Byrd"	0.0487115
Hauser	0.04816
"Chen Lu"	0.0479273
Cota	0.0478495
swain	0.047611
"Silver Charm"	0.0475791
Starovoitova	0.047575
"Sani Abacha"	0.0473421
Cobain	0.0472133
Flanders	0.0471503
Berard	0.0471054
Nkabinde	0.0471036
Hasselbeck	0.0470852
"Michael Weiss"	0.0470829
"Gennady Zyuganov"	0.0468514
Arad	0.0466906
Timmy	0.0466578
Sealy	0.0465638
Bedell	0.0465599
Yagudin	0.0460705
"Kim Il Sung"	0.0459766
"JonBenet Ramsey"	0.0459661
"Paris St Germain"	0.0459212
Ceballos	0.0458772
Adonis	0.0454191
"Wilt Chamberlain"	0.045204
Sautin	0.04519
"Robert Edwards"	0.045132
"Puerto Madero"	0.0448797
"Bobby Phills"	0.0447075
Longo	0.0446191
"A.P Indy"	0.0444012
"Walter Payton"	0.0443592
"Griffith Joyner"	0.0441961
Binion	0.0441927
Craxi	0.044151
Sanchez-Vicario	0.0440361
"Derrick Thomas"	0.0440218
"Worldly Manner"	0.0438411
Hajdari	0.0438036
Ileto	0.0437533
"Dara Torres"	0.0437116
gentlemen	0.043707
Kovacevic	0.0436517
"Sun Microsystems Inc."	0.0436155
"MaliVai Washington"	0.0434178
Byrdsong	0.043375
Silverbulletday	0.0433217
Kang	0.0433035
Machel	0.0430201
Schmeichel	0.0430195
"Jinan Taishan"	0.0429916
"traveling salesman"	0.042835
"race horse"	0.0427726
"JFK Jr."	0.0425322
"Scott Pruett"	0.0425081
"Andrei Medvedev"	0.0424695
"Nathalie Dechy"	0.0423959
"Bobby Labonte"	0.0422424
McLaughlin	0.0421751
Selena	0.0420966
"Kenny Irwin"	0.0419954
Lawler	0.0419906
"Reggie Lewis"	0.0419081
Palmeiras	0.0418256
"James Byrd Jr."	0.0415513
Leto	0.0414956
"Cedric Pioline"	0.0413939
"Excellent Meeting"	0.0413877
Mitterrand	0.0413854
Shepard	0.0413446
"Cara Black"	0.0412811
Nacional	0.0412729
"Nicole Pratt"	0.0412259
Benton	0.0411693
Yarmila	0.0410432
Calvary	0.0409317
Dosedel	0.0409288
Loeb	0.0409047
Blackman	0.0408825
Dahmer	0.0408095
Artax	0.0405552
"Lemon Drop Kid"	0.0405414
"Andreas Papandreou"	0.0404655
Wondertross	0.0404164
"Hernan Gumy"	0.0403307
"Earnhardt Jr."	0.0403249
"Athletic Bilbao"	0.0402321
"Fernando Escartin"	0.0400918
Jonsson	0.040059
))
(ALZA (desc 1617.46) (sims
"U.S. Trust"	0.283146
ascend	0.280445
ENTREMED	0.241324
Emulex	0.24035
XYLAN	0.236795
RJR	0.233606
Petrofina	0.228003
Ciena	0.225595
"Learning Co."	0.225481
Broderbund	0.223114
Comsat	0.21917
"Fred Meyer"	0.216343
COLTEC	0.212379
SDL	0.211704
Genzyme	0.208336
SmithKline	0.208089
Healtheon	0.205396
McKesson	0.202751
WPP	0.19921
E-LOAN	0.198448
NatWest	0.198343
Biogen	0.197645
SkyTel	0.196982
Bestfoods	0.19583
Genentech	0.195406
MiniMed	0.18858
Glaxo	0.18848
"Thermo Electron"	0.187642
TYCO	0.181681
Honeywell	0.179099
Warner-Lambert	0.178458
Sunbeam	0.175975
EMC	0.175408
Airtouch	0.17474
"HBO &AMP; Co."	0.173658
"Times Mirror"	0.171835
"Union Carbide"	0.171206
Astra	0.169996
Cerent	0.169637
Paribas	0.169002
ARCO	0.168652
VENATOR	0.168192
Corel	0.167532
Sepracor	0.167274
Warnaco	0.167119
"U S West"	0.166919
Stratus	0.166338
Seagate	0.165562
TCI	0.165497
NORTHROP	0.165042
Amgen	0.163804
Cendant	0.163752
"Bay Networks"	0.162112
"Waste Management"	0.161887
BCE	0.161555
Chiron	0.161283
Avondale	0.161268
TELLABS	0.160191
Mannesmann	0.159791
Pairgain	0.1589
Terra	0.158733
Broadcom	0.157914
Qualcomm	0.157912
VoiceStream	0.156894
"Network Associates"	0.156872
Nabisco	0.155885
SGI	0.15558
"Pacific Century"	0.15513
"Niagara Mohawk"	0.1547
Qwest	0.154046
Fingerhut	0.153539
"RJR Nabisco"	0.153502
"J&AMP;J"	0.152035
PEOPLESOFT	0.152017
Conseco	0.151025
Nortel	0.150749
Seagram	0.150025
Halliburton	0.149817
"Berkshire Hathaway"	0.149664
ExciteAtHome	0.149388
GTE	0.149348
PLDT	0.148945
"Burlington Northern"	0.148909
Agilent	0.148888
Humana	0.148875
Asarco	0.148871
Asda	0.148819
"Computer Associates"	0.148703
Healtheon/WebMD	0.147766
Broadcast.com	0.147502
EarthLink	0.147469
"Telecom Italia"	0.14744
"P&AMP;G"	0.147048
Lycos	0.146981
Telefonica	0.146766
Norwest	0.146682
ENTERGY	0.146339
CMGI	0.144962
"Atlantic Richfield"	0.144765
"Y&AMP;R"	0.144702
Pfizer	0.144698
"National Grid"	0.144672
UAL	0.144544
Alltel	0.143596
AutoNation	0.142954
Weyerhaeuser	0.142944
"Silicon Graphics"	0.142503
AMR	0.142157
AMP	0.141941
Scania	0.141598
Gilead	0.141254
Aetna	0.141212
Mediaone	0.141178
BankAmerica	0.140824
HBOC	0.140496
"Gap Inc."	0.14018
Infoseek	0.1397
"Times Co."	0.139621
Bristol-Myers	0.139278
NTL	0.139168
Medtronic	0.13897
"MediaOne Group"	0.138285
WebMD	0.138213
"Bausch &AMP; Lomb"	0.138163
UAM	0.138106
Northpoint	0.137869
"Phelps Dodge"	0.136709
Starwood	0.136314
Litton	0.135803
"Boston Scientific"	0.135744
"Bankers Trust"	0.135723
Maytag	0.135688
Checkfree	0.135206
Tenneco	0.135148
Saks	0.134307
Mobil	0.133605
"Rite Aid"	0.133407
"Global Crossing"	0.133327
Novell	0.133078
Transamerica	0.133015
Ameritech	0.132848
AstraZeneca	0.13258
CNET	0.132188
LTCB	0.13181
"JDS Uniphase"	0.13171
Webvan	0.130832
"USA Networks"	0.130476
"Legend Group"	0.130473
Gillette	0.129648
SFX	0.129615
Vivendi	0.129029
Daimler	0.128498
Daimler-Benz	0.12818
Netcom	0.128011
Chris-Craft	0.127873
"Oracle Corp."	0.12746
"American Home"	0.126247
"Newport News"	0.126194
BankBoston	0.126175
"Red Hat"	0.126026
"Nippon Credit"	0.125986
Mattel	0.125778
NiSource	0.125508
"KCP&AMP;L"	0.125276
Corning	0.12525
Livent	0.12518
"Airtouch Communications"	0.124948
GeoCities	0.124939
Pharmacia	0.124895
"US Airways"	0.124834
Unicom	0.124819
CDnow	0.124664
Schlumberger	0.124148
Sibneft	0.123872
Cabletron	0.123708
YPF	0.123544
"Advanced Micro"	0.123485
Monsanto	0.123271
Zapata	0.123231
Pinkerton	0.122934
Viacom	0.122337
Totalfina	0.122301
WELLPOINT	0.121625
Gymboree	0.12146
Unisys	0.121102
Cisco	0.121086
"Royal Bank"	0.120694
"Northeast Utilities"	0.120654
"Johnson &AMP; Johnson"	0.120592
"Air Canada"	0.120482
"Con Ed"	0.120308
WorldCom	0.120245
Akamai	0.120237
Compaq	0.120086
Alcan	0.119971
Hoechst	0.119921
Alcoa	0.119704
"Bank of Scotland"	0.119686
Amoco	0.118569
Incyte	0.118458
"Chrysler Corp."	0.118393
Autodesk	0.118285
Polaroid	0.118253
HP	0.118141
Dresdner	0.11807
"Ameritech Corp."	0.117902
"Ford Motor Company"	0.117755
Cadbury	0.117607
RealNetworks	0.117181
"Northern Telecom"	0.11691
Intuit	0.116909
"BP Amoco"	0.116836
GEC	0.116498
Nextel	0.116406
"American Home Products"	0.11628
"Bankers Trust Corp."	0.115973
"BankBoston Corp."	0.115861
GANNETT	0.114933
"Hambrecht &AMP; Quist"	0.114642
oracle	0.114489
"Chronicle Publishing"	0.114477
Aegon	0.11427
Georgia-Pacific	0.114128
Schering-Plough	0.114065
ITT	0.113991
Kroger	0.113882
AIG	0.113665
Peapod	0.113492
"Allied Signal"	0.113203
REVLON	0.113054
CCE	0.112931
Hasbro	0.11263
Penney	0.112534
"Lycos Inc."	0.112519
"International Paper"	0.112204
Exxon	0.111838
AmeriTrade	0.111739
Texaco	0.111679
Vodafone	0.111434
"Time Warner"	0.111383
RAMBUS	0.109336
"America West"	0.109322
"Frontier Corp."	0.109006
"Societe Generale"	0.108463
Kodak	0.108211
"Learning Company"	0.108105
adobe	0.108091
Raytheon	0.10806
Volvo	0.107976
"Hongkong Telecom"	0.107555
"Dayton Hudson"	0.107475
Tandy	0.107411
Konka	0.107277
"British Aerospace"	0.107008
Lilly	0.106329
AlliedSignal	0.106292
SBC	0.106159
"U S West Inc."	0.105894
ZDNet	0.105849
VICKERS	0.105676
Tropicana	0.105427
PolyGram	0.105419
DoubleClick	0.105394
MCI	0.105305
MindSpring	0.104979
Providian	0.10431
Motorola	0.104228
Dupont	0.103966
MACROMEDIA	0.103891
Albertson's	0.103586
Transmeta	0.103517
"Pitney Bowes"	0.103432
"US West"	0.103404
Omnipoint	0.10339
"Dow Chemical"	0.103063
"True North"	0.102902
"Sprint Corp."	0.102843
Unilever	0.102504
"Real Networks"	0.10247
Inktomi	0.102432
"Netscape Communications"	0.102267
PaineWebber	0.102091
"Wells Fargo"	0.101984
"United Technologies"	0.101891
"MCI WorldCom"	0.101812
Pepsico	0.101584
ZDTV	0.101216
"Symantec Corp."	0.100755
Gulfstream	0.100696
eToys	0.100596
"Times Mirror Co."	0.100574
CUC	0.100492
Priceline	0.100469
GPU	0.100346
Clorox	0.100301
"Deutsche Telekom"	0.100291
Dexter	0.100222
"Canal Plus"	0.100096
Ericsson	0.100091
UBS	0.100054
LIFFE	0.100005
))
(Alzheimer (desc 12379) (sims
"multiple sclerosis"	0.298559
Osteoporosis	0.272278
"Parkinson's disease"	0.270864
Parkinson's	0.259231
epilepsy	0.248359
diabetes	0.242988
"rheumatoid arthritis"	0.220004
hemophilia	0.218509
dementia	0.215731
"heart disease"	0.212631
"cardiovascular disease"	0.210919
hypertension	0.203659
schizophrenia	0.20167
als	0.201583
"cystic fibrosis"	0.197663
lupus	0.197008
arthritis	0.195558
asthma	0.195202
"high blood pressure"	0.191576
leukemia	0.185806
glaucoma	0.180351
"heart failure"	0.174109
anemia	0.170128
"liver disease"	0.170093
"muscular dystrophy"	0.16901
osteoarthritis	0.168039
"kidney disease"	0.166954
autism	0.163125
"colon cancer"	0.162847
"lung cancer"	0.162818
cancer	0.161737
hepatitis	0.161454
disorder	0.152906
emphysema	0.149645
angina	0.148935
tuberculosis	0.147592
syndrome	0.146918
"congestive heart failure"	0.146589
"Lyme disease"	0.145684
disease	0.145132
"cerebral palsy"	0.143149
melanoma	0.142572
cataract	0.141725
lymphoma	0.139306
narcolepsy	0.136718
HIV	0.136567
atherosclerosis	0.136466
ailment	0.136072
"manic depression"	0.135678
ulcer	0.132331
allergy	0.131931
cirrhosis	0.131259
"skin cancer"	0.130179
"mental illness"	0.129506
myeloma	0.129502
"heart condition"	0.128495
Obesity	0.128304
migraine	0.128002
malaria	0.126837
pneumonia	0.126751
sclerosis	0.125299
Depression	0.125156
"eye disease"	0.12319
"heart attack"	0.120237
"brain tumor"	0.119629
"hepatitis B"	0.118579
Alcoholism	0.117933
retardation	0.117805
"mental disorder"	0.116919
"respiratory disease"	0.116095
infertility	0.113926
infection	0.113698
illness	0.113178
Tb	0.113025
CJD	0.112896
"back pain"	0.112891
"acquired immune deficiency syndrome"	0.110018
cholera	0.109454
apnea	0.107818
dysfunction	0.104856
impairment	0.1047
polio	0.103537
"sexually transmitted disease"	0.102721
abnormality	0.102259
blindness	0.101552
encephalitis	0.100289
diarrhea	0.100016
ADHD	0.0995722
Meningitis	0.0979976
Dengue	0.0979673
"malignant tumor"	0.0979585
influenza	0.0977347
insomnia	0.0974662
flu	0.0971786
"dengue fever"	0.0971421
"bipolar disorder"	0.0968138
bronchitis	0.0960386
stroke	0.0952957
"food poisoning"	0.0943593
"memory loss"	0.09429
tumor	0.0933334
encephalopathy	0.0931464
cholesterol	0.0922684
"infectious disease"	0.0917887
"neurological disorder"	0.0917752
"AIDS virus"	0.0915351
symptom	0.0912474
disability	0.0907292
"drug addiction"	0.0902477
defect	0.0896814
degeneration	0.0892649
HIV/AIDS	0.0882424
dehydration	0.0874546
"personality disorder"	0.0870293
"anxiety disorder"	0.0855114
Addiction	0.0846805
acne	0.0843801
"health problem"	0.0841019
leprosy	0.0832596
psoriasis	0.0832459
fibrillation	0.0830838
heartburn	0.0823948
ebola	0.0819695
deformity	0.081449
impotence	0.0811468
frostbite	0.0811223
paralysis	0.0811132
malnutrition	0.0810384
STDs	0.0810135
aids	0.0808953
deafness	0.0804767
malady	0.0804663
miscarriage	0.0804493
"hay fever"	0.0797362
relapse	0.0792872
"heat exhaustion"	0.0788744
"blood clot"	0.0783952
Psychosis	0.0783347
diarrhoea	0.0775475
fever	0.0772617
jaundice	0.0771624
syphilis	0.076638
virus	0.075917
malignancy	0.0755939
sickness	0.0753406
Huntington	0.0750001
hypothermia	0.0732642
myopia	0.0731557
thyroid	0.0728144
menopause	0.0725003
nausea	0.0722491
"lead poisoning"	0.0708969
nearsightedness	0.0707695
deficiency	0.07045
typhoid	0.069667
"venereal disease"	0.0695559
anorexia	0.0695414
"risk factor"	0.0692871
poisoning	0.0692302
inflammation	0.0683711
"writer's block"	0.0673082
heartbeat	0.0672756
incontinence	0.0672223
fatigue	0.0671858
SIDS	0.066996
"skin disease"	0.0666924
"neurological disease"	0.0665449
"common cold"	0.0657859
fracture	0.0654232
overdose	0.0650436
epidemic	0.0650053
hernia	0.0649059
gangrene	0.0648969
affliction	0.0642013
trauma	0.0641678
"communicable disease"	0.0641206
arrhythmia	0.0640397
"chest pain"	0.0639154
legionnaire	0.0635181
baldness	0.0633984
kidney	0.0632518
"Lou Gehrig"	0.0627752
mutation	0.0627188
trachoma	0.0625141
Rabies	0.0623236
reflux	0.062067
C	0.0619354
mortality	0.0616939
gallstone	0.0613377
recurrence	0.0609449
pregnancy	0.0606419
anthrax	0.060533
"blood pressure"	0.0596407
Dysentery	0.0595585
"AIDS patient"	0.059242
gastroenteritis	0.0591544
complication	0.0588973
sterility	0.0585025
prostate	0.0582797
lung	0.0581962
))
(ama (desc 5563.88) (sims
"American Medical Association"	0.197297
NARAL	0.144937
"American Heart Association"	0.132271
OCA	0.123375
AFL-CIO	0.123257
SLOC	0.12187
"Medical Society"	0.118321
ABA	0.114246
"Salt Lake Organizing Committee"	0.11366
NEA	0.113169
NRA	0.112613
HKFA	0.111631
SUNY	0.110265
UAW	0.109291
CUNY	0.106518
"National Rifle Association"	0.10493
teamster	0.102394
APA	0.101384
"Sierra Club"	0.0995809
IU	0.0990047
RIAA	0.0988298
ITC	0.0975501
PBA	0.0963158
"U.S. Soccer Federation"	0.0955513
VFW	0.095199
NAACP	0.0919178
PUC	0.0916603
AmCham	0.0910457
Teamsters	0.0908518
AARP	0.0907006
NASD	0.0905152
RNC	0.0897438
USOC	0.0890625
ADL	0.0888436
RJR	0.0884344
DP	0.0879182
IAI	0.0872633
FTC	0.0867657
ACOG	0.0863677
MPAA	0.0856636
Marketspan	0.0854525
"College Board"	0.0854047
"Wine Institute"	0.085022
HHS	0.0846057
SCLC	0.0845662
IEC	0.0843232
UNAMET	0.0834342
CCF	0.0826497
"American Bar Association"	0.0818844
UUP	0.0810878
CEC	0.0803275
UNIP	0.0799474
CSE	0.079685
IFP	0.0796371
CBI	0.0795923
PBSI	0.0795669
"National Education Association"	0.0793097
NRC	0.0792104
"Independence Party"	0.0791664
"Conservative Party"	0.0791646
UMNO	0.0791153
Radcliffe	0.0790243
Histadrut	0.0783924
PSC	0.0782113
USTA	0.0780156
"National Academy of Sciences"	0.0777375
MTA	0.0774557
CWA	0.0774458
NCI	0.0772704
WEF	0.0770457
"Urban League"	0.0767426
"National Cancer Institute"	0.0765054
NSC	0.0764813
Massport	0.0764112
"Association of Flight Attendants"	0.0763891
NiSource	0.0763535
Riordan	0.0762156
MLB	0.0761907
"American Psychiatric Association"	0.0758879
AFA	0.0758286
ANC	0.0758112
Bridgestone/Firestone	0.0755686
CPSC	0.0754863
"machinists union"	0.075321
DPP	0.0752214
"Department of Corrections"	0.0749289
"Common Cause"	0.0749206
ITF	0.0745346
"Forest Service"	0.0743174
CAA	0.0742554
"Los Angeles City Council"	0.0741682
EC	0.0741661
Wada	0.0741585
guild	0.0740145
YankeeNets	0.0740016
AOC	0.0739388
UTC	0.0739227
DNC	0.0739161
DLC	0.0739034
"Recording Industry Association of America"	0.0738218
COSATU	0.0736996
PNP	0.0735834
"NZ First"	0.0732546
CFTC	0.0731627
"National Association of Manufacturers"	0.0730466
IAAF	0.0728865
SDP	0.0726827
Eximbank	0.072628
"Institute of Medicine"	0.0726224
Ciampi	0.0725884
Genzyme	0.0725282
BSA	0.0725078
AIG	0.0718795
"Australian Olympic Committee"	0.0716454
CIRC	0.0716379
"U.S. Chamber of Commerce"	0.071512
"United Way"	0.0714936
CDU	0.0713225
FCC	0.071169
RUC	0.0711087
"United Auto Workers"	0.070906
CPAFFC	0.0707843
INEC	0.0707374
NHRA	0.0704903
IPU	0.0704019
"National Urban League"	0.070282
"American Cancer Society"	0.0700476
Kassirer	0.0700474
"U.S. Fed"	0.0700134
"International Olympic Committee"	0.0699117
USGA	0.0698638
"Georgia Power"	0.0698107
PATA	0.0697417
"Communications Workers of America"	0.0695687
CHP	0.0695162
Cendant	0.0695037
ECB	0.0693786
"Football Association"	0.0693595
FA	0.0690444
SSB	0.068837
"P&AMP;G"	0.0688213
"Congressional Republicans"	0.0688188
"Liberal Party"	0.0686963
"Board of Supervisors"	0.06848
Lucasfilm	0.068461
"Pacific Lumber"	0.0684205
"Education Department"	0.0683591
UDF	0.0683237
SDPC	0.068178
Ruthardt	0.0679917
"U.S. Defense Department"	0.067975
"American Psychological Association"	0.0678618
PSE	0.0677839
"Truth Commission"	0.0677364
Kaiser	0.0675701
"U.S. Congress"	0.0675694
EPA	0.0674449
CMGI	0.0674261
Totalfina	0.0674232
"Health Department"	0.0673327
"Clinton Administration"	0.0673128
NIH	0.0671124
ADM	0.0670911
FDA	0.0670387
"Health and Welfare Ministry"	0.0669726
"United Steelworkers"	0.0669223
Icann	0.0668376
"Federal Trade Commission"	0.066785
BOI	0.066784
IEA	0.0667096
CSA	0.0666613
FAO	0.0666512
AHP	0.066553
"Allied Pilots Association"	0.0664882
SAA	0.0664226
NCR	0.066371
PETA	0.0663553
CalPERS	0.0663332
BIA	0.066312
"school board"	0.0663049
ICRC	0.0662567
USATF	0.0660975
PDI	0.0660618
BOC	0.0660581
CMA	0.0660444
FN	0.0660408
EOHR	0.0660322
"U.S. Golf Association"	0.0660014
DFB	0.0658438
"patent office"	0.0658147
"Housing Authority"	0.0657653
federation	0.0657011
"Planned Parenthood"	0.0655929
"Philippine Senate"	0.0655489
EBRD	0.0655404
Arpaio	0.0654053
Firestone	0.0653801
ACLU	0.0652981
HKMA	0.0652755
LAUSD	0.0651742
))
(Amadeus (desc 2061.51) (sims
"Forrest Gump"	0.11685
Tootsie	0.104624
"Cradle Will Rock"	0.0915488
"Dirty Blonde"	0.0884607
"True West"	0.0831508
"Iceman Cometh"	0.0819948
"Natural Born Killers"	0.0818994
Footloose	0.0803108
"Pulp Fiction"	0.0772372
"Jerry Maguire"	0.0769538
cabaret	0.0767274
FARGO	0.0681965
"Animal House"	0.0674317
"best man"	0.0673057
"L.A Confidential"	0.0669541
"Annie Get Your Gun"	0.0631843
"Good Will Hunting"	0.0599338
"True Thing"	0.0598248
"Cruel Intentions"	0.059456
"Harold Pinter"	0.059205
Bambi	0.0585256
"Titan A.E."	0.0584673
"Opium War"	0.0584184
"Sweeney Todd"	0.0577047
"High Art"	0.0568694
Casablanca	0.0565315
"Richard III"	0.0559949
"Boogie Nights"	0.0559053
Evita	0.0557897
"Meet Joe Black"	0.055524
Hoosier	0.0555198
EdTV	0.055359
"Life Is Beautiful"	0.0551295
Fantasia	0.054529
Riverdance	0.0544196
Rodgers	0.0541132
"Blade Runner"	0.0533072
Trainspotting	0.0530307
"Don Giovanni"	0.0529405
"Patch Adams"	0.0528044
"Dirty Dancing"	0.0524599
Schindler	0.0524
"American Pie"	0.0523302
O.	0.0521871
Patton	0.0521363
Bulworth	0.051809
"Saving Private Ryan"	0.0513918
"Eyes Wide Shut"	0.0513203
"Music Man"	0.0512708
"Jeffrey Katzenberg"	0.051186
"Smoke Signals"	0.0509994
"musical comedy"	0.0505225
Porgy	0.050254
stagehand	0.0497335
"Little Voice"	0.0495074
"snake eyes"	0.0489204
"sleeping beauty"	0.0488881
MACHIAVELLI	0.0488876
"King Lear"	0.0488037
"Mighty Joe Young"	0.0487643
Romeo	0.0487561
Frankenstein	0.0484649
"Central Station"	0.0482441
"Les Miserables"	0.0482316
"George Bernard Shaw"	0.0475719
Selena	0.0471078
"Primary Colors"	0.0470005
"World Cup Finals"	0.0469085
"Larry Sanders Show"	0.0468711
"Citizen Kane"	0.0468109
Giselle	0.0466455
Bowfinger	0.0464055
dealmaker	0.0463122
Showboat	0.0460361
"wise guy"	0.0459361
psycho	0.045931
"Austin Powers"	0.0459096
"Mickey Blue Eyes"	0.0458503
"six degrees"	0.0455147
"West Side Story"	0.0454908
Armageddon	0.0454679
"Night Fever"	0.0454026
"Streetcar Named Desire"	0.0453767
"world premiere"	0.0452108
"Runaway Bride"	0.0450133
"Jurassic Park"	0.0446853
rainmaker	0.0444006
"Erin Brockovich"	0.0436868
"Eudora Welty"	0.0434665
"chicken run"	0.0433261
"swing music"	0.0427161
"high fidelity"	0.04264
Jawbreaker	0.0425842
"Top Gun"	0.0425448
"Passion play"	0.0424272
"wonder boy"	0.0423103
"Civil Action"	0.0420981
Goodfellas	0.0418312
Rashomon	0.041704
U-@@@	0.0416632
Pinocchio	0.0416462
in-jokes	0.0415646
"Foxy Brown"	0.041493
Marciano	0.0413831
E.T	0.0413213
"David Mamet"	0.0412823
"Being John Malkovich"	0.0409401
Godzilla	0.0407429
"Chevrolet Monte Carlo"	0.0405874
"Beijing Opera"	0.0404678
croquet	0.0402943
Gladiator	0.0402774
Antz	0.040274
"wing commander"	0.0402552
))
("Amadou Diallo" (desc 11587.5) (sims
Diallo	0.304244
"Patrick Dorismond"	0.204088
"James Byrd Jr."	0.186982
"Matthew Shepard"	0.177149
Ileto	0.157899
"Matthew Eappen"	0.151261
"Martha Moxley"	0.145896
"Abner Louima"	0.141694
"JonBenet Ramsey"	0.14099
"James Byrd"	0.137175
Dorismond	0.129337
"Barnett Slepian"	0.129294
Slepian	0.126883
Moxley	0.118058
Webdale	0.113418
JonBenet	0.110195
"Rodney King"	0.104288
Starovoitova	0.103508
Hajdari	0.102833
"Lee Harvey Oswald"	0.102047
"black man"	0.101086
Gerardi	0.100136
"Thomas Youk"	0.0994831
"Galina Starovoitova"	0.0985987
PFC	0.0975623
Winchell	0.096659
"Kendra Webdale"	0.0965423
"Nicole Brown Simpson"	0.0941068
Byrd	0.093793
"Carole Sund"	0.0918087
B.J	0.090497
Amedure	0.0801304
"Gianni Versace"	0.07967
Shepard	0.0764779
immigrant	0.0758774
Bellush	0.0755995
policewoman	0.0752473
Fahey	0.0716745
LOUIMA	0.070633
Byrdsong	0.0703148
sightseer	0.0698741
"black person"	0.0694023
O'Hair	0.0687756
motorcyclist	0.0682771
Biko	0.0682404
Lollar	0.0671777
Raznatovic	0.0667361
Benton	0.066213
"police officer"	0.066131
"Claudia Benton"	0.0661079
peddler	0.0659447
Rabin	0.0649718
first-grader	0.0641116
RFK	0.0640927
"Tupac Shakur"	0.0638193
Grunow	0.0633239
Selena	0.063315
Guerin	0.0631874
Dudayev	0.062095
Youk	0.0609901
"mail carrier"	0.0607534
Carnegie	0.0604162
Hani	0.0599643
"Medgar Evers"	0.0595845
policeman	0.0586444
"Louise Woodward"	0.0585673
"Reggie Lewis"	0.0580482
"John Lennon"	0.0577543
"robbery suspect"	0.0574262
"Azem Hajdari"	0.0574239
gunplay	0.0574092
Arkan	0.0569141
"Martin Luther King Jr."	0.0568265
Copt	0.0559323
"Princess Diana"	0.0558139
noncombatant	0.0557785
militiaman	0.0557451
Dahmer	0.0557235
Davidians	0.0556392
Isaiah	0.0552203
Halloran	0.0551437
Gathers	0.0549526
Binion	0.0549075
"King Hassan"	0.0549073
exwife	0.0545055
Lennon	0.0540679
vestibule	0.0538623
Baez	0.0536236
cabby	0.0535742
Bulatovic	0.0525836
Sund	0.0524616
Ricart	0.0524165
"Yitzhak Rabin"	0.052247
"prison guard"	0.0517295
"Saeed Hajjarian"	0.0516762
Cavalese	0.0516428
"Branch Davidians"	0.0514683
Baumhammers	0.0513056
Norberg	0.0510668
Rushdie	0.0504988
stepdaughter	0.0503514
ex-girlfriend	0.0501461
Oswald	0.0501098
policemen	0.0500655
Snead	0.049885
Abiola	0.0496049
deceased	0.0494298
airmen	0.0491661
Ulrich	0.0490132
Nasrin	0.0490069
McIntosh	0.0481981
Odai	0.0481547
Diana	0.0480484
Matthew	0.0479938
Escobar	0.0478352
"loved one"	0.0477814
"John Kennedy Jr."	0.0477631
Phills	0.0476372
"West African"	0.0476133
Gaither	0.0475057
"mountain gorilla"	0.0472974
"school girl"	0.0468821
Dodi	0.0468559
"sexual assault"	0.0468171
Hurtado	0.046817
"little girl"	0.0467181
Sharif	0.0467038
"Robert F. Kennedy"	0.0465694
watchman	0.0465244
"Shao Yunhuan"	0.0464688
"Michael Kennedy"	0.0464084
Palczynski	0.0458174
postman	0.0457797
Sikh	0.0456176
Davidian	0.0455316
Wilkerson	0.0454876
"JFK Jr."	0.0454497
Busch	0.0454418
Stayner	0.0454237
Stahl	0.0453958
Coughlin	0.0450998
"black woman"	0.0449726
sodomy	0.0448481
girlfriend	0.04472
Cosby	0.0447088
"Greek Cypriot"	0.0446783
Matasareanu	0.0445708
constable	0.0445341
"civil rights leader"	0.0445169
Sheppard	0.0442932
Armstrong	0.044186
"Coptic Christians"	0.0438747
Terrell	0.04374
"Kent State"	0.0437086
brutality	0.0434994
Howell	0.043295
"little boy"	0.043227
Batouty	0.0431747
Ferguson	0.0429368
stowaway	0.0428067
"Carolyn Bessette Kennedy"	0.0427749
Kane	0.0427134
newborn	0.0424809
cadet	0.0423138
"Adam Petty"	0.0423077
"Rajiv Gandhi"	0.0421537
gunman	0.0420539
Barton	0.04202
"Ruiz Massieu"	0.0419949
"Hafez Assad"	0.0419868
Pamela	0.0418904
"Pol Pot"	0.0418739
"Bobby Phills"	0.0417645
Armenians	0.0417037
Goldstein	0.0415797
"federal agent"	0.0414322
Al-Amin	0.0413371
Jesse	0.0412892
Ashbrook	0.0411436
"security guard"	0.0411314
schoolgirl	0.0410732
seamen	0.0408462
Levin	0.0407053
Garzon	0.0407026
"Czar Nicholas II"	0.0405529
Koresh	0.0404019
mailman	0.0403394
octuplets	0.0402043
Nyerere	0.0401833
))
(Amal (desc 4235) (sims
"Islamic Jihad"	0.226043
Hezbollah	0.203931
"Lebanese Hezbollah"	0.150813
"Hezbollah (Party"	0.146426
"South Lebanon Army"	0.146334
Hamas	0.139214
Fatah	0.137238
Otpor	0.134445
"Real IRA"	0.129948
Hezb-i-Islami	0.123546
"Moro National Liberation Front"	0.121923
"Afghan Taliban"	0.121251
"South Lebanese Army"	0.116802
mujahedeen	0.116798
"National Democratic Alliance"	0.114319
FALN	0.113855
"Kurdistan Workers Party"	0.111313
Shiite	0.110597
"Armed Islamic Group"	0.109587
MKO	0.109526
"Aryan Nations"	0.108367
Interahamwe	0.1079
militia	0.106328
UNITA	0.103821
SLA	0.103769
KNU	0.103716
basij	0.103522
"Islamic Movement"	0.102222
"Muslim Brotherhood"	0.102104
"Tupac Amaru Revolutionary Movement"	0.101108
MQM	0.0997138
SPLA	0.0987854
Kamajors	0.0986446
"Abu Sayyaf"	0.0975141
"National Liberation Army"	0.09738
UUP	0.0972716
LRA	0.0957369
EPR	0.0954306
NPA	0.0949375
FARC	0.0946198
ELN	0.094588
Renamo	0.0941073
"Democratic Unionist Party"	0.0934609
Taliban	0.0931173
"Promise Keepers"	0.0928889
ETA	0.0925548
guerilla	0.0925077
Zapatista	0.0921417
"Iraqi National Congress"	0.091707
"Kurdistan Democratic Party"	0.0916889
"Kosovo Liberation Army"	0.091547
"Revolutionary United Front"	0.0913904
"Southern Command"	0.091021
guerrilla	0.0909557
PUK	0.0904474
"National Front"	0.0903992
MRTA	0.0900235
"Sudan People's Liberation Army"	0.0896261
"Congressional Black Caucus"	0.089083
faction	0.0885551
"Islamic Resistance Movement"	0.0880552
MNLF	0.0877945
RRA	0.0877404
pro-British	0.0877249
Kurdish	0.0874336
"Democratic Leadership Council"	0.0871517
RUF	0.0869896
"Inkatha Freedom Party"	0.0863463
"Center Party"	0.0861275
KLA	0.0852221
"National League for Democracy"	0.084838
PML-N	0.0843968
"Revolutionary Armed Forces"	0.084381
Yabloko	0.0843036
Sunni	0.0841356
"United National Independence Party"	0.0840978
Greenpeace	0.0828014
"Zapatista National Liberation Army"	0.0827356
"World Church"	0.081961
"New Aspiration Party"	0.0817819
RCD	0.0817649
"Meretz Party"	0.0813287
"Nahdlatul Ulama"	0.0809519
"Radical Party"	0.0801276
sect	0.0798481
"African National Congress"	0.0796876
"Khmer Rouge"	0.0796376
Taleban	0.0791344
ninja	0.0790478
NDF	0.0789613
"Palestine Liberation Organization"	0.0788908
PKK	0.0788668
WNBF	0.0783357
"Labor Party"	0.0781642
Kashmiri	0.0779445
GIA	0.0777683
ragtag	0.0776747
"Irish Republican Army"	0.0774061
UNIFIL	0.0772137
"Operation Rescue"	0.0772102
"Aum Shinrikyo"	0.0771968
"Islamic Welfare Party"	0.0770709
"Sam Rainsy Party"	0.0770365
"Public Citizen"	0.0769928
"Polisario Front"	0.0769586
Banyamulenge	0.0766463
"Shiite Muslim"	0.0765928
"Social Democratic"	0.0760936
Dostum	0.0757759
MILF	0.075514
"popular front"	0.0750251
"Likud Party"	0.0749987
"Caribbean Community"	0.0749706
LTTE	0.0749498
Jihad	0.0748686
IDF	0.0746496
"Moro Islamic Liberation Front"	0.0744675
SDP	0.0744516
"Popular Party"	0.0743718
"Bharatiya Janata Party"	0.0741726
secessionist	0.0740158
fundamentalist	0.0739705
al-Hariri	0.0739487
"Motion Picture Association of America"	0.0735969
Hekmatyar	0.0735434
PDI	0.0732558
"Economic Planning Agency"	0.0732231
"Israeli Foreign Ministry"	0.0719655
"National Action"	0.0718756
"Canadian Alliance"	0.0717887
"Pakistan Muslim League"	0.0716835
"Common Cause"	0.0715484
"Russian Communist Party"	0.0715118
Hutu	0.0714922
"Republican Leadership Council"	0.0714832
"People's Party"	0.0714234
SPD	0.071249
"South African National Defense Force"	0.0709056
UNTAET	0.0706987
"Russian Navy"	0.0706456
NDA	0.0704282
"Indonesian Armed Forces"	0.0703914
"Operation Lifeline Sudan"	0.0701361
"Socialist Party"	0.0700189
Wahhabis	0.0698947
"Ulster Unionist"	0.0698085
"Human Rights Watch"	0.0697247
"Northern Alliance"	0.0697125
Druse	0.0694546
"Anti-Defamation League"	0.0693963
PML	0.0693785
"Cuban American National Foundation"	0.0693026
"Serbian Radical Party"	0.0689887
Timorese	0.0688033
"Sunni Muslim"	0.0685685
"Amnesty International"	0.0685436
Thyssen	0.0681024
ABRI	0.0675179
MDC	0.0674448
Berri	0.0672766
BNP	0.0670441
"Patriotic Union of Kurdistan"	0.0669624
"Family Research Council"	0.0666499
"Violence Policy Center"	0.0663199
UNIP	0.0661651
Elf-Aquitaine	0.0661597
CUF	0.066121
"labor union"	0.066063
"Liberation Army"	0.0660175
SDLP	0.0658879
"Indonesian Military"	0.0654944
"Congress Party"	0.0654371
"Thomson CSF"	0.0653751
"Serbian Renewal Movement"	0.065169
"United National Party"	0.0650245
"District Council"	0.0649444
"Log Cabin Republicans"	0.0648211
"Freedom Party"	0.0646843
PASOK	0.064659
DAP	0.0646359
"Human Rights Campaign"	0.064582
"Urban League"	0.0645775
"Nationalist Party"	0.0645333
"Northern Fleet"	0.0644898
"National Alliance"	0.0644459
"World Jewish Congress"	0.0643758
Meretz	0.063919
"Kosovo Albanian"	0.0638499
SANDF	0.0634488
Lakas	0.0631795
"opposition party"	0.0631749
"Liberation Front"	0.0630891
"Atlanta Committee"	0.0630842
"British Foreign Office"	0.0630608
"United Democratic Movement"	0.0630161
"Independence Party"	0.0627404
KDP	0.062646
NLD	0.0626363
"Albanian Kosovo Liberation Army"	0.062564
"Russian Orthodox Church"	0.0625087
))
(amalgam (desc 7629.62) (sims
blend	0.0823265
juxtaposition	0.0667166
outgrowth	0.0647861
mishmash	0.0614114
bedfellow	0.0608134
hybrid	0.0597319
distillation	0.0576847
pastiche	0.0556069
synthesis	0.054231
smorgasbord	0.054193
confluence	0.0539692
melding	0.0527503
mixture	0.0499038
melange	0.0488074
blending	0.0484136
"cross section"	0.0478869
fusion	0.046902
antithesis	0.0468159
amalgamation	0.046337
paradox	0.0457462
"melting pot"	0.0455855
contortion	0.0452539
patchwork	0.0441403
mosaic	0.0437148
"piece of work"	0.0436642
coincidence	0.0436124
profusion	0.0431979
jumble	0.0428701
hodgepodge	0.0424986
embodiment	0.0424695
evocation	0.0418006
cross-fertilization	0.0413207
continuum	0.0413002
purity	0.0408216
collage	0.0406346
assemblage	0.04044
exponent	0.040143
))
(amalgamation (desc 2061.73) (sims
automaton	0.0669075
"about @@@ percent"	0.0638607
aggregation	0.0633557
splintering	0.061406
abdication	0.0568424
Balkanization	0.0561875
"Framework Agreement"	0.0561449
reappraisal	0.0520726
smorgasbord	0.0516538
usurpation	0.0503581
decimation	0.0501243
melange	0.0494705
phaseout	0.0494658
denigration	0.0491366
divestiture	0.0489406
cornucopia	0.0486734
licensing	0.0486097
remodeling	0.0485874
forming	0.0471103
agglomeration	0.0468337
"preconceived notion"	0.0463988
amalgam	0.046337
"Jerusalem Committee"	0.0463073
megamerger	0.0457141
reexamination	0.0455612
recruiting	0.0454584
mushrooming	0.0453692
enlargement	0.0451339
revamping	0.0447024
closedown	0.0444924
"Kosovo Verification Mission"	0.0442907
computerization	0.0441629
reorientation	0.0436446
earthiness	0.0435983
activation	0.0433745
commercialization	0.0425572
enabler	0.0424314
"natural ability"	0.0421644
uptrend	0.0420861
"international criminal court"	0.0420693
"bond offering"	0.042027
maneuvering	0.041867
peculiarity	0.0413993
importing	0.041285
privatisation	0.0412175
realignment	0.0411293
mishmash	0.0411239
coven	0.0406149
redefinition	0.0406137
"less than one-third"	0.0404719
"opening line"	0.0403131
acquirer	0.0402692
"Free Trade Area"	0.0400353
))
(Amanda (desc 6236.79) (sims
Jessica	0.112895
Kimberly	0.103104
Julie	0.101103
Alexandra	0.100664
Kristin	0.0993484
Emily	0.0987945
Hannah	0.0970932
Jennifer	0.0960885
Katie	0.095919
Nicole	0.09509
Eileen	0.0920178
Ashley	0.089912
Stephanie	0.0889009
Samantha	0.0882789
Karenna	0.086738
Miriam	0.0865225
Rachel	0.0864011
Natalie	0.0862501
Lori	0.0855191
Bridget	0.0850623
Sasha	0.0850533
Sonia	0.0849255
Maria	0.0846868
Michelle	0.0845236
Valerie	0.0845066
Rebecca	0.0843335
Tina	0.084091
Leah	0.0832527
Vivian	0.0829042
Barbara	0.0824901
Irina	0.0822908
Vanessa	0.0818164
Judith	0.0816458
Caroline	0.0815914
Beatrice	0.0812622
Nicholas	0.0793197
Julia	0.0789495
"Karenna Gore Schiff"	0.0786923
Emma	0.0786412
Megan	0.0786391
Shannon	0.0785251
Laura	0.0783441
Jill	0.0780784
Kathleen	0.0779214
Karen	0.0776062
Jenna	0.0767201
Alison	0.0766537
Andrea	0.0763761
Olivia	0.0762952
Dorothy	0.0760321
Sarah	0.0755082
Jenny	0.0754928
JonBenet	0.074937
Steffi	0.0748271
Jessie	0.0744265
Margaret	0.0741053
Susan	0.0730311
Kathryn	0.0728248
Olga	0.0725292
Juli	0.0724088
Katherine	0.0723495
Edith	0.0721235
Erica	0.0719258
Diane	0.0718514
Meg	0.0718439
Linda	0.071811
colleen	0.0712497
Danielle	0.0708637
Elena	0.0708448
Esther	0.0701854
Ellen	0.070038
Christine	0.0695956
Brooke	0.0694908
Zoe	0.0694605
Annie	0.0686217
Courtney	0.0686063
Lucy	0.0685115
Sophie	0.0684102
Debbie	0.0681419
Pamela	0.0680445
Kathy	0.0680223
Beverly	0.0679399
grandchild	0.0679373
Beth	0.0672804
anna	0.0672795
Marlene	0.066451
Anne	0.0663909
Lydia	0.0662784
Sally	0.065933
ANN	0.0659149
Elizabeth	0.065833
Sandra	0.0655486
alicia	0.0654857
Brenda	0.0653882
Mary	0.0651021
Monique	0.0650415
Stella	0.0649846
Maureen	0.0649502
Marisleysis	0.0648306
David	0.0645355
Patricia	0.0645223
Lauren	0.0642609
Veronica	0.0642442
Nora	0.0635295
Sara	0.0633861
Jacqueline	0.0632665
Polly	0.0632514
Sylvia	0.063146
Diana	0.063025
Kate	0.0630232
Abby	0.0628325
Naomi	0.0627301
Cheryl	0.0626078
Andrew	0.0624938
Audrey	0.0622853
Molly	0.062246
Tyler	0.0622316
Angelica	0.062111
Nikki	0.06205
Lisa	0.0620274
Christina	0.0619365
Pam	0.0619285
Erin	0.0618367
Cody	0.0618155
ALLISON	0.0617374
Matthew	0.0613964
Amy	0.0613694
Brandon	0.0612037
Melanie	0.0610278
Evelyn	0.0609795
Jackie	0.0608632
Jamie	0.0608374
gloria	0.0608371
Kelly	0.0608212
Martha	0.0608169
"Leigh Ann"	0.0607892
becky	0.0607737
Justin	0.0604616
Jonathan	0.0602396
Helen	0.0599463
Marie	0.0599254
Jacob	0.0597695
Bessie	0.059605
Kay	0.0593222
Eleanor	0.0591923
Josephine	0.0591806
Michele	0.0591463
stepdaughter	0.0587524
Camille	0.0587188
Hadley	0.0581804
Kevin	0.0575219
Lucia	0.0571976
Denise	0.0571869
Donna	0.0565528
Nancy	0.0563704
Renee	0.0561658
Catherine	0.0560551
JoAnne	0.055972
Lois	0.0558182
Toni	0.0556474
Joshua	0.0553389
Johanna	0.0552083
Mona	0.0551983
Alex	0.0550561
Ariel	0.0550168
Meredith	0.0549857
Pauline	0.0547011
Laurie	0.054571
Wanda	0.0540988
Andre	0.0539815
Peggy	0.0538397
Natasha	0.053473
Zachary	0.0534422
Claudia	0.053411
Paulina	0.053283
heather	0.0532642
Eli	0.0532467
Marian	0.0531138
Carolyn	0.053043
Reggie	0.0526205
Ted	0.052578
Yarmila	0.0525091
Bianca	0.0525052
Melissa	0.0524999
Millie	0.0524663
Clara	0.052407
Michael	0.052394
Marianne	0.0523403
Annette	0.0523208
Andrei	0.0521097
Leslie	0.0520353
Sean	0.0517184
Alexis	0.0515339
Ivan	0.0515238
Hilary	0.0513307
Eva	0.0512445
Chris	0.051073
Carrie	0.051061
butch	0.0510405
lily	0.050685
))
("Amanda Coetzer" (desc 9362.97) (sims
"Conchita Martinez"	0.411731
"Nathalie Tauziat"	0.398427
"Arantxa Sanchez Vicario"	0.397971
"Iva Majoli"	0.395187
"Mary Pierce"	0.392433
"Anke Huber"	0.380987
"Sandrine Testud"	0.372261
"Irina Spirlea"	0.371588
"Natasha Zvereva"	0.363666
"Arantxa Sanchez-Vicario"	0.360864
"Jana Novotna"	0.358449
"Dominique Van Roost"	0.356704
"Patty Schnyder"	0.353705
"Wayne Ferreira"	0.353488
"Julie Halard-Decugis"	0.330668
"Lindsay Davenport"	0.330378
"Monica Seles"	0.32564
"Barbara Schett"	0.323572
"Ai Sugiyama"	0.321163
"Chanda Rubin"	0.320762
"Thomas Enqvist"	0.30685
"Albert Costa"	0.306482
"Alberto Berasategui"	0.302274
"Felix Mantilla"	0.297585
"Venus Williams"	0.29337
"Francisco Clavet"	0.293094
"Serena Williams"	0.290337
"Anna Kournikova"	0.28835
"Ruxandra Dragomir"	0.287564
"Amelie Mauresmo"	0.286859
"Marcelo Rios"	0.279924
"Richard Krajicek"	0.27981
"Mariano Puerta"	0.277406
"Lisa Raymond"	0.276417
"Alex Corretja"	0.275003
"Gustavo Kuerten"	0.273854
"Jonas Bjorkman"	0.273589
"Elena Likhovtseva"	0.272726
"Todd Martin"	0.270768
"Martina Hingis"	0.268696
"Tommy Haas"	0.268601
"Carlos Moya"	0.268448
"Steffi Graf"	0.268443
"Cedric Pioline"	0.268128
"Thomas Muster"	0.267546
"Mary Joe Fernandez"	0.266502
"Karol Kucera"	0.266077
"Marcos Ondruska"	0.265843
"Yevgeny Kafelnikov"	0.26541
"Nicolas Kiefer"	0.265296
"Goran Ivanisevic"	0.26514
"Magnus Norman"	0.263582
"Brenda Schultz-McCarthy"	0.263318
"American Chanda Rubin"	0.263114
"Marc Rosset"	0.262258
"Richard Fromberg"	0.260994
"Magdalena Maleeva"	0.259419
"Tim Henman"	0.258922
"American Lindsay Davenport"	0.258791
"Patrick Rafter"	0.258383
"Kimiko Date"	0.257596
"Nathalie Dechy"	0.257121
"Greg Rusedski"	0.256336
"Grant Stafford"	0.253251
"Thomas Johansson"	0.253182
"Albert Portas"	0.251603
"Carlos Costa"	0.251099
"Barbara Paulus"	0.250012
"Byron Black"	0.246262
"Joannette Kruger"	0.245692
"Arnaud Boetsch"	0.245027
"Jason Stoltenberg"	0.244872
"Silvia Farina"	0.244441
"Sabine Appelmans"	0.243872
"Andrei Medvedev"	0.243563
"Magui Serna"	0.243114
"Mark Philippoussis"	0.242745
"Magnus Gustafsson"	0.242159
"Sergi Bruguera"	0.24212
"Michael Chang"	0.240603
"Jennifer Capriati"	0.240268
"Amy Frazier"	0.237475
"Sarah Pitkowski"	0.234853
"South African Amanda Coetzer"	0.234439
Siemerink	0.232081
"Yayuk Basuki"	0.231706
"Tamarine Tanasugarn"	0.231652
"Kenneth Carlsen"	0.231187
"Fabrice Santoro"	0.230305
"Judith Wiesner"	0.229623
"Nicolas Lapentti"	0.22797
"Marat Safin"	0.227667
"Karim Alami"	0.227588
"Alberto Costa"	0.226064
"Younes El Aynaoui"	0.225613
"Petr Korda"	0.220308
"Neville Godwin"	0.218899
"Arnaud Clement"	0.218882
"Todd Woodbridge"	0.218793
"Andre Agassi"	0.218733
"Anne-Gaelle Sidot"	0.218519
"Tatiana Panova"	0.218312
"Jim Courier"	0.217106
"Sjeng Schalken"	0.216061
"Hicham Arazi"	0.214533
"Dominik Hrbaty"	0.214523
"Karina Habsudova"	0.213174
"Filip Dewulf"	0.212486
"Vincent Spadea"	0.21187
"David Prinosil"	0.211604
"Russian Yevgeny Kafelnikov"	0.211042
"Andrea Gaudenzi"	0.210426
"Nicolas Escude"	0.20995
"Scott Draper"	0.205786
"Leander Paes"	0.205128
"Hernan Gumy"	0.204521
"Paul Haarhuis"	0.204346
"Franco Squillari"	0.201927
"Kimberly Po"	0.199967
"Galo Blanco"	0.199565
"Michael Stich"	0.198896
"Christian Ruud"	0.197922
"American Todd Martin"	0.197587
"Naoko Sawamatsu"	0.196815
"MaliVai Washington"	0.196602
Sanchez-Vicario	0.196539
"Anne Kremer"	0.194848
"Australian Mark Philippoussis"	0.194102
"Rainer Schuttler"	0.193865
"Boris Becker"	0.192966
"Juan Antonio Marin"	0.192735
"Gianluca Pozzi"	0.192606
Hingis	0.191776
"Mariano Zabaleta"	0.191748
"Davide Sanguinetti"	0.19151
"Fernando Meligeni"	0.191223
"Guillaume Raoux"	0.191084
"Mark Woodforde"	0.190756
"Arnaud Di Pasquale"	0.190546
"Elena Dementieva"	0.188587
"Pat Rafter"	0.18828
"Mikael Tillstrom"	0.185762
Henman	0.185762
"Wayne Black"	0.18574
"Ramon Delgado"	0.1854
"Sanchez Vicario"	0.184096
"Miriam Oremans"	0.183834
"Sebastien Grosjean"	0.183793
Coetzer	0.183756
"Mirjana Lucic"	0.182047
"Brett Steven"	0.181994
"Javier Sanchez"	0.181839
"Jan-Michael Gambill"	0.181576
Seles	0.181216
"Corina Morariu"	0.181029
"Mark Knowles"	0.179879
"Florencia Labat"	0.179477
"Jerome Golmard"	0.179313
"Magnus Larsson"	0.178233
"Chris Woodruff"	0.177817
"Adrian Voinea"	0.176538
"Li Fang"	0.175313
"Jeff Tarango"	0.175234
"Renzo Furlan"	0.173152
"Martin Damm"	0.172878
"Cara Black"	0.172675
"Marcelo Filippini"	0.172306
"Alexandra Fusai"	0.171073
"Roger Federer"	0.171003
"Mahesh Bhupathi"	0.169673
Kafelnikov	0.1696
"Gong Zhichao"	0.168589
"Catalina Cristea"	0.168519
Dragomir	0.168246
"Juan Carlos Ferrero"	0.168153
"Rodney Eyles"	0.167161
"Sargis Sargsian"	0.166992
"Richey Reneberg"	0.166835
Davenport	0.16642
"Tara Snyder"	0.166276
Novotna	0.166041
"Andrei Pavel"	0.165231
"Justin Gimelstob"	0.16502
"Jonathan Stark"	0.164726
"Olga Barabanschikova"	0.163472
"Asa Carlsson"	0.162879
"Daniel Nestor"	0.161383
"Pete Sampras"	0.161087
Swardt	0.160501
Kuerten	0.160038
"Henrieta Nagyova"	0.158923
"Bohdan Ulihrach"	0.158625
Moya	0.158574
"Paola Suarez"	0.15809
"Peter Nicol"	0.157348
Majoli	0.157232
"Alex O'Brien"	0.155449
"Daniel Vacek"	0.154257
"Rita Grande"	0.153852
Corretja	0.15295
"Steve Campbell"	0.151432
"Julian Alonso"	0.151368
"Andreas Vinciguerra"	0.151202
"Kim Clijsters"	0.149605
"Lleyton Hewitt"	0.149494
"Nicole Pratt"	0.147264
"Jelena Dokic"	0.147201
Kroslak	0.146476
Agassi	0.145685
"American Michael Chang"	0.145402
"Michael Tebbutt"	0.145228
"Xavier Malisse"	0.143605
Pioline	0.1435
"Andrew Ilie"	0.142718
"Slava Dosedel"	0.142642
"Stefan Edberg"	0.142462
Mantilla	0.14196
"Sebastien Lareau"	0.140808
Kournikova	0.13984
"Ye Zhaoying"	0.139258
"American Andre Agassi"	0.138939
"Heryanto Arbi"	0.138541
Bjorkman	0.137347
Huber	0.136403
"Barbara Rittner"	0.136018
Tauziat	0.135953
Ivanisevic	0.135936
"John Van Lottum"	0.13585
"Peter Gade Christensen"	0.134283
Rusedski	0.133864
"Kristie Boogert"	0.133493
"Penny Heyns"	0.133332
"Kveta Hrdlickova"	0.13256
Capriati	0.131407
Krajicek	0.130427
"Vince Spadea"	0.130365
"Kong Linghui"	0.130309
Halard-Decugis	0.129838
"Jansher Khan"	0.129619
"Fung Permadi"	0.129111
"Camilla Martin"	0.128492
"Jiri Novak"	0.128158
"American Pete Sampras"	0.128052
"Wang Nan"	0.125462
Sugiyama	0.125399
rios	0.125337
Kucera	0.125312
Enqvist	0.124481
"Max Mirnyi"	0.123783
Stoltenberg	0.123747
Sampras	0.123212
"Jan-Ove Waldner"	0.122952
"Els Callens"	0.122068
"Alexandra Stevenson"	0.120477
"Briton Greg Rusedski"	0.119922
Mauresmo	0.119904
Berasategui	0.119644
"Nicklas Kulti"	0.118547
"Li Ju"	0.118496
"Denisa Chladkova"	0.118434
Philippoussis	0.118202
Rosset	0.118093
Ulihrach	0.11781
"Olivier Delaitre"	0.117293
"Helena Sukova"	0.116461
"Lori McNeil"	0.115899
"Jacco Eltingh"	0.115089
Hendrawan	0.115061
"Ong Ewe Hock"	0.114815
"Wang Liqin"	0.114491
"Zhang Ning"	0.114024
"Van Roost"	0.113935
Chang	0.113292
"Peter Rasmussen"	0.11326
"Dai Yun"	0.112433
"Chinese Taipei"	0.110808
"Vladimir Samsonov"	0.110471
Ferreira	0.11019
"Liu Guoliang"	0.109981
Zvereva	0.109607
"Mia Audina"	0.108706
"Andres Gomez"	0.107723
"Larisa Neiland"	0.107475
Korda	0.106303
Serena	0.105804
"Taufik Hidayat"	0.105531
Spirlea	0.104791
"Wang Shi-Ting"	0.104178
Safin	0.104107
"Guy Forget"	0.104025
Hrbaty	0.102978
"Jean-Philippe Gatien"	0.102824
Purdue	0.102542
Graf	0.102536
Habsudova	0.101808
"Czech Republic"	0.101379
Kiefer	0.101004
"Wang Chen"	0.100807
))
("Amani Toomer" (desc 1375.98) (sims
"Ike Hilliard"	0.314197
"Eric Moulds"	0.298936
"Rod Smith"	0.290594
"Chris Calloway"	0.286052
"Terance Mathis"	0.27545
"Oronde Gadsden"	0.275425
"Peerless Price"	0.261333
"Isaac Bruce"	0.244432
"Dedric Ward"	0.239443
"Torry Holt"	0.219318
"Terrell Owens"	0.21881
"Danny Farmer"	0.213611
"Ed McCaffrey"	0.21004
"Jimmy Smith"	0.206422
"Shawn Jefferson"	0.205921
"Yancey Thigpen"	0.194795
"Marvin Harrison"	0.194529
"Billy Davis"	0.194415
"Wayne Chrebet"	0.194412
"Tony Martin"	0.192302
"Carl Pickens"	0.192112
"Raghib Ismail"	0.190825
"Andre Rison"	0.185522
"Rob Moore"	0.183762
"Frank Sanders"	0.183299
"Tony Simmons"	0.181233
"Windrell Hayes"	0.180238
"Kevin Dyson"	0.178423
"Ernie Mills"	0.174897
"Andre Reed"	0.169208
"Cris Carter"	0.161155
"Dez White"	0.160358
"J.J Stokes"	0.15749
"Derrick Mayes"	0.157388
"R. Jay Soward"	0.157218
"Kevin Williams"	0.155169
"Antonio Freeman"	0.154326
"Tim Brown"	0.146659
"Jerry Rice"	0.140775
"Terry Glenn"	0.140338
"Tiki Barber"	0.140175
"Troy Brown"	0.139783
"Tim Dwight"	0.139407
"Keyshawn Johnson"	0.138918
"Marcell Allmond"	0.137039
"Wane McGarity"	0.136493
"James McKnight"	0.134758
"Michael Westbrook"	0.134675
Hilliard	0.133438
"Kareem Kelly"	0.133191
"Rocket Ismail"	0.132438
"Chris Taylor"	0.128677
"HERMAN MOORE"	0.127589
"Joey Galloway"	0.126177
"Robert Brooks"	0.124869
"Derrick Alexander"	0.121426
"David Boston"	0.121241
"Jeff Ogden"	0.121092
"Eric Metcalf"	0.111241
"Randy Moss"	0.110249
"Michael Irvin"	0.110198
Mathis	0.108888
"Jake Reed"	0.107785
"Lynn Swann"	0.106875
"Kevin Johnson"	0.102879
Gadsden	0.100242
Toomer	0.0998592
Galloway	0.0994729
Chrebet	0.099431
"David LaFleur"	0.0980148
Dawkins	0.0978724
"Russ Ortiz"	0.096894
"Shannon Sharpe"	0.0960281
"Charles Johnson"	0.0951435
"Vincent Brisby"	0.0938627
"Rae Carruth"	0.0935968
"Freddie Mitchell"	0.0935507
"Brian Poli-Dixon"	0.0924632
"Ben Coates"	0.0914931
"Jason Tucker"	0.0904147
"Mark Gardner"	0.0880219
Dwight	0.0842114
"O.J Santiago"	0.0821594
Faulk	0.0819658
McCaffrey	0.080062
Dyson	0.0797208
"Eric Bjornson"	0.0788403
"Peter Warrick"	0.0771679
Pickens	0.0770765
two-point	0.0763577
"Jermaine Lewis"	0.074683
"Danny Kanell"	0.0729827
"Bobby Brown"	0.0726192
"Jessie Armstead"	0.0707392
"three @-pointers"	0.0687963
"J.T Snow"	0.0684869
downfield	0.0678835
"Kirk Rueter"	0.0641089
"Robb Nen"	0.0639614
Irvin	0.0628062
"another @-pointer"	0.0627764
Watters	0.062663
"Kyle Brady"	0.06248
"Kent Graham"	0.0617591
"Skip Hicks"	0.060732
Ismail	0.0600832
"Gary Brown"	0.0599004
Reichel	0.0596628
Coates	0.0593703
"Shawn Estes"	0.0590511
"Charlie Hayes"	0.0576564
"two pitchers"	0.0573168
Loretta	0.057259
"Jason Sehorn"	0.0571376
"Kerry Collins"	0.0568382
"Bobby Newcombe"	0.0561871
"Steve Largent"	0.0561754
bluefin	0.0557641
"Drew Bennett"	0.0549392
"Alan Embree"	0.0549292
Longo	0.0549158
"Jimmy Oliver"	0.0549082
Jett	0.0548046
"hole in the ground"	0.0548015
"Phillippi Sparks"	0.054611
"Michael Strahan"	0.0544966
"Marvin Benard"	0.0543734
Beasley	0.0540282
"Juan Marichal"	0.0536244
"Shannon MacMillan"	0.0533801
"Tyrone Wheatley"	0.0532983
Kluivert	0.0532294
"Scott Thornton"	0.0531651
McGarity	0.0524815
Suppan	0.0524321
"Emmitt Smith"	0.0517022
Hightower	0.0516489
Laudrup	0.0513251
Leetch	0.050758
Brisby	0.0507354
goalpost	0.0507072
looker	0.0505722
"Leon Johnson"	0.0504454
Stumpel	0.050149
"Jason Elam"	0.0496397
"putty knife"	0.0495792
Difrancesco	0.0491539
"Fred Taylor"	0.0490648
LeClair	0.0481255
"skin cell"	0.047737
"Larry Centers"	0.0474339
Bordick	0.0471299
Stokes	0.0465397
"Dwight Clark"	0.0465169
shoplifter	0.0464405
"four @-pointers"	0.0463262
"F.P Santangelo"	0.0461922
"geographical area"	0.0458197
striper	0.0457433
Jeffers	0.0456915
slicing	0.0453209
Newsome	0.0452086
"Kenny Thomas"	0.0451676
"Ellis Burks"	0.0449851
"Brian Johnson"	0.0443761
Richter	0.0442268
McKnight	0.0440858
"John Taylor"	0.0440611
Cianci	0.0439997
Woolley	0.0437672
Solis	0.0437164
"Arturs Irbe"	0.0435998
"Mike Jones"	0.0433321
"Terry Allen"	0.0430682
"bank shot"	0.0429491
"Heath Irwin"	0.0427563
"Tony Carter"	0.0425832
"oil slick"	0.0425674
Wheatley	0.0424152
"San Franciscans"	0.0423061
Kohn	0.0421532
"Eddie Perez"	0.0418322
Ohioan	0.041821
Adkins	0.0417043
Schiff	0.0416632
"Bill Mueller"	0.0415409
"Phil Simms"	0.0414077
McDuffie	0.041114
Arron	0.0410948
"Red Bullet"	0.041089
"Rich Aurilia"	0.0410244
Carmichael	0.0409708
Marvin	0.0409664
Emanuel	0.0408722
flack	0.0406112
"Ante Razov"	0.040514
"Chris Johnson"	0.0403829
airball	0.0401383
Hollins	0.0401232
"Marco Etcheverry"	0.040074
))
(Amarillo (desc 4164.86) (sims
"College Station"	0.166239
Abilene	0.154868
Longview	0.153571
Lubbock	0.151614
"Corpus Christi"	0.148295
Odessa	0.138118
Laredo	0.134566
Nacogdoches	0.133468
Beaumont	0.132222
"San Angelo"	0.13221
"Wichita Falls"	0.129575
"New Braunfels"	0.124967
"Fort Worth"	0.123818
Texarkana	0.120571
Galveston	0.117179
Plano	0.117041
Bangor	0.115411
"El Paso"	0.115064
Morristown	0.114187
"San Antonio"	0.108798
Brownsville	0.108263
Shreveport	0.108041
Laramie	0.107958
Fredericksburg	0.107047
Killeen	0.106769
ASHEVILLE	0.106223
"Baton Rouge"	0.10292
Jasper	0.101354
Huntsville	0.101304
Harlingen	0.100927
Carrollton	0.100285
"Del Rio"	0.0985825
"West Palm Beach"	0.0977495
"Eagle Pass"	0.0975561
midland	0.0960784
Waco	0.0958086
Denton	0.0949386
Utica	0.09452
"Little Rock"	0.094138
Raleigh	0.0938354
Harrisburg	0.0929194
Austin	0.0926452
Albany	0.0918202
Poughkeepsie	0.0915604
Honolulu	0.0899461
"Round Rock"	0.0892741
Wilmington	0.0889553
Hillsboro	0.0883638
Arlington	0.0883195
Knoxville	0.0864468
Youngstown	0.0854952
Topeka	0.0850616
Lufkin	0.0842306
"Santa Fe"	0.0839765
Bedford	0.0835037
Albuquerque	0.0831495
"White Plains"	0.0830786
Gainesville	0.0829763
"Des Moines"	0.0829004
Greensboro	0.082722
Greenville	0.082402
Columbus	0.0821231
Urosevac	0.0819744
Akron	0.0819486
Charleston	0.0805783
"Port Arthur"	0.0800882
anchorage	0.0799294
Charlottesville	0.0789508
Memphis	0.0789339
Savannah	0.0787583
"Oklahoma City"	0.0786824
Tucson	0.0781591
Macoris	0.0778892
Rochester	0.0778049
Katy	0.0777097
Macon	0.0776721
Lakeland	0.0774972
Ensenada	0.077399
McAllen	0.0772486
TALLAHASSEE	0.0767431
Covington	0.0767285
Managua	0.0764881
"St. Petersburg"	0.0763936
Alpine	0.076368
"Saratoga Springs"	0.0763078
"Fort Lauderdale"	0.075984
"Santa Rosa"	0.075242
"Dutchess County"	0.0749368
Wichita	0.0746435
TEGUCIGALPA	0.0745411
"SIERRA BLANCA"	0.0743579
"Fort Collins"	0.0742621
"Myrtle Beach"	0.0740664
Dayton	0.0739809
TRENTON	0.0739223
"Grand Prairie"	0.0737614
"San Marcos"	0.0734585
Plattsburgh	0.0731048
Minneapolis	0.0729306
Belfast	0.0729046
Winston-Salem	0.072684
Spokane	0.072324
Richmond	0.0722991
Missoula	0.0719564
Omaha	0.0718039
Flagstaff	0.0717654
Yonkers	0.0713781
Tampa	0.0713403
"Fall River"	0.0712097
Mankulam	0.0711134
Nashville	0.0710943
Boise	0.0710686
"Port St. Lucie"	0.0710635
Alexandria	0.0707626
Middletown	0.0707211
"Guatemala City"	0.0706456
"New Orleans"	0.0706115
Newark	0.0705439
Americus	0.0702099
"Boynton Beach"	0.0701528
Charlestown	0.0698998
BOGOTA	0.0698255
"Chapel Hill"	0.0697939
Redding	0.0697105
Mosul	0.0696395
Guadeloupe	0.0691618
Juneau	0.0691496
Pensacola	0.0691452
Waterville	0.0691398
Louisville	0.0689888
Kismayu	0.0688128
"Daytona Beach"	0.0686552
"Suva Reka"	0.0681917
Worcester	0.0681758
"Atlantic City"	0.0677169
Irving	0.0673263
"Tarrant County"	0.0671704
Waterbury	0.0671556
Springfield	0.0670809
Acapulco	0.0670525
"Santa Monica"	0.066933
Paterson	0.0666628
Syracuse	0.0666413
Fresno	0.066542
"Las Vegas"	0.0665333
"Grand Rapids"	0.0665063
"La Paz"	0.0663231
"Santo Domingo"	0.0663136
Bridgeport	0.0662156
Pasadena	0.0662112
"Lake Worth"	0.066175
Fayetteville	0.066089
Tijuana	0.0658882
Pecos	0.0658506
Ithaca	0.0657377
"Twin Cities"	0.0656496
Watertown	0.0656462
Brunswick	0.0655965
Pittsfield	0.065372
Freeport	0.0652365
Marietta	0.0649451
"Key West"	0.0648443
Birmingham	0.0648308
Fairfax	0.0648108
Winnipeg	0.0647076
Chappaqua	0.0646252
Jacksonville	0.064601
Bryan	0.0644997
Augusta	0.0642696
"Thousand Oaks"	0.0641711
"Garden City"	0.0641177
Carthage	0.0640651
"New Bedford"	0.0639012
Concord	0.0638758
"New Haven"	0.063852
"Jackson County"	0.063679
Encino	0.0634646
Guadalajara	0.0634215
Bronx	0.0632084
Evanston	0.0631512
"Virginia Beach"	0.0629677
Hartford	0.0627453
Nogales	0.0627007
Naples	0.0625835
"Cape Town"	0.0624159
Tempe	0.0621831
Bloomington	0.061959
Matamoros	0.0618053
Hoboken	0.0617829
"Salt Lake City"	0.0617276
Dublin	0.0617147
Eureka	0.0616435
Lexington	0.0614556
Florence	0.0614467
Evansville	0.0613312
"Quebec City"	0.0613028
Tulsa	0.0612328
Aberdeen	0.0612031
"Fort Myers"	0.0611499
LAKEWOOD	0.0610294
))
(amaryllis (desc 1431.95) (sims
crocus	0.175955
daffodil	0.152566
tulip	0.134029
peony	0.13005
hibiscus	0.127472
Lantana	0.123364
geranium	0.116693
hyacinth	0.114638
impatiens	0.112377
Wisteria	0.109856
canna	0.109594
hydrangea	0.107917
led	0.107771
houseplant	0.106752
pansy	0.105733
lily	0.0991254
azalea	0.0985939
cactus	0.0910907
orchid	0.0873247
sedum	0.08588
enema	0.0857897
oleander	0.0844796
chrysanthemum	0.083954
wilting	0.0834747
desalination	0.0817126
dogwood	0.0793662
bougainvillea	0.0789708
"small white"	0.0786347
poinsettia	0.0773626
zinnia	0.0766345
seedling	0.0758904
camellia	0.0752672
Lotus	0.0720205
Magnolia	0.0718469
fuchsia	0.0704747
poppy	0.0703581
"morning glory"	0.0702194
heirloom	0.070044
hothouse	0.0690013
"sailing vessel"	0.068284
ballast	0.0666683
bauhinia	0.0652428
"fishing rod"	0.0647311
C@	0.0643381
hosta	0.0633979
carnation	0.0624308
plankton	0.0611405
varietals	0.0599612
rhododendron	0.0599583
lilac	0.0590335
dandelion	0.0589766
wildflower	0.0584917
marigold	0.0581257
agave	0.0581061
jasmine	0.0579901
weekender	0.0572603
zucchini	0.0565072
Iris	0.0560256
petunia	0.0547586
"Superintendent Ruben Zacarias"	0.0540468
gardenia	0.0535667
Viburnum	0.0534948
radish	0.0532241
fennel	0.0528556
transplanting	0.0527341
"vegetable garden"	0.0524534
"sweet corn"	0.0522828
bloomers	0.0521799
icicle	0.0512413
Maj.-Gen.	0.0509432
waterlily	0.0508749
tungsten	0.0506754
anemone	0.0506202
blossoming	0.0501216
"extra inning"	0.0496409
"herb garden"	0.0492055
fern	0.0490645
ragweed	0.0487574
"feather boa"	0.0476827
parasol	0.0464725
"large white"	0.0461377
Prius	0.0453943
turbogenerator	0.0452092
wastewater	0.0450174
origami	0.0445107
sapling	0.0443248
blotch	0.0439726
abalone	0.0439722
"beam of light"	0.0438411
pancreas	0.0438168
Zonolite	0.0433992
"about @@@,@@@ acres"	0.0428542
clematis	0.042848
bloomer	0.042845
"Johan Cruyff"	0.042481
"a few meters"	0.0423573
grapefruit	0.0422788
"about @ tablespoons"	0.042139
one-inch	0.0417134
boxwood	0.0415864
"Kosovar Albanian"	0.0414834
"day lily"	0.0414284
Quince	0.0413899
strikeforce	0.0413005
buckwheat	0.0410347
baguette	0.0409754
sorghum	0.0409122
"split end"	0.0407758
"boxing glove"	0.0406072
linoleum	0.0401676
gourd	0.0400389
))
(Amateur (desc 29549.2) (sims
professional	0.10837
golfer	0.107362
novice	0.093227
pro	0.0883055
athlete	0.0837634
swimmer	0.081753
champion	0.0777754
artist	0.0750469
teen-ager	0.0737024
musician	0.0733047
entrepreneur	0.0725688
"British Opens"	0.0721925
newcomer	0.0714218
senior	0.0709062
boxer	0.070124
sprinter	0.0700297
Masters	0.0698777
skier	0.0698531
volunteer	0.0690603
rookie	0.0689893
"hockey player"	0.0688031
gymnast	0.0684033
skater	0.0680807
hobbyist	0.0678148
freshman	0.0667619
freshmen	0.0664975
junior	0.0661787
Olympian	0.0658446
performer	0.0656152
student	0.065571
diver	0.0651318
"U.S. Amateur"	0.0650988
"British Open"	0.0646874
youngster	0.0646279
beginner	0.0642117
scholar	0.0639548
"Tiger Woods"	0.0636219
racer	0.0636095
outsider	0.0635772
climber	0.0626888
welterweight	0.0626494
scientist	0.0625558
collegian	0.0624803
kid	0.0624274
individual	0.0622448
designer	0.0620301
"tennis player"	0.0612072
chef	0.0611737
technician	0.0610167
teenager	0.0607736
"PGA Championship"	0.060723
Hunter	0.0606552
major	0.060654
pianist	0.0605324
journalist	0.0603791
"major leaguer"	0.0603554
dancer	0.0602896
European	0.0601597
actor	0.0600491
wrestler	0.0597576
rower	0.0595482
painter	0.0592236
runner-up	0.0589871
achiever	0.0589401
enthusiast	0.0587415
"college student"	0.0584459
guy	0.0584403
academic	0.0582608
"U.S. Open"	0.0582539
collector	0.0579497
sculptor	0.0577346
writer	0.0575298
lightweight	0.0575139
"US Open"	0.0575086
"volleyball player"	0.0574168
filmmakers	0.0571555
angler	0.0569713
rider	0.0569309
Programmer	0.056582
spectator	0.0565717
"basketball player"	0.0564632
veteran	0.0564614
engineer	0.0563481
caddie	0.0561659
winner	0.0559955
All-stars	0.0558962
photographer	0.055761
competitor	0.0556798
"chess player"	0.0556307
actress	0.0552045
bikers	0.0551583
sailor	0.0551311
"hockey team"	0.0547656
researcher	0.0547467
"sports fan"	0.0546456
champ	0.0546221
graduate	0.054364
businessmen	0.0543199
footballer	0.0542509
championship	0.0542104
finalist	0.0541512
archeologist	0.054103
"young man"	0.0539997
tournament	0.0539872
marathoner	0.0539831
heavyweight	0.0538732
folk	0.0538477
"graduate student"	0.0537438
Wimbledon	0.0537238
hacker	0.0536394
PGA	0.0535869
politician	0.0533966
jockey	0.0533834
astronomer	0.0533239
buff	0.0531701
shopper	0.0530946
investor	0.0530189
entertainer	0.0530068
quarterback	0.0528235
Opens	0.0526696
runner	0.0526159
gardener	0.0522099
overachiever	0.052178
teacher	0.0521539
Reader	0.0520953
pitcher	0.0520099
cyclist	0.0520029
"role player"	0.0519951
sophomore	0.051978
composer	0.0519732
insider	0.05189
Australian	0.0518402
contestant	0.0517923
educator	0.0517811
soccer	0.0517383
filmmaker	0.0517309
driver	0.0517097
tourist	0.0516986
inventor	0.0516738
Explorer	0.0515465
bodybuilder	0.0514615
Olympic	0.0513287
farmer	0.0511907
gambler	0.0511888
singer	0.051093
semifinalist	0.0510123
specialist	0.0509869
underdog	0.0509657
"minor leaguer"	0.0508906
shooter	0.050755
consumer	0.0507507
missionary	0.0503157
visitor	0.0501703
hiker	0.0499714
grader	0.0499388
starter	0.04967
comedian	0.0496191
historian	0.0495599
Spaniard	0.0494574
"public servant"	0.0493468
"business executive"	0.0490962
finisher	0.0489839
"European Cup"	0.0489677
Englishman	0.0489362
favorite	0.0489203
pilot	0.0488449
doctor	0.0487975
"World Cup"	0.0486904
traveler	0.0486874
"baseball player"	0.0486226
Playwright	0.0486
jogger	0.0485954
adventurer	0.048582
idealist	0.0485681
apprentice	0.0485603
"football player"	0.0485203
golf	0.048503
physicist	0.0485014
"Ryder Cup"	0.0484679
girl	0.0484331
user	0.0483373
middleweight	0.0482689
"U.S. Opens"	0.0482048
Mexican	0.0481816
men's	0.0481054
academician	0.0479455
Canadian	0.047818
underachiever	0.0478158
developer	0.0477762
female	0.0477699
balloonist	0.0477442
citizen	0.0477393
"university student"	0.0477304
choreographer	0.0477133
"basketball team"	0.0476514
architect	0.0476279
upstart	0.0475166
trophy	0.0474834
filly	0.0474646
adult	0.0473925
))
(amateurism (desc 1218.77) (sims
"Title IX"	0.0638788
confidentiality	0.0607016
self-indulgence	0.0604822
reciprocity	0.0602703
exclusivity	0.0588947
unreality	0.0581754
Whiteness	0.0579543
eugenics	0.0571476
celibacy	0.0570066
"moral hazard"	0.0566792
"Anlong Veng"	0.055663
"Word of God"	0.0548114
sportsmanship	0.0543141
regionalism	0.0535332
humanitarianism	0.0527747
workfare	0.0518869
"natural law"	0.0501503
goofiness	0.0501402
zoning	0.0493584
criminality	0.0492253
monogamy	0.0490416
federalism	0.0490167
lunacy	0.0479027
internationalism	0.0475828
"civil liberty"	0.0474975
Intelsat	0.0471411
chauvinism	0.0465247
"collective security"	0.0460012
"parliamentary democracy"	0.0459099
"safe harbor"	0.0458719
remodeling	0.0456802
frugality	0.0453451
"wonder drug"	0.0452923
syntax	0.0452482
womanhood	0.045234
"pork barrel"	0.0451341
three-decade	0.0437633
lockbox	0.0437245
"female body"	0.0436488
"common law"	0.0435212
suitability	0.0432363
"Olympic Movement"	0.0432229
"Jose Luis Chilavert"	0.0431914
nonviolence	0.0423044
"natural selection"	0.0418582
tort	0.0418072
"International Skating Union"	0.0417578
"television revenue"	0.041532
ISU	0.0412897
objectivity	0.0411542
TMD	0.0406646
cowardice	0.0406518
"aircraft engine"	0.0401318
"shareholder value"	0.0400724
))
(Amato (desc 2771.1) (sims
D'Alema	0.164669
Koirala	0.143971
Deuba	0.132372
Prodi	0.131712
Kabariti	0.131533
Ecevit	0.13119
Chuan	0.126152
Bondevik	0.121813
Jospin	0.12081
Nemtsov	0.119885
Juppe	0.119676
Kostov	0.119522
Rawabdeh	0.119192
Nano	0.117054
Chaudhry	0.114312
Rodionov	0.114014
Talebi	0.113817
Pustovoitenko	0.113678
Fino	0.110712
Chavalit	0.109843
Passarella	0.109207
Jayakumar	0.108409
Djukanovic	0.10835
Stepashin	0.108184
Ikimi	0.107106
Ciampi	0.107005
Erbakan	0.106001
Bulatovic	0.104891
Tarawneh	0.104273
Guterres	0.104033
"Chief Executive Tung Chee-hwa"	0.103775
Banharn	0.103663
Dehaene	0.103634
Gowda	0.101852
Buzek	0.101832
Kasoulides	0.101637
Wahid	0.10031
Klaus	0.100138
Klima	0.100054
Shamshad	0.0999435
"de Charette"	0.0999316
Aznar	0.0997289
Kiriyenko	0.0996569
Hasina	0.0996529
Beilin	0.0995552
Nujoma	0.0995324
Bouchard	0.0989211
Rau	0.0988343
Lipponen	0.0987933
Meguid	0.0986633
Rifkind	0.0981141
Schroeder	0.0979762
"Pandeli Majko"	0.097903
Wolfensohn	0.0978824
Majali	0.0970195
Moratinos	0.0968848
Ahern	0.0967169
Bruton	0.0964156
Gujral	0.0961211
Bhattarai	0.0956845
Bildt	0.0948417
Chissano	0.0946369
Katsav	0.0944224
Abdel-Meguid	0.0943392
Zuma	0.0935857
Obuchi	0.0933521
Severino	0.0931284
Chretien	0.0931196
Solich	0.0930538
Insulza	0.0929916
Dini	0.092603
Obasanjo	0.0924113
Hariri	0.0920115
Hoss	0.0919351
Simitis	0.0919042
"Ricardo Lagos"	0.0917962
"Lionel Jospin"	0.0915365
Chubais	0.0908811
Shevardnadze	0.0908367
Koehler	0.0908013
Buthelezi	0.0905225
Noboa	0.0901786
Primakov	0.0898777
Masire	0.0895328
Chand	0.0894974
Ikeda	0.08926
Arens	0.0887247
Gilman	0.0885417
Danforth	0.0884808
Kok	0.0884688
Ruehe	0.0884651
Hashimoto	0.0884533
Yilmaz	0.0884077
Azizah	0.0882205
Cardoso	0.0882162
Komura	0.0878804
Gullit	0.0878554
Aleman	0.08761
"Romano Prodi"	0.087515
Velayati	0.087032
"Bernard Sanders"	0.0869801
"Bashkim Fino"	0.0869279
Murayama	0.0867101
Siazon	0.0866933
"John Anderson"	0.0864484
Alatas	0.0861628
"Deve Gowda"	0.0860987
Vajpayee	0.0858429
Chirac	0.0856922
Schuessel	0.0856536
Kouchner	0.0855471
Supachai	0.0854668
McCurry	0.0853519
Mkapa	0.08535
Weizman	0.0852949
Mori	0.0851147
Jovanovic	0.0849161
Abubakar	0.0848748
Schmid	0.0845656
Clerides	0.084515
Tsang	0.0842004
"Krishna Prasad Bhattarai"	0.0838276
Brundtland	0.0836379
MIYAZAWA	0.0834898
Tung	0.0834796
Stroyev	0.0833733
Nickerson	0.0833147
Stoyanov	0.0831858
hodgson	0.0830753
Westendorp	0.082913
Okada	0.0827536
O'Reilly	0.0827313
Klestil	0.0826635
Kinkel	0.0825372
"Robert Aventajado"	0.0825042
"Chuan Leekpai"	0.0823435
"Yoshiro Mori"	0.0821306
Ahtisaari	0.0819443
Brittan	0.0819362
Berlusconi	0.0818877
Dodik	0.0817829
Malu	0.0817202
Aventajado	0.0815913
Azad	0.0815604
Rafsanjani	0.0813153
Meciar	0.0811888
Rua	0.0810642
Shipley	0.0810416
Venables	0.0810387
Ratner	0.0808845
Benazir	0.080825
Bhutto	0.0807162
Singson	0.0805608
Zou	0.0805072
Kasyanov	0.0802301
Leghari	0.0801401
Jia	0.0800498
Orban	0.079982
Kuchma	0.0798197
Howard	0.0798046
Verniero	0.0798
Santer	0.0797614
Shareh	0.0797083
Zeng	0.0796707
Erekat	0.0794432
Blair	0.0794059
Piot	0.0793019
Neilson	0.0791577
D'Alessandro	0.0790729
Bolger	0.078964
Silas	0.0789424
Banzer	0.0782603
Nzo	0.0780903
Peres	0.0780468
Gaston	0.078037
Mustafa	0.0779422
Levitt	0.0777299
Husseini	0.0774943
Majko	0.0774516
Nazarbayev	0.077364
Mordechai	0.0772815
Estrada	0.0771642
"Jerzy Buzek"	0.0771188
"Secretary General Esmat Abdel-Meguid"	0.0770342
Nasrallah	0.0770213
Chiluba	0.0769769
Chernomyrdin	0.0766937
Vasile	0.0765719
"Bulent Ecevit"	0.0765522
Meles	0.076229
Prueher	0.0761787
Aziz	0.0761235
"Benazir Bhutto"	0.0760808
Zambrano	0.0759825
Blatter	0.0759208
Rakhmonov	0.075868
Museveni	0.075845
Chevenement	0.0758203
Alarcon	0.0757768
"John Howard"	0.0755545
))
(amazement (desc 9714.17) (sims
disbelief	0.222453
astonishment	0.21642
dismay	0.199187
bewilderment	0.167237
awe	0.159488
exasperation	0.136949
consternation	0.133155
chagrin	0.12953
delight	0.125514
puzzlement	0.124062
wonderment	0.123679
horror	0.122815
amusement	0.122154
disgust	0.122105
admiration	0.121877
sadness	0.103702
indignation	0.0999409
annoyance	0.0980781
despair	0.0971124
disappointment	0.0924765
glee	0.0920238
frustration	0.0913923
bemusement	0.0900023
envy	0.0888334
disdain	0.0866959
anger	0.0853309
irritation	0.0827876
regret	0.0817714
dread	0.0812402
satisfaction	0.0801629
incredulity	0.0784926
outrage	0.0776691
anguish	0.0775412
elation	0.07641
trepidation	0.0748282
revulsion	0.074435
grief	0.074194
weariness	0.0725832
pity	0.0720899
sorrow	0.0715444
pride	0.0712711
joy	0.0712273
displeasure	0.0703471
apprehension	0.0696243
excitement	0.0691186
sympathy	0.0685347
bitterness	0.0684935
alarm	0.0681891
confusion	0.0679939
exhilaration	0.067695
contempt	0.0673621
fascination	0.0651317
anxiety	0.0645007
Distress	0.0644814
embarrassment	0.064177
remorse	0.0637081
pleasure	0.0635372
skepticism	0.0632687
curiosity	0.0631899
perplexity	0.0631183
sarcasm	0.0617251
fury	0.0608199
terror	0.0601954
shame	0.059903
happiness	0.05959
discomfort	0.0594559
unison	0.0586447
foreboding	0.0586072
disillusionment	0.0583777
repulsion	0.058223
enthusiasm	0.0578477
desperation	0.0576137
pique	0.0562517
resentment	0.0559724
disquiet	0.0557743
jubilation	0.0557717
scorn	0.0554186
affection	0.0550909
appreciation	0.0543153
distaste	0.0537278
"sense of shame"	0.0533052
powerlessness	0.053221
disapproval	0.0531112
reverence	0.0531017
anticipation	0.0527377
uneasiness	0.052691
gratitude	0.0520633
Exhaustion	0.0520482
adoration	0.0518218
emotion	0.0511456
suspicion	0.0510467
dissatisfaction	0.0508346
helplessness	0.0505722
wariness	0.0503946
fatalism	0.0503734
optimism	0.0492565
pandemonium	0.0477713
panic	0.0476026
unease	0.0473024
impatience	0.0468781
contentment	0.0467869
longing	0.0466987
nostalgia	0.0466737
earnestness	0.0465566
bereavement	0.0463805
rapture	0.0463599
contrition	0.0461156
laughter	0.0460332
unhappiness	0.0456811
hopelessness	0.0451879
detriment	0.0450972
ambivalence	0.0448451
condescension	0.044835
distrust	0.0446017
suspense	0.0442915
boredom	0.0440874
loathing	0.0437819
eagerness	0.043731
melancholy	0.0436705
discontent	0.0435526
disenchantment	0.0433527
agony	0.0432462
ire	0.0429374
scepticism	0.0424464
titillation	0.0423042
contemplation	0.042003
nervousness	0.0406108
ignorance	0.040491
derision	0.0403932
"guardian angel"	0.0403113
Innocence	0.0402204
mirth	0.0402009
misgiving	0.0400363
))
("Amazing Grace" (desc 1641.67) (sims
"Star-Spangled Banner"	0.252691
"Happy Birthday"	0.184371
"national anthem"	0.143299
dirge	0.125644
"Christmas carol"	0.123124
Lullaby	0.121901
psalm	0.117733
Carol	0.114137
Dixie	0.107665
"Lord's Prayer"	0.0971438
anthem	0.0923695
"folk song"	0.0907344
hymn	0.0903503
"Symphony No. @"	0.0902362
taps	0.0863783
"musical chair"	0.0855113
cappella	0.0851485
videogames	0.0834565
Turandot	0.0820203
recitative	0.0816161
ballad	0.0809059
bagpipe	0.079919
"Dirty Bird"	0.079736
Samson	0.0794179
Isolde	0.0783278
"chamber music"	0.0780457
"Peony Pavilion"	0.0779358
"a few lines"	0.0733256
ditty	0.073024
blackbird	0.0726661
Tristan	0.0716302
Aria	0.0701442
"theme song"	0.0679652
"Fifth Symphony"	0.0679554
Susanna	0.0671002
karaoke	0.0666632
Porgy	0.0660536
cantata	0.066037
croquet	0.063881
bolero	0.0634464
Aida	0.0633642
saxophone	0.0629305
solitaire	0.0624123
Salome	0.0608624
"Peter Pan"	0.0602013
capella	0.0598527
Tosca	0.0594677
jingle	0.0593228
Rhapsody	0.0590075
Otello	0.0589267
"La Traviata"	0.0585745
Marguerite	0.0574919
Lucia	0.0570433
stanza	0.0563842
Requiem	0.0560555
Chorale	0.055494
banjo	0.0552073
Nutcracker	0.0549092
"second fiddle"	0.0546212
fugue	0.0545236
"LA BOHEME"	0.0544465
"American Pie"	0.0544359
Verdi	0.0542613
"Wonderful World"	0.0541754
recital	0.0539235
"King Lear"	0.0537877
Fantasia	0.0536441
"title role"	0.0535769
Blanche	0.0535673
"Sweeney Todd"	0.0534195
Mimi	0.053386
"Swan Lake"	0.0524712
Othello	0.0522855
"Liberty Bell"	0.0519676
Mozart	0.0515674
til	0.0514624
"chorus line"	0.0510986
"William Shakespeare"	0.0509683
"Don Quixote"	0.0502192
oldies	0.05014
Koran	0.050118
roulette	0.0497978
"ball game"	0.0490717
"folk music"	0.0489566
encore	0.0485689
Sax	0.0482651
Gershwin	0.048153
"acoustic guitar"	0.0477091
concerto	0.0474384
"waiting game"	0.0474295
"popular music"	0.0472106
"theatrical production"	0.047189
Sethe	0.0471792
gotcha	0.0471551
Bess	0.0469905
Romeo	0.0468749
Vivaldi	0.046396
blackjack	0.0463918
"Tom Jones"	0.0457637
Countess	0.0455386
Carmen	0.0454672
"musical instrument"	0.0454507
Spielman	0.0452506
"shell game"	0.0451121
Schubert	0.0450561
ole	0.0445254
clarinet	0.044481
Mahler	0.0443809
Susannah	0.0442516
"Don Giovanni"	0.0442002
RealPlayer	0.0441764
Tchaikovsky	0.044099
"UNIX operating system"	0.0440608
Scrabble	0.0440211
Rigoletto	0.0440181
Messiah	0.043742
"Oscar Wilde"	0.0436351
Faust	0.0436237
"Anna Karenina"	0.0435541
Brando	0.0435276
IE	0.0431037
HIV-@	0.0429605
"Obi-Wan Kenobi"	0.0428299
Adele	0.0425152
"professional basketball"	0.0425089
"Home Run Derby"	0.0424484
Torah	0.0424216
bagpiper	0.0424039
Evita	0.0423829
Beethoven	0.0423795
"R&AMP;B"	0.0423045
"Act @"	0.0422089
ping-pong	0.0418468
Stardust	0.0413654
lulu	0.041281
hobo	0.0410759
Berlioz	0.040743
hypnosis	0.0406479
puritanism	0.0406441
"Old Testament"	0.0404345
"Brian Wilson"	0.0403949
"steel guitar"	0.0403698
"Tina Turner"	0.0401774
"Microsoft Windows"	0.0401335
Scrooge	0.0400961
))
(Amazon (desc 27445.4) (sims
Amazon.com	0.216172
eBay	0.142586
CDnow	0.140266
Priceline	0.137942
Buy.com	0.131284
eToys	0.126301
Yahoo	0.124609
excite	0.121099
Barnesandnoble.com	0.120837
Compaq	0.11724
Lycos	0.116711
ETrade	0.116011
Priceline.com	0.115804
Schwab	0.11554
MindSpring	0.115008
EMC	0.114412
Cisco	0.112556
"Barnes &AMP; Noble"	0.112122
Dell	0.111925
E-Trade	0.111355
AOL	0.109033
"America Online"	0.106694
Intel	0.105407
RJR	0.102866
Inktomi	0.102207
oracle	0.101748
CNET	0.1011
Wal-Mart	0.100732
ExciteAtHome	0.100649
DoubleClick	0.0988314
IBM	0.0984598
"P&AMP;G"	0.0976915
RealNetworks	0.0976672
Microsoft	0.0970688
"Home Depot"	0.0969777
BellSouth	0.0961329
"Bell Atlantic"	0.0959319
Mattel	0.0952342
SBC	0.0950446
EarthLink	0.0950401
Webvan	0.0941484
MP@.com	0.0939006
Netscape	0.0936567
CMGI	0.0930077
GeoCities	0.0929168
Checkfree	0.0926847
TYCO	0.0914131
Gillette	0.0913287
Akamai	0.0911274
AutoNation	0.0908688
"Amazon.com Inc."	0.0902054
HP	0.0899742
Raytheon	0.0898352
Motorola	0.0897204
Aetna	0.089638
Amgen	0.0895062
"Rite Aid"	0.088903
Qwest	0.0887811
Monsanto	0.0886777
"MCI WorldCom"	0.0883807
Peapod	0.0882567
Lucent	0.0879908
Boeing	0.0878863
Kodak	0.0876167
Mannesmann	0.0872193
GTE	0.0871675
Nortel	0.0869755
Fingerhut	0.0868308
Genentech	0.0863353
Bertelsmann	0.085488
McKesson	0.0853598
"Johnson &AMP; Johnson"	0.0853489
"Time Warner"	0.0852698
Xerox	0.0847036
"Gap Inc."	0.0845584
Qualcomm	0.0844288
CNN.com	0.0842568
Hewlett-Packard	0.0841095
iVillage	0.084024
AltaVista	0.0838144
Reel.com	0.0836664
WorldCom	0.0835334
Kmart	0.0833103
Toysmart.com	0.0827248
Sunbeam	0.0827163
Disney	0.082652
AMR	0.082386
GoTo.com	0.0822866
Staples	0.0821595
Penney	0.0818384
Merrill	0.0817378
"Deutsche Telekom"	0.0816194
Infoseek	0.0814812
Starbucks	0.0813068
Nextel	0.0810569
Pepsico	0.0810193
Goldman	0.0808261
Healtheon	0.0804168
Pfizer	0.080368
Cendant	0.0803571
SGI	0.0798946
Hasbro	0.0796929
Livent	0.0796444
Polaroid	0.0794789
bookseller	0.0790384
Ciena	0.0788701
E-LOAN	0.0787773
ZDNet	0.0787445
GM	0.0785442
"Dell Computer"	0.0782724
"Stride Rite"	0.0777173
Genzyme	0.0776908
XYLAN	0.0776837
Intuit	0.0776809
"JDS Uniphase"	0.0776557
Sepracor	0.0775215
AIG	0.0774914
Broadcast.com	0.0774712
Vodafone	0.0772608
Biogen	0.0770918
WebMD	0.077005
Dupont	0.0767746
Unilever	0.0766728
"Cisco Systems"	0.0766671
fidelity	0.0765037
Ge	0.0765001
PEOPLESOFT	0.0763763
"BP Amoco"	0.0761644
Drugstore.com	0.0760286
Delphi	0.0759392
"Wells Fargo"	0.0757005
retailer	0.0756853
CompUSA	0.0756327
delta	0.0754625
ALZA	0.0753987
REVLON	0.075316
"Global Crossing"	0.0752009
"Toys R Us"	0.0751337
"Apple Computer"	0.0748867
"Sun Microsystems"	0.0748408
Halliburton	0.07482
Seagram	0.0748036
"Network Solutions"	0.0746652
"Dell Computer Corp."	0.07452
GANNETT	0.0745172
coke	0.074075
NORTHROP	0.0738332
AmeriTrade	0.073814
"U S West"	0.073807
"Lockheed Martin"	0.073633
Citigroup	0.0735389
Corning	0.0735213
Federated	0.0734956
Cerent	0.0734012
BofA	0.0733083
"Microsoft Corp."	0.073209
Providian	0.0730096
"American Home"	0.0726515
Alcoa	0.0723914
AMC	0.0723184
Starwood	0.0722863
"News Corp."	0.0722531
N@K	0.0721731
Coca-Cola	0.0721609
PLDT	0.071907
Scientific-Atlanta	0.0718292
"Learning Co."	0.0717449
Honeywell	0.0717276
"Boston Scientific"	0.0717039
"Procter &AMP; Gamble"	0.0715805
Healtheon/WebMD	0.0715612
Walmart	0.0714434
Vivendi	0.071215
UAL	0.071155
Lockheed	0.0711181
NIKE	0.0710747
"Cox Communications"	0.0708852
Sears	0.0707071
Exxon	0.0706559
"Philip Morris"	0.0704686
Reebok	0.0704539
Daimler	0.0703449
Expedia	0.0702129
"Charles Schwab"	0.0700743
SmithKline	0.0697691
"U.S. Trust"	0.0696937
Sony	0.0696021
"Ask Jeeves"	0.0695959
MCI	0.0694588
UBS	0.0694423
NetZero	0.069422
Ford	0.069292
Travelocity	0.0689707
"National Grid"	0.0689226
"Tribune Co."	0.0688834
Toysmart	0.0688451
"Niagara Mohawk"	0.0687072
DaimlerChrysler	0.0686462
Verizon	0.0685873
"Red Hat"	0.0683666
))
(Amazon.com (desc 43791.4) (sims
Amazon	0.216172
eBay	0.192438
Yahoo	0.189963
"America Online"	0.181858
Barnesandnoble.com	0.178846
Lycos	0.164199
CDnow	0.162602
"Amazon.com Inc."	0.153555
"Cisco Systems"	0.153214
eToys	0.148784
"Dell Computer"	0.14749
Intel	0.14691
Priceline.com	0.145897
IBM	0.144163
Buy.com	0.143303
excite	0.137147
Wal-Mart	0.136509
AOL	0.135041
"Barnes &AMP; Noble"	0.133771
ETrade	0.132571
"Sun Microsystems"	0.131536
Microsoft	0.128585
"American Express"	0.128384
RealNetworks	0.124447
Cisco	0.123642
oracle	0.121946
Compaq	0.121357
Hewlett-Packard	0.121324
Dell	0.119349
"Home Depot"	0.118381
CMGI	0.11506
CNET	0.113553
EMC	0.113051
Qualcomm	0.113021
MindSpring	0.112832
"JDS Uniphase"	0.112519
Motorola	0.111878
Netscape	0.109053
Infoseek	0.108783
Kmart	0.107853
"General Electric"	0.103322
GeoCities	0.103116
Priceline	0.102983
"Microsoft Corp."	0.10281
"Charles Schwab"	0.102725
"Dell Computer Corp."	0.102366
Reel.com	0.102261
"Time Warner"	0.102206
WorldCom	0.102176
"Lucent Technologies"	0.100357
DoubleClick	0.100137
Coca-Cola	0.100136
EarthLink	0.0997
Sears	0.0995442
Citigroup	0.0989686
Drugstore.com	0.0979426
retailer	0.0977376
Schwab	0.0977076
"Apple Computer"	0.0974995
"MCI WorldCom"	0.0969297
"America Online Inc."	0.095992
AltaVista	0.0959724
Lucent	0.0959502
Intuit	0.0956528
Inktomi	0.0951617
MP@.com	0.0948423
Starbucks	0.0948289
"Johnson &AMP; Johnson"	0.0948238
Webvan	0.0935154
Disney	0.0931595
Peapod	0.0930249
"Procter &AMP; Gamble"	0.0929764
CompUSA	0.092065
MSN	0.0918239
"Netscape Communications"	0.0913508
Kodak	0.0903569
Boeing	0.0899837
Walmart	0.0898894
Nortel	0.0890595
E-Trade	0.0890149
bookseller	0.0889932
Inc.	0.0887145
GoTo.com	0.0885162
"Bell Atlantic"	0.0881713
Qwest	0.0880599
CNN.com	0.0875721
"Intel Corp."	0.0869606
Halliburton	0.0847904
BellSouth	0.0847438
Portal	0.0846247
company	0.0844869
"General Motors"	0.0844259
Pfizer	0.0842061
"News Corp."	0.0837076
Staples	0.0836189
E-LOAN	0.0835734
Novell	0.083522
Checkfree	0.0834424
"Toys R Us"	0.0834233
Vodafone	0.0819012
"Philip Morris"	0.0818896
Monsanto	0.0813628
SBC	0.0810746
MCI	0.0808464
"Applied Materials"	0.0807815
Sony	0.080685
Toysmart.com	0.0802153
UAL	0.0800922
Broadcast.com	0.0797617
Merck	0.0797022
McKesson	0.0793815
Mattel	0.0791498
Ericsson	0.0790984
"Compaq Computer"	0.0788237
WebMD	0.0785786
ExciteAtHome	0.0780527
"Circuit City"	0.078029
"Silicon Graphics"	0.0780104
iVillage	0.0780086
Bertelsmann	0.0779648
"Network Solutions"	0.0777097
NIKE	0.0777024
Dupont	0.0776297
"Deutsche Telekom"	0.0775759
"Texas Instruments"	0.0774183
Healtheon	0.0774168
Ciena	0.0773539
TheStreet.com	0.0771154
Xerox	0.0765591
Gillette	0.0762991
"Lycos Inc."	0.0762658
HP	0.0762504
Amgen	0.0761925
"BP Amoco"	0.0759438
"Alta Vista"	0.075763
GTE	0.0757485
Nextel	0.0756469
"Netscape Communications Corp."	0.0749528
QVC	0.0745467
Pets.com	0.0745337
ZDNet	0.0744623
"Compaq Computer Corp."	0.0743408
Akamai	0.0741789
theglobe.com	0.0741374
"J.P. Morgan"	0.0739841
"Walt Disney Co."	0.0738786
"Rite Aid"	0.0738404
Costco	0.0736198
"Oracle Corp."	0.0735995
DrKoop.com	0.0733872
"J.C. Penney"	0.0733565
RJR	0.0732903
Comcast	0.072413
Exxon	0.0722834
"Learning Co."	0.0721427
Aetna	0.0721086
Alcoa	0.0720855
Mannesmann	0.0720816
Chevron	0.0720321
Genentech	0.0717953
"Wal-Mart Stores Inc."	0.0710831
bookstore	0.0709524
CompuServe	0.0708823
"Fidelity Investments"	0.0708611
"Computer Associates"	0.0708609
Gateway	0.0708132
"Sun Microsystems Inc."	0.0707985
Softbank	0.0707323
"Hewlett-Packard Co."	0.0706203
TYCO	0.070579
DaimlerChrysler	0.0700568
Travelocity	0.069159
Vivendi	0.0690031
site	0.0686792
TELLABS	0.0680423
SGI	0.0680207
Honeywell	0.0679013
"International Paper"	0.0676992
Sunbeam	0.0674841
GO.com	0.067363
startup	0.067223
AmeriTrade	0.0666249
"Merrill Lynch"	0.066319
"Ford Motor Co."	0.0662204
Nordstrom	0.0660775
"Delta Air Lines"	0.0660448
"Hewlett Packard"	0.0657891
Telefonica	0.0656531
Chrysler	0.0656483
Livent	0.0655351
"Gap Inc."	0.0655058
"Time Warner Inc."	0.0655055
Cendant	0.0654921
"Coca-Cola Co."	0.0653345
ALZA	0.0653142
firm	0.0653048
"Best Buy"	0.0650999
Unilever	0.0650482
"Southwest Airlines"	0.0649268
"Wal-Mart Stores"	0.0649264
))
("Amazon.com Inc." (desc 1643.7) (sims
Amazon.com	0.153555
Barnesandnoble.com	0.137462
CDnow	0.123229
"Yahoo Inc."	0.121794
Pets.com	0.117635
Reel.com	0.116835
"Sun Microsystems Inc."	0.115191
Priceline.com	0.114104
"Wal-Mart Stores Inc."	0.112107
Toysmart.com	0.108934
"toy retailer"	0.10557
Carrefour	0.103584
Inc.	0.101137
"Charles Schwab Corp."	0.100942
"Circuit City"	0.0990811
"Barnes &AMP; Noble"	0.0989066
Boo.com	0.0957733
Drugstore.com	0.0944792
Buy.com	0.0923129
N@K	0.0910142
Amazon	0.0902054
"Lucent Technologies Inc."	0.0862197
CompUSA	0.0856708
eToys	0.084018
Travelocity	0.0808012
"SBC Communications Inc."	0.0802179
"brokerage unit"	0.0770796
Salon.com	0.076122
"America Online Inc."	0.076058
ETrade	0.0759623
"Staples Inc."	0.0756661
"Microsoft Corp."	0.0743749
"EMC Corp."	0.0730436
Staples	0.0728439
"Netscape Communications"	0.0726834
"Qualcomm Inc."	0.0705108
"Best Buy"	0.0704451
"Oracle Corp."	0.0702634
ICQ	0.0692926
"Lycos Inc."	0.0690502
"Time Warner Inc."	0.0680511
"Eastman Kodak Co."	0.0669328
Walmart	0.0659771
"Compaq Computer Corp."	0.0649531
ABCNews.com	0.0641448
zine	0.0640792
classifieds	0.0639334
"Xerox Corp."	0.0638425
Daimler-Chrysler	0.0626333
"Hewlett-Packard Co."	0.0621751
"Enron Corp."	0.0620431
Peapod	0.06155
Sears	0.0614014
discounter	0.0612656
ZDNet	0.0611707
"IBM Corp."	0.060952
"Sony Corp."	0.0605524
"Hyundai Group"	0.0597612
"Sprint Corp."	0.0596857
grocer	0.0591256
"Aetna Inc."	0.0589956
florist	0.0579813
COS.	0.0575518
"Netscape Communications Corp."	0.0574848
"Nortel Networks Corp."	0.0569716
"MCI Worldcom Inc."	0.0568823
MarketWatch.com	0.056131
"Electronic Arts"	0.0560827
"Applied Materials"	0.0560381
"Coca-Cola Co."	0.0556394
"Nippon Telegraph"	0.0556039
"Intel Corp."	0.0555903
"Vodafone Airtouch PLC"	0.0551109
chipmakers	0.0544995
"toy store"	0.0541474
"Barneys New York"	0.0540154
"retail operation"	0.0539853
"Nortel Networks"	0.0536188
auctioneer	0.0533389
"Neiman Marcus"	0.0531437
"Procter &AMP; Gamble"	0.0528527
"Toys R Us"	0.0527799
"Andersen Consulting"	0.0525151
"Gap Inc."	0.0524265
Corp.	0.052426
MP@.com	0.0524105
"GTE Corp."	0.0521385
"jewelry store"	0.0516363
"information provider"	0.051356
"J. Peterman"	0.0511789
"Cisco Systems Inc."	0.0511683
"Bertelsmann AG"	0.0510435
Kmart	0.0508981
"Charles Schwab"	0.0507885
"Vodafone AirTouch"	0.050778
"First Union"	0.0506348
"Cisco Systems"	0.0505741
"Rite Aid"	0.0502752
Infoseek	0.0502304
bookseller	0.049971
Telstra	0.0498723
"WorldCom Inc."	0.0497492
"order form"	0.049609
"Raging Bull"	0.0495723
Eskom	0.0494366
"Tribune Co."	0.0494128
"Fidelity Investments"	0.0491471
Alcatel	0.0490557
"Siemens AG"	0.0488949
CNN.com	0.0487308
DoubleClick	0.048696
Webvan	0.048489
smut	0.0484446
"America West Airlines"	0.0483837
CNET	0.0479172
"Brooks Brothers"	0.0478432
"Federated Department Stores"	0.0477519
marketer	0.0477386
"CBS Corp."	0.0475675
"Relevant Knowledge"	0.0474887
"BP Amoco"	0.0470391
"Nomura Securities Co."	0.0468001
BHP	0.0467172
Qualcomm	0.0465197
"Monsanto Co."	0.046332
NTT	0.0462691
Alcoa	0.0461836
"J.C. Penney"	0.0460467
abacus	0.0460237
Safeway	0.0457764
pfennig	0.0456378
ABSA	0.0456239
"General Electric Co."	0.0455972
Bertelsmann	0.045466
"BellSouth Corp."	0.0454324
EMC	0.0450585
"computer store"	0.0447768
Services	0.0443797
Novartis	0.0443333
QVC	0.0442927
"transit authority"	0.0442816
iVillage	0.044113
McMullen	0.0440428
Caltex	0.0440071
bootlegger	0.0439535
"Rio Tinto"	0.0438315
Orban	0.0435872
"JDS Uniphase"	0.0434696
Cabletron	0.0434004
"brokerage house"	0.043278
pornographer	0.0432778
resellers	0.0430245
NORTHROP	0.0429963
Telebras	0.0429485
Gillette	0.0426973
"Global Crossing Ltd."	0.0426751
Lukoil	0.042615
"T Corp."	0.0422479
TheStreet.com	0.0420393
Healtheon	0.0419427
"Advanced Micro"	0.0419151
"Fannie Mae"	0.04185
SNCF	0.0418494
"Wireless Optus"	0.0417354
ExciteAtHome	0.0415928
masse	0.0415728
"Bank of Israel"	0.041543
"electric company"	0.0414982
Marks	0.0414816
SkyTel	0.0413776
"Advanced Micro Devices"	0.0413206
"brokerage account"	0.0412837
Healtheon/WebMD	0.0412673
Telefonica	0.0411807
"De Beers"	0.0410766
"Delta Air Lines"	0.040844
"publishing company"	0.0406526
"Southern Co."	0.0406177
Hasbro	0.04054
"Lockheed Martin Corp."	0.0403704
Monster.com	0.0402477
"Modern Library"	0.040235
"Alta Vista"	0.0402139
GEC	0.0401943
"NEC Corp."	0.0401054
))
(Amazonian (desc 1279.89) (sims
"Far Eastern"	0.10445
Catskill	0.0967904
Tigray	0.0967884
Putumayo	0.0966944
Mullaitivu	0.0957084
"South American"	0.0924707
Maasai	0.0898312
Appalachian	0.0883651
forbidden	0.0858285
"Costa Rican"	0.0798426
"Pacific Coast"	0.0788999
Chesapeake	0.0743367
"old growth"	0.0732166
Xishuangbanna	0.0692444
Piedmont	0.0679493
Ecuadorean	0.0677821
Sylhet	0.0669671
Kagera	0.0666537
"Rocky Mountain"	0.0666132
"West African"	0.0664548
"East African"	0.0662746
"Great Plains"	0.0661732
Chattahoochee	0.0658686
"Hill Country"	0.064808
Thirty-four	0.0639926
Halle	0.0634127
Darien	0.063331
tibia	0.0632743
Cumberland	0.0624413
Caprivi	0.0624208
Rhine	0.0620388
Mekong	0.0620149
"Chesapeake Bay"	0.0619466
"Central American"	0.0607045
"Lower Saxony"	0.0603152
Batticaloa	0.0602631
Berber	0.0601849
"Nile Delta"	0.059436
BASQUE	0.0593947
Antioquia	0.0589115
"Central Asian"	0.0586321
Viburnum	0.0585277
Hopi	0.0583942
Kaliningrad	0.0573294
Khabarovsk	0.0560113
Mayan	0.0558761
Iroquois	0.055464
export-oriented	0.0541934
"Eastern Washington"	0.0541161
Azerbaijani	0.0537874
Ingush	0.0536736
Catalan	0.053656
"South Vietnamese"	0.0530728
pan-Arab	0.0526886
Rajshahi	0.0526451
Bekaa	0.0526046
Saxony	0.052436
non-European	0.052408
Ghali	0.0519888
"four key"	0.0519063
"Ohio River"	0.0517302
Okinawan	0.0516634
sq.km	0.0516609
Sioux	0.0515395
"Bible Belt"	0.0509231
Decani	0.050721
"other eight"	0.0506778
Seminole	0.0506262
Bobo	0.050133
Baltic	0.0501288
"Colorado River"	0.0495072
"South Asian"	0.0494555
Kurdish	0.0493155
Ivorian	0.0490569
"ponderosa pine"	0.0490083
Germanic	0.0487601
Tahoe	0.048721
CONCACAF	0.0485173
Arctic	0.0483459
ripening	0.0483306
"Southeast Asian"	0.0482178
Adirondack	0.048152
Khulna	0.0479779
Kazak	0.0476138
Michoacan	0.0473594
Estonian	0.0473079
Gulu	0.0471667
Mid-Atlantic	0.0471262
Borneo	0.0467966
Mankulam	0.046773
"North African"	0.0462674
Posoltega	0.0460638
Kyrgyz	0.0460099
Oneida	0.0459127
cuckoo	0.045879
Ozarks	0.0453806
"Northern Irish"	0.0452655
Azeri	0.0451647
Kono	0.0451646
Trincomalee	0.0451354
"other four"	0.0449252
Hesse	0.0447441
Yoruba	0.04462
"Connecticut River"	0.044368
Montenegrin	0.0442972
"Mississippi Delta"	0.0441459
"upper crust"	0.0440541
Vedeno	0.0439443
Kazakh	0.0435908
"Sunni Muslim"	0.0434231
"Sierra Nevada"	0.0432922
pygmy	0.0431515
Moldovan	0.0431319
"New Guinea"	0.0430587
Mbeya	0.0429869
"Western Pacific"	0.0428553
Thirty-eight	0.0428242
Moshi	0.0427315
Lithuanian	0.0425376
Shang	0.0424817
Samara	0.0424697
Pueblo	0.0423503
Cayuga	0.0422479
"Suez Canal"	0.0418098
"Rio Grande Valley"	0.0415949
two-mile	0.0415592
Drenica	0.0414989
"East Asian"	0.0414647
Euphrates	0.0414014
Krasnoyarsk	0.0410369
"Mississippi River"	0.0410051
Navajo	0.040767
Puglia	0.0407505
"other five"	0.0405727
Suez	0.0405703
Kigoma	0.0405563
CFA	0.0404301
Rhone	0.0402419
))
(Ambassador (desc 116256) (sims
envoy	0.260236
"foreign minister"	0.25891
diplomat	0.247457
minister	0.225292
representative	0.202851
"deputy foreign minister"	0.200215
"secretary of state"	0.182207
"finance minister"	0.179452
delegation	0.176296
"head of state"	0.176148
secretary	0.165775
"high commissioner"	0.164535
Premier	0.164375
President	0.162118
official	0.154405
chief	0.14998
embassy	0.148047
"Kofi Annan"	0.141227
General	0.140876
leader	0.138765
"Prime Minister"	0.133731
"Foreign Ministry"	0.133718
delegate	0.13316
Secretary-General	0.127506
"cabinet minister"	0.126671
undersecretary	0.125682
commander	0.124014
businessmen	0.123324
commissioner	0.122755
negotiator	0.122136
"vice president"	0.121034
government	0.119781
deputy	0.119065
parliamentarian	0.117702
Speaker	0.117408
chairman	0.116613
"chief of staff"	0.115339
"military officer"	0.115289
Governor	0.115235
"military leader"	0.114904
"business leader"	0.113956
consul	0.1134
Annan	0.111579
legislator	0.111281
"Javier Solana"	0.111171
Chancellor	0.111036
"minister of finance"	0.110857
"William Cohen"	0.110283
Moi	0.108384
counterpart	0.108074
Albright	0.107592
parliament	0.106513
"diplomatic mission"	0.106018
member	0.105889
"military attache"	0.105877
"chief justice"	0.105284
mediator	0.104725
"Viktor Chernomyrdin"	0.104682
"Yevgeny Primakov"	0.104351
observer	0.103183
vice-president	0.102663
Mandela	0.1024
Holbrooke	0.101449
Mayor	0.100752
"Atal Bihari Vajpayee"	0.100723
expert	0.100722
Arafat	0.100629
"Secretary General"	0.100559
authority	0.100294
Aziz	0.0993421
"armed forces"	0.0992149
"army officer"	0.0982947
ministry	0.0975927
advisor	0.0973585
senator	0.0971044
Mubarak	0.0969506
journalist	0.0969304
Vice-Premier	0.096619
"governor general"	0.0963227
"Nawaz Sharif"	0.0959425
"Benjamin Netanyahu"	0.0959149
president-elect	0.0944241
aide	0.0942398
national	0.0940419
"central bank"	0.0936916
citizen	0.0929483
Chirac	0.0923788
"Tony Blair"	0.092165
officer	0.0919105
director	0.0918669
"crown prince"	0.091602
"Richard Holbrooke"	0.0907651
"general secretary"	0.0907525
"Saeb Erekat"	0.0907103
spokesman	0.090303
lawmaker	0.0899254
adviser	0.0896344
dignitary	0.0895679
"Chuan Leekpai"	0.0895367
"Rafik Hariri"	0.0894136
guest	0.0892504
vice	0.0890473
"security adviser"	0.0889272
"Meles Zenawi"	0.0888686
Prince	0.0884684
Primakov	0.0884523
"Ehud Barak"	0.0883765
visit	0.0881828
"religious leader"	0.0873653
"Salim Ahmed Salim"	0.0871619
"business executive"	0.0871272
"state visit"	0.0865919
"Hun Sen"	0.0862812
troop	0.0862733
"Bill Richardson"	0.0862726
Jiang	0.0862449
"Mahathir Mohamad"	0.0861845
"Sheikh Hasina"	0.0860749
ruler	0.0857887
export	0.0857379
"Mesut Yilmaz"	0.0857297
director-general	0.0854509
al-Sahhaf	0.0853292
police	0.0853288
prosecutor	0.085281
Chernomyrdin	0.0850533
"commander in chief"	0.0850134
"council member"	0.0846766
"Jean Chretien"	0.0845111
Mission	0.0842972
"Dennis Ross"	0.0841979
judge	0.0840726
"William Perry"	0.0840417
"chief executive"	0.0836822
"news agency"	0.0835472
Netanyahu	0.0833341
"Lionel Jospin"	0.0832805
banker	0.0828339
cabinet	0.0828015
"business community"	0.0827337
U.N.	0.0826852
soldier	0.0826601
Zhu	0.082377
entrepreneur	0.0822879
bishop	0.0818085
Sharif	0.0817719
Attorney	0.0816967
al-Assad	0.0816411
"Robert Rubin"	0.0816051
politician	0.0815533
Qian	0.0813898
"Goh Chok Tong"	0.0812825
administrator	0.0809955
"political leader"	0.0808198
"Ryutaro Hashimoto"	0.080736
lawyer	0.0806365
Congressman	0.0804494
reporter	0.0804448
"Binyamin Netanyahu"	0.0804048
"managing director"	0.0803749
"Li Peng"	0.0803364
Museveni	0.0802972
Councillor	0.0802468
Vajpayee	0.0801358
Cohen	0.0799702
Council	0.0799583
"chamber of commerce"	0.0797393
"Bulent Ecevit"	0.0796771
"U.S. Embassy"	0.0794495
Barak	0.0790966
"trading partner"	0.0790818
"Arab League"	0.0788971
"Keizo Obuchi"	0.0787187
Industrialist	0.0784593
peacekeeper	0.0783835
Colonel	0.078181
Kharrazi	0.0781537
"first lady"	0.078109
congressmen	0.0779457
"Security Council"	0.077882
al-Shara	0.0778533
"Costas Simitis"	0.0775323
attache	0.0771303
al-Sharaa	0.0770317
visitor	0.0769088
Yeltsin	0.0768436
head	0.0767418
Abubakar	0.0765594
exporter	0.0765545
"world leader"	0.0765079
executive	0.0762147
Moussa	0.0757349
emissary	0.0756762
"United Nations"	0.0756569
"vice chairman"	0.0752655
army	0.0752561
"Phan Van Khai"	0.0750478
doctor	0.0748379
"Defense Ministry"	0.0747749
"William Daley"	0.0746166
))
(ambassadorship (desc 1426.49) (sims
reappointment	0.0704201
"membership card"	0.0664733
"airplane ticket"	0.0637982
"financial obligation"	0.0588017
"speeding ticket"	0.0581561
judgeship	0.0571835
Consul-General	0.055551
"Official Development Assistance"	0.0533013
"hunting knife"	0.0532963
"boarding pass"	0.0528347
avocation	0.0518102
guardianship	0.0500145
"line of questioning"	0.049081
"trade route"	0.0490354
"silver dollar"	0.0482739
abatement	0.046974
"Thomson Multimedia"	0.0459452
"army engineer"	0.0457541
speakership	0.0449222
T-bonds	0.0447107
governorship	0.0443122
freebies	0.0442057
"order form"	0.0434768
"five spot"	0.0431134
Limoges	0.0420498
"nearly $@.@ billion"	0.0416728
"warning signal"	0.0414019
MFN	0.0410567
Anelka	0.0410405
"round-trip ticket"	0.0403703
assistances	0.0401337
))
(Amber (desc 6856.76) (sims
crimson	0.118266
beige	0.0964487
purple	0.0943402
violet	0.0928308
jade	0.0894073
Yellow	0.0882554
mauve	0.0877618
Pink	0.0811585
maroon	0.0781833
turquoise	0.0773677
coral	0.070236
lavender	0.0689217
fuchsia	0.0675576
Stephanie	0.0639698
Burgundy	0.0619479
Scarlet	0.059944
Maureen	0.0596306
tan	0.0593073
grey	0.0585341
lilac	0.0584177
Rebecca	0.0553201
Juli	0.0550341
Meredith	0.0547847
ivory	0.0547501
Kristin	0.0546801
Michelle	0.0543349
indigo	0.0541519
Emily	0.0541399
Ruby	0.0541016
Karenna	0.0540059
"Karenna Gore Schiff"	0.0530864
emerald	0.0522867
Pamela	0.0521921
Roux	0.0515681
Naomi	0.0513658
Gathers	0.0512058
Amanda	0.0501508
pastel	0.0501488
JonBenet	0.0500633
chartreuse	0.0497588
Sasha	0.0496841
Angelica	0.0495844
"precious metal"	0.0488583
crystal	0.0488494
Jessica	0.0483269
Brenda	0.0481212
alicia	0.0480938
Andrea	0.0472112
Irina	0.0471201
Natalie	0.0469425
heather	0.0468219
Megan	0.0467317
Shannon	0.046597
Kathleen	0.0464299
Alexandra	0.0463425
Samantha	0.045994
Caroline	0.04539
Lydia	0.0450193
taupe	0.0448698
Tina	0.0447744
"black and white"	0.0447169
silverware	0.0445514
Molly	0.0444667
Jenna	0.0443435
Ashley	0.0442799
Kimberly	0.0442794
Katie	0.0440191
Olga	0.043965
"precious stone"	0.043633
periwinkle	0.0435
teal	0.043
Hannah	0.0426024
Wynonna	0.0425472
bauble	0.0425097
Lucy	0.0422891
marble	0.0419836
"Chelsea Clinton"	0.0418087
Rachel	0.041534
Julie	0.0415071
Vanessa	0.0413984
Jenny	0.0413807
driftwood	0.0410984
Debbie	0.0410514
Marisleysis	0.040988
Johanna	0.0409851
gemstone	0.0409221
Polly	0.0407019
apricot	0.0403337
Barbara	0.0401638
"deep red"	0.0401148
))
(ambiance (desc 6264.03) (sims
ambience	0.178096
atmosphere	0.0794444
charm	0.0709366
aura	0.0620157
environs	0.0594381
architecture	0.0572921
amenity	0.0558866
sensibility	0.0552949
decor	0.053198
tableau	0.0528743
getaway	0.0525672
verisimilitude	0.0522879
surroundings	0.051486
cachet	0.0503652
esthetic	0.0497727
milieu	0.0495828
"way of life"	0.0494491
intimacy	0.0487913
cuisine	0.0486912
eateries	0.0485016
"sailing vessel"	0.0484463
wallop	0.047723
opulence	0.0475411
"line of products"	0.0473395
vibrancy	0.0471523
lifestyle	0.0471359
Vibe	0.0471322
furnishings	0.0459956
splendor	0.0459857
uniqueness	0.0456396
"creature comforts"	0.0450497
geography	0.0446747
dining	0.0444652
layout	0.0442521
MYSTIQUE	0.0440698
scenery	0.0439942
folklore	0.0439898
"port of call"	0.0439706
accoutrement	0.0435438
"landscape painting"	0.043434
tapestry	0.0433943
clientele	0.0431581
recreation	0.0431129
elegance	0.0429584
hideaway	0.0416086
allure	0.0414532
grandeur	0.041177
immediacy	0.0411357
clime	0.0411019
edifice	0.0409512
"marketing program"	0.040639
gameplay	0.0406341
"state of mind"	0.040626
"dining room"	0.0405197
whimsy	0.0404492
ethos	0.0403431
"social structure"	0.0400929
worldview	0.0400671
))
(ambience (desc 9946.68) (sims
ambiance	0.178096
atmosphere	0.0944194
decor	0.0919817
charm	0.0810717
aura	0.0689379
flavor	0.0670436
mood	0.0634274
beauty	0.0630894
elegance	0.0622375
amenity	0.061669
architecture	0.0615088
sensibility	0.0613973
Vibe	0.0610497
demimonde	0.0605806
tableau	0.0596953
glamour	0.0586564
landscape	0.0586286
texture	0.0580469
"creature comforts"	0.0580323
grandeur	0.0578648
tone	0.0576427
evocation	0.056982
setting	0.0568259
intimacy	0.0555629
splendor	0.0554271
cuisine	0.0553601
scenery	0.0550803
demeanor	0.0550525
ethos	0.0547655
milieu	0.0537388
MYSTIQUE	0.0533568
interior	0.0524515
allure	0.052071
folklore	0.0510209
verisimilitude	0.0507522
palette	0.0505056
subculture	0.0504926
lifestyle	0.0501036
"social structure"	0.0500165
edginess	0.0500014
zeitgeist	0.0499273
realism	0.049854
camaraderie	0.0494035
Vista	0.0484565
cachet	0.0481006
spunk	0.0480514
surroundings	0.0474912
aesthetic	0.0473907
Lighting	0.0473553
mind-set	0.0472535
nook	0.0468464
environs	0.0468439
kitsch	0.0459756
strangeness	0.04593
skyline	0.0449383
luster	0.0447866
persona	0.0447157
timelessness	0.0446502
aroma	0.044501
warmth	0.0441404
"quality of life"	0.0440218
humor	0.043632
"life style"	0.0434656
Panorama	0.0433901
functionality	0.04333
tranquillity	0.0432068
Romance	0.0431648
silliness	0.0430147
acoustic	0.0429682
"cast of characters"	0.042916
"state of mind"	0.0429118
fable	0.0428866
facade	0.0428463
eccentricity	0.0427446
lore	0.042644
furnishings	0.0424291
"clean slate"	0.0424185
mythology	0.042189
friendliness	0.0417234
tapestry	0.0416142
self-image	0.0415013
excitement	0.0411628
topography	0.0410076
"way of life"	0.0410067
bustle	0.0409553
mentality	0.0408244
timbre	0.040622
bistro	0.0403994
Fragrance	0.0403752
hairstyle	0.0402503
simplicity	0.040248
layout	0.0402224
melodrama	0.0400825
))
(ambiguity (desc 15812.6) (sims
contradiction	0.148169
misunderstanding	0.123476
confusion	0.112659
complexity	0.109385
uncertainty	0.10794
inconsistency	0.104926
ambivalence	0.102082
inequity	0.0998013
paradox	0.0993626
hypocrisy	0.0892028
subtlety	0.0869302
irony	0.0860977
vagueness	0.0856997
inaccuracy	0.0851966
doubt	0.0842282
mistrust	0.0826286
flaw	0.0821899
nuance	0.0813563
fragility	0.0791147
discrepancy	0.0766186
peculiarity	0.0755407
intrigue	0.0750604
distortion	0.074997
misconception	0.0743182
dilemma	0.073254
emotion	0.0731148
cynicism	0.0726756
skepticism	0.0724369
anxiety	0.0722758
mystery	0.072174
instability	0.0708493
complacency	0.0706906
prejudice	0.0704534
overlap	0.0700076
difference	0.0699127
difficulty	0.0698081
angst	0.0693431
unfairness	0.0693173
sophistication	0.0691561
diversity	0.0690921
ignorance	0.0690089
misgiving	0.0688587
quirk	0.0680299
divergence	0.0679341
"difference of opinion"	0.0678985
obfuscation	0.0674217
bitterness	0.0673853
naivete	0.0672896
richness	0.0672598
absurdity	0.0672531
suspicion	0.0672205
misinformation	0.066967
conundrum	0.066723
friction	0.0666445
quandary	0.0662232
distrust	0.0661981
insecurity	0.0661956
bias	0.0657601
volatility	0.0655728
disagreement	0.0655459
secrecy	0.0653852
imperfection	0.0653714
truth	0.0651259
anomaly	0.0649575
omission	0.0648551
tension	0.0643356
sadness	0.0643138
excitement	0.0643055
refinement	0.0642808
weirdness	0.0642526
strangeness	0.0637883
resonance	0.0636692
acrimony	0.0635924
nervousness	0.063479
disparity	0.0634383
inequality	0.0633996
constraint	0.0632388
realism	0.0629606
certainty	0.0629281
misperceptions	0.0620891
apprehension	0.0619871
sensitivity	0.0619741
misinterpretation	0.0619366
perception	0.0618414
clarity	0.061427
shortcoming	0.0612772
suspense	0.0612166
flexibility	0.0612116
inadequacy	0.0612072
resentment	0.0609551
divisiveness	0.0609523
unpredictability	0.0607597
hesitation	0.0606552
frailty	0.0606267
ramification	0.0606213
indecision	0.0604738
spontaneity	0.0603863
symbolism	0.0602817
controversy	0.0600962
discord	0.0598539
frustration	0.0596793
intimacy	0.059469
intricacy	0.0593792
implication	0.0592972
discrimination	0.0590332
reality	0.0588272
weakness	0.0586048
isolation	0.0586043
Limitation	0.0585766
hatred	0.0584288
honesty	0.0581939
chaos	0.0581635
pathos	0.0580556
depth	0.0579924
laxity	0.0579694
seriousness	0.0579452
injustice	0.0576668
mistake	0.0574679
lapse	0.0574539
immediacy	0.0574418
inefficiency	0.057312
clutter	0.0572328
deception	0.0571291
illusion	0.0570843
wording	0.0570821
awkwardness	0.0570226
humor	0.0569571
"inferiority complex"	0.0568099
hang-up	0.0567783
urgency	0.056657
meaning	0.0566266
stigma	0.0565823
simplicity	0.056537
alienation	0.0564682
deterioration	0.0564391
ugliness	0.0563929
interpretation	0.056359
nature	0.0563553
indifference	0.056277
dynamic	0.0561554
loneliness	0.0559661
repetition	0.0558365
compromise	0.0557316
unease	0.055718
humility	0.0554619
duality	0.0554371
"red tape"	0.0553703
polarization	0.0553084
pessimism	0.055241
conjecture	0.0551638
agony	0.0550762
animosity	0.0549995
aspect	0.0547933
terror	0.0547285
loophole	0.0547002
inhibition	0.0545388
misrepresentation	0.0543892
dichotomy	0.0542922
myth	0.0541764
stereotype	0.054085
rancor	0.0540779
anguish	0.0537499
uniqueness	0.0536606
arrogance	0.0536423
turbulence	0.0536404
finger-pointing	0.0535984
oddity	0.0534386
consequence	0.0534188
poignancy	0.0533647
hardship	0.0533384
reversal	0.0530862
trepidation	0.0530397
nostalgia	0.0529572
snag	0.0528771
evolution	0.0528651
distinction	0.0528456
discomfort	0.0528031
duplication	0.0527279
knowledge	0.0526716
fantasy	0.0526266
variation	0.0526244
"double standard"	0.0526173
understanding	0.0525859
ifs	0.0524697
deficiency	0.0523863
passion	0.052339
negativity	0.0522319
imbalance	0.0522117
paranoia	0.0521786
horror	0.0521368
differentiation	0.0520137
precedent	0.0519816
upheaval	0.051976
optimism	0.051896
artifice	0.0518342
awareness	0.0518271
Leeway	0.0517946
foolishness	0.0517593
denial	0.0517459
confrontation	0.0517447
))
(ambition (desc 56773.9) (sims
aspiration	0.165573
desire	0.141085
passion	0.124298
ego	0.115623
vision	0.113675
dream	0.111809
determination	0.11168
enthusiasm	0.109515
ability	0.10814
talent	0.105753
Creativity	0.104788
intention	0.104736
courage	0.103881
greed	0.101676
skill	0.100174
emotion	0.0991646
intellect	0.0953013
instinct	0.0950846
motivation	0.0950437
pride	0.0943786
personality	0.0938377
wish	0.0920889
impulse	0.0913065
spirit	0.0910111
objective	0.0907016
hope	0.0904916
willingness	0.0903491
jealousy	0.090255
strength	0.089678
loyalty	0.0896168
charisma	0.0891245
commitment	0.0884714
sense	0.0882188
interest	0.0881103
experience	0.0878643
hatred	0.0877342
feeling	0.0875972
ideal	0.0869477
expectation	0.086848
arrogance	0.0858715
potential	0.0852561
attitude	0.0852191
vitality	0.084836
curiosity	0.0843382
intelligence	0.0842069
love	0.0840214
fear	0.0838513
rivalry	0.0837037
success	0.0834943
idea	0.0833579
accomplishment	0.0830533
agenda	0.0828436
belief	0.0827
honesty	0.0826058
motive	0.0825451
reputation	0.0824569
fantasy	0.0821991
optimism	0.0821417
need	0.0816737
compassion	0.0816694
achievement	0.0812858
ideology	0.08108
excitement	0.0810681
style	0.0807486
confidence	0.080643
strategy	0.0804806
intensity	0.0795216
capability	0.0792397
wit	0.0792144
dedication	0.0791619
inclination	0.0789747
stamina	0.0789659
faith	0.078493
temperament	0.078455
frustration	0.0782587
charm	0.0781925
resolve	0.0780733
lust	0.0780006
knowledge	0.0777978
effort	0.0777884
responsibility	0.0776201
philosophy	0.0776003
imagination	0.0770105
appetite	0.0768988
ethic	0.0768598
yearning	0.0767568
promise	0.0767057
sentiment	0.076319
goal	0.0763143
sophistication	0.0759301
power	0.0757868
anger	0.0757641
idealism	0.0757335
"sense of humor"	0.0755353
integrity	0.07547
self-confidence	0.0752387
wisdom	0.0751904
anxiety	0.074769
candidacy	0.0744986
innovation	0.0743769
energy	0.0742662
struggle	0.0740821
influence	0.0738905
plan	0.0738037
self-interest	0.0737213
obsession	0.0736051
perception	0.0732163
quest	0.0731543
devotion	0.0730109
"hard work"	0.0727904
concern	0.0726547
politics	0.0725912
wealth	0.0725481
behavior	0.0723205
discipline	0.0718392
sincerity	0.071687
taste	0.0716537
patience	0.0716301
purpose	0.0716259
resentment	0.0714372
identity	0.0714126
bitterness	0.0712833
aim	0.0709977
prejudice	0.0709383
tendency	0.0705314
tenacity	0.0704154
credential	0.0703845
stature	0.0703569
dignity	0.0700496
tradition	0.0699228
expertise	0.069914
popularity	0.0699023
perseverance	0.0693667
pretension	0.0693589
credibility	0.0693066
habit	0.0692561
value	0.0688949
hubris	0.0688874
persistence	0.0684967
prestige	0.0684924
rhetoric	0.0684542
zeal	0.068322
ingenuity	0.0682436
mentality	0.0680661
principle	0.0680083
life	0.0679268
originality	0.0678625
affection	0.0677169
patriotism	0.0676908
reluctance	0.0676638
involvement	0.0676152
conscience	0.0676056
tactic	0.0675598
insecurity	0.067556
sexuality	0.0673022
aggressiveness	0.0672422
"common sense"	0.0672136
humor	0.0669107
prowess	0.0666468
ignorance	0.066463
flexibility	0.0664304
approach	0.066423
nature	0.0662802
joy	0.0660549
aggression	0.066019
quality	0.0659948
demand	0.0659875
longing	0.065924
relationship	0.0658882
seriousness	0.0658594
memory	0.065803
conviction	0.0657838
reality	0.065653
tension	0.0656399
role	0.0655431
culture	0.0655338
toughness	0.0655099
animosity	0.0654781
initiative	0.0654616
competitiveness	0.0654608
diversity	0.0651759
view	0.0650957
desperation	0.0650424
morality	0.0650362
prospect	0.0649555
nationalism	0.0649205
opportunity	0.0649185
partisanship	0.0648623
perspective	0.064803
thought	0.0647872
generosity	0.0647805
will	0.0647545
complexity	0.064698
acumen	0.0646494
legacy	0.064523
policy	0.0644718
exuberance	0.0644483
grace	0.064286
vigor	0.0641863
beauty	0.064184
))
(ambivalence (desc 14260.5) (sims
unease	0.126691
skepticism	0.122082
bitterness	0.114628
anxiety	0.111307
trepidation	0.110365
uneasiness	0.109752
resentment	0.108596
distrust	0.10821
wariness	0.107516
nervousness	0.106759
mistrust	0.104747
sadness	0.104638
ambiguity	0.102082
confusion	0.101277
misgiving	0.100822
insecurity	0.100483
cynicism	0.0995952
apathy	0.098918
bewilderment	0.0974401
anger	0.096724
reluctance	0.0958446
apprehension	0.0949123
frustration	0.0940669
distaste	0.0931652
helplessness	0.0931462
dismay	0.0927726
dissatisfaction	0.0919004
skittishness	0.0917388
pessimism	0.0914433
unhappiness	0.090934
reverence	0.0897162
uncertainty	0.089405
disdain	0.0890527
anguish	0.087278
contradiction	0.0863649
sorrow	0.0861899
angst	0.085808
optimism	0.084851
disillusionment	0.0842102
animosity	0.0836522
sensitivity	0.0829114
indifference	0.0825103
feeling	0.0823866
disgust	0.0823849
outrage	0.0823187
hostility	0.0820074
powerlessness	0.0817229
affection	0.0805951
attitude	0.0803751
impatience	0.0800462
indignation	0.0798419
astonishment	0.0796313
remorse	0.0793125
sentiment	0.0789746
displeasure	0.0781751
paranoia	0.0777929
revulsion	0.0776372
disquiet	0.0774189
desperation	0.077075
excitement	0.0759317
yearning	0.0759276
hopelessness	0.0758251
weariness	0.0757899
suspicion	0.0757704
rancor	0.0757207
ignorance	0.0757091
"sense of shame"	0.0756967
discomfort	0.0754349
enthusiasm	0.0752519
doubt	0.0751288
vulnerability	0.0750409
paradox	0.075022
contempt	0.0746948
fragility	0.0743508
Distress	0.0741563
disappointment	0.0739637
jealousy	0.0739618
fascination	0.0738953
antagonism	0.0736839
hatred	0.0736294
dread	0.07337
exasperation	0.0732214
urgency	0.0732153
sympathy	0.0727224
hesitation	0.0724874
perplexity	0.072265
"ill will"	0.0720131
fatalism	0.0717251
disenchantment	0.0716205
emotion	0.0716003
admiration	0.0715061
sincerity	0.071128
alienation	0.0710179
inhibition	0.0707706
discontent	0.0707508
frailty	0.0707428
consternation	0.0704869
aversion	0.0704715
caution	0.0704289
reticence	0.0702397
volatility	0.0699975
prejudice	0.0698178
antipathy	0.0697796
passion	0.0695103
intimacy	0.0694309
elation	0.069421
eagerness	0.0692486
scepticism	0.0691094
naivete	0.0689355
defensiveness	0.0687461
divergence	0.0686557
"difference of opinion"	0.0685647
emptiness	0.0684823
affinity	0.0682703
longing	0.0681772
complacency	0.0681753
seriousness	0.0680316
"good will"	0.0679509
humility	0.0679323
grief	0.0678624
complexity	0.0678443
tension	0.0677406
restlessness	0.0671703
disbelief	0.0669874
empathy	0.0668978
satisfaction	0.0664137
curiosity	0.0663869
loyalty	0.0662937
insensitivity	0.0661013
despair	0.065927
puzzlement	0.0659201
discouragement	0.0656992
qualm	0.0652326
inconsistency	0.0647725
determination	0.0642668
enmity	0.0639039
devotion	0.0638033
bemusement	0.0637772
misconception	0.0637204
self-doubt	0.0634
repulsion	0.0633207
irony	0.0632559
fervor	0.0632252
polarization	0.06304
gratitude	0.0630237
disapproval	0.0630022
arrogance	0.062922
willingness	0.0628223
hypocrisy	0.062662
joy	0.0624343
dislike	0.0623865
"sense of responsibility"	0.0622976
pride	0.0619842
regret	0.061763
edginess	0.0617423
acrimony	0.0617189
tenderness	0.0616437
guilt	0.0616404
disrespect	0.0610416
timelessness	0.0609868
nostalgia	0.0608914
dilemma	0.0604661
panic	0.0601465
laxity	0.0601079
fondness	0.0600396
loneliness	0.0598528
weakness	0.0597872
compassion	0.0596758
malaise	0.0595773
unwillingness	0.0595012
certainty	0.0590614
awkwardness	0.0590159
belief	0.0588978
sensibility	0.0588618
confidence	0.0588606
awareness	0.0587829
shyness	0.0587289
resilience	0.058677
equanimity	0.0586737
immaturity	0.0586615
hesitancy	0.0585528
irritation	0.0585068
melancholy	0.0583726
obsession	0.0582234
warmth	0.0581635
animus	0.0579304
sophistication	0.0578912
pity	0.0578694
kinship	0.0577351
tiredness	0.0575744
condescension	0.057545
disagreement	0.0574521
futility	0.0572711
"inferiority complex"	0.0571772
indecision	0.0570825
rudeness	0.0570293
awe	0.056917
clout	0.0567235
familiarity	0.0567124
spontaneity	0.0564822
))
(Ambon (desc 10257.2) (sims
Maluku	0.242363
Bengkulu	0.196853
Kupang	0.187713
Jayapura	0.178286
Dili	0.177515
Quetta	0.15991
Jakarta	0.154785
Manado	0.147103
Shiraz	0.145503
"Irian Jaya"	0.143238
Aceh	0.142401
Dushanbe	0.141372
Medan	0.14082
Kaduna	0.139356
Kuito	0.13887
"North Maluku"	0.138573
Monrovia	0.138462
Batam	0.135825
Lhokseumawe	0.135032
Karachi	0.133153
Palembang	0.132505
Srinagar	0.132144
Kisangani	0.131524
Bujumbura	0.128861
Brazzaville	0.12876
Juba	0.126792
Vladikavkaz	0.126413
Surabaya	0.124821
Bangui	0.123288
Lahore	0.123072
Bissau	0.122826
Peshawar	0.122063
Mashhad	0.120908
Pristina	0.120638
Makhachkala	0.119657
Gudermes	0.118463
Taloqan	0.118455
Grozny	0.118379
Mogadishu	0.118234
Sulawesi	0.116251
subdistrict	0.115257
Warri	0.112451
Maseru	0.110438
Jalalabad	0.10854
Mindanao	0.107831
Tbilisi	0.107599
Sumatra	0.107554
Bali	0.107437
TIRANA	0.107205
Charikar	0.107189
Kabul	0.106963
"Liberian capital"	0.106898
Medellin	0.106822
Freetown	0.106448
Belfast	0.106434
Lagos	0.106235
"Kosovska Mitrovica"	0.106167
"San Salvador"	0.106071
Algiers	0.105414
Jaffna	0.105037
Windhoek	0.104412
Asuncion	0.104232
Izmit	0.104039
Suva	0.103849
Jolo	0.103816
"East Timor"	0.103593
Skopje	0.103551
PATNA	0.102992
Yerevan	0.102843
"Phnom Penh"	0.102738
CHENGDU	0.10247
"Santo Domingo"	0.10218
Huambo	0.102118
Gaborone	0.101367
DHAKA	0.100821
"Port Moresby"	0.100351
Lhasa	0.0997719
Makeni	0.0987795
Moroni	0.0987321
Kyushu	0.0984379
Tripoli	0.0982508
"La Paz"	0.0982355
Minsk	0.0982169
Sarajevo	0.0979225
SANAA	0.0975584
Nairobi	0.0974881
Kunming	0.0974848
COLOMBO	0.0974669
Kinshasa	0.0968673
Hebron	0.0967711
Ibadan	0.0964907
Luanda	0.0954837
regency	0.0952042
Kandy	0.0951185
Podgorica	0.0951149
Lucknow	0.095098
Ramallah	0.0949896
Abidjan	0.0945739
"Guatemala City"	0.0942662
Prizren	0.0936723
Tashkent	0.0929795
Honiara	0.0925783
Kigali	0.0925537
Haikou	0.092502
Mombasa	0.092034
Zhengzhou	0.0917448
YANGON	0.0917396
Harbin	0.091473
PEC	0.0912317
Tapachula	0.0910289
Asmara	0.0908436
Islamabad	0.0907655
TEGUCIGALPA	0.0899799
Quito	0.0898661
Mitrovica	0.0895841
Lusaka	0.0895631
"Kuala Lumpur"	0.0894089
Istanbul	0.0894054
Atambua	0.0891972
Murmansk	0.0889368
Kandahar	0.0889323
Yogyakarta	0.0887367
"Metro Manila"	0.0886549
Urumqi	0.088532
Jammu	0.0882746
Lima	0.0881137
"Banja Luka"	0.0881035
KAMPALA	0.0880233
Delhi	0.0877576
Wuhan	0.0876504
Lijiang	0.0876204
HARARE	0.0876011
Xian	0.0874778
Riyadh	0.0869013
BUCHAREST	0.0868639
Mankulam	0.0867599
Port-au-Prince	0.0867376
BOGOTA	0.0866845
Bukavu	0.0866103
Accra	0.0865224
Fuzhou	0.0864848
Calcutta	0.0855676
KIEV	0.0854808
Vientiane	0.0854574
Bandung	0.0853891
Dakar	0.0853149
Halifax	0.0852863
Chisinau	0.08519
"Cape Town"	0.0851601
Amman	0.0851377
Multan	0.084371
Beirut	0.0842078
Basilan	0.0841744
"Addis Ababa"	0.0839547
NANJING	0.0838895
MANAMA	0.0836353
Astana	0.0833675
Shenyang	0.0833637
Bamiyan	0.0832232
PALERMO	0.0828773
Lanzhou	0.0825077
SOFIA	0.0820741
Nanchang	0.082005
CARACAS	0.0818641
Pretoria	0.0818269
Baalbek	0.081603
Sidon	0.0815086
Nazareth	0.0814328
"Mexico City"	0.0811914
Borneo	0.0811631
Cartagena	0.0807297
Changsha	0.0806194
Buldon	0.0805093
Tehran	0.0803236
Mostar	0.0800526
"San Cristobal"	0.0797332
Timor	0.0796103
Vilnius	0.0792934
"St. Petersburg"	0.0791919
Zamboanga	0.0790199
Java	0.0789745
CHANGCHUN	0.0789083
Nablus	0.0787131
"Sao Paulo"	0.0785194
Hyderabad	0.0784495
Havana	0.0784388
"Crown Heights"	0.078402
Bethlehem	0.0783663
Baidoa	0.078342
Marseille	0.0783187
Davao	0.0780691
Manila	0.0779509
"Tel Aviv"	0.0778977
Yinchuan	0.0777862
"Northern Ireland"	0.0777455
Durban	0.0776317
Chiapas	0.0773235
BRATISLAVA	0.0771508
"West Bank"	0.0770017
Baku	0.0769638
))
(Ambrose (desc 5531.48) (sims
Dillon	0.145474
Walsh	0.13364
Gough	0.133322
Headley	0.113077
Mullally	0.1054
Lehmann	0.105182
Fraser	0.104978
Muralitharan	0.103156
Agarkar	0.0965895
Eggers	0.0954215
Sobel	0.0930153
MacGill	0.0910736
McLean	0.0909815
Kallis	0.0893233
Harr	0.086877
McGrath	0.0818873
"Edmund Morris"	0.081673
Naipaul	0.0744395
"Larry McMurtry"	0.0736862
Kumble	0.0733826
Chopra	0.0725635
Gillespie	0.0723163
Akram	0.0722277
Crichton	0.0699622
Mahoney	0.069815
Weil	0.0695028
Fleming	0.0694734
"Glenn McGrath"	0.0688655
Morrison	0.0686984
Finkel	0.0686781
Donald	0.0679188
McCullough	0.0678438
Hirsch	0.0671327
Krugman	0.0670666
Sheehy	0.0665805
Rubenstein	0.066199
Vogel	0.0660955
Halberstam	0.0652675
Gorman	0.0651045
Salinger	0.0650133
Mariucci	0.0647814
Epstein	0.0646934
Okada	0.0645812
Ferguson	0.0644693
Evans	0.0644458
Nash	0.0640541
Felton	0.0639728
Wolff	0.0638373
Remnick	0.0638294
McMillan	0.0626939
Blount	0.0626329
Gregory	0.0625932
Pollock	0.0625311
DiCicco	0.0622916
Grossman	0.0622765
"Damien Fleming"	0.0620034
Hemings	0.0619665
Mustafa	0.0616853
Larson	0.0615048
Fuentes	0.0611769
LeBlanc	0.0608698
Rosenthal	0.060804
Pollack	0.0605705
Myhrvold	0.0591073
Hoffman	0.0587611
Adams	0.0587022
Kaye	0.0584374
O'Neil	0.0580748
Weiner	0.0580072
Chappell	0.0575948
Cleary	0.0575272
Cronje	0.0574586
Maynard	0.0570997
Iglesias	0.0570293
Winkler	0.0569994
Osborne	0.056978
Cleese	0.0568883
Lipstadt	0.056778
Erwin	0.0566754
Schourek	0.0562567
BENSON	0.0560896
McLaughlin	0.0560652
Burroughs	0.055763
Zwick	0.0556595
Farber	0.0555424
Talebi	0.0553991
Messina	0.0553659
Kurtz	0.054705
Jaffe	0.0546381
"J.K Rowling"	0.0544209
"Andrew Morton"	0.054396
Ingram	0.0543918
Wolfe	0.0543898
Sheedy	0.0539699
Slater	0.053849
Baca	0.0537135
Nicholson	0.0536471
McDonald	0.0535716
Plath	0.0535056
Silverstein	0.0534816
Patten	0.0534474
Poole	0.0533853
Hadley	0.0532578
Leibovitz	0.0531982
Hamilton	0.0531449
McIntyre	0.0531376
Meyers	0.0531213
Tomey	0.0530744
Baum	0.0530023
McLachlan	0.0529971
Kahn	0.0528201
Katzenberg	0.0527828
Anil	0.0527789
Locke	0.052637
Holmes	0.0525468
petty	0.0524089
Tanui	0.0523768
Clancy	0.0522004
Rendell	0.0521698
Myers	0.0519113
Stephenson	0.0518179
Ulrich	0.0518008
Friedman	0.0516736
Anthony	0.0515473
Posner	0.051522
Gullikson	0.0515153
collins	0.0515063
hodgson	0.0512857
Barrett	0.0512731
harrison	0.0512674
Allchin	0.0506589
Conroy	0.0506337
Dyer	0.0506174
Malik	0.0505593
Bryson	0.0505354
Robson	0.0504586
Arnold	0.0503156
Detmer	0.0503102
Eizenstat	0.050272
Simons	0.0501858
Cairns	0.050162
Roberts	0.0501465
Auerbach	0.0501041
Berg	0.0500887
Spielberg	0.0500518
Kaplan	0.0499458
Gallagher	0.0497918
Wilder	0.0497465
Gibbons	0.0497123
Schaeffer	0.0496919
Abdur-Rahim	0.0495679
Newcombe	0.049537
Horowitz	0.0493654
Midler	0.0493508
Herta	0.049263
Morse	0.0490904
Bech	0.049086
Zuckerman	0.0490424
Behr	0.0489402
Cornwell	0.048919
Saunders	0.0488731
Burnett	0.048837
Levine	0.0487771
Fleischer	0.0487512
HELLER	0.0487483
Cork	0.0486548
Berman	0.0486235
Nickerson	0.0486228
Siegel	0.0485885
Qu	0.0484705
Jayakumar	0.0483461
Henson	0.0482922
Mann	0.0482914
Reiner	0.0482469
Blume	0.0482233
franklin	0.0482034
Betts	0.0481413
Wildhorn	0.0481388
Hart	0.0481349
Alexie	0.0481262
Venter	0.0480572
Gullit	0.0477395
Muller	0.0476302
Breyer	0.0476058
Bowen	0.0475528
Polynice	0.0475125
Gibson	0.0475119
Gomes	0.0475033
"Paul Krugman"	0.0474977
Madsen	0.0474342
Moser	0.0474013
Surhoff	0.0472514
Nugent	0.047233
Levin	0.0471848
Stein	0.0471714
Arrington	0.0471486
Carville	0.0471047
Reyna	0.0470952
Rideau	0.0470801
McCurry	0.0470763
))
(Ambulance (desc 27755.9) (sims
"fire engine"	0.183173
"fire truck"	0.16513
helicopter	0.16417
jeep	0.158133
"police car"	0.157098
van	0.146958
truck	0.145243
limousine	0.141911
paramedic	0.140458
firemen	0.138463
bus	0.135604
taxi	0.132753
"patrol car"	0.127214
"personnel carrier"	0.122939
firefighters	0.122204
"fire fighter"	0.120165
hearse	0.119478
vehicle	0.118658
cab	0.115006
tanker	0.114317
"police van"	0.114295
lorry	0.112118
"school bus"	0.109724
"pickup truck"	0.1087
minibuses	0.108479
rescuer	0.10631
bulldozer	0.105947
motorcade	0.10512
"military vehicle"	0.104467
minibus	0.103908
Motorcycle	0.100986
"squad car"	0.100831
"dump truck"	0.0997852
medic	0.0987018
car	0.097792
boat	0.0947057
train	0.0933363
plane	0.0931368
convoy	0.0923646
rig	0.0912568
policemen	0.0911996
Cruiser	0.0910081
Limo	0.0905854
"tractor trailer"	0.0880321
tractor	0.0877696
mini-vans	0.0867342
airplane	0.0859842
aircraft	0.0854184
police	0.0845271
personnel	0.0841785
Humvees	0.0835918
ship	0.0813183
pickup	0.0812678
tank	0.0810893
Tram	0.0804624
wagon	0.0802223
carriage	0.0799356
"shuttle bus"	0.0796431
taxicab	0.0792758
"fire brigade"	0.0788439
"fire department"	0.0778311
mini-buses	0.0777461
vessel	0.0777352
"police officer"	0.0777294
motorbike	0.0776572
trailer	0.0750075
trooper	0.0745881
locomotive	0.0744887
"army tank"	0.0737956
crew	0.0734905
"National Guardsmen"	0.070924
rickshaw	0.0708567
"freight train"	0.0707748
cart	0.0706627
"fishing boat"	0.0700062
reinforcement	0.0698501
barge	0.0692739
Sedan	0.0692017
tractor-trailers	0.0689025
"garbage truck"	0.0687376
fire-fighter	0.0687335
"patrol boat"	0.0687013
"moving van"	0.0686975
pedestrian	0.068627
"railroad car"	0.068396
"passenger train"	0.0679901
troop	0.0678252
soldier	0.0675604
speedboat	0.0672371
"commuter train"	0.066804
"emergency room"	0.0664289
"motor vehicle"	0.066252
warship	0.0662468
"military police"	0.0661588
gunship	0.0661372
"station wagon"	0.0660403
volunteer	0.0659766
motorboat	0.0656748
"passenger car"	0.0656048
hospital	0.0655183
minivan	0.0653624
automobile	0.0650112
"oil tanker"	0.0645545
jet	0.0645536
commando	0.0645427
worker	0.0642956
doctor	0.0636818
"National Guard"	0.0631791
ferry	0.0631646
tugboat	0.0630896
Mercedes	0.063034
warplanes	0.0630048
servicemen	0.0628917
nurse	0.0625654
officer	0.0623298
"military personnel"	0.0618446
escort	0.0614967
semitrailer	0.0613839
technician	0.0613532
diver	0.061129
wheelchair	0.0601712
"federal agent"	0.0599462
passenger	0.0597806
"U.S. Coast Guard"	0.0595873
paratrooper	0.0595383
peacekeeper	0.0594962
"Coast guard"	0.0593278
trolley	0.0592051
freighter	0.0591934
equipment	0.0591827
battalion	0.0587595
camper	0.058443
"field hospital"	0.0583816
Mini-bus	0.0581609
shuttle	0.0575467
"container ship"	0.0575278
"operating room"	0.0575193
minivans	0.0575186
bicycle	0.0569861
SUV	0.0567154
"security guard"	0.0564888
"golf cart"	0.0564816
patrol	0.0564164
subway	0.055405
"city bus"	0.0553918
hovercraft	0.0552499
militiamen	0.0552037
SUVs	0.0551285
tent	0.0550811
truckload	0.0548846
"small boat"	0.0548726
searcher	0.0548258
demonstrator	0.054576
"FBI agent"	0.0544027
"subway train"	0.0543179
"staff member"	0.0543035
Humvee	0.0542604
"landing craft"	0.0541074
bike	0.0540879
"express train"	0.054007
destroyer	0.0538627
submarine	0.0537987
snowmobile	0.0532332
elevator	0.0532313
motorist	0.0529976
Buggy	0.0528764
inspector	0.052854
chopper	0.0527597
busload	0.0526801
"television camera"	0.0526622
tourist	0.0526147
C-@@@	0.0524555
artillery	0.052433
soliders	0.0523798
settler	0.0521126
civilian	0.0520626
bomber	0.0519614
"intelligence agent"	0.0518738
protester	0.0516815
squad	0.051411
"public transport"	0.0513277
lifeguard	0.0511385
"cable car"	0.0511264
driver	0.0510962
bodyguard	0.0507823
fighter	0.0507794
coffin	0.0505442
marshal	0.0505039
Siren	0.0503229
"stock car"	0.0502793
convertible	0.050078
clinic	0.0500674
"family member"	0.0500652
passers-by	0.0500302
BMWs	0.049962
osprey	0.0499217
"army officer"	0.0498716
"Red Cross"	0.0498349
"cargo ship"	0.0497808
villager	0.049766
))
(ambush (desc 23726.6) (sims
raid	0.156793
attack	0.154424
"bomb blast"	0.145856
massacre	0.143196
shelling	0.135794
"drive-by shooting"	0.135271
abduction	0.129227
"air raid"	0.124685
robbery	0.122096
bombing	0.121304
holdup	0.118453
killing	0.116473
kidnapping	0.115357
assault	0.111771
"surprise attack"	0.111465
clash	0.110783
assassination	0.107545
gunfight	0.105774
riot	0.105152
explosion	0.104485
rampage	0.104283
offensive	0.103635
bombardment	0.102718
counterattack	0.101404
incident	0.10087
incursion	0.100864
hijacking	0.100491
blast	0.0999715
fighting	0.0995579
shooting	0.0991705
"air attack"	0.0948822
hostage-taking	0.0942681
"armed robbery"	0.0923867
"car bomb"	0.0916086
atrocity	0.0913993
looting	0.0913783
sabotage	0.0906478
siege	0.0905274
uprising	0.0904863
skirmish	0.0881884
slaying	0.0864653
rebellion	0.0863037
shootout	0.0856771
accident	0.0849987
infiltration	0.084565
rioting	0.084262
reprisal	0.0835364
insurgency	0.0821479
gunfire	0.0819076
patrol	0.0818984
crash	0.080859
violence	0.0808264
bomb	0.0806889
mishap	0.0803477
"line of duty"	0.0802274
shoot-out	0.0799373
"coup attempt"	0.0797338
"booby trap"	0.0781758
arson	0.077531
firefight	0.077225
warfare	0.0769515
gunbattle	0.0767306
murder	0.0764406
beating	0.0750859
spree	0.0743995
heist	0.0741156
coup	0.0739737
convoy	0.0739478
provocation	0.0737685
scuffle	0.0737132
burglary	0.0732772
crackdown	0.0732619
confrontation	0.0728729
artillery	0.0728178
slaughter	0.072483
Collision	0.0722393
temblor	0.0721411
insurrection	0.0721156
Execution	0.0718022
landslide	0.0717892
firing	0.0703027
mudslide	0.0700008
sniper	0.0698572
carnage	0.0696254
torture	0.069535
genocide	0.0693684
intimidation	0.0688429
hideout	0.0688339
Stabbing	0.0683376
demonstration	0.0675211
vandalism	0.0674818
retaliation	0.0674009
derailment	0.0673572
break-in	0.0669862
airstrikes	0.0669323
shootouts	0.0668168
invasion	0.0665442
bloodshed	0.0665372
"land mine"	0.0662626
wreck	0.0662298
Quake	0.0660588
terror	0.0659208
cleansing	0.0655599
unrest	0.0653017
guerrilla	0.0652485
gunbattles	0.065127
blaze	0.0647885
roadblock	0.0644637
rape	0.0641489
mutiny	0.0639597
"fatal accident"	0.0638568
combat	0.0638353
"flash flood"	0.0638106
casualty	0.0636592
eruption	0.0634379
brawl	0.0628902
tornado	0.0626935
harassment	0.0621795
earthquake	0.062103
purge	0.061912
"civil war"	0.061771
rebel	0.0616625
"military action"	0.0615167
tragedy	0.0614528
suicide	0.0609608
aggression	0.0607273
counter-offensive	0.0603017
revolt	0.059745
Grenade	0.0596678
stampede	0.0593811
banditry	0.0593771
checkpoint	0.0592919
spill	0.0592755
landmine	0.0589804
gunmen	0.0587857
disturbance	0.0584194
stabbings	0.0582991
conflict	0.0582959
standoff	0.0580502
airstrike	0.0572664
takeover	0.0570418
mutilation	0.0569164
detention	0.0568374
captivity	0.0567107
walkout	0.0562706
outbreak	0.056195
bloodbath	0.0561431
extortion	0.0560669
disappearance	0.0559851
crossfire	0.0559793
"sexual assault"	0.0559777
"mortar fire"	0.0559671
"mass murder"	0.055734
barrage	0.0556403
brutality	0.0556353
blockade	0.0555607
famine	0.0551058
calamity	0.0550828
disaster	0.0549161
theft	0.0547415
tremor	0.0547068
minefield	0.0545241
plot	0.0543545
persecution	0.0543302
burnings	0.0542928
terrorism	0.0542206
seizure	0.0539435
stronghold	0.0539253
poisoning	0.0537257
captive	0.0537194
mugging	0.053305
"military campaign"	0.0532269
"artillery fire"	0.0527376
guerilla	0.052734
maneuver	0.0526424
crime	0.0524368
melee	0.0523642
blackmail	0.0523167
conspiracy	0.0523012
catastrophe	0.0522843
flare-up	0.0520908
lynching	0.0519262
hostage	0.0517245
commando	0.0515307
rollovers	0.0514918
desertion	0.0514213
onslaught	0.0513009
debacle	0.0512749
expulsion	0.0511476
detonation	0.0507965
resistance	0.0505906
altercation	0.0504802
spate	0.050413
homicide	0.0503393
inferno	0.0502672
conflagration	0.0498674
cordon	0.049747
shipwreck	0.0496636
escalation	0.0496054
snafu	0.0494558
))
(AMC (desc 5491.08) (sims
"Thermo Electron"	0.126881
"Gap Inc."	0.121324
Loews	0.120528
Livent	0.114721
Marketspan	0.114485
RJR	0.113805
NiSource	0.106551
Starwood	0.106001
Seagram	0.103001
PLDT	0.100077
"RJR Nabisco"	0.0957576
Asda	0.0956585
Sunbeam	0.0947906
Daimler	0.0939183
McKesson	0.0931357
YankeeNets	0.0929423
SBC	0.0928947
Raytheon	0.0925782
"News Corp."	0.0925529
Halliburton	0.091901
Texaco	0.0915655
Cendant	0.0912837
"Housing Authority"	0.0907751
Mannesmann	0.0904868
"P&AMP;G"	0.090101
"Fred Meyer"	0.0896491
"U S West"	0.0895991
MTA	0.0893447
Genzyme	0.0889659
GANNETT	0.0889544
Paxson	0.0889521
Lycos	0.0887433
"Sara Lee"	0.0884953
DaimlerChrysler	0.0884469
"Rite Aid"	0.0882285
"Cox Communications"	0.0877402
"Con Ed"	0.0876189
"National Grid"	0.0875415
"KCP&AMP;L"	0.0873657
Enron	0.0872531
BOC	0.086922
NORTHROP	0.0864082
"Dayton Hudson"	0.0863411
EarthLink	0.0862905
Tenneco	0.0861502
GPU	0.0858823
CMGI	0.0856933
AutoNation	0.0855603
"Ford Motor"	0.0854186
REVLON	0.0853446
VENATOR	0.0852898
Webvan	0.0849637
"American Home"	0.0849536
VoiceStream	0.084923
HKMA	0.0848329
CCA	0.0848238
Bertelsmann	0.0846378
"MCI WorldCom"	0.0845853
Gazprom	0.0843216
Mattel	0.0841084
Albertson's	0.0840612
BofA	0.0837805
Genentech	0.0835639
Qwest	0.083533
Honeywell	0.0834808
TDB	0.0833793
ARCO	0.0833754
Aetna	0.0833653
Lilco	0.0832209
Gymboree	0.0829207
WorldCom	0.0825972
Kroger	0.0824657
ACOG	0.0820098
Delphi	0.0819732
Scientific-Atlanta	0.0818521
"Time Warner"	0.0818444
EMC	0.0816178
"Airport Authority"	0.0814516
Norwest	0.0810712
"Telecom Italia"	0.0809812
ALZA	0.0803455
Humana	0.0800531
Pepsico	0.080045
COSCO	0.0799795
"Con Edison"	0.0796214
Monsanto	0.0795774
Federated	0.0793027
Warnaco	0.0789334
ENTERGY	0.078898
Providian	0.0788959
"Washington Mutual"	0.078781
SAirGroup	0.078776
Viacom	0.0787073
Vodafone	0.078566
DSE	0.0785627
Gillette	0.0784719
Pfizer	0.078141
TYCO	0.077973
SGI	0.0777625
Caldor	0.0775715
"Phelps Dodge"	0.0775691
Mobil	0.0774498
CITIC	0.0773222
Novartis	0.0771314
"New York Times Co."	0.0770549
USEC	0.0770482
Northpoint	0.0767792
"Russian Space Agency"	0.0766852
Safeway	0.0765852
Ba	0.0764448
Healtheon/WebMD	0.0764073
Penney	0.0762034
"BP Amoco"	0.0759246
Biogen	0.0757171
CCE	0.0757094
Litton	0.0754966
Loewen	0.0754029
oracle	0.0751739
AIG	0.0749463
Loral	0.074747
"America West"	0.0743982
Bristol-Myers	0.0743686
Compaq	0.0742766
"Bell Atlantic"	0.0741299
FTAA	0.0741226
Emulex	0.0740857
Unicom	0.0739492
Nortel	0.0739316
"Air Canada"	0.0739148
Hyundai	0.0738856
"Walt Disney Co."	0.0738795
Cablevision	0.0736236
DEP	0.0734314
CSX	0.0732815
"Global Crossing"	0.0732806
Unilever	0.0732523
LTCB	0.0730853
MP@.com	0.073078
Citigroup	0.0729089
"US Airways"	0.0726184
Amazon	0.0723184
Telkom	0.072244
GTE	0.0721567
Petrofina	0.0721488
TDC	0.0721487
Airtouch	0.0720273
Broderbund	0.0719502
"Harvard Pilgrim"	0.0718923
Icann	0.0715668
Amtrak	0.0714164
"Fannie Mae"	0.071387
"National Thoroughbred Racing Association"	0.0713796
ExciteAtHome	0.0713707
"Pac Bell"	0.0712764
Roche	0.0712507
"Red Hat"	0.0711858
Nissan	0.0710835
NatWest	0.0710816
"Chronicle Publishing"	0.071076
megaplex	0.0710606
"San Miguel"	0.0709472
Conoco	0.0709118
Warner-Lambert	0.0708383
"Deutsche Bank"	0.0707793
"John Hancock"	0.0707784
Totalfina	0.0707457
JMC	0.070676
Healtheon	0.0705465
CIRC	0.0705363
SmithKline	0.0704937
Renault	0.0704898
SDB	0.0704229
Sepracor	0.0703589
CCB	0.0703574
"Waste Management"	0.070328
ECB	0.070181
SLOC	0.0701642
"Port Authority"	0.0700848
MiniMed	0.0699199
"Stride Rite"	0.0699168
"Coca-Cola Co."	0.0697672
"Computer Associates"	0.0696368
COLTEC	0.0696357
Astra	0.069627
Goodrich	0.0695614
Nabisco	0.0694674
GM	0.0694579
Corel	0.0693977
Mazda	0.0693794
E-LOAN	0.0692837
Cisco	0.0691337
MCC	0.0690708
Checkfree	0.0690339
"Johnson &AMP; Johnson"	0.0690295
"Boston Scientific"	0.0689852
Pairgain	0.0689693
Transamerica	0.0689124
Merrill	0.0689121
Kia	0.0689074
Celera	0.0688423
))
(AmCham (desc 1424.28) (sims
CCPIT	0.164439
CPAFFC	0.153261
"Banking Committee"	0.15198
CCF	0.146743
CMAG	0.14236
DLC	0.140487
"House International Relations Committee"	0.136281
ARATS	0.135324
"Rules Committee"	0.133859
held	0.133473
"Business Council"	0.129683
"House Budget Committee"	0.127825
JMC	0.125158
CIRC	0.120592
ICA	0.11989
"Commerce Committee"	0.119613
SFC	0.118874
"Foreign Relations Committee"	0.118847
"Russian Duma"	0.118386
WEF	0.118007
"Chinese NPC"	0.116677
"Hong Kong Tourist Association"	0.111993
TDC	0.111704
"Congressional Black Caucus"	0.111159
"Health and Welfare Ministry"	0.109769
"Public Service Commission"	0.108797
"Senate Governmental Affairs Committee"	0.108708
ACFTU	0.108595
"Ways and Means Committee"	0.108091
"Senate Budget Committee"	0.106134
Histadrut	0.105767
"Caribbean Community"	0.105457
SPDC	0.105297
ABA	0.104473
"Airport Authority"	0.104107
"Appropriations Committee"	0.10333
"Association of Flight Attendants"	0.103298
"Atomic Energy Commission"	0.102456
"Senate Appropriations Committee"	0.101972
NDP	0.101715
BSA	0.101397
NEA	0.100925
IEC	0.100856
RNC	0.10082
"Mormon Church"	0.100502
PATA	0.100483
"U.S. Chamber of Commerce"	0.100372
LIFFE	0.100368
PECC	0.0994977
SDS	0.0993394
IPU	0.0992817
Totalfina	0.0985896
"machinists union"	0.0984289
"Urban League"	0.0981381
"chamber of commerce"	0.0972386
"CPPCC National Committee"	0.0971392
"House Banking Committee"	0.0969788
SCLC	0.096811
CCM	0.0967227
"Federal Reserve Board"	0.0962342
YankeeNets	0.0955634
CCC	0.0951035
PCC	0.0949376
"PLO Executive Committee"	0.0946252
DSE	0.0942281
"House Government Reform Committee"	0.0941195
CMA	0.0940535
"Organizing Committee"	0.0938589
Eximbank	0.0928442
SDB	0.0928121
CEC	0.0928093
"International Badminton Federation"	0.0927209
"Senate Armed Services Committee"	0.0925986
"Hongkong Telecom"	0.0922994
ADL	0.0919836
Wada	0.0917722
"Senate Banking Committee"	0.0911924
ama	0.0910457
CNTA	0.0909365
"Senate Commerce Committee"	0.0894475
"Independence Party"	0.0890923
"Republican National Committee"	0.0890809
UPC	0.0879671
CMC	0.0877116
NSC	0.0877067
"Commonwealth Ministerial Action Group"	0.0875657
Marketspan	0.0874504
OCA	0.0873849
"National Transportation Safety Board"	0.0873499
"Nahdlatul Ulama"	0.0872097
"House Appropriations Committee"	0.0869997
"Congressional Democrats"	0.086868
ZCTU	0.0867724
WIPO	0.0866869
NCEC	0.0860735
VFW	0.0860625
KPU	0.0859153
PBSI	0.0858954
"Jatiya Party"	0.0857743
NRM	0.085748
CDU	0.0853071
"Chinese Olympic Committee"	0.0851302
SEF	0.0851264
AHA	0.0849807
"Housing Authority"	0.0847608
EC	0.0847427
"Electoral Commission"	0.0845754
"House Commerce Committee"	0.0844858
"Salt Lake Organizing Committee"	0.084032
"Supreme Council"	0.0839571
HKTA	0.0839195
TDB	0.0837264
"Provisional Legislative Council"	0.0836903
CSRC	0.0831458
Laban	0.0831338
"Democratic Alliance"	0.0830467
UMNO	0.0824985
CBI	0.0823085
"IG Metall"	0.0819218
CAA	0.0818997
KONI	0.0818952
MPLA	0.0818904
"Securities Industry Association"	0.0818619
DPP	0.0818508
"Red Cross Society"	0.0817754
CDB	0.081586
"Local @@"	0.0813797
KPA	0.081351
"Air Line Pilots Association"	0.0811645
"United States Congress"	0.0810587
"Democratic Congressional Campaign Committee"	0.0808323
UUP	0.0807801
Cablevision	0.0805774
"National Education Association"	0.08045
"Palestinian Council"	0.0800335
IGAD	0.0795039
"U.S. Soccer Federation"	0.0792641
MMD	0.0786461
ICI	0.0785996
ADB	0.0785826
SDP	0.0785661
"Olympic Committee"	0.0785471
"International Ski Federation"	0.0781512
"Senate Foreign Relations Committee"	0.0776639
NAACP	0.0774073
UNIP	0.0773332
ICRC	0.0772637
CITIC	0.0770896
NAM	0.0769147
FOMC	0.0769119
"District Council"	0.0769112
COMESA	0.0767238
"Senate Finance Committee"	0.0766642
DAP	0.0765035
"Board of Supervisors"	0.0761338
Renamo	0.0760635
"Yomiuri Shimbun"	0.0760386
E.U	0.0759676
"United Way"	0.0759609
NKP	0.0758112
"Screen Actors Guild"	0.0757897
"Tung Chee Hwa"	0.0755959
"Secretary General Esmat Abdul-Meguid"	0.0754255
AARP	0.0754231
CPPCC	0.0752273
CSE	0.0751728
PUC	0.0750717
CSC	0.0749041
"House Ways and Means Committee"	0.0745795
"Allied Pilots Association"	0.0745194
UTC	0.0743922
FRELIMO	0.0743106
"business organization"	0.0741044
ACWF	0.0740864
CPP	0.0739565
"All-China Youth Federation"	0.0738991
Pickering	0.0738305
"Palestine National Council"	0.0737313
"Sdn Bhd"	0.0737018
Starwood	0.0736162
"Wine Institute"	0.0735436
Gymboree	0.0733632
"Operation Rescue"	0.0732634
"Hong Kong Monetary Authority"	0.0731743
"NPC Standing Committee"	0.0729049
"National Defense Commission"	0.0728587
G-@@	0.0728051
ESCAP	0.0727547
FN	0.072667
Consulate-General	0.0725641
Tat	0.072521
"Senate Judiciary Committee"	0.0725205
"National Committee"	0.0724678
"National Economic Council"	0.0723617
OIC	0.0723161
"United Steelworkers"	0.0722526
"General Council"	0.0722314
"General Committee"	0.072155
FORD-Kenya	0.0721475
Ito	0.0721209
))
(AMD (desc 8998.22) (sims
"Advanced Micro Devices"	0.259166
"Advanced Micro"	0.233749
"Intel Corp."	0.158426
Intel	0.156985
Motorola	0.149547
Compaq	0.147461
Transmeta	0.144908
Cisco	0.144751
IBM	0.132935
Cyrix	0.13275
EMC	0.132723
Hewlett-Packard	0.129513
Nortel	0.127467
Broadcom	0.125839
"Advanced Micro Devices Inc."	0.123608
HP	0.121771
Dell	0.121411
Qualcomm	0.120521
Gillette	0.119134
Honeywell	0.116683
Amgen	0.116243
"National Semiconductor"	0.116199
Micron	0.11615
Lucent	0.11396
"Micron Technology"	0.111747
"Applied Materials"	0.111413
Kodak	0.110763
ascend	0.109587
Sunbeam	0.108259
Ericsson	0.108095
"Silicon Graphics"	0.106986
"Texas Instruments"	0.106308
Mattel	0.105925
"Compaq Computer"	0.105693
"Northern Telecom"	0.105096
oracle	0.104564
"Dell Computer"	0.104475
"Hewlett Packard"	0.103665
Nokia	0.103566
MiniMed	0.10334
Corel	0.102995
"Dell Computer Corp."	0.102956
Seagate	0.102755
Intergraph	0.102226
Ciena	0.10114
Scientific-Atlanta	0.100653
Raytheon	0.100297
Starwood	0.100201
RealNetworks	0.0982269
"Apple Computer"	0.0981393
"Cisco Systems"	0.0978847
"Motorola Inc."	0.0967669
Emulex	0.0966187
"Sun Microsystems"	0.0955346
RJR	0.0955001
TYCO	0.0952428
Athlon	0.0936254
ALZA	0.093173
Litton	0.0919907
Pentium	0.0914028
Cabletron	0.0913803
"Stride Rite"	0.091
Symantec	0.0901903
Alcoa	0.0901068
Kellogg	0.0898729
Maytag	0.0897636
"JDS Uniphase"	0.0897631
"Lucent Technologies"	0.0890484
"Compaq Computer Corp."	0.0889039
adobe	0.0887977
"P&AMP;G"	0.0886546
Vitesse	0.0880781
NCR	0.0875813
Pitney	0.0866909
Gilead	0.0865655
"General Electric"	0.0859439
RAMBUS	0.0857956
Schwab	0.0856269
Polaroid	0.0855568
"Pentium III"	0.0851521
XYLAN	0.0849484
"Adobe Systems"	0.0849224
"Computer Associates"	0.0847085
Delphi	0.0846735
Aetna	0.0840374
"Hewlett-Packard Co."	0.0840129
Hewlett	0.0837946
Novell	0.0836243
"Procter &AMP; Gamble"	0.0831008
"Johnson &AMP; Johnson"	0.0830359
Netscape	0.082818
HBOC	0.0824029
CCE	0.0823503
Ti	0.0822527
DaimlerChrysler	0.0822378
Pfizer	0.0820999
Xerox	0.0820573
Genzyme	0.0819681
AutoNation	0.0819415
Biogen	0.081829
Ge	0.0817736
"United Technologies"	0.0814542
"J&AMP;J"	0.0812048
Genentech	0.0809947
"Pentium II"	0.0809762
Pepsico	0.0808441
Celeron	0.0808345
Warner-Lambert	0.0804565
"Union Carbide"	0.0802998
emachines	0.0802801
ExciteAtHome	0.0802105
Merrill	0.080028
McKesson	0.0800037
NEC	0.0799244
Goodyear	0.0794656
Hitachi	0.0793025
"Eastman Kodak"	0.0792455
SGI	0.0788791
Stratus	0.0788182
"Coca-Cola Co."	0.0785107
Boeing	0.0784552
SmithKline	0.0780654
"MCI WorldCom"	0.0780362
CMGI	0.077908
TRW	0.0778441
Bestfoods	0.0778324
Sony	0.0777906
Webvan	0.0777036
Informix	0.0776139
Mannesmann	0.0775861
"Apple Computer Inc."	0.0775302
"BP Amoco"	0.077402
"HBO &AMP; Co."	0.0771636
"Rite Aid"	0.0769106
Broderbund	0.0768593
Weyerhaeuser	0.0768023
EarthLink	0.0766912
Healtheon	0.0764062
"Network Associates"	0.0763015
TELLABS	0.0761784
Microsoft	0.0761019
Checkfree	0.0759621
AHP	0.0758214
S@	0.07566
Hasbro	0.0756577
Chiron	0.0756128
Merck	0.0755501
Enron	0.0754967
Dupont	0.0754277
"Nortel Networks"	0.0753784
Unilever	0.0753768
SBC	0.0753301
Sepracor	0.0753009
GTE	0.0752642
BankAmerica	0.0752552
WPP	0.0752533
Halliburton	0.0751094
Toshiba	0.0750356
UAL	0.0749145
VENATOR	0.074816
Unisys	0.0748023
"Lockheed Martin"	0.0747811
"Global Crossing"	0.0747555
Bayer	0.0747001
"Waste Management"	0.0746984
"Thermo Electron"	0.0744038
NiSource	0.0741482
Agilent	0.0740318
apple	0.0739618
"Oracle Corp."	0.0739551
Tenneco	0.0738913
"Cisco Systems Inc."	0.0737684
"Pacific Century"	0.0735688
Daimler	0.0732034
PEOPLESOFT	0.073138
Alcatel	0.073136
GM	0.0729616
BOC	0.0729553
CNET	0.0724867
REVLON	0.0723612
Lockheed	0.07235
"Glaxo Wellcome"	0.0723158
ENTREMED	0.0722579
Viacom	0.072189
Cendant	0.0721261
MindSpring	0.072115
Penney	0.0719397
Lycos	0.0719008
Warnaco	0.0712028
COLTEC	0.0710962
"Gap Inc."	0.0709393
"Sun Microsystems Inc."	0.0707724
Reebok	0.0706062
"Learning Co."	0.0702135
Livent	0.0701948
PictureTel	0.0701511
Geron	0.070107
"American Home"	0.0700577
UBS	0.0699668
digital	0.0696074
))
(Amedure (desc 2136.36) (sims
Dahmer	0.179717
Moxley	0.177599
Fahey	0.148988
Starovoitova	0.145165
Byrdsong	0.142331
Bellush	0.139213
Guerin	0.138264
Webdale	0.137587
Slepian	0.13727
Hani	0.135683
Gaither	0.130657
Binion	0.126411
Winchell	0.125932
Youk	0.125138
Ileto	0.124478
Snead	0.118365
Norberg	0.117831
Dudayev	0.114892
Dorismond	0.111475
Gerardi	0.109903
Baez	0.109687
Hajdari	0.109673
Fassett	0.108784
Middleton	0.107651
Ricart	0.105887
Neulander	0.102511
Diallo	0.102299
Zapruder	0.102026
Naumann	0.0987726
Faison	0.0915864
Raznatovic	0.0912679
"JonBenet Ramsey"	0.0910426
Curley	0.0906901
Benton	0.0904387
Lawler	0.089974
Yandarbiyev	0.0898044
JonBenet	0.0896933
Galindo	0.0888591
Capano	0.0885519
Shepard	0.0884026
Phills	0.08775
Byrd	0.0877424
Stayner	0.0875322
Herron	0.0870915
Abiola	0.0868805
Krasniqi	0.0867289
Burks	0.0863829
Grunow	0.0861377
Biko	0.0858186
Lennon	0.085399
"Ruiz Massieu"	0.0837497
Cosby	0.0824284
Escobar	0.0820685
Abernathy	0.0801712
"Amadou Diallo"	0.0801304
Rabin	0.0799353
"James Byrd"	0.0798808
"James Byrd Jr."	0.079674
Laudrup	0.0795958
Gathers	0.0786807
Sheppard	0.0786466
Leto	0.0783713
Arkan	0.0780873
Atkinson	0.0780192
"Matthew Eappen"	0.0777243
Byers	0.0776149
Costin	0.0774369
Cobain	0.0773887
Nkomo	0.0767987
Machel	0.0762786
Phelan	0.0762607
Nugent	0.0761479
DuBose	0.0758066
"Patrick Dorismond"	0.0755597
Perrot	0.0754339
Riady	0.0745334
Bulatovic	0.0743337
Zamora	0.0736761
Ulrich	0.0733668
Skakel	0.0732243
Hurtado	0.0728728
Yoon	0.0727251
Coughlin	0.0726893
Kajiyama	0.0726443
Matasareanu	0.0724157
Martorano	0.0723872
Loeb	0.0717859
Margolis	0.0713061
bock	0.0702118
Gosper	0.0694926
McPherson	0.0692597
McCurry	0.0689145
Turek	0.0688484
Faget	0.0685847
Howell	0.0679903
Osmond	0.067882
"Matthew Shepard"	0.0675576
Cynthia	0.0672226
Kalejs	0.0666692
Zhivkov	0.0665867
Figueroa	0.0663676
Watkins	0.0663292
Angelica	0.0662524
Selena	0.0658738
Hartman	0.0657583
Silverman	0.0655882
Beye	0.0655559
Udall	0.0652797
McCartney	0.0652514
Hiett	0.0648899
Lugo	0.0641535
Klebold	0.064008
Tierney	0.0639417
Wilkerson	0.0638604
RFK	0.0636483
O'Hair	0.0635759
Nkabinde	0.0635677
Habib	0.0632241
Murad	0.0630412
Babitsky	0.0629064
Oswald	0.0623024
Maradona	0.0621852
"Lee Harvey Oswald"	0.0621789
Coverdell	0.0621642
Merritt	0.0616743
bailiff	0.0615929
Siskel	0.0615352
Bonanno	0.0608871
Hobson	0.0608507
Imperatori	0.0605083
Berenson	0.0604749
Shurmur	0.0602458
Carnegie	0.0602436
Hendrix	0.0600197
Durwood	0.0595203
Goldstein	0.0592308
Landry	0.0591808
Tarawneh	0.0591186
Borrego	0.0589125
Arizmendi	0.0587965
Reinhardt	0.058744
Whitehead	0.0585699
Lambert	0.0584866
Mikhailov	0.058399
Corcoran	0.0583842
Dalton	0.0583196
wheeler	0.0582808
Montalvo	0.0581833
Kerik	0.0580565
Oppenheimer	0.0579604
Rosenberg	0.0579443
Aquino	0.0577062
Yastrzhembsky	0.0576965
Gillick	0.0576096
ex-husband	0.0575903
Arad	0.0575004
Padilla	0.0573661
Hinckley	0.056811
Kasoulides	0.0566246
Cusack	0.0565416
Gurule	0.0565205
Suarez	0.0563571
shalt	0.056343
Odai	0.0562605
Woodson	0.0561913
Aleman	0.0561519
Gaston	0.0561044
Khalil	0.0558351
Hirschfeld	0.0556937
Palczynski	0.0555917
Bronfman	0.0555471
Sheehan	0.0555297
Ruelas	0.0554703
Shulman	0.0554375
Stahl	0.0554184
Schaeuble	0.0551217
Biggs	0.0551215
Timmy	0.0550773
Munoz	0.0550716
MCGEE	0.0550458
Wenger	0.0549554
Nivel	0.0549161
Alydar	0.0548543
patrolman	0.0548394
Nasrin	0.0546518
Ashbrook	0.0545662
Hess	0.0542316
Kearney	0.0541597
Chafee	0.0538551
Pinto	0.0537104
Husseini	0.0535254
motorcyclist	0.0533173
Kodikian	0.0533124
Vasquez	0.0532564
Garzon	0.0532254
Soares	0.0530427
Mei	0.0530287
Abacha	0.0528214
Nakata	0.0525719
D'Amico	0.052519
))
(Amelia (desc 1061.98) (sims
Jenna	0.0755524
LANIER	0.0741282
Sakhalin	0.0722309
Meg	0.0721513
Jekyll	0.0708201
Malvinas	0.0700216
Sipadan	0.0679698
"South Atlantic"	0.0671034
Doan	0.066436
Miyake	0.0653853
Galapagos	0.0644132
Batam	0.0631301
Phillip	0.0607882
"Abu Musa"	0.0607272
Chesterfield	0.059807
Bougainville	0.0595169
Alcott	0.0589261
Sasha	0.0579408
Juli	0.0569778
Meredith	0.0566966
foodies	0.0553715
"Western Pacific"	0.0551746
Kyushu	0.0551703
"Three Mile"	0.0546128
"Outer Banks"	0.0539736
Luzon	0.0538548
harbour	0.0534075
Catalina	0.0530415
Millie	0.0518212
Sulawesi	0.0517558
"rock and roll"	0.0507277
Alison	0.0507001
cayman	0.0499428
"Far Eastern"	0.0495419
Palawan	0.0486686
"Fred Claire"	0.0480321
Irina	0.0478705
Sophie	0.0478175
smallholder	0.0476722
"South Georgia"	0.0476448
colleen	0.0476273
Polynesian	0.0473275
maiming	0.0463265
"Running Stag"	0.0462589
Karenna	0.0461391
Kristin	0.0449291
shoplifter	0.0448523
Provencal	0.0448236
Bocelli	0.044806
Lori	0.0444888
"Karenna Gore Schiff"	0.0443256
Madeira	0.0440064
"bird watcher"	0.0439491
Maltese	0.0438163
Vivian	0.0434684
hatchet	0.0431821
Sara	0.0431115
Alcatraz	0.0426695
Roba	0.0423821
Allah	0.0421869
"English Channel"	0.0420993
Steffi	0.04175
Beatrice	0.0415107
Eileen	0.0415057
alumnae	0.0414729
"Parent Trap"	0.0413909
major-leaguers	0.0413555
wrongdoer	0.0410921
"St. Kitts"	0.0409998
"Matthew Eappen"	0.040821
Banda	0.0407689
ISABEL	0.0405356
))
("Amelia Earhart" (desc 1531.07) (sims
"Charles Lindbergh"	0.144492
"James Dean"	0.0861805
"Madalyn Murray O'Hair"	0.0844729
O'Hair	0.0718297
"Yoko Ono"	0.069978
mastodon	0.0607499
"Robert F. Kennedy"	0.0597801
"JFK Jr."	0.0586628
"Carole Sund"	0.0572106
"Malcolm X"	0.0564692
"Janis Joplin"	0.0557715
Fahey	0.0555116
"Rosa Parks"	0.0532834
"Czar Nicholas II"	0.0529566
"John Belushi"	0.0510638
"Andy Warhol"	0.0506111
"Frederick Douglass"	0.0491167
"Ulysses S. Grant"	0.0488473
"Mars Polar Lander"	0.0486797
"Brian Jones"	0.0463907
"steam locomotive"	0.0454145
"Marlene Dietrich"	0.0453805
Neanderthal	0.0451022
eyeglasses	0.0449949
"Kurt Cobain"	0.0449915
"Dwight Eisenhower"	0.0438658
"Karl Marx"	0.0433676
"Marx Brothers"	0.0428652
"Neil Armstrong"	0.0420413
dilettante	0.0417141
sightseer	0.0417058
"Margaret Mitchell"	0.0412618
"Abbie Hoffman"	0.0406025
"Andrei Babitsky"	0.0405417
"Mars Climate Orbiter"	0.0403221
matchmaker	0.0401288
"Ingrid Bergman"	0.0400866
))
("Amelie Mauresmo" (desc 4554.31) (sims
"Sandrine Testud"	0.367263
"Nathalie Tauziat"	0.363694
"Mary Pierce"	0.353602
"Nathalie Dechy"	0.351413
"Julie Halard-Decugis"	0.344935
"Nicolas Escude"	0.341553
"Anne-Gaelle Sidot"	0.332818
"Anke Huber"	0.331452
"Arnaud Di Pasquale"	0.329931
"Guillaume Raoux"	0.322435
"Arnaud Clement"	0.315802
"Jerome Golmard"	0.314966
"Sebastien Grosjean"	0.310877
"Ai Sugiyama"	0.309789
"Arnaud Boetsch"	0.305667
"Sarah Pitkowski"	0.303624
"Patty Schnyder"	0.294229
"Silvia Farina"	0.289585
"Cedric Pioline"	0.2878
"Elena Dementieva"	0.287529
"Natasha Zvereva"	0.287454
"Amanda Coetzer"	0.286859
"Chanda Rubin"	0.284665
"Dominique Van Roost"	0.277806
"Elena Likhovtseva"	0.276809
"Alexandra Fusai"	0.276212
"Conchita Martinez"	0.27547
"Marat Safin"	0.2686
"Magui Serna"	0.268592
"Mariano Puerta"	0.267847
"Kenneth Carlsen"	0.26616
"Irina Spirlea"	0.26608
"Fabrice Santoro"	0.266065
"Iva Majoli"	0.265165
"Alberto Berasategui"	0.263983
"Albert Portas"	0.261088
"Adrian Voinea"	0.259873
"Ruxandra Dragomir"	0.259488
"Tamarine Tanasugarn"	0.258988
"Francisco Clavet"	0.25814
"Younes El Aynaoui"	0.255848
"Judith Wiesner"	0.253348
"Arantxa Sanchez Vicario"	0.251733
"Marc Rosset"	0.251385
"Anna Kournikova"	0.250279
"Hicham Arazi"	0.250136
"Anne Kremer"	0.24929
"Tommy Haas"	0.248696
"Jennifer Capriati"	0.248525
"Ramon Delgado"	0.246451
"Xavier Malisse"	0.245872
"Nicolas Kiefer"	0.245641
"Sabine Appelmans"	0.243808
"Mariano Zabaleta"	0.24377
"Richard Fromberg"	0.241989
"Andrei Medvedev"	0.241853
"Tatiana Panova"	0.241209
"Mary Joe Fernandez"	0.240989
"Magdalena Maleeva"	0.240653
"Felix Mantilla"	0.240005
"Carlos Moya"	0.239968
"Venus Williams"	0.239128
"Arantxa Sanchez-Vicario"	0.239108
"Andrei Pavel"	0.239006
"Hernan Gumy"	0.238922
"Serena Williams"	0.238255
"Jelena Dokic"	0.238251
"Monica Seles"	0.238195
"Roger Federer"	0.236127
"Thomas Johansson"	0.235849
"Scott Draper"	0.235639
"Miriam Oremans"	0.234789
"Christian Ruud"	0.234552
"Corina Morariu"	0.233947
"Franco Squillari"	0.231233
"Jana Novotna"	0.230934
"Juan Carlos Ferrero"	0.230759
"Barbara Schett"	0.230072
"MaliVai Washington"	0.228604
"Sergi Bruguera"	0.228274
"Amy Frazier"	0.228058
"Alex Corretja"	0.227533
"Mark Philippoussis"	0.227528
"Alberto Costa"	0.227385
"Thomas Enqvist"	0.226526
"Naoko Sawamatsu"	0.226472
"Galo Blanco"	0.224982
"Mirjana Lucic"	0.224747
"Albert Costa"	0.222047
"Carlos Costa"	0.221729
"Magnus Norman"	0.220791
"Barbara Paulus"	0.220708
"Magnus Gustafsson"	0.22009
"Thomas Muster"	0.219881
"Cara Black"	0.219604
"Joannette Kruger"	0.219019
"Els Callens"	0.218986
"Brenda Schultz-McCarthy"	0.218119
"Jan-Michael Gambill"	0.217906
"Fernando Meligeni"	0.216696
"Leander Paes"	0.216517
"Florencia Labat"	0.216102
"Nicolas Lapentti"	0.216065
"Kim Clijsters"	0.215915
"Yayuk Basuki"	0.215837
"Jason Stoltenberg"	0.215561
"Andrea Gaudenzi"	0.215067
"Michael Chang"	0.214427
"Goran Ivanisevic"	0.214085
"Rainer Schuttler"	0.213636
"Andreas Vinciguerra"	0.213042
"Rita Grande"	0.212749
"Byron Black"	0.212683
"Karol Kucera"	0.21139
"Mikael Tillstrom"	0.211367
"Lindsay Davenport"	0.211216
"Jeff Tarango"	0.211148
"Sjeng Schalken"	0.21087
"Renzo Furlan"	0.210533
"David Prinosil"	0.210056
"Dominik Hrbaty"	0.209617
"Neville Godwin"	0.20908
"Wayne Ferreira"	0.209061
"Juan Antonio Marin"	0.209015
"Tara Snyder"	0.206459
"Petr Korda"	0.206064
"Vincent Spadea"	0.206005
"Gustavo Kuerten"	0.205542
"Greg Rusedski"	0.204289
"Grant Stafford"	0.204006
"Lisa Raymond"	0.203829
"Jonas Bjorkman"	0.2038
"Sargis Sargsian"	0.203773
"Paul Haarhuis"	0.203367
"Kimiko Date"	0.20235
Siemerink	0.201558
"Davide Sanguinetti"	0.200961
"Brett Steven"	0.200892
"Julian Alonso"	0.199979
"Karim Alami"	0.197933
"Martina Hingis"	0.197887
"Tim Henman"	0.197561
"Todd Martin"	0.1975
"Filip Dewulf"	0.19745
"Marcelo Filippini"	0.197375
"Justin Gimelstob"	0.197137
"Richard Krajicek"	0.196849
"Gianluca Pozzi"	0.196513
"Kristie Boogert"	0.196111
"Max Mirnyi"	0.195362
"Asa Carlsson"	0.195152
"American Chanda Rubin"	0.194607
"Steve Campbell"	0.191742
"Marcelo Rios"	0.191033
"Guy Forget"	0.19075
"Olga Barabanschikova"	0.190462
"Yevgeny Kafelnikov"	0.190198
"Wayne Black"	0.190122
"Todd Woodbridge"	0.189946
"Magnus Larsson"	0.188644
"American Todd Martin"	0.188524
"Andrew Ilie"	0.18807
"Javier Sanchez"	0.187793
"Lleyton Hewitt"	0.187584
"Sebastien Lareau"	0.187178
"Karina Habsudova"	0.185925
"Mark Woodforde"	0.184689
"Mark Knowles"	0.184094
"Marcos Ondruska"	0.182482
"Michael Stich"	0.182191
"John Van Lottum"	0.180995
"Steffi Graf"	0.180873
"Barbara Rittner"	0.180442
"Patrick Rafter"	0.179774
"Australian Mark Philippoussis"	0.178524
"Daniel Nestor"	0.177986
"Bohdan Ulihrach"	0.177614
"Kimberly Po"	0.177595
"Li Fang"	0.177451
"Olivier Delaitre"	0.175024
"Catalina Cristea"	0.174761
"Boris Becker"	0.174083
"Henrieta Nagyova"	0.173439
"American Lindsay Davenport"	0.172142
"Martin Damm"	0.171886
"Jim Courier"	0.170472
"Michael Tebbutt"	0.169712
"Pat Rafter"	0.168166
"Christine Arron"	0.16762
"Andre Agassi"	0.165493
"South African Amanda Coetzer"	0.165473
"Lori McNeil"	0.165174
"Mahesh Bhupathi"	0.162316
"Slava Dosedel"	0.161967
"Chris Woodruff"	0.160582
"Vince Spadea"	0.160018
"Andres Gomez"	0.159917
"Paola Suarez"	0.158665
"Nicole Pratt"	0.158229
"Stefan Edberg"	0.15649
Kroslak	0.156336
"Daniel Vacek"	0.15632
Dragomir	0.155185
"Jonathan Stark"	0.153646
Enqvist	0.15325
"Nicklas Kulti"	0.152279
"Jean-Philippe Gatien"	0.152054
Pioline	0.151885
"Richey Reneberg"	0.151194
"Jiri Novak"	0.150051
"Barbara Schwartz"	0.149035
"Alexandra Stevenson"	0.148289
Sanchez-Vicario	0.148173
Halard-Decugis	0.146753
"Kveta Hrdlickova"	0.144584
"Gong Zhichao"	0.144459
"Helena Sukova"	0.143759
Berasategui	0.142314
Likhovtseva	0.14136
Testud	0.140884
Mauresmo	0.138707
Rusedski	0.138684
Swardt	0.138394
Kournikova	0.138378
"Russian Yevgeny Kafelnikov"	0.138079
"Adriana Gersi"	0.138016
"Rika Hiraki"	0.136896
Corretja	0.136701
"Alex O'Brien"	0.136237
Kuerten	0.13463
Kafelnikov	0.133359
"Paul Goldstein"	0.133227
"Wayne Arthurs"	0.132951
"Olympique Marseille"	0.131972
"Dennis van Scheppingen"	0.130927
Zvereva	0.130838
"Denisa Chladkova"	0.12967
Bjorkman	0.129229
Mantilla	0.128844
"Jacco Eltingh"	0.12883
"Didier Auriol"	0.128099
"Rodney Eyles"	0.125625
"Taufik Hidayat"	0.124564
"Pete Sampras"	0.123547
"Wang Liqin"	0.123512
Rosset	0.123488
"Ong Ewe Hock"	0.123441
Ivanisevic	0.123271
Tauziat	0.122362
"Vladimir Samsonov"	0.122044
Novotna	0.121854
"Peter Rasmussen"	0.121659
"Wang Shi-Ting"	0.121592
Kucera	0.120494
Stoltenberg	0.120175
"Dai Yun"	0.119712
Hingis	0.119411
Seles	0.117451
"Ye Zhaoying"	0.116492
rios	0.115239
"Marie-Jose Perec"	0.115088
Safin	0.114703
Dosedel	0.114419
Bruguera	0.11411
Majoli	0.113493
Capriati	0.113446
"Mia Audina"	0.113423
"Heryanto Arbi"	0.113029
"Diego Nargiso"	0.112552
"Budi Santoso"	0.112453
Moya	0.112418
"Ma Lin"	0.111681
"Janet Lee"	0.111419
"Peter Nicol"	0.111231
"Van Roost"	0.110296
Coetzer	0.110206
"Colo Colo"	0.109132
"Sandon Stolle"	0.108693
Henman	0.108565
"Peter Gade Christensen"	0.108309
Philippoussis	0.108151
Schalken	0.107595
Clavet	0.106847
"Camilla Martin"	0.106797
"Li Ju"	0.106514
Spadea	0.106144
Hendrawan	0.105539
"American Andre Agassi"	0.105456
"Gong Ruina"	0.10501
"American Michael Chang"	0.104775
"Dong Jiong"	0.104632
"Liu Guoliang"	0.10463
"Zhang Ning"	0.104075
Korda	0.103694
Krajicek	0.103607
"Xia Xuanze"	0.102564
"American Pete Sampras"	0.101059
"Jan-Ove Waldner"	0.100916
"Briton Greg Rusedski"	0.100793
Sugiyama	0.100774
))
(amen (desc 3378.5) (sims
boo	0.128654
whoop	0.105754
jeer	0.0849572
wail	0.0744547
guffaw	0.0729051
"Happy Birthday"	0.0723922
snort	0.0712055
shriek	0.0663071
applause	0.0652874
catcall	0.0630896
laughter	0.0628433
assent	0.0604057
"Earl Spencer"	0.0545804
murmur	0.0542611
"three words"	0.0535243
rejoinder	0.0528832
"Salim Saleh"	0.0528599
exclamation	0.0524077
hello	0.0511075
"standing ovation"	0.050533
ovation	0.0504002
peep	0.0501654
obscenity	0.0491795
Anglo-Saxon	0.0486276
singsong	0.0486182
bravo	0.0484576
squeal	0.0482592
"ultraviolet light"	0.0472552
derision	0.0467397
send-off	0.0460099
expletive	0.0458615
Hi	0.0457681
"sonic boom"	0.0448311
"Hail Mary"	0.0442168
"nursery rhyme"	0.043102
Allah	0.0430969
yelp	0.0423668
Chorale	0.0415554
denouncement	0.0411433
nigger	0.0410637
epilogue	0.040244
))
(amendment (desc 84804.5) (sims
legislation	0.24343
bill	0.211099
provision	0.199255
measure	0.19287
proposal	0.187331
revision	0.167607
law	0.163265
resolution	0.154561
constitution	0.150592
Ordinance	0.148925
Treaty	0.147186
initiative	0.137414
regulation	0.136464
statute	0.134088
clause	0.12715
motion	0.124766
"Bill of Rights"	0.123404
reform	0.122669
"tax cut"	0.122496
plan	0.120748
decree	0.118567
ban	0.117779
change	0.116007
"Proposition @@"	0.115388
restriction	0.115343
agreement	0.114763
"trade bill"	0.113867
"Proposition @@@"	0.113577
referendum	0.113445
guideline	0.112993
policy	0.111353
accord	0.108719
compromise	0.108624
rule	0.106998
charter	0.1064
"First Amendment"	0.105848
"gun control"	0.105469
recommendation	0.104397
repeal	0.104374
pact	0.101627
"tax increase"	0.100979
decision	0.100905
"U.S. Constitution"	0.100617
package	0.100411
overhaul	0.100262
modification	0.100136
ratification	0.0981399
censure	0.0972387
vote	0.0963534
article	0.0944528
Declaration	0.0941405
budget	0.093136
action	0.0920647
document	0.0920033
ruling	0.0915826
requirement	0.0902595
impeachment	0.0901424
sanction	0.0897585
"tax bill"	0.0895539
agenda	0.0875752
draft	0.0875262
alternative	0.0873855
code	0.0869585
directive	0.0868948
procedure	0.086765
protocol	0.086051
program	0.0856128
approval	0.085061
"tax break"	0.0849839
issue	0.0849439
passage	0.0845574
voucher	0.084359
nomination	0.0836236
language	0.0835675
limit	0.0826879
deal	0.0814213
standard	0.0807304
act	0.0807269
adoption	0.0807008
tax	0.0806964
preamble	0.0800059
extension	0.079975
"death penalty"	0.0798302
arrangement	0.0794634
wording	0.0791198
PNTR	0.0788119
strategy	0.0786528
appointment	0.078116
statement	0.0778342
principle	0.0775607
settlement	0.0771381
debate	0.0769493
moratorium	0.0768741
proposition	0.0767755
solution	0.0767095
merger	0.076371
request	0.0759544
petition	0.0756955
abortion	0.0754983
prohibition	0.0754621
approach	0.0754437
funding	0.0753105
withdrawal	0.0752286
veto	0.0749159
Implementation	0.074776
enforcement	0.0739773
exemption	0.0739508
stipulation	0.0738717
framework	0.0734458
effort	0.0732347
cut	0.0730485
interpretation	0.0727336
"criminal law"	0.0727267
adjustment	0.0726148
remedy	0.0724542
scheme	0.0723963
"spending cut"	0.0723326
removal	0.0723097
embargo	0.0722665
renewal	0.0722234
suggestion	0.072133
Privatization	0.0718717
objection	0.0718483
"budget cut"	0.0716798
inquiry	0.0715031
intervention	0.0714918
version	0.0710442
blueprint	0.0710123
mandate	0.0710017
concession	0.0708844
attempt	0.0708464
idea	0.0708089
lawsuit	0.0705922
"capital punishment"	0.0704463
disclosure	0.0701993
Dismissal	0.0701853
Senate	0.0700551
expansion	0.0700551
candidacy	0.0700423
"Comprehensive Test Ban Treaty"	0.069915
"policy change"	0.0698766
deployment	0.0696886
reduction	0.0695022
memorandum	0.0694835
"development plan"	0.0693669
step	0.0692615
amnesty	0.0691747
doctrine	0.0687686
Formula	0.0687051
bailout	0.0686961
endorsement	0.0685824
Congress	0.0685206
opposition	0.0684938
statehood	0.0683487
"trade agreement"	0.0683179
protection	0.0682973
"pay raise"	0.0682379
guarantee	0.0682164
election	0.0681228
Ada	0.0680513
priority	0.0678466
contract	0.0676636
definition	0.0674454
project	0.0674361
"Endangered Species Act"	0.0673004
question	0.0672412
"Basic Law"	0.0671924
bylaw	0.067112
deregulation	0.0670876
method	0.0668689
"North American Free Trade Agreement"	0.0666688
waiver	0.0662491
review	0.0661818
application	0.0661556
participation	0.0659833
quota	0.0657689
government	0.0657649
establishment	0.0656943
filibuster	0.0656685
consideration	0.0654408
right	0.065409
hike	0.0653038
stance	0.0650184
hearing	0.0649171
bid	0.0647676
tactic	0.0647636
convention	0.0646417
injunction	0.0645644
mechanism	0.0645302
spending	0.0644703
"minimum wage"	0.0644616
covenant	0.0644039
appropriation	0.0641461
"Clean Air Act"	0.0640279
"Article @@"	0.0638445
subsidy	0.0636968
abolition	0.0636809
"rate increase"	0.0636123
"economic policy"	0.0635233
Republican	0.0634605
))
(amends (desc 4734.51) (sims
apology	0.100891
contrition	0.0707492
remorse	0.0706363
redress	0.0701602
scapegoat	0.0658455
"expression of regret"	0.0592806
rapport	0.0565203
reparation	0.0544274
"contempt of court"	0.046064
forgiveness	0.0459802
penance	0.0448636
restitution	0.0448406
one-on-one	0.0445073
culpability	0.0435687
reckoning	0.0420721
repentance	0.041821
well-prepared	0.0403689
))
(amenity (desc 20682.1) (sims
"safety feature"	0.114545
convenience	0.109479
perk	0.105947
accommodation	0.101905
parking	0.0875112
lodging	0.0847856
facility	0.0843012
luxury	0.0841009
"recreational facility"	0.0836412
seating	0.0801237
furnishings	0.0791553
Entertainment	0.0751274
comfort	0.0742321
attraction	0.0736867
Housing	0.0716632
decor	0.0712136
"social service"	0.0707451
eateries	0.0693491
infrastructure	0.0688742
"storage space"	0.0680498
"health service"	0.0671314
goody	0.066579
incentive	0.0664699
suite	0.0652467
"medical care"	0.0650574
gadget	0.0650405
"quality of life"	0.0649723
option	0.0649668
accessory	0.0645688
fare	0.0644294
spas	0.0642127
"golf course"	0.0636625
"swimming pool"	0.0633217
furniture	0.0631699
"parking space"	0.0630492
hotel	0.0629571
merchandise	0.0629431
recreation	0.0624262
Lighting	0.0624053
"fringe benefit"	0.0622745
staterooms	0.0617229
ambience	0.061669
food	0.0616506
quality	0.0615824
discount	0.0615349
appliance	0.0611086
"telephone service"	0.0609875
opportunity	0.0609808
enticement	0.0603997
intangible	0.0603338
restaurant	0.0600773
"extracurricular activity"	0.0600433
resource	0.0598482
gadgetry	0.0597689
conditioning	0.0596041
equipment	0.0594279
"water sport"	0.0592153
SPA	0.0591313
item	0.0591142
gizmo	0.0588621
capability	0.0587941
"hotel room"	0.0587484
sanitation	0.0582405
landscaping	0.0580324
legroom	0.0578248
skill	0.0577818
upkeep	0.0577751
menu	0.0575171
transportation	0.0570501
"drinking water"	0.0568796
tool	0.0565387
air-conditioning	0.0564967
reliability	0.0561002
variable	0.0559492
ambiance	0.0558866
"office space"	0.0558346
adjective	0.0557746
nutrient	0.0557603
"transportation system"	0.0556941
flexibility	0.0553269
meal	0.0553026
configuration	0.0551545
bathroom	0.0549474
"tax break"	0.0549304
beauty	0.0547936
trapping	0.0547764
"living space"	0.0546228
dining	0.0545032
destination	0.0543025
plumbing	0.0542514
rental	0.053976
privilege	0.0538981
efficiency	0.0537959
enhancement	0.0537572
safeguard	0.0536097
ingredient	0.05339
pool	0.0533786
subsidy	0.053284
distraction	0.0532796
extras	0.0532344
alternative	0.0532039
horsepower	0.053201
functionality	0.0531632
"picture window"	0.0531211
location	0.0530542
outlet	0.0530088
improvement	0.0528309
souvenir	0.0527268
practicality	0.0523858
nightspots	0.0523311
hospitality	0.0521661
antique	0.052135
"club membership"	0.052029
toilet	0.0520175
expertise	0.0519371
elegance	0.0519261
necessity	0.0516351
"child care"	0.0516316
"living quarters"	0.0514976
trait	0.0513604
shopping	0.0513401
nicety	0.05124
function	0.0512203
pleasure	0.0511779
concession	0.0511409
signage	0.0508911
flavor	0.0508753
"art gallery"	0.0508747
gift	0.050775
catharsis	0.0507675
innovation	0.0507505
caveat	0.0506492
offering	0.0504978
"peace of mind"	0.0504348
"gift shop"	0.0503138
cachet	0.0502529
"household appliance"	0.0502165
tidbit	0.0501855
"tax incentive"	0.0500716
"entertainment center"	0.050015
"communications service"	0.0500141
bath	0.0500029
cleanliness	0.0499183
commodity	0.0496885
firepower	0.0496368
"security system"	0.0496059
financing	0.0495788
campgrounds	0.0494342
bed	0.0493366
installation	0.0493291
renovation	0.049301
glamour	0.0492957
"special effect"	0.0492726
"safety measure"	0.0492505
pitfall	0.0492094
toy	0.0491699
"customer service"	0.0491673
expense	0.0490902
atmosphere	0.0490817
venue	0.0490726
content	0.0490081
"stereo system"	0.0489422
"public service"	0.0488825
gimmick	0.0488742
excursion	0.0488176
goods	0.0488156
surroundings	0.0488156
"educational program"	0.0487687
texture	0.0487501
arcade	0.0487187
safety	0.0486985
excitement	0.0485646
"health care"	0.048559
pluses	0.0485245
"dining room"	0.0485133
"shopping center"	0.0484774
oomph	0.0484441
lifestyle	0.0483936
ventilation	0.0483326
characteristic	0.0483023
bed-and-breakfasts	0.0482836
"sound system"	0.0480973
graphics	0.0480054
hardware	0.0479963
apartment	0.0479821
electricity	0.0479628
"tennis court"	0.0479577
getaway	0.047954
affordability	0.0479078
versatility	0.0478996
insight	0.047847
"automatic transmission"	0.047757
Manpower	0.0476792
"support system"	0.0476561
extra	0.0476338
scenery	0.0475632
"water supply"	0.0474448
bargain	0.0474151
playground	0.0473978
headroom	0.047359
))
(America (desc 209529) (sims
"United States"	0.164149
nation	0.162501
country	0.158315
Europe	0.156866
world	0.146732
China	0.138447
Britain	0.132344
Africa	0.130274
Russia	0.129012
Japan	0.128058
Asia	0.1269
society	0.121659
Israel	0.119377
Mexico	0.118669
Canada	0.11755
France	0.115416
India	0.115373
Australia	0.114902
Germany	0.114236
community	0.114132
state	0.113843
region	0.11137
"North America"	0.110764
"South Africa"	0.109471
"Latin America"	0.108299
"New York"	0.108269
Iran	0.106487
city	0.105802
California	0.104659
Ireland	0.103536
Italy	0.101297
U.S.	0.101112
"Hong Kong"	0.100376
Cuba	0.0997778
Brazil	0.0993064
Hollywood	0.0990026
Washington	0.0962444
"Middle East"	0.0937784
Pakistan	0.0936173
life	0.0933393
continent	0.093308
industry	0.0932806
England	0.093147
Indonesia	0.092447
Vietnam	0.0924166
culture	0.0924119
Turkey	0.0923127
our	0.0919868
us	0.0915139
west	0.0908599
Egypt	0.090745
American	0.0906316
Poland	0.0903261
economy	0.0902778
Taiwan	0.0900341
people	0.089298
Texas	0.0888221
Iraq	0.0887131
Nigeria	0.08856
"New York City"	0.0882771
"South America"	0.0872154
"Western Europe"	0.0857922
"Soviet Union"	0.0857356
sport	0.085606
Thailand	0.0855884
Greece	0.0850964
area	0.0849602
family	0.0844234
Colombia	0.0838898
government	0.0833457
"Southeast Asia"	0.0831
politics	0.0830296
Singapore	0.0824951
Syria	0.0819598
Malaysia	0.0816629
baseball	0.0813182
Spain	0.0810432
"South Korea"	0.0807997
market	0.0801379
neighborhood	0.0794578
town	0.0793153
public	0.0791494
Jordan	0.0791147
company	0.0790949
"North Korea"	0.0783824
Moscow	0.0783697
Tibet	0.0782114
"New Zealand"	0.0782013
Argentina	0.077731
"Republican Party"	0.0767878
Venezuela	0.076598
Yugoslavia	0.0764784
Georgia	0.0764349
"East Asia"	0.0762525
business	0.076012
"Eastern Europe"	0.0760094
party	0.0758888
woman	0.0753897
Korea	0.0753159
south	0.075303
Kenya	0.0752963
future	0.0751834
"Saudi Arabia"	0.0751541
Massachusetts	0.0748502
Cambodia	0.0748249
Serbia	0.0745521
BEIJING	0.0744567
Florida	0.0741966
her	0.074168
church	0.0739106
Bangladesh	0.0738701
"Los Angeles"	0.0737672
Zimbabwe	0.0735118
"New England"	0.0734339
Ethiopia	0.0733548
democracy	0.0731798
Switzerland	0.0729263
history	0.0727939
"San Francisco"	0.0726947
Boston	0.0726591
"Silicon Valley"	0.0725796
"European country"	0.0723012
Romania	0.0722842
group	0.0722699
Afghanistan	0.0722242
Chile	0.0717854
"Asian country"	0.0717168
organization	0.0716104
Arizona	0.0714639
generation	0.0713569
Atlanta	0.0712809
school	0.0711576
Austria	0.0711159
child	0.0710996
Macao	0.0709834
military	0.0708234
Lebanon	0.0707467
NATO	0.0706601
Kosovo	0.0705547
Peru	0.0703185
administration	0.0700973
Congress	0.0698599
"New Jersey"	0.0698192
province	0.0698159
"African country"	0.0697351
Haiti	0.069735
"Sri Lanka"	0.0696093
century	0.0693906
"New Hampshire"	0.0693804
their	0.0689132
past	0.0687733
LONDON	0.0686439
consumer	0.0686121
Ukraine	0.068514
team	0.0685108
it	0.068474
L.A	0.0684093
league	0.0683944
"Southern California"	0.0683693
audience	0.0683614
"Northern Ireland"	0.0682621
Paris	0.0681288
Sweden	0.0677893
Zambia	0.0677832
Hungary	0.0677374
Albania	0.0675493
art	0.0675377
its	0.0675013
Shanghai	0.0674881
man	0.0674116
Sudan	0.0673761
homeland	0.0671108
NBA	0.0667449
place	0.0666148
island	0.0665748
Bulgaria	0.0663566
"Bay Area"	0.0663248
Belgium	0.0662449
Caribbean	0.0661854
Clinton	0.066114
EU	0.066061
Uganda	0.0660109
television	0.0658409
Algeria	0.0658102
Kuwait	0.0658098
system	0.0658067
"South Carolina"	0.0657356
movie	0.0657253
Republic	0.065568
Balkans	0.0654146
media	0.0653976
Libya	0.065357
Bosnia	0.0653163
UK	0.0652868
"Central America"	0.0652771
era	0.0652379
Chicago	0.0651472
"United Kingdom"	0.0648319
them	0.0647935
Philippines	0.0647799
))
("America Online" (desc 53795.7) (sims
AOL	0.278589
"America Online Inc."	0.224433
Yahoo	0.208436
IBM	0.186067
MindSpring	0.184422
"Time Warner"	0.182731
Lycos	0.182688
"Cisco Systems"	0.182236
Amazon.com	0.181858
Microsoft	0.181305
"MCI WorldCom"	0.178544
excite	0.177386
EarthLink	0.176476
"Sun Microsystems"	0.170991
Netscape	0.167125
Intel	0.163533
Compaq	0.160001
Hewlett-Packard	0.154424
"Bell Atlantic"	0.153638
WorldCom	0.152986
"Dell Computer"	0.151495
Cisco	0.148997
"Lucent Technologies"	0.148341
oracle	0.147424
BellSouth	0.146107
Motorola	0.142447
MCI	0.141461
"Walt Disney Co."	0.141307
"Deutsche Telekom"	0.140201
RealNetworks	0.13874
eBay	0.137837
Viacom	0.137499
Lucent	0.13698
Infoseek	0.13648
Exxon	0.136148
Qwest	0.13581
"General Electric"	0.135651
Dell	0.132358
"BP Amoco"	0.131094
"News Corp."	0.130786
"American Express"	0.130111
EMC	0.129527
"Microsoft Corp."	0.128073
Citigroup	0.12769
Qualcomm	0.126055
GTE	0.125652
Monsanto	0.125166
Vivendi	0.124835
GeoCities	0.12407
Disney	0.124052
CompuServe	0.123693
SBC	0.123353
CMGI	0.123034
MSN	0.122823
"Intel Corp."	0.122323
Nortel	0.122282
online	0.121456
ExciteAtHome	0.121178
"SBC Communications"	0.120566
Comcast	0.118778
"JDS Uniphase"	0.118768
"Compaq Computer"	0.118167
"Apple Computer"	0.117797
Sony	0.11706
"Procter &AMP; Gamble"	0.117002
Intuit	0.116696
Mediaone	0.116306
Pfizer	0.116053
ATHOME	0.115341
Priceline.com	0.115325
AltaVista	0.113499
"General Motors"	0.113426
Vodafone	0.11342
"Tele-Communications Inc."	0.112856
"Dell Computer Corp."	0.112391
MP@.com	0.112372
Coca-Cola	0.112137
"American Home Products"	0.111524
"Global Crossing"	0.111456
CNET	0.110937
Healtheon	0.110892
Novell	0.109958
company	0.109589
Cablevision	0.109004
Aetna	0.108845
Seagram	0.108596
TCI	0.108334
"USA Networks"	0.107865
"Microsoft Network"	0.107333
"Silicon Graphics"	0.106888
Amazon	0.106694
Nextel	0.105813
"U S West"	0.105509
"Compaq Computer Corp."	0.10509
ETrade	0.105045
t	0.104914
"Philip Morris"	0.104684
Mattel	0.104439
"Time Warner Inc."	0.104326
DaimlerChrysler	0.104276
"Telecom Italia"	0.104164
Dupont	0.103817
"Netscape Communications Corp."	0.103544
"Network Solutions"	0.103406
Checkfree	0.102795
Kodak	0.102654
Boeing	0.102648
Ericsson	0.102407
Hotmail	0.101968
DoubleClick	0.10183
Mannesmann	0.101789
"Cox Communications"	0.10155
"Johnson &AMP; Johnson"	0.101295
"Viacom Inc."	0.101077
Bertelsmann	0.100749
"Netscape Communications"	0.100668
provider	0.0999261
Warner-Lambert	0.0998489
"Deutsche Bank"	0.0996962
Broadcast.com	0.0992426
"Ford Motor Co."	0.0989448
Daimler-Benz	0.0986276
DirecTV	0.0980411
Wal-Mart	0.0980255
"Sprint Corp."	0.0977056
sprint	0.0976939
Alcoa	0.0976874
TYCO	0.0968754
Pepsico	0.0967962
"Tribune Co."	0.0964863
Telefonica	0.0963516
"Real Networks"	0.0958712
Xerox	0.0956553
BankAmerica	0.0949995
McKesson	0.094543
Merck	0.0943736
Mobil	0.0943537
Nokia	0.0942268
CDnow	0.0936989
"Barnes &AMP; Noble"	0.0936967
"Bank of America"	0.0934174
"Sony Corp."	0.093283
"Lockheed Martin"	0.0932778
Schwab	0.0931248
"Computer Associates"	0.0927761
"Boeing Co."	0.0927436
"Oracle Corp."	0.0926152
Chevron	0.0924894
Ge	0.0923791
"British Telecom"	0.0923008
Honeywell	0.0921745
Healtheon/WebMD	0.0918579
eToys	0.0918524
"IBM Corp."	0.0916328
NationsBank	0.0915382
"Applied Materials"	0.0908608
"Walt Disney"	0.0908168
Ameritech	0.0904787
"Hewlett-Packard Co."	0.0903306
"phone company"	0.0899764
"Cisco Systems Inc."	0.0899098
"Hewlett Packard"	0.0898848
"Sun Microsystems Inc."	0.089397
BankBoston	0.0888184
Halliburton	0.0887766
"France Telecom"	0.0885129
"Bell Atlantic Corp."	0.0885025
"WorldCom Inc."	0.0881551
"General Electric Co."	0.08802
Citicorp	0.0879773
"Nortel Networks"	0.0879648
HSBC	0.0877927
Citibank	0.0877688
Portal	0.0875142
ISP	0.087148
Inktomi	0.0868344
Daimler	0.0868194
"Texas Instruments"	0.0866008
"China Telecom"	0.0865585
Barnesandnoble.com	0.0863857
WebMD	0.0862605
Unilever	0.0862518
E-Trade	0.0862394
"Lycos Inc."	0.0861801
"International Paper"	0.086169
"Home Depot"	0.0859546
NIKE	0.0858979
Raytheon	0.085812
"New York Times Co."	0.0850585
UAL	0.0850488
"Charles Schwab"	0.0849164
"US Airways"	0.0843792
Ford	0.0843658
firm	0.0841639
Siemens	0.0841456
HP	0.0840849
ICQ	0.0840534
EMI	0.0839061
"Coca-Cola Co."	0.0838285
Renault	0.083678
))
("America Online Inc." (desc 9370.68) (sims
"America Online"	0.224433
"Cisco Systems Inc."	0.189985
"SBC Communications"	0.163577
"Walt Disney Co."	0.162365
AOL	0.162102
"Dell Computer Corp."	0.161565
"Motorola Inc."	0.159485
"Sun Microsystems Inc."	0.158795
"MCI WorldCom"	0.157811
"Tele-Communications Inc."	0.156594
"MCI Worldcom Inc."	0.156537
"Microsoft Corp."	0.151843
"Bell Atlantic"	0.151253
"Hewlett-Packard Co."	0.149463
"Oracle Corp."	0.149239
"Netscape Communications Corp."	0.149125
"Compaq Computer Corp."	0.147136
"WorldCom Inc."	0.144478
"Yahoo Inc."	0.142217
"Sprint Corp."	0.141417
"Deutsche Telekom"	0.138908
"BP Amoco"	0.138649
"Lucent Technologies Inc."	0.138164
"Cisco Systems"	0.137743
Vivendi	0.136833
"Time Warner"	0.136507
WorldCom	0.136413
"Apple Computer Inc."	0.13635
"Lycos Inc."	0.136311
MindSpring	0.135968
"Bell Atlantic Corp."	0.135191
"Intel Corp."	0.134803
RealNetworks	0.132929
Viacom	0.132134
"Tribune Co."	0.130404
Exxon	0.130179
"SBC Communications Inc."	0.127466
"Viacom Inc."	0.126926
"Exxon Corp."	0.126758
ExciteAtHome	0.125998
EarthLink	0.125092
MCI	0.119233
"IBM Corp."	0.119026
"Sun Microsystems"	0.118743
"News Corp."	0.118635
"Global Crossing Ltd."	0.118334
Daimler-Benz	0.118216
Yahoo	0.115776
"Global Crossing"	0.114747
Compaq	0.1141
DirecTV	0.113013
Bertelsmann	0.112777
"International Business Machines Corp."	0.111803
Healtheon	0.111038
GTE	0.110923
NationsBank	0.110822
IBM	0.11037
"General Electric Co."	0.110358
Qwest	0.110251
Vodafone	0.110246
"Lucent Technologies"	0.109774
"Ford Motor Co."	0.109758
McKesson	0.109577
"Hongkong Telecom"	0.109043
Lycos	0.108541
"Sony Corp."	0.108074
SBC	0.107624
"U S West"	0.106924
Inc.	0.106303
Monsanto	0.105804
"Deutsche Bank"	0.105756
"Computer Associates"	0.105406
Comcast	0.105388
"British Petroleum"	0.104043
"EMC Corp."	0.104012
Lucent	0.103296
"Halliburton Co."	0.102732
Cisco	0.101054
"Time Warner Inc."	0.100853
"Comcast Corp."	0.100248
Telefonica	0.100078
Citigroup	0.0999333
"CBS Corp."	0.0997144
"China Telecom"	0.0993844
"Telecom Italia"	0.0989027
Unilever	0.098654
"T Corp."	0.0985068
oracle	0.0981152
"Lotus Development Corp."	0.0979416
"Glaxo Wellcome"	0.0978434
"Vodafone AirTouch"	0.0976079
"Apple Computer"	0.0973487
Priceline.com	0.0961675
Amazon.com	0.095992
"Travelers Group"	0.0959733
"USA Networks"	0.0958168
"Charles Schwab &AMP; Co."	0.0958161
"Vodafone Airtouch PLC"	0.0952149
CNET	0.0949273
BSKyB	0.0946746
"GTE Corp."	0.094068
Aetna	0.0940425
"France Telecom"	0.0931526
"General Motors Corp."	0.0929962
Mediaone	0.0927933
NetZero	0.0919549
WebMD	0.0917351
TYCO	0.0910255
TCI	0.0909647
PSINet	0.0906444
Citicorp	0.0902218
Litton	0.0898263
Nortel	0.0896575
"British Telecommunications"	0.0894889
Ameritech	0.0890342
"Softbank Corp."	0.0889995
"Enron Corp."	0.0886202
"Bertelsmann AG"	0.0885568
Mobil	0.0884618
BellSouth	0.088189
"Times Co."	0.0881658
EMC	0.0880036
"MCI Communications Corp."	0.0873977
Novell	0.087278
"Ameritech Corp."	0.0869888
"CMGI Inc."	0.0869802
Microsoft	0.0866226
Motorola	0.0865445
UBS	0.0864415
Hasbro	0.0862553
"Monsanto Co."	0.086163
"Lockheed Martin"	0.086062
"Turner Broadcasting"	0.0852412
"Deutsche Bank AG"	0.0850986
Halliburton	0.085044
"Pfizer Inc."	0.084682
"Fannie Mae"	0.0841908
CMGI	0.0840193
Mattel	0.0838422
Netscape	0.0838101
"American Home Products"	0.0838025
"British Aerospace"	0.0837494
"Coca-Cola Co."	0.0836817
Mannesmann	0.0836371
"MindSpring Enterprises"	0.0834877
"General Electric"	0.0832971
GeoCities	0.0830831
"Johnson &AMP; Johnson"	0.0828918
Pfizer	0.0825392
Sony	0.0824544
"JDS Uniphase"	0.082008
"General Motors"	0.0818852
Hewlett-Packard	0.081879
BankAmerica	0.0817959
"Citigroup Inc."	0.0814044
"Procter &AMP; Gamble"	0.0812069
"Coca-Cola Enterprises"	0.0809653
Cablevision	0.0809047
"Sprint PCS"	0.0806587
Checkfree	0.0805918
"Fleet Financial Group"	0.0804927
"Netscape Communications"	0.0803529
"Dell Computer"	0.0801817
Warner-Lambert	0.0798674
"Phelps Dodge"	0.0798387
Olivetti	0.0796936
"MediaOne Group"	0.0792634
"Ask Jeeves"	0.0791786
"Boeing Co."	0.0789848
EMI	0.0788224
ATHOME	0.0787386
Hotmail	0.0781636
"Daimlerchrysler AG"	0.0778582
"New York Times Co."	0.0777859
"Lockheed Martin Corp."	0.0777402
Renault	0.0776687
"Daimler-Benz AG"	0.0776206
Pepsico	0.0774778
Infoseek	0.0773283
Texaco	0.0772902
LVMH	0.0768565
"Credit Suisse"	0.0767072
theglobe.com	0.076698
"Hearst Corp."	0.0766455
Medtronic	0.0765954
DaimlerChrysler	0.0765905
DoubleClick	0.0765899
SkyTel	0.0764445
"Silicon Graphics"	0.0763478
eBay	0.0762143
Intel	0.0761677
"Amazon.com Inc."	0.076058
Ericsson	0.0760525
"Chevron Corp."	0.0759662
Corp.	0.0758952
Xerox	0.0758786
Juno	0.0758471
Nextel	0.0758369
"Berkshire Hathaway"	0.0756172
"R.J Reynolds"	0.0754327
))
("America True" (desc 4123.67) (sims
"Le Defi Francais"	0.387143
AmericaOne	0.369198
Nippon	0.298245
"Stars and Stripes"	0.283158
"Young America"	0.263429
Prada	0.1679
"Luna Rossa"	0.117751
"Team New Zealand"	0.117722
"Prada Challenge"	0.106416
Cayard	0.0956614
"Tatiana Panova"	0.0926226
"Neville Godwin"	0.0906839
"Andreas Vinciguerra"	0.0903411
"Alberto Costa"	0.0851069
"Albert Portas"	0.0842884
"Asa Carlsson"	0.0835091
"Stars &AMP; Stripes"	0.083356
"Arnaud Boetsch"	0.0829497
Longo	0.0828393
"Galo Blanco"	0.0826192
"Olga Barabanschikova"	0.0788534
"Yayuk Basuki"	0.0784863
"Partizan Belgrade"	0.0781183
"Christian Ruud"	0.0772014
"Xavier Malisse"	0.0767366
"Nathalie Dechy"	0.0754691
"Younes El Aynaoui"	0.0753248
"Andrew Ilie"	0.0752888
Raoux	0.073966
"Arnaud Clement"	0.0735146
"Renzo Furlan"	0.0734636
"Nicole Pratt"	0.0734278
"Carlos Costa"	0.072681
"Alexandra Fusai"	0.0722834
"Jerome Golmard"	0.0722654
"Vincent Spadea"	0.0722477
"Marcelo Filippini"	0.0720672
"Judith Wiesner"	0.0718968
"Velez Sarsfield"	0.0711604
"Naoko Sawamatsu"	0.0708787
"Andrei Pavel"	0.0707836
Nacional	0.0703166
"Rainer Schuttler"	0.0702869
"Cara Black"	0.0702785
"Hernan Gumy"	0.0698205
"Sarah Pitkowski"	0.0697644
"Adrian Voinea"	0.0690433
"Catalina Cristea"	0.0687092
"Els Callens"	0.0686091
"Joannette Kruger"	0.0683812
syndicate	0.0681493
"Sabine Appelmans"	0.0670448
"Rita Grande"	0.0667399
"Arnaud Di Pasquale"	0.06648
"Barbara Paulus"	0.0663766
"Barbara Rittner"	0.0660673
"Guillaume Raoux"	0.0659566
"Wang Chen"	0.065858
"Davide Sanguinetti"	0.0651841
"Franco Squillari"	0.0651024
"Magdalena Maleeva"	0.0649831
"Marcos Ondruska"	0.0649082
"Leander Paes"	0.0648781
"Silvia Farina"	0.064749
"Javier Sanchez"	0.064246
"Anne Kremer"	0.0639175
"Mariano Puerta"	0.0635821
"Paola Suarez"	0.0633267
"Vojislav Kostunica"	0.0632218
"Phoenix Mercury"	0.0630198
"Beijing Ducks"	0.062923
"Los Angeles Galaxy"	0.0627675
"Miriam Oremans"	0.0626229
"Kim Clijsters"	0.0626091
"Juan Antonio Marin"	0.0625966
"Jinan Taishan"	0.0622533
"Tara Snyder"	0.0621117
"Alberto Berasategui"	0.0620378
"Shanghai Shenhua"	0.0620041
"Michael Tebbutt"	0.0619517
"Sichuan Quanxing"	0.0619015
"Francisco Clavet"	0.0618637
"Kenneth Carlsen"	0.0618478
Makinen	0.06177
"Magui Serna"	0.0615904
Halard-Decugis	0.0615759
Schalken	0.0615706
"Cedric Pioline"	0.0614779
"Sjeng Schalken"	0.0613844
"Karim Alami"	0.061296
Polgar	0.0609263
"Gennady Zyuganov"	0.0607189
"Guangdong Tigers"	0.0605685
"Sebastien Lareau"	0.0605245
"Richard Fromberg"	0.0604316
"Filip Dewulf"	0.0602459
"Mariano Zabaleta"	0.0597335
Gremio	0.0595224
Bruguera	0.0594864
"Guangzhou Apollo"	0.0594198
Haarhuis	0.0594152
"Li Fang"	0.0594048
"Guangdong Hongyuan"	0.0591561
"Felix Mantilla"	0.0591244
"Gianluca Pozzi"	0.0589578
"Barbara Schett"	0.0585761
"Fabrice Santoro"	0.0581898
Larsson	0.0580851
"Daniel Nestor"	0.0580497
"Spartak Moscow"	0.0578229
"Hicham Arazi"	0.0577301
Spartak	0.0576257
"Sebastien Grosjean"	0.0576026
"Phenix City"	0.0575427
"Francesco de Angelis"	0.0573009
"Brett Steven"	0.057297
"Mirjana Lucic"	0.0570241
"Barbara Schwartz"	0.0567431
"Exxon Valdez"	0.0564958
Kuerten	0.0564751
"Sandrine Testud"	0.0564743
Ulihrach	0.0564541
"Adriana Gersi"	0.0558869
"Amy Frazier"	0.0558764
"Justin Gimelstob"	0.0558328
yacht	0.0557074
"Grant Stafford"	0.0557008
"Juan Carlos Ferrero"	0.0556108
"Ai Sugiyama"	0.0555347
"Sargis Sargsian"	0.0553185
"Kveta Hrdlickova"	0.0551451
Hawkeyes	0.0551386
"Nicklas Kulti"	0.0549783
"Roger Federer"	0.0549571
"Nicolas Escude"	0.0548785
"Bradford City"	0.0547837
Sanchez-Vicario	0.0547144
"David Prinosil"	0.0545908
"Brenda Schultz-McCarthy"	0.0545859
"Coventry City"	0.0545025
Sainz	0.0544927
"Natasha Zvereva"	0.0544921
"Jeff Tarango"	0.0544871
"Kristie Boogert"	0.0543919
"Andrea Gaudenzi"	0.0543871
"Alejandro Toledo"	0.0543191
"Qingdao Hainiu"	0.0542493
"Sergi Bruguera"	0.0541816
"Linda Smith"	0.0541473
"Jonathan Stark"	0.0541435
"Gong Ruina"	0.0541414
"Leeds United"	0.053852
"Li Ju"	0.0538424
"Wayne Black"	0.0538008
"Leicester City"	0.0537459
"Fernando Meligeni"	0.0537405
"Florencia Labat"	0.0536926
Enqvist	0.0536416
"Mahesh Bhupathi"	0.0535828
"Marc Rosset"	0.0533397
Edberg	0.0532697
Habsudova	0.0532463
"LA Lakers"	0.053158
"Max Mirnyi"	0.0531309
"Janet Lee"	0.0530745
"Magnus Gustafsson"	0.0528608
"Shandong Flaming Bulls"	0.0526649
"Slava Dosedel"	0.0525439
Testud	0.0521771
"Bohdan Ulihrach"	0.0521336
Berasategui	0.05201
"Jocelyn Thibault"	0.0519074
sloop	0.0518742
"Corina Morariu"	0.0518237
"Elena Likhovtseva"	0.0517799
Obilic	0.0517766
"Scott Draper"	0.0515872
Meligeni	0.0514444
Kucera	0.051294
"Sandon Stolle"	0.0512859
"Lisa Raymond"	0.0512438
"Tamarine Tanasugarn"	0.0512202
"Colo Colo"	0.0511682
"VfB Stuttgart"	0.0509573
Palmeiras	0.0509324
Ullrich	0.0506853
"New York Liberty"	0.0506084
"Byron Black"	0.0505311
"Nathalie Tauziat"	0.0505195
"Alex O'Brien"	0.0504936
"Stefan Edberg"	0.050492
"Dominique Van Roost"	0.0504259
Susanti	0.0504017
"Elena Dementieva"	0.0503965
"Mikael Tillstrom"	0.0503
"Richey Reneberg"	0.0502618
"Martina Ertl"	0.0502046
"Michael Stich"	0.0501855
"Thomas Johansson"	0.0501849
Kasparov	0.050152
))
("America West" (desc 10122) (sims
"US Airways"	0.281521
"Northwest Airlines"	0.230381
TWA	0.216476
"United Airlines"	0.212296
AIRTRAN	0.194248
"Delta Air Lines"	0.193498
"American Airlines"	0.193223
"Continental Airlines"	0.186069
"America West Airlines"	0.18593
"Trans World Airlines"	0.178958
"Alaska Airlines"	0.178366
"Air Canada"	0.174612
"Southwest Airlines"	0.174446
delta	0.173541
KLM	0.166014
"Air France"	0.162943
Aeromexico	0.148345
continental	0.145003
airline	0.143777
Swissair	0.143139
"El Al"	0.134244
Asa	0.13245
Cathay	0.131194
UAL	0.12869
"U.S. Trust"	0.127295
"British Airways"	0.125411
"Delta Airlines"	0.123802
EgyptAir	0.123678
"Korean Air"	0.123495
Aeroflot	0.123162
Qwest	0.122808
Aetna	0.122733
"Philippine Airlines"	0.122245
Mannesmann	0.121067
Airtouch	0.120012
Lufthansa	0.119959
"U S West"	0.119704
"Bankers Trust"	0.119349
"Reno Air"	0.1185
"Learning Co."	0.116775
"Air China"	0.11558
"Cathay Pacific"	0.115213
Fedex	0.113527
RJR	0.113512
MCI	0.113291
Warner-Lambert	0.112053
VoiceStream	0.111685
ARCO	0.111338
VENATOR	0.110962
AMR	0.110608
USAir	0.109794
ALZA	0.109322
Humana	0.107858
PLDT	0.107408
NiSource	0.107252
McKesson	0.106981
"Kenya Airways"	0.106779
Ciena	0.106427
Boeing	0.105956
Sunbeam	0.105898
Petrofina	0.105569
Nextel	0.105522
Verizon	0.105374
Lockheed	0.105185
"Niagara Mohawk"	0.105156
"Telecom Italia"	0.10509
Norwest	0.103356
Alitalia	0.102933
"Phelps Dodge"	0.102727
ValuJet	0.102432
Genentech	0.102234
"P&AMP;G"	0.101878
Asarco	0.101682
carrier	0.101437
Bestfoods	0.100959
ascend	0.100695
northwest	0.100448
"Gulf Air"	0.0999434
SmithKline	0.0995039
"Sprint Corp."	0.0989114
"Cathay Pacific Airways"	0.0984761
BankAmerica	0.0984427
Airlines	0.098148
"American Home"	0.0981432
Comsat	0.098138
Dragonair	0.0977672
"Time Warner"	0.097216
TCI	0.0971512
"Thai Airways"	0.0970492
Lycos	0.0970297
Mediaone	0.0965614
Avondale	0.0961531
GTE	0.0957212
JAL	0.0955868
XYLAN	0.0950277
Delphi	0.0949217
NatWest	0.0946916
Cendant	0.0934599
"Con Edison"	0.0934127
Qantas	0.0933986
"Pan Am"	0.0932693
"Bell Atlantic"	0.0931823
COLTEC	0.0926567
Mattel	0.0925269
"Federal Express"	0.0924087
"American eagle"	0.0923611
LTCB	0.0920365
BankBoston	0.091503
"Northeast Utilities"	0.0914931
Infoseek	0.09143
EarthLink	0.091214
"MCI WorldCom"	0.0910921
Seagram	0.091061
Penney	0.0907067
Biman	0.0905548
Nabisco	0.0904251
REVLON	0.0902632
Mobil	0.0902162
"HBO &AMP; Co."	0.0902007
"Rite Aid"	0.0900751
SBC	0.0896929
"Times Mirror"	0.0896875
Broadcast.com	0.0892192
"RJR Nabisco"	0.0892066
CMGI	0.089181
"Deutsche Telekom"	0.0891421
"Fred Meyer"	0.0890402
Monsanto	0.0889373
Sabena	0.0889024
Litton	0.0882828
"Global Crossing"	0.0880992
"Societe Generale"	0.0879343
Raytheon	0.0879003
GeoCities	0.0876403
"Thermo Electron"	0.087501
Cisco	0.0870706
Paribas	0.0870608
"GTE Corp."	0.0869522
Amoco	0.0867961
DaimlerChrysler	0.0867838
"Nippon Credit"	0.0867787
Garuda	0.0867155
Ba	0.0865632
PictureTel	0.0863354
Vodafone	0.0862487
NORTHROP	0.0861843
ExciteAtHome	0.0861303
"Georgia Power"	0.085997
"Royal Bank"	0.0857457
GANNETT	0.085721
Comair	0.0856811
GPU	0.0855856
"BP Amoco"	0.0852357
Ameritech	0.0846483
Airbus	0.0845165
"China Airlines"	0.0843964
Broderbund	0.0843361
"Chrysler Corp."	0.0842376
Netcom	0.0839982
ups	0.0839704
PolyGram	0.0839051
BofA	0.0838475
MindSpring	0.0837789
SAA	0.0836585
"Atlantic Richfield Co."	0.0835412
Omnipoint	0.0834701
"Con Ed"	0.0834668
FPL	0.0833187
Exxon	0.0831608
"KCP&AMP;L"	0.0830442
ENTERGY	0.0829987
Kia	0.0827211
"Virgin Atlantic"	0.0826886
Alltel	0.0826059
Checkfree	0.0823475
Volvo	0.0823368
Compaq	0.0821764
TYCO	0.081788
Astra	0.0816592
Texaco	0.0816134
MTA	0.0816093
JAT	0.0815177
Orangina	0.0815055
"United Parcel Service"	0.0812722
"USA Networks"	0.080998
Bridgestone	0.0808631
Iridium	0.0808096
Comcast	0.0805448
Chevron	0.0804935
AutoNation	0.0804598
"Boeing Co."	0.0804582
Kodak	0.0804565
"Waste Management"	0.0804559
GM	0.0804116
Motorola	0.0802578
"Union Carbide"	0.0799238
PAL	0.0798425
"Blue Cross"	0.0798326
"American Home Products"	0.0796019
Sibneft	0.0795978
))
("America West Airlines" (desc 1580.03) (sims
"America West"	0.18593
"Trans World Airlines"	0.158461
"United Airlines"	0.155921
"US Airways"	0.153562
"Northwest Airlines"	0.153001
Comair	0.14635
"Delta Air Lines"	0.139146
USAir	0.134292
"Continental Airlines"	0.125159
"American Airlines"	0.122036
Asa	0.116527
"Alaska Airlines"	0.115896
Swissair	0.112629
AIRTRAN	0.106895
"China Airlines"	0.106458
JAT	0.104615
"Air Canada"	0.103978
Aeromexico	0.102686
"South African Airways"	0.0979449
"British Airways"	0.0976057
"Atlantic Richfield"	0.0972524
"Atlantic Richfield Co."	0.095821
JAL	0.0948888
Ansett	0.0943741
Fedex	0.0942278
"Air France"	0.0938776
"Turkish Airlines"	0.0928351
TWA	0.0925881
"U.S. Trust"	0.0908267
"Phelps Dodge"	0.090529
"Reno Air"	0.0901754
"Ethiopian Airlines"	0.0883577
SAA	0.0880428
PolyGram	0.0857735
"Learning Co."	0.08566
"Southwest Airlines"	0.0855985
XYLAN	0.0854199
"Gulf Air"	0.0851562
"Wireless HKT"	0.0839086
"BankAmerica Corp."	0.0837462
"Sprint Corp."	0.0832374
continental	0.0828399
"Rolls-Royce Motor Cars"	0.0821631
Asarco	0.0816564
"RJR Nabisco"	0.0816085
delta	0.081157
"American eagle"	0.0809179
"Philippine Airlines"	0.0805024
"China Eastern Airlines"	0.0802393
Petrofina	0.0800934
"U S West Inc."	0.0799903
"Fred Meyer"	0.0799401
Orangina	0.0796793
"Y&AMP;R"	0.0794786
SAS	0.0794731
Alitalia	0.0794321
Qwest	0.0793415
"ticket agent"	0.0792726
"Thai Airways"	0.0792599
Tropicana	0.0791407
"Georgia Power"	0.0789888
"Japan Airlines"	0.0786193
"Northeast Utilities"	0.0785925
"Vietnam Airlines"	0.078543
ENTERGY	0.0783731
"Times Mirror Co."	0.0777129
"Qwest Communications"	0.0776717
Cathay	0.0775311
"Southwestern Bell"	0.0768035
chipmakers	0.076368
"Indian Airlines"	0.0760599
"HBO &AMP; Co."	0.0757344
"Pacific Lumber"	0.0756612
"Mobil Corp."	0.0752919
"Korean Air"	0.0747628
"Sprint PCS"	0.0746342
"Monsanto Co."	0.074391
"Universal Studios"	0.0742934
"Pac Bell"	0.0741896
"Frontier Corp."	0.0740182
"Airtouch Communications"	0.0733183
WebMD	0.0732458
"BellSouth Corp."	0.0728653
"El Al"	0.0726231
"Federal Express"	0.0718387
"GTE Corp."	0.0717598
"MCI Worldcom Inc."	0.071269
"Nippon Credit"	0.071215
"Air Lanka"	0.0711806
COLTEC	0.0710597
"Delta Airlines"	0.070519
Biman	0.0704028
"Bankers Trust"	0.0702337
Kia	0.070215
"Pacific Bell"	0.0701539
Lufthansa	0.0697813
"Air India"	0.0693163
EgyptAir	0.0687464
Domino's	0.068706
Airlines	0.0686345
Amoco	0.0684326
"Kenya Airways"	0.0683972
Pairgain	0.0683182
Iberia	0.0681071
Scania	0.0680604
"Blue Cross"	0.0679815
Broadcast.com	0.0677997
GPU	0.067753
"Virgin Atlantic"	0.0677217
Aeroflot	0.0675136
"Consolidated Edison"	0.0673486
"MediaOne Group"	0.0673151
Cerent	0.0672852
Comsat	0.0672665
"McDonnell Douglas"	0.0672323
BankAmerica	0.0671436
"retail chain"	0.0665899
KLM	0.0663088
"Netscape Communications"	0.0658726
"Cathay Pacific"	0.0657732
Bestfoods	0.0655129
"Union Carbide"	0.0653721
Ameritech	0.0652113
N@K	0.0651092
ValuJet	0.0649152
Qantas	0.0649087
"Cathay Pacific Airways"	0.0648154
Fairchild	0.0647577
HomeGrocer.com	0.064648
Omnipoint	0.0645318
Cessna	0.0644876
"Digital Equipment Corp."	0.0644629
"Baby Bell"	0.0643536
"Tele-Communications Inc."	0.0637663
"Saatchi &AMP; Saatchi"	0.0637626
"Bankers Trust Corp."	0.0635372
Garuda	0.0635217
"U S West"	0.0635183
ITT	0.0631105
"blue angel"	0.0629269
Ciena	0.0622895
"Telecom Italia"	0.0622241
"Orange PLC"	0.0621179
NatWest	0.0620832
"Air China"	0.0617942
Mannesmann	0.0617552
JetBlue	0.061192
Stratus	0.0609441
Warner-Lambert	0.0608783
"ELF AQUITAINE"	0.0608492
Ba	0.0606125
Pillsbury	0.0605586
"US West"	0.0603474
SDL	0.0600752
McKesson	0.0599586
"Robertson Stephens"	0.0598742
"Malaysia Airlines"	0.0594238
Caldor	0.0594216
"CBS Corp."	0.0593445
UTA	0.0592077
turboprop	0.0589785
Publicis	0.0589275
"Royal Bank"	0.058758
Litton	0.0586557
SNCF	0.0585883
"Saks Fifth Avenue"	0.0585244
"Chevron Corp."	0.0584597
"Ameritech Corp."	0.0581945
"software maker"	0.0579832
HBOC	0.0579777
"Liberty Media"	0.0579776
GTE	0.0579462
Cargill	0.0578846
Nabisco	0.0578485
Infoseek	0.0578166
Seagate	0.0576742
AMR	0.0576412
"Pratt &AMP; Whitney"	0.0576397
Broderbund	0.0574754
Avondale	0.0571108
"Bay Networks"	0.0570935
NationsBank	0.0569631
"Pepsico Inc."	0.0565732
GeoCities	0.0563859
"Times Co."	0.0563659
X-@@	0.0561587
Marketspan	0.0561457
"GE Capital"	0.0561075
"telephone company"	0.056072
"Hughes Electronics Corp."	0.0560551
MEA	0.0558534
AMEX	0.0553639
"Pan Am"	0.0552845
"China Southern Airlines"	0.0552741
"two @@-year-olds"	0.0552265
"Enron Corp."	0.0552087
"Wells Fargo"	0.0552051
"Time Warner Inc."	0.0551721
VoiceStream	0.0551427
Vivendi	0.054991
))
("America West Arena" (desc 6013.99) (sims
"Continental Arena"	0.221919
"Reunion Arena"	0.204544
"Nassau Coliseum"	0.198122
"Tropicana Field"	0.185872
"United Center"	0.177442
"Delta Center"	0.172145
"Compaq Center"	0.170279
"Jacobs Field"	0.167425
"Lambeau Field"	0.166359
"Foxboro Stadium"	0.16216
Alamodome	0.159976
"Shea Stadium"	0.158468
"Qualcomm Stadium"	0.157293
"Yankee Stadium"	0.15668
"Market Square Arena"	0.155932
"Conseco Fieldhouse"	0.153013
"Continental Airlines Arena"	0.152819
"Pauley Pavilion"	0.1516
FleetCenter	0.149485
"Turner Field"	0.145651
"Giants Stadium"	0.145474
"Civic Arena"	0.145125
"RCA Dome"	0.142788
"Joe Louis Arena"	0.142148
"Marine Midland Arena"	0.140495
"Dodger Stadium"	0.139963
"Arrowhead Stadium"	0.13993
KeyArena	0.138811
Metrodome	0.137791
"Madison Square Garden"	0.13729
"Soldier Field"	0.137047
"Miami Arena"	0.135824
"Mile High Stadium"	0.134403
"Comiskey Park"	0.132198
"Busch Stadium"	0.131415
"Texas Stadium"	0.129576
"Devil Stadium"	0.129316
"Veterans Stadium"	0.129209
Astrodome	0.128624
"MCI Center"	0.127295
"Cinergy Field"	0.126271
"Staples Center"	0.125139
"Candlestick Park"	0.123583
"Camden Yards"	0.122944
"Pro Player Stadium"	0.121864
"Edison Field"	0.121023
"Rivers Stadium"	0.120499
"Fenway Park"	0.119932
SkyDome	0.116594
"County Stadium"	0.114165
"Wrigley Field"	0.113726
"RFK Stadium"	0.112212
"Georgia Dome"	0.111322
"Great Western Forum"	0.11043
"Olympic Stadium"	0.109954
"Tokyo Dome"	0.108184
"Oakland Coliseum"	0.107695
"Ebbets Field"	0.105475
"Kiel Center"	0.10422
Coliseum	0.102365
"sports arena"	0.102231
"Maple Leaf Gardens"	0.101822
"Memorial Stadium"	0.100979
Meadowlands	0.100772
"Cotton Bowl"	0.0985955
Shea	0.098154
"Philips Arena"	0.0980107
"Stade de France"	0.0979245
"Roland Garros"	0.0975864
"Coors Field"	0.0933125
"Comerica Park"	0.0932132
"Sanford Stadium"	0.0925554
"Pac Bell Park"	0.0924081
Fenway	0.092256
"Safeco Field"	0.0913701
"Kyle Field"	0.0909088
Ballpark	0.0879269
"Rose Bowl"	0.0877822
Highbury	0.0876292
"First Union Center"	0.0875819
"Trans World Dome"	0.0872696
"UC Irvine"	0.0869182
Kingdome	0.0869136
"Jack Kent Cooke Stadium"	0.0853974
Dodgertown	0.08524
Superdome	0.0851455
"Enron Field"	0.084892
"Tiger Stadium"	0.0812347
"Old Trafford"	0.0797905
"Pacific Bell Park"	0.079513
Foxboro	0.0792418
"Valley Ranch"	0.0781158
"World Basketball Championship"	0.0768678
Wrigley	0.0768047
"National Stadium"	0.0756541
"Wembley Stadium"	0.0743852
"Fleet Center"	0.0700583
"Boston Garden"	0.0697733
Anfield	0.0691724
NHIS	0.0689268
"Santa Anita"	0.0686893
"Pinehurst No. @"	0.0662797
"Stade Velodrome"	0.065985
"Pepsi Center"	0.0656545
"Furman University"	0.0652404
"Olympic Park"	0.0648868
"rose garden"	0.0641982
"Phoenix Open"	0.0638041
COMDEX	0.0628917
"Polo Grounds"	0.0628704
"National Tennis Center"	0.0627204
Edmonton	0.0617769
"Wye Plantation"	0.0615774
Carnoustie	0.061515
Safeco	0.0607174
gym	0.0603552
"Fort Dix"	0.0601891
"Dorothy Chandler Pavilion"	0.0601702
Longwood	0.060144
"Texas Motor Speedway"	0.0601145
"Shrine Auditorium"	0.0594945
"Churchill Downs"	0.0587576
"Melbourne Cricket Ground"	0.0587568
"Hollywood Park"	0.0586686
"Royal Birkdale"	0.0585957
TM	0.0584724
"Atlanta Motor Speedway"	0.0583821
"U.S. Open"	0.0581399
"Fair Grounds"	0.0579823
"Andrews Air Force Base"	0.0578817
"Melbourne Park"	0.0578429
Tanglewood	0.0577118
"Pebble Beach"	0.0572244
Pimlico	0.0560374
"Brooklyn Academy of Music"	0.0555499
"Orange Bowl"	0.0552188
Belfry	0.0546267
"French Open"	0.0543755
"civic center"	0.0541494
"Seton Hall"	0.0541195
Indianapolis	0.0538379
Pinehurst	0.0534816
Valhalla	0.0534249
"high noon"	0.0533319
"Las Vegas Motor Speedway"	0.0533096
"Northern Arizona"	0.0531958
Wembley	0.0530876
"German Open"	0.0530697
"Lambeth Conference"	0.0530474
LSU	0.0528388
"Windsor Castle"	0.0527692
"Sacramento State"	0.0526206
YMCA	0.0522831
"Belmont Park"	0.0522092
Medinah	0.0521455
"Goodwill Games"	0.0516453
Vail	0.0514505
Indy	0.051218
Eastbourne	0.0509248
"Olympic Club"	0.0508349
"Oklahoma State"	0.0507392
"Radio City Music Hall"	0.0506821
"Lincoln Center Festival"	0.0505377
"Augusta National"	0.0502975
Brickyard	0.0502679
"Camp David"	0.0501922
"Lipton Championships"	0.0501424
"Plaza Hotel"	0.0500963
"Gulfstream Park"	0.0498295
"Michigan Speedway"	0.0494705
Ritz-Carlton	0.0494592
"New York City Opera"	0.0493928
"MGM Grand"	0.0492137
"air force academy"	0.0489509
Sacramento	0.0488261
"New Hampshire International Speedway"	0.0488158
Wimbledon	0.0487978
"Australian Open"	0.0487906
"Metropolitan Opera House"	0.0487126
Calgary	0.0486531
"Buckingham Palace"	0.0485884
"Villa Park"	0.048584
"Metropolitan Opera"	0.048415
"Oregon State"	0.0484078
"Senior Bowl"	0.0482889
"Kauffman Stadium"	0.0482419
Staples	0.0481543
Stormont	0.048051
Pir	0.0480271
Foxborough	0.0479606
"College World Series"	0.0478844
"Indian Wells"	0.0478778
Vanderbilt	0.0478059
ou	0.0474499
"California Speedway"	0.0470593
"Carnegie Hall"	0.0468503
"University of Houston"	0.0467584
"Memorial Tournament"	0.0467332
"Stamford Bridge"	0.0466123
"Fiesta Bowl"	0.0465739
))
(American (desc 271667) (sims
people	0.209505
citizen	0.179062
woman	0.17349
resident	0.165485
Russian	0.164712
consumer	0.161512
voter	0.159393
worker	0.156219
foreigner	0.152883
child	0.15078
Chinese	0.150037
student	0.149764
those	0.14759
German	0.144137
investor	0.143811
European	0.143203
Canadian	0.14233
adult	0.142303
man	0.142127
parent	0.139998
individual	0.139729
Japanese	0.138249
Mexican	0.137448
patient	0.136864
Israeli	0.132392
farmer	0.13015
family	0.130026
Filipino	0.129392
tourist	0.128827
customer	0.128747
Australian	0.127833
employee	0.127176
black	0.125459
person	0.124637
Republican	0.124457
member	0.12408
everyone	0.123148
Iranian	0.122025
public	0.12199
Jew	0.121683
others	0.121551
immigrant	0.121028
viewer	0.119965
Italian	0.119043
"South African"	0.118467
Kenyan	0.118442
athlete	0.117869
household	0.117257
kid	0.117255
us	0.117025
French	0.116883
anyone	0.116851
Briton	0.11659
U.S.	0.115827
player	0.115616
fan	0.115217
Palestinian	0.1151
"New Yorker"	0.114835
company	0.114804
Reader	0.114754
soldier	0.114312
Democrat	0.113165
British	0.112703
user	0.112265
community	0.112081
Iraqi	0.112041
visitor	0.111869
nation	0.111609
Nigerian	0.110752
many	0.110638
politician	0.110603
Cuban	0.110465
traveler	0.110228
them	0.109921
Indian	0.109781
Hispanic	0.10948
Texan	0.108623
African	0.108498
country	0.10829
"United States"	0.107819
passenger	0.107668
African-American	0.107609
doctor	0.10756
youngster	0.107559
Indonesian	0.107384
Malaysian	0.107375
population	0.107034
group	0.106891
journalist	0.106812
government	0.106624
Brazilian	0.106529
official	0.106498
national	0.106445
taxpayer	0.105291
minority	0.105274
civilian	0.104409
scientist	0.10361
girl	0.102997
refugee	0.102975
youth	0.102649
lawmaker	0.102398
airline	0.102144
Albanian	0.101889
Lebanese	0.101572
Thai	0.101158
Californian	0.100808
leader	0.100595
Serbs	0.10038
Jordanian	0.100375
team	0.100283
folk	0.100256
Arab	0.100248
Egyptian	0.0999079
audience	0.0999002
businessmen	0.0995956
teacher	0.0995021
senior	0.0992411
pilot	0.099046
white	0.098734
teen-ager	0.0986113
diplomat	0.0984356
male	0.098214
Asian	0.0981293
driver	0.0978668
victim	0.0975625
Cambodian	0.0974394
some	0.0972659
professional	0.0971159
officer	0.097063
someone	0.0964116
employer	0.0963086
homeowner	0.0963074
boy	0.0959269
Vietnamese	0.0958265
christian	0.0955328
retiree	0.0952488
Catholic	0.094923
Spaniard	0.0949021
respondent	0.0942358
"college student"	0.0942273
buyer	0.0938741
mother	0.0938562
owner	0.0938232
you	0.0936481
Muslim	0.0936305
all	0.0929597
artist	0.0929064
everybody	0.0928127
"senior citizen"	0.0927455
industry	0.0926101
listener	0.0919968
client	0.0918962
business	0.091761
participant	0.0913224
troop	0.0912533
him	0.0911295
veteran	0.0907672
inmate	0.0907629
America	0.0906316
teens	0.0899059
Colombian	0.0898813
villager	0.0897821
"South Koreans"	0.0896239
Pakistani	0.0895657
couple	0.0894546
state	0.0894501
relative	0.0887561
recipient	0.0886511
anybody	0.0883918
corporation	0.0883452
teenager	0.0878852
police	0.0877623
society	0.0877025
Austrian	0.0871922
firm	0.0870997
million	0.0869032
candidate	0.086794
Latino	0.0867255
military	0.0866198
guy	0.0863743
local	0.0863628
smoker	0.0861951
westerner	0.0860146
me	0.0858532
party	0.0858237
Taiwanese	0.0856756
prisoner	0.0853965
force	0.0851819
Bush	0.0851509
world	0.0850618
President	0.0848071
Clinton	0.0847162
Ugandan	0.0846443
gore	0.084624
neighbor	0.0845937
Koreans	0.0845672
authority	0.0845182
Turk	0.0844853
generation	0.0843384
shopper	0.0842181
))
("American Academy of Pediatrics" (desc 2473.44) (sims
"American Heart Association"	0.220944
"Institute of Medicine"	0.192396
"National Research Council"	0.184784
"American Bar Association"	0.170153
"American Psychological Association"	0.165994
"American Cancer Society"	0.148092
"National Academy of Sciences"	0.144458
"American Medical Association"	0.126272
"Congressional Research Service"	0.123103
"Consumer Product Safety Commission"	0.117452
"World Health Organization"	0.112783
"American Psychiatric Association"	0.112054
"Families USA"	0.110546
"surgeon general"	0.109585
"Kaiser Family Foundation"	0.105925
"American Association"	0.105445
"Economic Planning Agency"	0.103172
"State Statistical Bureau"	0.100662
"National Cancer Institute"	0.0991565
"National Gambling Impact Study Commission"	0.0979445
"College Board"	0.0976171
"National Highway Traffic Safety Administration"	0.0973759
"National Transportation Safety Board"	0.0922068
"Commission on Human Rights"	0.091039
"General Accounting Office"	0.090462
"Urban Institute"	0.0893769
"National Institutes of Health"	0.0892653
CDC	0.0889594
DEP	0.0888028
"Central Bank of Kenya"	0.0880813
"Agriculture Department"	0.0880086
"Bank for International Settlements"	0.0856309
"Food and Drug Administration"	0.0847177
"Environmental Protection Agency"	0.0845581
"American Civil Liberties Union"	0.0842618
"Business Council"	0.0841991
"Securities Industry Association"	0.0815104
"Department of Health"	0.0813795
"International Society"	0.0811289
"ethics panel"	0.0810977
"European Commission"	0.0799974
"Olympic Council of Asia"	0.0782377
"National Conference"	0.0779015
"Democratic Leadership Council"	0.0778833
"Ministry of Forestry"	0.0778115
NTSB	0.0771914
"State Environmental Protection Administration"	0.0768287
"Federal Trade Commission"	0.0764133
"International Labor Organization"	0.0759637
"Ministry of Trade and Industry"	0.0754315
"National Education Association"	0.075317
"Pew Research Center"	0.0749911
"United Nations Children's Fund"	0.0740633
"Ministry of Interior"	0.073318
PBC	0.0730903
"National Association"	0.0730667
"National Society"	0.0728826
"Information Office"	0.0727293
UNICEF	0.0726972
"Defense Fund"	0.0725845
"interim committee"	0.0721414
"Alcoholics Anonymous"	0.0721288
"Council of Economic Advisers"	0.0721019
"Department of Health and Human Services"	0.0720971
"National Federation"	0.0718328
"United Nations Environment Program"	0.0712367
"Harvard School of Public Health"	0.0708972
SDPC	0.0708738
"American Association of Retired Persons"	0.0705151
"American Petroleum Institute"	0.0703807
"National Trust"	0.0701182
"Financial Supervisory Agency"	0.0699156
"U.S. State Department"	0.0696063
"Central Bureau of Statistics"	0.0695734
"Common Cause"	0.0690806
"Inter-Parliamentary Union"	0.0689898
"Anti-Defamation League"	0.0685027
"Economic and Social Council"	0.0682609
"Commerce Ministry"	0.0680232
"Human Rights Watch"	0.0677439
"inspector general"	0.0675013
"Department of State"	0.0669547
"Gartner Group"	0.0669159
"Ministry of Civil Affairs"	0.066673
"Turkish Foreign Ministry"	0.0666395
"China Society"	0.0659866
Hybl	0.0658407
"Philippine Senate"	0.065785
OCA	0.0655341
"Ministry of International Trade and Industry"	0.0655216
FDA	0.0651565
"International Federation"	0.0649656
"Occupational Safety and Health Administration"	0.0644307
FTC	0.0643827
Eurostat	0.064338
"People's Bank of China"	0.0641155
Gao	0.0641125
IGC	0.0640217
Mullinax	0.0639416
"World Economic Forum"	0.0639237
"Supreme Council"	0.0634859
"EU Commission"	0.0633764
"Census and Statistics Department"	0.0632885
"Hong Kong Monetary Authority"	0.063109
"Xinhua News Agency"	0.0630943
"Forrester Research"	0.0630833
CAF	0.0629843
"Commonwealth Ministerial Action Group"	0.0627645
"Supreme Soviet"	0.0626398
CBI	0.0624305
"Cato Institute"	0.0624242
"U.N. Environment Program"	0.0622517
"Health and Welfare Ministry"	0.0621909
ama	0.0620655
"Health Ministry"	0.0620616
CPSC	0.0618935
"Food and Agriculture Organization"	0.0618776
CIRC	0.061829
"Council on Foreign Relations"	0.061727
"National Commission"	0.0617024
"American Red Cross"	0.0616717
"U.S. Treasury Department"	0.0614981
"National Urban League"	0.0614967
pediatrician	0.0613682
"Ministry of Education"	0.0613447
Singson	0.0612536
"Urban League"	0.0612348
IPU	0.0612293
"International Badminton Federation"	0.0611426
"Jupiter Communications"	0.0611035
"American Lung Association"	0.0609591
USGA	0.0608359
Advani	0.0604451
PNC	0.0604021
"British Foreign Office"	0.060066
"Congressional Budget Office"	0.0599902
"World Tourism Organization"	0.0598332
"United Nations Development Program"	0.0598047
"Chinese Academy of Social Sciences"	0.0597914
"PLO Executive Committee"	0.0596579
"Department of Education"	0.0595617
"State Statistics Bureau"	0.0592471
"Ministry of Health"	0.0591708
"International Cycling Union"	0.0591193
"Disease Control"	0.059117
"Truth and Reconciliation Commission"	0.0591045
"Oxford University Press"	0.0590841
"United Nations Educational, Scientific and Cultural Organization"	0.0589823
"Amnesty International"	0.058388
"National Association of Manufacturers"	0.0583396
"Jerusalem Committee"	0.0582716
Dataquest	0.0580394
"National Abortion and Reproductive Rights Action League"	0.0579468
"All-China Journalists Association"	0.0577691
"League of Conservation Voters"	0.0577407
Ikimi	0.0576878
"Tourism Authority of Thailand"	0.0576842
"Department of Agriculture"	0.0575933
"Palestinian National Council"	0.057472
"working group"	0.0573981
Rotary	0.0572577
"United Nations High Commissioner for Refugees"	0.0572438
"Ministry of Communications"	0.0572346
OECD	0.0572017
"Ministry of Foreign Trade and Economic Cooperation"	0.0568813
"Organization of American States"	0.0568748
UNAIDS	0.0564834
"National Tourism Administration"	0.0562348
"Russian Foreign Ministry"	0.0562174
"Presidential Office"	0.0561357
"Ministry of Labor"	0.0560919
RCMP	0.0560337
"Department of Housing and Urban Development"	0.0559587
"Southern Baptist Convention"	0.0558251
"Board of Supervisors"	0.0558239
"Health Department"	0.0557686
"Commerce Department"	0.0557147
Kyprianou	0.0557069
"think tank"	0.0555995
HHS	0.0555264
Synod	0.0554668
"Joint Military Commission"	0.055376
"House GOP"	0.055321
"Public Security Ministry"	0.0552994
"Palestinian Liberation Organization"	0.0552491
"Labor Department"	0.0552213
AARP	0.0551619
"Congressional Black Caucus"	0.0551175
"Ministry of Personnel"	0.0550714
CalPERS	0.0548039
"advisory board"	0.054756
"Revolutionary Command Council"	0.0545724
"Center on Budget"	0.0544796
"Home Ministry"	0.0544387
"Center for Responsive Politics"	0.0544375
"Department of Foreign Affairs"	0.0542458
"Agence France Presse"	0.0542328
ABA	0.0541048
Satcher	0.0538615
"State Administration for Industry"	0.0538123
))
("American Airlines" (desc 17541.6) (sims
"Northwest Airlines"	0.278259
"United Airlines"	0.261659
"US Airways"	0.245617
"Delta Air Lines"	0.241885
"Continental Airlines"	0.237806
"Air France"	0.211908
"Southwest Airlines"	0.204608
"Alaska Airlines"	0.195824
"America West"	0.193223
"Trans World Airlines"	0.183124
"British Airways"	0.180775
Swissair	0.177482
TWA	0.170785
airline	0.169727
"Delta Airlines"	0.168258
delta	0.167208
KLM	0.167137
"Air Canada"	0.16621
EgyptAir	0.163936
Lufthansa	0.163299
"Cathay Pacific"	0.150092
"Philippine Airlines"	0.145191
AIRTRAN	0.142701
"Japan Airlines"	0.137473
Alitalia	0.137309
"Air China"	0.137151
"Kenya Airways"	0.137068
USAir	0.133928
"Singapore Airlines"	0.132041
"AMR Corp."	0.131698
"El Al"	0.131066
"Federal Express"	0.12975
continental	0.123226
"America West Airlines"	0.122036
"General Motors Corp."	0.121771
"Cathay Pacific Airways"	0.120956
AMR	0.119654
"Gulf Air"	0.118093
carrier	0.117985
"Korean Air"	0.115718
Aeroflot	0.114869
"United Parcel Service"	0.112605
"Thai Airways"	0.112574
"UAL Corp."	0.111524
Qantas	0.111186
Fedex	0.110559
"Virgin Atlantic"	0.108496
"Ford Motor Co."	0.108469
Verizon	0.105316
"Reno Air"	0.101773
Iberia	0.101709
Boeing	0.101574
Aeromexico	0.101323
"China Airlines"	0.101149
MCI	0.0998778
Sabena	0.0997716
"Indian Airlines"	0.0974617
"Boeing Co."	0.0968024
"Air India"	0.0963879
northwest	0.0943146
"Pacific Bell"	0.0941683
Asa	0.0929932
"China Southern Airlines"	0.0926376
Cathay	0.0921398
"Eastern Airlines"	0.0914582
Airlines	0.0907285
"South African Airways"	0.0900933
"Thai Airways International"	0.0899739
"MCI WorldCom"	0.0893245
JAT	0.0883738
"Verizon Communications"	0.0873449
"Microsoft Corp."	0.0862589
"Con Edison"	0.0862186
Exxon	0.0857103
"Turkish Airlines"	0.085701
Bridgestone/Firestone	0.0852467
Airbus	0.0851773
"Bell Atlantic"	0.0837072
UAL	0.0826568
"U S West"	0.0825519
"Pan Am"	0.0821089
Comair	0.0820043
"Time Warner"	0.0811586
"Bell Atlantic Corp."	0.0811046
"McDonnell Douglas"	0.0802121
Concorde	0.0799361
Garuda	0.0797779
"General Motors"	0.0790754
Monsanto	0.0786283
Texaco	0.0784179
"Southwestern Bell"	0.0784009
Comcast	0.0782613
WorldCom	0.0780256
"Pepsico Inc."	0.0778324
"Intel Corp."	0.0765575
Motorola	0.0763718
Aetna	0.0762566
"BP Amoco"	0.0758864
DC-@@	0.0757714
"Philip Morris"	0.0757687
GTE	0.0756656
"Consolidated Edison"	0.0754115
"Georgia Power"	0.07526
"American Home Products"	0.0750413
"Ethiopian Airlines"	0.0749991
Ansett	0.0749454
Lockheed	0.0744153
"American eagle"	0.0738394
"British Aerospace"	0.0737851
"Sprint Corp."	0.0734863
Qwest	0.0734523
"Kraft Foods"	0.0733471
ARCO	0.0733284
"Coca-Cola Co."	0.0733132
"Canadian Airlines"	0.0729956
Coca-Cola	0.0725129
"America Online Inc."	0.0717603
"American Express"	0.0716866
IBM	0.071595
YankeeNets	0.0714404
Citibank	0.0713749
"Deutsche Telekom"	0.0711488
"Pac Bell"	0.0711172
"Air France Concorde"	0.0708027
ups	0.0707916
"Chrysler Corp."	0.0706745
FAA	0.0702222
GM	0.0701146
"State Farm"	0.070096
"Deutsche Bank"	0.0700387
"Lockheed Martin"	0.069971
NationsBank	0.0698748
Volkswagen	0.06977
"blue angel"	0.0697281
Mobil	0.0697009
Telefonica	0.0694752
Amtrak	0.0692592
MTA	0.0685643
ValuJet	0.067899
"Blue Cross"	0.0678242
Cargill	0.0675337
"Halliburton Co."	0.067514
Vodafone	0.0674806
"Time Warner Inc."	0.0673449
Hyundai	0.0671955
"Vietnam Airlines"	0.0670559
"Walt Disney Co."	0.0667642
Microsoft	0.0667416
A@@@-@@@	0.0667321
Daimler-Benz	0.0667083
"Conde Nast"	0.0666
"General Electric"	0.0662115
Varig	0.0660468
DirecTV	0.0660092
Intel	0.06591
RealNetworks	0.0659076
Pfizer	0.065883
Cisco	0.0656202
"Chevron Corp."	0.0655617
"Allied Pilots Association"	0.0654648
Vivendi	0.0653574
"R.J Reynolds"	0.0651858
"Bankers Trust"	0.0650329
"Raytheon Co."	0.0649672
BellSouth	0.0648791
Cessna	0.0648331
"KLM Royal Dutch Airlines"	0.0647202
Anheuser-Busch	0.0646965
"Hongkong Telecom"	0.0646372
Learjet	0.0646328
insurer	0.0645874
"National Association of Securities Dealers"	0.0644137
"GTE Corp."	0.0643869
"America Online"	0.063963
"Airbus A@@@"	0.0638695
"Con Ed"	0.0638653
"Pfizer Inc."	0.0638159
DaimlerChrysler	0.0636996
AOL	0.0629556
REVLON	0.0629499
Ford	0.0627438
Pepsico	0.0627422
Sears	0.0624408
"Global Crossing"	0.0623574
Barnesandnoble.com	0.0622987
"Enron Corp."	0.0622091
BankAmerica	0.0621512
"United Auto Workers"	0.0620838
SabreTech	0.0620403
"Johnson &AMP; Johnson"	0.0618832
Omnipoint	0.0618039
"Telecom Italia"	0.0617221
automaker	0.0616127
Gunmakers	0.0615919
PAL	0.0615174
"Air Lanka"	0.0614209
"Tribune Co."	0.06116
SBC	0.061092
"Daimlerchrysler AG"	0.0609855
Bertelsmann	0.0609521
))
("American Andre Agassi" (desc 1523.07) (sims
"American Pete Sampras"	0.241597
"American Lindsay Davenport"	0.241487
"Briton Greg Rusedski"	0.22936
"Russian Yevgeny Kafelnikov"	0.227191
"Alex Corretja"	0.222193
"American Chanda Rubin"	0.206114
"Greg Rusedski"	0.197962
"American Michael Chang"	0.196376
"Carlos Moya"	0.193971
"Andre Agassi"	0.191385
"Richard Krajicek"	0.187898
"South African Amanda Coetzer"	0.187885
"Magnus Norman"	0.184194
"Michael Chang"	0.183964
"Tim Henman"	0.183118
"Karol Kucera"	0.179282
"Thomas Enqvist"	0.173662
"Marcelo Rios"	0.172566
"Dominique Van Roost"	0.172429
"Nathalie Tauziat"	0.17168
"American Todd Martin"	0.170224
"Cedric Pioline"	0.168508
"Brenda Schultz-McCarthy"	0.168203
"Goran Ivanisevic"	0.162876
"Hernan Gumy"	0.161842
"Gustavo Kuerten"	0.161698
"Arantxa Sanchez Vicario"	0.161209
"Yevgeny Kafelnikov"	0.158852
"Mary Pierce"	0.158244
"Xia Xuanze"	0.155632
"Jim Courier"	0.155273
"Anke Huber"	0.154517
"Felix Mantilla"	0.154078
"Alberto Berasategui"	0.153564
"Younes El Aynaoui"	0.151479
"Boris Becker"	0.151165
"Monica Seles"	0.150873
"Francisco Clavet"	0.150408
"Petr Korda"	0.149103
"Jonas Bjorkman"	0.149096
"Arantxa Sanchez-Vicario"	0.14898
"Judith Wiesner"	0.148146
"Venus Williams"	0.147829
"Pete Sampras"	0.146944
"Thomas Muster"	0.14657
"Mark Philippoussis"	0.146222
"Li Fang"	0.145691
"Julie Halard-Decugis"	0.14471
"Wayne Ferreira"	0.144046
"Conchita Martinez"	0.143737
"Todd Woodbridge"	0.143616
"Mark Woodforde"	0.14211
"Mariano Puerta"	0.141374
"Sandrine Testud"	0.140572
"Jason Stoltenberg"	0.140222
"Jana Novotna"	0.139582
"Richard Fromberg"	0.139423
Siemerink	0.13937
"Amanda Coetzer"	0.138939
"Albert Costa"	0.138403
"Ai Sugiyama"	0.138373
"Nicolas Kiefer"	0.135905
"Jansher Khan"	0.135158
"Sarah Pitkowski"	0.134701
"Patrick Rafter"	0.134609
"Martina Hingis"	0.13387
"Marc Rosset"	0.132349
Taufik	0.131837
"Joko Suprianto"	0.131503
"Elena Likhovtseva"	0.131451
Kafelnikov	0.131069
"Chanda Rubin"	0.131066
"Irina Spirlea"	0.130766
"Tommy Haas"	0.130602
Agassi	0.130491
"Sabine Appelmans"	0.129389
"Barbara Paulus"	0.129201
"Carlos Costa"	0.1286
"Patty Schnyder"	0.128395
"Steffi Graf"	0.128116
"Nicolas Lapentti"	0.127878
"Marat Safin"	0.127757
"Pat Rafter"	0.126935
Mantilla	0.126086
"Peter Nicol"	0.126015
"Lindsay Davenport"	0.125967
"Thomas Johansson"	0.125344
"Silvia Farina"	0.125328
"Australian Mark Philippoussis"	0.124705
Ferreira	0.124296
"Kimiko Date"	0.124015
"Ge Fei"	0.12378
"Peter Gade Christensen"	0.123489
"Todd Martin"	0.123003
"Iva Majoli"	0.122599
"Camilla Martin"	0.121929
"Mia Audina"	0.121908
"Ye Zhaoying"	0.120318
Clavet	0.120124
Likhovtseva	0.119838
Berasategui	0.119312
"Natasha Zvereva"	0.118401
"Richey Reneberg"	0.118291
"Magdalena Maleeva"	0.118126
"Barbara Schett"	0.117666
"MaliVai Washington"	0.117497
"Ruxandra Dragomir"	0.117267
Seles	0.117092
Nicol	0.115456
"Kong Linghui"	0.115034
"Sergi Bruguera"	0.114991
"Chris Woodruff"	0.114419
Halard-Decugis	0.11407
Testud	0.11378
"Nathalie Dechy"	0.113663
"Serena Williams"	0.113251
"Byron Black"	0.113233
Moya	0.113014
"Andrea Gaudenzi"	0.112748
"Scarlet Knights"	0.112314
"Albert Portas"	0.111555
Kiefer	0.110668
"Franco Squillari"	0.110634
"Magnus Larsson"	0.110569
"Sjeng Schalken"	0.109663
"Lleyton Hewitt"	0.109291
"Dominik Hrbaty"	0.108961
"Christian Ruud"	0.107817
Spadea	0.107568
Henman	0.107453
"Ong Ewe Hock"	0.107341
"Jacco Eltingh"	0.107325
"Gong Zhichao"	0.106827
"Van Roost"	0.106628
"Leander Paes"	0.106456
"Arnaud Boetsch"	0.105923
"Vince Spadea"	0.105722
"Amelie Mauresmo"	0.105456
Bruguera	0.105185
"Brett Steven"	0.105085
"Fabrice Santoro"	0.104945
"Magnus Gustafsson"	0.104724
Boilermakers	0.104714
"Karim Alami"	0.10419
Corretja	0.103974
"Paul Haarhuis"	0.103491
Gustafsson	0.103391
"Lisa Raymond"	0.102596
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Waldner	0.101308
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Susanti	0.0979283
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RedHawks	0.0967229
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Bjorkman	0.0948532
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rios	0.0943383
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Kournikova	0.0938805
Kuerten	0.093843
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"Jennifer Capriati"	0.0935504
"Li Ju"	0.0932779
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"Tom Dolan"	0.0901688
"Hicham Arazi"	0.0898695
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Edberg	0.089103
Mauresmo	0.0880909
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Larsson	0.087167
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Enqvist	0.0848623
Hoya	0.0848412
Coetzer	0.0848358
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sub-commission	0.0846317
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AARP	0.0749071
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NSC	0.0652507
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PNC	0.0603617
ESCAP	0.0601635
CAS	0.0601151
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IGC	0.0554886
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Russian-U.S.	0.0552405
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ENTREMED	0.0529517
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"CPPCC National Committee"	0.052654
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"International Criminal Tribunal for Rwanda"	0.0523329
Presidium	0.0522909
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"steering committee"	0.0520294
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JMC	0.0520171
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"board of trustees"	0.0514614
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"still room"	0.0491986
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"Koha Ditore"	0.0485267
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UPU	0.0484805
China-U.S.	0.0484624
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"Selection Committee"	0.0477915
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"Council of Europe"	0.0476486
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"International Brotherhood"	0.0472762
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("American Association of Health Plans" (desc 1214.17) (sims
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AARP	0.108143
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CCF	0.101273
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Missourian	0.0997585
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ICBC	0.0977525
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ACWF	0.086525
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SCLC	0.0818647
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CRI	0.0752163
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BNFL	0.0738083
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("American Association of Retired Persons" (desc 2534.43) (sims
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ACLU	0.123354
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Oxfam	0.0932603
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NRA	0.0891832
Greenpeace	0.0882011
GOPAC	0.0878858
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CWA	0.0835501
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PricewaterhouseCoopers	0.0808608
"think tank"	0.0806689
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UNAIDS	0.0748686
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Caritas	0.0727841
AAA	0.0725188
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Mensa	0.0717989
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guild	0.0693255
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UNICEF	0.0686673
"World Vision"	0.068623
"Department of Commerce"	0.0684982
"American Express"	0.0678994
"Des Moines Register"	0.0678681
"Agence France Presse"	0.0677991
"International Labor Organization"	0.0675447
"Census Bureau"	0.0671296
"College Board"	0.0668706
"Australian Bureau of Statistics"	0.066789
"National Cancer Institute"	0.0666329
"Kaiser Permanente"	0.0665753
"Arizona Republic"	0.0664011
"Information Center"	0.0663164
"Ministry of Internal Trade"	0.0661745
"American Psychological Association"	0.0659223
"China National Tourism Administration"	0.0658321
"China Society"	0.0653794
"Federal Trade Commission"	0.065377
"Catholic Charities"	0.0653744
"United Auto Workers"	0.0653466
"Commonwealth Ministerial Action Group"	0.0651287
"U.S. Soccer Federation"	0.0645759
"Department of Health"	0.0645535
"USA Basketball"	0.0644309
"Philadelphia Orchestra"	0.0643881
"Motion Picture Association of America"	0.0643646
"Organization for Economic Cooperation and Development"	0.0638981
"Council of Economic Advisers"	0.0638908
"U.S. Fish and Wildlife Service"	0.0635839
"Academy of Motion Picture Arts"	0.0635303
TrustE	0.0630956
"State Bureau of Environmental Protection"	0.0628871
"U.S. Census Bureau"	0.0624163
"Local @@@"	0.0619799
"U.S. Geological Survey"	0.0619772
"Department of Education"	0.0619611
"Nevada State Athletic Commission"	0.0614927
"Southern Baptist Convention"	0.061303
"Simon Wiesenthal Center"	0.0611848
"Health Department"	0.061103
"Republican National Committee"	0.0606642
"Xinhua News Agency"	0.0606275
"Democratic Congressional Campaign Committee"	0.0605765
"Better Business Bureau"	0.0605268
"World Bank Group"	0.0603258
))
("American Ballet Theater" (desc 2862.06) (sims
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"New York City Opera"	0.177434
"New York City Ballet"	0.172236
"City Ballet"	0.168631
"Royal Ballet"	0.142587
"New York Philharmonic"	0.110781
"Metropolitan Opera"	0.100276
"City Opera"	0.0995839
"Lincoln Center Festival"	0.098107
troupe	0.0970231
"Philadelphia Orchestra"	0.0965392
"Mikhail Baryshnikov"	0.0866925
Philharmonic	0.0862708
"opera company"	0.084494
"ballet company"	0.0812639
"Roundabout Theater Company"	0.077485
"American Jewish Committee"	0.0751712
"New York Civil Liberties Union"	0.0690735
Baryshnikov	0.0680469
"Juilliard School"	0.0672519
Marsalis	0.0649754
"Royal Shakespeare Company"	0.0643127
"World Jewish Congress"	0.0639866
"Housing Authority"	0.0624938
"Boston Symphony Orchestra"	0.061424
"symphony orchestra"	0.0613879
"Republican Leadership Council"	0.0610899
"Nevada State Athletic Commission"	0.0605651
Balanchine	0.0594636
"Whitney Museum of American Art"	0.0588146
"National Republican Congressional Committee"	0.0586943
"Carnegie Hall"	0.0585263
"Ethics Commission"	0.0583374
"Berlin Philharmonic"	0.0580067
"Catholic Charities"	0.0570621
ACLU	0.056785
"Electronic Privacy Information Center"	0.0565349
Astaire	0.0557766
"Wynton Marsalis"	0.0552641
"Families USA"	0.0541925
"Log Cabin Republicans"	0.0541434
"Potsdamer Platz"	0.053922
"Human Rights Campaign"	0.0537261
met	0.0534621
Oregonian	0.0534271
"Congressional Black Caucus"	0.0526633
"Museum of Natural History"	0.0525984
"American Association of Retired Persons"	0.0525033
"Hong Kong Tourist Association"	0.0524827
"Royal National Theater"	0.0514438
"Solomon R. Guggenheim Museum"	0.0513656
"Royal Opera House"	0.0513382
Bolshoi	0.0511669
Atler	0.0509881
"District Council"	0.0504937
"China National Petroleum Corporation"	0.0504608
"Human Rights Watch"	0.0500155
"Winning Colors"	0.0500109
PictureTel	0.0497131
AstraZeneca	0.0496201
"Nature Conservancy"	0.0490171
"Anti-Defamation League"	0.0489975
"International Rescue Committee"	0.0487857
emachines	0.0485184
"Violence Policy Center"	0.048094
NAACP	0.0478733
"blue angel"	0.04772
"English Football Association"	0.0476648
"Consumer Federation"	0.0476454
"U.S. Golf Association"	0.0474963
"U.S. Soccer Federation"	0.0471954
VFW	0.047037
"Nevada Athletic Commission"	0.0470106
"Museum of Modern Art"	0.0469522
"Lincoln Center Theater"	0.0468247
"Beijing Opera"	0.0467973
"Memorial Sloan-Kettering Cancer Center"	0.0467525
metropolitan	0.0463713
Nepa	0.0463631
"American Legion"	0.0462291
roundabout	0.0460938
NLRB	0.0459218
"Transparency International"	0.0457574
"Sierra Club"	0.0456901
"U.N. Office"	0.0455539
"Natural Born Killers"	0.0455076
"United Nations Population Fund"	0.0454788
"Brooklyn Academy of Music"	0.0454417
Puente	0.0454312
"League of Conservation Voters"	0.0452992
"theater company"	0.0450989
"Recording Industry Association of America"	0.0449624
"United Auto Workers"	0.044853
"Audubon Society"	0.0447048
"Peking Opera"	0.0443993
"jazz band"	0.0442648
REVLON	0.0441427
CMA	0.0440291
"National Alliance"	0.0439682
"Democratic Congressional Campaign Committee"	0.0436731
"Board of Elections"	0.043669
"Operation Desert Storm"	0.0435974
"English Patient"	0.0435963
Supremes	0.0433623
"La Scala"	0.0432985
"National Organization"	0.0431544
"Democratic Senatorial Campaign Committee"	0.0431532
"United Nations Office"	0.0431222
"Center for Science"	0.0429452
CRI	0.0429388
"Cosby Show"	0.0429244
"Hong Kong Trade Development Council"	0.0428286
"Central Intelligence Agency"	0.0427866
"Barnard College"	0.0427412
"Union of Concerned Scientists"	0.0427171
"American Civil Liberties Union"	0.0426706
"Mighty Joe Young"	0.0426659
"chorus line"	0.0425989
Nicol	0.0423156
UNDCP	0.0421976
"Democratic National Committee"	0.0420015
"Suffolk Downs"	0.0419232
"Lincoln Center"	0.0417803
"Common Cause"	0.0417305
Michelin	0.0415786
"P.S @@@"	0.0415524
"Arizona Cardinals"	0.041537
"Team USA"	0.0414179
"American International Group"	0.0413925
"Chase Manhattan Bank"	0.0412985
TDC	0.041182
Expedia	0.0411715
IRL	0.0411258
WGBH	0.0408618
"Southeastern Legal Foundation"	0.0408547
"belly dancer"	0.0408525
"Xinhua News Agency Hong Kong Branch"	0.0408332
"chamber orchestra"	0.040733
Mohr	0.0406989
"Democratic Leadership Council"	0.0405661
"Texas Air National Guard"	0.0403878
"National Theater"	0.0403639
"Calgary Flames"	0.0403629
"Meet Joe Black"	0.040217
Guggenheim	0.0402013
"American Basketball League"	0.040181
"National Audubon Society"	0.0401176
"League of Women Voters"	0.0400973
"Cannes International Film Festival"	0.0400093
))
("American Bankers Association" (desc 1624.18) (sims
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"U.S. Chamber of Commerce"	0.192187
"National Republican Congressional Committee"	0.184437
"Handgun Control"	0.183647
"National Association of Manufacturers"	0.179171
"American Association of Health Plans"	0.163833
"National Federation"	0.161993
"National Education Association"	0.161556
"Center for Democracy"	0.158684
"Air Transport Association"	0.141237
"American Civil Liberties Union"	0.129195
"Mastercard International"	0.12868
"National Association"	0.12593
"Handgun Control Inc."	0.12354
"U.S. Immigration and Naturalization Service"	0.121156
"Consumers Union"	0.121088
"Health and Human Services Department"	0.119275
"Association of Flight Attendants"	0.118557
"American Association of Retired Persons"	0.118016
"Democratic Congressional Campaign Committee"	0.116779
"Philip Morris Cos."	0.116614
"Electronic Privacy Information Center"	0.112804
"Communications Workers of America"	0.111625
"American Federation"	0.111609
"Common Cause"	0.108006
"Cuban American National Foundation"	0.107846
"National Organization"	0.1076
"Violence Policy Center"	0.107223
"Consumer Federation"	0.104563
"Human Rights Watch"	0.10446
"Southern Co."	0.104284
"Department of Foreign Affairs"	0.103354
"American Petroleum Institute"	0.102898
DRI	0.10216
"National Association of Broadcasters"	0.101906
"Coca-Cola Enterprises"	0.101169
"Air Line Pilots Association"	0.100386
"Democratic Senatorial Campaign Committee"	0.0968534
"Recording Industry Association of America"	0.0964223
"New York Times Co."	0.0961273
"Bill Lockyer"	0.0959552
"Department of Corrections"	0.0925076
"United Nations High Commission for Refugees"	0.0917949
"Environmental Defense Fund"	0.0915555
"American Legion"	0.0912784
"Port Authority of New York"	0.0902479
"Anti-Defamation League"	0.0896759
"Philip Morris"	0.0892226
"National Alliance"	0.0891837
"Heritage Foundation"	0.0884859
"Natural Resources Defense Council"	0.0879499
"Department of Environmental Protection"	0.0876232
"Republican National Committee"	0.0872727
"Department of Public Safety"	0.0868821
"Southern Poverty Law Center"	0.0862272
"National Council of Churches"	0.0860271
AFL-CIO	0.085378
"National Council of La Raza"	0.0846775
"Human Rights Campaign"	0.0844091
"Board of Elections"	0.0842873
"Federal Reserve Bank"	0.0840973
ACLU	0.0833846
"right to life"	0.0832351
AAA	0.0831253
"British High Commission"	0.0828623
Nabisco	0.0825905
"Sierra Club"	0.0824791
"Department of Environmental Conservation"	0.0820423
"Olympic Council of Asia"	0.0818959
"Family Research Council"	0.0813692
"U.S. Treasury Department"	0.0803577
"State Administration of Taxation"	0.0802106
"Texas Department of Public Safety"	0.0800016
"Chevron Corp."	0.0798015
"French Foreign Ministry"	0.0797011
"Center for Science"	0.0790706
"National Association of Securities Dealers"	0.0790552
"National Abortion and Reproductive Rights Action League"	0.0788617
"Christian Coalition"	0.0787909
"Planned Parenthood"	0.078623
"Immigration and Naturalization Service"	0.0782717
"Central Bank of Kenya"	0.0780822
"Department of Health"	0.0772361
Wyeth-Ayerst	0.0770334
"American Cancer Society"	0.0767639
"National Highway Traffic Safety Administration"	0.0766462
"Office of Management and Budget"	0.0765845
"Iranian Foreign Ministry"	0.076549
"Department of Public Health"	0.0765122
Oxfam	0.076387
"Conference Board"	0.0763084
"State Statistics Bureau"	0.0762262
"Education Department"	0.0761331
"U.N. High Commissioner for Refugees"	0.0756499
"National Conference"	0.0756266
"National Marine Fisheries Service"	0.0753455
"Health Department"	0.0752323
"Treasury Department"	0.0745343
"National Rifle Association"	0.0741906
"Koch Industries"	0.0729953
"Standard Chartered Bank"	0.0728956
"Department of Health and Human Services"	0.0727448
"Rainbow/PUSH Coalition"	0.0722126
"American Heart Association"	0.0720913
"U.N. World Food Program"	0.0715968
"Log Cabin Republicans"	0.0714279
"Dennis Vacco"	0.0713039
"Dan Glickman"	0.0710402
"Cato Institute"	0.070909
"Department of Commerce"	0.0707483
"Allied Pilots Association"	0.0703882
"Center for Strategic"	0.0697577
"Social Security Administration"	0.0696413
"Motion Picture Association of America"	0.0691092
"National Audubon Society"	0.0678298
"Federal Emergency Management Agency"	0.0677907
ABCNews.com	0.067596
AARP	0.0675487
"American Lung Association"	0.0675333
"Russian Foreign Ministry"	0.0671569
"International Committee"	0.0667606
"Chinese Foreign Ministry"	0.0667399
"National Electoral Commission of Nigeria"	0.0666954
"American Bar Association"	0.0666488
"Hewlett-Packard Co."	0.06628
"Federal Trade Commission"	0.0661384
"General Electric Co."	0.0661346
"Health Care Financing Administration"	0.0661262
"American Medical Association"	0.0659932
"Department of Agriculture"	0.0659484
"American Red Cross"	0.0659464
"Department of Finance"	0.0657239
"Time Warner Cable"	0.0655935
"American Jewish Committee"	0.0654981
Bristol-Myers	0.0651785
"Ministry of International Trade and Industry"	0.0651219
"National Bureau of Statistics"	0.0650258
"Port Authority"	0.0649497
"Department of Housing and Urban Development"	0.0640285
"Columbia Records"	0.0638558
"Fidelity Investments"	0.063684
"Justice Ministry"	0.0635807
"R.J Reynolds Tobacco Co."	0.0633807
"National Association of Realtors"	0.0631017
Caritas	0.0629332
"Airport Authority"	0.0625696
"Pfizer Inc."	0.0622954
"Amnesty International"	0.0621488
"World Food Program"	0.062032
Bridgestone/Firestone	0.0619292
"Indian High Commission"	0.0617165
"International Finance Corporation"	0.0614763
"Wells Fargo"	0.0613513
Hynes	0.0611058
"Prudential Securities"	0.0610568
"American Enterprise Institute"	0.0609343
"Southwestern Bell"	0.0608738
"trade association"	0.0607668
"Russian Space Agency"	0.0606593
"United Nations High Commissioner for Refugees"	0.0605991
"House Majority Whip Tom DeLay"	0.0604546
"Procter &AMP; Gamble"	0.0604438
"Glaxo Wellcome"	0.0601248
"Bank of Thailand"	0.059974
"Merrill Lynch &AMP; Co."	0.059969
"Kaiser Permanente"	0.0595395
"AMR Corp."	0.0591342
"Rod Thorn"	0.0589837
"George E. Pataki"	0.058286
"NBC News"	0.0581759
"State Seismological Bureau"	0.0580838
"Local @@@"	0.0578272
Missourian	0.0577901
"National Park Service"	0.0576555
"Southern Baptist Convention"	0.0574626
"Times Mirror Co."	0.0573103
"Con Edison"	0.0572419
"Fox Sports"	0.0568876
"Charles Schwab &AMP; Co."	0.056571
"House Commerce Committee"	0.0564367
"Securities and Exchange Commission"	0.056407
"Consumer Product Safety Commission"	0.0562605
"Chase Manhattan Bank"	0.0562113
Sears	0.0556936
"P&AMP;G"	0.0553095
TrustE	0.0552684
"Democratic National Committee"	0.0552557
"Blue Cross"	0.0552323
"Ernst &AMP; Young"	0.0550714
"Federal Election Commission"	0.055029
"Fleet Financial Group"	0.0549251
"Department of Labor"	0.0548468
"foreign office"	0.0547614
"Bank for International Settlements"	0.0547494
"U.S. State Department"	0.0546274
"Drug Enforcement Administration"	0.0542545
"United Parcel Service"	0.0540026
"Judicial Watch"	0.0538043
"Royal Ulster Constabulary"	0.0535851
"Public Security Ministry"	0.0534632
))
("American Bar Association" (desc 4498.96) (sims
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"American Academy of Pediatrics"	0.170153
"American Heart Association"	0.153883
"American Psychological Association"	0.149845
"American Civil Liberties Union"	0.148935
"National Research Council"	0.146126
"National Council of La Raza"	0.137533
ABA	0.131068
"National Association"	0.129551
"National Urban League"	0.123339
"Congressional Black Caucus"	0.121885
"National Academy of Sciences"	0.119944
AFL-CIO	0.117267
"American Association of Retired Persons"	0.117128
NAACP	0.115367
"League of Conservation Voters"	0.112458
"American Psychiatric Association"	0.111466
"Christian Coalition"	0.109622
"National Education Association"	0.109206
"International Society"	0.108276
"U.S. Chamber of Commerce"	0.1062
"Democratic Leadership Council"	0.103476
"Council of Europe"	0.101614
"Families USA"	0.10145
AARP	0.101367
"Institute of Medicine"	0.100303
"Anti-Defamation League"	0.0974368
"Kaiser Family Foundation"	0.0970784
"Motion Picture Association of America"	0.0959982
"Rainbow/PUSH Coalition"	0.0958246
"Federal Highway Administration"	0.0955855
CMA	0.0947
"American Legion"	0.0946673
PNC	0.0945139
"International Labor Organization"	0.0941318
"Southeastern Legal Foundation"	0.0940695
ILO	0.0938376
"Board of Supervisors"	0.0936565
"American Petroleum Institute"	0.092747
"Palestinian Council"	0.090291
"World Jewish Congress"	0.0900827
"Supreme Soviet"	0.0882608
"League of Women Voters"	0.0869585
"Olympic Council of Asia"	0.0866995
"International Amateur Athletic Federation"	0.0863465
"National Rifle Association"	0.0859228
"American Association"	0.085213
"All-China Journalists Association"	0.0847014
"National Federation"	0.0846938
guild	0.0846597
"World Health Organization"	0.0843803
"Southern Baptist Convention"	0.0840689
OCA	0.0836491
"Securities Industry Association"	0.0832225
"Asia Society"	0.0823999
NRA	0.0819891
ama	0.0818844
"National Abortion and Reproductive Rights Action League"	0.0815034
"College Board"	0.0812969
"World Economic Forum"	0.081251
APA	0.0804051
NEA	0.0802738
"National Association of Broadcasters"	0.0801487
"New York Civil Liberties Union"	0.0796087
"Inter-Parliamentary Union"	0.0795597
interagency	0.0795386
CAF	0.0790692
"Federal Trade Commission"	0.0789628
"Palestinian National Council"	0.0787608
"House International Relations Committee"	0.0786953
"Amnesty International"	0.0783894
"Football Association"	0.0780537
"European Parliament"	0.0780441
IPU	0.0777441
"Israeli Cabinet"	0.0775196
"House Budget Committee"	0.0773177
"U.N. Human Rights Commission"	0.0769884
"National Association of Manufacturers"	0.0766951
"right to life"	0.0765584
"Russian Duma"	0.076161
"Republican National Committee"	0.0761488
"Organization of Islamic Conference"	0.0759042
"South Pacific Forum"	0.0754497
"National Society"	0.074758
"NFL Players Association"	0.0746128
"Judicial Watch"	0.074576
"International Olympic Committee"	0.0744915
"Urban League"	0.0743597
"National Council of Churches"	0.074314
IGC	0.0737626
PUC	0.073692
"Common Cause"	0.0736131
"Palestine National Council"	0.0731856
"Southern Baptists"	0.0731125
"American Jewish Committee"	0.0728757
"Arab Parliamentary Union"	0.0728698
UPU	0.0727331
RNC	0.0725228
"Arab League"	0.0723672
"Recording Industry Association of America"	0.0723272
NSC	0.0722911
"Sierra Club"	0.0719856
"Commonwealth Ministerial Action Group"	0.0718374
"China Association for Science"	0.0716559
"Economic and Social Council"	0.0716309
"United Nations Security Council"	0.0715995
"Republican Leadership Council"	0.0715956
"European Bank for Reconstruction"	0.0714616
"American Federation"	0.0711402
"Israeli Knesset"	0.0709866
"Business Council"	0.0708436
NIH	0.070834
ADL	0.070597
VFW	0.0702309
"blue ribbon"	0.0701047
"American Cancer Society"	0.0700589
"Justice Department"	0.0698296
"chamber of commerce"	0.0697552
"PLO Executive Committee"	0.0697125
"Kennedy Center"	0.0696179
"Organization of American States"	0.0694917
UNICEF	0.0693887
DLC	0.0693725
"Philippine Senate"	0.0692423
"Screen Actors Guild"	0.0692122
"National Collegiate Athletic Association"	0.0691806
"Planned Parenthood"	0.0690477
"interim committee"	0.0689969
"Tom Hayden"	0.068265
ESCAP	0.0682094
"All-China Youth Federation"	0.0681664
"U.S. Golf Association"	0.067991
ITF	0.0679547
"International Federation"	0.0678936
"Public Citizen"	0.0675193
"Texas Senate"	0.0674662
WEF	0.0674362
"Alcoholics Anonymous"	0.0674201
"Cendant Corp."	0.0673839
"World Petroleum Congress"	0.0673685
"Council on Foreign Relations"	0.0671269
"Environmental Protection Agency"	0.0670199
"Cuban American National Foundation"	0.0667831
UNESCO	0.0667462
OECD	0.06672
"American Bankers Association"	0.0666488
"North Atlantic Council"	0.066646
"Air Transport Association"	0.0665392
DNC	0.0664094
CBI	0.0663179
"International Ski Federation"	0.0660667
"Secretary General Esmat Abdul-Meguid"	0.0660531
"United Malays National Organization"	0.0660202
"European Council"	0.0656958
"Russian Parliament"	0.0656799
"House Commerce Committee"	0.0656653
SCLC	0.065276
"Atomic Energy Commission"	0.0651342
"Food and Drug Administration"	0.0651234
"International Brotherhood"	0.0649688
CAS	0.064713
"China Youth Development Foundation"	0.0646225
"Commission on Human Rights"	0.0644859
IGAD	0.0644283
CPAFFC	0.0643547
"House Appropriations Committee"	0.0642984
"Salt Lake Organizing Committee"	0.0641074
Greenpeace	0.0637589
Comelec	0.063719
"United Nations Children's Fund"	0.0634415
"Federal Reserve Board"	0.063438
"Joint Commission"	0.0633685
"Mormon Church"	0.0632212
"Medical Society"	0.0631691
"Federal Council"	0.0629318
"U.S. Olympic Committee"	0.0629118
"Group of @@"	0.0628853
OIC	0.0628331
"Commission on Elections"	0.0627253
"Council of Economic Advisers"	0.062483
"Federal Emergency Management Agency"	0.062288
"International Committee"	0.0622866
"Human Rights Commission"	0.0622452
"National Institutes of Health"	0.0621608
"United National Independence Party"	0.0619531
Confederation	0.061949
"Communications Workers of America"	0.061926
"U.S. Information Agency"	0.0618712
SAARC	0.0618577
"Academy of Motion Picture Arts"	0.0617048
"Senate Armed Services Committee"	0.0616993
"board of regents"	0.0616632
UEFA	0.0616436
"International Cycling Union"	0.0616389
"Non-Aligned Movement"	0.0616284
"House Banking Committee"	0.0615885
fact-finding	0.0615676
CCPIT	0.0614858
Bundestag	0.0612174
"Pew Research Center"	0.0611737
))
("American Basketball League" (desc 2447.71) (sims
ABL	0.28654
"Yamaichi Securities Co."	0.145641
"Southwest Conference"	0.137591
"American Football League"	0.127425
"Warsaw Pact"	0.125889
"East African Community"	0.114611
AFL	0.108724
ABA	0.10188
"Continental Basketball Association"	0.0958065
"National Hockey League"	0.0832972
"Islamic Welfare Party"	0.0824164
"National Basketball Association"	0.0765577
"Indy Racing League"	0.0759711
"Atlantic Coast Conference"	0.0743939
"professional baseball"	0.0736564
CWS	0.0702639
CBA	0.0662208
WNBA	0.0661234
"Western Athletic Conference"	0.0646528
"NFC East"	0.0637246
"professional basketball"	0.0631094
"basketball league"	0.0621771
"Diamond Multimedia"	0.0616041
WAC	0.061379
"Southeastern Conference"	0.061257
DIVX	0.0608637
"Eastern Airlines"	0.0606021
"Arena League"	0.0605139
"Big Sky Conference"	0.0602212
"Big East"	0.0598005
"AFC Central"	0.0594543
"Conference USA"	0.0594042
Maurier	0.0591511
"Big West"	0.0584898
"NFC Central"	0.0579208
A.L.	0.0577761
"Division I-AA"	0.0576788
"little league"	0.0572278
cruiserweight	0.0565158
EuroLeague	0.0564902
"American League"	0.0564873
"Canadian Football League"	0.0558199
"NFL Europe"	0.0557986
"Division @"	0.0551201
"junior welterweight"	0.0550467
"International Boxing Federation"	0.0550142
"Pepsico Inc."	0.054824
"World League"	0.0545763
"Big @@"	0.0545052
"U.N. Special Commission"	0.0543636
Yamaichi	0.0541629
Pacific-@@	0.053996
"AFC East"	0.0538864
"AFC West"	0.0536226
Livent	0.0535854
Bundesliga	0.0529167
snooker	0.05264
NFC	0.0525708
"junior lightweight"	0.0524047
USSR	0.0519216
"National Football League"	0.0513942
"Phenix City"	0.0513351
"World Vision"	0.0510145
"Alejandro Toledo"	0.051011
"Canadian Airlines"	0.050986
Pac-@@	0.0508142
"Conde Nast"	0.0506811
Vialli	0.0506662
"U.S. Amateur"	0.0506204
XFL	0.0503176
"Philippine Airlines"	0.0502394
"Negro Leagues"	0.0502033
AFC	0.0500826
NKP	0.0500153
"Italian League"	0.0499619
"NFC West"	0.049834
collider	0.049795
"audio CD"	0.0497737
ml	0.0495824
"Red Star"	0.0494398
"American Hockey League"	0.049325
"Fox Network"	0.0492268
"Little League World Series"	0.0492118
"NL Central"	0.0491826
"American football"	0.0489929
"professional football"	0.0487777
"Pan Ams"	0.0487455
"TOMS RIVER"	0.0487161
"Arena Football League"	0.0485261
"Championship Auto Racing Teams"	0.0484923
EAC	0.0483135
"Big Sky"	0.0482587
"National League Central"	0.0480848
"first nine"	0.0480566
"Ivy League"	0.0480277
"West Regional"	0.0477576
"finance company"	0.0475847
"International League"	0.0473427
"World Boxing Council"	0.047289
"AL Central"	0.0471222
"water polo"	0.0470903
"Horned Frogs"	0.0468008
"computer business"	0.0467642
"Ryder Cups"	0.0467209
"Congressional Black Caucus"	0.0466664
"National League"	0.0465345
"other eight"	0.0461148
"counsel law"	0.0459645
"World Boxing Association"	0.045333
"Mastercard Colonial"	0.0451992
"Enron Corp."	0.0450632
PBA	0.0448923
"Chinese Olympic"	0.0448229
commodore	0.0444278
"Netscape Communications"	0.044408
"League of Nations"	0.0444038
"Larry Sanders Show"	0.0442212
"Bell Labs"	0.0441394
"Southwest Airlines"	0.0441252
Gitic	0.0440199
"Western Open"	0.043943
"Solheim Cup"	0.0438911
eight-time	0.0436372
WCC	0.0435962
nine-time	0.0435142
"light heavyweight"	0.0434905
Ganassi	0.0434598
"National League West"	0.0434311
"East Berlin"	0.0432547
"Game Boy"	0.0431429
"Central Division"	0.0431137
"Pan Pacific"	0.0429626
special-teams	0.0425462
"first CD"	0.0424632
"MLS Cup"	0.0423448
Seven-time	0.0421517
"Atlanta Olympic"	0.0420249
"College World Series"	0.0419797
Penders	0.0419064
"Chicago Blackhawks"	0.041746
"Studio @@"	0.041584
"United States Open"	0.0412545
"Premier League"	0.0412074
"brokerage house"	0.0411992
Serie	0.0411239
"Isaac Stern"	0.0411193
"junior middleweight"	0.0406964
Festina	0.0406413
anemone	0.0406331
"Nike Tour"	0.0403306
"American Ballet Theater"	0.040181
"National Collegiate Athletic Association"	0.040103
))
("American Beauty" (desc 12084.6) (sims
"Being John Malkovich"	0.168816
"Saving Private Ryan"	0.161859
"Galaxy Quest"	0.152293
"Cider House Rules"	0.146184
"Eyes Wide Shut"	0.145142
"Good Will Hunting"	0.14321
"Erin Brockovich"	0.138066
"Fight Club"	0.137189
Antz	0.133709
"Green Mile"	0.132263
"Blair Witch Project"	0.132245
"sixth sense"	0.130261
"Life Is Beautiful"	0.122091
EdTV	0.118381
"American Pie"	0.117043
"Central Station"	0.115118
"chicken run"	0.1137
"Runaway Bride"	0.113346
"Patch Adams"	0.110174
"Mickey Blue Eyes"	0.108824
Matrix	0.105379
Bowfinger	0.104697
Bulworth	0.103914
"Double Jeopardy"	0.103888
"Stuart Little"	0.103045
Gladiator	0.102915
Rushmore	0.100618
"Nurse Betty"	0.099749
"Civil Action"	0.0990875
"Thin Red Line"	0.0976924
"Straight Story"	0.0973157
"Toy Story @"	0.0971931
"Smoke Signals"	0.0965635
"Notting Hill"	0.0947316
"high fidelity"	0.0933874
Pleasantville	0.0931647
"Cruel Intentions"	0.0920003
Magnolia	0.0909139
"Thomas Crown Affair"	0.0903239
"Got Mail"	0.0897822
"Perfect Storm"	0.0891603
"Space Cowboys"	0.0889979
"Boogie Nights"	0.0887004
"Blair Witch"	0.0883581
"Scary Movie"	0.0868329
"Jerry Maguire"	0.0857546
Shakespeare	0.0827628
"Simple Plan"	0.0822342
ripley	0.081878
FARGO	0.0816571
"Big Daddy"	0.081415
stepmom	0.0811933
"Truman Show"	0.0809463
Titanic	0.0790431
"Get Real"	0.0785569
"L.A Confidential"	0.0784015
"Pulp Fiction"	0.0783588
"Wild Wild West"	0.0779984
"Little Voice"	0.0769106
"Iron Giant"	0.0767725
X-MEN	0.0753375
"English Patient"	0.0753349
Ronin	0.074896
"El Dorado"	0.07437
Armageddon	0.0737806
"Cider House"	0.0733797
"Inspector Gadget"	0.0729927
"Varsity Blues"	0.0723566
Tarzan	0.0721181
"Toy Story"	0.0719703
Stigmata	0.0717883
"Ideal Husband"	0.0706362
dogma	0.0705913
thriller	0.0705286
"DEEP BLUE SEA"	0.0704434
"Been Kissed"	0.0704298
"Meet Joe Black"	0.0702624
"Animal House"	0.0696393
"True Thing"	0.0695826
"Forrest Gump"	0.0691758
"Phantom Menace"	0.0688173
"best man"	0.0686518
U-@@@	0.068351
Schindler	0.0682731
Jawbreaker	0.0682296
Braveheart	0.0681804
"feature film"	0.0680082
"Impossible @"	0.067491
"Deep Impact"	0.0674586
"Mighty Joe Young"	0.0670567
"Titan A.E."	0.0669975
"Everybody Loves Raymond"	0.0667938
"Cradle Will Rock"	0.0667376
"Kevin Spacey"	0.0664521
ROUNDERS	0.0661267
Mulan	0.0658164
comedy	0.0657155
psycho	0.0647749
entrapment	0.0647355
"Usual Suspects"	0.063838
Godzilla	0.062562
"Hollow Man"	0.062053
"Mod Squad"	0.0620466
McKellen	0.0613428
"Opium War"	0.0612863
"High Art"	0.0611141
"Primary Colors"	0.0610012
cabaret	0.0609071
Screenplay	0.0601285
"Star Wars"	0.0600476
LIMEY	0.0599997
"wonder boy"	0.059818
"Gwyneth Paltrow"	0.0596645
Waterboy	0.0592446
"South Park"	0.0591427
Tootsie	0.0591238
"Hilary Swank"	0.058953
affliction	0.0585323
"Ally McBeal"	0.0583558
"love letter"	0.0581372
satire	0.0580416
Irene	0.0579064
Girlfight	0.0578392
musical	0.05748
dick	0.0571566
"Lion King"	0.0571461
"Pretty Woman"	0.0570569
"Iceman Cometh"	0.0568894
"Austin Powers"	0.0568571
"Scream @"	0.0566578
"pitch black"	0.0565834
rainmaker	0.0565326
"Roberto Benigni"	0.0562877
documentary	0.0562492
"Sleepy Hollow"	0.0562438
"Side Man"	0.0562385
beloved	0.0560775
Carrey	0.0559474
epic	0.05575
"Tom Hanks"	0.0554603
Benigni	0.0552632
Lolita	0.0552001
"Natural Born Killers"	0.0546882
Paltrow	0.0546799
Hoosier	0.0544971
Pecker	0.0544731
"Lake Placid"	0.0539737
"Tom Cruise"	0.0536701
sequel	0.0536582
tingle	0.0534868
adaptation	0.0533624
"Velvet Goldmine"	0.0530986
"Meryl Streep"	0.0530661
Futurama	0.0525644
sitcom	0.0525446
"Cosby Show"	0.0523896
Hilary	0.0523749
"Night Fever"	0.0523025
"Russell Crowe"	0.0519986
"Sports Night"	0.0518427
"Citizen Kane"	0.0517117
tango	0.0517073
"Home Improvement"	0.0515975
payback	0.0511601
"American Psycho"	0.0511283
"Princess Mononoke"	0.0510532
pi	0.0508368
swinger	0.0508152
"motion picture"	0.0507659
"Carlos Santana"	0.0505109
"Will &AMP; Grace"	0.0501221
actress	0.0496617
remake	0.0493302
"Steven Spielberg"	0.0490998
"soap opera"	0.0488298
"Jurassic Park"	0.0487679
"Waking Ned Devine"	0.047861
Elizabeth	0.0478331
insider	0.0477706
prequel	0.0474651
"West Wing"	0.0471618
"Sidney Poitier"	0.047067
rocky	0.0470116
Titus	0.0467827
Buffy	0.0465508
Frankenstein	0.0461441
Trainspotting	0.0460149
"Coyote Ugly"	0.0458667
"Spin City"	0.045756
DreamWorks	0.0453391
soprano	0.0452693
wonderland	0.045205
miniseries	0.0451103
Seinfeld	0.0449943
Footloose	0.0448415
"Star Trek"	0.0448268
script	0.0447533
"Denzel Washington"	0.0446985
ringmaster	0.0444722
blockbuster	0.0442418
))
("American Cancer Society" (desc 6155.49) (sims
"American Heart Association"	0.188085
"American Association of Health Plans"	0.177329
"American Lung Association"	0.174687
"American Red Cross"	0.156841
"American Academy of Pediatrics"	0.148092
"National Highway Traffic Safety Administration"	0.147348
CDC	0.146502
"American Medical Association"	0.138941
"National Cancer Institute"	0.130872
"Health Department"	0.128624
"National Federation"	0.123465
"Sierra Club"	0.12327
"National Education Association"	0.119884
"World Health Organization"	0.118676
"American Association of Retired Persons"	0.116971
UNAIDS	0.115571
"Education Department"	0.113465
"National Institutes of Health"	0.110953
Dataquest	0.110379
"American Jewish Committee"	0.10662
"U.S. Census Bureau"	0.103492
"Urban Institute"	0.102975
"Families USA"	0.102643
"College Board"	0.10095
Forrester	0.100209
"Harvard School of Public Health"	0.0981794
"U.S. Chamber of Commerce"	0.0979256
"Institute of Medicine"	0.0977078
"Texas Department of Health"	0.0975444
"National Association of Manufacturers"	0.0971985
"National Academy of Sciences"	0.0968758
"Common Cause"	0.0963958
AARP	0.0963325
"Department of Education"	0.0957807
"National Association"	0.0957678
"National Research Council"	0.0956622
"American Petroleum Institute"	0.0952425
NCI	0.0934988
"Department of Health and Human Services"	0.0932612
Oxfam	0.092786
"League of Women Voters"	0.0925441
"Salvation Army"	0.0919624
"U.S. Agriculture Department"	0.0918818
AAA	0.0917846
"Kaiser Family Foundation"	0.0915696
UNICEF	0.0911511
"American Psychological Association"	0.0904407
"Department of Health"	0.0902327
"Amnesty International"	0.0897455
"Department of Agriculture"	0.0895561
"Census Bureau"	0.0895138
"Health Ministry"	0.0894466
"Urban League"	0.0888656
"National Alliance"	0.088641
"World Wildlife Fund"	0.0883778
"Motion Picture Association of America"	0.0882195
"Office of Management and Budget"	0.0876916
"National Park Service"	0.0871941
"Department of Transportation"	0.0869589
"Air Transport Association"	0.0861594
"U.S. Geological Survey"	0.0856922
EPA	0.0853299
"Handgun Control"	0.0848946
HKTA	0.0847432
"Treasury Department"	0.0842375
"Securities Industry Association"	0.0842266
"Handgun Control Inc."	0.0839403
AFL-CIO	0.0837865
"Anti-Defamation League"	0.0834877
"National Audubon Society"	0.0834161
"U.S. Environmental Protection Agency"	0.0834134
IDC	0.0830075
"Federal Emergency Management Agency"	0.0829301
"Department of Labor"	0.0828184
"Planned Parenthood"	0.0822425
"Gartner Group"	0.0818833
"Texas Department of Public Safety"	0.0818046
Gartner	0.0816196
"National Science Foundation"	0.0813785
"Air Line Pilots Association"	0.0807272
"Federal Aviation Administration"	0.0799636
"Mastercard International"	0.0798235
"Congressional Budget Office"	0.0794765
"Red Cross"	0.0794452
"Department of Public Health"	0.0789384
SSB	0.0788908
"Human Rights Campaign"	0.0787157
"Environmental Protection Agency"	0.0786176
"American Civil Liberties Union"	0.0786028
"Humane Society"	0.078347
"chamber of commerce"	0.0783389
"Nielsen Media Research"	0.0773785
"General Accounting Office"	0.0772843
"Airport Authority"	0.0772785
"Hong Kong Tourist Association"	0.0768552
"American Bankers Association"	0.0767639
"American Federation"	0.0767455
"Screen Actors Guild"	0.0766708
NAACP	0.0765997
"Energy Department"	0.076352
"Economic Planning Agency"	0.0762508
USDA	0.0761407
"National Organization"	0.07589
"U.S. Immigration and Naturalization Service"	0.0755506
"Con Edison"	0.075314
PricewaterhouseCoopers	0.075205
"Department of Environmental Protection"	0.0750589
"Association of Flight Attendants"	0.0746494
"U.S. Commerce Department"	0.0744972
ISTAT	0.0744783
"Disease Control"	0.0743657
"National Republican Congressional Committee"	0.0742351
ACLU	0.0741796
"CBS Sports"	0.0740267
"Department of Public Safety"	0.073922
"International Data Corp."	0.0737639
"National Urban League"	0.0736157
"World Bank"	0.0735298
"National Council of La Raza"	0.0734279
"Congressional Research Service"	0.0732258
"World Food Program"	0.0732181
"Labor Ministry"	0.0731502
"Family Research Council"	0.0730751
"Bank of Israel"	0.0730654
"Transportation Department"	0.0724694
Wyeth-Ayerst	0.0719507
"Park Service"	0.0718046
"Jupiter Communications"	0.0713966
"Forrester Research"	0.0712463
HKMA	0.0709697
"U.N. World Food Program"	0.070753
"United Nations Children's Fund"	0.0705607
"National Marine Fisheries Service"	0.0700997
"American Bar Association"	0.0700589
ama	0.0700476
"World Jewish Congress"	0.0700109
"Department of Justice"	0.0699082
"National Rifle Association"	0.0697334
"Agriculture Ministry"	0.0695349
"Department of Corrections"	0.0694904
"Health and Human Services Department"	0.069094
Greenpeace	0.068873
"Social Security Administration"	0.0684557
"Conference Board"	0.0683264
"Olympic Council of Asia"	0.0683052
CBO	0.0682911
"State Statistical Bureau"	0.0681536
SDPC	0.068153
"National Association of Broadcasters"	0.0675773
"National Transportation Safety Board"	0.0674592
"National Bureau of Statistics"	0.0671518
"Cuban American National Foundation"	0.0670546
"Better Business Bureau"	0.0670465
"Bank for International Settlements"	0.0667903
"Heritage Foundation"	0.066492
"Audubon Society"	0.0664861
"Central Intelligence Agency"	0.0664543
"Asian Development Bank"	0.0662144
"Yankee Group"	0.0661402
"Wine Institute"	0.0659515
"Gap Inc."	0.0658802
"Forest Service"	0.0656724
"Ministry of Health"	0.065589
"Department of Environmental Conservation"	0.0652919
"Transparency International"	0.0651289
"Commerce Department"	0.0651146
"Human Rights Watch"	0.0651116
"Center for Responsive Politics"	0.0642033
"World Tourism Organization"	0.0641559
"Democratic Congressional Campaign Committee"	0.0640758
"Justice Ministry"	0.0640721
"Federal Reserve Bank of New York"	0.0640503
"Hong Kong Monetary Authority"	0.0640241
"United Nations Population Fund"	0.0638156
"Agriculture Department"	0.0633312
"Department of Commerce"	0.0632226
FAA	0.0631592
"National Council of Churches"	0.0629985
"Home Ministry"	0.0629642
"Blue Cross"	0.0626892
"International Committee"	0.0626337
"European Commission"	0.0624863
UNHCR	0.0624296
"U.S. Fish and Wildlife Service"	0.0624186
GANNETT	0.0622916
FAO	0.0622712
"Consumers Union"	0.0621132
"Labor Department"	0.0619636
NTSB	0.0619542
"International Labor Organization"	0.0618764
"Carter Center"	0.0616543
TDC	0.0616486
PBOC	0.0614787
CPSC	0.0613884
"Bureau of Labor Statistics"	0.0613168
"Food and Agriculture Organization"	0.0612643
"American Express"	0.06104
"Health Care Financing Administration"	0.0609552
"Freedom Forum"	0.0608454
"Nature Conservancy"	0.060804
))
("American Century" (desc 2690.39) (sims
Stroganoff	0.0824217
"Starr Report"	0.0811148
Janus	0.0717362
DMA	0.0711385
All-Tech	0.0707998
"Satanic Verses"	0.070552
Soros	0.070379
"T. Rowe Price"	0.0690603
SBA	0.06902
fidelity	0.067868
OPIC	0.0653974
TDC	0.0643505
MBNA	0.0639448
DEP	0.0637529
UNRWA	0.0635546
"Science City"	0.0628303
"Perfect Storm"	0.0619903
Putnam	0.0619488
SETI	0.0615996
Euroland	0.0606372
"Microsoft Word"	0.0606118
"Charles Schwab"	0.0600835
BIA	0.0596519
"First Union"	0.0592508
"Ask Jeeves"	0.0591217
NASD	0.0590413
UTC	0.0590005
Equifax	0.0588703
Getty	0.0586365
Eames	0.0586229
Rothschild	0.0578641
Kimbell	0.0576929
Starwood	0.0575505
vanguard	0.0569078
CMGI	0.0568647
Dreyfus	0.0565452
BLM	0.0565373
"William Morrow"	0.0565143
Mellon	0.0556997
ATC	0.0554516
"L.L Bean"	0.0551168
Lilco	0.0550702
MFA	0.0546657
"van Gogh"	0.0542976
IAI	0.0540447
"W.W Norton"	0.0537794
"Qwest Communications"	0.05355
CBK	0.0534507
EBRD	0.0532885
BASF	0.0531706
Whitney	0.0528949
KPFA	0.0528602
"Anne Frank"	0.0528329
Overnite	0.0526028
RealPlayer	0.0522421
"Smithsonian Institution"	0.0521324
"Chase Manhattan Bank"	0.0519538
"Time Inc."	0.0516684
"Sprint PCS"	0.0514056
AIG	0.0513752
Moma	0.0513277
FEMA	0.0513076
Omega	0.0512363
"Reed Elsevier"	0.0511209
Quokka	0.050782
novella	0.0504154
Broderbund	0.0503678
"Fidelity Investments"	0.0501924
Schwab	0.049181
ADP	0.049157
"Real IRA"	0.0490088
"Hongkong Telecom"	0.0489513
"Southwestern Bell"	0.0488824
CCE	0.0488823
"Red Violin"	0.0488268
Tables	0.0488002
ten-day	0.0486886
Corcoran	0.0486034
NationsBank	0.0485082
Cigna	0.0482699
Peapod	0.0482621
"Y&AMP;R"	0.0480123
Oppenheimer	0.0479338
ADB	0.047892
"Social Security Administration"	0.0477787
"France Telecom"	0.047773
"Free Press"	0.0477072
"Jackson Pollock"	0.0476351
MACROMEDIA	0.0476078
"test-tube baby"	0.0474883
UPI	0.0474632
"Georgia Power"	0.0474565
Sunbeam	0.0473897
Citigroup	0.0472976
"Turner Broadcasting"	0.0470209
Riady	0.0470166
"Humane Society"	0.0467157
Hancock	0.0464638
"best seller"	0.0464583
Sumitomo	0.046393
ZDTV	0.0463691
Meriwether	0.046357
BofA	0.0463372
CalPERS	0.046318
Bessette	0.0462546
Kodak	0.0461842
"State Farm"	0.0461658
"Runaway Bride"	0.0461537
RBA	0.0458579
"Oxford University Press"	0.0458499
Genzyme	0.0458406
"Chronicle Books"	0.0457848
"GE Capital"	0.0457482
"Golden Age"	0.0457403
"Brooklyn Museum"	0.0456956
Biggs	0.0456132
Litton	0.0455583
"US West"	0.0455333
Conoco	0.0454656
Magellan	0.045332
"Park Service"	0.0452996
Ingalls	0.045148
"Wells Fargo"	0.0451451
"Conde Nast"	0.0451103
TRW	0.0451081
SLOC	0.045044
"United Airlines"	0.0450325
TELLABS	0.0450053
Monet	0.0449365
MF	0.0448008
"Bankers Trust"	0.0447714
Rashomon	0.0446835
Macworld	0.0446181
LAUSD	0.0445062
"Charles Schwab Corp."	0.0444445
"oil painting"	0.0444354
Federated	0.0444132
"CBS Sports"	0.0443976
Allstate	0.0443695
Ahold	0.044357
Citibank	0.0442448
"Bank of Israel"	0.0442138
"Housing Authority"	0.0441403
Livent	0.0440716
women.com	0.0440693
REIT	0.0440442
IDT	0.0440441
CCA	0.0439649
SNCF	0.043899
"Andersen Consulting"	0.0438596
BP	0.0438302
"Tom Brokaw"	0.0437937
Merrill	0.0437547
Corning	0.0437464
"Coca-Cola Enterprises"	0.0436001
FDIC	0.0435382
"Air Canada"	0.0435239
"Star Alliance"	0.0434153
Hambrecht	0.0433365
Koran	0.0431928
POLK	0.0430472
"Hearst Corporation"	0.043031
"Vincent van Gogh"	0.0428893
"Office @@"	0.0428729
"animal kingdom"	0.0428632
Daimler	0.0428496
"Metropolitan Museum"	0.0428328
"Pac Bell"	0.0428306
"State Street"	0.0428262
"Fannie Mae"	0.042702
NRC	0.0426848
Safeway	0.0426317
Informix	0.042581
Scientific-Atlanta	0.0425172
"Crystal Palace"	0.0424269
"R.J Reynolds"	0.0423542
Milstein	0.0422947
"William Morris"	0.0422397
Mendez	0.0421678
ENTERGY	0.042112
"Beth Israel"	0.0420859
Viacom	0.0420198
"Culture Ministry"	0.042015
paperback	0.0419596
Alltel	0.0419572
"employment contract"	0.0419364
ABSA	0.0418185
"Consolidated Edison"	0.0418153
NORTHROP	0.0417868
Hasbro	0.0416991
Omnipoint	0.0415552
"Home Run Derby"	0.0414994
Guggenheim	0.0414793
"True North"	0.0414734
SCI	0.0414575
Emery	0.0414573
"Pacific Bell"	0.0413625
"Credit Suisse"	0.0413477
Pemex	0.0412743
DFG	0.0411937
))
("American Chanda Rubin" (desc 923.2) (sims
"South African Amanda Coetzer"	0.457335
"American Todd Martin"	0.416695
"Australian Mark Philippoussis"	0.370471
"Francisco Clavet"	0.339921
"Mariano Puerta"	0.323184
"American Lindsay Davenport"	0.302335
"Anke Huber"	0.298766
"Briton Greg Rusedski"	0.292088
"Arantxa Sanchez-Vicario"	0.289957
"Russian Yevgeny Kafelnikov"	0.289296
"Felix Mantilla"	0.28659
"Irina Spirlea"	0.273602
"Mary Pierce"	0.272882
"Patty Schnyder"	0.270678
"Magnus Norman"	0.269546
"Conchita Martinez"	0.268694
"Dominique Van Roost"	0.267078
"Thomas Enqvist"	0.265957
"Amanda Coetzer"	0.263114
"Ruxandra Dragomir"	0.259324
"American Michael Chang"	0.255968
"Nathalie Tauziat"	0.255966
"Ai Sugiyama"	0.255545
"Richard Fromberg"	0.254648
"Fernando Meligeni"	0.250753
"Natasha Zvereva"	0.249321
"Iva Majoli"	0.248378
"Jason Stoltenberg"	0.245532
"Sandrine Testud"	0.24452
"Arantxa Sanchez Vicario"	0.243179
"Tommy Haas"	0.241566
"Karol Kucera"	0.240079
"Alberto Berasategui"	0.239092
"Chanda Rubin"	0.237463
"Nicolas Kiefer"	0.237071
"Petr Korda"	0.235911
"Dominik Hrbaty"	0.235804
"Thomas Muster"	0.227997
"Richard Krajicek"	0.226075
"Yevgeny Kafelnikov"	0.225708
"Alex Corretja"	0.22529
Stoltenberg	0.223502
"Gustavo Kuerten"	0.222928
"Lisa Raymond"	0.222395
"Byron Black"	0.221261
"Albert Costa"	0.221107
"Julie Halard-Decugis"	0.220786
Coetzer	0.22001
"David Prinosil"	0.219495
"Cedric Pioline"	0.217102
"Marc Rosset"	0.215561
"Paul Haarhuis"	0.214408
"Jonas Bjorkman"	0.214167
"Thomas Johansson"	0.214098
"Andrei Medvedev"	0.213478
"Carlos Moya"	0.21329
"Jana Novotna"	0.211818
"Judith Wiesner"	0.210263
"Tim Henman"	0.210177
"Wayne Ferreira"	0.210051
"Kenneth Carlsen"	0.209823
"Goran Ivanisevic"	0.209549
"Anne-Gaelle Sidot"	0.208548
Berasategui	0.208046
"Venus Williams"	0.207757
"Serena Williams"	0.206506
"Barbara Schett"	0.206335
"American Andre Agassi"	0.206114
"Greg Rusedski"	0.205922
"Brenda Schultz-McCarthy"	0.204705
"Magdalena Maleeva"	0.204147
Puerta	0.204105
"Elena Likhovtseva"	0.203237
"Michael Chang"	0.202804
"Barbara Paulus"	0.200442
"Scott Draper"	0.199544
Ulihrach	0.199333
"Mark Philippoussis"	0.197482
"Sebastien Grosjean"	0.196897
Siemerink	0.196761
"Patrick Rafter"	0.196484
"Monica Seles"	0.19575
"Carlos Costa"	0.195564
Clavet	0.195342
"Amelie Mauresmo"	0.194607
Rosset	0.194004
"Marcelo Rios"	0.192523
Corretja	0.19167
Henman	0.191368
"Jan-Michael Gambill"	0.19104
Mantilla	0.190802
"Leander Paes"	0.190637
"Hernan Gumy"	0.18902
"Sarah Pitkowski"	0.188937
"Marat Safin"	0.188745
"Todd Martin"	0.188713
"Gianluca Pozzi"	0.187387
"Lindsay Davenport"	0.186578
Kroslak	0.185731
"Albert Portas"	0.183725
Enqvist	0.182448
"Karim Alami"	0.182424
"Arnaud Clement"	0.182159
"Brett Steven"	0.181619
Susanti	0.181034
"Wayne Black"	0.180899
"three match points"	0.180482
Kafelnikov	0.179984
"Silvia Farina"	0.179792
Jansher	0.179611
Kuerten	0.179242
"Naoko Sawamatsu"	0.178286
"Galo Blanco"	0.177982
"Van Roost"	0.176922
"Sergi Bruguera"	0.176784
"Magnus Gustafsson"	0.1754
"Filip Dewulf"	0.172707
Dragomir	0.172403
"Gong Zhichao"	0.172037
"Daniel Nestor"	0.171882
Bruguera	0.170966
Sanchez-Vicario	0.170855
"Alberto Costa"	0.169823
"Jennifer Capriati"	0.16949
Testud	0.169394
"Boris Becker"	0.168973
"Heryanto Arbi"	0.16889
rios	0.168718
"Hicham Arazi"	0.168597
Majoli	0.168202
"Nathalie Dechy"	0.168053
"Marcelo Filippini"	0.168024
"Nicolas Lapentti"	0.167914
Ferreira	0.167801
"Sabine Appelmans"	0.167568
"Jim Courier"	0.167274
"Lleyton Hewitt"	0.167134
Cruzeiro	0.166833
Dosedel	0.166491
"Fabrice Santoro"	0.165848
Seles	0.165794
Krajicek	0.165603
Kournikova	0.164786
"Andrea Gaudenzi"	0.164248
"Andre Agassi"	0.163558
"Ye Zhaoying"	0.163415
"Tamarine Tanasugarn"	0.163344
"Mark Woodforde"	0.162451
Ivanisevic	0.162232
Likhovtseva	0.162079
Moya	0.161619
"Stefan Edberg"	0.161463
Tauziat	0.161351
"Peter Gade Christensen"	0.160162
"Steffi Graf"	0.159516
Schett	0.159091
Tarango	0.159089
Edberg	0.158063
"Mary Joe Fernandez"	0.157932
Hawkeyes	0.157689
Frenchwoman	0.157665
Nicol	0.157335
Safin	0.157196
"Javier Sanchez"	0.15655
Kiefer	0.156105
"Fung Permadi"	0.155811
"Kimiko Date"	0.1553
"Tar Heels"	0.154726
"Chris Woodruff"	0.153884
"Pat Rafter"	0.153414
Bjorkman	0.152909
"Christian Ruud"	0.151271
"Miriam Oremans"	0.151147
Palmeiras	0.150703
"Todd Woodbridge"	0.149871
"American Pete Sampras"	0.149358
Novotna	0.148633
"Ong Ewe Hock"	0.147134
"Magnus Larsson"	0.146715
"Joannette Kruger"	0.146439
Kucera	0.146169
"Juan Antonio Marin"	0.146132
Halard-Decugis	0.145485
"Jan-Ove Waldner"	0.14533
"MaliVai Washington"	0.144731
"Nicolas Escude"	0.143907
"Guillaume Raoux"	0.143642
"Yayuk Basuki"	0.143209
"Martina Hingis"	0.142723
"Sargis Sargsian"	0.142247
Lindland	0.142228
Zvereva	0.142178
Pioline	0.142011
"Sanchez Vicario"	0.141929
Korda	0.139991
"Davide Sanguinetti"	0.139539
"Slava Dosedel"	0.13932
"Sjeng Schalken"	0.138343
Gustafsson	0.138236
"Marcos Ondruska"	0.137485
Spadea	0.137313
"Elena Dementieva"	0.137124
"Amy Frazier"	0.136755
"Andrei Pavel"	0.136487
Shenhua	0.136402
"Michael Stich"	0.13636
Gremio	0.136163
"Kong Linghui"	0.135924
"Anna Kournikova"	0.135734
tiebreak	0.135651
"Steve Campbell"	0.13505
"Miami Fusion"	0.134851
Mauresmo	0.13485
"Phenix City"	0.134569
Huber	0.134353
Raoux	0.134123
Capriati	0.13349
Lucic	0.133154
"Southwest Missouri State"	0.132998
Larsson	0.132725
"break of serve"	0.132552
Haarhuis	0.132374
"Arnaud Di Pasquale"	0.132318
"Peter Rasmussen"	0.132187
Hrbaty	0.131916
Nacional	0.130644
Agassi	0.13043
Kashima	0.129921
Lareau	0.12971
"Wang Liqin"	0.129178
"Bohdan Ulihrach"	0.128973
Schalken	0.128963
"Calgary Flames"	0.128678
"Martin Damm"	0.128249
Spirlea	0.1279
"two match points"	0.127588
"Arnaud Boetsch"	0.127189
"Vincent Spadea"	0.127045
"Camilla Martin"	0.125448
Kremer	0.125332
Waldner	0.125084
Davenport	0.124682
"Ramon Delgado"	0.124651
"Jerome Golmard"	0.124037
"Wang Chen"	0.123709
Sidot	0.123443
"Alex O'Brien"	0.123267
Hendrawan	0.122949
"Li Ju"	0.122297
"Tatiana Panova"	0.12226
"Chinese Taipei"	0.121869
Rusedski	0.121433
Wilander	0.12133
"Rodney Eyles"	0.12079
Hingis	0.12024
"Richey Reneberg"	0.120033
"Mark Knowles"	0.119963
"Jeff Tarango"	0.119333
"Younes El Aynaoui"	0.118953
Spaniard	0.118844
Woodbridge	0.118239
"Mikael Tillstrom"	0.117369
"Dalian Wanda"	0.117356
Gambill	0.117341
"Guangdong Hongyuan"	0.117299
"Renzo Furlan"	0.11675
"Pete Sampras"	0.116213
Swardt	0.116199
"Vladimir Samsonov"	0.115655
"Nicole Pratt"	0.115398
"Rainer Schuttler"	0.115247
Santoro	0.115083
"Peter Nicol"	0.114393
Salernitana	0.114226
"Los Angeles Sparks"	0.114071
Wolfsburg	0.113683
"Anne Kremer"	0.11359
Sugiyama	0.113436
Gimelstob	0.113036
"Schalke @@"	0.112994
Damm	0.112874
"Justin Gimelstob"	0.112825
Woodruff	0.112646
Woodforde	0.112074
"Mia Audina"	0.111975
Lapentti	0.111655
"Buster Douglas"	0.1113
"Buffalo Sabres"	0.111022
Philippoussis	0.110683
"Jansher Khan"	0.110638
"Jonathan Stark"	0.110206
Swede	0.109424
"Jelena Dokic"	0.109313
"River Plate"	0.109182
Pavel	0.108891
"Chicago Fire"	0.107257
"Magui Serna"	0.107216
Chang	0.107213
Rafter	0.107159
Grosjean	0.106826
"Florencia Labat"	0.106356
"Liu Yong"	0.105545
"Carolina Hurricanes"	0.104812
Vacek	0.104725
"Detroit Red Wings"	0.104646
Kong	0.104411
"Jiri Novak"	0.104291
"Liu Guoliang"	0.104072
Purdue	0.103993
"Mariano Zabaleta"	0.103767
Brondby	0.103626
"Henrieta Nagyova"	0.103476
"Toronto Maple Leafs"	0.103067
Farina	0.102747
Gaudenzi	0.102169
Medvedev	0.102129
"Jean-Philippe Gatien"	0.101983
"Roger Federer"	0.101751
"Ivan Lendl"	0.101599
Obilic	0.100145
Boilermakers	0.100003
))
("American Civil Liberties Union" (desc 8250.71) (sims
ACLU	0.312339
"Electronic Privacy Information Center"	0.205715
"Anti-Defamation League"	0.194563
"Legal Aid Society"	0.194067
"Planned Parenthood"	0.186892
"Center for Democracy"	0.182941
NAACP	0.182544
"Natural Resources Defense Council"	0.181181
"Human Rights Watch"	0.179644
"Consumers Union"	0.178675
"Sierra Club"	0.176435
"Recording Industry Association of America"	0.16555
"American Association of Retired Persons"	0.164871
"New York Civil Liberties Union"	0.161996
"National Organization"	0.161831
"American Jewish Committee"	0.159374
"Amnesty International"	0.156562
"Federal Trade Commission"	0.156523
"Violence Policy Center"	0.154061
EEOC	0.153269
"National Association"	0.152118
"Judicial Watch"	0.150525
"American Bar Association"	0.148935
"Southeastern Legal Foundation"	0.148142
"Christian Coalition"	0.14242
"American Lung Association"	0.141892
"Common Cause"	0.139917
"Urban League"	0.136308
"National Association of Manufacturers"	0.136077
"U.S. Chamber of Commerce"	0.130013
"World Jewish Congress"	0.129222
"American Bankers Association"	0.129195
"Public Citizen"	0.127565
"Rainbow/PUSH Coalition"	0.127194
Greenpeace	0.124848
"National Council of Churches"	0.124121
"Family Research Council"	0.122469
"Audubon Society"	0.119411
Harris-Lewis	0.118624
"Justice Department"	0.118045
AARP	0.117862
"Human Rights Campaign"	0.117837
"Southern Poverty Law Center"	0.117417
"right to life"	0.116427
FTC	0.116179
"Air Line Pilots Association"	0.115887
"National Federation"	0.115334
"Paula Corbin Jones"	0.11498
AFL-CIO	0.114511
"Paula Jones"	0.114146
"Humane Society"	0.113023
"Environmental Defense Fund"	0.112378
"Handgun Control"	0.11169
"Log Cabin Republicans"	0.110327
"Electronic Frontier Foundation"	0.110247
"National Council of La Raza"	0.110134
"Air Transport Association"	0.109473
"National Education Association"	0.109038
"National Labor Relations Board"	0.108627
"National Abortion and Reproductive Rights Action League"	0.106944
Eappens	0.105507
"Cuban American National Foundation"	0.105245
"American Federation"	0.104262
"Securities and Exchange Commission"	0.103932
"League of Women Voters"	0.103311
"Motion Picture Association of America"	0.10319
"National Rifle Association"	0.102988
"Families USA"	0.102861
"National Urban League"	0.102669
plaintiff	0.10189
CWA	0.10055
"Consumer Federation"	0.0998115
"National Audubon Society"	0.0996613
environmentalist	0.0993263
"Association of Flight Attendants"	0.0987907
SEC	0.0980477
"Players Association"	0.0980161
"Environmental Protection Agency"	0.0979872
"Immigration and Naturalization Service"	0.0960733
"American Medical Association"	0.0951923
"Heritage Foundation"	0.0930763
"Federal Bureau of Investigation"	0.0929982
"Communications Workers of America"	0.0926012
"Transparency International"	0.0921037
"Equal Employment Opportunity Commission"	0.0914393
"American Red Cross"	0.0911339
guild	0.091114
"labor union"	0.0904799
"Department of Justice"	0.0896234
"Better Business Bureau"	0.0883258
"Center for Science"	0.0877885
"Union of Concerned Scientists"	0.0861942
"United Steelworkers"	0.0859806
"World Wildlife Fund"	0.0859447
"Center for Responsive Politics"	0.0852186
"International Rescue Committee"	0.0846199
"American Academy of Pediatrics"	0.0842618
"Department of Labor"	0.0838568
"National Alliance"	0.0829272
RIAA	0.0826147
"Urban Institute"	0.0825137
"United Auto Workers"	0.0823313
"American Petroleum Institute"	0.0815104
"Federal Emergency Management Agency"	0.0814625
UNICEF	0.0810868
"NFL Players Association"	0.0809016
NRA	0.0806385
"U.S. Immigration and Naturalization Service"	0.0806377
"National Academy of Sciences"	0.0798741
"Drug Enforcement Administration"	0.0798132
"public defender"	0.079695
"Alcoholics Anonymous"	0.0795673
"school district"	0.0794086
"machinists union"	0.0787624
"Branch Davidians"	0.0786496
"American Cancer Society"	0.0786028
"League of Conservation Voters"	0.0780582
"Department of Education"	0.0778971
"American Legion"	0.0774971
"Treasury Department"	0.0772031
"Simon Wiesenthal Center"	0.0767679
"John Cornyn"	0.0765622
"National Transportation Safety Board"	0.0762977
"Department of Transportation"	0.0757658
"Federal Election Commission"	0.0757522
"National Republican Congressional Committee"	0.0757101
Cayugas	0.075652
"trade association"	0.0751365
"Department of Housing and Urban Development"	0.0750145
Davidians	0.0747989
"Red Cross"	0.0743204
"Salt Lake Organizing Committee"	0.0741666
"U.N. World Food Program"	0.0741102
Interpol	0.0739547
"New York Times Co."	0.0738501
"U.S. Soccer Federation"	0.0738348
"Handgun Control Inc."	0.0736833
"United Nations Children's Fund"	0.0735828
"Department of Health and Human Services"	0.0735139
"Center on Budget"	0.0731568
"International Federation"	0.0730433
"Congressional Black Caucus"	0.0729442
INS	0.0726919
Cornyn	0.0723032
"Department of Corrections"	0.0722108
All-Tech	0.0720899
USAID	0.0718787
Jewell	0.0717387
Lockyer	0.0717311
"United Way"	0.0714068
"Board of Elections"	0.0711365
"U.S. Environmental Protection Agency"	0.0709013
"Central Bureau of Investigation"	0.0708842
"Philip Morris"	0.070542
"National Conference"	0.0703616
"chamber of commerce"	0.0701346
"Hearst Corp."	0.0698934
"American Psychological Association"	0.0697269
"Koch Industries"	0.0696665
"Wine Institute"	0.0694705
PTA	0.069445
EPA	0.0693705
"Democratic Congressional Campaign Committee"	0.0692738
"U.S. Golf Association"	0.0692337
"World Health Organization"	0.0690739
"International Red Cross"	0.0685364
Oneidas	0.0685057
"board of education"	0.068437
ADL	0.0682256
"National Park Service"	0.0680448
counterterrorism	0.0680425
Klan	0.0677471
"Democratic Leadership Council"	0.0674346
"school board"	0.0674215
"World Food Program"	0.0673631
"Carnegie Endowment"	0.0673381
"U.S. State Department"	0.0672092
"Brown &AMP; Williamson"	0.0670676
"tobacco industry"	0.0667853
"Transportation Department"	0.0666282
"property owner"	0.0666014
"International Brotherhood"	0.0665706
UNFPA	0.066548
"American Association of Health Plans"	0.0665267
"Allied Pilots Association"	0.0663921
"Health Department"	0.066383
"Juan Miguel Gonzalez"	0.0663349
Caddell	0.0662934
"American Heart Association"	0.0662421
"U.S. Olympic Committee"	0.0659986
"Nature Conservancy"	0.0659756
"Department of Environmental Protection"	0.0658173
"Main Events"	0.0656973
ENTREMED	0.0656564
"Fish and Wildlife Service"	0.0655828
regulator	0.0655029
"Bank of America"	0.0653873
"customs service"	0.065305
SCI	0.0650987
Reilly	0.064971
))
("American Dance Festival" (desc 1377.25) (sims
"Lincoln Center Festival"	0.120165
"University of New Hampshire"	0.110058
"Metropolitan Opera House"	0.1085
"Joyce Theater"	0.106654
"Brooklyn Academy of Music"	0.104749
"Dorothy Chandler Pavilion"	0.10074
"Duke University"	0.0974309
"Royal National Theater"	0.0959025
"Alice Tully Hall"	0.0945638
"P.S @@@"	0.0844872
"La Scala"	0.0824964
"Manhattan Theater Club"	0.0791033
"New York State Theater"	0.0721838
"New York City Opera"	0.0693486
"Shrine Auditorium"	0.0671648
"World AIDS Conference"	0.0662111
"Waldorf-Astoria Hotel"	0.0654825
bloodiest	0.0652208
"International AIDS Conference"	0.0640678
"Piedmont Hospital"	0.0624021
rebounders	0.0622773
"Kennedy School"	0.0614288
richest	0.0609455
"Carnegie Hall"	0.0602212
"school of music"	0.0590803
"Museum of Contemporary Art"	0.0567705
"three pitchers"	0.0564321
Kauai	0.0535201
"Grand Ole Opry"	0.0534718
"Wembley Stadium"	0.0527335
"Kennedy Center"	0.0523923
"dramatic event"	0.0522803
raiser	0.0522006
"Miami Arena"	0.0521171
"Avery Fisher Hall"	0.0520646
"Lake Tanganyika"	0.0515473
"Cannes Film Festival"	0.0511413
"Lake Ontario"	0.0507332
"Radio City Music Hall"	0.0502782
"first pitcher"	0.0502583
"Plaza Hotel"	0.0495235
"Harvard College"	0.0495164
"University of Wyoming"	0.0494293
"Wake Forest University"	0.0493438
busiest	0.0489921
Pinehurst	0.0481011
"National Party Congress"	0.0475883
"Peking University"	0.0469026
"Harvard Law School"	0.0467999
"Yale Law School"	0.0464254
"Makerere University"	0.0457878
"U.S. Naval Academy"	0.0456572
"Heritage High School"	0.0456338
"Simon Wiesenthal Center"	0.0456001
bedsheets	0.0455819
"Dead Sea"	0.0453831
"John F. Kennedy Library"	0.0448161
"Sundance Film Festival"	0.0445767
"minority interest"	0.0442689
first-grader	0.0437959
"Lake Michigan"	0.0434358
"Arctic Ocean"	0.0432964
"Ford Escort"	0.043086
second-worst	0.0430436
"Walter Reade Theater"	0.0429894
"Nankai University"	0.0427098
"bank vault"	0.0427071
earliest	0.0426954
"Pinehurst No. @"	0.0422829
"Symphony Hall"	0.042155
"National Autonomous University"	0.0421304
"city university"	0.0419834
"City Opera"	0.0417156
"Soldier Field"	0.0415485
"New York Film Festival"	0.0413243
Waldorf-Astoria	0.0412462
"National Autonomous University of Mexico"	0.0412436
quickest	0.0411707
"Public School @@@"	0.0408719
"blue note"	0.0408516
deadliest	0.0407953
"National Theater"	0.0406025
third-highest	0.040597
"Public School @@"	0.0405733
Oahu	0.0405678
))
("American Dream" (desc 6864.41) (sims
ideal	0.0784033
femininity	0.0748651
Capitalism	0.0707949
goodness	0.0692483
multiculturalism	0.0637642
feminism	0.0630669
greatness	0.0616066
utopia	0.0608315
immortality	0.0606534
fantasy	0.0586955
conservatism	0.0585109
afterlife	0.0580001
myth	0.0565006
"sleight of hand"	0.0560818
fulfillment	0.0559173
"rule of law"	0.0558468
divinity	0.055307
prophecy	0.0552434
adage	0.0551807
counterculture	0.0551678
"life style"	0.0550871
destiny	0.0547541
redemption	0.054716
happiness	0.0544371
nationhood	0.0538655
virtue	0.053296
perfection	0.0524914
civilization	0.0522137
reincarnation	0.0521361
salvation	0.0521246
Americana	0.0520766
Camelot	0.0519524
ingenuity	0.0515709
realpolitik	0.0514845
patriotism	0.0514253
suburbia	0.0510803
lifestyle	0.0509857
manhood	0.0505754
ADP	0.0500719
"First Amendment"	0.0500702
Christianity	0.0500467
heroism	0.0498016
purity	0.0497321
aspiration	0.0495818
equality	0.0493869
philanthropy	0.0491874
Marxism	0.0491812
glamour	0.0491788
"majority rule"	0.0491122
resurrection	0.0490473
"Bible Belt"	0.0488124
heaven	0.0486251
"social contract"	0.0482705
sanctity	0.0480044
"musical theater"	0.0478458
synergy	0.0477718
"way of life"	0.0477693
"abstract expressionism"	0.0471313
Jesus	0.0471182
enlightenment	0.0470808
"real life"	0.0470741
miracle	0.0470281
Liberty	0.0467408
decency	0.046282
excellence	0.0462451
MYSTIQUE	0.0461986
epoch	0.0460622
ethic	0.0456425
humanity	0.0454542
continuity	0.0454493
"Anne Frank"	0.0452158
socialism	0.0450257
"Jesus Christ"	0.0449797
mindset	0.0448584
ideology	0.0448207
morality	0.0447352
"information superhighway"	0.0446624
pragmatism	0.0444234
"Holy Grail"	0.0443869
modernism	0.0443491
vindication	0.0442976
"shell game"	0.0442929
communism	0.0442326
nirvana	0.043956
rebirth	0.0438433
"family business"	0.0438321
diversification	0.043819
courage	0.0436746
"fresh start"	0.0436296
wholeness	0.0434923
conundrum	0.0433516
Christ	0.0432635
"big picture"	0.043247
ghost	0.0431905
parenthood	0.0430779
"technological revolution"	0.0430269
healing	0.0429984
oneself	0.042925
"rock 'n' roll"	0.0429246
Santa	0.0428248
antihero	0.0427169
spirituality	0.0426611
canard	0.0425624
compassion	0.0425534
self-government	0.0423606
"jigsaw puzzle"	0.0423533
gratification	0.042246
witchcraft	0.0422332
"modern world"	0.0421962
Truism	0.0421695
Luck	0.0421517
universality	0.0420846
Convergence	0.0420759
gibberish	0.0420147
paradise	0.0419241
greed	0.0418624
"piece of music"	0.0417199
triangulation	0.0416912
"melting pot"	0.0416559
Rudolph	0.041624
orgasm	0.0415499
supercomputer	0.0414918
"information age"	0.0413671
certainty	0.041362
"economies of scale"	0.0413614
Elvis	0.0412856
elegance	0.0412607
tenacity	0.0412328
mythology	0.0411813
renaissance	0.0410869
dignity	0.0410298
"hanky panky"	0.0408211
"art form"	0.0407088
dilemma	0.0406765
hobby	0.0406628
verity	0.0406272
"counsel law"	0.0404758
"apple pie"	0.0404722
motherhood	0.0404198
nationalism	0.040309
derring-do	0.0401248
sportsmanship	0.0401093
"house of cards"	0.0400653
bipartisanship	0.0400324
))
("American eagle" (desc 3349.73) (sims
Comair	0.151283
USAir	0.13924
Aeromexico	0.138171
"British Airways"	0.132399
"El Al"	0.12922
"Air China"	0.120719
"United Airlines"	0.120081
"Alaska Airlines"	0.118276
Biman	0.115237
JAT	0.11394
"Korean Air"	0.112291
TWA	0.112085
EgyptAir	0.111981
"Northwest Airlines"	0.110798
"Air Canada"	0.108614
"Gulf Air"	0.107993
Lufthansa	0.107701
"US Airways"	0.106858
Aeroflot	0.10614
"Southwest Airlines"	0.105899
"Continental Airlines"	0.104048
"Air France"	0.103821
"Cathay Pacific"	0.102867
"Delta Air Lines"	0.102639
"Trans World Airlines"	0.101628
AIRTRAN	0.100636
Asa	0.097986
"Kenya Airways"	0.0970011
Swissair	0.0962004
Sabena	0.0955958
"America West"	0.0923611
"Japan Airlines"	0.0896779
Qantas	0.0895851
"Delta Airlines"	0.0886063
"Air India"	0.0882706
delta	0.087379
Iberia	0.0868863
"Cathay Pacific Airways"	0.0868298
continental	0.0851208
KLM	0.0834844
"America West Airlines"	0.0809179
"Allied Pilots Association"	0.0784785
"Thai Airways International"	0.0781284
"Singapore Airlines"	0.076452
"China Airlines"	0.0750692
"American Airlines"	0.0738394
turboprop	0.0726092
"China Eastern Airlines"	0.0726053
"Thai Airways"	0.0722428
ValuJet	0.0707835
SAA	0.0693225
"Philippine Airlines"	0.0685976
Fedex	0.0682371
"Pan Am"	0.0682164
"Reno Air"	0.0675691
AN-@@	0.0667458
"Ethiopian Airlines"	0.0661178
"Air Lanka"	0.0659772
Opel	0.0653265
"Indian Airlines"	0.0639815
JetBlue	0.0636038
"blue angel"	0.0633668
"Air France Concorde"	0.0630211
Ansett	0.0630173
SAS	0.0629277
UAL	0.0626278
"Banana Republic"	0.0625369
"Airbus @@@"	0.0625242
"Turkish Airlines"	0.062516
"South African Airways"	0.0624529
Sacagawea	0.06181
C-@@	0.0616676
Garuda	0.0610129
"Eastern Airlines"	0.0594396
"Virgin Atlantic"	0.0590318
Learjet	0.0589112
"Abercrombie &AMP; Fitch"	0.0584712
"Airbus A@@@"	0.0579809
Cathay	0.0579219
Uunet	0.0568027
Dragonair	0.0561436
Mig	0.0559494
TU-@@@	0.0550654
JAL	0.0549845
"Indian Air Force"	0.054271
A-@@@	0.0540639
"Air Line Pilots Association"	0.0540065
Omnipoint	0.0536572
X-@@	0.0535549
"Federal Express"	0.0534616
"Cessna @@@"	0.0533889
Emery	0.0530377
"Old Navy"	0.0527572
C-@@@	0.0526507
Gymboree	0.051234
DC-@@	0.0511361
Concorde	0.0510096
Amtrak	0.0509958
"Delphi Automotive Systems"	0.0509712
"MCI Worldcom Inc."	0.0508939
Prowler	0.050874
Cessna	0.0508663
"AMR Corp."	0.0506952
UAM	0.0492745
Alitalia	0.0488779
Airlines	0.0485992
UTA	0.04834
"China Southern Airlines"	0.0479665
crematorium	0.0478506
A@@@-@@@	0.0476964
APA	0.0475095
"Malaysia Airlines"	0.0474543
SBA	0.0465579
Ba	0.0464857
CompuServe	0.0459939
"Susan B. Anthony"	0.0453851
AMR	0.0447787
MiG-@@	0.0444467
"Wyeth-Ayerst Laboratories"	0.0441721
"U.S. Air Force"	0.0437301
spotter	0.0437299
Trucking	0.0435255
Apache	0.0432774
"Royal Air Force"	0.0432766
Audi	0.0432738
A@@@	0.0431929
"Southwestern Bell"	0.0431517
thunderbolt	0.043023
Inktomi	0.043006
Scientific-Atlanta	0.0427056
emirate	0.0425083
Harley-Davidson	0.0417431
glider	0.041657
"Delta @"	0.0412118
AWACS	0.0411184
"passenger ship"	0.0411049
"Circuit City"	0.0408544
"Sprint PCS"	0.0407862
"Vietnam Airlines"	0.0407811
Priceline	0.0404238
Verizon	0.04032
"GE Capital"	0.0401532
no-frills	0.0401325
))
("American Enterprise Institute" (desc 2962.46) (sims
"Brookings Institution"	0.385078
"Heritage Foundation"	0.374478
"Cato Institute"	0.37024
"Center for Strategic"	0.363889
"Urban Institute"	0.359749
"Carnegie Endowment"	0.326002
"RAND Corp."	0.274486
"Council on Foreign Relations"	0.262126
"Violence Policy Center"	0.200862
"Chinese Academy of Social Sciences"	0.197771
"Electronic Privacy Information Center"	0.191531
"Natural Resources Defense Council"	0.184905
"NationsBanc Montgomery Securities"	0.16665
"Center for Democracy"	0.165105
"Center on Budget"	0.15257
"Family Research Council"	0.143786
"CS First Boston"	0.134446
"Freedom Forum"	0.133933
"Kennedy School of Government"	0.131905
"George Washington University"	0.131225
Commerzbank	0.121836
"think tank"	0.121006
"Center for Responsive Politics"	0.120015
"BancBoston Robertson Stephens"	0.110322
"Prudential Securities"	0.109532
"Union of Concerned Scientists"	0.108946
"Pew Research Center"	0.108593
"ING Barings"	0.107508
"Smith College"	0.107088
"Congressional Research Service"	0.106601
DRI	0.106317
"U.S. Chamber of Commerce"	0.103319
"Consumers Union"	0.10259
"Yankee Group"	0.102145
"Goldman Sachs &AMP; Co."	0.102134
"National Abortion and Reproductive Rights Action League"	0.101298
"Chinese Academy of Sciences"	0.101112
"Warburg Dillon Read"	0.0995592
"Federal Reserve Bank of New York"	0.0981463
"Donaldson, Lufkin &AMP; Jenrette"	0.0973877
Dataquest	0.0971278
"Democratic Leadership Council"	0.0923696
"Gomez Advisors"	0.0906444
PaineWebber	0.0902652
"American University"	0.089298
"Development Research Center"	0.0890093
"Public Citizen"	0.0884842
"London School of Economics"	0.0862572
"Lehman Brothers"	0.0840025
"Southeastern Legal Foundation"	0.0836117
"University of South Carolina"	0.0824588
"Kennedy School"	0.0820558
"Rockefeller University"	0.0817043
"Securities Industry Association"	0.0816654
"Edward Jones"	0.0810585
"University of Chicago"	0.0806804
"Gartner Group"	0.0802422
"Credit Suisse First Boston"	0.0792175
"Chinese Academy of Engineering"	0.079143
"Forrester Research"	0.0791076
"National Conference"	0.0791021
"Catholic University"	0.0790283
"Merrill Lynch &AMP; Co."	0.0782015
"National Association of Manufacturers"	0.0777581
"Conference Board"	0.07705
"Jupiter Communications"	0.0768511
"Investors Service"	0.0767559
Banc	0.0766792
"Kaiser Family Foundation"	0.0761747
"League of Conservation Voters"	0.0759912
"Georgetown University"	0.0754928
"Human Rights Watch"	0.0752397
"University of Rochester"	0.0751889
"Beijing University"	0.0741983
"Wine Institute"	0.073997
"ABN AMRO"	0.0739388
"Auburn University"	0.0738344
"Hambrecht &AMP; Quist"	0.0736805
"Peking University"	0.0732683
"University of Wisconsin"	0.0728816
"World Petroleum Congress"	0.0727572
"National Academy of Sciences"	0.0720472
"Common Cause"	0.0710842
"Paine Webber"	0.0700191
"Judicial Watch"	0.069405
"National Council of La Raza"	0.0686425
"Dana-Farber Cancer Institute"	0.0683068
"University of New Mexico"	0.0680594
"Plaza Hotel"	0.0677611
"Harvard University"	0.0676503
"Florida International University"	0.0675517
"Oxford University"	0.0675196
"Vanderbilt University"	0.0672639
"Electronic Frontier Foundation"	0.067131
"Goldman Sachs"	0.0657691
"Chase Manhattan Bank"	0.0656879
"Morningstar Inc."	0.0653439
"Human Rights Campaign"	0.0651234
"North Carolina State University"	0.0651109
"National Alliance"	0.0648672
"Massachusetts Institute of Technology"	0.0644131
"American Psychological Association"	0.0642141
"National Geographic Society"	0.0641153
"National Press Club"	0.0641053
"Goldman, Sachs &AMP; Co."	0.0637772
"Memorial Sloan-Kettering Cancer Center"	0.0634934
"Families USA"	0.0634275
"Yale Law School"	0.0633447
CNNfn	0.0632129
"University of Zimbabwe"	0.0629626
"Hebrew University"	0.0629262
"Cuban American National Foundation"	0.062876
"Michigan State University"	0.0627843
"Morgan Stanley Dean Witter"	0.062586
"Johns Hopkins University"	0.0623687
"International Data Corp."	0.0621919
"Harvard Law School"	0.0621643
"University of Maryland"	0.0617694
Paribas	0.0616881
"Salomon Smith Barney"	0.0615308
"Stanford University"	0.061354
"California Institute of Technology"	0.0612469
"American Bankers Association"	0.0609343
"Howard University"	0.0609307
"Defense Fund"	0.060603
"Amherst College"	0.0603736
"National Council of Churches"	0.0601682
"University of Toronto"	0.0600554
"PC Data"	0.0595898
"Department of Education"	0.0594906
"Harvard School of Public Health"	0.0593888
"Business Council"	0.0593168
"Wesleyan University"	0.0590404
"Institute of Medicine"	0.0588661
"New York University"	0.0585427
"University of Hong Kong"	0.0584396
"American Petroleum Institute"	0.0578588
"Putnam Investments"	0.0577395
"National Hurricane Center"	0.0575576
"Dartmouth College"	0.0574873
"University of Arkansas"	0.0574629
"American Association of Health Plans"	0.0574049
"Air Transport Association"	0.0572477
"Columbia University"	0.056836
"Robertson Stephens"	0.0565795
"Ohio State University"	0.056565
"George Mason University"	0.0558425
"Handgun Control Inc."	0.0557198
"CBS Sports"	0.0556683
"Emory University"	0.055238
"Iowa State University"	0.0552326
"Brown University"	0.0551145
"University of Virginia"	0.0549737
"National Federation"	0.0547165
"Bear Stearns"	0.0545126
"First Union Corp."	0.0544339
"Smithsonian Institution"	0.0543266
PricewaterhouseCoopers	0.0543159
"National Security Council"	0.0542155
"Tufts University"	0.0538255
"Log Cabin Republicans"	0.0534112
"International Rescue Committee"	0.052906
"Fudan University"	0.0523015
"Royal Bank of Scotland"	0.0521846
"J.P. Morgan &AMP; Co."	0.0521041
"T. Rowe Price"	0.0517554
"Republican Leadership Council"	0.0514571
"Handgun Control"	0.0513097
"Olympic Council of Asia"	0.0512465
"Rice University"	0.0505813
CASS	0.0503643
IDC	0.0503384
"National Zoo"	0.0501044
"Baylor College of Medicine"	0.049911
"Media Lab"	0.0496984
"Carnegie Mellon University"	0.0496484
"Fannie Mae"	0.0495934
"Warner Bros"	0.0492277
"United Liberal Democrats"	0.0490934
Corp.	0.0490142
"Washington University"	0.0489725
"University of Iowa"	0.0487047
"Bank of America"	0.0486549
"Purdue University"	0.0484729
"Harvard Medical School"	0.0482256
"Environmental Defense Fund"	0.0481043
AFL-CIO	0.0478748
"Rutgers University"	0.0477614
"China National Petroleum Corporation"	0.0477574
"Kennedy Center"	0.0475591
"Texas Tech University"	0.0475088
Donaldson	0.0474613
"American Civil Liberties Union"	0.0474373
"Association for Relations Across"	0.0470645
"Brandeis University"	0.0468308
"University of Tennessee"	0.0468004
"Legg Mason"	0.0465572
"American Jewish Committee"	0.0461661
"World Church"	0.0461082
"Council of Guardians"	0.0459979
))
("American Express" (desc 17511.7) (sims
"J.P. Morgan"	0.238389
IBM	0.220021
Citigroup	0.21866
"General Electric"	0.21024
Merck	0.204327
"Dell Computer"	0.197618
"Cisco Systems"	0.191277
"Procter &AMP; Gamble"	0.184087
"Eastman Kodak"	0.179961
Mastercard	0.179597
Hewlett-Packard	0.171515
Intel	0.169421
"Chase Manhattan"	0.16623
Chevron	0.163964
Alcoa	0.163249
"General Motors"	0.163108
"Johnson &AMP; Johnson"	0.159736
Dupont	0.157706
Coca-Cola	0.156665
"Philip Morris"	0.156627
"Sun Microsystems"	0.15611
Xerox	0.151233
"Merrill Lynch"	0.142912
Exxon	0.140234
"United Technologies"	0.140064
"Hewlett Packard"	0.139401
Pfizer	0.137829
"Texas Instruments"	0.137343
Pepsico	0.136159
"Charles Schwab"	0.134735
"Compaq Computer"	0.133397
"Lucent Technologies"	0.130267
"America Online"	0.130111
"Bank of America"	0.129051
"First USA"	0.128657
"Ford Motor"	0.128609
Amazon.com	0.128384
Sears	0.12821
ETrade	0.128177
Microsoft	0.127605
Honeywell	0.127368
Kodak	0.126335
Motorola	0.126001
Dell	0.125946
Caterpillar	0.125799
NIKE	0.124746
Qualcomm	0.121745
oracle	0.121398
MCDONALD's	0.120059
BankAmerica	0.119862
"Chase Manhattan Bank"	0.119641
"JDS Uniphase"	0.119433
Citibank	0.118592
"International Paper"	0.118244
Wal-Mart	0.117972
"Home Depot"	0.117361
Compaq	0.11695
Cisco	0.116032
"Exxon Mobil"	0.115233
WorldCom	0.114426
"Apple Computer"	0.114149
EMC	0.113682
BellSouth	0.113511
"Wells Fargo"	0.111055
"Bell Atlantic"	0.109624
"Time Warner"	0.109585
"Wal-Mart Stores"	0.107573
Sony	0.107189
HSBC	0.106757
"MCI WorldCom"	0.106737
"Morgan Stanley"	0.106651
Texaco	0.105686
Monsanto	0.104714
Yahoo	0.104577
"Deutsche Bank"	0.10431
Colgate-Palmolive	0.103638
Anheuser-Busch	0.103382
"Goldman Sachs"	0.103329
"Bristol-Myers Squibb"	0.102575
Unisys	0.102405
"Eli Lilly"	0.10229
"Delta Air Lines"	0.102082
"Bankers Trust"	0.101188
Gillette	0.10055
Amgen	0.100519
eBay	0.100442
Boeing	0.100215
Lucent	0.0996467
Schwab	0.0995633
Priceline.com	0.0990184
"Sara Lee"	0.0986386
"Intel Corp."	0.0982039
"Morgan Stanley Dean Witter"	0.0972579
"Fidelity Investments"	0.0967312
DaimlerChrysler	0.0966445
"HSBC Holdings"	0.0964047
"J.C. Penney"	0.0962741
"Paine Webber"	0.0959903
UAL	0.0958312
Ge	0.0955752
"British Telecom"	0.095528
"Microsoft Corp."	0.0954111
Bristol-Myers	0.0951092
Halliburton	0.0948372
Ericsson	0.0943223
RealNetworks	0.094091
Disney	0.0940524
ENTREMED	0.0936114
Novell	0.0933455
Inc.	0.0927908
"Fannie Mae"	0.0924897
NationsBank	0.092342
Enron	0.0922128
"Ford Motor Co."	0.0920945
GTE	0.0918798
"News Corp."	0.0917267
Walmart	0.0915734
Checkfree	0.0912051
Pepsi	0.0909592
REVLON	0.0907923
Kmart	0.0906028
Kellogg	0.0903433
AOL	0.0899788
Frito-Lay	0.0889396
"JP Morgan"	0.0882866
Aetna	0.0882124
Mattel	0.0880228
HP	0.0874966
"BP Amoco"	0.0874216
eToys	0.0873111
Nortel	0.0871681
"Barnes &AMP; Noble"	0.0870518
Raytheon	0.0867328
"Con Edison"	0.0867248
"Bear Stearns"	0.0866079
"Lehman Brothers"	0.0860996
"Union Carbide"	0.0860205
Fujitsu	0.0859227
BankBoston	0.0857543
"Walt Disney Co."	0.0855702
"United Airlines"	0.0853686
"First Union"	0.085352
Corp.	0.0850245
E-LOAN	0.0848223
"Pepsi Cola"	0.0848104
excite	0.0847018
AlliedSignal	0.0845569
"United Parcel Service"	0.0842611
Comcast	0.0840972
"Lockheed Martin"	0.0840611
"France Telecom"	0.0839608
Citicorp	0.0839584
Biogen	0.0834806
"GE Capital"	0.0833085
"John Hancock"	0.0825967
"Silicon Graphics"	0.0825669
t	0.0824855
"Dow Chemical"	0.0822037
Scientific-Atlanta	0.0818435
Intuit	0.0817985
"Coca-Cola Co."	0.0815746
"Coca-Cola Enterprises"	0.081225
MCI	0.0812204
GANNETT	0.0808306
Mobil	0.0805359
Siemens	0.0801078
Schlumberger	0.0801008
"American Home Products"	0.0800862
CMGI	0.0799476
"Network Solutions"	0.0797161
Reebok	0.0796529
UBS	0.0795247
"Credit Suisse First Boston"	0.0794857
Qwest	0.0794076
AmeriTrade	0.0793296
Schering-Plough	0.0792841
"Dell Computer Corp."	0.0792267
"Delta Airlines"	0.0789653
E-Trade	0.0789526
"Global Crossing"	0.0787022
Lycos	0.0786849
"Glaxo Wellcome"	0.0786124
"Walt Disney"	0.0785693
"P&AMP;G"	0.0781271
Corning	0.0779625
Starbucks	0.077909
"US West"	0.0775772
DrKoop.com	0.077261
Clorox	0.0772466
"Times Co."	0.0772461
ExciteAtHome	0.0771877
McKesson	0.0771544
Instinet	0.0768253
Unilever	0.0765799
"Hewlett-Packard Co."	0.0762553
Netscape	0.0762354
"HBO &AMP; Co."	0.0761088
"New York Times Co."	0.0758769
SBC	0.0758735
Barclays	0.075871
))
("American Family Publishers" (desc 1274.91) (sims
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"Abbott Laboratories"	0.115208
Checkfree	0.108067
"Aetna U.S. Healthcare"	0.0997717
"Royal Caribbean"	0.0986802
"Softbank Corp."	0.0966754
Railtrack	0.0951485
Cargill	0.0938802
"Chronicle Publishing"	0.0883573
"GTE Corp."	0.0869183
"Time Inc."	0.0866739
All-Tech	0.0856847
"Jenny Jones Show"	0.084263
MP@.com	0.0837259
"Chase Manhattan Corp."	0.083706
Providian	0.0836557
AHP	0.0836499
"Ed McMahon"	0.0833038
ENTERGY	0.0829348
Lukoil	0.081385
TYCO	0.0812855
Bertelsmann	0.0803052
RJR	0.0801735
"Ask Jeeves"	0.0799908
Stearns	0.0797347
Equifax	0.0794768
AMR	0.0793244
AUM	0.078466
"Aetna Inc."	0.0781827
Gunmakers	0.0772269
"Cendant Corp."	0.0757741
Texaco	0.0754293
"Comcast Corp."	0.0744617
RealNetworks	0.0742963
"American Home Products"	0.0740582
"Brown &AMP; Williamson Tobacco Corp."	0.0734299
Lucasfilm	0.0733005
Genentech	0.0730261
Zeneca	0.0727504
"Computer Associates"	0.0724011
"American International Group"	0.0723406
emachines	0.0719942
AstraZeneca	0.0717997
Shinn	0.0715995
Telmex	0.0713054
"Main Events"	0.0710624
"Koch Industries"	0.0706966
KNU	0.0703986
"Bear Stearns"	0.0701956
DoubleClick	0.0700045
ExciteAtHome	0.0699198
"United Parcel Service"	0.0696756
Natale	0.068853
RNC	0.0687924
"Bankers Trust Corp."	0.0685212
"UAL Corp."	0.0685029
"American Home Products Corp."	0.0684925
ENTREMED	0.0682762
"Sears, Roebuck &AMP; Co."	0.0680795
NiSource	0.0680721
"State Farm"	0.0680217
Giacchetto	0.0676169
"Pacific Lumber"	0.067037
Healtheon	0.0668045
"Cox Communications"	0.0663035
"Con Edison"	0.0660541
"Fannie Mae"	0.0656517
"Tele-Communications Inc."	0.0655707
"Nippon Telegraph"	0.0653926
"Cincinnati Enquirer"	0.0652252
"Monsanto Co."	0.0650296
Unilever	0.0648087
"Park Place"	0.0648017
Aventis	0.0647974
USEC	0.0647761
Halliburton	0.0645568
Quackenbush	0.0644496
"Dow Corning"	0.064322
"Network Solutions"	0.0641277
"Citigroup Inc."	0.0640377
"Pratt &AMP; Whitney"	0.0638978
"UBS AG"	0.0638771
Aetna	0.0637874
"AMR Corp."	0.0637527
"Legend Group"	0.0635481
"Sumitomo Bank"	0.0632641
"Liberty Media"	0.0630736
"PG&AMP;E"	0.0630025
"T Corp."	0.0629557
"Lycos Inc."	0.0629269
"Hearst Corporation"	0.0628648
Kroger	0.0627745
"Network Associates"	0.0627308
Biogen	0.0626932
Kulikov	0.0624006
"Consolidated Edison"	0.0621675
"Federated Department Stores"	0.0619708
Sumitomo	0.0619011
"Phelps Dodge"	0.061743
"BP Amoco"	0.0616302
"U S West"	0.0614284
Liggett	0.0613764
"National Cancer Institute"	0.0613297
Borodin	0.0611618
Dreyfus	0.0610976
Odwalla	0.0610339
Vivendi	0.0608384
GANNETT	0.0608218
Media-MOST	0.060675
"Enron Corp."	0.0605362
"American Home"	0.0604125
"Cisco Systems Inc."	0.0603458
Hoechst	0.0602964
"Qualcomm Inc."	0.0602785
Monsanto	0.0599889
"Wal-Mart Stores"	0.0598766
"Con Ed"	0.059661
Asda	0.0594214
Boesak	0.0593317
Scientific-Atlanta	0.0588357
MTA	0.0586199
"Bank Bali"	0.0585401
ADM	0.0585049
Loewen	0.0583113
ACB	0.0582033
GEC	0.058194
"BankAmerica Corp."	0.0581759
"Chevron Corp."	0.0580851
"Livent Inc."	0.0579973
"Turner Broadcasting"	0.0579408
Emulex	0.0577265
"Silicon Graphics"	0.0575984
Allstate	0.0572713
Medtronic	0.057245
"Hongkong Telecom"	0.0572417
"Xu Wenli"	0.0572115
BASF	0.0570568
"U.S. Postal Service"	0.0569575
Dexter	0.0569121
Mabetex	0.0568087
Toysmart	0.0566741
SFX	0.0566323
WPP	0.056331
"MCI Worldcom Inc."	0.0563138
Raytheon	0.0562825
"Shamil Basayev"	0.0562404
F.A	0.056162
AlliedSignal	0.0560075
E-LOAN	0.0559771
Albertson's	0.0558944
"SBC Communications Inc."	0.055846
BNFL	0.0555807
"Ameritech Corp."	0.0555507
"Texaco Inc."	0.055544
PSINet	0.055521
"Northern Telecom"	0.0554991
Astra	0.0554307
BP	0.0553595
Roche	0.0553357
PEOPLESOFT	0.0551523
Echostar	0.055115
MCA	0.0550917
Danka	0.0548439
MCI	0.0548385
"National Grid"	0.0547715
Isner	0.0547346
Gazprom	0.0547244
"Operation Lifeline Sudan"	0.0547032
Autodesk	0.0545992
"JDS Uniphase"	0.0545427
Mudge	0.054518
Humana	0.0545173
"WorldCom Inc."	0.054479
Cline	0.0544345
GTE	0.0544343
UBS	0.0543479
"Sara Lee"	0.0543459
Google	0.0543235
ALZA	0.0543181
"Diamond Multimedia"	0.0542906
Cathay	0.0541705
"Pitney Bowes"	0.0540761
DirecTV	0.0540461
"Pacific Century Cyberworks"	0.0540187
IMG	0.0539207
"Philip Morris Cos."	0.053845
Novartis	0.0538353
"Scotland Yard"	0.0537241
"De Beers"	0.0537072
"Universal Music Group"	0.0536988
Unicom	0.0535027
"Tribune Co."	0.0534877
Omnipoint	0.0533402
Alcatel	0.0533018
PETROBRAS	0.0532878
Webvan	0.0532148
"Gap Inc."	0.05311
"Mitsubishi Motors"	0.053101
Chiron	0.0530957
Barad	0.0530827
))
("American Federation" (desc 5571.97) (sims
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"National Education Association"	0.202869
"Communications Workers of America"	0.186613
"International Brotherhood"	0.17381
"International Brotherhood of Electrical Workers"	0.173139
"Air Line Pilots Association"	0.160246
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AFL-CIO	0.151276
"United Steelworkers"	0.1508
"Association of Flight Attendants"	0.142312
"National Association"	0.136755
"National Organization"	0.127315
"Human Rights Campaign"	0.123781
"American Association of Health Plans"	0.122081
"American Association of Retired Persons"	0.117652
"machinists union"	0.117064
"Sierra Club"	0.116948
"United Auto Workers"	0.11644
"National Abortion and Reproductive Rights Action League"	0.112713
"American Bankers Association"	0.111609
"International Association of Machinists"	0.109584
"U.S. Chamber of Commerce"	0.10759
"Democratic Leadership Council"	0.106403
"Handgun Control Inc."	0.106198
"National Council of La Raza"	0.105854
"American Civil Liberties Union"	0.104262
"Log Cabin Republicans"	0.104066
"National Alliance"	0.103158
"National Republican Congressional Committee"	0.101878
"Cuban American National Foundation"	0.100978
"American Psychological Association"	0.0999525
NAACP	0.0986143
"Handgun Control"	0.097975
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"Consumer Federation"	0.0969225
"District Council"	0.0957378
"Local @@@@"	0.0945087
"Local @@@"	0.0937987
"Democratic Congressional Campaign Committee"	0.0935762
"Anti-Defamation League"	0.0932705
"Christian Coalition"	0.0915635
"Family Research Council"	0.090773
"Texas Department of Public Safety"	0.0902107
"Securities Industry Association"	0.0895953
"Planned Parenthood"	0.0893647
"National Association of Manufacturers"	0.0884131
"U.S. Immigration and Naturalization Service"	0.087152
"League of Conservation Voters"	0.0868925
CWA	0.0867854
"Allied Pilots Association"	0.0863733
"Recording Industry Association of America"	0.0854901
"Federal Reserve Bank of New York"	0.0844342
"National Highway Traffic Safety Administration"	0.0840523
"Rainbow/PUSH Coalition"	0.0822407
"Air Transport Association"	0.0815572
"Common Cause"	0.0813812
"Human Rights Watch"	0.0811595
"CBS Sports"	0.0807376
"right to life"	0.0806077
"National Council of Churches"	0.080106
federation	0.0797074
"American Lung Association"	0.0795889
"National Rifle Association"	0.0793252
"International Badminton Federation"	0.0791414
"National Conference"	0.077186
"American Cancer Society"	0.0767455
"American Jewish Committee"	0.0765093
"NFL Players Association"	0.0760561
"American Petroleum Institute"	0.0760479
"National Audubon Society"	0.075392
"Board of Elections"	0.0753243
"American Heart Association"	0.0751908
Confederation	0.0746351
"Democratic Senatorial Campaign Committee"	0.0743405
"Local @@"	0.0739144
Teamsters	0.0738217
"Constitutional Assembly"	0.0738129
"American Legion"	0.0737226
AARP	0.0735083
"South African Communist Party"	0.0731728
"Screen Actors Guild"	0.0725166
guild	0.0724606
"Chevron Corp."	0.0722366
"Evangelical Lutheran Church"	0.0722193
"Center for Democracy"	0.0717982
"Republican National Committee"	0.0716319
"Natural Resources Defense Council"	0.0715024
ACLU	0.0714303
"National Marine Fisheries Service"	0.0714062
"American Bar Association"	0.0711402
"Motion Picture Association of America"	0.0709629
Greenpeace	0.0699387
"United Way"	0.0696313
"International Amateur Athletics Federation"	0.0696174
"Congressional Black Caucus"	0.0692865
"American Red Cross"	0.0691539
"International Federation"	0.0691445
"Mastercard International"	0.0679911
"Amnesty International"	0.0678814
"National Council"	0.0674058
"European Parliament"	0.066956
"American Association"	0.0665128
"World Wildlife Fund"	0.0664294
"Urban Institute"	0.0664204
"chamber of commerce"	0.0664122
"United Malays National Organization"	0.0662569
"National Trust"	0.0655453
UAW	0.0652144
"Federal Emergency Management Agency"	0.06511
"Philippine Senate"	0.0647425
DLC	0.0643292
"World Jewish Congress"	0.0643024
"New York Civil Liberties Union"	0.0640634
"American Medical Association"	0.0638226
"Families USA"	0.0635626
"Office of Management and Budget"	0.0633004
"Bill Lockyer"	0.063097
"more than three-fourths"	0.0627557
NARAL	0.0625667
"Consumers Union"	0.0622764
Archdiocese	0.0622182
"International Amateur Athletic Federation"	0.0619109
"Health Department"	0.0619085
"Health Care Financing Administration"	0.0617958
"board of education"	0.0617267
"Time Warner Cable"	0.0616932
"House Commerce Committee"	0.0615642
"trade association"	0.0607862
"Sydney Organizing Committee"	0.0606057
"Asia Society"	0.0604252
"American Psychiatric Association"	0.0603682
"Continental Airlines"	0.0603579
"Israeli Knesset"	0.0602082
"Health and Human Services Department"	0.0601711
"National Association of Broadcasters"	0.0601122
"Port Authority of New York"	0.0599607
"National Academy of Sciences"	0.0598961
"International Society"	0.0597958
"U.S. Olympic Committee"	0.0596487
"professional association"	0.0594191
"World Bank Group"	0.0592512
"Department of Environmental Protection"	0.0589565
"Inter-Parliamentary Union"	0.0589139
"European Bank for Reconstruction"	0.0588592
"National Transportation Safety Board"	0.0588052
"National Aeronautics and Space Administration"	0.0587666
"Federation Council"	0.0586215
"U.S. Soccer Federation"	0.0584166
"Hong Kong Federation"	0.0582441
"Board of Supervisors"	0.0581099
"House Appropriations Committee"	0.0580136
"Chinese Olympic Committee"	0.0579699
"Education Department"	0.0576953
"Department of Public Safety"	0.0576746
"Judicial Watch"	0.0576274
"Dow Jones &AMP; Co."	0.0575911
"Palestinian Council"	0.0575668
"Department of Health and Human Services"	0.0573803
HKMA	0.0573653
"African National Congress"	0.0572555
"Salt Lake Organizing Committee"	0.0571091
"Justice Ministry"	0.0570449
"Department of Education"	0.0570251
"International Committee"	0.0570167
"Southern Co."	0.056927
"Israeli Cabinet"	0.0567851
"Southern Poverty Law Center"	0.0567215
"Humane Society"	0.0567048
"Heritage Foundation"	0.0564009
"National Election Committee"	0.0563457
"United Methodist Church"	0.0563393
"Audubon Society"	0.0562701
"federal office"	0.0561586
PTA	0.0556874
"China National Petroleum Corporation"	0.0555322
"Department of Foreign Affairs"	0.05551
"Operation Rescue"	0.0553927
"Environmental Protection Agency"	0.0553811
"Center for Responsive Politics"	0.0553518
"All-China Federation"	0.0552778
TrustE	0.0551154
"U.N. World Food Program"	0.0550857
"ABC Sports"	0.0550303
"Federal Council"	0.0549999
"National Press Club"	0.0549524
"Democratic National Committee"	0.0549388
Bundestag	0.0548965
"Department of Corrections"	0.0548537
"Ministry of Foreign Trade and Economic Cooperation"	0.0547981
"Bank for International Settlements"	0.0547832
"Palestinian National Council"	0.0547011
"Treasury Department"	0.0546726
"National Association of Realtors"	0.0546227
"Census Bureau"	0.054573
IMG	0.0545464
"Council on Foreign Relations"	0.0545169
"China Society"	0.0545095
"Ministry of Trade and Industry"	0.0543281
"Liberation Front"	0.0542926
"Center Party"	0.0542859
))
("American Film Institute" (desc 2168.89) (sims
"Modern Library"	0.121933
"Sporting News"	0.107395
AFI	0.100427
"Transparency International"	0.100339
"Baseball America"	0.100072
"National Electoral Commission of Nigeria"	0.0916647
guild	0.0885526
"Whitney Museum of American Art"	0.0852387
"US State Department"	0.0734154
UNESCO	0.0723869
Almodovar	0.0713347
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"Academy of Motion Picture Arts"	0.0699964
"China National Tourism Administration"	0.0694372
CSA	0.0683142
"Republican National Committee"	0.0678995
Boorman	0.0677066
Zogby	0.0675064
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"World Jewish Congress"	0.064501
"Social Security Administration"	0.0619322
"Simon Wiesenthal Center"	0.0613393
"International Tennis Federation"	0.0611862
"U.S. Golf Association"	0.0602984
"Media Metrix"	0.0601158
"Kennedy Center"	0.0597475
"National Republican Congressional Committee"	0.0595535
"Better Business Bureau"	0.0591176
"Van Sant"	0.0588256
"Smithsonian Institution"	0.0586378
"Electoral Commission"	0.0586022
"Museum of Contemporary Art"	0.0584742
"Business Week"	0.0568718
"Pew Research Center"	0.0564525
CNTA	0.0562579
Kirov	0.0560737
"Whitney Museum"	0.0559319
"National Marine Fisheries Service"	0.0558429
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"Bank Negara"	0.0555108
"House Budget Committee"	0.0554172
"Humane Society"	0.0553813
"United Nations Educational, Scientific and Cultural Organization"	0.0549094
"Entertainment Weekly"	0.0548494
Comelec	0.0548286
"Executive Board"	0.0546796
"Tate Gallery"	0.0545045
Schindler	0.0543389
"Top @"	0.0542876
EMI	0.0534581
"San Francisco Museum of Modern Art"	0.0532306
"Legal Aid Society"	0.0530993
CEC	0.0525932
"World Tourism Organization"	0.0524607
"Metropolitan Museum of Art"	0.0520313
Guggenheim	0.0518916
"U.S. Commerce Department"	0.0518023
"Brooklyn Museum of Art"	0.0517133
"Holiday Bowl"	0.0514669
"World Report"	0.0514512
"National Audubon Society"	0.0513665
"United Nations Industrial Development Organization"	0.0509188
"State Family Planning Commission"	0.0508357
"Top @@@"	0.0507478
"Museum of Modern Art"	0.0507342
"Human Rights Campaign"	0.0506926
"Australian Cricket Board"	0.0504989
"National Election Committee"	0.05046
"Hong Kong Monetary Authority"	0.050125
"Ministry of Land"	0.0498316
"High Museum of Art"	0.0496949
SFC	0.0496302
"Hearst Corporation"	0.0495616
"Olympic Committee"	0.0494209
"search committee"	0.049334
"Deloitte &AMP; Touche"	0.0492818
"University of Notre Dame"	0.0489584
Tarantino	0.0489235
ADL	0.0486838
"Screen Actors Guild"	0.0486683
"New Line Cinema"	0.0486044
NPA	0.0485744
Toysmart	0.0484589
"Harvard College"	0.0482441
"Consumer Product Safety Commission"	0.04823
"TV guide"	0.0482297
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"Freedom Forum"	0.0479888
"Levi Strauss &AMP; Co."	0.0479189
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Sayles	0.04771
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ATP	0.0474271
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"Dorothy Chandler Pavilion"	0.0471701
"Playboy Mansion"	0.0471334
"Education Department"	0.0468877
"Consumer Federation"	0.04674
RNC	0.0467121
NHRA	0.0466742
"Nevada State Athletic Commission"	0.0465722
"Nevada Athletic Commission"	0.0464828
"State Forestry Administration"	0.0464695
Gallup	0.0464629
"Truth Commission"	0.0464175
ACB	0.0464154
NAACP	0.0464103
"China Securities Regulatory Commission"	0.0463795
"Independent National Electoral Commission"	0.0462362
LIFFE	0.0461468
HKTA	0.0459652
"Health and Human Services Department"	0.0459252
"American Jewish Committee"	0.0459226
"U.S. State Department"	0.0458446
"Meretz Party"	0.0458369
EC	0.0458057
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PGA	0.0457528
Panasonic	0.045719
"Civil Aviation Authority"	0.0456931
"ethics committee"	0.0456716
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"World Wildlife Fund"	0.0454154
"Relevant Knowledge"	0.0453886
CCC	0.0453436
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"Linus Torvalds"	0.0448411
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"Commission on Elections"	0.0447484
CMA	0.0447268
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Dems	0.0446456
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"Metropolitan Museum"	0.0444955
"Propaganda Department"	0.0444032
"Democratic Convention"	0.0443777
"NZ First"	0.0443554
Emily	0.0442848
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Blazevic	0.0440309
"Golden Bear"	0.0440157
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Tauzin	0.0438638
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"jockey club"	0.0435989
WTA	0.0435
"Legend Group"	0.0434728
"Housing Authority"	0.043397
"Florida State University"	0.043253
Bristol-Myers	0.0431795
"National Trust"	0.0431611
BMG	0.0431588
NRC	0.0431146
"US House"	0.0429859
"Cox Report"	0.0429844
"Berlin Philharmonic"	0.0429832
FN	0.0428621
"Public Enemy"	0.0427186
"International Rescue Committee"	0.0426651
"State Education Commission"	0.042632
"Nanjing University"	0.0426297
"Nielsen Media Research"	0.0426087
"Los Angeles City Council"	0.0426031
"Costume Institute"	0.0425931
"Independent Electoral Commission"	0.0425493
"American Medical Association"	0.0424804
"U.S. Export-Import Bank"	0.0424013
Kazan	0.0423225
PATA	0.042206
"Museum of Natural History"	0.0420805
"Department of Environment"	0.0419412
"Hearst Corp."	0.0419146
"House International Relations Committee"	0.0418739
"Bank of Montreal"	0.0418367
"Ministry of Transport"	0.041709
"Acura Classic"	0.0416936
"Guinness Book"	0.0416336
LAUSD	0.0415782
"University of Southern California"	0.0414559
"Texas Department of Public Safety"	0.0414529
"International Amateur Athletics Federation"	0.041404
"Human Rights Watch"	0.0413831
"National Bureau of Statistics"	0.0413145
"Commerce Ministry"	0.041237
"Union of Concerned Scientists"	0.0412299
"Israeli Embassy"	0.0411745
HKFA	0.0409628
"Brown University"	0.0409579
Smithsonian	0.0409216
"Ministry of Forestry"	0.0409181
"U.S. Environmental Protection Agency"	0.0409148
"International Amateur Athletic Federation"	0.0409123
"Enron Corp."	0.0408941
"Vanguard Group"	0.0408155
))
("American football" (desc 2102.04) (sims
"professional football"	0.15413
"professional baseball"	0.125053
"professional basketball"	0.12269
lacrosse	0.119518
softball	0.108261
Rugby	0.107024
"ice hockey"	0.101666
"water polo"	0.0895089
badminton	0.089068
Frisbee	0.0827416
"Negro Leagues"	0.0823525
"Canadian Football League"	0.0803453
volleyball	0.0792263
"field hockey"	0.0734267
"Arena Football League"	0.0720957
takraw	0.0716521
"little league"	0.0690978
"table tennis"	0.0686505
CWS	0.0677537
"Red Star"	0.0673281
judo	0.0666036
"Phenix City"	0.0660288
"Fighting Irish"	0.0655854
"French horn"	0.0655671
Scrabble	0.0645667
cricket	0.0612227
AFL	0.0606515
karate	0.0593918
"track and field"	0.0591734
croquet	0.058962
Polo	0.0587796
snooker	0.0587147
varsity	0.058439
chess	0.058296
netball	0.0580915
handball	0.0577258
"Division I-AA"	0.0574334
Gymnastics	0.0571285
"Arena League"	0.0569475
"Dallas Burn"	0.0564936
"National Hockey League"	0.0564615
Powerball	0.0544428
peewee	0.0543274
XFL	0.0540766
tuba	0.0539103
"Cactus League"	0.0537133
Springbok	0.0525547
videogames	0.0521083
"Starr Report"	0.0520894
"audio CD"	0.0507087
Tabla	0.0503792
special-teams	0.0500247
"TOMS RIVER"	0.0493646
"next six"	0.0493363
"Southern Methodist"	0.0490137
"American Basketball League"	0.0489929
Pitt	0.0488961
DVD-ROM	0.0488003
"Horned Frogs"	0.0487838
ABL	0.0487736
"New York Liberty"	0.0487009
gridiron	0.0484027
"first nine"	0.0480408
NAU	0.0474983
"NFL Europe"	0.0474219
"University of Connecticut"	0.0466105
midrange	0.046574
"GI Joe"	0.0465613
"New York Yankee"	0.0465402
Rattler	0.0465223
"first eight"	0.0464586
"Center Court"	0.0464107
pinball	0.04618
"Crimson Tide"	0.0460314
gopher	0.0457225
"San Jose State"	0.0454185
billiards	0.0450318
Uri	0.0447759
rotisserie	0.0445389
"Solheim Cup"	0.0444993
"Sydney Olympic"	0.0444299
"first six"	0.0439697
"Nevada-Las Vegas"	0.0438957
Oktoberfest	0.0438646
uptempo	0.0437743
Evansville	0.0435227
"Appalachian State"	0.0434425
UTEP	0.0433966
"Los Angeles Galaxy"	0.043176
bagpipe	0.0431636
Laker	0.0425809
"Richard III"	0.0423624
MacDonald's	0.0422758
brinksmanship	0.0421191
Napoli	0.0412151
"Texas Christian"	0.0411489
bluegrass	0.0411103
"Western Athletic Conference"	0.041081
solitaire	0.0409768
"first overtime"	0.0409574
"Cal State Northridge"	0.0407789
weightlifting	0.0404943
PAOK	0.0404615
"American Football League"	0.0402879
UNLV	0.0402605
topspin	0.0402511
Opry	0.0401229
oboe	0.0401105
"British Isles"	0.0400857
))
("American Football League" (desc 1082.01) (sims
AFL	0.245178
"Southwest Conference"	0.138371
ABA	0.131606
"American Basketball League"	0.127425
"professional baseball"	0.103254
"Continental Basketball Association"	0.103087
"Central Division"	0.0981999
"Big Sky Conference"	0.0980579
CWS	0.0954705
"professional golf"	0.0927609
"Western Athletic Conference"	0.0923751
"Negro Leagues"	0.0918913
"National Hockey League"	0.0911998
"ice hockey"	0.0911027
"Pan Ams"	0.0903702
"professional football"	0.0884407
"National Football League"	0.0874284
"AFC West"	0.086885
"Arena League"	0.0867388
XFL	0.084798
"professional basketball"	0.0841359
"SEC East"	0.0832711
"National League West"	0.0832452
WNBA	0.0831959
CBA	0.0821017
"NFC West"	0.0818173
"Conference USA"	0.0811823
"American Hockey League"	0.0801342
"Southeastern Conference"	0.079302
"Indy Racing League"	0.078885
"National League East"	0.0783125
WAC	0.0772867
"Warsaw Pact"	0.0768646
"Division @"	0.0767207
ABL	0.0763651
"Indian Air Force"	0.0756938
"National Basketball Association"	0.0735697
EuroLeague	0.0734804
"World League"	0.073219
"Big Sky"	0.0732139
Pacific-@@	0.0730171
"AFC East"	0.0729173
"Little League World Series"	0.0719537
"Big West"	0.0712272
"National League Central"	0.0710697
"Arena Football League"	0.0708336
"United Democratic Movement"	0.0708291
"International League"	0.0702593
"AFC Central"	0.0701463
"Division I-AA"	0.0694476
"West Regional"	0.0671885
Mensa	0.0669737
"Eastern Division"	0.0664433
"NFC Central"	0.0660784
"Canadian Football League"	0.0660315
"AL Central"	0.0657047
"South Regional"	0.0654061
"American League East"	0.0646748
"MLS Cup"	0.0630839
"Atlantic Coast Conference"	0.0626627
"NL East"	0.0611432
WEF	0.0610597
bodybuilding	0.0604508
"Atlantic Division"	0.0604418
"U.S. Senior Open"	0.0599713
"NL Central"	0.0597739
Bundesliga	0.0591809
"Pacific Division"	0.059096
Airstream	0.058809
IHL	0.0587826
"Federation Cup"	0.0587476
Rostock	0.0586988
Catalan	0.0586579
"Reagan Democrats"	0.0586573
"International Hockey League"	0.058621
A.L.	0.0584384
ml	0.0582968
"East African Community"	0.0582591
"China Democracy Party"	0.0579657
"Ma Bell"	0.0576393
"Top Fuel"	0.0574621
C-USA	0.0571995
"Thomas Cup"	0.0571949
"Los Angeles Rams"	0.0571438
"Progressive Party"	0.0569893
"chicken coop"	0.0562991
"American League West"	0.0560423
"Sudirman Cup"	0.05601
"Pan Pacific"	0.0557673
snooker	0.0556684
"Ethiopian Airlines"	0.0554188
AHL	0.0549609
"Church of Jesus Christ of Latter-day Saints"	0.0549144
"Cleveland Browns"	0.0547198
"Houston Oilers"	0.0546886
Gothenburg	0.0546315
"United States Senate"	0.0541645
"musical group"	0.0536803
"Uber Cup"	0.0534702
WHA	0.0532929
hardcourt	0.0531723
"blue angel"	0.0530719
"basketball league"	0.0529275
"Fed Cup"	0.0529012
crock	0.0528304
"Midwest Regional"	0.0527934
"PLO Executive Committee"	0.0527092
"NFC East"	0.0526825
"junior middleweight"	0.0526642
DLC	0.0525317
"Kai Tak Airport"	0.0520293
"B&AMP;B"	0.051986
cruiserweight	0.0518786
"Big East"	0.0514035
"AL East"	0.051116
"Pan Am Games"	0.0510909
"first cup"	0.0510333
"Hopman Cup"	0.0510174
talkie	0.0509825
"Islamic Welfare Party"	0.05095
"AL West"	0.0504357
ACC	0.0499572
"David Irving"	0.049887
"Solheim Cup"	0.0497111
Motorsports	0.049704
"machine shop"	0.0496042
AmCham	0.0495815
"New Beetle"	0.0495582
"Atlanta Thrashers"	0.0493993
Miata	0.0492264
"Enron Corp."	0.0489507
"NFL Europe"	0.0489494
vertebrate	0.0489378
USSR	0.0489287
"US Congress"	0.0487447
"League Cup"	0.0485665
sorority	0.0481846
ECN	0.0478635
apparatchiks	0.0478334
Lugano	0.0478129
"British Parliament"	0.047802
"space program"	0.0476564
"Funny Car"	0.0475294
"first nine"	0.0474391
Blondie	0.04736
"New York City Marathon"	0.0473441
"Asian Cup"	0.0472991
"tennis club"	0.0472959
LPGA	0.0471269
"Ivy League"	0.0470781
gunslinger	0.0470598
"Grand Ole Opry"	0.0469815
"Scottish Parliament"	0.0469141
constructor	0.0468071
rowing	0.0467689
"radio set"	0.0467528
"Washington Senators"	0.0461903
"junior lightweight"	0.0461378
Klan	0.046033
"Arizona Republican"	0.0459985
"Dunhill Cup"	0.0459933
"Palm III"	0.0459515
pastureland	0.045868
"Studio @@"	0.0457122
"figure skating"	0.0456843
"Maple Leaf Gardens"	0.0456473
"LPGA Tour"	0.0454881
"Swiss Open"	0.0453631
"Japan Open"	0.0453483
"match play"	0.0451753
"United States Open"	0.0451179
baby-boomers	0.0449368
"Pennsylvania Station"	0.0448675
skydiver	0.0448349
"rescue equipment"	0.0446152
hickory	0.0445488
"Brooklyn Dodgers"	0.0444949
"bus company"	0.044485
Valhol	0.0444361
"Northeast Division"	0.04427
"little league"	0.0442149
"World Table Tennis Championships"	0.0441749
"particle physics"	0.0441643
"U.S. Amateur"	0.0441366
"man's body"	0.0441079
"College World Series"	0.0440438
"steam locomotive"	0.0438561
"core group"	0.0438481
"US House"	0.0438463
"Carolina Panthers"	0.0438322
"Class AAA"	0.043562
"Washington Wizards"	0.0434738
"first six"	0.0433683
Roadrunner	0.043368
Timberwolves	0.0433462
"junior welterweight"	0.0432533
"BankAmerica Corp."	0.0432514
PCF	0.0432499
T-@@	0.0432153
"Aryan Nations"	0.0431776
))
("American Heart Association" (desc 4254.72) (sims
"American Medical Association"	0.239031
"American Academy of Pediatrics"	0.220944
"American Lung Association"	0.208825
"American Cancer Society"	0.188085
"American Psychological Association"	0.179876
"American Bar Association"	0.153883
"National Abortion and Reproductive Rights Action League"	0.153092
"Securities Industry Association"	0.141982
"National Cancer Institute"	0.14058
"American Association"	0.140132
"American Red Cross"	0.139853
"National Academy of Sciences"	0.137639
"American Psychiatric Association"	0.137486
ama	0.132271
"National Urban League"	0.130012
AFL-CIO	0.125177
"National Education Association"	0.115273
NARAL	0.114204
"National Council of La Raza"	0.112467
IPU	0.11227
"World Health Organization"	0.111801
"National Association of Broadcasters"	0.107455
"Education Department"	0.107384
CDC	0.107232
"American Association of Health Plans"	0.106633
"World Economic Forum"	0.103381
Wyeth-Ayerst	0.101865
"U.S. Chamber of Commerce"	0.101714
"Handgun Control"	0.100976
"Urban League"	0.100379
NCI	0.0974888
AARP	0.0969001
"National Association"	0.0968737
"Planned Parenthood"	0.0958064
"Democratic Leadership Council"	0.0956114
"Asia Society"	0.0955806
AHA	0.0947808
"National Research Council"	0.0946848
"Inter-Parliamentary Union"	0.094662
"College Board"	0.0943852
WEF	0.0935902
PATA	0.0932657
"National Trust"	0.0929911
"National Science Foundation"	0.0928473
"New York Times Co."	0.0926067
"Weight Watchers"	0.0922484
UNCTAD	0.0916437
ILO	0.0914661
IGC	0.0903506
"Family Research Council"	0.0901401
"National Rifle Association"	0.0896804
YankeeNets	0.0887874
"Human Rights Campaign"	0.0886063
"Department of Health and Human Services"	0.0883353
"Medical Society"	0.0880254
"Sierra Club"	0.0870273
"Economic and Social Council"	0.0867962
"U.S. Immigration and Naturalization Service"	0.086509
"Motion Picture Association of America"	0.0857786
"Anti-Defamation League"	0.0857775
"Air Transport Association"	0.0849996
PNC	0.0848811
CBI	0.0846064
"Christian Coalition"	0.0843178
"National Highway Traffic Safety Administration"	0.0840655
UUP	0.0840161
"American Association of Retired Persons"	0.0840101
"Olympic Council of Asia"	0.0838462
"League of Women Voters"	0.0834658
"Council on Foreign Relations"	0.0830847
"Department of Health"	0.0830812
"Handgun Control Inc."	0.0830543
"American Petroleum Institute"	0.0829391
"Des Moines Register"	0.0828785
ESCAP	0.0828769
"French Foreign Ministry"	0.0828426
"United Way"	0.0827289
"Arab League"	0.0823111
"Association of Flight Attendants"	0.0821304
"U.S. Environmental Protection Agency"	0.082074
"Chinese Foreign Ministry"	0.0819962
"Health and Human Services Department"	0.0815115
"Alcoholics Anonymous"	0.0814667
NEA	0.0814653
PBOC	0.0814482
"Bank for International Settlements"	0.0810429
CAS	0.0810181
"Institute of Medicine"	0.0805874
"U.S. State Department"	0.080493
"Democratic Congressional Campaign Committee"	0.0799804
"chamber of commerce"	0.0798969
"NFL Players Association"	0.0798039
"Jerusalem Committee"	0.0792795
"Common Cause"	0.0791126
UNICEF	0.0787048
NAACP	0.0786734
DNC	0.0785618
"Texas Department of Public Safety"	0.0784488
"Board of Governors"	0.0781514
"Federal Emergency Management Agency"	0.0779538
"International Amateur Athletic Federation"	0.0775843
"American Jewish Committee"	0.0774766
"World Wildlife Fund"	0.0774702
"Log Cabin Republicans"	0.0773909
"Global Environment Facility"	0.0772522
UNESCO	0.0771487
"National Association of Manufacturers"	0.0770476
"European Council"	0.0766023
"National Marine Fisheries Service"	0.0764924
NSC	0.0763525
OECD	0.0761419
"National Council of Churches"	0.0760495
"Food and Drug Administration"	0.0759487
AAA	0.0755133
"Department of Public Safety"	0.0754878
"Consumer Federation"	0.0752362
"American Federation"	0.0751908
"National Audubon Society"	0.0750415
CAF	0.0749641
CITES	0.0746667
"Communications Workers of America"	0.0745913
"Amnesty International"	0.0745338
"Southern Poverty Law Center"	0.0744718
"National Alliance"	0.0743188
"Republican National Committee"	0.0742771
"Department of Environmental Conservation"	0.0739212
"Commission on Presidential Debates"	0.0736707
"United Nations Conference on Trade and Development"	0.0735155
"Department of Veterans Affairs"	0.0731182
"National Federation"	0.072758
"South Pacific Forum"	0.0726783
Greenpeace	0.0726604
"Association for Relations Across"	0.0724045
"International Society"	0.0722087
"Department of Corrections"	0.0721283
"American Bankers Association"	0.0720913
"Board of Elections"	0.0718192
PUC	0.0716931
OCA	0.0715122
"Wine Institute"	0.071438
"Supreme Council"	0.0712959
"Department of Energy"	0.0712324
"Better Business Bureau"	0.0710589
"Chinese Society"	0.0710495
"Council of Europe"	0.0710112
"Democratic National Committee"	0.0708631
"General Council"	0.0708027
"Humane Society"	0.0706394
"Ministry of Internal Trade"	0.0705567
"National Conference"	0.0705443
"Health Department"	0.0704194
"Time Inc."	0.0702295
"International Labor Organization"	0.0700554
"Asian Development Bank"	0.069978
"Con Edison"	0.0699071
NRA	0.0696764
"Israeli Embassy"	0.0696368
RNC	0.0695785
"Bank Negara"	0.0695764
"ABC Sports"	0.0694177
"Air Line Pilots Association"	0.0694077
"Department of Education"	0.0692617
UNAIDS	0.0689701
"U.N. Human Rights Commission"	0.068541
"National Organization"	0.0682779
"North Atlantic Council"	0.0682776
"Congress Working Committee"	0.0682485
"Forest Service"	0.0681826
VFW	0.0681792
"Screen Actors Guild"	0.0681408
"China National Petroleum Corporation"	0.0680924
"Inter-American Development Bank"	0.0680666
"Families USA"	0.0679426
HKMA	0.0678298
"Southern Baptist Convention"	0.0677146
"Department of Agriculture"	0.0675624
guild	0.0675597
DEP	0.0673493
"China Society"	0.0673411
"All-China Journalists Association"	0.0673337
"Koch Industries"	0.0672497
"Justice Ministry"	0.0671452
FAO	0.067124
CPSC	0.0670095
EC	0.0669405
"European Commission"	0.0668628
"Rainbow/PUSH Coalition"	0.0666633
EPA	0.0664659
SSB	0.0664576
"Kaiser Family Foundation"	0.0664554
PETA	0.0663824
ABA	0.0663461
"Levi Strauss"	0.066295
"National Institutes of Health"	0.0662764
"American Civil Liberties Union"	0.0662421
"Audubon Society"	0.066144
"World Bank"	0.0659863
"Southeastern Legal Foundation"	0.0659659
SDPC	0.0659549
JMC	0.0656628
))
("American Hockey League" (desc 1875.06) (sims
AHL	0.413024
"International League"	0.243713
"International Hockey League"	0.151206
IHL	0.146137
"Class AAA"	0.140393
"Pacific Coast League"	0.124503
"Continental Basketball Association"	0.118963
"Southeastern Conference"	0.10331
CWS	0.100714
CBA	0.098504
"Big Sky Conference"	0.0956742
"Canadian Football League"	0.0939014
"Division I-AA"	0.0917523
"Big East"	0.0847103
"National Hockey League"	0.0846498
"minor league"	0.0846029
"Big Sky"	0.0839081
NFC	0.082327
Kalamazoo	0.0822638
"Division @"	0.0821213
"Arena Football League"	0.0816489
"Italian League"	0.0801448
"American Football League"	0.0801342
"National Basketball Association"	0.0799379
"Little League World Series"	0.079887
ml	0.0785539
AFL	0.0783523
"basketball league"	0.0775661
"NFC East"	0.0774462
WNBA	0.0773028
"Fed Cup"	0.07694
"Western Athletic Conference"	0.0762953
"American League East"	0.07629
"Federation Cup"	0.0755268
"Central Division"	0.075184
"National League Central"	0.0739153
"World League"	0.0733421
"National Invitation Tournament"	0.0732589
AFC	0.0729235
"AFC West"	0.0721784
"Western Conference"	0.0721178
"SEC East"	0.0719417
"National Football League"	0.0718719
"Senior Bowl"	0.0714135
ABL	0.0709737
AAA	0.0701166
Bundesliga	0.0700186
"Midwest Regional"	0.0697738
"NFL Europe"	0.0691346
"South Regional"	0.0664552
UAM	0.0663409
Pacific-@@	0.066294
ACC	0.0662553
"professional baseball"	0.0660728
"Dunhill Cup"	0.065583
NL	0.0641775
"NL Central"	0.0640242
"National League West"	0.063885
"Fox Network"	0.0637955
"Arena League"	0.0628278
"Southwest Conference"	0.0626848
"Eastern Conference"	0.0625916
"Solheim Cup"	0.0625841
XFL	0.0624228
snooker	0.0621326
Pawtucket	0.0620189
"junior college"	0.0618871
"little league"	0.0614315
"Atlantic Coast Conference"	0.0608237
WAC	0.0607954
"Uber Cup"	0.0607891
"Conference USA"	0.0607742
"AFC Central"	0.060613
"Pacific Division"	0.0605999
"MLS Cup"	0.0600274
"American League"	0.059342
"Thomas Cup"	0.0589063
"Big @@"	0.0587259
EuroLeague	0.0581815
Pac-@@	0.0580761
"AFC East"	0.0576952
"NFC West"	0.0567521
"Pan Ams"	0.0560236
"Copa America"	0.0546203
"National League East"	0.0533572
C-USA	0.0533229
"professional basketball"	0.0531164
"Big West"	0.0529022
"U.S. Senior Open"	0.0527492
A.L.	0.0519747
"Chinese Basketball League"	0.0516862
"West Regional"	0.0515233
"College World Series"	0.0513289
"Pan Pacific"	0.0512544
CAA	0.0511459
"NFC Central"	0.0511293
"AL East"	0.0510304
"NL West"	0.0507068
"South Bend"	0.0502721
"European Cup"	0.050253
"professional football"	0.0496384
nit	0.0495694
"AL West"	0.0493733
"American Basketball League"	0.049325
"Premier League"	0.0491821
"National Collegiate Athletic Association"	0.0489447
lacrosse	0.0484995
WHA	0.0484032
"World Championship"	0.0482811
"Eastern Division"	0.0478797
"Japan Open"	0.0477311
"Sudirman Cup"	0.0466677
cruiserweight	0.0466236
"AL Central"	0.0464575
"American League West"	0.0464549
"Funny Car"	0.0461581
"Ryder Cups"	0.0461094
"Negro Leagues"	0.0460473
"ice hockey"	0.0456451
Serie	0.0455582
"Orange Bowl"	0.0454063
"Phenix City"	0.0451955
"NL East"	0.0449625
Telemundo	0.0445165
"Hopman Cup"	0.0442231
"first cup"	0.0441831
under-@@	0.0440101
"professional golf"	0.0438818
"Atlantic Division"	0.0436214
"Swiss Open"	0.0431268
hardcourt	0.0423543
"Kickoff Classic"	0.0423131
"Pan American Games"	0.0419742
nightcap	0.0418766
"Top Fuel"	0.0417628
"Libertadores Cup"	0.041711
"World Group"	0.0413694
pentathlon	0.0413592
"True North"	0.0413407
"junior lightweight"	0.0412517
constructor	0.0409607
"first nine"	0.0406201
"won nine"	0.04055
SCI	0.0403546
"San Bernardino"	0.0403187
Scrabble	0.0403032
PBA	0.040231
"FA Cup"	0.0401137
))
("American Home" (desc 4841.38) (sims
"American Home Products"	0.329517
AHP	0.199993
"American Home Products Corp."	0.193158
RJR	0.178997
Pfizer	0.176219
Warner-Lambert	0.168438
McKesson	0.164808
Schering-Plough	0.154621
Litton	0.15252
"P&AMP;G"	0.150916
Aetna	0.149927
Monsanto	0.149783
COLTEC	0.147743
"U S West"	0.146171
NORTHROP	0.144547
"Sara Lee"	0.144192
Qwest	0.141474
Emulex	0.139494
NiSource	0.139167
Bestfoods	0.138123
"Bristol-Myers Squibb"	0.138098
Honeywell	0.137954
SmithKline	0.137307
"Thermo Electron"	0.136864
WorldCom	0.136856
"Philip Morris"	0.136753
WPP	0.136292
VENATOR	0.135562
Wyeth-Ayerst	0.13529
GTE	0.134423
Genentech	0.13441
Pharmacia	0.134034
Norwest	0.133308
Biogen	0.133014
MiniMed	0.132566
SBC	0.132223
UAL	0.130576
"Glaxo Wellcome"	0.129812
"Phelps Dodge"	0.127706
Nabisco	0.127241
Pepsico	0.126945
Merck	0.126843
"J&AMP;J"	0.126591
Glaxo	0.126388
ALZA	0.126247
Mannesmann	0.12621
"Bausch &AMP; Lomb"	0.126028
NatWest	0.125916
Cendant	0.125291
Starwood	0.124775
"Global Crossing"	0.124538
Warnaco	0.124387
Genzyme	0.124364
"Times Mirror"	0.12434
GANNETT	0.123676
Citicorp	0.123093
Exxon	0.123041
"Johnson &AMP; Johnson"	0.122492
"Nippon Credit"	0.12166
"Boston Scientific"	0.121496
"Union Carbide"	0.121315
Sunbeam	0.12036
"Eli Lilly"	0.12001
Unilever	0.119892
"Royal Bank"	0.119755
AstraZeneca	0.119731
Viacom	0.119691
Lilly	0.119513
Vivendi	0.119293
TYCO	0.119075
"U.S. Trust"	0.118739
"Bankers Trust"	0.118738
Texaco	0.118737
Humana	0.118512
Alcan	0.118436
Marketspan	0.118407
IAI	0.118263
Vodafone	0.117612
Totalfina	0.117149
Mattel	0.116859
Avondale	0.115242
Gillette	0.114804
Lockheed	0.11456
Healtheon/WebMD	0.11349
BankAmerica	0.113347
Seagram	0.113258
Comcast	0.112977
Ciena	0.112368
Providian	0.112319
Amgen	0.112023
"MCI WorldCom"	0.111962
"Air Canada"	0.111951
ADM	0.111868
"Dow Chemical"	0.111792
IDT	0.111581
ENTREMED	0.111297
"US Airways"	0.111228
"BP Amoco"	0.111224
ENTERGY	0.110803
WebMD	0.110398
"Pacific Century"	0.109752
ARCO	0.109564
HSBC	0.109387
Schering	0.109338
BankBoston	0.109173
"Union Pacific"	0.109135
"USA Networks"	0.109056
Novartis	0.108884
"RJR Nabisco"	0.108544
"Rite Aid"	0.108346
Paribas	0.108321
"Telecom Italia"	0.108209
"Bell Atlantic"	0.108205
"Waste Management"	0.108169
ascend	0.108012
MCI	0.10795
Livent	0.107322
Halliburton	0.107102
DaimlerChrysler	0.106972
"Deutsche Telekom"	0.106154
Astra	0.105575
Conseco	0.105347
"Ford Motor Co."	0.105307
Georgia-Pacific	0.104867
"Coca-Cola Co."	0.104675
"Learning Co."	0.104634
AutoNation	0.104387
AMR	0.104312
"Eastman Kodak"	0.104075
Chiron	0.10404
EarthLink	0.103946
Delphi	0.103586
XYLAN	0.103409
Healtheon	0.103233
CCE	0.103176
Webvan	0.103173
"Con Edison"	0.102839
Federated	0.102675
Daimler	0.102294
"drug maker"	0.102138
Aegon	0.102009
Compaq	0.101894
Lilco	0.101815
MP@.com	0.101335
Rhone-Poulenc	0.101215
Nortel	0.101169
Olivetti	0.101038
Telefonica	0.100676
UBS	0.100379
Alcoa	0.100195
REVLON	0.100155
BellSouth	0.0999809
EMC	0.0998035
CMGI	0.099734
Airtouch	0.0997119
"Computer Associates"	0.0993403
Hoechst	0.0991266
"Dow Corning"	0.0989881
Bristol-Myers	0.0985752
Clorox	0.0984245
Coca-Cola	0.0984135
"America West"	0.0981432
"News Corp."	0.0980543
Roche	0.0979208
"HBO &AMP; Co."	0.097904
Chevron	0.09787
"Con Ed"	0.0974862
"Network Associates"	0.0973646
AIG	0.097219
Checkfree	0.0971747
Bayer	0.0971589
E-LOAN	0.0971264
Kodak	0.0970776
"Time Warner"	0.0970171
"R.J Reynolds"	0.0969948
Tenneco	0.0969157
Mobil	0.0968456
"Bank of Scotland"	0.096158
"Coca-Cola Enterprises"	0.096081
"Burlington Northern"	0.0960169
Asarco	0.0957916
Maytag	0.0957702
"Koch Industries"	0.0955944
LTCB	0.0955101
Broderbund	0.0955089
Amoco	0.0954872
"State Farm"	0.095481
Abbott	0.0951979
Qualcomm	0.0950305
Alltel	0.0949262
GeoCities	0.0948384
MindSpring	0.0948263
"Chrysler Corp."	0.0947171
Pitney	0.0945384
Volvo	0.0944062
"Total Fina"	0.0939905
GPU	0.0937825
Intel	0.093437
Verizon	0.0933506
Iomega	0.0930903
))
("American Home Products" (desc 8325.38) (sims
"American Home"	0.329517
Pfizer	0.257064
"Glaxo Wellcome"	0.243527
"American Home Products Corp."	0.242649
Warner-Lambert	0.224457
"Pharmacia &AMP; Upjohn"	0.224059
"Bristol-Myers Squibb"	0.216034
Novartis	0.203364
"Johnson &AMP; Johnson"	0.199839
Schering-Plough	0.19741
"Pfizer Inc."	0.196268
Merck	0.195595
"SmithKline Beecham"	0.18763
"Warner-Lambert Co."	0.187538
Monsanto	0.177133
"Philip Morris"	0.163712
"Eli Lilly"	0.161368
Pepsico	0.160038
"Sara Lee"	0.154416
Dupont	0.153358
"Learning Co."	0.151598
Bestfoods	0.150011
"General Electric Co."	0.148024
"Global Crossing"	0.145781
Unilever	0.145265
"Walt Disney Co."	0.145209
WorldCom	0.144285
"Federated Department Stores"	0.14239
Exxon	0.141908
Viacom	0.14139
"MCI WorldCom"	0.135737
Bristol-Myers	0.135734
"GTE Corp."	0.134397
Emulex	0.133826
Hasbro	0.133426
SBC	0.132449
AHP	0.130838
"U S West"	0.130585
"Boeing Co."	0.130386
Seagram	0.129588
"General Electric"	0.127963
Genentech	0.12749
"Time Warner"	0.126865
"Bell Atlantic"	0.126166
"BP Amoco"	0.126093
"Lockheed Martin"	0.125947
"Procter &AMP; Gamble"	0.125414
"Seagram Co."	0.124781
"US Airways"	0.124053
Aetna	0.123819
"News Corp."	0.123576
Pharmacia	0.123512
"Merck &AMP; Co."	0.123348
Daimler-Benz	0.123133
MCI	0.122164
"Intel Corp."	0.121685
Mannesmann	0.121639
"Coca-Cola Co."	0.121603
Qwest	0.121559
AstraZeneca	0.121308
Lockheed	0.121045
"Abbott Laboratories"	0.120599
Vivendi	0.120375
Citicorp	0.119775
McKesson	0.119503
"Deutsche Bank AG"	0.119386
"Gap Inc."	0.119211
"Bankers Trust"	0.118931
"Network Associates"	0.118507
Norwest	0.118007
"Daimlerchrysler AG"	0.117693
Mattel	0.117574
"Computer Associates"	0.117436
GANNETT	0.117377
BankAmerica	0.11721
"Philip Morris Cos."	0.116984
"Northeast Utilities"	0.116961
ALZA	0.11628
"Telecom Italia"	0.116218
"UAL Corp."	0.1162
Compaq	0.115801
Alcoa	0.115589
"USA Networks"	0.115267
"Lucent Technologies"	0.115182
"Bell Atlantic Corp."	0.115092
"R.J Reynolds"	0.114895
Comcast	0.114859
"P&AMP;G"	0.114748
UAL	0.114198
"Legend Group"	0.113847
"Ford Motor Co."	0.113759
Texaco	0.11372
"Deutsche Telekom"	0.113685
"Sony Corp."	0.113574
Vodafone	0.113322
"Hughes Electronics Corp."	0.11308
Citigroup	0.11286
"British Aerospace"	0.112835
"Coca-Cola Enterprises"	0.112402
"Deutsche Bank"	0.112167
"Dow Chemical"	0.11215
"America Online"	0.111524
"Time Inc."	0.111368
Halliburton	0.111215
"United Technologies"	0.109865
"Cendant Corp."	0.109774
Telefonica	0.10968
Astra	0.109577
Zeneca	0.109358
Cisco	0.109318
"Hughes Electronics"	0.109096
GTE	0.109039
Gillette	0.108896
Amgen	0.108704
AMR	0.108665
Omnicom	0.108529
CMGI	0.108394
"McDonnell Douglas"	0.108135
Honeywell	0.108091
"Smith &AMP; Wesson"	0.107929
"Phelps Dodge"	0.107413
"General Motors"	0.107346
"Travelers Group"	0.107216
Litton	0.107139
"JDS Uniphase"	0.107084
"Berkshire Hathaway"	0.106828
Ameritech	0.106671
"Compaq Computer Corp."	0.106665
Nabisco	0.10662
"General Motors Corp."	0.10657
"Hearst Corporation"	0.106005
DaimlerChrysler	0.106
Lilly	0.105973
Coca-Cola	0.105945
Roche	0.10579
"Boston Scientific"	0.105588
Intel	0.105165
Nokia	0.105159
TYCO	0.104754
Healtheon	0.104652
"Tribune Co."	0.104553
Boeing	0.10437
"Times Co."	0.104035
Hewlett-Packard	0.103207
Raytheon	0.103159
"RJR Nabisco"	0.103129
"Con Edison"	0.103092
Chevron	0.10254
"U.S. Trust"	0.101993
"Union Carbide"	0.10198
Amoco	0.101966
Volkswagen	0.101812
"J&AMP;J"	0.101632
HSBC	0.10148
"Sprint Corp."	0.10128
"Microsoft Corp."	0.101134
"Canadian Airlines"	0.100811
"Viacom Inc."	0.100454
"Symantec Corp."	0.100434
BellSouth	0.100332
Genzyme	0.100181
Paribas	0.100086
"Eli Lilly &AMP; Co."	0.100083
Qualcomm	0.0997565
"Bausch &AMP; Lomb"	0.0996045
AlliedSignal	0.0991442
Airtouch	0.0989984
SmithKline	0.098975
"Volvo AB"	0.0988305
Mobil	0.0986625
"International Business Machines Corp."	0.0980148
"drug maker"	0.0978943
Publicis	0.0978936
"SBC Communications"	0.0978669
Sunbeam	0.0978576
"New York Times Co."	0.0978211
"True North"	0.0975538
Abbott	0.0973767
Cendant	0.0973702
"Dayton Hudson"	0.0973008
Corning	0.097282
Chrysler	0.097228
EarthLink	0.0967955
"Royal Bank"	0.0967188
MindSpring	0.0965567
BankBoston	0.0965469
"CBS Corp."	0.0965104
"AMR Corp."	0.0962747
Ge	0.0961925
"Levi Strauss"	0.0961441
WPP	0.0959321
"NEC Corp."	0.0957845
Lycos	0.0957568
Bridgestone	0.0955694
"WorldCom Inc."	0.0954564
IBM	0.0951737
Aventis	0.0950806
ARCO	0.0950249
"Time Warner Inc."	0.094938
Bertelsmann	0.0948939
))
("American Home Products Corp." (desc 2131.66) (sims
"American Home Products"	0.242649
"Pfizer Inc."	0.219647
"American Home"	0.193158
Warner-Lambert	0.162711
"Glaxo Wellcome"	0.15495
"Chevron Corp."	0.151677
"Warner-Lambert Co."	0.13439
Pfizer	0.129594
"Bristol-Myers Squibb"	0.128433
"Sony Corp."	0.125958
"Reed Elsevier"	0.124271
"Seagram Co."	0.123169
"Johnson &AMP; Johnson"	0.122688
"Federated Department Stores"	0.120514
"Time Warner Inc."	0.11881
Novartis	0.117833
"NEC Corp."	0.117739
"drug maker"	0.115134
"Times Co."	0.113469
Viacom	0.113321
"Cendant Corp."	0.112388
"Bell Atlantic Corp."	0.112006
"Bertelsmann AG"	0.111655
"Exxon Corp."	0.111492
"Gap Inc."	0.108841
"UBS AG"	0.108597
"Eli Lilly"	0.107937
"Merck &AMP; Co."	0.105754
"American International Group"	0.105273
"Pharmacia &AMP; Upjohn"	0.10448
Exxon	0.10416
Monsanto	0.103896
"SmithKline Beecham"	0.103876
"Viacom Inc."	0.103482
"General Motors Corp."	0.101872
Hoechst	0.100586
"Travelers Group"	0.0994476
"Abbott Laboratories"	0.0988004
"Deutsche Bank AG"	0.0980964
Yukos	0.0975741
"Dow Jones &AMP; Co."	0.0971062
"Aetna Inc."	0.0970277
Roche	0.096913
"Royal Dutch/Shell"	0.0961461
"International Management Group"	0.0960476
Citicorp	0.0956633
AHP	0.0955263
"Daimlerchrysler AG"	0.0951861
Merck	0.0950777
"CBS Corp."	0.0949474
"Walt Disney Co."	0.0946577
"Union Carbide"	0.092929
"Hughes Electronics Corp."	0.0928877
HSBC	0.092061
"Monsanto Co."	0.0917342
"Toshiba Corp."	0.0913634
"SBC Communications Inc."	0.091168
"New York Times Co."	0.0910719
Dupont	0.0905107
Vivendi	0.0903255
"Atlantic Richfield Co."	0.0903133
"Mobil Corp."	0.0895287
"News Corp."	0.0891766
"Ford Motor Co."	0.0891066
Amoco	0.0886421
"Hearst Corporation"	0.0885438
GANNETT	0.0884737
Astra	0.0883852
"Siemens AG"	0.0883648
"Time Warner"	0.0877766
"MindSpring Enterprises"	0.0877318
"Sprint Corp."	0.087364
"WorldCom Inc."	0.087226
Telefonica	0.087148
"Mattel Inc."	0.0869472
"USA Networks"	0.0866751
"Global Crossing"	0.0862955
"Northeast Utilities"	0.0861366
Immunex	0.0858881
"R.J Reynolds"	0.0858037
"Park Place"	0.0847688
"Dayton Hudson"	0.083763
Cablevision	0.083658
Aegon	0.0836203
WorldCom	0.0835926
"HSBC Holdings"	0.0835913
"Enron Corp."	0.0829587
"BankBoston Corp."	0.082834
"Sara Lee"	0.0824914
Comcast	0.0822974
Odwalla	0.0822047
"Chase Manhattan Corp."	0.0820112
WebMD	0.082007
Texaco	0.081942
GTE	0.0817359
PolyGram	0.0812723
"U S West"	0.080548
"United Technologies"	0.0801651
MCI	0.0798426
"Telecom Italia"	0.0797315
BankAmerica	0.0797125
RJR	0.0796497
"UAL Corp."	0.0788705
"Philip Morris"	0.0782871
TCI	0.0782057
"GTE Corp."	0.0781854
Bertelsmann	0.0781826
"General Motors"	0.078149
"Philip Morris Cos."	0.0779828
"BP Amoco"	0.0779615
"Deutsche Telekom"	0.0779068
Eni	0.0778768
Scientific-Atlanta	0.0778284
McKesson	0.0777253
Norwest	0.0768149
Ameritech	0.076547
"British Petroleum"	0.0763919
"Procter &AMP; Gamble"	0.0763711
Qwest	0.0760297
"General Electric Co."	0.0760244
Citigroup	0.0760053
"Bell Atlantic"	0.0758638
"Thomson CSF"	0.0754822
"Boeing Co."	0.0750761
"Network Associates"	0.0748256
Amgen	0.0748059
Loewen	0.0747385
"Chase Manhattan Bank"	0.0739157
Unilever	0.0735281
Omnicom	0.0735126
DaimlerChrysler	0.0731677
"Volkswagen AG"	0.0730676
"Pepsico Inc."	0.0728939
Marcoses	0.0728701
Bristol-Myers	0.0723799
"Aetna U.S. Healthcare"	0.0722122
"Bausch &AMP; Lomb"	0.072167
MindSpring	0.0721516
"Eli Lilly &AMP; Co."	0.0718597
"Hearst Corp."	0.0718301
"Nissan Motor Co."	0.0714202
Pepsico	0.0713891
SBC	0.0712172
Emulex	0.0711765
"Mather Worldwide"	0.0710834
Toysmart	0.0707983
Warnaco	0.0707925
"MCI WorldCom"	0.070731
"Hyundai Group"	0.0707164
"Toyota Motor Corp."	0.0706807
"General Electric"	0.0705633
"Lockheed Martin"	0.0705014
Federated	0.0704771
"Volvo AB"	0.0695003
"British Telecommunications"	0.0692601
"Microsoft Corp."	0.0690781
Nestle	0.0687905
KPN	0.0687813
MP@.com	0.0685731
"Ministry of Trade and Industry"	0.0685075
"American Family Publishers"	0.0684925
AMR	0.0683405
UAL	0.0680703
Mediaone	0.0679582
Lockheed	0.0678841
Daimler-Benz	0.0676138
Rhone-Poulenc	0.067296
Hasbro	0.0669814
"Waste Management"	0.0669355
"Chrysler Corp."	0.0668983
Spector	0.0668441
"International Business Machines Corp."	0.0667147
"British Telecom"	0.0663426
Aetna	0.0662538
"Electronic Arts"	0.0661115
"Nippon Telegraph"	0.0657535
"Daimler-Benz AG"	0.0657249
BASF	0.0657247
"Bankers Trust Corp."	0.0654419
"Hitachi Ltd."	0.0653521
"ransom money"	0.0653082
Chevron	0.0651779
"Societe Generale"	0.0649743
"W.R. Grace"	0.0646916
RWE	0.0644065
"BankAmerica Corp."	0.0641436
Enron	0.0640116
Renault	0.0638592
"United Parcel Service"	0.0637202
AstraZeneca	0.0636959
Halliburton	0.0636773
"Lucent Technologies Inc."	0.0636384
Genzyme	0.0634924
Mobil	0.0634626
"SBC Communications"	0.0633265
"Tele-Communications Inc."	0.0631147
"Smith &AMP; Wesson"	0.0630732
"Lycos Inc."	0.0629041
Lipstadt	0.0628003
"Metropolitan Transportation Authority"	0.0626267
))
("American Indian" (desc 17082) (sims
"native American"	0.277827
Asian-American	0.167134
"African American"	0.153422
Hispanic	0.132585
Latino	0.131571
Anglos	0.124409
Asian-Americans	0.123211
African-American	0.122766
"Asian Americans"	0.10935
"Asian American"	0.108304
"Puerto Rican"	0.105582
Hopi	0.103971
"African Americans"	0.10347
Inuit	0.102875
Caucasian	0.102772
Maori	0.102241
Anglo	0.102166
Eskimo	0.101663
Asian	0.10127
Indian	0.101095
Navajo	0.100195
black	0.0959862
"Hispanic American"	0.0941873
minority	0.0891311
immigrant	0.0879221
CHEROKEE	0.087556
Maasai	0.0864642
Tibetan	0.085394
Aborigine	0.0833611
christian	0.0830093
"Latin American"	0.0827668
"Orthodox Jews"	0.082464
Mayan	0.0815897
Mexican	0.0815415
Gypsy	0.0812415
Filipino	0.0811949
Irish	0.0807438
Jew	0.079746
"Middle Eastern"	0.0796811
Tibetans	0.0785154
Italian-Americans	0.0778787
non-whites	0.077574
African	0.0773765
Haitian	0.0761595
Inca	0.0759669
Jewish	0.075583
Iroquois	0.0750813
Arab	0.0742378
Gay	0.074046
"foster child"	0.0739554
Khmer	0.0738539
Acadian	0.0720431
Mexican-Americans	0.0713468
Chinese	0.0711606
Chinese-American	0.0708198
peasant	0.070576
Catholic	0.0703752
Koreans	0.0703041
Latin	0.0702569
Sioux	0.0700249
Dominican	0.0693991
"Orthodox Jewish"	0.0689363
Makah	0.0689127
"people of color"	0.0680103
Muslim	0.0680023
"senior citizen"	0.0679725
"Orthodox Christian"	0.0677509
Hawaiians	0.0673481
Amish	0.0662998
Hmong	0.0660155
"farm worker"	0.0658269
"West Indian"	0.0656445
low-income	0.0645308
Javanese	0.0640944
Hausa	0.0636577
"black woman"	0.0634011
Mexican-American	0.0633221
"union member"	0.0629031
Vietnamese	0.0622697
Arab-American	0.0621825
tribe	0.0621363
Sikh	0.0616993
"Roman Catholic"	0.0614904
"small farmer"	0.061068
Hawaiian	0.0608951
farmer	0.0600635
citizen	0.0600506
settler	0.0600193
"college student"	0.059373
Afro-Cuban	0.0592555
elderly	0.058534
Californian	0.058463
Mohawk	0.0580135
youth	0.0578733
"black man"	0.0577715
Korean	0.0577131
Canadian	0.0576771
male	0.0575761
Southerner	0.0573834
Kurdish	0.057253
inmate	0.0572427
Texan	0.0568449
Aboriginal	0.056796
adolescent	0.0566895
Greeks	0.0565797
Egyptian	0.0565333
"AIDS patient"	0.0565183
Moslem	0.0561227
Greek	0.0559358
Yoruba	0.055839
Fishermen	0.0557721
"ethnic group"	0.0555684
Portuguese	0.0555055
female	0.0554544
feminist	0.0554383
Japanese	0.0551368
"union worker"	0.0551018
foreigner	0.0550119
French	0.0549071
lesbian	0.0547246
policyholder	0.0544857
Hungarian	0.0542802
"Central American"	0.0538191
nonwhite	0.0537961
Japanese-Americans	0.053791
slave	0.0536942
"middle class"	0.0535034
Armenian	0.0528976
Cuban	0.0526422
"working class"	0.0521763
"labor union"	0.0521377
Cuban-Americans	0.0520626
laborer	0.0520344
Zhuang	0.0519411
teens	0.0518916
Chinese-Americans	0.0517884
Moroccan	0.0517289
Arizonan	0.0516915
Maya	0.0516894
Armenians	0.0516202
"Eastern European"	0.0516095
dweller	0.0515731
Mormon	0.0515253
retiree	0.051519
homeless	0.0514933
Kenyan	0.0513878
homosexual	0.0513675
Aztec	0.0513598
Roman	0.0513002
"East Timorese"	0.0512209
diabetic	0.0511639
"South African"	0.0511402
enrollee	0.0510493
Zulu	0.0509729
Palestinian	0.0509554
servicemen	0.0508652
Libertarian	0.0506033
youngster	0.0505694
smoker	0.0505526
homeowner	0.0503736
pensioner	0.0502141
prisoner	0.0501494
freshmen	0.0500904
Albanian	0.0500664
landowner	0.0500592
Hasidic	0.050045
Kurds	0.0498642
"New Zealander"	0.0497691
miner	0.0497499
Turk	0.0496591
Baptist	0.0496304
"white man"	0.0494257
teen-ager	0.0494117
Malay	0.049402
Colombian	0.0493063
anarchist	0.0492541
Hindu	0.0492497
orphan	0.0492293
"Kosovar Albanians"	0.0491463
"North African"	0.0489938
"South American"	0.0489762
Slavic	0.0489526
nonwhites	0.0483944
"East German"	0.048212
"university student"	0.0480751
"white woman"	0.0480255
migrant	0.0479323
"coal miner"	0.0478321
Nigerian	0.0477012
Druse	0.0474895
"right whale"	0.0474848
disabled	0.0473762
Spanish	0.0472898
Iraqi	0.047173
Ukrainians	0.0471687
environmentalist	0.0471087
Brazilian	0.0470409
Alaskan	0.0469212
skinhead	0.0468667
"North American"	0.0468637
))
("American International Group" (desc 2364.96) (sims
"Aetna Inc."	0.298964
"Travelers Group"	0.211153
AXA	0.2048
Aegon	0.200688
"Halliburton Co."	0.194364
Allianz	0.194106
"SBC Communications Inc."	0.193249
"Bertelsmann AG"	0.189026
"Viacom Inc."	0.174516
"UBS AG"	0.155221
AIG	0.155098
"Enron Corp."	0.154566
ING	0.154315
"Federated Department Stores"	0.154126
Allstate	0.147102
"Citigroup Inc."	0.146528
"Chase Manhattan Corp."	0.142975
"Johnson &AMP; Johnson"	0.141762
"Hyundai Group"	0.14086
Aetna	0.140582
"Softbank Corp."	0.140023
"Seagram Co."	0.13955
Generali	0.139116
"Cendant Corp."	0.13807
"HSBC Holdings"	0.137437
"Hughes Electronics Corp."	0.136558
Vivendi	0.136224
"CMGI Inc."	0.13566
"NEC Corp."	0.13551
"Merck &AMP; Co."	0.134103
"Exxon Corp."	0.132716
"GE Capital"	0.132122
Halliburton	0.131652
Eni	0.131107
"UAL Corp."	0.130675
"Chase Manhattan Bank"	0.129563
Bertelsmann	0.129458
"Times Co."	0.128845
"CBS Corp."	0.128844
"News Corp."	0.128709
"Royal Dutch/Shell"	0.128161
"Tele-Communications Inc."	0.12754
"ELF AQUITAINE"	0.126428
"Chevron Corp."	0.12557
YankeeNets	0.125364
"Hearst Corporation"	0.125142
"Siemens AG"	0.124545
"Motorola Inc."	0.124052
"Daewoo Group"	0.123957
Unilever	0.123143
"Nippon Telegraph"	0.122862
Citigroup	0.122822
"Gap Inc."	0.121257
"AMR Corp."	0.120913
Pepsico	0.120589
"Time Warner Inc."	0.120059
"Ford Motor Company"	0.119393
Schlumberger	0.118417
"Bell Atlantic Corp."	0.118327
Novartis	0.117389
SFX	0.117063
"Knight Ridder"	0.117034
"National Grid"	0.117019
"Sony Corp."	0.116532
"Tribune Co."	0.116112
"New York Times Co."	0.11536
BankAmerica	0.115211
"Reed Elsevier"	0.113659
"Cisco Systems Inc."	0.113302
"Dow Jones &AMP; Co."	0.113095
"Deutsche Bank AG"	0.113073
"Symantec Corp."	0.112031
"First Union Corp."	0.111815
Citicorp	0.11161
"Bank of America"	0.111461
"Hearst Corp."	0.110731
"Eli Lilly"	0.109917
AMR	0.109542
"ABN AMRO"	0.109287
Publicis	0.109201
"Blue Cross"	0.108483
"Oracle Corp."	0.108262
"Deutsche Bank"	0.107925
"Volkswagen AG"	0.107425
"International Business Machines Corp."	0.107392
"Bank of Montreal"	0.107183
"Mattel Inc."	0.106984
Conseco	0.10697
AMP	0.106849
"SBC Communications"	0.106679
"BankAmerica Corp."	0.106141
"Vanguard Group"	0.106031
"Raytheon Co."	0.105731
"MindSpring Enterprises"	0.105727
Aventis	0.105373
"American Home Products Corp."	0.105273
Viacom	0.104535
"General Electric Co."	0.104188
"Prudential Insurance Co."	0.103322
Enron	0.103123
"Vivendi SA"	0.102494
"Berkshire Hathaway"	0.10168
Yukos	0.101247
Texaco	0.100588
EMC	0.100513
"Liberty Media"	0.100474
HSBC	0.100452
"Chase Manhattan"	0.0992771
AstraZeneca	0.0991616
"Philip Morris"	0.0990488
"Walt Disney Co."	0.0988294
Lukoil	0.0983918
"General Motors Corp."	0.097697
Omnicom	0.0976793
"First Union"	0.0976445
"Pfizer Inc."	0.096345
"Abbott Laboratories"	0.0957718
"Warner-Lambert Co."	0.0951484
Hasbro	0.0945194
"British Telecom"	0.0944628
Nestle	0.0943612
Cigna	0.0943318
BASF	0.094178
"Lockheed Martin Corp."	0.0940105
Interpublic	0.0928739
Merck	0.0924682
Roche	0.0923606
"State Farm"	0.0923464
"Vodafone AirTouch"	0.0921877
Telefonica	0.0918901
"Compaq Computer"	0.0917395
"Ford Motor Co."	0.091361
Novell	0.0911516
Cablevision	0.091044
"Charles Schwab Corp."	0.0909653
"EMC Corp."	0.0908723
"Monsanto Co."	0.0908425
Pfizer	0.0908209
"Lucent Technologies"	0.0907377
"Wal-Mart Stores"	0.0906135
"United Technologies"	0.0905843
"Met Life"	0.0902582
YPF	0.0899506
"Procter &AMP; Gamble"	0.0895161
Westinghouse	0.0894987
Alcatel	0.0893457
"SmithKline Beecham"	0.088884
Healtheon	0.0886951
Federated	0.0885735
"Glaxo Wellcome"	0.0884737
TCI	0.088467
"Northeast Utilities"	0.0880831
"Omnicom Group"	0.0873513
"Silicon Graphics"	0.0871572
UAL	0.0870887
"National Semiconductor"	0.0870604
"MCI WorldCom"	0.0868879
"National Association of Securities Dealers"	0.0868549
GEC	0.0867832
"American Home Products"	0.0866959
"Hughes Electronics"	0.0866886
"Cisco Systems"	0.0866743
"Livent Inc."	0.0863333
"Pharmacia &AMP; Upjohn"	0.0863185
Qualcomm	0.0862735
Humana	0.0860052
"General Electric"	0.085897
Dupont	0.0858354
Citibank	0.085792
Siemens	0.0857172
Chevron	0.085497
"USA Networks"	0.0853769
"BP Amoco"	0.0851434
China.com	0.0850772
"Mannesmann AG"	0.0850218
UBS	0.0847653
"Applied Materials"	0.0846825
MetLife	0.0845221
"Levi Strauss &AMP; Co."	0.0844266
Primedia	0.084243
"Koch Industries"	0.083725
Totalfina	0.0835733
SAirGroup	0.083533
"Fleet Financial Group"	0.083468
prudential	0.0833229
Nortel	0.083256
Exxon	0.0830571
"Hewlett-Packard Co."	0.0828884
"Bristol-Myers Squibb"	0.0826959
"First USA"	0.0826134
"Eastman Kodak"	0.0825729
"Computer Associates"	0.0825364
"Canal Plus"	0.0823795
"Time Warner"	0.0823158
MCA	0.0823045
"Morgan Stanley Dean Witter"	0.0822369
Monsanto	0.0820648
"Sara Lee"	0.0820357
"True North"	0.0819959
"Credit Suisse"	0.081827
))
("American Jewish" (desc 965.839) (sims
"Orthodox Jewish"	0.239369
Arab-American	0.21083
Irish-American	0.182262
"Israeli Arab"	0.168458
"Irish Catholic"	0.161621
Korean-American	0.145263
Japanese-American	0.136817
"Kosovar Albanian"	0.136201
Asian-American	0.134165
Cuban-American	0.133701
Italian-American	0.131757
"Asian American"	0.124462
Hasidic	0.124286
Khmer	0.121428
"Kosovo Albanian"	0.117401
Abortion-rights	0.117177
Kashmiri	0.110317
Coptic	0.109497
"African American"	0.108336
Mexican-American	0.107403
Acadian	0.106124
Quaker	0.101215
Ijaw	0.100049
"Shiite Muslim"	0.0996887
Amish	0.0984841
Islamist	0.097969
"Northern Irish"	0.0978882
pan-African	0.0968201
Kurdish	0.0930651
Okinawan	0.0904226
Maasai	0.0887247
Sephardic	0.0878254
Sunni	0.0864106
Chinese-American	0.0863427
non-Indian	0.0857803
Armenian	0.0852283
"Turkish Cypriot"	0.0848097
"Sunni Muslim"	0.0826781
"Eastern European"	0.0820849
kibbutz	0.0819555
"Ethnic Albanian"	0.0805972
Hausa	0.0794475
Yoruba	0.0783504
Tibetan	0.0772634
slain	0.0757181
"Nahdlatul Ulama"	0.0754064
Icelandic	0.0749735
his/her	0.0740562
Javanese	0.0732325
"Hispanic American"	0.071268
"Islamic Jihad"	0.0708706
Makah	0.0700542
Mayan	0.0700483
"Abu Nidal"	0.0700168
Inuit	0.0699762
Sinhala	0.0695877
grassroot	0.069519
mariachi	0.0693805
"South Asian"	0.0691773
"North African"	0.0690864
pro-business	0.0687851
sub-regional	0.0685876
Hmong	0.0680412
"investment banking"	0.0676351
NGO	0.0673268
Bedouin	0.0671633
"Southern Baptist"	0.0660414
"Western European"	0.065834
Navajo	0.0655616
ultranationalist	0.0639755
gangsta	0.0633783
"Black Panther"	0.0628095
"Bosnian Muslim"	0.0622608
Berber	0.0620106
preservationist	0.0619493
neo-Nazi	0.061465
pro-British	0.0609215
pan-European	0.0608021
Bengali	0.060747
Abkhazian	0.060478
world-class	0.0602114
Shiite	0.0601843
"Ulster Unionist"	0.0599228
non-Hispanic	0.0598274
hardline	0.0596529
Scottish	0.0595471
ranching	0.0595428
Slavic	0.0592718
Oriole	0.0592023
UDF	0.0586266
Kosovar	0.058616
"Christian Democrat"	0.0581384
small-business	0.0580542
geeky	0.0579673
ultra-Orthodox	0.0576562
KKK	0.0575832
Anglo	0.0572133
streetwise	0.0571024
"South Texas"	0.0570809
YankeeNets	0.057003
O'Connor's	0.0569705
"Caribbean Community"	0.0567724
"Bay State"	0.056582
"Tibetan Buddhist"	0.0565185
pan-Arab	0.0561093
Aggie	0.056082
JACK's	0.0557799
"Greek Cypriot"	0.0551177
"direct action"	0.0550964
Bobo	0.0550248
Simons	0.054039
contrarian	0.0537003
"professional golf"	0.0535826
"North Korean"	0.0534953
Moro	0.05283
Hemings	0.052818
"white supremacy"	0.0526697
Druse	0.0526574
"World Championship"	0.0524349
Yiddish	0.052423
Eskimo	0.0522315
Fatah	0.052137
Mennonite	0.0520697
Motorsports	0.052011
"West African"	0.0518571
"About three million"	0.0516131
septuagenarian	0.0515858
Maya	0.0514006
ninety	0.0512597
Zulu	0.0508487
hemophiliac	0.0507764
Inca	0.0507598
"Promise Keepers"	0.0506382
anything-goes	0.0505578
Banyamulenge	0.0503306
mujahedeen	0.0503107
oceanfront	0.0500183
UDM	0.0497763
"Russian Communist Party"	0.0497461
"right to life"	0.049721
"Senate Republican"	0.0496963
NHRA	0.0495746
post-Soviet	0.049123
up-and-down	0.0490961
"Fayette County"	0.0490359
vaudevillian	0.0488281
non-Catholic	0.0486687
Breton	0.0485776
Maoist	0.0481898
non-American	0.0480726
oceanside	0.0480313
chiropractic	0.0479348
showbiz	0.0479103
Taleban	0.0477315
"picture postcard"	0.0475793
SPS	0.0473315
segregationist	0.0472522
revisionist	0.047174
Zapatista	0.0471364
"Aum Shinrikyo"	0.0470273
hippie	0.046992
Iroquois	0.0468216
heretic	0.0467553
"Middle Eastern"	0.0466591
"French Canadian"	0.046627
Seahawk	0.0463813
WNBF	0.0460457
Hezb-i-Islami	0.0459078
Usenet	0.0459002
abolitionist	0.0458617
emigre	0.0457057
"Rockdale County"	0.0456623
NDA	0.0454388
BASQUE	0.0452637
WOODWARD's	0.0451988
geisha	0.0450285
UUP	0.044995
Kurd	0.0449777
ragtag	0.0449079
Nunez	0.0446361
quadriplegic	0.0444165
"Red Crescent"	0.0444092
"East Texas"	0.0442373
Elf-Aquitaine	0.0442298
Latina	0.0440965
techie	0.043936
"Herri Batasuna"	0.0438795
gnome	0.0436888
interagency	0.0434478
"Buena Vista"	0.0432572
shaken	0.0429289
"Vietnamese Communist Party"	0.0427902
Contra	0.0427414
deadhead	0.0427282
agribusiness	0.0424308
"Shas Party"	0.0424055
"thousand years"	0.0422249
ninja	0.0422199
forgotten	0.0420767
royalist	0.0420679
))
("American Jewish Committee" (desc 1363.81) (sims
"Anti-Defamation League"	0.203014
"Human Rights Campaign"	0.172034
"Consumer Federation"	0.163424
"Electronic Privacy Information Center"	0.162356
"American Civil Liberties Union"	0.159374
"Center for Science"	0.158196
"World Jewish Congress"	0.151776
"Cuban American National Foundation"	0.149455
"American Association of Retired Persons"	0.149254
"Handgun Control Inc."	0.14822
"National Urban League"	0.146127
"American Lung Association"	0.145996
"Urban League"	0.14533
"Violence Policy Center"	0.144975
"New York Civil Liberties Union"	0.141735
"National Council of La Raza"	0.14061
"Rainbow/PUSH Coalition"	0.13792
"Log Cabin Republicans"	0.136955
"Families USA"	0.135359
"Sierra Club"	0.134549
"Center for Responsive Politics"	0.133624
"Jewish Museum"	0.133577
"National Audubon Society"	0.132556
"National Republican Congressional Committee"	0.130499
ACLU	0.129764
"International Rescue Committee"	0.129404
"Southern Poverty Law Center"	0.127549
"Heritage Foundation"	0.126944
"Democratic Congressional Campaign Committee"	0.11915
"European Bank for Reconstruction"	0.118929
"American Association of Health Plans"	0.117553
"Catholic Charities"	0.115656
"National Alliance"	0.114626
"U.N. World Food Program"	0.114501
"National Association"	0.114157
"Legal Aid Society"	0.114109
"Securities Industry Association"	0.113513
"Democratic Senatorial Campaign Committee"	0.113133
"Simon Wiesenthal Center"	0.112403
"Islamic Movement"	0.111716
Oxfam	0.111629
"Human Rights Watch"	0.111573
"Union of Concerned Scientists"	0.111355
"Natural Resources Defense Council"	0.111249
UNAIDS	0.110517
"Handgun Control"	0.110427
"Amnesty International"	0.110355
"Family Research Council"	0.109183
AARP	0.108541
ADL	0.108113
"U.S. Soccer Federation"	0.108046
"American Psychological Association"	0.107699
"National Federation"	0.106942
"American Cancer Society"	0.10662
"U.S. Immigration and Naturalization Service"	0.105975
"National Council of Churches"	0.105573
"National Organization"	0.10548
"World Wildlife Fund"	0.105113
"Center for Democracy"	0.105038
"Federal Emergency Management Agency"	0.104481
"State Bureau of Cultural Relics"	0.10385
"National Education Association"	0.103231
"right to life"	0.103094
"Electronic Frontier Foundation"	0.10249
"NFL Players Association"	0.100134
"Planned Parenthood"	0.0994676
Greenpeace	0.0985968
"Australian Olympic Committee"	0.0978529
"Solomon R. Guggenheim Museum"	0.0978191
"Democratic Leadership Council"	0.0976604
"Transparency International"	0.0961784
"Motion Picture Association of America"	0.0955537
"Southeastern Legal Foundation"	0.0951919
"Republican Leadership Council"	0.0950128
"American Legion"	0.0946408
"Consumers Union"	0.0940858
"Hong Kong Trade Development Council"	0.0935074
"Nevada State Athletic Commission"	0.0934319
GOPAC	0.0930821
"Humane Society"	0.0921359
NAACP	0.0918626
CMA	0.091719
"Labor office"	0.0911955
"Board of Elections"	0.0899815
"U.S. Chamber of Commerce"	0.089375
"United Nations Population Fund"	0.0893477
"Department of Environmental Protection"	0.0886499
"Urban Institute"	0.087984
endocrinology	0.0874533
"Museum of Natural History"	0.087192
"Christian Coalition"	0.0870757
CWA	0.0868678
"Congressional Black Caucus"	0.0868414
"National Marine Fisheries Service"	0.086593
NARAL	0.0865019
"National Labor Relations Board"	0.0855859
"United Nations Drug Control Program"	0.0854619
"Field Poll"	0.0853769
"Olympic Council of Asia"	0.085349
"Drug Enforcement Administration"	0.0844575
"State Bureau of Environmental Protection"	0.0839236
"District Council"	0.0838545
"U.N. Office"	0.0834225
"Players Association"	0.0833465
"League of Conservation Voters"	0.0829836
"Common Cause"	0.0824713
"Political Department"	0.0818235
MSF	0.0814624
"Communications Workers of America"	0.0811841
"Human Rights Commission"	0.0811461
"Ethics Commission"	0.0810241
"U.S. Golf Association"	0.0809915
"Peace Corps"	0.0808724
"Asia Society"	0.0808612
"Air Transport Association"	0.080826
"Recording Industry Association of America"	0.0807717
"National Conference"	0.0804553
"Council on Foreign Relations"	0.0802258
AFL-CIO	0.0795534
"U.N. Environment Program"	0.0788385
"United Way"	0.0784083
"Liaison Office"	0.0782141
"National Economic Council"	0.0779658
"American Heart Association"	0.0774766
"American Federation"	0.0765093
"Criminal Investigation Department"	0.0763702
guild	0.0763215
"Environmental Defense Fund"	0.0762698
"American Red Cross"	0.0761799
"Lincoln Center Theater"	0.0761494
"United Steelworkers"	0.0759372
"Bank for International Settlements"	0.0755937
"National Association of Broadcasters"	0.0753335
"American Ballet Theater"	0.0751712
"Defense Fund"	0.0750374
"Mather Worldwide"	0.0749834
USATF	0.074841
"trade association"	0.0746049
"Center for Strategic"	0.0745515
CRI	0.0744089
"Salt Lake Organizing Committee"	0.0741341
"International Ski Federation"	0.0738093
Caritas	0.0734702
"Fallon McElligott"	0.0733102
"Democratic National Committee"	0.0729745
"Lincoln Center Festival"	0.0729383
"American Bar Association"	0.0728757
"Justice Center"	0.0728408
"Levi Strauss"	0.0728376
"Football Association"	0.07272
"International Fund"	0.0727049
"Civil Aviation Authority"	0.0726735
"Defense Agency"	0.0726651
chancellery	0.072581
"CBS Sports"	0.0724653
"Rockefeller University"	0.0721736
"Department of Commerce"	0.0720051
"Hong Kong Tourist Association"	0.071764
"Port Authority"	0.0713875
"Agency for International Development"	0.0711306
"Association of Flight Attendants"	0.071099
"International Tennis Federation"	0.071091
"Sydney Organizing Committee"	0.0709713
"Center on Budget"	0.070851
"General Logistics Department"	0.070795
"Audubon Society"	0.070576
"World Food Program"	0.0703681
"League of Women Voters"	0.0703504
"Office of Management and Budget"	0.0702425
"State Family Planning Commission"	0.0696109
"Commission on Human Rights"	0.0694217
UNICEF	0.0691035
"Nature Conservancy"	0.0691008
"Department of Corrections"	0.0690962
"Nevada Athletic Commission"	0.068978
"United Nations Children's Fund"	0.0689661
"Air Line Pilots Association"	0.0689524
"International Committee of Red Cross"	0.0687796
"work camp"	0.0684715
"Department of Public Health"	0.0684531
"United Nations Environment Program"	0.0684034
"customs service"	0.0683937
counterterrorism	0.0682505
"UN agency"	0.0682476
"Gartner Group"	0.0682209
"National Abortion and Reproductive Rights Action League"	0.0677913
"Federal Bureau of Investigation"	0.067688
HKTA	0.0672071
"Better Business Bureau"	0.0666012
"Local @@@@"	0.0663934
"Philadelphia Orchestra"	0.0662603
"U.N. Development Program"	0.0662214
"Brookings Institution"	0.0662121
"Education Department"	0.0661128
UNFPA	0.0660947
"National Science Foundation"	0.066051
"Jupiter Communications"	0.065768
"Organization Department"	0.065764
"American Bankers Association"	0.0654981
"National Transportation Safety Board"	0.0654436
))
("American Jews" (desc 2494.73) (sims
Quebecers	0.143611
"British people"	0.130101
Ohioan	0.0987649
Beijingers	0.0986979
Chicagoans	0.0980182
Chinese-Americans	0.0974246
Ecuadoreans	0.0968581
"New Jerseyans"	0.0949438
Muscovite	0.0920066
Chinese-Indonesians	0.0907202
Atlantans	0.0905805
Bostonians	0.0876815
"San Franciscans"	0.0819561
Asian-Americans	0.0805298
Hawaiians	0.0804722
Anglos	0.0800334
"Sri Lankans"	0.0793165
"Southern Democrats"	0.0782577
"South Carolinian"	0.0776041
filmgoers	0.0772209
"African Americans"	0.0755526
adoptees	0.075241
"Asian Americans"	0.0750083
Arab-Americans	0.0743239
Easterner	0.0738296
"New York Republicans"	0.0720205
Taiwanese	0.0718612
Londoner	0.0711729
Italian-Americans	0.0707467
"Kosovo Serbs"	0.0702034
Washingtonian	0.0699331
Montenegrins	0.0697159
evangelicals	0.0695563
Californian	0.0695523
Iowan	0.0691131
Briton	0.0667093
"little leaguer"	0.0666072
Jordanian	0.0657401
"New York Democrats"	0.0652967
"French people"	0.0651134
"New Englander"	0.0649872
"North Carolinian"	0.0645601
Cuban-Americans	0.0645467
sportswriters	0.0644054
Creationists	0.0642886
Afrikaner	0.064016
Panamanian	0.0639395
registrant	0.0638317
Missourian	0.0636758
enlistee	0.0636426
Parisian	0.0628455
theatergoer	0.0627888
Vermonter	0.0625134
filers	0.0619274
businesswomen	0.0617538
sixth-graders	0.0610692
Georgian	0.0609197
job-seekers	0.0607725
third-graders	0.0602881
"business executive"	0.0593185
Basques	0.0589767
moviegoer	0.0589405
townsfolk	0.0588446
e-tailers	0.0587939
"people of color"	0.0586102
"club member"	0.058397
"foster child"	0.0570432
"union member"	0.0570017
"Cuban Americans"	0.0568288
Minnesotan	0.0567929
multimillionaires	0.0564386
"House Republicans"	0.0564216
Southerner	0.0563684
Honduran	0.0563211
probationer	0.0562426
concertgoers	0.0561192
Floridian	0.0560395
dieters	0.0557766
Mexican-Americans	0.0554566
Mozambican	0.0553174
Ukrainians	0.0552407
"Orthodox Jews"	0.0549357
"beer drinker"	0.0549261
urbanites	0.0545989
Angelenos	0.0545303
drillers	0.0544117
Peruvian	0.0542309
Tibetans	0.0539186
Singaporean	0.053756
Guatemalan	0.0535189
criminologists	0.0533207
preschoolers	0.0525348
examinees	0.0522694
businesspeople	0.0522666
fourth-graders	0.0520463
exerciser	0.0519958
westerner	0.0519687
"job seeker"	0.0516662
theologian	0.0514286
drinker	0.0513718
mainlanders	0.0513675
Frenchmen	0.0510121
eighth-graders	0.0507441
Nicaraguan	0.0505861
chipmakers	0.0505332
"church member"	0.0504841
homebuyers	0.0504607
"Hispanic American"	0.0502855
do-it-yourselfers	0.0502646
Industrialist	0.05025
ifs	0.0502407
Navajos	0.0501249
diabetic	0.0500562
Venezuelan	0.0500221
"music lover"	0.0496361
Greeks	0.0493985
"market watcher"	0.0493281
holidaymaker	0.0492955
schoolers	0.0492419
policyholder	0.048888
"home buyer"	0.04872
skeptic	0.0486838
non-Jew	0.0483364
"stamp collector"	0.0482613
"economic expert"	0.0479451
Haitian	0.0477912
enrollee	0.0475168
"Wall Street analyst"	0.0475142
"Texas Democrats"	0.0474491
backbencher	0.0474218
"Kosovar Albanians"	0.0469805
Japanese-Americans	0.0468888
paleontologist	0.0467151
"union worker"	0.0466065
Virginian	0.0465978
freelancers	0.0462691
"South Koreans"	0.0458713
Lutheran	0.0458495
naysayer	0.0458465
policymakers	0.0458094
REITs	0.0457483
"corporate executive"	0.0455631
schoolchildren	0.0454725
Armenians	0.0454688
Kansan	0.0452063
"Earth's surface"	0.0451972
"Senate Republicans"	0.0449475
suburbanite	0.0448503
"heavy hitter"	0.0447361
"civic leader"	0.0446843
"labor leader"	0.0446741
Schmid	0.0444366
"small farmer"	0.0444313
techies	0.0441024
preservationists	0.0440853
franchisees	0.0440806
"business traveler"	0.0440333
angler	0.0439075
"Puerto Rican"	0.0438821
Islamists	0.0438688
goer	0.0438157
parolee	0.0437093
"married couple"	0.0436479
"university student"	0.0435809
aficionados	0.0435106
"genetic disease"	0.0433795
"card holder"	0.043326
nudist	0.0432253
obstetrician	0.0431865
"legal expert"	0.0430496
"art historian"	0.0429813
"New Zealander"	0.0429422
Irishmen	0.0429373
centenarian	0.0429052
hotelier	0.0427203
"political detainee"	0.0426721
"Member States"	0.0423939
billionaires	0.0421109
non-Muslims	0.0420692
"viewing audience"	0.042039
non-Social	0.0417707
"married woman"	0.0417625
"car dealer"	0.04167
worrier	0.0416242
worshipper	0.0415878
rollovers	0.0415779
conservationist	0.0415678
theorist	0.041562
herdsmen	0.0414376
achiever	0.0414231
Koreans	0.0413343
"Russian bank"	0.0412956
interviewee	0.0412023
laid-offs	0.0411033
churchgoer	0.0409914
payer	0.0409212
"newspaper editor"	0.0408074
sportsmen	0.040793
Northerner	0.0406574
ethicists	0.040614
))
("American Journal" (desc 2141.75) (sims
"New England Journal"	0.264266
Lancet	0.24076
"New York Review"	0.169347
"Washington Times"	0.167758
neurology	0.156121
"Le Figaro"	0.148441
"associate professor"	0.146492
JAMA	0.143658
"International Herald Tribune"	0.142581
"Atlantic Monthly"	0.136004
"Sydney Morning Herald"	0.132383
"New York Times Magazine"	0.131012
"Advertising Age"	0.130521
annals	0.129135
"Village Voice"	0.12687
"Atlanta Constitution"	0.123502
"Der Spiegel"	0.119307
Haaretz	0.118643
"Le Monde"	0.111136
"Philadelphia Inquirer"	0.110982
"New Straits Times"	0.108839
"Financial Times"	0.108743
"assistant professor"	0.107803
"Daily Telegraph"	0.105267
"New York Observer"	0.105013
"New York Post"	0.104096
"New York Daily News"	0.102961
"New Republic"	0.102528
Star-Ledger	0.102343
"Yediot Ahronot"	0.101279
"Guangming Daily"	0.101119
"Austin American-Statesman"	0.0984282
Esquire	0.0977692
"Daily Mail"	0.0955813
"Weekly Standard"	0.0955063
Granma	0.094304
Pediatrics	0.0940201
"Dallas Morning News"	0.0939112
"Chicago Tribune"	0.0930982
"USA TODAY"	0.092471
"Boston Herald"	0.0919608
"Straits Times"	0.090112
"Koha Ditore"	0.0897669
"San Francisco Chronicle"	0.0885563
"Wall Street Journal"	0.086865
Newsday	0.0866418
"International Society"	0.0851607
"Los Angeles Times"	0.0835114
gazette	0.0815712
"South China Morning Post"	0.0814846
telegraph	0.081212
"vanity fair"	0.0811398
"Washington Post"	0.0810026
"Arizona Republic"	0.0804817
almanac	0.0799366
"New York Times Book Review"	0.0790507
Newsweek	0.0787914
"Foreign Affairs"	0.0758168
"Sports Illustrated"	0.0757774
"Houston Chronicle"	0.0754061
"Rolling Stone"	0.0745486
Reforma	0.074126
"International Business Daily"	0.0738453
"Chinese Government Reception Committee"	0.0728187
"El Pais"	0.0706325
"Atlanta Journal"	0.0706239
"National Journal"	0.0702505
"National Geographic"	0.0701562
bulletin	0.0699356
Maariv	0.0696363
"TV guide"	0.0694507
"Consumer Reports"	0.0679907
"Kansas City Star"	0.0669806
Redbook	0.0668373
"Macao Daily News"	0.0668045
"Boston Globe"	0.0664991
Kommersant	0.0659121
"roll call"	0.0657598
"Palm Beach Post"	0.0643051
"Daily News"	0.063442
"Atlanta Journal-Constitution"	0.0627666
"Miami Herald"	0.0614631
"St. Louis Post-Dispatch"	0.0611587
yearbook	0.0609367
periodical	0.0590044
"Des Moines Register"	0.0589771
al-Hayat	0.0574486
"Sporting News"	0.0564526
"Chinese Society"	0.0562138
"Detroit News"	0.0547832
"Seattle Times"	0.0543446
"Detroit Free Press"	0.054079
"Business Times"	0.0535435
"Denver Post"	0.052752
"environmental science"	0.0523861
"trade publication"	0.0521128
"World Report"	0.0518021
"Martha Stewart Living"	0.0517963
"San Jose Mercury News"	0.0511511
"Moscow Times"	0.0506092
"Orange County Register"	0.0496143
"Hollywood Reporter"	0.049586
"reference work"	0.0479628
"Jerusalem Post"	0.0476542
"Guinness Book"	0.0466246
"Saturday Evening Post"	0.0455657
"Fast Company"	0.0451705
"Al Hayat"	0.0450291
"Seattle Post-Intelligencer"	0.0449466
OED	0.0448523
"Teen People"	0.0438431
"new edition"	0.0435672
"U.S. News"	0.0432693
"Business Weekly"	0.0425136
"El Mundo"	0.0424275
skewering	0.042411
Barron	0.0422881
"Business Week"	0.0418245
Macworld	0.0415858
MIAs	0.0413822
"Hartford Courant"	0.0411313
Elle	0.0402137
))
("American League" (desc 21726.1) (sims
"National League"	0.399748
NL	0.353436
al	0.249099
"major league"	0.20562
NFC	0.160352
league	0.159149
A.L.	0.147714
majors	0.145228
NHL	0.14365
"Western Conference"	0.135362
Pac-@@	0.133902
AFC	0.133223
NFL	0.123497
"Eastern Conference"	0.123402
"big league"	0.122778
WNBA	0.122753
"National Hockey League"	0.114198
ACC	0.11409
NBA	0.111695
"Big East"	0.111667
"Division I-AA"	0.109225
"Southeastern Conference"	0.108775
AL.	0.107301
baseball	0.106652
Pacific-@@	0.105506
ml	0.104144
"Big @@"	0.103592
"American League West"	0.102891
"NL Central"	0.102385
"National Basketball Association"	0.102001
"Big Sky"	0.101409
"AFC East"	0.100851
"AL West"	0.0989842
"National Football League"	0.0980621
Mets	0.0962442
"AL East"	0.0948567
"AFC West"	0.0943412
"AL Central"	0.0943203
ASTROS	0.0936542
"Red Sox"	0.093451
brave	0.0922719
"Central Division"	0.0922153
"National League West"	0.0916573
"World Series"	0.091641
"American League East"	0.091108
diamondback	0.0906494
Orioles	0.0892404
"NFC East"	0.088426
"International League"	0.0877964
"Big Sky Conference"	0.0874952
"Atlantic Coast Conference"	0.0872272
"minor league"	0.0871951
"NFC West"	0.0870953
mariner	0.086757
postseason	0.0856098
"Western Athletic Conference"	0.085291
"Atlanta Braves"	0.0851851
ABL	0.0850595
"NL West"	0.084691
AHL	0.084624
"NFC Central"	0.0840755
"Class AAA"	0.0840246
"NL East"	0.0839981
ALCS	0.0836724
dodger	0.0833035
"little league"	0.0832478
Bundesliga	0.0816142
Padre	0.0810706
WAC	0.0803424
"devil ray"	0.0802597
"Pacific Division"	0.0801869
"AFC Central"	0.0798983
"White Sox"	0.0798621
"National League Central"	0.0797341
AFL	0.0795884
"Anaheim Angels"	0.0790197
cub	0.078527
"All-Star Game"	0.0785237
ranger	0.0778721
CWS	0.0770936
A's	0.0767506
Cleveland	0.0760387
Phillies	0.0757327
"Winston Cup"	0.0754295
CBA	0.0751404
"Pittsburgh Pirates"	0.0747812
"Italian League"	0.0747738
Yankees	0.0745202
"blue jay"	0.0741173
Sox	0.0740771
"Los Angeles Dodgers"	0.0734435
Oakland	0.0734429
"Atlantic Division"	0.0726136
SEC	0.0720561
"Pacific Coast League"	0.0719616
Yankee	0.0709101
"New York Yankees"	0.0704722
"Boston Red Sox"	0.07009
ANAHEIM	0.0700508
"professional baseball"	0.0692971
Royals	0.0686407
"St. Louis Cardinals"	0.068596
Boston	0.0680127
"Tampa Bay"	0.06763
"College World Series"	0.0676283
"Premier League"	0.0671709
Montreal	0.0670015
"New York Mets"	0.0667458
IRL	0.0660487
interleague	0.0659637
Milwaukee	0.0657373
"Indy Racing League"	0.0656434
NLCS	0.0655022
marlin	0.0654302
"National League East"	0.0648996
"Houston Astros"	0.0648267
inning	0.0648122
"Eastern Division"	0.0647978
playoff	0.0645119
Baltimore	0.0643717
All-Star	0.0642619
"Conference USA"	0.064219
"Little League World Series"	0.0642024
"Cleveland Indians"	0.0641685
Giants	0.0637911
angel	0.06357
"TOMS RIVER"	0.0634105
"Baltimore Orioles"	0.0633344
LPGA	0.0625696
"Gold Glove"	0.0625474
"Top Fuel"	0.0621576
NCAA	0.061888
"Pan Ams"	0.061842
Cincinnati	0.0613997
"San Diego"	0.0611182
cardinal	0.0609343
NHRA	0.0607502
Atlanta	0.0606579
"West Regional"	0.0605245
"Colorado Rockies"	0.0601798
"St. Louis"	0.0600616
NASCAR	0.0598394
"Fed Cup"	0.0596065
"Cincinnati Reds"	0.0595963
"Busch Series"	0.0595299
"American Hockey League"	0.059342
"NASCAR Winston Cup"	0.0593031
Toronto	0.0593017
"Milwaukee Brewers"	0.0591307
at-bat	0.0589456
"Division @"	0.0585327
"Busch Grand National"	0.0583264
Rockies	0.0582271
bullpen	0.0581604
"Solheim Cup"	0.0578739
"Division Series"	0.0578532
"South Regional"	0.057709
"American League Championship Series"	0.0576779
Indian	0.0576186
post-season	0.0575591
"Texas Rangers"	0.0571943
Detroit	0.0571549
"NCAA Tournament"	0.0570469
"Minnesota Twins"	0.0569412
"Arizona Diamondbacks"	0.0567077
"Chicago Cubs"	0.0566419
"American Basketball League"	0.0564873
"Funny Car"	0.0564595
"home run"	0.0563683
brewer	0.0562196
"Gold Cup"	0.0561882
"NFL Europe"	0.0556629
"Detroit Tigers"	0.0555636
"Team USA"	0.0553971
"PGA Tour"	0.0553517
"Opening Day"	0.0550377
"major league season"	0.0547859
six-time	0.0547683
IHL	0.0544456
"first @@"	0.0542424
"Seattle Mariners"	0.0538233
pirate	0.0538083
"Chicago White Sox"	0.053749
"spring training"	0.0535141
Arizona	0.0533445
Pittsburgh	0.0533068
Seattle	0.0532824
Houston	0.0528889
Busch	0.0528719
"San Francisco Giants"	0.0528349
"Super Bowl"	0.0527845
WCC	0.0525808
"first six"	0.0524824
Philly	0.0524227
tourney	0.0522892
backstroke	0.0517693
"batting order"	0.0516989
Expo	0.0515497
eighth	0.0515467
"Game @"	0.0515273
))
("American League Championship Series" (desc 6652.13) (sims
ALCS	0.316532
"Division Series"	0.289082
"American League Division Series"	0.236135
"National League Championship Series"	0.181771
"World Series"	0.148552
"Game @"	0.131127
"AL East"	0.130621
"Western Conference Finals"	0.129136
"American League East"	0.124398
NLCS	0.121728
"Stanley Cup Finals"	0.114297
"NBA Finals"	0.104145
doubleheader	0.103134
"Boston Red Sox"	0.0977245
playoff	0.0972644
homestand	0.095046
"AL West"	0.0947382
"AL Central"	0.0869553
"American League West"	0.0847299
postseason	0.0844401
nightcap	0.0843926
opener	0.0826249
one-hitter	0.0817049
"New York Yankees"	0.0777345
no-hitter	0.076923
"exhibition game"	0.0753199
"All-Star Game"	0.075227
"Detroit Tigers"	0.0752108
"Little League World Series"	0.0739492
"playoff game"	0.0733876
"AFC Championship Game"	0.071072
"NL Central"	0.0701347
"Yankee Stadium"	0.0684576
Series.	0.0674038
"Cleveland Indians"	0.0671116
Filderstadt	0.0667639
"Alamo Bowl"	0.0663072
"AFC Central"	0.0658532
"perfect game"	0.0655478
"Subway Series"	0.0653004
"College World Series"	0.063659
"Baltimore Orioles"	0.0635983
"Wimbledon Tennis Championships"	0.0634657
"Super Bowl XXXIII"	0.0630019
"Red Sox"	0.0629945
"Game @."	0.0628389
post-season	0.0619184
"National League East"	0.0616789
"San Diego Padres"	0.0606346
no-decision	0.0603781
"Chinese Basketball League"	0.0603249
"European Swimming Championships"	0.0602732
"Orange Bowl"	0.0586253
"American League"	0.0576779
"Anaheim Angels"	0.057316
decider	0.0573085
"Toronto Blue Jays"	0.0572477
"St. Louis Cardinals"	0.0567006
Halle	0.0561386
"baseball game"	0.0556481
"NL East"	0.055524
"Miami Fusion"	0.0554555
"Atlanta Braves"	0.0553379
"New York Mets"	0.0552283
"Stockholm Open"	0.0550872
"Eastern Conference"	0.055063
"Oakland Athletics"	0.0549903
"Copa America"	0.0549713
matchup	0.0544786
Basle	0.0540909
semi	0.0540443
pennant	0.0540276
at-bat	0.0537428
"Round @"	0.0536883
ANAHEIM	0.0535464
quarterfinal	0.0533107
Kitzbuehel	0.0531499
"New York Liberty"	0.0528961
"exhibition season"	0.0528089
"World University Games"	0.052786
"sugar bowl"	0.0527469
"Texas Rangers"	0.052539
"Minnesota Twins"	0.0525178
Trondheim	0.0522272
"Kansas City Royals"	0.0517588
"Premier League"	0.0516577
"NFC Championship Game"	0.0515021
"Fenway Park"	0.0514955
"African Nations Cup"	0.0514373
"AFC West"	0.0513514
Lugano	0.0513447
first-round	0.0512012
"losing streak"	0.0510217
"Australian Open"	0.050661
majors	0.0504739
"All-Star Games"	0.050421
"National Invitation Tournament"	0.0504035
"cup final"	0.050371
"Houston Astros"	0.0500666
"spring training"	0.0500343
"night game"	0.049785
"Pedro Martinez"	0.0493266
"London Marathon"	0.0493188
"NCAA Tournament"	0.0490756
"Scarlet Knights"	0.0490545
"Cotton Bowl"	0.0485255
Hobart	0.0485077
Madras	0.048314
"Big Sky Conference"	0.0482852
"Chicago White Sox"	0.0481586
shutout	0.0477799
brawl	0.0476054
"NL West"	0.0475805
Hakuba	0.047449
"skiing race"	0.0473959
tie-break	0.0473742
Linz	0.0473125
"basketball league"	0.0472991
"New York-New Jersey MetroStars"	0.0471869
"Melbourne Park"	0.0467996
"Solheim Cup"	0.0467703
Dunedin	0.0467651
Falun	0.0466332
Fenway	0.0465868
"U.S. Senior Open"	0.0465347
"New York City Marathon"	0.0465217
"Montana State"	0.0464926
"NFC East"	0.046435
"Super Bowl XXXIV"	0.0460026
"Seattle Mariners"	0.045974
"International Hockey League"	0.0459693
"Gold Cup"	0.0459056
"World Cycling Championships"	0.0457415
"Iranian Foreign Ministry"	0.0457248
"South Regional"	0.0456781
"Central Division"	0.0456326
"musical chair"	0.0453827
"Dunhill Cup"	0.0453392
Sestriere	0.0452616
"Pan American Games"	0.0451429
"National League"	0.045098
tourney	0.0449951
"Turner Field"	0.0448053
"Champions League"	0.0445913
"Rose Bowl"	0.0445744
"Hopman Cup"	0.0444301
"Olympic Winter Games"	0.0442464
"Western Conference"	0.0442183
"Kickoff Classic"	0.0439973
"Nashville Predators"	0.0439713
Gelsenkirchen	0.0438635
tiebreaker	0.0438564
"Indian Wells"	0.0437505
"Arizona Diamondbacks"	0.0436158
"ATP Tour World Championship"	0.0434952
"Philadelphia Phillies"	0.0434924
"Turkish Daily News"	0.0433975
"Villa Park"	0.0433288
BUCCANEER	0.0433035
"Lipton Championships"	0.0432299
Heerenveen	0.0432054
"rest day"	0.0430975
"Secretary General Esmat Abdel-Meguid"	0.042748
"Chicago Cubs"	0.0426812
"Eastern Division"	0.0426721
"Atef Obeid"	0.0426092
"Washington Redskins"	0.0425032
"Fiesta Bowl"	0.0422534
A's	0.0422389
clincher	0.0421752
Foxboro	0.0420725
Super-G	0.0419289
"British Grand Prix"	0.0419098
"Paris Open"	0.0419076
WNBA	0.0417528
"French Open"	0.0414048
"World Athletics Championships"	0.0412676
"St Petersburg"	0.0411906
"European Championship"	0.0406151
"Home Run Derby"	0.0405807
"National League West"	0.0404868
"Israeli Cabinet"	0.0403555
outfield	0.0402226
"baseball season"	0.0402132
"Euro @@@@"	0.0401183
"Atlanta Thrashers"	0.0400923
))
("American League Division Series" (desc 1564.25) (sims
"Division Series"	0.376343
"American League Championship Series"	0.236135
ALCS	0.175436
"Western Conference Finals"	0.143044
"National League Championship Series"	0.122366
"musical chair"	0.107996
Series.	0.0956831
NLCS	0.0949273
"American League East"	0.0855498
"AL East"	0.0843891
doubleheader	0.0828451
"Stanley Cup Finals"	0.0819808
"Round @"	0.0753437
"Subway Series"	0.0656343
brinksmanship	0.0644963
homestand	0.0644231
"Little League World Series"	0.0643804
"National Invitation Tournament"	0.0608783
clincher	0.0573803
nightcap	0.0573079
"cup tie"	0.0560601
victimhood	0.0557136
season.	0.0552116
"American League West"	0.0530739
"exhibition season"	0.0510752
"triple play"	0.0497823
rainout	0.0496562
roulette	0.049515
"AL West"	0.0495069
post-season	0.049473
"civic duty"	0.0484869
"Davis Cup World Group"	0.0470611
"starting line-up"	0.0468254
interleague	0.0461713
regionals	0.0454511
"Midwest Regional"	0.0453312
"South Regional"	0.0452762
pogrom	0.0450737
"night game"	0.0450479
"Kickoff Classic"	0.0448018
"College World Series"	0.0445632
"basketball season"	0.0445133
postseasons	0.0443214
no-decision	0.0438944
"World Group"	0.0438022
shootaround	0.0431552
match-ups	0.0428081
"Buick Classic"	0.0427408
"West Regional"	0.0426351
"World Women"	0.0412172
archrivals	0.0406988
solitaire	0.0405868
"two pitchers"	0.040349
"camp site"	0.0400725
))
("American League East" (desc 2430.24) (sims
"AL East"	0.374985
"National League West"	0.32758
"National League East"	0.317194
"American League West"	0.305836
"AFC West"	0.267526
"National League Central"	0.253757
"NL West"	0.253226
"NL East"	0.245015
"AL West"	0.242283
"Central Division"	0.238328
"NFC West"	0.233599
"Atlantic Division"	0.220777
"NFC Central"	0.21541
"AL Central"	0.21158
"Pacific Division"	0.197806
"NL Central"	0.195786
"AFC East"	0.194504
"Eastern Division"	0.193711
"NFC East"	0.191865
"Northeast Division"	0.189988
"SEC East"	0.181281
"AFC Central"	0.174399
"Big Sky Conference"	0.161304
"Eastern Conference"	0.154986
"Western Conference"	0.147781
Pacific-@@	0.129271
"American League Championship Series"	0.124398
"Big Sky"	0.115446
"Western Open"	0.113144
"Italian League"	0.109042
"first cup"	0.106714
CWS	0.10659
"Southwest Conference"	0.105385
"Little League World Series"	0.104188
"Premier League"	0.102232
Bundesliga	0.101149
"Grand National"	0.100193
A.L.	0.100008
ALCS	0.09917
"Big West"	0.0980884
"Conference USA"	0.0968902
"Western Athletic Conference"	0.0963841
"World Championship"	0.0940363
"MLS Cup"	0.093072
EuroLeague	0.0928346
"Southeastern Conference"	0.0926354
"American League"	0.091108
WCC	0.090719
Pac-@@	0.0897797
"Division Series"	0.0892395
"South Regional"	0.0877728
"National League"	0.0877705
NLCS	0.0875162
"Group @"	0.0873113
"Atlantic Coast Conference"	0.0871933
"American League Division Series"	0.0855498
Super-G	0.0845341
"Big @@"	0.0834609
"League Cup"	0.0822715
"Top Fuel"	0.0808346
"Funny Car"	0.0800807
"Hong Kong Open"	0.0770216
AFC	0.0763188
"American Hockey League"	0.07629
"Nations Cup"	0.0754042
ACC	0.0753857
constructor	0.0748742
"Copa America"	0.0748194
"U.S. Senior Open"	0.0745541
"Midwest Regional"	0.0742909
"first nine"	0.0738745
"English Premier League"	0.0737932
NFC	0.0730366
"European Cup"	0.0723297
"Fed Cup"	0.0716977
"Big East"	0.0710725
"Busch Series"	0.0707592
"won eight"	0.0706104
"Division I-AA"	0.0705038
"Busch Grand National"	0.0693136
NL	0.0689849
"College World Series"	0.0689461
decathlon	0.0689201
BCS	0.0689092
"Pan Ams"	0.0681394
"Federation Cup"	0.0675469
best-of-@	0.067545
"Group A."	0.0667829
"Chinese Basketball League"	0.0666041
"East Regional"	0.0660396
slalom	0.0657995
"African Cup"	0.0656124
"Tour de France"	0.0653042
"Asian Cup"	0.0651774
"West Regional"	0.0649209
"American Football League"	0.0646748
"Dunhill Cup"	0.064444
"World League"	0.0642085
"Cup Winners Cup"	0.0641342
"Group B."	0.0640236
"United States Open"	0.0636727
"Davis Cup World Group"	0.0635792
"National Invitation Tournament"	0.0632831
"London Marathon"	0.0632026
"Solheim Cup"	0.0627118
"ski jumping"	0.0620626
cruiserweight	0.0618092
"NASCAR Winston Cup"	0.0614264
"batting order"	0.0607514
"Hopman Cup"	0.0602304
"won two"	0.0601508
wildcard	0.0601067
GP	0.0600173
Iditarod	0.0595789
"Uber Cup"	0.0590879
"International League"	0.0589672
ml	0.0589589
"Pacific Coast League"	0.0589009
"Le Mans"	0.0587393
"Japan Open"	0.0586642
"World Group"	0.0586187
"Oak Tree"	0.058296
"Gold Cup"	0.0581236
"Paris Open"	0.058115
Busch	0.0578124
"U.S. Amateur"	0.0578037
"African Nations Cup"	0.057535
AHL	0.0574323
"World Boxing Association"	0.0573988
C-USA	0.0570034
"double boiler"	0.0569896
"basketball league"	0.0568811
"won seven"	0.0564732
"European Champions Cup"	0.0563645
"Canadian Open"	0.0561299
backstroke	0.0559066
biathlon	0.0558589
WBO	0.0557198
"first five"	0.0550747
"Bowl Championship Series"	0.0550617
"Winston Cup"	0.0548972
"three-day event"	0.0546909
WAC	0.0546078
"Swiss Open"	0.0543572
"second tour"	0.0542424
pennant	0.0539314
"Indy Racing League"	0.0537523
"first four"	0.053734
Ironman	0.0536321
"Continental Basketball Association"	0.053608
pentathlon	0.053594
PBA	0.0535783
"first seven"	0.05344
"won nine"	0.0534391
"Juvenile Fillies"	0.053392
"Ivy League"	0.0532746
Heptathlon	0.0530779
"European Championship"	0.0530737
"Division @"	0.0530545
"spelling bee"	0.0530153
"Champions Cup"	0.0526917
Serie	0.0526032
"Daytona @@@"	0.052504
"US Open"	0.0521625
steeplechase	0.051638
sweepstake	0.0516239
"Louis Vuitton Cup"	0.0516216
"next @@"	0.0516094
AFL	0.0516088
"Boston Marathon"	0.051417
"Cy Young Awards"	0.0513931
"World Boxing Council"	0.0512594
tiebreaker	0.0511097
"UEFA Cup"	0.0509053
"won four"	0.0507911
"Maurier Open"	0.0507818
"National Basketball Association"	0.0506611
Criterium	0.0505041
CAA	0.0501673
"won six"	0.0500563
distaff	0.0499717
"Libertadores Cup"	0.0496961
"first minute"	0.0489093
"Thomas Cup"	0.0486913
"Italian Cup"	0.0485287
interleague	0.048463
"Sunshine State"	0.0482713
"junior lightweight"	0.0480921
IRL	0.0480242
NCAAs	0.0477963
"won five"	0.0476588
"National Collegiate Athletic Association"	0.0476513
"British Grand Prix"	0.04734
crosstown	0.0472996
"Sudirman Cup"	0.0472533
"Canadian Alliance"	0.0470091
"won one"	0.0468567
Lipton	0.0468271
ATP	0.0467546
hardcourt	0.0466834
))
("American League West" (desc 3055.49) (sims
"AL West"	0.519233
"National League West"	0.356234
"NL East"	0.338676
"NL West"	0.327833
"AFC West"	0.309619
"American League East"	0.305836
"National League East"	0.302578
"AL Central"	0.296626
"Atlantic Division"	0.296287
"NL Central"	0.295837
"AL East"	0.289262
"Central Division"	0.282601
"NFC East"	0.262097
"National League Central"	0.260951
"NFC West"	0.249288
"AFC East"	0.239072
"Pacific Division"	0.232694
"NFC Central"	0.231532
"AFC Central"	0.20924
"Eastern Division"	0.187939
"Western Conference"	0.179198
Pacific-@@	0.175868
"SEC East"	0.17308
"Eastern Conference"	0.171505
"Big Sky Conference"	0.170595
"Northeast Division"	0.151453
"Italian League"	0.143913
"Little League World Series"	0.143021
cruiserweight	0.136539
"Big Sky"	0.126908
Bundesliga	0.125276
"Big @@"	0.119701
"Premier League"	0.115478
Pac-@@	0.113881
"Western Open"	0.113379
"junior lightweight"	0.112902
WCC	0.112182
"Busch Grand National"	0.112118
"junior welterweight"	0.11175
"Conference USA"	0.111402
"Top Fuel"	0.111094
"first cup"	0.110156
"MLS Cup"	0.109187
ACC	0.109178
"Division Series"	0.10853
"World Championship"	0.10713
"junior middleweight"	0.106851
"Grand National"	0.106017
"Funny Car"	0.105987
"Southwest Conference"	0.105064
"United States Open"	0.104785
NFC	0.103723
"Big West"	0.103485
"American League"	0.102891
"Atlantic Coast Conference"	0.102357
"Southeastern Conference"	0.102232
Super-G	0.102032
"Western Athletic Conference"	0.101155
"NASCAR Winston Cup"	0.10023
"National League"	0.100226
"Busch Series"	0.0967227
WBO	0.0966846
"Pan Ams"	0.096027
flyweight	0.0956542
"Japan Open"	0.0955153
AFC	0.0952828
"Gold Cup"	0.0943938
"U.S. Amateur"	0.0943465
"College World Series"	0.0931928
EuroLeague	0.0928709
NL	0.0908516
"U.S. Senior Open"	0.0889187
bantamweight	0.0883926
"World Boxing Council"	0.0882143
"South Regional"	0.0875704
"European Cup"	0.0873289
A.L.	0.0872736
constructor	0.0871118
"London Marathon"	0.0868902
Iditarod	0.0867902
WAC	0.0867012
"Western Conference Finals"	0.0864107
"Big East"	0.086105
"World Boxing Association"	0.0858024
"Division @"	0.0848069
"American League Championship Series"	0.0847299
"light heavyweight"	0.0846844
slalom	0.084581
decathlon	0.0844823
"Group @"	0.0833558
"European Champions Cup"	0.0832073
"West Regional"	0.0831473
"Ivy League"	0.0825438
"Nations Cup"	0.0810612
"International Boxing Federation"	0.080985
"National Invitation Tournament"	0.0794117
"League Cup"	0.0793381
"Fed Cup"	0.0788068
"Tour de France"	0.0785231
CWS	0.0785011
ALCS	0.0776348
featherweight	0.0768928
Busch	0.0765082
"Copa America"	0.076036
"Oak Tree"	0.0758454
"F.A Cup"	0.0755234
"Winston Cup"	0.0752236
Lipton	0.0750972
"ski jumping"	0.0748322
backstroke	0.0745378
Heptathlon	0.0743403
fide	0.073673
"Hong Kong Open"	0.0735065
"UEFA Cup"	0.0734633
"spelling bee"	0.073084
"won eight"	0.07183
"Indy Racing League"	0.0716074
ml	0.071132
"FA Cup"	0.0710255
"Round @"	0.0710134
NHRA	0.0708207
"Le Mans"	0.070806
"US Open"	0.070755
"World Series"	0.0705485
"New York City Marathon"	0.0700612
Brickyard	0.0699832
IRL	0.0696445
WBA	0.0691048
"English Premier League"	0.0690762
"Pan Pacific"	0.0687931
"match play"	0.0687796
"Stanley Cup"	0.0687179
"Maurier Open"	0.0685054
AHL	0.0683224
"Boston Marathon"	0.0678889
"Canadian Open"	0.0670981
"African Cup"	0.0669201
best-of-@	0.0665469
"Asian Cup"	0.0664148
NLCS	0.0662704
"Hopman Cup"	0.0662431
"Midwest Regional"	0.0661956
"first nine"	0.0661801
"won four"	0.0661055
pentathlon	0.0660043
"won seven"	0.06596
"World League"	0.0658086
"Canadian Alliance"	0.0657724
WBC	0.0655194
"Uber Cup"	0.0654009
"South American"	0.0651976
"East Regional"	0.0651736
Giro	0.0649456
"Division I-AA"	0.0649242
"Hollywood Gold Cup"	0.0648132
pennant	0.0642852
"Cup Winners Cup"	0.0641215
welterweight	0.0639231
"NBA Finals"	0.0638769
"Home Run Derby"	0.0634773
"Libertadores Cup"	0.0632975
steeplechase	0.0630227
"Juvenile Fillies"	0.063015
Criterium	0.0629243
Premiership	0.0628998
"Dunhill Cup"	0.0627815
distaff	0.0624515
Heisman	0.0622199
tie-break	0.0620483
"Nissan Open"	0.0619988
"triple crown"	0.0617601
"won six"	0.0616907
WNBA	0.0612467
"Sunshine State"	0.0611973
al	0.06096
"won three"	0.060716
"International League"	0.0601602
"Eclipse Award"	0.0598136
"Continental Basketball Association"	0.0596933
freestyle	0.0593764
Series.	0.0590812
Ironman	0.0590773
"Daytona @@@"	0.0589489
"won nine"	0.058852
under-@@	0.0588489
GP	0.058815
Futurity	0.0587083
WTA	0.0585263
Petkovsek	0.0583535
AFL	0.0583332
"high bar"	0.0583326
"British Open"	0.0582413
PGA	0.0578302
hardcourt	0.0576085
"Italian Cup"	0.05732
"Solheim Cup"	0.0573044
"Indy @@@"	0.0572368
"won two"	0.05714
"sugar bowl"	0.0568896
biathlon	0.0568288
))
("American Legion" (desc 2315.1) (sims
VFW	0.261061
"National Council of La Raza"	0.144678
"National Association of Broadcasters"	0.119984
"National Education Association"	0.110477
"Human Rights Campaign"	0.110164
"Log Cabin Republicans"	0.102166
"National Organization"	0.0998068
"National Urban League"	0.0997849
"Anti-Defamation League"	0.0990939
guild	0.0979787
"Communications Workers of America"	0.0961974
"American Bar Association"	0.0946673
"American Jewish Committee"	0.0946408
"League of Women Voters"	0.0928936
"Special Forces"	0.0926189
"American Bankers Association"	0.0912784
"Board of Elections"	0.0903965
"Christian Coalition"	0.0898743
"National Association"	0.0896846
AARP	0.0882559
"Consumer Federation"	0.0863431
NAACP	0.0854441
"Sierra Club"	0.0846397
Hynes	0.0846201
"Rainbow/PUSH Coalition"	0.083658
ILO	0.0819663
ACLU	0.0816662
"Special Olympics"	0.0816046
"Indonesian Armed Forces"	0.0797247
"Congressional Black Caucus"	0.0788719
"American Association of Retired Persons"	0.0779694
"American Civil Liberties Union"	0.0774971
Mensa	0.077365
"National Republican Congressional Committee"	0.0769321
"Allied Pilots Association"	0.0765913
AFL-CIO	0.0765098
"Republican Leadership Council"	0.075973
KPA	0.0754693
"Southern Poverty Law Center"	0.0753715
"Association of Flight Attendants"	0.0751238
"Cuban American National Foundation"	0.0743157
"American Federation"	0.0737226
ADL	0.0719897
"Handgun Control"	0.0717291
"National Federation"	0.0714249
UMNO	0.0710921
"Operation Rescue"	0.070559
"Texas Department of Public Safety"	0.0698421
ABA	0.0692452
"Ethics Commission"	0.0692431
"Independence Party"	0.0679708
"National Alliance"	0.0678882
"Indonesian Military"	0.0677963
"Air Line Pilots Association"	0.067138
"Handgun Control Inc."	0.0670994
"Port Authority of New York"	0.0670105
"American Red Cross"	0.0666619
"American Heart Association"	0.0653915
poly	0.0648441
Darnell	0.0646842
"Salvation Army"	0.0646056
PTA	0.0645415
UPU	0.0644862
"Democratic Senatorial Campaign Committee"	0.0642546
Greenpeace	0.0642311
"Human Rights Commission"	0.0641339
AAA	0.0639656
Hayworth	0.0638951
"Center for Science"	0.0633458
"U.S. Immigration and Naturalization Service"	0.0633295
Ciampi	0.0631918
"International Brotherhood of Electrical Workers"	0.0627829
"Royal Ulster Constabulary"	0.0625874
"Democratic Congressional Campaign Committee"	0.0621282
"Amnesty International"	0.062099
"Albanian Kosovo Liberation Army"	0.0618277
"People's Democratic Party"	0.0616703
"Orange Order"	0.0616048
"Urban League"	0.06128
"National League for Democracy"	0.0610109
"National Rifle Association"	0.0606184
"Parti Quebecois"	0.0603072
gendarmerie	0.060124
TrustE	0.0599306
"girl scout"	0.059907
LRA	0.0597558
"Russian Navy"	0.0596396
"U.S. Soccer Federation"	0.0595941
"Department of Corrections"	0.059503
"City Ballet"	0.0593797
"Colored People"	0.0590628
"Islamic Revolutionary Guards Corps"	0.0590558
"Consumers Union"	0.058758
"National Audubon Society"	0.0587241
"Port Authority"	0.0586081
"American Medical Association"	0.0584131
"Democratic Leadership Council"	0.0584095
"American Lung Association"	0.0583998
"blue angel"	0.0582937
"Humane Society"	0.0582444
"Alcoholics Anonymous"	0.0581083
"Delta Force"	0.0580622
"New York Civil Liberties Union"	0.057865
Royce	0.0573465
"secret society"	0.0573171
"British Army"	0.0570639
"Russian Space Agency"	0.0567752
DLC	0.0567015
"Commission on Presidential Debates"	0.0564543
"World Jewish Congress"	0.0560727
"International Brotherhood"	0.0559705
NEA	0.0558316
"Federal Emergency Management Agency"	0.0557171
"Implementation Force"	0.0556656
"United Malays National Organization"	0.0556415
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RRA	0.055005
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IPU	0.0547988
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USATF	0.0544328
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IAF	0.054251
AFL	0.0542207
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PAC	0.0539478
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WNBF	0.0535049
NRA	0.0533819
snooker	0.0531145
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mujahedeen	0.052437
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CEC	0.0523389
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"National Conference"	0.0521354
"Health and Human Services Department"	0.0519251
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"stamp collector"	0.0518326
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Galvin	0.0513816
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Amway	0.0511818
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"Royal Shakespeare Company"	0.0511506
Lakas	0.0510914
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CMAG	0.0509464
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"Revolutionary Guards"	0.0504783
"Screen Actors Guild"	0.0504072
"Livent Inc."	0.0503285
TDC	0.050328
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Oxfam	0.0502963
RUC	0.0502867
TVM	0.0501968
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RPR	0.0498169
"U.S. Chamber of Commerce"	0.0497652
"U.N. Environment Program"	0.0497345
USOC	0.0497224
"George E. Pataki"	0.0496793
UNESCO	0.0495936
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NLRB	0.0495713
"Agriculture Ministry"	0.0495676
"International Committee"	0.0493527
NPA	0.0493525
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"Mormon Church"	0.0493193
SCLC	0.0493
karaoke	0.049282
"U.S. Olympic Committee"	0.0490921
Teamsters	0.0490899
"Dow Jones &AMP; Co."	0.0490431
"Families USA"	0.0489358
"Cactus League"	0.0487192
CWA	0.0486962
Wyeth-Ayerst	0.0485831
SBA	0.0485379
"Planned Parenthood"	0.0484628
"Audubon Society"	0.0483872
"International Association of Machinists"	0.0483839
OSHA	0.0482587
))
("American Lindsay Davenport" (desc 2192.66) (sims
"Russian Yevgeny Kafelnikov"	0.348879
"Arantxa Sanchez Vicario"	0.316904
"Mary Pierce"	0.307894
"American Chanda Rubin"	0.302335
"Monica Seles"	0.288899
"Arantxa Sanchez-Vicario"	0.285842
"Dominique Van Roost"	0.280118
"Anke Huber"	0.279689
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"Conchita Martinez"	0.276219
"Iva Majoli"	0.269429
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"Patty Schnyder"	0.2648
"Jana Novotna"	0.261061
"Amanda Coetzer"	0.258791
"Venus Williams"	0.246717
"American Andre Agassi"	0.241487
"American Pete Sampras"	0.237372
"Felix Mantilla"	0.233157
"Sandrine Testud"	0.22954
"American Michael Chang"	0.229264
"Chanda Rubin"	0.226691
"Thomas Enqvist"	0.225329
"Irina Spirlea"	0.223931
"Kimiko Date"	0.223583
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"Carlos Moya"	0.220342
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"Thomas Muster"	0.217138
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"Patrick Rafter"	0.209416
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"Wayne Ferreira"	0.209284
"Marc Rosset"	0.208323
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"Jason Stoltenberg"	0.203137
"Karol Kucera"	0.202856
"Greg Rusedski"	0.202113
"Briton Greg Rusedski"	0.198345
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"Magnus Norman"	0.195368
"American Todd Martin"	0.194456
"Ye Zhaoying"	0.192533
"Albert Costa"	0.190336
"Tim Henman"	0.190208
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"Peter Gade Christensen"	0.188492
"Natasha Zvereva"	0.188271
"Petr Korda"	0.18472
"Andre Agassi"	0.184446
"Barbara Schett"	0.182221
"Cedric Pioline"	0.181662
"Alberto Berasategui"	0.18103
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"Nicolas Kiefer"	0.179438
"Todd Woodbridge"	0.176494
"Mark Philippoussis"	0.176197
"Sergi Bruguera"	0.174666
"Ai Sugiyama"	0.174036
"Todd Martin"	0.17377
"Peter Nicol"	0.172979
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"Gong Zhichao"	0.172624
"Albert Portas"	0.172221
"Camilla Martin"	0.172187
"Amelie Mauresmo"	0.172142
"Byron Black"	0.171285
"Judith Wiesner"	0.171236
"Sanchez Vicario"	0.170892
Davenport	0.16854
"Anna Kournikova"	0.168159
"Sarah Pitkowski"	0.166903
"Ruxandra Dragomir"	0.16644
"Mary Joe Fernandez"	0.166075
"Andrei Medvedev"	0.165344
"Pete Sampras"	0.165253
"Sabine Appelmans"	0.163213
"Jim Courier"	0.160994
Seles	0.159636
"Lleyton Hewitt"	0.15755
"Amy Frazier"	0.15718
Sanchez-Vicario	0.156915
"Kong Linghui"	0.156599
Henman	0.15637
"Richard Fromberg"	0.156132
"Boris Becker"	0.153479
"Magdalena Maleeva"	0.152706
"Magnus Gustafsson"	0.15263
Kafelnikov	0.151856
"Elena Likhovtseva"	0.151751
"Li Fang"	0.15077
Tauziat	0.149097
"Heryanto Arbi"	0.148909
"Lisa Raymond"	0.147966
"Joko Suprianto"	0.147479
"Fabrice Santoro"	0.147469
"Henrieta Nagyova"	0.146707
"Jan-Ove Waldner"	0.146336
Clavet	0.146025
"Andrea Gaudenzi"	0.145616
"Tommy Haas"	0.145211
"Arnaud Boetsch"	0.145018
"Rodney Eyles"	0.144823
Enqvist	0.144444
"Pat Rafter"	0.143868
Hingis	0.14317
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"Fung Permadi"	0.141461
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"Silvia Farina"	0.139085
"Ge Fei"	0.138158
"Liu Guoliang"	0.137944
Siemerink	0.137574
rios	0.136917
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"Li Ju"	0.134885
"Stefan Edberg"	0.1346
Ivanisevic	0.134439
"Naoko Sawamatsu"	0.134237
"Carlos Costa"	0.133839
"Dominik Hrbaty"	0.133786
"Mia Audina"	0.13309
Corretja	0.132821
"Jennifer Capriati"	0.132769
"MaliVai Washington"	0.132357
Kuerten	0.130974
"Marat Safin"	0.130816
Kournikova	0.130579
Moya	0.129044
"Kenneth Carlsen"	0.128948
"Xia Xuanze"	0.128782
"Magnus Larsson"	0.128576
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Agassi	0.126775
"Nathalie Dechy"	0.126439
"Chris Woodruff"	0.126417
"Davide Sanguinetti"	0.125303
Novotna	0.124538
"Dong Jiong"	0.123382
"Deng Yaping"	0.12265
Zvereva	0.122096
Coetzer	0.120878
"Jorgen Persson"	0.120203
"Fernando Meligeni"	0.11943
Rosset	0.1192
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"Gong Ruina"	0.118602
Hendrawan	0.118594
"Van Roost"	0.118332
"Jean-Philippe Gatien"	0.116998
"Richey Reneberg"	0.116644
"Mirjana Lucic"	0.116413
"Scott Draper"	0.116071
"Vincent Spadea"	0.115959
"Jacco Eltingh"	0.115551
Ulihrach	0.115224
"Taufik Hidayat"	0.114715
"Christian Ruud"	0.114655
"David Prinosil"	0.113362
Ferreira	0.112925
Majoli	0.112049
"Alex O'Brien"	0.111186
Palmeiras	0.111139
"Susi Susanti"	0.111106
"Jerome Golmard"	0.110409
"Tar Heels"	0.1104
Dosedel	0.109149
"Ong Ewe Hock"	0.107912
Testud	0.107784
"Hicham Arazi"	0.107649
"Tamarine Tanasugarn"	0.107465
"Yayuk Basuki"	0.106994
Schett	0.106668
"Nicolas Escude"	0.106656
"Sjeng Schalken"	0.106394
"Nicolas Lapentti"	0.105973
"Wang Nan"	0.105936
"Younes El Aynaoui"	0.105694
"Wang Liqin"	0.105477
Susanti	0.105096
Krajicek	0.105023
Mauresmo	0.105013
"Allen Johnson"	0.104916
Sampras	0.104851
"Le Jingyi"	0.104743
"Filip Dewulf"	0.10466
Mantilla	0.103079
Rusedski	0.102569
"Brett Steven"	0.10218
Bjorkman	0.101197
"Vladimir Samsonov"	0.101004
Dragomir	0.10094
"Arnaud Clement"	0.10086
"Sargis Sargsian"	0.100259
))
("American Lung Association" (desc 1384.47) (sims
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"American Cancer Society"	0.174687
"National Association"	0.162214
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"American Jewish Committee"	0.145996
"Audubon Society"	0.143277
"Anti-Defamation League"	0.143167
"American Civil Liberties Union"	0.141892
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NAACP	0.139403
"Motion Picture Association of America"	0.138882
"Association of Flight Attendants"	0.135149
"National Organization"	0.134974
"Humane Society"	0.129841
"Handgun Control"	0.128635
"Urban League"	0.12731
ACLU	0.126957
"Air Transport Association"	0.126944
"Cuban American National Foundation"	0.126119
"Democratic Congressional Campaign Committee"	0.125747
"American Medical Association"	0.124051
"World Wildlife Fund"	0.117606
"Planned Parenthood"	0.116683
"Sierra Club"	0.116458
"Human Rights Campaign"	0.116238
"World Jewish Congress"	0.115765
"Log Cabin Republicans"	0.114643
"International Rescue Committee"	0.114156
"Southern Poverty Law Center"	0.113441
"Securities Industry Association"	0.111329
SCLC	0.110044
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"Amnesty International"	0.106839
"Sydney Organizing Committee"	0.106377
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"Alcoholics Anonymous"	0.104927
"Recording Industry Association of America"	0.104581
Greenpeace	0.10368
"Air Line Pilots Association"	0.103295
"Center for Science"	0.102521
"Rainbow/PUSH Coalition"	0.101823
"U.S. Chamber of Commerce"	0.101769
"Handgun Control Inc."	0.101436
"Atlanta Committee"	0.101015
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"American Psychological Association"	0.0998282
"National Federation"	0.0997249
"National Republican Congressional Committee"	0.0990856
"American Petroleum Institute"	0.0989049
"National Association of Realtors"	0.0988034
"Nature Conservancy"	0.0985571
NCI	0.0978561
"National Association of Manufacturers"	0.0975872
"National Cancer Institute"	0.0970858
"Families USA"	0.0967794
"Consumer Federation"	0.0938704
AARP	0.0936363
"Catholic Charities"	0.0934806
"Airport Authority"	0.0927698
"Board of Elections"	0.0923889
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"Democratic Senatorial Campaign Committee"	0.0902515
YankeeNets	0.0899193
"English Football Association"	0.0897061
"Wine Institute"	0.0896725
"Human Rights Watch"	0.0895562
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"Federal Emergency Management Agency"	0.0890639
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"Violence Policy Center"	0.0877262
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UNAIDS	0.0868367
KKK	0.0858994
"Christian Coalition"	0.0858311
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"U.S. Immigration and Naturalization Service"	0.084094
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"League of Women Voters"	0.0833328
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MetLife	0.0825718
ADL	0.0824271
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ICBC	0.0809117
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"Koch Industries"	0.0791607
"Democratic Leadership Council"	0.0785989
"European Bank for Reconstruction"	0.0785566
"National Council of La Raza"	0.078098
AFL-CIO	0.0775053
"Speaker Ali Akbar Nateq-Nouri"	0.0771554
"AMR Corp."	0.0770804
"Environmental Defense Fund"	0.0766207
CPSC	0.0765458
"Department of Health and Human Services"	0.0764196
"United Way"	0.0764048
"Con Edison"	0.0763313
"Gulf Air"	0.0762471
"NFL Players Association"	0.0762242
"Blue Cross"	0.0760074
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"Columbia Records"	0.0756525
"National Marine Fisheries Service"	0.0752381
USATF	0.0750556
"Health and Human Services Department"	0.0749458
"Salt Lake Organizing Committee"	0.0746368
"Department of Commerce"	0.0744741
"Kaiser Permanente"	0.0739768
"National Democratic Alliance"	0.0736995
"Coca-Cola Enterprises"	0.0734388
"Symantec Corp."	0.073332
"National Conference"	0.072871
"Department of Public Safety"	0.072735
"Royal Bank"	0.0725306
"Health Care Financing Administration"	0.0718275
"Main Events"	0.0716943
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guild	0.0710488
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"Sara Lee"	0.0708957
"Agriculture Ministry"	0.0708862
NCR	0.0706187
"Chevron Corp."	0.0705529
TIAA-CREF	0.0704463
"U.S. Commerce Department"	0.0703839
SAirGroup	0.0703623
"trade association"	0.0703347
"Agriculture Department"	0.0703212
"Consumer Product Safety Commission"	0.0700828
"Electronic Frontier Foundation"	0.0697164
CDC	0.0696208
Strauss-Kahn	0.0695519
CCF	0.0695194
"Phelps Dodge"	0.0692693
"Republican National Committee"	0.0692687
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"Department of Corrections"	0.0690273
PTA	0.0688011
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"Army Corps"	0.0684914
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ACOG	0.0682158
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CCB	0.06808
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HKMA	0.0678949
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OCA	0.0672528
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MSF	0.066808
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Litton	0.0657967
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PICC	0.0656864
SDS	0.0656582
Instinet	0.0656025
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"National Trust"	0.0650524
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audubon	0.06462
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"interim committee"	0.0641924
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Emulex	0.0640271
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Medtronic	0.0632048
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Eappens	0.0629458
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"Center for Responsive Politics"	0.0629025
Comelec	0.0628743
"Asahi Shimbun"	0.0627936
"UAL Corp."	0.0623049
"U.S. Olympic Committee"	0.062225
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("American Medical Association" (desc 7017.27) (sims
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ama	0.197297
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"Recording Industry Association of America"	0.106078
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AARP	0.0976897
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CDC	0.093776
"Handgun Control"	0.0931734
"Commission on Elections"	0.0930753
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NRA	0.0915097
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UNAIDS	0.0847141
NAACP	0.084181
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EOHR	0.0816031
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APA	0.0805919
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WEF	0.0798104
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"Census Bureau"	0.07786
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"Environmental Protection Agency"	0.0768846
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ABA	0.0761796
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UNESCO	0.0754704
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ACLU	0.0728628
HKMA	0.0724655
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ILO	0.0712877
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Lancet	0.0689718
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OECD	0.0682099
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IPU	0.0678484
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NEA	0.0672805
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FTC	0.066979
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"International Labor Organization"	0.0666931
"National Geographic Society"	0.0666355
federation	0.0663177
"Department of Energy"	0.0661499
"Health Department"	0.0660873
Eurostat	0.066001
"American Bankers Association"	0.0659932
"District Council"	0.0659601
"Iraqi National Congress"	0.0658332
"Modern Library"	0.0657776
"Clinton Administration"	0.0655547
"Department of Health"	0.0655205
"Southeastern Legal Foundation"	0.0654892
"National Association of Securities Dealers"	0.0654549
"State Department"	0.065298
"Salvation Army"	0.0652361
NCI	0.0652231
"Council of Europe"	0.0650819
"Bank of Israel"	0.0649543
"Urban Institute"	0.0649254
"League of Women Voters"	0.0649088
"Department of Education"	0.0648702
"Southern Poverty Law Center"	0.0647131
Bruton	0.0645109
"Congressional Research Service"	0.0641728
Interpol	0.0641588
"Rotary International"	0.0641261
"Food and Drug Administration"	0.0641144
"labor union"	0.0639941
"International Federation"	0.0639312
"American Federation"	0.0638226
"trade association"	0.0637281
PBOC	0.0635797
"China Society"	0.0634788
"Beijing Municipal Government"	0.0634319
"World Bank"	0.0633049
"National Organization"	0.0632098
"Time Inc."	0.063196
CPSC	0.0631924
"Ministry of Education"	0.063094
"Electronic Frontier Foundation"	0.0630678
"Israeli Cabinet"	0.0629309
"Allied Pilots Association"	0.0628982
"International Olympic Committee"	0.0628804
"Salt Lake Organizing Committee"	0.0628042
UNICEF	0.0627251
"Department of Transportation"	0.0626911
guild	0.062304
"business community"	0.0622017
"Justice Ministry"	0.0619411
"EU Commission"	0.0618294
"Department of Housing and Urban Development"	0.0616647
"Board of Supervisors"	0.0616591
NARAL	0.0614939
"International Atomic Energy Agency"	0.0611034
"National Endowment"	0.060992
"Center for Responsive Politics"	0.0609854
"Labor Department"	0.0609738
"New York Civil Liberties Union"	0.0609167
"Times Co."	0.0608015
"Christie Whitman"	0.0607463
"U.S. Defense Department"	0.0607112
"Secretary General Esmat Abdul-Meguid"	0.0606925
"National Marine Fisheries Service"	0.060507
INEC	0.0604746
"United Nations Children's Fund"	0.0604033
"board of education"	0.0601458
"Islamic Jihad"	0.0600775
"Electronic Privacy Information Center"	0.0600153
Oxfam	0.0599569
"Communications Workers of America"	0.0599433
HKFA	0.0598727
"United Steelworkers"	0.0598541
"Violence Policy Center"	0.059809
"Ministry of Internal Trade"	0.0597145
EC	0.0595486
"Operation Lifeline Sudan"	0.0593537
"board of regents"	0.059333
))
("American Michael Chang" (desc 1118.28) (sims
"Russian Yevgeny Kafelnikov"	0.28408
"Michael Chang"	0.275224
"South African Amanda Coetzer"	0.256642
"American Chanda Rubin"	0.255968
"American Pete Sampras"	0.254137
"Patrick Rafter"	0.239054
"Goran Ivanisevic"	0.23074
"Jonas Bjorkman"	0.229514
"American Lindsay Davenport"	0.229264
"Tim Henman"	0.224902
"Australian Mark Philippoussis"	0.222318
"American Todd Martin"	0.22168
"Briton Greg Rusedski"	0.218101
"Yevgeny Kafelnikov"	0.2149
"Carlos Moya"	0.214161
"Alex Corretja"	0.213493
"Anke Huber"	0.210068
"Sergi Bruguera"	0.208539
"Richard Krajicek"	0.203854
"Marcelo Rios"	0.202105
"Petr Korda"	0.201286
"Conchita Martinez"	0.198986
"Felix Mantilla"	0.198092
"American Andre Agassi"	0.196376
"Gustavo Kuerten"	0.196318
"Camilla Martin"	0.195674
"Arantxa Sanchez Vicario"	0.195446
"Thomas Enqvist"	0.195394
"Albert Costa"	0.194667
"Greg Rusedski"	0.193821
"Pat Rafter"	0.192995
"Arantxa Sanchez-Vicario"	0.189602
"Wayne Ferreira"	0.185293
"Nathalie Tauziat"	0.185212
"Boris Becker"	0.18319
"Magnus Gustafsson"	0.183173
Corretja	0.181716
"Magnus Norman"	0.181421
"Thomas Muster"	0.179842
"Alberto Berasategui"	0.179714
"Marc Rosset"	0.179563
"Julie Halard-Decugis"	0.174943
"Karol Kucera"	0.174921
"Jerome Golmard"	0.174692
"Iva Majoli"	0.174601
Siemerink	0.174432
"Sabine Appelmans"	0.169939
"Amy Frazier"	0.168543
Puerta	0.168136
"Albert Portas"	0.167006
Kafelnikov	0.165307
Dragomir	0.164718
Moya	0.164185
"Chanda Rubin"	0.164167
"Andre Agassi"	0.162537
"Judith Wiesner"	0.162504
"Pete Sampras"	0.162289
Likhovtseva	0.161505
"Jana Novotna"	0.161085
"Cedric Pioline"	0.159916
"Byron Black"	0.159598
"Peter Nicol"	0.159099
"Mariano Puerta"	0.158593
"Barbara Paulus"	0.158574
"Richard Fromberg"	0.157144
"Dominique Van Roost"	0.155908
Stoltenberg	0.153959
"Jim Courier"	0.153372
Rosset	0.152521
"Mark Philippoussis"	0.151569
"Li Fang"	0.151463
"Alex O'Brien"	0.151361
"Brenda Schultz-McCarthy"	0.150642
"Silvia Farina"	0.14992
"Sandrine Testud"	0.149424
Kuerten	0.148823
"Nathalie Dechy"	0.148552
"Todd Martin"	0.147951
"Mary Pierce"	0.147425
Enqvist	0.147184
"Venus Williams"	0.145716
"Amanda Coetzer"	0.145402
"Francisco Clavet"	0.144798
"Henrieta Nagyova"	0.1447
"Gong Zhichao"	0.144219
"Nicolas Kiefer"	0.144071
"Jason Stoltenberg"	0.144063
Dosedel	0.143872
"Monica Seles"	0.143354
"Irina Spirlea"	0.143172
Bjorkman	0.142586
"Martina Hingis"	0.141435
"Marat Safin"	0.141423
Tarango	0.141324
"Fabrice Santoro"	0.140471
"Thomas Johansson"	0.139969
"Younes El Aynaoui"	0.139856
"Lindsay Davenport"	0.13968
rios	0.139569
"Kenneth Carlsen"	0.138809
"Old Dominion"	0.137339
"Nicolas Escude"	0.13686
Clavet	0.136737
"Ruxandra Dragomir"	0.135999
Henman	0.135628
Edberg	0.134888
"Naoko Sawamatsu"	0.134197
"Arnaud Boetsch"	0.133444
Haarhuis	0.133098
Frenchwoman	0.132365
"Arnaud Di Pasquale"	0.131633
"Kimiko Date"	0.131626
Taufik	0.131557
"Ye Zhaoying"	0.131497
"Lisa Raymond"	0.131212
"Andrei Medvedev"	0.130168
"Javier Sanchez"	0.12868
Seles	0.127315
"Peter Gade Christensen"	0.127281
"Xia Xuanze"	0.127278
"Carlos Costa"	0.126082
Agassi	0.126077
Nicol	0.125466
Mantilla	0.125363
"Tommy Haas"	0.125001
"Tamarine Tanasugarn"	0.124553
Ivanisevic	0.124494
Susanti	0.124302
"Serena Williams"	0.124187
"Jennifer Capriati"	0.123457
Berasategui	0.123456
"Dai Yun"	0.123295
"Patty Schnyder"	0.123226
"Juan Carlos Ferrero"	0.12291
"Elena Likhovtseva"	0.122219
Testud	0.121088
"Magdalena Maleeva"	0.121082
"Nicolas Lapentti"	0.12063
Capriati	0.12036
"Galo Blanco"	0.120294
Huber	0.120129
"Franco Squillari"	0.119838
"Christian Ruud"	0.119833
Korda	0.119685
"Stefan Edberg"	0.11934
"Anne-Gaelle Sidot"	0.118951
terrapin	0.118864
Kiefer	0.118712
"Brett Steven"	0.118138
"Wang Chen"	0.11777
"Scarlet Knights"	0.117452
"Renzo Furlan"	0.117446
"Natasha Zvereva"	0.11705
Chang	0.116143
Schalken	0.114982
Jansher	0.114966
"Jansher Khan"	0.114896
"Alberto Costa"	0.113869
"Scott Draper"	0.113445
Majoli	0.112944
Bruguera	0.112609
"Sarah Pitkowski"	0.112496
Spadea	0.111945
"Mark Knowles"	0.111895
"MaliVai Washington"	0.111505
"Hernan Gumy"	0.111501
Ferreira	0.110811
"Andrea Gaudenzi"	0.110703
"Leander Paes"	0.110603
"Steffi Graf"	0.110016
Sanchez-Vicario	0.109696
Samford	0.109516
Sidot	0.108944
Sugiyama	0.108877
"Sebastien Grosjean"	0.108788
"Paul Haarhuis"	0.108765
"Rodney Eyles"	0.108299
Spaniard	0.108143
Shenhua	0.107562
Novotna	0.10686
"Poul-Erik Hoyer-Larsen"	0.106713
Zvereva	0.106224
"Mark Woodforde"	0.105508
Davenport	0.105245
Medvedev	0.105205
"Todd Woodbridge"	0.105008
"Amelie Mauresmo"	0.104775
Rusedski	0.104607
"Fernando Meligeni"	0.104448
Tauziat	0.104386
Spirlea	0.104386
"Barbara Schett"	0.103872
Hendrawan	0.10357
"Mia Audina"	0.103251
"David Prinosil"	0.102878
"Mary Joe Fernandez"	0.102794
"Karim Alami"	0.10214
Rafter	0.101842
"Wayne Black"	0.101771
"Ottawa Senators"	0.101659
"Joko Suprianto"	0.101576
Mauresmo	0.101049
Philippoussis	0.100588
Ulihrach	0.100234
"Van Roost"	0.100143
))
("American Museum of Natural History" (desc 3582.17) (sims
"Metropolitan Museum"	0.25621
"Whitney Museum of American Art"	0.230633
"Whitney Museum"	0.217983
"Museum of Natural History"	0.207185
"Jewish Museum"	0.201249
"Metropolitan Museum of Art"	0.199647
"Museum of Modern Art"	0.19138
"Philadelphia Museum of Art"	0.191054
"Solomon R. Guggenheim Museum"	0.175945
"Art Institute of Chicago"	0.174069
"Smithsonian Institution"	0.164534
"Brooklyn Museum of Art"	0.164347
"Rockefeller University"	0.158329
"San Francisco Museum of Modern Art"	0.148863
"Waldorf-Astoria Hotel"	0.145999
"Atlanta History Center"	0.145965
"Museum of Fine Arts"	0.14453
"Film Forum"	0.142316
Guggenheim	0.140593
"Museum of Contemporary Art"	0.139809
"Tate Gallery"	0.138548
"Memorial Sloan-Kettering Cancer Center"	0.135752
"Guggenheim Museum"	0.134104
"Corcoran Gallery"	0.133221
"British Museum"	0.129978
"Asia Society"	0.123521
"National Gallery"	0.118731
"Mount Sinai Medical Center"	0.118713
"Brooklyn Museum"	0.115402
"Cooper Union"	0.11268
Waldorf-Astoria	0.110205
"University of Notre Dame"	0.107927
"Juilliard School"	0.106739
"Washington University"	0.104616
Smithsonian	0.103481
"Metropolitan Opera House"	0.102466
"Mount Sinai Hospital"	0.101355
Louvre	0.099722
"High Museum of Art"	0.0993048
"Hunter College"	0.0942793
"Walter Reade Theater"	0.0893123
"Radio City Music Hall"	0.0872095
"Fordham University"	0.0847768
"Saks Fifth Avenue"	0.083555
"National Museum"	0.0832057
"New York Public Library"	0.0828826
"Kansas State University"	0.0825697
"Joyce Theater"	0.0814226
"World Trade Center"	0.0797887
"University of California"	0.0784038
"World Jewish Congress"	0.0774387
"Council on Foreign Relations"	0.0763436
Whitney	0.0760562
"Legal Aid Society"	0.0759374
"U.N. Headquarters"	0.0745939
"University of Chicago"	0.0745266
"Plaza Hotel"	0.0744261
"Costume Institute"	0.0737056
"Washington State University"	0.0734267
"Brooklyn Academy of Music"	0.0728467
"Space Needle"	0.0720649
"Grand Central Terminal"	0.0716447
"Riverside Church"	0.0710647
met	0.07089
"University of New Mexico"	0.070852
"Consumer Electronics Show"	0.0700384
"Seasons Hotel"	0.0695568
"Lincoln Center Festival"	0.068947
"Victoria Park"	0.0688129
"Hong Kong Convention and Exhibition Center"	0.0683244
"University of Kansas"	0.0675411
"University of Illinois"	0.0662481
"Pennsylvania Station"	0.0644681
"Johnson Space Center"	0.0642444
"Polo Grounds"	0.0637949
"Cornell University"	0.063692
"Manhattan Theater Club"	0.0636271
"Battery Park City"	0.0634639
"International Rescue Committee"	0.0633688
"Duke University"	0.062565
"Metropolitan Opera"	0.0623539
MFA	0.0623034
"Zoo Atlanta"	0.0619775
"Avery Fisher Hall"	0.0607128
"Natural Resources Defense Council"	0.0600788
"Pennsylvania State University"	0.059648
Macworld	0.0593238
"University of Arizona"	0.0589431
Sotheby's	0.0579749
"Harvard University"	0.0578541
"Princeton University"	0.0573803
"Bell Labs"	0.0573202
"Rainbow Room"	0.0572614
"State University of New York"	0.0571171
"Federal District Court"	0.0567763
"Stanford University"	0.0567151
"University of Washington"	0.056489
"Oxford University"	0.056038
"Sheraton Hotel"	0.0559474
"University of Rochester"	0.0559046
"Millrose Games"	0.055894
"McGill University"	0.0556355
"Rockefeller Center"	0.0554202
"World AIDS Conference"	0.0549629
"Kennedy Center"	0.0548904
"Mather Worldwide"	0.0548454
"New York Film Festival"	0.0547258
Getty	0.054433
"Omnicom Group"	0.0544099
"National Marine Fisheries Service"	0.0543582
"Georgia World Congress Center"	0.0543501
"Barnard College"	0.0536221
"Arizona State University"	0.0535425
"Brandeis University"	0.0535303
"California Institute of Technology"	0.0530053
"Ohio State University"	0.05272
"Chase Manhattan Bank"	0.052414
"Apollo Theater"	0.0519976
"National Audubon Society"	0.0519697
"National Theater"	0.0519455
"University of Florida"	0.0518333
"Fashion Week"	0.0516873
"American Jewish Committee"	0.0515912
"Bell Laboratories"	0.0509356
"University of Michigan"	0.0508972
"University of Maine"	0.0503467
"Elysee Palace"	0.0501497
"National Cancer Institute"	0.0501201
"Museum of Chinese History"	0.0501071
"Penn Station"	0.0499257
"Lincoln Center"	0.0498746
"Carnegie Endowment"	0.0497761
"Lawrence Livermore National Laboratory"	0.0493062
"Emory University"	0.0489264
"Columbia University"	0.0487269
"Public Theater"	0.0487048
"Hilton Hotel"	0.0486693
"Freedom Forum"	0.0486356
"New York State Theater"	0.0484756
"Anti-Defamation League"	0.0482718
"National Council of Churches"	0.0480401
"New York City Opera"	0.0480301
Graceland	0.047813
"George Mason University"	0.0475716
metropolitan	0.047009
"American Lung Association"	0.0468162
"Union of Concerned Scientists"	0.0463488
"Beijing University"	0.046075
"school of medicine"	0.0459844
"school of music"	0.045937
Steakhouse	0.0456811
Bloomingdale's	0.0454061
"University of Colorado"	0.0453883
"Massachusetts Institute of Technology"	0.0452174
"National Archives"	0.0452155
"Enron Corp."	0.0451155
"San Francisco State University"	0.0450779
PaineWebber	0.0450778
"Center for Science"	0.0449891
"University of Hawaii"	0.0449183
"exhibition hall"	0.0447155
"Syracuse University"	0.0446732
Rotary	0.0445557
"Royal National Theater"	0.0444439
"Yale university"	0.044316
"Pudong International Airport"	0.0442562
"Carnegie Hall"	0.0441664
"University of Dayton"	0.0441427
"Iowa State University"	0.0440829
"RAND Corp."	0.0440669
"Southern Methodist University"	0.0439503
"Humane Society"	0.0439455
"North Carolina State University"	0.0438356
"Environmental Defense Fund"	0.0436578
Barrio	0.0433817
"Playboy Mansion"	0.0433582
"Hyatt Regency"	0.0431022
"George Washington University"	0.0430016
Moma	0.0428201
"main office"	0.0428019
"Dana-Farber Cancer Institute"	0.0427806
"Amherst College"	0.0426718
CalTech	0.0425817
BOC	0.0424297
"Fifth Avenue"	0.0422685
"National Library"	0.0422668
"Local @@@@"	0.0421879
"Jupiter Communications"	0.0421328
"Fallon McElligott"	0.0420091
"Levi Strauss &AMP; Co."	0.0419659
"Studio @@"	0.0419553
"University of Oregon"	0.0419219
"Bryant Park"	0.0418925
MSF	0.0418004
"Second Avenue"	0.0416947
"UC Irvine"	0.0410969
"Grand Central"	0.0410112
"Comerica Park"	0.0409212
Christie's	0.0407764
Sorbonne	0.0407472
))
("American Pete Sampras" (desc 1327.89) (sims
"Jansher Khan"	0.303981
"Joko Suprianto"	0.285168
"Peter Gade Christensen"	0.257223
"American Michael Chang"	0.254137
"Peter Nicol"	0.253492
"Ge Fei"	0.241602
"American Andre Agassi"	0.241597
"American Lindsay Davenport"	0.237372
"Pat Rafter"	0.228992
"Michael Chang"	0.226292
"Russian Yevgeny Kafelnikov"	0.221821
"Mia Audina"	0.216532
"Ye Zhaoying"	0.214048
"Gong Zhichao"	0.210021
"Thomas Enqvist"	0.205886
"Camilla Martin"	0.204553
"Xia Xuanze"	0.202243
"Rodney Eyles"	0.200513
"Yevgeny Kafelnikov"	0.198794
"Dong Jiong"	0.198748
"Felix Mantilla"	0.197643
"Arantxa Sanchez Vicario"	0.196615
"Marcelo Rios"	0.194897
"Kong Linghui"	0.191589
"Pete Sampras"	0.19128
"Taufik Hidayat"	0.189248
"Peter Rasmussen"	0.188274
"Petr Korda"	0.187282
"Andre Agassi"	0.186577
"Boris Becker"	0.186035
"Patrick Rafter"	0.185319
"Gustavo Kuerten"	0.184271
"Richard Krajicek"	0.183916
"Conchita Martinez"	0.183533
"Thomas Muster"	0.183016
"Stefan Edberg"	0.179841
"Arantxa Sanchez-Vicario"	0.1795
"Greg Rusedski"	0.179168
"Jim Courier"	0.178893
"Carlos Moya"	0.177418
"Sergi Bruguera"	0.177143
"Goran Ivanisevic"	0.174476
"Liu Yong"	0.173444
"Jean-Philippe Gatien"	0.173161
"Wang Nan"	0.172023
"Susi Susanti"	0.171764
"Amy Frazier"	0.170169
"Karol Kucera"	0.17013
"Heryanto Arbi"	0.170103
"Wang Chen"	0.167552
Taufik	0.166331
"Mary Pierce"	0.164704
"Francisco Clavet"	0.164548
"Jana Novotna"	0.164166
"Anke Huber"	0.163549
"Monica Seles"	0.163431
"American Todd Martin"	0.162058
"Tim Henman"	0.161178
"Alex Corretja"	0.161097
"Dai Yun"	0.16098
"Wayne Ferreira"	0.160647
"Albert Costa"	0.160486
"Martina Hingis"	0.160074
"Magnus Norman"	0.15978
Kafelnikov	0.156774
"Jason Stoltenberg"	0.155872
"Alberto Berasategui"	0.155353
"Garry Kasparov"	0.154855
"Australian Mark Philippoussis"	0.152538
"Steffi Graf"	0.15252
"MaliVai Washington"	0.151676
"Lindsay Davenport"	0.150709
"Younes El Aynaoui"	0.150103
"Jan-Ove Waldner"	0.149696
"American Chanda Rubin"	0.149358
"Fung Permadi"	0.148835
"Li Ju"	0.147874
"Iva Majoli"	0.14781
"Elena Berezhnaya"	0.14742
"Moses Tanui"	0.147096
"Mark Woodforde"	0.147073
Enqvist	0.146899
"Brooke Bennett"	0.146808
"Brenda Schultz-McCarthy"	0.146505
Berasategui	0.145183
"Magdalena Maleeva"	0.144627
"Gong Ruina"	0.144202
rios	0.144031
"Kimiko Date"	0.143875
"Magnus Gustafsson"	0.143751
"Nathalie Dechy"	0.142817
"Zhang Ning"	0.142621
"Rainer Schuttler"	0.142438
"Jonas Bjorkman"	0.14212
"Jimmy Connors"	0.140886
Bjorkman	0.140414
"Dominique Van Roost"	0.139577
"Todd Woodbridge"	0.139368
"Paul Tergat"	0.138892
"Marc Rosset"	0.138678
"Sandrine Testud"	0.138058
"Mark Philippoussis"	0.138015
"Liu Guoliang"	0.137771
"Barbara Paulus"	0.137651
"Byron Black"	0.13679
"Buster Douglas"	0.136378
"Nathalie Tauziat"	0.135864
"Julie Halard-Decugis"	0.135561
"Maria Mutola"	0.135231
"Carlos Costa"	0.133856
"Scott Draper"	0.133293
"Ivan Pedroso"	0.13285
"Michael Von Gruenigen"	0.132549
"Li Fang"	0.132547
"Chanda Rubin"	0.131728
"Todd Martin"	0.131466
"Deng Yaping"	0.130814
"Alberto Costa"	0.1307
"Ong Ewe Hock"	0.13043
"Andrea Gaudenzi"	0.130344
Susanti	0.130108
Sampras	0.129815
"Ai Sugiyama"	0.129681
"Amanda Coetzer"	0.128052
Waldner	0.127758
"Fabrice Santoro"	0.12761
"Briton Greg Rusedski"	0.127238
"Lisa Raymond"	0.126977
"Kenneth Carlsen"	0.126606
Edberg	0.125994
Stoltenberg	0.125708
"Vladimir Samsonov"	0.125576
"Anatoly Karpov"	0.12554
"Chen Lu"	0.1253
"Todd Eldredge"	0.12495
"Thomas Johansson"	0.124383
"Candra Wijaya"	0.12407
"Jacco Eltingh"	0.123972
Agassi	0.123524
"Abraham Olano"	0.123282
"Deon Hemmings"	0.123072
"Karim Alami"	0.123056
"Jubilo Iwata"	0.122877
"Venus Williams"	0.122778
"Wang Yifu"	0.122712
"Michael Stich"	0.122694
"Johan Museeuw"	0.121415
"Zoran Primorac"	0.12128
"Irina Slutskaya"	0.121081
"Mariano Puerta"	0.120967
"Fiona May"	0.120524
"Arnaud Di Pasquale"	0.120395
"Claudia Poll"	0.120269
"Hernan Gumy"	0.119949
"Roger Federer"	0.119772
Corretja	0.119368
Karpov	0.118888
"Patty Schnyder"	0.118689
"Jonathan Stark"	0.118545
"Maria Butyrskaya"	0.118308
"Albert Portas"	0.118162
"Laurent Jalabert"	0.117762
"Sabine Appelmans"	0.117751
"Richard Fromberg"	0.11742
Siemerink	0.117402
"Svetlana Khorkina"	0.117122
"Chicago Fire"	0.116883
"Cedric Pioline"	0.116695
Dosedel	0.116463
"Ricky Subagja"	0.116408
Hingis	0.116016
"Khalid Khannouchi"	0.115852
"Serena Williams"	0.115667
"Henrieta Nagyova"	0.115181
"Colin Jackson"	0.11502
"Shanghai Shenhua"	0.115007
"Filip Dewulf"	0.114693
Henman	0.114488
"Bohdan Ulihrach"	0.114396
"Bayi Rockets"	0.114193
"Naoko Sawamatsu"	0.114156
"Samantha Riley"	0.113924
"Derrick Adkins"	0.113707
Bayi	0.113565
"Fu Mingxia"	0.113531
"Nicolas Kiefer"	0.113397
Gustafsson	0.113275
"Richey Reneberg"	0.113229
"Jeff Tarango"	0.112691
"Allen Johnson"	0.112456
"Mats Wilander"	0.112013
"Rashid Sidek"	0.111736
"Anjelika Krylova"	0.111459
"Bjorn Borg"	0.110904
"Vincent Spadea"	0.110851
"Grant Hackett"	0.110822
"Poul-Erik Hoyer-Larsen"	0.11056
Ulihrach	0.110437
"Jorgen Persson"	0.110134
"Andrei Medvedev"	0.110031
"Arnaud Boetsch"	0.109965
Hendrawan	0.109851
"Tommy Haas"	0.109696
"Fernando Meligeni"	0.109589
"Marat Safin"	0.108748
"John McEnroe"	0.108287
"Li Jiajun"	0.108156
Palmeiras	0.107765
"Jennifer Capriati"	0.107598
"David Prinosil"	0.107505
"Tegla Loroupe"	0.107123
"Sjeng Schalken"	0.106982
"Fatuma Roba"	0.106421
"Renzo Furlan"	0.106234
Morceli	0.10601
"Chris Woodruff"	0.105927
"Ivan Ivankov"	0.105712
"Asa Carlsson"	0.105676
"Pavel Tonkov"	0.10565
"Arnaud Clement"	0.105597
"Oksana Kazakova"	0.105575
"Eddie Cheever"	0.105534
"Nicolas Lapentti"	0.105489
"South African Amanda Coetzer"	0.10521
"Irina Spirlea"	0.105089
Davenport	0.104583
"Brett Steven"	0.104382
"Denis Pankratov"	0.104376
"Inger Miller"	0.104327
"Jerome Golmard"	0.104298
"Felix Savon"	0.10426
"Lleyton Hewitt"	0.104255
Devers	0.104078
"Stacy Dragila"	0.103788
Clavet	0.10365
"Michael Doohan"	0.103612
"Max Biaggi"	0.103527
"Beautiful Pleasure"	0.103415
"Natasha Zvereva"	0.103405
"Tamarine Tanasugarn"	0.103331
"Judith Wiesner"	0.103203
"Alexei Yagudin"	0.103078
"Alex O'Brien"	0.102924
"Oksana Baiul"	0.102577
"Budi Santoso"	0.102346
Gremio	0.102262
"Dottie Pepper"	0.102188
Doohan	0.102087
"Wang Liqin"	0.102071
"Dalian Wanda"	0.101862
"Jeff King"	0.101823
"Andrei Pavel"	0.101674
"Ji Xinpeng"	0.101115
"Amelie Mauresmo"	0.101059
"Frank Bruno"	0.100867
Moya	0.100576
"Christian Ruud"	0.100343
Popov	0.100276
"Svetlana Masterkova"	0.10025
"Sarah Pitkowski"	0.100105
))
("American Petroleum Institute" (desc 2634.38) (sims
"American Association of Health Plans"	0.252057
"Air Transport Association"	0.251819
Eurostat	0.227222
"U.S. Census Bureau"	0.212489
"Families USA"	0.211892
"Conference Board"	0.207144
"Wine Institute"	0.202735
"Australian Bureau of Statistics"	0.202356
"Securities Industry Association"	0.18838
"National Bureau of Statistics"	0.18459
"State Statistics Bureau"	0.183828
"Economic Planning Agency"	0.179833
"Kaiser Family Foundation"	0.179237
"Motion Picture Association of America"	0.173704
"National Association of Realtors"	0.168429
"Common Cause"	0.167924
"State Statistical Bureau"	0.167666
"Handgun Control Inc."	0.167246
"U.S. Agriculture Department"	0.165174
"Institute of Medicine"	0.164699
"Department of Commerce"	0.160491
"Cuban American National Foundation"	0.157853
"Center for Responsive Politics"	0.155258
"Human Rights Campaign"	0.152472
"Census Bureau"	0.15146
"Recording Industry Association of America"	0.151452
"National Research Council"	0.149911
"Department of Health and Human Services"	0.148128
"Congressional Research Service"	0.147565
"National Abortion and Reproductive Rights Action League"	0.143645
"Department of Agriculture"	0.143135
"U.S. Chamber of Commerce"	0.140303
"Central Bank of Kenya"	0.140063
"American Association of Retired Persons"	0.139312
"Statistics Canada"	0.135867
"Agence France Presse"	0.135642
"National Republican Congressional Committee"	0.135159
"College Board"	0.134565
"National Council of La Raza"	0.131668
ISTAT	0.131478
"Commerce Department"	0.130793
"Violence Policy Center"	0.130607
"Log Cabin Republicans"	0.130439
"Natural Resources Defense Council"	0.130225
"Jupiter Communications"	0.129869
"Bureau of Labor Statistics"	0.129504
"Congressional Budget Office"	0.128336
"Labor Department"	0.127908
"Commerce Ministry"	0.127672
"Media Metrix"	0.127343
"Center on Budget"	0.127277
"Transparency International"	0.126956
"Department of Health"	0.126688
"Nielsen Media Research"	0.12604
"Handgun Control"	0.125197
"Department of Labor"	0.124707
"Amnesty International"	0.123502
"National Association of Manufacturers"	0.122026
"General Accounting Office"	0.120974
SSB	0.120793
"World Jewish Congress"	0.120051
"General Administration of Customs"	0.11915
"Human Rights Watch"	0.11853
"National Federation"	0.118227
"Thai Commerce Ministry"	0.118184
"Democratic Leadership Council"	0.117408
"Heritage Foundation"	0.117363
"Texas Department of Public Safety"	0.117131
"American Medical Association"	0.117018
"National Association of Broadcasters"	0.115758
"Urban Institute"	0.114692
Dataquest	0.113825
AARP	0.113458
"National Highway Traffic Safety Administration"	0.113089
"International Data Corp."	0.113005
"League of Conservation Voters"	0.112887
"Business Council"	0.112483
"U.S. Environmental Protection Agency"	0.111226
EOHR	0.110712
"U.S. Commerce Department"	0.108689
"State Administration for Industry"	0.108644
"Education Department"	0.107762
"Atlanta Committee"	0.10759
"National Council of Churches"	0.107312
"US State Department"	0.106943
"National Association of Securities Dealers"	0.106481
"Ministry of Industry"	0.106277
"Electronic Frontier Foundation"	0.106273
"International Rescue Committee"	0.106083
"Labor Ministry"	0.105873
"Department of Transportation"	0.10461
"Freddie Mac"	0.104463
UNAIDS	0.104396
"Consumers Union"	0.104283
"Anti-Defamation League"	0.103937
"Judicial Watch"	0.103214
"American Bankers Association"	0.102898
Oxfam	0.10267
"Health Department"	0.102228
"Ministry of Public Health"	0.101444
"National Academy of Sciences"	0.10103
"Air Line Pilots Association"	0.100496
"National Audubon Society"	0.100271
"Office of Management and Budget"	0.0999392
"Yankee Group"	0.0999337
"Democratic Congressional Campaign Committee"	0.0998395
"Bank of Montreal"	0.0997627
"Airport Authority"	0.0997399
"Consumer Federation"	0.0997101
"Ministry of Health"	0.0994773
"China National Tourism Administration"	0.0991722
"American Lung Association"	0.0989049
NTSB	0.0982635
"Sierra Club"	0.098255
"Cato Institute"	0.0982157
"National Education Association"	0.0977944
"Family Research Council"	0.0974219
"Department of Public Safety"	0.0973403
Greenpeace	0.0967
IEA	0.0959366
IDC	0.0957005
"Nihon Keizai Shimbun"	0.0953294
"National Transportation Safety Board"	0.0952474
"American Cancer Society"	0.0952425
"Environmental Protection Agency"	0.0948604
"Forrester Research"	0.0943265
"Association for Relations Across"	0.0943084
"Southeastern Legal Foundation"	0.0935001
"Ministry of Trade and Industry"	0.0932658
"Ministry of Agriculture"	0.0928026
"American Bar Association"	0.092747
"ethics panel"	0.0925811
"Center for Strategic"	0.091969
"Federal Election Commission"	0.0916752
"Freedom Forum"	0.0914037
PricewaterhouseCoopers	0.0911591
"National Election Committee"	0.0908177
"Xinhua News Agency"	0.0906771
"State Environmental Protection Administration"	0.090624
"National Alliance"	0.0902043
ITC	0.090034
"Bank of Thailand"	0.0899911
Gao	0.0899324
"Central Bureau of Statistics"	0.0898703
"Chinese Academy of Social Sciences"	0.0898324
"Department of Trade and Industry"	0.0897947
"Department of Finance"	0.0895799
"National Association"	0.0895552
"World Health Organization"	0.0889806
"Republican Leadership Council"	0.0889306
AFL-CIO	0.0889166
"Communications Workers of America"	0.0887283
"Ministry of International Trade and Industry"	0.0884999
"World Tourism Organization"	0.0882898
"Census and Statistics Department"	0.0881822
"Food and Agriculture Organization"	0.0877278
"Health Ministry"	0.0872143
"Pew Research Center"	0.0869271
"Electronic Privacy Information Center"	0.0866304
"Department of Education"	0.0865289
"Mastercard International"	0.0864925
"Rainbow/PUSH Coalition"	0.0861658
API	0.0856045
"Ministry of Labor"	0.0854887
"Bank of Israel"	0.0852476
AAA	0.0852212
"Commission on Presidential Debates"	0.0846827
"Hong Kong Trade Development Council"	0.0846267
YankeeNets	0.0844394
"Dow Jones &AMP; Co."	0.084326
"Allied Pilots Association"	0.0842985
"Center for Democracy"	0.0842505
ATA	0.0839607
INEC	0.0837108
"PC Data"	0.0836739
"Public Citizen"	0.0835365
"Salt Lake Organizing Committee"	0.083173
"American Heart Association"	0.0829391
"chamber of commerce"	0.0826861
"National Weather Service"	0.0821619
"Federal Reserve Bank"	0.0820486
NDF	0.0819924
"Health and Human Services Department"	0.0819161
"Iraqi National Congress"	0.0817687
"Finance Ministry"	0.0815212
"American Civil Liberties Union"	0.0815104
"International Badminton Federation"	0.0813461
Hynes	0.0811306
"National Conference"	0.0810992
"U.S. State Department"	0.0810136
"Association of Flight Attendants"	0.0808703
HKMA	0.0807835
"Bloomberg News"	0.080612
"Council of Economic Advisers"	0.080603
IRNA	0.0802923
"Shanghai Branch"	0.0801848
"Hong Kong Tourist Association"	0.0800757
"Southern Poverty Law Center"	0.0797731
"Con Edison"	0.0796679
"Saudi Press Agency"	0.0796533
))
("American Pie" (desc 6896.46) (sims
"Runaway Bride"	0.188258
Bowfinger	0.171941
"Erin Brockovich"	0.169902
"Patch Adams"	0.167159
"Thomas Crown Affair"	0.165947
"Fight Club"	0.161721
"Blair Witch Project"	0.158334
"Notting Hill"	0.156309
"Cruel Intentions"	0.153991
"Wild Wild West"	0.15311
EdTV	0.14768
U-@@@	0.143471
"Double Jeopardy"	0.141744
"Eyes Wide Shut"	0.138909
"Being John Malkovich"	0.132043
"South Park"	0.12464
"Mickey Blue Eyes"	0.124035
"Big Daddy"	0.122372
"Scary Movie"	0.122191
"sixth sense"	0.119246
"high fidelity"	0.118759
"American Beauty"	0.117043
"Galaxy Quest"	0.116387
"Stuart Little"	0.11507
"Varsity Blues"	0.113017
Matrix	0.112133
Antz	0.108608
Tarzan	0.106566
"Animal House"	0.104445
"Inspector Gadget"	0.103541
"Phantom Menace"	0.103128
Gladiator	0.102731
"Toy Story"	0.101078
Jawbreaker	0.0996588
"Green Mile"	0.0992961
"Saving Private Ryan"	0.0976684
Rushmore	0.0971313
"Parent Trap"	0.0965268
"Austin Powers"	0.0961383
"Space Cowboys"	0.0957677
"Toy Story @"	0.0950219
"chicken run"	0.0940179
"Civil Action"	0.0927635
"Impossible @"	0.0926609
"Smoke Signals"	0.0905189
Bulworth	0.0890186
Waterboy	0.0890109
"Thin Red Line"	0.0875788
psycho	0.0875559
entrapment	0.0860236
"Jerry Maguire"	0.085904
"Scream @"	0.0855211
"Mighty Joe Young"	0.0844653
mummy	0.0842493
"Iron Giant"	0.0814854
"Star Wars"	0.0810468
Armageddon	0.080328
Dolittle	0.0798387
"Truman Show"	0.0796983
"Perfect Storm"	0.0789457
"Got Mail"	0.0785713
"Get Real"	0.0764726
Ronin	0.0764078
X-MEN	0.0762741
"Simple Plan"	0.0754301
"Blair Witch"	0.0752
"Nurse Betty"	0.0748616
"True Thing"	0.0743518
"DEEP BLUE SEA"	0.0743481
"best man"	0.0741304
"Been Kissed"	0.0732941
Mumford	0.0728351
Stigmata	0.0724358
"Life Is Beautiful"	0.0723957
Mulan	0.0716823
Pleasantville	0.0716436
"Hollow Man"	0.0712815
"Little Voice"	0.0706824
"Mod Squad"	0.0701473
comedy	0.0698959
"Central Station"	0.0693084
"Lake Placid"	0.0692668
Tootsie	0.0682531
"wild West"	0.0678085
"Good Will Hunting"	0.0676728
Futurama	0.0668501
"American Psycho"	0.066839
ROUNDERS	0.0666296
"Waking Ned Devine"	0.0664995
"Star-Spangled Banner"	0.0661948
sequel	0.0657386
"pitch black"	0.0653495
"Sleepy Hollow"	0.0652781
"Cider House Rules"	0.0650995
Rugrats	0.0650896
rocky	0.0647229
Magnolia	0.0636235
payback	0.0628635
Titus	0.0623411
"Titan A.E."	0.062075
Shakespeare	0.0615918
"Boogie Nights"	0.0615553
"Dudley Do-Right"	0.0614623
LIMEY	0.0612648
"Meet Joe Black"	0.0605791
Titanic	0.0605225
"Pulp Fiction"	0.0602268
stepmom	0.0599484
"Politically Incorrect"	0.0593199
"Princess Mononoke"	0.0592515
Sabrina	0.0590856
"Star Trek"	0.0587885
"Deep Impact"	0.058508
Footloose	0.0577664
Irene	0.0575976
Amistad	0.0574611
"Opium War"	0.057341
"Fantasy Island"	0.0572704
"Lion King"	0.0568621
"Jurassic Park"	0.0568271
"Family Guy"	0.0567821
thriller	0.0567481
"Forrest Gump"	0.0563958
dogma	0.0563228
"West Side Story"	0.0558335
Malcolm	0.0558038
Godzilla	0.0556643
Cosby	0.0552399
Lolita	0.0551931
"ray of light"	0.0550432
where	0.0550418
"Amazing Grace"	0.0544359
Trainspotting	0.0543405
out-of-towners	0.054077
"Everybody Loves Raymond"	0.05403
tumbleweed	0.0539807
"Monty Python"	0.0538624
"Pretty Woman"	0.0538213
"Citizen Kane"	0.0537778
"Lethal Weapon @"	0.053707
"Top Gun"	0.0536764
shaft	0.0535391
"wing commander"	0.0524819
Amadeus	0.0523302
remake	0.0522304
"Melrose Place"	0.0516859
Pecker	0.0514479
Muppets	0.051422
"Starr Report"	0.051366
FARGO	0.0513334
"Lethal Weapon"	0.0513081
"motion picture"	0.0511474
dick	0.051084
Lullaby	0.0510399
"Ally McBeal"	0.0508282
"Random Hearts"	0.0503159
Batman	0.0503092
"Peony Pavilion"	0.0502642
Dilbert	0.0501083
Seinfeld	0.0499992
"L.A Confidential"	0.0499047
"Velvet Goldmine"	0.0498289
blockbuster	0.0498148
"snake eyes"	0.0498056
Madeline	0.0495121
"Primary Colors"	0.0492087
Baywatch	0.049113
E.T	0.0490477
Dracula	0.0490326
"BUENA VISTA SOCIAL CLUB"	0.0485848
"Natural Born Killers"	0.0481794
"TV show"	0.0479784
Hurlyburly	0.047955
"Love Boat"	0.0479064
babe	0.0478292
"rear window"	0.0477617
"love story"	0.0476575
"game show"	0.0476358
Simpsons	0.0476301
cabaret	0.0476179
noir	0.0475527
Frasier	0.0474873
RealPlayer	0.0474849
"Rugrats Movie"	0.0474122
Felicity	0.0470101
"caste system"	0.0465052
"Blade Runner"	0.0464519
prequel	0.0464274
"The Sopranos"	0.0459624
"Very Bad Things"	0.0459448
ballad	0.0458276
"Night Fever"	0.0457057
E.R	0.045597
swinger	0.0455773
"Ideal Husband"	0.0455037
Evita	0.045118
"rush hour"	0.0451057
"Cosby Show"	0.0450721
skit	0.0449358
wonderland	0.0448598
))
("American plan" (desc 1745.09) (sims
"compromise plan"	0.144245
"reorganization plan"	0.0974424
"Kyoto Protocol"	0.0962821
"U.N. Resolution @@@"	0.0942142
Helms-Burton	0.0884266
"scoring system"	0.0830794
VFA	0.082575
"marriage proposal"	0.0814524
"Resolution @@@"	0.072244
"battle plan"	0.0698596
"army engineer"	0.0681369
"tax hike"	0.0677458
CEC	0.0672161
"expansion plan"	0.0665008
"Helms-Burton Act"	0.0655567
ABM	0.0641191
"U.N. Security Council Resolution @@@"	0.0632067
"piece of music"	0.0621403
"master plan"	0.0619459
"two pitchers"	0.0616676
"three schools"	0.0613101
"Policy Address"	0.0611966
"Marshall Plan"	0.0606407
"trade agreement"	0.0604741
"takeover offer"	0.0602231
"secret plan"	0.0593219
"Plan Colombia"	0.059024
"Comprehensive Nuclear Test Ban Treaty"	0.0589269
"merger agreement"	0.0588328
"Resolution @@@@"	0.058456
"African Union"	0.0583846
"Proposition @@"	0.0581395
"blank check"	0.0580174
"Anti-Ballistic Missile Treaty"	0.0579779
pimpernel	0.0579377
"National Missile Defense"	0.0578865
co-counsel	0.0571635
"Baby Bells"	0.0571407
"voting system"	0.0562155
"white paper"	0.0561788
"Comprehensive Test Ban Treaty"	0.0557521
"trade bill"	0.0557248
Gilead	0.0554016
reversers	0.0549176
Requests	0.0547854
"anti-dumping duty"	0.054449
"takeover bid"	0.0537603
"management change"	0.053473
dollarization	0.0534213
"legal code"	0.0528352
"wage scale"	0.0523952
Wye	0.0523329
"international criminal court"	0.05205
"Proposition @"	0.0517108
Ordinance	0.0517004
"Oslo Accords"	0.051472
"business plan"	0.0513861
Whitbread	0.0513809
"tax bill"	0.0513
"purchase agreement"	0.051208
"Maastricht Treaty"	0.0511286
Ruthardt	0.0510099
counteroffer	0.050943
"tax change"	0.0509315
"development plan"	0.0508421
"North American Free Trade Agreement"	0.0508025
Measures	0.050654
SMIs	0.0506448
"catalytic converter"	0.0501972
blinder	0.0499364
URL	0.0497115
reverser	0.0493838
"National Convention Executive Council"	0.0493355
Adelphia	0.0493246
"change of mind"	0.048903
"No. @s"	0.0488924
"letter of intent"	0.0488739
Berliner	0.0488265
"Action Plan"	0.048681
"three billion yuan"	0.0486668
"Horst Koehler"	0.0483765
"Erie Canal"	0.0482889
"pay cut"	0.0480902
"Framework Agreement"	0.0480835
D'Alessandro	0.0480292
hypothesis	0.0480103
Gores	0.0479227
B-shares	0.047705
timeframe	0.0476697
mainlanders	0.0476414
"National Council"	0.0475748
workmen	0.0474166
NCEC	0.0473858
"about @@@ million yuan"	0.0473653
"ventilation system"	0.0473643
"Sher Bahadur Deuba"	0.0473221
CNPC	0.047313
"contingency plan"	0.0472918
stationing	0.0472804
"employment report"	0.0472206
"Joint Statement"	0.0472179
PDA	0.0471569
"plan of action"	0.0471359
endoscope	0.0470914
"finding of fact"	0.0469247
modality	0.0468873
"budget cut"	0.0467767
Meguid	0.0466296
"cumulus cloud"	0.046579
"accounting problem"	0.0463611
NMD	0.0462686
"incentive plan"	0.0461383
"job offer"	0.0461117
plutocrat	0.0460645
Masire	0.0460057
"labor agreement"	0.046003
refusals	0.0459916
spotter	0.045985
easements	0.045971
Relenza	0.0457706
scoutmaster	0.0457169
UNIFIL	0.0456393
"line of products"	0.0455339
Ekeus	0.0455293
"God's Will"	0.0455037
"waiting game"	0.0453856
"European Union's"	0.0453802
"propulsion system"	0.0452618
PNTR	0.0452466
"arms deal"	0.0451968
"compensation package"	0.0451952
ADP	0.0451302
comer	0.0450906
"letter of credit"	0.044996
"dry run"	0.0449824
UNAMET	0.0449556
"point system"	0.0449412
"school of thought"	0.044823
CTBT	0.0447989
"New Deal"	0.0447838
"tender offer"	0.0447231
Rugova	0.0447159
"abrupt change"	0.0446655
Venables	0.044552
"Superintendent Ruben Zacarias"	0.0445378
Chinese-Indonesians	0.0445152
Koch-Weser	0.0445047
utmost	0.0444733
"musical score"	0.0444239
"ABM Treaty"	0.0443835
infallibility	0.0443768
renomination	0.044358
"Secretary-General Boutros Boutros-Ghali"	0.0442491
"Agenda @@@@"	0.0441982
Ghali	0.0441307
"Declaration of Independence"	0.0441166
"British government"	0.0441023
"about @@@ million dollars"	0.0440657
ultimatum	0.0440622
"covert operation"	0.0440594
"Chart Pattana"	0.0440364
"employment contract"	0.0438552
Abdel-Meguid	0.0437788
"Israeli Foreign Ministry"	0.0437664
"medical report"	0.0437422
"Ayatollah Ruhollah Khomeini"	0.0437116
"wage freeze"	0.0436723
"Loretta Sanchez"	0.0436587
"more than @@@,@@@ yuan"	0.0435561
"bank withdrawal"	0.0435147
Ecuadoreans	0.04351
"intercontinental ballistic missile"	0.0434982
intents	0.0434974
"teaching method"	0.043339
politicization	0.043295
candidature	0.0432412
"million yuan"	0.0432363
"test data"	0.0431297
"asking price"	0.0430196
"Lawton Chiles"	0.0430103
"Russian State Duma"	0.0429407
summons	0.0429213
"a few million dollars"	0.0429008
"source code"	0.0428384
"Ethnic Albanians"	0.0427793
Velayati	0.0427664
"One-China Principle"	0.042748
enticement	0.0427274
avionics	0.0427002
"arrest warrant"	0.0426745
Ralston	0.0426113
proviso	0.0425888
double-teams	0.0425799
"John Paul"	0.0425176
abbreviation	0.0425014
"price cut"	0.0422735
"Group of Rio"	0.042152
"tax policy"	0.0421274
"Secretary General Boutros Boutros-Ghali"	0.0421011
Google	0.0420654
))
("American plane" (desc 1373.16) (sims
B-@s	0.167386
warplane	0.165587
MiGs	0.144514
F-@@s	0.143548
Learjet	0.143484
warplanes	0.136874
gunship	0.130857
"Pan Am Flight @@@"	0.128765
MiG-@@s	0.126496
"Pan Am"	0.122821
Apaches	0.122024
gunboat	0.112681
MiG-@@	0.105402
fighter-bombers	0.104915
jetliner	0.103569
B-@@	0.0989669
guardsmen	0.0984858
"Airbus @@@"	0.0968835
planeloads	0.0964251
"police boat"	0.0960723
bomber	0.0954902
DC-@@	0.0935311
airliner	0.0933389
ICBM	0.0928333
planeload	0.0921357
Concordes	0.0918257
F-@@	0.0914061
"trial balloon"	0.0908776
"blue angel"	0.0903009
"Airbus A@@@"	0.0896859
Apache	0.0860986
"container ship"	0.0850761
"National Guardsmen"	0.0836515
Prowler	0.0828739
"military vehicle"	0.0826509
osprey	0.0825984
"patrol ship"	0.0822287
A@@@-@@@	0.0820073
USAir	0.0818593
skydiver	0.0811931
paratroops	0.0782634
chopper	0.0781127
B-@	0.0775112
thou	0.0770794
sherpas	0.0770096
AN-@@	0.0767395
"Flight @@@"	0.0760944
"patrol boat"	0.0760933
"fighter aircraft"	0.0759929
"Flight @@@@"	0.0757271
motorboat	0.0749404
"freight car"	0.0749221
"TWA Flight @@@"	0.0747013
Cassini	0.0743232
"break of serve"	0.074218
"space probe"	0.0740893
"mountain gorilla"	0.0739194
soliders	0.0731808
seagull	0.0725185
"passenger ship"	0.0724761
A-@@	0.0722038
"Delta @"	0.0720431
"fire fighter"	0.0717516
"railroad car"	0.0708503
"booster rocket"	0.0704042
VMs	0.0702945
"jet plane"	0.0698206
pylon	0.0696153
"personnel carrier"	0.0695977
airmen	0.0695504
"oil tanker"	0.0691353
DC-@	0.0690218
C-@@	0.0687522
"World Trade Center"	0.0687268
Tomahawk	0.0686518
around-the-clock	0.0679839
"transport ship"	0.0674909
"army tank"	0.0672506
"Israeli Embassy"	0.0670867
"aircraft carrier"	0.0667521
paratrooper	0.0665546
"broadcasting company"	0.066542
Mig	0.0664875
"railway car"	0.0664144
Cessna	0.0662629
"international flight"	0.0661607
"right whale"	0.0659937
turboprop	0.0657625
warship	0.0657229
aviator	0.0656043
"Air France Concorde"	0.065398
"Cessna @@@"	0.0652375
"naval forces"	0.0650595
squadron	0.0650451
spacewalks	0.0650316
vaulter	0.0647374
raindrop	0.0642787
keystroke	0.064265
Uliassi	0.0641885
F-@@@	0.0639279
tomcat	0.0635404
airship	0.0634164
UNFICYP	0.0633289
"domestic flight"	0.0631345
BSF	0.0627209
infantrymen	0.0626881
"sailing vessel"	0.0626484
mini-buses	0.0624357
lawmen	0.0624251
verifiers	0.0623983
"pleasure boat"	0.0622636
Lander	0.0621677
"electrical device"	0.0618932
"weather satellite"	0.0618485
Carollo	0.0618279
assailant	0.0615368
orangutan	0.0615122
"surface ship"	0.0614527
aerial	0.0614456
"passenger train"	0.0613452
"altar boy"	0.0613377
biplane	0.0612585
dinghy	0.0611149
Scud	0.0608796
"police car"	0.0608377
airforce	0.0607941
cosmonaut	0.0607449
"weapon system"	0.0606935
"federal agent"	0.0606412
MKO	0.0603304
Humvees	0.0599615
destroyer	0.0599614
"census taker"	0.0598788
ValuJet	0.0597489
spacecraft	0.0595988
Concorde	0.0594879
Stealers	0.0594396
ECN	0.0594244
GAM	0.0592437
chinook	0.0586759
"nuclear-powered submarine"	0.0586683
Kenna	0.0583893
provocateurs	0.0583626
firemen	0.0582673
mercenary	0.0580186
Haitian	0.0580141
"EgyptAir Flight @@@"	0.0577807
"FBI agent"	0.0576926
Giacchetto	0.0576423
tractor-trailers	0.0575217
crossers	0.0574426
Dutchmen	0.0573761
"artillery unit"	0.0571549
"law officer"	0.0571472
Hammerhead	0.0570593
Sundin	0.0570426
adenovirus	0.0569705
riverboats	0.0569132
"city bus"	0.0567044
Gendarme	0.0566262
"service break"	0.0565247
"North Africans"	0.0564741
Namibian	0.0559909
freighter	0.0557719
evacuee	0.0556911
Tunisian	0.0555494
"temporary worker"	0.0555364
"bald eagle"	0.0555214
pallbearer	0.0555015
geese	0.0553777
upperclassmen	0.0553696
reservist	0.0552514
speedboat	0.0552381
MD-@@	0.0551078
"air-to-surface missile"	0.0549766
"meteorological satellite"	0.0548595
"Christopher Columbus"	0.0548489
Mayflower	0.0547761
blimp	0.0543652
Picassos	0.0543262
LRA	0.0542626
"atomic bomb"	0.0541408
"fire engine"	0.0541214
"three pitchers"	0.0540951
"gambling casino"	0.0540335
"Union Jack"	0.0540321
"electric current"	0.054026
"oil pipeline"	0.0540058
Ghanaians	0.0540053
"abortion clinic"	0.0539804
im	0.0539082
"milk cow"	0.0538961
extortionist	0.053896
"petrol bomb"	0.0538957
enlistee	0.0537838
MD-@@s	0.0537786
projectile	0.0535274
transnationals	0.0535094
spaceship	0.0534126
"school bus"	0.0533446
))
("American Psychiatric Association" (desc 1571.81) (sims
"American Psychological Association"	0.197957
"American Heart Association"	0.137486
"American Association"	0.121709
"American Medical Association"	0.119616
"American Academy of Pediatrics"	0.112054
"American Bar Association"	0.111466
"National Council of La Raza"	0.106362
"South Pacific Forum"	0.106316
"Arab Parliamentary Union"	0.103144
"Palestine National Council"	0.102647
"Commonwealth Ministerial Action Group"	0.10199
"Olympic Council of Asia"	0.100509
"Jerusalem Committee"	0.100241
"Congressional Black Caucus"	0.0956054
"Secretary General Esmat Abdul-Meguid"	0.095115
"Palestinian National Council"	0.0918803
"U.N. Human Rights Commission"	0.0910892
PNC	0.0889316
"Central Organ"	0.087116
"National Association"	0.0863023
"PLO Executive Committee"	0.0861767
"Provisional Ruling Council"	0.0834931
"Russian Security Council"	0.0834911
"National Rifle Association"	0.0832046
"USA Basketball"	0.0828909
"Congress Working Committee"	0.0828057
"U.S. Chamber of Commerce"	0.0826661
"International Maritime Organization"	0.0814494
UUP	0.08124
"National Association of Broadcasters"	0.0809642
NAACP	0.0802432
"Joint Commission"	0.0795506
"Federal Council"	0.0788166
sub-commission	0.0786084
"Bank for International Settlements"	0.0782507
"Revolutionary Command Council"	0.077944
"Central Council"	0.0761017
"Alcoholics Anonymous"	0.0760229
ama	0.0758879
"Joint Military Commission"	0.0753396
"Organization of Islamic Conference"	0.0750453
WEU	0.0748815
"Securities Industry Association"	0.0739575
"Israeli Knesset"	0.0731538
"World Bank Group"	0.0729075
"Palestinian Council"	0.0721488
"International Society"	0.0715613
"CPC Central Commission for Discipline Inspection"	0.07095
"American Association of Retired Persons"	0.0702403
"United Malays National Organization"	0.0698653
"Eighth National Committee"	0.0693436
"Supreme Soviet"	0.0679775
"National Urban League"	0.0678572
"Thermo Electron"	0.0676188
EOHR	0.0668997
"Inter-Parliamentary Union"	0.0666517
"Non-Aligned Movement"	0.066572
ECB	0.0663819
"Inter-Governmental Authority on Development"	0.0648449
"Allied Pilots Association"	0.0648226
"Monetary Policy Committee"	0.0647749
Meguid	0.0647607
"United Church of Christ"	0.0647142
Pacifica	0.064422
"National Executive Committee"	0.0643224
"Communications Workers of America"	0.0643136
"European Council"	0.0642168
CWC	0.0637971
CPAFFC	0.0637653
"Federal Open Market Committee"	0.0636852
AFL-CIO	0.0635562
"General Council"	0.0632286
"governing board"	0.0631801
"North Atlantic Council"	0.0622622
"Board of Governors"	0.0620065
"U.N. Conference"	0.0618807
"Pascoal Mocumbi"	0.061653
"Executive Committee"	0.0614001
"International Badminton Federation"	0.0612072
"Economic and Social Council"	0.0611576
taskforce	0.0611169
"Council of State"	0.0609361
"Business Council"	0.0607741
NSC	0.0604752
"American Federation"	0.0603682
"Provisional Urban Council"	0.060155
"International Labor Organization"	0.0594497
"National Conference"	0.0594263
IPU	0.059238
"Southern Baptists"	0.0591009
"Y&AMP;R"	0.0587948
"International Brotherhood"	0.058632
JMC	0.0585239
"International Brotherhood of Electrical Workers"	0.0584647
"Arab League"	0.0583451
"Sydney Organizing Committee"	0.0582601
"Organization of American States"	0.0582475
IGC	0.0581059
"Asian Football Confederation"	0.0580776
APA	0.0578308
"Supreme Council"	0.0577808
"National Education Association"	0.0577776
"Abdul Salam Majali"	0.0575892
"mental disorder"	0.0574654
"United Nations Conference"	0.0573015
Russian-U.S.	0.0571043
HKFA	0.057012
"Organizing Committee"	0.0569648
"American Cancer Society"	0.056958
"Damascus Declaration"	0.056839
"Israeli Cabinet"	0.0567054
"National Council"	0.0566695
aldermen	0.0565651
"Greek Orthodox Church"	0.0565044
"Commission on Human Rights"	0.0561843
"Protestant denomination"	0.0560265
CDB	0.0558112
NP	0.0557919
JLG	0.0557673
"Australian Olympic Committee"	0.0557564
"International Civil Aviation Organization"	0.0557358
SDS	0.0557329
"Israeli Foreign Ministry"	0.0556135
"Tom Hayden"	0.0554617
"Organization for Economic Cooperation and Development"	0.0554333
"military commission"	0.0554254
"All-China Journalists Association"	0.0553096
"Consultative Group"	0.0552535
Occidental	0.055248
"British government"	0.0552005
"Republican National Committee"	0.0550426
"Amnesty International"	0.0549595
Kesri	0.0548685
Majali	0.0545827
"Salim Hoss"	0.054328
Wada	0.054289
"Anti-Defamation League"	0.0539838
"National Society"	0.0538587
VFW	0.053849
"Council of Europe"	0.0537695
"British Foreign Office"	0.0534206
"Bankers Trust Corp."	0.0531706
"Joint Liaison Group"	0.052594
"de Charette"	0.0525648
Bundesbank	0.0525595
plc	0.0525328
Laban	0.0524764
"UN Security Council"	0.0521837
"Wlodzimierz Cimoszewicz"	0.0520386
"American Petroleum Institute"	0.0519356
Kostov	0.0518526
"European Central Bank"	0.0517937
guild	0.0515798
"interim committee"	0.0515033
ESCAP	0.051402
CAS	0.0513453
"Iranian Foreign Ministry"	0.0513353
Ruehe	0.0509901
Koskinen	0.0509622
"Gary Locke"	0.0509516
"executive council"	0.0508497
"International Federation"	0.0508368
"United Nations Conference on Trade and Development"	0.0508329
"Western European Union"	0.0505968
"Federal Assembly"	0.0504446
"Democratic Leadership Council"	0.0503011
"Royal Government"	0.0502634
"United States Senate"	0.0502071
ACWF	0.0501949
"Southern Baptist Convention"	0.0500782
China-U.S.	0.0499717
"International Amateur Athletic Federation"	0.0498647
"National League for Democracy"	0.0498298
"Constitutional Assembly"	0.0498091
"Indonesian Armed Forces"	0.049785
"World Tourism Organization"	0.0497838
belligerents	0.0497276
"General Committee"	0.0495656
"National Council of Churches"	0.049565
"American Legion"	0.0493231
"Los Angeles City Council"	0.0493018
"United Nations Security Council"	0.0491064
ACFTU	0.0491
"Wen Wei Po"	0.0490697
"Palestinian Legislative Council"	0.049056
"U.S. Federal Reserve"	0.0488941
Niyazov	0.0488786
"Asia Pacific Economic Cooperation"	0.0488495
Cem	0.0488219
"Special Session"	0.0486938
"MindSpring Enterprises"	0.048667
"commercial law"	0.0486599
"Academy of Motion Picture Arts"	0.048655
"Mikulas Dzurinda"	0.0486284
"Ricardo Alarcon"	0.0485587
"John Bruton"	0.0484858
storekeeper	0.048452
"U.S. Olympic Committee"	0.0484438
UNCTAD	0.0483248
"Congress (NPC) Standing Committee"	0.0482693
))
("American Psycho" (desc 1571.97) (sims
"Primary Colors"	0.116188
"Great Gatsby"	0.108258
"Ideal Husband"	0.108176
Moby-Dick	0.0994932
"Green Mile"	0.0951694
Lolita	0.0950443
"Cider House Rules"	0.0924263
"wonder boy"	0.0912618
"Perfect Storm"	0.0863782
"Fight Club"	0.0854253
Ulysses	0.0845367
Catch-@@	0.0843533
affliction	0.084249
"Thin Red Line"	0.0823351
"Cruel Intentions"	0.0815083
"Don Quixote"	0.0811993
"Double Jeopardy"	0.0799776
"Space Cowboys"	0.0797177
"Wild Party"	0.0775815
"Anna Karenina"	0.0733086
"Starr Report"	0.0732511
Stigmata	0.0720103
"Princess Mononoke"	0.0719026
"Les Miserables"	0.0704637
"Great Expectations"	0.0686782
"American Pie"	0.066839
"Iron Giant"	0.0662703
"Mickey Blue Eyes"	0.0662047
"Mod Squad"	0.0655445
Porgy	0.0655299
"Eyes Wide Shut"	0.0654969
"High Art"	0.0640864
"Sleepy Hollow"	0.0633582
novella	0.0630301
"Straight Story"	0.0622478
"Hollow Man"	0.0620777
"Civil Action"	0.061702
Dracula	0.0611612
U-@@@	0.060455
"Full Monty"	0.0603534
Mulan	0.0600172
"Mighty Joe Young"	0.0588082
deliverance	0.0586834
"Lethal Weapon @"	0.0586477
"Moby Dick"	0.0584018
"Saving Private Ryan"	0.0579304
"King Lear"	0.057581
"Little Voice"	0.0567641
"Blair Witch Project"	0.0565956
"Phantom Menace"	0.0561696
trilogy	0.0558449
"Truman Show"	0.0550853
Hannibal	0.0550175
Cormier	0.0543144
"Nurse Betty"	0.0540911
"chicken run"	0.0540622
Exorcist	0.0528345
"short story"	0.0528151
EdTV	0.0527923
"pitch black"	0.0523917
"Ministry of Planning"	0.0521005
Madeline	0.0520777
"American Beauty"	0.0511283
"Night Fever"	0.0510688
"Tom Jones"	0.0507058
RealPlayer	0.0506674
"Titan A.E."	0.050481
"Beauty Queen"	0.0503787
"Belmont Learning Center"	0.0502759
"Apt Pupil"	0.0502028
Rashomon	0.0500746
"Blue Room"	0.0497474
"literary work"	0.0496787
ripley	0.0493675
bestseller	0.0487915
operetta	0.0486012
Coe	0.0479235
Masterworks	0.0478795
"Random Hearts"	0.0477845
"Dudley Do-Right"	0.0476551
"John Irving"	0.0472868
"Thomas Crown Affair"	0.0472058
"Smoke Signals"	0.046811
Trainspotting	0.0463799
C-section	0.0463652
"Stuart Little"	0.0461655
Frankenstein	0.0459908
Rushmore	0.04591
"Runaway Bride"	0.0458991
"Declaration of Independence"	0.045819
Mockingbird	0.0455643
Futurama	0.0455063
"Jurassic Park"	0.0454655
Balzac	0.0451263
ragtime	0.0449375
"Christmas carol"	0.0445806
encyclical	0.0443972
Electra	0.0443158
"Get Real"	0.0441551
E-ZPass	0.0439336
Wilde	0.0431747
"Deep Impact"	0.043103
Evita	0.0430506
Carrie	0.0430418
ROUNDERS	0.0427517
Polgar	0.0427376
haiku	0.0423695
"Akira Kurosawa"	0.0422566
"Erin Brockovich"	0.0417219
psalm	0.0414718
Dolittle	0.0414158
Sumaye	0.0413241
Lue	0.0412598
"Galaxy Quest"	0.0412397
"El Mundo"	0.041008
"Streetcar Named Desire"	0.04088
McEwan	0.0408719
bastard	0.0407063
"Toni Morrison"	0.0406104
"medical report"	0.0405792
epilogue	0.0405633
"Hidetoshi Nakata"	0.0402838
Emma	0.040158
"Side Man"	0.0401239
"American Century"	0.0400766
))
("American Psychological Association" (desc 1049.83) (sims
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"American Heart Association"	0.179876
"American Academy of Pediatrics"	0.165994
"American Bar Association"	0.149845
"American Association"	0.127557
"National Council of La Raza"	0.118985
"Commonwealth Ministerial Action Group"	0.111966
"American Medical Association"	0.108585
"American Jewish Committee"	0.107699
"American Federation"	0.0999525
"American Lung Association"	0.0998282
"Jerusalem Committee"	0.0990884
"Anti-Defamation League"	0.098817
"South Pacific Forum"	0.0966421
"Defense Fund"	0.0961517
"Arab Parliamentary Union"	0.0956939
"Bank for International Settlements"	0.0946032
"Palestine National Council"	0.092261
"U.S. Chamber of Commerce"	0.091142
"Sino-British Joint Liaison Group"	0.0909991
"American Cancer Society"	0.0904407
"International Society"	0.0894201
"General Council"	0.0890468
"National Education Association"	0.0880106
"Violence Policy Center"	0.0876074
"Rainbow/PUSH Coalition"	0.0872332
"Russian Security Council"	0.0871979
"National Association"	0.0869139
"Palestinian National Council"	0.0864919
"European Bank for Reconstruction"	0.0860932
belligerents	0.0857484
"China Association for Science"	0.0855318
"Catholic University"	0.084046
"Democratic Leadership Council"	0.0831998
"Cato Institute"	0.0828333
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JLG	0.0778859
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"Central Organ"	0.0768196
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"PLO Executive Committee"	0.0752864
Gastroenterologist	0.0752745
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"Union of Concerned Scientists"	0.0726544
CCPIT	0.0723708
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IGC	0.0712903
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"Provisional Ruling Council"	0.070991
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"Federal Council"	0.0702295
"Congressional Black Caucus"	0.0700552
"World Petroleum Congress"	0.069977
"American Civil Liberties Union"	0.0697269
"European Council"	0.0696543
"U.N. Conference"	0.0696192
"Supreme Council"	0.0694184
"Local @@"	0.0693411
"Kennedy Center"	0.0688827
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ama	0.0678618
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AFL-CIO	0.0666841
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OCA	0.0652032
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KKK	0.0645742
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CWC	0.0644601
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"National Abortion and Reproductive Rights Action League"	0.0642067
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CCF	0.0635518
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NAACP	0.0624583
"International Rescue Committee"	0.0623424
UUP	0.0619126
PASOK	0.0616006
"Supreme Soviet"	0.0614774
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CPAFFC	0.0607875
PBA	0.0606629
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"National Organization"	0.060555
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PNC	0.0601348
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"Public Citizen"	0.0600973
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NARAL	0.0598192
YankeeNets	0.059819
"newspaper editor"	0.0597616
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"Public Service Commission"	0.0596504
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"RFK Stadium"	0.059047
Russian-U.S.	0.0589576
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"Federal Open Market Committee"	0.0588566
"Southern Baptists"	0.0588442
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"Joint Liaison Group"	0.0585493
"Third Session"	0.0585487
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"World Economic Forum"	0.0585189
"Inter-Governmental Authority on Development"	0.0585082
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"Board of Supervisors"	0.0583821
"Commission on Human Rights"	0.0583502
"Global Environment Facility"	0.058335
"Sierra Club"	0.0582202
"Legal Aid Society"	0.0580522
"Thai Farmers Bank"	0.0579941
taskforce	0.0579668
Urology	0.0579436
"U.S. Golf Association"	0.0576135
SCLC	0.0576058
"National Zoo"	0.0574809
"Petroleum Exporting Countries"	0.0574079
"Nihon Keizai Shimbun"	0.0572494
"Rotary International"	0.0571612
"National Association of Realtors"	0.0571245
"Atlanta Committee"	0.0570756
"General Services Administration"	0.0568866
"Cincinnati Enquirer"	0.0568551
UFW	0.0566964
"governing board"	0.056466
"Center for Responsive Politics"	0.0563753
"smart money"	0.0562846
"Hearst Newspapers"	0.0562364
"Chinese Olympic Committee"	0.0561802
"Council of Ministers"	0.056166
"Republican National Committee"	0.0560782
"International Federation"	0.056044
"main office"	0.0560264
Sino-British	0.0559185
"Kaiser Family Foundation"	0.05588
"Health and Welfare Ministry"	0.0557988
"United Malays National Organization"	0.0557967
"Dana-Farber Cancer Institute"	0.0556636
"CBS Corp."	0.0556067
))
("American Red Cross" (desc 6025.26) (sims
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"American Lung Association"	0.162046
"American Cancer Society"	0.156841
"American Heart Association"	0.139853
"Federal Emergency Management Agency"	0.133008
"Family Research Council"	0.124916
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"Association of Flight Attendants"	0.118447
"National Republican Congressional Committee"	0.114849
"Texas Department of Public Safety"	0.11309
"National Organization"	0.110758
"Handgun Control"	0.109778
"Securities Industry Association"	0.10904
"United Way"	0.108351
FEMA	0.106564
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AFL-CIO	0.105194
"CBS Sports"	0.104635
UNICEF	0.101631
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NAACP	0.100925
"Audubon Society"	0.100445
"National Association of Broadcasters"	0.100399
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"U.N. World Food Program"	0.100076
"Urban League"	0.0998314
"Health Department"	0.0991865
"Environmental Protection Agency"	0.0987521
"Education Department"	0.0985729
Greenpeace	0.0983061
ACLU	0.0962937
"civil defense"	0.0958462
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"League of Women Voters"	0.0931315
"European Bank for Reconstruction"	0.0921751
"Humane Society"	0.0920628
"American Civil Liberties Union"	0.0911339
"Labor office"	0.0910771
"National Park Service"	0.0904023
"Drug Enforcement Administration"	0.0902724
"Handgun Control Inc."	0.0894319
"Common Cause"	0.0891103
"National Association"	0.0890439
SCLC	0.0887387
UNAIDS	0.0886927
USAID	0.0886467
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"National Federation"	0.0876516
UNHCR	0.0876026
"Salt Lake Organizing Committee"	0.0874196
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CCF	0.0864473
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CDC	0.0828985
AARP	0.0825986
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BIA	0.0819443
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NCI	0.0811868
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"National Trust"	0.0803118
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MSF	0.0802342
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"National Urban League"	0.0798127
"Russian Space Agency"	0.0795086
"World Wildlife Fund"	0.0794956
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"U.S. Olympic Committee"	0.0792539
CPAFFC	0.0789761
CAS	0.0787105
ATF	0.0785936
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"Republican National Committee"	0.0781869
"Energy Department"	0.0777602
"Nature Conservancy"	0.0774926
"Department of Veterans Affairs"	0.0770762
"Department of Agriculture"	0.0769609
ICRC	0.076837
"American Association of Health Plans"	0.0767232
"NFL Players Association"	0.0767008
"Health Care Financing Administration"	0.0766038
"Better Business Bureau"	0.076461
"Motion Picture Association of America"	0.0764234
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NARAL	0.0762305
"American Jewish Committee"	0.0761799
"Amnesty International"	0.0761662
"chamber of commerce"	0.0757636
"ABC Sports"	0.0756806
"National Aeronautics and Space Administration"	0.075317
"Peace Corps"	0.0752271
DEA	0.0751827
"Wine Institute"	0.0748241
EPA	0.0747131
"National Cancer Institute"	0.0745996
"Project Hope"	0.0745021
OSCE	0.0737613
"Air Transport Association"	0.0737181
"Department of Corrections"	0.0731742
NTSB	0.0730757
"Central Intelligence Agency"	0.0729655
"secret service"	0.0728821
"Olympic Council of Asia"	0.0727861
"National Science Foundation"	0.0727768
"Board of Elections"	0.0726914
"Boys Ranch"	0.0726506
"National Association of Securities Dealers"	0.0725773
"Environmental Defense Fund"	0.0721633
DLC	0.0721461
"Sydney Organizing Committee"	0.0720916
NIH	0.0720456
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"Democratic National Committee"	0.0716102
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"Con Edison"	0.0714027
"U.S. Customs Service"	0.0711388
FAO	0.0710999
UNESCO	0.0710645
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ADL	0.0709861
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"customs service"	0.0707718
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"U.S. Geological Survey"	0.0706041
"National Association of Manufacturers"	0.070588
"Department of Health"	0.0705027
"International Ski Federation"	0.0703966
CWA	0.070052
"fire department"	0.0699205
"Forest Service"	0.0698387
"girl scout"	0.069724
"Department of Environmental Protection"	0.0696289
"Defense Department"	0.0695286
Dana-Farber	0.0692916
"Olympic Committee"	0.0692827
"College Board"	0.0692107
NEA	0.0692004
Smithsonian	0.0691737
"American Federation"	0.0691539
Teamsters	0.0691073
"National Election Committee"	0.068806
WFP	0.0685862
NSA	0.0682841
"International Amateur Athletic Federation"	0.0682201
"Transportation Department"	0.0682187
USOC	0.0680287
"Canadian International Development Agency"	0.0679377
ILO	0.0678364
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"U.S. Environmental Protection Agency"	0.0677163
"China National Petroleum Corporation"	0.0676179
Americorps	0.067526
GSS	0.0674408
"Bureau of Land Management"	0.0674184
"U.S. Soccer Federation"	0.0673718
"Human Rights Campaign"	0.0672145
"Chinese Foreign Ministry"	0.0668639
"National Abortion and Reproductive Rights Action League"	0.0668529
"U.S. Information Agency"	0.0668023
"European Commission"	0.066801
"United Nations High Commission for Refugees"	0.0667139
"American Legion"	0.0666619
"Park Service"	0.0666114
"Consumers Union"	0.0666098
"World Vision"	0.0663966
"Ministry of Education"	0.0663512
"Defense Agency"	0.0662911
"Scotland Yard"	0.0661566
"Royal Ulster Constabulary"	0.0661278
"American Bankers Association"	0.0659464
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("American Revolution" (desc 4097.85) (sims
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"World War I"	0.100844
"A.P Indy"	0.0789737
"Spanish-American War"	0.0783565
"Korean War"	0.0719541
WWII	0.0712502
"Desert Storm"	0.0706135
"French Revolution"	0.0679602
"Seattle Slew"	0.0663989
"Great War"	0.0663756
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"Yuan Dynasty"	0.0639544
"Operation Desert Storm"	0.0633273
holocaust	0.0600132
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"Persian Gulf War"	0.0559823
"Manhattan Project"	0.0551525
Chaucer	0.0518847
"Ming Dynasty"	0.0511889
"Western Han Dynasty"	0.0503914
Zeus	0.0496924
"Spanish Civil War"	0.0490161
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"John J. Gotti"	0.0487497
"race riot"	0.0486452
"Thomas Jefferson"	0.0485587
"Song Dynasty"	0.0485474
Gestapo	0.0480503
"David Sibandze"	0.0473625
"Vietnam War"	0.0467716
confederacy	0.0461065
"Qing Dynasty"	0.0445227
uprising	0.0437185
"Eugene O'Neill"	0.0435613
"about @@@@"	0.0421037
"Red Army"	0.0416478
"reform movement"	0.0415983
"Infantry Division"	0.0413235
"King Arthur"	0.0407222
))
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"East Los Angeles"	0.082279
"modern world"	0.0741272
Thomasville	0.0669747
"East Texas"	0.0650693
"South Georgia"	0.0646603
"Marin County"	0.0645978
"Paradise Valley"	0.0643082
Appalachia	0.064006
"Bekaa Valley"	0.0638529
Igloo	0.0617833
Wallingford	0.0582119
"South Bronx"	0.0571483
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Miami-Dade	0.0567836
Scarsdale	0.0566438
Laramie	0.0566255
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Bensonhurst	0.0559081
"Hollywood Hills"	0.0556037
Westfield	0.0552831
"Huntington Beach"	0.0549044
MCAS	0.0547808
rainforest	0.0547405
Astoria	0.0544765
Judea	0.0544732
"Port St. Lucie"	0.0534883
Claremont	0.0529079
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colonias	0.0520604
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Charlestown	0.0508755
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Montclair	0.0506973
Tarzana	0.0504369
Lawrenceville	0.050412
"Westchester County"	0.0503125
"Kennewick Man"	0.0502868
Talmud	0.0501858
ASHEVILLE	0.0499117
Provence	0.0491815
self-preservation	0.0490728
"New Canaan"	0.0489036
Chatham	0.0487909
Morristown	0.0485934
"chicken coop"	0.0482574
"Sonoma County"	0.0481412
"police precinct"	0.0480579
Encino	0.047796
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"late @@@@'s"	0.0475366
Gibraltar	0.0474143
"street clothes"	0.0473831
"Arabian Nights"	0.0473055
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"Eastern Slavonia"	0.0471535
Malibu	0.0470996
"Washington Heights"	0.0469225
"North Beach"	0.0464834
Eureka	0.046057
"Blair Witch"	0.0459138
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"New York State"	0.0456265
"subatomic particle"	0.0455663
Peekskill	0.0452907
"French capital"	0.0452449
POCAHONTAS	0.0450089
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Princeville	0.0447774
"trailer park"	0.0446836
Hattiesburg	0.0446439
fishbowl	0.0446155
Riverdale	0.0444952
Paterson	0.0441753
"East Berlin"	0.0440657
Aramaic	0.0439636
Berkshires	0.0438152
"Sussex County"	0.0435466
Darien	0.0435327
"public eye"	0.043296
Tarrytown	0.0431534
"Boland Hall"	0.0430964
"Warren County"	0.0429326
Clifton	0.0429065
Martinique	0.0428826
Ridgewood	0.0425165
"Boynton Beach"	0.0424412
"here and now"	0.0424289
Holyoke	0.0422987
"sign language"	0.0422876
"fantasy world"	0.042256
Dubuque	0.0422092
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Putumayo	0.0421391
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"Woodland Hills"	0.041949
statehouses	0.0419158
"income bracket"	0.0418138
"Crown Heights"	0.0415637
hovel	0.0414448
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Falmouth	0.0413744
"East Orange"	0.0412136
"Round Rock"	0.0406986
"Union City"	0.0406696
Danville	0.0406291
"Newport Beach"	0.0405922
"Mississippi Delta"	0.0405598
"Old West"	0.0404901
LAKEWOOD	0.0403926
Guadeloupe	0.0402456
shanty	0.0402114
"St. John's wort"	0.0402075
"hard times"	0.0401338
hereafter	0.040117
"Earth's surface"	0.040078
"South Boston"	0.0400472
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("American state" (desc 1336.18) (sims
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"Parris Glendening"	0.108114
"Islamic Conference"	0.0909798
"Connie Morella"	0.0837071
"Kathleen Kennedy Townsend"	0.0832552
"Eastern Shore"	0.0769316
"Australian state"	0.0760455
"Barbara Mikulski"	0.0743091
"African Union"	0.0630085
"World Bank Group"	0.0624836
"Don Young"	0.0611289
"African Unity"	0.0593633
"federal district"	0.0585721
"Richard Bryan"	0.0584754
MSF	0.0582851
"trade area"	0.0560403
"Greg Ganske"	0.0554313
"Minas Gerais"	0.0545867
"Paul Goldstein"	0.0538944
"State Bank of Pakistan"	0.0518631
SAFY	0.0515953
"Gary Johnson"	0.0511847
"Tourism Authority of Thailand"	0.0510495
"Sue Kelly"	0.0509978
"North West Frontier Province"	0.0507901
Rangoon	0.0507869
B-@s	0.0499163
"Harry Reid"	0.0497718
"Medical Society"	0.0497461
"Palestinian National Council"	0.0495065
"executive agency"	0.0491772
Michoacan	0.0477678
Arizonan	0.0476098
"Bangladesh Bank"	0.0476074
"Billy Tauzin"	0.0471836
"Philippine Central Bank"	0.0470074
"Frank Murkowski"	0.0469573
PBC	0.0461336
"professional association"	0.0460173
"financial officer"	0.0456125
Shashi	0.0455531
PNC	0.0455241
member-states	0.045511
"political detainee"	0.0454411
"NFL Players Association"	0.0449006
"Christine Todd Whitman"	0.0446945
"Marge Roukema"	0.0445825
"U.S. Customs Service"	0.044485
"Standard Oil"	0.0440696
"trucking industry"	0.0439701
"Palestine National Council"	0.0439471
auditor-general	0.0438918
Chinese-Americans	0.0437889
"Jerusalem Committee"	0.043687
"Thomson Multimedia"	0.0435533
"Mary Landrieu"	0.0433878
registrant	0.0433632
"Economic Cooperation Organization"	0.0432652
"juvenile court"	0.0427595
"Algerian capital"	0.042622
"People's Bank of China"	0.0425919
"Transportation Department"	0.0425799
Ljubljana	0.0423986
ignominy	0.042297
ACLU	0.0422648
seminarian	0.0422007
leper	0.042156
drownings	0.0420332
"Central Bank of Kenya"	0.0419592
VMs	0.0418669
"Bank of Uganda"	0.0418166
harvesting	0.0417394
"Home Ministry"	0.0416468
"Lone Star State"	0.0413702
"Hainan Province"	0.04123
Puebla	0.0411021
"Quintana Roo"	0.0408906
Edo	0.0408717
deserter	0.0408618
"Pipeline Safety"	0.0407645
governorates	0.0407109
"bankruptcy case"	0.0405699
Caritas	0.0403068
"Frank Lautenberg"	0.04027
"Arab Parliamentary Union"	0.040057
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("American Stock Exchange" (desc 5431.67) (sims
NYSE	0.312859
"New York Stock Exchange"	0.249978
"Big Board"	0.242125
"Nasdaq Stock Market"	0.196541
AMEX	0.173471
"London Stock Exchange"	0.147705
"Pacific Exchange"	0.144541
Nasdaq	0.140752
"Toronto Stock Exchange"	0.139833
"Hong Kong Stock Exchange"	0.133593
"Tokyo Stock Exchange"	0.120537
"stock exchange"	0.105113
"Stock Exchange of Hong Kong"	0.103141
"Standard &AMP; Poor"	0.0972584
"Securities Industry Association"	0.0910889
"New York Mercantile Exchange"	0.084556
"National Association of Securities Dealers"	0.0834199
"First Section"	0.0779309
"Jakarta Stock Exchange"	0.0779102
"Shanghai Stock Exchange"	0.0764373
"Bankers Trust Corp."	0.0754999
"Kuwait Stock Exchange"	0.0745023
ECNs	0.0744166
"Second Board Index"	0.0718381
"Chicago Board of Trade"	0.0697928
"Stock Exchange of Thailand"	0.0695777
Bourse	0.0676207
KLSE	0.0664513
"Lotus Development Corp."	0.064217
Broadcast.com	0.0635748
"Cendant Corp."	0.062936
"Chicago Mercantile Exchange"	0.0624938
NASD	0.0624592
"futures exchange"	0.0623017
"BankBoston Corp."	0.0613282
Composite	0.0597565
"European Bank for Reconstruction"	0.0586059
"RJR Nabisco"	0.0577928
"CBS Corp."	0.0576364
"FTSE @@@"	0.0574683
"BankAmerica Corp."	0.0574212
Paribas	0.0558492
"Hughes Electronics"	0.0551437
"National Register"	0.055048
DSE	0.0549435
BSE-@@@	0.0545783
"futures market"	0.054487
"HBO &AMP; Co."	0.0536663
Instinet	0.0535036
"U S West Inc."	0.0533883
"three pitchers"	0.0533156
"Gillette Co."	0.0531539
Bovespa	0.0530767
ITT	0.052808
"Fred Meyer"	0.0527689
"S&AMP;P"	0.0526913
PSE	0.0524291
"Learning Co."	0.0522265
"Shenzhen Stock Exchange"	0.0516278
"Tele-Communications Inc."	0.0514165
"Olympic Committee"	0.051227
"furniture company"	0.0510929
BankAmerica	0.0504659
DAX	0.0503695
"America West Airlines"	0.0500774
"Hambrecht &AMP; Quist"	0.0499483
Comsat	0.0499281
FTSE	0.0498037
"Cuban American National Foundation"	0.0495862
"brokerage firm"	0.0495672
"London Metal Exchange"	0.0494569
"Dhaka Stock Exchange"	0.0493708
"Mobil Corp."	0.0493677
"Wine Institute"	0.0493389
"American Jewish Committee"	0.0492896
"Omnicom Group"	0.0491577
"Times Mirror Co."	0.0487063
"CAC @@"	0.0486366
"Council of Economic Advisers"	0.0485535
CSRC	0.0482647
"Xetra Dax"	0.0482162
"two pitchers"	0.0480195
"Monsanto Co."	0.0476937
"Symantec Corp."	0.0476294
"House Budget Committee"	0.0473814
"Congressional Black Caucus"	0.0473434
"share price"	0.0473062
"Chrysler Corp."	0.0471305
"Bay Networks"	0.0470114
"National Republican Congressional Committee"	0.0468745
"Columbia Pictures"	0.0468545
"Texaco Inc."	0.046756
"Dow Jones Industrial Average"	0.0467431
"Dow Jones &AMP; Co."	0.0467019
"US Congress"	0.0466888
"Saks Fifth Avenue"	0.0464774
"U.S. Trust"	0.0463996
"Levi Strauss &AMP; Co."	0.0462806
"New Korea Party"	0.0460351
TheStreet.com	0.04582
"Fallon McElligott"	0.0457392
"Motion Picture Association of America"	0.0457051
"Senate Budget Committee"	0.0456326
"Frontier Corp."	0.0454613
"Democratic Leadership Council"	0.0451225
"Dow Jones"	0.0450943
"U.S. Soccer Federation"	0.0450254
"Kosovo Verification Mission"	0.0449579
"securities market"	0.0449477
Frankfurt	0.0449075
"Netscape Communications"	0.0447822
"Sydney Organizing Committee"	0.044646
SmithKline	0.0444587
industrials	0.0444568
Publicis	0.0443414
"Transparency International"	0.0442321
"Salomon Brothers"	0.0441773
CAC	0.0441587
"Donaldson, Lufkin &AMP; Jenrette"	0.0441359
AIG	0.0441295
"Federal Council"	0.0437154
STI	0.0435521
"publishing company"	0.0435212
"Labor office"	0.0435038
Petrofina	0.0434789
"Robertson Stephens"	0.0434278
"Recording Industry Association of America"	0.0433909
"Netscape Communications Corp."	0.0433784
"UAL Corp."	0.0433263
Alcan	0.0433168
"Orange PLC"	0.0432787
theglobe.com	0.0432253
"International Rescue Committee"	0.0432044
"Time Inc."	0.0431676
Medtronic	0.0430014
"Ameritech Corp."	0.042983
"Rolls-Royce Motor Cars"	0.0427921
"Air Line Pilots Association"	0.0426332
"Northeast Utilities"	0.0425098
Interpublic	0.0423322
"small cap"	0.0422098
"Democratic Senatorial Campaign Committee"	0.0421662
Bestfoods	0.0419638
LIFFE	0.0419405
sharemarket	0.0417722
"Times Co."	0.0417034
MCA	0.0416971
"International Ski Federation"	0.0416707
"Merrill Lynch"	0.0415543
Lipper	0.0414682
"Warner-Lambert Co."	0.0414305
"Securities and Exchange Commission"	0.0414238
"Deutsche Bank AG"	0.0414048
"Atlantic Richfield Co."	0.0413515
"English Football Association"	0.0413485
"producer price"	0.0412413
"Federated Department Stores"	0.0412337
SFC	0.0411301
XYLAN	0.0410872
"Hong Kong Telecom"	0.0410546
brokerage	0.0410485
NSC	0.041037
"Vanguard Group"	0.0410155
"Hongkong Telecom"	0.0407022
"Hang Seng"	0.0406102
"savings bank"	0.0406061
Nextel	0.0405863
COLTEC	0.0405566
"MCI Communications Corp."	0.0405028
"parcel of land"	0.0403414
"Universal Pictures"	0.0402938
Orangina	0.0402295
"Sprint Corp."	0.0402178
WorldCom	0.0401864
Intuit	0.0401697
"Memorial Sloan-Kettering Cancer Center"	0.0401584
Tropicana	0.0400761
ALZA	0.0400662
NationsBank	0.0400542
"Industrial Index"	0.040044
IPC	0.0400138
"USA Networks"	0.0400094
))
("American Todd Martin" (desc 1402.6) (sims
"American Chanda Rubin"	0.416695
"Australian Mark Philippoussis"	0.338478
"South African Amanda Coetzer"	0.328159
"Alberto Berasategui"	0.264454
"Felix Mantilla"	0.257817
"Jonas Bjorkman"	0.254584
"Ruxandra Dragomir"	0.252181
"Sandrine Testud"	0.251905
"Russian Yevgeny Kafelnikov"	0.245245
"Todd Martin"	0.240057
"Karol Kucera"	0.239044
"Julie Halard-Decugis"	0.238301
"Scott Draper"	0.237763
"Mark Philippoussis"	0.236157
"Dominique Van Roost"	0.236127
"Andrei Medvedev"	0.233014
"Cedric Pioline"	0.232449
"Mariano Puerta"	0.231912
"Iva Majoli"	0.230453
"Naoko Sawamatsu"	0.230304
"Thomas Enqvist"	0.229303
"Natasha Zvereva"	0.229258
"Carlos Moya"	0.22857
"Francisco Clavet"	0.227055
"Mary Pierce"	0.226881
"Arnaud Clement"	0.223304
"Thomas Johansson"	0.222143
"American Michael Chang"	0.22168
"Richard Krajicek"	0.220983
"Dominik Hrbaty"	0.220476
Siemerink	0.220203
"Ai Sugiyama"	0.219889
"Tommy Haas"	0.219404
"Alex Corretja"	0.218149
"Pat Rafter"	0.216102
"Irina Spirlea"	0.21525
"Fernando Meligeni"	0.214973
"Patty Schnyder"	0.214065
"Goran Ivanisevic"	0.213608
"Tim Henman"	0.212085
"Magdalena Maleeva"	0.211775
"Nathalie Tauziat"	0.211496
"Conchita Martinez"	0.21026
"Sergi Bruguera"	0.209864
"Anke Huber"	0.208884
"Wayne Ferreira"	0.207754
"Chanda Rubin"	0.207502
"Tamarine Tanasugarn"	0.207402
"Richard Fromberg"	0.207079
"Judith Wiesner"	0.207041
"Marc Rosset"	0.20634
"Anne-Gaelle Sidot"	0.206089
"Patrick Rafter"	0.204259
"Greg Rusedski"	0.203999
"Byron Black"	0.203193
"Elena Likhovtseva"	0.20291
"Michael Chang"	0.200281
"Albert Costa"	0.200169
"Magnus Norman"	0.200002
"Amanda Coetzer"	0.197587
"Albert Portas"	0.196766
"Gustavo Kuerten"	0.196015
"Lleyton Hewitt"	0.195761
"Hicham Arazi"	0.195495
"Marat Safin"	0.194499
"American Lindsay Davenport"	0.194456
"Juan Carlos Ferrero"	0.194192
"Magnus Gustafsson"	0.190106
"Daniel Nestor"	0.189815
"Mark Woodforde"	0.189722
"Nicolas Kiefer"	0.189616
"Amelie Mauresmo"	0.188524
"Arantxa Sanchez Vicario"	0.186154
"Nathalie Dechy"	0.185475
"Andrea Gaudenzi"	0.184961
"Kenneth Carlsen"	0.184259
Corretja	0.183483
"Thomas Muster"	0.180811
"Jennifer Capriati"	0.180595
"Jan-Michael Gambill"	0.180135
"Elena Dementieva"	0.17946
"Briton Greg Rusedski"	0.17933
"Barbara Schett"	0.179237
"Magnus Larsson"	0.179097
"Arantxa Sanchez-Vicario"	0.17859
"Yevgeny Kafelnikov"	0.178435
"Sarah Pitkowski"	0.175808
"David Prinosil"	0.174307
"Jim Courier"	0.174297
"Vincent Spadea"	0.174201
"Brenda Schultz-McCarthy"	0.172215
"Nicolas Lapentti"	0.171868
"Christian Ruud"	0.171847
"Jason Stoltenberg"	0.171723
"Younes El Aynaoui"	0.170619
"American Andre Agassi"	0.170224
"Boris Becker"	0.170157
"Arnaud Boetsch"	0.16897
"Petr Korda"	0.168466
"Juan Antonio Marin"	0.168013
"Marcelo Rios"	0.167028
"Venus Williams"	0.166819
Coetzer	0.166554
Kuerten	0.166203
Henman	0.166121
"Arnaud Di Pasquale"	0.16423
"Carlos Costa"	0.163553
"American Pete Sampras"	0.162058
"Brett Steven"	0.161957
"Jerome Golmard"	0.161349
"Andre Agassi"	0.159777
"Serena Williams"	0.159355
"Fung Permadi"	0.158126
"Peter Rasmussen"	0.157877
"MaliVai Washington"	0.157646
"Sjeng Schalken"	0.157352
"Jana Novotna"	0.156923
"Peter Gade Christensen"	0.156777
Zvereva	0.156725
Kroslak	0.156495
"Todd Woodbridge"	0.155842
"Galo Blanco"	0.155123
"Wayne Black"	0.154865
"Gong Zhichao"	0.153703
Puerta	0.15345
"Michael Stich"	0.152947
"Fabrice Santoro"	0.152607
"Lisa Raymond"	0.151364
Nicol	0.150215
"Paul Haarhuis"	0.149714
"Mary Joe Fernandez"	0.147745
Kucera	0.147378
"Sabine Appelmans"	0.147225
"Steffi Graf"	0.147209
"Kimberly Po"	0.146868
"Sebastien Grosjean"	0.146521
"three match points"	0.146249
"Silvia Farina"	0.145672
Bjorkman	0.145163
"Mark Knowles"	0.144459
"Lindsay Davenport"	0.144404
Enqvist	0.144142
"Mikael Tillstrom"	0.143848
"Anna Kournikova"	0.143329
Krajicek	0.143294
"Pete Sampras"	0.142993
"Barbara Paulus"	0.142602
"Tatiana Panova"	0.141687
"Nicolas Escude"	0.141665
"Ye Zhaoying"	0.141643
"Andres Gomez"	0.139546
"Leander Paes"	0.139477
"Magui Serna"	0.139065
"Yayuk Basuki"	0.138948
Safin	0.138732
"Jan-Ove Waldner"	0.138659
"Davide Sanguinetti"	0.138256
"Marcelo Filippini"	0.138065
Dragomir	0.137701
"Monica Seles"	0.136721
"Stefan Edberg"	0.136583
Sanchez-Vicario	0.136538
"Justin Gimelstob"	0.136447
"Roger Federer"	0.13617
"Jiri Novak"	0.135805
"Wang Liqin"	0.135335
Spirlea	0.134759
Testud	0.134289
Kiefer	0.133862
"Jansher Khan"	0.133763
"Karim Alami"	0.133522
"Bohdan Ulihrach"	0.133222
Agassi	0.132856
"Dai Yun"	0.132594
Capriati	0.132234
Kafelnikov	0.132179
"Sargis Sargsian"	0.131174
Pioline	0.13087
Mantilla	0.130621
"Franco Squillari"	0.130424
Berasategui	0.129683
Ivanisevic	0.129268
"Jelena Dokic"	0.129044
"Hernan Gumy"	0.128951
"Andrei Pavel"	0.128887
"Javier Sanchez"	0.128835
"Daniel Vacek"	0.127683
Halard-Decugis	0.127581
"Alberto Costa"	0.127537
rios	0.126913
Rusedski	0.126291
"Heryanto Arbi"	0.126256
"Martina Hingis"	0.125792
"Florencia Labat"	0.125624
"Martin Damm"	0.122728
"Southwest Missouri State"	0.122445
Schalken	0.122381
"Miriam Oremans"	0.122243
"Peter Nicol"	0.121549
"Jeff Tarango"	0.120603
"Anne Kremer"	0.120298
"Slava Dosedel"	0.12001
Moya	0.119641
Frenchwoman	0.119561
Stoltenberg	0.119458
"Sanchez Vicario"	0.119035
Ulihrach	0.118625
"Guillaume Raoux"	0.118073
Edberg	0.117789
"Chris Woodruff"	0.116739
Majoli	0.116069
"Van Roost"	0.116067
"Ramon Delgado"	0.115767
"Kong Linghui"	0.115725
"Wayne Arthurs"	0.114913
"Gianluca Pozzi"	0.11447
"Guangdong Hongyuan"	0.114174
"two match points"	0.113473
Tauziat	0.113368
"Adrian Voinea"	0.113017
Likhovtseva	0.111326
"Andrew Ilie"	0.110996
"Wang Chen"	0.109832
Gambill	0.109774
Novotna	0.109488
"Rodney Eyles"	0.109328
Philippoussis	0.108382
"Camilla Martin"	0.10724
Rosset	0.105185
"Cara Black"	0.104949
"Liu Guoliang"	0.104572
Seles	0.103781
Kournikova	0.102941
"Zhang Ning"	0.102808
"Amy Frazier"	0.102745
Ferreira	0.102444
"Marcos Ondruska"	0.102366
"Mia Audina"	0.102212
"Miami Fusion"	0.101017
"Richey Reneberg"	0.10087
Jansher	0.100751
Hingis	0.100398
Hendrawan	0.100159
"Joko Suprianto"	0.100123
))
("American University" (desc 3595.94) (sims
"George Washington University"	0.355912
"Howard University"	0.326419
"Rutgers University"	0.308356
"Georgetown University"	0.297889
"New York University"	0.263021
"Vanderbilt University"	0.257997
"Harvard Business School"	0.252616
"Northeastern University"	0.251908
"Columbia University"	0.2491
"University of Wisconsin"	0.247431
"Syracuse University"	0.246864
"Northwestern University"	0.245726
"University of Kansas"	0.245704
"University of Virginia"	0.244004
"Stanford University"	0.24242
"Duke University"	0.241921
"University of Iowa"	0.239527
"Emory University"	0.239216
"University of South Carolina"	0.237317
"University of Georgia"	0.235645
"University of Rochester"	0.233837
"University of Chicago"	0.233183
"University of Southern California"	0.230116
"University of New Mexico"	0.2276
"Princeton University"	0.22757
"Yale university"	0.227236
"University of Maryland"	0.225204
"Yale Law School"	0.219327
"Auburn University"	0.21909
"Harvard Law School"	0.216896
"Michigan State University"	0.215644
"Boston University"	0.210566
"Rice University"	0.209835
"Ohio State University"	0.207506
"City University of New York"	0.207276
"University of North Carolina"	0.206205
"University of Texas"	0.204496
"Brown University"	0.203191
"University of Illinois"	0.202956
"London School of Economics"	0.20175
"Dartmouth College"	0.201657
"University of Oklahoma"	0.200129
"University of Minnesota"	0.199386
"Brigham Young University"	0.198442
"George Mason University"	0.196516
"University of Arkansas"	0.195993
"University of Massachusetts"	0.195335
"California State University"	0.194471
"Harvard University"	0.193885
"University of Michigan"	0.192166
"Georgia State University"	0.190963
"University of Utah"	0.190115
"University of Mississippi"	0.190106
"Cornell University"	0.189278
"Indiana University"	0.188961
"University of Alabama"	0.188853
"Johns Hopkins University"	0.185464
"University of Florida"	0.184015
"Florida International University"	0.183369
"Southern Methodist University"	0.182491
"Arizona State University"	0.18058
"Williams College"	0.17909
"University of Pennsylvania"	0.178924
"Iowa State University"	0.178667
"Hebrew University"	0.178476
"University of California"	0.177898
"University of New Hampshire"	0.176382
"Smith College"	0.175676
"Brandeis University"	0.175611
"Texas Christian University"	0.174999
"University of Kentucky"	0.173387
"Louisiana State University"	0.173169
"San Francisco State University"	0.172149
"University of Pittsburgh"	0.171528
"Queens College"	0.170024
"City College"	0.169382
"Fordham University"	0.168958
"Hunter College"	0.168923
"University of Colorado"	0.168889
"University of Connecticut"	0.168587
"Oxford University"	0.168471
"University of Houston"	0.167428
"University of Arizona"	0.166644
"Massachusetts Institute of Technology"	0.16636
"University of Zimbabwe"	0.165439
"University of Toronto"	0.165318
"Amherst College"	0.165202
"Florida State University"	0.164461
"University of Miami"	0.159465
"State University of New York"	0.159359
"University of Tennessee"	0.158991
"school of law"	0.157315
"Cambridge University"	0.155659
"Catholic University"	0.155623
"National Autonomous University of Mexico"	0.152766
"Beijing University"	0.148648
"University of Nevada"	0.147778
"Juilliard School"	0.147589
Harvard	0.144228
"University of Washington"	0.143184
"North Carolina State University"	0.142896
"Pennsylvania State University"	0.142131
"Colorado State University"	0.141908
Yale	0.141454
"Tufts University"	0.139792
"Wesleyan University"	0.139506
"Harvard School of Public Health"	0.138498
"Kansas State University"	0.138422
"College of Charleston"	0.138146
"University of Missouri"	0.137611
"University of Cincinnati"	0.135228
"University of Hong Kong"	0.132783
"Washington University"	0.132457
"Furman University"	0.132284
"Nanjing University"	0.131901
Cornell	0.131129
"city university"	0.130835
"Peking University"	0.130014
"Purdue University"	0.129979
"Washington State University"	0.129792
MIT	0.127528
"Trinity College"	0.125141
"Hofstra University"	0.124161
"Kennedy School"	0.123946
NYU	0.123836
"University of Wyoming"	0.123023
Emory	0.121867
"University of Dayton"	0.120336
Brandeis	0.120205
"Harvard Medical School"	0.119676
"Barnard College"	0.119284
"Temple University"	0.117509
"McGill University"	0.117115
"Boston College"	0.116628
Princeton	0.116377
Sorbonne	0.116279
"Carnegie Mellon University"	0.115101
"University of Notre Dame"	0.115027
"National Autonomous University"	0.114265
"Wake Forest University"	0.113739
"University of Nebraska"	0.112781
"UC Berkeley"	0.112301
"teachers college"	0.110818
"Tehran University"	0.109488
"business school"	0.109235
"University of Rhode Island"	0.106595
seminary	0.106329
"University of Oregon"	0.106148
Juilliard	0.105934
Stanford	0.105682
"Baylor University"	0.104743
"Kennedy School of Government"	0.10309
Dartmouth	0.102246
"air force academy"	0.102122
"Texas Tech University"	0.0975514
"Chinese University of Hong Kong"	0.0975321
"Cooper Union"	0.0974168
Columbia	0.0967564
Vassar	0.096209
"Fudan University"	0.0957927
"Qinghua University"	0.095672
northeastern	0.0949502
"medical school"	0.0936919
"law school"	0.0930427
"Wharton School"	0.0921628
CalTech	0.0899323
"American Enterprise Institute"	0.089298
"Seton Hall University"	0.088759
"Wright State University"	0.0873557
"U.S. Naval Academy"	0.0871351
"Makerere University"	0.087105
"community college"	0.0861519
"University of Hawaii"	0.0853031
"University of Maine"	0.084508
UGA	0.0836174
"Johns Hopkins"	0.0834414
"Rockefeller University"	0.0827559
"Brookings Institution"	0.0823813
"Harvard College"	0.0819945
Rutgers	0.0814835
"West Point"	0.0814657
"California Institute of Technology"	0.0811274
"school of medicine"	0.0806818
"Georgia Tech"	0.0801141
"school of music"	0.0784822
"John F. Kennedy School of Government"	0.0779294
Vanderbilt	0.0776207
Oxford	0.0763269
"Catholic school"	0.0762046
Berkeley	0.0759912
"Nankai University"	0.0757386
"naval academy"	0.0753537
"Carnegie Endowment"	0.0740385
UD	0.0736512
conservatory	0.0728887
"RFK Stadium"	0.0728005
"Urban Institute"	0.0710073
"Notre Dame"	0.0706063
UT	0.0695078
"military academy"	0.0695002
))
("American West" (desc 3065.81) (sims
"classical ballet"	0.0545316
"Lone Star State"	0.0542413
Mormonism	0.052988
"American South"	0.0526902
"income bracket"	0.0513564
steamboat	0.0496352
"Big Sur"	0.0485813
"Lahore Declaration"	0.0483923
"Old West"	0.0469502
"western hemisphere"	0.046731
Alsace	0.046236
"Lijiang River"	0.0456126
militarism	0.0454638
"Hill Country"	0.0451583
"West Lake"	0.044691
Ozarks	0.0443046
nationhood	0.0436913
Appalachia	0.0436321
"native land"	0.0424879
femininity	0.0423034
"parliamentary democracy"	0.0422904
"professional football"	0.0421554
cryptography	0.041238
"Mojave Desert"	0.0410909
epoch	0.040737
"South Dakota"	0.0401674
"Old South"	0.0400272
))
(American-Statesman (desc 2923.63) (sims
"Dayton Daily News"	0.215661
"Austin American-Statesman"	0.202997
Journal-Constitution	0.170495
"Atlanta Journal-Constitution"	0.116223
"Cox News Service"	0.0805702
"Palm Beach Post"	0.0763007
"news service"	0.0737033
Post-Intelligencer	0.0716173
"Los Angeles Daily News"	0.0654222
Lede	0.0630683
"Fort Worth Star-Telegram"	0.06176
"Paula Corbin Jones"	0.0615374
frontpage	0.0611905
"Southeastern Legal Foundation"	0.0608582
"Seattle Post-Intelligencer"	0.0603934
"Boston Globe"	0.0567942
Star-Telegram	0.0548278
"Cox Newspapers"	0.0531594
"vanity fair"	0.05123
Mach	0.0511833
obit	0.0510097
"Daily News"	0.0484957
"Arizona Republic"	0.0466115
"Houston Chronicle"	0.0462132
Bostonian	0.0461846
Wiberg	0.0460118
"Kansas City Star"	0.0452252
"Judicial Watch"	0.0441328
UNAMET	0.0439192
R-Wis.	0.0421183
"Senate Budget Committee"	0.0418295
F.	0.0415622
"Recording Industry Association of America"	0.0412841
folklorist	0.0410408
))
(American-style (desc 1375.47) (sims
"laissez faire"	0.0825373
"liberal arts"	0.0479919
"powder blue"	0.0471146
post-Soviet	0.0469601
polytechnic	0.0454623
seven-week	0.045324
Anglo-American	0.0452458
Tex-Mex	0.0446148
eighth-grade	0.0433333
third-grade	0.0432298
anything-goes	0.0409529
"key rate"	0.040891
))
(Americana (desc 7488.18) (sims
"folk art"	0.112626
oldies	0.0820435
memorabilia	0.0758687
"R&AMP;B"	0.0737918
"country music"	0.0721256
antique	0.0719008
"fine art"	0.0708718
"fine arts"	0.0705288
collectibles	0.0680707
poetry	0.0638276
"old master"	0.0635708
"classical music"	0.0628657
"rock 'n' roll"	0.0618738
antiquity	0.0613838
"pop music"	0.0599653
klezmer	0.0582151
folklore	0.0582111
Jazz	0.0579168
kitsch	0.0575354
furniture	0.0572917
"avant garde"	0.0572006
"musical theater"	0.0568931
"science fiction"	0.0565428
bluegrass	0.0564903
artwork	0.0558066
suburbia	0.055666
"Art Nouveau"	0.0545979
furnishings	0.0544873
handicraft	0.0542717
literature	0.0542226
"popular music"	0.0537184
whimsy	0.0536032
calligraphy	0.0531575
COUTURE	0.0527706
architecture	0.0523889
celluloid	0.0522236
"American Dream"	0.0520766
fiction	0.051244
curio	0.0506543
rhythm-and-blues	0.049885
"folk music"	0.0498792
"sheet music"	0.0495074
Zydeco	0.0495015
artifact	0.0491437
archeology	0.0489323
Reggae	0.0484775
gospel	0.0482821
minimalist	0.0477246
Motown	0.0476708
archaeology	0.0467924
honky-tonk	0.0467135
"folk dance"	0.046427
vintage	0.0463099
retro	0.0460748
quilt	0.045808
minstrel	0.0456038
modernism	0.0455744
troubadour	0.0454186
"song and dance"	0.0449126
manuscript	0.0445521
ceramic	0.0445008
decor	0.044386
ditty	0.0439709
overkill	0.043945
trivia	0.0437806
"chamber music"	0.043628
scenery	0.043544
liberalism	0.0432831
skit	0.0427951
junk	0.0424128
mariachi	0.042394
cuisine	0.0422765
daguerreotype	0.0422174
slapstick	0.0421716
embroidery	0.0420568
sensibility	0.0419961
"show business"	0.0418743
"Bible Belt"	0.0417004
MP@	0.0414801
Latin	0.0414777
Opry	0.0413971
"cutting edge"	0.041249
"consumer electronics"	0.0412192
disco	0.0411557
mythology	0.0409577
glam	0.0408811
photography	0.0408594
immortality	0.0408536
"detective work"	0.0407395
reportage	0.0406648
Impressionism	0.0406564
pastime	0.0405576
counterculture	0.040548
"musical comedy"	0.0403425
calypso	0.0403164
surrealist	0.0402515
"big band"	0.0402312
))
(Americanization (desc 1429.78) (sims
exigency	0.0872284
shaping	0.079098
"treasure house"	0.0789704
criminalization	0.0681876
shallowness	0.0679618
disarming	0.0638598
trashing	0.0630613
monotony	0.0617831
vagary	0.0617028
denigration	0.0616225
blending	0.0614837
confluence	0.0609658
cohesiveness	0.059947
flowering	0.0590365
apotheosis	0.0586045
fulcrum	0.0584609
gentrification	0.058109
Balkanization	0.0576007
reshuffling	0.0572766
melting	0.0561227
commercialization	0.0560227
"cash crunch"	0.0542734
"golden rule"	0.0538469
magnificence	0.053784
linking	0.053759
decimation	0.0528795
gigabyte	0.0526253
"Nortel Networks Corp."	0.052114
urbanization	0.0519379
breadbasket	0.0518472
"sum total"	0.0516439
kaleidoscope	0.0516188
meatpackers	0.0512117
crosscurrent	0.050904
"more than one-fifth"	0.0508234
"crown jewels"	0.0503384
"Jeremy Wotherspoon"	0.0502363
declassification	0.0496496
nitty-gritty	0.0495148
joining	0.0487278
centralization	0.0486735
decompression	0.0486543
assimilation	0.0484921
"lingua franca"	0.0484799
periphery	0.0483609
"character assassination"	0.0482208
quadrant	0.0479298
realpolitik	0.0478381
militarization	0.0476384
erasure	0.0474585
Patrimony	0.0473729
"treasure chest"	0.0471994
culmination	0.0471659
megabyte	0.0470546
internationalization	0.04686
stepchild	0.0466903
reevaluation	0.046624
"nerve center"	0.0463371
brightest	0.0461879
fieldwork	0.0458642
merging	0.0456596
uptake	0.0456293
"security interest"	0.0454
globalisation	0.0453471
impoverishment	0.0451458
"moral obligation"	0.0450999
byte	0.0450436
sequencing	0.045029
accretion	0.044626
enshrinement	0.0445443
demonization	0.0444954
rigidity	0.0443001
"New Style"	0.0442503
immensity	0.0442289
machination	0.0442046
"Cliffs Notes"	0.0441464
underbelly	0.0440284
maneuvering	0.0440099
banality	0.0438529
"Menachem Begin"	0.0437554
dilution	0.0434073
frill	0.0433622
"melting pot"	0.0428241
mingling	0.0426935
"Northern Telecom"	0.0426753
ugliness	0.0426717
arming	0.0426699
"the good old days"	0.042536
purification	0.0425251
"compromise plan"	0.0424935
"regular army"	0.0424681
Crucible	0.0423794
retooling	0.0421456
paradigm	0.0421342
"Bruny Surin"	0.0419745
democratization	0.0419602
predominance	0.0419194
interrelationship	0.0418162
peculiarity	0.0418001
microcosm	0.0417308
axiom	0.0417092
blandness	0.0415075
revamping	0.041345
realignment	0.0412551
finalization	0.0408285
singularity	0.0408241
gaiety	0.0406139
Pantheon	0.0406085
lifeblood	0.0405777
tumult	0.0404988
"television star"	0.0404646
jailing	0.0403149
lessening	0.0402783
possiblity	0.0402583
popularization	0.0401911
))
(Americanized (desc 1363.5) (sims
accepting	0.107392
Tex-Mex	0.10574
picky	0.0997843
"throwing away"	0.0844988
preachy	0.0831845
proactive	0.0808265
Shangri-la	0.0800394
user-friendly	0.0795666
"German language"	0.0748011
vegetarian	0.0685555
up-front	0.0683884
preteen	0.0682958
antsy	0.0677455
cost-conscious	0.0673864
Hawaiian	0.0664889
glitzy	0.065009
"talk of the town"	0.0647472
haute	0.0647399
"fall guy"	0.0637781
"laissez faire"	0.0633524
Cantonese	0.0630199
vegan	0.0622518
forbidden	0.0620152
Mayflower	0.0617987
"pain in the neck"	0.0615115
export-oriented	0.0614026
"Cliffs Notes"	0.0599918
"good person"	0.0594298
Aramaic	0.0593574
"center of attention"	0.0591997
"right here"	0.0583434
self-service	0.0580233
labor-intensive	0.0579212
JACK's	0.0577696
"pen pal"	0.0558941
elitist	0.0554612
techie	0.055213
has-been	0.0545105
heartening	0.0544373
"top dog"	0.0543252
"double agent"	0.0541407
top-class	0.0540052
take-no-prisoners	0.0539995
downbeat	0.0538918
"close to one"	0.0537117
cappella	0.0535083
Provencal	0.0534749
fast-paced	0.053086
simpatico	0.0528889
colorblind	0.0524662
Asian-American	0.0520393
"other nine"	0.0510148
Zapruder	0.0509409
perfectionist	0.050773
superhero	0.0505432
copycat	0.0502495
"hot potato"	0.0498301
"rich man"	0.0498254
Calla	0.0498097
first-class	0.0497898
grist	0.0497851
"Jehovah's Witness"	0.0497005
"solid ground"	0.0496054
"big leaguer"	0.0494934
Kirov	0.049468
protectionist	0.049109
goofball	0.0489799
minimalist	0.0489097
"mentally retarded"	0.0487351
world-famous	0.0485911
alarmist	0.0481615
"free form"	0.0478344
Savoy	0.0474094
"hot issue"	0.0473913
Hands-off	0.0472972
Cajun	0.04706
one-word	0.0465767
"melting pot"	0.0463929
bare-bones	0.0462255
multimillionaires	0.0462038
fairytale	0.0460141
here.	0.0459425
hawkish	0.0456931
Prima	0.0455514
Chukwu	0.0454924
non-European	0.0454541
"nuclear family"	0.0451516
behinds	0.0451225
obstructionist	0.0447283
late-'@@s	0.0445629
"prima donna"	0.0444451
cartoonish	0.0444258
"whipping boy"	0.043858
Italian-American	0.0437377
learner	0.0437315
Hemings	0.0436035
"Ingmar Bergman"	0.0434398
upfront	0.0431872
"another nine"	0.0430694
collaborative	0.0429682
Anglo	0.042801
Medea	0.0427936
"hard worker"	0.0427897
"the very best"	0.0427724
Romanov	0.0426308
"guardian angel"	0.0424305
beachfront	0.0422352
"white person"	0.0422253
tomboy	0.0421785
"foster parent"	0.0421173
breadwinner	0.0418912
typecast	0.0416645
beachside	0.0415817
heretic	0.041566
cesspool	0.041552
Orwellian	0.041381
GMC	0.0413239
hippie	0.0411138
olestra	0.0409975
"background noise"	0.0409374
"personal property"	0.0407684
indie	0.0405785
"knee jerk"	0.0405488
"other seven"	0.0405103
voyeur	0.0404783
Midi	0.0401662
"sitting duck"	0.0401462
))
(AmericaOne (desc 5730.53) (sims
"America True"	0.369198
"Le Defi Francais"	0.322069
Nippon	0.252629
"Stars and Stripes"	0.245177
"Young America"	0.212985
Prada	0.168094
"Adrian Voinea"	0.1037
Cayard	0.103544
"Vincent Spadea"	0.103165
"Team New Zealand"	0.102085
"Alberto Costa"	0.0964012
"Luna Rossa"	0.0961519
"Stars &AMP; Stripes"	0.092278
"Tara Snyder"	0.092186
"Renzo Furlan"	0.0919063
"Jonathan Stark"	0.0916064
"Carlos Costa"	0.0915849
"Amy Frazier"	0.0915824
"Elena Likhovtseva"	0.0909372
"Kenneth Carlsen"	0.0901369
"Colo Colo"	0.089671
"Arnaud Boetsch"	0.0892018
"Fernando Meligeni"	0.0890796
"Xavier Malisse"	0.0878155
Dosedel	0.0876124
Longo	0.0871525
"Hernan Gumy"	0.086806
"Nicole Pratt"	0.0867277
"Mariano Puerta"	0.0863104
Berasategui	0.086013
"Magdalena Maleeva"	0.0859132
"Alberto Berasategui"	0.0857492
"Prada Challenge"	0.0856779
"Scott Draper"	0.0856707
"Tatiana Panova"	0.0852012
"Jeff Tarango"	0.0849264
"Partizan Belgrade"	0.084849
"Sargis Sargsian"	0.0846095
"Francesco de Angelis"	0.0844245
"Sergi Bruguera"	0.0842558
"Marcelo Filippini"	0.0841277
Jansher	0.0837975
"American Chanda Rubin"	0.0835309
"Andrei Pavel"	0.0833611
"Jennifer Capriati"	0.0832869
"Justin Gimelstob"	0.0832479
"Sarah Pitkowski"	0.0828762
"Chanda Rubin"	0.0828529
"Alex O'Brien"	0.0822884
"Christian Ruud"	0.0817588
"Marc Rosset"	0.0815475
"Silvia Farina"	0.0815345
"MaliVai Washington"	0.0812368
"Todd Martin"	0.0811097
Edberg	0.0810509
"Albert Portas"	0.0809228
"Leander Paes"	0.0808748
"Velez Sarsfield"	0.0806292
"Anke Huber"	0.0806064
"Brett Steven"	0.0804733
Palmeiras	0.0803081
"Sandrine Testud"	0.0800956
"Richey Reneberg"	0.0798874
"Guangdong Hongyuan"	0.0797282
Sanchez-Vicario	0.0793812
Nacional	0.0793305
"Chris Woodruff"	0.0790096
Testud	0.0786771
"Tim Henman"	0.0786082
"Rita Grande"	0.0782574
"Michael Stich"	0.0782015
Spartak	0.0780813
"Serena Williams"	0.0776573
Pioline	0.0773777
"Andreas Vinciguerra"	0.0773426
"Karim Alami"	0.0772671
"Wayne Black"	0.0771468
"Javier Sanchez"	0.0771041
"Jason Stoltenberg"	0.0770444
Larsson	0.0768236
"Jerome Golmard"	0.0766481
Likhovtseva	0.0766141
"Barbara Paulus"	0.0766018
"Galo Blanco"	0.0764695
Conner	0.0762784
"Red Star"	0.0762718
"Elena Dementieva"	0.0761302
"Neville Godwin"	0.0754128
Panathinaikos	0.075399
"Albert Costa"	0.0751933
"Wang Chen"	0.0749547
"Andrea Gaudenzi"	0.0748978
"Cedric Pioline"	0.0748726
"Amelie Mauresmo"	0.0746269
"Kinder Bologna"	0.0745228
"Asa Carlsson"	0.0744915
"Nicolas Kiefer"	0.0743336
"Daniel Nestor"	0.0743071
"Michael Chang"	0.0742616
"Steve Campbell"	0.0741122
Bayern	0.0740867
"Arnaud Di Pasquale"	0.0740223
Stoltenberg	0.0736572
"Hicham Arazi"	0.0736457
"Grant Stafford"	0.0731491
Schalken	0.0731343
"Dalian Wanda"	0.0731201
"Nathalie Dechy"	0.0729863
Raoux	0.0728998
"LA Lakers"	0.0728178
"Jan-Michael Gambill"	0.0728119
"Sebastien Grosjean"	0.0726682
"Davide Sanguinetti"	0.0726563
"Vince Spadea"	0.0726373
Lapentti	0.072618
Rusedski	0.072607
Makinen	0.0724884
"Sebastien Lareau"	0.072477
"Magnus Norman"	0.0723817
"Sabine Appelmans"	0.0723402
"Ai Sugiyama"	0.0721232
"Barbara Schett"	0.0720191
"Patty Schnyder"	0.0720125
"Simon Archer"	0.071978
Haarhuis	0.0718164
"Julie Halard-Decugis"	0.0717927
"Judith Wiesner"	0.0716237
"Joannette Kruger"	0.0715768
"Australian Mark Philippoussis"	0.0714059
Cruzeiro	0.071349
"Peter Nicol"	0.0713033
Bruguera	0.0712399
Corretja	0.0711652
Capriati	0.0711108
"American Todd Martin"	0.0710292
Halard-Decugis	0.0709505
"Dominique Van Roost"	0.0708448
"Guillaume Raoux"	0.0705223
"Ye Zhaoying"	0.0704375
"Gianluca Pozzi"	0.0702553
"Arnaud Clement"	0.0702524
"Yayuk Basuki"	0.0701929
"Naoko Sawamatsu"	0.0701252
Habsudova	0.0700436
Ulihrach	0.0699145
Kournikova	0.0698619
"Kimiko Date"	0.0698416
"Lori McNeil"	0.0698203
LVMH	0.069742
"Byron Black"	0.069729
Bjorkman	0.0697285
"Paul Goldstein"	0.0696333
"Athletic Bilbao"	0.0696295
Necaxa	0.0695354
"Los Angeles Sparks"	0.0695096
"Janet Lee"	0.0694798
"Natasha Zvereva"	0.069462
"Carlos Moya"	0.0694526
Kroslak	0.0694523
"Andrei Medvedev"	0.0694498
"Michael Tebbutt"	0.0694427
"Dennis Conner"	0.0693944
"Richard Fromberg"	0.069336
"Nathalie Tauziat"	0.0693181
"Mariano Zabaleta"	0.069296
"Coventry City"	0.0692599
"Younes El Aynaoui"	0.0691752
Lareau	0.0689259
"Slavia Prague"	0.0686754
"DPR Korea"	0.0684807
"Bradford City"	0.0682784
Schett	0.0681874
"Thomas Johansson"	0.0680375
"Lisa Raymond"	0.0679888
"Lleyton Hewitt"	0.0679329
Enqvist	0.0676965
Zamalek	0.067625
"Ruxandra Dragomir"	0.0675737
"Anne-Gaelle Sidot"	0.0675251
Kafelnikov	0.0674983
"Irina Spirlea"	0.067345
"Mary Joe Fernandez"	0.0671332
"Jelena Dokic"	0.0671323
"Mikael Tillstrom"	0.0671202
"Miami Fusion"	0.0670864
Zvereva	0.0670611
"Phoenix Mercury"	0.0669368
"Andres Gomez"	0.0665454
"Conchita Martinez"	0.0664804
"Thomas Enqvist"	0.0664687
"Marcos Ondruska"	0.06642
"Magnus Gustafsson"	0.0663838
Kuerten	0.066342
"Lindsay Davenport"	0.0662876
Lindland	0.0662061
Gremio	0.0661486
"Nicolas Escude"	0.0661278
"Corina Morariu"	0.0661088
Huskers	0.0660877
Kasparov	0.0660253
))
(Americas (desc 3864.92) (sims
Casas	0.0937986
"South America"	0.0729055
Oceania	0.0680081
"Economic Cooperation Organization"	0.0605921
"East Europe"	0.0584205
"West Asia"	0.0574535
"Bank of Montreal"	0.0560827
"National Association of Realtors"	0.0545154
"Commonwealth of Independent States"	0.0543707
"Inter-Parliamentary Union"	0.0519735
"African Economic Community"	0.0514003
Mideast	0.0508803
espana	0.0507181
"Group of Rio"	0.0506424
"Hilton Hotel"	0.0503696
"Near East"	0.0501916
"Great Lakes Region"	0.0500486
Borbon	0.0497576
"Central America"	0.0494551
"Organisation of African Unity"	0.0492258
"BankBoston Corp."	0.0490159
"Cuban Americans"	0.0490012
Asia-Pacific	0.0475745
"Organization of Islamic Conference"	0.0475324
Congeniality	0.0474986
DRI	0.0468786
Balboa	0.0465546
"Far East"	0.046192
"banking analyst"	0.0461881
"East Asia"	0.0451794
"West Africa"	0.0444966
"National Hurricane Center"	0.0435314
"Central American nation"	0.043404
"Asia-Pacific Region"	0.0426284
"Film Forum"	0.0426012
"Copa America"	0.0423176
"South Pacific Forum"	0.0418266
FTAA	0.0417107
Godot	0.0413237
"Securities Industry Association"	0.041032
"Inter-Governmental Authority on Development"	0.0409438
"Common Market for Eastern and Southern Africa"	0.0405923
))
(Americorps (desc 1730.31) (sims
"Peace Corps"	0.145304
MSF	0.086631
NEA	0.0850664
KEDO	0.0824569
"Project Hope"	0.0822712
workfare	0.0819767
C-@@@J	0.0791259
PECC	0.0783639
"Weight Watchers"	0.0753025
"special education"	0.0752601
"Red Crescent"	0.0749135
"head start"	0.0740269
Eudora	0.0735066
Freddy	0.0699113
"Office @@"	0.0688982
"Big Dig"	0.0686606
"American Red Cross"	0.067526
"mass transit"	0.0667388
basij	0.0663905
"adult education"	0.0655561
"Medicare HMO"	0.0649511
"chemical warfare"	0.0641556
retraining	0.0640993
"Health Insurance Program"	0.0631299
"Joint Strike Fighter"	0.0629852
MKO	0.061761
"land reform"	0.0614277
profit-sharing	0.0613165
ODA	0.0602034
EPZ	0.0600468
"Manhattan Project"	0.0598112
"Windows CE"	0.0596842
"Windows NT"	0.0595902
reforestation	0.0588779
Juilliard	0.0588136
"family planning"	0.0587958
"civil defense"	0.0586252
"World Vision"	0.0579475
WSU	0.0574463
CCF	0.057305
endowment	0.0572816
geriatrics	0.0571719
Tua	0.0570908
oil-for-food	0.0568972
"Two hundred"	0.0568593
"Vision @@@@"	0.056769
"National Endowment"	0.0566709
GEMINI	0.0563775
SSE	0.0562253
OPIC	0.0560829
NMD	0.0559038
AEC	0.0558604
beautification	0.0552645
Internet@	0.0550894
daycare	0.0550511
hospice	0.0548692
AUM	0.0548009
hands-on	0.0542667
"earth science"	0.053953
counterterrorism	0.0536934
shareware	0.0536897
"first aid"	0.0531925
bock	0.0531285
iss	0.0526006
SBA	0.052502
"international criminal court"	0.0522268
NGO	0.0522226
"Miller Park"	0.0520087
"Carter Center"	0.0520035
NHS	0.0520027
"Sea Launch"	0.0519381
"Veterans Administration"	0.0518376
telemedicine	0.0517228
CPLP	0.0515896
"Office @@@@"	0.0515502
weaponization	0.0513948
fulltime	0.0512235
"pilot program"	0.0508349
Opry	0.0504197
"population control"	0.0501982
"R&AMP;D"	0.0500882
IPU	0.0499305
Cesar	0.0494087
"germ warfare"	0.0493449
ecotourism	0.0491129
forty	0.0490146
Fairchild	0.0489931
"road construction"	0.0489292
Kauffman	0.0489207
"Interior Department"	0.048891
fumigation	0.0488248
eco	0.0487935
"British Empire"	0.0487446
demobilization	0.0486578
reemployment	0.0486487
multibillion	0.0484936
"slush fund"	0.0484743
trachoma	0.0484284
UNRWA	0.0483564
"price support"	0.0477271
"Agency for International Development"	0.0476776
sworn-in	0.0474986
"Film Forum"	0.0474704
GAAF	0.0471483
"social assistance"	0.0471062
"Revolutionary Guards"	0.0469472
"Federal Emergency Management Agency"	0.0469336
"physical education"	0.0467804
AARP	0.0465765
marksmanship	0.0464527
"billion yuan"	0.0462938
IEA	0.0462511
rinderpest	0.0461196
MBA	0.0460432
declassification	0.0459959
ITU	0.0458948
"Phi Beta Kappa"	0.045873
"word processing"	0.0458269
"Plan Colombia"	0.045748
FSA	0.0456039
"Everglades National Park"	0.0455641
"air bubble"	0.0453881
Eximbank	0.0453676
"senior high school"	0.0453037
"city university"	0.0451691
"police academy"	0.045133
interdiction	0.0450622
Dems	0.0450533
conservatory	0.0449561
childcare	0.0449395
"day care"	0.0448948
"Agenda @@@@"	0.0448244
WEF	0.044802
CSA	0.0447838
"Department of Housing and Urban Development"	0.0447146
"National Science Foundation"	0.0446631
refurbishment	0.0445798
SETI	0.044525
CUF	0.0444862
IDD	0.0444813
"Health and Human Services Department"	0.0444462
"Olympic Committee"	0.044398
Demps	0.0442744
"six million"	0.0442237
G-@@	0.0441683
paraplegic	0.0441137
WordPerfect	0.0440995
NSC	0.0438683
"art school"	0.0437616
GEF	0.0437039
"biological warfare"	0.0436588
PATA	0.0435556
"public works"	0.0435392
GUMBEL	0.0433883
"up to @@,@@@"	0.0433808
privatisation	0.043297
NPA	0.0432528
dollarization	0.0431257
"New National Party"	0.0429745
Radcliffe	0.0429585
"B&AMP;B"	0.0428765
HUD	0.0427211
"U. N."	0.0427165
LRA	0.0426812
AFI	0.0425679
student-athlete	0.0425651
DIVX	0.0425645
mujahedeen	0.0425116
tutoring	0.0425013
"Ford Foundation"	0.0424929
Hadassah	0.0424592
hemophiliac	0.0424564
Wada	0.0424297
"Legion of Honor"	0.0424204
Wellness	0.0422996
fief	0.042134
"Census Bureau"	0.0420911
"Screen Actors Guild"	0.0419861
counterintelligence	0.0419667
Dudayev	0.041728
DMA	0.0416545
OECD	0.0416309
EPR	0.0415887
bailiff	0.0415811
ABA	0.041531
"technical school"	0.0414737
Inoculation	0.0414552
"roughly @,@@@"	0.0414428
"Blair Witch"	0.0413834
"consumer credit"	0.0412982
IRC	0.0412405
"Catholic Charities"	0.0411057
onboard	0.0410964
kibbutz	0.0410601
"Nation Party"	0.0409072
homeownership	0.0409068
"Deep Blue"	0.0408972
"credit union"	0.0408806
Clare	0.0408586
MS-DOS	0.0408537
))
(Americus (desc 1916.93) (sims
"Crystal City"	0.211798
Macoris	0.175443
Hillsboro	0.153658
LaGrange	0.146839
Macon	0.145754
Thomasville	0.143622
Morristown	0.137711
Elmira	0.135498
Carthage	0.132846
Salisbury	0.130213
"Stone Mountain"	0.129153
Shreveport	0.120651
Dunwoody	0.115271
Carrollton	0.112018
Augusta	0.111886
Peekskill	0.1109
Stratford	0.102623
Covington	0.101427
Casper	0.10124
CAMILLA	0.100574
"East St. Louis"	0.0982149
"Great Neck"	0.0981959
Evansville	0.0977239
Lawrenceville	0.0964281
Middletown	0.096345
"South Bend"	0.0960743
Missoula	0.09559
Lubbock	0.0950534
midland	0.0949614
"Saratoga Springs"	0.0949238
Chattanooga	0.0944488
Utica	0.094331
"Virginia Beach"	0.0932992
Duluth	0.0932901
Beaumont	0.0928255
Bensonhurst	0.0925007
Norcross	0.0924945
ASHEVILLE	0.0911925
Alpharetta	0.0910888
Riverdale	0.0908913
Youngstown	0.0907096
"Iowa City"	0.0904555
Topeka	0.0897023
"Port Arthur"	0.0893805
Nogales	0.089083
"Suva Reka"	0.0889904
Columbus	0.0887001
Montclair	0.0881584
"Grand Rapids"	0.0879747
"West Palm Beach"	0.0870613
Stockbridge	0.0870544
Gloucester	0.0865184
Lynchburg	0.0862323
Longview	0.0858612
Akron	0.0858356
Gainesville	0.0853381
"Gwinnett County"	0.0851652
"San Cristobal"	0.0851615
Lafayette	0.0850951
Qufu	0.0847332
Brockton	0.0846476
Juba	0.0844709
Leskovac	0.0843991
Framingham	0.0843431
Knoxville	0.0842619
"College Park"	0.0841372
Guadeloupe	0.0839704
"TOMS RIVER"	0.0836338
Plano	0.0834001
Fresno	0.0833697
Marjayoun	0.0833222
LAKEWOOD	0.0831309
Dalton	0.0831153
"Chapel Hill"	0.0828697
Kensington	0.0828524
Tuscaloosa	0.0824106
Chappaqua	0.0822281
Spokane	0.0820462
Farmington	0.0819046
Wallingford	0.0818347
Williamstown	0.0816509
Braintree	0.0815763
Marietta	0.0810449
Odessa	0.0808755
Guadalajara	0.0807285
Vitoria	0.0796466
Bangor	0.0795784
"Walnut Creek"	0.0795783
Mbarara	0.0794976
Vedeno	0.0794719
Yonkers	0.0791557
"East Los Angeles"	0.0786899
"Fall River"	0.0783185
"San Luis Obispo"	0.0781596
Alameda	0.0781243
Providence	0.0781114
Nacogdoches	0.0780278
Decatur	0.0779503
Smyrna	0.0778429
Plattsburgh	0.07772
Brunswick	0.0777166
"Corpus Christi"	0.0773334
"Fort Myers"	0.0768035
bethel	0.0765844
Bradenton	0.0764228
Abilene	0.0762948
Falmouth	0.0762766
Ojai	0.0762505
Uvira	0.0762408
Portsmouth	0.0762085
"Baton Rouge"	0.07605
Yekaterinburg	0.0757204
Chamblee	0.0756597
Honolulu	0.075647
Greenville	0.0753849
"Antelope Valley"	0.0753335
Watertown	0.075329
Wichita	0.0753242
Denton	0.075156
"New Haven"	0.0748243
Dublin	0.074637
Chatham	0.0741497
"New Canaan"	0.0741167
flint	0.0739961
Boise	0.0738682
"Huntington Beach"	0.0736202
Saida	0.0732928
Flagstaff	0.0732829
Norwalk	0.0731118
Westfield	0.0730061
Fayetteville	0.0729282
Winchester	0.0728957
Tucson	0.0725943
Kalamazoo	0.0725151
Holyoke	0.0723018
Hoboken	0.072286
"Simi Valley"	0.0722027
Medford	0.0721314
"Cedar Rapids"	0.0721046
Suwanee	0.0713511
Exeter	0.0711899
Quincy	0.0709495
Greenwich	0.0706391
Modesto	0.0705572
Kismaio	0.0704995
Conyers	0.0704168
Amarillo	0.0702099
Lufkin	0.0701616
Lakeland	0.0700032
Urus-Martan	0.0698793
Savannah	0.0695216
"Thousand Oaks"	0.0694511
Rochester	0.069426
"Sandy Springs"	0.0692342
Springfield	0.0691405
"Cobb County"	0.0689711
"Rocky Mount"	0.0688821
Wilmington	0.0687833
Toledo	0.0687298
"Fighting Irish"	0.068437
Kalemie	0.0683851
Encino	0.0682403
Milton	0.068202
Bukavu	0.0681194
Naples	0.0680009
Somerville	0.0679488
Helena	0.0678622
Brentwood	0.0677845
Golcuk	0.0677822
Northampton	0.067772
Louisville	0.0677622
"Jersey City"	0.0676552
Winston-Salem	0.067589
Wildwood	0.067501
Waltham	0.0674884
Greensboro	0.067368
"Fort Benning"	0.0673199
Ballymoney	0.0672675
Pensacola	0.0672202
Mankulam	0.0672041
Peoria	0.0671619
Huntsville	0.0670689
Kismayu	0.0669086
Huntington	0.0668595
"Santa Monica"	0.066842
"New Braunfels"	0.0668248
Syracuse	0.0667774
Clifton	0.0667577
"DeKalb County"	0.0665268
Scarsdale	0.0664255
"Little Rock"	0.0664155
Carmel	0.0663695
Sparta	0.0663606
Bloomington	0.0662791
"Twin Cities"	0.0661198
"Fayette County"	0.0660793
Camden	0.0660443
"East Orange"	0.0660039
Stamford	0.0658945
Westport	0.065837
))
(Ameritech (desc 5881.08) (sims
GTE	0.321206
"Ameritech Corp."	0.300458
"U S West"	0.248889
"Bell Atlantic"	0.248354
SBC	0.24574
"SBC Communications"	0.241257
MCI	0.234056
"Frontier Corp."	0.205379
BellSouth	0.205169
"GTE Corp."	0.198909
"MCI WorldCom"	0.197647
Qwest	0.197596
"Airtouch Communications"	0.194886
Airtouch	0.194525
"US West"	0.183027
"U S West Inc."	0.18191
TCI	0.1787
"Global Crossing"	0.171737
"U.S. Trust"	0.171289
Amoco	0.16557
"Sprint Corp."	0.163585
WorldCom	0.162287
"Bell Atlantic Corp."	0.162127
Verizon	0.158855
BankAmerica	0.156717
"Telecom Italia"	0.154772
"Pacific Bell"	0.153782
Mediaone	0.153581
"Orange PLC"	0.152543
Mobil	0.151154
"Sprint PCS"	0.146839
VoiceStream	0.145615
Petrofina	0.144027
"Baby Bells"	0.140345
Netcom	0.139018
Viacom	0.138909
ARCO	0.138533
"Bankers Trust Corp."	0.13764
"Time Warner"	0.137588
ascend	0.137549
PolyGram	0.137537
sprint	0.137253
"Bay Networks"	0.137142
Nextel	0.136826
"Chrysler Corp."	0.136647
"Atlantic Richfield"	0.13634
"Bankers Trust"	0.135786
"Southwestern Bell"	0.135509
Vodafone	0.135268
NationsBank	0.134767
"Waste Management"	0.134709
"Times Mirror"	0.1346
"Tele-Communications Inc."	0.134416
Seagram	0.133221
"MediaOne Group"	0.133132
ALZA	0.132848
Warner-Lambert	0.131648
Vivendi	0.131537
Bestfoods	0.131465
BankBoston	0.131405
ExciteAtHome	0.131036
"Northeast Utilities"	0.130778
"Deutsche Telekom"	0.128256
Telefonica	0.128089
"Fred Meyer"	0.128035
"Bell South"	0.12765
Monsanto	0.127185
Comsat	0.126624
"Vodafone AirTouch"	0.125304
GANNETT	0.125
Mannesmann	0.124349
NatWest	0.123723
Norwest	0.123569
ENTREMED	0.123489
"Learning Co."	0.123239
AlliedSignal	0.123164
XYLAN	0.122179
"US Airways"	0.121919
Tropicana	0.12187
Ciena	0.121504
YPF	0.120074
"British Telecom"	0.119629
"Mobil Corp."	0.119487
"MCI Worldcom Inc."	0.118989
"Y&AMP;R"	0.11873
"SBC Communications Inc."	0.118183
McKesson	0.117918
"Times Mirror Co."	0.117826
TELLABS	0.117591
Echostar	0.115615
Citicorp	0.11543
Albertson's	0.114798
EarthLink	0.114411
Comcast	0.114076
Lockheed	0.113496
SkyTel	0.113047
SmithKline	0.113034
Chrysler	0.11302
Nortel	0.111025
NiSource	0.11094
Dupont	0.110688
"Time Warner Inc."	0.110208
"Times Co."	0.109931
"Atlantic Richfield Co."	0.109568
Healtheon	0.108677
Telmex	0.108538
KPN	0.108374
"Mannesmann AG"	0.108358
"Computer Associates"	0.108258
MindSpring	0.107441
"phone company"	0.107172
Aetna	0.106774
"American Home Products"	0.106671
BofA	0.106613
"Wells Fargo"	0.106481
Motorola	0.106387
PRIMESTAR	0.106378
Infoseek	0.106211
Transamerica	0.105681
Cerent	0.105421
Alcatel	0.105412
Cisco	0.105265
Fingerhut	0.104792
Weyerhaeuser	0.104692
"Tribune Co."	0.104437
Avondale	0.104281
Broadcast.com	0.104262
Exxon	0.104176
RJR	0.103998
Asda	0.10389
Pairgain	0.103485
"MCI Communications Corp."	0.103291
UBS	0.103181
Honeywell	0.103098
UAL	0.10301
Starwood	0.10281
"Adobe Systems"	0.10239
"RJR Nabisco"	0.102192
Stratus	0.102047
Scania	0.102001
CMGI	0.101724
Paribas	0.100909
Nokia	0.100688
SDL	0.100525
"Niagara Mohawk"	0.100176
Chiron	0.0999583
Qualcomm	0.0998382
Texaco	0.0996635
Broderbund	0.099592
"BankBoston Corp."	0.0993659
ENTERGY	0.0992376
"France Telecom"	0.099128
Lycos	0.0986555
GeoCities	0.0984324
Ingram	0.0980608
Pepsico	0.0976869
GPU	0.0976262
"HBO &AMP; Co."	0.0975428
Paxson	0.0974415
"McDonnell Douglas"	0.0973803
Asarco	0.0971812
Daimler	0.0971332
"General Electric"	0.0969065
Conrail	0.0968687
Omnipoint	0.0967056
NTT	0.0966747
Chevron	0.096397
"Lycos Inc."	0.0959567
"telephone company"	0.0959191
"Digital Equipment"	0.0958966
AMR	0.0958508
Seagate	0.0957647
"Deutsche Bank"	0.0952827
"Cadbury Schweppes"	0.0952713
"Home Depot"	0.095248
"Bank of America"	0.0950605
"BP Amoco"	0.094874
"Digital Equipment Corp."	0.0945655
Lilco	0.0944448
Emulex	0.0940349
"T Corp."	0.0939258
NORTHROP	0.0937977
EMC	0.0937834
WebMD	0.0936356
Deutsche	0.0935345
"Nippon Telegraph"	0.0927559
HBOC	0.0927425
"Netscape Communications Corp."	0.092657
"Hongkong Telecom"	0.0925667
"Coca-Cola Co."	0.0924926
"GE Capital"	0.092114
Pitney	0.0921119
Telebras	0.0916358
Litton	0.0915324
"Dow Chemical"	0.0915248
"News Corp."	0.0914556
"American Home"	0.0911116
VENATOR	0.0910661
"Texas Instruments"	0.0907733
Alcan	0.0905607
))
("Ameritech Corp." (desc 1694.16) (sims
Ameritech	0.300458
"U S West Inc."	0.250949
"Bell Atlantic Corp."	0.247573
"Frontier Corp."	0.234806
"Bankers Trust Corp."	0.228392
"Airtouch Communications"	0.210439
"GTE Corp."	0.198713
GTE	0.188081
"SBC Communications Inc."	0.182658
"Tele-Communications Inc."	0.182168
"Sprint Corp."	0.181039
"Times Mirror Co."	0.17961
"Mobil Corp."	0.178791
"Orange PLC"	0.174841
"MediaOne Group"	0.174585
"Atlantic Richfield Co."	0.174082
"U S West"	0.168155
"Vodafone Airtouch PLC"	0.153841
"MCI Communications Corp."	0.153579
"Pacific Bell"	0.15284
"Mannesmann AG"	0.147985
"Fred Meyer"	0.143913
"Northeast Utilities"	0.143175
"U.S. Trust"	0.141443
MCI	0.140784
"Atlantic Richfield"	0.139055
"Baby Bells"	0.138972
"SBC Communications"	0.137475
"Lycos Inc."	0.136462
"Monsanto Co."	0.133822
"Chrysler Corp."	0.132816
"T Corp."	0.132814
Airtouch	0.132167
"Lotus Development Corp."	0.13151
PolyGram	0.128483
"CBS Corp."	0.12788
"Vodafone AirTouch"	0.125197
Petrofina	0.124554
"BellSouth Corp."	0.124539
Bestfoods	0.123496
Verizon	0.119162
"Bay Networks"	0.118235
ALZA	0.117902
"Rolls-Royce Motor Cars"	0.117779
"Bankers Trust"	0.117547
YPF	0.117436
"First Union Corp."	0.116486
"Bell South"	0.11562
"Digital Equipment"	0.115479
"Learning Co."	0.115362
VoiceStream	0.114791
"MCI Worldcom Inc."	0.114164
"Digital Equipment Corp."	0.114152
BellSouth	0.111787
"BankBoston Corp."	0.110689
"Global Crossing Ltd."	0.110237
"Telecom Italia"	0.108167
"US West"	0.107853
"MCI WorldCom"	0.106553
SBC	0.105227
"Reno Air"	0.104899
Scania	0.104771
"BankAmerica Corp."	0.103956
"Learning Company"	0.102148
"Exxon Corp."	0.101692
Tropicana	0.100202
"US Airways"	0.0993498
ARCO	0.099139
Paribas	0.0991013
PRIMESTAR	0.098967
TCI	0.0982231
Mobil	0.0982102
Mediaone	0.0974311
"International Business Machines Corp."	0.0973937
Qwest	0.0973769
"Nippon Telegraph"	0.0966658
Amoco	0.0959946
"Bell Atlantic"	0.0958527
"Netscape Communications Corp."	0.093793
Mannesmann	0.0931646
Avondale	0.0931178
Orangina	0.0926684
Ciena	0.0919554
"Times Mirror"	0.091899
"HBO &AMP; Co."	0.0908868
SmithKline	0.0899647
"Texaco Inc."	0.0890021
NatWest	0.0886677
Telmex	0.0886088
Comsat	0.0885313
"Time Warner Inc."	0.0882594
CitySearch	0.0873449
"America Online Inc."	0.0869888
Broadcast.com	0.0868363
"Netscape Communications"	0.0865891
Telefonica	0.08541
BankAmerica	0.0852749
"UBS AG"	0.0851922
"Citigroup Inc."	0.0848982
"Halliburton Co."	0.0848933
"Seagram Co."	0.0847699
GPU	0.0846414
Chris-Craft	0.0841355
"Vanguard Group"	0.0838243
"Cendant Corp."	0.0833735
"Cadbury Schweppes"	0.0826361
Warner-Lambert	0.0825278
"Sprint PCS"	0.0825271
"Deutsche Telekom"	0.0825068
Nabisco	0.0817847
"Bertelsmann AG"	0.0816708
"Southwestern Bell"	0.0814905
"Adobe Systems"	0.0813943
"Union Carbide"	0.0813829
SkyTel	0.0809679
Netcom	0.080859
"RJR Nabisco"	0.0805705
"British Telecommunications"	0.0803437
Seagram	0.0801402
"Warner-Lambert Co."	0.0789882
"McDonnell Douglas"	0.0786093
Broderbund	0.078361
"France Telecom"	0.0782294
"Global Crossing"	0.0779948
"UAL Corp."	0.0777054
"American International Group"	0.0776315
Pairgain	0.0770027
Healtheon	0.0765854
"Columbia Pictures"	0.0765037
"Salomon Brothers"	0.0762256
Snapple	0.0759878
"Ford Motor Company"	0.0758586
"Computer Associates"	0.0757625
"NationsBank Corp."	0.0755434
"SmithKline Beecham"	0.0751362
GEC	0.0751335
Monsanto	0.0750189
"controlling interest"	0.0749541
"Wells Fargo"	0.0747396
"Hambrecht &AMP; Quist"	0.0745186
S-@@@	0.0735089
"Softbank Corp."	0.0730346
"Livent Inc."	0.0730324
ExciteAtHome	0.0722697
TELLABS	0.0722098
Astra	0.0721234
"Saatchi &AMP; Saatchi"	0.0719646
"CMGI Inc."	0.0718046
"Abbott Laboratories"	0.0717516
Fingerhut	0.0717282
"Comcast Corp."	0.0717197
"Chase Manhattan Corp."	0.0716399
Asarco	0.0716118
Vivendi	0.0712371
"Nippon Credit Bank"	0.0709483
Vodafone	0.0708661
GeoCities	0.0708345
"Gillette Co."	0.0705067
WorldCom	0.0704889
PaineWebber	0.0703124
GANNETT	0.0702982
"Blue Cross"	0.0702056
MCA	0.0700247
"Dresdner Bank"	0.0700073
BankBoston	0.0699333
"equity interest"	0.0699282
"Dow Jones &AMP; Co."	0.069801
"Pacific Century Cyberworks"	0.0697741
"Travelers Group"	0.0697421
"Prudential Insurance Co."	0.069681
"J.P. Morgan &AMP; Co."	0.0692103
"Y&AMP;R"	0.0691978
"New York Times Co."	0.0686082
Nextel	0.0684446
"minority stake"	0.0681108
"Liberty Media"	0.0679551
Chrysler	0.0678136
"National Council of La Raza"	0.067759
Telebras	0.0677133
"Thomson Multimedia"	0.0674766
"Bank of Israel"	0.0671171
Rolls-Royce	0.0669805
"Aetna Inc."	0.0669575
"Enron Corp."	0.0666359
"Federated Department Stores"	0.0664785
Hasbro	0.0663461
"Goldman Sachs Group"	0.0662727
"Niagara Mohawk"	0.0662514
Conrail	0.0661867
"Cisco Systems Inc."	0.0654593
WebTV	0.0652307
"Chevron Corp."	0.0651342
Genentech	0.0648924
prudential	0.0647824
Ingram	0.0647809
"Deutsche Bank AG"	0.0647552
Texaco	0.0645883
"EMC Corp."	0.0645238
SFX	0.0640642
Chiron	0.0637953
))
(AmeriTrade (desc 3672.66) (sims
"Charles Schwab"	0.30048
"Charles Schwab Corp."	0.273574
ETrade	0.262423
E-Trade	0.244255
"Charles Schwab &AMP; Co."	0.216756
Datek	0.214145
Schwab	0.195972
"Fidelity Investments"	0.173701
ZDNet	0.148248
E-LOAN	0.138675
"Quick &AMP; Reilly"	0.136855
"Merrill Lynch"	0.129922
CNN.com	0.128871
Priceline.com	0.126508
fidelity	0.124536
Instinet	0.123372
"U.S. Trust"	0.115132
ExciteAtHome	0.113074
Checkfree	0.111985
ALZA	0.111739
ENTREMED	0.108728
Priceline	0.108022
"Nomura Securities Co."	0.103948
"Aetna Inc."	0.103165
NiSource	0.101871
Broadcast.com	0.0998997
"A.R Baron"	0.0972758
"KCP&AMP;L"	0.0951291
Merrill	0.094553
VENATOR	0.0921158
Buy.com	0.0919875
UAL	0.0911366
Healtheon/WebMD	0.0909245
McKesson	0.0903263
CNET	0.0903158
REVLON	0.0901685
"Con Ed"	0.0901599
DoubleClick	0.0891052
"Boston Scientific"	0.0890747
Bristol-Myers	0.0888175
"Cox Communications"	0.0887144
XYLAN	0.0886648
Genzyme	0.0885666
Aetna	0.0885379
"P&AMP;G"	0.0884488
"J&AMP;J"	0.0884418
"Merrill Lynch &AMP; Co."	0.0879916
PaineWebber	0.0878571
EMC	0.0876877
"Putnam Investments"	0.0871998
"Berkshire Hathaway"	0.0871937
Nextel	0.0868723
"Con Edison"	0.0868096
"Handgun Control"	0.0866953
Federated	0.0864951
"US West"	0.0861282
"MCI WorldCom"	0.0860764
eBay	0.085842
MiniMed	0.0857355
Emulex	0.0854365
Providian	0.0851002
Webvan	0.0850109
RJR	0.0849867
Toysrus.com	0.0848711
Honeywell	0.0847682
"New York Times Co."	0.0847087
GPU	0.0846243
CMGI	0.0839279
EarthLink	0.0838932
Starwood	0.0836604
"Times Co."	0.083416
Biogen	0.0832607
"Yamaichi Securities Co."	0.0831649
"Learning Co."	0.0828394
"Computer Associates"	0.0828093
"Morgan Stanley Dean Witter &AMP; Co."	0.0827774
Ciena	0.0821585
"Network Associates"	0.0820528
MCI	0.0817281
Genentech	0.0816199
Agilent	0.0815027
"Thermo Electron"	0.0811261
AGL	0.0810131
"HBO &AMP; Co."	0.0806949
CCE	0.0805736
PLDT	0.0805632
"Niagara Mohawk"	0.0805588
Amgen	0.0800672
HBOC	0.0798344
"Nikko Securities Co."	0.0797895
Hewlett-Packard	0.0795978
"American Express"	0.0793296
TCI	0.0792119
Sunbeam	0.0790703
"Wells Fargo"	0.0789019
Merck	0.0787366
Clorox	0.0787303
Astra	0.0787105
Nortel	0.0783452
Pairgain	0.0781359
GANNETT	0.0781302
"Sara Lee"	0.0778196
Citigroup	0.0775165
Pepsico	0.0772608
"Rite Aid"	0.0771709
Comcast	0.0766638
"Gap Inc."	0.0764714
Pfizer	0.0763421
IDT	0.0763108
"Washington Mutual"	0.07619
Compaq	0.0758658
"Oracle Corp."	0.0757021
SGI	0.0756047
"Waste Management"	0.0753946
Mediaone	0.0753182
TELLABS	0.0750934
Akamai	0.0750664
Petrofina	0.075021
"JDS Uniphase"	0.0749626
"Adobe Systems"	0.0745541
Lycos	0.0745331
Nomura	0.0743275
Nabisco	0.0742679
"Continental Airlines"	0.0739017
Amazon	0.073814
Asarco	0.0736979
"Sprint PCS"	0.0736729
Totalfina	0.0732443
Bridgestone	0.0731067
AMR	0.0729731
GTE	0.0729371
"Pacific Century"	0.0729095
ZIFF-DAVIS	0.072738
"Philip Morris"	0.0724714
"Morgan Stanley Dean Witter"	0.0724463
Gymboree	0.072334
PEOPLESOFT	0.0720107
"United Technologies"	0.0718765
Qualcomm	0.0718683
eToys	0.0714236
"Time Warner"	0.0714079
"BP Amoco"	0.0712466
Maytag	0.0711673
"brokerage firm"	0.0711136
Yahoo	0.0709386
Telefonica	0.0706365
"State Street"	0.0704689
TheStreet.com	0.0704279
Fingerhut	0.070298
SBC	0.0702412
Ameritech	0.0702287
Enron	0.0701996
Travelocity	0.0699021
"Silicon Graphics"	0.0698445
Alltel	0.0697081
Chiron	0.0696906
Raytheon	0.0696814
"AMR Corp."	0.0696286
"Ford Motor"	0.0696241
Qwest	0.0696181
Dupont	0.0694359
Allstate	0.0694092
Polaroid	0.0692618
"Bank of America"	0.069136
Hasbro	0.069082
"Morgan Stanley"	0.0690305
Exxon	0.0688113
Penney	0.0684947
"Bell Atlantic"	0.0684533
"Southwestern Bell"	0.0683351
"Bear Stearns"	0.0683041
"Northeast Utilities"	0.0682226
"Federal Express"	0.0681641
AutoNation	0.0681581
Paribas	0.0681202
Alcoa	0.0681028
Seagram	0.0679966
Mastercard	0.0677591
"RJR Nabisco"	0.0677489
"UAL Corp."	0.0677028
Seagate	0.0676429
"Chevron Corp."	0.0675613
"U S West"	0.0673067
Verizon	0.0672856
BCE	0.0671582
Conseco	0.0668224
Texaco	0.0668038
"International Paper"	0.0667989
"Handgun Control Inc."	0.0667867
Viacom	0.0666825
Anheuser-Busch	0.0666786
Amazon.com	0.0666249
Cisco	0.0665791
WorldCom	0.0664145
"Network Solutions"	0.0663762
Airtouch	0.0663033
DaimlerChrysler	0.0662961
Halliburton	0.0662502
Alcatel	0.0661612
Cendant	0.0661581
))
(Ames (desc 8226.58) (sims
"Iowa City"	0.109816
"Cedar Rapids"	0.0906591
Dubuque	0.0833815
"Des Moines"	0.0811497
"Mount Pleasant"	0.074097
Iowa	0.0687465
Windsor	0.0610755
Greenfield	0.0605549
"Park City"	0.0589654
Waterloo	0.0587632
Portsmouth	0.0580709
"New Hampshire"	0.0572506
Jasper	0.0571164
Harlem	0.0564765
Carlisle	0.0562788
Knoxville	0.0561751
Provo	0.0558119
Charleston	0.0554503
Hanover	0.0552996
Greensboro	0.05473
"Long Beach"	0.0545395
Concord	0.0545136
Greenville	0.0541539
TALLAHASSEE	0.0538097
Edinburgh	0.053502
Shepherdstown	0.0532379
Turin	0.0531573
Santiago	0.0530722
Carthage	0.0530218
Burlington	0.0529832
Tuscaloosa	0.0528687
Dakar	0.0523487
Marineau	0.052267
Dayton	0.0521842
Plattsburgh	0.0519267
"Palm Beach"	0.0519186
Elmira	0.0518602
Wilmington	0.0516568
Toledo	0.0511974
Yonkers	0.0511934
WARSAW	0.0511905
Austin	0.0510841
Woburn	0.0510695
Eureka	0.0510573
Hartford	0.0509904
Logan	0.0507585
Nazareth	0.0507205
ASHEVILLE	0.0506742
"Atlantic City"	0.0506377
Bellevue	0.0504975
Lancaster	0.0504822
Fairfield	0.0500088
Winnipeg	0.0499997
Bethlehem	0.0499089
Johnston	0.0498599
Omaha	0.0498499
Dublin	0.0497929
Indianapolis	0.0497284
Schenectady	0.0495546
"Oklahoma City"	0.0495046
"Tel Aviv"	0.0493706
Chamonix	0.0493325
Raleigh	0.0493074
Bedford	0.0492679
"Lake Placid"	0.0492168
Manchester	0.0492152
"Wichita Falls"	0.0490261
Pasadena	0.0489894
Kingston	0.0489618
Akron	0.048881
Conyers	0.0486078
Chappell	0.0485353
BUDAPEST	0.0483334
"College Station"	0.0482732
CARACAS	0.0481883
Boise	0.0480761
Ogden	0.0480281
Tampa	0.0480063
Boone	0.0479895
Tucson	0.0479568
Utica	0.0477784
Albuquerque	0.0476966
"St. Paul"	0.0475425
Blacksburg	0.0474348
Albany	0.0473571
"Fort Worth"	0.0473181
Providence	0.0471675
Aachen	0.0471669
Lyon	0.047165
Cartagena	0.0471321
MELBOURNE	0.0471026
Andreessen	0.0470376
Kettering	0.0469045
Ruehe	0.0467584
Gogel	0.0467026
Chester	0.0465848
caucus	0.046577
Huntsville	0.0465596
PALERMO	0.0465423
Lowery	0.0465287
"New Orleans"	0.0464994
Lyons	0.0464905
Forrest	0.0464772
"Mexico City"	0.0464262
"South Carolina"	0.0463415
Birmingham	0.0463343
Lucerne	0.0462448
Newport	0.0461873
Salzburg	0.0461547
Lexington	0.0461134
Berkeley	0.0460108
Kabwe	0.0459881
CANCUN	0.0459448
Bronfman	0.045732
Clifton	0.0456402
Bloomington	0.0456096
Madison	0.0455553
"Saratoga Springs"	0.0453201
Lubbock	0.0452406
Nashville	0.0452261
"Los Alamos"	0.0452117
Rochester	0.0451963
Honolulu	0.0450241
Tulsa	0.045024
Atwood	0.0450146
"Myrtle Beach"	0.0449979
Hillsboro	0.0448832
"Union City"	0.0448764
Dunne	0.0447485
Hoffmann	0.0446824
estes	0.0446681
"St. Petersburg"	0.044604
Evans	0.0445965
nance	0.0444981
Merida	0.0444968
Tijuana	0.0444749
Jorgensen	0.0443977
Gillick	0.0443953
Medtronic	0.0443254
McAllister	0.0443238
Crocker	0.0442709
Norfolk	0.0441833
"Kosovo Polje"	0.0440429
"Palo Alto"	0.0439633
Windhoek	0.0439329
Reforma	0.0439048
Richmond	0.043888
Dresden	0.0438418
Worcester	0.0436473
Columbia	0.0435912
Seymour	0.0435847
Engelberg	0.0435384
Callaway	0.0435007
Florence	0.0434166
"Niagara Falls"	0.0434144
"East Room"	0.0434027
Havana	0.0433904
Laramie	0.0433385
Hawaii	0.0432776
Selma	0.0432682
Weimar	0.043157
"Cape Town"	0.0431245
"Virginia Beach"	0.0430437
"Granite State"	0.0430324
Freeport	0.0430077
Salem	0.0429968
Seville	0.0429873
Sarasota	0.0429723
Woolworth	0.0429402
"Salt Lake City"	0.0428791
"New Haven"	0.0427932
Egan	0.0427817
"Santa Fe"	0.0427555
Lausanne	0.0427369
"Iowa State University"	0.0426616
"Chapel Hill"	0.0426556
Vienna	0.0426081
Huntington	0.0425948
"Santo Domingo"	0.0425599
Belfast	0.0425121
Elkington	0.0424876
Kay	0.0424483
anchorage	0.0423744
Littleton	0.0423518
Durham	0.0423363
Kaczynski	0.0423125
Ramallah	0.0422408
Lansing	0.0422318
"Santa Rosa"	0.0421745
Puzo	0.0421622
Perth	0.0421467
Mansfield	0.0421428
Scottsdale	0.0421121
Monroe	0.0420565
Orlando	0.0419884
"Kosovska Mitrovica"	0.0419002
Hoboken	0.0418949
O'Malley	0.0418528
Osaka	0.041833
"Egyptian capital"	0.0417596
))
(AMEX (desc 2530.61) (sims
"American Stock Exchange"	0.173471
"Big Board"	0.127161
NYSE	0.112911
NASD	0.095915
"New York Stock Exchange"	0.0923179
Comsat	0.0916956
"McDonnell Douglas"	0.0821303
"Bankers Trust Corp."	0.0809953
PSE	0.0781583
COSCO	0.0749489
Dreyfus	0.0726245
AHP	0.0722381
"U.S. Trust"	0.070854
"National Association of Securities Dealers"	0.0706966
Petrofina	0.070287
Pairgain	0.0701468
Broadcast.com	0.0688458
TCI	0.0678361
LIFFE	0.0675639
Mastercard	0.0668768
DSE	0.0655451
GTE	0.0655191
"Bay Networks"	0.0654457
MCI	0.0648277
"W.R. Grace"	0.0647102
"Learning Company"	0.0641575
SSE	0.0638592
Daimler	0.063488
CCF	0.0628376
ALZA	0.0628016
"Tourism Authority of Thailand"	0.0627919
"Atlantic Richfield"	0.0626596
OCA	0.0625115
PolyGram	0.0624676
"BankAmerica Corp."	0.0622874
Amoco	0.0620822
CFTC	0.0620478
"Y&AMP;R"	0.0619857
Electrolux	0.0619468
"Time Inc."	0.0612007
ATC	0.061138
Humana	0.0608376
KSE	0.0605065
"Fred Meyer"	0.0604523
"Stock Exchange of Thailand"	0.0603283
Duracell	0.060306
"Gillette Co."	0.0601023
VEBA	0.059886
"Mobil Corp."	0.0596006
BankAmerica	0.0594101
"Islamic Movement"	0.0589592
JetBlue	0.0588664
IC	0.0586109
AFL	0.0582986
Opry	0.0581791
Chrysler	0.0579521
"Fallon McElligott"	0.0578952
SDP	0.0578194
"BankBoston Corp."	0.0577512
Genzyme	0.0576125
PBC	0.0574859
"Nasdaq Stock Market"	0.0574025
EarthLink	0.0573524
"Chrysler Corp."	0.0572788
"American Express"	0.0571473
Ameritech	0.0567965
"Times Mirror Co."	0.0566615
Citicorp	0.056608
cn	0.0565613
RIAA	0.056485
"First Union"	0.0564759
Hasbro	0.0564359
Netcom	0.0564147
Internet@	0.0564133
"Con Ed"	0.0564004
pan-European	0.0561335
Bestfoods	0.0560933
"District Council"	0.0560869
"human race"	0.0560119
CIRC	0.0559963
Deutsche	0.0559565
"MCI Communications Corp."	0.0558417
"Wells Fargo"	0.0557249
PECC	0.0556051
RJR	0.0555289
Nabisco	0.0554678
"America West Airlines"	0.0553639
CSE	0.0553466
NTRA	0.0553142
"MediaOne Group"	0.05525
examiner	0.0549537
Orangina	0.0549526
"Computer Associates"	0.0548508
Bovespa	0.0548202
"Philippine Stock Exchange"	0.0547653
AmCham	0.0546275
"GTE Corp."	0.0544427
Totalfina	0.0544156
Kia	0.0540921
PEOPLESOFT	0.0539424
Polaroid	0.0538776
ARCO	0.0538663
ExciteAtHome	0.0537137
"Jakarta Stock Exchange"	0.0536378
Daimler-Chrysler	0.0536163
"Pacific Lumber"	0.0534102
Warner-Lambert	0.0533345
"US Airways"	0.0532552
"U S West Inc."	0.0532449
"Times Mirror"	0.053174
KPA	0.0531223
WebMD	0.0530961
"Union Carbide"	0.0530204
"Hughes Electronics"	0.0530168
"Ameritech Corp."	0.0528083
"Tele-Communications Inc."	0.0528019
CDB	0.0526203
"Arnold Communications"	0.0524592
Pillsbury	0.0524513
"House International Relations Committee"	0.0523168
"Screen Actors Guild"	0.0521694
"Atlantic Richfield Co."	0.0521001
NatWest	0.0518804
"Tokyo Stock Exchange"	0.0518189
Paribas	0.0517559
Datek	0.0515483
"Canadian Alliance"	0.0514646
"State Street"	0.0514601
Mobil	0.051262
BankBoston	0.0512511
"Western Union"	0.0508575
"US House"	0.0508239
"Defense Agency"	0.0506943
"Salt Lake Organizing Committee"	0.0506807
"Salomon Brothers"	0.0506521
Autodesk	0.0505988
"Monsanto Co."	0.0505682
Telefonica	0.0505545
"Frontier Corp."	0.0504611
"Blue Cross"	0.0503331
"Pacific Bell"	0.0503315
Airtouch	0.050328
DAX	0.0502626
"Orange PLC"	0.0500926
AUM	0.0499644
CNOOC	0.0498894
"Congressional Black Caucus"	0.0498846
"non-performing loans"	0.0498464
"New Korea Party"	0.0498193
"Tupac Amaru Revolutionary Movement"	0.0498133
"HBO &AMP; Co."	0.0497958
"Lotus Development Corp."	0.0496761
"London Stock Exchange"	0.0496467
IX	0.0495852
PictureTel	0.04935
Priceline	0.0493007
Snapple	0.0491368
"Mormon Church"	0.0491038
Scania	0.0490993
CNTA	0.0489963
ama	0.0489813
WEF	0.0489752
"Hong Kong Stock Exchange"	0.0489254
YPF	0.0489072
MKO	0.0488548
CAC	0.0486392
"National Thoroughbred Racing Association"	0.0485177
Instinet	0.0484013
ETrade	0.0483418
VISTEON	0.0483191
CMA	0.0483093
UPU	0.048308
Sidanko	0.048247
Mannesmann	0.0482005
magpie	0.048103
Novartis	0.0480375
Scientific-Atlanta	0.0479496
Tropicana	0.0479258
UPI	0.0477406
DLC	0.047724
"Telecom Italia"	0.0476262
CCB	0.0475341
"Banking Committee"	0.0473375
Salomon	0.047296
"Digital Equipment Corp."	0.0472264
"Medicare HMO"	0.0472231
eco	0.0472027
"CBS Sports"	0.0471976
SmithKline	0.0471933
"Digital Equipment"	0.0471441
WEU	0.0470314
Monsanto	0.0469964
Seagram	0.0469697
"Pacific Exchange"	0.046795
"Delphi Automotive Systems"	0.0466923
"Operation Rescue"	0.0466401
ATI	0.0466021
"Local @@"	0.0465431
SDL	0.0464532
"Bankers Trust"	0.0463582
))
(AMF (desc 855.64) (sims
"Thermo Electron"	0.154398
Danka	0.126804
EOHR	0.120441
Tenneco	0.11805
CAA	0.101118
"Big Blue"	0.0958162
MPAA	0.0942746
IDT	0.0917402
Wada	0.091197
Sepracor	0.0900423
CSE	0.0890947
Rudman	0.0886129
Seagate	0.0883457
MiniMed	0.0877371
JAL	0.0865249
NORTHROP	0.086518
BOJ	0.0852497
TYCO	0.0851376
"Stride Rite"	0.08462
Sunbeam	0.0836426
E-LOAN	0.0835158
AOC	0.0824987
COLTEC	0.082338
"Rite Aid"	0.0819155
"Pacific Century"	0.0817791
ITC	0.0811762
SDPC	0.0809429
AMR	0.0806344
Healtheon/WebMD	0.0804524
"U.S. Soccer Federation"	0.0803827
Pairgain	0.0796097
Daimler	0.0794128
Cendant	0.079125
UAL	0.0786857
YPF	0.0783168
Biggs	0.0778891
"Truth Commission"	0.0769223
"Beth Israel"	0.0762628
TDB	0.0762421
McKesson	0.0760009
"P&AMP;G"	0.075609
SGI	0.0749539
Starwood	0.0747165
Halliburton	0.0739801
EBRD	0.0737288
Autodesk	0.0728872
"U.S. Treasury Department"	0.0720907
PSE	0.0718438
SSB	0.0713899
PictureTel	0.0713448
"U.S. Agriculture Department"	0.0709046
AIG	0.0708075
LTCB	0.0707809
AutoNation	0.0703549
BOC	0.0701559
Massport	0.0699892
RJR	0.0698193
Roberds	0.0690145
RAMBUS	0.0689857
China.com	0.0689022
Tandy	0.0688447
Livent	0.0685932
AHP	0.0685199
Cabletron	0.0684371
Pitney	0.0681066
Georgia-Pacific	0.0677107
OPIC	0.0674604
ExciteAtHome	0.0662263
Warnaco	0.0661819
ICBC	0.0658521
Avondale	0.065746
Vivendi	0.0656369
HBOC	0.0655947
GSS	0.0651973
USEC	0.0651076
CCB	0.0650174
"Commerce Ministry"	0.0648625
CDB	0.0645595
BOI	0.0645346
Copley	0.0644941
"Defense Agency"	0.0637173
CSC	0.063387
IEA	0.0633581
Penney	0.0632306
"Union Carbide"	0.0632184
UNDCP	0.0632093
"Ben &AMP; Jerry"	0.0630731
SDB	0.0627004
CBC	0.0624243
CNOOC	0.0621855
Colgate	0.0620719
SBC	0.0619102
Lockheed	0.0619066
Petrofina	0.0618731
Belo	0.061835
Agilent	0.0617778
Berkshire	0.0614104
NSA	0.0613714
AMC	0.0611805
BofA	0.0610431
XYLAN	0.0608755
Raytheon	0.0608034
Koop	0.0607941
Callaway	0.0606791
Tat	0.0604334
PLDT	0.0602399
"Business Times"	0.0601193
Occidental	0.0600992
Nomura	0.0599221
Sumitomo	0.0598615
"British government"	0.0597484
"National Grid"	0.0596588
VENATOR	0.0596577
Hancock	0.0595881
Clorox	0.0594773
"HBO &AMP; Co."	0.059356
AGL	0.0593142
CCE	0.0592611
"BellSouth Corp."	0.0591039
Vasile	0.0589974
Kenna	0.0589017
WEF	0.0587483
Bundesbank	0.0586961
CPF	0.0586317
Goodrich	0.0585832
Odwalla	0.0583797
TDC	0.0581384
Medtronic	0.0579755
ABA	0.0578019
"Dayton Hudson"	0.0571285
CUC	0.0569394
Abercrombie	0.05687
"U.S. Defense Department"	0.056775
GEC	0.0566518
Bristol-Myers	0.0566484
Gillette	0.0565534
"Straits Times"	0.0563878
SCI	0.0563457
"Kenyan Government"	0.0563307
Kroll	0.0562957
"Nihon Keizai"	0.0562137
IGC	0.0561965
Chiron	0.055903
Mattel	0.0558429
"US State Department"	0.0556909
Nortel	0.0556411
EPZ	0.0556164
NCR	0.0554764
"Allied Signal"	0.0554572
ISO	0.0552597
Hewlett	0.0552369
Iridium	0.0551527
CCC	0.0548856
Enron	0.0548807
CBK	0.054815
"Nihon Keizai Shimbun"	0.054782
"Transport Ministry"	0.0547359
NiSource	0.0546582
Gaynor	0.0546216
"U.S. Commerce Department"	0.0546141
"Texas Department of Public Safety"	0.054587
RIAA	0.0545761
CBI	0.0545196
Eximbank	0.0545029
ECB	0.0544035
"New Nigerian"	0.0543802
ACOG	0.0542892
NHTSA	0.0542726
DFB	0.0542665
Omnicom	0.0542226
INTERFET	0.0539225
HKTA	0.05385
WAM	0.0538474
Wenger	0.0538255
"U.S. Administration"	0.0538174
NTT	0.0537439
"San Miguel"	0.0537148
"Chronicle Publishing"	0.0536016
ITTF	0.0535697
API	0.0534297
SUNY	0.0533271
JMC	0.0533103
Providian	0.0531984
ISTAT	0.0531376
Nextel	0.0529779
Telmex	0.0527636
UNFPA	0.0527234
KPA	0.0527219
"Y&AMP;R"	0.0527026
Genzyme	0.0526784
NatWest	0.0526126
GEF	0.0525926
Brownlee	0.0525301
ACFTU	0.0525106
Incyte	0.0524603
"Societe Generale"	0.052402
Inktomi	0.0520487
Scientific-Atlanta	0.0519986
Emulex	0.0519077
"El Mundo"	0.0518146
))
(Amgen (desc 6712.27) (sims
Genentech	0.244854
Genzyme	0.233314
Chiron	0.227783
Biogen	0.214124
Immunex	0.205642
Pfizer	0.19589
"J&AMP;J"	0.168877
ENTREMED	0.167452
EMC	0.165771
Warner-Lambert	0.16477
ALZA	0.163804
Merck	0.16357
Novartis	0.16177
Sepracor	0.158465
"Eli Lilly"	0.15702
AHP	0.156044
"Johnson &AMP; Johnson"	0.155961
Monsanto	0.154621
Roche	0.154546
Lilly	0.152957
Ciena	0.152713
McKesson	0.149061
"Glaxo Wellcome"	0.148487
MiniMed	0.148155
UAL	0.148133
Qualcomm	0.145998
Schering-Plough	0.141965
SmithKline	0.141345
Gillette	0.141118
oracle	0.14088
Astra	0.140369
Kodak	0.139433
Pepsico	0.139046
Nortel	0.138916
Healtheon	0.138899
Emulex	0.135612
"P&AMP;G"	0.135415
RJR	0.134998
"Bristol-Myers Squibb"	0.134372
Warnaco	0.134187
"Procter &AMP; Gamble"	0.132656
Pharmacia	0.130997
AMR	0.130423
E-LOAN	0.130391
Corel	0.130364
Aetna	0.13025
RAMBUS	0.130025
"HBO &AMP; Co."	0.129627
Compaq	0.129312
Cisco	0.128976
Priceline	0.128892
Bristol-Myers	0.128749
AstraZeneca	0.128731
Unilever	0.127942
"Dell Computer"	0.12764
"Pharmacia &AMP; Upjohn"	0.127545
PEOPLESOFT	0.127141
TELLABS	0.126936
RealNetworks	0.126637
Intel	0.126632
TKT	0.12662
"JDS Uniphase"	0.126215
"Fannie Mae"	0.125578
Mattel	0.124808
TYCO	0.124471
PLDT	0.124262
"U.S. Trust"	0.123929
Bestfoods	0.123896
"Times Mirror"	0.123838
Hasbro	0.123611
Enron	0.123503
adobe	0.123418
Honeywell	0.122842
Dupont	0.122808
BankAmerica	0.12237
Litton	0.12233
Motorola	0.122078
Alcoa	0.121897
ascend	0.121477
Glaxo	0.121476
ExciteAtHome	0.121395
Halliburton	0.121122
"Adobe Systems"	0.121117
Novell	0.120761
CMGI	0.11967
HP	0.119453
"General Electric"	0.119387
Polaroid	0.119288
Hewlett-Packard	0.118413
"Silicon Graphics"	0.117846
Unisys	0.117703
Cendant	0.117234
Priceline.com	0.116499
AMD	0.116243
"Waste Management"	0.116153
Seagate	0.116011
Ericsson	0.115968
VENATOR	0.115369
Starwood	0.115328
Raytheon	0.115132
Sunbeam	0.114323
Seagram	0.114143
"Thermo Electron"	0.113569
REVLON	0.11353
Citigroup	0.1135
Corning	0.113372
"Dow Chemical"	0.113285
"Merck &AMP; Co."	0.113071
NatWest	0.112984
Texaco	0.1129
"Cisco Systems"	0.112094
IBM	0.112035
"American Home"	0.112023
Mannesmann	0.11199
Nokia	0.111941
"Global Crossing"	0.111881
Broadcom	0.111796
ARCO	0.111662
"RJR Nabisco"	0.111615
"Exxon Mobil"	0.111385
Mobil	0.111382
XYLAN	0.111232
Agilent	0.110901
Intergraph	0.110736
Gilead	0.110723
Xerox	0.110677
Exxon	0.110411
"SmithKline Beecham"	0.110388
CCE	0.109951
SBC	0.109683
Chevron	0.10926
Viacom	0.109233
Zeneca	0.10896
"BP Amoco"	0.108705
"American Home Products"	0.108704
Checkfree	0.108678
"Oracle Corp."	0.108455
"Union Carbide"	0.108196
Qwest	0.108173
AlliedSignal	0.107825
Pairgain	0.107566
"Times Co."	0.107315
"National Semiconductor"	0.107027
"Gap Inc."	0.106762
GTE	0.106675
NiSource	0.106626
"Coca-Cola Co."	0.106498
EarthLink	0.106219
Scientific-Atlanta	0.106073
"First Union"	0.105962
COLTEC	0.105623
Livent	0.105537
Petrofina	0.105527
Vivendi	0.1052
"U S West"	0.105091
WorldCom	0.105024
WPP	0.104641
"International Paper"	0.104601
"De Beers"	0.10457
HBOC	0.104352
Infoseek	0.104266
"Red Hat"	0.103422
"Dell Computer Corp."	0.103337
"Apple Computer"	0.103265
Healtheon/WebMD	0.102958
"Computer Associates"	0.102633
"Allied Signal"	0.102316
"Eli Lilly &AMP; Co."	0.102229
Dell	0.102188
Informix	0.102134
GANNETT	0.101991
Cabletron	0.10142
"Eastman Kodak"	0.100648
"Lockheed Martin"	0.100627
Nabisco	0.10059
"American Express"	0.100519
BHP	0.100271
Bridgestone	0.100204
Clorox	0.0996486
Maytag	0.0993774
Abbott	0.0993482
"Sony Corp."	0.0992956
Kellogg	0.0992118
"Philip Morris"	0.0991649
SGI	0.0990638
"Monsanto Co."	0.0989728
Georgia-Pacific	0.0987337
"Pfizer Inc."	0.0985821
"News Corp."	0.0981306
"Pacific Century"	0.0978616
"Motorola Inc."	0.097797
Goodyear	0.0975869
"Boston Scientific"	0.0975514
Nextel	0.09719
"Rite Aid"	0.0970057
Gazprom	0.0969963
Telstra	0.0968919
"Intel Corp."	0.0967953
Aventis	0.0966254
UBS	0.096493
))
(Amherst (desc 6875.18) (sims
Medford	0.133749
Wellesley	0.126068
Englewood	0.124984
LAKEWOOD	0.123232
"Woodland Hills"	0.12263
Malden	0.121092
Pelham	0.120558
"New Rochelle"	0.119525
Somerville	0.119385
Brookline	0.119227
Stockbridge	0.118242
Westfield	0.117742
Dartmouth	0.117628
Needham	0.117398
Watertown	0.116443
Chappaqua	0.11556
"Saratoga Springs"	0.112472
BRIGHTON	0.112111
Encino	0.111702
Morristown	0.110853
Deerfield	0.109887
Montclair	0.109272
Williamstown	0.109012
Chatsworth	0.108683
Bridgehampton	0.10864
Cambridge	0.108379
Braintree	0.105045
Riverdale	0.1045
Evanston	0.104039
"Westchester County"	0.103837
Derry	0.103626
Reseda	0.103563
Northampton	0.103294
Bedford	0.103221
"Garden City"	0.103201
Tarrytown	0.102948
Lowell	0.102597
Quincy	0.102341
Brockton	0.101897
"Overland Park"	0.101838
Worcester	0.101581
Brentwood	0.100655
Alpharetta	0.100028
Princeton	0.0997367
Salem	0.0981091
Pittsfield	0.097839
Plano	0.0977507
Berkeley	0.0960343
Scarsdale	0.0954375
Naperville	0.0948126
MINEOLA	0.0947701
Hopkinton	0.0936704
Falmouth	0.0933012
Chatham	0.0924489
ATTLEBORO	0.0919029
Claremont	0.0917896
"Chapel Hill"	0.0915475
Waltham	0.0911966
"Hyde Park"	0.090838
Ithaca	0.0908025
Gloucester	0.0905396
Newton	0.0905261
"East Orange"	0.0899207
"Van Nuys"	0.0891593
Irvington	0.0885899
Walpole	0.0885109
Milford	0.0884403
Framingham	0.0880738
"New Bedford"	0.0880712
Glendale	0.0880468
Holyoke	0.087625
Tarzana	0.0876022
Weston	0.0873916
"Silver Spring"	0.0851135
Milton	0.0848622
Farmington	0.0845812
Easton	0.0840513
Provincetown	0.083759
"Paradise Valley"	0.083199
Wallingford	0.0830151
Lawrenceville	0.0825884
Tempe	0.0825372
"South Boston"	0.0819223
Burlington	0.0819174
canton	0.0815926
Yonkers	0.0815926
"La Jolla"	0.0815727
Bensonhurst	0.0815263
Bloomfield	0.08151
Marlborough	0.0813716
Hyannis	0.0811941
"White Plains"	0.0811608
"Fort Lee"	0.0806286
Duluth	0.0805091
"Mill Valley"	0.0798667
Charlestown	0.0795962
Hillsboro	0.07947
"New London"	0.0794098
"Great Neck"	0.07923
Lenox	0.0792023
Carmel	0.0790423
Lexington	0.0787414
"Cherry Hill"	0.0774096
Yale	0.0773195
Surrey	0.0773102
"Lake Worth"	0.0771779
Poughkeepsie	0.077066
"Granada Hills"	0.0768074
"Palo Alto"	0.0767698
Georgetown	0.0764936
Norwood	0.076403
Bethesda	0.0760214
Westport	0.0759747
Portsmouth	0.0759233
"Palm Beach Gardens"	0.0758896
Arlington	0.0756995
Hempstead	0.0756157
Norwich	0.0754422
"Sherman Oaks"	0.0754184
Andover	0.07541
Barrington	0.0753636
Plymouth	0.0750538
"Cobb County"	0.0750402
Greenwich	0.0750009
Springfield	0.0746532
"University of Massachusetts"	0.0744458
Peterborough	0.0744233
Concord	0.0743973
Fairfield	0.0740735
Jamestown	0.0740343
"Simi Valley"	0.0739143
Burbank	0.0735072
Woburn	0.0733664
"Newport Beach"	0.0732579
Leawood	0.0730871
Rochester	0.0728362
McLean	0.0725439
Stamford	0.0725059
Hanover	0.0723109
"Massachusetts Institute of Technology"	0.0718751
Oxford	0.071791
Cicero	0.0716507
"Delray Beach"	0.0716313
Decatur	0.0715844
"Highland Park"	0.0715057
"Westlake Village"	0.0714749
"Bel Air"	0.0713498
Acton	0.071279
"Forest Hills"	0.0711334
"East Hampton"	0.0711266
"Brown University"	0.0710327
Wilton	0.0705103
Sausalito	0.0705046
Hialeah	0.0700926
Wesleyan	0.0699603
Raleigh	0.0696745
Peekskill	0.0695631
"Mount Vernon"	0.0690481
Albany	0.0689123
Hollis	0.0687806
Flushing	0.0687234
"Virginia Beach"	0.0686249
"Studio City"	0.0686127
Bloomington	0.0686102
riverside	0.0684997
MIT	0.0684727
Greenville	0.0684406
Pomona	0.0683437
Skaneateles	0.0680922
Ridgewood	0.0679617
ASHEVILLE	0.0678472
Exeter	0.067795
Uniondale	0.0677599
"Walnut Creek"	0.0677271
Bellevue	0.0676797
bethel	0.0674983
Vassar	0.0674902
Dorchester	0.0674167
Harvard	0.0673851
Westwood	0.0673217
"Round Rock"	0.067228
"North Hollywood"	0.0672031
"Ann Arbor"	0.0669971
Newark	0.0669449
Norwalk	0.0666317
"Boynton Beach"	0.0664937
Camden	0.0663574
Williamsburg	0.0662859
Fresno	0.0662656
"Coral Gables"	0.0662251
Middletown	0.0660738
Pacoima	0.0660271
"New Haven"	0.0660024
Columbia	0.0655304
Manchester	0.0655069
Schenectady	0.0653972
"Fairfax County"	0.0652273
Fairfax	0.0651418
Colby	0.065085
rye	0.0650191
))
("Amherst College" (desc 1472.36) (sims
"Williams College"	0.322587
"Smith College"	0.296939
"Brown University"	0.241209
"Dartmouth College"	0.210421
"City College"	0.207398
"Duke University"	0.203142
"Yale university"	0.198398
"Yale Law School"	0.192963
"University of Kansas"	0.19098
"Harvard Law School"	0.190273
"Princeton University"	0.187496
"Northwestern University"	0.183926
"New York University"	0.179045
"Syracuse University"	0.177757
"University of Massachusetts"	0.168153
"Barnard College"	0.166746
"American University"	0.165202
"Ohio State University"	0.163194
"Stanford University"	0.162311
"University of Missouri"	0.160764
"Harvard Business School"	0.15954
Vassar	0.157626
"University of Michigan"	0.15423
"Cornell University"	0.1541
"University of Chicago"	0.152117
"University of North Carolina"	0.151683
"University of Texas"	0.149545
"Oxford University"	0.149403
"Harvard University"	0.149315
"Indiana University"	0.148803
"University of Southern California"	0.148765
"University of Florida"	0.147066
"University of Georgia"	0.146549
"Northeastern University"	0.146429
"Columbia University"	0.145444
"University of Minnesota"	0.145373
"Southern Methodist University"	0.144896
"University of Wisconsin"	0.144799
"University of Iowa"	0.144743
"George Washington University"	0.144246
"Harvard College"	0.142946
"California State University"	0.141541
"Johns Hopkins University"	0.140412
"naval academy"	0.139304
Princeton	0.138866
"University of Washington"	0.134849
"Washington State University"	0.13462
Yale	0.130969
"University of Rochester"	0.130556
"Georgetown University"	0.13038
"Iowa State University"	0.129955
"University of Utah"	0.128958
"Georgia State University"	0.128936
"University of Illinois"	0.125882
"Boston University"	0.125859
"Washington University"	0.125343
"University of Connecticut"	0.124715
"Howard University"	0.124604
"Texas Christian University"	0.122837
Cornell	0.120868
"Brigham Young University"	0.120069
"University of Maryland"	0.117145
"U.S. Naval Academy"	0.117019
"University of South Carolina"	0.116218
"Purdue University"	0.116156
"Fordham University"	0.116105
"Michigan State University"	0.115656
"North Carolina State University"	0.115414
"University of California"	0.114419
"West Point"	0.113934
"Massachusetts Institute of Technology"	0.113767
"Wright State University"	0.113604
"Harvard Medical School"	0.112275
"Hunter College"	0.111824
"McGill University"	0.110569
"State University of New York"	0.10815
"University of Nebraska"	0.107752
"Beijing University"	0.107363
"University of Arizona"	0.107125
"Pennsylvania State University"	0.107122
"Rutgers University"	0.106922
Dartmouth	0.106864
"UC Berkeley"	0.106335
"University of Pennsylvania"	0.105511
"University of Pittsburgh"	0.103731
"Rockefeller University"	0.102605
"Tufts University"	0.0994636
MIT	0.099458
"University of Virginia"	0.0993346
"Florida State University"	0.0990413
"Boston College"	0.0987242
"University of Kentucky"	0.0962756
"London School of Economics"	0.0960477
"Emory University"	0.0943042
"Brandeis University"	0.0939838
"University of New Hampshire"	0.0936414
"City University of New York"	0.0933633
"Rice University"	0.0928875
"Cambridge University"	0.0923317
"University of Tennessee"	0.0919413
Oxford	0.0916312
"University of Miami"	0.0903571
"Trinity College"	0.0902652
"Wesleyan University"	0.089513
"University of New Mexico"	0.089497
"Kennedy School of Government"	0.0891201
"University of Colorado"	0.0880889
"California Institute of Technology"	0.0878875
"University of Maine"	0.0877146
UT	0.0875783
"Holy Cross"	0.0869387
"University of Alabama"	0.0864745
Sorbonne	0.0858506
"art school"	0.0850712
"Wake Forest University"	0.0846187
"business school"	0.0841206
seminary	0.0840469
"Queens College"	0.0826817
"Texas Tech University"	0.0814085
"school of law"	0.0813576
"Hofstra University"	0.0803472
"Louisiana State University"	0.0801535
"University of Oklahoma"	0.0800217
"Carnegie Mellon University"	0.0794187
"Urban Institute"	0.0786925
"University of Toronto"	0.0780617
"University of Rhode Island"	0.0773161
"University of Dayton"	0.0772568
"Vanderbilt University"	0.0762483
"University of Hong Kong"	0.0755546
"Johns Hopkins"	0.0752341
CalTech	0.0748419
"Baylor University"	0.0746093
"Kansas State University"	0.0743309
IU	0.0722242
"Catholic University"	0.0706842
"Juilliard School"	0.0704602
"Harvard School of Public Health"	0.0700481
Radcliffe	0.0694378
"military academy"	0.068598
Eton	0.0683838
"University of Notre Dame"	0.0681487
"police academy"	0.0677057
"University of Wyoming"	0.0662153
"Kennedy School"	0.0658515
Brandeis	0.0645662
"Carnegie Endowment"	0.064002
"Baylor College of Medicine"	0.0637969
Georgetown	0.0624117
"Mount Sinai Medical Center"	0.0616538
"American Enterprise Institute"	0.0603736
"University of Oregon"	0.0599906
"National Institute"	0.0595015
"United Republic of Tanzania"	0.0589128
UGA	0.0587933
"air force academy"	0.0587353
"Fudan University"	0.0586819
Juilliard	0.0586182
KU	0.0585168
SMU	0.0582912
NAU	0.0577566
"George Mason University"	0.0574147
"University of Houston"	0.0573503
"Arizona State University"	0.0569964
"Memorial Sloan-Kettering Cancer Center"	0.055784
"Nankai University"	0.055638
"Jackson State"	0.0551268
Grambling	0.0551195
"Fallon McElligott"	0.0549219
"Colorado State University"	0.0547498
"Nike Tour"	0.0537776
UMass	0.0535935
"Benevolent Association"	0.0531162
"Turkish Republic of Northern Cyprus"	0.0524278
"eighth grade"	0.0521172
K-State	0.0516856
"school of medicine"	0.0515245
"Temple University"	0.0512669
WSU	0.051111
"National Autonomous University"	0.0506556
"Suffolk Downs"	0.0506241
artsy	0.0505496
"Center for Strategic"	0.0505351
"St. Mary"	0.0502272
"Georgia State"	0.049967
"city university"	0.0499234
UW	0.0498442
"Graduate School of Business"	0.0497716
poly	0.0496793
"World Petroleum Congress"	0.0495999
"University of Mississippi"	0.0492507
"Qinghua University"	0.049033
Fordham	0.0489474
"alma mater"	0.0487309
"Boston Symphony Orchestra"	0.0487196
Annapolis	0.0485814
"chain gang"	0.0480561
"Covent Garden"	0.047689
"Council on Foreign Relations"	0.0473523
"teachers college"	0.0468618
))
("Amien Rais" (desc 2245.66) (sims
"Sheldon Silver"	0.246306
"Yegor Stroyev"	0.238978
"Gennady Seleznyov"	0.22974
"Megawati Soekarnoputri"	0.227185
"Megawati Sukarnoputri"	0.221407
"Joseph Bruno"	0.2195
"Yossi Sarid"	0.204612
"Gennady Zyuganov"	0.196912
"Vuk Draskovic"	0.193817
Harmoko	0.193289
"Martin Lee"	0.176474
Rais	0.172706
"Mikulas Dzurinda"	0.167165
"Ibrahim Rugova"	0.16474
"Sam Rainsy"	0.160138
"Vaclav Klaus"	0.156286
"Aryeh Deri"	0.154358
"William Hague"	0.15352
"Ieng Sary"	0.149642
"David Duke"	0.148937
"Ahmed Qureia"	0.148744
"Marzuki Darusman"	0.147966
"Alija Izetbegovic"	0.146836
"Abu Ala"	0.146054
"Nur Misuari"	0.143748
"Wolfgang Schaeuble"	0.142844
"Alexander Shokhin"	0.139922
"Joerg Haider"	0.139395
"Abdurrahman Wahid"	0.137995
Wamba	0.13673
"Begum Khaleda Zia"	0.136059
"Zoran Djindjic"	0.135889
"Vojislav Kostunica"	0.135158
"Than Shwe"	0.134588
"Peter Vallone"	0.133836
"Xanana Gusmao"	0.128514
"Richard Gephardt"	0.128449
"Hashim Thaci"	0.128378
"Dennis Hastert"	0.127951
"Jonas Savimbi"	0.127121
"Ivan Kostov"	0.127113
"David Trimble"	0.126604
"Dick Gephardt"	0.126128
"Jim Nicholson"	0.125902
"Arthur Levitt"	0.12396
"Foday Sankoh"	0.121951
"George Mitchell"	0.12107
"Necmettin Erbakan"	0.119422
"Ali Mahdi Mohamed"	0.119012
"Julian Bond"	0.118864
"Sher Bahadur Deuba"	0.118834
"Bizima Karaha"	0.118771
"Roosevelt Johnson"	0.118635
"Viktor Orban"	0.118162
"Ayatollah Ali Khamenei"	0.117242
"Vojislav Seselj"	0.11722
"Archbishop Desmond Tutu"	0.115453
Chand	0.115077
"Tom Johnson"	0.114946
"George Speight"	0.113764
"Johnny Paul Koroma"	0.113237
"Ariel Sharon"	0.113222
R-Miss.	0.11296
"Mesut Yilmaz"	0.112836
"Ricardo Alarcon"	0.112587
"Wlodzimierz Cimoszewicz"	0.112183
"Moammar Gadhafi"	0.111565
"Vladimir Zhirinovsky"	0.111385
"Chea Sim"	0.110839
"Fatos Nano"	0.110695
"Azem Hajdari"	0.10957
"Chavalit Yongchaiyudh"	0.109308
"Milos Zeman"	0.108932
"Seamus Mallon"	0.108369
"Aung San Suu Kyi"	0.106999
"Grigory Yavlinsky"	0.106533
"Sumner Redstone"	0.106448
"Lokendra Bahadur Chand"	0.10626
"Li Ruihuan"	0.106189
"Dick Armey"	0.106138
"Gerry Adams"	0.106096
"Ian Paisley"	0.105676
"Oskar Lafontaine"	0.105673
"Alejandro Toledo"	0.104797
Misuari	0.104614
"Martin McGuinness"	0.104183
"Helen Clark"	0.103891
"Bob Livingston"	0.103336
D-Mo.	0.103149
"Bulent Ecevit"	0.102929
"Tom Daschle"	0.102186
"Robert Livingston"	0.101846
"Yasser Arafat"	0.10169
"Prime Minister Kamal El-Ganzouri"	0.101326
"Roy Romer"	0.101182
"Dick Pound"	0.100338
"Natan Sharansky"	0.100208
"John Boehner"	0.100028
"Bill Archer"	0.0993466
"Kim Il Sung"	0.0982845
"Khaleda Zia"	0.0981109
"Tony Coelho"	0.0974325
"John Hume"	0.0972454
"Mao Zedong"	0.0968338
"Atal Behari Vajpayee"	0.0967698
"Pervez Musharraf"	0.0967262
"Deve Gowda"	0.0966322
"Charles Dolan"	0.0964417
"Jack Welch"	0.0963506
"Adem Demaci"	0.0960081
Buthelezi	0.0955652
"Dan Burton"	0.0955321
"Hugh Shelton"	0.0954659
"Howard Baker"	0.0949961
"Tin Oo"	0.0949864
"Gulbuddin Hekmatyar"	0.0949751
"Trent Lott"	0.0948254
Izetbegovic	0.0942485
"Radovan Karadzic"	0.094065
"Indonesian Democratic Party"	0.0938581
"Silvio Berlusconi"	0.0928282
"John Prescott"	0.0928114
"Rashid Dostum"	0.0927918
"Kim Yong Nam"	0.0927451
Erbakan	0.0924068
R-La.	0.0917591
"Steve Case"	0.0916082
"Sonia Gandhi"	0.09143
"Dan Miller"	0.0914185
"Ayatollah Ruhollah Khomeini"	0.0900755
"Porter Goss"	0.0899835
R-Ill.	0.089828
"Robert Guei"	0.0894703
"Benazir Bhutto"	0.0890739
"Richie Phillips"	0.0889619
Dae-jung	0.0882393
"Kim Jong Il"	0.088211
"David Dreier"	0.0881882
"John Taylor"	0.0880621
"H.D Deve Gowda"	0.0880349
Mahdi	0.0880214
"Christopher Cox"	0.0875491
R-Texas	0.0870502
"John Shalikashvili"	0.0869738
"Don Nickles"	0.0869219
"Yukio Hatoyama"	0.0869099
"Abdullah Ocalan"	0.0868964
"J.C. Watts"	0.0867194
"Richard Blumenthal"	0.0862332
"Ho Chi Minh"	0.0861325
"Minister Shlomo Ben-Ami"	0.0858572
"Benjamin Gilman"	0.0855692
"Chuan Leekpai"	0.08532
"Wei Jianxing"	0.0849776
"Qiao Shi"	0.0845377
"Aslan Maskhadov"	0.0843131
"Ali Mahdi"	0.0841212
"Gianni Agnelli"	0.0839203
"Wang Dan"	0.0838288
Mkapa	0.0829638
"Khin Nyunt"	0.0826976
"Faisal Husseini"	0.0826093
"John Howard"	0.082308
"Wolfgang Schuessel"	0.0822065
"William Daley"	0.0820061
"Hussein Aidid"	0.0818747
"Charles Taylor"	0.0816778
"M. Douglas Ivester"	0.0811885
"John Anderson"	0.0811753
"Gerald Levin"	0.0811208
"Hans Blix"	0.0810298
"William Roth"	0.0808517
"Fehmi Agani"	0.080485
"Mikhail Gorbachev"	0.0802502
Bishara	0.0800383
"Martin Frost"	0.0799718
Megawati	0.0798646
R-Alaska	0.0794235
Seleznyov	0.0793597
"Kim Jong-pil"	0.0789762
"Li Peng"	0.0788184
"Henry Shelton"	0.0783792
Armey	0.0782003
"Moshood Abiola"	0.0780875
Ghalib	0.0780358
"Carl Bildt"	0.0779477
"Billy Payne"	0.0778424
"Boris Nemtsov"	0.0776656
"Binyamin Netanyahu"	0.0775928
"Jerry Reinsdorf"	0.0775857
"Tonya Harding"	0.0774418
"Huang Ju"	0.0773761
R-Ga.	0.0772847
"Chief Executive Tung Chee-hwa"	0.077146
"Tim Fischer"	0.0765552
R-Ind.	0.0765442
Koirala	0.076364
Khamenei	0.0759925
"Jenny Shipley"	0.0759613
"Sam Nunn"	0.0757739
))
(Amin (desc 2368.37) (sims
Ruehe	0.129707
Mahdi	0.11709
Singson	0.114472
Rais	0.10943
Krasniqi	0.104681
Baz	0.104299
Diouf	0.0998709
"Idi Amin"	0.0985852
Khalil	0.0971586
Aventajado	0.0966871
Mercado	0.0945285
Eizenstat	0.0932278
Mikhailov	0.0893148
Reimer	0.0888392
Rabbani	0.0888178
Bizimungu	0.0885862
Dodik	0.0875293
Kasoulides	0.0874024
Borodin	0.0867698
Nemtsov	0.0857265
Majali	0.0851143
Koskinen	0.0850424
Hage	0.084741
Duvalier	0.0840856
Hamid	0.0840781
Ibarra	0.0838845
Finkel	0.0838015
Verney	0.0836287
Ayatollah	0.0822884
Masood	0.0820744
Yastrzhembsky	0.0820597
Saleh	0.0820188
Siazon	0.0820072
Boueiz	0.081641
Advani	0.0816158
Isner	0.0815227
Banda	0.0815213
DeFrantz	0.0811066
Aleman	0.0803687
Al-Amin	0.0801197
Flanagan	0.0799473
Ghalib	0.0796525
Garcetti	0.079231
Nazarbayev	0.0789104
Sheehan	0.0788751
Rahman	0.0781613
Okada	0.0778865
Maslyukov	0.0773103
Harmoko	0.076966
Hiddink	0.0767782
Velayati	0.0764621
Hevesi	0.0764402
Ganzouri	0.0762326
Ibrahim	0.0760946
Barshefsky	0.0759225
Kabariti	0.0758032
Scharping	0.0755449
Alarcon	0.0753866
Kirkpatrick	0.0752795
Bustamante	0.074753
Schmid	0.0743888
Zhirinovsky	0.0739766
Klima	0.0734846
Shara	0.07337
Djukanovic	0.0731356
Satcher	0.073037
Fernandes	0.0726571
Yazdi	0.0726352
Demaci	0.0725673
Seleznyov	0.0721748
Jayakumar	0.0721615
Musa	0.0720272
Mobutu	0.07186
Neulander	0.0718205
Kesri	0.0717754
Tella	0.0715828
Berlusconi	0.071414
Banzer	0.0713379
Ciampi	0.0712498
Harkin	0.0712366
Gantamirov	0.0711483
Bratton	0.0707738
Ruthardt	0.0706021
Insulza	0.0704001
Kromah	0.0700054
Bashir	0.0698559
Ikimi	0.069793
Koroma	0.0696995
Khalifa	0.0693901
Sato	0.0691964
Shayler	0.0691412
Weldon	0.0691187
Abdel-Meguid	0.0690042
Menem	0.0689798
shah	0.0689561
Kerrigan	0.0689039
Verniero	0.068376
Guterres	0.0683754
Naumann	0.0683288
Ahmad	0.068304
Izetbegovic	0.0680687
Kono	0.0679487
Museveni	0.0678211
Daley	0.0677721
Bulatovic	0.0675898
Dudayev	0.0675061
Azad	0.0671395
Chavalit	0.067103
"Abidine Ben Ali"	0.0669343
Eran	0.0668831
Thani	0.0668725
Fieger	0.0668475
Klestil	0.0665938
Bakaly	0.0664681
Hecht	0.0662844
Harman	0.0662649
Zucker	0.066137
Slepian	0.0661254
Waigel	0.0660764
Lukashenko	0.0658174
Lissouba	0.0658154
Farrell	0.065807
Surin	0.0656982
Hensley	0.0656907
Soares	0.0656763
Fayed	0.0656374
Nasrallah	0.0655763
Alderson	0.0655393
Manley	0.0654179
Musharraf	0.0654082
Hodler	0.0650683
Sharpton	0.0650018
Sutiyoso	0.0648612
frist	0.0647987
Giacchetto	0.0647652
Hekmatyar	0.0647561
Condit	0.0646692
Turabi	0.0646692
Beazley	0.0646534
Zuma	0.0645813
Tran	0.0645714
Patel	0.0644662
Koirala	0.0644142
Lau	0.0643349
Schrempp	0.0643313
Schiffer	0.0642951
Bruton	0.0642062
Wenger	0.0641894
Hariri	0.0640868
"Orlando Mercado"	0.0639894
Muhammad	0.0639855
Conroy	0.0639438
Shevardnadze	0.0639307
Vieira	0.0638763
Hakim	0.0638555
Nasrin	0.0638033
Lehane	0.0637876
Wan	0.0637638
Isakson	0.0637501
"de Charette"	0.0635178
Einhorn	0.0635143
Masire	0.0634177
Gavin	0.0633606
Tsang	0.0633479
Buzek	0.0632818
"administration official"	0.0632296
Dini	0.0631013
Aznar	0.0630333
Giordano	0.0627734
Guei	0.062763
Idris	0.0627425
Sumaye	0.0626885
Mendez	0.0626761
Mahuad	0.0623059
Gravano	0.0622438
McCurry	0.0621952
Alatas	0.0621244
Tudjman	0.0620066
Ashrawi	0.0619833
Gilligan	0.0619277
Feldman	0.0619042
Sharaa	0.0618875
Arkan	0.0618253
Kostov	0.0617592
Eyadema	0.0615806
McCaffrey	0.0615572
Nahyan	0.0613321
Kwasniewski	0.0612995
Marcos	0.0612657
Cheung	0.0612302
Villar	0.0610918
Prueher	0.0610482
Maldini	0.0609328
Hoddle	0.0609179
Aidid	0.060916
Mokhehle	0.0609092
Cornyn	0.0608993
Villanueva	0.0608746
Chaudhry	0.0608043
Lileikis	0.0604164
))
("amino acid" (desc 6975.46) (sims
antioxidant	0.150902
protein	0.146211
enzyme	0.133897
nutrient	0.127568
vitamin	0.123738
mineral	0.120965
hormone	0.114211
"organic compound"	0.104492
glucose	0.10203
"vitamin E"	0.100588
Calcium	0.0984047
antibody	0.0979348
molecule	0.097652
carotene	0.0971317
carbohydrate	0.0970653
"folic acid"	0.0961756
"fatty acid"	0.0955873
phosphorus	0.094635
antigen	0.0925125
supplement	0.0924986
acid	0.0905435
peptide	0.0902964
fiber	0.0902825
"vitamin D"	0.0897536
insulin	0.0884942
"essential oil"	0.086856
lactose	0.0867427
melatonin	0.0866534
potassium	0.0865015
antacid	0.0846351
chemical	0.0841114
creatine	0.0836847
"free radical"	0.0835422
androstenedione	0.0799533
contaminant	0.0798361
"chemical compound"	0.0796863
"growth hormone"	0.0790886
"vitamin C"	0.0775813
starch	0.0772858
"B vitamin"	0.0757243
calory	0.074573
estrogen	0.0740596
substance	0.0738203
nitrogen	0.0719623
POTASH	0.0704965
lycopene	0.069861
Gene	0.0692892
Zinc	0.0692172
"vitamin A"	0.0689212
DNA	0.0682839
pigment	0.068038
"blood cell"	0.0678365
selenium	0.0667757
iodine	0.0667299
steroid	0.0661548
pesticide	0.0660181
herb	0.0659667
collagen	0.0649346
fluoride	0.0648825
neurotransmitter	0.0646406
capsaicin	0.0645332
ammonia	0.063808
benzene	0.0637552
magnesium	0.0636484
"carbon monoxide"	0.0635541
cholesterol	0.0634309
microbe	0.0630436
polymer	0.0630246
stimulant	0.0627293
sodium	0.0622056
receptor	0.0618997
folate	0.0618189
andro	0.0616273
testosterone	0.0616219
impurity	0.0607378
ephedra	0.0605187
chlorine	0.0605004
cyanide	0.0603998
dopamine	0.0603321
hemoglobin	0.0595911
toxin	0.059391
neuron	0.0591283
sugar	0.0590916
carcinogen	0.0590111
soy	0.0587818
iron	0.0587233
organism	0.0578828
sulfur	0.0578675
caffeine	0.0576018
electrolyte	0.0575747
"carbon dioxide"	0.0575414
Atom	0.0572249
cellulose	0.056991
antibiotic	0.0569444
phosphate	0.0565499
fungus	0.0563651
powder	0.0563231
leptin	0.0562954
"fish oil"	0.0562615
gemstone	0.0561934
"break of serve"	0.0560868
"human growth hormone"	0.0560256
nitrate	0.0558345
microorganism	0.0554848
nicotine	0.0553966
mutation	0.0551795
carbon	0.0551471
"animal fat"	0.0549156
adjective	0.05478
"ammonium nitrate"	0.0545279
ozone	0.0544456
"nitrogen oxide"	0.0540738
"solar radiation"	0.0539269
"nerve cell"	0.0539215
salt	0.0534279
algae	0.0532368
poison	0.052776
acupuncture	0.0527392
bacteria	0.0527194
arsenic	0.0525896
anti-inflammatory	0.0521808
inhibitor	0.052153
EPO	0.052136
ore	0.0519932
sedative	0.0518879
"explosive device"	0.0518181
chromosome	0.0515266
cortisone	0.0514789
pollutant	0.0513933
uranium	0.0511368
ingredient	0.0509487
moisture	0.0508737
ephedrine	0.0507454
chromium	0.0507368
dioxin	0.0506736
hydrocarbon	0.0505897
Endostatin	0.050337
"computer code"	0.0502288
oxygen	0.0501913
quark	0.050096
talc	0.0499628
asbestos	0.0498234
additive	0.0494674
bacterium	0.0485775
yolk	0.0482025
painkiller	0.0480698
"food additive"	0.0478308
cadmium	0.047757
isotope	0.0475388
pathogen	0.0474387
atherosclerosis	0.0472403
"St. John's wort"	0.0470158
"wheat flour"	0.0467183
fertilizer	0.04658
"animal product"	0.0464128
MDMA	0.0462182
residue	0.046038
allergen	0.0459797
Bae	0.0459713
aspirin	0.0458643
alcohol	0.0457263
"geographical area"	0.0456221
plutonium	0.0455652
"chemical reaction"	0.0454125
platelet	0.0452427
clotting	0.0452385
"sex hormone"	0.0451307
"cancer cell"	0.0451212
chloride	0.0449775
urea	0.0448408
"fruit fly"	0.0447907
pill	0.0447497
sweetener	0.0447149
CFCs	0.0445647
pharmaceutical	0.0444392
insecticide	0.0443742
"American plane"	0.0440961
parasite	0.0437753
seaweed	0.0437602
"raw material"	0.0434212
tremolite	0.0434099
tannin	0.0432088
fungicide	0.0431644
PCBs	0.0431421
RNA	0.0429904
"citric acid"	0.0429793
"ultraviolet radiation"	0.0429592
PSA	0.0429019
aftershock	0.0428927
"freight car"	0.0428256
cryptosporidium	0.0424004
fibre	0.0424002
soya	0.0422843
munition	0.042243
dioxins	0.0421913
malignancy	0.0421883
mitochondria	0.0421751
PCB	0.0421365
preservative	0.0419715
"blood sugar"	0.0419654
))
(Amir (desc 3605.09) (sims
emir	0.211317
"Yigal Amir"	0.148574
al-Khalifa	0.119428
Jayakumar	0.115966
"crown prince"	0.114513
Kasoulides	0.112704
Velayati	0.104727
Swango	0.104039
Kabariti	0.103655
Al-Sabah	0.0995476
Al-Thani	0.0981821
Luong	0.0958252
"de Charette"	0.0950202
Jelisic	0.0947839
Lipponen	0.09437
Martorano	0.0940048
Majali	0.0918146
Meguid	0.091639
"Russell Peeler"	0.0889629
Granic	0.0886964
Alatas	0.0885071
Khaddam	0.0882863
Diouf	0.0873485
Ruehe	0.0860252
Phieu	0.0855317
Rodionov	0.0847149
Abdel-Meguid	0.0836693
Ciampi	0.0832322
Markhasev	0.0830583
Nzo	0.0826515
Chavalit	0.0810331
Carneal	0.0804428
Kaczynski	0.0803173
Kostov	0.0800147
"Pascoal Mocumbi"	0.0799624
Ikeda	0.0796678
Guterres	0.0788549
Deuba	0.0787454
Azad	0.0786335
Ingraham	0.0786275
Kharrazi	0.078565
Singson	0.0785486
Fortier	0.0785104
Stoyanov	0.0781137
Agca	0.0778997
"Saudi King Fahd"	0.0777704
"Benazir Bhutto"	0.0776106
Qiao	0.0775741
Hamid	0.0774668
"Jordanian King Abdullah Bin Hussein"	0.0771884
Kiareldeen	0.077172
"Atal Behari Vajpayee"	0.0767493
Holl	0.0766275
Juppe	0.0764594
Pustovoitenko	0.0763936
Barrionuevo	0.0759824
Kinkel	0.0759736
Dini	0.0758755
Eubanks	0.0756669
Papon	0.0754838
Rifkind	0.075296
Gujral	0.0750668
Wolfensohn	0.0748628
Cem	0.0742901
"Secretary General Esmat Abdul-Meguid"	0.0738327
Napolitano	0.0737526
Gritz	0.0735638
Reimer	0.0735633
Moratinos	0.0735358
Saleh	0.0733548
Pangalos	0.0732795
Dehaene	0.0731383
Gowda	0.0730587
Skakel	0.0724532
Advani	0.072295
Komura	0.0722185
al-Sahhaf	0.0721738
Severino	0.0719273
al-Sahaf	0.0717024
Kyprianou	0.0713226
Bruton	0.0712024
Klima	0.0711292
Whitacre	0.0707853
Jovanovic	0.0704689
Constantinescu	0.0702388
Rawabdeh	0.0701325
Siazon	0.0700332
al-Bashir	0.0698683
"Boutros Boutros Ghali"	0.0695337
Erbakan	0.0694626
Einhorn	0.0689119
Fagan	0.0688785
Vollebaek	0.0688451
Gutman	0.0686188
Husseini	0.0686177
Khalil	0.0685127
Gaddafi	0.0684717
"Saudi King Fahd Ibn Abdul-Aziz"	0.0683455
Karimov	0.0681252
Chissano	0.0681227
"Nawaz Sharif"	0.0679347
Shamshad	0.067924
"Bashkim Fino"	0.067866
Xanana	0.0675885
Hasina	0.0675418
Gravano	0.0673767
Blackthorne	0.0673411
Santer	0.0673066
Fu	0.0672903
Khai	0.0672718
Klestil	0.0672641
Capano	0.0672548
Sergeyev	0.0671998
"King Fahd"	0.0670887
Bishara	0.0670309
Leghari	0.066662
Tran	0.0666613
Banzer	0.0666319
Rong	0.0666212
McVeigh	0.0664247
Hofer	0.0661945
Schiffer	0.0661178
Nujoma	0.0659797
Sebaggala	0.0659365
Pickering	0.0659282
Yemeni	0.0658335
"Maturino Resendiz"	0.0658185
Akayesu	0.0658127
Ahmed	0.0657682
Zeroual	0.0656977
Scalfaro	0.0656569
Pryor	0.0654231
Muluzi	0.0654184
Mitnick	0.0653758
"King Hussein"	0.0653037
Myhrvold	0.0651845
Aventajado	0.0651561
Mullins	0.0650959
"Prime Minister Banharn Silpa-Archa"	0.0650366
Benazir	0.0649998
Jenoff	0.0649853
"Valery Pustovoitenko"	0.0649576
Kimes	0.0648677
Rothenberg	0.0648368
Mohamed	0.0647828
Nicolas	0.0646028
Musa	0.0645989
Ershad	0.0644327
Murayama	0.0642856
"Chief Executive Tung Chee-hwa"	0.0642793
Mkapa	0.0641733
Nasrallah	0.0641382
Weizman	0.0640966
Ivanov	0.0640076
Gurirab	0.0639974
Shulman	0.0639831
Bedie	0.0639478
"Esmat Abdel Meguid"	0.0638608
GSS	0.0637536
Demaci	0.0637496
Vasquez	0.0637308
Kok	0.0637169
"John Bruton"	0.0635273
Modise	0.0634939
Sharif	0.0634787
"William Cohen"	0.0633552
el-Ganzouri	0.0631572
"Than Shwe"	0.062874
Arens	0.0628323
Nano	0.0625367
"Secretary General Esmat Abdel-Meguid"	0.0624812
Eisenman	0.0624609
Nahyan	0.0624365
"Sher Bahadur Deuba"	0.0622492
Chung	0.0622478
Brundtland	0.0622469
al-Hariri	0.062188
Lacresha	0.0621683
LeBlanc	0.0621027
Coia	0.0620607
Simitis	0.0620541
Barksdale	0.0619349
Zou	0.0618798
"Timothy McVeigh"	0.0618183
Kodikian	0.0617975
Faulder	0.061767
Fassett	0.0617507
Neulander	0.0616158
Ganzouri	0.0615355
Christopher	0.0615156
Laudor	0.0614266
Kwasniewski	0.0614179
Zuma	0.0613974
Iglesias	0.0613697
Priebke	0.0613629
Bolger	0.0611992
Kuchma	0.0611299
Icahn	0.0610217
Imperatori	0.0609995
Ben-Ami	0.0608984
))
(amis (desc 1338.05) (sims
Kincaid	0.110647
"Frank McCourt"	0.0919831
McMurtry	0.0912154
Vonnegut	0.0889458
Orwell	0.0882625
artiste	0.0871743
"Margaret Mitchell"	0.0847813
Plante	0.0809455
vin	0.0792695
Mortimer	0.077909
"George Orwell"	0.0776418
McEwan	0.0776045
monde	0.0769252
Rowling	0.0765693
Updike	0.0753043
"Edmund Morris"	0.0752533
Theroux	0.0751934
Eggers	0.0743504
Puzo	0.0737903
Nabokov	0.0707765
Grisham	0.0706709
"E.L Doctorow"	0.0705911
"Raymond Chandler"	0.0702405
Alexie	0.0701652
"Victor Hugo"	0.069963
Burroughs	0.0687918
"Adolf Eichmann"	0.0667422
Welty	0.0665978
Dubus	0.0656642
Susann	0.0655896
Eaux	0.0651928
"John Grisham"	0.0642307
Kerouac	0.0631434
Connell	0.0622336
Stephenson	0.061977
"J.D Salinger"	0.0601932
Kimbell	0.0599922
"Susan Sontag"	0.0598648
Mizrahi	0.0595732
HELLER	0.0592168
lattes	0.0584438
"Larry McMurtry"	0.0584212
"Philip Roth"	0.0583051
"John Irving"	0.0573993
Chappell	0.0567759
Farnsworth	0.0566286
Kafka	0.0558262
"Ernest Hemingway"	0.0558073
Finney	0.0556709
Cornwell	0.0554689
"Modern Library"	0.0552579
WHA	0.0547698
Vidal	0.0546823
"Tom Wolfe"	0.0543877
Solzhenitsyn	0.0542116
"Champs Elysees"	0.0538872
"Vladimir Nabokov"	0.0536045
Austen	0.0535815
Leibovitz	0.0533926
Eichmann	0.0532283
Carre	0.0519151
Naipaul	0.0518044
Pushkin	0.0515052
"Graham Greene"	0.0513168
Rosenberg	0.0510717
Godwin	0.0510597
Harrigan	0.0509727
Jeux	0.0508769
Cheever	0.050193
Northup	0.0495084
Gachet	0.049507
"Elmore Leonard"	0.0493973
Saramago	0.0480562
"J.K Rowling"	0.0480005
Vinci	0.0479926
leeson	0.0479923
Stephanopoulos	0.047932
"beaux arts"	0.047898
des	0.0472672
"Stephen King"	0.0467465
Purdy	0.046627
Edson	0.0465863
"Toni Morrison"	0.0464846
"John Updike"	0.0461515
Hammett	0.046123
Bois	0.0461087
Walser	0.0460105
"Mia Farrow"	0.0458749
Raphael	0.0455362
Mira	0.0455017
Schiller	0.045477
Wolfe	0.045442
MacKay	0.045073
Elton	0.045013
Menchu	0.0447691
Kaczynski	0.0447427
"Jane Austen"	0.0442376
Leventhal	0.0441735
Wilder	0.0440813
Rushdie	0.0439778
"Lewis Carroll"	0.0437454
"Nora Ephron"	0.0437442
brill	0.0435843
Bingham	0.0434202
"Karl Lagerfeld"	0.0431735
Halberstam	0.0430878
Hatfield	0.04301
Quokka	0.0426649
Melville	0.0424355
Camus	0.0423902
Hawley	0.0423819
Washingtonian	0.042293
Hirsch	0.041932
Izvestia	0.0417417
Canty	0.0415777
Allard	0.0414504
Morrison	0.0412086
Steinbeck	0.0412066
Schulz	0.0410617
Okamoto	0.0409656
Heaney	0.0409559
McCourt	0.040543
Truffaut	0.0403279
Salinger	0.0400552
))
(Amish (desc 5143.85) (sims
Maasai	0.133262
Korean-American	0.129884
"Orthodox Jewish"	0.124282
Navajo	0.12208
Mennonite	0.119534
Mexican-American	0.103725
Hasidic	0.102236
"North African"	0.102145
Hmong	0.101884
Hausa	0.100337
Okinawan	0.0999068
"Kosovar Albanian"	0.0993668
non-Indian	0.0990856
"mentally retarded"	0.0985557
"American Jewish"	0.0984841
Japanese-American	0.0978388
Asian-American	0.0969998
Tibetan	0.0953906
Chinese-American	0.0922685
slain	0.0918225
Anglo	0.0908737
"Israeli Arab"	0.0908376
Inuit	0.0903051
"Irish Catholic"	0.0884699
Ijaw	0.0858932
low-income	0.0849528
ranching	0.0847326
"African American"	0.0842261
non-Hispanic	0.083296
Eskimo	0.081818
non-Muslim	0.0804274
"working class"	0.0797188
"Two hundred"	0.0786491
Sinhala	0.0778029
Uygur	0.0755657
Gypsy	0.074464
Mayan	0.0742335
"native American"	0.0736001
Makah	0.072886
Hopi	0.0728514
Forty-four	0.0718518
"Another @@ million"	0.0717699
streetwise	0.0714309
Coptic	0.0708416
Italian-American	0.0699205
Armenian	0.068824
"More than three million"	0.0688076
"about two"	0.0682276
vanishing	0.0681004
"About three million"	0.0677812
"nearly @@@,@@@"	0.0676504
"Four million"	0.0675514
Quaker	0.0665808
Hawaiian	0.0664608
Arab-American	0.0663646
"American Indian"	0.0662998
"more than one million"	0.0660481
hippie	0.0660105
"nearly @@ million"	0.0659457
"about four"	0.0656152
vegetarian	0.0655174
"almost @@,@@@"	0.0654157
"over @,@@@"	0.0646385
"about @ million"	0.0644281
Younger	0.0643319
nonwhite	0.0637214
Bedouin	0.0635705
"middle class"	0.0635385
"five million"	0.0633046
"Over one million"	0.0631943
"about three"	0.0630502
"another @@@,@@@"	0.0628218
"About one million"	0.0627808
"three million"	0.0627613
Sephardic	0.0623653
Cajun	0.0621226
"more than four million"	0.0619446
Baptists	0.0617087
"Middle Eastern"	0.0616336
"inner city"	0.0612537
"two million"	0.0612495
"Greek Cypriot"	0.0609377
Copt	0.060911
Acadian	0.0607259
"Hispanic American"	0.0604244
Appalachian	0.0604138
peasant	0.0600516
Khmer	0.0597434
Kosovar	0.0595671
"roughly @,@@@"	0.0589222
sobbing	0.0588682
Sioux	0.0585665
Miao	0.058452
"over @.@@ million"	0.0581849
"up to @,@@@"	0.0581635
"nearly @@@"	0.0578291
Irish-American	0.0575413
"more than @ million"	0.0574437
"six million"	0.0573494
Aborigine	0.0573251
smallholder	0.057198
"nearly @,@@@"	0.0571496
Korean	0.0570301
Provencal	0.0569063
"two dozen"	0.05655
"More than @.@ million"	0.0565079
"French Canadian"	0.0563052
"Eastern European"	0.0562056
"Puerto Rican"	0.0561451
"Nearly @.@ million"	0.0559809
Quakers	0.0558682
Stroganoff	0.0555243
Bengali	0.0554262
"Bordeaux wine"	0.0552403
"nine million"	0.0550908
"about five"	0.0549309
"almost @,@@@"	0.0548823
non-Jewish	0.0548342
"more than @@@,@@@"	0.0546795
Navajos	0.0546453
highschool	0.0545781
quadriplegic	0.0544048
"blue blood"	0.0540635
"nearly @@,@@@"	0.0540128
"about seven"	0.0539965
"church member"	0.0536013
Eames	0.0535195
Maori	0.0531736
"Southern Baptist"	0.0531645
"more than @@,@@@"	0.0531386
"over @@,@@@"	0.0530717
shaker	0.0530432
"nearly @ million"	0.0529353
"Over two million"	0.0524028
"other four"	0.0523452
Goth	0.0522345
"upper class"	0.0521341
celebs	0.0520867
"Jehovah's Witness"	0.0518525
"over @ million"	0.0517468
Fifteen	0.0515703
Maya	0.0515379
major-leaguers	0.0515245
"over @@ million"	0.0515217
"more than @,@@@"	0.0512993
ultra-Orthodox	0.0511919
"mountain gorilla"	0.0510743
"over @@@,@@@"	0.0510142
Lew	0.0509855
"About @,@@@"	0.0509391
"six to @@"	0.0505327
Druse	0.0504966
Aggie	0.050276
Kashmiri	0.0501319
preteen	0.0499488
"More than two million"	0.0498017
"Monmouth County"	0.0495876
newlywed	0.0494417
"close to @,@@@"	0.0492908
"more than @.@@ million"	0.049107
"almost @@ million"	0.0489119
"About two million"	0.0489
"South Asian"	0.0487934
"Bosnian Muslim"	0.0486748
Croat	0.0486176
"almost @@@,@@@"	0.0484908
"more than seven"	0.0483176
Thirty	0.0483153
"Central American"	0.0482536
Hui	0.0481927
"up to @@,@@@"	0.0480889
Rockdale	0.0480354
"over @@@ million"	0.0478451
"up to @@@"	0.0477954
Tutsi	0.0477412
"up to @@@,@@@"	0.047733
optometrist	0.0476665
Sikh	0.0475857
"Asian American"	0.0475288
pressman	0.0473915
"Old World"	0.0473244
curveballs	0.0470539
Cuban-American	0.0470523
nerdy	0.047017
"about @@,@@@"	0.0468338
"small town"	0.0466338
kibbutz	0.0466148
Ife	0.0464961
"ten thousand"	0.0464664
Framingham	0.0464443
O'Connor's	0.0464229
"Another @@@"	0.0463427
"Kosovo Albanian"	0.0462941
Hess	0.0461138
"One Million"	0.0461039
"six billion"	0.0460366
"other @@@"	0.0455333
sixth-graders	0.0455294
"Stone Age"	0.0454955
hemophiliac	0.0454006
))
(Amistad (desc 4786.94) (sims
Schindler	0.108792
U-@@@	0.0943334
E.T	0.0877842
"Saving Private Ryan"	0.0848092
"slave ship"	0.0837936
Antz	0.0792417
"Thin Red Line"	0.0782786
"sailing ship"	0.0757095
schooner	0.0739098
"Deep Impact"	0.07232
Titanic	0.0722581
"Opium War"	0.0700925
"Lethal Weapon @"	0.0661363
"Boogie Nights"	0.0657954
"Truman Show"	0.0649975
"Eyes Wide Shut"	0.0646661
"Titan A.E."	0.0641479
"Jurassic Park"	0.0640917
"Natural Born Killers"	0.0633297
"Space Cowboys"	0.0626468
Bulworth	0.062378
"Stuart Little"	0.0617227
"Smoke Signals"	0.0580673
"American Pie"	0.0574611
"Erin Brockovich"	0.0569554
riverboats	0.0567255
ROUNDERS	0.0562964
"Cruel Intentions"	0.0557656
Pleasantville	0.0555033
"Fight Club"	0.0551909
"Life Is Beautiful"	0.0547393
"Sleepy Hollow"	0.0533825
"Runaway Bride"	0.0533296
"Princess Mononoke"	0.0530389
catamaran	0.0529162
"Get Real"	0.0525716
"Patch Adams"	0.0524454
"Being John Malkovich"	0.0524087
"Iron Giant"	0.0521264
Hunley	0.0517778
"L.A Confidential"	0.0517708
Braveheart	0.0513973
"supply ship"	0.0513244
"Mighty Joe Young"	0.0508051
"sailing vessel"	0.050755
"Animal House"	0.0506245
"Civil Action"	0.0502294
"Blair Witch Project"	0.0500745
Madeline	0.0494284
"Pulp Fiction"	0.0487599
Tootsie	0.0485757
"Good Will Hunting"	0.0485714
Trainspotting	0.0485379
"Forrest Gump"	0.0484485
"Straight Story"	0.0481323
"Cradle Will Rock"	0.0480387
Zorro	0.0478461
minesweeper	0.0474972
psycho	0.0472105
"merchant ship"	0.0471542
EdTV	0.0470292
"oil tanker"	0.0467481
Selena	0.0465945
"Toy Story"	0.0463564
"Central Station"	0.0461752
"pitch black"	0.0461322
"high fidelity"	0.0460327
Gladiator	0.0459878
Footloose	0.045836
Paulie	0.0453457
overlong	0.0452931
"sliding door"	0.0449227
biplane	0.0448081
jaws	0.0444472
"luxury liner"	0.0444119
"Blair Witch"	0.0442621
"Little Voice"	0.0442264
"American Beauty"	0.0441269
"passenger ship"	0.0438662
"Erie Canal"	0.0436793
"Meet Joe Black"	0.0435016
"chicken run"	0.04333
"cargo vessel"	0.0430824
"Galaxy Quest"	0.0424673
Matrix	0.0423652
Magnolia	0.0423277
Ark	0.0422228
frigate	0.041896
Armageddon	0.0418262
"Phantom Menace"	0.0415766
Rushmore	0.0403798
"Thomas Crown Affair"	0.0401697
"Top Gun"	0.0400795
))
(Amity (desc 2894.25) (sims
neighborliness	0.152965
cordiality	0.134358
brotherhood	0.130453
good-neighborliness	0.129939
conciliation	0.123097
coexistence	0.110952
tranquility	0.108762
"mutual understanding"	0.108582
comity	0.105381
solidarity	0.103342
good-neighborly	0.101894
unity	0.0985463
goodwill	0.0983449
cohesion	0.0978101
reconciliation	0.0948493
harmony	0.0917272
confidence-building	0.0912666
"African Union"	0.088425
interdependence	0.0854495
reciprocity	0.0851081
complementarity	0.0836103
tranquillity	0.0828221
calmness	0.0819804
equality	0.0816356
bipartisanship	0.0793388
"personal relation"	0.0767333
tolerance	0.0755537
"good will"	0.0745926
civility	0.0742237
dialog	0.073906
interoperability	0.0727855
detente	0.0722649
self-reliance	0.071345
"business relation"	0.0704388
togetherness	0.0687478
collegiality	0.0680972
politeness	0.0636934
Nanking	0.0635997
unanimity	0.0629768
compassion	0.0626951
noninterference	0.0621315
"political relation"	0.0620801
"co- operation"	0.0597437
contentment	0.0594379
comprehension	0.0592135
"collective security"	0.0591229
Openness	0.0591159
democratization	0.0585816
nonalignment	0.0581638
mistrust	0.0577975
commonality	0.0575512
friendliness	0.0572819
cross-fertilization	0.0567386
cohesiveness	0.0566194
rapprochement	0.0561704
moderation	0.0558019
patriotism	0.0552844
attainment	0.0547369
normality	0.0547238
teamwork	0.054204
nation-building	0.0541267
"free trade"	0.0540455
continuity	0.0539581
lucidity	0.053727
self-discipline	0.0531694
equilibrium	0.0529632
well-being	0.051832
specialization	0.0517854
disunity	0.0516985
pacification	0.0514575
informality	0.0513613
power-sharing	0.0504187
universality	0.0503867
kindness	0.0503175
homeownership	0.0491475
oneness	0.0486493
statesmanship	0.0484257
Utrecht	0.0484087
unification	0.0481336
normalcy	0.0480185
nonviolence	0.0479329
believability	0.0476782
"conflict resolution"	0.0475611
coherence	0.047329
self-determination	0.0470523
linkage	0.0470484
humility	0.0470274
"trade relation"	0.0470196
uniformity	0.0465602
"Free Trade Agreement"	0.0461255
nonproliferation	0.0459474
"customs union"	0.0454916
neutrality	0.0454316
vigilance	0.0452466
acceptability	0.0452457
dissonance	0.0451693
legitimacy	0.0451295
smoothness	0.044977
admiration	0.0446547
"sense of responsibility"	0.0444152
frankness	0.0443495
Concord	0.0442495
horse-trading	0.0437752
humanism	0.0437405
companionship	0.0436251
professionalism	0.0434665
esteem	0.0434461
empowerment	0.0433668
facilitation	0.0433211
serotonin	0.043097
federalism	0.0430475
camaraderie	0.0430149
interrelationship	0.0429236
avoidance	0.0428062
closeness	0.0424698
compatibility	0.0424385
joint-ventures	0.0423361
in-fighting	0.0423288
fulfilment	0.0422629
serenity	0.0421391
appeasement	0.0421146
FTA	0.0420721
Non-Proliferation	0.0420198
sportsmanship	0.0418806
decentralization	0.0417972
nimbleness	0.0417002
kinship	0.0416862
"military capability"	0.0416816
"investor confidence"	0.0416598
stabilization	0.0416265
"social contract"	0.0413325
"memorandum of understanding"	0.041288
resilience	0.041128
enrichment	0.0411029
proficiency	0.0409249
liveliness	0.0407472
"Great Divide"	0.0407107
purity	0.0406094
enlightenment	0.0405932
rancor	0.04054
enmity	0.040509
fluency	0.040268
))
(AMM (desc 1737.59) (sims
"ASEAN Ministerial Meeting"	0.412955
"Ministerial Meeting"	0.289624
"Annual Meeting"	0.248261
"Consultative Group"	0.243117
"World Health Assembly"	0.228027
"Infantry Battalion"	0.209151
"ASEAN Regional Forum"	0.201236
"Plenary Session"	0.188625
ARF	0.186279
"World Conference"	0.169894
"Ministerial Conference"	0.164623
"International Symposium"	0.162117
"Fortune Global Forum"	0.158761
UPC	0.157939
"World Congress"	0.151148
IGC	0.150031
ASEM	0.146381
"World Petroleum Congress"	0.145991
"International Conference"	0.144703
"Infantry Division"	0.143694
"International AIDS Conference"	0.138812
"Special Session"	0.138342
"spelling bee"	0.13543
"South Pacific Forum"	0.132142
"Asia-Pacific Economic Cooperation"	0.132082
prvs	0.129219
percentile	0.128235
ld	0.124062
"World AIDS Conference"	0.123986
"International Congress"	0.123217
Ld-Writethru	0.123005
"National Party Congress"	0.1226
"wedding anniversary"	0.120009
plenum	0.118861
"Arab Parliamentary Union"	0.118668
"Emmy Awards"	0.11529
"National Games"	0.114081
"Grammy Awards"	0.113541
"General Committee"	0.109532
"Asia-Europe Meeting"	0.109314
"World Food Summit"	0.108935
"Cannes Film Festival"	0.107675
"SEA Games"	0.106859
"CPC National Congress"	0.105039
Asiad	0.101198
"Commonwealth Ministerial Action Group"	0.101046
"South Summit"	0.100848
"Circuit Court"	0.100525
"Millrose Games"	0.100307
"Jerusalem Committee"	0.100099
"National Conference"	0.0990798
Roundtable	0.0986688
"general assembly"	0.0955943
"Asia Pacific Economic Cooperation"	0.0952997
telethon	0.0952714
"summit meeting"	0.0947416
APEC	0.0935313
"major league season"	0.0911293
confab	0.0907705
"U.N. Conference"	0.0893738
"Summer Olympic Games"	0.0882678
"Airborne Division"	0.0876265
"Group of @@"	0.0875101
"United Nations Conference"	0.087271
JMC	0.0864228
"U.N. Millennium Summit"	0.0863515
"World Athletics Championships"	0.0862691
Asia-Europe	0.0853684
JLG	0.08513
"Group of Rio"	0.0840064
psalm	0.0839365
"committee meeting"	0.0837116
"Millennium Summit"	0.083704
"World AIDS Day"	0.0832423
double-double	0.083065
"congressional district"	0.0830467
"World Women"	0.082742
"National Congress"	0.0824149
"National Day"	0.0823957
"board meeting"	0.0814417
"garden party"	0.0814365
"Joint Military Commission"	0.0813751
"birthday present"	0.0812839
"Dhaka Stock Exchange"	0.0812694
"Winter Olympic Games"	0.0808237
"Independence Day"	0.0805242
"commencement ceremony"	0.0802745
"World Environment Day"	0.08024
mini-summit	0.0793452
"budget debate"	0.0792108
"council meeting"	0.0791274
Olympiad	0.0789501
"Second Session"	0.0781755
WHA	0.0778361
PECC	0.0775042
"Human Rights Commission"	0.0773928
symposia	0.0770404
"General Council"	0.0765977
"military commission"	0.0764239
"Fourth Session"	0.0743708
"Tony Awards"	0.0743068
"Non-Aligned Movement"	0.0742281
infantry	0.073828
"round table"	0.0738188
"Group of Eight"	0.0737546
"Academy Awards"	0.0733876
"Senate Banking Committee"	0.0729155
"African Cup"	0.0725182
qtr	0.0721196
"Earth Summit"	0.0720233
fora	0.0718511
"Council of Ministers"	0.0715764
"National People"	0.071267
"Commonwealth Games"	0.0709969
"National Republican Congressional Committee"	0.0705373
"Asian Games"	0.070296
"Rules Committee"	0.0699414
Grammys	0.0698977
"PGA Championship"	0.0696826
"standing committee"	0.0695431
"interim committee"	0.0691936
conclave	0.0690822
"World Economic Forum"	0.0690423
G-@	0.0685843
"Inter-Governmental Authority on Development"	0.0682171
roadshow	0.067978
"Olympic Winter Games"	0.0676485
"World Youth Games"	0.0676071
"three-day event"	0.0674541
"National Committee"	0.0673241
"religious service"	0.0671157
"swim meet"	0.0668555
"Fourth World Conference"	0.0668205
"First Session"	0.0667614
"CPPCC National Committee"	0.0665382
"military drill"	0.0662394
"Executive Committee"	0.0657641
"Pan Am Games"	0.0657355
"Summer Olympics"	0.0657336
"East African Cooperation"	0.065717
Presidium	0.0653425
grafs	0.0653195
"Winter Olympics"	0.0652884
"Asian Cup"	0.065233
taskforce	0.0649744
"Democratic National Convention"	0.0648778
"Supreme Council"	0.0648247
"World Table Tennis Championships"	0.0646734
"Senate Budget Committee"	0.0644951
SAARC	0.0641917
Universiade	0.0641083
Ave	0.064097
China-U.S.	0.0634463
soiree	0.0630961
"Palestinian Central Council"	0.0629441
"Indy @@@"	0.0629332
"Congress (NPC) Standing Committee"	0.0626377
rr	0.0626248
"Republican National Convention"	0.0623082
"Central Council"	0.0622724
PNC	0.0621814
"tea party"	0.0621672
"East Asian Games"	0.0621432
"Third Session"	0.0620125
Oktoberfest	0.0619746
"Senate Commerce Committee"	0.0619377
"House Budget Committee"	0.0618879
get-togethers	0.0618695
Panchen	0.0617187
shindig	0.0617022
"Atomic Energy Commission"	0.0614971
"English Football Association"	0.0613831
"PGA Championships"	0.0613251
"prayer meeting"	0.0612962
"All-Star Game"	0.0610473
"European Council"	0.060956
"Organization of Islamic Conference"	0.0608414
Regiment	0.0605334
encyclical	0.0604172
G@	0.0603344
"jazz festival"	0.0602107
commemoration	0.0601827
"Asian Winter Games"	0.06016
"station house"	0.0600911
"World University Games"	0.0599096
"U.N. Human Rights Commission"	0.0597309
"Levi Strauss &AMP; Co."	0.0595948
"National Convention"	0.0595595
pvs	0.0592196
OIC	0.0587857
"open house"	0.0587066
"Supreme Soviet"	0.0581857
Karmapa	0.0581209
G-@@	0.058061
"mass culture"	0.0579253
ICA	0.0578798
"House International Relations Committee"	0.057745
"X Games"	0.0576292
NAM	0.0575609
fiesta	0.0575445
))
(Amman (desc 33431.5) (sims
CAIRO	0.271569
Damascus	0.242105
Beirut	0.237693
Riyadh	0.23108
Tehran	0.229463
ANKARA	0.210379
Tripoli	0.204035
"Tel Aviv"	0.201688
"Addis Ababa"	0.197252
Islamabad	0.196699
Khartoum	0.196051
TUNIS	0.195687
Nairobi	0.193598
Luanda	0.191125
Bangkok	0.190697
KIEV	0.190118
Algiers	0.188919
SEOUL	0.188913
HARARE	0.188589
"New Delhi"	0.18745
Jakarta	0.187115
BUCHAREST	0.187097
"Phnom Penh"	0.184485
CARACAS	0.18266
Havana	0.182338
Doha	0.182128
Baghdad	0.18015
"Kuala Lumpur"	0.179535
KAMPALA	0.179372
Rabat	0.179258
TIRANA	0.177301
Kigali	0.17607
Gaza	0.175404
JOHANNESBURG	0.175018
HANOI	0.174741
DHAKA	0.174198
Manila	0.173838
Moscow	0.173251
BOGOTA	0.172802
Dushanbe	0.172085
MAPUTO	0.169667
Sarajevo	0.16965
Lusaka	0.169403
Istanbul	0.168481
SOFIA	0.167917
Asmara	0.167584
BRUSSELS	0.164325
ZAGREB	0.163841
Kabul	0.16307
Prague	0.1615
Rome	0.161027
"Abu Dhabi"	0.160702
WARSAW	0.160412
BUDAPEST	0.160258
"KUWAIT CITY"	0.159752
BEIJING	0.159684
Madrid	0.1596
COLOMBO	0.159242
LISBON	0.159192
ATHENS	0.158618
"Dar es Salaam"	0.158511
"Mexico City"	0.156629
Pretoria	0.155849
Santiago	0.155258
Geneva	0.155206
Kathmandu	0.154685
Paris	0.154551
LONDON	0.154013
"Buenos Aires"	0.153551
Tokyo	0.153073
BELGRADE	0.152309
Vienna	0.152193
Pristina	0.151611
Minsk	0.15117
Dili	0.149983
SANAA	0.149852
JERUSALEM	0.149361
MANAMA	0.148726
PYONGYANG	0.148527
Lima	0.148282
"Guatemala City"	0.146615
Jeddah	0.145985
Quito	0.145348
Kinshasa	0.145308
NICOSIA	0.144658
YANGON	0.144494
Skopje	0.144263
Belfast	0.144047
Windhoek	0.143428
Bonn	0.142768
TEGUCIGALPA	0.142227
Managua	0.141747
Ramallah	0.140996
Tbilisi	0.140075
Helsinki	0.139231
Karachi	0.136383
"Cape Town"	0.135802
BRASILIA	0.134656
Bujumbura	0.134123
Berlin	0.133355
Mogadishu	0.13335
Maseru	0.133182
Lagos	0.133019
STOCKHOLM	0.132881
Abuja	0.132875
Monrovia	0.132685
Abidjan	0.132162
Srinagar	0.130825
Freetown	0.13009
Durban	0.130086
Baku	0.129426
Accra	0.129129
Bahrain	0.128413
Kunming	0.127652
Taipei	0.127375
Kandahar	0.12687
Gaborone	0.12649
Dublin	0.126275
Aqaba	0.125754
"San Salvador"	0.125749
"Santo Domingo"	0.125648
Oslo	0.125239
Lome	0.124337
Alexandria	0.124016
Yaounde	0.123631
Mbabane	0.121536
Amsterdam	0.120801
DUBAI	0.120642
Washington	0.120258
Lhasa	0.119995
Shanghai	0.118766
"Rio de Janeiro"	0.118579
Peshawar	0.118178
Bissau	0.118158
"Ulan Bator"	0.118127
Frankfurt	0.115844
Muscat	0.114223
Auckland	0.113916
Urumqi	0.113857
Katmandu	0.113048
Jordan	0.112782
Lahore	0.112776
Tashkent	0.111426
Vilnius	0.110476
Suva	0.109699
CHENGDU	0.109293
Kuwait	0.109222
"Saudi Arabia"	0.10833
Vientiane	0.107742
Copenhagen	0.107616
MELBOURNE	0.107154
Port-au-Prince	0.107082
"Sao Paulo"	0.106621
"Egyptian capital"	0.106604
Singapore	0.106478
Sydney	0.106462
"Gaza Strip"	0.106449
"La Paz"	0.106357
Ottawa	0.106328
"San Juan"	0.106066
Dakar	0.105462
Ouagadougou	0.104913
"San Jose"	0.104833
capital	0.104622
Guangzhou	0.104395
Grozny	0.104384
"St. Petersburg"	0.104223
Asuncion	0.103862
Cartagena	0.103714
MONTEVIDEO	0.103653
Egypt	0.102098
Bishkek	0.101925
Wellington	0.101696
Zurich	0.101349
Brazzaville	0.100495
Teheran	0.0989764
Hangzhou	0.0985501
"Panama City"	0.0984242
Arusha	0.0980889
Canberra	0.097786
Calcutta	0.0976905
"Los Angeles"	0.0975367
Bombay	0.0972353
"Ho Chi Minh City"	0.0965113
Honolulu	0.0961208
Jayapura	0.0949387
Yemen	0.094413
"Gaza City"	0.0936581
Milan	0.0931127
Chisinau	0.092715
Yerevan	0.0925322
Qatar	0.0923344
Podgorica	0.0922484
"Hong Kong"	0.0920205
Wuhan	0.0919997
NANJING	0.0916235
BRATISLAVA	0.0915983
"Siem Reap"	0.0915232
Eilat	0.0915041
Kuito	0.0914643
))
("Amman Financial Market" (desc 2034.99) (sims
"Kuwait Stock Exchange"	0.203979
Petra	0.0948013
"Shenzhen Stock Exchange"	0.0902627
"Dhaka Stock Exchange"	0.0827594
"Shanghai Composite Index"	0.0793781
"King Abdullah Bin Hussein"	0.0770531
"Shanghai Stock Exchange"	0.0765786
"Karachi Stock Exchange"	0.0759415
"Kuala Lumpur Stock Exchange"	0.0754198
"King Abdullah II"	0.0708392
dinar	0.0643028
"Philippine Stock Exchange"	0.0631949
"Jakarta Stock Exchange"	0.0588608
"First Section"	0.0586325
"FTSE @@@"	0.0581132
sharemarket	0.0580936
al-Khatib	0.0505438
"David Falk"	0.0489822
bullion	0.0485178
"Ministry of Trade"	0.0481206
"Tokyo Stock Exchange"	0.0478064
"Israeli Foreign Ministry"	0.0472556
"blue-chip stock"	0.0467893
"Civil Aviation Authority"	0.0467443
louver	0.0460118
Aqaba	0.0455893
Palestinians	0.044475
"Ministry of Energy"	0.0438773
fineness	0.0422502
"Ministry of Planning"	0.0409562
))
(Ammiano (desc 5160.96) (sims
Mauro	0.134613
Hagelin	0.129782
Corzine	0.122822
Lungren	0.12128
Florio	0.117165
Vallone	0.116702
Hoffa	0.116564
Ashcroft	0.115134
Blatter	0.114799
Arrington	0.110904
Reilly	0.109799
Nader	0.109685
Perot	0.108635
Schumer	0.108484
Dukakis	0.10829
Katsav	0.106268
Kostunica	0.105494
Fong	0.103956
Bragman	0.103394
Torricelli	0.102421
Harshbarger	0.101612
Lavin	0.101326
DOLE	0.100266
Ferraro	0.100108
Engel	0.0997002
Sharpton	0.099644
Pelosi	0.0976479
Quayle	0.0973013
Labastida	0.0968605
Bradley	0.0965454
Siegelman	0.0965218
Bauer	0.096067
Supachai	0.0957088
Leavitt	0.0953637
D'Amato	0.0948851
Madrazo	0.0945547
McCall	0.0942161
Nateq-Nouri	0.0938084
Giuliani	0.0934517
McCain	0.0933926
McGreevey	0.0933491
Taft	0.0929091
Tarawneh	0.092801
Megret	0.092217
Koehler	0.0902923
"Clint Reilly"	0.0902716
Noboa	0.0901438
"Willie Brown"	0.0901099
Spitzer	0.0887595
Garcetti	0.0879385
MacKay	0.087903
Pataki	0.0870129
Carnahan	0.0866471
Zyuganov	0.085951
Treen	0.0852952
Dodd	0.0849228
Aristide	0.0847526
Cornyn	0.0847
Gephardt	0.0845556
Cardoso	0.0843811
Carey	0.0843546
Mandelson	0.0839704
"Democrat Al Gore"	0.083941
Berisha	0.0839324
Lazio	0.0837797
Rafsanjani	0.0837746
Engler	0.0833161
Feinstein	0.0830421
Buchanan	0.0828111
"Bill Bradley"	0.08269
Gramm	0.0820861
Valenzuela	0.0818076
Molinari	0.0815518
Vacco	0.0813127
Koch-Weser	0.0812801
Kerry	0.081055
Hastert	0.080879
Blount	0.0805845
Poplasen	0.0803169
Solis	0.0802078
"John McCain"	0.0801491
Estrada	0.0799998
Moseley-Braun	0.0797993
Ebersol	0.0796357
Fujimori	0.0793953
Luzhkov	0.0793108
Hodler	0.079091
Baca	0.0789676
Safir	0.0788768
Ventura	0.0788567
Kasich	0.078697
Diouf	0.0786026
Feingold	0.0785508
Cellucci	0.0780744
Flynn	0.0778948
Arias	0.0775445
Forbes	0.0771144
Golisano	0.0769464
Zacarias	0.0766718
Shays-Meehan	0.0766333
Bouteflika	0.0766277
Gormley	0.0764311
Kerrey	0.0762634
Salazar	0.0762128
McGovern	0.0761694
McCaffrey	0.0761179
Peres	0.0760901
SHUSTER	0.0760784
Caddell	0.075978
Khatami	0.0758792
Nebiolo	0.0754202
Chavez	0.075397
Mugabe	0.0752829
Nazarbayev	0.0752581
FAIRCLOTH	0.0750741
"Gary Bauer"	0.0750369
Cardenas	0.0748318
"Ralph Nader"	0.0747867
Bunning	0.0747673
McCollum	0.0745798
Yavlinsky	0.0744642
Balaguer	0.0743832
Dobson	0.0741868
Cuomo	0.0741803
"Hillary Clinton"	0.0741304
"Scott Harshbarger"	0.0740106
"Le Pen"	0.0737716
Chevenement	0.073718
Keyes	0.0735931
Soong	0.0734016
Rosenblatt	0.0733568
Passarella	0.0732131
Leedham	0.0726624
Kaye	0.0723583
Nadler	0.0722731
Harman	0.072243
Shaheen	0.0722257
Shinn	0.0720446
Kaunda	0.0718812
Armey	0.0718765
Johansson	0.0718115
Obasanjo	0.0716591
Shays	0.0716537
Katz	0.0716462
Khannouchi	0.0716456
"Rick Lazio"	0.0716162
Coverdell	0.0715018
"McCaughey Ross"	0.0713381
"Chuck Schumer"	0.0711644
Samuelson	0.0708118
Wahid	0.0707946
Icahn	0.0707531
Hallinan	0.0707165
bock	0.0706439
Zhirinovsky	0.0704971
Kyl	0.0704819
Daschle	0.0704381
Harkin	0.0703944
Millner	0.0703481
guo	0.0703268
"Ross Perot"	0.0702878
Toledo	0.0701048
"Bob Dole"	0.0700261
Plavsic	0.0700039
Habibie	0.0699766
Rowland	0.0698586
"George Bush"	0.0698435
Ouattara	0.0698222
"Pat Buchanan"	0.0696598
Goldwater	0.0696398
Mordechai	0.069637
Kennelly	0.069549
Hyman	0.0693826
Falk	0.0692169
Bishara	0.0691357
Fleischer	0.0690218
"Al Gore"	0.0689709
"Elizabeth Dole"	0.0689231
Mikhailov	0.0688276
Djukanovic	0.0687513
Braswell	0.0687346
Boehner	0.0687239
"Steve Forbes"	0.0686466
Lim	0.0685069
Bulatovic	0.0685065
Joklik	0.0684877
Menem	0.0684819
Dunn	0.0683564
McKenna	0.068315
Pastrana	0.0682116
Heinrichs	0.0679517
Ganga	0.0679043
Charest	0.0678405
Santorum	0.0672919
Merkel	0.0672628
Menino	0.0671777
"Barry Goldwater"	0.0671396
Isakson	0.0670539
Barr	0.0668627
D'Alessandro	0.0668163
))
(ammo (desc 3098.85) (sims
ammunition	0.155844
munition	0.0978163
cartridge	0.0765568
"central heating"	0.0758938
"canned goods"	0.0709616
sewerage	0.0685579
"electric power"	0.0682936
slag	0.0660951
silencer	0.0657483
"sewage disposal"	0.0639678
machine-guns	0.0633878
Kleenex	0.0632207
"elbow room"	0.0612829
Firewood	0.0596965
ordnance	0.0596851
desalination	0.059269
"breathing space"	0.0586962
"hand grenade"	0.0573303
"fresh food"	0.0572483
"electrical power"	0.0564394
"hunting knife"	0.0562136
revolver	0.0557746
"rocket launcher"	0.0553167
"food stock"	0.0548425
propane	0.0546053
purification	0.0544106
"wind power"	0.0536192
"fishing rod"	0.0534955
dynamite	0.0534339
"canned food"	0.0529596
"radio set"	0.0528768
"steam turbine"	0.0513893
flax	0.0513731
bitumen	0.0512214
macaroni	0.0511726
"breathing room"	0.0510218
"solar energy"	0.0508095
"leisure time"	0.0507669
LNG	0.0507264
cheerio	0.0503631
biogas	0.0500402
oomph	0.0496897
snakeskin	0.0496249
agave	0.0492335
Filtration	0.0482924
"garbage disposal"	0.0480901
wastewater	0.0480792
ballgames	0.0475863
"food grain"	0.0473672
"heavy weapon"	0.0471387
baggage	0.0470744
Wheaties	0.0469298
slingshot	0.0468248
"rolling stock"	0.0465485
casing	0.0461403
refining	0.0455336
megamergers	0.0454274
materiel	0.0453193
"sewer system"	0.0452318
nourishment	0.0451265
corroboration	0.0450987
petrochemical	0.0448486
"hot air"	0.0446893
"fishing gear"	0.0445669
"mortar fire"	0.0443967
drainage	0.0440504
"grazing land"	0.0438569
outerwear	0.0437623
"medical aid"	0.0436121
"weapons system"	0.0428923
howitzer	0.0428637
"toxic waste"	0.0428514
"life preserver"	0.0427545
methanol	0.0426314
sheeting	0.0425709
"pipe bomb"	0.0424054
Gadsden	0.0423968
uranium	0.0423786
"machine gun"	0.042359
"time clock"	0.042115
armor	0.0420041
"vital organ"	0.0419785
SDH	0.0418376
launcher	0.041818
"spare part"	0.0417873
musket	0.0416242
"sawed-off shotgun"	0.0411107
"sewage system"	0.0410642
"coconut oil"	0.0410231
buckwheat	0.040959
"bus fare"	0.0407575
turbot	0.0406108
"motor oil"	0.0404089
"safety lock"	0.0403167
nightstick	0.0402415
polyester	0.0400107
))
(ammonia (desc 6681.99) (sims
ethylene	0.189319
"carbon monoxide"	0.179986
urea	0.167491
"caustic soda"	0.164993
chlorine	0.149014
acetone	0.143683
"sulfuric acid"	0.137812
chloride	0.135266
"hydrogen sulfide"	0.131592
"hydrogen peroxide"	0.131393
"carbon dioxide"	0.130258
"polyvinyl chloride"	0.125621
benzene	0.118613
phosphate	0.114243
sulfur	0.113852
"nitrous oxide"	0.111925
phosphorus	0.1115
hydrogen	0.111028
solvent	0.110124
bleach	0.108517
detergent	0.10843
formaldehyde	0.107277
"nitrogen oxide"	0.10674
pesticide	0.105999
hydrocarbon	0.105355
nitrogen	0.10516
POTASH	0.104713
"soybean oil"	0.10413
acid	0.101565
Sewage	0.101094
dioxide	0.100977
methane	0.100821
fertilizer	0.0976598
Sulphur	0.0972923
"nitric acid"	0.0961724
chemical	0.0957183
pollutant	0.093804
"sulfur dioxide"	0.0911887
"vegetable oil"	0.0911188
wastewater	0.0903106
"fuel oil"	0.0902482
"diesel oil"	0.0900335
ethanol	0.0893741
polyethylene	0.0893311
"lubricating oil"	0.0887363
methanol	0.0876683
"peanut oil"	0.0866344
cyanide	0.0851527
electrolyte	0.0850808
gas	0.084972
nitrate	0.0849616
glucose	0.0836888
"diesel fuel"	0.0834082
"wheat flour"	0.0831709
gasoline	0.0823627
cement	0.0813107
"pig iron"	0.0809595
bitumen	0.0792698
"heavy water"	0.0791277
Radon	0.0790587
vinegar	0.0788211
sugar	0.0784892
disinfectant	0.0784778
"liquefied petroleum gas"	0.0784373
insecticide	0.077696
polypropylene	0.077463
kerosene	0.0771336
tritium	0.0769861
Sarin	0.0768614
potassium	0.0767295
"food grain"	0.0751522
"beef broth"	0.0743407
"crude oil"	0.0730808
carbon	0.0727214
propane	0.0725383
mercury	0.0724295
LNG	0.0717629
"olive oil"	0.0717131
"mustard gas"	0.0716784
ozone	0.071347
hemoglobin	0.0710022
"cider vinegar"	0.0708284
"orange juice"	0.0701192
"corn syrup"	0.070015
"soy sauce"	0.0694369
chromium	0.0691877
starch	0.0691836
"baking soda"	0.0690739
petrochemical	0.0689006
iron	0.0688204
dioxin	0.0687107
molasses	0.0685727
"cane sugar"	0.0681781
biogas	0.0678611
"laundry detergent"	0.0677899
"two million tons"	0.0677715
"natural gas"	0.0677131
particulates	0.0675603
cocoa	0.0674895
plutonium	0.067461
radioactivity	0.0673958
"pineapple juice"	0.0671572
"ammonium nitrate"	0.0668202
"beef stock"	0.0667915
arsenic	0.0667333
Liquid	0.0665926
PVC	0.0664836
"fish meal"	0.0662188
homocysteine	0.0660961
ore	0.0657795
"organic compound"	0.0657488
"powdered milk"	0.0654038
"synthetic fiber"	0.065266
diesel	0.0651157
rubber	0.0648718
cornstarch	0.0646227
"cooking oil"	0.0645407
Coal	0.0645026
sorghum	0.064492
pulp	0.0643848
carcinogen	0.0642798
asbestos	0.0642032
salt	0.0642
ingot	0.0640858
Zinc	0.0639852
"hoisin sauce"	0.0639721
"amino acid"	0.063808
uranium	0.0637831
oxygen	0.0635729
serotonin	0.0634445
"waste material"	0.0633693
"wine vinegar"	0.0632299
buttermilk	0.0631695
fungicide	0.0631474
petroleum	0.0631158
flour	0.0630519
manure	0.0630003
VX	0.062895
herbicide	0.0625481
CO@	0.0621219
"cashew nut"	0.0620061
"chicken broth"	0.0619952
sherry	0.0616184
"steel plate"	0.0614888
nutrient	0.0614733
helium	0.0613013
residue	0.0612942
powder	0.0609429
cornmeal	0.0608075
"nitric oxide"	0.0604181
"Worcestershire sauce"	0.060094
"green tea"	0.0600216
charcoal	0.0600085
sulfate	0.0595383
"tomato paste"	0.0594323
"evaporated milk"	0.0593133
"tomato juice"	0.0590666
barley	0.0590386
newsprint	0.0587693
DDT	0.0582563
penicillin	0.0580762
silt	0.0578621
oxide	0.0577709
LPG	0.0576492
"four million tons"	0.0576239
"whipping cream"	0.0576022
"palm oil"	0.0576009
"lemon juice"	0.0573394
"three million tons"	0.0569427
manganese	0.0568644
seaweed	0.0565645
Copper	0.0563014
petrol	0.0562693
aluminium	0.0559845
panko	0.055938
soot	0.0559217
"white rice"	0.0556541
"mineral water"	0.0555418
fiber	0.0554878
antifreeze	0.055078
polymer	0.0549392
fibre	0.0549371
lubricant	0.0549042
maize	0.0544804
"human waste"	0.054291
"methyl bromide"	0.0542671
impurity	0.0542424
"heavy cream"	0.0541818
"sex hormone"	0.0537335
DAP	0.0536936
contaminant	0.0536812
half-and-half	0.0535914
"water vapor"	0.0535466
"cottage cheese"	0.0534393
coolant	0.0533314
cobalt	0.0532534
Calcium	0.0532492
cadmium	0.0530227
"dry ice"	0.052747
pigment	0.0527138
))
("ammonium nitrate" (desc 1189.31) (sims
POTASH	0.149259
dynamite	0.14623
"plastic explosive"	0.131273
"high explosive"	0.112437
hashish	0.111059
gunpowder	0.110255
urea	0.106814
phosphate	0.101686
"dry ice"	0.100376
"organic compound"	0.0936879
"dog food"	0.0930555
methamphetamine	0.0899491
Chara	0.0873253
DAP	0.0821513
nitrate	0.0749636
"coffee bean"	0.0744092
Zonolite	0.0743588
plutonium	0.074307
"ground beef"	0.0733382
opium	0.0720836
phosphorus	0.0713385
vermiculite	0.0708332
compost	0.0697295
"wheat flour"	0.0686818
detonator	0.0671467
ammonia	0.0668202
houseplant	0.0649128
"about @@ tons"	0.0648431
marihuana	0.0647501
bhang	0.0629745
nitrogen	0.0627486
sodium	0.0625271
"pipe bomb"	0.0619092
AK-@@	0.0614067
silencer	0.0611691
hibiscus	0.0597458
"about @@@ tons"	0.0584105
munition	0.0582753
soya	0.0568881
"submachine gun"	0.0563559
napalm	0.0559787
"fuel oil"	0.0552381
oreo	0.0550543
"amino acid"	0.0545279
"more than @@@ pounds"	0.0543087
propellant	0.0541854
ingot	0.0537834
methanol	0.0533395
"pet food"	0.0530427
"jelly bean"	0.0527638
hGH	0.0526946
"hand grenade"	0.0525178
bauxite	0.0524394
"six tons"	0.0523525
"three tons"	0.0521854
LNG	0.0519282
"over @@@ tons"	0.0515525
"sunflower seed"	0.0510704
poppy	0.050924
resin	0.0507489
bougainvillea	0.0501797
"M&AMP;M"	0.0492119
"animal skin"	0.0491007
"food additive"	0.049046
crayfish	0.0489292
camellia	0.0487891
"fish fillet"	0.0487682
"one million dollars"	0.0482577
"filet mignon"	0.0482418
"coconut oil"	0.0478595
"soybean oil"	0.0475554
receivables	0.0472703
pasteurization	0.0469436
amphetamine	0.0469323
khat	0.0467229
"food grain"	0.046721
"fish meal"	0.0463014
"raw meat"	0.0459156
"carbon dioxide"	0.0456573
"about @@@ pounds"	0.045628
Sarin	0.0454423
"five tons"	0.0451189
"booby trap"	0.0449906
oxide	0.0447247
crossbow	0.0445186
IC	0.0443778
instructions	0.0443153
megabits	0.0442609
"M&AMP;Ms"	0.0441026
biogas	0.043961
"pirate ship"	0.043857
"Lincoln Center Theater"	0.0437715
preservative	0.0433792
capsaicin	0.0432899
"salad greens"	0.0430755
Sulphur	0.0429734
"hard drug"	0.0428973
lentil	0.042458
marbles	0.0423597
"human waste"	0.0423426
absolutes	0.042242
tilapia	0.0421767
rind	0.0418455
"liquefied petroleum gas"	0.0417052
ethanol	0.0413623
Smokey	0.041034
"atom bomb"	0.0409205
condensate	0.0407702
CFCs	0.0406204
millet	0.0406161
"baking soda"	0.0406156
telemedicine	0.0405864
keyword	0.040469
turmeric	0.0404358
tritium	0.0402501
kerosene	0.0402378
"french fries"	0.0401602
cannabis	0.0401399
))
(ammunition (desc 40329.3) (sims
munition	0.204679
weapon	0.190455
Grenade	0.181757
rifle	0.181476
explosive	0.172982
"machine gun"	0.167733
"hand grenade"	0.162981
pistol	0.15603
ammo	0.155844
handgun	0.151728
revolver	0.151144
bullet	0.146795
"automatic rifle"	0.14454
machine-guns	0.140811
firearm	0.140684
gun	0.138096
mortar	0.134743
"rocket launcher"	0.132393
cartridge	0.129435
"submachine gun"	0.128412
silencer	0.126395
artillery	0.126161
ordnance	0.126012
shotgun	0.124937
launcher	0.123107
"heavy weapon"	0.122529
"explosive device"	0.121297
weaponry	0.120935
bomb	0.120036
"pipe bomb"	0.117927
"land mine"	0.114056
fuel	0.113936
"sawed-off shotgun"	0.11018
equipment	0.10884
missile	0.105824
Shell	0.104432
detonator	0.104423
"spare part"	0.100849
carbine	0.100116
narcotic	0.0999912
tank	0.0947537
cocaine	0.0910758
dynamite	0.0909747
landmines	0.0908867
contraband	0.0908643
projectile	0.0903887
materiel	0.090271
material	0.0898379
supply	0.0878847
casing	0.0876999
"personnel carrier"	0.0873914
cannon	0.0871844
rocket	0.0871212
"cluster bomb"	0.0866498
"tear gas"	0.0865232
howitzer	0.0854229
arm	0.0853869
fertilizer	0.0852971
uranium	0.0849903
foodstuff	0.0844903
knife	0.0834215
marijuana	0.083247
goods	0.082582
plutonium	0.0824596
munitions	0.0823178
"chemical agent"	0.0819278
heroin	0.0812781
hashish	0.0811287
armament	0.0800532
"booby trap"	0.0800398
gear	0.0795409
food	0.0788436
machete	0.0786582
fodder	0.0779808
chemical	0.076583
cash	0.0760674
"plastic explosive"	0.0759386
"water cannon"	0.0759314
medicine	0.0756507
drug	0.0751577
bayonet	0.0750042
tool	0.0747539
helicopter	0.0747271
grain	0.0745728
gunpowder	0.0741558
"surface-to-air missile"	0.0736524
pellet	0.0730991
belonging	0.0730852
"mortar fire"	0.0730519
vehicle	0.0730405
troop	0.0730347
hardware	0.0726958
firepower	0.0726067
gasoline	0.0723066
firework	0.072168
"nuclear weapon"	0.072118
battery	0.0719769
cargo	0.0712684
torpedo	0.070405
canister	0.0703149
gas	0.0701512
armor	0.0697874
"nerve gas"	0.0694715
pesticide	0.0693423
"building material"	0.0691608
cache	0.0691373
"food aid"	0.0689643
mine	0.0686416
money	0.068633
warhead	0.068592
"consumer goods"	0.0684605
"communications equipment"	0.0681798
Coin	0.0670514
aircraft	0.0669067
Clothing	0.0668589
waste	0.0667796
"poison gas"	0.066739
warplanes	0.0666737
Vaccine	0.0663779
container	0.0661178
condom	0.0660947
Manpower	0.0651321
baggage	0.0650892
item	0.0650529
"medical aid"	0.0646272
"military vehicle"	0.0644763
"fuel oil"	0.0639883
passport	0.063823
jewelry	0.0634629
device	0.0634522
merchandise	0.0633634
"raw material"	0.0632733
"food stock"	0.0631922
M-@@	0.0630668
Coal	0.062887
tablet	0.0627674
"toxic waste"	0.0626296
"household appliance"	0.0624762
reinforcement	0.0620103
alcohol	0.0615572
blanket	0.0611701
sword	0.0609209
pill	0.0607452
component	0.0607267
cement	0.0606969
petrol	0.0606812
Garbage	0.0606036
"bulletproof vest"	0.0605608
antibiotic	0.0605512
oxygen	0.0603808
machinery	0.0602008
Firewood	0.0601592
napalm	0.0601194
luggage	0.0601065
artifact	0.0600838
soldier	0.0600469
tire	0.0599455
"motor vehicle"	0.0598415
maize	0.059812
arms	0.0597647
firecracker	0.0597581
cigarette	0.0596528
"food supply"	0.0593447
shrapnel	0.0593042
clip	0.0592101
kit	0.0591965
document	0.0589974
gunfire	0.0589889
automobile	0.0589224
furniture	0.0587612
generator	0.0585131
oil	0.0580757
"time bomb"	0.0578238
musket	0.0573472
mask	0.0573157
"rallying point"	0.0573063
landmine	0.0572904
quantity	0.0571471
"food product"	0.0569815
cloth	0.0568933
"wheat flour"	0.0568885
appliance	0.0568624
Magnum	0.0566173
textbook	0.0565507
"heating oil"	0.0564158
truck	0.0563572
evidence	0.0563017
consignment	0.0562683
"drinking water"	0.0562424
liquor	0.0562297
electricity	0.0562105
walkie-talkie	0.0561876
aid	0.0561595
poison	0.0560574
substance	0.0558821
"logistic support"	0.0554423
"nuclear warhead"	0.0553932
"powdered milk"	0.0553002
ore	0.054633
steel	0.0543429
))
(amnesia (desc 3257.43) (sims
"writer's block"	0.122658
"memory loss"	0.117734
deafness	0.107581
"nervous breakdown"	0.101404
paralysis	0.0906127
dementia	0.0901223
frostbite	0.0889282
"mental disorder"	0.0867263
migraine	0.0855298
epilepsy	0.0850401
indigestion	0.0838641
"cerebral palsy"	0.0813303
delusion	0.078562
"food poisoning"	0.0777316
schizophrenia	0.0774457
blindness	0.0764365
"stage fright"	0.0757688
bronchitis	0.0755019
"congestive heart failure"	0.0749179
powerlessness	0.0746437
"personality disorder"	0.0745409
homesickness	0.072257
impotence	0.071588
"crop failure"	0.0714562
influenza	0.0705411
myopia	0.0703888
nosebleed	0.0698731
"dog bite"	0.0693819
nausea	0.0680397
insomnia	0.0677493
Dysentery	0.0676344
numbness	0.0675106
"heat exhaustion"	0.0671947
relapse	0.0669989
gastroenteritis	0.066335
"manic depression"	0.0659076
unconsciousness	0.0652801
anemia	0.06522
insanity	0.0634088
"engine failure"	0.0633636
"back pain"	0.0632034
hypothermia	0.0625534
impairment	0.0622284
disorientation	0.0621295
disconnection	0.0618742
"sour grapes"	0.0607225
Meningitis	0.0605626
diarrhea	0.0604121
ignorance	0.0602878
"heart failure"	0.0601756
"moral hazard"	0.0593351
irritability	0.0593289
Exhaustion	0.0593234
trance	0.0590999
hopelessness	0.0590374
"asthma attack"	0.0587969
overexposure	0.0587404
cramp	0.0583237
asthma	0.0582197
complacency	0.0578085
misunderstanding	0.0577987
naivete	0.0573427
"deja vu"	0.0571207
autism	0.0571177
cirrhosis	0.0571123
pneumonia	0.0570655
soul-searching	0.0569616
helplessness	0.0565922
deprivation	0.0563113
dizziness	0.056305
"mental illness"	0.0561107
revisionism	0.0558186
self-preservation	0.0557915
"liver disease"	0.0556714
"hot flash"	0.0554506
"lead poisoning"	0.0553546
jaundice	0.0553144
"numbers game"	0.0552027
delirium	0.0551922
Osteoporosis	0.0545467
hallucination	0.0542979
orgasm	0.0542804
osteoarthritis	0.054202
revers	0.0540955
hyperinflation	0.0539509
unreality	0.0538305
"bipolar disorder"	0.0536595
"neurological disorder"	0.0534788
hangover	0.0534001
"rheumatoid arthritis"	0.0531494
dislocation	0.0528808
emphysema	0.0527248
divestment	0.0523721
self-doubt	0.0523425
malnutrition	0.0522984
bargain-hunting	0.0522669
dehydration	0.052146
restlessness	0.0519178
sunburn	0.0516218
leukemia	0.0515108
hepatitis	0.0514634
palpitation	0.051061
"brain tumor"	0.0509445
"multiple sclerosis"	0.0508047
self-consciousness	0.0506312
suffocation	0.0505758
"venereal disease"	0.050574
retardation	0.0505409
gout	0.0503793
"eye disease"	0.0503284
"blind spot"	0.0501474
discoloration	0.0501114
cataract	0.0498882
diabetes	0.0498322
fibrillation	0.0498186
convulsion	0.0496556
overcapacity	0.049487
ennui	0.049422
"Parkinson's disease"	0.0493432
serendipity	0.0492886
hysteria	0.0492061
miscommunication	0.0490711
slumber	0.0490449
"chest pain"	0.0489773
ulcer	0.0489657
abnormality	0.0487443
jitters	0.0486101
disorganization	0.0485286
hiccup	0.0484065
stomachache	0.0482076
tendinitis	0.0479308
copout	0.0477177
ignominy	0.0476713
lymphoma	0.0475846
pang	0.0475105
wariness	0.0472495
"cardiovascular disease"	0.0470155
fright	0.0470141
vomiting	0.0469803
premonition	0.0469306
"power failure"	0.0467976
hypertension	0.0467189
incapacity	0.0464633
glaucoma	0.0463968
Docudrama	0.0461256
"emotional distress"	0.0460808
foreboding	0.0458461
dysfunction	0.0456942
recurrence	0.0455231
abdication	0.0455023
overproduction	0.0452362
giddiness	0.0451995
"liquidity problem"	0.0451698
"child abuse"	0.0451477
arthritis	0.0451203
exhilaration	0.0448731
"cold weather"	0.0445317
euphoria	0.0444982
"artificial heart"	0.0444928
"high blood pressure"	0.0444709
miscarriage	0.044461
diarrhoea	0.0442768
self-awareness	0.044255
downturns	0.0442456
"skin cancer"	0.0442157
vindication	0.0441717
anticlimax	0.0441612
trepidation	0.044058
Wanderlust	0.0440477
sickness	0.0440301
dormancy	0.0439697
comeuppance	0.0439518
lunacy	0.0439454
irrationality	0.0439382
screed	0.0439031
eugenics	0.0438751
stoppage	0.0435521
write-off	0.0434168
paranoia	0.043343
nearsightedness	0.0432767
"bubonic plague"	0.0431571
lethargy	0.0431562
gamesmanship	0.0431552
pessimism	0.0430163
nervousness	0.0429396
herpes	0.0428724
Alzheimer	0.0427653
sclerosis	0.042723
misrepresentation	0.0426018
cannibalism	0.0425633
Ostracism	0.0424149
calmness	0.042353
"work stoppage"	0.0423002
hemorrhage	0.0422246
spasm	0.0421681
"tooth decay"	0.0420368
scarcity	0.0420291
shortness	0.0419917
"soil erosion"	0.04186
constipation	0.0417399
))
(amnesty (desc 32060.8) (sims
pardon	0.20165
clemency	0.192092
immunity	0.144623
leniency	0.134039
asylum	0.129918
parole	0.115226
citizenship	0.11308
visa	0.111479
exemption	0.111318
reprieve	0.108132
ceasefire	0.107272
cease-fire	0.105749
moratorium	0.101783
"work permit"	0.100437
waiver	0.100234
"tax break"	0.0988779
permit	0.0930481
truce	0.090964
"pay raise"	0.0895701
"death penalty"	0.0878632
assistance	0.0878157
protection	0.087772
concession	0.0876341
commutation	0.0875947
privilege	0.087049
autonomy	0.0868691
"wage increase"	0.0855258
residency	0.0846342
extension	0.0842367
compensation	0.0841996
extradition	0.0838446
punishment	0.083239
bail	0.0811586
withdrawal	0.0808845
ultimatum	0.0808014
sentence	0.0804472
"financial aid"	0.080046
lifting	0.0799539
license	0.0798612
ban	0.0797354
aid	0.0796838
forgiveness	0.0795104
"tax credit"	0.0787635
naturalization	0.0786727
reparation	0.0786061
subsidy	0.0776113
"food stamp"	0.0775319
"prison term"	0.076579
decree	0.076267
postponement	0.0761575
bailout	0.0756003
apology	0.0753753
statehood	0.0751395
membership	0.0745468
"tax cut"	0.074544
guarantee	0.0743979
funding	0.0739998
renewal	0.0731919
voucher	0.0731183
pullback	0.0728161
reinstatement	0.0726113
incentive	0.0717369
overhaul	0.0711679
pullout	0.0711441
reduction	0.0711052
registration	0.0707342
pension	0.0703429
deregulation	0.0702371
suspension	0.0700754
relief	0.0700008
accountability	0.0696929
accreditation	0.0695026
freedom	0.0694823
resignation	0.0694374
injunction	0.0694192
Privatization	0.0692241
amendment	0.0691747
closure	0.068731
arbitration	0.0687165
referendum	0.0685014
hike	0.0681991
certification	0.0679016
patent	0.0677416
rebate	0.0676121
agreement	0.067533
"tax reduction"	0.0675065
refund	0.0673951
repeal	0.0673215
revision	0.0673132
package	0.067196
licence	0.0665802
"marriage license"	0.0664353
pact	0.0663324
legislation	0.0663024
prosecution	0.0662425
trial	0.0662424
subpoena	0.0662212
"tax increase"	0.0659439
permission	0.0654879
recognition	0.0654505
sanction	0.0645342
directive	0.0645326
demilitarization	0.0643597
loan	0.0643266
intervention	0.064234
"rate cut"	0.0639878
authorization	0.0633815
accord	0.063307
quota	0.0632407
provision	0.0631295
financing	0.0631039
redress	0.0630812
allowance	0.0629312
"Bill of Rights"	0.0628939
"spending cut"	0.0628776
status	0.0625338
plea	0.0625023
Liberalization	0.0622557
law	0.0622493
lease	0.062241
appointment	0.0622104
"health insurance"	0.0621867
deployment	0.0621797
discount	0.0621778
dollarization	0.0620944
reform	0.0620786
warrant	0.0619516
"arrest warrant"	0.0618892
self-rule	0.0618649
approval	0.0616187
compromise	0.061552
access	0.0614416
reshuffle	0.061396
settlement	0.061091
Cessation	0.0607903
"legal status"	0.0606749
certificate	0.0606537
buyout	0.0604821
"medical care"	0.0603274
regulation	0.0603265
deferment	0.0603068
"budget cut"	0.0602865
"policy change"	0.0602312
rollback	0.060141
reimbursement	0.0600538
Treaty	0.0598962
mandate	0.059713
treatment	0.059683
proposal	0.059599
remedy	0.0595863
passport	0.0594482
censure	0.0593449
scholarship	0.0592585
admission	0.0591405
bonus	0.0591356
restitution	0.0591116
Dismissal	0.0588385
statute	0.0587469
designation	0.0581702
boycott	0.0580583
employment	0.0580391
abatement	0.05801
initiative	0.0578107
clearance	0.0577459
Medicaid	0.0577307
resolution	0.0576428
cutback	0.0576199
disclosure	0.0575157
deadline	0.0574818
restriction	0.0574199
representation	0.0573935
embargo	0.0573518
mediation	0.0569715
"tax incentive"	0.0569374
clause	0.0569337
deportation	0.0567141
"rate increase"	0.056679
confidentiality	0.0566327
reward	0.0565339
Ordinance	0.0564902
cancellation	0.0563679
probation	0.0562756
independence	0.0562695
shelter	0.0561488
"prison sentence"	0.0559826
resumption	0.0558867
censorship	0.0558515
payment	0.0558503
charter	0.0558374
scheme	0.0558218
crackdown	0.0557865
self-determination	0.0555264
participation	0.055433
assurance	0.0554141
impunity	0.0553174
"name change"	0.0552897
insurance	0.0552212
layoff	0.0552165
easing	0.0552156
"stock option"	0.0550939
))
("Amnesty International" (desc 11175.8) (sims
"Human Rights Watch"	0.25091
Greenpeace	0.219931
"Anti-Defamation League"	0.161138
Oxfam	0.158759
"American Civil Liberties Union"	0.156562
"U.S. State Department"	0.154791
"Sierra Club"	0.146159
"Families USA"	0.144807
"Common Cause"	0.142976
"Public Citizen"	0.141522
"World Wildlife Fund"	0.138777
"World Jewish Congress"	0.137142
"Consumers Union"	0.136923
NAACP	0.13559
"Judicial Watch"	0.134688
"Cuban American National Foundation"	0.134377
"Russian Foreign Ministry"	0.134082
"Human Rights Campaign"	0.130969
ACLU	0.129021
"Natural Resources Defense Council"	0.128545
"American Association of Retired Persons"	0.127749
"French Foreign Ministry"	0.124969
"American Petroleum Institute"	0.123502
UNICEF	0.121082
"Log Cabin Republicans"	0.120113
"Transparency International"	0.119005
"International Red Cross"	0.118095
"National Organization"	0.117473
"Education Department"	0.117227
"U.S. Chamber of Commerce"	0.116585
"World Health Organization"	0.116365
AFL-CIO	0.114923
Hamas	0.11489
"Organization of American States"	0.114645
"Iraqi National Congress"	0.114118
"United Nations Children's Fund"	0.113616
"Violence Policy Center"	0.113399
Interpol	0.113248
"National Association"	0.111492
AARP	0.111178
"American Jewish Committee"	0.110355
"National Transportation Safety Board"	0.109987
"Council of Europe"	0.109547
"State Department"	0.109449
"Arab League"	0.10881
"Center for Responsive Politics"	0.108513
"National Council of Churches"	0.10783
"American Lung Association"	0.106839
CDC	0.106498
"Carter Center"	0.106399
"U.S. Agriculture Department"	0.106054
"US State Department"	0.1058
"National Republican Congressional Committee"	0.105655
"U.N. Development Program"	0.105309
"Federal Trade Commission"	0.104441
"Handgun Control"	0.104221
"Department of Health"	0.104123
"Planned Parenthood"	0.104066
"Islamic Jihad"	0.103942
"Turkish Foreign Ministry"	0.103809
"Christian Coalition"	0.103223
"Air Transport Association"	0.102474
UNAIDS	0.102459
"National Rifle Association"	0.101569
"Red Cross"	0.101315
"Foreign Ministry"	0.100727
EOHR	0.100571
"Iranian Foreign Ministry"	0.100248
"National Academy of Sciences"	0.0996203
"Department of Labor"	0.0993403
"National Alliance"	0.0992919
"Nahdlatul Ulama"	0.0991818
"U.S. Immigration and Naturalization Service"	0.0990725
"Audubon Society"	0.0988202
"Handgun Control Inc."	0.0984131
Caritas	0.0971806
"European Commission"	0.0969969
"Electronic Privacy Information Center"	0.0967959
"Economic Planning Agency"	0.0967277
"Environmental Protection Agency"	0.0964995
"Department of Agriculture"	0.0962361
"Justice Ministry"	0.0960091
"National Education Association"	0.0955795
"labor union"	0.0954665
"English Football Association"	0.095223
"African National Congress"	0.0951107
"Department of Education"	0.0947109
"World Bank"	0.0946634
"Securities Industry Association"	0.0944987
"Interior Ministry"	0.0944763
"Census Bureau"	0.09432
"International Federation"	0.0943028
"Israeli Foreign Ministry"	0.0936189
"Institute of Medicine"	0.0935335
"Rainbow/PUSH Coalition"	0.0934471
"U.N. World Food Program"	0.0933357
"Conference Board"	0.0933029
"Consumer Federation"	0.0932296
OSCE	0.0932243
UNESCO	0.0931487
"World Food Program"	0.0927674
"U.S. Environmental Protection Agency"	0.0926877
"UN agency"	0.0924482
FIFA	0.0921117
"International Badminton Federation"	0.0918452
"National Federation"	0.091762
NTSB	0.0915952
"Organization for Economic Cooperation and Development"	0.0914032
"National Election Committee"	0.0912938
"Electronic Frontier Foundation"	0.0911836
Hezbollah	0.0907441
"Health Ministry"	0.0901652
"Southeastern Legal Foundation"	0.09009
"National Council of La Raza"	0.0898059
"American Cancer Society"	0.0897455
"U.S. Fish and Wildlife Service"	0.0896513
"Department of Health and Human Services"	0.0893685
Vatican	0.0893529
EEOC	0.0891344
"Russian Defense Ministry"	0.0889864
NRC	0.0885569
"National Highway Traffic Safety Administration"	0.0883828
UNHCR	0.088264
"Department of Commerce"	0.0882479
ETA	0.0882175
"Democratic Congressional Campaign Committee"	0.0878824
"United Nations High Commissioner for Refugees"	0.0877043
"U.S. Forest Service"	0.0873735
"Family Research Council"	0.087322
"Real IRA"	0.0872712
"Transportation Department"	0.0871148
"Justice Department"	0.0869143
"Department of Environmental Protection"	0.086898
PETA	0.086734
"League of Conservation Voters"	0.0867257
"Finance Ministry"	0.0866366
"Irish Republican Army"	0.0863616
"International Labor Organization"	0.0862633
"Southern Poverty Law Center"	0.0862297
"Socialist Party"	0.0859102
"Republican National Committee"	0.0858999
"American Medical Association"	0.0857756
"World Tourism Organization"	0.085439
"Humane Society"	0.0852671
"Federal Emergency Management Agency"	0.0852435
"National Research Council"	0.0851824
"Hong Kong Tourist Association"	0.0850137
OSHA	0.0849255
"National League for Democracy"	0.0848188
"chamber of commerce"	0.0846587
"Texas Department of Public Safety"	0.0845922
"College Board"	0.0845669
"U.S. Census Bureau"	0.0844244
"Secretary General Esmat Abdul-Meguid"	0.0843653
"Defense Agency"	0.0841503
federation	0.0840223
"General Accounting Office"	0.0838408
"Truth Commission"	0.0837361
"Commerce Department"	0.0835504
"United Nations High Commission for Refugees"	0.0835328
"Truth and Reconciliation Commission"	0.0835063
WFP	0.0835041
"Caribbean Community"	0.0834297
ICRC	0.0832997
"Securities and Exchange Commission"	0.0831249
"Operation Lifeline Sudan"	0.0830731
"League of Women Voters"	0.083033
FALN	0.0827023
"Treasury Department"	0.0826172
"foreign office"	0.0824408
"National Association of Securities Dealers"	0.0822688
Abdel-Meguid	0.0821911
"Bill Lockyer"	0.0821841
"United Nations Development Program"	0.0820928
association	0.0820816
"Agriculture Department"	0.0820775
IAEA	0.0820348
"trade union"	0.0820086
"Chinese Foreign Ministry"	0.0820032
Otpor	0.0819799
"Democratic Leadership Council"	0.0819661
CWA	0.0819589
"Secretary General Esmat Abdel-Meguid"	0.0819531
"Ministry of Trade and Industry"	0.0818589
"Federal Aviation Administration"	0.0818542
"New York Civil Liberties Union"	0.0816881
"Football Association"	0.0815939
"Republican Leadership Council"	0.0813782
"Board of Elections"	0.0812479
"National Audubon Society"	0.0809685
"Air Line Pilots Association"	0.0809042
UCI	0.0808309
"International Committee"	0.0806163
"Recording Industry Association of America"	0.0803162
"Center for Science"	0.0802291
"Democratic National Committee"	0.0802255
AAA	0.0799851
"Department of Transportation"	0.0799818
"Fish and Wildlife Service"	0.0797993
"American Association of Health Plans"	0.079783
))
("Amnuay Virawan" (desc 1013.55) (sims
"Tim Fischer"	0.298937
"Lee Hsien Loong"	0.278806
"Abdullah Ahmad Badawi"	0.276425
"Yuri Maslyukov"	0.259733
"Mikhail Kasyanov"	0.255234
"Michael Heseltine"	0.228459
"Tareq Aziz"	0.213606
"Kiichi Miyazawa"	0.204705
"Sartaj Aziz"	0.195972
"Supachai Panitchpakdi"	0.192733
"Lokendra Bahadur Chand"	0.19073
"Chavalit Yongchaiyudh"	0.189389
"Boris Fyodorov"	0.183048
"Vo Van Kiet"	0.182097
"Fayez Tarawneh"	0.18189
"Boris Nemtsov"	0.180418
"Igor Sergeyev"	0.174641
"David Levy"	0.173489
"Phan Van Khai"	0.164474
"Yitzhak Mordechai"	0.162135
"John Anderson"	0.16161
"Dan Meridor"	0.161404
"Krishna Prasad Bhattarai"	0.160335
"Daim Zainuddin"	0.155096
"Salim Hoss"	0.152816
"Goran Persson"	0.151129
"Tariq Aziz"	0.150864
"H.D Deve Gowda"	0.149848
"Anatoly Chubais"	0.149802
"I.K Gujral"	0.147494
"Igor Ivanov"	0.147097
"Atef Obeid"	0.14658
al-Khatib	0.146552
"Frederick Sumaye"	0.145455
Khai	0.143902
"Lamberto Dini"	0.143627
"John Prescott"	0.142931
"Tansu Ciller"	0.142907
"Ung Huot"	0.142828
el-Ganzouri	0.142657
"Abdul Karim Kabariti"	0.141526
Harmoko	0.139361
"Anwar Ibrahim"	0.138797
"Qian Qichen"	0.136591
Jayakumar	0.135553
"Than Shwe"	0.13542
"Necmettin Erbakan"	0.134762
Bhattarai	0.133698
"Ariel Sharon"	0.133582
"Eisuke Sakakibara"	0.133124
"Pascoal Mocumbi"	0.132761
"Tang Jiaxuan"	0.132291
Axworthy	0.131905
"Inder Kumar Gujral"	0.131735
"Alexander Shokhin"	0.131568
"Oskar Lafontaine"	0.13147
Rodionov	0.131216
"Laurent Fabius"	0.130993
Masire	0.13
"George Robertson"	0.128849
"Kamal Kharrazi"	0.128843
Ikeda	0.126791
Sahnoun	0.125254
al-Hariri	0.125187
"Pakalitha Mosisili"	0.124429
"Klaus Kinkel"	0.124199
"Chuan Leekpai"	0.12398
"Girija Prasad Koirala"	0.123478
Murayama	0.123137
"Radu Vasile"	0.122929
"Ismail Cem"	0.12268
"Valery Pustovoitenko"	0.12154
"Jaswant Singh"	0.120756
"Wim Kok"	0.120469
"Mesut Yilmaz"	0.12028
"President Lee Teng-hui"	0.118395
Aziz	0.11813
"Wlodzimierz Cimoszewicz"	0.118091
"Deve Gowda"	0.11782
Ibrahim	0.117302
Chavalit	0.116975
Banharn	0.116848
"Sergei Stepashin"	0.116567
"Prime Minister Kamal El-Ganzouri"	0.116032
"Jerzy Buzek"	0.115765
"Franjo Tudjman"	0.115679
"Li Zhaoxing"	0.114965
"Rafik Hariri"	0.114884
"Sergei Kiriyenko"	0.114104
Muoi	0.113706
"Jean Chretien"	0.112857
"Sher Bahadur Deuba"	0.112835
Guterres	0.112824
"Jacques Chirac"	0.112741
"Alain Juppe"	0.112645
"John Major"	0.11259
Boueiz	0.111853
"Tomiichi Murayama"	0.111337
"Natan Sharansky"	0.110997
Fabius	0.110864
MIYAZAWA	0.110384
"Yasser Abed Rabbo"	0.110297
Bildt	0.110223
"Ryutaro Hashimoto"	0.110015
Milutinovic	0.109644
"Joao Havelange"	0.109595
"Chi Haotian"	0.10949
Lipponen	0.108741
"Michel Camdessus"	0.108741
Ruehe	0.108598
al-Shara	0.108579
"Vojislav Seselj"	0.108244
"Joschka Fischer"	0.108118
Velayati	0.107953
Meguid	0.107272
"Vaclav Klaus"	0.107122
Fino	0.107006
"Romano Prodi"	0.106973
"Meles Zenawi"	0.106835
Camdessus	0.106779
"Yevgeny Primakov"	0.106705
Alatas	0.106665
Siazon	0.106656
Ruggiero	0.106277
"Mahathir Mohamad"	0.10601
"Gordon Brown"	0.105861
"Costas Simitis"	0.105828
Hasina	0.105743
"Kenneth Clarke"	0.105731
"Bulent Ecevit"	0.10555
"Prince Saud Al-Faisal"	0.104991
"Warren Christopher"	0.104611
"Atal Bihari Vajpayee"	0.104552
"Antonio Guterres"	0.104216
"P.V Narasimha Rao"	0.103614
"Renato Ruggiero"	0.103448
"Felipe Gonzalez"	0.103097
Duisenberg	0.102867
"Victor Chernomyrdin"	0.102761
Frei	0.102553
"John Bruton"	0.10213
Arbour	0.101945
"Ivan Kostov"	0.10191
Vasile	0.10158
Kok	0.101261
"Kim Yong Nam"	0.10104
Demirel	0.100853
"Fernando Henrique Cardoso"	0.100716
"Yossi Sarid"	0.100712
Rifkind	0.100641
"William Perry"	0.10062
Havelange	0.100287
"Defense William Cohen"	0.100286
"Suleyman Demirel"	0.100225
"Paul Kagame"	0.100152
"Rolf Ekeus"	0.0997545
"Hubert Vedrine"	0.0994109
"Bernard Kouchner"	0.0987056
"Bashkim Fino"	0.0986074
"Goh Chok Tong"	0.098468
Surin	0.0984287
Kharrazi	0.0982398
Husseini	0.0982272
"Edmund Ho Hau Wah"	0.0982208
Granic	0.0980087
Diouf	0.0978242
Ciampi	0.097773
Aventajado	0.0976843
"Keizo Obuchi"	0.0970459
"Seamus Mallon"	0.0968703
Misuari	0.0968402
Nasser	0.0966288
"Abdurrahman Wahid"	0.0964421
Hrawi	0.0962376
"Pandeli Majko"	0.0961493
"Wu Yi"	0.0954785
Sharansky	0.0949662
Mordechai	0.0948212
Pickering	0.094797
"Abdollah Nouri"	0.0946942
Fernandes	0.0945903
McColl	0.0943476
Zuma	0.094202
"Benazir Bhutto"	0.0940998
"de Charette"	0.0940583
Al-Sabah	0.0940101
Ekeus	0.0939904
"Bill Skate"	0.0938625
Ivanov	0.0938186
Ganzouri	0.0937965
Scalfaro	0.0937166
"Lawton Chiles"	0.0936863
Verney	0.0935973
Shevardnadze	0.0934365
Dehaene	0.0934168
"Oded Eran"	0.0932238
Hybl	0.0931369
Phieu	0.0928834
"Norodom Ranariddh"	0.0928741
"Viktor Chernomyrdin"	0.092596
))
("Amo Houghton" (desc 2679.34) (sims
"Sherwood Boehlert"	0.355884
"Michael Forbes"	0.353814
"Benjamin Gilman"	0.299764
"Sue Kelly"	0.282198
"Jack Quinn"	0.278936
"Peter King"	0.260007
"Susan Molinari"	0.182989
"Connie Morella"	0.179616
"John Sweeney"	0.171921
"Rick Lazio"	0.154332
"David Dreier"	0.152528
"Tom Campbell"	0.15134
"Nancy Johnson"	0.143265
"Christopher Shays"	0.140753
"Carolyn Maloney"	0.139217
"Curt Weldon"	0.133335
"Charlie Norwood"	0.125596
"Bernard Sanders"	0.124123
"Carolyn McCarthy"	0.121473
"Mark Sanford"	0.120407
"Nita Lowey"	0.11972
"Tillie Fowler"	0.11949
"Bob Franks"	0.116524
"Greg Ganske"	0.115026
"Mark Foley"	0.111946
"Jim Kolbe"	0.111884
Ickes	0.109696
"Martin Meehan"	0.107977
Incirlik	0.103904
"Jim Leach"	0.103657
"Matt Salmon"	0.10259
"Linda Smith"	0.101758
"Dan Miller"	0.100639
"Henry Bonilla"	0.100598
"George Nethercutt"	0.100385
"Henry Waxman"	0.0989141
"Jennifer Dunn"	0.0985044
"Robert Menendez"	0.0965596
"Fred Upton"	0.0964361
"Jerrold Nadler"	0.0962348
"Marge Roukema"	0.0944074
"Christopher Cox"	0.0940711
"Alfonse D'Amato"	0.0932895
"Ron Paul"	0.0916482
"J.C. Watts"	0.0903789
"Nancy Pelosi"	0.0902737
"Steve Chabot"	0.0896007
"Patrick Kennedy"	0.0891919
R-N.Y.	0.0880719
"Steve Largent"	0.0873127
"Christopher Smith"	0.086181
"Lindsey Graham"	0.0855192
"Charles Canady"	0.0848866
"George Gekas"	0.0841543
"Charles E. Schumer"	0.0837327
"Loretta Sanchez"	0.0819343
"Charles Schumer"	0.0813088
"Billy Tauzin"	0.0808849
"Lloyd Doggett"	0.0808768
"Ed Bryant"	0.0797773
"Barney Frank"	0.0780901
"Zoe Lofgren"	0.0778467
"Charles Rangel"	0.0775452
"Sheila Jackson Lee"	0.0772907
"Porter Goss"	0.0759435
"Jim McDermott"	0.0758058
"Bill McCollum"	0.0753271
"Charles Stenholm"	0.0747941
"Mary Bono"	0.0741712
"Lamar Smith"	0.0727822
"John Conyers"	0.0727391
"Norm Dicks"	0.0722018
"Jack Kingston"	0.0716672
"Tom Coburn"	0.0698478
"Jose Serrano"	0.069568
"Bill Thomas"	0.0688802
"Don Young"	0.0680924
"Bob Barr"	0.0680287
"Jim Bunning"	0.0661815
"Maxine Waters"	0.0643235
"John Boehner"	0.0640385
"Bill Archer"	0.0638154
"John Linder"	0.0631317
"Rick White"	0.0628844
"James Sensenbrenner"	0.0627265
"William Weld"	0.0626691
"Chris Smith"	0.0610637
R-Conn.	0.060468
"James Rogan"	0.060319
"John Dingell"	0.0580225
"Eliot Spitzer"	0.0579153
"George Miller"	0.0562372
Zemin	0.0562351
"Henry Hyde"	0.0561674
"David Bonior"	0.0558067
"Dennis Vacco"	0.0557206
"Tony Coelho"	0.0546783
"Daniel Patrick Moynihan"	0.0542911
"Charles Robb"	0.0527968
"Lee Hamilton"	0.0519428
"Jim Turner"	0.0516415
Gilman	0.0514813
"Bob Smith"	0.0514252
"Richard Durbin"	0.0509318
"Dennis Hastert"	0.0505325
"Strom Thurmond"	0.0502142
"David Beasley"	0.0501125
"Marc Racicot"	0.0498167
"Connie Mack"	0.0496408
"Gary Johnson"	0.0489757
"Tom DeLay"	0.048927
"Jerry Lewis"	0.0476373
"Martin Frost"	0.0474033
"State Administration of Cultural Heritage"	0.047202
"Eastern District"	0.0468663
"George E. Pataki"	0.046549
"Asa Hutchinson"	0.046499
"Dick Armey"	0.045675
"James Jeffords"	0.0447361
"Paul Cellucci"	0.0444879
"Bob Livingston"	0.0437304
"Mike Huckabee"	0.0434723
"Craig Thomas"	0.043295
"John Lewis"	0.0431302
"Arlen Specter"	0.0428496
"Frank Lautenberg"	0.0428243
cityscapes	0.0425906
"John Chafee"	0.0425596
"Dick Durbin"	0.0420198
"Bill Owens"	0.041856
"Kay Bailey Hutchison"	0.041778
"Mark Green"	0.0414908
"Nelson Rockefeller"	0.0413761
"Christine Todd Whitman"	0.0412965
"Fred Thompson"	0.0412265
"Tom Davis"	0.0410941
"Pat Roberts"	0.04091
D-Ind.	0.0408207
"George Ryan"	0.0407958
"Richard Shelby"	0.0407409
"Gordon Smith"	0.0402402
"John Kasich"	0.0402329
"Senate Foreign Relations Committee"	0.0400593
))
(Amoco (desc 7781.48) (sims
Mobil	0.321937
ARCO	0.292351
Texaco	0.28849
Exxon	0.255764
Chevron	0.253305
"Atlantic Richfield"	0.242885
BP	0.234002
Conoco	0.232267
"Royal Dutch/Shell"	0.228012
Esso	0.224904
Agip	0.218277
"BP Amoco"	0.203102
"British Petroleum"	0.200173
UNOCAL	0.18019
"Union Carbide"	0.177893
"Atlantic Richfield Co."	0.17253
Caltex	0.170421
Statoil	0.166808
Ameritech	0.16557
"U.S. Trust"	0.164427
Petrofina	0.161679
YPF	0.158568
MCI	0.152109
GTE	0.14529
"Fred Meyer"	0.144765
TCI	0.144081
"GTE Corp."	0.14249
ascend	0.142281
"Bankers Trust"	0.138579
Elf	0.137659
Totalfina	0.137238
WorldCom	0.136107
Warner-Lambert	0.134589
BankAmerica	0.132672
"U S West"	0.13171
"Mobil Corp."	0.131257
Enron	0.130945
"Tele-Communications Inc."	0.130039
McKesson	0.129423
"Exxon Mobil"	0.129373
"Bankers Trust Corp."	0.128748
Monsanto	0.127488
Dupont	0.127106
PolyGram	0.126359
Vivendi	0.125502
Viacom	0.124493
Lukoil	0.12322
Seagram	0.123122
"US Airways"	0.12295
"Chrysler Corp."	0.122809
Pennzoil	0.122157
"ELF AQUITAINE"	0.120621
Comsat	0.120027
"Times Mirror"	0.119983
"Sprint Corp."	0.119794
"Telecom Italia"	0.119399
"Digital Equipment Corp."	0.119348
Airtouch	0.11899
ALZA	0.118569
GeoCities	0.117949
Chrysler	0.117578
Eni	0.117523
BankBoston	0.117307
Ciena	0.116288
PETROBRAS	0.116224
Mediaone	0.115966
Petronas	0.115117
"Bay Networks"	0.114332
NORTHROP	0.113868
Citicorp	0.113645
SBC	0.113575
"Learning Co."	0.113541
"Northeast Utilities"	0.113188
REPSOL	0.112572
Qwest	0.112548
RJR	0.112435
Broadcast.com	0.111079
ENTERGY	0.110982
NiSource	0.110455
"MediaOne Group"	0.110227
SmithKline	0.110198
Bestfoods	0.109545
"Time Warner"	0.109345
Starwood	0.109044
Aetna	0.108431
"Time Warner Inc."	0.107841
Orangina	0.107541
Netcom	0.106997
"Times Mirror Co."	0.10647
Mannesmann	0.106207
Fingerhut	0.105896
Norwest	0.105775
Pertamina	0.105514
Sibneft	0.105402
"Global Crossing"	0.105112
Daimler-Benz	0.104903
Unilever	0.104874
"Total Fina"	0.104792
Paribas	0.104736
GANNETT	0.104693
BofA	0.104071
"McDonnell Douglas"	0.104028
Avondale	0.103904
AMR	0.103113
Alcoa	0.10304
Honeywell	0.103031
"RJR Nabisco"	0.102995
CMGI	0.102946
"Shell Oil"	0.102615
COLTEC	0.102417
"General Electric"	0.10234
"Bell Atlantic"	0.102178
"BankBoston Corp."	0.102042
"American Home Products"	0.101966
Pemex	0.101601
EarthLink	0.101575
Daimler	0.101532
UAL	0.101023
TYCO	0.100862
VENATOR	0.100828
Humana	0.100732
"Waste Management"	0.100403
VoiceStream	0.099873
"Digital Equipment"	0.0991884
Pairgain	0.0991135
SDL	0.0990251
Motorola	0.0988281
Infoseek	0.0985011
Georgia-Pacific	0.0980456
"Deutsche Bank"	0.0980111
Broderbund	0.0977947
Nortel	0.0976471
"Reno Air"	0.0973142
Pfizer	0.0969495
Comcast	0.0969163
Astra	0.0967186
WPP	0.0964827
"Nippon Credit"	0.0961766
Seagate	0.0960802
"Ameritech Corp."	0.0959946
Weyerhaeuser	0.0957946
SkyTel	0.0956453
"MCI WorldCom"	0.0956118
"American Home"	0.0954872
"Glaxo Wellcome"	0.0954833
Volvo	0.0953839
Corning	0.0952745
"KCP&AMP;L"	0.0952445
"Deutsche Telekom"	0.0948358
BASF	0.0944501
"General Motors"	0.0940718
"Y&AMP;R"	0.0938655
MindSpring	0.0934877
BCE	0.0933666
Novartis	0.0932795
Lycos	0.0932572
Halliburton	0.0927267
Emulex	0.0924466
Shell	0.0924286
Cendant	0.0923888
Healtheon	0.0923305
"Orange PLC"	0.0922186
"Wells Fargo"	0.0921423
Coca-Cola	0.0919683
NatWest	0.0919308
"Niagara Mohawk"	0.0916708
Tropicana	0.0915895
XYLAN	0.0915582
"SBC Communications"	0.0914683
Amgen	0.0911962
"Lockheed Martin"	0.0910888
Vodafone	0.0909652
NationsBank	0.0909467
"Computer Associates"	0.0909056
Gillette	0.090744
"Philip Morris"	0.0905635
AHP	0.0903684
"Tribune Co."	0.0903603
Hasbro	0.0903256
Telefonica	0.0903169
"United Technologies"	0.0901506
Kodak	0.0900751
Litton	0.0900018
"Coca Cola"	0.0899832
Glaxo	0.0899826
Lockheed	0.0899484
Compaq	0.0898978
"Morgan Stanley"	0.0898726
DaimlerChrysler	0.0897735
Asarco	0.0897259
Albertson's	0.0894257
ExciteAtHome	0.0893979
Nokia	0.0892266
"News Corp."	0.0890765
Ericsson	0.0889469
BellSouth	0.0888091
"American Home Products Corp."	0.0886421
"Lycos Inc."	0.0885892
"WorldCom Inc."	0.0885558
REVLON	0.0883748
))
(Amor (desc 1508.93) (sims
Mundo	0.126437
que	0.122149
queso	0.113801
Toro	0.105846
Portillo	0.104562
Banda	0.101628
Coronado	0.100896
"Estados Unidos"	0.0993801
"Abidine Ben Ali"	0.093124
en	0.0878196
Villar	0.082498
Ganzouri	0.0824275
Prado	0.0808449
Norte	0.0808322
dia	0.0759592
Baz	0.0720629
Hage	0.0719425
Sol	0.0714332
Rosario	0.0711576
Lugar	0.0700849
este	0.0671707
Monte	0.0662807
Grande	0.0655643
las	0.0652387
Barrio	0.0649089
Plata	0.0644361
Sissi	0.0623687
MAS	0.0621973
espanol	0.0618021
Puente	0.0610872
Caguan	0.0610792
Guerrouj	0.0608151
Vollebaek	0.0597509
por	0.059084
"Dan Meridor"	0.0587965
Ikeda	0.0583897
Julio	0.0582956
Qureshi	0.0578859
Ingraham	0.0567819
"Claudio Reyna"	0.0566433
Bashir	0.0563471
papa	0.0561094
Rey	0.0543682
Scalfaro	0.0542816
"Mario Stanic"	0.0541817
Ponte	0.0535493
Shareh	0.0534935
Valle	0.0533332
Guterres	0.0530545
SAL	0.0521919
Piero	0.0514292
Lipponen	0.0511521
Komura	0.0509873
del	0.0509195
Narayanan	0.0506277
"Hidetoshi Nakata"	0.0500382
"Robert Prosinecki"	0.0499869
Sur	0.0496461
Tarawneh	0.0495919
Cristina	0.0488309
Mercado	0.0487375
Grachev	0.0484244
LOS	0.0483834
Rodionov	0.0480427
Constantinescu	0.0478599
"De Soto"	0.0477964
Brasil	0.0476889
Timor	0.0476041
Sheikh	0.0466629
Granada	0.0465716
"King Juan Carlos"	0.0464259
Phieu	0.0461674
Kostov	0.0458554
"Carlos Valderrama"	0.0456376
Mitnick	0.0455486
"Tab Ramos"	0.0449533
Sampaio	0.0448039
casa	0.0447097
Dar	0.0445619
LeBlanc	0.0444803
Muoi	0.044377
Kok	0.0442731
Pickering	0.0442639
Insulza	0.0441861
Carrera	0.0441623
Nacional	0.0438641
Salaam	0.0438076
Kato	0.0434574
Ti	0.0434377
Stearns	0.0433919
coco	0.0433769
Conte	0.043148
"Edgar Davids"	0.0430547
Ciampi	0.0428509
Hagi	0.0427936
Luong	0.0425424
"Goran Persson"	0.0424903
"Yossi Sarid"	0.0424607
Guerra	0.0424071
Condor	0.0423265
"Diego Simeone"	0.0418897
"Ernesto Zedillo"	0.0418796
Buzek	0.0417493
"I.K Gujral"	0.0416349
"Maung Aye"	0.0416347
Ahtisaari	0.0414927
"Sunset Strip"	0.0414829
Alma	0.0412988
"President Lee Teng-hui"	0.0412286
Nakata	0.0412176
"Minister Shlomo Ben-Ami"	0.0408747
Sahnoun	0.0408716
Vance	0.0407919
su	0.0407636
"Perez Balladares"	0.0406965
Reforma	0.0406042
"Wim Kok"	0.0405649
millon	0.0405606
Ben-Ami	0.0405232
Balaguer	0.0405196
"Zhang Wannian"	0.0404512
"Xanana Gusmao"	0.0403159
Como	0.0403143
"Khin Nyunt"	0.0401633
Wolfensohn	0.040124
))
(amortization (desc 2163.1) (sims
write-off	0.115841
write-down	0.0858971
depreciation	0.0836223
severance	0.0785641
repayment	0.0757748
servicing	0.0742748
diem	0.0721328
"working capital"	0.071501
pretax	0.0703836
"interest payment"	0.0702426
nonconference	0.0693973
postage	0.0680731
"management fee"	0.0669225
"interest expense"	0.0668686
phase-out	0.0649992
AMT	0.0627177
rescheduling	0.0616265
reimbursement	0.0607635
decompression	0.060322
alimony	0.0595627
"entrance fee"	0.0572926
"licensing fee"	0.0565805
electioneering	0.0557144
phaseout	0.0553043
Friday-Sunday	0.0529945
airfare	0.0527161
gratuity	0.0525275
overhang	0.0516475
"sick leave"	0.0511747
"market penetration"	0.0503853
"tax benefit"	0.0497624
"insurance premium"	0.0497276
mileage	0.0493674
"debt service"	0.0493533
deferral	0.0492741
revaluation	0.0492582
lowering	0.0484539
"service charge"	0.0484453
renegotiation	0.0484111
ILGO	0.0480928
January-June	0.0478921
"mortgage rate"	0.0477199
childcare	0.0470051
warranty	0.0468207
buyback	0.0465246
"cream puff"	0.0457312
drawdown	0.0457062
divestitures	0.0457044
"operating cost"	0.0456278
usurpation	0.0454096
"stamp duty"	0.0452214
"capital gain"	0.0449319
lifespan	0.044895
"minority interest"	0.0438212
"production cost"	0.0431695
instalment	0.0427965
"profit sharing"	0.0427529
GST	0.0423577
renting	0.0417218
"death benefit"	0.0416598
"marketing cost"	0.0415669
"asset sale"	0.0415026
ballooning	0.0414825
"more than @ billion dollars"	0.0413882
"Reagan Democrats"	0.0413101
upfront	0.0411082
shindig	0.0410795
withholding	0.0410381
Eurobond	0.0409949
recapitalization	0.0407443
"price competition"	0.0400644
))
(Amos (desc 3191.67) (sims
Isaiah	0.0807961
Kelsey	0.0664815
Venables	0.061946
Benny	0.0616657
Mohammad	0.0611024
Talebi	0.0576128
Jelisic	0.05746
Solis	0.0571248
Campos	0.0560225
Nickerson	0.0559742
Gilligan	0.0540412
Ohlmeyer	0.0538082
Stubbs	0.0528262
Buckingham	0.0527765
ANN	0.052515
Kurth	0.0521776
Eran	0.0519949
Galvin	0.051966
Emery	0.0518318
Musa	0.0512516
Strauss-Kahn	0.0510951
"administration official"	0.0505886
"Elyakim Rubinstein"	0.0505579
pressman	0.0503551
Jobe	0.0502404
Groening	0.0502108
McCormack	0.0498614
Tomey	0.0497872
Mahdi	0.0497441
Sawyer	0.0496399
Sherrill	0.0495145
Chadwick	0.0493776
Ciampi	0.0490904
Walesa	0.0489384
Schell	0.0487666
Lowry	0.0486411
Elijah	0.0484752
Ingraham	0.0484483
Checketts	0.0482897
Osborne	0.0482834
Paxton	0.0481305
Schmalensee	0.0481267
Hess	0.0481049
"House Budget Committee"	0.0480339
Haas	0.0477315
Hightower	0.0474513
Sims	0.0467816
Gullit	0.0466953
Reiner	0.0466679
Jeremiah	0.0466671
Demps	0.0464406
Harrell	0.046433
Asprilla	0.0463323
Borrego	0.0462344
Mathews	0.0461541
"W.C. Fields"	0.0460043
Bowden	0.0458551
Ebersol	0.0457908
GAGE	0.045741
Fuentes	0.0455767
Walden	0.0455235
Barksdale	0.0455014
Gaston	0.0454545
Joshua	0.0452133
McHugh	0.0450285
Dion	0.0448001
Tuberville	0.0447113
Hargrove	0.0444509
Arens	0.0444127
Andreychuk	0.044408
Laudrup	0.0443663
Nolan	0.0442727
Samuel	0.0442281
Hauser	0.044162
Ratner	0.0441221
Antley	0.0440651
Andres	0.0440221
Mario	0.043989
FitzPatrick	0.0439746
Sizemore	0.0437663
Patel	0.0437627
Biden	0.0437456
Moyer	0.0437218
O'Connell	0.0436357
"Cindy McCain"	0.0433529
Eubanks	0.043241
Christy	0.0432299
Alfonso	0.0431739
Ikimi	0.0431428
Futurama	0.0430743
Bly	0.0430499
Tomjanovich	0.0429698
Baugh	0.0428914
Komura	0.0428588
Meredith	0.0428505
Nasrallah	0.0428178
Rosenberg	0.0427351
Hamid	0.0426833
Imperatori	0.0426749
O'Malley	0.0425984
Knapp	0.0425753
Phil	0.0425409
"Good Housekeeping"	0.0425361
Landry	0.0424999
Modise	0.042485
McCarron	0.0424788
Cosby	0.0422641
Schuessel	0.0421616
Meeks	0.0420469
Mahoney	0.0420347
Jacobs	0.0420314
"Neil Young"	0.0419763
Teresi	0.041941
Klinsmann	0.0419125
Messier	0.0418649
LeFave	0.0418512
Fieger	0.0418292
Costello	0.0418186
McGuinness	0.0418156
Tsai	0.0417738
Lombardi	0.0417655
Roba	0.0417121
Abernathy	0.041656
Almeida	0.0416168
"Chief Executive Tung Chee-hwa"	0.0416051
Nostradamus	0.0415788
Zagallo	0.0415139
O'Donnell	0.0414824
Ince	0.0413815
McGrady	0.0411933
Blackthorne	0.0411908
Shulman	0.0411792
Sobel	0.041159
JAKES	0.0411508
"Israeli Foreign Ministry"	0.0410272
Jesse	0.0409754
Jacquet	0.0409247
Lansky	0.0409232
Skakel	0.0409008
Donahue	0.040794
Chapman	0.0405913
Murrell	0.0405845
McDaniel	0.040567
"Golden Bear"	0.040517
Maradona	0.0405084
Calhoun	0.0404802
Molinari	0.0403915
Johnny	0.0403843
Natasha	0.0403625
Finkel	0.0402913
Schultz	0.0402881
Farah	0.0402849
Fuhr	0.0402493
Oakley	0.0402305
Womack	0.0401855
Mellon	0.0401595
"Arizona Republican"	0.0401453
Sharansky	0.0401343
dale	0.0400623
Cruz	0.0400562
))
("Amos Wako" (desc 1031.93) (sims
"Elyakim Rubinstein"	0.200096
"Peter Verniero"	0.162744
"Bill Lockyer"	0.157915
Ruehe	0.14561
Yastrzhembsky	0.139672
"Eric Holder"	0.136959
Aventajado	0.136097
"John Cornyn"	0.135944
Sumaye	0.1356
"William S. Cohen"	0.134514
"Ramsey Clark"	0.133765
"Marzuki Darusman"	0.133724
Fernandes	0.127889
Shareh	0.126949
Jayakumar	0.123149
"Iranian Foreign Ministry"	0.121692
Alatas	0.120653
"de Charette"	0.119986
Azad	0.118465
Moratinos	0.118164
Demaci	0.11527
Havelange	0.114784
"Richard Blumenthal"	0.113907
Ghalib	0.113438
Kasoulides	0.113425
Wenger	0.112949
Gullit	0.112528
Velayati	0.112374
Ikimi	0.110809
al-Sahaf	0.10762
Modise	0.106726
"Home Ministry"	0.106365
Harmoko	0.105908
"British government"	0.105561
"Dennis Vacco"	0.105455
Advani	0.104302
"Orlando Mercado"	0.104097
Lamberth	0.10349
"Frederick Sumaye"	0.102388
Rifkind	0.101894
"Bill Lann Lee"	0.1015
Meguid	0.101403
Nasrallah	0.100599
Pustovoitenko	0.10021
Yazdi	0.0996521
Severino	0.0994592
"Dan Morales"	0.0993072
Tarrin	0.0991341
"Bill Skate"	0.0989842
Malu	0.0980589
"Helen Clark"	0.0980086
"Joel Klein"	0.0972074
"National Security Adviser Sandy Berger"	0.0965972
Majali	0.0959654
Abdel-Meguid	0.0955132
"Russian Defense Ministry"	0.0951888
Hamid	0.0950908
Nickerson	0.0945912
"Robert Aventajado"	0.0936093
"Secretary General Esmat Abdul-Meguid"	0.0935789
Constantinescu	0.0934586
Rodionov	0.0927989
Guei	0.0925574
Komura	0.0923666
Satcher	0.0917761
Ciampi	0.0916182
"Israeli Foreign Ministry"	0.09118
Reimer	0.0910561
Baz	0.0910522
Alarcon	0.0909913
Izetbegovic	0.0904598
Carollo	0.0903946
Sanan	0.090177
Pangalos	0.0899827
Orban	0.0898552
Shamshad	0.0897793
Yadav	0.0897463
Azizah	0.0895229
Waigel	0.0894359
Juma	0.0888273
Teresi	0.0882969
DeFrantz	0.0882793
Cem	0.0877625
Berri	0.0876341
Deuba	0.0873336
"John Bruton"	0.0872858
"Lee Hsien Loong"	0.0869143
Borodin	0.0863277
Kasyanov	0.0862884
Dodik	0.0862851
Husseini	0.086028
Lari	0.0855616
Mikhailov	0.085381
Goff	0.0850359
Shara	0.0848369
Fieger	0.0846781
Bizimungu	0.0843386
Neeman	0.0842413
Kromah	0.0841648
Venables	0.0836124
McGuinness	0.0835288
Strauss-Kahn	0.083383
"William Perry"	0.083377
Wilhelm	0.0832706
Khalil	0.0830943
Westendorp	0.0829091
Holl	0.0828042
Chevenement	0.0823292
Niyazov	0.0819694
Skuratov	0.0818596
Gurirab	0.0812455
Muoi	0.0812349
Sergeyev	0.0807378
Milo	0.0805579
Singson	0.0804665
Stoyanov	0.080233
"British Foreign Office"	0.0800504
"Turkish Foreign Ministry"	0.0798492
Grasso	0.0796497
Duisenberg	0.0795381
Galindo	0.0794335
Bakaly	0.0793779
Eizenstat	0.0792763
Rais	0.0791368
"Russian Foreign Ministry"	0.0791335
"De Klerk"	0.0790772
"Jaswant Singh"	0.0790725
Zuma	0.0789706
Tella	0.0789006
Gosper	0.0788653
Tsang	0.078834
Rawabdeh	0.0788226
"Faisal Husseini"	0.0787306
Carrera	0.0786167
Kinkel	0.0784789
Scalfaro	0.0784764
Eran	0.0783797
Akbar	0.0782959
"Speaker Ali Akbar Nateq-Nouri"	0.0781806
Bulatovic	0.0780827
Thaci	0.0780213
Manley	0.0777881
Ashrawi	0.0777682
Surin	0.0775743
Rudman	0.0774276
el-Bashir	0.0774058
Guterres	0.0766767
Boueiz	0.0766183
Kavan	0.0766102
Belo	0.0765143
"Cindy McCain"	0.0765081
"Eliot Spitzer"	0.0763564
"U.S. Defense Department"	0.075903
Kharrazi	0.0758052
Karimov	0.0757574
Tarawneh	0.0755622
"Defense William Cohen"	0.0755595
Nateq-Nouri	0.0754352
Malan	0.0753225
Maslyukov	0.0752775
Naumann	0.0752659
Shevardnadze	0.0751371
Ota	0.0749082
Koirala	0.074882
"Dan Glickman"	0.0746841
Jayasinghe	0.0746831
"Police Commission"	0.0746621
Nzo	0.0746119
"Thai Foreign Ministry"	0.0743347
"Mike Moore"	0.0742564
Patel	0.0742235
Akayev	0.0739357
Maharaj	0.0738615
Moi	0.0736701
Kern	0.0735563
Buthelezi	0.0735153
Nemtsov	0.0732802
Barshefsky	0.0731783
"John Morris"	0.0726502
Iliescu	0.0726231
Piot	0.0725865
Markovic	0.0725644
"Chief Executive Tung Chee-hwa"	0.0724276
"English Football Association"	0.0723807
Soares	0.0723613
Byers	0.0723457
"Islamic Revolutionary Guards Corps"	0.072341
Lindland	0.0719248
Ganzouri	0.0718459
SJC	0.0718316
Stroyev	0.0718292
Ghali	0.0718134
"Scott Harshbarger"	0.0716815
Marulanda	0.0715983
"Daily Nation"	0.0715961
Phieu	0.0715662
Aleman	0.0712959
Abbas	0.0708608
Mackey	0.0708237
"Kamal Kharrazi"	0.0708173
))
(amount (desc 176023) (sims
sum	0.207281
quantity	0.192907
"amount of money"	0.186081
cost	0.173024
level	0.166781
number	0.162793
value	0.160527
volume	0.151761
income	0.14909
total	0.144307
salary	0.143624
size	0.14205
increase	0.141741
price	0.141014
money	0.140944
revenue	0.138755
worth	0.137712
payment	0.136995
rate	0.136267
percentage	0.134454
dose	0.127647
expenditure	0.127528
investment	0.127339
dollar	0.126959
fee	0.126286
output	0.122533
saving	0.122025
surplus	0.121922
fund	0.119954
ratio	0.119213
supply	0.118579
debt	0.118501
figure	0.117766
portion	0.117615
earnings	0.117261
proportion	0.11697
share	0.116501
profit	0.114401
deposit	0.114394
import	0.11348
lot	0.112792
asset	0.112523
contribution	0.112233
sale	0.111882
ton	0.111788
loan	0.111667
type	0.111478
consumption	0.111427
concentration	0.111018
export	0.110321
expense	0.109867
budget	0.109452
flow	0.109054
wage	0.108862
growth	0.108297
spending	0.108173
"growth rate"	0.108079
"market value"	0.107656
reduction	0.106366
quality	0.105722
use	0.105168
kind	0.104777
billion	0.103918
"about @@ percent"	0.103845
tax	0.103742
benefit	0.103522
reserve	0.103055
donation	0.102934
allocation	0.102932
average	0.102819
estimate	0.102742
availability	0.102204
more	0.101494
deficit	0.101149
lack	0.100678
loss	0.100657
production	0.10061
inflow	0.100412
minimum	0.0999337
form	0.0989564
balance	0.0989112
GDP	0.0983847
"how much"	0.0982099
million	0.0977426
load	0.0977101
bonus	0.0971602
premium	0.0970389
shipment	0.095988
half	0.0957294
bulk	0.0954938
drop	0.0954264
risk	0.0945451
funding	0.0942278
emission	0.0939502
cash	0.0937685
capacity	0.0936977
maximum	0.0932341
chunk	0.0931681
receipt	0.0929987
resource	0.0929755
"about $@@@ million"	0.0927221
extent	0.0920798
"about $@@ million"	0.0919304
product	0.0912071
content	0.0910146
result	0.0907756
damage	0.0907701
degree	0.0906257
some	0.0904935
demand	0.0901882
"amount of time"	0.0901063
package	0.0901045
plenty	0.0900327
term	0.0898848
effect	0.0896664
accumulation	0.0896576
"about $@@@,@@@"	0.0892873
fraction	0.089065
inventory	0.0890346
distribution	0.0889581
"purchase price"	0.0886814
wealth	0.0884714
variety	0.088364
"sum of money"	0.0882188
compensation	0.0881606
limit	0.0881318
yield	0.0880946
population	0.088082
gain	0.0879723
intake	0.087858
impact	0.087799
"price tag"	0.087563
"about $@ million"	0.0874821
fine	0.0874468
"about @ percent"	0.087318
scope	0.0872152
source	0.087115
that	0.0871142
trace	0.0870168
weight	0.0862809
pay	0.0862337
much	0.0859918
proceeds	0.08571
kg	0.0857093
rise	0.08566
equivalent	0.0855998
scale	0.085207
"inflation rate"	0.0850918
purchase	0.0850741
length	0.0842307
burden	0.0840473
inflation	0.08398
combination	0.0839206
measure	0.0838714
most	0.0837307
"about $@@,@@@"	0.0836953
"interest rate"	0.083484
quota	0.0834493
bit	0.0833576
strength	0.0832178
"about $@ billion"	0.0832153
"trade deficit"	0.0831533
potential	0.0831045
decline	0.0829638
range	0.0829131
one-third	0.0824571
aid	0.0824394
frequency	0.0824334
density	0.0822536
"about $@.@ billion"	0.0822318
credit	0.0821575
transaction	0.0812403
payroll	0.0811576
subsidy	0.0810539
margin	0.0807572
item	0.0803986
interest	0.0803751
"tax revenue"	0.0803612
dlrs	0.0802793
exposure	0.0802394
stockpile	0.080115
deduction	0.0799427
return	0.079814
"budget deficit"	0.079748
requirement	0.0795862
dividend	0.0795634
change	0.0795513
shortage	0.0793993
speed	0.079287
tonne	0.0790295
cut	0.0789347
goods	0.0788341
outlay	0.0788134
account	0.0786561
standard	0.078651
capitalization	0.0785725
allowance	0.0780661
intensity	0.0779866
energy	0.0778091
material	0.0777473
))
("amount of money" (desc 28415) (sims
"sum of money"	0.204345
amount	0.186081
sum	0.185469
money	0.15528
"amount of time"	0.151686
cash	0.120138
"about $@@ million"	0.115789
"nearly $@ million"	0.113734
"nearly $@@ million"	0.113559
fund	0.112002
saving	0.110843
"about $@@@,@@@"	0.110665
"about $@ million"	0.103244
payment	0.103113
billion	0.103024
fee	0.102832
contribution	0.102593
"million dollars"	0.100404
"about $@@@ million"	0.0988938
salary	0.0968721
"about $@@,@@@"	0.0959372
funding	0.0946069
"nearly $@@@,@@@"	0.0942722
resource	0.0938246
quantity	0.0934314
subsidy	0.0931777
donation	0.0929684
income	0.0916478
wealth	0.091493
"billion dollars"	0.0907241
dollar	0.0906386
"about $@.@ million"	0.0905819
"nearly $@ billion"	0.0900228
compensation	0.0888446
"nearly $@@,@@@"	0.0881037
cost	0.0877984
million	0.0874429
investment	0.0870936
percentage	0.0862376
asset	0.0857957
"about $@ billion"	0.0853694
"hundred thousand dollars"	0.0850444
proceeds	0.0848711
loan	0.0845831
"nearly $@.@ million"	0.0844457
revenue	0.0837521
"more than @@ million yuan"	0.0835904
expenditure	0.0828073
"more than @@@ million yuan"	0.0826844
"over $@ million"	0.0823344
financing	0.0821614
bonus	0.0820616
deposit	0.0817158
expense	0.0799233
"more than @.@ billion yuan"	0.0794127
"tax revenue"	0.0791165
pension	0.0788816
"over @@ million yuan"	0.0782815
premium	0.0780658
wage	0.0779678
monies	0.0777594
credit	0.0776257
proportion	0.0776006
borrowing	0.0773812
"more than @@@,@@@ yuan"	0.0768997
tax	0.076829
allocation	0.0767651
"how much"	0.0764866
"almost $@@ million"	0.0763734
"over @@@ million yuan"	0.0760814
"nearly @@@ million yuan"	0.0760542
"three million yuan"	0.0759773
inflow	0.0758923
"more than @@ billion yuan"	0.0756241
deduction	0.0755359
liquidity	0.0754367
Manpower	0.0750831
debt	0.0746648
"nearly $@@@ million"	0.0745368
"about @@@ million yuan"	0.0744951
"about $@@ billion"	0.0744702
dividend	0.0739573
"about $@.@ billion"	0.0739049
"legal fee"	0.073864
payoff	0.073716
"tax break"	0.0735324
surplus	0.0729992
"dollar amount"	0.0723405
"tax credit"	0.0721832
outlay	0.0720706
size	0.0719409
spending	0.0718242
"two million yuan"	0.0716708
bribe	0.0713452
value	0.0711215
"almost $@ million"	0.0708921
dlrs	0.070833
allowance	0.0707185
profit	0.0703858
liability	0.0702283
minimum	0.0698181
"over @@ billion yuan"	0.0694361
"about @@@ million dollars"	0.0693928
"almost $@@@,@@@"	0.069069
portion	0.0686349
penny	0.0686157
Fortune	0.0685687
gift	0.068337
energy	0.068253
"war chest"	0.0682464
"more than @@ million dollars"	0.0681834
"one million yuan"	0.0681752
"one billion yuan"	0.0680773
damage	0.0680337
"more than one billion yuan"	0.0677979
"almost $@@@ million"	0.0677564
reserve	0.0676384
fine	0.0676149
paycheck	0.0672568
incentive	0.0671024
rebate	0.0670465
"five million yuan"	0.0669944
flow	0.066545
flexibility	0.0664232
"thousand dollars"	0.0663384
royalty	0.0661307
exposure	0.0660483
"budget deficit"	0.0657699
"six billion yuan"	0.0655048
input	0.0654846
aid	0.0651579
pittance	0.0650261
lending	0.0649962
potential	0.0644045
rent	0.0643639
"more than @@ million US dollars"	0.0642605
assistance	0.0642545
"income tax"	0.0641206
"almost $@@,@@@"	0.0640991
Tuition	0.0639656
"prize money"	0.0639457
windfall	0.0639345
"more than @@@ million US dollars"	0.063931
"about $@@@ billion"	0.063874
"wage increase"	0.0638657
"labor cost"	0.0636493
reimbursement	0.0635619
ratio	0.0635272
"down payment"	0.0635091
"about $@@@"	0.063312
volume	0.063302
reward	0.0632588
"foreign exchange"	0.0631736
"price tag"	0.0630646
maximum	0.0630166
payout	0.0630049
refund	0.0629785
clout	0.0629774
"over $@@@,@@@"	0.062912
acreage	0.0626611
buck	0.0626229
"three billion yuan"	0.062616
"U.S. Dollars"	0.0625415
"retirement benefit"	0.0625133
turnout	0.0624864
budget	0.0624703
"financial aid"	0.0622651
burden	0.0622199
receipt	0.0621547
"about $@@.@ million"	0.0620636
payroll	0.0619976
risk	0.0619772
earnings	0.0619732
frequency	0.06178
"purchase price"	0.0616617
"over $@@ million"	0.0615719
"two billion yuan"	0.061563
"four billion yuan"	0.0615613
"about $@"	0.0614777
scope	0.0614295
"hundred million dollars"	0.0613179
opportunity	0.0612796
"more than @@@ million dollars"	0.0610162
"about $@.@@ billion"	0.0606922
"about $@,@@@"	0.060488
"nest egg"	0.0600866
"about @@@ million US dollars"	0.060027
"five billion yuan"	0.0599971
stipend	0.0599856
valuation	0.0599264
purse	0.0598886
weight	0.0597353
holding	0.0596374
"one million dollars"	0.05956
"one billion dollars"	0.0594033
stake	0.0593399
"tax deduction"	0.0592968
kickback	0.0592658
"over $@ billion"	0.0591873
"almost $@ billion"	0.0591432
))
("amount of time" (desc 15736) (sims
"amount of money"	0.151686
"period of time"	0.0973003
"sum of money"	0.0934023
amount	0.0901063
sum	0.0720789
"time period"	0.0688723
Manpower	0.0683728
"free time"	0.0681948
length	0.0659853
bandwidth	0.0632928
resource	0.0632204
duration	0.0626788
flexibility	0.0625147
Hours	0.0615168
clout	0.0613338
energy	0.0603974
quantity	0.0603682
"spare time"	0.0585119
percentage	0.0554015
"long time"	0.0553058
"extra time"	0.0549404
"short time"	0.0535633
dosage	0.0526522
"more than @@ minutes"	0.0521403
frequency	0.0517411
minimum	0.0514082
Leeway	0.0512829
"management fee"	0.0512607
proportion	0.0511319
velocity	0.0501421
"annual payment"	0.0498864
"breathing space"	0.0495233
leverage	0.0494674
workload	0.0492012
exposure	0.0487845
"response time"	0.0485873
"waste of time"	0.0485135
timeframe	0.0482245
"time limit"	0.0479394
"time off"	0.047894
lifespan	0.0473091
inconvenience	0.04727
"life expectancy"	0.0472505
half-hour	0.046971
"medical care"	0.0469127
"five hours"	0.0468351
"retirement benefit"	0.0468009
"prison sentence"	0.0461846
funding	0.0461589
"storage space"	0.0459844
"tax liability"	0.0459154
downtime	0.0458607
workweek	0.0456795
"leisure time"	0.0455929
"shelf life"	0.0454085
"dollar amount"	0.0452835
"prison term"	0.045188
stamina	0.0449641
"down payment"	0.0448941
"two hours"	0.0448634
"about @@ minutes"	0.0445972
input	0.0444054
"war chest"	0.0443361
documentation	0.0440655
paperwork	0.0440636
"breathing room"	0.0439541
capability	0.0439173
expertise	0.0439154
allowance	0.0437347
expenditure	0.0436919
subsidy	0.0436595
"foreign exchange"	0.0432533
extent	0.04313
mileage	0.0430097
"pay raise"	0.042769
saving	0.0427537
margin	0.042607
concession	0.042604
likelihood	0.0425864
"medicare payment"	0.0424545
timetable	0.0423613
"three hours"	0.0422598
publicity	0.0421588
markup	0.0421437
mobility	0.0421009
stature	0.0420326
depth	0.0419267
visibility	0.0419173
allocation	0.0416967
turnout	0.0416657
scope	0.0415355
inventory	0.0415221
wage	0.0412733
patience	0.0412609
payout	0.0412544
density	0.0411831
outlay	0.0411179
"more than two hours"	0.0410282
threshold	0.0409722
liquidity	0.0408272
odds	0.0406475
"financial loss"	0.0405934
"four hours"	0.0405846
probability	0.0404952
"tax break"	0.0404601
"debt load"	0.0403091
wherewithal	0.0402338
timing	0.0402208
zeal	0.0402091
"labor cost"	0.0401459
))
(Amour (desc 2245.06) (sims
Juma	0.14856
Sumaye	0.140534
Ikimi	0.127302
Kasoulides	0.124747
Aventajado	0.12361
Mkapa	0.121908
Ruehe	0.120674
Klestil	0.120671
Masire	0.116473
Guterres	0.115837
Chissano	0.11481
Akayev	0.113073
Rifkind	0.106863
Muluzi	0.106158
Constantinescu	0.10615
Velayati	0.1057
Singson	0.105054
Nazarbayev	0.104131
Stoyanov	0.100621
Scalfaro	0.0981991
Malu	0.097001
Leghari	0.0952403
Jayakumar	0.0947379
Arens	0.094637
Bizimungu	0.0937465
Rodionov	0.0937243
Nujoma	0.0933007
Karimov	0.0928286
Kwasniewski	0.0926533
Shareh	0.0925639
Waigel	0.0922754
Tsang	0.0918818
Stroyev	0.0903105
Narayanan	0.0902376
Buyoya	0.0900894
Izetbegovic	0.0895682
Havelange	0.0893692
Vasile	0.0890085
Duisenberg	0.0887044
"de Charette"	0.0887016
Alatas	0.0881866
Insulza	0.0880654
Severino	0.0879867
Boueiz	0.0875895
"De Klerk"	0.0864867
Museveni	0.086235
Klima	0.085989
Brittan	0.0854151
Kuchma	0.085314
Niyazov	0.0852955
Meguid	0.0850777
Modise	0.0850583
Harmoko	0.0850568
Zeroual	0.0845143
Azad	0.084456
Nateq-Nouri	0.0844012
Yadav	0.0842606
Hrawi	0.0837783
Nasrallah	0.083634
"Wim Duisenberg"	0.0834329
Ciampi	0.0831682
Abdel-Meguid	0.0828671
"Lee Hsien Loong"	0.0825411
Koirala	0.0825035
Frei	0.0821423
Gurirab	0.0818727
Wolfensohn	0.0816861
Diouf	0.0816436
Zou	0.081372
Dini	0.081158
Zuma	0.080621
Fernandes	0.0806102
Demaci	0.0804814
Husseini	0.0802874
Clerides	0.0801579
Siazon	0.0801068
Majali	0.0795039
Saleh	0.0794398
Shevardnadze	0.0786012
Kesri	0.0785798
Demirel	0.0776548
Hasina	0.0773025
Tarawneh	0.0771766
Chiluba	0.0768668
Warshaw	0.0766704
Rakhmonov	0.0761526
Dodik	0.0757699
Piot	0.0755561
Ghali	0.0750329
Meles	0.0744407
"Speaker Ali Akbar Nateq-Nouri"	0.0741192
Moratinos	0.0740998
Nzo	0.0740188
"Helen Clark"	0.0739143
Gowda	0.073795
Bruton	0.0736737
Seleznyov	0.0735011
Kharrazi	0.0733999
Gujral	0.0726651
Yazdi	0.0723577
Orban	0.0719783
Ahtisaari	0.0719106
Bulatovic	0.0717301
Lissouba	0.0717153
Milutinovic	0.0716423
Rossotti	0.0716031
"Krishna Prasad Bhattarai"	0.0714997
Rafsanjani	0.0714134
Pustovoitenko	0.0709999
Marulanda	0.0708347
Cem	0.0707932
Nebiolo	0.0707434
Lari	0.0707083
"Khin Nyunt"	0.0701765
Muoi	0.0699855
Santer	0.0694442
Moscoso	0.069431
Salim	0.0693285
Boutros-Ghali	0.0692611
al-Sahaf	0.0689627
Bouteflika	0.0689463
Advani	0.0688916
Camdessus	0.0688601
Bolger	0.0687352
Phieu	0.0686672
Sergeyev	0.0686653
Shamshad	0.0686326
Pangalos	0.0686005
debauchery	0.0684271
Ota	0.0682115
Deuba	0.0681334
Chavalit	0.0680262
Sampaio	0.0680106
Erwin	0.0674959
"Chief Executive Tung Chee-hwa"	0.0674793
"Dos Santos"	0.0674588
Kumaratunga	0.0674164
Ganzouri	0.0674099
Ong	0.0673336
Bongo	0.0672438
Wahid	0.0671065
Rawabdeh	0.0670764
Moi	0.0665859
"Joao Havelange"	0.066512
Kasyanov	0.0665079
Rawlings	0.0664055
Rabbani	0.0662632
Ishihara	0.065761
Schrempp	0.065737
Khaddam	0.0656336
Axworthy	0.0653603
Kyprianou	0.0652599
Levitt	0.0652479
Krajisnik	0.0650898
Naumann	0.0646742
Bildt	0.0645984
Yastrzhembsky	0.0644704
Liang	0.0643084
Weizman	0.0642897
"Fernando Henrique Cardoso"	0.0642674
Lamberth	0.0642643
Aquino	0.0640344
Blatter	0.0638388
Soares	0.0637895
"Robert Aventajado"	0.0636927
Iliescu	0.063329
Aleman	0.0633199
Ramos	0.0631916
Shipley	0.062987
Ashrawi	0.0628911
Brundtland	0.0628275
Aziz	0.0626126
Buthelezi	0.0625423
"Wang Daohan"	0.0621935
Aguirre	0.0619966
"Midre Cummings"	0.0619912
Goh	0.0619828
Banda	0.0619823
Kaunda	0.0618832
Surin	0.0618135
Mugabe	0.0616588
"Superintendent Ruben Zacarias"	0.0616309
Hoss	0.0615871
"Megawati Soekarnoputri"	0.0615171
Denktash	0.061479
Bhattarai	0.0613905
Patasse	0.0612933
Eyadema	0.061243
"Amos Wako"	0.0610406
Okada	0.0608862
Kono	0.0607513
"Ricardo Alarcon"	0.0606994
Luo	0.0606957
Khamenei	0.0605104
Cardoso	0.060475
"Jacques Santer"	0.0603243
Sharma	0.0603052
Qiao	0.0601914
"Natural Born Killers"	0.0601368
Erbakan	0.0600926
))
(AMP (desc 8104.29) (sims
"Fletcher Energy"	0.290594
"Fletcher Paper"	0.265691
"Carter Holt Harvey"	0.263442
"Contact Energy"	0.251103
"Auckland Airport"	0.246165
"Lion Nathan"	0.232537
"Brierley Investments"	0.209944
"Fletcher Forest"	0.209196
Telstra	0.207205
"Fletcher Building"	0.206609
"Fletcher Forests"	0.199284
"Rio Tinto"	0.194375
BHP	0.193206
"Air New Zealand"	0.184695
"Sky TV"	0.176198
"Brierley Investment"	0.174883
Westpac	0.172023
Telecom	0.170591
Aegon	0.17013
"Commonwealth Bank"	0.164752
"Commonwealth Bank of Australia"	0.152535
ANZ	0.151599
"National Australia Bank"	0.148697
ALZA	0.141941
"Thermo Electron"	0.137952
NAB	0.136206
"U.S. Trust"	0.133212
"News Corp"	0.131626
Warner-Lambert	0.130549
Bestfoods	0.130045
Ciena	0.127535
WMC	0.127284
Emulex	0.125434
NatWest	0.12531
UAL	0.124381
RJR	0.124103
PLDT	0.123346
Mannesmann	0.1222
Sunbeam	0.121983
Totalfina	0.120671
COLTEC	0.12034
McKesson	0.120331
Allianz	0.119043
SPH	0.11876
Alcoa	0.112431
"Wireless Optus"	0.112317
Honeywell	0.112067
YPF	0.111896
"Union Carbide"	0.111843
"Learning Co."	0.111334
SmithKline	0.110404
NiSource	0.107357
VENATOR	0.107325
"American International Group"	0.106849
Generali	0.105933
Seagate	0.105525
"JDS Uniphase"	0.105405
Biogen	0.104658
ENTREMED	0.104649
AXA	0.104523
"Computer Associates"	0.104483
XYLAN	0.104246
Aetna	0.104238
"Allied Signal"	0.103654
Asarco	0.103599
"HSBC Holdings"	0.103465
ascend	0.102741
ARCO	0.102308
"preferred shares"	0.102159
"P&AMP;G"	0.101946
TYCO	0.101827
"Times Mirror"	0.101791
Mediaone	0.101741
"Eli Lilly"	0.101055
"GE Life"	0.101039
Genentech	0.100918
"HBO &AMP; Co."	0.100297
Dupont	0.100166
"Straits Times Index"	0.098466
"News Corp."	0.0984449
Telefonica	0.0983258
"City Development"	0.0968982
"Nippon Credit"	0.0967825
warrant@@	0.0964492
"Xetra Dax"	0.096067
Comsat	0.0958873
Qualcomm	0.0958619
Broadcom	0.0954869
Fingerhut	0.0954441
RAMBUS	0.0954415
Hoechst	0.0952351
MiniMed	0.0950516
Seagram	0.0945084
"Telecom Italia"	0.0943996
Warnaco	0.0941983
Nabisco	0.0940874
"Glaxo Wellcome"	0.0939359
TELLABS	0.0936964
Sibneft	0.0934315
Amgen	0.0933908
Pfizer	0.0932377
Schlumberger	0.0926739
"U S West"	0.0924863
Olivetti	0.0924575
"True North"	0.0924386
"Creative @@"	0.0923225
Petrofina	0.0920288
"Industrial Index"	0.0919947
"Nikkei Stock Average"	0.0919587
Nortel	0.091831
Lilco	0.0917426
Merck	0.0915288
TCI	0.0914212
"BP Amoco"	0.0914003
Litton	0.0909577
Mobil	0.0908452
Qwest	0.0906594
Citigroup	0.090635
Genzyme	0.0901906
Broadcast.com	0.0901841
Livent	0.089831
"RJR Nabisco"	0.0896263
SkyTel	0.0891937
Cendant	0.0891626
"Bausch &AMP; Lomb"	0.0891548
PacCent	0.0891433
Lycos	0.0891223
Hewlett-Packard	0.0890405
Agilent	0.0884456
EMC	0.0882878
Gillette	0.0881433
Astra	0.0874149
"Bay Networks"	0.0872799
BankAmerica	0.0871156
"Travelers Group"	0.0870028
Nextel	0.0869851
"Johnson &AMP; Johnson"	0.0868616
"Gap Inc."	0.0867867
"Aetna Inc."	0.0866326
"American Home"	0.0862085
AMR	0.0860251
Glaxo	0.0857892
"Straits Times Industrials Index"	0.0857458
"Deutsche Telekom"	0.0857411
Halliburton	0.0856225
CMGI	0.0850982
"Advanced Micro"	0.0843732
"Bank of Scotland"	0.0842984
BankBoston	0.0842607
Broderbund	0.0840248
Delphi	0.0839523
Unilever	0.0837692
GANNETT	0.0837043
Infoseek	0.0835345
Texaco	0.0833351
Corel	0.0832465
Conseco	0.0829165
"Bankers Trust"	0.0827248
Mattel	0.0824574
Viacom	0.0824523
SDL	0.0824415
"Y&AMP;R"	0.0823976
"International Paper"	0.0822217
Vodafone	0.0821729
"Atlantic Richfield"	0.0821648
Humana	0.0820741
BCE	0.0820548
GTE	0.0820453
WPP	0.082042
Cerent	0.0820374
Paribas	0.0819448
IPC	0.0819071
Daimler	0.0817599
"SPH @@@"	0.0817409
Starwood	0.0816268
Barclays	0.0815933
CRA	0.0815844
"Phelps Dodge"	0.0814663
"Waste Management"	0.0813485
Airtouch	0.0811948
Healtheon	0.0811851
"Fred Meyer"	0.0811312
sub-index	0.0810967
SingTel	0.0810778
"Rite Aid"	0.0809519
AutoNation	0.0809261
CCE	0.0808476
"Societe Generale"	0.0807438
NORTHROP	0.0807326
LTCB	0.0807121
"Niagara Mohawk"	0.0807011
Lilly	0.0802933
Eurotunnel	0.0801042
"Time Warner"	0.080062
UBS	0.0798788
Tenneco	0.0798389
ExciteAtHome	0.079749
Alcan	0.0793713
scrip	0.0793277
"Air Canada"	0.0792165
))
(amphetamine (desc 9190.36) (sims
methamphetamine	0.325097
LSD	0.264601
heroin	0.230327
ecstasy	0.22656
ephedrine	0.224499
methamphetamines	0.221714
opiate	0.22116
cocaine	0.216586
morphine	0.19257
stimulant	0.188329
opium	0.186236
cannabis	0.185481
MDMA	0.185168
marijuana	0.184102
hashish	0.183455
narcotic	0.174344
Valium	0.171434
steroid	0.15595
pseudoephedrine	0.147541
"hard drug"	0.137157
ketamine	0.135226
GHB	0.133465
meth	0.131705
nicotine	0.131689
caffeine	0.131438
nevirapine	0.126229
alcohol	0.123683
painkiller	0.123586
drug	0.120897
Ritalin	0.120858
EPO	0.118851
Erythropoietin	0.116762
sedative	0.109774
diuretic	0.106341
tranquilizer	0.105945
tablet	0.105555
anti-inflammatory	0.104723
aspirin	0.102158
testosterone	0.0998777
AZT	0.0997556
melatonin	0.0991741
"human growth hormone"	0.098828
"designer drug"	0.0985588
methadone	0.0983624
nitroglycerin	0.0983092
hormone	0.0978162
"growth hormone"	0.0961777
"opium poppy"	0.0943772
ephedra	0.0942148
placebo	0.0930159
interferon	0.0925659
substance	0.0907219
androstenedione	0.0899876
tamoxifen	0.0898204
CFCs	0.0886967
Zoloft	0.0880136
booze	0.087224
clenbuterol	0.0868097
thalidomide	0.0864815
viagra	0.0846993
ENBREL	0.0837437
andro	0.0835005
antihistamine	0.0830272
Endostatin	0.0819301
Phentermine	0.081828
Prozac	0.0816888
Celebrex	0.0806948
estrogen	0.0798149
pill	0.0794232
antibiotic	0.0794124
LIPITOR	0.0785565
coca	0.0781885
penicillin	0.0774613
contraband	0.0769263
explosive	0.0743687
"folic acid"	0.0740543
"alcoholic beverage"	0.0736855
"nerve gas"	0.0732081
vitamin	0.0730447
"chemical compound"	0.0725079
chemical	0.0719951
chloride	0.0715224
tobacco	0.0714812
"vitamin E"	0.0714046
Rezulin	0.0692289
RU-@@@	0.0686572
chlorine	0.0686035
cyanide	0.0681925
paraphernalia	0.0681862
acid	0.0681466
hemp	0.0681293
derivative	0.0675364
Xenical	0.0671755
nandrolone	0.0669679
laxative	0.0666726
Tylenol	0.0663051
leptin	0.0660981
medication	0.0658994
insecticide	0.0656611
firearm	0.0656077
"sex hormone"	0.0654929
creatine	0.0653722
Herceptin	0.0652504
insulin	0.0650605
"poison gas"	0.0646374
poison	0.0644196
pesticide	0.0643605
contraceptive	0.0641837
antioxidant	0.0635898
hGH	0.0632791
resin	0.0630189
mifepristone	0.0620734
inhibitor	0.062006
"vitamin C"	0.0619314
ether	0.0610966
liquor	0.0608615
Propulsid	0.060815
khat	0.0605123
stanozolol	0.0602128
prostitution	0.0601618
Avonex	0.0599918
cortisone	0.0599401
uranium	0.0597537
fertilizer	0.0594761
LNG	0.0593353
solvent	0.0591148
TPA	0.0588907
urea	0.0585862
antibody	0.0582338
"vitamin A"	0.0580781
gemstone	0.0580748
hydrocarbon	0.0579534
"chemical agent"	0.0577907
bhang	0.0577541
"prescription drug"	0.057661
plutonium	0.0574779
enzyme	0.0572869
protein	0.0572789
"high explosive"	0.0565467
"nitrous oxide"	0.0565298
trafficking	0.0564841
benzene	0.0560991
poppy	0.0558906
weight-loss	0.055615
Claritin	0.0551449
heroine	0.0550502
"alcohol abuse"	0.0547904
acetaminophen	0.0546527
methanol	0.0546222
"vitamin D"	0.0545967
telomerase	0.0545774
Epogen	0.0544084
Sarin	0.0543973
sugar	0.0542377
petroleum	0.0542067
enhancers	0.0539997
ethanol	0.0537565
Relenza	0.053706
"building material"	0.053479
kava	0.0533291
marihuana	0.0532849
cellulose	0.0532575
munition	0.052617
nitrate	0.0526129
inhaler	0.0524128
iodine	0.0523912
anesthetic	0.0523722
cigarette	0.0523377
"one kilogram"	0.0515603
olestra	0.0514642
pharmaceutical	0.0513537
pornography	0.05055
Prilosec	0.0504845
phosphate	0.0504785
"essential oil"	0.0504668
"memory chip"	0.0500698
asbestos	0.0498344
Taxol	0.0497472
dynamite	0.0496516
"consumer goods"	0.049269
Vaccine	0.0492386
"citric acid"	0.0490116
diamond	0.0490073
"plastic explosive"	0.0489297
VCD	0.0488839
Redux	0.0485287
"electrical device"	0.0484595
powder	0.0483306
adenovirus	0.0483123
glucose	0.0481437
barter	0.0478971
"green tea"	0.0477892
"black tea"	0.0474226
herb	0.0473383
Fen-Phen	0.0472208
dioxin	0.0470146
lysine	0.0469977
"mineral water"	0.0469882
"ammonium nitrate"	0.0469323
newsprint	0.046772
))
(amphibian (desc 3379.26) (sims
invertebrate	0.160591
mammal	0.158493
reptile	0.15811
mollusk	0.143548
turtle	0.132121
vertebrate	0.127339
insect	0.126142
crustacean	0.122893
seabird	0.115448
"flowering plant"	0.11515
"sea bird"	0.111581
"marine animal"	0.110694
"sea turtle"	0.108964
lizard	0.105964
rodent	0.105821
dragonfly	0.10266
sturgeon	0.102509
"freshwater fish"	0.0991356
salamander	0.0947771
frog	0.0939415
waterfowl	0.0936053
"coho salmon"	0.0901254
toad	0.0891024
wildlife	0.0878093
beetle	0.0876584
fauna	0.0860248
Dinosaur	0.0848502
Primate	0.0845618
snake	0.0824796
porpoise	0.0810518
fungi	0.0805705
fowl	0.080352
hummingbird	0.0800895
critters	0.0785585
shellfish	0.0785106
gerbil	0.0777196
genus	0.0775591
coral	0.0754857
plankton	0.0752402
"sea otter"	0.0751039
butterfly	0.0746576
snail	0.0743595
albatross	0.0738277
mosquito	0.0729661
deer	0.0729089
crocodile	0.0718714
owl	0.0715068
woodpecker	0.0712523
"rare bird"	0.0706036
creature	0.0695266
rabbit	0.0695242
beast	0.0692185
egret	0.068663
whale	0.0686469
"domestic animal"	0.0674511
"prairie dog"	0.0673091
"bighorn sheep"	0.0671428
antelope	0.0669015
"sea horse"	0.0668364
lemur	0.0667753
"giant panda"	0.0666991
"plant life"	0.0661184
alligator	0.065925
fossil	0.0646965
cormorant	0.0639579
mice	0.0633643
squirrel	0.0629928
rhino	0.0628478
crab	0.0626439
"coral reef"	0.0624353
ape	0.0620467
eel	0.061652
monkey	0.061484
"red deer"	0.0612575
bee	0.0612494
Gibbon	0.0608015
panda	0.0598841
orangutan	0.059829
Magneto	0.0597175
triathletes	0.0590256
wildflower	0.0589667
organism	0.0588438
ant	0.0588166
malignancy	0.0585628
tortoise	0.0577078
armadillo	0.0573691
moth	0.0571937
otter	0.057169
trout	0.057081
"black bear"	0.0570284
iguana	0.0569895
orchid	0.0566631
seaweed	0.0565829
rhinoceros	0.056456
carp	0.0564126
vermin	0.056226
"mountain gorilla"	0.0562097
warbler	0.0560984
termite	0.0560013
WASP	0.0559906
"farm animal"	0.055942
swan	0.0558805
grub	0.055308
locust	0.0548032
accoutrement	0.0546117
"Homo sapiens"	0.0541422
chimpanzee	0.0541116
spider	0.0540148
"sea gull"	0.0536159
prawn	0.0533821
moron	0.053285
"subatomic particle"	0.0532331
sparrow	0.0529008
Rubenstein	0.0525488
"transport ship"	0.0524691
mite	0.0515894
"right whale"	0.0515806
"living thing"	0.0514187
"water plant"	0.0513993
Milkweed	0.0511833
extraterrestrial	0.0511197
grasshopper	0.0511067
vegetation	0.0509989
bacteria	0.0509035
microorganism	0.0505383
impatiens	0.0503359
scorpion	0.0497842
algae	0.0495554
hominid	0.0494096
coho	0.0490579
mussel	0.0488805
sponge	0.0488057
frogs	0.0483579
piggy	0.0480507
manatee	0.0477954
worm	0.0473289
nematode	0.0471652
flora	0.0471344
Copt	0.0469458
"cut of meat"	0.0469308
Lichen	0.0469227
"grocery bag"	0.0466478
Condor	0.0465608
beings	0.0463181
snowmobilers	0.0462575
parrot	0.0462138
fern	0.046151
microbe	0.0460754
Athenian	0.0455122
fawn	0.0454111
fungus	0.0453372
raccoon	0.0453007
"sea lion"	0.0453006
"blue crab"	0.0452762
lark	0.0450368
larvae	0.045016
aphid	0.0448917
asteroid	0.0447311
goldenrod	0.0445539
"gray wolf"	0.0442283
stingray	0.0441154
hatchlings	0.044105
tarpon	0.0438792
"Bengal tiger"	0.0438161
acquirer	0.043816
"soya bean"	0.0432113
"electrical device"	0.0431547
"African elephant"	0.0429626
"sea urchin"	0.0426252
"Cessna @@@"	0.0425347
"life form"	0.0423748
boar	0.0423076
geese	0.0421909
Lice	0.0421425
parasite	0.0420663
pathogen	0.0420568
"bald eagle"	0.0419424
"coca crop"	0.0419056
ecosystem	0.0418286
bacterium	0.0417238
"body of water"	0.0416402
parakeet	0.0414974
pest	0.0414819
telecommuters	0.0414403
gull	0.0413445
crabs	0.0412219
oxen	0.0411813
weevil	0.041176
Pelican	0.0411588
goldfish	0.0411301
caribou	0.0408903
elk	0.0404877
sleuth	0.0402759
"amino acid"	0.0400181
))
(amphitheater (desc 8849.98) (sims
auditorium	0.131083
"concert hall"	0.118472
plaza	0.106056
"picnic area"	0.0967623
chapel	0.0951106
"civic center"	0.0931839
"football stadium"	0.0916904
gymnasium	0.0894047
ballroom	0.0878712
courtyard	0.0863441
theater	0.0851061
"opera house"	0.0850815
pavilion	0.083802
hall	0.0827649
"botanical garden"	0.078084
Cathedral	0.0777385
"domed stadium"	0.0759707
"movie theater"	0.0752899
gazebo	0.0745895
"shopping mall"	0.0744002
"skating rink"	0.072647
square	0.0722878
monument	0.0720818
cafe	0.0717261
sarcophagus	0.0709758
arena	0.0709136
venue	0.0708031
garden	0.0700091
mosque	0.0698524
"community center"	0.0692731
"dining area"	0.069262
"conference center"	0.0692509
"ice rink"	0.0691428
tavern	0.0690433
sanctuary	0.0685253
"shopping center"	0.0680305
"Great Hall"	0.0671058
"exhibition hall"	0.0660395
Tabernacle	0.0659529
cafeteria	0.0652107
terrace	0.0650779
Fort	0.0649851
"art gallery"	0.0649093
gallery	0.0648934
"Convention Center"	0.0642153
"sports arena"	0.0641258
synagogue	0.0638151
"assembly hall"	0.0634904
fortress	0.0633887
mall	0.0632329
atrium	0.0629251
patio	0.0623925
temple	0.0620781
palace	0.0617162
cemetery	0.0615546
Chateau	0.0614586
fountain	0.0613011
"swimming pool"	0.0605332
"subway station"	0.0601023
"golf course"	0.0600257
berm	0.0596288
shrine	0.0591174
Tower	0.0590762
"dining room"	0.059024
Colosseum	0.0588929
Villa	0.0586932
mausoleum	0.0585385
pagoda	0.0581092
Grandstand	0.0578839
"conference room"	0.0574242
"recreational facility"	0.0573502
promenade	0.0570004
"parking lot"	0.0569293
"amusement park"	0.0566929
"office building"	0.0563295
knoll	0.0563045
Bathhouse	0.0562737
tent	0.0561739
gymnasiums	0.0560752
"movie house"	0.0560009
spas	0.055965
"tennis court"	0.0558928
nave	0.0558071
"Symphony Hall"	0.0556953
"entertainment center"	0.0552722
statuary	0.0551125
"dining table"	0.0548401
mansion	0.0544876
edifice	0.0544488
pier	0.0541954
courthouse	0.0536964
"Jack Kent Cooke Stadium"	0.0535924
cinema	0.0533331
Monastery	0.0530875
walkway	0.0527398
"science museum"	0.0527212
statue	0.0525885
campgrounds	0.0522447
aquarium	0.0521437
gym	0.0519515
Ellipse	0.0515453
Coliseum	0.0515147
boulevard	0.0511622
playground	0.0511098
dormitory	0.0510461
"traffic circle"	0.051037
nightclub	0.0506459
stalls	0.0505135
enclosure	0.0504512
pond	0.0504402
"dance hall"	0.050413
"MCI Center"	0.0503106
hangar	0.0502225
"Lincoln Memorial"	0.0502081
"town hall"	0.0500834
"Giants Stadium"	0.0500603
armory	0.0500534
"funeral home"	0.0500447
showroom	0.0499736
Castle	0.0498398
altar	0.0498234
grotto	0.0498003
"supper club"	0.0496374
Aqueduct	0.0495815
Obelisk	0.049302
greenhouse	0.0490763
mezzanine	0.0490238
"upper deck"	0.0487809
"post office"	0.0487473
"athletic field"	0.0482201
dock	0.0481571
Dome	0.0481369
"fire station"	0.0481319
moat	0.0481316
shack	0.048071
"theme park"	0.0478611
garage	0.0478534
Ballpark	0.0477692
Basilica	0.047367
"industrial park"	0.0473492
multiplex	0.0472585
pyramid	0.0472494
jetty	0.0471118
"bowling alley"	0.0470777
seating	0.0470497
inn	0.0469365
"railway station"	0.0469167
"Carnegie Hall"	0.0468492
conservatory	0.0468201
balcony	0.0468183
memorial	0.0467539
"National Stadium"	0.0466485
watchtower	0.0466294
Marina	0.0465106
"Olympic Stadium"	0.0464304
teahouse	0.0463757
Stairway	0.0459903
"exhibition area"	0.0459447
waterfall	0.0459202
"Forbidden City"	0.0459169
"Miami Arena"	0.0458399
"office space"	0.0457774
"wine cellar"	0.0457008
"apartment building"	0.0456217
"Madison Square Garden"	0.045468
Warehouse	0.0453867
rotunda	0.0452124
intersection	0.0450052
landmark	0.0450048
"flea market"	0.0448094
"town house"	0.0447531
"sitting room"	0.0446559
Palazzo	0.0445848
sidewalk	0.044575
"living room"	0.0445704
"train station"	0.0445371
stadia	0.0443924
condominium	0.0443379
lagoon	0.0440659
corridor	0.0440516
"West Lake"	0.0440091
tomb	0.0440022
townhouses	0.0439741
alcove	0.0439716
airstrip	0.0437542
bookstore	0.0437163
"burial ground"	0.0436878
roadway	0.043604
"suspension bridge"	0.0435435
headstone	0.0435394
"Shrine Auditorium"	0.0434759
semicircle	0.0434
Superdome	0.0433394
"Great Wall"	0.043308
meadow	0.0432271
courtroom	0.0432075
"gift shop"	0.0431924
Parthenon	0.0430339
kiln	0.042967
barrack	0.0428169
))
(amplification (desc 2380.46) (sims
filtering	0.0862362
Filtration	0.079022
pasteurization	0.0769861
decontamination	0.0727814
triangulation	0.0708165
calibration	0.070092
cushioning	0.0673519
watering	0.0651584
E-ZPass	0.0650687
suction	0.0643604
exertion	0.0637788
videophone	0.0620008
sensing	0.0610128
"electric current"	0.0604105
"public transit"	0.0587925
decoding	0.0585719
"emergency exit"	0.058174
BLUETOOTH	0.0581256
clotting	0.0576038
pruning	0.0575274
"detective work"	0.0570994
phonics	0.0566659
"head count"	0.0563866
fingerprinting	0.0561777
"fishing license"	0.0559972
electioneering	0.0552784
"tax avoidance"	0.0549936
inhaler	0.0544173
corroboration	0.0540174
transfusion	0.0539996
"electronic communication"	0.0539497
"crazy quilt"	0.0526186
bookkeeping	0.0524391
grading	0.0523816
tabulation	0.0521778
validation	0.0515841
"rocket fuel"	0.0514716
editing	0.0512616
hand-holding	0.0510526
retraction	0.0509391
embellishment	0.0502469
signaling	0.0499984
barbell	0.0499618
"nursing care"	0.0499154
"ultraviolet light"	0.0497991
"breathing space"	0.0497212
earplugs	0.0494686
TMD	0.0493035
timbre	0.0491034
branding	0.0487581
clarification	0.0486783
Auger	0.048527
vibration	0.0481827
winnowing	0.0481612
synchronization	0.0479004
"solar power"	0.0477346
verification	0.0474271
aggregation	0.0473601
diversification	0.047304
containment	0.0470898
notary	0.0470821
firewalls	0.0468592
wattage	0.0467784
connectivity	0.0467483
sonar	0.0466921
eavesdropper	0.0466629
"bond trading"	0.0466487
"fire alarm"	0.0465832
elaboration	0.0464372
penetration	0.0463855
conveyor	0.0463383
explication	0.0462485
stanchion	0.0461324
"voting machine"	0.046008
enumeration	0.0459595
"extension cord"	0.0458897
"artificial heart"	0.04576
"market maker"	0.0457261
directness	0.0456427
XML	0.0454516
BoT	0.045267
WebTV	0.045186
sterilization	0.0451387
duplication	0.0451353
arm-twisting	0.0449658
"caller ID"	0.0448624
abacus	0.0448275
preponderance	0.0448171
mitigation	0.0447197
stimulation	0.0446981
conscription	0.0446742
"physical therapy"	0.0445931
debit	0.0444677
"morse code"	0.0443744
fillip	0.0443585
escrow	0.044276
FireWire	0.0442072
spreader	0.0441879
compression	0.0441817
forfeiture	0.0441291
identifier	0.0439363
"sense of direction"	0.0438867
carnivore	0.0437132
"weather forecasting"	0.0435752
fallback	0.0435611
fragmentation	0.0434251
diffusion	0.0433012
"bank card"	0.0431778
crosswind	0.043036
personalization	0.042972
headcount	0.0429415
tuner	0.0429147
stent	0.0428742
"Windows CE"	0.0427832
authentication	0.0427519
cross-pollination	0.0427349
"safety feature"	0.0427299
propulsion	0.0427013
annotation	0.0426702
"incentive program"	0.0426618
realignment	0.0424775
divestment	0.042399
ballast	0.0423681
avionics	0.042322
"breathing room"	0.0423137
distinctiveness	0.0421628
armoire	0.0419023
vibrato	0.0418846
mixing	0.0418703
multiplication	0.0418422
"data processing"	0.0417994
"work permit"	0.0417537
GSM	0.0417323
pollination	0.0416868
"coat of paint"	0.0416863
multiplicity	0.0416788
telomerase	0.0413969
endoscope	0.0413611
verisimilitude	0.0413557
oomph	0.0412855
shredders	0.041268
"financial gain"	0.0412383
"suspension system"	0.0412144
"three pitchers"	0.0411029
"bank withdrawal"	0.0410395
ISO@@@@	0.0410336
generics	0.0409547
"beam of light"	0.0409127
"commercial activity"	0.0408794
"truck sale"	0.0408728
browsing	0.040834
"transfer payment"	0.0406987
SCSI	0.0406947
optic	0.0406663
divestitures	0.0406638
"wireless telephone"	0.0405969
GPS	0.0405285
hyperlinks	0.0405071
playback	0.0402345
"absolute majority"	0.0402288
bigness	0.0401403
skylight	0.0401003
"competitive advantage"	0.0400471
))
(amplifier (desc 5006.83) (sims
earphone	0.134633
tuner	0.111628
"CD player"	0.108228
transmitter	0.104746
"audio system"	0.104119
"sound system"	0.0988831
sensor	0.0972055
connector	0.0971454
"speaker system"	0.0926522
"disk drive"	0.0892014
stereo	0.0888475
VCR	0.0881961
earpiece	0.0881226
"storage device"	0.0877811
workstation	0.0872054
notepad	0.0864206
"cassette player"	0.0848318
router	0.0839817
antenna	0.080506
"electric motor"	0.0802967
adapter	0.0793
converter	0.0789345
"tape recorder"	0.0787692
compressor	0.0786728
jacks	0.0759172
synthesizers	0.0750853
camcorders	0.0733669
infrared	0.07322
turbine	0.0729826
decoder	0.0729416
heater	0.072777
"memory chip"	0.0712544
motor	0.0712193
Projector	0.070758
scanner	0.0706781
battery	0.0704457
printer	0.0704454
"trunk line"	0.0703376
pacemaker	0.0698232
"fiber optics"	0.0698103
"X-ray machine"	0.0696036
"water filter"	0.0689626
"diesel engine"	0.068918
motherboards	0.0685432
headphone	0.0684764
"communications equipment"	0.0678011
audio	0.0672917
processor	0.0670084
modem	0.066369
"fuel cell"	0.0653365
"communication system"	0.0652258
generator	0.0647409
pager	0.0647048
copier	0.0646047
circuitry	0.0644014
transformer	0.0642878
"stereo system"	0.0637475
"television set"	0.0633235
"electronic device"	0.0631323
"electronic equipment"	0.0623414
"integrated circuit"	0.0623348
"color television"	0.0617969
finder	0.0617622
microprocessor	0.0613699
"optical fiber"	0.0610205
"rocket fuel"	0.0610096
"computer equipment"	0.0607253
"electric fan"	0.0606466
microphone	0.0603714
subwoofer	0.0602134
"tv set"	0.060199
"household appliance"	0.0598616
recorder	0.0598469
afterburner	0.0596372
appliance	0.0589304
gadgetry	0.0588241
console	0.0585221
al-Hariri	0.0584079
"telephone set"	0.0582691
"car seat"	0.0580228
filtering	0.0580216
semiconductor	0.0579446
"personal computer"	0.0578869
pylon	0.0576549
ventilator	0.0575585
peripheral	0.0572729
handset	0.0571787
"water heater"	0.0570164
"home appliance"	0.0570152
synthesizer	0.0565092
"communications technology"	0.0563379
keyboard	0.0562855
capacitor	0.056226
"hand tool"	0.0561974
"phone system"	0.0561232
"Sheldon Silver"	0.0560289
timepiece	0.055972
"jet engine"	0.0558695
metronome	0.055316
AMP	0.0550487
"desktop computer"	0.0550413
"circuit board"	0.0547023
"videocassette recorder"	0.0546706
"computer hardware"	0.0546473
microchip	0.0544585
laser	0.0538966
"cassette recorder"	0.0535781
minicomputer	0.0533478
conditioner	0.0532765
"consumer electronics"	0.0531599
"light bulb"	0.0531372
calculator	0.0528298
"water pump"	0.052406
joystick	0.0522782
"mainframe computer"	0.0521788
"point system"	0.0521312
"hand-held computer"	0.0520828
optic	0.0519284
electronics	0.0518999
imaging	0.051897
headset	0.05152
"communications network"	0.0514216
"vacuum cleaner"	0.0513791
gyroscope	0.0513485
"dollar amount"	0.0513268
"rocket engine"	0.0511839
"power unit"	0.0511713
valve	0.0510827
"alarm system"	0.0510067
"hearing aid"	0.0506887
endoscope	0.0505542
sunroof	0.0504517
air-conditioner	0.0504273
supercomputers	0.0502738
cookware	0.0502384
accessory	0.0501712
"radio transmitter"	0.0500566
"surveillance system"	0.0500034
networking	0.0499483
"sewing machine"	0.0499387
gadget	0.0499083
"voting machine"	0.049869
wiring	0.0492478
"cellular telephone"	0.0491136
"safety feature"	0.0490809
Sax	0.0490262
purifier	0.0488441
"sound effect"	0.0488425
"sliding door"	0.0488264
"laptop computer"	0.0487055
shredders	0.0485162
"Windows Media Player"	0.0484537
washer	0.048422
"distribution network"	0.0482647
sprayer	0.0482391
"suspension system"	0.0481126
"air filter"	0.0479318
accoutrement	0.0479205
transistor	0.0478833
"power tool"	0.0478399
lamp	0.0477923
"hard disk"	0.0477905
joysticks	0.0477883
pantyhose	0.0476616
"software package"	0.0476303
"acoustic guitar"	0.0474561
stylus	0.047309
microwave	0.0471049
Lighting	0.0470548
"control system"	0.0468989
"fountain pen"	0.0467389
RealPlayer	0.0467256
"voting system"	0.0465558
"scientific instrument"	0.0465382
inhaler	0.0464732
"specialty chemical"	0.0464443
blender	0.0463915
"gas turbine"	0.0463458
Powerbook	0.0463456
camcorder	0.0462128
pagers	0.0460243
thermostat	0.0457957
turntable	0.0456539
ADSL	0.0456462
"microwave oven"	0.0456401
generics	0.0455835
Webcam	0.0453647
furnishings	0.0452907
typewriter	0.0452564
"shock therapy"	0.045255
module	0.045085
postmark	0.0449485
overdraft	0.0448999
winch	0.0448949
videophone	0.0448294
microscope	0.0448251
suture	0.0448248
oreo	0.0448205
"software product"	0.0448092
"exercise equipment"	0.0447589
))
(amplitude (desc 1958.52) (sims
directness	0.0578117
immediacy	0.0546252
"body temperature"	0.054381
thickness	0.0524235
overabundance	0.0518834
musicianship	0.0488469
"piece of work"	0.0487912
undertow	0.0481113
"flow rate"	0.0480382
coloring	0.0476535
articulation	0.047341
salinity	0.0470286
voltage	0.0453914
resonance	0.0447032
"air pressure"	0.0443663
intricacy	0.0439172
repast	0.043789
dosage	0.0437386
lyricism	0.0435152
"poverty rate"	0.0422302
"ultraviolet light"	0.0418652
bleakness	0.0417387
heft	0.0416043
"case history"	0.0412378
sonority	0.0409363
lightness	0.0409327
inflection	0.0400407
))
(amputation (desc 5356.37) (sims
mutilation	0.15684
maiming	0.141801
castration	0.102973
disfigurement	0.094746
paralysis	0.0905074
molestation	0.087095
deformity	0.0870734
flogging	0.0856056
abduction	0.0855348
fracture	0.0826433
deafness	0.0804523
rape	0.0796723
deportation	0.077263
extermination	0.0764781
frostbite	0.0756409
electrocution	0.0753539
angioplasty	0.0746604
C-section	0.0739344
abscess	0.0737985
"mass murder"	0.0713084
looting	0.070952
blindness	0.0706222
decommissioning	0.0691953
Ostracism	0.0690466
strangulation	0.0690411
hospitalization	0.0686801
decapitation	0.0686723
circumcision	0.0683948
retardation	0.0670668
lynching	0.0648747
suffocation	0.064688
laceration	0.0641561
starvation	0.064122
"surgical procedure"	0.064113
eviction	0.0636411
breakage	0.0635624
kidnapping	0.0628676
augmentation	0.0627995
"medical exam"	0.0620351
pneumonia	0.061861
"congestive heart failure"	0.0617441
displacement	0.0611911
mastectomy	0.0611332
targeting	0.0596417
"heart disease"	0.0594925
impoverishment	0.059004
ulcer	0.0587454
biopsy	0.0585363
"caesarean section"	0.0584728
emphysema	0.0579917
"heart failure"	0.0579626
"liver disease"	0.0579341
wounding	0.0576681
hostage-taking	0.057652
miscarriage	0.0574547
hemorrhage	0.0570932
stabbings	0.0570655
"medical examination"	0.0566384
amputee	0.0564881
dismemberment	0.0561302
dialysis	0.056026
sterilization	0.0559562
expulsion	0.0546495
pillaging	0.0543281
complication	0.0540784
retrenchment	0.053852
Osteoporosis	0.0538277
"heart attack"	0.053686
hypothermia	0.053671
disability	0.0536183
imprisonment	0.0531303
atherosclerosis	0.0529203
"cardiovascular disease"	0.0526505
incest	0.051988
vasectomy	0.0517667
arson	0.0514966
"engine failure"	0.0513993
ailment	0.0512989
enslavement	0.0511679
liposuction	0.0510459
Grounding	0.0507088
"cancer death"	0.0505419
seizure	0.0504205
"sexual assault"	0.0503184
impairment	0.050124
"change of mind"	0.0500758
bloodbath	0.0500024
stayaway	0.0499795
contusion	0.049714
"management shakeup"	0.0496142
"name change"	0.0495246
foul-up	0.0494951
slaying	0.0493613
shootouts	0.0488255
"plastic surgery"	0.0480823
"blood transfusion"	0.0480794
homicide	0.0479977
"health problem"	0.0477847
"memory loss"	0.0476548
butchery	0.0469328
sodomy	0.0466914
diabetes	0.0466657
renegotiation	0.0466575
self-examination	0.0466434
hernia	0.0466057
bloodletting	0.0462608
slashing	0.0461969
disbanding	0.0459457
brutality	0.0459285
liquidation	0.0457752
reorientation	0.045682
dislocation	0.0456201
beheading	0.0454767
facelift	0.0454214
reconfiguration	0.0454189
Inoculation	0.0453655
"space walk"	0.0453155
dispossession	0.04527
transplantation	0.0452597
abandonment	0.0452572
mayhem	0.0452456
recuperation	0.0450592
"Passion play"	0.0448213
trauma	0.0447835
resuscitation	0.0447514
evacuation	0.0446941
jaundice	0.044644
"drive-by shooting"	0.044591
internment	0.0445717
rethinking	0.0443492
"fire drill"	0.0440732
"face lift"	0.0440145
cirrhosis	0.0439933
exhumation	0.0437697
arthritis	0.0437286
"juvenile delinquency"	0.0431942
Caesarean	0.0431384
hypnosis	0.0431312
scrapping	0.0431295
incarceration	0.0431047
"neurological disease"	0.0429017
reassessment	0.0428555
reconsideration	0.0424522
dehydration	0.0424294
"high blood pressure"	0.0423414
reappraisal	0.0422058
"blood clot"	0.0419141
carjackings	0.0419133
relocation	0.0416906
burnings	0.0416736
malformation	0.0416539
deformation	0.0415877
dementia	0.041489
anesthesia	0.0414175
stockpiling	0.0411984
reexamination	0.0411018
"court martial"	0.0408988
seduction	0.0408766
vaccination	0.0408639
exodus	0.0408574
extinction	0.0407571
"medical checkup"	0.0406316
swelling	0.0403164
disarming	0.040305
"lung cancer"	0.0402905
adjournment	0.0400379
transfusion	0.0400202
))
(amputee (desc 2801.86) (sims
salchow	0.124132
lutz	0.091436
axel	0.0873699
diabetic	0.0833141
"displaced person"	0.0821076
displaced	0.0807044
whammy	0.0733246
helix	0.0672239
evacuee	0.0656216
centenarian	0.0655327
hemophiliac	0.0649175
decker	0.0641983
"Marie-Jose Perec"	0.0629214
orphan	0.0616929
"day laborer"	0.0594425
"census taker"	0.0589977
"juvenile delinquent"	0.0585662
"Iraqi Kurds"	0.0582144
"old woman"	0.0576347
"square mile"	0.0566152
amputation	0.0564881
grown-up	0.0559931
MSF	0.0547566
Muscovite	0.0540508
"big leaguer"	0.0536501
"people of color"	0.0533524
"AIDS patient"	0.0531741
"eagle scout"	0.0530968
franchisees	0.0530212
uninsured	0.0528579
Gypsy	0.0527817
"engine failure"	0.0527499
Liberian	0.0516637
Japanese-Americans	0.051279
Mozambican	0.0512594
"North Carolinian"	0.0512057
has-been	0.051124
Mexican-Americans	0.0510307
"important person"	0.0508661
"opera company"	0.0505686
dropout	0.0505139
"drug addict"	0.0504113
"foster child"	0.0503799
job-seekers	0.0500706
extermination	0.049921
"farm worker"	0.0497623
Honduran	0.0497137
gardener	0.0493839
"Cuban Americans"	0.0491836
"drug user"	0.049124
illiterate	0.0491123
scull	0.048913
webcams	0.0487134
mastectomy	0.0484308
"cash machine"	0.0483102
Nicaraguan	0.0480232
breadwinner	0.0476807
"Southern Democrats"	0.0471748
sufferer	0.0471041
camper	0.0468948
"Al Joyner"	0.0468751
"school girl"	0.0468218
"good person"	0.0467365
caregiver	0.0464354
Sang	0.0461152
Northerner	0.0460798
commoner	0.0459884
weatherman	0.0459661
hernia	0.045206
Haitian	0.0451115
enumerators	0.0451084
"registered nurse"	0.045077
"Russian Jews"	0.0448746
Merlino	0.0447556
part-timer	0.0446718
reservist	0.0446027
exerciser	0.0446007
masseuse	0.0445902
celebs	0.0445634
telecommuters	0.0444384
pessimist	0.0442273
"Jonathan Edwards"	0.0441897
"heroin addict"	0.0441637
"black person"	0.0441343
"girl scout"	0.0439948
learner	0.0439302
inpatient	0.0438377
bikers	0.0436972
"young girl"	0.0436401
"senior citizen"	0.0436379
hearsay	0.0435985
"cancer death"	0.0435346
Ghanaians	0.0435233
imposter	0.0435222
psychoanalyst	0.043491
"New Englander"	0.0434864
Wishbone	0.0433741
"Kosovar Albanians"	0.0433679
emigrant	0.043247
leper	0.0431829
bystander	0.0431204
prizefighter	0.0431126
autoworkers	0.0430779
submariner	0.0429132
"humpback whale"	0.0428826
optimist	0.0428696
"set point"	0.0428592
celebrant	0.0427676
beginner	0.0425691
"big cat"	0.0425019
Hawaiians	0.042462
townsfolk	0.0424525
Ironman	0.0423625
"union worker"	0.0422593
Ukrainians	0.0421334
Springbok	0.0420942
agnostic	0.0420556
Chinese-Americans	0.0419844
"general practitioner"	0.0419332
parolee	0.0418849
well-wisher	0.0418629
gymnast	0.0418462
Bedell	0.0417374
"Michelle Smith"	0.0416784
B-@s	0.0416047
"center of attention"	0.0415997
"school teacher"	0.0415987
abuser	0.0415146
daughter-in-law	0.0414758
outpatient	0.0414414
"genetic disease"	0.0414226
"temporary worker"	0.0413309
gambler	0.0412524
lifeguard	0.0411727
Macaque	0.0410828
"music lover"	0.0410752
multimillionaires	0.0410299
"union member"	0.040914
"dance band"	0.0408432
parishioner	0.0407566
derelict	0.0407255
"Central American"	0.040705
non-Serbs	0.0405857
marathoner	0.040507
infertility	0.0404214
picker	0.0403689
bottlers	0.040337
"political prisoner"	0.0402522
chairlift	0.0402487
recidivism	0.0401896
"married man"	0.040139
starling	0.0401049
"East Timorese"	0.0400631
))
(AMR (desc 4541.83) (sims
"AMR Corp."	0.313825
UAL	0.241569
"UAL Corp."	0.231557
McKesson	0.197843
Viacom	0.185279
TYCO	0.184333
RJR	0.183131
"National Grid"	0.181324
Omnicom	0.181107
"Berkshire Hathaway"	0.174822
"News Corp."	0.174004
"Federated Department Stores"	0.171606
"Thermo Electron"	0.171434
Seagram	0.171035
Litton	0.170731
WPP	0.170558
"Knight Ridder"	0.169453
Bertelsmann	0.16672
"Times Mirror"	0.161492
Cendant	0.160675
"Dow Jones &AMP; Co."	0.158919
Emulex	0.158052
Pepsico	0.157706
"Tribune Co."	0.157471
CMGI	0.15743
Vivendi	0.156442
"Seagram Co."	0.156387
"Times Co."	0.154066
ascend	0.15373
"Hearst Corp."	0.152607
"Gap Inc."	0.151305
"US Airways"	0.151165
SmithKline	0.150404
E-LOAN	0.149512
Federated	0.149381
"Niagara Mohawk"	0.148968
"U.S. Trust"	0.148566
Hasbro	0.147745
"Viacom Inc."	0.147384
GANNETT	0.1472
Halliburton	0.146969
Healtheon/WebMD	0.146029
"Boston Scientific"	0.144811
Aetna	0.144142
Nortel	0.143944
NORTHROP	0.143448
"Omnicom Group"	0.143139
SBC	0.143016
Mannesmann	0.142685
"Y&AMP;R"	0.142646
ALZA	0.142157
Interpublic	0.142032
WorldCom	0.140822
Schlumberger	0.140646
Daimler-Benz	0.140559
SFX	0.140494
Daimler	0.139356
Tenneco	0.138996
"Computer Associates"	0.137689
"Walt Disney Co."	0.137515
Weyerhaeuser	0.136347
Mattel	0.136289
Genzyme	0.135887
Ciena	0.135565
Monsanto	0.134839
"P&AMP;G"	0.134661
Medtronic	0.133858
"Bausch &AMP; Lomb"	0.133661
"J&AMP;J"	0.133352
"Union Carbide"	0.132449
COLTEC	0.132317
Sunbeam	0.132152
"MCI WorldCom"	0.131968
"True North"	0.131931
GTE	0.131534
EMC	0.131294
Starwood	0.131084
NiSource	0.130571
Amgen	0.130423
AIG	0.129994
"Air Canada"	0.129631
UBS	0.129362
"JDS Uniphase"	0.129352
Cabletron	0.129044
Bristol-Myers	0.128552
Genentech	0.128173
Compaq	0.127146
TELLABS	0.126973
"Johnson &AMP; Johnson"	0.12681
Corning	0.126552
China.com	0.126534
Clorox	0.126501
Telefonica	0.12645
Scientific-Atlanta	0.126365
NatWest	0.126125
"Deutsche Telekom"	0.126119
VICKERS	0.125581
Seagate	0.125082
Publicis	0.124771
Olivetti	0.124553
"Phelps Dodge"	0.12454
Chiron	0.12452
Raytheon	0.124346
"RJR Nabisco"	0.124235
LVMH	0.123886
"United Technologies"	0.123769
"Northeast Utilities"	0.123734
Belo	0.123681
Unilever	0.123653
"Global Crossing"	0.123042
Novartis	0.122836
"Bankers Trust"	0.122632
AlliedSignal	0.122578
ARCO	0.122468
Alcan	0.121738
"International Paper"	0.121638
"BP Amoco"	0.121546
Novell	0.120983
"Aetna Inc."	0.120868
"Dayton Hudson"	0.12082
Vodafone	0.120754
Georgia-Pacific	0.120742
"CBS Corp."	0.120356
Healtheon	0.12013
Penney	0.119797
BankAmerica	0.119708
"American Airlines"	0.119654
Citigroup	0.1195
NASD	0.119033
Dupont	0.11898
"Rite Aid"	0.11893
Honeywell	0.118842
"Delta Air Lines"	0.118518
Avondale	0.118243
UTC	0.118229
CCE	0.118181
Autodesk	0.118098
Lockheed	0.117697
Biogen	0.117615
"New York Times Co."	0.117442
"Coca-Cola Enterprises"	0.117338
Exxon	0.117175
Aegon	0.117055
Warner-Lambert	0.116464
Vitesse	0.11532
Cathay	0.1152
Berkshire	0.115155
Qwest	0.115064
Warnaco	0.114999
"HBO &AMP; Co."	0.114898
"Trans World Airlines"	0.114822
Cisco	0.114701
"Eli Lilly"	0.114597
"Hughes Electronics"	0.114476
Bridgestone	0.114435
BCE	0.114211
SAirGroup	0.114205
"Mattel Inc."	0.114126
"HSBC Holdings"	0.113915
"Southern Co."	0.113788
Scripps	0.113711
BellSouth	0.113578
DaimlerChrysler	0.113239
"Coca-Cola Co."	0.113144
"USA Networks"	0.113094
Qualcomm	0.112999
"Continental Airlines"	0.112662
Norwest	0.112374
AstraZeneca	0.112349
"SBC Communications Inc."	0.112107
Texaco	0.111987
MiniMed	0.111785
Glaxo	0.111501
WELLPOINT	0.111056
Asa	0.111023
ENTERGY	0.110741
Pairgain	0.110724
"Deutsche Bank"	0.110715
"America West"	0.110608
Ansett	0.110578
Kroger	0.110498
"General Electric"	0.110386
delta	0.110281
"First Union"	0.110187
TWA	0.110056
AutoNation	0.109954
ExciteAtHome	0.109826
Kodak	0.109813
"Ford Motor"	0.109805
"American International Group"	0.109542
Agilent	0.109267
PLDT	0.109251
NTL	0.109191
"SBC Communications"	0.108863
"American Home Products"	0.108665
MACROMEDIA	0.108531
IDT	0.108516
"Philip Morris"	0.108194
CSX	0.107975
"U S West"	0.107315
Conoco	0.107182
"Burlington Northern"	0.10716
REVLON	0.107138
NationsBank	0.107079
"Bank of Scotland"	0.106885
"CMGI Inc."	0.106883
Humana	0.106788
"British Telecom"	0.106769
"Dow Chemical"	0.106677
"General Electric Co."	0.106494
Delphi	0.106427
ENTREMED	0.106252
Gillette	0.106108
HSBC	0.106089
Deutsche	0.105996
Providian	0.105955
Checkfree	0.10585
"Northern Telecom"	0.105371
HBOC	0.105353
Cablevision	0.105225
Diageo	0.105156
"Chronicle Publishing"	0.105001
CNET	0.104927
Petrofina	0.104844
"American Home"	0.104312
Livent	0.104175
WebMD	0.103824
GEC	0.103804
XYLAN	0.103703
"Time Warner"	0.103687
"Waste Management"	0.103527
Corel	0.103505
CUC	0.103488
Amoco	0.103113
"Exxon Mobil"	0.10297
TCI	0.102868
Inktomi	0.102866
Alcoa	0.102857
Chevron	0.102828
TRW	0.102646
Pfizer	0.102595
"Hongkong Telecom"	0.102501
Nabisco	0.102186
"Silicon Graphics"	0.102134
Bestfoods	0.101899
"Ford Motor Co."	0.101687
"France Telecom"	0.101574
Tandy	0.101519
"Ask Jeeves"	0.101449
BP	0.101323
"Cox Communications"	0.101164
"Philip Morris Cos."	0.10093
Totalfina	0.100729
"Sony Corp."	0.100728
Lucent	0.100686
Hoechst	0.100627
"Time Inc."	0.100378
"Cendant Corp."	0.100054
"National Association of Securities Dealers"	0.10005
PEOPLESOFT	0.100037
))
("AMR Corp." (desc 2567.8) (sims
"UAL Corp."	0.360641
AMR	0.313825
"Seagram Co."	0.229461
"Federated Department Stores"	0.223869
UAL	0.203482
"Viacom Inc."	0.18525
"Omnicom Group"	0.179887
"General Electric Co."	0.170955
Viacom	0.170209
"Chevron Corp."	0.170028
"Knight Ridder"	0.169513
"CMGI Inc."	0.168125
"Halliburton Co."	0.166084
"Northeast Utilities"	0.161225
"Berkshire Hathaway"	0.160109
"Time Warner Inc."	0.159062
"Dow Jones &AMP; Co."	0.157391
"SBC Communications Inc."	0.156704
"News Corp."	0.153576
"National Association of Securities Dealers"	0.153009
"Walt Disney Co."	0.147256
"General Electric"	0.146208
"Citigroup Inc."	0.145041
"SBC Communications"	0.143175
"Hughes Electronics"	0.14277
"Philip Morris Cos."	0.141592
SAirGroup	0.140416
"Delta Air Lines"	0.140021
"Continental Airlines"	0.139373
"Hearst Corp."	0.138624
Omnicom	0.135583
"Aetna Inc."	0.133204
"American Airlines"	0.131698
"Softbank Corp."	0.131616
Seagram	0.131238
"Tele-Communications Inc."	0.130995
"Tribune Co."	0.129392
"Mattel Inc."	0.129084
"Daimlerchrysler AG"	0.128483
Publicis	0.127186
"Symantec Corp."	0.12698
"New York Times Co."	0.126184
"Coca-Cola Enterprises"	0.125681
"Exxon Corp."	0.124513
"Times Mirror Co."	0.12233
"Metropolitan Transportation Authority"	0.121257
"HSBC Holdings"	0.121047
"American International Group"	0.120913
"Philip Morris"	0.118833
"CBS Corp."	0.118131
SNCF	0.118063
Interpublic	0.118004
"Ford Motor Co."	0.117717
Bertelsmann	0.116517
"Times Mirror"	0.116444
PETROBRAS	0.116157
Pepsico	0.115259
"Air Line Pilots Association"	0.113797
"Nippon Telegraph"	0.111029
"Time Warner"	0.109623
"Hughes Electronics Corp."	0.109575
AstraZeneca	0.109387
"Pfizer Inc."	0.108363
"Coca-Cola Co."	0.106515
China.com	0.10648
"Chase Manhattan Corp."	0.106372
"Times Co."	0.105844
Schlumberger	0.105822
"Bristol-Myers Squibb"	0.105768
"Bertelsmann AG"	0.105315
"National Grid"	0.105229
Citigroup	0.105137
Telefonica	0.105036
Cablevision	0.104088
Novartis	0.103238
"Pepsico Inc."	0.101886
"Cisco Systems Inc."	0.101746
Monsanto	0.101622
"Gannett Co."	0.101254
Aventis	0.10109
YankeeNets	0.100832
GANNETT	0.100605
"Cendant Corp."	0.10009
"British Airways"	0.0998739
"Travelers Group"	0.0998441
"Walt Disney"	0.0997592
"Conde Nast"	0.0994436
Vivendi	0.0993633
"Dell Computer Corp."	0.0989198
"Glaxo Wellcome"	0.098726
Halliburton	0.0984673
"Time Inc."	0.0982893
"Brown &AMP; Williamson Tobacco Corp."	0.0981884
CMGI	0.0980537
"Enron Corp."	0.0973515
"Eli Lilly"	0.0968612
"Oracle Corp."	0.0967499
"France Telecom"	0.0967405
"MCI WorldCom"	0.0964864
"American Home Products"	0.0962747
"Reed Elsevier"	0.0962586
"General Motors Corp."	0.0959247
"ELF AQUITAINE"	0.095531
"Gap Inc."	0.0955205
Federated	0.0953639
Hasbro	0.0953206
"Prudential Insurance Co."	0.0949151
ENTREMED	0.0945968
"Mannesmann AG"	0.0945868
"Boston Scientific"	0.0939009
HSBC	0.0932969
"Air Transport Association"	0.0930477
ZIFF-DAVIS	0.0929908
"Allied Pilots Association"	0.0928721
"Johnson &AMP; Johnson"	0.0924921
"GE Capital"	0.0921564
Pfizer	0.0914937
"Deutsche Bank"	0.0913048
"Ford Motor Company"	0.0911854
"Bausch &AMP; Lomb"	0.0911259
"Merck &AMP; Co."	0.0907723
"Learning Co."	0.0905493
"Sony Corp."	0.0905451
"Siemens AG"	0.0905114
TCI	0.0904872
"American Association of Health Plans"	0.0902996
Daimler-Benz	0.090038
"GTE Corp."	0.0899702
"Hearst Corporation"	0.0899676
Dupont	0.0897724
"United Parcel Service"	0.0891077
Healtheon/WebMD	0.0888087
Westinghouse	0.08849
DrKoop.com	0.0883826
E-LOAN	0.0882796
"Motorola Inc."	0.0882772
"Koch Industries"	0.0882466
"Lycos Inc."	0.08774
"United Technologies"	0.0876466
"Deutsche Telekom"	0.0875127
"Communications Workers of America"	0.0873538
Olivetti	0.0873446
"Volkswagen AG"	0.0872467
"Con Edison"	0.087199
"Livent Inc."	0.0870102
"EMC Corp."	0.0868888
"International Business Machines Corp."	0.0867367
"Network Associates"	0.0865337
"BP Amoco"	0.0864537
Merck	0.0864441
"China Telecom"	0.0863444
Unilever	0.0859774
"MindSpring Enterprises"	0.0859727
"Hang Seng Bank"	0.0858602
"Warner-Lambert Co."	0.0857745
Chevron	0.0855144
"Lockheed Martin Corp."	0.0854192
Unicom	0.0854039
"Silicon Graphics"	0.0853735
Diageo	0.084993
"Northern Telecom"	0.084959
"JDS Uniphase"	0.0844383
Media-MOST	0.0843988
EMC	0.0841189
"Pacific Century Cyberworks"	0.0839705
"Global Crossing"	0.0839156
continental	0.0837172
"National Semiconductor"	0.083696
McKesson	0.0834801
Telstra	0.0831047
SBC	0.0830788
Bridgestone	0.0830424
"Nomura Securities"	0.0829479
"Hyundai Group"	0.0828765
"Hongkong Telecom"	0.0827487
"R.J Reynolds"	0.082553
"Wal-Mart Stores Inc."	0.0824886
"Recording Industry Association of America"	0.0824124
"MediaOne Group"	0.0819983
"Relevant Knowledge"	0.0818417
"Vodafone AirTouch"	0.081809
"Securities Industry Association"	0.081778
Schering-Plough	0.0816158
"United Airlines"	0.0815788
"Raytheon Co."	0.081501
"Liberty Media"	0.0814815
"China National Petroleum Corporation"	0.0813189
Genzyme	0.0812192
Raytheon	0.0811265
Eni	0.0810063
"Bank of Scotland"	0.080522
"Main Events"	0.0798096
Corp.	0.0797281
"Delta Airlines"	0.0795167
"Trans World Airlines"	0.0793397
"Telecom Italia"	0.0791279
"Sydney Organizing Committee"	0.0790993
Gazprom	0.0790161
"Union Pacific"	0.0790013
Novell	0.0788752
))
("Amr Moussa" (desc 3685.97) (sims
"Kamal Kharrazi"	0.334029
"Hosni Mubarak"	0.328834
"Ismail Cem"	0.298636
"Lamberto Dini"	0.296473
"Hubert Vedrine"	0.294814
"Klaus Kinkel"	0.286395
"Igor Ivanov"	0.269275
"Sartaj Aziz"	0.256138
"Abdullah Ahmad Badawi"	0.240904
"Prince Saud Al-Faisal"	0.240889
"Saudi King Fahd Ibn Abdul-Aziz"	0.234092
"David Levy"	0.233882
al-Shara	0.23327
el-Ganzouri	0.232285
"Tang Jiaxuan"	0.226554
"Robin Cook"	0.220971
"Jacques Chirac"	0.217512
"Atef Obeid"	0.214939
"Paavo Lipponen"	0.202343
al-Sharaa	0.200404
al-Khatib	0.198417
"Suleyman Demirel"	0.197168
Moussa	0.193817
"Jose Maria Aznar"	0.193172
"Jaswant Singh"	0.186474
Mubarak	0.184313
"Joschka Fischer"	0.18224
"Igor Sergeyev"	0.175725
"Ivan Kostov"	0.175553
"Radu Vasile"	0.174156
"Meles Zenawi"	0.173481
"Valery Pustovoitenko"	0.170428
"Jordanian King Abdullah Bin Hussein"	0.170066
Al-Faisal	0.168654
"Wim Kok"	0.168304
"Saudi King Fahd"	0.165201
"Goh Chok Tong"	0.165142
Al-Thani	0.162236
"Qian Qichen"	0.160279
al-Assad	0.159333
"Prime Minister Kamal El-Ganzouri"	0.155576
"Jordanian King Hussein"	0.155225
"Fernando Henrique Cardoso"	0.154925
"Rafik Hariri"	0.154697
Vedrine	0.153831
"Goran Persson"	0.15274
"Bertie Ahern"	0.152586
"Phan Van Khai"	0.15211
"Salim Hoss"	0.152001
"Chuan Leekpai"	0.151951
"Costas Simitis"	0.151665
"President Hafez Al-Assad"	0.151129
"Alberto Fujimori"	0.150835
"I.K Gujral"	0.148992
"Vo Van Kiet"	0.145811
"Jerzy Buzek"	0.145511
"Ernesto Zedillo"	0.145434
"Inder Kumar Gujral"	0.145419
"Atal Bihari Vajpayee"	0.145046
Gaddafi	0.144735
"Jean Chretien"	0.142153
"George Robertson"	0.141771
"John Bruton"	0.141753
"Atal Behari Vajpayee"	0.141395
"Yevgeny Primakov"	0.137704
al-Sahhaf	0.136151
al-Bashir	0.135938
"Romano Prodi"	0.13314
Ivanov	0.132778
"Abdul Karim Kabariti"	0.132706
Qian	0.132629
"Yoshiro Mori"	0.132366
"King Abdullah II"	0.132044
"Saeb Erekat"	0.129308
Jayakumar	0.128141
Kharrazi	0.128011
"Mesut Yilmaz"	0.127361
"Carlos Menem"	0.127357
Pangalos	0.126919
"Viktor Chernomyrdin"	0.126859
"Ariel Sharon"	0.126676
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.126478
"Victor Chernomyrdin"	0.125157
"Lionel Jospin"	0.123939
"Binyamin Netanyahu"	0.123081
"Deve Gowda"	0.121122
"Shimon Peres"	0.12023
"Sheikh Hasina"	0.119625
"Keizo Obuchi"	0.119602
Shareh	0.118723
"Mikulas Dzurinda"	0.118239
"Martti Ahtisaari"	0.11765
"Ung Huot"	0.116629
"William Cohen"	0.115865
Boueiz	0.11496
"Paul Kagame"	0.114783
"King Abdullah"	0.114413
"Pasteur Bizimungu"	0.114318
"Wang Daohan"	0.113783
"Chi Haotian"	0.113272
"Alain Juppe"	0.113242
"Benazir Bhutto"	0.112991
"John Major"	0.112889
"Wolfgang Schuessel"	0.112371
"Bulent Ecevit"	0.112143
Komura	0.112124
Aziz	0.11107
"Necmettin Erbakan"	0.110513
"Nawaz Sharif"	0.109803
Ganzouri	0.109695
"Ryutaro Hashimoto"	0.109688
Al-Sabah	0.109505
"Bashkim Fino"	0.109353
Majali	0.109269
Cem	0.10817
"Frederick Sumaye"	0.107491
"Ricardo Alarcon"	0.107392
"King Hussein"	0.107218
Meles	0.107101
"Alexander Lukashenko"	0.106243
"Yasser Abed Rabbo"	0.105991
Demirel	0.105972
"Javier Solana"	0.105967
"King Fahd"	0.105838
"John Howard"	0.105788
"Ehud Barak"	0.105526
"Jenny Shipley"	0.104888
"Antonio Guterres"	0.104471
"King Hassan II"	0.104408
Khaddam	0.104359
al-Nahyan	0.104014
"Mahathir Mohamad"	0.103395
"Yoweri Museveni"	0.10298
"Tony Blair"	0.102616
"William Perry"	0.102291
Camdessus	0.101921
Saleh	0.100886
"Yitzhak Mordechai"	0.100779
"deputy foreign minister"	0.100667
al-Hariri	0.100302
"Pandeli Majko"	0.100299
"Lokendra Bahadur Chand"	0.0995661
Museveni	0.0992433
"Mikhail Kasyanov"	0.0991918
Phieu	0.0986777
Talbott	0.0986312
"Zhu Rongji"	0.0980794
"Leon Brittan"	0.0978045
"Robert Mugabe"	0.0972716
"Vaclav Klaus"	0.0972547
Vice-Premier	0.0966907
"Esmat Abdel Meguid"	0.0964121
"Benjamin Netanyahu"	0.0962161
Solana	0.0960723
Dini	0.0955026
"Vladimir Putin"	0.0952958
"Oded Eran"	0.0940239
"Li Peng"	0.0939239
Shara	0.0934361
Kuchma	0.0932988
Chirac	0.0932795
Abdullah	0.0930882
"Than Shwe"	0.0928474
Chretien	0.0926395
"Bizima Karaha"	0.0924724
"Sergei Kiriyenko"	0.0924504
"Prince Abdullah Ibn Abdul-Aziz"	0.0922402
"Fayez Tarawneh"	0.0919123
Hariri	0.0913629
Moi	0.0912316
"Wlodzimierz Cimoszewicz"	0.0907694
Vajpayee	0.0906774
"Chavalit Yongchaiyudh"	0.0905771
Goh	0.0903424
"Amnuay Virawan"	0.0898148
"Pascoal Mocumbi"	0.0892923
"Dos Santos"	0.0892516
Juncker	0.0887203
"President Kim Dae-jung"	0.0884778
Kavan	0.0884679
Albright	0.088366
"Boris Yeltsin"	0.0882315
"Natan Sharansky"	0.0880362
"Abidine Ben Ali"	0.0878299
Dehaene	0.0876911
"Milos Zeman"	0.0875535
Santer	0.0872252
"Sergei Stepashin"	0.0870157
al-Khalifa	0.0867221
Clerides	0.0866658
al-Baz	0.0865436
"Yossi Sarid"	0.0863705
Kabariti	0.0861427
"Koo Chen-fu"	0.0861308
Simitis	0.0861261
"Michael Portillo"	0.0858873
"secretary of state"	0.0858811
Sharif	0.0857433
"Defense William Cohen"	0.0856458
"H.D Deve Gowda"	0.0856209
))
(AMs (desc 7460.18) (sims
"Atlanta Motor Speedway"	0.124583
UNDATED	0.117924
"small hours"	0.107784
NHIS	0.0877095
TM	0.0866477
"Las Vegas Motor Speedway"	0.082402
night.	0.0801539
"Texas Motor Speedway"	0.0798813
Pir	0.0780686
Martinsville	0.0773592
"Charlotte Motor Speedway"	0.0717515
Daytona	0.0708368
IMS	0.0703968
"New Hampshire International Speedway"	0.069193
Pocono	0.067877
"Daytona International Speedway"	0.0660665
"California Speedway"	0.065525
"Pikes Peak"	0.0652583
"Talladega Superspeedway"	0.0640592
Brickyard	0.061801
"Indianapolis Motor Speedway"	0.0606069
Irwindale	0.0597592
"Watkins Glen"	0.0587029
"Motor Speedway"	0.0581387
Talladega	0.0577318
"Michigan Speedway"	0.0554874
"first hours"	0.0531743
Loudon	0.0522636
speedway	0.0510777
Thu	0.0509322
Darlington	0.0486067
"Sears Point"	0.0470538
"Lipton Championships"	0.0463938
Fontana	0.046249
EDT	0.0455206
mid-night	0.0445444
"Nagano Olympics"	0.0425326
Monza	0.0424747
Rockingham	0.0418767
pm	0.0417552
Bristol	0.0415824
Indy	0.0407886
))
(Amsterdam (desc 28217.1) (sims
Frankfurt	0.21491
Madrid	0.190894
Vienna	0.189784
Milan	0.186471
BRUSSELS	0.183972
Paris	0.177834
Munich	0.17779
Zurich	0.175135
Copenhagen	0.169603
Berlin	0.16914
Rome	0.168508
LONDON	0.164929
LISBON	0.162428
Tokyo	0.160074
Rotterdam	0.159248
Geneva	0.155624
STOCKHOLM	0.15445
SEOUL	0.152629
Hamburg	0.152183
Prague	0.151661
Helsinki	0.151264
Istanbul	0.149061
CAIRO	0.147653
"Buenos Aires"	0.143696
"Kuala Lumpur"	0.143574
BUDAPEST	0.142556
WARSAW	0.141103
"Mexico City"	0.138753
Oslo	0.138621
Dublin	0.137993
Barcelona	0.136423
Bangkok	0.136029
Algiers	0.135594
ATHENS	0.13545
JOHANNESBURG	0.134187
"Sao Paulo"	0.133771
Duesseldorf	0.1323
"Tel Aviv"	0.132161
Moscow	0.130849
BUCHAREST	0.129728
Utrecht	0.129003
Cologne	0.127319
Taipei	0.127298
Osaka	0.126134
Stuttgart	0.125209
KIEV	0.125104
Lyon	0.124025
Havana	0.123979
ZAGREB	0.12371
Eindhoven	0.123551
Florence	0.122652
Amman	0.120801
MELBOURNE	0.120786
"Ho Chi Minh City"	0.120617
Manila	0.120395
Lausanne	0.120391
Riyadh	0.120073
Bonn	0.11999
Santiago	0.119427
Dushanbe	0.117229
Venice	0.117148
"Cape Town"	0.117091
BOGOTA	0.116991
BEIJING	0.116955
Strasbourg	0.116104
Naples	0.115728
Jakarta	0.115504
"San Juan"	0.115387
"Rio de Janeiro"	0.114169
Khartoum	0.114101
CARACAS	0.113544
Brisbane	0.113349
Nairobi	0.113299
HANOI	0.113286
"New Delhi"	0.112775
Beirut	0.112351
Sydney	0.112044
PALERMO	0.111461
Tripoli	0.111361
Auckland	0.111298
Tehran	0.111186
Honolulu	0.110982
DHAKA	0.110922
"Santo Domingo"	0.110419
"Addis Ababa"	0.109934
Manchester	0.109285
"St. Petersburg"	0.10923
HARARE	0.108724
"San Jose"	0.108294
"Los Angeles"	0.10761
"Phnom Penh"	0.107397
Turin	0.107334
Abidjan	0.107125
"The Hague"	0.106903
"Guatemala City"	0.106442
"San Francisco"	0.106158
Lusaka	0.10579
Asmara	0.105667
Antwerp	0.105466
Shanghai	0.105275
Minsk	0.104498
Bombay	0.104415
Sarajevo	0.104378
Montreal	0.103947
Belfast	0.103935
TIRANA	0.103756
"Little Rock"	0.103617
Luanda	0.10277
Birmingham	0.102328
SOFIA	0.102199
BASEL	0.101932
Glasgow	0.101694
Newark	0.101516
Maastricht	0.101346
Durban	0.100938
Pretoria	0.100916
"New York"	0.099882
Tashkent	0.0997146
"San Salvador"	0.0977973
Karachi	0.0975756
Toronto	0.0975685
Guadalajara	0.0972008
Dusseldorf	0.0969422
Perth	0.096288
Hague	0.0962367
DUBAI	0.0954063
Chicago	0.0950963
COLOMBO	0.0949274
Alexandria	0.0947788
Luxembourg	0.0946667
Asuncion	0.094181
ANKARA	0.0940284
Orlando	0.0940175
Kigali	0.0940144
Leipzig	0.0939979
Doha	0.0939526
Lahore	0.0928295
Hanover	0.0927944
Kyoto	0.0925847
Accra	0.0925767
TUNIS	0.0925533
Vientiane	0.0923909
Lima	0.0921736
Memphis	0.092005
Pristina	0.0918629
Boston	0.0912995
Cardiff	0.0912544
Arusha	0.0911892
Marseille	0.0911294
Minneapolis	0.0910461
"La Paz"	0.0909026
Atlanta	0.090856
Marseilles	0.0906836
Kinshasa	0.0905463
Singapore	0.0904752
Managua	0.0903647
Denver	0.0901504
Tucson	0.0900356
PYONGYANG	0.0898856
KAMPALA	0.0897812
Calcutta	0.0896626
BELGRADE	0.0896456
Miami	0.0896262
Bern	0.0894655
"Key West"	0.0892032
"New Orleans"	0.0891767
MAPUTO	0.0891745
Kathmandu	0.0891611
Damascus	0.0890011
"Fort Lauderdale"	0.0888036
CHENGDU	0.0887726
Tbilisi	0.0886794
Skopje	0.088582
Cartagena	0.0885591
TEGUCIGALPA	0.088496
Tampa	0.0882534
Vancouver	0.0882371
Windhoek	0.0880054
Halifax	0.0878677
Seattle	0.0878504
"Las Vegas"	0.0878457
Lhasa	0.0875966
Calgary	0.0871587
Bishkek	0.0869743
Baghdad	0.0866676
Salzburg	0.0865407
Quito	0.0864773
Lome	0.0861029
Edinburgh	0.0861023
Dili	0.0859556
Kabul	0.0859113
Philadelphia	0.0857857
Nashville	0.0855639
Houston	0.0854398
MANAMA	0.0854364
"New Haven"	0.0851156
Phoenix	0.0849407
"Hong Kong"	0.0846259
Savannah	0.0845918
Kunming	0.0838468
))
(AMT (desc 1089.13) (sims
"estate tax"	0.161598
"death tax"	0.133807
"inheritance tax"	0.125408
"excise tax"	0.0981911
"income tax"	0.0916185
"capital gains tax"	0.0901034
surtax	0.089196
"disability insurance"	0.0865898
"user fee"	0.0819713
ERISA	0.0731159
"poison pill"	0.0709765
gratuity	0.0698945
W-@	0.0686169
SFA	0.067785
"property tax"	0.0673977
"gasoline tax"	0.0665897
Helms-Burton	0.0660324
GST	0.0654523
"stamp duty"	0.064952
"minority interest"	0.0645581
"parking ticket"	0.0643496
"price fluctuation"	0.0629435
forfeiture	0.0627427
amortization	0.0627177
"admission fee"	0.0613259
Eappens	0.0612295
"pricing system"	0.0602024
aero	0.0601788
fibroids	0.0582983
AOC	0.0576544
"pork barrel"	0.0563436
ITTF	0.056249
zoning	0.0560607
"service charge"	0.0558832
Beretta	0.0546056
"Internal Security Act"	0.0533897
REIT	0.0533511
"value-added tax"	0.0529694
"business cycle"	0.0521464
"Second Amendment"	0.0519388
"capital gain"	0.0512477
"management fee"	0.0508642
SSE	0.0508035
"hush money"	0.0506374
"liquidity problem"	0.0494912
"insurance premium"	0.0493775
whistleblower	0.0482973
"bankruptcy law"	0.0480831
"circuit breaker"	0.0479479
stopgap	0.0475287
arbitrariness	0.0474176
"guessing game"	0.0471607
silencer	0.0470459
"U.S. Soccer Federation"	0.0468519
"Fourth Amendment"	0.0467759
alimony	0.0466915
"child support"	0.0464864
"social insurance"	0.0463966
"consumption tax"	0.0458077
postage	0.0455907
"Millennium Bug"	0.0455794
DMV	0.0449863
"Reagan Democrats"	0.0444052
"statute of limitations"	0.0443244
"a few hundred dollars"	0.044304
Avonex	0.0439533
"insurance claim"	0.043622
Shays-Meehan	0.0435877
"about @@@,@@@ dollars"	0.043478
"living wage"	0.0434439
ICA	0.0434207
olestra	0.0431818
"withholding tax"	0.0431728
"licensing fee"	0.0431247
"moral hazard"	0.0430092
indemnity	0.0428669
hryvnas	0.0427547
STOXX	0.042542
MCAS	0.0420592
"tax shelter"	0.042058
"quota system"	0.0419533
"Labor office"	0.0418863
GSP	0.0414787
afterburner	0.0413276
Ecuadorean	0.041322
"federal department"	0.041232
repeating	0.0412112
"asset sale"	0.0411977
"profit sharing"	0.040944
Botswanan	0.0406319
"State Bank of Pakistan"	0.0405546
severance	0.040398
"Bosnian Serb Republic"	0.0403485
"rule of evidence"	0.0402422
"Disabilities Act"	0.0402123
))
(Amtrak (desc 11423.8) (sims
"Union Pacific"	0.110427
Eurotunnel	0.109458
CSX	0.106804
MTA	0.0973271
Priceline	0.097188
"El Al"	0.0957537
"Long Island Rail Road"	0.0953531
"Con Ed"	0.0950966
airline	0.094867
Acela	0.094338
ExciteAtHome	0.0934665
railroad	0.0927142
"Korean Air"	0.0919139
"Norfolk Southern"	0.0905105
"Air France"	0.0896467
Conrail	0.0888392
Marketspan	0.0880243
JetBlue	0.0867955
Aetna	0.0867355
Marta	0.0866201
EgyptAir	0.0856103
"Alaska Airlines"	0.0855482
"US Airways"	0.0851325
IDT	0.0847677
SDB	0.0831821
FAA	0.0821881
BellSouth	0.0812077
Lilco	0.0812074
McKesson	0.0810014
"Metropolitan Transportation Authority"	0.0809378
FEMA	0.0807772
Tram	0.0798512
railway	0.0798337
AIRTRAN	0.0789484
TDC	0.0789023
Swissair	0.0788875
EarthLink	0.0788817
"passenger train"	0.0785361
"Census Bureau"	0.0783543
RJR	0.0782491
"Con Edison"	0.078165
subway	0.0778696
SLOC	0.0776379
"Pac Bell"	0.0774231
"Allied Pilots Association"	0.0771509
"Harvard Pilgrim"	0.0766446
Boeing	0.076591
MCI	0.0765219
Celera	0.0762213
"Gulf Air"	0.0756269
"America West"	0.0754896
MEA	0.0746961
"Fannie Mae"	0.0746609
Railtrack	0.0746382
Aeromexico	0.0746364
"Federal Aviation Administration"	0.0745513
TWA	0.0743633
"Ford Motor Co."	0.0740534
"Thermo Electron"	0.0738835
"Southwest Airlines"	0.0737808
UAL	0.0736748
delta	0.0735682
"Vietnam Airlines"	0.0735203
DaimlerChrysler	0.0733333
"Delta Air Lines"	0.0731303
CCA	0.073002
"MCI WorldCom"	0.0729051
"U.S. Soccer Federation"	0.0728155
VENATOR	0.0725613
"Defense Department"	0.0725599
Google	0.0725038
TAZARA	0.0724296
"Kenya Airways"	0.0722754
"customs service"	0.0721259
"Salt Lake Organizing Committee"	0.0717986
"Stride Rite"	0.0717917
NASA	0.0716906
"British Airways"	0.0716812
"U S West"	0.0716266
Genzyme	0.0715642
"Bell Atlantic"	0.0715641
AMC	0.0714164
Livent	0.0713543
GM	0.0711056
Raytheon	0.0709127
"Delta Airlines"	0.0708961
"Air Canada"	0.070508
"United Airlines"	0.070486
"Park Service"	0.0702483
JAL	0.0701451
"Texas Department of Public Safety"	0.0700191
Kodak	0.0699445
"PG&AMP;E"	0.0699087
REVLON	0.0698869
"postal service"	0.0697484
"U.S. Immigration and Naturalization Service"	0.0697137
Webvan	0.0695101
"P&AMP;G"	0.0695055
Expedia	0.0693758
"National Park Service"	0.0692895
"American Airlines"	0.0692592
Renault	0.0692328
TYCO	0.0692184
YankeeNets	0.0690042
Daimler	0.0689244
"bus company"	0.0686244
"Forest Service"	0.0684732
Icann	0.0682069
"National Grid"	0.0680719
"Visa International"	0.0680026
SBC	0.0677156
Mattel	0.0673425
Biogen	0.0671832
"Association of Flight Attendants"	0.0671793
Asa	0.0670098
GTE	0.0668233
Unicom	0.0667303
Caltrans	0.0666409
"Levi Strauss &AMP; Co."	0.0665943
Verizon	0.0664697
DirecTV	0.0664035
"Cathay Pacific"	0.0663015
Compaq	0.0662427
USEC	0.0660954
Mediaone	0.0660665
"Port Authority"	0.0660659
"BellSouth Corp."	0.0660018
Monsanto	0.0659665
Qwest	0.065871
"Southwestern Bell"	0.065839
Massport	0.0655825
Xerox	0.0654736
Schwab	0.0654411
"Time Warner"	0.0654007
"Boys Ranch"	0.0652972
Nissan	0.0652196
RCN	0.065111
Exxon	0.0648789
Greyhound	0.0648459
Lockheed	0.0648224
"Coast guard"	0.0647395
NRA	0.0646991
"Screen Actors Guild"	0.0646919
Sunbeam	0.0646223
ARATS	0.0645616
IRS	0.0645146
Corning	0.0643507
"freight train"	0.0643106
"Hearst Corp."	0.0642908
Healtheon/WebMD	0.0642661
Merrill	0.0641638
Chevron	0.0641344
Texaco	0.0641189
Ge	0.0641173
"Air China"	0.0640688
"Ocean Spray"	0.0637662
Fedex	0.0636964
freight	0.0635935
USOC	0.0635474
DoubleClick	0.0633886
ENTREMED	0.0633594
GPU	0.0633161
Cisco	0.0633083
Northpoint	0.0632886
Chrysler	0.0632075
"Hongkong Telecom"	0.0631913
NCR	0.0631871
KLM	0.063112
DEP	0.0631041
"National Highway Traffic Safety Administration"	0.0630952
"Continental Airlines"	0.0630912
Airbus	0.063064
WFP	0.0628585
"Agriculture Department"	0.062772
"China Unicom"	0.0627662
Echostar	0.0627177
KONI	0.0626618
ICBC	0.06266
ATHOME	0.0626034
"National Marine Fisheries Service"	0.0625393
CMA	0.0623961
Pentagon	0.062344
HP	0.0623334
Motorola	0.0623248
DMA	0.0622348
NRC	0.0621764
bombardier	0.062165
SGI	0.0620808
"Real Networks"	0.0620365
LIFFE	0.0619901
Pacifica	0.061981
coke	0.061973
Amgen	0.0619587
Mannesmann	0.0619347
HKMA	0.0618528
Warnaco	0.0618432
OPIC	0.0618074
Starwood	0.0617569
"America Online"	0.0616432
WebMD	0.0615762
))
(amulet (desc 2542.44) (sims
pendant	0.113232
"evening bag"	0.112667
choker	0.111212
brooch	0.0973503
bracelet	0.0951181
barrette	0.0916969
headdress	0.0916218
necklace	0.0908314
earring	0.085256
G-string	0.0783672
ornament	0.0781544
lacquerware	0.0763075
"key ring"	0.0761909
bead	0.0728078
urn	0.0727404
tiara	0.0698952
"mink coat"	0.0676918
wristband	0.0658428
"engagement ring"	0.063457
flask	0.0623182
figurine	0.0608279
cufflink	0.0602142
applique	0.0600264
medallion	0.0598859
"hot pants"	0.0573158
"tea set"	0.0571239
jade	0.0566434
slipper	0.0561713
statuette	0.056171
"postage stamp"	0.0554288
frieze	0.0553208
Pottery	0.0549385
"oil lamp"	0.0544522
vase	0.0540543
embroidery	0.0538921
stele	0.0538555
"wall painting"	0.0529607
sandal	0.0528111
crucifix	0.0527439
eyeshadow	0.0518578
mosaic	0.051635
carving	0.0512271
headband	0.0509468
"greeting card"	0.0506998
Goblet	0.0504268
"picture frame"	0.0502745
robe	0.0502681
bowls	0.0500358
Casket	0.0499798
"utility program"	0.0499453
vial	0.0499326
wristwatch	0.0498657
chalice	0.0494414
porcelain	0.0493934
bandana	0.0492254
vas	0.0491424
"Lincoln Town Car"	0.0485665
"belt buckle"	0.0483629
trestle	0.0482981
brassiere	0.0478417
streamer	0.0477675
bellbottoms	0.0477222
crosse	0.0474621
"toilet seat"	0.0468654
orb	0.0466357
bather	0.0460159
seashell	0.0457331
"water bottle"	0.0457283
"Star of David"	0.0457083
gemstone	0.0452405
"cocktail dress"	0.0445389
"two boxes"	0.0444378
icicle	0.0444003
Bonnet	0.0441937
shredders	0.0441776
bronzeware	0.0441159
chandelier	0.0439801
apron	0.043877
Matchbox	0.0435775
"soda can"	0.0431061
"teddy bear"	0.043003
kimono	0.042957
"cooking utensil"	0.0429545
vestment	0.0425614
"coffee bar"	0.0423543
armoire	0.0421767
REPELLENT	0.0420959
utensil	0.0420691
scroll	0.0419617
"nail polish"	0.0416976
dulcimer	0.0416106
teapot	0.041409
curio	0.041274
talisman	0.0412267
nightspot	0.0411804
"evening gown"	0.0411563
emulator	0.0410551
shawl	0.0409606
Judas	0.0409388
holster	0.0408835
engraving	0.0407886
"piece of furniture"	0.0407328
"Christmas present"	0.0406656
bauble	0.0405906
tapestry	0.040569
emerald	0.0403683
"oil painting"	0.0400941
"precious metal"	0.0400304
lantern	0.0400041
))
(amusement (desc 14467.9) (sims
amazement	0.122154
bemusement	0.110025
dismay	0.0967053
astonishment	0.0964745
pleasure	0.0948904
sadness	0.09318
admiration	0.0872376
disbelief	0.0865344
Entertainment	0.0851011
bewilderment	0.0846757
delight	0.0838198
puzzlement	0.0822847
awe	0.0821991
consternation	0.0776398
recreation	0.0770558
envy	0.0746845
trepidation	0.0746179
nostalgia	0.0745505
curiosity	0.0738151
pride	0.0731848
satisfaction	0.0730553
disdain	0.0710132
incredulity	0.0690949
glee	0.0690742
horror	0.069003
annoyance	0.0684486
excitement	0.0683769
fascination	0.0677258
enjoyment	0.0662562
exasperation	0.0658837
derision	0.0656275
pity	0.064595
disgust	0.0633414
dining	0.0625968
sorrow	0.0625539
disappointment	0.0625118
skepticism	0.0612548
humor	0.0606856
leisure	0.0600696
frustration	0.0599218
joy	0.0593377
bitterness	0.058972
chuckle	0.0586023
regret	0.058373
scorn	0.0582174
reverence	0.0580577
elation	0.0578135
contempt	0.0577373
understatement	0.0576018
"recreational facility"	0.0571844
irritation	0.0571774
affection	0.0570029
attraction	0.0557476
apprehension	0.0554469
weariness	0.0553966
pathos	0.0550554
sarcasm	0.0549849
"water sport"	0.0540452
laughter	0.0539197
sympathy	0.0539172
indignation	0.0524443
sightseeing	0.0523423
ambivalence	0.052081
accommodation	0.0517322
anguish	0.0512091
cynicism	0.0510392
gratitude	0.0509522
distaste	0.0508784
wonderment	0.0507772
dread	0.0507249
suspense	0.0504767
anxiety	0.0503239
emotion	0.050216
nightlife	0.0500862
grin	0.0499528
wariness	0.0499172
"amusement park"	0.049816
optimism	0.0492836
comfort	0.0491762
Gaming	0.0488278
happiness	0.0487207
outrage	0.0484005
confusion	0.0482389
wistfulness	0.048128
fondness	0.0478432
irony	0.0475667
foreboding	0.0472581
"theme park"	0.0470307
fury	0.0468706
hilarity	0.0466458
melancholy	0.0465385
discomfort	0.0465011
condescension	0.0462907
grief	0.046271
suspicion	0.0461084
daycare	0.0459747
diversion	0.0459289
enthusiasm	0.0459141
lodging	0.0458727
inspiration	0.0458525
pastime	0.0454305
despair	0.0451348
chagrin	0.0449538
resentment	0.0444813
shopping	0.0444608
childcare	0.0444446
detachment	0.0440402
nervousness	0.0439679
convenience	0.0439468
"data processing"	0.0438184
compassion	0.0436953
encouragement	0.04347
extravagance	0.0433743
satire	0.0433156
shame	0.0431204
hobby	0.0429786
beauty	0.0429458
"vocational training"	0.0425416
humility	0.0424336
impatience	0.0423961
equanimity	0.0422247
amenity	0.0421935
"medical care"	0.0421594
embarrassment	0.0417311
resonance	0.0415341
empathy	0.0412615
sophistication	0.0411057
passion	0.0410002
terror	0.0409868
"small talk"	0.0409312
unease	0.0407658
catering	0.040649
certainty	0.0406469
tenderness	0.0406271
smirk	0.0406078
gambling	0.0403469
jubilation	0.0402618
solace	0.040206
"shuttle bus"	0.040111
reassurance	0.0400981
poignancy	0.0400779
RV	0.040026
sustenance	0.0400233
longing	0.0400118
))
("amusement park" (desc 16504.3) (sims
"theme park"	0.214583
"shopping mall"	0.124263
park	0.123976
"shopping center"	0.117543
Disneyland	0.111065
"entertainment center"	0.108698
resort	0.104878
mall	0.102309
"botanical garden"	0.1007
"community center"	0.0986697
restaurant	0.0984722
Marina	0.0975607
"art gallery"	0.097342
hotel	0.0971244
Casino	0.0970891
"movie theater"	0.095889
"conference center"	0.0948496
"golf course"	0.0942292
"recreational facility"	0.0940925
"Disney World"	0.0932719
museum	0.0894974
"grocery store"	0.0874066
"department store"	0.0871041
aquarium	0.0867742
"swimming pool"	0.0861495
"nursing home"	0.0857882
zoo	0.0857251
complex	0.0845926
motel	0.0844297
drugstore	0.0841572
SPA	0.0836506
playground	0.0831493
arcade	0.081559
theater	0.0815007
"gas station"	0.0807109
attraction	0.0805679
inn	0.0803307
"movie house"	0.0801988
cemetery	0.0792407
"convenience store"	0.0786756
racetrack	0.078202
"bowling alley"	0.078183
bookstore	0.0779563
cinema	0.0770508
"gift shop"	0.0764374
cafe	0.0763252
nightclub	0.0757424
"exhibition hall"	0.0756232
shop	0.0753879
"office building"	0.0752957
campgrounds	0.0752265
"sports arena"	0.0745625
subdivision	0.0744909
supermarket	0.0744308
"day care center"	0.0743343
spas	0.0742992
"concert hall"	0.0738335
"coffee shop"	0.0737044
campground	0.073694
"resort hotel"	0.0736352
Carnival	0.0736049
"hardware store"	0.0734173
gym	0.0724232
"toy store"	0.0723819
"Walt Disney World"	0.0719882
pier	0.0718992
pub	0.0718662
Warehouse	0.0718234
clinic	0.0708519
boutique	0.0708452
"chain store"	0.0706887
condominium	0.0705991
"industrial park"	0.0700668
lodge	0.0697326
facility	0.0695387
"dance hall"	0.0694921
beach	0.0692665
garden	0.0691568
stadium	0.0690054
Pharmacy	0.0689651
factory	0.0688429
"music hall"	0.0687505
"national park"	0.0683471
"railway station"	0.0681406
"cable car"	0.0676696
"post office"	0.0675984
mansion	0.0674488
"liquor store"	0.0672725
winery	0.0671795
mosque	0.0671595
ranch	0.0666257
"beauty salon"	0.06593
hospital	0.064995
mill	0.0649751
"skating rink"	0.0646606
"roller coaster"	0.0645197
airport	0.0641512
"retail store"	0.0638832
bakery	0.0636032
hostel	0.0633342
"dairy farm"	0.0632905
bed-and-breakfasts	0.0632826
delicatessen	0.0632184
"research center"	0.0631387
"train station"	0.0631156
kennel	0.0630664
"service station"	0.0629717
"computer store"	0.0627844
farm	0.0627543
salon	0.0626545
library	0.0626201
"apartment building"	0.0624792
"travel agency"	0.0623983
"pizza parlor"	0.0623953
plaza	0.0622419
shrine	0.0622211
"steel mill"	0.0621712
boardwalk	0.0620927
"clothing store"	0.0620708
"flea market"	0.0618656
pavilion	0.0618557
"subway station"	0.0612305
"military installation"	0.0611976
tavern	0.0607309
hypermarket	0.060713
"Universal Studios"	0.060607
parlor	0.0605192
dealerships	0.0604911
"tennis court"	0.0603595
"general store"	0.0603392
"tea house"	0.0601815
nursery	0.0601405
"repair shop"	0.0598193
"machine shop"	0.0597854
slaughterhouse	0.0595721
venue	0.0594789
brewery	0.0592877
"summer camp"	0.0591927
palace	0.0590576
"opera house"	0.0588201
"parking lot"	0.0587453
coffeehouse	0.0587285
boating	0.0585122
"power plant"	0.0584602
"game room"	0.0583833
promenade	0.0581967
refinery	0.0581246
apartment	0.0581101
hall	0.0580368
condo	0.0580279
"housing development"	0.0580109
teahouse	0.0578767
temple	0.057669
dealership	0.0576004
"cruise ship"	0.0575323
YMCA	0.0575161
"railroad station"	0.057381
estate	0.0571563
"country club"	0.0571235
"football stadium"	0.0569944
circuses	0.0568711
synagogue	0.056713
amphitheater	0.0566929
gallery	0.0566669
gymnasiums	0.0566174
"ice rink"	0.0564737
campus	0.0563162
studio	0.0562213
"medical center"	0.0561739
terminal	0.0561105
shipyard	0.0560916
Ballpark	0.0560543
"office space"	0.0559351
"movie studio"	0.0559033
festival	0.0558605
kiosk	0.0557767
"picnic area"	0.0557475
garage	0.0557401
Villa	0.0557152
"jewelry store"	0.0556928
cafeteria	0.0553771
"trucking company"	0.0553734
"bus stop"	0.0553205
"retail chain"	0.0552916
gymnasium	0.0552611
saloon	0.0550534
"manufacturing plant"	0.0550024
arena	0.0549185
multiplex	0.0548773
subway	0.0547855
depot	0.0547784
riverboat	0.054415
"water sport"	0.0544009
"art school"	0.054153
"oil refinery"	0.054122
superstore	0.0541046
shelter	0.0540988
cottage	0.0540356
"trailer park"	0.0536932
quarry	0.0534386
))
(Amway (desc 2829.28) (sims
AutoNation	0.114555
RJR	0.108033
Alltel	0.104982
"Con Ed"	0.102013
Georgia-Pacific	0.101517
"Estee Lauder"	0.100525
"P&AMP;G"	0.100284
Caldor	0.0972728
DoubleClick	0.0938607
E-LOAN	0.0938526
Polaroid	0.0934704
Checkfree	0.0934462
Unilever	0.093413
Toysmart	0.0923766
EMC	0.0921099
"Sara Lee"	0.0920739
"International Management Group"	0.0918321
SGI	0.0915187
Overnite	0.0904384
Symantec	0.0895002
Genzyme	0.0886565
Tupperware	0.0877357
TYCO	0.0875893
"Network Associates"	0.0874169
Cadbury	0.0868636
CCE	0.0858297
Nestle	0.0851213
WEF	0.0850072
MCI	0.084952
Seagate	0.0848551
Netcom	0.0846136
Anheuser-Busch	0.0844717
SBC	0.0843903
"Weight Watchers"	0.0843165
Broderbund	0.0842227
Bristol-Myers	0.0838923
Motorola	0.0829726
Northpoint	0.0825618
IDG	0.0812075
Akamai	0.0809364
Livent	0.0807862
DHL	0.0807845
"Home Depot"	0.0807283
Honeywell	0.080586
Kodak	0.0804517
EarthLink	0.0793531
Nortel	0.078678
ExciteAtHome	0.078649
Roberds	0.0786386
Equifax	0.0782553
EBRD	0.0779884
SCI	0.0777463
IAI	0.0774732
Glaxo	0.0769298
GPU	0.0768906
PEOPLESOFT	0.0768013
"U.S. Soccer Federation"	0.0767928
Pepsico	0.0767908
MiniMed	0.0765969
"State Street"	0.0762039
Pepsi	0.0760831
sandpiper	0.076021
NCR	0.0757877
"Ask Jeeves"	0.0754485
"American Home"	0.0753785
G.M	0.0752783
NIKE	0.074825
Marketspan	0.0748097
REVLON	0.0744267
Pfizer	0.0742806
Chrysler	0.0740216
Unicom	0.0739887
Eximbank	0.0739747
Qualcomm	0.0737791
McKesson	0.0735516
"snake oil"	0.0734422
Dell	0.0733911
CPAFFC	0.0731493
AGL	0.0730743
Instinet	0.0724514
"L.L Bean"	0.0722985
Novell	0.0720463
Gillette	0.071889
Bayer	0.0717669
"Smith &AMP; Wesson"	0.0717079
DirecTV	0.0716856
BASF	0.0713359
"Coca-Cola Co."	0.071323
Ciena	0.0712844
"Con Edison"	0.0711179
Frito-Lay	0.0710721
BOC	0.0709595
Federated	0.0707635
DLC	0.070672
Starwood	0.070571
Pairgain	0.0703768
Fedex	0.070374
Delphi	0.0702302
HBOC	0.0702114
ADL	0.0701307
"Pac Bell"	0.0699297
"Ford Motor"	0.069755
Avon	0.0696737
Inktomi	0.0696161
"Robertson Stephens"	0.0691614
Reel.com	0.0691244
"Cox Communications"	0.0691086
OPIC	0.0689942
Healtheon	0.0689001
"Cadbury Schweppes"	0.068822
"HBO &AMP; Co."	0.0685273
RCN	0.0685132
Ikea	0.0681509
"Circuit City"	0.0680765
Saks	0.0680476
Ericsson	0.0679193
Nextel	0.0678624
Priceline	0.0677695
VENATOR	0.0677695
iXL	0.0676867
"Wells Fargo"	0.0676488
CNPC	0.0675512
Cisco	0.0674622
Enron	0.0674401
EA	0.0674242
UNIDO	0.0674097
MindSpring	0.0674046
Cablevision	0.0674001
Cargill	0.0673449
"J&AMP;J"	0.067274
Carrefour	0.0671806
"Fannie Mae"	0.067123
Healtheon/WebMD	0.0670896
Odwalla	0.0670188
Cerent	0.0669224
Mattel	0.0668962
ENTERGY	0.0668722
"Computer Associates"	0.0668522
"Abu Nidal"	0.0668504
Globalstar	0.0666695
"RJR Nabisco"	0.0665438
"Dow Jones &AMP; Co."	0.0665011
Fingerhut	0.0663399
SmithKline	0.0662312
SDB	0.0661975
ALZA	0.0661962
Compaq	0.0658862
"Niagara Mohawk"	0.0658431
CMGI	0.0657268
Siemens	0.0656833
ICA	0.065595
Penney	0.0655135
Genentech	0.0654622
Weyerhaeuser	0.0654377
"Publishers Clearing House"	0.0653594
"Sprint PCS"	0.0653471
CSX	0.0651506
HP	0.0649408
"Monsanto Co."	0.0649076
Tropicana	0.0647287
PDVSA	0.0647115
PLN	0.0646856
GTE	0.0646221
QVC	0.0645949
Echostar	0.064594
Ge	0.0644391
Biogen	0.0644294
Haier	0.0644261
USTA	0.064413
"Sony Corp."	0.064344
Diageo	0.0641511
NEC	0.0640886
NORTHROP	0.0639639
ARCO	0.0639281
"Electronic Arts"	0.0639231
Coca-Cola	0.0638684
Seagram	0.0638657
Konka	0.0638289
NHRA	0.0638165
Aegon	0.0638092
Mabetex	0.0637655
UPI	0.063712
Intel	0.0635748
Autodesk	0.0635595
Netscape	0.0635164
Levi's	0.0634859
"Wine Institute"	0.0634698
IMG	0.0634047
Intuit	0.0633836
"Waste Management"	0.0633812
"Georgia Power"	0.0633532
Transamerica	0.0632735
COSCO	0.0630699
Paxson	0.0630583
Corel	0.062986
Braun	0.0629238
Nomura	0.062896
AIG	0.0628191
TCI	0.0628096
Terra	0.0623851
))
(Amy (desc 11247.1) (sims
Eileen	0.126728
Kristin	0.124187
Julia	0.121774
Susan	0.119609
Sarah	0.11775
Kathy	0.116081
alicia	0.116012
Jennifer	0.1157
Natalie	0.115524
Diane	0.11501
Michelle	0.114957
Karen	0.112809
Rachel	0.112761
Suzanne	0.111132
Ashley	0.109807
Brenda	0.108098
Stephanie	0.107891
Jacqueline	0.10716
Lisa	0.107119
Nancy	0.106913
Jessica	0.105546
Dorothy	0.104998
Michele	0.103119
Christine	0.102671
Kathleen	0.101648
Christina	0.10155
Valerie	0.100398
Patricia	0.100086
Julie	0.099486
Peggy	0.0985891
Tracey	0.0978444
Emily	0.0976508
Irina	0.0975386
Linda	0.0974394
Cindy	0.0971694
Katie	0.0968686
Debbie	0.096753
Jill	0.0962463
Barbara	0.095947
Sonia	0.0958023
Doris	0.0955975
Caroline	0.0950089
Evelyn	0.0948745
Carolyn	0.0948714
Lori	0.0944323
Alexandra	0.093749
Kathryn	0.0934888
Rebecca	0.0932015
Cathy	0.0930855
Sara	0.0929996
Sylvia	0.0929309
Josephine	0.0925357
Meg	0.0922251
Annie	0.0919902
Sheryl	0.0918402
Maureen	0.0915856
Laura	0.0912794
Andrea	0.0910582
Denise	0.0903751
Nora	0.0902648
Miriam	0.0902114
Monique	0.0901424
Juanita	0.0899995
anna	0.089662
ANN	0.0895133
Margaret	0.0894835
Sophie	0.0894457
colleen	0.0893259
Edith	0.0892199
Elena	0.0883976
Beverly	0.0882613
Olga	0.0879949
Beth	0.087824
Donna	0.0875907
Shannon	0.0873263
Nicole	0.0869749
Lyn	0.0865168
Judy	0.0864314
Liz	0.0863701
"Azizah Ismail"	0.0863069
Toni	0.0858721
Pauline	0.0858148
Leigh	0.0856028
Helen	0.0855738
Jenna	0.0852098
Shirley	0.0849444
Maria	0.084849
Rita	0.0846879
Lydia	0.0841961
Jessie	0.0839065
Naomi	0.0838504
Esther	0.0838016
Sally	0.0835235
Pam	0.0832619
Samantha	0.0831831
Lynn	0.0830117
Patti	0.0825939
Kimberly	0.0825738
JoAnne	0.0825241
Erin	0.0825142
Mary	0.0824865
Ellen	0.082385
Polly	0.0822465
"Karenna Gore Schiff"	0.0821503
Millie	0.0816085
Cheryl	0.0813693
Carol	0.0811408
Marianne	0.0810641
Debra	0.0810507
Pamela	0.0805471
hazel	0.0802972
Elizabeth	0.0799352
Beatrice	0.0798167
Janet	0.0794633
Frances	0.0790941
Lynne	0.0784651
Camille	0.078461
Jane	0.0782508
Brooke	0.0777086
Vanessa	0.0775576
Deborah	0.0772847
Jamie	0.0769218
Teresa	0.0765869
Melanie	0.0764954
Stella	0.0764862
Cherie	0.0761019
Lauren	0.0757609
Leah	0.0756181
Janice	0.0755784
Robin	0.0754886
Tina	0.0754632
Melissa	0.0752639
Eleanor	0.0752551
Marian	0.0751976
gloria	0.07519
Mona	0.0749676
Catherine	0.0749093
becky	0.0747393
Lois	0.07461
Betsy	0.0739157
Connie	0.0739039
Megan	0.0733028
Meredith	0.073215
Danielle	0.073208
Kay	0.0729646
Rhonda	0.0727586
Stacy	0.0727401
Phyllis	0.0727046
Hannah	0.0722474
Lucy	0.0720425
Olivia	0.0718759
Matthew	0.0716714
Claire	0.0716446
Marta	0.071543
Jenny	0.0714883
Claudia	0.0711996
Alice	0.071181
Andrew	0.0711473
heather	0.0711466
Paulina	0.0709823
Sharon	0.0709648
Clara	0.0708702
Hadley	0.0708336
Hadassah	0.0706203
Betty	0.0702688
Courtney	0.0700834
Katherine	0.069994
TARA	0.0699482
Justin	0.0699266
Erica	0.0694525
Martha	0.069286
Theresa	0.0692047
Marie	0.0689104
Jackie	0.0685509
Karenna	0.0683658
Wendy	0.0683548
Alison	0.0681699
Anita	0.0680691
Alan	0.0679114
Laurie	0.067876
Marlene	0.067682
Terri	0.067667
Judith	0.0675893
Anne	0.0672624
Heidi	0.067223
Kate	0.0671495
Elaine	0.0668532
sandy	0.0663777
Robert	0.0661732
"Caroline Kennedy Schlossberg"	0.0660469
Nina	0.0660222
Molly	0.0658127
Michael	0.0654066
Nicholas	0.065141
"Carolyn Bessette Kennedy"	0.0649152
Maggie	0.064785
Gary	0.0647667
Audrey	0.0646505
Jeanne	0.0645762
Shawn	0.0644516
))
("Amy Brenneman" (desc 1343.35) (sims
"Cameron Diaz"	0.104571
"Jimmy Smits"	0.0865938
"Ben Stiller"	0.0776003
"Stellan Skarsgard"	0.0726991
"Chloe Sevigny"	0.0715384
"Azizah Ismail"	0.0662284
"Elisabeth Shue"	0.0615517
"Danny DeVito"	0.0605266
Debra	0.0594953
"Karenna Gore Schiff"	0.0581635
"Steve Zahn"	0.057557
Brenda	0.0574664
Patti	0.0560868
Miriam	0.054694
Annette	0.0544825
Audrey	0.0543322
Marlene	0.0542414
"Ray Romano"	0.0535135
Josephine	0.0533742
"Sigourney Weaver"	0.0533411
Naomi	0.0510921
Polly	0.0509593
Eileen	0.0507344
"Jeff Goldblum"	0.0505229
Leah	0.0495595
"James Gandolfini"	0.0489928
"defense lawyers"	0.0482925
"Harvey Keitel"	0.0480655
Andrea	0.047741
"Al Joyner"	0.0476371
Olga	0.0475936
Stacy	0.0474261
Paulina	0.0473855
Thelma	0.047316
Olivia	0.0471822
Irina	0.0470227
Kristin	0.0469713
Camille	0.0469546
"Smoke Signals"	0.0468589
alicia	0.0462122
Deborah	0.0456524
JoAnne	0.0454204
Lucia	0.0451392
"Steven Bochco"	0.0450214
Karenna	0.0444354
Dorothy	0.0443079
Heinrichs	0.0439593
Erving	0.0433985
Stephanie	0.0430461
Fay	0.04299
Kathy	0.0426782
Marchand	0.0425817
Patricia	0.0422369
Jessie	0.0421162
Michelle	0.0418613
Beverly	0.041828
Cindy	0.0411978
Kukoc	0.0410938
Juanita	0.0407552
Heidi	0.0407114
Elli	0.0405413
Falcone	0.0404558
Jenny	0.0403649
Katherine	0.0402097
))
("Amy Frazier" (desc 2933.29) (sims
"Tara Snyder"	0.376381
"Lisa Raymond"	0.371618
"Steve Campbell"	0.371303
"Vincent Spadea"	0.366419
"Chanda Rubin"	0.364565
"Jeff Tarango"	0.359409
"Jonathan Stark"	0.346861
"Sabine Appelmans"	0.346729
"Corina Morariu"	0.341806
"Nathalie Dechy"	0.340562
"Lori McNeil"	0.335824
"Richey Reneberg"	0.328836
"Mary Joe Fernandez"	0.328627
"MaliVai Washington"	0.32175
"Joannette Kruger"	0.31787
"Albert Portas"	0.31754
"Kimberly Po"	0.314891
"Younes El Aynaoui"	0.306167
"Rainer Schuttler"	0.304971
"Mariano Zabaleta"	0.304869
"Arnaud Di Pasquale"	0.301182
"Anke Huber"	0.297847
"Kenneth Carlsen"	0.296936
"Sarah Pitkowski"	0.296306
"Magui Serna"	0.291966
"Silvia Farina"	0.288473
"Richard Fromberg"	0.28833
"Elena Likhovtseva"	0.288048
"Michael Chang"	0.286948
"Nicolas Escude"	0.285787
"Dominique Van Roost"	0.284421
"Francisco Clavet"	0.282672
"Franco Squillari"	0.280209
"Anne Kremer"	0.279828
"Tatiana Panova"	0.279291
"Jason Stoltenberg"	0.278944
"Magdalena Maleeva"	0.27788
"Alberto Costa"	0.277545
"Karim Alami"	0.274369
"Jerome Golmard"	0.274286
"Catalina Cristea"	0.27427
"Olga Barabanschikova"	0.27397
"Albert Costa"	0.273765
"Carlos Costa"	0.273407
"Scott Draper"	0.272912
"Andreas Vinciguerra"	0.2724
"Hernan Gumy"	0.27192
"Alberto Berasategui"	0.271917
"Javier Sanchez"	0.270772
"Andrei Pavel"	0.270074
"Alex O'Brien"	0.269308
"Justin Gimelstob"	0.269251
"Chris Woodruff"	0.268681
"Galo Blanco"	0.268244
"Irina Spirlea"	0.26792
"Christian Ruud"	0.267201
"Fabrice Santoro"	0.266253
"Wayne Ferreira"	0.2652
"Conchita Martinez"	0.264688
"Adrian Voinea"	0.263915
"Natasha Zvereva"	0.263209
"Neville Godwin"	0.262456
"Sargis Sargsian"	0.261297
"Magnus Gustafsson"	0.260976
"Ramon Delgado"	0.260354
"Mariano Puerta"	0.259952
"Ruxandra Dragomir"	0.258497
"Lindsay Davenport"	0.258294
"Kim Clijsters"	0.257952
"Sandrine Testud"	0.257598
"Iva Majoli"	0.257391
"Jan-Michael Gambill"	0.25699
"Sebastien Grosjean"	0.256551
"Sjeng Schalken"	0.256374
"Barbara Schwartz"	0.256221
"Julie Halard-Decugis"	0.256191
"Rita Grande"	0.255405
"Felix Mantilla"	0.255172
"Arnaud Clement"	0.253978
"Jennifer Capriati"	0.253803
"Florencia Labat"	0.252703
"Nathalie Tauziat"	0.252674
"Arnaud Boetsch"	0.251975
"Filip Dewulf"	0.251636
"Marc Rosset"	0.251132
"Arantxa Sanchez-Vicario"	0.249343
"Patty Schnyder"	0.248381
"Juan Antonio Marin"	0.248187
"Xavier Malisse"	0.24758
"Paola Suarez"	0.247481
"Paul Goldstein"	0.247366
"Asa Carlsson"	0.246947
"Todd Woodbridge"	0.246924
"Grant Stafford"	0.245713
"Nicole Pratt"	0.244996
"Barbara Rittner"	0.244928
"Naoko Sawamatsu"	0.244622
"Mikael Tillstrom"	0.243585
"Ai Sugiyama"	0.241601
"Jim Courier"	0.240208
"Barbara Paulus"	0.239532
"Vince Spadea"	0.238885
"Judith Wiesner"	0.237983
"Amanda Coetzer"	0.237475
"Roger Federer"	0.2362
"Arantxa Sanchez Vicario"	0.236
"David Prinosil"	0.235875
"Miriam Oremans"	0.235853
"Michael Tebbutt"	0.235697
"Davide Sanguinetti"	0.234326
"Alexandra Fusai"	0.234051
"Monica Seles"	0.233709
"Fernando Meligeni"	0.233344
"Todd Martin"	0.232896
"Andrew Ilie"	0.230812
"Brenda Schultz-McCarthy"	0.229784
"Marcos Ondruska"	0.229737
"Tamarine Tanasugarn"	0.228524
"Marcelo Filippini"	0.228426
"Andrea Gaudenzi"	0.228309
"Amelie Mauresmo"	0.228058
"Mark Knowles"	0.227908
"Karina Habsudova"	0.225683
"Sergi Bruguera"	0.225273
"Anne-Gaelle Sidot"	0.224916
"Serena Williams"	0.22448
"Jonas Bjorkman"	0.22421
"Nicolas Kiefer"	0.222649
"Magnus Norman"	0.222162
"Janet Lee"	0.221585
"Tommy Haas"	0.221309
"Kveta Hrdlickova"	0.221019
"Guillaume Raoux"	0.220856
"Henrieta Nagyova"	0.220538
"Yayuk Basuki"	0.219898
"Paul Haarhuis"	0.21975
"Els Callens"	0.219309
"Gianluca Pozzi"	0.21905
"Li Fang"	0.218555
"Richard Krajicek"	0.217774
"Elena Dementieva"	0.216631
"Thomas Muster"	0.216626
"Andrei Medvedev"	0.216156
"Cara Black"	0.216055
"Mary Pierce"	0.215832
"Renzo Furlan"	0.21521
"Kimiko Date"	0.213121
"Julian Alonso"	0.212781
"Barbara Schett"	0.212225
"Thomas Enqvist"	0.209614
"Wayne Black"	0.209578
"Leander Paes"	0.208801
"Jelena Dokic"	0.20801
"Sebastien Lareau"	0.207641
"Thomas Johansson"	0.205192
"Nicolas Lapentti"	0.204941
"Jana Novotna"	0.204772
"Kristie Boogert"	0.204583
"Mark Woodforde"	0.203847
"Juan Carlos Ferrero"	0.203131
"Marcelo Rios"	0.202649
"John Van Lottum"	0.20254
"Hicham Arazi"	0.200631
"Magnus Larsson"	0.200277
"Peter Nicol"	0.199567
"Carlos Moya"	0.198838
"Mark Philippoussis"	0.198342
"Daniel Nestor"	0.197907
"Byron Black"	0.197631
"Brett Steven"	0.197231
"Alexandra Stevenson"	0.197032
"Alex Corretja"	0.196049
"Gustavo Kuerten"	0.195561
"Venus Williams"	0.195428
"Marat Safin"	0.195331
"Rodney Eyles"	0.194755
"Bohdan Ulihrach"	0.190761
"Petr Korda"	0.189652
"Andres Gomez"	0.186659
"Goran Ivanisevic"	0.186568
Siemerink	0.186167
"Slava Dosedel"	0.185975
Berasategui	0.185973
Swardt	0.185604
"Daniel Vacek"	0.184273
"Jiri Novak"	0.183728
"Michael Stich"	0.18227
"Greg Rusedski"	0.181482
Zamalek	0.180654
"Mirjana Lucic"	0.180622
"Cedric Pioline"	0.180409
"Max Mirnyi"	0.180241
"Jimmy Connors"	0.180018
"Martin Damm"	0.178811
"Mahesh Bhupathi"	0.176088
"Dennis van Scheppingen"	0.173396
"Helena Sukova"	0.172673
"Stefan Edberg"	0.172526
"Wayne Arthurs"	0.171416
"Rika Hiraki"	0.170355
"American Pete Sampras"	0.170169
"Karol Kucera"	0.170077
Independiente	0.16937
"Tim Henman"	0.169188
"Boris Becker"	0.168955
"American Michael Chang"	0.168543
"Yevgeny Kafelnikov"	0.167254
"Gong Zhichao"	0.166149
"Andre Agassi"	0.16601
"Guy Forget"	0.165993
"Pat Rafter"	0.164943
"Dominik Hrbaty"	0.164343
Stoltenberg	0.163339
"Patrick Rafter"	0.163234
"Nicklas Kulti"	0.162384
"Jean-Philippe Gatien"	0.161876
Kroslak	0.160757
"Denisa Chladkova"	0.159692
Ulihrach	0.159571
"Adriana Gersi"	0.159571
"Peter Rasmussen"	0.15809
"American Lindsay Davenport"	0.15718
"Lleyton Hewitt"	0.156077
Dragomir	0.155591
"Russian Yevgeny Kafelnikov"	0.154949
"Zhang Ning"	0.154707
"Anna Kournikova"	0.154592
"Camilla Martin"	0.153615
"Li Ju"	0.153225
Clavet	0.153155
Nacional	0.152258
"Wang Shi-Ting"	0.150024
"Jacco Eltingh"	0.14916
Habsudova	0.148936
"Heryanto Arbi"	0.148333
"Wang Nan"	0.148331
Dosedel	0.147397
Sugiyama	0.146732
"Wang Chen"	0.146691
"Pete Sampras"	0.144851
"Partizan Belgrade"	0.144486
Likhovtseva	0.143261
"Fung Permadi"	0.141243
"Sandon Stolle"	0.140898
"Gong Ruina"	0.140382
"Ye Zhaoying"	0.13994
"Wang Liqin"	0.139066
"Jansher Khan"	0.138264
"Olivier Delaitre"	0.138259
"Zoran Primorac"	0.138153
"Jubilo Iwata"	0.137616
Gremio	0.136789
"American Chanda Rubin"	0.136755
Brondby	0.135955
"Sandra Kleinova"	0.135364
Prinosil	0.135169
"Joko Suprianto"	0.135156
"Martina Hingis"	0.133709
Edberg	0.133567
Enqvist	0.133509
Halard-Decugis	0.133186
Majoli	0.132549
"John Godina"	0.132539
"Allen Johnson"	0.13253
Bruguera	0.131509
"Olympiakos Piraeus"	0.131393
"Kong Linghui"	0.131354
Mantilla	0.13127
"Xia Xuanze"	0.130825
Susanti	0.130692
"Velez Sarsfield"	0.130387
Sanchez-Vicario	0.130285
"Larisa Neiland"	0.129874
Corretja	0.129206
"River Plate"	0.129102
"Steffi Graf"	0.128835
Kucera	0.127689
"Chen Jing"	0.12768
Kafelnikov	0.126943
Bjorkman	0.126943
"Werder Bremen"	0.126683
Rosenborg	0.126016
Kuerten	0.125957
Penarol	0.124487
Schett	0.124156
"Ma Lin"	0.123902
Olympiakos	0.123898
"Mia Audina"	0.123886
"Australian Mark Philippoussis"	0.123216
Raoux	0.123047
Schalken	0.122594
Rosset	0.122467
Moya	0.12178
"Diego Nargiso"	0.121599
Palmeiras	0.121547
Anderlecht	0.121261
"Peter Gade Christensen"	0.120738
"Dalian Wanda"	0.12021
"Jan-Ove Waldner"	0.120108
"Dai Yun"	0.120071
Olimpia	0.118749
Schnyder	0.118035
"Bjorn Borg"	0.117966
Testud	0.117965
"Vladimir Samsonov"	0.11756
"Olympique Marseille"	0.117367
Henman	0.116631
"Brooke Bennett"	0.116499
"Ji Xinpeng"	0.11577
"Chinese Taipei"	0.115752
"Kinder Bologna"	0.115303
"Taufik Hidayat"	0.115046
"Mats Wilander"	0.114954
"Yang Ying"	0.114551
Novotna	0.114459
Coetzer	0.114123
Korda	0.113796
"Ge Fei"	0.113663
"DON JOHNSON"	0.113185
"Borussia Dortmund"	0.112736
"Garry Kasparov"	0.112645
"Susi Susanti"	0.112438
"Colo Colo"	0.112332
Gustafsson	0.112265
Santoro	0.111771
Hendrawan	0.111482
"Guangzhou Apollo"	0.11119
Besiktas	0.110959
"Rashid Sidek"	0.110742
"Sanchez Vicario"	0.110576
"Slovak Republic"	0.110126
Krajicek	0.109844
"Deon Hemmings"	0.109657
Mauresmo	0.109303
Ivanisevic	0.109057
"Dong Jiong"	0.108925
Davenport	0.108681
"Katarina Studenikova"	0.108527
"Slavia Prague"	0.10809
"Liu Guoliang"	0.108025
Hrbaty	0.107775
"Charles Austin"	0.107755
"Liu Yong"	0.107603
"Boca Juniors"	0.107518
Zvereva	0.107508
"Spartak Moscow"	0.107261
"Chicago Fire"	0.106546
"Chen Gang"	0.106396
Seles	0.105303
"Shanghai Shenhua"	0.105284
"VfB Stuttgart"	0.10508
"Jorgen Persson"	0.104981
"Paul Johnson"	0.104922
Damm	0.10436
Bastia	0.10429
Huber	0.104289
Auxerre	0.10383
Sidot	0.103617
Rusedski	0.103428
Lareau	0.103402
Kaiserslautern	0.103232
"Ong Ewe Hock"	0.103146
"Bradford City"	0.103139
"Athletic Bilbao"	0.10301
Benfica	0.10288
"American Todd Martin"	0.102745
Tarango	0.102696
Fenerbahce	0.102434
Piacenza	0.102347
"Michelle Kwan"	0.102181
"John McEnroe"	0.101928
Panathinaikos	0.101688
Spartak	0.10118
"Inger Miller"	0.100243
))
("Amy van Dyken" (desc 1674.23) (sims
"Jenny Thompson"	0.276834
"Gary Hall"	0.262129
"Sandra Voelker"	0.242144
"Lin Li"	0.239268
"Dara Torres"	0.23812
"Gary Hall Jr."	0.231993
"Michelle Smith"	0.22672
"Claudia Poll"	0.223602
"Susie O'Neill"	0.220668
"Denis Pankratov"	0.218603
"Kieren Perkins"	0.214886
"Alexander Popov"	0.210227
"Brooke Bennett"	0.209606
"Tom Dolan"	0.201885
"Penny Heyns"	0.201509
"Liu Limin"	0.19943
"Deon Hemmings"	0.198717
"Felix Savon"	0.19851
"Daniel Kowalski"	0.197982
"Derrick Adkins"	0.184269
"Shannon Miller"	0.183635
"Le Jingyi"	0.182744
"Allen Johnson"	0.177149
"Dominique Moceanu"	0.177058
"Wang Yifu"	0.170795
"Oksana Kazakova"	0.169641
"Chen Lu"	0.169618
"Fatuma Roba"	0.168476
"Fu Mingxia"	0.162655
"Lenny Krayzelburg"	0.159564
"Charles Austin"	0.159546
"Samantha Riley"	0.15945
"Alexei Urmanov"	0.159191
"Yu Zhuocheng"	0.157011
"Oksana Baiul"	0.152948
"Hiroyasu Shimizu"	0.151732
"Svetlana Masterkova"	0.151206
"Alexei Nemov"	0.149874
"Bjarte Engen Vik"	0.149469
"Rexy Mainaky"	0.149288
"Thomas Stangassinger"	0.148904
"Chen Hua"	0.147038
"Marie-Jose Perec"	0.145354
"Fiona May"	0.144026
"Pernilla Wiberg"	0.143794
"Frankie Fredericks"	0.143039
"Katarina Witt"	0.142636
"Cathy Freeman"	0.138914
"John Godina"	0.136641
"Picabo Street"	0.136573
"Tara Lipinski"	0.135136
"Michael Klim"	0.134525
"Katja Seizinger"	0.13037
Shuwei	0.130352
"Elena Berezhnaya"	0.130092
"Irina Privalova"	0.129627
"Maria Butyrskaya"	0.128883
"Marina Anissina"	0.128297
"Grant Hackett"	0.125626
"Blaine Wilson"	0.125018
"Bruny Surin"	0.124975
"Heike Drechsler"	0.124927
"Noureddine Morceli"	0.124299
"Gail Devers"	0.123523
"Svetlana Khorkina"	0.121627
"Al Joyner"	0.121351
"Ian Thorpe"	0.12093
"Deng Yaping"	0.120851
"Simona Amanar"	0.120146
"Mark Crear"	0.118815
"Ricky Subagja"	0.116569
"Wang Tao"	0.116286
"Merlene Ottey"	0.115365
"Wang Junxia"	0.115348
"Irina Slutskaya"	0.114627
"Xiong Ni"	0.114609
"Ge Fei"	0.113987
"David Reid"	0.112579
"Dennis Mitchell"	0.11253
"Michelle Kwan"	0.112094
"Susi Susanti"	0.112078
"Florence Griffith Joyner"	0.111657
"Deborah Compagnoni"	0.111467
Khorkina	0.111197
"Donovan Bailey"	0.111023
"Hilde Gerg"	0.110986
"Chen Jing"	0.11061
"Huang Xu"	0.110353
"Hermann Maier"	0.109389
"Li Jiajun"	0.109166
"Linford Christie"	0.109075
"Michael Johnson"	0.108715
"Chen Yan"	0.108367
"Liu Guoliang"	0.107991
Hoogenband	0.10783
"Mia Audina"	0.107742
"Dan O'Brien"	0.106898
"Liu Xuan"	0.105691
"Li Na"	0.105099
"Wu Yanyan"	0.104643
"Anjelika Krylova"	0.104316
"Anita Wachter"	0.104055
"Dong Jiong"	0.103801
"Jackie Joyner-Kersee"	0.103667
"Inger Miller"	0.101293
"Carl Lewis"	0.101233
"Gianni Romme"	0.0998455
"Rashid Sidek"	0.0997946
kayaker	0.0983895
"Gunda Niemann-Stirnemann"	0.097953
"Cheah Soon Kit"	0.0978783
"Marion Jones"	0.0975544
"Paul Tergat"	0.0969208
"Elvis Stojko"	0.0966846
"Maria Mutola"	0.0964887
"Alberto Tomba"	0.0959007
"Lasse Kjus"	0.0958186
"C.J Hunter"	0.0942868
"Michael Doohan"	0.0942592
"Michael Von Gruenigen"	0.0926948
Devers	0.092447
"Alexei Yagudin"	0.0923793
"Inge de Bruijn"	0.0917062
"Yang Yang"	0.0902335
"Maurice Greene"	0.0901666
"Renate Goetschl"	0.0895523
"Nancy Kerrigan"	0.0890329
"Eddie Cheever"	0.0890307
"Chris Boardman"	0.0888502
"Jan-Ove Waldner"	0.0884766
"Claudia Pechstein"	0.0884761
"Johan Museeuw"	0.0880283
"Randy Barnes"	0.087951
"Moses Tanui"	0.0876058
"Marc Rosset"	0.0865074
"Jearl Miles-Clark"	0.0861768
"Kim Batten"	0.0842521
"Guo Jingjing"	0.0840952
"Jeremy Wotherspoon"	0.0831088
"Ivan Ivankov"	0.0830639
Longo	0.0824598
"Jean-Philippe Gatien"	0.0815675
"Max Biaggi"	0.0792866
"Todd Eldredge"	0.079151
Krayzelburg	0.0785038
"Javier Sotomayor"	0.0782185
"Ato Boldon"	0.0781464
"Iwan Thomas"	0.0779626
"Isolde Kostner"	0.0773856
Doohan	0.0773704
"Kong Linghui"	0.0764168
Torres	0.0764063
"Miguel Indurain"	0.0754943
"Sarah Hughes"	0.0754295
"Wang Wei"	0.0746674
"Sonia O'Sullivan"	0.0736803
Maier	0.0736333
"Angelo Taylor"	0.073016
Ottey	0.0722333
"Kristen Maloney"	0.0720758
"Doug Walker"	0.0720502
"Haile Gebrselassie"	0.07032
"Gong Ruina"	0.0702957
"Buster Douglas"	0.0695988
"Matt Kuchar"	0.0693392
Bayi	0.0689736
"Abraham Olano"	0.0688501
Hendrawan	0.0684063
Makinen	0.0682634
"Wang Chunlu"	0.0681931
Boldon	0.0678941
"Stacy Dragila"	0.0676254
"Jonathan Edwards"	0.067433
"Martina Ertl"	0.0672422
Popov	0.0671084
"Alex Zanardi"	0.0669255
Kjus	0.0669122
Thorpe	0.0666418
"Juha Kankkunen"	0.0666214
"Sheryl Swoopes"	0.0664283
"Vanessa Atler"	0.0663458
rower	0.0663118
"Damon Hill"	0.0661516
"Colin Jackson"	0.0658317
"Johnny Tapia"	0.0657905
"shot putter"	0.065749
"Ivan Pedroso"	0.0656908
"Jon Drummond"	0.0656776
"Martin Schmitt"	0.06553
"Colin McRae"	0.065497
"Tian Liang"	0.0654791
"Khalid Khannouchi"	0.0654499
"Mark Calcavecchia"	0.0653052
"Jorgen Persson"	0.0651566
"Leander Paes"	0.0645724
"Dawn Staley"	0.0638033
"Michael Weiss"	0.0635838
fencer	0.0633389
"De Bruin"	0.0632326
Redgrave	0.0629423
))
(AN-@@ (desc 1680.52) (sims
SU-@@	0.254304
TU-@@@	0.208287
C-@@@	0.205354
MiG-@@	0.200934
C-@@	0.186611
"Cessna @@@"	0.179979
turboprop	0.176577
"Airbus A@@@"	0.165763
Il-@@	0.165282
C-@	0.158968
AWACS	0.157252
Cessna	0.157061
DC-@@	0.156689
A-@@@	0.15665
"Airbus @@@"	0.152144
A@@@-@@@	0.151981
P-@	0.14142
"Stage @"	0.141297
A@@@	0.135472
osprey	0.13511
"electronic warfare"	0.134801
Hercules	0.132853
MD-@@	0.124889
A-@@	0.122827
DC-@	0.122734
Mig	0.12165
biplane	0.121622
F-@@@	0.118025
F-@	0.114354
reconnaissance	0.11414
ValuJet	0.112203
F-@@	0.11146
two-seater	0.111441
MD	0.110628
Orion	0.108997
widebody	0.108037
"Gulf Air"	0.107264
C-@@@J	0.106691
USAir	0.106568
warthog	0.106193
"Indian Airlines"	0.103629
Harrier	0.103358
"Air France Concorde"	0.103051
X-@@	0.0997144
glider	0.0994708
Learjet	0.096935
T-@@	0.0962038
"Ethiopian Airlines"	0.0957708
"China Airlines"	0.0953873
Concorde	0.0927867
"Indian Air Force"	0.0925755
airforce	0.0919588
"attack aircraft"	0.0907391
drone	0.0898181
"Vietnam Airlines"	0.0894187
Play-Doh	0.0887346
F-@@s	0.0877558
B-@@	0.0862017
A@XX	0.0828275
stealth	0.0827245
duster	0.0821204
"Royal Air Force"	0.0812047
RAF	0.0805134
"racing car"	0.0803229
"fighter aircraft"	0.0800845
Prowler	0.0790472
Airbus	0.0788692
"Korean Air"	0.078332
"ground attack"	0.0783012
"Turkish Airlines"	0.0782596
fighter-bombers	0.0780566
gunship	0.0779661
Concordes	0.0778975
EgyptAir	0.0775597
"Kenya Airways"	0.0775486
"American plane"	0.0767395
spotter	0.0766994
"TWA Flight @@@"	0.0760103
"U.S. Air Force"	0.0739336
K-@	0.0737586
B-@	0.0719876
IAF	0.0708769
piper	0.0705656
Embraer	0.0703232
interceptor	0.069664
Apache	0.0685248
McDonnell	0.0678704
"American eagle"	0.0667458
seagull	0.0665229
"Air India"	0.0663361
Sabena	0.0662608
"surface ship"	0.0658519
"patrol boat"	0.0650252
chopper	0.0647137
jetliner	0.0647051
Emery	0.0645678
"El Al"	0.0645623
transporter	0.0645514
Garuda	0.0642705
propeller	0.0638771
kamikaze	0.0637282
"jet plane"	0.0635734
Voyager	0.0635229
JetBlue	0.063133
gunboat	0.0629151
warplane	0.0610982
blimp	0.0609131
F@@	0.0600439
MiGs	0.0597808
"Alaska Airlines"	0.0595466
"Pan Am"	0.0595335
twenty-eight	0.0591087
"Lunar Prospector"	0.0590812
"Swissair Flight @@@"	0.0588711
Iberia	0.0587222
zeppelin	0.0586695
Tomahawk	0.0584806
Airlines	0.0584489
Swissair	0.0583158
Mini-bus	0.0579031
minibuses	0.0578301
A-@	0.0570601
"up to six"	0.0569589
"Delta @"	0.0567521
spaceship	0.0561745
"Thai Airways"	0.0555069
oilseed	0.0554827
B-@s	0.055399
"South African Airways"	0.0552394
V-@@	0.0541835
bombardier	0.0540777
Bumblebee	0.0540203
"Joseph Ralston"	0.0532548
"Three hundred"	0.0530901
Kazakh	0.0528004
"EgyptAir Flight @@@"	0.052633
"Flight @@@"	0.0518188
"Air France"	0.0514383
boarding	0.0513988
Mirage	0.0509508
"Eastern Airlines"	0.0507131
thunderbolt	0.0507087
fumigation	0.0505195
double-decker	0.0501026
"Joint Strike Fighter"	0.0500027
"fire truck"	0.0499921
"Airbus Industrie"	0.0499187
"blue angel"	0.0493726
JAT	0.0490707
"passenger ship"	0.0489596
TWA	0.0487125
U@	0.0486819
blinder	0.0485068
Comair	0.0482613
"China Eastern Airlines"	0.048254
"McDonnell Douglas"	0.0482082
"slide rule"	0.0475549
Asa	0.0475465
"electric car"	0.046979
KLM	0.0469097
nomad	0.0468554
afterburner	0.0466068
"solar cell"	0.0464291
piloting	0.0463592
"Trans World Airlines"	0.0463285
Lieberthal	0.0460136
"sports car"	0.0459796
"spy satellite"	0.0459184
"booster rocket"	0.045617
"U.S. Coast Guard"	0.0454203
chinook	0.0453625
impala	0.045187
UTA	0.0450276
"patrol ship"	0.0448315
"Japan Airlines"	0.0444922
"propulsion system"	0.0444039
airway	0.0443012
"Land Cruiser"	0.0442245
"Beauty Queen"	0.0441074
mini-buses	0.0438214
"compact car"	0.0438064
"another @"	0.0434199
"air filter"	0.0432538
"Miller Park"	0.0431891
Grbac	0.0430405
howitzer	0.043037
"fuel system"	0.0430364
Suppan	0.042993
"Eileen Collins"	0.0425299
MD-@@s	0.0424758
"JFK Jr."	0.0423469
Apaches	0.0421273
"Cathay Pacific Airways"	0.0420952
"trial balloon"	0.0420521
"steam locomotive"	0.0418643
flue	0.0415941
"Virgin Atlantic"	0.0414848
"paper cup"	0.0413245
CFCs	0.0412762
Uzbek	0.0412254
))
(Ana (desc 4828.73) (sims
Edm	0.435062
phi	0.429386
SJ	0.419674
Stl	0.41227
Ott	0.405785
BUF	0.394094
dal	0.365502
Det	0.352717
pho	0.343156
col	0.335191
FLA	0.317443
tor	0.310656
Mon	0.271037
NA	0.201252
Chi	0.151222
Cal	0.147814
Holik	0.134418
Tb	0.127339
LaPointe	0.121388
Pederson	0.0904501
Laperriere	0.0858492
Clara	0.0855609
Arnott	0.085488
Smolinski	0.0845458
Qantas	0.0801143
Marta	0.0800176
Anita	0.0792727
McKay	0.0736531
Maria	0.0726572
"British Foreign Office"	0.0710627
"El Al"	0.0701771
"Air China"	0.0699391
Lufthansa	0.0696907
Berard	0.0696287
Eileen	0.0694254
"Gulf Air"	0.0681332
"Air Lanka"	0.0677089
"Thai Airways"	0.0676659
Robitaille	0.0665215
Samuelsson	0.0664979
"Air Canada"	0.0664269
Sacco	0.0661448
JAL	0.0659951
"British Airways"	0.0645308
Norstrom	0.0644455
Ansett	0.0638627
Barbara	0.0637047
KLM	0.0636727
Swissair	0.0634284
"Japan Airlines"	0.0627691
Iberia	0.0626186
O'Donnell	0.0613507
Juanita	0.0607213
Maureen	0.0603021
Evelyn	0.0599987
"Korean Air"	0.0587719
Kiki	0.0583489
RIAA	0.0572891
Olga	0.0570816
Debra	0.0570051
Kathleen	0.055408
"Kenya Airways"	0.0550623
Kristin	0.0549214
Stevens	0.0545977
Lucia	0.054593
"Air France"	0.0545055
Dragonair	0.0541875
"US Airways"	0.054042
FSA	0.0535752
Emma	0.0531848
Kathy	0.0531506
Teresa	0.0530226
Debbie	0.0522093
"Housing Authority"	0.0519979
Brenda	0.0517715
Sonia	0.0516012
"United Press International"	0.051404
"Southwest Airlines"	0.0513914
"Ethiopian Airlines"	0.0513782
SAA	0.0513565
Carolyn	0.0512621
"United Airlines"	0.051231
ISABEL	0.0510722
Lois	0.0510022
ATA	0.0508373
Miriam	0.050808
TWA	0.0507131
Patricia	0.0504034
DEP	0.0503585
McKenna	0.0502889
"American Airlines"	0.0502154
Terri	0.0501694
Brooke	0.0498044
Hou	0.049183
Aeroflot	0.0490836
"Air India"	0.0490755
Doan	0.048455
Danielle	0.0483986
"Israeli Foreign Ministry"	0.0483297
CAA	0.0479029
Hooper	0.0478688
"U.S. Defense Department"	0.0477909
Edith	0.0475941
Elias	0.0475874
Nina	0.0473041
Vicki	0.0470624
two-minute	0.0469827
Diane	0.0469599
Esther	0.046724
"Singapore Airlines"	0.0466582
"IG Metall"	0.0464069
Lori	0.0463069
Alitalia	0.0462986
Valerie	0.0462917
Julie	0.0462386
"Cathay Pacific"	0.0461809
Tapia	0.0460611
Ba	0.0460206
Frances	0.0458683
"Delta Air Lines"	0.0458193
Pauline	0.0457215
Stephanie	0.0456517
"America West"	0.0456411
Suzanne	0.0456094
JoAnne	0.0455394
Janice	0.045439
FEMA	0.0453833
F.A	0.0453016
SSB	0.0452955
"Virgin Atlantic"	0.0452629
Sheryl	0.0452598
Michele	0.0452535
Cheryl	0.0452295
Julian	0.0452248
Katie	0.0451744
Biman	0.0450045
"Texas Department of Public Safety"	0.0448851
Linda	0.0448114
Margaret	0.0447509
Jacqueline	0.0445947
Christina	0.0445223
Kariya	0.0445089
Andreychuk	0.0444854
Massport	0.0444184
Hamid	0.0443966
"Scotland Yard"	0.0443567
alicia	0.0441865
Sykora	0.0440604
Harvey	0.0439563
Judy	0.0439548
Donna	0.0439067
Sylvia	0.0438915
tarpon	0.043775
Helen	0.043773
Peggy	0.0437481
"Malaysia Airlines"	0.0437443
backpacker	0.0437258
Ellen	0.0436055
Denise	0.0435164
Lydia	0.0434913
"Defense Agency"	0.0434191
Ferraro	0.043412
NHTSA	0.0434053
Jessica	0.043372
Sheraton	0.0433594
Alexandra	0.0433538
AGL	0.0432397
"Agence France Presse"	0.0432223
"Patsy Ramsey"	0.0431173
Natalie	0.0429121
Dorothy	0.0428905
Beatrice	0.042873
"China Airlines"	0.0428029
Cathay	0.0427916
colleen	0.0427757
Cassandra	0.0426416
RAF	0.0425676
Hyatt	0.0425635
Marriott	0.0425505
Pam	0.0424822
Kasoulides	0.0424043
Laurie	0.0423561
"Alaska Airlines"	0.0423522
Mayflower	0.0422654
Shirley	0.0422554
ENTERGY	0.0421519
UPI	0.0419917
Michelle	0.0419221
USAir	0.0417254
Marian	0.0417096
Beth	0.0415964
Erin	0.0415864
"South African Airways"	0.0415368
NiSource	0.0415129
Kimberly	0.0413436
Polly	0.041334
Nanula	0.0411024
Millie	0.0410987
"Fred Meyer"	0.0409852
MEA	0.0409217
))
(anachronism (desc 4263.76) (sims
heretic	0.0835447
anticlimax	0.0772701
"hot potato"	0.0711312
afterthought	0.0694943
pariah	0.0687049
nonevent	0.0666812
anomaly	0.0662789
nonentity	0.0655472
expedient	0.064448
irrelevance	0.0637744
interloper	0.0630616
weakling	0.0629143
"waiting game"	0.0627704
chameleon	0.0614221
kingmaker	0.0603816
overstatement	0.0603136
oversimplification	0.0602109
aberration	0.0596019
recluse	0.0590521
"identity crisis"	0.0584691
oddity	0.0573915
affront	0.0560136
panacea	0.0549326
tyrant	0.0549105
murder-suicide	0.0545832
has-been	0.0543116
ploy	0.0539487
avocation	0.0539425
cliche	0.0536119
misnomer	0.0535478
overkill	0.0535361
cipher	0.0534749
oxymoron	0.0533707
exaggeration	0.0532716
nonsense	0.0530083
"waste of time"	0.0528689
battleground	0.0526543
enigma	0.0520775
Nuisance	0.0516427
static	0.0513314
copout	0.0509738
lark	0.0507667
impediment	0.0504756
footnote	0.0500013
turncoat	0.0498979
rarity	0.0490787
sideshow	0.0489846
"cause celebre"	0.0489445
"soul mate"	0.0489093
twit	0.0487378
anathema	0.0485366
dud	0.0483745
misstatement	0.0482793
bellwether	0.0481871
"object lesson"	0.0479588
vindication	0.0474538
"turning point"	0.0473922
"takeover target"	0.0472209
paradox	0.0470072
gadfly	0.0465589
generalization	0.0462765
superpower	0.0461864
"hot stock"	0.0461839
nonstarter	0.0460703
buzzword	0.0459285
"parlor game"	0.0458908
visionary	0.0457521
shenanigan	0.045498
subgenre	0.044778
savior	0.0444668
automaton	0.0443808
naivete	0.0442114
opportunist	0.0442108
obstructionist	0.0441468
inaccuracy	0.0440924
fad	0.0437943
underachiever	0.0437933
taboo	0.0434772
"turn of events"	0.0434504
thinker	0.0433126
elitist	0.0433088
"Wild Man"	0.0431966
aperitif	0.0430774
novelty	0.0429149
"growth industry"	0.0428576
omen	0.0424489
"power broker"	0.0424382
hothead	0.0424041
"long shot"	0.0424037
Catch-@@	0.0423554
conundrum	0.0423121
"gold standard"	0.0422583
hotbed	0.0417523
vagabond	0.0414915
geopolitics	0.0413705
"chess player"	0.0413491
coincidence	0.0413058
"flash point"	0.0412818
throwback	0.0410526
"invasion of privacy"	0.0410488
betrayal	0.0410461
obfuscation	0.0410132
FOP	0.0409626
"risk taker"	0.0409465
isolationist	0.0408943
verity	0.0407541
typo	0.0407353
loner	0.0407184
"hot issue"	0.0406397
"four-letter word"	0.0406382
also-ran	0.0406039
hiccup	0.0405677
inertia	0.0404666
"stumbling block"	0.0402329
"important person"	0.0401848
fakery	0.0401323
traitor	0.0400437
))
(anagram (desc 1047.44) (sims
SNPs	0.0607926
Igloo	0.0583308
elixir	0.0560777
"hunting ground"	0.0558873
epitaph	0.0557699
"piece of work"	0.0536332
oversimplification	0.0525158
"electric current"	0.0523941
Ringer	0.0519524
"order form"	0.0512602
heartening	0.0505854
emulator	0.0500973
stratum	0.0485815
oxymoron	0.0478814
undesirable	0.0471956
"endowment fund"	0.0470495
"birthday gift"	0.0467669
PACs	0.0466373
"point system"	0.0461963
speller	0.0460542
"embryonic cell"	0.0457865
playlist	0.045415
zinger	0.0443377
yelp	0.043842
grist	0.0437575
"oil slick"	0.0436922
"mailing address"	0.0436614
agglomeration	0.0435865
edginess	0.0434057
striptease	0.0432924
"tool kit"	0.043219
"incentive program"	0.0431612
dissection	0.043084
"extension cord"	0.0430636
"Christmas present"	0.0426713
immunologist	0.0424471
"application program"	0.0423061
roadmap	0.0422962
"ugly duckling"	0.0421201
colorist	0.0420431
eighth-grader	0.0414488
emulsion	0.0413555
"battering ram"	0.0410683
"lynch mob"	0.0409905
Malkovich	0.0409019
appellation	0.0408767
nostrum	0.0407604
pseudonym	0.0407563
"petri dish"	0.0407168
"three words"	0.0406682
manger	0.0405113
"investment company"	0.0400647
"hot potato"	0.0400479
derivation	0.0400254
))
(ANAHEIM (desc 47163) (sims
"Tampa Bay"	0.29279
Detroit	0.269068
Toronto	0.268405
Oakland	0.256849
Pittsburgh	0.25248
Cleveland	0.248215
Montreal	0.245027
"St. Louis"	0.244839
Edmonton	0.238613
Calgary	0.238337
Philadelphia	0.223439
"San Jose"	0.222752
"San Diego"	0.2221
Baltimore	0.221422
Carolina	0.221116
Dallas	0.215571
Vancouver	0.214968
Cincinnati	0.214151
Milwaukee	0.212232
Colorado	0.210511
"Kansas City"	0.210071
Seattle	0.209141
Buffalo	0.20504
Chicago	0.204699
Boston	0.204564
"Chicago White Sox"	0.201057
Phoenix	0.200587
Minnesota	0.193898
Nashville	0.189955
Houston	0.181151
"N.Y. Islanders"	0.179268
Ottawa	0.179142
"Chicago Cubs"	0.175059
"Green Bay"	0.17471
"N.Y. Rangers"	0.17451
Atlanta	0.172854
"Anaheim Angels"	0.172479
Arizona	0.170357
"Los Angeles"	0.17008
Denver	0.168314
ranger	0.16794
"N.Y. Yankees"	0.166125
"San Francisco"	0.16365
"New York Mets"	0.163395
Mets	0.162474
Sacramento	0.161851
"Mighty Ducks"	0.158056
"White Sox"	0.157667
Portland	0.157087
Phillies	0.155063
islander	0.148931
angel	0.148553
Yankee	0.148349
Indianapolis	0.147228
Orlando	0.147046
"blue jay"	0.146943
Giants	0.14632
mariner	0.145527
Miami	0.144899
ASTROS	0.144507
Florida	0.144192
"New Jersey"	0.143366
cub	0.143038
"New Orleans"	0.142993
Jacksonville	0.14212
"Red Sox"	0.141059
"New York Yankees"	0.139051
Padre	0.138285
"Boston Red Sox"	0.137272
Orioles	0.137221
dodger	0.135063
Charlotte	0.134558
"Seattle Mariners"	0.132536
A's	0.131586
Utah	0.130517
brave	0.130367
"Cleveland Indians"	0.128884
marlin	0.128863
"N.Y. Mets"	0.128697
"Texas Rangers"	0.128286
"San Antonio"	0.128282
Texas	0.126887
"St. Louis Cardinals"	0.125009
"Los Angeles Dodgers"	0.124724
"New York Rangers"	0.124295
"San Francisco Giants"	0.124258
"devil ray"	0.124213
"New York Islanders"	0.124059
"New York"	0.124027
diamondback	0.121672
Tampa	0.121666
"Detroit Tigers"	0.120747
"New York Giants"	0.11964
"Atlanta Braves"	0.117973
Indiana	0.117451
"New York Jets"	0.1174
MetroStars	0.117085
Royals	0.115003
cardinal	0.114596
"Kansas City Royals"	0.113645
"Florida Marlins"	0.11345
"San Diego Padres"	0.11342
"Philadelphia Phillies"	0.113058
"Toronto Blue Jays"	0.112872
"Golden State"	0.11267
Sox	0.111721
"Red Wings"	0.111685
"Maple Leafs"	0.111659
"Baltimore Orioles"	0.111275
Tennessee	0.111035
"Pittsburgh Pirates"	0.110199
Columbus	0.109988
oiler	0.108429
"Cincinnati Reds"	0.107852
"Houston Astros"	0.106574
"New England"	0.106474
pirate	0.105614
"Arizona Diamondbacks"	0.105553
Washington	0.104959
Canadiens	0.104657
flyer	0.103804
"Florida Panthers"	0.103749
Rockies	0.103508
Canuck	0.103061
sabre	0.102752
"Montreal Expos"	0.102674
coyote	0.102556
bruin	0.101809
"Colorado Rockies"	0.101804
devil	0.101378
Blackhawks	0.101372
panther	0.10118
"Milwaukee Brewers"	0.100785
Lakers	0.100216
"Oregon State"	0.100191
Memphis	0.100085
LSU	0.100073
clipper	0.0993312
UCLA	0.0989828
Syracuse	0.0982375
Purdue	0.0982176
Minneapolis	0.0978226
"Minnesota Twins"	0.0973739
Expo	0.0970697
Indian	0.0968552
"Florida State"	0.0968173
"Los Angeles Kings"	0.0967863
"Oklahoma State"	0.0965527
"Oakland Athletics"	0.0965311
Knicks	0.0957693
duck	0.0953237
"Kansas State"	0.0943926
"Tampa Bay Devil Rays"	0.0943514
USC	0.093762
"Calgary Flames"	0.0937509
"Penn State"	0.0936576
Seahawks	0.0922263
"Ohio State"	0.0920954
"Los Angeles Lakers"	0.0918741
"Anaheim Mighty Ducks"	0.091793
"Long Beach"	0.0915993
brewer	0.0913553
"Philadelphia Flyers"	0.0901556
Louisville	0.0900443
"Arizona State"	0.0900003
tiger	0.0899702
"Michigan State"	0.0893556
"Iowa State"	0.0893166
"Vancouver Canucks"	0.0892674
Eagles	0.0891264
Stanford	0.0890814
"Edmonton Oilers"	0.0881973
Rutgers	0.0876458
"Las Vegas"	0.0875806
Kentucky	0.0873913
"Texas Tech"	0.0872573
Redskin	0.086621
"Salt Lake City"	0.0864995
Celtics	0.0860774
Nebraska	0.0858129
"Washington State"	0.0857147
"Dallas Stars"	0.0855185
Vanderbilt	0.0854167
BEARS	0.085344
wildcat	0.0849496
"Buffalo Sabres"	0.0847127
"Carolina Hurricanes"	0.0844807
"Chicago Blackhawks"	0.0834499
Oklahoma	0.0832765
Providence	0.0829412
"Yankee Stadium"	0.0828263
Hartford	0.0824808
Richmond	0.0819408
"Montreal Canadiens"	0.0818813
Bengals	0.081814
Baylor	0.0817872
Pepperdine	0.0817601
"Mississippi State"	0.0817342
"Georgia Tech"	0.0814246
"New Jersey Devils"	0.0808736
))
("Anaheim Angels" (desc 16299) (sims
"Texas Rangers"	0.255899
"Los Angeles Dodgers"	0.25143
"Detroit Tigers"	0.248055
"Boston Red Sox"	0.246936
"Arizona Diamondbacks"	0.246608
"San Francisco Giants"	0.243594
"New York Mets"	0.242796
"Colorado Rockies"	0.240603
"Oakland Athletics"	0.240586
"Seattle Mariners"	0.239921
"San Diego Padres"	0.239118
"Cleveland Indians"	0.237823
"Houston Astros"	0.236499
"Baltimore Orioles"	0.235473
"Tampa Bay Devil Rays"	0.235436
"Minnesota Twins"	0.233523
"Cincinnati Reds"	0.228182
"Kansas City Royals"	0.226391
"Atlanta Braves"	0.216482
"St. Louis Cardinals"	0.215144
"Chicago Cubs"	0.213405
"Chicago White Sox"	0.211738
"Pittsburgh Pirates"	0.208966
"Milwaukee Brewers"	0.204259
"Florida Marlins"	0.203026
angel	0.201822
"New York Yankees"	0.200604
"Toronto Blue Jays"	0.192163
"Montreal Expos"	0.190156
diamondback	0.17664
"White Sox"	0.176368
Orioles	0.176194
Phillies	0.175023
ANAHEIM	0.172479
"blue jay"	0.168148
Padre	0.167455
"Red Sox"	0.166963
mariner	0.166779
Mets	0.164407
ASTROS	0.162894
"Philadelphia Phillies"	0.160003
A's	0.157595
dodger	0.156306
Giants	0.15505
brave	0.146064
ranger	0.145352
"devil ray"	0.143706
"California Angels"	0.142428
Yankee	0.13854
cub	0.13739
"Florida Panthers"	0.136398
Sox	0.131796
"Calgary Flames"	0.131599
cardinal	0.130242
"Phoenix Coyotes"	0.127407
"Washington Redskins"	0.127203
"Carolina Hurricanes"	0.126028
"San Jose Sharks"	0.121464
"Tampa Bay"	0.121172
Oakland	0.120834
marlin	0.120666
"Washington Capitals"	0.11947
"Edmonton Oilers"	0.119451
"Arizona Cardinals"	0.11872
"Dallas Cowboys"	0.117402
"Dallas Burn"	0.116527
"Phoenix Suns"	0.116291
"Vancouver Canucks"	0.115895
Cleveland	0.115422
"Indianapolis Colts"	0.113593
"Miami Heat"	0.112271
Rockies	0.11194
"Golden State Warriors"	0.111682
"New York Giants"	0.111639
"New York Rangers"	0.111108
"Miami Dolphins"	0.11108
Expo	0.110919
"Los Angeles Lakers"	0.110891
"Dallas Stars"	0.110727
"Ottawa Senators"	0.109485
"Indiana Pacers"	0.108921
"Minnesota Timberwolves"	0.108728
"Toronto Maple Leafs"	0.107911
"Detroit Pistons"	0.106794
Royals	0.106672
"Los Angeles Kings"	0.106612
"Green Bay Packers"	0.10618
"Portland Trail Blazers"	0.106113
"Seattle Seahawks"	0.105719
MetroStars	0.105308
"Utah Jazz"	0.104997
"San Diego"	0.104573
"San Antonio Spurs"	0.104144
"New Jersey Devils"	0.103971
"Montreal Canadiens"	0.103948
brewer	0.103893
Canuck	0.103678
"New York Knicks"	0.103634
"Chicago Blackhawks"	0.1034
"Sacramento Kings"	0.102898
"Buffalo Sabres"	0.102609
"Brooklyn Dodgers"	0.102223
Indian	0.102048
"Colorado Avalanche"	0.102003
"New York Liberty"	0.101815
"Chicago Bears"	0.101454
"Orlando Magic"	0.101047
"Houston Rockets"	0.100567
pirate	0.100304
"Pittsburgh Penguins"	0.100219
"Philadelphia Flyers"	0.100082
Toronto	0.0996367
"Detroit Red Wings"	0.0994005
panther	0.0989645
"Tampa Bay Lightning"	0.098619
"Maple Leafs"	0.0985076
Seattle	0.097899
"Chicago Fire"	0.0978573
"Philadelphia Eagles"	0.0974427
Cincinnati	0.0969651
"D.C. United"	0.0963767
"Minnesota Vikings"	0.0961987
"Vancouver Grizzlies"	0.0961051
"Red Wings"	0.0959867
Seahawks	0.0954773
"Nashville Predators"	0.0951437
"Atlanta Hawks"	0.0949477
clipper	0.0946544
Baltimore	0.0943332
Redskin	0.0937259
"Tennessee Titans"	0.0936607
"St. Louis Rams"	0.0935794
Lakers	0.093263
"Los Angeles Clippers"	0.0930741
"Mighty Ducks"	0.0928915
"New York Islanders"	0.0927603
Arizona	0.0924601
"San Francisco @@ers"	0.0924209
"Denver Broncos"	0.0922831
Celtics	0.0918418
"Cleveland Browns"	0.0918048
"St. Louis Blues"	0.0916099
"Oakland Raiders"	0.0915065
"Kansas City Chiefs"	0.0907259
tiger	0.090549
"Buffalo Bills"	0.0900783
Milwaukee	0.0898161
"San Diego Chargers"	0.0891735
"New York Jets"	0.0890089
Bengals	0.0888622
Boston	0.0880451
"St. Louis"	0.0875817
oiler	0.0875433
"Milwaukee Bucks"	0.0873464
Detroit	0.0872881
USC	0.0870745
twin	0.0869323
"Denver Nuggets"	0.0867625
"Carolina Panthers"	0.0863686
"Boston Bruins"	0.0862895
"Phenix City"	0.086271
"Charlotte Hornets"	0.0860727
Knicks	0.0860172
"Washington Wizards"	0.0856047
Colorado	0.085499
"Arizona State"	0.0854703
"Dallas Mavericks"	0.0843929
"New York-New Jersey MetroStars"	0.0842865
"Trail Blazers"	0.0841566
pacer	0.0840613
"ATLANTA FALCONS"	0.0839696
bruin	0.0838632
"Seibu Lions"	0.0836786
"Baltimore Ravens"	0.0831665
Eagles	0.0827918
"Miami Fusion"	0.0826923
flyer	0.0825895
"Detroit Lions"	0.08258
BEARS	0.0824204
Sonics	0.0822215
"Chicago Bulls"	0.081921
falcon	0.0815189
coyote	0.0809831
packer	0.0808871
Montreal	0.0807333
Pittsburgh	0.0804675
red	0.0804026
"Seattle SuperSonics"	0.0803975
"Boston Celtics"	0.0797947
Edmonton	0.079309
Minnesota	0.0792884
"Kansas City"	0.0792636
"American League"	0.0790197
Purdue	0.0788241
LSU	0.0784644
"Utah State"	0.0782734
islander	0.0781198
Houston	0.0778832
"National League"	0.0778111
"New Orleans Saints"	0.0778003
))
("Anaheim Mighty Ducks" (desc 2244.76) (sims
"Mighty Ducks"	0.257351
"Atlanta Thrashers"	0.236933
"Edmonton Oilers"	0.219735
"San Jose Sharks"	0.203236
"Washington Capitals"	0.196678
"New York-New Jersey MetroStars"	0.188977
"Buffalo Sabres"	0.18441
"Toronto Maple Leafs"	0.176593
"Chicago Blackhawks"	0.175414
"St. Louis Blues"	0.175309
"Los Angeles Kings"	0.172756
"Phoenix Coyotes"	0.170332
"Pittsburgh Penguins"	0.16966
"Calgary Flames"	0.168567
"New York Rangers"	0.162767
"Florida Panthers"	0.162559
"Detroit Red Wings"	0.161616
"Vancouver Canucks"	0.157945
"Philadelphia Flyers"	0.153274
"Nashville Predators"	0.152226
"Miami Fusion"	0.1506
"Dallas Burn"	0.146899
"Colorado Avalanche"	0.143918
"Dallas Stars"	0.139541
"Tampa Bay Lightning"	0.139069
"New York Islanders"	0.13793
"Los Angeles Galaxy"	0.136942
"Seibu Lions"	0.136615
"Boston Bruins"	0.132741
Unh	0.126634
"Ottawa Senators"	0.124224
"Milwaukee Brewers"	0.123656
"New York Liberty"	0.118028
"Denver Nuggets"	0.11436
"New Jersey Devils"	0.113907
"Phoenix Mercury"	0.113828
"Yokohama Baystars"	0.112943
"Milwaukee Bucks"	0.1121
"Los Angeles Sparks"	0.110623
thrasher	0.110381
"Montreal Canadiens"	0.109785
"Golden State Warriors"	0.108255
"CHARLOTTE STING"	0.107253
"Carolina Hurricanes"	0.105205
"Chicago Fire"	0.104618
"Charlotte Hornets"	0.104214
"Minnesota Twins"	0.103983
"Atlanta Hawks"	0.103589
"Dallas Mavericks"	0.103171
"Cleveland Cavaliers"	0.102999
Canadiens	0.102582
"Kansas City Royals"	0.10247
"Toronto Blue Jays"	0.10236
"Washington Wizards"	0.101228
Blackhawks	0.100786
"Maple Leafs"	0.100046
"Oakland Athletics"	0.0964675
"Washington Mystics"	0.0964566
"Toronto Raptors"	0.0961611
"Detroit Tigers"	0.0959311
"Baltimore Colts"	0.0953473
MetroStars	0.0950105
"American Chanda Rubin"	0.094243
"San Diego Padres"	0.0940006
Canuck	0.0939189
"Orlando Magic"	0.0938022
Timberwolves	0.0935425
"Vancouver Grizzlies"	0.0934416
"Fighting Irish"	0.0926361
"Colorado Rockies"	0.0924559
ANAHEIM	0.091793
Hawkeyes	0.0917042
Edberg	0.0915912
"Texas Rangers"	0.0903384
"D.C. United"	0.0890813
oiler	0.0890758
"San Diego Chargers"	0.0889769
"Red Wings"	0.0888908
"Philadelphia Phillies"	0.0880537
"San Francisco Giants"	0.0880066
"Kansas City Chiefs"	0.0876935
"Tennessee Titans"	0.0875903
Berasategui	0.0874755
Springbok	0.0873278
"Pittsburgh Pirates"	0.0872959
Supersonics	0.0872807
"Detroit Pistons"	0.0872332
Gremio	0.0872006
"Seattle Mariners"	0.0871034
"Portland Trail Blazers"	0.0869619
Shenhua	0.0869373
UAB	0.0864027
Kremer	0.086188
"Phoenix Suns"	0.0859291
Spartak	0.0856719
islander	0.0852106
"Sacramento Kings"	0.0850815
"Utah State"	0.0849874
sabre	0.0847159
"Los Angeles Dodgers"	0.084634
"Seattle SuperSonics"	0.0840005
"Tampa Bay Buccaneers"	0.0837348
grizzly	0.0836908
"New Orleans Saints"	0.0835572
"Chicago Bears"	0.0829258
"Washington Redskins"	0.081924
"Los Angeles Lakers"	0.0817607
Likhovtseva	0.0813909
Av	0.0813734
"Boston Celtics"	0.0804914
"Cincinnati Bengals"	0.0803518
"Seattle Seahawks"	0.0793454
Tarango	0.0792794
"New Jersey Nets"	0.0790653
Illini	0.0789142
"Miami Heat"	0.0788375
"Indianapolis Colts"	0.0788302
"Houston Astros"	0.0787137
"Philadelphia Eagles"	0.0785432
Schalke	0.0783011
A's	0.0781725
"Chicago White Sox"	0.0772849
Lobos	0.0770397
"Arizona Diamondbacks"	0.076754
"Minnesota Timberwolves"	0.076655
flyer	0.0764762
"Indiana Pacers"	0.076391
"Los Angeles Clippers"	0.0763898
Iona	0.0762997
coyote	0.0762522
Nicol	0.0760642
Lindland	0.0760365
Kashima	0.0759708
Cavs	0.0756416
"Carolina Panthers"	0.0756118
Susanti	0.075555
"Leicester City"	0.0754479
Grambling	0.0744935
"Tar Heels"	0.0743691
corinthian	0.0739908
"St. Louis Cardinals"	0.0738199
Mantilla	0.0737964
"Cincinnati Reds"	0.0735298
"Dalian Wanda"	0.0733144
Rosenborg	0.073118
"American Michael Chang"	0.07291
NAU	0.0729062
Jonsson	0.0728857
panther	0.0728053
"Tampa Bay Devil Rays"	0.0726444
"New York Giants"	0.0725163
"Oakland Raiders"	0.0724456
sixer	0.0724222
Cruzeiro	0.0722367
clipper	0.0722212
"San Lorenzo"	0.0721278
"Green Bay Packers"	0.0720872
"San Antonio Spurs"	0.0718362
"San Jose State"	0.0716874
"Chicago Bulls"	0.0716399
"Trail Blazers"	0.0716246
"Cleveland Indians"	0.071284
"Baltimore Orioles"	0.0712307
Bastia	0.071034
"Phenix City"	0.0710161
"Miami Dolphins"	0.0707073
"Team USA"	0.0705977
cavalier	0.0704108
"Cleveland Browns"	0.0703074
"Montreal Expos"	0.07002
terrapin	0.0698261
"New York Jets"	0.0697083
Starzz	0.0695513
Nacional	0.069541
gamecock	0.0693047
UA	0.0691248
Uri	0.0691115
penguin	0.0689485
"Buffalo Bills"	0.0689008
Celtics	0.0688027
Sidot	0.068751
"Nottingham Forest"	0.068708
"New York Mets"	0.0687055
Stolle	0.0686885
"Houston Comets"	0.0686876
Wolfpack	0.0684481
Palmeiras	0.0681152
Freiburg	0.0681062
"Old Dominion"	0.0680646
PSV	0.0679021
Rostock	0.0677992
Wilander	0.0677409
"Velez Sarsfield"	0.0677224
"St. Louis Rams"	0.0676653
Espanyol	0.0676305
"New England Patriots"	0.0675391
"Crimson Tide"	0.0675243
packer	0.0670928
"Southern Mississippi"	0.066907
"Atlanta Braves"	0.0668177
))
("Anakin Skywalker" (desc 2310.72) (sims
"Obi-Wan Kenobi"	0.138965
saber	0.0902296
Yoda	0.0897135
"shipwreck survivor"	0.0835316
"bit part"	0.0829644
"Darth Vader"	0.080698
"Natalie Portman"	0.0686564
Englishwoman	0.067135
quadruplet	0.0609985
"John Henry"	0.060526
lass	0.059463
"golden retriever"	0.0576601
"femme fatale"	0.0562839
"Australian Mark Philippoussis"	0.055098
Luca	0.0549157
tomboy	0.0539331
D.J	0.0532506
widower	0.0524992
Maude	0.0511007
"grim reaper"	0.0510862
"blind man"	0.051071
first-grader	0.0509876
Luke	0.0509294
Jacob	0.0504065
supermodel	0.0498231
Tyler	0.0494533
"Azizah Ismail"	0.0494191
"foreign service officer"	0.0492684
Irishmen	0.0485488
"Liam Neeson"	0.0481211
"Richard Williams"	0.0480418
maiden	0.0479445
"wise guy"	0.0476538
cellist	0.047626
Archie	0.0470547
drifter	0.0469295
"good Samaritan"	0.0468024
"exotic dancer"	0.0467759
Sethe	0.0466802
slacker	0.0465603
Sarah	0.0464823
playmate	0.0459693
Carlos	0.0457091
"traveling salesman"	0.0456421
"grizzly bear"	0.0454461
Brit	0.0453224
"Labrador retriever"	0.0452108
Bessie	0.0450579
gelding	0.0450127
waif	0.0448858
nobleman	0.0445798
"Kim Il Sung"	0.0445084
triplet	0.0443157
"nuclear family"	0.0441948
"married man"	0.0441844
Alan	0.0439379
Johnny	0.0439368
thespian	0.0439352
"Martha Moxley"	0.0439244
pug	0.0438607
Mimi	0.0438538
temptress	0.0437294
Speer	0.0437263
"Haley Joel Osment"	0.0436009
Arthur	0.0435649
Gielgud	0.0435616
"North Carolinian"	0.0435575
"opera star"	0.04355
"William Shakespeare"	0.0435251
claimer	0.0434794
"beer drinker"	0.0434578
"guitar player"	0.043192
schoolteacher	0.0431389
Calvin	0.0430701
Sacagawea	0.04307
Schlichtmann	0.0429551
waitress	0.0429172
courtesan	0.0428309
lawman	0.0425337
Noah	0.042512
Bubba	0.0423915
Godot	0.0423612
Ronald	0.0420929
"Peter Pan"	0.0420307
stepmother	0.0420291
violinist	0.0419188
"Rick Rockwell"	0.0418978
TRUANT	0.0417241
Manuel	0.0416716
sociopath	0.0416612
Rick	0.0415263
"eye doctor"	0.0414413
"Underground Railroad"	0.0412021
Walter	0.0411522
Joshua	0.0411093
Steven	0.0410624
Chrissie	0.0410259
divorcee	0.0409812
"con man"	0.0409141
Matthew	0.0407607
"Andy Kaufman"	0.0405912
Kevin	0.0404537
"Sally Hemings"	0.0404192
Ivan	0.0402846
starlet	0.0402445
"quarter horse"	0.0402019
Ding	0.0401959
infantryman	0.0401893
suburbanite	0.0400174
))
(analog (desc 9845.78) (sims
analogue	0.210984
GSM	0.132566
CDMA	0.128561
"closed circuit"	0.122307
"wide screen"	0.122056
BLUETOOTH	0.120243
ISDN	0.114408
digital	0.110656
IC	0.109235
HDTV	0.107262
WAP	0.104066
multichannel	0.103442
GPS	0.101613
"optical fiber"	0.101274
mem	0.0870634
"fiber optics"	0.0868863
audio	0.0859211
SDH	0.0835065
videophone	0.0832386
DSL	0.0828609
multimedia	0.0820934
handheld	0.082064
"radio frequency"	0.0811287
"high frequency"	0.0806877
RAMBUS	0.0796192
ADSL	0.077435
dram	0.0755783
Athlon	0.0750496
microprocessor	0.0747598
broadband	0.0747479
"data communication"	0.0740017
Internet-based	0.0720154
Cyrix	0.0713535
"caller ID"	0.0713488
semiconductor	0.0713294
DV	0.0699151
Ethernet	0.0699146
desktop	0.0695122
"Pentium III"	0.0692885
FM	0.0689265
pager	0.0677582
WebTV	0.0658472
"wireless telephone"	0.0656648
microwave	0.0649615
modem	0.0645938
IP	0.0645024
PC	0.0637493
"Pentium II"	0.0634918
add-on	0.0633687
Midi	0.0631329
"integrated circuit"	0.0625078
"cellular telephone"	0.0619343
"computer hardware"	0.0615361
Intergraph	0.0614074
imaging	0.061042
"disk drive"	0.0609752
IDD	0.0601326
Gigahertz	0.060098
"software product"	0.0599802
"global positioning system"	0.0591642
SOS	0.0581856
Celeron	0.0577511
intranet	0.0577002
processor	0.0575217
Internet@	0.0574882
high-end	0.0571998
Globalstar	0.0568481
"high quality"	0.0568121
beeper	0.0563758
"memory chip"	0.0563006
IDT	0.0562685
telephony	0.0562481
silicon	0.0560677
"cellular phone"	0.0557283
handset	0.0556083
"hand-held computer"	0.0554767
sensing	0.0548602
Pentium	0.0548241
subscription	0.0542928
MP@	0.0542817
"personal computer"	0.0539326
"portable computer"	0.0537435
DSP	0.0534149
"fuel cell"	0.0532991
Iridium	0.0531681
"second hand"	0.0530323
dictation	0.0530291
state-of-the-art	0.0529037
"data processing"	0.0524844
ReplayTV	0.0523193
Sony	0.0523139
sonar	0.0523139
"call waiting"	0.0521678
Panasonic	0.0519749
wireless	0.0518294
VHS	0.0517892
Quicktime	0.0514903
hardware	0.051441
laser	0.0512427
Encryption	0.0512061
radar	0.0507614
C-Span	0.0506164
transistor	0.0503196
playback	0.0502382
K@	0.0499233
"Sprint PCS"	0.0499035
fibre	0.049801
"cable television"	0.0497411
"gas turbine"	0.0495576
"hearing aid"	0.0493056
telemedicine	0.0491864
"cutting edge"	0.0490636
anime	0.048813
clunky	0.0487424
walkie-talkie	0.0482782
HP	0.0480684
filtering	0.04796
ORT	0.0477285
Omnipoint	0.0476487
Bose	0.047553
tabletop	0.0475406
USB	0.0470447
ultrasound	0.0468087
"consumer electronics"	0.0465626
megahertz	0.0462322
Unix	0.0460874
"radio wave"	0.0460528
plasma	0.0460212
cellphone	0.0459646
iTV	0.0458358
Walkman	0.0457569
"desktop computer"	0.0456483
switching	0.045645
antenna	0.045644
"spy satellite"	0.0454999
"laser printer"	0.045386
"mail order"	0.0453645
workstation	0.0452739
vending	0.0451909
Motorola	0.0451555
G@	0.0451383
PlayStation	0.0450704
Telecom	0.0449458
"weather forecasting"	0.0449235
transmission	0.0448976
DirecTV	0.0448317
TiVo	0.0446715
RCN	0.0445761
connectivity	0.0444807
olestra	0.0444755
SCSI	0.0444728
mapping	0.0444704
CBC	0.0443045
iMacs	0.0441224
"high fidelity"	0.0441182
"space age"	0.0439463
navigation	0.0436351
graphics	0.0435988
"phone service"	0.0435735
interface	0.0434034
Nokia	0.0432183
"color television"	0.0431499
aerospace	0.043109
printer	0.04307
Toshiba	0.0429721
forwarding	0.0429364
CRI	0.0428626
telecommunication	0.0427447
inkjet	0.0426804
beepers	0.0425504
demo	0.04254
copier	0.0423617
wristwatch	0.0423284
accelerator	0.042213
"mainframe computer"	0.0420131
broadcasting	0.041859
Dreamcast	0.0418202
"electronic surveillance"	0.0417456
Filtration	0.0416625
camcorder	0.0416052
Kodak	0.0415739
"solar energy"	0.041546
Macintosh	0.0414555
CCTV	0.04144
processing	0.0414061
"Thermo Electron"	0.0412364
networking	0.0412317
prototype	0.0412231
Toysmart	0.0412203
RJR	0.0411694
headset	0.0411268
"night vision"	0.0411204
fiber	0.0410353
"Windows CE"	0.0410329
EMC	0.0410135
Polaroid	0.0410005
server	0.0409801
Philips	0.0409693
hourlong	0.0404212
"traffic control"	0.0403949
))
(analogue (desc 2659.69) (sims
analog	0.210984
SDH	0.13514
CDMA	0.128508
"optical fiber"	0.114322
"radio frequency"	0.0983468
GSM	0.0956856
"closed circuit"	0.0937859
IC	0.0908383
GPS	0.0876355
ISDN	0.0862595
BLUETOOTH	0.0852924
multichannel	0.0833068
"local area network"	0.0798293
"wide screen"	0.0797541
"wireless telephone"	0.0785269
videophone	0.0778144
DSL	0.0768004
"fiber optics"	0.075683
WAP	0.0730238
Filtration	0.0687801
informatics	0.0676457
"high frequency"	0.0663346
"morse code"	0.0656687
"data communication"	0.0639755
E-ZPass	0.0638903
ADSL	0.0637927
sensing	0.0635137
IP	0.0618656
"global positioning system"	0.0617607
led	0.0617096
preachy	0.0616701
DV	0.061184
Midi	0.0606962
"central heating"	0.0597521
telemedicine	0.0596678
"coaxial cable"	0.0572642
Globalstar	0.056978
"caller ID"	0.0568146
Gnutella	0.0563203
fibre	0.0562489
"night vision"	0.0557982
sonar	0.0557347
cellphone	0.0556254
microwave	0.0555005
"radio wave"	0.0554446
"fiber optic cable"	0.0548921
broadband	0.0547603
"inventory control"	0.0545267
synchronization	0.0544663
"all clear"	0.0531868
"high fidelity"	0.0527014
FireWire	0.0526021
"electronic surveillance"	0.0525329
imaging	0.0525204
ABS-CBN	0.0521321
Omnipoint	0.051509
WebTV	0.0514045
visualization	0.0505197
winch	0.0501878
EKG	0.0500596
"data processing"	0.0497208
N@@	0.0496411
"reference point"	0.0496235
CTV	0.0496042
accoutrement	0.0495701
Internet@	0.0495172
"weather forecasting"	0.0493556
triage	0.0486451
refrigeration	0.0485705
carnivore	0.0481488
"Windows Media Player"	0.0479776
"telephone exchange"	0.0474375
"birthday gift"	0.0472666
"portable computer"	0.0471522
"frame of reference"	0.0471429
"electronic warfare"	0.0462436
"magnetic resonance imaging"	0.0462015
"cellular telephone"	0.0460254
"fire control"	0.0459536
Non-governmental	0.045885
Cyrix	0.045509
intranet	0.0450155
"Sprint PCS"	0.0448195
corrective	0.0444763
approximation	0.0442294
pan-European	0.0436945
supercomputer	0.0435771
avionics	0.0435109
"solar power"	0.0434723
"cable television"	0.0433986
"Christmas present"	0.0433279
lifesaving	0.0430251
SOS	0.0430005
jamming	0.0426818
mammography	0.0425751
acoustics	0.0424229
oomph	0.0423981
beeper	0.0423608
distillation	0.0421343
"social insurance"	0.041826
filtering	0.0417336
triangulation	0.0416695
PAX	0.0415958
"job candidate"	0.041549
"local call"	0.0415177
"won-lost record"	0.0413572
plasma	0.0410935
Telecoms	0.0409743
fingerprinting	0.0409439
pyrotechnics	0.0406127
crusher	0.040553
Auger	0.0403404
"traffic control"	0.0403063
ORT	0.0402912
"Weight Watchers"	0.0402666
cryptography	0.0402461
"hunting ground"	0.0402201
pager	0.0400326
))
(analogy (desc 15332.7) (sims
metaphor	0.0914765
comparison	0.0751767
axiom	0.0750811
parallel	0.0710015
"rule of thumb"	0.0706327
adage	0.062331
allusion	0.0618668
phrase	0.0595907
logic	0.0570797
anecdote	0.0567207
cliche	0.0543862
hypothesis	0.0543476
inference	0.0542658
rationale	0.0542474
adjective	0.0542469
similarity	0.0540736
imagery	0.0524393
trivia	0.0522188
description	0.0521653
coda	0.0521586
theory	0.0517378
guess	0.0515336
observation	0.0514069
approximation	0.0504451
terminology	0.0503422
reference	0.0500646
parable	0.0500127
presumption	0.049578
epitaph	0.0493816
distinction	0.0487252
scenario	0.0486655
tradeoff	0.0485777
definition	0.0482871
correlation	0.0479254
conclusion	0.0478247
explanation	0.0475988
superlative	0.0473134
stat	0.0472684
footnote	0.047222
"choice of words"	0.0466567
Truism	0.0464075
assumption	0.0463104
conceit	0.0458952
notion	0.0457555
moral	0.0456373
reasoning	0.0456235
equation	0.0455357
verity	0.0454978
corollary	0.0451524
suggestion	0.0451412
remedy	0.0451398
lore	0.0450004
pedigree	0.0449611
gag	0.0449415
legacy	0.0448097
moniker	0.0447347
conundrum	0.0447297
gimmick	0.0444032
"sales pitch"	0.0443876
euphemism	0.0443184
prediction	0.0441478
premise	0.0439107
stereotype	0.0438971
mantra	0.0437083
irony	0.0433893
"frame of reference"	0.0432545
humor	0.0431689
interpretation	0.0430154
precedent	0.0425477
paradox	0.0423212
symmetry	0.0421703
generalization	0.0421549
yardstick	0.0420957
tie-in	0.0420401
characterization	0.0419858
subplot	0.041883
flashback	0.0417685
Formula	0.0417661
subtext	0.0416039
climax	0.0415266
nickname	0.0412571
symbolism	0.0412482
mentality	0.0410474
"catalytic converter"	0.0409802
instinct	0.0409666
wisdom	0.0405858
caveat	0.0405608
pseudonym	0.0405244
"two words"	0.0404887
summation	0.0401715
refrain	0.0401226
sobriquet	0.040025
Gambit	0.0400082
))
(analyses (desc 5939.19) (sims
analysis	0.12238
evaluation	0.0912812
reexamination	0.0835855
monograph	0.0824265
assessment	0.0818292
"detective work"	0.0803579
calculation	0.0791659
monitoring	0.0781737
examination	0.0758295
perusal	0.0753417
"medical examination"	0.0743898
appraisal	0.0737324
audit	0.0726838
Compendium	0.0694768
simulation	0.0691006
spacewalks	0.0687447
critique	0.06857
overview	0.0684425
documentation	0.0673945
ream	0.0660586
corroboration	0.064893
explication	0.0646501
measurement	0.0643608
"medical exam"	0.0622779
"Field Poll"	0.0609642
"test data"	0.0608616
"chemical analysis"	0.0608563
summary	0.0603204
reevaluation	0.0600738
interpretation	0.0598609
observation	0.0596876
autopsy	0.0594544
biopsy	0.0592384
underpinnings	0.0571717
"medical report"	0.0567295
graph	0.0557872
retrospectives	0.0556702
"space walk"	0.0555852
parsing	0.0555295
reassessment	0.0552654
snapshot	0.0547986
modeling	0.0544644
sampling	0.0539358
recounting	0.0539178
dissection	0.0533807
restatement	0.0532065
declassification	0.0531041
peculiarity	0.0529874
disclosure	0.0522766
revision	0.0520699
standardization	0.0520226
"sneak preview"	0.0519581
explanation	0.0517256
compilation	0.0513185
trove	0.0511752
summation	0.0509555
ultrasound	0.0508039
blending	0.0507877
reappraisal	0.0505529
slew	0.0504582
vagary	0.0502053
hypotheses	0.04998
"Revised Version"	0.0499427
postmortem	0.0497668
excavation	0.0497415
"progress report"	0.0496782
"Gallup Poll"	0.0494137
tracking	0.0492974
indicator	0.0491185
fact-finding	0.0489931
indicative	0.0489848
misreading	0.048749
chronology	0.0485927
printout	0.0485474
wide-range	0.048251
modification	0.048128
computation	0.0480198
recitation	0.047598
approximation	0.0473915
indication	0.0473548
clarification	0.0473026
validation	0.0472941
calculus	0.0472763
"field trial"	0.0472475
belt-tightening	0.0471985
predictor	0.0471147
sleuthing	0.0469925
barometer	0.0468582
guesswork	0.0468196
myriad	0.0467779
booklet	0.04671
"financial statement"	0.0466378
welter	0.0464737
schematic	0.0463412
manipulation	0.0462772
transcription	0.0462204
Triptych	0.0461115
self-criticism	0.0460579
"blood test"	0.0460548
"basic concept"	0.0460482
discoverer	0.0457221
rundown	0.0455325
worksheet	0.0453479
tabulation	0.0452758
"choice of words"	0.045251
misinterpretation	0.0452213
scrutiny	0.0450606
"field work"	0.0450294
deterioration	0.0450267
dramatization	0.0449576
tripling	0.0448088
reflection	0.0448004
divestitures	0.0447766
fieldwork	0.0447677
refinement	0.0447286
wattage	0.0446758
"About @@ per cent"	0.044624
timeline	0.0445782
misrepresentation	0.0445516
"earnings disappointment"	0.0444134
spinoffs	0.0443967
usefulness	0.0443452
"roughly two-thirds"	0.0443031
MRI	0.0442655
Bibliography	0.0439143
"two boxes"	0.0436103
fingerprinting	0.0435524
parley	0.043497
verification	0.043492
doubling	0.0433888
tutorial	0.0433087
thoroughness	0.0431687
"leading indicator"	0.0431114
checklist	0.0428706
"report card"	0.0428318
hand-holding	0.042804
validity	0.0426666
breaking	0.0424322
synopsis	0.0423935
confluence	0.042389
"safety feature"	0.0423367
databank	0.0422575
debriefing	0.0421516
rarest	0.04205
continuance	0.0419076
outcroppings	0.0418145
"new edition"	0.0416207
arithmetic	0.0415997
transcript	0.0415712
nicety	0.0414011
checkup	0.0412343
Convergence	0.0412333
"Peony Pavilion"	0.0412175
inkling	0.0411127
complexity	0.041056
multitude	0.0410506
methodology	0.0409679
screenful	0.0409602
minicamps	0.0409352
"reference book"	0.0409159
photocopy	0.0408873
mishandling	0.0408525
circuitry	0.0408521
"computer program"	0.040802
"Seventy-five percent"	0.0406664
glossary	0.0406506
duplication	0.0406447
reconfiguration	0.0406139
elaboration	0.0405624
Crucible	0.0405416
"film clip"	0.0404991
finds	0.0404492
cassette	0.0404341
webcasts	0.0403936
tome	0.0402041
synthesis	0.0401728
plethora	0.0401271
"reference work"	0.0400765
facet	0.0400656
juxtaposition	0.0400622
parameter	0.0400241
"business plan"	0.0400187
))
(analysis (desc 94862.2) (sims
study	0.180033
assessment	0.178683
evaluation	0.161858
research	0.156383
examination	0.153079
review	0.150342
survey	0.147811
report	0.134538
finding	0.125996
testing	0.125256
calculation	0.124828
analyses	0.12238
audit	0.121729
data	0.117126
observation	0.11448
statistic	0.112797
appraisal	0.112794
summary	0.112437
investigation	0.109438
interpretation	0.108699
information	0.103889
commentary	0.102434
test	0.102015
opinion	0.101664
discussion	0.101465
prediction	0.100759
description	0.0994408
estimate	0.0977383
measurement	0.0969891
planning	0.095873
evidence	0.0958126
recommendation	0.0944188
comment	0.0932827
theory	0.0926534
reporting	0.0916648
result	0.0913637
document	0.0912771
article	0.091207
detail	0.0910444
advice	0.0908655
strategy	0.0897633
autopsy	0.0894229
identification	0.0893541
conclusion	0.088942
explanation	0.0887718
projection	0.0885027
management	0.088364
inspection	0.0879638
forecast	0.0862483
accounting	0.0860862
disclosure	0.0860417
documentation	0.0858297
experiment	0.0856588
presentation	0.0852807
story	0.0844641
critique	0.0843551
sampling	0.0842831
database	0.084083
design	0.0840563
statement	0.0838991
knowledge	0.0838889
method	0.0836611
understanding	0.083434
judgment	0.0833066
interview	0.0829646
suggestion	0.0826376
inquiry	0.0825084
comparison	0.0822146
poll	0.081834
overview	0.081714
technique	0.0813819
guideline	0.0809104
criticism	0.0798445
essay	0.0794125
simulation	0.0792838
sample	0.0787999
profile	0.0786874
testimony	0.0779591
revision	0.0778636
program	0.0772231
view	0.0771601
science	0.0771168
development	0.0769976
engineering	0.0769796
approach	0.0768784
procedure	0.0766812
application	0.0766608
text	0.0765997
decision	0.0764656
consideration	0.0761187
collection	0.0757871
account	0.0756704
preparation	0.0755906
transcript	0.0755247
consultation	0.0754794
logic	0.0754683
policy	0.0754445
training	0.0754204
warning	0.07525
treatment	0.0752408
exploration	0.0751941
scrutiny	0.0750231
intelligence	0.0749227
filing	0.0745204
editorial	0.0744382
screening	0.0743355
reasoning	0.0743316
verification	0.0741928
surveillance	0.0741008
publication	0.074001
monitoring	0.0738583
communication	0.0737286
argument	0.0737104
translation	0.0736982
compilation	0.0736945
book	0.0736365
picture	0.0735763
scan	0.0734755
map	0.0732736
diagnosis	0.073059
coverage	0.0730477
insight	0.0726096
list	0.0723181
detection	0.0721568
excavation	0.0719367
discovery	0.0719277
idea	0.0719082
perspective	0.0719049
update	0.0716875
content	0.0716605
processing	0.0716497
writing	0.0715082
action	0.0711178
technology	0.070937
methodology	0.0702801
aspect	0.0702225
dissemination	0.0702075
history	0.0701713
question	0.0701632
fact	0.0701569
letter	0.0697024
regulation	0.0696975
news	0.0693429
instruction	0.0693066
biography	0.0692186
thinking	0.0691244
marketing	0.0689087
reflection	0.0688815
measure	0.0688395
oversight	0.0688104
forecasting	0.0687126
feature	0.0686168
system	0.0684021
ruling	0.0683973
search	0.0683189
material	0.0680852
copy	0.0679356
definition	0.0676
concept	0.0674549
kind	0.0672348
proposal	0.0672073
plan	0.0671075
vision	0.0670784
deliberation	0.0668573
manipulation	0.0667166
memo	0.0666803
response	0.06646
number	0.0663845
debate	0.0663373
version	0.0663339
thought	0.0662914
characterization	0.0662321
briefing	0.0661772
reading	0.0661768
imaging	0.0661641
Promotion	0.0661399
census	0.0661087
photograph	0.0660292
"background check"	0.0659637
"blood test"	0.0659389
awareness	0.0658602
probe	0.0658448
preservation	0.0656508
editing	0.0656086
experience	0.0653005
pattern	0.0652492
process	0.0651342
distribution	0.0650789
handling	0.0650703
graphics	0.0650284
assertion	0.0648577
perception	0.0648496
column	0.0648012
announcement	0.0645965
note	0.0643596
operation	0.0643513
standard	0.0642539
Advertising	0.0641397
software	0.0640939
teaching	0.0639772
))
(analyst (desc 148869) (sims
economist	0.26798
"Wall Street analyst"	0.18872
strategist	0.181104
"media analyst"	0.181014
expert	0.177624
"telecommunications analyst"	0.157478
"banking analyst"	0.146988
commentator	0.14581
"market strategist"	0.14436
"investment strategist"	0.139658
executive	0.138289
banker	0.134406
"managing director"	0.13368
"investment banker"	0.133618
researcher	0.132529
observer	0.132171
consultant	0.130773
trader	0.130517
official	0.12725
specialist	0.127097
scientist	0.124654
investor	0.117504
manager	0.116989
scholar	0.116837
critic	0.114523
pundit	0.11225
educator	0.109827
diplomat	0.109808
forecaster	0.109635
historian	0.10875
watcher	0.108413
lawyer	0.107958
"legal expert"	0.106645
journalist	0.105298
regulator	0.104011
"business leader"	0.103679
advocate	0.102378
adviser	0.10016
broker	0.0999936
environmentalist	0.0998195
investigator	0.0996048
reporter	0.098934
insider	0.0980981
planner	0.0965676
director	0.0964463
lawmaker	0.0961966
politician	0.0949253
doctor	0.0945866
academic	0.0920001
"business executive"	0.0897757
aide	0.0892009
engineer	0.0888956
Attorney	0.0886068
activist	0.0884429
professional	0.0881793
"policy maker"	0.0881691
correspondent	0.0877974
legislator	0.0874313
lobbyist	0.0856116
administrator	0.0849754
businessmen	0.083512
"market participant"	0.0834097
"venture capitalist"	0.0828732
professor	0.082758
firm	0.0826345
writer	0.0825966
employee	0.0823757
colleague	0.0822258
dealer	0.0821006
editor	0.0819382
prosecutor	0.081866
pollster	0.0804674
psychologist	0.0801659
broadcaster	0.0797482
"research director"	0.078552
auditor	0.0780486
"vice president"	0.0779274
policy-makers	0.0778962
accountant	0.0774777
officer	0.0773526
media	0.0772833
entrepreneur	0.0770233
Programmer	0.0768711
leader	0.0767954
representative	0.0756994
developer	0.0753609
spokesman	0.0753004
scout	0.0752516
company	0.0751666
fellow	0.0748631
member	0.0747817
"currency trader"	0.0746985
Republican	0.0744249
physician	0.0739449
associate	0.073857
biologist	0.0736652
consumer	0.0736235
voter	0.0734368
reviewer	0.0728267
Democrat	0.0724853
producer	0.0721996
staffer	0.0720558
"senior vice president"	0.0719902
worker	0.0718044
stockbroker	0.071535
technician	0.0712216
"political scientist"	0.0710552
"government officials"	0.0709356
"board member"	0.0708584
research	0.0707018
"federal official"	0.0703684
operator	0.0700507
"political leader"	0.0699192
designer	0.0697589
supporter	0.0697587
owner	0.0696266
participant	0.0695367
"business community"	0.0693598
publisher	0.0693276
astronomer	0.0690734
many	0.0689409
teacher	0.0685565
sociologist	0.0684167
meteorologist	0.06836
chief	0.0683031
resident	0.0682417
"corporate executive"	0.06814
"consulting firm"	0.0679741
congressmen	0.0679706
group	0.0679215
organizer	0.0679186
"labor leader"	0.0678823
author	0.0678039
others	0.0677177
"staff member"	0.0675735
counselor	0.0674281
public	0.0673856
Reader	0.0672205
customer	0.0669871
manufacturer	0.0669122
partner	0.0668196
coach	0.0667885
authority	0.0666659
"Wall Street"	0.0665235
policymakers	0.0664378
agent	0.0662883
shareholder	0.0658399
supervisor	0.065471
fan	0.065463
columnist	0.0654026
staff	0.0653309
advertiser	0.0652471
judge	0.0651534
Industrialist	0.0651132
"top executive"	0.0650179
industry	0.0648899
spokeswoman	0.0648591
President	0.0645747
people	0.0645514
agency	0.0645461
retailer	0.0643974
senator	0.0639409
bureaucrat	0.0637196
client	0.0628938
spokesmen	0.0627941
user	0.0626471
Greenspan	0.0626251
employer	0.0624361
psychiatrist	0.0623366
"council member"	0.0623018
archaeologist	0.0622499
chairman	0.0620582
"travel agent"	0.0618733
"religious leader"	0.0617712
statistician	0.0617658
press	0.0615603
buyer	0.0615133
"consulting company"	0.0613481
"think tank"	0.0612677
commissioner	0.0611643
student	0.0608731
"elected official"	0.0607647
backer	0.0607356
"general manager"	0.0606749
"news media"	0.0606269
assistant	0.0606258
underwriter	0.0605734
"military officer"	0.0605108
delegate	0.0600993
source	0.0600659
report	0.0599723
recruiter	0.0598886
intellectual	0.0597484
secretary	0.0597064
estimate	0.0595812
principal	0.0595656
parent	0.0594985
financier	0.0592831
"brokerage firm"	0.0592021
skeptic	0.0590692
))
(analyzer (desc 1643.79) (sims
defibrillator	0.11523
motherboards	0.108642
endoscope	0.0967452
scanner	0.0898324
"sewing machine"	0.0856467
reagent	0.0833646
"storage device"	0.0829391
"paper cup"	0.0783416
potty	0.0751807
"point system"	0.0735583
"hypodermic needle"	0.0724661
purifier	0.0717812
"weather station"	0.0691995
"CD player"	0.0689816
Projector	0.0664114
cudgel	0.064414
"fax machine"	0.063538
"X-ray machine"	0.062818
"hearing aid"	0.0627633
"water heater"	0.0618621
"test equipment"	0.0618168
"electronic device"	0.0615383
converter	0.0611137
algorithm	0.0610176
"mechanical device"	0.0603037
fingerprinting	0.0596052
"hair dryer"	0.0595537
altimeter	0.0594301
synthesizers	0.0592779
enhancer	0.05865
"mosquito net"	0.0580931
"disk drive"	0.0575222
"mainframe computer"	0.0563093
spectrometer	0.056181
worksheet	0.0558561
tracer	0.0558418
"particle accelerator"	0.0553334
"heating system"	0.0548154
compressor	0.0543075
nozzle	0.0542751
Filtration	0.0531828
trowel	0.053165
"videocassette recorder"	0.0529792
copier	0.052873
"fire extinguisher"	0.0524673
ultrasound	0.0524254
"electric current"	0.052199
beater	0.0520656
"hard disk"	0.051932
forklift	0.05166
synthesizer	0.0514853
sonar	0.051223
defoliant	0.0508666
"data system"	0.0508257
photocopier	0.0505513
synthesis	0.0503334
"production equipment"	0.0502692
boiler	0.0500111
"vacuum cleaner"	0.049818
"bar code"	0.0497818
chopstick	0.0497361
abnormality	0.0494914
"software system"	0.0492901
calculator	0.049155
supercomputers	0.0490748
pacemaker	0.0490517
forensics	0.0489853
"production facility"	0.0487445
darkroom	0.0484035
"word processor"	0.048366
thermometer	0.0482987
"contact lense"	0.0482001
predisposition	0.0480234
loader	0.0479987
heater	0.0478591
"tape player"	0.0478162
"speaker system"	0.0477503
"portable computer"	0.0476931
"wireless telephone"	0.0476625
chalice	0.0474566
transistor	0.0473888
"fountain pen"	0.0473621
"storage room"	0.0471977
dryer	0.0471975
herbalist	0.0471073
"communications equipment"	0.0470466
"tape recorder"	0.0469899
kinescope	0.0467199
sprayer	0.0463651
"communications technology"	0.0460245
"rest room"	0.045978
"thermonuclear warhead"	0.0459622
preservative	0.0457911
"rocket engine"	0.0457346
"utility program"	0.0456221
"UNIX operating system"	0.0454477
"memory chip"	0.0454435
Webcam	0.0450217
"floppy disk"	0.0449488
emulsion	0.0448754
"weather satellite"	0.0448666
"control system"	0.0447351
BUSINESSES	0.0446359
"instruction manual"	0.0446321
"electrical device"	0.0444548
"radio telescope"	0.0443816
stapler	0.0442451
"cassette player"	0.0442128
"fuel cell"	0.0441991
PDA	0.0440337
cannister	0.0437905
watermark	0.0437855
"rescue equipment"	0.0437593
databank	0.0435926
"ballpoint pen"	0.0434077
"phone system"	0.0433238
"steam engine"	0.0430306
"medical instrument"	0.0429635
submersible	0.0429267
"transmission line"	0.0429012
semicolon	0.0426742
megaphone	0.0426221
"electric fan"	0.0424819
outhouse	0.0424419
tuner	0.04239
clunker	0.042294
joysticks	0.0422578
ECN	0.0418788
"light touch"	0.0418579
incinerator	0.0417698
clotting	0.0415931
"satellite receiver"	0.0415485
afterburner	0.0415034
motorboat	0.0414589
"space heater"	0.0413815
incision	0.0413631
"rolling pin"	0.0413381
"automatic teller machine"	0.0413072
"office block"	0.0412794
"extension cord"	0.0411127
Stinger	0.0411087
"cigarette lighter"	0.0410776
injector	0.0409077
microchip	0.040868
earpiece	0.0407903
soapbox	0.040743
decoding	0.0407389
keypad	0.0407319
"pedestrian bridge"	0.0404376
transmitter	0.0401721
"oxygen mask"	0.0401518
optic	0.040045
))
(Anand (desc 760.645) (sims
"De Soto"	0.119038
Surin	0.117606
Kennard	0.116202
Guterres	0.111361
Menchu	0.111109
Kohn	0.109417
Zeng	0.107285
Cem	0.105653
Rawabdeh	0.104289
Zhirinovsky	0.103568
Nebiolo	0.102779
Rifkind	0.10223
Piot	0.10196
Rodionov	0.101791
Brundtland	0.101622
Yoon	0.101415
Seleznyov	0.101297
Bishara	0.101245
Khai	0.101103
Ciampi	0.100843
Ruehe	0.100447
Tanaka	0.0998948
Tian	0.0990086
Verney	0.0986046
Jovanovic	0.0972687
Waigel	0.0971802
"Yossi Sarid"	0.0956175
Stoyanov	0.0945045
Alarcon	0.093553
Nazarbayev	0.0935045
Maldini	0.0932103
Lundy	0.0931893
Aventajado	0.0924583
Kasparov	0.0923634
"Megawati Soekarnoputri"	0.0923616
Bove	0.0922261
"Guangzhou Apollo"	0.0907282
Nzo	0.0905084
Wolfson	0.0901803
Qiao	0.0901747
Rabe	0.0897939
Akayev	0.0892754
Schaffer	0.089208
"de Charette"	0.0891355
Grassley	0.0881855
Tsvangirai	0.0879203
Zarb	0.0876946
Ekeus	0.0859983
Canady	0.0859022
Rau	0.0854323
Caddell	0.0853188
Nateq-Nouri	0.0850681
Koo	0.0847981
Hodler	0.0842695
Tsang	0.0841257
"John Kelly"	0.083877
Holl	0.0832171
Sakakibara	0.0831032
Ingraham	0.0830716
Singson	0.0825644
Phieu	0.0819791
Bellamy	0.0819788
Brazile	0.0810088
Ikeda	0.0809943
Advani	0.0806075
Chappell	0.0803435
Bizimungu	0.0801923
"Fighting Irish"	0.080002
Klima	0.079883
Lehane	0.0796462
Wolfensohn	0.079476
Lugar	0.0790435
Azad	0.0787907
"Desert Hero"	0.0785127
Schell	0.0784713
Charest	0.0784513
Hrawi	0.0780191
Kerasiotes	0.0778101
Berenson	0.0777306
Luong	0.0775824
Elhage	0.0773319
Sensenbrenner	0.0772828
Prewitt	0.0772313
Constantinescu	0.076918
Izetbegovic	0.0766358
"George Speight"	0.0765525
gilder	0.0764556
McConnell	0.0764144
Granic	0.0763844
Pickering	0.0761783
Alatas	0.0759786
Menem	0.0758144
Bolger	0.075708
Rongen	0.075306
Scalfaro	0.0752788
Hagel	0.0752508
Zeroual	0.075229
Nailon	0.0751478
Ghani	0.0750761
Indyk	0.0750696
Chissano	0.0750453
Lim	0.074846
"Than Shwe"	0.074801
"Earnhardt Jr."	0.0746688
"Sichuan Quanxing"	0.0746627
Soong	0.0746529
Hamdoon	0.0745919
Pelosi	0.0745464
Reimer	0.0745224
Diouf	0.0744434
Fernandes	0.0739411
Juma	0.0739293
Markovic	0.0736926
Gowda	0.0736868
Saleh	0.0735782
Sampaio	0.0733143
"Li Ruihuan"	0.0732931
Nicol	0.0731949
Mkapa	0.0730864
Kasoulides	0.0730437
Nujoma	0.07303
Chavalit	0.0729942
Moratinos	0.0729802
Muluzi	0.0727539
Kwasniewski	0.0727502
"Red Star"	0.07275
Pustovoitenko	0.0726889
Icahn	0.072543
Sumaye	0.0724422
Maruyama	0.0724252
Brownback	0.0724112
Dobson	0.0724032
Garza	0.0723963
"Van Roost"	0.072025
Walesa	0.0717032
Soyinka	0.0716146
Venables	0.0715437
Wilkerson	0.0715061
Elam	0.0714714
Laperriere	0.0714687
Rais	0.0714356
Donnelly	0.0713845
Sanan	0.0712728
Gosper	0.0711847
Kyl	0.0709861
Nasrallah	0.0709529
Kuchar	0.0709098
Aliev	0.0708322
Hauser	0.0706829
wen	0.070677
"Defense William Cohen"	0.0705982
Fischer	0.0705487
Marulanda	0.0704859
Ogata	0.0701372
Frei	0.0700442
"Alexander Shokhin"	0.0699132
Lipponen	0.0696906
Xanana	0.0695237
Koirala	0.0695043
Velayati	0.0693244
Scruggs	0.069303
Soros	0.0691789
NAU	0.0691046
Portillo	0.0690521
Bao	0.0689089
Romer	0.0687174
Hagen	0.0686805
Ben-Ami	0.068566
Komura	0.0685437
Baumhammers	0.068511
"Robert Aventajado"	0.0685089
"Viswanathan Anand"	0.0683729
Eizenstat	0.0683337
Cremins	0.0683233
Erbakan	0.0681779
Manley	0.0681653
Duisenberg	0.0680464
Hyman	0.0680424
Berra	0.0678981
"Jim Thomas"	0.0678952
Bouteflika	0.0678794
Orban	0.0678553
Jia	0.0677382
Axworthy	0.0676713
Faison	0.0674884
Blatter	0.0673867
"Prime Minister Banharn Silpa-Archa"	0.0673765
Jayakumar	0.0673612
"Qiao Shi"	0.0673157
Yosef	0.0672614
Appleby	0.067229
Zuma	0.0671982
Shenhua	0.0670519
Dodik	0.0670262
Lew	0.0670078
Valenzuela	0.0669998
Tillman	0.0669014
Koskinen	0.0668827
Walser	0.0668172
Ilie	0.0668047
))
(ANAP (desc 3731.53) (sims
"Motherland Party"	0.257877
FP	0.237358
DYP	0.229747
RP	0.226149
DSP	0.223944
MHP	0.175781
"True Path Party"	0.136754
"Welfare Party"	0.123584
"Democratic Left Party"	0.11739
CHP	0.115585
Zajedno	0.107931
"Islamic Welfare Party"	0.102734
"Tansu Ciller"	0.102255
"Free Democrats"	0.0975245
"Democrat Party"	0.0964113
CPP	0.0946687
UDF	0.0916244
"People's Party"	0.0915189
"Liberal Democratic Party"	0.0888374
"National Party"	0.0854769
"Chart Pattana"	0.084683
RPR	0.0845029
"New Aspiration Party"	0.083958
NC	0.0831476
"New Zealand First"	0.0815648
"Herri Batasuna"	0.0803408
Meretz	0.0802685
Renamo	0.0800671
"Necmettin Erbakan"	0.0797033
"Social Democratic"	0.0781059
Erbakan	0.0776756
"Democratic Left"	0.07734
"Socialist Party"	0.0772331
CPN-UML	0.0768854
DAP	0.0767339
"Freedom Union"	0.0766288
"Liberal Party"	0.0764301
"Social Democrats"	0.0739987
"Ulster Unionists"	0.0739541
FUNCINPEC	0.0732907
"National Religious Party"	0.0732879
UUP	0.0725462
SPS	0.0724161
"Nepali Congress"	0.0710876
"Jatiya Party"	0.0709876
"National Front"	0.0707971
RPP	0.0699071
Pd	0.0697383
Lakas	0.0692104
LDP	0.0681748
FRELIMO	0.0676922
"Ulster Unionist Party"	0.0676274
Shas	0.0674547
"Social Democratic Party"	0.0672026
Yilmaz	0.0671571
SDP	0.0670233
"Barisan Nasional"	0.0669854
SPD	0.0669088
"United Democratic Movement"	0.0657415
CDU	0.0656733
"National League for Democracy"	0.0655133
"Cambodian People's Party"	0.0649
BJP	0.0644076
"Third Way"	0.064321
"National Democratic Party"	0.0639556
"Christian Democratic Union"	0.0638817
Yabloko	0.0637021
"United National Party"	0.0633511
"Union of Right Forces"	0.0633227
"Pan Africanist Congress"	0.063308
SDLP	0.0629867
"Golkar Party"	0.0629709
PML	0.0627951
"Serbian Renewal Movement"	0.0627582
"Bharatiya Janata Party"	0.0625261
UNP	0.0622572
NDP	0.0620705
"Pakistan People's Party"	0.061978
"New Democracy"	0.0616972
"Rwandan Patriotic Front"	0.0614691
"Republican House"	0.0614344
"Awami League"	0.0613281
"Christian Social Union"	0.0608379
"National Action"	0.0604632
"Meretz Party"	0.060351
"Patriotic Union of Kurdistan"	0.0602296
"African National Congress"	0.0599125
MMD	0.0595635
"National Action Party"	0.0592589
"Janata Dal"	0.0589768
"Democratic Unionist Party"	0.058968
PML-N	0.0587289
"Inkatha Freedom Party"	0.0582637
CCF	0.0580731
UNIP	0.0580051
"Congress Party"	0.0579674
NP	0.0578428
Golkar	0.0577497
"National Alliance"	0.0570866
"Senate Republican"	0.056793
"Sam Rainsy Party"	0.0564348
IFP	0.05615
Jamaat-e-Islami	0.0560256
"Mesut Yilmaz"	0.0559571
"Conservative Party"	0.0559303
NRM	0.0558528
"Labour Party"	0.0556522
Likud	0.0554477
"Vietnamese Communist Party"	0.0554328
UFW	0.0554256
"Center Party"	0.0554005
MQM	0.055336
"United Liberal Democrats"	0.0550772
"Virtue Party"	0.0549282
"Muslim Brotherhood"	0.0546113
"Ansumane Mane"	0.0538017
"Shas Party"	0.0537081
"Free Democratic Party"	0.053484
"United National Independence Party"	0.0533818
"Nahdlatul Ulama"	0.0533669
MDC	0.0530673
PASOK	0.0526921
"Bangladesh Nationalist Party"	0.0524962
"Serbian Radical Party"	0.0524381
Sandinista	0.0524111
PDP	0.052392
"Democratic Action"	0.0522335
"Chinese NPC"	0.0519755
unionist	0.0519285
NLD	0.051874
"Canadian Alliance"	0.051832
Laban	0.0515846
"Labor Party"	0.0512687
UF	0.0511224
"Christian Democrats"	0.0510212
"Russian Communist Party"	0.0506974
Hezb-i-Islami	0.0504938
RCD	0.0504873
"Popular Party"	0.0503873
CSU	0.0503366
Sakigake	0.0501453
BNP	0.0499208
HDZ	0.0499114
PRD	0.0497462
"opposition party"	0.049724
"NZ First"	0.0496886
Ciller	0.0496588
"Likud Party"	0.0493959
CEC	0.04936
SP	0.0491361
"Vojislav Seselj"	0.049079
KDP	0.0490601
MNLF	0.0490497
PPP	0.0489004
UML	0.0487688
"National Liberation Front"	0.0487489
PDI	0.0486156
"Independence Party"	0.0485828
minister-elect	0.0485679
Histadrut	0.048265
"National Resistance Movement"	0.0481577
PDI-P	0.047904
DP	0.0474258
ITU	0.0473731
Eyadema	0.0470535
"Radical Party"	0.0469729
"New National Party"	0.0466837
"William Hague"	0.0466442
"Lokendra Bahadur Chand"	0.0465724
"Liberal Democrats"	0.0463786
"Civic Democratic Party"	0.0463301
"Islamic Movement"	0.0462809
"Gary Hall Jr."	0.0462677
NTRA	0.0461074
Bae	0.0459812
"Funcinpec Party"	0.0458153
Zanu-pf	0.0457993
"Kurdistan Democratic Party"	0.0457568
"Islamic Salvation Front"	0.0453281
ANC	0.0452547
"United Development Party"	0.0450958
"Caribbean Community"	0.0450884
Rais	0.0448857
"Yitzhak Mordechai"	0.0446993
"Russian State Duma"	0.04457
"Parti Quebecois"	0.044441
"Jean-Marie Le Pen"	0.044389
KPA	0.0443644
Arab-American	0.0442764
"United Front"	0.0442041
"Andean Community"	0.0441693
"Sam Rainsy"	0.0441514
Tanganyika	0.044133
Chand	0.044022
NDF	0.04398
NRP	0.0439199
"Indonesian Democratic Party"	0.0439106
backbencher	0.0439082
IAI	0.0437715
SDS	0.0435092
))
(anarchist (desc 8597.99) (sims
agnostic	0.116042
leftist	0.10744
supremacist	0.106641
Marxist	0.103348
radical	0.0985772
feminist	0.0980068
neo-Nazis	0.0977425
"trade unionist"	0.0935659
vigilante	0.0925603
fundamentalist	0.0910632
hooligan	0.0909752
skinhead	0.0904798
atheist	0.0885889
Klansmen	0.0880653
extremist	0.0876649
Libertarian	0.0857216
activist	0.0834283
rightist	0.0831444
rioter	0.0820339
neo-Nazi	0.0799221
demonstrator	0.079577
socialist	0.0787907
revolutionary	0.0780423
fascist	0.0777345
thug	0.0771112
"Islamic Jihad"	0.0767849
hippy	0.0761469
protestor	0.0750294
pacifist	0.0736453
nationalist	0.073486
Communist	0.0721773
hacker	0.071963
hippie	0.070003
idealist	0.0698514
agitator	0.069723
fanatic	0.0694734
bandit	0.0691832
marcher	0.0690622
pragmatist	0.0685861
Futurist	0.0685565
capitalist	0.0683672
protester	0.068134
monarchist	0.0674452
"Ku Klux Klan"	0.0669608
pagan	0.0667345
militant	0.065735
abolitionist	0.06543
racist	0.064868
assailant	0.0647575
liberal	0.0643632
vagabond	0.0640454
christian	0.0638933
redneck	0.0637067
intellectual	0.0636174
zealot	0.0635781
reformer	0.0633255
terrorist	0.0631305
settler	0.0628665
Cuban-Americans	0.0628553
outcast	0.0625582
bikers	0.0624325
"university student"	0.0621605
"draft dodger"	0.0617109
environmentalist	0.0614615
junkie	0.0613578
Gypsy	0.0611702
robber	0.0609733
ecologist	0.0608874
gangster	0.060407
mourner	0.0602949
"church member"	0.0602776
punk	0.059988
Klan	0.0598009
enactors	0.0591677
hater	0.0591195
mob	0.0589342
dissident	0.0588814
hard-liner	0.0586016
squatter	0.058452
"AIDS activist"	0.0580172
peasant	0.0579472
centrist	0.0573946
sportswriters	0.0572304
realist	0.0564795
"Armed Islamic Group"	0.0562298
nigger	0.056002
gunmen	0.0558065
follower	0.0556999
witch	0.0555239
policemen	0.0554258
overachiever	0.0550328
burglar	0.054913
weirdo	0.0548596
firemen	0.0547131
separatist	0.054656
skydiver	0.0543952
theologian	0.05439
Arab-American	0.0543866
"farm worker"	0.0543863
mugger	0.0539413
Ijaw	0.0539401
humanist	0.0538429
poet	0.0537836
"Orthodox Jews"	0.0537797
sympathizer	0.0537653
Hindu	0.0537429
secessionist	0.0536754
vandals	0.0536172
"intelligence agent"	0.0534927
"Puerto Rican"	0.0531434
colonizer	0.0530356
Baptist	0.0530085
contrarian	0.0529175
Catholic	0.0527249
KKK	0.0526228
looter	0.0525649
Haitian	0.0525415
Koreans	0.0525188
monk	0.0523678
"Aum Shinrikyo"	0.0522003
"labor leader"	0.052199
"New Democrat"	0.0521818
"little leaguer"	0.0519406
"Israeli Arabs"	0.0519155
guerrilla	0.0517255
"American plane"	0.0516413
lawbreaker	0.0515086
"labor union"	0.051448
nerd	0.0514276
mercenary	0.0514086
geek	0.0513858
"school girl"	0.0513696
policeman	0.0512237
clergymen	0.051086
"college student"	0.0510282
"sports fan"	0.0509638
"murder suspect"	0.0509629
ideologue	0.0509272
individualist	0.0508783
evangelist	0.0507611
adventurer	0.0507517
"East Timorese"	0.0507453
"military man"	0.0505441
drinker	0.0504603
rappers	0.0504475
learner	0.0504341
"Young Turk"	0.0503588
attacker	0.0502912
Superman	0.0502817
pensioner	0.0501304
"wise guy"	0.0500952
academic	0.0500842
MQM	0.050023
unionist	0.0499782
Sikh	0.0498029
villager	0.0496486
loyalist	0.0496295
anthropologist	0.0495384
Asian-American	0.0494367
Cuban-American	0.0494361
entrepreneur	0.0494124
sailor	0.0494118
idiot	0.0492943
"American Indian"	0.0492541
conservationist	0.0492274
philosopher	0.0490563
"native American"	0.0490075
Goth	0.0489761
housewife	0.0489268
saboteur	0.0489158
NGOs	0.0488277
geologist	0.048716
expatriate	0.0487108
"Islamic Movement"	0.0486686
agronomist	0.0486664
populist	0.0486663
"economic expert"	0.0486562
"army officer"	0.0486454
has-been	0.0484964
Otpor	0.0484755
mathematician	0.0483526
pro-British	0.0482592
motorcyclists	0.0482369
"American Jewish"	0.0480327
arsonist	0.0480109
Buddhist	0.0479307
freak	0.0478015
missionary	0.0477555
optimist	0.0476801
"religious leader"	0.0476038
crook	0.0475654
militia	0.0475156
dramatist	0.0474243
"government officials"	0.0474147
Kurdish	0.0473726
commando	0.0473203
traditionalist	0.0472698
vegetarian	0.0472521
"hockey player"	0.0471691
"old woman"	0.0470921
))
(anarchy (desc 13433.1) (sims
lawlessness	0.194982
chaos	0.176485
instability	0.146137
unrest	0.134061
upheaval	0.119931
bloodshed	0.119717
strife	0.118332
turmoil	0.115848
"civil war"	0.109631
hyperinflation	0.109038
famine	0.107073
disintegration	0.106887
mayhem	0.106826
violence	0.10499
destabilization	0.103158
rioting	0.101624
insecurity	0.100794
pandemonium	0.098195
looting	0.0956368
catastrophe	0.0955025
riot	0.0938455
abyss	0.0933074
panic	0.0921637
warfare	0.0916853
recession	0.0909523
banditry	0.0874265
madness	0.0865899
despair	0.0863431
carnage	0.0859046
Indiscipline	0.0851626
decay	0.0848699
conflict	0.0847623
hooliganism	0.0846837
bloodletting	0.0829835
destruction	0.082646
repression	0.0825969
disaster	0.0821882
confrontation	0.0820723
poverty	0.0817325
oblivion	0.0814961
conflagration	0.0812192
starvation	0.0801274
crisis	0.0800934
polarization	0.0799541
"arms race"	0.0799079
confusion	0.0798808
hostility	0.0791811
bloodbath	0.0791097
self-destruction	0.0786414
paralysis	0.0780924
insolvency	0.077935
calamity	0.0768462
uncertainty	0.076746
dislocation	0.0767448
degradation	0.0764546
disarray	0.0755891
disunity	0.075272
corruption	0.0745015
dissension	0.0744794
terror	0.074471
dictatorship	0.0743383
misery	0.0741934
devastation	0.0737117
inequality	0.0736717
Bedlam	0.0736431
rebellion	0.0735433
revolt	0.0734751
gridlock	0.0728781
tension	0.0727427
discord	0.072574
disorder	0.0725716
"economic crisis"	0.0710453
insurrection	0.0710275
cynicism	0.070931
disruption	0.0708356
alienation	0.0707033
oppression	0.0705306
meltdown	0.070265
isolation	0.0701505
turbulence	0.0690206
separatism	0.0689597
hardship	0.0688086
crises	0.0685414
misunderstanding	0.0685116
fighting	0.0680009
criminality	0.0679081
bankruptcy	0.0675152
tragedy	0.0673575
disturbance	0.0671017
isolationism	0.0665939
Depression	0.0665461
injustice	0.0661706
stagnation	0.0659912
persecution	0.0654666
divisiveness	0.0653291
intolerance	0.0651695
terrorism	0.065157
frenzy	0.0650706
vandalism	0.065053
vacuum	0.0650062
extinction	0.0645971
hysteria	0.0644831
tumult	0.0644715
maelstrom	0.0643677
hatred	0.0641287
extremism	0.0639428
drought	0.0638246
displacement	0.0638122
free-for-all	0.0634591
insanity	0.0634031
uprising	0.0628161
deterioration	0.0626244
epidemic	0.0624837
genocide	0.0624823
mutiny	0.0623187
tribalism	0.0619113
breakdown	0.0617097
annihilation	0.0616415
blackout	0.06121
mischief	0.0609476
nihilism	0.0609009
distrust	0.0608286
mediocrity	0.0606376
escalation	0.0605033
nationalism	0.0604248
"civil disobedience"	0.060347
fragmentation	0.0599207
commotion	0.0598674
discontent	0.0597884
hunger	0.0597729
unpredictability	0.0596635
flare-up	0.0596219
mistrust	0.059559
lunacy	0.0595283
malaise	0.0593643
marginalization	0.0592829
backlash	0.0589584
horror	0.0586198
"power failure"	0.0584866
backwardness	0.0581133
neglect	0.0579792
"crop failure"	0.0578141
apocalypse	0.0574857
intimidation	0.0573607
recrimination	0.0570165
militancy	0.0569784
insurgency	0.05692
sabotage	0.056796
racism	0.0567778
autocracy	0.0567649
desertification	0.0566615
sectarianism	0.0566138
"nervous breakdown"	0.0563429
schism	0.056173
deflation	0.0560116
shortage	0.0556138
friction	0.0555739
firestorm	0.0555265
exodus	0.0555131
scarcity	0.0553155
evil	0.0551648
cleansing	0.0549364
barbarity	0.0548536
"vicious circle"	0.0546226
feud	0.0546205
overheating	0.0545939
unease	0.0542754
"vicious cycle"	0.0541857
erosion	0.0539419
"crime wave"	0.053927
desperation	0.0539141
mudslide	0.0539073
shutdown	0.0537541
occupation	0.0536414
bitterness	0.0534605
Exhaustion	0.0534259
crunch	0.0534258
subversion	0.0533401
eruption	0.0533319
coup	0.0530939
Addiction	0.0530759
reprisal	0.053054
farce	0.0529699
demonstration	0.0529145
permissiveness	0.0528109
cliche	0.0527713
powerlessness	0.0527196
inflation	0.0527053
"drug problem"	0.0526729
apathy	0.0525528
"traffic jam"	0.0524558
slaughter	0.0523271
quagmire	0.052313
savagery	0.0522673
disharmony	0.052212
outbreak	0.0520792
fundamentalism	0.0519999
inequity	0.0518254
anxiety	0.0517385
foul-up	0.0516516
))
(Anastasia (desc 3284.31) (sims
Natasha	0.0800355
"Caroline Kennedy Schlossberg"	0.0736149
Mulan	0.0733444
Martha	0.0710001
Olga	0.0701139
Patricia	0.0691714
Josephine	0.0654304
Marlene	0.0654176
"Swan Lake"	0.0651321
Miriam	0.0645004
anna	0.0644587
Jacqueline	0.0643132
Denise	0.063802
Eileen	0.0633496
Maria	0.0631319
Stephanie	0.0627906
Rosie	0.0622841
"Karenna Gore Schiff"	0.0615228
Irina	0.0607543
Cheryl	0.0600505
Deborah	0.0582301
Kristin	0.0582291
Romeo	0.058058
Antz	0.0580523
Felix	0.0580402
alicia	0.0577794
Natalie	0.0575538
"Get Real"	0.0554878
Lydia	0.055114
Sarah	0.0549383
Brenda	0.0549314
Laura	0.0547252
Kathy	0.0542489
Cindy	0.0541623
Olivia	0.0536447
Erica	0.0533978
Jenny	0.0532158
Annie	0.0528872
"Don Quixote"	0.0522661
Rebecca	0.0518654
"good person"	0.0516639
"Harsh Realm"	0.0515623
Monique	0.0513575
Karenna	0.0512258
Sophie	0.0509742
Janet	0.0509278
Dorothy	0.050802
Rubenstein	0.0506671
Andrea	0.0505636
Donnie	0.050077
Alexandra	0.0500622
Anne	0.0497185
Julie	0.0496396
Gertrude	0.0494748
Judith	0.0494178
"Lauren Bessette"	0.049188
Kathryn	0.0490546
Meg	0.0487923
Pinocchio	0.0487288
"top dog"	0.048589
Thelma	0.0484871
"Princess Mononoke"	0.0483169
Emily	0.0480342
Heidi	0.0480171
Alice	0.0477937
Clara	0.0477343
"Titan A.E."	0.0477216
"Megawati Sukarnoputri"	0.047683
Shannon	0.0476642
"Toy Story"	0.0476599
Jessica	0.0476159
student-athlete	0.0476037
Naomi	0.0475834
Sylvia	0.0475563
Suzanne	0.0475252
Leah	0.0475216
Debbie	0.0473348
Jennifer	0.0472697
Valerie	0.0471841
Brooke	0.0471137
Margaret	0.0470778
Katherine	0.0469558
Luis	0.0469178
Audrey	0.0468633
Louise	0.0467702
Requiem	0.0465277
Giselle	0.0464831
Stacy	0.0461948
"Erin Brockovich"	0.0461224
Elena	0.0460714
Lori	0.0460566
Minuet	0.045888
Lisa	0.0458657
"Keith Olbermann"	0.0457755
"wise guy"	0.0455978
Nikki	0.0455272
Maureen	0.0454671
Michele	0.0453678
wrecker	0.0451826
Winnie	0.0450438
Marty	0.044873
"Princess Anne"	0.0448577
Angela	0.0448375
Kathleen	0.0446073
Cathy	0.0443062
Nancy	0.0442259
Rachel	0.0441879
Beverly	0.0441739
Lucia	0.0440826
Jenna	0.0440355
Julia	0.0438176
gloria	0.0437058
JoAnne	0.0436802
Edith	0.0436058
Kimberly	0.0435134
Pam	0.0432401
Christine	0.0431079
Nicole	0.0431069
Kate	0.0430092
Maya	0.0427729
tomboy	0.0427727
Paulina	0.0427055
Eva	0.042559
Molly	0.0423549
"black person"	0.0423211
G@@	0.0420206
Donna	0.0420186
Sonia	0.0418912
Pamela	0.0418782
Futurama	0.0418476
Cedric	0.0417684
Ivan	0.041754
Vanessa	0.0416096
becky	0.041564
heather	0.0415619
Cleopatra	0.0415029
"Cradle Will Rock"	0.0413963
"Wild Party"	0.041344
Annette	0.0413354
Beth	0.0412468
Linda	0.0411257
Sandra	0.0411116
Kirsten	0.0410952
Claudia	0.0410419
Amanda	0.0410301
Pavel	0.0408378
Eleanor	0.0407475
Maag	0.0407447
Catherine	0.040633
Bridget	0.040466
Michelle	0.0404056
Lucy	0.0403547
Ashley	0.040351
Hadassah	0.0403433
Tina	0.0403353
Costello	0.0401989
whore	0.0401709
))
(anathema (desc 7265.95) (sims
sop	0.0938952
oxymoron	0.0784153
dear	0.0778023
disservice	0.0737351
affront	0.0721987
"taking hold"	0.0719499
contrary	0.0685708
pariah	0.0666252
copout	0.0655698
heresy	0.0637137
"law of the land"	0.0606846
"public knowledge"	0.0606836
guidepost	0.0580171
"open letter"	0.0572269
outreach	0.0569289
nonstarter	0.0566655
nonentity	0.0555093
harder	0.0528369
"mutually exclusive"	0.0511406
allegiance	0.0508163
boon	0.0501654
capitulation	0.0501515
"olive branch"	0.0488753
anachronism	0.0485366
synonym	0.0484894
"hot issue"	0.048069
non-issue	0.0473077
"lip service"	0.0472459
"hard sell"	0.0467613
impossibility	0.0464291
privy	0.0461264
corrective	0.0460296
byword	0.0458728
gauntlet	0.0448303
homage	0.044603
turnoff	0.0443178
paean	0.0438534
"cause celebre"	0.0436457
"rallying cry"	0.043534
irritant	0.0433979
deference	0.0433349
"standard operating procedure"	0.0431389
RIPOSTE	0.042853
no-brainer	0.0428247
gibberish	0.0423436
"warning signal"	0.0419539
taboo	0.0418768
"order of the day"	0.0416792
throwback	0.041414
bane	0.0410139
well-received	0.0409915
"sour grapes"	0.0409315
no-no	0.0402507
thrall	0.0401054
))
(Anatolia (desc 2969.01) (sims
Antara	0.235957
Notimex	0.232347
MTI	0.226204
WAM	0.210084
"Agence France Presse"	0.202659
Ansa	0.196597
BS	0.195496
Tass	0.184527
RSS	0.181916
Kyodo	0.181808
Lusa	0.180466
"Business Times"	0.167627
Jana	0.159008
Bernama	0.158026
ATA	0.156252
"Kathmandu Post"	0.155355
Hurriyet	0.149719
"Anatolia News Agency"	0.147424
"Athens News Agency"	0.146829
"Turkish Daily News"	0.146035
Tanjug	0.144309
Angop	0.141805
Petra	0.141557
"Saudi Press Agency"	0.138099
"United Press International"	0.137523
"Ghana News Agency"	0.137402
"Kyodo News"	0.136991
"Straits Times"	0.136832
IRNA	0.133847
"Moscow Times"	0.133243
"Daily Times"	0.132948
APA	0.132313
"Kyodo News Service"	0.132004
AFP	0.13119
MENA	0.130989
"Indonesian Observer"	0.129013
SAPA	0.128174
KPL	0.12809
"Zambia News Agency"	0.126895
"Southern African Broadcasting Association"	0.126374
Noticias	0.125211
"Nihon Keizai"	0.123322
NTV	0.121994
"Associated Press of Pakistan"	0.120839
"Asahi Shimbun"	0.120415
"Egyptian Middle East News Agency"	0.12014
"Antara News Agency"	0.119237
Interfax	0.118741
"Sydney Morning Herald"	0.117537
"Radio Uganda"	0.11751
"Egyptian Gazette"	0.117244
"Agence France-Presse"	0.115654
"El Pais"	0.115515
"New Vision"	0.115054
PAP	0.113856
"Korean Central News Agency"	0.113504
"Jordan Times"	0.113283
"Business Day"	0.112933
PTI	0.112704
"Islamic Republic News Agency"	0.112272
"British Broadcasting Corporation"	0.111921
TT	0.111855
Itar-Tass	0.111642
"Kenya Times"	0.110946
beta	0.110097
"Macao Daily News"	0.109325
Reuters	0.108518
"Zimbabwe News Agency"	0.108095
"Rwanda News Agency"	0.10732
"Jakarta Post"	0.107289
"Nihon Keizai Shimbun"	0.106766
"Cyprus News Agency"	0.105969
ABS-CBN	0.105424
"New Straits Times"	0.104887
"Thai News Agency"	0.104568
NHK	0.1033
"Dow Jones Newswires"	0.103128
"Al Ahram"	0.103085
"Kuwait News Agency"	0.1024
"Philippine News Agency"	0.10217
"U.S. Labor Department"	0.101905
Sowetan	0.101552
INA	0.101454
"News Agency of Nigeria"	0.100933
"Post Express"	0.100124
dem	0.0998593
"Vietnam News"	0.0995152
"Australian Associated Press"	0.0987777
"The New Vision"	0.0976833
"Tehran Times"	0.0973978
"Press Trust of India"	0.0973476
"South China Morning Post"	0.0968441
"Iraqi News Agency"	0.096648
"Jerusalem Post"	0.0958919
"New Nigerian"	0.0956156
"National Association of Realtors"	0.094652
"Bank of Korea"	0.0943739
"Ethiopian News Agency"	0.0943598
Asahi	0.0940891
"Vietnam News Agency"	0.093976
"Yomiuri Shimbun"	0.0937802
"East African Standard"	0.0936766
"Gulf News"	0.0926627
"Information Center"	0.0926531
"The Monitor"	0.0926061
"Business Weekly"	0.0924271
CTV	0.0923916
"Israel Radio"	0.0919956
KUNA	0.0915339
"Daily Star"	0.0911203
"El Mundo"	0.090877
"Guangming Daily"	0.090452
Reforma	0.0903117
"Financial Mail"	0.0899879
"South African Press Association"	0.0897228
"Press Trust"	0.0889246
Maariv	0.0884396
Kommersant	0.0879001
TC	0.0875993
Haaretz	0.087367
"China Youth Daily"	0.0873162
"press agency"	0.0872889
"Der Spiegel"	0.0871014
"Jerusalem Media and Communication Center"	0.0866351
"Ethiopian Herald"	0.0864818
"Al Hayat"	0.0858483
APP	0.0856942
"Beijing Daily"	0.0854728
CNA	0.0850395
"Iran News"	0.0839985
"Xinhua News Agency"	0.0832799
"Daily Nation"	0.0818589
"Le Monde"	0.0817742
"Zambia Daily Mail"	0.0813961
"Economic Daily"	0.07878
"Khaleej Times"	0.0781576
"Bangkok Post"	0.0779287
"Wenhui Daily"	0.0778307
"Alam Al Yom"	0.0774888
Yomiuri	0.0772584
Sana	0.0767945
"Statistics Canada"	0.076766
RNA	0.0766884
Manley	0.0766454
Spiegel	0.0763014
"Middle East News Agency"	0.0758685
"China Daily Business Weekly"	0.075845
"Beijing Youth Daily"	0.0754325
"Financial Times"	0.0740594
"Daily Telegraph"	0.0738629
"Bekaa Valley"	0.073787
Inquirer	0.0715725
"ball of fire"	0.071372
"Daily Mail"	0.0687431
"Seattle Times"	0.0686336
Passarella	0.0682886
Advani	0.0682722
"Detroit News"	0.0681033
Harmoko	0.0677344
Al-Ahram	0.067703
Aventajado	0.0674373
Okada	0.0669954
Ruehe	0.0668769
SSB	0.0668384
Sulawesi	0.0662572
"Yediot Ahronot"	0.0662063
Granma	0.0661162
al-Hayat	0.0660412
Yastrzhembsky	0.0653951
"Kosovo Information Center"	0.0652494
Singson	0.0649498
"Washington Times"	0.0644264
Malaya	0.06403
sid	0.0639373
ORT	0.0638193
"Conference Board"	0.0633864
eb	0.0633475
"Boston Herald"	0.0625436
Rossotti	0.0622789
hodgson	0.0618844
Rothenberg	0.0617592
Katanga	0.0611949
"Daily News"	0.061054
"International Business Daily"	0.0598258
Politika	0.059344
"National Post"	0.0586855
Velayati	0.0586135
"Mojave Desert"	0.0583553
Sumatra	0.0582521
Luzon	0.0577461
"Central Bureau of Statistics"	0.0574693
L'Equipe	0.0574411
ad/adc	0.05734
Shareh	0.057235
"Evening Standard"	0.0571089
"San Antonio Express-News"	0.0571073
"New Light"	0.0567704
"Bloomberg News"	0.0561365
MANA	0.0560355
IEA	0.0552634
))
("Anatolia News Agency" (desc 5701.92) (sims
"Turkish Daily News"	0.300663
"Associated Press of Pakistan"	0.300326
"Iraqi News Agency"	0.256843
"Islamic Republic News Agency"	0.252725
"Philippine News Agency"	0.245707
"Agence France-Presse"	0.236005
"Tehran Times"	0.231497
"Vietnam News Agency"	0.230851
"Korean Central News Agency"	0.22309
"Agence France Presse"	0.222742
"Straits Times"	0.219257
"Indonesian Observer"	0.218185
"Israel Radio"	0.215107
"Athens News Agency"	0.212672
"Saudi Press Agency"	0.210976
"South African Press Association"	0.209906
Angop	0.208478
"Gulf News"	0.2083
"Antara News Agency"	0.207381
"Vietnam News"	0.205185
"Khaleej Times"	0.203461
"Radio Uganda"	0.20221
"Daily Star"	0.200125
"Middle East News Agency"	0.199894
"Jerusalem Post"	0.198666
Tanjug	0.196909
"Egyptian Middle East News Agency"	0.194366
"Egyptian Gazette"	0.192349
"Ethiopian News Agency"	0.192053
"Jordan Times"	0.190814
"Kyodo News"	0.181449
"Cyprus News Agency"	0.180666
Haaretz	0.180222
"Thai News Agency"	0.174291
Antara	0.171652
Sowetan	0.171637
"News Agency of Nigeria"	0.170423
"Rwanda News Agency"	0.169928
"Kyodo News Service"	0.168617
"Kathmandu Post"	0.164527
"Jakarta Post"	0.163446
"U.S. Labor Department"	0.16294
"New Vision"	0.162872
"British Broadcasting Corporation"	0.162243
Lusa	0.161978
Noticias	0.16175
"Kuwait News Agency"	0.161743
"Business Weekly"	0.161524
"Bangkok Post"	0.161415
"Le Monde"	0.161404
"Ghana News Agency"	0.161353
"Zimbabwe News Agency"	0.159381
"The New Vision"	0.157986
"Australian Associated Press"	0.157943
"Dow Jones Newswires"	0.157486
"Kenya Times"	0.157387
"Press Trust of India"	0.156281
"Business Day"	0.156056
"Al Ahram"	0.154002
"news agency"	0.15253
IRNA	0.15068
PTI	0.150433
"Financial Mail"	0.150324
"Business Times"	0.149551
Anatolia	0.147424
"Moscow Times"	0.146003
"Press Trust"	0.145646
Ansa	0.144998
KPL	0.144945
"South China Morning Post"	0.144071
"Daily Times"	0.142097
Tass	0.140286
"Jerusalem Media and Communication Center"	0.139539
"Al Hayat"	0.138681
"China Daily Business Weekly"	0.138441
"The Monitor"	0.138236
"Zambia News Agency"	0.138064
"Southern African Broadcasting Association"	0.137941
"Post Express"	0.135582
Itar-Tass	0.134426
"Macao Daily News"	0.133743
"East African Standard"	0.13205
MENA	0.131151
"Zambia Daily Mail"	0.130253
Bernama	0.128494
AFP	0.127809
"Daily News"	0.127591
"Daily Nation"	0.126289
Petra	0.125403
Kyodo	0.123977
"Beijing Daily"	0.121848
Interfax	0.121386
Hurriyet	0.121314
"Ethiopian Herald"	0.121276
"New Light"	0.119143
Malaya	0.118362
Kommersant	0.116736
"New Nigerian"	0.116372
"Alam Al Yom"	0.115237
"East African"	0.11494
ATA	0.113504
MTI	0.113504
BBC	0.110769
Notimex	0.110116
Reuters	0.109524
BS	0.108312
WAM	0.107979
"National Association of Realtors"	0.106712
NTV	0.104605
"China Daily"	0.104404
SAPA	0.10314
"Iran News"	0.102899
"Sydney Morning Herald"	0.102576
"Le Figaro"	0.102221
Eurostat	0.102136
INA	0.101843
"Wimbledon Tennis Championships"	0.101469
al-Hayat	0.100774
"Xinhua News Agency"	0.0989612
"Seattle Times"	0.0987178
"European Swimming Championships"	0.0983102
"Daily Telegraph"	0.0953599
"Financial Times"	0.0946114
"Washington Post"	0.0937721
"Melbourne Park"	0.0933663
Maariv	0.0931955
"press agency"	0.0929933
"Associated Press"	0.0927716
Kitzbuehel	0.0922998
Guardian	0.0915456
Linz	0.0910487
Salam	0.090297
"China Youth Daily"	0.0883938
Filderstadt	0.0883006
"Wall Street Journal"	0.0867568
"Philippine Stock Exchange"	0.0863026
"International Business Daily"	0.0853849
"Der Spiegel"	0.0847725
"United Press International"	0.0842893
"Statistics Canada"	0.0837424
"International Badminton Federation"	0.0831294
"Iranian Foreign Ministry"	0.0830205
"St Petersburg"	0.0825715
"Beijing Youth Daily"	0.0824918
"New Straits Times"	0.0824663
Reforma	0.0817171
"Swiss Open"	0.0813232
"Kosovo Information Center"	0.0812321
"El Pais"	0.0809338
"English Football Association"	0.0805751
"London Metal Exchange"	0.0798173
"Conference Board"	0.0797939
"British Broadcasting Corp."	0.079507
"Nihon Keizai Shimbun"	0.0794287
Halle	0.0794061
"U.S. Commerce Department"	0.0793697
"USA TODAY"	0.0791025
"Wenhui Daily"	0.0788761
"Russian Foreign Ministry"	0.0787948
RSS	0.0785962
"Commerce Department"	0.078538
"Daily Mail"	0.0768372
"Guangming Daily"	0.0765867
"Information Center"	0.0763494
KUNA	0.075695
Hakuba	0.0753118
TT	0.0751288
Basle	0.074766
Trondheim	0.0746052
"Los Angeles Times"	0.0738101
"New York Daily News"	0.0725695
"Washington Times"	0.0710189
APA	0.070806
"World Team Cup"	0.0706816
Al-Ahram	0.0706545
"State Statistics Bureau"	0.0704136
"State Bank of Pakistan"	0.0696129
Sestriere	0.0695231
"Nihon Keizai"	0.069512
"El Mundo"	0.0691944
ABS-CBN	0.0691104
"Secretary General Esmat Abdel-Meguid"	0.0690977
"Bloomberg News"	0.0687051
NHK	0.0686595
"New York Times"	0.0680436
"Asahi Shimbun"	0.0674735
Hobart	0.0671386
KPU	0.0670355
"U. S.dollars"	0.0669518
"Hang Seng China-Affiliated Corporations Index"	0.0664891
APP	0.0660213
L'Equipe	0.0657631
CNA	0.0656189
JMCC	0.0654582
"Indian Wells"	0.0651696
"Detroit News"	0.0649024
"Economic Daily"	0.0644895
"Labor Department"	0.0644645
"Yomiuri Shimbun"	0.0644528
"Central Bureau of Statistics"	0.0644379
))
("Anatoly Chubais" (desc 6137.95) (sims
"Boris Fyodorov"	0.300623
"Boris Nemtsov"	0.280316
Chubais	0.195927
"Danny Yatom"	0.195091
"Sergei Kiriyenko"	0.192176
"Mikhail Kasyanov"	0.171872
"Viktor Chernomyrdin"	0.170134
"Alexander Shokhin"	0.169165
"Martin McGuinness"	0.168742
"Harold Ickes"	0.162602
"Yuri Maslyukov"	0.162491
"Daim Zainuddin"	0.157592
"Nabil Shaath"	0.156296
"Erskine Bowles"	0.152561
"John Podesta"	0.15026
"Amnuay Virawan"	0.149802
"Yasser Abed Rabbo"	0.148114
"Fehmi Agani"	0.146275
"Shaul Mofaz"	0.146108
"Saeb Erekat"	0.143371
"Abu Mazen"	0.141064
"Ahmed Tibi"	0.139869
"Aslan Maskhadov"	0.13872
"Gene Sperling"	0.13835
"Long Yongtu"	0.137201
"Oded Eran"	0.136811
"Victor Chernomyrdin"	0.13277
"Robert Aventajado"	0.132
"Nur Misuari"	0.131356
"Sergei Stepashin"	0.13079
"Alexander Lebed"	0.130671
"David Bar-Illan"	0.129825
"Dennis Ross"	0.129176
"Yevgeny Primakov"	0.128284
el-Baz	0.127999
"Strobe Talbott"	0.126681
"Jaswant Singh"	0.125989
"Mahmoud Abbas"	0.124306
"John Prescott"	0.123151
"Kiichi Miyazawa"	0.122457
"Dan Meridor"	0.121706
"Supachai Panitchpakdi"	0.121608
"Rahm Emanuel"	0.116593
"Richard Holbrooke"	0.114043
"Oskar Lafontaine"	0.113881
"Charlene Barshefsky"	0.113533
"John Weaver"	0.113387
"Faisal Husseini"	0.113165
"Grigory Yavlinsky"	0.113087
"Barry McCaffrey"	0.113045
"Carl Bildt"	0.111369
"Laurent Fabius"	0.108983
"Dore Gold"	0.108855
"Shelly Finkel"	0.108258
"John Shalikashvili"	0.107566
"Yitzhak Molcho"	0.107248
"Michel Camdessus"	0.106702
"Vuk Draskovic"	0.106248
"Richie Phillips"	0.105386
"Lee Hsien Loong"	0.105365
McGuinness	0.105365
"Robert Gelbard"	0.105174
"Qian Qichen"	0.104522
"Lakhdar Brahimi"	0.103991
"Chavalit Yongchaiyudh"	0.102746
"Valery Pustovoitenko"	0.102595
"John Bruton"	0.102374
Wiranto	0.101594
al-Baz	0.10115
"Anthony Lake"	0.101133
"Christopher Hill"	0.101058
"Ariel Sharon"	0.100957
"Mikulas Dzurinda"	0.100697
"Pascoal Mocumbi"	0.0995344
Kiriyenko	0.0991914
"Xiong Guangkai"	0.0990451
"Anwar Ibrahim"	0.0986719
"Mike Moore"	0.0978482
"Saeed Hajjarian"	0.0977819
"Goran Persson"	0.0977558
"Vladimir Putin"	0.0973257
"Ivan Kostov"	0.0971019
"Richard C. Holbrooke"	0.0970375
"Yossi Sarid"	0.0966792
"Hashim Thaci"	0.0958614
"Tariq Aziz"	0.0956057
Chernomyrdin	0.0945133
"George Tenet"	0.0944703
Sergeyev	0.0941829
"Igor Ivanov"	0.0935595
"Phan Van Khai"	0.0933162
"Eisuke Sakakibara"	0.0927964
"Vojislav Seselj"	0.0926254
"Sandy Berger"	0.0924584
"Zhu Rongji"	0.0922828
"Igor Sergeyev"	0.0920199
Ruehe	0.0919978
"Robert Rubin"	0.091753
"Seamus Mallon"	0.0916736
"George Robertson"	0.0915439
"Bashkim Fino"	0.091476
"David Levy"	0.0907495
Baz	0.0907196
"Yossi Beilin"	0.0905045
"Lawrence Summers"	0.0902637
Primakov	0.0900719
"Lamberto Dini"	0.0894734
"Tareq Aziz"	0.0894352
Erekat	0.0882802
"Renato Ruggiero"	0.0876321
"Dick Morris"	0.0875042
"Vladimiro Montesinos"	0.0872043
Nemtsov	0.0863413
"Xie Zhenhua"	0.0859291
"Massimo D'Alema"	0.085743
Bildt	0.0856452
"Henry Shelton"	0.0855805
Dehaene	0.0851969
Zadornov	0.0849376
Lebed	0.0847197
Komura	0.0844966
"Pervez Musharraf"	0.0844719
"Paul Begala"	0.0844217
Maslyukov	0.0842692
"Condoleezza Rice"	0.0840413
"Koo Chen-fu"	0.0840098
"George Stephanopoulos"	0.0837779
"Jerzy Buzek"	0.083747
"Yoshiro Mori"	0.083636
"Rafik Hariri"	0.0831847
Stoyanov	0.0830141
Rodionov	0.0826347
"Li Lanqing"	0.0825834
"William Perry"	0.0822497
"Mesut Yilmaz"	0.0821479
"Pandeli Majko"	0.0820318
"Fayez Tarawneh"	0.0819315
Shaath	0.0818832
"Tim Fischer"	0.0818478
"Radu Vasile"	0.0818453
"Bulent Ecevit"	0.0816521
Lari	0.0815974
"Tansu Ciller"	0.0812708
"Bruce Teitelbaum"	0.0812087
Karimov	0.0810785
"George Mitchell"	0.0809609
Murayama	0.0808387
"Karen Hughes"	0.0808271
"Chuan Leekpai"	0.0801774
"Stuart Eizenstat"	0.0800333
"Shimon Peres"	0.0800174
"Sergei Yastrzhembsky"	0.0798468
"John Koskinen"	0.0797729
"Momir Bulatovic"	0.0797662
"Romano Prodi"	0.0796679
"Sidney Blumenthal"	0.0794967
"Edmund Ho Hau Wah"	0.0794539
Stepashin	0.0794267
"Karl Rove"	0.0794165
"James Carville"	0.0789499
Mordechai	0.0789231
Dini	0.0786486
"Wolfgang Schaeuble"	0.0786116
"Shi Guangsheng"	0.0785994
"Samuel Berger"	0.0782474
"Bernard Kouchner"	0.0781658
"Javier Solana"	0.0780107
Ahtisaari	0.0775066
"Natan Sharansky"	0.0773441
"Wim Duisenberg"	0.0770108
"Necmettin Erbakan"	0.07699
Misuari	0.076879
"John Anderson"	0.0767152
Fino	0.0765618
"Jenny Shipley"	0.0764521
"Dai Bingguo"	0.0763166
"Billy Hunter"	0.0761307
"Bruce Lindsey"	0.0761213
"Ralph Reed"	0.0760777
"Rolf Ekeus"	0.0760224
Buthelezi	0.075983
"M. Douglas Ivester"	0.0759626
Shevardnadze	0.075884
"chief of staff"	0.0756343
Siazon	0.075593
Zhenyu	0.0755607
"Ray Evernham"	0.0755366
"Ung Huot"	0.0754659
"Hans Blix"	0.0754409
"Wim Kok"	0.075355
"Salim Hoss"	0.0752946
Chavalit	0.0750939
"Richard Butler"	0.0749039
"deputy foreign minister"	0.0748974
"Gennady Zyuganov"	0.0748788
"Wlodzimierz Cimoszewicz"	0.074641
"Michael Heseltine"	0.0745687
Sahnoun	0.0745606
Dodik	0.0742582
"Bertie Ahern"	0.0739659
))
("Anatoly Karpov" (desc 2652.47) (sims
"Garry Kasparov"	0.281931
"Maria Butyrskaya"	0.267311
"Denis Pankratov"	0.242691
"Pavel Tonkov"	0.232534
"Alexei Yagudin"	0.222218
Karpov	0.219876
"Irina Slutskaya"	0.215431
"Svetlana Masterkova"	0.21529
"Alexei Nemov"	0.214006
"Svetlana Khorkina"	0.197523
"Paul Tergat"	0.195378
"Irina Privalova"	0.188908
"Alexander Popov"	0.183818
"Elena Dementieva"	0.177114
"Peter Rasmussen"	0.170822
"Alexei Urmanov"	0.161654
"Elena Berezhnaya"	0.158445
"Heryanto Arbi"	0.157032
"Johan Museeuw"	0.153732
"Frank Bruno"	0.153405
Xie	0.151369
"Kostya Tszyu"	0.151366
"Deon Hemmings"	0.150325
"Ivan Pedroso"	0.150232
"Rodney Eyles"	0.149639
"Buster Douglas"	0.149467
"Moses Tanui"	0.14701
"Johnny Tapia"	0.145574
"Jansher Khan"	0.145149
"Michael Doohan"	0.144946
"Anjelika Krylova"	0.143689
"Jan-Ove Waldner"	0.143514
"Tatiana Panova"	0.143404
"Jean-Philippe Gatien"	0.1431
"Kong Linghui"	0.141784
"Viswanathan Anand"	0.140957
"Blaine Wilson"	0.139067
"Max Biaggi"	0.138549
"Ye Zhaoying"	0.138201
"Roy Jones Jr."	0.136037
Susanti	0.135121
"Yevgeny Kafelnikov"	0.133872
"Elena Likhovtseva"	0.1321
"Eddie Cheever"	0.131286
"Li Jiajun"	0.130593
"Khalid Khannouchi"	0.129621
"Marat Safin"	0.128188
"Michael Von Gruenigen"	0.127906
"Tommi Makinen"	0.127546
"Pat Rafter"	0.12749
"Todd Eldredge"	0.126178
"Laurent Brochard"	0.125867
"American Pete Sampras"	0.12554
"Grant Hackett"	0.12537
"Ge Fei"	0.123252
Kasparov	0.123052
Shuwei	0.122085
"Deborah Compagnoni"	0.121443
"Susi Susanti"	0.121233
"Peter Nicol"	0.12111
"Shanghai Shenhua"	0.120549
"Katja Seizinger"	0.119503
"Allen Johnson"	0.119234
"Jacques Villeneuve"	0.118136
"Dalian Wanda"	0.118077
"Kenny Brack"	0.11742
"Chen Lu"	0.116828
"Miguel Indurain"	0.116338
"Arantxa Sanchez-Vicario"	0.115811
"Elvis Stojko"	0.115558
"Arantxa Sanchez Vicario"	0.114641
"Wang Yifu"	0.114276
"Linford Christie"	0.113993
"Bayi Rockets"	0.11364
"Julius Francis"	0.113635
"Brooke Bennett"	0.113198
"Jorgen Persson"	0.1126
"Kieren Perkins"	0.112575
"Chicago Fire"	0.111639
"Abraham Olano"	0.111231
"MIka Hakkinen"	0.11102
"Ivan Ivankov"	0.110782
"Jubilo Iwata"	0.108897
"Fiona May"	0.108624
"Peter Gade Christensen"	0.10856
"Marie-Jose Perec"	0.108442
"Xiong Ni"	0.107776
"Claudia Poll"	0.107534
"Jeff King"	0.107421
"Wang Nan"	0.106902
"Susie O'Neill"	0.106751
"Boris Becker"	0.106453
"FC Barcelona"	0.105977
"Seibu Lions"	0.10536
"Marc Rosset"	0.105327
"Jonathan Stark"	0.105324
"Colin McRae"	0.105283
"Damon Hill"	0.105222
"Gunda Niemann-Stirnemann"	0.104944
"Zoran Primorac"	0.104452
"Alex Zanardi"	0.104424
"Michelle Kwan"	0.103874
"Dong Jiong"	0.103262
"Oksana Kazakova"	0.103216
"Stacy Dragila"	0.102887
"Derrick Adkins"	0.102864
"Iva Majoli"	0.102777
"Tara Lipinski"	0.102251
"Fatuma Roba"	0.101987
"Sergi Bruguera"	0.10187
"Alberto Tomba"	0.101753
Takanonami	0.101612
"Michael Weiss"	0.101586
"Gabriela Szabo"	0.101402
"Liu Guoliang"	0.100957
"Wang Tao"	0.100905
"Richard Krajicek"	0.100768
"Daniel Komen"	0.100756
"Maria Mutola"	0.100459
"River Plate"	0.100258
"Carlos Moya"	0.0997506
"Paulie Ayala"	0.0991612
"Penny Heyns"	0.0991115
corinthian	0.0991106
"Martin Schmitt"	0.0987043
"Joko Suprianto"	0.0986933
Takanohana	0.0985602
"Arnaud Di Pasquale"	0.0982526
"Felix Mantilla"	0.0981206
"David Reid"	0.0975787
"Le Jingyi"	0.09756
Olympiakos	0.0974147
"Maurice Greene"	0.0973751
"Conchita Martinez"	0.0973603
"Camilla Martin"	0.0973273
"Kimiko Date"	0.0972207
"Roger Federer"	0.0971979
"Tegla Loroupe"	0.0966597
"Petr Korda"	0.0965509
"Oliver McCall"	0.0965172
"Michael Stich"	0.0962176
"Erik Morales"	0.0960415
"Michael Chang"	0.0955032
"Amy Frazier"	0.0954449
"Fu Mingxia"	0.0952797
"Gustavo Kuerten"	0.0951424
Musashimaru	0.0950328
"Thomas Stangassinger"	0.0946233
"Sandra Voelker"	0.0945759
"Gil Morgan"	0.0943201
"Spartak Moscow"	0.0941327
"Thomas Muster"	0.0941166
"Wilson Kipketer"	0.0939995
"Charles Austin"	0.0939281
"Mary Pierce"	0.0939161
"Inger Miller"	0.0936717
cager	0.0936541
"Patrick Rafter"	0.0936071
"Kinder Bologna"	0.0931837
"Simona Amanar"	0.0931224
"Martina Ertl"	0.0931178
"Jana Novotna"	0.0925262
"Randy Barnes"	0.0918122
"Cathy Freeman"	0.0915876
"Gong Ruina"	0.0908292
Bayi	0.0905988
"Taufik Hidayat"	0.0904621
"Wayne Ferreira"	0.0900912
"Monica Seles"	0.0899348
"Michael Schumacher"	0.0896669
"Sergei Bubka"	0.0896013
"Gail Devers"	0.0895826
Gremio	0.0890887
"Liu Xuan"	0.0888168
"John Godina"	0.0884325
Wakanohana	0.0883281
"Schalke @@"	0.0883088
"Liu Yong"	0.0883079
Edberg	0.0882521
"C.J Hunter"	0.088225
"Riddick Bowe"	0.0879252
"Pete Sampras"	0.0878598
"Christine Arron"	0.0876214
"Andre Agassi"	0.0874502
"Velez Sarsfield"	0.0874389
Gama	0.0873213
"Deng Yaping"	0.0871951
"Detroit Red Wings"	0.0871579
"Houston Comets"	0.0867324
"Fabrice Santoro"	0.0864809
"Pernilla Wiberg"	0.0863846
"Pernell Whitaker"	0.0863651
"Samantha Riley"	0.086291
"Gong Zhichao"	0.0860882
"Juan Montoya"	0.0858664
"Jason Stoltenberg"	0.0858082
Shenhua	0.0855194
Jansher	0.0854448
"Donovan Bailey"	0.085419
"Annika Sorenstam"	0.0853585
))
(Anatomy (desc 11952.5) (sims
physiology	0.15281
biochemistry	0.144941
biology	0.131828
geology	0.122483
zoology	0.118662
psychology	0.108384
neuroscience	0.102753
pharmacology	0.102488
anthropology	0.101372
genetics	0.100467
astronomy	0.0981889
geography	0.0969274
ecology	0.0947246
"molecular biology"	0.0942301
dermatology	0.0932493
"computer science"	0.0907689
pathology	0.0878407
psychiatry	0.0865438
physics	0.0854755
linguistics	0.0844388
mathematics	0.0832142
civics	0.0827443
archaeology	0.0824441
ophthalmology	0.082243
sociology	0.0819483
Chemistry	0.0818058
"earth science"	0.0770155
neurobiology	0.0754698
neurology	0.0750276
archeology	0.0745341
Botany	0.0744803
evolution	0.073238
"political science"	0.0728142
calculus	0.0725951
geriatrics	0.071977
economics	0.0717064
microbiology	0.0714793
"mechanical engineering"	0.0703672
"environmental science"	0.0700223
radiology	0.0689286
Etiquette	0.0681658
"physical education"	0.0671683
epidemiology	0.0669408
astrophysics	0.0669057
Pediatrics	0.0663603
meteorology	0.0655002
science	0.0643927
workings	0.0642727
oceanography	0.0636705
philosophy	0.0636701
math	0.0633658
criminology	0.0631962
Immunology	0.0620847
agronomy	0.0619953
obstetrics	0.0614723
dynamics	0.0613835
theology	0.0607323
"social science"	0.0604975
"internal medicine"	0.0603792
literature	0.0596083
"chemical engineering"	0.0594605
ethic	0.0586058
endocrinology	0.0585548
Talmud	0.0584242
paleontology	0.0574776
"civil engineering"	0.0572798
"computer programming"	0.0571842
"information science"	0.0568025
"life style"	0.0567954
"nuclear physics"	0.0564587
algebra	0.0563779
sexuality	0.0554227
engineering	0.0551699
"medical history"	0.0544242
geometry	0.0536163
"electrical engineering"	0.0535995
nutrition	0.0533319
composition	0.0532415
characteristic	0.0528487
architecture	0.0525613
grammar	0.0524367
folklore	0.0512672
Urology	0.0512375
"preventive medicine"	0.0511253
"biological science"	0.0510394
oncology	0.0509485
"fine arts"	0.0503359
horticulture	0.0503209
entrepreneurship	0.0498419
"urban planning"	0.049663
dentistry	0.0491925
trait	0.0479886
nursing	0.047798
"criminal law"	0.0472356
yoga	0.0469571
"life science"	0.04664
lifestyles	0.0465154
origin	0.0464443
"circadian rhythm"	0.0463976
habit	0.0462311
metabolism	0.0462263
cortex	0.0457359
"artificial intelligence"	0.0457148
TCM	0.0454916
"medical science"	0.0451853
skeleton	0.0451656
"life cycle"	0.0451488
"adult education"	0.0445637
demography	0.0444963
socialization	0.0443055
eighth-grade	0.0442957
intricacy	0.0442404
"social system"	0.0434967
Buddhism	0.0433038
chromosome	0.0432242
Journalism	0.0430795
forensics	0.0429701
DNA	0.0429383
diversity	0.0428606
hygiene	0.042702
genome	0.0424254
"fine art"	0.0422051
subculture	0.0421962
uniqueness	0.0421191
archetype	0.0420263
Putonghua	0.0418606
"New Testament"	0.0418116
genealogy	0.0417716
"atomic energy"	0.0417523
foible	0.0416985
"subject matter"	0.0416497
"speech pattern"	0.0414365
accounting	0.0412911
mythology	0.0410913
makeup	0.0410115
"social work"	0.0409264
demographics	0.040909
Bible	0.0409088
gender	0.0406216
genomes	0.0404936
migration	0.0404657
"medical practice"	0.0402912
fossil	0.0401383
"social structure"	0.0400536
"liberal arts"	0.0400284
))
(ANC (desc 17892.7) (sims
"African National Congress"	0.338397
IFP	0.218306
NP	0.186294
"Inkatha Freedom Party"	0.168818
LDP	0.16278
"National Party"	0.15531
DP	0.150038
"Pan Africanist Congress"	0.144403
CPP	0.142367
UNP	0.134471
"Labor Party"	0.133743
"Congress Party"	0.132805
BJP	0.131689
"Democratic Party"	0.130591
"Communist Party"	0.129806
UNIP	0.1223
"Socialist Party"	0.122219
MMD	0.12221
PRI	0.121092
Likud	0.120647
"Liberal Party"	0.118699
"Liberal Democratic Party"	0.118252
SPD	0.118118
"Social Democrats"	0.117699
IPU	0.11728
Kanu	0.115046
Golkar	0.114942
"Sinn Fein"	0.114432
UDM	0.11404
"National Front"	0.111628
NLD	0.11066
"Conservative Party"	0.110473
"Bharatiya Janata Party"	0.110417
NDF	0.109432
NC	0.10849
MDC	0.10797
COSATU	0.107243
party	0.107051
Zanu-pf	0.106072
CCM	0.105936
"Likud Party"	0.105471
BNP	0.105319
Hezbollah	0.105163
Renamo	0.10425
FUNCINPEC	0.104222
UNITA	0.103577
MQM	0.103373
"United Democratic Movement"	0.100981
Shas	0.100916
"National Action"	0.100263
"National League for Democracy"	0.100088
UUP	0.0996066
CDU	0.0984742
"People's Party"	0.0980546
NKP	0.0972949
Hamas	0.0964732
CPC	0.0963999
"Pakistan Muslim League"	0.0961777
"Palestine Liberation Organization"	0.0956915
"Nationalist Party"	0.0949055
MILF	0.0948658
KLA	0.0948536
Meretz	0.0944679
PPP	0.0938421
Taliban	0.0938408
KDP	0.0937749
SDP	0.0935165
"political party"	0.0932278
ETA	0.0931695
"Awami League"	0.0931257
Zapatistas	0.0926605
"opposition party"	0.0922832
NPA	0.0921834
"Khmer Rouge"	0.0920382
"Christian Democrats"	0.0909728
UMNO	0.0907609
NAACP	0.0905554
PKK	0.0899917
FARC	0.0894922
OSCE	0.0893455
RUF	0.088748
IRA	0.0887306
"Social Democratic Party"	0.0886396
"Liberal Democrats"	0.0884169
PLO	0.0867393
"Kenya African National Union"	0.0867262
"Arab League"	0.0862382
LTTE	0.0861164
PDP	0.085881
SPLA	0.0849008
"Institutional Revolutionary Party"	0.0847854
TRC	0.084555
"labor union"	0.084479
PA	0.0843606
RPR	0.0842705
GOP	0.084254
FRELIMO	0.0839961
NDP	0.0836777
PNA	0.0831503
"Janata Dal"	0.0830074
"Irish Republican Army"	0.0829261
"Muslim Brotherhood"	0.0828768
PASOK	0.0827755
"National Resistance Movement"	0.0827383
USOC	0.0824219
junta	0.0823523
"United National Independence Party"	0.0819033
OAU	0.0817236
IOC	0.0806371
PAC	0.0805797
union	0.08046
faction	0.0801864
UDF	0.0801226
"Palestinian Authority"	0.0799673
Communist	0.0798525
NRA	0.0797183
PML	0.0794409
Fujimori	0.0793182
Tory	0.0789499
socialist	0.078939
"Freedom Front"	0.0787545
"Chinese Communist Party"	0.0786754
administration	0.0785731
"Republican House"	0.0784484
"Green Party"	0.0783574
MNLF	0.0782566
Giuliani	0.0782052
"Democrat Party"	0.0781477
"Revolutionary Party"	0.077997
Rabbani	0.0779681
"Baath Party"	0.0776359
"trade union"	0.0771345
Coalition	0.0771086
PUK	0.0770181
UAW	0.076857
"Republican Party"	0.0767605
NRM	0.0767455
FIFA	0.0767443
NATO	0.0767094
"Cambodian People's Party"	0.0766766
UFW	0.0764061
"New Aspiration Party"	0.0762036
Mugabe	0.0761271
SDS	0.0759749
PDI	0.0759281
GCC	0.0759045
WEU	0.0758357
ama	0.0758112
Kremlin	0.0755701
RNC	0.0755337
Council	0.0755113
SADC	0.0751731
Trimble	0.0749662
ARATS	0.0749494
"Ulster Unionist Party"	0.0748444
Kohl	0.0745512
Fatah	0.074493
Yabloko	0.0744258
"U.S. Soccer Federation"	0.0743746
Duma	0.0741484
insurgent	0.0740065
ELN	0.0739326
Alliance	0.0739072
"New Korea Party"	0.0738825
Khatami	0.0738066
OIC	0.073503
mujahedeen	0.0733936
"Hun Sen"	0.0733336
IAAF	0.0731625
U.N.	0.0730008
Cardoso	0.0728355
"Freedom Party"	0.0727468
Kuomintang	0.0726722
"Palestinian National Authority"	0.072519
"Herri Batasuna"	0.0724992
Maskhadov	0.0724791
OPEC	0.0723927
FA	0.0722286
Haider	0.0721966
"Reform Party"	0.0720406
militia	0.0719866
"United National Party"	0.0719342
FN	0.0718442
"Nepali Congress"	0.0718156
DAP	0.0717991
Kabila	0.071746
"Bangladesh Nationalist Party"	0.071715
"Christian Coalition"	0.071646
Pataki	0.071601
"Popular Party"	0.0715376
"Afghan Taliban"	0.0714189
Pd	0.0713468
Megawati	0.0712606
AmCham	0.0710931
EC	0.0710705
labor	0.0708794
"Parti Quebecois"	0.0708792
Milosevic	0.0706964
"China Democracy Party"	0.0705637
Berisha	0.0705282
))
(ancestor (desc 33582.6) (sims
forebear	0.112957
forefather	0.108638
grandfather	0.0916392
lineage	0.0905945
descendant	0.0892081
fossil	0.0822189
heritage	0.0800429
specie	0.0780408
ancestry	0.0752193
Dinosaur	0.0737033
skeleton	0.0731291
origin	0.0729982
hominid	0.0725743
tribe	0.0724119
father	0.0708813
civilization	0.0708065
grandparent	0.070788
slave	0.0691005
"great grandfather"	0.0675168
God	0.067025
creature	0.0644622
Neanderthal	0.0640096
tradition	0.0633843
relative	0.0628209
parent	0.0624193
mammal	0.0618872
culture	0.0616068
"loved one"	0.0612111
animal	0.0611819
chimpanzee	0.0611477
African	0.0610105
human	0.0605137
hero	0.0596237
mother	0.0591728
colonist	0.0590291
cousin	0.0578579
descendent	0.0578555
emperor	0.0570335
"Jesus Christ"	0.0568773
uncle	0.0565807
predecessor	0.0560836
"human being"	0.0557702
"native American"	0.0556142
victim	0.0555117
deceased	0.0552931
bird	0.0545162
Goddess	0.0544075
organism	0.053997
grandmother	0.0535396
immigrant	0.0534671
"family member"	0.053202
Kin	0.0530123
root	0.0528889
Jew	0.0524464
poet	0.0516531
generation	0.0514812
offspring	0.0512343
inhabitant	0.0506443
legend	0.0504985
warrior	0.0504173
settler	0.0503077
elephant	0.0502598
subspecies	0.0500035
religion	0.0499906
Primate	0.0499637
brother	0.0499082
master	0.0498794
pet	0.049635
heir	0.0496067
artist	0.0494839
evolution	0.0494363
Deng	0.0492962
deity	0.0492594
Princess	0.0491469
Jesus	0.0489982
dynasty	0.0487952
martyr	0.0485257
soldier	0.0483771
remains	0.0482483
individual	0.0481304
comrade	0.0481156
skull	0.0480205
"ethnic group"	0.0475541
microbe	0.0475332
footprint	0.047398
ape	0.0473694
painter	0.0473396
nature	0.0473391
specimen	0.0471398
Explorer	0.0469337
composer	0.0466556
idol	0.0464926
namesake	0.046274
"American Indian"	0.0462641
prophet	0.0460269
Buddha	0.0460235
christian	0.045985
lover	0.0458956
deer	0.0458884
whale	0.045703
Pioneer	0.04567
Indian	0.0456185
homeland	0.0455176
author	0.0455043
mankind	0.0454206
elder	0.0452479
citizen	0.0451698
clan	0.0451639
neighbor	0.0450897
Hunter	0.04508
relic	0.0450569
athlete	0.0449881
king	0.0449034
monarch	0.0448874
farmer	0.0447684
aunt	0.0447076
husband	0.0446447
"royal family"	0.0446357
dad	0.0444456
Childhood	0.0444221
creator	0.0443671
Saint	0.0443603
Muslim	0.0442907
identity	0.0442491
witch	0.044215
"Thomas Jefferson"	0.0440784
Chinese	0.0438397
treasure	0.0437896
Diana	0.0437112
folk	0.0436901
laborer	0.0436326
custom	0.043517
nomad	0.0434935
faith	0.0434621
artifact	0.0434067
survivor	0.0433795
czar	0.0432961
nationality	0.0432061
thousand	0.0431721
beauty	0.0430579
soul	0.042797
humanity	0.0427699
craftsmen	0.0425723
Kennedys	0.0425521
ghost	0.042518
rhinoceros	0.0424677
"founding father"	0.0424634
legacy	0.0424527
surname	0.0421502
youth	0.042126
million	0.0420743
upbringing	0.0419962
Sacrifice	0.0418928
"life form"	0.0418874
sailor	0.0418617
characteristic	0.0418542
herd	0.041763
"art form"	0.0417271
missionary	0.0417204
Gene	0.041633
spouse	0.0415879
celebrity	0.0414231
priest	0.0413146
ruler	0.0412821
occupant	0.0412685
"large number"	0.0412368
spirit	0.0412145
birthplace	0.0411922
Christ	0.0411065
heroine	0.0409679
painting	0.0409397
scientist	0.0408797
bone	0.0408259
epoch	0.0407836
villager	0.0406103
politician	0.0405075
entrepreneur	0.0404798
"young man"	0.0404529
writer	0.0404484
boyhood	0.0403926
cuisine	0.040349
"young woman"	0.040312
trait	0.040204
Mexican	0.0401779
founder	0.0401584
migrant	0.0401249
reptile	0.0400716
dog	0.0400284
))
(ancestry (desc 10627.9) (sims
descent	0.186072
origin	0.16006
ethnicity	0.131029
nationality	0.109516
heritage	0.107989
parentage	0.0991801
lineage	0.0989285
bloodline	0.0944968
"voting age"	0.0940452
"social class"	0.0833786
"marital status"	0.0812688
proverb	0.0781018
creed	0.0778362
diaspora	0.0766957
dialect	0.0754323
ancestor	0.0752193
"skin color"	0.0743056
nationalism	0.0711466
gender	0.0697357
background	0.0686399
orientation	0.066089
identity	0.066087
surname	0.0588589
cuisine	0.0587809
persuasion	0.0584415
Creole	0.058322
citizenship	0.058198
religion	0.0579457
extraction	0.0573851
emigrant	0.0569032
folklore	0.0567751
"ethnic group"	0.0558595
"folk song"	0.055712
accent	0.0550324
affiliation	0.0541462
"burial ground"	0.0534235
disability	0.0518912
authorship	0.0506412
"folk music"	0.0505907
colonizer	0.0500149
antecedent	0.0497977
brogue	0.049443
Consul-General	0.0485423
colonist	0.0485055
"word meaning"	0.0484649
slang	0.0481478
literature	0.0476163
spirituality	0.0471544
mythology	0.0468649
inferiority	0.0467091
cabinetmaker	0.0460871
provenance	0.0459304
sexuality	0.0459163
Malay	0.0456493
"social status"	0.0453778
expatriate	0.0453113
civilization	0.0451042
migrant	0.0450035
FM	0.044833
"man of letters"	0.0447734
alphabet	0.044773
"folk art"	0.0444257
nobleman	0.0442842
forebear	0.0442538
genealogy	0.0441481
colonization	0.0441463
"naval officer"	0.0441178
emigre	0.0434451
conscience	0.0434003
congregants	0.0432369
musicologist	0.0431607
"national anthem"	0.0431075
descendant	0.0426446
major-leaguers	0.042132
"religious belief"	0.0420213
Cookery	0.0416655
"family name"	0.0414519
colonialism	0.0413758
upbringing	0.0411726
ceramics	0.0411525
"inferiority complex"	0.0408782
aristocracy	0.0405983
"burial site"	0.0401277
))
(anchor (desc 36394.4) (sims
anchorman	0.161928
newsman	0.126218
newscaster	0.11891
correspondent	0.114657
commentator	0.101619
host	0.0939209
moderator	0.0897441
co-anchor	0.0831836
cameraman	0.0801909
announcer	0.0785132
sportscaster	0.077508
producer	0.0764091
"Tom Brokaw"	0.0758578
"news program"	0.0724989
"Mike Wallace"	0.0722846
viewership	0.0719033
journalist	0.0702674
editor	0.0687403
broadcast	0.067187
"managing editor"	0.0670106
"Dan Rather"	0.0655802
broadcaster	0.0642551
newscast	0.0640033
programming	0.0630551
reporter	0.0627193
"talk show"	0.0611926
executive	0.0610032
Programmer	0.0601998
publicist	0.0596506
"disc jockey"	0.0590919
cameramen	0.0588227
photographer	0.0576027
"Katie Couric"	0.0574603
writer	0.0570376
copywriter	0.0561747
columnist	0.0552745
"Peter Jennings"	0.0544362
"executive vice president"	0.0540657
presenter	0.0539632
"art director"	0.0536586
conductor	0.0535305
viewer	0.0530583
hostess	0.0527814
"master of ceremonies"	0.0525297
cinematographer	0.0523959
"Barbara Walters"	0.0516385
segment	0.0513335
comedian	0.0509302
"senior vice president"	0.0508232
lifeguard	0.0507518
technician	0.0505315
designer	0.0502335
actor	0.0499
sportswriter	0.0498863
narrator	0.0495067
"Diane Sawyer"	0.0492688
personality	0.0492621
"general manager"	0.049092
author	0.0489331
assistant	0.0489284
analyst	0.0488222
pundit	0.0487546
"talking head"	0.0486809
performer	0.0481731
"news show"	0.0481201
channel	0.0478537
"chief financial officer"	0.0478392
cornerstone	0.0478037
staffer	0.0477395
organist	0.0470867
instructor	0.0470044
arranger	0.0467537
chef	0.0466496
"television reporter"	0.0465443
crew	0.0465261
reviewer	0.0464823
receptionist	0.0464794
backbone	0.0464526
actress	0.0464522
interviewer	0.0464366
Telecast	0.0463496
translator	0.0460431
"copy editor"	0.0456498
DJ	0.0453659
administrator	0.0453527
"role model"	0.0452394
CEO	0.0450709
cartoonist	0.0450253
affiliate	0.0449957
engineer	0.0449487
"sports editor"	0.0445614
screenwriter	0.0445324
nurse	0.0444994
"Walter Cronkite"	0.0443628
guru	0.0442786
coverage	0.0441689
interpreter	0.0441598
preacher	0.0440861
CFO	0.0439861
sportswriters	0.0439434
psychiatrist	0.0438771
curator	0.0438053
entertainer	0.0437924
newsmagazine	0.0437249
contestant	0.0436431
pastor	0.0436155
artist	0.0435235
execs	0.043497
musician	0.0433955
"social worker"	0.0431402
gatekeeper	0.0431183
consultant	0.0430091
"venture capitalist"	0.0429794
rating	0.042934
teacher	0.0429291
detective	0.0428577
creator	0.0428311
"movie star"	0.042573
controller	0.0425721
superintendent	0.0425394
clerk	0.0424887
supervisor	0.0424773
publisher	0.0424745
"faculty member"	0.0423648
"football coach"	0.0423224
studio	0.0422799
counselor	0.0422192
CNN	0.0421559
editor-in-chief	0.0420602
captain	0.0420409
singer	0.041949
historian	0.041931
attendant	0.041906
therapist	0.0418924
lobbyist	0.0418866
caddie	0.0417876
accountant	0.0416718
coordinator	0.0415972
architect	0.0415593
physician	0.0414937
psychologist	0.0414178
caretaker	0.0414075
linchpin	0.0413893
cashier	0.0413476
guest	0.0413248
stockbroker	0.0413135
"newspaper editor"	0.041287
dancer	0.0412666
operative	0.0412224
chaplain	0.041112
mainstay	0.0410807
TV	0.0410031
icon	0.0409453
"English teacher"	0.0408303
critic	0.0407181
paramedic	0.0407102
comic	0.0406016
steward	0.0403974
waiter	0.0403887
documentary	0.0403462
"pitching coach"	0.0403096
honcho	0.0402063
scout	0.0401856
"investment banker"	0.0401024
))
(anchorage (desc 11080.9) (sims
Honolulu	0.138268
"Little Rock"	0.12399
Minneapolis	0.122692
"San Juan"	0.120526
Newark	0.118621
Spokane	0.118261
Wilmington	0.11799
Brownsville	0.117572
Wichita	0.117448
"West Palm Beach"	0.117117
Raleigh	0.115719
Juneau	0.115216
BOGOTA	0.113322
"Fort Lauderdale"	0.111294
Rochester	0.110971
"Sao Paulo"	0.109111
"Mexico City"	0.109098
"Des Moines"	0.108068
"Oklahoma City"	0.10759
Portland	0.105872
Charleston	0.10569
Sacramento	0.104855
Birmingham	0.104727
"Guatemala City"	0.104696
Peshawar	0.104585
Tampa	0.103196
"San Antonio"	0.103125
Taipei	0.102626
"Tel Aviv"	0.101299
Tacoma	0.10103
"San Francisco"	0.100281
Albany	0.100239
Columbus	0.0998923
Memphis	0.0997761
Bangor	0.0977931
"Kansas City"	0.0969241
Hartford	0.0965825
TRENTON	0.0963446
Tucson	0.0959585
Chattanooga	0.0956228
"Fort Worth"	0.095145
SEOUL	0.0947801
Fairbanks	0.0943301
Macon	0.0940314
"Colorado Springs"	0.0939717
"Quebec City"	0.093739
"Salt Lake City"	0.0937143
Albuquerque	0.0934221
"New Haven"	0.0931263
"Los Angeles"	0.093102
"Baton Rouge"	0.0927922
"New Orleans"	0.0926634
Boise	0.0924481
"Las Vegas"	0.0922142
Port-au-Prince	0.0919892
TALLAHASSEE	0.0917175
Naples	0.091473
JOHANNESBURG	0.091394
Bangkok	0.0910697
Utica	0.0906591
"New York City"	0.0905233
Beaumont	0.0901989
Halifax	0.09014
"Long Beach"	0.0899295
Fresno	0.0899285
Topeka	0.0898001
Houston	0.0897664
"St. Petersburg"	0.0893324
Phoenix	0.0891993
Bridgeport	0.0888997
Morristown	0.0886589
Denver	0.0884494
Plattsburgh	0.088412
Flagstaff	0.0884068
Nashville	0.0883319
Greenville	0.0882732
Poughkeepsie	0.0882464
Richmond	0.0881744
Jasper	0.0878536
Eureka	0.0877327
Indianapolis	0.087679
"Garden City"	0.087676
"La Paz"	0.0876531
Hillsboro	0.0876304
Gainesville	0.0875946
Lubbock	0.0875152
Louisville	0.0874563
Seattle	0.0873369
Akron	0.0871873
"Key West"	0.0871135
Austin	0.0870637
"El Paso"	0.0868927
"Twin Cities"	0.0866327
Eugene	0.0864936
"San Jose"	0.0864797
"San Diego"	0.0863848
Omaha	0.0857256
Milwaukee	0.085516
Savannah	0.08541
CARACAS	0.085195
"Santa Fe"	0.0849821
Atlanta	0.0846067
ZAGREB	0.0843509
Manchester	0.0841793
Chicago	0.0840497
CHENGDU	0.0838763
Boston	0.0838664
BUDAPEST	0.0838563
Manila	0.0838218
Auckland	0.0837177
Amman	0.0836154
Detroit	0.0833738
Istanbul	0.0833696
Vladivostok	0.0830742
Osaka	0.0830328
Tokyo	0.0826766
Acapulco	0.0825752
"Corpus Christi"	0.0825694
Huntsville	0.0824252
Dallas	0.0822618
MELBOURNE	0.0822269
Philadelphia	0.0822217
Springfield	0.0819098
Harrisburg	0.0818865
Montreal	0.0818143
LAKEWOOD	0.0816409
Paterson	0.0814711
Baltimore	0.0814667
ASHEVILLE	0.0813758
Redding	0.0811615
Orlando	0.080928
"Buenos Aires"	0.0806192
LISBON	0.0805523
LONDON	0.0803923
Ensenada	0.080346
Mankulam	0.080041
"Santo Domingo"	0.0799646
Amarillo	0.0799294
Hyderabad	0.0798807
Algiers	0.0797199
DHAKA	0.0794891
Santiago	0.0794674
"Phnom Penh"	0.0794659
Beirut	0.0793427
Alexandria	0.0792533
Knoxville	0.0790852
Laramie	0.078922
Stamford	0.0788945
Pittsburgh	0.0783968
Shreveport	0.0782582
Lima	0.0782577
"Cape Town"	0.0780287
Burlington	0.0779647
Pristina	0.0778383
Miami	0.0773723
Guadalajara	0.0773431
HARARE	0.0773047
Oakland	0.0772612
"Saratoga Springs"	0.0772413
Lahore	0.0772326
"New Delhi"	0.0771943
Bombay	0.0770818
Pasadena	0.0770198
Jamestown	0.0769691
"Santa Monica"	0.0769468
"Ho Chi Minh City"	0.0767821
Vancouver	0.0766958
Katmandu	0.0766468
CAIRO	0.0765666
Binghamton	0.076351
Dushanbe	0.0762263
"Washington D.C."	0.0761441
Charlotte	0.0759724
Toronto	0.075924
Brisbane	0.0758127
"Kuala Lumpur"	0.0757829
BUCHAREST	0.0757133
Dublin	0.0756523
Bulawayo	0.0754713
Jacksonville	0.0754402
Tijuana	0.0754128
Odessa	0.0751109
"White Plains"	0.0751026
"Orange County"	0.0750101
Paris	0.0748264
"Palm Beach"	0.0747818
Kathmandu	0.0746881
"San Salvador"	0.0746328
KIEV	0.0745958
Freeport	0.07444
Manhattan	0.074342
Lhasa	0.0742527
"St. Louis"	0.0741959
ATHENS	0.0741663
Managua	0.0740515
Augusta	0.0739558
Kunming	0.0738234
Vienna	0.0737886
Jakarta	0.0736433
Belfast	0.0736358
))
(anchorman (desc 4282.65) (sims
newsman	0.190156
newscaster	0.185658
anchor	0.161928
cameraman	0.0956912
"Walter Cronkite"	0.0906506
weatherman	0.0895174
sportscaster	0.0860468
moderator	0.0806115
correspondent	0.0800522
Promo	0.0666809
"altar boy"	0.0666566
"situation comedy"	0.066523
newswoman	0.0645147
cameramen	0.0636584
"Dan Rather"	0.0626241
co-anchor	0.062574
Itogi	0.0612589
commentator	0.0608362
"Tom Brokaw"	0.0601881
ABS-CBN	0.0587228
"talent scout"	0.0578887
alderman	0.0577288
announcer	0.0568901
exec	0.0559761
scriptwriter	0.055927
"Bernard Shaw"	0.0555984
repairman	0.0555262
evangelist	0.0547602
"Sela Ward"	0.053429
Allergist	0.0509761
copywriter	0.0508214
"Edward R. Murrow"	0.0507174
newscast	0.0499174
"ad blitz"	0.0499064
execs	0.0498943
"Brian Williams"	0.0495001
"financial officer"	0.0490594
"newspaper publisher"	0.0487297
"police captain"	0.0486105
"sports writer"	0.0478389
Joklik	0.0474948
"aerospace engineer"	0.047379
"drama critic"	0.0470757
interviewer	0.0468541
"police lieutenant"	0.046794
booker	0.0464023
"TV star"	0.0463268
"sports editor"	0.0462756
"news show"	0.0462317
newsmagazine	0.0461794
claimer	0.0460133
Intimidator	0.0459539
exterminator	0.0457405
dealmaker	0.0456283
"radio announcer"	0.0456077
infantryman	0.0454879
"Katie Couric"	0.0453512
"police sergeant"	0.0451424
"foreign service officer"	0.0447584
bigwig	0.0447164
honcho	0.0439445
"news program"	0.0438548
"master of ceremonies"	0.0436341
"Mike Wallace"	0.0433462
Un-yong	0.0432426
"staff officer"	0.0431342
publicist	0.0430116
"weather forecaster"	0.0429473
Promos	0.0428189
junkie	0.0426922
stuntman	0.0426345
clicker	0.0425173
sportswriter	0.0423993
"Lou Dobbs"	0.0423697
Postmaster	0.0422636
urologist	0.0419206
viewership	0.0418863
"business editor"	0.0418086
"relay stations"	0.0415452
"exotic dancer"	0.0415127
"Bill Moyers"	0.0413135
anesthesiologist	0.0411215
toxicologist	0.0407781
"picture tube"	0.0407055
bodybuilder	0.0406246
"letter writer"	0.0402144
"Home Improvement"	0.0401061
))
(anchovy (desc 6687.64) (sims
Basil	0.198487
oregano	0.193726
parsley	0.191307
"red pepper"	0.184286
chilies	0.182962
"pine nut"	0.179801
shallot	0.176356
sardine	0.175734
"green onion"	0.175711
Garlic	0.170358
"lemon zest"	0.168368
"red onion"	0.167473
chive	0.164895
tomato	0.164333
thyme	0.162383
tarragon	0.161227
cilantro	0.160457
caper	0.158993
marjoram	0.155195
"bell pepper"	0.153715
tuna	0.152983
jalapeno	0.152953
Chickpea	0.152844
olive	0.152477
onion	0.15213
scallion	0.149609
mackerel	0.147366
"black olive"	0.145655
mushroom	0.143545
fennel	0.142038
celery	0.141562
mint	0.140351
rosemary	0.139613
artichoke	0.139041
vinegar	0.138555
"lemon juice"	0.137779
pepper	0.137357
ginger	0.133586
cayenne	0.131815
"green pepper"	0.13131
dill	0.130418
spinach	0.13039
eggplant	0.128952
"bay leaf"	0.128641
cucumber	0.128003
chervil	0.127821
Parmesan	0.127525
squid	0.127421
"lima bean"	0.127197
shrimp	0.126753
"green bean"	0.125686
chiles	0.125212
paprika	0.125136
horseradish	0.122409
mustard	0.122352
"lime juice"	0.121998
"olive oil"	0.121936
lemon	0.121348
herring	0.120975
clam	0.120889
"sea bass"	0.120236
coriander	0.119594
herb	0.118625
"hot pepper"	0.118137
"chili pepper"	0.117986
"tomato sauce"	0.117915
"chili powder"	0.11681
raisin	0.11659
halibut	0.115896
mozzarella	0.115584
asparagus	0.115468
peppercorn	0.114042
"goat cheese"	0.112868
"tomato paste"	0.111741
cumin	0.111707
cheese	0.111601
breadcrumb	0.111424
mayonnaise	0.111248
okra	0.111058
salmon	0.110408
carrot	0.110114
zucchini	0.109349
"lemon peel"	0.108461
walnut	0.108028
arugula	0.107308
"garlic clove"	0.106696
"Worcestershire sauce"	0.106638
"soy sauce"	0.105931
almond	0.104857
"brown sugar"	0.10448
flounder	0.104326
lettuce	0.103848
ricotta	0.103425
salt	0.102032
sausage	0.101741
fig	0.101666
walleye	0.101633
leek	0.101144
paste	0.101014
"coconut milk"	0.100525
"striped bass"	0.0993603
flake	0.0992657
Chili	0.0990667
Broccoli	0.0984761
ham	0.0981229
"peanut butter"	0.0979674
cod	0.0978625
pea	0.0977269
salami	0.0968258
"red snapper"	0.0963241
scallop	0.0962841
lemongrass	0.0961721
tomatillo	0.0954589
prosciutto	0.0951676
monkfish	0.0948671
cabbage	0.0946531
"cherry tomato"	0.0938914
bean	0.0936897
"pepper sauce"	0.0935861
"dried fruit"	0.0922025
potato	0.0918419
"orange juice"	0.0912543
"brussels sprout"	0.0912436
fettuccine	0.0912334
"white bean"	0.0910984
"bean sprout"	0.0909806
"orange zest"	0.0906761
crumb	0.0899778
vegetable	0.0899406
truffle	0.0898244
"fava bean"	0.0897261
"black pepper"	0.0897041
pecan	0.0896972
crab	0.0896568
pork	0.0895766
"peanut oil"	0.0895392
saffron	0.0895042
lobster	0.0893677
lime	0.0889757
"hard-boiled egg"	0.0886994
cornstarch	0.088563
vinaigrette	0.0885172
seasoning	0.0883359
"sweet potato"	0.0881055
nutmeg	0.0872992
nut	0.0871458
fillet	0.0871107
egg	0.0867103
coconut	0.0864835
"sour cream"	0.0863153
"chicken broth"	0.0863133
clove	0.0859732
croutons	0.0854565
"orange peel"	0.0853565
"sesame oil"	0.0853313
tahini	0.0852615
yogurt	0.0852371
"mustard seed"	0.0852154
pineapple	0.0851108
"black bean"	0.0850152
"egg yolk"	0.0848816
"tuna fish"	0.0845516
"hot sauce"	0.0842548
butter	0.0842108
bacon	0.0840961
lentil	0.0837328
oyster	0.0836818
sauerkraut	0.0834648
avocado	0.083353
"fennel seed"	0.0832189
radish	0.0830824
"shiitake mushroom"	0.0826324
octopus	0.0825502
Sage	0.0823687
"water chestnut"	0.0823294
chard	0.0822334
pickle	0.0820858
sauce	0.0818981
pesto	0.0815523
meatball	0.0814784
TOMATOES	0.0814782
"grated cheese"	0.0813674
"green olive"	0.0812756
watercress	0.0811617
"foie gras"	0.0810905
allspice	0.0805428
Cherry	0.0805038
currant	0.0803807
bluefish	0.0801721
pancetta	0.0797501
puree	0.0797403
radicchio	0.0795852
FETA	0.0794568
Whitefish	0.0790051
beet	0.0789233
"white wine"	0.0789211
"cayenne pepper"	0.0789164
chicken	0.0784413
ketchup	0.0783428
sherry	0.0778586
))
(ancients (desc 905.309) (sims
"mountain gorilla"	0.0795202
transnationals	0.0732376
hominid	0.0642187
stinker	0.0623112
Astaire	0.0613104
hyphen	0.0604739
forefather	0.0596814
"supper club"	0.0585692
Irishmen	0.0567586
defoliant	0.0562374
GEF	0.055986
metaphysics	0.0556247
DEP	0.0554969
Humvees	0.0554309
"atmospheric condition"	0.0553019
Creationists	0.0552186
drivel	0.0539606
"blind spot"	0.0535434
"dead person"	0.0528935
"Health and Welfare Ministry"	0.0528515
"hard drug"	0.0525515
"New Democrats"	0.0525353
"Pudong International Airport"	0.0525097
flopping	0.0524003
varietals	0.0523368
Chinese-Indonesians	0.0518523
newbies	0.0518406
"meteor shower"	0.0518252
meccas	0.0517908
"market watcher"	0.051579
"Lahore Declaration"	0.0514957
"wild horse"	0.0514463
"mechanical device"	0.0512091
"nearly @@@ million yuan"	0.0511251
skateboarder	0.0509454
comity	0.0504877
"Manhattan Project"	0.0502995
"parliamentary democracy"	0.0502616
"Great Wall"	0.0501019
nunnery	0.049956
"three pitchers"	0.0498973
marbles	0.0498536
cyclicals	0.0491836
"gas plant"	0.0491168
rascal	0.0490666
metropolises	0.0489427
aromatics	0.048687
"Martha Graham"	0.0485514
Woolworth	0.0485341
"Reagan Democrats"	0.0478902
"Cuban Americans"	0.0475977
spotter	0.047278
specialities	0.0470142
"mental disorder"	0.0469524
"Underground Railroad"	0.0469459
"department store chain"	0.0468053
megamergers	0.0467241
"entitlement program"	0.0466657
militarism	0.0465871
"Homo erectus"	0.0462509
"Texas Department of Health"	0.0461357
smugness	0.0461323
westerner	0.0460891
"female body"	0.0460684
pinwheel	0.0459756
potentate	0.045962
exterminator	0.0457895
Charley	0.0457131
"Empire State"	0.0453001
"subatomic particle"	0.0450057
concertgoers	0.0449715
Cineplex	0.044919
autoworkers	0.0447157
herbalist	0.0447105
"West Lake"	0.0446007
"vital organ"	0.0445678
"Greek Orthodox Church"	0.0445471
"juvenile delinquent"	0.0444671
"Jerry Garcia"	0.044427
Einstein	0.0441793
Italian-Americans	0.0439388
Confucius	0.0439225
Gibbon	0.0438382
"Red Violin"	0.0432579
"Boogie Nights"	0.0432091
old-timer	0.0430006
"George Wallace"	0.0429643
oddsmakers	0.0428802
"heavy hitter"	0.042862
"last two digits"	0.0428325
"dollar sign"	0.0428184
"target area"	0.0427403
"Andy Kaufman"	0.0427279
forebear	0.042683
canary	0.0426092
fuzziness	0.0425274
"two million yuan"	0.0425176
critters	0.0425071
"six billion yuan"	0.0424939
bonhomie	0.0424552
"electronics company"	0.0423433
preparers	0.0423379
SMIs	0.0422837
"street sign"	0.0421484
"Baby Bells"	0.0421322
pawnshop	0.042103
autocrat	0.0418591
hobo	0.0417717
commoner	0.0417243
suffix	0.0416923
"Zhou Enlai"	0.0416201
portraitist	0.0415551
beekeeper	0.0415456
Eameses	0.0413039
"danger zone"	0.0412114
"Broward County"	0.0411042
"shock therapy"	0.0410986
"Sahalee Country Club"	0.0410549
singer-songwriters	0.0408825
"torture chamber"	0.0407629
non-Serbs	0.0407041
Thoreau	0.0406657
nightspots	0.0406629
canker	0.0406087
"Love Bug"	0.0406007
clinician	0.0405935
"Ho Chi Minh"	0.0405573
godown	0.0404055
"No. @s"	0.0403818
"coffee bar"	0.0403654
"false teeth"	0.0402875
Coltrane	0.0402773
warhorse	0.040204
Parthenon	0.0401728
"fictional character"	0.0401638
knucklehead	0.0401124
"Dale Carter"	0.0400695
))
(And (desc 8037.2) (sims
Why	0.0676906
Q.	0.0594877
where	0.0529433
ILOVEYOU	0.0467185
oh	0.0464472
til	0.0456042
"what else"	0.04377
"wise guy"	0.0427887
shalt	0.0407733
))
("and gate" (desc 2155.09) (sims
Partway	0.0517487
sconce	0.0497206
depository	0.0496141
"car door"	0.0479186
sill	0.0471981
Dassault	0.0459037
Leuchter	0.0454797
forwarding	0.0450621
whistle-blowers	0.0427429
windscreen	0.0426284
Dunham	0.0421842
gasket	0.0414739
Wenger	0.0405706
))
("and so forth" (desc 8872.01) (sims
"and so on"	0.0555684
))
("and so on" (desc 18522.7) (sims
"and so forth"	0.0555684
))
("Andean Community" (desc 2471.55) (sims
"Andean Group"	0.259458
"Rio Group"	0.250219
"South American Common Market"	0.206225
"Group of Rio"	0.176286
Mercosur	0.167417
"Southern Common Market"	0.163384
"Damascus Declaration"	0.15411
eco	0.148216
"Caribbean Community"	0.14716
WEU	0.145562
SAARC	0.137407
G-@@	0.137392
"South Asian Association for Regional Cooperation"	0.129223
"Group of @@"	0.128566
G@@	0.126112
"South Pacific Forum"	0.12524
"Warsaw Pact"	0.122206
GCC	0.122187
"Group of Seven"	0.117517
ACP	0.115083
"Contact Group"	0.113362
"Association of Southeast Asian Nations"	0.113115
"Commonwealth of Independent States"	0.109104
SADC	0.108694
"Non-Aligned Movement"	0.10813
G-@	0.105598
OIC	0.105546
"Organization for Economic Cooperation and Development"	0.105198
"Paris Club"	0.10378
Ci	0.103486
CPLP	0.101848
E.U	0.101715
D-@	0.100303
ASEM	0.0991274
"Western European Union"	0.0965318
"Gulf Cooperation Council"	0.0958315
"Economic Cooperation Organization"	0.0958041
bloc	0.0954112
IGAD	0.0948847
OECD	0.0932396
"Southern African Development Community"	0.0930545
"Inter-Governmental Authority on Development"	0.0929282
"Group of Eight"	0.0916762
ASEAN	0.091009
troika	0.0900023
ARF	0.0898432
PECC	0.0886939
"customs union"	0.0875998
COMESA	0.086337
ECOWAS	0.0860253
"East African Cooperation"	0.0855867
APEC	0.0845071
EAC	0.0842676
"Central American country"	0.0841695
KEDO	0.0818398
"Asia-Pacific Economic Cooperation"	0.0806266
"Common Market for Eastern and Southern Africa"	0.0800609
"Southern Africa Development Community"	0.0788487
CMAG	0.0788444
"Organization of Islamic Conference"	0.0780092
JMC	0.076898
ESCAP	0.076693
"Organization of American States"	0.0764829
"Arab League"	0.0760684
Isthmus	0.0757338
NAM	0.0754789
"North American Free Trade Agreement"	0.0748055
"Common Market"	0.0737853
Thirty-three	0.0722562
"electoral college"	0.072093
"Council of Europe"	0.0716758
"Muslim Brotherhood"	0.0706289
"Pacific Rim"	0.0699411
"Congressional Black Caucus"	0.0690858
"Central America"	0.0681784
IEA	0.067588
OPEC	0.0673196
"Jeremy Wotherspoon"	0.0669062
"Economic Community"	0.0667283
"Zapatista National Liberation Army"	0.0662383
G@	0.0661794
OCA	0.0660954
"North Atlantic Treaty Organization"	0.0658979
"Rwandan Patriotic Front"	0.0658287
NDA	0.0653544
"Human Rights Commission"	0.0651767
"European Community"	0.0647672
SDMI	0.0639696
"European Council"	0.0636808
OAS	0.0635273
"Virtue Party"	0.0632201
"Supreme Council"	0.0631594
"core group"	0.0631237
"western hemisphere"	0.0627629
UNP	0.06266
FAO	0.0621816
SDS	0.0618811
UPU	0.0618786
"General Committee"	0.0616342
OSCE	0.061609
"Organization of Petroleum Exporting Countries"	0.0612375
grouping	0.0610218
"Star Alliance"	0.0607243
"Real IRA"	0.0606863
"Self-Defense Forces"	0.0604519
"Business Council"	0.0599205
"Economic Community of West African States"	0.0597308
CGI	0.0596748
NSC	0.059212
"Federal Open Market Committee"	0.0589467
"other eight"	0.0586329
WIPO	0.0581375
Mensa	0.0580548
"other five"	0.0577251
PATA	0.0576791
"Palestinian Council"	0.057596
WNBF	0.057481
CFA	0.057403
"regular army"	0.0574009
Baltic	0.057389
Lakas-NUCD	0.0572337
"Allied Pilots Association"	0.0568741
Forty-four	0.0568391
"Asia-Europe Meeting"	0.0566056
"Islamic Jihad"	0.0565836
"Canadian Alliance"	0.0565276
commonwealth	0.0562381
"steering committee"	0.0558688
Turgeon	0.0557078
"Israeli Foreign Ministry"	0.0556557
"PLO Executive Committee"	0.055638
"Ethics Commission"	0.0555405
Uruguay	0.0552712
"Red Army"	0.0551798
"Liberation Front"	0.0550896
"South American"	0.055026
subregion	0.0549823
Presidium	0.0548807
"Iraqi National Congress"	0.0548194
"United Steelworkers"	0.0547275
"interim committee"	0.0546944
CEC	0.0546893
"other six"	0.0544946
CONCACAF	0.0544857
"Latin American"	0.054385
CSC	0.0543593
"Aryan Nations"	0.0541756
"work group"	0.0541522
"Universal Postal Union"	0.0538532
"United National Party"	0.0538481
Lakas	0.0538011
FTA	0.0537176
CITES	0.053552
"military commission"	0.0535451
"Unites States"	0.0533322
"secret society"	0.0527449
"Election Committee"	0.0524871
"other nine"	0.0524154
Interpol	0.0523784
"popular front"	0.0522785
"ASEAN Regional Forum"	0.0521191
"Other @@"	0.0519366
"International Brotherhood"	0.0518992
"African Cup"	0.0518857
UNESCO	0.0518049
Forty-two	0.0517666
"National League for Democracy"	0.0517451
NAFTA	0.0515501
FOMC	0.0514019
"Islamic Movement"	0.0510871
"Asia Pacific Economic Cooperation"	0.0507033
NLD	0.0506399
"United Nations Conference on Trade and Development"	0.0505815
"European nation"	0.0505799
"National Democratic Alliance"	0.0505432
"Russian Duma"	0.0505035
"Center Party"	0.0502641
Thirty-four	0.0502236
"Audubon Society"	0.0500305
"Greek Orthodox Church"	0.0499996
"social group"	0.0498889
Asia-Pacific	0.0496433
Chinese-Indonesians	0.049313
"United Republic of Tanzania"	0.0492936
AmCham	0.0491806
"International Maritime Organization"	0.0489055
"Provisional Urban Council"	0.0488067
GATT	0.0486616
"Selection Committee"	0.0485761
"Executive Committee"	0.0485472
"Popular Party"	0.0484495
"Free Trade Area"	0.0484479
"Turkish Cypriot"	0.048434
Amal	0.0484244
"International Association of Machinists"	0.0483875
autocracy	0.0483801
"Delta Force"	0.048141
"United Democratic Movement"	0.0480018
sorority	0.047961
"United State"	0.0479176
))
("Andean Group" (desc 1074.56) (sims
"Andean Community"	0.259458
eco	0.181231
"Rio Group"	0.170174
G-@@	0.166703
KEDO	0.141884
WEU	0.138131
Mercosur	0.136259
EAC	0.128364
ACP	0.125307
ASEM	0.123591
COMESA	0.122346
CPLP	0.122035
"Damascus Declaration"	0.121985
IGAD	0.119218
"East African Cooperation"	0.118765
G@@	0.118332
"Group of Seven"	0.115374
"Group of Rio"	0.112555
"Warsaw Pact"	0.110733
SADC	0.108375
GCC	0.105945
"Group of @@"	0.105745
"Business Council"	0.100323
SAARC	0.098921
"Group of Eight"	0.0988651
IEA	0.0959506
PECC	0.0949041
CMAG	0.0937847
Chinese-Indonesians	0.0933755
NAM	0.0932245
UPU	0.0901804
"International Brotherhood"	0.0899889
"Contact Group"	0.0893586
ESCAP	0.088191
taskforce	0.0880936
E.U	0.0865334
CCF	0.0848441
"United Republic of Tanzania"	0.0825531
"Supreme Council"	0.081945
CFA	0.0816315
ARF	0.0815794
OIC	0.0804906
"Allied Pilots Association"	0.0804673
SDS	0.0798467
"European Council"	0.0796199
"Non-Aligned Movement"	0.0791489
troika	0.0790236
ECOWAS	0.0788744
Bundestag	0.0786397
D-@	0.0775152
G-@	0.0756909
Ci	0.0753202
UPC	0.0750462
"East African Community"	0.0742291
JMC	0.0741822
"International Association of Machinists"	0.0738192
CITES	0.0737988
"Ethics Commission"	0.0736854
"United Steelworkers"	0.0734287
"other five"	0.0724881
NDA	0.0721183
OCA	0.0720337
"Constitutional Assembly"	0.0714403
"National Thoroughbred Racing Association"	0.0712831
"Provisional Urban Council"	0.0709775
"electoral college"	0.0703996
"Paris Club"	0.0702927
"China National Petroleum Corporation"	0.0701819
"Lome Convention"	0.070178
UNIFIL	0.0698218
UNTAET	0.0697466
IPU	0.0697367
NSC	0.0694148
"Arab League"	0.0693942
OECD	0.0689969
PICC	0.068958
"Star Alliance"	0.0688265
"Provisional Legislative Council"	0.0684201
"Election Committee"	0.0682483
INRO	0.0676802
"repertory company"	0.0672171
INEC	0.0668818
"French capital"	0.0668557
ACWF	0.0668061
"British Empire"	0.0668006
CNPC	0.066659
"Caribbean Community"	0.0665137
"Selection Committee"	0.0663899
"customs union"	0.0661735
guild	0.0658196
"Common Market for Eastern and Southern Africa"	0.0657353
"steering committee"	0.0656908
CBI	0.0656815
"legislative council"	0.0655649
SPF	0.0655565
CGI	0.0655527
G@	0.0649973
"European Community"	0.0649858
"Gulf Cooperation Council"	0.0646487
"International Society"	0.0644617
"Rainbow/PUSH Coalition"	0.0643796
"interim committee"	0.0641686
"China Democracy Party"	0.0638358
"Palestinian Council"	0.0635647
"Kosovo Verification Mission"	0.0635402
"Southern African Development Community"	0.0634666
"South Pacific Forum"	0.0634311
CNOOC	0.0629722
EC	0.0622467
Baltic	0.0622175
MCC	0.0621673
EMU	0.0619099
"Human Rights Commission"	0.0618565
"Association of Flight Attendants"	0.0617235
"United Church of Christ"	0.0617037
"core group"	0.0610676
"Economic and Monetary Union"	0.0609218
CSC	0.0606645
"Association of Southeast Asian Nations"	0.060604
Presidium	0.0604597
"District Council"	0.0603807
"Bosnian Serb Republic"	0.0602709
ILO	0.0602486
"American Psychological Association"	0.0601097
"Commonwealth of Independent States"	0.05996
UMNO	0.0598349
"Church of Jesus Christ of Latter-day Saints"	0.0597733
"Air Lanka"	0.059753
"New Korea Party"	0.059625
"National Gambling Impact Study Commission"	0.059586
"Fallon McElligott"	0.0595676
"Sea Launch"	0.0593646
Isthmus	0.0592019
GATT	0.0591049
"U.S. Information Agency"	0.0590407
"Organization of Petroleum Exporting Countries"	0.0586271
"African Economic Community"	0.0586094
"International Red Cross"	0.0585712
"General Committee"	0.0583347
"other nine"	0.0582137
"other six"	0.0581693
"legal profession"	0.0581287
CMA	0.0577926
"Council of Ministers"	0.0576275
"trading post"	0.0574807
non-European	0.0568705
"Federal Assembly"	0.0567954
"religious order"	0.0566304
INTERFET	0.0566096
"Western European Union"	0.0565886
UNP	0.0562048
"Federal Open Market Committee"	0.0560566
Livia	0.0559432
"Mormon Church"	0.0559299
RUC	0.0559102
MSF	0.0559101
"U.N. Mission"	0.0558603
"work group"	0.0558585
ECW	0.0557828
"Yugoslav Federation"	0.0557559
AFTA	0.0556965
"Central American country"	0.0555401
Dems	0.0554326
"Iraqi National Congress"	0.0549433
"South Asian Association for Regional Cooperation"	0.0549283
SDMI	0.0549242
"Wine Institute"	0.0549017
PTA	0.0548757
"Urban League"	0.0548664
AmCham	0.0548107
"European Monetary Union"	0.0547963
"military commission"	0.0546612
"Council of State"	0.0545812
"stock company"	0.0545129
"machinists union"	0.0543842
WCC	0.0543575
"Air Line Pilots Association"	0.0542503
"other eight"	0.0542271
"United Front"	0.0541844
"Zhejiang University"	0.0540943
"European Bank for Reconstruction"	0.0540216
WIPO	0.0539819
"United Auto Workers"	0.0539433
"U.S. Golf Association"	0.0539063
"Operation Rescue"	0.0538951
"European Tour"	0.0537918
Lakas	0.0536853
"National Council of La Raza"	0.053639
nunnery	0.0536061
"National Council"	0.0535822
"search committee"	0.05354
"secret society"	0.0534748
"Local @@"	0.0533096
"Aum Shinrikyo"	0.0529884
"National League for Democracy"	0.0529487
sub-commission	0.0528913
"Colorado Party"	0.0528215
"Zapatista National Liberation Army"	0.0526769
"Other @@"	0.0525873
UNFPA	0.0525666
))
(Anderlecht (desc 3543.47) (sims
"Xavier Malisse"	0.21847
Besiktas	0.215012
"Kim Clijsters"	0.211818
"Sabine Appelmans"	0.204468
Benfica	0.200908
"Filip Dewulf"	0.199391
"Els Callens"	0.188801
"Olympique Marseille"	0.186743
Brondby	0.185595
Independiente	0.183936
"Borussia Dortmund"	0.181277
"Celta Vigo"	0.176035
"Dominique Van Roost"	0.17391
"PSV Eindhoven"	0.172018
Fenerbahce	0.167949
"Velez Sarsfield"	0.165265
"Deportivo Coruna"	0.162621
"Schalke @@"	0.161561
"Johan Museeuw"	0.157006
Necaxa	0.153105
Torino	0.152313
Panathinaikos	0.1519
"Atletico Madrid"	0.151438
Schalke	0.15084
"Jubilo Iwata"	0.150287
"Tom Steels"	0.150092
Penarol	0.149678
Bastia	0.149604
Espanyol	0.147162
Betis	0.146584
Heerenveen	0.145453
Fiorentina	0.145422
"Partizan Belgrade"	0.145197
"Slavia Prague"	0.144999
"Glasgow Rangers"	0.144992
"Albert Portas"	0.144852
"Newcastle United"	0.144595
"Ajax Amsterdam"	0.144198
Feyenoord	0.144154
"VfB Stuttgart"	0.144131
"Joannette Kruger"	0.144008
Auxerre	0.143762
"Dynamo Kiev"	0.143207
Everton	0.140654
Kaiserslautern	0.139698
"Tatiana Panova"	0.139165
"Real Betis"	0.139137
"Rainer Schuttler"	0.139132
"Colo Colo"	0.138013
"Coventry City"	0.137891
Udinese	0.13764
"Boca Juniors"	0.13749
Olimpia	0.135577
"Werder Bremen"	0.135448
"VfL Wolfsburg"	0.134313
Napoli	0.13377
"Borussia Moenchengladbach"	0.133387
Sampdoria	0.132164
"Nathalie Dechy"	0.131474
"Bayern Munich"	0.13106
Palmeiras	0.130989
"Andreas Vinciguerra"	0.130893
"Sturm Graz"	0.130816
"Galo Blanco"	0.130798
Juventus	0.130755
Tenerife	0.13071
Ajax	0.1303
"Franco Squillari"	0.129333
"Adrian Voinea"	0.129172
"Rita Grande"	0.128669
"Real Sociedad"	0.128189
"Christian Ruud"	0.127861
Nacional	0.127687
"Spartak Moscow"	0.127558
Valencia	0.127472
Galatasaray	0.126816
Flamengo	0.126692
"Sarah Pitkowski"	0.12652
"AEK Athens"	0.126368
"Arnaud Di Pasquale"	0.126014
"River Plate"	0.125357
"Arnaud Boetsch"	0.125133
Valladolid	0.124548
"Silvia Farina"	0.124061
"Natasha Zvereva"	0.123799
"Hernan Gumy"	0.123694
Leverkusen	0.123457
"Athletic Bilbao"	0.123053
Gremio	0.122879
"Gianluca Pozzi"	0.12268
"Inter Milan"	0.121655
"Arnaud Clement"	0.121549
"Amy Frazier"	0.121261
"Karim Alami"	0.120883
Watford	0.120846
"Carlos Costa"	0.120741
"Richard Fromberg"	0.120593
Liege	0.120366
"Kenneth Carlsen"	0.119887
"Florencia Labat"	0.119458
"Paola Suarez"	0.119382
Liverpool	0.119236
Zamalek	0.118992
"Naoko Sawamatsu"	0.118648
"Renzo Furlan"	0.118517
Metz	0.118484
Salernitana	0.118468
"Catalina Cristea"	0.118427
"Nicole Pratt"	0.11839
"Tara Snyder"	0.118088
"Barbara Paulus"	0.11772
Venezia	0.117685
"Sargis Sargsian"	0.117629
"Jerome Golmard"	0.117504
"Nicolas Escude"	0.11745
Parma	0.117193
"Mariano Zabaleta"	0.117094
"Elena Likhovtseva"	0.116862
"Davide Sanguinetti"	0.116778
"Andrei Pavel"	0.116583
Freiburg	0.11637
"Tottenham Hotspur"	0.116337
"Vincent Spadea"	0.11631
"Andrew Ilie"	0.116278
"Magui Serna"	0.116131
corinthian	0.115614
"Manchester United"	0.115532
"Younes El Aynaoui"	0.115314
"Anne Kremer"	0.115126
"Magdalena Maleeva"	0.114982
Cruzeiro	0.114388
"Barbara Schwartz"	0.114353
"Croatia Zagreb"	0.114118
Shenhua	0.114054
"Roger Federer"	0.113887
Atalanta	0.113827
Middlesbrough	0.11368
"San Lorenzo"	0.113373
Olympiakos	0.112895
Piacenza	0.112486
"Albert Costa"	0.112461
"Alexandra Fusai"	0.111663
Internazionale	0.111506
"Leeds United"	0.111342
"Fabrice Santoro"	0.110743
Rosenborg	0.110663
"Javier Sanchez"	0.110332
"Francisco Clavet"	0.109868
Obilic	0.109543
"Red Star"	0.109538
"Olympiakos Piraeus"	0.109353
"Neville Godwin"	0.109242
"Bayer Leverkusen"	0.109126
Sevilla	0.108741
"Andrea Gaudenzi"	0.108738
"Judith Wiesner"	0.108549
"Leicester City"	0.108548
Cagliari	0.108418
Zaragoza	0.108268
Charlton	0.108212
Newcastle	0.108129
"Nottingham Forest"	0.107944
Atletico	0.107743
"Real Madrid"	0.107537
Spartak	0.107238
"Sebastien Grosjean"	0.106592
"Ramon Delgado"	0.10601
"Mariano Puerta"	0.105933
Leeds	0.105824
"Asa Carlsson"	0.105548
Sunderland	0.104877
Tottenham	0.104869
"Olga Barabanschikova"	0.10458
"Bradford City"	0.104496
"Alberto Costa"	0.104492
"Sebastien Lareau"	0.104409
Alaves	0.104393
"Barbara Rittner"	0.104376
"Daniel Nestor"	0.104354
Barcelona	0.104267
"Jonathan Stark"	0.10418
Porto	0.10416
"Mikael Tillstrom"	0.103942
"Miriam Oremans"	0.10393
Estudiantes	0.103883
Lecce	0.103715
"Sjeng Schalken"	0.103243
"Michael Tebbutt"	0.103194
Habsudova	0.103042
"Kinder Bologna"	0.102877
"Guillaume Raoux"	0.102873
"Marcelo Filippini"	0.102763
"Richey Reneberg"	0.102619
"Dalian Wanda"	0.102482
Perugia	0.1024
Raja	0.102243
"Wayne Black"	0.102122
"Scott Draper"	0.101421
"Guy Forget"	0.101213
"Yayuk Basuki"	0.100703
"Ruxandra Dragomir"	0.100236
"Leander Paes"	0.100167
"Alberto Berasategui"	0.100043
))
(Andersen (desc 6401.82) (sims
Vinatieri	0.151511
Elam	0.147755
"Morten Andersen"	0.135462
"Adam Vinatieri"	0.125478
Jacke	0.0883381
Grunwald	0.087625
Janikowski	0.0856392
"John Hall"	0.0820837
Zuckerman	0.081077
Weil	0.0809417
KPMG	0.0808345
Conway	0.0803075
"Rich Brooks"	0.0792607
Copeland	0.0785967
Gullikson	0.0784451
Mckee	0.078316
Olson	0.077324
Katz	0.0764405
Carney	0.0763311
Rosenthal	0.0759953
Hardy	0.075771
Friedman	0.0751357
Piniella	0.0743299
Arron	0.0739236
Mortimer	0.0733529
"Sebastian Janikowski"	0.0731931
Davidson	0.0730701
Cline	0.0728757
Rutherford	0.0727736
Burke	0.0723535
Griffith	0.0720263
Shapiro	0.0714306
mare	0.0712389
Silverstein	0.0711608
Finkel	0.0710922
Okada	0.0709464
Richey	0.0708857
Kaye	0.0700778
O'Connell	0.0700669
Cummings	0.0691755
Cunningham	0.0689912
Weiner	0.0689764
Dowd	0.0688272
Lowry	0.0685228
Bronson	0.0682811
Meissner	0.0675514
"Arthur Andersen"	0.0673786
Greer	0.0671409
Rubenstein	0.0671251
Ferguson	0.067114
Wolff	0.0669289
Anderson	0.0667811
Hickman	0.0665815
Larson	0.0664917
Midler	0.0661348
Levin	0.065997
Jaffe	0.0659623
Dixon	0.0659465
Woodard	0.065699
Farber	0.065594
Patten	0.065574
Sims	0.0653524
Brenner	0.065331
"Jason Elam"	0.0652931
Dion	0.0652668
"David Remnick"	0.0651943
Evans	0.0651739
Roberts	0.0651438
Mahoney	0.0650991
Mullen	0.0648567
Ellis	0.0647176
Carey	0.0645089
Storin	0.0639452
Hoffman	0.0638305
Cooley	0.0635744
Pearson	0.0629964
Barrett	0.0627372
Puzo	0.0627223
Brister	0.0625511
Peterson	0.0625095
Atler	0.0624296
Mcbride	0.0622066
Baum	0.0620706
Holmes	0.0620524
Simons	0.0619723
Hanson	0.0617323
Weisman	0.0616702
Kirkpatrick	0.061569
Tuggle	0.0613837
Merritt	0.0613492
Tobin	0.0613316
Fleming	0.0610312
Pollack	0.0610253
Sobel	0.0609686
Haynes	0.0608623
Hecht	0.0608597
McGrath	0.0608069
Murray	0.0607161
Sheedy	0.0607111
Duffy	0.0606228
Walsh	0.0604526
Barron	0.0604363
Schwartz	0.0603365
Orton	0.0602534
singleton	0.0602474
Akers	0.0601113
Kramer	0.0600571
"Ernst &AMP; Young"	0.0598624
Streisand	0.0597912
Patterson	0.0597177
McDaniel	0.0596944
Jacobs	0.0595776
Fagan	0.0595186
Mills	0.0594838
Holtz	0.0594108
Polian	0.0592278
Andreychuk	0.0591783
Flores	0.0591427
Wilkins	0.0591091
Feng	0.0590152
Daniels	0.0589204
Fiorina	0.0589004
Mann	0.0588664
Sampson	0.0588128
Goldman	0.0586452
Ingalls	0.0585941
Levine	0.0585493
Saunders	0.0585228
"Cable &AMP; Wireless"	0.0584052
Berg	0.0583422
Byrne	0.0583066
Loeb	0.0581691
Snyder	0.05811
Shriver	0.0580763
Appleby	0.0580058
Macdonald	0.0579354
Berman	0.0579094
Meyers	0.0578845
Duchovny	0.0576422
Waxman	0.0576206
Morrison	0.0575361
Hendricks	0.0574537
Atwood	0.0574086
Kaplan	0.0573699
Cleary	0.0573041
Sheehy	0.0572382
drake	0.0571778
Schafer	0.0571398
MIA	0.0571169
Bartley	0.0570773
Pierson	0.0570347
Boone	0.0570072
Gardner	0.0568992
Hadley	0.0568933
Kingsley	0.0568137
Davies	0.0567587
Higgins	0.0567393
Wilson	0.0566059
Harvey	0.0565802
Hornacek	0.0565584
Sullivan	0.0565358
Salinger	0.0565154
Clancy	0.0565018
Rendell	0.0564186
Heppner	0.0563512
Quinn	0.0562219
Crowe	0.0560755
beamer	0.0560357
Richards	0.0559777
Sanchez	0.0559647
Plummer	0.0558537
Gallagher	0.0558077
Monahan	0.0557068
burrows	0.0556728
Brazile	0.0556534
Clooney	0.0555463
Vogel	0.0555124
Chandler	0.0555093
Bernstein	0.0554979
McPherson	0.0553489
Hahn	0.0553334
Matthaeus	0.055319
Stein	0.0552822
Edson	0.0552157
Plante	0.0552001
Mobley	0.0551765
Powell	0.055105
Jenkins	0.0550641
Bradford	0.0550313
Morton	0.0549826
Freedman	0.0549806
Woolley	0.0549051
Arnold	0.0548256
Cole	0.0547879
Zidane	0.0547563
Cooper	0.0547216
Wolfe	0.0544853
fuller	0.0544511
Koop	0.0543302
Rothschild	0.0542741
))
("Andersen Consulting" (desc 3035.73) (sims
"Arthur Andersen"	0.203127
"McKinsey &AMP; Co."	0.196241
"Ernst &AMP; Young"	0.180664
PricewaterhouseCoopers	0.168697
KPMG	0.15568
"Deloitte &AMP; Touche"	0.147604
"Price Waterhouse"	0.129848
"Goldman, Sachs &AMP; Co."	0.123131
"Yankee Group"	0.118687
"ABN AMRO"	0.11172
"Merrill Lynch &AMP; Co."	0.110158
"Goldman Sachs &AMP; Co."	0.110025
"Gartner Group"	0.109591
"Gomez Advisors"	0.109081
"CS First Boston"	0.108365
"Hambrecht &AMP; Quist"	0.103624
"Goldman Sachs Group"	0.103516
"Forrester Research"	0.101297
"Robertson Stephens"	0.0990112
"Credit Suisse First Boston"	0.0986945
"BancBoston Robertson Stephens"	0.0969907
"Merrill Lynch"	0.0966122
"NationsBanc Montgomery Securities"	0.0963744
"Paine Webber"	0.09468
"Sony Corp."	0.0911686
"Wells Fargo"	0.0911153
"J.P. Morgan"	0.0905719
"Lehman Brothers"	0.0899865
"Jupiter Communications"	0.0885513
"Morgan Stanley"	0.087117
"Halliburton Co."	0.087014
"Oracle Corp."	0.0861012
"SBC Communications Inc."	0.083861
"UBS AG"	0.0836502
"Salomon Brothers"	0.0834372
"consulting firm"	0.0831824
"Times Co."	0.0829788
"Salomon Smith Barney"	0.0821681
"Federal Reserve Bank"	0.0818426
"Warburg Dillon Read"	0.0812563
"Lotus Development Corp."	0.0810259
"Hongkong Telecom"	0.0805544
RealNetworks	0.0805458
"Mattel Inc."	0.0802889
"Motorola Inc."	0.0795079
"Kaiser Permanente"	0.0789293
"advertising agency"	0.0788515
"accounting firm"	0.0787194
Marketspan	0.0782742
"Morgan Stanley Dean Witter"	0.0782151
"Compaq Computer"	0.0777505
"Goldman Sachs"	0.0774624
"GE Capital"	0.0769176
"Sun Microsystems"	0.0767026
WPP	0.0761452
BNFL	0.0758805
Intuit	0.075742
China.com	0.0756306
"Putnam Investments"	0.0755336
"Sprint Corp."	0.0747765
"International Data Corp."	0.074685
"Vanguard Group"	0.0744833
PaineWebber	0.0743673
"Bear Stearns"	0.0741404
"Fidelity Investments"	0.0737651
"KPMG Peat Marwick"	0.0737601
"Federated Department Stores"	0.0733907
Corp.	0.0733579
Sunbeam	0.0728774
"Home Depot"	0.0728064
"Compaq Computer Corp."	0.0728048
"Sun Microsystems Inc."	0.0725822
CMGI	0.072436
"Cendant Corp."	0.0723298
"J.P. Morgan &AMP; Co."	0.0711866
Goldman	0.0711648
"General Electric"	0.0711607
"Gillette Co."	0.0711262
"Cisco Systems Inc."	0.0706982
"Deutsche Bank AG"	0.0706455
Omnicom	0.0705677
"Prudential Securities"	0.0705338
Publicis	0.0703408
"ING Barings"	0.0701617
IBM	0.0698776
Viacom	0.0698363
"CMGI Inc."	0.0696245
Citigroup	0.0695773
"Lucent Technologies"	0.069438
"Symantec Corp."	0.0690722
Dataquest	0.0690187
"Bank of America"	0.0688327
"Hughes Electronics Corp."	0.0688302
"Network Associates"	0.0687784
"investment firm"	0.0687764
"Donaldson, Lufkin &AMP; Jenrette"	0.0686789
DRI	0.0685431
Novartis	0.06824
"Hughes Electronics"	0.0681429
EMC	0.0681367
Gartner	0.067957
Novell	0.0679159
"Citigroup Inc."	0.0676793
Unilever	0.0675175
"Deutsche Bank"	0.0672724
"Staples Inc."	0.0670538
IDC	0.0669788
Symantec	0.0668316
"News Corp."	0.066528
Mattel	0.0663677
"Jewish Museum"	0.0663343
"Cadbury Schweppes"	0.0662024
"Ford Motor Company"	0.0660605
Starbucks	0.0656857
HKMA	0.0656232
"Gap Inc."	0.0655859
Compaq	0.0655825
All-Tech	0.0654131
"Center for Democracy"	0.065407
Monsanto	0.0652464
"BP Amoco"	0.0650984
"Morgan Stanley Dean Witter &AMP; Co."	0.065034
GANNETT	0.0647728
CNET	0.0645125
"Barnes &AMP; Noble"	0.0644091
Amgen	0.0644082
HSBC	0.0644045
"Time Warner"	0.0643533
Ericsson	0.0642727
"Walt Disney Co."	0.0640669
"Levi Strauss &AMP; Co."	0.0639804
"Cisco Systems"	0.0639781
Hewlett-Packard	0.0638639
Maximus	0.0636826
Nortel	0.063653
"RAND Corp."	0.063308
"Department of Education"	0.0631979
"Dell Computer Corp."	0.0629006
NTL	0.06285
"Dow Jones &AMP; Co."	0.0627836
"Field Poll"	0.0627688
"Apple Computer"	0.0626907
EarthLink	0.0626555
Pepsico	0.0625284
CAC	0.0624951
"Fannie Mae"	0.0623909
"Legion of Honor"	0.0622217
"Fallon McElligott"	0.0620493
"JP Morgan"	0.0620292
BankAmerica	0.0617365
Agilent	0.0617244
"Intel Corp."	0.0617151
UAL	0.0615566
"Credit Suisse"	0.0615391
"Knight Ridder"	0.0614838
"Dresdner Bank"	0.0614703
Healtheon	0.0614167
"English Football Association"	0.0614007
Aetna	0.0613707
Motorola	0.0612344
Softbank	0.0610395
"Chevron Corp."	0.0610092
Ge	0.0609586
"National Semiconductor"	0.0607342
"Reed Elsevier"	0.0604383
Genzyme	0.0604125
"Rite Aid"	0.060396
"Wal-Mart Stores Inc."	0.0603788
LIFFE	0.0600798
"Morningstar Inc."	0.0599938
"National Grid"	0.0598886
SGI	0.059747
"Electronic Arts"	0.0596258
"Delphi Automotive Systems"	0.0596114
"Hong Kong Telecom"	0.0595587
Citibank	0.0595451
"Ford Motor"	0.0591203
"Thermo Electron"	0.0590926
Bertelsmann	0.0590733
Aventis	0.0589514
"Dell Computer"	0.0589072
SmithKline	0.0588687
"American Express"	0.0586872
"Koch Industries"	0.0586659
"Phelps Dodge"	0.0584715
"Pepsico Inc."	0.0584589
"MCI WorldCom"	0.0583076
"Long-Term Capital"	0.0583033
"Ameritech Corp."	0.0581952
MetLife	0.0580909
Xerox	0.0580869
Alcatel	0.0580753
"American International Group"	0.0580554
BellSouth	0.0579694
Medtronic	0.0579659
Litton	0.0579639
Cendant	0.0579196
"Circuit Court"	0.0578975
Morningstar	0.0578252
"MindSpring Enterprises"	0.0577501
))
(Anderson (desc 47281.2) (sims
smith	0.137768
Johnson	0.136984
Williams	0.129216
Vaughn	0.120379
Jones	0.116009
Rodriguez	0.114381
"Jamal Anderson"	0.112814
Perez	0.111946
Martinez	0.109971
Davis	0.109807
Taylor	0.109293
Finley	0.108841
Robinson	0.108193
Payton	0.107198
martin	0.105463
Thomas	0.105095
Gonzalez	0.104642
walker	0.103866
Clark	0.103566
Miller	0.10334
Edwards	0.100919
Griffey	0.100902
Erstad	0.0995059
Piazza	0.0994313
Sanders	0.0989252
Faulk	0.0987722
Wilson	0.0984236
Rogers	0.0980757
Allen	0.0979928
Carter	0.0968897
Hamilton	0.0966349
Brown	0.0962141
Glaus	0.095948
Bryant	0.0958308
Jackson	0.0955556
Iverson	0.0949478
Ripken	0.0947725
Wright	0.0936944
Knoblauch	0.0927406
Ewing	0.0919152
Barkley	0.0919092
Hernandez	0.0915895
Stewart	0.091551
Malone	0.0913202
collins	0.0911307
Jeter	0.0906401
Garciaparra	0.0906131
Lewis	0.0899859
Mitchell	0.0894149
Sosa	0.0891929
Ramirez	0.0890301
duncan	0.0883933
Lopez	0.0880257
Henderson	0.0878821
Karros	0.0873715
Palmeiro	0.0873715
Everett	0.0865835
Moore	0.0864851
Scott	0.0864041
Francis	0.0863938
Phillips	0.0861815
Thompson	0.0860119
"Darin Erstad"	0.0855955
Pippen	0.0853098
Greene	0.0852588
Pierce	0.0847798
"Bernie Williams"	0.0845186
"Garret Anderson"	0.0845089
Sprewell	0.0844888
Caminiti	0.0839338
Harris	0.0838677
Gwynn	0.0837307
Grudzielanek	0.083586
MARBURY	0.0833992
Evans	0.0832556
Watson	0.0828093
McGwire	0.0825135
Alou	0.0824692
Abbott	0.0823392
Bagwell	0.0820338
O'Neill	0.0819935
Parker	0.0816654
Cunningham	0.0816628
Clemens	0.0811818
Armstrong	0.080281
Richardson	0.0801338
Shaw	0.0796813
Bennett	0.0796556
Kelly	0.0796299
"Curtis Martin"	0.0796167
Odom	0.0794381
Cooper	0.079376
Brooks	0.0790853
Mills	0.079079
he	0.0789557
fisher	0.0788322
Olson	0.0787073
Garcia	0.0785925
Peterson	0.0781044
Lee	0.0779259
Crawford	0.0779141
Surhoff	0.0775104
Chandler	0.0774375
Hardaway	0.0774146
Galarraga	0.0771325
Roberts	0.0769086
Testaverde	0.0767783
turner	0.0767411
"Tim Salmon"	0.0766493
O'Neal	0.0764203
Blake	0.0764129
Torre	0.0763377
"Mo Vaughn"	0.0763252
Rivera	0.076248
Reed	0.0762354
Murray	0.0761227
Valdes	0.0760272
Valentin	0.0760215
Nash	0.0760139
Oliver	0.0759143
"Nomar Garciaparra"	0.0758916
murphy	0.0758155
Hundley	0.075634
Flutie	0.0755133
Mondesi	0.0754684
Baker	0.0753068
Mobley	0.0752547
Larkin	0.0752296
Ellis	0.0750918
Gooden	0.074893
Holmes	0.0748856
Edmonds	0.0747653
Elway	0.0746662
Greer	0.0742898
McCarty	0.0742594
Segui	0.0742256
Cohen	0.0742198
Palmer	0.074214
Lindros	0.0741288
young	0.074079
Sharpe	0.0740425
Olerud	0.0740306
Hoffman	0.0740049
Steele	0.0738747
Bledsoe	0.0737008
Webber	0.0733816
Graham	0.0733488
Ventura	0.073255
Helton	0.0731345
Elliott	0.0730789
Welch	0.0730494
"Troy Glaus"	0.0730472
Olowokandi	0.0730309
Wallace	0.0729
Beltre	0.0728251
Irvin	0.0727298
"Chipper Jones"	0.0726976
Aikman	0.0726856
Dickerson	0.0726336
Nelson	0.0725656
Sheffield	0.0724573
Alomar	0.0718201
Kidd	0.0717592
DiSarcina	0.071698
Hampton	0.0716599
Dreifort	0.0715761
"Andruw Jones"	0.0714824
Griffith	0.0712756
"Mike Piazza"	0.0712706
Russell	0.0712578
Gibson	0.0711363
"Emmitt Smith"	0.0710724
Morris	0.0709971
Howard	0.0709276
Underwood	0.0708774
"Brian Jordan"	0.0708769
Williamson	0.0706982
Alfonzo	0.0706359
Glover	0.0706248
she	0.0704843
"Chuck Knoblauch"	0.0703462
Hershiser	0.0703419
Smits	0.0702935
Gagne	0.0702044
Daubach	0.0698845
Zeile	0.0698274
ALLISON	0.0697138
Gretzky	0.0696893
DiMaggio	0.069655
Bates	0.0696465
Bonilla	0.0695378
Ordonez	0.0693094
Dixon	0.0692247
Olajuwon	0.0691906
"Jim Edmonds"	0.069158
Coleman	0.0690115
Fisk	0.0688642
Weiss	0.0688216
Carroll	0.0688202
Riley	0.0687545
))
(Andes (desc 5898.77) (sims
"Sierra Nevada"	0.158248
Himalayas	0.134859
"Rocky Mountains"	0.130082
"Mount Hermon"	0.121786
Pyrenees	0.116604
sierra	0.108156
Alps	0.102714
"mountain range"	0.0982001
Appalachians	0.094946
cascade	0.092291
"French Alps"	0.0868496
Siberia	0.085154
Luzon	0.0836203
"Blue Ridge"	0.0817603
Appalachian	0.0751976
Adirondacks	0.0722477
"North Island"	0.0714894
"San Joaquin Valley"	0.070126
Rockies	0.0680591
highland	0.0678156
"Hollywood Hills"	0.0652746
Caucasus	0.0640873
"Qaidam Basin"	0.0637019
"Great Plains"	0.0627585
Drenica	0.0614957
Qomolangma	0.0611278
Appalachia	0.0605174
"Black Hills"	0.0587125
volcano	0.0578332
Patagonia	0.0576293
Atlantic	0.0564634
"rain forest"	0.0563162
jungle	0.0551809
Kilimanjaro	0.0546698
"Taklimakan Desert"	0.0544799
"Atlantic Ocean"	0.0539868
"Gulf of Mexico"	0.0530059
Adirondack	0.0524841
"South America"	0.0515053
foothill	0.0512931
Arctic	0.0511847
"Mojave Desert"	0.0510697
Condor	0.0505892
"Central Valley"	0.0498379
steppe	0.0492988
Antarctica	0.0492373
"Indian Ocean"	0.0488032
Kyushu	0.0485138
"Pacific Ocean"	0.0480549
"North Georgia"	0.0477923
"Rift Valley Province"	0.0476799
frontlines	0.0475354
"Southern Ocean"	0.04728
"about @@@ miles"	0.047057
"Swiss Alps"	0.0469993
"western hemisphere"	0.0464707
Puebla	0.0453224
foothills	0.04466
"about @,@@@ kilometers"	0.0443253
Caguan	0.0442492
Carmel	0.0442275
"Rocky Mountain"	0.0441308
"Bohai Sea"	0.0440796
"about @@@ kilometers"	0.0440055
"Hill Country"	0.0439286
"Mississippi Valley"	0.0438497
Ozarks	0.0432366
Sichuan	0.0431715
Anatolia	0.0430396
"Florida Straits"	0.0427744
lowland	0.0426617
"Black Sea"	0.0424115
"North Atlantic"	0.0421561
"Shan State"	0.0420173
"Caribbean Sea"	0.0419698
Sumatra	0.0419586
Bohemia	0.0418816
"Central Asia"	0.041706
Guadalajara	0.041374
Alsace	0.0413387
plateau	0.041193
Mediterranean	0.0408928
"Qinghai-Tibet Plateau"	0.0407155
"Pacific Northwest"	0.0406548
Chiapas	0.0406309
"Space Needle"	0.040581
Cali	0.0402609
))
("Andhra Pradesh" (desc 5260.18) (sims
"Uttar Pradesh"	0.3885
"West Bengal"	0.365169
Maharashtra	0.363584
"Tamil Nadu"	0.356144
Haryana	0.352263
"Madhya Pradesh"	0.33617
Orissa	0.333186
Gujarat	0.322761
Rajasthan	0.30595
Karnataka	0.299925
Kerala	0.296435
Bihar	0.295755
Assam	0.266571
"Himachal Pradesh"	0.193751
Punjab	0.191149
Delhi	0.130685
Pradesh	0.123537
Hesse	0.106422
"Quintana Roo"	0.102385
"Lower Saxony"	0.0958678
"North West Frontier Province"	0.0889638
Zacatecas	0.0885728
Jalisco	0.0874377
Sarawak	0.08458
Brandenburg	0.0845424
Oaxaca	0.0824917
Sinaloa	0.0817955
Tamaulipas	0.081756
"Minas Gerais"	0.0814538
"New South Wales"	0.0809673
Saxony	0.0804804
Michoacan	0.0758559
Batticaloa	0.0741755
Sindh	0.073801
"Viswanathan Anand"	0.0718115
Jammu	0.0707556
Antioquia	0.0702559
Guanajuato	0.0690955
Kedah	0.0685633
Queensland	0.0680764
Puebla	0.0668297
"Zhejiang Province"	0.0668119
Veracruz	0.0667863
Bavaria	0.0660726
Kashmir	0.0660108
governorate	0.0650839
Guerrero	0.0644327
Kaduna	0.0643505
"Rift Valley Province"	0.0635853
prefecture	0.0635055
"Lagos State"	0.062454
Johor	0.0619362
"Baja California"	0.0614645
Pahang	0.0612604
Sabah	0.0599879
"New Delhi"	0.0593971
Tabasco	0.0588643
Chiapas	0.0587881
"Jilin Province"	0.0580258
Kelantan	0.0578668
"Anhui Province"	0.0577223
"Hunan Province"	0.0572475
Tapachula	0.0570386
Warri	0.0568892
Selangor	0.0568459
Putumayo	0.056422
Bahia	0.0561053
Kwazulu-Natal	0.0561029
"Northern Province"	0.0556479
Trincomalee	0.0556302
"Pulau Pinang"	0.0549713
"Fujian Province"	0.054821
Morelos	0.0547192
"Delta State"	0.0543564
"Guizhou Province"	0.0541827
"Guangxi Zhuang Autonomous Region"	0.053967
by-elections	0.0536779
Tasmania	0.0535664
Zhejiang	0.0533421
"Shandong Province"	0.0514012
Bengal	0.0507145
Bekaa	0.0506513
Durango	0.0504579
"Hainan Province"	0.050247
Hunan	0.0499354
"Irian Jaya"	0.0496771
Bahrain	0.0496441
Vojvodina	0.0490135
COLOMBO	0.0490036
Ambon	0.0489704
Mid-Atlantic	0.048412
"Congress Party"	0.0483061
MANAMA	0.0481849
Jiangxi	0.0480205
"Jiangsu Province"	0.0477386
"small hours"	0.0476297
Sonora	0.0476291
Perak	0.0472235
"Ningxia Hui Autonomous Region"	0.0471296
Honduras	0.0471113
Chennai	0.0469169
"Henan Province"	0.0460666
"East Java"	0.0459255
"Sichuan Province"	0.0458304
Tigray	0.0457555
Krasnoyarsk	0.0455382
Bengkulu	0.0453383
Bangalore	0.0452536
"Liaoning Province"	0.0452477
"Great Plains"	0.0451302
Yunnan	0.0451181
"Damascus Declaration"	0.0450281
Oman	0.0445097
Guayaquil	0.044461
Carolinas	0.0443343
Fujian	0.0440649
Kyrgyzstan	0.0439815
chihuahua	0.0439767
"Sao Paulo"	0.0434359
Windhoek	0.042719
Edo	0.0425254
"Western Australia"	0.0424345
"Leander Paes"	0.0424237
"Guangdong Province"	0.0423998
Enugu	0.0423769
"Mahesh Bhupathi"	0.0423061
Xinjiang	0.0421997
Siberia	0.0421249
Mullaitivu	0.0420243
"West Java"	0.0420203
"Shanxi Province"	0.041885
"Shan State"	0.0418199
"Eastern Province"	0.0416292
"Xinjiang Uygur Autonomous Region"	0.0415436
"United Front"	0.0414441
Dearborn	0.0413932
"Ho Chi Minh City"	0.0413322
Sichuan	0.0411788
Anhui	0.0411755
Vladikavkaz	0.0411525
Brittany	0.0411171
Baoding	0.0411001
Guizhou	0.0410623
"Jiangxi Province"	0.0409404
"United Arab Emirates"	0.0409125
"Metro Manila"	0.0408423
Belfast	0.0407752
"rate of inflation"	0.0407042
Tachilek	0.0406049
Xian	0.0404149
Basra	0.0403306
"Hubei Province"	0.0402901
subdistrict	0.0402055
Mindanao	0.0400586
))
("Andie MacDowell" (desc 1837.13) (sims
"Bill Paxton"	0.107434
"Jon Bon Jovi"	0.102245
"Catherine Keener"	0.0950519
"Joan Allen"	0.0935148
"Cybill Shepherd"	0.0890996
"Kim Basinger"	0.0854197
"Robert DeNiro"	0.0819707
"Richard Dreyfuss"	0.0802474
"Lisa Kudrow"	0.0765793
"Brian Dennehy"	0.0764036
"Nick Nolte"	0.0763004
"Rob Reiner"	0.0760047
"Christian Slater"	0.0758088
"Robert de Niro"	0.0748774
"Jessica Lange"	0.0748093
"Sylvester Stallone"	0.0734229
"Rob Lowe"	0.0714921
"Diane Keaton"	0.0705294
"Sidney Poitier"	0.0684759
"Dennis Quaid"	0.0683828
Tracey	0.0676956
"Sigourney Weaver"	0.0660984
"Azizah Ismail"	0.0659454
"Brooke Shields"	0.0649678
Phyllis	0.0638996
"Steve Martin"	0.0631321
"Vanessa Redgrave"	0.0620136
RuPaul	0.0588228
Rhonda	0.0587645
"Faye Dunaway"	0.0566199
alicia	0.0563192
"Mike Myers"	0.0558303
"Emily Watson"	0.0556001
"Don Cheadle"	0.0555418
"Jamie Foxx"	0.0548625
"Chloe Sevigny"	0.0545848
"Sharon Stone"	0.053741
"Jane Fonda"	0.0537302
"Drew Barrymore"	0.0532416
"Rene Russo"	0.0530394
"Goldie Hawn"	0.0529078
"Kate Moss"	0.0528499
"Burt Reynolds"	0.0520808
"Dennis Hopper"	0.0518229
Hadassah	0.0510792
"Jeff Bridges"	0.0509296
Yarmila	0.0508288
"Holly Hunter"	0.0503424
"Dustin Hoffman"	0.0493982
"Burt Lancaster"	0.0491488
Eileen	0.0488916
Patti	0.048686
Connie	0.0486268
"Spencer Tracy"	0.0485686
"Juliette Lewis"	0.0484879
"Gene Hackman"	0.0483598
"Richard Gere"	0.0480976
Marge	0.0478748
"Brad Pitt"	0.0475851
Melinda	0.0473353
Marlene	0.046946
"Harrison Ford"	0.0467916
"Keanu Reeves"	0.046654
Duane	0.0464355
"Samuel L. Jackson"	0.0462593
"Minnie Driver"	0.0454219
"Jessye Norman"	0.0452186
Irina	0.0451377
"Gwyneth Paltrow"	0.044899
"Kate Winslet"	0.0448539
"Heather Locklear"	0.044744
"Richard Pryor"	0.0447098
"Ellen Burstyn"	0.0445534
Cherie	0.0444875
"James Earl Jones"	0.0443453
"Alec Baldwin"	0.0441592
Deborah	0.0441457
"Jack Nicholson"	0.0436508
"Lauren Bacall"	0.0429646
Gillian	0.0428234
"Liam Neeson"	0.0426048
Josephine	0.0424191
"Gillian Anderson"	0.0415267
Cathy	0.0413622
ESP	0.0411228
Debra	0.0411134
"Danny DeVito"	0.0410199
Gail	0.0409667
Brenda	0.0409654
"Claire Danes"	0.0404482
))
(Andorra (desc 2712.87) (sims
Liechtenstein	0.199209
Iceland	0.162842
Lithuania	0.142021
"San Marino"	0.126387
Luxembourg	0.115238
Lecce	0.114248
Brondby	0.108862
"Coventry City"	0.107892
Armenia	0.105523
Rostock	0.105455
Latvia	0.10371
Slovenia	0.103594
Torino	0.101341
Monaco	0.100987
Slovakia	0.0999449
Salernitana	0.098902
Bastia	0.0970595
Finland	0.0962952
Raja	0.0957967
Bulgaria	0.0949173
Alaves	0.0947786
Piacenza	0.0947272
"Joannette Kruger"	0.0945274
"Paola Suarez"	0.0939964
Valladolid	0.0930419
"Athletic Bilbao"	0.0926542
"Nicole Pratt"	0.0926183
Malta	0.092167
Espanyol	0.091859
"Leicester City"	0.0918478
Portugal	0.0916795
Hungary	0.0904235
Rosenborg	0.0903735
Zamalek	0.0902826
Estonia	0.089664
"Olympique Marseille"	0.0881184
"Sargis Sargsian"	0.0873646
"Borussia Moenchengladbach"	0.0871073
Spartak	0.0869762
Tunisia	0.0869748
Cagliari	0.0864301
Tenerife	0.0858484
Udinese	0.085731
Belarus	0.0856769
Norway	0.0856582
"Real Sociedad"	0.0852263
Extremadura	0.0840555
"The Netherlands"	0.0836697
Shenhua	0.0834776
"Slavia Prague"	0.0831958
Freiburg	0.0820731
Atalanta	0.0819987
"Amy Frazier"	0.0814711
Paraguay	0.0813684
Nacional	0.0800743
Venezia	0.0800239
Independiente	0.079947
Celta	0.0798981
Sevilla	0.0793353
"Albert Portas"	0.0788589
Auxerre	0.0781218
Maribor	0.0777537
"Gianluca Pozzi"	0.0776813
Lindland	0.0776658
Daiei	0.0772976
Empoli	0.0772885
Penarol	0.0770272
Metz	0.0770021
Gremio	0.0763186
"Paris St Germain"	0.0763145
Moldova	0.0760569
"Galo Blanco"	0.0759358
Raoux	0.0755629
"Anne Kremer"	0.0755005
Azerbaijan	0.0749331
"Javier Sanchez"	0.0749061
Denmark	0.0744075
"Albert Costa"	0.0743126
Hainiu	0.0742783
Perugia	0.0736976
Watford	0.0735274
"Wayne Black"	0.0733319
PSV	0.0728847
Atletico	0.0728467
"Velez Sarsfield"	0.0727841
Uruguay	0.0727651
Besiktas	0.07251
Fenerbahce	0.0725074
Hongyuan	0.0724785
Anderlecht	0.072325
"Barbara Schwartz"	0.0723218
"American Chanda Rubin"	0.0718859
Villareal	0.0713985
"Lisa Raymond"	0.0711972
"Trinidad and Tobago"	0.0711862
Zaragoza	0.0707158
Schalke	0.0705374
"Scott Draper"	0.0704873
Rennes	0.0702385
"Newcastle United"	0.0702035
Deportivo	0.0699467
Schett	0.0696297
Cameroon	0.0695703
Graz	0.0691194
Wilander	0.0689606
"Barbara Paulus"	0.0687518
"Partizan Belgrade"	0.068695
Flamengo	0.0685339
"Sebastien Grosjean"	0.0684848
Berasategui	0.0683731
Dundee	0.0683604
Kashima	0.0683379
Mauritius	0.0681509
"Jerome Golmard"	0.0680534
"Rita Grande"	0.068047
Betis	0.0680025
"Daniel Nestor"	0.067859
"VfB Stuttgart"	0.0678232
"Cara Black"	0.0677684
Vicenza	0.0674939
"Leander Paes"	0.0674637
Kaiserslautern	0.0674459
"Nottingham Forest"	0.0670865
"Miriam Oremans"	0.0669543
"Franco Squillari"	0.0668579
"Roger Federer"	0.0666595
"San Lorenzo"	0.0666568
"Kenneth Carlsen"	0.0664475
Bari	0.0664401
Wales	0.0663041
"Leeds United"	0.0660077
"Brett Steven"	0.0658828
"Jiri Novak"	0.0655336
Panathinaikos	0.0654096
"West Germany"	0.065185
Testud	0.0650987
"Catalina Cristea"	0.0648896
Oviedo	0.0648887
"Chinese Army"	0.0646454
"Arnaud Di Pasquale"	0.0645578
"Celta Vigo"	0.0644796
"Nathalie Dechy"	0.0643447
"Conchita Martinez"	0.0643369
"Schalke @@"	0.0641976
Larsson	0.0639596
Olympiakos	0.0639198
Mantilla	0.0639037
Palmeiras	0.06347
Obilic	0.0634496
"Rainer Schuttler"	0.0634233
"Netherlands Antilles"	0.0632349
"Bradford City"	0.0630255
"Dominique Van Roost"	0.0630191
Senegal	0.0629976
Mali	0.0629537
"Mikael Tillstrom"	0.0629125
"Kansas City Royals"	0.0628928
Dynamo	0.0627709
"Calgary Flames"	0.0627456
"Blackburn Rovers"	0.0627343
"Ramon Delgado"	0.0625771
"West Ham United"	0.0623726
Lareau	0.0623318
"Mariano Zabaleta"	0.062284
"Nicolas Escude"	0.0619536
"Marat Safin"	0.0617147
Pereira	0.0616995
"Hicham Arazi"	0.0616046
Habsudova	0.0614411
Benfica	0.0613717
"Arnaud Clement"	0.0612909
"Richard Fromberg"	0.0610924
"Florencia Labat"	0.060741
"Barbara Rittner"	0.0606454
"Phenix City"	0.060634
"Derby County"	0.0605193
"Elena Likhovtseva"	0.0604386
"MaliVai Washington"	0.0601306
"Tatiana Panova"	0.0598059
Edberg	0.0598048
Wolfsburg	0.0596531
"Sarah Pitkowski"	0.0595539
Santander	0.0593791
Tarango	0.0591026
"Werder Bremen"	0.0591013
Gustafsson	0.0590285
Jansher	0.0590198
Stoltenberg	0.0588835
"European nation"	0.0588131
Luxemburg	0.0587882
Dosedel	0.058565
"Karim Alami"	0.0584727
"Wayne Ferreira"	0.0584428
"Colo Colo"	0.058417
Everton	0.0583429
"Sandrine Testud"	0.0582951
"Ai Sugiyama"	0.0582069
"Vincent Spadea"	0.0582037
Schalken	0.0580214
Salamanca	0.0579027
))
(Andover (desc 5196.55) (sims
Waltham	0.138494
Sunnyvale	0.13374
Emeryville	0.125072
Braintree	0.121515
Framingham	0.115841
Woburn	0.114374
"South San Francisco"	0.112703
Groton	0.112321
Wellesley	0.111736
Cambridge	0.108207
Needham	0.102332
Medford	0.101099
Reston	0.0994636
Acton	0.0992869
Brockton	0.099221
Quincy	0.095093
Falmouth	0.0948689
Marlborough	0.0936685
Pittsfield	0.0929576
Lawrenceville	0.0929411
Burlington	0.0926742
"Fort Lee"	0.0921907
Princeton	0.091306
Bellevue	0.0902134
Hopkinton	0.0902103
Norcross	0.0901192
Alameda	0.0893431
"Mountain View"	0.0892329
Morristown	0.0883197
Cupertino	0.0872716
"Redwood City"	0.0844635
Burlingame	0.0831821
"El Segundo"	0.0826902
Lenox	0.081328
Holyoke	0.0809242
Chatham	0.0807961
Watertown	0.0807097
ATTLEBORO	0.0806463
Randolph	0.0805947
Bedford	0.0802365
"Walnut Creek"	0.0799313
Bridgewater	0.0793431
Somerville	0.0791242
Easton	0.0790383
Northampton	0.0780398
"Menlo Park"	0.0777641
Westfield	0.0767957
Englewood	0.0766594
Marietta	0.0759807
Lexington	0.0755832
"Palo Alto"	0.0754825
Amherst	0.07541
Stockbridge	0.0751072
Herndon	0.0747669
Hyannis	0.0747453
"Santa Clara"	0.0746941
"New Haven"	0.0739691
Newton	0.072538
Renton	0.0724022
Brookline	0.07237
"San Mateo"	0.0722923
Rockville	0.0721356
Maynard	0.0714202
Williamstown	0.0712317
"Silicon Alley"	0.0707517
Worcester	0.0703841
"Research Triangle Park"	0.0699352
Fremont	0.0696504
"Culver City"	0.0695818
Beverly	0.0692554
Sausalito	0.0692147
"New Bedford"	0.0688962
"Round Rock"	0.0688279
Norwood	0.0686754
"East Orange"	0.0685971
"Chapel Hill"	0.0685849
Bradenton	0.0684743
Tokaimura	0.0682925
"Long Island City"	0.068265
"Jersey City"	0.0677389
"Thousand Oaks"	0.0676504
Salem	0.0675609
Nashua	0.0672624
"Fall River"	0.0670816
Fairfield	0.0664307
Gloucester	0.0660636
midland	0.0660495
"White Plains"	0.0658429
Charlestown	0.0657842
Oxford	0.0654164
Deerfield	0.0653634
Plymouth	0.0648403
Berkeley	0.0643611
Alpharetta	0.0638746
Calabasas	0.0634227
Spokane	0.0632411
Lowell	0.0631319
Danbury	0.0628926
Scottsdale	0.0624734
Westport	0.0623298
Burbank	0.0617641
"West Orange"	0.061479
"Union City"	0.0613341
Wheaton	0.0612528
Winchester	0.0610318
Akron	0.0605304
"Woodland Hills"	0.0604972
Walpole	0.0600422
Provincetown	0.0599329
"Westlake Village"	0.0595952
Raleigh	0.0595594
"Delray Beach"	0.0595321
Richmond	0.0594508
Ipswich	0.0593856
Tempe	0.059188
"Woods Hole"	0.0590297
canton	0.0587797
Decatur	0.0586182
Stamford	0.0583635
Greenwich	0.0582625
Malden	0.0582021
"Silver Spring"	0.0580249
Greenfield	0.0578764
Wichita	0.0577947
Lenexa	0.057714
Americus	0.0575269
Rockport	0.0574054
Glendale	0.0571439
"Overland Park"	0.0570553
Portsmouth	0.057042
Farmington	0.0569289
"Tarrant County"	0.0568275
LAKEWOOD	0.056665
"Boynton Beach"	0.0562343
Pleasanton	0.0560778
Springfield	0.055988
Lansing	0.0559404
"Princeton University"	0.0557864
Montclair	0.0555843
"St. Paul"	0.0555124
"Fort Lauderdale"	0.0554857
Yonkers	0.0554256
Juilliard	0.0553813
"Long Beach"	0.0553654
Westwood	0.0551967
Wilmington	0.0550548
"Cherry Hill"	0.0548974
"Great Neck"	0.0548785
Concord	0.0538769
Dorchester	0.0537638
Antioch	0.0535901
"Oak Ridge"	0.0531872
"San Rafael"	0.0530912
"Boca Raton"	0.0529959
Milford	0.0526711
Plano	0.0524151
"Bay Area"	0.052307
Fairfax	0.0521293
Duluth	0.0520748
Boise	0.0518557
Dartmouth	0.051782
Middleton	0.0517675
"San Fernando Valley"	0.0517564
"Simi Valley"	0.0516804
"Santa Rosa"	0.0516272
"Miami Valley"	0.0515789
"La Jolla"	0.0513548
Hillsboro	0.0513455
Smyrna	0.051339
Hartford	0.0512966
Peabody	0.0511831
"prep school"	0.0510187
Hanover	0.0508882
Dearborn	0.0508769
Middletown	0.050586
"Fort Worth"	0.0505349
"Baton Rouge"	0.0503795
"Colorado Springs"	0.0503343
Winston-Salem	0.0499931
Naperville	0.0499186
"Northern California"	0.049769
"Van Nuys"	0.0497164
Foxborough	0.0496418
"Bay State"	0.0496132
bethel	0.0495823
Lafayette	0.0494207
Carlisle	0.0493982
"computer store"	0.0493178
Foxboro	0.0492813
"Vero Beach"	0.0491736
UGA	0.0490937
"ST. Joseph"	0.0487994
Provo	0.0487923
Tucson	0.0487641
Bloomfield	0.0487207
Hayward	0.0486939
Allentown	0.0485966
Hoboken	0.0485454
"Brooklyn Heights"	0.048511
"West Point"	0.0483469
))
(Andrade (desc 2737.87) (sims
Gogel	0.168999
Cink	0.139409
Calcavecchia	0.12751
Stricker	0.126645
Hoch	0.116323
Quigley	0.10978
Lowery	0.10503
Appleby	0.103899
Langham	0.103314
Andreychuk	0.10011
Inman	0.0988557
Kuehne	0.0982395
Stadler	0.0962598
Herron	0.0914411
Maggert	0.0910314
Dougherty	0.0908176
Durant	0.0894728
Azinger	0.0884184
Parnevik	0.0874361
Solis	0.0866241
estes	0.0860378
Fiorina	0.0841957
Inkster	0.0839666
Finney	0.0835782
Rahal	0.0832325
Lau	0.082588
Nadler	0.0825495
Prewitt	0.0800475
Gullikson	0.0799323
Fleischer	0.0799009
Sorenstam	0.0794744
Advani	0.0792422
Laudrup	0.0782488
Mayfair	0.0773789
Okada	0.0769802
Jaffe	0.0766325
Lawrie	0.0765624
Kane	0.0765439
Soto	0.0761651
Ochoa	0.0759153
Mikhailov	0.0758353
Mallon	0.075651
Cota	0.0756427
Paxon	0.0755439
Hendrickson	0.0755317
Bratton	0.0753005
Janzen	0.0752994
Finkel	0.0752114
Passarella	0.0745071
Furyk	0.0743352
Heinrichs	0.0741943
Guerra	0.0737771
Mickelson	0.0737728
Leetch	0.0737713
Sutton	0.0737303
Marinovich	0.073462
beamer	0.0734027
Solich	0.0732188
Conley	0.0730824
Madsen	0.0723133
Gilmour	0.0721976
Stackhouse	0.0721201
Beazley	0.0720662
Vizcaino	0.0719983
Romanowski	0.0719158
Valenti	0.0717656
Piot	0.0717383
Driscoll	0.0714602
Robson	0.0714149
Sheehan	0.0713937
Dragila	0.0712389
Whipple	0.0712206
Fagan	0.0711258
Olowokandi	0.0709489
Polian	0.070641
Aleman	0.0706056
Singh	0.0705409
Ebersol	0.0705157
Bullard	0.0704494
Chmura	0.0697425
Yount	0.069519
Brack	0.0695012
Maruyama	0.0694413
Sahadi	0.0691811
Lafleur	0.069181
McGregor	0.0690674
Brundtland	0.0689484
Gossage	0.068907
nance	0.0687242
Olazabal	0.0685799
Kahn	0.0684681
Hyman	0.0684511
Monahan	0.0682601
"Billy Andrade"	0.0682522
Faldo	0.0682282
Brazile	0.0679534
Ruehe	0.0679053
McKnight	0.0679007
Irwin	0.0676859
Surin	0.0676543
Hornaday	0.0675116
Alatas	0.0674101
D'Alessandro	0.0673595
Jimenez	0.0668345
Bergeron	0.0667595
Kenseth	0.0666211
Malu	0.0665175
Poole	0.0664937
Atler	0.0664632
Mandella	0.0664576
Najera	0.0664423
Huston	0.0662869
Schmid	0.066265
Conte	0.066044
Cowan	0.0660077
DeBerg	0.0658721
Grasso	0.0658661
Donohue	0.0658026
McCurry	0.0657728
Andretti	0.0656436
Insulza	0.0655835
"Dana Quigley"	0.0655234
Ganassi	0.0653957
Coffey	0.0650789
Palczynski	0.0650713
Diouf	0.0650465
Rosenthal	0.0648726
Harrington	0.0647863
Langdon	0.0647176
Satcher	0.0646737
Nicklaus	0.0646413
McKenna	0.0646281
Sherrill	0.0645854
Colbert	0.0645724
Adkins	0.0645387
Zuckerman	0.0645237
Lepage	0.0644361
Menard	0.0643887
Carbonneau	0.0643816
Triplett	0.0643335
Webb	0.0641863
Polynice	0.064085
rudd	0.0640473
Hanna	0.063754
Duval	0.0637364
Mendez	0.0636213
Redman	0.0635925
Herta	0.0635632
Hauser	0.0634882
Wagoner	0.0634681
Browne	0.0633928
"Earnhardt Jr."	0.0633343
Mobley	0.0632941
Tanui	0.0632195
Ainge	0.0631068
Tomey	0.0630421
Waltrip	0.0628818
Kerr	0.0628626
Gorter	0.0628137
Garces	0.0627519
Kuchar	0.0626886
Nasrallah	0.0626204
Jovanovic	0.0626119
Sorensen	0.062511
Tocchet	0.0624098
Rais	0.062373
Crenshaw	0.0623299
Mihm	0.0623234
"La Russa"	0.0623122
"administration official"	0.062285
Drexler	0.0622406
Lehman	0.0622136
Biffle	0.0622065
Manley	0.0621327
Jalabert	0.0620778
Munson	0.0619411
Davies	0.0618964
Conroy	0.0618757
Rothenberg	0.0618528
Contreras	0.061827
Kiareldeen	0.061788
Ozaki	0.0617503
Leavitt	0.0616755
Mustafa	0.061415
"Van de Velde"	0.0613737
Geiger	0.0613294
Rubenstein	0.0613123
Aventajado	0.0612407
Gutierrez	0.061238
Malik	0.0612194
Hodler	0.0611716
Sapp	0.0611099
Nunez	0.0610782
Silverstein	0.061054
Arias	0.0610205
Schmitt	0.0610192
Meissner	0.060934
Blackwell	0.0608524
Boorman	0.0607471
Godfrey	0.0607359
))
(Andre (desc 7110.26) (sims
Tim	0.11089
Reggie	0.101875
Todd	0.0999049
Randy	0.0941984
Jeff	0.0923916
Brian	0.0876203
Ted	0.0845588
Kenny	0.0842219
David	0.0824151
Michael	0.0812912
Ed	0.0812286
John	0.0809625
Ricky	0.0805761
Terry	0.0793853
Eric	0.0785634
Jim	0.0783921
Bobby	0.0781853
Danny	0.0777497
Steve	0.0775201
Roger	0.0769641
Gerald	0.076751
Carl	0.0763433
Jamie	0.0760287
Andy	0.0758198
Robert	0.0757166
Dan	0.0755328
Greg	0.0754233
Jake	0.0751718
Patrick	0.075058
Ronald	0.0750301
Shane	0.0748795
Matthew	0.0739497
Jessie	0.0739428
Larry	0.0736263
Fred	0.0735866
Andrea	0.073364
Rick	0.0729082
Anthony	0.0726905
Ben	0.0726501
Andrew	0.0725877
Phillip	0.0725651
Wayne	0.0724239
Pedro	0.0723806
Pete	0.0720983
William	0.0719417
Nicholas	0.071719
Steven	0.0711088
mike	0.0708323
Billy	0.0708027
Marty	0.0706184
Bruce	0.0705892
Jerry	0.0705315
Marvin	0.0704821
Dennis	0.0701819
Ralph	0.0698948
Andrei	0.0698868
tom	0.0698629
Joseph	0.06971
Joshua	0.0690836
BOB	0.068858
Jonathan	0.0688359
Brett	0.0688117
Vladimir	0.0687405
Richard	0.0687238
Alan	0.068628
Kevin	0.0684824
Paul	0.0681596
Anton	0.0681174
Robbie	0.0679206
Josh	0.0679083
Julian	0.0678572
Evan	0.0678126
Chris	0.0677301
Antonio	0.0676892
Walter	0.0676028
Gary	0.0674425
Gabe	0.0671245
Phil	0.0670934
Carlos	0.0669471
Sean	0.0668438
Dave	0.066539
Brad	0.0661705
matt	0.0657802
Rusty	0.0651731
Maurice	0.0648256
Justin	0.0646564
Keith	0.0645108
Jason	0.0644017
Fernando	0.064401
Peter	0.0643614
Ken	0.064227
nick	0.0640985
Frank	0.0640385
Eddie	0.0639268
Kuerten	0.0632311
Ian	0.0624516
Martina	0.0620401
Joe	0.0618756
James	0.0615631
Byron	0.0615238
Jon	0.0613976
Juan	0.0613658
Stephen	0.0612
Alex	0.0611043
Jimmy	0.061058
Barry	0.0609871
Roy	0.0608463
Medvedev	0.060605
Charles	0.0605393
Brent	0.0602966
Denis	0.0599641
Nicole	0.0599481
Henry	0.0599321
Darrell	0.0598854
Scott	0.059726
Luke	0.0595218
Joey	0.0595009
"George W."	0.0592545
Arthur	0.0589913
Brandon	0.0587198
Jeremy	0.0584592
Evander	0.0583754
"Earl Spencer"	0.0583328
Edberg	0.0581929
rios	0.0580509
Susan	0.0578685
Raoux	0.0577835
sandy	0.057
Harry	0.0567891
jack	0.0567348
Tarango	0.0565493
Felix	0.0564933
Roberto	0.0564201
Manuel	0.0563442
Sebastian	0.0563026
Johnny	0.0560105
Theo	0.0558507
Jackie	0.0555761
Sammy	0.0550987
Hugh	0.0549636
"Al Joyner"	0.0547873
Daniel	0.054733
Vince	0.0545481
Norman	0.0545056
jay	0.0544678
Judith	0.0544584
Jorge	0.0543786
Moya	0.0543154
Harold	0.0542754
Jose	0.0542359
Steffi	0.054099
Bryan	0.0540593
Amanda	0.0539815
Craig	0.0539257
Debbie	0.0539003
Agassi	0.053869
Oliver	0.0537461
Berasategui	0.0537237
Sergei	0.0536238
Kurt	0.0534749
Marc	0.0534244
Julio	0.0533707
ANN	0.0533172
Becker	0.0532596
Sergio	0.0528895
Noel	0.0528815
Adrian	0.0528733
Sam	0.0527825
Hans	0.0527385
Meligeni	0.052501
Albert	0.0524901
Francisco	0.0524605
Stan	0.0524362
Marie	0.0523346
Rene	0.052331
Lance	0.0522087
Miguel	0.052141
Gus	0.0520631
Sehorn	0.0519223
Nate	0.0519121
Sarah	0.0519075
Mauresmo	0.051784
Thomas	0.0516794
Serena	0.0516069
Julie	0.0516057
Owen	0.051587
Deion	0.0514325
Ramon	0.0513836
Jeb	0.0513375
dick	0.0513056
Kyle	0.0511566
Janet	0.0511464
Neil	0.0511201
Ivanisevic	0.0511156
Zachary	0.0510284
"C.J Hunter"	0.0510136
Jessica	0.0506945
Darryl	0.0505767
Korda	0.0505421
Edmund	0.0505197
))
("Andre Agassi" (desc 22227.9) (sims
"Pete Sampras"	0.396549
"Michael Chang"	0.375712
"Yevgeny Kafelnikov"	0.371349
"Patrick Rafter"	0.352006
"Lindsay Davenport"	0.351545
"Goran Ivanisevic"	0.349877
"Monica Seles"	0.337838
"Marcelo Rios"	0.325971
"Carlos Moya"	0.32243
"Thomas Muster"	0.321624
"Jim Courier"	0.31934
"Steffi Graf"	0.314803
"Richard Krajicek"	0.311857
"Martina Hingis"	0.311287
"Boris Becker"	0.30809
"Thomas Enqvist"	0.301386
"Venus Williams"	0.301096
"Todd Martin"	0.294923
"Gustavo Kuerten"	0.294855
"Arantxa Sanchez Vicario"	0.286304
"Mary Pierce"	0.282948
"Tim Henman"	0.280554
"Petr Korda"	0.279163
"Alex Corretja"	0.278339
Agassi	0.274398
"Greg Rusedski"	0.271518
"Jana Novotna"	0.270149
"Felix Mantilla"	0.264026
"Jonas Bjorkman"	0.260794
"Conchita Martinez"	0.259304
"Iva Majoli"	0.259164
"Mark Philippoussis"	0.256343
"Karol Kucera"	0.255823
"Serena Williams"	0.253111
"Cedric Pioline"	0.251891
"Arantxa Sanchez-Vicario"	0.246735
"Wayne Ferreira"	0.244961
"Magnus Norman"	0.243438
"Pat Rafter"	0.241849
"Anke Huber"	0.238072
"Sergi Bruguera"	0.229452
"Nathalie Tauziat"	0.224429
"Jennifer Capriati"	0.223265
"Stefan Edberg"	0.222242
"Albert Costa"	0.21984
Kafelnikov	0.219588
"Amanda Coetzer"	0.218733
"MaliVai Washington"	0.216968
"Michael Stich"	0.216331
Sampras	0.214835
Hingis	0.213494
"Marc Rosset"	0.210388
Moya	0.209248
"Sandrine Testud"	0.205837
Seles	0.202857
"Alberto Berasategui"	0.202585
"Tommy Haas"	0.201395
"Anna Kournikova"	0.200241
"Andrei Medvedev"	0.200012
"Thomas Johansson"	0.199341
"Jan-Michael Gambill"	0.199284
"Dominique Van Roost"	0.197949
"Nicolas Kiefer"	0.197679
"Marat Safin"	0.195685
"Chanda Rubin"	0.193575
"American Andre Agassi"	0.191385
Davenport	0.189091
"Natasha Zvereva"	0.187472
"Jason Stoltenberg"	0.187073
"American Pete Sampras"	0.186577
"American Lindsay Davenport"	0.184446
"Jimmy Connors"	0.183265
"Byron Black"	0.182897
"Irina Spirlea"	0.181727
"Patty Schnyder"	0.181539
"Todd Woodbridge"	0.180692
"Russian Yevgeny Kafelnikov"	0.18062
"Francisco Clavet"	0.176992
rios	0.176547
"Julie Halard-Decugis"	0.17629
Kuerten	0.175249
"Mark Woodforde"	0.174991
"Mary Joe Fernandez"	0.172807
Corretja	0.171522
"Lisa Raymond"	0.171349
"Vincent Spadea"	0.17067
"Magnus Gustafsson"	0.170293
"Kong Linghui"	0.169519
"Alex O'Brien"	0.169366
"Ai Sugiyama"	0.168497
Henman	0.167632
"Amy Frazier"	0.16601
"Amelie Mauresmo"	0.165493
"Richard Fromberg"	0.164921
Siemerink	0.164071
"Peter Gade Christensen"	0.163781
"American Chanda Rubin"	0.163558
"Ye Zhaoying"	0.162842
"American Michael Chang"	0.162537
"Magnus Larsson"	0.162442
Novotna	0.162294
"Gong Zhichao"	0.16096
"American Todd Martin"	0.159777
"Lleyton Hewitt"	0.159674
Rafter	0.159492
"Alberto Costa"	0.158496
"Jeff Tarango"	0.156395
"Scott Draper"	0.156294
Krajicek	0.155731
"Leander Paes"	0.154898
"Justin Gimelstob"	0.154684
Ivanisevic	0.151898
Rusedski	0.151469
"Richey Reneberg"	0.151226
"Barbara Schett"	0.150393
"South African Amanda Coetzer"	0.148633
"John McEnroe"	0.148543
"Peter Nicol"	0.148533
"Brenda Schultz-McCarthy"	0.146769
"Liu Guoliang"	0.146467
"Kimiko Date"	0.146303
"Paul Haarhuis"	0.14584
"Sanchez Vicario"	0.144946
"Camilla Martin"	0.144728
"Ruxandra Dragomir"	0.144011
Enqvist	0.143438
"Andrea Gaudenzi"	0.143213
"Yayuk Basuki"	0.143042
"Barbara Paulus"	0.141218
"Mariano Puerta"	0.140436
"Rodney Eyles"	0.139843
"Fernando Meligeni"	0.139593
"Jansher Khan"	0.138962
"Magdalena Maleeva"	0.13821
"Nicolas Escude"	0.137823
"Joko Suprianto"	0.137801
"Dong Jiong"	0.136993
"Vince Spadea"	0.135986
"Australian Mark Philippoussis"	0.135661
"Younes El Aynaoui"	0.135173
"Li Fang"	0.135158
"Nicolas Lapentti"	0.134648
"Jonathan Stark"	0.134333
"Elena Likhovtseva"	0.134173
"Chris Woodruff"	0.133789
"Carlos Costa"	0.133611
Mantilla	0.133048
"Dai Yun"	0.132982
Sanchez-Vicario	0.131939
Muster	0.131658
Pioline	0.131495
"Tamarine Tanasugarn"	0.131427
Philippoussis	0.130469
"Fabrice Santoro"	0.130417
Bjorkman	0.129775
"Albert Portas"	0.129682
"Ivan Lendl"	0.129558
"Bjorn Borg"	0.129389
Korda	0.129146
"Arnaud Clement"	0.129083
"Martina Navratilova"	0.129036
"Nathalie Dechy"	0.128621
"Sabine Appelmans"	0.128585
"Heryanto Arbi"	0.1285
Chang	0.128291
"Mats Wilander"	0.128287
Majoli	0.128023
"Sjeng Schalken"	0.127693
"Sebastien Grosjean"	0.127395
"Ge Fei"	0.127243
Graf	0.126512
"Wang Nan"	0.126462
"Silvia Farina"	0.12595
"Brett Steven"	0.125346
"Hicham Arazi"	0.125242
"Filip Dewulf"	0.124514
Tauziat	0.124502
"Dominik Hrbaty"	0.12442
"David Prinosil"	0.123786
Kiefer	0.122801
"Susi Susanti"	0.1225
"Tara Snyder"	0.122384
Hendrawan	0.122124
"Rainer Schuttler"	0.121444
Bruguera	0.121443
"Kenneth Carlsen"	0.120577
"Judith Wiesner"	0.119384
"Hernan Gumy"	0.119314
"Steve Campbell"	0.11914
"Wayne Black"	0.118955
Kournikova	0.118955
Capriati	0.118748
"Andres Gomez"	0.118606
Serena	0.118549
"Kimberly Po"	0.118361
"Jelena Dokic"	0.118284
"Mia Audina"	0.117603
"Jan-Ove Waldner"	0.117413
Safin	0.116878
"Naoko Sawamatsu"	0.116563
"Davide Sanguinetti"	0.11656
"Briton Greg Rusedski"	0.116343
Berasategui	0.116019
"Roger Federer"	0.115495
"Taufik Hidayat"	0.11501
"Allen Johnson"	0.114808
"Arnaud Boetsch"	0.114647
"Sarah Pitkowski"	0.114287
Becker	0.114126
Rosset	0.113852
"Michelle Kwan"	0.113461
Coetzer	0.112735
seed	0.112195
"Corina Morariu"	0.111857
Waldner	0.111545
"Alexandra Stevenson"	0.111328
"Andrei Pavel"	0.110604
"Fung Permadi"	0.110107
"Galo Blanco"	0.10965
"Andrew Ilie"	0.109114
"Guillaume Raoux"	0.108553
"Katja Seizinger"	0.108324
"Peter Rasmussen"	0.108092
Ferreira	0.107515
"Xia Xuanze"	0.107408
Huber	0.107105
"Jorgen Persson"	0.106845
"Vladimir Samsonov"	0.106359
"Maurice Greene"	0.106272
"Julian Alonso"	0.106242
Mauresmo	0.106166
"Anne-Gaelle Sidot"	0.105694
Kucera	0.105533
champion	0.105238
Top-seeded	0.105028
"Joannette Kruger"	0.104882
"Tiger Woods"	0.103941
"Gail Devers"	0.103783
"Mark Knowles"	0.103705
"Deng Yaping"	0.103688
"Daniel Nestor"	0.103309
Sugiyama	0.102896
"Franco Squillari"	0.102747
"Lori McNeil"	0.102207
"Slava Dosedel"	0.102075
"Garry Kasparov"	0.101492
"Arnaud Di Pasquale"	0.101482
"Jacco Eltingh"	0.101329
"Karim Alami"	0.100791
"Li Ju"	0.10037
))
("Andre Braugher" (desc 3105.81) (sims
"Kim Basinger"	0.122991
"Michael Caine"	0.111229
"Edie Falco"	0.110824
"Dennis Franz"	0.103329
"Geoffrey Rush"	0.101021
"James Gandolfini"	0.0964609
"Meryl Streep"	0.0912791
"John Goodman"	0.0908046
"Sarah Jessica Parker"	0.0905801
"Jon Voight"	0.0896047
"Renee Zellweger"	0.0887882
"Geena Davis"	0.0877816
"Kevin Spacey"	0.0862329
"Roberto Benigni"	0.0832724
"Jeremy Irons"	0.0820194
"Sally Field"	0.0815353
"Sela Ward"	0.0812739
"Ethan Hawke"	0.0800491
"Gregory Peck"	0.079899
"Kevin Bacon"	0.0785094
"Cate Blanchett"	0.0770056
"Joseph Fiennes"	0.0758568
"Tom Hanks"	0.0751882
"Ben Affleck"	0.0747834
"Kelsey Grammer"	0.0746259
"Ray Romano"	0.0740491
"Janet McTeer"	0.0732859
"Judi Dench"	0.0729545
"Keri Russell"	0.0724718
"Norm MacDonald"	0.0723933
"Gwyneth Paltrow"	0.0722524
"Holly Hunter"	0.0717204
"JOHN TURTURRO"	0.0714621
"Pierce Brosnan"	0.071444
"Ian McKellen"	0.0714058
"Koji Ito"	0.0712826
"Matt Damon"	0.0709833
"Russell Crowe"	0.0703311
"Jodie Foster"	0.0703188
"Jimmy Smits"	0.0702401
"Frances McDormand"	0.0699173
"David Duchovny"	0.0698402
"Chow Yun-Fat"	0.0696987
"Denzel Washington"	0.0695049
"Harrison Ford"	0.0688796
"Eric Cantona"	0.06874
"Jude Law"	0.0687044
"Sidney Poitier"	0.0686074
"Sean Penn"	0.0681581
"Eddie Cheever"	0.0680432
"Richard Dreyfuss"	0.0680207
"Samuel L. Jackson"	0.0679578
"Nathan Lane"	0.0677951
"Walter Matthau"	0.0676275
"Keanu Reeves"	0.0675563
"Tom Cruise"	0.0674505
"George Clooney"	0.0673258
"Bette Davis"	0.0671976
"Audra McDonald"	0.0668497
"Don Cheadle"	0.0663397
"Ralph Fiennes"	0.0662914
"Kirsten Dunst"	0.0658696
"Julia Roberts"	0.0652555
"Jeff Bridges"	0.064946
"James Van Der Beek"	0.0643538
"Richard Hatch"	0.064259
"Calista Flockhart"	0.0638143
"Mark Wahlberg"	0.0637899
"Michelle Pfeiffer"	0.0637216
"William H. Macy"	0.0635482
"Jessica Lange"	0.0632888
"Robert de Niro"	0.0631407
"Will Smith"	0.0629281
"Wesley Snipes"	0.0625773
"Spencer Tracy"	0.0623538
"AL PACINO"	0.0623517
"Jennifer Love Hewitt"	0.0621487
"Nicolas Cage"	0.061856
"Kevin Costner"	0.0618483
"Joan Allen"	0.0614986
"Billy Bob Thornton"	0.0614884
"Helen Hunt"	0.0612725
"Olin Browne"	0.0611295
"Catherine Deneuve"	0.0605795
"Hidetoshi Nakata"	0.0602996
"Gabriel Byrne"	0.059738
"Jay Mohr"	0.0596802
"David Spade"	0.059497
"Ving Rhames"	0.0593592
"Hilary Swank"	0.0593561
"Anthony Hopkins"	0.0593056
"Martin Sheen"	0.0592355
"Sandra Bullock"	0.0587895
"Kate Winslet"	0.0587752
"Richard Gere"	0.0586166
"Cameron Diaz"	0.0584849
"Sigourney Weaver"	0.058443
"Tim Allen"	0.0583839
"Winona Ryder"	0.0583663
"Halle Berry"	0.0581443
"Angela Bassett"	0.0581114
"Jim Carrey"	0.0578768
"Dennis Quaid"	0.0577103
"James Woods"	0.0574018
"Robert Carlyle"	0.0573285
"Jack Nicholson"	0.0572171
"Anna Paquin"	0.0569836
"Billy Crystal"	0.0567975
"Ally Sheedy"	0.0567466
"Johnny Depp"	0.0565629
"Susan Sarandon"	0.0563361
"Kathy Bates"	0.0561273
"Leonardo DiCaprio"	0.0556215
"Ian Holm"	0.0555688
"Kirk Douglas"	0.0555431
"Jackie Chan"	0.0553729
"Burt Reynolds"	0.0553475
"Dame Judi Dench"	0.0551584
"Martin Lawrence"	0.0550017
"Claire Danes"	0.0549278
"Cuba Gooding Jr."	0.0549119
Costner	0.0548908
"James Earl Jones"	0.0542378
Dench	0.0540374
"Jeff Daniels"	0.054021
"Gillian Anderson"	0.0540121
"William Hurt"	0.0539533
"Albert Brooks"	0.0539466
"Christopher Reeve"	0.0539085
"Manny Fernandez"	0.0537075
"Emily Watson"	0.0536931
"Stephen Rea"	0.0536524
"Matthew McConaughey"	0.0535514
"Garry Shandling"	0.0531138
"Angelina Jolie"	0.0531035
"Alec Baldwin"	0.0530631
"James Cagney"	0.053041
"Tom Selleck"	0.0529165
"Val Kilmer"	0.0528557
"Bonnie Raitt"	0.0526948
"Robert DeNiro"	0.0526776
"Brenda Blethyn"	0.0524161
"Ashley Judd"	0.0524094
"Henry Fonda"	0.0522222
"Alex Zanardi"	0.0520181
"Kevin Kline"	0.0519883
"Carol Burnett"	0.0519632
"Adam Sandler"	0.0518401
Braugher	0.0517202
"Miguel Indurain"	0.0516424
"Heather Graham"	0.0516074
"Hu Weidong"	0.0515496
"Jane Fonda"	0.0512601
"Burt Lancaster"	0.051208
"Penelope Cruz"	0.0508872
"Ed Harris"	0.050763
"Aidan Quinn"	0.050755
"Sarah Michelle Gellar"	0.0505613
"Tobey Maguire"	0.0505476
"Humphrey Bogart"	0.0503334
Daylami	0.0501874
"Reese Witherspoon"	0.0501851
"Edward Furlong"	0.0501703
"bit part"	0.0501359
"Katharine Hepburn"	0.0501323
"Bruce Willis"	0.0500917
"William Shatner"	0.0499656
"Liam Neeson"	0.0499104
"Whoopi Goldberg"	0.0497204
"Robert Pires"	0.0496802
"Drew Barrymore"	0.0496418
"Diane Keaton"	0.0496404
"Alicia Silverstone"	0.0494332
"Dominique Wilkins"	0.0494132
"Jack Lemmon"	0.0492955
"Charles Woodson"	0.0492872
"Doak Walker"	0.0492258
"Bill Murray"	0.0489233
"Sheryl Crow"	0.0488578
"Chevy Chase"	0.0485789
"Helen Mirren"	0.048528
"Warren Beatty"	0.048522
"Nicole Kidman"	0.0485035
"Robert Redford"	0.0484994
"Tim Robbins"	0.048364
"Omar Epps"	0.0483572
"Jamie Foxx"	0.0482013
"Lisa Kudrow"	0.0480947
"Brendan Fraser"	0.0480724
"Hugh Grant"	0.0479678
"Bobby Rahal"	0.0478678
"Bo Jackson"	0.0478454
"Thandie Newton"	0.0475434
"Antonio Banderas"	0.0474675
"Nigel Hawthorne"	0.0474018
"Michael J. Fox"	0.0470706
"Michael Douglas"	0.0469963
"Johan Cruyff"	0.046846
"Al Unser Jr."	0.0468309
"Drew Carey"	0.0468031
))
("Andre Miller" (desc 3987.39) (sims
"Baron Davis"	0.255283
"Jason Terry"	0.252026
"Wally Szczerbiak"	0.249552
"William Avery"	0.231865
"Steve Francis"	0.22301
"Richard Hamilton"	0.222937
"Elton Brand"	0.219119
"Mateen Cleaves"	0.217044
"Corey Maggette"	0.212438
"Trajan Langdon"	0.210799
"Ron Artest"	0.208488
"Mike Bibby"	0.182531
"Ricky Moore"	0.17062
"Scoonie Penn"	0.166466
"Khalid El-Amin"	0.166307
"Lamar Odom"	0.164583
"Dion Glover"	0.153897
"Toby Bailey"	0.152853
"Kenny Thomas"	0.151997
"Shawn Marion"	0.143372
"Jason Williams"	0.133739
"Michael Olowokandi"	0.127611
"Chamique Holdsclaw"	0.123603
"Brandon Granville"	0.122749
"Shammond Williams"	0.121082
"Jonathan Bender"	0.120635
"Jeff Hornacek"	0.117446
"Erick Barkley"	0.114845
"Wayne Turner"	0.113904
"Matt Santangelo"	0.113819
"Antawn Jamison"	0.113005
"Shawn Kemp"	0.112596
"Damien Woody"	0.111315
"Michael Dickerson"	0.111212
"Thomas Jones"	0.110757
"John Stockton"	0.110232
"Bonzi Wells"	0.10899
"Kim Perrot"	0.108697
"Chris Carrawell"	0.108528
"Cuttino Mobley"	0.107013
"Bob Sura"	0.105627
"Pat Burrell"	0.105304
"Bimbo Coles"	0.10485
"Derek Anderson"	0.102319
"Brevin Knight"	0.101439
"Mark Jackson"	0.100849
"Tyronn Lue"	0.100309
"Larry Hughes"	0.0997821
"Flozell Adams"	0.0984379
"Sherman Douglas"	0.0981868
"Edgerrin James"	0.0980358
"David Boston"	0.0977987
"Earl Watson"	0.0973461
"Avery Johnson"	0.0973229
"Solomon Page"	0.0967463
"Raef LaFrentz"	0.0965726
"Eric Murdock"	0.0964151
"Manny Malhotra"	0.0963917
"Zydrunas Ilgauskas"	0.096022
"Bryce Drew"	0.0959191
"Darrick Martin"	0.0954994
"Jimmy Oliver"	0.0953097
"Shandon Anderson"	0.0953082
"Kerry Kittles"	0.0940077
"Paul Pierce"	0.0931852
"Darrell Armstrong"	0.0923212
"Sebastian Janikowski"	0.09231
"Courtney Alexander"	0.0922161
"Andre Wadsworth"	0.0911352
"Hersey Hawkins"	0.0910951
"Michele Timms"	0.0906817
"Kenny Anderson"	0.0906152
"Travis Best"	0.0899847
"Mike Leavitt"	0.0899384
"Nikki McCray"	0.0888493
"Eddie House"	0.088838
"John Avery"	0.0886145
"Charlie Ward"	0.0884784
"Howard Eisley"	0.0879707
"Jumaine Jones"	0.0876364
"Andy Katzenmoyer"	0.0872373
"Etan Thomas"	0.087163
"Todd MacCulloch"	0.0862727
"Leon Smith"	0.0860484
"Jeff Weaver"	0.0859764
"Greg Ellis"	0.0859421
"David Wesley"	0.0857875
"Keith Brooking"	0.0857682
"Teresa Weatherspoon"	0.0854956
"Bryon Russell"	0.0854662
"Ron Mercer"	0.0848675
"Adrian Griffin"	0.0845905
"Kevin Freeman"	0.0844855
"Tim Couch"	0.0844821
"Terrell Brandon"	0.0843429
"Darius Miles"	0.0842027
"L.J Shelton"	0.0839032
"Dirk Nowitzki"	0.0838244
"John Tait"	0.0835689
"Jim Jackson"	0.0828652
"Chauncey Billups"	0.0826628
"Michael Finley"	0.0826188
"Robert Edwards"	0.0819996
"Antonio Daniels"	0.0819128
"Eric Snow"	0.0816916
Langdon	0.0815445
"Ukari Figgs"	0.0813674
"Shane Battier"	0.0811082
"Curtis Enis"	0.081096
"Mitch Richmond"	0.0810681
"Derek Fisher"	0.0808435
"Kevin Johnson"	0.0806643
"Maurice Taylor"	0.0801925
"Stephon Marbury"	0.0801697
"Patrik Stefan"	0.0800116
"Robert Pack"	0.0796117
"Devean George"	0.0791038
"Chad Pennington"	0.0790795
"Tim Hardaway"	0.078694
"Champ Bailey"	0.0784068
"Jake Voskuhl"	0.07825
"Greg Anthony"	0.0780688
"Dez White"	0.0778878
"Mark Madsen"	0.0775432
"Trung Canidate"	0.0773575
"Derek Harper"	0.0773235
El-Amin	0.0765461
"Norm Maracle"	0.0763833
"Jason Fabini"	0.0756594
"Ryan Leaf"	0.0754587
"Kris Clack"	0.0753277
"Torry Holt"	0.0741448
"B.J Armstrong"	0.074105
"Randy Brown"	0.0735669
"Al Harrington"	0.0725437
"Lee Nailon"	0.0722572
"Voshon Lenard"	0.0720266
"Kevin Faulk"	0.0702254
"Ron Harper"	0.0700545
"Pat Garrity"	0.0700234
"Reggie Miller"	0.0699365
"Anthony Johnson"	0.0699238
"Akili Smith"	0.0698532
"Chris Porter"	0.069757
"Ryan Bailey"	0.0695756
"Damon Stoudamire"	0.0694395
"Steve Kerr"	0.0691922
"Sam Cassell"	0.068947
"Skip Hicks"	0.0689435
"Chris Claiborne"	0.0689308
"Lorenzen Wright"	0.0688284
"Penny Hardaway"	0.0686889
"Chris Childs"	0.0685539
"Brent Price"	0.0676968
Szczerbiak	0.0675722
"Karl Malone"	0.0674682
Olowokandi	0.0669181
"Joe Smith"	0.0667136
"Dawn Staley"	0.066653
"Mark Williams"	0.0666459
Francis	0.0665442
"Ebenezer Ekuban"	0.0664199
"Kenyon Martin"	0.0663623
"Gary Payton"	0.0662825
"Tariq Abdul-Wahad"	0.0659758
"DeLisha Milton"	0.0659338
"Tebucky Jones"	0.0648132
"Cade McNown"	0.0647591
"Michael Redd"	0.0646295
"Jalen Rose"	0.0643184
"Mookie Blaylock"	0.0639734
"Isaiah Rider"	0.0639238
"Rashard Lewis"	0.0638866
"Jerry Stackhouse"	0.0638226
"Doug Christie"	0.0637947
"Mike Miller"	0.0637702
"Cynthia Cooper"	0.0637075
"Matt Harpring"	0.0635293
"Wang Zhizhi"	0.0634518
"J.D Drew"	0.0634454
"Bruce Matthews"	0.0634221
Bibby	0.0633024
"Joe Thornton"	0.0632577
"Terry Porter"	0.0630609
"Allen Iverson"	0.0630456
"Donyell Marshall"	0.0628904
"Joe Dumars"	0.0628364
Holdsclaw	0.0623707
"Tony George"	0.0622257
"Einar Diaz"	0.0621951
"Rod Strickland"	0.0620502
Cleaves	0.0618337
"Peter Warrick"	0.0618021
"Steve Nash"	0.0613826
"Eddie Jones"	0.0611225
"Brenden Morrow"	0.0608967
"Juwan Howard"	0.0606277
Odom	0.0605307
"Jason Kidd"	0.0603594
"Nick Anderson"	0.0600731
))
("Andre Previn" (desc 1601.7) (sims
"Pierre Boulez"	0.140772
"Itzhak Perlman"	0.108586
"Leonard Bernstein"	0.106314
"Quincy Jones"	0.0932075
"Waylon Jennings"	0.0888175
"Frank Wildhorn"	0.0868115
"Seiji Ozawa"	0.0857855
"John Cage"	0.079366
"Isaac Stern"	0.0783827
"Andrew Lloyd Webber"	0.0781922
Harbison	0.078093
lyricist	0.075186
"Robert Shaw"	0.0751605
"Zubin Mehta"	0.0750424
"John Williams"	0.0746215
"Stephen Sondheim"	0.0738272
"Philip Glass"	0.0723018
"James Levine"	0.071968
"John Mellencamp"	0.0716112
"Burt Bacharach"	0.0710951
"James Earl Jones"	0.0661137
"Randy Newman"	0.0655015
Britten	0.0643345
Verdi	0.0634302
"Tennessee Williams"	0.0624425
Gluck	0.0607948
Bolcom	0.0597857
Branagh	0.0590535
arranger	0.0585147
Monteverdi	0.057738
Boulez	0.0575561
"Johnny Cash"	0.0568282
librettist	0.0553833
Bellini	0.0548069
musicologist	0.0544205
Debussy	0.0544039
"Kris Kristofferson"	0.0535644
"George Gershwin"	0.0534781
"Boston Symphony"	0.0517394
Handel	0.0509163
"Duke Ellington"	0.0509093
"Dwight Yoakam"	0.0502867
Ravel	0.04978
"Julie Taymor"	0.0490945
"Richard Strauss"	0.0482421
"Emmylou Harris"	0.0478802
Berlioz	0.0477477
"Paul Schrader"	0.0466373
"Neil Simon"	0.0456775
"Herbie Hancock"	0.0452828
"Merle Haggard"	0.0448177
Stravinsky	0.0438245
"Wynton Marsalis"	0.0435676
Copland	0.0431178
Rachmaninoff	0.0419667
Puccini	0.0417616
"Loretta Lynn"	0.041556
"music teacher"	0.0413276
bandleader	0.0410877
Spoleto	0.0405626
"Steve Earle"	0.0405509
keyboardist	0.0405047
"exotic dancer"	0.0403716
trumpeter	0.040192
))
("Andre Reed" (desc 1819.76) (sims
"Eric Moulds"	0.310269
"Yancey Thigpen"	0.228877
"Bruce Smith"	0.228875
"Derrick Mayes"	0.200264
"Thurman Thomas"	0.191939
"HERMAN MOORE"	0.1902
"Jim Kelly"	0.182279
"Jimmy Smith"	0.180151
"Chris Calloway"	0.17948
"Andre Rison"	0.171218
"Antonio Freeman"	0.170549
"Amani Toomer"	0.169208
"Kevin Williams"	0.163923
"Marvin Harrison"	0.15123
"Tim Dwight"	0.148982
"Carl Pickens"	0.148598
"Frank Sanders"	0.148563
"Peerless Price"	0.146139
"Ed McCaffrey"	0.144661
"Windrell Hayes"	0.144032
"Michael Westbrook"	0.14334
"Rob Moore"	0.142652
"Billy Davis"	0.139826
"Wayne Chrebet"	0.138176
"Kevin Johnson"	0.13808
"Kevin Dyson"	0.137616
"Robert Brooks"	0.134085
"Ike Hilliard"	0.134034
"Terance Mathis"	0.133534
"Isaac Bruce"	0.132162
"Tim Brown"	0.128668
"Ernie Mills"	0.12832
"Terrell Owens"	0.126609
"R. Jay Soward"	0.122853
"Lynn Swann"	0.122845
"Torry Holt"	0.122119
"Oronde Gadsden"	0.121266
"Rod Smith"	0.120384
"Jake Reed"	0.119602
"Doug Flutie"	0.119223
"Tony Martin"	0.118656
"Danny Farmer"	0.118592
"David Boston"	0.117919
"Wane McGarity"	0.117765
"Eric Metcalf"	0.1174
"Dez White"	0.117371
"Shawn Jefferson"	0.117353
"Vincent Brisby"	0.116758
"Rob Johnson"	0.115211
"Rocket Ismail"	0.114801
"Dedric Ward"	0.114368
"Chris Taylor"	0.11425
"Marcell Allmond"	0.114209
"Joey Galloway"	0.113761
"James McKnight"	0.113123
"Jeff Ogden"	0.111268
"Kareem Kelly"	0.109031
"Rae Carruth"	0.108492
"Cris Carter"	0.105772
"Reggie White"	0.104376
"Troy Brown"	0.103544
"Derrick Alexander"	0.100961
"Tony Simmons"	0.099648
"Keyshawn Johnson"	0.0995283
"J.J Stokes"	0.0973315
"Raghib Ismail"	0.0971724
"Michael Irvin"	0.094325
"Jason Tucker"	0.0908024
"Jerry Rice"	0.0905788
"Bobby Brown"	0.0905035
"Freddie Mitchell"	0.0892654
"Bruce Matthews"	0.0846623
"Deion Sanders"	0.0824541
"Sam Gash"	0.0803964
"Peter Warrick"	0.0789175
"Kyle Brady"	0.0788786
"Dana Stubblefield"	0.0785336
"Terry Allen"	0.0783412
Toomer	0.0772368
"Jermaine Lewis"	0.0763901
"Terry Glenn"	0.0755583
"Randall Cunningham"	0.0745365
"Gary Gaetti"	0.0730048
"Randy Moss"	0.0729885
Laudrup	0.0721147
Gadsden	0.0717131
"Bubby Brister"	0.0707389
"Warren Moon"	0.0697024
Mathis	0.0691536
"Derek Harper"	0.0690931
Meggett	0.0675768
Pickens	0.0675538
"Bruce Armstrong"	0.0674682
"Jimmy Oliver"	0.0669894
"Marshall Faulk"	0.0661873
Dwight	0.0654562
"Jeff George"	0.0648771
"Stephen Davis"	0.0646515
"Brian Poli-Dixon"	0.064334
"John Vanbiesbrouck"	0.0641677
"Steve DeBerg"	0.0640044
"Drew Bennett"	0.0611198
"Steve Largent"	0.0605065
"Cliff Ronning"	0.0604846
"Shannon MacMillan"	0.0604216
"police lieutenant"	0.0601298
"Neil Smith"	0.0600582
"Herschel Walker"	0.0600154
Stackhouse	0.0591837
"Ron Harper"	0.0591308
"Anita Wachter"	0.0589652
"Eric Davis"	0.0588209
Reichel	0.0585168
Chrebet	0.0583939
"Mike Jones"	0.0580186
"Willie Clay"	0.0575155
"Ray Ferraro"	0.0573286
"Carlos Hermosillo"	0.0572637
"Ian Wright"	0.057081
"Chris Chandler"	0.0568179
Leetch	0.0567457
"David LaFleur"	0.0565907
"Ben Coates"	0.0562752
"Darrell Green"	0.0562465
"Keith Byars"	0.0561071
Deane	0.0560468
Nailon	0.0559318
Knapp	0.0558489
Ismail	0.0555558
"Doug Pederson"	0.0553479
"Grant Fuhr"	0.0552531
ISSEL	0.0548636
"Alexei Zhitnik"	0.0546625
"Wilson Alvarez"	0.0545855
"Liu Xuan"	0.0545812
"Karim Abdul-Jabbar"	0.0545222
MacInnis	0.0541657
"Charlie Garner"	0.054048
"Marco Etcheverry"	0.0539438
"Charles Haley"	0.053929
"Curtis Martin"	0.0538758
Baggio	0.0538426
"Dixon Ward"	0.0536193
Dawkins	0.0532414
"Hu Weidong"	0.0527927
Metcalf	0.0521599
"Garry Galley"	0.0518686
"Ray Bourque"	0.0516598
Mercker	0.0514859
"Tab Ramos"	0.051473
"Dale Ellis"	0.0513348
Galloway	0.0512551
"Charles Johnson"	0.0512302
"Paul Justin"	0.0510918
"Marcus Allen"	0.050813
Ranford	0.0506244
"Steve Young"	0.0505295
"Shannon Sharpe"	0.0505175
"Lou Dobbs"	0.0498876
"Will Perdue"	0.0497444
"Dale Hunter"	0.0496829
"Curtis Brown"	0.0492899
"Jim Corsi"	0.0492097
Hagi	0.0491952
"Lothar Matthaeus"	0.0491572
"Don Sweeney"	0.0490292
"Doug Johnson"	0.0490237
"Ken Daneyko"	0.048367
"John Elway"	0.0483085
"John Salley"	0.0479308
Nevin	0.0479149
"Jason Elam"	0.0478855
Raines	0.0478322
Artest	0.0478186
"Vinny Testaverde"	0.0476387
Connell	0.047637
Kluivert	0.0475999
"Paul Caligiuri"	0.0474055
"Olden Polynice"	0.0473476
"Buffalo Bills"	0.0469951
Raducan	0.0469048
Samuelsson	0.0467771
"Bobby Newcombe"	0.0466856
"Phillippi Sparks"	0.0466506
"Fred Taylor"	0.0464731
Dunston	0.0464015
Solis	0.0462891
"Huang Xu"	0.0462395
"Herb Williams"	0.0461699
"Lomas Brown"	0.0461249
"Rickey Henderson"	0.0458172
"Brian Shaw"	0.0457661
"Drew Bledsoe"	0.0457355
downfield	0.0456905
"Jackie Harris"	0.0456348
Spiers	0.045633
"Jumbo Elliott"	0.0455765
Quinn	0.0455145
"Bill Elliott"	0.0452826
Moehler	0.0452576
))
("Andre Rison" (desc 1167.03) (sims
"Tim Brown"	0.234185
"Yancey Thigpen"	0.231903
"Chris Calloway"	0.222089
"Terance Mathis"	0.207731
"Lynn Swann"	0.199738
"Jimmy Smith"	0.194872
"Frank Sanders"	0.192965
"Amani Toomer"	0.185522
"Rae Carruth"	0.179399
"Windrell Hayes"	0.176816
"Tony Martin"	0.17383
"Tim Dwight"	0.173738
"Terrell Owens"	0.172805
"Andre Reed"	0.171218
"Oronde Gadsden"	0.163961
"Antonio Freeman"	0.163377
"Peerless Price"	0.163243
"Eric Moulds"	0.161994
"Ike Hilliard"	0.161348
"Billy Davis"	0.1611
"Derrick Alexander"	0.157066
"Dez White"	0.153297
"Carl Pickens"	0.152855
"Troy Brown"	0.149616
"Derrick Thomas"	0.148553
"Ed McCaffrey"	0.146044
"HERMAN MOORE"	0.144868
"Marcell Allmond"	0.141782
"Rob Moore"	0.141709
"Chris Taylor"	0.141258
"James McKnight"	0.14108
"Derrick Mayes"	0.141009
"Torry Holt"	0.1397
"Kareem Kelly"	0.139541
"Kevin Williams"	0.139432
"Kevin Dyson"	0.138459
"Isaac Bruce"	0.138032
"Jeff Ogden"	0.134905
"Wayne Chrebet"	0.134787
"Michael Westbrook"	0.134148
"Rod Smith"	0.131018
"Eric Metcalf"	0.130272
"Rich Gannon"	0.129874
"Joey Galloway"	0.129378
"Raghib Ismail"	0.128969
"Wane McGarity"	0.127877
"Dale Carter"	0.126431
"Ernie Mills"	0.126181
"Danny Farmer"	0.125308
"R. Jay Soward"	0.125092
"Robert Brooks"	0.124949
"Jason Tucker"	0.119677
"Rich Brooks"	0.119317
"Marvin Harrison"	0.118582
"Elvis Grbac"	0.118209
"Jake Reed"	0.116977
"David Boston"	0.116422
"Shawn Jefferson"	0.114481
"Rocket Ismail"	0.113297
"Tony Simmons"	0.108136
"Dedric Ward"	0.107923
"Kevin Johnson"	0.104889
"Cris Carter"	0.104039
"Terry Glenn"	0.100935
"Tiki Barber"	0.0984813
"Vincent Brisby"	0.0982799
"J.J Stokes"	0.098198
"Peter Warrick"	0.0960478
"Keyshawn Johnson"	0.0943194
"Michael Irvin"	0.0942886
"Randy Moss"	0.0939888
"Jerry Rice"	0.0930429
"Freddie Mitchell"	0.0906179
"Reggie White"	0.0881683
mini-camp	0.0856503
"Jermaine Lewis"	0.0825204
"Eugene Robinson"	0.0818042
"Bob Whitfield"	0.081524
"Jimmy Oliver"	0.078659
"Danny Kanell"	0.0782379
"June Jones"	0.0763616
"Jeff George"	0.075113
"Cliff Ronning"	0.0742432
"Robert Pires"	0.0735211
"Brian Poli-Dixon"	0.0726799
Chrebet	0.0725498
"Ray Lewis"	0.072197
downfield	0.0721858
Dwight	0.0717857
"Charlie Garner"	0.0715636
"Roger Staubach"	0.0714589
"Ian Wright"	0.0713758
Gadsden	0.0710938
"Steve Largent"	0.0706468
"Marco Etcheverry"	0.0703747
Mathis	0.0700888
"Steve DeBerg"	0.069847
Fiedler	0.0691375
"Tony Graziani"	0.0686521
"Ray Buchanan"	0.0681975
"Chuck Smith"	0.0679994
"Kevin Jordan"	0.0679666
"O.J Santiago"	0.0678615
"Drew Bennett"	0.0673006
Asprilla	0.0671322
"Deion Sanders"	0.0666316
"Jason Elam"	0.0663348
"Mike Jones"	0.0659495
"Chris Porter"	0.0657835
"Maturino Resendiz"	0.0656097
Dawkins	0.0656029
"Bobby Newcombe"	0.0649735
"Bobby Brown"	0.0648512
Dutchmen	0.0645137
"Hu Weidong"	0.0637134
"drama critic"	0.0637124
"League of Nations"	0.0635128
"Tony Amonte"	0.0632688
"Larry Atkins"	0.0631677
Laudrup	0.0631623
Laudor	0.0630819
"Stan Collymore"	0.06307
Cabrera	0.0624858
"Jessie Tuggle"	0.0620372
"Kirk Gibson"	0.0620141
Toomer	0.0618357
"Keith Brooking"	0.0617694
Mendez	0.0616698
"Karim Abdul-Jabbar"	0.0614549
"Lawrence Phillips"	0.0610944
"Cindy Parlow"	0.0610942
Vandal	0.0610623
"Doug Gilmour"	0.0609802
Gauthe	0.0609155
"Cary Stayner"	0.0605091
"Jim Druckenmiller"	0.0603321
Barrionuevo	0.0600285
"Samaki Walker"	0.0599104
"Terry Allen"	0.0596802
"Benoit Hogue"	0.0595895
"Charles Johnson"	0.0595166
"Mateen Cleaves"	0.0594685
"Dennis Scott"	0.0593653
"Gary Brown"	0.0591846
"Jim Guy Tucker"	0.0590542
STALEY	0.0589732
"Eric Dickerson"	0.0586649
Polgar	0.0584974
Santangelo	0.0582526
Kehoe	0.0582026
"Chris Chandler"	0.0581788
"Cornelius Bennett"	0.0579332
"Jamal Anderson"	0.0578707
"Jerome Bettis"	0.0575998
Audette	0.0574705
"Champ Bailey"	0.057453
"Fred Taylor"	0.0573283
"Lester Archambeau"	0.0572962
"DeLisha Milton"	0.057224
Szczerbiak	0.057186
"Hao Haidong"	0.0569984
"Bobby Orr"	0.0569728
Veras	0.056957
Zico	0.0566864
Giacchetto	0.05668
"Buster Douglas"	0.0565064
Ismail	0.056463
"Kyle Brady"	0.0562839
"Fan Zhiyi"	0.0561787
"Raul Diaz Arce"	0.0561317
Artest	0.0560787
Galloway	0.0560166
Capel	0.05601
Duchesne	0.0559402
"Tony Battie"	0.0557911
Brisby	0.055756
"Michael Booker"	0.0557086
"Dominique Wilkins"	0.0550797
Samuelsson	0.0549972
Lieberthal	0.0549569
"Todd Harvey"	0.0549207
Irvin	0.0546517
"Khalid El-Amin"	0.054631
"Chris Warren"	0.0545753
"Ray Ferraro"	0.0544808
"Dennis Johnson"	0.0540717
"Hristo Stoichkov"	0.0540694
Salemme	0.0540454
"Walter Payton"	0.0540165
Meskini	0.0537941
Suker	0.0537929
"El Hage"	0.0537741
"Eric Cantona"	0.053729
"Jumaine Jones"	0.0536731
"Charles Woodson"	0.0536123
Hawkeyes	0.0532989
"Mary Slaney"	0.0531452
"Herschel Walker"	0.0530089
"Ron Harper"	0.0528443
Seaver	0.0525637
))
("Andre Wadsworth" (desc 2685.4) (sims
"Simeon Rice"	0.305393
"L.J Shelton"	0.296275
"Greg Ellis"	0.27813
"Ebenezer Ekuban"	0.225141
"Eric Swann"	0.218103
"Dimitrius Underwood"	0.207018
Wadsworth	0.206317
"Curtis Enis"	0.176325
"Sebastian Janikowski"	0.174163
"Courtney Brown"	0.169336
"JEVON KEARSE"	0.168479
"David Boston"	0.166767
"Mark Smith"	0.163846
"Devean George"	0.160805
"Thomas Jones"	0.159378
"Solomon Page"	0.156965
"Damien Woody"	0.156617
"Keith Brooking"	0.156339
"Rob Moore"	0.151668
"John Avery"	0.151332
"Michael Strahan"	0.151019
"Jason Taylor"	0.150886
"Patrik Stefan"	0.15082
"Charles Haley"	0.150252
"Chuck Smith"	0.146532
"Lester Archambeau"	0.144235
"John Tait"	0.142315
"Trace Armstrong"	0.14227
"Kavika Pittman"	0.141042
"Pete Holland"	0.140078
"Shawn Marion"	0.138532
"Michael Olowokandi"	0.13759
"Reggie White"	0.13527
"Robert Edwards"	0.134052
"Champ Bailey"	0.13137
"Leon Smith"	0.129869
"Michael Myers"	0.129659
"Edgerrin James"	0.128894
"Chris Claiborne"	0.127627
"Alonzo Spellman"	0.124487
"Tebucky Jones"	0.123904
"Lomas Brown"	0.123144
"Bruce Smith"	0.12304
"J.D Drew"	0.12165
"Trung Canidate"	0.120805
"Derrick Alexander"	0.120802
"Dave McGinnis"	0.119446
"Jeff Weaver"	0.117437
"Pat Burrell"	0.116322
"Warren Sapp"	0.113965
"Aeneas Williams"	0.113354
"Brandon Mitchell"	0.112646
"Dwayne Goodrich"	0.111695
"Dirk Nowitzki"	0.111298
"Al Harrington"	0.110754
"Flozell Adams"	0.110421
"Ferric Collons"	0.110104
"Jason Fabini"	0.109729
"Michael Booker"	0.109703
"John Randle"	0.107895
"Darius Miles"	0.107368
"Mark Madsen"	0.106699
"Donovan McNabb"	0.104115
"LaVar Arrington"	0.103631
"Toby Bailey"	0.102758
"J.R Redmond"	0.101747
"Andy Katzenmoyer"	0.101709
"Akili Smith"	0.101527
"Raef LaFrentz"	0.0998703
"Jose Jimenez"	0.0995911
"Chris Canty"	0.0995557
Stepanova	0.099262
"Neil Smith"	0.0965333
"Pat Garrity"	0.0961919
"Sam Adams"	0.096167
"Aaron Williams"	0.0952934
"Howie Long"	0.0947547
"Willie McGinest"	0.0934373
"Jumaine Jones"	0.09239
"Tyronn Lue"	0.0916208
"Manny Malhotra"	0.0914387
"Andre Miller"	0.0911352
"Frank Sanders"	0.0910217
"Kevin Faulk"	0.0902501
"Tim Couch"	0.0897513
"Etan Thomas"	0.0894647
"Wally Szczerbiak"	0.0881372
"Mike Brown"	0.0879661
"Paul Pierce"	0.0868832
"Mike Bibby"	0.0855126
"Ephraim Salaam"	0.085221
"Jamir Miller"	0.0844941
"Elton Brand"	0.0844493
"Tim Dwight"	0.0843111
"Torry Holt"	0.0838793
"Mario Edwards"	0.0833332
"Chad Hennings"	0.0829493
"Cade McNown"	0.0815169
"Bonzi Wells"	0.0809997
"Chad Pennington"	0.0790239
"Cortez Kennedy"	0.0783268
"Dez White"	0.0771608
"Chamique Holdsclaw"	0.076379
"Bryant Young"	0.0759095
"Travis Hall"	0.0750634
"Shane Dronett"	0.0747019
"Peter Warrick"	0.0743477
"Erubiel Durazo"	0.0741511
"Wane McGarity"	0.0738872
"Joe Smith"	0.0734858
"Antawn Jamison"	0.073315
"Jonathan Bender"	0.0730525
"Leon Lett"	0.0729584
"Ryan Leaf"	0.0728477
"Tony George"	0.0722425
"Larry Centers"	0.0715852
Underwood	0.0714583
"Brenden Morrow"	0.0711237
"Peyton Manning"	0.0710594
"Cecil Collins"	0.0701102
"Adrian Murrell"	0.0699269
"Todd Husak"	0.0697496
"Shammond Williams"	0.0693058
"Scott Gomez"	0.0684371
Bly	0.0683662
"Steve Francis"	0.0676412
Olowokandi	0.0666042
"Michael Dickerson"	0.0657358
"Derrick Thomas"	0.0651289
"Joe Thornton"	0.064929
Graziani	0.0648651
"Henry Thomas"	0.0647233
"Samaki Walker"	0.0646553
"Daunte Culpepper"	0.0643353
"Chris McAlister"	0.0639457
Burrell	0.0635419
"Baron Davis"	0.0634392
"Peerless Price"	0.0631712
"Dave Brown"	0.0630182
"Bobby Hamilton"	0.062994
"Rae Carruth"	0.0625061
Intimidator	0.0624645
"Jake Plummer"	0.0623108
"Chad Eaton"	0.0620527
"Ken Kocher"	0.0609746
"Charlie Batch"	0.0609649
"Todd MacCulloch"	0.0608114
Manning	0.0604617
"Mike Jones"	0.0598815
"Skip Hicks"	0.0596544
"Tony Simmons"	0.0595922
"Eric Davis"	0.0594263
"Kenyon Martin"	0.0592954
"Randall Simon"	0.0583394
"Manny Legace"	0.0583203
Hlavac	0.0578252
"Ron Dayne"	0.0577238
"Jason Terry"	0.0568919
"Kevin Williams"	0.0566346
"Brian Skinner"	0.056273
"Ron Mercer"	0.0561219
Kearse	0.0559413
"Antonio Langham"	0.0557806
"Jamal Lewis"	0.0557017
"Rich Brooks"	0.0552706
Nowitzki	0.0552619
"Jelani McCoy"	0.0551991
Farr	0.0549804
"Sandis Ozolinsh"	0.0549284
"Einar Diaz"	0.0546824
"Dion Glover"	0.0545841
"Alex Cora"	0.0544454
"Eric Chavez"	0.054125
"Chris Porter"	0.053703
"Byung-Hyun Kim"	0.0533793
"Kenny Thomas"	0.0527722
"Chris Weinke"	0.0521531
"Courtney Alexander"	0.0520585
"Tyrone Wheatley"	0.0519444
Mulder	0.0518509
"Ed Yarnall"	0.0516283
"Aki Berg"	0.0516246
"Randy Moss"	0.0514803
Maggette	0.0514437
"Byron Dafoe"	0.0512797
"Derrek Lee"	0.0512396
Renteria	0.0512361
"Lamar Odom"	0.0511103
"Fred Taylor"	0.0510842
"Wilton Veras"	0.0508915
"Tyler Houston"	0.0508527
"Adrian Griffin"	0.0508437
Longley	0.050436
Wendell	0.0504154
McGinnis	0.0502491
"Tom Lampkin"	0.05014
"Dana Stubblefield"	0.0500211
"Fighting Irish"	0.0499681
"Jeff George"	0.0495764
"Kenny Irwin"	0.0495044
))
(Andrea (desc 2891.26) (sims
Kristin	0.156361
Irina	0.149581
Olga	0.144702
Josephine	0.142341
alicia	0.142133
Eileen	0.138772
Suzanne	0.132673
Monique	0.132536
Stephanie	0.129913
Marlene	0.128379
Maureen	0.126
Patricia	0.125973
Jacqueline	0.124645
Rachel	0.124046
Brenda	0.123445
Vicki	0.121807
Kimberly	0.119072
Frances	0.118941
Valerie	0.118909
Sonia	0.114864
Pam	0.114125
JoAnne	0.114085
Kathleen	0.113473
Tracey	0.112904
Karenna	0.112368
Michele	0.111872
Alexandra	0.11122
Christine	0.110895
Kathy	0.110887
Michelle	0.110457
Marian	0.110396
Debbie	0.110234
Evelyn	0.109732
Juanita	0.108534
Cindy	0.108264
Diane	0.108199
Doris	0.108173
"Karenna Gore Schiff"	0.107063
Marianne	0.106822
Lisa	0.106712
Beatrice	0.106636
Brooke	0.106363
Kathryn	0.105885
Barbara	0.105028
Nora	0.105005
Julie	0.104909
Miriam	0.104816
Natalie	0.104516
Renee	0.103554
Rita	0.103092
Susan	0.102442
Erica	0.10233
Johanna	0.102086
Beverly	0.101318
Teresa	0.100828
Nina	0.100754
Elena	0.100175
Edith	0.0997052
Katherine	0.0990527
Ashley	0.0986793
Lori	0.0983963
Jennifer	0.0982972
Christina	0.0982916
Melinda	0.0982688
Audrey	0.0981197
Emily	0.0979723
Jessica	0.0977581
Linda	0.0977136
Donna	0.0973426
Marta	0.0972913
Deborah	0.0972639
Betsy	0.0968414
Cathy	0.0967129
Debra	0.0959001
Katie	0.0954312
Laura	0.0953152
Olivia	0.0945277
Polly	0.0945215
"Leigh Ann"	0.0945142
Sylvia	0.0942481
Patti	0.0939648
Peggy	0.0938431
gloria	0.0935761
Denise	0.0933356
Beth	0.0929589
Lucia	0.0922427
Jill	0.0920879
Nancy	0.0920328
Sarah	0.0916317
Jenna	0.091202
Amy	0.0910582
Carol	0.090983
Janet	0.0908128
Cherie	0.0907447
Jamie	0.0906449
Leah	0.0903496
Pauline	0.0900236
Helen	0.0899074
colleen	0.0896916
Lois	0.0896613
Shirley	0.0894717
Karen	0.0893978
Margaret	0.0889746
Judith	0.0889439
Camille	0.0883376
Samantha	0.0881332
Terri	0.0876961
Judy	0.0876226
Molly	0.0874539
Sheryl	0.0870958
Carolyn	0.0868208
Cheryl	0.0867755
Phyllis	0.086535
Jessie	0.0864112
Meg	0.0862531
Lynne	0.0861481
ANN	0.0855328
Esther	0.0851253
Paulina	0.0848209
Nicole	0.0846962
Marcia	0.0841878
Dorothy	0.0840473
Roberta	0.0830874
Martha	0.0825452
Millie	0.0824651
Liz	0.0823929
Theresa	0.0818067
Meredith	0.0817372
Lyn	0.0815011
"Caroline Kennedy Schlossberg"	0.0813356
Hannah	0.0812261
heather	0.0811555
Julia	0.0806979
Nikki	0.0806884
Lydia	0.0806249
Norma	0.0804451
becky	0.0797396
Stella	0.0797159
Lucille	0.0793766
Clara	0.0792204
Stacy	0.0789788
anna	0.0787186
Maria	0.0785147
Annie	0.0784936
Robin	0.0784895
Hadassah	0.0784017
"Azizah Ismail"	0.0782611
Marie	0.0778834
"Queen Noor"	0.0777776
Sara	0.0777582
Caroline	0.077689
Vanessa	0.0774261
Shannon	0.0773566
Janice	0.0773437
Elaine	0.0773411
Marisleysis	0.077034
Naomi	0.0768586
Rebecca	0.0767353
Jenny	0.0766603
Amanda	0.0763761
Toni	0.0762654
Dana	0.0762625
Catherine	0.0761987
Jeanne	0.075731
Damm	0.0752078
Thelma	0.0749569
Tina	0.0745627
Pamela	0.0744513
Juli	0.0743373
hazel	0.0742554
Josh	0.0738163
Alison	0.0736481
Gail	0.0735446
Andre	0.073364
Connie	0.073083
Tarango	0.0729535
Sophie	0.0727576
Sandra	0.0727546
Angela	0.0723153
Lucy	0.072272
Andrei	0.0721869
"Dave McGinnis"	0.0718506
Laurie	0.071815
Heidi	0.0718085
Anne	0.0716307
Yarmila	0.0711036
Melanie	0.070962
Sally	0.0706202
Tammy	0.0705978
Steffi	0.0704976
Brandi	0.0704431
Kate	0.0702115
"Dave Campo"	0.0699629
Gina	0.0696882
sandy	0.0690097
Erin	0.0689829
Eleanor	0.068921
Danielle	0.0685618
Claire	0.068132
Megan	0.0675868
))
("Andrea Bocelli" (desc 2919.21) (sims
"Luciano Pavarotti"	0.212397
"Shania Twain"	0.200167
"Mariah Carey"	0.167649
"GLORIA ESTEFAN"	0.166776
"Christina Aguilera"	0.152082
"Placido Domingo"	0.150244
"Whitney Houston"	0.148241
"LeAnn Rimes"	0.141865
"Tony Bennett"	0.139014
"Celine Dion"	0.137168
"Sheryl Crow"	0.136984
"Britney Spears"	0.135715
"Stevie Wonder"	0.135548
"Garth Brooks"	0.134441
"George Michael"	0.133789
"Ricky Martin"	0.132872
"Rod Stewart"	0.124922
"Eric Clapton"	0.124252
"Lauryn Hill"	0.123655
"Aretha Franklin"	0.12304
"Peter Gabriel"	0.12133
"Jessye Norman"	0.120247
"Michael Bolton"	0.11703
"Marc Anthony"	0.116632
"John Mellencamp"	0.114781
"Erykah Badu"	0.114324
"Toni Braxton"	0.113203
"Faith Hill"	0.112186
"N Sync"	0.108467
"Marvin Gaye"	0.10756
"Billy Joel"	0.10681
"Tom Jones"	0.104856
"Mary J. Blige"	0.104031
"Alanis Morissette"	0.101071
"Elton John"	0.0957725
TLC	0.0955396
"Diana Krall"	0.0949223
"Backstreet Boys"	0.09479
"Sarah McLachlan"	0.0938215
"Tina Turner"	0.0933857
"Vanessa Williams"	0.0898894
"Lou Reed"	0.0898203
Aerosmith	0.0896329
"George Strait"	0.0894576
"Tim McGraw"	0.0892796
"Trisha Yearwood"	0.0892286
"Enrique Iglesias"	0.0887632
"Janet Jackson"	0.0882056
U@	0.0879705
"Melissa Etheridge"	0.087151
"Jo Dee Messina"	0.0867176
"Barbra Streisand"	0.0865659
"Paul McCartney"	0.0855546
"Puff Daddy"	0.0852838
Cher	0.0840737
"Ray Charles"	0.0838575
"Carly Simon"	0.0838029
"Macy Gray"	0.0817508
"Elvis Costello"	0.0810432
"Dave Matthews Band"	0.0808974
Madonna	0.0805987
Santana	0.0787452
"Linda Ronstadt"	0.0773256
"R. Kelly"	0.0772403
"Audra McDonald"	0.0761762
"Kirk Franklin"	0.075763
"Phil Collins"	0.0753456
"Jimmy Buffett"	0.0747253
"Reba McEntire"	0.0730018
Babyface	0.072864
"Natalie Cole"	0.0716413
"Patti Smith"	0.071333
"Red Hot Chili Peppers"	0.0713305
"Dixie Chicks"	0.0706497
"Bonnie Raitt"	0.0690152
brandy	0.0685891
Spears	0.0677222
"Spice Girls"	0.0677115
Twain	0.0674515
"Kid Rock"	0.0665654
Billie	0.06624
"Lyle Lovett"	0.0643901
"Chuck Berry"	0.0641865
"Andy Williams"	0.0641599
Eurythmics	0.0637617
"Tom Waits"	0.0636571
Aguilera	0.062709
"Don Henley"	0.0625422
"Clint Black"	0.0624293
"Renee Fleming"	0.0619535
Selena	0.0618421
"Marco Polo"	0.0602846
Bono	0.0601613
"David Bowie"	0.0597141
"Michael Jackson"	0.0595863
"Cindy Crawford"	0.0592981
"Alan Jackson"	0.0590693
"Johnny Cash"	0.0574018
"Boston Pops"	0.0570712
"Emmylou Harris"	0.0568806
"Chrissie Hynde"	0.0568774
"Liza Minnelli"	0.0548563
"Wyclef Jean"	0.0546898
"Paul Simon"	0.0546554
Sax	0.0546508
"Jimi Hendrix"	0.0546066
"Diana Ross"	0.0545781
"Marlon Brando"	0.0541447
"James Brown"	0.0528229
"Lucinda Williams"	0.0526271
"Steely Dan"	0.0523885
crooning	0.0520108
"Jon Bon Jovi"	0.05198
"Bob Dylan"	0.0511393
"Bruce Springsteen"	0.0504008
"Rob Thomas"	0.0498997
"Jennifer Lopez"	0.0498895
Bocelli	0.0493182
"James Taylor"	0.0492955
"Rolling Stones"	0.0491402
"Tracy Chapman"	0.0488686
"Boyz II Men"	0.0485527
"Joni Mitchell"	0.0485455
"Loretta Lynn"	0.0485115
"Merle Haggard"	0.0482507
"Dwight Yoakam"	0.0473824
"Foxy Brown"	0.04691
"Bill Cosby"	0.0466564
Metallica	0.0466438
"Barenaked Ladies"	0.0461891
"Peony Pavilion"	0.0458508
"Tori Amos"	0.0458233
Yoakam	0.0458103
"LA BOHEME"	0.0457591
Fugees	0.0456984
"Willie Nelson"	0.0455465
"David Cassidy"	0.0446576
"George Jones"	0.044616
Morissette	0.0445548
"Vince Gill"	0.0445145
"meat loaf"	0.0440243
"Will Smith"	0.0440076
"Fabrizio Ravanelli"	0.0436845
Bjork	0.0436012
Eminem	0.0435934
"ballet dancer"	0.0435226
Domingo	0.0434704
"Frank Sinatra"	0.0431178
"leading lady"	0.0429292
"Limp Bizkit"	0.0428188
Otello	0.0426056
RuPaul	0.0425034
saxophone	0.0423399
Pavarotti	0.0422887
D'Angelo	0.0421472
"Kurt Cobain"	0.0421465
"Marilyn Manson"	0.0420117
"David Byrne"	0.0417987
"Lei Feng"	0.0414795
"B.B King"	0.0410691
Nat	0.0407576
"Louis Armstrong"	0.0405586
"Herbie Hancock"	0.0405425
Turandot	0.0405119
Supremes	0.0404651
"Pearl Jam"	0.0402928
"Van Morrison"	0.0401077
Messina	0.0400862
"Kenny Rogers"	0.0400504
))
("Andrea Gail" (desc 1461.5) (sims
Hunley	0.128427
Kursk	0.0931246
"ocean liner"	0.08711
self-discovery	0.0839782
"slave ship"	0.0832348
"cargo vessel"	0.0827206
"merchant ship"	0.0727677
schooner	0.0689777
"Alaska Airlines Flight @@@"	0.0687604
Manta	0.0678998
Irishmen	0.0666809
Essex	0.0659014
tugboat	0.0641967
"pirate ship"	0.0635369
Yorktown	0.0624375
ruffian	0.0621211
Atlantis	0.061693
trawler	0.0616552
freighter	0.0616422
Sayonara	0.0606822
"Luna Rossa"	0.0599292
"Airbus @@@"	0.0584635
speedboat	0.0574851
"torpedo boat"	0.0574066
collider	0.0572235
Oedipus	0.0570209
"Queen Mary"	0.0566799
powerboat	0.0563251
"chip shot"	0.055264
Orbiter	0.054979
"Andrei Babitsky"	0.0540474
buzzer-beater	0.0537509
endeavour	0.0532082
Schlichtmann	0.0530419
Hammerhead	0.052598
"Flight @@@"	0.0517519
osprey	0.0512042
ferryboat	0.0504835
"attack submarine"	0.0502733
"New Carissa"	0.0502448
"jet plane"	0.0502249
"luxury liner"	0.0484525
skiff	0.0483505
Fila	0.0482478
steamboat	0.0475151
"Mars Climate Orbiter"	0.0469061
"Madalyn Murray O'Hair"	0.0467711
"Lincoln Bedroom"	0.0464335
"shipwreck survivor"	0.0464153
battleship	0.0460811
Learjet	0.0460572
Mini-bus	0.045294
"a few kilometers"	0.045085
"Prophet Mohammed"	0.0450309
"nuclear-powered submarine"	0.0450231
"oil tanker"	0.0449849
motorboat	0.0446502
"pleasure boat"	0.0442767
"League of Nations"	0.0439143
beagle	0.0433653
"Airbus A@@@"	0.0433043
Sacagawea	0.0432493
steamer	0.0432385
distinctiveness	0.0429708
"Christopher Columbus"	0.0429672
"eight kilometers"	0.0426135
"cabin cruiser"	0.0424257
"Flight @@@@"	0.0420552
"patrol boat"	0.0418859
castoffs	0.0417868
"Hu Weidong"	0.0417791
"Mars Polar Lander"	0.0416223
"space capsule"	0.0414267
Brogna	0.0408067
"Swissair Flight @@@"	0.0407626
"Kim Perrot"	0.0406326
Weatherspoon	0.0403626
"Underground Railroad"	0.0403021
"small boat"	0.0402911
))
("Andrea Gaudenzi" (desc 3782.17) (sims
"Renzo Furlan"	0.415839
"Gianluca Pozzi"	0.413946
"Silvia Farina"	0.372482
"Davide Sanguinetti"	0.353562
"Adrian Voinea"	0.316137
"Albert Portas"	0.315791
"Richard Fromberg"	0.307514
"Magui Serna"	0.304516
"Nathalie Dechy"	0.30317
"Rita Grande"	0.298397
"Carlos Costa"	0.296224
"Magnus Gustafsson"	0.290415
"Elena Likhovtseva"	0.285099
"Naoko Sawamatsu"	0.282533
"Arnaud Di Pasquale"	0.281581
"Arnaud Clement"	0.281276
"Nicolas Escude"	0.280515
"Hernan Gumy"	0.280467
"Ai Sugiyama"	0.279556
"Mariano Puerta"	0.279384
"Sabine Appelmans"	0.279068
"Felix Mantilla"	0.277243
"Franco Squillari"	0.275032
"Judith Wiesner"	0.274441
"Christian Ruud"	0.27379
"Sergi Bruguera"	0.273585
"Sebastien Grosjean"	0.272472
"Julie Halard-Decugis"	0.271292
"Thomas Johansson"	0.271198
"Alberto Berasategui"	0.270496
"Guillaume Raoux"	0.270471
"Nicolas Kiefer"	0.270042
"Andrei Pavel"	0.269981
"Anne Kremer"	0.269382
"Magdalena Maleeva"	0.268961
"Sarah Pitkowski"	0.268219
"Galo Blanco"	0.267592
"Jerome Golmard"	0.267387
"Florencia Labat"	0.26692
"Kenneth Carlsen"	0.265847
"Sjeng Schalken"	0.265325
"Magnus Norman"	0.264698
"Fernando Meligeni"	0.263407
"Jonas Bjorkman"	0.263151
"Dominique Van Roost"	0.260152
"Anke Huber"	0.259472
"Sargis Sargsian"	0.259331
"Tamarine Tanasugarn"	0.258607
"Diego Nargiso"	0.258364
"Tatiana Panova"	0.256021
"Paul Haarhuis"	0.255493
"Barbara Paulus"	0.254276
"Younes El Aynaoui"	0.254113
"Li Fang"	0.253958
"Francisco Clavet"	0.253882
"Anne-Gaelle Sidot"	0.253614
"Juan Antonio Marin"	0.252896
"David Prinosil"	0.252686
"Nicole Pratt"	0.252062
"Leander Paes"	0.252031
"Ruxandra Dragomir"	0.25189
"Jeff Tarango"	0.251753
"Lisa Raymond"	0.250968
"Mikael Tillstrom"	0.248388
"Vincent Spadea"	0.247778
"Rainer Schuttler"	0.247228
"Natasha Zvereva"	0.246458
"Arnaud Boetsch"	0.246354
"Sandrine Testud"	0.244886
"Jason Stoltenberg"	0.244179
"Marcelo Filippini"	0.244139
"Irina Spirlea"	0.24397
"Xavier Malisse"	0.243639
"Thomas Enqvist"	0.243627
"Scott Draper"	0.242263
"Marc Rosset"	0.242254
"Chanda Rubin"	0.241784
"Grant Stafford"	0.241763
"Mariano Zabaleta"	0.241547
"Byron Black"	0.240631
"Daniel Nestor"	0.240416
"Karim Alami"	0.240135
"Ramon Delgado"	0.238522
"Brett Steven"	0.237803
"Wayne Ferreira"	0.237643
"Patty Schnyder"	0.237578
"Asa Carlsson"	0.237074
"Hicham Arazi"	0.236446
"Javier Sanchez"	0.236039
"Olga Barabanschikova"	0.234965
"Cedric Pioline"	0.234715
"Yayuk Basuki"	0.23388
"Neville Godwin"	0.233372
"Andreas Vinciguerra"	0.233331
"Sebastien Lareau"	0.233064
"Miriam Oremans"	0.232554
"Thomas Muster"	0.23254
"Andrei Medvedev"	0.232443
"Fabrice Santoro"	0.231392
"Dominik Hrbaty"	0.231015
"Tommy Haas"	0.228684
"Amy Frazier"	0.228309
"Mark Philippoussis"	0.227686
"Todd Woodbridge"	0.227511
"Slava Dosedel"	0.226973
"Conchita Martinez"	0.226591
"Brenda Schultz-McCarthy"	0.224196
"Filip Dewulf"	0.224024
"Catalina Cristea"	0.223761
"Alberto Costa"	0.222024
"Joannette Kruger"	0.221692
"Alexandra Fusai"	0.221186
"Marat Safin"	0.220578
"Wayne Black"	0.220564
"Cara Black"	0.220423
"MaliVai Washington"	0.220096
"Iva Majoli"	0.219831
"Mark Woodforde"	0.218424
"Kimiko Date"	0.218397
"Nicklas Kulti"	0.216529
"Andrew Ilie"	0.216257
"Andres Gomez"	0.216216
"Barbara Schett"	0.215472
"Albert Costa"	0.215096
"Amelie Mauresmo"	0.215067
"Greg Rusedski"	0.215044
Gaudenzi	0.214925
"Julian Alonso"	0.214363
"Carlos Moya"	0.214311
"Todd Martin"	0.213829
"Elena Dementieva"	0.21382
"Michael Chang"	0.213316
"Nathalie Tauziat"	0.21321
"Els Callens"	0.212512
"Steve Campbell"	0.212508
"Richey Reneberg"	0.212255
"Magnus Larsson"	0.211933
"Michael Tebbutt"	0.211514
"Jim Courier"	0.210965
"Kim Clijsters"	0.210458
"Amanda Coetzer"	0.210426
"Mark Knowles"	0.209859
"Richard Krajicek"	0.20959
"Gustavo Kuerten"	0.208491
"Arantxa Sanchez Vicario"	0.206784
"Mary Joe Fernandez"	0.205175
"Paola Suarez"	0.20425
"Nicolas Lapentti"	0.203799
"Karol Kucera"	0.20314
"Tim Henman"	0.20307
"Marcelo Rios"	0.202374
"Mary Pierce"	0.201763
"Tara Snyder"	0.201185
"Kveta Hrdlickova"	0.199045
"Jan-Michael Gambill"	0.198953
"Arantxa Sanchez-Vicario"	0.197372
"Vince Spadea"	0.19727
"Kristie Boogert"	0.196777
"Marcos Ondruska"	0.196398
"Roger Federer"	0.19629
"Bohdan Ulihrach"	0.196277
"Chris Woodruff"	0.195988
"Daniel Vacek"	0.195854
"Alex Corretja"	0.19482
"Mahesh Bhupathi"	0.194183
Siemerink	0.193834
"Max Mirnyi"	0.192325
"Juan Carlos Ferrero"	0.191658
"Goran Ivanisevic"	0.19075
"Kimberly Po"	0.189764
"Patrick Rafter"	0.189231
"Petr Korda"	0.189099
"Jelena Dokic"	0.188091
"John Van Lottum"	0.187782
"Jonathan Stark"	0.187644
"Prada Challenge"	0.187197
"Wayne Arthurs"	0.18636
"Alex O'Brien"	0.185955
"American Todd Martin"	0.184961
"Jiri Novak"	0.184028
"Monica Seles"	0.183931
"Corina Morariu"	0.18349
"Barbara Rittner"	0.18242
"Pat Rafter"	0.179804
"Peter Nicol"	0.179784
"Yevgeny Kafelnikov"	0.17942
"Karina Habsudova"	0.176898
"Justin Gimelstob"	0.176512
"Mirjana Lucic"	0.175327
Kroslak	0.174625
"Isolde Kostner"	0.17462
"Gong Zhichao"	0.174493
"Michael Stich"	0.172086
"Jennifer Capriati"	0.171767
"Martin Damm"	0.171453
"Boris Becker"	0.17
"Lindsay Davenport"	0.169527
"Guy Forget"	0.169497
"Lleyton Hewitt"	0.169037
"Serena Williams"	0.168878
"Jana Novotna"	0.16662
"Russian Yevgeny Kafelnikov"	0.166574
"Australian Mark Philippoussis"	0.165904
"Henrieta Nagyova"	0.164651
"American Chanda Rubin"	0.164248
"Max Biaggi"	0.163628
"Stefan Edberg"	0.16239
"Steffi Graf"	0.160723
"Ye Zhaoying"	0.159874
"Barbara Schwartz"	0.158925
"Kinder Bologna"	0.154602
Dragomir	0.153742
"Martina Hingis"	0.153715
"Anna Kournikova"	0.153676
"Xia Xuanze"	0.152906
"Rodney Eyles"	0.150887
"Dennis van Scheppingen"	0.149943
Stoltenberg	0.149348
"Vladimir Samsonov"	0.147388
"Jacco Eltingh"	0.147347
"American Lindsay Davenport"	0.145616
"Rika Hiraki"	0.145484
"Fung Permadi"	0.145316
"Mario Cipollini"	0.144555
Swardt	0.144141
Testud	0.143653
"Andre Agassi"	0.143213
"Denisa Chladkova"	0.142266
"Venus Williams"	0.141875
Halard-Decugis	0.140615
"Lori McNeil"	0.14006
"Adriana Gersi"	0.13949
"Pete Sampras"	0.138787
Schalken	0.138617
Ulihrach	0.138463
"Fiona May"	0.138038
"Ong Ewe Hock"	0.135746
"Mats Wilander"	0.134794
"South African Amanda Coetzer"	0.134478
"Michele Bartoli"	0.134323
"Peter Rasmussen"	0.132922
"Liu Guoliang"	0.13178
"American Pete Sampras"	0.130344
"Olivier Delaitre"	0.129959
Mantilla	0.129289
"Camilla Martin"	0.129128
Coetzer	0.128189
Kafelnikov	0.128012
"Peter Gade Christensen"	0.127902
"Dai Yun"	0.126416
"Joko Suprianto"	0.125682
Enqvist	0.12543
"Alexandra Stevenson"	0.124653
Mauresmo	0.124229
Hendrawan	0.124098
"Wang Nan"	0.124051
"Janet Lee"	0.123914
"Deborah Compagnoni"	0.123822
Kucera	0.122493
"Paul Goldstein"	0.121591
Kuerten	0.121474
"DON JOHNSON"	0.119768
"Sandon Stolle"	0.1196
"Colo Colo"	0.118763
"Wang Liqin"	0.117724
"Kong Linghui"	0.117571
Berasategui	0.117529
"Wang Shi-Ting"	0.117398
"Li Ju"	0.117337
Pioline	0.117272
"Wang Chen"	0.117206
Majoli	0.116909
"Helena Sukova"	0.116805
Zamalek	0.116799
Nacional	0.11654
"Partizan Belgrade"	0.115239
Prinosil	0.115141
"Alberto Tomba"	0.114053
Sugiyama	0.113818
"Zhang Ning"	0.113737
"Van Roost"	0.113307
Edberg	0.112749
"American Andre Agassi"	0.112748
Bjorkman	0.112442
Corretja	0.11215
"Jansher Khan"	0.11209
Moya	0.111075
"American Michael Chang"	0.110703
"Mia Audina"	0.110503
Meligeni	0.110337
"Gong Ruina"	0.11017
Woodforde	0.109994
Spadea	0.109802
Ivanisevic	0.109643
"Susi Susanti"	0.109451
Hrbaty	0.109132
Seles	0.109058
Henman	0.108916
"Francesco Casagrande"	0.108762
Anderlecht	0.108738
Rusedski	0.108685
Gustafsson	0.108089
rios	0.107641
"Dong Jiong"	0.107477
Dosedel	0.106474
"Briton Greg Rusedski"	0.104718
Bruguera	0.104671
Safin	0.104302
"Inter Milan"	0.104286
Sanchez-Vicario	0.103748
"Renato Ruggiero"	0.10307
Likhovtseva	0.102814
"Yang Ying"	0.102688
Novotna	0.102416
Haarhuis	0.101873
Capriati	0.101826
Schett	0.101726
"Katarina Studenikova"	0.10166
Korda	0.101444
"Slavia Prague"	0.101442
"Taufik Hidayat"	0.101253
"Sanchez Vicario"	0.101118
"Guangdong Hongyuan"	0.100295
Krajicek	0.100181
))
(Andreas (desc 2134.84) (sims
Carneal	0.101869
Valdez	0.0923202
Koh	0.086829
Dorsey	0.0862814
Capano	0.0821755
Skakel	0.0819393
Camdessus	0.0810624
Barrymore	0.080352
Reyes	0.0780233
Bowers	0.0760761
Barrionuevo	0.0747731
Martorano	0.0744456
Gardiner	0.0727729
Abernathy	0.0701403
Murayama	0.0696422
Khalil	0.0693361
Nichols	0.0681494
Sato	0.068006
Manuel	0.0679518
Marcia	0.0665983
Gaston	0.0664829
Curtis	0.0662378
kor	0.0660478
Berlusconi	0.0654664
Brownlee	0.0654056
Imelda	0.0653437
Trevor	0.0645576
Hamid	0.0638579
McVeigh	0.0632885
Ilie	0.0629966
"Imelda Marcos"	0.0628432
Spirlea	0.0619915
O'Malley	0.061974
Haskins	0.0619443
"Aryeh Deri"	0.0614417
Checchi	0.0604997
Salinas	0.0603612
Berenson	0.0599574
Hamzah	0.0598496
Theodore	0.0597035
Akayesu	0.0595669
Bradshaw	0.0593303
Nano	0.0592499
Beckwith	0.0589118
chun	0.0580857
Nicolas	0.0580602
Gotti	0.057966
Crocker	0.0577779
Masire	0.0569613
Laudor	0.0568088
Karbaschi	0.0567389
Kirk	0.0567315
Chan	0.0566249
Halloran	0.0565496
Zvereva	0.0561837
Gwen	0.0561203
Blanton	0.0560749
Nouri	0.0559799
Bowman	0.0559596
Bingham	0.0558947
Larsen	0.0558209
McDuff	0.055664
Passarella	0.0555668
Marc	0.0555082
Marcos	0.0553615
"Michael Skakel"	0.0552419
Aris	0.0552079
Whitacre	0.0551436
Rosario	0.0551357
"Michel Camdessus"	0.0551012
Gerald	0.0545576
O'Neil	0.0544727
Deri	0.0544334
Machado	0.0543101
Lacresha	0.0542218
Markhasev	0.0542046
Mick	0.0541517
ter	0.0539691
Ronald	0.0539685
Strauss-Kahn	0.0538686
Francois	0.0538346
Scripps	0.0538103
Faison	0.0531744
"Jim Leyland"	0.053168
Schwarz	0.0528818
Torres	0.0527802
ROMNEY	0.0527423
Slater	0.052623
Michele	0.0523438
Bonanno	0.0523281
Brett	0.0522551
Claude	0.0519598
Symington	0.0519574
Neff	0.0516533
Cooke	0.0515931
Lyons	0.0515697
Marineau	0.0514743
Protas	0.0514412
Romer	0.0514189
Lorenzo	0.05136
Muir	0.0513069
Einhorn	0.0512903
Nguyen	0.0511664
Gadhafi	0.0511053
Havelange	0.0510769
Greenwald	0.0508851
Jelisic	0.0507521
Byers	0.0506869
Donahue	0.0506537
KEVORKIAN	0.0505985
Ciampi	0.0505154
Bogle	0.0504597
Sebaggala	0.0502657
Shulman	0.0502575
Holmes	0.0500313
timothy	0.0499865
Ivester	0.0499268
Waigel	0.0496226
Walton	0.0496086
Singson	0.0494875
Blackthorne	0.0494873
"Renato Ruggiero"	0.0494372
Bates	0.0492835
Demps	0.0491487
Ruehe	0.0491036
Duisenberg	0.0490349
Daley	0.0489569
Bhutto	0.0489342
Mullins	0.0489319
Matthews	0.048814
Huggins	0.0487947
Conley	0.0487537
"Maturino Resendiz"	0.0486214
Luo	0.0484566
McCaw	0.0483576
Todd	0.0482892
Amedure	0.0482372
Rawlings	0.0481585
Gabriel	0.0479662
FitzPatrick	0.0477025
Priebke	0.047699
Middleton	0.0476774
McAllister	0.0476481
Bhattarai	0.0476169
Fuhrman	0.0476073
Adair	0.0474784
Lugo	0.0473929
Neagle	0.047238
Schmitz	0.0471896
hale	0.0470875
Fernandes	0.0470677
Jerry	0.0470464
Takeshita	0.0470201
Schneider	0.046992
his/her	0.0469253
franklin	0.0468503
Mario	0.0468095
Powers	0.0467961
McKinley	0.0467309
Schaeuble	0.0467164
Shriver	0.0467102
Rideau	0.046645
Nunn	0.046533
Bronfman	0.0465161
Mease	0.0464976
Samaranch	0.0464892
brook	0.0462709
Lloyd	0.0462226
Knowles	0.0462092
Stroganoff	0.046188
Amir	0.0461487
Gerard	0.0459564
Brennan	0.0457555
Theo	0.0457533
"Jeb Bush"	0.0457174
Solomon	0.0456716
Suarez	0.0455985
Fernando	0.0455221
"Gianni Versace"	0.0454791
Bruce	0.0454581
Gutman	0.045428
Prabowo	0.0453995
Wendt	0.0452917
Carl	0.0452632
Hazelwood	0.0452182
Rashid	0.0452149
Simons	0.0452012
Wharton	0.0451885
"Thurgood Marshall"	0.0450939
Ebersol	0.0450676
Schaffer	0.0450675
Ono	0.0450156
Raduyev	0.044945
Jeb	0.0448905
"Yigal Amir"	0.0448893
Curley	0.0448694
Maher	0.0448692
Goldstein	0.0448538
Kremer	0.0447501
Sacco	0.0446868
))
("Andreas Moeller" (desc 1530.24) (sims
"Thomas Haessler"	0.238187
"Lothar Matthaeus"	0.190171
"Dejan Stankovic"	0.157878
"Hidetoshi Nakata"	0.15008
"Carlos Valderrama"	0.140511
"Juergen Klinsmann"	0.131859
"Paul Ince"	0.123145
"Steve McManaman"	0.123095
"Tab Ramos"	0.119356
Hagi	0.111474
"Gheorghe Hagi"	0.110954
"Claudio Reyna"	0.107695
"Robert Prosinecki"	0.104597
Heinrich	0.104276
"Christian Karembeu"	0.101911
"Leonel Alvarez"	0.100323
Klinsmann	0.0998571
"Ben Olsen"	0.094702
"Dejan Savicevic"	0.0933109
"John Collins"	0.0928025
"Didier Deschamps"	0.0922952
"Zvonimir Boban"	0.0905914
Bierhoff	0.0876148
"Oliver Bierhoff"	0.0856924
"Frankie Hejduk"	0.0856438
Dunga	0.0855235
"Mauricio Cienfuegos"	0.084875
"Ali Daei"	0.084476
"Hristo Stoichkov"	0.0821813
"Kristine Lilly"	0.080902
"Michael Laudrup"	0.0801164
"Diego Simeone"	0.0798874
Juninho	0.0795961
Sissi	0.0777512
"Emmanuel Petit"	0.0772784
"Edgar Davids"	0.0768957
"Fan Zhiyi"	0.0762558
"Robert Jarni"	0.076064
"Hu Weidong"	0.0759635
Denilson	0.0756539
Rivaldo	0.075399
"Michelle Akers"	0.0748752
"Phillip Cocu"	0.0745436
"Mauricio Ramos"	0.0704502
"Ronald de Boer"	0.0697857
"Dino Baggio"	0.0695417
"Robert Pires"	0.0694765
"Ariel Ortega"	0.0680539
"Paul Merson"	0.0678211
"Nwankwo Kanu"	0.0674941
"David Beckham"	0.0670035
libero	0.0659738
"Cesar Sampaio"	0.065712
"Paul Scholes"	0.065651
"Julie Foudy"	0.0655867
"Paul Gascoigne"	0.0655236
"Marco Etcheverry"	0.0650609
"Hao Haidong"	0.0650154
Nivel	0.064691
Djorkaeff	0.0646532
"Herb Williams"	0.0643645
"Luigi Di Biagio"	0.0640874
"Luis Figo"	0.0636053
"John Harkes"	0.0631969
"Clint Mathis"	0.0625814
"Andy Williams"	0.0615172
"Ian Wright"	0.0614825
"Trace Armstrong"	0.061084
Jair	0.0606651
"Fernando Hierro"	0.0597204
Vogts	0.0591073
"Harry Kewell"	0.0589958
"Roberto Baggio"	0.0585874
Atletico	0.0584064
"Cobi Jones"	0.057498
"Patrick Vieira"	0.0571543
"Werder Bremen"	0.055922
"Clarence Seedorf"	0.0556206
"Amy van Dyken"	0.0556032
"Adrian Ilie"	0.0554098
"Mario Stanic"	0.0552812
"Ulf Kirsten"	0.0552565
"Wang Tao"	0.054648
"Eddie Lewis"	0.0540418
"Zinedine Zidane"	0.053851
"Charlie Williams"	0.053795
"Jim Harbaugh"	0.0531104
Romario	0.0528009
"Dale Ellis"	0.0525914
"John Salley"	0.0519936
"Dale Hunter"	0.0516957
"Youri Djorkaeff"	0.0515606
Bergkamp	0.0513928
"Heike Drechsler"	0.0513394
"Terry Cummings"	0.0511939
"Rashid Sidek"	0.0505553
"Chris Mullin"	0.0504312
"Russ Johnson"	0.0500152
"Cliff Ronning"	0.0496809
"Kazuhiro Sasaki"	0.0493052
"Greg Adams"	0.0488461
Emerson	0.0486296
"Terry Porter"	0.0481009
Leonardo	0.0480453
"Dennis Martinez"	0.0477391
"Joe Kleine"	0.0474424
"Roy Keane"	0.0469962
"Erik Kramer"	0.0455582
Gustafsson	0.0447716
Giovanni	0.0445916
Golota	0.0445005
"Shannon Miller"	0.0441351
"Grant Fuhr"	0.0434049
"Ivan Zamorano"	0.0433555
"Carlos Santana"	0.0430399
"Bixente Lizarazu"	0.0429041
"Merlene Ottey"	0.0425593
"Garry Galley"	0.0424918
"Trent Green"	0.0424333
"Craig Ludwig"	0.0423963
"A.C. Green"	0.0423547
"Doug Pederson"	0.0422227
Bismarck	0.0420927
"Dave Hansen"	0.0419834
"Mark Leiter"	0.0417255
"Jeff Brantley"	0.0416666
Bebeto	0.0415576
"Patrick Kluivert"	0.0414558
Sakic	0.0412428
sweeper	0.0411461
"Darrell Green"	0.0411359
"Orel Hershiser"	0.0408355
"Tim Raines"	0.0408112
Taufik	0.0407675
"Mike Burns"	0.0407513
"Predrag Mijatovic"	0.0405555
Baggio	0.0404431
"Yu Zhuocheng"	0.0403504
sherpa	0.0402486
"Tiffeny Milbrett"	0.0401944
))
("Andreas Papandreou" (desc 1160.29) (sims
"Fatos Nano"	0.184256
"Felipe Gonzalez"	0.178284
"Tansu Ciller"	0.164167
"Lee Kuan Yew"	0.161428
"Viktor Orban"	0.160727
"Vladimir Meciar"	0.15799
"P.V Narasimha Rao"	0.154935
"Menachem Begin"	0.150719
"Krishna Prasad Bhattarai"	0.139994
"Necmettin Erbakan"	0.139802
"Tomiichi Murayama"	0.136788
"Lamberto Dini"	0.136712
"Gulbuddin Hekmatyar"	0.135088
"Noboru Takeshita"	0.133608
"Bill Skate"	0.131379
"Milos Zeman"	0.130258
"Deve Gowda"	0.129851
"Yitzhak Rabin"	0.129848
"Chavalit Yongchaiyudh"	0.128645
"Radu Vasile"	0.12665
Arrives	0.125897
"Silvio Berlusconi"	0.125014
"Lokendra Bahadur Chand"	0.124364
"Zhou Enlai"	0.122961
"H.D Deve Gowda"	0.122936
"Begum Khaleda Zia"	0.120532
"Kim Il Sung"	0.119942
"Milorad Dodik"	0.118683
"Vaclav Klaus"	0.117951
"Alexander Shokhin"	0.117378
"Costas Simitis"	0.116712
"Tony Coelho"	0.115723
"Laurent Fabius"	0.114904
"David Levy"	0.114836
"Pascoal Mocumbi"	0.113674
"Vo Van Kiet"	0.113073
"Mikulas Dzurinda"	0.112928
Dudayev	0.111789
"Khaleda Zia"	0.111521
"Fayez Tarawneh"	0.111411
"John Major"	0.110281
Harmoko	0.109942
"Rafik Hariri"	0.109674
"Romano Prodi"	0.109501
Koirala	0.109289
Bhattarai	0.108403
"Sergei Kiriyenko"	0.107901
"Norodom Ranariddh"	0.10771
"Alain Juppe"	0.107637
"Sani Abacha"	0.107409
"Keizo Obuchi"	0.106687
"Victor Chernomyrdin"	0.106426
"I.K Gujral"	0.10577
"Rajiv Gandhi"	0.105122
"Ayatollah Khomeini"	0.10468
"Shimon Peres"	0.101582
"Valery Pustovoitenko"	0.0997994
"Mesut Yilmaz"	0.0989492
"Paul Keating"	0.0967238
"King Hassan II"	0.0960995
"Benazir Bhutto"	0.0958082
"Ron Brown"	0.0954067
"Mahendra Chaudhry"	0.0949215
Khomeini	0.094551
"Ferdinand Marcos"	0.0944062
"Tim Fischer"	0.0935536
"Ryutaro Hashimoto"	0.0911463
"Omar Torrijos"	0.0910205
"Helen Clark"	0.0909382
"Momir Bulatovic"	0.0906093
"Bulent Ecevit"	0.0901843
"Vincent Foster"	0.0898714
Cowens	0.0892719
"Francisco Franco"	0.0889976
"Abdollah Nouri"	0.0888721
Nkomo	0.088862
Chand	0.0886378
"Abdul Salam Majali"	0.0883644
"Margaret Thatcher"	0.0883381
"Bob Bullock"	0.088294
"Ayatollah Ruhollah Khomeini"	0.0879375
"Sher Bahadur Deuba"	0.0872562
"Cardinal John O'Connor"	0.0870996
"Kim Perrot"	0.0861713
"Indira Gandhi"	0.0854737
"Frank Joklik"	0.0847912
"Ivan Kostov"	0.0845934
"Bobby Phills"	0.0841238
"Aryeh Deri"	0.0829899
"Yitzhak Mordechai"	0.0826542
"Sheikh Ahmed Yassin"	0.0820043
"Leon Hess"	0.0818852
gyro	0.0818486
"Inder Kumar Gujral"	0.0818077
"Robert E. Rubin"	0.0817405
"David Koresh"	0.080649
"Ung Huot"	0.0791169
"Moshood Abiola"	0.0786083
"Salim Hoss"	0.0779024
"Antonio Guterres"	0.0776319
"Helmut Kohl"	0.0775831
Rawabdeh	0.0773503
"Yossi Sarid"	0.0765592
"Reggie Lewis"	0.0763737
"Carl Bildt"	0.0762595
"John Kennedy Jr."	0.0755913
"Pakalitha Mosisili"	0.0755269
"Tom Osborne"	0.0755267
"King Hassan"	0.0755048
"Bertie Ahern"	0.0751018
"Walter Payton"	0.0741775
"Nur Misuari"	0.0733931
"traveling salesman"	0.0732216
"Carmen Policy"	0.0731946
"Hafez Assad"	0.0731775
"Jenny Shipley"	0.0731047
"Vuk Draskovic"	0.0728841
"Welfare Party"	0.0726924
Simitis	0.0724533
"Chuan Leekpai"	0.072362
Thapa	0.0722071
"Boris Yeltsin"	0.0721031
drachma	0.0720945
"Meles Zenawi"	0.0714241
"Wlodzimierz Cimoszewicz"	0.0710462
"Moammar Gadhafi"	0.0705122
"Pol Pot"	0.0703776
"Ted Hughes"	0.0703339
"Pauline Hanson"	0.0700901
Penders	0.0698472
"Jose Maria Aznar"	0.0696683
"Tupac Shakur"	0.069589
"Sergei Stepashin"	0.0695461
Erbakan	0.0694947
"David Sibandze"	0.0693664
"Bashkim Fino"	0.0690821
"Mark Tuinei"	0.0688806
sociopath	0.0683851
"Derrick Thomas"	0.0682344
"Kiichi Miyazawa"	0.0682276
"Lawton Chiles"	0.0680965
"Lou Dobbs"	0.0679535
"Zou Jiahua"	0.067749
"Vojislav Seselj"	0.0676691
"Ho Chi Minh"	0.0675108
"Abdul Karim Kabariti"	0.067148
Papandreou	0.0670317
"Boris Nemtsov"	0.0670275
"Renato Ruggiero"	0.0669574
stuntman	0.0666401
"Dave Cowens"	0.0663927
"Juan Antonio Samaranch"	0.0662998
Rao	0.066292
"Mikhail Kasyanov"	0.066222
Coia	0.0661847
"Robert Shaw"	0.0660682
"Phan Van Khai"	0.0658522
"Julius Nyerere"	0.0654972
"Tareq Aziz"	0.0651929
"Bizima Karaha"	0.0649233
"Natan Sharansky"	0.0648682
"Yuri Maslyukov"	0.0645012
"Michael Kennedy"	0.0642951
"Bank of Japan Ltd."	0.0637917
"air force officer"	0.0637306
"Florence Griffith Joyner"	0.063642
"William Randolph Hearst"	0.0633197
"Barry Switzer"	0.0632102
"Michael Moore"	0.0631778
"Kim Yong Nam"	0.0630252
"Joerg Haider"	0.0629306
"State Law and Order Restoration Council"	0.0628504
"Jim Guy Tucker"	0.0627639
"Franjo Tudjman"	0.0627426
Spyridon	0.0627133
"Jerry Garcia"	0.062499
"President Lee Teng-hui"	0.0624111
serviceman	0.062232
"Seamus Mallon"	0.0621357
Sanan	0.0618421
Gujral	0.0616856
"Kenny Irwin"	0.0613938
"President Hafez Al-Assad"	0.0613484
"Bobby Newcombe"	0.0607598
"Alexander Lebed"	0.0601945
"Sonny Bono"	0.0601673
"Islamic Welfare Party"	0.060142
watchman	0.0599539
Barad	0.0599347
"Ariel Sharon"	0.0598883
Banharn	0.0596642
"Wolfgang Schuessel"	0.0595945
"Jerzy Buzek"	0.0591454
Archimedes	0.0588044
"Adam Petty"	0.0587101
"Phil Simms"	0.0586283
"Matthew Eappen"	0.0583059
"Sali Berisha"	0.0582707
"Howard Baker"	0.0578871
"Rick Neuheisel"	0.0577433
))
("Andreas Vinciguerra" (desc 1455.61) (sims
"Asa Carlsson"	0.484402
"Mikael Tillstrom"	0.376658
"Franco Squillari"	0.358054
"Hernan Gumy"	0.357173
"Albert Portas"	0.356638
"Ramon Delgado"	0.354512
"Arnaud Di Pasquale"	0.353256
"Mariano Puerta"	0.351939
"Magnus Gustafsson"	0.351788
"Nathalie Dechy"	0.348495
"Vincent Spadea"	0.345297
"Kim Clijsters"	0.341415
"Rainer Schuttler"	0.339275
"Joannette Kruger"	0.333827
"Mariano Zabaleta"	0.333595
"Sarah Pitkowski"	0.332138
"Magui Serna"	0.331852
"Catalina Cristea"	0.33184
"Roger Federer"	0.329618
"Anne Kremer"	0.324765
"Sabine Appelmans"	0.323613
"Andrew Ilie"	0.321809
"Francisco Clavet"	0.321802
"Tatiana Panova"	0.320878
"Marcelo Filippini"	0.320244
"Younes El Aynaoui"	0.320065
"Nicolas Escude"	0.310611
"Tara Snyder"	0.308807
"Xavier Malisse"	0.308807
"Richard Fromberg"	0.308685
"Adrian Voinea"	0.306658
"Arnaud Clement"	0.306215
"Juan Antonio Marin"	0.30506
"Neville Godwin"	0.304649
"Kenneth Carlsen"	0.299638
"Arnaud Boetsch"	0.296597
"Naoko Sawamatsu"	0.296334
"Grant Stafford"	0.295939
"Sebastien Grosjean"	0.294606
"Christian Ruud"	0.293907
"Nicole Pratt"	0.293352
"Florencia Labat"	0.292617
"Olga Barabanschikova"	0.292386
"Carlos Costa"	0.29037
"Paola Suarez"	0.29029
"Silvia Farina"	0.290007
"Magdalena Maleeva"	0.288536
"Magnus Larsson"	0.286285
"Nicklas Kulti"	0.28625
"Andrei Pavel"	0.285858
"Miriam Oremans"	0.285714
"Steve Campbell"	0.284288
"Marcos Ondruska"	0.283322
"Karim Alami"	0.280241
"Thomas Johansson"	0.280088
"Jeff Tarango"	0.279263
"Cara Black"	0.278638
"Barbara Rittner"	0.27804
"Fernando Meligeni"	0.275636
"Mats Wilander"	0.273242
"Alexandra Fusai"	0.27321
"Javier Sanchez"	0.273064
"Jerome Golmard"	0.272703
"Amy Frazier"	0.2724
"Davide Sanguinetti"	0.272257
"Galo Blanco"	0.270643
"Judith Wiesner"	0.266905
"Anne-Gaelle Sidot"	0.264934
"Sargis Sargsian"	0.263494
"Elena Dementieva"	0.26244
"Guillaume Raoux"	0.262368
"Renzo Furlan"	0.262049
"Kristie Boogert"	0.262022
"Ruxandra Dragomir"	0.261531
"Julian Alonso"	0.260709
"Michael Tebbutt"	0.259477
"Sjeng Schalken"	0.259101
"Alberto Berasategui"	0.257847
"Yayuk Basuki"	0.256902
"Juan Carlos Ferrero"	0.256627
"Tamarine Tanasugarn"	0.255774
"Magnus Norman"	0.255654
"Jonas Bjorkman"	0.255397
"Fabrice Santoro"	0.254685
"Stefan Edberg"	0.254186
"Max Mirnyi"	0.253353
"Elena Likhovtseva"	0.252037
"Daniel Nestor"	0.251252
"Gianluca Pozzi"	0.251082
"Jonathan Stark"	0.250358
"Rita Grande"	0.249312
"Hicham Arazi"	0.249015
"Richey Reneberg"	0.24791
"Mirjana Lucic"	0.246446
"Filip Dewulf"	0.24617
"Scott Draper"	0.245783
"Thomas Enqvist"	0.243497
"Corina Morariu"	0.24103
"Jan-Michael Gambill"	0.237718
"Els Callens"	0.237256
"Barbara Paulus"	0.235557
"Andrei Medvedev"	0.235549
"David Prinosil"	0.234897
"Sebastien Lareau"	0.233658
"Andrea Gaudenzi"	0.233331
"Barbara Schwartz"	0.233121
"Justin Gimelstob"	0.232371
"Ai Sugiyama"	0.230417
"Chris Woodruff"	0.229374
"Chanda Rubin"	0.229068
"Todd Woodbridge"	0.226658
"Brett Steven"	0.225911
"Jason Stoltenberg"	0.224352
"Kveta Hrdlickova"	0.223232
"Marat Safin"	0.221733
"Paul Haarhuis"	0.221616
"Leander Paes"	0.221008
"Marc Rosset"	0.22063
"Dominique Van Roost"	0.220112
"Wayne Black"	0.217073
"Lisa Raymond"	0.216825
"Janet Lee"	0.216122
"Jelena Dokic"	0.216084
"Nicolas Lapentti"	0.21606
"Felix Mantilla"	0.215125
"Natasha Zvereva"	0.21472
"Paul Goldstein"	0.214132
"Amelie Mauresmo"	0.213042
"MaliVai Washington"	0.212918
"Tommy Haas"	0.212633
"Mark Knowles"	0.212465
"Brenda Schultz-McCarthy"	0.210594
"Patty Schnyder"	0.210398
"Vince Spadea"	0.208482
"Sandrine Testud"	0.20422
"Nicolas Kiefer"	0.20404
"Mark Woodforde"	0.203101
"Byron Black"	0.202362
"Alberto Costa"	0.201415
"Sergi Bruguera"	0.200683
"Irina Spirlea"	0.199999
"Li Fang"	0.198556
"Jorgen Persson"	0.197972
"Mahesh Bhupathi"	0.196773
"Kimberly Po"	0.195445
"Wayne Ferreira"	0.194739
"Andres Gomez"	0.194611
"Bjorn Borg"	0.193224
"Rika Hiraki"	0.19252
"Henrieta Nagyova"	0.19214
"John Van Lottum"	0.191992
"Barbara Schett"	0.190717
"Alex O'Brien"	0.189543
"Bohdan Ulihrach"	0.189303
"Wayne Arthurs"	0.188654
"Slava Dosedel"	0.18847
"Guy Forget"	0.185982
"Karina Habsudova"	0.185858
"Jiri Novak"	0.185459
"Julie Halard-Decugis"	0.185031
"Dominik Hrbaty"	0.184299
"Albert Costa"	0.183275
"Mary Joe Fernandez"	0.18259
"Adriana Gersi"	0.182272
"Jennifer Capriati"	0.181175
"Lleyton Hewitt"	0.180332
"Olivier Delaitre"	0.180225
Swardt	0.179519
"Alexandra Stevenson"	0.177408
"Jan-Ove Waldner"	0.17718
"Dennis van Scheppingen"	0.175667
"Conchita Martinez"	0.169976
"Daniel Vacek"	0.169175
"Martin Damm"	0.167621
"Lori McNeil"	0.164965
Nacional	0.164494
"Anke Huber"	0.163842
"Thomas Muster"	0.163775
"Sandon Stolle"	0.161278
"Kimiko Date"	0.160096
"Diego Nargiso"	0.156465
"Jim Courier"	0.15598
"Michael Chang"	0.155555
"Cedric Pioline"	0.154303
"Denisa Chladkova"	0.154195
Malmo	0.154097
"Mark Philippoussis"	0.153853
"Iva Majoli"	0.15367
"Amanda Coetzer"	0.151202
Zamalek	0.150591
"Partizan Belgrade"	0.149354
"Nathalie Tauziat"	0.148246
"Michael Stich"	0.147388
Siemerink	0.146089
"Wang Shi-Ting"	0.146076
"Richard Krajicek"	0.145106
"Arantxa Sanchez-Vicario"	0.144167
Kroslak	0.143898
"Anna Kournikova"	0.143489
"Karol Kucera"	0.143434
"Gustavo Kuerten"	0.143297
Bruguera	0.143255
"Pernilla Wiberg"	0.143037
"Petr Korda"	0.142178
"Pat Rafter"	0.142022
Independiente	0.14109
"Slavia Prague"	0.141022
"Goran Ivanisevic"	0.140226
"Rodney Eyles"	0.13907
"Todd Martin"	0.138591
"Olympique Marseille"	0.136229
Berasategui	0.136027
"Alex Corretja"	0.135591
"Greg Rusedski"	0.134094
"Carlos Moya"	0.133978
"Sandra Kleinova"	0.133834
"Arantxa Sanchez Vicario"	0.132207
"Mary Pierce"	0.130921
Anderlecht	0.130893
Halard-Decugis	0.130672
"Larisa Neiland"	0.13049
Olimpia	0.129156
"Katarina Studenikova"	0.12835
"Fung Permadi"	0.128236
"Helena Sukova"	0.128005
"Tim Henman"	0.126713
"Jacco Eltingh"	0.12638
"Zhang Ning"	0.125758
"Marcelo Rios"	0.124099
"Wang Liqin"	0.123887
"Phenix City"	0.123441
"Gong Ruina"	0.123433
"Peter Nicol"	0.123133
Ulihrach	0.123122
Dragomir	0.122402
"Serena Williams"	0.121968
Habsudova	0.121559
Gothenburg	0.121043
"Olympiakos Piraeus"	0.12092
"Colo Colo"	0.120204
"VfB Stuttgart"	0.119442
"Boca Juniors"	0.119372
Sugiyama	0.118906
"Athletic Bilbao"	0.118207
"Velez Sarsfield"	0.118183
"Wang Chen"	0.117523
Enqvist	0.117412
Stoltenberg	0.117325
Besiktas	0.117163
Testud	0.115655
"Spartak Moscow"	0.115306
"Gong Zhichao"	0.114206
"Yevgeny Kafelnikov"	0.113882
"Boris Becker"	0.112569
Penarol	0.110967
"Peter Rasmussen"	0.110731
Auxerre	0.110559
"Mia Audina"	0.110215
"Vladimir Samsonov"	0.109734
"Patrick Rafter"	0.109025
Hrbaty	0.109014
Brondby	0.108209
Rosenborg	0.107779
"Taufik Hidayat"	0.107254
"Celta Vigo"	0.106635
"Le Defi Francais"	0.106634
Kucera	0.106218
Panathinaikos	0.104731
Edberg	0.103135
"Simon Archer"	0.102549
"Venus Williams"	0.10242
Atalanta	0.102215
Benfica	0.102155
Sanchez-Vicario	0.101905
"Jimmy Connors"	0.101002
"Bradford City"	0.100838
Nicol	0.100336
))
("Andreea Raducan" (desc 1403.62) (sims
"Simona Amanar"	0.324374
"Adrian Voinea"	0.166113
"Huang Xu"	0.164622
"Blaine Wilson"	0.163375
"Svetlana Khorkina"	0.152976
"Andrei Pavel"	0.151832
"Gabriela Szabo"	0.139852
"Ivan Ivankov"	0.136334
"Alexei Nemov"	0.133631
"Liu Xuan"	0.128685
"Elise Ray"	0.127036
Raducan	0.119866
"Lu Yufu"	0.107862
"Sang Lan"	0.106102
"Ruxandra Dragomir"	0.104537
"social democracy"	0.100941
"Dominique Moceanu"	0.100938
Khorkina	0.0983198
"Radu Vasile"	0.0973754
lifter	0.0882121
"Koji Ito"	0.0873074
"Catalina Cristea"	0.0871786
"Shannon Miller"	0.0863111
"Kristen Maloney"	0.0859693
"Yang Wei"	0.0847861
weightlifter	0.0812323
"Zoran Primorac"	0.0810343
"Xiong Ni"	0.0791237
"Li Jiajun"	0.078684
"Michael Von Gruenigen"	0.0772784
"Kurt Thomas"	0.0760755
"Paul Tergat"	0.0758518
"Maria Butyrskaya"	0.0758258
"Miguel Indurain"	0.0747814
"Max Biaggi"	0.0741924
"Fatuma Roba"	0.0737399
"Johan Museeuw"	0.0734257
"Moses Tanui"	0.0721184
"Irina Slutskaya"	0.0719252
"Wang Yifu"	0.0712894
"Favorite Trick"	0.0711539
"Christine Arron"	0.0696499
"Gheorghe Hagi"	0.0695831
"Deon Hemmings"	0.0695675
Atler	0.069326
"Alexei Yagudin"	0.0686819
"Ben Johnson"	0.0683413
"Tom Steels"	0.0671936
leu	0.0669793
"Thomas Stangassinger"	0.0668208
Sotomayor	0.0664058
"Irina Spirlea"	0.0656366
"Kjetil Andre Aamodt"	0.0653892
"Michael Doohan"	0.064525
"Todd Eldredge"	0.064024
"Chen Lu"	0.0639544
"Isolde Kostner"	0.063432
"Guo Jingjing"	0.0628938
Korda	0.0627021
Pavel	0.0624431
"Fu Mingxia"	0.0617823
"Kenny Brack"	0.0616645
"Adrian Ilie"	0.0613563
"Bobby Rahal"	0.061133
"Eddie Cheever"	0.0608739
rower	0.0608231
"Seattle Slew"	0.0608228
shipowner	0.0607309
"Li Na"	0.0607253
Musashimaru	0.060712
bodybuilder	0.0604912
Longo	0.0602619
"Vanessa Atler"	0.0602477
"Juan Montoya"	0.0602455
Svorada	0.0599001
"Jubilo Iwata"	0.0596145
Butyrskaya	0.0593383
"Alexandra Meissnitzer"	0.0592212
"Claudia Poll"	0.0589894
"Dan Petrescu"	0.0579335
"Martina Moravcova"	0.0578359
"Brooke Bennett"	0.0578353
"Anita Wachter"	0.0577326
"Democratic Convention"	0.0575988
"Arnaud Di Pasquale"	0.0571928
"Martin Schmitt"	0.0571486
"Frank Nobilo"	0.0568271
Demjanjuk	0.056613
"Svetlana Masterkova"	0.05661
"Ralf Schumacher"	0.0566054
baseliner	0.0559294
"Javier Sotomayor"	0.0554199
"Hilde Gerg"	0.0552841
"Derrick Adkins"	0.0551233
"Abraham Olano"	0.0549801
"Damon Hill"	0.0549425
"Tian Liang"	0.0549345
"Kinder Bologna"	0.0548133
Lindland	0.0547112
"Oksana Kazakova"	0.0545328
Hagi	0.0544887
Tanui	0.0543776
"Li Xuemei"	0.0542287
PAOK	0.0540957
Windom	0.0536039
"C.J Hunter"	0.0535401
"Penny Heyns"	0.0535006
Anees	0.0534239
Gimelstob	0.0533547
"Arie Luyendyk"	0.053337
"Deborah Compagnoni"	0.0531456
"Picabo Street"	0.0529856
"Doug Walker"	0.0529763
"Liu Guoliang"	0.0529281
"Jean-Philippe Gatien"	0.052901
"Stars &AMP; Stripes"	0.0528498
"Roger Federer"	0.0527107
"Elena Berezhnaya"	0.0525575
"Maria Mutola"	0.0524597
"Chris Boardman"	0.0524136
"Alex Zanardi"	0.0524022
"MIka Hakkinen"	0.052202
Terps	0.0520923
Slaney	0.0520504
Akebono	0.0519769
"Michelle Kwan"	0.0515945
Yagudin	0.0515613
"Katarina Witt"	0.0512275
Moceanu	0.051133
"Le Pen"	0.0511253
Damm	0.0510545
"Elvis Stojko"	0.0510153
Szabo	0.0509286
"HANK KUEHNE"	0.0509045
"Susie O'Neill"	0.050884
"Guy Forget"	0.0507857
"Ian Thorpe"	0.0507406
"Marina Anissina"	0.0507199
"Olin Browne"	0.050564
"Michael Stich"	0.0505209
"Martina Ertl"	0.0504264
"Lasse Kjus"	0.0503529
"Le Jingyi"	0.0503122
"Beautiful Pleasure"	0.0499497
"Colin McRae"	0.0498234
"Jansher Khan"	0.0497544
"Regina Jacobs"	0.0497407
"Amy van Dyken"	0.0495865
Wakanohana	0.0493798
"Samantha Riley"	0.0493291
Boilermakers	0.0492246
"Pernilla Wiberg"	0.0491551
Sainz	0.0491255
Majoli	0.0489445
"Dominique Dawes"	0.048944
"Tommi Makinen"	0.0489108
Dragomir	0.0488641
"Steve Backley"	0.0487481
"Katja Seizinger"	0.048747
"Bill Elliott"	0.0486449
Mayfield	0.0485508
Tarango	0.0485253
Schett	0.0484636
"Irina Privalova"	0.0483832
"Andres Gomez"	0.048346
"Sergi Bruguera"	0.0482632
"Gunda Niemann-Stirnemann"	0.0482236
Kagwe	0.048201
"Grant Hackett"	0.048121
Sanchez-Vicario	0.0480001
"Jeff King"	0.0479432
Ottey	0.0479137
Taufik	0.0478596
Waltrip	0.04782
"second tour"	0.0477333
"Randy Barnes"	0.0477265
"Red Star"	0.0476623
Galatasaray	0.0476368
"Dario Franchitti"	0.0475568
bearcat	0.0475534
"Anatoly Karpov"	0.0474923
Kafelnikov	0.0473824
"Bjarne Riis"	0.0473294
"Peter Gade Christensen"	0.0472916
Jayasinghe	0.0472849
Granville	0.0472692
"Dale Earnhardt Jr."	0.0472508
Pippig	0.0471403
Takanohana	0.0470872
Guerra	0.0470247
"Marco Pantani"	0.0468948
"Petr Korda"	0.0468507
"Pat Rafter"	0.0468267
"Larry Mize"	0.0468241
"Ivan Pedroso"	0.0467635
"Gil Morgan"	0.0467524
"High Yield"	0.0465649
"Heryanto Arbi"	0.0463782
Doohan	0.0462781
"Buster Douglas"	0.0461703
))
(Andreessen (desc 1605.86) (sims
Zadornov	0.133705
Naumann	0.121937
Iger	0.119726
Groening	0.115865
Blazevic	0.115447
Brosnan	0.114012
Zucker	0.109374
Edelstein	0.108699
Snipes	0.106804
Marineau	0.106519
Barad	0.106263
Vogel	0.105084
Gullikson	0.102505
Joklik	0.101903
Isner	0.101541
Brazile	0.10117
Lessig	0.100819
Ruthardt	0.100675
Rongen	0.0996874
hodgson	0.0995266
Milbury	0.0993919
Verney	0.0992108
Verniero	0.0991453
Rothenberg	0.0988569
Remnick	0.0988058
Rosenthal	0.0981439
Moonves	0.0963994
Myhrvold	0.0955193
Chappell	0.0948076
Fiorina	0.0946274
McKeon	0.0944546
Moser	0.0943703
Duisenberg	0.0939935
Horner	0.0938187
Venables	0.0932062
Romer	0.0931415
Darnell	0.0927483
Pearce	0.0921628
Ruehe	0.0919734
Goossen	0.0917143
Coelho	0.0916614
Arens	0.0915971
Wolfson	0.091519
Bogle	0.0911129
Tanaka	0.0908508
Burleigh	0.0903815
Manley	0.0902401
Krugman	0.0901273
Zambrano	0.089631
Ballmer	0.0895877
"Marc Andreessen"	0.0895786
Kuhn	0.0893968
Wagoner	0.0892325
McCurry	0.0891242
Popovich	0.0890005
Barksdale	0.0889836
Vogts	0.0888783
Neff	0.0886112
Sununu	0.0884109
Hawke	0.0882087
Valenti	0.0874294
Alexie	0.0869359
Hauser	0.0868444
Cleese	0.0867368
Ruggiero	0.0865184
Koskinen	0.0862412
Wiatt	0.0861238
Babcock	0.085393
Layden	0.0847007
Arbour	0.0846237
Devine	0.084006
Troussier	0.0831854
Guralnick	0.0831757
Gutman	0.0824139
Dunleavy	0.0821502
Kerik	0.0819011
Fleischer	0.0818602
Snowe	0.0814167
Ftorek	0.0813036
Hamill	0.0809636
DiCicco	0.0808876
Taymor	0.0808366
Patel	0.0803142
Finney	0.0802872
Betts	0.0801678
Muckler	0.080076
Atwood	0.0798729
Grossman	0.0797838
Reimer	0.079699
Wendt	0.0796268
Meissner	0.0794633
Ershad	0.0792288
Goldin	0.0791866
Jobe	0.0789026
Lafleur	0.0786298
Finkel	0.0785493
Kumar	0.0784915
Schell	0.0780237
Sherrill	0.0779145
Solis	0.0777349
Ribbeck	0.0775591
Tsang	0.0774648
"administration official"	0.0774258
Hindery	0.0772777
Bustamante	0.0771502
BURNHAM	0.0770831
Mucha	0.076991
Eizenstat	0.0769392
Bishara	0.0767851
Duffy	0.0767302
Wyly	0.0767119
Rossotti	0.076699
Singson	0.076573
Hobson	0.0763673
Alarcon	0.0763626
Schoenfeld	0.0762777
Eskew	0.0761092
Schaeuble	0.0760357
Sobel	0.0760103
Kelleher	0.0756036
Gottlieb	0.0755038
Morita	0.0754911
McDonnell	0.0754715
Beckwith	0.0754498
Whipple	0.0752508
Breuer	0.0749152
Coffey	0.0747151
Levinson	0.0745481
Postel	0.0745133
Posner	0.0744001
Kessler	0.074338
Chadwick	0.0743358
Sato	0.0742747
Yastrzhembsky	0.0741841
Bhattarai	0.0741173
Sather	0.0740942
Conroy	0.073943
Tevanian	0.0739031
Hunsicker	0.0738265
Felton	0.0738082
Biggs	0.0737787
Lowry	0.0736069
Holl	0.0735839
Wildhorn	0.0735752
Hirst	0.0732117
Tomey	0.0731704
Dodik	0.0731609
Sassa	0.073107
Ralston	0.0730056
Tobin	0.0728655
Boehner	0.0727965
Rahal	0.0726452
McKenna	0.0726055
Maslyukov	0.0726051
Clements	0.0725979
Lawson	0.0723234
Sampson	0.072201
Wilhelm	0.0721957
Donnan	0.072063
Hazen	0.0720568
Sahadi	0.0719241
Flanagan	0.0718572
Paxon	0.0717835
Redstone	0.0716314
Lehane	0.0715219
Sheehan	0.0713429
Carollo	0.0711242
Haskins	0.0709904
Halberstam	0.0708399
Moratinos	0.0708086
Gorman	0.0707939
Leyland	0.0707893
Ciampi	0.0706678
TALBOT	0.0705898
Linder	0.0705542
Montiel	0.0705486
Sperling	0.0705197
Rubenstein	0.0704952
Cooley	0.0704655
Lockyer	0.0704314
Halloran	0.0703267
Hybl	0.0702109
Rodionov	0.070206
Wenger	0.0701606
Samuelson	0.0701543
Wasserman	0.0700843
Torvalds	0.0698041
Braswell	0.0697572
Nanula	0.0696941
Choate	0.0696828
Rylander	0.0696096
Cramer	0.069605
Lacroix	0.0693754
Fuhrman	0.0688841
Vaughan	0.0685539
Mandelson	0.06853
Netcenter	0.0684616
Chao	0.0684345
Gartner	0.0684115
Daft	0.0683592
))
(Andrei (desc 1320.23) (sims
Meligeni	0.178568
Flanagan	0.120804
Mario	0.115556
Steven	0.115352
Ronald	0.109566
Phillip	0.108316
Joshua	0.10594
Likhovtseva	0.105742
Robbie	0.105623
Odai	0.105323
Juan	0.105246
Tim	0.100586
Sidot	0.0999693
Fortier	0.0987592
Dominic	0.0986776
canoeist	0.0955575
Zachary	0.0935523
Ralph	0.0931627
Andrew	0.0901362
Jonathan	0.089524
Byron	0.0890885
Justin	0.0885412
Walter	0.0885306
Jeremy	0.0879147
Josh	0.0878417
Richard	0.0873854
Wyatt	0.0872151
Brian	0.0863354
Jonsson	0.0851301
Gerald	0.0850965
Jason	0.085046
Shenhua	0.0848192
Gregory	0.0841241
Carlos	0.0839553
Randy	0.0839187
Marc	0.0837792
Eric	0.0834841
Pavel	0.0832698
Ahmed	0.082719
Stephen	0.0823855
Marty	0.0823403
Jeff	0.0815442
Ron	0.0812618
Jamie	0.0809948
Liam	0.0807528
Alan	0.0803321
"Joe Kleine"	0.080026
Hongyuan	0.0793652
Kyle	0.0786115
"Juan Miguel"	0.0784523
Nicolas	0.0784157
Derek	0.0783772
Bryan	0.0783606
Carl	0.078293
Fred	0.0778405
Dragomir	0.0778083
Julian	0.0775365
Jeb	0.0774478
Piero	0.0773602
Kremer	0.0768156
Rosset	0.0758788
Elena	0.0757149
Rostock	0.0756206
countrywoman	0.0754621
Matthew	0.0754236
Nicholas	0.075277
Daniel	0.0751709
Ken	0.0745639
Jakob	0.0742105
T.J	0.0740464
ty	0.0739458
Anthony	0.0739019
Terry	0.0736892
Hamzah	0.0733307
Danny	0.0731764
Abdul	0.0725113
Erik	0.0724875
Alex	0.0722591
Andrea	0.0721869
Darren	0.0718898
Joseph	0.0717232
Schalken	0.0716215
Trevor	0.0714512
"Asif Ali Zardari"	0.0711406
Dave	0.0708034
Dodi	0.0707086
Albert	0.0705801
kor	0.070304
Omar	0.0701417
Alexei	0.0700967
timothy	0.0700148
Andre	0.0698868
Lareau	0.0696233
Luis	0.0693784
Alberto	0.0693618
"American Chanda Rubin"	0.0692845
Keith	0.0692256
Seth	0.0691627
Testud	0.0687239
Samuel	0.0686921
Greg	0.0685703
Ben	0.0685091
"shipwreck survivor"	0.0685065
Gary	0.0684599
PSV	0.0684228
Abraham	0.0681141
"Richard Williams"	0.0677844
Christopher	0.0673517
Cedric	0.0673215
Brett	0.0668048
Patrick	0.066785
Fernando	0.0664247
Lorenzo	0.0660392
Edgar	0.0657813
Kuerten	0.0657413
Lucic	0.0656116
Ivan	0.0654688
Safin	0.0651949
Kevin	0.065184
Stefan	0.0651573
outhit	0.0649182
Brad	0.0647616
Goran	0.0647367
Joey	0.0647012
Cody	0.064646
Hainiu	0.0642597
Lecce	0.0642325
Pete	0.0642276
Edberg	0.0641587
"Beijing Guo"	0.0637698
"half sister"	0.0637149
Robby	0.0637023
Damm	0.0636082
"Paul Goldstein"	0.0634111
Sean	0.0628827
Antonio	0.0628565
Brandi	0.062707
Wayne	0.0626426
Dosedel	0.0625803
Milo	0.0624161
Luton	0.0623794
matt	0.0623429
Louis	0.0622272
Marvin	0.0621791
Dan	0.0618587
quadruplet	0.0617586
Berasategui	0.0616944
Jessica	0.061687
Percy	0.0615346
Isaiah	0.0615036
JONAS	0.0614461
Arazi	0.061391
Wilander	0.06125
Mahmoud	0.0612128
Jana	0.0611701
Jessie	0.0609341
"Prince Albert"	0.0609154
Larry	0.0608767
Philip	0.0608635
"Tommy Bowden"	0.0608289
Roberto	0.0606118
Farina	0.0605112
Lindland	0.0604433
Ricky	0.0604167
Gustafsson	0.0603251
Stoltenberg	0.0602104
Andy	0.060135
"George W."	0.0600414
Doug	0.0598814
Tommy	0.0598045
Elijah	0.0598031
Raymond	0.0598005
Jerry	0.0597519
Phil	0.0596968
Evan	0.0596556
Taufik	0.0595607
"half time"	0.0593565
Ilie	0.0592726
Rashid	0.0591708
Rick	0.058967
Theo	0.0589356
Clavet	0.0588092
Lapentti	0.0587769
Diego	0.0587694
Duisburg	0.0586046
Gimelstob	0.0585795
Roger	0.0585422
Puerta	0.0583974
Raoux	0.0583291
Johansson	0.0582899
"American Michael Chang"	0.0582627
Salernitana	0.0579857
Travis	0.0578472
Medvedev	0.0575998
Sergei	0.0575969
"Rajiv Gandhi"	0.057576
Aris	0.0574992
Sidney	0.0574676
Kirk	0.0574434
ESP	0.0573988
))
("Andrei Babitsky" (desc 1525.89) (sims
"Shao Yunhuan"	0.260045
"Peter Arnett"	0.244299
"Christiane Amanpour"	0.21033
Babitsky	0.159368
"Mike Wallace"	0.119995
"Mumia Abu-Jamal"	0.118522
"Bob Woodward"	0.105202
"Mike Williams"	0.101312
"Bill Moyers"	0.0992916
"Sam Donaldson"	0.0947876
"David Halberstam"	0.0928656
"Madalyn Murray O'Hair"	0.0836194
Kalejs	0.0835467
"John Reed"	0.0740597
Arnett	0.071993
"Edward R. Murrow"	0.0691635
noncitizens	0.0680432
"Ted Koppel"	0.0679818
"Abdullah Ocalan"	0.0666733
Yazdi	0.0665645
"Iranian POWs"	0.065365
"Steven Brill"	0.065336
Japanese-Americans	0.0634876
Hsu	0.0625611
"Tom Kelly"	0.0623084
illegals	0.0618883
"Lou Dobbs"	0.0615831
taskbar	0.0614049
Mattysse	0.0602548
Imperatori	0.0592499
"Jeremy Greenstock"	0.0574842
"Christian Bale"	0.0571591
"Cokie Roberts"	0.0567623
Shao	0.0545482
"Jim Gray"	0.0542777
O'Hair	0.0542221
"Andrea Gail"	0.0540474
"Jack Smith"	0.0538309
"Xu Wenli"	0.0535027
"Carole Sund"	0.0529743
Soyinka	0.0522356
Caldwell	0.0518262
Fahey	0.0514005
"Barbara Walters"	0.0505409
Osama	0.0486182
serendipity	0.048597
"another @@.@ percent"	0.0485774
Meston	0.0480308
emigrant	0.0478356
Ecuadoreans	0.0477285
"Wole Soyinka"	0.0475265
Contreras	0.047297
"Moshood Abiola"	0.0472558
Kiareldeen	0.0470888
"Connie Chung"	0.0470251
"Andrew Morton"	0.0469692
Xiao	0.0469096
"Osama Bin Laden"	0.046592
Silverman	0.0465264
Arad	0.0461597
"Tim Russert"	0.0458831
serviceman	0.045454
Silva	0.045419
McIntyre	0.0452703
Shayler	0.0452566
"Eric Dickerson"	0.0451957
Balaguer	0.0449778
"two pitchers"	0.0447809
Ntakirutimana	0.0446227
Sebaggala	0.0443738
Denis	0.0442932
McCurry	0.0442424
parolee	0.0442378
Ibrahim	0.0440828
"North Africans"	0.043878
Chukwu	0.0438547
Villanueva	0.0432512
Samuelson	0.0429126
"Natan Sharansky"	0.0428479
"Paul Taylor"	0.0428429
Rosenthal	0.0426531
Priebke	0.0425556
"Mikhail Kasyanov"	0.0423678
Gannon	0.042243
Boueiz	0.0422156
Fassett	0.0422003
Cavallo	0.0420934
SPS	0.0420339
Papon	0.041984
profiteer	0.0417627
Burleigh	0.0417045
Woodruff	0.0414785
Chu	0.0413021
Karbaschi	0.0412987
Reyes	0.0412349
homesickness	0.0412157
Learjet	0.0410086
Nasrin	0.0407273
Scelzi	0.0406519
Keiko	0.0405978
"Amelia Earhart"	0.0405417
"Abu Nidal"	0.0400404
))
("Andrei Medvedev" (desc 4674.5) (sims
"Alberto Berasategui"	0.325661
"Mariano Puerta"	0.308728
"Sergi Bruguera"	0.304127
"Albert Portas"	0.303746
"Cedric Pioline"	0.30224
"Kenneth Carlsen"	0.298267
"Nicolas Escude"	0.290257
"Tommy Haas"	0.289446
"Nathalie Dechy"	0.289298
"Hicham Arazi"	0.28918
"Jerome Golmard"	0.288939
"Chanda Rubin"	0.286728
"Leander Paes"	0.283738
"Magnus Gustafsson"	0.283442
"Goran Ivanisevic"	0.283077
"Thomas Enqvist"	0.28203
"Alex Corretja"	0.281139
"Sebastien Grosjean"	0.279414
"Carlos Costa"	0.27814
"Iva Majoli"	0.277579
"Richard Fromberg"	0.276768
"Guillaume Raoux"	0.276363
"Ruxandra Dragomir"	0.276169
"Arnaud Clement"	0.273716
"Vincent Spadea"	0.2737
"Magdalena Maleeva"	0.273545
"Silvia Farina"	0.273488
"Younes El Aynaoui"	0.273204
"Sarah Pitkowski"	0.272001
"Magui Serna"	0.271506
"Francisco Clavet"	0.271068
"Hernan Gumy"	0.270373
"Thomas Johansson"	0.270266
"Elena Likhovtseva"	0.269895
"Sjeng Schalken"	0.269774
"MaliVai Washington"	0.26926
"Marc Rosset"	0.265378
"Dominique Van Roost"	0.264564
"Fernando Meligeni"	0.26305
"Rainer Schuttler"	0.262637
"Mikael Tillstrom"	0.262629
"Arantxa Sanchez-Vicario"	0.261555
"Carlos Moya"	0.261396
"Ramon Delgado"	0.260381
"Wayne Ferreira"	0.258538
"Mary Pierce"	0.258482
"Andrei Pavel"	0.257977
"Mark Philippoussis"	0.257893
"Michael Chang"	0.255967
"Karol Kucera"	0.255784
"Franco Squillari"	0.255217
"Sandrine Testud"	0.254969
"Todd Martin"	0.254227
"Richard Krajicek"	0.253546
"Roger Federer"	0.253099
"Jonas Bjorkman"	0.252431
"Adrian Voinea"	0.252218
"Yevgeny Kafelnikov"	0.251933
"Sabine Appelmans"	0.251333
"Scott Draper"	0.250873
"Sargis Sargsian"	0.25053
"Tamarine Tanasugarn"	0.249656
"Florencia Labat"	0.249403
"Marcelo Filippini"	0.249027
"Fabrice Santoro"	0.248936
"Magnus Norman"	0.248898
"Dominik Hrbaty"	0.247928
"Tatiana Panova"	0.247861
"Anne Kremer"	0.247823
"Christian Ruud"	0.247784
"Felix Mantilla"	0.247237
"Karim Alami"	0.247203
"Julie Halard-Decugis"	0.247042
"Patrick Rafter"	0.246898
"Mariano Zabaleta"	0.246544
"Davide Sanguinetti"	0.2462
"Greg Rusedski"	0.246195
"Gustavo Kuerten"	0.246037
"Anke Huber"	0.245505
"Elena Dementieva"	0.245497
"Natasha Zvereva"	0.244444
"Marcelo Rios"	0.243778
"Amanda Coetzer"	0.243563
"Juan Antonio Marin"	0.242136
"Amelie Mauresmo"	0.241853
"Anne-Gaelle Sidot"	0.241331
"Nathalie Tauziat"	0.241297
"Barbara Schett"	0.241173
"Julian Alonso"	0.240845
"Nicolas Kiefer"	0.240778
"Galo Blanco"	0.240092
"Arnaud Boetsch"	0.239738
"Judith Wiesner"	0.239126
"David Prinosil"	0.238904
"Filip Dewulf"	0.238701
"Marat Safin"	0.238229
"Ai Sugiyama"	0.238065
"Byron Black"	0.237906
"Arnaud Di Pasquale"	0.237593
"Jason Stoltenberg"	0.237478
"Paul Haarhuis"	0.236998
"Thomas Muster"	0.236234
"Chris Woodruff"	0.235874
"Conchita Martinez"	0.235658
"Andreas Vinciguerra"	0.235549
"Albert Costa"	0.234373
"Joannette Kruger"	0.233797
"American Todd Martin"	0.233014
"Jeff Tarango"	0.232931
"Lisa Raymond"	0.232492
"Andrea Gaudenzi"	0.232443
"Patty Schnyder"	0.232025
"Wayne Black"	0.229264
"Barbara Paulus"	0.22881
"Tim Henman"	0.228232
Siemerink	0.227937
"Xavier Malisse"	0.227167
"Magnus Larsson"	0.227059
"Javier Sanchez"	0.225879
"Jim Courier"	0.225435
"Nicolas Lapentti"	0.225389
"Grant Stafford"	0.22536
"Olga Barabanschikova"	0.225212
"Andres Gomez"	0.224104
"Yayuk Basuki"	0.22276
"Brett Steven"	0.221736
"Pat Rafter"	0.221548
"Petr Korda"	0.220562
"Miriam Oremans"	0.219361
"Paola Suarez"	0.217581
"Arantxa Sanchez Vicario"	0.217376
"Alberto Costa"	0.2168
"Richey Reneberg"	0.216284
"Amy Frazier"	0.216156
"Asa Carlsson"	0.214984
"Tara Snyder"	0.21482
"Naoko Sawamatsu"	0.214674
"Cara Black"	0.214514
"Gianluca Pozzi"	0.214271
"Marcos Ondruska"	0.213724
"American Chanda Rubin"	0.213478
"Andrew Ilie"	0.212741
"Sebastien Lareau"	0.210058
"Irina Spirlea"	0.208378
"Daniel Nestor"	0.207772
"Catalina Cristea"	0.20605
"Jan-Michael Gambill"	0.205396
"Slava Dosedel"	0.204926
"Russian Yevgeny Kafelnikov"	0.202991
"Guy Forget"	0.202637
"Andre Agassi"	0.200012
"Renzo Furlan"	0.199912
"Australian Mark Philippoussis"	0.199771
"Mark Woodforde"	0.199339
"Mary Joe Fernandez"	0.199309
"Nicole Pratt"	0.199052
"Todd Woodbridge"	0.199029
"Monica Seles"	0.197929
"Mark Knowles"	0.197774
"Brenda Schultz-McCarthy"	0.197567
"Barbara Schwartz"	0.196635
"Boris Becker"	0.195884
"Lindsay Davenport"	0.194814
"Jana Novotna"	0.194592
"Jonathan Stark"	0.191423
"Neville Godwin"	0.189542
"Jiri Novak"	0.187359
"Justin Gimelstob"	0.187107
"Kristie Boogert"	0.18641
"Jennifer Capriati"	0.186373
"Alexandra Fusai"	0.185691
Kroslak	0.185659
"Els Callens"	0.184878
"Steve Campbell"	0.184027
"Kveta Hrdlickova"	0.182958
"Venus Williams"	0.180561
"Vince Spadea"	0.180335
Corretja	0.178644
"Kimiko Date"	0.178457
"Serena Williams"	0.17788
"Lleyton Hewitt"	0.177837
"Bohdan Ulihrach"	0.176684
"Barbara Rittner"	0.176348
"Li Fang"	0.176305
"Juan Carlos Ferrero"	0.17456
"Daniel Vacek"	0.173507
"Mahesh Bhupathi"	0.173294
"Anna Kournikova"	0.173191
"Corina Morariu"	0.17215
"Michael Stich"	0.172117
"Henrieta Nagyova"	0.171783
Pioline	0.171682
"Rita Grande"	0.170925
"Kimberly Po"	0.17079
"Mirjana Lucic"	0.169171
"Jelena Dokic"	0.168893
"Martin Damm"	0.167853
"Stefan Edberg"	0.167379
"Steffi Graf"	0.167132
"Michael Tebbutt"	0.166742
"Martina Hingis"	0.166462
"Kim Clijsters"	0.165556
"American Lindsay Davenport"	0.165344
"John Van Lottum"	0.165213
"Alex O'Brien"	0.164558
"Nicklas Kulti"	0.164314
"Karina Habsudova"	0.162942
Enqvist	0.161625
Kafelnikov	0.161163
"South African Amanda Coetzer"	0.154979
"Max Mirnyi"	0.153426
Majoli	0.15285
"Rodney Eyles"	0.151566
"Olivier Delaitre"	0.150798
"Paul Goldstein"	0.150675
Tauziat	0.149132
"Pete Sampras"	0.147625
Berasategui	0.146014
"Mats Wilander"	0.145991
Halard-Decugis	0.145673
"Ong Ewe Hock"	0.145346
Ivanisevic	0.144511
Coetzer	0.143321
"Fung Permadi"	0.142872
"Peter Gade Christensen"	0.142608
Mantilla	0.142448
Rusedski	0.141172
rios	0.140818
Henman	0.140778
"Sanchez Vicario"	0.140351
Sanchez-Vicario	0.140172
"Rika Hiraki"	0.139977
"Gong Zhichao"	0.138256
"Wayne Arthurs"	0.137789
Bjorkman	0.13773
"Peter Rasmussen"	0.137713
Swardt	0.137371
"Lori McNeil"	0.137205
Stoltenberg	0.137007
Kuerten	0.136465
"Dynamo Kiev"	0.136056
Ulihrach	0.134068
Novotna	0.13248
Moya	0.131797
"Heryanto Arbi"	0.131193
Nacional	0.13081
Kucera	0.130745
"American Michael Chang"	0.130168
"Helena Sukova"	0.129599
Hingis	0.128116
"Ye Zhaoying"	0.128086
Raoux	0.128009
Bruguera	0.127827
"Partizan Belgrade"	0.1278
Hendrawan	0.125765
Zvereva	0.125459
"Jan-Ove Waldner"	0.124782
"Wang Liqin"	0.124236
Agassi	0.124194
"Peter Nicol"	0.124016
Seles	0.123517
"Jacco Eltingh"	0.123341
Philippoussis	0.122478
Medvedev	0.121018
Dragomir	0.120513
"Sandon Stolle"	0.1205
Zamalek	0.120351
"Janet Lee"	0.120147
"Dong Jiong"	0.119459
Palmeiras	0.119324
"Vladimir Samsonov"	0.118717
Sugiyama	0.118103
"Dai Yun"	0.117404
Mauresmo	0.117062
Testud	0.116783
Clavet	0.115913
Likhovtseva	0.11551
"Kong Linghui"	0.115396
"Dennis van Scheppingen"	0.115373
"Alexandra Stevenson"	0.114945
"Liu Guoliang"	0.113989
"Slavia Prague"	0.113673
Schnyder	0.11361
"Denisa Chladkova"	0.112832
Waldner	0.112755
Krajicek	0.112326
"Camilla Martin"	0.112195
"Adriana Gersi"	0.112072
Gustafsson	0.111868
Capriati	0.111764
Davenport	0.111165
Edberg	0.110871
Gremio	0.110535
"Wang Shi-Ting"	0.110143
"American Pete Sampras"	0.110031
Sampras	0.109562
Panathinaikos	0.109542
"Diego Nargiso"	0.109475
Safin	0.109403
Korda	0.10815
Kournikova	0.108086
"Taufik Hidayat"	0.107837
Dosedel	0.107574
"Li Ju"	0.1066
"Xia Xuanze"	0.10628
"Spartak Moscow"	0.106223
"Gong Ruina"	0.105892
"Colo Colo"	0.105774
Meligeni	0.105654
"Dalian Wanda"	0.105399
Rosset	0.104849
"Zhang Ning"	0.104565
Kiefer	0.104302
Independiente	0.103803
"Wang Nan"	0.103782
"Chinese Taipei"	0.101675
Huber	0.100579
"Sergei Bubka"	0.100551
Damm	0.100344
Ferreira	0.100324
"Mia Audina"	0.100157
"Jean-Philippe Gatien"	0.100152
"Budi Santoso"	0.100017
))
("Andrei Pavel" (desc 1655.49) (sims
"Adrian Voinea"	0.562006
"Catalina Cristea"	0.454913
"Ruxandra Dragomir"	0.437714
"Albert Portas"	0.396614
"Hernan Gumy"	0.385282
"Christian Ruud"	0.367223
"Rainer Schuttler"	0.362702
"Mariano Zabaleta"	0.352637
"Jerome Golmard"	0.34834
"Magui Serna"	0.346264
"Neville Godwin"	0.342801
"Anne Kremer"	0.342489
"Magdalena Maleeva"	0.341556
"Irina Spirlea"	0.34035
"Tatiana Panova"	0.339454
"Renzo Furlan"	0.336834
"Karim Alami"	0.33625
"Nathalie Dechy"	0.329382
"Andrew Ilie"	0.329366
"Silvia Farina"	0.32906
"Arnaud Boetsch"	0.328685
"Xavier Malisse"	0.328375
"Franco Squillari"	0.326983
"Sarah Pitkowski"	0.323289
"Sabine Appelmans"	0.319967
"Ramon Delgado"	0.319036
"Scott Draper"	0.314885
"Sjeng Schalken"	0.314363
"Carlos Costa"	0.313346
"Juan Antonio Marin"	0.310951
"Arnaud Clement"	0.310136
"Joannette Kruger"	0.308852
"Vincent Spadea"	0.307828
"Florencia Labat"	0.307136
"Nicolas Escude"	0.305393
"Olga Barabanschikova"	0.30442
"Cara Black"	0.304231
"Guillaume Raoux"	0.301842
"Naoko Sawamatsu"	0.29537
"Younes El Aynaoui"	0.295112
"Asa Carlsson"	0.294781
"Barbara Paulus"	0.294405
"Sargis Sargsian"	0.294293
"Francisco Clavet"	0.293791
"Richard Fromberg"	0.293641
"Judith Wiesner"	0.291633
"Galo Blanco"	0.291569
"Arnaud Di Pasquale"	0.291444
"Filip Dewulf"	0.291311
"Wayne Black"	0.288354
"Sebastien Lareau"	0.286403
"Andreas Vinciguerra"	0.285858
"Grant Stafford"	0.28551
"MaliVai Washington"	0.285399
"Alexandra Fusai"	0.285304
"Mikael Tillstrom"	0.284817
"Sebastien Grosjean"	0.284367
"Miriam Oremans"	0.282635
"Elena Likhovtseva"	0.282605
"Els Callens"	0.281469
"Jeff Tarango"	0.281036
"Javier Sanchez"	0.277416
"Mariano Puerta"	0.276841
"Hicham Arazi"	0.276171
"Kenneth Carlsen"	0.275396
"Alberto Berasategui"	0.275165
"Barbara Rittner"	0.274184
"Marcelo Filippini"	0.272994
"Marcos Ondruska"	0.272872
"Steve Campbell"	0.271873
"Yayuk Basuki"	0.270622
"Fabrice Santoro"	0.270401
"Amy Frazier"	0.270074
"Andrea Gaudenzi"	0.269981
"Jonathan Stark"	0.268231
"Rita Grande"	0.267205
"Tamarine Tanasugarn"	0.267105
"Sergi Bruguera"	0.266094
"Gianluca Pozzi"	0.265508
"Leander Paes"	0.263048
"Richey Reneberg"	0.262851
"Tara Snyder"	0.262668
"Todd Woodbridge"	0.262157
"Alberto Costa"	0.261938
"David Prinosil"	0.259936
"Michael Tebbutt"	0.259821
"Daniel Nestor"	0.259461
"Kim Clijsters"	0.259327
"Corina Morariu"	0.25845
"Andrei Medvedev"	0.257977
"Kristie Boogert"	0.256333
"Max Mirnyi"	0.254252
"Chris Woodruff"	0.253386
"Juan Carlos Ferrero"	0.252947
"Marc Rosset"	0.251758
"Nicole Pratt"	0.250066
"Fernando Meligeni"	0.247926
"Paola Suarez"	0.247164
"Albert Costa"	0.246738
"Roger Federer"	0.246395
"Justin Gimelstob"	0.245219
"Anne-Gaelle Sidot"	0.244513
"Elena Dementieva"	0.242681
"Li Fang"	0.241111
"Kveta Hrdlickova"	0.241002
"Thomas Johansson"	0.240867
"Amelie Mauresmo"	0.239006
"Julian Alonso"	0.238265
"Paul Haarhuis"	0.237195
"Ai Sugiyama"	0.236622
"Nicolas Lapentti"	0.236334
"Brenda Schultz-McCarthy"	0.235523
"Jason Stoltenberg"	0.234869
"Jan-Michael Gambill"	0.234341
"Andres Gomez"	0.234146
"Felix Mantilla"	0.232609
"Brett Steven"	0.232294
"Marat Safin"	0.23156
"Magnus Norman"	0.230279
"Guy Forget"	0.227617
"Mark Knowles"	0.226975
"Byron Black"	0.226167
"Tommy Haas"	0.22552
"Davide Sanguinetti"	0.225045
"Sandrine Testud"	0.224836
"Mahesh Bhupathi"	0.223293
"Natasha Zvereva"	0.223175
"Mirjana Lucic"	0.222075
"Rika Hiraki"	0.221967
"John Van Lottum"	0.221661
"Mark Woodforde"	0.220181
"Magnus Gustafsson"	0.219062
"Bohdan Ulihrach"	0.21872
"Wayne Arthurs"	0.216541
"Denisa Chladkova"	0.216074
"Kimiko Date"	0.214151
"Kimberly Po"	0.213935
"Barbara Schett"	0.213815
"Dennis van Scheppingen"	0.212973
"Dominique Van Roost"	0.212717
"Jonas Bjorkman"	0.212629
"Julie Halard-Decugis"	0.212394
"Chanda Rubin"	0.212199
"Patty Schnyder"	0.210719
"Lisa Raymond"	0.210439
"Nicolas Kiefer"	0.209628
"Magnus Larsson"	0.20938
"Anke Huber"	0.208006
"Mary Joe Fernandez"	0.207635
"Iva Majoli"	0.207387
"Adriana Gersi"	0.207383
"Barbara Schwartz"	0.206931
"Wayne Ferreira"	0.20668
"Dominik Hrbaty"	0.205597
"Slava Dosedel"	0.203439
"Daniel Vacek"	0.202825
"Martin Damm"	0.199457
"Vince Spadea"	0.19754
"Karina Habsudova"	0.196512
"Jiri Novak"	0.194772
"Michael Stich"	0.194629
"Gabriela Szabo"	0.192833
"Mark Philippoussis"	0.192519
"Alex O'Brien"	0.191756
"Nathalie Tauziat"	0.188923
"Stefan Edberg"	0.187862
"Henrieta Nagyova"	0.187487
"Richard Krajicek"	0.187019
"Conchita Martinez"	0.186887
"Thomas Enqvist"	0.185814
"Arantxa Sanchez-Vicario"	0.18543
"Lori McNeil"	0.185201
"Pat Rafter"	0.180425
"Nicklas Kulti"	0.180143
"Olivier Delaitre"	0.179417
"Jim Courier"	0.179386
"Australian Mark Philippoussis"	0.178728
"Gustavo Kuerten"	0.178704
"Cedric Pioline"	0.178517
Siemerink	0.178372
"Goran Ivanisevic"	0.177583
"Todd Martin"	0.177521
"Tim Henman"	0.177064
Kroslak	0.176745
Dragomir	0.175916
"Sandon Stolle"	0.175808
"Janet Lee"	0.175197
"Jennifer Capriati"	0.174375
"Diego Nargiso"	0.172986
"Thomas Muster"	0.172819
"Jelena Dokic"	0.172252
"Petr Korda"	0.172021
"Partizan Belgrade"	0.171205
"Yevgeny Kafelnikov"	0.170513
"Karol Kucera"	0.169636
"Carlos Moya"	0.168402
"Alex Corretja"	0.167158
"Ong Ewe Hock"	0.166235
"Mary Pierce"	0.166096
"Amanda Coetzer"	0.165231
"Michael Chang"	0.164469
"Greg Rusedski"	0.163008
Prinosil	0.162999
"Lleyton Hewitt"	0.160105
"David Rikl"	0.159905
"Paul Goldstein"	0.159776
Zamalek	0.158456
Halard-Decugis	0.158094
"Zhang Ning"	0.156982
"Wang Shi-Ting"	0.156403
"Marcelo Rios"	0.155837
"Patrick Rafter"	0.155529
"Alexandra Stevenson"	0.154754
Bruguera	0.154632
"Helena Sukova"	0.154625
Berasategui	0.153713
"Simona Amanar"	0.153202
Mauresmo	0.152916
"Andreea Raducan"	0.151832
"Jacco Eltingh"	0.151377
Stoltenberg	0.151122
Swardt	0.150249
Habsudova	0.148977
Testud	0.148304
Nacional	0.148144
"Sandra Kleinova"	0.147208
Raoux	0.146766
"Arantxa Sanchez Vicario"	0.144625
"Anna Kournikova"	0.142491
"Katarina Studenikova"	0.142287
Enqvist	0.142156
"Dong Jiong"	0.141035
Kucera	0.140722
"Rodney Eyles"	0.140099
Olimpia	0.138188
"Mats Wilander"	0.137941
"Vladimir Samsonov"	0.136874
Schalken	0.136788
Clavet	0.136574
"Wang Chen"	0.136573
"American Chanda Rubin"	0.136487
Independiente	0.136129
Sugiyama	0.135868
"Peter Nicol"	0.135133
"Gong Zhichao"	0.135074
"Gong Ruina"	0.13504
"Fung Permadi"	0.134599
"Peter Rasmussen"	0.134269
"DON JOHNSON"	0.133447
"Serena Williams"	0.132372
"Olympiakos Piraeus"	0.132329
"Monica Seles"	0.132304
"Jana Novotna"	0.131851
Santoro	0.131069
"American Todd Martin"	0.128887
"Slavia Prague"	0.128665
Sanchez-Vicario	0.127584
"Jean-Philippe Gatien"	0.12741
Kuerten	0.127348
"Velez Sarsfield"	0.12708
"Colo Colo"	0.126943
Ulihrach	0.126681
Kafelnikov	0.12644
"Boris Becker"	0.126115
"VfB Stuttgart"	0.125293
Likhovtseva	0.124618
Dosedel	0.124432
"Martin Lee"	0.124388
Hendrawan	0.124224
"Camilla Martin"	0.123514
"Chen Jing"	0.122299
"Budi Santoso"	0.119944
"Joko Suprianto"	0.119858
"Larisa Neiland"	0.119841
Gustafsson	0.119663
Hrbaty	0.118423
"Mia Audina"	0.118282
Olympiakos	0.118183
Mantilla	0.117002
Anderlecht	0.116583
"Xia Xuanze"	0.115932
"River Plate"	0.115884
"Spartak Moscow"	0.115848
"Taufik Hidayat"	0.115804
"Susi Susanti"	0.115688
Edberg	0.115546
Penarol	0.114922
"Ye Zhaoying"	0.11459
"Steffi Graf"	0.114289
"Simon Archer"	0.114128
Starzz	0.113691
Coetzer	0.113259
"Wang Liqin"	0.11322
Spadea	0.112841
"Van Roost"	0.112576
"Athletic Bilbao"	0.112511
"Li Ju"	0.111993
"Kinder Bologna"	0.111677
"Russian Yevgeny Kafelnikov"	0.111485
"Andre Agassi"	0.110604
"Lindsay Davenport"	0.109957
Lapentti	0.10971
Bjorkman	0.109282
Palmeiras	0.108732
Brondby	0.108601
"Olympique Marseille"	0.108326
Rosset	0.108287
"Jimmy Connors"	0.108134
"Boca Juniors"	0.108103
"Phenix City"	0.107806
"Yang Ying"	0.107669
"Rashid Sidek"	0.107111
Auxerre	0.106818
"Dynamo Kiev"	0.106096
"Venus Williams"	0.105866
Pioline	0.105846
Panathinaikos	0.105743
Damm	0.104974
"Peter Gade Christensen"	0.104878
Galatasaray	0.104764
"AEK Athens"	0.104723
Rusedski	0.104669
"Briton Greg Rusedski"	0.104382
Novotna	0.103246
Gremio	0.102581
"Dai Yun"	0.102506
Rosenborg	0.102181
"Guangzhou Apollo"	0.10212
"Zoran Primorac"	0.101968
"American Pete Sampras"	0.101674
Majoli	0.101118
rios	0.100612
"Guangdong Hongyuan"	0.100603
"Bradford City"	0.100591
Besiktas	0.100194
Korda	0.10015
))
(Andres (desc 1657.2) (sims
Evan	0.106231
Paolo	0.0976567
Mah	0.0969967
Lorenzo	0.0936061
Odai	0.0803965
Gerald	0.0801639
Liam	0.078437
Miguel	0.073697
Ramon	0.0732531
"Dale Jr."	0.0722411
Pablo	0.0719657
Gabe	0.0709585
Samuel	0.070164
Eduardo	0.0699489
Jose	0.0693374
Gerard	0.0681974
Trevor	0.0681556
Quentin	0.0674985
"Bashar Assad"	0.0671258
Shawn	0.0669261
Wyatt	0.0664113
Zachary	0.0659934
Brody	0.0642651
Milo	0.0624256
Isaiah	0.0620682
Jeb	0.0618495
Hamzah	0.0616637
T.J	0.0606563
Neil	0.0596242
Shane	0.0592826
sis	0.0591136
Vladimir	0.0590011
Cody	0.0589978
Dodi	0.0586105
Kyle	0.0583158
"Fernando Henrique Cardoso"	0.0578332
Cameron	0.057745
Justin	0.0575009
Connor	0.0574038
Colin	0.0572969
Jacob	0.0568888
Theo	0.05673
Jonathan	0.0566617
Ronald	0.0564559
Carlos	0.0563507
Pinto	0.0562852
Joshua	0.0562109
Juan	0.0556254
Mendez	0.0550084
Francisco	0.0545847
Diego	0.0542098
Ivan	0.0539959
Jeremy	0.053855
Luis	0.0538334
Sasha	0.0537326
"John Kim"	0.0528553
Brian	0.0528478
Robby	0.0527723
Edgar	0.0527546
Carl	0.0527015
Phillip	0.0526341
"Wang Yeping"	0.0525682
Josh	0.0525439
Bashar	0.0525166
Angelo	0.0524576
Steven	0.0524271
Nathaniel	0.0521996
Ian	0.052088
Forrest	0.052006
Lance	0.0514041
Travis	0.0513224
Rashid	0.0512132
Brett	0.0510064
Ahmed	0.050841
Mahomes	0.0503749
timothy	0.0503366
"John Quincy Adams"	0.0501772
Finkel	0.0499719
Sykes	0.0497774
Gus	0.0494844
Dave	0.0493596
Antonio	0.049209
Rafael	0.0489529
Omar	0.048559
Michel	0.0484119
Donnie	0.0482062
Paxon	0.0481713
Ito	0.0478666
Toni	0.0477704
Ruggiero	0.0477524
Danny	0.0477227
Noah	0.0477213
fritz	0.0474529
Silas	0.0473875
Peyton	0.0472863
Luther	0.0472814
Osuna	0.0471207
Felipe	0.0471058
Owen	0.0470792
Albert	0.046923
Augustine	0.046923
Kenneth	0.0469042
Sean	0.0468317
Rodionov	0.0467998
Mateo	0.0467043
Julian	0.0466477
Langham	0.0465151
Jeffrey	0.046243
Edward	0.0460938
Brogna	0.0459287
Trey	0.0457629
Klerk	0.0456706
Giambi	0.045605
Johnny	0.0455275
Philip	0.0453729
McWilliams	0.0452862
Julio	0.0450847
Noel	0.0449868
Myers	0.0448148
Dominic	0.0447563
Joey	0.0445652
Benny	0.0443626
Mohammed	0.0443586
Ethan	0.0443387
Drew	0.0440986
Amos	0.0440221
Marvin	0.0439742
Frederick	0.0435784
"George W."	0.0435669
J.J	0.0435342
Fred	0.0434768
Derek	0.0432238
Alan	0.0430483
Jeremiah	0.0429307
"Franjo Tudjman"	0.0428751
Walter	0.0426576
Archie	0.0426309
"James P. Hoffa"	0.0425798
Waite	0.0425536
Brad	0.04243
ex-communist	0.0423403
Farrellys	0.0422121
Marty	0.0421205
Kraus	0.0421163
Tilberis	0.0420892
Laguna	0.0420401
Jamie	0.0419835
"Joseph Estrada"	0.0418091
Akbar	0.0417761
Bessette	0.0417665
Isaac	0.0416014
Guterres	0.0415349
Fernando	0.0414401
Keith	0.0414295
Ochoa	0.0412032
Kenyon	0.0411984
Denis	0.0411467
"Russ Ortiz"	0.0411299
Valenti	0.0409898
Clemente	0.0408256
Nevin	0.0405269
Bernie	0.0405207
Macoris	0.0404997
Robbie	0.0404352
"Hugo Chavez"	0.0404249
Louis	0.0401359
Sheehan	0.0400737
Venables	0.040063
))
("Andres Galarraga" (desc 11524.8) (sims
"Javy Lopez"	0.260756
"Ryan Klesko"	0.253901
"Brian Jordan"	0.247998
"Andruw Jones"	0.246174
"Chipper Jones"	0.246052
Galarraga	0.243473
"Gerald Williams"	0.209687
"Bret Boone"	0.204875
"Quilvio Veras"	0.201193
"Fred McGriff"	0.195352
"Keith Lockhart"	0.194408
"Jeff Bagwell"	0.187739
"Jose Hernandez"	0.186985
"Walt Weiss"	0.183306
"Phil Nevin"	0.181463
"Jim Thome"	0.17929
"Eddie Perez"	0.17929
"Ozzie Guillen"	0.177309
"Mo Vaughn"	0.175957
"Scott Rolen"	0.172516
"Todd Helton"	0.172147
"Ken Caminiti"	0.170419
"Greg Vaughn"	0.164324
Klesko	0.164208
"Vinny Castilla"	0.163052
"Larry Walker"	0.16157
"Rafael Palmeiro"	0.161144
"John Olerud"	0.159507
"Jason Giambi"	0.158202
"Tino Martinez"	0.157734
"Gary Sheffield"	0.157287
"Matt Williams"	0.156365
"Carlos Delgado"	0.156331
"Troy Glaus"	0.155267
"Moises Alou"	0.154892
Olerud	0.154741
"Edgardo Alfonzo"	0.154509
"Tim Salmon"	0.15288
Alfonzo	0.152677
"Derrek Lee"	0.151576
"Darin Erstad"	0.151427
"Eric Karros"	0.150306
"Dante Bichette"	0.149725
"Chuck Knoblauch"	0.146604
"Vladimir Guerrero"	0.145669
Karros	0.143053
"Kevin Young"	0.141194
Rolen	0.140409
"Derek Bell"	0.140391
"Preston Wilson"	0.13998
"Wally Joyner"	0.139585
"Danny Bautista"	0.139375
"Randall Simon"	0.139083
"Nomar Garciaparra"	0.138768
"Juan Gonzalez"	0.138294
"Greg Colbrunn"	0.138274
"Bernie Williams"	0.138027
"Garret Anderson"	0.13797
"Mike Piazza"	0.137844
"Richie Sexson"	0.137189
"Otis Nixon"	0.136744
"John Valentin"	0.136122
Vaughn	0.135513
"Michael Tucker"	0.13506
"Robin Ventura"	0.134829
"J.T Snow"	0.134371
"Will Clark"	0.134319
"Mark Loretta"	0.13388
Fullmer	0.133706
"Todd Zeile"	0.133055
"Brian Hunter"	0.132857
"Scott Spiezio"	0.132354
"Barry Bonds"	0.131804
"Scott Brosius"	0.131736
Vidro	0.131358
Palmeiro	0.131301
"Rico Brogna"	0.131258
"Tony Batista"	0.130765
"Jose Offerman"	0.130495
Bagwell	0.129294
"Ray Durham"	0.129288
"Jay Buhner"	0.129208
"Craig Biggio"	0.129047
"Frank Thomas"	0.128968
"Adrian Beltre"	0.128651
"Dean Palmer"	0.128584
"Jim Edmonds"	0.127802
"Jose Vidro"	0.127383
"B.J Surhoff"	0.126937
"Brian Daubach"	0.12693
Erstad	0.126848
"Manny Ramirez"	0.126426
"Mike Stanley"	0.125716
"Mark Grace"	0.125345
"Pat Burrell"	0.12511
"Devon White"	0.124999
"Jay Bell"	0.124942
"Derek Jeter"	0.124692
"Ron Coomer"	0.124622
"Travis Lee"	0.124604
"Tony Eusebio"	0.122877
"David Segui"	0.122728
"Mark McGwire"	0.122376
Glaus	0.122059
"David Ortiz"	0.121873
Boone	0.121719
"Marvin Benard"	0.121464
"Todd Hundley"	0.120848
"Erubiel Durazo"	0.120759
"Bill Spiers"	0.120526
"Mark McLemore"	0.119927
"Kevin Millwood"	0.119849
"Rickey Henderson"	0.119789
"Ray Lankford"	0.119788
"Neifi Perez"	0.119729
"Tony Gwynn"	0.119684
"Mike Sweeney"	0.118789
"Tony Clark"	0.118638
"Edgar Martinez"	0.118496
"Paul Konerko"	0.11848
"Mark Grudzielanek"	0.118328
"Steve Finley"	0.11811
"Sean Casey"	0.117365
"Bruce Aven"	0.116371
"Randy Velarde"	0.116207
Lankford	0.11602
"Paul O'Neill"	0.115988
"Jim Leyritz"	0.115888
"Jose Canseco"	0.115837
"Jeff Kent"	0.115698
"Chili Davis"	0.115624
"Darren Lewis"	0.115211
"Tony Graffanino"	0.114864
Lieberthal	0.114802
"Reggie Sanders"	0.114213
"Shawn Green"	0.114211
"Adam Kennedy"	0.114025
"Brad Fullmer"	0.11389
"Barry Larkin"	0.113743
Thome	0.113544
"Warren Morris"	0.113445
"Desi Relaford"	0.11299
Garciaparra	0.112972
"Dave Hansen"	0.11284
"Russ Davis"	0.112796
"Matt Franco"	0.112705
"John Vander Wal"	0.112653
"Jeff Conine"	0.112225
Alomar	0.11221
"Roberto Alomar"	0.112127
"Henry Rodriguez"	0.11206
"Lee Stevens"	0.111933
"Kenny Lofton"	0.111834
"Matt Stairs"	0.111268
Daubach	0.110985
"Tom Glavine"	0.110948
"Darryl Strawberry"	0.110823
"Albert Belle"	0.110674
"Eric Chavez"	0.110651
"Butch Huskey"	0.11052
"Pokey Reese"	0.110495
Caminiti	0.109765
"Luis Gonzalez"	0.109641
"Mark Kotsay"	0.109529
Valentin	0.109351
"Ken Griffey Jr."	0.109272
"Travis Fryman"	0.10922
"Glenallen Hill"	0.108787
"Rusty Greer"	0.108718
Giambi	0.108662
"Fernando Vina"	0.108411
"Mike Lansing"	0.107774
"Kelly Stinnett"	0.107679
"John Mabry"	0.107541
"Carl Everett"	0.106917
"Alex Rodriguez"	0.106748
"Jeff Cirillo"	0.106581
"Gary DiSarcina"	0.106316
"Jason Varitek"	0.106276
"Mark Wohlers"	0.106207
"John Smoltz"	0.106044
"Dmitri Young"	0.105983
Burnitz	0.105903
"Ruben Rivera"	0.105785
"Raul Mondesi"	0.10533
Dunston	0.105225
"John Jaha"	0.105166
"Ricky Ledee"	0.105054
"Tim Bogar"	0.104986
"Rondell White"	0.104561
"Mike Lieberthal"	0.104469
Hundley	0.103945
Piazza	0.10381
"Geoff Jenkins"	0.103666
Randa	0.103599
"Kevin Jordan"	0.103549
Zeile	0.103489
"David Bell"	0.103374
"Chad Curtis"	0.103171
"Cliff Floyd"	0.103072
Segui	0.102797
Cirillo	0.102793
"Eric Young"	0.102711
"Mike Lamb"	0.102455
"Herbert Perry"	0.102261
"Fernando Tatis"	0.102053
"Alex Gonzalez"	0.101956
"Ivan Rodriguez"	0.101634
"Richard Hidalgo"	0.101431
"Kerry Ligtenberg"	0.101282
Bordick	0.10119
Sexson	0.100888
"Ron Gant"	0.100867
Offerman	0.100797
"Ben Grieve"	0.100101
))
("Andres Gomez" (desc 1482.48) (sims
"Albert Portas"	0.274386
"Nicolas Lapentti"	0.25684
"Vincent Spadea"	0.251176
"Mariano Zabaleta"	0.250591
"Adrian Voinea"	0.248593
"Sergi Bruguera"	0.246966
"Arnaud Di Pasquale"	0.242568
"Xavier Malisse"	0.23843
"Hernan Gumy"	0.235186
"Andrei Pavel"	0.234146
"Marcelo Filippini"	0.233825
"Carlos Costa"	0.233675
"Sarah Pitkowski"	0.231274
"Nathalie Dechy"	0.230859
"Sargis Sargsian"	0.226095
"Renzo Furlan"	0.225531
"Andrei Medvedev"	0.224104
"Karim Alami"	0.222816
"Magui Serna"	0.221292
"Asa Carlsson"	0.217727
"Roger Federer"	0.217216
"Arnaud Clement"	0.216702
"Andrea Gaudenzi"	0.216216
"Tatiana Panova"	0.214914
"Naoko Sawamatsu"	0.213635
"Paola Suarez"	0.212342
"Silvia Farina"	0.211895
"Anne Kremer"	0.210986
"Arnaud Boetsch"	0.210487
"Els Callens"	0.209992
"Barbara Paulus"	0.208542
"Rita Grande"	0.208507
"Christian Ruud"	0.207278
"Gianluca Pozzi"	0.206862
"Juan Antonio Marin"	0.206533
"Younes El Aynaoui"	0.206164
"Nicole Pratt"	0.2032
"Olga Barabanschikova"	0.203138
"Jerome Golmard"	0.203075
"Jeff Tarango"	0.202785
"Michael Tebbutt"	0.202777
"Alberto Berasategui"	0.202088
"Neville Godwin"	0.201208
"Javier Sanchez"	0.200562
"Magnus Gustafsson"	0.200412
"Grant Stafford"	0.200238
"Sabine Appelmans"	0.200115
"Rika Hiraki"	0.198842
"Nicolas Escude"	0.198023
"Alberto Costa"	0.19755
"Andrew Ilie"	0.197437
"Galo Blanco"	0.196382
"Jason Stoltenberg"	0.194624
"Andreas Vinciguerra"	0.194611
"Sebastien Lareau"	0.19297
"Judith Wiesner"	0.192752
"Sjeng Schalken"	0.191161
"Kenneth Carlsen"	0.18985
"Elena Likhovtseva"	0.189652
"Rainer Schuttler"	0.189269
"Filip Dewulf"	0.189043
"Tara Snyder"	0.188962
"Magdalena Maleeva"	0.18813
"Ramon Delgado"	0.187906
"Yayuk Basuki"	0.187824
"Cara Black"	0.187807
"Mikael Tillstrom"	0.18683
"Amy Frazier"	0.186659
"Franco Squillari"	0.186066
"Stefan Edberg"	0.185799
"Mariano Puerta"	0.182723
"Fabrice Santoro"	0.182549
"Florencia Labat"	0.181843
"Scott Draper"	0.181793
"Michael Stich"	0.180299
"Guillaume Raoux"	0.179893
"Michael Chang"	0.179539
"Corina Morariu"	0.179523
"Sebastien Grosjean"	0.179402
"Richard Fromberg"	0.179177
"Barbara Rittner"	0.178372
"Jonathan Stark"	0.177479
"MaliVai Washington"	0.177385
"Anne-Gaelle Sidot"	0.176732
"Marcos Ondruska"	0.176173
"Juan Carlos Ferrero"	0.175763
"Elena Dementieva"	0.175353
Nacional	0.174999
"Mats Wilander"	0.174702
"Richey Reneberg"	0.174091
"Hicham Arazi"	0.173907
"Iva Majoli"	0.172728
"Joannette Kruger"	0.172681
"Li Fang"	0.172464
"Barbara Schett"	0.171961
"Catalina Cristea"	0.169501
"Marc Rosset"	0.169475
"Miriam Oremans"	0.169271
"Lleyton Hewitt"	0.169056
"Max Mirnyi"	0.168754
"Kristie Boogert"	0.168656
"Ruxandra Dragomir"	0.168238
"Guy Forget"	0.167134
"Daniel Nestor"	0.165846
"Kim Clijsters"	0.165563
"Arantxa Sanchez-Vicario"	0.165433
"Wayne Black"	0.165301
"Francisco Clavet"	0.164723
"Steve Campbell"	0.164081
"Gustavo Kuerten"	0.162957
"Jan-Michael Gambill"	0.162223
"Mark Knowles"	0.161457
"Ai Sugiyama"	0.161141
"Todd Martin"	0.160974
"Alexandra Fusai"	0.160206
"Arantxa Sanchez Vicario"	0.15997
"Kimiko Date"	0.159951
"Amelie Mauresmo"	0.159917
"Alex Corretja"	0.159275
"Julian Alonso"	0.158957
"Jonas Bjorkman"	0.157914
"Cedric Pioline"	0.157189
"Davide Sanguinetti"	0.156933
"Richard Krajicek"	0.15655
"Brett Steven"	0.15623
"David Prinosil"	0.156069
"Fernando Meligeni"	0.15492
"Byron Black"	0.154729
"Mark Woodforde"	0.154524
"Patty Schnyder"	0.15413
"Marat Safin"	0.154007
"Carlos Moya"	0.153859
"Natasha Zvereva"	0.153675
"Slava Dosedel"	0.152927
"Magnus Norman"	0.151981
"Thomas Enqvist"	0.151723
"Tamarine Tanasugarn"	0.150436
"Tommy Haas"	0.150259
"Paul Haarhuis"	0.14999
"Wayne Ferreira"	0.146971
"Todd Woodbridge"	0.146642
"Felix Mantilla"	0.146233
"Mirjana Lucic"	0.145676
"Rodney Eyles"	0.144325
"Brenda Schultz-McCarthy"	0.144088
"Petr Korda"	0.144056
"Leander Paes"	0.143075
"Albert Costa"	0.141737
"Nicolas Kiefer"	0.141256
"Mary Pierce"	0.141169
"Henrieta Nagyova"	0.140899
"Thomas Johansson"	0.140791
"Irina Spirlea"	0.140553
"Justin Gimelstob"	0.140515
Bruguera	0.140483
"Kveta Hrdlickova"	0.14034
"American Todd Martin"	0.139546
"Chris Woodruff"	0.138901
"Anke Huber"	0.138589
"Yevgeny Kafelnikov"	0.138423
"Dominik Hrbaty"	0.13761
"Sandrine Testud"	0.136557
"Lori McNeil"	0.136026
"Mary Joe Fernandez"	0.135358
"Rashid Sidek"	0.135254
"Goran Ivanisevic"	0.1351
"John Van Lottum"	0.134519
"Jiri Novak"	0.134357
"Bjorn Borg"	0.134166
"Julie Halard-Decugis"	0.133686
"Mahesh Bhupathi"	0.133272
"Boris Becker"	0.132862
"Thomas Muster"	0.132843
"Chanda Rubin"	0.132814
"Wayne Arthurs"	0.13171
"Jelena Dokic"	0.130908
"Nicklas Kulti"	0.130438
"Sandon Stolle"	0.13025
"Dominique Van Roost"	0.129393
"Janet Lee"	0.129337
"Jim Courier"	0.12888
"Nathalie Tauziat"	0.128838
"Daniel Vacek"	0.128606
"Jennifer Capriati"	0.128357
"Zhang Ning"	0.128184
"Adriana Gersi"	0.127998
"Karina Habsudova"	0.127283
"Tim Henman"	0.126747
"Bohdan Ulihrach"	0.125897
Swardt	0.125827
"Lisa Raymond"	0.125442
"Gong Zhichao"	0.12495
"Dennis van Scheppingen"	0.124654
"Conchita Martinez"	0.12449
"Alex O'Brien"	0.122461
Testud	0.120917
Majoli	0.120882
"Denisa Chladkova"	0.120822
"Magnus Larsson"	0.120665
Stoltenberg	0.119499
"Kostya Tszyu"	0.119306
"Barbara Schwartz"	0.118744
"Patrick Rafter"	0.118668
"Andre Agassi"	0.118606
"Susi Susanti"	0.118578
"Peter Nicol"	0.11829
"Diego Nargiso"	0.117781
"Kimberly Po"	0.117382
"Dong Jiong"	0.116214
"Jana Novotna"	0.115967
Zamalek	0.115853
Kroslak	0.115735
"Vince Spadea"	0.115238
"Jimmy Connors"	0.114164
"Peter Rasmussen"	0.114053
"Pat Rafter"	0.113983
"Helena Sukova"	0.113708
"Jansher Khan"	0.113138
Siemerink	0.11285
"Marcelo Rios"	0.112604
"Mark Philippoussis"	0.112603
Sanchez-Vicario	0.112548
"Partizan Belgrade"	0.112352
Berasategui	0.110758
"Wang Shi-Ting"	0.109357
Ulihrach	0.109016
"Jacco Eltingh"	0.108479
"Martin Damm"	0.108232
"Paulie Ayala"	0.107816
"Amanda Coetzer"	0.107723
"Paul Goldstein"	0.10662
"Ye Zhaoying"	0.106528
"Serena Williams"	0.105497
"Steffi Graf"	0.104727
"Wang Liqin"	0.104361
"Australian Mark Philippoussis"	0.103243
Kuerten	0.103142
"Greg Rusedski"	0.102852
"Olivier Delaitre"	0.102511
"Wang Chen"	0.102218
"Monica Seles"	0.100995
"Karol Kucera"	0.100567
))
("Andres Pastrana" (desc 3007.71) (sims
"Jamil Mahuad"	0.297944
"Alberto Fujimori"	0.250351
"Fernando Henrique Cardoso"	0.242055
"Kim Dae Jung"	0.236195
"Olusegun Obasanjo"	0.229384
"Hugo Chavez"	0.226609
"Ernesto Zedillo"	0.220383
"Joseph Estrada"	0.219333
"Mohammad Khatami"	0.215703
"Jacques Chirac"	0.211219
"Vojislav Kostunica"	0.198783
"Carlos Menem"	0.198672
"Thabo Mbeki"	0.186698
"Martti Ahtisaari"	0.184125
"Alexander Lukashenko"	0.176615
"Franjo Tudjman"	0.16698
"Ricardo Lagos"	0.165656
"Lamberto Dini"	0.157415
"Abdurrahman Wahid"	0.15689
"Robert Mugabe"	0.156342
"Vicente Fox"	0.154965
"Vaclav Havel"	0.153468
"Yoweri Museveni"	0.148525
"Charles Taylor"	0.145915
"Pasteur Bizimungu"	0.145804
"James P. Hoffa"	0.14314
"Vicente Fox Quesada"	0.142697
"Vladimir Putin"	0.140355
"B.J Habibie"	0.137321
"Paul Kagame"	0.136587
"Hosni Mubarak"	0.134853
"Joaquim Chissano"	0.133309
"Wang Daohan"	0.131635
Shui-bian	0.129799
"Nikola Poplasen"	0.129594
Dae-jung	0.126482
"Gerhard Schroeder"	0.126283
Rua	0.125208
"Laurent Kabila"	0.121663
"I.K Gujral"	0.121548
"Girija Prasad Koirala"	0.119489
"Gennady Zyuganov"	0.118427
"Sepp Blatter"	0.118112
"Biljana Plavsic"	0.11658
"Yoshiro Mori"	0.115856
"Paavo Lipponen"	0.113312
"Vaclav Klaus"	0.111902
"Goran Persson"	0.111777
"Romano Prodi"	0.111489
"Radu Vasile"	0.110952
"Alejandro Toledo"	0.108151
"Jose Maria Aznar"	0.107848
"Jacques Santer"	0.105833
"Jerzy Buzek"	0.105544
Klerk	0.10549
"Pierre Buyoya"	0.105056
"Ivan Kostov"	0.104603
"Pandeli Majko"	0.103802
"John Sweeney"	0.103452
"Vo Van Kiet"	0.102095
"Garry Mauro"	0.101969
"Wim Duisenberg"	0.101669
"Antonio Guterres"	0.101389
"Lech Walesa"	0.100524
"Ketumile Masire"	0.100512
"Hafez Assad"	0.100418
"John Bruton"	0.100161
"Inder Kumar Gujral"	0.099796
"Igor Sergeyev"	0.0990376
"Aslan Maskhadov"	0.0983266
"Wlodzimierz Cimoszewicz"	0.0977102
"Koo Chen-fu"	0.0972286
"Igor Ivanov"	0.0969699
"Scott Harshbarger"	0.0966708
"Linda Smith"	0.0963746
Bouteflika	0.0955466
"Klaus Kinkel"	0.0954051
"Nelson Mandela"	0.0952461
"Kamal Kharrazi"	0.0950405
"Benjamin Mkapa"	0.0940717
"Sali Berisha"	0.0938415
"Cesar Gaviria"	0.0937583
"H.D Deve Gowda"	0.0927262
"Wim Kok"	0.092617
"Yuri Luzhkov"	0.0919842
Obasanjo	0.091834
"Boris Yeltsin"	0.0908527
"Valery Pustovoitenko"	0.0895284
"Ismail Cem"	0.0893938
"Juan Antonio Samaranch"	0.0888138
Pastrana	0.088651
"Abdullah Ahmad Badawi"	0.0886292
"Dave Checketts"	0.0884612
"Sartaj Aziz"	0.0883606
"Mikulas Dzurinda"	0.0880088
"Cuauhtemoc Cardenas"	0.0879265
"Kim Jong Il"	0.0878749
"Martin Luther King III"	0.0877107
president-elect	0.0874889
"John Major"	0.0874615
"Eliot Spitzer"	0.0874032
Mahuad	0.0873703
"Mitt Romney"	0.0873047
"Suleyman Demirel"	0.0870648
"Alija Izetbegovic"	0.0855653
"Bertie Ahern"	0.0855176
"Jiang Zemin"	0.0844989
"Yitzhak Mordechai"	0.0842197
"Sam Nujoma"	0.0840787
"Ricardo Alarcon"	0.083991
"Lokendra Bahadur Chand"	0.0839285
"Harry S. Truman"	0.0836304
"Gulbuddin Hekmatyar"	0.083526
Moi	0.0828774
"Atal Behari Vajpayee"	0.0826898
"Slobodan Milosevic"	0.0824491
"Milos Zeman"	0.0823659
"Steve Ballmer"	0.082323
"Sheikh Hasina"	0.0823165
"Jenny Shipley"	0.0820772
"Lyndon B. Johnson"	0.0817551
Gujral	0.0815971
"Keizo Obuchi"	0.0815362
"Fatos Nano"	0.0812195
al-Bashir	0.0802372
"Felipe Gonzalez"	0.0800702
"Atal Bihari Vajpayee"	0.0798328
"Amr Moussa"	0.0794839
"Edmund Ho Hau Wah"	0.0791699
"Joao Havelange"	0.0789066
"Bashar Assad"	0.0787454
"David Levy"	0.0782295
"Ernie Grunfeld"	0.0780873
"Alain Juppe"	0.0778036
"Matt Fong"	0.0775089
"Costas Simitis"	0.0773967
el-Bashir	0.0772062
Patasse	0.0765662
"Benazir Bhutto"	0.0764428
"Mesut Yilmaz"	0.0762347
"Milorad Dodik"	0.0760267
"Lionel Jospin"	0.0756423
"Fidel Castro"	0.0754433
"Calvin Coolidge"	0.0753214
"Pascoal Mocumbi"	0.0747691
"Rafik Hariri"	0.0747482
"Joschka Fischer"	0.0746493
Nazarbayev	0.0742284
"Yevgeny Primakov"	0.0740812
"John F. Kennedy"	0.0740009
"Peter Vallone"	0.0737402
"Jaswant Singh"	0.0734777
"John Adams"	0.0734521
"Carlos Salinas"	0.0732003
"Victor Chernomyrdin"	0.0731229
"Tom Welch"	0.0730463
Masire	0.0728415
"Megawati Soekarnoputri"	0.0727189
"Sonia Gandhi"	0.0726329
"Phan Van Khai"	0.0725092
"Tang Jiaxuan"	0.0721783
Wahid	0.0719859
Kwasniewski	0.0717077
"Dan Lungren"	0.071599
el-Ganzouri	0.0714855
"Binyamin Netanyahu"	0.0714711
"Frank Joklik"	0.0714455
Nujoma	0.0713634
"Jean Chretien"	0.0713313
Aquino	0.0712894
"Jimmy Carter"	0.0707187
Khatami	0.0706492
al-Assad	0.0706066
"Frederick Sumaye"	0.070526
Chissano	0.0704278
"Chea Sim"	0.0703998
Dehaene	0.0703383
Samper	0.070335
"Chuan Leekpai"	0.0700686
"Chavalit Yongchaiyudh"	0.0694317
Al-Faisal	0.0693309
"Deve Gowda"	0.06924
"Paul Johnson"	0.0691796
"Andrew Johnson"	0.0686045
"Zhu Rongji"	0.0685561
"Viktor Chernomyrdin"	0.0685412
"Franklin Roosevelt"	0.0677508
"Dwight D. Eisenhower"	0.0677343
"Ung Huot"	0.0677294
"Bashkim Fino"	0.0676159
Katsav	0.0675121
"Robin Cook"	0.0670869
"Pedro Rossello"	0.0669568
Stoyanov	0.0669416
"Mikhail Gorbachev"	0.0668914
Bashir	0.0667522
Aleman	0.0664765
"Abdul Karim Kabariti"	0.0664715
"Julius Nyerere"	0.0664181
"Gerald Ford"	0.0663289
))
(Andretti (desc 4302.76) (sims
Zanardi	0.235364
"Michael Andretti"	0.225551
Franchitti	0.208456
Kenseth	0.184015
Labonte	0.181531
Jarrett	0.172919
Vasser	0.169401
Earnhardt	0.165282
Herta	0.163001
Montoya	0.151925
Mayfield	0.150441
Irvan	0.149305
Waltrip	0.143713
Brack	0.143161
"Earnhardt Jr."	0.141892
"Tony Stewart"	0.141309
"Jimmy Vasser"	0.138557
"Bobby Labonte"	0.136906
Pruett	0.130535
Bodine	0.127333
Cheever	0.125403
"Jeff Burton"	0.122791
"Alex Zanardi"	0.122011
"Rusty Wallace"	0.117708
"Billy Boat"	0.117175
Biffle	0.116889
"Greg Ray"	0.115459
Gordon	0.115401
Hakkinen	0.115008
"Dale Jarrett"	0.114544
"Adrian Fernandez"	0.114164
rudd	0.113964
Coulthard	0.113481
Makinen	0.110921
Irwin	0.109367
Hornaday	0.108383
Krayzelburg	0.107754
Skinner	0.107705
Foyt	0.107292
Schumacher	0.107129
Kjus	0.107032
"Mike Skinner"	0.106319
"Arie Luyendyk"	0.106221
"Mark Martin"	0.105533
Rahal	0.105483
Villeneuve	0.103844
Unser	0.103413
Boldon	0.103347
Burton	0.103329
Klim	0.102805
"Greg Moore"	0.102776
Luyendyk	0.102611
Devers	0.101799
"Dale Earnhardt"	0.100145
Julich	0.099684
Khannouchi	0.0980558
Schrader	0.0980161
"Dario Franchitti"	0.0977164
Doohan	0.0976301
"Jeff Gordon"	0.0970418
O'Meara	0.0949121
Sainz	0.0946353
"Ward Burton"	0.0939657
"Ricky Rudd"	0.0915132
Pantani	0.0901695
Ainge	0.0893714
"Jeremy Mayfield"	0.0893334
Janzen	0.0890164
"Bill Elliott"	0.0886929
"Kyle Petty"	0.0870469
Schmitt	0.0870246
Cota	0.086566
Dragila	0.086561
"David Coulthard"	0.0864147
Tanui	0.0863717
Appleby	0.0853894
Jalabert	0.084837
Aamodt	0.0847737
Hartsburg	0.0846023
Meissnitzer	0.0845881
"Kenny Irwin"	0.084345
"Michael Schumacher"	0.0842867
"Jacques Villeneuve"	0.083669
Laudrup	0.0829839
Moreno	0.081398
Stewart	0.0812543
Maier	0.0812425
Paxon	0.0811994
Atler	0.0811902
Wallace	0.0809465
Hendrickson	0.080773
Robson	0.0806159
Butyrskaya	0.0805972
"Scott Goodyear"	0.0804007
Pippig	0.0802413
"MIka Hakkinen"	0.0801167
estes	0.0800454
Brister	0.0799575
Passarella	0.0796637
Gimelstob	0.0796569
Fleischer	0.0791556
Hyman	0.0789635
Solis	0.0787367
Sadler	0.0783437
Summitt	0.0779367
Cipollini	0.0779233
Ayala	0.0777969
"Al Unser Jr."	0.077752
Loroupe	0.0776171
Solich	0.0775417
petty	0.0773397
Maggert	0.077223
Fernandez	0.0772223
"Pernilla Wiberg"	0.0770666
Samuelson	0.0768656
Andreychuk	0.0765615
Elliott	0.0760191
"La Russa"	0.075976
Guerra	0.0759678
Inkster	0.0759423
"Dale Earnhardt Jr."	0.0756115
"Christian Fittipaldi"	0.0754508
"Paul Tracy"	0.0753508
Kuchar	0.0752147
Calcavecchia	0.0747281
Kuerten	0.0747228
Mickelson	0.0747115
Gwynn	0.0744544
Olazabal	0.0739775
Joyner-Kersee	0.0738867
Shoate	0.0738583
"El Guerrouj"	0.0737742
"Eddie Irvine"	0.0735448
beamer	0.0734585
Soyinka	0.0730575
Harmon	0.0729124
"Richard Petty"	0.0728947
Hussain	0.0727718
Driscoll	0.0726465
Gogel	0.072393
Perec	0.0723084
Heyns	0.0721972
Schmid	0.0720931
Boilermakers	0.0718752
Lepage	0.0718101
Dodd	0.0710372
Azinger	0.070953
Holdsclaw	0.0708101
Stoudamire	0.0706278
Drexler	0.0704958
Ceballos	0.0704619
Sorenstam	0.0700653
Sooners	0.0699421
"Juan Montoya"	0.0697796
"Scott Sharp"	0.0697024
Popov	0.0695646
Phills	0.0687783
Pak	0.0687134
Chilavert	0.0686168
Menard	0.0685255
Lehane	0.0685003
Sahadi	0.0683954
Molinari	0.0683469
Mallon	0.0683279
"Ernie Irvan"	0.0682725
Scelzi	0.068232
Bierhoff	0.0682292
"John Andretti"	0.0679938
"Li Jiajun"	0.0679897
Hepburn	0.0679821
Kafelnikov	0.06795
Ullrich	0.0678144
Pincay	0.0676885
"Adam Petty"	0.0676754
McCormack	0.0676647
Seizinger	0.0675235
Tomey	0.0674539
Penske	0.0673235
Ditka	0.0672297
Parnevik	0.0672234
Harnisch	0.0670956
Tracy	0.0670909
"Colin McRae"	0.066815
"Terry Labonte"	0.0666896
Gullikson	0.0666621
McGinnis	0.0666151
Bowden	0.0665806
Faldo	0.0663484
Ivanisevic	0.0661143
Jauron	0.0660902
Agassi	0.0660378
Sasser	0.0658842
Cowan	0.065839
Langham	0.065775
"Scott Pruett"	0.0657472
Andrade	0.0656436
Virenque	0.0656206
Sharpe	0.0656034
Ertl	0.0656004
"Darrell Waltrip"	0.0655915
))
(Andrew (desc 16629.2) (sims
William	0.11746
Brian	0.110979
Michael	0.109881
Matthew	0.10748
David	0.106478
Paul	0.105759
Richard	0.104852
Daniel	0.103182
Robert	0.10186
Danny	0.101073
Peter	0.101065
Steven	0.100991
Joshua	0.0994885
Edward	0.0992466
Nicholas	0.0990523
Patrick	0.0989726
Jason	0.0983881
John	0.0980147
James	0.0972892
Joseph	0.0970247
Gary	0.0962975
Phillip	0.0944015
Philip	0.0941405
Justin	0.0939782
Tim	0.0939498
Jeff	0.0938921
Anthony	0.0936587
Stephen	0.0932857
Evan	0.0913506
Christopher	0.0910121
Albert	0.0906518
Carl	0.0905874
Walter	0.0901995
Andrei	0.0901362
Charles	0.0899939
Brett	0.0891169
Andy	0.0886476
Jim	0.0883613
Luke	0.087854
George	0.0859052
Ralph	0.085849
Jonathan	0.0855289
Jimmy	0.08508
Kevin	0.084672
Steve	0.0844426
Jeffrey	0.0841451
Scott	0.0840202
Jamie	0.083803
Josh	0.0836778
Gerald	0.0827033
Eric	0.081982
Jeremy	0.0817296
Harry	0.0815808
Larry	0.0809891
Zachary	0.0806933
Alan	0.0804004
Sean	0.0800847
Henry	0.0800454
Owen	0.0796508
Sam	0.0796201
Adam	0.0795365
Nicolas	0.0795316
Frank	0.0789153
Ian	0.0788669
Dennis	0.0788053
Chris	0.0787483
Jeb	0.0786013
Alex	0.0783132
matt	0.0781338
Arthur	0.0772483
Alexander	0.0772106
Ryan	0.0768044
tom	0.0767435
Jacob	0.0761562
Greg	0.0756884
Julie	0.0755426
Joe	0.0751196
Aaron	0.0749799
Jackie	0.0743177
Gregory	0.0740067
Barry	0.0739961
Kenny	0.0738421
Craig	0.0733237
Ronald	0.0729983
Jessica	0.0729114
Roger	0.0727254
jack	0.0726883
Andre	0.0725877
Gail	0.0724952
Thomas	0.0724508
Susan	0.0723671
mike	0.0723423
Billy	0.0721875
Wayne	0.0721606
Marty	0.0719716
Hugh	0.0719127
Juan	0.0717967
Bruce	0.0716211
Ben	0.0715424
Sarah	0.0714842
BOB	0.0714643
Ramon	0.0712015
Amy	0.0711473
Bobby	0.0711011
Louis	0.07071
Bret	0.0706871
Marc	0.0704858
Jennifer	0.0704029
Benjamin	0.0701166
Neil	0.0700851
"John Jr."	0.0694737
Fred	0.0694474
Emily	0.0693329
Ted	0.06929
Kyle	0.0691491
Gerard	0.068921
Ali	0.0680733
Todd	0.0680722
Brandon	0.0679549
Cody	0.0673209
Rick	0.0672119
Ivan	0.0664605
Ellen	0.066335
Tyler	0.066218
Simon	0.0662059
Travis	0.0661802
Donald	0.0660739
Julian	0.066026
Jake	0.0660131
Samuel	0.0658554
don	0.0658206
Terry	0.0658047
Isaac	0.0658012
Manuel	0.0657379
Mary	0.0656247
Eddie	0.0655544
Jose	0.0655458
timothy	0.0654525
Edgar	0.0652724
Raymond	0.0651172
"George W."	0.0650083
Randy	0.0648878
Hussein	0.0647936
Johnny	0.0645867
Maurice	0.0645365
Lisa	0.0643563
Gabriel	0.0643065
Max	0.0642789
Isaiah	0.0641347
Linda	0.0639832
Mitch	0.0639481
Tony	0.0639427
Marvin	0.063607
Kenneth	0.0636029
Katie	0.0635296
Abdullah	0.06333
Joey	0.0631686
Julia	0.0629758
Rusty	0.062953
Frederick	0.062921
nick	0.0628616
Barbara	0.0626297
Robbie	0.0625744
Karl	0.0625679
Amanda	0.0624938
Allan	0.0624269
Oliver	0.0623956
Tommy	0.0623456
Brent	0.0623446
Hans	0.0621464
Jerry	0.0620441
Harold	0.0620196
Cameron	0.0620086
Roy	0.0620037
Phil	0.0618602
Lawrence	0.0615734
Hassan	0.0615651
Floyd	0.0613541
Arnold	0.0612711
Vladimir	0.0612474
Casey	0.061194
Laura	0.0611919
Dave	0.0610244
Dan	0.0609618
Michelle	0.0608638
Doris	0.0608036
Keith	0.060763
Stella	0.0607063
franklin	0.0606533
Kelly	0.060596
Ron	0.0600567
Martha	0.0600099
Derek	0.059748
Theo	0.0596852
Ibrahim	0.059577
Howard	0.0595393
Vincent	0.0595268
Danielle	0.0595064
Dylan	0.0593979
Harvey	0.05927
))
("Andrew Carnegie" (desc 1440.09) (sims
"Gianni Agnelli"	0.226929
"Vladimir Gusinsky"	0.151779
"Silvio Berlusconi"	0.148028
"William Randolph Hearst"	0.127592
Ka-shing	0.115176
"John Malone"	0.0940954
"Henry Ford"	0.0923249
"Lucio Tan"	0.0916027
"Ethel Kennedy"	0.0858838
"Frank Stronach"	0.0848654
"Boris Berezovsky"	0.0801082
"Craig McCaw"	0.0796465
"Eli Broad"	0.0784371
"Rupert Murdoch"	0.0769446
"Howard Milstein"	0.0712555
stanchion	0.0628557
"Michael Dell"	0.061961
"Richard Branson"	0.061857
"Ron Burkle"	0.0600655
D-W.Va.	0.0568426
"Robert F. Kennedy"	0.0553816
"George Soros"	0.055229
"David Geffen"	0.0537818
"Jerry Colangelo"	0.0526395
"Benjamin Franklin"	0.052164
"Tung Chee-Hwa"	0.0501969
Krupp	0.0497809
louver	0.0481763
"Sigmund Freud"	0.0481562
"Standard Oil"	0.0477459
"guitar player"	0.0472837
"Rick Rockwell"	0.0469221
"Howard Hughes"	0.0449342
"Teddy Roosevelt"	0.0448383
"John Kim"	0.0441785
"R.J Reynolds"	0.0440328
"Dale Bumpers"	0.0419853
DKB	0.0415548
"Bernie Ecclestone"	0.0411269
"James Hormel"	0.0404283
))
("Andrew Coltart" (desc 1975.17) (sims
"Paul Lawrie"	0.221822
"Jarmo Sandelin"	0.203322
"Miguel Angel Jimenez"	0.197183
"Jean Van de Velde"	0.196833
"Padraig Harrington"	0.149924
"Peter Nicol"	0.143166
"Darren Clarke"	0.128927
"Craig Parry"	0.127616
"Colin Montgomerie"	0.121941
"Colin McRae"	0.113076
"Ian Woosnam"	0.108117
"Jim Furyk"	0.105215
"Justin Leonard"	0.104399
"Sergio Garcia"	0.102197
"David Coulthard"	0.0996512
"Jesper Parnevik"	0.095624
"Brian Watts"	0.0941262
"Lee Westwood"	0.0861595
"Phil Mickelson"	0.0834854
Lawrie	0.0829605
"Bernhard Langer"	0.0826643
"Dario Franchitti"	0.0795644
"Jose Maria Olazabal"	0.0794767
"Nick Faldo"	0.0793609
"Frank Nobilo"	0.0780989
"Ernie Els"	0.0738055
"Bruce Fleisher"	0.0713675
Cink	0.070958
Langham	0.0709126
"Nick Price"	0.0704286
"Tim Herron"	0.0689809
"Bob Tway"	0.0684235
"Mark Williams"	0.0683562
"Justin Rose"	0.0677771
"Loren Roberts"	0.0676861
"Payne Stewart"	0.0649821
"Mark Calcavecchia"	0.0643984
"Van de Velde"	0.0642565
"Fred Couples"	0.0641481
Parnevik	0.0640008
Gogel	0.0639611
"Hal Sutton"	0.0637564
"Carlos Franco"	0.0636916
Hoch	0.0632346
"Hu Weidong"	0.0628468
"Fred Funk"	0.0623074
"Tyler Hamilton"	0.0615529
"Billy Mayfair"	0.0612342
"Davis Love III"	0.0611259
"Li Na"	0.0607977
"Yu Zhuocheng"	0.0606092
"John Daly"	0.0601149
"Meg Mallon"	0.0599702
"Craig Stadler"	0.0596578
"Betsy King"	0.0595482
O'Meara	0.0585165
"Casey Martin"	0.0583682
"David Duval"	0.0581311
"Ma Lin"	0.0580737
"Mike Weir"	0.0575806
"Andrew Magee"	0.0575267
"Simona Amanar"	0.0569987
"Anita Wachter"	0.0568631
Alfredsson	0.0567991
"Larry Mize"	0.0565021
"Hale Irwin"	0.0563323
"Rocco Mediate"	0.0562359
"Scott Dunlap"	0.0562278
Mallon	0.0555703
"Vijay Singh"	0.054528
"Dong Jiong"	0.0541686
"Mark Brooks"	0.0539879
"Laura Davies"	0.0536914
"Steve Elkington"	0.0535884
"Hilde Gerg"	0.0532477
"Shannon MacMillan"	0.0531758
"Dana Quigley"	0.0528309
"Greg Norman"	0.0527873
"HANK KUEHNE"	0.0527786
"Larry Nelson"	0.0526798
"Paul Azinger"	0.0526217
"Steve Pate"	0.0521899
Stadler	0.0519974
"Tom Lehman"	0.0518408
"Stewart Cink"	0.0517581
"Ebenezer Ekuban"	0.0517467
"Seve Ballesteros"	0.0513321
"Juha Kankkunen"	0.0506606
"Lu Yufu"	0.0505602
Jimenez	0.0504075
Majerle	0.0502488
"Stuart Appleby"	0.0496515
"Amelie Mauresmo"	0.0488477
"Dirk Nowitzki"	0.0486335
"Se Ri Pak"	0.0485785
Calcavecchia	0.0484219
"Ralf Schumacher"	0.0483011
"Raymond Floyd"	0.048179
Quigley	0.0478628
"Lasse Kjus"	0.0475525
Faldo	0.0472031
"Velez Sarsfield"	0.0471421
"Brenden Morrow"	0.0470086
"Brad Faxon"	0.0468639
Olazabal	0.0467438
"Scarlet Knights"	0.0466837
"Tom Kite"	0.0465886
"Michael Dickerson"	0.0465441
"Nancy Lopez"	0.0464642
"Claudia Pechstein"	0.0461731
Ozaki	0.0459694
Andrade	0.0458977
Montgomerie	0.0458218
"Dara Torres"	0.0455299
Dougherty	0.0452105
"Gong Zhichao"	0.0450845
"Chris Perry"	0.0449749
"Mookie Blaylock"	0.0448126
"Guo Jingjing"	0.0446251
"Sebastian Janikowski"	0.0444061
"Thomas Bjorn"	0.0443109
Zuelle	0.0442369
"Moses Tanui"	0.0440955
"Michael Olowokandi"	0.0440204
Minutemen	0.0440056
"Francisco Cordova"	0.0438808
"Antawn Jamison"	0.0438806
"Tyronn Lue"	0.0437027
"Didier Auriol"	0.0435402
"Helen Alfredsson"	0.0432499
"Jeff Maggert"	0.0431972
"Sherri Steinhauer"	0.0431156
"Brett Steven"	0.0431093
MacInnis	0.0430587
"Jon Drummond"	0.0429009
Inman	0.0428647
Durant	0.0428547
"Liu Guoliang"	0.0427372
"Wang Yan"	0.042698
"Inger Miller"	0.0425332
Maruyama	0.0425293
Tarango	0.0424922
Barrasso	0.0424478
"Raef LaFrentz"	0.0421986
"JEVON KEARSE"	0.0421211
"standard bearer"	0.0420952
"Xia Xuanze"	0.0420359
"Donna Andrews"	0.0420123
Szczerbiak	0.0419133
"Rashard Lewis"	0.0418503
"Wang Tao"	0.041754
"Corina Morariu"	0.0417215
"Karrie Webb"	0.041672
"Ong Ewe Hock"	0.041585
"Scott Goodyear"	0.0414965
"Li Ju"	0.0413865
Obilic	0.0413815
"Paul Gascoigne"	0.0413583
Berasategui	0.0411716
"Keith Van Horn"	0.0410692
"Corey Maggette"	0.0410181
"Heinz-Harald Frentzen"	0.0409587
Nailon	0.0409267
"Arnaud Clement"	0.0408586
Kuchar	0.0405146
"Martina Ertl"	0.0405145
"Kjetil Andre Aamodt"	0.0404002
"Olin Browne"	0.0403765
"Isao Aoki"	0.0402943
Utes	0.0402405
"Chen Gang"	0.0400257
Grbac	0.0400092
))
("Andrew Cuomo" (desc 2000.83) (sims
"Donna Shalala"	0.227379
"Henry Cisneros"	0.182424
"Jia Qinglin"	0.173678
"Rodney Slater"	0.166721
"Robin Cook"	0.162325
"Huang Ju"	0.157041
"Mo Mowlam"	0.156286
"Peter Mandelson"	0.155095
"Betty Currie"	0.148378
"Orlando Mercado"	0.147404
"Robert E. Rubin"	0.147146
"Michael Portillo"	0.145174
"Anson Chan"	0.138605
"Lawrence Summers"	0.136675
"William Bennett"	0.127546
"George Robertson"	0.124712
"Jack Straw"	0.124399
"Chris Smith"	0.123653
"Michael Heseltine"	0.115001
"Bill Richardson"	0.113251
"Stuart Eizenstat"	0.111764
"Khin Nyunt"	0.108165
"William Daley"	0.107692
"Ron Brown"	0.105889
"Dan Glickman"	0.105297
"William Perry"	0.102221
"Mike Espy"	0.101839
"Bruce Babbitt"	0.0960716
"Lloyd Bentsen"	0.0957669
"Tin Oo"	0.0938003
Cuomo	0.0935913
"John Prescott"	0.0921129
"Alexis Herman"	0.0889529
"Robert Rubin"	0.0885867
"Alexander Lebed"	0.0882292
"Robert Reich"	0.0863763
"Robert Aventajado"	0.0797086
Comptroller	0.0795415
"William Cohen"	0.0794984
Daley	0.0763334
"Dick Cheney"	0.0752316
Siazon	0.0728092
"Peter Vallone"	0.0711373
"Wei Jianxing"	0.0692861
D-R.I.	0.0685713
Verney	0.0682259
"Rick Perry"	0.0668447
"Alexander Hamilton"	0.066502
"John Morris"	0.065897
"Jack Kemp"	0.0658144
"Federal Security Service"	0.0656478
"Lamar Alexander"	0.0652715
Flores	0.0611897
"Bob Taft"	0.0611515
"Hubert Vedrine"	0.0610378
Caldera	0.0602493
Olga	0.0596431
Aoki	0.0593516
"William Hague"	0.0590294
Babbitt	0.0586065
Begala	0.057175
Sylvia	0.0570305
"Richard Cheney"	0.0568718
"Robert Ray"	0.0567356
"Eric Holder"	0.0562732
"cabinet member"	0.0559314
Shalala	0.0557979
"Jim Florio"	0.0552685
Glickman	0.0550738
directors-general	0.0545847
"John Engler"	0.0542787
"deputy manager"	0.0540259
"Vernon Jordan"	0.0539389
Inhofe	0.0539361
"Wolfgang Schaeuble"	0.0539335
"Elizabeth Dole"	0.0524873
"Richard Blumenthal"	0.0521802
"Vernon E. Jordan Jr."	0.0521024
"Yitzhak Molcho"	0.0520077
Condit	0.0514535
SEABROOK	0.0511106
"Chinese Communist Party (CPC) Central Committee"	0.0505319
"Lionel Jospin"	0.0505053
"Mikhail Kasyanov"	0.0504239
"Defense William Cohen"	0.0502516
"drug czar"	0.0498719
"Sergei Stepashin"	0.0496991
"Yoshiro Mori"	0.0495073
"John Lewis"	0.0490771
Badillo	0.0487641
Mandelson	0.0487468
"Gene Sperling"	0.0486918
Heyward	0.0486103
"Madeleine Albright"	0.0484036
"Eliot Spitzer"	0.0481537
Coverdell	0.0481467
Marquez	0.0477085
"James Johnson"	0.0473886
Stolle	0.047318
Fleischer	0.0467821
"John G. Rowland"	0.0467078
"Rod Grams"	0.0457135
"Condoleezza Rice"	0.0455931
"John Sweeney"	0.0455448
confidant	0.0449534
"Cesar Gaviria"	0.0448961
Labastida	0.0448512
"John F. Kennedy School of Government"	0.0447488
"Dennis Vacco"	0.0446615
"John Shalikashvili"	0.0446275
"Sam Wyly"	0.0445695
"David Beasley"	0.0443163
Hasan	0.0442874
"George E. Pataki"	0.0442205
"Edward Kennedy"	0.0440766
Demaci	0.0440538
Eubanks	0.043976
"Olympia J. Snowe"	0.043886
Currie	0.0436486
"Tung Chee-Hwa"	0.0434383
"John Rowland"	0.0433857
Brittan	0.0433159
Feldman	0.0432449
Jorgensen	0.0431699
Wilhelm	0.0430126
Hamid	0.0430041
"Daily Racing Form"	0.0429079
"Connie Mack"	0.0428509
"Charles Rangel"	0.0428253
"Warren Rudman"	0.042776
Ahmad	0.0427236
"Abdulsalami Abubakar"	0.0423251
"Political Bureau"	0.0420757
Lynne	0.0419717
"Communist Youth League of China"	0.0419429
Mowlam	0.0418451
Venecia	0.0418215
"George Tenet"	0.0414794
"Joschka Fischer"	0.0412877
Feingold	0.041245
"Tom Ridge"	0.0411795
"Gary Hart"	0.0410963
"Pandeli Majko"	0.0409861
Pangalos	0.0409298
"Mike McCurry"	0.0409245
Koch-Weser	0.040886
"Bob Jones"	0.0407294
auditor-general	0.0406449
"Joseph Estrada"	0.0404667
beautician	0.0404578
"Bernard Kouchner"	0.0402857
Deutch	0.0401981
Boueiz	0.0401016
))
("Andrew Golota" (desc 1622.18) (sims
"Lou Savarese"	0.212509
"Michael Moorer"	0.187385
"Frank Bruno"	0.180231
"Lennox Lewis"	0.179283
"Michael Grant"	0.158519
"Francois Botha"	0.153588
"Shannon Briggs"	0.147055
"Riddick Bowe"	0.135149
"Oliver McCall"	0.133884
"Vaughn Bean"	0.129029
"Larry Holmes"	0.12712
"Shane Mosley"	0.126184
"Axel Schulz"	0.123919
"Henry Akinwande"	0.121129
"Orlin Norris"	0.112088
"Julius Francis"	0.0996083
"Evander Holyfield"	0.0976975
"Pernell Whitaker"	0.0972142
"George Foreman"	0.0955123
"Buster Douglas"	0.0911405
Campas	0.0879023
Bowe	0.0872928
"Mike Tyson"	0.0768845
"Wlodzimierz Cimoszewicz"	0.0744895
Moorer	0.0686697
Savarese	0.0669603
"Felix Savon"	0.0644645
"boxing match"	0.0634503
"Ike Quartey"	0.0618038
"Oba Carr"	0.0580897
"Telecom Corp."	0.0562995
Quartey	0.0549907
zloty	0.0542964
"Julio Cesar Chavez"	0.0538433
Goossen	0.0536739
"Oscar De La Hoya"	0.0522356
resister	0.0514936
"Sonny Liston"	0.0508654
Hearns	0.0500116
"Rocky Marciano"	0.0496531
"Jerzy Buzek"	0.049548
Marciano	0.0460889
"Sugar Ray Leonard"	0.0458209
"Australian Mark Philippoussis"	0.0456039
"American Chanda Rubin"	0.0454137
Finkel	0.0451016
"Fernando Vargas"	0.0450786
Lennox	0.0446786
"Felix Trinidad"	0.0444823
"Consumer Electronics Show"	0.0440756
par-@s	0.0438455
"Kostya Tszyu"	0.0426847
"Mike Cloud"	0.0426579
"Joe Louis"	0.0421542
"College of Charleston"	0.0420659
vote-getters	0.041949
"Montana State"	0.0416578
m.p.h	0.0415153
"Mark Williams"	0.0406764
"more than six"	0.0405249
knockdown	0.0402508
"David Reid"	0.0401151
))
("Andrew Ilie" (desc 1596.03) (sims
"Sandon Stolle"	0.391164
"Scott Draper"	0.38338
"Richard Fromberg"	0.376936
"Michael Tebbutt"	0.370129
"Todd Woodbridge"	0.359592
"Mark Woodforde"	0.356226
"Albert Portas"	0.346836
"Nicole Pratt"	0.346762
"Andrei Pavel"	0.329366
"Kim Clijsters"	0.328803
"Jason Stoltenberg"	0.326823
"Rainer Schuttler"	0.326038
"Vincent Spadea"	0.324809
"Andreas Vinciguerra"	0.321809
"Wayne Arthurs"	0.307328
"Carlos Costa"	0.303076
"Magui Serna"	0.302663
"Franco Squillari"	0.302486
"Younes El Aynaoui"	0.29983
"Neville Godwin"	0.298075
"Tatiana Panova"	0.297204
"Mariano Zabaleta"	0.29483
"Karim Alami"	0.294038
"Ramon Delgado"	0.293919
"Lleyton Hewitt"	0.293839
"Christian Ruud"	0.293524
"Adrian Voinea"	0.291016
"Grant Stafford"	0.289273
"Tara Snyder"	0.285796
"Anne Kremer"	0.285223
"Guillaume Raoux"	0.284931
"Richey Reneberg"	0.283555
"Florencia Labat"	0.2832
"Nathalie Dechy"	0.281871
"Jeff Tarango"	0.27972
"Olga Barabanschikova"	0.278649
"Asa Carlsson"	0.278431
"Magdalena Maleeva"	0.278358
"Hernan Gumy"	0.278258
"Arnaud Di Pasquale"	0.277412
"Sarah Pitkowski"	0.276995
"Arnaud Clement"	0.276987
"Juan Carlos Ferrero"	0.276267
"Marcelo Filippini"	0.274793
"Juan Antonio Marin"	0.274576
"Mariano Puerta"	0.274376
"Xavier Malisse"	0.273474
"Judith Wiesner"	0.273068
"Sebastien Grosjean"	0.270073
"Wayne Black"	0.270022
"Nicolas Escude"	0.268233
"Mark Knowles"	0.267664
"Francisco Clavet"	0.266886
"Sabine Appelmans"	0.266583
"Els Callens"	0.264831
"Mark Philippoussis"	0.262917
"Pat Rafter"	0.262721
"Leander Paes"	0.261806
"Fabrice Santoro"	0.26122
"Max Mirnyi"	0.261136
"Alberto Costa"	0.259999
"Yayuk Basuki"	0.258918
"Sebastien Lareau"	0.257951
"Gianluca Pozzi"	0.257779
"Joannette Kruger"	0.257761
"Rita Grande"	0.257562
"Jerome Golmard"	0.257513
"Catalina Cristea"	0.257472
"Filip Dewulf"	0.2571
"Barbara Rittner"	0.256996
"Cara Black"	0.256333
"Steve Campbell"	0.256065
"Li Fang"	0.255735
"Elena Likhovtseva"	0.254783
"Kenneth Carlsen"	0.253937
"Silvia Farina"	0.253536
"Rodney Eyles"	0.251741
"Arnaud Boetsch"	0.251455
"Kristie Boogert"	0.251256
"Jonathan Stark"	0.250653
"Jelena Dokic"	0.248538
"Elena Dementieva"	0.247854
"Roger Federer"	0.24666
"Renzo Furlan"	0.245152
"Miriam Oremans"	0.24379
"Alexandra Fusai"	0.243496
"Julian Alonso"	0.242795
"Sergi Bruguera"	0.241906
"Naoko Sawamatsu"	0.239953
"Tamarine Tanasugarn"	0.238193
"Daniel Nestor"	0.237706
"Marcos Ondruska"	0.236795
"Sjeng Schalken"	0.236001
"Galo Blanco"	0.235712
"Alberto Berasategui"	0.233664
"Paul Haarhuis"	0.233531
"Brett Steven"	0.231173
"Sargis Sargsian"	0.231026
"Amy Frazier"	0.230812
"Paola Suarez"	0.230147
"David Prinosil"	0.229939
"Davide Sanguinetti"	0.228261
"Mikael Tillstrom"	0.227491
"Jan-Michael Gambill"	0.226035
"Nicolas Lapentti"	0.225663
"Barbara Paulus"	0.224521
"Ruxandra Dragomir"	0.224138
"Corina Morariu"	0.223864
"Guy Forget"	0.22319
"Hicham Arazi"	0.220379
"Tommy Haas"	0.21962
"Fernando Meligeni"	0.217505
"Andrea Gaudenzi"	0.216257
"Chanda Rubin"	0.216092
"Chris Woodruff"	0.215839
"Nicolas Kiefer"	0.214681
"Olivier Delaitre"	0.21325
"Andrei Medvedev"	0.212741
"Jonas Bjorkman"	0.211011
"Paul Goldstein"	0.210868
"Thomas Enqvist"	0.208831
"Javier Sanchez"	0.208273
"Barbara Schwartz"	0.207702
"Felix Mantilla"	0.207212
"Byron Black"	0.206064
"Kveta Hrdlickova"	0.204391
"Thomas Johansson"	0.204143
"Alex O'Brien"	0.204012
"MaliVai Washington"	0.203855
"Magnus Gustafsson"	0.203255
"Rika Hiraki"	0.202659
"Mahesh Bhupathi"	0.201595
"Julie Halard-Decugis"	0.201562
"Vince Spadea"	0.200991
"Marc Rosset"	0.19815
"Andres Gomez"	0.197437
"Natasha Zvereva"	0.19725
"Todd Martin"	0.196974
"Patrick Rafter"	0.196572
"Michael Stich"	0.193715
"Dennis van Scheppingen"	0.193399
"Ai Sugiyama"	0.193109
"Albert Costa"	0.193093
"John Van Lottum"	0.192844
"Mirjana Lucic"	0.192479
"Jacco Eltingh"	0.192043
"Wayne Ferreira"	0.191142
"Brenda Schultz-McCarthy"	0.190451
"Dominique Van Roost"	0.190352
"Lisa Raymond"	0.189677
"Anne-Gaelle Sidot"	0.189301
"Marat Safin"	0.188822
"Amelie Mauresmo"	0.18807
"Barbara Schett"	0.186948
"Janet Lee"	0.186196
"Stuart O'Grady"	0.185342
"Kimberly Po"	0.185336
Swardt	0.184526
"Magnus Norman"	0.18449
"Jim Courier"	0.183619
"Sandrine Testud"	0.183606
"Patty Schnyder"	0.18299
"Adriana Gersi"	0.18191
"Lori McNeil"	0.180093
"Nicklas Kulti"	0.179612
"Anke Huber"	0.17855
"Helena Sukova"	0.177439
"Justin Gimelstob"	0.174099
"Mary Joe Fernandez"	0.173995
"Cedric Pioline"	0.173689
"Alex Corretja"	0.173463
Siemerink	0.172698
"Irina Spirlea"	0.172607
"Daniel Vacek"	0.170629
"Dominik Hrbaty"	0.168351
"Slava Dosedel"	0.168087
"Jiri Novak"	0.167546
"Iva Majoli"	0.165684
"Bohdan Ulihrach"	0.164873
"Greg Rusedski"	0.164503
"Karina Habsudova"	0.164124
"Magnus Larsson"	0.162268
"Kimiko Date"	0.162228
"Henrieta Nagyova"	0.16212
"Stefan Edberg"	0.162004
"Partizan Belgrade"	0.161703
"Emma George"	0.160894
"Martin Damm"	0.160509
"Larisa Neiland"	0.155871
"Michael Chang"	0.153823
"Richard Krajicek"	0.153633
"Mats Wilander"	0.153266
"Conchita Martinez"	0.152974
"Goran Ivanisevic"	0.15282
"Alexandra Stevenson"	0.152572
"Diego Nargiso"	0.152039
"Thomas Muster"	0.151114
"Tim Henman"	0.150981
"Denisa Chladkova"	0.150739
Bruguera	0.149487
"Petr Korda"	0.148777
Nacional	0.148124
"Nathalie Tauziat"	0.146007
"Carlos Moya"	0.1454
"Mary Pierce"	0.144831
"Wang Shi-Ting"	0.144772
"Jennifer Capriati"	0.144143
"Amanda Coetzer"	0.142718
"Arantxa Sanchez-Vicario"	0.141807
"Yevgeny Kafelnikov"	0.141351
Kroslak	0.138964
Berasategui	0.13865
Habsudova	0.136526
"Sandra Kleinova"	0.136461
Zamalek	0.135507
Dragomir	0.134924
"Katarina Studenikova"	0.134922
Stoltenberg	0.132874
Halard-Decugis	0.132169
Olimpia	0.132088
"Anna Kournikova"	0.13194
"Olympiakos Piraeus"	0.131854
"Gustavo Kuerten"	0.131205
Prinosil	0.131026
"Karol Kucera"	0.130838
Ulihrach	0.130657
Testud	0.130563
"Gong Ruina"	0.130273
"Michael Doohan"	0.128219
"David Palmer"	0.127499
"Zhang Ning"	0.126332
Independiente	0.1262
"Arantxa Sanchez Vicario"	0.123689
"David Rikl"	0.123339
Hrbaty	0.119867
Clavet	0.119549
Sugiyama	0.119112
Penarol	0.118183
Mauresmo	0.117579
"Marcelo Rios"	0.117371
"Slavia Prague"	0.116827
Anderlecht	0.116278
"Boris Becker"	0.115969
Haarhuis	0.1157
"Peter Nicol"	0.115513
"Boca Juniors"	0.114812
"Jana Novotna"	0.112748
"Michael Klim"	0.112418
"Ong Ewe Hock"	0.111136
"American Todd Martin"	0.110996
"Xia Xuanze"	0.110673
Sanchez-Vicario	0.110545
"Colo Colo"	0.110397
Raoux	0.1103
"Velez Sarsfield"	0.110277
"Bjorn Borg"	0.109454
"Li Ju"	0.109255
"Andre Agassi"	0.109114
"Serena Williams"	0.108228
"Vladimir Samsonov"	0.107968
"Chen Jing"	0.107828
Mantilla	0.107606
"Fung Permadi"	0.105195
"VfB Stuttgart"	0.104925
Gustafsson	0.104468
Santoro	0.104075
"Martin Lee"	0.104061
Palmeiras	0.102997
"AEK Athens"	0.102835
"Joko Suprianto"	0.102267
"Venus Williams"	0.102107
"Monica Seles"	0.101854
"Spartak Moscow"	0.101386
Gremio	0.101286
"Taufik Hidayat"	0.100793
Heerenveen	0.100729
"Gong Zhichao"	0.100597
Woodforde	0.100365
))
("Andrew Jackson" (desc 2733.87) (sims
"Abraham Lincoln"	0.189455
"Benjamin Franklin"	0.157064
"Franklin Delano Roosevelt"	0.152993
"John Adams"	0.147298
"Dwight Eisenhower"	0.135193
"Herbert Hoover"	0.132138
"Theodore Roosevelt"	0.131436
"John Quincy Adams"	0.121447
"Franklin D. Roosevelt"	0.121291
"Teddy Roosevelt"	0.117514
"James Madison"	0.115004
"Thomas Jefferson"	0.1127
"Lyndon Johnson"	0.110003
"George Washington"	0.109273
"Ulysses S. Grant"	0.105257
"John F. Kennedy"	0.103448
"Dwight D. Eisenhower"	0.0983776
"Alexander Hamilton"	0.0941013
"Gerald Ford"	0.0934928
"Robert E. Lee"	0.0887345
"Winston Churchill"	0.0867911
"Jimmy Carter"	0.0867399
"John Kennedy"	0.0849977
"Richard M. Nixon"	0.0844808
"Ronald Reagan"	0.0811888
"Harry Truman"	0.0799012
"Lyndon B. Johnson"	0.0794889
"William Jefferson Clinton"	0.0764125
"French Revolution"	0.0740244
Eisenhower	0.0730788
"Alexander the Great"	0.0719311
"Andrew Johnson"	0.0713054
"Calvin Coolidge"	0.071255
Zeroual	0.0692611
"Sally Hemings"	0.068456
"Franklin Roosevelt"	0.0641336
"Woodrow Wilson"	0.0635955
Stephanopoulos	0.0634116
"Mahatma Gandhi"	0.0628322
Nazarbayev	0.0613269
"Ricardo Alarcon"	0.0602969
Nebiolo	0.0598441
"Joao Havelange"	0.059574
Mitterrand	0.0589524
"James P. Hoffa"	0.0587907
"Thomas Edison"	0.0582874
Samper	0.0576815
FDR	0.0575784
Santer	0.0574814
"Hafez Assad"	0.0572524
"founding father"	0.0568403
"Robert F. Kennedy"	0.0567756
"Martti Ahtisaari"	0.0567052
Rafsanjani	0.0561037
"Martin Luther King Jr."	0.055652
"Fidel Castro"	0.0548017
"League of Nations"	0.0547078
"Kim Dae Jung"	0.0539792
"Richard Nixon"	0.0539577
"Idi Amin"	0.0537745
Nujoma	0.053725
"Emily Dickinson"	0.0536945
Chissano	0.0535595
"Ayatollah Khomeini"	0.053415
"Steve Ballmer"	0.0533834
"Ferdinand Marcos"	0.0533771
Napoleon	0.0533636
Sampaio	0.0528401
Hinckley	0.0527644
Akayev	0.0525405
Bouteflika	0.0522355
"Yoshiro Mori"	0.0517475
Coolidge	0.0514627
"Mobutu Sese Seko"	0.0512173
"Bernie Ecclestone"	0.0509157
Aristide	0.0505556
"Frank Joklik"	0.0505199
"George McGovern"	0.0504439
Truman	0.0503195
Aleman	0.0502661
"Henry James"	0.0502509
"Dave Checketts"	0.0500722
Gachet	0.0497562
"Carmen Policy"	0.0492162
Obasanjo	0.0490044
McKinley	0.0489784
"Princess Diana"	0.0489393
"Ho Chi Minh"	0.0489327
"Nelson Mandela"	0.0488391
"Carlos Menem"	0.0487874
"Jacques Chirac"	0.0485823
Nyerere	0.0481713
Roosevelt	0.0481691
Muluzi	0.0481329
"Hugo Chavez"	0.0481326
"Jamil Mahuad"	0.0481136
"Charles Darwin"	0.0480855
"Mohamed Siad Barre"	0.0476842
"Harry S. Truman"	0.0476422
Menem	0.047539
Sharma	0.0475116
"Vaclav Havel"	0.0471888
"Robert Kennedy"	0.0471164
"United Republic of Tanzania"	0.0466919
"Aslan Maskhadov"	0.0466224
"Wim Duisenberg"	0.0465989
"Jack Valenti"	0.0465355
Postel	0.0462919
Frei	0.0462744
"Sam Houston"	0.04618
RFK	0.0461514
"Truman Capote"	0.0461155
"plantation owner"	0.0460524
"Vincent van Gogh"	0.0459064
"Boris Yeltsin"	0.0457249
"Thabo Mbeki"	0.0456987
Abiola	0.0456097
"Biljana Plavsic"	0.0453593
"Joseph Estrada"	0.0452619
Lukashenko	0.045057
"Lech Walesa"	0.0450408
"Herman Melville"	0.044953
Bedie	0.0449032
Havel	0.0448445
"Adolf Hitler"	0.0448352
"Margaret Thatcher"	0.0448185
"Christopher Columbus"	0.0446148
Goldwater	0.0444512
"Ketumile Masire"	0.044425
"John Lennon"	0.0442698
"John Sweeney"	0.0442434
"Josef Stalin"	0.0441821
Confucius	0.0439446
"Fernando Henrique Cardoso"	0.0438363
"Sepp Blatter"	0.0437954
"Abdurrahman Wahid"	0.043623
"Julius Nyerere"	0.0435896
"Sali Berisha"	0.0433626
"Franjo Tudjman"	0.0433321
Kumaratunga	0.0433014
"Walt Whitman"	0.0432529
Eyadema	0.0430612
"Elizabeth Dole"	0.0430449
first-grader	0.042933
"Barry Goldwater"	0.0428929
"Ernest Hemingway"	0.0426239
Margolis	0.0425946
"Mohammad Khatami"	0.0424715
Karimov	0.0424488
"Francis Bacon"	0.0423681
"Juan Antonio Samaranch"	0.0423414
Rugova	0.0422967
"Joaquim Chissano"	0.0421687
Narayanan	0.0420867
"Alexander Lukashenko"	0.042081
"Charles Taylor"	0.0420552
"Nikola Poplasen"	0.0418454
"Rajiv Gandhi"	0.0418247
confederacy	0.0417886
Klestil	0.0416985
"Jacques Santer"	0.0416089
Lenin	0.0415212
Cardoso	0.0414503
Kwasniewski	0.0412587
"Ricardo Lagos"	0.0410323
"Ernesto Zedillo"	0.0409885
"Congressional Republicans"	0.0408934
"Charlton Heston"	0.0408013
"Genghis Khan"	0.0407649
Carey	0.0407311
Heston	0.0406313
"Mitt Romney"	0.0405449
"Laurent Fabius"	0.0404864
Patasse	0.0403856
"Andres Pastrana"	0.0403465
Masire	0.0403086
Gadhafi	0.0402551
Kaunda	0.0401191
"Bobby Kennedy"	0.0400801
"Edgar Allan Poe"	0.0400554
))
("Andrew Johnson" (desc 4746.72) (sims
"Lyndon Johnson"	0.161353
"William Jefferson Clinton"	0.153323
"Gerald Ford"	0.14267
"Richard Nixon"	0.123006
"John F. Kennedy"	0.12065
"Richard M. Nixon"	0.116111
"Harry Truman"	0.114294
"Lyndon B. Johnson"	0.112977
"Jimmy Carter"	0.106747
Eisenhower	0.0949053
"Herbert Hoover"	0.0904406
Nixon	0.0898104
"John Quincy Adams"	0.0867404
"Dwight Eisenhower"	0.0861021
"Louise Woodward"	0.0845434
"Bill Clinton"	0.0842715
"Richard Ashby"	0.0839756
"Franklin Delano Roosevelt"	0.0834286
"Kim Dae Jung"	0.0833178
"James P. Hoffa"	0.0822251
"Jacques Santer"	0.0819268
"Ronald Reagan"	0.0816516
"Aslan Maskhadov"	0.0815622
"Mike Espy"	0.0812839
"Franklin Roosevelt"	0.0811675
"Dwight D. Eisenhower"	0.0809534
"Abdollah Nouri"	0.0803817
Nouri	0.080282
Cheung	0.0794586
Nikitin	0.0794213
"John Kennedy"	0.0790603
"Wim Duisenberg"	0.0788254
"Biljana Plavsic"	0.0775628
Berenson	0.0773708
"Martti Ahtisaari"	0.0769979
Hofer	0.0762317
"Sepp Blatter"	0.0760109
"O.J Simpson"	0.0759842
Cubas	0.0758488
"Jamil Mahuad"	0.0754899
"Mikhail Gorbachev"	0.075369
Deri	0.0752446
"Susan McDougal"	0.075244
"George Bush"	0.0749329
Livoti	0.0747955
"John Sweeney"	0.0744348
Watergate	0.0732923
"Thabo Mbeki"	0.0729982
"Frank Joklik"	0.072804
"Carlos Salinas"	0.0726624
"Tom Welch"	0.0717619
"Andrew Jackson"	0.0713054
"Dave Checketts"	0.0704801
"Joseph Estrada"	0.0690676
"Mohammad Khatami"	0.068876
Hastings	0.0687001
"Juan Antonio Samaranch"	0.0686398
"Vaclav Havel"	0.0686267
"Andres Pastrana"	0.0686045
Klerk	0.0681169
"Ernesto Zedillo"	0.0680562
Malan	0.0677537
Mohajerani	0.0674189
"Terry Nichols"	0.0665036
McDougal	0.0663739
Karbaschi	0.0661912
"Franjo Tudjman"	0.0661245
"Laurent Fabius"	0.0653224
"Ernie Grunfeld"	0.0650524
"Manuel Noriega"	0.0645895
Reagan	0.0645186
"Mohamed Siad Barre"	0.0640234
"Timothy McVeigh"	0.063803
"Fernando Henrique Cardoso"	0.0637178
"Robert Mugabe"	0.0635499
"B.J Habibie"	0.0626546
"Walter Mondale"	0.0624307
Mitnick	0.0624009
"Gary Graham"	0.0622964
"Steve Ballmer"	0.062121
"Jacques Chirac"	0.0618529
"George McGovern"	0.0618291
"Franklin D. Roosevelt"	0.0610862
"Joao Havelange"	0.0606536
"Hafez Assad"	0.0606098
"Harry S. Truman"	0.0603735
Espy	0.0601864
"Olusegun Obasanjo"	0.0600278
Agca	0.0594291
Lukashenko	0.0593679
"President of the United States"	0.0592312
Symington	0.059177
"Lech Walesa"	0.0591647
Schwarz	0.0591181
"Iranian Jews"	0.0591082
"Nikola Poplasen"	0.0590417
"Teddy Roosevelt"	0.0588925
"John William King"	0.0588052
Manbar	0.0587874
"Ulysses S. Grant"	0.0587645
Marcos	0.0584742
"Nelson Mandela"	0.0581536
Cisneros	0.0581531
"Abdurrahman Wahid"	0.0579952
Lacresha	0.0579187
Sheppard	0.0573548
"Russell Peeler"	0.0571902
Papon	0.0571429
"Boris Yeltsin"	0.056793
"Ricardo Alarcon"	0.0564461
"Ketumile Masire"	0.0562664
Sukarno	0.0561944
Gritz	0.0561436
Mikhailov	0.055935
Sakic	0.0557954
"Carmen Policy"	0.0556629
Unabomber	0.0553474
"Theodore Roosevelt"	0.0550086
"Julius Nyerere"	0.0544957
McVeigh	0.0543059
"Alberto Fujimori"	0.0541359
"Thomas Jefferson"	0.0540836
"Mitt Romney"	0.0540329
"Franz Beckenbauer"	0.0539713
Brock	0.0539315
"Vladimir Putin"	0.0538124
Mehmet	0.0536137
Mease	0.0534849
"Edwin Edwards"	0.0534138
Biko	0.0533191
"Hubert Humphrey"	0.0532345
"George Washington"	0.0529158
Gotti	0.0528249
"Adolf Eichmann"	0.0527189
Faulder	0.0526876
"Abraham Lincoln"	0.0523444
Imelda	0.0520816
"Chea Sim"	0.0520075
McGinn	0.0519986
"Maria Hsia"	0.0517507
Bucaram	0.0517003
Woodward	0.0515529
"Alexander Lukashenko"	0.0513142
"John Adams"	0.0512041
Suharto	0.0508183
"Scott Harshbarger"	0.0508025
McKinney	0.0507209
Jelisic	0.0506094
Nkabinde	0.0499996
"Gary Hart"	0.0499494
Robison	0.0496903
"Jeremy Greenstock"	0.0495703
"Charlton Heston"	0.0494711
"Angel Maturino Resendiz"	0.0490712
"Jack Valenti"	0.0489916
"Sonia Gandhi"	0.0487986
chun	0.048748
"Ferdinand Marcos"	0.0485933
"Tom Johnson"	0.0485933
"Ray Lewis"	0.0485024
"Anwar Ibrahim"	0.0485006
Eichmann	0.0484678
"Alija Izetbegovic"	0.0483544
"Charles Taylor"	0.0483151
Hsia	0.0480389
Nichols	0.0478424
Cruz	0.0476096
Dae-jung	0.0476049
Stayner	0.0473484
"James Barksdale"	0.0473009
"Bashar Assad"	0.047237
Blackthorne	0.0471856
"Pasteur Bizimungu"	0.0470011
"Mel Karmazin"	0.0468748
Wahid	0.0468415
"Sali Berisha"	0.0468348
"Paul Kagame"	0.0466056
Zhivkov	0.046562
"Adlai Stevenson"	0.0465274
"Ta Mok"	0.0465173
"Hugo Chavez"	0.0463462
Neulander	0.046189
Yandarbiyev	0.0459999
"Pierre Buyoya"	0.0459538
"Julie Hiatt Steele"	0.0459449
Bowers	0.0459164
co-defendant	0.0456083
Samper	0.045559
"Alexander Hamilton"	0.0453676
Trie	0.0452813
"Carlos Menem"	0.045275
"Calvin Coolidge"	0.0452249
Montiel	0.0450253
Lissouba	0.0449816
Rao	0.0448049
Keating	0.0447571
"Ricardo Lagos"	0.0446881
"Kim Il Sung"	0.0446881
"Woodrow Wilson"	0.0446296
"typhoid fever"	0.0445457
))
("Andrew Lloyd Webber" (desc 2425.74) (sims
"Frank Wildhorn"	0.187749
"Leonard Bernstein"	0.171085
"Philip Glass"	0.142666
"Lloyd Webber"	0.139492
"Irving Berlin"	0.13766
"John Williams"	0.137023
Hammerstein	0.128009
"Elton John"	0.122363
"Cole Porter"	0.11813
"Stephen Sondheim"	0.117689
"Bob Fosse"	0.0956245
LaChiusa	0.0921144
Sondheim	0.0874447
"John Cage"	0.087411
"George Gershwin"	0.0833744
Wildhorn	0.0830503
"Andre Previn"	0.0781922
Stravinsky	0.0767458
"Duke Ellington"	0.0767278
Seuss	0.0724231
Mendelssohn	0.0723364
Berlioz	0.0689531
"Burt Bacharach"	0.0688586
"Paul Simon"	0.0670606
"Randy Newman"	0.0667662
Bernstein	0.0658538
"David Mamet"	0.0651731
"Fred Astaire"	0.0631217
"John Adams"	0.0629417
Ravel	0.0620964
lyricist	0.0613686
DVORAK	0.0598581
Evita	0.0594445
"Lincoln Center Theater"	0.0591484
"Gene Kelly"	0.0577584
Mozart	0.0567898
"Tom Stoppard"	0.0566016
"Akira Kurosawa"	0.0563784
Flaherty	0.0553754
Beethoven	0.0548627
"Harold Pinter"	0.0548554
"Tennessee Williams"	0.0540094
off-Broadway	0.0537608
"David Hare"	0.0525773
"Wendy Wasserstein"	0.0518119
"Aaron Copland"	0.0516912
"Pierre Boulez"	0.0512806
Britten	0.050322
"Nat King Cole"	0.0500648
"Benny Goodman"	0.0490475
Tchaikovsky	0.0487464
"Wynton Marsalis"	0.0486452
Gershwin	0.04855
"Judy Garland"	0.0483404
Messiaen	0.048147
"Off Broadway"	0.0477769
Handel	0.0468137
Kurosawa	0.0451518
Bach	0.0448103
Phish	0.0447679
"Terrence McNally"	0.0445899
"Paul Schrader"	0.0444945
"Phil Collins"	0.0444831
MAMET	0.044377
"Marx Brothers"	0.0442276
"Ricky Martin"	0.0435453
Copland	0.0434325
Fosse	0.0434047
"Samuel Beckett"	0.0433616
"Woody Guthrie"	0.0431035
Livent	0.0430103
Footloose	0.0429804
Ellington	0.042375
"first pitcher"	0.0423477
Paltrow	0.0419271
Rodgers	0.0415936
Stroganoff	0.0414762
Chopin	0.0409697
"Van Morrison"	0.0408735
Telluride	0.0407152
"Noel Coward"	0.0406861
Gilead	0.0400134
))
("Andrew Magee" (desc 1774.11) (sims
"Steve Stricker"	0.269146
"Fred Couples"	0.249795
"Phil Mickelson"	0.236169
"Hal Sutton"	0.227662
"Brad Faxon"	0.222473
"Nick Price"	0.215724
"Justin Leonard"	0.19636
"Chris Perry"	0.192742
"Steve Pate"	0.190037
"Jim Furyk"	0.189511
"Bob Tway"	0.177254
"Lee Janzen"	0.171829
"John Daly"	0.171142
"David Duval"	0.170639
"Jeff Maggert"	0.168974
"Scott Hoch"	0.164199
"Tim Herron"	0.164062
"Davis Love III"	0.162971
"Ernie Els"	0.161659
"Tom Lehman"	0.161349
"Bill Glasson"	0.158606
"Steve Elkington"	0.15447
"Jesper Parnevik"	0.152562
"Vijay Singh"	0.151003
"Mark Calcavecchia"	0.148726
"Tom Kite"	0.145279
"John Huston"	0.14525
"Fred Funk"	0.145082
"Jeff Sluman"	0.144633
"Bob Estes"	0.139998
Magee	0.134823
"Colin Montgomerie"	0.132259
"Bernhard Langer"	0.127831
"Greg Norman"	0.127621
"Payne Stewart"	0.123347
"Nick Faldo"	0.116744
"Billy Andrade"	0.114748
"Lee Westwood"	0.113437
"Mark O'Meara"	0.112756
"Rocco Mediate"	0.112304
"Mike Weir"	0.112027
"Loren Roberts"	0.109187
"Mark Brooks"	0.105977
"Frank Nobilo"	0.105015
"Fuzzy Zoeller"	0.104971
Huston	0.100587
"Craig Stadler"	0.0996176
"Steve Jones"	0.098811
"Darren Clarke"	0.0960725
"Davis Love"	0.0951237
"Stewart Cink"	0.0935415
Montgomerie	0.0889718
"Paul Azinger"	0.0862617
"Craig Parry"	0.0853751
"Carlos Franco"	0.0838526
"John Cook"	0.0833469
"Jay Haas"	0.0820358
"Larry Mize"	0.0802283
Duval	0.0795457
"Billy Mayfair"	0.0790458
"Peter Jacobsen"	0.0767966
"Olin Browne"	0.0760385
"Jose Maria Olazabal"	0.0752904
"Tom Watson"	0.0751574
"Stuart Appleby"	0.0751216
"Paul Lawrie"	0.0743159
Mickelson	0.0731965
Stricker	0.0730815
"Brian Watts"	0.0721442
"Sergio Garcia"	0.0718947
Sutton	0.0716869
Singh	0.0715395
"Nancy Lopez"	0.0713824
Waldorf	0.0689116
"Curtis Strange"	0.0683003
"Scott Dunlap"	0.0681292
"Corey Pavin"	0.0671615
"Seve Ballesteros"	0.0633711
"Billy Wilder"	0.0605
"Angelo Taylor"	0.0588686
"Andrew Coltart"	0.0575267
"Li Na"	0.0567077
Pate	0.0552062
Elkington	0.0548438
Langham	0.0548076
"Hale Irwin"	0.053788
"Casey Martin"	0.0536549
"Shigeki Maruyama"	0.0532525
"David Graham"	0.0514997
"David Frost"	0.0509831
Lawrie	0.0508215
"Scott Goodyear"	0.0497182
"Ben Crenshaw"	0.0486206
"Dana Quigley"	0.0484102
"Scott Verplank"	0.0479468
"Meg Mallon"	0.0475614
Stadler	0.0474687
"Doug Christie"	0.0459382
Hoch	0.0452255
"Jean Van de Velde"	0.044281
Durant	0.0437281
"Mark James"	0.0432016
Parnevik	0.0430757
"Kim Taek Soo"	0.0422914
"Mariano Zabaleta"	0.0420953
Chuasiriporn	0.0409247
"Ian Woosnam"	0.0403295
Felton	0.0402258
))
("Andrew Morton" (desc 1410.53) (sims
"Edmund Morris"	0.179646
"Kevin Williamson"	0.11141
"John Reed"	0.0923522
"Aaron Sorkin"	0.0849943
"David Remnick"	0.0834788
"Alan Ball"	0.0766712
"Ernest Hemingway"	0.0763547
"Betty Comden"	0.0737036
"Neil Simon"	0.0707211
"David Halberstam"	0.0696347
"Salman Rushdie"	0.0692287
"Steven Brill"	0.068074
"George Carlin"	0.0672951
"Stephen King"	0.066397
"TOM CLANCY"	0.0650612
Clapton	0.0645172
"J.D Salinger"	0.0642277
"Wole Soyinka"	0.0629101
"Tom Wolfe"	0.0612104
"La Vida Loca"	0.0611276
Seuss	0.0609286
"David Irving"	0.0598682
"Charlie Norwood"	0.059072
"Eudora Welty"	0.0568021
"J.K Rowling"	0.0557125
"David E. Kelley"	0.0546465
"Joe Murray"	0.0545999
Ambrose	0.054396
"Arthur Miller"	0.0538489
"George Will"	0.0533381
"Lou Dobbs"	0.0529887
"Dodi Fayed"	0.0519319
Epstein	0.0518525
"Bob Woodward"	0.0515003
"Jack Kerouac"	0.0509745
Lipstadt	0.0504871
O'Neil	0.0501591
"Paul Schrader"	0.049868
"Gail Collins"	0.0497411
"Lu Xun"	0.0490342
"Larry McMurtry"	0.0490168
Allchin	0.0482327
clematis	0.0481035
"Edward R. Murrow"	0.0480768
"Scott Ritter"	0.0476587
"Andrei Babitsky"	0.0469692
"John Grisham"	0.0458817
"Richard Wright"	0.0454456
gossiping	0.0453806
"Isabel Allende"	0.0452495
"E.L Doctorow"	0.0451984
"Raymond Chandler"	0.0447413
"Maya Angelou"	0.0444178
"Lamar Smith"	0.0430559
Maritz	0.0429374
"State Administration of Taxation"	0.0428784
"Gertrude Stein"	0.0427207
Brokaw	0.0426826
"Graham Greene"	0.0422165
Saint-Exupery	0.0416081
"John Irving"	0.0413469
"National Convention Executive Council"	0.0409994
Salinger	0.0400618
))
("Andrew Ramirez" (desc 1755.11) (sims
barrios	0.100355
Ramirez	0.0825904
"petrol bomb"	0.080062
"Maxine Waters"	0.0770013
Gonzales	0.0751063
"Pervez Musharraf"	0.0721696
spec	0.0689505
PFC	0.0668612
"Mary Bono"	0.0654972
DeGeneres	0.0638671
Dodi	0.0602836
"Molotov cocktail"	0.0597053
"Michelle Williams"	0.058672
"Anita DeFrantz"	0.0578116
"Nancy Pelosi"	0.0552213
Hamlin	0.0545462
Derek	0.0542973
"field hospital"	0.052222
"business processe"	0.0515912
Andrei	0.051224
Maj.-Gen.	0.0507814
"one of the boys"	0.0507602
"Pervaiz Musharraf"	0.0502188
romano	0.0497017
Pacificare	0.048636
"Trey Parker"	0.0482456
"Lenny Krayzelburg"	0.048158
"exotic dancer"	0.0479241
"Henry Shelton"	0.0476412
"Lee Atwater"	0.0474393
Brody	0.0474186
octuplets	0.0464949
"Carolyn Bessette Kennedy"	0.0460759
"Luke Skywalker"	0.0455904
"Wesley Clark"	0.0455349
"staff sergeant"	0.0450046
"Derrick Thomas"	0.0437875
Pvt	0.0436696
driftwood	0.0436281
infirmary	0.0432815
"Lisa Leslie"	0.043009
Evan	0.0427153
"James Rogan"	0.0426488
Matchbox	0.0422072
"Matthew Shepard"	0.0414684
"Loretta Sanchez"	0.0414268
Erik	0.0407177
ex-mayor	0.0403666
Edgar	0.0402804
))
("Andrew Young" (desc 1878.34) (sims
"Richard C. Holbrooke"	0.160724
"Li Zhaoxing"	0.159622
"Yuri Luzhkov"	0.1413
"Jia Qinglin"	0.133732
"Qin Huasun"	0.131794
"Jeremy Greenstock"	0.120182
"Henry Cisneros"	0.105107
"Willie Brown"	0.102342
"Vladislav Jovanovic"	0.0959161
"Christopher Hill"	0.0925647
Sha	0.0923351
"Roy Romer"	0.0922921
"Wang Yingfan"	0.0916878
"Harvey Weinstein"	0.0908444
Ekeus	0.0897952
"Martin Luther King III"	0.0842211
"Cuauhtemoc Cardenas"	0.0839869
"Charlene Barshefsky"	0.0827723
Sahnoun	0.0799122
"Julian Bond"	0.0790103
"Long Yongtu"	0.0758894
"Robert Gelbard"	0.075801
"Roy Barnes"	0.0757788
"Warren Rudman"	0.075364
Qin	0.0751493
"Paul Johnson"	0.074759
Levesque	0.0739921
"Sam Nunn"	0.0734115
"Rolf Ekeus"	0.0727163
Tevanian	0.0720607
"Rudolph Giuliani"	0.0715774
"Jamil Mahuad"	0.0715199
Rendell	0.0710732
"Bill Richardson"	0.0709198
Luzhkov	0.0698621
"David Duke"	0.0692602
Menino	0.0687252
Safir	0.0686506
"Richard Holbrooke"	0.0673306
Daley	0.0655758
Ruehe	0.065555
"Jerry Brown"	0.0654564
"Vladimir Yakovlev"	0.0630324
"Lee Hsien Loong"	0.0625857
"Dore Gold"	0.0625135
"J.C. Watts"	0.0619822
"Rick White"	0.061139
"Brent Scowcroft"	0.0607545
Pickering	0.0605818
"Al Sharpton"	0.0605645
"Laura Bush"	0.0600946
"Wolfgang Petritsch"	0.0599643
"Alan Keyes"	0.059839
"Defense William Cohen"	0.0590916
"Norman Schwarzkopf"	0.058647
Wilhelm	0.0585447
Surin	0.0563097
"Alija Izetbegovic"	0.0562046
"Vernon E. Jordan Jr."	0.0561373
"Yegor Stroyev"	0.0559239
"civil rights leader"	0.0551515
Marulanda	0.0548986
"Amnuay Virawan"	0.0544595
Ratner	0.0538751
Riordan	0.0538355
"Andres Pastrana"	0.0538119
"Coretta Scott King"	0.0537914
"George E. Pataki"	0.0536953
Flynn	0.0536939
"Joseph Bruno"	0.0536822
"Mikhail Gorbachev"	0.0535889
Catacosinos	0.0533489
Condit	0.053146
"Jack Kemp"	0.0527133
"Hubert Humphrey"	0.0524957
"Hashim Thaci"	0.052104
"Yossi Sarid"	0.0520644
"Gary Locke"	0.0519893
D-S.D.	0.0516449
"Eddie Mathews"	0.0512026
"Archbishop Desmond Tutu"	0.0511901
Pearce	0.0511184
Bedell	0.0508029
"Bernard Kouchner"	0.0506394
D-Mo.	0.0504453
Bliley	0.0497965
"Ted Kennedy"	0.0495197
Meguid	0.0493068
Hevesi	0.0491407
Burleigh	0.049127
Mellon	0.0490895
"Rudy Giuliani"	0.0489206
Fassett	0.0488552
"William Walker"	0.0487273
Zuma	0.0486073
"Grigory Yavlinsky"	0.0484245
Brogna	0.0483494
"Ieng Sary"	0.0481846
"Wang Yeping"	0.0480741
"Congressional Black Caucus"	0.0479831
"Than Shwe"	0.047873
"Huang Ju"	0.0478564
Tarawneh	0.0475921
"Colin Powell"	0.047501
"Jon Corzine"	0.0473443
"Ansumane Mane"	0.0473393
"Alexander Lebed"	0.0473298
Shevardnadze	0.0473297
Leavitt	0.0468042
Laney	0.0467139
Akayesu	0.0466928
Rua	0.0466463
"Oded Eran"	0.0464376
"Carl Bildt"	0.0464028
"Lincoln Chafee"	0.0463659
DeFrantz	0.0462707
"Maxine Waters"	0.046227
Ginsberg	0.0460279
"Roberto Clemente"	0.0459782
Almeida	0.0459029
"Amien Rais"	0.0458766
"Billy Payne"	0.0458334
Chafee	0.0457428
Bildt	0.0457392
Kennard	0.0456008
Rawabdeh	0.0453847
"Carlos Westendorp"	0.0452959
Ebersol	0.0452385
Djindjic	0.0452137
Neilson	0.0451276
Schmalensee	0.0449299
"Louis Farrakhan"	0.0448147
"Quincy Jones"	0.0447935
"Dick Gephardt"	0.0447583
"Zbigniew Brzezinski"	0.0447224
"Osman Ali Atto"	0.044545
"Zoran Djindjic"	0.0445323
Rais	0.0443687
Rudman	0.0442512
D-Ga.	0.0442311
"Martin McGuinness"	0.0441553
Cleese	0.0440882
Hume	0.0440383
R-Alaska	0.0438411
Hendrick	0.0437364
"Vladimir Zhirinovsky"	0.0436608
"Wei Jianxing"	0.0435501
"Maung Aye"	0.0435466
"John Hume"	0.0435447
"Richard Durbin"	0.0434525
"Thomas Pickering"	0.0434182
"Secretary General Boutros Boutros-Ghali"	0.0433907
"Pedro Rossello"	0.0433767
"David Geffen"	0.0432615
"Fehmi Agani"	0.0431613
Zeng	0.0430949
"Condoleezza Rice"	0.0430738
Koop	0.0430338
Mohamed	0.0430044
"postmaster general"	0.0429925
"John Lewis"	0.0429884
Chretien	0.0429436
"Marzuki Darusman"	0.0428752
"Stuart Eizenstat"	0.0426884
"John Reed"	0.0426598
Giordano	0.0425168
"government officials"	0.0425106
"Richard Gephardt"	0.0423882
"James Baker"	0.0423871
Kasoulides	0.042346
Shareh	0.0421366
"Gennady Seleznyov"	0.0420503
Fiddes	0.0420502
Sorensen	0.0420389
R-Miss.	0.0420165
"Secretary General Esmat Abdul-Meguid"	0.0419559
Heston	0.0419557
"Jim Jones"	0.0418973
Kodikian	0.0418839
"George Ryan"	0.0418541
Cardenas	0.041796
Barksdale	0.0417496
"Bill Lann Lee"	0.0417246
Bruton	0.0416977
R-N.J.	0.0416686
"Jim Nicholson"	0.0416667
Colburn	0.0416638
Izetbegovic	0.0416489
Donohue	0.0414924
Indyk	0.0414719
Cooley	0.0413202
Huggins	0.0412378
Mello	0.0411939
"David Dreier"	0.041168
Ikimi	0.0410915
"Ian Paisley"	0.0410892
"Chief Executive Tung Chee-hwa"	0.040969
Khrushchev	0.0409568
"Stan Musial"	0.0409462
Nateq-Nouri	0.0408761
))
(Andrews (desc 4479.1) (sims
Cline	0.0866646
Wolfson	0.0858686
Farber	0.0855083
Weiner	0.0840474
Grossman	0.0834777
Weil	0.0814446
Brazile	0.080766
"Mount Pleasant"	0.0796039
Advani	0.0794558
Wiggins	0.0785783
Jensen	0.0783377
Stephenson	0.0779397
Sutherland	0.0778123
Ackerman	0.0776848
Jobe	0.0776429
Sorensen	0.0766623
Vogel	0.0758563
Arbour	0.0755636
Markovic	0.074797
bock	0.0747712
Rosenthal	0.0746559
Mendez	0.0744927
Cleary	0.0744807
Gogel	0.0739698
ASHEVILLE	0.073773
Bowen	0.0734575
Bragg	0.0730276
Rupert	0.0729357
Eizenstat	0.0727342
Boone	0.0724349
Lange	0.072244
Menchu	0.0720116
Meissner	0.0711031
Kurth	0.0710472
Princeville	0.0708729
Hybl	0.0707558
Cornelius	0.0706715
Cary	0.0704108
Harman	0.0703635
Barrett	0.0702756
Tilberis	0.0701615
Velayati	0.069418
Feldman	0.0686711
Reimer	0.06851
Tuttle	0.0684685
Yarnall	0.0683548
Hardy	0.0683174
Alarcon	0.0682262
Sykes	0.0681311
Valenzuela	0.0680322
Merritt	0.0679993
Greenwald	0.0679662
Dowd	0.0679046
Lowry	0.0677966
Keller	0.0676274
McGuire	0.0674475
murphy	0.0673743
Braswell	0.0671755
Fleischer	0.066797
Betts	0.0667829
Nilsson	0.0667698
Peters	0.0666944
Schoeneweis	0.0666409
Jaffe	0.0665528
Walton	0.0665049
HELLER	0.0664929
Godfrey	0.0664552
Patten	0.0663183
Rosen	0.0661313
Singson	0.065921
Grunwald	0.0658527
Langham	0.0654771
Ruehe	0.0654529
fuller	0.0653736
Townsend	0.0651024
Barad	0.0651016
Lowery	0.0650873
Waxman	0.0649699
McDonnell	0.0649454
Barrymore	0.0648302
Sibley	0.0648143
Goldin	0.0647851
Fagan	0.0646935
Verney	0.0646871
Davie	0.0646708
Kouchner	0.0646563
Michel	0.06463
Jewell	0.0643501
Hidalgo	0.0643454
Giles	0.0643436
Molinari	0.0642447
Pearce	0.0640475
Aoki	0.0639077
Henning	0.0638034
Schwartz	0.0637823
Engel	0.0636171
"High Point"	0.0635847
Spitzer	0.0635589
Chu	0.0634479
Sheehan	0.0634064
Hirsch	0.0633963
Hodges	0.0633963
Paterson	0.063222
Judd	0.0631477
Ono	0.0630924
Rodionov	0.0629514
Romar	0.0628702
Shulman	0.0625223
Markey	0.062454
Woodard	0.062394
Newhouse	0.0623211
Ellsworth	0.0621333
Cleese	0.0620811
Saunders	0.0620787
Goossen	0.0619765
Hanna	0.0618253
Salisbury	0.0617684
Rutherford	0.0617189
Kissinger	0.0616798
Drexler	0.0616427
Larson	0.0614104
Rylander	0.0612807
Wexler	0.061275
Flanagan	0.061225
Diaz	0.0611651
Oliveira	0.0610931
Evans	0.0610535
Cowan	0.0610375
Kohn	0.061006
Morton	0.0609131
Watson	0.0608731
Donohue	0.0608601
Hecht	0.0608517
Kagalovsky	0.06081
Briscoe	0.0606581
Paxon	0.0606501
Gallo	0.0605524
Bowers	0.0605234
Shapiro	0.0604737
Gillespie	0.0603291
Goldberg	0.0603087
estes	0.0602849
McGinnis	0.0602652
Steinberg	0.0600409
Barshefsky	0.0600117
Andreychuk	0.0598669
Erickson	0.0597356
Scharping	0.0597124
Koop	0.0596656
Reyes	0.0596157
Shalala	0.0595987
Farrell	0.0595423
Freedman	0.0594275
Maynard	0.0593858
McConnell	0.0592781
Haines	0.0592694
Quigley	0.0592056
Brundtland	0.0591584
Blum	0.0589574
Berenson	0.0589187
DeFrantz	0.0588656
Duffy	0.0587909
McCartney	0.0587501
Jimenez	0.0587199
Hawkins	0.0586685
Healy	0.0585287
McMillan	0.058442
franklin	0.0584192
Ikeda	0.0583167
Swenson	0.058304
Berman	0.0582056
Chapman	0.0581879
Naumann	0.0581656
Kirkpatrick	0.0581505
Morrison	0.0581342
Nazarbayev	0.0581266
Aventajado	0.0581153
Ferguson	0.0581143
Zadornov	0.0580396
Jeffers	0.0579975
Diller	0.0579799
Larnaca	0.0578832
Pape	0.057873
Hoffman	0.0577999
Cummings	0.057607
Easton	0.0575714
Scruggs	0.0575674
"Ben-Gurion Airport"	0.0575424
Mckee	0.0574657
Knapp	0.057385
Wasserstein	0.0573606
Rosenblatt	0.0573442
Sherman	0.0572378
Dunham	0.0571437
Kasoulides	0.0571023
Andrew	0.0569977
Weiss	0.0569773
Keenan	0.0569635
Zhirinovsky	0.0569476
Hickman	0.0568754
))
("Andrews Air Force Base" (desc 3271.75) (sims
"Dulles International Airport"	0.259852
"Wye Plantation"	0.202542
"Ben-Gurion Airport"	0.17087
lax	0.158746
"Heathrow Airport"	0.143059
"Newark International Airport"	0.142369
"Entebbe International Airport"	0.14107
"Miami International Airport"	0.133954
"Fort Dix"	0.131147
"Logan International Airport"	0.124516
"Kennedy International Airport"	0.121039
"air base"	0.116884
"Hartsfield International Airport"	0.112636
"John F. Kennedy International Airport"	0.111914
Stansted	0.109971
"Kennedy Airport"	0.109033
"Capital Airport"	0.107068
"Camp David"	0.101026
"La Guardia Airport"	0.0969157
"Los Angeles International Airport"	0.09569
"Wye River Plantation"	0.0949859
"Kennedy Space Center"	0.0944856
"San Francisco International Airport"	0.0944551
sanatorium	0.0939267
airbase	0.0909753
"O'Hare International Airport"	0.0891554
"U.N. Headquarters"	0.087222
Stormont	0.0852104
"Hong Kong International Airport"	0.0843718
Hartsfield	0.0839913
"Fort Lewis"	0.079645
"conference center"	0.0785158
"Parliament House"	0.0775233
Katmandu	0.0768034
"Logan Airport"	0.0761141
"Kai Tak Airport"	0.0757175
"Blair House"	0.0750911
"Plaza Hotel"	0.073487
airstrip	0.0731631
"Windsor Castle"	0.0723669
"about @:@@"	0.0709461
"work camp"	0.0709348
Heathrow	0.0700094
"Waldorf-Astoria Hotel"	0.0689978
"Kai Tak"	0.0685335
Dodgertown	0.0680673
guesthouse	0.068046
"navy yard"	0.0679476
"Harare International Airport"	0.0674001
"Kuala Lumpur International Airport"	0.0663234
"railroad station"	0.0662457
airfield	0.0661092
"Downing Street"	0.0653787
"ice rink"	0.0652773
"Chek Lap Kok"	0.0647347
sanitarium	0.0643618
"polling booth"	0.063566
"Puerto Vallarta"	0.0623725
Aviano	0.0622714
"Arlington National Cemetery"	0.0620622
"navy base"	0.0618407
anchorage	0.0607874
"Diaoyutai State Guesthouse"	0.0607873
campsite	0.060651
"South Pole"	0.0600401
"holding cell"	0.0594023
"Kiel Center"	0.0592373
"funeral home"	0.0591934
"Cairo International Airport"	0.0587791
"Johannesburg International Airport"	0.0586562
"Cape Canaveral"	0.0584877
"Elysee Palace"	0.0581885
"Macao International Airport"	0.0580326
"Fort Hood"	0.0579047
"America West Arena"	0.0578817
"Ellis Island"	0.0578152
"military hospital"	0.0577397
Logan	0.0576859
"Charles de Gaulle"	0.0575904
"Zoo Atlanta"	0.057555
"Presidential Palace"	0.0566689
"traffic circle"	0.0565203
"Jomo Kenyatta International Airport"	0.0561001
bedside	0.055863
campground	0.055813
"Camp LeJeune"	0.0557862
NHIS	0.0554742
"Valley Ranch"	0.055455
Norfolk	0.0552533
"Ritz-Carlton Hotel"	0.0551027
motel	0.0549049
"MCI Center"	0.0545044
Highbury	0.0542511
Dulles	0.0534633
"Potomac River"	0.0532247
"La Guardia"	0.0530596
"Sahalee Country Club"	0.0527404
Westin	0.0524398
Tuzla	0.0523661
Christmastime	0.0514574
Shepherdstown	0.0514212
"Unknown Soldier"	0.0513154
"North Valley Jewish Community Center"	0.0511979
Shea	0.0510626
Monticello	0.0510347
"First Baptist Church"	0.0508164
"Lone Star Park"	0.0505493
"state prison"	0.0500688
"air force academy"	0.0498177
"Methodist Hospital"	0.0496861
Ritz-Carlton	0.0491363
"University of Minnesota"	0.0490156
dacha	0.0489472
"Wye River"	0.0486243
"security consultant"	0.0485538
"Oak Hill"	0.0482458
"Mayo Clinic"	0.0475451
"Western Wall"	0.0469878
"University Hospital"	0.0468881
"Yale Law School"	0.0466754
"country house"	0.0466674
crevasse	0.0466223
"command post"	0.0461782
"North Pole"	0.0461775
"Union Station"	0.0458541
Kandahar	0.0457909
kibbutz	0.0457482
"Turner Field"	0.045724
daybreak	0.0453471
"Pennsylvania Station"	0.0451452
Freeport	0.0448842
"Delta Center"	0.0447904
"Holiday Inn"	0.0446465
"St. Patrick"	0.0444518
"Fort Benning"	0.044446
bed-and-breakfast	0.0444074
"Veterans Stadium"	0.04436
Skopje	0.0442722
ritz	0.0442475
"National Press Club"	0.0440846
"Old Trafford"	0.0440639
"church service"	0.0439559
"Sheraton Hotel"	0.0438697
Chateau	0.0434862
Tanglewood	0.0434682
"National Archives"	0.0434595
Storrs	0.0433207
"bus station"	0.0432651
"Westminster Abbey"	0.0432492
"George Mason University"	0.0429087
"mental institution"	0.0427071
"Busch Stadium"	0.0426337
"camp site"	0.0426201
"Colorado Springs"	0.042533
Piraeus	0.0423201
"Russian Embassy"	0.0423053
"staging area"	0.0422989
"U.N. Millennium Summit"	0.0422159
"army base"	0.0421289
"beach house"	0.0421068
"Pinehurst No. @"	0.0420756
mortuary	0.0418683
"Heritage High School"	0.0417988
manhole	0.0417203
FleetCenter	0.0415991
"Lincoln Memorial"	0.0414202
"psychiatric hospital"	0.041253
RAMBOUILLET	0.0412417
Pinehurst	0.0410898
"Turkish Embassy"	0.0408483
hangar	0.0407554
"Stade de France"	0.0403873
"Disney World"	0.0403565
mid-night	0.0403323
"Gulfstream Park"	0.040315
"Pearl Harbor"	0.0402484
"Foxboro Stadium"	0.0402407
harbour	0.0401271
))
(Andreychuk (desc 927.348) (sims
Niedermayer	0.218129
Heinze	0.213207
Stumpel	0.187895
Audette	0.179975
Laudrup	0.17165
Langenbrunner	0.163027
Smolinski	0.162824
Reichel	0.16249
Nedved	0.159798
LeClair	0.157623
Bergkamp	0.157434
Duchesne	0.152512
Fedorov	0.151498
Carbonneau	0.150953
Barrie	0.148209
Lehtinen	0.147975
Tocchet	0.147041
Kariya	0.146492
Geiger	0.146263
Kuehne	0.14583
Gorter	0.144862
Hoch	0.143909
Berard	0.143556
Passarella	0.139625
Bierhoff	0.139072
Harbaugh	0.138489
Arnott	0.138034
Pederson	0.137773
Muoneke	0.137707
Drury	0.137575
Heinrichs	0.137366
Kamensky	0.136218
Gogel	0.135687
Sydor	0.134094
Baerga	0.13358
Paxon	0.133511
Leetch	0.13294
Laperriere	0.132298
Hendrickson	0.131123
Sykora	0.129676
Messier	0.129656
"Dixon Ward"	0.128524
Sundin	0.128505
Lindros	0.127565
Cota	0.127251
Baba	0.126715
Selanne	0.126519
Kovalev	0.126188
McInnis	0.125816
Jonsson	0.124451
axelsson	0.124266
Stricker	0.123162
"Fredrik Olausson"	0.122716
DiSarcina	0.122383
Brunell	0.122212
Sahadi	0.121955
beamer	0.121221
Jagr	0.120734
Stillman	0.120459
Holik	0.12014
Paus	0.119709
Gilmour	0.119243
Verbeek	0.119076
Norstrom	0.118207
Tverdovsky	0.118115
Gossage	0.117636
Batistuta	0.117256
Fizer	0.11718
Roenick	0.116726
Lafleur	0.116524
McKenna	0.116405
Rucchin	0.116216
Ganassi	0.115522
Modano	0.11511
Hecht	0.114634
Nailon	0.11457
Bodine	0.114351
Woolley	0.114208
Turgeon	0.113775
Cink	0.11369
McDOWELL	0.113506
Mcbride	0.112756
Bullard	0.112562
Moreno	0.111921
Caminiti	0.111619
Yzerman	0.110892
Recchi	0.110517
Meares	0.110493
Boller	0.110476
Lassiter	0.110354
Suker	0.11019
hermosillo	0.109474
Wynalda	0.109396
Talebi	0.109174
Palffy	0.109058
McCown	0.108962
Marinovich	0.108886
Sehorn	0.108474
Zubov	0.108259
Finkel	0.108153
Biggio	0.10806
Laettner	0.107961
Atler	0.107484
Warne	0.10743
Khristich	0.107041
Sherrill	0.107011
Hatcher	0.106915
Najera	0.106306
Lieberthal	0.106188
Barrasso	0.106178
Unser	0.106047
Canseco	0.106043
Cowan	0.10583
Schmid	0.10569
Robitaille	0.105589
Rubenstein	0.105511
Weinke	0.105394
MacLean	0.105378
"Kristine Lilly"	0.105293
Donato	0.105191
Biffle	0.105099
Wheatley	0.105009
Gervin	0.104742
PRONGER	0.104578
Fleischer	0.104393
Cienfuegos	0.104269
Nieuwendyk	0.104207
Kluivert	0.104119
Reinhardt	0.104104
Tkachuk	0.104036
Solis	0.103822
Sabonis	0.103105
DiMaio	0.102653
"Van Roost"	0.102166
Holdsclaw	0.102081
"Tony Amonte"	0.102068
ALLISON	0.101913
Foote	0.101906
Ainge	0.101869
Calvary	0.101843
Sasser	0.101722
Forsberg	0.101691
Mendez	0.101373
Ftorek	0.10124
Glover	0.101153
Grudzielanek	0.10104
Stinnett	0.100872
Lofton	0.100286
Andrade	0.10011
Dunleavy	0.100058
Artest	0.0999793
McKnight	0.0999793
Hurtado	0.0997737
Fiset	0.0994466
Calcavecchia	0.0992899
Gauthier	0.0991991
Triplett	0.0991816
Sather	0.0986362
Stoudamire	0.0983597
Robson	0.0983585
Strauss-Kahn	0.0982547
Valenzuela	0.0981357
Garces	0.0980673
"Guy Carbonneau"	0.097818
"Brett Hull"	0.0976099
Ouattara	0.0975617
Gullikson	0.0972505
Hornaday	0.0971077
Jacquet	0.0970462
Longley	0.0968076
Okada	0.0967914
Soyinka	0.0967098
Alomar	0.096616
Rongen	0.0965734
Schourek	0.0965031
Bourque	0.0962062
Fleury	0.0959961
Donnan	0.0958716
"Joe Sakic"	0.0958689
Wenger	0.0958223
Lacroix	0.09581
Tuberville	0.0955459
Rahal	0.0952381
Guillen	0.0950855
Appleby	0.0950451
Stackhouse	0.0949036
Azinger	0.0946184
Primeau	0.0944385
Croshere	0.0943865
"Joe Nieuwendyk"	0.0942564
Abdur-Rahim	0.0940487
MacInnis	0.0940252
Inman	0.0934957
Vinatieri	0.0933953
Alicea	0.0933079
drake	0.0932818
Prewitt	0.0932511
Milbrett	0.0931579
Madden	0.093154
Weisman	0.0930898
))
(andro (desc 6208.42) (sims
androstenedione	0.303701
creatine	0.215263
EPO	0.14604
steroid	0.105391
MTBE	0.103049
nandrolone	0.0991407
"growth hormone"	0.0989192
"human growth hormone"	0.0963011
viagra	0.096042
supplement	0.0958075
lycopene	0.0935162
GHB	0.0931594
CFCs	0.0919775
antioxidant	0.0914114
RU-@@@	0.088967
ephedrine	0.0885257
testosterone	0.087354
hormone	0.0862127
aspirin	0.0842635
caffeine	0.0840087
ephedra	0.0836162
amphetamine	0.0835005
Rezulin	0.0834488
contraceptive	0.0828235
alcohol	0.0824389
"St. John's wort"	0.0823511
thalidomide	0.0820398
melatonin	0.0819689
marijuana	0.0819618
"sex hormone"	0.0812516
snowmobile	0.0811639
estrogen	0.079959
tamoxifen	0.0798185
pill	0.0770839
Contraception	0.0764436
methadone	0.0755574
"vitamin E"	0.0754639
smoking	0.0745286
stimulant	0.0740956
antihistamine	0.0716991
DDT	0.0704085
Ritalin	0.0699788
"folic acid"	0.0697763
diuretic	0.0693949
substance	0.0693436
Phentermine	0.0692186
nicotine	0.0690787
implant	0.068306
AZT	0.0682495
tobacco	0.0680026
watercraft	0.0672074
leptin	0.066926
asbestos	0.0661759
Erythropoietin	0.066072
Prozac	0.0650477
cannabis	0.0649068
capsaicin	0.0648123
pesticide	0.0647193
bodysuits	0.0636191
acupuncture	0.063063
vitamin	0.0622803
nevirapine	0.0621001
kava	0.0618734
ecstasy	0.0617385
"amino acid"	0.0616273
Celebrex	0.0615766
stanozolol	0.0613789
olestra	0.0606402
raloxifene	0.0602234
cockfighting	0.0601634
"birth control"	0.0599485
irradiation	0.0597324
carrying	0.0591311
LSD	0.0590034
cortisone	0.0589336
landmines	0.0588326
"solar energy"	0.0587857
condom	0.0585079
Endostatin	0.05766
antibiotic	0.0572169
methamphetamine	0.0570452
Propulsid	0.0568112
"nitric oxide"	0.0563591
carotene	0.0562684
fluoride	0.0559796
placebo	0.0559769
ketamine	0.0555801
additive	0.0555539
PCBs	0.0553901
hGH	0.0552845
drinking	0.054931
biogas	0.0547089
Avonex	0.0546829
"breast implant"	0.0546304
"corporal punishment"	0.0543465
Calcium	0.0543419
medication	0.0537371
webcams	0.0535391
"Falun Gong"	0.0532445
hypnosis	0.0531582
gambling	0.0530201
cocaine	0.0527836
"genetic engineering"	0.0527491
"cluster bomb"	0.0527433
"sign language"	0.0527195
nitroglycerin	0.0525306
Napster	0.0524767
Vaccine	0.0521848
"alternative medicine"	0.0517267
mifepristone	0.0513726
weight-loss	0.0513089
MDMA	0.0506991
generics	0.0506676
"fox hunting"	0.0505409
pseudoephedrine	0.0505052
"alcoholic beverage"	0.0503283
"capital punishment"	0.0500983
"nuclear energy"	0.0499941
herb	0.0494451
"land mine"	0.049297
"prescription drug"	0.049179
"atomic energy"	0.0491705
sampling	0.049151
circumcision	0.0487807
interferon	0.0487618
overflights	0.0486635
"vitamin C"	0.0486167
stents	0.0484184
desecration	0.048245
morphine	0.0482265
tranquilizer	0.0479463
dopamine	0.0478207
insulin	0.0476214
defoliant	0.0475264
malathion	0.0474658
ENBREL	0.0470163
microcomputer	0.0466088
ethanol	0.0465488
Foods	0.0464225
clenbuterol	0.0464145
"vitamin D"	0.0458015
importation	0.0457866
insecticide	0.0457223
firearm	0.0456052
recidivism	0.0455027
TCM	0.0450255
"surgical procedure"	0.0450037
adenovirus	0.0446056
segregation	0.0445621
feasibility	0.0444898
"Social Security number"	0.0444401
Zyvox	0.0441894
polygamy	0.0438765
"point system"	0.0438334
betting	0.043606
Xenical	0.0435123
Tylenol	0.0435093
PSA	0.0434585
soy	0.0434255
narcotic	0.0433542
ordination	0.0433403
sunscreen	0.043339
GPS	0.0432184
maggot	0.0430849
handgun	0.0429196
"alcohol abuse"	0.0429121
rollovers	0.0429118
antigen	0.0428722
Encryption	0.0427967
anti-inflammatory	0.0427058
inhibitor	0.0426896
aerosol	0.0425658
radiation	0.0422668
vermiculite	0.0421577
dollarization	0.0419484
blocker	0.0418611
"Lincoln Bedroom"	0.0417981
"direct action"	0.0417192
anesthetic	0.0416999
neurotransmitter	0.0415593
"Kennewick Man"	0.0414818
fertilizer	0.0410951
Optics	0.0410918
scooter	0.0410914
"drug use"	0.0410063
"vitamin A"	0.0410058
Claritin	0.0409658
IC	0.0409069
"ultraviolet light"	0.0407848
cholesterol	0.040728
"food product"	0.0405922
Lett	0.0405085
biotechnology	0.0404615
"two sacks"	0.0403565
cyanide	0.0402318
"electrical device"	0.0400984
nutrition	0.0400748
Radon	0.040059
beta	0.0400302
))
(android (desc 1346.53) (sims
electrocardiogram	0.0606118
nonwhite	0.0540324
"Census @@@@"	0.0524084
Arab-American	0.0514726
"computer language"	0.0501153
exterminator	0.0476156
SNL	0.0476056
"weather satellite"	0.0470804
imp	0.0466363
nonentity	0.0460131
newscaster	0.0459563
tomcat	0.0455156
"caste system"	0.0453669
CPSC	0.0451284
twit	0.0449854
"Peking Opera"	0.0448012
"wind tunnel"	0.044749
Braugher	0.0447166
Baryshnikov	0.044281
Trixie	0.0442481
hammy	0.0442476
Lue	0.0441865
emulator	0.0439431
led	0.0429749
egomaniac	0.04258
abacus	0.0423432
"neutron bomb"	0.0423311
egghead	0.0415854
"electrical device"	0.0411412
API	0.0410229
"nursery rhyme"	0.0407598
"exotic dancer"	0.0403032
videophone	0.0400835
antihero	0.0400264
easel	0.0400214
))
(androstenedione (desc 7670.16) (sims
andro	0.303701
creatine	0.249565
EPO	0.225762
Erythropoietin	0.184143
stanozolol	0.17153
ephedrine	0.15361
nandrolone	0.153562
"human growth hormone"	0.152795
steroid	0.143614
supplement	0.142903
clenbuterol	0.14105
testosterone	0.13819
GHB	0.124364
"growth hormone"	0.12268
hormone	0.122452
ephedra	0.107684
"folic acid"	0.107017
estrogen	0.105941
diuretic	0.105734
stimulant	0.102178
"St. John's wort"	0.100433
pill	0.0992037
Rezulin	0.0965787
RU-@@@	0.0943849
viagra	0.0932233
hGH	0.0912803
antioxidant	0.0912255
substance	0.0901709
amphetamine	0.0899876
carotene	0.089465
melatonin	0.0880032
olestra	0.0879243
CFCs	0.086588
leptin	0.0847413
Celebrex	0.0838985
MTBE	0.0830664
antihistamine	0.0819778
"amino acid"	0.0799533
caffeine	0.0795659
lycopene	0.0793682
pseudoephedrine	0.0779327
vitamin	0.0778618
"vitamin E"	0.0775396
antibiotic	0.0774875
Prilosec	0.0772242
"sex hormone"	0.0765798
thalidomide	0.076558
Pondimin	0.0761175
nevirapine	0.0750137
tamoxifen	0.0746606
Propecia	0.0744058
Phentermine	0.0732749
cannabis	0.0731316
insulin	0.0728634
Xenical	0.0723523
aspirin	0.0720997
alcohol	0.0720043
marijuana	0.0712899
mifepristone	0.0708045
"vitamin A"	0.0701431
Ritalin	0.0677086
placebo	0.0669004
Zocor	0.0667324
contraceptive	0.0666816
Endostatin	0.0664637
Epogen	0.0658916
Zoloft	0.0657545
Fen-Phen	0.065436
ecstasy	0.0652911
LIPITOR	0.0650839
pesticide	0.0646819
nicotine	0.0644287
Propulsid	0.0638015
cocaine	0.0627816
capsaicin	0.0624803
defoliant	0.0621451
methadone	0.0620712
Avonex	0.0613439
ketamine	0.0609383
AZT	0.0608649
Tylenol	0.0608204
Prozac	0.0606008
ethanol	0.0605809
"vitamin D"	0.0604916
DDT	0.0602088
Valium	0.059558
painkiller	0.0594447
medication	0.0586785
Claritin	0.0586264
raloxifene	0.0584106
fluoride	0.0579175
iodine	0.0575128
"cluster bomb"	0.0571682
LSD	0.0569127
additive	0.0562557
Herceptin	0.0561565
snowmobile	0.0559626
angiostatin	0.0557571
methamphetamine	0.0550348
dioxin	0.0549898
sulfate	0.0549484
"free radical"	0.0547538
protein	0.0544345
inhibitor	0.0543901
penicillin	0.0543899
acetaminophen	0.0543472
Contraception	0.054289
laxative	0.0539158
adenovirus	0.0536406
cockfighting	0.0535822
echinacea	0.0534215
"food additive"	0.0533093
Calcium	0.0531688
fenfluramine	0.0528356
interferon	0.0520163
opiate	0.0518757
"fish oil"	0.0513985
Redux	0.0510137
anti-inflammatory	0.0508153
asbestos	0.050754
acupuncture	0.0506096
tobacco	0.0503757
ointment	0.0498391
bodybuilding	0.0497737
Taxol	0.0496217
antacid	0.0496041
webcams	0.0495373
carcinogen	0.0493288
sedative	0.049209
antigen	0.0491859
"California wine"	0.0483746
Vaccine	0.0481688
stents	0.0478145
cortisone	0.0477605
condom	0.0477546
kava	0.0476259
glucose	0.0476238
bodysuits	0.0475989
"prescription drug"	0.047045
"breast implant"	0.0465174
tranquilizer	0.0464392
herb	0.0462188
Napster	0.046103
fiber	0.0460942
"corporal punishment"	0.0460817
morphine	0.045777
acid	0.0457414
Gatorade	0.0455702
insecticide	0.0452764
"vitamin C"	0.0452412
"alcoholic beverage"	0.0449519
homocysteine	0.044824
PCBs	0.0447636
tritium	0.0446137
tremolite	0.0446051
syringe	0.0439152
"solar energy"	0.0438639
biogas	0.0435637
"nerve gas"	0.0433917
dopamine	0.0430948
Foods	0.0429878
uranium	0.0427707
nitroglycerin	0.0425869
"spring water"	0.0422274
"sign language"	0.0420167
watercraft	0.0420126
chloride	0.0419995
"poison gas"	0.0418815
derivative	0.0418566
folate	0.0416906
"food product"	0.0416505
"genetic engineering"	0.0415067
"atomic energy"	0.0414797
plutonium	0.0413814
tablet	0.0413371
chemotherapy	0.0413324
"electrical device"	0.0412421
"nitric oxide"	0.0409287
fungicide	0.0409077
telomerase	0.0409047
cyanide	0.0406999
cosmetic	0.0405124
preservative	0.0404368
gook	0.0403951
enhancer	0.0402768
"Lincoln Bedroom"	0.0401293
enzyme	0.0401118
))
("Andruw Jones" (desc 12423) (sims
"Chipper Jones"	0.349695
"Brian Jordan"	0.293576
"Javy Lopez"	0.288941
"Bret Boone"	0.283577
"Gerald Williams"	0.27109
"Ryan Klesko"	0.265137
"Eddie Perez"	0.259631
"Andres Galarraga"	0.246174
"Ozzie Guillen"	0.245037
"Otis Nixon"	0.236671
"Quilvio Veras"	0.23249
"Walt Weiss"	0.232291
"Jose Hernandez"	0.221343
"Keith Lockhart"	0.210766
"Brian Hunter"	0.208443
"Bernie Williams"	0.206822
"Marvin Benard"	0.202079
"Reggie Sanders"	0.198135
"Jeff Bagwell"	0.196337
"Michael Tucker"	0.196066
"Edgardo Alfonzo"	0.194378
"Garret Anderson"	0.194031
"John Olerud"	0.1898
"Steve Finley"	0.189073
Klesko	0.188053
"Mike Cameron"	0.187887
"Chad Curtis"	0.187416
"Tino Martinez"	0.185596
"Vladimir Guerrero"	0.184976
Alfonzo	0.184632
Olerud	0.183712
"Scott Rolen"	0.182355
"Quinton McCracken"	0.182188
"Eric Owens"	0.181601
"Carl Everett"	0.180768
"Tim Salmon"	0.177821
"Chuck Knoblauch"	0.176649
"Matt Lawton"	0.175943
"Danny Bautista"	0.175686
"Troy Glaus"	0.175507
"B.J Surhoff"	0.174928
"Derek Jeter"	0.174877
"Fred McGriff"	0.17465
"Eric Karros"	0.174375
"Barry Bonds"	0.173881
Karros	0.173716
"Preston Wilson"	0.173382
"Scott Brosius"	0.173306
"Matt Stairs"	0.172824
"Derek Bell"	0.171139
"Jim Edmonds"	0.171031
"Nomar Garciaparra"	0.170465
"Darren Lewis"	0.169514
"Jim Thome"	0.16803
"Paul Konerko"	0.167548
"Dmitri Young"	0.167371
"Rondell White"	0.166444
"Jay Buhner"	0.165852
"Marquis Grissom"	0.165423
"John Valentin"	0.164853
"Kenny Lofton"	0.164821
"Phil Nevin"	0.164135
Rolen	0.1632
"Troy O'Leary"	0.163086
"Darin Erstad"	0.162924
"Kelly Stinnett"	0.162618
"Carlos Beltran"	0.162414
"Luis Gonzalez"	0.161672
"Jose Offerman"	0.161387
"Jay Bell"	0.159936
"Terrence Long"	0.159038
"Jay Payton"	0.158749
"Johnny Damon"	0.158477
"Gary Sheffield"	0.15841
"Tony Graffanino"	0.157801
"Rafael Palmeiro"	0.157731
Vidro	0.157396
"Al Martin"	0.157385
"Dante Bichette"	0.156926
"Robin Ventura"	0.155995
"Ken Caminiti"	0.155984
"David Bell"	0.155286
"Ray Durham"	0.155244
Fullmer	0.154979
"Roger Cedeno"	0.154464
"Mark Loretta"	0.154245
"Carlos Lee"	0.153293
"Ruben Rivera"	0.152896
"Mark Kotsay"	0.152785
"Devon White"	0.152197
"Damian Miller"	0.151998
"Brant Brown"	0.151911
"Geoff Jenkins"	0.15162
Galarraga	0.151298
"Jason Varitek"	0.151229
"Trot Nixon"	0.150916
"Ben Grieve"	0.150773
"Henry Rodriguez"	0.150529
Bordick	0.149704
"Matt Williams"	0.149307
"Manny Ramirez"	0.149075
"Mark Grudzielanek"	0.14904
"Wally Joyner"	0.148873
"Mike Piazza"	0.148222
"Jim Leyritz"	0.147959
"Scott Spiezio"	0.147803
"Kevin Young"	0.147523
"Bruce Aven"	0.147485
Garciaparra	0.147452
"Bobby Abreu"	0.147356
"Ray Lankford"	0.146647
"Ron Gant"	0.146404
"Carlos Delgado"	0.146291
"Benny Agbayani"	0.145562
"Todd Helton"	0.144935
"Cliff Floyd"	0.14478
"Doug Glanville"	0.14473
"Butch Huskey"	0.144539
"Jason Giambi"	0.143532
"Damon Buford"	0.142941
"Melvin Mora"	0.142919
"Alex Rodriguez"	0.142747
"Andy Fox"	0.142531
Bagwell	0.14251
"Brian McRae"	0.142384
"Paul O'Neill"	0.142101
Valentin	0.142
"Mark Grace"	0.141829
Glaus	0.141669
"Jorge Posada"	0.141582
Vaughn	0.141349
"Juan Encarnacion"	0.141305
"Brady Anderson"	0.140805
"Tom Goodwin"	0.140792
"Juan Gonzalez"	0.140648
"Barry Larkin"	0.140334
"Deivi Cruz"	0.140302
"Mike Stanley"	0.139701
"Damian Jackson"	0.139415
"Shawn Green"	0.139008
"Jeff Kent"	0.138827
Aurilia	0.1386
"Craig Biggio"	0.138257
"Richard Hidalgo"	0.138212
"Glenallen Hill"	0.138166
Palmeiro	0.137989
"Bobby Higginson"	0.137934
Abreu	0.137598
"Jose Guillen"	0.137252
Erstad	0.137178
"Moises Alou"	0.137019
"Vinny Castilla"	0.136467
"Adrian Beltre"	0.136446
"Eric Chavez"	0.136424
"Todd Zeile"	0.136242
"Edgar Martinez"	0.135997
"Raul Mondesi"	0.135959
"Warren Morris"	0.135776
"Rickey Henderson"	0.135732
"Brian Giles"	0.135569
"Bill Mueller"	0.135133
"David Segui"	0.135084
"Kevin Millwood"	0.13419
"Tony Batista"	0.133754
"Mike Sweeney"	0.133612
Boone	0.132947
"Ken Griffey Jr."	0.132611
"Orlando Palmeiro"	0.132515
"Rusty Greer"	0.132311
Cirillo	0.131888
"Jeffrey Hammonds"	0.13158
"Mickey Morandini"	0.131444
"Tony Eusebio"	0.131362
"Trenidad Hubbard"	0.131139
"Mark McLemore"	0.130861
Burnitz	0.130494
"Ron Coomer"	0.130287
"Jeromy Burnitz"	0.13014
"Ricky Ledee"	0.129478
"Mike Bordick"	0.129462
Knoblauch	0.129382
"John Vander Wal"	0.129132
"Luis Castillo"	0.128722
"Greg Vaughn"	0.12814
"Mike Lieberthal"	0.127914
Jeter	0.127541
"Neifi Perez"	0.12751
"Brian Daubach"	0.127459
"Tim Bogar"	0.127304
Batista	0.127242
"Dave Martinez"	0.127125
"Tom Glavine"	0.126999
Lankford	0.126497
"Desi Relaford"	0.125534
"Chris Widger"	0.125439
"Cristian Guzman"	0.125278
"Tony Womack"	0.124994
"Travis Lee"	0.124833
"Todd Hundley"	0.124821
"Eric Young"	0.124543
Spiers	0.124017
"Jeff Conine"	0.123686
"Joe McEwing"	0.123566
"Magglio Ordonez"	0.123257
"Tony Gwynn"	0.123232
Ordonez	0.122745
"Richie Sexson"	0.122571
McGriff	0.122382
"Jason Kendall"	0.122303
"Darryl Hamilton"	0.122208
Brosius	0.122054
"Ivan Rodriguez"	0.12196
"Travis Fryman"	0.121746
"Stan Javier"	0.121605
"Jose Vidro"	0.121145
"Frank Thomas"	0.121127
Piazza	0.121046
"Rich Aurilia"	0.120739
"Kerry Ligtenberg"	0.120659
Rodriguez	0.119774
"Matt Franco"	0.119757
"Dean Palmer"	0.119713
"Tony Phillips"	0.119674
Agbayani	0.119652
Higginson	0.119468
Thome	0.118917
"Joe Girardi"	0.118857
"Omar Vizquel"	0.118515
"Lance Berkman"	0.118387
"Dan Wilson"	0.118367
"Bill Spiers"	0.11831
"J.T Snow"	0.118298
"Todd Pratt"	0.118092
"Adam Kennedy"	0.117916
"Joe Randa"	0.117872
Giambi	0.11783
Nevin	0.117694
"Bubba Trammell"	0.117687
"Gabe Kapler"	0.117595
"Jermaine Dye"	0.117594
Mabry	0.117505
"F.P Santangelo"	0.117504
"Miguel Tejada"	0.117124
"Paul Bako"	0.116978
Sexson	0.116954
"Lance Johnson"	0.116887
Fryman	0.116633
"Russ Davis"	0.11654
Sosa	0.116334
"Bernard Gilkey"	0.11616
"Jeff Cirillo"	0.115871
"John Smoltz"	0.115862
"Jose Cruz Jr."	0.115825
Daubach	0.115492
"Royce Clayton"	0.115238
"Mo Vaughn"	0.115186
"Rich Becker"	0.114926
"Luis Alicea"	0.114859
Offerman	0.114462
"Lenny Harris"	0.114302
"Odalis Perez"	0.114212
"Albert Belle"	0.114111
"Rafael Furcal"	0.113548
Veras	0.113404
"Greg Colbrunn"	0.113119
Zeile	0.112805
DeShields	0.112557
"Enrique Wilson"	0.111889
"Delino DeShields"	0.111721
"Lee Stevens"	0.111488
Martinez	0.11143
"Derrek Lee"	0.111388
"Rey Ordonez"	0.111335
"Chili Davis"	0.1113
"Corey Koskie"	0.111282
"Charles Johnson"	0.111267
Kapler	0.110905
Surhoff	0.11073
"David Ortiz"	0.110715
"Raul Ibanez"	0.110566
Renteria	0.110392
Mondesi	0.110292
"Randy Velarde"	0.11003
"Shannon Stewart"	0.109877
Millwood	0.109847
Beltran	0.10959
Griffey	0.10953
"Alex Gonzalez"	0.109457
"Pat Meares"	0.109438
Alomar	0.109261
"Todd Hollandsworth"	0.109259
"Ellis Burks"	0.109243
"Luis Polonia"	0.109228
"Peter Bergeron"	0.109143
"Russ Johnson"	0.108919
Hatteberg	0.108915
"Kevin Jordan"	0.108234
"Roberto Alomar"	0.108145
"Fernando Vina"	0.107884
"Shane Spencer"	0.107883
"Todd Walker"	0.107556
Tatis	0.107552
"Kevin Stocker"	0.107102
Grudzielanek	0.107023
"John Mabry"	0.10695
Randa	0.106849
"Einar Diaz"	0.106762
"Larry Walker"	0.106748
"Miguel Cairo"	0.106564
"Pat Burrell"	0.106476
Lieberthal	0.106174
Bautista	0.106104
"Sammy Sosa"	0.105407
"Damion Easley"	0.105237
Varitek	0.105218
Alicea	0.105216
"Karim Garcia"	0.105187
Guerrero	0.105124
Ledee	0.10505
"Matt Walbeck"	0.104805
"Fernando Tatis"	0.10459
"Bobby Bonilla"	0.104539
Guillen	0.104391
Beltre	0.104322
Glavine	0.10424
grieve	0.104083
"Jason McDonald"	0.104034
Delgado	0.103834
"Bengie Molina"	0.103727
"Eddie Taubensee"	0.103708
"Darren Bragg"	0.103291
"J.D Drew"	0.103058
McLemore	0.103006
"Willie Greene"	0.101706
Velarde	0.101505
Konerko	0.101383
McGwire	0.101283
Bichette	0.101231
"Mike Lowell"	0.101204
"John Rocker"	0.100838
"Jose Canseco"	0.10079
"Sean Casey"	0.100724
"Harold Baines"	0.100588
Hidalgo	0.100451
"David Dellucci"	0.100369
Sheffield	0.100274
))
(Andulo (desc 3015.85) (sims
Bailundo	0.361198
Huambo	0.19743
Bamiyan	0.178902
Taloqan	0.137558
Beira	0.135912
"Anlong Veng"	0.133319
Makeni	0.130429
Mazar-i-Sharif	0.127962
Mazar-e-Sharif	0.121171
Goma	0.119606
"Banja Luka"	0.112081
Cebu	0.110903
Kuito	0.110725
Cochabamba	0.109839
Pailin	0.108652
Jaffna	0.10811
Lubumbashi	0.107381
Dodoma	0.106562
Marjayoun	0.103057
BIE	0.102018
"Camp Abubakar"	0.0965369
Multan	0.0955709
Jalalabad	0.0944255
Kabwe	0.0943315
Kailahun	0.091978
Kandahar	0.090465
Malisevo	0.0894402
Kandy	0.0877939
Juba	0.0877187
Gudermes	0.0866106
Baalbek	0.0860786
Baotou	0.0858402
Benguela	0.084996
Kisangani	0.0826139
Golmud	0.0818859
Davao	0.0814953
Kilinochchi	0.0814144
Sevastopol	0.0805075
Bukavu	0.080356
Kabul	0.0792578
Luanda	0.0781349
Tuzla	0.0767137
Isfahan	0.0762274
Ensenada	0.075539
Irbil	0.0746013
Drenica	0.0741234
Uvira	0.0739744
Kindu	0.0736631
Moshi	0.0736154
"San Pedro Sula"	0.0731074
Kenema	0.0731002
NIS	0.0726224
Baoding	0.0725223
Caguan	0.0721423
Murmansk	0.072013
Charikar	0.0716664
Tachilek	0.0714394
Izmir	0.0713498
Zhangjiakou	0.0702478
Kisumu	0.0699774
Jezzine	0.0697774
Trincomalee	0.0696985
Urus-Martan	0.0696563
Chennai	0.06915
"San Cristobal"	0.0689002
Mandalay	0.0687168
Limassol	0.0679406
Nablus	0.0678897
Lyon	0.0674724
Najaf	0.0671454
Haicheng	0.0669016
Datong	0.0665904
Krakow	0.0665164
Zhangzhou	0.0663645
Orahovac	0.0659273
Zhongshan	0.0658297
Nabatiyeh	0.0658083
Shashi	0.0655853
Novosibirsk	0.065402
Nagoya	0.0653069
Weifang	0.0651138
Urosevac	0.0648407
Ismailia	0.0645902
ZHOUSHAN	0.0645533
"Suva Reka"	0.0644926
Argun	0.0644854
Chengde	0.0642708
Haifa	0.0634247
highland	0.0634131
Wolfsburg	0.0634125
Srinagar	0.0633283
Jingdezhen	0.0630869
Xuzhou	0.0629339
Luoyang	0.0628115
Assisi	0.0624813
Grozny	0.0624033
Matadi	0.0623791
Ibadan	0.0623683
Mosul	0.0617994
Khulna	0.0615575
Gnjilane	0.0612853
Nakuru	0.0609276
Zhangjiajie	0.0609113
Catania	0.0605864
Kragujevac	0.0602335
"CHIANG MAI"	0.0602009
Warri	0.0600636
Quanzhou	0.0598746
Astana	0.0598436
Kraljevo	0.0595516
Quetta	0.0593759
Baidoa	0.059254
Aachen	0.0592521
Ashkelon	0.058992
"East Orange"	0.0588397
Jayapura	0.0586579
Tangshan	0.0586405
Gulu	0.058287
Liuzhou	0.0582561
"Port Elizabeth"	0.0582487
Zhenjiang	0.0581449
"Mazari Sharif"	0.058102
"Total Independence"	0.0580753
Vladikavkaz	0.0579705
Prizren	0.0577501
"San Carlos"	0.0576901
Vilnius	0.0576202
Nago	0.0576121
Adana	0.0575878
Cacak	0.0574408
"Kosovska Mitrovica"	0.0565988
Izmit	0.0565452
Saida	0.0563564
"Novi Sad"	0.0561874
Jeddah	0.056163
Vitoria	0.0561144
Posoltega	0.0560623
Bulawayo	0.0559165
Anshan	0.0558905
Mashhad	0.0558334
Kizlyar	0.0556842
Dulles	0.05568
Monrovia	0.0555276
Jericho	0.055148
Bangalore	0.0550561
Bengkulu	0.0549953
"Santa Clara"	0.0548827
Khost	0.0545743
Mankulam	0.0542647
Dearborn	0.0541768
Suez	0.0540922
Livingstone	0.054002
Durban	0.0538495
Huangshan	0.0537042
Lausanne	0.0535817
Herat	0.0535267
"Egyptian capital"	0.0533855
Naples	0.0533211
Ramallah	0.0533145
Antalya	0.0532469
Jiujiang	0.0531896
Tashkent	0.0531785
Badme	0.053117
"Pearl River Delta"	0.0531134
Yekaterinburg	0.0529429
Krasnoyarsk	0.0529288
Weihai	0.0527488
Wenzhou	0.0527418
Beersheba	0.0524868
Lahore	0.0523978
Jinja	0.0522014
Jinzhou	0.0521569
Fushun	0.0520546
Batticaloa	0.0520257
Dushanbe	0.0518916
Yichang	0.0517962
Sarajevo	0.0517547
"National Union for Total Independence"	0.051652
Ndola	0.0515899
Rawalpindi	0.0515536
Bujumbura	0.0513059
Karachi	0.0512383
Kinshasa	0.0509959
Constantinople	0.0509878
Hyderabad	0.050912
Zhangjiagang	0.0506359
Beihai	0.0505075
Reston	0.0504093
Rafah	0.050408
Ambon	0.0503929
Mombasa	0.0503122
Zhangbei	0.0502531
Ghent	0.0502078
Burgos	0.050125
Kaduna	0.0500951
Diyarbakir	0.0499025
Sihanoukville	0.049894
Kano	0.049846
Dunhuang	0.049692
"National Union"	0.0496514
))
(Andy (desc 12060.9) (sims
Brian	0.102717
David	0.101779
Tim	0.100195
Jeff	0.0990912
Robert	0.0983011
Kevin	0.0976623
Jim	0.0967671
Bobby	0.0940875
Roger	0.0922285
Eric	0.0919167
Patrick	0.0906269
Larry	0.0904617
Peter	0.090367
Michael	0.0901273
tom	0.0900576
Carl	0.0897647
Gary	0.0895533
Andrew	0.0886476
Jeb	0.0881575
Ian	0.0868682
John	0.0867316
matt	0.0855633
Josh	0.085335
Steve	0.0844625
Gerald	0.083975
Justin	0.0833637
Jason	0.0831488
Danny	0.0830333
Harold	0.0829416
Fred	0.0824833
Evan	0.0822914
Kyle	0.0819421
Todd	0.0818601
Richard	0.0814131
Joe	0.0813791
Jerry	0.081129
Randy	0.0810292
Paul	0.080256
Rick	0.0801743
mike	0.079235
Chris	0.0786578
William	0.0785374
Jamie	0.0784287
Jacob	0.0782837
Dave	0.0778896
Stephen	0.0776137
Ben	0.0773626
Alan	0.0768055
Dennis	0.0764765
Neil	0.0761307
Marty	0.0760789
Andre	0.0758198
Sean	0.0752558
BOB	0.0752401
Maurice	0.0750737
"George W."	0.0749662
Trevor	0.074813
Reggie	0.0745109
Ralph	0.0741105
Kenny	0.0738688
Joey	0.0738419
Matthew	0.0735897
Jeremy	0.0735612
Johnny	0.0734572
Anthony	0.0733079
Dan	0.0732274
Pedro	0.0727496
Shane	0.0723068
Jake	0.0722746
Marvin	0.0722109
Greg	0.0717072
Shawn	0.0715908
Jimmy	0.0712977
Philip	0.0711451
Ricky	0.0709793
Walter	0.0709131
Ted	0.0706421
Phil	0.0706159
Bruce	0.0703534
jack	0.0698615
Frank	0.0696168
Brett	0.0695788
Billy	0.0692382
Sammy	0.069117
Mario	0.0690899
Juan	0.0686463
Arthur	0.0685613
Jon	0.0685017
Claire	0.0683752
Robbie	0.0683078
Ron	0.0682072
Joshua	0.0679463
Marc	0.0678243
Terry	0.0677298
Darren	0.0676796
sandy	0.0675426
Ronald	0.0673266
Wayne	0.0673045
Jeffrey	0.0672957
Doug	0.0671933
Jonathan	0.0670927
nick	0.0668947
Theo	0.0664926
Adam	0.0664381
Ramon	0.066151
"Sam Mendes"	0.0660295
James	0.0657078
Craig	0.065692
Sam	0.0656004
Eddie	0.0655723
Edward	0.0651403
Steven	0.0650587
Scott	0.0649535
Byron	0.0648442
Tommy	0.0646496
Samuel	0.064434
Carlos	0.0644322
Ed	0.0643979
Zachary	0.0643736
Brad	0.0640694
Keith	0.063638
Antonio	0.0634486
Albert	0.0633798
don	0.0633736
Bernard	0.0633652
Barry	0.0633292
pat	0.0632803
Brandon	0.0631709
Charlie	0.0629639
Tony	0.0627581
jay	0.0625476
"Juan Miguel"	0.0624912
George	0.0624602
Erin	0.0622317
Jose	0.0619403
Laura	0.0618319
"John Jr."	0.0616597
Derek	0.0615331
Allan	0.0614592
Darryl	0.0613453
Harry	0.0613048
Henry	0.0612726
Cody	0.0610665
Daniel	0.0609717
dad	0.0609696
Louis	0.0608105
Andrei	0.060135
Charles	0.0601249
Helen	0.0595753
Jackie	0.0595406
Gerard	0.0594815
Drew	0.0594369
Christopher	0.0592101
Alex	0.0588537
Nicholas	0.0588409
Ellen	0.0587701
Owen	0.0584948
Ken	0.0584545
Jesse	0.0584156
Benjamin	0.0583394
"Rob Reiner"	0.0583182
Aaron	0.0581907
Vince	0.0581516
Noel	0.0581347
Sally	0.0581218
Pete	0.0576845
Wyatt	0.057614
Liam	0.0573559
Susie	0.0572649
Vladimir	0.0567147
Susan	0.0559472
Kurt	0.0558629
Scottie	0.0558102
Kenneth	0.0556678
Hugh	0.0555944
timothy	0.0553805
Ryan	0.0553545
Willie	0.0553122
Casey	0.0551925
"Jeb Bush"	0.0551041
Stephanie	0.0549368
Nate	0.0546747
Julian	0.0545886
Julia	0.0543476
Barbara	0.0543332
Thomas	0.0543138
Seth	0.054239
Karl	0.0541721
Vincent	0.0541164
Luke	0.0540449
Brody	0.0540284
Lance	0.0539468
Tyler	0.0538485
Rusty	0.0538035
Nancy	0.0535862
Glenn	0.0535508
Jennifer	0.0534003
Omar	0.0533069
Jill	0.0532683
Leo	0.0532619
))
("Andy Ashby" (desc 6991.06) (sims
"Sterling Hitchcock"	0.284184
"Woody Williams"	0.259512
"Kevin Millwood"	0.252397
"Steve Parris"	0.250715
"Tom Glavine"	0.249228
"Trevor Hoffman"	0.246486
"Joey Hamilton"	0.241318
"John Smoltz"	0.23796
"Kevin Brown"	0.222792
"Greg Maddux"	0.222673
"Curt Schilling"	0.217055
"Pat Hentgen"	0.195872
"Pete Harnisch"	0.192566
"Denny Neagle"	0.191851
"Brian Moehler"	0.190159
"Charles Nagy"	0.189584
"Gil Heredia"	0.18696
"Darryl Kile"	0.186088
"BRIAN MEADOWS"	0.183933
"Brett Tomko"	0.183869
"Roger Clemens"	0.183113
"Rick Reed"	0.181341
"Paul Byrd"	0.180349
"Dave Burba"	0.18021
"Shane Reynolds"	0.178899
"Bartolo Colon"	0.178714
Glavine	0.178281
"Chan Ho Park"	0.178062
"Kevin Tapani"	0.177475
"Brad Radke"	0.175773
"Mike Hampton"	0.175233
"Chris Carpenter"	0.174543
"Andy Pettitte"	0.169645
"Javier Vazquez"	0.168247
"Dustin Hermanson"	0.167809
"Shawn Estes"	0.167765
"Randy Johnson"	0.167402
"Bret Saberhagen"	0.166849
"David Cone"	0.16672
"Darren Dreifort"	0.166589
"Jason Schmidt"	0.166371
"John Burkett"	0.166242
"Rick Helling"	0.165065
"Andy Benes"	0.164378
"Al Leiter"	0.164342
"David Wells"	0.163421
"Eric Milton"	0.163107
"Mike Morgan"	0.162219
"Mike Mussina"	0.161632
"Jon Lieber"	0.16085
"Jaret Wright"	0.160265
"Russ Ortiz"	0.159647
Maddux	0.159563
"Tim Wakefield"	0.159379
"Kenny Rogers"	0.159183
"Pat Rapp"	0.158954
"Ramon Martinez"	0.158284
"Alex Fernandez"	0.158142
"Francisco Cordova"	0.157408
"Greg Vaughn"	0.157233
"Freddy Garcia"	0.157172
"Pedro Astacio"	0.156478
"Dave Mlicki"	0.156317
"Steve Avery"	0.156166
"Masato Yoshii"	0.155889
"Pat Mahomes"	0.155293
"Kevin Appier"	0.155107
"Armando Reynoso"	0.154966
"Orel Hershiser"	0.153094
"Ken Cloude"	0.152427
"Kent Bottenfield"	0.152269
"Omar Olivares"	0.152052
"Jose Lima"	0.151439
"Brian Anderson"	0.149414
"Jeff Fassero"	0.149183
"Ismael Valdes"	0.149064
"Kirk Rueter"	0.14841
"Mark Wohlers"	0.14824
Smoltz	0.147329
"Jeff Weaver"	0.147329
"Dan Miceli"	0.146635
"Steve Trachsel"	0.146625
"Bryce Florie"	0.145655
"Octavio Dotel"	0.142841
"Sean Bergman"	0.142744
"Scott Erickson"	0.141101
"Aaron Sele"	0.139648
"Randy Myers"	0.139327
"Jesus Sanchez"	0.13905
"STEVE WOODARD"	0.138825
"Tom Candiotti"	0.138717
"Mark Clark"	0.138542
"Willie Blair"	0.137645
Millwood	0.13709
"Mark Gardner"	0.137076
"Mac Suzuki"	0.136996
"Scott Elarton"	0.136909
"Mike Remlinger"	0.136861
"Rolando Arrojo"	0.13681
"Mike Sirotka"	0.135275
"Mark Petkovsek"	0.133566
"Omar Daal"	0.132683
"Tim Belcher"	0.132508
"Esteban Loaiza"	0.132231
"Dwight Gooden"	0.13163
"John Snyder"	0.131069
Bottenfield	0.130277
"Mark Langston"	0.130213
"Pedro Martinez"	0.129584
"Matt Morris"	0.129579
"Paul Abbott"	0.129107
"Sidney Ponson"	0.128723
"Brian Bohanon"	0.12812
"Russ Springer"	0.12808
"Kent Mercker"	0.128075
"Orlando Hernandez"	0.12775
"Jack McDowell"	0.127237
"Donne Wall"	0.127218
"John Halama"	0.126996
"Jeff Shaw"	0.12671
"Jim Parque"	0.124786
"Mark Portugal"	0.124309
"Terry Mulholland"	0.123855
"Troy Percival"	0.123848
"Chris Holt"	0.12375
"Jamey Wright"	0.123472
"Wilson Alvarez"	0.123372
"Ryan Dempster"	0.12308
"Bruce Chen"	0.122758
"Pete Schourek"	0.122187
"Tim Hudson"	0.122078
"Steve Sparks"	0.12096
"Scott Williamson"	0.120083
"Todd Stottlemyre"	0.119952
"Robb Nen"	0.119928
Harnisch	0.11957
"Matt Mantei"	0.118198
"Hideo Nomo"	0.117329
"Jamie Moyer"	0.116934
"Livan Hernandez"	0.116472
"Carl Pavano"	0.114702
"Steve Finley"	0.11454
"Tony Gwynn"	0.114276
"Juan Guzman"	0.114242
"Rod Beck"	0.114182
"Scott Karl"	0.114067
Benes	0.114047
Rusch	0.114012
Helling	0.113869
"Jason Bere"	0.113843
"Ryan Glynn"	0.112675
"John Hudek"	0.112655
Kile	0.112321
"Jeff Zimmerman"	0.111821
Neagle	0.110851
"Chuck Finley"	0.110062
"Brett Hinchliffe"	0.109764
"Jim Leyritz"	0.109171
"Matt Herges"	0.108618
"Turk Wendell"	0.108384
"Ramon Ortiz"	0.108337
Leiter	0.108318
"Ramiro Mendoza"	0.107362
"James Baldwin"	0.107084
Eldred	0.106556
Hentgen	0.106479
Mussina	0.106165
"Hideki Irabu"	0.105481
"Kerry Wood"	0.105233
"Eric Gagne"	0.105155
"Darren Oliver"	0.105035
Schilling	0.104393
"Jason Dickson"	0.104147
Dempster	0.10357
"Armando Benitez"	0.103526
"Carlos Perez"	0.103517
"Bret Boone"	0.10332
"Jose Jimenez"	0.103268
"Ron Villone"	0.103258
"Kerry Ligtenberg"	0.103194
Ashby	0.102973
Rueter	0.102592
"Mariano Rivera"	0.102413
Tapani	0.102401
"Shigetoshi Hasegawa"	0.101771
"Brian Rose"	0.101756
"Bill Pulsipher"	0.10134
"Ken Hill"	0.100919
"Quilvio Veras"	0.100769
"Jose Mesa"	0.0999714
Pavano	0.0998991
"Scott Sullivan"	0.0994745
"Byung-Hyun Kim"	0.099441
"Bobby Jones"	0.0990943
"Jamie Arnold"	0.0990689
Dreifort	0.0990084
"Rudy Seanez"	0.098899
Parris	0.0986923
"Rick Aguilera"	0.0986609
"Robinson Checo"	0.0981167
))
("Andy Benes" (desc 3468.07) (sims
"Armando Reynoso"	0.393936
"Omar Daal"	0.334234
"Brian Anderson"	0.31668
"Willie Blair"	0.312674
"Steve Parris"	0.262449
"Todd Stottlemyre"	0.253448
"Matt Mantei"	0.247977
"Woody Williams"	0.233632
"Pedro Astacio"	0.231386
"Shane Reynolds"	0.22833
"Jon Lieber"	0.225232
"John Burkett"	0.223489
"Rick Helling"	0.222011
"Scott Erickson"	0.220447
"Byung-Hyun Kim"	0.218237
"Darryl Kile"	0.211504
"Russ Ortiz"	0.21139
"Brad Radke"	0.210477
"Kevin Tapani"	0.209938
"Tim Belcher"	0.20721
"Dustin Hermanson"	0.205044
"Gregg Olson"	0.201132
"Jason Schmidt"	0.200912
"Pat Hentgen"	0.199205
"Brian Moehler"	0.197935
"Steve Trachsel"	0.197257
"Kevin Appier"	0.196526
"Juan Guzman"	0.1963
"Mark Gardner"	0.194551
"Mike Sirotka"	0.193752
Benes	0.192605
"Mark Petkovsek"	0.191495
"Mike Morgan"	0.190953
"Dave Mlicki"	0.189939
"Darren Holmes"	0.189602
"Esteban Loaiza"	0.189588
"Russ Springer"	0.189539
"Jamey Wright"	0.188029
"Pat Rapp"	0.187516
"Masato Yoshii"	0.186763
"Curt Schilling"	0.186056
"Tom Candiotti"	0.185854
"Gil Heredia"	0.185474
"Jeff Weaver"	0.185329
"STEVE WOODARD"	0.183801
"Bryce Florie"	0.182861
"Shawn Estes"	0.182859
"Matt Morris"	0.182437
"Francisco Cordova"	0.181643
"Terry Adams"	0.180464
"Wilson Alvarez"	0.180454
"Kirk Rueter"	0.178622
"Mark Clark"	0.17799
"Mark Portugal"	0.175379
"Jaret Wright"	0.174163
"Paul Abbott"	0.174043
"Aaron Sele"	0.17275
"Jamie Moyer"	0.172731
"Ken Cloude"	0.171947
"Mac Suzuki"	0.171549
"Eric Milton"	0.171323
"Darren Dreifort"	0.170897
"Jack McDowell"	0.169081
"Dwight Gooden"	0.168926
"Mike Mussina"	0.1687
"Jose Jimenez"	0.168524
"Brett Tomko"	0.168503
"Chris Carpenter"	0.168265
Reynoso	0.168115
"Pat Mahomes"	0.168054
"Gil Meche"	0.166561
"Chan Ho Park"	0.166166
"Sidney Ponson"	0.164679
"Andy Ashby"	0.164378
"Greg Swindell"	0.164297
"Scott Karl"	0.164085
"Pete Harnisch"	0.163866
"Orel Hershiser"	0.163833
"Al Leiter"	0.163814
"Jim Parque"	0.16367
"Jason Dickson"	0.163444
"Danny Graves"	0.163172
"Scott Elarton"	0.162873
"John Smoltz"	0.162185
"Jose Lima"	0.159766
"Darren Oliver"	0.15964
Hentgen	0.158847
"Antonio Osuna"	0.158576
"Al Levine"	0.158283
"Dave Burba"	0.157994
"Javier Vazquez"	0.157929
"Paul Shuey"	0.157689
"BRIAN MEADOWS"	0.157535
"Jesus Sanchez"	0.157473
"Steve Sparks"	0.157447
"Denny Neagle"	0.156993
"Mike Remlinger"	0.156828
Lieber	0.156221
"Joey Hamilton"	0.154756
"Tim Hudson"	0.154748
"Ramon Martinez"	0.15471
"Ryan Glynn"	0.154325
"Omar Olivares"	0.154312
"Bartolo Colon"	0.154215
"Jeff Fassero"	0.153773
"Rolando Arrojo"	0.153654
"Kent Mercker"	0.153135
"Chris Holt"	0.152896
"Brett Hinchliffe"	0.152786
"Ryan Dempster"	0.152756
"Rick Reed"	0.152677
"Mike Fetters"	0.152535
"Charles Nagy"	0.151301
"Ken Hill"	0.150822
"John Halama"	0.149709
"Freddy Garcia"	0.148941
Daal	0.148153
"Dan Miceli"	0.147361
"Ramon Ortiz"	0.146887
"John Wasdin"	0.146163
"Mike Hampton"	0.144822
"Alex Fernandez"	0.144689
"Carl Pavano"	0.144522
"John Hudek"	0.144295
Loaiza	0.143137
"Kenny Rogers"	0.142127
"Tim Wakefield"	0.14184
"Brian Rose"	0.141088
Trachsel	0.14081
"John Snyder"	0.140608
"Turk Wendell"	0.140213
"Robinson Checo"	0.139845
"Bret Saberhagen"	0.138968
"Mike Judd"	0.13887
"Billy Wagner"	0.138019
"Kent Bottenfield"	0.137657
"Mike Timlin"	0.136961
"Chuck Finley"	0.136398
"Paul Byrd"	0.136212
"Hideo Nomo"	0.13586
"Ismael Valdes"	0.135086
"Jason Bere"	0.134727
Harnisch	0.134499
"Terry Mulholland"	0.134394
"Scott Williamson"	0.134202
"Arthur Rhodes"	0.133729
Rusch	0.133506
"Rick Aguilera"	0.133243
"Troy Percival"	0.132485
Astacio	0.132384
"Octavio Dotel"	0.131869
"Robb Nen"	0.131806
"Livan Hernandez"	0.13178
"Alan Embree"	0.131763
Tapani	0.131638
"Sean Bergman"	0.131075
"Matt Herges"	0.130394
"Rudy Seanez"	0.130332
Suppan	0.130148
"Ramiro Mendoza"	0.130024
"Brian Bohanon"	0.129766
"Jarrod Washburn"	0.12975
"John Wetteland"	0.129188
"Jay Powell"	0.129176
"Pete Schourek"	0.129048
"Jason Isringhausen"	0.128822
"Ron Villone"	0.128728
"Shigetoshi Hasegawa"	0.127978
Burkett	0.127934
Radke	0.127669
"Justin Thompson"	0.127491
"Rod Beck"	0.126615
"DOUG JONES"	0.126453
Mercker	0.126358
"Matt Williams"	0.126309
"Jin Ho Cho"	0.125634
"Doug Henry"	0.125632
"Scott Schoeneweis"	0.124944
"Jamie Arnold"	0.124723
"Scott Sullivan"	0.124202
"Jeff Zimmerman"	0.124157
"Travis Lee"	0.122472
"Kevin Brown"	0.122153
"Kevin Millwood"	0.121848
Kile	0.121357
"Eric Gagne"	0.12116
Yoshii	0.120177
"Tim Crabtree"	0.119494
Bottenfield	0.119366
"James Baldwin"	0.119164
"Roger Clemens"	0.119131
"David Cone"	0.119013
Moehler	0.118464
"Armando Benitez"	0.118013
"Brian Cooper"	0.117904
Stottlemyre	0.117595
"Odalis Perez"	0.117486
Sele	0.117421
"Scott Radinsky"	0.117069
"Kerry Ligtenberg"	0.117025
"Orlando Hernandez"	0.116888
"Jose Mesa"	0.116469
Petkovsek	0.116436
"Luis Gonzalez"	0.116386
"Derek Lowe"	0.116054
"Bruce Chen"	0.115971
Bere	0.115535
"Vladimir Nunez"	0.115518
Dempster	0.115269
"Greg Maddux"	0.114629
"Brad Penny"	0.114425
Pavano	0.114376
"Hideki Irabu"	0.113557
"Ricky Bottalico"	0.113553
"Jim Corsi"	0.113322
"Carlos Perez"	0.113048
"Rick White"	0.11231
"Jeff Nelson"	0.112002
Hermanson	0.111849
"Bobby Jones"	0.111727
"Greg McMichael"	0.111666
Checo	0.111031
"Randy Johnson"	0.111023
"Steve Finley"	0.11092
"Mike Magnante"	0.110841
"Ugueth Urbina"	0.110355
"Kerry Wood"	0.107395
"Heathcliff Slocumb"	0.107329
"Jose Paniagua"	0.107145
"Mark Langston"	0.106499
Mahomes	0.106444
"Doug Davis"	0.106125
"Bill Pulsipher"	0.105798
"Danny Patterson"	0.105649
Candiotti	0.105435
Mussina	0.105308
Schourek	0.105159
Rueter	0.105039
"Steve Avery"	0.104977
"Tom Glavine"	0.104819
"Donne Wall"	0.104698
"Jeff Shaw"	0.103781
Tomko	0.102941
"Alan Mills"	0.102177
"Rheal Cormier"	0.101978
"Pedro Martinez"	0.10122
"Mariano Rivera"	0.10119
"John Franco"	0.101122
Smoltz	0.100838
"Trevor Hoffman"	0.100119
Helling	0.100104
))
("Andy Cole" (desc 2474.87) (sims
"Ryan Giggs"	0.444249
"Ole Gunnar Solskjaer"	0.436715
"Paul Scholes"	0.33603
"Roy Keane"	0.325726
"David Beckham"	0.293182
"Dwight Yorke"	0.291814
"Teddy Sheringham"	0.284861
"Alan Shearer"	0.238815
"Gary Neville"	0.236981
"Harry Kewell"	0.170067
"Jaap Stam"	0.156903
"Michael Owen"	0.152412
"Eric Cantona"	0.152035
"Robbie Fowler"	0.14385
"Darren Anderton"	0.143659
"Paolo Di Canio"	0.143227
"Tony Adams"	0.141798
"Ian Wright"	0.141756
"Sol Campbell"	0.131602
Yorke	0.126981
"Predrag Mijatovic"	0.122703
"Paul Gascoigne"	0.121742
"Paul Ince"	0.115391
"Faustino Asprilla"	0.114567
Beckham	0.113981
"Stan Collymore"	0.112953
"Tore Andre Flo"	0.110404
"Dejan Stankovic"	0.105474
"Paul Merson"	0.105471
"Adrian Ilie"	0.103871
"George Weah"	0.103727
"Hao Haidong"	0.102043
"Marcelo Salas"	0.0997229
"Brian Laudrup"	0.0986829
"Fabrizio Ravanelli"	0.0955334
"Hristo Stoichkov"	0.0949681
"Roy Lassiter"	0.0944655
"David Trezeguet"	0.0938946
"Ali Daei"	0.0929902
Scholes	0.0919679
"Robert Prosinecki"	0.0913882
"Raul Gonzalez"	0.0897267
"Carlos Hermosillo"	0.0892135
"Patrick Kluivert"	0.0888897
Anelka	0.0865044
"Ariel Ortega"	0.0854682
"Ulf Kirsten"	0.0850095
"Nicolas Anelka"	0.0848312
"Luis Hernandez"	0.0845241
Edmundo	0.0842749
"Hernan Crespo"	0.0841867
"Peter Schmeichel"	0.0819004
"Juergen Klinsmann"	0.0813748
"Enrico Chiesa"	0.0813148
"Gianfranco Zola"	0.0808178
"Thierry Henry"	0.0782091
"Dejan Savicevic"	0.0780442
"Claudio Lopez"	0.0777474
"Nwankwo Kanu"	0.0776381
"Gabriel Batistuta"	0.0776198
"Stern John"	0.0774581
"Filippo Inzaghi"	0.0762733
"Mark Williams"	0.0755859
"Hidetoshi Nakata"	0.0750899
"Davor Suker"	0.0746237
"Oliver Bierhoff"	0.074551
"Ivan Zamorano"	0.0740971
Alfonso	0.0736024
Shearer	0.0730596
"Ante Razov"	0.0730226
"Mario Stanic"	0.0723499
Vidro	0.0717797
Bebeto	0.0717724
"Alen Boksic"	0.0715688
"Gheorghe Hagi"	0.0715387
"Khodadad Azizi"	0.071442
"Dennis Bergkamp"	0.0710401
"Cindy Parlow"	0.0701056
Salas	0.0700188
Bergkamp	0.068568
"Raul Diaz Arce"	0.0677006
"Youri Djorkaeff"	0.0676477
"Joe-Max Moore"	0.0673828
Suker	0.0673789
Vieri	0.0671551
"Eric Wynalda"	0.0671327
"Alex Ferguson"	0.0667292
Hagi	0.0665521
Juninho	0.066344
"Steve McManaman"	0.066178
"Luigi Di Biagio"	0.0660646
"Brian McBride"	0.0655575
"Phillip Cocu"	0.0653853
"Van Roost"	0.0650016
Denilson	0.0642477
"Pierluigi Casiraghi"	0.0637919
"Sun Wen"	0.0636511
"Christian Vieri"	0.0634394
"Christophe Dugarry"	0.0628674
"Alessandro Del Piero"	0.0622525
"John Collins"	0.0609464
"Tiffeny Milbrett"	0.0603912
"Ben Olsen"	0.0603272
Batistuta	0.0599327
"Roberto Baggio"	0.0599161
Romario	0.0597645
Karlsson	0.0590874
Berasategui	0.0589472
Turgeon	0.0588075
Lapentti	0.0585891
"Bobby Charlton"	0.0582963
Hwang	0.0579222
"Michael Laudrup"	0.057887
Drury	0.0574046
Mendez	0.0560989
"Patrick Vieira"	0.0550249
Primeau	0.0546448
Rivaldo	0.0543967
Sundin	0.0539208
Djorkaeff	0.0537599
Klinsmann	0.0535959
Laudrup	0.0534872
"Gianluca Vialli"	0.0532135
Flo	0.0529381
Welton	0.052525
Andreychuk	0.0521438
Bierhoff	0.0517604
"Luis Figo"	0.0517275
Raul	0.0516166
Halard-Decugis	0.051589
Bayern	0.0515801
"Clint Mathis"	0.0512322
Keane	0.0512218
Donato	0.0510883
Ferreira	0.0508817
Kluivert	0.0507879
"Diego Simeone"	0.0506081
"Robert Jarni"	0.0505719
"Ruud Gullit"	0.0504036
"Donyell Marshall"	0.0499757
Ince	0.049156
Abdur-Rahim	0.0491243
Stoltenberg	0.0490924
Mantilla	0.048981
Lieberthal	0.0489143
Audette	0.0487673
Neville	0.0486933
"Jennifer Gillom"	0.0486604
Rucchin	0.0482172
Giambi	0.0481439
"Fan Zhiyi"	0.0480609
"Greg Adams"	0.0478961
"Emmanuel Petit"	0.0477784
Recker	0.0475936
D'Alessandro	0.0474745
Langham	0.0473955
Prinosil	0.0473611
Raoux	0.0473396
Swoopes	0.0472064
Vialli	0.0471957
"Diego Maradona"	0.0471558
Baggio	0.0469388
Artest	0.0468138
Pippig	0.0466821
"Mattias Norstrom"	0.0463014
Ferdinand	0.0462996
Owen	0.0461002
"Rebecca Lobo"	0.0460477
Zamorano	0.0459025
Dunston	0.045886
Kamensky	0.0458423
"Del Piero"	0.0457956
Aurilia	0.0457725
Gustafsson	0.0457207
Tanganyika	0.0454975
Kovalev	0.0454308
Contreras	0.0453916
Rolen	0.0452316
"David Ortiz"	0.0450612
Samuelsson	0.0449926
Sissi	0.0448898
Fulham	0.0448321
Fedorov	0.0448161
"Chris Warren"	0.0447963
"Lothar Matthaeus"	0.0445697
"Peter Bondra"	0.0443799
Nakata	0.044368
Gorter	0.0443094
Bullard	0.0442361
Zico	0.0438969
Lucic	0.0437568
Xiong	0.0437063
"Zinedine Zidane"	0.043642
"Matt Santangelo"	0.0436115
Selanne	0.0434848
Medvedev	0.0434705
Saunders	0.0433988
Sergio	0.0433393
Lobo	0.0432822
"Juan Encarnacion"	0.0432793
))
("Andy Fox" (desc 3036.12) (sims
"Kelly Stinnett"	0.300812
"Greg Colbrunn"	0.267072
"Jay Bell"	0.260824
"Marvin Benard"	0.256465
"Russ Johnson"	0.244253
"Desi Relaford"	0.24409
"Tim Bogar"	0.240959
"Jose Hernandez"	0.239805
"Bill Spiers"	0.237888
"Travis Lee"	0.236115
"Tony Womack"	0.233017
"Ray Durham"	0.231998
"Luis Gonzalez"	0.228716
"Steve Finley"	0.223594
"Tony Batista"	0.223189
Vidro	0.221098
"Deivi Cruz"	0.220231
"Joe McEwing"	0.216908
"Warren Morris"	0.215752
"Melvin Mora"	0.215524
"Mark Loretta"	0.214159
"Lenny Harris"	0.211984
"Damian Jackson"	0.211417
"Matt Williams"	0.211344
"Damian Miller"	0.208428
"Eric Owens"	0.206543
"David Bell"	0.204151
"Geoff Jenkins"	0.203029
"Manny Alexander"	0.201608
"Tony Eusebio"	0.201006
"Mickey Morandini"	0.200938
"Scott Spiezio"	0.200331
"Enrique Wilson"	0.200133
"Luis Lopez"	0.200098
"Damion Easley"	0.1996
"Cristian Guzman"	0.199179
"Todd Walker"	0.198865
"Quilvio Veras"	0.197515
"Mike Bordick"	0.197482
"Erubiel Durazo"	0.196489
"Benji Gil"	0.195481
"Brad Fullmer"	0.194958
"Jose Valentin"	0.193895
"Darren Lewis"	0.192363
"Fernando Vina"	0.190387
"Derrek Lee"	0.190194
"Brian Hunter"	0.190098
"Miguel Tejada"	0.186814
"Mark Kotsay"	0.186786
"Kevin Stocker"	0.185969
"Karim Garcia"	0.184065
"Luis Castillo"	0.183709
"Randy Velarde"	0.183685
"Jeff Frye"	0.182459
"John Mabry"	0.182271
"Miguel Cairo"	0.181431
"John Vander Wal"	0.181094
"Jose Offerman"	0.180544
"David Dellucci"	0.180018
"Chris Gomez"	0.179583
"Craig Counsell"	0.178998
"Ozzie Guillen"	0.178363
"Matt Lawton"	0.178311
"Adam Kennedy"	0.178032
"Royce Clayton"	0.177943
"Matt Franco"	0.177712
"Pat Meares"	0.177223
"Doug Glanville"	0.177194
"Butch Huskey"	0.176289
"Eddie Taubensee"	0.175908
"Alex Gonzalez"	0.17537
"Luis Alicea"	0.174185
"Jeff Conine"	0.172625
"Mark Grudzielanek"	0.172328
"Tony Graffanino"	0.17003
"F.P Santangelo"	0.170013
"Bobby Higginson"	0.169946
"Jose Vizcaino"	0.169903
Rolen	0.169465
"Gerald Williams"	0.169325
"Jose Guillen"	0.168879
"Edgar Renteria"	0.168802
"Scott Rolen"	0.167707
"Terrence Long"	0.16663
"Kevin Elster"	0.165973
"Ruben Rivera"	0.165768
"Trot Nixon"	0.16566
"Rich Aurilia"	0.165303
"Orlando Palmeiro"	0.164826
Lankford	0.164619
"Ron Coomer"	0.164516
"Shannon Stewart"	0.164141
"Bobby Abreu"	0.163559
Glaus	0.162549
"Bernard Gilkey"	0.162496
"Mike Lamb"	0.16214
"Benny Agbayani"	0.161942
"Shawn Green"	0.161913
"Kevin Jordan"	0.16137
"Glenallen Hill"	0.161346
"Devon White"	0.161275
"Bill Mueller"	0.160185
Renteria	0.16011
"Bruce Aven"	0.159598
"Dmitri Young"	0.158996
"Tony Phillips"	0.158908
"Vladimir Guerrero"	0.15833
"Tim Salmon"	0.158012
"Walt Weiss"	0.157369
"Pokey Reese"	0.15714
"Omar Vizquel"	0.156293
"Dave Hansen"	0.15623
"Neifi Perez"	0.156064
"Craig Biggio"	0.155797
"Russ Davis"	0.155298
"Edgardo Alfonzo"	0.155198
"David Ortiz"	0.154912
"Carlos Delgado"	0.154823
"Ricky Gutierrez"	0.15473
"Jose Vidro"	0.154728
"Jeromy Burnitz"	0.154727
"Marquis Grissom"	0.154717
"Troy Glaus"	0.153626
"Mike Sweeney"	0.153018
"Kurt Abbott"	0.152594
Burnitz	0.152211
Giambi	0.152126
"Carlos Lee"	0.151737
"Mark McLemore"	0.150874
Alfonzo	0.150786
"Herbert Perry"	0.150429
Aurilia	0.150291
"Shawon Dunston"	0.150127
"Mike Benjamin"	0.149942
"Jeff Kent"	0.149844
"Alex Cora"	0.149484
"Wilton Guerrero"	0.149368
"Dan Wilson"	0.149181
"Jermaine Dye"	0.14909
"Dave Martinez"	0.148365
"Damon Buford"	0.148117
"Mike Lansing"	0.147939
"Phil Nevin"	0.147654
"Paul Konerko"	0.147619
"Raul Mondesi"	0.147325
"Ken Caminiti"	0.147189
Fullmer	0.147083
"Paul Bako"	0.147006
Karros	0.146347
"Eric Karros"	0.145736
"Jason Varitek"	0.145717
"Mike Cameron"	0.145395
Spiers	0.145137
"Brian Daubach"	0.144891
"Rondell White"	0.1447
"Eric Young"	0.144578
"Rey Sanchez"	0.144565
"Jeff Bagwell"	0.144389
"Carlos Beltran"	0.144116
"Kevin Young"	0.143669
"Derek Bell"	0.143668
"Chuck Knoblauch"	0.142967
"Charlie Hayes"	0.142537
"Andruw Jones"	0.142531
"Wally Joyner"	0.142317
"Marty Cordova"	0.142156
Bordick	0.142094
"John Valentin"	0.141128
Offerman	0.141062
"Joe Randa"	0.140738
Merloni	0.140623
"Fred McGriff"	0.140387
"Barry Larkin"	0.14007
"Rich Becker"	0.140052
Tatis	0.140033
"Ryan Klesko"	0.139975
"Jeremy Giambi"	0.139782
"Danny Bautista"	0.13936
"Chad Curtis"	0.138882
"Einar Diaz"	0.138745
"Roberto Alomar"	0.137938
"Adrian Beltre"	0.1374
"Luis Polonia"	0.137225
"Darren Bragg"	0.137197
"Al Martin"	0.137154
"Delino DeShields"	0.137035
"Mark Grace"	0.136855
Hatteberg	0.136716
"Roger Cedeno"	0.136654
"Jay Payton"	0.136575
"Eric Chavez"	0.136452
"Luis Sojo"	0.136277
Veras	0.136231
"Gary Sheffield"	0.135972
"Fernando Tatis"	0.135963
"Keith Lockhart"	0.135948
Grudzielanek	0.135584
"Jeff Cirillo"	0.135255
"Preston Wilson"	0.135225
"Tom Goodwin"	0.135111
"Quinton McCracken"	0.134866
"Jeff Huson"	0.134774
"Matt Stairs"	0.134636
"Ray Lankford"	0.134505
"Mike Caruso"	0.134488
"Lee Stevens"	0.13402
"Bret Boone"	0.133953
"Ellis Burks"	0.133868
"Magglio Ordonez"	0.133722
"J.T Snow"	0.133415
"Jim Leyritz"	0.133263
"Todd Hundley"	0.132969
"Scott Brosius"	0.132705
"Richard Hidalgo"	0.132495
"Kenny Lofton"	0.132035
"Robin Ventura"	0.131971
"Mike Stanley"	0.131713
"John Olerud"	0.131529
grieve	0.131377
"Rey Ordonez"	0.13119
"Bubba Trammell"	0.131054
"Brady Anderson"	0.13105
Batista	0.131
"Rusty Greer"	0.130855
"Garret Anderson"	0.130427
"Chris Widger"	0.130171
Cirillo	0.12997
Velarde	0.129772
"Dante Bichette"	0.129505
"Stan Javier"	0.129498
"Donnie Sadler"	0.129484
"Troy O'Leary"	0.12885
"Chipper Jones"	0.12882
"CARLOS HERNANDEZ"	0.128721
"Carlos Baerga"	0.128252
"Rickey Henderson"	0.128109
Beltre	0.128084
"Todd Greene"	0.127917
Agbayani	0.12783
"Mike Lieberthal"	0.126992
Valentin	0.126905
"Henry Rodriguez"	0.12674
"Ricky Ledee"	0.126557
"Raul Ibanez"	0.126275
"Michael Tucker"	0.126041
"Joey Cora"	0.125995
"Todd Pratt"	0.125658
"Edgar Martinez"	0.125523
"Derek Jeter"	0.125353
Ordonez	0.125341
"Pat Burrell"	0.12521
"Rafael Furcal"	0.125159
Gilkey	0.124134
Abreu	0.124041
"Javy Lopez"	0.123855
Lieberthal	0.12357
DiSarcina	0.12353
"Ron Gant"	0.122732
"Greg Vaughn"	0.122496
Erstad	0.122231
"Dean Palmer"	0.122148
"Lance Berkman"	0.121776
"Rico Brogna"	0.121753
"Matt Walbeck"	0.121673
"Willie Greene"	0.121552
Glanville	0.121481
"Rob Ducey"	0.121211
Sexson	0.120887
Olerud	0.120869
Huskey	0.120707
Randa	0.120693
"Richie Sexson"	0.120656
"Jose Cruz Jr."	0.120652
"Johnny Damon"	0.120429
"Jeffrey Hammonds"	0.120375
"Brent Mayne"	0.120353
"Todd Hollandsworth"	0.120328
Bagwell	0.120163
"Jay Buhner"	0.120023
"Will Clark"	0.11966
Higginson	0.119173
"Ed Sprague"	0.119054
"Clay Bellinger"	0.118692
"Andy Sheets"	0.118691
"Matt Luke"	0.118468
Garciaparra	0.118263
"B.J Surhoff"	0.118078
"Todd Helton"	0.117972
"Chili Davis"	0.117737
"Jason Kendall"	0.117611
"Brad Ausmus"	0.117461
"Brook Fordyce"	0.117457
"Darin Erstad"	0.117166
"Jim Thome"	0.117066
"Craig Paquette"	0.11691
"Vinny Castilla"	0.116688
Nevin	0.116628
Furcal	0.116193
"David Segui"	0.115991
Catalanotto	0.115454
"J.D Drew"	0.115449
"Carl Everett"	0.11535
"Corey Koskie"	0.115005
Fryman	0.114863
Delgado	0.114507
"Sean Casey"	0.113155
DeShields	0.112991
"Scott Hatteberg"	0.112986
"Cliff Floyd"	0.112761
"Nomar Garciaparra"	0.111458
"Jason Giambi"	0.110308
"Tony Clark"	0.110199
"Tom Lampkin"	0.110173
"Trenidad Hubbard"	0.110063
"Tino Martinez"	0.109807
Klesko	0.109402
"Paul O'Neill"	0.109333
"Alex Rodriguez"	0.109322
Surhoff	0.109242
Guillen	0.10897
Stinnett	0.108849
Alomar	0.108515
Cedeno	0.10844
"Aaron Boone"	0.10834
McLemore	0.108002
"Travis Fryman"	0.107997
"Gregg Zaun"	0.107528
"Jorge Posada"	0.107465
"Carlos Febles"	0.107088
Lawton	0.106911
Daubach	0.10681
"Homer Bush"	0.106751
"Brian Giles"	0.10639
"Sean Berry"	0.106019
"Rafael Palmeiro"	0.105923
Konerko	0.104894
Biggio	0.104832
"Mike Piazza"	0.104684
"Harold Baines"	0.104347
"Jon Nunnally"	0.104208
McGriff	0.104177
"Carlos Guillen"	0.104114
Dunston	0.103779
Jeter	0.103679
"Charles Johnson"	0.103178
"Gary DiSarcina"	0.102906
"Omar Daal"	0.102719
"Reggie Sanders"	0.102531
Vizquel	0.102512
"Jason McDonald"	0.102511
Suppan	0.102501
"Reggie Jefferson"	0.102324
"Peter Bergeron"	0.102115
"Brian McRae"	0.101977
Knoblauch	0.101915
Hollins	0.101561
"Brian Jordan"	0.10122
"Todd Zeile"	0.101165
Javier	0.101128
Ledee	0.100982
"Tony Fernandez"	0.100896
Palmeiro	0.10067
"Jim Edmonds"	0.100631
"Matt Mantei"	0.100323
"Gregg Jefferies"	0.100235
))
("Andy Griffith" (desc 1230.03) (sims
"Mary Tyler Moore"	0.126365
"Love Lucy"	0.107369
"Liv Tyler"	0.102895
"Home Run Derby"	0.0799444
"Love Boat"	0.079727
"Brady Bunch"	0.0748715
"Kate Hudson"	0.0729347
"Jerry Springer"	0.0714432
"Martha Stewart Living"	0.068554
honeymooner	0.0639426
"Kim Basinger"	0.0635589
"Michael Caine"	0.0620299
"Murphy Brown"	0.0602222
Bullwinkle	0.0570858
"Texas ranger"	0.0566841
seesaw	0.0561175
"Star Trek"	0.0560327
"Juliette Lewis"	0.0555536
"Stockard Channing"	0.0538229
"Les Bleus"	0.0530348
"Drew Carey"	0.0506818
fizz	0.0506038
Luong	0.0505464
Cosby	0.0502452
"wild West"	0.0498937
Ozzie	0.049768
"Sesame Street"	0.0496921
marionette	0.0495681
Botox	0.0492062
seven-hour	0.0489906
special-teams	0.0487245
"Arnold Schwarzenegger"	0.0482914
"Edie Falco"	0.0482466
Dench	0.0478693
"Jekyll and Hyde"	0.0477699
"Johnny Carson"	0.0475898
gonzo	0.0472945
Korn	0.0466088
"Geoffrey Rush"	0.0465862
Opry	0.046176
"Food Network"	0.045983
"Freddie Prinze Jr."	0.0459366
top-class	0.0458959
"Geena Davis"	0.0456325
Archaeopteryx	0.0456099
"Ewan McGregor"	0.0451225
"Peter Fonda"	0.0450335
"Willie Nelson"	0.0449197
"Robert Redford"	0.0438333
"Hail Mary"	0.0437235
"Linda Ronstadt"	0.043083
"embryonic cell"	0.042693
"World Championship"	0.0426471
"Marx Brothers"	0.0426437
"Harrison Ford"	0.0423785
"Lynn Redgrave"	0.0422877
"matinee idol"	0.0422333
"James Woods"	0.0419091
"Joan Allen"	0.0418686
"Matt Damon"	0.0418072
"Marlon Brando"	0.0413253
"Dustin Hoffman"	0.0412222
"Kris Kristofferson"	0.0406113
Baywatch	0.0405129
"Angela Bassett"	0.0405037
Brecht	0.0403797
"Gore Vidal"	0.0403756
))
("Andy Katzenmoyer" (desc 3849.59) (sims
"Chris Claiborne"	0.217197
Katzenmoyer	0.171179
"Dat Nguyen"	0.164117
"Ted Johnson"	0.160818
"Keith Brooking"	0.149309
"David Boston"	0.145862
"Tebucky Jones"	0.143822
"LaVar Arrington"	0.141455
"Chris Slade"	0.140901
"Todd Collins"	0.139224
"L.J Shelton"	0.13038
"Michael Wiley"	0.127053
"JEVON KEARSE"	0.123782
"Sebastian Janikowski"	0.121922
"Robert Edwards"	0.121485
"Willie McGinest"	0.119661
"Champ Bailey"	0.116843
"Tedy Bruschi"	0.115937
"Chris Canty"	0.11452
Diggs	0.10866
"Damien Woody"	0.10572
"Steve Israel"	0.105714
"Jessie Armstead"	0.105274
"Thomas Jones"	0.104643
"Torry Holt"	0.104226
"J.R Redmond"	0.103807
"Andre Wadsworth"	0.101709
"Ken Johnson"	0.101113
"Greg Ellis"	0.0999045
"John Avery"	0.0979727
"Leon Smith"	0.0974289
"Kevin Faulk"	0.0969711
"Curtis Enis"	0.0962184
"Shawn Jefferson"	0.0955401
"Dwayne Goodrich"	0.0952484
"Tony Simmons"	0.0943943
"Edgerrin James"	0.092961
"Troy Brown"	0.0917785
"Derrick Thomas"	0.0911843
"James Johnson"	0.0903309
"Tony George"	0.0900408
"Michael Olowokandi"	0.0899065
"Devean George"	0.0888159
"Andre Miller"	0.0872373
"Cecil Collins"	0.0864139
"Michael Redd"	0.0858847
"Zach Thomas"	0.0855703
"Peter Warrick"	0.0846614
"Kris Farris"	0.0838967
"Vincent Brisby"	0.0838697
"Pat Burrell"	0.0837244
"Solomon Page"	0.0834063
"Shawn Marion"	0.0830708
"Tony Carter"	0.0817595
"Ron Dayne"	0.0816193
"Bryan Cox"	0.0810145
"Quentin Coryatt"	0.0805102
"Ty Law"	0.0801536
"Mateen Cleaves"	0.0801536
"Ron Artest"	0.0786934
"Mike Jones"	0.0785331
"Chris Porter"	0.0781153
"Brandon Mitchell"	0.077812
"Elton Brand"	0.0776043
"Cornelius Bennett"	0.0775791
"Chad Pennington"	0.0771409
"Randall Godfrey"	0.0770873
"J.D Drew"	0.0756906
"Scoonie Penn"	0.0753518
"Patrik Stefan"	0.0752308
"Jessie Tuggle"	0.0745338
"Wally Szczerbiak"	0.073922
"Tee Martin"	0.0731485
"Darrin Smith"	0.0730808
"John Tait"	0.0729852
"Chamique Holdsclaw"	0.0728519
"Michael Booker"	0.071863
"Jason Terry"	0.0716989
"Adam Vinatieri"	0.0709329
"Michael Bishop"	0.0708694
"Mike Bibby"	0.0705264
"Terry Glenn"	0.0699458
"Bill Romanowski"	0.0696316
"Tony White"	0.069559
"Trung Canidate"	0.0692139
"Ebenezer Ekuban"	0.0691038
"Fred Taylor"	0.0689449
"Ray Lewis"	0.0679685
"Al Harrington"	0.0672506
"Jamal Lewis"	0.0672137
"Heath Irwin"	0.0669274
"Mo Lewis"	0.0667783
"Brock Huard"	0.0660384
"Flozell Adams"	0.065772
"Bruce Armstrong"	0.0656412
"Terry Allen"	0.064927
"Raef LaFrentz"	0.0644197
"Richard Hamilton"	0.0636707
"Tim Couch"	0.0636297
"Danny Farmer"	0.0634847
"Chris McAlister"	0.0630618
halfback	0.0630326
"Jumaine Jones"	0.063028
linemen	0.0624633
"Ryan Leaf"	0.0623282
"Dexter Coakley"	0.0622846
"Drew Bledsoe"	0.0622476
"Mark Madsen"	0.0619626
"Jason Fabini"	0.0618985
"Paul Pierce"	0.0613307
"Peyton Manning"	0.0611953
"Donovan McNabb"	0.0609749
"R. Jay Soward"	0.0607291
"Pat Garrity"	0.0606641
"Dez White"	0.0600558
"Kenyon Martin"	0.06003
"Baron Davis"	0.0595436
"John Lynch"	0.059485
"Henri Crockett"	0.0594328
"Steve Francis"	0.0593387
"Brenden Morrow"	0.0592767
"Doug Johnson"	0.058917
"Kenny Thomas"	0.058709
"Shaun King"	0.0586322
"Dimitrius Underwood"	0.0583856
"Todd Husak"	0.0582691
McGinest	0.0580682
"Quincy Carter"	0.0579174
"Ricky Williams"	0.0575122
"Tim Dwight"	0.0574711
"Dirk Nowitzki"	0.057013
"Akili Smith"	0.0567192
"Bonzi Wells"	0.0561733
"Manny Malhotra"	0.0557769
"Jeff Weaver"	0.0550758
Bly	0.0549643
"Cade McNown"	0.0549557
Rutledge	0.0548461
"Ben Coates"	0.0546536
"Lawrence Taylor"	0.0546205
Holdsclaw	0.0545207
"Pepper Johnson"	0.0544435
"Kevin Williams"	0.05435
"Wane McGarity"	0.054205
"Ryan Nece"	0.0536056
"Willie Clay"	0.0531135
"Tyronn Lue"	0.0526446
"Darius Miles"	0.0526382
"Manny Fernandez"	0.0526371
"Michael Myers"	0.0524134
"Eddie George"	0.0523156
"Eddie House"	0.0520495
"Robert Thomas"	0.0514891
"Corey Maggette"	0.0512186
"Norm Maracle"	0.0511899
"Joe Hamilton"	0.051117
"Mike Brown"	0.0510183
"Charlie Batch"	0.0509129
Godfrey	0.0508831
"Mario Edwards"	0.050666
Tillman	0.0503535
"Antawn Jamison"	0.0503185
"Lee Nailon"	0.0498421
Nguyen	0.0496669
cornerbacks	0.0490278
Romanowski	0.0488222
cornerback	0.0483549
"Skip Hicks"	0.0481373
"Brian Griese"	0.0481363
"Jonathan Bender"	0.0481039
"Etan Thomas"	0.0474666
"Adam Kennedy"	0.0472648
"Ephraim Salaam"	0.0472091
"Jamir Miller"	0.0471859
lineman	0.0469263
Manning	0.0466129
"Keith Smith"	0.0465086
Olowokandi	0.0462462
Lett	0.0459459
"Chris Weinke"	0.0457383
"Wilton Veras"	0.045535
"Ryan Glynn"	0.0452974
"Matt Santangelo"	0.0451957
"Matt Kenseth"	0.0451307
"Shaun Alexander"	0.0450795
"Trajan Langdon"	0.0450787
Ohioan	0.0446159
"Dave Wohlabaugh"	0.0445825
"Jason Williams"	0.0445155
"Charles Woodson"	0.0443947
"Marcus Outzen"	0.0443877
Maggette	0.04422
"Toby Bailey"	0.0441808
Graziani	0.0441573
"Michael Dickerson"	0.0440179
Spielman	0.0437689
"Lawrence Phillips"	0.0436293
"Vince Carter"	0.0435301
"Samaki Walker"	0.043265
"Marcus Fizer"	0.0430384
))
("Andy Kaufman" (desc 3787.44) (sims
Kaufman	0.0993973
"Jim Carrey"	0.0974998
"Martin Lawrence"	0.0972605
"Jeffrey Wigand"	0.0836707
"George Carlin"	0.081757
"Mel Brooks"	0.078662
"Mike Myers"	0.0743929
"Al Franken"	0.0730634
pre	0.0691238
"Jerry Seinfeld"	0.066394
"Eddie Murphy"	0.0662766
comedian	0.0661589
"Lewis Carroll"	0.0639627
"Garry Shandling"	0.06385
"Steve Martin"	0.0632256
"Dennis Miller"	0.0632141
"Woody Allen"	0.0628895
"Roberto Benigni"	0.0620104
temptress	0.0606603
"character actor"	0.059482
"Bill Cosby"	0.0588486
Lecter	0.057853
Antz	0.0574158
"David Spade"	0.0570598
"Jesse James"	0.0542234
"Audrey Hepburn"	0.0541874
"Robin Williams"	0.0540286
"Joan Rivers"	0.0528656
pratfalls	0.0528648
"John Belushi"	0.0523434
Selena	0.0513159
"bit part"	0.050523
"chicken run"	0.0502614
"Adam Sandler"	0.0501998
"George Wallace"	0.0498426
sidekick	0.0494697
"Chris Rock"	0.0489
Dramedy	0.0488251
Laperriere	0.0486673
"Chevy Chase"	0.0485525
"New York Republicans"	0.048446
"Billy Crystal"	0.0483287
"Jacqueline Kennedy Onassis"	0.0472044
Schlichtmann	0.0470734
schemer	0.0467429
"Dallas Burn"	0.046686
"Abbie Hoffman"	0.0464986
"Zhou Enlai"	0.0463676
madman	0.0463628
"Miami Fusion"	0.045787
paraplegic	0.0456241
hopefulness	0.0453992
"Don Quixote"	0.0450202
"Jon Stewart"	0.0448921
"Patch Adams"	0.0448432
"Limp Bizkit"	0.0448137
Veerappan	0.0447446
"Underground Railroad"	0.0445915
Wigand	0.0445143
"Lincoln Center Theater"	0.0442892
"Brian Wilson"	0.0442817
"Yankee Clipper"	0.0439792
"Austin Powers"	0.0438713
"Marilyn Monroe"	0.0437601
"HOWARD COSELL"	0.0434679
Lue	0.0432802
villain	0.0431032
"Mae West"	0.0429614
"Woody Guthrie"	0.0429609
"Albert Brooks"	0.042762
ancients	0.0427279
vasectomy	0.042464
Rosie	0.0422906
"Paul Gascoigne"	0.0420197
"Washington Mystics"	0.0420128
"David Letterman"	0.0419082
"leading man"	0.0417762
"Norm MacDonald"	0.041772
Irishmen	0.0415899
"Sean Connery"	0.0414913
"Pulp Fiction"	0.0412156
Cahill	0.0411493
"Brad Pitt"	0.0410624
masculinity	0.0410585
Barrie	0.0409365
deftness	0.0406293
"Anakin Skywalker"	0.0405912
"Calgary Flames"	0.0405503
"American Pie"	0.0405225
"Jerry Lewis"	0.0404699
))
("Andy Pettitte" (desc 10704) (sims
"David Cone"	0.319853
"Orlando Hernandez"	0.301805
"Hideki Irabu"	0.301423
"David Wells"	0.273677
"Ramiro Mendoza"	0.266084
"Mariano Rivera"	0.2502
"Roger Clemens"	0.225924
Pettitte	0.21914
"Mike Stanton"	0.212758
"Sterling Hitchcock"	0.210764
"Tom Glavine"	0.208217
"Denny Neagle"	0.201049
"Graeme Lloyd"	0.195015
"Jason Grimsley"	0.193164
"Kenny Rogers"	0.192343
"Bartolo Colon"	0.191109
"Pat Hentgen"	0.185838
"Dave Burba"	0.182953
"Charles Nagy"	0.179287
"Al Leiter"	0.178948
"Greg Maddux"	0.174388
"Kevin Millwood"	0.174339
"Eric Milton"	0.173614
"Shawn Estes"	0.171432
"John Smoltz"	0.171053
"Pedro Martinez"	0.171016
"Mike Hampton"	0.170281
"Andy Ashby"	0.169645
"Chuck Finley"	0.169052
"Jeff Nelson"	0.167691
"Bernie Williams"	0.164508
"Paul O'Neill"	0.164242
"Terry Mulholland"	0.163742
"Justin Thompson"	0.160525
"Jeff Fassero"	0.159896
"Dwight Gooden"	0.159352
"Jaret Wright"	0.159086
"Kevin Brown"	0.158316
"Gil Heredia"	0.157916
"Randy Johnson"	0.156633
"Rick Reed"	0.155823
"Brian Anderson"	0.154963
"Allen Watson"	0.153934
"Curt Schilling"	0.153608
"Kirk Rueter"	0.153527
"Masato Yoshii"	0.153311
"Bret Saberhagen"	0.152227
"Darren Oliver"	0.150778
"Scott Karl"	0.149326
"Mike Sirotka"	0.148671
"Steve Avery"	0.147587
"Kent Mercker"	0.147555
"Brian Moehler"	0.14592
"Brad Radke"	0.145446
"Mark Langston"	0.145412
Cone	0.145087
Hernandez	0.144684
"Jorge Posada"	0.14366
"Derek Jeter"	0.143617
Glavine	0.143282
Clemens	0.143041
"Rick Helling"	0.142464
"Scott Brosius"	0.142303
"Chuck Knoblauch"	0.141923
"Carlos Perez"	0.140788
Maddux	0.140238
"Jamie Moyer"	0.139423
"Russ Ortiz"	0.138669
"Darryl Strawberry"	0.138278
"Bruce Chen"	0.137025
"John Halama"	0.136962
"El Duque"	0.136478
"Brian Bohanon"	0.135806
"Brett Tomko"	0.135618
"Chris Carpenter"	0.135231
"Kerry Wood"	0.134496
Irabu	0.134269
"Pete Schourek"	0.134114
"Jim Parque"	0.132976
"Scott Erickson"	0.132465
"Aaron Sele"	0.132416
"Dave Mlicki"	0.132094
"Ramon Martinez"	0.132043
"Steve Parris"	0.131273
"Jason Schmidt"	0.129868
"Rolando Arrojo"	0.129041
"Livan Hernandez"	0.128527
"Woody Williams"	0.128207
"Armando Reynoso"	0.128087
"Hideo Nomo"	0.127889
"Ed Yarnall"	0.127335
"Chan Ho Park"	0.127109
"Ron Villone"	0.127014
"Jesus Sanchez"	0.126372
"Kevin Appier"	0.125938
"Arthur Rhodes"	0.125709
Neagle	0.124438
"BRIAN MEADOWS"	0.123815
"Mike Mussina"	0.123729
"Dustin Hermanson"	0.123193
Wells	0.121982
"Wilson Alvarez"	0.121727
"Omar Daal"	0.121453
"Mark Clark"	0.118389
"Ricky Ledee"	0.117754
"Tino Martinez"	0.117724
"Joey Hamilton"	0.117657
Helling	0.116968
"Bobby Jones"	0.116689
"Omar Olivares"	0.116656
"Steve Trachsel"	0.116108
"Jeff Weaver"	0.115947
"Mike Remlinger"	0.115505
"Esteban Loaiza"	0.115277
"Darryl Kile"	0.115225
"Jon Lieber"	0.114615
"Pete Harnisch"	0.114521
"Chili Davis"	0.11446
"Tom Candiotti"	0.112747
"Doug Davis"	0.112652
"Todd Stottlemyre"	0.112048
"Ken Hill"	0.111646
"Shane Reynolds"	0.111563
"Shane Spencer"	0.111465
"John Burkett"	0.111106
"Odalis Perez"	0.11071
"Javier Vazquez"	0.110506
"Tim Belcher"	0.110386
"Greg Swindell"	0.110362
"Jose Lima"	0.110328
Rusch	0.110229
"Mark Gardner"	0.109399
"Scott Schoeneweis"	0.109349
"Jason Christiansen"	0.108734
"Kevin Tapani"	0.108413
"Francisco Cordova"	0.108385
Mussina	0.108211
"Ken Cloude"	0.107892
"Pedro Astacio"	0.107868
"Orel Hershiser"	0.10711
"Bryce Florie"	0.106076
"Randy Myers"	0.105748
"Pedro Borbon"	0.105595
Harnisch	0.105334
"Steve Sparks"	0.105149
"Carl Pavano"	0.104846
Smoltz	0.104343
Leiter	0.104231
"Mark Guthrie"	0.103809
Hershiser	0.103733
Eldred	0.103445
Benes	0.102609
Millwood	0.102385
"John Snyder"	0.102331
Rueter	0.102141
Mercker	0.101984
"Dennis Cook"	0.101778
Hentgen	0.101453
"Mike Morgan"	0.101326
"Alan Embree"	0.10123
"Mark Portugal"	0.100827
Sele	0.100203
Burkett	0.100127
"Rheal Cormier"	0.0997274
"Darren Dreifort"	0.0997072
Tapani	0.0996846
Kile	0.0996768
"Mark Wohlers"	0.0995556
"Tim Wakefield"	0.099113
"Kent Bottenfield"	0.0990795
"Alex Fernandez"	0.0987973
Bottenfield	0.0987647
"Rich Rodriguez"	0.0987333
"Homer Bush"	0.0987242
Mulholland	0.0978308
"Freddy Garcia"	0.0978087
"Jesse Orosco"	0.0977437
"Paul Byrd"	0.0977338
Valdes	0.0970772
Martinez	0.0968354
Dreifort	0.096319
Hermanson	0.0961692
Mendoza	0.0959304
"Pat Rapp"	0.0953613
"Jamey Wright"	0.0951231
Halama	0.0948005
"Mike Venafro"	0.0945836
"Andy Benes"	0.0945523
"Mike Magnante"	0.0944504
"Tim Hudson"	0.0936385
"Jarrod Washburn"	0.0936304
"Paul Spoljaric"	0.0934847
"Matt Morris"	0.0934607
Burba	0.0934408
D'Amico	0.0931332
Arrojo	0.0930928
"Scott Radinsky"	0.0928192
"Octavio Dotel"	0.0928025
Nomo	0.092387
Daal	0.0917944
))
("Andy Sheets" (desc 2021.08) (sims
"Damian Jackson"	0.250966
"Jeff Huson"	0.223927
"Luis Lopez"	0.21934
"Dave Hollins"	0.216932
"Troy Glaus"	0.215406
"Russ Johnson"	0.20628
"Benji Gil"	0.204866
"Orlando Palmeiro"	0.204566
"Adam Kennedy"	0.197766
"Garret Anderson"	0.193061
"Craig Counsell"	0.190067
"Todd Greene"	0.183528
"Jose Vizcaino"	0.179001
"Alex Cora"	0.178339
"Neifi Perez"	0.177626
"Chris Gomez"	0.176981
"Randy Velarde"	0.176806
"Shawon Dunston"	0.176693
"Kurt Abbott"	0.174593
"Jose Hernandez"	0.17246
"Phil Nevin"	0.170661
"Mark Loretta"	0.169373
"Scott Spiezio"	0.169318
"Bengie Molina"	0.168384
"Pat Meares"	0.168325
"Gary DiSarcina"	0.168239
"Mike Benjamin"	0.165877
"Manny Alexander"	0.165612
"Tim Salmon"	0.164068
"Tony Womack"	0.16295
"CARLOS HERNANDEZ"	0.161486
"Bruce Aven"	0.158626
"Joey Cora"	0.157949
"Ricky Gutierrez"	0.156608
"Mike Caruso"	0.156515
"Luis Sojo"	0.156236
"Kevin Stocker"	0.154895
"Deivi Cruz"	0.154689
"Fernando Vina"	0.153541
"Tony Batista"	0.15304
Sheets	0.149661
"Ray Durham"	0.148758
"Wilton Veras"	0.148591
"Carlos Guillen"	0.147373
"Tim Bogar"	0.147102
"Matt Walbeck"	0.146004
"Warren Morris"	0.145347
"Joe McEwing"	0.144966
"Cecil Fielder"	0.144078
"Jose Valentin"	0.144077
"Mark Grudzielanek"	0.143215
"Luis Castillo"	0.141126
"Enrique Wilson"	0.140213
"Lou Merloni"	0.139045
"Melvin Mora"	0.138586
"Craig Paquette"	0.137621
"Lenny Harris"	0.137391
"Ozzie Guillen"	0.137246
"David Bell"	0.136534
"Mickey Morandini"	0.136431
"Edgar Renteria"	0.135225
"Joe Randa"	0.135003
"Walt Weiss"	0.134812
"Donnie Sadler"	0.134688
"Greg Colbrunn"	0.133928
"Kevin Orie"	0.132545
"Mike Bordick"	0.132316
"Pokey Reese"	0.131031
"Bill Spiers"	0.130959
"Keith Lockhart"	0.129695
"Rafael Furcal"	0.129645
"Juan Castro"	0.129564
"Rey Sanchez"	0.128877
"Kevin Jordan"	0.12843
"Royce Clayton"	0.128126
"Damion Easley"	0.12794
"Clay Bellinger"	0.127488
"Luis Alicea"	0.126294
"Charlie Hayes"	0.126154
"Rey Ordonez"	0.125298
"Otis Nixon"	0.124343
"Ron Gant"	0.12415
"Omar Vizquel"	0.123973
"Cristian Guzman"	0.123967
"Wilton Guerrero"	0.123749
"Matt Franco"	0.12174
"Dave Martinez"	0.12126
"Tony Phillips"	0.120735
"Bobby Abreu"	0.120555
"Marvin Benard"	0.119313
"Kevin Elster"	0.11916
"Andy Fox"	0.118691
"Rich Aurilia"	0.118224
Glaus	0.118062
"Mike Lansing"	0.117634
"Eric Owens"	0.117076
"Sean Berry"	0.11688
"Quinton McCracken"	0.116687
"Raul Ibanez"	0.116661
"Terrence Long"	0.116468
"Jose Offerman"	0.116207
"Alfonso Soriano"	0.112982
"Jay Bell"	0.112401
"Dave Hansen"	0.112231
"Trenidad Hubbard"	0.112102
"Pat Burrell"	0.111263
"Corey Koskie"	0.11106
"Dante Bichette"	0.11094
"Paul Konerko"	0.11069
"Edgar Martinez"	0.109973
"Mark McLemore"	0.109423
"Gregg Jefferies"	0.10915
"Willie Greene"	0.108917
"Al Martin"	0.108793
"Matt Luke"	0.108746
"Wil Cordero"	0.108724
"Miguel Tejada"	0.108401
"Edgardo Alfonzo"	0.107805
"Derrek Lee"	0.106571
"Jason McDonald"	0.106222
"Ron Coomer"	0.10619
"Jeff Frye"	0.106098
"Rich Becker"	0.106046
"Todd Walker"	0.106018
"Alex Gonzalez"	0.105995
"Bobby Smith"	0.105923
"Brian Daubach"	0.105329
"John Valentin"	0.105063
"Tom Goodwin"	0.103608
"Tony Eusebio"	0.103343
"Frank Catalanotto"	0.102828
"John Jaha"	0.102699
"Karim Garcia"	0.102247
"Shannon Stewart"	0.102204
"Jeff Cirillo"	0.101968
"Bill Mueller"	0.101271
Renteria	0.100798
"F.P Santangelo"	0.100791
"Jeff Kent"	0.100662
Cirillo	0.100626
"Quilvio Veras"	0.100498
"Delino DeShields"	0.100232
"Daryle Ward"	0.100124
"Wally Joyner"	0.0999821
Karros	0.0999245
"Troy O'Leary"	0.0999123
"Richard Hidalgo"	0.0996888
"Homer Bush"	0.0995129
"Carlos Beltran"	0.0993624
Giambi	0.0993377
"Reggie Sanders"	0.0988751
"David Ortiz"	0.0987234
"Jorge Fabregas"	0.0986957
"Tony Graffanino"	0.0984587
"Herbert Perry"	0.0984151
"Matt Stairs"	0.0981611
"Brady Anderson"	0.0978758
"Gerald Williams"	0.0973661
DiSarcina	0.0966608
Lankford	0.0965578
"Damian Miller"	0.0964182
"Gary Gaetti"	0.0963849
Cora	0.0963164
"Jim Edmonds"	0.0962375
"Damon Buford"	0.0956067
"Doug Glanville"	0.0956066
"Barry Larkin"	0.0950968
"Darin Erstad"	0.0945645
"Craig Biggio"	0.0943651
"Eric Young"	0.0942852
"Randall Simon"	0.0941333
"Geoff Jenkins"	0.0936595
Ordonez	0.0932872
"Lance Johnson"	0.0929283
"Roger Cedeno"	0.0928879
"Brian Hunter"	0.0925039
"Shane Andrews"	0.0924537
"Mike Lamb"	0.0917706
"Greg McMichael"	0.0915131
"Rico Brogna"	0.091512
"Danny Bautista"	0.0913281
"Bret Boone"	0.0909216
Alfonzo	0.0904802
"Darren Lewis"	0.0901728
"Mo Vaughn"	0.0893779
"Russ Davis"	0.0892478
"Jason Varitek"	0.0890833
"Lee Stevens"	0.0890176
"Jose Guillen"	0.0884474
"Alex Rodriguez"	0.0877221
Abreu	0.0874739
"Todd Helton"	0.0873435
"Ray Lankford"	0.0873031
McGriff	0.087203
"Matt Lawton"	0.0869395
"Bubba Trammell"	0.086865
"Ryan Klesko"	0.0866264
"Chad Kreuter"	0.0856561
"Eric Karros"	0.0855395
"Johnny Damon"	0.0854496
))
("Andy Warhol" (desc 6157.67) (sims
"Robert Rauschenberg"	0.220938
"Jackson Pollock"	0.182783
"Vincent van Gogh"	0.175797
Warhol	0.173369
"Jasper Johns"	0.162187
"Roy Lichtenstein"	0.152478
"Salvador Dali"	0.133066
Gogh	0.128925
"Norman Rockwell"	0.122297
Picasso	0.108897
Kooning	0.10851
Rembrandt	0.107304
Renoir	0.098897
"Diego Rivera"	0.0946191
"Georgia O'Keeffe"	0.0928474
"Pablo Picasso"	0.0924564
O'Keeffe	0.0896844
"van Gogh"	0.0873211
"Chris Ofili"	0.0858871
Ofili	0.0852858
"Claude Monet"	0.0832753
"Francis Bacon"	0.0813892
Matisse	0.0777102
"Leonardo da Vinci"	0.0776669
Delacroix	0.0757965
Rothko	0.0740647
Vermeer	0.0708857
"John Cage"	0.0698741
"James Dean"	0.0680648
"William Faulkner"	0.0674461
Ingres	0.0664307
Heade	0.0660818
Monet	0.0659436
Velazquez	0.0619875
"Elvis Presley"	0.0601255
Sargent	0.0582755
Cezanne	0.0576024
Rodin	0.0574127
Kinkade	0.0572627
"Blue Dog"	0.0554625
painter	0.0549226
"John Lennon"	0.0547455
"Judy Garland"	0.0546494
Manet	0.0545791
Dali	0.0543978
Bonnard	0.054307
"Bruce Lee"	0.0531946
"John Wayne"	0.0531132
Degas	0.0530184
Rauschenberg	0.0527778
"Langston Hughes"	0.0519879
Mao	0.0511662
"Tennessee Williams"	0.0510854
"Amelia Earhart"	0.0506111
Rockwell	0.0504112
"Mark Twain"	0.0492794
Calder	0.0490788
Rubens	0.04873
Titian	0.0486361
"E.B White"	0.0483319
"Kurt Cobain"	0.0480193
"Barbra Streisand"	0.0477527
"Alfred Hitchcock"	0.0476969
Marx	0.0475879
Bellini	0.0474964
Caravaggio	0.047477
"Indiana Jones"	0.0473393
Elvis	0.0469912
"Steven Spielberg"	0.046506
"Jane Fonda"	0.0464981
Chagall	0.0463752
"old master"	0.0463141
Neel	0.0447334
"Oscar Wilde"	0.0446401
"Jacqueline Kennedy"	0.0440791
Blondie	0.0439603
"Janis Joplin"	0.0437745
gouache	0.0437308
"Gore Vidal"	0.0437099
Gachet	0.04367
Bjork	0.0434823
"Marlon Brando"	0.0433666
"Iggy Pop"	0.0431427
"Frank Capra"	0.0431423
"James Joyce"	0.0429645
Wyeth	0.0429215
"Abraham Lincoln"	0.0428688
"Albert Einstein"	0.04251
CHE	0.0423705
"Dora Maar"	0.0423153
Pollock	0.0422596
"Brigitte Bardot"	0.0419895
"Sigmund Freud"	0.0419851
Edo	0.0415322
first-grader	0.0414945
surrealist	0.0413873
"Martha Graham"	0.0413352
"David Smith"	0.0413186
"Bob Dylan"	0.0411332
"P.T Barnum"	0.0411293
"Jim Morrison"	0.0409779
Trollope	0.040976
"Quentin Tarantino"	0.0408096
Selena	0.0408084
"Jacqueline Kennedy Onassis"	0.0407127
"Woody Allen"	0.0405313
Bergman	0.0401657
))
("Andy Williams" (desc 1071) (sims
"Brian McBride"	0.130208
"Clint Mathis"	0.121324
"Tom Jones"	0.114345
"Dean Martin"	0.112059
"Mauricio Cienfuegos"	0.103864
"Ben Olsen"	0.0937985
"Cobi Jones"	0.0897028
"Claudio Reyna"	0.0848114
"Dejan Stankovic"	0.0826934
"Mauricio Ramos"	0.0798284
"Steve McManaman"	0.07916
Juninho	0.0785961
"Luigi Di Biagio"	0.0773384
"Eddie Lewis"	0.0773228
"Robert Prosinecki"	0.0772121
"Dejan Savicevic"	0.0741089
"Marco Etcheverry"	0.0739544
"R. Kelly"	0.0737612
"Thomas Haessler"	0.0730155
"Carly Simon"	0.0730051
"Tony Bennett"	0.0721912
"Stern John"	0.0715521
"Phillip Cocu"	0.0710901
"Leonel Alvarez"	0.0705626
"Hidetoshi Nakata"	0.0700963
"Gheorghe Hagi"	0.0698916
"John Collins"	0.0696972
"Edgar Davids"	0.0695442
"Frankie Hejduk"	0.0691845
"Luis Figo"	0.0689849
"Paul Merson"	0.0682493
Kamensky	0.0682223
"Ante Razov"	0.0674353
"Ronald de Boer"	0.0662377
Sissi	0.0659754
"Michael Laudrup"	0.0658515
"Billie Holiday"	0.065604
"Frank Sinatra"	0.0650145
"Roy Keane"	0.0649302
"Andrea Bocelli"	0.0641599
"Carlos Valderrama"	0.0628781
"Cesar Sampaio"	0.0626223
"Tab Ramos"	0.0622372
"Diego Simeone"	0.0619177
"Andreas Moeller"	0.0615172
"Zvonimir Boban"	0.0605253
"Julie Foudy"	0.0598096
"Robert Jarni"	0.0597023
"Clarence Seedorf"	0.0595569
"Mario Stanic"	0.0592537
"Ella Fitzgerald"	0.0589582
"Kristine Lilly"	0.0582098
hermosillo	0.0575646
"Joe-Max Moore"	0.0574573
"Roy Lassiter"	0.0573416
"Harry Kewell"	0.0561816
"Paul Scholes"	0.0561494
Hollins	0.055981
Jair	0.0554269
"Fan Zhiyi"	0.0551438
"Christian Karembeu"	0.0544773
"John Harkes"	0.0540581
"Robert Pires"	0.0531558
"Nwankwo Kanu"	0.0530757
"Paul Ince"	0.0529057
"Larry Mize"	0.0525357
Hagi	0.0523621
Redd	0.052066
"George Burns"	0.0518474
"Emmanuel Petit"	0.0503298
"Louis Armstrong"	0.0502612
"Mike Burns"	0.0500767
Pu	0.0498373
"Elvis Costello"	0.049793
"Fernando Hierro"	0.0495616
Bocelli	0.0493112
"Steve Allen"	0.0492951
"Patrick Vieira"	0.0491774
"Macy Gray"	0.0490989
"Paul Gascoigne"	0.0490182
"Dino Baggio"	0.0489976
Bergkamp	0.0489059
"Jack Benny"	0.0487762
"Ariel Ortega"	0.0487213
"Eric Clapton"	0.0480978
"Christophe Dugarry"	0.048007
D'Angelo	0.0474313
Beasley	0.0473041
"Paul Robeson"	0.0465337
Heppner	0.0458877
"Joni Mitchell"	0.0457449
"Busta Rhymes"	0.0454117
"World News Tonight"	0.0453184
"Randy Newman"	0.0450326
Sampaio	0.0447003
"Renee Fleming"	0.0444319
"Grant Long"	0.044382
"Greg Vanney"	0.0440542
"Youri Djorkaeff"	0.0439794
"Tiffeny Milbrett"	0.0439122
Sundin	0.043732
"Dan Petrescu"	0.0433974
"Didier Deschamps"	0.0431801
"Phil Collins"	0.0431266
Figgs	0.0429011
"Predrag Mijatovic"	0.0426501
"Reba McEntire"	0.0425329
"Benny Goodman"	0.0424254
"Ryan Giggs"	0.0423684
Djorkaeff	0.0422916
"Chris Klein"	0.0422365
"Celine Dion"	0.042155
Yoakam	0.0417451
"Jimmy Buffett"	0.0416876
"Bing Crosby"	0.0415237
"Wyclef Jean"	0.0414961
"Geoff Sanderson"	0.041373
Titov	0.0413345
"Tina Turner"	0.0410738
Gervin	0.041071
"Eddie Pope"	0.0409568
Hlavac	0.0408348
"Alexei Kovalev"	0.0407221
Mcbride	0.0405531
"Pavol Demitra"	0.0404167
"four lines"	0.0403032
"Adam Oates"	0.0401973
Dawkins	0.0401155
))
(anecdote (desc 24094.5) (sims
story	0.114837
tidbit	0.113285
vignette	0.110488
tale	0.107895
joke	0.107474
observation	0.105582
asides	0.10287
gossip	0.0990905
detail	0.097843
factoids	0.0971897
insight	0.096353
reminiscence	0.0960983
commentary	0.0926498
one-liner	0.092446
essay	0.0917904
trivia	0.0884263
recollection	0.086975
description	0.0839877
photograph	0.0838436
sketch	0.0834556
quip	0.0828188
quotation	0.0821737
poem	0.0812537
information	0.0802298
artifact	0.0779924
humor	0.0776678
illustration	0.0774838
narrative	0.0767902
testimonial	0.0763877
picture	0.0744433
recipe	0.0744152
photo	0.0739619
portrait	0.0737879
memento	0.0727991
excerpt	0.0722927
wit	0.0719882
musings	0.0718256
comment	0.0717689
reference	0.0714634
image	0.0711107
article	0.0707795
subplot	0.0706908
advice	0.0703228
memoir	0.0699171
phrase	0.0697698
"sight gag"	0.0688366
cameo	0.068545
statistic	0.0683468
fact	0.0680765
lesson	0.0679263
digression	0.0675085
innuendo	0.067436
data	0.0673655
fable	0.0671294
myth	0.0671258
rumor	0.0670921
fantasy	0.0664515
snapshot	0.0664422
memory	0.066279
suggestion	0.0650185
"short story"	0.0646302
tip	0.0642901
example	0.0641976
poetry	0.0640954
snippet	0.0639631
Song	0.0638058
cartoon	0.0638052
account	0.0637852
drama	0.0636853
footage	0.0636361
"tall tale"	0.0635377
caveat	0.0635347
irony	0.0631593
quirk	0.0627725
revelation	0.0627333
testimony	0.0626148
memorabilia	0.0623896
documentary	0.0620008
drawing	0.0618419
biography	0.0618148
material	0.0616375
clip	0.0612377
imagery	0.0612204
character	0.0611734
prose	0.0610697
headline	0.0610437
"news story"	0.0609766
scene	0.0609509
letter	0.0607912
yarn	0.0607334
opinion	0.0606956
emotion	0.0606634
expletive	0.0605749
map	0.0604079
in-jokes	0.0602523
novel	0.0602467
analysis	0.0600524
oddity	0.0597536
outtakes	0.0595233
hearsay	0.0595169
personality	0.0592838
comedy	0.0591618
verse	0.058608
document	0.0585369
stuff	0.0584612
correspondence	0.0584086
profile	0.0583561
gag	0.0583474
cliche	0.0580822
horoscope	0.0579993
twist	0.0579006
rant	0.057814
conversation	0.0576164
reminder	0.0575238
wisecrack	0.0575218
hint	0.0574892
adventure	0.0573744
info	0.0572329
moment	0.0571986
parable	0.0569233
profanity	0.0568466
"sense of humor"	0.0568361
theory	0.0568315
characterization	0.056819
pun	0.0567352
analogy	0.0567207
"historical document"	0.0566598
platitude	0.0566583
thought	0.056469
gimmick	0.056417
"newspaper article"	0.0564121
evidence	0.0563213
"film clip"	0.0561562
allusion	0.0561003
wisdom	0.055928
critique	0.0558105
gesture	0.0557178
sidelight	0.0556489
smile	0.0555743
feeling	0.0555049
charm	0.0553205
interpretation	0.0552796
theme	0.0552672
folklore	0.0551421
speculation	0.055107
graphics	0.0550886
explanation	0.0550454
remark	0.0550218
nuance	0.0549581
news	0.0546196
glimpse	0.0545383
glossary	0.0544664
perspective	0.0543312
episode	0.0542931
"sound bite"	0.0542564
monologue	0.0541532
gaffe	0.0540811
prediction	0.0540574
knowledge	0.0540161
"magazine article"	0.0539871
depiction	0.0539407
argument	0.0538818
riff	0.0537545
footnote	0.0537307
stereotype	0.0536585
flashback	0.053649
bit	0.0535991
chatter	0.0535766
hoax	0.0535094
message	0.0534377
feedback	0.0534267
sidebars	0.0533439
impression	0.0533249
trick	0.0532379
lore	0.0532264
eccentric	0.053158
writing	0.0529129
complaint	0.0525389
reflection	0.0524372
clue	0.0523714
lyric	0.0521297
banter	0.0517487
juxtaposition	0.0517194
sequence	0.0515697
mystery	0.0515659
rhetoric	0.051509
narration	0.0514917
proverb	0.05146
distraction	0.0514093
storyline	0.0513803
text	0.0513348
"piece of work"	0.0512834
skit	0.0511635
fiction	0.0511209
chart	0.0510748
disclaimer	0.0510382
relic	0.0508693
scenario	0.0507998
laughter	0.0507753
passion	0.0506231
))
(Anees (desc 2300.62) (sims
"High Yield"	0.285761
"Answer Lively"	0.277107
"Desert Hero"	0.217025
"Cash Run"	0.196628
"War Chant"	0.171071
"Lemon Drop Kid"	0.166527
"Favorite Trick"	0.16238
"River Keen"	0.156223
"Worldly Manner"	0.149473
"Forest Camp"	0.149362
Trippi	0.138874
Behrens	0.133725
"Beautiful Pleasure"	0.133546
Adonis	0.130132
"Cat Thief"	0.125653
Arazi	0.125576
commendable	0.125264
"Fusaichi Pegasus"	0.12507
Valhol	0.122831
"Banshee Breeze"	0.122528
Menifee	0.120023
"Red Bullet"	0.11965
"Koji Ito"	0.118547
charismatic	0.118187
Malek	0.118118
"Eddie Cheever"	0.114189
"Prime Timber"	0.113065
Daylami	0.110311
Wondertross	0.110244
Surfside	0.109641
"Ecton Park"	0.109105
Artax	0.109029
"Puerto Madero"	0.106467
vicar	0.106324
"Stephen Got Even"	0.101843
Silverbulletday	0.100503
"Victory Gallop"	0.0999821
Chilukki	0.0992054
"Silver Charm"	0.0988478
"Running Stag"	0.0975657
"Doug Walker"	0.096219
"Alex Zanardi"	0.0928321
"Regina Jacobs"	0.0926862
Budroyale	0.0918777
"Seattle Slew"	0.0914599
"Real Quiet"	0.0908582
Devers	0.0907344
"Free House"	0.090061
"Old Trieste"	0.0898197
"Skip Away"	0.0883391
"Kenny Brack"	0.0882521
"Moses Tanui"	0.0874131
"Miguel Indurain"	0.0854914
"Excellent Meeting"	0.0847616
"Svetlana Masterkova"	0.0840482
"Christine Arron"	0.0832835
"Kimberlite Pipe"	0.0826331
"Dong Jiong"	0.0799663
"Allen Johnson"	0.0796891
"Xia Xuanze"	0.0792438
"A.P Indy"	0.0784418
"Cup Juvenile"	0.0777706
"Todd Eldredge"	0.0773815
"Linford Christie"	0.0772322
"Deon Hemmings"	0.0763281
"Wang Junxia"	0.0755261
"straight man"	0.0751919
"Touch Gold"	0.0751027
"Sergi Bruguera"	0.0746383
"Awesome Again"	0.0738028
filly	0.0737223
"Arie Luyendyk"	0.0736427
"Le Jingyi"	0.0733639
"Winning Colors"	0.0733573
"Li Xuemei"	0.0733082
"Earnhardt Jr."	0.07294
"Katja Seizinger"	0.0729354
"Lasse Kjus"	0.0726262
"Paul Tergat"	0.072488
"Marie-Jose Perec"	0.0724013
"HANK KUEHNE"	0.0719254
"Cathy Freeman"	0.071832
"Bobby Rahal"	0.0717765
"Bjarne Riis"	0.0714061
"Yang Yang"	0.0707788
"Gail Devers"	0.0707302
gelding	0.0699766
Dosedel	0.0698943
"Fernando Vargas"	0.0685441
"Tom Kite"	0.0684973
"Wilson Kipketer"	0.0681786
"Derrick Adkins"	0.0681025
"Thunder Gulch"	0.0676162
"Irina Privalova"	0.0675827
"Laurent Brochard"	0.0671686
"Johnny Tapia"	0.0669139
"Ron Dayne"	0.0665286
"Elvis Stojko"	0.0664876
Bruguera	0.0662878
"Chris Boardman"	0.0662356
"Fatuma Roba"	0.0659953
"Zoran Primorac"	0.0658011
Affirmed	0.065799
"Maurice Greene"	0.0657298
Wiley	0.0652242
"Tommi Makinen"	0.0651071
"Dale Earnhardt Jr."	0.0650552
Utes	0.0649149
"Steve Elkington"	0.0647819
"Guo Jingjing"	0.0646313
"Chris Antley"	0.0645084
"Iva Majoli"	0.0642689
Longo	0.0641846
"Juha Kankkunen"	0.0641292
Kipketer	0.0640757
"Wang Yifu"	0.0639027
Sainz	0.0637121
"Donovan Bailey"	0.063654
"Jubilo Iwata"	0.0635767
"Chen Yan"	0.0633048
"John McEnroe"	0.0631393
"Hugh Hefner"	0.0628664
"Gong Zhichao"	0.0628552
"Jacques Villeneuve"	0.0628014
"Sonia O'Sullivan"	0.0625324
"Lee Janzen"	0.0623472
"Zvonimir Boban"	0.0622816
"Al Unser Jr."	0.0619607
"Irina Slutskaya"	0.061752
"Dan O'Brien"	0.0616666
"Hilde Gerg"	0.0615773
"Gabriela Szabo"	0.0615251
Eliza	0.0614899
Musashimaru	0.0614853
"Maria Mutola"	0.0613599
"Isolde Kostner"	0.0613047
"Martina Ertl"	0.0612217
Ferdinand	0.0611884
"Darrell Waltrip"	0.0609802
"Blaine Wilson"	0.0609193
"Jansher Khan"	0.0607305
Sautin	0.0603135
"Marco Pantani"	0.0602236
"Buster Douglas"	0.0601551
Shuwei	0.060152
"Oksana Kazakova"	0.0600868
"Patrick Rafter"	0.0596248
"C.J Hunter"	0.0593013
"Michael Johnson"	0.0591809
"Fu Mingxia"	0.0590271
"Johan Museeuw"	0.0589331
"Greg Ray"	0.0587352
Kafelnikov	0.0585732
"Ye Zhaoying"	0.0585336
"Charles Austin"	0.0583448
"Hale Irwin"	0.0583247
"Ato Boldon"	0.0582884
"Ji Xinpeng"	0.0582229
Heyns	0.0580795
"Camilla Martin"	0.0580443
Streetcar	0.0579923
"Deborah Compagnoni"	0.0579587
"Michael Andretti"	0.057893
"Deng Yaping"	0.0578605
"Bruny Surin"	0.057157
"Tegla Loroupe"	0.0570117
"A.J Foyt"	0.0569599
"Liu Guoliang"	0.0567055
"Roy Jones Jr."	0.0565839
"Ben Crenshaw"	0.0565498
"Jeff King"	0.0564303
"Jorgen Persson"	0.0563781
claimer	0.056349
"Peter Rasmussen"	0.0561892
"Juan Montoya"	0.0561834
"Houston Comets"	0.0561294
"Maria Butyrskaya"	0.0561121
"Buddy Lazier"	0.0560017
"Michael Von Gruenigen"	0.0558836
"Nick Zito"	0.0558552
"Ivan Ivankov"	0.0557467
thoroughbred	0.0557081
Hentgen	0.055594
Taufik	0.0555932
"Picabo Street"	0.0555474
"Corey Pavin"	0.0555198
"Pernilla Wiberg"	0.0554448
"Huang Xu"	0.0554064
"Iwan Thomas"	0.055268
mare	0.0549038
"Hicham El Guerrouj"	0.0548684
aptitude	0.0547836
"Jeff Maggert"	0.054742
"Frank Nobilo"	0.0546646
"Kong Linghui"	0.0545792
"Bill Elliott"	0.0545531
"Arantxa Sanchez Vicario"	0.0541199
"Erik Zabel"	0.0539981
Luyendyk	0.0539575
"Lenny Krayzelburg"	0.0539214
))
(Anelka (desc 1218.17) (sims
"Nicolas Anelka"	0.142935
Asprilla	0.125682
"Predrag Mijatovic"	0.123089
Bullard	0.122915
"Ian Wright"	0.122262
Gorter	0.12071
Kluivert	0.120614
Reichel	0.118806
"Eric Cantona"	0.113726
Duchesne	0.112548
"Robbie Fowler"	0.110346
"Christophe Dugarry"	0.108716
"David Trezeguet"	0.107177
Primeau	0.106601
"Hao Haidong"	0.104646
"Roy Keane"	0.103738
"Teddy Sheringham"	0.103528
"Raul Gonzalez"	0.103117
Collymore	0.102797
Vieri	0.101561
Meares	0.100475
"Davor Suker"	0.100227
Laudrup	0.100102
"Di Canio"	0.0988984
"Tore Andre Flo"	0.0988389
"Del Piero"	0.0986202
Audette	0.0984799
Suker	0.0969391
Lankford	0.0958004
"Ole Gunnar Solskjaer"	0.0938418
Juninho	0.0935119
Laettner	0.0926024
"Stan Collymore"	0.0909839
Turgeon	0.0907398
"Carlos Hermosillo"	0.0907339
Edmundo	0.0887442
Ince	0.088715
"Hristo Stoichkov"	0.0883182
Yashin	0.0878366
Abdur-Rahim	0.0876598
Daigle	0.087616
"Dwight Yorke"	0.0869927
"Andy Cole"	0.0865044
Batistuta	0.0856766
"Gheorghe Hagi"	0.0855555
Alicea	0.0855124
Leetch	0.0853433
"Russell Peeler"	0.0853142
"Sun Wen"	0.084777
Rivaldo	0.0842967
"Juergen Klinsmann"	0.0837874
Solis	0.0836767
"Hernan Crespo"	0.0831026
Calloway	0.0830481
DIMON	0.0830289
Yzerman	0.0823573
Bergkamp	0.0822102
Enis	0.0821601
Herta	0.0821145
Grbac	0.0820279
Mcbride	0.0820269
"Claudio Lopez"	0.0820082
McGill	0.0818305
"Ulf Kirsten"	0.0815926
Dodik	0.0815556
"Fabrizio Ravanelli"	0.0812188
Sampaio	0.0811375
DiCarlo	0.0809303
"Glenn Hoddle"	0.0807258
Verney	0.0806699
Pippig	0.0806524
"Thomson Multimedia"	0.0802467
Jayasinghe	0.0801444
Harris-Lewis	0.0800826
Tverdovsky	0.0799858
Dilfer	0.0797404
Cienfuegos	0.0797257
Shayler	0.0794877
Djorkaeff	0.0787772
Perec	0.0785856
"Brian Laudrup"	0.0783148
"Alen Boksic"	0.0783139
"Marcelo Salas"	0.0782084
Sakic	0.0781637
Romario	0.0781354
Toomer	0.0779459
"Filippo Inzaghi"	0.0779099
Weah	0.0776402
Wynalda	0.0774981
"Oliver Bierhoff"	0.0771963
Dobbs	0.0769965
Keane	0.0767901
Alcorn	0.0767862
"Raul Diaz Arce"	0.0767668
Alfonso	0.076342
"Phillip Cocu"	0.0761459
Baggio	0.0760353
Andreychuk	0.0760257
Bebeto	0.0758495
"Patrick Kluivert"	0.0757927
Marinovich	0.0756898
Baerga	0.0756716
Kodikian	0.0754501
Maradona	0.0754215
Kesri	0.0754145
Bierhoff	0.0749854
Roussel	0.0746863
McCray	0.0745367
Gugliotta	0.0744996
"Faustino Asprilla"	0.0743654
Gilead	0.0743513
Shatner	0.0742323
Tua	0.0737732
Guei	0.0736951
Muoneke	0.0735736
Yadav	0.073295
Zamorano	0.0731349
Titov	0.0731018
hermosillo	0.0729903
Valenzuela	0.0729729
Daft	0.0727875
Niedermayer	0.072639
Venables	0.0721714
"Roy Lassiter"	0.072115
"Cindy Parlow"	0.0718756
Martorano	0.0717095
"Youri Djorkaeff"	0.0715925
"Steve McManaman"	0.071408
leeson	0.0713075
Mikhailov	0.071059
"Gianfranco Zola"	0.0705675
Lileikis	0.0698276
Knapp	0.0695179
Zacarias	0.0693814
Divac	0.0693339
Nesby	0.0691388
Jenoff	0.0690402
"Eric Wynalda"	0.0690388
"Dennis Bergkamp"	0.0690331
Limon	0.0689566
"Alessandro Del Piero"	0.0687333
Olowokandi	0.0683423
Lieberthal	0.0682123
Mattysse	0.0682071
Bragg	0.0678032
"George Weah"	0.0677996
"Luis Hernandez"	0.0677557
"Mario Stanic"	0.0676117
Vidro	0.0676074
"Ariel Ortega"	0.0674786
Ceballos	0.0674269
Cayugas	0.0673589
Lafleur	0.0672419
Bure	0.0672027
"Clarence Seedorf"	0.0671198
Verbeek	0.0670052
McSorley	0.0668004
Owen	0.0667849
Ronaldo	0.0667139
"Ante Razov"	0.0663567
Petit	0.066323
Masur	0.0662865
Palffy	0.0662734
Raul	0.0662571
Mokhehle	0.0662011
"Ali Daei"	0.0661773
"Christian Vieri"	0.0661754
"Joe-Max Moore"	0.0661452
Welton	0.0661349
Kagalovsky	0.0661336
Gascoigne	0.0660321
Tkachuk	0.0660168
Ciampi	0.0660036
"Maturino Resendiz"	0.0659795
Rolen	0.065915
Recchi	0.0658644
"Michelle Akers"	0.0657541
Kealy	0.0656254
LeFave	0.0654291
Evernham	0.0653943
"Peter Bondra"	0.0653823
"Paolo Di Canio"	0.0649545
Berard	0.0649378
Skuratov	0.0649095
Chmura	0.0648466
"Pierluigi Casiraghi"	0.0648385
Matasareanu	0.0648017
LeClair	0.0647949
Gullit	0.0647673
Cirillo	0.0646073
Baucus	0.0645932
Etcheverry	0.0645338
Lassiter	0.0644437
Longley	0.0644211
"Fernando Hierro"	0.0643679
"Nwankwo Kanu"	0.0643324
Ribbeck	0.0641055
WARRICK	0.064034
"Adrian Ilie"	0.0639047
Murr	0.0638152
))
(anemia (desc 8852.09) (sims
"cystic fibrosis"	0.283536
hypertension	0.237042
Osteoporosis	0.236229
epilepsy	0.235405
"Parkinson's disease"	0.22371
asthma	0.219719
"heart disease"	0.216698
diabetes	0.214347
diarrhea	0.213165
"high blood pressure"	0.212752
hepatitis	0.212362
jaundice	0.204397
arthritis	0.204002
hemophilia	0.201322
"multiple sclerosis"	0.198089
leukemia	0.19799
"liver disease"	0.196099
"rheumatoid arthritis"	0.190434
Parkinson's	0.188887
"muscular dystrophy"	0.187477
dementia	0.187226
glaucoma	0.186231
pneumonia	0.182135
disorder	0.181547
insomnia	0.178424
ulcer	0.177008
"cardiovascular disease"	0.175726
ailment	0.17542
bronchitis	0.174091
tuberculosis	0.173886
Obesity	0.172074
Alzheimer	0.170128
malnutrition	0.167898
dehydration	0.166463
migraine	0.163523
autism	0.162578
malaria	0.161946
"genetic disease"	0.16016
"eye disease"	0.160112
schizophrenia	0.159253
syndrome	0.157929
infection	0.157773
cancer	0.157597
disease	0.157341
allergy	0.156506
angina	0.156419
Alcoholism	0.155778
"skin disease"	0.155344
"lung cancer"	0.154254
osteoarthritis	0.153493
"memory loss"	0.153205
"congestive heart failure"	0.152668
"heart condition"	0.15262
"mental disorder"	0.152438
"skin cancer"	0.151308
"respiratory disease"	0.150731
"heart failure"	0.150364
"hepatitis B"	0.150238
"kidney disease"	0.147992
deficiency	0.147347
emphysema	0.14662
"food poisoning"	0.146244
abnormality	0.145807
lupus	0.145747
retardation	0.145688
gonorrhea	0.145655
lymphoma	0.144384
cirrhosis	0.144376
Meningitis	0.14394
"back pain"	0.142402
"cerebral palsy"	0.141677
infertility	0.140177
narcolepsy	0.139363
diarrhoea	0.139172
influenza	0.137521
"colon cancer"	0.137388
psoriasis	0.136727
"infectious disease"	0.134657
nausea	0.134525
melanoma	0.133769
syphilis	0.132639
illness	0.132502
gastroenteritis	0.132213
constipation	0.132189
impotence	0.131501
Depression	0.130801
ADHD	0.130604
blindness	0.129362
"manic depression"	0.128783
defect	0.128525
Dysentery	0.127626
flu	0.126898
herpes	0.12674
heartburn	0.125492
nearsightedness	0.125362
bifida	0.125103
encephalitis	0.12472
"bipolar disorder"	0.124344
"blood clot"	0.124015
fever	0.122949
"Lyme disease"	0.122759
fibrillation	0.122606
"sore throat"	0.122008
cataract	0.121914
inflammation	0.121499
leprosy	0.121331
"common cold"	0.118358
"chest pain"	0.117382
HIV	0.117302
Tb	0.117253
cholera	0.117205
frostbite	0.117119
"heart attack"	0.116757
hemorrhage	0.116391
atherosclerosis	0.115148
als	0.112501
"dengue fever"	0.112496
apnea	0.112372
"venereal disease"	0.112316
"mental illness"	0.112261
dysfunction	0.11195
fatigue	0.111855
deformity	0.111411
"neurological disorder"	0.111272
incontinence	0.111025
typhoid	0.110967
paralysis	0.11072
acne	0.110213
"skin rash"	0.110014
measles	0.108956
symptom	0.10831
arrhythmia	0.107784
"sexually transmitted disease"	0.106941
dizziness	0.106644
disability	0.106497
polio	0.105843
impairment	0.105732
"anxiety disorder"	0.104934
myeloma	0.10473
"health problem"	0.104316
tumor	0.104211
indigestion	0.102269
miscarriage	0.1015
deafness	0.101172
hypothermia	0.100917
"drug addiction"	0.100564
"tooth decay"	0.100267
CJD	0.10026
headache	0.100218
"alcohol abuse"	0.0994116
"brain tumor"	0.0988392
cholesterol	0.098652
"lead poisoning"	0.0984877
"upset stomach"	0.0984628
complication	0.0979486
sclerosis	0.0976221
sickness	0.0971569
"neurological disease"	0.0970234
reflux	0.0965543
HIV/AIDS	0.0961734
cramp	0.095612
relapse	0.0953482
poisoning	0.0950005
vomiting	0.0945496
Psychosis	0.0938624
baldness	0.0936158
starvation	0.093421
malady	0.0932634
virus	0.0931357
"asthma attack"	0.0929321
malignancy	0.0919329
"blood pressure"	0.0907515
Exhaustion	0.090713
trachoma	0.089209
"AIDS virus"	0.0885302
Addiction	0.0883279
mutation	0.088142
carcinoma	0.0880102
mortality	0.0879651
"communicable disease"	0.0879352
"malignant tumor"	0.0875592
tetanus	0.0871788
"acquired immune deficiency syndrome"	0.0860371
stroke	0.0859197
malformation	0.0853308
STDs	0.084938
myopia	0.0847939
stomachache	0.0846586
gangrene	0.0845622
dyslexia	0.0844816
hunger	0.0841612
"hot flash"	0.083854
"writer's block"	0.0838522
Dengue	0.0838236
hyperactivity	0.083707
"substance abuse"	0.083104
SIDS	0.0829837
heartbeat	0.0802138
tiredness	0.0801904
"heat exhaustion"	0.0797481
))
(anemone (desc 1635.23) (sims
plankton	0.110636
mollusk	0.100973
invertebrate	0.0961674
"sea cucumber"	0.0911104
sumac	0.0811187
carnation	0.0785481
algae	0.0777129
Starfish	0.076874
sponge	0.0766016
Jellyfish	0.075205
octopus	0.0726622
seaweed	0.0725418
clematis	0.0661202
coral	0.0651763
squid	0.0639341
peony	0.0638614
conch	0.063437
fungus	0.0627776
"dollar sign"	0.061404
chrysanthemum	0.0612687
tulip	0.0605504
varietals	0.0594901
wildflower	0.0586378
weevil	0.0575836
mussel	0.0562746
lemur	0.0559288
fern	0.0551923
Conifer	0.0550739
"sea turtle"	0.0549959
earthworm	0.0549068
swoosh	0.0539446
snail	0.0534162
orchid	0.0523593
fauna	0.0523344
wristband	0.0522502
sparkler	0.0519969
nematode	0.0519475
microorganism	0.0519376
shellfish	0.0516073
fungi	0.051082
amaryllis	0.0506202
aphid	0.0501371
"food coloring"	0.0501201
bloomers	0.0491956
"bond investor"	0.0490103
marigold	0.0488374
crustacean	0.048734
lollipop	0.0481443
kingfisher	0.0472844
abalone	0.0471935
hydrangea	0.0468411
camellia	0.0465178
"rare bird"	0.0458859
kelp	0.0451509
crabs	0.0439872
pergola	0.0438527
"red deer"	0.0436715
Crescent	0.0434445
rhododendron	0.0432963
daffodil	0.0426256
led	0.0422349
chaise	0.0422021
"fire ant"	0.0421376
poppy	0.0418886
Lichen	0.0416267
"hot pepper"	0.0415331
"fishing season"	0.0414269
dahlia	0.0407207
woodpecker	0.0407152
"American Basketball League"	0.0406331
plumage	0.0405917
dogwood	0.0403459
))
(anesthesia (desc 8021.86) (sims
anesthetic	0.135943
sedation	0.110564
sedative	0.0950661
painkiller	0.0930965
chemotherapy	0.0910745
tranquilizer	0.090148
"sleeping pill"	0.0828948
medication	0.0813037
"preventive medicine"	0.0784719
"physical therapy"	0.0777184
AZT	0.0763814
"first aid"	0.0754695
morphine	0.0741116
ultrasound	0.0720345
mammography	0.0702308
"heart attack"	0.069904
therapy	0.0692339
radiology	0.0689461
anti-inflammatory	0.0686474
acupuncture	0.0686039
"plastic surgery"	0.0680332
angioplasty	0.067578
placebo	0.0672861
dermatology	0.0670864
Valium	0.0666766
opiate	0.0663506
antibiotic	0.0661601
radiation	0.0659665
liposuction	0.0659146
transfusion	0.0648719
aspirin	0.0647686
injection	0.0638751
duress	0.0637989
resuscitation	0.0633383
leukemia	0.0626892
psychotherapy	0.0626803
dialysis	0.0614502
Urology	0.0604897
glaucoma	0.0604739
radiotherapy	0.0602441
"blood transfusion"	0.0599057
estrogen	0.0597973
self-censorship	0.059795
"electric shock"	0.0596156
implant	0.059396
"cardiovascular disease"	0.0585914
CPR	0.0577996
hernia	0.0576679
diabetes	0.0576125
interferon	0.0573848
vaccination	0.0572928
coma	0.0570453
Ritalin	0.0567498
oncology	0.0563512
hypnosis	0.0561318
lymphoma	0.0560033
tamoxifen	0.0557036
Prozac	0.0554841
Pediatrics	0.0554241
nevirapine	0.0553466
TPA	0.0544669
cortisone	0.0542933
polygraph	0.0542432
CJD	0.0538848
hormone	0.0537304
Cardiology	0.0536394
ophthalmology	0.053536
"face lift"	0.0534544
hospitalization	0.0528789
stimulation	0.0528788
menopause	0.0527339
"heart disease"	0.0525768
outpatient	0.052448
"growth hormone"	0.0521371
"lung cancer"	0.0519377
cryptography	0.0515276
pill	0.0508597
"rocket fuel"	0.0503156
"heart failure"	0.0498948
lifesaving	0.0497311
Chemo	0.0495446
hibernation	0.0493488
steroid	0.0493427
"surgical procedure"	0.0492291
Toxicology	0.0489614
antihistamine	0.0489604
insulin	0.0488342
defoliant	0.0487271
inhibitor	0.0486878
pathology	0.0484523
pneumonia	0.0484202
migraine	0.0481178
"cosmetic surgery"	0.0479884
"hearing aid"	0.0478827
microscope	0.0477537
acne	0.0477368
"house arrest"	0.0474403
leptin	0.0473381
viagra	0.0472956
oath	0.0472813
"internal medicine"	0.0471893
trauma	0.0471446
Botox	0.0467279
"corporal punishment"	0.0467078
complication	0.0460507
ENBREL	0.046011
sterilization	0.0458962
"colon cancer"	0.0458112
arthritis	0.0455035
"magnetic resonance imaging"	0.0454396
gynecology	0.0454024
osteoarthritis	0.0453758
contraceptive	0.0453216
Rezulin	0.0452706
Osteoporosis	0.0451404
"alternative medicine"	0.0450612
ketamine	0.04501
hemorrhage	0.0448797
transplantation	0.0448074
orgasm	0.0446805
fillip	0.0445588
mifepristone	0.0443187
Vaccine	0.0442512
Inoculation	0.0440218
mammogram	0.0439876
"shock therapy"	0.0439678
GHB	0.0438134
methadone	0.0438084
imaging	0.0436247
"atomic energy"	0.0436149
"blood pressure"	0.0434256
suction	0.0433875
melatonin	0.0433258
"blood test"	0.0429305
slumber	0.0429029
aneurysm	0.0428261
"surgical instrument"	0.0427869
hand-holding	0.04274
anemia	0.0427163
dehydration	0.0426686
Meningitis	0.0424743
"medical examination"	0.0424037
"medical care"	0.042213
RU-@@@	0.042099
"space travel"	0.041897
"genetic engineering"	0.041836
narcolepsy	0.0417893
recuperation	0.0416936
checkup	0.041584
pregnancy	0.0415495
obstetrics	0.0415391
circumcision	0.0414313
amputation	0.0414175
latex	0.0413838
flu	0.0413646
syringe	0.0412871
biopsy	0.041231
herpes	0.0412063
"bill of health"	0.0411801
Zoloft	0.0410562
"progress report"	0.0408665
electrocardiogram	0.0408232
"mental health"	0.0407685
"solar power"	0.0405274
overdose	0.0404674
"electric current"	0.040417
nicotine	0.0403396
automation	0.0402988
childbirth	0.0402887
spanking	0.040233
"emergency room"	0.0401589
))
(anesthesiologist (desc 5496.23) (sims
radiologist	0.148315
obstetrician	0.143341
urologist	0.14304
cardiologist	0.14064
neurologist	0.135216
internist	0.130358
surgeon	0.12556
neurosurgeon	0.113619
endocrinologist	0.112527
nurse	0.111995
oncologist	0.111583
physician	0.108079
pathologist	0.0986431
psychiatrist	0.098599
dentist	0.0976101
"physical therapist"	0.0969098
"plastic surgeon"	0.0961335
veterinarian	0.0937738
ophthalmologist	0.0936293
pharmacist	0.0913774
dermatologist	0.0896476
"medical student"	0.088807
epidemiologist	0.0847796
gynecologist	0.0846532
psychologist	0.0839501
Gastroenterologist	0.0835497
midwife	0.0831227
"clinical psychologist"	0.0828339
"social worker"	0.0828274
paramedic	0.081401
clinician	0.0783079
chiropractor	0.0781146
"eye doctor"	0.0772604
nutritionist	0.0771083
pediatrician	0.0760637
medic	0.0760073
dietitian	0.0757102
Urology	0.0744794
"computer programmer"	0.0728476
"registered nurse"	0.0719723
technician	0.0716885
technologist	0.0713209
practitioner	0.0696249
"police sergeant"	0.0690437
actuary	0.0687447
microbiologist	0.0678647
"aerospace engineer"	0.0676882
toxicologist	0.0663659
"civil engineer"	0.0653515
"heart surgeon"	0.0653189
"newspaper editor"	0.0652044
therapist	0.0651496
immunologist	0.0650465
"Lewis Yocum"	0.0616097
receptionist	0.0615825
"landscape architect"	0.061285
"school principal"	0.061264
"police lieutenant"	0.0611909
optometrist	0.0609416
"medical officer"	0.0603182
chaplain	0.0597683
orthodontist	0.0595236
electrician	0.0594583
"financial officer"	0.0592803
"newspaper publisher"	0.0592457
"police captain"	0.058818
"John Shalikashvili"	0.0586446
Allergist	0.0582042
"interior designer"	0.0580716
"real estate agent"	0.0578927
"civic leader"	0.0578474
endocrinology	0.0578266
newspaperman	0.0577984
counselor	0.0572457
acupuncturist	0.0572245
"police detective"	0.0568896
firefighter	0.0566537
naturalist	0.0565462
neurology	0.0563946
instructor	0.0562615
"medical specialist"	0.0560332
"general practitioner"	0.0559121
accountant	0.055331
appraiser	0.0548999
"air force officer"	0.0546466
Sergeant	0.0543718
supervisor	0.0542538
ethicists	0.0541015
"solicitor general"	0.0540324
plumber	0.0539872
"software engineer"	0.0537714
"bus driver"	0.0536886
chemist	0.0533158
"electrical engineer"	0.0532912
psychotherapist	0.0532649
librarian	0.0529128
"faculty member"	0.0529032
podiatrist	0.0528622
educator	0.0526547
"computer expert"	0.0526466
physiologist	0.0522085
Rodionov	0.0518527
"management consultant"	0.0517385
"altar boy"	0.0513789
"prosecuting attorney"	0.0512226
"school teacher"	0.0511784
paralegal	0.0511556
CPA	0.0508471
conger	0.0508164
bellhop	0.0508147
agronomist	0.050674
Atlantan	0.0506176
exec	0.0505915
biologist	0.050471
"English teacher"	0.0504442
"state senator"	0.0504365
pharmacologist	0.0504153
animator	0.050201
orthopedist	0.0500294
trainee	0.0500106
Maj.-Gen.	0.0499807
"interior decorator"	0.0499119
"baseball coach"	0.0498718
biochemist	0.0498176
lecturer	0.0496936
"science teacher"	0.0495833
ethicist	0.0495787
welder	0.0489931
"test pilot"	0.0488589
"house painter"	0.0487621
"associate professor"	0.0487434
Talebi	0.0486657
"health professional"	0.048647
"Brent Scowcroft"	0.0484847
oceanographer	0.0483925
geologist	0.048324
"emergency room"	0.0482102
sociologist	0.0480177
musicologist	0.0478772
"math teacher"	0.0478017
"insurance agent"	0.0477972
auditor	0.0477047
"Pervez Musharraf"	0.047559
"North Carolinian"	0.0474816
"family doctor"	0.0474361
"law student"	0.0473481
Councilman	0.0473184
steelworker	0.0471021
"staff sergeant"	0.0470853
intern	0.0467485
"real estate broker"	0.046711
geophysicist	0.0467106
"graphic artist"	0.0466293
bookkeeper	0.0464824
"skilled worker"	0.0464235
"public defender"	0.0463282
archaeologist	0.0460543
saleswoman	0.0459305
"trial attorney"	0.0458967
Realtor	0.0457075
"naval officer"	0.0456486
"church member"	0.0455053
jurist	0.0454934
rabbi	0.0453989
alderman	0.0453809
"hockey coach"	0.0453455
"FBI agent"	0.0451447
"lieutenant colonel"	0.0451071
"mechanical engineer"	0.0450969
Kurd	0.0450641
"operating room"	0.0450052
astrophysicist	0.0449786
Eran	0.0449532
transplantation	0.0449424
kayaker	0.0448196
"computer scientist"	0.0447779
Postmaster	0.0447245
"army officer"	0.0447146
"security consultant"	0.0446656
"hospital bed"	0.0446319
"assistant professor"	0.0446057
Kansan	0.0445513
machinist	0.0445446
"enlisted man"	0.0443759
"David Schippers"	0.0443483
autocrat	0.0443412
lifeguard	0.0441858
"prison guard"	0.0440382
controller	0.0440063
"certified public accountant"	0.0439842
"investment adviser"	0.043885
sportswriter	0.0438826
Colonel	0.04387
schoolteacher	0.0438207
detective	0.0437606
"Judah Folkman"	0.0437156
anthropologist	0.0436878
"Robert Aventajado"	0.0436696
roofer	0.0436467
cleric	0.0435889
))
(anesthetic (desc 2292.21) (sims
tranquilizer	0.150251
"sleeping pill"	0.14391
painkiller	0.13611
anesthesia	0.135943
GHB	0.127725
interferon	0.109241
insulin	0.104291
acetaminophen	0.0995083
antibiotic	0.0987391
aspirin	0.0925583
Zoloft	0.0924031
antihistamine	0.0923016
morphine	0.0906266
Botox	0.0906095
sedative	0.0877152
opiate	0.086646
TPA	0.0861123
"embryonic cell"	0.0849384
laxative	0.0816195
leptin	0.0810678
Avonex	0.0780977
stimulant	0.0780681
adenovirus	0.0760123
ketamine	0.0756955
refill	0.0746219
AZT	0.0739207
penicillin	0.0735555
"ultraviolet light"	0.0733866
"electric current"	0.0730051
"electric shock"	0.0719941
steroid	0.0680321
chlorine	0.0669025
cortisone	0.0668053
iodine	0.0665787
ENBREL	0.066494
placebo	0.0660888
insecticide	0.0659415
narcotic	0.0656423
toxin	0.0653899
methamphetamine	0.0651632
ibuprofen	0.0650983
propellant	0.0641667
melatonin	0.0638008
tamoxifen	0.0636785
hormone	0.0633688
Tylenol	0.06329
contraceptive	0.0630725
"hard drug"	0.0629948
"hypodermic needle"	0.0628838
antioxidant	0.0627841
REPELLENT	0.0610137
chemotherapy	0.0610095
EPO	0.0608159
vitamin	0.0605363
remover	0.0604001
telomerase	0.0603235
levity	0.0596469
"growth hormone"	0.0593538
glucose	0.0588983
nevirapine	0.0588732
deftness	0.0582161
MDMA	0.0581125
inhaler	0.0577965
"gamma ray"	0.0572836
"essential oil"	0.0569367
"vitamin E"	0.0565267
electrolyte	0.0563532
ecstasy	0.0561253
"beam of light"	0.0560686
Ritalin	0.0560321
"Thomas Youk"	0.0558467
nutrient	0.0557191
estrogen	0.0556005
antacid	0.055098
"rocket fuel"	0.0550196
"vitamin A"	0.054887
inhibitor	0.0543286
"electrical device"	0.0538317
methadone	0.0536068
aromatics	0.0533165
mifepristone	0.0532802
endoscope	0.0532417
Endostatin	0.0530809
emulator	0.0527835
Prozac	0.0527575
disinfectant	0.0525321
amphetamine	0.0523722
"prescription medicine"	0.052116
nicotine	0.0517192
chloride	0.0516076
psychotherapy	0.0515118
entrails	0.0514911
aphrodisiac	0.0514223
stapler	0.0513695
Sarin	0.0513582
"sex hormone"	0.0511748
additive	0.0510187
brine	0.0508092
adrenaline	0.0501317
syringe	0.0501161
polymer	0.0499862
enhancers	0.0499126
stents	0.0498361
razzle-dazzle	0.0498219
antigen	0.0497599
"ice pack"	0.0497495
defoliant	0.0497358
serum	0.0496912
"particle accelerator"	0.0493526
LSD	0.0492918
offal	0.0491445
blocker	0.0490857
isotope	0.0487428
"lethal dose"	0.0482205
Erythropoietin	0.0479584
carcinogen	0.0478932
"human growth hormone"	0.0475161
moisturizer	0.0474954
"computer application"	0.0473763
acupuncture	0.0473171
excrement	0.0473045
epoxy	0.0472204
potty	0.0469938
nitroglycerin	0.0469863
"wonder drug"	0.0468064
Valium	0.0467066
angioplasty	0.0463236
boosterism	0.0462259
eavesdropper	0.0461526
hydrocarbon	0.046139
Relenza	0.0460605
"food coloring"	0.0460377
transfusion	0.0459465
plasma	0.0459211
Gel	0.0457404
enema	0.0455439
detergent	0.0454337
generics	0.0452516
Celebrex	0.0451294
"anxiety disorder"	0.045002
venom	0.0448698
incision	0.0448127
creatine	0.0447804
"folic acid"	0.0443769
"vitamin C"	0.0443706
Herceptin	0.0441314
"vital organ"	0.0441067
premonition	0.043989
oomph	0.0439383
sweetener	0.0439161
platelet	0.0438644
Claritin	0.0438628
facelift	0.0438368
propane	0.0438165
LIPITOR	0.0437228
ultrasound	0.0436293
oil-for-food	0.0436272
acid	0.0435093
helium	0.0434962
fizz	0.0434744
Farnsworth	0.0433713
CO@	0.0432314
"Brigitte Bardot"	0.0431213
seasoning	0.0430282
anti-inflammatory	0.0430011
McQueen	0.0428792
"American plane"	0.0428011
"breathing room"	0.0426092
Prilosec	0.042601
castration	0.0425499
"Derrick Thomas"	0.0424937
hGH	0.0424875
"over @.@ billion yuan"	0.0423049
"UNIX operating system"	0.0420668
"low-fat diet"	0.0419989
marinade	0.0419243
"food additive"	0.0418868
Chemo	0.0418842
CFCs	0.0418503
"off-speed pitch"	0.0417567
andro	0.0416999
liveliness	0.041637
elixir	0.0414688
stagecraft	0.0414183
"hearing aid"	0.0414051
antiseptic	0.0411768
herbicide	0.041091
"visual image"	0.0410856
transnationals	0.0410274
fluoride	0.0408657
eggnog	0.0408079
diuretic	0.0408078
"nerve gas"	0.0408026
"Star of David"	0.0407946
radiotherapy	0.0407387
"measuring cup"	0.0407116
sealer	0.0406251
craziness	0.040542
Zocor	0.0405116
"Word of God"	0.0404528
))
(aneurysm (desc 3957.08) (sims
hernia	0.234564
"blood clot"	0.168175
cyst	0.154817
clot	0.144339
"brain tumor"	0.130451
labrum	0.124377
arrhythmia	0.118988
blockage	0.118938
lesion	0.117212
"water main"	0.116114
"cardiovascular disease"	0.114262
abscess	0.114209
melanoma	0.109483
"liver disease"	0.109272
ulcer	0.109139
ailment	0.108746
tumor	0.108679
hemorrhage	0.108123
angioplasty	0.107582
inflammation	0.106847
"blood vessel"	0.105144
"colon cancer"	0.103068
fracture	0.101904
aorta	0.0976592
lymphoma	0.0970635
gallbladder	0.097004
glaucoma	0.0961572
colon	0.0952197
"lung cancer"	0.093299
"congestive heart failure"	0.0932711
"lymph node"	0.0895239
tendon	0.0890919
"mental disorder"	0.0888671
abnormality	0.0883941
deformity	0.087959
disorder	0.0866465
"multiple sclerosis"	0.086515
hypertension	0.0854931
meniscus	0.0853352
"achilles tendon"	0.085177
nearsightedness	0.0848094
ligament	0.0843343
"heart condition"	0.0841663
cataract	0.0832861
ACL	0.0825099
pneumonia	0.0823121
cartilage	0.0814845
infection	0.0807447
malformation	0.0806675
gallstone	0.0806193
cramp	0.0803601
prostate	0.0797665
appendix	0.0794735
infertility	0.0790645
nodule	0.0787484
artery	0.0785352
incision	0.0781755
bladder	0.0774177
"Parkinson's disease"	0.0762862
"heart failure"	0.0758681
"skin cancer"	0.0757453
malady	0.0755418
polyp	0.0754535
uterus	0.0737585
dehydration	0.0731794
Achilles	0.0731768
spasm	0.0731493
leukemia	0.0731352
malignancy	0.0723249
spleen	0.0712627
"heroin addiction"	0.0706301
"asthma attack"	0.070347
"heat exhaustion"	0.069857
"heart attack"	0.0697453
sac	0.0689958
"genetic disease"	0.0685951
swelling	0.0678309
angina	0.0676848
"heart disease"	0.0675164
"engine failure"	0.064771
"dengue fever"	0.0646779
"eye disease"	0.0644648
dyslexia	0.0644426
"high blood pressure"	0.0643099
myeloma	0.0634396
incontinence	0.0632998
Meningitis	0.0631805
impairment	0.0631411
Osteoporosis	0.0628508
SIDS	0.0623507
augmentation	0.0620301
anemia	0.0619509
dementia	0.0619366
overdose	0.0614775
trauma	0.061373
encephalitis	0.0611938
ADHD	0.0609102
gland	0.0608802
"face lift"	0.060321
syndrome	0.0603016
diabetes	0.0602357
arthritis	0.0601344
emphysema	0.0601254
"chest pain"	0.0597758
schizophrenia	0.0597057
epilepsy	0.0596982
inhalation	0.0589759
tendinitis	0.0586951
"personality disorder"	0.0585277
"cystic fibrosis"	0.0579763
cuff	0.0579727
"kidney disease"	0.0578267
clotting	0.0577517
"malignant tumor"	0.057264
Parkinson's	0.0572027
"water pipe"	0.0568424
poisoning	0.0564351
"kidney stone"	0.0562929
heartburn	0.0560435
kneecap	0.0559058
migraine	0.0558181
"anxiety disorder"	0.0557545
numbness	0.0552491
bifida	0.0550685
"neurological disorder"	0.0549664
carcinoma	0.0548158
dysfunction	0.0547983
"food poisoning"	0.0544171
brawn	0.0538651
"muscular dystrophy"	0.0534819
Stinger	0.0533144
malfunction	0.053206
hemophilia	0.0531362
osteoarthritis	0.0530343
side-effects	0.0529248
"flat tire"	0.0526616
"nervous breakdown"	0.052625
fibroids	0.0526244
relapse	0.0523278
asthma	0.0511525
knots	0.0508189
"nerve cell"	0.0505141
"heart valve"	0.0503705
eardrum	0.0502233
stiffness	0.0502023
soreness	0.0501392
"rheumatoid arthritis"	0.0500937
thyroid	0.0500504
"back pain"	0.0498736
allergy	0.0497445
"gas line"	0.0496273
catheter	0.0496071
lining	0.0495042
contusion	0.0493033
"mental illness"	0.0492046
Gash	0.0490775
CJD	0.0490666
transplantation	0.0489605
autism	0.0488731
LASIK	0.0486767
tightness	0.0478137
mastectomy	0.0476808
"Lyme disease"	0.0476247
deafness	0.0471947
parasite	0.0468491
"skin disease"	0.0468459
atrophy	0.0468436
heartbeat	0.0468019
serotonin	0.0467799
hepatitis	0.0467334
affliction	0.0463087
"tooth decay"	0.0459681
frostbite	0.0459483
cavity	0.0458946
enzyme	0.045879
"blood pressure"	0.0456943
"venereal disease"	0.0456043
Rabies	0.0455024
gastroenteritis	0.0453745
diarrhoea	0.0452524
nitroglycerin	0.0452438
mutation	0.0449769
influenza	0.0448966
kidney	0.0447245
"sexually transmitted disease"	0.0447191
disfigurement	0.0442719
cholera	0.0441177
bronchitis	0.0441052
palpitation	0.0440986
curvature	0.043774
tuberculosis	0.0434735
vertebra	0.0434412
"cancer death"	0.0433988
diarrhea	0.0433469
vertebrae	0.0432903
bacterium	0.0432071
"mental state"	0.0430861
impotence	0.0430319
cholesterol	0.0429692
malnutrition	0.0429565
))
("Anfernee Hardaway" (desc 2232.2) (sims
"Penny Hardaway"	0.333823
"Gary Payton"	0.260504
"Mitch Richmond"	0.245288
"Alonzo Mourning"	0.207075
"Tim Hardaway"	0.205889
"Jason Kidd"	0.197315
"Darrell Armstrong"	0.19683
"Tom Gugliotta"	0.191321
"Rod Strickland"	0.19077
"Juwan Howard"	0.183725
"Ray Allen"	0.180516
"Terrell Brandon"	0.180371
"Grant Hill"	0.176734
"Kevin Johnson"	0.175628
"Cliff Robinson"	0.164653
"Kevin Garnett"	0.159961
"Dominique Wilkins"	0.155415
"Sam Cassell"	0.155342
"David Robinson"	0.154125
"Vin Baker"	0.14985
"Allan Houston"	0.149356
"Reggie Miller"	0.145518
"Chris Webber"	0.144521
"Chris Mullin"	0.143114
"Dan Majerle"	0.142009
"Charles Barkley"	0.141417
"Kobe Bryant"	0.138659
"Shaquille O'Neal"	0.136525
"Karl Malone"	0.133677
"Steve Smith"	0.133436
"Joe Dumars"	0.133323
"Nick Anderson"	0.132606
"Stephon Marbury"	0.128544
"Glen Rice"	0.128316
"Tim Duncan"	0.126092
"Nick Van Exel"	0.122477
"Eddie Jones"	0.122412
"John Stockton"	0.120117
"Damon Stoudamire"	0.119435
"Clifford Robinson"	0.119369
"Jerry Stackhouse"	0.117425
"Shawn Kemp"	0.117047
"Dikembe Mutombo"	0.115959
"Hakeem Olajuwon"	0.115399
"Jeff Hornacek"	0.112314
"Rex Chapman"	0.110516
"Danny Manning"	0.10949
"Allen Iverson"	0.109063
"Ron Harper"	0.107172
"Clyde Drexler"	0.106312
"Scottie Pippen"	0.106203
"Robert Horry"	0.1052
Hardaway	0.104877
"Patrick Ewing"	0.104828
"Mark Jackson"	0.104816
"Glenn Robinson"	0.0999412
"Jalen Rose"	0.0999354
"Brian Shaw"	0.099833
"Latrell Sprewell"	0.0990593
"Jamal Mashburn"	0.0979316
McCloud	0.0975793
"Christian Laettner"	0.0950856
"Toni Kukoc"	0.0949359
Rook	0.090589
"Derek Fisher"	0.0903521
"Michele Timms"	0.0898456
"Bimbo Coles"	0.0888536
"Antonio McDyess"	0.0880099
"A.C. Green"	0.0856296
"Ron Mercer"	0.0856041
"Kerry Kittles"	0.0851701
"Isiah Thomas"	0.0847599
"Travis Best"	0.0821487
"Steve Nash"	0.081766
"Vince Carter"	0.0808758
"Avery Johnson"	0.0808485
"Jim Jackson"	0.0790304
"Isaiah Rider"	0.0789813
"Michael Finley"	0.0779712
"Luc Longley"	0.0774822
"Horace Grant"	0.0768793
"Brandon Granville"	0.0760686
"Matt Maloney"	0.0760553
"David Wesley"	0.0753839
"Rick Fox"	0.0751817
"Derek Harper"	0.0746647
"Brian Grant"	0.074434
"Vernon Maxwell"	0.0740168
"B.J Armstrong"	0.0738703
"Antonio Daniels"	0.0736882
"Howard Eisley"	0.073633
"Brent Barry"	0.0735334
"Randy Brown"	0.0730531
"Rasheed Wallace"	0.0728384
"Darrick Martin"	0.0725946
"Wayne Turner"	0.0723063
"P.J Brown"	0.0718543
"Doug Christie"	0.0710168
"Bobby Phills"	0.0707448
"Vlade Divac"	0.0702191
"Shareef Abdur-Rahim"	0.0683932
"Hu Weidong"	0.0682808
Mashburn	0.0681587
"J.R Reid"	0.0677425
"Dennis Rodman"	0.0677386
"Anthony Mason"	0.0677061
"Hersey Hawkins"	0.0674238
"Anthony Johnson"	0.0673036
"Kris Clack"	0.0672807
"Jayson Williams"	0.0662678
"Larry Hughes"	0.0655447
"Matt Santangelo"	0.0650863
"Joe Smith"	0.0643731
"George McCloud"	0.064276
"Travis Knight"	0.0640813
"Rik Smits"	0.0639483
"Robert Pack"	0.0635605
"Kenny Anderson"	0.0629919
"Keith Van Horn"	0.0628886
"Charlie Ward"	0.0628719
"Cuttino Mobley"	0.0627823
"Brevin Knight"	0.0625936
"Detlef Schrempf"	0.0610256
Strickland	0.0608798
"Eric Murdock"	0.060806
"Arvydas Sabonis"	0.0606407
"Mike Bibby"	0.0604572
"Erick Barkley"	0.0601921
"Eddie House"	0.0601167
"Voshon Lenard"	0.059759
"Corey Maggette"	0.0597549
"Mark Bryant"	0.0597502
"Chris Childs"	0.0586964
"Magic Johnson"	0.0586642
"Michael Redd"	0.0585492
"Eric Snow"	0.0584546
"Jason Terry"	0.058337
"Larry Johnson"	0.0580559
"Bryon Russell"	0.0571247
"John Starks"	0.0569924
"Sherman Douglas"	0.0569517
"Maurice Taylor"	0.0567373
"Tariq Abdul-Wahad"	0.0566571
"Kendall Gill"	0.0561368
"Rodney Rogers"	0.0559568
"Otis Thorpe"	0.0559208
"Chauncey Billups"	0.0558238
"Eric Piatkowski"	0.055595
"Elden Campbell"	0.0552274
"Shawn Marion"	0.0551425
Stackhouse	0.0547102
"Ryan Bailey"	0.054708
"Mark Williams"	0.0547023
"Matt Geiger"	0.0546502
"Dale Davis"	0.0545344
"Ricky Moore"	0.0539641
"Scoonie Penn"	0.0538342
"Ukari Figgs"	0.0537141
"Bob Sura"	0.0530608
"Wayne Gretzky"	0.0523701
"Greg Anthony"	0.052132
"Jimmy Oliver"	0.0519033
MARBURY	0.051859
"Nikki McCray"	0.051433
"Jaren Jackson"	0.0513478
"Utah Jazz"	0.0508011
"Mookie Blaylock"	0.050645
"Austin Croshere"	0.0506173
"Michael Dickerson"	0.0505627
"Antoine Walker"	0.0504761
"Theo Ratliff"	0.0502456
"Hulk Hogan"	0.0501451
"Phil Jackson"	0.0498301
"Teresa Weatherspoon"	0.0498104
Kidd	0.0496142
"Jeff Trepagnier"	0.0496014
"Kareem Abdul-Jabbar"	0.0492352
Maxwell	0.0490827
"Jason Williams"	0.0488728
"Dawn Staley"	0.0484176
Garnett	0.0483976
"Jennifer Gillom"	0.0479506
Timms	0.0479424
"Doc Rivers"	0.0477273
Chapman	0.0476707
"Khalid El-Amin"	0.0475752
Stoudamire	0.0475497
"Kim Perrot"	0.0471235
"CORIE BLOUNT"	0.0464936
"Raul Diaz Arce"	0.0464755
"Larry Bird"	0.0464124
"Malik Sealy"	0.0463044
"Sam Mack"	0.0460824
Polynice	0.0459393
"Dennis Scott"	0.0451705
Gugliotta	0.0451623
"Dirk Nowitzki"	0.0450346
"Walt Williams"	0.0449286
"Lawrence Phillips"	0.0446002
"Shammond Williams"	0.0445964
))
(Anfield (desc 1723.87) (sims
"Stamford Bridge"	0.220212
"Villa Park"	0.185055
"Old Trafford"	0.17669
Wembley	0.16622
"Tokyo Dome"	0.141864
"Derby County"	0.138326
Highbury	0.135766
"Stade Velodrome"	0.11652
"West Ham"	0.100826
Hillsborough	0.095576
"Comiskey Park"	0.0838752
Southampton	0.083366
"Blackburn Rovers"	0.0824657
"Lambeau Field"	0.082341
"Melbourne Park"	0.0812475
"Roland Garros"	0.0807265
"Stade de France"	0.079883
"Continental Airlines Arena"	0.0753082
"Great Western Forum"	0.0744779
Liverpool	0.0732183
"Loch Lomond"	0.0722365
"Continental Arena"	0.0716542
Blackburn	0.0715342
"German Open"	0.070577
"America West Arena"	0.0691724
Middlesbrough	0.0675225
Udinese	0.0671957
"Mile High Stadium"	0.0663096
"Bay Hill"	0.0640842
"Red Star"	0.0639677
Barnsley	0.0629556
"Kyle Field"	0.0628728
Watford	0.0627503
SkyDome	0.0621181
Safeco	0.061594
Metrodome	0.0613122
"half time"	0.0607016
"Melbourne Cricket Ground"	0.0593232
"MCI Center"	0.0591515
"Wembley Stadium"	0.0573489
"English Premier League"	0.0564963
Fulham	0.0563395
"Sanford Stadium"	0.0559389
Saint-Denis	0.0554146
Yokohama	0.0541008
"Maple Leaf Gardens"	0.0535352
"Rivers Stadium"	0.0531843
"Reunion Arena"	0.0527423
"Jacobs Field"	0.0520575
"RFK Stadium"	0.0505213
"Arrowhead Stadium"	0.0505098
"Fair Grounds"	0.0501766
"Turner Field"	0.0499248
"Velez Sarsfield"	0.0496852
"Tropicana Field"	0.049656
"Cotton Bowl"	0.049629
"Pauley Pavilion"	0.0495179
"Soldier Field"	0.0492544
Kashima	0.0479251
"Foxboro Stadium"	0.0477161
"Comerica Park"	0.0476097
"Buick Invitational"	0.0473133
"Pikes Peak"	0.0469689
"Coors Field"	0.0468014
"National Tennis Center"	0.0465066
"Phoenix Open"	0.0464954
Irwindale	0.0454571
"Compaq Center"	0.0454298
PSG	0.0450972
"Dodger Stadium"	0.0450111
magpie	0.044631
Everton	0.0446115
"Market Square Arena"	0.0440778
Leicester	0.0434045
"Newcastle United"	0.0429621
"Cal State Fullerton"	0.0427836
"Chinese Army"	0.0426411
"World Team Cup"	0.0425264
Nantes	0.0424326
"Marine Midland Arena"	0.04235
"Civic Arena"	0.0423075
"Victoria Park"	0.0422107
RFK	0.0419661
Martinsville	0.0419145
"Nottingham Forest"	0.0418265
"Longwood Cricket Club"	0.0415973
"Basketball Championship"	0.0403604
Pir	0.0403347
Monza	0.0400699
))
(Angara (desc 861.314) (sims
Glickman	0.133265
Sumaye	0.123909
"Delta @"	0.113376
Boueiz	0.104003
Bruton	0.103216
"Robert Aventajado"	0.0982755
Malu	0.0956514
Ruehe	0.0946908
Redstone	0.0937806
"Dan Glickman"	0.0917553
Brittan	0.091362
"Orlando Mercado"	0.0912667
Kasoulides	0.0898241
Espy	0.0891413
"Home Ministry"	0.0886437
Tsvangirai	0.087932
Zuma	0.0878307
Shamshad	0.087468
Cui	0.0869159
Jayakumar	0.0864192
Singson	0.0863104
"Mike Espy"	0.086026
Hirschbeck	0.0858492
Stoyanov	0.0843389
"Sea Launch"	0.0835583
Modise	0.0818424
Murayama	0.0813683
Verney	0.0806472
Napolitano	0.0803358
"Lee Hsien Loong"	0.0802541
Harmoko	0.0801837
Milbury	0.0800591
"George Speight"	0.0800203
Husseini	0.0794914
"Department of Environment"	0.0792271
Leghari	0.0784425
Arens	0.0780973
O'Malley	0.0780495
Bizimungu	0.0770603
Guterres	0.0762212
Biggs	0.0758523
"Israeli Foreign Ministry"	0.0753916
Ashrawi	0.0747846
Mandelson	0.0739334
Liao	0.0738427
"Irish Catholic"	0.0735088
"Pascoal Mocumbi"	0.0733931
Hagelin	0.0716214
Mokhehle	0.0716213
Jovanovic	0.0712343
"Long March"	0.070476
Bolger	0.070309
Bautista	0.0701205
"Consumer Product Safety Commission"	0.0699627
Bragman	0.0697815
Meguid	0.0696798
Guan	0.0690485
Flanagan	0.0690084
Erving	0.0688335
Beazley	0.0686163
Brundtland	0.0681701
Tsang	0.0681014
Fernandes	0.0675409
Musa	0.0675311
Scharping	0.0674153
Salim	0.0672244
CPSC	0.0670499
Banharn	0.0669573
Rosario	0.0668379
Pickering	0.0666654
Rong	0.0660883
Wolfson	0.0660825
Prewitt	0.0658795
Soong	0.0657463
GSS	0.0656322
Hynes	0.0654212
"Kenyan Government"	0.0653315
Strauss-Kahn	0.0651845
Ratner	0.0651342
Koirala	0.0650334
pressman	0.0648651
Luo	0.064828
Yadav	0.0646989
"Khin Nyunt"	0.0645008
Montiel	0.0643782
Blum	0.064208
Stroh	0.0641313
Tuttle	0.0641195
Galindo	0.0637866
Seselj	0.0636896
Ribbeck	0.0636184
Zambrano	0.0634539
Hauser	0.0633696
Aguirre	0.0629367
Barrionuevo	0.0628952
Kromah	0.0628233
Dai	0.0627159
TDB	0.0625362
Nasrallah	0.0623566
Klima	0.0621724
Advani	0.0621721
Meng	0.0618964
Cavallo	0.0617187
Sheehan	0.061697
Rifkind	0.0616211
Hasina	0.0615578
Aventajado	0.0613959
"Secretary General Esmat Abdel-Meguid"	0.0611313
Yastrzhembsky	0.0611106
Lehane	0.0610203
Mkapa	0.0606992
"finance chief"	0.0606346
Kagame	0.0605223
"Speaker Ali Akbar Nateq-Nouri"	0.0603726
EOHR	0.0602554
Santer	0.0602263
Guei	0.0601966
Wenger	0.0601223
Nateq-Nouri	0.0599277
Isner	0.0598817
Aleman	0.0596531
CIRC	0.0596469
Storin	0.0594892
Almeida	0.0593659
Hsu	0.0591061
Sanan	0.0590897
Alatas	0.0590836
Kyl	0.0590036
Bonanno	0.0590021
Ikimi	0.0589582
Shahak	0.0586461
capella	0.0583072
Sergeyev	0.0581503
"weather forecaster"	0.0581203
Muluzi	0.0580167
"Lowell Weicker"	0.0578656
Bronfman	0.0578476
"Bank of Zambia"	0.0577598
Mikhailov	0.0577382
Koroma	0.0576285
Bubb	0.057577
Okada	0.0575681
Pustovoitenko	0.0575627
Manley	0.0574406
Huizenga	0.0572917
Berisha	0.0572868
Piot	0.0571611
Rais	0.0569504
Villanueva	0.0568642
Garvey	0.056733
Sheng	0.0566746
Goff	0.0566154
Orban	0.0566068
Kerasiotes	0.0564499
Atto	0.0564291
McCurry	0.0563585
Byers	0.0563361
Wolfensohn	0.056324
"Bill Skate"	0.0562809
Kato	0.0562161
Joklik	0.0561364
Berenson	0.0561186
Tevanian	0.05609
Rollins	0.0559663
Siegelman	0.0559296
Myhrvold	0.0557874
"British Foreign Office"	0.0557666
Siazon	0.0557225
lauder	0.0557012
Bingham	0.0556278
Stamps	0.055567
Terra	0.0555578
Chissano	0.0554616
"Helen Clark"	0.0553357
Govt	0.0553005
H@	0.0552749
Khamenei	0.0552328
Zhirinovsky	0.0551614
Borodin	0.0550078
Hutchinson	0.0549164
Kasyanov	0.0547477
Narayanan	0.0547465
Paxon	0.0546899
Nano	0.0546275
Reimer	0.054537
Demaci	0.0542659
Giordano	0.0542565
Gargan	0.0542509
Aquino	0.0542491
Kagalovsky	0.054179
"Tim Fischer"	0.0541248
Bellamy	0.0541034
Fleischer	0.0539177
Villar	0.0537267
Fiorina	0.0536562
Mueller	0.0536417
Thapa	0.053589
Juma	0.0535088
Zeng	0.05349
Bulatovic	0.0534278
))
(angel (desc 88353.4) (sims
dodger	0.220535
mariner	0.213348
"Red Sox"	0.209482
"Anaheim Angels"	0.201822
Padre	0.201619
ASTROS	0.200864
Orioles	0.19639
brave	0.193672
diamondback	0.192091
Yankee	0.191526
ranger	0.191003
Mets	0.190582
"White Sox"	0.190451
cub	0.186365
Phillies	0.184297
"blue jay"	0.182548
Royals	0.182514
A's	0.182311
Giants	0.181188
Sox	0.175294
marlin	0.165019
"devil ray"	0.161417
cardinal	0.158932
"New York Mets"	0.158889
"Boston Red Sox"	0.154137
"Los Angeles Dodgers"	0.14924
ANAHEIM	0.148553
Indian	0.145852
pirate	0.143294
tiger	0.142453
"Cleveland Indians"	0.141378
Expo	0.139951
"San Francisco Giants"	0.139368
"Texas Rangers"	0.139146
"Chicago Cubs"	0.137251
"Atlanta Braves"	0.135858
"New York Yankees"	0.135444
"Seattle Mariners"	0.135052
"Baltimore Orioles"	0.135017
"Chicago White Sox"	0.132397
"Detroit Tigers"	0.13153
"Tampa Bay"	0.131414
Oakland	0.131092
twin	0.129907
"Houston Astros"	0.129437
brewer	0.128196
"San Diego Padres"	0.126577
red	0.125857
Cleveland	0.125624
"St. Louis Cardinals"	0.123445
"Arizona Diamondbacks"	0.121898
Rockies	0.121457
"Cincinnati Reds"	0.120668
"Toronto Blue Jays"	0.117847
"Kansas City Royals"	0.117773
"Tampa Bay Devil Rays"	0.117075
"Oakland Athletics"	0.116709
"Pittsburgh Pirates"	0.113591
bruin	0.113218
Toronto	0.112511
"Florida Marlins"	0.112204
"Milwaukee Brewers"	0.112164
"Colorado Rockies"	0.111643
"Minnesota Twins"	0.111198
cowboy	0.110199
Seattle	0.109828
Baltimore	0.108038
Lakers	0.106626
"St. Louis"	0.1061
"Montreal Expos"	0.105173
falcon	0.105032
Detroit	0.10442
Montreal	0.103491
Cincinnati	0.103174
"Philadelphia Phillies"	0.102567
"San Diego"	0.101585
Boston	0.100345
devil	0.100059
patriot	0.0990306
panther	0.0986199
Eagles	0.0983339
Trojan	0.0980321
Knicks	0.0979244
clipper	0.0979235
Milwaukee	0.0978245
islander	0.0975803
bull	0.0972213
Celtics	0.0969917
Seahawks	0.0964008
Arizona	0.0963531
Minnesota	0.0946802
Pittsburgh	0.0937341
Redskin	0.0927892
BEARS	0.0924775
maverick	0.0923728
team	0.0921243
oiler	0.0920266
Colorado	0.0909724
king	0.0905052
Sonics	0.0892413
Atlanta	0.0883913
flyer	0.0882365
"Kansas City"	0.0880425
packer	0.0878962
pacer	0.0876853
athletics	0.0872898
wildcat	0.0867072
hawk	0.0862477
Chicago	0.0857715
Canuck	0.0852865
Houston	0.0845921
lion	0.0840552
Dallas	0.0835602
ram	0.0830819
raider	0.082883
"Los Angeles Lakers"	0.0813321
dolphin	0.0812925
"New York Giants"	0.0812659
Texas	0.0808814
Philadelphia	0.0800678
piston	0.0799867
charger	0.0798958
husky	0.0798172
bronco	0.0795466
"Maple Leafs"	0.0793957
"Washington Redskins"	0.0793189
"Mighty Ducks"	0.0791845
MetroStars	0.078932
Viking	0.0788492
coyote	0.0782228
bulldog	0.077509
Raven	0.0772872
sabre	0.0770938
"Red Wings"	0.076895
Saint	0.076725
"New York Rangers"	0.0756245
USC	0.0755293
spur	0.0752518
"Florida Panthers"	0.0745108
pitcher	0.074355
Edmonton	0.0742786
Carolina	0.0742591
matador	0.0741284
"San Francisco"	0.0738512
Buffalo	0.0738064
blazer	0.0733482
wizard	0.0732457
Phoenix	0.0729503
"Green Bay"	0.0729006
Raptor	0.0724295
"Chicago Bulls"	0.0723595
"Edmonton Oilers"	0.0721288
colt	0.0719837
"Cleveland Browns"	0.0718063
"New York Jets"	0.0717031
star	0.0716422
"New York Knicks"	0.0713265
UCLA	0.0712656
Denver	0.0708306
"San Antonio Spurs"	0.0706572
jet	0.0705469
"Minnesota Vikings"	0.0704868
Martinez	0.0704633
Portland	0.0701604
Canadiens	0.0701468
"Houston Rockets"	0.0701049
buckeye	0.0700125
Hornet	0.0699673
Bengals	0.0699299
Longhorn	0.0699258
Aggies	0.069877
"Dallas Cowboys"	0.0698699
titan	0.069853
Steelers	0.0698003
"Indiana Pacers"	0.0697364
Jazz	0.0694333
cavalier	0.0693781
club	0.0693127
guy	0.0692531
rocket	0.0688535
sixer	0.0687287
"Sacramento Kings"	0.0686368
duck	0.0678617
"Phoenix Suns"	0.0677496
warrior	0.0677144
Brown	0.0674716
grizzly	0.0669761
"Dallas Stars"	0.0668463
"Atlanta Hawks"	0.0666517
"Miami Dolphins"	0.0661411
yank	0.0660776
Timberwolves	0.0659217
"Green Bay Packers"	0.0658447
Miami	0.0657309
"Washington Capitals"	0.0655139
inning	0.0654991
"Los Angeles Clippers"	0.0653773
game	0.0652753
"Los Angeles"	0.0650521
"Chicago Bears"	0.0648785
))
("Angel Maturino Resendiz" (desc 1475.61) (sims
"Rafael Resendez-Ramirez"	0.285628
perjurer	0.149579
"Maturino Resendiz"	0.148458
Barrionuevo	0.133562
Blackthorne	0.130171
"John William King"	0.128416
"Theodore Kaczynski"	0.127157
"Dinko Sakic"	0.12693
"Gary Graham"	0.124669
"Cary Stayner"	0.124532
"Timothy McVeigh"	0.116864
pedophile	0.116503
"Edwin Edwards"	0.112335
"Jonathan Pollard"	0.110454
"Charles Manson"	0.106032
"Eric Rudolph"	0.105468
swindler	0.105379
"Julie Hiatt Steele"	0.104085
"Mumia Abu-Jamal"	0.102866
Priebke	0.10163
"El Hage"	0.100864
plotter	0.0990717
Soliah	0.0983261
Akayesu	0.0979608
"Terry Nichols"	0.0969516
Resendez-Ramirez	0.0961481
drifter	0.0959782
Shulman	0.0953867
"Martin Frankel"	0.0929464
Jelisic	0.0928561
"Iranian Jews"	0.0925371
Deri	0.0916179
Neulander	0.0910573
TORTURER	0.0902044
Markhasev	0.0898632
Robison	0.0893236
Natale	0.0892999
forger	0.0887567
Libyan	0.0879877
Sheinbein	0.0876701
Fortier	0.086935
Salemme	0.0860005
"war criminal"	0.085072
"Radovan Karadzic"	0.0849679
"Shawn Berry"	0.0848498
Hsia	0.0847479
Rapist	0.0845096
Strauss-Kahn	0.0841591
"Karla Faye Tucker"	0.0840165
pedophiles	0.0838801
"child molester"	0.0833817
"Bill King"	0.0825025
Capano	0.0821478
conspirator	0.0817956
Ntuyahaga	0.081575
supremacist	0.0813748
Swango	0.0807371
shoplifter	0.0794566
murderer	0.079435
Karbaschi	0.0793873
"Wen Ho Lee"	0.0781134
"Yigal Amir"	0.0775508
"serial killer"	0.0770941
"Wang Dan"	0.0767577
Gauthe	0.0764828
Gotti	0.0764124
Lundy	0.0759644
"Maria Hsia"	0.075855
"Eric Robert Rudolph"	0.0754066
Mitnick	0.0752678
kingpin	0.0751531
"Richard Jewell"	0.0751383
"Ahmed Ressam"	0.0747554
Coolio	0.0740965
co-conspirator	0.0740907
Agca	0.0740274
"Justin Volpe"	0.0736183
Sebaggala	0.0734242
"Ray Lewis"	0.0733851
gunman	0.0732575
"Bosnian Serb"	0.0732193
HITMAN	0.0729434
chun	0.0729059
"John Martorano"	0.072853
LeFave	0.0721533
Kalejs	0.0719559
leeson	0.0717434
Carruth	0.0716469
Skakel	0.071538
Imelda	0.070738
SNPs	0.0705319
"Michael Skakel"	0.0704398
"Maturino Resendez"	0.0703409
assassin	0.070239
Lugo	0.0701876
"David Graham"	0.0700238
guardsmen	0.0698963
Siripongs	0.0695177
Lileikis	0.0690415
Laudor	0.0688727
Martorano	0.0687906
Hiett	0.0686654
Lawler	0.0684596
illegals	0.068074
"Mark O. Barton"	0.0674655
Villanueva	0.0674307
watchman	0.0674098
wrongdoer	0.0673564
Karr	0.0672021
Papon	0.0667768
al-Megrahi	0.0662477
"Louise Woodward"	0.0662202
trestle	0.0661643
McDuff	0.0661135
Sithole	0.0657274
Bhutto	0.0654797
mutineer	0.065469
Halloran	0.0653521
Shipman	0.0653491
aldermen	0.0652201
Klansmen	0.0651777
Gravano	0.06509
Alves	0.0650489
ringleader	0.0646033
"one of the boys"	0.0645951
skinhead	0.0645551
co-defendants	0.0644481
Einhorn	0.0643658
felon	0.0642103
Elliot	0.0640096
Unabomber	0.0639227
Luciano	0.0639224
"Raul Salinas"	0.0637194
Yosef	0.0636493
informer	0.0636326
Hirschfeld	0.0634329
Steele	0.0634264
"Willie Horton"	0.0631811
Faget	0.0630402
Hatfield	0.0630229
T.J	0.0629268
Manbar	0.0628499
"Holy Spirit"	0.0628155
Meskini	0.0627136
Winkler	0.062709
Ressam	0.0626348
McVeigh	0.0622343
robber	0.0621728
saboteur	0.0621492
Schwarz	0.0621072
Alfonso	0.061954
"Abdullah Ocalan"	0.061863
"Imelda Marcos"	0.0616255
Kimeses	0.0616163
Kimes	0.0614886
Lazarenko	0.0611759
Julius	0.0610095
Mladic	0.0605737
Boesak	0.0605683
Sakic	0.0604159
Craxi	0.0603956
Stayner	0.0602486
arsonist	0.0602109
Hofer	0.0599469
"intelligence agent"	0.0598916
Ruelas	0.059524
Schaffer	0.0595141
Ince	0.0594511
Sacco	0.0593574
"drug lord"	0.0592383
Mease	0.0592154
accomplice	0.0591991
"Silvio Berlusconi"	0.0591461
gunrunning	0.0590805
assailant	0.0590659
Keating	0.0588379
"Russell Henderson"	0.0588303
"foul play"	0.0587296
Combs	0.0587275
Kaczynski	0.058723
Mattysse	0.0586514
"T cell"	0.0584011
Gutman	0.058269
"Bosnian Croat"	0.0582208
Nikitin	0.0582046
abuser	0.0581832
Giacchetto	0.0581049
Jenoff	0.0580685
Trie	0.0580359
rustler	0.0579985
Echols	0.0579744
Kodikian	0.0578405
McWilliams	0.0577923
Salvadoran	0.0575629
Bakaly	0.0575266
twenty-eight	0.0575154
Symington	0.0575024
"engine failure"	0.0573629
"Susan McDougal"	0.0573415
"intelligence analyst"	0.0572689
))
("Angel Pena" (desc 1923.71) (sims
"Paul LoDuca"	0.255744
"Alex Cora"	0.229863
"Chad Kreuter"	0.228118
"Paul Konerko"	0.202161
"Todd Hundley"	0.197225
"Dave Hansen"	0.194837
"Trenidad Hubbard"	0.190822
"Paul Bako"	0.188935
"Matt Luke"	0.188214
"Chris Widger"	0.18623
"Adrian Beltre"	0.183325
"Gregg Zaun"	0.182091
"Onan Masaoka"	0.180595
"Mitch Meluskey"	0.178952
"Eddie Taubensee"	0.176504
"Bengie Molina"	0.175259
"Todd Pratt"	0.171942
"Bruce Aven"	0.171756
"Bobby Estalella"	0.171391
"Mike Judd"	0.170892
"Devon White"	0.161414
"Tom Lampkin"	0.157381
"Damian Miller"	0.154894
Lankford	0.152645
"Wilton Guerrero"	0.152236
"F.P Santangelo"	0.151981
"Jose Vizcaino"	0.150658
"Kevin Elster"	0.148152
"Matt Walbeck"	0.148039
"Tony Eusebio"	0.146328
"Einar Diaz"	0.143426
"Brook Fordyce"	0.143033
"Jamie Arnold"	0.142812
"Derrek Lee"	0.142505
Higginson	0.139787
"Jeff Conine"	0.13862
"Todd Hollandsworth"	0.138452
"Warren Morris"	0.135271
"Joe McEwing"	0.134817
"Gary Sheffield"	0.13476
"Eric Karros"	0.133729
Cirillo	0.133678
"Russ Johnson"	0.13367
"Bubba Trammell"	0.132169
"CARLOS HERNANDEZ"	0.131307
"Jason Kendall"	0.130092
"Brent Mayne"	0.129578
"Pat Burrell"	0.129036
"Mike Lieberthal"	0.128828
"Raul Mondesi"	0.127831
"Kelly Stinnett"	0.126913
"Preston Wilson"	0.125607
Kreuter	0.125543
"Carlos Lee"	0.124975
"Mike Lowell"	0.123213
"Tyler Houston"	0.122362
"Sandy Alomar"	0.120778
"Charles Johnson"	0.120551
"Brad Penny"	0.120178
"Jason Varitek"	0.120114
"Scott Hatteberg"	0.120033
"Raul Ibanez"	0.119505
"Eric Young"	0.119482
"Rondell White"	0.1194
"Craig Counsell"	0.119277
"Mike Sweeney"	0.119275
"Erubiel Durazo"	0.118584
"Darrin Fletcher"	0.118395
"Eric Gagne"	0.117743
Renteria	0.117696
"Rafael Furcal"	0.117138
"Javy Lopez"	0.116834
"Alex Gonzalez"	0.116776
"Danny Bautista"	0.116404
"Jim Leyritz"	0.115136
"John Vander Wal"	0.114802
"Terrence Long"	0.112978
"Matt Franco"	0.112978
"Mark Kotsay"	0.112723
"Jorge Fabregas"	0.111481
Hundley	0.111409
"Jason Giambi"	0.111134
"Bill Haselman"	0.110989
"Phil Nevin"	0.110236
"Eric Owens"	0.109803
Burnitz	0.109634
"Juan Castro"	0.108955
"Ron Coomer"	0.107673
Pavano	0.107349
"Mark Grudzielanek"	0.10717
"Mike Scioscia"	0.106684
"Carl Pavano"	0.106385
"Jose Guillen"	0.106269
"J.T Snow"	0.105309
"Brad Ausmus"	0.10486
"Eric Chavez"	0.103778
"Ricky Ledee"	0.103551
"Greg Myers"	0.103468
Beltre	0.103407
"Karim Garcia"	0.103216
"Travis Lee"	0.103209
"Bobby Higginson"	0.103157
"Tony Batista"	0.103068
Nevin	0.102901
Tatis	0.102734
"Dan Wilson"	0.102555
"Eric Milton"	0.102542
"Lance Berkman"	0.102039
"Jose Vidro"	0.101792
Lawton	0.100562
"Dmitri Young"	0.100528
"Todd Greene"	0.100172
Rolen	0.100127
"Eddie Perez"	0.100117
Lieberthal	0.100002
"Scott Spiezio"	0.0999383
Alomar	0.0998643
"Daryle Ward"	0.0997995
"Alfonso Soriano"	0.0996818
"Ricky Gutierrez"	0.0996197
"Joe Randa"	0.0994689
"Wally Joyner"	0.0993758
"Rob Ducey"	0.0989307
"Mike Lamb"	0.0987717
"Ruben Rivera"	0.0984482
"Corey Koskie"	0.0984078
"Matt Lawton"	0.0976975
"Ruben Mateo"	0.0975787
"Dean Palmer"	0.0969356
Dellucci	0.0969252
Karros	0.0967886
Alicea	0.0963904
"Bobby Abreu"	0.0961936
"Adam Kennedy"	0.0955112
"Benny Agbayani"	0.0954792
"Marvin Benard"	0.0952976
"Sean Casey"	0.0951866
"Dave Mlicki"	0.0947954
Fullmer	0.0947397
"David Ortiz"	0.0946576
"Kevin Jordan"	0.0946435
"Kevin Young"	0.0940672
"Trot Nixon"	0.0934893
"Jin Ho Cho"	0.0931067
"Brian Johnson"	0.0927959
"Harold Baines"	0.0925168
"David Dellucci"	0.0925081
"Shawn Green"	0.0922224
Hollins	0.0920333
"Aaron Boone"	0.0919489
"Scott Rolen"	0.0918626
"Juan Encarnacion"	0.0918048
Aurilia	0.0917374
"Ed Yarnall"	0.0915794
"Bruce Chen"	0.0914798
"Luis Lopez"	0.0912965
"Deivi Cruz"	0.0910178
"Keith Lockhart"	0.0909364
Veras	0.0906031
"Todd Helton"	0.0905901
"Cliff Floyd"	0.0905545
"Rico Brogna"	0.0903299
"Jeff Weaver"	0.0902082
"Bobby Bonilla"	0.090147
"Brian Daubach"	0.0900964
"Henry Rodriguez"	0.0900617
"Richie Sexson"	0.0899014
"Damian Jackson"	0.089815
"Brett Hinchliffe"	0.0896901
"Marquis Grissom"	0.0894931
Abreu	0.089486
"Odalis Perez"	0.089201
"Darren Dreifort"	0.0890555
"Geoff Jenkins"	0.0890428
Beltran	0.0882337
Elster	0.087946
McGriff	0.087776
"Miguel Tejada"	0.0877506
"Roger Cedeno"	0.0876413
"Jesus Sanchez"	0.0875051
DeShields	0.08718
"Cristian Guzman"	0.08708
Agbayani	0.0869819
"Wilton Veras"	0.0869755
"Moises Alou"	0.0867737
"Tom Goodwin"	0.0866329
"Joe Girardi"	0.0865046
"Jorge Posada"	0.0864931
"Tim Bogar"	0.086134
"Freddy Garcia"	0.0859937
"Peter Bergeron"	0.0858316
"Jeffrey Hammonds"	0.0857363
"Jay Payton"	0.0856923
"Ivan Rodriguez"	0.0856504
"Travis Fryman"	0.0854293
"Mike Piazza"	0.085428
"Manny Legace"	0.0852678
Batista	0.085247
"Dante Bichette"	0.0850092
"Gabe Kapler"	0.0849191
))
(Angela (desc 7778.31) (sims
Eileen	0.129299
Patricia	0.113005
JoAnne	0.112959
Stephanie	0.111732
Maureen	0.109726
Rebecca	0.109585
Pauline	0.10951
"Azizah Ismail"	0.109486
Kathy	0.108704
Olga	0.104268
Kristin	0.102118
Patti	0.100659
Dorothy	0.0996034
Josephine	0.0980941
Vicki	0.0980253
Doris	0.0977928
Liz	0.0975355
Nancy	0.0969649
Marlene	0.0965491
Jacqueline	0.0965134
Phyllis	0.0964703
Brenda	0.0963809
alicia	0.0957744
Polly	0.0956355
Debbie	0.0949113
Rachel	0.0937936
Pam	0.0925332
Margaret	0.0915314
Lori	0.091453
Susan	0.0911874
Beverly	0.0909448
Marian	0.09059
Jackie	0.0899126
Christine	0.0897469
Carolyn	0.0896725
Diane	0.0895972
Tracey	0.0895417
Tina	0.0893977
Suzanne	0.0888631
Edith	0.0888219
Julia	0.0887767
Miriam	0.0885126
Kathleen	0.0885083
Irina	0.0883784
Shirley	0.0881527
Julie	0.0880297
Dora	0.0877525
Peggy	0.08771
Terri	0.0871197
Lynne	0.0870411
heather	0.0867087
Sophie	0.0866501
Kimberly	0.0865043
Lisa	0.08635
Linda	0.086305
Jenny	0.0859974
ANN	0.085784
Cathy	0.0850406
Karen	0.0837998
Frances	0.0836421
Jennifer	0.0834261
Nora	0.0832135
Karenna	0.0825208
Sonia	0.0822641
Sylvia	0.0822095
Marisleysis	0.0820839
Juanita	0.0820807
Carrie	0.0817455
"Karenna Gore Schiff"	0.0816089
Laura	0.0815542
Rita	0.0813709
Carol	0.0811109
Jill	0.0810721
Helen	0.0808802
Cindy	0.0807459
colleen	0.0807366
Catherine	0.0805882
Melanie	0.0805345
Maria	0.0799635
Katherine	0.0797294
Sandra	0.0792288
Anne	0.0791388
Cheryl	0.0790306
Marion	0.078856
Sarah	0.0788288
Beth	0.0785109
Eleanor	0.0784689
Emily	0.0784114
Connie	0.0783701
Hilary	0.078324
Evelyn	0.0782672
Jessica	0.0781745
Shannon	0.0781509
Elaine	0.078114
Gail	0.0779213
Lois	0.077856
Michele	0.077663
Lydia	0.0775455
Millie	0.0775294
becky	0.0772924
Camille	0.0770878
Audrey	0.0769599
Olivia	0.0767881
Esther	0.0766685
Cherie	0.0763299
Janet	0.0763064
Teresa	0.0760605
Caroline	0.0758931
Valerie	0.0756101
Annie	0.0755477
Agnes	0.0752929
Kate	0.0751966
Renee	0.0749934
Theresa	0.074976
Hadassah	0.0749214
Barbara	0.074876
anna	0.0747841
Alice	0.0742679
Erica	0.074079
Natalie	0.0735105
Heidi	0.0729109
Ellen	0.0728751
Deborah	0.0727199
Denise	0.0723553
Andrea	0.0723153
Stella	0.0714705
Laurie	0.0710666
Martha	0.0708416
Beatrice	0.0707872
Donna	0.0706284
Mary	0.0706197
Melinda	0.0704232
Marie	0.0703986
Debra	0.0703965
Clara	0.0703389
Sara	0.0703221
Nina	0.0699766
Tipper	0.0699253
Trixie	0.0697743
Christina	0.0697122
Alexandra	0.0696247
Dolores	0.0692859
Melissa	0.0691729
gloria	0.0689034
Marilyn	0.0687188
Leah	0.0687049
ISABEL	0.0686883
Annette	0.0686556
Mona	0.0684974
Jenna	0.0681017
Samantha	0.0675197
Megan	0.0675132
Robin	0.0671877
Jane	0.0671477
Claudia	0.067139
Elizabeth	0.0669534
Ethel	0.0668796
Rhonda	0.0663902
Elena	0.0663831
"Barbara Bush"	0.0661679
Marcia	0.0658461
Thelma	0.0654682
Judith	0.0654535
Naomi	0.065203
Betty	0.064624
Marta	0.0644159
Katie	0.0642437
Kay	0.0641511
Susie	0.0639297
Claire	0.0637588
Lucia	0.0633506
Joan	0.0633361
Elisabeth	0.0631559
Janice	0.062999
Jeanne	0.0629491
Sally	0.0621514
Pamela	0.0619087
Nicole	0.0617984
Lynn	0.0613374
Monique	0.0610727
hazel	0.0608753
Amy	0.0608613
Sheryl	0.0608487
Lucy	0.0606913
Vera	0.0605949
Rosie	0.0605603
Judy	0.0604542
Toni	0.0603428
Hannah	0.060248
Nikki	0.0602282
Louise	0.0601148
Betsy	0.0600969
Meredith	0.0600921
Ashley	0.0599774
"Leigh Ann"	0.059813
"Marisleysis Gonzalez"	0.0598054
Wanda	0.0597127
"Patsy Ramsey"	0.0596859
Stacy	0.0595152
Edna	0.0594525
))
("Angela Bassett" (desc 2964.06) (sims
"Janet McTeer"	0.13472
"Geoffrey Rush"	0.126187
"Thandie Newton"	0.120049
"Christopher Reeve"	0.118866
"Aidan Quinn"	0.117095
"Whoopi Goldberg"	0.116156
"Geena Davis"	0.114505
"Kathy Bates"	0.108925
"Famke Janssen"	0.107847
"Michelle Pfeiffer"	0.10271
"Taye Diggs"	0.101872
"Annette Bening"	0.100471
"Susan Sarandon"	0.0998358
"Jennifer Love Hewitt"	0.0984521
"Catherine Deneuve"	0.0975683
"Jimmy Smits"	0.097359
"William Hurt"	0.0968833
"Wesley Snipes"	0.0937432
"Halle Berry"	0.0936599
"Natasha Richardson"	0.0934995
"Keanu Reeves"	0.091864
"Omar Epps"	0.0912057
"Glenn Close"	0.0905711
"Natalie Portman"	0.0900825
"Meryl Streep"	0.0884776
"Alicia Silverstone"	0.0874521
"Patrick Stewart"	0.0861634
"Penelope Cruz"	0.085158
"Kim Basinger"	0.084694
"Matthew Broderick"	0.0846856
"Juliette Lewis"	0.0842655
"Melanie Griffith"	0.0836492
"Jennifer Lopez"	0.0831762
"Claire Danes"	0.0831031
"Emily Watson"	0.0829558
"Gene Hackman"	0.0826889
"Uma Thurman"	0.0825416
"Cybill Shepherd"	0.0825068
"Bill Pullman"	0.0816713
"Faye Dunaway"	0.0816283
"Ashley Judd"	0.0809408
"Jodie Foster"	0.0791425
"Vanessa Redgrave"	0.078188
"Michael Douglas"	0.0777018
"Anne Heche"	0.077484
"Sarah Jessica Parker"	0.0764382
"Meg Ryan"	0.0757418
"Demi Moore"	0.07492
"Kelsey Grammer"	0.0743421
"Richard Dreyfuss"	0.0742333
"Michael Caine"	0.0739795
"Lauren Bacall"	0.0734051
"Cameron Diaz"	0.0733769
"Sandra Bullock"	0.0733218
"Renee Zellweger"	0.0729875
"Robert Redford"	0.0726244
"Hilary Swank"	0.0722075
"Kevin Kline"	0.072191
"Tracey Ullman"	0.0717933
"Kirsten Dunst"	0.071325
"Mel Gibson"	0.0711301
"Stephen Rea"	0.0708876
"Matthew McConaughey"	0.0702039
"Helen Mirren"	0.0701234
"Sigourney Weaver"	0.0700184
"Reese Witherspoon"	0.0700134
"Brooke Shields"	0.0696749
"Carmen Electra"	0.0687219
"Jane Fonda"	0.068271
"Sally Field"	0.0681312
"Ralph Fiennes"	0.0678533
"Harvey Keitel"	0.0674589
"Cate Blanchett"	0.0673952
"William H. Macy"	0.0665881
"Harrison Ford"	0.0665751
"Julie Andrews"	0.0665444
"Bill Cosby"	0.066501
"Chow Yun-Fat"	0.0664705
"Robin Williams"	0.0664555
"Bernadette Peters"	0.0663569
"Leelee Sobieski"	0.0654487
"Angelina Jolie"	0.0653917
"James Earl Jones"	0.0652036
"James Woods"	0.0651958
"Jessica Lange"	0.0651233
"Cuba Gooding Jr."	0.0649786
"Robert Downey Jr."	0.0649037
"John Cusack"	0.0648566
"Christopher Walken"	0.0647073
"Sidney Poitier"	0.0646077
"John Leguizamo"	0.0644159
"Martin Lawrence"	0.064037
"Bette Midler"	0.063596
"Robert DeNiro"	0.0635113
"Camryn Manheim"	0.0631265
"Jeremy Irons"	0.0624164
"Barbra Streisand"	0.0623401
"Mark Wahlberg"	0.0623374
"Brendan Fraser"	0.0622673
"Rene Russo"	0.062083
"Sean Connery"	0.0620135
"Vanessa Williams"	0.0619928
"Richard Gere"	0.0618945
"Jamie Foxx"	0.0618072
"Ally Sheedy"	0.0614109
"Liam Neeson"	0.0612078
"Gwyneth Paltrow"	0.0611098
"Sela Ward"	0.0609406
"Paul Newman"	0.0609133
"Gregory Peck"	0.0607714
"Chevy Chase"	0.0607371
"Julia Roberts"	0.0603544
"Jack Lemmon"	0.059939
"Hugh Grant"	0.0588893
"Kevin Costner"	0.0587928
"Alec Baldwin"	0.0586708
Cher	0.058546
"Robert de Niro"	0.0584258
"Andre Braugher"	0.0581114
"Peter Fonda"	0.0578065
"James Van Der Beek"	0.0576925
"Jeff Bridges"	0.0575969
"Kirk Douglas"	0.0575663
"Danny Glover"	0.0573405
"Minnie Driver"	0.0573139
"Rob Lowe"	0.0570439
"Alanis Morissette"	0.056723
"Janet Jackson"	0.0562081
"Kevin Bacon"	0.0557001
"Nicolas Cage"	0.0555828
"Marlene Dietrich"	0.0554239
"Edward Norton"	0.0553568
"Nathan Lane"	0.0552713
"Alfre Woodard"	0.0552477
"James Cagney"	0.0551764
"Sylvester Stallone"	0.0549913
"Tobey Maguire"	0.0548834
Costner	0.0548412
"Janeane Garofalo"	0.0548214
"Val Kilmer"	0.0547303
"Helen Hunt"	0.0546373
"Joseph Fiennes"	0.0544765
"Eddie Murphy"	0.0543305
"Arnold Schwarzenegger"	0.0543239
"Ethan Hawke"	0.0538759
"Mia Farrow"	0.0538355
"Stanley Tucci"	0.0538285
"Joan Allen"	0.0537929
"Winona Ryder"	0.0535551
"Kevin Spacey"	0.05353
"Renee Fleming"	0.0534914
"Billy Crystal"	0.0530981
"Stevie Wonder"	0.0530898
"Brian Dennehy"	0.0530175
"Martin Sheen"	0.052888
"Lisa Kudrow"	0.0527087
"Kathleen Turner"	0.0526666
"Aretha Franklin"	0.0524419
"Dennis Quaid"	0.0523624
"Sharon Stone"	0.0521755
"W.C. Fields"	0.0521484
"Dan Aykroyd"	0.0521475
"Ben Affleck"	0.052028
"Denzel Washington"	0.0519295
"Burt Lancaster"	0.0519201
"Henry Fonda"	0.0515534
tumbleweed	0.0513157
"Ian Holm"	0.0512993
"Ian McKellen"	0.0511523
"Danny DeVito"	0.0511388
"Dame Judi Dench"	0.0508214
"Jon Voight"	0.0507568
"Judi Dench"	0.0506547
"Spencer Tracy"	0.0506431
"Jennifer Aniston"	0.0503906
"Lana Turner"	0.0503134
"Holly Hunter"	0.0503117
"Robert Duvall"	0.0499863
"Pierce Brosnan"	0.0496765
"Johnny Depp"	0.0496359
"Tom Hanks"	0.0495197
"Warren Beatty"	0.0494081
"John Travolta"	0.0493897
"Brenda Blethyn"	0.0491547
"Roberto Benigni"	0.0491065
"Calista Flockhart"	0.0490676
"James Caan"	0.0488928
"Vivien Leigh"	0.0487774
"Bruce Willis"	0.0486341
"Drew Barrymore"	0.0485862
"Elizabeth Taylor"	0.0485216
"Oliver Platt"	0.048371
"Sean Penn"	0.0482503
"Samuel L. Jackson"	0.048087
"Tommy Lee Jones"	0.047799
"Salma Hayek"	0.0477705
"Kenneth Branagh"	0.0477586
"AL PACINO"	0.0477308
"Garry Shandling"	0.0476963
"Luther Vandross"	0.0476066
))
(Angelenos (desc 1419.68) (sims
Bostonians	0.102116
Chicagoans	0.0896491
dieters	0.0864299
Hawaiians	0.084718
Muscovite	0.0829704
Parisian	0.0822945
"San Franciscans"	0.0820495
"Southern Democrats"	0.0809842
"New Jerseyans"	0.0788721
"British people"	0.075573
Ohioan	0.0730368
theatergoer	0.0694725
Floridian	0.0690492
"New Democrats"	0.0689866
passersby	0.0674864
Atlantans	0.0663918
worshiper	0.0663905
Iowan	0.0646115
drugmakers	0.0642685
filmgoers	0.064208
Londoner	0.0640918
Italian-Americans	0.0638898
"music lover"	0.0616949
Quebecers	0.0609979
"New Englander"	0.0596086
Baptists	0.0594558
adoptees	0.0592678
Irishmen	0.0592297
celebrant	0.0590862
beachgoers	0.0587111
moviegoer	0.0584617
"Congressional Republicans"	0.0580937
worshipper	0.0574498
"Southern Baptists"	0.0574371
"small farmer"	0.057019
Creationists	0.0566238
Mississippian	0.0562002
Beijingers	0.0557165
"North Carolinian"	0.0556301
e-tailers	0.0550808
hotspots	0.054903
looker	0.0547487
"foreign officials"	0.0546146
Latvians	0.0545739
"American Jews"	0.0545303
townspeople	0.0544188
earthling	0.0536218
Minnesotan	0.0534293
part-timer	0.0534132
wretch	0.0533887
Panamanian	0.0533816
"South Carolinian"	0.0532325
"supporting players"	0.0531604
passers-by	0.05308
conventioneer	0.0529045
sportswriters	0.0528194
gawkers	0.0522
"North Koreans"	0.0518157
"church member"	0.0513821
Picassos	0.0510769
preparers	0.0508428
Northerner	0.0507666
urbanites	0.0501551
"South Koreans"	0.0500679
Athenian	0.049988
Ecuadoreans	0.0496459
Tibetans	0.0494165
celebs	0.04929
"sports fan"	0.0492462
out-of-towners	0.0490561
countrymen	0.0487871
Washingtonian	0.0487288
"Internet Service Providers"	0.0486554
townsfolk	0.0486353
"goose bumps"	0.04836
"Orthodox Jews"	0.0483319
Kassirer	0.0480404
transient	0.0480324
Vermonter	0.0478695
"shop assistant"	0.0477477
skeptic	0.047736
"big leaguer"	0.0472983
Southerner	0.0467753
"card holder"	0.0467262
Asian-Americans	0.0466965
Ukrainians	0.0466824
"Asian Americans"	0.0466784
congregants	0.0465597
weekender	0.0464627
Frenchmen	0.046055
mourner	0.0458089
"business traveler"	0.0456353
Cuban-Americans	0.0455337
fourth-graders	0.0455118
Hoke	0.0455117
cardholders	0.0452501
Berliner	0.0452183
"market watcher"	0.0450456
Navajos	0.0448868
aficionados	0.0448511
Ogilvy	0.044698
"Sierra Leonean"	0.0445498
"New Zealander"	0.0443894
handicappers	0.0438497
mainlanders	0.0437401
westerner	0.0437385
Missourian	0.0434176
Danka	0.0433837
Chinese-Americans	0.0430767
sightseer	0.0430513
"Cuban Americans"	0.0428609
reveler	0.042805
VCs	0.0427589
churchgoer	0.0427265
highflier	0.0424508
Slav	0.0424046
Theresa	0.0423753
techies	0.0423581
eighth-graders	0.0419675
lobstermen	0.0416643
newbies	0.0413916
Afrikaner	0.0413512
ratepayer	0.0409119
Serbians	0.0408307
panelist	0.0407651
farmworkers	0.0406748
miscreant	0.0405981
dot-coms	0.0405112
crazies	0.0404773
peacock	0.0404223
bondholder	0.0402961
"Iranian Jews"	0.0402357
Galindo	0.0401988
Stith	0.0401985
census-takers	0.0401924
sidebars	0.0401825
"viewing audience"	0.0400787
))
(Angelica (desc 1631.17) (sims
Lyn	0.123697
Kristin	0.0974362
JonBenet	0.0965707
Megan	0.0918487
Sheryl	0.0887034
Karenna	0.0850342
Stephanie	0.0839788
Valerie	0.083241
Brenda	0.0801896
Michelle	0.0777694
Nora	0.0777523
Dahmer	0.0775259
Jennifer	0.0770434
Kathleen	0.0764048
Julia	0.0763356
Leah	0.0760871
Phil	0.0758807
Liz	0.0752151
Juli	0.075173
Jessica	0.0750884
Lori	0.0724205
Marisleysis	0.0720262
Rita	0.0702206
Christine	0.070118
Elisabeth	0.0696816
Meg	0.0692169
Hani	0.068942
Jill	0.0688429
"Karenna Gore Schiff"	0.0687093
Jacqueline	0.0686837
Sarah	0.0685289
Moxley	0.0683915
Christina	0.0678635
Vanessa	0.0678246
Beverly	0.0674661
stepson	0.0671963
Caroline	0.0671399
Nancy	0.0669339
Biko	0.0669259
Andrea	0.0667617
Debra	0.066577
cubby	0.0663486
Amedure	0.0662524
Alexandra	0.0652549
Neulander	0.0651462
Debbie	0.0650355
Olga	0.0646669
"Michael Kennedy"	0.0644408
Yarmila	0.0641667
Emily	0.0634322
Polly	0.0632035
Hannah	0.0624887
Amanda	0.062111
Selena	0.0611942
Erin	0.0609711
Pam	0.060877
Julie	0.0607778
Ashley	0.0604622
Kenny	0.060221
FloJo	0.0599831
stepdaughter	0.0599192
heather	0.0594844
grandkids	0.0593231
JoAnne	0.0592738
Lisa	0.0592168
Evelyn	0.0589151
Sylvia	0.0584648
Tracey	0.0577376
Meredith	0.0574774
Mimi	0.0574008
Maude	0.0566813
Pamela	0.0566703
Rachel	0.0566151
Katie	0.0565066
Vicki	0.0563417
Barbara	0.0562813
Shannon	0.0562417
Binion	0.0559417
Beatrice	0.0558317
Doris	0.0557699
Webdale	0.0556889
Irina	0.0556687
Dudayev	0.0555989
Rebecca	0.0555729
Tina	0.0554314
Fahey	0.0554297
Natalie	0.0549634
Lydia	0.0548561
Sophie	0.0547988
Slepian	0.0547233
Abby	0.0544609
Jenna	0.0544346
Gaither	0.0543722
Jenny	0.0543633
Mira	0.0542817
Karen	0.0542264
Millie	0.0539565
Guerin	0.0535203
Trevor	0.05346
Peggy	0.0533707
"JFK Jr."	0.0531105
Olivia	0.0522554
Margaret	0.052179
Carol	0.0521692
Brandi	0.051846
B.J	0.0518381
"Adam Petty"	0.0518154
Eli	0.0517521
Devon	0.051663
Starovoitova	0.0515846
"JonBenet Ramsey"	0.0515843
Wynonna	0.0515131
quadruplet	0.0512685
Crockett	0.0511292
Carolyn	0.0509183
"Chelsea Clinton"	0.0508701
Cobain	0.0508658
Amy	0.0507749
Samantha	0.0503005
Vivian	0.0500268
colleen	0.0499678
alicia	0.0499206
Maria	0.0498041
Annie	0.0497956
Rushdie	0.0496139
Amber	0.0495844
Matthew	0.0494172
Lauren	0.0492609
Eileen	0.0492171
Benton	0.0491826
TARA	0.048983
Lucy	0.0489371
anna	0.0486946
Sabrina	0.0486921
Phyllis	0.0486522
Veronica	0.0482357
Alexis	0.0481102
Linda	0.0480647
Melanie	0.0480536
Erica	0.0480357
Ileto	0.048034
Patricia	0.0480312
Susannah	0.0479435
Angela	0.0477008
Sonia	0.0476864
Audrey	0.0476178
Barton	0.0475449
Susan	0.0474935
"shipwreck survivor"	0.0474869
Helen	0.0474823
Courtney	0.0474303
grandchild	0.0473117
Middleton	0.0473013
Diane	0.0472544
Johnny	0.0471803
Robin	0.0469421
Josh	0.0469166
Katherine	0.0468153
"John Kennedy"	0.0467615
Kimberly	0.0463726
Andrei	0.0461819
Lugo	0.0460879
Durwood	0.0459448
Martina	0.0457606
Arkan	0.0457219
Hamlin	0.0456881
Madeline	0.0456502
Laurie	0.0455614
"Favorite Trick"	0.0454076
triplet	0.0453981
Youk	0.0453263
Maya	0.0451398
Eleanor	0.0450935
Gerardi	0.0450612
Jacob	0.044804
"Marisleysis Gonzalez"	0.0447125
Marlene	0.0446585
Marie	0.0444382
Esther	0.0444148
Terrell	0.0443587
Nkabinde	0.0442056
Elaine	0.0441177
"John Kennedy Jr."	0.0440622
Brittany	0.0440056
Maureen	0.0438684
Marcia	0.0438243
Sara	0.0437675
Hurtado	0.0437523
Zoe	0.0437447
Steffi	0.0436138
Melissa	0.043578
Kimes	0.0434979
Kathryn	0.0433326
Bernhard	0.0433223
Jeeves	0.0432465
gloria	0.0432141
Christy	0.0431117
Judy	0.0430387
Judith	0.0429555
first-grader	0.0429188
))
("Angelina Jolie" (desc 4261.86) (sims
Jolie	0.216266
"Hilary Swank"	0.162754
"Jodie Foster"	0.13398
"Gillian Anderson"	0.127469
"Geoffrey Rush"	0.124421
"Minnie Driver"	0.121452
"Bridget Fonda"	0.111263
"Kim Basinger"	0.108947
"Chloe Sevigny"	0.105857
"Judi Dench"	0.105007
"Gwyneth Paltrow"	0.102626
"Annette Bening"	0.101391
"Jeremy Northam"	0.0982923
"Cameron Diaz"	0.0966341
"Toni Collette"	0.0960412
"John Travolta"	0.0959879
"Sarah Michelle Gellar"	0.0950858
"Julianne Moore"	0.0945425
"Cuba Gooding Jr."	0.0943118
"Janet McTeer"	0.0932069
"Joseph Fiennes"	0.0919636
"Nicolas Cage"	0.0905002
"Jude Law"	0.0901033
"Cate Blanchett"	0.0900469
"Melanie Griffith"	0.0897677
"Claire Danes"	0.0897315
"Frances McDormand"	0.0896022
"Robert DeNiro"	0.0895291
"Anthony Hopkins"	0.0868178
"Michael Clarke Duncan"	0.0860219
"Kelsey Grammer"	0.0851375
"Michael Douglas"	0.0849205
"Rupert Everett"	0.0845825
"Billy Bob Thornton"	0.0841436
"Ellen Burstyn"	0.0815821
"James Woods"	0.0810461
"Omar Epps"	0.0798825
"Jeremy Irons"	0.0792576
"Helen Hunt"	0.0792551
"Sidney Poitier"	0.0791627
"Meryl Streep"	0.077856
"Johnny Depp"	0.0777109
"Roberto Benigni"	0.0774359
"Kevin Spacey"	0.0774239
"Meg Ryan"	0.0758422
"Jim Carrey"	0.0751129
"Patricia Arquette"	0.073928
"Russell Crowe"	0.0737881
"Ian McKellen"	0.0734707
"Winona Ryder"	0.0727564
"Jon Voight"	0.0725734
Dench	0.0724882
"James Gandolfini"	0.0704359
"Geena Davis"	0.0689377
"Michael Caine"	0.0688917
"Catherine Keener"	0.0688833
"David Duchovny"	0.0688126
"Wesley Snipes"	0.0686536
"Bernadette Peters"	0.068326
"Michelle Pfeiffer"	0.0680155
"Nicole Kidman"	0.0678234
"PHILIP SEYMOUR HOFFMAN"	0.0673808
"Brenda Blethyn"	0.0664572
"Ally Sheedy"	0.066455
"Edie Falco"	0.0663514
"Natasha Richardson"	0.0659377
"Denzel Washington"	0.0654936
"Joan Allen"	0.0654456
"Angela Bassett"	0.0653917
"Christina Ricci"	0.0640081
"Bill Paxton"	0.0635555
"Giovanni Ribisi"	0.0632661
"Billy Crystal"	0.0632446
"Edward Norton"	0.0623146
"Pierce Brosnan"	0.0618876
"Dame Judi Dench"	0.0609822
"Vince Vaughn"	0.0607281
"Keanu Reeves"	0.059966
"John Cusack"	0.0597123
"James Cromwell"	0.0592199
"Leelee Sobieski"	0.0590117
"Gene Hackman"	0.0589194
"Juliette Lewis"	0.0583598
"John Lithgow"	0.0579433
"Richard Hatch"	0.0576202
"Sarah Jessica Parker"	0.057587
"Penelope Cruz"	0.0572277
"Hank Azaria"	0.0571151
"James Coburn"	0.0571137
"Ben Affleck"	0.0567397
"Robert Duvall"	0.0567162
"Goldie Hawn"	0.0565383
"Emily Watson"	0.0562153
"Vanessa Redgrave"	0.0560728
"Taye Diggs"	0.0560243
"James Van Der Beek"	0.0555843
"Martin Sheen"	0.0553909
Daylami	0.0553165
"Miguel Indurain"	0.0552241
"AL PACINO"	0.0551219
"Jon Stewart"	0.0550165
"Parker Posey"	0.0549573
"Susan Sarandon"	0.0545517
"Sela Ward"	0.0545138
"Jay Mohr"	0.0543094
"Bruce Willis"	0.0542313
"Jamie Foxx"	0.0538852
"Mel Gibson"	0.0538261
"Catherine Deneuve"	0.0534164
"Famke Janssen"	0.0532722
"Diane Keaton"	0.0532218
"Andre Braugher"	0.0531035
"Leonardo DiCaprio"	0.0527572
"Haley Joel Osment"	0.0525161
"Chow Yun-Fat"	0.0524793
"Dennis Franz"	0.0522953
"Ralph Fiennes"	0.051999
"Audra McDonald"	0.0516047
"Chevy Chase"	0.0515553
"Bette Midler"	0.0513693
"Demi Moore"	0.051365
"Nathan Lane"	0.0512332
"Albert Brooks"	0.0508263
"Alan Cumming"	0.0508151
"Arie Luyendyk"	0.0503707
"Reese Witherspoon"	0.0500733
"Matthew McConaughey"	0.0493376
"Sean Connery"	0.0492183
"Samuel L. Jackson"	0.0490848
"Joaquin Phoenix"	0.0490557
"Eddie Murphy"	0.048602
"Eddie Cheever"	0.0481732
"Neve Campbell"	0.0481542
"Christopher Reeve"	0.0480932
"Kathy Bates"	0.0479647
"Sigourney Weaver"	0.047737
"Calista Flockhart"	0.0476844
"Mark Wahlberg"	0.0471742
"Gary Sinise"	0.0471174
"Matt Damon"	0.0468754
swank	0.0466264
"Stephen Rea"	0.0465393
"Morgan Freeman"	0.0464877
"Chris Rock"	0.046038
"Glenn Close"	0.046019
Carrey	0.0459302
"Robert Downey Jr."	0.0457892
"Drew Barrymore"	0.0456334
"Sean Penn"	0.0456143
"Kevin Bacon"	0.0455675
"Halle Berry"	0.0454365
"Val Kilmer"	0.0453646
"William H. Macy"	0.0452429
"Lily Tomlin"	0.0450282
"Bette Davis"	0.0450225
"Tom Cruise"	0.0450154
"Seattle Slew"	0.0445992
"Liv Tyler"	0.0445033
Tanui	0.0444882
"Tom Hanks"	0.0444168
"Juan Montoya"	0.0443354
"Don Cheadle"	0.0441919
"Woody Harrelson"	0.0441513
"Hidetoshi Nakata"	0.0438373
"Charles Woodson"	0.0437909
"Christian Slater"	0.0437659
Melinda	0.0436323
"Chris Drury"	0.043451
"Ethan Hawke"	0.0433185
"Oprah Winfrey"	0.0432878
"Bjarne Riis"	0.0432573
"Jane Fonda"	0.0432076
"Richard Gere"	0.0431598
"Ashley Judd"	0.0430264
"Answer Lively"	0.0426467
Hepburn	0.0424791
Zeta-Jones	0.042331
"Brendan Fraser"	0.0421033
"Joe Mantegna"	0.0420616
"Billy Crudup"	0.0420571
"Harrison Ford"	0.0420138
"Faye Dunaway"	0.0417539
"Dylan McDermott"	0.0415542
"Robin Williams"	0.0414504
"David Spade"	0.0411982
"Michael J. Fox"	0.0411745
"Carmen Electra"	0.0406541
"Michael Andretti"	0.0405351
"Thunder Gulch"	0.0402747
"Koji Ito"	0.0402496
"Derrick Adkins"	0.0400167
))
(Angelo (desc 2265.96) (sims
Felipe	0.0897654
"John J. Gotti"	0.0891738
Augustine	0.0823288
"John Gotti"	0.0764077
Quentin	0.0705575
Malu	0.0687768
Ralph	0.0662839
Francisco	0.0654381
Macoris	0.0650026
Miguel	0.0619422
Shalala	0.0615352
Mustafa	0.060367
Ramon	0.0603031
Harold	0.0595856
Flanagan	0.0595764
Allchin	0.0590538
Gabriel	0.0586884
Luis	0.058233
Pablo	0.0579662
Mahmoud	0.0574508
Kyprianou	0.0573539
"Tony Soprano"	0.0573219
Paolo	0.0566603
Schell	0.05557
Joseph	0.0551421
Owen	0.0547666
Marc	0.054576
Jakob	0.0544075
Juma	0.053161
Michel	0.0526849
Steven	0.0525399
Andres	0.0524576
Vincent	0.0522887
Sumaye	0.0521967
Gerald	0.0506371
Guterres	0.0506199
"Juan Miguel"	0.0503496
Galvin	0.0503021
Vladimir	0.050022
Kremer	0.0497785
Almeida	0.049728
Schaeffer	0.0492939
Theo	0.0490519
Carlos	0.049027
Majko	0.0489939
Rodionov	0.0488939
Silas	0.0487798
Andre	0.0486559
Abbas	0.0486332
MCGEE	0.0486322
Iglesias	0.0485931
Joel	0.0480669
Laguna	0.0479149
Julian	0.047526
Phillip	0.0475059
Moratinos	0.0468229
LeBlanc	0.0467679
"Frederick Sumaye"	0.0467393
Fleischer	0.0466502
Luca	0.0465564
Brittan	0.0462155
Abdel-Meguid	0.0461668
Kornberg	0.0461371
Franz	0.0457993
Jayakumar	0.0456799
Kasoulides	0.045597
Zou	0.0453751
Fernando	0.0450875
"market watcher"	0.0448317
Alan	0.0447526
Anthony	0.0445987
kraut	0.0445404
Havelange	0.0445338
Andrei	0.0444398
Milo	0.0441909
Manuel	0.0441839
"Juan Miguel Gonzalez"	0.0440617
Brasil	0.0438079
Daft	0.0437879
Mario	0.0437694
Dumitru	0.0437063
Diego	0.0437028
Whitey	0.0435894
"de Charette"	0.0435768
Mortimer	0.0434148
Ikimi	0.0434098
Borges	0.0433578
Jorge	0.0430893
Sheng	0.043008
Rudman	0.0429764
Edberg	0.0429573
Brad	0.0429228
Azad	0.0427039
Posner	0.0425517
Stoneman	0.0425188
al-Sahaf	0.042426
Ronald	0.0423145
Johansson	0.0422557
Bildt	0.0421106
"Renzo Furlan"	0.0420564
Delahunt	0.0420383
Piot	0.0420013
Garber	0.0419838
"Earl Spencer"	0.0419597
Carl	0.0418957
Antonio	0.0417836
Bolger	0.0417594
Walter	0.0415255
Brett	0.0411717
Liam	0.0411157
Jose	0.041108
"Patsy Ramsey"	0.0410785
Stephen	0.0408964
"hit man"	0.0408818
Lipponen	0.0407357
Bruijn	0.0405978
Raymond	0.040553
Chao	0.0405528
Reimer	0.0405118
Fred	0.0404713
Berri	0.0404711
Ruggiero	0.04043
D.J	0.04036
Seth	0.0403102
Noel	0.0403007
Omar	0.0402298
Albert	0.0401026
Eric	0.0400574
Claude	0.0400402
))
("Angelo Peruzzi" (desc 1042.67) (sims
"Gianluca Pagliuca"	0.328518
"Kevin Hartman"	0.307396
"Drazen Ladic"	0.281001
"Fabien Barthez"	0.258923
"David Seaman"	0.256531
"Tom Presthus"	0.256382
"Kasey Keller"	0.246142
"Jorge Campos"	0.245902
"Peter Schmeichel"	0.230094
"Brad Friedel"	0.221152
"Zach Thornton"	0.216641
Taffarel	0.202958
"Briana Scurry"	0.19587
"Jose Luis Chilavert"	0.19112
"Mark Bosnich"	0.186891
"Tony Meola"	0.178575
"Walter Zenga"	0.159976
"Stephane Fiset"	0.157587
"Alessandro Del Piero"	0.155068
"Filippo Inzaghi"	0.144445
"Edgar Davids"	0.135846
"John Vanbiesbrouck"	0.134933
"Steve Shields"	0.132094
"Doug Pederson"	0.128586
"Tom Barrasso"	0.126524
"Richard Wright"	0.122114
"Todd Husak"	0.121501
"Mikhail Shtalenkov"	0.120148
"Chris Osgood"	0.118812
"Trevor Kidd"	0.110467
"Arturs Irbe"	0.109402
"Bobby Newcombe"	0.107565
"Roberto Baggio"	0.10517
"Grant Fuhr"	0.104923
"Erik Kramer"	0.101897
"Ty Detmer"	0.101322
"Tommy Salo"	0.100864
"Didier Deschamps"	0.100779
"Ryan Kealy"	0.100084
"Roman Turek"	0.0987658
"Zinedine Zidane"	0.0979192
Chilavert	0.0978596
"Fred Brathwaite"	0.0975906
"Felix Potvin"	0.0961526
"Ronnie Bradford"	0.0961444
"Fabrizio Ravanelli"	0.0953069
"Rob Johnson"	0.0943671
"Manny Fernandez"	0.0913612
"Yancey Thigpen"	0.0910526
goalkeeper	0.0909842
"Trent Green"	0.0908703
"Jarious Jackson"	0.0890579
"Mike Richter"	0.0886696
"Jocelyn Thibault"	0.087658
Schmeichel	0.0872258
"Dan Cloutier"	0.0864054
Torino	0.086133
"Tony Banks"	0.0855146
"Manny Legace"	0.083987
"Ulf Kirsten"	0.0839328
"Jim Harbaugh"	0.0838906
"Dave Brown"	0.0834759
"Gianluca Vialli"	0.0834562
"Bill Ranford"	0.0834175
"Norm Maracle"	0.0831029
"Sean Burke"	0.0827283
"Nikolai Khabibulin"	0.0824688
"Paul Abbott"	0.0819675
"Guy Hebert"	0.0813536
"Mike Vernon"	0.0811919
"Charlie Batch"	0.0806676
"Travis Hall"	0.0806339
"Damian Rhodes"	0.0799943
Piacenza	0.0799709
"Del Piero"	0.0799448
"Mark Gardner"	0.0793084
"John Grahame"	0.0792622
"Glenn Foley"	0.0778283
"Ernie Irvan"	0.0771149
"Hao Haidong"	0.0769096
"Jarvis Turner"	0.0765053
"Curtis Joseph"	0.0763654
"Alan Henderson"	0.0763461
"Jason Dickson"	0.0759415
"Brad Johnson"	0.0758639
"Karim Abdul-Jabbar"	0.0751816
Baggio	0.0751243
"Jason Sehorn"	0.0751169
sweeper	0.0750972
"Dave Wohlabaugh"	0.0748132
"Omar Olivares"	0.0743333
"William White"	0.0742734
Ince	0.0739473
"Russ Ortiz"	0.0739203
"Michel Platini"	0.0737301
"Michelle Akers"	0.0736305
Cagliari	0.0730173
"Christian Vieri"	0.0728518
Tudor	0.0720702
"Drew Bennett"	0.071663
"Jamie Moyer"	0.0711966
"Jozef Stumpel"	0.0711498
"Paul Caligiuri"	0.0708487
"Olaf Kolzig"	0.0706196
"Chris Chandler"	0.0703124
"Everett McIver"	0.0702361
Rosenborg	0.0701498
"Rob Tallas"	0.0697532
"Ron Tugnutt"	0.0694389
"Chris Weinke"	0.0691915
"Todd Stottlemyre"	0.0689934
Tapia	0.0689488
"Jamal Lewis"	0.0687641
"Larry Allen"	0.0684484
"Byron Dafoe"	0.0677023
"Jack McDowell"	0.0663184
"Jamie Storr"	0.0661208
"Mark Boucher"	0.0660258
Ranford	0.0652274
"Alec Stewart"	0.0650302
"Pete Schourek"	0.0648609
"Tony Graziani"	0.0648443
"Kevin Elster"	0.0643347
"Shawn Estes"	0.063554
"Carson Palmer"	0.0629715
"Carl Pavano"	0.0627446
"Jermaine Lewis"	0.0617269
"Francisco Cordova"	0.0613457
"Bret Saberhagen"	0.0609002
"BRIAN MEADOWS"	0.0607641
"Gary Brown"	0.0605961
"Alex Fernandez"	0.0604453
Gaudenzi	0.060396
"Kent Mercker"	0.0603379
"Gil Heredia"	0.0603202
"Rick Reed"	0.0602954
Romario	0.0599627
"Woody Williams"	0.0598766
"Vinny Testaverde"	0.0592936
"Michael Olowokandi"	0.0592403
"Mike Van Raaphorst"	0.0590483
"Tim Belcher"	0.0587788
"police lieutenant"	0.0586552
"Flozell Adams"	0.0586439
"Pete Harnisch"	0.0585617
Barrasso	0.0585234
ISTAT	0.0581271
"Marques Anderson"	0.0581146
"Odalis Perez"	0.0579976
"Lin Li"	0.0578461
"David Trezeguet"	0.0576996
"Brandon Granville"	0.0576918
"Steve Sparks"	0.0574676
"George Teague"	0.057368
"Rodney Peete"	0.0571846
"Luc Longley"	0.0570744
"Nelson Emerson"	0.0570516
"Laurent Blanc"	0.0569588
"Michael Irvin"	0.0569018
"Dan Gadzuric"	0.0568911
"Randy Velarde"	0.056836
"Jeff Blake"	0.0565124
"blast furnace"	0.0563527
"Robert Edwards"	0.056078
Aldair	0.0558085
"Jamey Wright"	0.0557746
Empoli	0.0557352
"Derrick Mayes"	0.0556309
Perugia	0.055576
playmaker	0.055504
"Jeff George"	0.0552652
"Jeff Fassero"	0.0552056
"Bafana Bafana"	0.0550945
"Kerry Collins"	0.0550235
"Keith Primeau"	0.0549703
"Chris Carpenter"	0.0549013
"Jamal Mashburn"	0.0548823
"Scott Mitchell"	0.0548093
"Larry Whigham"	0.0546662
"Bryce Florie"	0.0544119
"Mark Langston"	0.0543251
"Derek Plante"	0.0542584
"Pat Rapp"	0.054031
"John Burkett"	0.0539728
"Hu Weidong"	0.0538962
"Patrick Roy"	0.0538895
"Thierry Henry"	0.0538696
Healy	0.0537216
"Greg Ellis"	0.0536797
"Kevin Tapani"	0.0536081
"Thomas Haessler"	0.0535087
"Travis Knight"	0.0534602
"Todd Harvey"	0.0534527
"Brian McBride"	0.0534236
"John Fox"	0.0532253
"Kirk Rueter"	0.0531788
Conte	0.053156
"Ed Belfour"	0.0529942
"Jeff Weaver"	0.0529587
"Willie Clay"	0.0529163
))
("Angelo Taylor" (desc 1158.69) (sims
"Derrick Adkins"	0.265077
"Allen Johnson"	0.210495
"Gail Devers"	0.175228
"Charles Austin"	0.159955
"Marie-Jose Perec"	0.158493
"Frankie Fredericks"	0.141895
"Bruny Surin"	0.141272
"Irina Privalova"	0.139766
"Cathy Freeman"	0.134718
"Colin Jackson"	0.133651
"Gary Hall Jr."	0.130928
"Inger Miller"	0.13043
"Jon Drummond"	0.127695
"Ato Boldon"	0.126331
"Doug Walker"	0.124164
"Jearl Miles-Clark"	0.123659
"Dennis Mitchell"	0.121394
"Donovan Bailey"	0.120322
"Dara Torres"	0.119975
"Susanthika Jayasinghe"	0.119582
"Kim Batten"	0.117635
"Michael Johnson"	0.117286
Devers	0.11585
"Koji Ito"	0.115778
"Merlene Ottey"	0.112863
"Mark Crear"	0.108145
"Marion Jones"	0.108014
"Li Na"	0.107028
"Hicham El Guerrouj"	0.104907
"Tom Dolan"	0.104213
"Ricky Subagja"	0.101579
"Svetlana Masterkova"	0.0994463
"Maurice Greene"	0.0993368
"Oksana Kazakova"	0.0982586
"Jackie Joyner-Kersee"	0.0973992
"Alexander Popov"	0.0950739
"Linford Christie"	0.0933727
"Mary Slaney"	0.0932385
"Dan O'Brien"	0.0925637
"Carl Lewis"	0.0912051
"Jenny Thompson"	0.0908912
"Joe Hamilton"	0.0872839
"Regina Jacobs"	0.0871231
"Florence Griffith Joyner"	0.0865882
"Liu Limin"	0.0865681
"Jeff Hartwig"	0.0860985
"Maria Mutola"	0.0841509
"Picabo Street"	0.0839831
Boldon	0.0838813
"Haile Gebrselassie"	0.0817039
"Kieren Perkins"	0.0813035
"Thomas Stangassinger"	0.0812605
"Chen Lu"	0.0808544
"Christine Arron"	0.0793517
"Mark Richardson"	0.0760199
"Hiroyasu Shimizu"	0.0743443
"Hilde Gerg"	0.074293
"Lin Li"	0.0738511
"Amy van Dyken"	0.073016
"Gianni Romme"	0.0719528
"Shannon Miller"	0.0706767
"Renate Goetschl"	0.0706157
"Yu Zhuocheng"	0.0696996
"Kevin Young"	0.069585
"Daniel Kowalski"	0.0691091
"Dez White"	0.0684554
"Gary Hall"	0.0678171
"Irina Slutskaya"	0.0676003
"Wang Junxia"	0.0670374
"Huang Xu"	0.0665097
"Rexy Mainaky"	0.0663005
"Anjelika Krylova"	0.0660896
"Ben Johnson"	0.0653807
"Dominique Moceanu"	0.0647893
"Marina Anissina"	0.0644584
"Al Joyner"	0.0642294
"Fiona May"	0.063604
"Karch Kiraly"	0.063602
"Denis Pankratov"	0.0635286
"Noureddine Morceli"	0.0635077
"Alexei Urmanov"	0.0630046
"world record-holder"	0.0628982
"Dion Glover"	0.0621593
"Liu Guoliang"	0.0615841
"Wang Tao"	0.061333
"Chen Hua"	0.0610269
"Wang Yifu"	0.0608963
signees	0.0606985
"Simona Amanar"	0.0602873
Zabel	0.0601779
"Deon Hemmings"	0.0601639
"Katja Seizinger"	0.0594826
"Penny Heyns"	0.0593902
"Andrew Magee"	0.0588686
"Jeremy Wotherspoon"	0.0585005
"Guo Jingjing"	0.0584701
"Scott Goodyear"	0.0577743
hurdler	0.0576766
"Michelle Smith"	0.0571384
"Maria Butyrskaya"	0.0565219
"John Godina"	0.0565006
"Fatuma Roba"	0.0554835
"Gabriela Szabo"	0.0553485
Drummond	0.0553149
"Prime Timber"	0.0547968
"Alexei Nemov"	0.0547189
"Iwan Thomas"	0.0543604
team.	0.0537006
"Dong Jiong"	0.0532085
Redgrave	0.0532029
"Katarina Witt"	0.0530132
"Matt Kuchar"	0.0528368
"Jeremy Mayfield"	0.0526953
"Juha Kankkunen"	0.0524017
"Greg Foster"	0.0520031
"Mark Martin"	0.0516514
Joklik	0.0515967
"Matt Mieske"	0.0515025
Sautin	0.0510232
Ottey	0.0498063
"over @@@ meters"	0.0494086
"Wilson Kipketer"	0.0493456
"Hertha Berlin"	0.0489649
"Sonia O'Sullivan"	0.0489632
Kenseth	0.0489451
"Li Xuemei"	0.0488859
"Michael Klim"	0.0485217
"Didier Auriol"	0.0485157
"Dawn Staley"	0.0484205
"Claudia Poll"	0.0483877
Shuwei	0.0483823
"Jesse Owens"	0.0482353
"Anita Wachter"	0.0481782
"Wang Nan"	0.0481245
"Fu Mingxia"	0.0480845
"Sandra Voelker"	0.0479452
"Hermann Maier"	0.0476393
Bruijn	0.0472052
"Johnny Benson"	0.0469964
"Guangzhou Apollo"	0.0468025
"Deng Yaping"	0.0467155
Heyns	0.0466688
COUSINS	0.0462604
"Isolde Kostner"	0.0461909
"Nancy Lopez"	0.046086
"Felix Savon"	0.0457397
Popov	0.0455663
Artax	0.0455167
"Tara Lipinski"	0.0454525
"Craig Parry"	0.0453984
"Svetlana Khorkina"	0.045392
"Moses Tanui"	0.0449644
"Bjarte Engen Vik"	0.0448557
"Bobby Labonte"	0.0447972
"Gong Zhichao"	0.0446156
Zico	0.0444133
"Chen Gang"	0.0443565
"Li Jiajun"	0.0441603
Kipketer	0.0441548
"David Coulthard"	0.0439493
"Wang Chunlu"	0.0439299
Anees	0.0438996
"David Reid"	0.0438556
Lissouba	0.043666
"Jinan Taishan"	0.0434981
prelim	0.0434557
Hendrawan	0.0432696
"Elena Berezhnaya"	0.0432306
"Mia Audina"	0.0432051
"Sarah Hughes"	0.0429232
"Matt Harpring"	0.0429184
"Pavel Tonkov"	0.0427918
"Winning Colors"	0.0426696
"Li Ju"	0.0424959
"Joe Nemechek"	0.0421729
Tanui	0.042151
"Kim Taek Soo"	0.0421129
"Richard Burns"	0.0420876
"Susi Susanti"	0.0419973
"Stephen Davis"	0.0418842
"Chen Jing"	0.0416705
"Jeff Ward"	0.0414003
"Dale Jarrett"	0.041379
"Doug Christie"	0.0413608
"Favorite Trick"	0.041352
"Heike Drechsler"	0.0412008
"Kjetil Andre Aamodt"	0.0411993
"Desert Hero"	0.0411116
"C.J Hunter"	0.0407343
"Ge Fei"	0.0406963
Nicol	0.0403414
"Team USA"	0.0402829
"Ralf Schumacher"	0.0402033
"Heinz-Harald Frentzen"	0.0401278
"Martina Ertl"	0.0400165
"Daniel Komen"	0.0400043
))
(ANGELOS (desc 1818.24) (sims
Carollo	0.131386
Moratinos	0.121814
Guterres	0.106792
Siazon	0.10022
Azad	0.0989089
Dodik	0.0976846
Granic	0.0965697
Abdel-Meguid	0.0932841
Hamid	0.0925509
Kornberg	0.0907111
Arens	0.0891323
Bolger	0.0890903
Vasile	0.0886739
Singson	0.0878833
"Bill Skate"	0.0868187
Fernandes	0.0862545
Weinberg	0.0859265
Meguid	0.0858932
Constantinescu	0.0857324
Milbury	0.085429
Rodionov	0.0835747
Pickering	0.0829393
Cremins	0.0825763
Ruehe	0.0822907
Gaston	0.0819074
Insulza	0.0813818
Rifkind	0.0813671
Alderson	0.0812219
Pustovoitenko	0.0806236
"De Soto"	0.0797451
Luong	0.0794809
Ovitz	0.0792894
Sumaye	0.0792816
Icahn	0.0791315
Jayakumar	0.0791199
Banzer	0.0778052
Komura	0.0777293
Schuessel	0.0777001
Grachev	0.0776042
Ohlmeyer	0.0765272
Yandarbiyev	0.0758526
Hynes	0.0758026
Orban	0.0755726
"Mark Cuban"	0.0754853
Neulander	0.0754321
Checketts	0.0754285
Ikeda	0.0753433
Drabinsky	0.0753331
Prueher	0.0751819
"de Charette"	0.0751485
Trulock	0.0750356
Cowens	0.0749233
Nemtsov	0.0747654
prentice	0.074742
Gillick	0.0747217
Majko	0.0745157
Narayanan	0.07428
Lewises	0.0737397
Belo	0.0737255
Suarez	0.0735825
Bruton	0.0735123
Nzo	0.0732087
Klestil	0.072993
"Al Fayed"	0.072906
Phieu	0.0729011
"Brian Cashman"	0.0726818
Azizah	0.0726269
Tarrin	0.0724356
Rossello	0.0724019
Barshefsky	0.0723481
Schottenheimer	0.0719864
Hirschbeck	0.0718856
Vance	0.0718163
Scharping	0.0712842
Maldini	0.0712637
Stoneman	0.0710372
Ikimi	0.0709582
Surin	0.0708656
Napolitano	0.0708408
Bakaly	0.0705072
Ciampi	0.0704789
Ponciano	0.0704775
ROMNEY	0.0701329
Teresi	0.0701284
Sherrill	0.0696468
Soares	0.0695793
Buzek	0.0693704
McMullen	0.0692936
Shevardnadze	0.069275
Kyprianou	0.0691237
Kasoulides	0.0689155
Warshaw	0.0688612
Steinbrenner	0.0686318
Modell	0.0682836
Santer	0.0682131
Joklik	0.0681643
Blazevic	0.0681489
Ebersol	0.0681295
Mukora	0.0681284
Kato	0.0681
McGuinness	0.0680591
Kok	0.0680381
"Maung Aye"	0.0677801
Wolfensohn	0.0677479
Hodler	0.067731
Ota	0.0676974
Cem	0.0676345
Schell	0.0675863
Granik	0.0675226
DeFrantz	0.0673673
Stroyev	0.0670896
McGinnis	0.0669849
Wyly	0.0666966
Scalfaro	0.0666381
Axworthy	0.0666159
Neilson	0.0665125
Popovich	0.0664406
Lockyer	0.0663933
Tsvangirai	0.0662852
Schaeffer	0.0661226
Nebiolo	0.0660797
Beazley	0.0660222
Stoyanov	0.0659735
Sassa	0.0657836
Rothenberg	0.0657508
Brahimi	0.0656422
Newhouse	0.065573
Kraft	0.0654307
Dehaene	0.065414
Sharansky	0.0653477
Cashman	0.0653242
Cablevision	0.0653233
"Cox Communications"	0.0652572
Hirschfeld	0.0651128
al-Sahaf	0.0649097
Ruthardt	0.0648138
Wilhelm	0.0647767
Bogle	0.06477
"Bob McNair"	0.0647627
Koo	0.0646823
hodgson	0.0645605
"Salim Saleh"	0.0645581
Kesri	0.0645549
Severino	0.0644319
Holl	0.0644234
Kuchma	0.0643866
Ritter	0.0642497
Klima	0.0642416
Wasserstein	0.0641855
Luciano	0.0641837
"Cindy McCain"	0.0641447
Allchin	0.0638923
Condon	0.0638785
Manley	0.0638233
Markey	0.0637641
Schott	0.0637149
Aznar	0.0636748
Musa	0.0636279
Shareh	0.0635818
Meskini	0.0635537
Haskins	0.0635237
Izzo	0.0634972
Selig	0.0633935
Hoke	0.0633342
Hiddink	0.0633193
Podesta	0.0631752
Mehta	0.0631471
Hamad	0.0630972
Malan	0.063087
Djindjic	0.063076
Lundy	0.0628517
"Goran Persson"	0.0628378
Rongen	0.0627619
Reinsdorf	0.0627173
Nasrallah	0.062668
Alford	0.062449
Gibbs	0.0623727
"Jerry Jones"	0.062263
Deane	0.062246
Scruggs	0.0622189
Walesa	0.0621895
Gullit	0.0621403
Demps	0.0620482
Havel	0.0620423
Waigel	0.0620032
Baz	0.0619115
Lamberth	0.0618561
Spyridon	0.0618551
Silas	0.0617466
Ashrawi	0.0617276
Demaci	0.0617095
Zucker	0.061695
Chavalit	0.0616924
Khai	0.0616203
Iglesias	0.0616101
Alatas	0.0615834
Storin	0.0614727
Hine	0.0614682
Camdessus	0.0613039
Al-Faisal	0.061215
))
(anger (desc 87687.5) (sims
outrage	0.250146
frustration	0.24878
resentment	0.246792
bitterness	0.209183
rage	0.202364
sadness	0.197332
anxiety	0.192399
indignation	0.191718
hatred	0.1891
disgust	0.183758
fury	0.183148
fear	0.172244
grief	0.171639
discontent	0.171308
disappointment	0.1704
dismay	0.16752
emotion	0.16743
sorrow	0.157341
anguish	0.153151
confusion	0.152436
animosity	0.150194
despair	0.148822
tension	0.143951
regret	0.143479
hostility	0.142221
excitement	0.141157
distrust	0.140466
disbelief	0.139006
concern	0.138851
feeling	0.138089
pain	0.1373
dissatisfaction	0.136722
passion	0.134917
mistrust	0.133993
jealousy	0.133591
unease	0.131566
skepticism	0.130638
enthusiasm	0.129151
cynicism	0.128826
suspicion	0.128611
uncertainty	0.128133
protest	0.127372
panic	0.126638
desperation	0.126595
sentiment	0.126075
shock	0.125926
joy	0.125457
pride	0.124334
disillusionment	0.123657
guilt	0.121589
criticism	0.120612
horror	0.120529
displeasure	0.11881
nervousness	0.118197
apprehension	0.117356
sympathy	0.117316
loneliness	0.116863
insecurity	0.11642
rancor	0.11612
violence	0.115068
controversy	0.114673
shame	0.114492
worry	0.114343
remorse	0.114233
revulsion	0.113749
desire	0.113007
exasperation	0.112168
unrest	0.110769
bewilderment	0.109641
optimism	0.108576
prejudice	0.108477
outcry	0.106907
envy	0.106622
angst	0.105902
impatience	0.105608
embarrassment	0.1056
Distress	0.105429
unhappiness	0.105331
hate	0.104474
alienation	0.104441
consternation	0.103225
terror	0.102393
irritation	0.102314
antagonism	0.102209
astonishment	0.102063
discomfort	0.100788
alarm	0.100019
euphoria	0.0998759
paranoia	0.0994137
pessimism	0.0994125
jubilation	0.0993863
laughter	0.0987648
doubt	0.09759
compassion	0.0973243
affection	0.0972717
hysteria	0.0971579
ambivalence	0.096724
fervor	0.0964421
annoyance	0.0960593
rivalry	0.0958121
sense	0.0954327
furor	0.0953006
backlash	0.0946725
wariness	0.094348
nostalgia	0.0936417
turmoil	0.0929676
reaction	0.0928183
awe	0.0923127
friction	0.0922354
curiosity	0.0919744
uneasiness	0.0919424
"ill will"	0.0910885
helplessness	0.09092
anti-Semitism	0.0907928
satisfaction	0.0907291
ire	0.0904601
enmity	0.0903636
stress	0.0899487
apathy	0.0898323
longing	0.0893204
ignorance	0.0892722
recrimination	0.0892245
discord	0.0892015
elation	0.0889836
pressure	0.0885086
Exhaustion	0.088186
disagreement	0.0880359
Depression	0.0877353
resistance	0.087116
acrimony	0.0867794
hardship	0.0866084
greed	0.0864198
isolation	0.086243
conflict	0.086222
dread	0.0862056
disenchantment	0.0861509
yearning	0.0860955
puzzlement	0.0860599
scorn	0.085959
misery	0.0859489
admiration	0.0858575
rebellion	0.0857424
love	0.0856528
condemnation	0.0856325
amazement	0.0853309
happiness	0.0851283
disdain	0.0851005
boredom	0.0848616
indifference	0.0847273
uproar	0.0846916
instability	0.0846162
speculation	0.0846055
confidence	0.0844963
hunger	0.0844306
weariness	0.0843191
defiance	0.0836968
contempt	0.0826905
disapproval	0.0826792
grievance	0.0824704
humiliation	0.0824516
opposition	0.0818751
temper	0.0817423
nationalism	0.0817171
pleasure	0.0814016
misgiving	0.0813586
delight	0.0812735
racism	0.0811643
misunderstanding	0.0811556
Wrath	0.0809782
ridicule	0.0804151
intolerance	0.0800952
hope	0.0800128
"good will"	0.0798617
surprise	0.0798203
debate	0.079496
dissent	0.0794345
attitude	0.079184
volatility	0.0791411
loyalty	0.0790839
feud	0.0789017
determination	0.0787829
distaste	0.078708
humor	0.0786771
agony	0.0786257
suffering	0.0785662
trauma	0.0785626
pity	0.0784738
intensity	0.0783302
struggle	0.0777452
hopelessness	0.0776339
chaos	0.0773529
energy	0.0771208
bigotry	0.0770802
glee	0.0769087
interest	0.0768502
bickering	0.0761463
complaint	0.0760552
gloom	0.0759587
fascination	0.0759453
dispute	0.0759069
))
(angina (desc 3232.77) (sims
"congestive heart failure"	0.29089
"rheumatoid arthritis"	0.242442
Osteoporosis	0.238303
arthritis	0.237807
hypertension	0.229303
"high blood pressure"	0.22797
"multiple sclerosis"	0.217746
epilepsy	0.212402
heartburn	0.207636
"chest pain"	0.19272
osteoarthritis	0.192658
"Parkinson's disease"	0.191461
"heart failure"	0.18836
glaucoma	0.186069
migraine	0.184482
schizophrenia	0.183999
ulcer	0.183519
"cardiovascular disease"	0.182789
diabetes	0.182343
asthma	0.181516
Parkinson's	0.180681
"back pain"	0.174614
"heart disease"	0.171899
atherosclerosis	0.171203
"liver disease"	0.170549
nearsightedness	0.168504
"kidney disease"	0.158768
"heart condition"	0.157161
heartbeat	0.156992
anemia	0.156419
"heart attack"	0.155777
"cystic fibrosis"	0.154074
fibrillation	0.151814
"lung cancer"	0.149973
narcolepsy	0.149161
Alzheimer	0.148935
indigestion	0.148549
hemophilia	0.148262
"muscular dystrophy"	0.145785
pneumonia	0.140417
dementia	0.139167
"colon cancer"	0.137988
bronchitis	0.136817
emphysema	0.136464
shortness	0.135656
ADHD	0.13462
cataract	0.133811
nausea	0.13311
psoriasis	0.131712
diarrhea	0.131491
"manic depression"	0.131036
impotence	0.130285
als	0.126737
"mental disorder"	0.126204
hepatitis	0.125264
"brain tumor"	0.124885
leukemia	0.124637
ailment	0.123106
infertility	0.120016
allergy	0.119922
insomnia	0.119047
headache	0.118389
cholesterol	0.118304
lupus	0.116128
reflux	0.115751
Obesity	0.115029
"blood pressure"	0.114761
lymphoma	0.113657
hernia	0.113053
Depression	0.111263
acne	0.110956
syndrome	0.109613
"personality disorder"	0.108855
disorder	0.108671
melanoma	0.108429
"mental illness"	0.108372
"kidney stone"	0.107586
"hepatitis B"	0.107161
"anxiety disorder"	0.107151
dehydration	0.105464
myeloma	0.103769
dysfunction	0.103584
incontinence	0.102237
"asthma attack"	0.102183
illness	0.100752
"memory loss"	0.100507
"Lyme disease"	0.0999535
infection	0.0991641
"skin cancer"	0.0987972
Alcoholism	0.0979272
tuberculosis	0.0963123
constipation	0.0956284
"eye disease"	0.095532
arrhythmia	0.0935401
fever	0.0922096
autism	0.0906107
symptom	0.0898675
apnea	0.0875519
palpitation	0.0874258
"hot flash"	0.0872445
gout	0.086608
"cerebral palsy"	0.0857024
"morning sickness"	0.0837372
fatigue	0.0836547
"heroin addiction"	0.0836301
tumor	0.0828771
"blood clot"	0.082732
stomachache	0.0827308
relapse	0.0825545
flu	0.0823924
"food poisoning"	0.0823035
cirrhosis	0.0821512
"respiratory disease"	0.0821245
"skin disease"	0.0815887
Psychosis	0.081424
"risk factor"	0.0813307
disfigurement	0.0812904
gastroenteritis	0.0812488
"sexually transmitted disease"	0.0809314
ache	0.080587
malaria	0.0801736
hemorrhage	0.0800212
abnormality	0.0799497
Meningitis	0.0797148
baldness	0.0784057
inflammation	0.0779022
diarrhoea	0.0771246
hypothermia	0.0768372
vomiting	0.0767623
dyslexia	0.0765071
encephalopathy	0.0763368
impairment	0.0758572
malady	0.075752
gangrene	0.0754758
thyroid	0.0750831
trauma	0.0738942
"heat exhaustion"	0.073674
"atmospheric condition"	0.0734974
Tb	0.0731842
Exhaustion	0.0731266
"skin rash"	0.0723682
HIV	0.0722879
"health problem"	0.0720319
syphilis	0.071895
malformation	0.0718887
"dengue fever"	0.0716569
"liquidity problem"	0.0715327
influenza	0.0703336
prostate	0.0690286
"panic attack"	0.068895
complication	0.0682576
sunburn	0.0681507
"sore throat"	0.0681502
paralysis	0.0681405
anorexia	0.0678416
disability	0.0678193
aneurysm	0.0676848
seizure	0.0668032
trachoma	0.0666604
kidney	0.065459
frostbite	0.065341
eyesight	0.0652082
blindness	0.0650603
lesion	0.0648561
cramp	0.0647794
retardation	0.0647753
coughing	0.0634258
Dysentery	0.0631047
"cash crunch"	0.062771
abscess	0.0625855
"HIV/ AIDS"	0.0625131
mastectomy	0.0624091
"heart valve"	0.0623092
poisoning	0.0618045
Dengue	0.0616581
toxicity	0.0612773
"lead poisoning"	0.0612035
leprosy	0.0611956
blockage	0.0611084
"malignant tumor"	0.0605069
jaundice	0.0589367
"acquired immune deficiency syndrome"	0.0584264
"AIDS virus"	0.0582334
bifida	0.0582116
dizziness	0.0576983
"common cold"	0.0574281
"drug addiction"	0.0573433
swelling	0.0570015
encephalitis	0.0569423
gallstone	0.0568607
bladder	0.0567407
cough	0.0566432
"upset stomach"	0.0564941
subsidence	0.0559798
deformity	0.0558778
"bipolar disorder"	0.0558121
sickness	0.0554543
malnutrition	0.0552159
myopia	0.0549835
polio	0.0549155
))
(angiogenesis (desc 2329.03) (sims
ovulation	0.120996
enzyme	0.119647
telomerase	0.11392
clotting	0.10944
p@@	0.107414
"blood vessel"	0.0991373
fibroids	0.0961595
photosynthesis	0.0929717
TCM	0.0804003
replication	0.0775542
hemophilia	0.0769414
serotonin	0.075857
SETI	0.0746076
receptor	0.0706479
thalidomide	0.0701527
hormone	0.0681197
"chemical reaction"	0.0680531
Parkinson's	0.0679585
regeneration	0.0676178
narcolepsy	0.0667886
gallstone	0.0641922
angiostatin	0.0637384
"growth hormone"	0.0620452
beta	0.0613907
Chemo	0.0612112
lifesaving	0.0589924
antibody	0.0585854
ADHD	0.0584569
platelet	0.0581553
als	0.0580904
weight-loss	0.0580287
estrogen	0.0579292
Obesity	0.0578086
angioplasty	0.0578001
acupuncture	0.0574379
mildew	0.0569029
"cystic fibrosis"	0.0563372
"artificial intelligence"	0.0562924
hGH	0.0560461
Osteoporosis	0.0545741
hypertension	0.0539687
Endostatin	0.0539053
inhibitor	0.0538273
clot	0.0536905
LASIK	0.0523052
corrosion	0.0512163
arthritis	0.0508806
microbe	0.0506849
"morning sickness"	0.0502435
"Chart Pattana"	0.0496787
fertility	0.0492703
glaucoma	0.0489242
stents	0.0487821
autism	0.0484717
nevirapine	0.0483548
winnowing	0.0479357
"human growth hormone"	0.0471164
Proton	0.0470082
flowering	0.0468054
tamoxifen	0.0464862
browning	0.0463293
"dog bite"	0.0462614
"nitric oxide"	0.0461419
infertility	0.0460404
detoxification	0.0459693
prostate	0.0457862
epilepsy	0.0456835
irradiation	0.0455227
genomics	0.0452635
"Parkinson's disease"	0.0452606
MGH	0.0451579
"bowling ball"	0.0447251
genetics	0.0445977
socialization	0.0442964
anti-inflammatory	0.043276
migraine	0.0431433
Eco-tourism	0.0430538
mutation	0.0430421
Deet	0.0430177
heartburn	0.0427994
dialysis	0.0427579
interferon	0.0427285
robotics	0.0422859
Immunology	0.0422798
homeownership	0.0422151
"cancer cell"	0.0420793
telephony	0.0416375
vasectomy	0.0415798
fertilization	0.0413384
Schering-Plough	0.0412588
"commercial law"	0.0411951
decompression	0.0411861
"alternative medicine"	0.0409712
ENBREL	0.0409229
Geron	0.0406047
Herceptin	0.0405351
differentiation	0.0403885
"atomic energy"	0.0401662
))
(angioplasty (desc 3750.67) (sims
bypass	0.199187
LASIK	0.174792
liposuction	0.159264
gallbladder	0.150343
augmentation	0.14972
Caesarean	0.142776
C-section	0.132116
radiotherapy	0.124391
mastectomy	0.121215
hernia	0.119365
vasectomy	0.117272
transplant	0.115963
surgery	0.10867
aneurysm	0.107582
chemotherapy	0.106242
"surgical procedure"	0.105972
"face lift"	0.105957
detoxification	0.102059
dialysis	0.101335
catheter	0.100646
"blood transfusion"	0.100538
"caesarean section"	0.0994765
"plastic surgery"	0.0994208
"magnetic resonance imaging"	0.0975589
biopsy	0.095621
"physical therapy"	0.0935084
hospitalization	0.0928309
"medical checkup"	0.0908592
"medical examination"	0.086971
fertilization	0.0849813
placebo	0.0843346
"medical check-up"	0.0840333
"cosmetic surgery"	0.0832518
TPA	0.0829702
ultrasound	0.0810709
transfusion	0.0805433
implant	0.0797099
stents	0.0795065
lifesaving	0.0787275
"artificial insemination"	0.078717
acupuncture	0.0779041
implantation	0.0769525
decontamination	0.0765776
amputation	0.0746604
"heart attack"	0.0741152
suction	0.0736128
resuscitation	0.0736085
Inoculation	0.0731627
psychotherapy	0.073133
cataract	0.0726214
"medical exam"	0.0716427
circumcision	0.0707486
spacewalks	0.0695349
"first aid"	0.0684456
flyover	0.0677846
anesthesia	0.067578
inpatient	0.066953
Oral	0.0665548
"electric shock"	0.066126
electrocardiogram	0.0655544
Chemo	0.065424
mammogram	0.0649466
transplantation	0.0641678
"chest pain"	0.0637761
circumnavigation	0.0637326
stent	0.0634631
sterilization	0.0634539
triage	0.0630231
CPR	0.0629184
gall	0.0625417
injection	0.0624944
"brain tumor"	0.0617886
MRI	0.0617334
outpatient	0.0616154
"lung cancer"	0.0613076
"eye disease"	0.0607589
"health check"	0.0605556
"blood test"	0.0603092
"heart failure"	0.0596382
incontinence	0.0595349
methadone	0.0589554
defibrillator	0.0586107
"heart valve"	0.0580175
angiogenesis	0.0578001
AZT	0.0575362
STD	0.0574919
bladder	0.0574634
antibiotic	0.0569906
Botox	0.056829
antacid	0.0566974
prostate	0.0564534
pneumonia	0.0560325
hormone	0.0558664
graft	0.0554081
mammography	0.0548312
hypnosis	0.0545793
"growth hormone"	0.0545437
physicals	0.0535537
pacemaker	0.0534446
"hearing aid"	0.0533669
"kidney stone"	0.0532334
inhaler	0.0531036
facelift	0.052977
"heart disease"	0.0528245
"low-fat diet"	0.0527926
"medical aid"	0.0525221
"fire drill"	0.052519
childbirth	0.0520046
"skin cancer"	0.0518912
radium	0.0517739
arrhythmia	0.0515245
angina	0.0514243
airdrop	0.0509667
"proxy fight"	0.0508834
endoscope	0.0507525
decoy	0.0500838
Mylar	0.0497842
"Brian Jones"	0.0496174
aspirin	0.0491044
checkup	0.049055
"nervous breakdown"	0.0484915
glaucoma	0.0480952
mammograms	0.0480689
autopsy	0.0478707
Urology	0.0478695
ventilator	0.0476739
cornea	0.0475812
ADHD	0.0474574
self-examination	0.0472526
leukemia	0.0469833
incision	0.0469084
"congestive heart failure"	0.0469061
Herceptin	0.0469043
Celebrex	0.0469017
melanoma	0.0467768
regimen	0.0466896
rebounders	0.0464863
"traffic control"	0.0463917
blockage	0.0463561
anesthetic	0.0463236
striptease	0.0462343
two-a-days	0.0460072
vaccination	0.045982
make-over	0.0459731
"cerebral palsy"	0.0458227
"cardiovascular disease"	0.045683
reassignment	0.0455654
estrogen	0.0455327
"achilles tendon"	0.045455
Endostatin	0.0454156
"sleeping pill"	0.0454055
dermatology	0.0453974
"bankruptcy protection"	0.0453645
chiropractic	0.0452462
"breast implant"	0.0451861
hypertension	0.044931
"Medicare HMO"	0.0448784
"liver disease"	0.0446981
initiation	0.0441695
stimulation	0.0438294
"colon cancer"	0.0435354
flotation	0.0435005
antihistamine	0.0434391
dieting	0.0431536
"anxiety disorder"	0.0431485
radiology	0.0430514
Paxil	0.0428609
medic	0.0427762
speller	0.0427151
x-ray	0.0426999
clot	0.042687
Cardiology	0.0426828
"cystic fibrosis"	0.0424988
infusion	0.0424883
fumigation	0.0423725
stopgap	0.0423175
extraction	0.0421791
"engine failure"	0.042092
"rehabilitation program"	0.0418499
"rheumatoid arthritis"	0.0417042
inhibitor	0.0416294
enhancers	0.0416039
"coronary artery"	0.041586
reconfiguration	0.04149
"blood donor"	0.0414845
dermatologist	0.0414713
"Type @"	0.0413988
overhauling	0.0411195
"internal medicine"	0.0411116
recuperation	0.0410545
Batista	0.040983
add-on	0.0409728
purification	0.0406173
"campaign for governor"	0.0405385
dyslexia	0.0405372
nitroglycerin	0.0404673
"day of rest"	0.0404473
pruning	0.0403761
blocker	0.0403612
makeovers	0.0402579
))
(angiostatin (desc 2795.11) (sims
Endostatin	0.268002
inhibitor	0.142617
interferon	0.131365
Taxol	0.122276
hemoglobin	0.108795
antibody	0.107351
Herceptin	0.102834
Erythropoietin	0.0966918
EPO	0.095636
telomerase	0.0954188
protein	0.0947794
nevirapine	0.0946002
peptide	0.0912311
Phentermine	0.0908538
leptin	0.0888412
AZT	0.0872487
Epogen	0.0869219
antifreeze	0.0867982
"human growth hormone"	0.0858587
dopamine	0.0849788
insulin	0.0816574
Celebrex	0.080244
enzyme	0.0797649
penicillin	0.0794766
tamoxifen	0.0793525
p@@	0.0753202
"National Missile Defense"	0.0727462
Vaccine	0.0711246
Pondimin	0.0696251
receptor	0.0679908
Prilosec	0.0638891
angiogenesis	0.0637384
"Kennewick Man"	0.0628571
VX	0.0623782
RU-@@@	0.0623177
lycopene	0.0619095
LIPITOR	0.0614373
hormone	0.0603189
estrogen	0.0602934
Alpha	0.0600775
"embryonic cell"	0.0597888
"bubonic plague"	0.0596607
Chemo	0.0594874
"growth hormone"	0.0589041
olestra	0.0571894
"hydrogen bomb"	0.0571796
capsaicin	0.0568958
antigen	0.0564961
toxin	0.0562635
Prozac	0.0560925
cellulose	0.0560916
starch	0.0557831
androstenedione	0.0557571
blocker	0.0557065
T-cells	0.0544315
gallstone	0.0532148
Claritin	0.0531791
radium	0.0528881
Avonex	0.0520509
cortisone	0.0516343
methamphetamine	0.0516064
NMD	0.0515588
nitroglycerin	0.0515469
raloxifene	0.0512398
"blood cell"	0.0510715
antioxidant	0.0509854
PSA	0.0506451
RNA	0.0505487
Ritalin	0.0505465
methane	0.0503922
isotope	0.0502546
viagra	0.0502238
psychotherapy	0.0501802
chlorine	0.0501215
fenfluramine	0.0500307
creatine	0.0499734
"atomic bomb"	0.0498
thalidomide	0.0492421
tritium	0.0489937
stanozolol	0.0489813
Lumbini	0.048661
als	0.0484152
"brain cell"	0.0483616
myopia	0.0481847
"parliamentary democracy"	0.0473311
"shock therapy"	0.0472919
Sarin	0.0470373
"atom bomb"	0.04691
ethanol	0.0466457
cirrhosis	0.0464909
Valium	0.046054
"food additive"	0.0458903
"UNIX operating system"	0.0456588
"chemical compound"	0.0456265
"T cell"	0.0454921
"fruit fly"	0.0451986
"legal instrument"	0.0451918
nitrogen	0.0451663
antibiotic	0.0450467
contraband	0.0449868
"woman's body"	0.0449826
ecstasy	0.0449139
CFCs	0.0446122
hydrogen	0.0444313
WPP	0.0444226
Redux	0.0443119
fungus	0.0441604
ENBREL	0.0441232
beryllium	0.0440926
herbicide	0.0438239
nicotine	0.0435267
GHB	0.0434917
thou	0.0432393
"Judah Folkman"	0.0431152
Jellyfish	0.0427205
"coal gas"	0.0426424
transporter	0.0424218
Zoloft	0.0422889
clot	0.0422553
"neutron bomb"	0.0419843
women.com	0.0418749
"weapon system"	0.0418215
"rocket engine"	0.0415015
additive	0.0414776
chloride	0.041257
A@XX	0.0412037
dioxin	0.0411224
glucose	0.0410796
"shipbuilding industry"	0.041015
amphetamine	0.0409903
carbon	0.0402703
good-neighborly	0.0402604
collagen	0.0402301
barter	0.0401642
))
("Angkor Wat" (desc 2361.72) (sims
Parthenon	0.111915
"Potala Palace"	0.110054
Chengde	0.0961003
Sphinx	0.0862734
"Summer Palace"	0.074994
"Taj Mahal"	0.0691198
"West Lake"	0.0666149
grotto	0.0663061
lamasery	0.0653882
Luxor	0.0653038
Monastery	0.0646766
"Last Supper"	0.0620632
nunnery	0.0605638
Rangoon	0.0605636
"Great Wall"	0.0596751
Sihanoukville	0.0595793
Mayan	0.05837
Acropolis	0.0581988
"Greek Revival"	0.0573536
"King Norodom Sihanouk"	0.0562043
Maya	0.0559565
"Forbidden City"	0.0552614
Kunming	0.0551673
Confucius	0.0549709
"Tibetan Buddhist"	0.0547045
Zhangjiajie	0.053734
"Palace Museum"	0.0527654
Bel	0.0527653
Luoyang	0.0512984
"U.S. Capitol"	0.0509834
Colosseum	0.0497142
Baalbek	0.0496123
"Memorial Hall"	0.0492712
cistern	0.0491346
Isis	0.0484455
"Lincoln Memorial"	0.0479768
"Temple Mount"	0.0470652
"Dhaka Stock Exchange"	0.046195
Stormont	0.0460729
"Tehran University"	0.0458803
"Suzhou Industrial Park"	0.0457863
"Robben Island"	0.0457615
ta	0.0457222
"Museum of Contemporary Art"	0.0454426
"tropical rain forest"	0.0453933
"Rockefeller Center"	0.0452273
Stonehenge	0.0451257
"Indiana Jones"	0.0450662
cloister	0.0450656
"Subic Bay"	0.0450433
Eco-tourism	0.0449235
"Public Theater"	0.0444258
Giza	0.0444008
"Sistine Chapel"	0.0443638
Inca	0.0442618
pharaohs	0.044229
Metreon	0.0441081
Kyoto	0.0440457
Pompeii	0.0439796
"Dianchi Lake"	0.0437737
"Hong Kong International Airport"	0.0435047
sanitarium	0.0433525
"Yad Vashem"	0.0432477
"Legend Group"	0.0430911
Cyberjaya	0.0430251
"building site"	0.0429976
"bomb site"	0.042968
"Museum of Natural History"	0.0429469
Xishuangbanna	0.0427466
SETI	0.0426472
Krishna	0.0425
"Qinghai Province"	0.0424637
statehouse	0.0423679
"Parliament House"	0.0423265
"Chinese Embassy"	0.0421448
townhouse	0.0418792
Subic	0.0417814
"Siem Reap"	0.0417414
"World Trade Center"	0.041398
exoticism	0.0413691
Zhengzhou	0.0412357
ZHOUSHAN	0.0410593
bio-diversity	0.0409932
"Qaidam Basin"	0.0406911
Vukovar	0.0405996
))
(angle (desc 45425.5) (sims
perspective	0.0903596
distance	0.0826183
"right angle"	0.0750893
"point of view"	0.0735964
speed	0.0725875
"vantage point"	0.0713666
"camera angle"	0.0695522
altitude	0.0652843
viewpoint	0.0642901
height	0.0640005
depth	0.0636096
velocity	0.061922
feet	0.0614011
direction	0.0600939
edge	0.0595636
location	0.0584955
spin	0.0580649
shape	0.0578693
color	0.0554971
timing	0.0554663
curve	0.0553792
temperature	0.0539472
diagonal	0.0532928
corner	0.0532295
twist	0.0530094
dimension	0.0523484
standpoint	0.05221
style	0.0519737
width	0.0517781
length	0.051434
size	0.0511697
image	0.0507444
trajectory	0.0505029
mindset	0.0497537
texture	0.0497145
aspect	0.0496433
moment	0.0495988
slider	0.0494491
quality	0.0486924
slant	0.0486409
intensity	0.0485487
pattern	0.0483823
thickness	0.0483347
rhythm	0.0482896
scenario	0.0481887
weight	0.0480213
spacing	0.0478331
rear	0.0476303
strength	0.0473688
wrinkle	0.0469722
configuration	0.0468896
circumstance	0.0466421
ball	0.0466271
variation	0.046553
stuff	0.0464377
attitude	0.0462195
combination	0.0456429
things	0.0454978
sequence	0.0454201
structure	0.0450783
trick	0.0448023
personality	0.0447804
subplot	0.0446153
frame	0.0444943
space	0.0444843
characteristic	0.0443973
situation	0.0443038
intersection	0.0441501
juxtaposition	0.0439941
hole	0.0439937
alignment	0.0439597
interpretation	0.0439065
frequency	0.0437668
density	0.0437109
arc	0.0435265
tone	0.0433521
"weather conditions"	0.0432529
measurement	0.043179
quickness	0.0431589
background	0.0431552
posture	0.043089
strategy	0.04285
tempo	0.0427593
placement	0.0424383
element	0.0423067
object	0.042293
slot	0.0422218
bottom	0.042155
balance	0.0421053
content	0.0420606
contour	0.0420412
setup	0.041781
material	0.0417113
Foot	0.0416231
possibility	0.0415723
taste	0.0412918
advantage	0.0412276
baseline	0.0412232
trait	0.0412103
technique	0.0411292
accent	0.040929
flavor	0.0408642
setting	0.0407836
dynamic	0.0407668
dosage	0.0407375
Chemistry	0.0406306
scale	0.0403866
habit	0.0403636
mile	0.0403364
opportunity	0.0403068
ramification	0.0403033
wavelength	0.0402711
option	0.0401962
coincidence	0.0401872
"free kick"	0.0401777
composition	0.0400396
))
(angler (desc 15902.1) (sims
Fishermen	0.138525
boater	0.129492
hiker	0.121493
fisherman	0.111143
skier	0.109273
birder	0.108345
surfer	0.100889
Hunter	0.0974824
golfer	0.0964112
shopper	0.0953682
traveler	0.0934558
enthusiast	0.0929613
climber	0.0926843
sportsmen	0.0903015
gardener	0.090298
"bird watcher"	0.087961
camper	0.085567
collector	0.084767
diver	0.0840543
winemaker	0.0813633
cyclist	0.0806824
moviegoer	0.0802084
homeowner	0.0800723
logger	0.0793456
beachgoers	0.0789563
sailor	0.0785105
kayakers	0.0780054
"sports fan"	0.0770816
bikers	0.0766947
gambler	0.0766874
genealogist	0.0765299
outdoorsman	0.0764365
tourist	0.0759172
theatergoer	0.0741184
snowmobilers	0.0735288
listener	0.0730999
vacationer	0.0730929
visitor	0.0728136
Reader	0.0727944
Beijingers	0.0727102
picnicker	0.0725747
athlete	0.0721022
swimmer	0.07192
hobbyist	0.0708806
rancher	0.0708345
"music lover"	0.0707594
rider	0.0706114
motorist	0.0705984
"home buyer"	0.069914
canoeist	0.0695271
youngster	0.0695092
Singaporean	0.0694038
filmmakers	0.069302
farmer	0.0692973
"business traveler"	0.0691511
"college student"	0.0688583
grower	0.068331
professional	0.0679557
naturalist	0.067899
educator	0.0677793
jogger	0.067413
fishing	0.0669777
user	0.0669642
gawkers	0.066932
adoptees	0.0668465
smoker	0.0668093
trader	0.0667997
conservationist	0.0664754
retiree	0.0663856
drinker	0.0661327
developer	0.065859
consumer	0.0658332
photographer	0.0657028
racer	0.0655398
trapper	0.0653985
balloonist	0.0651679
environmentalist	0.0649529
adventurer	0.0649351
buyer	0.0649284
"rock climber"	0.0644069
bird-watchers	0.0642502
firefighters	0.0639061
"scuba diver"	0.0637594
commuter	0.06364
folk	0.0636052
scientist	0.0633773
holidaymaker	0.0632108
musician	0.0629412
lover	0.0628203
teen-ager	0.0623683
schoolchildren	0.0621516
investor	0.0620414
"hockey player"	0.0620386
"job seeker"	0.061732
contestant	0.0616928
driver	0.0616711
participant	0.0615402
watcher	0.0614835
bettor	0.0614587
journalist	0.0614179
patron	0.0613111
attendees	0.0611563
volunteer	0.0609866
"New Yorker"	0.0606566
vintner	0.0606125
viewer	0.0603099
aficionados	0.0603065
"stamp collector"	0.0602988
"South Koreans"	0.0602862
Atlantans	0.0601116
"mountain climber"	0.0600497
filmgoers	0.0595892
gamers	0.0594878
exhibitor	0.0594623
trawler	0.0593598
westerner	0.059136
Californian	0.059117
backpackers	0.0590471
buff	0.0590203
lawmaker	0.0589521
skater	0.0589296
boomer	0.058815
sightseer	0.0588113
"property owner"	0.0587979
"small farmer"	0.0585066
Texan	0.0584955
lobstermen	0.0584229
artisan	0.0582524
gymnast	0.0582021
entrepreneur	0.0581929
biologist	0.0581851
Sportsman	0.0580836
clinician	0.0579628
diabetic	0.0579375
historian	0.0578627
"baby boomer"	0.0577538
teens	0.05774
woodworker	0.0575935
senior	0.0574555
Floridian	0.0573188
angling	0.0569731
Amateur	0.0569713
skydiver	0.0567649
caller	0.0565502
onlooker	0.0564012
conventioneer	0.0562155
migrant	0.0562054
politician	0.0560706
merchant	0.0559924
advertiser	0.0559784
Programmer	0.0558436
Cuban	0.0557611
"beer drinker"	0.0557491
practitioner	0.0554648
homebuyers	0.0554354
equestrian	0.0554352
poacher	0.0553988
adult	0.0553203
voter	0.0552716
admirer	0.0551739
trout	0.0551578
"elected official"	0.0551577
"business leader"	0.0551067
"business executive"	0.0550389
Parisian	0.0549682
marcher	0.0549376
exerciser	0.0549172
"senior citizen"	0.0548237
businessmen	0.054693
physician	0.0546303
pilot	0.0546005
foreigner	0.0545806
landowner	0.0543081
Mexican	0.0542576
villager	0.0542126
dieters	0.0541471
staffer	0.0541319
pilgrim	0.0541096
beekeeper	0.0540617
researcher	0.0540068
activist	0.0539048
passenger	0.0538631
seeker	0.0538011
seamen	0.0537048
writer	0.0536838
Canadian	0.0536146
aviator	0.053548
newcomer	0.0535399
snowboarders	0.0535292
teenager	0.0534883
astronomer	0.053475
Haitian	0.0534492
"young man"	0.0533398
"church member"	0.0532953
paddler	0.053236
churchgoer	0.0531496
"faculty member"	0.0530959
Taiwanese	0.0529904
rescuer	0.0528466
follower	0.0528466
))
(Anglican (desc 3496.33) (sims
Lutheran	0.307977
Methodist	0.233978
Orthodox	0.23287
Presbyterian	0.223979
Episcopalian	0.208001
"Orthodox Christians"	0.20422
Baptists	0.194001
pentecostal	0.161999
"Roman Catholic"	0.156573
Mormon	0.132782
Catholic	0.132546
evangelicals	0.122203
Baptist	0.120018
Protestant	0.119143
"Church of England"	0.0967039
Buddhist	0.090545
clergy	0.08742
Quakers	0.0837883
theologian	0.0785077
denomination	0.0733803
clergymen	0.071277
"Serbian Orthodox Church"	0.0701591
"Southern Baptist"	0.0694833
Quaker	0.0691666
"Shas Party"	0.0688972
atheist	0.0671405
"Macao Government"	0.0667702
"Greek Orthodox Church"	0.0662763
"Christian church"	0.0658868
"Orthodox Jews"	0.065489
diocese	0.06512
Moslem	0.0640609
non-Catholic	0.0615788
"National Council of Churches"	0.0607442
Synod	0.0595941
"Islamic Movement"	0.0589591
Copt	0.0577846
congregation	0.0576971
"Sunday school"	0.0573708
Armenians	0.0567742
"Russian Orthodox Church"	0.0544529
"Russian Communist Party"	0.0541083
Rook	0.0529654
"Islamic Resistance Movement"	0.0529033
"Reform Judaism"	0.0528994
"Protestant denomination"	0.0528918
"Episcopal Church"	0.0524731
"pressure group"	0.0522499
Hindu	0.0522132
unionist	0.0520042
"Presbyterian Church"	0.0514948
Almighty	0.0514449
"stamp collector"	0.0512858
believer	0.0512604
"Ulster Unionist Party"	0.0511089
Arab-Americans	0.050724
SDLP	0.0499506
Montenegrins	0.0491723
"Democratic Unionist Party"	0.0491716
"United National Independence Party"	0.0488888
"Board of Supervisors"	0.0486466
Chinese-Indonesians	0.0485844
IGC	0.0483946
auxiliary	0.0483591
Hezb-i-Islami	0.0480023
"Seamus Mallon"	0.0473003
Taiwanese	0.0469898
"JOHN FRIESZ"	0.0469015
"National Religious Party"	0.0468321
"Orthodox Church"	0.046477
"Coptic Christians"	0.0463262
"major power"	0.0463034
NDA	0.0461828
"Group of Seven"	0.0460876
churchgoer	0.0460579
"futures exchange"	0.0455048
laity	0.0452448
"department head"	0.0451034
"Olympic Council of Asia"	0.0450299
friar	0.0449492
"member nation"	0.0443964
meatpackers	0.0443463
scoutmaster	0.0440696
Anglo	0.0440143
"National League for Democracy"	0.0439835
"interim committee"	0.0438109
Taoist	0.0437884
"non-governmental organizations"	0.0437847
Archdiocese	0.0435989
"Roman Catholic Church"	0.0434898
"altar boy"	0.0434506
agnostic	0.0431262
"Supreme Council"	0.0427906
"Orange Order"	0.0422445
"Likud Party"	0.0419037
transsexual	0.0419027
"Cendant Corp."	0.0418414
"union worker"	0.0417847
"Organization of Islamic Conference"	0.0416886
"Southern Baptist Convention"	0.0415958
"David Trimble"	0.0415583
"place of worship"	0.0415438
CUF	0.0413832
"AIDS activist"	0.0413703
"Shiite Muslims"	0.0413342
congregants	0.0412857
"union member"	0.0412807
"bicycle race"	0.0410861
"Arab Parliamentary Union"	0.0408897
"chess player"	0.0408033
PCF	0.0406272
theocracy	0.0404538
Quebecers	0.0402984
"Civil Aviation Authority"	0.0402451
"Group of Eight"	0.0402257
))
(angling (desc 5419.98) (sims
fly-fishing	0.110794
boating	0.0753771
fishing	0.0716061
hiking	0.0643379
Bowling	0.0611477
angler	0.0569731
rowing	0.0568975
hunting	0.0565282
golfing	0.0558669
"rock climbing"	0.0549377
bicycling	0.0535494
shoo-in	0.0532675
gardening	0.0525202
bodybuilding	0.0523645
Yachting	0.0505567
mountaineering	0.0501447
motoring	0.0493893
Skating	0.0492285
"musical theater"	0.0482502
surfing	0.0472541
frontrunner	0.0464214
badminton	0.0463428
cycling	0.0451322
"lead underwriter"	0.0446027
Groscost	0.0440969
sumo	0.0434425
"inside track"	0.0430954
gearing	0.0423475
skiing	0.0407529
readying	0.0406745
Motorsports	0.0400523
))
(Anglo (desc 4002.5) (sims
Asian-American	0.199669
"African American"	0.192298
non-Hispanic	0.172892
"Orthodox Jewish"	0.16364
Anglos	0.157771
"Asian American"	0.14489
Mexican-American	0.134628
"Kosovar Albanian"	0.133927
Korean-American	0.125289
non-Jewish	0.123751
nonwhite	0.121652
"Irish Catholic"	0.117521
Chinese-American	0.103822
Asian-Americans	0.103566
"American Indian"	0.102166
"Israeli Arab"	0.101025
Okinawan	0.0994157
"Hispanic American"	0.098394
"native American"	0.0980696
"Puerto Rican"	0.0978094
Arab-American	0.0965015
Hasidic	0.0950753
Sephardic	0.0946194
"working class"	0.0945144
non-Indian	0.0942603
Hispanic	0.0934608
Inuit	0.0917484
Irish-American	0.0911337
Amish	0.0908737
Cuban-American	0.0891321
slain	0.0870905
non-Muslim	0.0869182
Italian-American	0.0860319
Younger	0.0850334
Maasai	0.0846242
Coptic	0.0833453
Japanese-American	0.0827884
"Asian Americans"	0.0822401
"French Canadian"	0.0815445
low-income	0.0780557
Hausa	0.0769439
"nearly @@@,@@@"	0.0763298
"roughly @@@,@@@"	0.075993
"Orthodox Christian"	0.0759393
Armenian	0.0759167
"North African"	0.0758975
Kosovar	0.0757381
Acadian	0.0756825
"Four million"	0.0753791
"more than @@@@"	0.0752709
Slavic	0.0752515
"nearly @ million"	0.0751017
Appalachian	0.0741688
"almost @@ million"	0.0735375
Catholic	0.0734661
"almost @@,@@@"	0.072583
Hmong	0.0710664
"upper class"	0.0708259
Korean	0.0706627
"Eastern European"	0.0699133
Latino	0.068772
"more than four million"	0.0683081
Hunky	0.067806
Irish	0.06772
Ibo	0.0677085
Eskimo	0.0676566
Quaker	0.0671954
"Roman Catholic"	0.0668883
health-conscious	0.0666105
Mayan	0.0663833
Polynesian	0.0659349
"over @.@ million"	0.0658772
Navajo	0.0658447
Tibetan	0.0656433
"Greek Cypriot"	0.0655735
over-@@	0.0649979
Downstate	0.0639206
"Nearly @.@ million"	0.0635902
"middle class"	0.0633938
Latin	0.0633904
Croat	0.0630411
Caucasian	0.0625618
"black and white"	0.0625578
Gypsy	0.0621355
preteen	0.0621265
Ijaw	0.0620922
"up to @,@@@"	0.0620869
hippie	0.0620025
"voting age"	0.0619803
Stroganoff	0.0619748
"almost @,@@@"	0.0607355
"East European"	0.0606996
"roughly @,@@@"	0.0606877
"East Bay"	0.0606849
Israeli-Arab	0.0602228
Druse	0.0601381
"South Asian"	0.060021
Twelve	0.0596314
"African Americans"	0.0595146
"nearly @@ million"	0.0592588
"Latin American"	0.0591111
"Bosnian Muslim"	0.0589096
Makah	0.0587769
Timorese	0.0587523
Leawood	0.0586027
non-Catholic	0.0585706
ultra-Orthodox	0.0584395
Kurdish	0.0581932
"over @.@@ million"	0.0580596
"Over one million"	0.0579824
"six million"	0.0578677
"more than @@ million"	0.0577745
"Southern Baptist"	0.0577318
"over @@ million"	0.0573859
"American Jewish"	0.0572133
"Kosovo Albanian"	0.0566889
Tutsi	0.0564684
"inner city"	0.0564501
"five million"	0.0561147
"nearly @,@@@"	0.0560468
"about @ million"	0.0559194
colorblind	0.0554224
Sinhala	0.0553931
pro-British	0.0553492
Khmer	0.0552733
"eight million"	0.055183
down-and-out	0.054989
"North American"	0.054927
Bedouin	0.0548353
Mennonite	0.0546152
Baptist	0.0546105
"Stone Age"	0.0545897
Hawaiian	0.0541559
"Two hundred"	0.0538345
Aggie	0.0537452
first-time	0.0537277
expatriate	0.0535826
Scottish	0.0535558
"about three"	0.0529505
soon-to-be	0.0528683
non-whites	0.05285
"over @ million"	0.0527348
Rockdale	0.0524954
"flag waving"	0.0522484
take-no-prisoners	0.0521855
"nine million"	0.0519772
"lower class"	0.0519629
"Monmouth County"	0.0518771
forgotten	0.0518471
"half a dozen"	0.0518256
"more than one million"	0.0517877
"another @@@,@@@"	0.0517028
"almost @@@,@@@"	0.0516866
"mentally retarded"	0.0516098
"blue blood"	0.051455
"Sunni Muslim"	0.0513575
geeky	0.0511488
Han	0.0511379
"up to four"	0.0509336
"two dozen"	0.0508445
Latina	0.050836
"about @@@,@@@"	0.050451
elitist	0.0502494
"nearly @@@"	0.0501967
"roughly @@@"	0.0501314
Chatsworth	0.0500823
"Around @@@"	0.0500766
"another @@,@@@"	0.0500743
"almost @@@"	0.0495551
"nearly @@@ million"	0.0495215
"More than two million"	0.0491786
Maori	0.0491099
"more than @@@,@@@"	0.0490684
"up to @ million"	0.0489647
Woburn	0.048935
kiddie	0.0488729
"Over two million"	0.0488081
"up to @@,@@@"	0.0486148
"Shiite Muslim"	0.0485466
Fifteen	0.0483684
"nearly @@,@@@"	0.0482653
thy	0.0482372
"Seven million"	0.0481683
"about @@ million"	0.0480726
"close to @@,@@@"	0.0479335
"Another @@ million"	0.0479128
Uygur	0.047673
Scripps	0.0474461
"two million"	0.0472579
absentee	0.0469536
"East Orange"	0.0468353
"more than @ million"	0.0465619
"almost @ million"	0.0463853
"New Covenant"	0.0461746
"three million"	0.0461499
"One Million"	0.0458575
JACK's	0.0458559
"less than @@,@@@"	0.0458516
ranching	0.0457937
"Middle Eastern"	0.0456583
))
(Anglo-American (desc 1823.57) (sims
U.S.-British	0.195294
Franco-German	0.165563
U.S.-Russian	0.142608
U.S.-Japan	0.131937
U.S.-led	0.12383
four-night	0.123256
"Desert Fox"	0.112996
Japan-U.S.	0.10976
collaborative	0.100564
Asia-Europe	0.0991476
inter-Arab	0.0966055
China-U.S.	0.0886769
Sino-Japanese	0.0861203
"investment banking"	0.0860142
Sino-French	0.0860003
Russian-U.S.	0.0830773
"laissez faire"	0.0801877
Sino-African	0.0740872
U.S.-China	0.0731887
mid-December	0.0722017
ragtag	0.0715983
Clinton-Lewinsky	0.0713157
"Dec @@-@@"	0.0696436
five-point	0.0692277
"Orthodox Jewish"	0.0685106
decadelong	0.066343
Israeli-Arab	0.064802
anything-goes	0.0641631
Sino-British	0.0637922
Sino-Russian	0.0622756
take-no-prisoners	0.062079
predawn	0.0620307
"consumer product"	0.061619
on-and-off	0.0612715
"night time"	0.0601221
lastest	0.0595541
Muslim-Croat	0.0592594
Chinese-American	0.0569684
post-Soviet	0.0565801
multiyear	0.0563293
Sino-U.S.	0.0561899
two-decade	0.0545419
"common law"	0.0544294
cross-Straits	0.0541625
high-stakes	0.0540041
Italian-American	0.0535868
"two @@@@"	0.0527168
four-month	0.0504241
post-@@@@	0.0500501
Germanic	0.050036
state-to-state	0.0499179
Icelandic	0.0496005
"Next Generation"	0.0487364
eleventh-hour	0.0486122
Javanese	0.0485875
INDIA-PAKISTAN	0.0481995
eight-week	0.0480093
O'Leary's	0.0469014
Behind-the-scenes	0.0463118
"billion dollar"	0.045774
six-point	0.0454939
O'Neal's	0.0452477
Mongol	0.0451554
ACB	0.0448407
revisionist	0.0433102
Finnish	0.0425335
multimillion	0.0425053
"Eastern European"	0.0424842
nine-hour	0.0424414
pan-European	0.0424031
"Tibetan Buddhist"	0.0422637
Arab-American	0.0421646
agribusiness	0.0421255
longterm	0.0420551
Cardiology	0.0418923
SAA	0.0418572
"North Vietnamese"	0.041704
Anglo	0.0415962
five-week	0.0411416
preservationist	0.0410474
"germ warfare"	0.0407868
seven-month	0.0405922
UTA	0.0403974
Israeli-Palestinian	0.0403478
inter-Korean	0.0401668
interagency	0.0400581
))
(Anglo-Saxon (desc 997.092) (sims
Chinese-Indonesians	0.081821
postmodernism	0.0771252
eraser	0.063504
"Tim Burton"	0.0632268
Anglo	0.0629154
impala	0.0626446
"musical score"	0.061414
orgasm	0.0606424
"blue whale"	0.0600267
Fuhr	0.0585135
"Volkswagen Beetle"	0.0583376
"Simon Bolivar"	0.0579868
"Great Expectations"	0.0579615
wainscoting	0.0579002
"big cat"	0.0566177
Blondie	0.0563482
Archaeopteryx	0.0550411
"Land Cruiser"	0.0544946
MALICK	0.0542792
Bech	0.0538518
"Ford Mustang"	0.0532666
Camaro	0.0528188
Judas	0.0527916
bedsheets	0.0524318
Sanan	0.0523919
Asprilla	0.0521846
mailman	0.052121
"mountain climber"	0.0520033
snowman	0.0519246
"North Carolinian"	0.0505552
Parthenon	0.0501317
"Pennsylvania Station"	0.0500291
"Ryan Kealy"	0.0496768
amen	0.0486276
minibuses	0.0481709
"Star-Spangled Banner"	0.0479296
Liston	0.0474127
"pipe organ"	0.0471318
mainlanders	0.0469075
cityscape	0.04665
Pooh	0.0462731
steamboat	0.0462596
"elevator operator"	0.046252
"sense of balance"	0.0461131
Samuelson	0.0458108
Switzer	0.0452079
"Aryan Nations"	0.0450834
pillowcase	0.0450142
Yarmila	0.0446657
subgenre	0.0445617
Abram	0.0440291
"Bryan Herta"	0.0437339
Currier	0.0432073
"Albanian Kosovars"	0.0431564
Scotty	0.0428991
"Easter bunny"	0.0427219
"choice of words"	0.0425876
Hoss	0.0420673
"stock certificate"	0.0420315
Scottie	0.0420294
anti-Semite	0.0419818
"German language"	0.0418641
test-takers	0.0414182
wretch	0.0413138
"American Pete Sampras"	0.0411371
sorority	0.0410557
bastard	0.0410202
self-image	0.0409771
"ventilation system"	0.040919
Afrikaans	0.0408812
"Florida Everglades"	0.0407919
"GI Joe"	0.0407567
"Lei Feng"	0.0405591
pike	0.0405283
Ark	0.0405072
uptrend	0.0403981
"Southern Democrats"	0.0403189
"mushroom cloud"	0.0400847
))
(Anglos (desc 1734.53) (sims
Asian-Americans	0.233172
"Asian Americans"	0.219053
Asian-American	0.196044
"African Americans"	0.157906
Anglo	0.157771
non-whites	0.152421
Mexican-Americans	0.148781
"Asian American"	0.147934
"American Indian"	0.124409
"people of color"	0.123747
Caucasian	0.121583
Latino	0.116579
Hispanic	0.115668
"Hispanic American"	0.111739
"African American"	0.107384
Italian-Americans	0.105928
"native American"	0.100676
Cuban-Americans	0.0867549
"union member"	0.086074
Haitian	0.0850231
"Puerto Rican"	0.0838288
"American Jews"	0.0800334
Ohioan	0.0774876
dweller	0.0755123
"deep red"	0.0734262
Hawaiians	0.0731584
Arab-Americans	0.0718471
Ecuadoreans	0.0715189
"white woman"	0.0707446
Chicagoans	0.0701565
Quebecers	0.0700073
"Orthodox Jews"	0.0695678
Koreans	0.0690577
"take-home pay"	0.067959
Beijingers	0.0654626
protestor	0.0648009
Dominican	0.0640225
"foster child"	0.0637495
Uighurs	0.0602063
low-income	0.0601754
Atlantans	0.0601707
Stolle	0.0600422
congregants	0.0592541
eighth-graders	0.0591186
Chinese-Indonesians	0.0588048
concertgoers	0.0586978
Londoner	0.0581558
policyholder	0.0577107
mainlanders	0.0576295
Bostonians	0.0572513
Malay	0.0563341
skydiver	0.0555213
Fijian	0.0552167
illegals	0.0549219
Floridian	0.0547468
"little leaguer"	0.0538036
Tibetans	0.0533757
"West Indian"	0.0532318
Paez	0.0530472
Irishmen	0.0522016
Missourian	0.052154
third-graders	0.0518583
FOMC	0.051839
Scholes	0.0516663
"white elephant"	0.0513604
"New York Democrats"	0.0513114
student-athletes	0.0511466
"Southern Democrats"	0.0510743
suburbanite	0.0508305
"business organization"	0.0507932
Vermonter	0.0505903
enlistee	0.0498381
"union worker"	0.049837
Athenian	0.0493555
"North Carolinian"	0.0493431
preschoolers	0.0492482
Frenchmen	0.0491153
"Paolo Di Canio"	0.0491032
octogenarian	0.0490922
Chevys	0.0489761
"married woman"	0.0489576
Bosnians	0.0488336
adoptees	0.0487991
"San Franciscans"	0.0486977
bourgeoisie	0.0485095
"Texas Democrats"	0.0484708
Vasile	0.0478115
Gi	0.0477483
"dark blue"	0.0474282
"East German"	0.0472437
"Lost World"	0.0467768
Washingtonian	0.0466914
Chinese-American	0.0464572
Peretz	0.0463296
schoolers	0.0462237
non-Catholic	0.0461378
taupe	0.0459782
"home buyer"	0.0458868
fibroids	0.0458646
Armenians	0.0457645
laymen	0.0455988
"Ethnic Albanians"	0.0455334
Basques	0.0453683
Trailblazer	0.0452836
emigre	0.0450777
"Pope Pius XII"	0.0450062
"British people"	0.0448411
filmgoers	0.0447938
Afrikaner	0.0447477
sixth-graders	0.0446197
transient	0.0445739
"New Jerseyans"	0.044483
"French people"	0.0443088
Navajos	0.0442632
"East Timorese"	0.0442086
evangelicals	0.0441771
Nepalese	0.0441533
Naipaul	0.0440842
herdsmen	0.0436325
medium-sized	0.0435576
"job seeker"	0.043491
urbanites	0.0434554
first-timers	0.0433641
"tax income"	0.0433572
nonwhites	0.043324
pensioner	0.0431708
dieters	0.0431162
"royal blue"	0.0430101
nonsmoker	0.0429811
shopkeeper	0.0428615
townspeople	0.0427761
mushers	0.0424556
Qaddafi	0.0424091
part-timer	0.0423627
multimillionaires	0.0422074
worshipper	0.0421587
"Sri Lankans"	0.0421544
enactors	0.0421318
interviewee	0.0420212
carjackings	0.0419617
"freight car"	0.0419245
abalone	0.0415993
"Dwight Yorke"	0.0414846
"major leaguer"	0.0414144
chauvinist	0.0413889
"New Zealander"	0.0412148
left-winger	0.0411118
test-takers	0.0408837
"Homo erectus"	0.0408803
temp	0.0408319
PLDT	0.0407835
Easterner	0.0407261
"drug addict"	0.040688
herdsman	0.0403671
citizenry	0.0403547
"Little Dog"	0.0401942
techies	0.0401582
Negro	0.0401444
espanol	0.0400809
))
(Angola (desc 65817.1) (sims
Mozambique	0.248573
Namibia	0.242218
Zambia	0.238627
"Sierra Leone"	0.234799
Congo	0.229569
Burundi	0.228894
Zimbabwe	0.224514
Zaire	0.224041
Rwanda	0.220918
Liberia	0.219717
Uganda	0.217096
Sudan	0.212177
Ethiopia	0.210538
Tanzania	0.207523
Somalia	0.200766
Nigeria	0.196961
Kenya	0.191629
Gabon	0.191574
Botswana	0.191374
"African country"	0.191355
"Democratic Republic of the Congo"	0.190642
Guinea-Bissau	0.188284
DRC	0.18628
Cambodia	0.185547
Afghanistan	0.185276
Ghana	0.185021
"South Africa"	0.184919
Algeria	0.181982
Chad	0.181793
Mali	0.181474
Malawi	0.181276
Senegal	0.18109
Niger	0.174902
Lesotho	0.173917
Benin	0.171696
Guinea	0.170738
"Republic of Congo"	0.168642
Egypt	0.167907
Madagascar	0.164775
Colombia	0.163426
Comoros	0.161088
Mauritius	0.161047
"African nation"	0.160438
"Central African Republic"	0.159996
Togo	0.158854
Albania	0.15789
Bosnia	0.157877
"Guinea Bissau"	0.156531
Swaziland	0.155866
Lebanon	0.154719
Seychelles	0.154454
"Sri Lanka"	0.152714
Peru	0.151553
Iran	0.151345
"Saudi Arabia"	0.151243
Libya	0.149222
"Ivory Coast"	0.148541
Tunisia	0.148083
Pakistan	0.148068
Djibouti	0.147656
Iraq	0.147545
Bangladesh	0.147326
Indonesia	0.147157
Tajikistan	0.145573
Eritrea	0.144376
"Burkina Faso"	0.144072
Nicaragua	0.14381
Yemen	0.143496
Cameroun	0.14334
"Democratic Republic of Congo"	0.143038
"Democratic Republic"	0.142977
Vietnam	0.142912
Thailand	0.141789
Venezuela	0.139393
"Sao Tome and Principe"	0.139368
Africa	0.138267
Guatemala	0.138146
Kuwait	0.138093
Turkey	0.137003
Myanmar	0.136344
Gambia	0.135416
India	0.135255
China	0.135144
Greece	0.135058
Ukraine	0.134987
Haiti	0.134759
Malaysia	0.134494
Poland	0.134401
Yugoslavia	0.134391
Bulgaria	0.134373
Hungary	0.132588
Argentina	0.132225
"Cape Verde"	0.132064
Cameroon	0.131689
Romania	0.131528
Brazil	0.131026
"East Timor"	0.129558
Mauritania	0.129093
Mongolia	0.128693
Bosnia-Herzegovina	0.128563
Morocco	0.128161
Russia	0.127902
Cuba	0.127482
Philippines	0.127341
Bolivia	0.127179
"South Korea"	0.12651
Kosovo	0.126369
Cyprus	0.125417
"Equatorial Guinea"	0.125417
country	0.125407
Honduras	0.124649
Bahrain	0.123712
region	0.123534
Laos	0.123513
Republic	0.122458
Mexico	0.12182
Macedonia	0.121597
Croatia	0.121596
"El Salvador"	0.121571
Syria	0.121373
Ecuador	0.121286
"North Korea"	0.120467
"Democratic Congo"	0.11885
Panama	0.118613
Kazakhstan	0.118546
France	0.118001
Nepal	0.117815
Chechnya	0.117272
Oman	0.1169
Australia	0.115816
Israel	0.114155
Canada	0.11395
Armenia	0.113618
Chile	0.112611
Italy	0.111351
Japan	0.110983
"Middle East"	0.109854
Britain	0.109725
province	0.10918
"United States"	0.109095
Portugal	0.108522
Uruguay	0.108295
Singapore	0.107696
Azerbaijan	0.107405
Norway	0.106322
Switzerland	0.105524
"Northern Ireland"	0.105441
Germany	0.105408
Balkans	0.104906
Belgium	0.104293
Austria	0.104206
"United Arab Emirates"	0.103489
Finland	0.103257
"Costa Rica"	0.102985
Uzbekistan	0.10215
Spain	0.101839
Qatar	0.101453
Fiji	0.100885
Kyrgyzstan	0.100539
Serbia	0.100368
Jordan	0.0995268
"Papua New Guinea"	0.0992241
Brunei	0.0986988
"Asian country"	0.0986034
Kingdom	0.0972488
"New Zealand"	0.0960863
"Asian nation"	0.0960233
Mindanao	0.0952952
Baghdad	0.0948858
"Central American country"	0.094605
Jamaica	0.0943669
"Balkan country"	0.0935448
DPRK	0.0933307
Belarus	0.0932593
"Latin America"	0.0930427
Taiwan	0.0928812
Slovenia	0.0927734
"Czech Republic"	0.0926027
Moldova	0.0923043
Lithuania	0.0923042
Netherlands	0.0918803
Slovakia	0.0918232
"Western Sahara"	0.0915254
"European country"	0.0913145
UAE	0.0912459
Paraguay	0.0910578
Burma	0.0906831
Denmark	0.0904122
Ireland	0.0903917
"United Kingdom"	0.0897905
Georgia	0.0895339
Guyana	0.0894459
Tibet	0.0893696
Palestine	0.0893554
"Dominican Republic"	0.0893241
Malta	0.0886963
Turkmenistan	0.088329
nation	0.0880333
Montenegro	0.0875147
Kashmir	0.0875072
))
(Angolan (desc 9610.16) (sims
Mozambican	0.20858
Burundian	0.202171
Ethiopian	0.16968
Namibian	0.169548
Congolese	0.168805
Zimbabwean	0.166834
Sudanese	0.164162
Ugandan	0.163584
Eritrean	0.160279
Somali	0.146465
Kenyan	0.144503
Zambian	0.143989
Filipino	0.141635
Cambodian	0.139884
"Sri Lankans"	0.13986
Liberian	0.136437
Ukrainians	0.136202
Rwandan	0.135811
"Sierra Leonean"	0.135432
"South African"	0.133071
Afghan	0.131815
Lebanese	0.131434
Zairean	0.130377
Bosnians	0.129493
Iraqi	0.128287
Vietnamese	0.126792
Tanzanian	0.124128
Nigerian	0.121449
Kosovars	0.119692
Indonesian	0.114078
Colombian	0.112868
Iranian	0.1125
"North Koreans"	0.112457
Malawian	0.11214
Bulgarian	0.111841
Bangladeshi	0.110363
Thai	0.108995
Haitian	0.107649
Tibetans	0.107267
Salvadoran	0.107076
Egyptian	0.106472
"Kosovo Albanians"	0.106139
Georgian	0.105923
"Kosovar Albanians"	0.104651
"East Timorese"	0.10321
Honduran	0.102201
migrant	0.102098
Jordanian	0.101168
Beijingers	0.100844
Malaysian	0.0998305
"Albanian Kosovars"	0.0992481
"displaced person"	0.097513
Albanian	0.0972325
Chilean	0.0971678
foreigner	0.0966129
refugee	0.0964757
Mexican	0.0961441
Cypriot	0.0956389
Peruvian	0.0940649
Canadian	0.0937799
Kuwaiti	0.0936485
Briton	0.0930948
"Greek Cypriots"	0.0924126
Pakistani	0.0921782
Cuban	0.0919446
mainlanders	0.09163
laid-offs	0.0915848
Kurds	0.0915348
villager	0.0910138
Taiwanese	0.090996
Syrian	0.0904656
Chechens	0.0900605
Russian	0.0896334
Koreans	0.0892062
Nepalese	0.0891727
returnees	0.0888155
African	0.0883663
Nicaraguan	0.0883033
laborer	0.0881676
civilian	0.0874951
Palestinian	0.0872324
asylum-seekers	0.0860122
VMs	0.0858355
deserter	0.0856506
homeless	0.0854228
Moroccan	0.0850624
Greeks	0.0847025
reservist	0.0843564
"university student"	0.0842435
illegals	0.0841893
Turk	0.0840117
Argentine	0.0837889
Guatemalan	0.0836423
Algerian	0.0835631
Singaporean	0.0832351
servicemen	0.0831697
Tutsis	0.0828407
"military personnel"	0.0827928
"temporary worker"	0.0822956
Hungarian	0.082131
expatriate	0.0812996
Chinese	0.0808524
Brazilian	0.0808442
Californian	0.0806689
evacuee	0.080601
immigrant	0.080593
inhabitant	0.0803078
Israeli	0.0802314
Armenians	0.0801887
pilgrim	0.0801194
"New Zealander"	0.079855
"Iranian POWs"	0.0798369
"South Koreans"	0.079776
Romanian	0.0796983
job-seekers	0.0789241
farmer	0.078804
German	0.0778844
Serbs	0.0765261
herdsmen	0.0763292
"senior citizen"	0.0762955
Yugoslav	0.0761702
Bolivian	0.0761469
Guinean	0.0760724
"Kosovo Serbs"	0.0760082
pensioner	0.0758134
"coal miner"	0.0754875
"union member"	0.0752776
"Iraqi POWs"	0.0751266
Hutus	0.0744851
businessmen	0.0744178
"college student"	0.0743685
sq.km	0.0743105
Italian	0.0741955
"Russian Jews"	0.0740417
"AIDS patient"	0.073896
Austrian	0.0738738
Indian	0.0738577
British	0.0735534
"drug addict"	0.0735085
peasant	0.0729763
Australian	0.0728183
businesspeople	0.0727474
"North Africans"	0.0724268
worshipper	0.0720172
enrollee	0.071668
Japanese	0.071074
Yemeni	0.0707948
orphan	0.0704259
countrymen	0.0703127
Muslim	0.0699789
Tutsi	0.0699496
dweller	0.0698448
miner	0.0698031
tourist	0.0695156
Tunisian	0.0694974
Saudi	0.0691294
Panamanian	0.0690227
policemen	0.0687104
Arab	0.0684997
worshiper	0.0683667
Ghanaians	0.068017
Muscovite	0.06785
Belgian	0.0676623
"civil servant"	0.0676396
enlistee	0.0674191
Hindu	0.067197
emigrant	0.0667781
firefighters	0.0667736
sufferer	0.0664939
personnel	0.0663355
Dominican	0.0661229
Venezuelan	0.0660187
Chinese-Indonesians	0.0659588
registrant	0.0658348
Senegalese	0.0657198
Gypsy	0.0653383
Moslem	0.0649768
Swiss	0.0645922
Cameroonian	0.0641535
combatant	0.0641432
fire-fighter	0.0640149
"farm worker"	0.0639434
"army officer"	0.0639334
"Central American"	0.0638746
feddans	0.0638519
pupil	0.0630377
deportee	0.0630089
centenarian	0.0629927
crewmembers	0.0626533
Libyan	0.0625312
motorcyclists	0.0625212
displaced	0.0623174
youngster	0.0622971
protestor	0.0622963
mercenary	0.0621749
holidaymaker	0.0621168
Fishermen	0.0620612
guerrilla	0.0619357
enumerators	0.0617918
Portuguese	0.0616438
))
("Angolan Government" (desc 1081.26) (sims
"Total Independence"	0.111328
Kony	0.0874701
"Joint Liaison Group"	0.0734358
Carollo	0.0717562
MQM	0.0683987
Chinese-Indonesians	0.0655613
RUF	0.0646916
Kesri	0.0641422
Kulikov	0.0635523
Basayev	0.0635065
Sandinistas	0.0627058
Lissouba	0.0613815
Yazdi	0.0612949
"Zapatista National Liberation Army"	0.0591757
Raduyev	0.0591491
"Royal Government"	0.0587514
Koirala	0.0578855
Arens	0.0568353
EBRD	0.0561588
"National Election Committee"	0.055243
"Information Ministry"	0.0550339
"European Bank for Reconstruction"	0.0547191
Yosef	0.0545219
Jovanovic	0.05362
"South African Airways"	0.0535785
Fuhrman	0.0532258
mutineer	0.0524843
OPM	0.052446
Harris-Lewis	0.0522827
"Liberation Front"	0.0521742
CUF	0.0520722
"Human Rights Commission"	0.0518464
Aliotti	0.0516488
RCD	0.0515291
KPA	0.0514702
"Federal Highway Administration"	0.0512984
KDP	0.0508967
"Jonas Savimbi"	0.0506551
"Cendant Corp."	0.0502974
"Dow Corning"	0.0500684
Preval	0.0498837
"Philippine National Police"	0.0498365
"Nuclear Regulatory Commission"	0.049639
LRA	0.0495029
"Polisario Front"	0.0495006
SPDC	0.0493004
Equifax	0.0492457
IAI	0.0492351
Vieira	0.0490078
"Kurdistan Democratic Party"	0.0489845
"Speaker Ali Akbar Nateq-Nouri"	0.0489802
Oneidas	0.0488686
"HKSAR Government"	0.0484342
Bouchard	0.0484291
"Kenyan Government"	0.048321
Scharping	0.0481316
Boehner	0.0481311
Koroma	0.0481001
Aidid	0.0480772
"Revolutionary Guards"	0.0479595
"Mattel Inc."	0.0479242
USAID	0.0479241
"Revolutionary United Front"	0.0478871
MNLF	0.0478116
"Joint Military Commission"	0.0475779
"King Birendra"	0.0473974
"Clinton Administration"	0.0473187
"Olympic Committee"	0.0472856
Bhattarai	0.0471591
JMC	0.0468763
OCA	0.046745
Coia	0.0465627
belligerents	0.0465333
"Lakhdar Brahimi"	0.0464647
Lukashenko	0.0462822
Jayalalitha	0.0461052
"Macao Government"	0.04606
"British Foreign Office"	0.0459982
"King Bhumibol Adulyadej"	0.0459439
UNIDO	0.0458059
"Wolfgang Schaeuble"	0.0457096
"Tariq Aziz"	0.0456981
Leghari	0.0456253
mujahedeen	0.0456129
"two @@-year-olds"	0.045554
"Superintendent Ruben Zacarias"	0.0454738
Zyuganov	0.0454321
"Ethnic Albanians"	0.0453791
RIAA	0.0453751
"Aetna U.S. Healthcare"	0.045261
"Israeli Foreign Ministry"	0.0451726
BOC	0.0451131
ai	0.0450203
"insurance regulator"	0.044975
"Palestinian Legislative Council"	0.0447053
Westbrook	0.0446383
"Real IRA"	0.0445812
UNFPA	0.0444797
Warnaco	0.0444071
"Gordon Brown"	0.0444009
MSF	0.0443503
"Guardian Council"	0.0441032
BIA	0.0441021
Calvary	0.0435501
"Health Care Financing Administration"	0.0435484
Narayanan	0.0434265
"Bosnian Croats"	0.0433348
Sensenbrenner	0.0433265
Nkomo	0.04332
"welfare worker"	0.0432862
"International War Crimes Tribunal"	0.043279
Maskhadov	0.0431947
"King Sihanouk"	0.0431559
spillover	0.0431108
"United Front"	0.0430829
Hevesi	0.0429737
"Albanian Kosovo Liberation Army"	0.0429425
Fabius	0.0428319
"John Major"	0.0428143
"Council of Guardians"	0.042699
OSHA	0.0426879
"Greek Orthodox Church"	0.0426571
co-sponsors	0.0424064
Esser	0.0423676
Divac	0.0422942
Malawian	0.0421614
SEABROOK	0.042065
Caltrans	0.0420413
"United National Party"	0.042022
"Organization of Islamic Conference"	0.0420003
SFC	0.0419952
Ramseys	0.0419276
Shevardnadze	0.0417564
Basques	0.0417475
"Veterans Administration"	0.0417472
Guei	0.0416949
"Olusegun Obasanjo"	0.041657
"D.R Congo"	0.041619
"Lebanese Hezbollah"	0.0415764
Upton	0.0415744
"Department of Housing and Urban Development"	0.0413746
"US Congress"	0.0413629
"Buddy MacKay"	0.041342
"Bangladesh Nationalist Party"	0.0412648
"Atal Behari Vajpayee"	0.0412054
Bailundo	0.0411041
EC	0.0410732
KPU	0.0410702
"Action Plan"	0.0409874
Taleban	0.0409643
"Peter Mandelson"	0.0409523
CPF	0.0409192
Szabo	0.0409013
"Irish Republican Army"	0.0407905
"U.S. Export-Import Bank"	0.040595
Eximbank	0.0405719
SFA	0.040496
"Serbian Radical Party"	0.0403391
Bragman	0.040305
"King Abdullah Bin Hussein"	0.0402979
Baca	0.0402923
"Al Fayed"	0.0402557
tribals	0.0402553
SDB	0.0402474
INEC	0.0402075
STARMEDIA	0.0401928
Neeman	0.040154
Ivoire	0.0401082
SSE	0.0401059
RRA	0.0400957
EP	0.0400598
"Grand National Party"	0.0400402
"North Koreans"	0.0400261
Weil	0.0400018
))
(Angop (desc 1960.43) (sims
Antara	0.328722
"Indonesian Observer"	0.310023
Petra	0.308172
"Egyptian Gazette"	0.302237
"Saudi Press Agency"	0.293048
"Khaleej Times"	0.291615
"Straits Times"	0.291072
Lusa	0.290423
"Korean Central News Agency"	0.289363
"Tehran Times"	0.288939
"Egyptian Middle East News Agency"	0.280216
Ansa	0.27451
IRNA	0.271179
KPL	0.270074
"Business Day"	0.263826
Tanjug	0.263684
"Iraqi News Agency"	0.261821
Sowetan	0.261175
Noticias	0.261106
"Philippine News Agency"	0.259792
MTI	0.25743
"News Agency of Nigeria"	0.253553
"Kyodo News"	0.25257
Notimex	0.25036
"Thai News Agency"	0.250133
"Daily Star"	0.247829
"Agence France Presse"	0.246769
"Associated Press of Pakistan"	0.243025
Bernama	0.241669
WAM	0.239701
ATA	0.237773
BS	0.237203
"U.S. Labor Department"	0.234314
MENA	0.233009
"Kyodo News Service"	0.232053
"Jordan Times"	0.231524
"Kuwait News Agency"	0.224171
Haaretz	0.222413
INA	0.222181
"Financial Mail"	0.220835
"Islamic Republic News Agency"	0.220772
"Press Trust of India"	0.218462
Jana	0.217474
"Business Times"	0.216491
"East African Standard"	0.216225
"Australian Associated Press"	0.21506
"British Broadcasting Corporation"	0.21423
Kyodo	0.213318
"New Nigerian"	0.213128
"New Vision"	0.211193
"Daily Nation"	0.211149
"China Daily Business Weekly"	0.210949
"Vietnam News Agency"	0.210494
"New Light"	0.209657
"Ethiopian News Agency"	0.208795
"Bangkok Post"	0.208784
"Anatolia News Agency"	0.208478
"Ghana News Agency"	0.208303
"Middle East News Agency"	0.207324
"Kathmandu Post"	0.207061
"Jerusalem Post"	0.206782
"South China Morning Post"	0.205507
"Kenya Times"	0.204573
"Radio Uganda"	0.204029
KUNA	0.2039
"Gulf News"	0.203169
RSS	0.202452
"Southern African Broadcasting Association"	0.199345
"South African Press Association"	0.198603
"Business Weekly"	0.198446
"Rwanda News Agency"	0.196876
"press agency"	0.196474
"Al Ahram"	0.196455
"Agence France-Presse"	0.195436
"Moscow Times"	0.193877
"Zambia Daily Mail"	0.19351
"Post Express"	0.190859
Malaya	0.188278
"Jakarta Post"	0.18725
"East African"	0.186949
AFP	0.185882
"Athens News Agency"	0.184932
"Ethiopian Herald"	0.180566
"Vietnam News"	0.180391
"Antara News Agency"	0.179766
"Daily Times"	0.179762
Tass	0.177354
"Zambia News Agency"	0.176278
"Israel Radio"	0.175386
"Alam Al Yom"	0.174631
"Cyprus News Agency"	0.173952
al-Hayat	0.169092
"Dow Jones Newswires"	0.166011
"Beijing Daily"	0.164202
Maariv	0.161269
TT	0.160706
"Zimbabwe News Agency"	0.159329
"Sydney Morning Herald"	0.154891
"Turkish Daily News"	0.154304
Eurostat	0.153333
"National Association of Realtors"	0.152915
"Seattle Times"	0.152413
Itar-Tass	0.150367
Sana	0.150249
Salam	0.148964
Interfax	0.148281
"Le Figaro"	0.146713
"The Monitor"	0.146705
"Macao Daily News"	0.145008
"China Youth Daily"	0.143966
Kommersant	0.14252
APA	0.14187
Anatolia	0.141805
Reuters	0.141122
"New Straits Times"	0.140031
"Al Hayat"	0.139424
"Iran News"	0.138339
Reforma	0.137339
SAPA	0.136908
"Le Monde"	0.136907
Hurriyet	0.13607
"The New Vision"	0.135864
Granma	0.131646
"Daily Telegraph"	0.1316
Al-Ahram	0.131058
"Daily Mail"	0.130413
APP	0.12845
"United Press International"	0.1273
"Xinhua News Agency"	0.127181
PTI	0.124423
L'Equipe	0.123655
"Daily News"	0.12206
"China Daily"	0.121888
"Washington Times"	0.121146
"Guangming Daily"	0.119445
"Financial Times"	0.119371
"Information Center"	0.119349
"Press Trust"	0.119057
"Wenhui Daily"	0.11847
"Koha Ditore"	0.116241
"Nihon Keizai Shimbun"	0.116153
"Beijing Youth Daily"	0.115463
"El Mundo"	0.11476
"Der Spiegel"	0.112523
"El Pais"	0.110644
PAP	0.110195
"U.S. Commerce Department"	0.110069
BBC	0.110048
"Central Bureau of Statistics"	0.108976
"Jerusalem Media and Communication Center"	0.107915
"Statistics Canada"	0.106306
"USA TODAY"	0.105245
"Detroit News"	0.103794
"Chicago Tribune"	0.103514
"International Business Daily"	0.101098
"Dallas Morning News"	0.101003
beta	0.100464
RNA	0.0995082
"Australian Bureau of Statistics"	0.0991118
"Asahi Shimbun"	0.0977243
"Washington Post"	0.0972457
"Nihon Keizai"	0.0972347
"Wen Wei Po"	0.096435
"New York Daily News"	0.0963135
"Miami Herald"	0.0962242
Dominion	0.0959382
"Los Angeles Times"	0.0958153
CNA	0.095516
NHK	0.0954214
"Bloomberg News"	0.0954063
"Conference Board"	0.094819
"National Post"	0.0944319
sid	0.0940259
"Wall Street Journal"	0.0928148
Politika	0.0918508
"Yomiuri Shimbun"	0.0916062
dem	0.0892111
"Commerce Department"	0.0891491
NTV	0.0888529
Asahi	0.0882224
"Labor Department"	0.0876124
Guardian	0.0871464
ABS-CBN	0.085156
"Detroit Free Press"	0.0848707
"news service"	0.0840439
"Nhan Dan"	0.0837508
Bild	0.082244
"mass media"	0.0799599
"Boston Herald"	0.0797316
Inquirer	0.0797279
"Census and Statistics Department"	0.0783869
Yomiuri	0.0769942
CTV	0.0768436
"State Statistics Bureau"	0.0763392
"Census Bureau"	0.0762276
TC	0.075206
"New York Post"	0.0738795
"Hartford Courant"	0.0733524
"Yediot Ahronot"	0.0719613
"Central Bank of Kenya"	0.0718429
))
(angst (desc 20396.6) (sims
anxiety	0.128835
anguish	0.116673
anger	0.105902
alienation	0.101714
loneliness	0.0986007
resentment	0.0980795
despair	0.0974311
sadness	0.0970968
confusion	0.0968939
frustration	0.0951378
insecurity	0.0950384
nervousness	0.0941628
unease	0.0927429
emotion	0.0918171
grief	0.0907528
excitement	0.089481
heartache	0.0893869
jealousy	0.0893823
bitterness	0.0885548
paranoia	0.0859212
disillusionment	0.0858316
ambivalence	0.085808
discontent	0.0854521
uncertainty	0.0842386
optimism	0.0825026
rage	0.0812557
passion	0.0803856
fear	0.0798879
stress	0.0788805
outrage	0.0788204
nostalgia	0.0785955
disenchantment	0.0784935
suspense	0.0784635
uneasiness	0.0781819
agony	0.0781369
misery	0.0779184
happiness	0.0777778
trauma	0.0777108
apathy	0.0776772
mistrust	0.0775215
pain	0.0775018
tension	0.0765398
longing	0.076468
guilt	0.0759258
panic	0.0751596
restlessness	0.0751379
pessimism	0.0750677
desperation	0.0747689
worry	0.0746979
skepticism	0.0746739
distrust	0.0740562
disquiet	0.0740202
Distress	0.0735626
cynicism	0.0730377
drama	0.0729934
acrimony	0.0728704
dread	0.0727809
horror	0.0726252
bewilderment	0.0723632
dysfunction	0.0722695
feeling	0.0721981
hatred	0.0720392
apprehension	0.0718928
sophistication	0.0715813
helplessness	0.0713665
trepidation	0.0709357
humor	0.0709254
unhappiness	0.0708094
sorrow	0.0707105
joy	0.0704607
enthusiasm	0.0703375
volatility	0.0697981
wariness	0.0694317
ambiguity	0.0693431
disappointment	0.0687705
discord	0.0687478
obsession	0.0687254
disaffection	0.0686187
jitters	0.0685949
hand-wringing	0.0681108
dislocation	0.0675148
exasperation	0.0675052
pride	0.0673494
dissatisfaction	0.0671759
malaise	0.0670277
hardship	0.0668519
intrigue	0.0667612
fantasy	0.0665176
self-doubt	0.0663616
euphoria	0.0663069
vulnerability	0.0658125
terror	0.0655345
rancor	0.0654508
hysteria	0.0654178
irony	0.0653368
ennui	0.0652607
frailty	0.0651668
heartbreak	0.0649967
prejudice	0.0648545
adversity	0.0647298
disbelief	0.0647168
soul-searching	0.0645152
animosity	0.0642429
friction	0.0639231
fascination	0.0632269
turmoil	0.0630901
hype	0.0630322
controversy	0.0629276
lust	0.0628889
compassion	0.062798
desire	0.0623788
immaturity	0.0623759
realism	0.0620587
discomfort	0.0620191
annoyance	0.0619423
yearning	0.0618187
exuberance	0.0618083
negativity	0.0617242
strife	0.0616355
fervor	0.0616238
ferment	0.0612709
naivete	0.060926
sentiment	0.0607655
"inferiority complex"	0.0603414
humility	0.0603288
doubt	0.0601523
consternation	0.0601523
ignorance	0.0600881
indignation	0.0600648
chaos	0.0597962
pathos	0.0596552
awe	0.0594888
disgust	0.0592474
spontaneity	0.0591663
tragedy	0.0591185
shame	0.0591006
inconvenience	0.0591005
instability	0.0590649
upheaval	0.0590504
stereotype	0.0589269
embarrassment	0.0588803
woe	0.0587384
empathy	0.0584646
curiosity	0.0584497
affection	0.0581992
sense	0.0580597
alarm	0.0580276
regret	0.0580075
jubilation	0.0579385
"identity crisis"	0.057938
recrimination	0.0579033
hopelessness	0.0577288
contradiction	0.0575741
skittishness	0.0575513
disorientation	0.0575394
bravado	0.0574569
misgiving	0.0574517
misunderstanding	0.0574266
dismay	0.0574134
mayhem	0.057318
introspection	0.0572989
charm	0.0571275
exhilaration	0.0570923
betrayal	0.0570777
tenderness	0.0569868
shock	0.0567617
revulsion	0.0567344
emptiness	0.0566787
hunger	0.0566742
symbolism	0.0565775
suspicion	0.0565213
warmth	0.0563869
silliness	0.0563186
"ill will"	0.0561006
elegance	0.0560684
dissension	0.0560232
arrogance	0.055995
complexity	0.0559179
intimacy	0.0558634
remorse	0.0558118
ambition	0.0557385
togetherness	0.0556839
awkwardness	0.0555794
fury	0.0555128
madness	0.0554909
violence	0.055482
Depression	0.0554674
sensibility	0.05539
mystery	0.0553681
dilemma	0.0552955
mind-set	0.0552054
thrill	0.0551886
irritation	0.0551726
hilarity	0.0549764
mischief	0.054933
Exhaustion	0.0549176
cruelty	0.0548136
powerlessness	0.0547687
complacency	0.0547425
distraction	0.0544664
))
(Anguilla (desc 2413.67) (sims
Dominica	0.181914
"St. Croix"	0.17678
Montserrat	0.162781
Martinique	0.151318
"St. Kitts and Nevis"	0.149346
"St. Lucia"	0.126756
Guadeloupe	0.123753
"New Caledonia"	0.117683
"St. Kitts"	0.112813
"St. Maarten"	0.103336
"Netherlands Antilles"	0.10295
Nauru	0.101016
"St. Vincent"	0.1009
"St. Thomas"	0.100688
Grenada	0.0982896
Kyushu	0.096152
"St. Vincent and the Grenadines"	0.0888412
Guam	0.0873543
Barbados	0.0854891
curacao	0.0850149
"U.S. Virgin Islands"	0.080705
Saipan	0.0800907
Antigua	0.078974
Oahu	0.0773602
Kauai	0.0771491
"Antigua and Barbuda"	0.0768781
"Cayman Islands"	0.0766957
Hispaniola	0.0762252
Madagascar	0.0757512
Sipadan	0.0755532
"St. Martin"	0.0755353
"Abu Musa"	0.0753277
Nunavut	0.0752436
Sakhalin	0.0738225
"Leeward Islands"	0.0729494
Gibraltar	0.0725853
Palau	0.0705412
Nevis	0.0688525
Anjouan	0.0687426
Batam	0.0684695
Belize	0.0658002
"Dominican Republic"	0.0625768
Samoa	0.0624478
Crete	0.0621792
Langkawi	0.0610578
Guadalcanal	0.059702
Moroni	0.0596921
"Virgin Islands"	0.0586122
Labuan	0.0564248
"Papua New Guinea"	0.0546938
Bahamas	0.0546694
Bermuda	0.054658
"Trinidad and Tobago"	0.0546405
Ilie	0.0541445
Vanuatu	0.0528713
Tanganyika	0.0522629
Pemba	0.0507305
Guyana	0.0506986
Guernsey	0.0506333
Phuket	0.0501607
Tonga	0.0492979
"LA Lakers"	0.0485435
Sulawesi	0.0482863
Shenhua	0.0482648
Mallorca	0.0480552
"Western Sahara"	0.0477843
Aruba	0.0472428
"Republic of Ireland"	0.0466686
"West Germany"	0.0460924
"Banshee Breeze"	0.046044
Hokkaido	0.0457668
"Slovak Republic"	0.0452996
Comoros	0.0452687
"Cape Verde"	0.0440038
Jolo	0.0438276
Maldives	0.0436657
Seychelles	0.0433496
Palawan	0.0432381
"Hainan Island"	0.0425724
"Diaoyu Islands"	0.0420707
Watford	0.0420574
Tahiti	0.0420347
Surinam	0.0419639
Sumatra	0.0419082
Ambon	0.0416565
"Ivory Coast"	0.0415844
"New Territories"	0.0415424
Tarango	0.0412224
diag	0.0410312
"San Salvador"	0.0409631
PAOK	0.0408217
Jansher	0.0403218
"Leicester City"	0.0400837
"West Timor"	0.0400302
))
(anguish (desc 17632.5) (sims
sadness	0.209864
grief	0.194881
sorrow	0.183813
agony	0.162109
anger	0.153151
anxiety	0.147173
frustration	0.146749
despair	0.143419
pain	0.1417
loneliness	0.141111
Distress	0.138226
confusion	0.131043
disbelief	0.129993
outrage	0.129379
disappointment	0.126951
heartache	0.122809
dismay	0.122595
horror	0.122534
joy	0.122235
bewilderment	0.121712
bitterness	0.120411
misery	0.119433
shame	0.119051
trauma	0.118484
angst	0.116673
indignation	0.116548
disgust	0.116126
hardship	0.115732
heartbreak	0.1153
consternation	0.114548
terror	0.114365
shock	0.112484
suffering	0.111975
regret	0.110201
fear	0.107548
emotion	0.105179
desperation	0.103814
uncertainty	0.103193
panic	0.102392
elation	0.10229
longing	0.101871
remorse	0.101432
embarrassment	0.100404
jubilation	0.0990244
hopelessness	0.0986325
dread	0.0985879
resentment	0.0985172
guilt	0.0983684
humiliation	0.0975035
apprehension	0.0974334
discomfort	0.0967107
trepidation	0.0963411
exasperation	0.0962732
excitement	0.0954773
rage	0.0949693
unease	0.0941511
helplessness	0.0937208
nervousness	0.0936438
happiness	0.0930744
tragedy	0.0928882
exhilaration	0.0925945
torment	0.0921881
alienation	0.0917621
sympathy	0.09156
tenderness	0.0913583
stress	0.0907711
feeling	0.0907702
indignity	0.089713
self-doubt	0.089017
Exhaustion	0.0887957
pride	0.0885252
fury	0.0877636
disillusionment	0.0873273
ambivalence	0.087278
jealousy	0.0869391
despondency	0.0867717
revulsion	0.0861899
insecurity	0.0847435
"emotional distress"	0.0842727
devastation	0.083713
passion	0.083153
"mental anguish"	0.0831067
astonishment	0.0829897
dislocation	0.0824265
tension	0.0820692
betrayal	0.0818114
incredulity	0.080461
powerlessness	0.0800963
discontent	0.0795715
mistrust	0.0794587
suspense	0.0793958
irritation	0.0792522
melancholy	0.0792185
hatred	0.0787355
Depression	0.0777874
rancor	0.0777104
amazement	0.0775412
affection	0.0770163
pathos	0.0767933
disquiet	0.0767587
numbness	0.0765553
chaos	0.0764551
empathy	0.075726
pity	0.0755989
laughter	0.0753907
boredom	0.0751413
yearning	0.0748404
cynicism	0.0737028
admiration	0.0735441
compassion	0.0735398
weariness	0.0730028
introspection	0.0727771
self-loathing	0.0727479
urgency	0.0724098
alarm	0.0723465
delight	0.0723394
emptiness	0.071887
turmoil	0.0718305
deprivation	0.0717638
nostalgia	0.0714728
restlessness	0.0712756
perplexity	0.0712078
uneasiness	0.0711913
pleasure	0.0709607
hunger	0.0707938
distrust	0.0707761
vulnerability	0.070685
annoyance	0.0703322
bloodshed	0.0702851
isolation	0.0693489
upheaval	0.0692777
displeasure	0.0692338
optimism	0.0687695
paranoia	0.068501
impatience	0.0681654
paralysis	0.0673843
desolation	0.0673063
disapproval	0.0671736
wariness	0.0671565
unhappiness	0.0670371
woe	0.0670015
fatigue	0.0669878
injustice	0.0669643
warmth	0.0668531
hesitation	0.0666857
tiredness	0.0665067
satisfaction	0.0664105
adversity	0.0663683
gloom	0.0662702
aggravation	0.0660231
skepticism	0.0658777
apathy	0.065835
misgiving	0.065746
awkwardness	0.0657449
heroism	0.0655469
instability	0.0654897
mirth	0.065357
glee	0.0650402
inconvenience	0.065006
suspicion	0.0649242
pique	0.0649033
euphoria	0.0648095
puzzlement	0.0648076
fragility	0.0646755
dissatisfaction	0.0642457
bereavement	0.0641953
condolence	0.0640515
rapture	0.0637865
pessimism	0.063595
Sacrifice	0.0635317
tumult	0.0634031
enthusiasm	0.0632188
fatalism	0.0631167
cruelty	0.0629687
misunderstanding	0.0626372
sarcasm	0.0625758
complexity	0.0623878
lust	0.0623759
gratitude	0.0622025
difficulty	0.0621899
awe	0.0617739
disorientation	0.0617422
recrimination	0.0617398
ache	0.0616489
fervor	0.0613203
madness	0.0610962
curiosity	0.0610231
sense	0.0609155
intrigue	0.0609045
poignancy	0.0608082
dilemma	0.0606953
defensiveness	0.0605897
tribulation	0.0601313
hysteria	0.0600432
sensitivity	0.0599611
destruction	0.0598943
harm	0.0598859
strife	0.0597772
mourning	0.0596266
frailty	0.0596021
))
("Angus Fraser" (desc 1941.73) (sims
"Darren Gough"	0.334984
"Dean Headley"	0.284559
"Glenn McGrath"	0.160791
"Allan Donald"	0.137345
"Courtney Walsh"	0.133176
"Damien Fleming"	0.131813
Hussain	0.108624
"Wasim Akram"	0.100075
"Shane Warne"	0.0938622
"Salim Malik"	0.0902791
"Alec Stewart"	0.0782508
"Ian Wright"	0.0710028
"David Seaman"	0.069283
Kallis	0.0666961
"Curtly Ambrose"	0.066358
Fraser	0.0611677
"Wang Yifu"	0.0607635
bowler	0.0574734
Mullally	0.0568398
"Mark Ramprakash"	0.0546671
"Kevin Keegan"	0.0520292
"Nasser Hussain"	0.0519218
"Mike Atherton"	0.0514745
"red bell pepper"	0.051154
"Tony Adams"	0.0505229
"Mike Jones"	0.0503869
"Erik Kramer"	0.0485651
"Willie Clay"	0.0484582
"Paul Gascoigne"	0.0476944
"Liu Yong"	0.0474036
"Paul Merson"	0.0469651
"Thomas Haessler"	0.0465936
"Liu Xuan"	0.0463539
"Joe Kleine"	0.0462955
"Mark Waugh"	0.0461759
Bowling	0.0459354
Gough	0.0457876
"Scott Zolak"	0.0450305
Taufik	0.0447228
"Paul Ince"	0.0431454
naught	0.043042
"ball club"	0.0429355
"Ivan Ivankov"	0.0426165
"Olin Browne"	0.0425697
"Cliff Ronning"	0.0423774
"Ricky Ponting"	0.0421566
"Vin Scully"	0.0419049
"Trace Armstrong"	0.0418155
"Mike Vernon"	0.0417163
"Amy van Dyken"	0.0415348
"Steve Waugh"	0.0414495
Croft	0.0412072
"Otis Smith"	0.0410462
))
(Anheuser-Busch (desc 4963.81) (sims
Budweiser	0.136802
Frito-Lay	0.134316
"Philip Morris"	0.131462
"Sara Lee"	0.128082
"Coca Cola"	0.127977
Carlsberg	0.125953
Unilever	0.125063
"General Electric"	0.124165
Stroh	0.122792
"Coca-Cola Co."	0.120524
Pepsico	0.120484
Coca-Cola	0.11914
Gillette	0.118678
NIKE	0.118435
"General Motors"	0.117316
Coors	0.115711
Kodak	0.115657
"Ford Motor"	0.115536
Motorola	0.114388
Honeywell	0.113921
Nabisco	0.113887
"Procter &AMP; Gamble"	0.112827
Monsanto	0.111755
Pepsi	0.110274
"Network Associates"	0.10955
"Eastman Kodak"	0.109025
Reebok	0.108707
DaimlerChrysler	0.108453
Nestle	0.108131
Dupont	0.107844
"Kraft Foods"	0.107079
Merck	0.104469
Volkswagen	0.103999
"United Technologies"	0.103464
"American Express"	0.103382
Pfizer	0.102656
"Ford Motor Company"	0.101465
Hewlett-Packard	0.10102
Compaq	0.100317
"P&AMP;G"	0.1003
"R.J Reynolds"	0.100146
Xerox	0.100127
Cisco	0.0999759
Novell	0.0993517
MCDONALD's	0.0985728
RJR	0.0985076
Unisys	0.0982755
Exxon	0.0980131
Sunbeam	0.0976618
Kellogg	0.0976219
Sears	0.0973424
Georgia-Pacific	0.0972661
"Ford Motor Co."	0.0971945
SBC	0.0969129
Maytag	0.0966484
Intel	0.0962921
Qualcomm	0.0962774
Hasbro	0.0957947
GANNETT	0.095516
"International Paper"	0.0955062
"Sony Corp."	0.0954753
"Pepsi Cola"	0.095265
"Texas Instruments"	0.0952395
Cadbury	0.0950465
Bestfoods	0.0945865
BellSouth	0.0945452
IBM	0.0939929
Chevron	0.0937818
Medtronic	0.093498
Heinz	0.0930006
Mastercard	0.0925199
"Compaq Computer"	0.0922637
Alcoa	0.0916568
"Coca-Cola Enterprises"	0.0911542
"American Home"	0.0910126
"Real Networks"	0.0909621
Bristol-Myers	0.0908965
"J&AMP;J"	0.0907904
Litton	0.0906906
AlliedSignal	0.090393
"Union Carbide"	0.0902347
"Bell Atlantic"	0.0899126
Ericsson	0.0898257
"Delta Air Lines"	0.0891219
"Home Depot"	0.0890896
"Southern Co."	0.0890031
"MCI WorldCom"	0.0888991
L'Oreal	0.0888488
"Computer Associates"	0.0887966
Enron	0.0879418
oracle	0.0879278
"Eli Lilly"	0.087872
"American Home Products"	0.0877665
CCE	0.0875593
"Levi Strauss"	0.0875046
Mattel	0.0874485
"Adobe Systems"	0.0874416
Corel	0.087281
"Con Edison"	0.0870851
Citibank	0.0870655
"US Airways"	0.0870099
"News Corp."	0.0866944
Lockheed	0.0866806
"Merrill Lynch"	0.0861952
Scientific-Atlanta	0.0858308
HP	0.0856697
"Pacific Bell"	0.0856423
McDonalds	0.0854789
Colgate-Palmolive	0.085448
AHP	0.0853108
UAL	0.0852371
Immunex	0.0851744
Tropicana	0.0849408
"Apple Computer"	0.0845527
Amway	0.0844717
Citigroup	0.0835345
Nortel	0.0833937
"Gap Inc."	0.0833046
Broderbund	0.0832135
BankAmerica	0.0830384
Delphi	0.0830085
"General Motors Corp."	0.0829584
"Times Co."	0.0828957
Intuit	0.0828557
Toyota	0.0827404
"National Semiconductor"	0.0827109
MCI	0.0822237
Emulex	0.0818222
Heineken	0.0818216
Chrysler	0.08174
Instinet	0.0813135
Texaco	0.0812619
Sepracor	0.0810908
"Johnson &AMP; Johnson"	0.0809199
Starwood	0.0801791
Hyundai	0.0801541
"Compaq Computer Corp."	0.0800513
"Sprint PCS"	0.0800396
AMR	0.079521
"Philip Morris Cos."	0.0792476
"Dell Computer"	0.079157
Dell	0.0791249
Ge	0.0789406
"Dow Chemical"	0.0789368
"Aetna U.S. Healthcare"	0.0789303
"Silicon Graphics"	0.078784
Clorox	0.078759
"Glaxo Wellcome"	0.0787401
"General Electric Co."	0.0785739
VW	0.0783167
"Micron Technology"	0.0782621
Mercedes-Benz	0.0782617
"Lucent Technologies"	0.0778257
Symantec	0.0778002
GTE	0.0777625
REVLON	0.0777207
Duracell	0.0776764
Novartis	0.0776662
Ford	0.0774845
"Time Warner"	0.077354
Aetna	0.0771814
ETrade	0.0771242
RealNetworks	0.0770731
"Motorola Inc."	0.0766771
"Hewlett-Packard Co."	0.0766666
Schering-Plough	0.0766209
ENTERGY	0.0765886
Livent	0.076577
"United Airlines"	0.0762135
ExciteAtHome	0.0760897
Nissan	0.0760839
Barnesandnoble.com	0.0760589
Seagate	0.0759706
Autodesk	0.0759414
"Berkshire Hathaway"	0.0758711
MLB	0.0758175
NCR	0.0757361
Mobil	0.075726
Equifax	0.0755876
"UAL Corp."	0.0755739
ALZA	0.0754075
"Federal Express"	0.0753941
"Northwest Airlines"	0.0753818
"BP Amoco"	0.0752266
NationsBank	0.0752188
Corning	0.0751983
Searle	0.0751241
coke	0.0749782
ARCO	0.0749205
Humana	0.0746824
"Dow Corning"	0.0745675
"Consolidated Edison"	0.0745665
Fiat	0.074552
Sony	0.0744907
Bridgestone	0.0744823
Webvan	0.0744797
Chiron	0.0744467
"Trans World Airlines"	0.0742249
MiniMed	0.0741236
"Microsoft Corp."	0.0739688
))
(Anhui (desc 11095) (sims
Hunan	0.431769
Jiangxi	0.411026
Zhejiang	0.40963
Hebei	0.403583
Henan	0.392932
Hubei	0.391662
Sichuan	0.383629
Shaanxi	0.378897
Shandong	0.375429
Fujian	0.374255
Guizhou	0.373602
Jiangsu	0.373297
Shanxi	0.367779
Gansu	0.363452
Liaoning	0.354355
Heilongjiang	0.349565
Jilin	0.334033
Yunnan	0.314826
Hainan	0.308176
Guangdong	0.304156
Qinghai	0.290968
Guangxi	0.272377
Ningxia	0.272263
"Inner Mongolia"	0.272062
Xinjiang	0.246363
"Inner Mongolia Autonomous Region"	0.206194
Tianjin	0.196576
"Guangxi Zhuang Autonomous Region"	0.19539
"Anhui Province"	0.186316
"Jiangsu Province"	0.17109
Chongqing	0.168068
"Ningxia Hui Autonomous Region"	0.158727
"Chongqing Municipality"	0.154939
"Shanghai Municipality"	0.149565
Shanghai	0.149231
"Tibet Autonomous Region"	0.145772
"Xinjiang Uygur Autonomous Region"	0.145305
"Hebei Province"	0.144498
"Jiangxi Province"	0.144254
province	0.140957
"Zhejiang Province"	0.14081
"Fujian Province"	0.138333
"Liaoning Province"	0.138331
"Hunan Province"	0.134828
"Yunnan Province"	0.130436
"Guangdong Province"	0.127146
"Shandong Province"	0.125195
"Henan Province"	0.1228
"Shanxi Province"	0.121828
"Guizhou Province"	0.121328
"Hubei Province"	0.121025
"Jilin Province"	0.118974
"Sichuan Province"	0.115477
Tibet	0.11515
Pudong	0.114842
Shenzhen	0.113639
"Tianjin Municipality"	0.113508
Wuhan	0.110908
"Shaanxi Province"	0.110766
"Hainan Province"	0.10992
Guangzhou	0.108735
Hangzhou	0.107901
municipality	0.107529
"Qinghai Province"	0.107179
BEIJING	0.106931
"Heilongjiang Province"	0.105508
NANJING	0.103622
Sindh	0.1031
prefecture	0.101629
"Gansu Province"	0.0997493
Dalian	0.0996037
Xiamen	0.0993926
Punjab	0.0986362
Suzhou	0.0983366
Shenyang	0.0962425
CHENGDU	0.0915111
Fuzhou	0.0900258
Qingdao	0.0886549
Herat	0.0876978
Yantai	0.0870264
Mozambique	0.0864226
Lanzhou	0.0859462
Ningbo	0.0853104
Manitoba	0.0848638
Kwazulu-Natal	0.0848535
Harbin	0.0841556
Huambo	0.0829748
Gauteng	0.0825869
Tangshan	0.0822088
Cotabato	0.0816889
Jinan	0.0813647
Katanga	0.0807538
"Chiang Rai"	0.0803484
Wuxi	0.0794163
Bangladesh	0.0789878
Bekaa	0.07833
"North Maluku"	0.0774537
Myanmar	0.0768954
Haikou	0.0765098
"Ministry of Railways"	0.0764938
"Mekong Delta"	0.0763599
Kunming	0.0758104
"Irian Jaya"	0.0755258
Mpumalanga	0.0754194
Zambia	0.075368
CHANGCHUN	0.0753176
Vojvodina	0.0745711
Nyanza	0.0738426
Aceh	0.0738002
"Pudong New Area"	0.0732311
Hefei	0.0727576
Lijiang	0.0725924
Sofala	0.0721871
"Yangtze River Delta"	0.0718214
county	0.0714532
Putumayo	0.0711594
"Delta State"	0.0710106
Maluku	0.0705408
Luzon	0.070435
locality	0.0704083
BIE	0.0698182
Guilin	0.0695613
Antioquia	0.0691124
Pampanga	0.0690838
Alberta	0.069069
Lhasa	0.0689796
Nepal	0.0687391
"Sri Lanka"	0.068662
Mongolia	0.0686178
Thailand	0.0684255
Taiwan	0.0683903
Tete	0.0683694
Vietnam	0.0679554
"African country"	0.067559
Haier	0.0674277
Ethiopia	0.0673507
Balochistan	0.0672561
Palawan	0.066755
Jiujiang	0.0666448
Cabinda	0.0665517
Quanzhou	0.0663184
Dongguan	0.0660305
Weihai	0.0657374
Tanzania	0.0652521
Macao	0.0651531
Sumatra	0.0651031
Ontario	0.0646816
Zhengzhou	0.0645947
Uganda	0.0644204
"CHIANG MAI"	0.0642203
Shijiazhuang	0.0642054
Anshan	0.0641708
"Pearl River Delta"	0.0636261
Riau	0.0634531
Basilan	0.062648
Zhangjiajie	0.0621499
Zhangzhou	0.0620529
Bamiyan	0.0619381
Maguindanao	0.0615766
"municipal government"	0.0614482
ROK	0.0613963
Qinhuangdao	0.0610771
"Lower Saxony"	0.0609416
Mindanao	0.0609047
Ukraine	0.0607935
"Costa Rica"	0.0607734
Daqing	0.0606095
Shantou	0.060288
Changsha	0.0602604
Tunisia	0.0601838
Zhuhai	0.0601776
Krasnoyarsk	0.0600736
Yinchuan	0.060072
SDB	0.0597483
Quebec	0.0592894
Cambodia	0.0592586
"Ministry of Communications"	0.0591168
Singapore	0.0590284
Copperbelt	0.0589703
Luoyang	0.0589451
Golmud	0.0588925
Tigray	0.0588894
Benguela	0.058879
Oman	0.0588662
Qinghua	0.0588529
Venezuela	0.0588346
Phuket	0.058816
Bengkulu	0.0587241
Kenya	0.0587116
Laos	0.0586934
Guiyang	0.0584614
"East Kalimantan"	0.05826
Honduras	0.057781
"Metro Manila"	0.0576396
"Philippine Central Bank"	0.0575221
Lianyungang	0.057458
Taiyuan	0.0572803
"Tarim Basin"	0.0571941
"Lagos State"	0.0571537
Romania	0.0566985
))
("Anhui Province" (desc 10040.2) (sims
"Jiangsu Province"	0.255379
"Jiangxi Province"	0.253517
"Zhejiang Province"	0.252313
"Shanxi Province"	0.240304
"Shandong Province"	0.23804
"Jilin Province"	0.231929
"Henan Province"	0.223431
"Fujian Province"	0.220982
"Guizhou Province"	0.216305
"Sichuan Province"	0.215498
"Hunan Province"	0.211359
"Guangxi Zhuang Autonomous Region"	0.209445
"Liaoning Province"	0.209315
"Hebei Province"	0.20484
"Ningxia Hui Autonomous Region"	0.204523
"Shaanxi Province"	0.200455
"Yunnan Province"	0.194558
"Hubei Province"	0.192367
"Heilongjiang Province"	0.187741
Anhui	0.186316
"Gansu Province"	0.181998
"Qinghai Province"	0.180498
"Guangdong Province"	0.174966
"Xinjiang Uygur Autonomous Region"	0.172534
"Inner Mongolia Autonomous Region"	0.170704
Zhejiang	0.164964
Shanxi	0.164896
"Hainan Province"	0.163218
"Tibet Autonomous Region"	0.158043
Jiangsu	0.151544
Shaanxi	0.150088
Hunan	0.149719
Sichuan	0.148379
Fujian	0.145465
Shandong	0.143727
"Inner Mongolia"	0.143199
Gansu	0.138743
Hubei	0.137164
Hebei	0.136309
Guangdong	0.135844
Ningxia	0.134159
Henan	0.130546
Jiangxi	0.130088
"Chongqing Municipality"	0.128461
Xinjiang	0.127999
Guizhou	0.127211
Qinghai	0.126357
Yunnan	0.125855
Heilongjiang	0.121416
Liaoning	0.120978
Hainan	0.119216
Guangxi	0.118518
province	0.113211
Tianjin	0.112527
Wuhan	0.110344
Yantai	0.106368
Chongqing	0.105703
"Yangtze River Delta"	0.103701
Shanghai	0.102642
Jilin	0.0981933
Qingdao	0.0980904
prefecture	0.0978777
Guangzhou	0.0965874
municipality	0.0963437
Tibet	0.0951703
"Pearl River Delta"	0.0933992
NANJING	0.0932681
Hangzhou	0.0908666
Suzhou	0.0893173
Jinan	0.0857776
Shenzhen	0.0854896
Harbin	0.0832716
"Shanghai Municipality"	0.0828008
Hefei	0.0825691
Dalian	0.0823149
Shenyang	0.0817988
"Pudong New Area"	0.0815866
Xiamen	0.080234
Zhengzhou	0.0774435
Tangshan	0.0773992
Fuzhou	0.0772603
"Tianjin Municipality"	0.0771792
Haikou	0.0767877
Qufu	0.0754046
Anshan	0.0752211
Pudong	0.0749989
Lanzhou	0.0742885
Wuxi	0.0737882
Mozambique	0.0737543
Quanzhou	0.0728447
"Suzhou Industrial Park"	0.0727161
"Bohai Bay"	0.0727129
Ningbo	0.0720633
metropolis	0.0718159
SEZs	0.0713097
"North West Frontier Province"	0.0711499
Lhasa	0.0707848
"Taiwan Province"	0.0705696
CHENGDU	0.0699148
"Qaidam Basin"	0.0698971
Shijiazhuang	0.0698122
Bangladesh	0.069598
Myanmar	0.069399
Yinchuan	0.0693692
Changsha	0.0687677
Kunming	0.0686852
"Tarim Basin"	0.0685717
Turpan	0.0685238
Zhuhai	0.0683302
Bishkek	0.0679061
county	0.0675659
"Shenzhen Special Economic Zone"	0.0672337
CHANGCHUN	0.06679
Xining	0.0667252
Siberia	0.0659947
Mongolia	0.0659608
"rural area"	0.0656287
Taiyuan	0.0654238
locality	0.0638679
Guilin	0.0638009
"Sri Lanka"	0.0634869
Guiyang	0.0634329
Zhangzhou	0.0632913
Urumqi	0.063003
Zambia	0.0628214
"Loess Plateau"	0.0626211
Nanning	0.0625733
"suburban area"	0.0623633
Kenya	0.0623277
Dongguan	0.0622513
Datong	0.062158
township	0.0619239
Lianyungang	0.0616836
"African country"	0.0609589
"provincial capital"	0.0609296
"Palace Museum"	0.0608392
Namibia	0.0604938
"Rift Valley Province"	0.0603106
Uganda	0.0599358
Weihai	0.059867
Ethiopia	0.0595824
"financial center"	0.0591783
"Hainan Island"	0.0588978
Laos	0.0588198
Panzhihua	0.058758
Macao	0.0585143
Weifang	0.05833
Zhongguancun	0.0579587
Wenzhou	0.0578674
"Andhra Pradesh"	0.0577223
"Shan State"	0.0575381
Yichang	0.0573708
Botswana	0.0573136
"Special Economic Zones"	0.0569467
Jiujiang	0.0569318
Honduras	0.0568766
Nepal	0.0568561
"Shenzhen City"	0.0566707
Ltd	0.0565574
Bolivia	0.0564286
Tanzania	0.0563304
Kazakhstan	0.0562126
Xian	0.0558622
Yangzhou	0.055783
Kyrgyzstan	0.0556599
"Costa Rica"	0.0556561
Tunisia	0.0553117
governorate	0.0549919
Philippines	0.0549834
"Bohai Sea"	0.0549212
"special economic zone"	0.0548103
Golmud	0.054763
valley	0.0546215
Sanya	0.0545605
Bangkok	0.0544613
Bulgaria	0.0541621
HANOI	0.0540559
"municipal government"	0.0537409
Ghana	0.0536071
Maldives	0.0535712
"Uttar Pradesh"	0.053519
"Ho Chi Minh City"	0.0534003
Changzhou	0.0530554
Eritrea	0.052642
Mali	0.0525638
Peru	0.0524887
mainland	0.0524836
Hohhot	0.0524702
Brittany	0.0524449
"African nation"	0.0524164
"China Southern Airlines"	0.0520749
Punjab	0.0520727
Ukraine	0.0519195
Shantou	0.0518637
"Asian nation"	0.0518338
"urban area"	0.0518281
hinterland	0.0515815
"Delta State"	0.051553
Armenia	0.0515282
Lijiang	0.0514985
))
(ani (desc 998.489) (sims
"Bank of Scotland"	0.0985689
NiSource	0.09848
RAMBUS	0.0939497
NatWest	0.0902475
Litton	0.0881167
YPF	0.0846198
Italia	0.077296
Stratus	0.0761014
"Phelps Dodge"	0.0757002
Neeman	0.0754832
Asarco	0.0753892
"Advanced Micro"	0.0745647
"Banque Nationale"	0.0744369
RJR	0.0743426
Tandy	0.074047
Kasoulides	0.0736488
TYCO	0.0718355
Totalfina	0.0718008
Terra	0.0717811
"Thermo Electron"	0.0714497
Olivetti	0.0707375
CMG	0.0705717
Zapata	0.0699729
BCE	0.0696221
Malu	0.0690786
"Nissan Motor"	0.0685133
Petrofina	0.067364
Sepracor	0.0673379
Alcoa	0.0662352
VENATOR	0.0661147
Sumaye	0.0660934
AHP	0.0656177
Comsat	0.0653068
PLDT	0.0649479
Barad	0.0649183
Icahn	0.0642458
ENTERGY	0.0639251
Hasan	0.0638352
LVMH	0.0635157
Medtronic	0.0631946
ICI	0.0627751
om	0.0622395
XYLAN	0.0619657
Associates	0.0619519
Gilead	0.0619091
Agilent	0.0616749
"world market"	0.0613497
ITT	0.0613438
Publicis	0.0612521
TELLABS	0.0610097
Singson	0.0604302
GEC	0.0598627
"Times Co."	0.0598597
VICKERS	0.0591967
MiniMed	0.0591634
Ikimi	0.0587248
meatpackers	0.0581287
"Boston Scientific"	0.0579736
Donohue	0.0579086
Seagate	0.0569736
Bridgestone	0.0566569
Phelps	0.0563925
Jorgensen	0.0561144
Sells	0.0556586
BSKyB	0.0555737
Harmoko	0.0552711
prentice	0.0549902
Haq	0.0549589
Deutsche	0.0549297
Mondavi	0.0546812
SkyTel	0.0546297
Viag	0.0545377
Daiwa	0.0544283
"International Paper"	0.054404
millon	0.0539571
WELLPOINT	0.0539106
"USA Networks"	0.0534043
Cendant	0.053371
Albertson's	0.0532873
AlliedSignal	0.0531774
Bronson	0.0531623
Autodesk	0.0531601
Menard	0.0530777
"France Telecom"	0.0528974
"administration official"	0.0528437
"Burlington Northern"	0.0528274
Emulex	0.0528163
McMullen	0.0527263
Cabot	0.0526322
WPP	0.0526319
Starwood	0.0524858
Rylander	0.0523572
Angara	0.0522151
"New York Times Co."	0.0521263
Pitney	0.0521146
"Atlantic Richfield"	0.052015
Ti	0.0518936
kingfisher	0.0518145
COLTEC	0.0517239
Ciena	0.0517173
McKesson	0.0513229
Pairgain	0.0512272
"U.S. Trust"	0.0511646
Tenneco	0.0509677
IDT	0.0509334
RWE	0.0509036
HBOC	0.0508703
VEBA	0.0506457
AutoNation	0.0506174
Asda	0.0505632
Borden	0.0505298
NORTHROP	0.050488
"RJR Nabisco"	0.0504323
Allchin	0.0500122
CPF	0.0499615
Eurotunnel	0.049788
Ertl	0.0496899
Manley	0.0496681
Storin	0.0496615
"National Invitation Tournament"	0.0494393
Milstein	0.0494329
Omnipoint	0.0493418
Mannesmann	0.0493179
"Telecom Italia"	0.0493102
Fingerhut	0.0492665
Kesri	0.0492582
UAL	0.0492054
Dresdner	0.0491878
"HBO &AMP; Co."	0.0491795
Harcourt	0.0491781
Unilever	0.0491162
Maritz	0.0485478
Chris-Craft	0.0485294
Carlton	0.0484906
sandpiper	0.0484839
Khalil	0.0481853
Goodrich	0.0481167
CBK	0.0481098
"Eli Lilly"	0.0479951
AMR	0.0479719
Softbank	0.0479157
Colgate-Palmolive	0.0476257
VoiceStream	0.0476198
McCaw	0.047376
Saenz	0.0472122
Georgia-Pacific	0.0469979
"Fred Meyer"	0.0469537
KA	0.046878
Zarb	0.0467334
Primedia	0.0466632
"Ford Motor"	0.0466515
ExciteAtHome	0.0464431
ALZA	0.0464037
"entrance fee"	0.0463742
E-LOAN	0.046307
"Pacific Century"	0.0462395
NTL	0.0462187
Lansky	0.0462045
S@	0.0461897
Lucasfilm	0.04612
Mohamad	0.0460312
"Campbell Soup"	0.0459607
Muluzi	0.0459277
SingTel	0.0459138
Micron	0.0458916
DeFrantz	0.0458225
Maytag	0.0457337
eleventh-hour	0.045661
REIT	0.0455952
Hynes	0.0454739
SunTrust	0.0454704
IP	0.0449326
Lerner	0.0448856
"Gator Bowl"	0.0448072
Omnicom	0.0447809
Interpublic	0.0446482
"Park Place"	0.0446087
Cabletron	0.0445592
Mukora	0.0445408
Hewlett	0.044516
Sybase	0.044493
"Israeli Foreign Ministry"	0.0443494
"Food Lion"	0.0442732
newsweekly	0.044103
"Chronicle Publishing"	0.044059
Ruehe	0.0438839
"Royal Bank"	0.0438304
Iomega	0.0438271
LTCB	0.0438037
O'Meara's	0.0437204
Aoki	0.0436953
Creationists	0.0436671
Akamai	0.043639
Scientific-Atlanta	0.0436296
Govt	0.0435383
Dreyfus	0.0435316
Cadbury	0.043504
Murkowski	0.0434661
Informix	0.0433893
Berkshire	0.0433319
))
(Anil (desc 1443.86) (sims
Agarkar	0.139232
Leopold	0.130744
Kumble	0.1182
Mullally	0.104262
Chopra	0.102795
Headley	0.0933783
MacGill	0.0866789
Marley	0.0818574
Muralitharan	0.0755925
Akram	0.0750479
heath	0.07339
Kallis	0.0664906
Lehmann	0.0662812
"Glenn McGrath"	0.0656093
Cairns	0.0645472
Gough	0.0627543
Dillon	0.0604929
McGrath	0.0599916
McMillan	0.0566518
"Damien Fleming"	0.0563891
Ambrose	0.0527789
"Sam Shepard"	0.0487916
"Moin Khan"	0.0481632
Baca	0.0479783
Tendulkar	0.0474448
"Ijaz Ahmed"	0.043505
McNally	0.0428959
Cronje	0.0425109
Venter	0.0425017
Croft	0.0414802
"Charles Dickens"	0.0410412
"Stuart MacGill"	0.0410232
Ramprakash	0.0400732
))
(animal (desc 137940) (sims
bird	0.20256
specie	0.191362
monkey	0.170419
mice	0.169848
human	0.169656
mammal	0.16749
Livestock	0.166616
cow	0.166118
elephant	0.165897
dog	0.165732
creature	0.164169
pig	0.163727
cattle	0.163303
wildlife	0.155011
deer	0.154573
fish	0.151698
sheep	0.150608
rat	0.147189
insect	0.1432
patient	0.136547
pet	0.136382
CAT	0.13495
"giant panda"	0.133776
child	0.12947
horse	0.126719
tiger	0.126592
people	0.124638
"human being"	0.124597
goat	0.124535
panda	0.123813
Dinosaur	0.118621
snake	0.11563
turtle	0.115546
bear	0.114968
"domestic animal"	0.11437
whale	0.112249
baby	0.111425
plant	0.111396
rodent	0.109232
chimpanzee	0.108484
organism	0.108261
infant	0.107011
woman	0.106188
Primate	0.106059
person	0.105626
reptile	0.103442
chicken	0.102801
man	0.102062
"farm animal"	0.101783
beast	0.100992
mosquito	0.10096
antelope	0.100814
rabbit	0.0973911
cell	0.0969817
tree	0.0968931
adult	0.0965967
object	0.0947993
fossil	0.0943151
kid	0.09314
critters	0.0927715
crocodile	0.0920524
crop	0.0913062
lion	0.0910765
chimp	0.0906806
fetus	0.0896269
victim	0.0894924
food	0.08917
bacteria	0.0889848
girl	0.0885676
rhino	0.0885596
Embryo	0.0880807
material	0.0879458
frog	0.087658
refugee	0.0867946
flower	0.086713
poultry	0.086307
herd	0.0861327
predator	0.0857368
boy	0.0857359
ecosystem	0.0853032
fruit	0.0852907
individual	0.0852751
ape	0.0847825
relic	0.0847265
hog	0.0844384
alligator	0.0843544
virus	0.0842248
elk	0.0841182
butterfly	0.0840486
meat	0.0831193
prisoner	0.0828154
athlete	0.0827361
inmate	0.0825335
population	0.0825016
product	0.0822279
artifact	0.0821033
male	0.0819006
lizard	0.0817943
wolf	0.0812643
egg	0.080897
specimen	0.0808245
body	0.0806463
family	0.0806387
item	0.0806013
gorilla	0.0804809
"sea turtle"	0.0799147
character	0.0798999
worker	0.0797385
environment	0.0796876
toy	0.0790462
others	0.0790127
tissue	0.0789688
pigeon	0.0786221
mother	0.078178
immigrant	0.0777747
pest	0.0775763
type	0.0774527
vehicle	0.0772241
civilian	0.0771764
variety	0.0769099
dolphin	0.0768737
vegetable	0.0763985
resident	0.0763371
calf	0.0763076
worm	0.0762529
citizen	0.0762002
"black bear"	0.0760672
female	0.0759785
soldier	0.0754734
duck	0.0753975
American	0.075376
shark	0.07533
microbe	0.074968
disease	0.0749236
them	0.0748974
student	0.0748462
painting	0.0746904
life	0.0746263
passenger	0.0741684
doll	0.0737903
bug	0.0734051
those	0.0733634
leopard	0.0733107
moose	0.0730264
sturgeon	0.0726878
sample	0.0726582
alien	0.0723648
tourist	0.0722779
Gene	0.0719972
spider	0.0717963
"human body"	0.071634
chemical	0.0714835
parrot	0.0714388
youngster	0.0711757
car	0.0711521
machine	0.0711367
habitat	0.0711284
camel	0.0707013
grain	0.0706584
Crane	0.0705184
bull	0.0704141
mouse	0.0703997
Computer	0.0703873
geese	0.0703393
bison	0.0703149
drug	0.0702915
someone	0.0702868
beetle	0.0702638
weapon	0.0702469
ant	0.0702326
farmer	0.0701155
squirrel	0.070073
"young man"	0.0695853
Robot	0.0695294
culture	0.0691739
land	0.0691648
guy	0.0690051
forest	0.0688311
brain	0.0686882
gun	0.0686801
"young woman"	0.0686761
lamb	0.0685415
villager	0.0681262
goods	0.0680802
teen-ager	0.0679971
firearm	0.0679017
owl	0.0678921
art	0.0677577
kind	0.0673914
salmon	0.067314
vegetation	0.0672301
farm	0.0671505
ones	0.0670789
criminal	0.0670486
some	0.0670336
blood	0.0670076
medicine	0.0669172
resource	0.0666547
industry	0.0666518
swan	0.0665912
))
("animal disease" (desc 1575.28) (sims
"foot-and-mouth disease"	0.230455
rinderpest	0.213984
"communicable disease"	0.1859
"contagious disease"	0.180437
"plant disease"	0.178814
"infectious disease"	0.146378
canker	0.144114
Rabies	0.138889
"acquired immune deficiency syndrome"	0.134839
"sexually transmitted disease"	0.129501
leprosy	0.127625
"water hyacinth"	0.126943
IDD	0.117776
"respiratory disease"	0.114156
"dengue fever"	0.113273
"water pollution"	0.112448
STDs	0.112064
"juvenile delinquency"	0.110755
malaria	0.110577
Hantavirus	0.108009
Dengue	0.107961
tuberculosis	0.105511
pathogen	0.105019
smallpox	0.10461
"skin disease"	0.10145
"typhoid fever"	0.0997947
cholera	0.0970635
"food poisoning"	0.0966316
pest	0.0963828
ebola	0.0960611
"HIV/ AIDS"	0.0958797
"tooth decay"	0.0956101
Tb	0.0948219
polio	0.0946807
encephalitis	0.092656
pandemic	0.0922988
trachoma	0.0921773
"eye disease"	0.0913985
poliomyelitis	0.0910801
BSE	0.0895187
"acid rain"	0.0873675
"soil erosion"	0.086609
"drug abuse"	0.0863981
blindness	0.0858512
desertification	0.0857591
locust	0.0844045
Meningitis	0.0837228
infestation	0.0831213
"yellow fever"	0.0823538
hyacinth	0.0816559
germ	0.0811774
microbe	0.0809858
hepatitis	0.0807866
diarrhoea	0.0804763
"AIDS virus"	0.0797882
cryptosporidium	0.0796409
influenza	0.0794849
"neurological disease"	0.0782323
O@@@:H@	0.0768359
hooliganism	0.0762348
HIV/AIDS	0.0755106
"fruit fly"	0.0752196
"coca crop"	0.0751593
coli	0.0742842
"hepatitis B"	0.0742121
"venereal disease"	0.0740417
giardia	0.0736591
diarrhea	0.0734132
decompression	0.0729919
measles	0.0715099
scourge	0.0708648
encephalopathy	0.0706694
rollovers	0.0702747
adenovirus	0.07019
"drug trade"	0.0701679
gastroenteritis	0.0696045
"West Nile"	0.0686311
syphilis	0.0686065
poaching	0.0685746
parasite	0.0684973
fungus	0.0683303
"hepatitis A"	0.0682753
weeds	0.0680365
"air pollution"	0.0676705
Dysentery	0.0670176
Pestilence	0.0667271
"genetic disease"	0.0664482
"Human Immunodeficiency Virus"	0.0661938
"crisis situation"	0.0661695
flu	0.0655472
pneumonia	0.0648203
sweatshop	0.0641785
anthrax	0.0637539
illiteracy	0.0634561
malfeasance	0.0632518
salmonella	0.0623605
typhoid	0.0623076
"forest fire"	0.0622307
aphid	0.0614173
malnutrition	0.0613873
"heroin addiction"	0.0611337
anemia	0.0610099
sandstorm	0.0608919
sickness	0.0606577
listeria	0.0604704
hypertension	0.0596257
malady	0.059444
poisoning	0.0593381
"dust storm"	0.0587217
"Lyme disease"	0.0586963
"cardiovascular disease"	0.0584861
transnationals	0.0576037
salinity	0.0573433
"bank failure"	0.0570902
malignancy	0.0567126
botulism	0.0561032
"blood sugar"	0.0560807
wildfire	0.0559334
laundering	0.0558913
herpes	0.0558719
"solar radiation"	0.0557754
calamity	0.0556141
"drug addiction"	0.0554573
backsliding	0.0552714
termite	0.0551211
degradation	0.0549531
"neurological disorder"	0.0546684
gangrene	0.0544393
extremism	0.0543772
"alcohol abuse"	0.0543449
Muslim-Croat	0.0543209
blight	0.0540429
"asthma attack"	0.0538544
"blood clot"	0.0537349
sectarianism	0.0536762
recidivism	0.0535502
"mental disorder"	0.0529786
"ultraviolet light"	0.0527108
"child abuse"	0.0526978
Creationists	0.0524985
eventuality	0.0523038
"evil spirit"	0.0521884
"Love Bug"	0.052124
"ultraviolet radiation"	0.0516567
invertebrate	0.0514249
banditry	0.0513069
flare-up	0.0510048
gonorrhea	0.0509972
clotting	0.0508882
"circadian rhythm"	0.0508707
lawlessness	0.0506629
deformation	0.0506173
overheating	0.050488
recurrence	0.0503309
quasar	0.0502235
contagion	0.0499153
homelessness	0.0498744
legionnaire	0.049833
"human activity"	0.0496879
"mountain gorilla"	0.0494028
agronomy	0.0492729
"lead poisoning"	0.0492173
destabilization	0.0488488
fungi	0.0486362
hypotheses	0.0485245
"mental illness"	0.0484702
Obesity	0.0482716
deforestation	0.0482679
tetanus	0.0481582
hailstorm	0.0478938
toxin	0.0478133
"brain wave"	0.0477878
"fire ant"	0.0475456
ergonomics	0.047509
"liquidity problem"	0.0474797
"mechanical device"	0.0472768
aperitif	0.0471646
clot	0.0471176
bacillus	0.0469876
"crime wave"	0.0468315
stomachache	0.0466762
rodent	0.0466747
"chemical reaction"	0.0466379
"volcanic eruption"	0.0465993
"brain drain"	0.0463363
wasting	0.046322
"Atlantic salmon"	0.0462107
"urban sprawl"	0.0461421
Lice	0.0461414
"scientific knowledge"	0.0460623
CJD	0.0459855
transshipment	0.0458768
Osteoporosis	0.0458551
entanglement	0.0458214
inflammation	0.0455959
glucose	0.0454562
"memory loss"	0.0453024
trawler	0.0452266
side-effects	0.0451697
gallstone	0.045124
))
("Animal Farm" (desc 1237.65) (sims
"Starr Report"	0.08377
Moby-Dick	0.0748639
"Eyes Wide Shut"	0.0735943
"Satanic Verses"	0.0693249
monograph	0.0689222
Beowulf	0.0666749
Ulysses	0.0642848
"Star-Spangled Banner"	0.0638876
Lolita	0.0621567
"literary work"	0.0606012
Talmud	0.0598794
"Animal House"	0.0595425
Nitro	0.0578605
"Civil Action"	0.0545509
"Moby Dick"	0.0535403
Catch-@@	0.0532335
psalm	0.0531699
"UNIX operating system"	0.0528565
"Perfect Storm"	0.0525474
"Christmas carol"	0.0520875
"Don Quixote"	0.0517583
"Central Station"	0.0509399
"Fight Club"	0.0502573
obit	0.0502564
"adventure story"	0.0501194
"Green Mile"	0.0499693
"Great Gatsby"	0.0497926
Dolittle	0.0497335
"Peony Pavilion"	0.0497159
"Primary Colors"	0.049695
libretto	0.0494195
"Garden of Eden"	0.0494068
"Harry Potter"	0.0489996
Hunchback	0.0486071
novella	0.0485824
Hurlyburly	0.0479583
"Iron Giant"	0.0478391
"True West"	0.0474477
Win@@	0.047309
OED	0.0463631
"Great Expectations"	0.0450854
"New Testament"	0.0450132
"tea leaf"	0.0449988
"English Patient"	0.0444804
Bette	0.0440794
"Thomas Crown Affair"	0.0431904
"Richard III"	0.0429057
McKellen	0.0428047
"Brady Bunch"	0.0417738
IE	0.0416657
"Beauty Queen"	0.0415759
Humvee	0.0414235
"Mod Squad"	0.041206
RealPlayer	0.0410399
))
("animal fat" (desc 1465.03) (sims
blubber	0.129652
carbohydrate	0.124403
"fatty acid"	0.118742
lard	0.115177
offal	0.106206
"animal product"	0.104305
"dairy product"	0.103506
calory	0.098035
"vitamin C"	0.0972041
"soybean oil"	0.0931461
starch	0.09061
antioxidant	0.0879886
potassium	0.0817142
"egg yolk"	0.0813776
Calcium	0.0808077
nitrogen	0.0800353
"vitamin A"	0.0799133
tofu	0.0794381
"raw meat"	0.0772069
vitamin	0.0724584
"raw vegetable"	0.0714221
"coconut milk"	0.0692841
"vegetable oil"	0.0674424
CFCs	0.0671283
"growth hormone"	0.0658098
"chicken stock"	0.0657228
"fruit juice"	0.0629641
entrails	0.0613423
soy	0.0609797
sodium	0.0600742
CO@	0.0595501
"milk powder"	0.059483
margarine	0.0594356
mutton	0.0585565
carbon	0.0578232
"citrus fruit"	0.0568557
by-product	0.0566873
pseudoephedrine	0.0562639
veggie	0.0556323
capsaicin	0.0555381
"amino acid"	0.0549156
"food product"	0.0539683
fowl	0.0536156
porridge	0.0519931
shellfish	0.0518214
caffeine	0.0515001
nandrolone	0.051197
cornstarch	0.0508053
applesauce	0.0507557
"vitamin E"	0.0507078
"food grain"	0.050491
"tuna fish"	0.0504494
Masa	0.0502063
"Swiss cheese"	0.0500612
platelet	0.0498795
"bamboo shoot"	0.048831
antigen	0.048236
neurotransmitter	0.0479492
"fish meal"	0.0478465
carotene	0.0476517
"snack food"	0.0471918
"dog food"	0.0471676
"fresh food"	0.0470568
C-section	0.0470155
stanozolol	0.0468157
"coconut oil"	0.0462965
"ground beef"	0.0462881
"beef cattle"	0.0462792
"heavy cream"	0.0460561
hotdog	0.0459794
"dried fruit"	0.0459272
"peanut oil"	0.045833
"canned food"	0.0457822
vermiculite	0.0456241
"national income"	0.045004
lentil	0.0448376
popsicle	0.0442182
"tomato sauce"	0.043714
"orange peel"	0.0436438
calorie	0.0436166
cyanide	0.0435552
"powdered milk"	0.0430978
"sea food"	0.0430634
buttermilk	0.0426759
"iron ore"	0.0425928
"cane sugar"	0.0422959
"waste material"	0.0422777
PCBs	0.0420915
lysine	0.0419849
sachet	0.0412515
"sugar beet"	0.0410674
"liquefied petroleum gas"	0.0404491
Parmigiano-Reggiano	0.0404115
cortisone	0.0403426
ketchup	0.0401995
"balanced diet"	0.0400449
oilseed	0.0400113
))
("Animal House" (desc 2252.6) (sims
"Jerry Maguire"	0.113699
"American Pie"	0.104445
"Blade Runner"	0.0988843
"L.A Confidential"	0.0940097
Tootsie	0.0919262
"Natural Born Killers"	0.0878611
"Toy Story"	0.0860962
"Cruel Intentions"	0.0821889
"Jurassic Park"	0.0807327
"Runaway Bride"	0.0788609
"Eyes Wide Shut"	0.0785987
"Galaxy Quest"	0.0781742
"Patch Adams"	0.0779636
"Mighty Joe Young"	0.0778985
"Pulp Fiction"	0.0777006
"high fidelity"	0.0770841
Goodfellas	0.0760737
EdTV	0.0759142
"Titan A.E."	0.0758759
"Being John Malkovich"	0.0756481
Bowfinger	0.0754637
"Primary Colors"	0.0739349
Bulworth	0.0734133
psycho	0.0726601
U-@@@	0.0725905
"Parent Trap"	0.07213
Hoosier	0.0720837
"Mickey Blue Eyes"	0.0716967
"Smoke Signals"	0.0715116
"Austin Powers"	0.0713978
"chicken run"	0.0712175
"Dirty Dancing"	0.0709026
"South Park"	0.070778
"Boogie Nights"	0.0704145
"Thomas Crown Affair"	0.0698275
"American Beauty"	0.0696393
Pinocchio	0.0695553
"Opium War"	0.0690582
serendipity	0.0678816
"Top Gun"	0.0676706
"Saving Private Ryan"	0.0674903
Amadeus	0.0674317
Rushmore	0.0672151
"Stuart Little"	0.0659982
"Good Will Hunting"	0.0640818
"Inspector Gadget"	0.0638568
Antz	0.0636749
Jawbreaker	0.0631776
FARGO	0.0630569
"King Kong"	0.0610193
"Cradle Will Rock"	0.0610156
"Forrest Gump"	0.0605262
"Indiana Jones"	0.060482
Footloose	0.0597326
"Night Fever"	0.0596848
"Animal Farm"	0.0595425
"Princess Mononoke"	0.058848
"Citizen Kane"	0.0584187
"Little Voice"	0.0582329
"Notting Hill"	0.0579817
Pleasantville	0.0574961
Mulan	0.0573562
"Life Is Beautiful"	0.0572714
"wing commander"	0.0569803
ROUNDERS	0.0569391
"Don Juan"	0.0567812
"snake eyes"	0.0564653
noir	0.0561806
"Erin Brockovich"	0.0556676
"Fantasy Island"	0.0553543
Armageddon	0.0550589
Godzilla	0.0546623
"Sesame Street"	0.0545133
indie	0.0544936
"Lethal Weapon"	0.0542348
"James Bond"	0.0540479
"best man"	0.0535046
"Central Station"	0.0526531
E.T	0.0524809
"Clockwork Orange"	0.0524045
"Star-Spangled Banner"	0.0523221
"Monty Python"	0.0512734
Gladiator	0.0512467
Sabrina	0.0510067
Trainspotting	0.0509656
Amistad	0.0506245
"love story"	0.0505624
Elijah	0.0504005
Monkees	0.0503144
SIESTA	0.0502739
"Fight Club"	0.0502461
Rashomon	0.050226
artsy	0.0502169
"Waking Ned Devine"	0.0498821
"High Art"	0.049699
"pitch black"	0.0496604
"high fashion"	0.0496008
"True Thing"	0.0495859
Catch-@@	0.0488888
"high noon"	0.0487001
Seinfeld	0.0486603
"Velvet Goldmine"	0.0484948
"wild West"	0.0484613
Pecker	0.0484053
"silent movie"	0.048307
"night vision"	0.0482173
"Sleepy Hollow"	0.0478746
"Nurse Betty"	0.0478482
"Get Real"	0.047543
"Big Daddy"	0.0474885
"Twilight Zone"	0.0473464
"Hello Kitty"	0.047187
"game show"	0.047026
Everest	0.0470161
Thelma	0.0469191
Casablanca	0.0469142
Titus	0.0469128
"Windy City"	0.0467185
"silver screen"	0.0467103
Batman	0.0465361
"Space Cowboys"	0.0464156
dogma	0.0462749
"UNIX operating system"	0.0460542
Rhapsody	0.0459165
Dracula	0.0458511
Moby-Dick	0.0456299
"Got Mail"	0.0455969
Dolittle	0.0455474
Bambi	0.0454998
subgenre	0.0452285
"tough guy"	0.0452185
minstrel	0.0452026
newsreel	0.0451162
Frankenstein	0.0448963
tango	0.0447845
oddball	0.0447752
Samson	0.0447666
"Double Jeopardy"	0.0446261
megaplex	0.0444136
Berle	0.044227
Fantasia	0.0441504
around-the-clock	0.0439325
Annie	0.0439137
"upper crust"	0.0438477
"picture show"	0.0438363
Lolita	0.0437609
Superman	0.0436866
X-MEN	0.0435501
"Starr Report"	0.0434694
"Private Ryan"	0.0434338
JFK	0.0433948
"Dudley Do-Right"	0.0429009
Halloween	0.0428292
"Rat Pack"	0.0428075
Patton	0.042735
Hunchback	0.0422009
"Lake Placid"	0.042003
Madeline	0.0418696
Matrix	0.0416904
WordPerfect	0.0416702
"Star Trek"	0.0416353
"Brady Bunch"	0.0416331
Paulie	0.0415465
"wonder boy"	0.0414545
perestroika	0.0414538
Nutcracker	0.0414108
gadfly	0.0412488
"Blair Witch Project"	0.0410599
Stigmata	0.0409101
"Family Guy"	0.0407986
stills	0.040701
showgirl	0.0405011
"Meet Joe Black"	0.040493
tumbleweed	0.0403958
"Joe Camel"	0.0403092
scriptwriter	0.0400807
tingle	0.0400435
))
("animal husbandry" (desc 10893.2) (sims
aquaculture	0.257048
forestry	0.251
husbandry	0.212054
fishery	0.195564
aquiculture	0.186094
agriculture	0.18463
"chemical industry"	0.183422
processing	0.178537
farming	0.169838
Livestock	0.168285
petrochemical	0.167209
mining	0.16707
breeding	0.158644
agricultural	0.158495
metallurgy	0.157589
conservancy	0.153709
"building material"	0.15137
aquatics	0.150427
tourism	0.146645
irrigation	0.145118
hydropower	0.141744
horticulture	0.14086
"electronics industry"	0.139824
manufacturing	0.138493
shipbuilding	0.137527
cultivation	0.131568
"wind power"	0.126287
"high technology"	0.123326
bioengineering	0.120296
"soil conservation"	0.120116
afforestation	0.119927
telecommunication	0.11894
"mineral resource"	0.117188
petroleum	0.117069
"nuclear energy"	0.116779
agronomy	0.114379
"road construction"	0.11385
export-oriented	0.112055
poultry	0.11188
biotechnology	0.111611
industrialization	0.11156
aviation	0.111059
machine-building	0.110912
textile	0.110679
handicraft	0.110447
"information technology"	0.11037
pharmaceutical	0.110168
"construction industry"	0.109149
fishing	0.108356
electronics	0.10671
planting	0.106258
transportation	0.105178
conservation	0.105063
refining	0.104566
reclamation	0.102794
transport	0.100871
aerospace	0.100366
high-tech	0.0998624
dairy	0.0990171
machinery	0.0985334
"civil engineering"	0.0982655
"natural resource"	0.0979901
ranching	0.0978062
timber	0.0964578
construction	0.095495
"industrial enterprise"	0.0954353
foodstuff	0.095002
plantation	0.0947544
agribusiness	0.0944734
"life science"	0.0943764
"automobile industry"	0.0943571
mineral	0.0937235
infrastructure	0.0914766
utilization	0.0911806
"real estate"	0.0906494
commerce	0.0905021
urbanization	0.090339
engineering	0.0900046
shipping	0.0899542
"steel production"	0.0898839
crop	0.0897833
Telecoms	0.0894714
"coal gas"	0.0894332
"consumer goods"	0.0881098
"electric power"	0.0874352
"public works"	0.0871553
ecology	0.0863847
grain	0.0856848
"flood control"	0.085408
retailing	0.0844007
warehousing	0.0843959
"water supply"	0.0842377
"frozen food"	0.0842095
"cashew nut"	0.0839607
energy	0.0835105
agro-technology	0.0833097
aeronautics	0.0829901
"higher education"	0.0826526
enterprise	0.0819288
biodiversity	0.0816738
"shipbuilding industry"	0.08138
high-yield	0.0804715
Coal	0.0802788
"medical science"	0.080259
"coal industry"	0.0800727
oilseed	0.0791916
rearing	0.0791414
extraction	0.0787323
"sugar cane"	0.078659
logging	0.0784622
garment	0.078289
"oil production"	0.0782628
"e- commerce"	0.0779342
banking	0.0777076
"raw material"	0.077594
"social welfare"	0.0775611
"urban planning"	0.0775111
gardening	0.077146
cotton	0.0767187
"vocational education"	0.0767119
"veterinary medicine"	0.0763776
protection	0.0762441
"dairy product"	0.0761777
e-commerce	0.0761182
state-owned	0.0758834
"information science"	0.0754831
sisal	0.0751202
meteorology	0.0750788
grassland	0.0749845
exploration	0.0749031
"oil palm"	0.074902
fertilizer	0.0746674
sanitation	0.0745668
automobile	0.0744811
"palm oil"	0.074209
resource	0.0739988
"animal product"	0.073571
preservation	0.0735598
"Multimedia Super Corridor"	0.0730598
railway	0.0730485
medium-sized	0.0730279
Microelectronics	0.0724956
reforestation	0.0722227
"solar energy"	0.0720888
"oil industry"	0.0719379
geology	0.0718327
Eco-tourism	0.0715691
science	0.0715655
"insurance market"	0.071414
"public security"	0.0711685
"adult education"	0.0706669
"public utility"	0.0705993
jute	0.0702283
communication	0.0699025
e-business	0.0695297
"Rural Development"	0.0695218
"machine tool"	0.0693633
"pig iron"	0.0692344
wildlife	0.0690459
"rare earth"	0.0690423
exploitation	0.068939
medicine	0.0688992
Housing	0.0688059
ethylene	0.0686589
"transportation system"	0.0686494
rapeseed	0.0685794
"insurance business"	0.0684452
"retail sale"	0.0683585
"consumer credit"	0.0683543
Telecom	0.068207
undertaking	0.0680195
wholesale	0.0676216
sugarcane	0.0676094
fruit	0.0674583
semiconductor	0.0674282
"rural area"	0.0673391
cement	0.0670286
navigation	0.0668767
"family planning"	0.0667877
"housing industry"	0.0667761
"chain store"	0.0666033
"genetic engineering"	0.0665526
TCM	0.066516
mechanization	0.0664079
"health service"	0.0663828
consumption	0.0663482
"business activity"	0.0660243
alleviation	0.065865
MSC	0.0657659
"nuclear power"	0.0657265
output	0.0657167
automation	0.065635
ceramic	0.0656154
distribution	0.0656105
"state enterprise"	0.0655941
"food product"	0.0655572
subsector	0.0652319
by-product	0.064982
seafood	0.0646989
"elementary education"	0.0645403
))
("animal kingdom" (desc 2675.07) (sims
"Magic Kingdom"	0.150609
"Sea World"	0.135466
Disneyland	0.0987084
"theme park"	0.0739307
"Wide World"	0.0661095
"Go Network"	0.0620549
"Disney World"	0.0619953
"Walt Disney World"	0.0603611
"Universal Studios"	0.0567228
"sea lane"	0.0542145
Ozarks	0.0482955
"Central Florida"	0.0481544
"movie studio"	0.046698
"Lincoln Center Festival"	0.0463486
"Empire State"	0.0450657
ROUNDERS	0.0446256
"amusement park"	0.0444756
"Miller Park"	0.0439239
Hotlines	0.0435488
"American Century"	0.0428632
BCE	0.0411848
"good Samaritan"	0.0409681
Metreon	0.0409152
"Cradle Will Rock"	0.0404626
))
("Animal Planet" (desc 1154.51) (sims
"Black Entertainment Television"	0.234968
ZDTV	0.173956
FX	0.149995
Nickelodeon	0.144671
CNBC	0.144617
VH@	0.143344
ABS-CBN	0.140575
MSNBC	0.136408
"TV Land"	0.135155
"Comedy Central"	0.12323
C-Span	0.120844
"Turner Classic Movies"	0.119872
ORT	0.11971
"Discovery Channel"	0.117812
TNT	0.113404
VH-@	0.112068
TNN	0.110228
"Court TV"	0.109668
NTV	0.100828
"Fox Sports Net"	0.100469
Showtime	0.0997519
"History Channel"	0.0980734
"USA Networks"	0.0953788
QVC	0.0929076
"Food Network"	0.0852289
"USA Network"	0.0848538
"Disney Channel"	0.0815437
Tb	0.0808811
iTV	0.0785631
bravo	0.0768624
"Fox Sports"	0.0716371
Univision	0.071298
"Turner Sports"	0.0659589
"Home Shopping Network"	0.0657715
Mega	0.0648227
"Fox News"	0.0645027
RCN	0.0635696
IRC	0.0628095
NTL	0.0604066
CTV	0.0602312
ISDN	0.0602303
UPN	0.0596485
Quokka	0.0595163
CNNfn	0.0586249
"Turner Broadcasting"	0.0581439
"Canal Plus"	0.0576642
"MediaOne Group"	0.0576081
"Weather Channel"	0.0566076
"Wireless Optus"	0.0565902
"Wireless HKT"	0.0559437
Eurotunnel	0.0549957
PAX	0.054849
"Cartoon Network"	0.0542745
MSG	0.0537107
DMA	0.0533866
Televisa	0.0516445
"NBC News"	0.0511511
"Comcast Corp."	0.0509115
"John Malone"	0.0496813
Scientific-Atlanta	0.0491792
"Tele-Communications Inc."	0.0481506
"Golf Channel"	0.0468582
clicker	0.0468141
"one and two"	0.0443393
BSKyB	0.0425808
noggin	0.0414144
"Apple Computer Inc."	0.0414106
))
("animal product" (desc 2260.7) (sims
"dairy product"	0.18502
poultry	0.141857
"food product"	0.135841
foodstuff	0.121527
mutton	0.107407
"animal fat"	0.104305
"human waste"	0.102932
"frozen food"	0.10079
"vegetable oil"	0.100539
rapeseed	0.100533
aquatics	0.100451
"raw vegetable"	0.0993014
"cashew nut"	0.0967859
"precious stone"	0.0955885
Livestock	0.094747
shellfish	0.092304
"building material"	0.0917858
"milk powder"	0.0916885
mineral	0.0906881
phosphate	0.0905976
"sea food"	0.0897537
petroleum	0.0897398
"raw meat"	0.0895177
legume	0.0894694
"precious metal"	0.0894507
"synthetic fiber"	0.089048
reagent	0.0889962
textile	0.0882331
fowl	0.0881749
byproducts	0.0867348
"consumer goods"	0.0858318
"freshwater fish"	0.0858079
"consumer durables"	0.0852362
by-product	0.0850521
pork	0.084613
citrus	0.084594
jute	0.0839311
"iron ore"	0.0836514
barley	0.0831411
dairy	0.0816661
timber	0.0815599
gemstone	0.0807384
"black tea"	0.080587
seafood	0.0796223
fungi	0.0788514
"canned food"	0.0787077
"raw material"	0.0786535
cotton	0.0785431
cereal	0.0781551
pharmaceutical	0.0779557
veggie	0.0778802
"palm oil"	0.0776415
offal	0.0746132
"animal husbandry"	0.073571
"food grain"	0.073478
fodder	0.073109
"machine tool"	0.073065
"sugar cane"	0.0728821
"frozen foods"	0.0720126
newsprint	0.0705974
"home appliance"	0.0702025
fertilizer	0.0700882
"crude oil"	0.0690335
lumber	0.067685
petrochemical	0.0673753
"fresh food"	0.0673039
microorganism	0.0671628
"integrated circuit"	0.0670973
ginseng	0.0663785
"dried fruit"	0.0661677
beverage	0.0659978
non-oil	0.0657456
oilseed	0.0650254
"fruit juice"	0.0646492
"liquefied natural gas"	0.0645117
soybean	0.063108
"household appliance"	0.0625755
"cooking oil"	0.0622461
"pig iron"	0.0619757
starch	0.0616546
handicraft	0.0616413
cosmetic	0.0615585
"sunflower seed"	0.0607762
metallurgy	0.0602799
"plant life"	0.0602795
lard	0.059919
waterfowl	0.0598972
vermiculite	0.0596506
"ground beef"	0.0593797
"citric acid"	0.0593417
"bamboo shoot"	0.0592798
blubber	0.0590965
"animal skin"	0.0589464
cashew	0.0588048
wool	0.0585857
feces	0.0585133
vitamin	0.0583924
ore	0.0582238
talc	0.0581569
"six million tons"	0.057798
biscuit	0.0577367
"domestic animal"	0.0577314
"liquefied petroleum gas"	0.0576156
"citrus fruit"	0.0574398
"hard drug"	0.0573914
"snack food"	0.0569931
apparel	0.0567626
billet	0.0567467
fibre	0.0567336
forestry	0.056555
maize	0.0559986
microbe	0.055854
footwear	0.0556524
"motor vehicle"	0.0555118
knitwear	0.0552957
"fish fillet"	0.0550572
pulp	0.0549829
"four million tons"	0.0546506
ceramic	0.0544624
cocoa	0.0543179
granola	0.0541088
commoner	0.0539265
"over @@@,@@@ tons"	0.0535711
blue-chips	0.0534362
"waste material"	0.053424
ephedrine	0.0532976
"chemical industry"	0.0528945
CFCs	0.0528536
critters	0.0523141
excrement	0.0520627
"mineral water"	0.0518641
"electronic equipment"	0.0516501
"durable goods"	0.05143
"steel plate"	0.0512117
"spare part"	0.0510111
"futures price"	0.0510093
"sea horse"	0.0506724
guacamole	0.0506688
vertebrate	0.0502636
"french fries"	0.0497504
"more than @@,@@@ tons"	0.0496945
tusk	0.0496882
beet	0.0496043
"over @@ million tons"	0.0491678
"plate glass"	0.0491018
eel	0.0490947
machine-building	0.0490202
"fish meal"	0.0489742
"soft drink"	0.0489631
"rare bird"	0.0487565
tannery	0.0487539
"coconut oil"	0.0487083
sachet	0.0485221
"soya bean"	0.0484624
brainpower	0.0482141
melon	0.0478994
hatchlings	0.0477541
pistachio	0.0475549
desalination	0.047505
cashmere	0.04745
entrails	0.0474327
"fresh fish"	0.0466318
"computer equipment"	0.0464218
"amino acid"	0.0464128
flax	0.0463344
hydropower	0.0462766
air-conditioner	0.0460107
"powdered milk"	0.0456328
tuna	0.045586
opium	0.0455494
additive	0.0454507
semiconductor	0.0453691
"three million tons"	0.0452198
ostrich	0.0448034
porridge	0.0445957
"alcoholic beverage"	0.044588
horticulture	0.0443942
"washing machine"	0.0443596
"orange juice"	0.0442307
ginkgo	0.0441229
sweetener	0.0439326
"wheat flour"	0.0438091
"California wine"	0.0437777
"cut of meat"	0.0435446
"canned goods"	0.0435385
tofu	0.0435378
"historical document"	0.0434495
ingot	0.0432902
caribou	0.0432361
ILGO	0.0431651
semen	0.0431026
dregs	0.0430756
jewellery	0.0429487
transplanting	0.0429336
detergent	0.042757
"more than @@ million tons"	0.0426617
"one million tons"	0.0425878
"egg yolk"	0.0425365
agro-technology	0.0423675
"spaghetti sauce"	0.0422506
))
("animal skin" (desc 1042.04) (sims
beany	0.0848545
prosthesis	0.0768472
fishnet	0.0727579
"fur coat"	0.0651323
"life preserver"	0.0650744
"genetic disease"	0.0649585
Rolex	0.064739
"neurological disease"	0.0595543
"heroin addiction"	0.0592111
"animal product"	0.0589464
suspender	0.0587049
"skin disease"	0.0577764
pickoff	0.0544017
"eye disease"	0.052919
wasabi	0.05257
holster	0.0511787
"bulletproof vest"	0.0511003
"Bengal tiger"	0.0510154
earplugs	0.0498716
pillowcase	0.049156
"ammonium nitrate"	0.0491007
"common cold"	0.0488185
intonation	0.048779
carnation	0.0487722
"tennis racket"	0.0482554
turbot	0.0478998
"pirate ship"	0.0478583
rattlesnake	0.0478093
mini-van	0.0476371
"bird of prey"	0.0473877
"sea bird"	0.0472502
tarp	0.0470994
haystack	0.0469308
"more than @@ tons"	0.0468532
wristband	0.0463644
armband	0.0461441
eyelash	0.0459989
"soccer ball"	0.0459965
"game of chance"	0.0458965
moccasin	0.0457243
waistcoat	0.045138
"wedding ring"	0.0449577
"four tons"	0.044802
"three tons"	0.0447254
"order form"	0.0445642
"bowling ball"	0.0443602
"wedding dress"	0.0441086
malignancy	0.043429
leper	0.0434239
hemophilia	0.0433954
"pork belly"	0.0432201
"dog tag"	0.0429786
"over @@@ tons"	0.0428749
blinker	0.0424923
brassiere	0.0422452
floater	0.0421277
"stiletto heel"	0.0420471
"army tank"	0.0420231
capris	0.0416866
choker	0.0414632
"blue ribbon"	0.0414631
"neck brace"	0.0409342
bauhinia	0.0408628
dachshund	0.0407201
Centerfold	0.0404544
Psychosis	0.0402122
"sound effect"	0.0402045
))
(animation (desc 36050.6) (sims
graphics	0.138731
"special effect"	0.132567
video	0.111491
music	0.109993
visuals	0.107358
photography	0.106191
audio	0.100515
cartoon	0.0997187
imagery	0.0976285
film	0.0972156
programming	0.0969849
Entertainment	0.0954746
multimedia	0.0924806
"computer graphics"	0.0924794
design	0.0924477
art	0.0907039
editing	0.0886869
modeling	0.0875564
imaging	0.087273
image	0.0855308
movie	0.0848861
software	0.083929
"film clip"	0.0833231
"video game"	0.0815121
dance	0.0805986
"computer game"	0.080122
comedy	0.0794475
sound	0.0789908
architecture	0.0783332
"motion picture"	0.0777269
footage	0.0772231
technology	0.0769768
cinematography	0.0762721
picture	0.0762423
sequence	0.0748363
publishing	0.0743279
text	0.0743093
drawing	0.0741407
simulation	0.0741375
photograph	0.0740387
technique	0.073226
realism	0.0726374
feature	0.0724936
clip	0.0723611
drama	0.0721196
humor	0.07157
genre	0.0711904
Gaming	0.0704716
"artificial intelligence"	0.0702628
calligraphy	0.0701593
Advertising	0.0700391
fiction	0.0699941
documentary	0.0699901
artwork	0.069799
"feature film"	0.0692052
"sound effect"	0.0691635
poetry	0.0691619
"martial art"	0.0688055
style	0.0684873
Lighting	0.0684687
painting	0.0682693
musical	0.0682341
illustration	0.0680356
character	0.0677388
costume	0.0675645
theater	0.0673119
script	0.0672299
retailing	0.0662946
animators	0.0659742
sketch	0.0659126
sport	0.065824
"musical theater"	0.0653942
opera	0.0653766
comic	0.0648555
fashion	0.0648342
ballet	0.0648228
Song	0.0646095
choreography	0.0645418
soundtrack	0.0639952
cinema	0.0639197
sculpture	0.0637862
networking	0.0636673
computing	0.063636
interface	0.0635362
"TV show"	0.0634535
map	0.0633249
broadcasting	0.063226
television	0.0625237
sitcom	0.0624983
Recording	0.0624879
color	0.0623075
narration	0.0621909
"pop music"	0.0620832
scene	0.0618085
Journalism	0.0617507
"science fiction"	0.0614376
fantasy	0.061376
merchandising	0.0612197
cooking	0.0612146
literature	0.0610913
writing	0.0610562
engineering	0.0610271
toy	0.0608769
display	0.0608409
TV	0.0604235
content	0.0603657
rendering	0.0600963
format	0.0599168
special-effects	0.0596022
Diagram	0.0591048
decor	0.0588616
"documentary film"	0.0588534
anime	0.0587659
marketing	0.0586347
photo	0.0585814
"comic book"	0.0583149
material	0.0581683
puppet	0.0580436
stills	0.0580007
"folk art"	0.0577241
prop	0.0576305
packaging	0.0571598
commercial	0.0568911
"home movie"	0.0567972
"camera angle"	0.0565135
gadget	0.0563048
suspense	0.0562508
cuisine	0.0562237
CD	0.0560817
presentation	0.0559723
Encryption	0.0559661
hardware	0.0559475
craft	0.0559235
analysis	0.0558299
"classical music"	0.0557878
"soap opera"	0.0557698
banking	0.0557422
communication	0.0555835
science	0.0555742
narrative	0.0555558
telephony	0.0554871
object	0.0550736
epic	0.0550367
pornography	0.0549778
"high technology"	0.0548042
beauty	0.0548037
dancing	0.0547584
commentary	0.0542833
"comic strip"	0.0541997
puzzle	0.0541036
landscape	0.0540885
Jazz	0.054088
translation	0.054023
printing	0.0540064
e-commerce	0.0539744
"Toy Story"	0.0538671
gardening	0.0536477
concept	0.0536447
innovation	0.0536171
pyrotechnics	0.0535709
adventure	0.0535477
newsreel	0.0535187
reproduction	0.0534326
poster	0.0534192
"personal computer"	0.0533399
print	0.0532873
"popular music"	0.0531386
culture	0.0530694
graph	0.0530591
production	0.053054
pop	0.053029
tale	0.0529915
spectacle	0.0529424
Computer	0.0529384
spreadsheet	0.0529286
data	0.0528489
rhythm	0.0527994
voice	0.0527971
"television program"	0.0527766
singing	0.0527689
layout	0.0527335
AD	0.0525339
chat	0.0525296
electronics	0.0525051
description	0.0524746
furnishings	0.0524241
staging	0.052288
prose	0.0522614
measurement	0.0521257
CD-ROM	0.0520259
"TV program"	0.051987
biotechnology	0.0519483
commerce	0.0518546
"talking head"	0.0517476
version	0.0516336
skill	0.0516293
collage	0.051611
language	0.0516036
diversity	0.0515779
portrait	0.0512827
))
(animator (desc 2216.54) (sims
illustrator	0.0882989
animators	0.0866255
womanizer	0.0836764
"guitar player"	0.0808122
"security consultant"	0.0786446
psychoanalyst	0.0780492
cinematographer	0.0764822
"interior decorator"	0.0751183
"art director"	0.0751043
goal-scorer	0.073733
colorist	0.0730277
raconteur	0.0725436
"network administrator"	0.0717885
magician	0.0713013
violinist	0.0704193
Litigator	0.0694193
"graphic artist"	0.0674837
sculptor	0.0674519
miler	0.0670976
"public speaker"	0.0667304
"interior designer"	0.0661557
"art historian"	0.0651357
marksman	0.0647185
Intimidator	0.0642821
songwriter	0.0639764
"costume designer"	0.0634351
cabinetmaker	0.0629614
filmmaker	0.0628041
"Wild Man"	0.0620153
seamstress	0.0617199
paraplegic	0.0615029
ornithologist	0.0614134
experimenter	0.0612982
"civil engineer"	0.0612447
"software engineer"	0.0610003
"chess player"	0.060782
sportswriter	0.0605833
stylist	0.0602003
Yoda	0.0600898
electrician	0.0600408
whiz	0.0587299
"electrical engineer"	0.0586924
guitarist	0.0585563
"sports editor"	0.0585488
dramatist	0.0584183
copywriter	0.0581645
typist	0.0581296
"young person"	0.0579764
linguist	0.057861
handicapper	0.0576696
"management consultant"	0.0574107
showman	0.0574083
exec	0.0571444
ex-Marine	0.0570107
"double agent"	0.0569805
"eye doctor"	0.0566395
yachtsman	0.0565208
"Texas ranger"	0.0563532
topiary	0.0562046
"altar boy"	0.0560747
"registered nurse"	0.0560014
"big leaguer"	0.055923
enabler	0.055579
"Orthodox Jew"	0.0551088
Narayanan	0.0549716
"test pilot"	0.0549296
triathlete	0.0549268
"good person"	0.05468
naturalist	0.0546038
"first pitcher"	0.0545397
"draft dodger"	0.0544272
"bird watcher"	0.0542203
"TV star"	0.0539724
horseman	0.0539656
Kurd	0.0539167
newspaperman	0.0537807
"Yankee Clipper"	0.0537337
"major leaguer"	0.0537154
thinker	0.0535516
"trial lawyer"	0.0529711
decorator	0.0529001
"naval officer"	0.052869
mathematician	0.0528553
"professional golfer"	0.0525642
"mechanical engineer"	0.0522723
Connell	0.0521035
motivator	0.0520459
boozer	0.0518857
Bostonian	0.0518457
"second person"	0.0518287
"pass catcher"	0.0516997
"landscape architect"	0.0516677
pianist	0.0516122
orator	0.0515408
cantor	0.0514417
Houdini	0.0512652
craftsman	0.051155
"Emanuel Steward"	0.051108
clarinetist	0.0510935
"administrative law"	0.0510929
"wise guy"	0.0510035
vaulter	0.050986
Atlantan	0.0508509
statesman	0.0508457
bloke	0.05083
Seaman	0.0506249
balloonist	0.0505954
"character actor"	0.0504914
stuntman	0.0504747
isolationist	0.0504196
taskmaster	0.050407
"risk taker"	0.050354
underachiever	0.0503521
trumpeter	0.0503459
musicologist	0.0503167
junkie	0.0503113
"press agent"	0.0502884
"volleyball player"	0.0502734
anesthesiologist	0.050201
debater	0.0500755
innovator	0.0500667
organist	0.0499404
horticulturist	0.0498987
ensign	0.0497595
nobleman	0.0497479
innkeeper	0.0495851
marketer	0.0495511
"art dealer"	0.049517
geisha	0.049411
"stock company"	0.0492542
"hockey coach"	0.0492471
"disk jockey"	0.0491679
choreographer	0.0491505
lexicographer	0.0489333
divorcee	0.0489269
craftspeople	0.0489184
bandleader	0.0489149
immortal	0.0487603
communicator	0.0487542
essayist	0.048714
"hockey player"	0.0486204
screenwriter	0.0485498
eighth-grader	0.0485458
translator	0.0484536
botanist	0.0483243
Solver	0.048189
Ruehe	0.04812
Kusama	0.0480969
first-rounder	0.0479351
"important person"	0.0478544
"department employee"	0.0478325
orthopedist	0.0477925
co-editor	0.0475538
jurist	0.0474831
hairdresser	0.0474288
Mulan	0.0472586
"certified public accountant"	0.047235
Kazan	0.0470018
dilettante	0.0469925
classicist	0.0469771
Programmer	0.0469316
iconoclast	0.0469163
acrobat	0.0468605
"foreign service officer"	0.0468217
"trial attorney"	0.0467363
"consulting company"	0.0467278
"top dog"	0.0467214
whistle-blower	0.0466784
"film star"	0.0466484
"baseball player"	0.0466323
restorer	0.0466287
gung-ho	0.0465711
flutist	0.0465194
repairman	0.0464963
individualist	0.0463936
businesswoman	0.0463868
"music critic"	0.0463402
troubleshooter	0.0462262
Scot	0.046201
chameleon	0.0461849
reviewer	0.0461814
apprentice	0.0461813
Englishwoman	0.0460816
saxophonist	0.0460695
Imam	0.046041
chemist	0.0460288
"baseball coach"	0.0457623
comedian	0.0457314
cartoonist	0.0455963
busboy	0.0455495
concertmaster	0.0455437
"stage manager"	0.0455218
"fall guy"	0.0454425
singer-songwriter	0.0453968
"film producer"	0.0453954
"foster mother"	0.0452928
"aerospace engineer"	0.0452883
Lobo	0.0450615
"business editor"	0.0449802
MALICK	0.0449759
))
(animators (desc 4698.01) (sims
"graphic artist"	0.146973
craftsmen	0.124131
Programmer	0.106648
moviemakers	0.106221
"software engineer"	0.102417
filmmakers	0.0961946
designer	0.0930942
craftspeople	0.0919342
artisan	0.091242
technician	0.0908923
sculptor	0.0897003
cartoonist	0.0896961
illustrator	0.0874629
choreographer	0.0870856
animator	0.0866255
calligrapher	0.0853094
"two pitchers"	0.0842636
"jazz musician"	0.0842043
techies	0.0795702
"fashion designer"	0.0790045
technologist	0.0789217
"landscape architect"	0.0788544
"art historian"	0.0780363
musician	0.0769749
architect	0.0769281
mathematician	0.0767955
"art director"	0.0767913
stylist	0.0742901
whizz	0.0735604
"network administrator"	0.0729972
painter	0.0717475
installers	0.0712997
"computer scientist"	0.0706781
acrobat	0.0705969
"skilled worker"	0.0703299
photographer	0.0689187
screenwriter	0.0681865
resellers	0.0679554
deejays	0.0669924
composer	0.0663825
animation	0.0659742
songwriter	0.0646882
archivist	0.0635464
"ballet dancer"	0.0635444
"movie maker"	0.0632981
"auto company"	0.0632654
"interior decorator"	0.0631922
"management personnel"	0.0629853
"interior designer"	0.0628442
"music lover"	0.0627734
inventor	0.0622135
Playwright	0.0620763
Henning	0.0618753
cinematographer	0.0618684
"aerospace engineer"	0.0618054
puppeteer	0.0614483
dramatist	0.0613824
violinist	0.0613702
execs	0.0613586
physicist	0.0604509
chef	0.0604007
"computer programmer"	0.0597546
"disc jockey"	0.0597301
archeologist	0.0592088
singer-songwriters	0.0591673
"film maker"	0.0585291
winemaker	0.0584606
rappers	0.0583672
woodworker	0.0583003
"business executive"	0.0582952
historian	0.0582166
lyricist	0.0579415
motherboards	0.0579141
"art student"	0.0579021
QBs	0.0577147
salespeople	0.0575751
vocalist	0.0571955
experimenter	0.0569568
"stage director"	0.0567673
entertainer	0.0567422
potter	0.056555
"health professional"	0.0564406
marketers	0.0564277
educator	0.0562142
kindergartners	0.0561858
firefighters	0.055342
thinker	0.0552183
"costume designer"	0.0551227
planner	0.055111
"policy maker"	0.0546548
policymakers	0.0544391
wizardry	0.0544319
"Aaron Sorkin"	0.0540967
naturalist	0.0540964
preservationists	0.0539616
DJ	0.0539597
cadre	0.0539341
decorator	0.0537387
Litigator	0.053686
"social scientist"	0.053573
innovator	0.0535272
chemist	0.0533371
clinician	0.0532469
thoroughbred	0.0530091
diver	0.0530085
caterer	0.0529353
biologist	0.0528199
tutor	0.0525138
geologist	0.0522778
archaeologist	0.0520775
mover	0.0519599
clergymen	0.0519322
"New York Republicans"	0.0517547
"computer expert"	0.0517516
"talent agent"	0.0517205
filmmaker	0.0517021
sleuth	0.0514237
humorist	0.0514023
Taymor	0.0512234
electrician	0.0510767
conductor	0.0510107
"North Africans"	0.0509284
appraiser	0.0509271
pianist	0.0508618
builder	0.0506757
adventurer	0.050607
"application program"	0.0504654
communicator	0.050428
novelist	0.0504224
gardener	0.0503663
"Sri Lankans"	0.0503275
jeweler	0.0500825
distiller	0.0500112
stagehand	0.0499318
Mulan	0.0499193
accountant	0.0498545
spotter	0.0498126
hacker	0.04976
cellist	0.0496845
linguist	0.0495237
tyke	0.0494861
scriptwriter	0.0494555
cabinetmaker	0.0494432
telecommuters	0.0493835
Industrialist	0.0492532
decision-makers	0.0492107
registrant	0.0492086
businesswomen	0.0492045
gamers	0.0491743
wizard	0.0486245
sportsmen	0.0484309
pharmacist	0.0483988
storyteller	0.0483932
theologian	0.0481526
staffer	0.0481313
"David E. Kelley"	0.0480459
"test pilot"	0.0480039
"advertising agency"	0.0477703
publicist	0.0477343
"administrative official"	0.0476759
"folk singer"	0.0476411
philosopher	0.0475838
phenoms	0.0475208
picker	0.0474972
mushers	0.0474798
sailor	0.0474258
mainlanders	0.0474196
agronomist	0.0472781
"Susan Stroman"	0.0472129
guitarist	0.0471989
shorts	0.047168
gymnast	0.047004
comedian	0.04683
adoptees	0.0467073
colorist	0.0465661
"Don Hewitt"	0.046515
superheroes	0.0462993
"business line"	0.0462849
taster	0.046249
"copy editor"	0.0462392
practitioner	0.0461788
visionary	0.0461486
triathletes	0.0461144
tester	0.0459894
Rubenstein	0.0459004
"registered nurse"	0.0458751
climber	0.0458401
ballplayer	0.0458075
Wiz	0.0457478
exec	0.0456926
veterinarian	0.0456829
recruiter	0.0456097
mime	0.0455906
"social worker"	0.0455517
therapist	0.0454961
"ad agency"	0.0453668
bodybuilder	0.0453585
paddler	0.0453249
statesmen	0.0453013
technocrat	0.0452806
))
(anime (desc 2130.87) (sims
"South Park"	0.0717042
"Star Trek"	0.0708314
add-on	0.0701818
eight-minute	0.0665051
multiplayer	0.0655344
"science fiction"	0.0650871
FloJo	0.0649486
"comic book"	0.063641
"Princess Mononoke"	0.0634823
lassie	0.0596724
witchcraft	0.0572051
"popular music"	0.0559304
"up to eight"	0.0546883
"Rat Pack"	0.0543313
"dance music"	0.0537108
improv	0.0535995
Zapruder	0.0531215
"comic strip"	0.0530564
Fellini	0.0530324
noir	0.0529438
Porn	0.0529385
"Frank Capra"	0.0522353
X-MEN	0.0512586
"computer language"	0.0512341
Flintstone	0.0510805
Melrose	0.0507156
Spring/Summer	0.0506374
quilting	0.0501228
Pokemon	0.0500081
Porno	0.0496684
karaoke	0.0492408
"Kung Fu"	0.0492382
operetta	0.0490013
"Microsoft Office"	0.0488369
analog	0.048813
"Buster Keaton"	0.0488037
supercomputer	0.0481662
"David Lynch"	0.0480795
"Woody Allen"	0.0478148
grooming	0.0475398
Schwarzenegger	0.047318
"two @@@@"	0.0471366
personalization	0.0469868
"Neil LaBute"	0.0469197
stooge	0.0466896
"root beer"	0.046469
"John Wayne"	0.0463061
bluegrass	0.046156
"Ingmar Bergman"	0.0459133
"Beijing Opera"	0.0458422
"Brady Bunch"	0.0456409
haiku	0.045568
Simpsons	0.0454929
"R&AMP;B"	0.0454423
"creature comforts"	0.04541
"Jerry Springer Show"	0.0452524
"country music"	0.0452373
"Lethal Weapon"	0.0450995
special-effects	0.0450796
Phish	0.0450627
"Blair Witch"	0.0447887
"martial art"	0.0447146
croquet	0.0444876
"Mary Tyler Moore Show"	0.0443776
"Marx Brothers"	0.0443657
Iceman	0.0442347
"Charlie Brown"	0.0441616
Spider-Man	0.0440038
LIMEY	0.0439841
"James Bond"	0.0438906
Coen	0.0432214
Finch	0.0431468
Win@@	0.0428581
"Central Division"	0.0425596
"pop music"	0.0425051
"Hannibal Lecter"	0.0422266
Rugrats	0.0420399
"Jane Austen"	0.0418191
Grisham	0.0417311
IMAX	0.0416778
"computer graphics"	0.0415282
"Love Boat"	0.0413105
"Harry Potter"	0.0412732
Mister	0.0412677
polity	0.0411119
Asian-American	0.0409935
"Windows CE"	0.040843
Teletubbies	0.0408271
"Blade Runner"	0.0407429
seven-minute	0.0405885
"Sesame Street"	0.0404884
"Spice Girls"	0.0404802
"Jekyll and Hyde"	0.0400505
))
(animosity (desc 21643.7) (sims
enmity	0.196744
bitterness	0.193343
hatred	0.192311
resentment	0.185363
hostility	0.171076
mistrust	0.164035
antagonism	0.163858
distrust	0.157197
anger	0.150194
"ill will"	0.148987
tension	0.143908
rancor	0.137898
friction	0.137529
rivalry	0.137294
acrimony	0.131738
feud	0.127838
jealousy	0.122605
animus	0.122392
prejudice	0.121437
antipathy	0.118837
discord	0.118113
suspicion	0.115616
rift	0.112298
"bad blood"	0.109705
feeling	0.105778
insecurity	0.100896
misunderstanding	0.100748
anxiety	0.100747
frustration	0.0994415
dislike	0.099107
skepticism	0.0950482
cynicism	0.0947824
confusion	0.0946429
outrage	0.0943197
grudge	0.0930153
loathing	0.0930113
polarization	0.0929169
discontent	0.0921005
strife	0.0903149
disagreement	0.0898445
fear	0.0896996
recrimination	0.0892615
sentiment	0.0890824
"inferiority complex"	0.0890702
passion	0.0890031
conflict	0.0875746
controversy	0.0871594
dissension	0.0871491
uneasiness	0.0862954
intolerance	0.0858194
dispute	0.0854111
hate	0.0851671
partisanship	0.0850482
ambivalence	0.0836522
divisiveness	0.0833998
unease	0.0833467
emotion	0.0829266
violence	0.0822613
uncertainty	0.0822002
loyalty	0.08192
unrest	0.0815228
rage	0.0812299
malice	0.080929
nationalism	0.0802776
bigotry	0.0799489
anti-Semitism	0.0797209
fervor	0.079306
paranoia	0.0789079
discomfort	0.0786925
apathy	0.0786754
instability	0.0786262
inequality	0.0784533
nervousness	0.0783907
confrontation	0.078378
euphoria	0.0760047
sympathy	0.0756767
bickering	0.0751279
envy	0.0751029
"good will"	0.0750175
distaste	0.0746967
quarrel	0.07464
estrangement	0.0745206
affection	0.0741325
difference	0.0736766
racism	0.0728563
"difference of opinion"	0.0727344
disillusionment	0.0726151
fury	0.072469
divergence	0.0724116
disappointment	0.0723654
intrigue	0.0723561
contradiction	0.0718542
enthusiasm	0.0716137
wariness	0.0712078
desire	0.070326
dissatisfaction	0.0699088
irritation	0.0693191
bloodshed	0.0690924
pride	0.0690824
goodwill	0.0690736
disparity	0.0690514
bias	0.0687741
nastiness	0.0685661
squabble	0.0684543
excitement	0.0681492
clash	0.0679813
misgiving	0.0671718
grief	0.0671491
hunger	0.067136
contempt	0.066859
stigma	0.0666596
sadness	0.0665341
disaffection	0.0662088
optimism	0.0661284
resistance	0.0661055
friendship	0.0661028
apprehension	0.0660739
unhappiness	0.0657237
skittishness	0.0655154
ambition	0.0654781
discrimination	0.0653467
disdain	0.0653254
favoritism	0.0650695
xenophobia	0.065058
pain	0.0650528
alienation	0.0649488
backlash	0.064775
hysteria	0.0646177
indignation	0.0643031
angst	0.0642429
desperation	0.0641286
finger-pointing	0.0641198
turmoil	0.0640652
hesitancy	0.064024
wrangling	0.0638093
fascination	0.0637132
struggle	0.0635658
guilt	0.0635521
sense	0.0635159
restlessness	0.0631343
dissent	0.0631025
reluctance	0.0630902
disunity	0.0627648
grievance	0.0626705
miscommunication	0.0626642
greed	0.0622357
disenchantment	0.0622087
hardship	0.0621706
doubt	0.0620548
schism	0.0620296
panic	0.0620044
sensitivity	0.0619083
trepidation	0.0617729
complacency	0.0617459
speculation	0.0615622
remorse	0.0614897
disquiet	0.0614412
pessimism	0.0613506
inequity	0.061282
chasm	0.0611413
embarrassment	0.0610459
perception	0.0609884
impatience	0.0609185
ire	0.060893
"arms race"	0.0605908
curiosity	0.0603881
arrogance	0.0602105
misery	0.0600409
vitriol	0.0594228
isolation	0.0594164
warmth	0.0594038
mentality	0.0593029
"name calling"	0.0592452
rebellion	0.059196
affinity	0.0591604
volatility	0.0591236
bloodletting	0.0590277
betrayal	0.0588189
negativity	0.0587687
furor	0.0586265
criticism	0.0585578
"price pressure"	0.0584381
disgust	0.0582438
commonality	0.0581484
compassion	0.0581271
misconception	0.0580601
confidence	0.0578498
warfare	0.0575768
injustice	0.0575077
chaos	0.0574925
factionalism	0.0573681
inhibition	0.0573479
ignorance	0.0573459
imbalance	0.0570709
thaw	0.0569671
fissure	0.0568698
stalemate	0.0568692
agony	0.0567392
unpopularity	0.0567332
intensity	0.0565725
))
(animus (desc 3013.24) (sims
animosity	0.122392
antipathy	0.109835
antagonism	0.100324
"inferiority complex"	0.0833526
grudge	0.083172
vendetta	0.0819447
enmity	0.0814344
prejudice	0.0726077
favoritism	0.0724407
edginess	0.0718718
hatred	0.0715513
rancor	0.0706978
inferiority	0.0690714
resentment	0.0657236
bitterness	0.0642213
malice	0.0622223
"ill will"	0.0614269
acrimony	0.0610662
ambivalence	0.0579304
backsliding	0.0570746
intolerance	0.0562098
Vilification	0.0560391
insensitivity	0.0546693
"preconceived notion"	0.0540118
inclination	0.0527277
impropriety	0.0523181
duality	0.0521174
permissiveness	0.0520379
absolutes	0.0515966
"good will"	0.0514363
mistrust	0.0510092
"bad blood"	0.0502098
wallop	0.0500882
leaning	0.0500205
bigotry	0.0491164
culpability	0.0487454
"blind spot"	0.0476739
dishonesty	0.0474256
"quid pro quo"	0.046743
harangue	0.0465362
irresponsibility	0.0464943
leniency	0.0463465
inequity	0.0462936
negativity	0.0459594
invective	0.0455647
imprimatur	0.0455489
hypocrisy	0.0454331
"enforcement action"	0.0452902
"charge sheet"	0.0451536
"double standard"	0.0451212
"mug shot"	0.0449385
predilection	0.0448865
arrogance	0.044882
injustice	0.0448153
shredders	0.044732
roadmap	0.044557
predisposition	0.0445505
generosity	0.0442336
isolationism	0.0441503
"tax liability"	0.0441274
pity	0.0439515
worldliness	0.0438707
preconception	0.0438373
feelings	0.0432547
"frame of reference"	0.0432237
vitriol	0.0424924
"credit system"	0.0424662
agitation	0.0423733
callousness	0.0422276
"rain cloud"	0.041993
loathing	0.0419079
disrespect	0.0418533
"legal proceeding"	0.0416861
adulation	0.0416773
rightness	0.0415782
guesswork	0.0415763
"direct evidence"	0.0415309
belligerence	0.0413826
vote-buying	0.0410892
transgression	0.0407721
meanness	0.0406242
coolness	0.040585
demagoguery	0.0404183
autocracy	0.0402709
calibre	0.0401947
commonality	0.0401717
aversion	0.0401402
))
(anise (desc 2738.39) (sims
allspice	0.220109
cardamom	0.214289
cinnamon	0.200865
cumin	0.188575
turmeric	0.18314
licorice	0.179988
"star anise"	0.179821
nutmeg	0.177748
coriander	0.171991
oregano	0.15756
cayenne	0.153861
peppercorn	0.152447
ginger	0.141659
clove	0.139438
"curry powder"	0.133335
"bay leaf"	0.129206
"black pepper"	0.129154
vanilla	0.120437
Basil	0.120092
mace	0.119972
"chili powder"	0.119211
Garlic	0.117428
rosemary	0.115236
"lemon zest"	0.115191
paprika	0.114599
"hot pepper"	0.11129
lemon	0.109919
hazelnut	0.109264
"mustard seed"	0.109059
"brown sugar"	0.108924
lemongrass	0.107258
shallot	0.105244
"cayenne pepper"	0.104703
thyme	0.10244
toasty	0.10155
"red pepper"	0.0997097
chive	0.0995373
cilantro	0.0992282
mint	0.0984442
lime	0.0973848
"lemon juice"	0.0967795
celery	0.0963
mustard	0.0953524
onion	0.0949255
"lemon peel"	0.0940999
"fennel seed"	0.0922741
blackberry	0.0917683
coconut	0.0916104
scallion	0.0914368
"baking soda"	0.091386
"baking powder"	0.0900925
dill	0.0878642
parsley	0.0875474
"almond extract"	0.087285
"pepper sauce"	0.087166
raspberry	0.0871283
"white pepper"	0.0860489
chilies	0.0853038
saffron	0.0845105
"green onion"	0.083646
flake	0.0835276
"vanilla bean"	0.0834483
apricot	0.0827826
"dried fruit"	0.0819431
chamomile	0.0810445
"orange peel"	0.0809629
horseradish	0.0809188
"lime juice"	0.0793831
marjoram	0.0784584
wasabi	0.0782923
"bell pepper"	0.0782493
citrus	0.077991
vinegar	0.0774116
herb	0.0763637
"coriander seed"	0.0759108
"Grand Marnier"	0.075542
"cumin seed"	0.0753662
peppermint	0.0752889
honey	0.0745464
"red onion"	0.0740562
molasses	0.0739445
fennel	0.072841
melon	0.0716797
"soy sauce"	0.0713492
malt	0.070302
soy	0.0702268
jalapeno	0.0692234
leek	0.0689746
pomegranate	0.0686501
"sesame seed"	0.0667814
blueberry	0.0663809
"orange zest"	0.0654627
Juniper	0.0653278
carrot	0.0647775
almond	0.0644165
peach	0.0641857
grapefruit	0.0636366
tahini	0.0634075
anchovy	0.063147
"green pepper"	0.0628105
ginseng	0.0626852
cucumber	0.0620919
"sesame oil"	0.0618291
lavender	0.060841
raisin	0.0605861
"olive oil"	0.0602639
"macadamia nut"	0.0600784
"cider vinegar"	0.0594873
cornstarch	0.0594301
"Worcestershire sauce"	0.0590691
"morning glory"	0.0585409
"pine nut"	0.0581241
plum	0.0578376
"root beer"	0.0558118
yeast	0.0553221
mango	0.0553135
pear	0.0552753
savory	0.0550041
pineapple	0.0550022
watercress	0.0549313
cabbage	0.0545491
seaweed	0.0542614
eucalyptus	0.0537479
chervil	0.053582
walnut	0.0534944
"garlic salt"	0.0531943
Chili	0.052923
echinacea	0.0526074
pecan	0.0521169
"green tea"	0.0520914
MOCHA	0.05169
"coconut milk"	0.0507686
tarragon	0.0505745
"cashew nut"	0.0504102
"heavy cream"	0.0491311
canola	0.0484154
"orange juice"	0.0479209
zest	0.04787
chiles	0.0477703
lettuce	0.0477321
Sorrel	0.04743
flavoring	0.047203
sherry	0.0470622
radish	0.0468481
"wine vinegar"	0.0460182
liqueur	0.0451577
flax	0.0446927
"chili sauce"	0.0446802
"hot sauce"	0.0445306
teaspoon	0.043943
Chipotle	0.043603
wattle	0.0425266
buttermilk	0.0424006
"maple syrup"	0.0421988
marshmallow	0.0421754
avocado	0.0418432
currant	0.0415771
prosciutto	0.0415713
oat	0.0415546
spinach	0.0414383
pansy	0.0414158
arugula	0.04114
"apple juice"	0.041022
seasoning	0.0406305
"garlic clove"	0.0405208
papaya	0.0401059
groundnut	0.040027
))
(Anita (desc 3413.92) (sims
Tracey	0.11821
Evelyn	0.113623
Rita	0.105241
Suzanne	0.103763
Eileen	0.103311
Marta	0.103041
Teresa	0.102794
Dolores	0.102493
Terri	0.101836
Clara	0.101781
Pam	0.0998917
Patricia	0.0989762
Cathy	0.0984938
Debra	0.0984854
Kristin	0.0980738
JoAnne	0.0973187
Barbara	0.0970644
Kathleen	0.096396
Brenda	0.0961699
Juanita	0.0956523
Theresa	0.0956238
Cheryl	0.0950224
Josephine	0.0946241
Monique	0.0932915
Elaine	0.0923039
Lynne	0.0920259
Michelle	0.0917849
"Leigh Ann"	0.0913761
Cherie	0.0908495
Maria	0.0904373
Leah	0.0902614
Jacqueline	0.0902187
Maureen	0.0895626
Deborah	0.0894599
Olga	0.0890067
Beverly	0.0883386
Diane	0.0881137
Susan	0.0877408
Janice	0.0873443
alicia	0.0865593
"Azizah Ismail"	0.0863225
Olivia	0.0859288
Carolyn	0.0850505
Patti	0.0848934
Valerie	0.0846397
Sheryl	0.0839593
Helen	0.0838027
Kathryn	0.0836409
Sonia	0.0831497
Linda	0.0831309
Phyllis	0.0829429
"Queen Noor"	0.0826471
Margaret	0.0813382
Hadassah	0.0806674
Cindy	0.0804182
Nora	0.0803325
Christine	0.080225
Ana	0.0792727
Peggy	0.0785079
Connie	0.078207
Lori	0.0778947
Marcia	0.0769948
"Carolyn Bessette Kennedy"	0.076889
Gail	0.076778
Denise	0.0764727
Lois	0.0761558
Doris	0.0756657
Nancy	0.0754556
Stephanie	0.0753717
Julie	0.0753272
Camille	0.0751662
Debbie	0.0746605
Jeanne	0.0737845
Marianne	0.0728642
Karen	0.0725588
Vicki	0.0724188
"Carmen Electra"	0.0722131
Marian	0.0721364
Liz	0.0719427
Lucia	0.0718192
Laura	0.0717269
Betsy	0.0712859
"Santa Anita"	0.0711174
Janet	0.0710462
Rhonda	0.0709164
Eleanor	0.0705954
Lydia	0.0704133
Esther	0.0702142
Nicole	0.0701274
Dorothy	0.0697532
becky	0.0697484
Judy	0.0695422
Audrey	0.0694769
Caroline	0.0693574
Annie	0.0693379
hazel	0.0690628
Frances	0.0685866
Sally	0.0685674
Michele	0.068448
Kathy	0.068389
Donna	0.0682146
Irina	0.0680817
Amy	0.0680691
Carol	0.0674067
Lisa	0.067352
Norma	0.0672142
Melinda	0.0671013
Edith	0.0670436
Nina	0.0669739
Sara	0.0666852
Ethel	0.0660958
Millie	0.0656757
Sheila	0.0654608
Jennifer	0.0647188
Keeneland	0.0643408
Betty	0.0642841
Polly	0.0642392
Sylvia	0.0641095
ANN	0.0640224
Jill	0.0639959
Brooke	0.0639465
"Lauren Bessette"	0.0633206
Shirley	0.0631264
"Yoko Ono"	0.0630009
gloria	0.0629254
Paulina	0.0624581
Andrea	0.0624496
"Wang Yeping"	0.0623687
Pamela	0.0616006
Alexandra	0.0615749
Lucille	0.0613769
"Nicole Brown Simpson"	0.0610369
Beatrice	0.0607351
Winnie	0.0607194
Joan	0.0606477
anna	0.0604214
Laurie	0.0603612
Lynn	0.0601209
Marie	0.0599013
Marlene	0.0598523
Miriam	0.0598244
colleen	0.0597198
Marilyn	0.0592257
Jane	0.0586854
Elena	0.058567
Martha	0.0585322
Billie	0.0582467
Rebecca	0.0582463
"Graca Machel"	0.0579601
Imelda	0.0576708
Hamid	0.0574878
Alma	0.0568975
Melanie	0.0565928
Marion	0.0564001
Tipper	0.0558592
Rachel	0.0557895
Pauline	0.0556714
Beth	0.0556166
two-mile	0.0554877
Katherine	0.0553101
Ellen	0.0552236
Erica	0.055004
Sarah	0.0549327
Alice	0.0546119
Toni	0.0542777
Louise	0.053936
Bessie	0.0535788
Hialeah	0.052901
"Coretta Scott King"	0.0528365
Julia	0.0526926
Libby	0.0524072
Vera	0.052292
Yarmila	0.0520616
Rosa	0.0520289
Dana	0.0520013
Lyn	0.0519661
Anne	0.0516389
Ashley	0.0514659
Judith	0.0514317
Regina	0.0514245
sandy	0.0513788
Lorraine	0.0513519
Sharon	0.0513268
Meg	0.0511423
Jackie	0.0505644
Lucy	0.0503745
Mona	0.0502988
"Hollywood Park"	0.0500179
"Belmont Park"	0.0495401
"Jane Fonda"	0.0492929
Kimberly	0.0491506
Jessie	0.0489316
Thelma	0.0483297
Maude	0.0483231
Sandra	0.0483054
Nada	0.0483
"Princess Diana"	0.048157
Carla	0.0479689
Melissa	0.0476891
Erin	0.0476267
))
("Anita DeFrantz" (desc 1855.09) (sims
"Kevan Gosper"	0.348537
"Dick Pound"	0.339306
"Jacques Rogge"	0.289444
DeFrantz	0.229931
"Marc Hodler"	0.216782
"Phil Coles"	0.165125
Un-yong	0.16076
"Charles Mukora"	0.147918
"David Sibandze"	0.143526
"Jean-Claude Ganga"	0.141293
Gosper	0.130942
"Hu Jintao"	0.120692
"Colin Campbell"	0.120382
"Paul Kagame"	0.115524
"Leon Brittan"	0.115008
"Rod Thorn"	0.113679
"Agustin Arroyo"	0.112964
"Elgin Baylor"	0.102898
"Lucy Edwards"	0.101437
"Walter Mondale"	0.0923234
"David Jones"	0.0922289
"Kresimir Zubak"	0.0918094
"Yossi Beilin"	0.0913595
"Franz Beckenbauer"	0.0895968
"Hanan Ashrawi"	0.0893007
"Yu Yongbo"	0.0890487
"Joao Havelange"	0.0875802
Mukora	0.0868471
"Dave Johnson"	0.0862492
"Dan Meridor"	0.0856912
"Princess Anne"	0.0825723
"Megawati Soekarnoputri"	0.0822971
Hu	0.0764021
"Faisal Husseini"	0.0744125
"Ozzie Newsome"	0.0735605
"Huang Ju"	0.0735443
"Yossi Sarid"	0.0718264
"Wei Jianxing"	0.0714237
"David Johnson"	0.0705423
"Wayne LaPierre"	0.0701942
"Jerry West"	0.0696149
"Galina Starovoitova"	0.0696128
"Jerry Krause"	0.0686012
"William Walker"	0.0678483
"Marzuki Darusman"	0.0678118
"Haim Ramon"	0.0676741
"Sandy Alderson"	0.0665958
"Momcilo Krajisnik"	0.0664386
Ashrawi	0.0658417
Zeng	0.0657978
"Ding Guangen"	0.0638165
"Li Tieying"	0.063587
"Bobby Julich"	0.062941
"Dan Quayle"	0.0628937
"Juan Antonio Samaranch"	0.0621148
Hodler	0.0619658
Beilin	0.0615586
"ethics panel"	0.0613897
Barbour	0.0611581
"Joseph Estrada"	0.061082
"Zeng Qinghong"	0.0607483
"Wen Jiabao"	0.0603408
Tanaka	0.0602136
"John Kim"	0.0579843
Cao	0.0578496
"Andrew Ramirez"	0.0578116
"Jia Qinglin"	0.0574451
"Fu Quanyou"	0.0573347
"Jim Kolbe"	0.0571024
Smirnov	0.0568839
"Steve Campbell"	0.0565471
"Biljana Plavsic"	0.0560613
"Lenny Krayzelburg"	0.056056
"Steve Chabot"	0.055622
"Dennis Mitchell"	0.055567
"Tom Johnson"	0.0553845
"Fehmi Agani"	0.054948
"Chen Hua"	0.0547997
D-Del.	0.054768
Shaath	0.0547106
"Tom Dolan"	0.054679
"Jim Jones"	0.0544748
Samaranch	0.0544707
"John Conyers Jr."	0.0543804
"Lu Yufu"	0.0542944
"Tyler Hamilton"	0.0542307
"Barney Frank"	0.0541653
barrios	0.0535258
"Tom Hayden"	0.0533579
"Max Cleland"	0.0530198
"Kim Batten"	0.0527505
"Hubert Humphrey"	0.0518764
Brittan	0.0518239
"Vo Van Kiet"	0.051817
Ruehe	0.0517974
"Caroline Kennedy Schlossberg"	0.0517769
"Australian Olympic Committee"	0.0516396
"Kimberly Po"	0.0509285
"solicitor general"	0.0508553
"Regina Jacobs"	0.0506665
Joklik	0.0506386
Yandarbiyev	0.0505856
"Frank Joklik"	0.0505789
"Tom Welch"	0.0505645
"Dai Bingguo"	0.0505482
"postmaster general"	0.0503545
"Vincent Spadea"	0.0503525
Krajisnik	0.0503065
D-Minn.	0.0499591
"Tom Kelly"	0.0496504
"Maxine Waters"	0.0493935
Anand	0.0492992
"Stacy Dragila"	0.0490424
Jia	0.049013
"Corina Morariu"	0.0488471
UNOCAL	0.0487763
"MaliVai Washington"	0.0487318
"Inger Miller"	0.0486141
"Tillie Fowler"	0.0484185
secretary-treasurer	0.0483977
"Todd Eldredge"	0.0483034
"Wu Bangguo"	0.0480676
"Li Zhaoxing"	0.0479093
Stoneman	0.047674
"Motorola Inc."	0.0476604
"Khaleda Zia"	0.0474266
"Jiang Chunyun"	0.0473427
"Softbank Corp."	0.0473033
Rudman	0.0470465
"Larry Craig"	0.0470444
"Export-Import Bank"	0.0470076
"Li Lanqing"	0.0469753
Noboa	0.0468757
Garza	0.0468438
"Salt Lake Organizing Committee"	0.0467354
Jing	0.0467168
Calloway	0.0466972
D-S.C.	0.0464941
"John Conyers"	0.0464927
Markovic	0.0463107
Napolitano	0.0463044
"Bob Barr"	0.0461649
Arroyo	0.0461406
al-Maktoum	0.0459329
Consul-General	0.0458964
"Martin Frost"	0.0456397
"Alexander Shokhin"	0.0455595
"Le Kha Phieu"	0.0452972
"Airtouch Communications"	0.045259
"Vince Spadea"	0.0451986
Kazhegeldin	0.0450927
Fu	0.0449825
Hasan	0.0449629
Erving	0.0448934
"Wang Chunlu"	0.0448873
"Alija Izetbegovic"	0.044768
Dougherty	0.0447354
R-Ga.	0.0446501
"Lee Hamilton"	0.0443502
Coutts	0.044272
"Derrick Adkins"	0.044239
"B.J Habibie"	0.0441395
"Luo Gan"	0.0439881
"Mark Crear"	0.0439665
"Jack Kemp"	0.0439573
"Koichi Kato"	0.0439385
R-Ark.	0.0438485
"Wesley Clark"	0.0438321
Alderson	0.0437919
"Scandinavian country"	0.043633
Nadler	0.0431612
"Mahmoud Abbas"	0.0430916
"Megawati Sukarnoputri"	0.0430448
"Robert Reich"	0.0429373
Kolbe	0.0429089
"Amy Frazier"	0.0429029
"Ron Brown"	0.0427895
Biden	0.0427027
"Fiona May"	0.0424771
DIMON	0.0424267
Marquez	0.0423
Kushner	0.0422962
Zia	0.0421825
vice-president	0.0418814
"Ward Connerly"	0.0418469
"John Boehner"	0.0418345
"Picabo Street"	0.041589
"Lu Ping"	0.0414923
Kessler	0.0414221
"Li Ruihuan"	0.0413242
Kagame	0.0411797
"National Security Adviser Sandy Berger"	0.0411024
"Dwight Clark"	0.0409021
"Brad Faxon"	0.0408287
Meier	0.0407497
Jayakumar	0.0406828
"William S. Cohen"	0.0406475
Hagel	0.0404459
R-Ind.	0.0404197
"Caroline Kennedy"	0.0404111
))
("Anita Hill" (desc 1716.79) (sims
Maurizi	0.195515
Tevanian	0.17843
Broaddrick	0.165158
Hodler	0.16048
Shayler	0.155582
"Kathleen Willey"	0.151156
"Sandra Day O'Connor"	0.148871
"Antonin Scalia"	0.132135
Azizan	0.127191
Barksdale	0.125311
Colburn	0.121317
Glaser	0.120032
Willey	0.113489
DERSHOWITZ	0.109017
Trulock	0.103008
Alioto	0.0997679
McLeod	0.0918411
Ritter	0.0916145
CFTC	0.0908789
Jenoff	0.0906833
Cornyn	0.0874275
Kulikov	0.0849692
"Ruth Bader Ginsburg"	0.0772408
Musa	0.076221
Harris-Lewis	0.0749277
"Betty Friedan"	0.0743181
Ratner	0.0740677
Ummi	0.0721972
"Paula Jones"	0.0712518
EEOC	0.0711173
LOUIMA	0.070723
LaPierre	0.069854
Keitel	0.0685015
Duffy	0.0683028
Garcetti	0.0682141
Wigand	0.0680276
Jarrell	0.0671231
whistle-blowers	0.0664492
Maritz	0.0657075
Meskini	0.0656894
Brawley	0.0652245
Hersh	0.0652036
McGill	0.0649878
"Gennifer Flowers"	0.0642126
Fassett	0.0636526
Postol	0.0633108
Blumenthal	0.0623715
Mudge	0.0617191
Lindsey	0.0611985
Yazdi	0.0611352
hale	0.0611004
Mullinax	0.0607211
Schmalensee	0.060231
Greenwald	0.0597018
Bloch	0.058516
Flynt	0.0583574
Felten	0.0583436
McDougal	0.0581542
"Clarence Thomas"	0.057922
Jovanovic	0.0576147
AGL	0.0574187
Pagones	0.0570994
Fayed	0.0568638
"Oliver North"	0.055539
Gangelhoff	0.0550538
Inhofe	0.054795
"Robert Bork"	0.0546439
"Al Fayed"	0.0540675
Caddell	0.0536647
Chung	0.0529064
Mendoza	0.0528866
Bragman	0.0526377
whistleblowers	0.0523789
Bronfman	0.0523072
"John Cornyn"	0.0518151
Winchell	0.0515479
"Joseph McCarthy"	0.0510942
"Susan McDougal"	0.0506933
ill-treatment	0.0506922
Reimer	0.0503472
Portnoy	0.0502148
"Public Citizen"	0.0501081
Turetzky	0.0497194
Carrera	0.0496734
"Marcus Outzen"	0.049283
Faget	0.0492361
Flemmi	0.0491442
Schwarz	0.0490497
Bulatovic	0.0487107
Hamlin	0.048472
Briere	0.0483859
"Marianne Gingrich"	0.0480576
Mercurio	0.0480089
Horner	0.0479343
Ganga	0.0477115
"Monica S. Lewinsky"	0.0476112
Hanley	0.0476061
Pugh	0.0475814
Ickes	0.0473043
Menchu	0.0472044
"police sergeant"	0.0470811
Jayalalitha	0.0470248
Vollebaek	0.0467859
Kornberg	0.0466502
"Sidney Blumenthal"	0.046562
"Geraldine Ferraro"	0.0465194
Crocker	0.0464402
Waugh	0.0463478
"Carolyn Maloney"	0.046224
Greenpeace	0.045616
NKP	0.0454118
Lockyer	0.0453275
"Abner Louima"	0.0453039
Kiareldeen	0.0451778
"Ruiz Massieu"	0.0451617
Schweitzer	0.0450971
Guidry	0.045021
EP	0.0446836
Lipstadt	0.0445663
Duff	0.0444197
"Di Canio"	0.0441886
Ferris	0.0437958
Schmeichel	0.0437464
SFA	0.0436762
Yavlinsky	0.0433971
"minority shareholder"	0.0432566
"police lieutenant"	0.0432523
Lucic	0.0432006
"Alice Walker"	0.043167
Dalai	0.0430909
Strauss-Kahn	0.0430279
Bellush	0.0430114
Kenna	0.0429667
"Kent Conrad"	0.0429316
Goff	0.0427195
Skuratov	0.0424624
Bruton	0.042433
Wolfson	0.0423573
Gaynor	0.0423553
counterclaim	0.042214
McMellon	0.0421865
Mordechai	0.0416775
Noboa	0.0416659
UFW	0.0415566
"Thurgood Marshall"	0.0414426
Seselj	0.0414264
Zapatistas	0.0412278
Harrah	0.0410676
Farber	0.0409953
Kehoe	0.0409563
"Carlos Salinas"	0.0407598
Neff	0.0407021
Ginsburg	0.0406892
Odeh	0.0406892
Eizenstat	0.0406464
brill	0.0405849
Draskovic	0.0405721
Plante	0.0404959
Aliev	0.0404291
Vacco	0.0402953
DiCarlo	0.0400737
))
("Anita Wachter" (desc 1706.67) (sims
"Thomas Stangassinger"	0.431491
"Renate Goetschl"	0.364295
"Alexandra Meissnitzer"	0.350605
"Hermann Maier"	0.337482
"Kjetil Andre Aamodt"	0.277893
"Katja Seizinger"	0.24686
"Lasse Kjus"	0.245513
"Martina Ertl"	0.239449
"Pernilla Wiberg"	0.223959
"Hilde Gerg"	0.218122
"Michael Von Gruenigen"	0.207111
"Judith Wiesner"	0.206105
"Yu Zhuocheng"	0.197911
"Barbara Paulus"	0.196717
"Barbara Schwartz"	0.192487
"Thomas Muster"	0.173663
"Jeremy Wotherspoon"	0.170063
"Claudia Pechstein"	0.16997
"Wang Yifu"	0.169426
"Deborah Compagnoni"	0.169239
"Barbara Schett"	0.163993
"Li Jiajun"	0.163627
"Isolde Kostner"	0.16334
"Simona Amanar"	0.163032
"Johan Museeuw"	0.16277
"Michael Doohan"	0.161091
"Kieren Perkins"	0.151582
"Rashid Sidek"	0.144918
"Maria Mutola"	0.144316
"Susie O'Neill"	0.144086
"Maria Butyrskaya"	0.137877
"Liu Xuan"	0.137581
"Erik Zabel"	0.132501
"Daniel Kowalski"	0.130605
"Abraham Olano"	0.130327
"Guo Jingjing"	0.128424
"Tian Liang"	0.127458
"Wang Yan"	0.127008
Shuwei	0.12446
"Picabo Street"	0.123834
"Jacques Villeneuve"	0.123619
"Svetlana Masterkova"	0.123273
"Wang Tao"	0.122406
"Irina Slutskaya"	0.122146
"Paul Tergat"	0.12071
"Yang Yang"	0.119693
"Martin Schmitt"	0.119671
"Dong Jiong"	0.119324
"Svetlana Khorkina"	0.119108
"Sturm Graz"	0.118926
"Rintje Ritsma"	0.116917
"Fu Mingxia"	0.115637
"Jorgen Persson"	0.115391
"Mark Crear"	0.114528
"Xiong Ni"	0.113748
"Samantha Riley"	0.113737
"Wang Liqin"	0.113266
"Liu Guoliang"	0.113028
"Daniel Komen"	0.112932
"Alberto Tomba"	0.112742
"Juha Kankkunen"	0.112639
"Frankie Fredericks"	0.111193
"Anjelika Krylova"	0.110973
"Brooke Bennett"	0.110755
"Lin Li"	0.110675
"Wang Chunlu"	0.110106
Zuelle	0.110102
"Merlene Ottey"	0.109964
"Li Na"	0.109689
Maier	0.109109
"Huang Xu"	0.108739
"Susi Susanti"	0.108256
Goetschl	0.107865
"Roger Federer"	0.107477
"Gunda Niemann-Stirnemann"	0.107313
Aamodt	0.107174
"Allen Johnson"	0.10704
"Cheah Soon Kit"	0.106167
"Marc Rosset"	0.105976
Hendrawan	0.105466
Khorkina	0.105379
"Kong Linghui"	0.10485
"Garry Kasparov"	0.104318
"Miguel Indurain"	0.104173
"Amy van Dyken"	0.104055
Hoogenband	0.103892
"Chen Jing"	0.103613
"Tommi Makinen"	0.103219
"Tom Dolan"	0.103037
"Heryanto Arbi"	0.102929
"Mariano Zabaleta"	0.102765
"Sergi Bruguera"	0.102418
"Peter Gade Christensen"	0.101846
"Bjarte Engen Vik"	0.101096
"Heinz-Harald Frentzen"	0.101024
Zanardi	0.100834
"Michael Schumacher"	0.100453
"Vanessa Atler"	0.100431
"Gary Hall"	0.0998145
Klagenfurt	0.099585
"Alexei Nemov"	0.099443
"Jean-Philippe Gatien"	0.0990678
"Liu Limin"	0.0973819
Doohan	0.0972893
"Wang Nan"	0.0972565
"Wilson Kipketer"	0.0971285
"Ian Thorpe"	0.0970517
"Fatuma Roba"	0.0967938
"Dai Yun"	0.0967262
"Sonia O'Sullivan"	0.0966592
Ertl	0.0964022
Meissnitzer	0.0962796
"Marina Anissina"	0.0962036
"Jimmy Vasser"	0.0956919
"Seibu Lions"	0.0947376
"Francisco Clavet"	0.0946876
Sautin	0.0940038
"Li Ju"	0.0939027
"Tyler Hamilton"	0.0938705
"Andres Gomez"	0.0937543
"Chris Boardman"	0.0937331
"Moses Tanui"	0.093478
Sanchez-Vicario	0.0931819
"Gong Zhichao"	0.0928485
"Ji Xinpeng"	0.0925977
"Deon Hemmings"	0.0923932
"Arnaud Di Pasquale"	0.0920666
Berasategui	0.0920185
"Ralf Schumacher"	0.0918326
"Laurent Brochard"	0.0917918
"Arnaud Boetsch"	0.0917673
"Todd Martin"	0.091709
"Penny Heyns"	0.0913183
"Richard Fromberg"	0.0913176
"Jeff Tarango"	0.0912165
"Max Biaggi"	0.0908472
Kjus	0.0907424
"Michele Bartoli"	0.0905292
"Elvis Stojko"	0.0903904
"Peter Rasmussen"	0.0900054
"John Vanbiesbrouck"	0.0896339
"Michael Stich"	0.0891633
"Carlos Sainz"	0.0891541
"Mary Joe Fernandez"	0.0890908
"Sandra Voelker"	0.0890903
"Renzo Furlan"	0.088435
"Felix Savon"	0.0882046
"Jan-Ove Waldner"	0.0878856
"Francesco Casagrande"	0.0876553
Vasser	0.0872016
"Cliff Ronning"	0.0868621
"Gianluca Pozzi"	0.0866074
"Magnus Gustafsson"	0.0862094
"Regina Jacobs"	0.0861814
"Xia Xuanze"	0.0861514
"Charles Austin"	0.0859692
"Inger Miller"	0.0859627
"Jon Drummond"	0.0857631
"MIka Hakkinen"	0.0854735
"Simon Archer"	0.08505
Gustafsson	0.0846237
"Richard Burns"	0.0845343
"Michelle Kwan"	0.0844022
"Bruny Surin"	0.084205
"Chen Lu"	0.0839608
"Poul-Erik Hoyer-Larsen"	0.0834511
"Wang Junxia"	0.0830894
"Damon Hill"	0.0826604
Seizinger	0.0824246
"Jim Corsi"	0.0822656
"David Coulthard"	0.0820541
"Mary Slaney"	0.0817879
"Joko Suprianto"	0.0817162
"Jenny Thompson"	0.081701
"Rodney Eyles"	0.0816988
"Asa Carlsson"	0.0816896
"Denis Pankratov"	0.0816565
"Juli Inkster"	0.0807835
"Javier Sanchez"	0.0807012
"Colin McRae"	0.0804504
"Alexei Yagudin"	0.0803301
"Gail Devers"	0.0802706
"Jason Stoltenberg"	0.0802667
"David Reid"	0.0802112
"Kenny Brack"	0.0801292
"Sarah Pitkowski"	0.0798695
"Grant Hackett"	0.0796164
"Adrian Voinea"	0.0794041
"Hristo Stoichkov"	0.0793639
"Mia Audina"	0.0789548
"Jana Novotna"	0.0789019
"John Godina"	0.0788703
"Shannon Miller"	0.078771
"Michelle Smith"	0.0786682
"Thomas Johansson"	0.0786023
"Ma Lin"	0.0785559
"Alex Zanardi"	0.0784406
Sidot	0.0783839
"Ye Zhaoying"	0.0783785
"Richey Reneberg"	0.0782385
))
("Anjelica Huston" (desc 1964.07) (sims
"Bill Pullman"	0.149018
"Sean Penn"	0.0897373
"David Arquette"	0.0825271
"Alicia Silverstone"	0.0656983
"Patsy Ramsey"	0.0623425
"Ray Romano"	0.0621743
"Emily Watson"	0.0620661
"Jane Fonda"	0.061431
"John Travolta"	0.0604281
"Tracey Ullman"	0.059872
"Albert Finney"	0.0590112
"Nathan Lane"	0.0587516
"Natasha Richardson"	0.0575564
Huston	0.0571104
"Edward Norton"	0.0562997
"Jeremy Northam"	0.0562766
Imelda	0.0540842
"Alfre Woodard"	0.0537945
"James Coburn"	0.0535909
"Annette Bening"	0.0535641
"Steve Martin"	0.053078
"Lisa Kudrow"	0.05217
"Stanley Tucci"	0.0518974
"Willem Dafoe"	0.051429
"Cate Blanchett"	0.0509551
"Chloe Sevigny"	0.0505554
"Brenda Blethyn"	0.049227
"Steve Zahn"	0.048973
"Janeane Garofalo"	0.0483553
"Matthew McConaughey"	0.0483404
"Christopher Walken"	0.0481803
"Woody Harrelson"	0.0479974
"John Cusack"	0.0478188
"Joan Allen"	0.0475915
"Bebe Neuwirth"	0.0467207
Teresa	0.0461996
Branagh	0.0460907
"Michael Douglas"	0.0458925
"Courtney Love"	0.0456101
"Ed Harris"	0.0455087
stepbrother	0.0453712
"Angela Bassett"	0.045141
"Nigel Hawthorne"	0.0450715
"Cameron Diaz"	0.0448442
"Yoko Ono"	0.0448125
"Oliver Platt"	0.0445125
"Ralph Fiennes"	0.0444063
Josephine	0.0442408
forman	0.043846
"Martin Scorsese"	0.0437942
"Drew Barrymore"	0.0437115
"JOHN TURTURRO"	0.043635
"Renee Zellweger"	0.0435683
"Clint Eastwood"	0.0432138
"Coretta Scott King"	0.0431204
Leah	0.0430631
"Susan Sarandon"	0.0428171
"Sharon Stone"	0.0424194
"Philip Roth"	0.0423804
"Ian McKellen"	0.041696
"George Clooney"	0.0410146
"Nick Nolte"	0.0406461
Reiner	0.0405668
patsy	0.0402242
))
("Anjelika Krylova" (desc 1195.64) (sims
"Elena Berezhnaya"	0.381451
"Oksana Kazakova"	0.354202
"Marina Anissina"	0.288615
"Maria Butyrskaya"	0.228613
"Irina Slutskaya"	0.228488
"Alexei Yagudin"	0.202956
"Michael Doohan"	0.198124
"Yu Zhuocheng"	0.19606
"Claudia Pechstein"	0.1932
"Liu Limin"	0.190839
"Todd Eldredge"	0.184508
"Wang Chunlu"	0.178797
"Elvis Stojko"	0.17703
"Li Jiajun"	0.168937
"Simona Amanar"	0.168045
"Gianni Romme"	0.166819
"Chen Lu"	0.166087
"Kieren Perkins"	0.164159
"Brooke Bennett"	0.16292
"Jeremy Wotherspoon"	0.161282
"Tara Lipinski"	0.15959
"Irina Privalova"	0.158415
"Juha Kankkunen"	0.156496
"Alexei Nemov"	0.156173
"Gunda Niemann-Stirnemann"	0.153937
"Fiona May"	0.153795
"Renate Goetschl"	0.153341
"Moses Tanui"	0.152475
"Michelle Kwan"	0.152365
"Hiroyasu Shimizu"	0.151
"Alexei Urmanov"	0.149325
"Tommi Makinen"	0.148966
"Yang Yang"	0.147315
"Martin Schmitt"	0.14707
"Heryanto Arbi"	0.146588
"Denis Pankratov"	0.146162
"Svetlana Khorkina"	0.144839
"Gong Ruina"	0.143966
"Rintje Ritsma"	0.143726
"Anatoly Karpov"	0.143689
"Sandra Voelker"	0.143288
"Grant Hackett"	0.143208
"Claudia Poll"	0.143096
"Guo Jingjing"	0.142143
"Wang Yifu"	0.141608
"Jorgen Persson"	0.141243
"Maria Mutola"	0.141059
"Ricky Subagja"	0.140421
"Paul Tergat"	0.138342
"Nancy Kerrigan"	0.135802
"Thomas Stangassinger"	0.135044
"Liu Guoliang"	0.13393
"Pavel Tonkov"	0.133005
"Tom Dolan"	0.132525
"Noureddine Morceli"	0.132138
"John Godina"	0.131853
"Jean-Philippe Gatien"	0.131417
Shuwei	0.130343
"Deborah Compagnoni"	0.129916
"Xiong Ni"	0.127731
"Johan Museeuw"	0.12741
"Hermann Maier"	0.126675
"Blaine Wilson"	0.126368
"Penny Heyns"	0.125762
"Wu Yanyan"	0.125702
"Tian Liang"	0.12536
"Katja Seizinger"	0.124766
"Michele Bartoli"	0.124273
"Joko Suprianto"	0.124105
"Alexander Popov"	0.123698
Yagudin	0.123232
"Ivan Ivankov"	0.122747
"Allen Johnson"	0.122705
Karpov	0.122586
"Ye Zhaoying"	0.120649
"Jan-Ove Waldner"	0.12041
"Le Jingyi"	0.120275
"Svetlana Masterkova"	0.12014
"Cheah Soon Kit"	0.119646
"Laurent Brochard"	0.119237
"Kong Linghui"	0.118675
"Shannon Miller"	0.118349
"Wang Tao"	0.118006
"Ge Fei"	0.117957
"Fu Mingxia"	0.117775
"Peter Rasmussen"	0.117678
"Derrick Adkins"	0.117419
"Inger Miller"	0.117373
"Alexandra Meissnitzer"	0.117214
"Khalid Khannouchi"	0.116857
"Wang Nan"	0.116799
"Cathy Freeman"	0.116394
"Abraham Olano"	0.116225
"Kinder Bologna"	0.115768
"Oksana Baiul"	0.115688
"Katarina Witt"	0.114677
"Carlos Sainz"	0.114482
"Li Ju"	0.114277
"Damon Hill"	0.113987
"Deon Hemmings"	0.113657
"Ivan Pedroso"	0.11274
"Martina Ertl"	0.112677
"Liu Xuan"	0.11248
"Max Biaggi"	0.112243
"Colin Jackson"	0.111986
Makinen	0.111679
"American Pete Sampras"	0.111459
"Juli Inkster"	0.111282
"Anita Wachter"	0.110973
"Colin McRae"	0.110702
"Tegla Loroupe"	0.110469
"Bjarte Engen Vik"	0.10998
"Gary Hall"	0.109702
"Li Na"	0.109393
"MIka Hakkinen"	0.109072
"Francesco Casagrande"	0.108826
"Daniel Kowalski"	0.108229
"Hilde Gerg"	0.107815
"Fatuma Roba"	0.107689
"Liu Yong"	0.10695
"Daniel Komen"	0.106866
"Lasse Kjus"	0.106658
"Gong Zhichao"	0.106372
"Vanessa Atler"	0.106367
"Wang Junxia"	0.106117
"Garry Kasparov"	0.10582
"Chen Gang"	0.105779
"Chen Hua"	0.105573
"Chen Jing"	0.10529
"Maurice Greene"	0.104608
"Susi Susanti"	0.104468
"Amy van Dyken"	0.104316
"Koji Ito"	0.103671
"Jacques Villeneuve"	0.101988
"Buster Douglas"	0.101562
Susanti	0.101061
"Deng Yaping"	0.100763
Villeneuve	0.100525
"Bruny Surin"	0.100494
Longo	0.100331
"Shanghai Shenhua"	0.100033
"Chris Boardman"	0.099745
"Dong Jiong"	0.099545
"Rexy Mainaky"	0.099442
"Chen Yan"	0.0990941
"Mark Crear"	0.098949
"Dan O'Brien"	0.0987424
"Stacy Dragila"	0.0985376
Khorkina	0.0982379
"Samantha Riley"	0.0981975
"Heike Drechsler"	0.0979033
"Frank Bruno"	0.0974063
"Felix Savon"	0.0961945
"Picabo Street"	0.0959221
"Susie O'Neill"	0.0946863
Sainz	0.0945138
"Michael Von Gruenigen"	0.0945108
"Jansher Khan"	0.0945083
Hendrawan	0.0943412
"Mia Audina"	0.0940172
"Wilson Kipketer"	0.0938487
"Marie-Jose Perec"	0.0937048
Penarol	0.0936697
"Donovan Bailey"	0.0934622
"Lenny Krayzelburg"	0.093327
"Michael Klim"	0.0928171
"Charles Austin"	0.0927132
"Gary Hall Jr."	0.0925608
"Linford Christie"	0.0918553
Svorada	0.0914216
"Kenny Brack"	0.0913018
"Alex Zanardi"	0.0908853
"Sonia O'Sullivan"	0.0907879
"Rodney Eyles"	0.0907713
"Dai Yun"	0.0905427
"Wang Liqin"	0.0904074
Bayi	0.090334
Zelezny	0.0900295
"Michael Weiss"	0.089813
"Sarah Hughes"	0.0890568
"Heinz-Harald Frentzen"	0.0887253
"Kim Batten"	0.0876646
"Gail Devers"	0.0873433
"Hicham El Guerrouj"	0.0872807
"Miguel Indurain"	0.0871843
"Bayi Rockets"	0.0870899
"David Reid"	0.0868608
"Ian Thorpe"	0.0865167
Doohan	0.0862053
"Tyler Hamilton"	0.0859784
"Tom Steels"	0.085675
"Michael Schumacher"	0.0853939
"Richard Burns"	0.0851367
"Yang Wei"	0.0843322
"Kristen Maloney"	0.0839066
"Zoran Primorac"	0.0837488
"Michael Johnson"	0.0834635
"Kjetil Andre Aamodt"	0.0834542
"Gabriela Szabo"	0.083411
"Laurent Jalabert"	0.0833855
))
(Anjouan (desc 3035.83) (sims
Bougainville	0.157162
Kyushu	0.126766
Batam	0.1252
Sipadan	0.117682
Sakhalin	0.109225
Comoros	0.10605
"Abu Musa"	0.104727
Caprivi	0.0969664
Abkhazia	0.0921087
Jolo	0.0907547
Abkhazian	0.0891766
Mindanao	0.0872097
Pemba	0.0858319
Montserrat	0.0816098
Crete	0.0814855
Moroni	0.0806559
Langkawi	0.0788777
Basilan	0.0761416
Palawan	0.0757436
"Ethnic Albanian"	0.0751216
"St. Croix"	0.0751044
Aceh	0.0732472
Sulawesi	0.0727967
Phuket	0.0714213
Guadalcanal	0.0704835
Maluku	0.070436
Moro	0.0694341
Cabinda	0.069171
Hispaniola	0.0687781
Anguilla	0.0687426
Timor	0.0681234
Zanzibar	0.0675371
"St. Maarten"	0.0672652
"New Caledonia"	0.0655042
Kashmiri	0.0652688
Oahu	0.0650376
Borneo	0.0647309
Somaliland	0.0646951
Mallorca	0.0646679
Hokkaido	0.0644787
Ambon	0.0643906
Kalimantan	0.0639737
Vieques	0.0638173
Chatham	0.0628391
Kauai	0.062462
Nevis	0.0621728
Sulu	0.0615344
"Great Lakes Region"	0.0610631
"St. Kitts"	0.0608412
Luzon	0.0601788
Martinique	0.0600334
"Guinea Bissau"	0.0597514
Madagascar	0.0589967
Drenica	0.0574321
"St. Helena"	0.057274
Okinawa	0.0567816
curacao	0.0566409
Corsica	0.0558976
Madeira	0.0555858
Kizlyar	0.0551247
Brcko	0.054938
Timorese	0.0545225
"San Salvador"	0.0545165
Chechen	0.0533768
"Democratic Republic of Congo"	0.0531835
"Chek Lap Kok"	0.0528759
Penang	0.0524026
Tanganyika	0.0523611
Sumatra	0.0523532
"New Guinea"	0.052243
Guadeloupe	0.0520265
Orahovac	0.0517851
Cozumel	0.0515414
Solomons	0.0507816
"Central African Republic"	0.0507325
Saipan	0.0498554
CHT	0.0490381
"Outer Banks"	0.0490293
BASQUE	0.0478279
MNLF	0.0476129
"St. Kitts and Nevis"	0.0475824
Kurd	0.0474228
"Solomon Islands"	0.0474053
Grenada	0.0474023
Sicily	0.0473633
Kargil	0.0473594
Kosovar	0.0471541
"Central Africa"	0.0468211
Flores	0.0461733
archipelago	0.0458783
ZHOUSHAN	0.0457037
"St. Thomas"	0.0456916
Dominica	0.0456788
Instinet	0.0455937
CFA	0.0455597
"North Maluku"	0.0454426
Nagorno-Karabakh	0.0454029
KNU	0.0453817
Guernsey	0.0452679
Bissau	0.0452441
Bakassi	0.0449683
Ibo	0.0449534
"Francisco Franco"	0.0444784
"Cape Verde"	0.044454
"New Territories"	0.0442712
sub-region	0.0441979
Cebu	0.0441722
"Tamil Eelam"	0.0440883
"Kosovo Albanian"	0.0439472
Mauritius	0.0439063
FN	0.0436566
Bengkulu	0.0435888
"Pulau Pinang"	0.0430694
"West Timor"	0.0430414
Dagestan	0.0428815
"Democratic Republic of the Congo"	0.0427255
"St. Lucia"	0.0426904
Okinawan	0.0426419
Buldon	0.0425801
"EU Commission"	0.0424604
Lesotho	0.0424108
Kurdistan	0.0423979
Nantucket	0.042291
Chiapas	0.0421182
Greater	0.0415634
"Australian Olympic Committee"	0.0414424
Niger	0.0414086
"U.S. Soccer Federation"	0.0411498
Tasmania	0.0409313
Aegean	0.0409259
"Fort Worth-Dallas"	0.0409123
UML	0.0408741
"Democratic Congo"	0.0407268
"Old City"	0.0405814
Aruba	0.0405477
"Hilton Head"	0.0403431
"International AIDS Conference"	0.0401963
"Wine Institute"	0.0401413
Kiribati	0.0400872
))
(ANKARA (desc 41278.4) (sims
Tehran	0.24145
CAIRO	0.227242
Islamabad	0.21286
Amman	0.210379
Riyadh	0.20584
Moscow	0.205753
Baghdad	0.196495
"New Delhi"	0.196106
ATHENS	0.195634
KIEV	0.189901
Damascus	0.188584
BUCHAREST	0.181178
SOFIA	0.179739
Luanda	0.178317
NICOSIA	0.177968
Istanbul	0.177884
SEOUL	0.177148
BELGRADE	0.177054
Beirut	0.176269
Bonn	0.176056
Algiers	0.175991
TIRANA	0.174805
Tripoli	0.170798
Khartoum	0.17058
Jakarta	0.169803
HARARE	0.169597
"Addis Ababa"	0.168885
Manila	0.167307
Nairobi	0.165491
KAMPALA	0.162991
DHAKA	0.162109
HANOI	0.161658
Lusaka	0.16164
PYONGYANG	0.161509
BOGOTA	0.161431
"Buenos Aires"	0.161135
ZAGREB	0.1579
Bangkok	0.15778
"Kuala Lumpur"	0.156544
Pretoria	0.156213
Rome	0.156035
Dushanbe	0.155461
Asmara	0.154505
BRUSSELS	0.154192
COLOMBO	0.154003
WARSAW	0.153988
BEIJING	0.153368
MAPUTO	0.152333
"Phnom Penh"	0.150392
Havana	0.149642
Minsk	0.1496
Kigali	0.149519
Vienna	0.149471
JOHANNESBURG	0.149121
Doha	0.148697
Sarajevo	0.147732
TUNIS	0.147005
Turkey	0.144828
"Tel Aviv"	0.144605
SANAA	0.142487
Tokyo	0.141645
MANAMA	0.140852
Geneva	0.140397
LISBON	0.140054
Helsinki	0.139934
Paris	0.139914
Prague	0.138417
"Abu Dhabi"	0.138287
CARACAS	0.137314
Kathmandu	0.136645
"Dar es Salaam"	0.136536
"Guatemala City"	0.136124
Quito	0.135243
Santiago	0.134433
STOCKHOLM	0.133716
BUDAPEST	0.133446
LONDON	0.132207
Managua	0.131642
"Mexico City"	0.131642
Lagos	0.130903
Tashkent	0.13021
Washington	0.130109
Madrid	0.129545
YANGON	0.128455
Rabat	0.128174
Lima	0.127864
Skopje	0.127713
Kabul	0.125966
"KUWAIT CITY"	0.1254
Tbilisi	0.125092
Kinshasa	0.124901
BRASILIA	0.124343
Accra	0.123348
JERUSALEM	0.123278
Oslo	0.121683
"Cape Town"	0.121625
Windhoek	0.120901
Pristina	0.119835
Belfast	0.119306
TEGUCIGALPA	0.119054
Abuja	0.118975
Lome	0.117551
Gaza	0.115531
Jeddah	0.115521
Berlin	0.115401
Baku	0.115082
Bujumbura	0.115048
Gaborone	0.115029
Dublin	0.112655
Israel	0.112314
Syria	0.112203
Mogadishu	0.111688
Freetown	0.109641
Monrovia	0.109099
Ottawa	0.108551
Dili	0.10816
Srinagar	0.107201
"Rio de Janeiro"	0.107006
Vientiane	0.106973
Canberra	0.106281
Libya	0.106007
"Ulan Bator"	0.105716
Lahore	0.105646
Yaounde	0.105508
"SANTAFE DE BOGOTA"	0.105385
Taipei	0.105108
Durban	0.104952
Iran	0.104692
Abidjan	0.104038
"La Paz"	0.103735
Egypt	0.103208
Kuwait	0.10313
Qatar	0.101888
Izmir	0.101745
Wellington	0.101594
Muscat	0.101472
Greece	0.100758
Cyprus	0.100576
Maseru	0.100463
Bahrain	0.1
Ramallah	0.0998183
Teheran	0.0996435
Dakar	0.0990439
Bissau	0.0987191
Shanghai	0.0984342
Frankfurt	0.0984035
Pakistan	0.0982446
Kunming	0.097912
Alexandria	0.0975342
Singapore	0.0974666
MELBOURNE	0.0966605
Peshawar	0.0965804
Vilnius	0.095825
"San Salvador"	0.0957984
CHENGDU	0.0955523
Alma-Ata	0.0955119
Bishkek	0.0943061
Chisinau	0.0941911
Eritrea	0.0940427
Amsterdam	0.0940284
Yerevan	0.093836
Luxembourg	0.0924519
"Santo Domingo"	0.0922913
Iraq	0.0922291
"ALMA ATA"	0.0921859
Macedonia	0.0920583
Karachi	0.0911155
Ethiopia	0.0907589
Arusha	0.0904985
MONTEVIDEO	0.0904165
"Saudi Arabia"	0.0904073
"Panama City"	0.0901495
Algeria	0.0899536
Asuncion	0.0897997
Copenhagen	0.0896782
Kandahar	0.0893699
Urumqi	0.0891005
Yemen	0.0888455
Katmandu	0.0881127
Yinchuan	0.0880333
Mbabane	0.0880024
Oman	0.0876042
Jayapura	0.0875541
Cartagena	0.0868201
Sudan	0.0860649
Grozny	0.0858521
Lhasa	0.0854799
Hangzhou	0.0854435
"Sao Paulo"	0.0851803
"Egyptian capital"	0.0846301
"Ho Chi Minh City"	0.0839746
"San Jose"	0.0839716
India	0.0839517
Auckland	0.0838949
Sydney	0.0836734
UAE	0.083524
Suva	0.0835004
Antalya	0.083344
Armenia	0.0831795
Brazzaville	0.0829713
))
("Anke Huber" (desc 7298.4) (sims
"Conchita Martinez"	0.425497
"Mary Pierce"	0.41475
"Arantxa Sanchez-Vicario"	0.398127
"Iva Majoli"	0.393298
"Arantxa Sanchez Vicario"	0.392764
"Amanda Coetzer"	0.380987
"Nathalie Tauziat"	0.380257
"Dominique Van Roost"	0.375312
"Irina Spirlea"	0.370858
"Sandrine Testud"	0.357161
"Monica Seles"	0.354662
"Patty Schnyder"	0.353411
"Jana Novotna"	0.342707
"Nicolas Kiefer"	0.341999
"Felix Mantilla"	0.341531
"Natasha Zvereva"	0.337931
"Julie Halard-Decugis"	0.336048
"Amelie Mauresmo"	0.331452
"Chanda Rubin"	0.327128
"Lindsay Davenport"	0.325445
"Thomas Enqvist"	0.3253
"Carlos Moya"	0.319618
"Ai Sugiyama"	0.318834
"Thomas Muster"	0.318183
"Albert Costa"	0.317551
"Goran Ivanisevic"	0.317137
"Magdalena Maleeva"	0.316908
"Mary Joe Fernandez"	0.316426
"Wayne Ferreira"	0.316023
"Marc Rosset"	0.314911
"David Prinosil"	0.312631
"Michael Chang"	0.311133
"Richard Krajicek"	0.310376
"Alberto Berasategui"	0.306874
"Tommy Haas"	0.305847
"Venus Williams"	0.305034
"Barbara Schett"	0.3049
"Barbara Paulus"	0.303267
"Alex Corretja"	0.302734
"Cedric Pioline"	0.299831
"American Chanda Rubin"	0.298766
"Amy Frazier"	0.297847
"Gustavo Kuerten"	0.296333
"Magnus Norman"	0.296152
"Jason Stoltenberg"	0.294821
"Steffi Graf"	0.294557
"Serena Williams"	0.293798
"Silvia Farina"	0.290938
"Yevgeny Kafelnikov"	0.289487
"Tim Henman"	0.287782
"Ruxandra Dragomir"	0.287451
"Boris Becker"	0.286056
"Richard Fromberg"	0.282676
"Nathalie Dechy"	0.281791
"Mariano Puerta"	0.281754
"Kimiko Date"	0.281225
"Sabine Appelmans"	0.280414
"Michael Stich"	0.280351
"Marcelo Rios"	0.280055
"American Lindsay Davenport"	0.279689
"Brenda Schultz-McCarthy"	0.279188
"Francisco Clavet"	0.278045
"Jonas Bjorkman"	0.277593
"Nicolas Lapentti"	0.277436
"Rainer Schuttler"	0.276387
"Greg Rusedski"	0.275029
"Karol Kucera"	0.272368
"Thomas Johansson"	0.271677
"Magnus Gustafsson"	0.271572
"Elena Likhovtseva"	0.271064
"Anna Kournikova"	0.270882
"Lisa Raymond"	0.269758
"Todd Martin"	0.267431
"Jennifer Capriati"	0.265717
"Kenneth Carlsen"	0.265335
"Petr Korda"	0.263101
"Judith Wiesner"	0.260953
"Scott Draper"	0.260689
"Hernan Gumy"	0.260667
"Andrea Gaudenzi"	0.259472
"Paul Haarhuis"	0.258559
"Alberto Costa"	0.257736
"Sergi Bruguera"	0.257523
"Martina Hingis"	0.256688
"Mark Philippoussis"	0.255436
"Carlos Costa"	0.254639
"Patrick Rafter"	0.254473
"Florencia Labat"	0.253201
"Sarah Pitkowski"	0.251736
"Todd Woodbridge"	0.250343
"Byron Black"	0.250156
"Albert Portas"	0.24937
"Naoko Sawamatsu"	0.249151
"MaliVai Washington"	0.247078
"Karina Habsudova"	0.245512
"Andrei Medvedev"	0.245505
"Tamarine Tanasugarn"	0.244608
"Jim Courier"	0.243885
"Pat Rafter"	0.242591
"Russian Yevgeny Kafelnikov"	0.241603
"Dominik Hrbaty"	0.241371
"Yayuk Basuki"	0.239545
"Adrian Voinea"	0.239363
"Galo Blanco"	0.238286
"Andre Agassi"	0.238072
"Arnaud Boetsch"	0.237177
"Sebastien Grosjean"	0.236846
"Marat Safin"	0.235323
"Fernando Meligeni"	0.234273
"Younes El Aynaoui"	0.234004
"Li Fang"	0.233766
"Mariano Zabaleta"	0.23262
"Renzo Furlan"	0.231125
"Vincent Spadea"	0.23095
"Mark Woodforde"	0.230619
"Franco Squillari"	0.230165
"Fabrice Santoro"	0.228635
Siemerink	0.227251
"Leander Paes"	0.227187
"Filip Dewulf"	0.225938
"Els Callens"	0.225112
"Sargis Sargsian"	0.225098
"Miriam Oremans"	0.224602
"Arnaud Clement"	0.224385
"Jerome Golmard"	0.224318
"Anne Kremer"	0.224263
"Guillaume Raoux"	0.223517
"Nicolas Escude"	0.222793
"South African Amanda Coetzer"	0.219467
"Brett Steven"	0.219115
"Hicham Arazi"	0.218246
"Karim Alami"	0.217748
"Magui Serna"	0.217696
"Anne-Gaelle Sidot"	0.217594
"Australian Mark Philippoussis"	0.214212
"Tatiana Panova"	0.213302
"Sjeng Schalken"	0.211564
"Javier Sanchez"	0.210518
"American Michael Chang"	0.210068
"Gong Zhichao"	0.209654
"Mikael Tillstrom"	0.209197
"American Todd Martin"	0.208884
"Joannette Kruger"	0.208101
"Andrei Pavel"	0.208006
"Arnaud Di Pasquale"	0.206981
"Ramon Delgado"	0.206379
"Jan-Michael Gambill"	0.206243
"Barbara Rittner"	0.205976
"Gianluca Pozzi"	0.204284
"Wayne Black"	0.203835
"Juan Antonio Marin"	0.203362
Berasategui	0.203206
"Rita Grande"	0.202505
"Olga Barabanschikova"	0.201954
"Jeff Tarango"	0.201751
"Steve Campbell"	0.201686
"Kristie Boogert"	0.200492
"Marcelo Filippini"	0.199305
"Stefan Edberg"	0.199168
"Peter Nicol"	0.198992
"Davide Sanguinetti"	0.198417
"Roger Federer"	0.198344
"Chris Woodruff"	0.198086
"Daniel Nestor"	0.195302
"Grant Stafford"	0.194636
"Bohdan Ulihrach"	0.194374
"Mark Knowles"	0.192978
"Pete Sampras"	0.192701
"Asa Carlsson"	0.19168
"Christian Ruud"	0.190931
"Cara Black"	0.189339
"Alex O'Brien"	0.18902
Dragomir	0.18822
"Kimberly Po"	0.186028
"Henrieta Nagyova"	0.185064
"Martin Damm"	0.184903
"Alexandra Fusai"	0.184753
"Nicole Pratt"	0.184676
Coetzer	0.184501
"Mahesh Bhupathi"	0.184327
"Richey Reneberg"	0.184194
"Corina Morariu"	0.183787
Enqvist	0.183535
Bjorkman	0.183324
"Slava Dosedel"	0.183253
"Magnus Larsson"	0.182828
Seles	0.182539
"Lleyton Hewitt"	0.18252
"Marcos Ondruska"	0.182402
"Rodney Eyles"	0.182183
Kafelnikov	0.181414
"Elena Dementieva"	0.180841
"Xavier Malisse"	0.180249
"Neville Godwin"	0.180171
Swardt	0.179466
"Tara Snyder"	0.178987
Corretja	0.178978
"Michael Tebbutt"	0.178767
"Ye Zhaoying"	0.178633
"Andrew Ilie"	0.17855
"Julian Alonso"	0.177693
"Vince Spadea"	0.177418
Clavet	0.176902
"Paola Suarez"	0.176232
"Sebastien Lareau"	0.174602
Sugiyama	0.172144
Ulihrach	0.171271
"Mirjana Lucic"	0.17019
"Nicklas Kulti"	0.170073
"Peter Gade Christensen"	0.169174
Kuerten	0.168937
"Juan Carlos Ferrero"	0.168331
Mantilla	0.167685
Stoltenberg	0.167643
"Jonathan Stark"	0.166938
"Daniel Vacek"	0.16688
"Catalina Cristea"	0.166665
Sanchez-Vicario	0.166457
Majoli	0.165774
"Jelena Dokic"	0.164672
"Helena Sukova"	0.164179
Bruguera	0.164088
Halard-Decugis	0.163963
"Andreas Vinciguerra"	0.163842
"American Pete Sampras"	0.163549
"Sanchez Vicario"	0.163538
"Kveta Hrdlickova"	0.163272
Hingis	0.163204
"Kim Clijsters"	0.162754
"Jiri Novak"	0.161861
Moya	0.161825
"Joko Suprianto"	0.160694
Henman	0.159725
Pioline	0.159246
"John Van Lottum"	0.159213
"Peter Rasmussen"	0.159179
"Camilla Martin"	0.158885
Kournikova	0.158825
Kroslak	0.158553
"Justin Gimelstob"	0.158479
Ivanisevic	0.158021
"Wang Nan"	0.157726
"Heryanto Arbi"	0.15725
Mauresmo	0.156705
"Dai Yun"	0.156509
"American Andre Agassi"	0.154517
Novotna	0.154286
"Wang Liqin"	0.15407
Rusedski	0.153046
"Jansher Khan"	0.152771
Testud	0.151695
rios	0.151028
"Van Roost"	0.149734
Davenport	0.147438
"Ong Ewe Hock"	0.147299
Huber	0.147139
Dosedel	0.146846
"Kong Linghui"	0.146402
"Jacco Eltingh"	0.146239
Hendrawan	0.146123
Ferreira	0.145813
Agassi	0.145654
Likhovtseva	0.145628
"Li Ju"	0.144935
"Fung Permadi"	0.144222
Rosset	0.143475
Kucera	0.143383
"Martin Schmitt"	0.14231
"Zhang Ning"	0.141731
"Mia Audina"	0.141691
"Max Mirnyi"	0.140878
"Wang Chen"	0.139577
"Jan-Ove Waldner"	0.139477
"Taufik Hidayat"	0.139474
"Paul Goldstein"	0.139284
"Liu Guoliang"	0.138739
"Andres Gomez"	0.138589
"Katja Seizinger"	0.138539
Tauziat	0.138208
Edberg	0.13806
"Barbara Schwartz"	0.136736
"Lori McNeil"	0.136674
"Alexandra Stevenson"	0.136584
Krajicek	0.135968
"Heike Drechsler"	0.13591
Korda	0.135545
"Guy Forget"	0.133042
"Dennis van Scheppingen"	0.131011
"Briton Greg Rusedski"	0.130243
"Gunda Niemann-Stirnemann"	0.130076
"Borussia Dortmund"	0.128977
Kiefer	0.128326
"Xia Xuanze"	0.127676
Zvereva	0.127505
Schett	0.125605
"Wayne Arthurs"	0.12467
Raoux	0.124379
Safin	0.124141
"Denisa Chladkova"	0.123745
"Hilde Gerg"	0.123571
Schnyder	0.123101
Hrbaty	0.12286
Capriati	0.122519
Spadea	0.122271
"Martina Navratilova"	0.122254
"Sandra Voelker"	0.121691
"Erik Zabel"	0.120182
Susanti	0.119815
Gustafsson	0.119491
Spirlea	0.117041
Schalken	0.11614
"Vladimir Samsonov"	0.116086
Lapentti	0.115641
"Dong Jiong"	0.115433
Tarango	0.115135
"Jimmy Connors"	0.114955
"Ma Lin"	0.11484
"Martina Ertl"	0.114524
Serena	0.114074
"Gong Ruina"	0.113501
Haarhuis	0.113089
Philippoussis	0.112907
Meligeni	0.112752
"Jean-Philippe Gatien"	0.112731
"Bayer Leverkusen"	0.112218
"Adriana Gersi"	0.112211
"Yang Ying"	0.112209
Muster	0.111818
Palmeiras	0.111467
Taufik	0.111295
Santoro	0.11113
"Wang Shi-Ting"	0.11083
"Diego Nargiso"	0.110317
"Jorgen Persson"	0.110214
"Bayern Munich"	0.110205
"Susi Susanti"	0.110045
Independiente	0.109562
Kaiserslautern	0.109279
Damm	0.108054
Pierce	0.107606
"Ji Xinpeng"	0.107467
Chang	0.107255
"Scarlet Knights"	0.107114
Nacional	0.107079
"Budi Santoso"	0.106555
"Colo Colo"	0.10654
Sampras	0.105578
Gimelstob	0.105378
Becker	0.105282
Woodforde	0.104067
"Chinese Taipei"	0.103802
"Werder Bremen"	0.103289
"Heinz-Harald Frentzen"	0.102949
Habsudova	0.102882
Gremio	0.10256
Frenchwoman	0.102466
Puerta	0.10237
Gambill	0.102303
"Ge Fei"	0.102276
Olympiakos	0.102153
"Mats Wilander"	0.10157
Prinosil	0.101275
Cruzeiro	0.101241
"Claudia Pechstein"	0.101152
Costa	0.100948
Graf	0.100853
"Partizan Belgrade"	0.100747
Larsson	0.100386
))
(Ankiel (desc 1183.12) (sims
Dempster	0.258269
D'Amico	0.240696
Harnisch	0.228509
Herges	0.225302
Rusch	0.220043
Bohanon	0.214322
Bottenfield	0.212874
Kile	0.207545
Schoeneweis	0.203364
Astacio	0.197992
Schourek	0.197522
Meche	0.191805
Elarton	0.190426
Eldred	0.190203
Mahomes	0.187014
Nagy	0.18642
Radke	0.18621
"Russ Ortiz"	0.184055
Bere	0.183546
Gagne	0.182782
Daal	0.180179
Hermanson	0.178462
Burkett	0.178389
Benes	0.178027
Candiotti	0.177671
"Jesus Sanchez"	0.176336
Petkovsek	0.176023
"Brian Moehler"	0.174869
"Chris Carpenter"	0.172744
Hentgen	0.172686
Halama	0.172589
Etherton	0.171673
Trachsel	0.171406
Mussina	0.170784
Reynoso	0.170176
"Woody Williams"	0.168011
"Kirk Rueter"	0.167919
Cloude	0.163537
Heredia	0.163358
Pavano	0.160904
Remlinger	0.160092
Moyer	0.159922
Helling	0.159171
Tapani	0.158418
Mlicki	0.158355
Olivares	0.157412
Moehler	0.156746
Isringhausen	0.156714
Dreifort	0.155178
"Eric Milton"	0.15493
Suppan	0.153525
Fassero	0.153192
"Jeff Weaver"	0.153005
Dotel	0.152794
Parris	0.152178
"Jason Bere"	0.151428
Rueter	0.150292
Mercker	0.147104
Checo	0.146723
Arrojo	0.146701
Ortiz	0.145286
Yoshii	0.144423
Loaiza	0.144368
"Jamey Wright"	0.143503
"Shawn Estes"	0.143297
Lieber	0.141614
Millwood	0.141506
Hudek	0.141174
"Mike Sirotka"	0.140911
"Shane Reynolds"	0.14068
"Jon Lieber"	0.140581
Mulholland	0.140559
"Javier Vazquez"	0.139876
Rapp	0.139505
Pulsipher	0.139375
Hershiser	0.137774
"Ron Villone"	0.137503
Gooden	0.134794
Saberhagen	0.134758
Percival	0.134661
Borbon	0.134481
"Brian Bohanon"	0.133629
Perisho	0.133192
"Chan Ho Park"	0.131471
"Pat Hentgen"	0.131237
Burba	0.131189
Benitez	0.131041
"Pedro Astacio"	0.131038
Stephenson	0.130811
Osuna	0.130445
Leiter	0.130281
Mendoza	0.129789
Glavine	0.129502
Haynes	0.129472
Wohlers	0.129463
Nunez	0.129332
Appier	0.128939
Washburn	0.128919
Valdes	0.128485
Woodard	0.128423
"Mike Remlinger"	0.128324
Vazquez	0.128215
"Dustin Hermanson"	0.127668
Yarnall	0.127311
Valenzuela	0.124687
"Paul Shuey"	0.124394
Guzman	0.124258
Cormier	0.124182
Belcher	0.123515
"Matt Morris"	0.123261
"Dan Miceli"	0.123217
Neagle	0.123111
Sele	0.122262
"Bryce Florie"	0.121719
"Steve Trachsel"	0.121689
Cabrera	0.121589
"Matt Mantei"	0.121228
Cordero	0.12071
"Brian Anderson"	0.120565
Higginson	0.120162
"Robb Nen"	0.119686
"Jason Schmidt"	0.119598
Cordova	0.118419
Wakefield	0.118246
Reyes	0.117744
Navarro	0.117681
Smoltz	0.117659
Zimmerman	0.117442
Nomo	0.117338
"Byung-Hyun Kim"	0.117035
Mantei	0.116825
"Jim Parque"	0.1164
Glynn	0.116312
"John Snyder"	0.116194
Koufax	0.116106
Gardner	0.116033
Masaoka	0.115603
"Terry Mulholland"	0.115239
Pettitte	0.114707
"Steve Parris"	0.114614
"Kevin Tapani"	0.114416
estes	0.114144
"Scott Karl"	0.114124
Irabu	0.113978
Castillo	0.113634
"Kent Bottenfield"	0.113459
gamecock	0.113452
Stottlemyre	0.113005
"first pitcher"	0.112786
"Brad Radke"	0.11273
"Danny Graves"	0.112373
Zito	0.112225
Abbott	0.112156
Hasegawa	0.112145
"Shigetoshi Hasegawa"	0.11173
"Russ Springer"	0.111575
"BRIAN MEADOWS"	0.110747
"Chuck Finley"	0.109708
McDOWELL	0.109654
"Pat Rapp"	0.109601
"Ramon Martinez"	0.1091
Molina	0.109047
"Armando Reynoso"	0.108892
"Mike Stanton"	0.108616
"Bartolo Colon"	0.10854
Finley	0.108377
"Sidney Ponson"	0.108266
Grimsley	0.108047
"Scott Sullivan"	0.108045
"DOUG JONES"	0.107965
"Paul Byrd"	0.107291
"Ramiro Mendoza"	0.107274
Crabtree	0.107204
"Jose Paniagua"	0.106722
"Jamie Moyer"	0.106718
Fernandez	0.106065
Dickson	0.105809
"Dave Burba"	0.105367
"Gil Heredia"	0.105333
Erickson	0.105317
"Francisco Cordova"	0.105177
"Bret Saberhagen"	0.105164
Ritchie	0.105107
Schilling	0.105043
"Wilson Alvarez"	0.10502
"Quinton McCracken"	0.104619
"Tim Hudson"	0.104565
Wendell	0.104487
Loretta	0.104436
"Brett Tomko"	0.10393
Nevin	0.103612
Ashby	0.103603
Escobar	0.103506
"Sean Bergman"	0.103178
Redman	0.102953
right-hander	0.102813
"Dave Martinez"	0.102551
"STEVE WOODARD"	0.10192
"Scott Williamson"	0.101663
Ligtenberg	0.101413
Burks	0.101364
"Kent Mercker"	0.101205
Contreras	0.100697
DeShields	0.100629
"Arthur Rhodes"	0.100297
"Mike Jackson"	0.10023
))
(ankle (desc 62551.6) (sims
knee	0.355721
wrist	0.314452
hamstring	0.297847
groin	0.258945
elbow	0.256301
shoulder	0.238046
ligament	0.227007
thumb	0.205306
hip	0.203252
Foot	0.200337
toe	0.197203
sprain	0.192779
thigh	0.192229
collarbone	0.191094
injury	0.188391
neck	0.187382
tendon	0.184605
leg	0.181467
forearm	0.175626
rib	0.174911
concussion	0.169128
quadriceps	0.163476
muscle	0.158453
tendinitis	0.152871
"right hand"	0.143107
fracture	0.139345
calf	0.137961
shin	0.136526
pelvis	0.132216
kneecap	0.127837
finger	0.127301
bruise	0.126317
"index finger"	0.12454
"left hand"	0.121382
"achilles tendon"	0.118834
back	0.116568
arm	0.112504
flexor	0.109766
sore	0.105909
jaw	0.105163
sternum	0.102356
spasm	0.10231
abdomen	0.102253
chest	0.102085
waist	0.101459
buttock	0.100795
tibia	0.100311
"rib cage"	0.0995047
soreness	0.0990984
contusion	0.0963708
femur	0.0961667
bone	0.0956839
spine	0.095583
vertebra	0.0954753
stomach	0.0954684
Achilles	0.09106
cuff	0.0901075
"ring finger"	0.0899514
flu	0.0878706
biceps	0.0872156
"middle finger"	0.0865901
lung	0.0860593
heel	0.0851966
nose	0.08395
blister	0.0823956
"back pain"	0.081667
vertebrae	0.0807972
strain	0.0803049
surgery	0.0790034
cramp	0.0789752
ACL	0.0785818
laceration	0.078029
cartilage	0.0769653
nerve	0.0754367
ailment	0.0750212
hand	0.0750112
wound	0.0746532
limb	0.0744302
cheekbone	0.0722261
torso	0.0706634
"spinal cord"	0.0700327
forehead	0.0689613
hernia	0.0682628
joint	0.0676573
ear	0.0663289
eye	0.0652593
knuckle	0.0651188
skull	0.0647898
foul	0.0635347
pain	0.0632782
tightness	0.0630885
kidney	0.0621449
feet	0.0616273
throat	0.0591884
cheek	0.0580641
infection	0.0578237
eyelid	0.0570053
Chin	0.0565103
stiffness	0.0554864
touchdown	0.0551353
brain	0.0541606
breast	0.0528326
body	0.0521229
bad	0.0520989
"black eye"	0.0516813
illness	0.0514892
ulcer	0.0514619
interception	0.0512896
mouth	0.0509918
headache	0.0507867
helmet	0.0504294
lip	0.0499537
tackle	0.0498976
Quad	0.0497414
"rear end"	0.0496243
"colon cancer"	0.049359
trouble	0.0493287
retina	0.0491246
fatigue	0.0489884
heart	0.0480872
teeth	0.0472697
"field goal"	0.0471597
disk	0.047073
Tooth	0.0469709
cold	0.046581
belly	0.0464687
Gash	0.0462937
liver	0.0460748
butt	0.0459062
ego	0.0457399
syndrome	0.0452579
ball	0.0451644
inflammation	0.0448909
skin	0.0448853
"free throw"	0.0446565
tail	0.0446144
disc	0.0443558
tongue	0.0436028
suspension	0.0434516
fumble	0.0429266
arthritis	0.0429259
ICE	0.0425786
rebound	0.0421727
cancer	0.0414085
scalp	0.0410266
DL	0.040987
stroke	0.0408031
bench	0.0407814
trauma	0.0405182
pneumonia	0.040485
"heart attack"	0.0401503
))
("Anlong Veng" (desc 1138.46) (sims
Pailin	0.230294
Mazar-i-Sharif	0.214286
Kailahun	0.213427
Bamiyan	0.200681
Taloqan	0.188777
"Jaffna Peninsula"	0.16887
Malisevo	0.166158
Junik	0.161741
Makeni	0.159836
Bailundo	0.158622
Kilinochchi	0.154573
Jaffna	0.151454
"Mazari Sharif"	0.146976
Juba	0.144386
"Camp Abubakar"	0.141406
Andulo	0.133319
Baalbek	0.130629
Mazar-e-Sharif	0.130493
Goma	0.12815
Uvira	0.126685
Mullaitivu	0.119409
Kandahar	0.118585
Mosul	0.116366
Caguan	0.107422
Drenica	0.100038
"Suva Reka"	0.0949827
Mankulam	0.094956
"Banja Luka"	0.0929127
Lubumbashi	0.092801
Bukavu	0.0901766
Kisangani	0.0897343
Gudermes	0.0880645
"Kosovo Polje"	0.0877455
Vavuniya	0.0851618
Kismayu	0.0825858
Vedeno	0.0816263
Whitehall	0.081574
Stormont	0.0812314
Cacak	0.0808078
Charikar	0.0794229
Marjayoun	0.0793924
Manado	0.0793232
Kitona	0.0782803
Basilan	0.0777467
Kindu	0.0773509
Palembang	0.076766
Veracruz	0.0729193
Kabwe	0.0726177
"Kosovska Mitrovica"	0.0720468
Multan	0.0712577
flatlands	0.0704487
Matadi	0.0698082
Gaborone	0.0686431
"Leeward Islands"	0.06857
Kismaio	0.0677348
"Elephant Pass"	0.0677179
Maguindanao	0.0673356
Lhokseumawe	0.0671436
Nogales	0.0669975
"San Cristobal"	0.066858
Midrand	0.0655925
Naples	0.0653684
"Albanian Kosovo Liberation Army"	0.0650587
Rafah	0.0648389
Leskovac	0.0640151
Bolivar	0.063893
Huntsville	0.0637486
Windhoek	0.0629284
Gainesville	0.062809
"Grand Rapids"	0.0625353
Atambua	0.0624379
"Northern Alliance"	0.0622651
Djakovica	0.0621637
Mitrovica	0.0620824
"East Texas"	0.0613022
Jalalabad	0.0612443
Portadown	0.0608581
Elf-Aquitaine	0.0607959
"Orient House"	0.060162
Klina	0.0597565
Bujumbura	0.0592409
Laramie	0.0589221
Argun	0.0588522
"Eastern Province"	0.0587987
"Rashid Dostum"	0.0587488
Urosevac	0.058678
Tuzla	0.0585264
"Colorado Springs"	0.0583023
Dearborn	0.0581971
Tunceli	0.0580718
Trincomalee	0.0580557
Rangoon	0.0579541
"Sinai Peninsula"	0.0576331
Podujevo	0.0576245
"Liberation Tigers"	0.0571768
Sevastopol	0.0566703
Srinagar	0.0565033
"Empire State"	0.056222
"French capital"	0.0558584
"Arctic Circle"	0.0557441
amateurism	0.055663
Masood	0.0556076
Dulles	0.0553958
Bundibugyo	0.0551867
"Egyptian capital"	0.0551051
Prizren	0.0549923
"Abdul Malik"	0.0548597
provincialism	0.0547019
Orahovac	0.0546329
PEC	0.0546298
Baotou	0.0544327
Jezzine	0.0542604
"Missouri River"	0.054211
Belacevac	0.0540947
Americus	0.0540143
Dundalk	0.0539796
"Novi Sad"	0.0537146
Ensenada	0.0531692
"Golden Triangle"	0.0531655
Walkerton	0.0527066
"Gulbuddin Hekmatyar"	0.0524914
Huambo	0.0522758
"Bekaa Valley"	0.0522393
Quetta	0.0521806
Kenema	0.0521602
Vukovar	0.0519168
"Fort Campbell"	0.0517526
Monrovia	0.0517357
Shepherdstown	0.0515308
"Everglades National Park"	0.0515228
Kitgum	0.0515074
Kwazulu-Natal	0.051395
"Union City"	0.0512865
"Saratoga Springs"	0.051262
Haifa	0.0512539
Skopje	0.0510867
Wahhabis	0.0508747
Kitwe	0.0508474
"South Lebanon"	0.050696
Gulu	0.0505636
"Shan State"	0.0504699
Batticaloa	0.0500395
Kalemie	0.0498809
Mina	0.0498687
Casas	0.0498536
Badme	0.0496492
Arua	0.0496144
"Mekong Delta"	0.049478
Nago	0.0491547
Diyarbakir	0.0490808
RRA	0.0490708
"Borough Park"	0.0487762
Luoyang	0.0487365
Peshawar	0.0485909
"Lake Worth"	0.0481391
"Western Sahara"	0.0479636
Timor	0.047759
Arad	0.0475405
Irbil	0.0472351
Harlingen	0.0469254
Dostum	0.0468789
Kragujevac	0.0466533
Dele	0.0465174
"New Braunfels"	0.0464047
Lubbock	0.0463387
Najaf	0.0463158
"Twin Cities"	0.0462555
Zacatecas	0.0459222
"mountain pass"	0.0459043
Princeville	0.0453032
Incirlik	0.0452569
Chappaqua	0.0451705
"human waste"	0.0450152
Waterville	0.0447761
"Cape Fear"	0.0447567
stele	0.044731
southland	0.0446863
Bradenton	0.0446354
SANAA	0.0446022
"danger zone"	0.0445635
Izetbegovic	0.0444601
Murmansk	0.0444488
"Palm Beach County"	0.0440065
Pelham	0.0439372
Prijedor	0.0439331
Yekaterinburg	0.0438021
airstrip	0.0436838
Vientiane	0.0436693
"Santa Cruz"	0.0436454
Binghamton	0.0435483
Saida	0.0435144
Urus-Martan	0.0434367
Amarillo	0.0434074
"Marin County"	0.0432063
kilometre	0.043134
Bangor	0.0430968
Sihanoukville	0.0429858
"North Caucasus"	0.0428156
Izmit	0.0427822
"Rahanwein Resistance Army"	0.0427535
))
(ANN (desc 8388.67) (sims
Eileen	0.180183
Susan	0.136876
Cheryl	0.135508
Lynne	0.135408
Patricia	0.13487
Kristin	0.132389
Diane	0.129736
Dorothy	0.128423
Theresa	0.125437
Margaret	0.123784
Deborah	0.121983
JoAnne	0.121233
Stephanie	0.118214
Beth	0.118073
Marlene	0.117931
Brenda	0.11654
Doris	0.115286
Denise	0.113203
Cathy	0.113026
Barbara	0.112807
Pauline	0.111873
Anne	0.11158
Judy	0.111003
Lisa	0.110636
Cindy	0.110499
Beverly	0.110283
Suzanne	0.110223
Jacqueline	0.110162
"Azizah Ismail"	0.109643
Carol	0.109584
Linda	0.107683
Peggy	0.107163
Julie	0.107114
Debbie	0.106692
Pam	0.106527
Olga	0.106484
Helen	0.106372
Edith	0.106253
Josephine	0.105667
Tracey	0.105054
Nancy	0.10496
Laura	0.104848
Michele	0.104058
Connie	0.103553
Elaine	0.103403
hazel	0.103112
Lois	0.103064
Valerie	0.102939
Evelyn	0.102799
Marian	0.102515
Hadassah	0.102374
colleen	0.101393
Terri	0.100513
Juanita	0.100407
Jill	0.100149
Karen	0.0999448
Rebecca	0.0997026
Phyllis	0.09925
Catherine	0.0988062
Sandra	0.0987801
Polly	0.0982745
Kathleen	0.0974624
Monique	0.0974529
Sally	0.0973746
Kathy	0.0971823
Jennifer	0.0969291
Donna	0.0969216
Ashley	0.0968152
alicia	0.0962369
Maureen	0.0960058
Vicki	0.0959485
Christine	0.0957255
Ellen	0.0949481
Brooke	0.094879
Caroline	0.0943191
Carolyn	0.0942732
Sonia	0.0941515
Teresa	0.0941471
Miriam	0.0940322
Erin	0.0935807
Julia	0.0931611
Marguerite	0.0925598
Kathryn	0.0923873
anna	0.0922422
Sylvia	0.0919081
Marcia	0.091548
Mary	0.0906935
Katie	0.0906883
Janice	0.090652
Lori	0.090582
Martha	0.0902996
Sara	0.089976
Christina	0.0896927
Liz	0.0896378
Cherie	0.0895966
Amy	0.0895133
Tipper	0.0886313
Rachel	0.0886089
Shirley	0.0884824
Elizabeth	0.0883989
Betty	0.0882139
Laurie	0.0881136
Nicole	0.0879887
Annie	0.0879269
Shannon	0.0879039
Jackie	0.0873799
Frances	0.0872019
Lydia	0.0871553
Rita	0.0870701
Maria	0.0870343
Natalie	0.08699
gloria	0.0866345
Jane	0.0865916
Debra	0.0865754
Roberta	0.0863405
Renee	0.0862834
Melinda	0.0860277
Louise	0.0858601
Angela	0.085784
Andrea	0.0855328
Lynn	0.0853529
Meg	0.0852742
Samantha	0.0851244
Sarah	0.0849865
Marie	0.084672
Sheryl	0.0846169
Marilyn	0.0845368
Millie	0.0844671
Emily	0.0843624
Heidi	0.0840396
Naomi	0.0839358
Pamela	0.0832022
Olivia	0.0831936
Eleanor	0.0830522
Gertrude	0.0828056
Sheila	0.0823398
Judith	0.0820913
Jessie	0.0820038
Patti	0.081841
Marianne	0.0818216
Janet	0.0811794
Esther	0.0811404
Michelle	0.0808377
Irina	0.0806753
Vera	0.0806119
Gail	0.0803006
Alice	0.0799724
Beatrice	0.079945
Marge	0.0794391
Katherine	0.0788465
Lauren	0.0783616
Jeanne	0.0779161
Marta	0.0775316
Megan	0.0775014
Dolores	0.0771294
Wanda	0.0758572
Ethel	0.0757466
sandy	0.0757384
Kate	0.0755544
Joan	0.0752776
Betsy	0.0751392
Nora	0.0751156
Camille	0.0749228
Annette	0.0749047
Kimberly	0.0747508
Nina	0.0746198
Elena	0.0745298
Erica	0.0742085
Danielle	0.0738519
Leah	0.0736788
"Barbara Bush"	0.0736134
Abby	0.0733837
Alexandra	0.0729404
Audrey	0.0728095
Norma	0.0726473
Lucy	0.0724377
Susie	0.0722063
"Lauren Bessette"	0.0717794
becky	0.0715974
Jessica	0.0712973
Claire	0.0711611
Vanessa	0.0708447
Cynthia	0.0708217
Chris	0.0707507
"Graca Machel"	0.07064
Claudia	0.0700013
Robin	0.0696897
Tina	0.0695214
Wendy	0.068952
Sharon	0.0685159
Natasha	0.0684287
Terry	0.068394
Dora	0.0681532
Rhonda	0.0681117
Anthony	0.0674695
Jamie	0.0673288
Melanie	0.0672906
Lou	0.0670759
Mona	0.0667513
Agnes	0.0666007
))
("Ann Arbor" (desc 4670.43) (sims
"East Lansing"	0.153419
"Grand Rapids"	0.142235
Dearborn	0.126685
Lansing	0.109543
"Auburn Hills"	0.105991
Saginaw	0.0965663
Winston-Salem	0.0956064
"Overland Park"	0.0934569
Knoxville	0.0929681
"New Haven"	0.0929188
"Chapel Hill"	0.0929128
Greensboro	0.0923245
ASHEVILLE	0.0916926
Columbus	0.0914375
Bloomfield	0.0899211
Missoula	0.0892601
Naperville	0.0882818
"Westlake Village"	0.0875795
flint	0.0875198
Evanston	0.086668
"West Orange"	0.0865146
"Mount Pleasant"	0.0858275
Englewood	0.0857507
"Highland Park"	0.0848271
"La Jolla"	0.083715
Utica	0.083582
Louisville	0.0817425
"White Plains"	0.0801898
"Simi Valley"	0.0798633
Marquette	0.0796809
"Santa Barbara"	0.0782742
Braintree	0.078206
Kalamazoo	0.0776141
Farmington	0.0772216
"Fort Lauderdale"	0.0771843
Durham	0.0770126
"Palm Beach Gardens"	0.0767326
Tuscaloosa	0.0767032
Berkeley	0.0767007
"Silver Spring"	0.0766892
Rochester	0.0766018
"College Station"	0.0764446
Wilmington	0.0764269
"New London"	0.0760641
"Santa Monica"	0.0760507
Glendale	0.0752609
Bangor	0.0751522
Alpharetta	0.0750003
Milwaukee	0.0749055
Morristown	0.0747904
"West Palm Beach"	0.0745049
Bloomington	0.0744662
"South Bend"	0.0742158
Tempe	0.0740874
"Garden City"	0.0739767
Nashville	0.0739373
Montclair	0.0729689
TALLAHASSEE	0.0728644
Bethesda	0.072771
"Walnut Creek"	0.072768
Minneapolis	0.072714
Worcester	0.0724172
"Fort Lee"	0.0723852
Storrs	0.0719795
Charlottesville	0.0718893
"Virginia Beach"	0.0713954
Fairfield	0.071391
Falmouth	0.0712334
Burlington	0.070931
Albuquerque	0.0709067
Pasadena	0.070251
"Palo Alto"	0.0693602
Tampa	0.0683518
Cambridge	0.0683069
midland	0.068295
Spokane	0.0681291
"Mountain View"	0.0677892
"Delray Beach"	0.0672792
bethel	0.0671749
Lubbock	0.0671416
"Research Triangle Park"	0.0671305
"Newport Beach"	0.0670839
Provo	0.0670535
Sedona	0.0670119
Amherst	0.0669971
Yonkers	0.0669196
"South Bronx"	0.0668901
"East Orange"	0.0667284
Richmond	0.0666525
Omaha	0.0663838
"Santa Clara"	0.066253
"Great Neck"	0.0659778
Burbank	0.065589
"Wichita Falls"	0.0654416
Newark	0.0654127
"El Paso"	0.0654053
Madison	0.0653016
"Little Rock"	0.0651963
"Orange County"	0.0650639
"San Rafael"	0.0648118
Americus	0.0647065
Blacksburg	0.0646662
"Boynton Beach"	0.0646595
Emeryville	0.0645864
Sunnyvale	0.064504
Troy	0.0643824
Gulu	0.0643569
Providence	0.064324
Chattanooga	0.0642443
Plymouth	0.0640753
riverside	0.0640142
Raleigh	0.0640029
Milford	0.0638826
"Des Moines"	0.0638401
Alameda	0.06318
Waltham	0.0631064
canton	0.0627602
"San Marcos"	0.062749
Fairfax	0.0627025
Kensington	0.0626641
Quincy	0.0626453
Lawrenceville	0.0625322
Framingham	0.0623144
"Jersey City"	0.0622878
"Menlo Park"	0.0620811
Tarrytown	0.0620046
Charleston	0.0619473
Shreveport	0.0617018
Akron	0.0616741
"Woodland Hills"	0.0616632
Herndon	0.0615922
Brooklyn	0.0615154
Fresno	0.0614425
Alexandria	0.0614004
Medford	0.0613122
"Baton Rouge"	0.0612461
Macon	0.0611392
"Santa Rosa"	0.0611074
Dayton	0.0610877
"San Antonio"	0.0610797
"Palm Springs"	0.061068
"El Segundo"	0.0610327
Honolulu	0.0609754
Burlingame	0.0609053
Springfield	0.0608365
"Fort Collins"	0.0608278
Ithaca	0.0603846
Longview	0.0603242
Paterson	0.0602967
Columbia	0.0602696
Middletown	0.0599747
Greenville	0.0597983
"Daytona Beach"	0.059739
Albany	0.0596266
Cupertino	0.0593556
Orlando	0.0592331
Redding	0.0591932
"South San Francisco"	0.0591799
"Santa Fe"	0.0591391
"Fort Worth"	0.059045
"Vero Beach"	0.0589678
"Miami Valley"	0.0587256
"Saratoga Springs"	0.058521
"Thousand Oaks"	0.0584586
"Mission Viejo"	0.0583918
"Round Rock"	0.0583916
Clearwater	0.058385
Pittsfield	0.0582712
Norwich	0.0581678
Gloucester	0.0580533
Topeka	0.0579944
Allentown	0.0579828
"Redwood City"	0.0579545
CARACAS	0.0576833
"Southern California"	0.0575315
Brockton	0.0575066
Stamford	0.0574699
"Sherman Oaks"	0.057351
"Westchester County"	0.0572738
Schenectady	0.0571594
Duluth	0.0570212
Lexington	0.0570005
Reston	0.0568468
Eugene	0.0567696
Irvine	0.056639
"Paradise Valley"	0.0565469
Boise	0.0564747
Waterford	0.0563564
Birmingham	0.0562294
"Culver City"	0.0559997
Calabasas	0.0557786
Wallingford	0.0556105
Charlotte	0.0555042
Fayetteville	0.0552378
"St. Paul"	0.05522
Tucson	0.0551452
"Washington D.C."	0.0548761
Scottsdale	0.0547442
Annapolis	0.0546739
Flushing	0.0546632
))
("Ann Richards" (desc 4765.41) (sims
"Mario Cuomo"	0.269702
"David Beasley"	0.20084
"Pete Wilson"	0.199856
"Fob James"	0.194125
"Jim Florio"	0.184926
"Jeanne Shaheen"	0.176125
"Zell Miller"	0.170173
"Lawton Chiles"	0.165594
"William Weld"	0.15791
"Buddy MacKay"	0.157628
"John Connally"	0.157282
"Paul Patton"	0.15415
"Michael Dukakis"	0.151932
"Mel Carnahan"	0.144573
"Jim Hodges"	0.14327
"Dennis Vacco"	0.141802
"Dan Morales"	0.140831
"Mike Foster"	0.140216
"Parris Glendening"	0.138147
"Jerry Brown"	0.137182
"Gray Davis"	0.134226
"Barbara Boxer"	0.131988
"Roy Romer"	0.131707
"George Pataki"	0.131556
"John Rowland"	0.130583
"Jimmy Carter"	0.129996
"Roy Barnes"	0.124139
"Russell Feingold"	0.122479
"Christie Whitman"	0.121027
"Alfonse D'Amato"	0.12102
"Biljana Plavsic"	0.120576
"George Bush"	0.119006
"Chris Patten"	0.116331
"Bill Owens"	0.115436
"Paul Cellucci"	0.114931
"George Ryan"	0.113985
"Patty Murray"	0.113978
"Garry Mauro"	0.113788
"Tom Vilsack"	0.113701
"Helmut Kohl"	0.113664
"John Engler"	0.112449
"Bob Bullock"	0.111265
"Tom Ridge"	0.108163
"Mike Leavitt"	0.107376
"George E. Pataki"	0.105628
"Don Siegelman"	0.105437
"Jane Hull"	0.105214
"Dan Lungren"	0.102864
"Jeb Bush"	0.102674
"Jim Guy Tucker"	0.101428
"John Cornyn"	0.101074
"Rick Perry"	0.101007
"Dianne Feinstein"	0.0988575
"Willie Brown"	0.0959793
"Lauch Faircloth"	0.0952908
"Evan Bayh"	0.0942866
"Lowell Weicker"	0.0942282
"B.J Habibie"	0.0941492
"Christine Todd Whitman"	0.0941483
"Dai Xianglong"	0.0929835
Richards	0.0923405
"Shimon Peres"	0.0906078
Engler	0.0892791
"Bruce Babbitt"	0.0888717
"Pedro Rossello"	0.0886146
"Lamar Alexander"	0.0877715
"Jim Hunt"	0.0875221
"Scott Harshbarger"	0.0874546
Pataki	0.085414
"Gary Johnson"	0.0851606
"Martin Frost"	0.0850476
Councilman	0.0848563
"Boutros Boutros-Ghali"	0.0846965
"George McGovern"	0.0844071
"George W."	0.0840235
"Kay Bailey Hutchison"	0.0833647
"Sheila Jackson Lee"	0.0822776
Sutiyoso	0.0817543
"John Ashcroft"	0.0816961
"Edward M. Kennedy"	0.0813265
"Gary Locke"	0.0811528
"Lyndon B. Johnson"	0.0802896
"Jon Corzine"	0.0801931
"Bill Bradley"	0.0801478
"Edwin Edwards"	0.0801226
"Harry Reid"	0.0799076
"lieutenant governor"	0.079872
"Betsy McCaughey Ross"	0.0789506
"Ronald Reagan"	0.0784039
"Edward Kennedy"	0.0782988
"George Wallace"	0.0766048
"Daniel Patrick Moynihan"	0.0764671
"Alexander Lebed"	0.0761691
"Al Gore"	0.0756544
"Democrat Al Gore"	0.075508
"General Agreement on Tariffs and Trade"	0.0750065
"Jesse Ventura"	0.0742031
"Manuel Noriega"	0.0739004
"Peter Vallone"	0.0738416
Comptroller	0.073552
"Geraldine Ferraro"	0.0735439
"John Conyers"	0.0730429
Dukakis	0.0729539
"Bob Dole"	0.0727964
"Walter Mondale"	0.0725847
"Frank Lautenberg"	0.0725492
"Nur Misuari"	0.0725462
"Tommy Thompson"	0.0724649
"Phil Gramm"	0.0722665
"Paul Coverdell"	0.0716944
"Jim Turner"	0.0716094
Voinovich	0.0712225
Carnahan	0.07116
"Benjamin Netanyahu"	0.0711411
"Lloyd Bentsen"	0.0705128
Pelosi	0.0704824
"Frank Keating"	0.0704105
"Bob Taft"	0.0703644
"John G. Rowland"	0.0703158
"Ted Kennedy"	0.0695922
"Al D'Amato"	0.069535
"Elizabeth Dole"	0.0693837
front-runner	0.069354
"Newt Gingrich"	0.0689991
"Margaret Thatcher"	0.0689849
"Charles Rangel"	0.0686763
"Robert Rubin"	0.0684634
"Terry McAuliffe"	0.0680775
"Tom DeLay"	0.0679003
"Charles Schumer"	0.0674035
"Gary Hart"	0.0665271
Vacco	0.0663826
"Yitzhak Rabin"	0.0663455
"Jim Gilmore"	0.0659688
"Vladimir Yakovlev"	0.0656638
alderman	0.0654612
"John Conyers Jr."	0.0652589
"Paul Keating"	0.0649548
"Bill Clinton"	0.0648535
"Boutros Boutros Ghali"	0.0646954
then-Gov.	0.0645307
"Robert C. Byrd"	0.0644797
"Steve Forbes"	0.0643783
Glendening	0.0643664
"John Kerry"	0.0640692
"Henry Bonilla"	0.0639721
Jeb	0.0638329
"Patrick Leahy"	0.0634498
"John McCain"	0.0633052
"Hillary Rodham Clinton"	0.0632492
"Nelson Rockefeller"	0.0628191
"Republican George W. Bush"	0.0626956
"Jack Kemp"	0.0626354
incumbent	0.0623984
Cellucci	0.062242
Gorton	0.0618933
"Bob Graham"	0.0617885
"Tomiichi Murayama"	0.0610786
"Momcilo Krajisnik"	0.0606583
"Dick Gephardt"	0.0604444
"Joseph Biden"	0.0604012
Misuari	0.0603219
"Slade Gorton"	0.0603067
D'Amato	0.0602237
frontrunner	0.0600791
"Mobutu Sese Seko"	0.0599127
"Lee Hamilton"	0.0598451
"Robert Menendez"	0.0594445
"Charles Stenholm"	0.0593649
"Felipe Gonzalez"	0.0593192
Cuomo	0.0588045
"Ron Paul"	0.0586915
Hollings	0.0586008
"James Soong"	0.0585295
Barnes	0.0584793
"Dick Armey"	0.0584427
"Dan Quayle"	0.0583996
"Peter Verniero"	0.0583802
"Henry Waxman"	0.0581699
"George Voinovich"	0.0577253
"Robert F. Kennedy"	0.0577249
"Ernest Hollings"	0.0577167
"Lloyd Doggett"	0.0576667
Florio	0.0575467
"Secretary-General Boutros Boutros-Ghali"	0.0575405
oilman	0.0574058
"Boris Yeltsin"	0.0573301
"Mike Huckabee"	0.0567834
"Waylon Jennings"	0.0563204
treasurer	0.0556443
Reagan	0.0556382
"Benazir Bhutto"	0.0556377
"Tom Harkin"	0.0555887
bullock	0.0555741
Sukarno	0.0553204
"Vladimir Meciar"	0.0553089
"state senator"	0.0552233
"Karla Faye Tucker"	0.0547162
Alexander	0.0546638
"Bill Graves"	0.0545707
))
(anna (desc 12620.4) (sims
Kristin	0.119556
Barbara	0.112152
Dorothy	0.108847
Annie	0.108233
Eileen	0.107601
Kathleen	0.107313
Sarah	0.106798
gloria	0.10647
Stephanie	0.106363
Kathy	0.103854
Olga	0.10339
Sonia	0.10276
Rebecca	0.101543
Patricia	0.101433
Nancy	0.100958
Julie	0.0996033
Susan	0.0987693
Debbie	0.0962086
Margaret	0.0955679
Lydia	0.0948634
Linda	0.0945721
Lisa	0.094524
Maureen	0.0945097
Jacqueline	0.0944647
Pam	0.0941418
alicia	0.0939023
Leah	0.0938625
Christine	0.0930512
Lori	0.0927879
Jackie	0.09237
ANN	0.0922422
Maria	0.0921529
Tracey	0.0921438
Carolyn	0.0918359
Esther	0.0916311
Marlene	0.0912077
Diane	0.0910894
Lynne	0.0909297
Michelle	0.0908586
Evelyn	0.0905124
Karen	0.0902238
Rita	0.0899951
Doris	0.089957
Edith	0.0898804
Beverly	0.0897052
Amy	0.089662
Rachel	0.0896075
Alexandra	0.0891616
Ashley	0.089154
Sara	0.089083
Lynn	0.0890437
Jill	0.0887802
Laura	0.0883069
Carol	0.0877731
Brenda	0.0876928
Nicole	0.0875806
Josephine	0.087536
Emily	0.0868855
Elizabeth	0.0866795
Marie	0.0861387
Kathryn	0.0858465
Monique	0.0858429
Beatrice	0.0855526
Suzanne	0.0852664
Theresa	0.0849807
Sylvia	0.0848362
Cheryl	0.0845927
Sally	0.0845518
Helen	0.0844657
Anne	0.0840542
Mary	0.0840092
Ellen	0.0835706
Jane	0.0832565
Valerie	0.0826993
Hannah	0.0826333
Camille	0.0826156
Audrey	0.082164
Katie	0.0819222
"Queen Noor"	0.0817259
Jennifer	0.0815223
Carrie	0.0812717
Connie	0.0810874
Joan	0.0809569
Irina	0.0809558
Laurie	0.0809231
Eleanor	0.0805651
Julia	0.0803268
Natalie	0.080092
Deborah	0.0800397
Megan	0.07957
JoAnne	0.0795139
Kate	0.0792908
colleen	0.0791575
Debra	0.0791574
Teresa	0.079045
Miriam	0.0788792
Andrea	0.0787186
Jessica	0.0784844
Polly	0.0783578
Cindy	0.0781467
Brooke	0.0780884
Pamela	0.0779177
Claire	0.0778894
Frances	0.0778848
"Azizah Ismail"	0.0775706
Lois	0.077267
Judy	0.0772656
Martha	0.0771702
Peggy	0.0771334
Roberta	0.0768329
Juanita	0.0766859
Donna	0.0766334
Alice	0.0761647
Catherine	0.0760819
Cynthia	0.0759677
Nora	0.0759027
Janice	0.0757163
Naomi	0.0756912
Caroline	0.0755287
Dolores	0.075521
Lucy	0.0748379
Terri	0.0748057
Angela	0.0747841
Shannon	0.0746692
Vanessa	0.0743609
Elaine	0.0743234
heather	0.0742445
Erica	0.0741914
Michele	0.0740216
Beth	0.0738061
Sophie	0.073687
Pauline	0.0733189
Clara	0.0732372
Millie	0.0731386
Denise	0.0728938
Kimberly	0.0728936
Marilyn	0.0728117
David	0.0725601
Serena	0.0722199
Elena	0.0719885
"Mighty Joe Young"	0.0717928
Katherine	0.071652
Vicki	0.0715385
Janet	0.0713811
Sabrina	0.0712551
Tina	0.0710864
Patti	0.0709019
Lucia	0.0708665
Samantha	0.0705422
Heidi	0.0702661
Karenna	0.0702601
Mona	0.0701653
Stella	0.0700649
Jenny	0.0699532
Tipper	0.0696444
JonBenet	0.0694432
"Karenna Gore Schiff"	0.0694162
Hilary	0.0688519
Ethel	0.0684784
Sandra	0.0684588
Marian	0.0679644
"Caroline Kennedy Schlossberg"	0.0677458
Amanda	0.0672795
Meg	0.0672771
Marcia	0.0671272
Jessie	0.0671063
Renee	0.0668001
Shirley	0.0664161
Lucille	0.0663527
Brandi	0.066322
Erin	0.0660118
Christina	0.0653703
Cathy	0.0653496
Hadassah	0.0653023
Danielle	0.0652434
Jamie	0.0652198
"Fight Club"	0.0649859
Sheryl	0.0647922
Rhonda	0.0647467
Vera	0.0646921
Betty	0.0644914
Anastasia	0.0644587
Michael	0.0643195
"Double Jeopardy"	0.0642495
Jenna	0.0641996
Phyllis	0.0641238
Cherie	0.0640991
Molly	0.0640816
Robin	0.0640264
Thelma	0.0638775
Claudia	0.0637275
Natasha	0.0635331
Susie	0.0634451
Marianne	0.0631574
Bonnie	0.0628929
Olivia	0.0628691
becky	0.0624783
Frankenstein	0.0624259
Meredith	0.0623883
Nina	0.0622091
))
("Anna Karenina" (desc 1240.48) (sims
"King Lear"	0.0813592
"Ideal Husband"	0.0775605
"Swan Lake"	0.0759278
Frankenstein	0.0748374
"Don Quixote"	0.0744928
Macbeth	0.0742013
"American Psycho"	0.0733086
RealPlayer	0.0698536
"scarlet pimpernel"	0.0694922
"Great Expectations"	0.0675795
Antony	0.0672934
Trainspotting	0.0661178
"Streetcar Named Desire"	0.0634622
"Forrest Gump"	0.0631543
"True West"	0.0624821
"John Irving"	0.0620176
Dolittle	0.0606219
"Invisible Man"	0.0595122
IE	0.0593117
"Mod Squad"	0.0584896
"Wild Party"	0.0582216
Evita	0.0576974
Juliet	0.0576439
"UNIX operating system"	0.0562116
"Office @@"	0.0561083
"Hannibal Lecter"	0.0554043
"Tom Jones"	0.0552101
"Akira Kurosawa"	0.0548338
Footloose	0.053919
Nutcracker	0.0529483
"King Kong"	0.0528922
"Primary Colors"	0.0527057
Rashomon	0.0513664
"Christmas carol"	0.051196
Natasha	0.051117
"Bing Crosby"	0.0508132
"Wonderful World"	0.0498012
"Lahore Declaration"	0.0495636
"Elmore Leonard"	0.0494634
"Great Gatsby"	0.0488843
"bubonic plague"	0.0487461
"Star-Spangled Banner"	0.0481113
Medea	0.0480688
novella	0.0478719
"Peony Pavilion"	0.0475003
shrew	0.0463639
WordPerfect	0.0457188
"Lethal Weapon"	0.0455155
"Old South"	0.0454054
Moby-Dick	0.0452169
Tables	0.0445605
Romeo	0.0444392
"Sweeney Todd"	0.0444181
"Vladimir Nabokov"	0.0438513
"La Traviata"	0.0436867
"Amazing Grace"	0.0435541
"Natural Born Killers"	0.0430904
"sleeping beauty"	0.0427909
McNamara	0.0426877
obit	0.0426014
taming	0.0424707
Ulysses	0.0424631
Cleopatra	0.0422868
Aida	0.0421671
"musical chair"	0.0421158
"Red Violin"	0.0420088
Faust	0.0418778
"Home Run Derby"	0.0418076
"Night Fever"	0.0417802
"Iceman Cometh"	0.0413073
"Cider House"	0.041251
Othello	0.0411734
Taxol	0.0410001
CGI	0.0409389
Win@@	0.0407984
Crucible	0.0404506
"Princess Mononoke"	0.0401357
OED	0.0400537
))
("Anna Kournikova" (desc 12594.1) (sims
"Mary Pierce"	0.330037
"Monica Seles"	0.303738
"Arantxa Sanchez Vicario"	0.301708
"Patty Schnyder"	0.29727
"Arantxa Sanchez-Vicario"	0.295207
"Iva Majoli"	0.29079
"Lindsay Davenport"	0.28937
"Nathalie Tauziat"	0.289367
"Amanda Coetzer"	0.28835
"Jana Novotna"	0.286874
"Conchita Martinez"	0.285396
"Irina Spirlea"	0.280996
"Venus Williams"	0.280717
"Elena Likhovtseva"	0.273964
"Martina Hingis"	0.271533
"Natasha Zvereva"	0.271503
"Anke Huber"	0.270882
"Dominique Van Roost"	0.264452
"Serena Williams"	0.263006
"Sandrine Testud"	0.254893
"Amelie Mauresmo"	0.250279
"Mary Joe Fernandez"	0.248706
"Jennifer Capriati"	0.24846
"Chanda Rubin"	0.245019
"Steffi Graf"	0.243532
"Julie Halard-Decugis"	0.240314
"Elena Dementieva"	0.230556
"Tim Henman"	0.230436
"Marat Safin"	0.229615
"Yevgeny Kafelnikov"	0.228855
"Ai Sugiyama"	0.22738
"Barbara Schett"	0.222629
Kournikova	0.222016
"Lisa Raymond"	0.221547
"Mirjana Lucic"	0.217687
"Ruxandra Dragomir"	0.216381
"Richard Krajicek"	0.214073
"Goran Ivanisevic"	0.210919
"Tamarine Tanasugarn"	0.208767
"Yayuk Basuki"	0.208021
"Jonas Bjorkman"	0.201715
"Andre Agassi"	0.200241
"Felix Mantilla"	0.200044
"Wayne Ferreira"	0.198214
"Thomas Enqvist"	0.197185
"Jelena Dokic"	0.196189
"Thomas Muster"	0.195313
"Patrick Rafter"	0.195134
"Marc Rosset"	0.193663
"Marcelo Rios"	0.19354
"Albert Costa"	0.191771
"Thomas Johansson"	0.191048
"Tatiana Panova"	0.1904
"Cedric Pioline"	0.189105
"Carlos Moya"	0.18887
"Magdalena Maleeva"	0.188226
"Kimiko Date"	0.188073
"Jim Courier"	0.188029
"Gustavo Kuerten"	0.186906
"Alex Corretja"	0.186038
"Sabine Appelmans"	0.183483
"Alberto Berasategui"	0.182915
"Michael Chang"	0.182651
"Todd Woodbridge"	0.181353
"Tommy Haas"	0.181207
"Barbara Paulus"	0.181102
"Nicolas Kiefer"	0.179307
"Max Mirnyi"	0.178422
"Magnus Norman"	0.177474
"Greg Rusedski"	0.17707
"Magnus Gustafsson"	0.176325
"Nathalie Dechy"	0.175807
"Anne-Gaelle Sidot"	0.175613
"Boris Becker"	0.174478
"Mark Philippoussis"	0.174315
"Andrei Medvedev"	0.173191
"Sanchez Vicario"	0.172186
"Leander Paes"	0.17215
"Justin Gimelstob"	0.171089
"Arnaud Clement"	0.170893
"Younes El Aynaoui"	0.170096
Novotna	0.169496
"Karol Kucera"	0.169298
"Byron Black"	0.168462
"Todd Martin"	0.168391
"Dominik Hrbaty"	0.168191
"American Lindsay Davenport"	0.168159
Hingis	0.168038
"Alexandra Stevenson"	0.168011
"Mariano Puerta"	0.167909
"Alexandra Fusai"	0.167037
"Corina Morariu"	0.165316
"Carlos Costa"	0.164783
"Francisco Clavet"	0.164746
"Silvia Farina"	0.16388
"Pete Sampras"	0.163342
"Jason Stoltenberg"	0.162419
"Nicolas Escude"	0.160904
"Roger Federer"	0.160699
"Mark Woodforde"	0.160424
"Magui Serna"	0.160031
Davenport	0.159876
"Jerome Golmard"	0.159775
"Paul Haarhuis"	0.159664
"Judith Wiesner"	0.159522
"Guillaume Raoux"	0.159264
"Scott Draper"	0.159093
"Richard Fromberg"	0.158132
"Sargis Sargsian"	0.157567
"Albert Portas"	0.157156
"Australian Mark Philippoussis"	0.157102
"Sergi Bruguera"	0.155642
"Hernan Gumy"	0.15564
"Fabrice Santoro"	0.15522
"Amy Frazier"	0.154592
"Kimberly Po"	0.153797
"Li Fang"	0.153767
"Andrea Gaudenzi"	0.153676
"Kenneth Carlsen"	0.153054
"Nicolas Lapentti"	0.153023
Seles	0.152204
"Jan-Michael Gambill"	0.152178
"Daniel Nestor"	0.151823
"Olga Barabanschikova"	0.151546
"Alberto Costa"	0.151385
Halard-Decugis	0.150573
"Karim Alami"	0.149474
"Cara Black"	0.149332
"Franco Squillari"	0.149258
"Brenda Schultz-McCarthy"	0.14901
"Mahesh Bhupathi"	0.148634
"Florencia Labat"	0.148254
"Galo Blanco"	0.14813
Coetzer	0.146962
"Petr Korda"	0.146918
"Ramon Delgado"	0.146726
"Vincent Spadea"	0.146503
"MaliVai Washington"	0.146383
"Lleyton Hewitt"	0.146379
"Arnaud Di Pasquale"	0.146199
"Javier Sanchez"	0.146077
"Jeff Tarango"	0.145465
"Karina Habsudova"	0.144676
Sanchez-Vicario	0.144446
"Miriam Oremans"	0.143528
"Andreas Vinciguerra"	0.143489
"American Todd Martin"	0.143329
"Adrian Voinea"	0.143147
Kafelnikov	0.142828
"Mark Knowles"	0.14265
"Andrei Pavel"	0.142491
"Sebastien Grosjean"	0.141176
"Sarah Pitkowski"	0.141119
"Brett Steven"	0.140803
"Naoko Sawamatsu"	0.140679
"David Prinosil"	0.1405
"Mariano Zabaleta"	0.140079
"Anne Kremer"	0.140042
Henman	0.139603
"Barbara Rittner"	0.139553
"Hicham Arazi"	0.139478
"Christian Ruud"	0.138873
Siemerink	0.138868
"Davide Sanguinetti"	0.138827
"Magnus Larsson"	0.138036
Capriati	0.137415
"Joannette Kruger"	0.136955
"American Chanda Rubin"	0.135734
"Pat Rafter"	0.135444
"Wayne Black"	0.135153
"Sebastien Lareau"	0.134331
Majoli	0.133064
"Filip Dewulf"	0.132346
"Arnaud Boetsch"	0.132113
"Henrieta Nagyova"	0.132067
"Andrew Ilie"	0.13194
"Nicole Pratt"	0.131758
"Grant Stafford"	0.131325
Corretja	0.131073
Testud	0.130193
"Xavier Malisse"	0.130093
Moya	0.129699
Mauresmo	0.129497
"South African Amanda Coetzer"	0.129309
"Rainer Schuttler"	0.129118
"Chris Woodruff"	0.128551
Serena	0.128164
Sugiyama	0.128125
Agassi	0.128032
"Fernando Meligeni"	0.127695
Kuerten	0.127586
"Bohdan Ulihrach"	0.12724
"Nicklas Kulti"	0.126909
"Sjeng Schalken"	0.126832
"Gianluca Pozzi"	0.126427
"Mikael Tillstrom"	0.126249
Swardt	0.125505
Rusedski	0.125412
"Paola Suarez"	0.125071
Zvereva	0.124091
"Kim Clijsters"	0.123947
"Juan Antonio Marin"	0.123644
"Juan Carlos Ferrero"	0.123502
"Richey Reneberg"	0.123331
"Slava Dosedel"	0.122905
"Julian Alonso"	0.122743
Kucera	0.122014
"Marcelo Filippini"	0.121555
Enqvist	0.120287
"Stefan Edberg"	0.120152
"Helena Sukova"	0.119923
"Michael Stich"	0.119771
Huber	0.119448
"Tara Snyder"	0.119306
"Rita Grande"	0.118835
"Vince Spadea"	0.117576
"Kristie Boogert"	0.117229
"Alex O'Brien"	0.116181
Mantilla	0.114359
"Asa Carlsson"	0.114351
"Lori McNeil"	0.114101
"Van Roost"	0.113677
Tauziat	0.113648
Pioline	0.113086
Pierce	0.112897
"Daniel Vacek"	0.112676
"Martina Navratilova"	0.111885
"Renzo Furlan"	0.111051
"Michael Tebbutt"	0.110735
"Martin Damm"	0.109641
"Neville Godwin"	0.109546
Berasategui	0.108851
Sampras	0.10866
Ivanisevic	0.108156
Schnyder	0.107371
"Guy Forget"	0.10707
Stoltenberg	0.106381
rios	0.105399
"Jacco Eltingh"	0.105094
"Russian Yevgeny Kafelnikov"	0.104423
"Jiri Novak"	0.104415
Safin	0.103963
"Catalina Cristea"	0.103819
Bjorkman	0.103745
Kroslak	0.103146
"Peter Nicol"	0.1027
"Els Callens"	0.102437
"Steve Campbell"	0.102333
Dragomir	0.102229
"Mia Audina"	0.102063
Philippoussis	0.102052
"Jonathan Stark"	0.101616
"Denisa Chladkova"	0.101324
Krajicek	0.10088
"Wang Liqin"	0.100607
))
("Anna Paquin" (desc 2741.79) (sims
"Robin Wright Penn"	0.170701
"Famke Janssen"	0.121998
"Diane Keaton"	0.0996706
"Lisa Kudrow"	0.0878423
"Helen Mirren"	0.069965
"Danny Glover"	0.0666231
"Dennis Quaid"	0.0664739
"Andre Braugher"	0.0569836
"Kevin Spacey"	0.0565178
"Nicolas Cage"	0.0551282
"Sean Penn"	0.0524601
genealogist	0.0495615
"Elisabeth Shue"	0.0489477
"Oliver Platt"	0.0487604
"Omar Epps"	0.0485748
"Danny DeVito"	0.0478752
"Mary Elizabeth Mastrantonio"	0.0476781
"Halle Berry"	0.0475088
"Meg Ryan"	0.0463387
"Kevin Costner"	0.0458426
"Martin Short"	0.045733
"Brendan Fraser"	0.0455436
"Garry Shandling"	0.0430666
"Liev Schreiber"	0.0421591
Debbie	0.0416717
"Steve Zahn"	0.0414243
"Sigourney Weaver"	0.0411986
Ita	0.0402478
"Heather Locklear"	0.0402237
))
(annals (desc 9232.84) (sims
Lancet	0.151826
"New England Journal"	0.134177
"American Journal"	0.129135
"New York Review"	0.0856059
lore	0.0766299
neurology	0.074363
history.	0.067364
JAMA	0.0669784
"Washington Times"	0.0647811
Encyclopedia	0.0637008
"assistant professor"	0.0633349
axiom	0.0630424
journal	0.0624161
"Sydney Morning Herald"	0.0617775
"associate professor"	0.0613815
almanac	0.061066
Pantheon	0.0581833
"Le Figaro"	0.0580216
"blink of an eye"	0.0546622
"roll call"	0.0540856
"new edition"	0.0526964
"New York Times Magazine"	0.0521548
"Village Voice"	0.0515999
"International Herald Tribune"	0.0510621
"Atlantic Monthly"	0.0508723
gazette	0.0508635
"Guangming Daily"	0.050828
"Daily Telegraph"	0.0507457
"South China Morning Post"	0.0506257
"Financial Times"	0.0505989
Lexicon	0.0490002
"Le Monde"	0.0488445
"modern times"	0.0482575
"USA TODAY"	0.047884
vicissitude	0.0478627
"New Straits Times"	0.0478048
"New York Post"	0.0475802
Reforma	0.0475715
"Der Spiegel"	0.0474785
"Guinness Book"	0.0460302
Haaretz	0.0456365
"Advertising Age"	0.0455478
"Consumer Reports"	0.0454937
Anthology	0.0452768
"crown jewels"	0.0452397
Echelon	0.0450758
"Koha Ditore"	0.0450246
"New York Observer"	0.0449515
chronicler	0.0446106
Pediatrics	0.043751
"Dallas Morning News"	0.0437009
"New Republic"	0.0431492
"TV guide"	0.0428172
yearbook	0.0424777
Esquire	0.0423281
"New York Times Book Review"	0.0422307
redefinition	0.0421966
making	0.0420424
"Philadelphia Inquirer"	0.0417627
greats	0.0416008
"pecking order"	0.0414405
"Daily Mail"	0.041286
furtherance	0.0411012
bulletin	0.0409205
diary	0.0408096
Star-Ledger	0.0407433
"Golden Age"	0.0407299
Crucible	0.0406987
Granma	0.040456
"Sports Illustrated"	0.0404437
infamy	0.0403951
vernacular	0.0400249
))
(Annan (desc 40479.9) (sims
"Kofi Annan"	0.336246
Albright	0.208325
Mubarak	0.195782
Mandela	0.195399
Chirac	0.19048
Aziz	0.187106
Arafat	0.184112
Barak	0.182073
Cohen	0.171239
Mbeki	0.168405
Blair	0.168168
Primakov	0.164614
Secretary-General	0.16413
Qian	0.163996
Yeltsin	0.162376
Tung	0.161566
Jiang	0.159474
Moi	0.159242
"Ehud Barak"	0.15798
Netanyahu	0.157227
Solana	0.156798
Chernomyrdin	0.156267
Holbrooke	0.156243
Zhu	0.156199
Putin	0.154364
Clerides	0.153854
"Javier Solana"	0.15351
Vajpayee	0.152794
Kharrazi	0.151773
Ivanov	0.150848
"William Cohen"	0.149963
Sharif	0.149397
Wahid	0.148476
Mugabe	0.14792
"secretary of state"	0.147557
Demirel	0.146688
"Tony Blair"	0.146133
Obuchi	0.145183
Moussa	0.145172
"Nawaz Sharif"	0.142873
Goh	0.141752
envoy	0.14064
Kinkel	0.140126
Chretien	0.139609
Clinton	0.139321
Chiluba	0.139319
"Benjamin Netanyahu"	0.139113
"Atal Bihari Vajpayee"	0.138979
Schroeder	0.138872
Talbott	0.138643
Velayati	0.137842
Estrada	0.137721
Museveni	0.137298
Jospin	0.137252
Hashimoto	0.136112
Khatami	0.134928
"King Hussein"	0.133697
Mahathir	0.131823
"Chuan Leekpai"	0.131771
"foreign minister"	0.131641
Hasina	0.131143
Ecevit	0.131048
Nujoma	0.130478
Cem	0.129884
Prodi	0.129495
Komura	0.129172
Chuan	0.128973
Vedrine	0.128875
Ramos	0.128818
Abubakar	0.128626
Mkapa	0.128166
Pangalos	0.127883
al-Assad	0.127256
"Keizo Obuchi"	0.127093
"Binyamin Netanyahu"	0.1263
Zedillo	0.125439
al-Sahhaf	0.125024
"Yevgeny Primakov"	0.124943
Kuchma	0.124317
Tsang	0.124259
Peres	0.123891
"Security Council"	0.123822
Nazarbayev	0.123812
minister	0.123776
"President Kim Dae-jung"	0.123445
Denktash	0.123259
Gujral	0.123028
"Arab League"	0.123
"Richard Butler"	0.1225
President	0.121755
al-Sharaa	0.121739
Chissano	0.121456
Sergeyev	0.121382
Butler	0.121301
Premier	0.120981
Khamenei	0.120855
"Pope John Paul II"	0.120777
U.N.	0.120608
Li	0.120202
Qiao	0.120066
Dini	0.119797
Ahtisaari	0.119642
"Hun Sen"	0.118999
"de Charette"	0.118363
Abdullah	0.11816
Menem	0.11803
Lahoud	0.117896
Assad	0.117595
Lukashenko	0.117383
Nzo	0.116993
Weizman	0.116767
Rugova	0.116412
Kabila	0.115728
Samaranch	0.115705
Rifkind	0.115626
"Ryutaro Hashimoto"	0.114871
Phieu	0.114769
Habibie	0.114305
"Secretary-General Boutros Boutros-Ghali"	0.113844
Axworthy	0.113693
Aznar	0.113561
Gadhafi	0.113254
Ogata	0.113044
Lott	0.113039
Fischer	0.113004
Ross	0.112405
Zou	0.112325
Hu	0.11224
Brahimi	0.112001
pope	0.111922
Boutros-Ghali	0.11187
Chancellor	0.11166
Ambassador	0.111579
Milosevic	0.111277
Ikeda	0.111167
Simitis	0.111007
Pastrana	0.110998
Kohl	0.110598
Moratinos	0.110478
"Salim Ahmed Salim"	0.110437
tang	0.110074
Kiriyenko	0.109341
"Tariq Aziz"	0.109338
Shi	0.109308
"Lionel Jospin"	0.109104
Gaddafi	0.109048
Wolfensohn	0.10866
Alatas	0.108632
"Mahathir Mohamad"	0.108566
Salim	0.108435
"U.S. State Department"	0.107643
Pataki	0.107482
Kim	0.107139
D'Alema	0.106675
"Phan Van Khai"	0.106619
Abdel-Meguid	0.106568
Camdessus	0.106547
Khai	0.106396
Stoyanov	0.105949
Scalfaro	0.105929
"King Fahd"	0.105336
"King Norodom Sihanouk"	0.105285
Reno	0.104978
Saleh	0.104914
Stepashin	0.104803
chief	0.104348
Meles	0.104177
Siazon	0.104156
delegation	0.103783
McCaffrey	0.103561
Council	0.103506
Ahern	0.103385
Mordechai	0.103312
perry	0.102851
OAU	0.102839
"Jiang Zemin"	0.102798
leader	0.10268
Jayakumar	0.10263
Constantinescu	0.102586
"Than Shwe"	0.102569
"Atal Behari Vajpayee"	0.102418
"head of state"	0.102374
"United Nations"	0.102348
Hastert	0.101792
"Jean Chretien"	0.101537
Chavalit	0.101439
"Yasser Arafat"	0.101318
"Sheikh Hasina"	0.101033
"Viktor Chernomyrdin"	0.100978
"Inder Kumar Gujral"	0.100902
Rubin	0.100877
Trimble	0.10079
"Li Peng"	0.10068
Lebed	0.100604
Daley	0.100203
Richardson	0.100106
Obasanjo	0.0999331
"Goh Chok Tong"	0.099896
Guterres	0.0998754
Hyde	0.0997393
))
(Annapolis (desc 4725.17) (sims
"Silver Spring"	0.152121
"naval academy"	0.106651
Rockville	0.1032
Bethesda	0.0972223
"Palm Beach Gardens"	0.0884126
"College Park"	0.0865792
Riverdale	0.0836519
Kensington	0.0833966
"Newport Beach"	0.0832785
Wheaton	0.0813645
Aberdeen	0.0806344
Potomac	0.0805264
Easton	0.079658
Charleston	0.0793261
Brentwood	0.0792181
"Jersey City"	0.0787198
Raleigh	0.0779519
"Ocean City"	0.0755342
Englewood	0.0740442
"Chevy Chase"	0.0739742
Auckland	0.0738972
"Fort Lauderdale"	0.0724234
Reseda	0.0710271
Georgetown	0.07002
"Overland Park"	0.0694083
Braintree	0.0692871
Vilnius	0.0688282
Guadalajara	0.0678415
Alpharetta	0.0673536
Poughkeepsie	0.0670721
ASHEVILLE	0.0669992
"Hollywood Hills"	0.0669056
Scottsdale	0.0664755
Asuncion	0.0663369
Missoula	0.066164
"East Orange"	0.0660672
"Thousand Oaks"	0.0655624
Redding	0.0647997
TRENTON	0.0647419
"Brooklyn Heights"	0.0644368
Fayetteville	0.0644063
"Santo Domingo"	0.0643231
Lucknow	0.0642213
Encino	0.0638941
Port-au-Prince	0.0638351
Bridgehampton	0.0635906
Plymouth	0.0634738
"Boca Raton"	0.0633391
MINEOLA	0.0632331
TALLAHASSEE	0.0629403
Fremantle	0.0619317
"Cape Town"	0.06188
Helena	0.0617813
Westport	0.0617454
Frederick	0.0617169
Montclair	0.0614836
Wellesley	0.0613223
"Mill Valley"	0.061066
"Walnut Creek"	0.0610538
LAKEWOOD	0.0610132
Eureka	0.0609649
"Chapel Hill"	0.0609447
Cumberland	0.060896
Chatham	0.060857
"Santa Monica"	0.0607868
Danville	0.060774
Falmouth	0.0606769
"West Point"	0.0606741
"Fort Lee"	0.0605352
"Simi Valley"	0.0605157
Wilmington	0.0604865
Medford	0.060423
Dushanbe	0.0603795
"Delray Beach"	0.0601111
Camden	0.0599817
Claremont	0.0598091
"White Plains"	0.059758
"South Bend"	0.0597299
Spokane	0.0595459
Albuquerque	0.0594701
Greenwich	0.059332
"Des Moines"	0.0593046
Honolulu	0.0592421
TEGUCIGALPA	0.059227
Fredericksburg	0.059122
Amherst	0.0590545
Norwich	0.059002
Middletown	0.0589698
"Pacific Palisades"	0.058934
Macon	0.0588464
Berkeley	0.058751
"Montgomery County"	0.0587355
Soweto	0.0586941
Huntsville	0.0586898
Leawood	0.0586131
Newark	0.0584304
"New Haven"	0.0583883
Tampa	0.0583314
Omaha	0.0583052
"West Palm Beach"	0.058076
Oxnard	0.057796
"New Rochelle"	0.0577816
Greenville	0.0577515
Carthage	0.0577369
Albany	0.0576452
Gainesville	0.0575769
"Paradise Valley"	0.057571
"Little Rock"	0.0575483
"Woodland Hills"	0.0575415
"Bel Air"	0.0575145
"Saratoga Springs"	0.0574857
Calabasas	0.0574742
Chatsworth	0.0573937
Pasadena	0.0573798
Salisbury	0.0567891
"Coral Gables"	0.0567786
Tempe	0.0564312
Sarasota	0.0562773
"Lake Worth"	0.0562692
Springfield	0.0560391
Minneapolis	0.0560267
Srinagar	0.0558123
Yonkers	0.0556874
Cambridge	0.0555962
"Marin County"	0.0555684
"Boynton Beach"	0.0555569
Malibu	0.05551
"Mount Vernon"	0.0554593
"La Paz"	0.0554255
Decatur	0.0553939
Arlington	0.0553363
"La Jolla"	0.0552734
Williamstown	0.0552558
"Palo Alto"	0.0552514
Suva	0.0551965
"Guatemala City"	0.0551752
anchorage	0.0550554
Bangor	0.0548395
Burlington	0.0547107
Lubbock	0.0546831
"Santa Fe"	0.0546781
"Ann Arbor"	0.0546739
BOGOTA	0.0546022
Tallinn	0.0545828
Kingston	0.0544867
Sausalito	0.0542119
"Greenwich Village"	0.0540964
Westfield	0.0540363
Olympia	0.053998
Flagstaff	0.0539948
Chisinau	0.0536994
Pensacola	0.0536473
Needham	0.0534726
Savannah	0.0533682
"Vero Beach"	0.053343
Columbus	0.05333
Hartford	0.0532153
"East Hampton"	0.053192
Roanoke	0.0531656
BRIGHTON	0.0530827
Elmira	0.0530617
Duluth	0.0530063
Memphis	0.052808
"San Juan"	0.0527003
Concord	0.0525492
Reykjavik	0.0523481
"Harvard Business School"	0.0521284
artsy	0.0521162
"Santa Cruz"	0.0520884
Derry	0.0520579
Rochester	0.052045
Stamford	0.0519202
Tucson	0.0518801
"Sherman Oaks"	0.0517556
KIEV	0.0517235
Princeton	0.0516195
"Wichita Falls"	0.0515765
"Santa Barbara"	0.0515757
Hanover	0.0514795
"Gaza City"	0.0513611
"New Canaan"	0.0513298
Southampton	0.0511839
"Van Nuys"	0.0510923
Edinburgh	0.051061
Ensenada	0.0509799
Buckhead	0.0508694
Maseru	0.0508549
"Phi Beta Kappa"	0.0508374
Texarkana	0.0508017
Oxford	0.0507825
"Key West"	0.0507019
"Mission Viejo"	0.0506589
Richmond	0.0504554
"Studio City"	0.0504174
Charlottesville	0.0503998
Dunwoody	0.0503773
"St. Albans"	0.0503609
"Yale Law School"	0.050246
Lansing	0.0501609
"Twin Cities"	0.0501448
))
(Anne (desc 9809.08) (sims
Eileen	0.15625
Patricia	0.127937
Kristin	0.114646
Diane	0.112535
Ellen	0.111714
ANN	0.11158
Jacqueline	0.110983
Christine	0.106987
Evelyn	0.10573
Betty	0.104465
Melanie	0.104398
Doris	0.104341
Edith	0.101368
Olga	0.100917
Brenda	0.10072
Alexandra	0.100455
Jeanne	0.100306
Margaret	0.100287
Julie	0.10026
Kathleen	0.0988706
Lynne	0.0979061
Lori	0.0964969
Lois	0.0964964
alicia	0.0963114
Marlene	0.096195
Beatrice	0.0961254
Susan	0.095618
JoAnne	0.0954253
Tracey	0.0952551
Josephine	0.0949306
Catherine	0.0948121
Christina	0.0947383
Sylvia	0.0943388
Pam	0.0942201
Beverly	0.0942076
Barbara	0.0935575
Cherie	0.0934748
Valerie	0.0933309
Irina	0.0930982
Judy	0.0925654
Caroline	0.0918984
Nancy	0.0915438
Nicole	0.0914228
Peggy	0.0908956
Rachel	0.0908036
Maureen	0.0905784
Erica	0.0903573
Sophie	0.0902131
Lisa	0.0899528
Dorothy	0.0898839
Sonia	0.0895421
Laura	0.0894432
colleen	0.0894204
Elizabeth	0.0891866
Katherine	0.0887932
Connie	0.0887602
hazel	0.0881223
Carolyn	0.0880794
Elena	0.0880394
Annie	0.0877611
Judith	0.0875266
Lydia	0.0871259
gloria	0.0869933
Jessica	0.0869706
Debbie	0.0868036
Cheryl	0.0866121
Kathy	0.0866025
Ashley	0.0862866
Cathy	0.0853622
Denise	0.0850882
Mary	0.0850057
Jenny	0.0849959
Beth	0.0849493
Kate	0.0846611
Stephanie	0.0846556
anna	0.0840542
Rita	0.0838665
Jennifer	0.0837658
Juanita	0.083356
Marie	0.0833446
Maria	0.0832642
Martha	0.0831168
Cindy	0.0829953
Pamela	0.0828979
Pauline	0.0828676
Vicki	0.0827156
"Karenna Gore Schiff"	0.0825993
Janet	0.082569
Deborah	0.0823043
Eleanor	0.0822795
Julia	0.0822416
Marianne	0.0822125
Agnes	0.0821288
Jill	0.0817385
Michele	0.0815984
Polly	0.0814605
Sarah	0.0809756
Rebecca	0.0809708
Karenna	0.080942
Linda	0.0801922
Michelle	0.0800381
Gertrude	0.0799467
Audrey	0.0797868
Kathryn	0.07978
Suzanne	0.0797545
Brooke	0.0792986
Marguerite	0.0791986
Angela	0.0791388
Robin	0.0789804
Miriam	0.0788262
Millie	0.078756
"Patsy Ramsey"	0.0787262
Phyllis	0.0778569
"Anne Frank"	0.0777728
Esther	0.0771098
Karen	0.0770653
heather	0.0768109
Theresa	0.0762533
Shirley	0.0761339
Teresa	0.0760062
Diana	0.0759317
"Graca Machel"	0.0755595
Sheryl	0.0755491
Shannon	0.0754341
Emily	0.0753832
Rhonda	0.0752555
Klemperer	0.0749653
Meg	0.074893
Mona	0.0747794
Betsy	0.0746409
Clara	0.0745082
Leah	0.0742382
Kimberly	0.073871
Irene	0.0734396
Carol	0.0733738
Marcia	0.0732074
Monique	0.0732059
Elaine	0.0731026
Nora	0.073076
"Azizah Ismail"	0.0729536
Carrie	0.0729022
Cynthia	0.0725604
Liz	0.0722604
Camille	0.0722373
Frances	0.0720983
Natalie	0.0719466
"Carolyn Bessette Kennedy"	0.0719081
Hannah	0.0718547
Donna	0.0717324
Andrea	0.0716307
Lucille	0.0710872
Jamie	0.0709701
Jane	0.0706538
Gail	0.0705453
Sandra	0.0702328
Terri	0.0700759
Claudia	0.069493
Stella	0.0692964
becky	0.0691801
Marian	0.0689423
Jackie	0.0688109
Lucy	0.0687169
Marta	0.0684681
Louise	0.0684647
Tina	0.0682809
Jenna	0.0680508
Helen	0.0677065
Marilyn	0.0673513
Amy	0.0672624
Alice	0.0670645
Dora	0.0669814
sandy	0.0668708
Laurie	0.0667205
Amanda	0.0663909
Emma	0.0663445
Kay	0.0662606
Bessie	0.0660934
Hadassah	0.0660605
Jessie	0.0659862
Sara	0.0657601
Colette	0.0654015
Tipper	0.0653545
Melinda	0.0653524
Olivia	0.0651736
Debra	0.065076
"Caroline Kennedy Schlossberg"	0.0641087
Renee	0.0640896
Lynn	0.0640866
Sheila	0.0640049
Roberta	0.0638493
Sally	0.0637594
Joan	0.0637346
Sadie	0.0630078
Nikki	0.0630074
Samantha	0.0627985
John	0.062757
Erin	0.0627554
Meredith	0.0627444
Dolores	0.0625393
Lucia	0.0625279
))
("Anne Bancroft" (desc 1356.05) (sims
"Jon Voight"	0.145291
"Robert DeNiro"	0.102658
"Morgan Freeman"	0.0988345
"Gene Hackman"	0.0987931
"Faye Dunaway"	0.0955429
"Sigourney Weaver"	0.0949468
"Glenn Close"	0.0939031
"Christopher Walken"	0.0890094
"Woody Harrelson"	0.0855282
"Brendan Fraser"	0.0839717
Deneuve	0.0830292
"Sylvester Stallone"	0.0813034
"Dennis Hopper"	0.0800959
"Wesley Snipes"	0.0792437
"Vanessa Redgrave"	0.0784792
"Jeff Goldblum"	0.0760293
"Jennifer Lopez"	0.0749147
"Mel Gibson"	0.0748943
"Susan Sarandon"	0.0729569
"Oprah Winfrey"	0.0699273
"Thandie Newton"	0.0684581
"Meryl Streep"	0.0680982
"Christian Slater"	0.0673438
"Uma Thurman"	0.0657829
"John Belushi"	0.0653418
"Michael Douglas"	0.065254
"Joan Allen"	0.064464
"Nick Nolte"	0.063535
"John Travolta"	0.0634981
"Michelle Pfeiffer"	0.0621079
"William Hurt"	0.0615209
"Robert Redford"	0.0611051
"Harvey Keitel"	0.0591156
"Harry Belafonte"	0.0586522
"Jack Nicholson"	0.0585635
"Burt Lancaster"	0.0579466
"Sharon Stone"	0.0577126
Redford	0.057282
"Goldie Hawn"	0.054527
"Tracey Ullman"	0.0543802
"Robert de Niro"	0.0542021
"Rene Russo"	0.0538053
"James Earl Jones"	0.0535263
"George Clooney"	0.0535185
"Arnold Schwarzenegger"	0.0531887
"Keanu Reeves"	0.0530934
"Willem Dafoe"	0.0524514
"John Goodman"	0.0515871
"Sean Connery"	0.0507214
"Jimmy Smits"	0.0498829
"Denzel Washington"	0.0495303
"AL PACINO"	0.0493085
"Lauren Bacall"	0.0484158
"Kevin Spacey"	0.0478224
"Samuel L. Jackson"	0.0477558
"Jack Lemmon"	0.047472
"Billy Crystal"	0.0474027
"Meg Ryan"	0.0472159
"Nicolas Cage"	0.0469544
"Sidney Poitier"	0.0459233
"Brigitte Bardot"	0.0455186
"Joseph Fiennes"	0.0452123
"Dustin Hoffman"	0.0451248
"Sean Penn"	0.0450284
"Emily Watson"	0.0442647
"Matthew McConaughey"	0.0441095
"Will Smith"	0.0438374
"Kim Basinger"	0.0437629
"Don Juan"	0.0434823
"Val Kilmer"	0.0434727
Reiner	0.0432806
"Edie Falco"	0.04324
"Clint Eastwood"	0.0430629
"Catherine Deneuve"	0.042776
"Kelsey Grammer"	0.0427513
"Donald Sutherland"	0.0423344
"Kevin Costner"	0.0422823
"Warren Beatty"	0.042205
"Liza Minnelli"	0.0422039
"Matt Dillon"	0.042153
"Sissy Spacek"	0.0420099
"Christopher Plummer"	0.0413073
"Janeane Garofalo"	0.0410994
"James Caan"	0.0408896
"Helen Mirren"	0.0406276
"Ed Harris"	0.0406154
"Maggie Smith"	0.0404452
"Brad Pitt"	0.0403809
))
("Anne Frank" (desc 2599.91) (sims
"Adolf Eichmann"	0.117486
Nijinsky	0.11439
Klemperer	0.108448
Rabe	0.0904904
Eichmann	0.0857734
Lindbergh	0.0806237
Spock	0.0799689
Anne	0.0777728
"Emily Dickinson"	0.0773218
"Madalyn Murray O'Hair"	0.0677166
Edson	0.0675083
"Malcolm X"	0.0674504
"Georgia O'Keeffe"	0.0655923
chambermaid	0.0638953
RFK	0.0582069
Beauvoir	0.0556491
Fahey	0.0545673
"Theodore Roosevelt"	0.0542374
"Edgar Allan Poe"	0.0535389
pre	0.0532939
"Caroline Kennedy"	0.0531154
"American Century"	0.0528329
"Willie Horton"	0.0525729
"Queen Victoria"	0.0518865
"Mother Teresa"	0.051572
"Martha Moxley"	0.0512755
Hoddle	0.0512241
Carruth	0.0503338
"Zhou Enlai"	0.0503325
Lo	0.050292
"van Gogh"	0.0502175
"Martin Luther King Jr."	0.0495733
Gonzales	0.0495007
Sadie	0.049497
Eameses	0.0493975
"Jackson Pollock"	0.0488593
Caruso	0.0488251
Kodikian	0.048735
"Vincent van Gogh"	0.0487028
Kerouac	0.0482938
Raduyev	0.0477709
"shooting star"	0.0476214
Melville	0.0470313
Biggs	0.0468372
Selena	0.0463962
Xanana	0.0461449
Kimes	0.0460221
Hickey	0.0458171
"Sylvia Plath"	0.045737
"American Dream"	0.0452158
"Don Quixote"	0.045009
Bridget	0.0447373
Freud	0.0444958
Jeanne	0.0443404
Braveheart	0.0443386
Barrie	0.0439809
Agnes	0.043695
Stroganoff	0.0436768
Sargent	0.0435245
Corcoran	0.0435143
Sacagawea	0.0430531
bridegroom	0.0428913
"Cole Porter"	0.0427443
"King Lear"	0.0427271
Gurule	0.0423796
"MLS Cup"	0.0422451
"Gore Vidal"	0.0421124
Monet	0.0419799
"Music Man"	0.0417191
"Mao Zedong"	0.0413851
"Opium War"	0.041352
Calder	0.0409848
"Harry Potter"	0.0409723
Frankenstein	0.0409704
rainmaker	0.0409531
"James Joyce"	0.0407995
Truman	0.0406258
"Norman Rockwell"	0.040358
Thoreau	0.0402165
))
("Anne Heche" (desc 3872.68) (sims
"Michelle Pfeiffer"	0.141333
"Michael Douglas"	0.130296
"Tom Selleck"	0.117143
"Vanessa Redgrave"	0.114124
"Janet McTeer"	0.111702
"Joaquin Phoenix"	0.106292
"Glenn Close"	0.104595
"Jennifer Lopez"	0.102777
"Richard Gere"	0.100504
"Sharon Stone"	0.0993427
"Faye Dunaway"	0.0924502
"Woody Harrelson"	0.0922218
"Brad Pitt"	0.0907514
"Ashley Judd"	0.0902836
"Matthew McConaughey"	0.0897892
"Gwyneth Paltrow"	0.0893104
"Uma Thurman"	0.0883955
"Jim Carrey"	0.0877638
"Rupert Everett"	0.0858674
"Jodie Foster"	0.0851929
"Paul Newman"	0.0846562
"Catherine Deneuve"	0.083849
"Gene Hackman"	0.0824945
"Melanie Griffith"	0.0821826
"Tom Cruise"	0.0818479
"Sally Field"	0.0818449
"Lauren Bacall"	0.0815395
"Chloe Sevigny"	0.0804076
"Brooke Shields"	0.0795737
"Kathy Bates"	0.0789682
"Claire Danes"	0.0789069
"Kevin Costner"	0.078234
"Angela Bassett"	0.077484
"Jack Nicholson"	0.0774216
"Emily Watson"	0.0770645
"Julia Roberts"	0.0769423
"Cate Blanchett"	0.0767239
"Jeff Bridges"	0.0766505
"Geena Davis"	0.076552
"Jennifer Love Hewitt"	0.0765307
"Sigourney Weaver"	0.0763932
"Elizabeth Hurley"	0.0760944
"Susan Sarandon"	0.07582
"Annette Bening"	0.0755124
"Hilary Swank"	0.0750366
"Kim Basinger"	0.0741344
"Ralph Fiennes"	0.073446
"Salma Hayek"	0.0730328
"Harrison Ford"	0.0727468
"Sean Connery"	0.0726646
Heche	0.0724433
"Meryl Streep"	0.072141
Chevys	0.0720679
"Minnie Driver"	0.0720028
"Robert Redford"	0.0716925
"Rob Reiner"	0.071016
"Clint Eastwood"	0.0709348
"Billy Crudup"	0.0708995
"Norm MacDonald"	0.070756
"Kirk Douglas"	0.0705791
"Pierce Brosnan"	0.0704575
"Val Kilmer"	0.0704466
"Robert de Niro"	0.0703006
"Helen Hunt"	0.0699758
"Ally Sheedy"	0.0696292
"Jamie Lee Curtis"	0.0681344
"Kevin Kline"	0.0680635
"Drew Barrymore"	0.0678014
"Natasha Richardson"	0.0677102
"Ed Harris"	0.0675051
"Russell Crowe"	0.0672309
"Denzel Washington"	0.0661595
"John Cusack"	0.0655888
"David Duchovny"	0.0653793
"Jeremy Northam"	0.0648196
"Kirsten Dunst"	0.0647769
"John Travolta"	0.0646518
"Joseph Fiennes"	0.0646417
"Warren Beatty"	0.0641881
"James Caan"	0.063567
"Winona Ryder"	0.0632397
"Geoffrey Rush"	0.0625091
"Julianne Moore"	0.0623165
"Richard Dreyfuss"	0.0622696
"Jane Fonda"	0.0611663
"Samuel L. Jackson"	0.0610928
"Alicia Silverstone"	0.0608129
"Vivien Leigh"	0.0605225
"Sean Penn"	0.0598439
"Camryn Manheim"	0.0597422
"Liev Schreiber"	0.0596855
"Nicolas Cage"	0.0596411
"Kate Winslet"	0.0595271
"William H. Macy"	0.0595107
"Meg Ryan"	0.0592449
"Carmen Electra"	0.0588284
"Jenna Elfman"	0.0585992
"Mel Gibson"	0.0584335
"Vince Vaughn"	0.0580749
"Michael Caine"	0.0580749
"Dan Hedaya"	0.0577635
"Penelope Cruz"	0.0576898
swinger	0.0576313
"Jeremy Irons"	0.0564428
"Dustin Hoffman"	0.0560407
"Billy Bob Thornton"	0.0558812
"Edward Norton"	0.0556407
"Martin Lawrence"	0.0551882
"Chevy Chase"	0.0549057
"Harvey Keitel"	0.0548859
"Chris Rock"	0.0547277
"Marlene Dietrich"	0.0546371
"Halle Berry"	0.0546089
"Reese Witherspoon"	0.054553
"Jennifer Aniston"	0.0544825
"Leelee Sobieski"	0.0542953
"Tina Brown"	0.0540997
"Barbra Streisand"	0.053632
"Chow Yun-Fat"	0.0535759
"Johnny Depp"	0.0535335
"Gregory Peck"	0.0534232
"Kevin Spacey"	0.0530247
"Liv Tyler"	0.0528573
"Aidan Quinn"	0.0524615
"Tom Hanks"	0.0523786
"Rob Lowe"	0.0522722
"Mia Farrow"	0.0522386
"Marlon Brando"	0.0521969
"Wesley Snipes"	0.0521352
"Horse Whisperer"	0.0512537
"Tobey Maguire"	0.050967
"Whoopi Goldberg"	0.0504647
"John Leguizamo"	0.0504326
"Jessica Lange"	0.0500914
"Will Smith"	0.0499981
"Bruce Willis"	0.0499053
"Jim Jones"	0.0498351
Pontiacs	0.049819
"Sylvester Stallone"	0.049818
"Sam Shepard"	0.0497823
"Heather Graham"	0.0495632
"Sandra Bullock"	0.0495178
"Ron Howard"	0.049514
"Matthew Broderick"	0.0494295
"Elizabeth Taylor"	0.0493813
"Judi Dench"	0.0491573
"Kathleen Turner"	0.0488446
"James Van Der Beek"	0.0486034
"Tommy Lee Jones"	0.0485472
"James Woods"	0.048544
"Anthony Hopkins"	0.0485261
"George Clooney"	0.0485108
"Henry Fonda"	0.0483269
Rockefellers	0.0482713
"Billy Martin"	0.0480131
"Taye Diggs"	0.0480074
"Garry Shandling"	0.0479363
"Dame Judi Dench"	0.0478536
"Demi Moore"	0.0478182
"Helen Mirren"	0.0476961
"Robin Williams"	0.0475657
"Cameron Diaz"	0.0474533
"Nathan Lane"	0.0472795
"Famke Janssen"	0.0470784
"Ben Affleck"	0.0469569
"John Lithgow"	0.0467605
"Natalie Portman"	0.0467082
"Christopher Reeve"	0.0466894
"Dennis Hopper"	0.0461825
"Julie Andrews"	0.0461458
"Bernadette Peters"	0.0458223
"Jim Thomas"	0.045779
"Eddie Murphy"	0.0454001
"Ramsey Clark"	0.0453164
"Patrick Stewart"	0.0452912
"Vanessa Williams"	0.0450811
"Kris Kristofferson"	0.0450214
"Dennis Quaid"	0.0450213
"Albert Finney"	0.0450109
"Shirley MacLaine"	0.0449589
"Gary Cooper"	0.0449315
"John Belushi"	0.0445566
"Calista Flockhart"	0.0441392
"Drew Carey"	0.0440801
"Sarah Jessica Parker"	0.0440641
"Matt Damon"	0.0439621
"Ethan Hawke"	0.0438752
Gielgud	0.0438133
"Brendan Fraser"	0.043733
"Gregory Craig"	0.0437313
"Tracey Ullman"	0.0436378
"Adam Sandler"	0.0435025
"Elisabeth Shue"	0.0433589
"Nicole Kidman"	0.0432919
"Sidney Poitier"	0.043076
"Ian Holm"	0.043068
"Roberto Benigni"	0.0429848
"Alec Baldwin"	0.0428812
"Jimmy Smits"	0.0428508
"James Earl Jones"	0.0428349
))
("Anne Kremer" (desc 1450.12) (sims
"Albert Portas"	0.490901
"Ramon Delgado"	0.432778
"Mariano Zabaleta"	0.431844
"Franco Squillari"	0.427911
"Magui Serna"	0.423115
"Nathalie Dechy"	0.414469
"Adrian Voinea"	0.409698
"Sarah Pitkowski"	0.407318
"Florencia Labat"	0.406966
"Joannette Kruger"	0.40289
"Hernan Gumy"	0.398361
"Catalina Cristea"	0.39108
"Christian Ruud"	0.375819
"Nicolas Escude"	0.372214
"Sabine Appelmans"	0.368826
"Silvia Farina"	0.367803
"Richard Fromberg"	0.367779
"Tatiana Panova"	0.367317
"Arnaud Di Pasquale"	0.367202
"Marcelo Filippini"	0.364722
"Nicole Pratt"	0.363181
"Rainer Schuttler"	0.361383
"Jerome Golmard"	0.35766
"Juan Antonio Marin"	0.357522
"Tamarine Tanasugarn"	0.35258
"Younes El Aynaoui"	0.350876
"Arnaud Clement"	0.350541
"Steve Campbell"	0.350513
"Judith Wiesner"	0.346704
"Magdalena Maleeva"	0.343603
"Neville Godwin"	0.342682
"Andrei Pavel"	0.342489
"Cara Black"	0.3422
"Barbara Rittner"	0.341779
"Paola Suarez"	0.341401
"Sargis Sargsian"	0.341141
"Renzo Furlan"	0.33446
"Sjeng Schalken"	0.332707
"Xavier Malisse"	0.332029
"Roger Federer"	0.328114
"Sebastien Grosjean"	0.326884
"Naoko Sawamatsu"	0.326258
"Arnaud Boetsch"	0.326046
"Asa Carlsson"	0.324981
"Andreas Vinciguerra"	0.324765
"Alexandra Fusai"	0.324628
"Vincent Spadea"	0.319535
"Barbara Paulus"	0.318609
"Carlos Costa"	0.314016
"Mikael Tillstrom"	0.312977
"Filip Dewulf"	0.312107
"Kenneth Carlsen"	0.311437
"Grant Stafford"	0.311186
"Galo Blanco"	0.310289
"Kveta Hrdlickova"	0.308939
"Elena Dementieva"	0.308556
"Marcos Ondruska"	0.308413
"Alberto Berasategui"	0.307643
"Mariano Puerta"	0.306464
"Tara Snyder"	0.303465
"Fernando Meligeni"	0.299958
"Kim Clijsters"	0.297909
"Miriam Oremans"	0.296919
"Hicham Arazi"	0.296168
"Elena Likhovtseva"	0.295824
"Yayuk Basuki"	0.293624
"Francisco Clavet"	0.292376
"Ruxandra Dragomir"	0.291949
"Gianluca Pozzi"	0.291915
"David Prinosil"	0.290733
"Barbara Schwartz"	0.289953
"Guillaume Raoux"	0.289474
"Max Mirnyi"	0.288893
"Anne-Gaelle Sidot"	0.287416
"Scott Draper"	0.286518
"Andrew Ilie"	0.285223
"Rita Grande"	0.284917
"Karim Alami"	0.284662
"Jonathan Stark"	0.28308
"Leander Paes"	0.282061
"Els Callens"	0.281074
"Amy Frazier"	0.279828
"Ai Sugiyama"	0.279643
"Javier Sanchez"	0.278089
"Jeff Tarango"	0.277995
"Olga Barabanschikova"	0.276005
"Mark Knowles"	0.275824
"Sebastien Lareau"	0.274802
"Magnus Gustafsson"	0.27379
"Michael Tebbutt"	0.273251
"Kristie Boogert"	0.273005
"Corina Morariu"	0.272491
"Richey Reneberg"	0.271689
"Davide Sanguinetti"	0.270066
"Andrea Gaudenzi"	0.269382
"Sergi Bruguera"	0.269054
"Rika Hiraki"	0.267087
"Wayne Black"	0.266958
"Brett Steven"	0.264617
"MaliVai Washington"	0.262858
"Fabrice Santoro"	0.262628
"Denisa Chladkova"	0.260917
"Juan Carlos Ferrero"	0.260357
"Chris Woodruff"	0.259717
"Karina Habsudova"	0.257365
"John Van Lottum"	0.256547
"Felix Mantilla"	0.255634
"Dominique Van Roost"	0.255141
"Paul Haarhuis"	0.255007
"Julian Alonso"	0.254057
"Kimberly Po"	0.253274
"Chanda Rubin"	0.253012
"Nicolas Lapentti"	0.252552
"Jason Stoltenberg"	0.252204
"Dennis van Scheppingen"	0.249619
"Amelie Mauresmo"	0.24929
"Lisa Raymond"	0.248374
"Brenda Schultz-McCarthy"	0.248334
"Andrei Medvedev"	0.247823
"Natasha Zvereva"	0.24737
"Li Fang"	0.246944
"Slava Dosedel"	0.246549
"Sandrine Testud"	0.24637
"Alberto Costa"	0.246247
"Byron Black"	0.24558
"Wayne Arthurs"	0.244947
"Marc Rosset"	0.241708
"Thomas Johansson"	0.241323
"Magnus Larsson"	0.240673
"Magnus Norman"	0.238447
"Daniel Nestor"	0.237673
"Julie Halard-Decugis"	0.236857
"Vince Spadea"	0.236747
"Adriana Gersi"	0.235053
"Daniel Vacek"	0.233667
"Mirjana Lucic"	0.230218
"Barbara Schett"	0.229565
"Paul Goldstein"	0.227504
"Todd Woodbridge"	0.226344
"Marat Safin"	0.225523
"Nicolas Kiefer"	0.225363
"Dominik Hrbaty"	0.224379
"Anke Huber"	0.224263
"Henrieta Nagyova"	0.223608
"Irina Spirlea"	0.223248
Swardt	0.221587
Kroslak	0.216785
"Alex O'Brien"	0.215906
"Martin Damm"	0.215839
"Jelena Dokic"	0.215435
"Kimiko Date"	0.214414
"Tommy Haas"	0.213711
"Mark Woodforde"	0.213335
"Wayne Ferreira"	0.212754
"Bohdan Ulihrach"	0.211552
"Andres Gomez"	0.210986
"Jan-Michael Gambill"	0.210728
"Helena Sukova"	0.209555
"Jiri Novak"	0.208583
"Iva Majoli"	0.205868
"Albert Costa"	0.204571
"Patty Schnyder"	0.203925
"Michael Stich"	0.200149
"Jonas Bjorkman"	0.198316
"Mary Joe Fernandez"	0.197758
"Justin Gimelstob"	0.19742
"Mahesh Bhupathi"	0.195843
"Janet Lee"	0.195491
"Guy Forget"	0.195111
"Amanda Coetzer"	0.194848
"Lori McNeil"	0.193165
"Rodney Eyles"	0.19316
"Conchita Martinez"	0.19057
"Alexandra Stevenson"	0.190164
"Thomas Enqvist"	0.190033
"Cedric Pioline"	0.18821
"Michael Chang"	0.184442
"Thomas Muster"	0.181971
"Jennifer Capriati"	0.181196
Nacional	0.180665
"Petr Korda"	0.180434
Siemerink	0.178718
"Nicklas Kulti"	0.1774
"Nathalie Tauziat"	0.175741
"Richard Krajicek"	0.174656
"Carlos Moya"	0.172842
Dragomir	0.172747
"Gustavo Kuerten"	0.168829
"Todd Martin"	0.168421
"Wang Shi-Ting"	0.167925
"Olivier Delaitre"	0.167244
"Sandra Kleinova"	0.165992
"Katarina Studenikova"	0.165828
"Arantxa Sanchez-Vicario"	0.165174
"Karol Kucera"	0.164709
"Mary Pierce"	0.16462
Schalken	0.163519
"Pat Rafter"	0.161974
"Partizan Belgrade"	0.158488
"Mark Philippoussis"	0.156454
"Arantxa Sanchez Vicario"	0.155865
"Diego Nargiso"	0.155713
"Greg Rusedski"	0.152933
"Jacco Eltingh"	0.152725
"Tim Henman"	0.1524
"Stefan Edberg"	0.15231
"Yevgeny Kafelnikov"	0.150061
"Goran Ivanisevic"	0.149921
"Sandon Stolle"	0.149375
"Mats Wilander"	0.147326
"Serena Williams"	0.146366
"Camilla Martin"	0.145989
Zamalek	0.145354
"Jim Courier"	0.14452
"Jean-Philippe Gatien"	0.143629
"Vladimir Samsonov"	0.142438
"Alex Corretja"	0.141781
Mauresmo	0.141163
"Marcelo Rios"	0.141141
"Anna Kournikova"	0.140042
Independiente	0.139174
"Peter Rasmussen"	0.13842
"Olympique Marseille"	0.13808
"Lleyton Hewitt"	0.137657
"Patrick Rafter"	0.136375
"Larisa Neiland"	0.135834
"Le Defi Francais"	0.135318
Brondby	0.135155
Gremio	0.134133
"David Rikl"	0.13381
"Martin Lee"	0.131903
Halard-Decugis	0.131497
"Slavia Prague"	0.130868
"Ong Ewe Hock"	0.129093
Stoltenberg	0.126823
"Chen Jing"	0.124947
Sanchez-Vicario	0.124627
"Boris Becker"	0.123395
Haarhuis	0.12338
"Gong Zhichao"	0.123138
"Xia Xuanze"	0.122159
"Monica Seles"	0.121497
Testud	0.121432
Sidot	0.121234
Prinosil	0.121092
Rusedski	0.120612
"American Todd Martin"	0.120298
Kucera	0.119203
Kuerten	0.119166
"Colo Colo"	0.11894
"Fung Permadi"	0.118801
"Jana Novotna"	0.118746
"Spartak Moscow"	0.118532
"Sturm Graz"	0.117851
"Athletic Bilbao"	0.117797
"Dai Yun"	0.117164
Atalanta	0.116873
"Rashid Sidek"	0.11681
"Kinder Bologna"	0.116485
"Lindsay Davenport"	0.11563
Besiktas	0.115553
Anderlecht	0.115126
Ulihrach	0.113651
"American Chanda Rubin"	0.11359
Dosedel	0.112847
"Peter Nicol"	0.112692
"Venus Williams"	0.112141
"DON JOHNSON"	0.112069
"Paul Johnson"	0.111702
Habsudova	0.111653
"VfB Stuttgart"	0.11083
"Zoran Primorac"	0.110811
"Celta Vigo"	0.110761
"Peter Gade Christensen"	0.110214
Olimpia	0.110055
Rosenborg	0.109472
Tarango	0.109144
Clavet	0.109044
"Australian Mark Philippoussis"	0.108557
"Van Roost"	0.108535
Bruguera	0.108517
Penarol	0.107787
"Russian Yevgeny Kafelnikov"	0.107564
Benfica	0.107412
Raoux	0.107148
Berasategui	0.106501
"Susi Susanti"	0.105879
"Boca Juniors"	0.105803
"Phenix City"	0.105638
Korda	0.104861
"Werder Bremen"	0.102117
Kafelnikov	0.10199
"Bjorn Borg"	0.101685
"Velez Sarsfield"	0.101322
"River Plate"	0.100142
))
("Anne-Gaelle Sidot" (desc 2311.01) (sims
"Nathalie Dechy"	0.457807
"Sarah Pitkowski"	0.433147
"Arnaud Di Pasquale"	0.432393
"Arnaud Clement"	0.377658
"Miriam Oremans"	0.374241
"Jerome Golmard"	0.368078
"Ruxandra Dragomir"	0.363958
"Sandrine Testud"	0.347492
"Sebastien Grosjean"	0.347353
"Elena Likhovtseva"	0.34488
"Guillaume Raoux"	0.342838
"Julie Halard-Decugis"	0.338753
"Alexandra Fusai"	0.337299
"Arnaud Boetsch"	0.33283
"Amelie Mauresmo"	0.332818
"Nicole Pratt"	0.332645
"Nicolas Escude"	0.32878
"Mariano Puerta"	0.314458
"Magui Serna"	0.314417
"Franco Squillari"	0.312061
"Juan Antonio Marin"	0.305124
"Hernan Gumy"	0.303723
"Fernando Meligeni"	0.302478
"Fabrice Santoro"	0.300229
"Tamarine Tanasugarn"	0.298653
"Alberto Berasategui"	0.297748
"Elena Dementieva"	0.297738
"Paola Suarez"	0.288589
"Anne Kremer"	0.287416
"Ai Sugiyama"	0.284547
"Adrian Voinea"	0.28246
"Irina Spirlea"	0.281659
"Natasha Zvereva"	0.278478
"Younes El Aynaoui"	0.278309
"Olga Barabanschikova"	0.276915
"Richard Fromberg"	0.274868
"Francisco Clavet"	0.274405
"Silvia Farina"	0.273675
"Hicham Arazi"	0.272702
"Barbara Rittner"	0.272166
"Chanda Rubin"	0.27196
"Kenneth Carlsen"	0.270197
"Ramon Delgado"	0.268388
"Barbara Schett"	0.268109
"Sabine Appelmans"	0.266345
"Tatiana Panova"	0.26582
"Andreas Vinciguerra"	0.264934
"Rainer Schuttler"	0.264225
"Florencia Labat"	0.26407
"Davide Sanguinetti"	0.26396
"Albert Portas"	0.263899
"Magnus Gustafsson"	0.263803
"Judith Wiesner"	0.258969
"Nathalie Tauziat"	0.258966
"Dominique Van Roost"	0.257399
"Mariano Zabaleta"	0.255312
"Naoko Sawamatsu"	0.255198
"Cara Black"	0.255003
"Patty Schnyder"	0.254353
"Catalina Cristea"	0.253735
"Vincent Spadea"	0.253713
"Andrea Gaudenzi"	0.253614
"Magdalena Maleeva"	0.25303
"Marcos Ondruska"	0.252599
"Roger Federer"	0.252371
"Sjeng Schalken"	0.252226
"Thomas Johansson"	0.251103
"Mikael Tillstrom"	0.249088
"Renzo Furlan"	0.248822
"Galo Blanco"	0.248573
"Sargis Sargsian"	0.247812
"Lisa Raymond"	0.246864
"Scott Draper"	0.246843
"Jan-Michael Gambill"	0.246344
"Mary Pierce"	0.246136
"Marcelo Filippini"	0.245353
"Andrei Pavel"	0.244513
"Joannette Kruger"	0.243178
"Tommy Haas"	0.242848
"Jason Stoltenberg"	0.242712
"Christian Ruud"	0.241673
"Andrei Medvedev"	0.241331
"Guy Forget"	0.239654
"Sergi Bruguera"	0.238745
"Jeff Tarango"	0.236911
"Xavier Malisse"	0.236599
"Byron Black"	0.234762
"Yayuk Basuki"	0.233905
"Neville Godwin"	0.232469
"Asa Carlsson"	0.231278
"Corina Morariu"	0.230734
"Felix Mantilla"	0.230725
"David Prinosil"	0.229779
"Javier Sanchez"	0.227645
"Kim Clijsters"	0.227032
"Brett Steven"	0.22645
"Carlos Costa"	0.225656
"Marc Rosset"	0.225217
"Amy Frazier"	0.224916
"Wayne Black"	0.224407
"Gianluca Pozzi"	0.222132
"Steve Campbell"	0.221459
"Cedric Pioline"	0.221339
"Michael Tebbutt"	0.221329
"Nicolas Kiefer"	0.220889
"Vince Spadea"	0.220426
"Grant Stafford"	0.220059
"Jelena Dokic"	0.219793
"Mirjana Lucic"	0.219709
"Kristie Boogert"	0.21891
"Wayne Ferreira"	0.218543
"Slava Dosedel"	0.218529
"Amanda Coetzer"	0.218519
"Anke Huber"	0.217594
"Leander Paes"	0.21702
"Marat Safin"	0.216676
"Magnus Norman"	0.215249
Siemerink	0.214774
"Daniel Nestor"	0.214668
"Chris Woodruff"	0.214443
"Barbara Paulus"	0.214397
"Tara Snyder"	0.213422
"Karim Alami"	0.21199
"Paul Haarhuis"	0.2116
"Nicolas Lapentti"	0.211587
"Dominik Hrbaty"	0.209528
"Sebastien Lareau"	0.209233
"American Chanda Rubin"	0.208548
"Conchita Martinez"	0.20782
"Mary Joe Fernandez"	0.206907
"Iva Majoli"	0.206268
"American Todd Martin"	0.206089
"Justin Gimelstob"	0.205524
"Jennifer Capriati"	0.205015
"Jonathan Stark"	0.204898
"Juan Carlos Ferrero"	0.204227
"Magnus Larsson"	0.20261
"John Van Lottum"	0.202608
"Rita Grande"	0.20107
"Nicklas Kulti"	0.200352
"Mark Knowles"	0.199803
"Karina Habsudova"	0.199686
"Max Mirnyi"	0.199661
"Els Callens"	0.199108
"Mark Woodforde"	0.197929
"Jonas Bjorkman"	0.19676
"Todd Woodbridge"	0.195335
"Richey Reneberg"	0.195269
"Kveta Hrdlickova"	0.192213
"Filip Dewulf"	0.190889
"Julian Alonso"	0.190845
"Thomas Enqvist"	0.190818
"Andrew Ilie"	0.189301
"Arantxa Sanchez-Vicario"	0.189076
"Albert Costa"	0.188501
"Karol Kucera"	0.188122
"Tim Henman"	0.187663
"Alex O'Brien"	0.186895
"Todd Martin"	0.186305
"Kimberly Po"	0.186192
"Alberto Costa"	0.185189
"Mark Philippoussis"	0.184413
"Richard Krajicek"	0.184003
"Australian Mark Philippoussis"	0.183894
Kroslak	0.182959
"Jean-Philippe Gatien"	0.179347
"Kimiko Date"	0.178159
"Thomas Muster"	0.177605
"Olympique Marseille"	0.176991
"Andres Gomez"	0.176732
"Bohdan Ulihrach"	0.176039
Swardt	0.175823
"Anna Kournikova"	0.175613
"Daniel Vacek"	0.174934
"Alex Corretja"	0.173313
"MaliVai Washington"	0.172859
"Martin Damm"	0.172555
"Pat Rafter"	0.172145
"Arantxa Sanchez Vicario"	0.170999
"Li Fang"	0.170135
"Jim Courier"	0.169535
"Carlos Moya"	0.169078
"Michael Chang"	0.168706
"Brenda Schultz-McCarthy"	0.165675
"Olivier Delaitre"	0.161915
"Goran Ivanisevic"	0.161048
Testud	0.157247
"South African Amanda Coetzer"	0.156948
"Venus Williams"	0.155627
Dragomir	0.155473
"Mahesh Bhupathi"	0.155398
"Gustavo Kuerten"	0.155045
"Paul Goldstein"	0.154525
"Petr Korda"	0.154448
"Greg Rusedski"	0.154304
"Alexandra Stevenson"	0.154091
Stoltenberg	0.153829
"Barbara Schwartz"	0.153663
"Wayne Arthurs"	0.152627
"Helena Sukova"	0.151502
"Serena Williams"	0.15027
"Marcelo Rios"	0.15025
Halard-Decugis	0.150228
"Jiri Novak"	0.148427
Corretja	0.147427
"Diego Nargiso"	0.14474
"Patrick Rafter"	0.143613
"Rika Hiraki"	0.142939
"Lindsay Davenport"	0.14227
Bjorkman	0.142146
"Boris Becker"	0.142085
"Stefan Edberg"	0.141108
"Janet Lee"	0.141009
Berasategui	0.140619
"Gong Zhichao"	0.140285
"Yevgeny Kafelnikov"	0.140144
Capriati	0.140049
"Adriana Gersi"	0.138774
"Rodney Eyles"	0.138149
"Lleyton Hewitt"	0.136678
Majoli	0.136354
Kucera	0.135947
"Jana Novotna"	0.135937
"Didier Auriol"	0.135015
"Henrieta Nagyova"	0.134792
"Van Roost"	0.13374
Tarango	0.132979
"Michael Stich"	0.13257
"Martina Hingis"	0.131799
"Lori McNeil"	0.131768
"Monica Seles"	0.130951
Likhovtseva	0.129829
"Mats Wilander"	0.129534
"Dennis van Scheppingen"	0.129369
Kuerten	0.12812
Pioline	0.127609
Sugiyama	0.126138
Mauresmo	0.125493
"Russian Yevgeny Kafelnikov"	0.125489
"Wang Liqin"	0.124339
Nacional	0.124302
"Sandon Stolle"	0.123995
Enqvist	0.123883
"Denisa Chladkova"	0.123643
"Christine Arron"	0.123374
"Dallas Burn"	0.122559
Hendrawan	0.122106
Puerta	0.12199
Coetzer	0.121754
Zvereva	0.119325
"American Michael Chang"	0.118951
Mantilla	0.118906
"Colo Colo"	0.118505
"Steffi Graf"	0.117864
Schalken	0.115847
"Paris St Germain"	0.115542
"Fung Permadi"	0.115044
Sanchez-Vicario	0.114047
Frenchwoman	0.112552
"Peter Gade Christensen"	0.112364
Moya	0.112315
"Phenix City"	0.10974
"Ma Lin"	0.109728
"Peter Rasmussen"	0.109412
"Ong Ewe Hock"	0.10822
Nicol	0.107685
"Ye Zhaoying"	0.107381
"Boca Juniors"	0.107031
"Andre Agassi"	0.105694
Rusedski	0.105607
Krajicek	0.10554
Spadea	0.104606
Safin	0.104337
"Wang Shi-Ting"	0.104297
"Crimson Tide"	0.103998
Gimelstob	0.10387
"Simon Archer"	0.103336
"Dai Yun"	0.103168
Auxerre	0.102988
Sidot	0.102788
"Weber State"	0.101261
Dosedel	0.100538
Henman	0.100272
Bastia	0.100158
))
(Annette (desc 1636.35) (sims
Josephine	0.1115
Julia	0.0986001
"Leigh Ann"	0.0983528
"Azizah Ismail"	0.0958663
Deborah	0.0954482
Beverly	0.0944898
Debbie	0.0935443
Bianca	0.0935073
Renee	0.0934916
Kristin	0.0933941
Naomi	0.091921
Karenna	0.0918693
Eileen	0.0916094
Irina	0.0915225
Olga	0.0887616
Meg	0.0885262
Suzanne	0.0881371
Kimberly	0.0880631
Olivia	0.087857
Thelma	0.0873684
Katherine	0.0861806
Marlene	0.0860677
Patti	0.0857978
Susie	0.0851163
Patricia	0.0850128
Marian	0.0840772
Juanita	0.0839036
Rhonda	0.0836528
"Patsy Ramsey"	0.0836311
Lucia	0.0835584
Leah	0.0834201
Audrey	0.0830514
Lori	0.0822409
Miriam	0.0816458
Paulina	0.0813454
Pam	0.0813209
Jessica	0.0809799
"Dee Dee"	0.0807411
Camille	0.0804217
Edith	0.0803632
Frances	0.0802557
Donnie	0.0802332
becky	0.0801473
Courtney	0.0794406
Cheryl	0.0792224
Cindy	0.0783322
Denise	0.0780393
Jessie	0.0779614
Toni	0.076706
colleen	0.0764534
alicia	0.0763076
Ethel	0.0761206
Heidi	0.0750195
ANN	0.0749047
Brenda	0.0747837
Janice	0.0744117
Polly	0.0741006
Marge	0.0730374
Edna	0.0730049
Jacqueline	0.0728908
Liz	0.0725832
Eleanor	0.0725359
Nikki	0.0725187
Pauline	0.072415
Erica	0.0722601
Monique	0.0721903
Marcia	0.0719231
Kathleen	0.0718169
Michele	0.07161
Rebecca	0.0713681
Rosie	0.0713483
Maureen	0.0711689
"Karenna Gore Schiff"	0.0705431
Tammy	0.070414
Jennifer	0.0701125
Roberta	0.06985
JoAnne	0.0698215
Dorothy	0.069359
Diane	0.0687989
Donna	0.0687468
Angela	0.0686556
Kathy	0.0683958
Arlene	0.0681311
Stacy	0.067828
Lydia	0.0675945
Louie	0.0671247
Terri	0.0670571
Sheila	0.0669472
Christine	0.0668405
Stephanie	0.0668351
Sonia	0.0668219
Madeleine	0.0662825
Janet	0.0658951
Andrea	0.0658731
Sylvia	0.0657468
Carolyn	0.0649713
Eva	0.064793
Marta	0.064315
Vera	0.0640859
Bessie	0.0638055
Peggy	0.0634134
Marisleysis	0.0633922
Lynne	0.0630854
Claudia	0.0630405
Hadley	0.0628699
Leslie	0.0627556
Rachel	0.0627402
Amy	0.0627019
Helen	0.0625944
Annie	0.0625097
Jill	0.0619329
Vivian	0.0617942
Barbara	0.0617706
Millie	0.0617063
Beatrice	0.0616089
Susan	0.0615743
Margaret	0.0613267
Cathy	0.0613193
Alexandra	0.0603967
Lucy	0.0603947
Evelyn	0.0602594
Emma	0.0600915
Michelle	0.0598298
Tina	0.0598264
Marilyn	0.05979
Debra	0.0596414
Ida	0.0592759
Gail	0.0591548
Beth	0.0589621
Molly	0.0589398
heather	0.0588548
Claire	0.05884
Valerie	0.0588301
Darlene	0.058749
Vicki	0.0586444
Sadie	0.0583852
Melinda	0.0583036
bride-to-be	0.0581194
Nancy	0.0580464
Doris	0.0579961
Emily	0.0577129
Teresa	0.0576627
Linda	0.0574975
Gina	0.0574532
Gillian	0.0573524
Melanie	0.0572452
Natasha	0.057217
Lisa	0.0572137
ALLISON	0.0570479
Lauren	0.0570352
Sara	0.0567391
Julie	0.0567106
Nicole	0.056548
Sophie	0.056328
Kathryn	0.0561439
Natalie	0.0560904
Yarmila	0.0559573
Elena	0.0555171
Jenny	0.0553285
Catherine	0.0551715
teddy	0.0551652
Phyllis	0.055138
Gerry	0.0550403
Sarah	0.0549537
Betsy	0.0545055
"Amy Brenneman"	0.0544825
Marguerite	0.0544263
Karen	0.0543925
Stella	0.0543723
Jamie	0.0541511
ISABEL	0.0539238
Ellen	0.0537601
Elaine	0.0535747
gloria	0.0534744
Lucille	0.0533063
Carla	0.0532392
Cherie	0.0532343
Brandon	0.0531605
Melissa	0.052964
Gwen	0.0526169
Nina	0.0525503
Lynn	0.0524869
Amanda	0.0523208
Clara	0.0520914
"Annette Bening"	0.0518577
"Isaac Mizrahi"	0.0518497
Judy	0.0517097
Connie	0.0516366
Bridget	0.0514012
Tracey	0.0513509
hazel	0.0511885
"Robin Wright Penn"	0.0511548
Dolores	0.051051
Carol	0.0509655
Rita	0.0508595
Esther	0.0507916
Theresa	0.050722
Vanessa	0.0506988
Danielle	0.0506137
Shawn	0.0504933
))
("Annette Bening" (desc 5888.45) (sims
"Hilary Swank"	0.197658
"Meg Ryan"	0.141389
"Helen Hunt"	0.139284
"Danny DeVito"	0.136594
"Janet McTeer"	0.131724
"Faye Dunaway"	0.127018
"Cate Blanchett"	0.126812
"Michelle Pfeiffer"	0.126564
"Meryl Streep"	0.124781
"Brooke Shields"	0.121256
"Samuel L. Jackson"	0.112451
Bening	0.110753
"Cybill Shepherd"	0.109591
"Sharon Stone"	0.10928
"Jodie Foster"	0.105095
"Natasha Richardson"	0.103489
"Julianne Moore"	0.10316
"Kevin Spacey"	0.102947
"Wesley Snipes"	0.101651
"Angelina Jolie"	0.101391
"Angela Bassett"	0.100471
"Carmen Electra"	0.100229
"Gwyneth Paltrow"	0.100133
"Michael Clarke Duncan"	0.0996843
"Kathy Bates"	0.0996631
"Demi Moore"	0.0986806
"Whoopi Goldberg"	0.0986691
"Denzel Washington"	0.0985289
"Edward Norton"	0.098162
"Nicole Kidman"	0.0976284
"Emily Watson"	0.0975829
"Nick Nolte"	0.0971759
"Sean Penn"	0.0958392
"Kim Basinger"	0.0948129
"Dustin Hoffman"	0.0921605
"Susan Sarandon"	0.0900295
"Glenn Close"	0.0894224
"Brenda Blethyn"	0.089361
"Julia Roberts"	0.0891617
"Harrison Ford"	0.0876225
"Russell Crowe"	0.0872966
"Catherine Deneuve"	0.0871566
"Mel Gibson"	0.0869392
"Geoffrey Rush"	0.086206
"Halle Berry"	0.085133
"Aidan Quinn"	0.0848334
"Ben Affleck"	0.0847429
"Tom Cruise"	0.0838009
"Matthew Perry"	0.0835677
"Geena Davis"	0.0828443
"Tommy Lee Jones"	0.0827543
"Vanessa Redgrave"	0.0820922
"Frances McDormand"	0.0816541
"Haley Joel Osment"	0.0812482
"Melanie Griffith"	0.0811729
"Jennifer Love Hewitt"	0.0808634
"Brian Dennehy"	0.0807287
"Robin Wright Penn"	0.0802698
"Cameron Diaz"	0.079691
"Lauren Bacall"	0.0793014
"Tom Hanks"	0.0788596
"Greg Kinnear"	0.0784399
"Paul Newman"	0.0782986
"Robert Redford"	0.0782017
"Jack Nicholson"	0.0776016
"Michael Caine"	0.0772625
"Diane Keaton"	0.0771421
"Sylvester Stallone"	0.076686
"AL PACINO"	0.0765791
"Minnie Driver"	0.0759578
"Anne Heche"	0.0755124
"Richard Gere"	0.0752948
"John Travolta"	0.0747618
"Bruce Willis"	0.0739694
"Robert Duvall"	0.0738585
"Joan Allen"	0.0737643
"Chloe Sevigny"	0.0733109
"Cuba Gooding Jr."	0.0726146
"Sam Mendes"	0.0723062
"Alec Baldwin"	0.0722412
"Reese Witherspoon"	0.0721322
"Hugh Grant"	0.0718808
"Claire Danes"	0.0718289
"Liam Neeson"	0.0716428
"Arnold Schwarzenegger"	0.0710661
"Jane Fonda"	0.0702452
"Ashley Judd"	0.0693145
"Kirk Douglas"	0.0693039
"Billy Crystal"	0.0690461
"Ian McKellen"	0.0686389
"Bernadette Peters"	0.0683268
"Elizabeth Taylor"	0.0682353
"David Spade"	0.068174
"Penelope Cruz"	0.0678859
"Sigourney Weaver"	0.0677368
"Gregory Peck"	0.0674566
"Jeremy Irons"	0.0668223
"Barbra Streisand"	0.0666007
"Judi Dench"	0.0662901
"Janet Leigh"	0.066011
"Stephen Rea"	0.0653185
"Brad Pitt"	0.0651403
"Gene Hackman"	0.0643347
"Sidney Poitier"	0.0637368
Kidman	0.0636869
"Nathan Lane"	0.063582
"Sandra Bullock"	0.0630549
"Michael Douglas"	0.0628062
"Natalie Portman"	0.0625588
"Jim Carrey"	0.0623599
"Keanu Reeves"	0.0622382
"Harvey Keitel"	0.0622341
"Kirsten Dunst"	0.0618341
"Patricia Arquette"	0.0614537
"Jimmy Smits"	0.0613668
"Vanessa Williams"	0.0611022
"Calista Flockhart"	0.0606494
"Azizah Ismail"	0.0605742
"George Clooney"	0.060574
"Vivien Leigh"	0.0604497
"Ewan McGregor"	0.0602631
"David Duchovny"	0.0601007
"Dan Aykroyd"	0.0600651
"JOHN TURTURRO"	0.0600095
"Sarah Jessica Parker"	0.0599176
"Jennifer Lopez"	0.0597315
"Uma Thurman"	0.0595681
"Clint Eastwood"	0.0595667
"Renee Zellweger"	0.0595515
"Tobey Maguire"	0.0589262
Tracey	0.0584029
"John Leguizamo"	0.0583161
"Sela Ward"	0.0581637
"Jennifer Aniston"	0.0581026
"Parker Posey"	0.0577475
"Rob Lowe"	0.0575661
Billie	0.0575242
"Billy Bob Thornton"	0.0574915
"Jenna Elfman"	0.0572607
"Heather Graham"	0.0572335
"Alicia Silverstone"	0.0572317
"Robert DeNiro"	0.057048
"Pierce Brosnan"	0.0570285
"Leonardo DiCaprio"	0.0570118
"William Hurt"	0.0565998
"Carol Burnett"	0.0564645
"Will Smith"	0.0556636
"Kate Winslet"	0.0556515
"Matthew McConaughey"	0.0555218
"Bill Pullman"	0.0554807
"John Cusack"	0.05545
"Kevin Kline"	0.055119
"Kevin Costner"	0.0550584
"James Van Der Beek"	0.0549192
"Anthony Hopkins"	0.0548693
"Antonio Banderas"	0.0544225
"Christopher Reeve"	0.0539329
"Nicolas Cage"	0.053789
"Ted Danson"	0.0537749
"Anjelica Huston"	0.0535641
"Shirley MacLaine"	0.0533148
"James Gandolfini"	0.0531523
"Mark Wahlberg"	0.0530128
"Jon Voight"	0.052792
"Julie Andrews"	0.0522912
Annette	0.0518577
Jolie	0.0518492
"Salma Hayek"	0.0515213
"Marlene Dietrich"	0.0513489
"Christian Bale"	0.0513062
Sheryl	0.0507818
"Sophia Loren"	0.0507551
"Jessica Lange"	0.0506814
"Famke Janssen"	0.0505174
"Juliette Lewis"	0.0503575
"Bill Murray"	0.0503284
"Chow Yun-Fat"	0.0501571
"Garry Shandling"	0.0501345
"Vince Vaughn"	0.0501219
Vera	0.0499922
"Jerry Seinfeld"	0.049879
"Ed Harris"	0.0498074
Cher	0.0497684
"Norm MacDonald"	0.0495968
"Mike Myers"	0.0495565
"Queen Latifah"	0.0491729
"Gabriel Byrne"	0.0490035
"Jack Lemmon"	0.048909
"Liv Tyler"	0.0487981
"Wang Yeping"	0.0486921
"Robert de Niro"	0.0486844
"Dennis Franz"	0.0486104
Winnie	0.0483998
"Audrey Hepburn"	0.0483451
"Billy Crudup"	0.0481596
"Robin Williams"	0.0480037
"Holly Hunter"	0.047993
"Catherine Keener"	0.0479348
Damon	0.0478991
"Bill Cosby"	0.0477606
))
(annex (desc 7337.57) (sims
addendum	0.122798
appendix	0.10239
preamble	0.0807355
memorandum	0.0661358
signatory	0.0656096
"apartment house"	0.064277
atrium	0.0614584
"exhibition hall"	0.0571635
storeroom	0.0563714
garage	0.0538853
"Guggenheim Museum"	0.0524571
planetarium	0.052228
communique	0.0520965
memo	0.0517772
"Article @"	0.0517026
paragraph	0.0516449
"yellow pages"	0.0515818
pavilion	0.0515566
protocol	0.0514371
rotunda	0.0513831
"office building"	0.0512052
"football stadium"	0.0511531
"phone book"	0.0508103
headquarters	0.0503497
courtyard	0.0503303
high-rise	0.0497011
edifice	0.049647
dormitory	0.0493194
"cargo container"	0.0491011
basement	0.0482087
catalogue	0.0481268
summary	0.0481182
Warehouse	0.0480174
affidavit	0.0474618
depot	0.0472484
"town house"	0.0470482
"bank building"	0.0470099
Ordinance	0.046416
"U.S. Constitution"	0.0463077
diary	0.045634
preface	0.0453277
brochure	0.0452631
skyscraper	0.0450791
"clock tower"	0.0449312
"assembly hall"	0.0448652
"Action Plan"	0.0448375
enclosure	0.0447181
terrace	0.0446921
"white paper"	0.0442935
directive	0.0442686
bylaw	0.0441893
dinghy	0.0441304
"Article @@"	0.0441234
megaplexes	0.0441114
"suspension bridge"	0.0440554
compartment	0.0440295
"Empire State Building"	0.0438996
passageway	0.0438778
"Sino-British Joint Declaration"	0.0437459
"merger agreement"	0.0437219
hangar	0.0436558
infirmary	0.0436118
"voting system"	0.0435539
blueprint	0.0434017
armory	0.0433745
alcove	0.0433507
mock-up	0.0433492
"particle accelerator"	0.0433424
plaza	0.0428543
clause	0.0427422
"Universal Declaration"	0.0426057
facade	0.0425871
"legal code"	0.04257
"Oslo Accord"	0.0424083
manual	0.0422605
"Gorges Dam"	0.0422148
"bomb shelter"	0.0421532
"master plan"	0.0418354
"brokerage account"	0.0416789
EPZ	0.0416155
prospectus	0.0415074
"apartment building"	0.041403
Bund	0.0412827
stipulation	0.041274
"office block"	0.0410762
cofferdam	0.0410449
VFA	0.0410358
"black box"	0.0410106
footnote	0.0408776
cellar	0.0406566
Convent	0.04065
"Fashion Week"	0.0405449
"plan of action"	0.0404914
A@XX	0.0404685
"legal instrument"	0.0404362
"shopping mall"	0.0403133
"art gallery"	0.0402852
cave	0.040273
staircase	0.0402384
directory	0.0402362
dwelling	0.0402064
attic	0.0401987
Dome	0.0400428
))
(annexation (desc 7056.84) (sims
Judaization	0.196046
occupation	0.126561
confiscation	0.114468
expropriation	0.104432
usurpation	0.0984662
colonization	0.0945357
incorporation	0.0909816
takeover	0.0893151
invasion	0.0854857
secession	0.0851154
nationalization	0.0850783
conquest	0.0825714
occupier	0.0817351
liquidation	0.0808633
imposition	0.0807276
expansionism	0.0798191
handover	0.0759382
blockade	0.0750834
closure	0.0744815
"military control"	0.0740066
demolition	0.0737496
Demutualization	0.0733981
statehood	0.0720042
"rise to power"	0.0711201
Privatization	0.0705804
"over @@.@ percent"	0.0702005
reorganization	0.0699938
"Turkish Republic"	0.069015
"one inch"	0.0688608
unification	0.068727
aggression	0.0684819
disinvestment	0.0675311
self-determination	0.0673476
"another @.@ percent"	0.0672249
inundation	0.0669691
"Turkish Republic of Northern Cyprus"	0.0667175
divestiture	0.066673
partition	0.0666066
"Declaration of Independence"	0.0665411
seizure	0.0664475
oppression	0.0663961
repeal	0.0661926
"name change"	0.0655877
bicentennial	0.0650768
abolition	0.0643309
sovereignty	0.0641941
privatisation	0.0639847
separation	0.0638311
demilitarization	0.0634523
decentralization	0.0621238
"another @@.@ percent"	0.0619482
liberation	0.0608831
dollarization	0.0603579
breakup	0.0603037
pullout	0.0602413
downsizing	0.0600405
relocation	0.0595857
pullback	0.0595826
loosening	0.0594561
Helms-Burton	0.0593031
"expansion plan"	0.0592049
"Nanjing Massacre"	0.0588795
"arms deal"	0.0588556
eviction	0.0586829
deregulation	0.0581698
"legal status"	0.0581421
expulsion	0.0581375
foreclosure	0.0579934
restructurings	0.057938
abandonment	0.0575659
buyout	0.0572749
merging	0.0570624
annulment	0.0566289
destruction	0.0565688
"land reform"	0.0565102
realignment	0.0564081
legalization	0.0563013
blocking	0.0561656
expansionist	0.0558386
retrenchment	0.0557682
deportation	0.0556586
armistice	0.0550399
reclamation	0.0548434
adoption	0.0547326
phaseout	0.0542186
canonization	0.0539849
reintegration	0.0539644
"bank withdrawal"	0.0539504
suppression	0.0538145
"bank failure"	0.0538139
Emigration	0.0536113
annihilation	0.0533912
normalization	0.0533807
demobilization	0.0533299
easing	0.0530137
enlargement	0.0529394
buyback	0.0526611
"peace treaty"	0.0525508
shutdown	0.0525025
disintegration	0.0524744
"job cut"	0.052069
dissolution	0.0517813
retention	0.0516506
reunification	0.0515664
encroachment	0.0515617
Reauthorization	0.0513573
dismantling	0.0511102
restoration	0.0508529
layoff	0.0508263
repatriation	0.0507564
Shays-Meehan	0.0507482
"tax reduction"	0.0506861
siege	0.0502813
evacuation	0.0502299
airstrike	0.0502295
fatwa	0.0501695
repression	0.0501487
redistribution	0.0499402
bankruptcy	0.0497142
demarcation	0.0496815
beautification	0.0494615
"Har Homa"	0.0494107
"Earth Day"	0.0492627
revitalization	0.0490007
internment	0.0489917
"Oslo Accords"	0.0489822
Cessation	0.0489315
rebuilding	0.0487922
proclamation	0.0487164
stayaway	0.0487055
renegotiation	0.0486669
"electoral system"	0.0486576
lifting	0.0484691
"tax increase"	0.0483895
noncompliance	0.0483239
"Communist China"	0.0482164
"safety standard"	0.0482131
revocation	0.048182
convening	0.0480007
forming	0.0479893
joining	0.0479764
extermination	0.0478561
accession	0.0478353
ouster	0.0478159
freezing	0.0477832
"budget cut"	0.0477788
consolidation	0.0477593
retooling	0.0476314
embargo	0.0475793
"One-China Principle"	0.0475081
pacification	0.0474445
disbarment	0.0473488
closedown	0.0473405
promulgation	0.0471811
censorship	0.0471261
redevelopment	0.0470735
recapitalization	0.0470586
"military action"	0.0469484
"air raid"	0.0469115
"sphere of influence"	0.0468662
cancellation	0.0468547
reconstruction	0.0468496
"about three percent"	0.0465779
militarism	0.0465666
cutback	0.0464573
resettlement	0.0464149
assimilation	0.0463505
disbandment	0.0463257
founding	0.0463173
assassination	0.0461527
shelling	0.0461182
reconfiguration	0.0460814
reopening	0.0460289
withholding	0.0459146
"debt problem"	0.045896
extradition	0.0458455
excavation	0.0458224
moratorium	0.0458121
spinoffs	0.0457543
withdrawl	0.0456997
transformation	0.045592
"leveraged buyout"	0.0453867
Liberalization	0.0452689
adventurism	0.0452532
reconciliation	0.045234
ordination	0.0452256
leasing	0.0451279
afforestation	0.0450726
pullbacks	0.0450701
procrastination	0.04482
cease-fire	0.0447483
conversion	0.044714
dredging	0.0445619
ratification	0.044513
"work stoppage"	0.044379
domination	0.0443257
"spending cut"	0.044292
redeployment	0.0442892
modernization	0.0440697
spinoff	0.0440125
))
(Annie (desc 9470.93) (sims
Kristin	0.122649
Cindy	0.121728
Brenda	0.119579
Eileen	0.119394
Tracey	0.11867
Meg	0.11641
Kathy	0.115054
Denise	0.115045
Lynne	0.112781
"Azizah Ismail"	0.11192
Evelyn	0.111901
Suzanne	0.111265
Christine	0.111146
anna	0.108233
Pam	0.108122
Patricia	0.107625
Susan	0.106906
Lori	0.106606
Maureen	0.106488
Cheryl	0.106021
gloria	0.105729
Josephine	0.104743
Kathleen	0.103919
Helen	0.103821
JoAnne	0.10289
Cathy	0.102592
"Annie Get Your Gun"	0.101262
alicia	0.101204
Jacqueline	0.101128
Carolyn	0.100947
Dorothy	0.100849
Olga	0.100711
Nancy	0.0998831
Laura	0.0996457
Edith	0.0985004
Leah	0.0983282
Stephanie	0.0976214
Carol	0.0973076
Alexandra	0.0964185
Jill	0.0961193
Linda	0.0957886
Diane	0.0947994
Margaret	0.0945839
Barbara	0.0942488
Frances	0.0941321
Terri	0.0938422
Rita	0.0937089
Deborah	0.0936961
Valerie	0.0933546
Elaine	0.0931748
Julie	0.0928621
Amy	0.0919902
Juanita	0.0918678
Mary	0.0917224
Donna	0.0917132
Lois	0.0916286
Doris	0.0914065
Karen	0.0913152
Sonia	0.0912957
Patti	0.0912132
Alice	0.0910857
Debbie	0.0909557
Lisa	0.0905864
Katie	0.0903265
Debra	0.0900128
Connie	0.089347
Beverly	0.0884123
Vicki	0.0882495
ANN	0.0879269
Anne	0.0877611
Rebecca	0.0877531
Peggy	0.0876678
Irina	0.0876321
Esther	0.0871533
Erica	0.0870399
Michelle	0.0869203
Pauline	0.0864187
Judy	0.0862962
Theresa	0.0862525
Caroline	0.085999
becky	0.0842355
Footloose	0.0840922
Olivia	0.0839971
Sylvia	0.0839961
Audrey	0.083943
Liz	0.0839213
Polly	0.0837901
Cherie	0.0835982
Miriam	0.0835123
"Queen Noor"	0.0830082
Marlene	0.0828726
Janice	0.0827282
Judith	0.0824201
colleen	0.0818214
Eleanor	0.0816642
Natalie	0.0814037
Camille	0.0810752
Kimberly	0.0809531
Kathryn	0.0807618
Lynn	0.0807193
Marta	0.0803704
Jessie	0.080263
Shirley	0.0799295
Ellen	0.0798042
Phyllis	0.079688
Kate	0.079611
Marian	0.0794568
Sarah	0.0791602
Sheryl	0.0788627
Teresa	0.0787962
Sally	0.078728
Andrea	0.0784936
Rachel	0.0784692
Laurie	0.0783839
Nicole	0.0783042
Martha	0.0780551
Dolores	0.0780424
Julia	0.0775176
Jane	0.0772002
Sara	0.076794
Heidi	0.0767797
Stella	0.0766912
Michele	0.0765966
Maria	0.0762962
Joan	0.0762366
Nina	0.0761041
Millie	0.0760458
Jennifer	0.0757418
Lydia	0.0756801
Brooke	0.0756657
Sheila	0.0756467
Angela	0.0755477
Clara	0.0754399
Jessica	0.0753682
Marilyn	0.0752072
Emily	0.0748964
Lucia	0.074858
Beatrice	0.0748148
Toni	0.0745635
Aida	0.0745223
Tipper	0.0740769
Betsy	0.0739255
Megan	0.0737224
Renee	0.0737159
Hadassah	0.0736648
"Patsy Ramsey"	0.0734684
Monique	0.0731806
Nora	0.0731018
Lucy	0.0728696
Sophie	0.0726178
Lauren	0.0723721
Catherine	0.072272
Claire	0.0719912
Marianne	0.071776
"Leigh Ann"	0.0717359
Melissa	0.0715485
Katherine	0.0715424
Janet	0.0714197
Jeanne	0.0711925
Vivian	0.070912
Naomi	0.0704669
hazel	0.0702855
Carrie	0.070049
Norma	0.0700213
Gail	0.0696439
Tina	0.0693415
Anita	0.0693379
Melanie	0.069105
Jackie	0.0688814
Emma	0.0687186
Amanda	0.0686217
Bianca	0.0684681
Betty	0.068465
Melinda	0.0682961
"Carolyn Bessette Kennedy"	0.0681955
Lyn	0.0679729
Dana	0.0679028
Cynthia	0.0677635
"Graca Machel"	0.0677632
Marcia	0.0675343
Elena	0.0665467
Courtney	0.0664347
Lucille	0.0663771
"West Side Story"	0.0663688
Rhonda	0.066243
cabaret	0.0660193
Shannon	0.0658095
Nikki	0.0655224
Beth	0.0654073
Robin	0.0653972
heather	0.0653501
Maude	0.0651198
Roberta	0.0651135
Vera	0.0647864
Elizabeth	0.0647686
Marie	0.0647569
Mimi	0.0641985
sandy	0.063975
Christina	0.0639258
TARA	0.0633432
))
("Annie Get Your Gun" (desc 2393.1) (sims
"Music Man"	0.141015
"West Side Story"	0.131341
Showboat	0.12094
ragtime	0.117627
Annie	0.101262
"Sweeney Todd"	0.0918343
"True West"	0.0906507
"Les Miserables"	0.0902351
cabaret	0.0861497
"Blue Room"	0.0793389
"Iceman Cometh"	0.0770471
Fosse	0.0761269
Footloose	0.0747924
"musical comedy"	0.071894
rainmaker	0.0711191
"Lion King"	0.0710225
"Side Man"	0.0694898
"Beauty Queen"	0.0692426
phantom	0.0676988
Evita	0.0667882
"Marie Christine"	0.0667762
Electra	0.066658
follies	0.0665427
Amadeus	0.0631843
"Lincoln Center Theater"	0.0624498
"Streetcar Named Desire"	0.0616969
"Night Fever"	0.0611933
Othello	0.0606775
"Passion play"	0.0604295
"King Lear"	0.0601068
"Fantasy Island"	0.0598465
carousel	0.0595852
"Peter Pan"	0.0582659
Moser	0.0557199
"scarlet pimpernel"	0.0553103
Turandot	0.0549887
"La Traviata"	0.0538721
"literary criticism"	0.0536374
"Neil Simon"	0.0534036
"sleeping beauty"	0.0532967
fiddler	0.0521485
"old times"	0.0518517
"Wild Party"	0.051384
taming	0.0509995
Camelot	0.0501815
Porgy	0.0496886
Aida	0.0496865
"birthday card"	0.0487016
Bambi	0.0486902
Nutcracker	0.0486848
"variety show"	0.0486686
Salome	0.0471861
"Swan Lake"	0.0469704
"William Shakespeare"	0.0468985
"Jerry Springer Show"	0.0468495
"film clip"	0.0466727
"high society"	0.0466331
Selena	0.0462147
arranger	0.0460206
Oedipus	0.0457737
Godot	0.0455726
"chorus line"	0.0454805
"supporting players"	0.0449579
"piggy bank"	0.0443284
"Tony Awards"	0.0442952
provincialism	0.0441066
Revue	0.044021
"Jurassic Park"	0.0434696
"Potsdamer Platz"	0.0432072
"Oscar Wilde"	0.043185
"Christmas carol"	0.0431105
"professional wrestling"	0.042725
"Parent Trap"	0.042417
"Beijing Opera"	0.042032
"Tom Stoppard"	0.0419672
"Dirty Blonde"	0.041264
"golden rule"	0.040895
"Peony Pavilion"	0.0405059
Fantasia	0.0404515
"swing music"	0.0403862
showgirl	0.0402086
Rigoletto	0.0401922
))
(annihilation (desc 4363.53) (sims
extermination	0.15117
starvation	0.117178
extinction	0.104728
destabilization	0.0936102
destruction	0.0899944
elimination	0.0877091
deportation	0.0868287
obsolescence	0.0857902
disintegration	0.0854237
relegation	0.0829512
insolvency	0.0824738
conflagration	0.0783625
eviction	0.0775979
oppression	0.0748703
overheating	0.0747563
dismantling	0.0738681
expulsion	0.0711559
"chemical warfare"	0.0702894
"arms race"	0.0678906
"power politics"	0.0671002
"mass murder"	0.0662442
marginalization	0.0646314
wipeout	0.0632832
demolition	0.0631593
impoverishment	0.0628093
famine	0.0627131
demilitarization	0.0620142
meltdown	0.061902
anarchy	0.0616415
eradication	0.0613508
cleansing	0.0609601
degradation	0.0609471
Non-Proliferation	0.0604578
"biological warfare"	0.059487
persecution	0.0594072
Fascism	0.0592452
deflation	0.0590372
cataclysm	0.0589236
deterrence	0.0587631
confiscation	0.057291
displacement	0.0572564
self-destruction	0.0570497
nationalization	0.057049
decimation	0.0563282
blackout	0.0562402
devastation	0.0558394
assimilation	0.0558288
contagion	0.0557111
blackmail	0.055638
liquidation	0.0553393
coercion	0.0552918
disarmament	0.0544837
militarism	0.0543849
toppling	0.0543146
dissolution	0.0539251
terror	0.0539048
retaliation	0.0538165
abolition	0.0536158
helplessness	0.0535083
annexation	0.0533912
foreclosure	0.053333
catastrophe	0.0528624
overexposure	0.0522228
shutdown	0.0519984
domination	0.0519669
repression	0.0513213
termination	0.0510347
genocide	0.050923
Ostracism	0.0506076
brinksmanship	0.0501033
opprobrium	0.050039
apocalypse	0.0498528
weaponization	0.049793
disengagement	0.0497471
destitution	0.0492468
upheaval	0.0486841
phaseout	0.0486495
stayaway	0.0485336
"rate rise"	0.0484338
"moral hazard"	0.0483311
one-upmanship	0.0482078
containment	0.0481942
secession	0.0481253
democratization	0.0480793
emancipation	0.0479726
mutilation	0.0477741
thievery	0.0470485
maltreatment	0.0467683
saturation	0.0466131
decentralization	0.0465037
expansionism	0.0463974
conscription	0.0460892
cutoff	0.0460847
paralysis	0.046001
"lingua franca"	0.045972
demobilization	0.0456537
disarming	0.0456493
walkout	0.0455358
infertility	0.045522
meltdowns	0.0454724
oblivion	0.0454464
exodus	0.0454261
hopelessness	0.0454021
rollovers	0.0452545
"crop failure"	0.045127
nonproliferation	0.0449966
interdependence	0.0449014
trouncing	0.0448788
disinvestment	0.0447986
extradition	0.0446857
escalation	0.0445522
"patent right"	0.0442856
retrenchment	0.0442537
legalization	0.0441968
protectionism	0.0441794
sell-offs	0.044054
dispossession	0.0440356
hegemony	0.0440037
looting	0.0438422
overcapacity	0.0436457
thrashing	0.0435293
detente	0.0434572
blowout	0.0433645
nonviolence	0.0430855
detection	0.043068
subordination	0.0429043
multipolarization	0.042833
censorship	0.0428182
"germ warfare"	0.0427634
bloodshed	0.0425592
humiliation	0.0425456
hyperinflation	0.0425128
evacuation	0.0425104
repatriation	0.0424931
"murder conviction"	0.042476
intransigence	0.042364
coexistence	0.0422658
realpolitik	0.0420707
rediscovery	0.0419986
stalling	0.041978
mistreatment	0.041911
denigration	0.0418323
mortality	0.0417655
victimization	0.0417111
stagnation	0.0416648
Betterment	0.0415681
demonization	0.0415212
schism	0.0414773
pogrom	0.0413791
Armageddon	0.041362
autocracy	0.0410803
separatism	0.0409065
non-cooperation	0.0408897
"interest rate increase"	0.0408235
abandonment	0.0406662
scrapping	0.0406513
defection	0.0405228
predation	0.0405205
"price control"	0.040436
resettlement	0.0403322
Burnout	0.0403149
"security interest"	0.0401681
subjugation	0.0401419
"emotional state"	0.040122
))
("Annika Sorenstam" (desc 5907.23) (sims
"Liselotte Neumann"	0.323138
"Karrie Webb"	0.317776
"Juli Inkster"	0.314093
"Pat Hurst"	0.28536
"Laura Davies"	0.281828
"Meg Mallon"	0.276214
"Donna Andrews"	0.230416
"Kelly Robbins"	0.229167
"Helen Alfredsson"	0.227456
"Sherri Steinhauer"	0.222698
"Dottie Pepper"	0.200787
"Se Ri Pak"	0.187157
Sorenstam	0.173581
"Betsy King"	0.164812
"Hale Irwin"	0.151899
"Ernie Els"	0.147846
"Brandie Burton"	0.142167
"Mark O'Meara"	0.141972
"Phil Mickelson"	0.138693
"Vijay Singh"	0.135451
"Lee Janzen"	0.135237
"Nancy Lopez"	0.133075
"Davis Love III"	0.130659
"David Duval"	0.129705
"Nick Price"	0.128898
"Pernilla Wiberg"	0.128831
"Jesper Parnevik"	0.126155
"Jenny Chuasiriporn"	0.12521
"Jan-Ove Waldner"	0.124247
"Magnus Gustafsson"	0.122282
"Eddie Cheever"	0.122013
"Gil Morgan"	0.11571
"Justin Leonard"	0.11169
"Chris Johnson"	0.111025
"Shigeki Maruyama"	0.110422
"Miguel Indurain"	0.109212
"Tiger Woods"	0.106799
"Thomas Enqvist"	0.106289
"Steve Elkington"	0.105385
"Chicago Fire"	0.104894
"Peter Rasmussen"	0.104041
"Tom Lehman"	0.103961
"Deon Hemmings"	0.102768
"Colin Montgomerie"	0.102527
"Sergio Garcia"	0.102297
"Tom Watson"	0.102273
"Fu Mingxia"	0.102024
"Jean-Philippe Gatien"	0.101947
"Fred Couples"	0.10163
"Jarmo Sandelin"	0.101532
"Payne Stewart"	0.101037
"Greg Norman"	0.10049
"HANK KUEHNE"	0.100435
"Corey Pavin"	0.100325
"Matt Kuchar"	0.100031
Kasparov	0.0995938
"Jeff King"	0.0995031
"Mark Calcavecchia"	0.0992357
"Xiong Ni"	0.0990575
"Johan Museeuw"	0.0989755
"Jansher Khan"	0.0989048
"Frank Nobilo"	0.098324
"Jonas Bjorkman"	0.098183
"Elvis Stojko"	0.0976066
"Bjorn Borg"	0.0973904
"Li Jiajun"	0.0969948
"Moses Tanui"	0.0964203
"Nick Faldo"	0.0953006
"Heryanto Arbi"	0.0952919
"Maria Butyrskaya"	0.0948311
"Garry Kasparov"	0.0944015
"Peter Gade Christensen"	0.0940632
Inkster	0.0940253
"Larry Nelson"	0.0938475
"Jubilo Iwata"	0.0937127
Neumann	0.0926213
"Kenny Brack"	0.0922994
"Hal Sutton"	0.092209
"Billy Mayfair"	0.0918166
"Paul Tergat"	0.0917648
Majoli	0.0907728
"Marco Pantani"	0.0904175
"Jack Nicklaus"	0.090105
Susanti	0.0900897
"Alex Zanardi"	0.0894663
"Magnus Norman"	0.0894433
"Lee Westwood"	0.0889613
"Shanghai Shenhua"	0.0881057
"Rodney Eyles"	0.0880233
"Elena Berezhnaya"	0.0876962
"Thomas Johansson"	0.0875548
Montgomerie	0.0867491
"Tommi Makinen"	0.086679
"Asa Carlsson"	0.086564
"Guo Jingjing"	0.086015
"Ye Zhaoying"	0.0858756
Longo	0.0858713
"Mikael Tillstrom"	0.0855047
"Anatoly Karpov"	0.0853585
"Olin Browne"	0.084909
"Michael Doohan"	0.0848864
"Jose Maria Olazabal"	0.0848079
"Ge Fei"	0.0847644
"Bernhard Langer"	0.0846987
"Paul Lawrie"	0.0844975
Gremio	0.0842753
"Gong Zhichao"	0.0842008
"Todd Eldredge"	0.0841801
"Michael Schumacher"	0.0840766
"Steffi Graf"	0.0840134
"Serena Williams"	0.0837589
"Carlos Moya"	0.0835126
"Zoran Primorac"	0.0834667
"Stuart Appleby"	0.0834629
"Seibu Lions"	0.0834454
"Wang Nan"	0.0832826
"Yevgeny Kafelnikov"	0.0832032
"Blaine Wilson"	0.0831881
"Alexei Yagudin"	0.0831568
"Jorgen Persson"	0.0829068
"Dong Jiong"	0.0828946
"Svetlana Khorkina"	0.082824
"Fatuma Roba"	0.0825775
"Steve Jones"	0.0824529
"Dale Jarrett"	0.0824158
Kafelnikov	0.0824022
Webb	0.0816552
Sainz	0.0815376
"Lindsay Davenport"	0.0812262
"Michael Weiss"	0.0811649
O'Meara	0.0811468
Duval	0.0811192
"Stefan Edberg"	0.0800746
"Dale Earnhardt Jr."	0.0798927
Karpov	0.0798856
Pak	0.07986
"John Daly"	0.0798191
"Katja Seizinger"	0.07937
"Iva Majoli"	0.0793138
"Marc Rosset"	0.0792737
Makinen	0.0792564
Sanchez-Vicario	0.0792423
"Charles Austin"	0.078817
"Jeff Maggert"	0.0784969
"Jeff Gordon"	0.0783349
"Raymond Floyd"	0.0783103
"Picabo Street"	0.078213
"Jim Furyk"	0.0781227
"Kong Linghui"	0.0776131
"Mark Brooks"	0.0775319
"Oliver McCall"	0.0773785
Doohan	0.0771429
"Damon Hill"	0.0769321
"Sergi Bruguera"	0.0767996
"Billy Boat"	0.0765545
Alfredsson	0.0763773
"Gustavo Kuerten"	0.0762643
"Tian Liang"	0.0761437
"Lasse Kjus"	0.0761206
"Colin McRae"	0.0758509
Ullrich	0.0758388
"Buster Douglas"	0.0757596
"John McEnroe"	0.0757037
"Paulie Ayala"	0.075689
"Peter Nicol"	0.0756335
"Mark Martin"	0.0755483
"Detroit Red Wings"	0.075517
"Martina Hingis"	0.0754587
"Michael Johnson"	0.0754414
"Fabrice Santoro"	0.0753594
"Beautiful Pleasure"	0.0751651
"Max Biaggi"	0.0750827
"Hermann Maier"	0.0750689
Olympiakos	0.0749464
"Tegla Loroupe"	0.0747879
"MIka Hakkinen"	0.0746211
"Penny Heyns"	0.0745529
"Derrick Adkins"	0.0745455
"Ivan Pedroso"	0.0745311
"Oksana Kazakova"	0.0744563
Malek	0.0744419
Aamodt	0.0743972
"Svetlana Masterkova"	0.0743836
"Monica Seles"	0.0742223
"Andreas Vinciguerra"	0.0741258
"Michelle Kwan"	0.0739669
"Jacques Villeneuve"	0.0738629
"Arantxa Sanchez-Vicario"	0.0737223
"Fiona May"	0.0736231
"Roy Jones Jr."	0.0735689
"Michael Chang"	0.0734669
"Casey Martin"	0.0732892
"Joko Suprianto"	0.0732742
"Michael Andretti"	0.07324
Irwin	0.073203
"Mary Pierce"	0.0731125
"Chris Boardman"	0.0728585
Nicklaus	0.0727408
"Roger Federer"	0.0726753
"Thomas Stangassinger"	0.0724196
))
(anniversary (desc 82170.3) (sims
birthday	0.201263
"National Day"	0.13853
celebration	0.136336
commemoration	0.135566
centennial	0.117356
"wedding anniversary"	0.115331
eve	0.114505
holiday	0.109246
"Veterans Day"	0.105398
Centenary	0.104351
"Independence Day"	0.103494
occasion	0.102803
date	0.0969647
deadline	0.0967246
inauguration	0.095906
ceremony	0.091879
Easter	0.0905026
"national holiday"	0.0892559
opening	0.0878975
jubilee	0.0875401
"Mother's Day"	0.0872188
founding	0.0863179
summit	0.0859395
meeting	0.082276
millennium	0.0808357
election	0.0794903
"Father's Day"	0.0790439
handover	0.0789646
day	0.0784
launch	0.0783205
event	0.0781792
conference	0.0767234
festival	0.076647
"Valentine's Day"	0.0762312
announcement	0.0761863
"New Year"	0.0755836
aftermath	0.0755019
"Spring Festival"	0.0754159
wedding	0.073242
"Labor Day"	0.0718572
funeral	0.070701
"New Year's eve"	0.0705654
session	0.0702963
visit	0.0700269
Christmas	0.0695084
"Fourth of July"	0.0691825
"summit meeting"	0.0685482
"New Year's Day"	0.0682274
signing	0.0676242
birth	0.067074
observance	0.0669676
convention	0.0662598
beginning	0.0661829
"Memorial Day"	0.0658453
wake	0.0656637
"first day"	0.0655103
festivity	0.0653264
graduation	0.0640146
milestone	0.0640136
reunion	0.0638777
launching	0.0629654
commencement	0.0625662
gathering	0.0617702
arrival	0.0614114
edition	0.060297
expiration	0.0600763
concert	0.0598798
"general election"	0.0598368
Halloween	0.0593548
parade	0.0592529
homecoming	0.0591071
bombing	0.0589579
series	0.0577535
incident	0.0573785
Exhibition	0.0573372
news	0.0568606
gala	0.0568587
countdown	0.0568557
Thanksgiving	0.0565581
completion	0.0565477
tour	0.0564756
primary	0.0564123
trip	0.0562986
premiere	0.0560936
massacre	0.056025
resumption	0.0560178
"general assembly"	0.0555256
plenum	0.0554519
killing	0.0550876
"election day"	0.0550043
appearance	0.0547178
history	0.0546287
"board meeting"	0.054526
success	0.0545164
achievement	0.0542528
Congress	0.0541957
"council meeting"	0.0541692
forum	0.0541114
hearing	0.0540689
"National Congress"	0.0539099
"second day"	0.0538972
demonstration	0.0537743
Ramadan	0.0535755
possibility	0.0534007
site	0.053122
Sunday	0.0528862
stage	0.0527803
Monday	0.0525932
unveiling	0.052387
draft	0.0523651
night	0.0523646
Friday	0.052274
round	0.0520498
seminar	0.0518481
referendum	0.0517139
result	0.0516982
Death	0.0516495
caucus	0.0514031
Sabbath	0.0513633
resignation	0.0512308
establishment	0.0512025
Tuesday	0.0511496
Thursday	0.0511482
symposium	0.0511268
Wednesday	0.0510642
performance	0.0510222
Olympics	0.0507011
protest	0.0506916
victim	0.0506604
coronation	0.050506
memorial	0.0504369
publication	0.050254
Mission	0.0501136
weekend	0.0499438
Saturday	0.0499437
dinner	0.0499211
trial	0.0497907
Rally	0.0497468
memory	0.0496259
victory	0.0496016
"Olympic Games"	0.0494792
timing	0.049277
kickoff	0.0487498
Evening	0.0486099
three-day	0.048482
moment	0.0484457
postponement	0.0484406
auction	0.0480649
decision	0.0477838
objective	0.047777
"Super Bowl"	0.047751
coup	0.0477339
Implementation	0.0476846
phase	0.0474619
development	0.0474355
retirement	0.0474093
debut	0.0473628
fair	0.0473246
"World Cup"	0.0473087
independence	0.0472047
opener	0.0471685
spate	0.0471378
ending	0.0471175
enactment	0.0469922
broadcast	0.0469826
"Academy Awards"	0.0469708
championship	0.0468244
goal	0.0468243
conclusion	0.0467992
"All-Star Game"	0.0465452
agreement	0.0465215
withdrawal	0.0464326
string	0.0462809
APEC	0.0462236
"state visit"	0.0462136
luncheon	0.0460703
Execution	0.0460636
prospect	0.0460386
shooting	0.045866
century	0.0458049
theme	0.0457525
term	0.0457216
behalf	0.0456002
"full day"	0.045563
"press conference"	0.0455539
survivor	0.0455236
war	0.0455184
preview	0.0454759
Exposition	0.0453356
departure	0.0453253
contest	0.0453204
speech	0.0453194
"Democratic National Convention"	0.0449566
"early days"	0.0449563
coverage	0.0449469
outcome	0.0449431
accomplishment	0.0448854
"Christmas Eve"	0.0448358
story	0.0448262
debate	0.0447861
))
(annotation (desc 1447.42) (sims
Bibliography	0.084202
glossary	0.078185
notation	0.0769748
monograph	0.0601764
graph	0.0592397
"safety feature"	0.0583424
hyphen	0.0529035
epigram	0.0516596
afterword	0.0513227
provenance	0.0506159
disclaimer	0.050592
reexamination	0.0502252
photocopy	0.0487368
voice-overs	0.0481832
postscript	0.0473729
postmark	0.0468937
deletion	0.0468424
retraction	0.0455528
readout	0.0450193
hyperlinks	0.0448685
proviso	0.0447842
blurb	0.0446383
sidebars	0.0443186
typography	0.0441674
"application form"	0.0440667
"medical exam"	0.0440413
"preconceived notion"	0.0436694
instructions	0.0435861
decoding	0.0431611
chaise	0.0430831
amplification	0.0426702
caveat	0.0424753
C-section	0.0423768
"table of contents"	0.0423016
"computer graphics"	0.0421972
"return address"	0.0421022
"reference book"	0.0420594
"reference work"	0.0418479
"phone jack"	0.0417756
"detective work"	0.0416811
synopses	0.0415691
"yellow light"	0.0414885
airball	0.041409
"musical score"	0.0413163
earpiece	0.040957
"literary work"	0.0401305
))
(announcement (desc 144194) (sims
decision	0.180415
statement	0.173485
report	0.158537
remark	0.152652
comment	0.152543
news	0.143068
ruling	0.131554
Declaration	0.131513
proposal	0.127962
move	0.127365
speech	0.126591
release	0.124352
resignation	0.123538
warning	0.120361
disclosure	0.118826
visit	0.11556
action	0.112053
verdict	0.111675
meeting	0.111394
"earnings report"	0.111208
departure	0.111125
result	0.109657
plan	0.108351
recommendation	0.105736
approval	0.10526
letter	0.104905
offer	0.104727
agreement	0.104307
signing	0.104045
endorsement	0.1033
launch	0.101425
appointment	0.101382
"news conference"	0.101354
arrival	0.100966
finding	0.10001
suggestion	0.0992021
speculation	0.0990091
opening	0.0984689
talk	0.0977079
rumor	0.0963749
arrest	0.0962098
rejection	0.0956503
filing	0.0954155
hearing	0.0953763
attack	0.095334
vote	0.0940928
Rally	0.0940072
revelation	0.093986
refusal	0.0936942
testimony	0.093343
outcome	0.0931178
appearance	0.0930516
request	0.0928118
incident	0.0927514
withdrawal	0.0925524
election	0.0922971
ceremony	0.0918764
acquisition	0.0916115
inauguration	0.0910955
call	0.0904496
discussion	0.0903883
criticism	0.0902978
event	0.0902557
introduction	0.0902375
communique	0.0896785
"rate cut"	0.0896489
assertion	0.0895449
presentation	0.0892958
allegation	0.0890841
briefing	0.0886846
deal	0.0883194
poll	0.0880499
"news report"	0.0879227
pledge	0.0878313
Dismissal	0.0874472
effort	0.0870646
conclusion	0.0869399
interview	0.0868652
message	0.0859584
"press release"	0.0857443
notice	0.0856085
accusation	0.0855606
cancellation	0.0853695
failure	0.0852139
response	0.0847345
performance	0.0847106
debate	0.084704
prospect	0.0846459
appeal	0.0840703
reaction	0.0840234
rise	0.0839237
promise	0.0837545
raid	0.0836465
initiative	0.0835641
"press conference"	0.0834193
surge	0.0829773
"rate increase"	0.0829372
plea	0.0825107
document	0.0820601
intervention	0.0820593
directive	0.0820532
review	0.0820196
AD	0.0819468
assessment	0.0815955
possibility	0.0814704
threat	0.0814292
change	0.0812853
prediction	0.0811426
success	0.0809287
complaint	0.0807581
trip	0.0806409
resolution	0.0801589
test	0.080135
bombing	0.0799368
reshuffle	0.0794361
proclamation	0.0792083
policy	0.0791232
merger	0.0791214
claim	0.0791095
"news release"	0.0787615
assurance	0.0784979
confirmation	0.0784564
postponement	0.0780886
summit	0.0778652
address	0.0777166
pronouncement	0.0776965
decline	0.0776153
deadline	0.0775108
takeover	0.0774604
return	0.0774295
indictment	0.0770668
detail	0.0766533
fact	0.0766459
drop	0.0765011
campaign	0.0763109
anniversary	0.0761863
protest	0.0760216
devaluation	0.0759259
session	0.0759034
demand	0.075864
memo	0.0758571
referendum	0.0756777
sale	0.0755441
cut	0.075511
advertisement	0.0755004
increase	0.0751924
shooting	0.0751448
reversal	0.0751417
forecast	0.0746324
demonstration	0.0744523
publication	0.074421
article	0.0743593
timing	0.0743265
accord	0.0742016
attempt	0.0741441
victory	0.0741384
absence	0.0740261
admission	0.0739466
data	0.0739357
launching	0.0738166
acceptance	0.0737842
gain	0.0737729
explosion	0.0737359
collapse	0.073714
order	0.0736843
investigation	0.0735666
invitation	0.0735516
survey	0.0734923
strike	0.0734758
killing	0.0733719
word	0.0730749
Execution	0.0730631
development	0.0730557
selection	0.0728405
negotiation	0.0727835
stance	0.0727663
resumption	0.0727511
explanation	0.0727461
date	0.0726617
decree	0.0725451
denial	0.0721447
broadcast	0.0720528
measure	0.0720472
celebration	0.071981
series	0.0718389
overture	0.0718005
discovery	0.0716974
question	0.0715437
delay	0.0714412
showing	0.0713823
"rate hike"	0.0712357
story	0.0712197
indication	0.0711631
crash	0.0711405
coup	0.070989
impact	0.0709704
unveiling	0.0709298
loss	0.0709272
commitment	0.0709111
lawsuit	0.0708631
))
(announcer (desc 21511.5) (sims
broadcaster	0.137903
commentator	0.13033
sportscaster	0.115584
narrator	0.103959
"disc jockey"	0.0870987
"radio announcer"	0.0850539
anchor	0.0785132
publicist	0.0708932
interviewer	0.0708749
newscaster	0.0707083
scout	0.0701639
presenter	0.0698067
cameraman	0.0696825
"pitching coach"	0.0683308
referee	0.061956
Programmer	0.0613679
writer	0.0602055
sportswriters	0.0598699
DJ	0.0595124
conductor	0.0594082
Telecast	0.059323
correspondent	0.0589331
reporter	0.0582824
organist	0.0577065
analyst	0.057565
"general manager"	0.0574172
"master of ceremonies"	0.0573438
assistant	0.0572993
comedian	0.0571705
anchorman	0.0568901
trainer	0.055909
"football coach"	0.055627
clerk	0.0554811
dispatcher	0.0554789
instructor	0.0552503
execs	0.0546505
sportswriter	0.0542863
pundit	0.0538845
performer	0.0537443
musician	0.0537093
newsman	0.0528193
columnist	0.0526692
photographer	0.0524154
"basketball coach"	0.0522276
actor	0.0520362
exec	0.0520166
commentary	0.0516178
translator	0.0516147
"Al Michaels"	0.0516046
handyman	0.0513731
cameramen	0.0509788
arranger	0.0509065
Promo	0.0508512
"talent scout"	0.0504375
choreographer	0.0502008
wrestler	0.0499321
lifer	0.049619
"Bob Costas"	0.0495459
"sports writer"	0.049392
caller	0.0492617
play-by-play	0.0492344
caddie	0.0490894
curator	0.0488126
promoter	0.0486865
attendant	0.0486189
actress	0.0485744
ballplayer	0.0483548
athlete	0.0483456
copywriter	0.0482905
slugger	0.0482654
lecturer	0.0481389
dancer	0.0480945
programming	0.0480526
catcher	0.0479061
singer	0.0476465
"news show"	0.047429
"press agent"	0.0474188
"news program"	0.047398
receptionist	0.0473517
listener	0.0472318
journalist	0.0471793
pianist	0.0470721
electrician	0.0469106
recruiter	0.046686
violinist	0.0466609
entertainer	0.0466258
"executive vice president"	0.0466181
preacher	0.0466142
teller	0.046573
spectator	0.0465449
guru	0.0464754
steward	0.0464231
Sims	0.0464039
waiter	0.0463686
greats	0.0463534
lyricist	0.0463046
educator	0.0462941
screenwriter	0.0462702
hostess	0.0462539
reviewer	0.0461992
guitarist	0.046061
designer	0.0460549
umpire	0.0459709
technician	0.0459548
cartoonist	0.0459457
panelist	0.0455958
chef	0.0455566
superstar	0.0455417
Playwright	0.0454214
closers	0.0454019
editor	0.0454002
"stage manager"	0.0453742
cashier	0.0453579
illustrator	0.0452355
"baseball player"	0.0450837
junkie	0.045067
legend	0.0450563
"hockey player"	0.0450456
contestant	0.0447717
"volleyball player"	0.0447268
historian	0.044726
understudy	0.0447006
tutor	0.0446455
physician	0.0446354
"English teacher"	0.0446224
meteorologist	0.0445751
golfer	0.0445635
"weather forecaster"	0.0445343
stuntman	0.0445157
"starting pitcher"	0.0444787
bodybuilder	0.0444354
accountant	0.0443956
student-athletes	0.0443301
Sampson	0.0442141
outfielder	0.0442132
comic	0.0441183
purist	0.0437779
Mariucci	0.0437376
salesman	0.0436648
bigwig	0.0436377
pitcher	0.0436359
"television reporter"	0.0435995
drummer	0.043542
lobbyist	0.0435032
hurler	0.0434793
"art director"	0.0434452
organizer	0.0432542
spotter	0.0431613
interpreter	0.042814
voice-over	0.0427344
vocalist	0.0426952
racer	0.0426167
waitress	0.0426012
fixture	0.0425047
chaplain	0.0424549
rabbi	0.0423913
watcher	0.0423664
"investment banker"	0.0422867
"management consultant"	0.0422562
"fashion model"	0.0422466
"basketball player"	0.0422165
spokesperson	0.042184
filmmaker	0.0420655
informer	0.0419377
"disk jockey"	0.041811
weatherman	0.0417452
"minor leaguer"	0.0416972
administrator	0.0416731
"John Paul"	0.0416193
coordinator	0.0416012
boxer	0.0415899
Schmalensee	0.0414517
composer	0.0412532
painter	0.0412218
Kicker	0.0411687
"public defender"	0.0410527
ref	0.0410024
"news report"	0.0409583
filmmakers	0.0409103
Litigator	0.0408294
jockey	0.0407739
operator	0.0407692
soloist	0.0407593
consultant	0.0407278
questioner	0.0407003
rider	0.0406842
"radio broadcast"	0.0406789
"private investigator"	0.0404958
cantor	0.0404425
rappers	0.0403946
shortstop	0.0403743
cheerleader	0.0403534
janitor	0.0403342
"football player"	0.040278
picker	0.0402286
sitcom	0.0401693
))
(annoyance (desc 13020.6) (sims
dismay	0.118776
irritation	0.115981
consternation	0.115322
frustration	0.105115
disappointment	0.102847
chagrin	0.0998357
inconvenience	0.0985625
amazement	0.0980781
anger	0.0960593
Nuisance	0.0918765
disgust	0.091563
embarrassment	0.0914936
bewilderment	0.0881019
pique	0.08524
hassle	0.0836044
anxiety	0.0825531
confusion	0.0824904
discomfort	0.081135
bitterness	0.0804144
exasperation	0.0790686
disbelief	0.0770628
incredulity	0.0768816
Distress	0.0758489
regret	0.0757711
indignation	0.0746628
outrage	0.0739086
sadness	0.0738528
displeasure	0.073461
astonishment	0.073365
shock	0.0726391
anguish	0.0703322
weariness	0.0700571
jealousy	0.0698481
sorrow	0.0696362
unease	0.0696187
envy	0.0686318
amusement	0.0684486
puzzlement	0.0681726
pleasure	0.0675488
resentment	0.067397
uneasiness	0.0670874
misunderstanding	0.0668584
insecurity	0.0659542
mistrust	0.0656982
hiccup	0.0654295
delight	0.0654076
disillusionment	0.0652313
dissatisfaction	0.0651229
grief	0.0646942
hardship	0.0645656
curiosity	0.0642961
imperfection	0.0632852
horror	0.0632528
indignity	0.0627335
angst	0.0619423
distraction	0.0615137
uncertainty	0.0606116
friction	0.0600195
disquiet	0.0600043
despondency	0.0599147
shame	0.0593366
suspicion	0.0587001
disruption	0.0586889
nervousness	0.0583954
apprehension	0.0581187
alarm	0.0580118
irritant	0.0578821
pity	0.0575343
wariness	0.0572559
trepidation	0.0570946
impatience	0.0570738
drawback	0.0569852
aggravation	0.0567596
pain	0.0566389
disenchantment	0.0564252
disapproval	0.0562155
pride	0.0559607
discontent	0.055832
joy	0.0552096
unhappiness	0.0551282
rancor	0.054572
irony	0.0545438
excitement	0.0545401
satisfaction	0.0543629
glitch	0.0542535
ridicule	0.0541844
rage	0.054004
certainty	0.0539339
fury	0.0538682
doubt	0.0537637
"cash crunch"	0.0536922
panic	0.0536704
headache	0.05365
skepticism	0.0534493
contradiction	0.0534467
despair	0.0534303
misery	0.053238
"health problem"	0.0528583
petulance	0.0528378
"inferiority complex"	0.0525679
flaw	0.052454
disdain	0.0523404
misgiving	0.0523172
difficulty	0.0519529
self-doubt	0.051642
contempt	0.0516174
absurdity	0.0513737
sympathy	0.0512749
coincidence	0.0511764
emotion	0.0511677
handicap	0.0509724
distrust	0.050911
hindrance	0.0507609
fatalism	0.050508
animosity	0.0503916
elation	0.0503542
hesitation	0.0497657
vulnerability	0.0497188
scorn	0.0496039
calamity	0.049562
exaggeration	0.0495171
helplessness	0.0495067
ambivalence	0.0495016
volatility	0.0494418
chore	0.0493347
ire	0.0493097
blip	0.0492714
inaccuracy	0.0491614
blessing	0.0491376
remorse	0.0490962
disagreement	0.048776
desperation	0.0487555
adversity	0.0486718
hatred	0.048648
hopelessness	0.0485078
familiarity	0.0484464
discouragement	0.0484334
tension	0.0484245
commotion	0.048217
"deja vu"	0.0480424
gripe	0.0479805
wonderment	0.0479702
disaster	0.0478147
hysteria	0.0478109
misperception	0.0476203
condescension	0.0476061
anomaly	0.0474559
reluctance	0.0474076
insult	0.0472806
shortcoming	0.0471569
scepticism	0.047075
futility	0.0470727
distaste	0.0469465
understatement	0.0469235
interruption	0.0468967
humiliation	0.0468717
paradox	0.0468073
mystery	0.0467364
setback	0.0463806
hesitancy	0.046288
"side effect"	0.046239
infraction	0.0461399
optimism	0.0460832
dissent	0.0460274
alienation	0.0458061
revulsion	0.0457523
infirmity	0.0455704
chuckle	0.0455085
outages	0.0454906
quirk	0.0454199
hazard	0.0452115
disharmony	0.0451759
crises	0.045113
injustice	0.0450871
instability	0.0450469
tragedy	0.0449658
urgency	0.0449224
complication	0.0448898
dustup	0.0448722
lapse	0.0446806
"school of thought"	0.0445779
malady	0.0445656
luxury	0.0444217
impairment	0.0442035
"earnings disappointment"	0.0441286
divisiveness	0.0440978
trauma	0.0440769
inequality	0.0440754
agitation	0.0439726
obstacle	0.0439213
pessimism	0.043767
inequity	0.0437423
heartbreak	0.0436971
aberration	0.0436896
"invasion of privacy"	0.0436702
footnote	0.0436051
loneliness	0.0435895
stigma	0.0434951
jubilation	0.0434245
controversy	0.043395
))
(annual (desc 24333.1) (sims
"gross national product"	0.0864177
perennial	0.0850328
monthly	0.0816628
GNP	0.0779899
output	0.0758573
GDP	0.0745897
"gross domestic product"	0.071457
income	0.0697836
"market value"	0.0697626
"gross income"	0.0686398
"net income"	0.0685565
"operating budget"	0.0670195
"growth rate"	0.0667508
shrub	0.0667148
"national income"	0.0665942
expenditure	0.0656044
capacity	0.0654958
"production capacity"	0.0648781
"production cost"	0.0643303
capitalization	0.0627384
payroll	0.0621001
volume	0.0619829
revenue	0.0619365
salary	0.0616194
"insurance premium"	0.0614068
"retail price"	0.0613313
investment	0.0611483
consumption	0.0610822
maximum	0.0607937
second-quarter	0.0604149
deposit	0.0600263
wage	0.0599094
azalea	0.0599068
enrollment	0.0595018
"steel production"	0.0594036
Gross	0.0590623
"unemployment rate"	0.0589616
"price tag"	0.058594
"inflation rate"	0.05833
"take-home pay"	0.0582292
"tax revenue"	0.0582222
"operating cost"	0.0576089
"consumer price index"	0.0574397
"occupancy rate"	0.0571981
"retail sale"	0.0569923
bulb	0.0567165
biennial	0.0564746
spending	0.0562232
double-double	0.0560652
Tonnage	0.0560182
premium	0.0556985
flower	0.0554627
"net profit"	0.0553986
acreage	0.0553415
"face value"	0.0553098
crop	0.0549622
"wedding anniversary"	0.0548138
"property tax"	0.0546589
surplus	0.0540643
minimum	0.0540353
"oil production"	0.0540148
profit	0.0535536
budget	0.0534857
"vehicle sale"	0.0532648
bonus	0.053084
"land area"	0.0530121
saving	0.0529465
interbank	0.0528377
"life expectancy"	0.0527047
"medicare payment"	0.0526333
"trade surplus"	0.0524241
quarterly	0.0522235
"operating expenses"	0.052211
"selling price"	0.0519849
earnings	0.0519846
"average cost"	0.0516824
"flow rate"	0.0515237
"budget deficit"	0.0514739
vine	0.0514306
inflow	0.0512695
"trade deficit"	0.0511875
contribution	0.0511837
donation	0.0511305
"poverty rate"	0.0510686
throughput	0.0509197
"prize money"	0.0509106
"tax rate"	0.0508965
overall	0.0508492
workforce	0.0508175
"debt service"	0.0506769
Tuition	0.0504783
pension	0.0504609
"elephant population"	0.0503435
"pretax profit"	0.0502916
"capital expenditure"	0.0502403
asset	0.0502367
"electric bill"	0.0502183
gala	0.0501442
"labor force"	0.049849
"annual payment"	0.0498352
amount	0.0497659
domestic	0.049412
occupancy	0.0493536
endowment	0.0493201
rebate	0.049294
"personal income"	0.0492412
fee	0.0492244
"labor cost"	0.049058
plenum	0.0490446
"rate of growth"	0.0489358
vegetable	0.0487002
ratio	0.0486931
"income tax"	0.0484166
"turnover rate"	0.0484087
wildflower	0.0483452
two-day	0.0482134
outlay	0.0480571
"retail price index"	0.0478858
subsidy	0.0478128
purse	0.0477941
festival	0.0477628
expense	0.0477266
fare	0.0476548
"list price"	0.047591
"tax bill"	0.0475181
"work force"	0.0475107
"purchase price"	0.0475024
three-day	0.0471757
enrolment	0.0471753
fatality	0.0470327
"mortality rate"	0.0470109
debt	0.0468528
"tax cut"	0.0465511
deficit	0.0464968
grain	0.0464049
"International Conference"	0.0463549
refund	0.0462283
borrowing	0.0460592
sum	0.0460115
"general assembly"	0.0459838
"asking price"	0.0459353
unemployment	0.0459166
"fertility rate"	0.0458361
payment	0.0458199
caseload	0.045769
"tax credit"	0.045731
receipt	0.0456084
extra	0.0455577
"customs duty"	0.0454293
inaugural	0.0454158
tariff	0.045325
NPLs	0.0451975
"retirement benefit"	0.0451153
equity	0.0450787
turnover	0.0450483
subscriber	0.0450157
"tax break"	0.0449995
"mortgage rate"	0.044949
"credit line"	0.0449341
"bank deposit"	0.044805
mortgage	0.0447924
"crime rate"	0.0447896
"New York City Marathon"	0.0447812
"sales tax"	0.0446707
hryvna	0.0446676
appropriation	0.0445983
evergreen	0.0445416
harvest	0.0445348
"foreign direct investment"	0.0445137
hydrangea	0.0444601
"asset value"	0.0443295
"death rate"	0.0442267
herb	0.0440981
payout	0.044054
"World Congress"	0.0440004
overpayment	0.0438793
"rate of inflation"	0.0438685
PRICETAG	0.0438633
FDI	0.0437687
household	0.0436227
top-@@	0.0435172
payday	0.0434992
seminar	0.0432786
productivity	0.0432526
cotton	0.0431718
compensation	0.0430027
"dividend yield"	0.0429999
deductibles	0.0429884
allocation	0.0428603
royalty	0.0428526
wheat	0.0426406
dividend	0.0425305
edition	0.0425008
"defense budget"	0.0424087
installment	0.0423789
"interest payment"	0.0423758
"ASEAN Ministerial Meeting"	0.0423687
"National Games"	0.0423048
density	0.0422949
disbursement	0.0422359
))
("Annual Meeting" (desc 1607.39) (sims
AMM	0.248261
"Ministerial Meeting"	0.246936
"Infantry Battalion"	0.208082
"World Health Assembly"	0.17756
"ASEAN Ministerial Meeting"	0.167929
"World Congress"	0.151019
"Plenary Session"	0.13867
percentile	0.137739
"wedding anniversary"	0.13636
"Millrose Games"	0.130329
"interim committee"	0.129855
UPC	0.128446
"Infantry Division"	0.125572
"Ministerial Conference"	0.125348
"World Conference"	0.122938
"spelling bee"	0.120712
"Special Session"	0.119987
"International Conference"	0.116477
"International Congress"	0.114786
double-double	0.102916
IGC	0.0983024
"World Petroleum Congress"	0.0963823
"South Summit"	0.0956332
"Grammy Awards"	0.0943639
plenum	0.0937345
"Cannes Film Festival"	0.0937033
"Fortune Global Forum"	0.0927854
"Airborne Division"	0.0921558
"birthday present"	0.0906585
"Consultative Group"	0.0894386
"World AIDS Conference"	0.0892648
"Board of Governors"	0.0886148
"World Food Summit"	0.0865642
"International Symposium"	0.0852057
"South Pacific Forum"	0.0830619
prvs	0.08282
"World Table Tennis Championships"	0.0825641
"Trade Fair"	0.0810267
WHA	0.0802685
mini-camp	0.0795479
"International AIDS Conference"	0.0794126
"Independence Day"	0.0792363
"major league season"	0.0779332
"council meeting"	0.0775479
"Emmy Awards"	0.0771422
"commencement ceremony"	0.076698
telethon	0.0761595
"National Party Congress"	0.07351
psalm	0.0727096
"New York Film Festival"	0.0724704
"Arab Parliamentary Union"	0.0697482
"National Day"	0.0692047
Asia-Europe	0.0668932
"congressional district"	0.0661532
"National Congress"	0.0658145
"station house"	0.0649675
"board meeting"	0.0649354
infantry	0.0649061
"Circuit Court"	0.0640782
"CPC National Congress"	0.0632986
Synod	0.063208
"Monetary Policy Committee"	0.0631609
"Tony Awards"	0.0623432
ld	0.0621125
convocation	0.060816
"Earth Summit"	0.0606149
"Indy @@@"	0.0602287
Regiment	0.059391
Ave	0.0592704
"Asia-Europe Meeting"	0.0588167
game.	0.0586983
"prayer meeting"	0.0579643
co-chairmanship	0.0578759
grosser	0.0575984
"First Session"	0.057471
"Millennium Summit"	0.0571575
"World Environment Day"	0.0566128
"Fourth Session"	0.0564746
"swim meet"	0.0554543
"National Conference"	0.0547053
"wedding ceremony"	0.0544533
confab	0.0542315
"ASEAN Regional Forum"	0.0538838
"National Games"	0.0535692
"District Court"	0.0531675
"Summer Olympic Games"	0.0521937
"committee meeting"	0.0521688
"U.N. Millennium Summit"	0.0515816
"Second Session"	0.0515393
"music school"	0.0515188
"driving school"	0.0514413
"birthday gift"	0.0509366
"Asia-Pacific Economic Cooperation"	0.0506958
"Academy Awards"	0.0505488
"Asia Pacific Economic Cooperation"	0.0501914
conclave	0.0495192
"Third Session"	0.0494476
"retail operation"	0.0492552
"Non-Aligned Movement"	0.0490439
"key rate"	0.0489695
emporium	0.0487121
"SEA Games"	0.0485536
mini-summit	0.0484478
"Multimedia Super Corridor"	0.0479971
swearing-in	0.0479335
"military drill"	0.047117
Olympiad	0.0469389
"Economic Cooperation Organization"	0.0468971
"religious ceremony"	0.046777
"World Women"	0.0465568
Consulate-General	0.0463624
"World AIDS Day"	0.046332
parley	0.0461461
SAARC	0.0460482
Oktoberfest	0.0457602
"African Cup"	0.0454226
"jazz festival"	0.0451368
roadshow	0.044726
"three-day event"	0.0446589
"tea party"	0.0445758
reenactment	0.0444667
"Panchen Lama"	0.0444584
"car race"	0.0443253
"Special Olympics"	0.044271
Ld-Writethru	0.0435355
Presense	0.0432028
Freaknik	0.0429789
"Fourth World Conference"	0.0427751
YUGOSLAVIA-KOSOVO	0.0427445
Ticketmaster	0.0422641
fundraisers	0.0421808
"Third Plenary Session"	0.0420866
Asiad	0.0420607
"closed session"	0.0418454
Panchen	0.041599
"public lecture"	0.0414186
"offer price"	0.0413921
"branch office"	0.0412787
induction	0.0412592
teach-in	0.04084
"prayer service"	0.0408068
commencement	0.0407592
"European Swimming Championships"	0.0405724
"World University Games"	0.0404134
"triple play"	0.0403667
"wedding party"	0.0403455
"religious service"	0.0400632
))
("annual payment" (desc 1501.38) (sims
"pretax charge"	0.205882
payout	0.177479
"operating budget"	0.170967
"pretax loss"	0.160794
"asking price"	0.146982
"sticker price"	0.13577
savings	0.135721
"purchase price"	0.129698
bequest	0.124837
"gross income"	0.119099
PRICETAG	0.117661
"war chest"	0.116518
"golden parachute"	0.114386
appropriation	0.113403
"equity investment"	0.112484
"nest egg"	0.111794
"cash payment"	0.108808
"marketing cost"	0.108604
"list price"	0.107388
"personal loan"	0.105252
"price tag"	0.102987
"ad blitz"	0.101783
"tender offer"	0.100125
"net income"	0.100096
"capital investments"	0.0992172
jackpot	0.0990924
"cash bonus"	0.0990455
"operating cost"	0.0976399
infusion	0.0971364
outlay	0.096673
payday	0.0963672
"credit line"	0.095419
"letter of credit"	0.0927131
"death benefit"	0.0925486
"net profit"	0.0924644
"dollar amount"	0.090757
payouts	0.0906986
"capital expenditure"	0.0883795
write-down	0.0876894
counteroffer	0.0873558
overdraft	0.0858374
"down payment"	0.0851993
"interest payment"	0.083921
"medicare payment"	0.0825964
"pretax profit"	0.082554
"dividend payment"	0.0824197
"production cost"	0.0822527
"rate of exchange"	0.0819601
caseload	0.0811697
"tax benefit"	0.0811465
stipend	0.0797359
"line of credit"	0.0787964
T-bonds	0.0784624
endowment	0.0777244
write-off	0.077568
"operating expenses"	0.0772379
reimbursement	0.0769537
"entrance fee"	0.0765413
payoff	0.076224
allotment	0.0757097
repayment	0.0756614
"tax deduction"	0.0755803
"Official Development Assistance"	0.0754795
"retirement benefit"	0.075473
facelift	0.0754645
"bank rate"	0.0750773
"record earnings"	0.0738692
increment	0.0736272
indemnity	0.0730169
capitalization	0.0726125
"selling price"	0.0712045
paycheck	0.0710716
"day of rest"	0.0700426
"record price"	0.0693179
windfall	0.0690818
lifespan	0.0687025
disbursement	0.0686097
"admission price"	0.0685882
"fertility rate"	0.0678163
"average cost"	0.0677443
"face lift"	0.0675397
inheritance	0.0668861
"elephant population"	0.0667913
"national income"	0.0666149
"steel production"	0.0664046
"wage increase"	0.0663256
"prize money"	0.0660584
"compensation package"	0.0659169
restitution	0.0657247
headcount	0.0655536
"pay cut"	0.0653164
"oil production"	0.0646862
co-payment	0.064514
"market value"	0.0644995
assistances	0.064441
"disability payment"	0.0643947
"transfer payment"	0.0640237
"tax bill"	0.0639509
caseloads	0.0637416
yea	0.0635159
"bond rating"	0.063452
"poverty rate"	0.0633367
NPLs	0.0630018
overpayment	0.0629455
"electric bill"	0.0627702
Ransom	0.062249
"honorable mention"	0.0621733
"incubation period"	0.0621276
knighthood	0.0617416
"bank deposit"	0.0614559
"job offer"	0.0613774
"housing sale"	0.0613085
"turnover rate"	0.0604023
"hospital care"	0.0604017
years.	0.0603587
"response time"	0.0602852
"takeover offer"	0.0602225
billing	0.0601424
"face value"	0.0597263
"retail price"	0.0597219
co-payments	0.0593251
"tax treatment"	0.059213
"debt payment"	0.059109
"truck sale"	0.0590335
divestitures	0.058919
obeisance	0.0588505
"fund-raising drive"	0.0586876
"tax income"	0.0585615
"margin call"	0.0584467
"bond issue"	0.058382
"personal income"	0.0580231
bounty	0.0577297
"market penetration"	0.0576403
refurbishment	0.0576256
tractor-trailers	0.057616
"living wage"	0.0574693
"tax credit"	0.0572142
deduction	0.0569912
"surface area"	0.0565829
wage-earner	0.0563242
"Social Security benefit"	0.0560644
retainer	0.0559812
"a few thousand dollars"	0.0559108
"one million dollars"	0.0557188
"management fee"	0.0556718
"tax bracket"	0.055448
"financial obligation"	0.0553736
viewership	0.0552415
"labor cost"	0.0552149
spacewalks	0.0552031
"user fee"	0.055147
freebies	0.055093
"order form"	0.0550529
"financial loss"	0.0549434
"property tax"	0.0548895
annuity	0.0546462
"insurance premium"	0.0543795
"tax reduction"	0.0543049
"trust fund"	0.0540589
Requests	0.0539898
fillip	0.0539545
remittance	0.053867
"break of serve"	0.0538572
"over six"	0.0537592
"wage scale"	0.0535451
"book value"	0.0534486
technicals	0.0533189
"All-Star Games"	0.0530726
"about $@ million"	0.0529762
B-@s	0.052849
monies	0.052689
carryover	0.0526639
"more than @@@ million dollars"	0.0524757
"over @@@ million US dollars"	0.0524247
"exhibition area"	0.052394
"seating capacity"	0.0523876
"fund-raising campaign"	0.0522848
"membership card"	0.0521623
"less than one-tenth"	0.0521159
salinity	0.0520434
"licensing fee"	0.0517836
"investment portfolio"	0.0517804
alimony	0.0515875
"capital gain"	0.0515035
"RM@@,@@@"	0.0512095
"bid price"	0.0510518
"key rate"	0.0508134
outflow	0.0507503
markup	0.0506643
"marriage proposal"	0.0506257
"defense budget"	0.0505304
"rate of growth"	0.0505285
homeownership	0.0505151
lead-in	0.0505037
counterbid	0.0504008
"pay raise"	0.0502578
intake	0.0502447
supplementation	0.050232
losses	0.0501942
dosage	0.0500972
))
(annuity (desc 11209.9) (sims
"life insurance"	0.179122
"mutual fund"	0.154315
pension	0.142189
"brokerage account"	0.134201
"savings account"	0.133726
"retirement plan"	0.132518
"bond fund"	0.130195
"Vanguard Index @@@"	0.1291
reinsurance	0.127459
"disability insurance"	0.123459
"savings bond"	0.120604
"retirement account"	0.119828
mortgage	0.116753
"certificate of deposit"	0.114128
"Roth IRA"	0.113906
"municipal bond"	0.112628
insurance	0.110454
"checking account"	0.10964
alimony	0.101044
"trust fund"	0.0992951
portfolio	0.0978897
"health insurance"	0.095282
"home mortgage"	0.0943799
IRA	0.0943413
"insurance policy"	0.0925488
"Treasury bond"	0.0904465
"pension fund"	0.0900625
bond	0.0889834
"profit sharing"	0.088592
saving	0.0875848
"money market"	0.0874722
"nest egg"	0.0856657
"credit card"	0.0856612
"stock option"	0.0855612
"airplane ticket"	0.0848657
"bank account"	0.0846846
profit-sharing	0.0844571
escrow	0.0841835
"Treasury bill"	0.0831409
banking	0.0830289
"Roth IRAs"	0.0829414
"real estate"	0.0827903
equity	0.0825577
dividend	0.0812195
"retirement benefit"	0.0797701
bonus	0.0789009
severance	0.0752764
payment	0.0751639
"common stock"	0.0740529
CD	0.0737012
"capital gain"	0.0735461
subscription	0.0733185
compensation	0.0733065
"prescription drug"	0.0728351
"bank deposit"	0.0726757
asset	0.072636
voucher	0.0694502
"child support"	0.0692145
premium	0.0689742
"social security"	0.0689208
"promissory note"	0.0687675
"Social Security benefit"	0.0680257
Tuition	0.0673008
"junk bond"	0.0670959
salary	0.066737
endowment	0.0660518
buyout	0.0657207
stipend	0.0656327
"social insurance"	0.0655994
K	0.0647965
"insurance premium"	0.0646578
derivative	0.0645461
payout	0.0645309
lease	0.0644188
deduction	0.0644052
fee	0.0641908
"tax credit"	0.0640022
"investment trust"	0.0639573
"investment portfolio"	0.0636996
"health care"	0.0636616
refund	0.0633671
retail	0.0633231
allowance	0.06315
"growth stock"	0.0631325
retirement	0.0628552
"pay raise"	0.0628151
"health benefit"	0.0623691
"tax deduction"	0.062301
IPO	0.0621143
"medical care"	0.0619827
copier	0.0618974
"small cap"	0.0617346
"equity fund"	0.0614071
holding	0.0608545
HDTV	0.0607422
incentive	0.0606337
condo	0.0605604
"phone service"	0.0604958
rebate	0.0604101
apparel	0.0602913
warranty	0.0597434
restitution	0.0595487
scholarship	0.0594934
"closed-end fund"	0.0594478
hardware	0.0592103
wage	0.0591967
Housing	0.0591741
postage	0.0591299
"computer hardware"	0.0590789
"insurance business"	0.0590437
"cash payment"	0.0587853
healthcare	0.05825
"sick leave"	0.0580968
"job security"	0.0579824
"season ticket"	0.0572424
"investment fund"	0.0571832
"hand-held computer"	0.057168
LIPITOR	0.0568804
"computer equipment"	0.0567991
pharmaceutical	0.0567714
"hearing aid"	0.0566331
payouts	0.0564273
brokerage	0.0563633
"personal computer"	0.0563456
"compensation package"	0.0561954
inheritance	0.0558829
paycheck	0.055764
"penny stock"	0.055757
"wage increase"	0.0557126
Advertising	0.0556419
jewelry	0.0555528
gratuity	0.0555356
lending	0.0553847
subsidy	0.0553217
"consumer electronics"	0.0552111
merchandise	0.0551909
"income tax"	0.0550396
payoff	0.0548494
medicare	0.0547501
PC	0.0547447
certificate	0.0547428
"annual payment"	0.0546462
coupon	0.0545351
"foreign exchange"	0.0544756
medical	0.054422
telephony	0.054347
"gross income"	0.0543246
"down payment"	0.0542212
"money order"	0.0540155
"pet food"	0.0540001
"software package"	0.0539579
Benex	0.0533108
"car insurance"	0.0529412
transaction	0.052933
"convertible bond"	0.0527492
lumber	0.0525634
"medical bill"	0.0525026
allotment	0.0524809
Epogen	0.0521979
checking	0.0520394
T-bonds	0.0518134
"securities market"	0.0516466
bribe	0.0513786
ESCALADE	0.0511605
"consumer goods"	0.050876
reimbursement	0.0508726
employment	0.0508566
TIAA-CREF	0.0507915
kickback	0.0506941
"phone bill"	0.0506063
wireless	0.0505524
Eurobonds	0.0505108
"tax break"	0.050466
"food stamp"	0.0497835
financing	0.0497665
"Windows @@@@"	0.0495847
"prescription medicine"	0.0493655
"Medicare HMO"	0.0493646
sponsorship	0.0493492
condominium	0.0492982
"telephone service"	0.0492642
treasury	0.0492215
sum	0.0492137
"preferred stock"	0.0490436
"insurance firm"	0.049028
"credit union"	0.0489966
"charge card"	0.04892
aerospace	0.0489075
"incentive program"	0.0488102
pricing	0.0487557
Medicaid	0.0487379
semiconductor	0.0486586
fidelity	0.0485327
savings	0.0483805
Roth	0.0483218
"tax cut"	0.0483032
"venture capital"	0.0482684
yearling	0.0481891
IOU	0.0481451
"personal loan"	0.0480765
))
(annulment (desc 4911.22) (sims
nullification	0.260943
revocation	0.143268
abrogation	0.117219
repeal	0.106033
dissolution	0.104472
rehearing	0.0992354
reinstatement	0.0984526
reconsideration	0.0968402
cancellation	0.0961534
scrapping	0.0949198
mistrial	0.0919703
renegotiation	0.0913218
postponement	0.0908071
termination	0.0903177
"election fraud"	0.0898842
disbarment	0.0874853
deletion	0.0847441
"summary judgment"	0.0839768
Dismissal	0.0837541
pardon	0.0828868
rejection	0.0786315
extradition	0.0780266
abolishment	0.0779355
imposition	0.0752862
legalization	0.0750678
removal	0.0746972
clemency	0.0737692
eviction	0.0736026
sacking	0.0734561
expulsion	0.0729773
revision	0.0729698
clarification	0.0717099
deferment	0.0705153
rigging	0.0700191
disqualification	0.0698023
promulgation	0.0679187
naturalization	0.0672947
legitimacy	0.0654127
abolition	0.065318
closure	0.0652623
applicability	0.0650916
adoption	0.064243
reevaluation	0.063564
renunciation	0.0634442
"stay of execution"	0.0634204
reversal	0.0632897
liquidation	0.061993
asylum	0.061539
"policy change"	0.0613166
finalization	0.0612154
"Chapter @@"	0.0611799
confiscation	0.0610126
arbitration	0.0602689
tabulation	0.0601988
deportation	0.0600868
validity	0.0596668
ouster	0.059042
ratification	0.0586924
"bankruptcy protection"	0.0584899
lifting	0.0582989
"wage increase"	0.0581028
polling	0.0580242
toppling	0.0578155
legality	0.057326
decertification	0.0572602
renewal	0.0567363
"power of attorney"	0.0566413
annexation	0.0566289
reestablishment	0.0565106
deferral	0.0562496
waiver	0.0559334
exclusion	0.0559201
downgrading	0.0556772
"change of direction"	0.0555913
nationalization	0.0553364
reorganization	0.0546876
retraction	0.0543938
disbanding	0.05346
injunction	0.0533138
"rate hike"	0.053125
absolution	0.0529291
amnesty	0.0528814
shake-up	0.0527506
forfeiture	0.0527032
"eminent domain"	0.052476
certification	0.0523158
incorporation	0.0520157
commutation	0.0514585
canonization	0.0512922
reassignment	0.0509892
redress	0.0508814
separation	0.050701
emancipation	0.0502914
receivership	0.0501452
reshuffle	0.0500693
abandonment	0.0495686
redefinition	0.0493714
clause	0.0493066
pullout	0.0493007
"legal status"	0.0492331
Acquittal	0.0488012
enactment	0.0487373
condemnation	0.0487275
"court martial"	0.0485311
commercialization	0.0483711
"police action"	0.0483212
wording	0.0482468
proclamation	0.0480021
"interest rate increase"	0.0475519
moratorium	0.04755
rollback	0.0472918
NLRB	0.047286
Tightening	0.0471841
awarding	0.0469763
reexamination	0.0469522
"rate rise"	0.0468748
reopening	0.0464022
confirmation	0.0463992
counting	0.0460902
renomination	0.0459668
divestment	0.0459494
intercession	0.045936
acknowledgement	0.0457996
leniency	0.0455869
"change of mind"	0.0450319
realignment	0.0449734
"engine failure"	0.0446073
writ	0.0445676
manipulation	0.0444289
"search warrant"	0.0443665
easing	0.0443404
upshot	0.0441712
spate	0.044159
invocation	0.0441135
relaxation	0.0440461
modification	0.0440431
reassessment	0.0437487
easement	0.043556
suppression	0.043549
loosening	0.043486
breakup	0.043473
Constitutionality	0.0431383
secession	0.04301
reappointment	0.0429789
visitation	0.0428234
Cessation	0.0428026
shutdown	0.0426996
abdication	0.0425214
"job cut"	0.0424938
"Chapter @"	0.0424469
expropriation	0.0423741
jailing	0.0421715
"management change"	0.0420583
demise	0.0420575
expiration	0.0420468
dollarization	0.0420351
"spending cut"	0.041946
shakeup	0.0419069
atonement	0.0416927
escalation	0.0414959
"price increase"	0.0414696
sacrament	0.0414482
residual	0.0414275
revaluation	0.041312
continuance	0.0412276
closings	0.0411381
candidature	0.0410666
disbandment	0.0410466
"rate increase"	0.041022
readmission	0.0408917
phaseout	0.0408452
judgement	0.0408284
misinterpretation	0.0407927
reimbursement	0.0407398
de-escalation	0.0405844
narrowing	0.0404279
"name change"	0.0402872
guardianship	0.0402404
censorship	0.0402274
mushrooming	0.0401664
disintegration	0.040116
))
(annum (desc 6926.98) (sims
"growth rate"	0.0656148
tonne	0.0648193
capita	0.0648021
"eight percent"	0.0626744
"five percent"	0.0593593
"six percent"	0.056868
"U.S. Dollars"	0.0556712
"about @.@ percent"	0.0515364
GDP	0.0507291
year-on-year	0.0505688
"one billion US dollars"	0.0500356
mw	0.0494745
"one percent"	0.049442
bpd	0.0482977
"four percent"	0.047923
"gross domestic product"	0.0468588
"one billion dollars"	0.0443404
"inflation rate"	0.0433345
"basis point"	0.0423258
"square foot"	0.0421921
"rate of growth"	0.0420075
"seven percent"	0.0414878
))
(anomaly (desc 12511.3) (sims
aberration	0.145642
fluke	0.112415
abnormality	0.111343
discrepancy	0.107423
irregularity	0.100181
deficiency	0.100164
oddity	0.100124
inequity	0.0978965
defect	0.0903585
malformation	0.0902493
flaw	0.0880355
phenomena	0.0869669
distortion	0.0859583
inconsistency	0.0856999
blip	0.0851818
contradiction	0.0846169
imbalance	0.0828654
inaccuracy	0.0811337
deformity	0.080957
shortcoming	0.0797635
variability	0.0786109
quirk	0.0784808
hiccup	0.0778757
disparity	0.0770114
misunderstanding	0.0757687
phenomenon	0.0756355
slippage	0.075183
malpractice	0.0745079
omission	0.072207
deviation	0.0708968
weakness	0.0701456
lapse	0.0700636
blunder	0.0698824
injustice	0.0694285
coincidence	0.0693064
bottleneck	0.069117
inefficiency	0.0688195
leakage	0.0686034
absolutes	0.0683772
gaffe	0.0679963
"safety problem"	0.0678124
loophole	0.0676849
reversal	0.0676484
glitch	0.0673428
anticlimax	0.067227
inequality	0.0668038
rupture	0.0667144
misstep	0.0666063
anachronism	0.0662789
snag	0.06603
rarity	0.0658426
"health problem"	0.0656145
handicap	0.0652249
impropriety	0.0649859
ambiguity	0.0649575
variation	0.064892
"success story"	0.0643814
disadvantage	0.0642478
similarity	0.0642448
"accounting problem"	0.0641271
error	0.0638773
disruption	0.0637987
"sour grapes"	0.0636768
breach	0.0635432
misnomer	0.0631364
malfunction	0.0630951
laggard	0.0630132
milestone	0.0627872
breakdown	0.0625414
paradox	0.0625376
mistake	0.0622451
fluctuation	0.0620975
pattern	0.0620846
disturbance	0.0618153
violation	0.0617565
conundrum	0.0615683
mishap	0.0614518
impediment	0.0610043
"side effect"	0.0609339
letdown	0.0608436
"power failure"	0.0607934
"weak point"	0.0605792
distraction	0.0605738
catastrophe	0.0602255
misconception	0.0601538
void	0.0600822
outages	0.059896
"liquidity problem"	0.0597599
"small change"	0.0595939
wrinkle	0.0595864
tradeoff	0.0595709
irritant	0.0594619
divergence	0.0591201
malady	0.0591084
foul-up	0.0590978
modification	0.0587303
erosion	0.0585532
overstatement	0.0584784
sideshow	0.0582154
vacuum	0.0581193
setback	0.0579034
mix-up	0.0578072
outcast	0.0577664
"turning point"	0.0575896
myopia	0.0568096
calamity	0.0567863
infraction	0.0567456
trend	0.0567263
alteration	0.0565545
dilemma	0.0565203
overvaluation	0.0562367
overlap	0.0560616
hardship	0.0560408
misstatement	0.0560141
miscarriage	0.0560049
novelty	0.0559631
"cash crunch"	0.0553005
trait	0.0552368
afterthought	0.0551335
"sleight of hand"	0.0550306
Limitation	0.0549432
ailment	0.0547974
taboo	0.0547081
"state of affairs"	0.0546181
fad	0.0545849
fraud	0.0545799
embarrassment	0.0545044
blockage	0.0544609
mutation	0.0543449
slowdown	0.0543302
breakthrough	0.0542806
"risk factor"	0.0542574
shortfall	0.0542126
"identity crisis"	0.0541796
disorder	0.0541624
constraint	0.0541174
hoax	0.0537641
"double standard"	0.0535724
shakeout	0.0534999
exaggeration	0.0534783
oscillation	0.0534775
"trade barrier"	0.0533575
turnabout	0.053349
gap	0.0532224
"difference of opinion"	0.0532187
downturns	0.0531336
lesion	0.0530894
obstacle	0.0530877
redundancy	0.0530804
tragedy	0.0530084
inversion	0.0530056
"heart condition"	0.0530026
side-effects	0.0529389
epidemic	0.052894
adjustment	0.0528887
impairment	0.0528549
disaster	0.0526852
"stumbling block"	0.0524358
bias	0.0524279
dislocation	0.0523814
has-been	0.0522831
infringement	0.0522228
downturn	0.0521312
difficulty	0.0520005
inconvenience	0.0519287
turbulence	0.0519014
irony	0.0517864
complication	0.0517683
rigidity	0.0517223
windfall	0.0516671
tendency	0.0513884
hotspots	0.0513761
indication	0.051343
updraft	0.0513084
enigma	0.051112
diversion	0.0510962
deterioration	0.0510935
drawback	0.0510784
miracle	0.0508805
variable	0.050876
duplication	0.0508698
uproar	0.0508361
overcapacity	0.0506748
characteristic	0.0506663
trauma	0.0506437
pitfall	0.0506166
hazard	0.050499
hyperbole	0.0504849
blemish	0.0504831
influence-peddling	0.0504499
contamination	0.0503926
consequence	0.0503809
occurrence	0.0501925
dysfunction	0.0501809
scam	0.0501675
backsliding	0.0500797
confusion	0.050074
symptom	0.0500388
misconduct	0.0500106
commotion	0.0499906
))
(anonymity (desc 18715) (sims
confidentiality	0.126811
Privacy	0.12235
secrecy	0.10075
leniency	0.0985447
immunity	0.0811571
convenience	0.0810086
obscurity	0.0808665
solitude	0.0751406
freedom	0.0708744
dignity	0.0657607
protection	0.0612725
"medical record"	0.0612588
asylum	0.0601566
comfort	0.0601091
"job security"	0.0597522
availability	0.0592429
identity	0.0591131
tranquility	0.0588802
Openness	0.0588489
flexibility	0.0581372
"legal right"	0.057754
safety	0.057098
privilege	0.0567012
"civil liberty"	0.0559421
immediacy	0.055261
autonomy	0.0552605
forgiveness	0.0552298
reliability	0.0552202
pardon	0.0549621
citizenship	0.0547712
silence	0.0545856
simplicity	0.0544423
affordability	0.0536345
equality	0.0535861
Liberty	0.0534921
stability	0.0534334
diversity	0.0529393
Encryption	0.0522477
continuity	0.0511903
"tax break"	0.0503718
independence	0.0500813
isolation	0.0498229
loyalty	0.049739
integrity	0.0495157
candor	0.0492948
assurance	0.0492928
accountability	0.0492012
Innocence	0.0486613
"pay raise"	0.0480666
clemency	0.0480396
intimacy	0.0476615
"peace of mind"	0.0474426
fulfillment	0.0473944
identification	0.0473296
serenity	0.0468827
acceptance	0.0468759
oblivion	0.0468681
impunity	0.0468036
sovereignty	0.0466421
remoteness	0.0465692
bandwidth	0.0462379
darkness	0.0462127
infusion	0.0461927
clarity	0.0460577
wealth	0.0458872
disclosure	0.0457181
riches	0.0456604
discretion	0.045578
existence	0.0454342
happiness	0.0450386
"name and address"	0.0449579
uniqueness	0.0448539
neutrality	0.0448319
tranquillity	0.0445932
"quality of life"	0.0445662
harmony	0.0444268
separation	0.0443342
"retirement benefit"	0.044276
"freedom of religion"	0.0442243
"freedom of the press"	0.0439931
mobility	0.0437984
transparency	0.043649
exclusivity	0.0435656
representation	0.0435411
decorum	0.0435304
sanity	0.0433929
permission	0.0433498
efficiency	0.0433395
mistrial	0.0433269
ignorance	0.0432723
"freedom of speech"	0.0431046
"right to privacy"	0.0430924
retrial	0.0427337
modesty	0.0425715
prosperity	0.0425346
legitimacy	0.0424792
password	0.0424361
documentation	0.0424017
well-being	0.0423751
certainty	0.0423531
capability	0.0422771
restraint	0.042128
recognition	0.042019
waiver	0.0419203
mercy	0.0419046
popularity	0.0418918
closeness	0.0418564
unity	0.0418485
"property right"	0.0418361
purity	0.0417983
homepage	0.0417177
reprieve	0.0417069
invincibility	0.041676
financing	0.0414946
normalcy	0.0413389
censorship	0.0413082
reciprocity	0.0412415
registration	0.0410344
moratorium	0.0410187
civility	0.0409343
compliance	0.0408691
exemption	0.040778
vacuum	0.0407508
consistency	0.0406622
directory	0.0406389
governance	0.0405897
"fresh start"	0.0405383
honesty	0.0405367
fairness	0.040378
"financial aid"	0.040306
objectivity	0.040165
squalor	0.0401222
))
(anorak (desc 1271.79) (sims
pullover	0.170103
camisole	0.136214
tunic	0.131895
parka	0.130703
blouse	0.126455
"combat boot"	0.124543
bustier	0.119943
turtleneck	0.114727
halter	0.113776
sweater	0.110207
slacks	0.109453
"ball gown"	0.109032
bodice	0.108645
vest	0.108383
trousers	0.107646
windbreaker	0.107479
Poncho	0.107428
"sweat pants"	0.107373
"evening dress"	0.106866
"polo shirt"	0.102751
"pants suit"	0.102055
miniskirts	0.101973
trouser	0.094969
sandal	0.0943795
"cocktail dress"	0.0939839
capris	0.0937126
pants	0.0926819
cardigan	0.0910907
Pantsuits	0.089788
pantsuit	0.0891937
"evening gown"	0.0866257
tulle	0.0845497
"sport shirt"	0.0842538
slicker	0.0829557
scarf	0.0824751
"place mat"	0.0808154
satin	0.0784812
bra	0.0777241
raincoat	0.0765384
sweatshirt	0.0757137
sneaker	0.0737216
overcoat	0.0728913
jumpsuit	0.0726691
panty	0.0725023
khaki	0.0723166
undershirt	0.0710078
slipper	0.0702844
taffeta	0.0702632
shawl	0.0697924
"leather jacket"	0.0695828
neckline	0.0687021
chiffon	0.0685182
"baseball cap"	0.067971
"blue jean"	0.0677243
petticoat	0.0674162
embroidery	0.0667937
frock	0.0665858
brassiere	0.0664015
"evening bag"	0.0661815
shorts	0.0660783
"top hat"	0.0652882
bikini	0.0649639
"ski mask"	0.0647565
"tennis shoe"	0.0612342
underpants	0.0610203
"bow tie"	0.0604585
mitten	0.0602733
"dress shirt"	0.0594907
loafer	0.0592426
Thong	0.0590232
plaid	0.0589906
nightgown	0.0586566
satchel	0.0580305
bandanna	0.0574182
kimono	0.0570849
"hot pants"	0.0563678
sheath	0.0553381
crepe	0.0542884
"rubber boot"	0.0541729
pajama	0.0539017
Sari	0.0529506
"fishing line"	0.0528302
pleat	0.0516889
tarpaulin	0.0514614
flatware	0.0512954
"bathing suit"	0.0512869
fedora	0.0512027
nylon	0.050786
pouch	0.0507403
beret	0.0507281
bathrobe	0.0499713
sarong	0.049493
"Honda Civic"	0.049421
suspender	0.0486772
"trench coat"	0.0483356
leotards	0.0478773
corset	0.0469056
eyeglasses	0.0468262
bloomers	0.0466327
legging	0.0465048
brocade	0.0463611
four-door	0.0463136
turban	0.0461512
snowshoes	0.0460469
mohair	0.0460409
teddy	0.0459259
lingerie	0.0457774
tights	0.0456743
netting	0.0449286
G-string	0.0445053
piping	0.0441881
upholstery	0.0435331
eyeliner	0.0433573
"life preserver"	0.0429908
bib	0.042923
"coffee mug"	0.0427275
tweed	0.0426983
"body armor"	0.0424486
sideburn	0.04239
"book bag"	0.04231
sequin	0.0419288
two-seater	0.041701
headband	0.0410875
Marlboros	0.0405541
"Little Dog"	0.0404821
pompadour	0.0403585
cladding	0.0400546
"felt hat"	0.0400225
))
(anorexia (desc 2599.04) (sims
bulimia	0.226625
"memory loss"	0.153304
"skin rash"	0.145476
insomnia	0.127936
Osteoporosis	0.117524
"panic attack"	0.114817
vomiting	0.114536
"rheumatoid arthritis"	0.111659
lupus	0.106219
dementia	0.106129
"drug addiction"	0.106026
dizziness	0.105514
"manic depression"	0.105427
glaucoma	0.102874
jaundice	0.102223
schizophrenia	0.100778
nausea	0.0991251
disorder	0.0974395
epilepsy	0.0969647
stomachache	0.0945506
arthritis	0.0932277
palpitation	0.0913398
constipation	0.0909488
"kidney disease"	0.0908316
hepatitis	0.0906464
"bipolar disorder"	0.0904719
Depression	0.0897159
apnea	0.0890735
irritability	0.0883841
shortness	0.087969
"upset stomach"	0.0876188
"Parkinson's disease"	0.0865028
osteoarthritis	0.0860295
asthma	0.0835488
"eye disease"	0.0831337
"mental illness"	0.0816193
diarrhea	0.0811635
"heart disease"	0.0774065
hypertension	0.0765614
impotence	0.0764868
"cystic fibrosis"	0.0761581
"back pain"	0.0753263
syndrome	0.0746867
dehydration	0.0742971
hyperactivity	0.0742174
"high blood pressure"	0.074066
infertility	0.0738161
malady	0.0737749
ailment	0.0734557
incontinence	0.0730331
"sore throat"	0.072744
"cardiovascular disease"	0.0725623
autism	0.0718486
cataract	0.071831
"substance abuse"	0.0717709
Psychosis	0.0714772
"anxiety disorder"	0.0714276
ulcer	0.0712835
indigestion	0.0711253
tiredness	0.0701811
nosebleed	0.0698242
"congestive heart failure"	0.0697771
"acquired immune deficiency syndrome"	0.0696773
Alzheimer	0.0695414
"multiple sclerosis"	0.0692931
nearsightedness	0.0689052
Obesity	0.0681624
"cerebral palsy"	0.0679793
cirrhosis	0.067913
drowsiness	0.0678448
"chest pain"	0.067844
angina	0.0678416
"venereal disease"	0.0677073
"mental disorder"	0.0672662
anemia	0.0667109
Parkinson's	0.0664791
diabetes	0.0663731
cramp	0.0662375
"hot flash"	0.0659883
lymphoma	0.0658979
"sexually transmitted disease"	0.0657659
emphysema	0.065508
dysfunction	0.0651335
bronchitis	0.0649785
phobia	0.0639396
dyslexia	0.0638527
Addiction	0.0637315
leukemia	0.0636544
frostbite	0.0632263
"writer's block"	0.0630185
hemophilia	0.0623127
"respiratory disease"	0.0623025
relapse	0.0617725
vertigo	0.06168
heartburn	0.0613729
tuberculosis	0.0608751
"skin cancer"	0.0598113
"lead poisoning"	0.0597252
allergy	0.0590248
deafness	0.0589773
"drug abuse"	0.0577188
"liver disease"	0.057396
"alcohol abuse"	0.0572225
pneumonia	0.0571938
STDs	0.0570837
"dengue fever"	0.0570111
diarrhoea	0.0568403
carcinoma	0.0567025
"heat exhaustion"	0.0566709
"feminist movement"	0.0557386
narcolepsy	0.0548375
Alcoholism	0.0547124
"hay fever"	0.0546545
acne	0.0542766
coughing	0.0541009
impairment	0.0539826
atherosclerosis	0.0530677
paralysis	0.0529651
promiscuity	0.0529369
inhalation	0.0523128
malaise	0.0520924
gastroenteritis	0.0520422
numbness	0.0519457
whiplash	0.0511987
Meningitis	0.051118
disorientation	0.0510763
Exhaustion	0.0508757
malformation	0.0504463
"heart failure"	0.0501479
"lung cancer"	0.0493839
Burnout	0.0490615
hallucination	0.0490564
convulsion	0.0488897
ADHD	0.0487026
sedative	0.0486617
intoxication	0.0485882
restlessness	0.0483153
"blood clot"	0.0482896
loneliness	0.0481279
"colon cancer"	0.0478022
lethargy	0.0477383
"skin disease"	0.0477289
farsightedness	0.0472299
"food poisoning"	0.0471354
hernia	0.0469719
"malignant tumor"	0.0467348
"heroin addiction"	0.0465627
psoriasis	0.0462437
Dysentery	0.0462413
hypothermia	0.0459472
reflux	0.0455552
retardation	0.0455452
swelling	0.0455148
"neurological disorder"	0.0452044
abnormality	0.0448895
blindness	0.0447334
"genetic disease"	0.0446204
sweating	0.0444339
typhoid	0.0443765
deflation	0.0443735
myopia	0.044206
"blood pressure"	0.044011
side-effects	0.0440074
"neurological disease"	0.0438688
cholera	0.0438502
migraine	0.0438443
Eco-tourism	0.0433628
"hepatitis B"	0.0433295
sterility	0.0432758
leprosy	0.0431207
urination	0.0430846
"heart condition"	0.0427938
hemorrhage	0.0427834
"muscular dystrophy"	0.0426224
inflammation	0.042377
"infectious disease"	0.0420129
delirium	0.0419924
chickenpox	0.041754
spleen	0.0407
Dengue	0.0405199
degeneration	0.0401447
melanoma	0.0400091
))
(another (desc 115986) (sims
other	0.0859581
next	0.0855263
that	0.0804516
it	0.0740249
two	0.0688345
others	0.0670581
this	0.0642809
you	0.0642478
ones	0.062262
someone	0.0613162
some	0.0612562
her	0.0605691
his	0.0597968
he	0.0587499
people	0.0580468
man	0.0578704
him	0.0563758
them	0.0559715
Three	0.0559311
something	0.0554246
they	0.0552753
person	0.0552317
first	0.0549779
"another one"	0.0545651
who	0.0540182
woman	0.0535136
rest	0.0534475
those	0.0522018
couple	0.051032
thing	0.0507709
we	0.0504114
any	0.0503074
four	0.0502081
me	0.0496601
child	0.0494635
group	0.0493808
company	0.0492397
number	0.0492052
many	0.0491546
player	0.0490787
dozen	0.048903
what	0.0487183
mother	0.0486122
I	0.0484979
kind	0.0482288
second	0.0480945
lot	0.0480803
she	0.0477154
guy	0.0476505
"each other"	0.0471667
anything	0.0470971
student	0.0468692
father	0.0466293
third	0.0466109
anyone	0.0464724
husband	0.0461108
Five	0.0460791
us	0.0460293
everyone	0.0455853
"one another"	0.0454042
American	0.0454031
their	0.0453977
reality	0.0452675
Bush	0.0452217
reason	0.045075
family	0.0447444
seven	0.0443896
each	0.0443449
government	0.0441888
boy	0.0439666
Clinton	0.043891
hundred	0.0438783
fact	0.0438768
business	0.0438523
himself	0.0438066
movie	0.0435536
life	0.043526
eight	0.0434236
side	0.043387
somebody	0.0433282
pair	0.0433125
anybody	0.0432572
film	0.0429386
gore	0.042876
President	0.0425164
Computer	0.0424816
right	0.0424289
series	0.0424269
site	0.0423586
brother	0.0423581
character	0.0423467
patient	0.0423165
member	0.0422724
its	0.0422662
problem	0.0420403
car	0.0419068
story	0.0417168
wife	0.0417068
attempt	0.0415199
son	0.0414805
world	0.0414606
victory	0.0414577
Six	0.0414364
school	0.0413333
generation	0.0413055
no	0.041292
half	0.040961
soldier	0.0409223
event	0.040876
parent	0.0408414
party	0.0408371
opponent	0.0408103
driver	0.040755
girl	0.0407485
officer	0.0407363
worker	0.0407261
China	0.0405565
everything	0.0405555
shot	0.0405387
daughter	0.0405116
measure	0.0404826
version	0.0403502
public	0.0403272
individual	0.0402704
case	0.0402664
"a few"	0.0402123
neighbor	0.0401211
nothing	0.0400874
which	0.0400844
goal	0.0400834
leader	0.0400789
our	0.0400781
customer	0.0400524
thousand	0.0400313
yourself	0.0400188
))
("another @" (desc 1025.54) (sims
"more than eight"	0.183556
"another four"	0.155739
"another @-pointer"	0.144508
three-pointer	0.143033
"nearly three"	0.131797
"another five"	0.129825
"nearly four"	0.126532
"almost two"	0.125924
"about eight"	0.121418
"almost @"	0.120666
"two to three"	0.119983
"up to @"	0.119095
"more than five"	0.118249
"another nine"	0.111994
"Another two"	0.110318
"three @-pointers"	0.107001
"about @.@"	0.10443
"more than six"	0.10355
"another seven"	0.103199
"nearly @"	0.102572
"first @"	0.101612
"another three"	0.100832
"more than seven"	0.100338
"over six"	0.0991262
"three to five"	0.0986013
"up to three"	0.0982405
"Nearly two"	0.0974699
"two to four"	0.0973588
"more than three"	0.0968194
"Less than one"	0.0934983
"three to four"	0.0920352
three-pointers	0.0916595
putback	0.0915175
"more than @"	0.0901974
"foul shot"	0.08929
"seven to @@"	0.08928
"four to five"	0.0878432
"about six"	0.0874061
"two baskets"	0.0871144
"more than four"	0.086843
"another @@"	0.0852012
"up to four"	0.0851928
"less than @"	0.0851416
"another six"	0.0850264
"ten thousand"	0.0849947
"over @"	0.0846502
"about @"	0.0828463
"over four"	0.0813426
"over five"	0.0810709
"less than five"	0.0803065
Trey	0.0801007
"two @-pointers"	0.0799707
"about three"	0.0795252
"three cents"	0.0794968
"less than two"	0.0789421
"hook shot"	0.0788844
"roughly @@@"	0.0769895
"almost @@"	0.0766449
"over seven"	0.0760173
"about five"	0.0759332
"about four"	0.0759044
"nine cents"	0.0752141
"first @@@"	0.0752105
"gas pedal"	0.0750732
"two cents"	0.0744172
"about @@@ points"	0.0728352
"about nine"	0.0723659
"five to @@"	0.0722078
"up to five"	0.0719266
"about @@ points"	0.0718694
"Another @,@@@"	0.0718123
"close to @@@"	0.0714777
"less than @@@"	0.0712341
"a few million dollars"	0.0711248
"chip shot"	0.0711181
forty	0.0709637
"More than two"	0.0709079
"nearly @@@ million"	0.0708926
"close to @@"	0.070668
"almost @@@,@@@"	0.0705971
"up to @,@@@"	0.0699748
"about seven"	0.0696351
"eight cents"	0.0694153
"almost @@@"	0.0690297
"up to @@@,@@@"	0.0688142
"seventh homer"	0.0685026
"roughly @@"	0.0679976
"up to two"	0.0673824
"six billion"	0.0667887
"bank shot"	0.0667726
"nearly @@@,@@@"	0.0657321
"Another eight"	0.0656447
"about @@ to @@"	0.0650198
"up to eight"	0.064211
"four to six"	0.0641614
"up to @@,@@@"	0.0641109
"less than @@,@@@"	0.0639105
"eighth homer"	0.0638204
"up to @@ million"	0.063366
equaliser	0.0633335
airball	0.0633284
Longo	0.0632885
"three million"	0.0632463
"one cent"	0.0629535
"almost $@ billion"	0.06263
"third homer"	0.061884
"eight to @@"	0.0618309
"roughly @@,@@@"	0.0616179
Forty-seven	0.0614189
MBNA	0.0613078
"about @.@ billion"	0.0611835
twenty-eight	0.0611743
"another @@@,@@@"	0.061004
"almost @,@@@"	0.0608224
"More than three quarters"	0.0607392
"a few points"	0.0601855
"Mike Cloud"	0.0601519
Forty-five	0.0593982
"nearly @,@@@"	0.0589723
"Kuwait Stock Exchange"	0.0587045
"close to @,@@@"	0.0584301
"five cents"	0.0583439
"nearly @@@ points"	0.0581958
"Le Defi Francais"	0.0581846
Schoeneweis	0.0579999
"RJR Nabisco"	0.057764
"sixth homer"	0.0577437
buzzer-beater	0.0572828
"jump shot"	0.0572758
"up to six"	0.0570398
"Another @@@"	0.0568106
eighty	0.0562198
"rough water"	0.0560282
"more than @@@ points"	0.0555721
floater	0.0555177
"nearly one million"	0.0551933
"six to @@"	0.0550221
"four @-pointers"	0.0548325
"market average"	0.0547769
"More than nine"	0.0543526
tip-in	0.054205
"over @@@ points"	0.0539952
"break of serve"	0.0537851
CEC	0.0534746
"fifth homer"	0.0534741
"Stock Exchange of Thailand"	0.0532959
"Two hundred"	0.0530526
"other @@@"	0.052876
"roughly @,@@@"	0.0526541
"six to eight"	0.0524609
"over @@@,@@@"	0.052398
"About @ billion"	0.0522895
Thirty-eight	0.0521129
BSE-@@@	0.0520464
"Norm Maracle"	0.0516463
Emulex	0.0514847
"million over five years"	0.0513584
slapper	0.0511357
wrongdoer	0.0510761
"Rick White"	0.050823
"Bausch &AMP; Lomb"	0.0507954
"more than @ billion"	0.0507509
SkyTel	0.0505209
webcams	0.050058
"nearly @@ points"	0.0499371
jumpers	0.0496146
"catalytic converter"	0.0495359
backhander	0.0494637
"about @@@ to @@@"	0.049294
"Gillette Co."	0.049061
"South African Airways"	0.0489946
"less than @,@@@"	0.0489544
Autodesk	0.0489362
C-@@@	0.0487249
JAT	0.0486773
Meissnitzer	0.0484833
"more than one million"	0.0484447
Pairgain	0.048357
"more than @.@ percent"	0.0483407
"U.S. Trust"	0.0482149
Imperatori	0.0481495
"about @.@@"	0.047992
Weyerhaeuser	0.0479395
"almost @@,@@@"	0.0476108
Fourteen	0.0476013
"almost @ million"	0.0473226
Thirty	0.047316
"one million dollars"	0.047301
"Steve Shields"	0.0468148
"a few pounds"	0.0467993
"up to @@@"	0.0466581
"almost $@@@ million"	0.0466525
Thirty-three	0.0462889
"Malik Sealy"	0.0462378
"more than ten"	0.0460892
heartbreaker	0.0458397
"emergency exit"	0.0458246
"beer drinker"	0.0455646
"deficit spending"	0.045535
"John Connally"	0.0455223
))
("another @ million" (desc 885.951) (sims
"another @.@ million"	0.244844
"Another @@ million"	0.241251
"another @@@,@@@"	0.228632
"over @.@ million"	0.213707
"up to @@ million"	0.212368
"About @ billion"	0.210965
"another @@@ million"	0.207563
"About three million"	0.206001
"nearly @@ million"	0.204035
"Seven million"	0.202806
"Over one million"	0.202329
"More than two million"	0.201418
"three million"	0.200491
"eight million"	0.198398
"more than one million"	0.18993
"up to @@@,@@@"	0.184995
"six million"	0.184022
"roughly @@@,@@@"	0.183962
"Nearly @.@ million"	0.181677
"five million"	0.180247
"Four million"	0.179109
"More than three million"	0.178876
"more than @.@@ million"	0.178722
"nine million"	0.17804
"over @ million"	0.177678
"over @@@ million"	0.175046
"nearly @@@,@@@"	0.172814
"almost @@ million"	0.172208
"About @.@@ million"	0.167271
"More than @.@ million"	0.165999
"two million"	0.165683
"nearly @ million"	0.161769
"more than @ million"	0.160963
"About one million"	0.160104
"nearly one million"	0.159483
"Over two million"	0.158411
"more than @@ billion"	0.158001
"over @@ million"	0.155012
"over @.@@ million"	0.154777
"two billion"	0.154534
"about @ million"	0.150918
"more than @@@ million"	0.15052
"up to @@,@@@"	0.149842
"over @@@,@@@"	0.149333
"Another @,@@@"	0.149185
"almost @@@,@@@"	0.148848
"nearly @@@ million"	0.145886
"more than @@ million"	0.145392
"about @.@ million"	0.1425
"almost @ million"	0.142232
"more than @.@ billion"	0.142069
"another @@,@@@"	0.136692
"up to @ million"	0.136584
"almost @@,@@@"	0.136257
"One Million"	0.135038
"about @.@ billion"	0.130816
"more than @@@,@@@"	0.130124
"about @@@ million"	0.129583
"about @@ billion"	0.129074
"ten thousand"	0.128084
"about @@ million"	0.126857
"over @@,@@@"	0.125566
"about @@.@ million"	0.123174
"one billion"	0.122613
"About two million"	0.121678
"nearly @,@@@"	0.120639
"up to @,@@@"	0.118526
"about nine"	0.116486
"almost @,@@@"	0.115328
"nearly @@,@@@"	0.114328
"Kosovar Albanian"	0.113975
"close to @,@@@"	0.110486
"first @@@"	0.108476
"close to @@,@@@"	0.103423
"about @@@,@@@"	0.102479
"about @@,@@@"	0.10008
"over @,@@@"	0.0972248
"roughly @,@@@"	0.0959622
Lileikis	0.094184
Hmong	0.0913333
"more than four million"	0.0907719
"less than @@,@@@"	0.0907167
"five to @@"	0.0873761
"Russian Jews"	0.0872402
"up to @@@"	0.0870714
"almost @@@"	0.086169
Thirty-eight	0.085327
"another six"	0.0850812
"up to six"	0.0834032
"another five"	0.0822533
"Three hundred"	0.0818855
"more than seven"	0.0812269
"more than @ billion"	0.0809512
"other @@@"	0.0808493
"about @@@ to @@@"	0.0791661
"more than @@@@"	0.079107
Thirty-nine	0.0789834
Kosovar	0.0776287
"roughly @@,@@@"	0.0773555
"more than six"	0.0764249
"up to four"	0.0761389
"six billion"	0.0758037
"South Vietnamese"	0.0732425
"roughly @@@"	0.0727853
"up to three"	0.0712506
"six to eight"	0.0706096
Ingush	0.0703933
"close to @@@"	0.0701735
"Three billion"	0.0677144
"Around @@@"	0.067293
Thirty-six	0.0670601
"two dozen"	0.0661029
Bataan	0.0654839
"another seven"	0.0652708
"Two hundred"	0.0648132
Thirty-three	0.0646377
"Around @@"	0.0642445
Rwandese	0.0640099
"Another eight"	0.0638933
"another three"	0.0638643
"about @.@"	0.0634716
Duvalier	0.063356
Thirty	0.0633078
Timorese	0.0632257
"another nine"	0.0630206
"about six"	0.0626821
"Nearly two"	0.062673
"Another @@@"	0.0625142
"Patty Hearst"	0.0620969
"Iraqi Kurds"	0.0619672
"less than @@@"	0.0615927
Okinawan	0.0615121
"about @@-@@"	0.0613975
Forty-seven	0.0611873
Forty-four	0.0609717
"robbery suspect"	0.0597971
"more than ten"	0.059683
Fifteen	0.059514
Belarusian	0.0594537
"roughly @@"	0.0591514
Maasai	0.0577329
Sixteen	0.0572538
"close to @@"	0.0563962
"six to @@"	0.0563054
"three to four"	0.0556509
Nineteen	0.0555575
"North Africans"	0.0555019
"about seven"	0.0552978
"Albanian Kosovars"	0.0550993
"right whale"	0.0548855
"more than three"	0.0544628
Twelve	0.0537903
"Ethnic Albanian"	0.0535786
Chicagoans	0.052941
"two to three"	0.0526414
Eighteen	0.0525842
Thirty-one	0.0519542
lakh	0.0516793
Sinhala	0.0513506
Fifty	0.0512483
Thirty-five	0.0511831
"over one third"	0.0511357
"turning away"	0.0511165
"Kosovo Serbs"	0.0509213
"about @@ to @@"	0.050586
Netcom	0.0505761
forty	0.0505236
Hotmail	0.050493
Tajik	0.0504271
"up to seven"	0.0498104
widget	0.0497208
seventy	0.0495634
Thirty-four	0.0494847
sixty	0.0492416
WebTV	0.0488736
"more than five"	0.0482087
SIDS	0.0481945
"more than eight"	0.0481827
"mentally retarded"	0.0481177
"Kosovo Albanian"	0.0478758
"Medicare HMO"	0.0473817
Baez	0.0471708
Brunner	0.0471014
Chinese-Indonesians	0.0467792
"less than @,@@@"	0.046715
Sheinbein	0.046544
"Bosnian Muslim"	0.0461888
"Al Capone"	0.0461786
Shayler	0.0459186
"about eight"	0.0457118
Navajo	0.045603
"smart money"	0.0454992
Bosnians	0.045422
NetZero	0.0453874
"less than @"	0.0450609
Puzo	0.0448615
manatee	0.044854
Camerounian	0.0448345
Fifty-five	0.044828
"up to two"	0.0445798
))
("Another @,@@@" (desc 5716.79) (sims
"another @@,@@@"	0.230738
"Another @@@"	0.22169
"nearly @,@@@"	0.211703
"up to @@,@@@"	0.202931
"nearly @@,@@@"	0.201575
"another @@@,@@@"	0.199581
"nearly @@@,@@@"	0.187676
"over @@,@@@"	0.18594
"over @,@@@"	0.181533
"more than @@@,@@@"	0.178488
"almost @@,@@@"	0.174226
"up to @,@@@"	0.173627
"more than @,@@@"	0.17353
"more than @@,@@@"	0.170091
"over @@@,@@@"	0.166049
"almost @@@,@@@"	0.16479
"About @,@@@"	0.164669
"close to @,@@@"	0.164095
"about @@,@@@"	0.163677
"almost @,@@@"	0.162254
"up to @@@,@@@"	0.159697
"more than one million"	0.15444
"another @@"	0.154308
"nearly @@@"	0.150945
"another @ million"	0.149185
"about @@@"	0.14704
"roughly @,@@@"	0.145903
"close to @@,@@@"	0.144518
"Over one million"	0.142761
"roughly @@@,@@@"	0.142099
"over @@@"	0.140568
"More than two million"	0.139738
"More than three million"	0.139459
"about @@@,@@@"	0.138895
"more than @@@"	0.134515
"almost @@@"	0.13448
"nearly @ million"	0.132071
"More than @.@ million"	0.13066
"About one million"	0.130203
"three million"	0.129813
"over @.@ million"	0.129741
"Over two million"	0.129689
"About three million"	0.127381
"Two hundred"	0.127073
"more than @ million"	0.126791
"nearly one million"	0.126174
"Three hundred"	0.126082
"another six"	0.125425
"roughly @@,@@@"	0.125414
"about @.@ million"	0.120691
"One Million"	0.119188
"another three"	0.118626
"other @@@"	0.11855
"Around @@"	0.11842
"Around @@@"	0.118235
"another seven"	0.117621
"about @@@ to @@@"	0.116952
"Nearly @.@ million"	0.116714
"two million"	0.116401
"over @ million"	0.115959
"close to @@@"	0.11574
"more than @@ million"	0.115249
"Another two"	0.114539
"five million"	0.114053
"roughly @@@"	0.113861
"Four million"	0.113848
"over @.@@ million"	0.113819
"About two million"	0.110735
"nearly @@ million"	0.108496
"almost @ million"	0.107633
"six million"	0.106833
"first @@@"	0.106659
"more than @.@@ million"	0.105022
"up to @@@"	0.103269
"Seven million"	0.102585
"about @ million"	0.101538
"ten thousand"	0.101495
"about @@"	0.10119
"more than four million"	0.0992663
Twelve	0.0992397
Sixteen	0.0990202
"two dozen"	0.0986259
Nineteen	0.0981518
"more than @@@@"	0.0979457
forty	0.0975445
"another five"	0.0973777
"more than eight"	0.0972732
Eleven	0.096808
"almost @@ million"	0.0939178
"more than @@@ million"	0.0935232
Eighteen	0.0926015
"more than @@"	0.0921262
Fifteen	0.0916146
"Another eight"	0.0913507
Thirty	0.0910911
"another @.@ million"	0.0907584
Thirty-four	0.0888519
"less than @@@"	0.0881833
"About @.@@ million"	0.0880343
"over @@ million"	0.0875259
"less than @,@@@"	0.0874107
Thirteen	0.0865981
"Other @@"	0.0864323
Thirty-nine	0.0861427
twenty	0.0857456
"eight million"	0.0852867
"up to @ million"	0.0840726
"another nine"	0.0821207
Thirty-five	0.0821167
Forty-four	0.0810676
"up to seven"	0.0807365
"another four"	0.0807191
Fourteen	0.0795746
Thirty-six	0.0790862
"about @@ million"	0.078874
"Greek Cypriot"	0.0787979
Thirty-two	0.0778397
"four to five"	0.0773638
"less than @@,@@@"	0.0767288
"five to @@"	0.0758239
"six to @@"	0.075125
"roughly @@"	0.0747408
"up to three"	0.0740562
"about seven"	0.0731437
"up to six"	0.0729657
Kurd	0.0726084
"another @"	0.0718123
"two to four"	0.0716931
"More than two"	0.0716242
Thirty-eight	0.071618
"over @@"	0.0715733
"Ethnic Albanian"	0.0711844
"nearly @@"	0.0700606
Rwandese	0.0700294
"up to @@"	0.0695749
"up to @@ million"	0.0691061
Kosovar	0.0689244
"nine million"	0.0687833
"Sri Lankan"	0.068427
"South Vietnamese"	0.0680617
"about @@ to @@"	0.067883
Forty-seven	0.0673407
"Kosovar Albanian"	0.0663685
"up to five"	0.066058
"Bosnian Muslim"	0.0655586
"about @@@ million"	0.0654653
"more than ten"	0.0653712
"more than seven"	0.0652223
"about eight"	0.0651659
slain	0.0651437
Thirty-one	0.064381
"more than five"	0.0642417
ten	0.0641376
"other five"	0.0636313
Hmong	0.0634527
Thirty-three	0.0634238
"eight to @@"	0.0626334
sixty	0.062613
Forty-two	0.0622826
Banyamulenge	0.0615621
"turning away"	0.0609706
"three to five"	0.0606658
"about six"	0.0601879
"nearly @@@ million"	0.0599218
"Another @@ million"	0.0598651
"more than six"	0.0596766
Gurkha	0.0596627
"four to six"	0.0595293
"more than @ billion"	0.0594323
"other four"	0.0586776
eighty	0.0586768
"about two"	0.0578599
"South Korean"	0.057236
"other seven"	0.0571797
Fifty	0.056951
fulltime	0.0568368
Kashmiri	0.0566258
Bedell	0.0561893
non-Muslim	0.0552968
"two to three"	0.0551166
oceanfront	0.0550993
"up to eight"	0.0550359
"more than @.@ billion"	0.0545855
"six to eight"	0.0542301
cannery	0.0537216
"other three"	0.0533652
Younger	0.0532483
"Kosovo Albanian"	0.0532308
"other eight"	0.0526235
"about @@.@ million"	0.052236
"over @@@ million"	0.0521832
Croat	0.0518848
Tutsi	0.0517142
"about five"	0.05161
non-Indian	0.0513257
nonwhite	0.0511633
health-conscious	0.0511249
Timorese	0.0505386
Ingush	0.05033
"About @ billion"	0.0502599
))
("another @-pointer" (desc 1319.92) (sims
three-pointer	0.242191
"foul shot"	0.217031
Trey	0.211669
"two @-pointers"	0.205813
"three @-pointers"	0.185468
"hook shot"	0.168839
"bank shot"	0.159145
"another @"	0.144508
putback	0.144234
tip-in	0.143555
"jump shot"	0.130626
"four @-pointers"	0.129951
three-pointers	0.128018
"free throw"	0.120448
"two baskets"	0.10896
layup	0.101784
Glanville	0.0952024
"Oronde Gadsden"	0.0857414
slapper	0.0854588
game-winner	0.0815572
"rough water"	0.0797731
"eighth homer"	0.0795199
"gas well"	0.079168
Loretta	0.0787861
one-hopper	0.0787625
buzzer-beater	0.0775324
"Isaac Bruce"	0.0773441
"Danny Farmer"	0.0768149
"Wilton Veras"	0.076212
boreholes	0.0747306
"David Dellucci"	0.0736018
layups	0.0731278
Furcal	0.0726881
"Kevin Young"	0.0721202
timeout	0.0716649
"seventh homer"	0.0713491
Bichette	0.0711416
fourth-and-@@	0.0708171
comebacker	0.070623
"Edgar Martinez"	0.0699099
technicals	0.0694264
goalpost	0.0691378
breakaway	0.068166
"chip shot"	0.0681139
Counsell	0.0680594
Agbayani	0.0678179
Longo	0.0669569
Polgar	0.0668104
"Mike Sweeney"	0.0667702
"two homers"	0.0663509
"Rod Smith"	0.0660223
"Eric Moulds"	0.0657731
"sixth homer"	0.065766
batsmen	0.0657391
Stackhouse	0.0657021
"J.T Snow"	0.0654283
"Dez White"	0.0647287
"Richard Hidalgo"	0.0638935
Brosius	0.0637938
"pirate ship"	0.0634616
Daubach	0.0632444
Mabry	0.0632397
backhander	0.0629234
"Amani Toomer"	0.0627764
"rock bottom"	0.0626337
Brees	0.0624579
airball	0.0622055
"Fernando Vina"	0.0620421
"Kelly Stinnett"	0.0620215
No.@@@	0.0620062
floater	0.0617507
"fifth homer"	0.0615746
one-timer	0.06156
"five @-pointers"	0.0614667
Alomar	0.0613701
"Geoff Jenkins"	0.061266
"Carlos Febles"	0.0611686
"Eric Karros"	0.0610801
"No. @,@@@"	0.0605758
"Herbert Perry"	0.0605675
"torpedo boat"	0.0605629
"Sam Mack"	0.060244
Brogna	0.0601919
"first homer"	0.0598503
"Raul Gonzalez"	0.0598318
"Marvin Benard"	0.0590148
"Arturs Irbe"	0.0589784
"Dedric Ward"	0.058937
"Desi Relaford"	0.0588176
"Kasey Keller"	0.0586777
"Martin Brodeur"	0.0586537
"Shannon Stewart"	0.0586381
Offerman	0.0578089
"Reggie Sanders"	0.0577223
Trepagnier	0.0576304
"Andy Fox"	0.0575915
"Jamie Langenbrunner"	0.056917
"eight kilometers"	0.0568513
"Rico Brogna"	0.0566416
"Donald Brashear"	0.0563651
schooner	0.0562859
everytime	0.0557368
Alfonzo	0.0552401
"Alex Gonzalez"	0.0551757
Baerga	0.0551512
"Ken Caminiti"	0.0551076
"Mark Loretta"	0.0550684
Lawton	0.0548688
Brodeur	0.0547687
"eight homers"	0.0546431
"third homer"	0.0545622
Santangelo	0.0544746
"Troy O'Leary"	0.05433
Cepeda	0.0542717
Surhoff	0.0542535
"Matt Lawton"	0.0541824
"Russ Davis"	0.0540047
"solo homer"	0.0539845
Fryman	0.0538138
equaliser	0.0537869
"Terance Mathis"	0.0534837
Gilkey	0.0532601
"Doug Glanville"	0.0531139
DiSarcina	0.0529532
"second homer"	0.0529215
Appier	0.0528721
scoring	0.0527976
"Shawon Dunston"	0.0527907
"Brian Daubach"	0.0526791
"gas pedal"	0.0526291
Gant	0.0524505
"four homers"	0.052396
"David LaFleur"	0.0521387
"Jimmy Smith"	0.0520667
"Brady Anderson"	0.0520404
"Jeremy Giambi"	0.0519235
Ordonez	0.0518942
"Jeff Bagwell"	0.0518383
"Brad Penny"	0.051821
Astacio	0.0518182
"a few million dollars"	0.0517794
"Kevin Jordan"	0.0517036
"extra points"	0.0516857
MARBURY	0.0516566
Beltran	0.0515729
"Marcell Allmond"	0.0514604
Galarraga	0.0514181
Saberhagen	0.0512642
"ground stroke"	0.0511462
groundout	0.0510863
"Matt Williams"	0.0510092
"Jose Offerman"	0.050883
"Jim Thome"	0.0507811
"Damian Jackson"	0.0506529
Starks	0.0505795
Tatis	0.0504864
"Tino Martinez"	0.0503603
Olazabal	0.0503089
Dafoe	0.0503008
"Chris Osgood"	0.0502716
Bordick	0.0500467
"Scott Brosius"	0.0500004
"Green Monster"	0.0499729
"Steve Shields"	0.0499507
"Tony Phillips"	0.0499089
Outzen	0.0498867
"Paul Konerko"	0.0498534
"Banshee Breeze"	0.0498377
fourth-and-@	0.0495146
"Luis Alicea"	0.0493474
"passing shot"	0.0493192
"CORIE BLOUNT"	0.0493164
"Kyle Brady"	0.0491861
Leyritz	0.0491086
deuce	0.0490395
jumpers	0.0490353
"Cuttino Mobley"	0.049017
"Greg Myers"	0.049017
"Jocelyn Thibault"	0.049005
O'Hara	0.048915
pretending	0.0488492
Thibault	0.0487753
flange	0.0484605
Hidalgo	0.0483966
Kitna	0.0482694
"Matt Luke"	0.0480837
"almost $@ billion"	0.047985
"Koch Industries"	0.0479418
Flockhart	0.0479037
"Ike Hilliard"	0.0478969
"Luis Gonzalez"	0.0478804
"Scott Spiezio"	0.047854
Savarese	0.0477997
Glaus	0.0477165
"Clay Bellinger"	0.0475465
Higginson	0.0475301
"foul ball"	0.0474852
MBNA	0.0473633
Gomez	0.0473512
Karl	0.0473462
))
("another @.@ million" (desc 1124.08) (sims
"another @ million"	0.244844
"another @@@,@@@"	0.214373
"Seven million"	0.199204
"over @.@ million"	0.180947
"nearly @@ million"	0.177244
"About three million"	0.169418
"More than @.@ million"	0.167988
"almost @ million"	0.167392
"almost @@ million"	0.1628
"Over one million"	0.1619
"up to @@@,@@@"	0.160411
"up to @@ million"	0.159333
"three million"	0.155428
"About @ billion"	0.152974
"almost @@@,@@@"	0.149254
"another @@@ million"	0.146889
"Over two million"	0.144054
"About one million"	0.14399
"Nearly @.@ million"	0.141363
"over @@ million"	0.140148
"Another @@ million"	0.139214
"more than @ million"	0.138439
"six million"	0.137692
"roughly @@@,@@@"	0.135897
"More than two million"	0.135119
"Four million"	0.132631
"more than @@ billion"	0.132192
"two million"	0.132176
"over @ million"	0.131907
"More than three million"	0.130735
"about @.@ million"	0.130333
"more than @.@ billion"	0.129417
"nearly @ million"	0.129227
"another @@,@@@"	0.129049
"more than @@ million"	0.128504
"about @ million"	0.125476
"more than one million"	0.124723
"two billion"	0.123664
"over @@@,@@@"	0.119414
"over @.@@ million"	0.118295
"One Million"	0.118021
"roughly @@,@@@"	0.117365
"five million"	0.11712
"nine million"	0.114838
"nearly @@@,@@@"	0.114184
"up to @ million"	0.114175
"eight million"	0.112169
"almost @@,@@@"	0.111822
"more than @@@ million"	0.111605
"over @@@ million"	0.111408
"close to @,@@@"	0.110891
"nearly @@@ million"	0.109624
"about @@@ million"	0.10893
"close to @@,@@@"	0.108157
"nearly one million"	0.108044
"more than @@@,@@@"	0.106972
"more than four million"	0.10677
"six billion"	0.105118
"about @@@,@@@"	0.105016
"about @.@ billion"	0.101439
"About two million"	0.101242
"more than @.@@ million"	0.0988357
"about @@ million"	0.0984701
"about @@@ to @@@"	0.0968058
"Three billion"	0.0961424
"About @.@@ million"	0.0943806
"about @@.@ million"	0.0941133
"Another @,@@@"	0.0907584
"over @@,@@@"	0.0889726
"almost @,@@@"	0.087545
"less than @@,@@@"	0.0875181
"about @@ billion"	0.0851489
"roughly @@@"	0.081632
"over @,@@@"	0.0804134
"roughly @,@@@"	0.0800272
"up to @,@@@"	0.0734699
"more than @ billion"	0.073128
"nearly @@,@@@"	0.0723017
"almost @@@"	0.0719741
"Another @@@"	0.0712945
"up to @@,@@@"	0.0701775
"Three hundred"	0.0684701
"less than @@@"	0.0675391
"first @@@"	0.0670338
"close to @@@"	0.0644585
"up to @@@"	0.0638282
AGL	0.0638246
"nearly @,@@@"	0.0629381
"Two hundred"	0.0625391
"about @@ to @@"	0.0617587
Pirelli	0.0614048
"one billion"	0.0610651
"two to four"	0.0606369
"up to three"	0.0585203
"over one-third"	0.0582504
"Nearly two"	0.0582407
"about nine"	0.0579702
"less than @,@@@"	0.0576702
"more than ten"	0.0573199
"turning away"	0.0571133
"close to @@"	0.0568895
"ten thousand"	0.0568397
"three to five"	0.0564265
"Around @@@"	0.0558034
"Niagara Mohawk"	0.0555929
Thirty-three	0.0548163
"Washington Mutual"	0.0547928
"State Farm"	0.0545949
"Time Warner Cable"	0.0545397
non-Indian	0.0543476
Thirty-six	0.0541713
"more than seven"	0.0532082
Forty-four	0.0519318
"six to @@"	0.0517365
Khmer	0.0514408
seventy	0.0510745
Thirty-four	0.0506234
"more than eight"	0.0503244
Bridgestone/Firestone	0.0501893
"four to six"	0.0498024
ATX	0.0497518
Benex	0.0488651
ATHOME	0.0486514
"Around @@"	0.0486282
"about six"	0.0484745
WebTV	0.0480175
"another seven"	0.0478878
"about @.@"	0.0478073
Overnite	0.0477142
"Consolidated Edison"	0.0474498
"Cox Communications"	0.0472896
"up to four"	0.0468243
Bridgestone	0.0467506
"six to eight"	0.0465833
"up to five"	0.0456374
Forty-two	0.0455514
Okinawan	0.0455223
Fifty-five	0.0453558
Fifty	0.0452334
"next of kin"	0.045172
CompuServe	0.045159
Netcom	0.0450277
"more than @@@@"	0.0449783
"eight to @@"	0.044833
Caldor	0.0447958
"five to @@"	0.0447474
"less than five"	0.0446074
"four to five"	0.0445777
sherpa	0.0444356
Thirty-five	0.0440146
"more than six"	0.044013
"almost two"	0.0437655
small-business	0.0437479
"up to six"	0.0436367
"roughly @@"	0.0430669
commissary	0.0430003
Ingush	0.04282
"maiden name"	0.0427609
"First USA"	0.0427602
"Paradise Valley"	0.0426281
"about eight"	0.0425392
"about four"	0.0423798
"up to seven"	0.0422935
CPF	0.0421928
"Verizon Communications"	0.0417797
Thirty-eight	0.0416512
"up to eight"	0.0414924
"Mark Bosnich"	0.0414862
Maltese	0.0414744
"Boys Ranch"	0.041407
workfare	0.0412381
"up to two"	0.0412319
Rasmussen	0.0412297
health-conscious	0.0410724
"Garden State"	0.0407004
"another three"	0.0406703
sixty	0.0406521
"Eighty percent"	0.0404666
childcare	0.0403789
non-Hispanic	0.0402243
"about seven"	0.0400316
))
("another @.@ percent" (desc 1936.8) (sims
"another @@.@ percent"	0.253196
"over @@.@ percent"	0.168805
"about three percent"	0.139582
"more than @.@ percent"	0.123424
swathe	0.123315
"about @@@ points"	0.122447
"nearly @@@ points"	0.120891
"nearly @@ points"	0.11484
"Syrian Golan Heights"	0.113339
"over @@@ points"	0.104288
"one inch"	0.101619
percent	0.0969244
"five cents"	0.0967264
"two percent"	0.0960436
"Abu Dis"	0.0953682
"two cents"	0.0937436
"one percent"	0.0920819
"up to @.@ percent"	0.0905644
"over one third"	0.0898376
"seven percent"	0.0881821
"up to @@.@ percent"	0.0879504
"eight cents"	0.0876348
"about five percent"	0.087558
"more than @@@ points"	0.0872484
"one cent"	0.0870436
"eight percent"	0.0860462
year-on-year	0.085462
"nine cents"	0.0848939
"nearly $@"	0.0841895
"over one-third"	0.0816684
"ten percent"	0.0808829
"Panama Canal"	0.0804086
"more than @@ points"	0.0803654
"Over @@@ Million Dollars"	0.0794967
"about @ percent"	0.0778643
"South Lebanon"	0.0776493
"about @.@ percent"	0.0776467
"five percent"	0.0772162
"nearly $@@"	0.0771798
"three percent"	0.0771351
"four percent"	0.0769408
"about @@ points"	0.0766814
"one sixth"	0.0757611
"over two-thirds"	0.0757544
Golan	0.0755247
"Karachi Stock Exchange"	0.0745214
"nine percent"	0.0734894
two-tenths	0.0732177
"Sensitive Index"	0.0713459
one-seventh	0.0709654
Irbil	0.0706825
"a few pounds"	0.0704145
"about one quarter"	0.0698251
"less than one percent"	0.068447
"about one percent"	0.068239
"three cents"	0.0679825
annexation	0.0672249
"about one-quarter"	0.0658942
"About @@ per cent"	0.0649683
CAC-@@	0.064805
one-tenth	0.0639334
"About @@.@ percent"	0.0637908
"more than @.@ billion dollars"	0.0634786
"Golan Heights"	0.063144
"million acres"	0.0630712
"producer price"	0.0626377
"about @@@,@@@ hectares"	0.0623368
BSE-@@@	0.062262
Jezzine	0.0621981
"current account"	0.0617262
"about one-third"	0.0617195
"Twenty percent"	0.061118
usurpation	0.0609175
"nearly one third"	0.0608881
"about three-quarters"	0.0604767
"Exchange Fund"	0.0603729
"about @@@ acres"	0.0600458
"Singapore Press Holdings"	0.0598677
"about four percent"	0.0596907
"more than @@ inches"	0.059497
"five spot"	0.0594715
"more than @@@ billion yuan"	0.0593492
"over @@ billion yuan"	0.0577332
fifths	0.0576548
reallocation	0.0575453
three-tenths	0.0566772
centavo	0.0563819
"first weekend"	0.0560575
"Texas Legislature"	0.0557705
"More than two-thirds"	0.055233
"six billion yuan"	0.0547955
"almost $@ billion"	0.0546716
"more than @@ billion dollars"	0.0545482
FT-SE	0.0543954
"parcel of land"	0.0541901
"roughly two-thirds"	0.0540921
"factory order"	0.0537734
"about one third"	0.0534393
"one tenth"	0.0533562
"up to @@ inches"	0.0532119
"consumer price index"	0.0531635
"a few thousand dollars"	0.0530789
one-fourth	0.0529452
"one dollar"	0.0525551
"More than one third"	0.0525402
"a few million dollars"	0.0515125
"nearly one-fourth"	0.0509316
centimeter	0.0508851
"one fifth"	0.0508716
"More than three quarters"	0.0507581
half-inch	0.0507499
"US House"	0.0507439
"more than three-fourths"	0.0505343
"basis point"	0.0505153
"two inches"	0.050451
"six percent"	0.0500933
Paralympics	0.0498542
"Up to @ inches"	0.0497744
"two billion US dollars"	0.0494557
"less than @.@ percent"	0.0494295
"more than @,@@@ hectares"	0.0493774
"about @@,@@@ acres"	0.0492914
"Kuwait Stock Exchange"	0.0486444
two-third	0.0485614
Sen	0.0485403
"about @@@ million US dollars"	0.0482346
"nearly $@.@ million"	0.0481959
"four billion yuan"	0.0481872
eight-tenths	0.0479679
"About three quarters"	0.0479335
"trading activity"	0.0477637
fibroids	0.0476388
"about @ billion dollars"	0.0473059
"one penny"	0.047262
"about @,@@@ acres"	0.0472211
Lockerbie	0.046985
one-fifth	0.0469264
"nearly two-thirds"	0.046825
"four inches"	0.0467955
"barrels per day"	0.0464867
"about three-fourths"	0.0463874
"market average"	0.0463011
"one billion US dollars"	0.0462913
Four-fifths	0.045878
"About @@,@@@ hectares"	0.0458115
"nearly $@.@ billion"	0.0456813
tenths	0.0456002
"bond price"	0.0455373
"more than @ billion dollars"	0.0452478
"about $@.@@ billion"	0.0452249
"asset value"	0.0450559
"about @@ million US Dollars"	0.0450133
"square mile"	0.0448903
"about one-fifth"	0.0448228
"more than @@ billion US dollars"	0.0447484
"almost one-third"	0.0446944
"nearly one-third"	0.0445646
"about @@@ million dollars"	0.0444567
"about two percent"	0.0443214
"about @@.@ million dollars"	0.0442725
"almost two-thirds"	0.0441598
OCBC	0.0440717
"Learning Co."	0.0439293
"Unit @"	0.0438912
"more than @,@@@ acres"	0.0438862
subsidence	0.0438499
"retail price index"	0.0438188
PLDT	0.0437781
"occupancy rate"	0.0437357
"One hundred percent"	0.0436867
"over @@@ billion yuan"	0.0436482
"Almost three-quarters"	0.0436449
"more than @@@ million dollars"	0.0436165
STI	0.0436091
tenth	0.0434126
downtrend	0.0431798
"fertility rate"	0.0431745
"Jordan Valley"	0.043142
"another @"	0.042918
"more than @@ million dollars"	0.0429024
"more than @@@ hectares"	0.0428737
hyphen	0.0428373
twenty-six	0.0426797
pfennig	0.0424511
"vehicle sale"	0.0424384
"more than @@@,@@@ acres"	0.042432
comma	0.0423978
"Royal Opera House"	0.0423258
"over @@@@"	0.0422472
"more than @.@ billion US dollars"	0.0421875
VMs	0.0419727
"elephant population"	0.0415983
"Winning Colors"	0.041458
"over @,@@@ hectares"	0.0414529
Etherton	0.0414406
"retail price"	0.0414284
"CAC @@"	0.0413729
"Special Administrative Region"	0.0413698
spaetzle	0.0413128
"more than @@,@@@ hectares"	0.0412657
))
("another @@" (desc 13763.1) (sims
"Another @@@"	0.189525
"over @@@"	0.173835
"over @,@@@"	0.167362
"more than @,@@@"	0.158523
"Another @,@@@"	0.154308
"more than @@@"	0.153977
"about @@"	0.14959
"Other @@"	0.148246
"another three"	0.145773
Eighteen	0.145546
"Another two"	0.144606
"nearly @,@@@"	0.144558
"another seven"	0.143444
"Another eight"	0.141612
"about @@@"	0.140685
"nearly @@@"	0.140403
"another four"	0.139662
Nineteen	0.138379
Twelve	0.135483
Sixteen	0.135476
"more than @@"	0.135147
Fifteen	0.131511
"over @@,@@@"	0.131106
"another six"	0.130491
twenty	0.130071
"About @,@@@"	0.129206
Eleven	0.128412
Fourteen	0.128063
"another five"	0.128035
Thirty	0.128002
"another nine"	0.127827
Thirty-five	0.12596
"up to @,@@@"	0.123784
"up to @@"	0.122989
Thirteen	0.122077
nine	0.121959
"over @@"	0.119443
"almost @,@@@"	0.118524
seven	0.118338
"more than @@,@@@"	0.11816
"nearly @@,@@@"	0.118107
forty	0.114413
"almost @@@"	0.114094
eight	0.113934
"another @@@,@@@"	0.113496
"other five"	0.112666
Thirty-six	0.110705
Five	0.110314
Forty-seven	0.110131
"roughly @,@@@"	0.110039
Six	0.109625
"two dozen"	0.109555
"another @@,@@@"	0.108377
Thirty-four	0.107766
"up to @@@"	0.107725
Thirty-three	0.107477
"other @@@"	0.106287
"about @@,@@@"	0.105242
Fifty	0.105167
"roughly @@@"	0.104348
"first @@@"	0.102955
"other seven"	0.102298
"over @@@,@@@"	0.100061
"more than eight"	0.099687
Three	0.0993423
"more than five"	0.0992548
"Three hundred"	0.0989235
"more than @@@,@@@"	0.0989043
"close to @@@"	0.0986206
"about six"	0.0979972
"More than two"	0.0976734
"Around @@"	0.0973244
Thirty-two	0.0970981
"up to @@,@@@"	0.0967761
Forty-five	0.0963084
four	0.0961026
"nearly @@@,@@@"	0.0949436
"other three"	0.0948511
"more than ten"	0.0944335
"close to @,@@@"	0.0939983
"About one million"	0.0939702
"up to @@@,@@@"	0.0936731
"other eight"	0.0928816
"almost @@,@@@"	0.0925478
"other six"	0.0924464
"Two hundred"	0.0918469
"Around @@@"	0.0917513
Forty-two	0.0915587
eighty	0.0913758
"other four"	0.0911479
"nearly @@"	0.0907991
ten	0.088264
"up to seven"	0.0881217
seventeen	0.0880176
"two million"	0.087929
Thirty-nine	0.0874047
"about @@@ to @@@"	0.0866121
"first @@"	0.086259
"roughly @@"	0.0859154
"over @.@ million"	0.0853963
Thirty-one	0.085266
"another @"	0.0852012
"roughly @@,@@@"	0.0850686
"other two"	0.0848333
"six million"	0.0845515
hundred	0.0844144
"more than one million"	0.0840002
Thirty-eight	0.0839802
"about @@@,@@@"	0.0833912
"More than @.@ million"	0.0833054
"up to three"	0.0825912
"One Million"	0.0821841
"about five"	0.0820174
"about @@ to @@"	0.0812885
"about @ million"	0.0805241
"more than @@@@"	0.0798515
"more than @ million"	0.0795118
"more than @@ million"	0.0788265
"more than three"	0.0786876
"half a dozen"	0.0786538
"about two"	0.0783139
"nearly @ million"	0.0767684
"five to @@"	0.0766859
"about eight"	0.0764669
"over @.@@ million"	0.0763138
"a few"	0.075407
"about @.@ million"	0.0751233
"about three"	0.0746457
"six to eight"	0.0740443
Forty-four	0.0737402
"four to six"	0.073514
"less than @@@"	0.0734036
"more than @.@@ million"	0.0729827
dozen	0.0727881
"three million"	0.0724132
"More than two million"	0.0721476
"up to four"	0.0716932
"more than six"	0.071503
"almost @@@,@@@"	0.0714177
"close to @@,@@@"	0.0711935
"More than three million"	0.070572
"over @ million"	0.069922
"about seven"	0.0695204
"other nine"	0.0692474
slain	0.0688683
"Over one million"	0.0683299
"about @@ million"	0.0676825
"Nearly @.@ million"	0.067553
"nearly one million"	0.0675271
"about four"	0.0670531
Kurd	0.0662869
"up to five"	0.065857
Fifty-five	0.065585
"nearly @@ million"	0.0654557
Twenty-five	0.0654168
"Four million"	0.0654017
"over six"	0.0647475
"five million"	0.0646105
"more than four"	0.0642834
"South Korean"	0.0641312
"over two"	0.0640827
"up to two"	0.0639029
"up to six"	0.063874
"Kosovar Albanian"	0.0635392
"more than one"	0.0633985
"Over two million"	0.063344
"another @ million"	0.0632661
"six to @@"	0.0630927
"almost @@"	0.0629877
"Nearly two"	0.0628431
thousand	0.0626095
"more than seven"	0.0625169
"first five"	0.062505
"roughly @@@,@@@"	0.0618445
"over four"	0.0616303
"first six"	0.0615684
"next @@"	0.0615226
"nearly three"	0.0615224
Twenty-seven	0.0614595
"About three million"	0.0613385
"up to @ million"	0.0609426
"another one"	0.0606129
"up to eight"	0.0605201
"More than nine"	0.0604513
"first four"	0.0602413
"up to @@ million"	0.0602291
"over @@ million"	0.0602262
sixty	0.0602243
"Another @@ million"	0.0601533
"About two million"	0.0596938
"less than @@"	0.0596313
"first eight"	0.059452
"almost @ million"	0.0591383
"Seven million"	0.058928
"three to five"	0.0585753
"more than four million"	0.0585603
"three to four"	0.0583415
"two to four"	0.0583392
"first nine"	0.0580323
non-European	0.0577485
))
("another @@ days" (desc 1794.63) (sims
"another six months"	0.224073
"up to @@ days"	0.218344
"another @@ months"	0.21088
"another four years"	0.210633
"another two weeks"	0.189335
"another five years"	0.180384
"another two years"	0.176981
"another three years"	0.174652
"up to two years"	0.15615
"up to six months"	0.152471
"another @@ years"	0.14602
"up to @@ minutes"	0.141895
"up to three years"	0.135115
"more than @@ days"	0.115473
"three to six months"	0.109399
"up to three months"	0.105936
"up to @@ months"	0.102421
"more than three months"	0.0954878
"over @@ hours"	0.0941197
"nearly @@ hours"	0.0907765
"more than three hours"	0.0893944
"about three months"	0.0889819
"six to eight weeks"	0.0874228
"up to five years"	0.0864547
"about three years"	0.0860804
"eight days"	0.0825132
"up to @@ hours"	0.0824769
"nine weeks"	0.0820724
"another @@ minutes"	0.0800004
"about five minutes"	0.0790624
"about six weeks"	0.0785451
"more than four hours"	0.0769301
"seven days"	0.0767283
"about six months"	0.0767039
"over @@ minutes"	0.0760907
"nearly two hours"	0.0760741
"about two minutes"	0.0756967
"more than two years"	0.0755955
"more than two weeks"	0.0750728
"nearly six years"	0.0743424
"more than two hours"	0.0741247
"more than @@ hours"	0.0740395
"seven weeks"	0.0736446
"more than @@ minutes"	0.0732017
"more than three years"	0.0729108
"six hours"	0.072823
"about three hours"	0.0726459
"nearly two months"	0.0724722
"eight weeks"	0.0719655
"about one hour"	0.0716926
"about six hours"	0.0714254
"about @ @/@ hours"	0.0701999
"six days"	0.0699736
"more than three weeks"	0.0682478
"six weeks"	0.068009
"three to five years"	0.0678793
"four weeks"	0.0672733
"about four years"	0.0671421
"about @@ months"	0.0666547
"a few months"	0.0666518
"nearly three hours"	0.0660691
"five weeks"	0.0658817
"about @@ days"	0.0656182
"nearly two weeks"	0.0655304
"more than two months"	0.0652807
"almost three years"	0.065083
"nine hours"	0.0650234
"four to six weeks"	0.0650227
"three hours"	0.0645111
"up to two weeks"	0.0629819
"more than six months"	0.0621535
"more than seven years"	0.0619849
"more than five years"	0.0613155
"up to @@ years"	0.0608946
"more than five hours"	0.0590791
"over six years"	0.0590281
"about two weeks"	0.0582681
"more than five minutes"	0.0580461
"about two months"	0.0579149
"over five years"	0.0576619
"about four hours"	0.0573565
"almost two years"	0.0573161
"less than two minutes"	0.0564691
"eight hours"	0.0561661
"about two hours"	0.0557173
"almost two hours"	0.0556077
"less than five minutes"	0.0552201
"about two years"	0.0546291
"nearly two years"	0.0545746
"first five days"	0.0536428
"fifth day"	0.0533022
"over four years"	0.0532508
"one weekend"	0.0532476
"seven hours"	0.0525918
"over three years"	0.0525495
"more than one year"	0.0525108
"more than four months"	0.052324
"more than eight years"	0.0515062
"about @@ years"	0.0512669
"almost two decades"	0.0511568
"nearly @@ minutes"	0.0503656
"nearly three months"	0.0502577
"two to three years"	0.0498337
"less than @@ minutes"	0.049323
"nearly three years"	0.0485369
"more than @@@ years"	0.047016
"over six months"	0.0463997
"over @@ months"	0.0459896
"over two years"	0.0457862
"nearly three weeks"	0.0456399
"over two hours"	0.0452842
"previous two years"	0.0450885
"billion over @@ years"	0.0449169
"next two days"	0.044703
"next six months"	0.0445715
"next @@ to @@ years"	0.0439492
"last three weeks"	0.0437468
"about @@ hours"	0.0430904
"hundred years"	0.0426376
"about five hours"	0.0424268
"over @@@ years"	0.0417615
"two nights"	0.0415964
"time to come"	0.0414711
"next three months"	0.0409691
"about five years"	0.0407776
"first two weeks"	0.0407352
"right here"	0.0406745
))
("Another @@ million" (desc 1745.06) (sims
"another @@@ million"	0.275268
"another @ million"	0.241251
"up to @@ million"	0.217073
"nearly @@ million"	0.216841
"About @ billion"	0.214033
"nearly @@@ million"	0.21338
"more than @@@ million"	0.206044
"Seven million"	0.204911
"Four million"	0.199745
"About three million"	0.196627
"eight million"	0.195467
"two billion"	0.189976
"over @@@ million"	0.187525
"five million"	0.187301
"nine million"	0.186401
"over @@ million"	0.182584
"about @.@ billion"	0.181601
"more than four million"	0.180374
"more than @@ million"	0.176041
"over @.@ million"	0.17414
"More than two million"	0.17036
"Nearly @.@ million"	0.170268
"two million"	0.165553
"about @@@ million"	0.161561
"about @@.@ million"	0.161514
"Three billion"	0.161254
"six million"	0.1608
"Over one million"	0.16065
"three million"	0.159289
"About one million"	0.158593
"another @@@,@@@"	0.157971
"one billion"	0.157095
"about @ million"	0.155435
"About two million"	0.152971
"more than @@ billion"	0.151805
"Over two million"	0.149637
"about @@ billion"	0.148502
"More than @.@ million"	0.145844
"about @@ million"	0.143083
"another @.@ million"	0.139214
"more than @ billion"	0.136994
"more than one million"	0.135621
"more than @.@ billion"	0.134545
"About @.@@ million"	0.134411
"One Million"	0.133824
"More than three million"	0.133209
"over @.@@ million"	0.132377
"more than @.@@ million"	0.128783
"almost @@ million"	0.127441
"up to @ million"	0.124561
"nearly @ million"	0.124469
"about @.@ million"	0.124243
"more than @ million"	0.121334
"roughly @@@,@@@"	0.119204
"nearly one million"	0.116138
"nearly @@@,@@@"	0.114517
"another @@,@@@"	0.113379
"over @@@,@@@"	0.113314
"almost @ million"	0.102873
"six billion"	0.101212
"roughly @,@@@"	0.0990572
"over @ million"	0.0989456
"more than @@@,@@@"	0.0954156
"up to @@@,@@@"	0.0943036
"almost @,@@@"	0.0936386
"almost @@@,@@@"	0.0929934
"nearly @,@@@"	0.0923983
"almost @@,@@@"	0.0913713
"over @,@@@"	0.0909117
"nearly @@,@@@"	0.0895633
"over @@,@@@"	0.0876677
"up to @@,@@@"	0.0866549
"about @@@,@@@"	0.0831218
"About @,@@@"	0.0828756
"about @@,@@@"	0.0784933
"less than @@,@@@"	0.0769649
"up to @,@@@"	0.0747505
"about nine"	0.0735217
"nearly @@@"	0.0733753
"close to @@,@@@"	0.0730313
"nearly one"	0.0725029
"game of chance"	0.0719022
Amish	0.0717699
"Three hundred"	0.0709108
"less than @,@@@"	0.0693029
"about @.@@"	0.0689296
"about @.@"	0.0671032
non-Jewish	0.0655566
"close to @,@@@"	0.0654718
"another seven"	0.0643022
"more than ten"	0.0634308
"Another @@@"	0.0633132
"close to @@@"	0.0629353
hemophiliac	0.0622741
"up to six"	0.0621595
"Around @@"	0.0618969
"more than four"	0.0612329
"another @@"	0.0601533
"Another @,@@@"	0.0598651
"ten thousand"	0.0589119
"roughly @@,@@@"	0.0588797
"four to five"	0.058853
"first @@@"	0.058767
Hmong	0.0584044
"one sixth"	0.057758
Khmer	0.0567455
smallholder	0.0559261
"less than @@@"	0.0551711
"about @@ to @@"	0.0546714
slain	0.0545534
"nearly one-fourth"	0.0540853
"Other @@"	0.0539319
"about seven"	0.0538016
"fourth generation"	0.0537686
"five to @@"	0.0537591
"about three"	0.0537571
"up to seven"	0.0526797
health-conscious	0.052603
"about eight"	0.052164
"more than six"	0.0514256
"more than one-fifth"	0.0513072
"more than @@@@"	0.0512755
"one fifth"	0.0508875
"Nearly two"	0.0507508
Fifteen	0.0502893
"roughly @@@"	0.0502557
"More than one-third"	0.0499093
"almost @@@"	0.0495742
Younger	0.0493991
Kashmiri	0.049097
"close to @@"	0.0490408
"mentally retarded"	0.048905
"more than three"	0.0488862
"over one third"	0.0486163
"up to five"	0.0485249
seventeen	0.0484596
sixty	0.0479283
Anglo	0.0479128
"up to @@@"	0.0477667
Lileikis	0.0477082
Fifty-five	0.0476706
"another five"	0.0472164
"Almost three-quarters"	0.0464278
Dahmer	0.0460371
Uygur	0.0459334
"more than seven"	0.0459065
"less than @@"	0.0457785
"up to two"	0.0457302
"Two hundred"	0.045577
"about one quarter"	0.0452744
Maltese	0.0449699
Eighteen	0.0449414
"nearly two-thirds"	0.0448738
"less than @"	0.0446567
Pastore	0.0446044
millon	0.0445102
twenty-four	0.0443797
"nearly one-third"	0.0441268
Forty-four	0.0439662
"less than five"	0.043764
fifths	0.0436507
Korean-American	0.0436409
"about @@@ to @@@"	0.0435308
"Kosovar Albanian"	0.0434778
"up to four"	0.0434246
Thirty-three	0.043331
one-sixth	0.043241
Alpharetta	0.0431062
"roughly one"	0.0430866
Maasai	0.0428044
"nearly one third"	0.0426965
Sinhala	0.0426203
"Orthodox Jewish"	0.042504
seventy	0.0424305
non-Hispanic	0.0423736
Vance	0.0420881
"about one third"	0.0420239
"more than five"	0.0420141
"about five"	0.0419326
Fifty	0.0417609
over-@@	0.0415703
Baez	0.0411397
"lower class"	0.0409948
forty	0.0408434
"Israeli Arab"	0.0407546
Duvalier	0.0405127
Francois	0.0404559
"six to @@"	0.0402422
"four to six"	0.0401784
"more than eight"	0.0401615
"voting age"	0.0401312
))
("another @@ million dollars" (desc 939.125) (sims
"two million yuan"	0.261137
"more than @.@ billion dollars"	0.236807
"three million yuan"	0.200839
"nearly @@ billion yuan"	0.188421
"nearly @@@ million yuan"	0.177913
"five million yuan"	0.176388
"billion yuan"	0.175084
"million yuan"	0.174995
"more than @@@ million dollars"	0.171513
"three billion yuan"	0.170818
"more than @@.@ billion yuan"	0.167048
"one million US dollars"	0.165415
"about @@@ million yuan"	0.162568
"six billion yuan"	0.161105
"more than @ billion yuan"	0.158911
"five billion yuan"	0.158518
"more than @@ million yuan"	0.15829
"nearly @.@ billion yuan"	0.152157
"seven billion yuan"	0.151311
"over @@ billion yuan"	0.150316
"over @@ million yuan"	0.148479
"over @@@ billion yuan"	0.146707
"over $@ billion"	0.146494
"one billion dollars"	0.146292
"more than @@@ million US dollars"	0.145935
"one million yuan"	0.144386
"about @ billion dollars"	0.144214
"more than @@@ billion yuan"	0.144177
"a few million dollars"	0.1415
"Over @@@ Million Dollars"	0.138253
"over @@@ million yuan"	0.137883
"nearly $@.@ billion"	0.137488
"more than @.@ billion US dollars"	0.13635
"one billion yuan"	0.133259
"over @.@ billion yuan"	0.133141
"more than one billion yuan"	0.130822
"more than @@@ million yuan"	0.130674
"about @@ million dollars"	0.130038
"two billion yuan"	0.12973
"more than @.@ billion yuan"	0.129475
"almost $@@,@@@"	0.12855
"about @@ billion yuan"	0.128202
"more than @@@,@@@ yuan"	0.126376
"four billion yuan"	0.125978
"more than @@ million dollars"	0.120556
"one billion US dollars"	0.120436
"nearly $@@ billion"	0.119267
"about @.@ billion US dollars"	0.11806
"one million dollars"	0.117951
"almost $@@ million"	0.111723
"nearly $@@@ million"	0.110092
"more than @@ billion yuan"	0.109844
"nearly $@ million"	0.109698
"more than @ billion dollars"	0.108611
"hundred million dollars"	0.108238
"about @@@ million dollars"	0.108104
"over @@@ million US dollars"	0.105033
"nearly $@.@ million"	0.104117
"nearly $@,@@@"	0.103749
"about $@ billion"	0.102606
ECUs	0.101614
"about @@ million US Dollars"	0.100773
"over $@@ million"	0.100217
"more than @@ million US dollars"	0.0993191
"almost $@@@ million"	0.0988711
"small fortune"	0.0981333
"more than @@ billion dollars"	0.0972589
"thousand dollars"	0.0970386
"million dollars"	0.0963447
"nearly $@@,@@@"	0.095839
"nearly $@ billion"	0.0944298
"over @@ million US dollars"	0.0935837
"about @@@ million US dollars"	0.0935248
"Tanzania Shillings"	0.0935235
"about $@@ million"	0.0932605
"about @.@ billion dollars"	0.0929838
"about $@@@ billion"	0.0926139
"hundred thousand dollars"	0.0917152
"about @@@,@@@ dollars"	0.0911249
"billion dollars"	0.090961
"nearly $@@ million"	0.0901478
"trillion dollars"	0.0900105
"Deutsche Mark"	0.0876809
"more than @@,@@@ yuan"	0.0872271
"more than @@ billion US dollars"	0.0870366
VND	0.0867411
"about $@.@@ billion"	0.0865389
"almost $@ billion"	0.0858604
"nearly $@@@,@@@"	0.084009
"about @@.@ million dollars"	0.0835627
"about $@.@ billion"	0.0833614
monies	0.0823271
"about $@@ billion"	0.0811109
"over $@@@ million"	0.0805941
"almost $@@@,@@@"	0.0795804
"hundred dollars"	0.0792536
"RM@@@,@@@"	0.0783693
"about @.@ million dollars"	0.0775862
"two billion US dollars"	0.0772535
"about $@@.@ billion"	0.0771983
"nearly $@@"	0.0771354
"European Bank for Reconstruction"	0.076583
"about @.@@ billion dollars"	0.0765781
"about $@ million"	0.0750188
"more than @.@ billion"	0.0747155
ECU	0.0742535
"about $@@@,@@@"	0.0731594
"sum of money"	0.0731372
hryvnas	0.068369
"about $@.@ million"	0.0681068
"nearly $@"	0.0671439
shekel	0.0670561
U.S.dollars	0.0668662
"a few dollars"	0.0663469
"a few hundred dollars"	0.0658508
"almost $@@ billion"	0.065538
pataca	0.0649046
birr	0.0629205
"Uganda Shillings"	0.0621488
RM@@@	0.0620072
"about @@ billion dollars"	0.0609618
"personal loan"	0.0604089
"about $@@.@ million"	0.0597493
"Zimbabwe Dollars"	0.0589589
overdraft	0.057688
"almost $@ million"	0.0572794
one-seventh	0.0570675
"over $@ million"	0.0564809
"export credit"	0.0555415
"RM@@,@@@"	0.0554619
"over $@@@,@@@"	0.0551482
metical	0.0547262
"about @@ billion"	0.0534402
"about two percent"	0.0530733
"raw data"	0.0526326
"loan application"	0.0523893
crore	0.0523691
tranche	0.052333
"over $@@"	0.0517489
"less than @.@ percent"	0.0509836
"RM@,@@@"	0.0508377
"over $@@@"	0.0499104
"one penny"	0.0498681
hryvna	0.0498299
"about @.@ billion"	0.0480855
"one billion"	0.0476014
"bank debt"	0.0472008
T.Shs	0.0471575
"nearly one-third"	0.04715
"line of credit"	0.0471382
KUNA	0.0469757
"annual payment"	0.0468663
Auger	0.0467558
"slush fund"	0.0459553
"International Development Association"	0.0457701
lakh	0.0456768
factoring	0.0454341
"nearly $@@@ billion"	0.0454052
"preferred stock"	0.0450663
"more than @@ billion"	0.0450189
"over $@@,@@@"	0.0449734
"strong force"	0.0449412
"ransom money"	0.044485
"a few thousand dollars"	0.0442381
"letter of credit"	0.0441732
LPs	0.0439057
"more than @ billion"	0.0436898
"first CD"	0.0435751
"Kenya Shillings"	0.0434999
perquisite	0.043072
coursework	0.0428818
"stock buyback"	0.0426784
disincentive	0.0425044
"hospital care"	0.0423447
"death warrant"	0.0422107
"one dollar"	0.0421489
"network programming"	0.0417013
"working capital"	0.0415837
"frozen foods"	0.0411742
"central heating"	0.0410826
transnationals	0.040501
"right of way"	0.0403464
"About @@ per cent"	0.0402136
))
("another @@ minutes" (desc 2222.24) (sims
"about @@ to @@ minutes"	0.405773
"about @ hour"	0.373607
"about @ hours"	0.294346
"about @ minutes"	0.264303
"about @@ minutes"	0.236409
"about @ minute"	0.176422
"about five minutes"	0.162921
"a few minutes"	0.155124
"about two minutes"	0.136484
"nearly two hours"	0.127376
"about @ @/@ hours"	0.127139
"another two weeks"	0.123103
"up to @@ minutes"	0.122679
"more than three hours"	0.120369
"more than five hours"	0.112262
"another two years"	0.109882
"about six hours"	0.109181
"more than five minutes"	0.108475
"more than four hours"	0.107653
"more than @@ minutes"	0.107443
"more than two hours"	0.107315
"another five years"	0.105566
"about three hours"	0.105087
"another @@ years"	0.103122
"more than @@ days"	0.10302
"over @@ minutes"	0.102798
"about two hours"	0.10211
"six hours"	0.0987168
"over @@ hours"	0.0963185
"about six weeks"	0.0932222
"more than six months"	0.0929675
"about three years"	0.0905087
"about @@ hours"	0.0903824
"another four years"	0.0897177
"up to @@ hours"	0.0890477
"nearly @@ hours"	0.0886471
"nearly @@ minutes"	0.0879891
"one hour"	0.0878986
"about one hour"	0.0870564
"six to eight weeks"	0.0869675
"five minutes"	0.0864985
"up to @@ months"	0.0864714
"over two hours"	0.0856524
"up to six months"	0.084936
"seven hours"	0.0833526
"almost two hours"	0.0822354
"more than @@ hours"	0.0820443
"nearly three hours"	0.0813325
"another @@ days"	0.0800004
"nine hours"	0.0796826
"another six months"	0.0795207
"more than two weeks"	0.0783385
"three hours"	0.0765117
"up to two years"	0.0761678
"less than five minutes"	0.0761013
"four hours"	0.0754938
"two hours"	0.0750047
"a few hours"	0.0743862
"eight hours"	0.0716815
"up to three months"	0.06982
"about six months"	0.0693513
"about four hours"	0.0682595
"over @@ years ago"	0.06777
"up to two weeks"	0.0676177
"five hours"	0.0671185
"nearly two weeks"	0.0668059
"over two years"	0.0667154
"eight minutes"	0.0656659
"nearly three years"	0.0651068
"about @@ days"	0.0648214
"up to three years"	0.0641978
"six minutes"	0.0634138
"Ten minutes"	0.0620561
"nearly four hours"	0.0619068
"three to six months"	0.0615919
"three minutes"	0.0612277
"eight weeks"	0.0608744
"about five hours"	0.0604992
"nine weeks"	0.0602922
"next three days"	0.05988
"about two months"	0.0597845
"another three years"	0.0580054
"more than two years"	0.0577202
"nearly three weeks"	0.0568811
"nearly six years"	0.0559833
"three to five years"	0.0555756
"almost two months"	0.0553387
"up to @@ days"	0.0552894
"more than three months"	0.0550255
"less than @@ minutes"	0.0542961
"next three weeks"	0.0542141
"seven weeks"	0.0536391
"nearly two months"	0.0536129
"three nights"	0.0535699
"more than five years"	0.0535435
"two to three years"	0.0530592
"about two years"	0.0528778
"more than one year"	0.0516134
"one minute"	0.0513551
"about two weeks"	0.0502037
"four to six weeks"	0.0498501
"another @@ months"	0.0492564
"more than three weeks"	0.048666
Godot	0.0486281
"five weeks"	0.0464563
"seven minutes"	0.0461222
"more than two months"	0.044336
"about @@ months"	0.0437795
"over three years"	0.0435704
"more than @@@ years"	0.0434565
"almost two decades"	0.0432368
"next @@ minutes"	0.0432299
"Radio Liberty"	0.0430518
"more than eight years"	0.0425755
"up to five years"	0.041892
"last @@ minutes"	0.0414577
"about three months"	0.0410785
"nearly @@ months"	0.041019
"fifth day"	0.0410005
"more than @@@ times"	0.0405947
"nearly five years"	0.0405343
"last two months"	0.0404509
"New York Herald Tribune"	0.0403374
"first five days"	0.040203
"more than four months"	0.0401839
))
("another @@ months" (desc 1204.04) (sims
"another two years"	0.233531
"another @@ days"	0.21088
"another six months"	0.198632
"another three years"	0.197378
"another four years"	0.184738
"another five years"	0.1705
"another @@ years"	0.142902
"over two hours"	0.13902
"up to @@ days"	0.135835
"another two weeks"	0.11831
"up to two years"	0.115365
"up to three months"	0.114515
"up to @@ minutes"	0.112017
"six to eight weeks"	0.110409
"up to six months"	0.108857
"more than three months"	0.107726
"about three months"	0.106823
"more than four hours"	0.106421
"up to five years"	0.098705
"about four years"	0.0975159
"about six months"	0.0968954
"nearly @@ hours"	0.0959938
"almost two hours"	0.0834577
"more than six years"	0.0825636
"up to three years"	0.0820993
"seven decades"	0.0818606
"up to @@ hours"	0.0816963
"less than two minutes"	0.0793561
"more than four years"	0.0786547
"nearly two hours"	0.0778962
"about one hour"	0.0753935
"more than one year"	0.0750621
"over @@@ years"	0.0748505
"more than three hours"	0.0745152
"about six weeks"	0.0737023
"about five years"	0.0722195
"about @@ months"	0.0717587
"about two minutes"	0.071572
"three to six months"	0.0709011
"over @@ minutes"	0.0705791
"more than five hours"	0.0699756
"about two hours"	0.0695311
"up to two weeks"	0.068755
"nearly two months"	0.0684923
"about three years"	0.0680609
"over @@ hours"	0.0677936
"nine years"	0.0673037
"nearly five years"	0.0668614
"a few months"	0.0667026
"over six months"	0.0664088
"more than three years"	0.0662016
"five months"	0.0661031
"nearly two years"	0.0656682
"four weeks"	0.065541
"more than two hours"	0.0642661
"two to three years"	0.0637494
"eight months"	0.0636291
"more than two years"	0.0606188
"nine hours"	0.0601101
"less than three years"	0.0598162
"about two months"	0.0597924
"more than @@ minutes"	0.0595917
"about five minutes"	0.0590343
"more than seven years"	0.0586575
"eight weeks"	0.0585753
"eight days"	0.058521
"about @@ hours"	0.0573135
"seven days"	0.0572092
"about three weeks"	0.057136
"about @@ days"	0.0569451
"nearly six years"	0.0567148
"nearly two weeks"	0.0565672
"two to three weeks"	0.0563627
"seven weeks"	0.056057
"more than two months"	0.0555063
"nearly @@ months"	0.0554835
"more than @@ days"	0.0551195
"more than @@ months"	0.0548191
"almost three decades"	0.0545723
"almost three years"	0.0545236
"about two weeks"	0.0543513
"almost @@ years"	0.0542437
"about six hours"	0.053359
"three to five years"	0.052833
"seven hours"	0.0522698
"less than two years"	0.0517429
"up to @@ years"	0.0516443
"more than two decades"	0.051643
"nearly @@ minutes"	0.051371
"nearly three years"	0.0511009
"about four hours"	0.050189
"first five days"	0.0501419
"about two years"	0.0496824
"eight minutes"	0.0496164
"another @@ minutes"	0.0492564
"billion over @@ years"	0.0491784
"less than three months"	0.0488371
"more than four months"	0.048799
"more than @@ hours"	0.0487342
"more than @,@@@ years"	0.0487005
"nearly three hours"	0.0486459
"hundred years"	0.0486319
"one weekend"	0.0486026
"more than @@@ years"	0.047729
"over two months"	0.047569
"up to @@ months"	0.0471434
"over three years"	0.045872
"less than @@ minutes"	0.0454835
"less than five minutes"	0.0450196
"over four years"	0.0444799
"less than two hours"	0.0442909
"four to six weeks"	0.0440838
"more than six months"	0.0433754
"less than three minutes"	0.0433106
"Israeli Army"	0.0431497
"over five years"	0.0431423
"over seven years"	0.0426034
"more than five years"	0.0419671
"about @ @/@ hours"	0.0419584
"From January to June"	0.041408
five-month	0.0409145
"almost two weeks"	0.0409073
"nearly three months"	0.0405641
DEC	0.0405624
"almost two decades"	0.0404379
))
("another @@ years" (desc 4322.82) (sims
"another five years"	0.269183
"another two years"	0.212523
"another two weeks"	0.204646
"another three years"	0.194353
"another six months"	0.186745
"more than six months"	0.155246
"another four years"	0.15457
"about two years"	0.148584
"another @@ days"	0.14602
"another @@ months"	0.142902
"more than two hours"	0.13905
"up to @@ days"	0.135736
"about four years"	0.135595
"more than three months"	0.135348
"up to three months"	0.13314
"more than @@ minutes"	0.12866
"four years"	0.128346
"more than five years"	0.128258
"six to eight weeks"	0.127706
"more than @@@ years"	0.127649
"four months"	0.127188
"more than three years"	0.127036
"more than one year"	0.126201
"eight years"	0.12619
"one year"	0.126018
"nine years"	0.125156
"about two minutes"	0.124302
"up to six months"	0.12308
"up to @@ years"	0.122787
"eight weeks"	0.122486
"up to @@ months"	0.121849
"ten years"	0.119163
"three to six months"	0.117869
"seven years"	0.116959
"six years"	0.115721
"five years"	0.115445
"a few years"	0.115421
"three months"	0.115304
"more than two years"	0.114806
"about three years"	0.114023
"more than three hours"	0.11344
"six months"	0.113159
"about six months"	0.111814
"nearly two hours"	0.111605
"five months"	0.109557
"one month"	0.109407
"three years"	0.108242
"about three hours"	0.107258
"more than @@ hours"	0.107053
"seven days"	0.107046
"up to @@ minutes"	0.106752
"about five minutes"	0.10669
"about @@ years"	0.105985
"about two weeks"	0.105042
"six hours"	0.104942
"about two hours"	0.104873
"a few months"	0.104558
"more than two months"	0.104198
"four hours"	0.103924
"nearly two years"	0.103618
"up to two years"	0.10354
"nine months"	0.10336
"about three weeks"	0.103206
"another @@ minutes"	0.103122
"four weeks"	0.102793
"one week"	0.102688
"seven months"	0.10237
"two hours"	0.102254
"nearly @@ years"	0.101799
"up to three years"	0.101709
"a few minutes"	0.100935
"eight hours"	0.100768
"more than six years"	0.100664
"six weeks"	0.100045
"two months"	0.0998828
"more than two weeks"	0.0996809
"two decades"	0.0990057
"a few hours"	0.0987466
"more than @@ years"	0.0986928
"three weeks"	0.0986042
"over two hours"	0.0984194
"nearly two months"	0.0972766
"five hours"	0.0957557
"seven hours"	0.0952798
"about @@ days"	0.0950577
"seven weeks"	0.0948455
"a few weeks"	0.0947669
"about @@ months"	0.094697
"more than @,@@@ years"	0.0945861
"three hours"	0.0941095
"two years"	0.094092
"more than @@ days"	0.0940816
"over @@ hours"	0.0931952
"almost @@ years"	0.0930886
"more than four years"	0.0928065
"about six weeks"	0.0925354
"nearly six years"	0.0923839
"about @@ hours"	0.0922645
"nearly five years"	0.092246
"nearly three years"	0.0918944
"eight days"	0.0918843
"two to three years"	0.0910671
"nearly @@ hours"	0.0902611
"up to two weeks"	0.0902198
"more than four hours"	0.0899584
"nearly @@ minutes"	0.0887865
"three to five years"	0.087887
"one hour"	0.0876787
"about four hours"	0.0859684
"about six hours"	0.08536
"five days"	0.0850515
"about two months"	0.0844781
"five minutes"	0.0841713
"four decades"	0.082943
"about one hour"	0.0827671
"eight months"	0.0823313
"nearly two weeks"	0.0813688
"up to five years"	0.0808123
"more than five hours"	0.0805001
"up to @@ hours"	0.0804915
"a few days"	0.0801809
"three days"	0.0800075
"nine days"	0.0799687
"about @@ minutes"	0.0791167
"about three months"	0.0789536
"more than four months"	0.078936
"one weekend"	0.0788461
"almost two weeks"	0.0783292
"more than two decades"	0.0773103
"five weeks"	0.0763292
"three decades"	0.075625
"two days"	0.0752336
"hundred years"	0.0730174
"six days"	0.0730044
"more than five minutes"	0.0727259
"four days"	0.0715295
"nine hours"	0.0714883
"over two years"	0.0713122
"about @ @/@ hours"	0.0711617
"almost three decades"	0.0691462
"six decades"	0.0683674
"more than @@ months"	0.0679622
"less than three years"	0.0678866
"about five years"	0.0674491
"more than three weeks"	0.0672819
"nearly three hours"	0.0663496
"almost two decades"	0.0662397
"next @@ years"	0.0655198
"more than eight years"	0.0642554
"period of time"	0.0631845
"almost two hours"	0.0631128
"less than two hours"	0.062653
"three nights"	0.0624984
"two to three weeks"	0.0616151
"almost two months"	0.0608805
"over @@ years"	0.0602735
"more than seven years"	0.0590977
"less than @@ years"	0.0583665
"nearly two decades"	0.0583293
"seven minutes"	0.0582184
"time to come"	0.0581547
"almost two years"	0.058018
"nearly four years"	0.0577049
"two minutes"	0.0573011
"less than two years"	0.0572403
"nearly @@ months"	0.0568849
"Ten minutes"	0.0568676
"less than @@ minutes"	0.0564132
"more than three decades"	0.0560474
"one minute"	0.0554352
"over two months"	0.0549623
"two nights"	0.0547233
"next four years"	0.0544978
"four to six weeks"	0.0535804
"about @@ to @@ minutes"	0.0533802
"one night"	0.0532286
"right here"	0.0523613
"nine weeks"	0.0523433
"next six months"	0.0521734
"fifth day"	0.0513309
"time being"	0.0507491
"over @@ months"	0.0506158
"from @@@@ to @@@@"	0.0498504
"about @ hours"	0.0489104
"over @@@ years"	0.0488696
"less than five minutes"	0.0486909
"next @@ to @@ years"	0.048325
"from @@@@-@@@@"	0.0478547
"first three years"	0.047825
"almost four years"	0.0471282
"short time"	0.0468955
"nearly three months"	0.0459302
"nine minutes"	0.0457418
"nearly three decades"	0.0457282
"next two years"	0.0452092
"first @@ years"	0.0449418
"almost three years"	0.0447783
"three minutes"	0.0445061
"next four"	0.044247
"past six years"	0.0441699
))
("another @@,@@@" (desc 3666.39) (sims
"another @@@,@@@"	0.237595
"Another @,@@@"	0.230738
"nearly @@@,@@@"	0.221331
"up to @@@,@@@"	0.197405
"more than @@@,@@@"	0.195727
"more than one million"	0.195516
"over @@@,@@@"	0.193903
"nearly @@,@@@"	0.193714
"almost @@@,@@@"	0.192876
"over @.@ million"	0.19029
"almost @ million"	0.188375
"Over one million"	0.186913
"almost @@,@@@"	0.18579
"close to @,@@@"	0.184862
"nearly @ million"	0.183167
"Nearly @.@ million"	0.182181
"more than @.@@ million"	0.180844
"One Million"	0.175867
"more than @@,@@@"	0.174208
"More than two million"	0.171975
"Over two million"	0.171616
"over @@,@@@"	0.170605
"Seven million"	0.169573
"nearly one million"	0.16819
"Another @@@"	0.167276
"More than @.@ million"	0.166976
"About two million"	0.166718
"More than three million"	0.164241
"Four million"	0.164237
"five million"	0.163298
"almost @@ million"	0.162938
"two million"	0.162869
"three million"	0.161492
"up to @,@@@"	0.161452
"about @@,@@@"	0.160989
"over @,@@@"	0.160268
"over @.@@ million"	0.160031
"nearly @,@@@"	0.157957
"close to @@,@@@"	0.154114
"more than @ million"	0.153403
"about @@@,@@@"	0.152905
"up to @@,@@@"	0.152304
"over @ million"	0.150559
"about @ million"	0.150077
"more than four million"	0.149726
"roughly @@@,@@@"	0.149702
"About one million"	0.147718
"more than @@ million"	0.147516
"about @.@ million"	0.14577
"almost @,@@@"	0.145638
"over @@ million"	0.144437
"six million"	0.143415
"nearly @@ million"	0.14297
"About @,@@@"	0.140976
"roughly @@,@@@"	0.139553
"more than @,@@@"	0.139182
"up to @ million"	0.138185
"About @.@@ million"	0.137067
"another @ million"	0.136692
"roughly @,@@@"	0.134053
"Two hundred"	0.131249
"another @.@ million"	0.129049
"About three million"	0.126074
"nine million"	0.122801
"about @@ million"	0.119834
"Around @@@"	0.118416
"eight million"	0.118125
"more than @@@ million"	0.115331
"about @@@"	0.114552
"Another @@ million"	0.113379
"nearly @@@"	0.113266
"another five"	0.110689
"close to @@@"	0.110555
"roughly @@@"	0.109051
"another @@"	0.108377
"Three hundred"	0.107111
"about @@@ to @@@"	0.106047
"over @@@"	0.103725
"more than @@@"	0.103691
"ten thousand"	0.102403
"another six"	0.101493
"more than @@@@"	0.100952
"less than @@,@@@"	0.100155
"Around @@"	0.0997877
"almost @@@"	0.0991914
"another seven"	0.0987396
Fifteen	0.0984739
"another three"	0.0980582
"first @@@"	0.0979783
"up to @@@"	0.0965798
"another nine"	0.0958883
"up to @@ million"	0.0926996
"Other @@"	0.0924211
Thirty-six	0.092366
"Kosovar Albanian"	0.0917243
Ingush	0.0897311
Forty-four	0.0891455
"another four"	0.0867646
Twelve	0.0864314
Sixteen	0.086379
"about @@.@ million"	0.0860411
Thirteen	0.0858341
"Another eight"	0.0852198
Thirty-nine	0.0847301
"less than @,@@@"	0.0837754
"about @@"	0.082393
Kosovar	0.0821478
"two dozen"	0.0819832
Hmong	0.0815705
"more than ten"	0.0814584
"other @@@"	0.0811966
"turning away"	0.0800867
Thirty-two	0.0798495
Thirty-five	0.0786119
"more than eight"	0.0784383
"Bosnian Muslim"	0.0782998
"up to six"	0.0766963
"about eight"	0.0764215
Fourteen	0.0763877
forty	0.0763207
eighty	0.0754469
Fifty	0.0750261
Thirty	0.074429
"up to @@"	0.0743969
"nearly @@@ million"	0.0741288
Thirty-four	0.0738856
slain	0.0734239
"about @@@ million"	0.0724352
Eighteen	0.0723098
"about seven"	0.0717484
Okinawan	0.0709789
"six to @@"	0.0709279
twenty	0.0700015
"more than @@"	0.0695053
Nineteen	0.0689323
"More than nine"	0.0674401
Gurkha	0.0673926
"South Vietnamese"	0.067326
"Irish Catholic"	0.0671282
"about six"	0.0666574
"over @@"	0.0665578
"over @@@ million"	0.0665566
Eleven	0.066431
"up to three"	0.0659661
"about nine"	0.065704
"less than @@@"	0.0654602
Zairean	0.0652754
Thirty-three	0.0638412
"other nine"	0.0638123
Younger	0.0635249
"Another two"	0.0631627
"more than five"	0.0628552
"two to three"	0.0627997
Bedouin	0.062682
non-Muslim	0.0622888
"other two"	0.0622593
"other four"	0.0622324
"More than two"	0.0620837
Rwandese	0.0618406
"about five"	0.061653
"up to seven"	0.0612224
"up to five"	0.0611573
Navajo	0.0605871
Kurd	0.0604024
"six to eight"	0.0599582
"half a dozen"	0.0596913
"two to four"	0.0595461
non-Jewish	0.0592018
"other five"	0.0591149
Croat	0.0586627
"About @ billion"	0.0584767
"Sri Lankans"	0.0582394
seventeen	0.057862
Forty-seven	0.0578259
"Kosovo Albanian"	0.0577445
asylum-seekers	0.0569234
"East Timorese"	0.0562029
"Sierra Leonean"	0.0557816
"more than three"	0.0556703
"about four"	0.0555469
BSF	0.0553934
"more than six"	0.0552936
"Asian American"	0.0549929
"Kosovo Serbs"	0.0545952
"North Africans"	0.0545297
non-Hispanic	0.0537477
nonwhite	0.0537291
Thirty-one	0.0537044
"hundred thousand"	0.0535188
Thirty-eight	0.0533463
"more than @.@ billion"	0.0529219
"Three billion"	0.0524345
"close to @@"	0.0523962
"Ethnic Albanian"	0.052303
"Greek Cypriot"	0.0522166
Camerounian	0.0517517
Forty-five	0.0516739
Timorese	0.0516604
"Sri Lankan"	0.0515604
"roughly @@"	0.0513531
))
("another @@.@ percent" (desc 1477.21) (sims
"another @.@ percent"	0.253196
"Syrian Golan Heights"	0.176711
"over @@.@ percent"	0.144885
Golan	0.11767
swathe	0.111786
"one inch"	0.110296
"almost two-thirds"	0.0985217
"Twenty percent"	0.096632
"South Lebanon"	0.093865
"Sixty-five percent"	0.0930818
"about three percent"	0.0912825
"nearly two-thirds"	0.0775118
"Seventy percent"	0.0754681
"Golan Heights"	0.0749056
Irbil	0.072598
"More than two-thirds"	0.0713097
"Fifty-five percent"	0.0707514
pullbacks	0.069469
"nearly one-fifth"	0.0675188
"More than one third"	0.0671865
Kargil	0.0653133
"parcel of land"	0.0652971
Bishara	0.0648346
Babitsky	0.0642854
"Sixty percent"	0.0631426
usurpation	0.0627608
annexation	0.0619482
Jezzine	0.0617752
Ntakirutimana	0.0617639
"Seventy-five percent"	0.0615756
"about one-quarter"	0.0612116
"Thirty percent"	0.0606965
"Fifty percent"	0.0598052
upland	0.0594412
Ecuadoreans	0.0590853
"eight percent"	0.0590668
"About @@.@ percent"	0.058729
"Twenty-five percent"	0.0586047
"over two-thirds"	0.0579492
"roughly two-thirds"	0.05744
"Forty-five percent"	0.0574022
"about @@,@@@ acres"	0.0573613
"ten percent"	0.0561016
"Fifteen percent"	0.0550111
"almost one-third"	0.0547513
"about @@@ acres"	0.0543091
"about two-thirds"	0.0542811
"Nearly three-quarters"	0.0541227
captaincy	0.0537454
"over one-third"	0.0534403
thirds	0.0531263
"More than three quarters"	0.0524581
"Eighty percent"	0.0511909
"ABM Treaty"	0.0509772
"heavy weapon"	0.050188
"more than @@,@@@ hectares"	0.0499661
centimeter	0.0496228
"another third"	0.0494286
Braugher	0.04921
Venables	0.0490586
mayorship	0.0489417
"Andrei Babitsky"	0.0485774
"Panama Canal"	0.0485099
"Iraqi POWs"	0.0483498
"about @@@,@@@ hectares"	0.0477333
"about @@@,@@@ acres"	0.0473258
one-fourth	0.0472035
"More than three-quarters"	0.0471059
Turetzky	0.0467951
"Almost three-quarters"	0.0457974
Judaization	0.0457646
"over one third"	0.0456127
plurality	0.0455712
"one fifth"	0.0453077
"one sixth"	0.0450946
three-fourths	0.045013
Quebecers	0.0446463
"Forty percent"	0.0445439
"seven percent"	0.0444935
Xanana	0.0443314
"military control"	0.0438042
"De Palma"	0.04376
"about five percent"	0.043182
Sinai	0.0429912
"About @@ per cent"	0.0427083
"Ninety percent"	0.0426879
"about one third"	0.0426164
"over @,@@@ hectares"	0.0424321
"Abu Dis"	0.0421514
Gusmao	0.042147
"two quarters"	0.0420703
"square meter"	0.041656
fifths	0.041419
Sumaye	0.0412234
"less than one-third"	0.041047
Azad	0.0410188
"million acres"	0.0407647
"Jordan Valley"	0.0405567
"personal letter"	0.0405515
Seligman	0.0402924
))
("Another @@@" (desc 8660.93) (sims
"Another @,@@@"	0.22169
"over @,@@@"	0.197629
"nearly @,@@@"	0.189943
"another @@"	0.189525
"nearly @@,@@@"	0.180587
"nearly @@@"	0.179963
"more than @,@@@"	0.178842
"over @@,@@@"	0.172007
"another @@,@@@"	0.167276
"more than @@@"	0.165232
"About @,@@@"	0.156838
"over @@@"	0.154289
"about @@@"	0.153864
"another @@@,@@@"	0.152299
"nearly @@@,@@@"	0.148429
"up to @@,@@@"	0.147638
"Two hundred"	0.147546
"up to @,@@@"	0.146493
"more than @@@,@@@"	0.14531
"first @@@"	0.144564
"more than @@,@@@"	0.143733
"almost @,@@@"	0.13905
"almost @@@"	0.138593
"another six"	0.135527
"almost @@,@@@"	0.133628
"over @@@,@@@"	0.1316
"close to @,@@@"	0.130914
"about @@,@@@"	0.128825
"roughly @@@"	0.128085
"about @@"	0.127824
"up to @@@"	0.124823
"More than @.@ million"	0.124462
"roughly @,@@@"	0.122281
"One Million"	0.121191
"another seven"	0.120862
"over @.@@ million"	0.119507
"Three hundred"	0.118877
"Another two"	0.118353
"other @@@"	0.116735
"roughly @@,@@@"	0.116596
"more than one million"	0.116372
"close to @@@"	0.115972
"over @.@ million"	0.115572
"nearly one million"	0.115265
"two million"	0.114572
"more than @@"	0.114237
"Over two million"	0.113819
"More than two million"	0.113417
"more than @ million"	0.11099
Twelve	0.110518
"another nine"	0.110232
"Nearly @.@ million"	0.109287
"about @@@,@@@"	0.109186
"about @@@ to @@@"	0.10899
"Around @@"	0.106397
"another three"	0.106326
"almost @ million"	0.104329
"more than @@ million"	0.103767
"almost @@@,@@@"	0.10325
"Other @@"	0.102512
"close to @@,@@@"	0.101716
"three million"	0.101608
"roughly @@@,@@@"	0.101483
"up to @@@,@@@"	0.100841
"About one million"	0.100698
Eleven	0.0996778
"Around @@@"	0.0996094
"Four million"	0.0993437
"nearly @ million"	0.0990484
"More than three million"	0.0989553
"another five"	0.0988983
Sixteen	0.0987687
Fifteen	0.0986492
"nearly @@ million"	0.0978014
"About three million"	0.0964796
"two dozen"	0.0962396
"Over one million"	0.0959788
"over @@"	0.0959726
twenty	0.0955684
"another four"	0.0955163
"up to @@"	0.0953961
"almost @@ million"	0.0948289
"about @.@ million"	0.0943909
"eight million"	0.0936859
Thirteen	0.0908976
"more than four million"	0.0908421
"six million"	0.0898738
"about @ million"	0.0889868
"up to seven"	0.0880748
"up to six"	0.0880376
"five million"	0.0880126
"Another eight"	0.0876207
Fourteen	0.0857712
"ten thousand"	0.0850143
"up to eight"	0.0837269
Forty-four	0.0831869
Thirty-two	0.083002
"more than @.@@ million"	0.0826848
"over @ million"	0.0821313
"nearly @@"	0.0816551
nine	0.0815342
Eighteen	0.0807494
"About two million"	0.0807387
hundred	0.0806903
"over @@ million"	0.0804155
"more than @@@@"	0.0801533
Thirty	0.0799773
Thirty-six	0.0799235
"up to @ million"	0.0798646
eight	0.0792053
Thirty-five	0.07828
"Seven million"	0.0780696
Nineteen	0.0775215
forty	0.0771041
"less than @,@@@"	0.0768713
ten	0.0768067
Six	0.0761852
"more than eight"	0.0760932
"about seven"	0.0756728
sixty	0.0745422
"about six"	0.0745381
servicemen	0.0744321
"less than @@@"	0.0736653
"five to @@"	0.0732313
"Kosovar Albanian"	0.0730158
Kurd	0.0725922
seven	0.0724518
"about @@ million"	0.072393
"about @@ to @@"	0.0721229
"three to four"	0.0714347
"another @.@ million"	0.0712945
"six to eight"	0.0712006
"other eight"	0.0711476
Forty-five	0.0709118
"more than ten"	0.0699108
Thirty-three	0.0698178
"other two"	0.0690414
"roughly @@"	0.068546
eighty	0.0684048
Thirty-nine	0.0680851
"more than seven"	0.0673096
"nine million"	0.0669748
"other four"	0.0669292
"four to five"	0.0663348
"about @@@ million"	0.0662508
"other five"	0.0659396
Forty-seven	0.0658718
"more than five"	0.065682
"More than two"	0.0653001
Thirty-four	0.0650827
Rwandese	0.0645949
"more than @@@ million"	0.0637991
"four to six"	0.0635592
"Another @@ million"	0.0633132
non-Jewish	0.0631968
"half a dozen"	0.0630074
"about eight"	0.0628749
"another @ million"	0.0625142
"about two"	0.0624063
"less than @@,@@@"	0.062046
"About @.@@ million"	0.0616227
"two to three"	0.0614706
"more than three"	0.0613511
"turning away"	0.0613085
policemen	0.0602971
"up to @@ million"	0.0602799
Forty-two	0.0598071
"a few"	0.0596773
"other three"	0.059349
plainclothes	0.0591037
slain	0.0589576
"other seven"	0.0589009
Ingush	0.0587352
"Cessna @@@"	0.0583568
fulltime	0.0581197
"up to three"	0.0580723
"other six"	0.0573432
"More than nine"	0.0571486
"Ethnic Albanian"	0.0569844
"up to four"	0.0568314
"another @"	0.0568106
Fifty	0.0567475
seventeen	0.056451
"six to @@"	0.0560204
"East Timorese"	0.0557661
Thirty-one	0.0554051
"close to @@"	0.0547962
"eight to @@"	0.054567
Gurkha	0.0544026
Thirty-eight	0.0540846
"another one"	0.0538442
Timorese	0.0535053
"Nearly two"	0.0532125
turboprop	0.0531797
"about three"	0.0528443
Croat	0.052659
"more than six"	0.0526053
"three to five"	0.0524183
"Sierra Leonean"	0.0522768
"nearly @@@ million"	0.052175
))
("another @@@ million" (desc 1181.66) (sims
"About @ billion"	0.297362
"Another @@ million"	0.275268
"more than @@ billion"	0.268331
"about @.@ billion"	0.265912
"about @@ billion"	0.255658
"up to @@ million"	0.226901
"another @ million"	0.207563
"nearly @@@ million"	0.206961
"one billion"	0.204175
"more than @.@ billion"	0.202222
"more than @ billion"	0.200692
"two billion"	0.191463
"more than @@@ million"	0.187273
"Seven million"	0.165977
"over @@@ million"	0.159928
"another @.@ million"	0.146889
"about @@@ million"	0.144154
"more than @@ million"	0.13557
"About three million"	0.130423
"five million"	0.129435
"eight million"	0.125486
"over @@ million"	0.116827
"nearly @@ million"	0.116136
"two million"	0.115287
"Four million"	0.11367
"three million"	0.110955
"about @.@@"	0.110646
"One Million"	0.103492
"up to @ million"	0.0993862
"About @.@@ million"	0.099349
"another @@@,@@@"	0.0979069
"over @.@@ million"	0.096326
"About two million"	0.0953062
"over @.@ million"	0.0947295
"nine million"	0.0941805
"six billion"	0.092189
"Over two million"	0.0913813
"More than three million"	0.0899066
"more than four million"	0.087557
"About one million"	0.0846128
"about @.@ million"	0.0821821
"up to @@@,@@@"	0.0809892
"about @@ million"	0.0798422
"about @ million"	0.0795939
"More than two million"	0.0792522
"about @@.@ million"	0.0785457
"roughly @@@,@@@"	0.0785044
"six million"	0.077821
"Over one million"	0.0732135
"over @ million"	0.0726993
"more than one million"	0.0712114
"Three billion"	0.0711428
"More than @.@ million"	0.0700981
"about nine"	0.068647
Sacagawea	0.0683947
"nearly @@,@@@"	0.0666402
"nearly one million"	0.0650235
"up to @@,@@@"	0.0640995
"more than @ million"	0.0618159
"about @.@"	0.0601729
"more than @@@ million dollars"	0.059961
"million yuan"	0.0584661
"Nearly @.@ million"	0.0580691
"almost @ million"	0.0566181
Cartier	0.0564081
"five billion yuan"	0.0555014
"one million US dollars"	0.0551306
"more than @@ million dollars"	0.0549766
"almost @@ million"	0.0541799
"over @@@ million US dollars"	0.0535282
"over @@ million US dollars"	0.0528108
"billion yuan"	0.0524623
"nearly @ million"	0.0523594
Rolex	0.052339
"two billion US dollars"	0.0520595
"Susan B. Anthony"	0.0514433
"Three hundred"	0.0507084
"more than @.@@ million"	0.0496702
"almost @,@@@"	0.0490642
"more than @.@ billion US dollars"	0.0490421
"more than @ billion dollars"	0.0487785
"more than @@@ million US dollars"	0.0484579
"more than eight"	0.0482923
"about @@@ to @@@"	0.0474651
"less than @@@"	0.0472259
"up to seven"	0.0472103
"more than seven"	0.0471269
Thirty-five	0.0471251
millon	0.0463202
Casio	0.04611
multibillion	0.0458412
"almost @@@,@@@"	0.0439438
"more than @@@,@@@ yuan"	0.0438433
"less than @,@@@"	0.043559
"one billion US dollars"	0.0433301
"five to @@"	0.0425264
"nearly @@@,@@@"	0.0421127
"roughly @,@@@"	0.0419988
"close to @@,@@@"	0.041996
"more than @@ million US dollars"	0.0419495
"about @@ billion yuan"	0.0415086
Thirty-nine	0.0410538
"less than @@"	0.0405927
"dollar amount"	0.0405014
quartz	0.0403734
"up to @,@@@"	0.0402673
"roughly @@,@@@"	0.0401483
))
("another @@@,@@@" (desc 3710.37) (sims
"nearly @@@,@@@"	0.251381
"up to @@@,@@@"	0.244079
"another @@,@@@"	0.237595
"over @.@ million"	0.232652
"another @ million"	0.228632
"more than one million"	0.224441
"another @.@ million"	0.214373
"over @@@,@@@"	0.213875
"almost @@@,@@@"	0.210271
"almost @@,@@@"	0.209593
"three million"	0.208957
"Over one million"	0.204428
"More than two million"	0.203409
"nearly one million"	0.203205
"More than three million"	0.202936
"Four million"	0.200551
"Another @,@@@"	0.199581
"nearly @ million"	0.199291
"more than @ million"	0.19806
"More than @.@ million"	0.197877
"over @@,@@@"	0.19774
"more than @@@,@@@"	0.197155
"six million"	0.194732
"roughly @@@,@@@"	0.191373
"nearly @@ million"	0.189084
"five million"	0.188066
"about @@@,@@@"	0.18633
"Nearly @.@ million"	0.185023
"nearly @@,@@@"	0.184777
"almost @@ million"	0.184019
"two million"	0.180139
"About three million"	0.178844
"over @@ million"	0.178566
"more than four million"	0.175741
"almost @ million"	0.175207
"Seven million"	0.174214
"One Million"	0.174026
"up to @ million"	0.173916
"about @.@ million"	0.170921
"more than @@ million"	0.167877
"up to @@,@@@"	0.167352
"about @ million"	0.165819
"up to @,@@@"	0.162775
"more than @@,@@@"	0.162774
"About two million"	0.162656
"roughly @,@@@"	0.161276
"over @,@@@"	0.161121
"over @ million"	0.160941
"almost @,@@@"	0.15947
"Another @@ million"	0.157971
"About one million"	0.157502
"about @@,@@@"	0.156546
"more than @.@@ million"	0.156494
"nearly @,@@@"	0.15541
"Over two million"	0.152742
"Another @@@"	0.152299
"roughly @@,@@@"	0.150419
"over @.@@ million"	0.149098
"about @@ million"	0.141593
"nine million"	0.141327
"ten thousand"	0.140362
"About @.@@ million"	0.138572
"more than @,@@@"	0.136011
"over @@@ million"	0.135008
"more than @@@ million"	0.134872
"eight million"	0.133862
"close to @,@@@"	0.129251
"About @,@@@"	0.127165
"nearly @@@ million"	0.125452
"nearly @@@"	0.12391
"up to @@ million"	0.122402
"About @ billion"	0.12152
"about @@@ million"	0.118197
"about @@@ to @@@"	0.118158
"Three hundred"	0.11765
"close to @@,@@@"	0.117537
"roughly @@@"	0.115071
"another @@"	0.113496
"about @@.@ million"	0.113472
"less than @,@@@"	0.113171
"almost @@@"	0.108377
"over @@@"	0.108078
"less than @@,@@@"	0.107643
"about @@@"	0.106181
"up to @@@"	0.101144
Kosovar	0.0990995
"another seven"	0.0987075
"Kosovar Albanian"	0.0985526
non-Jewish	0.0983393
"more than @.@ billion"	0.0980675
"another @@@ million"	0.0979069
"another three"	0.0970549
"more than @@@@"	0.0967813
"two billion"	0.0959127
"about @.@ billion"	0.0950231
"more than @@@"	0.094632
"one billion"	0.0945329
"Around @@"	0.0898159
"more than eight"	0.0888227
"close to @@@"	0.0886542
"Two hundred"	0.087468
"about @@"	0.0855486
"less than @@@"	0.0834121
"up to three"	0.0832053
"another five"	0.0820939
"another six"	0.0820845
"Three billion"	0.0811159
"Around @@@"	0.0805333
"about nine"	0.0801594
"another nine"	0.0794836
"about @.@"	0.0783653
"six to @@"	0.0778348
"two dozen"	0.077438
"first @@@"	0.0767177
Twelve	0.0765127
"Other @@"	0.0764885
forty	0.0764111
"more than @@"	0.0763807
"more than @ billion"	0.0761847
nonwhite	0.0760266
"more than seven"	0.0753296
Fifteen	0.0750848
"more than @@ billion"	0.0742775
Hmong	0.072787
"more than six"	0.0724201
Twenty-seven	0.0720507
"six to eight"	0.0717104
"about @@ billion"	0.0697016
Thirty-six	0.0690497
"Nearly two"	0.0687712
Thirty	0.0679738
"four to five"	0.0677348
"up to seven"	0.0676886
"up to @@"	0.0676276
Okinawan	0.0674323
"Another two"	0.0674173
non-Hispanic	0.067219
"up to two"	0.0672132
"other @@@"	0.0668991
Forty-seven	0.0668337
slain	0.0667563
"Bosnian Muslim"	0.066478
"over @@"	0.066436
"six billion"	0.0660305
"More than two"	0.0657878
"another four"	0.0653316
low-income	0.0650837
"more than five"	0.0645539
"roughly @@"	0.0642192
"Another eight"	0.0641458
"Ethnic Albanian"	0.0641082
"about seven"	0.063987
"less than five"	0.0636474
Thirty-four	0.0635344
Amish	0.0628218
"about six"	0.0626672
Thirteen	0.0623894
Rwandese	0.0621194
"two to four"	0.0620973
"North Africans"	0.062021
non-Muslim	0.0616626
Timorese	0.0616434
workfare	0.0615415
Eighteen	0.0614877
eighty	0.0614344
"another @"	0.061004
"nearly @@"	0.0608932
"eight to @@"	0.0606314
"Kosovo Albanian"	0.0604952
"turning away"	0.0604429
"about @@ to @@"	0.0603676
"East Timorese"	0.0602358
Fifty	0.0600818
Bedell	0.0599257
"five to @@"	0.0598855
"four to six"	0.0595111
Ingush	0.0593131
"up to four"	0.0591891
"about two"	0.0581776
"about five"	0.0581289
"two to three"	0.0580094
"more than ten"	0.0579118
"about four"	0.0578158
"other seven"	0.0574573
expatriate	0.0573795
Fourteen	0.0572304
Eleven	0.0568381
Kurd	0.0565252
"three schools"	0.0564613
Thirty-three	0.0564516
"about three"	0.0562883
Sixteen	0.0562809
Druse	0.0562586
Nineteen	0.055956
Propulsid	0.0557245
"fourth generation"	0.0555517
"more than three"	0.0552284
Maltese	0.0543487
Thirty-nine	0.0541551
twenty	0.0539009
))
("Another eight" (desc 1638.75) (sims
"another seven"	0.153797
"another @@"	0.141612
"another nine"	0.133267
"another five"	0.12149
"Other @@"	0.117372
Thirty-three	0.117016
"another four"	0.115863
"other seven"	0.113786
"another six"	0.113194
"Another two"	0.112732
"other five"	0.112468
"other @@@"	0.108241
Eighteen	0.108171
Forty-two	0.107598
"Around @@@"	0.106339
Forty-seven	0.105153
"over @,@@@"	0.104832
"more than ten"	0.104325
"another three"	0.101756
"over @@@"	0.101087
"close to @@@"	0.100658
"other eight"	0.0987037
"nearly @,@@@"	0.0984596
Twelve	0.0983216
twenty	0.0971547
Thirty-five	0.095942
Fifty-five	0.0953914
Forty-four	0.0946048
Thirty	0.0935943
Nineteen	0.0926025
"more than eight"	0.0924387
Eleven	0.0922526
"Another @,@@@"	0.0913507
"nearly @@@"	0.0906816
"nearly @@,@@@"	0.0879161
"Another @@@"	0.0876207
"over @.@@ million"	0.0862218
Thirty-nine	0.0855083
Fourteen	0.0852808
"another @@,@@@"	0.0852198
Thirty-six	0.0851631
"up to @,@@@"	0.0839816
forty	0.0834569
"More than two"	0.0832826
Sixteen	0.0831291
"Around @@"	0.0827822
"more than @,@@@"	0.0821835
"up to seven"	0.0816231
Thirty-four	0.0815641
"up to three"	0.0806938
Fifty	0.0801879
Thirteen	0.079972
"other four"	0.0793025
"almost @@@"	0.0787395
"over @@,@@@"	0.0778489
"roughly @,@@@"	0.07759
"More than three million"	0.0772218
"up to five"	0.0771335
Thirty-two	0.0771141
"more than @@@@"	0.0767453
"up to @@"	0.0754609
"about five"	0.0751309
"more than @@,@@@"	0.0740357
"almost @,@@@"	0.0728013
"other three"	0.0721825
"up to @@@,@@@"	0.0703799
"Two hundred"	0.070079
eighty	0.06969
Fifteen	0.0695891
Thirty-eight	0.0691835
"more than @.@@ million"	0.0685632
"nearly @@@,@@@"	0.0673994
"nearly @@"	0.0671775
"more than five"	0.0666587
"six million"	0.0660553
"another @"	0.0656447
Ingush	0.0656337
"close to @@"	0.0647356
"about seven"	0.0644996
"almost @@,@@@"	0.06436
"another @@@,@@@"	0.0641458
"another @ million"	0.0638933
Kashmiri	0.0633134
Forty-five	0.0628181
"eight million"	0.0626716
"two to three"	0.0626285
"more than seven"	0.0622165
"two dozen"	0.0621444
Hani	0.0620158
"More than @.@ million"	0.0617495
"about @@ to @@"	0.0617289
NGO	0.0611256
"Over two million"	0.0609918
"two to four"	0.0609406
"about three"	0.0603909
PBA	0.0603682
"roughly @@,@@@"	0.0597407
"up to @ million"	0.0596475
"Ethnic Albanian"	0.0596295
Zapatista	0.0595756
Cepeda	0.0594198
"about nine"	0.0592577
"up to six"	0.0590912
Alcorn	0.058953
"eight to @@"	0.0581943
"about eight"	0.0578143
"up to two"	0.0576558
Timorese	0.0575314
Thirty-one	0.0574758
"roughly @@@"	0.0573174
"less than @,@@@"	0.0564901
"About @ billion"	0.0562806
"three million"	0.0562692
"close to @,@@@"	0.0559184
"other six"	0.0558741
"four to six"	0.055767
"more than @ billion"	0.0553699
Ibo	0.0551217
"more than six"	0.0548301
"Three key"	0.054779
"ten thousand"	0.0547618
"Seven million"	0.0547123
Rankin	0.0547118
"three to five"	0.0542572
"More than two million"	0.0541422
"about four"	0.0541243
"over @@@,@@@"	0.0538103
"over @.@ million"	0.0538022
first-class	0.0537197
Moxley	0.0529671
"close to @@,@@@"	0.0529364
"other nine"	0.0523458
"Reggie Lewis"	0.0521299
"up to @@@"	0.05212
Abortion-rights	0.0519687
Kurdish	0.0517416
"about six"	0.0514366
"half a dozen"	0.051189
SPLA	0.0510713
"six to eight"	0.0508227
Lockerbie	0.0508161
veep	0.0507443
"seven to @@"	0.050623
McDuff	0.0505822
"over two"	0.0504837
"up to @@ million"	0.0503505
"more than three"	0.0501022
"turning away"	0.0500913
O'Hair	0.0499728
"up to four"	0.0498349
"first @@@"	0.0497897
p.r	0.0497358
"Four million"	0.0496974
resolving	0.0495874
sixty	0.0495358
"more than one million"	0.049409
"Malik Sealy"	0.0492029
seventeen	0.0489233
"almost @@@,@@@"	0.0489142
"nearly @ million"	0.0487466
"two million"	0.0487352
Ijaw	0.0486348
Camerounian	0.0484897
Abkhazian	0.0483839
Khmer	0.0482204
"nearly one"	0.0482019
"about two"	0.0481796
"up to eight"	0.0481369
"almost @@"	0.0479314
Chinese-American	0.047822
"black person"	0.0477561
"About one million"	0.0471639
Croat	0.04709
Islamist	0.0469776
Dahmer	0.0469305
"Kosovo Albanian"	0.0463405
"About two million"	0.046055
Kazak	0.0460245
"Kosovar Albanian"	0.0458628
nuts-and-bolts	0.0457886
Sinhala	0.0456566
Pastore	0.0455208
"three to four"	0.0454942
"Less than one"	0.0453244
"less than @@"	0.0453128
"two @@@@"	0.0450238
"five to @@"	0.0449532
"Shiite Muslim"	0.0446734
skydiver	0.0444258
gopher	0.0444077
"about @ million"	0.0440465
Turgeon	0.043901
"almost two"	0.0435614
"Bosnian Croat"	0.0434875
"roughly @@@,@@@"	0.0431221
"about @@@ million"	0.0431061
LASIK	0.043033
"About three million"	0.0430252
PCF	0.0426757
"East Timorese"	0.0426012
))
("another first" (desc 1216.3) (sims
"one first"	0.112514
"two first"	0.0814605
"a few hundred dollars"	0.059031
"Chinese Basketball League"	0.0510615
firsts	0.0507725
"trial balloon"	0.0507061
SIDS	0.0500942
"Vision @@@@"	0.0496784
"pretax charge"	0.0481228
"moral obligation"	0.0469668
Loeb	0.0465041
Whitbread	0.0464849
croquet	0.0427996
hole-in-one	0.0421034
"Marcus Outzen"	0.0418876
Holyfield-Lewis	0.0416173
"Family Court"	0.0407427
"another nine"	0.0406922
megaphone	0.0403883
tune-up	0.0400177
"two baskets"	0.0400066
))
("another five" (desc 2275.35) (sims
"another nine"	0.196252
"another four"	0.170416
"another six"	0.141542
"another seven"	0.141037
"Another two"	0.137186
"more than five"	0.133753
"another @"	0.129825
"another @@"	0.128035
"Another eight"	0.12149
"another three"	0.120569
"other @@@"	0.11795
"Around @@@"	0.113267
"roughly @@@"	0.112793
"Other @@"	0.112146
Thirty-six	0.111845
"Two hundred"	0.111071
"another @@,@@@"	0.110689
"more than ten"	0.110583
Thirty-three	0.11038
Thirty-five	0.107864
Fifteen	0.105704
"more than three"	0.105494
"other four"	0.105428
"more than eight"	0.104482
Sixteen	0.104001
Fourteen	0.102906
forty	0.100317
Thirty	0.0994207
"Another @@@"	0.0988983
"Another @,@@@"	0.0973777
"other five"	0.0963397
"over @,@@@"	0.096255
"about six"	0.0959467
Fifty-five	0.0951659
"up to @,@@@"	0.0949551
"up to four"	0.0948683
"over @.@@ million"	0.094711
Twelve	0.0944997
"up to six"	0.0934965
"over @@@"	0.0934845
"up to seven"	0.0932869
"close to @,@@@"	0.0928218
Thirty-two	0.0926576
"almost @@@"	0.0926406
"more than @@@"	0.0919272
"up to three"	0.0917884
"other seven"	0.091215
"Around @@"	0.0909044
"over four"	0.0903728
"other three"	0.0902742
Forty-five	0.0882541
Forty-two	0.0881395
"more than six"	0.0879129
Eleven	0.0872525
"up to @@,@@@"	0.0872462
"nearly @@@"	0.0872214
Forty-four	0.0867766
"nearly @,@@@"	0.086642
"More than nine"	0.0862585
"up to @@@"	0.0853876
Nineteen	0.0845262
"more than four"	0.0843853
Thirty-eight	0.0839074
"About two million"	0.0830123
"nearly four"	0.0829712
Thirty-nine	0.0828879
Eighteen	0.0823222
"another @ million"	0.0822533
"more than @@@@"	0.0821262
"another @@@,@@@"	0.0820939
"Kosovar Albanian"	0.0816251
"up to five"	0.0813475
"More than two"	0.0811609
"nearly @@,@@@"	0.0810409
"four to five"	0.0800069
"other eight"	0.0798087
"over @@@,@@@"	0.0796221
"nearly @@@,@@@"	0.0794036
"more than @,@@@"	0.078617
Thirteen	0.0785806
Thirty-four	0.0783455
Forty-seven	0.0776541
"about eight"	0.0771892
"More than two million"	0.0766523
"nearly @ million"	0.0760153
"almost @,@@@"	0.0758855
"More than three million"	0.0757706
"more than @@,@@@"	0.0752468
twenty	0.0749652
"roughly @,@@@"	0.0746596
"two dozen"	0.0745212
eighty	0.0744408
"over @@,@@@"	0.0738142
"nearly three"	0.0730784
"Ethnic Albanian"	0.0730037
"close to @@@"	0.0728645
Thirty-one	0.0726861
"almost @@@,@@@"	0.0726581
Ingush	0.0719998
"Nearly two"	0.0716711
"Over two million"	0.0715736
Fifty	0.0698248
"three million"	0.0696199
"Bosnian Muslim"	0.0689647
"six to @@"	0.0689203
"almost @ million"	0.0683893
"close to @@,@@@"	0.0682764
"more than @@@,@@@"	0.0681078
"up to @@@,@@@"	0.068022
"less than two"	0.0676246
"eight to @@"	0.0672724
"other nine"	0.0672716
"two to four"	0.0667755
Kosovar	0.0663393
"over three"	0.0662509
"roughly @@"	0.0661133
"About @,@@@"	0.0660531
"about five"	0.0652131
"more than one million"	0.0648492
"over @.@ million"	0.0647156
"four to six"	0.0645266
"more than @.@@ million"	0.0644632
Kashmiri	0.0642698
"nearly @@"	0.0642005
Okinawan	0.0640673
"about two"	0.0627391
slain	0.062086
"six to eight"	0.0618893
"up to @ million"	0.061479
"over two"	0.0614147
"up to @@"	0.0604029
"other two"	0.0602294
"more than seven"	0.0601225
"nearly one million"	0.0601197
"three to five"	0.0599738
"six million"	0.0590473
"two million"	0.0589669
"first two"	0.0586913
"ten thousand"	0.05861
Nkabinde	0.0582979
"other six"	0.0579697
"Shiite Muslim"	0.0578083
"first @@@"	0.057513
"Over one million"	0.0571127
"nearly @@ million"	0.0571058
"more than @ million"	0.0570605
"roughly @@,@@@"	0.056594
seventeen	0.0565788
"almost @@,@@@"	0.0564971
"two to three"	0.0563679
"up to eight"	0.0563461
"about three"	0.055929
"About three million"	0.0558171
sixty	0.055804
"Four million"	0.0556374
"Three key"	0.0554903
"first four"	0.0553902
non-Muslim	0.0552818
"Three hundred"	0.0551043
"half a dozen"	0.0550276
MRTA	0.0543897
"sixth and seventh"	0.0541622
"five million"	0.0541301
"One Million"	0.0541215
"up to two"	0.0538249
"More than @.@ million"	0.0533311
"first three"	0.0533023
"eight million"	0.0531466
"almost @@"	0.0529576
"about seven"	0.0525335
"over @ million"	0.0522948
Ivorian	0.0517947
"up to @@ million"	0.0509479
Twenty-five	0.050945
passerby	0.0500646
"first nine"	0.0496363
"about @ million"	0.0494874
"About @.@@ million"	0.0490819
"Number @"	0.048941
"about @@ to @@"	0.0488056
"fourth generation"	0.0487391
Filtration	0.0486223
"A few key"	0.0485574
non-American	0.0484331
Khmer	0.048399
"almost two"	0.0481933
"Nearly @.@ million"	0.0480419
"Kosovo Albanian"	0.0479933
"roughly @@@,@@@"	0.0477468
Abkhazian	0.047663
"more than four million"	0.047259
"Another @@ million"	0.0472164
"about @.@ million"	0.0468714
"over six"	0.0467431
"five to @@"	0.0463833
Twenty-seven	0.0459907
"nine million"	0.0459542
Kurd	0.0458875
policewoman	0.0457293
flack	0.0455988
))
("another five years" (desc 1636.13) (sims
"another two years"	0.339556
"another two weeks"	0.280818
"another @@ years"	0.269183
"another six months"	0.238858
"another three years"	0.232693
"another four years"	0.216222
"another @@ days"	0.180384
"another @@ months"	0.1705
"about four years"	0.146068
"up to three months"	0.142853
"over @@ hours"	0.13362
"up to @@ days"	0.131999
"up to two years"	0.127852
"up to @@ months"	0.125206
"up to six months"	0.124385
"more than six months"	0.119882
"six to eight weeks"	0.11693
"nearly five years"	0.114632
"about three years"	0.110815
"eight weeks"	0.10946
"from @@@@-@@@@"	0.107446
"another @@ minutes"	0.105566
"up to two weeks"	0.103875
"more than four months"	0.10064
"up to five years"	0.0990345
"more than three years"	0.0983717
"up to @@ minutes"	0.0964934
"nearly three years"	0.096028
"about @@ months"	0.0958765
"about six weeks"	0.0939479
"eight years"	0.0938304
"nine years"	0.0925183
"nearly two years"	0.0919122
"about five years"	0.0903877
"about two years"	0.089459
"about six months"	0.0894518
"more than three months"	0.0892601
"three to six months"	0.0890252
"up to three years"	0.087695
"more than one year"	0.0874521
"one month"	0.0836433
"almost @@ years"	0.0825158
"about @ @/@ hours"	0.08216
"nearly @@ hours"	0.0813778
"more than five minutes"	0.0809536
"more than six years"	0.0808369
"more than @@@ years"	0.0805442
"four weeks"	0.0804137
"over @@ minutes"	0.080291
"up to @@ years"	0.0797537
"almost three decades"	0.0796632
"over seven years"	0.078576
"two to three years"	0.0777614
"more than @@ hours"	0.077566
"about @@ years"	0.0775277
"more than eight years"	0.0773458
"a few months"	0.0773457
"three to five years"	0.0771578
"about two hours"	0.0771292
"more than three hours"	0.0760289
"more than five years"	0.0758625
"nearly @@ months"	0.0747551
"nearly six years"	0.0743212
"about three hours"	0.0740825
"one week"	0.0740581
"about two minutes"	0.0732919
"six hours"	0.0720036
"more than @,@@@ years"	0.0715811
"up to @@ hours"	0.0715397
"five hours"	0.0713775
"eight hours"	0.0710462
"less than five minutes"	0.0710299
"nearly @@ years"	0.0704909
"right here"	0.0703041
"about one hour"	0.0700567
"less than three years"	0.069343
"more than @@ minutes"	0.0676154
"more than seven years"	0.0674117
"about six hours"	0.0671664
"about three months"	0.0661431
"more than four years"	0.0660621
"less than two years"	0.0658945
"about five minutes"	0.0657025
"next four years"	0.0655661
"over two decades"	0.0654824
"four to six weeks"	0.0640138
"more than two years"	0.0633656
"seven days"	0.0628209
"nine hours"	0.0622507
"nearly four years"	0.0621087
"another three"	0.0610225
"almost three years"	0.0610069
"over @@ years"	0.0602465
"nearly @@ minutes"	0.0595897
"fifth day"	0.0595758
"about @@ days"	0.0593615
"more than @@ months"	0.058223
"seven weeks"	0.0576198
"more than four hours"	0.0570379
"ten years"	0.0568141
"less than @@ minutes"	0.0567852
"almost two decades"	0.0567166
"nearly two months"	0.0560772
"eight days"	0.0558896
"about two months"	0.0552451
"more than two weeks"	0.054756
"almost two years"	0.054069
"hundred years"	0.0533566
"more than @@ days"	0.0529929
"more than two months"	0.0521878
"about three weeks"	0.0519521
"nearly three weeks"	0.0513322
"about four hours"	0.0512828
"nearly two hours"	0.0511642
"more than two hours"	0.0508174
"more than two decades"	0.0507328
"five weeks"	0.0502024
"a few decades"	0.0500303
"nine weeks"	0.0498783
"nearly two weeks"	0.0496307
"next @@ to @@ years"	0.0494862
"over two hours"	0.0494517
"over two years"	0.0488066
"more than three weeks"	0.0468531
"about @@ to @@ minutes"	0.0467818
"million over five years"	0.0467473
"over @@ days"	0.0465158
"six decades"	0.0463813
"five to @@ years"	0.046182
"past six weeks"	0.046172
"nearly three months"	0.0453726
"last three weeks"	0.0445386
"Jan @@-@@"	0.0442972
"four decades"	0.0440533
"less than @@ years"	0.0440055
"nearly three hours"	0.0437058
"seven decades"	0.0432047
"two nights"	0.0430768
"next three days"	0.042948
"seven hours"	0.0429247
"almost four years"	0.0428348
"Political Affairs"	0.0428043
"one weekend"	0.0425467
"next two days"	0.0421793
Longo	0.0420405
"about two weeks"	0.0414673
"last six years"	0.041111
))
("another four" (desc 2519.26) (sims
"Another two"	0.196159
"another nine"	0.17119
"another five"	0.170416
"another six"	0.158697
"another @"	0.155739
"another three"	0.149314
"another seven"	0.143111
"another @@"	0.139662
"more than five"	0.129288
"more than eight"	0.128951
Thirty-five	0.126815
"about six"	0.120816
"Other @@"	0.119061
"Another eight"	0.115863
Thirty-four	0.112259
"more than ten"	0.11165
Thirty-six	0.109825
"more than three"	0.107373
Forty-seven	0.105657
"over four"	0.105587
Twelve	0.105251
"about eight"	0.105245
"about four"	0.104023
Forty-two	0.103849
"first four"	0.103679
Nineteen	0.103143
"nearly three"	0.102705
"other four"	0.0986246
"Around @@"	0.0973512
"other seven"	0.0972512
"Two hundred"	0.0972439
Eleven	0.0968401
"other six"	0.0968132
"about five"	0.0964386
Fifteen	0.0960205
"Nearly two"	0.0960012
"Another @@@"	0.0955163
Thirty-three	0.0948728
Eighteen	0.094867
"other five"	0.0946
Fourteen	0.0945869
"about seven"	0.0940583
"other three"	0.0939357
Thirty-nine	0.0927654
forty	0.0923757
Thirteen	0.0914671
"more than six"	0.0906623
"nearly four"	0.090371
"Three key"	0.0899731
"another @@,@@@"	0.0867646
"More than two"	0.0867532
"nearly @,@@@"	0.086747
"other eight"	0.0866565
Thirty-one	0.0863346
"up to five"	0.0861729
"almost @@@"	0.0853451
Sixteen	0.0844467
"over @,@@@"	0.0840171
"first three"	0.0836945
Thirty-two	0.0832337
"other @@@"	0.0826061
"up to @,@@@"	0.082121
"other two"	0.0820419
"up to seven"	0.0817276
"more than @@@"	0.0816149
"first nine"	0.0811664
"Another @,@@@"	0.0807191
"about three"	0.0801251
"nearly @@@"	0.0798977
"up to three"	0.078856
"Israeli Arab"	0.0787251
"four to five"	0.0778932
croquet	0.0776066
"two dozen"	0.0768925
Forty-four	0.0768794
"more than @@"	0.0766264
"Ethnic Albanian"	0.0757714
"first eight"	0.0756828
"over @@@"	0.0756271
"Kosovar Albanian"	0.0748432
"about two"	0.0748361
"almost @,@@@"	0.0736049
"nearly @@"	0.0731766
MRTA	0.0730144
"up to eight"	0.0727485
"more than four"	0.0725568
"up to @@"	0.0720696
twenty	0.0719136
Forty-five	0.0718633
"six to eight"	0.0717626
"first seven"	0.0713114
"up to four"	0.0702954
Thirty	0.0702827
"two key"	0.0697357
"half a dozen"	0.069671
"Around @@@"	0.0679126
"first @@"	0.0678629
"three to four"	0.0678258
"close to @,@@@"	0.0676865
"over five"	0.0674945
"more than @,@@@"	0.0674888
seventeen	0.0671575
"close to @@@"	0.0670936
"fifth and sixth"	0.0669865
"next three"	0.0666654
"less than two"	0.0663919
"roughly @,@@@"	0.0660595
"over two"	0.0657618
Thirty-eight	0.0657179
"first six"	0.0655195
"first @@@"	0.0654578
"another @@@,@@@"	0.0653316
"South Korean"	0.0652544
"over @@,@@@"	0.0650725
"over @@"	0.064964
"other nine"	0.0649074
"first five"	0.0644812
"sixth and seventh"	0.0642157
"three to five"	0.064019
"More than nine"	0.0637216
Kashmiri	0.062539
"more than @@,@@@"	0.0623568
Camerounian	0.0619945
"four key"	0.0619213
Twenty-seven	0.0615233
"up to @@,@@@"	0.0612738
"A few key"	0.0611356
Snead	0.0608868
"up to six"	0.0607148
"About @,@@@"	0.0604925
"next two"	0.060425
"next four"	0.0598186
"four to six"	0.0586942
"almost two"	0.0586633
"roughly @@"	0.0586478
"first two"	0.0584429
Fifty	0.0583167
"next five"	0.0580954
"about @@@ to @@@"	0.057812
"Less than one"	0.0574576
"six million"	0.0573403
eighty	0.0571505
"Shiite Muslim"	0.0569606
"five to @@"	0.0569077
"nearly @@,@@@"	0.0567015
"Bosnian Muslim"	0.0558642
"Over one million"	0.0557844
"eight to @@"	0.0557107
Kosovar	0.0546611
"over three"	0.0543794
"up to @@@"	0.054077
Fifty-five	0.0537386
Hani	0.0535144
ITU	0.0529089
passerby	0.0528565
"about @@ to @@"	0.0528178
"close to @@,@@@"	0.0526676
"Three hundred"	0.0525571
Kurd	0.0523806
"Federation Cup"	0.0522624
twenty-two	0.0520481
"Four million"	0.0519467
"more than @@@@"	0.0517795
"over six"	0.0516718
EP	0.0516359
"up to two"	0.0515018
Maoist	0.0513598
"more than one"	0.0507868
Biko	0.0506489
Inuit	0.0505592
"over @@@,@@@"	0.0504577
"more than seven"	0.050303
twenty-eight	0.0503001
"about nine"	0.0502409
"deep space"	0.0501638
DPR	0.0498778
"Los Angeles City Council"	0.0495139
"more than @@@,@@@"	0.0492911
"nearly @@@,@@@"	0.049199
serviceman	0.0491419
twenty-six	0.0491334
"nearly one million"	0.0490947
"third one"	0.0490581
"roughly @@,@@@"	0.0490043
"over @ million"	0.0489626
sherpa	0.0486321
"two million"	0.0485795
"Over two million"	0.0485071
Younger	0.0482408
Okinawan	0.0482216
state-level	0.0481678
"roughly @@@"	0.0481506
Opel	0.0477413
PCC	0.047562
"next @@"	0.0475467
seventy	0.0475289
Sinhala	0.0474357
"three million"	0.0473217
"mentally retarded"	0.0472153
"About one"	0.0471197
))
("another four years" (desc 1179.85) (sims
"another two years"	0.271724
"another two weeks"	0.218942
"another five years"	0.216222
"another six months"	0.213677
"another @@ days"	0.210633
"another @@ months"	0.184738
"another three years"	0.161815
"up to three months"	0.155684
"another @@ years"	0.15457
"up to @@ minutes"	0.14939
"up to @@ days"	0.12725
"about three years"	0.12383
"about two minutes"	0.122844
"nearly five years"	0.122162
"about six weeks"	0.110861
"more than six months"	0.110126
"more than @@ days"	0.106149
"over @@@ years"	0.102915
"up to two years"	0.0998389
"about @@ months"	0.0977222
"up to six months"	0.097237
"almost three years"	0.0968017
"more than six years"	0.0957936
"nearly six years"	0.0917027
"up to @@ hours"	0.0914028
"more than four years"	0.0914008
"another @@ minutes"	0.0897177
"nearly four years"	0.0872914
"almost two years"	0.0864002
"more than seven years"	0.0851471
"almost two hours"	0.0842398
"up to two weeks"	0.0829165
"up to @@ months"	0.0818502
"over two hours"	0.0793476
"about three months"	0.0788498
"nearly @@ hours"	0.0780752
"over @@ hours"	0.0770073
"about six hours"	0.0767066
"three to six months"	0.0765543
"about two weeks"	0.0763105
"about five minutes"	0.0760783
"more than five years"	0.0758954
"up to three years"	0.0758676
"two to three weeks"	0.0753056
"more than three hours"	0.0744473
"about four years"	0.0743598
"more than five minutes"	0.0738788
"more than two weeks"	0.0736601
"up to five years"	0.0712979
"about six months"	0.0700856
"eight weeks"	0.0673718
"nearly three years"	0.0661334
"nearly two years"	0.0655476
"almost @@ years"	0.0655202
"more than four months"	0.0648765
"about @@ years"	0.0647622
"nearly two hours"	0.0643797
"nearly two weeks"	0.0642875
"more than @@@ years"	0.0642077
"about two hours"	0.0641069
"more than three years"	0.0640933
"nearly two months"	0.0639298
"more than three weeks"	0.063858
"about @@ hours"	0.0638026
"over @@ months"	0.0634091
"up to @@ years"	0.0627965
"more than @,@@@ years"	0.0621429
"more than @@ months"	0.0616194
"seven hours"	0.0604882
"more than three months"	0.0604156
"nearly @@ minutes"	0.0604128
"six decades"	0.0602864
"about two months"	0.0591759
"about @@ to @@ minutes"	0.0590425
"about two years"	0.058971
"two to three years"	0.0587965
"seven weeks"	0.057868
"three to five years"	0.0578318
"three nights"	0.0578228
"more than @@ minutes"	0.0556
"about five years"	0.0540137
"four to six weeks"	0.0534911
"right here"	0.0528805
"about @ @/@ hours"	0.0523805
"about three hours"	0.0513009
"more than eight years"	0.0512069
"seven decades"	0.0507215
"more than one year"	0.0495279
"almost two decades"	0.048413
"more than two months"	0.04768
"about four hours"	0.0472835
"six days ago"	0.047263
"six to eight weeks"	0.0470703
"over two decades"	0.0469929
"about one hour"	0.0469651
"less than three years"	0.0468746
one-night	0.0463299
"over @@ minutes"	0.0463085
"past eight years"	0.045342
"a few decades"	0.0451256
"less than two years"	0.0449558
"almost two months"	0.0444851
"more than four hours"	0.0437568
"almost four years"	0.0430547
"nine weeks"	0.0423398
"nine hours"	0.0419054
"last @@@ years"	0.0415326
"first three years"	0.0414882
"last seven years"	0.0414799
"about @ hours"	0.0414676
"first five days"	0.0402206
))
("another nine" (desc 773.863) (sims
"another five"	0.196252
"another six"	0.18847
"another seven"	0.179207
"another four"	0.17119
Thirty-two	0.151187
Thirty-six	0.147388
"more than eight"	0.144307
Forty-five	0.137525
"another three"	0.136285
Thirty-nine	0.136025
Nineteen	0.135736
"Another eight"	0.133267
Thirty-five	0.130519
"close to @@@"	0.13036
Twelve	0.128735
"another @@"	0.127827
"other @@@"	0.124517
"other five"	0.118198
Fourteen	0.11698
"Around @@"	0.116495
Fifteen	0.115418
Thirty-three	0.114616
Thirteen	0.113604
"almost @,@@@"	0.112616
"another @"	0.111994
Forty-seven	0.110346
"Another @@@"	0.110232
"roughly @@@"	0.109211
"nearly @,@@@"	0.109036
Thirty-four	0.108637
eighty	0.106866
"more than @@@@"	0.106717
"Around @@@"	0.106207
Eleven	0.105665
"Two hundred"	0.104852
"Other @@"	0.102637
"close to @@,@@@"	0.101939
"other seven"	0.101009
"about @@@ to @@@"	0.100952
"up to @,@@@"	0.100561
"nearly @@@"	0.0996686
"almost @@@"	0.099066
"over @.@@ million"	0.0989019
Forty-four	0.0988884
Eighteen	0.0980992
Sixteen	0.0975593
forty	0.0974069
"over @,@@@"	0.0970288
"over @@@"	0.0968989
Thirty-one	0.096343
"Another two"	0.0960431
"another @@,@@@"	0.0958883
"more than five"	0.0937645
twenty	0.0933957
"nearly @@,@@@"	0.0932775
"up to eight"	0.0906069
"close to @,@@@"	0.0902289
"Three hundred"	0.0894517
"about six"	0.088873
"other four"	0.0882635
Sandinista	0.0881535
"over @@,@@@"	0.0875427
"nearly one million"	0.0874207
Fifty	0.0872851
"More than three million"	0.0868893
Thirty-eight	0.0868873
Thirty	0.0851989
"more than six"	0.0836593
"almost @ million"	0.0826907
"Another @,@@@"	0.0821207
"More than two million"	0.0816976
seventeen	0.0806798
"another @@@,@@@"	0.0794836
"up to @@@"	0.0793832
"mentally retarded"	0.0787357
"up to seven"	0.0783718
"about eight"	0.0772216
"over four"	0.0765403
"other six"	0.0753739
"More than nine"	0.0751871
"roughly @@,@@@"	0.0745494
"More than two"	0.074004
"up to six"	0.0733645
"Northern Irish"	0.0716409
"About one million"	0.0713677
"more than @ billion"	0.0710751
Kashmiri	0.0699718
Okinawan	0.0698669
"less than five"	0.0697407
"other eight"	0.0693884
"more than @.@@ million"	0.069331
"more than three"	0.0691653
"about five"	0.0690267
"roughly @@@,@@@"	0.068249
"less than @,@@@"	0.0679634
Forty-two	0.0677342
"more than ten"	0.0675428
"nearly @@@,@@@"	0.0671676
"almost @@,@@@"	0.0667381
Jing	0.066708
"first six"	0.0661622
"six to eight"	0.0659014
"ten thousand"	0.0655802
"up to three"	0.0653794
Timorese	0.0653693
BSF	0.0652715
"more than @.@ billion"	0.0652497
"Seven million"	0.065184
Hazelwood	0.0648034
Fifty-five	0.0646994
"About @.@@ million"	0.064018
militiaman	0.063935
"two to four"	0.0639118
"over @.@ million"	0.0638129
"over @@@,@@@"	0.0637349
"roughly @,@@@"	0.0634428
"another @ million"	0.0630206
Sinhala	0.0625396
"three million"	0.0619142
"A few key"	0.0618055
"Over two million"	0.0611158
Twenty-seven	0.0608118
"more than seven"	0.0604704
"first @@@"	0.0601748
"two key"	0.0597574
"other three"	0.0597241
"up to @@,@@@"	0.0584761
Camerounian	0.0579842
"Saeed Hajjarian"	0.0578468
"up to five"	0.057583
Kyrgyz	0.0573866
"almost two"	0.0572194
Rajshahi	0.0572129
"up to @@ million"	0.0571815
"About two million"	0.0571021
"more than four million"	0.0569979
Kazakh	0.0568994
Ivorian	0.0568737
Bamiyan	0.0566498
Belarusian	0.0566295
sixty	0.0563404
"Terry Nichols"	0.0562215
Khmer	0.0560403
"up to @@@,@@@"	0.0552666
stone-throwers	0.0551984
Kurdish	0.054763
"about four"	0.0546058
non-American	0.0540815
"six billion"	0.0539354
export-oriented	0.0537721
"sixth and seventh"	0.0535179
"four to six"	0.0534717
"about seven"	0.0533618
"six to @@"	0.0531418
"nearly @@@ million"	0.0530604
Scharping	0.0529973
"seventh and eighth"	0.0528565
"Over one million"	0.0527722
Xenia	0.0525248
"next six"	0.0522716
top-class	0.0522014
"Iranian capital"	0.0519565
"North Vietnamese"	0.0514869
"South Vietnamese"	0.0514401
Hajjarian	0.0514181
"more than one million"	0.0513501
"six million"	0.0512555
"Sheikh Saad"	0.051227
Ecuadorean	0.0503206
"Nearly two"	0.0501946
POLK	0.0498702
"Far Eastern"	0.0496988
"other nine"	0.0493373
"about three"	0.0491293
"nine million"	0.0490383
"Number @"	0.0490379
Moro	0.0488949
nonwhite	0.0487745
Belarussian	0.0487281
"deputy sheriff"	0.0487097
l@	0.0482805
"almost @@@,@@@"	0.0482552
McInnis	0.0482353
"over five"	0.0481361
Seven-time	0.0480374
"Nippon Credit"	0.0478903
"roughly @@"	0.0478886
"first eight"	0.0478087
"About @ billion"	0.0475729
Kosovar	0.0474954
"nearly three"	0.0473511
"almost @@ million"	0.046955
seventy	0.0467656
Imelda	0.0467282
"more than four"	0.0465856
"Central Texas"	0.0465421
UPDF	0.0464327
serviceman	0.0461794
CRI	0.0459726
"fifth and sixth"	0.0459514
))
("another one" (desc 17440.6) (sims
"Another two"	0.0748576
"another @@"	0.0606129
"next one"	0.0552923
"Another @@@"	0.0538442
"a few"	0.0530154
nine	0.0496332
"first one"	0.0492926
"another three"	0.047779
handful	0.0475339
"more than one"	0.0473268
"more than @@"	0.046593
"second one"	0.0461865
"whole lot"	0.0459643
"About one"	0.0451501
"about @@"	0.0443579
makings	0.0439383
"over @@@"	0.0439208
"another four"	0.0436077
"over @@"	0.0431633
"more than @@@"	0.0428096
"third one"	0.0421843
somebody	0.041202
"more than @,@@@"	0.0411235
plenty	0.0400362
))
("another seven" (desc 1306.26) (sims
"another nine"	0.179207
"another six"	0.178586
"Another two"	0.158513
"Another eight"	0.153797
"another @@"	0.143444
"another four"	0.143111
Thirty-one	0.142609
"another five"	0.141037
"another three"	0.138477
"other seven"	0.131217
"Another @@@"	0.120862
"Another @,@@@"	0.117621
"other five"	0.11666
"up to five"	0.116481
"more than eight"	0.115624
Thirty-six	0.114616
Thirty-nine	0.110264
"Other @@"	0.109479
Fifty-five	0.109456
Forty-seven	0.108649
"up to three"	0.107983
Fourteen	0.106645
Sixteen	0.106068
"close to @@@"	0.106043
forty	0.103497
"another @"	0.103199
Thirty-five	0.102835
Khmer	0.10202
"another @@,@@@"	0.0987396
"another @@@,@@@"	0.0987075
Eleven	0.0986905
"over @,@@@"	0.0953118
Thirty-four	0.0950878
"almost two"	0.0939547
"more than five"	0.0935624
"two to three"	0.0912866
"nearly @,@@@"	0.089895
"over six"	0.0898353
Thirty-two	0.0891978
"almost @,@@@"	0.0889744
Thirty-three	0.0888961
"over @@@"	0.08812
"other four"	0.0877066
"more than seven"	0.0870378
"more than ten"	0.0865651
Twelve	0.0865152
"more than @@@@"	0.085137
"close to @,@@@"	0.0846944
Fifteen	0.0845251
Thirty-eight	0.0843126
Eighteen	0.0842601
"up to four"	0.0842595
"about five"	0.084116
Nineteen	0.0837534
"less than two"	0.082727
"almost @@@"	0.082321
Forty-two	0.0817381
"about six"	0.0811509
Thirty	0.0810559
Kashmiri	0.0806559
"up to @,@@@"	0.0789663
"up to six"	0.0783803
"other nine"	0.0781621
"other eight"	0.0779497
"six to @@"	0.0774281
"More than two"	0.077033
"four to six"	0.0769831
"more than three"	0.075715
"about eight"	0.0755809
Thirteen	0.0753402
"more than six"	0.0750386
Forty-four	0.0733994
"nearly @@@"	0.073009
"up to seven"	0.0729525
"two to four"	0.072937
"other @@@"	0.0725094
"more than four"	0.0720558
Sandinista	0.0720161
"nearly @@,@@@"	0.0713652
"six to eight"	0.0707039
"up to @@"	0.070561
Timorese	0.0698543
"about seven"	0.0691283
"More than three million"	0.0686613
Belarusian	0.0681501
Tajik	0.0680027
"up to @@@"	0.0678876
"nearly @@@,@@@"	0.0678106
"Kosovar Albanian"	0.0677657
"Over two million"	0.067279
seventeen	0.0671106
Forty-five	0.0669693
"over @.@ million"	0.0667907
Islamist	0.0665876
"five to @@"	0.0665375
"up to @ million"	0.0656202
"three to five"	0.0656104
"other six"	0.0655013
"over @@@,@@@"	0.065419
"second person"	0.0653899
"another @ million"	0.0652708
"seven to @@"	0.0651963
"other three"	0.0649678
"Another @@ million"	0.0643022
Bedell	0.0641889
"other two"	0.0641764
"less than @,@@@"	0.0639823
twenty	0.0639317
"six million"	0.0630621
"up to @@,@@@"	0.0629321
"Two hundred"	0.062868
Abkhazian	0.0628171
pan-African	0.062607
"about nine"	0.0624751
FP	0.0619576
Belarussian	0.0619483
"Around @@"	0.0611842
"over two"	0.0608178
Weah	0.0607957
"Nearly two"	0.0607557
Kosovar	0.0603626
Zairian	0.0601913
militiaman	0.0601289
"over @@,@@@"	0.0600776
Kazak	0.059918
"Around @@@"	0.0597324
"almost @@,@@@"	0.0597231
"nearly one million"	0.0594479
Turgeon	0.0593316
Mendez	0.0589076
"about @@@ to @@@"	0.058813
"roughly @,@@@"	0.0586565
Chechen	0.0586336
"four to five"	0.0585221
"Ethnic Albanian"	0.0584634
"A few key"	0.0581151
CCF	0.0576651
"up to @@ million"	0.0569169
"roughly @@"	0.0567702
Latvian	0.0563012
"eight to @@"	0.0562879
Fifty	0.056226
"about @@.@ million"	0.0558615
"up to two"	0.0557953
BASQUE	0.0557036
slain	0.0553585
"nearly @ million"	0.055028
"up to @@@,@@@"	0.0548771
"three million"	0.0547416
"nearly four"	0.0546208
"About three million"	0.0546071
"six billion"	0.0542845
Wiggins	0.054229
"nearly @@ million"	0.0541749
"over four"	0.0540859
Meston	0.0540405
"more than @.@@ million"	0.0540272
fibroids	0.0538338
eighty	0.0536271
Japanese-American	0.0534054
"About two million"	0.0533272
Habib	0.0532662
"almost @"	0.0528047
Botswanan	0.0527249
"over five"	0.0525776
SunTrust	0.0524845
"Kosovo Albanian"	0.0523067
"Israeli Arab"	0.0521263
"three to four"	0.0519193
"National Action"	0.0518377
Kurd	0.0516491
Demps	0.0515421
"roughly @@@"	0.0515253
Kurdish	0.0513766
"Shiite Muslim"	0.0512651
"about three"	0.051194
CEC	0.0511833
Okinawan	0.0511204
"mentally retarded"	0.0506641
Twenty-seven	0.0506561
"over three"	0.0504798
"Bosnian Muslim"	0.0504171
biogas	0.0495135
Husseini	0.0492625
"roughly @@,@@@"	0.0490888
Kyrgyz	0.0489911
"over @ million"	0.0489037
"about @@ to @@"	0.0488235
"more than one million"	0.0487279
"ten thousand"	0.0485996
"two million"	0.0484925
Croat	0.0484593
"less than five"	0.048434
"close to @@"	0.0482423
mayoralty	0.0481332
"less than @@@"	0.0480934
Merlino	0.0480658
"second class"	0.0479417
"another @.@ million"	0.0478878
nosebleed	0.0478771
))
("another six" (desc 1643.11) (sims
"another nine"	0.18847
"another seven"	0.178586
"Another two"	0.175584
"another four"	0.158697
"another five"	0.141542
"another three"	0.14142
"Another @@@"	0.135527
"another @@"	0.130491
Sixteen	0.126934
"Another @,@@@"	0.125425
"more than seven"	0.120033
"more than eight"	0.118845
"Another eight"	0.113194
Forty-seven	0.109097
"up to @,@@@"	0.107303
"close to @@@"	0.10488
Thirty-nine	0.104867
"almost @,@@@"	0.103317
Thirty-one	0.101595
"another @@,@@@"	0.101493
"almost @@@"	0.0998089
"up to seven"	0.0969828
"about six"	0.0960829
Thirteen	0.0957
"nearly @,@@@"	0.0953821
"other five"	0.0948272
"over @,@@@"	0.0941912
Eighteen	0.0941341
"nearly @@,@@@"	0.0929201
"nearly @@@"	0.0921075
Eleven	0.0895968
Thirty-six	0.089446
"up to @@"	0.089363
"roughly @,@@@"	0.089093
"about eight"	0.0883186
"Two hundred"	0.0879637
"up to @@@"	0.0874806
"Nearly @.@ million"	0.0872925
"up to six"	0.0865829
Fifteen	0.0863874
Thirty-five	0.0862167
"more than five"	0.0854318
"another @ million"	0.0850812
"another @"	0.0850264
Fourteen	0.084906
"more than @,@@@"	0.0846441
"four to six"	0.084464
"six to eight"	0.0839556
"other seven"	0.0831479
"nearly four"	0.0823697
"another @@@,@@@"	0.0820845
"More than nine"	0.0811199
"almost two"	0.0804334
"about @@@ to @@@"	0.080268
"Around @@"	0.0801238
"first @@@"	0.0799651
"up to @@@,@@@"	0.0796309
Thirty	0.0796218
forty	0.0796163
"close to @,@@@"	0.0795473
"nearly @@@,@@@"	0.0792727
"over @@@"	0.079258
"over @@@,@@@"	0.0788952
"Nearly two"	0.0786304
"up to four"	0.078496
"other two"	0.0783656
Forty-five	0.0780097
"two dozen"	0.0778461
"more than @@@@"	0.0773535
twenty	0.0769225
"Other @@"	0.0763893
"almost @@,@@@"	0.0762982
"four to five"	0.0757873
"three to four"	0.0756917
"over @.@@ million"	0.0756264
Thirty-two	0.0751394
"other four"	0.0749554
"up to three"	0.0744238
"more than four"	0.0742985
"About three million"	0.0733381
"more than six"	0.073262
"six million"	0.0722791
"up to @@,@@@"	0.072198
"two to three"	0.0711201
"over @@,@@@"	0.0706504
Twelve	0.0703512
sixty	0.0700777
"almost @ million"	0.069626
"more than @.@@ million"	0.069053
"other eight"	0.0690311
double-decker	0.0687728
"about seven"	0.0680177
Thirty-eight	0.0679381
Yazdi	0.0676659
Thirty-four	0.0675966
"up to eight"	0.0674719
"Next Generation"	0.0672703
"over four"	0.0665353
"more than @@@,@@@"	0.0657877
"two to four"	0.0654558
"more than three"	0.0651359
"other six"	0.0649554
Kurd	0.0648327
Fifty-five	0.0647065
"up to five"	0.0642784
eighty	0.0642485
"other three"	0.0640014
"six to @@"	0.0637685
"roughly @@@"	0.0633314
"other @@@"	0.0633267
"more than ten"	0.0629166
Twenty-seven	0.062863
Alcorn	0.0624486
"ten thousand"	0.062373
"roughly @@,@@@"	0.0615436
"Over one million"	0.0614972
"South Vietnamese"	0.0609039
"Over two million"	0.0607636
Ince	0.06067
Matasareanu	0.060129
"five to @@"	0.0598498
"about three"	0.0597414
"up to @ million"	0.0594397
"More than two"	0.0594048
"nearly @ million"	0.0591308
"nearly one million"	0.0591042
"Kosovar Albanian"	0.0589818
militiaman	0.0589795
"about two"	0.0589495
"More than three million"	0.0589363
Nineteen	0.0587252
"less than @,@@@"	0.0585751
"up to two"	0.0584305
"more than four million"	0.058047
Turgeon	0.0576753
"about @@ to @@"	0.0574051
ITU	0.0573947
non-American	0.0572193
"about @ million"	0.0572133
"Around @@@"	0.0569363
"Royal Air Force"	0.0567877
"One Million"	0.0567691
"Ethnic Albanian"	0.056568
"close to @@"	0.0563979
Forty-two	0.0559914
Mendez	0.0559136
"Number @"	0.0559089
"almost @@@,@@@"	0.055775
"Four million"	0.0556949
"up to @@ million"	0.0556849
"more than one million"	0.0554739
Thirty-three	0.0553274
Rwandese	0.0553101
Hajjarian	0.0551179
"nearly @@"	0.055046
"roughly @@@,@@@"	0.0546789
Skoda	0.0544507
BSF	0.0542292
"nearly three"	0.0540563
"almost @@ million"	0.0539052
"Chevrolet Monte Carlo"	0.0539029
VFW	0.0538173
"deputy sheriff"	0.0537643
Espinosa	0.053543
"more than @ million"	0.0534116
"three to five"	0.0531294
"over @ million"	0.0531179
Dahmer	0.0529683
"More than two million"	0.0529619
passerby	0.0528808
"about nine"	0.0527356
"over @.@ million"	0.0519755
"A few key"	0.0518455
Zairian	0.0515908
"about @@.@ million"	0.0509297
Japanese-American	0.0507618
Forty-four	0.050456
"About one million"	0.0503002
"About two million"	0.0500587
"More than @.@ million"	0.0499646
Acela	0.0499372
"Gary Graham"	0.0499167
"Gulf War"	0.0496585
Tajik	0.0496272
"over six"	0.0495867
"less than @@,@@@"	0.0495166
"Hao Haidong"	0.0493968
Sinhala	0.04935
"Bosnian Muslim"	0.0492256
"Roush Racing"	0.0491618
UNAMET	0.0491361
Warshaw	0.0489427
seventeen	0.0489334
"half a dozen"	0.0486946
biosphere	0.0485047
"eight to @@"	0.0484987
"Long Island Rail Road"	0.0484636
Lafleur	0.0483852
"Red Army"	0.0482891
Royce	0.0481294
))
("another six months" (desc 2668.56) (sims
"another two years"	0.27285
"another five years"	0.238858
"another @@ days"	0.224073
"another four years"	0.213677
"another two weeks"	0.211681
"another @@ months"	0.198632
"another three years"	0.189142
"another @@ years"	0.186745
"up to @@ days"	0.159106
"up to three months"	0.154414
"up to six months"	0.126519
"up to two years"	0.11492
"up to @@ minutes"	0.114725
"up to three years"	0.111956
"more than seven years"	0.105576
"more than six months"	0.102387
"about two minutes"	0.102379
"over @@ months"	0.0993312
"about four years"	0.0986918
"more than eight years"	0.0971449
"about @@ months"	0.0961329
"more than three years"	0.0950174
"nearly five years"	0.0931105
"about three years"	0.0929905
"about one hour"	0.0881367
"nine years"	0.0870149
"one month"	0.0859086
"one year"	0.0855706
"about six months"	0.0850881
"about three hours"	0.083196
"up to five years"	0.0828464
"over @@ hours"	0.081724
"nearly two months"	0.0814957
"more than two years"	0.0810785
"up to two weeks"	0.0796111
"about six weeks"	0.0796059
"another @@ minutes"	0.0795207
"more than @@ minutes"	0.0793674
"four weeks"	0.0781349
"more than @@ hours"	0.0777222
"about four hours"	0.0776052
"one week"	0.0774496
"more than five years"	0.0770244
"about two months"	0.0766098
"up to @@ hours"	0.0765271
"about five minutes"	0.0759732
"more than three hours"	0.0730573
"eight months"	0.0728448
"nearly @@ hours"	0.0726922
"almost @@ years"	0.0726267
"six to eight weeks"	0.0719066
"five months"	0.0718749
"about six hours"	0.07185
"nearly four years"	0.0713566
"up to @@ years"	0.0709642
"about two hours"	0.0709587
"more than two hours"	0.0709276
"nearly two hours"	0.0706621
"more than five minutes"	0.0706579
"more than two weeks"	0.0702874
"seven weeks"	0.0701156
"a few months"	0.0698715
"eight weeks"	0.0696849
"over two hours"	0.0695904
"nine months"	0.0694368
"eight days"	0.0691162
"two hours"	0.0689959
"six hours"	0.0688618
"more than four hours"	0.0687337
"seven hours"	0.0686902
"four months"	0.068671
"almost three years"	0.0685907
"up to @@ months"	0.0676948
"about two years"	0.0672207
"about three months"	0.0671825
"more than @@ days"	0.0670396
"next @@ to @@ years"	0.0663186
"nearly two weeks"	0.065552
"more than one year"	0.0644907
"more than six years"	0.0641175
"more than @@@ years"	0.063122
"two to three weeks"	0.0631205
"seven days"	0.06303
"billion over @@ years"	0.0629332
"two to three years"	0.0629155
"almost four years"	0.0616917
"about five years"	0.0610843
"over four years"	0.060824
"three to six months"	0.0606872
"about two weeks"	0.0605568
"three to five years"	0.0599231
"over five years"	0.0594819
"about @@ days"	0.059387
"more than four years"	0.0592478
"almost two hours"	0.0591579
"time being"	0.0577259
"almost two years"	0.0574891
"more than four months"	0.0574553
"nearly three years"	0.0565653
"about @@ years"	0.0565437
"Another two"	0.0555846
"over three years"	0.0555812
"over two years"	0.0555172
"nine days"	0.0555052
"nearly @@ years"	0.055491
"nearly @@ minutes"	0.0554368
"seven decades"	0.054846
"more than three months"	0.0548029
"a few minutes"	0.05445
"about @@ hours"	0.053607
"four hours"	0.053535
"more than @,@@@ years"	0.0533349
"over two decades"	0.0513982
"nine hours"	0.0512125
"six days"	0.050866
"fifth day"	0.0505226
"nearly six years"	0.0498643
"next six months"	0.0495551
"over @@ minutes"	0.0493954
"six decades"	0.0489571
"more than two months"	0.0489066
"five weeks"	0.0485909
"five hours"	0.0480572
"about @ @/@ hours"	0.0474872
"nearly two years"	0.0474603
"next four years"	0.0467988
"four to six weeks"	0.0458245
"more than @@ months"	0.0454154
"nearly seven years"	0.0452373
"over @@@ years"	0.0450427
"less than @@ years"	0.0440676
"nearly three hours"	0.0438158
"more than five hours"	0.0435406
"last eight years"	0.0435365
"less than three years"	0.042367
"nearly three months"	0.0415506
"next six years"	0.0412286
"hundred years"	0.0411974
"ten years"	0.0410676
"less than four minutes"	0.0407208
"another three"	0.0406546
"almost two decades"	0.0404349
))
("another third" (desc 1401.36) (sims
"almost one-third"	0.11822
"nearly two-thirds"	0.11406
"roughly two-thirds"	0.105831
"over one third"	0.103827
"about one-fifth"	0.103316
"about one third"	0.101416
"over one-third"	0.100624
"about three-quarters"	0.0913912
"About @@ per cent"	0.0897993
"almost two-thirds"	0.0879981
"about one-third"	0.0851231
"Sixty-five percent"	0.0830568
"one third"	0.0825314
"Fifty percent"	0.0805324
"nearly one-third"	0.079817
"one tenth"	0.0778104
"Twenty-five percent"	0.0774363
"More than one-third"	0.0763283
"about one-quarter"	0.0745041
twenty-four	0.0741798
"about two-thirds"	0.0723409
"Fifteen percent"	0.0718725
"Seventy percent"	0.0716811
"over two-thirds"	0.0709797
"Eighty percent"	0.0703841
"More than one third"	0.0702322
"Thirty percent"	0.0697581
"nearly one-fifth"	0.0694924
"about one-fourth"	0.0689097
"one sixth"	0.0686081
two-fifths	0.0666691
Twenty-seven	0.0665532
"one quarter"	0.0665174
"About three quarters"	0.0658741
"about @.@@ percent"	0.0648535
thirds	0.0637138
"about one-tenth"	0.0633094
Thirty-eight	0.062556
"Fifty-five percent"	0.0615422
"one fifth"	0.0597958
"Forty percent"	0.0595654
"About @@.@ percent"	0.0592305
"about five percent"	0.0588595
one-sixth	0.0588472
"More than two-thirds"	0.0585936
"close to one"	0.058498
"Sixty percent"	0.0575232
"roughly one-third"	0.0571187
tenth	0.0565989
Twelve	0.0557941
one-fourth	0.0554304
"about @ cup"	0.0552647
"More than three-quarters"	0.0547423
spoonful	0.0543901
one-fifth	0.0536741
"about three-fourths"	0.0533509
"nearly one third"	0.0519491
one-seventh	0.0518914
"Twenty percent"	0.0516194
Twenty-five	0.0506623
"about @/@ cup"	0.050516
"contagious disease"	0.0504787
"one first"	0.050369
"over four"	0.0501992
"ten percent"	0.0499139
fifths	0.0495782
three-fourths	0.0494783
"another @@.@ percent"	0.0494286
census-takers	0.0491215
Middleton	0.0483029
"more than three-fourths"	0.0481972
"less than @.@ percent"	0.0481455
Thirty-three	0.0479532
"more than one-fifth"	0.0472855
three-quarters	0.0471298
"about @.@ percent"	0.0469111
teaspoon	0.046911
"Joint Strike Fighter"	0.0466237
two-third	0.0458985
"Ninety percent"	0.0456497
subordination	0.0453188
"more than one-fourth"	0.0448642
"Ninety-nine percent"	0.0447483
"More than three quarters"	0.0443881
one-half	0.0442654
"sweet pea"	0.0441753
Fourteen	0.044153
"Two hundred"	0.0440244
Eighteen	0.0440193
Soares	0.043904
Kassirer	0.0437628
half-dozen	0.0433667
one-eighth	0.043004
Cyrus	0.0429239
"Pascoal Mocumbi"	0.0428373
"over @@@ million US dollars"	0.0426696
"nine percent"	0.0424733
"about four percent"	0.042442
"More than nine"	0.0423137
Thirty-four	0.042297
"Eighty-five percent"	0.0421971
Sixteen	0.0420994
Thirteen	0.0418855
Thirty-nine	0.0417341
Four-fifths	0.0416477
Espinosa	0.0416139
"de Charette"	0.0415202
"I.K Gujral"	0.0415026
Warshaw	0.0413657
Pustovoitenko	0.0413458
Talebi	0.0410972
"Rolls-Royce Motor Cars"	0.040986
Masa	0.0405835
Ferrer	0.0405323
"Forty-five percent"	0.0405082
Thirty-one	0.0403051
Sununu	0.0400946
))
("another three" (desc 3234.9) (sims
"Another two"	0.176438
"another four"	0.149314
"another @@"	0.145773
"another six"	0.14142
"another seven"	0.138477
"another nine"	0.136285
"two to three"	0.125202
"more than eight"	0.122735
"another five"	0.120569
"other six"	0.119243
"Another @,@@@"	0.118626
"more than three"	0.11444
"More than two"	0.112461
"more than five"	0.106679
"Another @@@"	0.106326
"over @,@@@"	0.10627
"almost @,@@@"	0.105818
Thirty-six	0.105317
"nearly @,@@@"	0.102126
"Another eight"	0.101756
"another @"	0.100832
Eighteen	0.098515
"more than six"	0.0982254
"another @@,@@@"	0.0980582
"another @@@,@@@"	0.0970549
"other seven"	0.0959755
"over @@,@@@"	0.0955182
"over @@@"	0.0944595
"nearly @@@"	0.0942249
"less than two"	0.094184
"up to @@@"	0.0933109
"up to five"	0.0925907
"Nearly two"	0.0918429
"nearly three"	0.0917088
"other five"	0.0915616
Thirteen	0.0896395
"more than @@@"	0.0895419
"up to @@"	0.0895336
"almost @@@"	0.0892523
"Other @@"	0.0891188
"up to three"	0.0883511
"almost two"	0.0882496
"four to five"	0.0879338
"up to @@,@@@"	0.0877809
"over four"	0.0869459
"nearly @@,@@@"	0.0866197
"six to eight"	0.0860924
"roughly @@@"	0.0858055
"other two"	0.0855119
Thirty-five	0.0850955
Eleven	0.0850265
"more than @@"	0.0849625
"more than @,@@@"	0.0848015
"up to four"	0.0845131
"more than seven"	0.0841989
Fourteen	0.0833748
"nearly four"	0.083353
"nearly @@@,@@@"	0.0830209
Forty-seven	0.082972
"about six"	0.0821627
"Over two million"	0.0820975
"other three"	0.0814925
"over @.@@ million"	0.0814049
"more than four"	0.0812968
"two to four"	0.0810181
"up to @@@,@@@"	0.0807828
"up to @,@@@"	0.0803603
"close to @@@"	0.0801601
"more than @.@@ million"	0.0789615
"other @@@"	0.0785221
"other eight"	0.0778053
"about @@"	0.0777816
"more than @@,@@@"	0.0774331
"Over one million"	0.0769287
Nineteen	0.0768521
"up to six"	0.0766174
"over @.@ million"	0.0760997
"more than @@@@"	0.075875
"over seven"	0.0758199
Fifteen	0.0756084
"over @@@,@@@"	0.0751291
"About two million"	0.0747076
"almost @@,@@@"	0.0746763
"about @@@"	0.0735482
Thirty-eight	0.073548
"other four"	0.0734191
forty	0.0733659
"eight to @@"	0.0732656
Sixteen	0.0727194
"roughly @@,@@@"	0.0725771
"nearly @@ million"	0.0724498
"Three hundred"	0.072384
"more than ten"	0.0721214
"over @@"	0.0721173
"close to @,@@@"	0.0720887
Twelve	0.0719325
"four to six"	0.0717639
"nearly one million"	0.0709482
twenty	0.0705192
"about eight"	0.0699356
"more than one million"	0.0698667
"Israeli Arab"	0.0695897
"about two"	0.0692089
Forty-two	0.0688632
"roughly @@"	0.0682204
"up to seven"	0.0680914
"About @,@@@"	0.0672259
twenty-four	0.067041
"next two"	0.0669522
Fifty	0.0665535
"over six"	0.0660926
"over @ million"	0.0660502
"almost @@@,@@@"	0.0657229
Raduyev	0.0649571
"nearly @@"	0.0646886
"Black Panther"	0.0646357
Thirty-three	0.0645723
"Around @@"	0.0643232
"up to two"	0.0642988
"More than three million"	0.0641978
"about seven"	0.0641388
"Four million"	0.064102
"another @ million"	0.0638643
"about five"	0.063693
"about @@@,@@@"	0.0634944
"three to five"	0.0629107
"six million"	0.0624186
"fifth and sixth"	0.0623273
"two dozen"	0.0620966
"more than one"	0.0616858
"about @@,@@@"	0.0613055
"over two"	0.061246
"sixth and seventh"	0.0611226
"another five years"	0.0610225
"more than @@@,@@@"	0.0609097
"roughly @,@@@"	0.0605453
"seven to @@"	0.0604087
"more than @@ million"	0.060389
"about three"	0.0602035
Bedell	0.0601679
Thirty-nine	0.0601031
"three million"	0.0599662
Thirty	0.0596932
"One Million"	0.0595238
"Less than one"	0.0591198
"nearly @ million"	0.0588093
"nearly @@@ million"	0.0587762
"about @@@ to @@@"	0.058551
"almost @@ million"	0.0584658
seventeen	0.0580477
"six to @@"	0.0578558
"close to @@"	0.0578337
"ten thousand"	0.0576617
"first @@@"	0.0575408
Thirty-one	0.0574853
"other nine"	0.0574751
"over five"	0.057472
Fifty-five	0.0574086
"over three"	0.0573395
"about four"	0.0572409
"about @@ to @@"	0.0572264
militiaman	0.0570095
"three to four"	0.0561539
Kurd	0.0560339
"Two and three"	0.055995
"Two hundred"	0.0556679
"close to @@,@@@"	0.0551292
Mathews	0.0545334
"next @@"	0.0539368
"first nine"	0.0538435
Twenty-seven	0.0536528
"up to @@ million"	0.053623
"About one million"	0.0532587
serviceman	0.0532487
"Cessna @@@"	0.0529821
"another two weeks"	0.0527766
Zairian	0.0525295
"over @@ million"	0.0522312
"two million"	0.0522142
"Kosovar Albanian"	0.0521188
"more than four million"	0.0519894
"about @ million"	0.0519071
"Seven million"	0.0518284
Zhivkov	0.051712
sixty	0.0515895
Thirty-four	0.0514637
"first four"	0.050875
"five to @@"	0.0504925
"up to @ million"	0.0502953
Brogna	0.0500908
"Nearly @.@ million"	0.049886
"Number @"	0.0497699
"more than @ billion"	0.049684
"first two"	0.0494596
"less than @@@"	0.0494358
Meeks	0.0488504
"Three key"	0.048639
"more than @ million"	0.0486168
"nine million"	0.0485624
McDuff	0.0484848
))
("another three years" (desc 1498.98) (sims
"another five years"	0.232693
"another two years"	0.217983
"another @@ months"	0.197378
"another @@ years"	0.194353
"another six months"	0.189142
"another two weeks"	0.184456
"another @@ days"	0.174652
"another four years"	0.161815
"up to five years"	0.115374
"up to @@ years"	0.105955
"up to three months"	0.0961337
"up to six months"	0.0925517
"almost two decades"	0.0903469
"about @ @/@ hours"	0.0900587
"up to three years"	0.0890413
"up to two years"	0.0882945
"up to @@ days"	0.0867058
"about four years"	0.0842153
"nearly five years"	0.083103
"up to @@ minutes"	0.0814759
"more than six years"	0.078478
"more than four years"	0.074349
"six to eight weeks"	0.074144
"more than @@@ years"	0.073756
"up to @@ months"	0.0735517
"about six hours"	0.0709269
"nearly four decades"	0.0685705
"nearly three weeks"	0.0685469
"about three years"	0.0684288
"over @@ hours"	0.0681661
"almost @@ years"	0.0674432
"nearly @@ hours"	0.0672741
"more than two decades"	0.065794
"about @ hours"	0.065103
"about @@ years"	0.0645769
"about two weeks"	0.0642869
"nearly three years"	0.0636226
"about @@ hours"	0.0629411
"nine hours"	0.0621975
"about one hour"	0.0619119
"four to six weeks"	0.0618083
"more than three hours"	0.0612305
"up to @@ hours"	0.0604017
"up to two weeks"	0.06019
"about six weeks"	0.0598907
"ten years"	0.0587512
"over two hours"	0.058645
"another @@ minutes"	0.0580054
"more than five minutes"	0.0577839
"about two minutes"	0.0575941
"about three months"	0.0573933
"eight weeks"	0.0563014
"nearly two decades"	0.0554226
"more than three decades"	0.0553735
"more than three years"	0.055348
"nearly two months"	0.0544551
"more than two hours"	0.0544503
"about two years"	0.0535305
"more than four months"	0.0534688
"about @@ to @@ minutes"	0.0532472
"nearly three decades"	0.0532344
"more than five years"	0.0531366
"more than six months"	0.0527446
"over @@ minutes"	0.0526468
"nearly two years"	0.0521154
"nearly six years"	0.0516251
"about four hours"	0.0515724
"six hours"	0.0506284
"more than seven years"	0.0505394
"more than @@ minutes"	0.0501287
"nearly two hours"	0.0499784
"about five years"	0.0495563
"over two years"	0.049469
"about three hours"	0.0493314
"about six months"	0.0489861
"four decades"	0.048894
"almost two years"	0.0487618
"over @@@ years"	0.0478062
"one weekend"	0.0468946
"three to five years"	0.046325
"almost three years"	0.0462876
"nearly four hours"	0.0459041
"right here"	0.0451525
"three to six months"	0.0450476
"less than five minutes"	0.0449193
"seven weeks"	0.0445607
"about @@ days"	0.0444473
"five decades"	0.0441519
"more than eight years"	0.0436455
"more than @@ months"	0.0434352
"more than three months"	0.0432334
"more than five hours"	0.0432091
"more than two weeks"	0.043109
"two to three weeks"	0.0427064
"six decades"	0.0424861
"more than @@ days"	0.0424023
"first four years"	0.042391
"nearly four years"	0.0423864
years.	0.0418834
"less than @@ years"	0.041338
"first @@ years"	0.0413225
"almost two hours"	0.0407235
"last six years"	0.0402992
))
("Another two" (desc 5412.19) (sims
"another four"	0.196159
"another three"	0.176438
"another six"	0.175584
"another seven"	0.158513
"another @@"	0.144606
"another five"	0.137186
"more than five"	0.133791
"more than eight"	0.127391
"more than three"	0.125743
"More than two"	0.120932
"Another @@@"	0.118353
"more than six"	0.117582
"other five"	0.11627
"Another @,@@@"	0.114539
"nearly three"	0.11314
"Another eight"	0.112732
"Nearly two"	0.112078
"other seven"	0.111371
"another @"	0.110318
"less than two"	0.108747
"other two"	0.102573
"other three"	0.101965
"over @,@@@"	0.100011
"more than four"	0.0990618
"about six"	0.0988831
"Other @@"	0.0969901
"another nine"	0.0960431
"more than @,@@@"	0.0958023
"almost two"	0.0947795
"four to five"	0.0942072
"up to five"	0.0924799
"up to two"	0.0923356
"over @@@"	0.0919437
"more than @@"	0.0916559
eight	0.0915569
"nearly @,@@@"	0.0915208
seven	0.091438
"nearly @@@"	0.0905361
"up to six"	0.089896
"about two"	0.0898366
"about @@"	0.0898153
"about five"	0.0888362
"more than @@@"	0.0886221
"about four"	0.0882517
"about three"	0.0875063
"over two"	0.0872705
"nearly four"	0.0856661
"about eight"	0.0850701
Fifteen	0.0841608
"other eight"	0.084158
Eleven	0.0840935
"two to three"	0.0840481
Thirty-six	0.0838568
nine	0.0832256
Eighteen	0.0832117
Thirty-three	0.0820023
"three to four"	0.0814854
"first two"	0.0813979
"over four"	0.0803273
"other four"	0.0797671
Twelve	0.0794476
Forty-two	0.0790013
"up to @@"	0.0789127
Sixteen	0.0780587
Thirty-one	0.0773867
"other nine"	0.076569
"other six"	0.0765587
"first four"	0.0763024
"more than seven"	0.0761413
"over @@"	0.0753913
Fourteen	0.0753495
"another one"	0.0748576
"two to four"	0.0746788
"first five"	0.0743706
"Around @@@"	0.0741106
"close to @@@"	0.0740899
"about @@@"	0.0736676
"up to three"	0.0735398
"first three"	0.0734547
"More than nine"	0.0726321
"four to six"	0.0722971
"about seven"	0.0720578
Thirty	0.07203
Thirteen	0.0718717
"more than ten"	0.0711996
"up to seven"	0.0710014
"more than @@,@@@"	0.070715
Thirty-four	0.0704452
forty	0.0704262
"roughly @@@"	0.0702122
"up to four"	0.0701244
"less than five"	0.069997
twenty	0.0688149
Forty-four	0.0686437
"next two"	0.068519
"About @,@@@"	0.0678468
"over six"	0.0677338
"over @@,@@@"	0.067681
"another @@@,@@@"	0.0674173
"five to @@"	0.0668069
"over five"	0.0663798
Nineteen	0.066089
"up to @@@"	0.0653395
Twenty-seven	0.0641562
"Kosovar Albanian"	0.0637696
"first nine"	0.0637359
"almost @@@"	0.0636838
Thirty-five	0.0635874
"two dozen"	0.0634433
ten	0.063234
"another @@,@@@"	0.0631627
"over three"	0.0630801
"three to five"	0.0629243
"next three"	0.0625894
"about nine"	0.0625262
"Around @@"	0.0624807
"Less than one"	0.0623736
"fifth and sixth"	0.062149
"up to eight"	0.0617808
"up to @@,@@@"	0.0615982
"next four"	0.0605944
"six to @@"	0.0605214
"two key"	0.0603021
slain	0.0602826
"Ethnic Albanian"	0.0602387
"first six"	0.0600571
"first @@@"	0.0598366
"first and second"	0.0593461
coastguard	0.0589652
"nearly @@"	0.0584624
"sixth and seventh"	0.0583007
"other @@@"	0.0581634
"first @@"	0.0576587
"up to @,@@@"	0.0574588
"first seven"	0.057422
"six to eight"	0.0571926
"another two weeks"	0.0569774
"close to @,@@@"	0.0569654
"almost @,@@@"	0.0565984
"over @@@,@@@"	0.0565646
"first eight"	0.0564768
"eight to @@"	0.0560287
"nearly @@,@@@"	0.0560022
"more than one"	0.0559288
"roughly @@"	0.0556641
"another six months"	0.0555846
"second and third"	0.055257
"Bosnian Muslim"	0.0551626
Zairian	0.0550078
"more than @ billion"	0.054945
"seventh and eighth"	0.0548607
"South Korean"	0.0546259
non-American	0.054498
"close to @@"	0.0544139
"roughly @,@@@"	0.0540008
"half a dozen"	0.0537125
"next @@"	0.0536862
"Three hundred"	0.0535678
Cessna	0.0534362
Thirty-two	0.0532583
"Pan Am"	0.0532292
"six million"	0.0529977
"next five"	0.0528771
"Three key"	0.0527242
Thirty-eight	0.0522316
"over seven"	0.0517888
"About @ billion"	0.0515917
"more than @@@,@@@"	0.0505702
"about @@@ to @@@"	0.0504178
"more than @@@@"	0.0499944
A-@@@	0.0499915
"A few key"	0.0496513
"about @@,@@@"	0.0489704
"nearly one"	0.0489297
"first and third"	0.0487627
Forty-seven	0.0483237
Druse	0.0481454
eighty	0.0475442
"nearly @@@,@@@"	0.0474739
"South Vietnamese"	0.047437
"Airbus A@@@"	0.0469909
"almost one"	0.0469889
"Cessna @@@"	0.046776
WNBF	0.0467732
"up to @@@,@@@"	0.0466192
"China Airlines"	0.046294
"North Korean"	0.0460743
Dragila	0.0459987
polygraph	0.0457941
"second person"	0.0456681
"Air France Concorde"	0.0455785
double-decker	0.0455498
"Over two million"	0.0455006
"five @-pointers"	0.0453227
IAF	0.0451054
"nearly @@ million"	0.04505
P-@	0.0450341
Opel	0.0450253
passerby	0.0449096
"Four million"	0.0449073
))
("another two weeks" (desc 993.302) (sims
"another five years"	0.280818
"another two years"	0.2493
"another four years"	0.218942
"another six months"	0.211681
"another @@ years"	0.204646
"up to three months"	0.203302
"another @@ days"	0.189335
"another three years"	0.184456
"six to eight weeks"	0.173034
"up to @@ days"	0.171025
"two to three weeks"	0.139639
"up to six months"	0.1386
"up to two years"	0.137225
"four to six weeks"	0.137218
"about five minutes"	0.131119
"nearly @@ hours"	0.130917
"about six weeks"	0.130913
"up to @@ minutes"	0.124264
"another @@ minutes"	0.123103
"about two minutes"	0.119059
"another @@ months"	0.11831
"more than one year"	0.117197
"more than @@ days"	0.116464
"about six hours"	0.11521
"eight weeks"	0.113817
"up to @@ months"	0.112957
"over @@ hours"	0.112014
"up to five years"	0.106303
"more than three hours"	0.105944
"up to two weeks"	0.105882
"four weeks"	0.10532
"about three years"	0.104378
"about two months"	0.103812
"six hours"	0.102272
"more than six months"	0.101865
"nearly two hours"	0.100192
"five weeks"	0.0986138
"a few minutes"	0.0981838
"about one hour"	0.0955013
"over two hours"	0.0952383
"up to three years"	0.0952081
"more than five minutes"	0.0950156
"about two hours"	0.0936734
"about six months"	0.0933505
"more than @@ hours"	0.0914554
"almost two months"	0.0896375
"up to @@ hours"	0.0887584
"more than three weeks"	0.0872009
"about two weeks"	0.0855471
"seven weeks"	0.0846676
"three to six months"	0.0834532
"three to five years"	0.0831683
"five hours"	0.0816711
"nearly three years"	0.0786981
"more than four hours"	0.07817
"more than two years"	0.0779162
"about @@ months"	0.0771662
"more than @@ minutes"	0.0760591
"nearly @@ minutes"	0.0759559
"one hour"	0.0755817
"right here"	0.0755596
"about three months"	0.0749578
"about four hours"	0.0745629
"more than two hours"	0.0742369
"eight hours"	0.0736846
"almost three years"	0.0735721
"about three hours"	0.0720507
"nearly six years"	0.0717146
"nine hours"	0.0708853
"nearly five years"	0.0704802
"nearly four years"	0.0680722
"about @ @/@ hours"	0.0663111
"more than two weeks"	0.0659628
"two to three years"	0.0655766
"more than four months"	0.0647355
"about @@ to @@ minutes"	0.0643227
"eight minutes"	0.0625258
"less than five minutes"	0.0619301
"over @@ minutes"	0.0603179
"sixth day"	0.0601018
"about @@ hours"	0.0578909
"first five days"	0.0566089
"more than three months"	0.0560925
"more than five hours"	0.0551937
"nine weeks"	0.0551742
"previous two years"	0.0546438
"almost two hours"	0.0539451
"more than three years"	0.0536619
"next two days"	0.0531439
"fifth day"	0.0529837
"another three"	0.0527766
"more than seven years"	0.0519847
"seven hours"	0.0519225
"more than eight years"	0.0516279
"over @@ months"	0.0513657
"over five years"	0.0510903
"up to @@ years"	0.0510063
"sixth year"	0.0509374
"one weekend"	0.0504804
"less than two years"	0.0491366
"nearly two months"	0.0488062
"more than two months"	0.048792
"eighth time"	0.0485246
"less than two minutes"	0.0483699
"about five years"	0.0479443
"less than @@ years"	0.0478081
"hundred years"	0.0473496
"about @ hours"	0.0462988
"about @@ days"	0.0462168
"from January to May"	0.0456745
"next @@"	0.0455916
"more than four years"	0.045458
"nearly two weeks"	0.045381
"more than @@ months"	0.0441576
"nearly three decades"	0.0440739
"three nights"	0.0435421
"over two years"	0.0433453
"fifth week"	0.0432456
"almost two years"	0.0423815
"a few decades"	0.0416793
"nearly three weeks"	0.0416074
"over @@ days"	0.0405949
ten-day	0.0404783
two-night	0.0401331
"next @@ to @@ years"	0.0401125
))
("another two years" (desc 2023.72) (sims
"another five years"	0.339556
"another six months"	0.27285
"another four years"	0.271724
"another two weeks"	0.2493
"another @@ months"	0.233531
"another three years"	0.217983
"another @@ years"	0.212523
"another @@ days"	0.176981
"up to @@ minutes"	0.160527
"up to six months"	0.1489
"up to @@ days"	0.138307
"about three years"	0.131642
"up to three months"	0.129725
"more than six months"	0.122367
"about two months"	0.119102
"nearly @@ hours"	0.117461
"another @@ minutes"	0.109882
"more than @@ days"	0.108651
"six to eight weeks"	0.107421
"up to two weeks"	0.107188
"more than five years"	0.106947
"about @@ months"	0.105518
"five months"	0.104544
"up to five years"	0.104406
"nearly six years"	0.103572
"about six months"	0.103348
"about four years"	0.103313
"over two hours"	0.102948
"more than one year"	0.102302
"about two hours"	0.100568
"one year"	0.0989147
"nearly @@ months"	0.0977962
"more than four hours"	0.0976928
"more than four months"	0.097531
"a few months"	0.0953205
"more than six years"	0.0949621
"nine years"	0.0940171
"about three months"	0.093721
"up to @@ hours"	0.093522
"about five years"	0.0925023
"eight weeks"	0.091913
"more than @@ minutes"	0.0918038
"up to two years"	0.0915535
"nearly five years"	0.0903017
"more than three years"	0.090016
"seven decades"	0.0898369
"more than three months"	0.0882486
"six hours"	0.0877139
"three hours"	0.0874195
"about five minutes"	0.0870553
"eight years"	0.0864565
"seven weeks"	0.0861501
"four hours"	0.0858267
"nearly two hours"	0.0856549
"four months"	0.0846212
"about two minutes"	0.0845744
"nine months"	0.0841916
"about six hours"	0.0833384
"one month"	0.0833007
"nearly two months"	0.0830985
"more than five minutes"	0.0828982
"seven years"	0.0827838
"up to @@ years"	0.0824671
"about two weeks"	0.0824312
"a few years"	0.0819842
"nearly two years"	0.0801056
"almost @@ years"	0.0796087
"over @@ minutes"	0.0793389
"more than two weeks"	0.0793077
"more than two hours"	0.0792681
"more than three hours"	0.0792165
"two to three years"	0.0788183
"more than five hours"	0.0787642
"almost two years"	0.0786313
"about six weeks"	0.0775748
"nearly two weeks"	0.0765328
"eight months"	0.0762908
"almost two hours"	0.0758468
"nearly four years"	0.0748766
"up to @@ months"	0.0746668
"nearly three years"	0.0739317
"one week"	0.0737818
"almost three years"	0.0726038
"three to six months"	0.0725008
"almost two decades"	0.0711806
"about three hours"	0.0710007
"next four years"	0.0704438
"more than four years"	0.06969
"nearly @@ minutes"	0.0695696
"more than eight years"	0.0693678
"five hours"	0.069084
"five weeks"	0.0683981
"six weeks"	0.0683203
"nearly @@ years"	0.0670349
"more than two years"	0.0658542
"more than @@ hours"	0.0645872
"next @@ to @@ years"	0.0643389
"three to five years"	0.0637465
"seven hours"	0.0633577
"about one hour"	0.0630434
"over @@@ years"	0.0622778
"about four hours"	0.0621401
"six decades"	0.0615175
"four weeks"	0.0605699
"over @@ months"	0.0605683
"over two decades"	0.0605605
"seven days"	0.060486
"eight hours"	0.0595552
"one hour"	0.0594904
"three decades"	0.0582803
"about @@ hours"	0.0573741
"first five days"	0.0573738
"nine hours"	0.0573115
"more than seven years"	0.0567515
"up to three years"	0.0562847
"nearly two decades"	0.0556557
"eight days"	0.0552137
"about three weeks"	0.0548824
"about two years"	0.0548689
"nearly four decades"	0.0548469
"more than two months"	0.0547209
"more than @@@ years"	0.0544961
"less than five minutes"	0.0535126
"two to three weeks"	0.0532186
"over two months"	0.0523897
"four to six weeks"	0.0521207
"over two years"	0.0519048
"about @@ days"	0.0510141
"over @@ hours"	0.0508288
"about @@ to @@ minutes"	0.0504685
"more than @,@@@ years"	0.0502438
"nine days"	0.0500308
"last four years"	0.0499975
"three decades ago"	0.0498476
"nearly three hours"	0.0494713
"three nights"	0.0491824
"about @ hours"	0.0485817
"less than two years"	0.0481772
"hundred years"	0.0471947
"less than three years"	0.0467825
"less than @@ minutes"	0.0462899
"million over five years"	0.0453568
"more than @@ months"	0.0452717
"over three years"	0.044713
"last three weeks"	0.0441852
"almost two months"	0.0437978
"about @ @/@ hours"	0.0436685
"less than two minutes"	0.0434621
"almost four years"	0.0416499
"less than two weeks ago"	0.0411943
"less than @@ years"	0.0409924
"nine weeks"	0.0405503
"more than three weeks"	0.0401245
))
(Ansa (desc 2792.35) (sims
Antara	0.371702
Lusa	0.328051
Notimex	0.312772
Bernama	0.30959
"Indonesian Observer"	0.297589
Tanjug	0.292135
MTI	0.284539
Angop	0.27451
"Agence France Presse"	0.274207
Kyodo	0.274146
"Saudi Press Agency"	0.272093
Tass	0.269063
"Straits Times"	0.268232
"Korean Central News Agency"	0.268165
Petra	0.266653
BS	0.259606
WAM	0.257401
IRNA	0.252757
"Business Times"	0.25076
"Kyodo News"	0.249784
"Kyodo News Service"	0.238423
MENA	0.236114
"Agence France-Presse"	0.236114
"Egyptian Middle East News Agency"	0.232639
Noticias	0.230885
"Egyptian Gazette"	0.2294
ATA	0.223441
Interfax	0.221461
"Ghana News Agency"	0.220519
Jana	0.21787
"Iraqi News Agency"	0.216185
"Jakarta Post"	0.21432
"Thai News Agency"	0.213608
"Associated Press of Pakistan"	0.213506
RSS	0.212893
KPL	0.212426
"Press Trust of India"	0.211787
Reuters	0.211681
"Philippine News Agency"	0.20995
"Moscow Times"	0.209355
"South China Morning Post"	0.208366
"Kathmandu Post"	0.205941
"Tehran Times"	0.203458
"Kuwait News Agency"	0.201097
"News Agency of Nigeria"	0.197307
Anatolia	0.196597
Haaretz	0.195823
"Dow Jones Newswires"	0.195218
"Ethiopian News Agency"	0.194648
"Australian Associated Press"	0.193584
"South African Press Association"	0.193399
Itar-Tass	0.193257
"New Vision"	0.192891
"Business Day"	0.192559
"Daily Times"	0.191058
Sowetan	0.190945
"Daily Star"	0.188337
"Southern African Broadcasting Association"	0.186601
"Jerusalem Post"	0.185744
"Business Weekly"	0.185629
"Rwanda News Agency"	0.185532
"U.S. Labor Department"	0.183485
"Zambia News Agency"	0.183186
"Khaleej Times"	0.183044
"Radio Uganda"	0.181988
AFP	0.17941
"East African Standard"	0.176914
"Jordan Times"	0.175894
TT	0.175387
"British Broadcasting Corporation"	0.17502
"Financial Mail"	0.174599
"Islamic Republic News Agency"	0.172929
"Israel Radio"	0.171641
"Antara News Agency"	0.171535
"Zimbabwe News Agency"	0.171444
"Kenya Times"	0.17087
"Gulf News"	0.170811
INA	0.169952
SAPA	0.169425
APA	0.168813
"Cyprus News Agency"	0.166913
"Ethiopian Herald"	0.163477
"Vietnam News"	0.16271
"press agency"	0.162676
"National Association of Realtors"	0.162213
"Middle East News Agency"	0.15946
"China Daily Business Weekly"	0.158765
KUNA	0.158073
al-Hayat	0.157799
"Bangkok Post"	0.157776
PTI	0.157315
"Vietnam News Agency"	0.157206
beta	0.15692
"Le Monde"	0.15668
"Beijing Daily"	0.156527
"Turkish Daily News"	0.156224
"United Press International"	0.156138
"Athens News Agency"	0.156013
"Post Express"	0.155225
"New Nigerian"	0.154354
"Daily Nation"	0.153563
"New Straits Times"	0.150831
"Macao Daily News"	0.150546
"Sydney Morning Herald"	0.14555
"Anatolia News Agency"	0.144998
"The New Vision"	0.144831
"Alam Al Yom"	0.142803
"Press Trust"	0.14233
"Washington Times"	0.141705
Kommersant	0.140751
"Der Spiegel"	0.139754
"Zambia Daily Mail"	0.139666
"Xinhua News Agency"	0.136799
"Iran News"	0.13642
Maariv	0.133983
Malaya	0.131597
Reforma	0.131057
"El Pais"	0.131031
"Al Ahram"	0.131024
APP	0.130241
"Daily Telegraph"	0.130159
PAP	0.127766
"Statistics Canada"	0.126434
"The Monitor"	0.126416
"Al Hayat"	0.126295
"East African"	0.124986
"Nihon Keizai Shimbun"	0.124677
"Jerusalem Media and Communication Center"	0.123962
"Seattle Times"	0.122825
"El Mundo"	0.122708
fides	0.122589
"Wenhui Daily"	0.121425
"Daily Mail"	0.120705
"New Light"	0.119585
"Bloomberg News"	0.119225
Eurostat	0.119061
"China Youth Daily"	0.11865
Hurriyet	0.118301
"Le Figaro"	0.118122
BBC	0.11686
"Asahi Shimbun"	0.116508
"Financial Times"	0.115413
ISTAT	0.114505
"Nihon Keizai"	0.113583
"China Daily"	0.113209
L'Equipe	0.110459
"Detroit News"	0.108947
"Information Center"	0.108836
"Koha Ditore"	0.108485
"Beijing Youth Daily"	0.107815
dem	0.107656
"Australian Bureau of Statistics"	0.107291
Sera	0.106045
ABS-CBN	0.106024
"Conference Board"	0.105978
"Daily News"	0.105835
"U.S. Commerce Department"	0.104157
"Washington Post"	0.102864
"Yomiuri Shimbun"	0.10284
NHK	0.102678
Ruehe	0.102078
NTV	0.101641
Sana	0.101579
"Los Angeles Times"	0.1003
"news agency"	0.0995619
Salam	0.0993756
"Boston Herald"	0.0991681
Asahi	0.0991257
Al-Ahram	0.0986493
"Central Bureau of Statistics"	0.0981103
"Economic Daily"	0.0967985
"Chicago Tribune"	0.0958251
"Wall Street Journal"	0.0947301
"Guangming Daily"	0.0942907
"USA TODAY"	0.0941114
"Detroit Free Press"	0.0935787
Aventajado	0.0935291
"news service"	0.0933153
"Miami Herald"	0.0921988
"U.S. Agriculture Department"	0.0914571
CNA	0.091142
"Dallas Morning News"	0.0905866
"Associated Press"	0.0904546
sid	0.0883015
"Kosovo Information Center"	0.0882808
Xinhua	0.0869979
Harmoko	0.0867355
CTV	0.0856083
"Houston Chronicle"	0.0843077
"New York Post"	0.0842372
"Philadelphia Inquirer"	0.0841372
"New York Daily News"	0.0839512
Advani	0.0830428
Inquirer	0.0828974
JMCC	0.0817455
Politika	0.0811909
Dominion	0.0808996
"National Post"	0.0808983
"Economic Planning Agency"	0.080221
Granma	0.0802198
))
(Ansett (desc 1125.37) (sims
Qantas	0.203573
"Air Canada"	0.175149
Lufthansa	0.173768
Varig	0.163463
"Virgin Atlantic"	0.157909
SAA	0.153945
"Brierley Investment"	0.147793
"Fletcher Forest"	0.142296
"Singapore Airlines"	0.135776
ACB	0.123499
"Brierley Investments"	0.123329
"Trans World Airlines"	0.12168
SIA	0.120901
"Cathay Pacific"	0.114929
"Canadian Airlines"	0.11091
AMR	0.110578
Aeromexico	0.108515
NiSource	0.108204
"Delta Air Lines"	0.103493
F.A	0.103408
"South African Airways"	0.10061
Asda	0.100201
"British Airways"	0.099699
"Fletcher Paper"	0.0996677
Iberia	0.0991571
"Malaysia Airlines"	0.0990468
"Northwest Airlines"	0.095834
"Air New Zealand"	0.0954576
FPL	0.095285
"Thai Airways International"	0.0949857
"Australian Cricket Board"	0.094402
"America West Airlines"	0.0943741
"Hongkong Telecom"	0.0927998
"Chronicle Publishing"	0.0925999
"Lion Nathan"	0.0920471
"United Airlines"	0.0891677
"El Al"	0.087544
"China Airlines"	0.087134
"Air China"	0.0864718
"Carter Holt Harvey"	0.08636
Comair	0.0852468
"National Grid"	0.0849405
"British Foreign Office"	0.0849015
XYLAN	0.0845221
ENTERGY	0.0843824
Cathay	0.0833151
"Cathay Pacific Airways"	0.0824858
HKMA	0.0816473
RJR	0.0814822
TWA	0.0810363
UOB	0.0803013
JAT	0.0797531
Autodesk	0.0796763
Viag	0.0795126
"US Airways"	0.0779724
Medtronic	0.0779598
"Alaska Airlines"	0.0776787
NORTHROP	0.077621
"Phelps Dodge"	0.0773639
Dresdner	0.0771792
"American Airlines"	0.0749454
Swissair	0.0744764
"America West"	0.0744213
CSC	0.07422
"Fletcher Energy"	0.0740894
UBS	0.0735279
"Southern Co."	0.0734776
"Gulf Air"	0.0733036
NSA	0.0731922
"Japan Airlines"	0.0728932
"Continental Airlines"	0.0728167
CMGI	0.0727498
Histadrut	0.0726431
Deutsche	0.0724865
Eurotunnel	0.0719257
NTL	0.0709004
VENATOR	0.0708258
USAir	0.0702859
"Norfolk Southern"	0.0701315
Weyerhaeuser	0.0697343
"Con Ed"	0.0693572
"P&AMP;G"	0.0689142
"Liquid Audio"	0.0687988
IDT	0.0686419
"Vietnam Airlines"	0.0685527
TDB	0.0684275
SAirGroup	0.0680638
"Gap Inc."	0.0679185
SDL	0.0674266
SDB	0.0674124
Comsat	0.0673474
Echostar	0.0673333
ExciteAtHome	0.0671224
JAL	0.066716
SPH	0.0666243
"KCP&AMP;L"	0.0666229
COLTEC	0.0660168
ICI	0.066015
Carlsberg	0.0655149
Ba	0.0654534
Hoechst	0.0654393
Gilead	0.0653479
"Kenya Airways"	0.0650393
BankAmerica	0.0649654
NU	0.0649545
Daimler	0.0648663
Transmeta	0.0644595
"U.S. Defense Department"	0.0644147
LIFFE	0.0643854
NatWest	0.0643449
Aetna	0.0641291
Railtrack	0.0641139
UAM	0.0641016
Ana	0.0638627
"Sara Lee"	0.0637663
Alitalia	0.063745
Bae	0.0636881
Totalfina	0.0633841
"Mattel Inc."	0.0631628
"American eagle"	0.0630173
DoCoMo	0.0627641
"Fletcher Building"	0.0624697
"England Club"	0.0624369
MACROMEDIA	0.0623226
"Southwestern Bell"	0.0618039
Northpoint	0.0617097
"Fred Meyer"	0.061519
"Southwest Airlines"	0.0613663
KPA	0.0612916
Daimler-Benz	0.0610102
USEC	0.0609542
"Bay Networks"	0.0609038
"Blue Cross"	0.0608968
"Niagara Mohawk"	0.0607915
"transit authority"	0.0607203
Diageo	0.0606851
CNTA	0.0606772
"Ethiopian Airlines"	0.0605842
CAA	0.0603321
BCE	0.060306
Aeroflot	0.060297
Checkfree	0.0600426
Incyte	0.0598934
"De Beers"	0.0595604
Telmex	0.0593269
Humana	0.0591784
WPP	0.0590931
NCEC	0.058954
"Korean Air"	0.0588938
MetLife	0.0588077
"SPH @@@"	0.0586741
oil-for-food	0.0586558
Starwood	0.0586107
Fedex	0.0583078
UTC	0.0580822
GAAF	0.0579077
Siemens	0.0578446
"Air Lanka"	0.0577727
"Pac Bell"	0.0576865
Penney	0.0576122
ICC	0.0574366
"BP Amoco"	0.0573951
"Turkish Airlines"	0.0572752
"US West"	0.0571177
Emulex	0.0570919
"BellSouth Corp."	0.0570597
Lilco	0.0569653
"Philippine Airlines"	0.0569573
"Turner Broadcasting"	0.0569524
TYCO	0.0568426
"Park Place"	0.0568189
"British Aerospace"	0.0567895
reinvestment	0.0567452
Zapata	0.0565864
ITC	0.0565853
"Thai Airways"	0.0564313
"Dresdner Bank"	0.0564255
"British government"	0.0564
"Culture Ministry"	0.0563358
PEOPLESOFT	0.0562137
Bertelsmann	0.0561794
"U.S. Trust"	0.0559132
Barclays	0.0559081
"R.J Reynolds"	0.055904
"Carl Icahn"	0.0558416
SGI	0.0558292
AIRTRAN	0.0557947
Stroh	0.0554492
KLM	0.0552458
"Air France"	0.0550645
"First Union"	0.0549049
ALZA	0.054758
ZDTV	0.0547402
"Mission Control"	0.0546644
Vivendi	0.05454
ICBC	0.0544265
Transamerica	0.0542423
"Whole Foods"	0.0542352
GPU	0.054152
Terra	0.0540697
))
(Anshan (desc 3036.98) (sims
Dandong	0.315157
Jinzhou	0.293977
Shenyang	0.214848
Fushun	0.208356
Harbin	0.200459
Dalian	0.195001
Qingdao	0.184137
Haicheng	0.182734
CHANGCHUN	0.179225
Baotou	0.176292
Hohhot	0.176063
Yantai	0.170464
Jinan	0.168003
CHENGDU	0.167264
Hangzhou	0.165995
Fuzhou	0.163092
Wuhan	0.162386
Wuxi	0.161625
Taiyuan	0.159322
Qinhuangdao	0.158561
Changsha	0.156746
Chongqing	0.155032
Xining	0.154735
Tianjin	0.153278
Suzhou	0.152918
Ningbo	0.152514
Zhengzhou	0.151103
Xuzhou	0.149939
Shijiazhuang	0.148937
Datong	0.146565
Hefei	0.144808
Baoding	0.144514
Dongguan	0.143591
Zhangjiagang	0.142405
Haikou	0.140624
Chengde	0.140612
Lianyungang	0.13925
Wenzhou	0.137886
Quanzhou	0.137228
Zhangjiajie	0.135482
Nanning	0.135115
NANJING	0.135014
Nanchang	0.134975
Lanzhou	0.13331
Shenzhen	0.133285
Kunming	0.132821
Tangshan	0.132426
Xiamen	0.132363
Weifang	0.131952
Guiyang	0.131642
Zhuhai	0.130487
Changzhou	0.128956
Shashi	0.127591
Zhangzhou	0.127332
Liuzhou	0.125729
Yinchuan	0.124476
Guangzhou	0.123175
Weihai	0.12299
Shantou	0.121695
Daqing	0.12103
Zhanjiang	0.120595
Zhongshan	0.120007
Urumqi	0.119468
Yichang	0.117403
"Liaoning Province"	0.115878
Luoyang	0.115863
Guilin	0.111014
Zhenjiang	0.109142
"Tianjin Municipality"	0.109008
"Heilongjiang Province"	0.108173
Nantong	0.10164
Kandy	0.101042
Xian	0.100305
Jiujiang	0.0970628
Beihai	0.096948
Yangzhou	0.096699
Novosibirsk	0.0963864
Izmir	0.0959454
Cebu	0.0955814
"Jilin Province"	0.0951726
Mashhad	0.0939732
Baalbek	0.0934415
"Fujian Province"	0.0931997
Jilin	0.0929209
"San Pedro Sula"	0.0929076
"Shenzhen City"	0.0921171
Beira	0.0905914
Nago	0.0897611
Bulawayo	0.0887329
Trincomalee	0.0885578
ZHOUSHAN	0.0884293
Guizhou	0.0880307
Huangshan	0.0880022
Shiraz	0.0879601
Bamiyan	0.0874459
Liaoning	0.0872097
Davao	0.0865114
Pusan	0.0863068
"Guangdong Province"	0.085992
Sanya	0.0852877
"Henan Province"	0.0849362
Multan	0.0847566
Kisumu	0.084138
Casas	0.0837593
Turpan	0.0832219
Antalya	0.0831501
Zamboanga	0.0820801
Kuito	0.0820441
"Shenzhen Special Economic Zone"	0.0819897
Hyderabad	0.0816221
Taizhou	0.0815231
Foshan	0.081312
Nagoya	0.0812737
Jingdezhen	0.081102
"Guangxi Zhuang Autonomous Region"	0.0807623
Gansu	0.0806971
Zhangjiakou	0.0805531
"Ciudad Juarez"	0.0797526
"Suzhou Industrial Park"	0.079577
Golmud	0.0793229
Dunhuang	0.0792184
Quetta	0.0783103
"Jiangsu Province"	0.0775757
Bushehr	0.0775137
"Hebei Province"	0.0774261
Rawalpindi	0.0773736
Cartagena	0.0771115
"Sichuan Province"	0.0768976
Mandalay	0.0768168
Posoltega	0.0767745
"Shaanxi Province"	0.0765885
Fujian	0.076497
Diyarbakir	0.0761872
"Liaohe River"	0.0761549
"Hainan Province"	0.0761153
Lijiang	0.076057
Gudermes	0.0758858
"Shanxi Province"	0.0758661
"Anhui Province"	0.0752211
"Ningxia Hui Autonomous Region"	0.0748817
Xishuangbanna	0.0739291
Guayaquil	0.0739278
Najaf	0.0736847
Basle	0.0735726
Hainan	0.0733589
Ndola	0.0733476
Ibadan	0.0732805
Sevastopol	0.0732707
Sapporo	0.0730288
Murmansk	0.072747
Cochabamba	0.0726111
Herat	0.0724402
Peshawar	0.0719427
"Banja Luka"	0.0718797
Nablus	0.0718638
Manado	0.0714312
Khulna	0.0707966
"Shandong Province"	0.0707053
"Jiangxi Province"	0.0697794
Qufu	0.0694123
Bangalore	0.069209
"Xinjiang Uygur Autonomous Region"	0.0691155
Lhasa	0.0689668
"Hunan Province"	0.0687979
Aswan	0.068503
Cotabato	0.068456
Midrand	0.0684162
"Zhejiang Province"	0.0682347
"Inner Mongolia"	0.0680834
Adana	0.0680415
"Ho Chi Minh City"	0.0678284
Bayonne	0.0674816
Bandung	0.0673816
Ismailia	0.067338
Izmit	0.0672597
Mullaitivu	0.0667926
Christchurch	0.0667683
Medan	0.0664667
"CHIANG MAI"	0.066267
"Pudong New Area"	0.0662295
Cyberjaya	0.0661602
Huambo	0.0660894
Trieste	0.0660417
Livingstone	0.0659604
"Hubei Province"	0.0657923
"Yangtze River Delta"	0.0655931
Panzhihua	0.0654297
Shaanxi	0.0653379
Atambua	0.0653035
Monterrey	0.0652487
Kaohsiung	0.0651744
Brockton	0.06507
Qinghai	0.0649913
"Quebec City"	0.0645173
Zhejiang	0.0642893
Isfahan	0.0642855
Tapachula	0.0642739
"Greek capital"	0.0641714
Anhui	0.0641708
Catania	0.0639635
))
("Anson Carter" (desc 4025.81) (sims
"Dmitri Khristich"	0.370499
"Jason Allison"	0.365616
"Sergei Samsonov"	0.352076
"Steve Heinze"	0.34405
"Joe Thornton"	0.341441
"Ted Donato"	0.27786
"Hal Gill"	0.277684
"Don Sweeney"	0.271114
"Landon Wilson"	0.270305
"Kyle McLaren"	0.258486
"Dave Andreychuk"	0.250939
"Ken Belanger"	0.239831
"Rob DiMaio"	0.231133
"Joe Murphy"	0.218218
"Tim Taylor"	0.213397
"Chris Taylor"	0.202827
"P.J Axelsson"	0.194766
"Ray Bourque"	0.168281
"Bill Guerin"	0.162293
"Darren Van Impe"	0.141168
"Alexei Yashin"	0.128438
"Keith Primeau"	0.127199
Samsonov	0.127044
"Alexei Kovalev"	0.126649
Khristich	0.119003
"Byron Dafoe"	0.111898
"Pat Verbeek"	0.107571
"Grant Long"	0.104887
"Rob Tallas"	0.103749
ALLISON	0.103583
"Adam Deadmarsh"	0.102939
Heinze	0.102671
"Jeff Friesen"	0.100042
"Rick Tocchet"	0.0981611
"Claude Lemieux"	0.0976238
"Wendel Clark"	0.0973613
"John Grahame"	0.0961419
"Cedric Ceballos"	0.0960359
"Corliss Williamson"	0.0953897
"Geoff Sanderson"	0.0943468
"Clifford Robinson"	0.0942667
"Todd Harvey"	0.0941293
"Dixon Ward"	0.0940877
Donato	0.0934861
"Joe Juneau"	0.093216
"Mike Sullivan"	0.0929098
"Blake Sloan"	0.0921021
"Keith Tkachuk"	0.0915345
"Darren McCarty"	0.0914401
"Donald Audette"	0.0908139
"Jarvis Turner"	0.090533
"Grant Marshall"	0.090413
"Chris Drury"	0.0895476
"Theo Fleury"	0.0895017
"Peter Forsberg"	0.0890024
"ZIGMUND PALFFY"	0.0887282
"Brad Isbister"	0.0878318
"Patrik Elias"	0.0875186
"Brendan Shanahan"	0.0871046
"Jermaine O'Neal"	0.0864862
"Sean Farnham"	0.0863441
"Tony Amonte"	0.0863012
"Shane Doan"	0.0847837
"Rico Hines"	0.0839261
"Richard Jefferson"	0.0837109
"Alan Henderson"	0.0830334
"Ron Francis"	0.0827268
"Steve Thomas"	0.082229
"Matthew Barnaby"	0.0818562
"Austin Croshere"	0.0817308
"Maurice Taylor"	0.0808957
"Raul Diaz Arce"	0.0802816
"John LeClair"	0.0798602
"Nelson Emerson"	0.0795624
"Dallas Drake"	0.0794674
"Gary Trent"	0.0789904
"Alexander Mogilny"	0.0785271
"Gabe Muoneke"	0.0781558
"Gary Roberts"	0.0778509
"JaRon Rush"	0.0771859
"Stern John"	0.0765041
"Ante Razov"	0.0759734
"Milan Hejduk"	0.075256
"Scot Pollard"	0.074807
"Brian Rolston"	0.0746422
"Derrick Coleman"	0.0745761
DiMaio	0.0744555
"Cliff Ronning"	0.0741248
"Jeremy Roenick"	0.0734774
"Manny Malhotra"	0.0728664
"Tyrone Nesby"	0.0724899
"Sergei Fedorov"	0.0720227
"Chris Carrawell"	0.0720007
Thornton	0.071798
"Chris Crawford"	0.0717274
"Jere Lehtinen"	0.0712932
"J.R Reid"	0.0709143
"Ron Artest"	0.0707426
"Valeri Kamensky"	0.0707101
"Theo Ratliff"	0.0706211
Dafoe	0.0704962
"SCOTT BURRELL"	0.070481
"Clarence Weatherspoon"	0.0703676
"Miroslav Satan"	0.0702954
"Joe Smith"	0.0701642
"Ziggy Palffy"	0.0699187
"Kevin Freeman"	0.0694455
"Brian Scalabrine"	0.0693317
"Travis Green"	0.0686168
"Brian McBride"	0.0685689
"Jason Kapono"	0.0683813
"Pavel Bure"	0.0683535
Primeau	0.0681862
"Pavol Demitra"	0.0678448
"Sam Clancy"	0.0677633
"Bob Corkum"	0.0677091
"Owen Nolan"	0.0676435
"Glen Murray"	0.0674668
"Guy Carbonneau"	0.06719
"Samaki Walker"	0.0671898
Samuelsson	0.0671252
"Ivan Zamorano"	0.0670618
"Eric Lindros"	0.0668402
"Othella Harrington"	0.0667415
"Otis Thorpe"	0.0667262
"Tracy McGrady"	0.066309
"Alen Boksic"	0.0662689
"Jerome Moiso"	0.0661124
"Mike Miller"	0.066079
"Brett Hull"	0.0659331
"Kenyon Martin"	0.0657176
Yashin	0.0654407
"LaPhonso Ellis"	0.0653376
"Raul Gonzalez"	0.06509
"Brian Leetch"	0.0650415
"Rodney Rogers"	0.0649765
"Olli Jokinen"	0.0646933
"Hu Weidong"	0.0646802
"Billy Owens"	0.0646045
"CORIE BLOUNT"	0.0645652
"Vincent Damphousse"	0.064504
"Robert Reichel"	0.0644145
"Shawn Marion"	0.063875
"Alessandro Del Piero"	0.0636629
"Danny Fortson"	0.063466
"Niklas Sundstrom"	0.0634119
"Jayson Williams"	0.0633503
"Mark Madsen"	0.0632154
"Michael Wright"	0.0631959
Tverdovsky	0.0629231
"Shannon MacMillan"	0.0627327
"Jozef Stumpel"	0.0625839
"Raef LaFrentz"	0.0623309
"Donyell Marshall"	0.0621054
Belanger	0.0620971
"Rick Fox"	0.0618612
"Aki Berg"	0.0618174
"Steve Rucchin"	0.0617979
"Tom Gugliotta"	0.0616699
"Tamika Catchings"	0.0616503
"Jaromir Jagr"	0.0615476
"Predrag Mijatovic"	0.0613917
Audette	0.0613832
"Brian Skinner"	0.0613293
"Sandis Ozolinsh"	0.0612514
"Kris Clack"	0.0608265
"Jamie Langenbrunner"	0.0607582
"Detlef Schrempf"	0.060741
Leetch	0.0604493
"Shane Battier"	0.0603348
"Jerome Kersey"	0.0602782
"Don Maclean"	0.0600606
"Jamir Miller"	0.0599585
"Greg Adams"	0.059425
"Paul Kariya"	0.0592826
"Matt Barnes"	0.0591607
Langenbrunner	0.0589638
"Doug Gilmour"	0.0589563
"Joe Nieuwendyk"	0.0588292
Stumpel	0.0587611
"Eric Wynalda"	0.0584006
"Keith Jones"	0.0583257
Tkachuk	0.0581884
"Vin Baker"	0.0581859
"Paul Pierce"	0.0581777
"Brian Grant"	0.0580831
"Chris Mills"	0.0579339
"P.J Brown"	0.0576874
"Dale Davis"	0.0576361
Hlavac	0.0575707
Smolinski	0.0573669
"Herb Williams"	0.0572931
"Matt Bullard"	0.0572839
"Horace Grant"	0.0572685
Fleury	0.0572675
"Dale Hunter"	0.0572056
"Tony Massenburg"	0.0571619
"Olden Polynice"	0.0570847
"Bobby Phills"	0.0570122
"Vladimir Tsyplakov"	0.0569802
))
("Anson Chan" (desc 2585.93) (sims
"Donna Shalala"	0.168829
"Jia Qinglin"	0.165223
"Khin Nyunt"	0.15223
"Tung Chee Hwa"	0.151872
"Henry Cisneros"	0.142043
"Tung Chee-Hwa"	0.141085
"Robert E. Rubin"	0.138673
"Andrew Cuomo"	0.138605
"Huang Ju"	0.132692
Siazon	0.130626
"Edmund Ho Hau Wah"	0.129104
Tung	0.126306
"Robert Aventajado"	0.124766
"Michael Portillo"	0.122879
"Stuart Eizenstat"	0.120131
"Rodney Slater"	0.119434
"Lawrence Summers"	0.118103
Jayakumar	0.117383
"Mo Mowlam"	0.116133
"Tin Oo"	0.113463
Meguid	0.113041
"John Prescott"	0.112028
"Peter Mandelson"	0.110485
"Orlando Mercado"	0.110077
Kasoulides	0.10962
"Michael Heseltine"	0.108111
"Robin Cook"	0.107066
Guterres	0.106512
Rodionov	0.10647
"Dan Glickman"	0.101309
"Alexander Lebed"	0.0994714
"Jack Straw"	0.0990316
"Chris Smith"	0.0977667
"de Charette"	0.095927
"William Bennett"	0.0951741
Velayati	0.0950545
"William Daley"	0.0927638
Zou	0.0922612
"Mikhail Kasyanov"	0.0919892
Aventajado	0.0915981
"Ricardo Alarcon"	0.0911973
Jia	0.0910921
"Wei Jianxing"	0.0901514
Moratinos	0.0898691
Granic	0.0898618
Pustovoitenko	0.089155
"George Robertson"	0.0891053
"William Perry"	0.088574
"Dai Xianglong"	0.0880858
"Robert Rubin"	0.0878855
"Betty Currie"	0.0875205
Nzo	0.0870043
Azad	0.0867772
Berri	0.08643
Ruehe	0.0864282
Shamshad	0.0863773
Rifkind	0.0862374
Muoi	0.0859499
"Chief Secretary"	0.0850908
Caldera	0.0847877
Brittan	0.0845968
Majali	0.0836487
Xanana	0.0820464
Tsang	0.0819671
"Zhou Nan"	0.0817716
Akayev	0.0808572
"Bernard Kouchner"	0.0806357
"Lu Ping"	0.0796636
Scalfaro	0.0795469
"Mike Espy"	0.0795269
"Yukio Hatoyama"	0.0793236
Fino	0.0792182
Karimov	0.078734
Modise	0.0786026
Ikimi	0.0783881
"Bill Richardson"	0.0774075
"Robert Reich"	0.0772025
"Stanley Fischer"	0.076997
Rong	0.0767794
Severino	0.0767527
"Alexis Herman"	0.07662
Daley	0.0758596
Diouf	0.0754872
Hwa	0.0751828
"Mahmoud Abbas"	0.0751437
Husseini	0.0748558
"Chen Ziying"	0.0745718
Singson	0.0741198
Leghari	0.0732166
Lipponen	0.073162
"Pascoal Mocumbi"	0.0729673
"M. Douglas Ivester"	0.0723854
Shaath	0.0720696
Iliescu	0.0720667
"Nur Misuari"	0.0717462
Tarawneh	0.0716953
Bruton	0.0712945
Komura	0.0711011
Shareh	0.0710216
"Pervez Musharraf"	0.0708152
Jovanovic	0.0703171
"Dick Cheney"	0.0700434
Alatas	0.0697625
Sumaye	0.0697432
Tian	0.06974
"Yuri Maslyukov"	0.0696855
Abdel-Meguid	0.0695608
Boueiz	0.069525
Sahnoun	0.0692231
"William Hague"	0.069143
Pei	0.0691374
"Joel Klein"	0.0688242
Luo	0.0684976
Verney	0.068411
Stoyanov	0.068232
"Abu Mazen"	0.0679682
"Ron Brown"	0.0678924
Stroyev	0.0677077
Dai	0.06756
"Bruce Babbitt"	0.0673752
"Airport Authority"	0.0671908
Phieu	0.06718
"Chris Patten"	0.0668424
Wei	0.0666732
Kyprianou	0.0666493
Kharrazi	0.0665976
Xiang	0.0665135
Qian	0.0664504
Holl	0.0662263
Wolfensohn	0.0660786
Erekat	0.0658323
Dini	0.0657768
Troussier	0.0656405
Leung	0.0655723
Aziz	0.0654892
Malan	0.0653122
"William Cohen"	0.0651098
"Faisal Husseini"	0.0650655
Constantinescu	0.0650182
Zeng	0.0650146
Majko	0.0647999
"John Morris"	0.0647532
Kok	0.0643603
Shalala	0.0640176
Cem	0.0638132
"Mel Karmazin"	0.0637359
"Amnuay Virawan"	0.0635669
Khaddam	0.0634526
Arrives	0.0633906
Insulza	0.0633187
"Saeb Erekat"	0.0632467
Rakhmonov	0.0632402
Pickering	0.0631726
Prewitt	0.0630592
Ganzouri	0.0629854
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0628705
"Carlos Westendorp"	0.0626235
Khai	0.0625927
Obeid	0.0624954
Orban	0.0622638
"Abdullah Ahmad Badawi"	0.0622586
Chavalit	0.061666
"Defense William Cohen"	0.0616367
Klestil	0.0614893
Meles	0.0614806
Xiao	0.0614502
"Provisional Legislative Council"	0.0612342
"Barry McCaffrey"	0.0611961
Nemtsov	0.0611941
Camdessus	0.0609286
Ahmad	0.0609246
Qiao	0.0608901
Gurirab	0.0607256
"David Bar-Illan"	0.0606374
Shi	0.0604519
Rawabdeh	0.0603947
Mercado	0.0602207
Azizah	0.0601781
Nazarbayev	0.0601275
Bildt	0.060015
"Renato Ruggiero"	0.0599915
"Craig Barrett"	0.0599689
Saleh	0.0597283
Yazdi	0.0596095
"Lamar Alexander"	0.0595506
Hrawi	0.0595365
"Than Shwe"	0.059485
"Lee Hsien Loong"	0.0594698
Hamad	0.059467
"Michel Camdessus"	0.0593975
Mkapa	0.059383
Glickman	0.0592788
Aleman	0.0592785
"Alexander Hamilton"	0.0591205
Chissano	0.0590455
Gujral	0.0590352
Ren	0.0589066
Prueher	0.0588707
McGuinness	0.0588654
Vedrine	0.0588335
))
("Ansumane Mane" (desc 1122.11) (sims
"Pervaiz Musharraf"	0.255713
"John Shalikashvili"	0.236362
"Shaul Mofaz"	0.228679
"Lino Oviedo"	0.204212
"Xanana Gusmao"	0.204098
"Robert Guei"	0.192908
"Joseph Ralston"	0.184445
"Xiong Guangkai"	0.181228
"Ratko Mladic"	0.174954
"Pervez Musharraf"	0.16632
"Maung Aye"	0.162031
"Norman Schwarzkopf"	0.155082
Ghalib	0.152208
"Renato Ruggiero"	0.149081
"Omar Torrijos"	0.148192
"Hugh Shelton"	0.146747
"Khin Nyunt"	0.14493
"Manuel Noriega"	0.144564
"Barry McCaffrey"	0.143869
"Aslan Maskhadov"	0.143622
Sutiyoso	0.14361
"Klaus Naumann"	0.143056
"Alexander Lebed"	0.142912
"Henry Shelton"	0.141868
"Vladimir Yakovlev"	0.139069
"Ta Mok"	0.138454
"Wolfgang Schaeuble"	0.137044
"Oladipo Diya"	0.133399
"Robert E. Lee"	0.131678
"Ronnie Flanagan"	0.131506
"Salim Saleh"	0.130931
Eyadema	0.126284
"Victor Malu"	0.124072
"Charles de Gaulle"	0.123342
"Wesley Clark"	0.122732
Musharraf	0.121863
Guei	0.121839
"Roosevelt Johnson"	0.119427
"Abdulsalam Abubakar"	0.119399
"Henry H. Shelton"	0.117014
"Fu Quanyou"	0.115078
"Than Shwe"	0.114644
"Ray Evernham"	0.113548
"Le Kha Phieu"	0.113437
"Rolf Ekeus"	0.112091
"Abdulsalami Abubakar"	0.110483
mane	0.109824
"Paul Kagame"	0.109455
"Hashim Thaci"	0.109046
"Danny Yatom"	0.108205
"Barry R. McCaffrey"	0.10732
"Douglas MacArthur"	0.106106
"Howard Baker"	0.105139
"Richie Phillips"	0.104813
"Olusegun Obasanjo"	0.104321
"Dwight D. Eisenhower"	0.104171
"Tin Oo"	0.102229
"Michel Camdessus"	0.10163
"Prabowo Subianto"	0.101602
"Rashid Dostum"	0.099991
"Zhang Wannian"	0.0969721
Chand	0.0963353
"Johnny Paul Koroma"	0.0959198
"Ulysses S. Grant"	0.0958951
"Mike Jackson"	0.095631
Aideed	0.0951304
"Tom Welch"	0.0949374
"Bernard Kouchner"	0.0932443
"Boris Fyodorov"	0.093182
"Sani Abacha"	0.09216
"Nur Misuari"	0.0919569
killed	0.0915535
"Igor Sergeyev"	0.0911901
Vasile	0.0896183
Wiranto	0.089382
"Billy Payne"	0.0893214
"Chavalit Yongchaiyudh"	0.0875327
"Ariel Sharon"	0.0874717
"Gro Harlem Brundtland"	0.0874663
"Erskine Bowles"	0.0873932
"Joel Klein"	0.0870345
"Charles LaBella"	0.086313
"Wim Duisenberg"	0.0858295
"Faisal Husseini"	0.0857145
Brigadier	0.085502
"Colin Powell"	0.084591
"Abdul Malik"	0.0839357
"William Hague"	0.0820722
"William Walker"	0.0820319
"Gulbuddin Hekmatyar"	0.0819963
"Mike Moore"	0.0817915
Vieira	0.0817884
Buyoya	0.0815563
Ekeus	0.081204
"Jonas Savimbi"	0.0801705
"Bernie Ecclestone"	0.0801512
"Chi Haotian"	0.0794291
Prabowo	0.0792769
"Ieng Sary"	0.0790724
"Dai Bingguo"	0.0789729
Abubakar	0.0781872
"Begum Khaleda Zia"	0.0777637
"Francisco Franco"	0.0772406
"Shamil Basayev"	0.0771744
"Esmat Abdel Meguid"	0.0770966
"Mary Robinson"	0.0764808
"David Duke"	0.0755666
"Foday Sankoh"	0.0750455
"Thomas Pickering"	0.0748788
"Helen Clark"	0.074745
"John Podesta"	0.0741212
Dirani	0.0739527
"John Koskinen"	0.0739228
Misuari	0.0728438
"Khaleda Zia"	0.0724624
"Joint Liaison Group"	0.0722742
Rais	0.072152
"Harold Ickes"	0.0720102
"Seamus Mallon"	0.071019
Lebed	0.0707607
"Zapatista National Liberation Army"	0.0707248
"George Speight"	0.0704941
"Michael Jackson"	0.0704623
"Martin Lee"	0.0703092
"Vladimiro Montesinos"	0.0701126
"Kim Yong Nam"	0.0699476
"Pierre Buyoya"	0.0699231
"Gennady Zyuganov"	0.0695934
Synod	0.0694735
"Aung San Suu Kyi"	0.068848
McCaffrey	0.068708
"Ethnic Albanians"	0.0686229
Buthelezi	0.0685948
"Tansu Ciller"	0.0685342
"Bizima Karaha"	0.0680342
"Sergio Vieira de Mello"	0.0675128
Tarawneh	0.067131
"Joerg Haider"	0.0670415
"Liu Huaqing"	0.0667631
"Bill Lann Lee"	0.0662974
"Sali Berisha"	0.0662504
"Anatoly Chubais"	0.0661567
"Alexander Shokhin"	0.0661466
"Chen Gang"	0.0660182
"Zoran Djindjic"	0.0658199
Benazir	0.0658081
"Eileen Collins"	0.0657896
"Sadako Ogata"	0.0657016
"Jack Valenti"	0.0655071
"Sam Rainsy"	0.0651694
"Oskar Lafontaine"	0.0649756
"Joseph Bruno"	0.0645585
"David Hale"	0.0642495
"Grigory Yavlinsky"	0.0642
Koch-Weser	0.0640787
Omar	0.0640414
"Lokendra Bahadur Chand"	0.0633688
Foods	0.0632743
chun	0.0631575
"Eisuke Sakakibara"	0.0627313
UML	0.062655
"Salim Ahmed Salim"	0.062631
"Yu Yongbo"	0.0622141
Mokhehle	0.0621113
"Hans von Sponeck"	0.0616804
"Alejandro Toledo"	0.0616563
Kulikov	0.0615911
Ershad	0.06123
"Ayatollah Khomeini"	0.0612091
"De Klerk"	0.0611526
"Ayatollah Ruhollah Khomeini"	0.0610758
"Vojislav Kostunica"	0.0610167
RCD	0.0608405
"Richard Butler"	0.0606432
"George Robertson"	0.0603702
Karimov	0.0602737
Peretz	0.0602484
Dudayev	0.0600752
"Vuk Draskovic"	0.0600715
Koehler	0.060046
"Islamic Welfare Party"	0.0600238
"Abu Mazen"	0.0599695
Majko	0.0596131
Draskovic	0.059508
"Billy Hunter"	0.0592223
"Bruce Teitelbaum"	0.0591843
Denktash	0.0591175
"John Taylor"	0.0590594
Cavallo	0.0590384
"Madalyn Murray O'Hair"	0.0588747
"Aryeh Deri"	0.0587055
Ruehe	0.0581043
"Milos Zeman"	0.0579512
"Afghan Taliban"	0.0577964
"Mikulas Dzurinda"	0.0574737
"James Jones"	0.0573964
"John Bruton"	0.057333
"proxy fight"	0.057261
"Boutros Boutros-Ghali"	0.0572338
Sandinistas	0.057121
))
(answer (desc 102642) (sims
response	0.152987
explanation	0.13989
reply	0.128363
solution	0.125659
question	0.107694
reaction	0.100797
message	0.099232
comment	0.0989471
information	0.098402
word	0.0983175
truth	0.0966764
conclusion	0.0959417
advice	0.0951748
statement	0.0937492
idea	0.0928249
testimony	0.0913053
thing	0.091202
approach	0.0902753
reason	0.0897172
detail	0.0861617
clue	0.0842888
evidence	0.0838756
remedy	0.083689
alternative	0.0835754
result	0.0819242
description	0.0806027
opinion	0.0804701
suggestion	0.0802428
argument	0.0799744
fix	0.07926
outcome	0.0786591
story	0.0773771
decision	0.0771516
option	0.0768457
strategy	0.0760528
choice	0.0758964
reference	0.075763
letter	0.0754935
excuse	0.0751923
apology	0.0751711
proof	0.074917
instruction	0.0747038
key	0.0742527
report	0.0739707
attention	0.073874
way	0.0735312
finding	0.072423
assurance	0.0718034
challenge	0.0715469
something	0.0714746
remark	0.0713496
thought	0.0712775
recommendation	0.0712459
prediction	0.0712096
assessment	0.0711933
news	0.0708527
meaning	0.0705992
definition	0.0700958
name	0.0699702
cure	0.0698514
fact	0.0698074
rationale	0.0696313
feedback	0.0695371
guess	0.0695318
compromise	0.0693569
scenario	0.0687903
change	0.0684196
plan	0.0683796
phrase	0.0683519
joke	0.0682511
view	0.0681243
problem	0.0680347
data	0.0680293
stuff	0.0679376
attitude	0.0678364
Formula	0.0677616
lesson	0.0676541
support	0.0672706
interpretation	0.0672016
judgment	0.0670469
resolution	0.067041
recipe	0.0668271
nothing	0.0666981
document	0.066694
specific	0.066661
opportunity	0.0665806
proposal	0.0664159
issue	0.0663242
chance	0.0660936
address	0.0660905
insight	0.0660353
tip	0.0656882
rebuttal	0.0655537
motivation	0.0655087
it	0.0654021
surprise	0.0653541
tone	0.065347
criticism	0.0652154
step	0.0647395
look	0.064596
antidote	0.0645479
vote	0.0644271
conversation	0.0641766
query	0.0641288
picture	0.0641171
speech	0.0641095
warning	0.063952
guidance	0.063688
sign	0.0636622
anything	0.0635669
yes	0.0635657
analysis	0.0635325
deal	0.0634198
measure	0.0632228
feeling	0.0630931
sense	0.0629257
commitment	0.0628472
indication	0.0628457
vision	0.0626067
gift	0.0625265
success	0.0625165
motive	0.0624656
everything	0.0623193
tool	0.0622681
method	0.0621061
logic	0.0619807
language	0.0619589
reality	0.0619303
signal	0.0617835
claim	0.0615195
direction	0.0614935
action	0.0614698
no	0.0614344
number	0.0614158
theory	0.0613784
experience	0.0613389
verdict	0.0612953
behavior	0.0611696
figure	0.0611408
appeal	0.0610061
access	0.0609219
voice	0.0608167
complaint	0.0606278
theme	0.0606273
treatment	0.0606108
observation	0.0605092
factor	0.060495
focus	0.0603839
point	0.0602123
Declaration	0.0601907
note	0.0600934
example	0.0600441
situation	0.0599901
clarification	0.0599869
understanding	0.0599425
what	0.0599223
return	0.0598125
notion	0.0596967
justification	0.0596241
password	0.059615
list	0.0595686
position	0.0595122
manner	0.0594464
priority	0.0593923
role	0.0593916
ruling	0.0591332
discussion	0.0590998
request	0.0590448
life	0.0589582
respect	0.0588914
performance	0.0588797
style	0.0588611
concept	0.0587959
this	0.0587349
trick	0.0587189
impression	0.0586459
hope	0.0584762
expression	0.0582672
test	0.058231
calculation	0.0582271
possibility	0.0581556
gesture	0.0580295
inspiration	0.0580207
version	0.0579709
part	0.0578511
bargain	0.0578077
promise	0.0577439
debate	0.0577172
element	0.0576136
revelation	0.0573834
benefit	0.0573496
piece	0.05733
concern	0.0573214
stance	0.0571607
confirmation	0.0570747
content	0.0570706
material	0.0570607
script	0.0569599
order	0.0568966
image	0.0568634
))
("Answer Lively" (desc 1659.3) (sims
Anees	0.277107
"Desert Hero"	0.234268
"Worldly Manner"	0.208241
Menifee	0.197761
"Ecton Park"	0.187268
"Kimberlite Pipe"	0.175176
"Victory Gallop"	0.171538
"Prime Timber"	0.165374
Wondertross	0.16444
"Fusaichi Pegasus"	0.16411
"Free House"	0.153531
Malek	0.153253
"River Keen"	0.15313
"Regina Jacobs"	0.150049
Valhol	0.145109
Behrens	0.143734
charismatic	0.142639
vicar	0.14125
"Cat Thief"	0.141154
"Lemon Drop Kid"	0.140179
"Red Bullet"	0.136766
Daylami	0.136442
Sautin	0.135438
Artax	0.13409
"Favorite Trick"	0.133466
Tanui	0.131353
"High Yield"	0.130483
Silverbulletday	0.129156
"Beautiful Pleasure"	0.129001
Adonis	0.128391
"Winning Colors"	0.125878
"Forest Camp"	0.12443
"Excellent Meeting"	0.123643
"Stephen Got Even"	0.122492
"Silver Charm"	0.120722
"Bjarne Riis"	0.117719
Budroyale	0.116518
"Banshee Breeze"	0.116303
Luyendyk	0.112092
Surfside	0.111937
"Cash Run"	0.109688
"Real Quiet"	0.108254
Devers	0.105927
Chilukki	0.105473
"Miguel Indurain"	0.105007
"Earnhardt Jr."	0.104906
"Fu Mingxia"	0.103188
Bruguera	0.10306
"Running Stag"	0.102571
"Old Trieste"	0.102352
Klim	0.102117
"Kenny Brack"	0.101407
Kipketer	0.0987515
"War Chant"	0.098118
Arazi	0.0975464
Godina	0.0974947
"Elvis Stojko"	0.0969991
Pantani	0.0969711
"El Guerrouj"	0.0946493
Ferdinand	0.0932985
"Richard Mandella"	0.0921047
Kagwe	0.0920555
"Juha Kankkunen"	0.0917553
Sainz	0.0916006
Kjus	0.0902824
"Elena Berezhnaya"	0.0902747
"Buddy Lazier"	0.0900746
"Eddie Cheever"	0.0898192
Doohan	0.0891479
"Fatuma Roba"	0.0885344
"Awesome Again"	0.088107
"Hiroyasu Shimizu"	0.0878115
Ottey	0.0877698
"Svetlana Masterkova"	0.0875034
"Koji Ito"	0.0874706
"Skip Away"	0.0874221
Szabo	0.0869091
"Jearl Miles-Clark"	0.0862237
Butyrskaya	0.0858831
Baumann	0.0857452
"HANK KUEHNE"	0.085415
"Deon Hemmings"	0.0842881
"Lasse Kjus"	0.0840358
"Paul Tergat"	0.0839487
"Marco Pantani"	0.0827377
"Hilde Gerg"	0.0821811
"Ron Dayne"	0.081953
"Seattle Slew"	0.08113
"Arie Luyendyk"	0.0803251
"Gail Devers"	0.0799827
"Maria Mutola"	0.0797727
"Li Jiajun"	0.079261
"Olin Browne"	0.0791986
"Svetlana Khorkina"	0.0789211
"Pernilla Wiberg"	0.0788125
Tomba	0.078632
"Alex Zanardi"	0.0785734
"Renate Goetschl"	0.078304
Gebrselassie	0.0780971
Trippi	0.0780948
"straight man"	0.0774812
commendable	0.0767413
"Tom Steels"	0.0767319
Affirmed	0.0764689
"Penny Heyns"	0.0764591
Janzen	0.076237
"Pavel Tonkov"	0.0757415
"Cathy Freeman"	0.0757052
"Maurice Greene"	0.0750527
"Darrell Waltrip"	0.0750389
grindstone	0.0748892
"Hugh Hefner"	0.0747975
"Chris Boardman"	0.0747814
"Dong Jiong"	0.0746468
"Garry Kasparov"	0.0744578
"Guo Jingjing"	0.0743051
Popov	0.0740513
"Puerto Madero"	0.0734448
"Doak Walker"	0.0731966
"Nick Zito"	0.0730136
"Wang Chunlu"	0.0729915
Aamodt	0.0727625
"Juan Montoya"	0.0724913
Khannouchi	0.0724199
Wiberg	0.0724183
Ullrich	0.0721311
Inkster	0.0718832
"Zoran Primorac"	0.0716718
"Moses Tanui"	0.0715485
Heyns	0.0714611
"Dario Franchitti"	0.0713102
Batten	0.0711504
"Jubilo Iwata"	0.0710739
filly	0.0709478
"Lance Armstrong"	0.0707058
Roba	0.0705497
"Scott Goodyear"	0.0705275
"Greg Ray"	0.070495
"Mark Brooks"	0.0704797
"Tommi Makinen"	0.0704459
"Michael Andretti"	0.0704186
"Claudia Pechstein"	0.0703705
Nicol	0.0701584
"Wilson Kipketer"	0.0700983
Kafelnikov	0.0700922
"Ji Xinpeng"	0.0699997
"Deborah Compagnoni"	0.0699817
"Alexei Urmanov"	0.0699265
"Dale Earnhardt Jr."	0.0696866
"Yang Yang"	0.0696238
Kwan	0.0695339
"Justin Leonard"	0.0693774
"Lee Janzen"	0.0691261
Montoya	0.068843
Berasategui	0.0685333
"Dat Nguyen"	0.0684566
"Trung Canidate"	0.0683647
"Billy Mayfair"	0.0680224
"Wang Nan"	0.0679372
"Dale Jarrett"	0.0679089
"Pat Day"	0.0678207
"Sanchez Vicario"	0.0675622
Zanardi	0.0675583
Kong	0.0674553
Villeneuve	0.0673477
"Arnaud Di Pasquale"	0.066697
Faldo	0.0666718
"A.P Indy"	0.0666649
Unser	0.066626
Zuelle	0.0665623
"Isolde Kostner"	0.0664212
Labonte	0.0663856
"Hal Sutton"	0.0662905
Fredericks	0.0661012
Sayonara	0.0658734
"Vanessa Atler"	0.065754
"Gil Morgan"	0.0656067
Sotomayor	0.0653595
"Laurent Brochard"	0.0652787
"Karrie Webb"	0.065264
O'Meara	0.065129
Krajicek	0.0650578
"Touch Gold"	0.0649774
"Hale Irwin"	0.0643598
Samuelson	0.0643382
"Derrick Adkins"	0.0643379
aptitude	0.0642777
"Katja Seizinger"	0.0641003
Halard-Decugis	0.0640321
"Richard Hatch"	0.0639131
"Bob Baffert"	0.0639059
"Irina Privalova"	0.0638664
Hentgen	0.0636798
Seles	0.0636441
Olano	0.0635356
"Thunder Gulch"	0.0635157
"Steve Elkington"	0.0635074
"Colin McRae"	0.0633114
Nacional	0.0631958
Pippig	0.0628797
))
(ant (desc 18525.8) (sims
insect	0.144093
"fire ant"	0.139527
termite	0.133843
WASP	0.120255
scorpion	0.119515
beetle	0.117301
bee	0.11612
moth	0.112573
mosquito	0.107098
locust	0.105874
rat	0.103736
spider	0.101296
snake	0.0979549
bug	0.0920433
cockroach	0.0918499
rodent	0.0914576
mite	0.0882166
Roach	0.0865676
worm	0.0863179
bird	0.0854611
dragonfly	0.0840628
grasshopper	0.0828195
butterfly	0.0826065
pest	0.0798376
honeybee	0.0788412
crocodile	0.0779997
maggot	0.0762228
turtle	0.0754336
alligator	0.0743604
creature	0.0739528
earthworm	0.0733183
ladybug	0.0728334
Caterpillar	0.0725949
flea	0.0714964
aphid	0.0713899
animal	0.0702326
Dinosaur	0.0699897
monkey	0.069865
critters	0.067965
mice	0.0669753
elephant	0.0653021
grub	0.0649331
reptile	0.0647831
lizard	0.0646849
pigeon	0.0641738
deer	0.0635377
fungi	0.0634824
bacteria	0.0631494
woodpecker	0.062212
fungus	0.0613481
hummingbird	0.0606914
fish	0.060052
Primate	0.0597364
"flowering plant"	0.0596265
weed	0.0595594
rattlesnake	0.0595244
snail	0.0590347
crustacean	0.0588183
amphibian	0.0588166
larvae	0.0587006
tick	0.0584194
mammal	0.0583621
CAT	0.0579247
bluebird	0.0578446
frog	0.0567156
dog	0.0567
shark	0.0564878
weevil	0.0560811
squirrel	0.0550819
"yellow jacket"	0.0535805
vermin	0.0535285
pig	0.0534436
rabbit	0.053125
beast	0.0529381
monster	0.0529034
"fruit fly"	0.0528981
whale	0.052841
swarm	0.0526563
"sea turtle"	0.0526267
beaver	0.0524778
leech	0.0522306
specie	0.0521151
algae	0.0518827
crab	0.051833
iguana	0.0517782
chimp	0.0506308
geese	0.0505024
leopard	0.0504883
mouse	0.0497091
infestation	0.0490216
parasite	0.0489454
critter	0.0489067
microbe	0.0489019
tarantula	0.0487968
ape	0.0486059
sparrow	0.0483692
alien	0.0482206
toad	0.0478552
organism	0.0476831
cormorant	0.047571
egret	0.0470958
parrot	0.0469194
mollusk	0.0467746
"giant panda"	0.0465997
flower	0.0462844
goat	0.0460106
virus	0.0459544
dirt	0.0458643
owl	0.0458343
cow	0.0458068
predator	0.0456357
panda	0.0455018
Lice	0.0454864
vertebrate	0.0454635
tiger	0.0453035
gorilla	0.0452598
crow	0.0452121
swan	0.0451914
"black bear"	0.0450981
clown	0.0449287
chimpanzee	0.0448599
"young man"	0.0448594
seaweed	0.0447896
orchid	0.0445039
skunk	0.0439043
trout	0.04388
fairy	0.043684
Hornet	0.0436084
chick	0.043511
Crane	0.0434085
horde	0.0432024
sheep	0.0431494
dolphin	0.0431449
chicken	0.0428963
lion	0.0428065
dragon	0.0426346
teen-ager	0.0424104
dust	0.0424055
lump	0.0423044
vegetation	0.0422389
mole	0.0421358
Frisbee	0.0419729
rhino	0.0419349
asteroid	0.0419111
canker	0.0417611
wildflower	0.0416797
"young woman"	0.0415603
elk	0.0415007
abalone	0.0414955
"killer whale"	0.0413844
Finch	0.0413341
bunny	0.0413096
wimp	0.040983
octopus	0.0409808
mule	0.0407345
tortoise	0.0405579
teenager	0.0405342
kangaroo	0.0404973
wildlife	0.040473
fauna	0.0403913
serpent	0.0403734
orangutan	0.0403107
scavenger	0.0402937
wandering	0.0402117
teens	0.0401971
youngster	0.0401538
salamander	0.0400776
))
(antacid (desc 1621.96) (sims
antihistamine	0.196491
acetaminophen	0.138709
ibuprofen	0.137543
melatonin	0.132737
vitamin	0.131138
aspirin	0.128256
painkiller	0.127456
laxative	0.118292
Advil	0.11721
Tylenol	0.11481
ointment	0.0944871
sedative	0.0933642
"sleeping pill"	0.0915106
lozenge	0.0863962
shampoo	0.0859164
"amino acid"	0.0846351
"shaving cream"	0.0822494
antibiotic	0.0790642
"food additive"	0.0750404
"lip balm"	0.0741359
"prescription medicine"	0.0730858
antioxidant	0.0679005
contraceptive	0.0666715
tampon	0.0660695
Prilosec	0.0658948
diagnostics	0.0653135
anti-inflammatory	0.0640149
Claritin	0.0624826
Tonic	0.0609236
"laundry detergent"	0.0608466
tranquilizer	0.0589611
angioplasty	0.0566974
lotion	0.0556148
"face lift"	0.055459
acupuncture	0.0554517
anesthetic	0.055098
"alternative medicine"	0.0548721
ephedra	0.0538396
electrolyte	0.0528818
ex-convicts	0.0516621
Zoloft	0.0514666
stimulant	0.0510749
Paxil	0.0501546
serotonin	0.0499225
"St. John's wort"	0.0498968
lithium	0.0496147
androstenedione	0.0496041
selenium	0.0485002
mouthwash	0.0482152
"act of God"	0.0474455
deodorant	0.0472559
"medical instrument"	0.0465997
enema	0.0460265
"B vitamin"	0.0452759
pseudoephedrine	0.045157
kava	0.044954
LIPITOR	0.0448293
"vitamin D"	0.0446669
"folic acid"	0.0446664
nevirapine	0.044606
gallbladder	0.0444227
"water filter"	0.0441706
flack	0.043625
opiate	0.043511
hypnosis	0.0433221
"supper club"	0.0427663
toiletry	0.0426253
Seltzer	0.0426083
amphetamine	0.0422969
Herceptin	0.042059
echinacea	0.0416227
"pet food"	0.0415845
"corn syrup"	0.0415647
mascarpone	0.0414565
Pondimin	0.0411149
"sheet music"	0.0408208
"Dom Perignon"	0.0406459
enhancer	0.0402818
licking	0.0401558
))
(antagonism (desc 8039.05) (sims
animosity	0.163858
enmity	0.160141
mistrust	0.138898
hostility	0.137779
"ill will"	0.13699
resentment	0.133565
hatred	0.121245
distrust	0.118448
bitterness	0.116622
acrimony	0.111729
tension	0.108735
anger	0.102209
prejudice	0.102056
rancor	0.101139
animus	0.100324
polarization	0.0994635
discord	0.0961115
antipathy	0.092893
jealousy	0.09097
strife	0.090531
misunderstanding	0.0900308
anxiety	0.0867351
grudge	0.0864646
insecurity	0.0858908
friction	0.0851592
schism	0.083067
suspicion	0.0829583
rift	0.0829265
rivalry	0.0821971
intolerance	0.0814337
divisiveness	0.0804685
disillusionment	0.079704
envy	0.079651
unease	0.0794186
uneasiness	0.0771985
confusion	0.074772
bickering	0.0744601
ambivalence	0.0736839
"bad blood"	0.0732376
feud	0.072929
cynicism	0.0720287
inequality	0.0711008
controversy	0.0710708
"inferiority complex"	0.070522
discontent	0.0702499
estrangement	0.070134
favoritism	0.069391
dissension	0.0690691
discomfort	0.0689544
sentiment	0.0678037
recrimination	0.0672531
disunity	0.0667773
anti-Semitism	0.0664132
disagreement	0.0660953
impatience	0.0659556
dissatisfaction	0.0658804
contradiction	0.065823
unrest	0.0647539
frustration	0.0646621
skepticism	0.0644273
bigotry	0.0638598
confrontation	0.0637837
infighting	0.0630339
inequity	0.0629946
instability	0.0622323
belligerence	0.0621657
squabble	0.0612063
inhibition	0.0608282
paranoia	0.060518
fissure	0.0603193
reconciliation	0.0602245
xenophobia	0.059972
bias	0.0597899
partisanship	0.0596637
apathy	0.0596457
"difference of opinion"	0.0596214
misconception	0.0591363
outrage	0.0588503
malice	0.0588152
loathing	0.0587844
misgiving	0.0587021
uncertainty	0.058262
stigma	0.0580249
condescension	0.0579899
nervousness	0.0579785
dislike	0.0578405
"blood feud"	0.0576754
resistance	0.0573657
indignation	0.0569171
lethargy	0.0568992
hysteria	0.0568851
apprehension	0.0566614
outcry	0.0565706
racism	0.0564821
excitement	0.0564413
"fault line"	0.0562403
warfare	0.0558181
indecision	0.0551799
finger-pointing	0.0550845
bloodshed	0.0546882
pessimism	0.0544047
haggling	0.0540173
unpleasantness	0.0539416
polemic	0.0538524
sectarianism	0.0536217
intermarriage	0.0535681
fury	0.0533422
isolationism	0.0533358
divergence	0.0533066
wariness	0.0532331
bloodletting	0.0532229
dissent	0.0528995
discouragement	0.0527813
brouhaha	0.052661
nationalism	0.0526015
unhappiness	0.0525838
disparity	0.052416
restlessness	0.0523585
speculation	0.052283
conundrum	0.0517745
vendetta	0.0516595
wrangling	0.0515153
alienation	0.0515127
"price pressure"	0.0515084
quarrel	0.0514389
emotion	0.0514315
chasm	0.0514204
injustice	0.0513417
disaffection	0.0512336
aversion	0.0512328
"tax liability"	0.0512291
anguish	0.0511376
grievance	0.0511088
imbalance	0.0509662
snobbery	0.0509656
aggravation	0.0509615
disgust	0.0509269
stalemate	0.0509136
ire	0.0506897
"price war"	0.0500609
stereotype	0.0500134
oppression	0.0499668
rapprochement	0.049957
face-off	0.0499434
backlash	0.0497356
panic	0.0496904
volatility	0.0495789
sensitivity	0.0491807
hardship	0.0489991
sadness	0.0488501
separation	0.0488314
autocracy	0.0486962
thaw	0.0486277
"Great Divide"	0.0484507
discrimination	0.0483685
nastiness	0.0481991
negativity	0.0481722
"balance of power"	0.0481175
complacency	0.0480271
fervor	0.0479912
"arms race"	0.0479073
activism	0.0475068
loyalty	0.0474904
suspense	0.0473171
cohabitation	0.0472591
isolation	0.0472141
"name calling"	0.04712
enthusiasm	0.0470262
furor	0.047005
in-fighting	0.0469677
separatism	0.046963
grief	0.0468749
reluctance	0.0467397
"trade barrier"	0.0466122
persecution	0.0466055
inferiority	0.0465897
inconsistency	0.0464904
helplessness	0.0463027
"dividing line"	0.0462224
distaste	0.0461839
hesitancy	0.0459867
humiliation	0.0458276
impulse	0.0457904
revulsion	0.045764
trepidation	0.045609
loneliness	0.0455703
smooch	0.0455643
"public debate"	0.0455376
extremism	0.0454752
jitters	0.0453735
goodwill	0.0453683
"storm cloud"	0.0453631
betrayal	0.0451766
ruckus	0.0451594
"proxy fight"	0.0450211
disrespect	0.0449671
"good will"	0.0449513
disappointment	0.0448968
tiredness	0.0448749
give-and-take	0.04482
))
(antagonist (desc 7714.17) (sims
adversary	0.105699
foe	0.0889389
detractor	0.0710849
"supporting players"	0.0693738
paramour	0.0677098
accuser	0.0663327
nemesis	0.0657338
enemy	0.0635509
tormentor	0.0629854
"partner in crime"	0.0601846
backer	0.0597507
avocation	0.0596031
"soul mate"	0.0591797
underling	0.0577445
blocker	0.0576114
protagonist	0.0575658
operative	0.056691
vaulter	0.0565734
inhibitor	0.0565251
"leading lady"	0.0549985
arch-rival	0.0540333
speechwriter	0.0533518
vote-getters	0.0532502
brawler	0.0530732
confidant	0.0529644
"No. @s"	0.0528959
collaborator	0.0526265
stalwart	0.052373
"flash point"	0.0523221
bugaboo	0.0523156
belligerents	0.052014
combatant	0.0516483
rebounders	0.0510945
"power broker"	0.0504824
battleground	0.050407
scriptwriter	0.0499661
playmakers	0.0498621
highflier	0.0496107
secularist	0.0485421
chum	0.0479614
confidante	0.0476184
closers	0.0472788
benefactor	0.0471493
shipmate	0.0470927
immortal	0.0467148
"fault line"	0.0466475
"defense team"	0.0464755
bargainer	0.0463186
troubleshooter	0.0462073
"law partner"	0.045931
schoolmate	0.0458104
"sparring partner"	0.0457066
acquirer	0.0455377
villain	0.0454496
sleuth	0.0448678
"best friend"	0.0447985
aspirant	0.0446099
"decision maker"	0.0445836
axiom	0.0445098
"foot soldier"	0.0444582
comrade	0.0441183
appointee	0.0440111
strategist	0.0440008
"Paul Begala"	0.0435502
battler	0.0434135
protector	0.0433751
"New York Democrats"	0.0433494
Koreas	0.0431003
"pen pal"	0.0430535
machination	0.0429144
"newspaper editor"	0.0428732
mentor	0.0428244
flashpoints	0.0427548
ideologue	0.0425172
scheduler	0.0425014
stakeholder	0.0424992
laggard	0.0423374
Lieutenant	0.0422708
informant	0.0421337
surrogate	0.0420851
playmate	0.0420759
funders	0.0420306
Litigator	0.0420236
proponent	0.041961
crony	0.0418804
"role player"	0.0417772
conundrum	0.0416031
"heir apparent"	0.0413442
patron	0.0413035
instigator	0.0412265
nonentity	0.0412117
optimist	0.0411826
"Willie Brown"	0.0409725
campaigner	0.040741
"cast of characters"	0.0407358
"major leaguer"	0.0405957
tacklers	0.0405661
aggressor	0.0404375
narrator	0.0404132
archenemy	0.0402893
dissenter	0.0402603
major-leaguers	0.0402564
interlocutor	0.0402156
guidepost	0.0400793
superpower	0.0400279
))
(Antalya (desc 2350.73) (sims
Izmir	0.235462
Aqaba	0.182978
Phuket	0.182661
Diyarbakir	0.177898
Izmit	0.169981
Eilat	0.160633
Larnaca	0.160281
Ensenada	0.159949
Bamiyan	0.159059
Cebu	0.157243
Adana	0.156245
Pattaya	0.152035
Cochabamba	0.141178
Bursa	0.1411
Beersheba	0.140435
Murmansk	0.136815
Beidaihe	0.136114
el-Sheikh	0.134755
Sochi	0.134691
Ceyhan	0.133638
Nago	0.132809
Isfahan	0.132273
Cartagena	0.130595
Aswan	0.129768
"CHIANG MAI"	0.12962
"Chiang Rai"	0.127908
"Victoria Falls"	0.127693
Malaga	0.127239
Bushehr	0.123962
Najaf	0.123919
"Surat Thani"	0.123895
Catania	0.123629
Huambo	0.12234
Davao	0.122273
"San Pedro Sula"	0.122007
Herat	0.120147
Baalbek	0.119794
Bulawayo	0.118705
Kandy	0.117594
Trincomalee	0.117545
Cabinda	0.116213
Rafah	0.115663
Sidon	0.115398
Cardiff	0.112319
Zamboanga	0.112063
Ashkelon	0.112019
CANCUN	0.11159
Chennai	0.111383
Kisumu	0.110444
Basra	0.110394
BLANTYRE	0.110148
Jeddah	0.109904
Taba	0.109424
Istanbul	0.109422
Juba	0.108582
Weifang	0.108344
Blackpool	0.107732
Taloqan	0.10773
Guayaquil	0.107522
Krasnoyarsk	0.107022
Beira	0.106963
Dushanbe	0.106568
Entebbe	0.106391
Acapulco	0.105522
Sanya	0.105252
Peshawar	0.103131
"Siem Reap"	0.102723
Cotabato	0.102328
Baoding	0.102129
Luxor	0.101799
Durres	0.10138
Yogyakarta	0.10121
Tete	0.100346
Datong	0.0998353
Moncton	0.0998298
Sirte	0.0994504
Durban	0.0983446
Fenerbahce	0.0978729
Besiktas	0.0978456
Rawalpindi	0.0975638
Christchurch	0.0973587
Gdansk	0.0973511
Wildwood	0.097008
Matadi	0.0968715
Ndola	0.0966261
Chengde	0.0952312
Kizlyar	0.0949183
Vojvodina	0.0948492
Mombasa	0.0945864
Davos	0.0944208
Medan	0.0944167
Shiraz	0.0942852
Yichang	0.0942467
Lumbini	0.0941618
Salzburg	0.0936965
"Iranian capital"	0.0936862
Jinja	0.0932164
Chamonix	0.093212
Leskovac	0.0928121
Merida	0.092439
MAPUTO	0.0921821
Sihanoukville	0.0916127
Shashi	0.0913645
Veracruz	0.0912188
Kuito	0.091172
Jalalabad	0.0910061
Baotou	0.0907761
"Puerto Vallarta"	0.0905517
Mashhad	0.0902511
Tapachula	0.0901553
"Banja Luka"	0.0898789
Dubrovnik	0.089531
"Montego Bay"	0.0894292
Linz	0.089322
Bangalore	0.0892927
Benguela	0.0892513
Alexandria	0.0889508
Zhangjiajie	0.0889187
Saida	0.0886429
Almaty	0.0884958
Mosul	0.0884738
Changzhou	0.0883057
Kandahar	0.0882944
Qinhuangdao	0.0882563
Sapporo	0.0880081
"Malaysian capital"	0.0876965
Hyderabad	0.087585
Ghent	0.0873695
Posoltega	0.0870793
Bengkulu	0.0870538
Haifa	0.0868731
Aden	0.0867311
Fukuoka	0.0865844
Quanzhou	0.0864231
Plata	0.0861371
Batticaloa	0.0861054
Turin	0.0859337
Zhangzhou	0.0857098
"Port Harcourt"	0.0856739
Khabarovsk	0.0855511
Kismayu	0.0854377
Cavalese	0.0854285
Midrand	0.0850398
Wuxi	0.0847172
Lianyungang	0.0845186
Langkawi	0.0844894
Manado	0.0843043
Asuncion	0.0842398
Xuzhou	0.084239
Utrecht	0.0841176
Odessa	0.0840653
Haicheng	0.0838675
BRIGHTON	0.0838245
"Santo Domingo"	0.0837827
Avignon	0.0835618
Multan	0.0833886
Vladikavkaz	0.083328
"Port Elizabeth"	0.0832744
Anshan	0.0831501
Warri	0.0829494
BASEL	0.0821367
Oro	0.0819152
Pusan	0.0817254
"San Salvador"	0.0817248
Urosevac	0.0815463
Quetta	0.0813469
Algiers	0.0811027
Khost	0.0810841
Ur	0.0810453
Salonika	0.0809931
Huangshan	0.0808056
Guadalajara	0.0807974
Nagoya	0.0807265
Inchon	0.080608
Lille	0.0804812
Bilbao	0.0801071
Novosibirsk	0.0800908
Limassol	0.0800194
Salonica	0.0798331
Marjayoun	0.0795162
Zhangjiagang	0.0794265
Windhoek	0.0793481
Auckland	0.0791377
Gudermes	0.0790581
Bergen	0.0786734
Guilin	0.0786385
Yantai	0.0785063
Casas	0.0784903
Mankulam	0.078476
"Key West"	0.078389
Xian	0.0783064
Liege	0.0782932
Weimar	0.0782247
Vientiane	0.0780927
Jericho	0.0779625
Mullaitivu	0.0777661
"Egyptian capital"	0.0775445
Tunceli	0.0775288
Tangshan	0.077491
Goteborg	0.0773984
))
(Antara (desc 1857.02) (sims
WAM	0.420349
Tanjug	0.418893
Petra	0.385354
Bernama	0.375919
Ansa	0.371702
Lusa	0.365716
Notimex	0.361727
RSS	0.359038
MTI	0.354778
BS	0.353902
Tass	0.344295
"Agence France Presse"	0.34004
Jana	0.332184
IRNA	0.331069
Angop	0.328722
"Saudi Press Agency"	0.320551
"Kyodo News"	0.320404
"Indonesian Observer"	0.313593
MENA	0.308041
"Kyodo News Service"	0.305871
Kyodo	0.304518
KPL	0.302577
"Straits Times"	0.299259
"Business Times"	0.298481
"Egyptian Middle East News Agency"	0.29114
"New Nigerian"	0.274469
"Kuwait News Agency"	0.269647
"Ghana News Agency"	0.266023
Noticias	0.264525
"Egyptian Gazette"	0.263943
ATA	0.262182
"Thai News Agency"	0.262015
"Dow Jones Newswires"	0.253821
"Daily Times"	0.253131
"Philippine News Agency"	0.249445
"Kathmandu Post"	0.248936
"Moscow Times"	0.248614
SAPA	0.246263
"Antara News Agency"	0.245161
"News Agency of Nigeria"	0.24254
"Korean Central News Agency"	0.241431
"New Vision"	0.240659
"Jakarta Post"	0.237484
"Associated Press of Pakistan"	0.237194
AFP	0.236827
Anatolia	0.235957
"Australian Associated Press"	0.234876
"Ethiopian News Agency"	0.233791
"Agence France-Presse"	0.232789
"Iraqi News Agency"	0.227803
"Southern African Broadcasting Association"	0.226211
"Rwanda News Agency"	0.223835
"Radio Uganda"	0.223009
Haaretz	0.222775
"Business Day"	0.221953
"Tehran Times"	0.220328
"Zambia News Agency"	0.220261
"Gulf News"	0.218932
"Press Trust of India"	0.218016
"South China Morning Post"	0.21711
"East African Standard"	0.216366
TT	0.214468
"Israel Radio"	0.213613
"Khaleej Times"	0.211357
KUNA	0.21106
INA	0.210727
Sana	0.207424
"British Broadcasting Corporation"	0.205032
PTI	0.203183
"Vietnam News"	0.203037
Sowetan	0.200741
"Daily Star"	0.200241
"New Light"	0.199834
"Kenya Times"	0.19949
Itar-Tass	0.199163
"Daily Nation"	0.19855
"Turkish Daily News"	0.196976
"Jordan Times"	0.196111
"Middle East News Agency"	0.196046
"Business Weekly"	0.195864
"United Press International"	0.195022
"Islamic Republic News Agency"	0.194965
"press agency"	0.193716
"China Daily"	0.192382
"Zimbabwe News Agency"	0.191788
Reuters	0.1916
Interfax	0.19078
"Bangkok Post"	0.189579
al-Hayat	0.188161
"Jerusalem Post"	0.188112
APA	0.187692
"National Association of Realtors"	0.186286
"Le Monde"	0.183889
"Ethiopian Herald"	0.183352
"The New Vision"	0.182988
"Cyprus News Agency"	0.182585
"South African Press Association"	0.179561
"Anatolia News Agency"	0.171652
"Macao Daily News"	0.171396
"New Straits Times"	0.16894
APP	0.168334
"Post Express"	0.165532
"Athens News Agency"	0.164154
"China Daily Business Weekly"	0.162544
"Alam Al Yom"	0.16241
"Der Spiegel"	0.16105
Kommersant	0.160425
"U.S. Labor Department"	0.16019
"Sydney Morning Herald"	0.158685
PAP	0.158279
beta	0.157283
"The Monitor"	0.15575
"Press Trust"	0.155632
"Financial Mail"	0.15451
"Washington Times"	0.152117
"Beijing Daily"	0.15177
Maariv	0.151008
"Nihon Keizai Shimbun"	0.150243
"Zambia Daily Mail"	0.149717
"El Mundo"	0.149234
"El Pais"	0.149016
"Iran News"	0.143862
"Xinhua News Agency"	0.143825
"Nihon Keizai"	0.143273
Reforma	0.143021
"East African"	0.142013
"Daily Telegraph"	0.141294
NHK	0.141225
"Vietnam News Agency"	0.140841
Hurriyet	0.137595
"Daily News"	0.137444
Asahi	0.136218
"Al Hayat"	0.13547
"China Youth Daily"	0.134455
Ruehe	0.134031
"Bloomberg News"	0.133408
"Financial Times"	0.132904
"Asahi Shimbun"	0.132715
"Wenhui Daily"	0.132628
ABS-CBN	0.130931
dem	0.130623
"Al Ahram"	0.130188
"Jerusalem Media and Communication Center"	0.130162
"Daily Mail"	0.129113
"Statistics Canada"	0.128792
Politika	0.126947
Xinhua	0.125996
NTV	0.125962
Malaya	0.124376
"news service"	0.119952
"Beijing Youth Daily"	0.119936
"Information Center"	0.119234
RNA	0.118857
"Yomiuri Shimbun"	0.118408
Granma	0.115579
CNA	0.115187
"Seattle Times"	0.115014
sms/gm	0.114127
CTV	0.113756
"Detroit News"	0.113703
Aventajado	0.113031
Harmoko	0.11255
"Guangming Daily"	0.111813
"Koha Ditore"	0.111435
"Le Figaro"	0.111183
Post-Intelligencer	0.110697
BBC	0.109203
gazette	0.109064
"Los Angeles Times"	0.107218
"Miami Herald"	0.107079
"U.S. Commerce Department"	0.106934
Yastrzhembsky	0.106561
Yomiuri	0.106554
"Washington Post"	0.105338
Manley	0.104209
"Wall Street Journal"	0.103845
"USA TODAY"	0.103834
"Economic Daily"	0.103778
"Boston Herald"	0.102198
Al-Ahram	0.102071
Spiegel	0.101753
Sha	0.101726
TC	0.100812
"Conference Board"	0.100572
"Australian Bureau of Statistics"	0.0999781
L'Equipe	0.0996728
Okada	0.0983528
Malu	0.098232
ad/adc	0.0975934
Singson	0.0975744
Eurostat	0.0960391
Salam	0.0951864
"Detroit Free Press"	0.0941897
Inquirer	0.0938503
ad/ls	0.0927392
"Bureau of Labor Statistics"	0.0917153
Dominion	0.0915009
"Dallas Morning News"	0.0910397
"New York Post"	0.0907582
ISTAT	0.0905544
))
("Antara News Agency" (desc 4171.94) (sims
"Egyptian Middle East News Agency"	0.26483
"Thai News Agency"	0.254252
Antara	0.245161
"Kyodo News"	0.243888
"Indonesian Observer"	0.242697
"Ethiopian News Agency"	0.236454
"Rwanda News Agency"	0.232035
Lusa	0.226205
"Jakarta Post"	0.222447
"Saudi Press Agency"	0.222343
"Zimbabwe News Agency"	0.221296
"Australian Associated Press"	0.221282
"Business Times"	0.215976
"Ghana News Agency"	0.209867
"Anatolia News Agency"	0.207381
"Gulf News"	0.207003
"Turkish Daily News"	0.205655
"Kyodo News Service"	0.2056
"Press Trust of India"	0.199016
"Dow Jones Newswires"	0.19786
"Cyprus News Agency"	0.196831
"Korean Central News Agency"	0.195098
Notimex	0.193947
"Khaleej Times"	0.193173
"Islamic Republic News Agency"	0.191534
"Straits Times"	0.190676
"Iraqi News Agency"	0.189952
"Egyptian Gazette"	0.189215
"Kuwait News Agency"	0.187388
"Kathmandu Post"	0.18503
"Philippine News Agency"	0.18495
"Associated Press of Pakistan"	0.184896
"Zambia News Agency"	0.183583
"Radio Uganda"	0.183574
"China Daily Business Weekly"	0.183115
"Agence France Presse"	0.181638
"Southern African Broadcasting Association"	0.180693
"Vietnam News Agency"	0.179858
Angop	0.179766
Noticias	0.17936
Tass	0.178778
"Moscow Times"	0.177876
"Jordan Times"	0.176209
"South African Press Association"	0.175268
PTI	0.174849
"Jerusalem Post"	0.173606
"New Vision"	0.173242
SAPA	0.171761
Ansa	0.171535
"Israel Radio"	0.16918
Kyodo	0.16895
"Macao Daily News"	0.167545
"Bangkok Post"	0.167005
"Vietnam News"	0.166159
"Tehran Times"	0.16613
"South China Morning Post"	0.164237
IRNA	0.163212
"Agence France-Presse"	0.161968
"Alam Al Yom"	0.159689
"Al Hayat"	0.159586
"State Seismological Bureau"	0.1591
Tanjug	0.158803
"East African Standard"	0.158505
MENA	0.157501
"Daily Times"	0.15552
Sowetan	0.155269
"Daily Star"	0.154977
al-Hayat	0.154463
Haaretz	0.151434
"Athens News Agency"	0.149755
Bernama	0.149431
"News Agency of Nigeria"	0.14915
"Jerusalem Media and Communication Center"	0.148638
"Iran News"	0.14833
"Business Day"	0.148264
KPL	0.145934
"Kenya Times"	0.14544
"Business Weekly"	0.142308
"Ethiopian Herald"	0.141826
"British Broadcasting Corporation"	0.14093
"Press Trust"	0.139511
MTI	0.138929
"U.S. Labor Department"	0.137406
"Middle East News Agency"	0.135871
"Daily Nation"	0.135585
AFP	0.135543
BS	0.135284
"Post Express"	0.134872
"Zambia Daily Mail"	0.134859
Kommersant	0.128259
"The New Vision"	0.127032
Petra	0.126622
Itar-Tass	0.126292
"Le Monde"	0.125772
"Financial Mail"	0.124547
"news agency"	0.119971
"Wenhui Daily"	0.119622
Anatolia	0.119237
"National Association of Realtors"	0.118742
"Kosovo Information Center"	0.118326
Interfax	0.117988
"New Nigerian"	0.116664
"Sydney Morning Herald"	0.116652
"New Light"	0.116153
ATA	0.112993
Maariv	0.112309
"East African"	0.111299
WAM	0.110427
"New Straits Times"	0.108509
Al-Ahram	0.108358
"Statistics Canada"	0.107084
"United Press International"	0.106943
INA	0.10693
"press agency"	0.106875
"Detroit News"	0.104977
"Beijing Daily"	0.104552
"The Monitor"	0.104535
Reuters	0.103404
"International Business Daily"	0.102916
Reforma	0.10219
"China Daily"	0.102088
KUNA	0.101712
"China Youth Daily"	0.101518
TT	0.0996851
"Daily News"	0.0987879
"Bloomberg News"	0.0986638
"El Pais"	0.0976135
Malaya	0.097512
"Daily Mail"	0.0968901
"Al Ahram"	0.0954503
BBC	0.0952497
RSS	0.0950924
"Nihon Keizai Shimbun"	0.0949467
Hurriyet	0.0943716
"Daily Telegraph"	0.0938477
"British Broadcasting Corp."	0.0935327
"Xinhua News Agency"	0.0919444
NTV	0.0909719
APP	0.0908696
"Washington Times"	0.088862
"Asahi Shimbun"	0.0885424
"Detroit Free Press"	0.0882767
"Der Spiegel"	0.0882712
"Miami Herald"	0.0875396
"Seattle Times"	0.0872678
"El Mundo"	0.0864751
"Le Figaro"	0.0860373
"Washington Post"	0.0848369
"Financial Times"	0.0847365
"Nihon Keizai"	0.0834318
TC	0.082732
"Conference Board"	0.081866
"Information Center"	0.0816786
APA	0.0806935
"Yomiuri Shimbun"	0.0802189
CNA	0.0792372
Salam	0.0788393
NHK	0.0786289
"Guangming Daily"	0.0779987
"Los Angeles Times"	0.0779853
L'Equipe	0.0777722
RNA	0.0756218
"Australian Bureau of Statistics"	0.0747661
Jana	0.0747585
"USA TODAY"	0.0746813
Asahi	0.0744624
"Associated Press"	0.0740843
"U.S. Commerce Department"	0.0724272
"Denver Post"	0.071368
"Koha Ditore"	0.0713327
Eurostat	0.0706233
"Boston Herald"	0.0697904
"local time"	0.0696695
"Wall Street Journal"	0.0696173
"news service"	0.0692598
Dominion	0.06893
Yomiuri	0.0687035
Guardian	0.0679565
ABS-CBN	0.0670355
Inquirer	0.0663921
"Philadelphia Inquirer"	0.0661571
"Beijing Youth Daily"	0.0654942
Xinhua	0.0629628
"Hartford Courant"	0.0627285
"State Statistics Bureau"	0.0627129
Ruehe	0.0623095
"Labor Department"	0.0619418
KPU	0.0614043
CTV	0.0613986
Granma	0.0613272
"New York Daily News"	0.0609465
Harmoko	0.0606946
Politika	0.0605507
"Economic Daily"	0.0600758
Aventajado	0.0598851
"Chicago Tribune"	0.0594537
PAP	0.0585899
"New York Post"	0.0585257
"San Francisco Chronicle"	0.0581603
"National Post"	0.0581258
))
(Antarctic (desc 4062.22) (sims
Antarctica	0.175645
Arctic	0.113924
"Southern Ocean"	0.091561
Siberia	0.0900569
"South Pole"	0.0898233
"North Pole"	0.0890578
Greenland	0.0649492
"Arctic Ocean"	0.0627818
Himalayas	0.0578288
"Mojave Desert"	0.0553297
"South Pacific"	0.053288
"Pearl River Delta"	0.0528492
"Yellowstone National Park"	0.0528241
"South China Sea"	0.0523528
"East China Sea"	0.0519365
millisecond	0.0511489
"Pacific Ocean"	0.0503939
"Bohai Bay"	0.0500606
"South America"	0.0492786
hippocampus	0.0487175
Tootsie	0.0486513
"ball of fire"	0.0468818
gully	0.0468628
Sahara	0.0465974
"Underground Railroad"	0.0465122
"NL Rookie"	0.0463805
"Taklimakan Desert"	0.0459911
"coral reef"	0.0456659
"finishing line"	0.0455469
"Winning Colors"	0.0454849
tropic	0.044928
"Yangtze River Valley"	0.0448213
"Tarim Basin"	0.0439576
"Central Asia"	0.0436462
"World Junior Championships"	0.0430088
"North Atlantic"	0.0427424
make-believe	0.0419701
"Florida Straits"	0.0419442
Saigon	0.0418908
"Lake Victoria"	0.0418561
"College World Series"	0.0418301
"deposit box"	0.0414627
"Far East"	0.0413999
"Mediterranean Sea"	0.0410612
"South Atlantic"	0.0410484
stratosphere	0.0407692
meteorite	0.0406778
"Suez Canal"	0.0405262
Dumpster	0.040504
"Stanley Cup Finals"	0.040264
"Arctic Circle"	0.0401246
"Demilitarized Zone"	0.0400803
))
(Antarctica (desc 11897.6) (sims
Antarctic	0.175645
Greenland	0.131772
"North Pole"	0.123696
Arctic	0.121618
"South Pole"	0.104061
"South America"	0.0873594
Iceland	0.0865939
Newfoundland	0.0850087
Mars	0.0847047
Alaska	0.0826035
"North America"	0.0776033
Siberia	0.0751428
Himalayas	0.0726017
Hawaii	0.0698746
"Arctic Ocean"	0.0691964
Scandinavia	0.0675591
"New World"	0.0665908
Bermuda	0.0655152
Honolulu	0.0640706
Bahrain	0.0636822
Caribbean	0.0627701
"Southern Ocean"	0.0619428
"North Atlantic"	0.0613598
"Far East"	0.0610018
"Mojave Desert"	0.0606611
"Red Planet"	0.0599853
Sicily	0.0597875
"South Pacific"	0.0596316
"Persian Gulf"	0.0584403
"Cape Town"	0.0578168
"Southeast Asia"	0.0572359
"Nova Scotia"	0.0568341
"West Africa"	0.0563665
Bahamas	0.0558798
WARSAW	0.0557782
Tibet	0.0554355
Namibia	0.0553375
Vail	0.0552415
"Pacific Ocean"	0.0550175
"Middle East"	0.0547061
Honduras	0.0545607
Ireland	0.0543779
"Grand Canyon"	0.0538121
"Costa Rica"	0.0537173
pacific	0.053575
Brunei	0.0529172
Madagascar	0.052845
"Puerto Rico"	0.0526973
Norway	0.0525917
Peru	0.052548
"Southern California"	0.0525419
"New Zealand"	0.0522867
"Arctic Circle"	0.0514625
"Great Britain"	0.0514406
"Latin America"	0.0509106
"Papua New Guinea"	0.0508033
"Yellowstone National Park"	0.0506262
Naples	0.0503146
Morocco	0.0502235
"Western Europe"	0.0501672
"Saudi Arabia"	0.0501618
CANCUN	0.0501551
Sahara	0.0500117
Switzerland	0.0499963
Jamaica	0.0499471
Korea	0.0497333
Havana	0.0495734
"United Kingdom"	0.0493487
Afghanistan	0.0493127
PNG	0.0492383
Andes	0.0492373
"Key West"	0.0491915
"British Isles"	0.0490313
"Holy Land"	0.0489607
"South Florida"	0.0488666
Guam	0.0488461
"East Africa"	0.0486886
Scotland	0.0485444
Haiti	0.0484617
Guatemala	0.0484323
"Central America"	0.0482301
Tucson	0.0481057
Minneapolis	0.0480673
"Gulf of Mexico"	0.0480323
Okinawa	0.0479455
"Central Asia"	0.0478193
"Yucatan Peninsula"	0.04749
"New Orleans"	0.0472631
"Salt Lake City"	0.0472106
Mediterranean	0.0470948
"St. Petersburg"	0.0468228
"Eastern Europe"	0.0466675
Colombia	0.0466471
"Scandinavian country"	0.0466098
Albuquerque	0.0464513
Harrisburg	0.0463445
Tahiti	0.0459054
planet	0.0457791
Nassau	0.0457659
"Bohai Bay"	0.0456596
Oman	0.0456209
Tampa	0.0455212
"Sri Lanka"	0.0455125
"West Palm Beach"	0.0454808
Nantucket	0.0454642
"Viet Nam"	0.0454385
Chile	0.0454328
Columbus	0.0453454
"Des Moines"	0.0449988
Nicaragua	0.0449582
"North Korea"	0.0446604
Bethlehem	0.0445679
"Northern California"	0.0445472
Libya	0.0445278
"North Africa"	0.0444206
Moon	0.0443307
Barbados	0.044303
"Cape Cod"	0.0442576
"Disney World"	0.0442152
infirmary	0.044203
"Near East"	0.0441379
"South China Sea"	0.0441273
"Mount Everest"	0.044074
ocean	0.0439649
Galveston	0.0439527
Fiji	0.0438177
Eurasia	0.0437288
glacier	0.0437067
Oceania	0.0436062
Nairobi	0.0434542
"Little Rock"	0.0432103
"Dead Sea"	0.043175
Istanbul	0.0431111
Dublin	0.0431093
Chiapas	0.042993
Savannah	0.0429575
Nevada	0.0429474
Mir	0.042924
"Fort Lauderdale"	0.0428566
"Black Sea"	0.0427469
Charleston	0.0425478
"Guatemala City"	0.0425223
anchorage	0.0425007
"United Arab Emirates"	0.0424762
Somalia	0.0423035
Senegal	0.0422888
Algeria	0.0422721
"Bay Area"	0.0421953
"Dominican Republic"	0.0421619
CARACAS	0.0421442
Alps	0.0421164
Normandy	0.0420696
Kandahar	0.0420133
Maine	0.0419399
"Demilitarized Zone"	0.0419307
"Tel Aviv"	0.0418647
Vancouver	0.0418541
"New Guinea"	0.041851
Lahore	0.0416895
Strasbourg	0.0416889
Alexandria	0.0416542
Acapulco	0.0416025
Yosemite	0.0415591
L.A	0.041555
Wyoming	0.0415036
Berlin	0.0414897
"El Salvador"	0.0414681
Bolivia	0.0414407
Venice	0.0413938
Portugal	0.0413917
Dayton	0.0413566
Greensboro	0.041285
Venezuela	0.0412152
Riyadh	0.0412024
Finland	0.041197
"Soviet Union"	0.0411955
"Swiss Alps"	0.0411605
Omaha	0.0411534
locale	0.0411449
Rochester	0.0410662
"British Columbia"	0.0410371
Cooperstown	0.0410029
Geneva	0.0409208
DUBAI	0.0407961
Panama	0.0407661
Juneau	0.0404604
Asmara	0.0404554
Halifax	0.0403484
Appalachia	0.0403471
Madrid	0.0403416
Wilmington	0.0403354
Belfast	0.040208
"Florida Keys"	0.0401568
"northern hemisphere"	0.0401371
"New Delhi"	0.0400977
TUNIS	0.0400624
"Palm Beach"	0.0400336
Tuzla	0.0400302
"Ho Chi Minh City"	0.0400134
))
("Antawn Jamison" (desc 2771.71) (sims
"Paul Pierce"	0.220983
"Raef LaFrentz"	0.200772
"Jason Williams"	0.186866
"Larry Hughes"	0.185236
"Mike Bibby"	0.185233
"Shareef Abdur-Rahim"	0.180442
"Maurice Taylor"	0.17278
"Danny Fortson"	0.172594
"Matt Harpring"	0.16598
"Brian Skinner"	0.159615
"Robert Traylor"	0.159489
"Donyell Marshall"	0.159465
"Chris Mills"	0.154681
"Vince Carter"	0.151404
"Tracy McGrady"	0.150501
"Grant Hill"	0.149986
"Kenyon Martin"	0.147431
"Kevin Garnett"	0.147417
"Chris Webber"	0.147116
"Juwan Howard"	0.144218
"Keith Van Horn"	0.137451
"Kris Clack"	0.137006
"Michael Dickerson"	0.136701
"Sam Clancy"	0.131925
"Stephon Marbury"	0.131646
"Shawn Marion"	0.13056
"Richard Hamilton"	0.129487
"Antoine Walker"	0.129477
"Ron Artest"	0.128957
"Elton Brand"	0.128952
"Dirk Nowitzki"	0.127471
"Michael Olowokandi"	0.125457
"Clifford Robinson"	0.125029
"Tom Gugliotta"	0.124864
"Jarvis Turner"	0.123162
"Bonzi Wells"	0.122353
"Grant Long"	0.121967
"Alan Henderson"	0.121719
"Tamika Catchings"	0.121653
"Ray Allen"	0.121466
"Shammond Williams"	0.120804
"Wally Szczerbiak"	0.118553
"Allen Iverson"	0.117947
"Austin Croshere"	0.115826
"Derrick Coleman"	0.114158
"Lamar Odom"	0.114045
"Andre Miller"	0.113005
"Jumaine Jones"	0.112909
"Terry Cummings"	0.111954
"Rasheed Wallace"	0.111066
"Glenn Robinson"	0.110051
"Joe Smith"	0.109853
"Pat Garrity"	0.109743
"Vin Baker"	0.109737
"Jamie Feick"	0.10834
"Tim Duncan"	0.108223
"Kevin Willis"	0.107791
"Ron Mercer"	0.107251
"Mark Madsen"	0.106515
"Kenny Anderson"	0.106234
"Nick Anderson"	0.104768
"Lamond Murray"	0.104214
"Chris Porter"	0.104178
"Tyrone Nesby"	0.103552
"Bill Guerin"	0.102815
"DeLisha Milton"	0.101721
"Morris Peterson"	0.101576
"Hu Weidong"	0.100649
"Billy Owens"	0.100227
"Terrell Brandon"	0.0996898
"Mike Miller"	0.0983334
"Samaki Walker"	0.0983154
"Chamique Holdsclaw"	0.0982269
McGrady	0.0981122
"Dale Davis"	0.0979686
"Pavol Demitra"	0.0978363
"Gabe Muoneke"	0.097099
"Pat Burrell"	0.0969169
"Hao Haidong"	0.0966236
"Shawn Kemp"	0.0961126
"Doug Christie"	0.0960256
"Brian Scalabrine"	0.095559
Nowitzki	0.0954978
"Marcus Fizer"	0.0953579
"Otis Thorpe"	0.0952687
"Ante Razov"	0.0948119
"Eric Snow"	0.0944543
"Theo Ratliff"	0.0941302
"Patrik Stefan"	0.0940404
"Kobe Bryant"	0.0937344
"Cliff Ronning"	0.09373
"Alen Boksic"	0.0936818
"Ruben Patterson"	0.0932903
"Danny Manning"	0.0930773
"Michael Wright"	0.0925272
"Kenny Thomas"	0.0925232
"Antonio McDyess"	0.0921161
"Travis Knight"	0.0919876
"Michael Finley"	0.0908572
"J.R Reid"	0.0908086
"Kurt Thomas"	0.090522
"Toni Kukoc"	0.0901846
"Charles Oakley"	0.0900276
"Kevin Freeman"	0.0898284
"Cedric Ceballos"	0.0897857
"Rick Fox"	0.0893973
"Othella Harrington"	0.0889294
"Antonio Davis"	0.0887481
"Richard Jefferson"	0.0885676
"Mark Jackson"	0.0884222
"Alexei Kovalev"	0.0883449
"Jalen Rose"	0.0882453
"Sun Wen"	0.0880146
"Brad Miller"	0.0877525
"Gary Payton"	0.0872482
"Tony Battie"	0.0867238
Olowokandi	0.0863562
"Raul Diaz Arce"	0.0859997
"Mia Hamm"	0.0859438
"Robert Horry"	0.0859392
"Ziggy Palffy"	0.0858548
"Stern John"	0.0858451
"Tim Hardaway"	0.0855602
"Chris Gatling"	0.0853931
"Latrell Sprewell"	0.0853512
"Devean George"	0.0853218
"Jamal Mashburn"	0.0851315
Gugliotta	0.0849991
"Adrian Griffin"	0.0845722
"Leon Smith"	0.0845096
"Rodney Rogers"	0.0841263
"Thomas Jones"	0.0837131
"Jelani McCoy"	0.0837029
"Miroslav Satan"	0.083274
"Clarence Weatherspoon"	0.0826594
"Gary Trent"	0.0825333
"Bobby Phills"	0.0824108
"Brian Grant"	0.0820234
"Steve Francis"	0.0818936
Bibby	0.0818185
"P.J Brown"	0.0810365
"Corliss Williamson"	0.0809305
"Chris Drury"	0.080929
"John Wallace"	0.0809271
"Theo Fleury"	0.0809177
"Rashard Lewis"	0.0807995
"Jeff Friesen"	0.0807317
"Jason Kidd"	0.0806723
"Glen Rice"	0.0801025
"Curtis Enis"	0.0800532
"Sheryl Swoopes"	0.0797502
"Paul Kariya"	0.0794346
"Jerome Moiso"	0.0790548
"Sean Elliott"	0.0789146
"Karl Malone"	0.0788782
"Rick Tocchet"	0.078833
"Jayson Williams"	0.0786964
"Sean Farnham"	0.0783123
"Alonzo Mourning"	0.0781575
"Darrick Martin"	0.078156
"Brian McBride"	0.0780145
"David Robinson"	0.0780097
"A.C. Green"	0.0779694
"Pierre Turgeon"	0.0779602
"Tina Thompson"	0.0777804
"Jaren Jackson"	0.0777666
"Milan Hejduk"	0.0774267
Odom	0.0773118
"Shandon Anderson"	0.0773028
"Tim Thomas"	0.0772357
"Blake Sloan"	0.0771166
"Cuttino Mobley"	0.0766154
Bly	0.0761581
"Rebecca Lobo"	0.0759259
"Christian Laettner"	0.0759143
Garnett	0.0758628
"Oliver Bierhoff"	0.0756604
"Steve Smith"	0.0756365
"Peter Forsberg"	0.0756167
"JaRon Rush"	0.0753545
"Matt Bullard"	0.0753523
"Eric Piatkowski"	0.0751104
"John LeClair"	0.0750648
"Christophe Dugarry"	0.0749241
"Etan Thomas"	0.0746603
"Roy Lassiter"	0.0743844
"Jason Kapono"	0.0742866
"Shannon MacMillan"	0.0742362
"John Starks"	0.0738685
"Tony Amonte"	0.073852
"Joe Thornton"	0.0735788
"Charles Barkley"	0.0735355
"Chris Carrawell"	0.0733199
"Andre Wadsworth"	0.073315
"Shane Battier"	0.0732927
Holdsclaw	0.0730793
"Walt Williams"	0.0730447
"Trung Canidate"	0.0728483
"Van Horn"	0.0728137
Gatling	0.072558
))
(ante (desc 7234.97) (sims
"borrowing cost"	0.0498743
"key rate"	0.0498398
"upper hand"	0.0487776
"bank rate"	0.0462752
"asking price"	0.0460087
"bus fare"	0.0435068
"entrance fee"	0.0423327
"point man"	0.0416198
payout	0.0415251
))
("Ante Razov" (desc 1410.44) (sims
"Brian McBride"	0.21335
"Stern John"	0.212873
"Roy Lassiter"	0.211458
"Clint Mathis"	0.183349
"Predrag Mijatovic"	0.178762
"Ben Olsen"	0.176008
"Sun Wen"	0.175739
"Raul Diaz Arce"	0.171039
"Hao Haidong"	0.168164
"Luis Hernandez"	0.166322
"Zach Thornton"	0.165566
"Gabe Muoneke"	0.160868
"Eric Wynalda"	0.160594
"Miroslav Satan"	0.160105
"Carlos Hermosillo"	0.1599
"Sam Clancy"	0.158313
"Cindy Parlow"	0.152066
"Pavol Demitra"	0.151414
"Ziggy Palffy"	0.150869
"Cobi Jones"	0.150779
"Bill Guerin"	0.149331
"Faustino Asprilla"	0.146233
"Alexei Kovalev"	0.145852
"Harry Kewell"	0.144468
"Geoff Sanderson"	0.141439
"Ali Daei"	0.141354
"Raul Gonzalez"	0.141012
"Owen Nolan"	0.14068
"Adrian Ilie"	0.137711
"Claudio Lopez"	0.137522
"Chris Porter"	0.13671
"Glenn Robinson"	0.135961
"Alen Boksic"	0.135798
"Lamond Murray"	0.135289
Welton	0.135168
"Tiffeny Milbrett"	0.1343
"Morris Peterson"	0.134149
"Tony Amonte"	0.131134
"Tore Andre Flo"	0.129967
"Thierry Henry"	0.129669
"Kevin Freeman"	0.129219
"Grant Long"	0.129165
"Brian Scalabrine"	0.129081
"Jarvis Turner"	0.127591
"Hu Weidong"	0.127057
"Shane Doan"	0.126681
"Chris Crawford"	0.126237
"Corliss Williamson"	0.125523
"Kris Clack"	0.125234
"Joe-Max Moore"	0.123779
"Cliff Ronning"	0.123441
"Kenyon Martin"	0.123268
"Davor Suker"	0.123159
"Brian Laudrup"	0.123137
"Paolo Di Canio"	0.122763
"Hernan Crespo"	0.122322
"Jason Allison"	0.122287
"Gabriel Batistuta"	0.121633
"Jeff Friesen"	0.121239
"Cedric Ceballos"	0.120384
"Maurice Taylor"	0.120025
"Michael Wright"	0.119783
"Khodadad Azizi"	0.119746
"Alan Henderson"	0.119617
"Mark Madsen"	0.11764
"Christian Vieri"	0.116691
"Christophe Dugarry"	0.115941
"Shannon MacMillan"	0.115876
"Chris Gatling"	0.11553
"Ian Wright"	0.115432
"Tamika Catchings"	0.114201
"Raef LaFrentz"	0.114139
"Richard Jefferson"	0.113363
Suker	0.113005
"Chris Drury"	0.110897
"Marcus Fizer"	0.110304
"Chris Carrawell"	0.109727
"Clarence Weatherspoon"	0.109528
"Oliver Bierhoff"	0.109224
"Wendel Clark"	0.109084
"Doug Gilmour"	0.109027
"Rasheed Wallace"	0.108663
"Olli Jokinen"	0.108452
"Rodney Rogers"	0.108224
"Teddy Sheringham"	0.10661
"Shawn Kemp"	0.106264
Reichel	0.106117
"Shawn Marion"	0.105661
"Pat Verbeek"	0.105529
"Richard Hamilton"	0.105401
"Keith Van Horn"	0.104918
"Youri Djorkaeff"	0.104854
"Donyell Marshall"	0.103539
"Kenny Thomas"	0.103392
"Jamal Mashburn"	0.103155
"Theo Fleury"	0.103022
"Shane Battier"	0.102928
"Theo Ratliff"	0.102481
"Bryon Russell"	0.10236
"Michael Finley"	0.102263
"Dejan Stankovic"	0.1022
"Keith Tkachuk"	0.102131
"Walt Williams"	0.101789
"Brian Grant"	0.101441
"Milan Hejduk"	0.101394
"Jeremy Roenick"	0.101321
"Joe Juneau"	0.101154
"Darren McCarty"	0.101086
"Nwankwo Kanu"	0.100858
"Othella Harrington"	0.100834
"Rick Tocchet"	0.0998026
"Alexander Mogilny"	0.0997892
"Juergen Klinsmann"	0.0994058
"Tyrone Nesby"	0.0990748
"Dave Andreychuk"	0.098902
"Joe Sakic"	0.0988462
"Jaromir Jagr"	0.0987039
"Peter Forsberg"	0.0985401
"John LeClair"	0.0984486
"Derrick Coleman"	0.098429
Stumpel	0.097796
"Marcelo Salas"	0.0977102
"Alan Shearer"	0.0976757
"Patrik Elias"	0.0975572
"Patrick Kluivert"	0.0974566
"Jerome Moiso"	0.0970706
"Brian Rolston"	0.0970356
"Ivan Zamorano"	0.0970335
"Greg Adams"	0.0970057
"Wally Szczerbiak"	0.0966234
"Doug Weight"	0.0963121
"Sean Farnham"	0.0962008
"Stan Collymore"	0.0960127
"Austin Croshere"	0.0959706
"Tim Thomas"	0.0950925
"Steve Thomas"	0.0949672
"Antawn Jamison"	0.0948119
"Mia Hamm"	0.0942631
"Dejan Savicevic"	0.0942382
"Sheryl Swoopes"	0.0942343
"Fabrizio Ravanelli"	0.0940984
"Teemu Selanne"	0.0939643
"Jason Kapono"	0.0938447
"Mike Miller"	0.0938327
"David Trezeguet"	0.0927437
Preki	0.0924484
"Chris Mills"	0.0923398
"Dixon Ward"	0.0918859
"Blake Sloan"	0.0917973
"DeLisha Milton"	0.0916572
"Pavel Bure"	0.0916458
"Tab Ramos"	0.0913667
"Jumaine Jones"	0.0910808
"Dennis Bergkamp"	0.0904921
"Todd Harvey"	0.0903693
"Clifford Robinson"	0.090153
"SCOTT BURRELL"	0.0899891
"Juwan Howard"	0.0898918
Romario	0.0893825
"Shareef Abdur-Rahim"	0.0890079
"P.J Brown"	0.0889812
"Mike Sullivan"	0.088554
"Gianfranco Zola"	0.0882915
"Detlef Schrempf"	0.0882136
"Gary Trent"	0.0877217
"Anthony Mason"	0.0877145
"Jalen Rose"	0.0876311
"Brendan Shanahan"	0.0874214
LeClair	0.0870645
"Chris Anstey"	0.0869386
"Alessandro Del Piero"	0.0866903
"Marco Etcheverry"	0.086683
"Claudio Reyna"	0.0866439
Sissi	0.0865453
"Jorge Campos"	0.0865114
"Dale Davis"	0.0864693
"Danny Fortson"	0.0862886
"Luc Robitaille"	0.0860856
"Tony Massenburg"	0.086032
"Travis Knight"	0.0859657
"Kendall Gill"	0.0857551
"Hristo Stoichkov"	0.0856904
"Sergei Fedorov"	0.0854929
"Dwight Yorke"	0.0853489
Vieri	0.0852307
"P.J Axelsson"	0.0850797
"Robbie Fowler"	0.0849805
"Enrico Chiesa"	0.0848861
"Frankie Hejduk"	0.084803
"Pierre Turgeon"	0.084747
"Samaki Walker"	0.0847419
"Gary Roberts"	0.0847238
"Rico Hines"	0.0845904
"Wang Tao"	0.0845364
"Matthew Barnaby"	0.0843661
"Danny Manning"	0.0842555
"Horace Grant"	0.0842178
"Ted Donato"	0.0841522
"Ariel Ortega"	0.0838463
"Jennifer Gillom"	0.083728
))
(antecedent (desc 3120.68) (sims
forebear	0.0766603
accoutrement	0.069442
lineage	0.0609162
distinctiveness	0.0582679
progenitor	0.0510023
bloodline	0.0507504
pluses	0.0502671
descendent	0.0499013
ancestry	0.0497977
contemporaries	0.0475334
agglomeration	0.0472205
resonance	0.0467588
idiosyncrasy	0.0465648
finds	0.0463624
Incarnation	0.0462311
provenance	0.0459407
cabinetmaker	0.0459322
slickness	0.0457201
"inferiority complex"	0.0452528
commonality	0.0451109
continuum	0.0448731
proverb	0.0446746
downsides	0.0444443
oomph	0.0444127
fullness	0.0441484
Masterworks	0.0436762
"practical application"	0.0436748
archetype	0.0435338
"trade route"	0.0433482
"written language"	0.0425474
Romanticism	0.0420461
specialities	0.0415657
"business line"	0.0414059
brevity	0.0412541
kinship	0.0411108
iconography	0.0407886
"ownership stake"	0.0407524
anticlimax	0.0406976
peculiarity	0.0406809
smooch	0.0405777
"line drawing"	0.0405302
))
(antelope (desc 8023.17) (sims
deer	0.205034
yak	0.186739
elk	0.184476
gazelle	0.175148
"snow leopard"	0.169737
rhinoceros	0.168902
leopard	0.168766
rhino	0.167708
"red deer"	0.158143
bison	0.153411
elephant	0.149213
zebra	0.136081
giraffe	0.132969
"giant panda"	0.132203
"black bear"	0.130031
sheep	0.126802
goat	0.126072
moose	0.122723
"rare bird"	0.121445
orangutan	0.119963
"water buffalo"	0.117824
"wild boar"	0.114264
camel	0.113788
"wild horse"	0.111523
monkey	0.111392
ostrich	0.110309
"sea turtle"	0.110212
crocodile	0.109786
wildlife	0.109149
boar	0.109029
ibis	0.10881
"right whale"	0.107749
chimpanzee	0.106814
cheetah	0.105931
hippo	0.105263
"bighorn sheep"	0.103788
egret	0.103187
donkey	0.102084
pheasant	0.102017
waterfowl	0.101394
animal	0.100814
owl	0.100706
"grizzly bear"	0.0998832
"golden eagle"	0.0987074
otter	0.0983517
tiger	0.0981232
kangaroo	0.0980232
turtle	0.0971233
panda	0.0969912
hyena	0.0953188
rabbit	0.0952401
reindeer	0.0942516
"Bengal tiger"	0.0928112
mammal	0.0914099
"brown bear"	0.0909968
alligator	0.090893
pig	0.0907647
ox	0.0905161
Buffaloes	0.0902306
"mountain gorilla"	0.0890941
alpaca	0.0890146
oxen	0.0883452
bird	0.0878006
wolf	0.0877343
Gibbon	0.0872642
Primate	0.0866203
sturgeon	0.0865734
"coho salmon"	0.0864908
cow	0.0858979
caribou	0.0852235
manatee	0.084888
peacock	0.0842391
squirrel	0.0840009
cattle	0.0831927
whale	0.0824818
llama	0.0823258
gorilla	0.0820541
geese	0.0813438
lion	0.0812033
lynx	0.079227
"gray whale"	0.0782224
swan	0.0777957
raccoon	0.0777577
porcupine	0.0776894
specie	0.0767069
"African elephant"	0.0756932
herdsman	0.0753283
mink	0.0752407
sparrow	0.0744166
seabird	0.0721873
songbird	0.07215
Crane	0.0721159
"mountain lion"	0.0720029
reptile	0.0717025
"gray wolf"	0.0709126
fawn	0.070408
"monarch butterfly"	0.0702374
"sea bird"	0.0702281
lizard	0.0697859
toad	0.0696277
baboon	0.0695399
Pelican	0.0694799
snake	0.0688634
lemur	0.0688346
abalone	0.0687663
salamander	0.0683338
parrot	0.0680367
Grouse	0.0675853
amphibian	0.0669015
"sea otter"	0.0663819
Pony	0.0661688
"bald eagle"	0.0661312
"tropical rain forest"	0.065876
hummingbird	0.0656115
python	0.0655345
porpoise	0.0654272
ape	0.0652415
coho	0.0651742
venison	0.0650199
stork	0.0643808
"humpback whale"	0.0642809
Livestock	0.0637915
mastodon	0.0636321
fauna	0.063433
"prairie dog"	0.0630346
"bluefin tuna"	0.0625533
heron	0.0620745
unicorn	0.0617156
vertebrate	0.0612172
"beef cattle"	0.0610839
warbler	0.0609708
CAT	0.0603263
quail	0.0602852
"intellectual property rights"	0.0599895
mice	0.0593568
cormorant	0.059356
mollusk	0.0585038
"sea horse"	0.0584962
centenarian	0.0580277
"milk cow"	0.0579532
chimp	0.0579478
"sea lion"	0.0578074
swine	0.057494
Dinosaur	0.057454
frog	0.0567285
rattlesnake	0.056353
Buffalo	0.0562243
koala	0.0561062
rooster	0.0559432
coyote	0.0558414
salmon	0.055595
Condor	0.0554651
muskrat	0.0551343
iguana	0.0549275
woodpecker	0.0543613
"polar bear"	0.0542514
hamster	0.0541976
tortoise	0.0540042
bio-diversity	0.0538702
skunk	0.0536111
dolphin	0.0527743
calf	0.0525356
hog	0.0523854
flora	0.0522527
pigeon	0.0518577
"Santa Clarita"	0.0518559
"farm animal"	0.0518029
parakeet	0.0517192
rodent	0.0507243
hominid	0.0502949
Bighorn	0.0501605
fowl	0.0498813
sloth	0.0497275
fossil	0.0497144
beaver	0.0496251
spider	0.049185
orchid	0.0486784
eagle	0.0484844
insect	0.0484357
hedgehog	0.0479498
Dalmatian	0.0478505
butterfly	0.0472055
wetlands	0.0470466
mule	0.0470108
crow	0.0468295
cougar	0.0463118
gull	0.0462133
albatross	0.0457554
chipmunk	0.0456117
subspecies	0.0455999
"peregrine falcon"	0.0455956
"elephant population"	0.0455722
warthog	0.0453821
panther	0.0453442
rat	0.0449886
"domestic animal"	0.0449011
shark	0.0446848
kingfisher	0.0445799
trout	0.044505
"Mogao Grottoes"	0.0444919
))
("Antelope Valley" (desc 1287.36) (sims
"Thousand Oaks"	0.094964
"Walnut Creek"	0.087098
"San Rafael"	0.0857533
"East Orange"	0.0837816
"Westlake Village"	0.0829401
Sunnyvale	0.0826197
"Los Angeles County"	0.0820375
Englewood	0.0765467
Chatham	0.0765243
Morristown	0.0761592
Americus	0.0753335
frontlines	0.0750685
Okinawan	0.0750308
Encino	0.0745787
Hopkinton	0.0741947
Pacoima	0.0735385
"Woodland Hills"	0.0728183
"Research Triangle Park"	0.0719595
southland	0.0714778
"Sunshine State"	0.0713744
"North Hollywood"	0.0705235
"Simi Valley"	0.0696345
"Grand Canyon National Park"	0.0695144
"South Bend"	0.0694439
"Delray Beach"	0.0694338
"Jefferson City"	0.0693324
"Fort Lee"	0.0684341
"Sun City"	0.0682327
"Virgin Islands"	0.068218
"Miami Valley"	0.0681852
"Paradise Valley"	0.0681387
Falmouth	0.0675206
kc	0.0672888
"Santa Clarita"	0.06727
"Greater Boston"	0.0671149
"Newport Beach"	0.0670946
"Granada Hills"	0.0666015
Duluth	0.0664321
"Mojave Desert"	0.0654345
Bensonhurst	0.0652574
"Pitt County"	0.0649637
"Happy Valley"	0.0648943
"Saratoga Springs"	0.0647638
Bloomington	0.0647055
"Flagler County"	0.0643883
Brentwood	0.0641603
Calabasas	0.0640799
"Jefferson County"	0.0640143
Reseda	0.0638949
Nacogdoches	0.0634639
Westport	0.0631734
"Great Neck"	0.0631404
"Chapel Hill"	0.0626608
"Van Nuys"	0.0623319
"South Bay"	0.0622767
Reston	0.0616691
"San Fernando Valley"	0.0615458
"inner city"	0.061542
"Bay State"	0.0615006
"La Jolla"	0.0614956
"Borough Park"	0.0614951
Boise	0.0611994
"nine miles"	0.0611502
"El Segundo"	0.0609364
"Northern California"	0.0608967
Marlborough	0.0608333
"about @@@ km"	0.0603454
"about six miles"	0.0601005
Leawood	0.0600768
Spokane	0.0600292
"Orthodox Jewish"	0.0598618
Wellesley	0.0598019
"Rocky Mount"	0.0597666
Plano	0.0596108
Sausalito	0.0596019
"Central Texas"	0.0593337
Alpharetta	0.0591374
"Round Rock"	0.0590999
"Virginia Beach"	0.0590807
Petaluma	0.0590425
"Warren County"	0.058924
"Twin Cities"	0.0586705
Gloucester	0.0582447
Chappaqua	0.0582063
"Vero Beach"	0.0580587
"Palm Beach Gardens"	0.0578691
"Hyde Park"	0.0578393
midland	0.0577821
Fremont	0.0577362
"Turkish Cypriot"	0.0577319
"Fort Worth-Dallas"	0.057709
Wallingford	0.0575016
"Sussex County"	0.0574998
"about @@ km"	0.0574716
Stamford	0.0574711
Wheaton	0.0574312
non-Indian	0.0573561
"Ventura County"	0.0573103
Dunwoody	0.0572093
Worcester	0.0571896
Holyoke	0.0569057
"West Palm Beach"	0.0568932
"Cobb County"	0.056753
Braintree	0.0566171
"Rockland County"	0.0566022
"Mission Viejo"	0.0565559
riverside	0.0564895
"West Los Angeles"	0.056371
Akron	0.0562772
Bellevue	0.0560879
"Silver Spring"	0.0560869
"East Bay"	0.0560419
returners	0.055706
"San Angelo"	0.0555991
"Hollywood Hills"	0.0555373
Dubuque	0.0551283
Rockdale	0.0549626
"Williamson County"	0.0548684
LAKEWOOD	0.0546617
Carrollton	0.0545419
Chatsworth	0.0544579
Tarzana	0.0542768
"Miami-Dade County"	0.0540742
Quincy	0.0539861
Palmdale	0.0539786
Riverdale	0.0538363
"Bergen County"	0.0535527
"Little Havana"	0.0533581
Lansing	0.0533366
foothill	0.053332
IU	0.0532051
"San Fernando"	0.0531563
"East Lake"	0.053137
"Stone Mountain"	0.0531187
Rockville	0.053105
"Madison County"	0.0530377
Kingston	0.0529619
Redding	0.0529265
"Boynton Beach"	0.0527706
"Redwood City"	0.0527687
"more than @@@ kilometers"	0.0522775
"North Texas"	0.0522526
Carlsbad	0.052187
Flushing	0.0521441
Catskills	0.0518242
"New Canaan"	0.0517962
"Marin County"	0.0516987
Dele	0.0513513
"St. Albans"	0.0512674
"Bel Air"	0.0512269
"Westchester County"	0.0510706
Beaumont	0.0509101
"Fayette County"	0.050862
Yonkers	0.0503014
"Sherman Oaks"	0.0500637
Utica	0.0499113
Alameda	0.049862
ranching	0.0498428
"Fort Lauderdale"	0.0498025
"about @,@@@ kilometers"	0.0497928
"Missouri River"	0.0496613
"Studio City"	0.0495418
Hattiesburg	0.0495353
"Daytona Beach"	0.0494692
"Manhattan Beach"	0.0494532
"Mill Valley"	0.0493877
"East Asian"	0.0493639
"a few kilometers"	0.04931
"Palm Beach County"	0.0492996
Needham	0.0492725
Olathe	0.0492637
"New Rochelle"	0.049135
"Brighton Beach"	0.0491077
Carthage	0.0490189
"Pacific Palisades"	0.0488853
Lawrenceville	0.0488634
"East Los Angeles"	0.0487363
Glendale	0.0487185
"Huntington Beach"	0.0485634
"San Pedro"	0.0485138
"Charles de Gaulle"	0.0484137
Flagstaff	0.0483352
"Overland Park"	0.0480863
"South Georgia"	0.0480368
"Palm Springs"	0.0480058
"Cherry Hill"	0.0479733
Gainesville	0.0477094
Somerville	0.0476866
kibbutz	0.0476795
Wichita	0.0475962
Andover	0.0474954
"about @ miles"	0.0473894
"Silicon Alley"	0.0473627
"Fort Myers"	0.0473363
"Grand Junction"	0.0472433
"Santa Monica"	0.0472411
"Union City"	0.0472015
Brookline	0.0471944
"New Haven"	0.0469798
Najaf	0.046923
))
(antenna (desc 23476.8) (sims
transmitter	0.15056
sensor	0.128891
"solar panel"	0.11082
device	0.102707
Satellite	0.100743
microphone	0.0980715
modem	0.0977161
radar	0.0945959
telescope	0.0944584
camera	0.0934858
adapter	0.0921783
transponder	0.0913322
antennae	0.0911326
handset	0.0900425
decoder	0.0877391
battery	0.0860204
electrode	0.085109
scanner	0.0839447
module	0.0828775
wire	0.0828712
connector	0.0818892
equipment	0.0818488
monitor	0.0812106
amplifier	0.080506
cable	0.0800883
Tower	0.0798996
generator	0.0795335
"phone line"	0.0784541
recorder	0.0775665
"laptop computer"	0.0768865
Projector	0.0763314
Computer	0.0761106
software	0.0757459
detector	0.0753693
circuitry	0.0748994
mast	0.0748783
hardware	0.0747406
"electronic device"	0.0746019
"relay stations"	0.0743502
"television set"	0.0742667
headphone	0.0739741
screen	0.0726655
"disk drive"	0.072393
sonar	0.0722251
processor	0.0720053
valve	0.071954
gadget	0.0707161
instrument	0.0706446
gear	0.0702604
"communication system"	0.0696399
"phone system"	0.0694759
machine	0.0690728
"cellular phone"	0.0688901
laser	0.0684934
"tv set"	0.0682584
tuner	0.0682224
dish	0.0681842
phone	0.0681608
Crane	0.0681277
station	0.067993
keypad	0.0678904
thruster	0.0677395
tether	0.0675986
pump	0.0673825
pagers	0.0672729
earpiece	0.0671907
switch	0.0671112
"telephone line"	0.0670019
server	0.0668921
spacecraft	0.0668535
Robot	0.0668025
chip	0.0668002
transmission	0.0665826
pipe	0.0665782
wireless	0.0660088
"personal computer"	0.0658948
headset	0.0656991
"X-ray machine"	0.0653212
loudspeaker	0.0652938
"circuit board"	0.065232
router	0.0651535
"radio telescope"	0.0650858
printer	0.0650644
keyboard	0.0649391
PC	0.064838
Ethernet	0.0647369
"satellite receiver"	0.0644372
flashlight	0.0643408
wiring	0.0643134
VCR	0.0641998
motor	0.0641868
"power line"	0.0636795
semiconductor	0.0634049
scaffolding	0.0629971
dial	0.0629722
microprocessor	0.0629421
transistor	0.0628049
mirror	0.0625375
laptop	0.0625255
motherboard	0.0620904
"cellular telephone"	0.0619389
"air bag"	0.0614971
pager	0.0613973
"control system"	0.06136
switchboard	0.061245
"radio transmitter"	0.060885
blade	0.0606099
stylus	0.0604461
beepers	0.0602608
"catalytic converter"	0.0599668
parachute	0.0598304
microchip	0.0596747
component	0.0595306
"transmission line"	0.0593959
appliance	0.0593433
box	0.0593021
"telephone network"	0.0592597
jacks	0.0592389
propeller	0.059184
shutter	0.0590963
pad	0.0589057
filter	0.0589009
rudder	0.0586909
"alarm system"	0.0585526
scaffold	0.0584723
"propulsion system"	0.0583404
receiver	0.0582923
engine	0.0582086
thermometer	0.0581805
transformer	0.0579239
"hand-held computer"	0.0576212
"desktop computer"	0.0573618
altimeter	0.0573205
tube	0.0572714
"video screen"	0.0571579
radio	0.0571168
"fax machine"	0.0570049
"telephone wire"	0.0568199
tire	0.0567057
wheel	0.0566351
meter	0.0565244
lamp	0.0563564
tank	0.0563193
thermostat	0.0560954
"communications equipment"	0.0560769
microwave	0.056002
"hearing aid"	0.0559721
conditioner	0.0558704
"integrated circuit"	0.0558661
"sound system"	0.0557672
kit	0.0557147
node	0.0554039
frame	0.0553873
ADSL	0.0553648
"computer program"	0.0553001
stereo	0.0552832
"communications network"	0.0549987
workstation	0.0549423
DSL	0.0548131
"laser printer"	0.0545748
launcher	0.054432
terminal	0.0543986
"stereo system"	0.054335
"tape recorder"	0.0543275
elevator	0.0541436
communication	0.0540351
"heating system"	0.0539878
controller	0.0538389
interceptor	0.0538353
"telephone service"	0.0537853
clock	0.0536855
"phone service"	0.0536853
telephone	0.0535784
button	0.0535086
"hard disk"	0.0534573
"electric motor"	0.0533636
"manufacturing business"	0.0532919
"sliding door"	0.053165
"optical fiber"	0.0531379
hookup	0.0530532
beam	0.0530084
"fuel cell"	0.0528952
"spy satellite"	0.0526866
hose	0.0525571
apparatus	0.0525328
"fiber optic cable"	0.0524991
beacon	0.0524897
converter	0.0521577
"fire wall"	0.0519612
card	0.05196
timer	0.0518352
lever	0.0518069
chimney	0.0516858
implant	0.0516787
"water tank"	0.0515274
electronics	0.05142
capability	0.0513868
mouse	0.0513508
tile	0.0513321
"computer network"	0.0512605
))
(antennae (desc 4650.19) (sims
remotes	0.10448
antenna	0.0911326
"relay stations"	0.0814973
beak	0.068398
"little finger"	0.0641511
clicker	0.0639323
transponder	0.0638198
"hockey stick"	0.0611873
"two fingers"	0.0606189
tuner	0.0593669
"communications equipment"	0.0567287
"communication system"	0.0563002
hackle	0.0547994
"broadcasting company"	0.0546301
sensor	0.0544266
decoder	0.0541701
"index finger"	0.0531619
tentacle	0.0529151
detector	0.0527983
"two hands"	0.0525842
"radio telescope"	0.0518838
"telephone bill"	0.0518247
altimeter	0.0518204
kinescope	0.0516008
snout	0.0512824
propeller	0.0500423
"extension cord"	0.0491708
"solar panel"	0.0489998
"sense of smell"	0.048517
"surveillance system"	0.0479087
newscaster	0.0478253
paw	0.0470138
transmitter	0.0466531
hang-up	0.0464662
"sounding board"	0.0460041
"fishing line"	0.0458124
weatherman	0.0455568
"guardian angel"	0.0453589
prong	0.0448434
paintbrush	0.0445607
headphone	0.0444877
"bulletproof vest"	0.0444102
whisker	0.0443955
larvae	0.044224
"safety valve"	0.0441951
wingspan	0.0439647
megaphone	0.0438618
scriptwriter	0.0437626
"steel plate"	0.0436872
lifeboat	0.043667
"tape measure"	0.0431211
"mind's eye"	0.0431031
"satellite receiver"	0.042833
eyelash	0.0427099
Zipper	0.0425719
webcams	0.0423911
"fire wall"	0.0422337
"sense of direction"	0.0421551
electrode	0.0419496
spine	0.0419186
molar	0.0417767
"line of work"	0.0417363
Thong	0.0416005
mammogram	0.0414491
denture	0.0414415
playlist	0.0413511
eyelid	0.0413058
"phone system"	0.0412713
mitzvah	0.0412478
"nose ring"	0.0411508
pulley	0.0409123
"catalytic converter"	0.0408157
"shoulder pad"	0.0407856
nozzle	0.0407533
linkup	0.0405397
braid	0.0401772
))
(anthem (desc 19938.5) (sims
"national anthem"	0.168224
"Star-Spangled Banner"	0.11457
Song	0.110623
hymn	0.09855
"Amazing Grace"	0.0923695
ballad	0.09184
tune	0.0872567
"theme song"	0.0860712
"folk song"	0.078464
music	0.0725286
ditty	0.0719342
melody	0.0699777
"Happy Birthday"	0.0681954
emblem	0.0662374
Lullaby	0.0661568
dirge	0.0660804
chant	0.0658612
lyric	0.062322
rendition	0.0612765
icon	0.0611101
slogan	0.0608589
oldies	0.0588285
album	0.0588093
jingle	0.0583713
opera	0.0581639
Aria	0.0575614
symbol	0.0567966
poem	0.0559465
theme	0.0553885
oratorio	0.0548722
"rock band"	0.0547166
"Christmas carol"	0.0544034
flag	0.0540242
"national flag"	0.0536196
classic	0.0532326
duet	0.0532152
"musical score"	0.0529764
psalm	0.0529687
Recording	0.0528342
soundtrack	0.0521471
Carol	0.0520583
chorus	0.0498884
sermon	0.0486282
musical	0.0485825
symphony	0.0475301
mantra	0.0472729
epic	0.0470037
rhythm	0.0463987
skit	0.0458398
concert	0.0454547
Rhapsody	0.0452024
gospel	0.0450886
musician	0.0449853
concerto	0.0448624
verse	0.0444603
refrain	0.0442995
Dixie	0.0442795
ballet	0.0441645
"dance music"	0.0437504
proverb	0.043484
mascot	0.0429284
recital	0.0428246
Requiem	0.0427121
phrase	0.0426697
singer	0.0425988
vocals	0.0424245
sonata	0.042401
"role model"	0.0423878
Ode	0.0422597
sendoff	0.042246
tale	0.0420727
"pop music"	0.0419026
waltz	0.0417661
quartet	0.0417437
prayer	0.0415708
Porgy	0.041553
comedy	0.0415344
motto	0.0414813
composer	0.0413261
salute	0.0412443
soliloquy	0.0411786
poetry	0.0410054
taps	0.0409437
"folk music"	0.0408241
banner	0.040824
songwriter	0.0406409
))
(Anthology (desc 12285.7) (sims
compilation	0.135888
collection	0.106104
Encyclopedia	0.101934
Compendium	0.0918181
dictionary	0.0875137
"new edition"	0.0851531
cookbook	0.0806337
manuscript	0.0799371
memoir	0.0798451
booklet	0.0784853
edition	0.0784186
"short story"	0.0767405
translation	0.0765306
autobiography	0.0763797
album	0.0763791
biography	0.0755926
reissue	0.0755185
essay	0.0741851
Recording	0.0740572
"reference book"	0.073569
Bibliography	0.0723304
periodical	0.0720139
tome	0.071524
"New York Review"	0.070817
catalog	0.070582
journal	0.0701941
textbook	0.0697728
excerpt	0.0693174
nonfiction	0.0692661
"picture book"	0.0686179
novel	0.0683412
publication	0.0682017
dramatization	0.0679913
trilogy	0.0676609
transcript	0.0666205
handbook	0.0652554
collage	0.0645582
archive	0.0645554
documentary	0.0629285
guidebook	0.061922
"reference work"	0.0617067
novella	0.0616738
"Princess Mononoke"	0.0615925
poem	0.0613126
pamphlet	0.0610103
monograph	0.060869
poetry	0.0608369
text	0.0597569
quarterly	0.059532
catalogue	0.0592846
Revue	0.0589792
fiction	0.0588576
newsletter	0.0585854
CD	0.0584906
recital	0.0574939
paperback	0.0574786
yearbook	0.057055
summary	0.0570429
adaptation	0.0567727
"magazine article"	0.0566328
dossier	0.0561942
diary	0.056153
parody	0.055822
ream	0.0555142
literature	0.0552125
masterpiece	0.0549583
snippet	0.0539521
almanac	0.0532393
manifesto	0.0531648
"best seller"	0.0527558
"Gallup Poll"	0.0521909
"official document"	0.0519078
"chicken soup"	0.0516834
"feature film"	0.0516368
genre	0.0514272
verse	0.0514082
epic	0.0513241
bestseller	0.0511822
"comic book"	0.0510416
"prayer book"	0.0510041
"New Republic"	0.0509232
oratorio	0.0506476
SAMPLER	0.050546
elegy	0.0502961
"limited edition"	0.0502808
pastiche	0.050152
"literary work"	0.0499125
recitation	0.0495683
Atlas	0.0495452
sequel	0.0494875
CD-ROM	0.0491315
retrospectives	0.0487591
oldies	0.0483937
gazette	0.0483321
spoof	0.0482699
Bible	0.0481433
sheaf	0.0478134
narrative	0.0477771
travelogue	0.0477214
writing	0.0476682
remix	0.0475601
"Washington Times"	0.0475213
manual	0.0473859
"New England Journal"	0.0473764
POTPOURRI	0.0471635
database	0.0471451
encyclical	0.04694
sendup	0.0468471
sequence	0.0468327
sketch	0.0467998
"New York Times Magazine"	0.0467742
soundtrack	0.0467717
transcription	0.0466614
"Revised Version"	0.0466173
masterwork	0.0462793
"variety show"	0.0462044
"compact disk"	0.0459162
ballet	0.045902
remake	0.0457158
tableau	0.0456775
annals	0.0452768
cassette	0.0452361
directory	0.0451609
audiotape	0.0451497
subgenre	0.0449907
footage	0.0447561
disc	0.0446413
thriller	0.0444468
cartoon	0.0443936
canon	0.0443518
editing	0.0443178
scrapbook	0.0442778
"New Style"	0.0439919
drawing	0.0439883
"cassette tape"	0.0438065
"Harry Potter"	0.0437086
script	0.0435478
"Austin American-Statesman"	0.0434503
trove	0.0434065
"musical comedy"	0.0433178
libretto	0.0432685
"International Herald Tribune"	0.0432546
"motion picture"	0.043162
puzzle	0.0430334
thesis	0.0429078
calligraphy	0.0429031
discography	0.042814
"Part @"	0.0427235
"newspaper column"	0.0426917
"New York Observer"	0.0426886
interpretation	0.0426387
"time capsule"	0.0426385
treatise	0.042431
indie	0.0423865
"TV program"	0.042367
IMAX	0.0423408
revival	0.0422857
reportage	0.0422361
glossary	0.0419857
"New Straits Times"	0.0418592
brochure	0.0415722
hourlong	0.0415557
renaissance	0.0415383
"TV movie"	0.041439
"world premiere"	0.0412766
assemblage	0.0412329
"historical document"	0.0411948
parable	0.0410734
"Atlantic Monthly"	0.0410678
Triptych	0.0410298
"tape recording"	0.0409836
retrospective	0.0409214
"legal document"	0.0409127
"art exhibition"	0.0407075
"white paper"	0.0406646
opus	0.040512
"vanity fair"	0.0404686
prose	0.0400843
"documentary film"	0.0400691
"work of art"	0.040067
))
(Anthony (desc 13031) (sims
Brian	0.122628
Matthew	0.119896
Carl	0.113559
Michael	0.111784
Richard	0.109637
Alan	0.108025
Steven	0.10686
Robert	0.105213
Patrick	0.104589
Paul	0.103862
William	0.102968
David	0.102662
Christopher	0.102384
matt	0.101967
Peter	0.101146
Jim	0.0993214
James	0.0986875
John	0.0986266
Tim	0.0981755
Joseph	0.0969603
Jeremy	0.0963751
Jeff	0.0959374
Jimmy	0.0957
Chris	0.0956753
Charles	0.0937635
Andrew	0.0936587
Steve	0.0934418
Arthur	0.0930809
Randy	0.0928671
Joshua	0.0927458
Nicholas	0.0921451
Simon	0.0919402
Kenny	0.0919363
Eric	0.0919331
Phillip	0.0918705
Terry	0.0900095
Greg	0.0890409
Jonathan	0.0888641
Stephen	0.0886121
tom	0.0881417
Thomas	0.0879935
Gerald	0.0877345
Jason	0.0877095
Gregory	0.0872336
Jeffrey	0.0872198
Edward	0.0872133
Daniel	0.0869773
Erik	0.0865019
"Marc Anthony"	0.0863772
Jacob	0.0856987
Gary	0.0856634
Samuel	0.0855642
Alex	0.0853771
Bruce	0.0850753
Manuel	0.0849228
Philip	0.0848489
Eddie	0.0847172
timothy	0.0846596
Evan	0.0839872
Fred	0.0836111
Scott	0.0832494
Larry	0.0824922
Joe	0.0823937
Albert	0.0820808
Donald	0.0820319
Walter	0.0817535
Louis	0.0817195
Jerry	0.0816244
Kevin	0.0815628
Adam	0.0812141
Ronald	0.0810824
Gabriel	0.0805848
Danny	0.0803237
Jamie	0.0801573
Frank	0.0799795
Brent	0.0798703
Keith	0.0797881
Josh	0.0794767
Roger	0.0792416
George	0.0791831
Hugh	0.0790219
Sam	0.0789639
Henry	0.0787942
Kyle	0.0787623
Neil	0.0786498
nick	0.0782927
Harry	0.0782871
Johnny	0.0782776
mike	0.0781987
Travis	0.0779548
Ralph	0.0779136
Dominic	0.0777179
jay	0.077705
Shawn	0.0773875
Justin	0.0773156
Dan	0.0768224
Ian	0.0766618
Craig	0.0763735
Ed	0.0763455
Ken	0.0761958
Barton	0.0761576
Theo	0.0761524
Tony	0.0761333
Doug	0.0760532
Julian	0.0757712
Joel	0.0755974
Aaron	0.0755168
Raymond	0.07549
Billy	0.0752515
Linda	0.0751123
Luke	0.0748639
Alexander	0.0747516
Ben	0.0747333
Bernard	0.0746566
Brett	0.0746179
Jake	0.0745753
Barry	0.0743645
Ramon	0.0743367
Bryan	0.07428
Vladimir	0.0742299
Ted	0.0741819
Reggie	0.0740385
Andrei	0.0739019
jack	0.0738606
Brandon	0.0737925
Dennis	0.0737864
Kenneth	0.0737582
douglas	0.0737372
Marcus	0.0737205
Zachary	0.0736376
"John Jr."	0.0735016
Rick	0.0734259
Bobby	0.0733891
Andy	0.0733079
Jeb	0.0732327
Phil	0.073158
Cody	0.0728029
Andre	0.0726905
Joey	0.0725939
Roberto	0.072272
Karen	0.0720397
Brock	0.0718839
Gerard	0.0717299
Derek	0.0715847
"George W."	0.0709819
Mario	0.0709191
Dave	0.0706556
Forrest	0.0702924
Liam	0.0702319
Harold	0.0699714
Noel	0.069833
Shannon	0.0697569
Benjamin	0.069645
Arnold	0.0696237
Sean	0.0693989
Lloyd	0.0693526
Colin	0.0692745
martin	0.0691882
Isaac	0.0690291
Todd	0.0690185
"Earl Spencer"	0.0688618
Jessica	0.0684751
Maurice	0.0684368
sandy	0.0684325
Shane	0.068396
Rene	0.0683756
Lucas	0.0680943
Abraham	0.0680472
Wayne	0.0677338
dale	0.0676619
Brody	0.0676139
Mason	0.0675743
Brad	0.067521
ANN	0.0674695
Omar	0.0674422
Karl	0.0674004
Jose	0.0672565
Nelson	0.0670418
Michel	0.0668131
franklin	0.0667868
Trevor	0.0666902
Lim	0.0665353
McCartney	0.0664123
Lawrence	0.0662921
Juan	0.0660959
Wyatt	0.0660814
Marvin	0.0660235
Vincent	0.0659557
don	0.0659503
Edmund	0.0659334
Parker	0.0658397
Connor	0.0658162
Marty	0.0657624
BOB	0.0657384
Isaiah	0.0657278
Allen	0.0656447
Charlie	0.0656224
Leon	0.0655466
Pierson	0.0655384
Rifaat	0.0653808
))
("Anthony Hopkins" (desc 6180.27) (sims
"Harrison Ford"	0.134585
"Tom Hanks"	0.131716
"Woody Harrelson"	0.131349
"Nicolas Cage"	0.128699
"Edward Norton"	0.127792
"Michael Douglas"	0.120865
"Jodie Foster"	0.114088
"Kevin Costner"	0.111363
"Julia Roberts"	0.109775
"Chow Yun-Fat"	0.105169
"Pierce Brosnan"	0.104376
"Judi Dench"	0.10415
"Alan Cumming"	0.103417
"Denzel Washington"	0.102353
"Jeremy Irons"	0.10193
"Kim Basinger"	0.101858
"Melanie Griffith"	0.100995
"Jon Voight"	0.0976881
"Hilary Swank"	0.0969264
"Michael Caine"	0.0952183
"Ian McKellen"	0.0950153
"Nathan Lane"	0.0943819
"Geoffrey Rush"	0.0929657
"Kevin Spacey"	0.0926404
"Frances McDormand"	0.0917171
"John Travolta"	0.0899146
"Michelle Pfeiffer"	0.089838
"Sean Connery"	0.0879855
"Liam Neeson"	0.0875949
"Nicole Kidman"	0.0874213
"Leonardo DiCaprio"	0.0870651
"Meryl Streep"	0.0868638
"Tom Cruise"	0.0868411
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"Nick Nolte"	0.0853032
"David Duchovny"	0.084848
"Danny Glover"	0.0846349
"Penelope Cruz"	0.083043
"Roberto Benigni"	0.0822968
"Gwyneth Paltrow"	0.0822041
"Jeff Bridges"	0.0819407
"Cuba Gooding Jr."	0.0813159
"AL PACINO"	0.0808618
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"Cate Blanchett"	0.0800676
"Wesley Snipes"	0.0784569
"Jane Fonda"	0.0783654
"Richard Gere"	0.0782422
"Matthew McConaughey"	0.0780975
"Robert de Niro"	0.0776162
"Morgan Freeman"	0.0773126
"James Van Der Beek"	0.0770868
"Jennifer Aniston"	0.0769114
"Michael Clarke Duncan"	0.0767382
"Matthew Broderick"	0.0765336
"Will Smith"	0.0765306
"Jack Nicholson"	0.0759624
"Ethan Hawke"	0.0758577
"Brenda Blethyn"	0.0757104
"Laurence Olivier"	0.0756822
"Brad Pitt"	0.075256
"Robin Williams"	0.074588
"Rob Lowe"	0.0745141
"Kathleen Turner"	0.0738869
"Jim Carrey"	0.0736614
"Mel Gibson"	0.0734647
"Kate Winslet"	0.072132
"Robert Duvall"	0.0720266
"Dustin Hoffman"	0.0718186
"Susan Sarandon"	0.0711698
"John Gielgud"	0.0711315
"John Cusack"	0.0707754
"Jennifer Love Hewitt"	0.070758
"Albert Brooks"	0.0702918
"Janet McTeer"	0.0694366
"Kathy Bates"	0.0684371
"Sarah Jessica Parker"	0.0684034
"Bette Davis"	0.0681237
"Richard Dreyfuss"	0.0678287
"Bill Murray"	0.0677411
"George Clooney"	0.0675247
"Michael J. Fox"	0.0673317
"Sylvester Stallone"	0.0672915
"Renee Zellweger"	0.0672585
"Geena Davis"	0.0671077
Kidman	0.0671037
"Tommy Lee Jones"	0.0670889
"Adam Sandler"	0.0670684
"Bruce Willis"	0.066725
Dench	0.0660652
"Keanu Reeves"	0.0658385
"Helen Mirren"	0.0657165
"Marlon Brando"	0.0653457
"Martin Sheen"	0.0643003
"Winona Ryder"	0.0641407
"Mike Myers"	0.0639307
"Ally Sheedy"	0.0636549
"Samuel L. Jackson"	0.0634931
"Henry Fonda"	0.0634312
"Kirk Douglas"	0.0633138
"Humphrey Bogart"	0.0631515
"Johnny Depp"	0.0630743
"Glenn Close"	0.0629614
"Emily Watson"	0.0629506
"Jack Lemmon"	0.062222
"John Goodman"	0.0621842
"Warren Beatty"	0.0621735
"Kirsten Dunst"	0.0618464
Sheedy	0.060749
"Arnold Schwarzenegger"	0.0605619
"Antonio Banderas"	0.0604908
"Kevin Bacon"	0.0602166
"Sandra Bullock"	0.0598823
"Jonathan Demme"	0.0597817
Costner	0.0597039
"Andre Braugher"	0.0593056
"Christopher Reeve"	0.058925
"Gene Hackman"	0.0588166
"Rupert Everett"	0.0587627
Braugher	0.0587297
"James Woods"	0.0585193
"Ralph Fiennes"	0.0584119
"Edie Falco"	0.0584104
Cleese	0.0583377
BANDERAS	0.0581488
"Robert DeNiro"	0.0576664
"Billy Bob Thornton"	0.0575603
"Meg Ryan"	0.0575495
"Heather Graham"	0.0571765
"Sigourney Weaver"	0.0571337
"Jimmy Stewart"	0.057031
"Ben Affleck"	0.0569047
"Kelsey Grammer"	0.0567147
"Sarah Michelle Gellar"	0.0566958
"Mark Wahlberg"	0.0566899
"Alfre Woodard"	0.0565622
"Helen Hunt"	0.0564673
"Joseph Fiennes"	0.0559927
"Steve McQueen"	0.0559678
"Ian Holm"	0.0556148
"Vivien Leigh"	0.0554467
"Faye Dunaway"	0.0553288
"Sharon Stone"	0.0549935
"Annette Bening"	0.0548693
"Placido Domingo"	0.0548063
"Burt Reynolds"	0.0548014
"Kevin Kline"	0.0538297
"Freddie Prinze Jr."	0.0537331
Branagh	0.0536613
"Christopher Walken"	0.0534368
"Paul Newman"	0.0533693
"Dylan McDermott"	0.0532492
"Gary Cooper"	0.0531969
"Clint Eastwood"	0.0527727
Hank	0.0525823
"Patrick Stewart"	0.0524692
"Robert Redford"	0.0524
"Jeremy Northam"	0.0523596
"Martin Lawrence"	0.0521393
"Jessica Lange"	0.0518744
"Kenneth Branagh"	0.0518178
"Sela Ward"	0.0518105
"Demi Moore"	0.0517073
Zorro	0.0514203
"Jackie Chan"	0.0511773
"Brendan Fraser"	0.0509385
Matthau	0.0506861
"Ed Harris"	0.0506516
"Brian Dennehy"	0.0505811
"Keri Russell"	0.0505764
Paltrow	0.0504177
"Hugh Grant"	0.0502014
"Richard Burton"	0.0500574
"Catherine Deneuve"	0.0499051
"Bobby Charlton"	0.0498485
"Thandie Newton"	0.0495861
"Gillian Anderson"	0.0494243
"Dennis Franz"	0.0491545
"Audra McDonald"	0.0490126
"Tracey Ullman"	0.0489077
McKellen	0.0487451
"Dame Judi Dench"	0.0487034
"Sean Penn"	0.0486991
Stiller	0.0486792
Danner	0.0486373
"Burt Lancaster"	0.0485749
Grammer	0.0485523
"Anne Heche"	0.0485261
"Luciano Pavarotti"	0.0485093
Gielgud	0.0480328
"Ted Danson"	0.0478673
"Gregory Peck"	0.0478622
"Jamie Foxx"	0.0477751
"Sidney Poitier"	0.0474032
Blanchett	0.0468317
"Norm MacDonald"	0.0467696
"Ben Stiller"	0.0463134
"Miguel Indurain"	0.0462233
"De Niro"	0.0461505
))
("Anthony Johnson" (desc 986.735) (sims
"Chris Crawford"	0.216273
"Mookie Blaylock"	0.216168
"Shammond Williams"	0.19303
"Jim Jackson"	0.166221
"Larry Hughes"	0.158605
"Darrell Armstrong"	0.154675
"Alan Henderson"	0.152384
"Ed Gray"	0.148813
"Dion Glover"	0.138339
"Matt Santangelo"	0.135262
"Brandon Granville"	0.128554
"Jeff Trepagnier"	0.128121
"Michele Timms"	0.125912
"Dale Ellis"	0.125872
"Eric Murdock"	0.122837
"Darrick Martin"	0.122255
"Sherman Douglas"	0.120906
"Doug Christie"	0.120389
"William Avery"	0.120028
"Brevin Knight"	0.117286
"Bonzi Wells"	0.116833
"Randy Brown"	0.116772
"Terry Porter"	0.115938
"Tariq Abdul-Wahad"	0.115188
"Teresa Weatherspoon"	0.114783
"Michael Redd"	0.114625
"Wayne Turner"	0.113428
"Howard Eisley"	0.113421
"Baron Davis"	0.113328
"Eric Snow"	0.112636
"Greg Anthony"	0.112535
"Nick Anderson"	0.111395
"Jeff Hornacek"	0.110668
"Eric Piatkowski"	0.110275
"David Wesley"	0.11026
"Dawn Staley"	0.109625
"Bob Sura"	0.108632
"Bimbo Coles"	0.106409
"Tim Hardaway"	0.106087
"Heath Irwin"	0.103742
"Avery Johnson"	0.103302
"Derek Harper"	0.103284
"Scoonie Penn"	0.103239
"Robert Pack"	0.103038
"Trevor Kidd"	0.102526
"Rod Strickland"	0.102312
"David Palmer"	0.10216
"Courtney Alexander"	0.102076
"Steve Smith"	0.10189
"Voshon Lenard"	0.100928
"Steve Nash"	0.100585
"B.J Armstrong"	0.100169
"Chauncey Billups"	0.0993158
"Grant Long"	0.0992385
"Travis Best"	0.0988639
"Terrell Brandon"	0.0988327
"Sam Cassell"	0.0979927
"Ryan Bailey"	0.0977817
"Damon Stoudamire"	0.0973221
"Hersey Hawkins"	0.0971838
"Steve Beuerlein"	0.0971284
"Kenny Anderson"	0.0952758
"Steve Francis"	0.0944945
"Matt Maloney"	0.0944614
"Jason Williams"	0.0935784
"Eddie House"	0.0921918
"Bryce Drew"	0.0921318
"Antonio Daniels"	0.0921258
"Tyronn Lue"	0.0911561
"Earl Watson"	0.0902492
"Erick Barkley"	0.0901268
"Jason Terry"	0.0900636
"Isaiah Rider"	0.0890817
"Ray Young"	0.0890559
"Brent Barry"	0.0873588
"Kendall Gill"	0.0871702
"Derek Anderson"	0.0865085
"Mike Bibby"	0.0864432
"Lorenzen Wright"	0.0858586
"Jaren Jackson"	0.0857484
"Penny Hardaway"	0.0854189
"Rex Chapman"	0.0853621
"Mitch Richmond"	0.0850746
"Ukari Figgs"	0.0850627
"Malik Sealy"	0.084184
"Billy Knight"	0.0839406
"Joe Dumars"	0.0831865
"Mark Williams"	0.0831569
"Sam Mack"	0.0828489
"Mark Jackson"	0.0815239
"Dikembe Mutombo"	0.08145
STALEY	0.0811553
"Charlie Garner"	0.0811438
Timms	0.0808713
"Brian Shaw"	0.0807099
"Dan Majerle"	0.0803962
"Brent Price"	0.0802045
"Jimmy Oliver"	0.0801848
"Kim Perrot"	0.0799304
"Tyrone Wheatley"	0.0798654
"Ron Harper"	0.0796001
Trepagnier	0.0793105
Daigle	0.0788543
"Chad Morton"	0.0788496
"Gary Payton"	0.0784405
"Karim Abdul-Jabbar"	0.0783493
"Ricky Moore"	0.0772081
"Adrian Murrell"	0.0771238
"Michael Dickerson"	0.0770996
"Stephon Marbury"	0.0756735
"Nate Newton"	0.0753718
"LaPhonso Ellis"	0.0750831
"Richard Jefferson"	0.075055
"Sultan McCullough"	0.0750202
"Charlie Ward"	0.0747163
"Cuttino Mobley"	0.0747142
"Kevin Johnson"	0.0746358
"Ricky Watters"	0.074334
"Kerry Kittles"	0.0740409
"Bobby Phills"	0.0731232
"Michael Finley"	0.0729557
"Khalid El-Amin"	0.072898
"Tony Hutson"	0.072642
"Derek Fisher"	0.0726219
"Jamal Mashburn"	0.0726116
Hardeman	0.0720612
"Jason Kidd"	0.0719842
"Vernon Maxwell"	0.0719187
"Ray Allen"	0.071917
"Sedrick Shaw"	0.0715451
"Mateen Cleaves"	0.0714176
"Shandon Anderson"	0.0707787
"Nikki McCray"	0.0707593
"Chris Mullin"	0.0707087
"John Starks"	0.0706078
"John Avery"	0.0702951
"Nick Van Exel"	0.0702814
"Rick Fox"	0.069961
"Andre Miller"	0.0699238
"Rico Hines"	0.0699019
"Hubert Davis"	0.0688271
"Mike Cloud"	0.0688217
"Kevin Faulk"	0.0686485
"Dana Barros"	0.0685033
"Cynthia Cooper"	0.0684861
"Ron Mercer"	0.0682266
"Bruce Matthews"	0.0680633
"Gene Williams"	0.0679751
"Leon Johnson"	0.0675741
"Anfernee Hardaway"	0.0673036
"John Stockton"	0.0672747
"Jerome Bettis"	0.0669148
"Todd Rucci"	0.06679
"Gary Brown"	0.066466
"Max Lane"	0.0664171
"Clyde Drexler"	0.065581
"Curtis Enis"	0.0655223
"Chris Childs"	0.0651698
"Terry Allen"	0.0647801
"Trajan Langdon"	0.0645402
"Mike Alstott"	0.0645117
"Reggie Miller"	0.0645044
"Mikhail Shtalenkov"	0.0642431
"Byron Hanspard"	0.0640237
"Michael Wiley"	0.064012
Scoonie	0.0638847
"Jerry Stackhouse"	0.0637999
"Tony Graziani"	0.0634171
"Jamal Lewis"	0.0633991
"Dorsey Levens"	0.0633532
Recchi	0.0633175
Duchesne	0.0632942
"J.R Redmond"	0.0630406
"Fredrik Olausson"	0.0628915
"Herschel Walker"	0.0625596
"Stephen Davis"	0.0623223
Gorter	0.0622769
"Allan Houston"	0.0619498
"Hu Weidong"	0.0618423
"DeShaun Foster"	0.06133
"Damon Huard"	0.061252
Audette	0.060984
Dellucci	0.0607489
"Antonio Davis"	0.0607248
"Kris Clack"	0.0606381
"Tiki Barber"	0.0605164
"Eddie Jones"	0.0604552
"Solomon Page"	0.0602497
"Skip Hicks"	0.0602409
"Don Maclean"	0.0594155
Kovalev	0.0593913
"Chris Warren"	0.0592989
"Toby Bailey"	0.0592891
C@@	0.0592428
"Clarence Weatherspoon"	0.058472
"Larry Allen"	0.058447
"Yolanda Griffith"	0.0580522
Nedved	0.0580099
"Allen Iverson"	0.0579022
"Lamar Odom"	0.0578682
))
("Anthony Lake" (desc 2720.05) (sims
"Samuel Berger"	0.383805
"Zbigniew Brzezinski"	0.354583
"Sandy Berger"	0.330366
"Brent Scowcroft"	0.246998
"Danny Yatom"	0.239356
"Dennis Ross"	0.176683
"Lakhdar Brahimi"	0.170369
"Vladimiro Montesinos"	0.165709
"Alexander Lebed"	0.165441
"Victor Chernomyrdin"	0.161239
"Condoleezza Rice"	0.161089
"William Perry"	0.156515
"Christopher Hill"	0.154607
"Dore Gold"	0.144795
al-Baz	0.140665
"Richard C. Holbrooke"	0.138044
"Robert Gelbard"	0.128572
"Henry Kissinger"	0.126566
"Strobe Talbott"	0.125714
Baz	0.124406
"Yitzhak Molcho"	0.12256
"Carl Bildt"	0.11814
el-Baz	0.117761
"Richard Holbrooke"	0.111379
Sahnoun	0.11051
"Bill Richardson"	0.106097
"Jaswant Singh"	0.105577
"Ahmed Tibi"	0.105536
"Secretary of Defense"	0.104297
"John Podesta"	0.102929
"Wolfgang Petritsch"	0.101874
"Anatoly Chubais"	0.101133
"Warren Christopher"	0.100043
Ahtisaari	0.0991445
"James Baker"	0.0975406
"de Charette"	0.0970151
"Shelly Finkel"	0.0947303
Kissinger	0.0938476
"David Bar-Illan"	0.0929713
Berger	0.0914769
"Viktor Chernomyrdin"	0.0896715
"Tomiichi Murayama"	0.0868157
"George Mitchell"	0.0862361
"De Soto"	0.0855789
Komura	0.0851878
"Sergei Kiriyenko"	0.0849017
Stoyanov	0.0826124
Ikeda	0.0820124
Brahimi	0.0808202
"Gene Sperling"	0.0808101
"Vo Van Kiet"	0.080596
"John Koskinen"	0.0805636
Shareh	0.0805036
"Rahm Emanuel"	0.0796732
"Rodney Slater"	0.079598
"Paul Begala"	0.0795092
"Zell Miller"	0.0794129
"National Security Adviser Sandy Berger"	0.0789304
"Koo Chen-fu"	0.078859
"Chavalit Yongchaiyudh"	0.0783157
Chavalit	0.0782529
"Secretary of Commerce"	0.0781109
"Stuart Eizenstat"	0.0781016
Narayanan	0.0777153
Kok	0.0770032
"King Abdullah II"	0.0769576
Wolfensohn	0.0760549
"George Stephanopoulos"	0.0749837
"Lawrence Summers"	0.0740943
"Defense William Cohen"	0.0738576
"Martti Ahtisaari"	0.0737786
"Vladislav Jovanovic"	0.073187
Guterres	0.0730621
Karimov	0.0724772
Vasile	0.0724052
"Noboru Takeshita"	0.0719261
"Ron Brown"	0.0718557
Saleh	0.0714057
Pickering	0.0710354
Holbrooke	0.0708267
Banharn	0.0706749
Lipponen	0.0705797
"Robert Rubin"	0.0704794
"Mickey Kantor"	0.070266
"Paul Caligiuri"	0.0697732
"deputy foreign minister"	0.0697024
Sampaio	0.0693916
"Prime Minister Banharn Silpa-Archa"	0.0690663
"Romano Prodi"	0.0689619
"Mark McKinnon"	0.0684981
"Maung Aye"	0.0678847
"Jesse Jackson"	0.0677894
Granic	0.0676977
Klima	0.0675915
"William Daley"	0.0675582
"Bob Shrum"	0.067482
"Boutros Boutros Ghali"	0.0673891
Camdessus	0.0671478
Scharping	0.066928
"William Cohen"	0.0668624
Moratinos	0.0666771
"Gro Harlem Brundtland"	0.0662193
Rifkind	0.0660643
"Javier Solana"	0.0659846
"President Kim Young-sam"	0.0659739
"Michel Camdessus"	0.0656668
"security adviser"	0.0649786
"Li Ruihuan"	0.0644609
Constantinescu	0.0643596
"King Sihanouk"	0.0643088
Luong	0.0641694
"I.K Gujral"	0.0638986
"Defense Secretary"	0.0637985
Bedie	0.063361
"Jacques Santer"	0.0633388
"Madeleine Albright"	0.063303
"Rolf Ekeus"	0.0626728
Dehaene	0.0616476
Nujoma	0.0616395
"William S. Cohen"	0.0616095
"Sam Nunn"	0.0614632
"Harold Ickes"	0.0613011
Phieu	0.0610865
Ross	0.0610039
"Howard Baker"	0.0608475
"Tony Coelho"	0.0607915
"Sidney Blumenthal"	0.06064
Lt.-Gen.	0.0605004
Ben-Ami	0.0604065
Muoi	0.0603749
"Laurent Fabius"	0.0600049
"Secretary General Esmat Abdel-Meguid"	0.0599424
Lebed	0.0598427
"Dick Morris"	0.0596805
"Sergei Stepashin"	0.0595705
"Wlodzimierz Cimoszewicz"	0.0595271
Prueher	0.0593844
"Inder Kumar Gujral"	0.0592553
Fino	0.0591588
Insulza	0.0590621
Kabariti	0.0584986
"Bill Skate"	0.0584409
"Tansu Ciller"	0.0584077
"John Weaver"	0.0583915
Juncker	0.0582919
Kodikian	0.0581851
Barshefsky	0.0580762
Silas	0.0580189
Vollebaek	0.0579995
"Boutros Boutros-Ghali"	0.0579539
Pustovoitenko	0.0578631
"Queen Beatrix"	0.0575884
Glickman	0.0573612
Ekeus	0.0572891
"Mike Murphy"	0.0572271
Abbas	0.0570946
Talbott	0.0569794
"Dan Morales"	0.0567695
"Emperor Akihito"	0.0565535
Nzo	0.056535
Siazon	0.0563607
"Palestinian Central Council"	0.0562481
"John Major"	0.0561199
"Log Cabin Republicans"	0.0561057
"Walter Mondale"	0.0561009
"Norodom Ranariddh"	0.0560312
Scalfaro	0.0560132
"Jordanian King Abdullah Bin Hussein"	0.0558031
Arrives	0.0556306
"Barry McCaffrey"	0.0556303
"Brian Billick"	0.0556256
"Abidine Ben Ali"	0.0555288
Alatas	0.0554866
Solana	0.0554815
undersecretary	0.0554097
LeBlanc	0.0554038
Moussa	0.0553867
Stepashin	0.0551646
"Carlos Westendorp"	0.0551385
Iliescu	0.0549281
"Than Shwe"	0.0548077
"Meles Zenawi"	0.0547997
Fernandes	0.054733
"Amnuay Virawan"	0.0546799
"Henry Shelton"	0.0546213
"Princess Anne"	0.0545507
"Karl Rove"	0.0545466
Deuba	0.0544223
"Antonio Guterres"	0.0542931
"Daim Zainuddin"	0.0540666
Rodionov	0.0540415
Osama	0.0540399
Papandreou	0.0539541
"Bobby Brown"	0.0539326
Sumaye	0.0539055
Xiong	0.053813
"Ramsey Clark"	0.0537791
Soares	0.0536702
Shevardnadze	0.0535033
Samuel	0.0533179
))
("Anthony Lewis" (desc 1366.88) (sims
"Bob Herbert"	0.40755
"Gail Collins"	0.335782
"William Safire"	0.325623
"Maureen Dowd"	0.315677
"Frank Rich"	0.281703
"Thomas L. Friedman"	0.267164
"Paul Krugman"	0.183061
"A.M. Rosenthal"	0.181008
"Joe Murray"	0.135761
"George Will"	0.100477
Rudman	0.100049
editorialist	0.0827417
Theroux	0.0755801
"Mike Barnicle"	0.0741608
"theater critic"	0.0734186
"Patricia Smith"	0.071327
Weiner	0.0699217
Noonan	0.0652421
"E.L Doctorow"	0.0631601
L'Equipe	0.0626177
"Arianna Huffington"	0.0625768
Kommersant	0.0620254
"Moscow Times"	0.0616376
Gibbons	0.0608339
Izvestia	0.0605749
Shattuck	0.0591168
"Christiane Amanpour"	0.0578113
Steinbeck	0.0576652
"lead story"	0.0567054
Plath	0.0563083
Menchu	0.0561801
Barbour	0.0561716
McManus	0.0557968
Yosef	0.0557941
"Nhan Dan"	0.0556197
"El Pais"	0.0556124
"Elyakim Rubinstein"	0.05504
Bild	0.0547101
insisting	0.0546028
"Janet Maslin"	0.0532502
Ledeall	0.0532376
Epstein	0.0526871
"Ricardo Alarcon"	0.0521777
Remnick	0.0519691
"music critic"	0.0514939
Vogel	0.0506598
Hersh	0.0506358
"National Commission"	0.0503065
"Larry McMurtry"	0.0501511
"Yediot Ahronot"	0.0500126
Zucker	0.0498274
Spyglass	0.0496308
Al-Ahram	0.0495531
"sports section"	0.0495419
"U.N. Convention"	0.0495096
Feerick	0.0494041
backsliding	0.0493956
Lessig	0.0492946
emphases	0.048458
"public lecture"	0.0479371
"Jack Smith"	0.0478278
Echols	0.0476933
Celestine	0.0476377
Sera	0.0475833
Alexie	0.0473065
"F. Scott Fitzgerald"	0.0472422
Blume	0.0471851
"El Mundo"	0.0471328
"drama critic"	0.0467839
Politika	0.046375
Engelberg	0.0462066
"Congressional Republicans"	0.0456406
Ives	0.0453463
Jovanovic	0.0452906
Al-Thawra	0.0452226
"Koha Ditore"	0.045185
Halberstam	0.0451455
"Wen Wei Po"	0.0449157
"Tom Wolfe"	0.0448518
Orwell	0.0444255
Morgenthau	0.0437598
"Adem Demaci"	0.0435414
Hummer	0.0434971
Borges	0.04348
"Bruce Teitelbaum"	0.043447
Rivlin	0.0431599
Greenwald	0.0430178
"John Steinbeck"	0.0429752
Asahi	0.0426176
"Beijing Declaration"	0.0423371
"crossword puzzle"	0.0422694
Heyward	0.042266
Golding	0.0422228
Schmalensee	0.0421931
"Patrick J. Buchanan"	0.0420296
Knapp	0.0420015
"David Halberstam"	0.041691
Insulza	0.0414378
"Wendy Wasserstein"	0.0414015
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0410077
Gutman	0.0405881
romano	0.0403718
Haaretz	0.0403671
symposia	0.0402855
"Esmat Abdel Meguid"	0.0401688
Reforma	0.0400898
))
("Anthony Mason" (desc 3649.68) (sims
"Derrick Coleman"	0.23055
"David Wesley"	0.216537
"Elden Campbell"	0.199316
"P.J Brown"	0.17342
"J.R Reid"	0.167898
"Matt Geiger"	0.16636
"Bobby Phills"	0.161848
"Eddie Jones"	0.149492
"Clarence Weatherspoon"	0.148191
"Robert Horry"	0.146959
"Vlade Divac"	0.137436
"Chris Mills"	0.137339
"Horace Grant"	0.136779
"Jamal Mashburn"	0.134375
"Rick Fox"	0.132104
"Travis Knight"	0.131808
"Chris Webber"	0.130919
"Sam Clancy"	0.130078
"Shawn Kemp"	0.129606
"Jarvis Turner"	0.129163
"Vin Baker"	0.128564
"Voshon Lenard"	0.121895
"Terry Cummings"	0.120054
"Larry Johnson"	0.119655
"CORIE BLOUNT"	0.118977
"Grant Hill"	0.118861
"Dan Majerle"	0.117933
"Derek Fisher"	0.117272
"Joe Smith"	0.11727
"Gabe Muoneke"	0.11726
"Tom Gugliotta"	0.114152
"Walt Williams"	0.114002
"A.C. Green"	0.113719
"Glen Rice"	0.113567
"Keith Van Horn"	0.112869
"Toni Kukoc"	0.112548
"Lee Nailon"	0.10996
"Glenn Robinson"	0.109235
"Tim Thomas"	0.108731
"Kevin Willis"	0.107891
"Rasheed Wallace"	0.107734
"Isaiah Rider"	0.107546
"Theo Ratliff"	0.106919
"Brian Grant"	0.106381
"Sean Rooks"	0.105112
"Tim Hardaway"	0.104905
"Charles Oakley"	0.104685
"Michael Wright"	0.104072
"Raef LaFrentz"	0.104042
"Kenyon Martin"	0.103964
"Sam Cassell"	0.103849
"Grant Long"	0.10289
"Gary Trent"	0.102878
"Corliss Williamson"	0.102585
"Juwan Howard"	0.100791
"Alan Henderson"	0.100435
"Larry Hughes"	0.0998391
"Christian Laettner"	0.0982465
"Danny Fortson"	0.0981484
"Donyell Marshall"	0.0975008
"Alonzo Mourning"	0.0967728
"Kendall Gill"	0.0955275
"Antonio McDyess"	0.0952263
"Cedric Ceballos"	0.0951908
"Samaki Walker"	0.094851
"Chris Gatling"	0.0937663
"Kurt Thomas"	0.0930425
"Michael Finley"	0.0929386
"B.J Armstrong"	0.0927188
"Rodney Rogers"	0.092469
"Dennis Rodman"	0.0921074
"Alen Boksic"	0.0920165
"Kevin Garnett"	0.0913655
"Mitch Richmond"	0.0909715
"Mark Madsen"	0.090855
"Shareef Abdur-Rahim"	0.0906731
"Dominique Wilkins"	0.0906446
"Bill Guerin"	0.0905453
"Chris Porter"	0.0901083
"Latrell Sprewell"	0.0900938
"Tracy McGrady"	0.0900329
"Keith Tkachuk"	0.0900274
"Antonio Davis"	0.0891965
"Kobe Bryant"	0.0887953
"Ante Razov"	0.0877145
"Kevin Freeman"	0.0875187
"Shawn Marion"	0.0874787
"Rashard Lewis"	0.0873524
"Tamika Catchings"	0.0873123
"Rebecca Lobo"	0.0867551
"Richard Jefferson"	0.0866682
"Maurice Taylor"	0.0864049
"Ziggy Palffy"	0.0862269
"Kenny Thomas"	0.0857578
"Bonzi Wells"	0.0857003
"Lamond Murray"	0.0848864
"Arvydas Sabonis"	0.0848775
"Nick Van Exel"	0.084328
"Sean Elliott"	0.083896
"Tony Massenburg"	0.0837552
"Dikembe Mutombo"	0.0837088
"Matthew Barnaby"	0.0826671
"Bryon Russell"	0.0822939
"Jerry Stackhouse"	0.0821856
"Sun Wen"	0.081419
"Hu Weidong"	0.0811603
"Matt Harpring"	0.0809496
"Alexei Kovalev"	0.0808448
"Stern John"	0.0806082
"Jason Kidd"	0.0800907
"Brian Skinner"	0.0796659
"Kris Clack"	0.0792279
"Ray Allen"	0.0789297
"Ron Harper"	0.0785995
"Todd Harvey"	0.0780502
"Peter Forsberg"	0.0779446
"Bruce Bowen"	0.0774138
"Jason Kapono"	0.0766696
"Shaquille O'Neal"	0.0763851
"Brian McBride"	0.0763291
"Dejan Savicevic"	0.0761693
"John Wallace"	0.075874
"Jake Voskuhl"	0.0746464
"Dirk Nowitzki"	0.0741019
"Penny Hardaway"	0.0740017
"Mark Bryant"	0.0739523
Wesley	0.0739431
"Kevin Johnson"	0.0737341
"Kerry Kittles"	0.0737234
"Chris Carrawell"	0.0736816
"Roy Lassiter"	0.0735571
"Ron Mercer"	0.0733161
"Luc Longley"	0.0732765
"Dale Davis"	0.0731798
"Sergei Zubov"	0.0731316
"Karl Malone"	0.0729369
"Brad Miller"	0.0727148
"Blake Sloan"	0.0725958
"Hao Haidong"	0.0723503
Gauthe	0.0722091
"Greg Adams"	0.0718852
"Morris Peterson"	0.071258
"Marcus Fizer"	0.0712005
"Mike Miller"	0.0711454
"Jumaine Jones"	0.0710514
"Grant Marshall"	0.0710425
"Shane Battier"	0.0707925
"Jalen Rose"	0.0707324
"DeLisha Milton"	0.0704302
"Geoff Sanderson"	0.0704098
"Faustino Asprilla"	0.0701404
"Chris Crawford"	0.0699843
"Chamique Holdsclaw"	0.069595
"Antawn Jamison"	0.069545
"Sergei Fedorov"	0.0693719
"Brian Shaw"	0.0692244
"Antoine Walker"	0.0690694
"Othella Harrington"	0.0690176
Gugliotta	0.0689566
Asprilla	0.0689221
"Chris Childs"	0.0688902
"Marcus Camby"	0.0688639
"Scottie Pippen"	0.0688006
"Shane Doan"	0.0687648
"Jayson Williams"	0.0683317
"Rick Tocchet"	0.0681719
"Predrag Mijatovic"	0.0681591
"Gary Payton"	0.0678066
"Anfernee Hardaway"	0.0677061
"Terrell Brandon"	0.0676856
"Jermaine O'Neal"	0.0671894
"Carlos Hermosillo"	0.0670989
"Matt Bullard"	0.0669944
"Patrick Ewing"	0.0666089
"Damon Stoudamire"	0.0665992
"Mookie Blaylock"	0.066193
"Brian Scalabrine"	0.0661522
"Austin Croshere"	0.0659893
"Jamie Langenbrunner"	0.0659868
"Robert Traylor"	0.0658226
"Sheryl Swoopes"	0.065634
"Allan Houston"	0.065383
Swango	0.0653816
"Theo Fleury"	0.0653694
"Wally Szczerbiak"	0.065169
"Pavol Demitra"	0.0649958
"Pierre Turgeon"	0.0648343
"Jeff Friesen"	0.0648308
"Vitaly Potapenko"	0.0648019
"Zydrunas Ilgauskas"	0.0647566
"Jaromir Jagr"	0.064311
"Jeremy Roenick"	0.0643095
"Kirk Muller"	0.0639635
"Richard Matvichuk"	0.0637953
"Sean Farnham"	0.0637795
"LaPhonso Ellis"	0.0637727
"Pat Verbeek"	0.0636583
Bryant	0.063336
"Chris Anstey"	0.0632654
"Brendan Shanahan"	0.0631362
))
(anthrax (desc 13986.7) (sims
smallpox	0.275721
measles	0.219612
polio	0.205599
"hepatitis B"	0.200077
Rabies	0.191417
cholera	0.178054
salmonella	0.175645
coli	0.174266
encephalitis	0.16552
"hepatitis A"	0.158646
Dengue	0.158255
listeria	0.156855
botulism	0.154773
"dengue fever"	0.153154
ebola	0.150978
malaria	0.149668
virus	0.149524
tuberculosis	0.149398
germ	0.149128
"Lyme disease"	0.149114
Meningitis	0.144255
influenza	0.143708
bacteria	0.142533
hepatitis	0.1403
typhoid	0.138767
rotavirus	0.138136
O@@@:H@	0.131866
flu	0.130999
toxin	0.130722
chickenpox	0.130281
"yellow fever"	0.127307
"typhoid fever"	0.126079
Dysentery	0.125112
"foot-and-mouth disease"	0.124043
tetanus	0.121991
Tb	0.121908
dioxin	0.121094
poliomyelitis	0.118297
"AIDS virus"	0.117556
plague	0.11606
Hantavirus	0.115504
"food poisoning"	0.113619
HIV	0.112673
"West Nile"	0.112281
pox	0.111415
"nerve gas"	0.110929
canker	0.109773
disease	0.108456
diphtheria	0.105243
cryptosporidium	0.104999
CJD	0.104963
syphilis	0.104098
Lyme	0.101837
diarrhea	0.101182
Sarin	0.100687
plutonium	0.098842
gastroenteritis	0.0984378
"chemical agent"	0.097434
pesticide	0.0962057
asbestos	0.0957462
fungus	0.0949397
"infectious disease"	0.0947953
radioactivity	0.093944
giardia	0.0937272
chemical	0.0928255
poison	0.0922261
VX	0.0907512
parasite	0.0897022
BSE	0.0894116
cyanide	0.0893266
bacillus	0.0891381
spore	0.0886611
PCBs	0.0884512
rinderpest	0.0878585
arsenic	0.0876123
bacterium	0.0856342
pneumonia	0.0852473
fever	0.0845726
HIV/AIDS	0.08455
microbe	0.0839925
aids	0.0839007
pathogen	0.0836841
"poison gas"	0.0823905
"mustard gas"	0.0819192
infection	0.0815803
leprosy	0.081385
"chemical warfare"	0.0801289
poisoning	0.0798235
allergen	0.076973
"contagious disease"	0.0764837
microorganism	0.0755693
"Human Immunodeficiency Virus"	0.0752268
encephalopathy	0.0738768
beryllium	0.0729199
Vaccine	0.072643
epidemic	0.0726117
asthma	0.0725474
radiation	0.0723616
chloride	0.0716917
diarrhoea	0.0700689
pest	0.0699841
carcinogen	0.0695335
trachoma	0.068819
contamination	0.0688013
Chlamydia	0.0684099
famine	0.0673916
"sexually transmitted disease"	0.067099
"rheumatoid arthritis"	0.0666826
"Love Bug"	0.0662206
Osteoporosis	0.0654104
uranium	0.064995
contagion	0.064534
leukemia	0.064247
bug	0.064216
illness	0.0638941
"animal disease"	0.0637539
melanoma	0.0636478
Parkinson's	0.0633571
"heart disease"	0.0630281
"acquired immune deficiency syndrome"	0.0627591
cancer	0.0626318
herpes	0.0617499
"bubonic plague"	0.0614611
tremolite	0.061375
"lung cancer"	0.0610564
sickness	0.0607191
Alzheimer	0.060533
C	0.0604247
"communicable disease"	0.0603765
anemia	0.0602995
"Creutzfeldt-Jakob Disease"	0.0602408
lupus	0.0600494
defoliant	0.0600021
steroid	0.0598063
"cystic fibrosis"	0.0597341
herbicide	0.059729
fume	0.0593556
syndrome	0.0587989
DDT	0.0583587
"germ warfare"	0.0580229
diabetes	0.0577097
"explosive device"	0.0576348
organism	0.057199
"land mine"	0.0571398
Botox	0.0565758
"chemical compound"	0.05637
"respiratory disease"	0.0562407
malignancy	0.0561306
"colon cancer"	0.0561278
cocaine	0.0559257
disorder	0.055725
"venereal disease"	0.0556841
"hydrogen sulfide"	0.0554323
"skin cancer"	0.0552581
"carbon monoxide"	0.055145
ulcer	0.0551413
contaminant	0.0550358
E.	0.054642
gonorrhea	0.0546143
pollen	0.0545069
urine	0.0544808
hypertension	0.0543308
allergy	0.0542066
pandemic	0.0541209
gangrene	0.0540035
cataract	0.0540001
insecticide	0.05387
substance	0.0535188
hormone	0.0531668
"toxic waste"	0.0527345
"cardiovascular disease"	0.0526516
benzene	0.0526422
starvation	0.0523751
antibody	0.0523243
Obesity	0.0521128
"growth hormone"	0.0519922
schizophrenia	0.0519788
clenbuterol	0.051898
mercury	0.0518387
"brain tumor"	0.0518358
"multiple sclerosis"	0.0516716
Sewage	0.0515897
"Parkinson's disease"	0.0513827
outbreak	0.0513383
ailment	0.0512793
GHB	0.0510545
"blood clot"	0.050608
fibrillation	0.0505165
ketamine	0.0501199
alcohol	0.0500255
"nuclear weapon"	0.0499221
explosive	0.0494932
HIV-@	0.0490791
malnutrition	0.049062
mosquito	0.0490434
ephedrine	0.0490226
propellant	0.0489737
munition	0.0488411
"biological warfare"	0.0487022
deflation	0.0486282
))
(anthropologist (desc 13264.9) (sims
paleontologist	0.204486
sociologist	0.194374
historian	0.177906
"political scientist"	0.174168
linguist	0.168799
psychologist	0.162748
geologist	0.162551
biologist	0.160865
archeologist	0.150106
archaeologist	0.149359
"English professor"	0.137293
"social scientist"	0.136125
professor	0.134457
researcher	0.134243
geographer	0.133091
scientist	0.131687
"art historian"	0.129231
physicist	0.126188
astronomer	0.125499
ecologist	0.124533
geneticist	0.122553
"graduate student"	0.122023
biochemist	0.121323
zoologist	0.120912
scholar	0.120485
mathematician	0.117824
entomologist	0.116611
pathologist	0.116375
demographer	0.11554
epidemiologist	0.114053
psychiatrist	0.112629
expert	0.112148
criminologists	0.111906
philosopher	0.109006
"associate professor"	0.108392
theologian	0.107661
cardiologist	0.106676
educator	0.10523
astrophysicist	0.103689
"legal expert"	0.103501
specialist	0.102616
botanist	0.101795
neurologist	0.101112
ornithologist	0.100842
toxicologist	0.0990213
neuroscientist	0.0977916
microbiologist	0.097374
"assistant professor"	0.0970666
lecturer	0.0968726
academic	0.0966749
"law student"	0.0961209
chemist	0.0954457
economist	0.0954369
nutritionist	0.0945779
criminologist	0.0939207
lexicographer	0.0914434
ethicists	0.0911989
pediatrician	0.0903462
pharmacologist	0.0894496
"computer scientist"	0.0883648
cosmologist	0.0880212
theorist	0.0878039
Provost	0.0871625
curator	0.0871358
psychiatry	0.0865597
"visiting professor"	0.0860185
geophysicist	0.0855318
conservationist	0.0850419
statistician	0.0849801
naturalist	0.0846049
agronomist	0.0838778
oncologist	0.0829418
oceanographer	0.0828534
psychoanalyst	0.0818049
climatologist	0.0815234
surgeon	0.0808446
physician	0.0789694
immunologist	0.0774576
seismologist	0.0770353
"management consultant"	0.076868
planner	0.0766635
librarian	0.0765636
sculptor	0.0763541
ethicist	0.0762344
urologist	0.0761753
adventurer	0.0761229
engineer	0.075914
musicologist	0.0753974
"medical student"	0.0747708
author	0.0747589
"political science"	0.0743793
architect	0.0740787
neurosurgeon	0.073588
endocrinologist	0.0731736
essayist	0.0729619
archivist	0.0726462
therapist	0.0724826
pundit	0.0723752
poet	0.0721651
"clinical psychologist"	0.0717802
novelist	0.0717328
"market watcher"	0.0714846
"social worker"	0.071427
journalist	0.0713345
"economic expert"	0.0699204
environmentalist	0.0696428
dietitian	0.0695882
horticulturist	0.0692568
writer	0.0688431
coauthor	0.0684448
"faculty member"	0.0684196
technician	0.0676093
photographer	0.0675972
reviewer	0.0672728
academician	0.0672629
dermatologist	0.0664496
Industrialist	0.0661943
Futurist	0.0658407
anthropology	0.065563
psychotherapist	0.0654809
biographer	0.0652858
"plastic surgeon"	0.0644445
"law school"	0.0643925
commentator	0.0642
jurist	0.0641552
consultant	0.0635793
clinician	0.0631853
radiologist	0.0630672
"military officer"	0.0629582
internist	0.0627848
folklorist	0.06269
"computer expert"	0.06254
calligrapher	0.0625245
experimenter	0.062229
Programmer	0.0620338
preservationists	0.0619977
humorist	0.0619879
"civil engineer"	0.0618573
intellectual	0.0618365
"government officials"	0.0618106
accountant	0.0617421
veterinarian	0.0616428
clergymen	0.0615718
"football coach"	0.0615385
designer	0.061285
genealogist	0.0609262
meteorologist	0.0609239
critic	0.0607185
investigator	0.0606972
musician	0.0605297
instructor	0.0604598
pianist	0.0603894
statesmen	0.0603736
"music critic"	0.060238
feminist	0.0599783
conservator	0.0599481
"business executive"	0.0598508
appraiser	0.0598099
skeptic	0.0598087
thinker	0.059806
"eye doctor"	0.0597949
neurobiology	0.0594866
Playwright	0.0594127
forester	0.0594086
"private investigator"	0.0593326
activist	0.0590116
Gastroenterologist	0.0589493
dentist	0.0587664
missionary	0.0587486
painter	0.0585018
dean	0.0584674
pollster	0.058323
undergraduate	0.0580846
mountaineer	0.0578667
"medical specialist"	0.0578514
"school of medicine"	0.057833
"electrical engineer"	0.0577745
filmmakers	0.0577697
Explorer	0.0577025
"computer science"	0.0575671
analyst	0.0571481
illustrator	0.0568805
laureate	0.0568654
"religious leader"	0.0568494
"health professional"	0.0567873
administrator	0.0566594
gynecologist	0.0565674
diplomat	0.0565551
auditor	0.0559018
choreographer	0.0558212
"policy maker"	0.0557849
diver	0.0556189
composer	0.0552435
"medical practitioner"	0.0552268
counselor	0.0552207
banker	0.0551986
"business school"	0.0549977
ophthalmologist	0.0549591
sophomore	0.0549367
technologist	0.0548286
))
(anthropology (desc 7836.57) (sims
sociology	0.307898
"political science"	0.277672
linguistics	0.275881
"computer science"	0.252684
"comparative literature"	0.226226
"mechanical engineering"	0.225501
zoology	0.224566
geology	0.213935
"electrical engineering"	0.209265
psychology	0.209252
biology	0.209064
psychiatry	0.20899
Botany	0.201178
biochemistry	0.201135
criminology	0.201074
"chemical engineering"	0.198408
"social science"	0.197212
"social work"	0.185066
mathematics	0.183297
archaeology	0.18044
physiology	0.174303
paleontology	0.172997
archeology	0.168343
neuroscience	0.167496
"molecular biology"	0.166843
economics	0.166374
microbiology	0.164603
pharmacology	0.163335
"physical education"	0.160924
neurobiology	0.158603
"civil engineering"	0.156144
theology	0.156119
astronomy	0.155103
"fine arts"	0.15288
physics	0.151783
meteorology	0.147183
ophthalmology	0.138504
Chemistry	0.133679
literature	0.133228
neurology	0.133138
genetics	0.132836
"environmental science"	0.130357
philosophy	0.128011
pathology	0.123965
engineering	0.12328
"liberal arts"	0.123249
"political economy"	0.123031
epidemiology	0.122726
geography	0.12044
"natural science"	0.119753
nursing	0.117605
Pediatrics	0.116821
Immunology	0.114796
"earth science"	0.114493
civics	0.112042
"medical science"	0.111883
folklore	0.11181
"biological science"	0.111684
Journalism	0.111577
ecology	0.10968
dermatology	0.109603
science	0.107963
"urban planning"	0.107426
dentistry	0.103364
oceanography	0.10214
seismology	0.10196
Anatomy	0.101372
Toxicology	0.100716
"special education"	0.100522
"fine art"	0.0981457
"natural history"	0.0970152
horticulture	0.0967995
oncology	0.0966205
"information science"	0.0963381
math	0.0954904
"veterinary medicine"	0.0954852
geriatrics	0.0950904
geophysics	0.0950528
radiology	0.0924628
"elementary education"	0.0923257
astrophysics	0.0922329
biophysics	0.0917646
gynecology	0.0912636
Urology	0.0911883
"nuclear physics"	0.0908383
"preventive medicine"	0.0900402
architecture	0.0900219
hydrology	0.0897807
"internal medicine"	0.0861173
obstetrics	0.0852303
nutrition	0.0852165
"life science"	0.0845231
ethicist	0.0826944
demography	0.0818332
divinity	0.0817678
Talmud	0.0808925
"assistant professor"	0.0795292
"visiting professor"	0.079304
medicine	0.0782721
"history department"	0.0781498
"artificial intelligence"	0.0771026
"English professor"	0.0755677
undergraduate	0.0741052
aeronautics	0.0724786
religion	0.0720409
"physical therapy"	0.0678937
Ph.D	0.0663289
jurisprudence	0.0659827
"associate professor"	0.0657411
anthropologist	0.065563
entrepreneurship	0.0647228
bioengineering	0.0641957
"graduate student"	0.0640767
bioethicist	0.0634985
agronomy	0.0621635
forestry	0.0621413
neuroscientist	0.0614217
entomologist	0.0613789
"political scientist"	0.0612779
professorship	0.0609815
"criminal law"	0.0609321
humanity	0.0608873
cosmologist	0.0600815
sociologist	0.0600401
microbiologist	0.0600352
ethic	0.0599172
"business school"	0.0597906
"law school"	0.0596923
"information system"	0.0591409
"Yale Law School"	0.0585946
genealogy	0.0585918
"UC Berkeley"	0.0585616
Cardiology	0.0584266
"computer programming"	0.0583105
"Sunday school"	0.0577886
photography	0.0577467
prehistory	0.0577457
astrophysicist	0.0568565
poetry	0.0568173
geneticist	0.056724
"folk art"	0.0559847
mythology	0.0557488
"English department"	0.0550378
Buddhism	0.0546534
"alternative medicine"	0.053782
"Old Testament"	0.0537474
accounting	0.0534144
"North Carolina State University"	0.0531263
"Baylor University"	0.0526113
"international law"	0.0523882
"Media Lab"	0.0519283
"New Testament"	0.0515547
"Georgia State University"	0.0514846
"graduate school"	0.0512512
computing	0.0512432
"higher education"	0.0511939
calculus	0.0510922
MBA	0.0510713
Lancet	0.0509586
robotics	0.0508921
teaching	0.0506222
psychologist	0.0500667
genomics	0.0495292
yeshiva	0.0492899
biochemist	0.0490053
"Harvard Business School"	0.0489339
"Wharton School"	0.0486104
lecturer	0.0484224
ergonomics	0.0482613
"Rice University"	0.0481141
Vassar	0.0475564
algebra	0.0475088
"Harvard Law School"	0.0473488
psychoanalysis	0.0469175
nanotechnology	0.0466637
Provost	0.0464968
"martial art"	0.0462236
"Barnard College"	0.046131
"Kennedy School of Government"	0.0459713
"Brandeis University"	0.0459562
"Brown University"	0.0455983
aviation	0.0451336
eighth-grade	0.044995
"conflict resolution"	0.0448868
"Emory University"	0.0444678
doctorate	0.0444136
biotechnology	0.0441648
"master's degree"	0.0441517
"computer technology"	0.0440266
"John F. Kennedy School of Government"	0.044025
ecologist	0.0440015
"senior high school"	0.0439956
"scientific method"	0.0437008
"medical school"	0.0434108
"University of Kansas"	0.0430271
"George Washington University"	0.042931
"Arizona State University"	0.0427611
"computer graphics"	0.0426017
spirituality	0.0425873
"University of Dayton"	0.0423741
))
("Anti-Ballistic Missile Treaty" (desc 3745.42) (sims
"ABM Treaty"	0.355873
ABM	0.19924
"Civil Rights Act"	0.166342
"Clean Air Act"	0.144327
"Geneva convention"	0.138153
Treaty	0.126024
"penal code"	0.124545
"U.N. Resolution @@@"	0.11386
"Voting Rights Act"	0.112733
"Telecommunications Act"	0.109802
bylaw	0.10461
"U.N. Security Council Resolution @@@"	0.0986845
"antitrust law"	0.0952015
"trade agreement"	0.0949197
"Title VII"	0.0935802
pact	0.0907581
"U.S. Constitution"	0.0905404
"Criminal Procedure Law"	0.0889898
"Lusaka Peace Accord"	0.086429
"Helms-Burton Act"	0.0860913
"Oslo Accords"	0.0860911
"Resolution @@@"	0.0857008
"Montreal Protocol"	0.08551
Ordinance	0.0847592
"Vienna Convention"	0.0832591
"criminal law"	0.0824848
"U.N. Charter"	0.0823434
"Maastricht Treaty"	0.0811087
"abortion law"	0.0791444
"purchase contract"	0.0781187
"Oslo Accord"	0.0764541
"counsel law"	0.0761461
"Article @@"	0.0755584
"Joint Declaration"	0.0752069
statute	0.0747385
"Antiquities Act"	0.0743305
NPT	0.0732241
"Clean Water Act"	0.0731139
"United Nations Charter"	0.0730929
"Endangered Species Act"	0.0724616
"Sino-British Joint Declaration"	0.072384
"Lome Convention"	0.0707661
"Article @"	0.0699199
armistice	0.0695405
covenant	0.0692168
"employment contract"	0.0689197
"attorney-client privilege"	0.0687105
"purchase agreement"	0.0685107
clause	0.066846
"licensing agreement"	0.0666686
"fundamental principle"	0.0661125
"International Covenant"	0.0659304
"merger agreement"	0.0651691
"code of conduct"	0.0649528
"Community Reinvestment Act"	0.0647277
"right to privacy"	0.0643971
"balance of power"	0.064323
"labor agreement"	0.0641406
"peace treaty"	0.0639332
"bankruptcy law"	0.0638944
"labor contract"	0.0637005
"international law"	0.063556
"Fourth Amendment"	0.0632672
"Lusaka Protocol"	0.0628878
"public trust"	0.0625919
"basic principle"	0.0623599
zoning	0.0619584
Wye	0.0616465
doctrine	0.0615343
cease-fire	0.0611505
truce	0.0604048
"tax system"	0.0603619
"First Amendment"	0.0601053
"building code"	0.0587048
"American plan"	0.0579779
"North American Free Trade Agreement"	0.0578947
"Article @@@"	0.0572869
"Six Day War"	0.0567349
"commercial law"	0.0564358
"maritime law"	0.0554326
"U.N. Convention"	0.0547321
"Comprehensive Test Ban Treaty"	0.0546255
ERISA	0.0542993
"Berlin Wall"	0.0542252
"Comprehensive Nuclear Test Ban Treaty"	0.0529936
"rule of law"	0.0524756
precept	0.0519787
dustup	0.0518505
"Fifth Amendment"	0.0518231
"Basic Law"	0.0516276
"quota system"	0.051507
"two pitchers"	0.0510296
"Title IX"	0.0510264
"Balanced Budget Act"	0.0509742
"United Nations Convention"	0.0509543
"scoring system"	0.050933
Japan-U.S.	0.0503278
one-China	0.0502799
"Nuclear Non-Proliferation Treaty"	0.0501812
VFA	0.0501686
face-off	0.04988
"trade embargo"	0.0497453
"arms deal"	0.0496606
"law of the land"	0.0496054
CTBT	0.0492018
"current system"	0.0491541
"safety standard"	0.0489028
"general agreement"	0.0483033
"UN Charter"	0.0481844
wording	0.0480499
"status quo"	0.0480167
"One-China Principle"	0.0478748
"Kyoto Protocol"	0.0470878
"rule of evidence"	0.0469313
"administrative law"	0.0459095
tenet	0.0458916
"freedom of the press"	0.0458179
confidentiality	0.0457551
"social contract"	0.0456862
"Stability Pact"	0.045428
"natural law"	0.0450492
"state of war"	0.0448925
"Self-Defense Forces"	0.0443044
pacifism	0.0440831
"Section @"	0.0435612
"Joint Strike Fighter"	0.0434205
"law of nature"	0.0433502
prohibition	0.0429803
"New Deal"	0.042956
"arms race"	0.0424866
MOU	0.0424513
"Proposition @"	0.0421062
"legal principle"	0.0421025
"Free Trade Agreement"	0.0418809
"European Convention"	0.0417827
"Sino-Japanese Joint Statement"	0.0413479
"service contract"	0.0412562
"rating system"	0.0411011
"rate of exchange"	0.0408932
Sino-U.S.	0.0408075
"blood feud"	0.0405787
Miranda	0.0405477
"Proposition @@"	0.0400485
))
("Anti-Defamation League" (desc 4212.49) (sims
"American Jewish Committee"	0.203014
"American Civil Liberties Union"	0.194563
"National Association"	0.187755
"Cuban American National Foundation"	0.187673
"Human Rights Campaign"	0.18644
ACLU	0.175746
"Human Rights Watch"	0.175712
"Natural Resources Defense Council"	0.173438
"Rainbow/PUSH Coalition"	0.172269
"Electronic Privacy Information Center"	0.171846
"Consumers Union"	0.170331
"Violence Policy Center"	0.165813
"Amnesty International"	0.161138
"World Jewish Congress"	0.15377
"American Association of Retired Persons"	0.150642
"National Council of La Raza"	0.149273
"Sierra Club"	0.149134
NAACP	0.147422
"National Council of Churches"	0.146767
"Log Cabin Republicans"	0.145044
"National Republican Congressional Committee"	0.143244
"American Lung Association"	0.143167
"Democratic Leadership Council"	0.140501
"Handgun Control"	0.139238
ADL	0.139226
"Families USA"	0.135285
"National Organization"	0.134597
AARP	0.132226
"Center for Democracy"	0.131962
"Common Cause"	0.131524
"Public Citizen"	0.128995
"Air Transport Association"	0.127645
"Christian Coalition"	0.127022
"Handgun Control Inc."	0.12663
"Family Research Council"	0.124855
"Transparency International"	0.124081
"International Rescue Committee"	0.123351
"Electronic Frontier Foundation"	0.122029
"Planned Parenthood"	0.121503
"Securities Industry Association"	0.120253
Greenpeace	0.120002
"Heritage Foundation"	0.117046
"Humane Society"	0.11449
"Consumer Federation"	0.113441
"Southeastern Legal Foundation"	0.113294
"National Alliance"	0.11131
"Department of Environmental Protection"	0.108326
"U.S. Immigration and Naturalization Service"	0.107671
"U.S. Chamber of Commerce"	0.107595
"Judicial Watch"	0.10754
"National Education Association"	0.104303
"National Labor Relations Board"	0.104208
"American Petroleum Institute"	0.103937
"Congressional Black Caucus"	0.103572
"League of Women Voters"	0.102539
"Republican Leadership Council"	0.102339
"Council on Foreign Relations"	0.10218
"Center for Science"	0.101422
"Immigration and Naturalization Service"	0.10101
"Recording Industry Association of America"	0.100694
AFL-CIO	0.100388
"right to life"	0.100122
"Carter Center"	0.0993728
"League of Conservation Voters"	0.099276
"American Legion"	0.0990939
"American Psychological Association"	0.098817
"Asia Society"	0.0979366
"National Federation"	0.0975555
"American Bar Association"	0.0974368
"Urban League"	0.097315
"World Church"	0.0972523
"World Wildlife Fund"	0.0965931
"Operation Lifeline Sudan"	0.0961317
"National Abortion and Reproductive Rights Action League"	0.0950213
GOPAC	0.0946244
"Iraqi National Congress"	0.0941105
"National Association of Manufacturers"	0.094104
UNICEF	0.0939629
"Legal Aid Society"	0.093904
"American Federation"	0.0932705
"American Medical Association"	0.0930627
"Commission on Presidential Debates"	0.09191
"Urban Institute"	0.0902079
"American Bankers Association"	0.0896759
"Simon Wiesenthal Center"	0.0894083
"Democratic Congressional Campaign Committee"	0.0893937
"National Audubon Society"	0.089345
"National Democratic Alliance"	0.089337
"Center for Responsive Politics"	0.0891608
"Business Council"	0.0886982
"U.S. State Department"	0.0885785
"Center on Budget"	0.0885454
"American Association of Health Plans"	0.0883099
"Human Rights Commission"	0.0881435
"Democratic Senatorial Campaign Committee"	0.0881279
"Department of Commerce"	0.0880394
"New York Civil Liberties Union"	0.0875724
"International Committee"	0.0865108
"Wine Institute"	0.0864165
"American Red Cross"	0.0858447
"American Heart Association"	0.0857775
"Serbian Orthodox Church"	0.0857503
"Federal Emergency Management Agency"	0.0856422
"Catholic Charities"	0.0853486
"Nahdlatul Ulama"	0.0852391
"National Marine Fisheries Service"	0.0850788
"U.S. Environmental Protection Agency"	0.0850596
"Department of Corrections"	0.0849947
"Republican National Committee"	0.084613
"Organization of American States"	0.0845518
"Union of Concerned Scientists"	0.0845249
"National Urban League"	0.0844011
"National Rifle Association"	0.0842425
"State Administration of Taxation"	0.0840668
"Southern Poverty Law Center"	0.0837161
UNAIDS	0.0837154
"American Cancer Society"	0.0834877
"U.N. World Food Program"	0.0832384
NTSB	0.0823775
"Audubon Society"	0.0823477
"Motion Picture Association of America"	0.0818846
"Cato Institute"	0.0815587
"Education Department"	0.0815032
"Department of Public Health"	0.0807977
"Democratic National Committee"	0.080447
"United Nations Children's Fund"	0.0800512
PTA	0.079836
"Islamic Jihad"	0.0797313
"Air Line Pilots Association"	0.0794409
"Securities and Exchange Commission"	0.0792249
"National Transportation Safety Board"	0.0790409
"U.S. Customs Service"	0.0789055
"World Food Program"	0.0785142
CDC	0.0784501
"chamber of commerce"	0.0780559
"Promise Keepers"	0.0778278
"customs service"	0.0770713
NDF	0.0770216
Hayworth	0.0769095
"Pew Research Center"	0.076568
"National Academy of Sciences"	0.0764796
Caritas	0.0763921
"Environmental Protection Agency"	0.076273
"Hong Kong Trade Development Council"	0.075642
"Board of Elections"	0.0753242
"Federal Trade Commission"	0.0753104
EEOC	0.0752098
"Xinhua News Agency"	0.075049
"Department of Transportation"	0.0749147
ILO	0.0746586
CWA	0.0746035
"Oxford University Press"	0.0744225
"Hong Kong Tourist Association"	0.0742111
"Salt Lake Organizing Committee"	0.0739588
"United Way"	0.0737966
"House Budget Committee"	0.0737902
INS	0.0735306
"European Commission"	0.0734575
"African National Congress"	0.0734127
"Department of Health and Human Services"	0.0734021
"Islamic Movement"	0.0733622
"Real IRA"	0.073291
"Hearst Corp."	0.0731399
"Council of Europe"	0.0730056
Oxfam	0.0726832
Shalala	0.072432
Interpol	0.0723796
"think tank"	0.0723498
"Jewish Museum"	0.0721845
"National Weather Service"	0.0720813
"Foreign Ministry"	0.0717463
"Agency for International Development"	0.0716114
"Russian Communist Party"	0.0715555
"Information Office"	0.0713423
"College Board"	0.071332
SCLC	0.0710358
"Texas Department of Public Safety"	0.0708796
"Operation Rescue"	0.0708314
HKMA	0.0706147
"Association of Flight Attendants"	0.0706021
"U.S. Census Bureau"	0.0705155
"Environmental Defense Fund"	0.0705015
"Red Cross Society"	0.0704749
"Forest Service"	0.0698669
"New York Times Co."	0.0696977
"United National Independence Party"	0.0694785
"Southern Baptist Convention"	0.0694484
Amal	0.0693963
"Chinese Foreign Ministry"	0.0693206
"McKinsey &AMP; Co."	0.0692684
"trade association"	0.0691966
"Central Bank of Nigeria"	0.0690775
"Brookings Institution"	0.0689756
"Kaiser Family Foundation"	0.0687613
"United Nations Population Fund"	0.0687346
"Justice Ministry"	0.0686892
OSHA	0.0686227
"House Appropriations Committee"	0.0685249
"American Academy of Pediatrics"	0.0685027
"Pan Africanist Congress"	0.0684305
))
("anti-dumping duty" (desc 2444.58) (sims
surtax	0.192433
"customs duty"	0.188825
GST	0.16503
"import duty"	0.159323
"value-added tax"	0.153978
"excise tax"	0.144151
tariff	0.142094
"withholding tax"	0.124438
surcharge	0.119525
"price control"	0.114591
"value added tax"	0.105014
"sales tax"	0.103909
"trade embargo"	0.102243
"pay cut"	0.0964077
quota	0.0902258
"trade barrier"	0.0867642
"capital gains tax"	0.0867114
"tax increase"	0.0856354
excise	0.0810021
"stamp duty"	0.079422
"income tax"	0.0783261
"fait accompli"	0.0774086
"consumption tax"	0.0745622
moratorium	0.0740641
"circuit breaker"	0.0735065
"inheritance tax"	0.0728868
Reauthorization	0.0721113
"martial law"	0.0711933
markup	0.0709594
presure	0.0696361
"tax rate"	0.0679989
censorship	0.0674094
VAT	0.0670996
"export quota"	0.0669942
markdowns	0.066562
"wage increase"	0.0637506
curfew	0.0619992
"admission fee"	0.0608108
"user fee"	0.0606417
dependence	0.0605552
"licensing fee"	0.0603502
"budget cut"	0.0599076
"compromise plan"	0.0596688
"tax hike"	0.0593451
"price increase"	0.0588923
"prison sentence"	0.0588892
"price cut"	0.0585898
"quota system"	0.0565701
"wage freeze"	0.0565695
rationing	0.0558637
increment	0.0546157
"American plan"	0.054449
co-payment	0.0543209
"turnover rate"	0.0536434
disinvestment	0.0530437
rebate	0.0525857
"tax bracket"	0.0525495
"time limit"	0.0518813
liquidator	0.0512248
clampdown	0.0509124
"occupancy rate"	0.0505009
"service charge"	0.0502657
blinder	0.0498247
rollback	0.0498208
co-payments	0.0496983
"estate tax"	0.0494665
"health check"	0.0493185
"nearly @@@ million yuan"	0.049263
"statute of limitations"	0.0491305
"profit margin"	0.0488821
threshhold	0.0485881
"proportional representation"	0.0479393
"pay raise"	0.0477406
TAXES	0.0470357
"entrance fee"	0.0470322
"security measures"	0.0468867
"prison term"	0.0467553
Sharia	0.046736
"enforcement action"	0.0464025
"spending cut"	0.0463364
"Marshall Plan"	0.0463363
deductibles	0.0462592
"safety standard"	0.0459127
outspokenness	0.045577
"tax change"	0.0453776
"rate cut"	0.0452108
Lien	0.0452048
"bank withdrawal"	0.0449897
"rate increase"	0.0446471
"relative humidity"	0.0446072
stayaway	0.044543
lockdown	0.044442
divestitures	0.0443434
"margin call"	0.0431541
"Helms-Burton Act"	0.0431134
decertification	0.0431006
Deet	0.0428247
"finding of fact"	0.0427299
cutoff	0.0424748
inundation	0.0417354
"international criminal court"	0.0415314
"domed stadium"	0.0414246
"management fee"	0.0412279
warranty	0.0411207
PictureTel	0.0410881
agave	0.0407221
"merger agreement"	0.0406551
"progress report"	0.0404399
"property tax"	0.0404305
"equity stake"	0.040307
))
(anti-inflammatory (desc 1709.41) (sims
cortisone	0.206678
tranquilizer	0.177327
painkiller	0.159657
weight-loss	0.146304
lifesaving	0.143732
nitroglycerin	0.140362
antihistamine	0.133611
opiate	0.121995
ibuprofen	0.117195
MDMA	0.115556
placebo	0.115534
interferon	0.115207
Advil	0.114233
ENBREL	0.112901
Claritin	0.108232
Relenza	0.108091
migraine	0.106929
amphetamine	0.104723
antibiotic	0.104211
glaucoma	0.102585
antioxidant	0.102472
"growth hormone"	0.101065
vitamin	0.0985406
"human growth hormone"	0.0980868
aspirin	0.097573
arthritis	0.095825
herpes	0.0948364
"birth control"	0.0925298
diuretic	0.0922407
steroid	0.0907676
hormone	0.0907307
allergy	0.0905133
nitrate	0.0895325
acne	0.0892308
inhibitor	0.0890965
heartburn	0.0881372
thalidomide	0.0871657
Botox	0.0864075
Erythropoietin	0.0862066
lithium	0.0853459
morphine	0.0847549
LIPITOR	0.0843018
impotence	0.083591
EPO	0.0834983
Ritalin	0.0833027
Oral	0.0825879
Tylenol	0.0818712
AZT	0.0813004
ulcer	0.0780674
LSD	0.0780119
hypertension	0.0760846
methadone	0.0736761
laxative	0.0735507
sedative	0.0735199
TCM	0.07324
stimulant	0.0723237
Prozac	0.0720906
insulin	0.070755
clotting	0.0699493
"up to five"	0.0695616
anemia	0.0692257
outpatient	0.0691445
"high blood pressure"	0.069127
anesthesia	0.0686474
ADHD	0.0674225
tamoxifen	0.0651606
fertility	0.0651266
estrogen	0.0649683
nevirapine	0.0646575
Endostatin	0.0642501
antacid	0.0640149
inhaler	0.0635138
narcolepsy	0.0634286
Avonex	0.0626824
methamphetamine	0.062593
penicillin	0.0623903
contraceptive	0.062127
Xenical	0.0616299
factoids	0.0611988
testosterone	0.0602401
Rezulin	0.0597943
"sleeping pill"	0.0586149
Celebrex	0.0577126
collagen	0.0576897
Zoloft	0.0574781
blocker	0.057114
bodybuilding	0.056775
Epogen	0.056635
Osteoporosis	0.0562693
echinacea	0.0557388
transfusion	0.055119
baldness	0.0549702
psoriasis	0.0549272
angina	0.0549002
"act of God"	0.0547293
Valium	0.0541451
ephedra	0.0540799
Paxil	0.0538898
potassium	0.0533691
enzyme	0.0531692
defoliant	0.0531005
flavoring	0.0530253
leptin	0.052498
Vioxx	0.0523085
antibody	0.052289
RU-@@@	0.0522465
"amino acid"	0.0521808
"rheumatoid arthritis"	0.051931
Chemo	0.0512327
"more than eight"	0.0508689
androstenedione	0.0508153
GHB	0.0505811
"raw meat"	0.0494596
Calcium	0.0489931
"multiple sclerosis"	0.048688
"up to seven"	0.0485042
"off-speed pitch"	0.048248
"up to four"	0.0482294
"morning sickness"	0.0480875
beta	0.0474772
acetaminophen	0.0474151
flack	0.0472289
cyanide	0.046825
handhelds	0.046766
"five key"	0.0464565
"vitamin E"	0.0462927
Isis	0.0455462
elan	0.045303
Herceptin	0.0452393
PB	0.0451272
"vitamin C"	0.0451063
cannabis	0.0443973
adrenalin	0.0441637
Fen	0.0439812
"Southern Democrats"	0.0436869
"Bristol-Myers Squibb"	0.0436318
forbidden	0.0434702
dispensing	0.0434481
diagnostics	0.0433389
angiogenesis	0.043276
anesthetic	0.0430011
thinning	0.0429309
"up to three"	0.0428947
"vitamin A"	0.042857
gravitas	0.0427419
andro	0.0427058
knuckleball	0.0425727
bodybuilder	0.0424985
sodium	0.042466
"cystic fibrosis"	0.0424175
ENTREMED	0.0424024
pseudoephedrine	0.0421907
"extracurricular activity"	0.042138
transformative	0.0417183
psychotherapy	0.0416702
insecticide	0.0415615
mouthwash	0.0415262
AHA	0.0414845
"four to six"	0.0414257
Davidian	0.0413935
STD	0.0413134
epilepsy	0.0409682
dehydration	0.0408695
compounding	0.0408466
ketamine	0.0408308
decontamination	0.0400883
Immunex	0.0400157
))
(anti-Semite (desc 2812.69) (sims
denier	0.149264
bigot	0.148409
racist	0.0992467
Klansmen	0.0838188
skinhead	0.0781014
supremacist	0.0756718
fascist	0.0754629
fanatic	0.0714066
neo-Nazis	0.0712704
atheist	0.0698399
humanist	0.0680692
neo-Nazi	0.0670875
internationalist	0.064931
liar	0.0646599
hater	0.0635835
Philanderer	0.0619709
modernist	0.0560298
"risk taker"	0.0560258
exerciser	0.0556624
Finkel	0.0549999
individualist	0.0538594
wonk	0.0529522
traitor	0.0524252
conspirator	0.0524142
pagan	0.0518082
womanizer	0.0516029
overachiever	0.0503746
extortionist	0.0498164
"North Carolinian"	0.0496113
hothead	0.0493901
agnostic	0.0491968
battler	0.0490147
"war criminal"	0.049009
doer	0.0486618
handicapper	0.0484678
"David Irving"	0.0480615
provocateur	0.0478755
perjurer	0.0476061
loony	0.0467528
"important person"	0.046286
Kurd	0.0462237
pacifist	0.046131
"altar boy"	0.0459935
left-winger	0.0458863
devotee	0.0458463
drinker	0.0455739
goalscorer	0.0453941
propagandist	0.0452036
bacillus	0.045085
anarchist	0.0450848
optimist	0.0450545
avocation	0.044908
right-winger	0.0445859
anti-Semitism	0.0443955
enactors	0.0439584
zealot	0.0439128
perfectionist	0.0439021
adulterer	0.0438314
Atlantan	0.0438102
junkie	0.0437823
Snitch	0.0437753
snob	0.0437359
pedophile	0.0431937
bloomer	0.0431714
dilettante	0.0431141
monarchist	0.0430997
"chess player"	0.0430257
wacko	0.0429131
psychopath	0.0425103
gadfly	0.0424116
cipher	0.0422935
"good person"	0.0422743
Fuhrman	0.0422597
oppressor	0.0418954
monopolist	0.0417259
naysayer	0.0415966
"AIDS activist"	0.0413838
egomaniac	0.0408217
Iowan	0.0407769
idealist	0.0407516
tyrant	0.0405701
"young person"	0.0403495
Ellipse	0.0403404
pornographer	0.0403052
"draft dodger"	0.0401826
ogre	0.0401667
"Turkish Republic"	0.0400401
"hired gun"	0.0400314
))
(anti-Semitism (desc 16682) (sims
racism	0.228979
homophobia	0.184384
bigotry	0.183002
xenophobia	0.17521
intolerance	0.155553
nationalism	0.150627
extremism	0.141188
prejudice	0.140355
hatred	0.136433
sexism	0.13389
Fascism	0.119667
Nazism	0.116636
discrimination	0.116187
hate	0.113162
violence	0.109523
brutality	0.109004
isolationism	0.104866
segregation	0.102285
persecution	0.1013
bias	0.100277
tribalism	0.0998551
slavery	0.0997422
oppression	0.0989954
terrorism	0.0980972
divisiveness	0.0979816
fundamentalism	0.0977687
corruption	0.096445
militarism	0.096189
hypocrisy	0.0952487
"white supremacy"	0.0949902
inequality	0.0948137
cronyism	0.092841
"sexual harassment"	0.0926849
homosexuality	0.0922206
hostility	0.0919977
"drug use"	0.0915959
anger	0.0907928
hooliganism	0.0907282
lawlessness	0.0898195
separatism	0.0893379
protectionism	0.0892762
abuse	0.0891702
distrust	0.0884341
resentment	0.0879251
repression	0.0866473
harassment	0.0863973
ignorance	0.0863608
injustice	0.0860407
partisanship	0.0856851
"child abuse"	0.0850077
discontent	0.0846645
sentiment	0.0844991
graft	0.0842623
"drug abuse"	0.0836948
arrogance	0.0827263
greed	0.081657
poverty	0.0815025
censorship	0.081214
imperialism	0.0811374
activism	0.0807209
nepotism	0.0803221
"crime wave"	0.0802148
cruelty	0.0799762
animosity	0.0797209
"tax evasion"	0.0791466
insecurity	0.0790494
cynicism	0.0788328
hunger	0.0787019
"drug trafficking"	0.0771677
aggression	0.0770282
totalitarianism	0.0769189
inhumanity	0.0765127
crime	0.0759529
tension	0.075855
jealousy	0.0753543
misogyny	0.0749533
"organized crime"	0.0747313
mistrust	0.0745386
sectarianism	0.0744384
bitterness	0.0742533
looting	0.0742207
patriotism	0.0739253
piracy	0.073723
blasphemy	0.073639
hysteria	0.0731141
indifference	0.0730697
unrest	0.0730159
intimidation	0.0723979
radicalism	0.0721986
incompetence	0.0721661
colonialism	0.0721047
neglect	0.0714676
"foul play"	0.0714176
victimization	0.0713766
insensitivity	0.0713369
kidnapping	0.0708926
pessimism	0.0708681
behavior	0.0706948
"election fraud"	0.0706671
emotion	0.0700387
vandalism	0.06999
instability	0.0699285
torture	0.069726
bribery	0.0694578
smuggling	0.0694305
terror	0.0693212
misconduct	0.0691386
plagiarism	0.0689855
"double standard"	0.0689522
misbehavior	0.0688608
mistreatment	0.0687837
espionage	0.0686651
incitement	0.0685761
communism	0.0685494
poaching	0.0681467
genocide	0.0678626
prostitution	0.0677821
fraud	0.0677354
holocaust	0.0676314
thuggery	0.0669643
dissent	0.0664737
antagonism	0.0664132
exclusion	0.0662713
joblessness	0.066162
infidelity	0.065934
regionalism	0.0658907
religiosity	0.0658546
subversion	0.0657744
"insider trading"	0.0654925
anxiety	0.065398
"drug problem"	0.0653216
conservatism	0.0652458
homelessness	0.0651077
provocation	0.0645546
unemployment	0.0643764
"drug addiction"	0.0643696
religion	0.0643023
expansionism	0.0642987
illiteracy	0.0642852
apathy	0.0641838
evil	0.0640928
inequity	0.0639603
"price pressure"	0.0638933
theft	0.063843
favoritism	0.0638238
mismanagement	0.0637199
maltreatment	0.0635403
epidemic	0.0634686
atrocity	0.063395
outrage	0.0633916
dissatisfaction	0.0632821
"securities fraud"	0.0632556
dishonesty	0.0631628
rage	0.0631422
authoritarianism	0.0631204
loyalty	0.063116
polygamy	0.0629903
unease	0.0628362
rape	0.0628299
impropriety	0.0627959
conflict	0.0627674
spirituality	0.0625635
cowardice	0.062438
chauvinism	0.0623605
selfishness	0.0623507
malice	0.0622774
feeling	0.0617417
stereotype	0.0616729
immorality	0.0614994
suspicion	0.0614539
rivalry	0.0612049
disrespect	0.0610952
vote-buying	0.0610384
trafficking	0.0608423
militancy	0.0606938
pride	0.0606537
passion	0.0605915
killing	0.0605254
malnutrition	0.0604586
"mass murder"	0.0603654
bloodshed	0.0600547
attitude	0.0600295
inflation	0.0599778
intransigence	0.0599548
criticism	0.0598172
liberalism	0.0598079
apartheid	0.0598042
misdeed	0.0597844
rebellion	0.059773
deception	0.0597673
ideology	0.0596979
complicity	0.05935
immigration	0.0592988
barbarity	0.0591885
polarization	0.0591836
Capitalism	0.0590213
compassion	0.0588486
frustration	0.0588138
negativity	0.0587938
incest	0.0587186
))
(antibiotic (desc 26687.9) (sims
medication	0.2126
AZT	0.187001
Vaccine	0.180956
drug	0.178048
medicine	0.167855
painkiller	0.159978
therapy	0.154354
pill	0.154227
pesticide	0.148336
antihistamine	0.147031
chemotherapy	0.141655
inhibitor	0.139149
vitamin	0.137217
aspirin	0.137039
steroid	0.13635
hormone	0.134265
herbicide	0.133265
penicillin	0.132492
chemical	0.126767
insulin	0.120272
viagra	0.117317
tranquilizer	0.115317
insecticide	0.114701
"prescription drug"	0.114233
sedative	0.113648
treatment	0.112979
contraceptive	0.112932
tamoxifen	0.11151
"sleeping pill"	0.111107
estrogen	0.108809
Ritalin	0.108214
placebo	0.107871
Prozac	0.107229
interferon	0.106578
supplement	0.106312
ENBREL	0.105641
Celebrex	0.105099
methadone	0.104353
vaccination	0.104337
anti-inflammatory	0.104211
Herceptin	0.103291
morphine	0.101348
Rezulin	0.100896
Zoloft	0.100716
opiate	0.100518
"growth hormone"	0.100449
dose	0.0994375
substance	0.0994023
anesthetic	0.0987391
"human growth hormone"	0.0979039
laxative	0.0973026
Endostatin	0.0961942
Relenza	0.0957608
stimulant	0.0950382
antibody	0.0949877
additive	0.0943316
remedy	0.0933609
fungicide	0.0932294
syringe	0.0931045
prescription	0.091862
radiation	0.0915987
cure	0.0914109
diuretic	0.0913539
EPO	0.0901048
alcohol	0.0899843
antioxidant	0.0888272
toxin	0.0883915
inhaler	0.0874234
LIPITOR	0.0860577
spray	0.0859181
pharmaceutical	0.085613
Avonex	0.0855324
protein	0.0844783
fertilizer	0.0844083
thalidomide	0.0841607
acupuncture	0.0841143
ointment	0.0840071
injection	0.0836023
"chemical compound"	0.0830854
marijuana	0.0820869
Valium	0.081958
regimen	0.0813421
enzyme	0.0811743
fluid	0.0809163
amphetamine	0.0794124
antacid	0.0790642
TPA	0.0787985
product	0.0782878
food	0.0781095
herb	0.0779389
Claritin	0.0778516
condom	0.0777809
Propulsid	0.0777776
"food additive"	0.0777268
androstenedione	0.0774875
preservative	0.0770166
transplant	0.0768549
nutrient	0.0767146
blocker	0.0764954
Diet	0.0762287
ibuprofen	0.0761813
Zyvox	0.0747485
disinfectant	0.0747032
method	0.0746236
creatine	0.0743428
nevirapine	0.074239
Tylenol	0.0741123
tablet	0.0739393
equipment	0.0736566
psychotherapy	0.0735535
kit	0.0732727
poison	0.0727193
cocktail	0.0724467
technique	0.0724271
bacteria	0.0723695
dosage	0.0715163
mifepristone	0.07114
fuel	0.0709696
melatonin	0.0708829
cortisone	0.0708781
foodstuff	0.0701656
Paxil	0.0700307
device	0.0697397
care	0.0693585
material	0.0692992
oxygen	0.069279
virus	0.0691423
weapon	0.0690641
procedure	0.0687262
tool	0.0679182
mineral	0.0676923
RU-@@@	0.0674897
laser	0.0672522
surgery	0.0668174
firearm	0.0666606
ingredient	0.0666042
implant	0.0664005
leptin	0.0663552
Prilosec	0.06633
anesthesia	0.0661601
germ	0.0660779
cannabis	0.0654625
"electric shock"	0.0654614
testosterone	0.0652152
Phentermine	0.0650139
"building material"	0.064594
narcotic	0.0643504
counseling	0.0642413
"raw material"	0.0642129
needle	0.0641351
Chemo	0.0637542
"medical care"	0.0636118
"blood test"	0.0635665
Gene	0.0634786
technology	0.0634353
radiotherapy	0.0632863
caffeine	0.0632773
heroin	0.0628023
Epogen	0.0627518
ultrasound	0.0627088
Erythropoietin	0.0621833
"food product"	0.0621451
acetaminophen	0.0620402
fiber	0.0617821
hospitalization	0.0617763
disease	0.0615677
"household appliance"	0.0613758
"physical therapy"	0.0613413
"electronic device"	0.0609707
ammunition	0.0605512
"spare part"	0.060417
infection	0.0599474
"surgical procedure"	0.0599062
cocaine	0.0594196
pacemaker	0.0593796
GHB	0.0591951
sheeting	0.0591272
"computer program"	0.0588112
machinery	0.0586959
instrument	0.0586206
"medical instrument"	0.058593
acid	0.0584951
"genetic engineering"	0.0582658
MTBE	0.058261
"prescription medicine"	0.0582476
transfusion	0.0579706
Contraception	0.0579378
"chemical agent"	0.0578668
"software package"	0.0577463
"consumer goods"	0.0577093
solvent	0.0576178
nutrition	0.0575604
goods	0.0575284
fungus	0.0572967
"contact lense"	0.0572808
Xenical	0.0572782
andro	0.0572169
blood	0.0571669
Liquid	0.0571554
explosive	0.0570042
))
(antibody (desc 12643.6) (sims
enzyme	0.175465
protein	0.156843
Endostatin	0.145204
Vaccine	0.136488
hormone	0.125192
antigen	0.123735
molecule	0.122882
"blood cell"	0.12219
toxin	0.119248
virus	0.117174
T-cells	0.117077
receptor	0.112264
mutation	0.110798
EPO	0.110747
"chemical compound"	0.110247
Gene	0.109926
leptin	0.108033
angiostatin	0.107351
inhibitor	0.10634
telomerase	0.105194
"amino acid"	0.0979348
cell	0.0975746
DNA	0.0956289
"white blood cell"	0.0956086
antibiotic	0.0949877
"free radical"	0.0933767
drug	0.0932912
"AIDS virus"	0.0927758
bacteria	0.0927525
substance	0.0921211
hemoglobin	0.0918014
antioxidant	0.0908775
AZT	0.0886686
HIV	0.0885176
steroid	0.0876844
hGH	0.0874939
"growth hormone"	0.0867936
isotope	0.0866531
PSA	0.0862678
insulin	0.0858538
chemical	0.0843066
testosterone	0.0830853
p@@	0.0828969
estrogen	0.0811552
"human growth hormone"	0.0798367
"T cell"	0.0796159
interferon	0.0786736
bacterium	0.0784022
Erythropoietin	0.0769005
nandrolone	0.0766852
abnormality	0.0760642
peptide	0.0759636
cholesterol	0.075914
contaminant	0.0758898
"electric current"	0.0745015
therapy	0.074149
dopamine	0.0738725
Herceptin	0.073511
"brain cell"	0.0729589
"cancer cell"	0.0726293
pesticide	0.07198
hepatitis	0.0719708
nevirapine	0.0716954
pathogen	0.0713311
infection	0.0711797
glucose	0.0708709
tumor	0.0701942
ENBREL	0.0688467
insecticide	0.0674145
"embryonic cell"	0.067203
tritium	0.0670248
alcohol	0.0664475
"computer program"	0.0664428
germ	0.0659902
contamination	0.0657256
plutonium	0.0655345
"nerve gas"	0.065409
"surveillance system"	0.0653884
impurity	0.0653554
pigment	0.0652672
oxygen	0.0650963
Calcium	0.0647345
tissue	0.0646265
disease	0.0645204
acid	0.0645045
"UNIX operating system"	0.0640001
antifreeze	0.0638159
organism	0.063764
fungus	0.0637267
"chemical agent"	0.0636446
melatonin	0.0632716
tamoxifen	0.0626012
coli	0.0624159
"red blood cell"	0.0623539
diuretic	0.0622745
listeria	0.0621601
pseudoephedrine	0.0616694
particle	0.0613049
implant	0.0612809
"fatty acid"	0.0607588
ultrasound	0.0606808
RNA	0.0605866
fiber	0.0605687
microbe	0.0604461
medication	0.0603586
transfusion	0.060333
collagen	0.0600533
"atom bomb"	0.0595217
parasite	0.0592516
clot	0.0591939
"hepatitis B"	0.0591476
medicine	0.0589911
Embryo	0.0586267
angiogenesis	0.0585854
cancer	0.058408
carcinogen	0.0583721
compound	0.0582512
amphetamine	0.0582338
platelet	0.0581824
nutrient	0.0578181
"rocket engine"	0.0577804
cocaine	0.0577021
Rabies	0.0576734
marijuana	0.0572371
mineral	0.0567117
penicillin	0.0567085
chromosome	0.056518
residue	0.056513
additive	0.0564505
blood	0.056444
allergy	0.0563461
radioactivity	0.0562915
asbestos	0.0561994
bacillus	0.0560662
sensor	0.0557816
carbohydrate	0.0555097
mechanism	0.055399
"neutron bomb"	0.0553779
"blood test"	0.0553231
placebo	0.0550891
defect	0.0550619
immunity	0.055047
ozone	0.0547523
CFCs	0.0545728
neuron	0.0545259
poison	0.0545062
chlorine	0.0545002
"explosive device"	0.0541892
serotonin	0.0541424
vitamin	0.0540787
"software product"	0.0539536
encephalitis	0.0537659
"subatomic particle"	0.0536633
"programming language"	0.0536002
"malignant tumor"	0.0534899
stimulant	0.053467
"electronic device"	0.0530646
prototype	0.053061
fungicide	0.0529678
resistance	0.0529276
radium	0.0528787
salmonella	0.0528732
"lung cancer"	0.0527542
VX	0.0527408
"magnetic field"	0.0526801
melanoma	0.0524809
painkiller	0.052432
anthrax	0.0523243
gallstone	0.0523144
anti-inflammatory	0.052289
circuitry	0.0522116
laser	0.0520868
microorganism	0.052073
gas	0.0520125
starch	0.0520114
sperm	0.0519132
"blood vessel"	0.0519058
"organic compound"	0.0516984
herbicide	0.0515684
hydrocarbon	0.0515679
tuberculosis	0.0513849
symptom	0.051302
ephedrine	0.0512859
"memory chip"	0.0509582
Dolly	0.0508986
filter	0.0507935
radiation	0.0507789
smog	0.0507399
anemia	0.0507396
influenza	0.0507039
methamphetamine	0.0506975
antihistamine	0.0506467
"bone marrow"	0.0505457
firewalls	0.0502824
"vitamin E"	0.0502516
capsaicin	0.0502482
"carbon monoxide"	0.0501956
narcotic	0.0501432
mice	0.0501224
"vitamin A"	0.0501094
))
(antic (desc 21449.9) (sims
behavior	0.0832336
humor	0.0820305
shenanigan	0.0789903
stunt	0.0747121
banter	0.0731302
escapade	0.0729161
demeanor	0.0708738
exploit	0.0678648
"high jinks"	0.0666825
joke	0.0622222
gag	0.0619094
remark	0.0617161
indiscretion	0.0616275
persona	0.0585714
theatrics	0.0581532
outburst	0.0580835
rhetoric	0.0572999
gimmick	0.0572768
personality	0.0567224
tactic	0.0561346
trick	0.0551881
hijinks	0.0549708
comedy	0.0538461
transgression	0.0536604
tirade	0.0532833
misadventure	0.052074
silliness	0.0516734
tale	0.0514366
fantasy	0.0509127
misbehavior	0.0500179
farce	0.0497814
hyperbole	0.0497237
heroics	0.0495732
prank	0.0494154
portrayal	0.0488402
adventure	0.0486528
spectacle	0.0483939
costume	0.0483847
mannerism	0.0482525
bickering	0.0472465
candor	0.0470457
gaffe	0.0469134
caricature	0.0468812
charisma	0.0464337
manner	0.0462042
"sense of humor"	0.0461389
tantrum	0.0459582
"sight gag"	0.0456744
subplot	0.0454176
slapstick	0.0453151
shtick	0.0450344
outtakes	0.0449041
satire	0.0443909
charm	0.0442944
brawl	0.0441424
depiction	0.0438781
accusation	0.043834
one-liner	0.0437393
tryst	0.0434656
accomplishment	0.0433871
talent	0.0433739
notion	0.0432948
episode	0.0431531
infidelity	0.0431008
emotion	0.0427761
imagery	0.0426869
passion	0.0424668
obsession	0.0424592
misdeed	0.0423855
drama	0.0423369
routine	0.0420821
behaviour	0.0420026
"body language"	0.0419667
ploy	0.0419436
excess	0.0419004
dalliance	0.0418466
gamesmanship	0.0416862
nonsense	0.0415669
eccentricity	0.0414579
patter	0.0414547
wit	0.0414401
lyric	0.0413374
exuberance	0.0412717
"plot line"	0.0411878
skit	0.0410131
riff	0.0409581
histrionics	0.0406224
mayhem	0.0405971
gyration	0.0405029
animation	0.0404617
absurdity	0.0403877
acrobatics	0.0403799
beauty	0.0401281
sendup	0.0400658
))
(Antichrist (desc 2848.58) (sims
Messiah	0.0789159
"test-tube baby"	0.0669532
"Deep Throat"	0.0605704
"Jesus Christ"	0.0568134
Christ	0.0553959
oppressor	0.0467766
Shariah	0.0444492
"Roman Empire"	0.0438463
septuplets	0.043845
archenemy	0.0420964
hostage-takers	0.0415649
turncoat	0.0413369
))
(anticipation (desc 42204.5) (sims
wake	0.127392
excitement	0.123678
fear	0.106174
expectation	0.102807
likelihood	0.100281
hope	0.0998721
spite	0.0896287
enthusiasm	0.0869665
anxiety	0.0869271
possibility	0.0832572
speculation	0.0829805
brunt	0.0819135
dread	0.0779372
optimism	0.0763697
joy	0.0760358
frustration	0.0756631
aftermath	0.0745644
apprehension	0.074562
euphoria	0.0741351
advance	0.0739935
disbelief	0.0733083
prospect	0.0732287
rumor	0.0727587
anger	0.07263
midst	0.0726186
intensity	0.0718055
exhilaration	0.0715895
emotion	0.0715626
suspense	0.0713616
sadness	0.0709999
uncertainty	0.0707054
nervousness	0.0678907
eve	0.0675692
timing	0.0674258
spate	0.0652007
preparation	0.0643632
sense	0.064186
impact	0.0629781
response	0.0627789
shock	0.0627017
passion	0.0626574
hype	0.0625527
tension	0.0623342
heel	0.0622673
resentment	0.0610845
worry	0.0608059
feeling	0.0601387
prediction	0.059819
disappointment	0.0596187
pain	0.0592262
confusion	0.0591193
panic	0.0583224
desperation	0.0583142
trepidation	0.0582669
disgust	0.0579608
admiration	0.0579313
celebration	0.057905
distrust	0.0578106
awe	0.0577626
curiosity	0.0577486
favor	0.0575852
news	0.0572777
light	0.0571534
despair	0.0571416
sorrow	0.0569155
consequence	0.0568689
inevitability	0.0567608
urgency	0.0562981
frenzy	0.0557858
mistrust	0.0555393
announcement	0.0549217
unease	0.0548917
pride	0.0547366
bewilderment	0.0546394
effect	0.0545833
defiance	0.0545451
sympathy	0.0544236
confidence	0.0542638
mood	0.0540015
wave	0.0539773
volatility	0.053937
spontaneity	0.0536602
flurry	0.0535782
awareness	0.0534443
reaction	0.053369
delight	0.053162
happiness	0.0529124
amazement	0.0527377
skepticism	0.0526998
uneasiness	0.0526352
Exhaustion	0.0520024
pessimism	0.0519987
significance	0.0519749
outrage	0.0518519
momentum	0.0517595
suspicion	0.0515471
paranoia	0.051538
thrill	0.0515326
bitterness	0.0513128
probability	0.051267
implication	0.0511785
memory	0.0510888
anguish	0.0510276
grief	0.0507763
magnitude	0.0505257
nostalgia	0.0504489
appreciation	0.0503551
pleasure	0.0501969
strength	0.0499913
horror	0.0499135
laughter	0.0497044
postponement	0.049643
loneliness	0.0495769
absence	0.0495658
acceptance	0.0494084
agony	0.0492833
astonishment	0.0492131
sentiment	0.0490417
disapproval	0.0490026
certainty	0.0489933
satisfaction	0.0489423
fury	0.0487941
indication	0.0485966
jubilation	0.0482379
danger	0.0481849
desire	0.0481473
atmosphere	0.0481429
intrigue	0.0478848
affection	0.047882
irony	0.0477308
terror	0.0475716
disillusionment	0.0474279
exuberance	0.0473749
recognition	0.0472312
detail	0.0470639
perception	0.0469714
unpredictability	0.0468794
determination	0.0468324
fervor	0.0467301
gratitude	0.0466858
pace	0.046647
criticism	0.0465955
alienation	0.0465567
reverence	0.0465454
doubt	0.0465406
specter	0.0463993
drama	0.0463937
warmth	0.0463324
coverage	0.0462098
hint	0.0461635
risk	0.0461356
threat	0.0461304
glee	0.0460244
spirit	0.0459434
buzz	0.045844
chaos	0.0456117
longing	0.0456069
solemnity	0.045385
"New Wave"	0.0452953
ambition	0.0452528
continuation	0.0452201
discontent	0.0452023
string	0.0451955
outpouring	0.0451402
accordance	0.0451262
fascination	0.0450218
acceleration	0.0448879
thought	0.0448148
harbinger	0.0447664
severity	0.0447557
cynicism	0.0447551
ambivalence	0.0446707
ramification	0.0445023
insecurity	0.0443826
reality	0.0443189
energy	0.0442673
scope	0.0442021
camaraderie	0.0441735
hysteria	0.0440313
eagerness	0.0440098
sophistication	0.0440054
combination	0.0439213
humor	0.0438577
apathy	0.04383
rejection	0.0436304
"first day"	0.0435869
cancellation	0.0435282
adrenaline	0.043503
importance	0.0434635
chance	0.0434212
sort	0.0433582
animosity	0.0430644
jitters	0.0429976
preview	0.042982
seriousness	0.0427627
pity	0.0427285
verge	0.0426733
rivalry	0.0426088
pursuit	0.0426076
warning	0.042586
))
(anticlimax (desc 1161.08) (sims
unreality	0.15038
invincibility	0.142928
inevitability	0.120029
misnomer	0.117371
oversimplification	0.106463
overstatement	0.10302
nonevent	0.100927
foreboding	0.096626
"deja vu"	0.0965485
understatement	0.0964455
levity	0.0945451
giddiness	0.093291
irrelevance	0.0896286
spontaneity	0.0886231
letdown	0.0884609
hopefulness	0.0876754
enigma	0.083804
"identity crisis"	0.0828862
normalcy	0.0818298
"civic pride"	0.0797099
paradox	0.0791343
expedient	0.0787736
vindication	0.0786401
individualist	0.0781807
anachronism	0.0772701
bewilderment	0.0771356
permanence	0.0759642
hopelessness	0.0747926
conundrum	0.0747772
epiphany	0.0744837
no-brainer	0.0739901
finality	0.073788
powerlessness	0.0737195
normality	0.0735233
bedfellow	0.0721222
hiccup	0.0716001
weariness	0.0715615
self-worth	0.0714336
"hot potato"	0.070775
oxymoron	0.0706425
stillness	0.0703815
afterthought	0.0702824
self-satisfaction	0.0698826
self-deprecation	0.0691736
sideshow	0.0686326
orator	0.0679562
calmness	0.0675521
anomaly	0.067227
FOP	0.066863
recluse	0.066859
"Christmas present"	0.066594
inferiority	0.0663683
culpa	0.0661048
connectedness	0.0655827
exhilaration	0.0655307
derring-do	0.065483
travesty	0.0651817
playfulness	0.06517
oddity	0.0650864
tranquillity	0.0647812
desolation	0.0646849
fatalism	0.0642161
kinship	0.06371
"civic duty"	0.0635959
"wonder drug"	0.0632874
timelessness	0.0630972
wonderment	0.0629959
puzzlement	0.0628986
astonishment	0.0627512
AHA	0.0624315
ordinariness	0.0620551
discouragement	0.0616017
coincidence	0.0607903
"extension cord"	0.0604637
verisimilitude	0.0603803
formality	0.060233
turnabout	0.0601588
"growth industry"	0.0599924
foretaste	0.0598366
fullness	0.0598105
inquisitor	0.0596301
"unfinished business"	0.0594969
absolution	0.059347
togetherness	0.0585143
trepidation	0.0582422
complacency	0.0578151
enchantment	0.0568494
"window dressing"	0.0564062
"poker game"	0.056142
femininity	0.0560276
breather	0.0560026
underachiever	0.0559767
"waiting game"	0.0559592
frivolity	0.0558698
"time scale"	0.0557903
nonchalance	0.0557709
freshness	0.0557033
singularity	0.0554051
dilettante	0.0551875
lark	0.0551545
poignancy	0.0548243
"Wild Man"	0.0547797
reassurance	0.054757
wunderkind	0.0547141
epilogue	0.0547053
theatricality	0.0546333
whimsy	0.0545386
Maurier	0.0542283
silliness	0.054143
overkill	0.0539719
bemusement	0.0539461
"adventure story"	0.0539364
sidelight	0.0539332
reverence	0.0538477
tranquility	0.0538333
emptiness	0.0538169
guesswork	0.0536972
juxtaposition	0.0534606
inattention	0.0532476
heretic	0.0531017
fluke	0.0529447
generalization	0.0529197
altruism	0.0528335
"popularity contest"	0.0527155
Truism	0.0524322
traditionalism	0.0520253
self-pity	0.0516704
symmetry	0.051529
zeitgeist	0.0514879
exaggeration	0.0512071
give-and-take	0.051203
vagabond	0.0511338
aberration	0.0509055
denouement	0.0508858
oneness	0.0508807
disorientation	0.0508277
condescension	0.0506546
wholeness	0.05046
payback	0.0504098
coronation	0.0503512
rejoicing	0.0502609
validation	0.0502053
mumbo-jumbo	0.0501732
dichotomy	0.0501681
"wishful thinking"	0.0500681
realignments	0.0500097
prankster	0.0498764
wistfulness	0.0498675
sameness	0.0495337
equanimity	0.0493734
self-importance	0.0492201
self-awareness	0.0491368
witticism	0.0488868
"news event"	0.04882
"Day @"	0.0488136
pomposity	0.0487907
alchemy	0.0485297
zinger	0.0484496
sensationalism	0.0484182
rectitude	0.048365
"inferiority complex"	0.0481829
canard	0.0481346
one-upmanship	0.0481014
screed	0.0480016
miscalculation	0.0479722
"birthday present"	0.0478144
lunacy	0.0477336
"parlor game"	0.0476681
contraption	0.047436
elation	0.0474012
continuum	0.0471447
Jewishness	0.0470542
gimmickry	0.0469968
overvaluation	0.0469907
overconfidence	0.0469822
happenstance	0.0469116
self-preservation	0.0468955
disquiet	0.0468938
helplessness	0.0468608
"Holy Grail"	0.0467272
obeisance	0.0465493
"trial balloon"	0.0464684
unpredictability	0.0464518
hodgepodge	0.0461706
hyperbole	0.0460254
rarest	0.0460214
craziness	0.0460123
"turn of events"	0.0458999
reverie	0.0457667
weirdo	0.0456402
band-aid	0.0455731
magnificence	0.0455724
equilibrium	0.0455232
apparition	0.0454253
punchline	0.0454125
"sour grapes"	0.0453955
wrapup	0.0453045
solemnity	0.0452989
seclusion	0.0452842
"birthday card"	0.0451647
))
(antidote (desc 17382.6) (sims
corrective	0.0900034
cure	0.0849069
remedy	0.0786629
counterpoint	0.0747549
alternative	0.0696154
deterrent	0.0674886
complement	0.0652235
panacea	0.0641756
solution	0.0627496
testament	0.0622367
contrast	0.0614163
counterbalance	0.0611199
Vaccine	0.0610821
counterweight	0.0609037
throwback	0.0602832
antibiotic	0.0568804
clue	0.0558357
precursor	0.0540435
Tonic	0.0530949
reference	0.0528187
"stepping stone"	0.0517226
affront	0.0514643
adjunct	0.051
antihistamine	0.050275
reminder	0.0500365
"quick fix"	0.049564
exposure	0.0485722
therapy	0.0482964
"test case"	0.0479505
painkiller	0.0478798
antibody	0.0478431
credence	0.0475863
prelude	0.0474126
prerequisite	0.0462494
"breeding ground"	0.0461765
ENBREL	0.0457873
tranquilizer	0.0456608
boon	0.0452265
roadmap	0.0451042
metaphor	0.0450352
catharsis	0.0448641
elixir	0.0447074
contrary	0.0446619
prey	0.0446208
tribute	0.0444031
allusion	0.0441955
countermeasure	0.0441695
inhibitor	0.0440186
"measuring stick"	0.0440049
catalyst	0.0439604
aversion	0.0437066
rebuttal	0.0434667
steppingstone	0.0434594
"silver lining"	0.0431507
impediment	0.0427966
proof	0.0424378
compliment	0.041841
resistance	0.041676
"role model"	0.0416207
omen	0.0415507
potion	0.0411064
"side dish"	0.0410992
inspiration	0.041047
stimulus	0.0410159
pill	0.0408367
AZT	0.0407105
downside	0.0403937
shortcut	0.0401971
"road map"	0.0401472
))
(antifreeze (desc 1740.51) (sims
electrolyte	0.128689
p@@	0.104666
telomerase	0.0998037
chlorine	0.0927149
angiostatin	0.0867982
eggnog	0.0846583
absinthe	0.0828254
"air filter"	0.0810646
hemoglobin	0.0808752
laxative	0.078492
herbicide	0.0767209
"ice water"	0.0759557
"soda pop"	0.0746416
antiseptic	0.0741198
iodine	0.0720148
olestra	0.0664758
"well water"	0.0662304
"cranberry juice"	0.0655845
"motor oil"	0.0648755
"mineral water"	0.0645481
"rocket fuel"	0.0641156
antibody	0.0638159
radiator	0.0637424
caffeine	0.0616765
"apple juice"	0.0616301
lubricant	0.0591759
fizz	0.0589654
collagen	0.0584345
glucose	0.0573309
clot	0.0567428
turpentine	0.0567343
clotting	0.056665
"food additive"	0.0563441
insecticide	0.0558352
peptide	0.0554671
methanol	0.0554436
ammonia	0.055078
fluoride	0.0547927
"electric current"	0.0542133
"chemical compound"	0.0541056
automaton	0.0535157
urine	0.052927
"green tea"	0.0528244
"tap water"	0.0527741
"tomato juice"	0.0526203
matzoh	0.0525779
Jellyfish	0.0523979
cyanide	0.0517127
toxin	0.0515051
receptor	0.0514852
"iced tea"	0.0511333
enzyme	0.0509629
"spark plug"	0.0508896
hGH	0.0508686
adhesion	0.0504472
disinfectant	0.0498801
catheter	0.049712
cheesecloth	0.0494332
"fruit juice"	0.0493725
GHB	0.0493517
kava	0.049276
"tuna fish"	0.0488325
transporter	0.0487198
"diesel fuel"	0.0486812
Kool-Aid	0.048681
antioxidant	0.0486495
"laundry detergent"	0.0481962
fungicide	0.0476987
slurry	0.0474182
"diesel oil"	0.0470438
cleanser	0.046949
Endostatin	0.0468783
"roughly @@@,@@@"	0.0467937
capacitor	0.0466939
"Diet Coke"	0.0465811
sawdust	0.0460373
interferon	0.0459706
"orange juice"	0.0459147
"suspension system"	0.0458698
dopamine	0.0458677
coolant	0.0455025
gunk	0.0454723
serum	0.0452702
formaldehyde	0.0451836
effluent	0.0451265
cellulose	0.0450413
insulin	0.04503
bourbon	0.0449066
bacterium	0.0448633
RNA	0.0446829
Bellini	0.0441182
"work camp"	0.0435797
"canned goods"	0.043336
Gatorade	0.0432765
lactose	0.043209
"battering ram"	0.0428731
beta	0.0427738
"baking soda"	0.0427389
radioactivity	0.0426702
hydrogen	0.0426292
signaling	0.0425802
"human growth hormone"	0.0425722
"hydrogen sulfide"	0.042491
"Dom Perignon"	0.0422974
hydrocarbon	0.042126
band-aid	0.0421219
"amino acid"	0.0419287
oomph	0.0419049
contaminant	0.041893
"Coca Cola"	0.0416129
"red blood cell"	0.0415415
EPO	0.0413542
"electrical device"	0.041209
"beam of light"	0.0411741
MG	0.0410917
sweetener	0.0407254
hedgehog	0.0407207
stethoscope	0.0406982
"root beer"	0.0405823
"nitric acid"	0.0401604
Masa	0.0401264
"cooking oil"	0.0400407
))
(antigen (desc 3503.7) (sims
PSA	0.140964
enzyme	0.133649
antibody	0.123735
homocysteine	0.120033
hemoglobin	0.115499
hGH	0.0999388
receptor	0.0997768
EPO	0.0994169
peptide	0.0974919
polygraph	0.0951792
"amino acid"	0.0925125
glucose	0.0919998
"free radical"	0.0901971
protein	0.0900899
"blood sugar"	0.089743
Radon	0.0889529
leptin	0.0886281
dopamine	0.0881989
pathogen	0.0834732
p@@	0.0827273
"growth hormone"	0.0827057
RNA	0.0816664
Gene	0.0810509
"organic compound"	0.0803957
insulin	0.0786669
DNA	0.0783635
neurotransmitter	0.0773289
microorganism	0.0766871
MCAS	0.0762534
Endostatin	0.0734447
molecule	0.0729745
melatonin	0.0726593
toxin	0.0721423
testosterone	0.0715698
impurity	0.0706216
"human growth hormone"	0.0703631
isotope	0.0698463
bacterium	0.069814
mutation	0.0693451
nodule	0.0693176
estrogen	0.0677804
LDL	0.0676475
antioxidant	0.0672242
"cancer cell"	0.0668807
"magnetic resonance imaging"	0.0668687
hormone	0.0664618
"chemical compound"	0.0659374
radioactivity	0.0658522
allergen	0.0658217
toxicity	0.0657768
carbohydrate	0.0644582
"hydrogen sulfide"	0.0642121
Erythropoietin	0.0641478
Herceptin	0.0641036
"atom bomb"	0.0640905
"fatty acid"	0.0631213
salmonella	0.0623622
carcinogen	0.061827
"T cell"	0.0613181
serotonin	0.0608854
cholesterol	0.0602955
tumor	0.0601207
benzene	0.0596187
microbe	0.0588278
bacteria	0.0586538
"cancer death"	0.0585204
lesion	0.058501
cryptosporidium	0.0581432
fluoride	0.0575083
biopsy	0.0572501
adenovirus	0.0571032
nandrolone	0.0570195
"blood cell"	0.0567507
penicillin	0.0567505
arsenic	0.0567184
"nitrogen dioxide"	0.0566241
"wind tunnel"	0.0565866
angiostatin	0.0564961
contaminant	0.0558637
salinity	0.0549905
"life form"	0.0547498
MTBE	0.0546409
preventive	0.0545714
proficiency	0.054505
malignancy	0.0537771
abnormality	0.0537073
chlorine	0.053624
odor	0.0533281
polyp	0.0532206
"vitamin E"	0.053165
diode	0.0530701
CFCs	0.052646
HIV	0.0526287
"red blood cell"	0.0523601
"carbon monoxide"	0.0520284
"piece of music"	0.0516235
inhibitor	0.0514625
ultrasound	0.051357
organism	0.0513387
pesticide	0.0511487
Toxicology	0.050623
"Y chromosome"	0.0505862
"blood type"	0.0503262
steroid	0.0500538
"gamma ray"	0.0498895
germ	0.0498555
anesthetic	0.0497599
quark	0.049386
asbestos	0.0493568
nitrogen	0.0493381
androstenedione	0.0491859
parasite	0.0490253
acid	0.0489968
sedative	0.0486554
radiation	0.0484945
SNPs	0.0484113
"more than @@@ million tons"	0.0484052
"solar radiation"	0.0483279
competency	0.0482363
"animal fat"	0.048236
HDL	0.0481488
Phentermine	0.0481424
THAAD	0.0480593
"radio frequency"	0.0480272
collagen	0.047801
"electric current"	0.047797
sodium	0.0476566
hydrocarbon	0.047654
overvaluation	0.047576
"chemical agent"	0.0474697
nitrate	0.0474636
injector	0.0472737
oxygen	0.0471368
aperitif	0.0469897
opiate	0.0469424
contraband	0.0467312
NMD	0.0464085
"geographical area"	0.0462798
ammonia	0.046051
olestra	0.045977
MRI	0.0459104
pollen	0.0456271
particle	0.0456084
"nitrous oxide"	0.0454219
methane	0.0454138
nevirapine	0.0453689
bacillus	0.045342
interferon	0.0452987
"accounting problem"	0.0452245
TAAS	0.0451562
folate	0.0451109
clotting	0.0450969
potassium	0.044891
"brain wave"	0.0447589
"ultraviolet radiation"	0.044564
stimulant	0.0444877
Play-Doh	0.0444723
giardia	0.0444497
"essential oil"	0.0444386
GHB	0.0442741
amphetamine	0.0442335
dioxins	0.0438828
"storm cloud"	0.0436263
NPLs	0.0435148
dioxin	0.043338
sulfur	0.0432324
"business line"	0.0431892
polymer	0.0431407
residue	0.0431272
calorie	0.0431261
nicotine	0.0430408
fungi	0.0429838
Taxol	0.0429747
electrolyte	0.0429476
andro	0.0428722
chromosome	0.0428702
stimuli	0.0427796
"carbon dioxide"	0.042678
Tendulkar	0.0426046
urine	0.0425599
"explosive device"	0.0424879
"engine failure"	0.0423667
listeria	0.0422765
coli	0.0422552
"sex hormone"	0.0422249
"vitamin C"	0.042093
LASIK	0.0419362
carbon	0.0417573
selenium	0.0416816
"nerve cell"	0.041603
"temperature change"	0.0415997
"boxing glove"	0.0415885
"folic acid"	0.0415799
Alpha	0.0415215
Nat	0.0414684
replication	0.0414644
"electrical device"	0.0412307
antihistamine	0.0410934
x-ray	0.0410851
asteroid	0.0410589
))
(Antigua (desc 7798.7) (sims
Dominica	0.192563
Grenada	0.181258
"St. Lucia"	0.179422
Martinique	0.163138
"St. Maarten"	0.155247
Barbados	0.143334
Belize	0.134904
Jamaica	0.128096
"Trinidad and Tobago"	0.127116
"Cayman Islands"	0.121156
Guadeloupe	0.120855
Aruba	0.119228
Bahamas	0.119114
"Dominican Republic"	0.118469
Montserrat	0.11735
"U.S. Virgin Islands"	0.109195
"St. Kitts"	0.10781
"El Salvador"	0.107004
Bermuda	0.105542
Honduras	0.103411
"Santo Domingo"	0.102457
"St. Vincent and the Grenadines"	0.101253
"Puerto Rico"	0.0987488
Guyana	0.0986201
Guatemala	0.0956603
"San Salvador"	0.0952767
Nicaragua	0.0948154
Suriname	0.0929197
"Costa Rica"	0.0926087
Hispaniola	0.090838
Guam	0.090469
Haiti	0.0900044
Panama	0.089344
"Antigua and Barbuda"	0.0890625
"St. Croix"	0.0868699
"Virgin Islands"	0.0864259
Salvador	0.0807342
"St. Vincent"	0.0805106
Bolivia	0.0803767
Anguilla	0.078974
CANCUN	0.0789655
"St. Kitts and Nevis"	0.0782343
"Guatemala City"	0.0771856
"Papua New Guinea"	0.0764578
"San Juan"	0.076382
"Netherlands Antilles"	0.0752307
Venezuela	0.0748366
Malta	0.0744355
"St. Thomas"	0.0743971
Nevis	0.0741623
Trinidad	0.0741054
Reykjavik	0.0738537
Tbilisi	0.0734689
"British Virgin Islands"	0.0727798
Moroni	0.0724322
curacao	0.0720879
"Central American country"	0.071758
Nassau	0.0712379
Vanuatu	0.071083
Ecuador	0.0698266
Taloqan	0.0694999
Luxembourg	0.0692098
Lhokseumawe	0.0679053
Iceland	0.0675677
Kuito	0.0656649
Vitoria	0.0655442
"Ciudad Juarez"	0.0648266
Sakhalin	0.064567
Vladikavkaz	0.064273
Honiara	0.0636228
Colombia	0.0633282
Mauritius	0.0633155
Jalalabad	0.0632991
Ghana	0.0627544
Medellin	0.0613523
Cebu	0.0613101
"Corpus Christi"	0.0611689
Kiribati	0.0608816
Ireland	0.0605155
Chatham	0.0605019
Almaty	0.0603419
Switzerland	0.0601924
Peru	0.0601866
Guadalajara	0.0600943
Katmandu	0.0600889
Peshawar	0.059985
Rabat	0.059724
ASHEVILLE	0.0592604
Xian	0.0590468
Bahrain	0.0585678
Durban	0.0584443
"New Zealand"	0.0582318
Ambon	0.058158
Caribbean	0.057897
Nauru	0.0578638
Argentina	0.0578028
Lucknow	0.0574763
Chile	0.0573759
Goma	0.0573607
Dushanbe	0.0572999
Helena	0.0571755
BRIGHTON	0.0571546
Fiji	0.0570308
Raleigh	0.0569701
"Cape Town"	0.0567569
SOFIA	0.056609
Boise	0.0565376
Eureka	0.056521
"Santa Fe"	0.0561958
Armenia	0.0560264
Merida	0.0560171
Asmara	0.0558382
Madagascar	0.0557272
Paraguay	0.0557239
Ensenada	0.0555583
Izmit	0.0554437
Skaneateles	0.0552458
"La Paz"	0.0552439
Gudermes	0.0551733
Kigali	0.0551506
"Sao Paulo"	0.0550834
Havana	0.0548434
Gibraltar	0.0548425
Windhoek	0.0548034
Granada	0.0546121
Uruguay	0.0545112
Cameroon	0.0544809
Mongolia	0.0542635
Palau	0.0542348
Wilmington	0.0542346
Frankfurt	0.0541864
Prague	0.0541229
Kyushu	0.0539831
Lima	0.0538298
Srinagar	0.0537323
"St. Martin"	0.0537172
"Palm Beach"	0.0536584
Portsmouth	0.0536036
Bilbao	0.0536021
Liechtenstein	0.0535083
Charleston	0.0534052
Dili	0.0532903
"Cape Verde"	0.0532269
Lumbini	0.0532124
Port-au-Prince	0.0531099
Amsterdam	0.0530541
Estonia	0.0529528
CARACAS	0.0528446
Krakow	0.0528311
Manado	0.0528054
Zanzibar	0.0528032
Managua	0.0527976
BRASILIA	0.0527711
Langkawi	0.0527078
Bujumbura	0.0526198
Macau	0.0526127
Santiago	0.0526025
Strasbourg	0.0525853
"Fort Worth"	0.052543
Murmansk	0.0524944
Mankulam	0.052444
"Quebec City"	0.0524186
Naples	0.0522951
Greenville	0.0522255
Chattanooga	0.0522052
STOCKHOLM	0.0521971
"Little Rock"	0.0521894
Moshi	0.0520744
Qatar	0.0519043
"United Arab Emirates"	0.0518758
Winston-Salem	0.0518532
"Des Moines"	0.0518111
Ashkelon	0.0517987
Cartagena	0.0517442
Akron	0.0516377
Istanbul	0.0514269
Laredo	0.0514128
BASEL	0.0513429
Tripoli	0.0512879
Youngstown	0.0512388
"Cook Islands"	0.0512267
Valparaiso	0.0512034
Belgium	0.0511851
"Solomon Islands"	0.0511736
Albany	0.0510932
Makhachkala	0.0510595
"Iowa City"	0.0507848
Sevastopol	0.0507577
Dakar	0.0507444
Huntsville	0.0507386
"Banja Luka"	0.0506652
Monaco	0.050654
Minsk	0.0505904
SEOUL	0.050567
BOGOTA	0.0505638
Berlin	0.0505248
Bulgaria	0.050439
Nagoya	0.0504269
Pretoria	0.0503456
BUCHAREST	0.050338
))
("Antigua and Barbuda" (desc 1041.43) (sims
"St. Kitts and Nevis"	0.197895
Dominica	0.168708
Vanuatu	0.160828
Guadeloupe	0.143961
Kiribati	0.129731
"St. Vincent and the Grenadines"	0.125242
"Cook Islands"	0.113858
Barbados	0.112855
"St. Lucia"	0.110576
Martinique	0.102314
"Netherlands Antilles"	0.100934
"St. Vincent"	0.0976366
Grenada	0.0926643
"Cape Verde"	0.0924482
"Lower Saxony"	0.0910276
"Trinidad and Tobago"	0.0891865
Antigua	0.0890625
Montserrat	0.0866377
"Papua New Guinea"	0.0834912
Hispaniola	0.0776119
Anguilla	0.0768781
Saxony	0.074474
Kedah	0.074401
"St. Kitts"	0.073902
Comoros	0.0708879
Tuvalu	0.0693363
Tonga	0.0676263
Surinam	0.0672954
"St. Martin"	0.0661484
Madagascar	0.0646557
"New South Wales"	0.0645092
Nevis	0.0632993
Seychelles	0.0631296
"St. Croix"	0.0629919
Belize	0.0613145
Nauru	0.0604975
Hesse	0.0600292
Guyana	0.0590337
"Solomon Islands"	0.0581476
"Gauteng Province"	0.0580509
Aruba	0.0580502
"Chavalit Yongchaiyudh"	0.057294
Karnataka	0.0572064
Golmud	0.0566356
Bougainville	0.0564333
Palau	0.055974
Slovakian	0.055785
"Marshall Islands"	0.0547619
PNG	0.0543151
Nunavut	0.0539357
Burley	0.0526101
"Virgin Islands"	0.0516178
Maharashtra	0.0509861
"P.V Narasimha Rao"	0.0509331
"Cayman Islands"	0.0500197
Benin	0.0493951
Maltese	0.0492076
"Warsaw Pact"	0.0491264
Hezb-i-Islami	0.0491241
"West Germany"	0.0491169
"New Guinea"	0.0490324
Niger	0.0487331
Tasmania	0.0486976
Guadalcanal	0.0486467
"United Republic of Tanzania"	0.0482483
Sakhalin	0.0481833
"Lagos State"	0.0479525
Sipadan	0.047706
Antioquia	0.0476087
Sarawak	0.0471001
Palawan	0.0469178
Kyushu	0.0467922
Kauai	0.0466443
"Caribbean Community"	0.0464065
PSV	0.0463782
"Vladimir Meciar"	0.0460305
Maldives	0.0457371
Guernsey	0.0456163
"Canadian International Development Agency"	0.045399
"ASEAN Secretariat"	0.0453598
Johor	0.0446831
Qom	0.0445715
Orissa	0.0444128
"West Bengal"	0.0443335
Langkawi	0.0440934
Flanders	0.0437667
"Mark Knowles"	0.0437018
Lorillard	0.0431893
EX-COMMUNISTS	0.0428529
Selangor	0.0427873
"Western Cape"	0.0418185
Hokkaido	0.0414431
"New Caledonia"	0.0413745
Moroni	0.0407644
"Slovak Republic"	0.0405023
"St. Helena"	0.0402998
"Western Australia"	0.0401436
))
(antihero (desc 3675.41) (sims
superheroes	0.0646838
heroine	0.063294
protagonist	0.0630318
idealist	0.0617811
loner	0.0609018
villain	0.058671
recluse	0.0586474
"public speaker"	0.0581704
bloke	0.0577361
narrator	0.0552729
"leading man"	0.0550833
superhero	0.0548752
Catch-@@	0.0537765
heretic	0.0515258
idyll	0.0514526
neurotic	0.0507944
whiner	0.0502796
"fall guy"	0.049747
Intimidator	0.0482237
scapegoat	0.0476852
ingenue	0.0467392
individualist	0.0461149
screamer	0.0459053
maniac	0.0458186
hyper	0.0457777
sadist	0.0454807
weirdo	0.0454183
cliche	0.0451464
"chess player"	0.0449848
"stage manager"	0.0445956
"tough guy"	0.0444111
psychopath	0.0443127
"John Wayne"	0.0439686
"bad guy"	0.0438633
nerd	0.0438434
"house guest"	0.0437028
tyrant	0.0435945
"family man"	0.0433956
overachiever	0.0433279
bloomer	0.0431528
battler	0.0427572
rogue	0.0427407
"swing music"	0.0427194
"American Dream"	0.0427169
lout	0.042498
humanist	0.0421283
"important person"	0.0419588
fanatic	0.0419212
provocateur	0.0419186
goofball	0.0419134
hobo	0.041902
"test pilot"	0.041759
martyr	0.0416358
outdoorsman	0.0416178
ape	0.0412302
fiend	0.0410484
"Robin Hood"	0.0404642
archetype	0.0404559
outcast	0.0404289
perjurer	0.0403435
caricature	0.0402403
"Richard Hatch"	0.0401874
Bertha	0.0401813
go-round	0.0401656
has-been	0.040115
android	0.0400264
))
(antihistamine (desc 3143.05) (sims
antacid	0.196491
acetaminophen	0.184355
tranquilizer	0.168648
laxative	0.154492
painkiller	0.151056
antibiotic	0.147031
contraceptive	0.14021
anti-inflammatory	0.133611
Relenza	0.130821
Tylenol	0.128894
ibuprofen	0.125436
melatonin	0.118986
interferon	0.117815
inhaler	0.111941
Ritalin	0.10885
antioxidant	0.107289
medication	0.107139
"vitamin E"	0.106993
vitamin	0.106691
Claritin	0.104849
"sleeping pill"	0.104208
"growth hormone"	0.101948
Zoloft	0.099684
AZT	0.098617
sedative	0.0985527
nevirapine	0.0978696
hormone	0.0965272
opiate	0.0947458
ENBREL	0.0942056
pill	0.0936087
"fish oil"	0.0936067
antiseptic	0.0933429
tamoxifen	0.0924927
anesthetic	0.0923016
aspirin	0.0919494
placebo	0.0909006
echinacea	0.0889476
steroid	0.0887129
inhibitor	0.0882995
thalidomide	0.0880888
mifepristone	0.0878566
methadone	0.0869494
Herceptin	0.0864433
stimulant	0.0854702
creatine	0.0853221
Propulsid	0.0850397
Xenical	0.0850193
cortisone	0.0835181
Fen-Phen	0.0833736
amphetamine	0.0830272
Chemo	0.0826973
RU-@@@	0.0822521
androstenedione	0.0819778
"sex hormone"	0.0819721
Prozac	0.0819664
Celebrex	0.0796937
Phentermine	0.0794547
"wonder drug"	0.0783523
adenovirus	0.077801
"vitamin C"	0.0769816
viagra	0.0767184
preservative	0.0761724
ointment	0.076097
estrogen	0.0747935
olestra	0.0747718
"human growth hormone"	0.0744452
chemotherapy	0.0739127
"lip balm"	0.0737745
lycopene	0.0733815
ketamine	0.0730524
"prescription drug"	0.0729458
insecticide	0.0719881
andro	0.0716991
nitroglycerin	0.0715093
blocker	0.0714365
defoliant	0.0711086
Advil	0.0709375
morphine	0.0705029
allergy	0.0703206
additive	0.0700793
disinfectant	0.0698626
Rezulin	0.0697976
"birth control"	0.0694544
iodine	0.0690289
shampoo	0.0678712
Vaccine	0.0673997
penicillin	0.0672684
"vitamin A"	0.0672177
"folic acid"	0.0646039
LIPITOR	0.0644062
Alpha	0.0640577
nitrate	0.0639244
ephedra	0.0633584
kava	0.0631886
"computer language"	0.0624894
LSD	0.0621654
Paxil	0.061958
REPELLENT	0.0618017
fluoride	0.0616884
weight-loss	0.0615461
PDA	0.0613944
Pondimin	0.0611544
"laundry detergent"	0.0605986
Contraception	0.0603998
acne	0.0603406
leptin	0.0603313
herbicide	0.0595962
Vioxx	0.059413
stents	0.059406
pesticide	0.0592596
"St. John's wort"	0.0590324
insulin	0.0589007
caffeine	0.058556
Gel	0.0585208
sweetener	0.0578382
testosterone	0.0577004
Valium	0.057674
Endostatin	0.0576443
MDMA	0.0575871
EPO	0.0573724
psychotherapy	0.0570204
stent	0.0564801
Prilosec	0.0564039
lozenge	0.0562784
"software package"	0.0558069
toothpaste	0.0554486
eyeglass	0.0551773
hGH	0.0549719
capsaicin	0.0546895
"hard drug"	0.0546757
"programming language"	0.0545192
"ultraviolet light"	0.0545062
pseudoephedrine	0.0544389
acupuncture	0.0543795
Oral	0.0542265
ecstasy	0.0542074
diuretic	0.0541237
cyanide	0.0540735
CFCs	0.0537783
thermometer	0.0533468
condiment	0.0531719
Avonex	0.0527685
"point system"	0.0523791
regimen	0.0520383
ECN	0.0518895
suture	0.0516151
"hydrogen peroxide"	0.0514862
lotion	0.0513383
"Ginkgo biloba"	0.051041
endoscope	0.0508167
Propecia	0.050772
"utility program"	0.0506581
antibody	0.0506467
tablet	0.0504774
"line of products"	0.0504408
carnivore	0.0504336
Botox	0.050312
antidote	0.050275
syringe	0.0501927
GHB	0.0495579
"skin care"	0.0494501
dosage	0.0493939
TCM	0.0493396
impotence	0.0492918
Deet	0.0491215
"Palm VII"	0.0491103
anesthesia	0.0489604
chlorine	0.0487913
Zocor	0.0487036
"atom bomb"	0.048678
narcotic	0.0486207
"drug business"	0.0482893
propellant	0.0481931
"hand-held computer"	0.048175
supercomputer	0.0481035
Calcium	0.0474948
suffix	0.0474303
emulator	0.047315
Sarin	0.047257
nicotine	0.0471914
outpatient	0.0470957
derivative	0.0470088
"entitlement program"	0.0467703
"solar power"	0.0465187
generics	0.0464894
methamphetamine	0.0464825
hypnosis	0.0462895
"toy retailer"	0.0457977
exotica	0.0457758
toxin	0.0455199
motherboards	0.0454316
joysticks	0.0453375
"voting system"	0.0452159
cola	0.0451051
telomerase	0.0446736
supercomputers	0.0446501
enhancers	0.0445456
"Beijing Youth Daily"	0.0444849
"rocket engine"	0.0444561
"electronic device"	0.0443598
))
(Antioch (desc 1509.47) (sims
Ojai	0.119022
Emeryville	0.115896
Pleasanton	0.103693
Brentwood	0.0988416
"San Luis Obispo"	0.0961046
Palmdale	0.0931114
"San Rafael"	0.0914022
third-grade	0.0902612
Cupertino	0.0882249
"Mission Viejo"	0.0869383
Eton	0.0866359
Kensington	0.0866343
Camarillo	0.0849622
"Huntington Beach"	0.0838399
MCC	0.0836281
Alameda	0.0833
"Walnut Creek"	0.0832222
Haicheng	0.0820884
"Santa Clarita"	0.0817124
Calabasas	0.0814485
oceanside	0.0810502
Smyrna	0.0770245
"Oak Ridge"	0.0766497
"South San Francisco"	0.0765471
"University of Wyoming"	0.0759539
Reseda	0.0754703
Macoris	0.0752476
"Granada Hills"	0.0750431
"Mill Valley"	0.0748655
"Union City"	0.0744481
Kizlyar	0.0743908
Burlingame	0.0742157
Sausalito	0.0741612
Winchester	0.0734151
"Pacific Palisades"	0.0731717
"University of Kentucky"	0.0729766
yeshiva	0.0727304
"Santa Clara County"	0.0726744
Eureka	0.0726549
Yonkers	0.0720019
Beida	0.0713206
"Culver City"	0.0712946
Morristown	0.0712825
Danville	0.0711089
"Simi Valley"	0.0709066
"El Segundo"	0.0705279
Claremont	0.0701995
Bakersfield	0.069987
Juba	0.0698893
"Westlake Village"	0.0693248
second-grade	0.0692995
Redding	0.06877
"University of Dayton"	0.0687213
Leskovac	0.0685099
"San Bernardino"	0.0680223
Caen	0.0677422
Monterey	0.0673099
eighth-grade	0.0668114
Modesto	0.0667853
"Bel Air"	0.0665512
"San Pedro Sula"	0.0665059
"grammar school"	0.0664897
"Thousand Oaks"	0.0663705
Chattanooga	0.0663663
"Manhattan Beach"	0.0661538
"United Church of Christ"	0.0659689
Wellesley	0.0659524
"Santa Barbara"	0.0654589
sixth-grade	0.0654265
Vukovar	0.0654154
Lawrenceville	0.0653484
"West Hollywood"	0.0651665
"Century City"	0.0651093
"La Jolla"	0.0650683
Mbarara	0.064917
"Peking University"	0.064888
Glendale	0.064797
Sparta	0.0647207
bethel	0.0646378
Longview	0.0644123
Beersheba	0.064253
Fayetteville	0.0642235
"Sherman Oaks"	0.0637772
Rostock	0.0634877
"San Carlos"	0.0632913
Fullerton	0.0632857
Matadi	0.063021
"Port Elizabeth"	0.0628564
"Marin County"	0.0627451
riverside	0.0625601
Pittsburg	0.0625132
"San Cristobal"	0.0622793
"Santa Maria"	0.0621236
UNAM	0.0618753
Petaluma	0.0618263
LAKEWOOD	0.0617535
Moshi	0.0613735
"University of Zimbabwe"	0.0613353
Krakow	0.0612879
"Kent State"	0.0612155
Batticaloa	0.0609039
Evanston	0.0608726
Sunnyvale	0.0608641
"Chapel Hill"	0.0607928
Catania	0.0601585
Marjayoun	0.0601246
"Camp Pendleton"	0.0594985
Norwich	0.0594703
Fremont	0.0594686
"Santa Ana"	0.0594295
Norwalk	0.059056
Folsom	0.0590436
"senior high school"	0.0587192
Tarzana	0.0584429
Stockton	0.0583481
"Mount Vernon"	0.0582714
Westlake	0.058223
Kabwe	0.058093
Carmel	0.0580075
"College of Charleston"	0.0579873
"Woodland Hills"	0.0575059
Mostar	0.057472
"Highland Park"	0.0573887
Malibu	0.0573348
Middletown	0.0572405
"Westminster Abbey"	0.0571508
Pomona	0.0570276
Burbank	0.0569122
Lynchburg	0.0567527
Westminster	0.0566699
Casas	0.0565039
"College Park"	0.0564495
Lhokseumawe	0.0563894
Jamestown	0.056105
NYU	0.0560863
"San Angelo"	0.0559227
Chengde	0.0558315
Vallejo	0.0557417
"Temple University"	0.0556295
"Studio City"	0.0555431
"Santa Rosa"	0.055514
"Seton Hall University"	0.0553476
Tapachula	0.0552053
Rafah	0.0551258
Vitoria	0.055071
Ballymoney	0.0550698
Atherton	0.0550578
Avignon	0.0550233
Encino	0.0550216
Napa	0.0547173
Sonoma	0.0547071
"Santa Cruz"	0.0545518
Qom	0.0544119
Kandy	0.0543938
Hillsboro	0.05426
"Los Angeles Unified"	0.054137
"Mount Pleasant"	0.0539453
"North Hollywood"	0.0539189
Samara	0.053867
Assisi	0.0538426
"Rice University"	0.0538074
Poughkeepsie	0.0537021
Sidon	0.0536936
"Southern Baptist"	0.0536079
Baoding	0.0536059
Andover	0.0535901
Guadalajara	0.0535815
Urus-Martan	0.0535027
Carlsbad	0.0534538
Weimar	0.0533606
Stafford	0.0533583
"Redwood City"	0.0533317
Greenville	0.0532886
"Hunter College"	0.0531774
"Texas Christian University"	0.0531358
"junior high school"	0.0530867
Liege	0.0530379
Americus	0.0529915
"Mountain View"	0.0529778
Lubbock	0.0529312
Lakeland	0.0528324
Najaf	0.0526341
Vladikavkaz	0.052549
Baalbek	0.0524757
Fresno	0.0524385
"Brooklyn Heights"	0.0523619
Khabarovsk	0.0523188
"Riverside County"	0.0522895
Englewood	0.0522292
"Eagle Pass"	0.0522107
lakeside	0.0522079
Irvine	0.0517193
Torrance	0.0516955
Oxnard	0.0516262
Karbala	0.051491
"Central High School"	0.0514283
Camden	0.0514033
"Ciudad Juarez"	0.0513143
Baotou	0.0511675
"UC Berkeley"	0.0511243
))
(Antioquia (desc 1396.79) (sims
Bolivar	0.201008
Meta	0.195713
Santander	0.189893
"Minas Gerais"	0.181896
Putumayo	0.176116
Valle	0.171297
Tigray	0.151798
"Lower Saxony"	0.15111
Michoacan	0.128623
Sinaloa	0.123811
Sofala	0.123364
sucre	0.121932
"North Maluku"	0.121899
"Quintana Roo"	0.120037
Punjab	0.118439
Herat	0.118256
Hesse	0.1175
Zacatecas	0.113689
Vojvodina	0.113559
Norte	0.113045
Cordoba	0.111452
Krasnoyarsk	0.109187
Tete	0.108951
Saxony	0.108823
Kurdistan	0.108546
Jalisco	0.107075
Katanga	0.1069
"East Java"	0.106564
Palawan	0.105794
Huambo	0.10542
Guanajuato	0.103807
Bahia	0.103616
Pampanga	0.103274
Tunceli	0.102604
Nyanza	0.100928
Tamaulipas	0.0985594
"Health and Human Services"	0.0968798
Gujarat	0.0965167
Hakkari	0.0964655
Mpumalanga	0.0963127
Sakhalin	0.095152
BIE	0.0948731
Puebla	0.0938251
Bingol	0.0929426
"Housing and Urban Development"	0.0922924
Riau	0.0917348
Caprivi	0.0909698
Bamiyan	0.0901579
"Chiang Rai"	0.090056
Sindh	0.0894028
quiche	0.0892536
Kelantan	0.0891075
Balochistan	0.0886318
Benguela	0.0885893
"Bank of Israel"	0.0885809
Assam	0.0884734
Maharashtra	0.0879166
Sirnak	0.0875352
Sonora	0.0874088
"West Java"	0.0866753
Cochabamba	0.0866404
Kerala	0.086132
gynecology	0.0841283
Bursa	0.0839164
Rajasthan	0.083869
Morelos	0.083634
Diyarbakir	0.0830969
Bushehr	0.0823309
Basra	0.082324
Qinghai	0.0817168
"West Bengal"	0.0817057
"Veterans Affairs"	0.0810913
"Himachal Pradesh"	0.0806713
Bekaa	0.0804826
Brandenburg	0.0802679
Darien	0.0800835
Basilan	0.0796877
Tabasco	0.0796874
Oaxaca	0.0790376
"Mount Lebanon"	0.0783042
Veracruz	0.0778305
Gauteng	0.0775906
Caguan	0.0775037
ophthalmology	0.0771627
"Surat Thani"	0.0761876
Macoris	0.076013
"Western Australia"	0.0759105
"East Kalimantan"	0.0751802
"East Nusa Tenggara"	0.075109
Isfahan	0.0750963
Zamboanga	0.0747074
Sarawak	0.0746613
Cabinda	0.0746127
Henan	0.0745315
Shaanxi	0.074329
Cotabato	0.0741735
"New South Wales"	0.07412
Merida	0.0740945
chihuahua	0.0739462
Guangxi	0.0738479
obstetrics	0.0737926
Sur	0.0734493
"New South"	0.073415
Maguindanao	0.0731477
"rift valley"	0.0730642
ICA	0.0729643
"CHIANG MAI"	0.0723984
Haryana	0.0721359
Murmansk	0.0721248
radiology	0.0719862
"Mekong Delta"	0.0717295
Bataan	0.0715886
geriatrics	0.0714898
Siena	0.0712511
Gansu	0.0710662
Posoltega	0.071049
"other eight"	0.0705882
Izmit	0.0703813
"Andhra Pradesh"	0.0702559
Toro	0.0701321
Cesar	0.0698139
Liege	0.0697018
Kedah	0.0696703
Anhui	0.0691124
"La Paz"	0.0689197
Manitoba	0.0688061
Karnataka	0.0687989
"San Marcos"	0.0686907
Antalya	0.0686731
"Damascus Declaration"	0.068596
Najaf	0.0684994
Managua	0.0682529
Chiapas	0.0679721
microbiology	0.0678365
Guadalajara	0.0677983
Sulu	0.0675929
Casas	0.0675243
Hubei	0.0675176
Guizhou	0.0667849
Leningrad	0.0664526
Cebu	0.0662166
Guantanamo	0.0659932
"St. Lawrence"	0.0654024
Phuket	0.0653749
"Uttar Pradesh"	0.0652219
"Tamil Nadu"	0.0651675
Bavaria	0.0650576
CAAC	0.0648077
Newfoundland	0.0644072
"other seven"	0.0640457
Talipao	0.0638007
Vilnius	0.063734
Adana	0.0636569
"Baja California"	0.0631283
Palma	0.0629709
Heilongjiang	0.062499
Mekong	0.0620516
"preventive medicine"	0.0620129
Aceh	0.0619758
Alsace	0.0616768
Perak	0.0616557
"Madhya Pradesh"	0.0616426
Novosibirsk	0.0613397
Bengkulu	0.0612974
Bihar	0.0612626
Laguna	0.0611543
Kwazulu-Natal	0.0609957
Umbria	0.0609158
Batticaloa	0.0607876
"Yugoslav Federation"	0.0607411
Khost	0.0607308
Hunan	0.0601822
Samara	0.0599658
Sylhet	0.0596085
Tallinn	0.0595487
KwaZulu/Natal	0.0595442
Kalimantan	0.0594637
Ningxia	0.05945
Limon	0.0592696
Durango	0.0591719
Jilin	0.0590795
"Central Java"	0.0590347
"Irian Jaya"	0.0589606
Orissa	0.0589198
Amazonian	0.0589115
Johor	0.0586663
Maluku	0.0585952
Tasmania	0.0585452
Jiangxi	0.0583517
astrophysics	0.0581873
"Serbian Republic"	0.0579936
Martinique	0.0579098
Pahang	0.0575547
Puglia	0.057008
Shanxi	0.0569557
Giza	0.0568419
"South Australia"	0.0565523
"Atlanta Journal"	0.0563647
Izmir	0.0562736
"East African Cooperation"	0.0560488
))
(antioxidant (desc 7839.11) (sims
"vitamin E"	0.221352
"vitamin C"	0.201475
"folic acid"	0.192508
Calcium	0.179521
carotene	0.174077
lycopene	0.172689
potassium	0.167826
"vitamin A"	0.164634
nutrient	0.151041
"amino acid"	0.150902
estrogen	0.150326
"fatty acid"	0.145202
protein	0.143873
vitamin	0.133629
"B vitamin"	0.131634
folate	0.131118
"vitamin D"	0.130439
hormone	0.128625
selenium	0.127533
inhibitor	0.120547
enzyme	0.120209
"fish oil"	0.115568
fiber	0.114373
creatine	0.107912
antihistamine	0.107289
ephedra	0.102908
anti-inflammatory	0.102472
iodine	0.101881
phosphorus	0.101389
carbohydrate	0.101183
laxative	0.0991715
sodium	0.0984142
contaminant	0.098264
chemical	0.0943364
caffeine	0.0929852
dioxin	0.0926519
pesticide	0.0917343
andro	0.0914114
androstenedione	0.0912255
painkiller	0.091179
acid	0.091103
antibody	0.0908775
"free radical"	0.0905604
antibiotic	0.0888272
supplement	0.088264
melatonin	0.0882524
"animal fat"	0.0879886
Zinc	0.0871545
chlorine	0.086751
nitrogen	0.0860094
"growth hormone"	0.0860074
carcinogen	0.0847927
steroid	0.084285
substance	0.0834633
soy	0.0829038
opiate	0.082428
mineral	0.0820891
nicotine	0.0820105
toxin	0.08195
stimulant	0.0813044
EPO	0.0809808
cortisone	0.0798567
"chemical compound"	0.0796083
testosterone	0.0795887
cholesterol	0.0792167
"sex hormone"	0.0788962
fluoride	0.0785381
Endostatin	0.0774801
leptin	0.0768414
nitrate	0.0738542
sedative	0.0726481
herb	0.0721474
insulin	0.0719183
mutation	0.0718221
dopamine	0.0718041
iron	0.0714664
medication	0.0713341
interferon	0.0703986
magnesium	0.0702778
homocysteine	0.0692035
insecticide	0.0689811
CFCs	0.068848
antacid	0.0679005
serotonin	0.0678465
fat	0.0676866
sulfur	0.067387
benzene	0.0673382
calory	0.067269
antigen	0.0672242
allergen	0.0672039
T-cells	0.0671343
"human growth hormone"	0.0669913
microorganism	0.0669516
"carbon monoxide"	0.066902
arsenic	0.0668347
diuretic	0.0667053
cyanide	0.0657854
impurity	0.0654508
capsaicin	0.0653005
AZT	0.065043
isotope	0.0646722
alcohol	0.0645722
ephedrine	0.0645099
tamoxifen	0.0639147
weight-loss	0.0639053
amphetamine	0.0635898
chloride	0.0633839
molecule	0.0632386
starch	0.0630309
anesthetic	0.0627841
Gene	0.0623804
"green tea"	0.0623491
placebo	0.0621501
bacteria	0.0621378
pigment	0.0620503
peptide	0.0614067
"Ginkgo biloba"	0.0610789
radiation	0.0608967
microbe	0.0608917
pollutant	0.0607147
Vaccine	0.060684
hemoglobin	0.0606597
aphrodisiac	0.0606298
PCBs	0.0605446
fungicide	0.0604114
neurotransmitter	0.0603674
herbicide	0.0603182
"blood cell"	0.0602199
aspirin	0.0601955
contraceptive	0.0600006
enhancers	0.0597566
ingredient	0.0595669
ozone	0.0592961
MDMA	0.0592881
additive	0.0592613
sugar	0.0590644
"organic compound"	0.0589766
therapy	0.0589716
bacterium	0.0588284
blocker	0.0587109
defoliant	0.0586158
sweetener	0.0581148
acetaminophen	0.0580925
nutrition	0.0578988
GHB	0.0566982
chromium	0.0564836
radioactivity	0.056213
tranquilizer	0.0561678
pathogen	0.0560202
glucose	0.0559187
nevirapine	0.0556246
"hard drug"	0.0554865
asbestos	0.0550155
"subatomic particle"	0.0546164
ginseng	0.0545982
p@@	0.0545855
aerosol	0.0535347
tannin	0.0534535
fungus	0.053172
PSA	0.0530526
Ritalin	0.0524842
olestra	0.0524386
oxygen	0.0523099
receptor	0.0522847
parasite	0.0522381
"mechanical device"	0.052051
acupuncture	0.0520415
CO@	0.0518951
"food additive"	0.0518912
hydrocarbon	0.0517254
ammonia	0.0517037
shredders	0.0516345
"nitric oxide"	0.051313
solvent	0.0513031
angiostatin	0.0509854
narcotic	0.0509376
"white blood cell"	0.0508666
pill	0.0506446
radiotherapy	0.0506401
"carbon dioxide"	0.0504173
"explosive device"	0.0503872
dioxins	0.0503575
Radon	0.0502652
hGH	0.0502391
polymer	0.0500477
carbon	0.0500301
"break of serve"	0.0499606
organism	0.0499497
SPF	0.0497695
"safety feature"	0.0494013
pollen	0.0493872
collagen	0.0492467
"brain cell"	0.0490767
cushioning	0.0488486
"blood sugar"	0.0487242
echinacea	0.0486885
antifreeze	0.0486495
synthetic	0.0481655
viagra	0.0481538
"UNIX operating system"	0.047917
))
(antipathy (desc 8883.89) (sims
animosity	0.118837
animus	0.109835
resentment	0.0940649
antagonism	0.092893
loathing	0.0890299
distaste	0.0883664
aversion	0.0860793
hatred	0.0845275
dislike	0.0830593
hostility	0.0823267
distrust	0.0817338
enmity	0.0795387
disillusionment	0.0728448
bitterness	0.0704686
sympathy	0.0698377
ambivalence	0.0697796
disdain	0.0684052
mistrust	0.0670775
"ill will"	0.0663935
revulsion	0.0660956
intolerance	0.0644086
apathy	0.0631138
cynicism	0.0630823
affection	0.0619559
receptivity	0.0608491
unease	0.0601037
skepticism	0.0598568
prejudice	0.0598207
unpopularity	0.0597008
affinity	0.0590951
reluctance	0.0581889
weariness	0.057701
unhappiness	0.0572019
misgiving	0.056051
impatience	0.0559082
"inferiority complex"	0.0556899
sentiment	0.0556219
uneasiness	0.0553051
acquiescence	0.055141
disaffection	0.0549901
disapproval	0.0538282
contempt	0.0535464
scorn	0.0533794
scepticism	0.0530316
disgust	0.0526939
discontent	0.0521302
wariness	0.0520548
indifference	0.0510097
disrespect	0.0509982
empathy	0.0507713
xenophobia	0.0506702
belligerence	0.0505391
anxiety	0.0505345
"change of direction"	0.0503952
loyalty	0.0503685
suspicion	0.0500051
disenchantment	0.0497443
misperception	0.0492691
inclination	0.0489967
objection	0.0489438
enthusiasm	0.0488819
ignorance	0.0487414
disquiet	0.0485979
"frame of reference"	0.0479483
acrimony	0.047928
longing	0.0474477
admiration	0.0474249
devotion	0.0473867
insecurity	0.0472832
willingness	0.0472418
gratitude	0.0470598
dissatisfaction	0.047058
fondness	0.0467829
goodwill	0.0466906
rift	0.0463804
frustration	0.0461291
anti-Semitism	0.0457959
kinship	0.0457809
skittishness	0.0457281
pessimism	0.0456668
"good will"	0.0449339
malice	0.0447871
eagerness	0.0447493
vulnerability	0.0447337
rivalry	0.0445159
allegiance	0.044468
disinterest	0.0444303
grudge	0.0444246
infatuation	0.0443434
bias	0.0441545
fascination	0.0440756
divergence	0.0437994
Openness	0.0437808
rancor	0.043779
displeasure	0.0437685
alienation	0.043696
"difference of opinion"	0.0434653
assent	0.0432949
yearning	0.0432624
generosity	0.0430314
"sense of responsibility"	0.0426167
tolerance	0.042553
racism	0.0425261
sadness	0.0425088
fervor	0.0424919
attachment	0.0422865
nostalgia	0.0422701
sensitivity	0.0421213
polarization	0.0420666
dishonesty	0.0419487
unwillingness	0.0415053
hesitancy	0.0412053
coolness	0.0410771
"sense of duty"	0.0410503
"consumer demand"	0.0409918
complementarity	0.0409906
discomfort	0.0409287
nervousness	0.0406351
impulse	0.0405523
appetite	0.0404339
vacillation	0.0403483
disparity	0.040248
injustice	0.0402285
))
(antique (desc 26041.6) (sims
furniture	0.18445
collectibles	0.175094
jewelry	0.174329
artifact	0.173035
memorabilia	0.159328
furnishings	0.155747
antiquity	0.144266
Pottery	0.142355
painting	0.13939
curio	0.134132
artwork	0.132089
relic	0.130675
ceramic	0.123412
"work of art"	0.122386
art	0.120392
"fine art"	0.119893
"folk art"	0.116768
porcelain	0.115772
rug	0.113956
sculpture	0.113779
treasure	0.105818
Coin	0.105806
handicraft	0.103515
toy	0.101295
Clothing	0.100823
object	0.0994111
calligraphy	0.0986432
item	0.0982568
"historical document"	0.0979354
jade	0.0951485
"oil painting"	0.094413
quilt	0.0941793
merchandise	0.0941765
"baseball card"	0.0941714
ornament	0.0939163
souvenir	0.0926712
lamp	0.0920311
carving	0.0914786
glassware	0.0914289
memento	0.0913646
housewares	0.0909844
Impressionist	0.0904898
manuscript	0.0899602
accessory	0.089193
gem	0.0888935
tapestry	0.0881167
textile	0.0881048
photography	0.0880161
fresco	0.0877052
vase	0.0869428
"musical instrument"	0.0862393
wallpaper	0.0861874
craft	0.0861285
goods	0.0854731
carpet	0.0842944
jewel	0.0841369
statuary	0.0833888
fossil	0.0822679
trinket	0.0820963
apparel	0.081962
figurine	0.0819152
photograph	0.0813018
architecture	0.0811659
stamp	0.0811027
ware	0.0807931
chandelier	0.0801333
drawing	0.0800523
appliance	0.0800115
cloth	0.0795192
"precious metal"	0.0793837
decor	0.0767811
"old master"	0.0765153
paraphernalia	0.0760306
costume	0.0756127
garment	0.074313
doll	0.0740374
decoration	0.0738614
jewellery	0.0738472
fabric	0.0734681
"fine arts"	0.0734498
"consumer electronics"	0.0722679
Americana	0.0719008
wine	0.0711142
flower	0.0701673
"stained glass"	0.0699558
diamond	0.0699105
knickknack	0.0692041
literature	0.0691552
piece	0.0691423
print	0.0690604
embroidery	0.0688043
collection	0.0687777
folklore	0.0685062
silk	0.0684179
poster	0.0683364
heirloom	0.0680584
timepiece	0.067785
statue	0.0674876
"scientific instrument"	0.0674825
hardware	0.067413
drapery	0.0673775
music	0.0666685
"real estate"	0.0664488
tile	0.0664215
tableware	0.0664063
"household appliance"	0.0663664
gemstone	0.0662907
mural	0.0661823
gift	0.066139
cuisine	0.0661068
boutique	0.066045
shop	0.0660255
sofa	0.0659422
firearm	0.0659145
specimen	0.065911
"piece of furniture"	0.0655211
portrait	0.065328
fur	0.0647091
material	0.0645548
kitchenware	0.0644529
commodity	0.0644054
gallery	0.0643472
upholstery	0.0641684
"trading card"	0.0640702
"art collection"	0.0639823
stationery	0.0639673
"consumer goods"	0.0639259
fashion	0.0636791
food	0.063396
engraving	0.0633316
watercolor	0.063229
linen	0.0631428
shoe	0.0630809
carpeting	0.0630276
junk	0.0629937
footwear	0.0629644
armoire	0.0629258
bedding	0.0628513
mosaic	0.0623073
gold	0.0620542
belonging	0.0617538
wares	0.0617191
valuable	0.0614845
cosmetic	0.0614408
keepsake	0.061418
"office furniture"	0.0612519
"home appliance"	0.061214
metalwork	0.0611472
"building material"	0.0611304
"art gallery"	0.0610783
icon	0.0608758
mattress	0.0607635
silver	0.0606
liquor	0.0605904
property	0.0602214
postcard	0.0601823
grocery	0.0601741
masterpiece	0.0600865
orchid	0.0600631
"computer equipment"	0.0597729
"television set"	0.0597072
gardening	0.0596408
paneling	0.059528
automobile	0.0593457
candy	0.0592593
electronics	0.0589538
"greeting card"	0.0586135
chair	0.0584186
poetry	0.0582371
flooring	0.0582015
photo	0.0581853
"spare part"	0.0579965
equipment	0.0578912
exhibit	0.0578257
bullion	0.0575493
VCDs	0.057344
leather	0.0572744
tool	0.0572405
Entertainment	0.0570036
"sports equipment"	0.0569287
auto	0.0568242
marble	0.0568163
cookware	0.0567387
perfume	0.0565361
"picture frame"	0.056455
"card table"	0.0563305
necklace	0.056271
handbag	0.0562198
"Beanie Babies"	0.0561554
clocks	0.0557286
foodstuff	0.0555972
reproduction	0.0555961
gadget	0.0554149
lantern	0.0551779
gun	0.0550039
"flea market"	0.0549008
ivory	0.0547367
herb	0.0546373
ceramics	0.0540298
dish	0.0537966
))
("Antiquities Act" (desc 1636.64) (sims
"Telecommunications Act"	0.182827
"Civil Rights Act"	0.146383
"Voting Rights Act"	0.137175
"Clean Air Act"	0.131762
"Balanced Budget Act"	0.126196
"Endangered Species Act"	0.095728
"Resolution @@@"	0.0896781
"eminent domain"	0.0869819
"Helms-Burton Act"	0.0857445
ERISA	0.0854097
"Title IX"	0.0846301
"tax change"	0.0810701
"Disabilities Act"	0.080258
"Title VII"	0.0781775
Almighty	0.0771984
reapportionment	0.0744321
"Anti-Ballistic Missile Treaty"	0.0743305
"Six Day War"	0.0719229
"counsel law"	0.0718309
Ordinance	0.0711593
"Section @@@"	0.0702357
"U.N. Charter"	0.0685698
"Internal Security Act"	0.0684235
"organic law"	0.0657886
"Montreal Protocol"	0.0650034
"scientific method"	0.0649159
defoliant	0.0633992
"Kyoto Protocol"	0.0622633
V-chip	0.0620894
"Community Reinvestment Act"	0.0616682
"two digits"	0.0613835
"last two digits"	0.0609634
endoscope	0.0604449
Ada	0.0597078
"Chapter @"	0.0589425
"Section @"	0.0585057
Comelec	0.0580536
"Proposition @"	0.0578223
drafters	0.057667
PACs	0.0570572
"Lusaka Peace Accord"	0.0570028
encyclical	0.0555695
apportionment	0.0549059
"Second Amendment"	0.0545821
"North American Free Trade Agreement"	0.0543882
"Self-Defense Forces"	0.0539946
gook	0.0537709
"Resolution @@@@"	0.0528153
cryptography	0.0527263
"ABM Treaty"	0.0522642
"Oslo Accords"	0.0518746
"electric chair"	0.0512455
plunger	0.0511942
"power of attorney"	0.0508154
"antitrust law"	0.05066
"second and third quarters"	0.0506264
"final judgment"	0.0506177
"No. @@@@"	0.0505508
CFCs	0.0502585
"ultraviolet light"	0.0500581
"first two quarters"	0.0500333
"global positioning system"	0.0498402
thalidomide	0.0496805
"Texas Legislature"	0.0495151
Sarin	0.0494874
"Spanish-American War"	0.0494723
"attorney-client privilege"	0.0491281
"tax bill"	0.0487026
pronoun	0.0485895
Botox	0.0485486
"first eleven months"	0.0485377
"General Committee"	0.0480925
"Commission on Elections"	0.047828
Gnutella	0.0476542
"corporal punishment"	0.0476239
"million over five years"	0.0475104
Teresi	0.0474947
"compromise plan"	0.0474898
"atomic energy"	0.0470405
"Lincoln Bedroom"	0.0469087
"catalytic converter"	0.0465975
fact-finding	0.0462025
"Texas Senate"	0.0462011
"rating system"	0.0460993
"Arab-Israeli War"	0.0459605
olestra	0.0458608
"Clean Water Act"	0.0458579
"Geneva convention"	0.045691
Webdale	0.0453137
"U.N. Resolution @@@"	0.0452556
"trial and error"	0.0452209
"U.N. Security Council Resolution @@@"	0.045043
"United States Congress"	0.0448714
"Holy Year"	0.044861
irradiation	0.0446894
"Oslo Accord"	0.0446594
webcams	0.0446221
carnivore	0.0445352
"solar power"	0.0444274
"judicial branch"	0.0441796
"Proposition @@@"	0.0441486
CSRC	0.044037
"bag of tricks"	0.043689
"coal gas"	0.0435788
Apaches	0.0434455
"martial law"	0.0433555
"Strategic Petroleum Reserve"	0.0433441
"Republican Congress"	0.0433346
"electrical device"	0.0433085
"visual image"	0.0432977
"computer graphics"	0.0432834
capsaicin	0.0430987
"Proposition @@"	0.0429584
gimmickry	0.0427771
BLUETOOTH	0.0426574
"teaching method"	0.0425119
"Joe Camel"	0.0425105
"voting system"	0.0424349
"point system"	0.0423596
damming	0.0423056
stevedore	0.0422843
"extension cord"	0.0422517
"sound wave"	0.0422219
gunship	0.0422152
electrocution	0.0421866
"air power"	0.0416097
"computer technology"	0.0415984
"Maastricht Treaty"	0.0415807
"deficit spending"	0.0415612
enhancers	0.0414863
FTA	0.0414556
"computer language"	0.0414377
"Andean Community"	0.0413119
styling	0.0412805
"fund-raising campaign"	0.0412343
"Constitutional Assembly"	0.0412029
"Sino-British Joint Declaration"	0.0411761
ketamine	0.0411216
"Les Bleus"	0.0410207
algorithm	0.0409276
malathion	0.0408511
"Fourth Amendment"	0.0407764
"programming language"	0.040675
"Fifth Amendment"	0.0406706
"fire hose"	0.0406338
identifier	0.0405547
"Islamic Revolution"	0.0404709
CITES	0.040446
"Lusaka Protocol"	0.0403827
"Electronic Arts"	0.0403265
"genetic engineering"	0.0402888
prosthesis	0.0402817
"maritime law"	0.0402042
lockbox	0.0401727
"Passion play"	0.040162
"electric current"	0.0400416
))
(antiquity (desc 13965.4) (sims
artifact	0.168077
antique	0.144266
relic	0.138494
"folk art"	0.134987
treasure	0.10508
art	0.102781
memorabilia	0.0996064
artwork	0.0995968
ceramic	0.0987222
"fine art"	0.0964454
"work of art"	0.094488
sculpture	0.0918233
painting	0.0915708
fossil	0.0908842
Pottery	0.0892217
"old master"	0.0881576
handicraft	0.0874296
calligraphy	0.0869163
collectibles	0.0834202
archaeology	0.0822655
fresco	0.0810078
"historical document"	0.0809034
literature	0.0804718
jewelry	0.0787012
civilization	0.0784164
curio	0.0769949
furniture	0.0761725
Coin	0.0755543
manuscript	0.0753053
furnishings	0.0750186
"Civil Aviation"	0.0743934
architecture	0.0737816
folklore	0.0737544
"art collection"	0.0712085
object	0.0710586
"fine arts"	0.070617
"baseball card"	0.070065
mythology	0.0694281
porcelain	0.0691464
heritage	0.0683949
narcotic	0.0682375
"oil painting"	0.067871
bronzeware	0.0670213
firearm	0.0664909
photography	0.0662355
"musical instrument"	0.0662154
tomb	0.0645696
contraband	0.063057
wildlife	0.0621673
archeology	0.061903
diamond	0.0618334
jade	0.0615373
Americana	0.0613838
mummy	0.0609164
goods	0.060766
gem	0.0606699
textile	0.060633
statue	0.0602984
ivory	0.0598412
statuary	0.0594476
Impressionist	0.0591183
drawing	0.0590207
Impressionism	0.058386
statuette	0.0576111
stamp	0.0563226
"postage stamp"	0.0562792
pornography	0.056244
Monet	0.0562062
"natural history"	0.0560725
commodity	0.0559344
specimen	0.0556826
merchandise	0.055648
"precious metal"	0.055588
craft	0.0553442
vase	0.0552976
"real estate"	0.0549769
"computer equipment"	0.0549628
ceramics	0.0549558
stele	0.0544525
garment	0.0544127
carving	0.0540159
rug	0.0540108
archive	0.053817
custom	0.053732
cuisine	0.0536838
monument	0.0535819
flora	0.0531585
bullion	0.052665
"building material"	0.0525625
paraphernalia	0.052252
erotica	0.0519103
figurine	0.0516693
"landscape painting"	0.0513614
lacquerware	0.0513046
horticulture	0.0511775
wine	0.0500256
poetry	0.0499771
trove	0.0499584
tusk	0.0494645
"piece of furniture"	0.0494493
armament	0.0494336
ecology	0.0491983
scenery	0.0491073
Patrimony	0.0488946
aviation	0.0486052
jewel	0.0485696
cocaine	0.0485281
ware	0.0481915
meteorite	0.04819
"motor vehicle"	0.0477968
masterpiece	0.0477301
Scripture	0.047332
temple	0.0467777
heroin	0.0466997
Livestock	0.0466841
heirloom	0.0466743
"bank note"	0.0466525
timber	0.046581
"consumer electronics"	0.0465669
sutras	0.0463838
"wall painting"	0.0461352
tablet	0.0458146
"natural resource"	0.0458143
Dinosaur	0.0457408
grotto	0.0452375
geology	0.0452065
mosaic	0.0451655
automobile	0.0450973
gemstone	0.0449833
COUTURE	0.0447504
fur	0.0447141
auto	0.0446721
ornament	0.0446572
Clothing	0.044484
derivative	0.0443677
pyramid	0.0443614
"consumer goods"	0.044272
quilt	0.044262
belonging	0.0441487
VCD	0.0440571
"home appliance"	0.0438978
Greek	0.0438715
"burial site"	0.0437765
origin	0.0436481
liquor	0.0436394
housewares	0.0435452
mural	0.0434368
"burial ground"	0.0432909
daguerreotype	0.0431916
"natural science"	0.0430701
fishery	0.0430596
tombstone	0.0429494
renaissance	0.0429446
"art form"	0.042835
violin	0.0428055
skeleton	0.0427672
"written material"	0.0427244
herb	0.0426823
hardware	0.0426209
memento	0.0424838
"trade secret"	0.0424788
VCDs	0.0423621
"scientific instrument"	0.0422617
timepiece	0.0421858
metropolises	0.0421134
Motorcycle	0.0420519
explosive	0.0420262
"food product"	0.0419279
accessory	0.0418441
doll	0.0418047
appliance	0.0417504
"personal property"	0.0416098
apparel	0.0415566
cache	0.0415066
"computer hardware"	0.0414612
anthropology	0.0413642
weaponry	0.0413095
"Han Dynasty"	0.0411099
caviar	0.0409285
"household appliance"	0.0408426
opera	0.0408399
foodstuff	0.0407903
genealogy	0.0405829
specie	0.0404925
"historical record"	0.0404598
junk	0.0403109
kiln	0.0402118
"folk song"	0.0400871
orchid	0.0400297
))
(antiseptic (desc 983.334) (sims
ointment	0.124168
antihistamine	0.0933429
painkiller	0.0931982
fillip	0.0886469
laxative	0.0830281
tranquilizer	0.0750657
antifreeze	0.0741198
moisturizer	0.0704397
"insect repellent"	0.0609677
Auger	0.0599342
"ice pack"	0.0589812
"electric current"	0.0573535
expedient	0.0573087
"powder keg"	0.0565801
preservative	0.054736
"object lesson"	0.0545068
gauze	0.0544836
absinthe	0.0543999
enabler	0.0521405
"evil spirit"	0.052014
"legal principle"	0.0518961
REPELLENT	0.0511677
"bowling ball"	0.0508139
disinfectant	0.0500369
reagent	0.0492046
sealant	0.0491855
"hot stock"	0.0490522
balm	0.0483738
deodorant	0.0481889
cistern	0.0481255
eggnog	0.0479513
ergonomics	0.0477963
insulin	0.0477895
defibrillator	0.0470094
epoxy	0.0460205
"True West"	0.0459304
batboy	0.0459019
"eye opener"	0.0456283
sedation	0.0454265
epigram	0.0454197
"embryonic cell"	0.0453734
ensign	0.0453164
sedative	0.0450477
scoutmaster	0.0449596
"hypodermic needle"	0.0449017
aperitif	0.0448505
"altar boy"	0.044533
band-aid	0.0444574
sealer	0.0444131
"vitamin C"	0.0443208
"electronic database"	0.0442055
"safety valve"	0.0438262
thinner	0.0437705
"postmaster general"	0.0437478
"sense of direction"	0.0435207
rawness	0.043453
stopgap	0.0434187
chokehold	0.0433128
yardstick	0.0431574
"circuit breaker"	0.0430799
"speeding ticket"	0.0428759
"electric light"	0.0427854
Grbac	0.0427427
infantryman	0.0427414
"Bud Light"	0.0423828
guidepost	0.0423076
troubleshooter	0.0422104
impurity	0.0421685
eyelash	0.0420156
eavesdropper	0.0419584
roadmap	0.0418115
inkling	0.0413873
insulator	0.0412256
anesthetic	0.0411768
hand-holding	0.04083
"Reagan Democrats"	0.0405149
"surgical procedure"	0.0403353
wellspring	0.0403263
underpinning	0.0401784
"cup of tea"	0.040079
Stonehenge	0.0400205
))
(antithesis (desc 7169.65) (sims
embodiment	0.0713555
epitome	0.0668456
personification	0.0588239
accepting	0.058747
opposite	0.0546429
"mirror image"	0.0526423
"exact opposite"	0.0515114
repudiation	0.0513144
"good example"	0.0479177
amalgam	0.0468159
randomness	0.0460011
exemplar	0.0445878
microcosm	0.042656
inheritor	0.0423968
cornerstone	0.0418675
hallmark	0.0411243
negation	0.0409402
figment	0.0408897
indicative	0.0401342
))
("antitrust case" (desc 16239.1) (sims
lawsuit	0.14231
litigation	0.120314
suit	0.115001
"libel suit"	0.109446
"bankruptcy case"	0.0972116
trial	0.0913714
"enforcement action"	0.0871251
"drug case"	0.0859529
"legal proceeding"	0.0846073
proceeding	0.0797902
"custody battle"	0.0781283
"fraud charge"	0.0766879
inquiry	0.0757462
injunction	0.0756259
probe	0.0755938
"custody case"	0.0748923
investigation	0.0738178
"takeover battle"	0.0698013
"labor dispute"	0.0679601
"Whitewater investigation"	0.0672934
argument	0.0672073
ruling	0.0667994
"legal action"	0.0666148
"covert operation"	0.0659993
complaint	0.0653942
"federal court"	0.0633293
"bankruptcy proceeding"	0.0631863
prosecution	0.0628657
reorganization	0.0605513
"corruption scandal"	0.0584785
"military campaign"	0.058249
hearing	0.0569651
indictment	0.0563578
verdict	0.0557871
"reorganization plan"	0.055498
shake-up	0.055436
deliberation	0.0552018
allegation	0.0543348
filing	0.0543
imbroglio	0.0535882
decree	0.0526396
scandal	0.0518741
"U.S. District Court"	0.0511108
"legal brief"	0.0509961
petition	0.0501951
confrontation	0.0494799
controversy	0.0493706
rivalry	0.0492764
motion	0.0490168
"cash crunch"	0.0486231
"murder charge"	0.048161
overhaul	0.0480603
"senate race"	0.0475898
court-martial	0.0474639
grievance	0.0472804
shakeup	0.0467403
lockout	0.0467345
standoff	0.0467135
"entitlement program"	0.0463182
"work stoppage"	0.0455478
realignment	0.0454544
"marketing effort"	0.0450174
judgment	0.0447548
"fund-raising campaign"	0.0445253
"trade bill"	0.0440317
"US District Court"	0.0437424
"policy change"	0.0436928
"closed session"	0.0436795
"fund-raising drive"	0.0433254
courtroom	0.0431933
crusade	0.0428673
"advertising campaign"	0.0428199
"marketing campaign"	0.0426306
evolution	0.0426024
impeachment	0.0422849
"ad campaign"	0.0418853
feud	0.0416725
accusation	0.0415925
audit	0.0415178
bankruptcy	0.0415104
walkout	0.0413232
"budget cut"	0.0412384
"crisis situation"	0.0412005
affidavit	0.0411919
pact	0.0411828
"appellate court"	0.0410332
remedy	0.0409963
"police investigation"	0.0405772
disagreement	0.0400956
Saga	0.0400857
contention	0.0400527
))
("antitrust law" (desc 10150.3) (sims
"criminal law"	0.164812
"Clean Air Act"	0.150949
"Title VII"	0.141583
"Voting Rights Act"	0.141021
"Title IX"	0.133481
"Clean Water Act"	0.13132
statute	0.12645
"bankruptcy law"	0.116927
Ordinance	0.11574
"Community Reinvestment Act"	0.110192
"international law"	0.107935
"Civil Rights Act"	0.104835
"Endangered Species Act"	0.102576
Ada	0.100138
regulation	0.0992213
"First Amendment"	0.0977943
"building code"	0.0954411
"Anti-Ballistic Missile Treaty"	0.0952015
bylaw	0.0943386
"Fourth Amendment"	0.0938519
"U.S. Constitution"	0.092816
"code of conduct"	0.0911714
"ABM Treaty"	0.0909355
embargo	0.090709
guideline	0.0891491
"Telecommunications Act"	0.0878277
"Geneva convention"	0.087148
"Criminal Procedure Law"	0.0863501
"Helms-Burton Act"	0.0855995
constitution	0.0854191
"safety standard"	0.0852602
"trade embargo"	0.085066
"U.N. Resolution @@@"	0.0848648
"penal code"	0.0834754
provision	0.0823622
"United Nations Charter"	0.0815671
"U.N. Charter"	0.081484
code	0.0807404
"rule of evidence"	0.0806353
prohibition	0.0801556
legislation	0.0799059
"Disabilities Act"	0.0752252
"common law"	0.0741261
requirement	0.0739918
"commercial law"	0.0717947
directive	0.0714297
"Article @@"	0.0710218
Treaty	0.0702615
restriction	0.0701119
covenant	0.0699206
"tax system"	0.068197
"attorney-client privilege"	0.0672319
"Fifth Amendment"	0.0666515
"abortion law"	0.0665995
doctrine	0.0664072
clause	0.0662973
"maritime law"	0.0657397
"law of nature"	0.0654475
injunction	0.0654043
norm	0.0649155
decree	0.0641575
"legal principle"	0.063738
"trade agreement"	0.0630231
curfew	0.0629493
"property right"	0.0629476
taxation	0.0613859
"estate tax"	0.0611071
"Article @@@"	0.0610265
Sharia	0.0610061
"antitrust regulator"	0.0609995
"Vienna Convention"	0.0603941
"regulatory agency"	0.0599149
charter	0.059627
"Article @"	0.059399
ERISA	0.0588157
"fundamental principle"	0.0587517
"trade policy"	0.0585152
"Basic Law"	0.057542
"right to privacy"	0.0567953
Copyright	0.0566891
NAFTA	0.0563975
"Lusaka Peace Accord"	0.0560162
"Joint Declaration"	0.0559991
"legal system"	0.0559239
ethic	0.0554712
commandment	0.0552224
Shariah	0.0550846
"Section @@@"	0.0548125
"rule of law"	0.0547859
zoning	0.0547782
"Sino-British Joint Declaration"	0.0547438
amendment	0.0542737
mandate	0.0540068
"U.N. Security Council Resolution @@@"	0.0539789
protocol	0.0536
"sales tax"	0.0532863
"counsel law"	0.0532459
"civil liberty"	0.0529952
Helms-Burton	0.0528683
secrecy	0.0526696
"Section @"	0.0523097
"tax policy"	0.0519556
ABM	0.051223
"quota system"	0.0507422
"labor contract"	0.0506766
"Antiquities Act"	0.05066
"International Covenant"	0.0506381
pact	0.0505321
"human rights"	0.0505251
"civil rights"	0.0504435
theology	0.0500397
edict	0.0495747
tariff	0.0495318
"basic principle"	0.0492756
"Balanced Budget Act"	0.0491548
"human right"	0.0487903
Etiquette	0.0480071
"voting system"	0.0478015
"Proposition @@"	0.0477187
obligation	0.0474992
"Bill of Rights"	0.0474129
forfeiture	0.0471188
quota	0.0470752
criteria	0.0470099
"Resolution @@@@"	0.0468624
custom	0.0466542
"Lusaka Protocol"	0.0466481
precedent	0.0466315
"drug czar"	0.0458592
monopoly	0.0458365
jurisprudence	0.0457728
"UN Charter"	0.0454701
"income tax"	0.045432
"public trust"	0.045357
"Second Amendment"	0.0452914
reciprocity	0.0452862
"due process"	0.0451971
"foreign policy"	0.0451575
immigration	0.0451425
Judiciary	0.0449576
"Proposition @@@"	0.0446585
"Proposition @"	0.0443887
"licensing agreement"	0.0441694
"employment contract"	0.0440782
"Nuclear Regulatory Commission"	0.0440373
"law of the land"	0.0438396
Scripture	0.0437902
"electoral system"	0.043767
"civil right"	0.0436528
economics	0.0435011
Privacy	0.04349
"religious belief"	0.0433399
tort	0.0432787
"freedom of speech"	0.0432037
stipulation	0.0431909
"appellate court"	0.0431723
"current system"	0.0428872
"law enforcement"	0.0428545
"speed limit"	0.0427396
sociology	0.0427133
record-keeping	0.0426895
immunity	0.0424913
armistice	0.0423738
"tax change"	0.0423668
"Oslo Accords"	0.0422913
"trade barrier"	0.0422727
privilege	0.0419909
"appeals court"	0.0418824
jurisdiction	0.0417427
"North American Free Trade Agreement"	0.041664
"death penalty"	0.0415829
"administrative law"	0.0412655
hegemony	0.0411858
enforcement	0.0410592
"toy retailer"	0.0410097
"Food and Drug Administration"	0.0409652
"Strategic Petroleum Reserve"	0.0409508
"regulatory authority"	0.0405833
"economic condition"	0.0405785
Miranda	0.0405279
"import duty"	0.0403413
"security interest"	0.0401053
))
("antitrust regulator" (desc 3108.09) (sims
"Federal Trade Commission"	0.169143
regulator	0.167907
"Securities and Exchange Commission"	0.136664
"Federal Communications Commission"	0.13173
"Food and Drug Administration"	0.12989
FTC	0.126494
"Occupational Safety and Health Administration"	0.126104
FCC	0.118321
"regulatory agency"	0.110042
"Nuclear Regulatory Commission"	0.108849
"U.N. Sanctions Committee"	0.103097
"Department of Justice"	0.10297
"Guardians Council"	0.0980576
"Department of Transportation"	0.0928201
"Consumer Product Safety Commission"	0.0922387
"appellate court"	0.0921363
"Justice Department"	0.0912529
"Senate Judiciary Committee"	0.0908437
FDA	0.089979
EPA	0.0891544
"Financial Supervisory Agency"	0.0883972
"Philippine Senate"	0.0870855
"US Supreme Court"	0.0851489
"Justice Ministry"	0.0845047
"federal official"	0.0838486
"Environmental Protection Agency"	0.0833742
"EU Commission"	0.0830209
FAA	0.0813435
"Supreme Judicial Court"	0.0804577
"General Accounting Office"	0.0804106
censor	0.0793962
"European Commission"	0.0793507
"Equal Employment Opportunity Commission"	0.0792683
"insurance regulator"	0.078648
policy-makers	0.0783173
auditor	0.0776218
SEC	0.0768573
"Transportation Department"	0.0762919
"Interior Department"	0.0762888
"federal court"	0.076244
IRS	0.0759848
"Department of Labor"	0.0758749
"North Atlantic Council"	0.0755434
"Ethics Commission"	0.0751297
"British government"	0.0750592
"Commission on Elections"	0.074861
"regulatory authority"	0.0746276
ITF	0.0745006
Broek	0.0742599
"high court"	0.074082
"European Court of Human Rights"	0.0738901
"planning commission"	0.0737328
"Federal Reserve Board"	0.0736324
"Internal Revenue Service"	0.0734197
"board of regents"	0.0731017
"Public Service Commission"	0.0722761
"Office of Management and Budget"	0.0719963
"appeals court"	0.0712541
"Federal Aviation Administration"	0.070934
"union member"	0.0699698
"policy maker"	0.0698274
GC	0.0694877
"ethics committee"	0.069412
CSRC	0.0694045
"U.S. Supreme Court"	0.0693757
NLRB	0.068903
"U.N. Security Council"	0.068899
"election commission"	0.0688836
"Civil Aviation Administration of China"	0.0685782
"Central Bureau of Investigation"	0.0684459
"Bill Lockyer"	0.0681534
Ruthardt	0.0674478
"U.S. Environmental Protection Agency"	0.0672232
"patent office"	0.0670816
EEOC	0.0670486
"Sanctions Committee"	0.0667023
"Guardian Council"	0.0665592
watchdog	0.0661472
"Immigration and Naturalization Service"	0.0651681
policymakers	0.0649918
"Clinton Administration"	0.0649741
"member nation"	0.064974
NRC	0.0647481
bargainer	0.0646574
"Energy Department"	0.0646234
"United States government"	0.0642286
"U.S. Army Corps of Engineers"	0.0639399
"financial officer"	0.0639164
Gunmakers	0.0638814
"Department of Housing and Urban Development"	0.0638733
"lower court"	0.06384
creditor	0.0636569
"Health Department"	0.0631852
Magistrate	0.0627989
"Board of Supervisors"	0.0626719
"Senate Finance Committee"	0.0626712
"Nevada Athletic Commission"	0.0625414
"Jack Straw"	0.0620819
"Department of Agriculture"	0.0620524
"Court of Arbitration"	0.0618733
"U.S. Administration"	0.0617437
stockholder	0.0616438
"board of education"	0.0616038
"Treasury Department"	0.0615492
"Health Care Financing Administration"	0.0615165
"American Civil Liberties Union"	0.0614173
"National Academy of Sciences"	0.0614097
ACLU	0.0613659
"Janet Reno"	0.0613633
"House Appropriations Committee"	0.0612389
"school board"	0.0612101
officals	0.0610912
"antitrust law"	0.0609995
"New York Civil Liberties Union"	0.0609904
"Organization of American States"	0.0608503
higher-up	0.06074
"Philippine Central Bank"	0.0605991
"John Cornyn"	0.060556
"District Court"	0.0602781
hard-liner	0.0602748
"Texas Legislature"	0.0601882
Kulikov	0.0600653
"Parades Commission"	0.0599907
"Federal Election Commission"	0.0596198
"Israeli Cabinet"	0.059482
"Bureau of Indian Affairs"	0.0593423
"Senate Appropriations Committee"	0.0593196
"Department of Education"	0.0591923
Duma	0.059044
"Labor office"	0.0590219
INS	0.0587714
"Senate Republicans"	0.05862
"State Planning Commission"	0.0585594
statistician	0.0585287
"court of appeals"	0.0584951
"National Association of Securities Dealers"	0.0581947
"city council"	0.0580433
"U.S. District Court"	0.0579397
"Education Ministry"	0.0578749
Carollo	0.0576284
"Department of Motor Vehicles"	0.0574565
"business community"	0.0572268
"Robert Aventajado"	0.0571161
"Constitutional Court"	0.0570732
UEFA	0.0570301
"United Nations Security Council"	0.0568521
"Department of Corrections"	0.0566104
"Electronic Privacy Information Center"	0.0565532
"Agriculture Department"	0.0565455
"Commerce Department"	0.0562989
"legal expert"	0.0562776
"Voting Rights Act"	0.0560686
Allchin	0.0559038
whistleblowers	0.0558214
Preval	0.0557577
"Economic and Monetary Union"	0.0556017
"China Securities Regulatory Commission"	0.0556009
steelmaker	0.055515
"Judiciary Committee"	0.0554644
USDA	0.0554451
"Elyakim Rubinstein"	0.0552237
"Agriculture Ministry"	0.054939
CMAG	0.0549271
"House Judiciary Committee"	0.0548361
FEC	0.0545435
"U.S. State Department"	0.0544487
"Los Angeles City Council"	0.0544306
traditionalist	0.0544047
"welfare worker"	0.0543591
"National Labor Relations Board"	0.0542672
"Texas Supreme Court"	0.0542345
Caddell	0.0540769
"Defense Department"	0.0537681
Espinosa	0.0537021
CFTC	0.053579
"Federation Council"	0.0535306
"Drug Enforcement Administration"	0.0534152
"Department of Defense"	0.0532508
"William Cohen"	0.0530805
"Football Association"	0.0530323
Directorate	0.0529011
"law officer"	0.052744
"futures exchange"	0.0526208
CSA	0.0525736
"International Tennis Federation"	0.0525388
"Agenda @@@@"	0.0523297
"Israeli Knesset"	0.0521767
"Dennis Vacco"	0.0520258
"executive branch"	0.0519954
CITES	0.0519843
"Kenyan Government"	0.0518774
FIFA	0.0517538
GPU	0.0516793
"Forest Service"	0.0516157
Arianespace	0.0515999
"margin call"	0.0515559
"finance committee"	0.0512598
"International Olympic Committee"	0.051255
Teresi	0.0512392
Boorman	0.0510906
))
(antler (desc 7101.35) (sims
"hunting season"	0.0651953
Kashima	0.0632474
hoof	0.060909
carcass	0.0584343
droppings	0.0577504
fur	0.0560654
Horn	0.0557521
"Jubilo Iwata"	0.053769
intestine	0.049455
tusk	0.0472886
tentacle	0.0464163
"red deer"	0.0455376
Sautin	0.0448949
skull	0.0443199
moustache	0.0440783
oxen	0.043916
elk	0.043114
fossil	0.0430441
plumage	0.0429271
"VfL Wolfsburg"	0.0426652
feather	0.0422931
"lower jaw"	0.0422314
brogue	0.0421556
echinacea	0.0407069
"internal organ"	0.0404436
))
(Antley (desc 2100.62) (sims
"Chris Antley"	0.14496
Valenzuela	0.131038
Solis	0.128425
Atler	0.12817
Krone	0.125928
McCarron	0.1258
Pincay	0.119776
Guthridge	0.107949
Inman	0.107364
Samuelson	0.104203
Kagwe	0.100103
Dunleavy	0.0954257
Rahal	0.0953448
Waltrip	0.0950359
Cooley	0.0937616
Herta	0.0936525
Monson	0.0918012
Rubenstein	0.0908559
Goldin	0.0906781
Desormeaux	0.0902048
Ottey	0.09006
Wilkens	0.0884947
Bustamante	0.0881993
Rutledge	0.0873151
Tallas	0.0870908
Gagne	0.0867714
Goossen	0.0860447
Meche	0.086025
Whitsitt	0.084866
Coelho	0.0848202
Dragila	0.0840909
Pantani	0.0837021
Zito	0.0836911
Ito	0.0836869
Julich	0.083377
craven	0.0829933
Calvary	0.0816796
beamer	0.0815999
Harnisch	0.0815427
Ikeda	0.0815155
Ruehe	0.0815063
Soldini	0.0814083
Pruett	0.0812051
Takahashi	0.0808781
Roba	0.0803731
"John Paul"	0.0800531
Briscoe	0.0797634
Perisho	0.079727
Bibby	0.0795975
Sherrill	0.0792289
"Jorge Chavez"	0.0792014
Ceballos	0.0785855
Abernathy	0.0785389
Kessler	0.0785381
Shoate	0.0782612
Baugh	0.0781532
Saberhagen	0.0781216
Bullard	0.0780815
Braswell	0.0780061
"Earnhardt Jr."	0.07794
Carollo	0.0778021
Marinovich	0.0777302
Devers	0.0775146
Alou	0.0774568
Barros	0.0774336
Jauron	0.0773259
Baez	0.0772314
Alford	0.0771034
Pegram	0.077038
Alarcon	0.0769614
Summitt	0.076742
Marineau	0.0766989
Gullit	0.0766442
Insulza	0.0766247
Finkel	0.0765845
Wagoner	0.0763442
Gascoigne	0.0762634
Kyprianou	0.0758821
Solich	0.0753181
Nicol	0.0750259
Hornaday	0.074543
Khannouchi	0.0743959
Talebi	0.0742576
Verney	0.0742496
Meissner	0.0741098
Ochoa	0.0740492
"Gary Stevens"	0.0739944
Boldon	0.0739395
Najera	0.0738754
Hansen	0.0738722
Ainge	0.0738394
Grasso	0.0736717
Bochy	0.0735499
"Laffit Pincay"	0.0732186
Brazill	0.073128
Milutinovic	0.0728408
Tomba	0.0726427
Fisk	0.0723838
Kumar	0.0722872
Bidwill	0.072191
Gallinger	0.0720878
Walden	0.0719766
Sheehan	0.0719335
McDOWELL	0.0719077
Nadler	0.0718524
Jennings	0.0717713
Tanui	0.0717476
Brister	0.0716793
Donnan	0.071444
Smyers	0.0714362
Fuentes	0.0713405
Sahadi	0.0710748
Timms	0.0710507
Vermeil	0.0709136
Heinrichs	0.0708218
Munson	0.0707728
Scot	0.0706679
Langham	0.0706406
Bergeron	0.070579
Ebersol	0.0705601
Baerga	0.0705463
Kuhn	0.0705371
Rooney	0.070482
Gossage	0.0703019
Dion	0.070165
Jeffers	0.0700895
Soyinka	0.0699984
Abdur-Rahim	0.069803
Lowry	0.0697428
Fassel	0.069664
Schmid	0.0696622
Szabo	0.0696134
Wheatley	0.0696023
Belcher	0.0695689
"Jerry Bailey"	0.06954
Piot	0.0695017
Runyan	0.0694394
Cowan	0.0693359
Doohan	0.0692673
Odom	0.0692562
Harrick	0.0692472
Gooden	0.0692092
Hiddink	0.0690422
Hayworth	0.0690302
Flores	0.0689513
Reinhardt	0.0688969
DONOVAN	0.0688916
"Van Exel"	0.0688417
Murrell	0.0687189
Kanell	0.0686846
Hyman	0.0685768
Sakic	0.0685393
Cayard	0.0685125
Monahan	0.0684035
bailey	0.0682634
Suppan	0.0682516
Bettman	0.0681982
"Pat Day"	0.0681885
Hargrove	0.0681289
Zimmer	0.0680967
Headley	0.0680318
Holtz	0.0679964
Groh	0.067899
Layden	0.0678856
Schuerholz	0.0678383
Silas	0.0677049
Christie	0.067696
Ratner	0.0676934
Borbon	0.0676176
Patel	0.0674875
Woodson	0.0674584
shoemaker	0.0674324
Rossotti	0.0672958
Akers	0.0672529
Joyner-Kersee	0.0672304
Barnett	0.0672222
Virenque	0.0670813
Naipaul	0.0670768
Quigley	0.0670124
Bertelli	0.0668974
Capel	0.0668755
Neilson	0.0668039
Timlin	0.0667135
Conroy	0.0667031
Bierhoff	0.0666127
Mora	0.0665583
Olsen	0.0664941
MALICK	0.0664217
Camacho	0.0663764
Kipketer	0.0663325
Flutie	0.0663213
Hickman	0.0662945
Manley	0.06627
silber	0.066257
Zambrano	0.0662135
"Dale Jr."	0.0662096
Cota	0.0661614
Parris	0.0661404
Pippig	0.0660831
Lawrie	0.0660048
))
(Antoine (desc 2137.23) (sims
"Raef LaFrentz"	0.085917
"Danny Fortson"	0.0769352
"Antoine Walker"	0.0757729
Ratner	0.0685109
Nasrin	0.0670918
Briere	0.0664827
McIlvaine	0.0629601
Jamie	0.0625438
Schwarz	0.0598891
Mercurio	0.0588602
Potapenko	0.0577212
Martina	0.0576493
Musa	0.0572896
Kenny	0.0571777
"Grant Long"	0.0570918
Dougherty	0.0566181
Dora	0.0557847
"Jarvis Turner"	0.0549881
"Ron Mercer"	0.0548112
"J.R Reid"	0.0538365
Keith	0.0523664
"P.J Brown"	0.0520257
Scottie	0.0518827
Reichel	0.0515631
Yashin	0.0513902
Gatti	0.0511558
"Wang Tao"	0.0511411
Kalejs	0.0506761
Harcourt	0.0502563
"Kenyon Martin"	0.049816
"Rick Tocchet"	0.0496267
Timmy	0.0491961
Turetzky	0.049178
"Adrian Griffin"	0.0490956
Langenbrunner	0.0490143
Cowens	0.0488429
Tevanian	0.0487997
Mateo	0.0486679
Swenson	0.0485511
Imperatori	0.048551
Applegate	0.0483933
"Michael Wright"	0.0480296
"Gabe Muoneke"	0.0478352
Mercer	0.0476298
Alvarez	0.0475335
Deion	0.0474205
Dominic	0.0469253
Candiotti	0.0468849
McCarty	0.046824
Sacco	0.0467956
Ulrich	0.0463477
"Mark Madsen"	0.0462815
Pitino	0.0461381
Arnett	0.046108
Luc	0.0459518
Veronica	0.0457787
Daryl	0.0456564
"Kevin Freeman"	0.0454781
Duchesne	0.0451927
"Cliff Ronning"	0.0448784
"Kenny Anderson"	0.0446216
wattle	0.0445127
Gremio	0.0444877
Elie	0.0444586
Randy	0.0444485
"Chris Crawford"	0.0442837
Fuhr	0.0441938
Godfrey	0.0440061
Schmalensee	0.0439564
"Rodney Rogers"	0.0437217
McAlister	0.0437044
Newsome	0.0435984
McGinest	0.0435417
Donato	0.0435366
DeShields	0.0435342
Fortier	0.0435309
Radke	0.043416
"Darrell Green"	0.0433939
Sasha	0.0433852
Corey	0.0433535
Nivel	0.0431409
Tammy	0.0430282
Longo	0.0430109
"Sam Clancy"	0.0429526
Alioto	0.0429476
Danny	0.0428631
Monahan	0.0426639
"Jessie Tuggle"	0.0426495
Farrakhan	0.0424546
Cavallo	0.0424303
Deane	0.0423874
Waugh	0.0423096
"Matt Harpring"	0.0423013
Zeile	0.0421686
"Doug Glanville"	0.0420667
Leetch	0.0420192
"Joe Murphy"	0.0419509
Kessler	0.0418808
Traylor	0.0418407
"Alan Henderson"	0.0417648
Bernie	0.0416557
"Tamika Catchings"	0.0416106
"Keith Tkachuk"	0.0414974
"Dale Hunter"	0.0414273
Rick	0.0413916
"Jar Jar"	0.0412392
Robbie	0.041208
Walbeck	0.0411609
"Landon Wilson"	0.0411046
Warne	0.0410759
Coffey	0.0409159
Latrell	0.0408827
"Theo Ratliff"	0.0408462
"Theo Fleury"	0.040819
Laudrup	0.0407907
RICO	0.0407695
"Phenix City"	0.0407413
"Fighting Irish"	0.0407099
Pyle	0.0406542
Sehorn	0.0406424
Kushner	0.0406417
"Maurice Taylor"	0.0405841
Iglesias	0.0405439
Kevin	0.0405369
Szczerbiak	0.040438
Derek	0.0403972
Ruggiero	0.0403863
Unser	0.0403487
Spellman	0.0403374
Dempsey	0.0403011
Campos	0.0402785
Najera	0.0402051
"Lance Johnson"	0.0401704
MacCulloch	0.0401384
"Brendan Shanahan"	0.0401175
"Marty McSorley"	0.0400364
Polgar	0.0400284
))
("Antoine Carr" (desc 2734.31) (sims
"Matt Maloney"	0.333671
"Brent Price"	0.303335
"Othella Harrington"	0.275261
"Tony Massenburg"	0.246996
"Shandon Anderson"	0.234443
"Matt Bullard"	0.211974
"Michael Dickerson"	0.195869
"Kenny Thomas"	0.16549
"Sam Mack"	0.164538
"Hakeem Olajuwon"	0.160812
"Bryce Drew"	0.151148
"Bryon Russell"	0.148534
"Grant Long"	0.148338
"Kevin Willis"	0.141415
"Sean Rooks"	0.141353
"Brian Skinner"	0.13915
"Danny Fortson"	0.131823
Olajuwon	0.130476
"Mark Bryant"	0.13007
"Scot Pollard"	0.127404
"John Stockton"	0.12184
"Howard Eisley"	0.121295
"Cuttino Mobley"	0.119297
"Joe Kleine"	0.118939
"Greg Ostertag"	0.116905
"Clarence Weatherspoon"	0.115865
"Otis Thorpe"	0.115742
"Raef LaFrentz"	0.115299
"Scottie Pippen"	0.111794
"Brian Scalabrine"	0.110384
"Walt Williams"	0.109815
"Jarvis Turner"	0.109467
"Charles Barkley"	0.108169
"Gary Trent"	0.104789
"Jelani McCoy"	0.103584
"Mario Elie"	0.103115
"CORIE BLOUNT"	0.102412
"Tony Hutson"	0.101502
"Kelvin Cato"	0.101429
"Dickey Simpkins"	0.100879
"Lorenzen Wright"	0.100691
"Jeff Hornacek"	0.0997126
"Kenyon Martin"	0.0994381
"Sean Farnham"	0.0981764
"Clyde Drexler"	0.0978866
"Chris Gatling"	0.0974881
"Etan Thomas"	0.0962904
"John Wallace"	0.0961634
"Travis Knight"	0.0954515
"Samaki Walker"	0.0953947
"Clifford Robinson"	0.0947947
"Don Maclean"	0.0946226
"Antonio McDyess"	0.094011
"Rashard Lewis"	0.0938323
"Elden Campbell"	0.0924815
"Dennis Scott"	0.0920102
"Olli Jokinen"	0.0916063
"Rodney Rogers"	0.0913493
"John Salley"	0.0912569
"Karl Malone"	0.0908348
"Detlef Schrempf"	0.0904838
"Shawn Kemp"	0.0903688
"Horace Grant"	0.0892216
"Brad Miller"	0.0891821
"Austin Croshere"	0.0887508
"Scott Zolak"	0.0886963
"Richard Jefferson"	0.0886427
"Greg Foster"	0.0881844
"Derrick Coleman"	0.0878171
"Jermaine O'Neal"	0.0878053
"Luc Longley"	0.0864504
"Danny Manning"	0.0859048
"Zydrunas Ilgauskas"	0.085447
"Brian Grant"	0.0852611
"Aaron Williams"	0.0847037
"Dave Brown"	0.0844319
"Cliff Ronning"	0.0843664
"Shannon MacMillan"	0.0838665
"Sam Perkins"	0.0834012
"Shareef Abdur-Rahim"	0.0830579
"Chris Porter"	0.0823093
"Matt Harpring"	0.0815469
"Rasheed Wallace"	0.0814341
"Lamond Murray"	0.0810778
"Donyell Marshall"	0.0808807
"Dale Hunter"	0.0808238
"David Robinson"	0.0803753
"Jerome Moiso"	0.0799918
"Antonio Davis"	0.0796837
"Mike Sullivan"	0.0796561
"Robert Horry"	0.0790866
"J.R Reid"	0.0781089
"Doug Gilmour"	0.0779691
"SCOTT BURRELL"	0.0778647
"Jayson Williams"	0.0775154
"Sherman Douglas"	0.0773544
"Derek Plante"	0.076792
"Rick Fox"	0.0763404
"Steve DeBerg"	0.07567
"Greg Anthony"	0.0755933
"Alexei Kovalev"	0.0755742
"Chris Taylor"	0.0753905
"Mark Madsen"	0.0753652
"Lee Nailon"	0.0751173
"Alan Henderson"	0.074742
"Bill Wennington"	0.0745024
"Theo Ratliff"	0.0744352
"Steve Francis"	0.0742984
"Chris Warren"	0.0740123
"George McCloud"	0.073737
"P.J Brown"	0.073147
"Shawn Marion"	0.0731022
"Pat Garrity"	0.0730846
"Vlade Divac"	0.0725984
"Joe Juneau"	0.0724832
"Predrag Mijatovic"	0.0722669
"Brian Skrudland"	0.0722551
"Corliss Williamson"	0.0719143
"Bobby Phills"	0.0716669
"Joe Thornton"	0.0714001
"Patrik Stefan"	0.0712201
"Dan Majerle"	0.0712117
"Chris Anstey"	0.0711537
"Herb Williams"	0.0703552
"Sam Clancy"	0.0698973
"Ian Wright"	0.0693115
"Derek Harper"	0.0690653
"Tony Graziani"	0.068552
Maloney	0.068395
"Natalie Williams"	0.0679753
"Michael Smith"	0.0677293
"Peter Forsberg"	0.0674557
"Jerome Kersey"	0.0671994
"Jamie Feick"	0.0668159
"Kevin Mathis"	0.0667583
"Brian McBride"	0.0666394
"Tamika Catchings"	0.0666044
"Pierre Turgeon"	0.0665554
"Todd Harvey"	0.0661443
"Rico Hines"	0.066114
"Olden Polynice"	0.066107
Santangelo	0.065976
Pippen	0.0659722
"Sergei Fedorov"	0.0659721
"Tyrone Nesby"	0.0655392
"Chris Crawford"	0.0654607
"Maurice Taylor"	0.0654323
"Terry Porter"	0.0654314
"Bill Haselman"	0.0643005
"Gabe Muoneke"	0.0641756
"Doug Pederson"	0.0641579
"Erik Kramer"	0.0640859
"Dale Davis"	0.0639322
"Mitch Richmond"	0.063893
"Ron Artest"	0.0636836
"JaRon Rush"	0.0636349
"Will Perdue"	0.0634934
"Christian Laettner"	0.0634701
"Oliver Miller"	0.0634624
"Jim Druckenmiller"	0.0632599
"Morris Peterson"	0.0629368
"Dan Gadzuric"	0.0623159
"Tom Gugliotta"	0.0620265
"Vincent Damphousse"	0.0618842
"Todd MacCulloch"	0.061772
"Dave Andreychuk"	0.0617214
"Kris Clack"	0.0615941
"Dennis Rodman"	0.0615051
"Keith Van Horn"	0.0614602
"Ray Ferraro"	0.0611361
"Billy Owens"	0.0608974
"Matt Geiger"	0.0608794
"Luis Sojo"	0.0608466
"Paul Justin"	0.0607367
"Chris Drury"	0.0606954
"Teddy Sheringham"	0.060544
"Matt Barnes"	0.0604765
"Dejan Savicevic"	0.0603967
"Vin Baker"	0.0602764
"Dale Ellis"	0.0602399
"Drew Bennett"	0.0600965
Hornacek	0.0600353
"LaPhonso Ellis"	0.059787
"Wang Tao"	0.0596318
"A.C. Green"	0.0595339
"Chris Mullin"	0.0595116
"Roy Rogers"	0.0594783
"Greg Adams"	0.0593625
"Guy Carbonneau"	0.0592166
"Steve Kerr"	0.0591067
"DeLisha Milton"	0.0591063
"Bonzi Wells"	0.0590467
"Michael Wright"	0.0589982
"Mike Bibby"	0.0589762
"Ante Razov"	0.0589674
"Dave Wohlabaugh"	0.0588829
"Tim Duncan"	0.0588634
"Doug Weight"	0.0588117
"Joe Sakic"	0.0586297
"Jumaine Jones"	0.0583491
))
("Antoine Walker" (desc 5945.4) (sims
"Paul Pierce"	0.266414
"Kenny Anderson"	0.257518
"Ron Mercer"	0.243078
"Shareef Abdur-Rahim"	0.206049
"Dana Barros"	0.193793
"Stephon Marbury"	0.193275
"Vince Carter"	0.192337
"Raef LaFrentz"	0.188311
"Vitaly Potapenko"	0.176801
"Keith Van Horn"	0.17171
"Ray Allen"	0.16791
"Kevin Garnett"	0.167749
"Grant Hill"	0.158224
"Adrian Griffin"	0.156595
"Allen Iverson"	0.149416
"Tony Battie"	0.146836
"Danny Fortson"	0.141078
"Maurice Taylor"	0.137635
"Derek Anderson"	0.136208
"Michael Finley"	0.134765
"Mike Bibby"	0.132542
"Zydrunas Ilgauskas"	0.13233
"Jason Williams"	0.130551
"Alonzo Mourning"	0.12984
"Antawn Jamison"	0.129477
"Juwan Howard"	0.129285
"Donyell Marshall"	0.128054
"Antonio McDyess"	0.126569
"Darrell Armstrong"	0.126543
"Shawn Kemp"	0.125758
"Chris Webber"	0.124699
"Tracy McGrady"	0.124469
"Jayson Williams"	0.124169
"Kobe Bryant"	0.123505
"Derrick Coleman"	0.121101
Mercer	0.120601
"Joe Smith"	0.120018
"Glen Rice"	0.118996
"Jason Kidd"	0.118262
"Gary Payton"	0.117967
"Nick Anderson"	0.116676
"Kerry Kittles"	0.116139
"Vin Baker"	0.115547
"Reggie Miller"	0.113851
"Penny Hardaway"	0.112107
"CORIE BLOUNT"	0.111276
"Latrell Sprewell"	0.110926
"Tim Hardaway"	0.110787
"Nick Van Exel"	0.110574
"Reggie Lewis"	0.109823
"Eddie Jones"	0.10915
"Rick Fox"	0.107279
"Lamond Murray"	0.105678
"Glenn Robinson"	0.104687
"Terrell Brandon"	0.104319
"Chauncey Billups"	0.103335
"Sam Cassell"	0.101715
"Hakeem Olajuwon"	0.10154
"Tom Gugliotta"	0.101477
"Cliff Robinson"	0.0998038
"Shaquille O'Neal"	0.0994594
"Jalen Rose"	0.0987435
"Austin Croshere"	0.0978152
"Van Horn"	0.0956551
"Tim Duncan"	0.0951208
Potapenko	0.095109
"Antonio Daniels"	0.0947514
"Walter McCarty"	0.0945922
"Marcus Camby"	0.0942252
"Robert Horry"	0.0935522
"Allan Houston"	0.0934536
"Tim Thomas"	0.092797
"Rasheed Wallace"	0.0924405
"Steve Smith"	0.0917306
"Ron Harper"	0.091045
"Patrick Ewing"	0.0907403
"Eric Snow"	0.0906764
"Toni Kukoc"	0.0906678
"Damon Stoudamire"	0.0897771
"Shawn Marion"	0.0896864
"Scottie Pippen"	0.0891052
"Karl Malone"	0.0880536
MARBURY	0.0869742
"Hu Weidong"	0.0860201
"Christian Laettner"	0.0856933
"Elton Brand"	0.0854262
"Bob Sura"	0.0854189
"Dirk Nowitzki"	0.0852774
"Dikembe Mutombo"	0.0849565
"Antonio Davis"	0.0843294
"Sun Wen"	0.0836873
"Kendall Gill"	0.0835181
"David Robinson"	0.0832344
"Dennis Scott"	0.0832194
"Gabe Muoneke"	0.0831513
"Chris Gatling"	0.0822465
"Ron Artest"	0.0822459
"Tyrone Nesby"	0.0822176
"Rod Strickland"	0.082032
"Horace Grant"	0.0812994
"Charles Barkley"	0.0812607
"Larry Johnson"	0.0809893
"Michael Dickerson"	0.0809319
"Sean Elliott"	0.0809089
"Eric Lindros"	0.0805473
"Jamal Mashburn"	0.080499
"Chris Mills"	0.0802774
"Matt Harpring"	0.0801555
"Kurt Thomas"	0.0798438
"Sheryl Swoopes"	0.0795754
"Alan Henderson"	0.0791227
"Mitch Richmond"	0.0788092
"Rony Seikaly"	0.0785145
"Chamique Holdsclaw"	0.0784464
O'Neal	0.0783776
"Tamika Catchings"	0.0779518
Tkachuk	0.0777511
"Ruben Patterson"	0.0774023
"DeLisha Milton"	0.0771118
"Bobby Phills"	0.0769602
"Jamie Feick"	0.0764952
"Elden Campbell"	0.0759345
Antoine	0.0757729
"Rodney Rogers"	0.0757025
"Jerome Moiso"	0.0753811
walker	0.0753761
"Larry Hughes"	0.0751998
"Michael Olowokandi"	0.0751728
"Othella Harrington"	0.0750635
"Corliss Williamson"	0.07461
"Cedric Ceballos"	0.0745351
"Rashard Lewis"	0.0744305
Nowitzki	0.0741919
"P.J Brown"	0.0737804
"Jumaine Jones"	0.0735007
"Theo Fleury"	0.0727926
"Tina Thompson"	0.0725221
Garnett	0.0724864
"SCOTT BURRELL"	0.0717596
Fizer	0.071703
"Ziggy Palffy"	0.0714077
"Wally Szczerbiak"	0.0713974
"Vlade Divac"	0.0710353
"Michael Wright"	0.0709917
"Dejan Savicevic"	0.0709667
Pierce	0.0709279
Mashburn	0.0708694
"Chris Porter"	0.0705654
"Eric Wynalda"	0.0704071
Kidd	0.070396
"Clifford Robinson"	0.0703783
"John Stockton"	0.0698944
"Arvydas Sabonis"	0.0698355
"Isaiah Rider"	0.0696532
"A.C. Green"	0.0694837
"Brevin Knight"	0.0692606
"Avery Johnson"	0.0690964
"Anthony Mason"	0.0690694
Ceballos	0.0689293
"Lamar Odom"	0.0687214
"Bryon Russell"	0.068665
"John Havlicek"	0.068648
"Yolanda Griffith"	0.068606
"Jaren Jackson"	0.068571
"George McCloud"	0.0683945
"Pavel Bure"	0.06782
"Cliff Ronning"	0.0678121
"Bruce Bowen"	0.0678014
"J.R Reid"	0.0676728
"ZIGMUND PALFFY"	0.0675943
"Keith Tkachuk"	0.0673329
"John LeClair"	0.0672548
"JaRon Rush"	0.0671123
"Mookie Blaylock"	0.0670942
"Dale Davis"	0.0666182
"Richard Jefferson"	0.0662868
"Howard Eisley"	0.0661329
Horry	0.0659996
Olowokandi	0.0659261
"Clarence Weatherspoon"	0.0657943
"Marcus Fizer"	0.065792
"Van Exel"	0.0657637
"Jerome Kersey"	0.0657534
"Dominique Wilkins"	0.0656118
"Shannon MacMillan"	0.0653336
"Lisa Leslie"	0.0653126
"Ian Wright"	0.0650294
"John Wallace"	0.0647828
"Jaromir Jagr"	0.064722
"Charlie Ward"	0.0644638
"Predrag Mijatovic"	0.0644635
"Mia Hamm"	0.0643544
Gugliotta	0.0641299
"Kenyon Martin"	0.0641087
Gillom	0.0639765
"Brian Grant"	0.063904
"Richard Hamilton"	0.0638739
"Matt Bullard"	0.0638307
"Charles Oakley"	0.063585
"Derek Fisher"	0.063554
))
(Anton (desc 2444.46) (sims
Hornaday	0.0827687
Denis	0.0807771
Vincent	0.0737796
Kagwe	0.0729894
Summitt	0.0713177
Hendrickson	0.0696016
Calcavecchia	0.0694162
Hamill	0.0689282
Andre	0.0681174
Tanui	0.067695
Stoneman	0.0665385
Khannouchi	0.0661299
Maier	0.0660158
Moxley	0.0659521
Klim	0.0657323
Solis	0.0653165
Doyle	0.0652903
Ftorek	0.065273
Elam	0.0646975
Dunleavy	0.0644563
Louis	0.0643273
Joel	0.063627
Zucker	0.0630743
Rahal	0.062862
Kingsley	0.0622988
Manuel	0.0622673
Ali	0.0622181
Milbury	0.0620254
"La Russa"	0.0618627
Appleby	0.061649
Paxon	0.061556
Petersburg	0.0614237
Ulrich	0.061111
Stubbs	0.0610551
Antley	0.060954
Atler	0.0608557
Patrick	0.0606851
Greg	0.0594712
O'Sullivan	0.0594661
Godina	0.059451
Forrest	0.0592387
Lowery	0.0591837
Barrie	0.0591295
Jeb	0.0591255
Briscoe	0.0590226
Loroupe	0.0585656
Rosenblatt	0.058344
Regan	0.0582916
Sahadi	0.0581861
Michel	0.057995
Finney	0.0579588
Sautin	0.0575747
Tomba	0.0572689
Fagan	0.0571305
Stephen	0.0569582
Joyner-Kersee	0.0569144
Crocker	0.05684
Cline	0.0567727
Gosper	0.0567224
Dunne	0.0563861
Gervin	0.0559908
Makinen	0.0558289
Noel	0.0557416
Gerald	0.0556629
Ed	0.0554661
Piot	0.0552638
Tapia	0.0551249
Grasso	0.0551241
Goetschl	0.0550888
Darryl	0.055057
Zachary	0.0549113
Vladimir	0.0546952
Szabo	0.0545265
Hakkinen	0.0545238
Ochoa	0.0543908
Waltrip	0.0542043
McAuliffe	0.054199
Anthony	0.0541634
Padilla	0.0540134
Okada	0.0538413
Meredith	0.0537989
Advani	0.0537901
Hearn	0.0537748
Popov	0.0536829
Nunez	0.0536801
Luke	0.0536441
Kyle	0.0536219
Samuelson	0.0535786
Romanowski	0.0535621
Curley	0.053489
Meggett	0.053445
Fred	0.0534232
Butyrskaya	0.0533359
Irvan	0.0532526
Virenque	0.05324
Lucia	0.0531644
Harry	0.0531611
Bain	0.0531603
DeFrantz	0.0531569
Grunwald	0.0531313
Neulander	0.0531094
Capel	0.0530868
Edelstein	0.0530762
McMillan	0.052964
Felix	0.0528397
Ralph	0.052783
Monahan	0.0526156
Burke	0.0524548
Theo	0.052428
Joseph	0.0524222
Rongen	0.05241
Beazley	0.052381
Heyns	0.0523738
Ivan	0.052366
Sperling	0.0523069
Kumar	0.0522416
wheeler	0.0522157
Finkel	0.0521965
ex-husband	0.0520698
Cipollini	0.0520374
Musa	0.0519347
Brent	0.0519051
Izzo	0.0518772
Natalie	0.0518543
Clements	0.0517753
Guthridge	0.0517175
"Matthew Shepard"	0.0516933
Brock	0.0516841
Bavasi	0.0516781
Stevenson	0.051551
Neff	0.051549
Newell	0.0513892
Andrew	0.0512733
Caddell	0.0512553
Eli	0.0511599
Najera	0.0510993
Schott	0.0510643
Westbrook	0.0509685
Wenger	0.050949
Hirst	0.0509314
Olano	0.0509039
Sehorn	0.0508781
Mandella	0.050787
Wiley	0.0507867
Kluivert	0.0507751
ISSEL	0.0507544
Wilkens	0.0507402
Kwan	0.0506884
Morse	0.0505958
Roba	0.0505626
Esposito	0.0505181
Devers	0.0504588
Sorensen	0.0504389
Arbour	0.0503179
Danny	0.0502167
Bochy	0.050201
Magee	0.0501567
Roberto	0.0500498
Michaels	0.0500437
Hadley	0.0499647
Ruehe	0.0499621
Dungy	0.0499543
tiller	0.0499532
Josh	0.0499394
Brian	0.0499212
Paterno	0.0499082
Conroy	0.0498364
Andrews	0.0497416
Justin	0.049741
Alex	0.0496942
Eric	0.0496648
Diouf	0.0495762
Patel	0.0495307
Matthew	0.0495285
cain	0.0495094
Bellush	0.0494403
Desormeaux	0.0493675
GAGE	0.0493611
Zuma	0.0493224
Landry	0.0493192
Bratton	0.0493015
Neilson	0.049275
Wagoner	0.0492395
Inman	0.0490999
Bronfman	0.0490476
Biffle	0.049013
Shinn	0.0489242
Messier	0.0489097
Jeffrey	0.0488911
Liam	0.0488867
Bonner	0.0488765
Alford	0.0488395
Chilavert	0.048757
Sheehan	0.0486853
fritz	0.0486319
Gardiner	0.0486309
Steven	0.0485661
Chastain	0.0485393
"Leigh Ann"	0.0485317
Krone	0.0485073
))
("Antonin Scalia" (desc 2148.88) (sims
"Sandra Day O'Connor"	0.61143
"Ruth Bader Ginsburg"	0.549925
"Clarence Thomas"	0.353883
Ginsburg	0.244503
Scalia	0.161352
Souter	0.145364
O'Connor	0.144817
Breyer	0.1401
"Anita Hill"	0.132135
"Thurgood Marshall"	0.106968
"Robert Bork"	0.0706863
Dept	0.0608153
Blackmun	0.0571196
Ginsberg	0.0474957
))
(Antonio (desc 5026.22) (sims
Juan	0.135694
Eduardo	0.101452
Tim	0.0871793
Walter	0.0849517
Rick	0.0832845
Danny	0.079606
Jeff	0.0783358
Carl	0.0773165
Bobby	0.077245
Mario	0.0757895
Alan	0.075635
Neil	0.0749373
Cathy	0.0746078
Jeb	0.073714
Ron	0.0725368
Gerald	0.0718504
Robbie	0.0718115
Randy	0.0714489
Kevin	0.0702462
Kenny	0.070063
Roger	0.0699688
Brett	0.0698549
"Juan Miguel"	0.0697746
Fernando	0.0697649
Theo	0.069466
Ralph	0.0690681
Phil	0.0690021
Harold	0.0690019
Michael	0.0687912
Ronald	0.0686483
Chris	0.0685365
Jim	0.0678987
Andre	0.0676892
Joel	0.0675721
Samuel	0.0672629
Steven	0.0669552
Edward	0.0667848
Allan	0.0667741
Dave	0.0667131
Miguel	0.0666933
Dominic	0.066479
William	0.0664263
Jorge	0.0663257
Insulza	0.0662006
Jonathan	0.0658699
Fred	0.065735
Larry	0.0654557
Flanagan	0.0648861
Doug	0.0648672
Brad	0.0648572
Shawn	0.0647291
"Juan Miguel Gonzalez"	0.0642647
Steve	0.0641832
Ronnie	0.0640992
Vladimir	0.0638228
Terry	0.0635703
Jamie	0.0634995
Andy	0.0634486
Jeremy	0.0633925
Paul	0.0633804
Phillip	0.0632925
Jason	0.0630418
Evan	0.0629066
Andrei	0.0628565
David	0.062834
Reggie	0.0627911
Ramon	0.0625241
Robert	0.062366
Jose	0.0622748
Gerard	0.0622698
Albert	0.0616924
Keith	0.0615748
Frank	0.0614438
Richard	0.0608711
Mel	0.0607631
Greg	0.0606329
Vince	0.0606323
Gary	0.0605482
Justin	0.0603866
Byron	0.0601031
Ted	0.0600339
Bernie	0.0600188
mike	0.0598467
Marc	0.0598418
Brian	0.0598006
Rusty	0.0596737
Philip	0.0596023
Trevor	0.0595589
Dan	0.0594772
Joey	0.0592786
"Dale Jr."	0.0591043
Kyle	0.0590901
Ken	0.0590092
Shane	0.0589302
Jerry	0.0588402
Peter	0.0588387
Louis	0.0585279
Stacy	0.0584141
Felix	0.058262
Carlos	0.0582019
Roy	0.0581758
Todd	0.0581692
Bernard	0.0581387
Sally	0.0581115
Lorenzo	0.058102
Karl	0.0580902
Josh	0.0579573
Stephen	0.0577849
Ben	0.0577587
Barbour	0.0575497
Arthur	0.0573018
Adrian	0.0571456
tom	0.057093
Aurelio	0.0570524
Roberto	0.056951
Andrew	0.0568781
Marvin	0.0568258
"Kim Il Sung"	0.0567605
Charlie	0.0564032
Hugh	0.0559137
Guterres	0.0558908
Hadley	0.0558066
timothy	0.0556864
Jacob	0.0552859
Wayne	0.0551629
"John Jr."	0.0551598
Matthew	0.0548483
Marty	0.0546859
Mohammed	0.0546784
Jake	0.0546236
Nicolas	0.0545242
Ed	0.0544373
Teresa	0.0544347
Donnie	0.0543231
Gabriel	0.0543109
"Earl Spencer"	0.0541048
Luis	0.0540366
Tracey	0.0540339
Sean	0.0534343
Michelle	0.0533544
Ahmed	0.0530296
Eddie	0.0530234
Leo	0.052751
Rhonda	0.0527271
Patrick	0.0526975
nick	0.0526133
Stoyanov	0.0525198
Ikeda	0.0524272
Raymond	0.0524184
Milo	0.0523863
Claude	0.0523283
Isaiah	0.0522808
Robin	0.0519816
Joe	0.0518471
Derek	0.0518388
Ian	0.0517875
Tommy	0.0516736
Joshua	0.0516479
James	0.0514065
Charles	0.0513921
Eric	0.0510823
Marcus	0.0510802
Harry	0.0510347
Zuma	0.0509846
Barry	0.0509149
Alex	0.0508807
Lou	0.0508451
sandy	0.0506117
Billy	0.0505976
Debbie	0.050532
Kenneth	0.0504796
Bulatovic	0.0504727
Stan	0.0504048
becky	0.0502352
Johnny	0.0502261
Ricardo	0.0501686
Nate	0.0501629
Ernie	0.0500454
Sam	0.0499899
Frankie	0.0498986
Pete	0.0497733
Ivan	0.0496016
matt	0.0495264
Bruce	0.0494965
Christopher	0.0494877
Anthony	0.0494708
Pedro	0.049446
Kathy	0.0492808
D.J	0.0492201
Andres	0.049209
Tony	0.0491209
Darryl	0.0488292
Saramago	0.0488289
Omar	0.0488075
Dougherty	0.0487434
"George W."	0.0487199
Diego	0.0485918
Lance	0.048581
Karimov	0.0485214
Manuel	0.0484988
))
("Antonio Banderas" (desc 3873.54) (sims
"Jessica Lange"	0.183121
"Billy Crudup"	0.159018
"Brad Pitt"	0.129675
"Thandie Newton"	0.127566
"Matthew McConaughey"	0.126571
"Winona Ryder"	0.123331
"Cuba Gooding Jr."	0.120814
"Jodie Foster"	0.11918
"Kenneth Branagh"	0.114523
"Chow Yun-Fat"	0.11211
"Richard Gere"	0.108568
"Robert DeNiro"	0.104933
"Denzel Washington"	0.104624
"Kevin Bacon"	0.101162
"James Woods"	0.101058
"Michael Douglas"	0.100509
"Liam Neeson"	0.099744
"John Malkovich"	0.0975162
"Juliette Lewis"	0.0953361
"Sean Penn"	0.0932035
"Jeremy Irons"	0.0921458
"Ellen DeGeneres"	0.0920343
BANDERAS	0.0919388
"Michael J. Fox"	0.0918531
"Christopher Reeve"	0.0918236
"John Travolta"	0.0911429
"Billy Bob Thornton"	0.0907095
"Tom Selleck"	0.0899663
"George Clooney"	0.0897633
"Rob Lowe"	0.0890554
"Harrison Ford"	0.0888334
"Richard Dreyfuss"	0.088575
"Sean Connery"	0.0879909
"Dennis Quaid"	0.0875532
"Roberto Benigni"	0.0867337
"John Cusack"	0.0866051
"Geoffrey Rush"	0.0863403
"Tom Cruise"	0.0857908
"Nigel Hawthorne"	0.0845245
"Matt Damon"	0.0844142
"Nick Nolte"	0.0839932
"Hugh Grant"	0.0839317
"Mark Wahlberg"	0.08349
"Laurence Fishburne"	0.0834624
"Wesley Snipes"	0.0825119
"Leonardo DiCaprio"	0.0819833
"Clint Eastwood"	0.0816847
"Morgan Freeman"	0.0816507
"Russell Crowe"	0.0812274
"William Shatner"	0.0811042
"Brian Dennehy"	0.0800302
"Jon Voight"	0.0796515
"Jonathan Demme"	0.0796424
"Martin Sheen"	0.0789723
"Gene Hackman"	0.0788941
"Paul Newman"	0.0788881
"Pierce Brosnan"	0.0784051
"Penelope Cruz"	0.078354
"James Van Der Beek"	0.0781284
"Alec Baldwin"	0.0780488
"Hilary Swank"	0.0772889
"Cate Blanchett"	0.0770291
"Johnny Depp"	0.0769241
"Alicia Silverstone"	0.0769227
"Robert Redford"	0.0768963
"Dustin Hoffman"	0.0768221
"Jimmy Smits"	0.0758876
"Edward Norton"	0.0756537
"Vanessa Redgrave"	0.0755725
"Michael Caine"	0.0754736
"Gregory Peck"	0.0741092
"Ben Affleck"	0.0730084
"Robert Downey Jr."	0.0728274
"Sarah Jessica Parker"	0.0727873
"Will Smith"	0.0727785
"Kirsten Dunst"	0.0726748
"Christian Slater"	0.0724989
"Sylvester Stallone"	0.0716764
"Jack Lemmon"	0.0713693
Keaton	0.0712103
"Richard Burton"	0.0699499
"Keanu Reeves"	0.0697521
"Tim Robbins"	0.069648
"Gabriel Byrne"	0.0694727
"Chevy Chase"	0.069224
"Demi Moore"	0.0691234
"Tommy Lee Jones"	0.0687383
"Tom Hanks"	0.0685956
"Woody Harrelson"	0.0681898
"Matthew Broderick"	0.0680981
"Catherine Zeta-Jones"	0.068093
"Jenna Elfman"	0.0677938
"Elisabeth Shue"	0.0677605
"Ving Rhames"	0.0672349
"Arnold Schwarzenegger"	0.0665709
"Sela Ward"	0.066466
"Christian Bale"	0.0664491
"David Spade"	0.0661207
"Omar Epps"	0.0659745
"Robert de Niro"	0.0658827
"David Duchovny"	0.0657957
"John Leguizamo"	0.0657776
"Brendan Fraser"	0.0657684
"Sally Field"	0.0657458
"Janet McTeer"	0.0656698
"Patricia Arquette"	0.0655253
"Kelsey Grammer"	0.0654607
"Burt Reynolds"	0.0653606
"Nicolas Cage"	0.0651699
"Ryan Phillippe"	0.0651378
"Dennis Hopper"	0.0647217
"Kevin Costner"	0.0644565
"Samuel L. Jackson"	0.0640332
"Danny Glover"	0.0638163
"Stanley Tucci"	0.0632391
"Halle Berry"	0.0630463
"Kevin Kline"	0.0622923
"Patrick Stewart"	0.0620015
Cleese	0.061984
"Sidney Poitier"	0.0617106
"Ian McKellen"	0.0616928
"Jackie Chan"	0.0612118
"Rupert Everett"	0.060747
"Robin Williams"	0.0606964
"Anthony Hopkins"	0.0604908
"James Cromwell"	0.0603763
"Bruce Willis"	0.0603337
"DON JOHNSON"	0.0598407
"Diane Keaton"	0.0598112
"Danny DeVito"	0.0598065
"Norm MacDonald"	0.0597448
"Kate Winslet"	0.0597417
"Matthew Perry"	0.0596825
"Ethan Hawke"	0.0592238
"Jim Carrey"	0.0590092
"Meg Ryan"	0.05878
"Martin Lawrence"	0.0585351
"Melanie Griffith"	0.0585097
"Willie Nelson"	0.0584169
Costner	0.0583578
"Jack Nicholson"	0.0582905
"Cameron Diaz"	0.0581092
"Henry Fonda"	0.0577864
"Laurence Olivier"	0.0575168
"Tim Allen"	0.0572095
"Kim Basinger"	0.0571726
"Giovanni Ribisi"	0.0570477
"David Arquette"	0.0569522
"Steve Martin"	0.0567281
"Charlton Heston"	0.0566471
"John Cleese"	0.0565782
"James Stewart"	0.0565621
"Julianne Moore"	0.0556722
"Warren Beatty"	0.0554517
"John Lithgow"	0.0553353
"John Goodman"	0.0552595
"William H. Macy"	0.0552254
"Sharon Stone"	0.0552162
"Drew Barrymore"	0.0550506
"Albert Brooks"	0.0550155
"Kirk Douglas"	0.0549827
"James Earl Jones"	0.0545025
"Annette Bening"	0.0544225
"Nicole Kidman"	0.0539561
"Ewan McGregor"	0.053836
"Jamie Foxx"	0.0534343
"Burt Lancaster"	0.053412
Tucci	0.0533851
"Vivien Leigh"	0.0529518
"Bill Murray"	0.0526882
"Ally Sheedy"	0.0526806
"Ian Holm"	0.0525419
rainmaker	0.0524
"Jason Alexander"	0.0523765
"Michael Gambon"	0.0522913
Eastwood	0.0521504
Carrey	0.0520607
"Susan Sarandon"	0.0517643
"Edward Furlong"	0.0517563
"Geena Davis"	0.0516357
"Marlon Brando"	0.0516143
"Natasha Richardson"	0.0515279
wattage	0.051395
"Kathy Bates"	0.0511404
"Spencer Tracy"	0.0510116
"Val Kilmer"	0.050922
"Gillian Anderson"	0.0505646
"Stephen Rea"	0.0505133
"Jennifer Love Hewitt"	0.0504412
Reiner	0.0504078
"Kevin Spacey"	0.0502251
"Sigourney Weaver"	0.0501741
"Brenda Blethyn"	0.050126
"Hidetoshi Nakata"	0.0501238
"Ed Harris"	0.0499033
"Carmen Electra"	0.0498772
"Spike Lee"	0.0498205
"Bette Midler"	0.0498153
"Famke Janssen"	0.0496952
"Sandra Bullock"	0.0495103
))
("Antonio Daniels" (desc 1230.83) (sims
"Jaren Jackson"	0.317537
"Sean Elliott"	0.270452
"Mario Elie"	0.247131
"Avery Johnson"	0.227282
"Jerome Kersey"	0.189856
"Malik Rose"	0.158026
"Will Perdue"	0.151217
"Kerry Kittles"	0.136024
"David Robinson"	0.13401
"Terrell Brandon"	0.130867
"Steve Kerr"	0.12928
"Wayne Turner"	0.124795
"Terry Porter"	0.124138
"Travis Best"	0.120316
"Eric Snow"	0.118192
"Ukari Figgs"	0.118184
"Kendall Gill"	0.116124
"Nick Van Exel"	0.112104
"Mike Bibby"	0.11062
"David Wesley"	0.109508
"Michele Timms"	0.108747
"Chauncey Billups"	0.104974
Elie	0.104624
"Tyronn Lue"	0.103289
"Darrick Martin"	0.101586
"Doc Rivers"	0.100357
"Sam Cassell"	0.0993675
"Steve Nash"	0.098754
"Antoine Walker"	0.0947514
"Brandon Granville"	0.0942788
"Anthony Johnson"	0.0921258
"Stephon Marbury"	0.0919683
"Jason Kidd"	0.0918888
"B.J Armstrong"	0.0912812
"Bryce Drew"	0.0891548
"Kenny Anderson"	0.0888083
"Dana Barros"	0.0879089
"Bimbo Coles"	0.0871651
"Brevin Knight"	0.0863622
"Dawn Staley"	0.0863296
"Kevin Johnson"	0.0855328
"Michael Dickerson"	0.085404
"Derek Harper"	0.0849963
"Larry Hughes"	0.0844082
"Ron Mercer"	0.0843784
"Dion Glover"	0.084054
"Earl Watson"	0.0828042
"Andre Miller"	0.0819128
"Matt Santangelo"	0.0816947
"Vince Carter"	0.081345
"Hersey Hawkins"	0.0812718
"Jason Terry"	0.0812349
"Mookie Blaylock"	0.0802617
"Baron Davis"	0.0794993
"Darrell Armstrong"	0.0793987
"Tim Hardaway"	0.0777718
"Ryan Bailey"	0.0771746
"Tim Duncan"	0.0771578
"Eric Murdock"	0.0770804
"Sam Mack"	0.0769464
"Ricky Moore"	0.0766997
"Jeff Trepagnier"	0.0746595
"Ray Allen"	0.074559
"Shammond Williams"	0.074283
"Anfernee Hardaway"	0.0736882
"Sherman Douglas"	0.0735031
"Erick Barkley"	0.0732572
"Robert Pack"	0.0724932
"Derek Fisher"	0.0719621
"Voshon Lenard"	0.0707613
"Teresa Weatherspoon"	0.0707395
"Twin Towers"	0.070455
"Walter McCarty"	0.0700244
"Hubert Davis"	0.0697695
Mashburn	0.0692895
"Ron Harper"	0.0690972
"Jamie Feick"	0.0689893
"Charlie Ward"	0.0686736
"Bonzi Wells"	0.0669661
"Courtney Alexander"	0.0668971
"Rod Strickland"	0.0666634
"Eddie House"	0.066227
"Jeff Hornacek"	0.0660306
"Eric Piatkowski"	0.0658907
"Mateen Cleaves"	0.0654831
"Jason Williams"	0.0651828
"Howard Eisley"	0.0647308
"Sol Campbell"	0.0646582
"Dirk Nowitzki"	0.0646497
Trepagnier	0.064483
"Randy Brown"	0.0640635
"Mark Jackson"	0.0637257
"Shawn Marion"	0.062992
"Kim Perrot"	0.0623972
"Penny Hardaway"	0.0617719
"Bruce Bowen"	0.0616074
"Michael Finley"	0.061045
"Jayson Williams"	0.0610025
"Scoonie Penn"	0.0608884
"Tariq Abdul-Wahad"	0.0607226
Potapenko	0.0607047
"Isaiah Rider"	0.0606787
"Ray Young"	0.0604224
"Greg Anthony"	0.0600434
"Brent Price"	0.0600269
"Matt Maloney"	0.0596965
"Steve Francis"	0.0595393
"Heath Irwin"	0.0594004
"Tracy McGrady"	0.0591055
"Toby Bailey"	0.0588964
"Billy Knight"	0.0587198
"Rex Chapman"	0.0586759
"Kevin Garnett"	0.058423
"Gary Payton"	0.0581128
"Khalid El-Amin"	0.0579771
"Flozell Adams"	0.0578641
"Matt Bullard"	0.0576559
"Gene Williams"	0.0575875
"A.C. Green"	0.0571524
"Larry Allen"	0.0564165
"John Stockton"	0.0548601
"Nate Newton"	0.0545778
"Clyde Drexler"	0.0543489
"Steve Smith"	0.0520052
"Damon Stoudamire"	0.0519244
"William Avery"	0.0518183
"Michael Redd"	0.0516515
"Rico Hines"	0.0515377
"Solomon Page"	0.0515045
Scoonie	0.051479
"Courtney Brown"	0.0513928
"Vernon Maxwell"	0.0513335
"Paul Pierce"	0.0507907
"Mark Williams"	0.0504755
"Chad Pennington"	0.0503286
"Joe Dumars"	0.0498585
Gatling	0.0492484
"Bob Sura"	0.049166
"Jumaine Jones"	0.0489438
"Jalen Rose"	0.0486628
"Doug Christie"	0.0484021
Timms	0.0482751
"Van Horn"	0.0482628
"Max Lane"	0.0481647
"Ron Artest"	0.0480719
"Paul Caligiuri"	0.0477326
"Ken Kocher"	0.0470468
"Keith Brooking"	0.0469745
STALEY	0.0464487
"Vitaly Potapenko"	0.0463423
"Lamar Odom"	0.0462675
"paid vacation"	0.0462397
"Cuttino Mobley"	0.0461086
"Mark Bryant"	0.0460439
"Grant Hill"	0.0459097
"Vin Baker"	0.0458274
"Jimmy Oliver"	0.0456102
"Adrian Griffin"	0.0455854
Mutombo	0.0454808
Griese	0.0453951
"John Starks"	0.0453462
Radojevic	0.0453112
"Jim Druckenmiller"	0.0451064
"Brent Barry"	0.0449857
"Bobby Phills"	0.0449666
"Tony Hutson"	0.0448302
"profit sharing"	0.0447226
"Jerry Stackhouse"	0.044682
El-Amin	0.0442779
Olowokandi	0.0441634
"Yolanda Griffith"	0.0440335
"John Avery"	0.0439797
"Tim Thomas"	0.0439472
"Richard Hamilton"	0.0438406
"Gary Trent"	0.043537
"Chris Webber"	0.0433528
"Everett McIver"	0.0429884
"Eddie Pope"	0.0425298
"Trajan Langdon"	0.0423103
"William White"	0.0422835
"Damien Woody"	0.0422607
"Toni Kukoc"	0.0420707
swingman	0.0420176
"Mike Burns"	0.0419367
"Bryon Russell"	0.0416911
"Tony Adams"	0.0415593
airball	0.0414797
"Jonathan Bender"	0.0413697
"Ed Gray"	0.0413135
"Kevin Jordan"	0.0412741
"Jamal Mashburn"	0.0410371
"Lamond Murray"	0.040883
"Mike Jones"	0.0406022
"Samaki Walker"	0.0405896
"Keith Van Horn"	0.0405796
"Champ Bailey"	0.0404711
"Todd Rucci"	0.0404644
Baines	0.0404424
"Maurice Taylor"	0.0403135
"Cynthia Cooper"	0.0402304
))
("Antonio Davis" (desc 5549.43) (sims
"Charles Oakley"	0.22595
"Rik Smits"	0.219571
"Austin Croshere"	0.211379
"Travis Best"	0.206157
"Jalen Rose"	0.205868
"Chris Mullin"	0.204722
"Sam Perkins"	0.190883
"Dale Davis"	0.19023
"Kevin Willis"	0.187336
"Mark Jackson"	0.175279
"Reggie Miller"	0.175154
"Tracy McGrady"	0.161092
"Doug Christie"	0.14434
"Otis Thorpe"	0.138788
Croshere	0.137566
"Donyell Marshall"	0.135567
"Theo Ratliff"	0.133023
"Jerome Kersey"	0.129807
"Mookie Blaylock"	0.127204
"Vince Carter"	0.127039
"J.R Reid"	0.126924
"Grant Long"	0.125689
"Elden Campbell"	0.125554
"Travis Knight"	0.12522
"Rasheed Wallace"	0.124413
"P.J Brown"	0.124109
"Lorenzen Wright"	0.124096
"Maurice Taylor"	0.122872
"Dale Ellis"	0.121012
"Danny Fortson"	0.119983
"Lamond Murray"	0.117604
"Kendall Gill"	0.11648
"A.C. Green"	0.115993
"Chris Mills"	0.115614
"Chris Gatling"	0.114549
"Herb Williams"	0.113944
"Robert Horry"	0.113864
"Detlef Schrempf"	0.113431
"Jarvis Turner"	0.110358
"Scot Pollard"	0.108827
"Alan Henderson"	0.108346
"Cliff Ronning"	0.107305
"Brian Grant"	0.106891
"Kenyon Martin"	0.10682
"Joe Juneau"	0.106399
"Chris Webber"	0.106129
"Jamie Feick"	0.105919
"Othella Harrington"	0.105517
"Dale Hunter"	0.104305
"Samaki Walker"	0.102092
"Larry Johnson"	0.10162
"Marcus Camby"	0.100844
"Kurt Thomas"	0.0999646
"Dennis Scott"	0.0997103
"Kevin Freeman"	0.0994704
"Keith Van Horn"	0.0988393
"Rick Fox"	0.0979851
"John Wallace"	0.0979701
"Greg Adams"	0.0973499
"Mark Bryant"	0.0966272
"Clarence Weatherspoon"	0.0965606
"Voshon Lenard"	0.0964079
"Brian Skinner"	0.096121
"Rashard Lewis"	0.094913
"Juwan Howard"	0.0946187
"Cedric Ceballos"	0.0941904
"Terry Cummings"	0.0940716
"Sam Cassell"	0.0939325
"Mark Madsen"	0.0934444
"Richard Jefferson"	0.0933005
"Kenny Thomas"	0.0930339
"Derrick Coleman"	0.0924992
"Ike Austin"	0.0924898
"Hu Weidong"	0.0924383
"Gabe Muoneke"	0.0924102
"Tyrone Nesby"	0.0923726
"Chris Crawford"	0.0923368
"John Starks"	0.09216
"Scottie Pippen"	0.0913845
"Joe Smith"	0.0912579
"Michael Wright"	0.091244
"Alexei Kovalev"	0.0912203
"Sean Rooks"	0.0911638
Mullin	0.0909811
"Horace Grant"	0.0908208
"Jerome Moiso"	0.0902102
"Raef LaFrentz"	0.0901655
"Ron Mercer"	0.089488
"Mike Sullivan"	0.0894792
"Anthony Mason"	0.0891965
"Jermaine O'Neal"	0.0890508
"Antawn Jamison"	0.0887481
"Clifford Robinson"	0.0885587
"Bobby Phills"	0.0883483
"Dirk Nowitzki"	0.0881383
"Mike Miller"	0.0880125
"Terry Porter"	0.0877725
"Danny Manning"	0.087449
"Jonathan Bender"	0.0871757
"Vitaly Potapenko"	0.0870716
"Nick Anderson"	0.0869461
"Shandon Anderson"	0.0868056
"Grant Hill"	0.0867887
"Mario Elie"	0.0867561
"Bonzi Wells"	0.0865325
"Brian Scalabrine"	0.0863305
"Vin Baker"	0.0863142
"Theo Fleury"	0.086248
"Tamika Catchings"	0.0861937
"DeLisha Milton"	0.086157
"CORIE BLOUNT"	0.0857097
"Tim Thomas"	0.0856947
"Chris Porter"	0.0851193
"Al Harrington"	0.0849684
"Eddie Jones"	0.0849538
Smits	0.0846941
"Christian Laettner"	0.0845788
"Antoine Walker"	0.0843294
"Gary Trent"	0.0841985
"Dikembe Mutombo"	0.0840421
"Walt Williams"	0.0839632
"Charles Barkley"	0.0835564
"Marcus Fizer"	0.0833569
"Derek Fisher"	0.08304
"Eric Wynalda"	0.0830236
"Rick Tocchet"	0.0827646
"Michael Finley"	0.0827606
"Sean Farnham"	0.0826115
"Vincent Damphousse"	0.0821588
"Dan Majerle"	0.0820139
"Corliss Williamson"	0.0820032
"Tom Gugliotta"	0.0818207
"Allan Houston"	0.08172
"Jamal Mashburn"	0.0814074
"Toni Kukoc"	0.0807371
"Ron Artest"	0.0805923
"Sean Elliott"	0.0804301
"Glen Rice"	0.0797767
"Tim Duncan"	0.0797199
"Antoine Carr"	0.0796837
"Alonzo Mourning"	0.0794741
"Tony Massenburg"	0.079111
"Arvydas Sabonis"	0.0790218
"Rico Hines"	0.0789853
"Ruben Patterson"	0.0788167
"Glenn Robinson"	0.0786734
"Doug Gilmour"	0.0785081
"Bill Guerin"	0.0780302
"Ian Wright"	0.0779936
"Stern John"	0.0778955
"Penny Hardaway"	0.0776993
"Shareef Abdur-Rahim"	0.0775841
"Rodney Rogers"	0.0774484
"Larry Hughes"	0.0772729
"Shawn Kemp"	0.0772575
"Billy Owens"	0.0772574
"Morris Peterson"	0.0767385
"Matthew Barnaby"	0.0758827
"Damon Stoudamire"	0.0757778
"Sam Clancy"	0.0754649
"Dave Andreychuk"	0.0754086
"Latrell Sprewell"	0.0753694
"Keith Tkachuk"	0.0753259
"Paul Pierce"	0.0752625
"Chris Anstey"	0.0752048
"Hakeem Olajuwon"	0.0749578
"John Salley"	0.0749558
"Jayson Williams"	0.0748155
"Todd Harvey"	0.0747095
"Jerry Stackhouse"	0.0740336
"Kris Clack"	0.0737317
"Shawn Marion"	0.0734182
"Jumaine Jones"	0.0733515
"Etan Thomas"	0.0732669
"Wendel Clark"	0.072967
"Stephon Marbury"	0.072738
"Robert Traylor"	0.0724832
"Alen Boksic"	0.0724583
"Matt Harpring"	0.0722224
"Curtis Joseph"	0.071972
"Wang Tao"	0.0719291
"Chris Carrawell"	0.0712092
"Guy Carbonneau"	0.0710748
"Darren McCarty"	0.0710183
"Ante Razov"	0.0707584
"SCOTT BURRELL"	0.0703267
"Shannon MacMillan"	0.0702726
"Tina Thompson"	0.0702042
"Greg Ostertag"	0.0698583
"Brad Miller"	0.069824
"Felix Potvin"	0.0697275
"Corey Maggette"	0.0696289
"Elton Brand"	0.0695649
"Matt Geiger"	0.0695295
"Brian McBride"	0.0694169
"Hao Haidong"	0.0693434
"Eric Murdock"	0.0690102
"Sheryl Swoopes"	0.068945
"Pat Garrity"	0.0684477
"Predrag Mijatovic"	0.0680718
))
("Antonio Freeman" (desc 2535.84) (sims
"Derrick Mayes"	0.306278
"Robert Brooks"	0.269648
"Frank Sanders"	0.228345
"J.J Stokes"	0.21975
"Yancey Thigpen"	0.219377
"Jake Reed"	0.201079
"HERMAN MOORE"	0.200795
"Terrell Owens"	0.196464
"Carl Pickens"	0.188873
"Jimmy Smith"	0.187379
"Tim Brown"	0.176394
"Andre Reed"	0.170549
"Rob Moore"	0.169738
"Cris Carter"	0.167662
"Andre Rison"	0.163377
"Isaac Bruce"	0.163112
"Joey Galloway"	0.161258
"Chris Calloway"	0.158384
"Amani Toomer"	0.154326
"Terance Mathis"	0.152269
"Billy Davis"	0.150235
"Eric Moulds"	0.147317
"Ed McCaffrey"	0.144472
"Troy Brown"	0.143492
"Eric Metcalf"	0.138908
"Jerry Rice"	0.13596
"Dez White"	0.135126
"Tim Dwight"	0.13479
"Ernie Mills"	0.133521
"Reggie White"	0.129999
"Windrell Hayes"	0.128722
"Michael Westbrook"	0.127438
"Rod Smith"	0.125687
"Wayne Chrebet"	0.125358
"Ike Hilliard"	0.124883
"Brett Favre"	0.122414
"Peerless Price"	0.121921
"Kevin Dyson"	0.119523
"Torry Holt"	0.11872
"Dorsey Levens"	0.116791
"Randy Moss"	0.116772
"Raghib Ismail"	0.115925
"Keyshawn Johnson"	0.114757
"Tony Martin"	0.113555
"Oronde Gadsden"	0.112592
"Wane McGarity"	0.112018
"David Boston"	0.11044
"Freddie Mitchell"	0.110379
"Marvin Harrison"	0.110246
"Rocket Ismail"	0.109204
"R. Jay Soward"	0.108997
"Michael Irvin"	0.108837
"Tony Simmons"	0.107943
"Danny Farmer"	0.10734
"Shawn Jefferson"	0.106225
"Kevin Williams"	0.104641
"Kareem Kelly"	0.104318
"Kevin Johnson"	0.104067
"Dedric Ward"	0.10319
"Bobby Brown"	0.100636
"Brian Poli-Dixon"	0.0980691
"Marcell Allmond"	0.0959817
"James McKnight"	0.0959298
"Vincent Brisby"	0.0954394
"Jeff Ogden"	0.0947167
"Rae Carruth"	0.0939368
"Robert Smith"	0.0934766
"Chris Taylor"	0.0931122
"Derrick Alexander"	0.0921343
"Jermaine Lewis"	0.0909713
"Zach Thomas"	0.0905249
"Terry Glenn"	0.0889027
"Mike Holmgren"	0.0872574
"Randall Cunningham"	0.0822109
"Peter Warrick"	0.0796371
"Lynn Swann"	0.0793812
"Brad Johnson"	0.0756358
"Shannon Sharpe"	0.0738871
"Barry Sanders"	0.0736631
"Jimmy Oliver"	0.0702171
"Jason Tucker"	0.0671598
"Kyle Brady"	0.0669783
"Jamir Miller"	0.0668484
"Lomas Brown"	0.0664975
Favre	0.0659006
Stokes	0.0651273
"Deion Sanders"	0.0647846
"Doug Pederson"	0.0639261
"Ty Detmer"	0.0635609
"Randall Godfrey"	0.0630001
"Larry Centers"	0.0621898
"Charles Woodson"	0.0618272
Pickens	0.0613628
Laudrup	0.060679
"Francisco Cordova"	0.059213
Freeman	0.0590717
Chmura	0.0582748
"Charles Johnson"	0.0580841
"Drew Bennett"	0.0579287
"Jamal Anderson"	0.0576428
Gadsden	0.0571896
Mathis	0.0570122
"Steve Young"	0.0566755
"Brian Williams"	0.0566607
wideout	0.0562555
"Leon Johnson"	0.0545704
"Fred Taylor"	0.0543921
Irvin	0.0533794
Toomer	0.0524851
"Aeneas Williams"	0.0520819
"David LaFleur"	0.0508238
wideouts	0.0507774
"Teppo Numminen"	0.0504982
"Mark Smith"	0.0502796
Dwight	0.0500242
"Ray Lewis"	0.0499484
"Elvis Grbac"	0.0497584
"two pitchers"	0.0497042
"Jeff George"	0.0496495
Jeffers	0.049615
"Michael Strahan"	0.0483964
Fortier	0.0483536
"Hu Weidong"	0.0482773
Artest	0.0482565
"Terry Allen"	0.0478348
"Jake Plummer"	0.0476989
Galloway	0.0473561
"Charlie Garner"	0.0473241
tackler	0.0471999
"Daryl Johnston"	0.0471357
Lieberthal	0.0468631
Reichel	0.0468485
"John Randle"	0.0467937
"Darrick Martin"	0.0467918
"Jason Elam"	0.0466154
"Mo Lewis"	0.046319
"Mark Brunell"	0.0462721
Ismail	0.0460487
"Rick Mirer"	0.0456988
Chrebet	0.0455433
"Ben Coates"	0.0453062
"O.J Santiago"	0.0450583
"Tom Candiotti"	0.044623
Leetch	0.0444623
"Champ Bailey"	0.0444253
"Bobby Newcombe"	0.0441919
Dawkins	0.0440111
"Pat Hentgen"	0.0437827
"Russ Ortiz"	0.0433415
Owens	0.0433046
"Bryant Young"	0.0431558
"Rick Tocchet"	0.0428269
Newsome	0.0427492
"Ty Law"	0.0426097
"John Vanbiesbrouck"	0.0422372
Watters	0.042057
"Steve Israel"	0.0420518
"Chad Brown"	0.0419081
"Neil Smith"	0.0418352
"Simeon Rice"	0.0417468
"Pro Bowler"	0.0416497
Solis	0.0415069
"Darrien Gordon"	0.0414876
"Darrell Green"	0.0414387
"Trent Dilfer"	0.0414377
"Alexei Yashin"	0.0413551
"Willie Greene"	0.0412875
"Larry Allen"	0.041278
"Jerome Bettis"	0.0412084
Samuelsson	0.041072
"Lawrence Phillips"	0.040988
"BRIAN MEADOWS"	0.0408263
"F.P Santangelo"	0.0407559
"Raul Diaz Arce"	0.0406922
"written agreement"	0.0405476
"Keith Brooking"	0.0404633
))
("Antonio Guterres" (desc 2827.41) (sims
"Pascoal Mocumbi"	0.269931
"Bashkim Fino"	0.250213
"Valery Pustovoitenko"	0.246734
"Ivan Kostov"	0.236711
"Mikulas Dzurinda"	0.23281
"Goran Persson"	0.232498
"Costas Simitis"	0.228331
"Wlodzimierz Cimoszewicz"	0.224643
"Atef Obeid"	0.224306
"Frederick Sumaye"	0.220081
"Romano Prodi"	0.217013
"Vaclav Klaus"	0.215025
"Jerzy Buzek"	0.213284
"Vo Van Kiet"	0.213242
"Jose Maria Aznar"	0.212265
"Bertie Ahern"	0.207005
"Jean Chretien"	0.20589
"Pandeli Majko"	0.203687
"Rafik Hariri"	0.202258
"Girija Prasad Koirala"	0.200279
"Paavo Lipponen"	0.197462
"Phan Van Khai"	0.196269
"Inder Kumar Gujral"	0.187861
"Radu Vasile"	0.187847
"Victor Chernomyrdin"	0.186914
"Mesut Yilmaz"	0.186213
"John Bruton"	0.18552
"Chuan Leekpai"	0.183277
"H.D Deve Gowda"	0.181456
"Meles Zenawi"	0.181293
"Lamberto Dini"	0.179786
"Fatos Nano"	0.176321
Lipponen	0.175957
"Chavalit Yongchaiyudh"	0.175271
"Yoshiro Mori"	0.175002
"Alain Juppe"	0.174296
el-Ganzouri	0.173444
"Atal Bihari Vajpayee"	0.172846
"Milos Zeman"	0.170996
Stoyanov	0.169394
"Goh Chok Tong"	0.169082
"Bulent Ecevit"	0.168229
"Necmettin Erbakan"	0.167798
"John Major"	0.166761
"Lionel Jospin"	0.163744
"Jordanian King Abdullah Bin Hussein"	0.163739
"Prime Minister Kamal El-Ganzouri"	0.163624
"Tomiichi Murayama"	0.163245
"I.K Gujral"	0.162686
"Jenny Shipley"	0.161495
"Sher Bahadur Deuba"	0.157472
"Jacques Santer"	0.155703
Simitis	0.155301
"Fernando Henrique Cardoso"	0.155287
"Martti Ahtisaari"	0.154723
Meles	0.15398
Dehaene	0.15075
"Zhu Rongji"	0.149491
"Kim Yong Nam"	0.148635
"George Robertson"	0.148414
"Momir Bulatovic"	0.147899
"Wim Kok"	0.147624
"Ung Huot"	0.147428
Deuba	0.146875
"Atal Behari Vajpayee"	0.146629
al-Bashir	0.146591
"Lee Hsien Loong"	0.146551
"Mikhail Kasyanov"	0.145397
"Benazir Bhutto"	0.14513
Scalfaro	0.144502
"Keizo Obuchi"	0.144294
Kharrazi	0.144059
"Sheikh Hasina"	0.143238
"Lokendra Bahadur Chand"	0.142728
Goh	0.142711
Alatas	0.142426
"Ryutaro Hashimoto"	0.142245
"Salim Hoss"	0.142028
"Tim Fischer"	0.141946
"Deve Gowda"	0.141495
"Sergei Stepashin"	0.140724
Banharn	0.140603
"Defense William Cohen"	0.139913
"Viktor Chernomyrdin"	0.13914
"Bill Skate"	0.137503
"Carlos Menem"	0.137244
"Hosni Mubarak"	0.136877
"Krishna Prasad Bhattarai"	0.136337
Klima	0.136092
"Abdul Salam Majali"	0.134991
"Vladimir Putin"	0.134871
"Jacques Chirac"	0.134666
"Secretary General Esmat Abdul-Meguid"	0.134564
Gurirab	0.13364
"Chief Executive Tung Chee-hwa"	0.133252
Nzo	0.132793
Al-Thani	0.13261
"Gro Harlem Brundtland"	0.13253
Al-Sabah	0.132524
Niyazov	0.132485
"Yevgeny Primakov"	0.13244
Fino	0.132384
"Mahmoud Zouebi"	0.132301
Hasina	0.132189
Narayanan	0.131906
Siazon	0.131694
Pangalos	0.130608
"William Perry"	0.130446
"President Kim Young-sam"	0.130426
"Fayez Tarawneh"	0.130404
"Ernesto Zedillo"	0.12983
Gujral	0.129713
Granic	0.129663
Bhattarai	0.129453
"Tariq Aziz"	0.12883
Nazarbayev	0.128396
al-Hariri	0.128384
"Than Shwe"	0.128331
"Helen Clark"	0.128203
"Gulbuddin Hekmatyar"	0.128162
"William Cohen"	0.128144
"Abidine Ben Ali"	0.128057
"Sergei Kiriyenko"	0.127941
"Prime Minister Banharn Silpa-Archa"	0.127608
Luong	0.127445
Majali	0.127236
"Mahathir Mohamad"	0.126934
Dini	0.126562
"John Howard"	0.126293
"Javier Solana"	0.126242
"Abdul Karim Kabariti"	0.126181
Phieu	0.12602
Ganzouri	0.12549
"Alexander Lukashenko"	0.125213
"Qian Qichen"	0.1249
Kok	0.124681
al-Khatib	0.124625
Klestil	0.124492
Guterres	0.124065
Ahern	0.123611
Mkapa	0.123579
"Vladimir Meciar"	0.123385
Muluzi	0.122848
"Nawaz Sharif"	0.12232
Chissano	0.122216
"Tony Blair"	0.122091
"Secretary General Boutros Boutros-Ghali"	0.122055
Chretien	0.121749
Brundtland	0.12155
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.121479
Nujoma	0.120946
"Igor Ivanov"	0.120891
"Binyamin Netanyahu"	0.120367
Abdel-Meguid	0.120116
Karimov	0.119835
"Minister Shlomo Ben-Ami"	0.119631
Muoi	0.119426
Juncker	0.119224
al-Shara	0.119137
Museveni	0.118717
"Ismail Cem"	0.118594
"President Hafez Al-Assad"	0.117681
"Lee Kuan Yew"	0.117644
Moi	0.117185
Rifkind	0.116953
Akayev	0.116473
"Norodom Ranariddh"	0.116188
"King Abdullah II"	0.116174
Kabariti	0.116089
Hariri	0.11602
"Paul Keating"	0.116007
Chuan	0.115879
"Tang Jiaxuan"	0.115496
"Secretary General Esmat Abdel-Meguid"	0.115352
"Milorad Dodik"	0.115338
"Bill Richardson"	0.115214
Shevardnadze	0.114328
"Tansu Ciller"	0.114256
al-Sharaa	0.114224
Sumaye	0.114023
"Mohammad Khatami"	0.113939
Demirel	0.113622
"Viktor Orban"	0.113618
Moussa	0.113107
"Li Peng"	0.112883
"Yuri Maslyukov"	0.112797
Gaddafi	0.112495
"Shimon Peres"	0.112393
"Igor Sergeyev"	0.112294
Frei	0.11222
el-Bashir	0.112184
Diouf	0.112074
"Shi Guangsheng"	0.111595
Vollebaek	0.111262
Garang	0.111023
Meguid	0.110968
al-Sahhaf	0.110739
Vedrine	0.11069
Jospin	0.110405
"Sheikh Saad"	0.109843
"de Charette"	0.109712
Kavan	0.10965
Khai	0.109357
Ahtisaari	0.10911
Jayakumar	0.108775
"Tareq Aziz"	0.108389
Wolfensohn	0.108375
Al-Faisal	0.108345
Vajpayee	0.108232
"Kamal Kharrazi"	0.108206
Pustovoitenko	0.107982
"Suleyman Demirel"	0.107843
"Cambodian King Norodom Sihanouk"	0.107817
Juppe	0.107662
al-Khalifa	0.106989
"Ehud Barak"	0.106734
Kinkel	0.106635
Schuessel	0.106607
Kwasniewski	0.106538
Tella	0.106223
"Wang Daohan"	0.106061
Chirac	0.105133
Ikeda	0.105038
"Alberto Fujimori"	0.104864
"Boris Nemtsov"	0.104699
"Jamil Mahuad"	0.104578
"Amr Moussa"	0.104471
Chavalit	0.104432
Zhu	0.104327
Constantinescu	0.104288
"Amnuay Virawan"	0.104216
"Yasser Abed Rabbo"	0.104189
"Paul Kagame"	0.103442
al-Assad	0.103437
Vasile	0.103333
Ecevit	0.10318
"De Soto"	0.10289
Komura	0.102798
al-Sahaf	0.10243
"Noboru Takeshita"	0.102371
Velayati	0.102158
"Natan Sharansky"	0.101883
Kuchma	0.101767
Shareh	0.101653
Downer	0.101631
"Andres Pastrana"	0.101389
Ivanov	0.101276
Khaddam	0.100973
"Koo Chen-fu"	0.10094
"President Kim Dae-jung"	0.100891
"Li Lanqing"	0.100864
"Vaclav Havel"	0.100801
Axworthy	0.100507
Moratinos	0.10016
Qian	0.100087
))
("Antonio Langham" (desc 1577.32) (sims
"Dale Carter"	0.146325
"Orlando Brown"	0.145507
"Otis Smith"	0.132843
Langham	0.121387
"Steve Israel"	0.119112
"Jason Sehorn"	0.118898
"Ronnie Bradford"	0.115303
"Aaron Glenn"	0.113797
"Tebucky Jones"	0.113336
"Champ Bailey"	0.112604
"Michael Booker"	0.112057
"Darrien Gordon"	0.109061
"Aeneas Williams"	0.106801
"Chris McAlister"	0.106395
"Derrick Alexander"	0.106224
"Ray Buchanan"	0.100426
"Sam Madison"	0.0970011
"Ty Law"	0.095127
"Darrell Green"	0.0898323
Bly	0.0890702
"Bryant Young"	0.0882682
"Ryan Roques"	0.0878046
"Garrison Hearst"	0.0851081
"Trung Canidate"	0.0849104
"LaVar Arrington"	0.0847892
"J.J Stokes"	0.0837631
"Dwayne Goodrich"	0.0835417
"Mario Edwards"	0.0817389
"Chris Canty"	0.0814078
"Tony George"	0.0796848
"Ronnie Lott"	0.0770405
"Phillippi Sparks"	0.0766928
"Charles Woodson"	0.0764145
"Dana Stubblefield"	0.073288
"Jeff Garcia"	0.0725553
"Marques Anderson"	0.0716971
McNabb	0.0715306
"Dave Thomas"	0.071347
"Brent Jones"	0.0709239
"Kevin Mathis"	0.0706557
"Jason Bell"	0.0701493
Arrington	0.0691907
Woodson	0.0686644
"Kevin Johnson"	0.0670006
"Charlie Williams"	0.0667088
booker	0.0658591
"Michael Olowokandi"	0.0643043
Ava	0.0635593
"Robb Nen"	0.0629619
Brisby	0.0616022
"Jeff Blake"	0.0599946
"Kevin Smith"	0.0597845
"Matt Geiger"	0.0595404
"Kevin Williams"	0.0589616
Mashburn	0.0585984
"Carmen Policy"	0.0580488
"Tim Couch"	0.0580257
"Billy Owens"	0.0574187
"Eric Snow"	0.0571942
"Eric Whitfield"	0.0563962
Lafleur	0.05606
"Andre Wadsworth"	0.0557806
"Lawrence Phillips"	0.0553683
"Bob Sura"	0.054736
"Terrell Owens"	0.0547221
Petkovsek	0.0544413
"Ty Detmer"	0.0538398
"Kevin Faulk"	0.0529582
"Joe Montana"	0.0525654
Alfredsson	0.0503127
"Larry Brown"	0.0499711
"Jamir Miller"	0.0498714
"Dan Cloutier"	0.0495159
QBs	0.0493838
"Mark Guthrie"	0.0486139
Whitfield	0.0483794
"Dwight Clark"	0.0483232
Wheatley	0.0480217
"Tony Simmons"	0.0478987
"Rick Fox"	0.0473866
"Greg Ellis"	0.0473515
Perisho	0.04723
"Charlie Garner"	0.0465775
"Janet McTeer"	0.0465727
"Mark Gardner"	0.0462698
"NEC Invitational"	0.0459926
"Dez White"	0.0459809
Underwood	0.0459788
Hakim	0.0458505
"Manny Legace"	0.0455913
"Jim McIlvaine"	0.0455672
"Theo Ratliff"	0.045549
"Doug Gilmour"	0.0444597
"Damien Woody"	0.0442699
"Toni Kukoc"	0.0441281
"Jimmy Spencer"	0.0440916
"Doug Pederson"	0.0439146
"Otis Thorpe"	0.0438015
"Damon Huard"	0.0437577
"David Boston"	0.0437319
Wiggins	0.0436116
"Claudio Reyna"	0.0435606
"Quentin Coryatt"	0.0434264
Marineau	0.0433199
Holdsclaw	0.0432192
"Bill Walsh"	0.0430387
"Clint Reilly"	0.0427103
Langdon	0.0420187
"Rebecca Lobo"	0.0417046
Womack	0.0416432
Google	0.0415267
"Cedric Ceballos"	0.0414541
"L.J Shelton"	0.0412207
"Edgerrin James"	0.0410965
Capel	0.0410089
"Matt Bullard"	0.0407529
Chouinard	0.0407467
"Pat Burrell"	0.0404483
"Derrick Coleman"	0.040091
"Chris Gomez"	0.0400759
))
("Antonio McDyess" (desc 5726.98) (sims
"Tom Gugliotta"	0.253973
McDyess	0.202247
"Clifford Robinson"	0.201897
"Shawn Kemp"	0.19196
"Jason Kidd"	0.190968
"Penny Hardaway"	0.188985
"Rasheed Wallace"	0.18437
"Ron Mercer"	0.178609
"Nick Van Exel"	0.176192
"Grant Hill"	0.175023
"Terrell Brandon"	0.174246
"George McCloud"	0.170806
"Mitch Richmond"	0.170158
"Cliff Robinson"	0.165014
"Juwan Howard"	0.162246
"Chauncey Billups"	0.161766
"Stephon Marbury"	0.159853
"Detlef Schrempf"	0.159623
"Vlade Divac"	0.155155
"Gary Payton"	0.153253
"Steve Smith"	0.152392
"Rex Chapman"	0.149947
"Gary Trent"	0.149383
"Brian Grant"	0.148532
"Rod Strickland"	0.146072
"Damon Stoudamire"	0.143762
"Charles Barkley"	0.142135
"Vin Baker"	0.141831
"Scottie Pippen"	0.140815
"Danny Manning"	0.139834
"Chris Gatling"	0.139581
"Tim Duncan"	0.139359
"Kevin Garnett"	0.137461
"Christian Laettner"	0.136297
"Rodney Rogers"	0.135943
"Shawn Marion"	0.135583
"Ray Allen"	0.130658
"Theo Ratliff"	0.130459
"Chris Webber"	0.1285
"Lamond Murray"	0.128342
"Keith Van Horn"	0.127932
Gugliotta	0.127562
"Corliss Williamson"	0.127389
"Derrick Coleman"	0.126628
"Antoine Walker"	0.126569
"Raef LaFrentz"	0.126361
"Allen Iverson"	0.126225
"Grant Long"	0.12521
"Tim Hardaway"	0.124617
"Shareef Abdur-Rahim"	0.122477
"Jerry Stackhouse"	0.12038
"Hakeem Olajuwon"	0.119998
"Kevin Johnson"	0.118038
"Alonzo Mourning"	0.117975
"Danny Fortson"	0.117728
"Alan Henderson"	0.117519
"Shaquille O'Neal"	0.117435
"Luc Longley"	0.117309
"Dennis Rodman"	0.114289
"Cedric Ceballos"	0.113545
"Joe Smith"	0.112794
"Karl Malone"	0.112639
"Arvydas Sabonis"	0.111872
"Tracy McGrady"	0.111449
"Glenn Robinson"	0.110186
"Elden Campbell"	0.108081
"Jayson Williams"	0.105314
"Horace Grant"	0.104549
"Glen Rice"	0.104042
"Paul Pierce"	0.103685
"Allan Houston"	0.102398
"Matt Geiger"	0.101265
"Toni Kukoc"	0.101194
"Othella Harrington"	0.100508
"Donyell Marshall"	0.100487
"Eddie Jones"	0.100157
"Vince Carter"	0.0999642
"Kobe Bryant"	0.0993538
"Shandon Anderson"	0.0985633
"Kurt Thomas"	0.0983511
"Dan Majerle"	0.0971104
"Isaiah Rider"	0.0968233
"Joe Dumars"	0.096542
"Darrell Armstrong"	0.0954046
"Michael Finley"	0.095386
"Anthony Mason"	0.0952263
"Michael Dickerson"	0.0950262
"John Stockton"	0.0947594
"David Robinson"	0.0946211
"Patrick Ewing"	0.0942232
"Antoine Carr"	0.094011
"Kevin Willis"	0.0940088
"Marcus Camby"	0.0933052
"Dennis Scott"	0.0932946
"Rashard Lewis"	0.0932788
"Dirk Nowitzki"	0.0925403
"Sam Cassell"	0.0925086
"Dikembe Mutombo"	0.0924456
"Antawn Jamison"	0.0921161
"Maurice Taylor"	0.0919143
"Theo Fleury"	0.090634
"Jim Jackson"	0.089836
"Kenny Anderson"	0.0889538
"Austin Croshere"	0.0889505
"Joe Kleine"	0.0886696
"Charles Oakley"	0.0881389
"P.J Brown"	0.0880868
"Sherman Douglas"	0.0880858
"Anfernee Hardaway"	0.0880099
"Kerry Kittles"	0.087585
"Latrell Sprewell"	0.0861227
"Avery Johnson"	0.0858455
"Zydrunas Ilgauskas"	0.0858304
"Michael Wright"	0.0855544
"Brent Barry"	0.0855178
"Clyde Drexler"	0.0853715
MARBURY	0.085137
"John Wallace"	0.0851359
"Reggie Miller"	0.0851154
"Mark Bryant"	0.0844384
"Clarence Weatherspoon"	0.0838297
"Rick Fox"	0.0835378
"Kenyon Martin"	0.0828504
"Hersey Hawkins"	0.082689
"Samaki Walker"	0.0825957
"Ike Austin"	0.0824727
"Chris Crawford"	0.0823225
Divac	0.0811095
"CORIE BLOUNT"	0.0810808
"Nick Anderson"	0.0807916
"Travis Knight"	0.0807232
Hardaway	0.0797902
"Doug Gilmour"	0.0790621
"Dale Davis"	0.078734
"SCOTT BURRELL"	0.0786675
"Sam Mack"	0.0782635
"Derek Anderson"	0.0780893
"Tamika Catchings"	0.0779984
"Otis Thorpe"	0.0779665
"A.C. Green"	0.0774728
Olajuwon	0.0767595
"Dallas Drake"	0.0765043
"Jarvis Turner"	0.0763504
"Tony Massenburg"	0.0762958
"Gabe Muoneke"	0.0755088
"Pat Garrity"	0.0753096
"Jalen Rose"	0.0750575
"Matt Bullard"	0.074892
"Eric Snow"	0.0747768
"Ron Harper"	0.0745091
"Larry Johnson"	0.0738242
"Sean Elliott"	0.0734845
"Bonzi Wells"	0.073327
Barkley	0.0731646
"Jumaine Jones"	0.0729555
"Matt Maloney"	0.0728196
"Tim Thomas"	0.0727153
"Chris Porter"	0.0723599
"Hu Weidong"	0.0719984
"Kris Clack"	0.0719525
Garnett	0.0719388
"Tyrone Nesby"	0.0716766
Longley	0.0715555
"Tony Battie"	0.071427
"Jermaine O'Neal"	0.0713446
Kukoc	0.0710838
"Larry Hughes"	0.0708597
"Kendall Gill"	0.0704054
"Jamal Mashburn"	0.070286
"Keith Tkachuk"	0.0702836
"Steve Francis"	0.0699113
"Kenny Thomas"	0.069551
"J.R Reid"	0.0693726
Stackhouse	0.0690458
"Mario Elie"	0.0690164
"Jim Harrick"	0.0689038
"Jeremy Roenick"	0.0688834
"Billy Owens"	0.0684423
Pippen	0.068365
"Rick Tocchet"	0.0676285
"Tariq Abdul-Wahad"	0.0672938
"Steve Nash"	0.0672739
"ZIGMUND PALFFY"	0.067262
"Shannon Sharpe"	0.0671681
"Vernon Maxwell"	0.0667928
"Ian Wright"	0.0667869
"Alexei Kovalev"	0.0667336
"Robert Horry"	0.0666462
"Mike Miller"	0.0665406
"Jerome Kersey"	0.0663085
"Ante Razov"	0.0654051
"Jason Williams"	0.0653702
"Brian Scalabrine"	0.0650799
"Chris Mills"	0.0649886
"Robert Traylor"	0.0649849
"Lee Nailon"	0.0647623
"Jason Elam"	0.064755
"Dominique Wilkins"	0.0647282
"Antonio Davis"	0.0644781
Baerga	0.0643216
))
("Antonio Osuna" (desc 3710.4) (sims
"Mike Fetters"	0.386176
"Terry Adams"	0.374293
"Gregg Olson"	0.344601
"Russ Springer"	0.335601
"Matt Herges"	0.309626
"Jeff Shaw"	0.304177
"Alan Mills"	0.291686
"Jamie Arnold"	0.275146
"Paul Shuey"	0.253814
"Robinson Checo"	0.250391
"Byung-Hyun Kim"	0.232365
"Eric Gagne"	0.22998
"DOUG JONES"	0.221935
"Mike Judd"	0.22066
"Dave Mlicki"	0.220398
"Ricky Bottalico"	0.219098
"Pedro Borbon"	0.218829
"Ismael Valdes"	0.214937
"Matt Mantei"	0.212086
"Onan Masaoka"	0.206459
"Al Levine"	0.205791
"Darren Dreifort"	0.20533
"Rudy Seanez"	0.204569
"Greg McMichael"	0.203913
"Darren Holmes"	0.202722
"Tim Crabtree"	0.202709
"Mark Petkovsek"	0.2015
"Danny Patterson"	0.193333
"Woody Williams"	0.191672
"Jeff Nelson"	0.189939
"Armando Benitez"	0.189626
"Carlos Perez"	0.189579
"Dan Miceli"	0.188496
"Mark Leiter"	0.186683
"Mike Timlin"	0.183486
"Scott Radinsky"	0.183151
"Dennis Cook"	0.182196
"Pat Mahomes"	0.182009
"John Hudek"	0.178909
"John Wasdin"	0.178554
"Bryce Florie"	0.17667
"Derek Lowe"	0.17653
"Jay Powell"	0.175285
"Jeff Brantley"	0.174861
"Heathcliff Slocumb"	0.174837
"Danny Graves"	0.173374
"Turk Wendell"	0.173146
"Jeff Zimmerman"	0.172735
"Jesse Orosco"	0.171321
"Mark Guthrie"	0.169949
"Donne Wall"	0.169217
"Matt Morris"	0.169021
"John Burkett"	0.168295
"Chan Ho Park"	0.167795
"Greg Swindell"	0.167103
"Mike Morgan"	0.16677
"Scott Williamson"	0.165425
"Rich Garces"	0.164188
"Ramiro Mendoza"	0.163916
"Rick Aguilera"	0.16318
"Tom Gordon"	0.159953
"Troy Percival"	0.159882
"Andy Benes"	0.158576
"Doug Henry"	0.158254
"Armando Reynoso"	0.153516
"Jason Christiansen"	0.15329
"Mike Remlinger"	0.153093
"Brett Hinchliffe"	0.152377
"John Wetteland"	0.151947
"Robb Nen"	0.150925
"Todd Jones"	0.150876
"Scott Sullivan"	0.150216
"Mel Rojas"	0.150104
"Paul Abbott"	0.149256
"Scott Elarton"	0.14907
"Octavio Dotel"	0.149001
"Jason Isringhausen"	0.148823
Osuna	0.148631
"Kevin Tapani"	0.147917
"Brian Bohanon"	0.147322
"Kerry Ligtenberg"	0.146859
"Jim Corsi"	0.146789
"Ron Villone"	0.145985
"Randy Myers"	0.144854
"Jose Paniagua"	0.144681
"Willie Blair"	0.144629
"Jose Mesa"	0.14356
Mahomes	0.142447
"Alex Fernandez"	0.14237
"Billy Taylor"	0.141632
"Shigetoshi Hasegawa"	0.141117
"Jon Lieber"	0.140227
"Ramon Martinez"	0.139752
"Mike Stanton"	0.139199
"Ugueth Urbina"	0.138971
"Ryan Glynn"	0.138959
"Chuck McElroy"	0.138825
"Rick White"	0.138081
"Rod Beck"	0.137816
"Mike Holtz"	0.136408
"Kent Bottenfield"	0.135957
"Juan Castro"	0.135576
"Dave Burba"	0.133653
"Francisco Cordero"	0.132322
"Billy Wagner"	0.13224
"Pat Rapp"	0.132225
"Mark Gardner"	0.132004
"Steve Trachsel"	0.131872
"Bob Wickman"	0.131824
"Dustin Hermanson"	0.131635
"John Franco"	0.131526
"Jack McDowell"	0.131393
"Kevin McGlinchy"	0.131322
"Mike Magnante"	0.129684
"Rheal Cormier"	0.1296
"Tim Belcher"	0.129111
"Kevin Elster"	0.12898
"Alan Embree"	0.128931
"Chris Carpenter"	0.127252
"Gil Heredia"	0.126628
"Dennis Martinez"	0.12628
"Steve Parris"	0.124977
"Javier Vazquez"	0.12467
"Mark Portugal"	0.124178
"Freddy Garcia"	0.124072
"Russ Ortiz"	0.124013
"Terry Mulholland"	0.123163
"Jason Dickson"	0.122007
"Brett Tomko"	0.121173
"Esteban Loaiza"	0.1209
"Jason Grimsley"	0.120446
"Scott Erickson"	0.120265
"Todd Hollandsworth"	0.120143
"Kazuhiro Sasaki"	0.119992
"F.P Santangelo"	0.11982
"Arthur Rhodes"	0.11966
"Kevin Brown"	0.119569
"Todd Stottlemyre"	0.119279
fetter	0.11892
Trachsel	0.118363
"Francisco Cordova"	0.11816
"Brian Rose"	0.117978
Valdes	0.117079
"Ramon Ortiz"	0.11701
"Pete Harnisch"	0.116966
Rusch	0.1167
"Frankie Rodriguez"	0.116304
"Bret Saberhagen"	0.115173
"Rick Reed"	0.114756
"Vladimir Nunez"	0.114585
"Mark Clark"	0.114435
"Rich Rodriguez"	0.114303
"Graeme Lloyd"	0.114101
"Jose Jimenez"	0.113976
"Hideo Nomo"	0.113698
"Ken Hill"	0.113611
"Joey Hamilton"	0.113319
"Mac Suzuki"	0.113012
"Kevin Appier"	0.112643
"Mark Langston"	0.111813
"Paul Byrd"	0.111686
"Pedro Astacio"	0.111412
"Mariano Rivera"	0.110788
"Carl Pavano"	0.110113
"Adrian Beltre"	0.110112
"BRIAN MEADOWS"	0.110031
"Scott Karl"	0.109435
"Brian Moehler"	0.109423
"Ryan Dempster"	0.109218
Schourek	0.109135
"Orel Hershiser"	0.108944
"Rolando Arrojo"	0.107362
"Jason Schmidt"	0.107024
"Mark Wohlers"	0.107016
"Jaret Wright"	0.106809
"Kerry Wood"	0.106622
"John Smoltz"	0.106314
"Jeff Weaver"	0.106038
"Wilson Alvarez"	0.106036
"Jose Vizcaino"	0.10577
"Ken Cloude"	0.105643
"Tim Wakefield"	0.105222
Gagne	0.105075
"Trevor Hoffman"	0.104961
"Jeff Williams"	0.104499
"Jason Bere"	0.104307
"Shane Reynolds"	0.104272
Dempster	0.104239
Harnisch	0.104236
"Mike Williams"	0.103818
"Rick Helling"	0.103595
"Charles Nagy"	0.103411
"Mike Mussina"	0.102347
"Omar Olivares"	0.102092
"Bill Pulsipher"	0.101695
"Dwight Gooden"	0.101065
"Chris Holt"	0.100375
"Shawn Estes"	0.10035
"Tom Candiotti"	0.100011
"Mike Venafro"	0.0999401
))
(Antony (desc 1555.28) (sims
"Richard III"	0.253921
Falstaff	0.152225
Macbeth	0.14534
Othello	0.123843
"Julius Caesar"	0.119002
"King Lear"	0.117722
"Twelfth Night"	0.0939518
Romeo	0.0896521
Cleopatra	0.0805932
Lear	0.0789667
"Peony Pavilion"	0.0754139
sonnet	0.0721739
Turandot	0.0712443
Juliet	0.0701138
tempest	0.0699895
"Anna Karenina"	0.0672934
"La Traviata"	0.0659398
Nutcracker	0.0619222
"Jenny Jones Show"	0.0609473
Iceman	0.0579309
"LA BOHEME"	0.0562376
Ramona	0.0553626
"Don Giovanni"	0.0548787
"Swan Lake"	0.0547673
"Roman Empire"	0.0544947
"Don Quixote"	0.0542831
"Music Man"	0.0541407
Abner	0.0499054
"Richard Pryor"	0.0495298
Otello	0.0494958
Godot	0.0484075
"Happy Days"	0.0482562
CFCs	0.0474704
"caustic soda"	0.0470429
"Iceman Cometh"	0.046924
"Roundabout Theater Company"	0.0464557
"sleeping beauty"	0.0462008
Gertrude	0.0449741
"Smoke Signals"	0.04477
Salome	0.043099
"Expo @@@@"	0.0426806
"Beauty Queen"	0.0424544
"pig iron"	0.0423269
"Bing Crosby"	0.0422591
"Company of Men"	0.0412049
Isolde	0.0412011
))
(antsy (desc 2159.14) (sims
picky	0.148195
timid	0.13045
hyper	0.125506
gung-ho	0.105022
rowdy	0.100348
double-teamed	0.0957644
paranoid	0.0947116
"good person"	0.0923857
overweight	0.0905017
downbeat	0.0873116
sore	0.0839788
up-front	0.0805756
"breathing space"	0.0805161
eye-opening	0.0803456
wont	0.0762706
"breathing room"	0.0760763
drug-free	0.0758751
"jumping up and down"	0.0747149
wacko	0.0742939
"hard worker"	0.0733565
outta	0.0733325
smoother	0.0725741
typecast	0.070735
alarmist	0.0704903
"solid ground"	0.0697247
"good story"	0.0696764
grating	0.0691529
"second person"	0.068945
"big leaguer"	0.0682884
Americanized	0.0677455
"elbow room"	0.067316
"guardian angel"	0.0666516
wimp	0.0664138
heretic	0.065926
midget	0.065104
"preconceived notion"	0.0648208
HIV-positive	0.0648167
cipher	0.0646092
agnostic	0.0639616
queer	0.0633513
"great deal"	0.0631771
grown-up	0.0626917
"important person"	0.0623324
proactive	0.0621643
"fall guy"	0.0618598
"paying attention"	0.0618431
worrier	0.0617009
heartening	0.0611835
upfront	0.0611444
techie	0.0606769
snob	0.0606466
"NBA All-Star"	0.060552
"first pitcher"	0.0603404
darn	0.0598171
"good word"	0.059771
"risk taker"	0.0597656
"good guy"	0.0595698
preachy	0.059413
inkling	0.0593846
typist	0.0591286
warmer	0.0582815
hands-on	0.0582638
"prima donna"	0.0569413
recluse	0.0569299
doggone	0.0567314
expletive	0.0566289
neurotic	0.0558833
paraplegic	0.0557726
"altar boy"	0.0557507
Kurd	0.0556052
handicapper	0.055577
bubbly	0.0555466
fella	0.0552954
"center of attention"	0.0551395
"black person"	0.0549999
bloomer	0.0547929
transsexual	0.0547835
boob	0.0547516
"goose bumps"	0.0545838
"good spirit"	0.0545355
back.	0.0543788
"rich man"	0.0542209
loudest	0.0541556
egomaniac	0.053713
accepting	0.0537101
"role player"	0.0532868
schizophrenic	0.053113
"draft dodger"	0.0530756
levity	0.052941
realist	0.052677
idealist	0.0524276
stomachache	0.0522073
"old school"	0.0521492
"mentally retarded"	0.0520896
lifer	0.0520084
punchline	0.0517779
stuntman	0.051614
puncher	0.0513575
junkie	0.051349
"making love"	0.0511877
"throwing away"	0.0510843
"Good Book"	0.0510386
trepidation	0.0509806
swinger	0.0509022
drawstring	0.0509006
quickest	0.0508228
battler	0.0507074
lashing	0.0506138
"over $@ million"	0.0505974
drier	0.0505508
perfectionist	0.0504009
pushover	0.050387
"white person"	0.0502497
"New Democrat"	0.0501026
cost-conscious	0.0500509
moron	0.0500339
"young lady"	0.0498546
gook	0.0496934
simpatico	0.0495577
ass	0.049537
"close call"	0.0494312
"free spirit"	0.0492605
goofball	0.0492498
colorblind	0.049192
quadriplegic	0.0491636
"Russ Johnson"	0.0489249
brat	0.0487678
"charter member"	0.0487606
"first @@@"	0.0487519
breather	0.0486499
dribbler	0.0486301
humanist	0.0484085
preppy	0.0483996
"pain in the neck"	0.0482863
user-friendly	0.0482525
"public speaker"	0.048242
whiner	0.0480861
"hockey player"	0.0478995
bodybuilder	0.0477165
"big sister"	0.0476964
"farm boy"	0.047374
legit	0.0472395
geezer	0.0471665
"hot issue"	0.0471256
ill.	0.0471016
sadist	0.0469562
bitch	0.0467625
jerky	0.0467398
"character actor"	0.0465726
nigger	0.0465588
figurehead	0.0465276
diabetic	0.0463825
twinge	0.0462526
"persona non grata"	0.0460644
provocateur	0.0459363
rumour	0.0458964
"old lady"	0.0458042
crowd-pleaser	0.0457002
hawkish	0.0456457
miler	0.0453909
pro-life	0.0451626
overachiever	0.0449885
"white knight"	0.0449432
personification	0.0447384
pro-choice	0.0447087
outcast	0.0444326
Buggy	0.0443475
tomboy	0.0443158
valedictorian	0.0441221
doer	0.0440071
capri	0.0439793
"certified public accountant"	0.0438828
idiot	0.0436182
"speeding ticket"	0.0435433
sucker	0.0435217
"world traveler"	0.0434715
"inferiority complex"	0.0433845
pizazz	0.0433809
"guitar player"	0.0433042
"Chris Gomez"	0.0431911
charmer	0.0431706
"whipping boy"	0.0431051
sweating	0.0430111
rascal	0.0429747
GPU	0.0429736
"bad guy"	0.042912
market-oriented	0.0428031
critter	0.0427961
Daryl	0.0427869
fancier	0.0426875
turncoat	0.0426751
nosebleed	0.0426324
"chess player"	0.0423997
kitten	0.0423187
flak	0.0423136
"good sense"	0.0422922
brawler	0.0422879
jokester	0.0422123
cellphone	0.0421559
hypocrite	0.0421004
))
(Antwerp (desc 6420.25) (sims
Charleroi	0.134192
Basle	0.129378
Dusseldorf	0.124697
Duesseldorf	0.122002
Leipzig	0.120877
Gdansk	0.114574
Rotterdam	0.112759
Pusan	0.112708
Eindhoven	0.111964
Stuttgart	0.110904
Madras	0.110303
Toulon	0.109973
"San Sebastian"	0.109822
Bremen	0.109456
Dresden	0.1089
Perth	0.108248
Lugano	0.108232
Zurich	0.108197
Trondheim	0.107466
Utrecht	0.106423
Amsterdam	0.105466
Hamburg	0.105128
Halle	0.104997
PALERMO	0.104121
Malmo	0.102595
Milan	0.102399
Munich	0.102294
Adelaide	0.101611
Copenhagen	0.100786
"CHIANG MAI"	0.0991384
Hobart	0.0978826
Frankfurt	0.0975589
Lianyungang	0.0958043
Kitzbuehel	0.0956166
Linz	0.0955002
Strasbourg	0.0950493
BASEL	0.0949938
Filderstadt	0.0945981
Osaka	0.0942963
Cologne	0.094002
MELBOURNE	0.0935945
Bushehr	0.0923248
Hanover	0.0922379
Ensenada	0.0919714
Berlin	0.0918776
Yokohama	0.0916561
Haifa	0.0915596
Cartagena	0.0905396
Cardiff	0.0905092
Liege	0.0899892
Barcelona	0.0897224
Riga	0.0887199
Madrid	0.0886956
Eastbourne	0.0881766
"St. Petersburg"	0.0878832
"St Petersburg"	0.0876725
Brisbane	0.087634
Durban	0.0869588
Doha	0.0868597
BRUSSELS	0.0866405
Nagoya	0.086364
Makhachkala	0.0857983
Ghent	0.0855875
Birmingham	0.0855666
Asuncion	0.085063
"Key Biscayne"	0.0843285
Durres	0.0841799
Izmit	0.0840415
Auckland	0.0839202
Lausanne	0.0837713
Tokyo	0.0837066
Hyderabad	0.0826757
Acapulco	0.0819101
Salzburg	0.0818002
Calais	0.0816514
Vladivostok	0.0811777
"European Swimming Championships"	0.0811296
Cebu	0.0810359
Dunkirk	0.0810187
Prague	0.0809675
Aqaba	0.0806908
BRATISLAVA	0.0806383
Vienna	0.0805988
Matamoros	0.0803321
Bombay	0.0798627
Rome	0.0797297
Dubrovnik	0.0792764
Nuremberg	0.0786399
Sestriere	0.0786181
Lucerne	0.0785338
Genoa	0.0774559
Trieste	0.0774233
Surabaya	0.0774105
"Indian Wells"	0.07721
Gudermes	0.0771914
Vladikavkaz	0.0770262
"The Hague"	0.0769113
Geneva	0.0766501
Pattaya	0.076613
Dublin	0.0765005
Tapachula	0.0764186
Marseille	0.0763261
"Oklahoma City"	0.0760273
Gelsenkirchen	0.0759905
Murmansk	0.0759767
Yogyakarta	0.0755704
Bern	0.0753051
Istanbul	0.0752717
Gothenburg	0.0751496
"New Haven"	0.0751076
Goteborg	0.07509
"Port Elizabeth"	0.0750697
Memphis	0.0749881
Vitoria	0.0747939
Novosibirsk	0.0745819
Tashkent	0.074569
Matadi	0.0743174
Carlsbad	0.074225
"Long Beach"	0.0736709
Marseilles	0.0736699
Florence	0.0735778
"Sao Paulo"	0.0735041
Valencia	0.0732322
Sapporo	0.0731338
Riyadh	0.0730787
Casablanca	0.0727573
"Wimbledon Tennis Championships"	0.0726911
Warri	0.0723704
Puebla	0.0722174
Minsk	0.0717934
Aachen	0.0716152
Ashkelon	0.0715362
Havana	0.0714938
Seville	0.0714034
Sidon	0.0713791
Sevastopol	0.0711202
Malaga	0.0710527
"Stockholm Open"	0.0708945
MAPUTO	0.0708589
Toulouse	0.0707643
Jeddah	0.0706892
Krakow	0.0706276
Lumbini	0.069902
SEOUL	0.069845
Helsinki	0.0697
Cairns	0.0696386
Heerenveen	0.0694714
STOCKHOLM	0.0690539
Guayaquil	0.0688559
"International Badminton Federation"	0.0688505
ATHENS	0.0687754
Karachi	0.0687307
Chiba	0.0687023
Beira	0.0686707
Berne	0.068571
"Port Said"	0.0685247
Turin	0.0685175
Atambua	0.068458
Belfast	0.0681739
Inchon	0.0680849
MANAMA	0.0680176
"Mexico City"	0.0679916
"Monte Carlo"	0.0678978
Ambon	0.0677662
Fukuoka	0.067657
Calcutta	0.0674265
Bonn	0.0673155
Montreal	0.067248
"San Juan"	0.0672233
Rostock	0.0672105
DUBAI	0.0669093
Bethlehem	0.0667246
Lucknow	0.0666429
Trincomalee	0.0666332
LISBON	0.066628
Davao	0.0666212
Lhokseumawe	0.0665678
Larnaca	0.066473
Karlsruhe	0.0663238
"La Paz"	0.0662793
Lille	0.0662408
Thessaloniki	0.0661978
Baidoa	0.0661832
Mombasa	0.066143
Guadalajara	0.0660818
"San Bernardino"	0.0660386
Dushanbe	0.0657668
Duluth	0.0657558
Krasnoyarsk	0.0657353
Algiers	0.0655783
"San Pedro Sula"	0.0654422
"Gold Coast"	0.0654325
"Hilton Head"	0.0654227
Imola	0.0652638
Windhoek	0.0651933
"Kuala Lumpur"	0.0651499
Alexandria	0.0650578
COLOMBO	0.0650269
Nagano	0.0650224
Plata	0.0649885
))
(Antz (desc 5969.77) (sims
"Smoke Signals"	0.179496
"chicken run"	0.16207
"Stuart Little"	0.154348
"Titan A.E."	0.147759
"Eyes Wide Shut"	0.142819
Mulan	0.142067
"Galaxy Quest"	0.137212
"Toy Story"	0.136239
"American Beauty"	0.133709
"Runaway Bride"	0.132982
"Saving Private Ryan"	0.131653
"Iron Giant"	0.126027
EdTV	0.121362
"Fight Club"	0.119473
"Truman Show"	0.117718
"Deep Impact"	0.116434
"Patch Adams"	0.116366
Waterboy	0.115939
"Erin Brockovich"	0.111354
"Life Is Beautiful"	0.109008
"American Pie"	0.108608
"Cruel Intentions"	0.107929
"Civil Action"	0.106614
"Thin Red Line"	0.106115
"Inspector Gadget"	0.105123
Rushmore	0.103896
"Phantom Menace"	0.0997207
Armageddon	0.0946701
"Princess Mononoke"	0.0936304
"Get Real"	0.0930709
"South Park"	0.0930185
Titanic	0.0916554
"Lethal Weapon @"	0.091226
Tarzan	0.0911726
Rugrats	0.0906636
ROUNDERS	0.0905468
Ronin	0.0902033
Gladiator	0.0900404
"Double Jeopardy"	0.0895878
"Mighty Joe Young"	0.0894731
"Nurse Betty"	0.0894346
"Cradle Will Rock"	0.088541
"Blair Witch"	0.0871728
"high fidelity"	0.0865323
"Blair Witch Project"	0.0862473
Pleasantville	0.0851236
"Citizen Kane"	0.0844792
U-@@@	0.0844326
"Meet Joe Black"	0.0843007
Matrix	0.0840165
"El Dorado"	0.0835249
"holy man"	0.0830875
"Rugrats Movie"	0.0827204
"Family Guy"	0.0826344
"Mickey Blue Eyes"	0.0817393
Futurama	0.0798965
Amistad	0.0792417
"sixth sense"	0.0791312
"Jerry Maguire"	0.078954
"Lion King"	0.0787778
Dolittle	0.0766847
"Got Mail"	0.0755437
Bulworth	0.0755293
"Jurassic Park"	0.0755068
"Pulp Fiction"	0.0754853
"Cider House Rules"	0.0754449
"Wild Wild West"	0.0750116
Girlfight	0.0749943
Bowfinger	0.0749118
pi	0.0748456
"BUENA VISTA SOCIAL CLUB"	0.0744076
"Central Station"	0.0735813
"Good Will Hunting"	0.0729166
psycho	0.0727021
"L.A Confidential"	0.0722419
"Big Daddy"	0.0713289
"Waking Ned Devine"	0.0708843
"Being John Malkovich"	0.0702036
"Toy Story @"	0.0699545
Zorro	0.0698233
"Opium War"	0.068025
prequel	0.0668972
Footloose	0.0663634
sequel	0.065721
"Notting Hill"	0.0651769
"Boogie Nights"	0.0651636
"rush hour"	0.0645619
"Perfect Storm"	0.0644259
Magnolia	0.064371
Fantasia/@@@@	0.0643271
"Varsity Blues"	0.0641996
stepmom	0.064026
"Animal House"	0.0636749
entrapment	0.063483
Godzilla	0.0634331
epic	0.063327
Madeline	0.0628848
"Star Wars"	0.0626788
"High Art"	0.0626341
Tootsie	0.062479
"Dudley Do-Right"	0.0619123
X-MEN	0.0615427
"Forrest Gump"	0.0608354
Dilbert	0.0601235
"Very Bad Things"	0.0600226
"snake eyes"	0.0596646
Jawbreaker	0.0596444
Shakespeare	0.0593924
Paulie	0.0593328
affliction	0.0589159
"Little Voice"	0.0586808
Anastasia	0.0580523
payback	0.0578953
Dharma	0.0578825
"Thomas Crown Affair"	0.0576677
E.T	0.0575242
"Andy Kaufman"	0.0574158
Braveheart	0.0572011
"Scary Movie"	0.0570202
"Austin Powers"	0.0567148
"Snow White"	0.0561999
Pinocchio	0.0559242
Othello	0.0555352
"feature film"	0.055414
remake	0.0553144
"Larry Sanders Show"	0.0549164
dogma	0.0547687
Dinosaur	0.0546403
insurrection	0.0543698
"Hollow Man"	0.0542121
Bullwinkle	0.05404
"True Thing"	0.0540394
"Space Cowboys"	0.0540063
LIMEY	0.0528131
blockbuster	0.0525989
Selena	0.0522322
"Natural Born Killers"	0.0521643
Beavis	0.0519953
swinger	0.0519906
"Full Monty"	0.0519638
sci-fi	0.0518883
"Scream @"	0.0517264
Pokemon	0.0515462
babe	0.0515358
reissue	0.0515096
"wing commander"	0.0510473
"love letter"	0.0510307
"Green Mile"	0.0507365
Bambi	0.050374
Pixar	0.050226
"comic strip"	0.0500427
"Velvet Goldmine"	0.0499046
"pitch black"	0.0498781
tango	0.0498081
twister	0.0497281
"Impossible @"	0.0495607
"motion picture"	0.0494323
"Don Quixote"	0.0494257
wonderland	0.0494231
Batman	0.0493266
Frankenstein	0.0491523
"wonder boy"	0.0490104
"television show"	0.0488676
Wilde	0.0487803
"Peony Pavilion"	0.0485007
"Sleepy Hollow"	0.0484083
"Cosby Show"	0.0483058
"Taxi Driver"	0.0480165
Pecker	0.0477882
FARGO	0.0475519
Lolita	0.047478
Hercules	0.0474404
Stigmata	0.0472821
"Primary Colors"	0.0472443
"Star Trek"	0.0470687
"TV show"	0.0466392
Macbeth	0.0465455
Simpsons	0.0464821
X-Files	0.0464753
Trainspotting	0.0461634
Miramax	0.0461476
Aida	0.046028
fable	0.0459747
"Simple Plan"	0.0458881
Mary	0.0458871
thriller	0.0457376
"best man"	0.0455762
"Lake Placid"	0.0454498
"Howdy Doody"	0.0452929
DreamWorks	0.0452466
CGI	0.0451908
"Perfect Murder"	0.0451904
Thelma	0.0451635
happiness	0.0450411
"Lilith Fair"	0.0447863
"Apt Pupil"	0.0445858
Everest	0.0445611
"English Patient"	0.0441672
miniseries	0.0440918
"Via Dolorosa"	0.0440061
))
(anvil (desc 3622.11) (sims
malathion	0.245091
DDT	0.102376
fungicide	0.0859028
insecticide	0.0854232
chisel	0.0833229
"rolling pin"	0.0649178
herbicide	0.0642569
crowbar	0.0629242
"water table"	0.0599752
Occidental	0.0599347
mallet	0.058612
sickle	0.056201
"toilet seat"	0.0552511
disinfectant	0.0544792
cyanide	0.0538987
icicle	0.0538184
Deet	0.0522587
screwdriver	0.0521264
"electrical device"	0.0503506
defoliant	0.0493445
spraying	0.0490427
projectile	0.0480524
"cluster bomb"	0.0457959
"bank rate"	0.0453819
"oxygen mask"	0.0450327
bomblets	0.0448954
nightstick	0.0445028
hyphen	0.0444945
nostrum	0.0435194
REPELLENT	0.0432847
around-the-clock	0.0425975
barbell	0.0425132
"pop fly"	0.0422525
caseloads	0.0418931
"evening bag"	0.0417943
"pocket watch"	0.0415027
hourglass	0.0412233
"hand tool"	0.0411625
tongs	0.0405829
musket	0.0404705
))
(Anwar (desc 38875.8) (sims
"Anwar Ibrahim"	0.252535
Suharto	0.130315
Sharif	0.129682
Pinochet	0.12888
Mahathir	0.125964
Karbaschi	0.120579
Ocalan	0.116935
Lee	0.113654
Soeharto	0.11286
Berenson	0.112465
defendant	0.109019
Stepashin	0.106872
Berisha	0.106413
Kaunda	0.103798
Clinton	0.103688
Gusinsky	0.100436
Gotti	0.0996536
Weizman	0.0977421
McDougal	0.096643
Yeltsin	0.0954711
Mandela	0.0952474
Lazarenko	0.0947177
Sankoh	0.093832
Mugabe	0.0936169
"Mahathir Mohamad"	0.0934013
Skakel	0.0928808
Nikitin	0.0927785
Cisneros	0.0926928
Primakov	0.0924627
Deri	0.091803
"Wen Ho Lee"	0.0907043
Nouri	0.0906729
Habibie	0.0892147
Rao	0.0890458
KEVORKIAN	0.0874794
Symington	0.087017
Bhutto	0.0867391
Abu-Jamal	0.0867161
"Russell Peeler"	0.0867013
Fagan	0.0858226
suspect	0.0858086
Woodward	0.0856205
Schwarz	0.0854379
dissident	0.0848877
President	0.0848357
Ibrahim	0.084672
Speight	0.084425
Manbar	0.0842007
Agca	0.0835513
Hubbell	0.0828634
Stayner	0.0828287
Botha	0.0827803
Netanyahu	0.082675
Kohl	0.0820762
Megret	0.0817828
Capano	0.0816298
"Hun Sen"	0.0814611
Cardoso	0.0813833
xu	0.0813545
Gingrich	0.0811507
"Augusto Pinochet"	0.0810965
Khatami	0.0810807
Mikhailov	0.0809352
Starr	0.0799864
Castro	0.0798727
"Nawaz Sharif"	0.0792985
"Iranian Jews"	0.0792249
McVeigh	0.0788173
smith	0.0784405
Ranariddh	0.0782614
furrow	0.0782419
Berezovsky	0.0782294
Papon	0.0781043
Graham	0.0780204
"Sam Rainsy"	0.0779217
Skuratov	0.077912
Priebke	0.0778909
Fujimori	0.0776305
Kiareldeen	0.0773494
Sheppard	0.0768128
Shayler	0.0767529
minister	0.0767345
"Raul Salinas"	0.0765078
Wang	0.0764976
hale	0.0764759
Trie	0.0763273
Pollard	0.0762997
Tyson	0.0761989
Montesinos	0.0761675
Blackthorne	0.0758511
McKinney	0.0758361
Milosevic	0.0758331
Nixon	0.0757553
Salinas	0.0756093
Chernomyrdin	0.0749968
Al-Amin	0.0749504
Putin	0.0748719
Chavez	0.0746586
Merlino	0.0744517
Lundberg	0.0742074
officer	0.0741642
peeler	0.0741438
Mitnick	0.0741199
Johnson	0.0739644
Chirac	0.0739424
Samaranch	0.0737057
Kabila	0.0736322
gore	0.0734868
Faulder	0.0734494
Ershad	0.0733709
Wahid	0.0731812
inmate	0.0729948
Chen	0.0728791
Blair	0.0726989
Zacarias	0.0726534
Sharpton	0.0725732
Yassin	0.0724781
Ganga	0.0724302
Abiola	0.0723108
"Maturino Resendiz"	0.0721022
Hsia	0.0719295
"Louise Woodward"	0.0718934
Kaczynski	0.0717604
Barak	0.0716852
McGinn	0.0716645
Saddam	0.0716131
"Benazir Bhutto"	0.0715336
Mordechai	0.0714085
Kiriyenko	0.0712
Karadzic	0.0710564
Neulander	0.0710469
Estrada	0.0709524
Babitsky	0.0708827
Sebaggala	0.070823
Bakaly	0.0706672
Faget	0.0705757
"Benjamin Netanyahu"	0.0705052
Kim	0.0702095
Lewinsky	0.0702061
Sakic	0.0701885
Rugova	0.0699816
Lim	0.0697616
Simpson	0.0697569
Ahmed	0.0695727
LeFave	0.0694157
"Sergei Kiriyenko"	0.0693678
Bush	0.0693475
Flemmi	0.069297
Volpe	0.0692601
Steele	0.0691825
Gusmao	0.069174
McCain	0.0689816
Mahuad	0.0689713
Edwards	0.0683939
Goldstein	0.0683298
"Yevgeny Primakov"	0.0680497
Tripp	0.067989
Boesak	0.0679686
Berlusconi	0.0675647
Lebed	0.0674707
Arafat	0.0672922
Draskovic	0.0672393
Megawati	0.0672132
Muhammad	0.0671106
deputy	0.0669961
Einhorn	0.0669951
Mbeki	0.066983
Schroeder	0.0669278
Gravano	0.0668799
"cabinet minister"	0.066803
Peres	0.0667676
Abernathy	0.0667046
Livoti	0.0665845
"Suu Kyi"	0.0665637
Jones	0.0665582
dictator	0.0664722
General	0.0663952
Elian	0.0663586
Ciller	0.0663125
Zhu	0.0662842
Frankel	0.0662043
"police officer"	0.0660682
Hofer	0.0660368
Chuan	0.0660353
accused	0.0660172
Lyons	0.0659641
Barton	0.06596
Fischer	0.0659517
Chubais	0.0659341
Babbitt	0.065912
prisoner	0.0658814
Aristide	0.0658535
Abacha	0.065611
Sheinbein	0.0656005
Giuliani	0.0655253
Chaudhry	0.0655019
Musharraf	0.0654988
Schweitzer	0.065436
Yilmaz	0.0653802
Obuchi	0.0653674
))
("Anwar Ibrahim" (desc 12291.1) (sims
Anwar	0.252535
"Mikhail Kasyanov"	0.192001
"Eisuke Sakakibara"	0.147428
"Kiichi Miyazawa"	0.14265
"Abdullah Ahmad Badawi"	0.142436
"Boris Nemtsov"	0.141832
"Sergei Stepashin"	0.141556
"Yuri Maslyukov"	0.13903
"Amnuay Virawan"	0.138797
"Benazir Bhutto"	0.138753
"John Prescott"	0.137409
"Tim Fischer"	0.136919
"Mahathir Mohamad"	0.1362
"Vuk Draskovic"	0.135969
"Seamus Mallon"	0.133392
"Supachai Panitchpakdi"	0.125821
"Daim Zainuddin"	0.124996
"Sergei Kiriyenko"	0.123245
"Vojislav Seselj"	0.121769
"Oskar Lafontaine"	0.121548
"Laurent Fabius"	0.120537
"Pascoal Mocumbi"	0.117992
"Chavalit Yongchaiyudh"	0.117989
"Necmettin Erbakan"	0.115401
"Yevgeny Primakov"	0.114181
"Nawaz Sharif"	0.114004
"Yitzhak Mordechai"	0.1139
"Wolfgang Schaeuble"	0.113819
"Xu Wenli"	0.113671
"Sam Rainsy"	0.112151
"Alexander Shokhin"	0.111641
"Lee Hsien Loong"	0.111372
"Chuan Leekpai"	0.110791
Ibrahim	0.108962
"Inder Kumar Gujral"	0.108035
"Mikulas Dzurinda"	0.106363
"Bulent Ecevit"	0.105008
"Tansu Ciller"	0.104792
"Mesut Yilmaz"	0.103428
"Frederick Sumaye"	0.103304
"Boris Fyodorov"	0.101952
"Lokendra Bahadur Chand"	0.101019
"Tariq Aziz"	0.100894
"Augusto Pinochet"	0.100565
"Atal Bihari Vajpayee"	0.100551
"Bashkim Fino"	0.100435
"Salim Hoss"	0.100295
"Valery Pustovoitenko"	0.0999682
Stepashin	0.0998232
"Phan Van Khai"	0.0995746
"Momir Bulatovic"	0.0993819
"Anatoly Chubais"	0.0986719
"Atal Behari Vajpayee"	0.098668
"Natan Sharansky"	0.0977549
"Abu Mazen"	0.0972843
"Jean Chretien"	0.0967893
Sharif	0.0962171
"Iranian Jews"	0.0961797
"Abdollah Nouri"	0.0961017
Mahathir	0.0951099
"Antonio Guterres"	0.0946985
"Silvio Berlusconi"	0.0944904
"Rafik Hariri"	0.0942667
"Viktor Chernomyrdin"	0.0942547
"Tareq Aziz"	0.0940081
"Wen Ho Lee"	0.0938574
"Mahmoud Abbas"	0.0931486
"John Major"	0.0918902
"John Howard"	0.0918359
"Bertie Ahern"	0.0916079
"Dan Meridor"	0.0915368
Ranariddh	0.0915119
"Michael Heseltine"	0.0910974
"Jenny Shipley"	0.0910883
"Igor Ivanov"	0.091057
"Sali Berisha"	0.0908872
"Moshood Abiola"	0.0906423
"Yoshiro Mori"	0.0904682
"Ivan Kostov"	0.0901872
Lazarenko	0.089961
"Aryeh Deri"	0.0895988
"Pandeli Majko"	0.0895628
"Deve Gowda"	0.0893357
Karbaschi	0.0888581
"Yossi Sarid"	0.0879075
"Susan McDougal"	0.0876184
"Bruno Megret"	0.0875927
Rao	0.0873915
"Jose Maria Aznar"	0.0872539
"Keizo Obuchi"	0.0872328
Deri	0.0872158
Suharto	0.086837
"Krishna Prasad Bhattarai"	0.0867967
"Fayez Tarawneh"	0.0866697
"Vladimir Putin"	0.0864327
Ocalan	0.0863454
Nouri	0.0863094
"finance minister"	0.0860661
"Pakalitha Mosisili"	0.0860013
"Ariel Sharon"	0.0859652
"Shimon Peres"	0.0859028
"Ong Ewe Hock"	0.0858117
"Lionel Jospin"	0.08555
"John Bruton"	0.0851036
"David Trimble"	0.0850792
"Sheikh Hasina"	0.085056
"Goran Persson"	0.0848752
"Abdullah Ocalan"	0.0846821
"Khaleda Zia"	0.0846179
"Viktor Orban"	0.0837578
"Yossi Beilin"	0.0833534
Papon	0.082682
Primakov	0.08243
"Goh Chok Tong"	0.0818778
"George Robertson"	0.0818032
"Wang Dan"	0.0816725
Chubais	0.0810033
"Atef Obeid"	0.0808965
"Sartaj Aziz"	0.080896
Bhutto	0.080715
"Lee Kuan Yew"	0.0806476
"Lamberto Dini"	0.0806128
Nikitin	0.0804703
"Girija Prasad Koirala"	0.0804356
"Vaclav Klaus"	0.0804098
"Vo Van Kiet"	0.0803248
Kaunda	0.0802587
"Nabil Shaath"	0.0802571
"Ehud Barak"	0.0801278
"Qian Qichen"	0.0799558
"Igor Sergeyev"	0.0798661
"Helen Clark"	0.0790109
"Milos Zeman"	0.0787215
"H.D Deve Gowda"	0.0786717
McGinn	0.078489
"Hun Sen"	0.0784751
"Paul Keating"	0.0782967
"Romano Prodi"	0.0782438
Ecevit	0.0782338
Sankoh	0.0780248
"Benjamin Netanyahu"	0.0780076
Agca	0.0776835
"Felipe Gonzalez"	0.0776213
"David Levy"	0.0775121
"Tang Jiaxuan"	0.0771254
Chaudhry	0.0766714
"Wu Yi"	0.0766523
"Tony Blair"	0.0765827
el-Ganzouri	0.076546
Pinochet	0.0763218
"John Anderson"	0.0762402
"Costas Simitis"	0.076059
"I.K Gujral"	0.0758434
"Ieng Sary"	0.0756577
"Milorad Dodik"	0.0752611
"Victor Chernomyrdin"	0.0752129
Priebke	0.0749208
"Azem Hajdari"	0.0748342
"Louise Woodward"	0.0747175
Chuan	0.0742246
"Yasser Abed Rabbo"	0.0740063
Chernomyrdin	0.0738854
"Rajiv Gandhi"	0.0737691
Markhasev	0.0737546
Hariri	0.0736198
Kiriyenko	0.0734118
Wiranto	0.0733455
"Alain Juppe"	0.0730496
"Jaswant Singh"	0.0728394
Al-Sabah	0.0727959
Hasina	0.0725993
Mbeki	0.0724289
"Radu Vasile"	0.0722841
Erbakan	0.0722725
"Jack Straw"	0.0722692
"Wei Jingsheng"	0.0722569
"Shi Guangsheng"	0.0722535
"Megawati Sukarnoputri"	0.0721867
"Vladimir Meciar"	0.0720464
"Lawrence Summers"	0.0719199
Zeng	0.0717508
Jia	0.0717159
Erekat	0.071697
Berenson	0.0716643
"Joschka Fischer"	0.0716606
Gotti	0.0715232
Kinkel	0.0713928
Obuchi	0.0708962
Premier	0.0705591
"Ryutaro Hashimoto"	0.0705322
"Thabo Mbeki"	0.0705271
"Russell Peeler"	0.0704502
Mordechai	0.0703868
al-Sahhaf	0.0703769
"Manuel Noriega"	0.0702707
Mokhehle	0.0701486
McDougal	0.069865
"Raul Salinas"	0.0696814
Lee	0.0695496
Sebaggala	0.0688966
))
(anxiety (desc 52397.9) (sims
fear	0.206346
nervousness	0.201757
frustration	0.196118
anger	0.192399
uncertainty	0.190895
confusion	0.18263
worry	0.176421
panic	0.173587
tension	0.17071
concern	0.168447
resentment	0.16427
unease	0.163138
insecurity	0.15922
apprehension	0.157062
excitement	0.153737
uneasiness	0.153386
stress	0.152539
sadness	0.151885
pain	0.151157
optimism	0.148207
anguish	0.147173
pessimism	0.144642
discomfort	0.142658
jitters	0.142463
outrage	0.142076
emotion	0.141236
bitterness	0.141186
discontent	0.141152
disappointment	0.139393
grief	0.138999
Depression	0.135368
suspicion	0.131892
skepticism	0.131861
feeling	0.130131
despair	0.12986
angst	0.128835
paranoia	0.128339
Distress	0.128302
loneliness	0.125719
distrust	0.123985
fatigue	0.122689
mistrust	0.122286
euphoria	0.122094
sorrow	0.121233
instability	0.121178
doubt	0.120477
enthusiasm	0.119936
guilt	0.119561
hardship	0.118025
nausea	0.117992
dissatisfaction	0.117453
hysteria	0.116777
insomnia	0.116587
disillusionment	0.115507
cynicism	0.114829
alarm	0.114415
speculation	0.113997
desperation	0.113277
shock	0.112546
rage	0.11246
volatility	0.112304
trepidation	0.111636
ambivalence	0.111307
misery	0.111232
restlessness	0.110929
controversy	0.110723
apathy	0.110332
sentiment	0.109539
Exhaustion	0.109458
disquiet	0.108942
trauma	0.108736
headache	0.106882
dread	0.106876
indignation	0.106374
passion	0.10589
alienation	0.105875
turmoil	0.105333
desire	0.104962
hatred	0.104657
"memory loss"	0.104352
hostility	0.104277
regret	0.103236
perception	0.102802
weakness	0.10263
unrest	0.102133
chaos	0.102102
joy	0.101892
difficulty	0.101775
jealousy	0.101581
wariness	0.10106
boredom	0.101011
hunger	0.10099
self-doubt	0.100942
animosity	0.100747
expectation	0.10065
sense	0.100424
terror	0.100365
fever	0.100165
pride	0.0997855
embarrassment	0.0994394
misgiving	0.0989686
dismay	0.0988875
vulnerability	0.0984552
disorder	0.0983082
awareness	0.0982102
tiredness	0.0979156
suffering	0.0978219
skittishness	0.0971668
pressure	0.0967692
criticism	0.096552
irritation	0.0961945
disgust	0.0961634
misunderstanding	0.0958148
longing	0.0956069
hype	0.0950667
confidence	0.0950405
prejudice	0.0949742
problem	0.0943047
fury	0.0941357
consternation	0.0940238
agony	0.0938379
sympathy	0.093726
helplessness	0.093198
complacency	0.0925444
friction	0.0924096
gloom	0.0920646
shame	0.0919105
humiliation	0.0918906
violence	0.0918546
disbelief	0.0916791
symptom	0.0914661
satisfaction	0.0912485
dizziness	0.0910644
horror	0.090957
isolation	0.0902864
heartache	0.0898606
weariness	0.089679
curiosity	0.0896697
inconvenience	0.0896614
bewilderment	0.089197
poverty	0.0890456
nostalgia	0.088755
illness	0.0881365
impatience	0.0878704
malaise	0.0878424
woe	0.0878057
suspense	0.0873313
trouble	0.0871611
backlash	0.0870505
anticipation	0.0869271
antagonism	0.0867351
yearning	0.0859818
palpitation	0.0859205
upheaval	0.0857086
remorse	0.0856684
elation	0.0856488
caution	0.085539
sensitivity	0.085393
migraine	0.0850667
turbulence	0.0850168
exasperation	0.0847476
uproar	0.0846994
envy	0.0842304
rancor	0.0842038
contradiction	0.0837614
reaction	0.0837002
happiness	0.0834666
disruption	0.0834302
disorientation	0.0833794
disenchantment	0.083318
infection	0.0832973
hopelessness	0.0828744
hope	0.0826951
annoyance	0.0825531
acrimony	0.0825276
ignorance	0.0825036
allergy	0.0822561
"ill will"	0.0822411
rumor	0.0822181
dislocation	0.0819886
arthritis	0.0819509
schizophrenia	0.0815275
Alcoholism	0.0815051
agitation	0.0814539
hesitation	0.0814413
outcry	0.0813631
discord	0.0813001
reluctance	0.0809921
unhappiness	0.0809375
"back pain"	0.0808461
hallucination	0.0808242
shortage	0.0807746
crisis	0.0807442
urgency	0.0805654
ailment	0.0803933
dysfunction	0.0800568
irritability	0.0798558
complexity	0.0797613
danger	0.0797414
affection	0.0795761
))
("anxiety disorder" (desc 1578.37) (sims
"bipolar disorder"	0.27589
"manic depression"	0.20856
"personality disorder"	0.185588
epilepsy	0.173223
hyperactivity	0.172183
"mental disorder"	0.167259
schizophrenia	0.154175
dementia	0.15344
autism	0.150312
retardation	0.148445
disorder	0.13943
"kidney disease"	0.136074
Alcoholism	0.135448
dyslexia	0.132819
"mental illness"	0.126743
Osteoporosis	0.119471
"genetic disease"	0.116888
bulimia	0.115799
"Parkinson's disease"	0.114784
hypertension	0.113472
"skin disease"	0.111462
ailment	0.111278
"heart condition"	0.110688
"congestive heart failure"	0.11062
ADHD	0.110168
"heart disease"	0.10829
angina	0.107151
"eye disease"	0.106103
diabetes	0.105624
arthritis	0.105454
anemia	0.104934
"neurological disorder"	0.104471
"memory loss"	0.101301
"panic attack"	0.101231
lupus	0.10103
phobia	0.100799
"high blood pressure"	0.10021
"cardiovascular disease"	0.0967618
"neurological disease"	0.0963895
asthma	0.0959579
Psychosis	0.0954224
"rheumatoid arthritis"	0.0923969
insomnia	0.0922874
disability	0.0892468
syndrome	0.0881654
"substance abuse"	0.0875491
infertility	0.0859853
emphysema	0.0858209
Alzheimer	0.0855114
"cystic fibrosis"	0.0854009
"multiple sclerosis"	0.0852988
deformity	0.0846891
"muscular dystrophy"	0.0843695
hemophilia	0.0842584
"alcohol abuse"	0.0820148
dysfunction	0.0793475
ulcer	0.0790486
malady	0.0770612
Addiction	0.0763155
"respiratory disease"	0.0759827
malformation	0.0750132
"drug addiction"	0.0742319
"cerebral palsy"	0.0742139
abnormality	0.0738464
"back pain"	0.0737724
disorientation	0.0737689
thyroid	0.0726282
als	0.0717712
anorexia	0.0714276
pneumonia	0.0709845
Parkinson's	0.070864
"heart failure"	0.0708057
hepatitis	0.070609
"skin rash"	0.0700022
"lung cancer"	0.0697936
allergy	0.0695275
moodiness	0.0692085
irritability	0.0689027
bronchitis	0.0665705
"Lyme disease"	0.066238
abscess	0.066033
leukemia	0.0657234
impairment	0.065656
"morning sickness"	0.0655193
"skin cancer"	0.0655143
"upset stomach"	0.0651884
"risk factor"	0.064698
miscarriage	0.0643067
"achilles tendon"	0.060255
glaucoma	0.0601822
stomachache	0.0598157
cholesterol	0.0596808
deviant	0.0595703
Obesity	0.0594789
frostbite	0.0594646
arrhythmia	0.0594302
"sweet tooth"	0.0591896
tiredness	0.0590744
homelessness	0.0588432
trachoma	0.0565228
apnea	0.0564437
"hot flash"	0.0563447
"strong belief"	0.0563166
malignancy	0.0561216
delusion	0.0561132
"colon cancer"	0.0558108
aneurysm	0.0557545
BMI	0.0557349
bifida	0.0556414
heartbeat	0.055353
psoriasis	0.0545146
quadriceps	0.0545015
"rib cage"	0.0544275
narcolepsy	0.0544032
cataract	0.0540212
"chest pain"	0.0538774
jaundice	0.0535727
reflux	0.053195
dehydration	0.0520893
self-doubt	0.0520249
inflammation	0.0519444
impotence	0.0513416
affliction	0.0512479
melanoma	0.0511393
encephalopathy	0.0511387
palpitation	0.0511086
sickness	0.0508729
diarrhea	0.0508388
migraine	0.0508363
"last name"	0.0507894
fibrillation	0.0504704
"sore throat"	0.0504016
"kidney stone"	0.0503465
"mental ability"	0.0502219
tendinitis	0.0493394
eyesight	0.0492301
morals	0.0489434
inaccessibility	0.0485135
Lice	0.0484595
osteoarthritis	0.0481031
nausea	0.0479903
Burnout	0.047458
"malignant tumor"	0.0473961
hernia	0.0470756
"infectious disease"	0.0470406
life-threatening	0.0469567
Pearce	0.0469013
Meningitis	0.0466559
"hepatitis B"	0.0464959
"asthma attack"	0.0464205
"West Nile"	0.0455457
"entitlement program"	0.0454994
anesthetic	0.045002
foul-up	0.0449968
"credit history"	0.0448404
lesion	0.0447351
"brain tumor"	0.0446699
"order form"	0.0445113
Dengue	0.0441789
lymphoma	0.0439823
hopelessness	0.0438181
self-loathing	0.0433567
dislocation	0.0433111
atherosclerosis	0.0432514
angioplasty	0.0431485
typhoid	0.0431047
hospitalization	0.0430911
dizziness	0.043046
"vested interest"	0.0427192
"gross income"	0.0426287
hairline	0.0425111
Twenty-seven	0.0422017
"transfer payment"	0.0421105
"sexually transmitted disease"	0.0420537
EKG	0.0419672
flexor	0.0417133
"liver disease"	0.0416443
acne	0.0416118
Ostracism	0.0415996
"tooth decay"	0.0415171
cryptosporidium	0.0413871
accoutrement	0.0413323
incapacity	0.0413084
graciousness	0.0407345
"stage fright"	0.040454
gonorrhea	0.0404111
))
(any (desc 154705) (sims
some	0.132879
anyone	0.119656
anything	0.115781
all	0.114112
most	0.109307
none	0.106799
many	0.105652
one	0.103201
that	0.10231
lot	0.0990502
anybody	0.0972889
kind	0.0948967
it	0.0935868
either	0.0933355
this	0.0933079
those	0.091265
number	0.0905843
two	0.0847217
much	0.084203
several	0.0829754
thing	0.0792349
rest	0.0791438
each	0.0791327
Three	0.0784468
action	0.078273
something	0.0779839
both	0.0771254
case	0.077099
list	0.0768715
people	0.0765214
them	0.0760436
someone	0.0757692
idea	0.0748516
more	0.0747817
type	0.0747777
no	0.0746276
dozen	0.0746265
change	0.0744504
life	0.0744005
sort	0.0741714
part	0.0740805
matter	0.0738704
team	0.0734736
everything	0.0731925
others	0.0725584
result	0.0719619
everyone	0.071953
nothing	0.0719389
these	0.0716808
plan	0.0716086
enough	0.0710782
use	0.0704207
issue	0.0701876
handful	0.0701795
specific	0.0700629
you	0.0699107
fact	0.0695369
person	0.0694849
behavior	0.0693666
aspect	0.0691574
"a few"	0.0690929
variety	0.068802
him	0.0684364
name	0.0683388
proposal	0.0682471
system	0.0681012
group	0.068084
hundred	0.0680713
policy	0.067978
detail	0.0672386
question	0.0672007
four	0.0670015
act	0.0669116
player	0.0668771
right	0.066755
Five	0.0666807
need	0.0665377
problem	0.0664836
"whole lot"	0.0663707
possibility	0.0663173
deal	0.0663006
guy	0.0662571
evidence	0.0662377
ones	0.0661629
content	0.0661091
me	0.0660064
activity	0.0659941
violation	0.0658784
couple	0.0655684
what	0.0654236
offense	0.0654144
version	0.0653842
program	0.0653101
everybody	0.0652315
Clinton	0.0652291
us	0.0652119
situation	0.065153
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man	0.0644965
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doing	0.0643079
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Six	0.0639417
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American	0.0634703
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half	0.0620805
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strategy	0.061773
stuff	0.0616857
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sale	0.0614944
time	0.0614778
bill	0.0614638
report	0.0613898
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Bush	0.0612904
gore	0.0612891
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legislation	0.059587
practice	0.0595636
concept	0.0594923
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candidate	0.0593611
kid	0.0592282
attack	0.0592031
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development	0.059153
best	0.0591529
history	0.0589259
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point	0.0588834
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size	0.0587767
few	0.0586901
child	0.0586842
information	0.0586794
effort	0.058669
term	0.0584866
President	0.058421
notion	0.0583788
quality	0.0582839
allegation	0.058238
seven	0.0581861
trial	0.0581778
bit	0.0580748
discussion	0.0579159
side	0.0579011
somebody	0.0578968
condition	0.0578892
law	0.0578763
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million	0.0577855
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future	0.0575764
score	0.0575662
experience	0.0575478
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everybody	0.192613
somebody	0.180181
everyone	0.172149
"no one"	0.165307
someone	0.163772
nobody	0.154205
guy	0.13999
people	0.13022
me	0.126413
you	0.121321
him	0.117316
person	0.1149
them	0.113912
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us	0.112843
player	0.1067
others	0.100943
those	0.0993531
any	0.0972889
man	0.0969087
anything	0.0966411
folk	0.0966043
her	0.0963528
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team	0.08931
American	0.0883918
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"each other"	0.087284
woman	0.0868284
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doctor	0.0788736
some	0.0784849
myself	0.0781609
Reader	0.0781183
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mom	0.0751544
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"one another"	0.0740094
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client	0.0719452
patient	0.0714224
I	0.0713144
boy	0.0712864
mother	0.0708123
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Republican	0.0704875
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yourself	0.070114
Bush	0.0700004
neighbor	0.0699133
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it	0.0694283
official	0.0692319
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Russian	0.0689275
ourselves	0.0683166
gore	0.0682997
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"young man"	0.0675106
thing	0.0674266
Clinton	0.0674153
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God	0.0662205
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something	0.0659148
worker	0.0648308
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rest	0.0638822
Yankee	0.0638784
himself	0.0637421
pitcher	0.0636335
competitor	0.063506
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couple	0.0628151
"human being"	0.0627831
nothing	0.0627014
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stranger	0.0621277
"Al Gore"	0.0619352
dog	0.0619285
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constituent	0.0615676
senator	0.0614163
Bos	0.0613206
black	0.0612261
ones	0.0611617
Jew	0.0611298
President	0.0607627
reporter	0.0606509
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they	0.0601349
Israeli	0.0600476
writer	0.0599018
leader	0.0598355
he	0.059783
Democrat	0.0596982
Johnson	0.0596198
brother	0.0595125
media	0.0594743
Hillary	0.0594278
youngster	0.0593014
police	0.059255
stuff	0.0592331
boss	0.0592251
horse	0.0589991
minority	0.0589455
community	0.0587655
she	0.0587247
em	0.058577
umpire	0.0583838
enemy	0.0580362
wife	0.0579597
lawyer	0.0579323
actor	0.0577946
"family member"	0.0576806
retailer	0.0576763
themselves	0.0576758
advertiser	0.0574384
this	0.057388
McCain	0.0573649
African-American	0.0572081
peer	0.0571207
juror	0.0570338
nation	0.0569889
Microsoft	0.056832
scientist	0.0568166
"federal government"	0.0567285
mike	0.0566889
"third party"	0.0566414
quarterback	0.056566
lawmaker	0.0564698
criminal	0.0563603
judge	0.0563498
teen-ager	0.0563184
Cop	0.0562492
physician	0.0560982
"New Yorker"	0.0560708
"Bill Clinton"	0.0560254
prosecutor	0.0559262
agent	0.0558845
patriot	0.0558808
dodger	0.0557526
America	0.0555948
who	0.0552669
spouse	0.0552039
authority	0.0551979
Williams	0.0551708
golfer	0.0548359
"young woman"	0.0547847
homeowner	0.0546927
my	0.0546767
son	0.054578
soldier	0.0544606
hitter	0.0544374
regulator	0.0543587
staff	0.054347
defendant	0.0542794
professional	0.0542548
McGwire	0.0541332
Palestinian	0.0541148
crowd	0.054081
executive	0.0538205
critic	0.0537967
party	0.0534938
animal	0.0533554
"police officer"	0.0532385
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(anyone (desc 164987) (sims
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everyone	0.203205
someone	0.181552
people	0.180663
everybody	0.170038
"no one"	0.169549
those	0.15746
person	0.152436
somebody	0.139911
nobody	0.13988
others	0.139489
you	0.134688
me	0.132135
him	0.128728
individual	0.127515
man	0.126974
woman	0.12389
them	0.121888
kid	0.121338
guy	0.12129
player	0.120803
us	0.120682
any	0.119656
parent	0.119539
American	0.116851
child	0.113976
consumer	0.112614
student	0.112035
many	0.111695
fan	0.110971
citizen	0.109543
public	0.109153
Reader	0.108548
employee	0.105127
folk	0.104237
her	0.104188
patient	0.103576
customer	0.102523
adult	0.101345
some	0.100489
doctor	0.100107
athlete	0.0998217
politician	0.0996053
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anything	0.0982006
official	0.0981845
worker	0.0978662
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investor	0.0969273
friend	0.0964792
member	0.0962878
user	0.0956036
resident	0.0954399
foreigner	0.0953275
employer	0.0945858
Clinton	0.0945227
all	0.0936717
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driver	0.0924606
colleague	0.0919673
voter	0.0909008
client	0.0902596
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journalist	0.0901293
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criminal	0.0891206
scientist	0.0887763
outsider	0.0884449
team	0.0882824
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"each other"	0.0870015
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coach	0.0863781
company	0.0861525
teacher	0.0853201
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listener	0.0845698
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group	0.0817623
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boy	0.0799572
myself	0.0794881
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most	0.0785032
it	0.0783925
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one	0.0769602
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lot	0.0764257
agent	0.0762935
"one another"	0.0761967
inmate	0.0758341
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that	0.0753702
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himself	0.0750239
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they	0.0744898
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Israeli	0.074308
motorist	0.0740259
human	0.073892
country	0.0732663
media	0.0729549
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I	0.0726561
judge	0.0725884
minor	0.0725035
Jew	0.0722166
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writer	0.0720046
terrorist	0.0715723
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couple	0.0714451
Russian	0.0713212
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themselves	0.0708146
Palestinian	0.070756
Lewinsky	0.070515
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police	0.0700403
he	0.0699967
rest	0.0697437
retailer	0.0697382
staff	0.0697035
organization	0.0696934
juror	0.0696701
who	0.0694413
yourself	0.0692191
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youth	0.0690641
stranger	0.0689303
minority	0.0688755
co-worker	0.0688568
authority	0.0686045
son	0.0685662
she	0.0685203
physician	0.0685003
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we	0.068432
passenger	0.0683727
wife	0.0683571
agency	0.0681345
Microsoft	0.0677635
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immigrant	0.0677471
party	0.0676976
guest	0.0676835
ones	0.0676411
critic	0.0676182
competitor	0.0673732
prisoner	0.0673545
everything	0.0670418
civilian	0.0667176
ourselves	0.0666019
tourist	0.0665341
businessmen	0.0664556
Milosevic	0.0663315
Serbs	0.0662197
teens	0.0661055
advertiser	0.0660544
activist	0.0660536
society	0.0660388
supporter	0.0659425
enemy	0.0658352
veteran	0.0658258
Johnson	0.0658217
corporation	0.0656696
brother	0.0656616
"Bill Clinton"	0.0655406
taxpayer	0.0654334
personnel	0.0653426
spouse	0.0652509
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(anything (desc 187350) (sims
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something	0.166129
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that	0.11659
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ones	0.0733569
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him	0.0722348
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you	0.0714474
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time	0.0672133
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plan	0.0668176
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offense	0.0659618
these	0.0659153
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need	0.0650052
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tragedy	0.0649997
"no one"	0.0647189
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development	0.0644176
film	0.0644118
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answer	0.0635669
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man	0.0629969
character	0.0629927
person	0.0629233
process	0.0629119
quality	0.0628167
baseball	0.0627632
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choice	0.0626234
future	0.0625853
"tax cut"	0.0625616
part	0.0624604
others	0.062056
piece	0.0619818
bad	0.0619785
possibility	0.0619567
subject	0.0619202
reaction	0.0616493
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lesson	0.0613838
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us	0.0612774
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risk	0.0611441
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factor	0.0609407
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content	0.060388
point	0.0603005
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"each other"	0.0601871
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difference	0.0601652
history	0.0601537
gun	0.0600014
benefit	0.05998
none	0.0599457
world	0.0599445
bill	0.0598596
myself	0.0597933
Song	0.0597598
attempt	0.0596448
document	0.0596224
suggestion	0.0596117
lie	0.05956
race	0.0595515
position	0.0594369
fight	0.0593667
law	0.0592331
war	0.0591728
talk	0.0591606
religion	0.0590711
nobody	0.0589394
))
(anything-goes (desc 1226.02) (sims
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take-no-prisoners	0.131675
Bobo	0.107271
collaborative	0.102781
Aggie	0.094786
late-'@@s	0.0913142
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yuletide	0.0681256
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indie	0.0660349
pro-business	0.0647843
Aloha	0.0645144
contrarian	0.0643193
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revisionist	0.0637347
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Hasidic	0.0597331
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Gotham	0.0593286
counterculture	0.0592868
nurturing	0.0588063
gotcha	0.0581747
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high-stakes	0.0542972
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JACK's	0.0511302
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proactive	0.0466498
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deadend	0.0465554
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eleventh-hour	0.0457131
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Anglo	0.0453397
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Makah	0.0452081
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Irish-American	0.0448406
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fairytale	0.0445789
protectionist	0.0439806
O'Neill's	0.0438498
minimalist	0.0437624
"Southern Baptist"	0.0434007
"Norman Rockwell"	0.0422823
transformative	0.0419986
"South Beach"	0.0418018
vanishing	0.0413288
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cliffhanger	0.0409522
improv	0.0409313
"kitchen sink"	0.0409067
geezer	0.0408292
"Sun City"	0.0406816
colorblind	0.0402517
"ivory tower"	0.040096
))
(anytime (desc 15694.7) (sims
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til	0.0527754
nowadays	0.0492872
doe	0.0460798
"one time"	0.0440087
"Thank God"	0.0439826
Nn	0.043828
"END ITAL"	0.043185
outdoors	0.0419609
fella	0.0418345
one-on-one	0.0410439
"about @:@@"	0.0403285
em	0.0400686
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there	0.11358
now	0.106611
"right here"	0.102613
"from @@@@ to @@@@"	0.0965807
"two years ago"	0.0939763
"three years ago"	0.0889532
"years ago"	0.0882328
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today	0.084928
"four years ago"	0.0847001
"a few years ago"	0.0830598
tonight	0.0808221
"five years ago"	0.0761966
yesterday	0.0760768
"last week"	0.0723361
"two weeks ago"	0.072166
"four times"	0.0720372
"one day"	0.0706168
tomorrow	0.0687919
"Five times"	0.0687573
"year ago"	0.0685265
"a few weeks ago"	0.0656663
"seasons ago"	0.0652815
"decade ago"	0.0643735
"six years ago"	0.0638101
"a few hours"	0.0631424
"over five years"	0.0630318
"three months ago"	0.062994
"from @@@@-@@@@"	0.0625067
"more than @@ times"	0.0620505
"about @@ years ago"	0.0616191
"one year ago"	0.0609042
"a few months ago"	0.0607589
"time ago"	0.0595157
"five minutes"	0.0589338
"eight years ago"	0.0588823
"up to six months"	0.0587562
"nine times"	0.05866
"two months ago"	0.05853
Thursday	0.0584219
"one week"	0.0577691
"a few years"	0.0576967
"decades ago"	0.0575944
Wednesday	0.0572679
"six times"	0.057049
"seven times"	0.0569195
Monday	0.0568208
night	0.0567113
minute	0.0564607
"over three years"	0.0563597
"over @@ years"	0.0562691
"months ago"	0.056107
"six months ago"	0.0560591
"seven years ago"	0.0560447
"about @@ times"	0.0555605
"month ago"	0.0555105
morning	0.0549906
"two decades ago"	0.0548429
"Ten years ago"	0.0546923
"four years"	0.0543709
"over two years"	0.0542002
Tuesday	0.0541673
Friday	0.0539202
hour	0.0537299
"a few days"	0.0536098
Sunday	0.0534489
"about @@ minutes"	0.0531679
"three days"	0.0527821
"one night"	0.0527663
"a few minutes"	0.0525917
"three weeks ago"	0.052331
"two days"	0.0518692
"three years"	0.0514905
"more than @@ years ago"	0.0514111
afternoon	0.0512203
"eight times"	0.0502861
Saturday	0.0497404
Evening	0.0497009
"about three hours"	0.0496102
"two times"	0.0495404
"week ago"	0.0491657
Jun	0.049149
"four months"	0.0491046
mornings	0.0486873
anybody	0.0484132
"about two months"	0.0480864
"three hours"	0.0479593
"two hours"	0.0479029
summer	0.0477956
nights	0.0477897
"five years"	0.0477142
"six years"	0.0476333
"about @@ hours"	0.0476011
"five days"	0.0475624
"nine days"	0.0472751
"two years"	0.0469215
"nine years ago"	0.0468673
"one year"	0.0464773
"eight years"	0.046034
"four hours"	0.0460317
"six days"	0.0460177
"four days"	0.0454738
"three weeks"	0.0450529
"eight days"	0.0450412
"more than @@ minutes"	0.0446766
"eight hours"	0.0445834
"about two hours"	0.0444058
"seven years"	0.0443906
evenings	0.0440482
"two months"	0.0439622
"four weeks"	0.0437772
"two minutes"	0.0436642
"more than two hours"	0.0435765
"seven days"	0.0433945
"nearly @@ years ago"	0.0433134
"six months"	0.0431661
"a few weeks"	0.043156
Summers	0.0427682
decade	0.0424947
"six hours"	0.0424165
"nine years"	0.0424063
"a few days ago"	0.0416011
nowhere	0.0413334
"about two weeks"	0.0412026
"eight months"	0.0407226
"two nights"	0.0404998
"a few months"	0.0404147
"one hour"	0.0402665
))
(ANZ (desc 6096.71) (sims
Westpac	0.587386
"Commonwealth Bank"	0.491853
"National Australia Bank"	0.479811
"Rio Tinto"	0.423399
"Commonwealth Bank of Australia"	0.412677
BHP	0.325096
WMC	0.302927
NAB	0.275874
"News Corp"	0.200913
"preferred shares"	0.197039
"Carter Holt Harvey"	0.192524
"Wireless Optus"	0.184332
"Industrial Index"	0.180217
"Straits Times Index"	0.173786
commonwealth	0.168032
"Emas Index"	0.164075
"Second Board Index"	0.163833
"Brierley Investment"	0.16249
"Xetra Dax"	0.161477
"Nikkei Stock Average"	0.158162
CBA	0.155708
"CAC @@"	0.155015
"Fletcher Energy"	0.154973
Telstra	0.154582
AMP	0.151599
SPH	0.14803
sub-index	0.141784
"FTSE @@@"	0.136556
"Lion Nathan"	0.133973
"Tokyo Stock Price Index"	0.13223
"Air New Zealand"	0.129925
"GE Life"	0.129796
"Straits Times Industrials Index"	0.125508
"Philippine Stock Exchange Index"	0.125101
"Composite Index"	0.121801
"Fletcher Paper"	0.119776
Nikkei	0.115557
sharemarket	0.113011
CRA	0.112908
"pork belly"	0.112146
"bond price"	0.108362
"Hang Seng Index"	0.107594
"Auckland Airport"	0.107331
"Creative @@"	0.106476
"Fletcher Building"	0.106312
"eight cents"	0.105319
"Weighted Price Index"	0.104818
Telecom	0.103302
FT-SE	0.102943
scrip	0.102817
"City Development"	0.102678
CAC-@@	0.101752
"SPH @@@"	0.101022
"Fletcher Forest"	0.100783
Woodside	0.0995408
"Hang Seng"	0.0992619
"Dow Jones Industrial Average"	0.0958844
STI	0.0949077
DAX	0.0947584
industrials	0.0921749
CAC	0.088555
warrant@@	0.0882266
"one cent"	0.0880604
Schlumberger	0.08661
Barclays	0.0864717
"Hang Seng China Enterprises Index"	0.0857081
PacCent	0.0850465
"five cents"	0.0849345
"Hang Seng China-Affiliated Corporations Index"	0.0847808
HSI	0.0844815
"futures price"	0.0834634
"Brierley Investments"	0.0827867
HSBC	0.0815943
Sensex	0.0813638
db	0.0801584
w@@	0.0800513
bramble	0.0797596
"Exxon Mobil"	0.0791445
"Singapore Press Holdings"	0.0783221
fineness	0.077794
"ordinary shares"	0.0777027
"Australian dollar"	0.0772029
"Philippine peso"	0.0766256
SIA	0.0762185
"bank rate"	0.0749544
Bovespa	0.0746918
"Chase Manhattan"	0.0740445
UOB	0.0738042
"HSBC Holdings"	0.0721842
"earning per share"	0.0718824
Composite	0.0715687
"JDS Uniphase"	0.0710643
OCBC	0.0709279
"Contact Energy"	0.0708569
"retail price index"	0.0683961
"Bovespa Index"	0.0678444
bullion	0.0677318
"Hang Seng Bank"	0.0676353
"truck sale"	0.067612
"market average"	0.0667899
"Sensitive Index"	0.0665333
soybean	0.0662227
"J.P. Morgan"	0.0650694
Stocks	0.0650254
"blue chip"	0.0638472
"Sky TV"	0.063779
Dow	0.0632354
"Kenyan shilling"	0.0621416
SunTrust	0.0615932
"Shanghai Composite Index"	0.0615496
Deutsche	0.0614753
Dresdner	0.0610214
sub-indices	0.0608019
"blue-chip stock"	0.0600986
"Fletcher Forests"	0.0599918
"Stock Exchange of Thailand"	0.0598769
FTSE	0.05984
"New Zealand dollar"	0.0595785
"Hutchison Whampoa"	0.0592624
"Advanced Micro"	0.0591272
"Royal Bank of Scotland"	0.0584627
"Hong Kong Telecom"	0.0581088
"NASDAQ Composite Index"	0.0579545
Qualcomm	0.0578514
"News Corp."	0.0578222
"F&AMP;N"	0.057572
f	0.0572403
UAL	0.0569611
BSE-@@@	0.0565974
Nasdaq	0.0563312
ABSA	0.0557904
"gasoline tax"	0.0556471
Biogen	0.0556097
"Treasury bond"	0.055308
oat	0.0552785
TELLABS	0.0551308
"two cents"	0.0548147
Grosjean	0.0547662
"American Express"	0.0546202
Halliburton	0.0544949
"S&AMP;P"	0.0542897
"funds rate"	0.054171
NatWest	0.0541581
"Societe Generale"	0.0540148
SDB	0.0540049
PLDT	0.053576
RAMBUS	0.0535534
Bourse	0.0531868
"gas price"	0.0531655
"mortgage rate"	0.0529812
LTCB	0.0529484
"Canadian dollar"	0.0526764
Gilead	0.0521021
CCB	0.0520823
BankAmerica	0.0517213
Menatep	0.0515406
Totalfina	0.051304
VENATOR	0.0510572
Nicol	0.0505393
SingTel	0.0501818
"Wells Fargo"	0.0501243
Orders	0.0500307
BOC	0.0499282
blue-chips	0.0495819
"net income"	0.0494155
"Eli Lilly"	0.0493495
"Dell Computer"	0.0489688
"Pacific Century"	0.0488914
Alcoa	0.0487975
IPC	0.0485158
Eximbank	0.0484187
Sumitomo	0.048124
"Johnson &AMP; Johnson"	0.0479472
rupiah	0.047882
UBS	0.0475445
"water table"	0.0474076
CMG	0.0473908
rand	0.0473534
STOXX	0.0472896
MidCap	0.0472804
Honeywell	0.04723
"home sale"	0.0472299
"Cisco Systems"	0.0471817
YPF	0.0470174
Merck	0.0470093
"First Union"	0.0465202
Terra	0.0464476
ICBC	0.0463433
Weyerhaeuser	0.0460606
"vehicle sale"	0.0460236
"producer price"	0.0459484
"marketing cost"	0.0458088
Aegon	0.0456421
"consumer price index"	0.0456352
"Development Bank of Singapore"	0.0455088
"Karachi Stock Exchange"	0.0454793
barometer	0.0452788
"Washington Mutual"	0.0452373
palladium	0.0452289
EMC	0.0451364
))
(AOC (desc 778.616) (sims
ITTF	0.160964
CAA	0.153963
RIAA	0.150217
SSB	0.148384
TDB	0.146184
CPAFFC	0.145609
OCA	0.1399
WEF	0.117521
DLC	0.112568
NORTHROP	0.112454
CNOOC	0.111812
"U.S. Soccer Federation"	0.111721
USTA	0.111293
Kimbell	0.110394
"Defense Agency"	0.109696
"Labor office"	0.108391
EOHR	0.10749
ITF	0.107187
Starwood	0.106349
PBA	0.104951
BLM	0.104765
EBRD	0.104687
ACLU	0.103729
ISU	0.103678
CBI	0.10339
USGA	0.103243
MLB	0.103075
NARAL	0.102548
BSA	0.102406
UC	0.102376
NHTSA	0.102
IEC	0.101725
AFA	0.101235
COSATU	0.0988079
Generali	0.0986167
"EU Commission"	0.0974868
NCI	0.0974456
Gilead	0.0974088
UNIDO	0.0964865
UGA	0.0958766
CSE	0.0955457
"Health and Welfare Ministry"	0.0955095
NHRA	0.0954842
CSC	0.0951213
SFA	0.0950931
ICA	0.0946738
"Advanced Micro"	0.093378
"US State Department"	0.093092
"U.S. Agriculture Department"	0.0930711
USATF	0.0927922
NRC	0.0927429
HHS	0.0916917
Ahold	0.0911799
"Transport Ministry"	0.09103
"Salt Lake Organizing Committee"	0.0906212
Tat	0.090354
AHP	0.0903271
CWA	0.0900393
NCR	0.0899098
Shayler	0.0898964
"Pacific Century"	0.0898481
ITC	0.0897925
USOC	0.0897073
IAI	0.089597
Nepa	0.0892444
Toysmart	0.088902
USAID	0.0888668
Massport	0.0884276
CCPIT	0.0884202
RCMP	0.087873
NLRB	0.0877948
PECC	0.0877435
PNP	0.0876958
"Business Council"	0.08756
PSE	0.0870871
Lucasfilm	0.0869825
SLOC	0.0868934
JAL	0.0868045
DEP	0.0867208
CCF	0.0866835
CBO	0.0865431
"New York Civil Liberties Union"	0.0865185
JetBlue	0.086507
HCFA	0.0862986
ATC	0.0862123
Caldera	0.0861852
"Truth Commission"	0.08616
PictureTel	0.0858581
"Wine Institute"	0.0850981
ExciteAtHome	0.0847635
SAA	0.0846425
Yazdi	0.0844896
IMS	0.0842863
GAAF	0.0842295
CCA	0.0840838
UMNO	0.0838864
"CBS Sports"	0.0837286
UAM	0.0837215
ACOG	0.0837166
SDB	0.0836571
TDC	0.083646
"ABC Sports"	0.0835446
DP	0.0832606
"Russian Space Agency"	0.083226
Rudman	0.0829947
SEPA	0.0825434
AMF	0.0824987
ZCTU	0.0823943
SPC	0.0821236
BCE	0.0820223
Aegon	0.0819807
"Association of Flight Attendants"	0.0814615
OSHA	0.0814113
Sutter	0.0813083
"U.S. Golf Association"	0.0811289
IFC	0.0810303
Glaxo	0.0808256
"planning board"	0.0806724
ADL	0.0803518
CMA	0.0800612
"Interior Department"	0.0797708
EC	0.079594
"State Farm"	0.0793289
MACROMEDIA	0.0792852
FEMA	0.0790535
Icahn	0.0789343
Celera	0.0786382
C-USA	0.078582
UNC	0.0783422
CDB	0.078264
Simons	0.0779837
"Consumers Union"	0.0777519
Broderbund	0.0776751
"Fish and Wildlife Service"	0.0775478
AHA	0.0774925
DFB	0.0772005
CNPC	0.0771879
CSA	0.0770006
ENTREMED	0.0768122
Loewen	0.0766312
"Media Partners"	0.0766114
DFG	0.0761001
BOI	0.0759757
"De Klerk"	0.0758749
Genzyme	0.0757871
FTC	0.075668
"City Opera"	0.0756563
Zapata	0.0755803
ATA	0.0754376
Sinopec	0.0753693
Botswanan	0.0750655
Lockyer	0.0750522
SBA	0.0747452
Nomura	0.074581
ZCCM	0.0742436
EarthLink	0.0741315
ama	0.0739388
"Turner Sports"	0.0739386
"U.S. government"	0.0739086
NTSB	0.0738377
"Australian Olympic Committee"	0.0736001
McGraw-Hill	0.0734594
"Royal National Theater"	0.0734312
Galvin	0.0733389
Clare	0.0733059
Lockwood	0.0732602
BNFL	0.0732366
Nabisco	0.0729419
Pemex	0.0728431
Pertamina	0.0727404
INC	0.0726436
Patten	0.0725687
Embraer	0.0723035
CAAC	0.0722705
Humana	0.0722479
Cathay	0.0722082
Boehner	0.0721404
"U.S. Treasury Department"	0.0720741
PDVSA	0.0719821
"Education Department"	0.0718066
"Los Angeles Daily News"	0.0717962
CBK	0.0717828
PUC	0.0717645
"Players Association"	0.071708
HKFA	0.0711798
NSA	0.0708583
ENTERGY	0.0707747
IEA	0.0707415
ILGO	0.0706996
CITIC	0.0706012
ARATS	0.0705088
frist	0.0704719
HKTA	0.0704622
Geron	0.0702872
"U.S. Census Bureau"	0.0702191
Ringling	0.0701253
Corel	0.0700395
"Dow Corning"	0.0700196
CCB	0.0698446
Rwandese	0.0694951
))
(Aoki (desc 1167.59) (sims
Rodionov	0.134652
Prewitt	0.130634
Venables	0.129384
Schmitt	0.129135
Bulatovic	0.128375
Yastrzhembsky	0.126057
Tarawneh	0.123943
Nasrallah	0.123409
Lari	0.122003
Rossotti	0.120468
Severino	0.119194
Kasyanov	0.117341
Seizinger	0.11687
Meissnitzer	0.113655
Dougherty	0.112026
Maslyukov	0.111505
Ruehe	0.110252
"Lee Hsien Loong"	0.10915
Eizenstat	0.109067
Neeman	0.108682
Harmoko	0.107856
Zadornov	0.107644
Sheehan	0.106438
Velayati	0.105615
Arens	0.104191
Sato	0.103048
Mowlam	0.102355
Demaci	0.10201
Kajiyama	0.101829
Iger	0.101637
Singson	0.101489
McGuinness	0.100758
"Lasse Kjus"	0.100649
Talebi	0.0999799
Okada	0.0999411
"Isolde Kostner"	0.0993536
Advani	0.0984463
Yazdi	0.0979296
Masire	0.0978398
Hodler	0.0976958
Troussier	0.0975972
Fleisher	0.0970812
Kornberg	0.0968293
Maharaj	0.0965778
Hoss	0.0962353
Hybl	0.0962197
Ashrawi	0.0961361
"Daim Zainuddin"	0.0957876
Napolitano	0.0955071
Nasrin	0.0950218
Erving	0.0950164
Mikhailov	0.0949937
Gowda	0.0949799
Guterres	0.0949053
Hwang	0.0946144
Kesri	0.0945547
Flanagan	0.0945023
"Thomas Stangassinger"	0.0944281
Holl	0.0941677
Koehler	0.0940143
Boueiz	0.0939826
Wolfson	0.0938613
Blazevic	0.0936773
Akbar	0.0933004
Bhattarai	0.0931266
Doohan	0.0931047
Beilin	0.0928983
Kasoulides	0.0928473
Bolger	0.0927101
Ribbeck	0.0924041
Villalonga	0.0923913
"Kim Jong-pil"	0.091962
Aventajado	0.091926
Sassa	0.0919243
Orban	0.0918765
Cleese	0.0915997
Sahnoun	0.0914667
Malu	0.0912677
Manley	0.0911112
Ikeda	0.0907228
Musa	0.0903592
Myhrvold	0.0902734
Majko	0.0900481
Hersh	0.090046
Strauss-Kahn	0.0899164
"Pernilla Wiberg"	0.0898718
Fernandes	0.0894233
Moratinos	0.0893998
Soyinka	0.0893072
Mineta	0.0889837
Joklik	0.088946
Kulikov	0.0887975
"Martin Schmitt"	0.0884028
Mandelson	0.0880331
Yosef	0.0877953
Singh	0.0875194
Jia	0.0875128
Heinrichs	0.0872555
Alfonso	0.0872248
Longo	0.0871058
Levitt	0.0868025
McMullen	0.0867708
Tsang	0.0867449
Wilhelm	0.0865851
Badillo	0.0864387
Scharping	0.086415
Dodik	0.0863393
Fabius	0.0863056
Fraga	0.0862527
Buthelezi	0.0861632
Pippig	0.086055
Gardiner	0.0856564
Spyridon	0.0853566
Alatas	0.0852176
"Bill Skate"	0.0849363
Zarb	0.0847831
Wenger	0.084677
Azinger	0.0845441
Kalejs	0.0844487
Havelange	0.0843351
Faget	0.0836199
Zambrano	0.0834904
McCurry	0.0832298
Inman	0.0830512
Lampkin	0.0825182
Buzek	0.0824652
Brazile	0.0821027
Dobson	0.0819545
Chavalit	0.0819426
Baird	0.0819387
"Donna Shalala"	0.0819307
Jorgensen	0.0818207
Siazon	0.0816035
Aamodt	0.0816021
Ruggiero	0.0815818
"Mikhail Kasyanov"	0.0815589
Koirala	0.0813282
Lehane	0.0807881
Claes	0.0805627
Sergeyev	0.080558
Stephenson	0.0805539
Nemtsov	0.0805464
Berri	0.0805276
Gogel	0.0803635
Azad	0.0802538
"Stuart Eizenstat"	0.0801965
Kerik	0.0801265
Hurst	0.0800763
Idris	0.0797638
Carollo	0.0797491
Hamid	0.0796684
Tanui	0.0796448
Vialli	0.0795717
Hawke	0.079545
Barksdale	0.0795294
Zuma	0.0794974
Zou	0.0794772
"Al Fayed"	0.0792761
Elliot	0.0792306
Beazley	0.0789948
Meissner	0.0789577
Galvin	0.078917
Hariri	0.0788348
Rossi	0.0787204
Bambang	0.0785844
Rifkind	0.078561
Penders	0.0784521
Kang	0.0784108
Jayasinghe	0.0783592
Ebersol	0.078284
Ivester	0.0782577
"Martina Ertl"	0.0781493
Murayama	0.0780723
Grasso	0.0780217
"U.S. Defense Department"	0.0779556
Tseng	0.0779122
Blanton	0.0777704
Shamshad	0.077733
"De Klerk"	0.0776049
Ishihara	0.077501
"Adem Demaci"	0.0774732
Farah	0.0774569
Ertl	0.0773492
Grachev	0.07712
Cavanaugh	0.0770346
Slatkin	0.0770252
Yadav	0.0770235
Duisenberg	0.0769546
Naumann	0.0769166
"Igor Sergeyev"	0.0768392
Ballmer	0.0768341
Kushner	0.0765289
Jewell	0.0765198
Seleznyov	0.0764538
Waigel	0.0762877
Giordano	0.0762559
Jalabert	0.0761824
"George Robertson"	0.0760422
Loroupe	0.0760006
MIYAZAWA	0.0759206
))
(AOL (desc 55878.7) (sims
"America Online"	0.278589
EarthLink	0.175092
Netscape	0.174834
Yahoo	0.174774
MindSpring	0.170047
"America Online Inc."	0.162102
"Time Warner"	0.158886
Microsoft	0.158717
Lycos	0.157078
"MCI WorldCom"	0.156289
"Bell Atlantic"	0.156094
excite	0.155818
Compaq	0.149668
BellSouth	0.141309
IBM	0.140624
WorldCom	0.136894
Amazon.com	0.135041
CompuServe	0.131899
Cisco	0.130688
Intel	0.12857
Disney	0.127342
MCI	0.127165
Qwest	0.126198
GTE	0.122636
RealNetworks	0.120817
Mediaone	0.11997
Infoseek	0.119963
oracle	0.119833
MSN	0.119308
Vodafone	0.119147
SBC	0.119002
Viacom	0.118597
eBay	0.11788
ExciteAtHome	0.117381
Comcast	0.1173
"Deutsche Telekom"	0.114683
Exxon	0.112802
Dell	0.112451
Hewlett-Packard	0.112162
Motorola	0.110796
Lucent	0.110751
TCI	0.109942
Amazon	0.109033
"BP Amoco"	0.108972
Checkfree	0.107966
WebMD	0.107962
NetZero	0.107762
company	0.10772
CMGI	0.1077
Mattel	0.107166
Sony	0.106703
DirecTV	0.105845
Mannesmann	0.105812
"News Corp."	0.105753
Citigroup	0.105331
Boeing	0.104919
GeoCities	0.104779
"U S West"	0.104606
provider	0.104578
Seagram	0.104511
Nortel	0.104497
DoubleClick	0.104485
"Microsoft Network"	0.103565
"Walt Disney Co."	0.103476
t	0.10261
Healtheon	0.102494
ATHOME	0.102416
Monsanto	0.102405
Aetna	0.102317
"Global Crossing"	0.101802
Nextel	0.101668
McKesson	0.101508
Intuit	0.101438
"Sun Microsystems"	0.100194
Airtouch	0.0997605
DaimlerChrysler	0.0993534
"Microsoft Corp."	0.0991605
ETrade	0.0990445
HP	0.0988245
EMC	0.098666
Bertelsmann	0.0977855
sprint	0.0975302
ISP	0.0966433
AltaVista	0.0965961
Cablevision	0.096376
Coca-Cola	0.0962737
"Cox Communications"	0.0959111
MP@.com	0.0955804
"USA Networks"	0.0950593
browser	0.0949254
Wal-Mart	0.0948271
Priceline.com	0.0946174
"Pac Bell"	0.0944508
Novell	0.0939554
Dupont	0.0936926
TYCO	0.0934252
NIKE	0.0929994
Inktomi	0.0928959
Schwab	0.0925159
BankAmerica	0.0923975
Qualcomm	0.0914806
CNET	0.0913408
Kodak	0.0911643
RJR	0.0908694
Vivendi	0.0908532
"General Electric"	0.0906181
"Cisco Systems"	0.090531
Internet	0.090413
Pfizer	0.0902136
Hotmail	0.0900419
"Apple Computer"	0.0900092
"American Express"	0.0899788
Renault	0.0899743
Alcoa	0.0897671
Ge	0.0893094
"Philip Morris"	0.0892075
Norwest	0.0885974
SmithKline	0.0884069
"Ask Jeeves"	0.0880963
Portal	0.087695
Chrysler	0.0874204
Verizon	0.0873435
Warner-Lambert	0.0872964
AMR	0.0869885
GM	0.0867984
E-Trade	0.0866986
"Computer Associates"	0.086693
"Telecom Italia"	0.0855805
Raytheon	0.0855513
"Deutsche Bank"	0.0853484
"Home Depot"	0.0852797
"Tribune Co."	0.0851532
"Internet Explorer"	0.0847357
"P&AMP;G"	0.0847138
CBs	0.0846012
"American Home Products"	0.0845963
"France Telecom"	0.0845176
Ford	0.0845093
Priceline	0.0842416
Napster	0.0840756
firm	0.0839946
"Network Solutions"	0.0836812
Seagate	0.0836105
UAL	0.0834503
Lockheed	0.0833677
ARCO	0.0833052
Webvan	0.0829191
Hasbro	0.0829071
Xerox	0.0826072
Marketspan	0.0824313
NationsBank	0.082275
Akamai	0.0822556
SGI	0.0820763
airline	0.081953
BankBoston	0.0818726
"Silicon Graphics"	0.0818296
network	0.081533
Daimler	0.0807698
"Real Networks"	0.0806055
CNN	0.0804853
"US Airways"	0.0804759
"WorldCom Inc."	0.0802808
"Dell Computer"	0.0802675
NBC	0.0802531
Litton	0.0801918
Cendant	0.0800218
Telefonica	0.08002
Merrill	0.0800164
corporation	0.0799402
BofA	0.0796018
Daimler-Benz	0.0794311
"Procter &AMP; Gamble"	0.0793896
Ameritech	0.0793571
Mobil	0.0791984
Gillette	0.0791475
"Netscape Communications Corp."	0.0790869
fidelity	0.0790642
PEOPLESOFT	0.07905
Netcom	0.0786431
"America West"	0.0786279
"SBC Communications"	0.0784821
web	0.0784097
"Barnes &AMP; Noble"	0.0783857
CDnow	0.0781871
GANNETT	0.0778136
"Intel Corp."	0.0777586
Enron	0.0776061
Hearst	0.0775544
"JDS Uniphase"	0.077502
"Wells Fargo"	0.0774241
Broadcast.com	0.0773796
"Bankers Trust"	0.0772459
VoiceStream	0.077242
"Sprint PCS"	0.0771893
ESPN	0.0770792
"National Grid"	0.0770653
LVMH	0.0768886
Starbucks	0.0768546
"Dell Computer Corp."	0.0768169
Volvo	0.0767705
))
("AOL Time Warner" (desc 1976.5) (sims
Exxon-Mobil	0.204041
SkyTel	0.105248
Daimler-Chrysler	0.100518
"English Football Association"	0.0978178
"Hongkong Telecom"	0.0876941
McKesson	0.0876609
WorldCom	0.0874459
Emulex	0.0869162
BankAmerica	0.0868468
TCI	0.0866111
Norwest	0.0852984
NationsBank	0.0843222
"KCP&AMP;L"	0.0837795
"Pacific Century"	0.0835422
YankeeNets	0.0833739
"Exxon Mobil"	0.0827098
"Real Networks"	0.0822585
"Hong Kong Telecom"	0.0819166
NASD	0.0814577
"Royal Bank"	0.0811827
"British Telecom"	0.0809883
"MCI WorldCom"	0.0807379
Medtronic	0.0804005
Nextel	0.080346
DaimlerChrysler	0.0802745
Viacom	0.0801774
Comcast	0.0797915
"Times Co."	0.0797066
"BP Amoco"	0.0793926
EarthLink	0.0790186
"Thermo Electron"	0.0789046
CMGI	0.0787308
"Cadbury Schweppes"	0.0782184
"Global Crossing"	0.0767748
PLDT	0.0762751
BofA	0.0762336
CEC	0.0761442
Litton	0.0758273
Honeywell	0.0753655
GEC	0.0750955
Novell	0.0739194
"HBO &AMP; Co."	0.0738039
Vivendi	0.0735477
"Time Warner"	0.0734719
Nabisco	0.0734585
CSX	0.0732418
Healtheon/WebMD	0.0728522
"Sharper Image"	0.072751
"Deutsche Bank AG"	0.072588
Cadbury	0.0719136
Seagram	0.071617
"Sara Lee"	0.0712772
Cendant	0.0712585
Lilco	0.071212
Bertelsmann	0.0709123
MindSpring	0.0700908
Transamerica	0.0699636
Alcoa	0.0694881
"USA Networks"	0.069019
"Bell Atlantic"	0.0689941
"Conde Nast"	0.0688875
"Gap Inc."	0.0686527
BellSouth	0.0677424
"Boston Scientific"	0.0675849
"Y&AMP;R"	0.0675607
"Bear Stearns"	0.0675077
Citigroup	0.0674114
Pfizer	0.0668817
SmithKline	0.0667471
CCF	0.066499
Hasbro	0.0661016
Mediaone	0.0658269
SBC	0.0656999
"Berkshire Hathaway"	0.0656884
Comsat	0.0656824
oil-for-food	0.0653908
"aerospace giant"	0.0649218
Ingram	0.0648718
DLC	0.0647243
KPN	0.0646713
Marketspan	0.0645468
Unisys	0.0643382
TELLABS	0.0640816
GEF	0.0640165
"News Corp."	0.0638153
Telefonica	0.063677
"Fannie Mae"	0.0635873
Primedia	0.0632476
ExciteAtHome	0.0632285
Terra	0.0628829
Pepsico	0.0627372
Aetna	0.0627351
Verizon	0.0626958
"Network Associates"	0.0625959
IAI	0.0625672
AIG	0.0625009
"US Airways"	0.062377
Corel	0.0623581
RJR	0.0622687
"Monsanto Co."	0.0622555
MetLife	0.0621187
"Dell Computer Corp."	0.0620197
CITIC	0.0619741
Geron	0.0619201
RealNetworks	0.0618225
Alcan	0.0617943
"Met Life"	0.061668
"William Morris"	0.0616342
"American Home Products"	0.0615973
Echostar	0.0615414
LIFFE	0.0614393
Anheuser-Busch	0.0612342
Unilever	0.0611251
ATHOME	0.0610292
Northpoint	0.0608914
"Canal Plus"	0.0605445
MCI	0.0604586
"Learning Co."	0.0604553
AltaVista	0.0602964
Barclays	0.0602081
"Microsoft Corp."	0.0599753
Mobil	0.0598892
"Aetna Inc."	0.0598467
Starwood	0.0597264
Instinet	0.0594633
"Hughes Electronics Corp."	0.0592447
Cablevision	0.0590617
"Cendant Corp."	0.0588558
GTE	0.0588049
"Singapore Airlines"	0.0587702
Viag	0.058739
STARMEDIA	0.0586599
"RJR Nabisco"	0.0585014
Exxon	0.0583807
Walesa	0.058171
Intuit	0.0581253
PRIMESTAR	0.0579008
"U S West"	0.0578366
China.com	0.0576831
Healtheon	0.0576544
NCR	0.0573784
"Sprint Corp."	0.0573634
E-LOAN	0.0572512
"Lucent Technologies"	0.0571443
CDnow	0.0569537
telemedicine	0.056935
Heinz	0.0567209
NiSource	0.0565908
Renault	0.0565615
Equifax	0.0564775
"Kenya Airways"	0.0562924
"Sprint PCS"	0.0562581
SPS	0.0562493
"international criminal court"	0.0560932
"Bank of America"	0.0559418
Lockheed	0.055922
"Times Mirror Co."	0.0558275
"US West"	0.0556865
cn	0.0556825
"Halliburton Co."	0.0556061
"BankAmerica Corp."	0.0554402
Paribas	0.0554317
MiniMed	0.0553297
GANNETT	0.0552257
"College Board"	0.0551921
WPP	0.0551795
Compaq	0.0551123
JetBlue	0.054873
Daimler-Benz	0.0548581
Sunbeam	0.0548387
"Sony Corp."	0.0548164
Daimler	0.0546008
"Stride Rite"	0.0544987
"Olympic Committee"	0.0544227
"MindSpring Enterprises"	0.0543122
Totalfina	0.0542665
"Levi Strauss &AMP; Co."	0.0540627
"U.S. Trust"	0.0540026
SDL	0.0539743
"Ma Bell"	0.0539042
"Gillette Co."	0.0538766
Webvan	0.0538419
"Delta Air Lines"	0.0537755
Pitney	0.0537576
"Apple Computer"	0.0536345
"Barnes &AMP; Noble"	0.0536005
"Charles Schwab &AMP; Co."	0.0535512
"Tribune Co."	0.0533559
"Con Ed"	0.0533213
Scientific-Atlanta	0.0532171
"Bank of Scotland"	0.0531835
UBS	0.0531279
BankBoston	0.0530739
COSCO	0.0529068
"Raytheon Co."	0.0528747
"Times Mirror"	0.0528722
Danka	0.0528242
Pixar	0.0527406
"GTE Corp."	0.0526877
NatWest	0.052655
))
(aol.com (desc 2282.37) (sims
"Microsoft Network"	0.11901
CNN.com	0.102025
com	0.0990253
Netcenter	0.097618
Buy.com	0.0878057
Hotmail	0.0765331
ETrade	0.0761167
GO.com	0.0746444
DrKoop.com	0.0707095
Barnesandnoble.com	0.0672496
ATHOME	0.0627246
Reel.com	0.0614807
CompuServe	0.0606249
MSN	0.0573296
Drugstore.com	0.0548045
Broadcast.com	0.0535607
emachines	0.0525933
"Raging Bull"	0.0525021
Monster.com	0.0513349
CDnow	0.0499707
Toysrus.com	0.048804
"Alta Vista"	0.046856
www	0.046691
eToys	0.046441
forwarding	0.0456266
pni.com	0.0449295
Conde	0.0445113
AltaVista	0.0440171
ICQ	0.0439332
http://www	0.04331
"key rate"	0.0425826
Kasparov	0.0417854
))
(aorta (desc 2885.24) (sims
"blood vessel"	0.141847
eardrum	0.140393
"gas line"	0.127632
artery	0.126537
"achilles tendon"	0.120392
"water main"	0.116586
uterus	0.107825
spleen	0.107266
aneurysm	0.0976592
Achilles	0.0952005
colon	0.088076
"spinal cord"	0.0855979
tendon	0.0840223
intestine	0.0830388
bladder	0.0817866
"coronary artery"	0.0815407
ACL	0.0792697
"vocal cord"	0.0779317
liver	0.0779165
lung	0.0763811
"water pipe"	0.0746789
"heart valve"	0.0732034
"vital organ"	0.0729744
appendix	0.0695406
"umbilical cord"	0.0646011
spine	0.0635466
ligament	0.0624008
"internal organ"	0.0617729
vein	0.0617586
kidney	0.0615681
eyelid	0.0589793
labrum	0.0587619
testicle	0.0569748
Zeb	0.0560695
hemorrhage	0.0560146
meniscus	0.0545326
retina	0.0544802
"car door"	0.0537188
sarcophagus	0.0536938
hippocampus	0.0535182
"power unit"	0.05351
pancreas	0.0517975
triceps	0.0509804
"power cable"	0.0504316
waistline	0.049638
"Highway @@"	0.049557
"Beijing-Kowloon Railway"	0.049361
"water line"	0.0490461
abdomen	0.0489681
placenta	0.048887
larynx	0.0476247
"liver disease"	0.0469432
DiCarlo	0.0469029
capillary	0.046724
limb	0.0465651
sheath	0.0463521
arrhythmia	0.0461065
levee	0.0457295
"heart muscle"	0.0455954
fascia	0.0452455
nave	0.0447712
"hydraulic system"	0.0440001
valve	0.0439766
"eye socket"	0.0431555
esophagus	0.0428778
vestibule	0.0425225
"blood clot"	0.0424076
chokehold	0.0423346
"colon cancer"	0.0423262
neuron	0.0413964
"respiratory disease"	0.0410861
duct	0.0409268
cartilage	0.0405258
biceps	0.0404621
"heart failure"	0.0402418
"oil pipeline"	0.0402011
torso	0.0401275
))
(aos (desc 1824.89) (sims
tsc	0.127487
MJ	0.117589
mj-kg	0.117227
cph	0.106416
hjf	0.104108
sms/ji	0.102497
TC	0.0912507
vi/gm	0.090978
SP	0.0904744
parf-ip	0.0890271
cb-parf	0.088906
djw	0.0879142
ad/adc	0.0848174
vi/ls	0.0803623
ad/ls	0.0776994
ad/gm	0.0771255
"Southern African Broadcasting Association"	0.0734868
ADC	0.0734461
ad/ji	0.071274
parf-dgs	0.069353
acw	0.0654283
"South African Press Association"	0.0631286
JH	0.0616911
sf	0.0602902
Ji	0.059484
Ren	0.0594512
CB	0.0586188
JAI	0.058334
Sowetan	0.0581409
"Business Day"	0.0574222
nw/gm	0.057013
Hurriyet	0.0539192
Antara	0.0534344
"Nihon Keizai"	0.0519958
GB	0.0506044
"Megawati Sukarnoputri"	0.0490604
"Statistics Canada"	0.0487921
"Iran News"	0.0487126
sms/gm	0.0475856
FD	0.0475056
SW	0.0466736
nw/ls	0.0457414
scl	0.0448488
"Radio Uganda"	0.0439072
"The New Vision"	0.0430647
Maj.-Gen.	0.0412762
))
(Aoshen (desc 1627.63) (sims
Bayi	0.37098
Pegasus	0.352276
Hongyuan	0.324763
"Guangdong Hongyuan"	0.248754
Jilin	0.218242
Jiangsu	0.195823
Zhejiang	0.187728
"Shanghai Sharks"	0.183852
"LA Lakers"	0.154451
panda	0.141739
"Shandong Flaming Bulls"	0.140538
Shandong	0.133525
Liaoning	0.128176
Guangdong	0.127151
Shenyang	0.120234
Jinan	0.118746
"Beijing Ducks"	0.116521
NANJING	0.100285
"LA Clippers"	0.0970312
PAOK	0.0963291
vanguard	0.0903508
All-stars	0.0897461
Supersonics	0.0873226
cyclone	0.0872041
Starzz	0.0863987
Vitoria	0.0847995
Shenhua	0.0795148
"Guangdong Tigers"	0.0792746
Karlsson	0.0777372
squirrel	0.0755918
"Jinan Taishan"	0.0739093
"DPR Korea"	0.07267
airforce	0.071387
Dosedel	0.0703545
Panathinaikos	0.0695216
"Partizan Belgrade"	0.0693123
"Hernan Gumy"	0.0659268
Limoges	0.0648574
Fenerbahce	0.0628612
"Jackson State"	0.0603863
Olimpia	0.0596435
"Slavia Prague"	0.0594035
"Wang Chen"	0.0574873
Olympiakos	0.0570136
"Guangzhou Apollo"	0.056991
Kirghizstan	0.0569689
bearcat	0.0567791
Estudiantes	0.056746
"Old Dominion"	0.0566621
Nicol	0.0565478
"Los Angeles Sparks"	0.0558313
Henan	0.0555675
FRA	0.0554728
Puerta	0.0553986
"New Caledonia"	0.0553307
Persson	0.0544493
Likhovtseva	0.0539804
Besiktas	0.0535168
Nacional	0.0532439
"Tatiana Panova"	0.0525608
"Trinidad and Tobago"	0.0523643
bobcat	0.0523143
Timberwolves	0.052223
Stolle	0.0521228
"Rainer Schuttler"	0.0514687
"Rashid Sidek"	0.051385
"Andrei Pavel"	0.0508913
Damm	0.0504386
Auxerre	0.0504129
"Bradford City"	0.0501613
"Schalke @@"	0.0501342
"Bafana Bafana"	0.0499939
"Chen Gang"	0.0499269
"Gong Ruina"	0.0497088
Hendrawan	0.0496134
Penarol	0.0490829
Bologna	0.0489557
"Dalian Wanda"	0.0486963
"Magdalena Maleeva"	0.0481427
"Galo Blanco"	0.0479655
"Kinder Bologna"	0.0479565
Sevilla	0.0478719
"Spartak Moscow"	0.0476464
"Netherlands Antilles"	0.0476057
"Albert Portas"	0.0474353
Hainiu	0.0471805
Samara	0.04703
"Olympiakos Piraeus"	0.0467952
"Renzo Furlan"	0.0467256
"Sichuan Quanxing"	0.0466925
Jansher	0.046655
Prinosil	0.0465262
"Ma Lin"	0.046113
"Anne Kremer"	0.046098
"Montana State"	0.0458713
"Adrian Voinea"	0.0458001
Boilermakers	0.045775
Bruguera	0.0457725
ESP	0.0454207
"Franco Squillari"	0.0453873
outshot	0.0451076
Sugiyama	0.0450947
"Sebastien Lareau"	0.0449309
"Richard Fromberg"	0.0447953
Salonika	0.0447236
"Filip Dewulf"	0.044658
"L.A Lakers"	0.0444314
"Kim Taek Soo"	0.0444265
kor	0.0440632
"Yang Ying"	0.0440591
"Qingdao Hainiu"	0.043984
"Christian Ruud"	0.0439124
"Alberto Costa"	0.0438633
Tarango	0.0437934
Jayhawks	0.0437369
"Arnaud Boetsch"	0.0436646
"Velez Sarsfield"	0.0436027
"Barbara Paulus"	0.0432331
Haarhuis	0.0429801
"Roger Federer"	0.0428881
"AEK Athens"	0.0428797
"Cook Islands"	0.0426299
MARKETWATCH	0.0425069
"Wang Shi-Ting"	0.0424759
"endowment fund"	0.0424686
"Dynamo Kiev"	0.0423798
"Chen Jing"	0.0420449
Av	0.0420054
Zamalek	0.0418613
Leverkusen	0.0417067
Ljubljana	0.0416843
"Carlos Costa"	0.0416072
"Colo Colo"	0.0416025
"Kim Clijsters"	0.041583
"Els Callens"	0.0415723
MSU	0.0414886
"Andrew Ilie"	0.041399
UAB	0.0412991
Benfica	0.0412322
Vacek	0.0412266
"Magui Serna"	0.0412219
"Julian Alonso"	0.0411691
"Western Samoa"	0.0410828
Habsudova	0.0410735
Tseng	0.0409735
Lobo	0.0409665
"Peter Rasmussen"	0.0409033
Lareau	0.040882
Schett	0.0407191
"Deportivo La Coruna"	0.0406593
Guan	0.0404972
Samsonov	0.0403502
Cruzeiro	0.0402278
"Li Fang"	0.0402226
"Paul Johnson"	0.0402048
"Nathalie Dechy"	0.0400547
"Karim Alami"	0.0400366
"FC Porto"	0.0400109
))
(AP (desc 63739.3) (sims
"Associated Press"	0.163732
Xinhua	0.13414
ADV	0.117719
Reuters	0.0832083
"Israel Radio"	0.0816579
AFP	0.0800302
"Washington Post"	0.0786586
"news agency"	0.0761435
newspaper	0.0752165
Newsweek	0.0748875
"New York Times"	0.0746761
Times	0.0727907
"Daily News"	0.0718978
"Agence France-Presse"	0.070015
IRNA	0.069746
BBC	0.0685045
"Cox Newspapers"	0.0676634
Haaretz	0.0676634
globe	0.0676255
"South African Press Association"	0.0655982
"USA TODAY"	0.0655857
"Los Angeles Times"	0.0652372
capital	0.065073
"Xinhua News Agency"	0.0645935
"Wall Street Journal"	0.063711
"Kuwait News Agency"	0.0630878
"Middle East News Agency"	0.0608789
"Arizona Republic"	0.0606737
photo	0.0605362
Itar-Tass	0.0602789
Interfax	0.0594324
"Boston Globe"	0.0586169
"Houston Chronicle"	0.0580511
hr	0.0580251
"Atlanta Journal-Constitution"	0.0578437
"state capital"	0.0571061
"Financial Times"	0.054711
CNN	0.0541004
Meanwhile	0.0535661
chronicle	0.0526677
"Chicago Tribune"	0.0524368
"news service"	0.0520373
"Kansas City Star"	0.0515402
"ABC News"	0.0496082
"CBS News"	0.049521
tribune	0.0491547
magazine	0.0489221
Ohio	0.0485488
Star-Telegram	0.0474654
"news media"	0.0472036
FBI	0.0468662
"television station"	0.0450933
bureau	0.0445017
"TV station"	0.0434501
"New York Post"	0.0431914
"wire service"	0.042501
"radio station"	0.0424541
media	0.0421475
"State Department"	0.0417997
"United Nations High Commissioner for Refugees"	0.0413719
journal	0.0411248
"World Bank"	0.0410858
))
(APA (desc 2019.7) (sims
Notimex	0.226505
MTI	0.20744
Antara	0.187692
WAM	0.182663
ATA	0.17947
RSS	0.177094
BS	0.173245
Lusa	0.171251
Ansa	0.168813
"Allied Pilots Association"	0.166045
"Agence France Presse"	0.164509
Tass	0.148068
"Business Times"	0.146111
IRNA	0.142306
Angop	0.14187
Jana	0.140204
"Straits Times"	0.13902
"United Press International"	0.135702
Kyodo	0.133583
"Moscow Times"	0.13297
Anatolia	0.132313
Petra	0.131504
Bernama	0.129833
AFP	0.128994
TT	0.126168
"Sydney Morning Herald"	0.125748
MENA	0.125678
Tanjug	0.12364
KPL	0.123456
Noticias	0.123426
"Indonesian Observer"	0.120849
CNA	0.120836
"Ghana News Agency"	0.119655
"Korean Central News Agency"	0.119587
"Saudi Press Agency"	0.117729
INA	0.117485
"El Pais"	0.114904
KUNA	0.113515
"Egyptian Middle East News Agency"	0.112319
"Kathmandu Post"	0.111849
"Kyodo News Service"	0.111648
SAPA	0.109426
"Tehran Times"	0.108453
"Kyodo News"	0.108004
"Egyptian Gazette"	0.107636
"U.S. Labor Department"	0.106208
PTI	0.105665
"New Straits Times"	0.105149
"Asahi Shimbun"	0.104321
"Zambia News Agency"	0.104265
Biggs	0.102554
ama	0.101384
"Nihon Keizai Shimbun"	0.100716
Sana	0.100714
"Der Spiegel"	0.0994384
"Southern African Broadcasting Association"	0.0989532
"Philippine News Agency"	0.0988938
Haaretz	0.0976434
"press agency"	0.0975654
"Screen Actors Guild"	0.0975276
"Australian Associated Press"	0.0971467
"Rwanda News Agency"	0.0965197
ITF	0.0962144
"Daily Times"	0.0954682
Allchin	0.0952222
"Dow Jones Newswires"	0.0952064
APP	0.0949788
"Cyprus News Agency"	0.0945495
NRC	0.0943763
beta	0.0943715
"Housing Authority"	0.0942648
CWA	0.0941132
"Zimbabwe News Agency"	0.093832
"Agence France-Presse"	0.0936839
"South China Morning Post"	0.0936333
"Kuwait News Agency"	0.0936289
"Thai News Agency"	0.0934817
"Macao Daily News"	0.0930515
"British Broadcasting Corporation"	0.0920452
"Kenya Times"	0.0919212
ABA	0.0918391
Kyprianou	0.0914759
"Associated Press of Pakistan"	0.0913669
Gullikson	0.091199
Hurriyet	0.0911523
Spiegel	0.0910618
"PLO Executive Committee"	0.0906096
"Congressional Black Caucus"	0.090476
"Senate Republican"	0.0902417
Carollo	0.08998
"Vietnam News"	0.0892666
UPI	0.0889794
RNC	0.0889546
"Iraqi News Agency"	0.0889007
Vollebaek	0.0882903
UAW	0.0882117
"Jakarta Post"	0.0881721
"Jerusalem Post"	0.0880547
Aventajado	0.0880344
"Radio Uganda"	0.0879121
"Press Trust of India"	0.0878142
Reuters	0.0877784
Schuerholz	0.0877653
Sowetan	0.0871555
"Vietnam News Agency"	0.0870413
"El Mundo"	0.0869291
"House GOP"	0.0868933
Lamberth	0.0868742
"Business Weekly"	0.0868055
"planning board"	0.0863348
PAP	0.0862166
"Ethiopian News Agency"	0.0861902
"Post Express"	0.0861276
"Cincinnati Enquirer"	0.0860853
"Athens News Agency"	0.0858484
"News Agency of Nigeria"	0.0856278
Azizah	0.085086
"Israel Radio"	0.0847729
AFA	0.0846527
Constantinescu	0.0843396
"National Association of Realtors"	0.0842913
Malaya	0.084235
"Jerusalem Media and Communication Center"	0.0842194
dem	0.0840422
ADL	0.0838178
"Daily Star"	0.0837794
DLC	0.0837105
DFB	0.0833669
"Chronicle Publishing"	0.0832558
"Jordan Times"	0.0831484
"Los Angeles City Council"	0.0829177
Reforma	0.0829013
"Turkish Daily News"	0.0828943
CBC	0.0827801
Kommersant	0.0824853
MTA	0.0824063
Lancet	0.082211
"Al Hayat"	0.0819189
BSA	0.0817878
"New Vision"	0.081686
"Gulf News"	0.0810284
"Antara News Agency"	0.0806935
"American Medical Association"	0.0805919
ABS-CBN	0.0805785
"Information Center"	0.0804749
"American Bar Association"	0.0804051
"Zambia Daily Mail"	0.080341
"Islamic Republic News Agency"	0.0801791
Nasrallah	0.0800662
Interfax	0.0800377
"Board of Supervisors"	0.0798344
Caddell	0.0796674
Moakley	0.0796637
NHK	0.0795106
Itar-Tass	0.078605
"Financial Mail"	0.078552
Ota	0.078542
"Daily Mail"	0.0784891
Harmoko	0.0783845
Ikeda	0.0783208
OCA	0.0782962
"Xinhua News Agency"	0.0782654
CTV	0.0781541
CEC	0.0781193
"Beijing Daily"	0.0780682
"East African Standard"	0.0780674
"Boston Herald"	0.0779864
Waigel	0.0779785
Asahi	0.077819
"New Nigerian"	0.077298
"Yomiuri Shimbun"	0.0770899
MPAA	0.0769539
CalPERS	0.07691
sid	0.0766882
USOC	0.076436
"Nihon Keizai"	0.0763908
Patel	0.0763406
"Iran News"	0.0762278
"Business Day"	0.0761156
"U.S. Soccer Federation"	0.0760978
"Bangkok Post"	0.075804
RIAA	0.075547
Garcetti	0.0754496
"Seattle Times"	0.0753455
PNP	0.0751694
"British Broadcasting Corp."	0.0750692
Gardiner	0.0750598
"Press Trust"	0.0748835
"China Youth Daily"	0.0747102
CPSC	0.0747034
Singson	0.074636
"Washington Times"	0.0745321
Korman	0.0744728
"Texas Department of Public Safety"	0.0744632
DeFrantz	0.0744502
Ruehe	0.0744499
"College Board"	0.0743293
Maariv	0.0743283
Ogata	0.074169
"U.S. Defense Department"	0.0740353
))
(Apache (desc 6123.89) (sims
Apaches	0.140412
Hopi	0.110455
Learjet	0.107762
osprey	0.103298
"Airbus A@@@"	0.102886
"Air France Concorde"	0.100841
chinook	0.0989249
MiG-@@	0.0987316
USAir	0.0972153
Prowler	0.0971091
F-@@	0.0935712
Cessna	0.0925192
B-@@	0.0916947
cobra	0.0905966
A@@@-@@@	0.0890514
"American plane"	0.0860986
F-@@@	0.0827675
helicopter	0.082524
warplane	0.0823091
Solaris	0.0822796
"Indian Air Force"	0.0819312
DC-@	0.0789326
Eudora	0.0787889
DC-@@	0.07727
"Cessna @@@"	0.0764249
"Airbus @@@"	0.0762558
EgyptAir	0.0738295
Huey	0.0738251
"TWA Flight @@@"	0.0734671
A-@@@	0.0729061
gunship	0.0723805
biplane	0.0723209
MD-@@	0.0722497
Concorde	0.072015
C-@@	0.0711532
"U.S. Air Force"	0.0704272
"Gulf Air"	0.070329
"China Airlines"	0.070153
glider	0.0699076
"Royal Air Force"	0.0695007
bomber	0.0694366
AN-@@	0.0685248
"fighter aircraft"	0.0681283
B-@	0.067845
kamikaze	0.066865
"Mac OS"	0.0666085
airplane	0.0663093
blimp	0.0661958
"blue angel"	0.0660229
Mig	0.0654506
"Alaska Airlines Flight @@@"	0.0652636
Sioux	0.0647994
turboprop	0.0640165
jetliner	0.0639658
IAF	0.0639543
ICQ	0.0636954
"Flight @@@"	0.0620961
T-@@	0.0614595
"Kenya Airways"	0.0610804
F-@	0.0609957
Tomahawk	0.0603742
S-@@@	0.0602382
"Windows NT"	0.0601711
C-@@@	0.0601426
airliner	0.0586136
Swissair	0.0579849
"Air Force"	0.0575227
"Air Force Reserve"	0.0571441
A-@@	0.0570214
"EgyptAir Flight @@@"	0.056937
reconnaissance	0.056845
chopper	0.0560593
Orbiter	0.055886
"Alaska Airlines"	0.0555338
ICBM	0.055091
tomcat	0.0547339
Iroquois	0.0544031
"Swissair Flight @@@"	0.0542536
NATO-led	0.0541889
"Flight @@@@"	0.05413
Maasai	0.0540503
WordPerfect	0.0537471
Harrier	0.0536571
"U.S. Coast Guard"	0.0536384
interceptor	0.0535526
"jet plane"	0.0534627
RAF	0.0524712
Thunderbird	0.0524467
NMD	0.0520131
"American Airlines"	0.0519982
Scud	0.0518417
"Microsoft Windows"	0.0516429
ValuJet	0.0515468
fighter-bombers	0.0513221
"Korean Air"	0.0510164
tugboat	0.0505384
"Red Hat"	0.0502375
Fedex	0.0502239
Cheyenne	0.0501583
"hot-air balloon"	0.0500452
TWA	0.0490651
Biman	0.0488851
airship	0.0488179
F-@@s	0.0488159
TU-@@@	0.0487376
"U.S. Navy"	0.0485177
CHEROKEE	0.0483677
"South Vietnamese"	0.0482097
"Thai Airways"	0.047925
Unix	0.0479146
Chandra	0.0477607
Il-@@	0.0477552
"Vietnam Airlines"	0.0475276
"El Al"	0.0475171
"booster rocket"	0.0472278
"Marine Corps"	0.0470387
A@@@	0.0468687
airforce	0.0467697
X-@@	0.0467167
UNIFIL	0.0466072
warplanes	0.0464445
freighter	0.0463919
submarine	0.0462862
avionics	0.0460709
KFOR	0.0457723
"Air Canada"	0.045702
"National Guard"	0.0453359
"Lunar Prospector"	0.0451662
"U. N."	0.0449417
"National Missile Defense"	0.0447649
stealth	0.0445974
JAT	0.0444183
DOS	0.0443741
"Polar Lander"	0.0443558
"patrol boat"	0.0440461
speedboat	0.0439909
"attack aircraft"	0.043988
Mohawk	0.0439475
spacecraft	0.0439107
tanker	0.0438864
drone	0.0438706
"Ethiopian Airlines"	0.0437957
Atlantis	0.0437652
MiGs	0.043722
"Internet Explorer"	0.0436924
"surface ship"	0.0436267
Labrador	0.0434656
WebTV	0.0434375
THAAD	0.0433975
"United Airlines"	0.0433532
"American eagle"	0.0432774
"ground attack"	0.0432325
"up to eight"	0.0431196
Airbus	0.0429294
reverser	0.0426346
Java	0.0426194
"Delta @"	0.042444
endeavour	0.0423507
"America West"	0.0423421
UNAMSIL	0.042131
"UNIX operating system"	0.0421096
"Indian Airlines"	0.0420305
Navajo	0.0420249
"Air National Guard"	0.0420248
DNR	0.0420238
browsers	0.0417834
commando	0.0416842
Emery	0.0415349
"artillery unit"	0.0411878
Garuda	0.0411577
yacht	0.0411345
RealNetworks	0.0411275
Kursk	0.040755
"Andrea Gail"	0.0407019
"Coast guard"	0.0405487
"air defense"	0.0405347
pallbearer	0.0404713
"personnel carrier"	0.0404436
SAS	0.0401938
))
(Apaches (desc 5376.98) (sims
B-@s	0.146195
gunship	0.141124
Apache	0.140412
"American plane"	0.122024
fighter-bombers	0.120938
B-@@	0.112334
F-@@s	0.111717
helicopter	0.106936
warplanes	0.103063
Concordes	0.101986
Prowler	0.0922123
MiGs	0.091732
bomber	0.091458
Learjet	0.0830278
reverser	0.0821782
marine	0.0817601
warplane	0.0815045
"air power"	0.0800393
airmen	0.0792653
paratrooper	0.0788238
F-@@	0.0787773
"container ship"	0.0778579
"U.N. Interim Force in Lebanon"	0.0778235
"battle group"	0.077544
"fighter aircraft"	0.0768788
interceptor	0.0767573
planeloads	0.0757879
"military force"	0.0754517
missile	0.0754176
peacekeeper	0.0751592
A@@@s	0.0751469
battalion	0.0748277
"Airbus A@@@"	0.0746543
MiG-@@s	0.0731218
commando	0.0727844
mercenary	0.0712516
MD-@@s	0.0710654
airship	0.0697131
UNIFIL	0.0693856
paratroops	0.0688649
tanker	0.0688366
"jet plane"	0.0684597
"communications satellite"	0.0683863
"fire engine"	0.0682922
planeload	0.0681154
chopper	0.0680184
warship	0.0676253
guerilla	0.0673481
"aircraft carrier"	0.0665631
firemen	0.0663875
MKO	0.0663519
"patrol boat"	0.0661241
"fire truck"	0.0658522
guardsmen	0.0655453
airplane	0.0654892
"personnel carrier"	0.0648269
"military unit"	0.064183
"North Africans"	0.0641662
"Christopher Columbus"	0.0635382
"Cessna @@@"	0.0628176
USAir	0.0620178
crewmembers	0.0616007
militiamen	0.0615709
hostage-takers	0.0615286
Kamajors	0.0604769
"surface ship"	0.0593281
policemen	0.059318
reversers	0.0592495
"National Missile Defense"	0.0591353
jetliner	0.059032
osprey	0.0590094
"robbery suspect"	0.0589436
B-@	0.0589317
firefighters	0.0587811
infantry	0.0587354
rioter	0.0584671
mushers	0.0584402
chinook	0.058032
spacecraft	0.0576193
MiG-@@	0.0573911
verifiers	0.0570469
"security force"	0.0569266
"heavy weapon"	0.056911
S-@@@	0.0568429
DC-@@	0.056836
"military mission"	0.0567418
Stealers	0.0566997
drone	0.0565426
Cessna	0.0564532
"Flight @@@@"	0.0562634
trapeze	0.0561868
NMD	0.0561622
attacker	0.056056
A@@@-@@@	0.0560317
blimp	0.0560252
lifeboat	0.0559506
MD-@@	0.0558428
QBs	0.0556712
consortia	0.0556089
artillery	0.0555583
great-grandchildren	0.055173
"express train"	0.0551672
Gurkha	0.0551281
squadron	0.0551083
spacewalks	0.0549844
"Kosovar Albanians"	0.0548575
"surface-to-air missile"	0.0547609
cavalry	0.0547206
Dutchmen	0.0547006
DC-@	0.054667
assailant	0.0544874
"Hurricane Hugo"	0.0543961
"Air France Concorde"	0.0543813
"crew member"	0.0543701
"naval forces"	0.0543396
"attack aircraft"	0.0543262
"major-league team"	0.0541857
tribesmen	0.0541078
quarterfinalists	0.0540954
"Air Force"	0.0539435
Humvees	0.0538119
Concorde	0.053689
biplane	0.0536299
Klansmen	0.0536086
Brigade	0.0535247
duster	0.0534059
"National Guard"	0.0530192
solder	0.0530083
KNU	0.0529026
"Uganda People's Defense Forces"	0.0528923
"drilling rig"	0.0526812
ICBM	0.0526025
soliders	0.0525212
gunboat	0.0525076
armymen	0.0524744
bandit	0.0523922
Nasrin	0.0523508
armada	0.0523386
vote-getters	0.0522844
submarine	0.0521928
"commuter train"	0.0521447
"mountain gorilla"	0.0521018
abductor	0.0520326
"Kosovo Albanians"	0.0519833
"All-Star Games"	0.0519554
Hijacker	0.0517775
desperado	0.0517235
"No. @s"	0.051694
servicemen	0.0515915
thug	0.0515029
"Airbus @@@"	0.0514285
LRA	0.051414
DC-@s	0.0510784
motorboat	0.0509306
"Alaska Airlines Flight @@@"	0.0508097
rustler	0.050502
separatist	0.0504678
BSF	0.0503826
seamen	0.0502895
"military police"	0.049917
whaler	0.0499145
"cluster bomb"	0.0498261
KFOR	0.0498227
"Israeli Arabs"	0.0497374
A-@@@	0.0496516
"three pitchers"	0.0496269
"power unit"	0.0495342
"military personnel"	0.0493337
gunmen	0.0493022
gondola	0.0492961
reinforcement	0.0492056
"space probe"	0.0491409
reservist	0.049128
UNMIK	0.0491041
airliner	0.0490757
"wise man"	0.0490244
dinghy	0.0489697
Atlantis	0.048968
troops	0.0489016
glider	0.0488399
frigate	0.0488103
ValuJet	0.0487817
"National Guardsmen"	0.0487024
robber	0.0486176
UNPREDEP	0.0485888
paramilitary	0.048562
"federal agent"	0.0485403
Nepalese	0.0484543
no-decisions	0.0484502
defoliant	0.0481486
"domestic flight"	0.0480006
carnivore	0.0479985
deportee	0.0479069
sortie	0.0478858
firewalls	0.0478389
"Gulf Air"	0.047835
bulldozer	0.047752
"international flight"	0.0477216
sub-projects	0.0476928
F-@@@	0.0476698
))
(apartheid (desc 23589.2) (sims
dictatorship	0.127923
communism	0.127512
segregation	0.121788
colonialism	0.12054
slavery	0.118629
imperialism	0.11495
oppression	0.111914
regime	0.10406
racism	0.101219
serfdom	0.0857061
"racial segregation"	0.0853897
discrimination	0.0776269
occupation	0.0751526
injustice	0.0734268
Fascism	0.0724925
tyranny	0.0721603
"capital punishment"	0.0720536
hegemonism	0.0711574
"Jim Crow"	0.0707267
"Khmer Rouge"	0.0702471
Stalinist	0.0698567
"Cold War"	0.0696482
"Vietnam War"	0.0695911
Nazism	0.0688335
genocide	0.0684752
inequality	0.0674347
conscription	0.0670535
terrorism	0.0668318
separatism	0.0649548
"civil war"	0.0648862
poverty	0.063834
corruption	0.0632614
embargo	0.063247
"slave trade"	0.0628139
Suharto	0.0619251
repression	0.0611648
"martial law"	0.0609826
monarchy	0.0607264
aggression	0.0605031
sanction	0.0603264
prejudice	0.0603008
holocaust	0.0602679
bigotry	0.0602542
colonialist	0.0598195
anti-Semitism	0.0598042
Hitler	0.0590236
"white supremacy"	0.0575741
"trade embargo"	0.0574795
"death penalty"	0.0574005
Nazi	0.0572457
violence	0.0569787
torture	0.0568065
Capitalism	0.0567099
"price control"	0.055209
"Ottoman Empire"	0.0549258
terror	0.054647
Mobutu	0.0541935
hegemony	0.0538142
extremism	0.0537736
hunger	0.0537477
Soviet	0.0533938
McCarthyism	0.0531506
"Third Reich"	0.0529997
exploitation	0.0528906
persecution	0.0527697
domination	0.0523796
abortion	0.0519963
"Proposition @@"	0.051957
brutality	0.0514104
"Berlin Wall"	0.0512236
illiteracy	0.0511341
censorship	0.0509127
globalization	0.0504931
bondage	0.0503075
immigration	0.0501894
intolerance	0.050186
protectionism	0.0500096
lynching	0.0494184
fundamentalism	0.0488967
invader	0.0487456
"Soviet Union"	0.0487178
"Fidel Castro"	0.0486707
cleansing	0.0485309
invasion	0.0484385
xenophobia	0.0483827
democracy	0.0482955
homelessness	0.0482466
hatred	0.0480333
polygamy	0.0480048
Tudjman	0.0478695
PRI	0.0476941
"free trade"	0.0476913
"estate tax"	0.0476789
"drug trafficking"	0.0475204
"political system"	0.047251
euthanasia	0.0472257
inequity	0.0470223
graft	0.0469146
blockade	0.0469143
strife	0.0467777
"iron curtain"	0.0466639
Proliferation	0.0466466
Stalin	0.0464909
"drug abuse"	0.0462191
homophobia	0.0462119
"price support"	0.0459832
atrocity	0.0457553
totalitarianism	0.0456355
Abacha	0.0456352
"counsel law"	0.0454849
"African National Congress"	0.0454336
mutilation	0.045196
Milosevic	0.0451218
"trade bill"	0.0450955
riot	0.0449274
Castro	0.044926
piracy	0.0448257
insurgency	0.0447616
scourge	0.0447414
gambling	0.0447338
"military campaign"	0.0445611
"economic policy"	0.0443708
bombing	0.0442638
colonization	0.0441918
monopoly	0.0441042
narcotic	0.0439335
"quota system"	0.0438816
"organized crime"	0.0437255
unrest	0.0436146
"Spanish Civil War"	0.0435389
"human rights"	0.0434257
Pinochet	0.043415
drought	0.0431783
secession	0.0431777
"Nazi Germany"	0.0430556
divisiveness	0.0430135
turmoil	0.0429893
"double standard"	0.0429007
Mitch	0.0428006
"rule of law"	0.0427954
isolation	0.0427905
exclusion	0.0426736
"trade barrier"	0.0426543
correctness	0.0425993
junta	0.0425084
bloodshed	0.0424394
nepotism	0.0424355
Sandinistas	0.0422404
homosexuality	0.0420849
reign	0.0419561
subsidy	0.0419294
lockout	0.0418913
sexism	0.0418065
Saddam	0.0417871
"world war"	0.0417384
"World War II"	0.0416687
"status quo"	0.0416129
nationalism	0.0413541
dynasty	0.0412741
Marcos	0.0409253
amendment	0.0408985
"Cultural Revolution"	0.0408514
impunity	0.0408237
famine	0.0407514
independence	0.0407322
revolution	0.0405903
Clinton-Gore	0.040413
upheaval	0.0402545
HIV/AIDS	0.0402066
quota	0.0401673
inhumanity	0.0401203
restriction	0.0400671
"drug trade"	0.040063
))
(apartment (desc 138578) (sims
home	0.214802
house	0.21367
hotel	0.20213
"apartment building"	0.200192
condominium	0.184298
building	0.18078
room	0.178789
restaurant	0.175523
"hotel room"	0.173729
mansion	0.166635
condo	0.163753
office	0.162314
loft	0.160206
bedroom	0.159873
"office building"	0.159843
suite	0.159761
residence	0.158117
"town house"	0.154202
garage	0.14773
Housing	0.144715
shop	0.144539
Warehouse	0.14183
townhouse	0.140273
cabin	0.139502
studio	0.138205
cottage	0.137831
"living room"	0.136226
store	0.136133
kitchen	0.130661
complex	0.130256
basement	0.130068
neighborhood	0.12959
dormitory	0.129521
motel	0.1272
duplex	0.124333
space	0.122663
cafe	0.12229
classroom	0.121507
car	0.119381
library	0.118725
bar	0.115764
gym	0.115491
"apartment house"	0.115088
Villa	0.115007
gallery	0.114851
brownstone	0.112724
church	0.112359
dwelling	0.111973
headquarter	0.11182
hospital	0.111694
park	0.110708
bathroom	0.110596
shelter	0.110133
bungalow	0.109482
hall	0.108924
"office space"	0.106956
Tower	0.106838
theater	0.10608
farmhouse	0.105809
stadium	0.105758
"conference room"	0.105029
trailer	0.104156
school	0.104091
"parking lot"	0.10314
flats	0.103125
"shopping center"	0.102668
nightclub	0.102567
penthouse	0.101862
"mobile home"	0.101747
mall	0.101634
shack	0.101381
facility	0.101282
courthouse	0.100996
"dining room"	0.100973
palace	0.100799
museum	0.100689
tent	0.0998434
factory	0.0993454
high-rise	0.0988586
clinic	0.0987534
estate	0.0986147
inn	0.0983558
pub	0.097984
tenement	0.0972613
closet	0.0971281
barn	0.096979
street	0.0964277
mosque	0.0954947
"row house"	0.0954903
courtroom	0.094878
compound	0.0948223
property	0.0946295
center	0.0935889
synagogue	0.0934532
garden	0.0932213
"police station"	0.0931931
bed	0.093072
lobby	0.0926435
storefront	0.0925189
auditorium	0.0910013
farm	0.0907344
village	0.0904901
ballroom	0.0898476
"department store"	0.0896977
dorm	0.0896942
"shopping mall"	0.0895159
area	0.0892893
clubhouse	0.0891214
showroom	0.0887687
flat	0.0879861
hallway	0.0872788
hut	0.0872206
prison	0.0870501
lounge	0.0868844
"movie theater"	0.0867086
"dorm room"	0.0867021
airport	0.0866557
booth	0.085864
"post office"	0.0849613
"subway station"	0.0849545
barrack	0.084067
lodge	0.083836
camp	0.083543
ranch	0.0834907
place	0.0832497
station	0.0830898
resort	0.0828389
location	0.0820552
parlor	0.0818316
cubicle	0.0815502
arena	0.0810988
co-op	0.0810967
vehicle	0.0808261
campus	0.0806311
elevator	0.0803943
"elementary school"	0.0800973
"nursing home"	0.079915
"dressing room"	0.0798231
"gas station"	0.0795464
box	0.0793755
bus	0.0792463
gymnasium	0.0790134
supermarket	0.0788522
suburb	0.0787509
van	0.0785533
window	0.0784069
locker	0.0784016
unit	0.0783847
club	0.0783768
land	0.0783611
boutique	0.0783349
chapel	0.0779483
terminal	0.077922
cemetery	0.0778312
"high school"	0.07776
cafeteria	0.0771899
"art gallery"	0.0770098
courtyard	0.0769697
"city hall"	0.0768262
jail	0.0767373
temple	0.0766032
Capitol	0.0765593
floor	0.0765171
cave	0.0765169
"real estate"	0.0765029
"ranch house"	0.0764604
square	0.0764469
"grocery store"	0.0759759
bookstore	0.0759547
accommodation	0.0755203
"coffee shop"	0.0751566
site	0.0751401
shed	0.075093
Castle	0.0750568
salon	0.0749634
town	0.0749622
restroom	0.0744835
truck	0.0744825
hangar	0.0744043
seat	0.0741874
hostel	0.0741495
Ballpark	0.0739988
Casino	0.0738076
block	0.0736295
plant	0.0730242
sanctuary	0.0729498
downtown	0.0727133
"train station"	0.0724237
tavern	0.0721254
cellar	0.0720884
stall	0.0720711
yard	0.0719713
embassy	0.0718779
"community center"	0.0718646
plaza	0.0710771
cab	0.070779
"conference center"	0.070362
tomb	0.0699189
subdivision	0.0698838
orphanage	0.0695688
))
("apartment building" (desc 32120.9) (sims
"apartment house"	0.273986
"office building"	0.202495
apartment	0.200192
building	0.184061
brownstone	0.153401
high-rise	0.151802
condominium	0.151371
hotel	0.150063
"shopping center"	0.149215
complex	0.144353
dormitory	0.144202
Tower	0.139698
"town house"	0.136826
Warehouse	0.136129
townhouse	0.134607
mansion	0.125881
"shopping mall"	0.122893
"row house"	0.122768
house	0.121689
"mobile home"	0.120785
tenement	0.120179
garage	0.117877
factory	0.117409
duplex	0.114507
synagogue	0.11415
home	0.113885
residence	0.112556
neighborhood	0.111739
restaurant	0.11091
mosque	0.110239
skyscraper	0.109841
dwelling	0.109575
condo	0.108315
barrack	0.107621
"police station"	0.106947
Villa	0.106841
hut	0.103128
"department store"	0.102365
motel	0.101226
bungalow	0.100192
shop	0.100134
courthouse	0.0980375
shack	0.0967592
church	0.096516
subdivision	0.0962167
loft	0.0959925
"subway station"	0.0958961
cottage	0.0958743
"movie theater"	0.0953204
"World Trade Center"	0.0945561
mall	0.0939499
"housing development"	0.0939384
"power station"	0.0936705
nightclub	0.0935321
Housing	0.0929093
barn	0.0923346
park	0.0922156
"post office"	0.0913942
"U.S. Embassy"	0.0912558
"office block"	0.0908814
hospital	0.0907944
flats	0.0905606
"community center"	0.0903786
cafe	0.0895488
"gas station"	0.0886996
"power plant"	0.0880059
townhouses	0.0873998
compound	0.0873787
palace	0.0869931
depot	0.0869115
bridge	0.0866029
shanty	0.0864897
edifice	0.0863885
"parking lot"	0.0858243
"art gallery"	0.0853452
village	0.0852254
co-op	0.0850108
hangar	0.0844842
"nursing home"	0.084286
farmhouse	0.0840198
inn	0.0839606
block	0.08395
headquarter	0.0839446
structure	0.0837504
"oil refinery"	0.0835407
dorm	0.0835358
embassy	0.0835166
store	0.0835014
storefront	0.0829822
cabin	0.0827467
clinic	0.0826887
lodge	0.0826414
facility	0.0818078
office	0.0816131
firehouse	0.0808344
gym	0.080435
trailer	0.0804178
bus	0.0801278
discotheque	0.0800557
overpass	0.0794
walk-up	0.0791685
"abortion clinic"	0.0790973
terminal	0.0790699
shelter	0.0771672
bunker	0.0769395
"vacant lot"	0.0768143
cemetery	0.0765905
orphanage	0.0764563
refinery	0.0761229
theater	0.0761229
"city hall"	0.0760474
"railway station"	0.0756876
"rooming house"	0.0755707
"grocery store"	0.075411
"ranch house"	0.0743962
studio	0.0743913
"Centennial Olympic Park"	0.0743407
pub	0.0742615
Cathedral	0.0740495
"bank building"	0.0739416
hostel	0.0737024
pier	0.0733988
library	0.0732266
stadium	0.0731307
"funeral home"	0.0728565
plaza	0.072743
tent	0.0724622
atrium	0.0724327
school	0.0723244
station	0.0722577
hall	0.0718522
downtown	0.0716096
"town hall"	0.0715924
bar	0.071497
museum	0.0713842
chalet	0.0708251
temple	0.0707357
gallery	0.0706814
suburb	0.0706087
tavern	0.0705803
supermarket	0.0704371
car	0.0702704
slum	0.0701684
gymnasium	0.0700394
classroom	0.0700158
boutique	0.0699157
penthouse	0.069857
"day care center"	0.0698016
"elementary school"	0.0697558
"liquor store"	0.0696772
vestibule	0.0692537
"office space"	0.0689442
"recreational facility"	0.0687808
"hotel room"	0.0686703
farm	0.0685675
chapel	0.0683315
tunnel	0.0683205
bedroom	0.0683203
Monastery	0.0682379
stall	0.0677504
outpost	0.0676699
estate	0.0676181
auditorium	0.0675703
"clothing store"	0.0673446
suite	0.0671444
Castle	0.0667744
godown	0.0666073
bakery	0.0664692
square	0.0664285
"train station"	0.0663456
coop	0.0659001
cave	0.0655645
scaffold	0.0654348
"fire station"	0.0652834
headquarters	0.0652778
"dance hall"	0.0650782
substation	0.0650332
resort	0.065017
"exhibition hall"	0.0647903
street	0.0647043
airport	0.0646638
"repair shop"	0.0645767
parlor	0.0645467
"resort hotel"	0.0644563
"beach house"	0.0644483
"jewelry store"	0.064273
schoolhouse	0.0642198
"golf course"	0.0641557
landmark	0.0641356
"conference center"	0.0640564
fortress	0.0639773
mill	0.0636281
"industrial park"	0.0633831
"coffee shop"	0.0628208
garden	0.0627704
monument	0.0627571
subway	0.0627166
"bus terminal"	0.0625027
"amusement park"	0.0624792
facade	0.0624727
))
("apartment house" (desc 6934.5) (sims
"apartment building"	0.273986
high-rise	0.149557
brownstone	0.132355
tenement	0.130783
"town house"	0.130179
"row house"	0.124931
"office block"	0.117976
townhouse	0.117859
apartment	0.115088
"office building"	0.112721
bungalow	0.103857
condominium	0.103639
dormitory	0.101953
shanty	0.100701
hut	0.0988685
"mobile home"	0.0958808
"rooming house"	0.0957883
"World Trade Center"	0.0913002
shack	0.0901326
Warehouse	0.0881381
Tower	0.0877181
"shopping center"	0.0864565
scaffold	0.0855985
"bank building"	0.0851889
dwelling	0.0851502
farmhouse	0.0839623
skyscraper	0.0839222
cottage	0.0830016
walk-up	0.0826112
mansion	0.0824106
townhouses	0.0817487
synagogue	0.080314
garage	0.0791253
"shopping mall"	0.0791016
"subway station"	0.0781354
"ranch house"	0.0780847
edifice	0.0780684
motel	0.0773531
"fire station"	0.0740845
Villa	0.0734111
duplex	0.0734024
"beach house"	0.0713146
barrack	0.070841
"US Embassy"	0.0707522
condo	0.0703215
mosque	0.0702463
atrium	0.0695683
storefront	0.0680762
"movie theater"	0.0665874
dorm	0.0663035
penthouse	0.0662802
hostel	0.0662255
"housing development"	0.0661842
hovel	0.0661821
"community center"	0.0660762
"clock tower"	0.0660262
"department store"	0.0659105
loft	0.0658206
pagoda	0.0656935
overpass	0.0656185
"boarding house"	0.0652831
barn	0.0649895
"bell tower"	0.064635
"Planet Hollywood"	0.0642837
annex	0.064277
pylon	0.0632186
residence	0.0623911
"Pan Am"	0.0623078
"art gallery"	0.0621394
"summer house"	0.0615584
"U.S. Embassy"	0.0614186
"power station"	0.0605891
chimney	0.0605693
inn	0.0602
chalet	0.0599331
hangar	0.0597656
co-op	0.0596404
subdivision	0.0595793
firehouse	0.0595446
"house of cards"	0.0595209
Reichstag	0.0593463
discotheque	0.0592365
headquarters	0.0591136
flats	0.0589354
godown	0.058895
shantytown	0.0587148
"clothing store"	0.0586972
courthouse	0.0585283
cafe	0.0584624
"opera house"	0.0582562
treehouse	0.0579958
"tourist hotel"	0.0576058
orphanage	0.0573652
pub	0.0568717
"oil pipeline"	0.0565187
cabin	0.0560167
"vacant lot"	0.0560091
palace	0.0559225
bunker	0.0553308
"dance hall"	0.055241
"assembly hall"	0.0551877
"office space"	0.0548007
Cathedral	0.0547934
"hotel room"	0.0547388
emporium	0.0546591
dike	0.0545538
"sewage system"	0.0542073
fortress	0.0540524
footbridge	0.0536961
"house of worship"	0.0536543
Castle	0.0533289
nightclub	0.0530435
outhouse	0.0528764
"police station"	0.0528249
schoolhouse	0.0526471
"supper club"	0.0525611
lean-to	0.0523284
silo	0.0521283
"town hall"	0.052061
chapel	0.0520056
"Israeli Embassy"	0.0519249
"city hall"	0.0517493
"gas station"	0.0516061
Esplanade	0.0515373
pyramid	0.0515053
"Brandenburg Gate"	0.0514932
facade	0.0514676
"Pan Am Flight @@@"	0.0514488
culvert	0.0513209
"middle school"	0.0513051
"trading post"	0.0512296
"public toilet"	0.0511669
"Grand Hotel"	0.0511581
Nagasaki	0.0510161
coop	0.0509971
walkway	0.0509018
"residence hall"	0.0507929
"storage room"	0.0507926
"open-air market"	0.0507276
stadia	0.050465
"place of worship"	0.0504259
"industrial park"	0.0504048
"elementary school"	0.0503081
Marina	0.0502621
"bomb shelter"	0.0502391
"studio apartment"	0.0501831
pier	0.0501618
tunnel	0.0496529
guesthouse	0.0495799
cofferdam	0.0495256
"car park"	0.0494331
stalls	0.0492723
refinery	0.0491721
fortification	0.0490787
cemetery	0.0489864
classroom	0.0489466
Colonial	0.0486871
mall	0.0486862
Convent	0.0485091
scaffolding	0.0483673
"train station"	0.048322
arch	0.0482582
"water tank"	0.048182
landmark	0.0481384
transformer	0.0481187
boutique	0.0480343
"building site"	0.0479268
"Christian church"	0.0478777
"conference center"	0.0476951
monument	0.0476764
"funeral home"	0.0476404
Monastery	0.047632
Igloo	0.0476233
kiln	0.0473635
"German Embassy"	0.0473503
sewer	0.0472911
"exhibition hall"	0.0472632
"coffee shop"	0.047059
"American plane"	0.046885
cellblock	0.046847
saloon	0.0467577
"Boland Hall"	0.0467509
"Unknown Soldier"	0.0466843
gymnasium	0.0465139
"post office"	0.0464963
"abortion clinic"	0.0463926
trailer	0.0462953
"amusement park"	0.0462693
"parking lot"	0.0462691
plaza	0.0461522
"manor house"	0.0459784
parlor	0.0458652
pavilion	0.0456395
"Mount Carmel"	0.0455208
cubicle	0.0455167
tomb	0.045147
"nursing home"	0.0450077
sanctuary	0.0449981
"water main"	0.0449355
"power plant"	0.0447902
))
(apathy (desc 13839.5) (sims
cynicism	0.155607
indifference	0.150033
complacency	0.139964
distrust	0.127241
ignorance	0.125667
alienation	0.114659
insecurity	0.112621
anxiety	0.110332
disaffection	0.109739
confusion	0.107544
resentment	0.10576
mistrust	0.104446
bitterness	0.102157
discontent	0.102151
disenchantment	0.0995761
pessimism	0.0992986
ambivalence	0.098918
unease	0.0981711
hostility	0.0980809
helplessness	0.0966257
skepticism	0.0951051
frustration	0.0944366
uncertainty	0.0928421
illiteracy	0.0924144
uneasiness	0.092257
disillusionment	0.0918277
dissatisfaction	0.0916264
nervousness	0.0906084
overconfidence	0.09052
revulsion	0.0903415
anger	0.0898323
perception	0.0895124
weariness	0.0889463
restlessness	0.0885825
paranoia	0.0877936
distaste	0.0875005
prejudice	0.0872134
disgust	0.0863011
wariness	0.0854604
fragmentation	0.085443
hopelessness	0.0848288
hunger	0.0846186
enthusiasm	0.0844166
misconception	0.0843052
turnout	0.0843035
loneliness	0.0836149
arrogance	0.083252
poverty	0.0824651
scarcity	0.0822664
disdain	0.0817116
awareness	0.0815356
instability	0.0813481
fatigue	0.080768
hatred	0.0804253
unemployment	0.0802065
inequality	0.0798468
optimism	0.0796828
lawlessness	0.0794122
disapproval	0.0792862
backwardness	0.0792621
desperation	0.0790274
Exhaustion	0.0787076
animosity	0.0786754
reluctance	0.0783201
angst	0.0776772
sentiment	0.0773491
misunderstanding	0.0772524
greed	0.0772431
suspicion	0.0770994
unrest	0.0769869
disunity	0.0769236
sympathy	0.0762778
panic	0.0759212
joblessness	0.075336
neglect	0.0753182
partisanship	0.0752447
disparity	0.0751539
indecision	0.0750975
outrage	0.0745993
backlash	0.0743395
Depression	0.0742576
malnutrition	0.0742289
boredom	0.074188
volatility	0.0740049
jealousy	0.0737302
corruption	0.0736815
despair	0.0734307
negativity	0.0734084
affection	0.0733524
erosion	0.073331
selfishness	0.0729209
divisiveness	0.0725362
intolerance	0.072413
racism	0.0719492
weakness	0.0718129
feeling	0.0718118
tension	0.0717426
polarization	0.0715529
chaos	0.0712554
inertia	0.0711936
inconsistency	0.0711598
violence	0.0710031
indignation	0.071003
incompetence	0.0707802
hypocrisy	0.0703516
immaturity	0.0701559
attitude	0.0699739
isolation	0.0698906
shortage	0.0698051
hardship	0.0693585
fervor	0.0693251
impatience	0.0689364
disappointment	0.0689065
homelessness	0.0685075
naivete	0.0683001
malaise	0.0681651
dislike	0.0681562
tendency	0.0680668
carelessness	0.0680598
misperception	0.0679521
deflation	0.0678573
unhappiness	0.0678181
Distress	0.0676918
"drug abuse"	0.0676892
inexperience	0.0676518
skittishness	0.0676192
euphoria	0.0675667
epidemic	0.0675076
rudeness	0.0675033
aggressiveness	0.0674879
xenophobia	0.0674643
exasperation	0.0673151
"good will"	0.0671393
despondency	0.0671003
stupidity	0.0670812
bias	0.0666979
downturn	0.0665191
desire	0.0663847
inability	0.0663446
insensitivity	0.0662821
superstition	0.0660212
degradation	0.065952
sadness	0.0658434
anguish	0.065835
permissiveness	0.0656498
congestion	0.0656238
imbalance	0.0656006
hesitation	0.0654243
lethargy	0.0653017
appetite	0.0652749
disquiet	0.0652101
discomfort	0.0652001
emotion	0.0651359
"drug problem"	0.0649524
inefficiency	0.0647347
breakdown	0.0646571
slowdown	0.064601
turmoil	0.0645485
"ill will"	0.0643502
anti-Semitism	0.0641838
expectation	0.0640554
rejection	0.064016
oversupply	0.0640152
excitement	0.063621
rancor	0.063572
laziness	0.0635486
reticence	0.0633914
deterioration	0.0632319
antipathy	0.0631138
sluggishness	0.0629413
apprehension	0.0624225
inaction	0.0623675
tolerance	0.0622125
disbelief	0.0621324
grief	0.0620771
deforestation	0.0618257
outcry	0.0617827
doubt	0.0617823
"drug use"	0.061646
resistance	0.061519
confidence	0.0614692
malice	0.0613761
hysteria	0.0613151
contempt	0.0612169
"acid rain"	0.0610392
alarm	0.0609913
loyalty	0.0609237
woe	0.0609056
hesitancy	0.0607559
defensiveness	0.0607077
gridlock	0.060642
famine	0.0605988
factionalism	0.0605599
deprivation	0.0601771
underdevelopment	0.0601737
aversion	0.060072
dislocation	0.0599638
misery	0.0599624
bigotry	0.0599063
shyness	0.0597895
))
(ape (desc 11006.6) (sims
Primate	0.140231
chimp	0.118561
chimpanzee	0.114504
gorilla	0.111707
Dinosaur	0.10208
mammal	0.101597
monkey	0.101308
orangutan	0.0961751
rhino	0.0906919
hominid	0.0875543
elephant	0.0873818
crocodile	0.0857009
reptile	0.0856802
animal	0.0847825
rhinoceros	0.0826965
bird	0.0812305
deer	0.078721
lizard	0.0774143
giraffe	0.0766343
Neanderthal	0.0747967
baboon	0.0730676
wolf	0.0705347
vertebrate	0.0702493
whale	0.0696592
"Homo sapiens"	0.0696375
pig	0.0696107
panda	0.0691826
rabbit	0.0680405
CAT	0.0677647
"giant panda"	0.0677595
"mountain gorilla"	0.0674221
creature	0.065965
ibis	0.0655261
turtle	0.0654162
leopard	0.0652972
antelope	0.0652415
parrot	0.0647697
"rare bird"	0.0646566
iguana	0.0643025
insect	0.0632565
donkey	0.062715
beast	0.0627016
lion	0.0626641
rat	0.0622796
amphibian	0.0620467
frog	0.06193
"Homo erectus"	0.0613321
Macaque	0.060966
tiger	0.059888
lemur	0.0597516
mice	0.0595548
hummingbird	0.0582897
snake	0.0578512
specie	0.0576749
rodent	0.0574951
sheep	0.0568073
"brown bear"	0.0560138
Archaeopteryx	0.0547055
alligator	0.0539632
kitten	0.0537427
cheetah	0.0532201
"guinea pig"	0.0531565
dragonfly	0.0531087
dragon	0.0531044
hemoglobin	0.0529758
"living thing"	0.0520423
rooster	0.0519764
slob	0.0518826
kangaroo	0.0518531
elk	0.0517966
dolphin	0.0514741
"Austin Powers"	0.0509956
"white elephant"	0.0509921
mollusk	0.0505299
cow	0.050277
zebra	0.0501949
hamster	0.0501622
pigeon	0.0497863
monster	0.0494583
spider	0.0493117
"sea turtle"	0.0491891
"life form"	0.0489516
owl	0.0489039
microbe	0.0488014
Superman	0.048739
ant	0.0486059
genus	0.0485194
Condor	0.0482438
hedgehog	0.0479005
organism	0.0475712
ancestor	0.0473694
parakeet	0.0472512
Brahmin	0.0472508
Crane	0.0472197
"solar system"	0.0464359
Godzilla	0.0464206
"domestic animal"	0.0462528
alien	0.0459506
gazelle	0.0457841
"particle accelerator"	0.0456122
Costner	0.0452739
"flowering plant"	0.0451769
canine	0.0451165
moose	0.0449418
moth	0.0448092
"human being"	0.0445414
mummy	0.0441971
porpoise	0.0441192
"sea lion"	0.0439471
sturgeon	0.0436261
"Jackie Chan"	0.0432866
crow	0.0431869
Frankenstein	0.043022
shark	0.0430207
mouse	0.0429301
Kurosawa	0.0428417
porcupine	0.0427691
butterfly	0.0426448
leech	0.0426075
"Indiana Jones"	0.0425975
Buffaloes	0.0425442
squirrel	0.0424111
wildlife	0.0423476
"mountain lion"	0.0422704
"snow leopard"	0.0421838
"Brady Bunch"	0.0419245
toad	0.041914
"water buffalo"	0.04176
witch	0.041661
raccoon	0.0416595
"belly dancer"	0.0416002
Livestock	0.0415103
tarantula	0.0414459
heron	0.0414307
impala	0.0412947
antihero	0.0412302
vampire	0.0411161
Spenser	0.0409699
Israelites	0.0407226
ox	0.040678
superhero	0.0406675
worm	0.0404833
"bald eagle"	0.0404016
goat	0.0402943
Bech	0.0402836
fright	0.0402734
specimen	0.0402164
eel	0.0401855
clown	0.0401651
))
(APEC (desc 27396.2) (sims
"Asia-Pacific Economic Cooperation"	0.225056
ASEM	0.204978
ASEAN	0.204977
SAARC	0.20352
"Asia Pacific Economic Cooperation"	0.193446
ARF	0.18391
"Association of Southeast Asian Nations"	0.155611
SADC	0.151172
"ASEAN Regional Forum"	0.150006
WTO	0.144089
G-@@	0.143096
G-@	0.132345
forum	0.127845
COMESA	0.126773
"Rio Group"	0.125316
"World Trade Organization"	0.124994
OECD	0.122456
eco	0.12114
"Asia-Europe Meeting"	0.120792
GCC	0.120576
"Non-Aligned Movement"	0.118738
"Southern African Development Community"	0.116989
OIC	0.116304
Asia-Europe	0.112959
"South Asian Association for Regional Cooperation"	0.110551
UNCTAD	0.110105
summit	0.110057
Mercosur	0.109294
IPU	0.108733
OAU	0.105616
EU	0.104946
EAC	0.104875
UN	0.103244
PECC	0.1022
WEU	0.10186
"Group of @@"	0.101693
conference	0.100199
"Arab League"	0.0999653
"European Union"	0.0988079
"ASEAN Ministerial Meeting"	0.0958785
"Group of Seven"	0.095549
"summit meeting"	0.0948643
OPEC	0.0947499
ECOWAS	0.0947083
IGAD	0.0945147
"United Nations"	0.0944652
"Group of Eight"	0.0940339
AMM	0.0935313
ESCAP	0.093517
"South Pacific Forum"	0.0935071
OSCE	0.0927481
"Group of Rio"	0.092686
"general assembly"	0.0926644
Ci	0.0921671
"working group"	0.0899052
NAM	0.0898412
grouping	0.0898391
"Contact Group"	0.0890691
IGC	0.0881919
D-@	0.0875903
"World Economic Forum"	0.0869647
U.N.	0.0863659
"Gulf Cooperation Council"	0.0858256
"Andean Community"	0.0845071
JLG	0.0841906
fora	0.0838936
bloc	0.0829772
"Damascus Declaration"	0.0826662
"Consultative Group"	0.0826412
NATO	0.0820451
ADB	0.0816529
commonwealth	0.0814562
G@	0.0812082
"National Congress"	0.0809046
JMC	0.0807721
Asia-Pacific	0.0807576
meeting	0.0797254
IMF	0.0794933
Council	0.0784809
sub-regional	0.0782409
"ASEAN Free Trade Area"	0.0780195
symposium	0.0778845
G@@	0.0776455
ILO	0.0775979
"Commonwealth of Independent States"	0.0772941
"international organization"	0.0770113
CPLP	0.0758742
PATA	0.0756477
"member country"	0.0752541
plenum	0.0752
"International Conference"	0.0750881
"World Bank"	0.0748665
"Security Council"	0.074693
"Millennium Summit"	0.0746633
Roundtable	0.0741999
"European Council"	0.0741972
organization	0.074121
"Preparatory Committee"	0.0738381
"Andean Group"	0.0737258
"Organization of Petroleum Exporting Countries"	0.0732105
CITES	0.0724904
"Caribbean Community"	0.0724148
fair	0.0723911
"International Monetary Fund"	0.0715844
E.U	0.071572
"World Food Summit"	0.071545
commission	0.0704432
"Ministerial Conference"	0.0702457
Liberalization	0.0700085
seminar	0.0699443
"Latin American"	0.0693097
AEC	0.0692333
"United Nations Conference"	0.0691745
"East African Cooperation"	0.0688994
Alliance	0.0688942
CPPCC	0.0687033
UNIDO	0.0682498
interagency	0.0681539
Assembly	0.0678942
two-day	0.0678916
CPC	0.0678067
ECA	0.0676317
convention	0.0675785
"Arab Parliamentary Union"	0.067427
"Commonwealth Games"	0.0671295
committee	0.0669305
"Common Market for Eastern and Southern Africa"	0.0666279
"North Atlantic Treaty Organization"	0.0666045
partnership	0.0663758
session	0.0661954
EMU	0.0658746
plc	0.065178
"European Monetary Union"	0.0651079
CWC	0.0647576
"Ministerial Meeting"	0.0646746
cooperation	0.0646705
IOC	0.0645983
"Council of Europe"	0.0644444
UPU	0.0642619
"Organization of African Unity"	0.0641322
"Organization for Economic Cooperation and Development"	0.0638655
"South Summit"	0.0638521
NPC	0.0638299
three-day	0.0635191
"U.N. Human Rights Commission"	0.0634517
"United Nations Security Council"	0.0632947
association	0.0632722
China-U.S.	0.0630613
"U.N. Security Council"	0.0629857
"council meeting"	0.0629014
"International Labor Organization"	0.0627531
"UN Security Council"	0.0626219
"Organization for Security and Cooperation in Europe"	0.0625143
"Selection Committee"	0.0621655
"International Symposium"	0.0621586
"committee meeting"	0.0620483
Congress	0.0616912
"Fifth Session"	0.061536
"task force"	0.06137
"European Parliament"	0.061304
"Commission on Human Rights"	0.0612537
"Asian country"	0.0612131
dialogue	0.0611798
"International Olympic Committee"	0.0610374
"trading system"	0.0608354
"Council of Ministers"	0.0607657
PNC	0.0605014
"Second Session"	0.06028
"International Congress"	0.0601221
"National Party Congress"	0.0601149
negotiation	0.059991
"standing committee"	0.0598983
"Inter-Governmental Authority on Development"	0.0594032
UNDP	0.0593816
UNESCO	0.0591479
cabinet	0.0589015
"trade union"	0.0587948
"CPC National Congress"	0.0587749
workshop	0.0587649
KEDO	0.0587278
"Southeast Asian"	0.0587135
WIPO	0.0584299
inter-Korean	0.0582501
"Western European Union"	0.0581374
"African country"	0.0581044
"First Session"	0.0580771
ACP	0.057993
four-day	0.0579589
reform	0.0578238
Exposition	0.0577552
integration	0.0574731
Myanmar	0.0574317
ICC	0.0572416
"steering committee"	0.0571812
"Economic Community of West African States"	0.0571685
UMNO	0.0571206
Sino-Russian	0.0570549
"United Nations Conference on Trade and Development"	0.0570301
FAO	0.0565362
ministry	0.0561731
))
(aperitif (desc 1079.16) (sims
Beaujolais	0.124613
Riesling	0.110423
"white wine"	0.104209
Chianti	0.0991016
Margarita	0.0953633
"hot chocolate"	0.0912676
"sparkling wine"	0.0856218
lemonade	0.0838414
"iced tea"	0.0811324
"Chenin blanc"	0.0802307
merlot	0.0801903
"red wine"	0.0799093
Chardonnay	0.0784076
"interior decorator"	0.0755766
Cabernet	0.0751761
"Christmas gift"	0.0725893
sherbet	0.0725635
Martini	0.0685622
topper	0.0671634
"salad dressing"	0.066942
insulator	0.0668332
"oreo cookie"	0.0653104
"supper club"	0.0652292
nightgown	0.0651401
Zinfandel	0.0646345
paella	0.0636008
"Dom Perignon"	0.0635981
"round of golf"	0.0629458
Alsace	0.0625603
counterpoint	0.0623622
"piece of work"	0.061883
"afternoon tea"	0.0615949
Diageo	0.0610013
omelet	0.0608559
"ground cover"	0.0608004
smoothie	0.0607927
cheerio	0.060012
Thunderbird	0.0599829
"young lady"	0.0596688
accoutrement	0.059274
"soda pop"	0.0590463
Shaoxing	0.0586447
Cognac	0.058384
concoction	0.0583657
Kendall-Jackson	0.058064
Conde	0.0577114
Baccarat	0.0572237
"side dish"	0.0571063
quiche	0.056525
"vacation spot"	0.0563783
cappuccino	0.0560629
"root beer"	0.0558721
lycopene	0.0558506
espresso	0.0558325
"hook shot"	0.055801
"cup of tea"	0.0556428
EKG	0.0555517
"raw meat"	0.0555183
"instruction manual"	0.0548941
"chicken sandwich"	0.0547657
repast	0.0547079
potion	0.054101
fajitas	0.0524941
"Sauvignon blanc"	0.0523459
"cranberry juice"	0.0523331
"fringe benefit"	0.0521325
Igloo	0.0520697
"pass catcher"	0.0520293
ruffian	0.0517464
"investment company"	0.0516946
craftsman	0.0515959
"main course"	0.0514213
sherry	0.0512896
"break of serve"	0.0512271
"ball club"	0.0511685
flavoring	0.0510059
COBBLER	0.0509459
Fondue	0.0508394
subgenre	0.0507517
transformative	0.0505691
tasting	0.0504546
"spaghetti sauce"	0.0498661
omelette	0.0498305
"Pinot noir"	0.0497501
epigram	0.0496216
"opera star"	0.0496029
"evening bag"	0.0495288
Calvados	0.0493604
"wine cellar"	0.0492931
"life raft"	0.0488892
ergonomics	0.0485149
"object lesson"	0.0484183
"cream puff"	0.048317
"meteor shower"	0.0482951
appellation	0.0482423
"growing season"	0.0476122
Gallo	0.0475969
sorbet	0.0475475
"art teacher"	0.0471701
"animal disease"	0.0471646
"umbilical cord"	0.0471569
supper	0.0471526
"singing voice"	0.0470809
canape	0.0470096
antigen	0.0469897
"tissue paper"	0.0469861
pint	0.046818
sushi	0.04673
"snack food"	0.0466912
flavour	0.0466534
"turn of events"	0.04611
ale	0.0459548
lattes	0.0459536
"administration official"	0.0457962
craftsmanship	0.0456916
"pet food"	0.0456693
"alcoholic beverage"	0.0455887
Englishwoman	0.0454776
varietals	0.0454733
macaroni	0.0454129
experimenter	0.0453612
"Cabernet Sauvignon"	0.0452983
appetizer	0.0452707
"white bread"	0.0452316
tannin	0.0452017
paperweight	0.0449174
antiseptic	0.0448505
"won-lost record"	0.0448385
imposter	0.0448131
Esplanade	0.0445662
portraitist	0.0443834
buttermilk	0.0443283
"hot sauce"	0.0441616
tequila	0.0441087
"entitlement program"	0.0438969
Eureka	0.0438109
"Angelo Peruzzi"	0.0437737
"country house"	0.0437288
eateries	0.0436732
debater	0.043599
"role player"	0.0435866
tights	0.0435859
Sinhala	0.0435643
Irishman	0.0435107
antihistamine	0.0435045
Bostonian	0.0434748
condiment	0.0433117
lightbulb	0.043274
"card game"	0.0432088
"watering hole"	0.0431994
operetta	0.0431815
hyphen	0.0431761
mulch	0.0431753
Luna	0.043134
mezzo-soprano	0.0431115
settee	0.043099
Krasniqi	0.0430893
anachronism	0.0430774
Cepeda	0.0430703
Clothier	0.0429092
"exotic dancer"	0.0428798
nonentity	0.0428094
grappa	0.0427629
whiskey	0.0426892
impostor	0.0426514
widget	0.0424977
gotcha	0.0424582
"Christmas present"	0.04234
Tonic	0.0423242
whisky	0.0421043
"vanilla ice cream"	0.0420864
alternator	0.0420805
horseman	0.0420021
Souffle	0.0418855
melon	0.0417993
bloke	0.0417837
"frame of mind"	0.041674
aphrodisiac	0.0416722
up-front	0.0416594
"eye doctor"	0.0414495
"admission fee"	0.0413836
Moldovan	0.0413638
liqueur	0.0412524
marksman	0.041205
ism	0.0411694
Steakhouse	0.0411176
"Paolo Di Canio"	0.0411118
confection	0.0410557
Solis	0.0409772
crowd-pleaser	0.0408996
"fortune cookie"	0.040878
elixir	0.0408625
"adventure story"	0.0407986
readout	0.0407719
"civil engineer"	0.040711
agro-techniques	0.0406654
chowder	0.0406151
"ginger ale"	0.0405256
"Border collie"	0.0404775
"air filter"	0.0404643
))
(aperture (desc 1260.2) (sims
THAAD	0.0687332
incision	0.0677097
AWACS	0.0653662
"radio telescope"	0.0581775
secretion	0.0566734
Hubble	0.0550708
"Three and Four"	0.0543013
"oil slick"	0.0541653
"high frequency"	0.0533669
jamming	0.052666
inspectorate	0.0519987
cladding	0.0516083
Onyx	0.0478189
Chandra	0.0470577
Delacorte	0.0468403
inset	0.0467901
LCD	0.0466255
doggie	0.0452919
Boomerang	0.0439076
taskforce	0.0437631
"white line"	0.0428947
Gash	0.0427703
"rainbow trout"	0.0421578
NDA	0.04196
"fire control"	0.0418361
accoutrement	0.0415418
cabal	0.0411183
"ice crystal"	0.0406435
"pie shell"	0.0405823
"cargo area"	0.040525
spool	0.0404432
"Number @"	0.0403288
filler	0.0402212
polyp	0.0400681
))
(apex (desc 5149.77) (sims
pinnacle	0.100292
Zenith	0.100052
apotheosis	0.0724059
accoutrement	0.0658837
apogee	0.0640637
juncture	0.0627911
nadir	0.0625879
"Lahore High Court"	0.0504103
"all clear"	0.0500551
"first four years"	0.049989
fulcrum	0.0493587
locus	0.0483007
"Appellate Division"	0.0479417
"high-water mark"	0.047574
distillation	0.0469528
shortest	0.0458381
fruition	0.0455526
crossroad	0.0453936
intraday	0.0445992
ordinariness	0.0433081
"six billion"	0.0431098
"breaking point"	0.0431019
fullness	0.0430587
midpoint	0.0425893
cayman	0.0423514
rawness	0.0422614
forefront	0.0421347
twilight	0.0416332
pervasiveness	0.0413742
negation	0.0413284
underpinning	0.0412669
"first pole"	0.0410795
"first weekend"	0.0410726
culmination	0.0410623
lessening	0.0406642
inkling	0.0405114
agglomeration	0.0401161
))
(aphid (desc 2962.69) (sims
maggot	0.130935
flea	0.122945
termite	0.116587
locust	0.112926
insect	0.112209
pest	0.109574
crustacean	0.102411
cockroach	0.0967621
moth	0.0964135
mite	0.09615
spider	0.0952583
"fire ant"	0.0883144
beetle	0.0874656
rodent	0.0853438
mosquito	0.0846201
"fruit fly"	0.0828541
earthworm	0.0825595
pollen	0.0820799
geese	0.0816463
"rare bird"	0.0806668
grasshopper	0.0800551
humpback	0.0765989
mildew	0.0764515
borer	0.0761467
fungus	0.0757222
"right whale"	0.0743825
"sea otter"	0.0736186
microorganism	0.0736042
worm	0.0732764
"plant disease"	0.0727949
Bighorn	0.0725363
weed	0.0720889
ant	0.0713899
fungi	0.0707982
Lice	0.0702653
cormorant	0.0701229
larvae	0.0694825
snail	0.0693599
dander	0.0686538
"Bengal tiger"	0.0685518
shad	0.0684738
parasite	0.0679957
canker	0.0678435
rat	0.0678189
nematode	0.0674837
"sea horse"	0.0673466
otter	0.0668873
"gray whale"	0.0629543
kudzu	0.0625793
mould	0.0624509
mice	0.0615662
"animal disease"	0.0614173
"sea turtle"	0.06074
"domestic animal"	0.0606075
algae	0.0600782
hominid	0.0594427
critters	0.0585309
mussel	0.0578664
bee	0.0572476
leech	0.0569491
acorn	0.0565419
hyacinth	0.0565295
"monarch butterfly"	0.0564717
Milkweed	0.0561079
waterfowl	0.0559519
lizard	0.0558833
"six billion"	0.055639
"minke whale"	0.0554677
orangutan	0.0554132
"sea cucumber"	0.055233
microbe	0.0551255
"black bear"	0.0548689
weevil	0.0547995
hippo	0.0547021
tern	0.0539419
scorpion	0.0538026
snowflake	0.0535557
"Homo erectus"	0.0533106
rattlesnake	0.0533105
"horseshoe crab"	0.0525316
lemur	0.0523741
plankton	0.0511439
WASP	0.0508051
giardia	0.0505101
mammal	0.0501428
anemone	0.0501371
blackbird	0.0501368
peregrine	0.049876
lint	0.049791
songbird	0.0496903
feces	0.0496485
U-boat	0.0496052
rhinoceros	0.0495461
"flowering plant"	0.0494913
kangaroo	0.0490928
organism	0.048905
unionization	0.0488578
Roach	0.0488104
fuzz	0.0486845
spore	0.0484823
sturgeon	0.0483917
"six million"	0.048222
"mountain gorilla"	0.0481713
deer	0.0481434
"blue crab"	0.0481422
Webdale	0.047637
"John Deere"	0.0475176
infestation	0.047289
turtle	0.0472643
"more than @.@ billion"	0.046843
KIMCHI	0.0466072
"nine million"	0.0465186
rustler	0.0461375
"farm animal"	0.0461094
abalone	0.0458718
crocodile	0.0457447
"water hyacinth"	0.0455751
"killer whale"	0.0455341
"hundred thousand"	0.0455227
croaker	0.0449189
amphibian	0.0448917
shellfish	0.044767
panda	0.0445579
pigeon	0.0443388
clotting	0.0438261
grub	0.0436426
"prairie dog"	0.0435219
Vulture	0.0435157
peacock	0.0435
porpoise	0.0434932
Athenian	0.0434251
rhino	0.043393
bootlegger	0.0433742
"cancer cell"	0.043241
antelope	0.0432354
cryptosporidium	0.0432174
Lithuanians	0.0431691
smooch	0.0430747
sandstorm	0.0430716
ladybug	0.0429519
beekeeper	0.0428733
"Four million"	0.0427343
vegetation	0.0426076
hen	0.0425237
mollusk	0.0425099
vertebrate	0.042469
baboon	0.0424546
invertebrate	0.0424317
"Love Bug"	0.0424145
dragonfly	0.042309
scum	0.04225
"steam locomotive"	0.0422376
"evil spirit"	0.04211
bluebird	0.04199
frog	0.0419477
MIAs	0.0419304
"less than @@,@@@"	0.0418901
squirrel	0.0418844
Wahhabis	0.041869
serviceman	0.0418526
slime	0.0415863
"giant panda"	0.0415417
laundering	0.0415325
"three million"	0.0414747
"eight million"	0.0412522
carnivore	0.0410486
trachoma	0.0409219
critter	0.0408184
corrosion	0.0407944
matzoh	0.0406761
"T cell"	0.0405344
Wheaties	0.040481
"humpback whale"	0.0404293
sharpshooter	0.0401353
sparrow	0.0400211
disinvestment	0.0400181
))
(aphorism (desc 2738.68) (sims
axiom	0.106325
proverb	0.0907803
maxim	0.0905725
epigram	0.0874494
Truism	0.0838334
adage	0.0811456
"piece of music"	0.0790699
"musical group"	0.0706799
platitude	0.0641149
homily	0.0600508
bogeyman	0.0590871
"pirate ship"	0.0570555
gibe	0.0569838
verity	0.0566556
"computer language"	0.0559259
"parlor game"	0.0551429
cliche	0.0547502
slang	0.0547358
moniker	0.053985
boilerplate	0.0527648
dictum	0.0526574
"off-speed pitch"	0.0517357
"Hail Mary"	0.0517221
"shell game"	0.0512348
Ruehe	0.051173
"man of letters"	0.0506927
feistiness	0.0506884
couplet	0.0506741
gadgetry	0.0503476
witticism	0.0501705
"TV dinner"	0.0488883
anecdote	0.0485677
ditty	0.0480945
"watering hole"	0.0480227
"tone of voice"	0.0479272
archetype	0.047695
avocation	0.0474991
"period piece"	0.0473645
bugaboo	0.046627
"flowering plant"	0.046388
"bed sheet"	0.0463389
wisecrack	0.0462021
"adventure story"	0.0461616
ventriloquist	0.0460323
warhorse	0.0459346
buzzword	0.0458981
"utility program"	0.0457816
adjective	0.0455111
zingers	0.0451201
Irishmen	0.0447636
"extension cord"	0.0445478
"Volkswagen Beetle"	0.0444481
anticlimax	0.0443498
"film clip"	0.0442728
repartee	0.0440145
"tool kit"	0.0439037
archway	0.0432796
Airstream	0.043022
gizmo	0.0429247
"country house"	0.0428778
sobriquet	0.0428586
one-liner	0.0428098
Lullaby	0.0423684
oldies	0.0422474
factoids	0.0421041
motto	0.0420041
jingle	0.0419593
Jayakumar	0.0418781
condiment	0.0418647
fable	0.0417798
groupie	0.041746
confection	0.0416772
"guessing game"	0.0415951
Xanana	0.0415103
"official document"	0.0413764
celebs	0.0413745
gibberish	0.0412257
swashbuckler	0.0411699
humorist	0.0411517
riff	0.0411489
scriptwriter	0.0411367
portables	0.0410303
typeface	0.0409363
conundrum	0.0409322
mantra	0.0409267
euphemism	0.0408696
asides	0.0408115
"three pitchers"	0.040672
"tag line"	0.0405285
hangout	0.0404839
incantation	0.0404137
curmudgeon	0.0403255
canard	0.0402994
"Little Dog"	0.0402866
portraitist	0.0402782
credo	0.0402036
))
(aphrodisiac (desc 2604.73) (sims
stimulant	0.098795
laxative	0.0901882
tranquilizer	0.0846424
sedative	0.0697141
"safety valve"	0.0669526
"sounding board"	0.0662792
"battering ram"	0.0662058
accoutrement	0.0638376
"base of operations"	0.0634937
"measuring stick"	0.0614698
inhibitor	0.0608519
contraceptive	0.0607425
antioxidant	0.0606298
yardstick	0.0604687
"food additive"	0.0595857
insulator	0.0592117
"sleeping pill"	0.0590056
copout	0.057392
motivator	0.0563044
distillation	0.05406
reagent	0.0537198
ephedra	0.0533633
Tonic	0.0533231
synonym	0.0533052
painkiller	0.0532897
elixir	0.0531274
indulgence	0.0528448
carcinogen	0.0528432
sweetener	0.0528075
coolant	0.0521515
anesthetic	0.0514223
"rallying point"	0.050811
panacea	0.0506139
additive	0.0501225
potion	0.0483492
"role player"	0.0482899
"cash cow"	0.0481343
solvent	0.0472875
diuretic	0.0468471
"reference point"	0.0468306
"safety feature"	0.0468198
steppingstone	0.0466969
"takeover target"	0.0465724
birthright	0.0461134
"proving ground"	0.0460271
lifesaver	0.045898
insecticide	0.0455075
"gefilte fish"	0.0452874
identifier	0.0448267
perquisite	0.0446753
"hunting ground"	0.0446411
"strong point"	0.0443276
"test case"	0.0440207
"shock therapy"	0.0438572
"trump card"	0.0433531
"airplane ticket"	0.0433024
lever	0.0432576
radiance	0.0431827
"femme fatale"	0.0425969
"personal relation"	0.0424084
antihistamine	0.0423341
crowd-pleaser	0.0419232
sedation	0.0418582
aperitif	0.0416722
"smoke screen"	0.0415725
"bargaining chip"	0.0415251
incubator	0.0415219
oscillation	0.0415068
wonk	0.0414336
"meeting place"	0.0408949
"cup of tea"	0.0408883
concoction	0.0407752
enhancers	0.0406017
smokescreen	0.0404783
opiate	0.0404127
preservative	0.0402946
iconoclasm	0.0402855
ointment	0.0402549
REPELLENT	0.0402362
proxy	0.0402234
"stepping stone"	0.0402198
"storage device"	0.0401378
"staging area"	0.0401094
"waiting game"	0.0400192
))
(API (desc 1761.13) (sims
lastest	0.125632
"U.S. Census Bureau"	0.116089
"El Mundo"	0.113879
SSB	0.113453
"Yomiuri Shimbun"	0.0995362
"El Pais"	0.097749
"Australian Bureau of Statistics"	0.0946143
ISTAT	0.0941237
Sowetan	0.0937479
"Nihon Keizai Shimbun"	0.0928464
"Business Times"	0.0914967
"Straits Times"	0.0897676
"Nihon Keizai"	0.0888544
Hurriyet	0.0882366
"New Nigerian"	0.0863925
Inquirer	0.0861107
"American Petroleum Institute"	0.0856045
electrocardiogram	0.0851459
L'Equipe	0.0828712
"Business Day"	0.0826689
Tankan	0.0815644
IEA	0.0797992
"U.S. Agriculture Department"	0.0795828
"Statistics Canada"	0.0793999
Izvestia	0.0787144
"Daily Times"	0.077696
"Alam Al Yom"	0.077483
"Ghana News Agency"	0.0772071
EOHR	0.0769412
Eurostat	0.0767388
"The Monitor"	0.0766352
CTV	0.0765719
"weather satellite"	0.076485
TDB	0.0755388
"U.S. Commerce Department"	0.0753693
ISO@@@@	0.075061
Antara	0.0734574
"State Statistical Bureau"	0.0733164
"Kenya Times"	0.0730984
"Kyodo News Service"	0.0723847
Maariv	0.0723758
"United Press International"	0.0719562
ABS-CBN	0.0719465
Granma	0.0715795
"Al Ahram"	0.0711889
"Nielsen Media Research"	0.0711869
"Tehran Times"	0.0704858
"Post Express"	0.0702967
"Nhan Dan"	0.0699641
"College Board"	0.0696086
WAM	0.0695273
"Saudi Press Agency"	0.069203
"U.S. Labor Department"	0.0689281
"East African Standard"	0.0688473
Notimex	0.0688291
"Agence France Presse"	0.0686594
"Iran News"	0.0685662
"Khaleej Times"	0.0680211
"Asahi Shimbun"	0.0679698
"Evening Standard"	0.0675925
MTI	0.0672809
"Seattle Times"	0.0671479
"Bank of Israel"	0.0667141
pH	0.0666563
bop	0.0663428
Forrester	0.0662443
"producer price"	0.0661232
"Bank of Italy"	0.0660603
"Vietnam News"	0.0655841
"Yediot Ahronot"	0.0655349
odometer	0.065279
altimeter	0.0652116
BOJ	0.065102
"National Research Council"	0.0646281
"Daily Nation"	0.0644872
Rudman	0.0640707
Politika	0.0639079
ITC	0.0638707
CPI	0.0631368
"Health and Welfare Ministry"	0.062642
"Commerce Ministry"	0.0625817
Asahi	0.0623605
"neutron bomb"	0.0623571
PPI	0.061775
CBK	0.0617259
"Philippine News Agency"	0.0616577
AOC	0.0611102
radioactivity	0.0609715
"Census Bureau"	0.060842
Lancet	0.0606957
"Indonesian Observer"	0.0606328
Salam	0.0603755
"International Management Group"	0.0603254
STI	0.0599948
"Sydney Morning Herald"	0.0599514
Jana	0.0597442
"Producer Price Index"	0.0596677
Reforma	0.0596571
"Ethiopian Herald"	0.0596416
"Conference Board"	0.0594278
Al-Ahram	0.0593401
"Department of Commerce"	0.0591889
"Radio Uganda"	0.0589544
"La Bella"	0.0588814
tailwind	0.0588521
RSS	0.0587154
Haaretz	0.0587021
PSA	0.0584226
"Macao Daily News"	0.0583967
BS	0.0581558
"Agriculture Department"	0.0580894
"Egyptian Gazette"	0.0580578
AAA	0.0579022
"New Vision"	0.0578799
SDPC	0.0577109
"Kuwait News Agency"	0.0575651
Arens	0.057519
Juma	0.0574387
"National Association of Realtors"	0.0572649
"U.S. government"	0.0572194
second-quarter	0.0571852
"Beijing Daily"	0.0568843
al-Hayat	0.0568432
"Detroit Free Press"	0.0568229
ridership	0.0560889
Kommersant	0.0559948
Noticias	0.055904
Spiegel	0.0557896
CBO	0.0556583
"Kathmandu Post"	0.055541
IDC	0.0554972
"Common Cause"	0.0554724
"Washington Times"	0.0553837
Lusa	0.0551331
"Media Partners"	0.055063
"Federal Election Commission"	0.0550137
"Transportation Department"	0.0549063
"news bulletin"	0.0549061
USDA	0.0547349
"Cyprus News Agency"	0.0546247
"Le Monde"	0.0545716
"U.S. Treasury Department"	0.0545097
Post-Intelligencer	0.0544065
"Media Metrix"	0.0542989
Bild	0.054073
INEC	0.0539557
Tsvangirai	0.0538453
eighth-grade	0.053824
third-grade	0.0538199
"Bangkok Post"	0.0536714
PCB	0.0536579
ATA	0.0534796
AMF	0.0534297
third-quarter	0.0534282
"Census and Statistics Department"	0.0533876
"Kyodo News"	0.0531857
Patten	0.0531684
meatpackers	0.0529516
"export sale"	0.0527242
thermometer	0.0527063
"blood pressure"	0.0526635
"Congressional Research Service"	0.0526202
"Economic Daily"	0.0525459
Nielsen	0.0524858
"gross income"	0.0522099
"Human Rights Watch"	0.0520643
"National Weather Service"	0.0520188
"Census @@@@"	0.0519887
Ansa	0.0517853
"The New Vision"	0.0517684
M.A	0.051746
"Moscow Times"	0.0516861
HHS	0.0514701
RPI	0.0514509
"production ceiling"	0.0514044
"Southern African Broadcasting Association"	0.0511903
glucose	0.0511489
ozone	0.0510648
"PC Data"	0.0509536
"Jerusalem Post"	0.0509086
KPL	0.0508307
"Al Hayat"	0.0507712
"Der Spiegel"	0.0506841
"press agency"	0.0506791
"Ask Jeeves"	0.0506783
"Advanced Micro"	0.0506296
McDonough	0.0505039
Yomiuri	0.0504848
"key rate"	0.0504728
NRC	0.0499973
"Institute of Medicine"	0.049858
"audio CD"	0.0497229
ILO	0.0496955
"Airport Authority"	0.0496763
"FTSE @@@"	0.0496383
CMG	0.0495764
NCI	0.0494914
"Wen Wei Po"	0.0494884
"Federal Reserve Bank"	0.0493144
AHA	0.0492887
))
(aplenty (desc 4857.66) (sims
catharsis	0.0464532
"tax advantage"	0.0451747
"great deal"	0.0448364
))
(aplomb (desc 5877.58) (sims
Panache	0.122546
composure	0.0904762
gusto	0.086792
precision	0.0806231
flair	0.078877
dignity	0.0750538
graciousness	0.0739473
nonchalance	0.0723024
modesty	0.0720187
agility	0.0719953
finesse	0.0707602
nimbleness	0.0683822
humility	0.0678046
equanimity	0.0675239
professionalism	0.0674187
stoicism	0.067316
verve	0.0665204
dexterity	0.0662126
elegance	0.0652387
fluency	0.0626007
glee	0.0622165
elan	0.0621542
ferocity	0.0621437
bluntness	0.0620134
understatement	0.0603221
bravado	0.059933
casualness	0.0597569
tenacity	0.0596632
decorum	0.0594935
courage	0.059312
brio	0.0590305
"sense of humor"	0.0589503
grit	0.0588337
pizazz	0.0582598
wit	0.0576085
candor	0.0571465
naturalness	0.0563629
"good humor"	0.055536
charisma	0.0554981
eloquence	0.0551251
restraint	0.0550446
tact	0.0545573
erudition	0.054202
vigor	0.0539637
prudence	0.0537804
"straight face"	0.0535514
zeal	0.0531455
"great care"	0.0523844
sophistication	0.0516681
frankness	0.0514434
calmness	0.0513214
firmness	0.0511724
sincerity	0.0508815
acumen	0.0507843
generosity	0.0498372
patience	0.0495286
stamina	0.0493423
boldness	0.0489815
seriousness	0.0482669
persistence	0.0482302
fortitude	0.0481392
reverence	0.047518
"sense of purpose"	0.0471594
swagger	0.0470762
spunk	0.0468316
skewering	0.0466228
gentleness	0.0465987
subtlety	0.0464354
dedication	0.0463174
originality	0.04584
serenity	0.0457872
self-control	0.0455841
virtuosity	0.045482
foresight	0.0451524
ingenuity	0.0451412
ebullience	0.0446022
tenderness	0.0444453
resourcefulness	0.0444353
simplicity	0.0443925
insouciance	0.0443449
athleticism	0.0442636
earnestness	0.0440443
fervor	0.043962
competence	0.0438078
smirk	0.0437257
mettle	0.043542
fearlessness	0.0426786
teamwork	0.0425259
guile	0.0424219
self-confidence	0.0423892
urbanity	0.0420812
forbearance	0.0420334
oomph	0.0420018
gumption	0.041929
epiphany	0.0418205
lightness	0.0417788
cockiness	0.0417526
astonishment	0.0416673
clarity	0.0416268
pathos	0.0414532
propriety	0.0413473
consistency	0.0413405
demeanor	0.0413218
impunity	0.0408626
warmth	0.0407049
adaptability	0.0406144
honesty	0.0404854
sarcasm	0.0404799
perseverance	0.0404077
discretion	0.040311
))
(apnea (desc 1997.65) (sims
narcolepsy	0.295962
"Parkinson's disease"	0.171759
osteoarthritis	0.161426
Parkinson's	0.155658
"cystic fibrosis"	0.153554
ADHD	0.151962
dementia	0.150935
hypertension	0.148685
"rheumatoid arthritis"	0.147458
fibrillation	0.146844
autism	0.144525
Osteoporosis	0.140477
jaundice	0.13748
epilepsy	0.137436
asthma	0.136476
lupus	0.1348
acne	0.128892
hemophilia	0.124201
als	0.12068
arrhythmia	0.119277
nearsightedness	0.117381
syndrome	0.115956
schizophrenia	0.114799
disorder	0.113434
glaucoma	0.113178
anemia	0.112372
migraine	0.109975
"multiple sclerosis"	0.109884
"liver disease"	0.109687
"lead poisoning"	0.10925
ulcer	0.108897
Alzheimer	0.107818
allergy	0.107473
diabetes	0.105315
"hay fever"	0.10503
hepatitis	0.104792
psoriasis	0.103341
"heart disease"	0.10297
arthritis	0.102242
cataract	0.102078
"mental disorder"	0.102008
bifida	0.101162
leprosy	0.0992661
leukemia	0.0974599
"Type @"	0.0967975
"dog bite"	0.0941517
CJD	0.0935275
pneumonia	0.0921088
insomnia	0.0916889
"skin cancer"	0.0910862
dysfunction	0.0901089
"memory loss"	0.0900033
dyslexia	0.0898156
"common cold"	0.089308
atherosclerosis	0.0892623
"Lyme disease"	0.089235
anorexia	0.0890735
"bipolar disorder"	0.0888982
reflux	0.0885817
bronchitis	0.0883597
"heart failure"	0.0881245
angina	0.0875519
"mental illness"	0.086593
Psychosis	0.0855371
"congestive heart failure"	0.0853852
"cardiovascular disease"	0.0853387
dehydration	0.0850048
infertility	0.0849864
myeloma	0.0845456
"high blood pressure"	0.0843501
"cerebral palsy"	0.0842201
"food poisoning"	0.0837467
heartburn	0.0836486
incontinence	0.0823647
malformation	0.0819134
"respiratory disease"	0.0816392
impotence	0.0798646
retardation	0.0782594
"heart condition"	0.0775657
"back pain"	0.0773195
Obesity	0.0772775
Hantavirus	0.0772078
Dengue	0.0760628
paralysis	0.0754267
"colon cancer"	0.0754054
degeneration	0.0751719
syphilis	0.0749372
relapse	0.0745958
sedation	0.074572
whiplash	0.074505
"kidney disease"	0.0743757
"eye disease"	0.0742755
"acquired immune deficiency syndrome"	0.0742555
"heart attack"	0.0740165
influenza	0.0734167
ailment	0.073005
"dengue fever"	0.0728956
frostbite	0.0724912
emphysema	0.0715464
"hepatitis B"	0.0714425
heartbeat	0.0712582
"manic depression"	0.0704998
botulism	0.069818
"heat exhaustion"	0.0697743
malignancy	0.0694946
melanoma	0.0694424
indigestion	0.0687873
"morning sickness"	0.0686862
impairment	0.0682451
"drug addiction"	0.0676982
"hot flash"	0.0675721
concussion	0.067217
diarrhea	0.0669768
disorientation	0.0668368
Rabies	0.0667528
deficiency	0.0664809
flu	0.0658296
diarrhoea	0.0658227
"sexually transmitted disease"	0.0648348
Sleepwalking	0.0640905
"La Nina"	0.0640497
encephalitis	0.0636528
hyperactivity	0.0636486
phobia	0.0635804
Tb	0.0633988
hypothermia	0.0631635
"lung cancer"	0.0631168
typhoid	0.0625992
Burnout	0.0617534
"brain tumor"	0.0616982
"tooth decay"	0.0605947
hernia	0.0604288
Meningitis	0.0602274
"heroin addiction"	0.0601243
tuberculosis	0.0594854
wasting	0.0593799
Lyme	0.0593313
lymphoma	0.0593056
bulimia	0.0591739
clot	0.059054
deprivation	0.0588563
Chlamydia	0.0587829
toxicity	0.0587785
LASIK	0.0587303
"West Nile"	0.0587005
inhalation	0.0584502
"alcohol abuse"	0.0582928
malaria	0.0577233
"asthma attack"	0.057693
herpes	0.0575554
sinus	0.057375
sickness	0.0573406
Alcoholism	0.0570803
prostate	0.0569128
overdose	0.0567606
abnormality	0.0566474
"anxiety disorder"	0.0564437
constipation	0.0562971
"cold wave"	0.056265
"malignant tumor"	0.0561361
deafness	0.0559754
Addiction	0.0558483
cholera	0.0557707
shyness	0.05514
"chest pain"	0.0550192
"contagious disease"	0.0544809
trachoma	0.0543358
"HIV/ AIDS"	0.0541723
eb	0.0538984
"neurological disorder"	0.0537717
infestation	0.0532257
"blood pressure"	0.0532135
abscess	0.0531844
poisoning	0.0529743
encephalopathy	0.0523876
malnutrition	0.0521285
polygraph	0.0518057
thyroid	0.0517626
condensation	0.0516567
"four to six"	0.0514688
subsidence	0.0513408
wastewater	0.0513319
adulteration	0.051067
sickle	0.0510473
"genetic disease"	0.0509569
radium	0.0508248
myopia	0.0505627
"plant disease"	0.0505212
STD	0.0503722
"water pollution"	0.0499747
"skin rash"	0.0498289
hangover	0.0497749
baldness	0.0495314
vomiting	0.0492974
nausea	0.0492903
"kidney stone"	0.0492482
stomachache	0.0492081
deformity	0.0491291
cirrhosis	0.0490014
"neurological disease"	0.048858
))
(apocalypse (desc 7882.47) (sims
doom	0.105628
cataclysm	0.0957662
Armageddon	0.094888
catastrophe	0.0798422
Goodfellas	0.0797237
shakeout	0.0772737
deliverance	0.0732457
calamity	0.0698032
self-destruction	0.0668213
meltdown	0.066207
"market correction"	0.0660359
deflation	0.0626404
upheaval	0.0624062
disintegration	0.0617672
demise	0.0610666
"volcanic eruption"	0.0596714
anarchy	0.0574857
renaissance	0.0574695
damnation	0.0567287
"leap year"	0.0566718
"ice age"	0.0557602
eruption	0.0541882
salvation	0.0541269
upturn	0.053754
"Second Coming"	0.0535169
reformation	0.0530902
"interest rate increase"	0.0530769
foul-up	0.0530633
conflagration	0.0529948
chaos	0.0528544
"nervous breakdown"	0.0525531
"bear market"	0.0523898
extinction	0.0523833
doomsday	0.0523572
stardom	0.0522081
"rate rise"	0.0513392
"arms race"	0.051081
bloodbath	0.0510325
recession	0.0503913
"chicken run"	0.0502887
obsolescence	0.0502372
"day of reckoning"	0.0501518
starvation	0.0499982
annihilation	0.0498528
ferment	0.0497933
slowdown	0.0496173
"brain drain"	0.0495136
breakup	0.0495062
"solar eclipse"	0.0493065
blowout	0.0492405
"rate hike"	0.0491842
"Natural Born Killers"	0.0487689
epiphany	0.0487353
shake-up	0.0486057
gridlock	0.0484826
nightmare	0.0484395
Exorcist	0.0479333
carnage	0.0474511
afterlife	0.0473235
renewal	0.0472434
Tootsie	0.0470588
"Year @@@@"	0.0469125
eviction	0.046885
tsunami	0.0468758
"tidal wave"	0.0466919
downfall	0.0466813
realignment	0.0464343
prophecy	0.0464068
brinksmanship	0.0462669
schism	0.0462231
deluge	0.0460537
famine	0.0458882
"hard times"	0.0458301
exodus	0.0457919
breakthrough	0.0457745
"job cut"	0.0457664
Awakening	0.0454352
"Opium War"	0.0450092
glut	0.0449907
healing	0.0447995
backlash	0.0447145
devastation	0.0446503
Stigmata	0.0446152
escalation	0.0444302
holocaust	0.0443962
"rainy season"	0.0443752
breakdown	0.0443517
"price war"	0.0442547
"Mighty Joe Young"	0.0440485
"Jurassic Park"	0.0440292
shakeup	0.0439714
entrapment	0.0439516
mutilation	0.0438334
reshuffle	0.0437898
rebirth	0.0435976
reversal	0.0435219
cross-fertilization	0.0433341
utopia	0.0432078
Burnout	0.0432027
relapse	0.0431323
horror	0.0430795
shutdown	0.0427497
"Big Bang"	0.0426662
breakout	0.0426596
"public speaking"	0.0425909
epidemic	0.0425525
redemption	0.0423498
mayhem	0.0423264
unrest	0.0422871
turnaround	0.0421377
shortfall	0.042094
"management change"	0.0420936
"Night Fever"	0.0419306
puberty	0.0418262
flare-up	0.0417321
insolvency	0.0412441
nirvana	0.0412103
vandalism	0.0411648
scarcity	0.0411528
peril	0.0410108
Terminator	0.0409551
transcendence	0.0409241
demotion	0.0409107
"chain reaction"	0.0408924
"Subway Series"	0.0408869
changeover	0.0407975
martyrdom	0.0406646
"bankruptcy filing"	0.0406283
resurrection	0.0405509
"Primary Colors"	0.0404939
saturation	0.0404825
downturn	0.0403912
bonding	0.0403837
"dry season"	0.0403091
destabilization	0.0402529
disruption	0.0402465
rollovers	0.0400939
"Economic and Monetary Union"	0.0400563
))
(apogee (desc 2125.34) (sims
perigee	0.162053
solstice	0.141829
Zenith	0.0988632
"full moon"	0.0829769
apex	0.0640637
"six billion"	0.0609379
"high-water mark"	0.0558816
nadir	0.0548309
CAC	0.0547174
fruition	0.0543581
intraday	0.0471878
"CAC @@"	0.0458902
"seventh year"	0.0456104
accoutrement	0.0445984
apotheosis	0.0444785
hardness	0.0435785
"seven billion yuan"	0.0431013
"finishing line"	0.0430569
"Champs Elysees"	0.0429339
Sorbonne	0.0426705
"New York City Opera"	0.0426613
crescendo	0.0423644
Seine	0.0418648
skewering	0.0412611
"dance floor"	0.0411482
confluence	0.0409736
"nose dive"	0.0406141
oration	0.0405764
"Museum of Natural History"	0.0403691
equilibrium	0.040121
))
(Apollo (desc 15232.6) (sims
Atlantis	0.105064
GEMINI	0.100964
endeavour	0.0867298
shuttle	0.0797859
astronaut	0.0777614
"Delta @"	0.0709638
PATHFINDER	0.0657839
Titanic	0.06114
"Forrest Gump"	0.0588907
"Opium War"	0.0588335
spacecraft	0.0576072
Columbia	0.0573841
"Polar Lander"	0.0539285
"Apollo Theater"	0.0539141
"Deep Impact"	0.0527524
"space station"	0.0516756
Tootsie	0.0516029
Mir	0.0506317
Zeus	0.0500328
"English Patient"	0.0491713
spaceship	0.0480192
Sputnik	0.0478428
"Mars Climate Orbiter"	0.0475915
Mars	0.0462891
Glenn	0.0461008
"Jurassic Park"	0.0460754
"Saving Private Ryan"	0.045833
Gladiator	0.0450289
"Operation Desert Storm"	0.0447831
mercury	0.0445018
"Long March"	0.0443176
"University of New Hampshire"	0.0441868
Mulan	0.0434375
cosmonaut	0.0432052
X-@@	0.0428713
"space capsule"	0.0428008
Orbiter	0.0426847
"L.A Confidential"	0.0423582
NASA	0.0421462
Lander	0.0412254
"Mars Polar Lander"	0.0409042
Hercules	0.0408762
interceptor	0.0408252
"Pulp Fiction"	0.0407011
"Dartmouth College"	0.040387
))
("Apollo Theater" (desc 1865.35) (sims
"University of New Hampshire"	0.119872
"Riverside Church"	0.116291
"Lambeth Conference"	0.104412
"Jewish Museum"	0.102042
"Dartmouth College"	0.0965018
"U.N. Headquarters"	0.0957941
"Polo Grounds"	0.095283
"Waldorf-Astoria Hotel"	0.0948944
"Lincoln Center Festival"	0.0925962
"P.S @@@"	0.0921723
"farmer's market"	0.0839879
"Arizona State University"	0.0835
"Plaza Hotel"	0.0829714
"Guggenheim Museum"	0.0758219
"Carnegie Hall"	0.0733308
"Radio City Music Hall"	0.0722713
Bund	0.0722192
"Memorial Sloan-Kettering Cancer Center"	0.0717516
"Museum of Natural History"	0.0713871
"Rockefeller University"	0.0710671
Barrio	0.0693783
"Cooper Union"	0.069297
"Fashion Week"	0.0683205
"Mount Sinai Medical Center"	0.0675847
"John F. Kennedy International Airport"	0.0670391
"Avery Fisher Hall"	0.0661345
"Solomon R. Guggenheim Museum"	0.0642329
"Maple Leaf Gardens"	0.0640816
"Salomon Brothers"	0.0631172
"Barnard College"	0.0625896
"World Trade Center"	0.0622679
"Metropolitan Opera House"	0.0622143
"Millrose Games"	0.0620521
"Museum of Modern Art"	0.0615921
"Juilliard School"	0.0614562
"school of music"	0.0614551
"Brandenburg Gate"	0.0613232
"Millennium Dome"	0.0611787
"Grand Central Terminal"	0.0611342
"Longwood Cricket Club"	0.0610697
"City College"	0.0610377
"Eastern Airlines"	0.0603562
"Kyle Field"	0.0601872
"child welfare agency"	0.0601816
"Mount Sinai Hospital"	0.0594592
"pizza parlor"	0.0593361
"Metropolitan Opera"	0.0593079
"Bank of Japan Ltd."	0.0587146
"Sheraton Hotel"	0.0584543
"Whitney Museum of American Art"	0.0582002
"political boss"	0.0578247
"Omnicom Group"	0.0575577
"Public School @@"	0.0573684
"National Theater"	0.0571378
"jewelry store"	0.0563848
"Shrine Auditorium"	0.0563351
"Wake Forest University"	0.0563165
"Seasons Hotel"	0.0561567
"Hunter College"	0.0557039
"Long March"	0.0555433
"La Guardia Airport"	0.0555359
"liquor store"	0.0553129
"Edward R. Murrow"	0.0545294
"Joe Louis Arena"	0.0542226
"Bankers Trust Corp."	0.0541422
Roxy	0.0540142
Apollo	0.0539141
"Public School @@@"	0.0535921
"Silicon Alley"	0.0533093
Pir	0.0529651
Belfry	0.0528915
LaGuardia	0.0525648
"Film Forum"	0.0520353
"American Museum of Natural History"	0.0519976
"University of Massachusetts"	0.0519594
"Kennedy International Airport"	0.0518922
"Independence Party"	0.0517454
"RFK Stadium"	0.0514289
nightspot	0.0514061
"main office"	0.0513765
"parochial school"	0.050613
"Ellis Island"	0.0501974
"Tiger Stadium"	0.0498597
"Fordham University"	0.0497552
"Miami Arena"	0.0495878
"Penn Station"	0.0494771
"Silk Road"	0.0493291
"Royal National Theater"	0.0492338
"supper club"	0.049023
"Bell Labs"	0.0489778
"Radio City"	0.048833
"Metropolitan Museum"	0.0487981
"Brooklyn Academy of Music"	0.048727
"Mather Worldwide"	0.0484747
"Soldier Field"	0.0476803
"Freedom Forum"	0.0476506
Waldorf-Astoria	0.0476336
"Episcopal Church"	0.0473113
"Beijing University"	0.0472823
"Kennedy Airport"	0.0469814
pick-and-roll	0.0469368
"Iowa State University"	0.0467879
"law practice"	0.0466029
"Legal Aid Society"	0.0464953
"Summer Palace"	0.0464403
"U.N. Millennium Summit"	0.0461358
"Old Course"	0.0455138
"Wembley Stadium"	0.0455009
"Space Needle"	0.0454904
"National Tennis Center"	0.0454771
"Studio @@"	0.0454349
"Metropolitan Museum of Art"	0.0451306
Macworld	0.0451203
Sherwood	0.0447093
"Whitney Museum"	0.0446975
"Rivers Stadium"	0.0446803
"Cotton Bowl"	0.0445961
"Civic Arena"	0.0445213
"Hamlet Cup"	0.0444162
"clothing store"	0.0443664
"Museum of Contemporary Art"	0.044321
"slave ship"	0.044298
"Asia Society"	0.0442661
Reichstag	0.0440957
"John F. Kennedy Library"	0.0440164
"International Rescue Committee"	0.0439355
"Washington University"	0.0438438
"University of Rochester"	0.04381
"National Press Club"	0.0436935
"Covent Garden"	0.0431778
Brasserie	0.0431378
"Chase Manhattan Bank"	0.0427032
"butcher shop"	0.0426801
"Passion play"	0.0425427
brownstone	0.0422797
"Potala Palace"	0.0421377
"carriage house"	0.0421338
"music school"	0.0419396
"Lijiang River"	0.0419359
newswoman	0.0418182
"three schools"	0.0414977
bullfighter	0.0413914
"MCI Center"	0.0413875
"RCA Dome"	0.0412992
"Donaldson, Lufkin &AMP; Jenrette"	0.0408635
"Coney Island"	0.0407829
"opera company"	0.0407366
"X Games"	0.0406659
"Rockefeller Center"	0.0405797
"navy yard"	0.0404815
"BancBoston Robertson Stephens"	0.040445
"Tate Gallery"	0.0401199
"non-performing loans"	0.0400074
))
(apologist (desc 5420.05) (sims
"fall guy"	0.0833848
speechwriter	0.0668911
monarchist	0.0629292
"important person"	0.0623279
"attack dog"	0.0604485
"guardian angel"	0.0598145
admirer	0.0589601
isolationist	0.0577601
surrogate	0.0576842
"sounding board"	0.0548093
cheerleader	0.0546908
"center of attention"	0.0546371
ideologue	0.0543128
"traffic cop"	0.0533048
"big leaguer"	0.0523511
figurehead	0.0520715
hater	0.0510424
loyalist	0.050629
matchmaker	0.0500619
protector	0.0499697
"good person"	0.049965
spokesmen	0.04973
traitor	0.0495597
go-between	0.0494433
pacifist	0.0492897
proponent	0.0491451
"campaign adviser"	0.0489788
mouthpiece	0.0488066
bigot	0.0483463
zealot	0.0483296
gatekeeper	0.0475773
troubleshooter	0.0463557
accuser	0.0462842
"black person"	0.0460865
"safety valve"	0.0460811
sympathizer	0.0460456
"proving ground"	0.0451777
carpetbagger	0.0450931
ogre	0.0450348
lackey	0.0449016
"morale booster"	0.0445875
outdoorsman	0.0444389
secularist	0.0442606
operative	0.0440638
opportunist	0.0440309
skeptic	0.0439176
Marxist	0.0438597
evangelist	0.0437055
emissary	0.0436607
"altar boy"	0.0436307
pundit	0.0432264
Postmaster	0.0426625
raiser	0.0426623
"word of advice"	0.0424724
"double agent"	0.0423969
handicapper	0.0423885
"world traveler"	0.0422199
executioner	0.0417168
"pressure group"	0.0416703
traditionalist	0.041629
atheist	0.0416256
commentator	0.0413437
womanizer	0.0413385
capitalist	0.0411773
"front man"	0.0411429
segregationist	0.0407602
Zionist	0.04066
informer	0.0406572
"punching bag"	0.0405264
petitioner	0.0405047
batboy	0.040501
buff	0.0404792
Aggie	0.0402076
no-brainer	0.0400442
panacea	0.0400375
))
(apology (desc 52397.2) (sims
explanation	0.125907
remorse	0.123777
repentance	0.11749
contrition	0.116067
assurance	0.104778
forgiveness	0.103551
confession	0.101843
statement	0.101496
amends	0.100891
reparation	0.100596
compensation	0.0980888
regret	0.0960473
plea	0.0940285
condolence	0.0936081
acknowledgment	0.0916281
comment	0.0907479
warning	0.0894787
resignation	0.0891298
letter	0.0889099
denial	0.0888913
pardon	0.0884656
condemnation	0.0871225
clarification	0.0858082
reprimand	0.0840447
sorrow	0.0837982
endorsement	0.0832586
response	0.0830546
sympathy	0.0825375
punishment	0.0817662
concession	0.081024
message	0.0808525
rebuke	0.0805286
retraction	0.0802516
criticism	0.0801504
pledge	0.0800359
Declaration	0.0791686
responsibility	0.0788049
remark	0.0784596
greeting	0.0783706
redress	0.0778431
commitment	0.077808
ultimatum	0.0777928
gratitude	0.0776605
recommendation	0.0776585
excuse	0.0776426
promise	0.0774125
gesture	0.0769413
word	0.0767909
justification	0.075675
appeal	0.0753803
amnesty	0.0753753
invitation	0.0752729
answer	0.0751711
admission	0.0747008
request	0.0746045
suggestion	0.0742877
disclosure	0.0740974
reply	0.0738358
atonement	0.0734694
congratulation	0.073387
encouragement	0.0730192
reassurance	0.0709678
restitution	0.0709585
thanks	0.0709481
praise	0.0701545
"phone call"	0.0701408
notification	0.0699949
guarantee	0.0695913
confirmation	0.0695464
advice	0.0692738
speech	0.0691358
censure	0.0688055
accountability	0.0687446
announcement	0.0684152
culpa	0.068152
testimony	0.0680825
"thank you"	0.0680685
instruction	0.0679658
assistance	0.0679337
denunciation	0.067437
proposal	0.0674295
overture	0.0672115
pronouncement	0.0669784
respect	0.066747
"open letter"	0.0666727
appreciation	0.0664785
action	0.0661686
authorization	0.066043
payment	0.0660067
tribute	0.0657286
acknowledgement	0.0649534
retribution	0.0647941
Correction	0.0646928
notice	0.064653
intervention	0.0645096
leniency	0.0642838
gift	0.0641747
reference	0.0637199
acceptance	0.0632986
compromise	0.0632328
inquiry	0.0629591
sentence	0.0628593
threat	0.0626752
decision	0.0625617
memo	0.0619416
insult	0.0613422
guilt	0.0608452
approval	0.0605367
directive	0.0601822
recognition	0.0600913
proclamation	0.0600479
clemency	0.0595908
revision	0.0592891
prayer	0.0588944
compassion	0.0588343
disappointment	0.0588277
remedy	0.0586546
sadness	0.0584737
relief	0.0584193
assessment	0.0584037
suspension	0.0580749
retaliation	0.0579106
commentary	0.0579094
tolerance	0.0576853
Dismissal	0.0576839
solicitude	0.0575704
rationale	0.0573911
"telephone call"	0.0572406
indictment	0.0572007
withdrawal	0.0570629
ruling	0.0570424
accusation	0.0567962
permission	0.0566971
assertion	0.0564481
description	0.0564213
resolution	0.0563844
reaction	0.0562855
conviction	0.0562108
caution	0.0559849
information	0.0559169
backing	0.0558692
reward	0.0557131
"tax cut"	0.0555817
review	0.0553768
commendation	0.0551805
revelation	0.0550463
credit	0.0549786
revenge	0.0547998
affront	0.0547981
signal	0.0547861
sanction	0.0547832
cease-fire	0.0546473
protest	0.0545724
nod	0.0545325
argument	0.0545299
"financial aid"	0.0539981
aid	0.0539611
scapegoat	0.0539459
representation	0.0536831
attention	0.0535601
bribe	0.0535278
investigation	0.053332
appointment	0.0533207
judgment	0.0532274
document	0.0532179
rejection	0.0531113
complaint	0.0528044
donation	0.0527442
embarrassment	0.0526013
"policy change"	0.0525592
expression	0.0525449
bonus	0.0523733
refund	0.0523321
verdict	0.0522682
testimonial	0.0522371
trial	0.0522004
solution	0.0521928
agreement	0.0521303
shock	0.0519571
consolation	0.0519466
intention	0.0518732
settlement	0.0518648
obligation	0.0516417
compliment	0.0516387
initiative	0.0516018
finding	0.0514002
policy	0.0512584
liability	0.0511209
evidence	0.0510293
scrutiny	0.0510206
admonition	0.0508524
detail	0.0507771
waiver	0.0506527
rebuttal	0.0505481
guidance	0.0505299
appearance	0.0505177
decree	0.0504739
discussion	0.0504439
opinion	0.0503983
wish	0.0503912
))
(apostle (desc 7514.01) (sims
disciple	0.085566
prophet	0.0729877
Crucifixion	0.0623857
exponent	0.0571213
"Virgin Mary"	0.0551988
exemplar	0.0534278
"Last Supper"	0.0511349
savior	0.0500827
proponent	0.0484616
bastion	0.0465327
embodiment	0.0462738
commandment	0.0460937
epitome	0.0459691
"two pitchers"	0.0458222
avatar	0.0455294
gospel	0.0454457
sinner	0.0453335
resurrection	0.0450743
preacher	0.0450518
thinker	0.0424442
"high priest"	0.0417352
vote-getters	0.0415397
inductees	0.0414989
crewmembers	0.0414531
triathletes	0.0411862
personification	0.0411531
modicum	0.0409184
"legal guardian"	0.0405789
"supporting players"	0.0403411
punchline	0.0402368
))
(apotheosis (desc 1922.21) (sims
embodiment	0.0801058
flowering	0.0731246
apex	0.0724059
uncovering	0.0715728
ubiquity	0.0706391
thinness	0.0692104
pervasiveness	0.0653398
epitome	0.0612919
symbiosis	0.0604558
"market penetration"	0.0597243
personification	0.0596521
Americanization	0.0586045
nadir	0.0581407
Zenith	0.0574804
duality	0.0570978
confluence	0.056877
pinnacle	0.0567406
progenitor	0.0567238
crescendo	0.0562893
iota	0.0562022
"feast day"	0.0553694
"eighth year"	0.0552418
retooling	0.0542744
epiphany	0.0539741
orgasm	0.0528824
avatar	0.0522686
inkling	0.050501
vicissitude	0.0504966
accepting	0.0498441
wholeness	0.0496679
catharsis	0.0487269
evocation	0.0482498
"roughly two-thirds"	0.0475838
"almost two-thirds"	0.0471677
denouement	0.046851
culmination	0.0468064
newest	0.046521
reworking	0.0463977
accoutrement	0.0463817
patina	0.0461993
emptiness	0.0461485
paragon	0.0458881
emotionalism	0.0457813
fullness	0.0457352
perpetuation	0.045445
dissipation	0.045213
totality	0.0448542
merging	0.0448139
airdrop	0.0447919
apogee	0.0444785
absurdity	0.0444258
centrality	0.0444004
purveyor	0.044345
premonition	0.0440995
ordinariness	0.0440807
blending	0.0438255
"day of reckoning"	0.0437014
skewering	0.0434762
"dog days"	0.0434565
hothouse	0.0432855
"breaking point"	0.0432613
"tax income"	0.0431751
"leading edge"	0.0430831
"first five days"	0.0428513
equilibrium	0.0425425
doyenne	0.0425279
"tail end"	0.0423921
abomination	0.0422501
quintessence	0.0422376
trappings	0.0422232
arbiter	0.0422005
diminution	0.0421562
saturation	0.0417644
tidings	0.0416984
evidences	0.0414395
cost-effectiveness	0.0413389
ascendance	0.0411721
affirmation	0.0411285
originator	0.0410376
perigee	0.0410261
wholesomeness	0.0407665
inheritor	0.0404333
uptrend	0.0400942
repudiation	0.0400377
tendril	0.0400013
))
(APP (desc 4618.31) (sims
"Agence France Presse"	0.170155
Antara	0.168334
PDP	0.158415
"Business Times"	0.152965
BS	0.14713
Notimex	0.143064
"Kyodo News Service"	0.141854
Lusa	0.14046
RSS	0.140041
"Ghana News Agency"	0.136411
"Zambia News Agency"	0.135695
Bernama	0.132845
Tass	0.13213
"Moscow Times"	0.13116
WAM	0.131076
"Kyodo News"	0.130788
Ansa	0.130241
"Egyptian Middle East News Agency"	0.130037
"Straits Times"	0.12902
"Associated Press of Pakistan"	0.128626
"Daily Times"	0.128603
Angop	0.12845
"Saudi Press Agency"	0.127752
SAPA	0.127277
"Kathmandu Post"	0.127236
MENA	0.126826
PTI	0.124364
"Southern African Broadcasting Association"	0.123316
KPL	0.122715
Petra	0.12211
MTI	0.120223
Kyodo	0.119629
"Korean Central News Agency"	0.119269
"Indonesian Observer"	0.119153
"Philippine News Agency"	0.117783
Sowetan	0.11628
AFP	0.115775
ATA	0.114277
"Agence France-Presse"	0.108047
"Zimbabwe News Agency"	0.107241
Tanjug	0.107139
"New Nigerian"	0.107071
"Business Weekly"	0.106429
"Ethiopian News Agency"	0.106093
IRNA	0.105942
"Egyptian Gazette"	0.105043
"Thai News Agency"	0.104154
Noticias	0.103396
INA	0.103088
"Radio Uganda"	0.102693
"Kenya Times"	0.102428
"Dow Jones Newswires"	0.101173
Jana	0.100822
"People's Democratic Party"	0.100755
"News Agency of Nigeria"	0.100676
"Rwanda News Agency"	0.0988245
"Tehran Times"	0.0984806
"Vietnam News"	0.097991
"National Action"	0.0973992
"Business Day"	0.0966542
"Daily Nation"	0.0961474
APA	0.0949788
"Kuwait News Agency"	0.0947237
"East African Standard"	0.09463
Kommersant	0.0943375
"New Vision"	0.0942693
"Jakarta Post"	0.0932602
"Nihon Keizai Shimbun"	0.092831
"United Press International"	0.0927439
"Australian Associated Press"	0.0926112
"Athens News Agency"	0.0923733
Haaretz	0.0918063
"Antara News Agency"	0.0908696
"Turkish Daily News"	0.090806
"British Broadcasting Corporation"	0.0906658
"Khaleej Times"	0.0901101
"Press Trust of India"	0.090036
"South China Morning Post"	0.0894842
"Ethiopian Herald"	0.0894373
"Post Express"	0.0877329
"China Daily Business Weekly"	0.0874906
"Cyprus News Agency"	0.0870636
Lakas-NUCD	0.0869199
"Alam Al Yom"	0.086457
Anatolia	0.0856942
"Iraqi News Agency"	0.0854919
"Beijing Daily"	0.085372
"El Pais"	0.0850048
"Le Monde"	0.083613
Laban	0.0834709
"Israel Radio"	0.083207
"Macao Daily News"	0.0831891
"Daily Star"	0.0824281
"The New Vision"	0.0818668
"Canadian Alliance"	0.0814234
"Jerusalem Media and Communication Center"	0.0813174
center-right	0.0794811
Lakas	0.0794702
"South African Press Association"	0.0794161
"Gulf News"	0.0792782
"Bangkok Post"	0.0791887
"U.S. Labor Department"	0.0790665
"Jordan Times"	0.0790364
"Vietnam News Agency"	0.0780374
KUNA	0.078014
"Jerusalem Post"	0.0778263
"Democratic Progressive Party"	0.0775284
Interfax	0.0772814
"press agency"	0.077089
al-Hayat	0.0770227
"Sydney Morning Herald"	0.0768998
RNA	0.0768147
Reuters	0.0767904
SSB	0.0758158
Asahi	0.075766
"Yomiuri Shimbun"	0.0756779
PML-N	0.0756623
"House Budget Committee"	0.0756464
"Islamic Republic News Agency"	0.0749713
Malu	0.0748949
"Nihon Keizai"	0.0747889
"Washington Times"	0.074543
"Financial Mail"	0.0742362
"El Mundo"	0.0740282
PAP	0.0739971
"Daily Telegraph"	0.0736558
"Iran News"	0.0735451
"Middle East News Agency"	0.0731724
"New Straits Times"	0.0721499
"Information Center"	0.071443
"China Daily"	0.0709796
"Daily Mail"	0.0709417
"Colorado Party"	0.0706377
Itar-Tass	0.070394
"Wenhui Daily"	0.0703905
"The Monitor"	0.0700427
Hurriyet	0.0698529
CNA	0.0697921
"Asahi Shimbun"	0.0688939
"Al Hayat"	0.0685709
"Economic Daily"	0.0682518
"Kenya African National Union"	0.0682294
"Detroit News"	0.0679307
beta	0.067281
"Independence Party"	0.0671347
CTV	0.0661625
"Anatolia News Agency"	0.0660213
"Zambia Daily Mail"	0.0658395
"National Association of Realtors"	0.0657709
"Press Trust"	0.0657364
Yastrzhembsky	0.0655687
"Seattle Times"	0.0652749
"China Youth Daily"	0.0652289
NTV	0.0644816
CDU	0.0643233
ABS-CBN	0.0642651
Spiegel	0.0642036
"Guangming Daily"	0.0641977
Malaya	0.0641721
TT	0.06412
Sana	0.0636921
"East African"	0.0631303
Okada	0.0629674
"State Statistics Bureau"	0.0621042
"Xinhua News Agency"	0.0618646
"Statistics Canada"	0.0618183
UNIP	0.0616146
Sha	0.0612391
"Der Spiegel"	0.0610403
TC	0.06103
Granma	0.060922
Yomiuri	0.060492
"Boston Herald"	0.0601486
"Democratic Alliance"	0.0599573
NHK	0.0599458
Strauss-Kahn	0.0598613
Maariv	0.059327
"Detroit Free Press"	0.0592316
"Defense Agency"	0.0590964
Politika	0.0590659
"National League for Democracy"	0.05898
"Nationalist Party"	0.0585984
"Al Ahram"	0.0581522
Mensa	0.0581087
UNP	0.0579819
"Republican House"	0.057621
Reforma	0.0575084
Fernandes	0.0573193
Dominion	0.0569928
"Patriotic Union of Kurdistan"	0.0568442
"Le Figaro"	0.0565296
"Democratic Revolution"	0.0564785
"Karla Faye Tucker"	0.0560493
PRD	0.0559876
IDC	0.0559184
"Central Bureau of Statistics"	0.0557293
"New Korea Party"	0.0552711
T-cells	0.0551851
Ruehe	0.0550038
"Conference Board"	0.054915
))
(Appalachia (desc 6624.49) (sims
"Mississippi Delta"	0.102356
"Rocky Mountains"	0.0970446
"East Los Angeles"	0.0960759
"Warren County"	0.0779585
"South Bronx"	0.0743995
Adirondacks	0.0709869
Midwest	0.0709049
"West Virginia"	0.0685197
"Washington Heights"	0.0682195
"rural area"	0.0679537
"inner city"	0.0678717
"North Carolina"	0.0676501
"Great Plains"	0.0675727
"Ohio Valley"	0.0670269
"Deep South"	0.066623
Vermont	0.0658314
"East Texas"	0.0655409
"San Fernando Valley"	0.0655283
countryside	0.064563
"American South"	0.064006
"indian reservation"	0.0639864
Alabama	0.0637468
Maine	0.0625772
"East St. Louis"	0.0625063
Appalachians	0.062034
Kentucky	0.0613305
"Northern California"	0.0605963
Andes	0.0605174
"West Texas"	0.0596403
"Westchester County"	0.0595939
midland	0.0584804
"Marin County"	0.0583473
Piedmont	0.0581741
Sichuan	0.0579571
Chinatown	0.0576469
Chatsworth	0.0574824
Guizhou	0.056822
"Great Lakes"	0.0563308
Pennsylvania	0.056276
Louisiana	0.0561265
"East Harlem"	0.0560621
suburbia	0.0559478
"income bracket"	0.0557589
"Taklimakan Desert"	0.0557285
"Pacific Northwest"	0.0556067
Siberia	0.0555733
Ireland	0.0554505
Savannah	0.0551916
Tuscany	0.0550927
Ningxia	0.0550885
"Mississippi Valley"	0.0550673
highland	0.0548989
"Jackson County"	0.0547433
Arkansas	0.0544814
"Qinghai-Tibet Plateau"	0.0533016
Macon	0.0530672
"small town"	0.0529802
Alaska	0.0526134
Westchester	0.0524483
"North Beach"	0.0523865
"Southern California"	0.0517822
Mississippi	0.0517806
"South Dakota"	0.0517717
"Southeast Asia"	0.0515065
"Crown Heights"	0.0514959
"Puerto Rico"	0.051332
Luzon	0.0511362
Fujian	0.0510388
"New Mexico"	0.0510246
"Silicon Valley"	0.0509734
"South America"	0.0508826
Berkshires	0.05061
"Newport Beach"	0.0505985
Shaanxi	0.0505275
"British Columbia"	0.0504043
ASHEVILLE	0.0500778
"Hunan Province"	0.0500543
Idaho	0.049905
Bavaria	0.0498642
"Bay Area"	0.0497057
borough	0.0494854
Lijiang	0.0494334
Harlem	0.0493652
"The Bronx"	0.0492476
Chiapas	0.0492364
Paterson	0.049217
"Palm Beach County"	0.0491593
"North Dakota"	0.0490848
Astoria	0.0488909
Montana	0.0487703
"Bekaa Valley"	0.0485508
"Eastern Europe"	0.0485232
"Orange County"	0.048437
"Anhui Province"	0.0481102
Lhasa	0.0480959
Sedona	0.0478297
Montclair	0.0477802
"New Frontier"	0.0477355
Judea	0.0476114
"Qinghai Province"	0.0475841
Xinjiang	0.0475107
Tianjin	0.0474955
"Delray Beach"	0.0474603
"Greater Boston"	0.047437
"Tibet Autonomous Region"	0.0473388
"Hell's Kitchen"	0.0473082
Hunan	0.0471231
"Dominican Republic"	0.0469653
"New Canaan"	0.0469133
"Sonoma County"	0.0469112
"Xinjiang Uygur Autonomous Region"	0.046813
Guangxi	0.0465636
"Big Sur"	0.0465548
Lubbock	0.0464297
low-income	0.046392
Carolinas	0.0462572
metropolis	0.0462016
Yonkers	0.0461535
Scarsdale	0.0461402
"Central Valley"	0.0461372
prefecture	0.0461029
Ontario	0.0459942
Sicily	0.0458674
"Sierra Nevada"	0.045864
Honduras	0.045792
Haiti	0.0455966
panhandle	0.0455404
"urban area"	0.0454104
Fayetteville	0.0450951
Bohemia	0.0449113
Prague	0.0448196
"San Marcos"	0.0447633
Mesa	0.0447533
Qinghai	0.0446366
Gansu	0.044597
"Hebei Province"	0.0445866
"East Africa"	0.0445551
"Huntington Beach"	0.0445114
Newark	0.0443824
"Sinai Peninsula"	0.0443653
Laramie	0.044355
Newfoundland	0.0443093
"Pearl River Delta"	0.0442736
"San Francisco Bay"	0.0441804
Oregon	0.0440828
"Miami Beach"	0.0440664
"Costa Rica"	0.044023
"Nova Scotia"	0.0438647
Eureka	0.043824
Pudong	0.0438019
"Long Island"	0.0437471
"Far East"	0.0437453
"American West"	0.0436321
Guangdong	0.0436223
Catskills	0.0435823
Zhejiang	0.0435317
"Union City"	0.043526
"New Territories"	0.043371
heartland	0.0432073
"Palm Beach"	0.0431987
"St. Petersburg"	0.0431984
"Brighton Beach"	0.0431853
"Death Valley"	0.0431491
"Everglades National Park"	0.0431208
ghetto	0.0430122
Provence	0.0429528
Tuscaloosa	0.0428589
Chappaqua	0.0427989
"Holy Land"	0.0427305
"Brooklyn Heights"	0.0427204
"Hudson Valley"	0.0427042
"New York State"	0.042635
Greenwich	0.0425802
Rockies	0.0425364
Ozarks	0.0424201
"Santa Fe"	0.042408
"Shanxi Province"	0.0423654
Redding	0.0422873
canton	0.042256
Braintree	0.0422346
"Guangxi Zhuang Autonomous Region"	0.0420981
Bekaa	0.0420945
Quincy	0.0419797
Mid-Atlantic	0.0419742
flatlands	0.0417698
Stamford	0.041597
Scotland	0.0415823
Astana	0.0414097
"Inner Mongolia"	0.0413714
"Pudong New Area"	0.0413093
"Central Texas"	0.0412862
"Gaza Strip"	0.0412666
Oaxaca	0.0412446
Spokane	0.0412346
"Little Rock"	0.0412206
Camden	0.0411633
Wyoming	0.041075
Quebec	0.041063
"San Joaquin Valley"	0.0410279
"British Isles"	0.04088
))
(Appalachian (desc 2695.06) (sims
Adirondack	0.147802
"Sierra Nevada"	0.137534
"Rocky Mountain"	0.125554
"Blue Ridge"	0.117701
Catskill	0.113617
Acadian	0.106917
Berkshire	0.0978029
"French Canadian"	0.0925872
"Irish Catholic"	0.09039
"Orthodox Jewish"	0.0887876
Amazonian	0.0883651
Germanic	0.0853054
non-Hispanic	0.083924
"North Georgia"	0.083758
Mexican-American	0.083465
ranching	0.0830182
Pyrenees	0.0822475
Hasidic	0.0799267
Irish-American	0.079483
"Hill Country"	0.0790753
lakeside	0.0781919
"North African"	0.0779326
Ozarks	0.077808
Cajun	0.0776511
"Orthodox Christian"	0.0772606
Alaskan	0.0766094
Provencal	0.076092
Scottish	0.0760775
Andes	0.0751976
Aggie	0.0745269
Anglo	0.0741688
"picture postcard"	0.0741659
Slavic	0.0737473
"South Asian"	0.0714919
Maasai	0.0712612
anything-goes	0.0704369
"Florida Panhandle"	0.0697838
Celtic	0.0696846
sierra	0.0693544
"Eastern European"	0.0689209
yuletide	0.0678796
"Middle Eastern"	0.0650715
Mayan	0.0647624
"working class"	0.064682
Drenica	0.0637999
Alcorn	0.0634452
"Central Asian"	0.0633306
Condor	0.0630853
down-and-out	0.0627042
bluegrass	0.0621177
Hawaiian	0.0619521
"R&AMP;B"	0.0613824
Korean-American	0.0613107
forgotten	0.0605401
Amish	0.0604138
uptempo	0.060317
"show biz"	0.0601443
"old country"	0.0589595
"East Texas"	0.0589058
eroding	0.0587707
Piedmont	0.0580273
"Shiite Muslim"	0.0579419
Cumberland	0.0573833
"Central Texas"	0.0568959
"Old World"	0.0563158
"Tin Pan Alley"	0.0558714
"West Indian"	0.0553852
"Nile Delta"	0.0550955
Tigray	0.0549895
Sephardic	0.0549882
Caucasus	0.0545509
Iroquois	0.0545186
Iditarod	0.0543146
"East Bay"	0.0542698
klezmer	0.0541899
Stroganoff	0.0539955
Tibetan	0.0539511
"Far Eastern"	0.0534905
Afro-Cuban	0.0534545
"Bible Belt"	0.0534299
"Pacific Coast"	0.0531839
"Israeli Arab"	0.0519803
oceanside	0.0517265
Hmong	0.0516854
Mayberry	0.051468
CHEROKEE	0.0512862
Balkan	0.0512092
Polynesian	0.0511568
Japanese-American	0.0508006
Dickensian	0.050757
Inuit	0.0506304
"Hudson Valley"	0.0505075
Carmel	0.0504826
Breton	0.0503195
"North Shore"	0.0500424
gothic	0.0498351
Chiapas	0.0497817
Navajo	0.0492349
"West Texas"	0.0488182
"San Bernardino"	0.0487933
"Santa Rosa"	0.0487136
Coptic	0.0486343
gangsta	0.0485368
Khmer	0.0485272
Mennonite	0.0485199
"native American"	0.0481481
Chorale	0.048093
cappella	0.0478937
Bengali	0.0478247
"East African"	0.0476729
"Central Valley"	0.0475387
rom	0.0472011
Armenian	0.0469172
SKA	0.0468923
"African American"	0.0468661
two-mile	0.0468089
Quaker	0.0467276
"other eight"	0.046712
Laguna	0.0466008
"melting pot"	0.0462122
raunchy	0.046098
Hani	0.0460376
Kurdish	0.0459919
"West African"	0.0458352
"Mississippi Delta"	0.0453849
"American Indian"	0.0453037
Yiddish	0.0452758
Arab-American	0.0452256
Zydeco	0.0451988
three-mile	0.0451139
Berber	0.0446673
"gold rush"	0.0443173
"East Asian"	0.0442398
Italian-American	0.044239
"Asian American"	0.0441044
"Connecticut River"	0.044071
"Lower Saxony"	0.0439409
Decani	0.0437194
"Elmore Leonard"	0.0435392
"Dutchess County"	0.0435344
Downstate	0.0435293
coffeehouse	0.0433962
Somerset	0.0433709
"Ho Chi Minh"	0.0433678
hippie	0.0432576
O'Connor's	0.0429546
Israeli-Arab	0.0427523
"Mojave Desert"	0.0423125
woodland	0.0421681
BASQUE	0.0419721
Chianti	0.0418924
Gaelic	0.0417431
abolitionist	0.0415317
"Kosovar Albanian"	0.0413203
"South Georgia"	0.0412769
"Mississippi River"	0.0409643
zeppelin	0.0409132
Caprivi	0.0407498
Javanese	0.040729
"Ohio River"	0.0406878
riverside	0.0405662
Baltic	0.0405603
"Marin County"	0.0405279
"Gulf Coast"	0.0404571
mariachi	0.0404458
storybook	0.0402538
"upper class"	0.0402326
"California wine"	0.040158
Mid-Atlantic	0.0400476
))
("Appalachian State" (desc 1639.4) (sims
Lehigh	0.16341
Fordham	0.154763
"Southern Cal"	0.153488
UAB	0.151477
"Arkansas State"	0.150858
"North Carolina State"	0.15036
Illini	0.150255
"Northern Arizona"	0.149253
Wolfpack	0.148319
Samford	0.147951
UNLV	0.147151
"Holy Cross"	0.146702
"N.C. State"	0.143577
"Fighting Irish"	0.14344
Hawkeyes	0.142937
"Louisiana Tech"	0.141834
"Southern Mississippi"	0.137407
Starzz	0.134061
Clemson	0.133901
"Texas Tech"	0.13124
"San Jose State"	0.131161
"Long Beach State"	0.130326
"Georgia Southern"	0.129565
Lobos	0.128831
"Wake Forest"	0.128186
"Jackson State"	0.128105
"Southwest Missouri State"	0.126469
Marquette	0.125986
terrapin	0.125653
Vanderbilt	0.124934
Tulane	0.123886
Villanova	0.122506
"San Diego State"	0.122356
"New Mexico State"	0.122216
"Oklahoma State"	0.122195
"Montana State"	0.121861
Xavier	0.121605
"Old Dominion"	0.12095
Purdue	0.12044
"Kansas State"	0.118999
Rattler	0.118183
Pepperdine	0.118104
NAU	0.117727
"East Carolina"	0.116859
"Washington State"	0.116495
"Brigham Young"	0.115287
Evansville	0.114931
"Colorado State"	0.11475
Sooners	0.114575
"Utah State"	0.113671
"University of Rhode Island"	0.111726
Jayhawks	0.111142
"Saint Louis"	0.11109
"Ohio State"	0.111083
"Idaho State"	0.108891
Boilermakers	0.108878
"Mississippi State"	0.108705
"Scarlet Knights"	0.108532
"Georgia Tech"	0.108271
Rutgers	0.108153
Minutemen	0.107644
"Seton Hall"	0.107467
"Phenix City"	0.107279
"Virginia Tech"	0.106013
Colgate	0.105796
Wolverine	0.105676
BYU	0.105475
Huskers	0.105385
"Washington Redskins"	0.104758
UConn	0.102693
"Boston College"	0.102589
LSU	0.101943
SMU	0.101559
"St. Bonaventure"	0.101251
"Florida State"	0.101236
Valparaiso	0.101063
Razorback	0.100535
"Indianapolis Colts"	0.100362
gopher	0.0999965
Alabama-Birmingham	0.0999418
"Oregon State"	0.0997064
"Notre Dame"	0.0995286
"Brian Moehler"	0.0993874
"Iowa State"	0.0988254
"James Madison"	0.0976607
Gonzaga	0.0974182
"Nittany Lions"	0.0971966
Hoosier	0.096644
BUCCANEER	0.0964092
gamecock	0.0963769
"Ball State"	0.0961952
bearcat	0.0959665
"Red Raiders"	0.0959119
"UC Santa Barbara"	0.0954905
"Arizona State"	0.0952648
"Horned Frogs"	0.0941136
"Texas Christian"	0.0940569
"Michigan State"	0.0939865
"Partizan Belgrade"	0.0932904
"Crimson Tide"	0.0928801
"Nevada-Las Vegas"	0.0926343
Baylor	0.092243
Furman	0.0922356
Siena	0.0920619
"Bowling Green"	0.0908141
Supersonics	0.0906101
OSU	0.0904293
Cornhusker	0.0902431
lumberjack	0.0898375
"Tar Heels"	0.0896138
"Penn State"	0.08955
"Central Florida"	0.0894231
ou	0.088765
Stephenville	0.0877802
"Pittsburgh Steelers"	0.0877708
RedHawks	0.0873541
WSU	0.0871932
"New York Jets"	0.0867816
"Fresno State"	0.0866019
"Cincinnati Bengals"	0.086437
"New York Liberty"	0.0862836
Dartmouth	0.0862568
"Philadelphia Eagles"	0.0862289
ASU	0.086109
"Tampa Bay Buccaneers"	0.0860122
"Carolina Panthers"	0.0858866
"Weber State"	0.0857647
"Green Bay"	0.0851553
MetroStars	0.0849398
Gators	0.0845993
"D.C. United"	0.0843813
Cal	0.0839431
"Miami Dolphins"	0.0837147
"Boise State"	0.083518
bulldog	0.0831861
Bengals	0.0830752
Pitt	0.0830648
Hofstra	0.0828134
Redskin	0.0822254
UNT	0.081719
"University of Tennessee"	0.0817123
TCU	0.0813313
tech	0.0810952
"Buffalo Sabres"	0.0809157
Carolina	0.0805681
"Chen Gang"	0.0800631
"University of Houston"	0.0800281
DePaul	0.0795253
"Mike Sirotka"	0.0788823
"St. Louis Blues"	0.078802
Tulsa	0.078719
UMKC	0.0786404
Iona	0.0784725
"Loyola Marymount"	0.0781216
Hoya	0.0780406
Raven	0.0779502
"San Diego Chargers"	0.0777237
Georgetown	0.0775187
Seminoles	0.0773844
"San Francisco @@ers"	0.0773802
Seahawks	0.0773359
"BRIAN MEADOWS"	0.0772602
"Cal State Northridge"	0.0770249
Auburn	0.0765663
Princeton	0.0764166
"New York Giants"	0.076099
bobcat	0.0760342
cavalier	0.0759367
"St. Francis"	0.0758589
Steelers	0.0757842
wildcat	0.0756889
CSUN	0.0753611
"St. Louis Rams"	0.0753436
"blue devil"	0.0750654
"Kansas City Chiefs"	0.0750602
buckeye	0.0747466
"Pedro Astacio"	0.074555
"Golden State"	0.0744368
"Louisiana State"	0.0741454
"Russ Ortiz"	0.0738669
Vols	0.0737672
"Dallas Cowboys"	0.0736462
cougar	0.0735989
"Red Storm"	0.0735682
"Jacksonville Jaguars"	0.0730758
"Tennessee Titans"	0.0730416
BEARS	0.0730159
piston	0.0727193
Bucs	0.0727192
Nicol	0.0726433
"Shawn Estes"	0.0726009
"Poul-Erik Hoyer-Larsen"	0.0725305
Timberwolves	0.0721611
Louisville	0.0720689
UMass	0.0718244
Springbok	0.0717352
UTEP	0.0716928
badger	0.071608
"Minnesota Vikings"	0.0715306
"yellow jacket"	0.0714843
))
("Appalachian Trail" (desc 1677.07) (sims
"Interstate @"	0.0806838
"oil pipeline"	0.0798161
"highway system"	0.0789376
uphill	0.0742036
Thruway	0.0721915
"eight miles"	0.0711092
"city block"	0.0691764
"bank rate"	0.0677353
"Mount Rainier"	0.0624015
"about four miles"	0.0609277
"rail line"	0.0607734
Partway	0.0600756
"about two miles"	0.0589653
"four miles"	0.0577162
"large intestine"	0.0560344
"Highway @@@"	0.0553436
"more than @@ miles"	0.05507
"Columbia River"	0.0542558
"Great Wall"	0.054201
"Pennsylvania Avenue"	0.0539242
"Pacific Coast"	0.0533778
"single file"	0.0530568
"railroad track"	0.0520136
SNPs	0.0511037
"Earth's surface"	0.0507515
rainforests	0.0493332
roundtrip	0.0487057
"Colorado River"	0.0478901
"Grand Canal"	0.0476771
"more than @,@@@ kilometers"	0.045689
twine	0.0453621
Bowery	0.0446316
"female body"	0.0443327
"high wire"	0.0441316
tubing	0.0441003
"fiber optic cable"	0.0427406
"Rio Grande"	0.0425711
"Russ Ortiz"	0.0425617
duct	0.0425371
"Long March"	0.0425341
motorway	0.0423892
three-mile	0.0423079
"Central Park West"	0.0422164
"sugar beet"	0.042193
"Route @@"	0.0420393
boardwalk	0.0419352
"Lake Okeechobee"	0.0419324
riverbank	0.0418935
"Silk Road"	0.041775
"shuttle bus"	0.0416934
"about three miles"	0.0416247
causeway	0.0415848
"Diamond Mountain"	0.0415441
"Hollywood Boulevard"	0.0415346
"dividing line"	0.0411725
"Red Planet"	0.0409418
Hispaniola	0.0405563
"Beijing-Kowloon Railway"	0.0402544
"about @,@@@ kilometers"	0.040104
"Damian Jackson"	0.0400486
))
(Appalachians (desc 8675.35) (sims
"Mississippi Valley"	0.293863
"Great Lakes"	0.266986
"Ohio Valley"	0.264067
"Tennessee Valley"	0.224836
Carolinas	0.216908
Rockies	0.194745
Dakota	0.184479
plain	0.164107
"Middle West"	0.155876
"Gulf Coast"	0.142919
"Rocky Mountains"	0.138979
"Pacific Northwest"	0.130905
"New England"	0.120479
cascade	0.111822
Midwest	0.109078
Northeast	0.101819
southeast	0.101644
"Sierra Nevada"	0.100942
Mid-Atlantic	0.0995203
"Gulf of Mexico"	0.0991856
Andes	0.094946
"Great Plains"	0.0853319
sierra	0.0820558
Luzon	0.0754943
Virginia	0.0712241
Pennsylvania	0.0701316
Maine	0.0694332
Adirondacks	0.0693159
Ohio	0.0676915
"mountain range"	0.0666826
"North Island"	0.0665254
Mississippi	0.0664612
Montana	0.0662438
seaboard	0.0659591
southwest	0.0657129
"Mount Hermon"	0.064653
"North Dakota"	0.0635398
slope	0.0635343
Appalachia	0.062034
"Yucatan Peninsula"	0.0613398
"Sinai Peninsula"	0.0607698
"San Joaquin Valley"	0.0607013
Oklahoma	0.0604894
"Mississippi River"	0.0602511
Louisiana	0.0599232
Kansas	0.0586673
Alps	0.0584774
"Leeward Islands"	0.0568118
Himalayas	0.0549314
Sinai	0.0528556
panhandle	0.0527395
Illinois	0.0527062
"New Mexico"	0.051355
Idaho	0.0505843
Atlantic	0.0505658
Nevada	0.0491888
"Atlantic Ocean"	0.0479718
"Central Valley"	0.047892
"Jordan River"	0.0472721
Alaska	0.0469424
Bahamas	0.0467285
Oregon	0.046307
foothills	0.0462209
"Missouri River"	0.0461651
"Baja California"	0.0459368
"Jordan Valley"	0.0441743
foothill	0.044131
"Florida Keys"	0.0435258
Kentucky	0.0431069
highland	0.0430488
"Pacific Ocean"	0.042927
Greenland	0.0428539
"East Coast"	0.0418998
"pedestrian bridge"	0.0413725
Wyoming	0.0403536
"mountain peak"	0.0401328
Kyushu	0.0400508
))
(apparatchiks (desc 903.422) (sims
"Nhan Dan"	0.124723
functionary	0.0983964
warhorse	0.0896497
autocracy	0.0861259
Politburo	0.0849981
left-winger	0.0848694
strongmen	0.0830134
"sphere of influence"	0.0822719
bigwig	0.0769308
Granma	0.0766873
Phieu	0.0746179
"Kai Tak Airport"	0.0737973
baserunner	0.0731399
"Buster Douglas"	0.0722235
autocrat	0.0718244
"census taker"	0.0698039
"little leaguer"	0.0694994
"secret police"	0.0660852
rank-and-file	0.0656876
felling	0.0650548
"Scotty Bowman"	0.0636436
"Yukio Hatoyama"	0.0630874
"Natan Sharansky"	0.062906
"collective farm"	0.0622562
Commissar	0.0621557
"game warden"	0.0619276
ILGO	0.0618558
despot	0.0615107
pumping	0.0600582
baby-boomers	0.0599543
Sakigake	0.0598596
"information superhighway"	0.0597428
"Gennady Zyuganov"	0.0591892
"Tony Perez"	0.0590794
"Koichi Kato"	0.0590101
vaudevillian	0.0588861
Vandal	0.058792
propagandist	0.0584856
occupier	0.0582253
spymaster	0.058096
expansionism	0.0579916
mole	0.0578535
"political boss"	0.0576955
putsch	0.0572127
orthodoxy	0.056639
afterburner	0.0563797
authoritarianism	0.055923
totalitarianism	0.0557902
WPP	0.0555932
"Oliver McCall"	0.0555217
Marichal	0.0552013
crusher	0.054058
"Houston Oilers"	0.0534219
"old guard"	0.0533469
nudist	0.0531823
prizefighter	0.052985
"Andre Rison"	0.0520617
Omni	0.0517495
submariner	0.0503752
"partner in crime"	0.0501152
"Massimo D'Alema"	0.0500764
frontlines	0.0499025
clunker	0.049813
"Welfare Party"	0.0498033
"deficit spending"	0.0497007
USSR	0.0495978
"East Berlin"	0.0491372
bodysuits	0.0490207
picketers	0.048849
gulag	0.0487939
"corporal punishment"	0.0486896
Rhodesia	0.0485267
"Walter Matthau"	0.048418
fighter-bombers	0.0483817
"big shot"	0.0483552
Zambrano	0.0482801
"power structure"	0.0482682
"Jacques Villeneuve"	0.0482246
"slush fund"	0.0480574
stockyard	0.0479625
Lakas-NUCD	0.0478472
"American Football League"	0.0478334
broadsheet	0.0477257
"Dan Meridor"	0.0476595
"base runner"	0.0476053
census-takers	0.0475666
Kamensky	0.0474792
newscaster	0.0473846
"Candlestick Park"	0.0473261
"State Law and Order Restoration Council"	0.0472603
"bank rate"	0.047062
hubcap	0.047015
Terps	0.0467778
Henning	0.0464526
hippy	0.0462323
bandmates	0.0459968
"P.V Narasimha Rao"	0.0459892
"Bryan Herta"	0.0459826
Bosman	0.0459652
"party boss"	0.045856
gift-giving	0.0457265
bodybuilder	0.0455744
Barrionuevo	0.0455086
"cotton mill"	0.0454704
"Aryeh Deri"	0.0452969
"membership card"	0.0451555
Gestapo	0.0450147
ideologue	0.0449592
denouncement	0.0447446
"Ryan Kealy"	0.0446625
sobriquet	0.0446087
goer	0.0444895
JAT	0.0444459
"weather vane"	0.0442671
crosswind	0.044
"Tony Coelho"	0.0439588
"Golden Bear"	0.0439378
"chicken coop"	0.0439203
"Dave Brown"	0.0437448
officialdom	0.0437302
Creationists	0.0437152
"Andreas Papandreou"	0.0437145
livery	0.0436662
Atlantan	0.0436071
Kilborn	0.0432761
"flower child"	0.0431804
"David Beasley"	0.0431313
"No. @s"	0.0430234
carrying	0.042958
screamer	0.0428615
recidivism	0.0428266
bullishness	0.042803
Vermonter	0.042578
absinthe	0.0425065
"transport ship"	0.042447
underling	0.042355
"Southwest Conference"	0.0423426
"nuclear-powered submarine"	0.04234
tannery	0.0422883
"Lowell Weicker"	0.0422452
Petkovsek	0.0421992
insulator	0.0421381
Allchin	0.0420867
shipmate	0.0420658
vending	0.0420421
"Warsaw Pact"	0.0419345
Dragomir	0.0419007
Santoro	0.0418544
RIPOSTE	0.0418536
"Mark Wohlers"	0.041835
INTERFET	0.0417771
avocation	0.0417737
"Boomer Esiason"	0.041764
ECN	0.0417208
"blood feud"	0.0417018
"work group"	0.0416381
"big leaguer"	0.0416184
"Quincy Carter"	0.04161
Irishmen	0.0415829
diehard	0.0415724
T-@@	0.0415041
Al-Thawra	0.0411075
McNulty	0.0409854
"Victor Chernomyrdin"	0.0409696
"Jehovah's Witness"	0.0409513
Izvestia	0.04069
McInnis	0.0405654
Trailblazer	0.0405545
Portnoy	0.0404057
kingmaker	0.0403208
chum	0.0402929
major-leaguers	0.0402586
"member bank"	0.0402105
Spector	0.0401467
"sea captain"	0.0400473
))
(apparatus (desc 23807.1) (sims
machinery	0.127057
equipment	0.0993186
"household appliance"	0.0926272
instrument	0.0901377
device	0.0814251
machine	0.0796028
"machine tool"	0.0766161
appliance	0.076054
"secret police"	0.0746398
sensor	0.0744422
electronics	0.0741634
tool	0.0719089
"weapons system"	0.0711815
"building material"	0.0697478
"security system"	0.068851
technique	0.0681198
"medical instrument"	0.0680194
"alarm system"	0.067411
capability	0.0674023
mechanism	0.0670837
"electronic device"	0.0669653
pharmaceutical	0.0665214
bureaucracy	0.0663783
"security force"	0.0663347
weaponry	0.0662489
"communications equipment"	0.0658606
structure	0.0655813
scanner	0.064989
semiconductor	0.0648728
chemical	0.06479
hardware	0.0641046
"balance beam"	0.0638469
"police force"	0.0633989
gadget	0.0633587
technology	0.0632599
"electronic equipment"	0.0630163
institution	0.0626673
method	0.0625667
"surveillance system"	0.0617016
infrastructure	0.0610286
"home appliance"	0.0608434
"computer program"	0.0605613
generator	0.0605321
"motor vehicle"	0.0602005
gear	0.0599229
Judiciary	0.059854
"armed forces"	0.0595867
network	0.0589983
"control system"	0.0589973
military	0.0588662
transmitter	0.058854
component	0.0588338
unit	0.0580572
detector	0.0574609
material	0.0573322
"X-ray machine"	0.0572066
petrochemical	0.0571226
facility	0.0571121
regime	0.0570562
radar	0.0569299
"military capability"	0.0567852
"spare part"	0.0566105
firewalls	0.0565948
department	0.0565132
gadgetry	0.0565053
kit	0.0563506
"electoral system"	0.0552447
procedure	0.0552162
"integrated circuit"	0.0550218
"military force"	0.0549711
"distribution system"	0.0545145
air-conditioner	0.0544306
platform	0.0543578
weapon	0.0543224
goggles	0.0542587
"tv set"	0.0541922
installation	0.0541893
"defense system"	0.054126
functionary	0.0540631
Robot	0.0540482
organ	0.0539892
conditioner	0.0538247
laser	0.0536461
army	0.0536444
"consumer goods"	0.0534603
"civil service"	0.0533993
metallurgy	0.0533948
Directorate	0.0530675
counterintelligence	0.052932
automobile	0.0528687
camera	0.0528043
intelligence	0.05263
personnel	0.0525962
antenna	0.0525328
Satellite	0.0524468
foodstuff	0.0524387
"weapon system"	0.0522518
"chemical industry"	0.0522457
"parallel bars"	0.0521409
"spy satellite"	0.0521282
"secret service"	0.0520726
"political system"	0.0519841
"legal system"	0.0519618
"tax system"	0.0514971
hierarchy	0.0511804
"safety feature"	0.0509755
packaging	0.0509632
sonar	0.0507357
Mossad	0.0506895
software	0.0504757
"law enforcement"	0.0504748
Microelectronics	0.0504686
laboratory	0.0503592
operative	0.0502608
auto	0.0498909
armament	0.04982
"television set"	0.0498035
"support system"	0.0497026
"computer equipment"	0.0496828
filter	0.0496812
medicine	0.0494067
"military unit"	0.0493293
telescope	0.0493037
"inner circle"	0.0492254
footwear	0.0490008
ceramic	0.048782
"production line"	0.0486579
tactic	0.0486494
meter	0.04828
strategy	0.0482784
circuitry	0.0481916
Projector	0.04813
"power structure"	0.0480111
"circuit board"	0.0479295
textile	0.0479099
recorder	0.0478969
"sound system"	0.0478242
"raw material"	0.0478139
"explosive device"	0.0477992
pesticide	0.0477487
aircraft	0.0477027
gizmo	0.0476794
resource	0.0476437
bioengineering	0.0474391
"task force"	0.0473648
"communications satellite"	0.0472571
telecommunication	0.0472436
plastic	0.0471831
fertilizer	0.0469468
"computer hardware"	0.0469262
know-how	0.0468245
logistics	0.0467291
code	0.0466857
engine	0.0466685
tank	0.0465279
avionics	0.0465215
"printing press"	0.046259
expertise	0.0462584
microscope	0.0462089
"production equipment"	0.0461912
reactor	0.0461637
ministry	0.0461293
timepiece	0.0461273
Manpower	0.0460964
furniture	0.0459566
"air defense"	0.0458621
elite	0.0458555
"telephone system"	0.0456777
timer	0.0455606
ability	0.0454911
garment	0.0454532
plumbing	0.0454422
firearm	0.0452982
accessory	0.0452821
"information technology"	0.0451543
oligarchy	0.0451369
"computer network"	0.0451185
"labor movement"	0.0450676
valve	0.0450316
implant	0.045019
toy	0.0448093
"voting system"	0.0447639
means	0.0447536
"war chest"	0.0447376
scheme	0.0445479
helicopter	0.0444028
vault	0.0444015
ultrasound	0.0443872
Motorcycle	0.0442958
"information system"	0.044252
"software system"	0.0440101
"ventilation system"	0.0439881
function	0.0439442
establishment	0.0439004
"disk drive"	0.0438932
goods	0.0438787
"slush fund"	0.0438706
"communication system"	0.0438379
"mass media"	0.0438315
"local government"	0.0436631
))
(apparel (desc 21334.8) (sims
Clothing	0.227957
footwear	0.217697
garment	0.196715
"consumer electronics"	0.18677
"household appliance"	0.184407
sportswear	0.180284
jewelry	0.177137
cosmetic	0.171943
textile	0.166687
furnishings	0.165193
housewares	0.164278
knitwear	0.163655
"home appliance"	0.162012
furniture	0.161994
merchandise	0.159908
"consumer goods"	0.159901
electronics	0.159531
"building material"	0.156315
appliance	0.153376
accessory	0.150148
handicraft	0.146723
shoe	0.145001
pharmaceutical	0.144216
semiconductor	0.140831
goods	0.140162
toy	0.139688
foodstuff	0.137185
machinery	0.135311
"machine tool"	0.134327
cloth	0.131353
stationery	0.129131
auto	0.128353
"food product"	0.128165
"electronic equipment"	0.125724
perfume	0.125404
handbag	0.123786
"sports equipment"	0.123551
automobile	0.123233
"computer hardware"	0.122919
toiletry	0.121757
ceramic	0.121574
hardware	0.12093
collectibles	0.120447
"communications equipment"	0.118931
"durable goods"	0.118506
beverage	0.11779
product	0.116492
"frozen food"	0.115259
lingerie	0.114731
cookware	0.114411
"pet food"	0.113421
kitchenware	0.112809
equipment	0.110333
"soft drink"	0.108053
newsprint	0.107645
lumber	0.10554
bedding	0.105062
"raw material"	0.103779
"computer equipment"	0.103041
Fragrance	0.102933
jean	0.102856
petroleum	0.101823
"motor vehicle"	0.101459
"golf equipment"	0.100998
liquor	0.100507
"greeting card"	0.0991165
"alcoholic beverage"	0.0986992
petrochemical	0.098604
steel	0.0982884
cement	0.098083
underwear	0.0977919
"apparel industry"	0.0974304
fertilizer	0.0973723
grocery	0.097126
Swimwear	0.0966377
item	0.0962154
"consumer product"	0.0953308
commodity	0.0952159
fabric	0.0947639
food	0.0944991
T-shirt	0.0941059
"office furniture"	0.0936269
"spare part"	0.0935927
timepiece	0.0924489
jewellery	0.0922097
software	0.0920484
cigarette	0.0917649
"passenger car"	0.0908621
copier	0.0903063
gear	0.0903033
tobacco	0.0900297
"palm oil"	0.0898753
"scientific instrument"	0.0889768
"household product"	0.0889299
seafood	0.0886793
souvenir	0.0884176
leather	0.0882158
aerospace	0.088143
silk	0.0877096
eyeglass	0.0876884
gemstone	0.0869391
"blue jean"	0.0867849
sneaker	0.0867084
fashion	0.0866133
carpet	0.0862731
"personal computer"	0.0857817
jute	0.0854117
hosiery	0.0853606
chemical	0.0853072
shirt	0.0844
fashions	0.0843031
menswear	0.0842021
glassware	0.0841226
"precious metal"	0.0840851
telecommunication	0.0839981
"prescription drug"	0.0838793
memorabilia	0.0836934
plastic	0.0832844
cereal	0.0825077
antique	0.081962
"running shoe"	0.0818743
retail	0.0814487
trinket	0.0811559
"aircraft engine"	0.0811443
Beer	0.0810408
"integrated circuit"	0.0809008
rubber	0.0809008
"skin care"	0.0808183
metallurgy	0.0805217
"specialty chemical"	0.0803938
"dairy product"	0.0803703
"crude oil"	0.0796107
"disk drive"	0.079583
"power tool"	0.0795091
"memory chip"	0.0793292
sweater	0.0788398
wool	0.0785957
linen	0.0784285
"chemical industry"	0.0780767
sunglasses	0.0780583
"real estate"	0.0775645
"mail order"	0.0772705
hat	0.0767813
ware	0.0767256
cotton	0.0766636
"frozen foods"	0.0765484
"software product"	0.0764777
metal	0.0763289
fur	0.0762726
pulp	0.0761938
packaging	0.0761621
conditioner	0.0760678
tableware	0.0760231
manufacturing	0.0757702
medicine	0.0756486
brand	0.0755491
drink	0.0754902
dress	0.0754452
"sewing machine"	0.0752756
grain	0.0752633
timber	0.0751495
Computer	0.0750552
"musical instrument"	0.0749553
eyewear	0.0746863
wine	0.0746008
utensil	0.0744165
tea	0.0741301
candy	0.0737645
air-conditioner	0.0735288
vitamin	0.0732298
"building product"	0.0731338
printer	0.0730505
coffee	0.073011
component	0.0729923
"high technology"	0.0729479
"tennis shoe"	0.0729056
"consumer durables"	0.072728
paraphernalia	0.0727273
"video game"	0.0726922
generics	0.0726492
gasoline	0.072356
diaper	0.0722562
jacket	0.0722038
"tv set"	0.072045
shipbuilding	0.0718428
yarn	0.0717716
"television set"	0.0717596
gadget	0.0716395
sandal	0.0716008
boutique	0.0714868
Entertainment	0.0714836
material	0.0714487
"life insurance"	0.0712037
upholstery	0.0708347
bicycle	0.0704764
Levi's	0.0704532
tool	0.0704058
rug	0.0703964
flooring	0.0703707
"canned food"	0.0703001
))
("apparel industry" (desc 1459.86) (sims
"construction industry"	0.107559
apparel	0.0974304
"coal industry"	0.0870958
knitwear	0.0828642
"electronics industry"	0.0820062
"automobile industry"	0.0815796
"manufacturing business"	0.0801074
"chemical industry"	0.076561
"shipbuilding industry"	0.0715191
"computer industry"	0.0710205
"arms industry"	0.0699251
"legal profession"	0.0629451
"household appliance"	0.0607894
"cotton mill"	0.0593043
"fashion industry"	0.0589998
SMIs	0.0586977
machine-building	0.0581103
"human race"	0.0579497
"oil industry"	0.0568004
"labor movement"	0.0556378
"world economy"	0.0533424
LDCS	0.0523232
headgear	0.0514638
"debt market"	0.0502349
"state-owned enterprises"	0.0501731
"securities industry"	0.0500273
"monetary system"	0.0499648
"trucking industry"	0.0496681
"drug business"	0.049501
cager	0.0494969
metallurgy	0.0494885
hosiery	0.0493428
steelmaker	0.0490754
transshipment	0.0488517
"body politic"	0.0485514
IGAD	0.0484555
"housing market"	0.0479472
"steel company"	0.0476006
moccasin	0.0471522
"medical profession"	0.0466906
"stiletto heel"	0.046528
"auto company"	0.0461855
"scientific instrument"	0.0461437
unpleasantness	0.0457144
"food product"	0.045495
"aerospace giant"	0.0452417
backpacker	0.0451223
defibrillator	0.0450318
"medical science"	0.0449871
fibroids	0.0446225
personalization	0.0443716
"foot traffic"	0.0442351
"paper mill"	0.0440834
bullfrog	0.043915
jute	0.0438617
refining	0.0436601
harvesting	0.0434871
cyclicals	0.0433379
"merchant marine"	0.0433304
"business sector"	0.0432069
student-athlete	0.0431859
"telephone directory"	0.0428308
Danka	0.0422103
"elephant population"	0.0422044
"economic system"	0.0420478
"slave trade"	0.0419385
"secondary education"	0.0418766
taxis	0.0418605
emulator	0.0416022
"legal community"	0.0415863
good-neighborly	0.0415841
globalisation	0.0413183
"film industry"	0.0412994
subsector	0.0412453
SMEs	0.040931
jurisprudence	0.040821
"wholesale price index"	0.040751
"Hambrecht &AMP; Quist"	0.0406596
"banking industry"	0.0404781
"insurance market"	0.0403966
"labor pool"	0.0403945
"insurance business"	0.0403502
maquiladoras	0.0403214
"Bay of Bengal"	0.0401315
))
(apparition (desc 4395) (sims
"feast day"	0.0671392
veneration	0.0621911
Crucifixion	0.0573457
Bigfoot	0.0533728
coronation	0.0504045
UFO	0.0487403
juxtaposition	0.0487275
"blue whale"	0.048195
Halo	0.0471134
beings	0.0468451
goings-on	0.0467684
idyll	0.0465887
anticlimax	0.0454253
dragonfly	0.0447854
infallibility	0.0445002
"Last Supper"	0.0440791
pallor	0.0439662
statuette	0.0438034
"Earth Day"	0.0437301
soulmate	0.043389
"Virgin Mary"	0.0433444
"Second Coming"	0.0432785
"Marco Polo"	0.043091
coif	0.0429002
silhouette	0.0422617
phenomena	0.040843
happening	0.0405085
effervescence	0.0402869
"wild horse"	0.0400716
))
(appeal (desc 149931) (sims
plea	0.169631
petition	0.147251
request	0.142658
argument	0.125657
lawsuit	0.121595
call	0.115522
proposal	0.109574
case	0.108656
complaint	0.108351
claim	0.107998
message	0.107791
decision	0.10548
statement	0.103847
criticism	0.100761
recommendation	0.100628
support	0.0993504
challenge	0.0988643
ruling	0.0982669
warning	0.0973908
application	0.0973487
letter	0.0965923
effort	0.0948068
motion	0.0938818
action	0.0929922
hearing	0.0928747
response	0.0923661
popularity	0.0922659
trial	0.0922182
comment	0.0916861
initiative	0.0908747
protest	0.0892256
speech	0.0879712
inquiry	0.0877991
objection	0.0876972
demand	0.087695
review	0.0872758
investigation	0.0871111
suggestion	0.0867769
commitment	0.0864299
pledge	0.085944
success	0.0854229
offer	0.0849663
remark	0.0847379
Declaration	0.0841346
injunction	0.0841226
announcement	0.0840703
testimony	0.0836585
campaign	0.0830058
promise	0.0825346
strategy	0.0817297
vote	0.081622
"legal action"	0.0812135
threat	0.0811687
concern	0.0811451
move	0.08113
desire	0.080873
question	0.0806069
plan	0.0801905
assurance	0.0800981
conviction	0.0800629
attempt	0.0800062
issue	0.0796409
strength	0.0792987
approach	0.0790338
bid	0.0789216
verdict	0.0788599
report	0.0788087
assertion	0.0786839
endorsement	0.0783602
proceeding	0.0782817
appointment	0.0781356
pressure	0.0780938
litigation	0.0774231
opposition	0.077043
prosecution	0.0768255
suit	0.0765973
allegation	0.0763686
condemnation	0.0762851
intervention	0.0759903
agenda	0.0757685
accusation	0.0756644
opinion	0.0755572
charge	0.0754725
apology	0.0753803
judgment	0.075295
change	0.0751333
recognition	0.0750767
overture	0.0750176
ability	0.0749768
nomination	0.0748846
resolution	0.0746418
agreement	0.0746327
approval	0.0746262
interest	0.0745022
need	0.073972
filing	0.0738985
assessment	0.0737824
reaction	0.0736166
idea	0.0733962
rejection	0.0733179
debate	0.0731339
policy	0.0731322
measure	0.0731263
influence	0.0728473
invitation	0.0726787
negotiation	0.0725912
finding	0.072537
power	0.0716347
release	0.071592
talk	0.0713444
extradition	0.0711792
attack	0.0710796
legislation	0.0709834
explanation	0.0709503
discussion	0.0707705
return	0.0706324
visit	0.0703579
representation	0.0702414
potential	0.0701704
appearance	0.0701583
concession	0.0699205
vision	0.0698443
image	0.069778
order	0.0697199
advice	0.0696671
benefit	0.069585
impact	0.0695488
process	0.069411
Dismissal	0.0694088
determination	0.0692243
participation	0.069163
presentation	0.0689989
experience	0.0689462
clemency	0.0688327
brief	0.0688062
acceptance	0.0685601
contribution	0.068445
treatment	0.068344
resignation	0.068253
view	0.0678425
quality	0.0677274
reputation	0.067701
theme	0.0676963
program	0.0676854
performance	0.0676353
attention	0.0674544
court	0.0673777
status	0.0673735
selection	0.0673585
sentence	0.0670389
sense	0.0670142
assistance	0.0668364
enthusiasm	0.0668105
style	0.0667613
Execution	0.066761
charm	0.0665382
tactic	0.0664723
matter	0.0664389
word	0.0664046
law	0.0663003
evidence	0.0661096
settlement	0.0660703
value	0.0660276
conclusion	0.0657717
procedure	0.0657047
chance	0.0656244
role	0.0654016
presence	0.06533
personality	0.0652754
requirement	0.0652196
story	0.0652006
admission	0.0651941
allure	0.0651613
test	0.065136
donation	0.0650893
possibility	0.0650762
credibility	0.0648747
indictment	0.0648414
AD	0.0648382
result	0.0648277
deal	0.06479
sanction	0.0646683
exchange	0.0645777
confirmation	0.0645123
candidacy	0.0644908
Defense	0.0644254
disclosure	0.0643454
responsibility	0.0641866
prospect	0.0639217
bill	0.0638995
gesture	0.0638274
subpoena	0.0638062
denial	0.0637658
reform	0.063607
directive	0.0635952
election	0.0634674
arrest	0.0634361
problem	0.063319
involvement	0.0632515
search	0.0630325
))
("appeals court" (desc 24575.7) (sims
"court of appeals"	0.420591
"appellate court"	0.343712
"U.S. Supreme Court"	0.298513
"Supreme Court"	0.286638
"high court"	0.282838
"state supreme court"	0.27133
"lower court"	0.252014
"federal court"	0.230163
court	0.197346
"U.S. District Court"	0.190363
"Constitutional Court"	0.18654
"trial court"	0.182215
judge	0.179723
"Circuit Court"	0.177273
arbitrator	0.176854
SJC	0.174869
"Court of Appeal"	0.167929
"House of Lords"	0.165343
"US Supreme Court"	0.164261
"Appellate Division"	0.156259
jury	0.155739
panel	0.153068
"Supreme Judicial Court"	0.15161
"Texas Supreme Court"	0.136174
Magistrate	0.13258
"District Court"	0.12578
"superior court"	0.120781
"Federal Communications Commission"	0.11953
FCC	0.117468
"Court of Arbitration"	0.116275
"board of education"	0.112711
tribunal	0.112243
"European Court of Human Rights"	0.11205
Lamberth	0.108757
"National Labor Relations Board"	0.108354
regulator	0.107927
NLRB	0.107078
Feerick	0.106592
"Lahore High Court"	0.105081
"military court"	0.104802
"Parades Commission"	0.102438
"Federal Election Commission"	0.102156
justice	0.102006
"Nevada Athletic Commission"	0.100351
"World Court"	0.0998723
"Food and Drug Administration"	0.0990378
commission	0.0980009
circuit	0.0969812
"Jack Straw"	0.0968355
Senate	0.096714
"criminal court"	0.0962871
"Law Lords"	0.0962126
"Immigration and Naturalization Service"	0.0958784
"International Amateur Athletic Federation"	0.0953252
PUC	0.0951519
FDA	0.0943683
"city council"	0.0934584
"board of regents"	0.0933461
EPA	0.0913965
"Federal District Court"	0.0913618
Teresi	0.0907897
prosecutor	0.0892166
"grand jury"	0.0886487
NCAA	0.0881931
Korman	0.088187
"election commission"	0.0878425
"school board"	0.0876882
ruling	0.0868635
FEC	0.0866138
"Justice Department"	0.0866068
board	0.0861343
"National Court"	0.0860247
"US District Court"	0.0849771
"Federal Trade Commission"	0.0848181
"Securities and Exchange Commission"	0.084771
INS	0.0838448
Council	0.0838333
FTC	0.0837311
Ruthardt	0.0835954
"U.N. Security Council"	0.0832807
FINA	0.0832542
Congress	0.0825524
juror	0.0823441
legislature	0.0819822
committee	0.0817906
"Senate Judiciary Committee"	0.0811664
"International Court of Justice"	0.080883
"House Judiciary Committee"	0.0808311
"Janet Reno"	0.0798688
Baer	0.0794624
IRS	0.0784988
IAAF	0.0782803
"Environmental Protection Agency"	0.0777457
"Judiciary Committee"	0.0774016
"chief justice"	0.0766192
commissioner	0.0761127
Patel	0.0741466
Reno	0.074021
"United Nations Security Council"	0.0738398
"Israeli Cabinet"	0.0735083
"Security Council"	0.0721982
"Nevada State Athletic Commission"	0.0715966
"antitrust regulator"	0.0712541
"Senate Armed Services Committee"	0.0712406
"general assembly"	0.071073
authority	0.0708597
"Department of Transportation"	0.0707925
"U.S. Immigration and Naturalization Service"	0.0701632
"juvenile court"	0.070089
bench	0.0699817
"U.S. State Department"	0.0692773
"House of Representatives"	0.0687516
"House Appropriations Committee"	0.0682075
"European Court of Justice"	0.0681831
UEFA	0.0680156
"European Commission"	0.0677736
"Senate Foreign Relations Committee"	0.0675016
Judiciary	0.0673983
Rehnquist	0.0673966
"International Cycling Union"	0.0673529
"State Department"	0.06725
Jackson	0.0662454
SEC	0.0662254
judgeship	0.0660916
FIFA	0.0658081
"Public Service Commission"	0.0657331
"Senate Banking Committee"	0.0656253
parliament	0.0655029
"Board of Elections"	0.0653828
cabinet	0.0652942
verdict	0.0642764
"federal official"	0.0642062
lawmaker	0.0639747
"U.S. Bankruptcy Court"	0.0636548
"Senate Commerce Committee"	0.0635201
"Justice Ministry"	0.0631969
"World Trade Organization"	0.0629013
"state legislature"	0.0628002
"General Services Administration"	0.0626881
"Commerce Department"	0.0626875
"Interior Department"	0.0626778
"National Transportation Safety Board"	0.0624937
"board of directors"	0.0623719
"Senate Finance Committee"	0.0623689
NRC	0.0621936
WTO	0.0616146
Vatican	0.0613958
Attorney	0.0613683
"Department of Labor"	0.0611549
"Occupational Safety and Health Administration"	0.0603368
"International Olympic Committee"	0.0603076
legislator	0.0602568
"Department of Justice"	0.0598996
"Football Association"	0.0596531
FAA	0.0595593
"EU Commission"	0.0591309
ITF	0.0591227
voter	0.0590669
subcommittee	0.0585831
Duma	0.0584329
"Equal Employment Opportunity Commission"	0.0582292
"Clinton Administration"	0.0581772
wade	0.0581531
referee	0.0579922
ICTR	0.0578242
"House International Relations Committee"	0.0577911
courtroom	0.0573199
"House Ways and Means Committee"	0.0571636
EEOC	0.0570221
"federal government"	0.0570124
statute	0.0569585
"central bank"	0.0568657
"Ethics Commission"	0.0564783
"Federal Aviation Administration"	0.0562646
"Department of Health"	0.0560896
GC	0.0559199
"Tareq Aziz"	0.055518
"European Parliament"	0.0551174
"Truth and Reconciliation Commission"	0.0550952
administration	0.054816
"Los Angeles City Council"	0.0545313
"Organization of Petroleum Exporting Countries"	0.0544679
KPU	0.0541999
"National Academy of Sciences"	0.0541404
"Philippine Stock Exchange"	0.0539091
"ethics committee"	0.0537713
"regulatory agency"	0.0536716
FIA	0.053567
"conference committee"	0.0533924
"public defender"	0.0533469
"House Banking Committee"	0.0532897
ITC	0.053257
doctor	0.0530727
Pentagon	0.0529329
"secretary of state"	0.0526463
"Arab League"	0.0524984
administrator	0.0524759
"Internal Revenue Service"	0.0524403
investigator	0.0522829
"finance committee"	0.0521643
))
(appearance (desc 191362) (sims
speech	0.140112
game	0.134915
performance	0.128265
interview	0.119653
outing	0.11956
victory	0.119259
start	0.118542
event	0.117477
debut	0.116175
meeting	0.113568
"first appearance"	0.113034
"news conference"	0.111638
hearing	0.110221
inning	0.10542
at-bat	0.105139
testimony	0.105083
series	0.101389
visit	0.101168
win	0.100036
concert	0.0982155
remark	0.0978545
trip	0.0976212
stint	0.0974353
show	0.0967654
debate	0.0960276
success	0.0936158
Rally	0.093436
career	0.0932431
announcement	0.0930516
"playoff game"	0.0923498
title	0.0923235
match	0.0920651
comment	0.0915685
race	0.0911667
championship	0.091033
opener	0.0906522
session	0.0905853
ceremony	0.0903605
presentation	0.0901381
loss	0.0896126
record	0.0888674
presence	0.0884908
shutout	0.0882066
"press conference"	0.0878631
statement	0.0875416
tour	0.0874712
contest	0.0860156
"home run"	0.0854641
reception	0.0854346
role	0.0853108
address	0.0845055
season	0.0838361
"home game"	0.0828749
final	0.0827141
"World Series"	0.0826503
fund-raiser	0.0823237
tournament	0.0823047
stop	0.0822476
showing	0.0816502
episode	0.0815837
playoff	0.0815701
defeat	0.0813837
parade	0.0810052
action	0.0805653
"exhibition game"	0.080388
incident	0.080304
round	0.0800011
trial	0.0795728
"Game @"	0.0793123
image	0.0792113
encounter	0.0790631
"road game"	0.0790345
decision	0.0790216
play	0.0781657
workout	0.0780735
berth	0.078063
AD	0.0779856
RBI	0.0777016
case	0.0775624
chance	0.0770769
signing	0.0768715
selection	0.0767961
matchup	0.0763746
first	0.0763297
discussion	0.0763292
appointment	0.076296
broadcast	0.0761765
talk	0.0760853
behavior	0.0760329
run	0.0759539
work	0.0758911
finish	0.075858
demonstration	0.0757775
moment	0.0757663
celebration	0.0756635
style	0.0755917
experience	0.0755715
election	0.0753028
look	0.0752604
doubleheader	0.074901
practice	0.0747529
spot	0.0746791
fight	0.0743106
commercial	0.0742287
goal	0.0740844
test	0.0739302
arrival	0.0731432
gig	0.0729594
gathering	0.072469
opening	0.0724654
vote	0.0723106
triumph	0.0722992
campaign	0.0721487
hit	0.0719659
fact	0.0718597
deposition	0.0717957
arrest	0.0717751
conference	0.0715954
homer	0.0715041
story	0.0714764
showdown	0.0712916
dinner	0.0712705
scene	0.0711712
attack	0.070686
attempt	0.0706602
move	0.0704112
release	0.070319
history	0.0703052
"first time"	0.0702716
appeal	0.0701583
strikeout	0.070126
finale	0.0700721
conversation	0.0700714
departure	0.0700329
era	0.0699579
one	0.0697334
report	0.0693256
competition	0.0690932
sweep	0.0690384
poll	0.0687751
award	0.0686907
number	0.0686327
attendance	0.0685415
effort	0.068522
coverage	0.0683556
primary	0.0682743
deal	0.0682345
"Super Bowl"	0.0682197
convention	0.0681861
time	0.068104
Execution	0.0680895
absence	0.0680743
day	0.067927
forum	0.0675199
argument	0.0673727
life	0.0672161
character	0.0671598
endorsement	0.0671334
special	0.067043
briefing	0.066844
streak	0.0668134
picture	0.0667126
nomination	0.0666885
program	0.0666448
date	0.0665791
comeback	0.0665193
playing	0.0665007
four	0.0664749
personality	0.066436
situation	0.0664312
return	0.0664276
shot	0.06629
activity	0.0662871
question	0.0659347
quality	0.0656426
film	0.0655438
advertisement	0.0653342
Telecast	0.0653034
job	0.0652255
proceeding	0.0651981
"grand slam"	0.0650847
issue	0.0649821
Three	0.0648136
Death	0.064664
accomplishment	0.064644
summit	0.0645414
that	0.0644992
festival	0.0641481
"Super Bowls"	0.0641457
proposal	0.0638258
two	0.0637952
message	0.0636251
Exhibition	0.0635607
"World Cup"	0.0634885
team	0.0634461
shooting	0.0634213
bout	0.0633763
campaigning	0.0633628
display	0.0632178
movie	0.0632176
))
(appeasement (desc 3850.28) (sims
nonintervention	0.0825361
nonalignment	0.0813361
deterrence	0.0771586
containment	0.0754672
detente	0.0748451
barbarism	0.0741759
conciliation	0.073679
pacification	0.0720793
go-slow	0.0668112
protectionism	0.0649565
Openness	0.063608
demonization	0.0626022
procrastination	0.0606489
rapprochement	0.0586683
nonviolence	0.0583377
self-preservation	0.0568053
atonement	0.0565271
cronyism	0.0553222
repentance	0.0551527
assimilation	0.05454
reciprocity	0.0542996
moderation	0.0533864
defiance	0.0528419
austerity	0.052166
Concealment	0.0520542
goodwill	0.0516264
destabilization	0.0516118
backsliding	0.0515224
repression	0.0513124
inaction	0.051292
Hands-off	0.0512659
disavowal	0.0510645
isolationism	0.0509983
capitulation	0.0508307
firmness	0.0507924
easing	0.0498767
diversification	0.0497999
nationalization	0.0497363
"good will"	0.0493987
friendliness	0.0493287
forgiveness	0.0493229
one-China	0.0491615
"double standard"	0.0482011
favoritism	0.047952
laxity	0.0477165
subterfuge	0.0475947
brinksmanship	0.0473182
misjudgments	0.0472369
noninterference	0.0472087
penitence	0.0471213
irresponsibility	0.0458604
expansionist	0.0457937
continuance	0.0456889
vacillation	0.0456349
reintegration	0.0454832
self-destruction	0.0453868
toppling	0.0453335
suppression	0.0453248
non-cooperation	0.0451654
democratization	0.0451373
disunity	0.0449837
largesse	0.0448668
"power politics"	0.0447398
oppression	0.0447161
kindness	0.044127
contrition	0.0439861
Indiscipline	0.0438368
legalism	0.0436002
Vilification	0.043593
peace-building	0.0434572
"New Labor"	0.0432529
rollback	0.0432159
reiteration	0.0428647
"policy change"	0.0424598
decentralization	0.0422671
reappraisal	0.0422153
confiscation	0.0421739
Amity	0.0421146
thawing	0.0413978
deception	0.0413864
electioneering	0.0413675
possiblity	0.0412171
dismemberment	0.0410319
abrogation	0.0409013
tranquillity	0.0407516
malice	0.0407324
intimidation	0.0403173
passivity	0.0402855
outrageousness	0.0402765
colonialism	0.0401738
"trade policy"	0.0401328
abhorrence	0.0401129
self-reliance	0.0401045
treachery	0.0400375
))
("appellate court" (desc 7025.13) (sims
"appeals court"	0.343712
"court of appeals"	0.314973
SJC	0.291569
"U.S. Supreme Court"	0.267179
"Supreme Judicial Court"	0.267102
"US Supreme Court"	0.249863
"state supreme court"	0.245755
"high court"	0.235974
"lower court"	0.231952
"Circuit Court"	0.206019
"trial court"	0.205682
"federal court"	0.202279
"Appellate Division"	0.200482
"Court of Appeal"	0.195783
"Supreme Court"	0.194717
"Constitutional Court"	0.190018
"Texas Supreme Court"	0.17342
arbitrator	0.168937
"District Court"	0.161535
"U.S. District Court"	0.159715
"House of Lords"	0.152008
Feerick	0.151292
NLRB	0.139362
Lamberth	0.137558
Teresi	0.135747
"World Court"	0.130717
"European Court of Human Rights"	0.129977
"Court of Arbitration"	0.122646
Korman	0.121921
"National Court"	0.120799
PUC	0.120129
"superior court"	0.118203
"Parades Commission"	0.11706
"National Labor Relations Board"	0.115936
Baer	0.114405
Bosman	0.113072
"Nevada Athletic Commission"	0.11105
jury	0.108862
Magistrate	0.107878
"Immigration and Naturalization Service"	0.105028
FEC	0.103733
panel	0.103696
"Public Service Commission"	0.103394
"Law Lords"	0.103303
Nickerson	0.10146
FCC	0.0999271
"Federal District Court"	0.0996042
"board of education"	0.0978565
"Jack Straw"	0.0969717
"International Amateur Athletic Federation"	0.0968193
"Occupational Safety and Health Administration"	0.0951063
"military court"	0.0932448
"Department of Transportation"	0.0931879
NRC	0.0929183
"Federal Communications Commission"	0.0922657
"antitrust regulator"	0.0921363
circuit	0.0916156
"Family Court"	0.0915416
Edelstein	0.0890872
"Lahore High Court"	0.0890615
"school board"	0.0882993
"Federal Election Commission"	0.0882196
tribunal	0.0852567
"criminal court"	0.0844303
FTC	0.0843611
Ruthardt	0.083963
"juvenile court"	0.0835863
FINA	0.0832954
"Federal Trade Commission"	0.0827599
"U.S. Bankruptcy Court"	0.0827376
"U.S. Immigration and Naturalization Service"	0.0825624
"Environmental Protection Agency"	0.0825096
IAAF	0.0822941
Rehnquist	0.0818785
"Commission on Human Rights"	0.0811504
"Interior Department"	0.0805985
"board of regents"	0.0803154
"Ethics Commission"	0.0803061
regulator	0.0799072
Patel	0.0797344
"Department of Labor"	0.0796989
"International Court of Justice"	0.0785186
INS	0.0784453
"European Court of Justice"	0.077315
EPA	0.0772183
FDA	0.0767293
"insurance regulator"	0.0765422
EEOC	0.0764581
Folsom	0.0740521
"election commission"	0.0737896
"regulatory agency"	0.0732181
"federal district"	0.0709607
Das	0.0707508
ITF	0.0703527
GC	0.0697316
"Food and Drug Administration"	0.0694062
PSC	0.0689279
"Judiciary Committee"	0.0686224
"Clinton Administration"	0.0685958
CFTC	0.0685385
Whipple	0.068402
"US District Court"	0.0679828
"Consumer Product Safety Commission"	0.0673297
NCAA	0.0661281
Tagliabue	0.0657375
"ethics committee"	0.0656356
"Transportation Department"	0.0654207
"Department of Education"	0.0654004
"Truth Commission"	0.0650354
"Department of Corrections"	0.0648359
"Senate Judiciary Committee"	0.0646554
USATF	0.0643324
"ethics panel"	0.0641314
"House Appropriations Committee"	0.0640747
Reno	0.0636689
"patent office"	0.0635281
ICTR	0.0632932
ITC	0.0631
"Rules Committee"	0.0627208
"federal official"	0.0626173
"General Accounting Office"	0.0621107
legislature	0.0618694
CEC	0.0615344
"Board of Elections"	0.0614847
"chief justice"	0.0614744
HCFA	0.0614255
"Bill Lockyer"	0.0614118
"public defender"	0.0612888
"National Transportation Safety Board"	0.0606935
"Department of Justice"	0.0606708
"Department of Environmental Conservation"	0.0601193
"grand jury"	0.0600038
disbarment	0.0599236
"state legislature"	0.0595281
"General Committee"	0.0592115
"House International Relations Committee"	0.0591574
Ota	0.058736
IRS	0.0586051
"Department of Motor Vehicles"	0.0585969
UEFA	0.0576054
juror	0.0575259
desegregation	0.0572544
"Education Department"	0.0571209
"EU Commission"	0.0571149
Carollo	0.0567857
electorate	0.0566356
"Department of State"	0.0565036
Kaye	0.0563327
Rubinstein	0.0561684
"city council"	0.0561337
"Nuclear Regulatory Commission"	0.0560879
"board of directors"	0.0560172
"European Parliament"	0.0557708
"U.S. Congress"	0.0557371
steward	0.055707
"Board of Supervisors"	0.0555518
"Truth and Reconciliation Commission"	0.0551964
interagency	0.0551926
"Department of Finance"	0.0551234
"World Trade Organization"	0.0549652
referee	0.0548229
Bonner	0.0545746
"Department of Agriculture"	0.054517
"Senate Armed Services Committee"	0.0543526
"House of Representatives"	0.0543155
"Senate Foreign Relations Committee"	0.0543128
OSHA	0.0541693
Judiciary	0.0539852
"Israeli Cabinet"	0.0539829
"John Cornyn"	0.05372
Valeo	0.0536754
"Central Election Commission"	0.0535405
"Equal Employment Opportunity Commission"	0.0535202
"International Cycling Union"	0.0530404
congressmen	0.0530356
"Nevada State Athletic Commission"	0.0530185
"South Carolinian"	0.0528846
Selig	0.0527708
"Department of Environmental Protection"	0.0527581
"conference committee"	0.0527121
"board of trustees"	0.0524875
officals	0.0523219
"House Commerce Committee"	0.0522389
"House Judiciary Committee"	0.0521511
Gao	0.0521474
CMAG	0.05214
"Olympic Trials"	0.0520858
"abortion law"	0.0520276
Westendorp	0.0519847
CITES	0.0519229
"International Tennis Federation"	0.051866
SEC	0.0518217
"Football Association"	0.051709
"Justice Ministry"	0.0513827
"Attorney General"	0.0513274
Miranda	0.0512714
"Janet Reno"	0.0512168
"House Government Reform Committee"	0.0511843
BIA	0.0511508
"Los Angeles City Council"	0.0511222
))
("Appellate Division" (desc 2339.46) (sims
"Supreme Judicial Court"	0.263755
"Texas Supreme Court"	0.23277
"state supreme court"	0.23011
"Court of Appeal"	0.221095
"appellate court"	0.200482
SJC	0.187563
"Lahore High Court"	0.184393
"US Supreme Court"	0.177076
"Circuit Court"	0.174143
"court of appeals"	0.169709
"appeals court"	0.156259
"U.S. Supreme Court"	0.15461
"National Court"	0.150198
"high court"	0.147221
"superior court"	0.141653
"Constitutional Court"	0.138414
"Law Lords"	0.132355
"U.S. District Court"	0.13119
"Court of Arbitration"	0.125455
"lower court"	0.123979
"trial court"	0.120391
"Supreme Court"	0.111078
"World Court"	0.109705
"federal court"	0.107312
"Federal District Court"	0.107023
"District Court"	0.102754
"U.S. Bankruptcy Court"	0.0934913
"U.S. Immigration and Naturalization Service"	0.09305
arbitrator	0.0930264
PUC	0.0906167
Bosman	0.0903369
"House of Lords"	0.0890275
"Court of Final Appeal"	0.0875167
"federal district"	0.0853253
"Parades Commission"	0.0813454
"European Court of Human Rights"	0.0799434
"criminal court"	0.0756617
"chief justice"	0.0731678
NLRB	0.072819
"National Labor Relations Board"	0.0717201
INEC	0.0712845
Baer	0.068617
Nickerson	0.065277
ICTR	0.0633273
"Nevada Athletic Commission"	0.0626229
GC	0.0611075
"International Criminal Tribunal for Rwanda"	0.0607272
Magistrate	0.0599756
ITC	0.0592545
"juvenile court"	0.0584708
Edelstein	0.0578017
Lamberth	0.0576488
"International Badminton Federation"	0.0573425
FEC	0.056922
Feerick	0.0564913
"administrative law"	0.0563362
"Fulton County"	0.0562078
"Public Service Commission"	0.0552871
FINA	0.055278
Das	0.0546125
"European Court of Justice"	0.0542
USATF	0.054041
"General Committee"	0.0534096
Ruthardt	0.0532168
"Interior Department"	0.0531183
"District of Columbia"	0.0514518
"International Court of Justice"	0.0514141
"International Cycling Union"	0.0512282
"military court"	0.05102
"Los Angeles City Council"	0.0509076
"International Amateur Athletic Federation"	0.0501686
"Family Court"	0.0496221
Eisenman	0.0492673
Korman	0.0489952
"election commission"	0.0487738
PSC	0.0486809
EEOC	0.0483658
Mannheim	0.0480183
apex	0.0479417
Rehnquist	0.0478233
"Ministry of International Trade and Industry"	0.0476843
"Council of Guardians"	0.0474804
"board of regents"	0.0471998
"board of education"	0.0471154
"Transport Ministry"	0.0471102
"US District Court"	0.0466647
"Erie County"	0.0464881
"Federal Election Commission"	0.0457991
"Central Bureau of Investigation"	0.0456404
"Nevada State Athletic Commission"	0.0445789
federalism	0.0444658
"King Mswati III"	0.0432681
"Federal Trade Commission"	0.043113
"Broward County"	0.0428581
"vacancy rate"	0.0420643
"board of trustees"	0.041814
ITF	0.0416454
Valeo	0.0416385
NRC	0.0415786
"Occupational Safety and Health Administration"	0.0415179
"Harris County"	0.0411144
CFA	0.0409267
"Polo Grounds"	0.0405583
Storin	0.0402058
"Immigration and Naturalization Service"	0.0402026
))
(appellation (desc 3361.04) (sims
vintner	0.107398
winery	0.0825173
winemaker	0.0804542
Zinfandel	0.0790543
varietals	0.0775223
sobriquet	0.0694334
"Sauvignon blanc"	0.0691529
Chardonnay	0.0666909
grape	0.0638198
merlot	0.062219
"Cabernet Sauvignon"	0.0608124
Cabernet	0.0599109
moniker	0.0567141
identifier	0.0534926
"Pinot noir"	0.0507013
"hard drug"	0.0506507
major-leaguers	0.0499504
"heavy hitter"	0.0493029
adjective	0.0491184
e-tailers	0.0490972
transnationals	0.0482841
aperitif	0.0482423
nouveau	0.0480744
NMD	0.0470344
"transfer payment"	0.0466612
minimalism	0.0464924
standouts	0.0464281
gook	0.0461658
suffix	0.0459053
"Cliffs Notes"	0.0458906
emachines	0.0458532
FireWire	0.0452329
"Tokyo Stock Price Index"	0.0449221
Syrah	0.044416
triage	0.0440993
telemedicine	0.0440012
PACs	0.0439978
conscription	0.0439511
pseudonym	0.0436161
send-off	0.0434135
spas	0.0426589
"admission price"	0.0426435
"mass transit"	0.0424689
"reserve fund"	0.0423452
IPR	0.0422136
TMD	0.0419773
emulation	0.041883
perquisite	0.0416817
velodrome	0.0416604
mem	0.0416
Rhone	0.0415504
locution	0.041145
"computer language"	0.0410949
non-Social	0.0409467
anagram	0.0408767
"test-tube baby"	0.0408098
"open primary"	0.0405412
intranet	0.0403806
"red wine"	0.0402855
"computer application"	0.0401553
))
(appendage (desc 3342.43) (sims
keel	0.064179
guidepost	0.0592681
accoutrement	0.0588691
singularity	0.0558863
vaulter	0.0506421
"pedestrian bridge"	0.050627
"body part"	0.0505513
DV	0.0500838
submersible	0.0492105
"postmaster general"	0.0484477
adjunct	0.0475381
effervescence	0.0474613
prong	0.0469651
stiletto	0.0465597
dreadlocks	0.0464017
genitalia	0.0463477
"grazing land"	0.0460407
"background noise"	0.0457961
torso	0.0455251
"big leaguer"	0.0451078
"component part"	0.0447433
corrective	0.0445395
outrigger	0.0445217
prosthesis	0.0443797
expedient	0.0443724
anticlimax	0.0440795
elements	0.0437928
contortion	0.043567
blinder	0.0434856
subordination	0.0433563
genital	0.0431764
"supporting players"	0.0431447
mast	0.0429643
follicle	0.0426341
incision	0.0425897
"belly dancer"	0.0425092
"time zone"	0.042363
"mechanical device"	0.0414456
"automatic teller machine"	0.0412246
householder	0.0408537
"radio transmitter"	0.040852
scoutmaster	0.0406663
"sailing vessel"	0.0406644
stepchild	0.0406502
"electrical device"	0.0405644
imperfection	0.0404889
"inferiority complex"	0.0403757
nipple	0.0402407
))
(appendix (desc 7273.34) (sims
gallbladder	0.122348
spleen	0.103774
annex	0.10239
bladder	0.0963053
"lymph node"	0.0949903
preface	0.0938724
addendum	0.0915861
foreword	0.0900842
ovary	0.0842437
prostate	0.0831039
aneurysm	0.0794735
booklet	0.0784026
colon	0.0780972
cyst	0.0777923
"water main"	0.0767703
testicle	0.0766621
"achilles tendon"	0.071872
Bibliography	0.0705188
aorta	0.0695406
uterus	0.0685745
epilogue	0.0678724
kidney	0.0653153
paragraph	0.0651735
Achilles	0.064466
toenail	0.0639729
polyp	0.063705
summary	0.0627895
dossier	0.0626452
intestine	0.0599769
esophagus	0.0585908
"legal brief"	0.0569463
brochure	0.0565314
footnote	0.0564474
"one section"	0.0564173
gallstone	0.0564158
Compendium	0.0559263
"reference book"	0.0537
memorandum	0.0536153
"gas line"	0.053441
encyclical	0.0532729
"brain tumor"	0.0527034
glossary	0.0526234
liver	0.0520923
prospectus	0.0514916
postscript	0.051084
manual	0.0510434
preamble	0.0509568
"breast implant"	0.050932
signatory	0.0507685
lung	0.0506911
tumor	0.0504583
"blood vessel"	0.0504309
tonsil	0.0503924
pamphlet	0.050264
printout	0.0494794
tome	0.0492882
pancreas	0.0492302
transcript	0.0492086
compilation	0.048852
dictionary	0.0488431
"yellow pages"	0.0487147
rebuttal	0.0485248
"newspaper advertisement"	0.0480452
"phone book"	0.0477462
directory	0.0468135
"internal organ"	0.0468016
sac	0.0466589
"skin cancer"	0.046463
"water pipe"	0.0464576
fascia	0.0461631
affidavit	0.0458692
manifesto	0.045818
lesion	0.0457794
Zonolite	0.0449372
essay	0.0448521
"Guinness Book"	0.0447791
"telephone directory"	0.0446564
manuscript	0.044636
Encyclopedia	0.0445366
monograph	0.044481
"white paper"	0.0444598
membrane	0.0444156
afterword	0.0443732
coda	0.0439296
eardrum	0.0436141
"telephone book"	0.0433927
gall	0.0433915
larynx	0.0430972
packet	0.0430235
guidebook	0.0429719
"blood clot"	0.0427815
memo	0.0426294
"written material"	0.0425561
"engine failure"	0.0424494
thesis	0.0423926
treatise	0.0423385
clitoris	0.0420808
filing	0.0416059
"spinal cord"	0.041524
"first CD"	0.0407706
"proxy statement"	0.0401855
))
(appetite (desc 36193.4) (sims
thirst	0.166873
hunger	0.132087
enthusiasm	0.131641
craving	0.131245
desire	0.121562
taste	0.111736
passion	0.10969
demand	0.109629
"consumer demand"	0.106249
lust	0.103938
yearning	0.0983532
curiosity	0.0893188
penchant	0.0888128
preference	0.0887688
distaste	0.0871857
patience	0.0864632
willingness	0.0854376
potential	0.0833729
mood	0.0832881
fondness	0.082492
stamina	0.0819229
interest	0.0810236
ego	0.0797039
expectation	0.0791825
confidence	0.0789779
instinct	0.0781907
ability	0.0769942
ambition	0.0768988
ardor	0.0759448
anxiety	0.0743697
fascination	0.0741976
inclination	0.0741881
sentiment	0.0737955
habit	0.0730642
awareness	0.0726175
libido	0.0724126
appreciation	0.0714028
imagination	0.0712685
perception	0.0705608
sense	0.0703813
tolerance	0.0703683
affinity	0.0700645
eagerness	0.0694108
obsession	0.0690887
talent	0.0690419
fervor	0.068718
clamor	0.0683502
zeal	0.0683048
optimism	0.0680795
loyalty	0.067558
clout	0.067407
"blood pressure"	0.0673568
tendency	0.0673453
excitement	0.0673085
motivation	0.0672242
Creativity	0.0671083
longing	0.0668216
"sexual desire"	0.0662552
attention	0.0659495
vision	0.0657077
impulse	0.0653765
apathy	0.0652749
reputation	0.0652582
fear	0.0651682
energy	0.0651415
popularity	0.0646138
courage	0.0645937
emotion	0.0641545
attitude	0.0640553
strength	0.0638687
knack	0.0632149
intensity	0.0625591
nervousness	0.0625513
competitiveness	0.0624386
aggressiveness	0.0622712
anger	0.0619359
feeling	0.061378
skill	0.0612005
sensitivity	0.06092
concentration	0.0609009
affection	0.0602411
palate	0.0601408
resentment	0.0597207
aspiration	0.0597174
momentum	0.0594093
distrust	0.059215
opportunity	0.058999
greed	0.0587959
propensity	0.0586054
craze	0.0584862
sympathy	0.0582925
mania	0.0580301
determination	0.0578974
capacity	0.057782
"investor interest"	0.0577722
vitality	0.0577197
mind	0.0577153
outlook	0.0576504
behavior	0.0574982
frenzy	0.0574091
frustration	0.057129
pessimism	0.0570874
intellect	0.0567742
influence	0.0566813
cynicism	0.0566226
"sense of humor"	0.0564554
aptitude	0.0564532
memory	0.0562627
productivity	0.0562605
infatuation	0.0561898
self-confidence	0.0561269
capability	0.0560767
eye	0.0558064
intelligence	0.0557953
wealth	0.0556386
knowledge	0.0556336
reaction	0.055573
vigor	0.0555542
mobility	0.0555117
flair	0.0552812
audience	0.0550157
consciousness	0.0550139
weakness	0.0548902
"price increase"	0.054884
pressure	0.0548584
pain	0.0548208
demographics	0.0546833
wish	0.0546319
climate	0.0545872
resilience	0.0544907
liquidity	0.0543995
nausea	0.0543925
trust	0.0542622
fatigue	0.05424
disdain	0.0542316
self-esteem	0.0542074
spirit	0.0541054
hatred	0.0540809
personality	0.054016
ire	0.0540041
turnout	0.0539732
resistance	0.0537764
volatility	0.0537575
devotion	0.0535737
morale	0.0535635
mentality	0.0534126
quest	0.0533838
enjoyment	0.0533675
zest	0.0533607
reverence	0.0533543
predilection	0.0531433
influx	0.053029
animosity	0.0529211
outcry	0.0528987
respect	0.0528106
exposure	0.0527656
cough	0.0527166
responsibility	0.0527138
diversity	0.0526818
eyesight	0.0524015
reluctance	0.0523776
speculation	0.0523577
consumption	0.0523113
identity	0.0522706
credibility	0.0521263
stomach	0.0520783
pride	0.0520235
growth	0.0519616
impatience	0.0517636
flow	0.0516945
"crime rate"	0.0516818
charisma	0.051657
confusion	0.051587
discontent	0.0514599
sophistication	0.0513581
urgency	0.0513496
headache	0.0513151
complexity	0.0510636
"common sense"	0.0510396
reflex	0.0510157
profitability	0.0509509
ignorance	0.0509193
presence	0.0508941
symptom	0.0507728
exuberance	0.0507702
weight	0.0507534
"quality of life"	0.0507195
pleasure	0.0506252
fever	0.050521
begging	0.0504287
panic	0.0503783
temperament	0.0503713
uneasiness	0.0502646
viewership	0.0502359
stature	0.0502069
"rising prices"	0.0501394
substitute	0.0501374
uncertainty	0.0501244
generosity	0.0500928
rivalry	0.0500746
))
(appetizer (desc 15022.7) (sims
"side dish"	0.216725
"main course"	0.207416
entree	0.187837
dessert	0.184917
salad	0.170339
sandwich	0.14596
soup	0.144783
canape	0.136988
dish	0.132196
snack	0.117205
pasta	0.116591
pizza	0.111941
steak	0.108976
condiment	0.107387
meal	0.104818
gumbo	0.103531
stew	0.100989
sushi	0.0999583
cake	0.0990073
bread	0.0986198
sauce	0.097878
seafood	0.0947669
drink	0.0913905
taco	0.0872641
cocktail	0.0872576
burgers	0.086822
chicken	0.0850913
fajitas	0.08438
"vegetable soup"	0.0835797
shrimp	0.0835432
biscuit	0.0833583
chowder	0.0830043
sausage	0.0828649
buffet	0.0817631
cooky	0.0805092
cheese	0.0797745
risotto	0.0795837
meat	0.0793787
"chicken salad"	0.0793031
kebab	0.0791675
"chicken wing"	0.0791162
noodle	0.0790091
pie	0.0787852
cereal	0.077307
vegetable	0.0754839
cuisine	0.0747561
broth	0.0745679
wine	0.0742922
Pudding	0.0740231
platter	0.073721
Casserole	0.0737116
Chili	0.0733639
dinner	0.0733208
quesadillas	0.0731209
muffin	0.0728804
spaghetti	0.0728461
"green salad"	0.0727247
pastry	0.0724139
gravy	0.072162
quiche	0.0719788
ravioli	0.0719683
serving	0.0718045
burger	0.0710447
supper	0.0706543
recipe	0.0705146
curry	0.0701819
"afternoon tea"	0.0699952
beverage	0.0695859
lunch	0.06945
"ice cream"	0.0691993
omelet	0.069081
veggie	0.0689944
frittata	0.0688984
ragout	0.0685071
salsa	0.0681922
paella	0.0681548
slice	0.0679765
breakfast	0.0678619
Hamburger	0.0678018
ham	0.0664229
bisque	0.0662475
TART	0.0655943
porridge	0.0654638
marinade	0.0654028
fruit	0.0649511
eggplant	0.0645894
"chicken sandwich"	0.0644596
"peanut butter"	0.0642874
dressing	0.0641888
gratin	0.0641821
brunch	0.064061
dumpling	0.063324
"hot dog"	0.0630119
pork	0.0628399
cracker	0.0627676
bean	0.0627187
enchilada	0.0622998
"macaroni and cheese"	0.0618167
oyster	0.0617257
tomato	0.0614775
cutlet	0.0613963
pancake	0.0612602
Topping	0.0612404
yogurt	0.0610733
candy	0.0609907
"french fries"	0.0608879
"salad dressing"	0.0605143
"potato salad"	0.060365
mozzarella	0.0602052
refreshment	0.0601386
tea	0.0599688
"spring roll"	0.0598921
morsel	0.0598243
stuffing	0.059818
potato	0.0596111
veal	0.0591888
"chicken breast"	0.0590815
menu	0.0590445
lobster	0.0589468
tortilla	0.0585603
Lasagna	0.0583889
Beer	0.0583593
tapa	0.0582818
repast	0.0576696
low-fat	0.0573778
cookie	0.0573057
"baked goods"	0.057262
salmon	0.0562305
focaccia	0.0560573
tortellini	0.0559866
"Caesar salad"	0.0559497
tofu	0.0558126
"chocolate mousse"	0.0557504
delicacy	0.055391
mushroom	0.055192
champagne	0.0551523
"white wine"	0.0546619
specialty	0.0544184
meatloaf	0.0543729
"sparkling wine"	0.0543117
Souffle	0.0540749
flavor	0.0539809
mayonnaise	0.053809
clam	0.0537186
"roast beef"	0.05369
"iced tea"	0.0536297
juice	0.0533446
asparagus	0.0532822
dumplings	0.0532039
doughnut	0.0529749
cookbook	0.0528209
tasting	0.0524677
custard	0.0524346
"scrambled egg"	0.052296
seasoning	0.0522563
Tamale	0.0522287
"filet mignon"	0.0520526
sorbet	0.0518598
slaw	0.0516533
polenta	0.0516445
"goat cheese"	0.0513676
bacon	0.0512856
"cold cuts"	0.0512627
prawn	0.0510992
terrine	0.0510824
smoothie	0.0509717
tuna	0.050964
feast	0.0507733
"cooking oil"	0.0507647
TARTARE	0.0506365
mussel	0.0505889
fillet	0.050583
rice	0.0505471
barbecue	0.0505049
cornbread	0.0504383
FRY	0.0504375
Garnish	0.0502844
pickle	0.050244
pastrami	0.0502165
crab	0.0501169
cucumber	0.0500898
"cream puff"	0.0500575
takeout	0.0500255
concoction	0.0498736
vinaigrette	0.0495947
"corned beef"	0.0493547
"tomato sauce"	0.0491378
calamari	0.0491162
beef	0.0490922
coffee	0.0488805
Burrito	0.0488629
legume	0.0487684
egg	0.0483131
cheeseburger	0.0483114
cabbage	0.0479682
chocolate	0.0478073
SAMPLER	0.0477674
"snack food"	0.0476703
olive	0.047631
"soft drink"	0.04763
))
(Appier (desc 2095.7) (sims
Eldred	0.181061
Kile	0.17659
Checo	0.175273
Yarnall	0.173974
Radke	0.162979
Belcher	0.162731
Velarde	0.159295
Saberhagen	0.158521
Herges	0.158185
Tapani	0.157945
Gagne	0.157491
Schourek	0.155185
Mahomes	0.155112
Mercker	0.153508
Etherton	0.153403
Astacio	0.153042
Halama	0.150309
Schoeneweis	0.149831
"Kevin Appier"	0.144927
Remlinger	0.144695
Borbon	0.142466
Benes	0.141179
Millwood	0.139775
Dreifort	0.13977
Candiotti	0.139259
Fassero	0.138576
Woodard	0.137823
Suppan	0.136939
Bottenfield	0.136616
Sele	0.135497
Mlicki	0.134685
Gooden	0.134544
Harnisch	0.133718
Rueter	0.133587
Dotel	0.133442
Neagle	0.13261
Burkett	0.131133
Valdes	0.13013
Daal	0.130122
"Bryce Florie"	0.130038
Yoshii	0.129493
Reynoso	0.129044
Ankiel	0.128939
Dempster	0.128395
Perisho	0.127933
Loaiza	0.126497
Guzman	0.125605
"Matt Mantei"	0.125088
"Russ Springer"	0.125068
D'Amico	0.124561
"Byung-Hyun Kim"	0.124034
Nomo	0.12361
Stephenson	0.122997
Wohlers	0.122596
Rusch	0.121582
Leiter	0.118134
Mendoza	0.117433
Trachsel	0.117192
Olivares	0.116873
Petkovsek	0.11682
Duchesne	0.116576
Pavano	0.115274
Burba	0.114909
"Jon Lieber"	0.114389
right-hander	0.113838
Moyer	0.112586
Benitez	0.11251
Pettitte	0.112374
Elarton	0.112235
Nagy	0.11144
"John Burkett"	0.111117
Isringhausen	0.110559
Baerga	0.110323
Cormier	0.110299
Laettner	0.11006
Heredia	0.109762
Bohanon	0.109159
Lieber	0.109088
Hentgen	0.108258
Hershiser	0.108076
Wetteland	0.107802
"Curt Schilling"	0.107668
Mulholland	0.107659
"Kent Bottenfield"	0.107275
Mussina	0.107192
estes	0.106766
McDOWELL	0.106545
Hermanson	0.106257
Irabu	0.106142
"Paul Shuey"	0.104349
Osuna	0.104093
Percival	0.104062
"Chuck Finley"	0.103831
Meche	0.103064
Vizcaino	0.103005
"Steve Sparks"	0.102837
Bere	0.102781
"Chris Carpenter"	0.102327
Smoltz	0.102165
"Darren Oliver"	0.101854
Aguilera	0.101758
"Russ Ortiz"	0.10175
Helling	0.101584
Arrojo	0.101449
"Jason Christiansen"	0.101396
Tverdovsky	0.100904
Clement	0.100486
"Dave Mlicki"	0.0999025
"Robb Nen"	0.0998294
"Woody Williams"	0.0996349
"Bret Saberhagen"	0.0990526
"Kevin Tapani"	0.0990036
Parris	0.0989508
"Randy Myers"	0.0981608
Pulsipher	0.0980825
Daigle	0.09723
Cordova	0.0970287
"Jason Bere"	0.0968987
"Tim Belcher"	0.0968452
Schilling	0.0965331
Masaoka	0.096018
"Esteban Loaiza"	0.0959482
Stottlemyre	0.0958425
Avery	0.0957852
Ligtenberg	0.0957488
Glavine	0.0957395
"Jason Isringhausen"	0.0954632
Rapp	0.0952707
Hampton	0.0952288
"Mark Portugal"	0.0948644
Finley	0.0947628
"Greg McMichael"	0.0946264
"Brian Rose"	0.0944508
Hernandez	0.0942021
Harbaugh	0.0939576
"Pat Rapp"	0.0936212
Mantei	0.0931827
Tomko	0.0931229
Grimsley	0.0928136
"Jarrod Washburn"	0.0927422
"Jesse Orosco"	0.0927393
"Ryan Dempster"	0.0926721
Erickson	0.0925554
Ortiz	0.0924501
Crabtree	0.0920645
Brantley	0.0913931
"Gregg Olson"	0.0913627
"Brian Anderson"	0.0912993
"Terry Mulholland"	0.0911823
"El Duque"	0.0911158
Gardner	0.0909906
"Mike Timlin"	0.0908044
"Juan Guzman"	0.0905596
"Livan Hernandez"	0.0905218
"Antonio Osuna"	0.0900083
"Steve Trachsel"	0.0898123
"Shane Reynolds"	0.0895242
"Jesus Sanchez"	0.0893064
"Armando Reynoso"	0.0888261
"Paul Abbott"	0.0885468
"Rod Beck"	0.0885386
"Mike Morgan"	0.0884731
Washburn	0.088259
Abbott	0.0878213
Gilmour	0.087671
"Kirk Rueter"	0.0876294
Zolak	0.0876245
"Omar Olivares"	0.0874898
"Roger Clemens"	0.0873044
"Pete Harnisch"	0.0870221
Passarella	0.0869916
Clemens	0.0869711
"Chan Ho Park"	0.0868924
"Ramon Martinez"	0.0865506
Gilkey	0.0865072
"Rick Aguilera"	0.0863298
Hasegawa	0.086209
Pena	0.0860436
Bure	0.0859997
Fiset	0.0858733
"Kenny Rogers"	0.0857741
left-hander	0.0855744
"Carlos Perez"	0.0855393
Maddux	0.0854269
Cloude	0.0852321
"Gil Meche"	0.0851371
Surhoff	0.084802
McMichael	0.084775
"Eric Milton"	0.0847305
"Hideo Nomo"	0.0846991
Vazquez	0.0846498
Hudek	0.0845971
Contreras	0.0842329
"Ramon Ortiz"	0.0839914
Garces	0.0838989
"Dustin Hermanson"	0.083853
"Bartolo Colon"	0.0835693
"Ryan Glynn"	0.0835679
"Mike Hampton"	0.0834913
Ashby	0.0833774
))
(applause (desc 38287.3) (sims
cheer	0.277039
"standing ovation"	0.252281
ovation	0.237208
laughter	0.207556
boo	0.202913
jeer	0.153749
chant	0.150326
roar	0.144395
shout	0.140295
groan	0.126761
whoop	0.125728
catcall	0.121719
praise	0.121467
clapping	0.108019
adulation	0.103356
laugh	0.101637
acclaim	0.1013
accolade	0.0916845
Hug	0.0915927
chuckle	0.0897594
enthusiasm	0.0863182
criticism	0.0851771
scream	0.0849439
plaudit	0.0843108
murmur	0.0836603
gasp	0.0835963
howl	0.0835756
cry	0.0815967
noise	0.0815882
taunt	0.0812448
chorus	0.08066
smile	0.0786433
derision	0.0784513
sob	0.0781448
guffaw	0.0779544
crowd	0.0762022
sympathy	0.0760832
response	0.0754033
reaction	0.0750312
YAWN	0.0747151
whistle	0.0744989
outrage	0.0723821
silence	0.0720287
giggle	0.0708168
tear	0.070752
attention	0.0682026
protest	0.0674214
excitement	0.0669509
reception	0.0662018
gunfire	0.0657699
emotion	0.0654265
amen	0.0652874
salute	0.0651665
sendoff	0.0651143
admiration	0.0644841
greeting	0.0638375
feedback	0.0634051
high-fives	0.0629279
outcry	0.0629178
delight	0.0629124
condemnation	0.0617621
affection	0.0617165
kudos	0.0614941
endorsement	0.0614875
sigh	0.0613748
burst	0.0608088
shriek	0.0606128
outpouring	0.060094
throng	0.0594556
skepticism	0.0584999
hoot	0.0581649
handshake	0.0576139
scorn	0.057158
buzz	0.0569596
joy	0.0569546
anger	0.0568542
ridicule	0.0568254
"bear hug"	0.0555004
rave	0.0548492
audience	0.0546885
jubilation	0.0546058
complaint	0.0545286
chatter	0.0543349
celebration	0.0534643
comment	0.0533104
outburst	0.0527037
glee	0.0526997
gunshot	0.0526717
confetti	0.0521509
firework	0.0515791
objection	0.0511359
nod	0.0511067
Song	0.0509875
singing	0.0504088
"curtain call"	0.0501904
thumbs-up	0.0501517
backlash	0.050119
encouragement	0.0499938
kiss	0.0499174
thunder	0.0498507
adoration	0.0498168
fury	0.0496147
chanting	0.0491923
dismay	0.0488239
ire	0.048073
speech	0.0476967
drum	0.0476823
frenzy	0.0476438
grin	0.0474776
plea	0.0473162
hostility	0.0473067
appreciation	0.0472428
clamor	0.0464757
uproar	0.0462443
flak	0.0458849
shouting	0.0457271
indignation	0.045713
denunciation	0.0456908
testimonial	0.045614
acceptance	0.0456072
conversation	0.0455723
alarm	0.045541
fanfare	0.0454995
turnout	0.045316
compliment	0.0452434
sentiment	0.0452123
thud	0.045176
optimism	0.0450348
publicity	0.0449349
backing	0.0446104
prayer	0.0441224
gratitude	0.0441118
approval	0.0439084
grief	0.043735
disbelief	0.0435454
euphoria	0.0434318
suggestion	0.0434282
joke	0.0434239
smattering	0.0433476
fervor	0.0432946
controversy	0.0432062
congratulation	0.0432016
headline	0.0431914
satisfaction	0.0431905
esteem	0.0431888
scrutiny	0.0431202
rhetoric	0.0429712
shower	0.0429128
commotion	0.0428321
cacophony	0.042368
frustration	0.0421622
input	0.0420946
"phone call"	0.0419273
passion	0.0418894
recognition	0.0417912
relief	0.0417241
mood	0.0416978
remark	0.0416348
rendition	0.0415535
tribute	0.0415306
explosion	0.0412612
delegate	0.0410789
horde	0.0408376
firecracker	0.0406687
barrage	0.0406157
resentment	0.0405453
pounding	0.0404393
refrain	0.0403485
tone	0.0402397
autograph	0.0402143
))
(apple (desc 77022.6) (sims
tomato	0.194592
pear	0.192426
peach	0.185857
fruit	0.178953
potato	0.174262
onion	0.170665
pineapple	0.170532
mango	0.16613
grape	0.163015
Cherry	0.15994
banana	0.158556
apricot	0.15662
strawberry	0.153422
cucumber	0.152758
blueberry	0.152453
lemon	0.152258
carrot	0.151662
"Apple Computer"	0.150483
fig	0.149609
melon	0.149583
plum	0.147264
bean	0.140172
mushroom	0.13874
"sweet potato"	0.137755
vegetable	0.137601
berry	0.136503
Garlic	0.135577
eggplant	0.135529
almond	0.134325
raspberry	0.133992
watermelon	0.133078
corn	0.132076
avocado	0.131516
nectarine	0.131461
pumpkin	0.12966
pecan	0.129594
beet	0.128095
IBM	0.127709
zucchini	0.12743
Compaq	0.127422
cheese	0.12638
coconut	0.125983
grapefruit	0.124149
cranberry	0.123473
raisin	0.122805
papaya	0.122642
bread	0.122243
pepper	0.122168
sugar	0.119939
celery	0.119643
shallot	0.119433
Orange	0.118764
fennel	0.11799
lettuce	0.117261
Intel	0.11678
lime	0.116163
olive	0.11601
leek	0.115297
"bell pepper"	0.115152
rice	0.114409
pea	0.114389
cabbage	0.114249
ginger	0.113744
chicken	0.113002
"red onion"	0.112316
walnut	0.11201
asparagus	0.11128
meat	0.110877
prune	0.110808
Hewlett-Packard	0.110713
shrimp	0.110174
Dell	0.110051
RHUBARB	0.109975
egg	0.108682
"Apple Computer Inc."	0.107912
"green bean"	0.106702
blackberry	0.105891
mint	0.105839
chocolate	0.105524
cantaloupe	0.105323
herb	0.104792
plantain	0.104778
Broccoli	0.104073
Microsoft	0.103865
Cisco	0.103203
oracle	0.102408
spinach	0.102268
"green onion"	0.101587
pork	0.101418
turnip	0.101232
Novell	0.1012
artichoke	0.100127
cake	0.0997806
vanilla	0.0996552
yogurt	0.0995433
EMC	0.0994024
Quince	0.0992928
"red pepper"	0.0992888
milk	0.0990652
squash	0.0982548
Netscape	0.0978338
nut	0.0977301
peanut	0.0973824
citrus	0.0970652
salad	0.0968314
wheat	0.0960929
cashew	0.0959163
HP	0.0958058
scallion	0.0955888
soybean	0.0955562
sausage	0.0952862
ham	0.0951314
parsley	0.095049
radish	0.094877
coffee	0.0941694
"Sun Microsystems"	0.0937315
honey	0.0935438
wine	0.0931614
grain	0.0931466
cotton	0.0929032
"orange juice"	0.0925372
tea	0.0924965
"green pepper"	0.0921459
Motorola	0.0916385
leaf	0.0916141
cereal	0.0911867
bacon	0.0911115
fish	0.091072
beef	0.0907831
slice	0.0889137
juice	0.0885976
butter	0.0879989
soup	0.0878199
"ice cream"	0.0873549
Kodak	0.0871528
cooky	0.0870098
noodle	0.0868944
"garlic clove"	0.0868076
hazelnut	0.0866288
Sony	0.0860368
Basil	0.0860062
flour	0.0853102
Xerox	0.0847512
chilies	0.0845916
cilantro	0.0844947
sauce	0.0842501
pistachio	0.083149
vinegar	0.083063
clove	0.0829158
pasta	0.0827478
"cherry tomato"	0.0825009
barley	0.0823253
salt	0.0822352
"Silicon Graphics"	0.0820738
"goat cheese"	0.0820533
flower	0.0819917
pie	0.0818723
lentil	0.0810479
chip	0.081032
"peanut butter"	0.0806199
chiles	0.079944
cider	0.0798977
"sugar cane"	0.0796804
spice	0.0795738
salmon	0.079024
tortilla	0.0786169
company	0.0784206
coke	0.0782117
Coca-Cola	0.0779844
jalapeno	0.077783
pomegranate	0.0776412
cauliflower	0.0775545
mustard	0.077516
"sour cream"	0.0774865
chive	0.0772827
"citrus fruit"	0.0772105
steak	0.0771895
truffle	0.076737
cinnamon	0.0763545
RealNetworks	0.0763054
"dried fruit"	0.0762034
maize	0.0761324
Chili	0.0760306
candy	0.075993
okra	0.0757735
food	0.0757302
crop	0.0754833
sandwich	0.0754013
Lucent	0.075033
cream	0.0749811
tuna	0.0748856
"brown sugar"	0.0747882
"Compaq Computer"	0.0745009
"olive oil"	0.0741326
AMD	0.0739618
crumb	0.073562
AOL	0.0733901
Boeing	0.0732417
Nortel	0.0732336
"whipped cream"	0.0730833
))
("Apple Computer" (desc 11770.3) (sims
"Apple Computer Inc."	0.278331
"Sun Microsystems"	0.216544
Hewlett-Packard	0.204308
"Compaq Computer"	0.2043
Novell	0.197535
"Dell Computer"	0.189825
oracle	0.182031
Compaq	0.181567
Cisco	0.180112
IBM	0.176205
"Silicon Graphics"	0.173556
"Texas Instruments"	0.171997
"Cisco Systems"	0.166971
"Sun Microsystems Inc."	0.165416
Motorola	0.165396
Xerox	0.160761
Intuit	0.158243
Intel	0.1552
EMC	0.153584
RealNetworks	0.15355
"Lucent Technologies"	0.151631
"Hewlett-Packard Co."	0.151537
apple	0.150483
"National Semiconductor"	0.148527
"Oracle Corp."	0.146935
"Microsoft Corp."	0.145656
"Intel Corp."	0.145325
Qualcomm	0.140963
"Netscape Communications"	0.140235
HP	0.138954
Netscape	0.138677
"Eastman Kodak"	0.136541
excite	0.134983
Dell	0.131293
"Applied Materials"	0.130934
MACROMEDIA	0.130921
Lucent	0.130446
"General Electric"	0.130376
Ericsson	0.129572
Sony	0.129055
Unisys	0.12847
Honeywell	0.126268
Nortel	0.125869
Microsoft	0.12577
"Dell Computer Corp."	0.12311
"JDS Uniphase"	0.122135
Nokia	0.122084
Corel	0.119607
Gillette	0.119214
Kodak	0.118193
"Netscape Communications Corp."	0.118087
"America Online"	0.117797
"Procter &AMP; Gamble"	0.114955
"American Express"	0.114149
"Compaq Computer Corp."	0.114141
"Advanced Micro Devices"	0.11366
Symantec	0.113058
"IBM Corp."	0.11198
Seagate	0.111573
Pfizer	0.109176
"Red Hat"	0.109133
"Hewlett Packard"	0.109121
"Adobe Systems"	0.108658
Hitachi	0.10726
Priceline.com	0.107008
Yahoo	0.106769
"Real Networks"	0.106436
Mattel	0.105927
"MCI WorldCom"	0.104699
Biogen	0.104494
"Johnson &AMP; Johnson"	0.103521
"Hongkong Telecom"	0.103398
Amgen	0.103265
Dupont	0.103128
Sunbeam	0.102765
Lycos	0.102051
SGI	0.101958
"Micron Technology"	0.100574
"MindSpring Enterprises"	0.100222
EarthLink	0.100104
MindSpring	0.0999563
"General Motors"	0.0988918
Ge	0.0987118
adobe	0.0983283
Checkfree	0.0982566
AMD	0.0981393
"Time Warner"	0.0976091
Amazon.com	0.0974995
"America Online Inc."	0.0973487
Ciena	0.0966806
Genentech	0.0966704
Merck	0.0965257
ETrade	0.0965018
Healtheon	0.0957089
"Digital Equipment"	0.0954842
Emulex	0.0947657
BankAmerica	0.094074
"Home Depot"	0.0935321
Infoseek	0.093497
"Bay Networks"	0.0933478
"International Business Machines Corp."	0.0933174
Polaroid	0.0930331
Micron	0.0928731
Halliburton	0.0927226
Toshiba	0.0925681
Nextel	0.0922575
"Nortel Networks"	0.0921011
"Philip Morris"	0.0915636
Softbank	0.0910088
"Cisco Systems Inc."	0.0908782
ExciteAtHome	0.0906065
E-LOAN	0.0902216
AOL	0.0900092
"International Paper"	0.0898123
NIKE	0.0895481
WorldCom	0.0893955
CNET	0.0893798
Monsanto	0.089266
PEOPLESOFT	0.08908
Nintendo	0.0890351
McKesson	0.0890127
Citigroup	0.0888195
"Network Solutions"	0.0887865
GeoCities	0.0886604
"Computer Associates"	0.088584
ALZA	0.0882725
"Coca-Cola Co."	0.0880446
Philips	0.0880349
"Fannie Mae"	0.0876434
Bertelsmann	0.0876128
"News Corp."	0.0874416
Sears	0.087401
Alcoa	0.0869376
Inktomi	0.086936
"Motorola Inc."	0.086864
"Dow Jones &AMP; Co."	0.086541
"Delta Air Lines"	0.086505
Raytheon	0.0862976
"Microsoft Network"	0.0855728
Gateway	0.0854248
"Ford Motor"	0.0854106
Coca-Cola	0.0851017
"Ford Motor Co."	0.0849521
Anheuser-Busch	0.0845527
DoubleClick	0.0845305
UAL	0.08449
Enron	0.0840177
NEC	0.0839012
BellSouth	0.0838692
Broadcom	0.0830322
Intergraph	0.0828562
Alcatel	0.0828536
MCI	0.0827942
"BP Amoco"	0.0826692
Chrysler	0.0826501
CMGI	0.0825872
Barnesandnoble.com	0.0822112
Sepracor	0.0820616
GTE	0.081996
"Times Mirror"	0.0816409
eBay	0.0813286
"Bell Atlantic"	0.0809076
"Sony Corp."	0.0804319
"Symantec Corp."	0.0801369
NCR	0.080069
"Thermo Electron"	0.0799092
theglobe.com	0.0798842
Exxon	0.079846
Samsung	0.0795911
Aetna	0.0795204
MiniMed	0.0795104
"Network Associates"	0.0793305
Scientific-Atlanta	0.0792702
"British Telecom"	0.0791252
RAMBUS	0.079112
Pitney	0.078979
"Walt Disney Co."	0.0789284
Wal-Mart	0.078504
Disney	0.078399
REVLON	0.0783722
PLDT	0.0782875
"United Technologies"	0.0780689
eToys	0.0780532
"Advanced Micro"	0.0775541
Fujitsu	0.0775062
Webvan	0.0774419
Reebok	0.0774379
Immunex	0.0773445
Qwest	0.077344
iVillage	0.0773217
AIG	0.0771709
ENTREMED	0.0768427
Chiron	0.0768244
CCE	0.0767515
Pepsico	0.0765213
"Lockheed Martin Corp."	0.076443
Drugstore.com	0.0764405
"General Electric Co."	0.0762997
Boeing	0.076045
Kellogg	0.0759732
))
("Apple Computer Inc." (desc 4279.71) (sims
"Apple Computer"	0.278331
"Oracle Corp."	0.180594
"IBM Corp."	0.175059
"Hewlett-Packard Co."	0.169722
"Sun Microsystems Inc."	0.164592
"Dell Computer Corp."	0.161266
"Cisco Systems Inc."	0.150063
"America Online Inc."	0.13635
"Compaq Computer Corp."	0.135712
"Intel Corp."	0.124928
"Netscape Communications Corp."	0.123843
"Advanced Micro Devices Inc."	0.119836
"Motorola Inc."	0.115755
"Microsoft Corp."	0.11312
"MCI Worldcom Inc."	0.110967
"International Business Machines Corp."	0.108012
apple	0.107912
Scientific-Atlanta	0.106714
"Lucent Technologies Inc."	0.101154
SGI	0.100828
IBM	0.0993378
"National Semiconductor"	0.0975531
"General Electric Co."	0.0967805
"Silicon Graphics"	0.0963812
EMC	0.0936118
"Sun Microsystems"	0.0933297
"Lucent Technologies"	0.0930117
"Eastman Kodak Co."	0.0928683
"Advanced Micro Devices"	0.0917626
Novell	0.0906528
MACROMEDIA	0.0894872
Hewlett-Packard	0.0894154
"Dell Computer"	0.0890983
RealNetworks	0.0878992
"Lotus Development Corp."	0.0850661
"Cisco Systems"	0.084924
"Mattel Inc."	0.0847231
Compaq	0.0838607
"Texas Instruments"	0.0836379
oracle	0.0830154
"Halliburton Co."	0.0817624
"Hongkong Telecom"	0.081633
Xerox	0.0809715
Cisco	0.0808698
"HBO &AMP; Co."	0.0796907
"Thermo Electron"	0.0785289
"Red Hat"	0.078381
AMD	0.0775302
LIFFE	0.0768202
"Met Life"	0.0763942
Lucent	0.075341
Honeywell	0.0753242
Amgen	0.074947
HP	0.0746578
Emulex	0.0741034
"Xerox Corp."	0.0740596
BankAmerica	0.073563
"Sprint Corp."	0.0730996
NCR	0.0725805
"Computer Associates"	0.0725623
"Compaq Computer"	0.072513
"Bankers Trust Corp."	0.07249
Ericsson	0.0717737
Intel	0.0714787
Medtronic	0.0710734
Biogen	0.0709887
"Symantec Corp."	0.0707493
Intergraph	0.0704746
DoubleClick	0.070137
Nortel	0.0698009
"Times Mirror"	0.0692828
Dell	0.0692515
Norwest	0.0688492
Cabletron	0.0688127
CCE	0.0685463
Gillette	0.0684997
Halliburton	0.0678293
Motorola	0.067542
Stratus	0.0672379
"Delta Air Lines"	0.0672098
"MCI WorldCom"	0.066973
Healtheon	0.0667232
"Adobe Systems"	0.0664995
"Eastman Kodak"	0.0663584
Cadbury	0.0662177
PEOPLESOFT	0.0660413
"Sony Corp."	0.0659721
Sunbeam	0.0656729
"Levi Strauss &AMP; Co."	0.0653896
Kodak	0.0653784
"Quick &AMP; Reilly"	0.0647061
ExciteAtHome	0.064376
Warnaco	0.0640436
"Liquid Audio"	0.0638436
Broadcom	0.0637197
adobe	0.0635878
"EMC Corp."	0.0630878
"Dow Jones &AMP; Co."	0.0625892
"Gap Inc."	0.0623559
Nestle	0.0622365
"Gillette Co."	0.0617
"Raytheon Co."	0.061488
Ciena	0.0614351
Handspring	0.0613601
"RJR Nabisco"	0.0613348
"BellSouth Corp."	0.0609013
"Coca-Cola Co."	0.0608788
McKesson	0.0608127
AIG	0.060785
Mattel	0.0605499
"General Electric"	0.0605172
"Fannie Mae"	0.0602884
REVLON	0.0600061
"GE Capital"	0.0598771
Maytag	0.0597669
MiniMed	0.0597093
emachines	0.0597016
Intuit	0.0593315
Broderbund	0.0592447
NORTHROP	0.0591033
Genzyme	0.0590518
EarthLink	0.0587068
"Knight Ridder"	0.0580514
"U S West"	0.057871
"Ford Motor"	0.0578542
"Continental Airlines"	0.0577897
Bestfoods	0.0576783
"Walt Disney Co."	0.0574027
TYCO	0.0571051
BofA	0.0569985
TRW	0.0567632
"Hewlett Packard"	0.0567456
"Ford Motor Co."	0.0566945
SFA	0.0563855
Cendant	0.056362
"Procter &AMP; Gamble"	0.0562659
WPP	0.0558238
ALZA	0.0558198
"General Motors"	0.0557501
Nokia	0.0556819
"Charles Schwab &AMP; Co."	0.0556811
"Coca-Cola Enterprises"	0.0554735
Qualcomm	0.0553066
Unisys	0.0552427
"T Corp."	0.0551508
VENATOR	0.0550798
"P&AMP;G"	0.0550252
Corel	0.0549814
Raytheon	0.0549459
ACB	0.0549371
Echostar	0.0548374
HKMA	0.0548159
"BP Amoco"	0.0547621
"New York Times Co."	0.0546738
"Bank of Montreal"	0.0546326
"Boeing Co."	0.0546113
"Sara Lee"	0.0545568
"NEC Corp."	0.0544655
CompUSA	0.0544531
Netscape	0.0543955
Barclays	0.0541837
UBS	0.0532179
"Bank of Scotland"	0.0532099
"Livent Inc."	0.0531884
CellPro	0.0531024
"Phelps Dodge"	0.0530932
Checkfree	0.0530821
Sony	0.0530705
Inktomi	0.0530673
Texaco	0.0529812
"Diamond Multimedia"	0.0528665
"Andersen Consulting"	0.0526651
Bertelsmann	0.0524887
Polaroid	0.0524197
Instinet	0.0523537
Pitney	0.052315
"Johnson &AMP; Johnson"	0.0523055
Marketspan	0.0522694
Informix	0.0522483
Citigroup	0.0522083
Inc.	0.0522073
"Bell Labs"	0.0517486
"Bell Atlantic"	0.0516908
"Digital Equipment Corp."	0.0516447
Enron	0.0516087
Hasbro	0.051526
"UAL Corp."	0.0513575
"auto company"	0.051334
"CMGI Inc."	0.0512719
Chiron	0.0511415
ITT	0.0510223
"Advanced Micro"	0.0510114
SmithKline	0.0508547
Kellogg	0.0508115
WebMD	0.0505807
Hewlett	0.050519
MP@.com	0.0504535
NatWest	0.0504192
"MindSpring Enterprises"	0.0504131
"Chase Manhattan Corp."	0.0503867
))
("apple juice" (desc 4398.32) (sims
"orange juice"	0.227406
cider	0.223061
"pineapple juice"	0.211953
"cranberry juice"	0.191513
lemonade	0.169239
"chicken stock"	0.165789
"fruit juice"	0.160893
"tomato juice"	0.159168
"coconut milk"	0.158268
"lime juice"	0.156927
"lemon juice"	0.156502
juice	0.15235
buttermilk	0.150972
"cider vinegar"	0.150902
"heavy cream"	0.146027
"skim milk"	0.145466
rum	0.143798
"evaporated milk"	0.141847
half-and-half	0.13957
"grapefruit juice"	0.138668
Calvados	0.137613
"brown sugar"	0.137261
"mineral water"	0.135142
"corn syrup"	0.13359
vinegar	0.132345
"white wine"	0.129726
"chicken broth"	0.126436
tequila	0.123542
"soy sauce"	0.122284
molasses	0.121996
sherry	0.120993
bourbon	0.119421
applesauce	0.118333
brandy	0.115642
milk	0.114845
Cognac	0.114265
"beef broth"	0.114097
whisky	0.112911
"red wine"	0.112118
"Grand Marnier"	0.11146
"tomato sauce"	0.110213
vodka	0.110052
"sour cream"	0.109483
"whipping cream"	0.108343
"egg yolk"	0.107957
liqueur	0.107125
"peanut butter"	0.106746
"maple syrup"	0.106588
coconut	0.105411
syrup	0.105259
raisin	0.104665
"green tea"	0.103224
whiskey	0.103184
shortening	0.102941
ketchup	0.102551
"peanut oil"	0.102534
pineapple	0.102484
cornmeal	0.101987
"ice water"	0.101893
"root beer"	0.101509
"chili sauce"	0.101353
yogurt	0.100437
sugar	0.0998927
"wine vinegar"	0.0995335
"olive oil"	0.0993282
cocoa	0.0991692
"beef stock"	0.0975549
"hoisin sauce"	0.09644
hazelnut	0.0964255
blueberry	0.0961893
soda	0.0929434
broth	0.092605
puree	0.0920633
"orange marmalade"	0.0915025
raspberry	0.0911473
honey	0.0907569
scotch	0.0907185
florets	0.0904786
"soft drink"	0.0890857
"cottage cheese"	0.0878759
"Worcestershire sauce"	0.0878685
panko	0.0873218
"hot chocolate"	0.0871981
gin	0.0871477
margarine	0.0868583
"tomato paste"	0.0868317
"iced tea"	0.0864735
cinnamon	0.086368
mango	0.0862591
cornstarch	0.0860724
cream	0.0856831
"vegetable oil"	0.0855862
mayonnaise	0.0842024
coffee	0.0831535
"dried fruit"	0.0826425
tomato	0.0825546
lard	0.0824044
onion	0.0822787
"ground beef"	0.082017
apricot	0.0818308
"Dom Perignon"	0.0817259
"pine nut"	0.081666
lentil	0.081133
croutons	0.0810851
flour	0.0795553
nectar	0.0790067
pistachio	0.0788698
mustard	0.0786931
ricotta	0.0785073
ginger	0.078444
champagne	0.0782073
bouillon	0.078002
oatmeal	0.0776876
tea	0.0774357
"black tea"	0.0773707
cranberry	0.0773148
"sea food"	0.0766858
"cooking oil"	0.0766249
"bean sprout"	0.0760101
butter	0.0757971
liquor	0.0756292
chocolate	0.0756036
vanilla	0.0747976
vermouth	0.0746446
"orange zest"	0.0743983
"alcoholic beverage"	0.0740529
salt	0.0739508
"egg white"	0.073561
Garlic	0.0735501
"tap water"	0.0733154
KIMCHI	0.0729625
"white rice"	0.0725233
cheese	0.0723765
banana	0.0716388
eggnog	0.0714148
ale	0.0705522
walnut	0.0701561
espresso	0.0701126
pecan	0.0701118
shallot	0.0700385
yolk	0.0700361
low-fat	0.0696238
Liquid	0.0693758
"ginger ale"	0.0692944
beverage	0.0692258
"barbecue sauce"	0.0688249
blackberry	0.0686565
breadcrumb	0.0686215
marshmallow	0.0684954
Masa	0.0673835
crumb	0.0673417
parsley	0.0672622
"well water"	0.066955
tahini	0.0669521
lemon	0.0666835
sauce	0.0664358
"snow pea"	0.0660349
"lemon zest"	0.066023
paprika	0.0652694
horseradish	0.0652219
"soda pop"	0.0647693
bubbly	0.0646921
"spring water"	0.0645544
coke	0.0645074
absinthe	0.064153
cilantro	0.0641375
cola	0.0641211
cashew	0.063734
"sesame seed"	0.0635704
"Diet Coke"	0.063241
polenta	0.0630902
pea	0.0626297
"macadamia nut"	0.0622346
lime	0.0619448
"cream cheese"	0.0616918
antifreeze	0.0616301
"blue cheese"	0.0615779
jelly	0.0612893
oat	0.0611892
"fruit salad"	0.0611093
yeast	0.0611006
herb	0.0610251
"milk chocolate"	0.0609807
mint	0.0607721
chive	0.060673
"black bean"	0.0605562
"chili powder"	0.0605349
kernel	0.0602584
"hot sauce"	0.0601528
cappuccino	0.0601301
Zinfandel	0.0600881
peppercorn	0.0599182
"chili pepper"	0.0598138
tofu	0.0594697
shrimp	0.059202
RHUBARB	0.0589747
"whipped cream"	0.058542
FETA	0.05838
celery	0.0583154
"pumpkin seed"	0.0582288
))
("apple pie" (desc 5101.81) (sims
"pumpkin pie"	0.16403
pie	0.134644
"chocolate cake"	0.116075
"chocolate chip cookie"	0.115811
meatloaf	0.107062
scone	0.106468
croissant	0.104989
"pecan pie"	0.101819
muffin	0.100862
cheesecake	0.0992379
matzoh	0.0912236
"french fries"	0.0910365
"chicken sandwich"	0.0898081
"potato salad"	0.0893351
"pound cake"	0.0888304
"baked goods"	0.0879225
pizza	0.0873584
cupcake	0.083418
bread	0.081533
brownie	0.080967
cornbread	0.0800654
pastry	0.0795255
cake	0.0790791
biscotti	0.0768139
COBBLER	0.0749577
doughnut	0.0748985
"ice cream"	0.0747878
TART	0.0741078
cooky	0.0737799
bagel	0.0724529
Lasagna	0.0720587
nacho	0.0718584
"macaroni and cheese"	0.0702415
"Caesar salad"	0.0698494
"cream puff"	0.0692973
ravioli	0.069245
stuffing	0.068807
shortcake	0.0680486
"sweet potato"	0.0679956
bun	0.0676911
biscuit	0.0661927
"white bread"	0.0661463
lox	0.0661188
cookie	0.0659266
custard	0.0651385
baguette	0.0645468
"hot dog"	0.0641028
pasta	0.0639906
milkshake	0.0638913
fudge	0.0634394
Hamburger	0.0633841
"winter squash"	0.0633197
brisket	0.0633142
Souffle	0.0628779
salad	0.06228
Chili	0.061634
fruitcake	0.0612617
taco	0.0611119
"chicken salad"	0.0610113
"potato chip"	0.0609295
steak	0.0606871
sausage	0.0606724
matzo	0.0606566
paella	0.0604312
quiche	0.059673
"chicken wing"	0.0593633
"pie crust"	0.0589757
popcorn	0.0587698
macaroni	0.0582031
Casserole	0.05799
dessert	0.0572278
pastrami	0.0569219
loaf	0.056459
ham	0.0559269
"raw meat"	0.055613
sushi	0.055493
"creme brulee"	0.0554704
Pudding	0.0554396
tortilla	0.0552723
curd	0.0548863
pancake	0.0543509
pumpkin	0.0541884
"cold cuts"	0.0538121
"fruit salad"	0.052923
cappuccino	0.0528437
"chocolate mousse"	0.0528107
pasty	0.0527099
lemonade	0.0526636
focaccia	0.0524197
"peanut butter"	0.0523819
veal	0.0523298
polenta	0.0520977
"Earth's crust"	0.0517845
dumpling	0.0517563
pineapple	0.0516443
"frozen yogurt"	0.0512333
enchilada	0.0508054
"pie shell"	0.0505938
pickle	0.050346
bacon	0.0500709
"iced tea"	0.0496531
"vanilla ice cream"	0.0494841
"femme fatale"	0.0491936
mutton	0.0487701
eggplant	0.0487077
gumbo	0.0486435
spaetzle	0.0484294
parquet	0.0482443
donut	0.0481715
"loaf of bread"	0.0481288
praline	0.0480336
soda	0.047992
"black-eyed pea"	0.0478789
croutons	0.047674
salami	0.0475194
burgers	0.0470124
"hot chocolate"	0.0466955
plantain	0.0465918
spaghetti	0.0465771
cheeseburger	0.0463454
buttermilk	0.046316
"goat cheese"	0.0461864
okra	0.0461417
Jell-O	0.0460895
"foie gras"	0.0460627
burger	0.0453412
"Liberty Bell"	0.0453341
Twinkies	0.0453282
espresso	0.0449179
"corned beef"	0.044852
"chicken soup"	0.0448164
"wedding cake"	0.0447786
fig	0.0447211
"hush puppy"	0.0442187
brie	0.0440159
brioche	0.0439528
coleslaw	0.043499
granola	0.0434444
Quince	0.0434085
"pot roast"	0.0431034
flan	0.0429291
rind	0.0428384
lobster	0.0426227
"chicken breast"	0.0424633
clam	0.0423966
pecan	0.0423819
watermelon	0.0418953
"Vidalia onion"	0.041883
queso	0.0417453
"filet mignon"	0.0415423
"party favor"	0.0415353
"sea bass"	0.0414946
pear	0.0414908
meringue	0.0412666
"vegetable soup"	0.0412529
"layer cake"	0.0412248
"gefilte fish"	0.0411944
yeast	0.041033
noodle	0.0410037
cranberry	0.0408051
"green bean"	0.0407594
"American Dream"	0.0404722
marshmallow	0.0402757
))
(Appleby (desc 2348.02) (sims
Stadler	0.173412
Gogel	0.158377
Faldo	0.148479
Elkington	0.144157
Montgomerie	0.143961
Cink	0.131664
Stricker	0.131409
Duval	0.129789
Kuehne	0.127277
Parnevik	0.125821
Fleisher	0.125225
Janzen	0.124666
BEGAY	0.123976
Azinger	0.123689
Mickelson	0.122442
Hoch	0.121043
Inkster	0.118381
Olazabal	0.117532
Mayfair	0.114533
Calcavecchia	0.113747
Maruyama	0.112333
Mallon	0.112246
Nicklaus	0.111795
Sorenstam	0.111352
Dragila	0.11034
Boldon	0.108483
Daly	0.108182
O'Meara	0.108165
Skiles	0.10774
Irvan	0.10569
Lawrie	0.104085
Andrade	0.103899
"Tom Watson"	0.10387
Singh	0.103765
Lehman	0.103761
Capriati	0.102776
Ozaki	0.101923
Heinrichs	0.100772
Ganassi	0.100349
Clarke	0.0997752
Fulmer	0.0997663
Furyk	0.0992553
Laperriere	0.098912
Irwin	0.0986746
Inman	0.0983949
Triplett	0.0982532
Maggert	0.0977371
Pantani	0.0976146
"Fred Couples"	0.0970938
Colbert	0.0958533
Schmid	0.0954921
Solis	0.095333
Pincay	0.0950482
Andreychuk	0.0950451
Rahal	0.0940492
Khannouchi	0.0938503
Kenseth	0.0932572
Laudrup	0.0926767
Passarella	0.0926578
Loroupe	0.0921643
McGuire	0.0921127
Boilermakers	0.0919215
Atwood	0.0918692
beamer	0.0917924
Dougherty	0.0916219
Nadler	0.091191
"Gil Morgan"	0.0910527
Pippig	0.0910439
Langham	0.0907741
Biffle	0.0906599
Sahadi	0.0903035
"Van Roost"	0.0902597
Atler	0.0893154
Zanardi	0.089251
Borrego	0.0892488
Garcia	0.0889451
Mandella	0.0889184
Devers	0.0884237
Joyner-Kersee	0.088374
Azizah	0.0882518
Cota	0.0878189
Raznatovic	0.0878127
Valenzuela	0.0874066
Soyinka	0.0871844
Pak	0.087074
Romanowski	0.0870576
Browne	0.0870489
Donato	0.0867256
Molinari	0.0865555
McGinnis	0.0863311
Okada	0.086215
Chuasiriporn	0.0857625
Ainge	0.0857538
O'Sullivan	0.0855287
Andretti	0.0853894
Karlsson	0.0853142
Monahan	0.0852228
"Davis Love III"	0.0852012
Silverstein	0.085169
Laudor	0.0851465
Huston	0.0849287
Copeland	0.0847914
Quigley	0.0847667
"Nick Price"	0.0842338
Summitt	0.0841378
Krayzelburg	0.0840422
Finkel	0.0839437
Westwood	0.0838966
Kuerten	0.0836906
"Stuart Appleby"	0.0834215
Moog	0.0832817
Webb	0.0830239
Paltrow	0.08302
Davies	0.0829239
Bratton	0.0827667
Minutemen	0.0826758
Kaye	0.0824779
Samuelson	0.0823861
Luyendyk	0.0823548
"Earnhardt Jr."	0.0823222
Hoffmann	0.0821347
Tomey	0.0817515
Brister	0.081687
Waltrip	0.0816567
Durant	0.0813292
Ochoa	0.0806331
Farber	0.0806215
Zito	0.0800924
Neumann	0.0798978
Krzyzewski	0.0798887
"David Duval"	0.0798747
Lehane	0.07942
Gosper	0.0793519
Unser	0.0792888
Dickson	0.0792613
Cabrera	0.0792441
Klim	0.0791939
"Lee Janzen"	0.0791735
Virenque	0.0790288
Solich	0.0788447
Knievel	0.0788437
D'Alessandro	0.078653
Fleischer	0.0786331
Hyman	0.0784677
McDOWELL	0.0783691
Boardman	0.0783518
"Tiger Woods"	0.0781952
Corretja	0.0779782
"Mark Brooks"	0.0778926
Davie	0.0778364
Herron	0.07775
Schmitt	0.0773618
Vasser	0.0772323
Chmura	0.0771968
Gooding	0.0771742
Katsav	0.0769752
Sheehan	0.0769411
Meissnitzer	0.0768328
Meissner	0.0767289
Eizenstat	0.0766795
Mendez	0.0765579
Crenshaw	0.0764947
Brack	0.0764916
"Scarlet Knights"	0.0764158
Tanui	0.0762466
Poole	0.07624
Jimenez	0.0761907
Shinn	0.0758305
Kane	0.0757157
Kasparov	0.0756834
McCartney	0.0756381
Piot	0.0756362
"Jack Nicklaus"	0.075549
Zubov	0.0753185
"Mark O'Meara"	0.0752805
Prewitt	0.0750803
McCormack	0.0749535
"Davis Love"	0.0749442
Tapia	0.0748859
Harbaugh	0.0748846
Cowan	0.0748158
Shipman	0.0747682
Jauron	0.0747186
guo	0.0746598
Ivanisevic	0.0745695
Paulson	0.0745522
Bierhoff	0.0745316
Echols	0.0744593
Krajicek	0.0744325
el	0.0743402
Smyers	0.0742438
McGregor	0.0741626
O'Connell	0.0739946
Makinen	0.073985
Savon	0.0736555
Auriemma	0.0735702
Mullin	0.0735533
Neulander	0.0734736
Waldorf	0.0734106
Yount	0.0733792
))
(Applegate (desc 1115.86) (sims
Midler	0.101577
Lagerfeld	0.0848715
Flanagan	0.0826942
Tilberis	0.0818285
Wolfson	0.0811947
McDonnell	0.0757555
Maher	0.0739241
Mohr	0.0735705
Skiles	0.0707497
Bertelli	0.0706828
Winslet	0.0695847
Bolger	0.0694359
Bruton	0.0691927
Rossotti	0.0688272
Gleason	0.0677934
McAlister	0.0677871
Gooding	0.0677448
Briere	0.0671117
Wildhorn	0.0669635
Cleese	0.0664641
Moonves	0.0663935
Connery	0.0663448
Spielman	0.0662694
Tanaka	0.0655805
Begala	0.0653283
Sanan	0.065153
GERE	0.0648862
Kimball	0.064375
Pape	0.064175
Baum	0.0634459
Keitel	0.0633818
nance	0.0633191
Whalen	0.063219
Leno	0.0629964
Radojevic	0.0629198
McMullen	0.0627226
GUMBEL	0.0627128
Koskinen	0.0624978
Ingraham	0.0620962
Judd	0.0619269
Newsome	0.0618688
Triplett	0.0615921
McLaughlin	0.0613465
Rabe	0.0612006
Coffey	0.060293
Boller	0.0602645
Arens	0.0600776
Winkler	0.0599781
BANDERAS	0.0598397
"market watcher"	0.0597416
Piot	0.0596963
Heyward	0.059663
Bochco	0.0594273
Stillman	0.059423
Schlessinger	0.0590797
Jaffe	0.0590196
Cui	0.0589756
Nolte	0.0589302
McNabb	0.058602
Lang	0.0584003
JOYNER	0.0583626
DiCaprio	0.0577213
McQueen	0.0573987
Kilborn	0.0571296
Hagel	0.0569296
Affleck	0.056496
"Betsey Johnson"	0.0564335
Stiller	0.0563699
Demps	0.0558414
Leetch	0.0557675
Godwin	0.0556121
Shandling	0.0554314
Limbaugh	0.055288
Schroder	0.0550225
"Donatella Versace"	0.0548992
Sawyer	0.0545267
Kennelly	0.0543589
Streep	0.0543529
Hamill	0.0542741
F.A	0.05418
Cusack	0.0541654
Shamshad	0.0540687
TDB	0.0539349
Mullin	0.053736
Schieffer	0.0536506
Cody	0.0534898
Showalter	0.0533691
Couric	0.0532872
Philbin	0.0530384
Stayner	0.0529541
Winn	0.0529271
Ratner	0.052884
Galbraith	0.0528641
Wagoner	0.0526741
Mullen	0.0526388
Winfrey	0.0526043
Harrelson	0.0525795
Spacey	0.0525443
Pascal	0.0525244
Jamison	0.0523854
McIntyre	0.0523411
Devine	0.0522713
Babcock	0.0520958
Pollack	0.0519872
Singson	0.051933
McIlvaine	0.0518948
Heche	0.0517301
Hyman	0.0517051
Ruehe	0.0516958
Lacroix	0.051664
Detmer	0.0515834
Kidman	0.0515444
Harkes	0.0515073
O'Connell	0.0514328
Caray	0.0513926
Costner	0.0513016
Zadornov	0.0511711
"La Russa"	0.0511542
hare	0.0508925
Hoch	0.0508685
Eisner	0.0508554
Deneuve	0.050661
Bronfman	0.0505383
Romar	0.0504582
Storin	0.0503884
Cohn	0.0503506
Paterno	0.0503265
Posner	0.0503006
Krall	0.0502947
Farber	0.0502945
Bogart	0.0502884
IEA	0.0502262
Schmid	0.0500032
Zarb	0.0499038
Yarnall	0.0498785
Sheedy	0.0498244
Tomlin	0.0497525
Ekeus	0.0496886
Bening	0.0496836
Eastwood	0.0496657
Girard	0.049599
Walser	0.0494048
Pittman	0.0492448
Liao	0.0492388
Jovanovic	0.0492078
Wasserman	0.0490282
Cao	0.0489909
Squier	0.0488587
McCurry	0.0488482
Lamberth	0.0487791
Brunner	0.048762
Sobel	0.0486699
Glover	0.0486682
Sheehan	0.0486612
BEGAY	0.0486554
Braugher	0.0486083
Jayakumar	0.048586
Maharaj	0.0484017
Antoine	0.0483933
ISSEL	0.0483434
Garvey	0.0483357
Royce	0.0483019
Dixon	0.0481642
"Lee Hsien Loong"	0.0481048
Cortines	0.0478683
Donato	0.0478412
Burnett	0.0477595
Rendell	0.0474522
Silverstein	0.0473377
Ciampi	0.0473173
Kasoulides	0.0472998
Neff	0.0472542
Abdur-Rahim	0.0471927
Boorman	0.0471397
Hartley	0.0471059
SSB	0.0470198
Whitacre	0.0470142
Kuehne	0.0469969
Donnelly	0.0468674
Eubanks	0.0468669
MacLean	0.0467145
McGuinness	0.0467011
Moser	0.0465865
NBC-TV	0.0465256
Rong	0.0463932
Grassley	0.0463897
Broderick	0.0463591
Zellweger	0.046354
Hollins	0.0461167
Manson	0.0461031
Reiner	0.0460833
Ashrawi	0.0460227
Kurtz	0.0459635
Dench	0.0458831
Falco	0.0458751
Eizenstat	0.0457954
Millar	0.0457713
Lansky	0.0457263
Neely	0.0456193
Massey	0.0454729
))
(applesauce (desc 2343.16) (sims
"coconut milk"	0.17481
"skim milk"	0.17156
mayonnaise	0.164429
"pineapple juice"	0.161246
"chicken stock"	0.157392
"beef broth"	0.146447
"heavy cream"	0.143638
"whipping cream"	0.14306
yogurt	0.141552
half-and-half	0.139311
"chicken broth"	0.138421
"beef stock"	0.137129
"peanut oil"	0.136763
guacamole	0.133486
"cottage cheese"	0.131988
granola	0.12868
buttermilk	0.12804
blueberry	0.127208
"brown sugar"	0.122074
fraiche	0.119301
"apple juice"	0.118333
florets	0.116944
"peanut butter"	0.116555
marshmallow	0.116548
"tomato juice"	0.114662
tahini	0.114338
"tomato sauce"	0.113391
"cream cheese"	0.113069
"lima bean"	0.111344
"white rice"	0.111211
raisin	0.109661
croutons	0.108299
"pinto bean"	0.107994
"evaporated milk"	0.107111
lard	0.106639
"orange juice"	0.106229
"hoisin sauce"	0.105694
cornmeal	0.104399
oatmeal	0.10416
ketchup	0.103563
"cider vinegar"	0.103338
flour	0.102953
bulgur	0.102194
jelly	0.102194
"fruit juice"	0.1011
"water chestnut"	0.100944
macaroni	0.0988308
"snow pea"	0.0977441
pineapple	0.0976898
cider	0.0974999
spaetzle	0.0971784
"tomato paste"	0.0966115
coconut	0.0954747
"lemon juice"	0.0948183
raspberry	0.0940407
"maple syrup"	0.0935906
sauerkraut	0.09207
"lime juice"	0.0918412
lentil	0.0917362
"sour cream"	0.0904661
molasses	0.0904544
"spaghetti sauce"	0.0902729
oat	0.0895118
lettuce	0.0892538
vinegar	0.0873794
honey	0.0871091
tomato	0.0869535
broth	0.0867065
"string bean"	0.0858098
"raw vegetable"	0.0854989
pasta	0.0854014
cereal	0.0847344
"white wine"	0.0845751
juice	0.0844006
"black olive"	0.0842624
butter	0.083967
"M&AMP;Ms"	0.0838729
lemonade	0.0833879
shortcake	0.0831314
"whipped cream"	0.0823028
"cheddar cheese"	0.0820423
puree	0.0813292
cocoa	0.08098
meatball	0.0807247
"egg yolk"	0.0803862
onion	0.07912
"pine nut"	0.0790386
celery	0.0789967
margarine	0.0789737
"powdered milk"	0.0787959
currant	0.0786165
vanilla	0.0784861
Chickpea	0.0783549
"bean sprout"	0.0781742
mustard	0.0780232
biscuit	0.0776963
chutney	0.0775577
"tuna fish"	0.0775081
noodle	0.0773962
"winter squash"	0.0773204
"vegetable soup"	0.0772958
Masa	0.0768052
"macaroni and cheese"	0.0764841
"olive oil"	0.076111
beet	0.0761042
"dried fruit"	0.0759888
"brown rice"	0.0757209
syrup	0.0756335
porridge	0.0755998
"green bean"	0.0753494
cabbage	0.0752967
Broccoli	0.0752573
low-fat	0.0749254
"grapefruit juice"	0.0749207
pecan	0.0743471
"potato chip"	0.0742138
"citrus fruit"	0.0736555
pea	0.0735598
cauliflower	0.0731887
muffin	0.0724456
"macadamia nut"	0.0723832
salsa	0.0720469
horseradish	0.0720321
"goat cheese"	0.0717025
"tortilla chip"	0.0712004
spinach	0.0711407
"sweet potato"	0.0709769
leek	0.0706773
cracker	0.0701351
"Swiss chard"	0.0701334
curd	0.0701192
crumb	0.0699177
polenta	0.0699138
"vanilla ice cream"	0.0699021
"white bean"	0.069812
preserves	0.0697891
"chili sauce"	0.0697712
"salad dressing"	0.0695053
ham	0.0691852
turnip	0.0686655
zucchini	0.0685544
"barbecue sauce"	0.0684118
tofu	0.0680315
"condensed milk"	0.0679821
Kale	0.0679648
"dairy product"	0.0678362
spaghetti	0.0674253
"fava bean"	0.0673433
canola	0.0672251
meatloaf	0.0671925
matzoh	0.0671341
dressing	0.0670973
ravioli	0.0664615
"canned food"	0.0664497
"chocolate mousse"	0.0661874
carrot	0.0658861
apricot	0.0658406
"lemon zest"	0.0655177
tuna	0.0654558
blackberry	0.0654334
"wild rice"	0.0652723
Calvados	0.0647068
"oreo cookie"	0.064684
bran	0.0646391
"soy sauce"	0.0644207
pumpkin	0.0643698
"wine vinegar"	0.0641871
peach	0.064134
papaya	0.0641224
"cake mix"	0.0639715
cornbread	0.063966
Topping	0.0638985
gnocchi	0.0637649
Garlic	0.0637477
pickle	0.063711
"red onion"	0.0636165
"green pepper"	0.0635585
"ground beef"	0.0635429
"raw meat"	0.0634623
gravy	0.0634382
"black bean"	0.0633013
shortening	0.0632012
avocado	0.0631686
"pepper sauce"	0.0629596
"grated cheese"	0.0628984
"hot sauce"	0.0628447
okra	0.0619118
RHUBARB	0.0614507
salami	0.0613881
mango	0.0611026
"blue cheese"	0.0610536
paprika	0.0610455
"cayenne pepper"	0.0610239
olive	0.0606597
ricotta	0.0606309
Cherry	0.060329
"baked goods"	0.0603129
chilies	0.0602967
veggie	0.0602602
sausage	0.0598845
))
(Applewhite (desc 5044.1) (sims
Brees	0.197991
Weinke	0.185816
McCown	0.177839
Brunell	0.167258
"Major Applewhite"	0.162888
Griese	0.160056
Favre	0.158665
Plummer	0.15531
Huard	0.155226
Kanell	0.15336
"Chris Weinke"	0.148507
McNown	0.144718
"Trent Green"	0.144074
Hasselbeck	0.141551
Kitna	0.140445
Outzen	0.137826
"Tee Martin"	0.135677
Vick	0.135628
Brady	0.13439
"Kent Graham"	0.132849
"Van Raaphorst"	0.132529
DeBerg	0.128555
Paus	0.127249
Aikman	0.125433
Brister	0.125432
Pederson	0.123084
"Brian Griese"	0.122963
Bledsoe	0.120888
Testaverde	0.12087
"Kurt Warner"	0.120242
"Jake Plummer"	0.120185
Garrett	0.119716
"Vinny Testaverde"	0.118661
Chandler	0.118262
"Chris Chandler"	0.118118
Manning	0.117453
"Jon Kitna"	0.11682
"Glenn Foley"	0.11659
"Drew Bledsoe"	0.115061
McNabb	0.114476
Marino	0.114226
"Steve McNair"	0.11345
Kealy	0.113123
"Cade McNown"	0.111762
"Jarious Jackson"	0.111384
"Troy Aikman"	0.111155
Mirer	0.109131
"Doug Johnson"	0.108842
"Joe Hamilton"	0.107032
Flutie	0.107026
Cunningham	0.106639
"Rob Johnson"	0.105674
crouch	0.104715
"Todd Husak"	0.104313
McNair	0.104289
Zolak	0.1041
"Dan Marino"	0.103864
"Doug Flutie"	0.103712
Graziani	0.102865
Harbaugh	0.102634
"Kerry Collins"	0.102261
Grbac	0.102034
"Drew Brees"	0.101508
"Mark Brunell"	0.101398
Palmer	0.101067
"Tony Banks"	0.100845
"Tim Couch"	0.100578
"Peyton Manning"	0.0994682
"Doug Pederson"	0.098372
Boller	0.0978282
Gannon	0.0976961
McCann	0.0976164
"Chad Pennington"	0.0974696
"Carson Palmer"	0.0973297
Henson	0.0961818
"Mike Van Raaphorst"	0.0960494
Elway	0.0956667
"Steve Young"	0.0952062
"Dave Brown"	0.0948033
Farris	0.094388
"Bubby Brister"	0.0929397
"John Elway"	0.0921036
Detmer	0.0916661
"Quincy Carter"	0.0912008
"Jeff Garcia"	0.0904574
Tupa	0.0898548
"Jeff George"	0.0897124
"Rich Gannon"	0.0896083
Druckenmiller	0.0894534
Warner	0.0890718
Marinovich	0.0888911
Bonner	0.0887787
"Jason Garrett"	0.0885209
"Damon Huard"	0.0884579
"Brett Favre"	0.0882313
"Steve DeBerg"	0.0878808
"Jeff Blake"	0.0876006
Kapono	0.086424
"Neil O'Donnell"	0.0864123
"Erik Kramer"	0.0859139
"Brad Johnson"	0.0855757
Tuiasosopo	0.0852953
Fizer	0.0843779
"Marcus Outzen"	0.0841865
"Steve Beuerlein"	0.0841568
"Warren Moon"	0.0840504
"Trent Dilfer"	0.0839488
"Ryan Kealy"	0.0836584
"Akili Smith"	0.0834908
"Randall Cunningham"	0.08296
"Ray Lucas"	0.0826057
"Bobby Hoying"	0.0826014
Dilfer	0.0819947
"Elvis Grbac"	0.0816929
"Rick Mirer"	0.0814839
Fiedler	0.0810925
"Chris Simms"	0.0803627
Foley	0.0802692
"Ryan McCann"	0.0790014
"Kordell Stewart"	0.0788704
"Ryan Leaf"	0.0787626
Redman	0.078732
"Drew Henson"	0.0777422
"Michael Bishop"	0.0777253
"Ty Detmer"	0.0772457
Nagy	0.0765778
Newcombe	0.0763353
"Paul Justin"	0.0759189
Sooners	0.0755891
O'Donnell	0.0754612
Faulk	0.0750393
"Danny Wuerffel"	0.0749373
"Donovan McNabb"	0.0744604
"Brock Huard"	0.0737691
Najera	0.0737134
El-Amin	0.0735615
"Gus Frerotte"	0.0728604
Lucas	0.0722978
Helton	0.0721958
"Drew Bennett"	0.0719134
"Charlie Batch"	0.0718468
Erickson	0.0709504
Geiger	0.0704773
Jenkins	0.0704687
"Keith Smith"	0.0702414
"Tom Brady"	0.0699222
"Cory Paus"	0.0698077
Dayne	0.0682346
Kramer	0.0678702
Culpepper	0.0675452
"Daunte Culpepper"	0.0673607
Dorsey	0.067288
Stackhouse	0.0672285
Carr	0.067202
Yarnall	0.0670157
Avery	0.0668021
Pennington	0.0663654
"Bobby Newcombe"	0.066248
Cormier	0.0660516
"Joe Montana"	0.0657509
Soward	0.0656623
Sehorn	0.065623
McKinley	0.0649902
"Terry Bradshaw"	0.0648474
Benitez	0.0645883
STALEY	0.0643873
Simms	0.0642951
"Jim Druckenmiller"	0.0642634
Mathis	0.0639324
Gooden	0.0638424
Moyer	0.0631092
Mahomes	0.0630358
"Scott Zolak"	0.062791
"Danny Kanell"	0.0627106
"Trung Canidate"	0.0626898
Lieberthal	0.0626677
Baugh	0.0626634
Aggies	0.0626268
Barkley	0.0625604
collins	0.0624773
Randall	0.0622157
Wohlers	0.0620483
Daubach	0.0618965
McMahon	0.0616436
Watts	0.0614858
Hollandsworth	0.0614474
Muoneke	0.0613282
couch	0.0612965
Rusch	0.0611002
Flaherty	0.0610028
Casey	0.0608554
Drew	0.0607493
Sherrill	0.0607209
"Phil Simms"	0.0606835
Elam	0.0603837
"Van Exel"	0.0603509
beamer	0.0602165
Elliott	0.0600417
Ripken	0.0599384
Cooper	0.0598038
))
(appliance (desc 41051.6) (sims
"household appliance"	0.296392
"home appliance"	0.246981
electronics	0.211899
"building material"	0.209296
machinery	0.204145
furniture	0.190724
equipment	0.189645
textile	0.187711
semiconductor	0.180916
"consumer electronics"	0.180577
"consumer goods"	0.179877
automobile	0.178474
"machine tool"	0.17136
pharmaceutical	0.170737
conditioner	0.169898
"tv set"	0.16885
foodstuff	0.16885
garment	0.166716
"washing machine"	0.165751
cosmetic	0.16531
air-conditioner	0.164177
"personal computer"	0.163379
footwear	0.160386
"electronic equipment"	0.157753
product	0.157691
jewelry	0.157101
Computer	0.15531
Clothing	0.154205
apparel	0.153376
goods	0.151714
toy	0.151458
petrochemical	0.150615
auto	0.150127
"communications equipment"	0.149952
refrigerator	0.148748
"motor vehicle"	0.147508
hardware	0.146873
handicraft	0.146385
device	0.146091
furnishings	0.142487
"spare part"	0.142183
accessory	0.141831
"durable goods"	0.141326
"television set"	0.139928
PC	0.139127
ceramic	0.137509
machine	0.135145
"water heater"	0.135061
"food product"	0.135054
"integrated circuit"	0.134144
"microwave oven"	0.133418
software	0.131533
chemical	0.130646
gadget	0.130209
metallurgy	0.130034
utensil	0.128641
"cellular phone"	0.127447
"raw material"	0.125682
fertilizer	0.124131
"electronic device"	0.123886
"office furniture"	0.123236
knitwear	0.123161
item	0.122872
"computer hardware"	0.121016
steel	0.119606
housewares	0.11942
tool	0.118148
generator	0.117978
"fax machine"	0.117346
printer	0.115955
"chemical industry"	0.115518
copier	0.115178
"hand-held computer"	0.115114
VCR	0.114873
shoe	0.114391
cement	0.114237
"kitchen appliance"	0.114148
"cellular telephone"	0.113755
component	0.11343
telecommunication	0.113381
Motorcycle	0.112229
stereo	0.111598
"sewing machine"	0.111425
petroleum	0.111246
kitchenware	0.111089
"electric fan"	0.111036
peripheral	0.110939
machine-building	0.110875
material	0.110771
stove	0.1105
cloth	0.10996
beverage	0.109846
metal	0.108856
"color television"	0.10806
"computer equipment"	0.107576
commodity	0.107399
plastic	0.107342
phone	0.107239
bicycle	0.106975
telephone	0.106079
"consumer durables"	0.105746
medicine	0.105727
food	0.105398
server	0.105321
pagers	0.104954
workstation	0.104902
"alcoholic beverage"	0.103275
stationery	0.103216
merchandise	0.103065
shipbuilding	0.102618
"sports equipment"	0.102331
lumber	0.10209
carpet	0.102075
modem	0.101394
toiletry	0.101193
gear	0.100965
"passenger car"	0.100775
cookware	0.0996789
plumbing	0.0996593
instrument	0.0991393
"memory chip"	0.0989004
processing	0.0982288
car	0.0978932
"disk drive"	0.0975388
scanner	0.0972708
"video game"	0.0966539
engine	0.0966062
"software product"	0.0957365
technology	0.0954694
tableware	0.0953427
vehicle	0.0952303
toaster	0.095229
cigarette	0.0949544
chip	0.0948977
bedding	0.0946049
electricity	0.0944998
camera	0.0943963
"household product"	0.0941908
"CD player"	0.0941702
"vacuum cleaner"	0.0941303
dishwasher	0.094064
tire	0.0940542
glassware	0.0938581
battery	0.0937162
fabric	0.0929039
"palm oil"	0.0928623
"medical instrument"	0.0926911
newsprint	0.0926418
kit	0.092345
"desktop computer"	0.0923139
liquor	0.0918946
mineral	0.0915986
recorder	0.0915261
Microelectronics	0.0914638
motor	0.0911741
cooker	0.0910415
"dairy product"	0.0908416
collectibles	0.0908219
"diesel engine"	0.0905203
"electric power"	0.0902267
fuel	0.0898351
laptop	0.0896729
"aircraft part"	0.0894311
"laptop computer"	0.0892522
Coal	0.0890573
lamp	0.0890508
"circuit board"	0.0884037
"frozen food"	0.0882673
aerospace	0.0877888
detergent	0.0876292
"lighting fixture"	0.0871353
microchip	0.0868914
box	0.0866683
computing	0.0865761
"scientific instrument"	0.0865503
flooring	0.0863843
microprocessor	0.0860124
"security system"	0.0859867
tractor	0.0859174
heater	0.0858903
"greeting card"	0.0858441
"stereo system"	0.0857344
leather	0.0855389
rug	0.0854612
lubricant	0.0854342
supply	0.0854139
jewellery	0.0853995
"pet food"	0.0846452
electric	0.0846242
timber	0.084337
ware	0.0842851
perfume	0.0841037
"power tool"	0.0839437
"soft drink"	0.0838463
compressor	0.0837656
transformer	0.0837312
sportswear	0.0836002
camcorders	0.0833847
rubber	0.0833528
bioengineering	0.0830875
))
(applicability (desc 2060.07) (sims
promulgation	0.102664
Constitutionality	0.0956132
"Revised Version"	0.0875253
nullification	0.0822382
abrogation	0.0787554
relevance	0.0766957
validity	0.0759155
renegotiation	0.0719455
drafters	0.0688291
Reauthorization	0.0674252
enactment	0.065952
annulment	0.0650916
formulation	0.0634228
abolition	0.0631145
underpinnings	0.0627868
"business processe"	0.0609618
revocation	0.0599123
efficacy	0.0591883
feasibility	0.0589488
appropriateness	0.0584445
finalization	0.0583232
"geographical area"	0.058229
drafting	0.0567308
elaboration	0.0565514
"distinctive feature"	0.0564
contravention	0.0563341
"Article @@@"	0.0560996
respects	0.0559803
dissemination	0.0556018
harmonization	0.0551654
legitimacy	0.0543622
expiration	0.0543349
"Article @"	0.0542307
"Article @@"	0.0541747
reevaluation	0.0540051
imposition	0.0538045
parameter	0.0537862
"financial obligation"	0.0536709
reintroduction	0.0532551
primacy	0.0530918
abolishment	0.0529068
overviews	0.0523705
legality	0.0512147
suffrage	0.0510976
intricacy	0.0508838
scrapping	0.0508751
expiry	0.0503953
"basic principle"	0.0502192
centrality	0.0495557
remotes	0.0480788
"moral obligation"	0.0474255
fallibility	0.0473899
"market penetration"	0.0472282
reorientation	0.0471003
reexamination	0.0469402
politicization	0.0467056
restatement	0.0464834
committment	0.0464528
paucity	0.046064
usefulness	0.0460464
"Ninety-five percent"	0.0455718
misinterpretation	0.0450873
debit	0.0449594
purview	0.0446062
"retail operation"	0.0439983
loosening	0.0437473
assistances	0.0435864
repudiation	0.0432774
aftereffect	0.0426669
materialization	0.0425382
obeisance	0.0423797
"sphere of influence"	0.0423249
"debt service"	0.0420128
progenitor	0.0417771
co-chairs	0.0416802
accessibility	0.0415084
subordination	0.0413974
ineptness	0.0413266
soundness	0.0412653
disparagement	0.04121
acceptability	0.0411287
perversion	0.0410578
precept	0.0410528
"Official Development Assistance"	0.0410194
counterclaim	0.0410131
"health benefit"	0.0409422
side-effects	0.0408196
possiblity	0.0407783
rowdiness	0.0406623
catechism	0.0404358
"third night"	0.0404207
))
(applicant (desc 46929.4) (sims
student	0.138612
employee	0.122266
application	0.119192
buyer	0.117826
borrower	0.117054
customer	0.114833
recipient	0.113303
candidate	0.113036
worker	0.111407
individual	0.110543
immigrant	0.106334
patient	0.105208
graduate	0.105159
foreigner	0.103428
participant	0.102393
recruit	0.102225
athlete	0.102053
teacher	0.101365
people	0.101333
user	0.101269
resident	0.100108
contestant	0.100034
citizen	0.0972011
bidder	0.09708
visitor	0.0966186
job-seekers	0.0965123
"home buyer"	0.095631
inmate	0.0953909
"job seeker"	0.0944443
donor	0.0944017
client	0.0943053
voter	0.0942809
pupil	0.0939588
"college student"	0.0934584
person	0.0933207
consumer	0.0928468
homeowner	0.092647
claimant	0.0919056
shopper	0.0918417
youngster	0.0915347
woman	0.0914175
professional	0.0913176
member	0.0910551
subscriber	0.0908021
migrant	0.0905585
enlistee	0.0902549
traveler	0.0901977
volunteer	0.0889392
child	0.0881535
taxpayer	0.0873109
farmer	0.0870471
Reader	0.0865599
purchaser	0.0861518
passenger	0.0859755
businessmen	0.0859103
enrollee	0.0853878
adult	0.085203
retiree	0.0850793
Hispanic	0.0849316
household	0.0844135
doctor	0.0841702
defendant	0.0836402
respondent	0.0835085
investor	0.082731
plaintiff	0.0824339
senior	0.0820518
policyholder	0.0819722
entrepreneur	0.0819326
refugee	0.0817727
personnel	0.0817415
laborer	0.0813757
enterprise	0.0812193
parent	0.0812012
employer	0.0810007
freshmen	0.0806624
"union member"	0.0805017
tourist	0.0802749
prisoner	0.0802715
contractor	0.0802063
Cuban	0.0799908
teens	0.079666
viewer	0.0796484
delegate	0.0795781
offender	0.0795478
"senior citizen"	0.0793731
motorist	0.0793722
"faculty member"	0.0791569
elector	0.0780561
Filipino	0.0780413
smoker	0.0777894
driver	0.0775605
journalist	0.07686
Mexican	0.0767844
company	0.076432
tenant	0.0762624
officer	0.076156
trainee	0.0760676
cardholders	0.0760378
nominee	0.0758015
American	0.0758
victim	0.0757453
beneficiary	0.0756667
minority	0.0755144
"civil servant"	0.0750477
listener	0.0749906
"family member"	0.0749207
those	0.0747686
pilot	0.0746549
detainee	0.0742902
exhibitor	0.0741164
scientist	0.073672
caller	0.073464
African-American	0.0734101
Latino	0.07289
man	0.0728822
player	0.0728104
female	0.0721231
juror	0.071994
"staff member"	0.0715529
"financial institution"	0.0710258
physician	0.0709737
youth	0.0709462
teen-ager	0.0706755
family	0.0706622
"temporary worker"	0.0706383
guest	0.0705142
owner	0.0704831
black	0.0704581
centenarian	0.0703535
"military personnel"	0.0703099
schoolchildren	0.0703007
developer	0.0702112
Haitian	0.0691762
kid	0.0690425
sufferer	0.0687834
entrant	0.0687762
appointee	0.0686411
"Sri Lankans"	0.0684258
"elected official"	0.0684133
male	0.0682898
"public servant"	0.0682556
"drug addict"	0.0681236
Canadian	0.0679569
firm	0.0677873
undergraduate	0.0673403
Beijingers	0.0672774
surfer	0.067142
competitor	0.0669798
hopefuls	0.0667559
criminal	0.0667192
servicemen	0.0665337
debtor	0.0665284
attendees	0.0665144
seeker	0.066193
depositor	0.0661918
patron	0.0661643
dealer	0.0660213
"police officer"	0.0659038
Iraqi	0.065659
girl	0.0654613
aspirant	0.0652816
returnees	0.0652412
enrollment	0.0651893
firefighters	0.0648724
"application form"	0.0648398
relative	0.0646036
artist	0.0643878
broker	0.0643154
"AIDS patient"	0.0642946
holder	0.0642593
anyone	0.0642121
dropout	0.0641956
"farm worker"	0.0641863
reservist	0.0641242
veteran	0.0640697
"business traveler"	0.063971
"people of color"	0.0638336
rider	0.0638179
"South African"	0.0637846
lawyer	0.0637753
eligibility	0.0637451
"university student"	0.0637403
Jew	0.0635957
pensioner	0.0635711
trader	0.0635167
request	0.0633582
Palestinian	0.0633541
Texan	0.0632564
others	0.0631621
technician	0.063104
corporation	0.0630377
Asian-Americans	0.0629158
Californian	0.0628971
student-athletes	0.0627829
population	0.0627788
villager	0.0627471
sailor	0.0626865
Georgian	0.0626559
someone	0.0623924
"blood donor"	0.0623651
))
(application (desc 132162) (sims
software	0.152476
request	0.136312
petition	0.129364
technology	0.129317
use	0.120531
applicant	0.119192
program	0.117704
system	0.117447
product	0.116199
development	0.112869
document	0.110929
transaction	0.109679
service	0.109372
procedure	0.109066
access	0.108154
information	0.106735
complaint	0.105476
proposal	0.104586
"operating system"	0.103958
research	0.102022
registration	0.101662
requirement	0.100734
Computer	0.0999363
project	0.0996258
data	0.0989243
Implementation	0.0986435
device	0.0985172
appeal	0.0973487
plan	0.0971479
payment	0.0970286
tool	0.0958684
purchase	0.0955006
communication	0.0951624
patent	0.0948519
business	0.0947769
database	0.0945023
distribution	0.0943911
adoption	0.0943273
processing	0.0940668
claim	0.0939046
investment	0.0937148
protection	0.0936583
method	0.093628
equipment	0.0935414
form	0.0933603
"application form"	0.0930951
filing	0.0928867
operation	0.0926435
infrastructure	0.0924542
testing	0.0922531
capability	0.0915206
design	0.0915164
transfer	0.0912242
reform	0.0911716
innovation	0.0907676
management	0.0903344
user	0.0902062
material	0.0901853
entry	0.089774
demand	0.0897692
hardware	0.0893433
Promotion	0.0893294
production	0.0890346
policy	0.0888805
case	0.0883106
browser	0.0882749
measure	0.0882256
introduction	0.0879722
activity	0.0879189
license	0.0878599
sale	0.0877657
recommendation	0.0877145
provision	0.0873192
card	0.0872557
approval	0.0870125
offer	0.0869398
Advertising	0.0868985
exchange	0.0867757
fee	0.0865737
process	0.0864636
financing	0.0864384
education	0.0863654
letter	0.0861983
standard	0.0857307
funding	0.0855303
marketing	0.0854732
legislation	0.0854169
technique	0.0854024
file	0.0853334
utilization	0.0852242
email	0.0852075
network	0.0849915
resource	0.0849096
treatment	0.0847831
networking	0.0847072
strategy	0.0845331
support	0.0842736
regulation	0.0842633
e-commerce	0.0840589
assistance	0.0837566
law	0.0835601
construction	0.0833511
participation	0.0832078
cooperation	0.0829237
expansion	0.0827139
bill	0.0826938
lawsuit	0.0826867
improvement	0.0825911
solution	0.0825628
trade	0.0822149
test	0.0822012
"information technology"	0.0821693
permit	0.0821391
PC	0.0821166
enforcement	0.0817057
package	0.0816757
training	0.0816166
donation	0.0810759
computing	0.0810109
questionnaire	0.0808002
function	0.0804832
item	0.0804027
agreement	0.0803725
study	0.0803215
issue	0.080245
content	0.0801737
site	0.0801561
evaluation	0.0800756
paperwork	0.0800303
Internet	0.0798943
work	0.0798798
"personal computer"	0.079728
review	0.0796843
server	0.0796834
sector	0.0795715
bid	0.0795471
manufacturing	0.0795265
feature	0.0795165
benefit	0.0791168
industry	0.0791053
customer	0.0790361
initiative	0.0790226
option	0.0788322
change	0.0787574
agriculture	0.078739
arrangement	0.0786733
commerce	0.0786365
report	0.0782786
market	0.077969
integration	0.0777817
planning	0.0777252
usage	0.0772566
expertise	0.0772485
acquisition	0.0772416
aspect	0.0772187
delivery	0.0771001
decision	0.076694
analysis	0.0766608
number	0.0766273
enterprise	0.076534
version	0.0763898
certificate	0.0762634
fund	0.0760132
input	0.0759513
upgrade	0.0759126
machine	0.075806
matter	0.0757698
maintenance	0.0757201
admission	0.0756816
model	0.075672
listing	0.0755698
need	0.0755144
effort	0.0754773
component	0.0754162
revision	0.0753987
environment	0.0753323
transmission	0.0752351
idea	0.075147
acceptance	0.0751277
science	0.0750078
publication	0.0748716
code	0.0748448
check	0.0748105
inquiry	0.0747999
loan	0.0746687
growth	0.0745966
telecommunication	0.0745031
concept	0.0743935
contribution	0.0743078
"information service"	0.0742999
account	0.074293
action	0.0742502
installation	0.0742472
documentation	0.0742387
cost	0.0740073
company	0.0739526
engineering	0.0739164
response	0.0737503
export	0.0737401
guideline	0.0737214
))
("application form" (desc 4380.83) (sims
"order form"	0.188961
"tax form"	0.15129
questionnaire	0.123076
brochure	0.0964642
worksheet	0.0909505
documentation	0.0905836
"identity card"	0.0865253
"written material"	0.0859995
prospectus	0.0855218
certificate	0.0848142
"speeding ticket"	0.0846392
pamphlet	0.083284
paperwork	0.0816463
booklet	0.0811541
"airplane ticket"	0.0810619
"boarding pass"	0.080196
"floor plan"	0.0779667
invoice	0.0765407
"absentee ballot"	0.0738025
checklist	0.0729098
manual	0.0720047
registrant	0.0715553
"birth certificate"	0.0708548
"loan application"	0.0704546
summary	0.0693445
VMs	0.0690294
"medical record"	0.0686925
"name and address"	0.068176
coupon	0.0676956
"membership card"	0.0673312
passport	0.0672699
"tax return"	0.0667178
"driver's license"	0.0663492
manuscript	0.0660027
"personal letter"	0.0658255
leaflet	0.0651629
postcard	0.0651238
"bank statement"	0.0648733
applicant	0.0648398
"income tax return"	0.064379
"parking ticket"	0.0643724
"business card"	0.0643134
"life jacket"	0.0635709
"instruction manual"	0.0632488
transcript	0.0631533
memo	0.0629375
W-@	0.0628122
"Social Security number"	0.0627603
syllabus	0.0625333
"data system"	0.0622771
"street address"	0.061901
"account statement"	0.061869
"credit report"	0.061869
dossier	0.0611769
"purchase order"	0.0611168
calculator	0.06076
"Iranian POWs"	0.0607143
prescription	0.0606725
glossary	0.0606578
"source code"	0.060351
"marriage license"	0.0602258
"Iraqi POWs"	0.0595852
password	0.0595068
handbook	0.0592772
"raw data"	0.0585441
"legal brief"	0.058343
"retail operation"	0.0580304
"computer file"	0.0578435
workbook	0.0578116
"business plan"	0.0572049
licence	0.0571255
"test data"	0.0570037
"work permit"	0.0568026
deserter	0.056788
audio	0.0563367
directory	0.056212
condom	0.0560194
stub	0.0559339
"building permit"	0.0557845
correspondence	0.0555378
"legal document"	0.0555093
VCDs	0.0550902
cheque	0.0549833
formality	0.0548302
"telephone number"	0.0548262
"money order"	0.0548177
everytime	0.0547868
sq.km	0.0545209
cassette	0.0544317
"sheet of paper"	0.0542928
"point system"	0.0538912
newsletter	0.0536761
"distress signal"	0.0536713
"progress report"	0.0535945
ID	0.0532281
monograph	0.0530098
packet	0.0529126
flier	0.0528545
diary	0.0525418
roadmap	0.0524393
catalogue	0.0523048
textbook	0.0521522
"phone number"	0.0520793
laid-offs	0.0516367
readout	0.0511192
discography	0.0504575
specification	0.0504544
freebies	0.0502346
"price list"	0.0502286
Encyclopedia	0.0501585
missive	0.0498268
"food stock"	0.0496772
"preferred shares"	0.0494847
"season ticket"	0.0493974
"medical report"	0.0491406
"official document"	0.0490857
dwt	0.048959
horoscope	0.0489514
voucher	0.0488039
kit	0.0486673
"polling booth"	0.0485768
chronology	0.0485609
sutras	0.0485459
"greeting card"	0.0484629
deportee	0.0481463
"computer code"	0.0479895
snapshot	0.0478545
tutorial	0.0478234
"parking space"	0.0476906
curriculum	0.047587
tutoring	0.0475767
"insurance policy"	0.0473551
writ	0.0471052
Atlas	0.0470291
"Christmas card"	0.0469546
URL	0.0469447
photocopy	0.0469386
"tender offer"	0.0467433
enlistee	0.0466838
eligibility	0.0465688
"reference work"	0.0465027
"information provider"	0.0464941
enrollee	0.0463022
citation	0.0461972
"financial statement"	0.0461779
Bibliography	0.0460648
"employment contract"	0.0459975
"electronic mail"	0.0459113
appraisal	0.0458342
"sheet music"	0.0457971
"stock certificate"	0.0456353
synopsis	0.0455434
"Sri Lankans"	0.0455353
knighthood	0.0452514
"word processing"	0.0452371
Requests	0.045152
sortie	0.0451519
printout	0.0449438
"train ticket"	0.0448769
"literary work"	0.0448439
summons	0.0447783
itinerary	0.0446854
"triple play"	0.0445798
"sales outlet"	0.0444074
"tool kit"	0.0443887
handout	0.0441051
envelope	0.0440736
annotation	0.0440667
enumerators	0.0440453
dictionary	0.0439628
tabulation	0.043948
"talking point"	0.0438728
overdraft	0.0438439
"compact disk"	0.0437727
"safety feature"	0.0437043
toolbars	0.0436794
referral	0.0433999
"search warrant"	0.0433468
"computer program"	0.0432979
stipend	0.0432074
booking	0.0431785
"fishing license"	0.0431765
"order book"	0.0431594
curricula	0.0430525
websites	0.0428757
affidavit	0.0428704
sequencing	0.0428666
"software package"	0.0427692
handbill	0.042745
"medical history"	0.0426434
fact-finding	0.0426416
"newspaper article"	0.0424648
deferment	0.0423986
specimen	0.042319
"cassette tape"	0.042202
ID.	0.0420947
"drug addict"	0.0420844
"product line"	0.0420657
"compact disc"	0.0420533
namelist	0.0420306
))
("application program" (desc 1409.21) (sims
"computer language"	0.142999
"software package"	0.12676
spreadsheet	0.123072
gnome	0.113623
"software product"	0.110455
"UNIX operating system"	0.108324
Unix	0.10538
"software system"	0.104675
"Mac OS"	0.102623
"Windows CE"	0.099196
"programming language"	0.0887524
"word processor"	0.0882164
DOS	0.0846068
workstation	0.0803097
"retail operation"	0.0797834
Solaris	0.0787604
stents	0.0783322
CE	0.0778047
"media property"	0.0771105
browsers	0.0768317
resellers	0.0752258
Midi	0.0750041
"storage device"	0.0733777
MS-DOS	0.0724233
Macintosh	0.0723707
"reference book"	0.0716677
OS/@	0.0714424
Ethernet	0.0713275
Avonex	0.0696851
"life form"	0.0691273
"business line"	0.0689835
"hard drug"	0.067972
"Microsoft Office"	0.067867
"laser printer"	0.06786
"weather satellite"	0.0675939
abacus	0.0673462
"parlor game"	0.0671122
"musical instrument"	0.0669014
"toy retailer"	0.066804
"electronic device"	0.0664055
"piece of music"	0.0657551
"Universal Serial Bus"	0.065428
microcomputer	0.0641112
RU-@@@	0.0640416
solitaire	0.0638375
bookmark	0.0638124
"Rolls-Royce Motor Cars"	0.0635667
joysticks	0.0632503
"phone system"	0.0627633
websites	0.0625773
gadgetry	0.062522
microprocessor	0.0623486
"communications service"	0.0617872
"San Franciscans"	0.0617236
"information superhighway"	0.0614099
wrongdoer	0.0610376
"water filter"	0.0608639
adopters	0.0600504
"delivery service"	0.0597644
"shock therapy"	0.0594786
chipmakers	0.0593411
Tamale	0.0589623
intranets	0.0585958
copier	0.0585631
Netcom	0.0585536
highflier	0.0585186
"vital organ"	0.0582586
supercomputer	0.0580478
"user interface"	0.0576431
"computer system"	0.0575602
"weapons system"	0.0575255
"artificial heart"	0.0573434
"electronic equipment"	0.0572408
"portable computer"	0.0568585
"air-to-air missile"	0.05685
"board game"	0.0567799
ADSL	0.0566549
"service contract"	0.0563959
"brokerage account"	0.0562655
"weapon system"	0.0561186
"retail store"	0.0560559
alias	0.0559776
"chemical compound"	0.0558962
"ballet company"	0.0558436
widget	0.0554392
vertebrate	0.055301
USB	0.0552079
Impressionist	0.0548937
"Internet Explorer"	0.0547589
"incentive program"	0.0547426
"telephone system"	0.0545517
Taxol	0.0544754
"computing system"	0.0544189
craftspeople	0.0543719
"Lincoln Bedroom"	0.0542855
premises	0.0541685
A@XX	0.054122
iMacs	0.0538714
paraphernalia	0.0537402
"utility program"	0.0536252
"point system"	0.0535763
"computer program"	0.0535449
"ad blitz"	0.053384
interface	0.0533359
"school of thought"	0.0533149
"sheet music"	0.0532356
customization	0.0528929
"historical document"	0.0528633
classifieds	0.0528614
"order form"	0.0528486
"charge card"	0.0527969
"memory chip"	0.0526711
"major-league team"	0.0525955
counterfeiter	0.0524331
emulator	0.0521718
tutorial	0.0519489
fruitcake	0.0519114
singer-songwriters	0.0517731
Creationists	0.0517376
"Windows NT"	0.0515752
"trial and error"	0.0515475
ISPs	0.0514785
gamers	0.051394
motherboards	0.0513656
"New Democrats"	0.0513448
"beauty shop"	0.0512923
"Thomson Multimedia"	0.0511117
"identification number"	0.0510778
"space vehicle"	0.0507014
airship	0.0505454
Irishmen	0.0505118
animators	0.0504654
Epogen	0.050285
"electric car"	0.0501993
"electrical device"	0.0501813
ism	0.0500258
corroboration	0.0497005
headcount	0.0495411
CFCs	0.0495149
noun	0.0494435
salutation	0.0494145
ZCCM	0.0493637
"Baby Bells"	0.0493602
decoy	0.0493588
"electronic database"	0.0493533
"alcoholic beverage"	0.0491611
firewalls	0.0491222
"medical institution"	0.0490986
sport-utility	0.0489929
"season ticket"	0.048771
CRT	0.0487593
"Microsoft Windows"	0.0486735
Os	0.0486386
"business unit"	0.048628
contraband	0.0484396
contraceptive	0.0484267
"third person"	0.048413
"voting system"	0.0483802
scraper	0.0483235
modeling	0.048303
photocopier	0.048171
"athletic facility"	0.0481015
"Marshall Plan"	0.0479217
"Office @@@@"	0.0476888
"Microsoft Word"	0.0476827
"Southern Democrats"	0.047661
"radio frequency"	0.047637
hovercraft	0.0476314
backsliding	0.0475419
Honduran	0.0474265
"entitlement program"	0.047399
"hand-held computer"	0.0473569
webcams	0.0472959
"break of serve"	0.0472437
"piece of furniture"	0.0471198
intangible	0.0470124
"tax change"	0.0469653
blue-chips	0.0469369
"hanky panky"	0.0469138
"two units"	0.0468854
aqua	0.0467905
sorter	0.0466229
"spy satellite"	0.0466155
laxative	0.0466112
glassware	0.0465613
"word processing"	0.0464224
adapter	0.0464001
"game of chance"	0.0463762
"reference work"	0.0463415
"mental disorder"	0.0462895
psychotherapy	0.046214
carnivore	0.0461714
"voting machine"	0.0461527
knucklehead	0.046147
"scientific instrument"	0.0460821
"fuel cell"	0.0460788
"summer house"	0.0460654
"Iranian POWs"	0.0460073
three-pointers	0.0458682
"line of business"	0.0458607
))
("Applied Materials" (desc 2449) (sims
"Micron Technology"	0.389259
"Advanced Micro Devices"	0.285831
"JDS Uniphase"	0.257385
"Compaq Computer"	0.255274
"Cisco Systems"	0.223794
"Lucent Technologies"	0.216143
Qualcomm	0.21375
"Texas Instruments"	0.207601
Hewlett-Packard	0.204043
"Dell Computer"	0.195445
"Hewlett Packard"	0.194884
Unisys	0.192906
"Sun Microsystems"	0.19204
Intuit	0.178843
"National Semiconductor"	0.174747
Motorola	0.16785
Nokia	0.16617
"Netscape Communications"	0.164735
Intel	0.163714
Ericsson	0.162933
EMC	0.161541
Novell	0.160086
"Intel Corp."	0.156907
oracle	0.156383
Cisco	0.15443
"Adobe Systems"	0.154006
Lucent	0.151921
"Cisco Systems Inc."	0.150486
Alcatel	0.147069
"Lucent Technologies Inc."	0.142191
"EMC Corp."	0.140243
RealNetworks	0.135587
Toshiba	0.132375
Psion	0.131594
"Apple Computer"	0.130934
Compaq	0.130293
Nortel	0.129721
"Nortel Networks"	0.12784
Broadcom	0.127103
Marconi	0.125221
IBM	0.124887
Seagate	0.123762
"Johnson &AMP; Johnson"	0.122767
Acer	0.122681
"NEC Corp."	0.122467
"Silicon Graphics"	0.12153
"Motorola Inc."	0.114326
"Hewlett-Packard Co."	0.113137
"Eastman Kodak"	0.112406
AMD	0.111413
Corel	0.111236
Corning	0.111092
"Pfizer Inc."	0.11008
"Advanced Micro Devices Inc."	0.109752
"Abbott Laboratories"	0.109687
"Bristol-Myers Squibb"	0.109027
Pfizer	0.108829
HP	0.108557
Micron	0.107704
Dell	0.106831
"SmithKline Beecham"	0.106778
"Legend Group"	0.106407
Honeywell	0.10613
"Exxon Mobil"	0.105357
"Dell Computer Corp."	0.105351
"Compaq Computer Corp."	0.104639
"United Technologies"	0.104621
"Real Networks"	0.104323
"Nortel Networks Corp."	0.102375
"Pharmacia &AMP; Upjohn"	0.101635
Informix	0.101469
Samsung	0.100875
"Allied Signal"	0.100195
"Glaxo Wellcome"	0.0999236
Symantec	0.0995293
"Diamond Multimedia"	0.0993407
"Hitachi Ltd."	0.099174
Bestfoods	0.0989526
"General Electric"	0.097972
"Pratt &AMP; Whitney"	0.0968632
"Digital Equipment"	0.0963286
Alcoa	0.0961903
"Oracle Corp."	0.0958005
"Smith &AMP; Wesson"	0.0957172
Merck	0.0954089
"IBM Corp."	0.0952875
NEC	0.0948946
"International Business Machines Corp."	0.0943704
SDL	0.0936197
"Warner-Lambert Co."	0.0935463
Aventis	0.0930303
"Sun Microsystems Inc."	0.0928211
"Citigroup Inc."	0.092212
Kodak	0.0913549
"America Online"	0.0908608
Biogen	0.0904027
"Philip Morris"	0.0901542
Schlumberger	0.0900945
Genentech	0.0877077
Yahoo	0.0876315
"F&AMP;N"	0.0872978
Ciena	0.0872509
"Netscape Communications Corp."	0.0865234
Autodesk	0.085972
Fujitsu	0.0858378
"Merck &AMP; Co."	0.085818
"Wireless Optus"	0.0855219
"Hughes Electronics"	0.0854119
"Procter &AMP; Gamble"	0.0853989
Immunex	0.0851544
"American International Group"	0.0846825
CMGI	0.08384
"Hong Kong Telecom"	0.0832348
"Qualcomm Inc."	0.0831473
Netscape	0.0829649
Caterpillar	0.0828937
Embraer	0.0827648
Softbank	0.0826142
Philips	0.0819594
"Wyeth-Ayerst Laboratories"	0.081454
Amazon.com	0.0807815
Hitachi	0.0807004
Xerox	0.0806362
SGI	0.0805411
Dupont	0.080524
Kellogg	0.0800543
"Philippine Stock Exchange Index"	0.0800498
"Straits Times Industrials Index"	0.0800467
"Advanced Micro"	0.0792704
Intergraph	0.0792032
"Dow Corning"	0.0791485
"American Home Products"	0.0791266
STI	0.0782535
Goodyear	0.0771764
"Nikkei Stock Average"	0.0770907
ALZA	0.0770825
"Thomson Multimedia"	0.0769965
"Alta Vista"	0.0765513
AMP	0.076311
"International Paper"	0.0761051
MACROMEDIA	0.0761004
TRW	0.0755986
Sunbeam	0.075469
"Learning Co."	0.0750414
"Boeing Co."	0.0749316
Infoseek	0.0747819
"MindSpring Enterprises"	0.0745414
"Toshiba Corp."	0.0744795
PSINet	0.0744616
Denel	0.0741676
"Lockheed Martin Corp."	0.0741052
Nintendo	0.0737442
chipmakers	0.0732992
Otis	0.0728327
Amgen	0.0727972
Schering	0.0722029
"Eli Lilly &AMP; Co."	0.0721679
"Sky TV"	0.0719742
"Northern Telecom"	0.0714972
"Levi Strauss"	0.0714033
Maytag	0.0708589
"Philip Morris Cos."	0.0707362
NIKE	0.0705166
Changhong	0.0704888
Electrolux	0.0704871
"HSBC Holdings"	0.0703572
ABCNews.com	0.0702647
Ge	0.0697559
"McDonnell Douglas"	0.0697437
"Wal-Mart Stores"	0.0690954
"Walt Disney"	0.0688565
"General Motors"	0.0683077
Inktomi	0.067943
"Delphi Automotive Systems"	0.0678633
adobe	0.0676919
"Tokyo Stock Price Index"	0.0673344
Siemens	0.0666001
"MCI WorldCom"	0.0664851
"Symantec Corp."	0.0662764
Eskom	0.0661762
"News Corp"	0.0660159
bombardier	0.0659536
Bovespa	0.0659333
Gillette	0.0658919
"Home Depot"	0.0657569
"Liberty Media"	0.0654398
"Hang Seng Bank"	0.0652598
"Volvo AB"	0.0652505
"Hongkong Telecom"	0.0652324
Hewlett	0.0652078
"Straits Times Index"	0.065083
"BP Amoco"	0.0649435
BHP	0.0647909
Mattel	0.0647566
Scania	0.0645942
"KLM Royal Dutch Airlines"	0.0643966
Monsanto	0.0642101
"CAC @@"	0.0640981
Emulex	0.0640504
Bayer	0.0637053
))
("applied science" (desc 1355.14) (sims
"information science"	0.145162
"biological science"	0.109227
"social science"	0.108584
"life science"	0.0989189
Qinghua	0.0906011
"environmental science"	0.087549
"liberal arts"	0.0838392
agronomy	0.0826874
"medical science"	0.0811469
"natural science"	0.0800398
"labor resource"	0.0762205
"computer science"	0.0760862
metallurgy	0.0714924
"specialty chemical"	0.0709331
ecology	0.0676539
meteorology	0.0673651
eugenics	0.066773
"educational activity"	0.0643598
"Ministry of Science"	0.064131
Immunology	0.0636356
pharmacology	0.0636096
"scientific knowledge"	0.0617984
paleontology	0.06074
"genetic engineering"	0.0604154
sensing	0.0602686
"nuclear energy"	0.0591201
"atom bomb"	0.0582339
TMD	0.057917
"molecular biology"	0.0577245
"weather forecasting"	0.0575915
"joint-stock company"	0.0571332
diagnostics	0.0565658
fermentation	0.0553449
"computer technology"	0.0553179
astrophysics	0.0553114
Microelectronics	0.0546465
"urban planning"	0.0541161
genomics	0.0536754
"preventive medicine"	0.0535699
geology	0.0522178
"information gathering"	0.0520516
"artificial intelligence"	0.051336
webcasts	0.0510292
geriatrics	0.0508944
automation	0.0506931
"Badminton Association of Indonesia"	0.0506256
"China Association for Science"	0.0497671
"computer application"	0.0497109
"atomic energy"	0.0489306
astrology	0.0484466
"creature comforts"	0.0470601
bioengineering	0.046734
"stock company"	0.0463891
"business enterprise"	0.0461865
"computer programming"	0.0456326
"development organization"	0.0454602
informatics	0.0451819
MSF	0.0448259
vibrator	0.044656
"extension service"	0.0437624
desalination	0.04313
surveying	0.0424673
"Center for Democracy"	0.0423354
"germ warfare"	0.0420883
accountancy	0.0419635
aquaculture	0.04176
Eameses	0.041582
"strategic planning"	0.040588
"Zhongshan University"	0.0403461
"fine arts"	0.0400101
))
(applique (desc 1692.85) (sims
beading	0.153996
embroidery	0.136636
"evening bag"	0.0986935
sequin	0.0814224
chiffon	0.0791973
barrette	0.0730656
sewing	0.0727451
brooch	0.0708391
stitching	0.0689696
embellishment	0.0649803
bedspread	0.061627
amulet	0.0600264
beads	0.0592943
brocade	0.0587909
fastener	0.0577037
headdress	0.0557589
pillowcase	0.0542241
caftan	0.0535409
tassel	0.0535089
"hot pants"	0.0531662
earring	0.0516948
molding	0.0491392
"cocktail dress"	0.0490028
bedding	0.0487367
mulch	0.0481235
"cowboy hat"	0.0481028
knitwear	0.0476957
needlepoint	0.0472855
"broadcast media"	0.0468978
bodice	0.0439728
chaise	0.0435102
anorak	0.0434402
bloomers	0.0432891
"piece of cloth"	0.0431775
clover	0.042618
frock	0.0407934
jumpsuit	0.0406485
"water jug"	0.0405536
))
(appointee (desc 22086.4) (sims
aide	0.115151
nominee	0.109374
"cabinet member"	0.105047
appointment	0.101444
adviser	0.0976011
"cabinet minister"	0.0965292
crony	0.0964591
supporter	0.0952982
"elected official"	0.0952113
loyalist	0.0918561
judge	0.0900121
confidant	0.0860023
aspirant	0.08475
legislator	0.0824307
"campaign adviser"	0.0822683
associate	0.0822305
"board member"	0.0820691
"staff member"	0.0805282
"campaign worker"	0.0801155
"military officer"	0.0800901
staffer	0.0793102
"chief of staff"	0.0785493
"campaign official"	0.0784573
representative	0.0782017
ally	0.0780334
"press secretary"	0.0777732
"running mate"	0.0776173
backer	0.0774803
speechwriter	0.0767747
advisor	0.0764764
secretary	0.0763218
chairmen	0.0762937
reappointment	0.0757045
Republican	0.0755232
"solicitor general"	0.0753989
administration	0.0753012
congressmen	0.0750185
holdover	0.0742452
bureaucrat	0.0741322
"legal expert"	0.0735473
nomination	0.0724147
dissenter	0.0723716
strategist	0.0719791
"committee member"	0.0716314
trustee	0.0712079
executive	0.0711151
delegate	0.0709163
"state senator"	0.0706901
lobbyist	0.0700196
lawmaker	0.0698134
candidate	0.0695715
officer	0.0692488
"civil servant"	0.0692472
commissioner	0.0691355
lawyer	0.0690953
"public servant"	0.0688638
operative	0.0687894
colleague	0.0687403
justice	0.068656
applicant	0.0686411
Democrat	0.0686097
deputy	0.0684069
Counsel	0.0680272
officeholder	0.0678772
clergymen	0.0675506
confidante	0.0675304
Councilors	0.0674589
treasurer	0.067071
prosecutor	0.0669491
"department head"	0.0665892
juror	0.0664459
jurist	0.0663117
"chief justice"	0.0659907
reelection	0.0657252
successor	0.0656645
accuser	0.0655931
administrator	0.0653704
MP	0.06493
"faculty member"	0.0647603
"top executive"	0.0645439
hopefuls	0.0644705
Governor	0.0643367
employee	0.0640108
arbitrator	0.0640093
critic	0.0639902
parliamentarian	0.0638572
contributor	0.0637896
"government officials"	0.0637592
senator	0.0637055
opponent	0.0637013
contestant	0.0633113
Congressman	0.0631058
veto	0.0629957
"security adviser"	0.0628256
Lieutenant	0.0628108
freshmen	0.0625405
detractor	0.062466
protege	0.0622512
fund-raiser	0.0621386
"council member"	0.0618329
"business leader"	0.0618129
Magistrate	0.0613546
foe	0.0613488
surrogate	0.0612693
African-American	0.0608132
politician	0.0605211
"religious leader"	0.0604386
"labor leader"	0.0603406
cleric	0.0602034
"political leader"	0.0601651
journalist	0.0601564
academician	0.0596662
committee	0.0596157
assemblyman	0.0596127
hard-liner	0.059523
"lieutenant governor"	0.0593862
"business executive"	0.0591668
Attorney	0.0591509
consultant	0.0588581
doctor	0.0587776
dignitary	0.0587045
"inner circle"	0.0585436
"George Pataki"	0.0583662
"Tony Coelho"	0.0580968
businessmen	0.0576864
defector	0.0576642
diplomat	0.0573073
Hispanic	0.0570987
technocrat	0.0569915
veteran	0.0569677
clergy	0.0569612
professional	0.0568058
panel	0.0567914
subordinate	0.0567718
"financial officer"	0.0566422
"union member"	0.0566059
admirer	0.0565419
regulator	0.05642
cadre	0.0564118
functionary	0.0563895
defendant	0.0561204
"point man"	0.0559144
supervisor	0.0556833
independent	0.0556464
scholar	0.0555337
"family member"	0.0554883
"vice president"	0.0554691
"law partner"	0.0552559
principal	0.0552014
"federal official"	0.0551757
physician	0.0549449
"church member"	0.0549414
"black woman"	0.0544517
Councilman	0.0544289
panelist	0.0542052
vacancy	0.0540624
negotiator	0.0540087
bodyguard	0.053994
"task force"	0.0539287
Wiranto	0.0537052
athlete	0.0536926
"civic leader"	0.0535396
"advisory board"	0.0533526
policymakers	0.0533359
conservative	0.0532021
volunteer	0.0531835
luminary	0.0530483
Texan	0.0530277
Cuban-Americans	0.0529848
policemen	0.0529747
"policy maker"	0.0529535
cabinet	0.0528259
scientist	0.052732
decree	0.0526633
banker	0.0526251
assistant	0.0525971
spokeswoman	0.0525318
personnel	0.0524534
commander	0.0524313
activist	0.052372
recommendation	0.0523632
liaison	0.0523544
Olympian	0.0521369
pollster	0.0521163
observer	0.0520353
directive	0.0518155
environmentalist	0.051753
detainee	0.0516826
educator	0.0516574
outsider	0.0515995
endorsement	0.0515911
"surgeon general"	0.0514673
"army officer"	0.0514651
constituent	0.0514131
clerk	0.0512968
patron	0.0512933
Communist	0.0512699
"foreign officials"	0.0512057
contractor	0.0511045
"crew member"	0.0510467
))
(appointment (desc 95245.2) (sims
nomination	0.165079
resignation	0.159268
Dismissal	0.13899
decision	0.127147
election	0.117572
selection	0.115047
visit	0.111878
recommendation	0.107594
departure	0.106544
confirmation	0.104616
proposal	0.102668
approval	0.102564
post	0.102493
appointee	0.101444
announcement	0.101382
action	0.100405
removal	0.100118
move	0.0995378
candidacy	0.0992795
ruling	0.0988021
reshuffle	0.0985309
hiring	0.0985122
meeting	0.0974887
ouster	0.0970737
tenure	0.0963859
request	0.0953011
release	0.0952381
firing	0.0946971
arrest	0.0945543
initiative	0.0922648
assignment	0.0908538
withdrawal	0.0900821
change	0.0887665
reelection	0.0887449
sacking	0.0884072
signing	0.0883611
deployment	0.0879671
intervention	0.087801
statement	0.0877971
Declaration	0.0876417
plan	0.0875994
remark	0.0875628
endorsement	0.0874605
role	0.0866159
participation	0.0865689
agreement	0.0864729
deal	0.086061
legislation	0.085932
retirement	0.0856644
inauguration	0.0855553
comment	0.0854711
measure	0.0854368
job	0.0850887
suspension	0.0837556
policy	0.0831193
establishment	0.0826885
vote	0.0825939
speech	0.0825304
transfer	0.0816745
position	0.0812055
finding	0.0808549
trip	0.0807328
reform	0.0806735
resumption	0.0805729
admission	0.0804782
verdict	0.0804329
presence	0.0803533
invitation	0.0801576
decree	0.080036
expulsion	0.0796214
involvement	0.0793178
arrival	0.0791259
indictment	0.0790922
choice	0.0789499
inquiry	0.0786493
referendum	0.0782471
appeal	0.0781356
amendment	0.078116
extension	0.0780465
takeover	0.0767479
merger	0.0766674
arrangement	0.0765995
appearance	0.076296
ratification	0.0762198
entry	0.0761662
investigation	0.0761109
ban	0.0752318
handover	0.0750788
hearing	0.0749871
postponement	0.074665
Execution	0.0746196
Promotion	0.0743946
bill	0.0742352
return	0.0738184
detention	0.0737964
order	0.0737794
extradition	0.0736999
testimony	0.0736867
effort	0.0730545
introduction	0.0728041
dissolution	0.0727056
office	0.0725714
talk	0.0725656
adoption	0.0724848
directive	0.0724553
impeachment	0.0724393
case	0.0723632
rejection	0.072149
formation	0.0719823
status	0.0718389
trial	0.0717387
Acquittal	0.0712241
report	0.0711555
settlement	0.0711255
plea	0.0709733
closure	0.0709707
letter	0.0708716
nominee	0.0708315
reinstatement	0.0707491
purchase	0.0706644
pullout	0.0703929
conduct	0.0702688
acquisition	0.0702372
suggestion	0.0701983
clemency	0.0700842
inclusion	0.0700247
application	0.0698682
designation	0.0698635
accord	0.0697854
duty	0.0696858
provision	0.0693877
interview	0.0693419
procedure	0.0693094
expansion	0.0692698
lifting	0.0691566
resolution	0.0689439
membership	0.0688146
revision	0.0686705
regulation	0.0680573
swearing-in	0.0679852
inspection	0.0679835
treatment	0.0679598
creation	0.0679519
pardon	0.0679167
cancellation	0.0677553
support	0.0676852
"tax cut"	0.0675765
contract	0.0674992
activity	0.0674511
registration	0.067358
petition	0.0672089
defection	0.0672039
cut	0.0670589
filing	0.0669203
reduction	0.0668777
replacement	0.0666986
negotiation	0.0666461
disclosure	0.0666293
layoff	0.0664512
opening	0.0663482
term	0.0663059
outcome	0.0663029
sentence	0.0662513
test	0.0660732
program	0.0660706
pact	0.0660136
strategy	0.0658384
conviction	0.0657935
review	0.0656602
veto	0.0656043
award	0.0655801
refusal	0.0654021
certification	0.0653081
Death	0.0652921
launch	0.0650102
"pay raise"	0.0645277
judgment	0.0643382
date	0.0643219
"rate cut"	0.0642761
cabinet	0.0641954
qualification	0.0641682
"military action"	0.0640883
conclusion	0.0640593
law	0.0640334
testing	0.0640179
Privatization	0.0638561
funding	0.0638487
acceptance	0.0637484
summit	0.0637392
bid	0.0637005
Implementation	0.0636082
"rate increase"	0.0635795
government	0.0635039
document	0.0634759
prosecution	0.063456
lawsuit	0.0634354
performance	0.0630194
consultation	0.0629295
mediation	0.0628573
result	0.0628189
))
(apportionment (desc 1519.95) (sims
reapportionment	0.399942
headcount	0.127866
match-ups	0.0757013
redistribution	0.066303
Concealment	0.0627885
"about one third"	0.0620528
socialization	0.0588665
NMD	0.0572267
Reauthorization	0.0569694
reforestation	0.0549591
"Antiquities Act"	0.0549059
newbies	0.0538907
"Lesotho Congress"	0.0530422
concurrence	0.0525659
shortsightedness	0.0517687
reasonableness	0.0516749
oil-for-food	0.0514531
"crowd control"	0.051301
"Fourth Amendment"	0.0512063
horse-trading	0.0510964
reallocation	0.0498711
"district line"	0.0490736
"head count"	0.0489846
dilution	0.0486158
fallback	0.0485553
buyback	0.0482276
Demutualization	0.0481289
misappropriation	0.0480567
plurality	0.047884
acceptability	0.0475077
demobilization	0.0472504
"absolute majority"	0.0467782
usurpation	0.0464959
"great deal"	0.0464543
decentralization	0.0460517
realignment	0.0460104
beautification	0.0455191
"Twenty-five percent"	0.0450998
comprises	0.0447801
heliport	0.0446989
fact-finding	0.0446477
titillation	0.044548
allotment	0.0444337
enumeration	0.0442807
bookkeeping	0.0442673
namelist	0.0440324
rectification	0.0439074
"short selling"	0.0429153
NTRA	0.0428914
counterterrorism	0.0426083
propagation	0.0424053
"Foreign Affairs Committee"	0.0421826
redefinition	0.0421071
mockup	0.0420124
"grizzly bear"	0.0415248
hedging	0.0410589
"Almost three-quarters"	0.0406983
paucity	0.0403264
"Royal Government"	0.0403166
))
(appraisal (desc 20380.9) (sims
evaluation	0.183306
assessment	0.170015
examination	0.125108
analysis	0.112794
audit	0.103086
inspection	0.101861
review	0.0991667
verification	0.0985276
registration	0.0834997
supervision	0.0831514
testing	0.0819861
accounting	0.0813023
excavation	0.0802166
documentation	0.0791994
research	0.0772746
survey	0.076524
certification	0.0762984
accreditation	0.0756038
reassessment	0.0753134
management	0.0742148
analyses	0.0737324
measurement	0.0731874
calculation	0.0726435
approval	0.0723237
valuation	0.072121
planning	0.0719617
consultancy	0.0712438
observation	0.0706882
reappraisal	0.0704229
autopsy	0.0701938
consultation	0.0692014
screening	0.0690951
checkup	0.0688263
revision	0.0683405
scrutiny	0.0680118
oversight	0.0674089
investigation	0.067407
recommendation	0.0671332
procedure	0.0670028
feedback	0.0666
monitoring	0.0662847
opinion	0.0661712
judgment	0.0661272
surveillance	0.0656752
"medical examination"	0.0648736
training	0.0646866
"medical exam"	0.0646398
exploration	0.0640832
identification	0.0640174
discussion	0.0636789
diagnosis	0.0636363
maintenance	0.063613
overview	0.0635159
reevaluation	0.0631003
prediction	0.0630118
preservation	0.0630013
description	0.062992
validation	0.0627587
allocation	0.0626994
interpretation	0.0626681
forecasting	0.0625906
Exam	0.0624031
repair	0.0623964
procurement	0.0623241
projection	0.0622982
reporting	0.062297
guidance	0.0617811
summary	0.0613079
protection	0.0612348
renovation	0.0612201
"background check"	0.0608794
tabulation	0.0606422
fact-finding	0.0605642
utilization	0.0601289
selection	0.0600411
inventory	0.05982
clearance	0.0597496
liquidation	0.0595871
simulation	0.0595284
transaction	0.0595103
financing	0.059392
"blood test"	0.0593596
sampling	0.0590545
engineering	0.0590285
application	0.058918
data	0.05891
inquiry	0.0587441
Promotion	0.0586559
statistic	0.0586266
rehabilitation	0.0584404
authentication	0.0584265
distribution	0.0583643
drilling	0.0583337
enforcement	0.0580667
"weather forecast"	0.0580589
biopsy	0.0577387
reorganization	0.057537
classification	0.0574377
referral	0.0573744
"training program"	0.0572969
divestiture	0.0571946
census	0.0571519
restructuring	0.0570701
awareness	0.057033
dissemination	0.0567279
finding	0.0565979
advice	0.0565709
treatment	0.0564265
placement	0.0564211
Implementation	0.0563682
"quality control"	0.0563149
critique	0.0562971
"medical report"	0.0561196
understanding	0.0561121
cleaning	0.0559272
improvement	0.0558317
quality	0.0558103
coordination	0.0555855
recruitment	0.0555029
auction	0.0553656
"decision making"	0.0552589
cleanup	0.055117
consideration	0.0550467
adoption	0.0549311
confirmation	0.054694
restoration	0.0545952
pricing	0.0545798
follow-up	0.0545322
representation	0.0544786
indicator	0.054238
revaluation	0.0541865
processing	0.0541708
enhancement	0.0538765
account	0.0538516
judgement	0.0537781
formulation	0.053672
estimation	0.0536612
requirement	0.0535499
scan	0.0535
expropriation	0.053428
input	0.0533978
deliberation	0.0533929
Privatization	0.0533603
bidding	0.0532182
lending	0.0531496
authorization	0.0530238
modification	0.0529667
appropriation	0.0528034
assurance	0.0528032
"head count"	0.0527687
clarification	0.0527527
knowledge	0.0526874
summation	0.0524755
upgrading	0.0524727
regulation	0.0521913
Declaration	0.0521095
designing	0.0520833
construction	0.0519553
conservation	0.0519309
"internal control"	0.0519076
assistance	0.0518332
preparation	0.0517334
outlook	0.0516781
translation	0.051614
forfeiture	0.0515637
ownership	0.0512693
"tax return"	0.0511567
conclusion	0.0510677
"progress report"	0.0510621
leasing	0.0510393
affirmation	0.0510391
overhaul	0.0510085
qualification	0.0509774
method	0.0509756
"education program"	0.0509736
reconstruction	0.050972
"pay raise"	0.0509529
appraiser	0.0508068
interrogation	0.0507973
disclosure	0.0507401
installation	0.0506977
grading	0.0505703
readjustment	0.0502424
ratification	0.0502196
presentation	0.0500428
notification	0.0500424
"report card"	0.0500322
insurance	0.050025
detection	0.0500117
funding	0.0498047
mammograms	0.0497834
"city planning"	0.0497615
facelift	0.0497435
debriefing	0.04968
explanation	0.0496781
relocation	0.0495995
payment	0.0495798
reimbursement	0.0495463
arbitration	0.0495037
certificate	0.0493902
))
(appraiser (desc 7259.27) (sims
auditor	0.115959
"private investigator"	0.107341
assessor	0.103971
actuary	0.102514
accountant	0.100915
"certified public accountant"	0.0985686
"investment adviser"	0.0927196
"tax collector"	0.0913838
consultant	0.0866766
planner	0.0861807
"investment banker"	0.0833989
restorer	0.0830074
adjuster	0.0820218
paralegal	0.0815106
CPA	0.0800953
Realtor	0.0786204
contractor	0.0783807
demographer	0.0770293
"medical examiner"	0.0766701
"real estate agent"	0.0763002
archivist	0.0760102
Programmer	0.0753986
statistician	0.0753978
"math teacher"	0.0748369
surveyor	0.0745298
"management consultant"	0.0740728
"financial officer"	0.0736133
psychologist	0.0735782
preparers	0.0735203
pathologist	0.0735062
collector	0.0726547
banker	0.0723982
"insurance agent"	0.072152
auctioneer	0.0718136
forester	0.0717601
"social worker"	0.0715932
biologist	0.0715777
stockbroker	0.0711539
educator	0.0707839
veterinarian	0.0699218
broker	0.0699
technician	0.069789
scalpers	0.0691836
Ombudsman	0.0688869
architect	0.0685595
"business executive"	0.0683889
psychiatrist	0.0681938
"landscape architect"	0.0678971
"computer programmer"	0.0678943
developer	0.0672291
"civil engineer"	0.0669124
temp	0.0661476
salesmen	0.0659032
"public defender"	0.065738
subcontractor	0.0656347
curator	0.0649785
psychotherapist	0.0644607
archaeologist	0.0640211
Litigator	0.0639095
electrician	0.0637238
trustee	0.0634159
epidemiologist	0.0631593
"home builder"	0.062958
historian	0.0627801
conservator	0.0626809
therapist	0.0626684
nutritionist	0.0624525
underwriter	0.061549
"interior designer"	0.0615475
"temporary worker"	0.0615025
physician	0.0613105
genealogist	0.0611448
pharmacist	0.0607397
astrologer	0.0605978
archeologist	0.0604178
counselor	0.060363
investigator	0.0603352
designer	0.0601063
forecaster	0.0598202
anthropologist	0.0598099
dietitian	0.0593429
promoter	0.0590686
exterminator	0.0587762
"accounting firm"	0.0581952
dentist	0.0581381
administrator	0.0581087
decorator	0.0580532
academic	0.0578529
"travel agent"	0.0574761
restaurateur	0.0570318
bookkeeper	0.0569625
"economic expert"	0.0569578
economist	0.0567919
"medical specialist"	0.0565684
connoisseur	0.0564654
"market maker"	0.0564352
Gangelhoff	0.0564226
translator	0.0563567
BNFL	0.056321
horticulturist	0.0562728
speculator	0.0561229
trader	0.0560033
geologist	0.0559306
surgeon	0.0558314
lender	0.055742
jurist	0.0556888
ethicists	0.0555418
"computer expert"	0.0555313
gardener	0.0555151
"consulting company"	0.0553838
anesthesiologist	0.0548999
regulator	0.0547889
reviewer	0.0547109
linguist	0.054634
mechanic	0.0546244
"software engineer"	0.0546184
caterer	0.054597
"management personnel"	0.054544
plumber	0.0543542
"corporate executive"	0.0542356
botanist	0.0537783
gynecologist	0.0534651
scholar	0.0534613
preservationists	0.0533409
naturalist	0.0530437
"private detective"	0.0530214
whomever	0.0529422
vendor	0.0529262
insurer	0.052901
"advertising agency"	0.0527911
lobbyist	0.0527039
salespeople	0.0526842
"social scientist"	0.0526119
"ad agency"	0.0526066
lifeguard	0.05236
"consulting firm"	0.0521633
pollster	0.0521435
landlord	0.0520809
chef	0.0520463
salesperson	0.0518628
"information officer"	0.0518186
superintendent	0.0518175
"divorce lawyer"	0.0517717
tester	0.0516491
"venture capitalist"	0.0516332
radiologist	0.0515073
"electrical engineer"	0.0513153
arbitrator	0.0512473
clerk	0.0511442
"management expert"	0.0509445
animators	0.0509271
inspector	0.0508533
appraisal	0.0508068
stylist	0.0507568
woodworker	0.0506725
"auction house"	0.0505306
practitioner	0.0505253
"trial lawyer"	0.0504723
"campaign worker"	0.0503407
"credit bureau"	0.0502049
publicist	0.0501211
installer	0.0500815
"board member"	0.049983
"legal expert"	0.0499219
supervisor	0.0498795
agronomist	0.0498569
examiner	0.0498447
psychic	0.0496282
taster	0.0495549
seller	0.0495375
"flight attendant"	0.0494996
pediatrician	0.0491362
detective	0.0491045
Murr	0.0490857
"press agent"	0.0489227
photographer	0.0488854
"special agent"	0.0487914
paleontologist	0.0487628
Procurator	0.0486068
mathematician	0.0485676
merchant	0.0485072
"policy maker"	0.0484881
seismologist	0.0484864
Schmid	0.0482958
librarian	0.0482817
"air force officer"	0.048196
Gurkha	0.0481866
"plastic surgeon"	0.0481634
"security consultant"	0.0480964
"school superintendent"	0.0478229
ecologist	0.0478213
"medical officer"	0.0477646
educationist	0.0477504
"civil servant"	0.0477474
builder	0.0477288
part-timer	0.0476863
"department head"	0.0476652
"film maker"	0.0476319
"civic leader"	0.047546
bureaucrat	0.0475404
))
(appreciation (desc 51070.9) (sims
gratitude	0.164664
admiration	0.155236
depreciation	0.137302
understanding	0.112743
respect	0.110488
thanks	0.110178
sympathy	0.106531
affection	0.106451
recognition	0.10598
support	0.0982261
satisfaction	0.0949484
weakening	0.0949464
enthusiasm	0.0942766
devaluation	0.0928576
volatility	0.0916253
awareness	0.0904452
acceptance	0.0898114
praise	0.0866427
sense	0.0865224
weakness	0.0857808
compassion	0.0855787
strength	0.0848624
value	0.0848149
passion	0.0832611
plunge	0.0829697
desire	0.0826408
confidence	0.081577
empathy	0.0811436
fluctuation	0.0802533
willingness	0.0787655
"good will"	0.0783161
love	0.0782371
reverence	0.0780878
importance	0.0778186
pride	0.0778088
feeling	0.0776996
solidarity	0.0776773
knowledge	0.0762312
tolerance	0.0762286
commitment	0.0755417
determination	0.075391
loyalty	0.0748158
esteem	0.074132
decline	0.0737241
slide	0.0736211
encouragement	0.0729742
"exchange rate"	0.0729741
interest	0.0729451
stability	0.0729349
concern	0.0723088
goodwill	0.0718902
optimism	0.0716346
strengthening	0.0715506
appetite	0.0714028
wish	0.0712584
disapproval	0.0711243
sincerity	0.0709335
regret	0.0709145
friendship	0.0706256
distaste	0.0704273
pleasure	0.0696176
growth	0.0696069
surge	0.0693828
acknowledgment	0.069166
congratulation	0.0689688
gain	0.0689276
excitement	0.068848
sensitivity	0.0687432
joy	0.0683086
perception	0.0681396
affirmation	0.0678328
improvement	0.06774
reward	0.0677286
anger	0.0676264
attention	0.0671503
stabilization	0.0669823
recovery	0.066894
frustration	0.0664866
apology	0.0664785
dignity	0.066067
condolence	0.0657144
expectation	0.0655048
sadness	0.0647709
wealth	0.0646642
patience	0.0646557
sorrow	0.0646047
trust	0.0645382
resentment	0.0644312
uncertainty	0.0643959
hope	0.0642034
vitality	0.0638579
acclaim	0.0636624
disappointment	0.063651
credit	0.0636161
meaning	0.0633041
patriotism	0.0632705
deterioration	0.0631961
affinity	0.0631277
achievement	0.0630851
significance	0.0628952
acknowledgement	0.0627923
commendation	0.0626216
yearning	0.0624874
erosion	0.0624757
vision	0.0623419
emotion	0.0623042
attitude	0.0622403
urgency	0.062177
fondness	0.0621397
happiness	0.0621041
anxiety	0.0620056
reversal	0.0618632
generosity	0.0616053
skill	0.0614421
taste	0.0612403
awe	0.0611436
remorse	0.0611238
realization	0.0610829
prosperity	0.0610753
decrease	0.0609057
humility	0.0608808
success	0.0607793
responsibility	0.0606915
popularity	0.0603157
criticism	0.0602588
condemnation	0.0602156
sentiment	0.0601672
approval	0.0601661
fear	0.0601517
inflation	0.0600539
disdain	0.0599896
progress	0.0598759
skepticism	0.0596727
enjoyment	0.0594728
ability	0.0593279
quality	0.0591984
"earnings growth"	0.0590599
participation	0.0590598
dissatisfaction	0.0590515
confusion	0.0589461
liquidity	0.0588642
readiness	0.0588262
disregard	0.0583332
opportunity	0.0582368
diversity	0.0581805
keenness	0.0581436
adjustment	0.0579948
spirit	0.0579891
outrage	0.0579692
flexibility	0.0578219
inflow	0.057791
development	0.057727
faith	0.0576629
impact	0.0576298
contribution	0.0576111
"sense of responsibility"	0.057595
demand	0.0575227
courage	0.057419
discipline	0.057415
trend	0.0573324
sell-off	0.0571988
lack	0.0571716
upturn	0.05714
potential	0.0570619
reluctance	0.0568185
wisdom	0.0566867
relief	0.0566421
reduction	0.0566357
appeal	0.0565675
talent	0.0564404
rejection	0.0564111
consolidation	0.0563991
slowdown	0.0563346
delight	0.0563006
momentum	0.0562977
downturn	0.0562688
honor	0.0562445
belief	0.0560961
nervousness	0.0559788
aspiration	0.0559354
backing	0.05584
Openness	0.0558307
"growth rate"	0.055775
kind	0.0557534
dedication	0.0557495
slump	0.0556886
depth	0.0556729
reflection	0.0556244
relaxation	0.0555863
caution	0.0555217
ambition	0.0554934
performance	0.0553834
displeasure	0.0552805
unity	0.055279
devotion	0.0552753
efficiency	0.0550443
indignation	0.0550343
Creativity	0.0549638
grief	0.054815
curiosity	0.0547593
))
(apprehension (desc 14172.3) (sims
trepidation	0.180519
anxiety	0.157062
nervousness	0.140952
unease	0.121412
uneasiness	0.120618
sadness	0.119898
fear	0.117452
anger	0.117356
wariness	0.11686
uncertainty	0.11685
confusion	0.11649
disquiet	0.116199
misgiving	0.11207
skepticism	0.11001
jitters	0.109985
panic	0.109852
suspicion	0.10974
frustration	0.107201
pessimism	0.105674
outrage	0.103257
worry	0.102933
resentment	0.102638
indignation	0.101001
disillusionment	0.100607
alarm	0.0997616
bewilderment	0.0990294
bitterness	0.0983677
dismay	0.0983223
anguish	0.0974334
regret	0.096591
consternation	0.0963297
excitement	0.0954322
ambivalence	0.0949123
disbelief	0.0940134
insecurity	0.0939461
discontent	0.0937412
mistrust	0.0925548
scepticism	0.0924615
dissatisfaction	0.0911275
optimism	0.0909557
disappointment	0.090716
dread	0.0902303
grief	0.0898853
astonishment	0.0894365
doubt	0.0885237
elation	0.0883516
despair	0.0879298
skittishness	0.0876361
distrust	0.0875358
speculation	0.0870132
discomfort	0.085718
sorrow	0.084293
misunderstanding	0.0832961
cynicism	0.082539
foreboding	0.0824356
tension	0.0795114
emotion	0.0793044
disgust	0.0790179
remorse	0.0788591
hesitancy	0.0783176
curiosity	0.0782188
unhappiness	0.0771403
joy	0.0771224
desperation	0.0757237
admiration	0.0753725
paranoia	0.0753085
jubilation	0.0752755
euphoria	0.0748152
sympathy	0.0746647
anticipation	0.074562
reluctance	0.07446
jealousy	0.0742784
enthusiasm	0.073857
pride	0.0734957
shock	0.0731997
feeling	0.0730976
caution	0.0730775
hesitation	0.0729712
Distress	0.0725678
awe	0.0721311
hardship	0.0719169
angst	0.0718928
weariness	0.0718557
pity	0.0710544
loneliness	0.0702071
suspense	0.0701096
soul-searching	0.0698759
guilt	0.0696693
amazement	0.0696243
urgency	0.0694645
disdain	0.0694016
revulsion	0.0693126
irritation	0.0689594
longing	0.0688729
horror	0.0686643
self-doubt	0.0685073
terror	0.0684667
unrest	0.0683508
inconvenience	0.0682244
pain	0.068169
hand-wringing	0.0679834
dissension	0.0671733
complacency	0.0670387
satisfaction	0.0670308
friction	0.0666799
instability	0.0666474
shame	0.0662107
animosity	0.0660739
distaste	0.0659418
rumor	0.0658652
qualm	0.0655608
awareness	0.0654881
volatility	0.0653805
hostility	0.0652454
hopelessness	0.0648533
disenchantment	0.064499
embarrassment	0.0644942
sentiment	0.0643237
misperception	0.0641222
rage	0.0637707
"hue and cry"	0.0636815
hatred	0.063418
agony	0.0632787
rumblings	0.0631598
recrimination	0.0630167
nostalgia	0.0628437
fuss	0.0626277
backlash	0.0626236
bemusement	0.0625412
apathy	0.0624225
exasperation	0.0621242
ambiguity	0.0619871
criticism	0.0617433
alienation	0.0617101
self-confidence	0.0616864
helplessness	0.0616346
expectation	0.061314
certainty	0.0611507
misconception	0.0609806
ferment	0.0608671
reverence	0.0607467
controversy	0.060464
glee	0.0603429
happiness	0.0600102
discouragement	0.0598189
"ill will"	0.0596375
acrimony	0.0596306
disapproval	0.0594251
empathy	0.0591895
perception	0.0591113
inhibition	0.0590747
confidence	0.0589948
compassion	0.0588837
rancor	0.0588402
outcry	0.0586216
envy	0.0584302
edginess	0.0583486
prejudice	0.0582021
loathing	0.0581874
annoyance	0.0581187
impatience	0.0580876
adversity	0.0575661
irony	0.0574188
finger-pointing	0.0571276
humility	0.057047
affection	0.0570178
pleasure	0.0567867
self-consciousness	0.0567753
displeasure	0.0567347
stigma	0.0566957
antagonism	0.0566614
misery	0.056588
ignorance	0.0563018
perplexity	0.056071
extradition	0.0560467
sensitivity	0.0558475
passion	0.0557355
tenderness	0.0556517
"inferiority complex"	0.0556016
amusement	0.0554469
fatigue	0.0552565
puzzlement	0.0551567
restlessness	0.055132
isolation	0.0550555
discord	0.0549752
Depression	0.0549583
gloom	0.054902
dislocation	0.0548743
introspection	0.0548736
aggravation	0.05475
phobia	0.0546335
misinformation	0.0545727
determination	0.0544774
hysteria	0.0544585
contempt	0.0544313
despondency	0.0542764
conviction	0.0541559
wistfulness	0.0541031
equanimity	0.0540746
overlap	0.0538644
))
(apprentice (desc 7506.66) (sims
trainee	0.0788538
copywriter	0.076381
"account executive"	0.0755875
intern	0.0708591
"Obi-Wan Kenobi"	0.0695691
organist	0.067179
receptionist	0.066716
paralegal	0.066314
seminarian	0.0661943
"copy editor"	0.0661476
bookkeeper	0.0640911
"altar boy"	0.062174
"eye doctor"	0.0609604
instructor	0.060587
clerk	0.0586093
acolyte	0.0581973
tutor	0.0579705
busboy	0.057903
helper	0.0575157
"day laborer"	0.0567369
"shop assistant"	0.0559474
bricklayer	0.0558452
electrician	0.05447
janitor	0.0544029
mechanic	0.0543052
illustrator	0.0537001
waitress	0.0536768
"big leaguer"	0.053204
custodian	0.0531826
"stage manager"	0.0528859
sportswriter	0.0528217
cashier	0.0524463
chemist	0.0523437
roofer	0.0521973
technician	0.0519979
"disc jockey"	0.0519609
"basketball coach"	0.0515787
stuntman	0.0514958
handyman	0.0513132
"medical student"	0.0511175
stockbroker	0.0510329
"jazz musician"	0.0509033
"management consultant"	0.050322
stewardess	0.0502513
first-rounder	0.0501457
Yoda	0.0498733
plumber	0.0497608
salesman	0.0497151
goal-scorer	0.0497141
translator	0.0491229
"temporary worker"	0.04906
caddie	0.0489954
Amateur	0.0485603
waiter	0.0484922
"maintenance man"	0.0483078
Litigator	0.0481506
lifeguard	0.0478728
experimenter	0.0478113
achiever	0.0476729
picker	0.0475996
thoroughbred	0.047554
lecturer	0.0475097
counselor	0.0473757
"managing editor"	0.047367
"football coach"	0.0472528
"church member"	0.04692
governess	0.0468071
"investment banker"	0.0463531
animator	0.0461813
"art director"	0.0461111
housekeeper	0.0460798
"pitching coach"	0.0460036
shipmate	0.0459089
acrobat	0.0457885
"assistant professor"	0.0457635
chef	0.0456943
Imam	0.0453927
evangelist	0.045288
laborer	0.0451765
chauffeur	0.0451425
cameraman	0.044865
"ballet dancer"	0.0448489
marksman	0.0447649
educator	0.0447317
"graduate student"	0.0447005
infantryman	0.0446098
"black person"	0.0444912
interpreter	0.0444457
"parking ticket"	0.0443269
"public servant"	0.0443127
understudy	0.044227
"law student"	0.0438995
"truck driver"	0.0438751
"faculty member"	0.0438207
"computer programmer"	0.0438114
pupil	0.0435552
bouncer	0.0435062
missionary	0.0434637
"software engineer"	0.0432203
businesswomen	0.0430296
violinist	0.0430094
vocalist	0.0429319
"staff member"	0.0428626
"music director"	0.0427081
messenger	0.0427049
dishwasher	0.0425345
ex-convicts	0.0424968
"hockey player"	0.0423175
attendant	0.0422122
"little leaguer"	0.0421855
dispatcher	0.0421371
grandmaster	0.0420961
"art student"	0.0420899
"staff sergeant"	0.0418491
servant	0.0418065
"intelligence officer"	0.0416836
protege	0.0416516
bellhop	0.0416443
"hockey coach"	0.0415843
carpenter	0.0414725
hostess	0.0414596
"Ian Wright"	0.0414428
grad	0.0413958
"major leaguer"	0.0412822
publicist	0.0412689
goalscorer	0.0412179
nanny	0.0411783
CFO	0.0411402
teller	0.0411361
foreman	0.0409741
"art historian"	0.040879
psychoanalyst	0.0408105
ensign	0.0406546
astronaut	0.0406151
medic	0.0406138
"financial officer"	0.0405413
cinematographer	0.0404994
"exotic dancer"	0.0404906
"chief financial officer"	0.0404668
"traveling salesman"	0.0404382
accountant	0.0404355
ballerina	0.0403696
"punching bag"	0.0403493
"social worker"	0.0403345
"medical specialist"	0.0403083
"volleyball player"	0.0402477
clergymen	0.0400607
repairmen	0.040019
))
(apprenticeship (desc 5842.03) (sims
"tour of duty"	0.109411
internship	0.101664
sabbatical	0.0765131
"prison sentence"	0.0748864
"statute of limitations"	0.0748009
stint	0.0745603
hiatus	0.07387
sojourn	0.0726885
residency	0.0722479
retraining	0.0720108
tenure	0.070119
"prison term"	0.0699993
"transition period"	0.06713
"medical check-up"	0.0649241
"presidential term"	0.0627574
"degree program"	0.0621039
"service contract"	0.0617322
recuperation	0.0614001
schooling	0.0598572
lifespan	0.0597284
warranty	0.0596877
"vocational training"	0.0594662
"term of office"	0.0591188
"shelf life"	0.0587411
"fire drill"	0.0586491
"leave of absence"	0.0581068
"training program"	0.0571578
tryout	0.0567942
fellowship	0.056691
colloquy	0.0557545
ordeal	0.0554821
windup	0.0551512
"work permit"	0.0550758
patrician	0.0550443
"adult education"	0.0547369
"medical exam"	0.0537692
layover	0.0535408
"social assistance"	0.0531076
incarceration	0.0530691
"work day"	0.0523955
lull	0.0523891
slumber	0.0522739
"medical checkup"	0.0518484
"military service"	0.0517368
odyssey	0.0515077
stakeout	0.0514673
rehab	0.051411
incumbency	0.051409
"social insurance"	0.0510337
counseling	0.0506893
Vocation	0.050585
"day care"	0.0499596
"professional life"	0.0497955
"electronic warfare"	0.0497071
"education program"	0.0491921
"time limit"	0.0490154
"secondary education"	0.0485471
"vocational education"	0.0484053
telemedicine	0.0483433
refurbishment	0.0483124
tutoring	0.0480497
workday	0.0476797
"labor contract"	0.0475897
"Trojan Horse"	0.0475331
reemployment	0.04726
"retirement benefit"	0.0471636
"labor agreement"	0.0470987
GSP	0.0470395
"shock therapy"	0.0468301
"military drill"	0.0467824
"piano lesson"	0.0467264
shake-up	0.0465343
hibernation	0.0465072
"physical therapy"	0.0464813
recapitalization	0.0464172
downtime	0.0462388
manhunt	0.0462259
layoff	0.0462178
"employment contract"	0.046115
"child care"	0.0460776
"baseball season"	0.0452876
socialization	0.0452806
atonement	0.0451774
"life cycle"	0.0451061
checkup	0.0449214
"background check"	0.0449077
buyback	0.0448684
renovation	0.0447341
timeframe	0.0445739
schoolwork	0.0444275
processional	0.0444196
"pilot program"	0.0442351
"Whitewater investigation"	0.0439711
"growing season"	0.0439566
"educational program"	0.0438935
two-a-days	0.0438494
"hospital care"	0.0437471
"Treasury note"	0.0436374
"head start"	0.0434827
honeymoon	0.0434551
furlough	0.0433118
"full term"	0.0432763
outpatient	0.0432735
penance	0.0432453
gestation	0.043224
recruitment	0.043192
literacy	0.0429213
certification	0.0428763
"monitoring program"	0.0428659
"school day"	0.0428549
CPR	0.0427488
"Little Dog"	0.0426938
tutorial	0.0426711
"rehabilitation program"	0.0426306
emulation	0.042395
"field work"	0.0423876
sensitization	0.0423238
sit-down	0.0422577
"school year"	0.042247
salchow	0.0422168
"health check"	0.0421292
realignment	0.0420971
mini-camp	0.0419795
rehearsal	0.0419092
coaching	0.0417178
"detective work"	0.0416202
"nursing care"	0.0416185
"waiting list"	0.0416062
"time period"	0.0415213
"hunting season"	0.0414903
flowering	0.0414281
triage	0.0412776
childcare	0.0412716
immunization	0.0411924
cohabitation	0.041025
indoctrination	0.040805
"medical examination"	0.040651
"legal representation"	0.0405843
diploma	0.0404569
"night shift"	0.040362
"love affair"	0.0403541
stays	0.0403217
imprisonment	0.0402857
abdication	0.0402812
"stock buyback"	0.0400946
daycare	0.0400709
courtship	0.0400475
))
(approach (desc 173747) (sims
strategy	0.181653
policy	0.159649
attitude	0.158183
method	0.148523
style	0.147623
stance	0.136122
tactic	0.134694
commitment	0.131633
proposal	0.129915
concept	0.129235
technique	0.129206
philosophy	0.125911
solution	0.125834
idea	0.125616
plan	0.122953
effort	0.119597
response	0.118414
measure	0.117542
initiative	0.117139
view	0.114433
action	0.109838
tone	0.109577
manner	0.108375
vision	0.108328
agenda	0.108076
move	0.108074
alternative	0.107143
change	0.106395
reform	0.106136
principle	0.105675
procedure	0.105339
theory	0.10479
system	0.104735
decision	0.10433
interpretation	0.10406
"economic policy"	0.10242
program	0.102169
design	0.101922
way	0.101851
position	0.101379
legislation	0.101372
arrangement	0.100116
attention	0.100095
role	0.0994348
ability	0.0976688
reaction	0.0973636
priority	0.0972391
technology	0.0968785
thinking	0.0959139
practice	0.0945655
process	0.094533
aspect	0.0944594
skill	0.0944273
step	0.0938205
relationship	0.0936141
experience	0.0933032
notion	0.0929759
Formula	0.0929008
model	0.0928382
behavior	0.0923762
mechanism	0.0921263
structure	0.0917872
willingness	0.0910139
trend	0.0906852
treatment	0.0905358
intervention	0.0904728
answer	0.0902753
challenge	0.0902249
personality	0.0901047
law	0.0898943
determination	0.0898361
"tax cut"	0.0898003
"foreign policy"	0.0895223
scheme	0.0894394
nature	0.0884769
suggestion	0.0882339
guideline	0.0871322
success	0.0870117
rule	0.0869467
support	0.0866912
spirit	0.0865966
assessment	0.086557
standard	0.0860917
work	0.0860431
theme	0.0859141
desire	0.0855716
use	0.0854877
message	0.0853815
ideology	0.0853167
image	0.0851632
regulation	0.0849255
contribution	0.0848708
shift	0.0846417
discipline	0.0845905
language	0.0845111
objective	0.0843341
focus	0.0842948
rhetoric	0.0842168
argument	0.0840284
development	0.0839677
campaign	0.0836789
pattern	0.0836727
perspective	0.0835907
compromise	0.0834608
mentality	0.0833441
recommendation	0.083338
that	0.0832969
issue	0.0832656
culture	0.0830177
conclusion	0.082965
remedy	0.0829494
progress	0.0829349
choice	0.0828177
outlook	0.082791
timing	0.082469
quality	0.0824571
path	0.082445
leadership	0.0824106
tool	0.0823515
performance	0.0821632
format	0.0821498
demeanor	0.0820897
direction	0.0816312
element	0.0816116
innovation	0.0815533
kind	0.0814996
finding	0.081479
option	0.0813762
diplomacy	0.0813357
belief	0.0810107
result	0.0809911
emphasis	0.08074
"management style"	0.0806974
resolution	0.0806512
politics	0.0805604
comment	0.0805028
agreement	0.0804706
viewpoint	0.0803068
outcome	0.080296
dialogue	0.0802927
form	0.080095
ethic	0.0797634
thing	0.0796439
intention	0.0796341
attempt	0.0791552
appeal	0.0790338
adjustment	0.0784892
statement	0.078332
cooperation	0.0783096
timetable	0.078159
tradition	0.0781454
scenario	0.0779179
framework	0.0778712
management	0.0778197
ways	0.077617
therapy	0.0775073
look	0.0775051
means	0.0774846
presence	0.077464
"point of view"	0.0774631
improvement	0.0773609
bill	0.0772344
Openness	0.0772279
lifestyle	0.0771992
partnership	0.0771776
expansion	0.0770418
project	0.0769988
achievement	0.0768895
analysis	0.0768784
dedication	0.0768256
"game plan"	0.076823
access	0.0767181
type	0.0766482
criticism	0.0766354
regard	0.0765406
participation	0.0764735
situation	0.0764121
tendency	0.0764002
this	0.0763441
handling	0.0761433
conservatism	0.0760929
mode	0.0760839
addition	0.0759497
provision	0.0758927
version	0.0757443
requirement	0.0756635
opposition	0.0754898
activity	0.0754669
amendment	0.0754437
it	0.0754189
proposition	0.075413
value	0.0754003
opinion	0.0753641
package	0.0753341
education	0.0751818
reference	0.0751742
threat	0.0749891
prospect	0.0749345
devotion	0.0748063
advice	0.0748058
))
("approach shot" (desc 6691.83) (sims
"sand wedge"	0.25718
"chip shot"	0.190562
chip-in	0.163511
putt	0.16284
hole-in-one	0.157892
double-bogey	0.154565
wedge	0.122179
bogey	0.117002
birdie	0.115064
"passing shot"	0.106117
eagle	0.0934037
three-putted	0.0902646
par	0.0822705
"ground stroke"	0.0821336
tap-in	0.0806137
par-@s	0.0797857
lob	0.0772573
putter	0.0756379
backhand	0.0752165
bunker	0.0745734
forehand	0.0737544
volley	0.0727753
tee	0.0712842
fairway	0.0680212
two-putted	0.0672083
divot	0.0646605
crosscourt	0.0630878
header	0.0624178
"free kick"	0.0601862
iron	0.0593062
irons	0.0582581
"singing voice"	0.0576519
par-@	0.0575716
groundstrokes	0.0574339
"hook shot"	0.0569675
uppercut	0.0560901
"corner kick"	0.0559256
"jump shot"	0.0556882
"piece of work"	0.0553446
comebacker	0.0549764
"foul ball"	0.0546424
"pop fly"	0.0544359
"drop shot"	0.0541207
puck	0.0535161
"round of golf"	0.0502106
"off-speed pitch"	0.0489088
popup	0.0484734
layups	0.0482759
up-and-down	0.0480818
caddie	0.0478821
backhander	0.0473356
serf	0.0467411
derriere	0.0467283
Dutchmen	0.0466826
"oil slick"	0.0465412
dribbler	0.0458157
"a few inches"	0.0457587
Rolen	0.0456385
sinker	0.0456003
floater	0.0442777
jumper	0.0441916
"fly ball"	0.0441631
salchow	0.0439635
skiff	0.0438902
octave	0.0436578
"bank shot"	0.043417
blooper	0.0431387
marksmanship	0.0429681
knuckleball	0.0429671
"pedestrian bridge"	0.0428938
"breaking ball"	0.0427923
clicker	0.0426628
rapport	0.0422225
"line drive"	0.042147
curveball	0.0419441
"tennis ball"	0.0416932
wrister	0.0416467
"sense of balance"	0.0415945
three-pointer	0.0415644
"little finger"	0.0412267
change-up	0.0410801
sloop	0.0409881
passer	0.0406866
axel	0.0405205
"rhythm section"	0.0401974
racquet	0.0400148
))
(approaching (desc 1189.08) (sims
nearing	0.0998971
"first decade"	0.0702167
"zero hour"	0.0683461
"first third"	0.0663168
"clenched fist"	0.0660233
"HK SAR"	0.058501
dawning	0.0579134
expiry	0.0566321
"first five days"	0.0547007
"first weeks"	0.0511038
"fifth week"	0.0508851
"postmaster general"	0.0500664
finds	0.049573
virulence	0.0494593
vicissitude	0.049392
"straight face"	0.0492765
"solar eclipse"	0.0472643
"dark ages"	0.0464283
suddenness	0.0457644
connivance	0.0455019
"first hours"	0.0445279
"Balkan Wars"	0.0439319
canvassing	0.0430429
"last half"	0.0426562
annulment	0.0413519
going	0.0411127
"Sino-British Joint Declaration"	0.0405296
))
(appropriateness (desc 2862.63) (sims
suitability	0.118902
adequacy	0.116069
Constitutionality	0.107162
veracity	0.101341
effectiveness	0.0996627
legality	0.0993539
efficacy	0.0960754
validity	0.0917737
electability	0.0909803
reasonableness	0.090766
feasibility	0.0904429
usefulness	0.0892243
propriety	0.0888963
cost-effectiveness	0.0848662
underpinnings	0.084237
viability	0.0793315
truthfulness	0.0760944
authenticity	0.0738117
durability	0.0706103
fairness	0.0672844
worthiness	0.0671966
competence	0.0666484
competency	0.0638967
desirability	0.0633944
accuracy	0.0629098
reliability	0.0626315
provenance	0.0600414
sincerity	0.0588663
applicability	0.0584445
practicality	0.0577868
objectivity	0.0574034
timeliness	0.0572415
soundness	0.057029
parentage	0.0564358
seriousness	0.056318
authorship	0.0547389
compatibility	0.0544446
legitimacy	0.0539709
"dollar amount"	0.0514139
acceptability	0.0510605
impartiality	0.0506176
paucity	0.0502357
creditworthiness	0.0489447
"economic value"	0.0485008
centrality	0.0471835
severity	0.0469787
likelihood	0.0467262
shaping	0.046177
elaboration	0.0455293
sustainability	0.0454873
modality	0.0454626
duration	0.044627
lessening	0.0445061
toxicity	0.0442331
trustworthiness	0.0441647
"staying power"	0.0439334
reexamination	0.043837
"random sample"	0.0438064
harmonization	0.0436779
Diagnoses	0.0434434
culpability	0.0423334
labeling	0.0418105
sanity	0.0417554
"dust jacket"	0.0417042
breadth	0.0417034
misinterpretation	0.0412767
"about one-fourth"	0.0409547
harnessing	0.0406291
deferral	0.0405457
temperament	0.0403146
continuance	0.0402851
proficiency	0.0402502
paternity	0.0400062
))
(appropriation (desc 16080.1) (sims
allocation	0.147779
outlay	0.144786
funding	0.142639
"operating budget"	0.129307
budget	0.115291
subsidy	0.113933
"annual payment"	0.113403
expenditure	0.112669
spending	0.107662
"spending cut"	0.104687
"tax break"	0.103095
grant	0.102689
payment	0.0990933
"tax credit"	0.0979426
financing	0.097223
endowment	0.0969971
"defense budget"	0.0956751
payout	0.0943909
reimbursement	0.0938464
"bond issue"	0.0937483
allotment	0.0919043
"budget cut"	0.0910823
infusion	0.0906705
"financial aid"	0.0894251
"credit line"	0.0872665
"tax increase"	0.0872532
"pretax charge"	0.0867397
bailout	0.0858796
surplus	0.0852802
disbursement	0.0851818
"tax cut"	0.0849624
authorization	0.0849339
"tax reduction"	0.0848217
"tax bill"	0.0847124
"pay raise"	0.0816869
borrowing	0.0810696
loan	0.0790267
"line of credit"	0.0782345
"purchase price"	0.0773921
donation	0.0768718
revenue	0.0764788
expropriation	0.0762887
"cash payment"	0.0761036
assistance	0.0758923
repeal	0.0758905
shortfall	0.0758139
Shays-Meehan	0.0756741
saving	0.0755245
"equity investment"	0.0751105
misappropriation	0.0750746
"tax revenue"	0.0745539
fee	0.0743015
PRICETAG	0.0741939
compensation	0.0737316
receipt	0.0736434
legislation	0.0734548
overhaul	0.0733931
savings	0.0725697
"tax incentive"	0.0720224
tax	0.071776
oversight	0.0716511
restitution	0.0711599
"pretax profit"	0.0709182
windfall	0.0708887
contribution	0.0708652
"budget deficit"	0.0705283
"property tax"	0.0690306
"net income"	0.0689345
"tax deduction"	0.0687238
"capital expenditure"	0.0684108
sum	0.068316
"tax collection"	0.068289
"medicare payment"	0.0680089
package	0.0679857
deficit	0.0677017
exemption	0.0673097
"net profit"	0.067169
"minimum wage"	0.0669132
"operating cost"	0.0668191
payouts	0.0665893
"slush fund"	0.0664589
"price tag"	0.0655947
"asking price"	0.0650878
waiver	0.0650362
stipend	0.0649589
income	0.0649232
pension	0.064841
debt	0.0647381
rebate	0.064531
"trust fund"	0.0641864
amendment	0.0641461
"letter of credit"	0.0641321
capitalization	0.0640454
"interest payment"	0.0635021
write-off	0.0634655
procurement	0.0633564
deduction	0.0632104
Helms-Burton	0.0631379
"debt payment"	0.0629927
"war chest"	0.0627686
"reserve fund"	0.0627367
"market value"	0.0626149
"operating expenses"	0.0625026
proceeds	0.062461
salary	0.0624207
"gross income"	0.0623968
installment	0.0623044
audit	0.0619375
approval	0.0617358
provision	0.0614846
Reauthorization	0.0614122
"tax benefit"	0.0612054
buyout	0.0609694
allowance	0.0605815
repayment	0.060565
"fund-raising drive"	0.0601609
bonus	0.0601537
"Bill of Rights"	0.0598817
voucher	0.0597875
"armed service"	0.0596848
expense	0.0596468
"legal fee"	0.0596379
Gross	0.0595799
confiscation	0.0594324
reduction	0.0593273
"retirement benefit"	0.0592321
dividend	0.0592035
abatement	0.0590893
reallocation	0.0590071
"gross national product"	0.0587537
reparation	0.0587225
Privatization	0.0586732
"export credit"	0.0584108
"nearly $@ billion"	0.0583635
extension	0.0582213
asset	0.0581602
arrears	0.0580852
refund	0.0579883
resource	0.0578691
payday	0.057852
payroll	0.0578301
"earning per share"	0.0577554
billing	0.0575297
"prize money"	0.0573981
"ad blitz"	0.0573624
remittance	0.0568294
"trade policy"	0.0566967
"food aid"	0.0566926
forfeiture	0.0566354
pledge	0.0565426
"amount of money"	0.056264
"one penny"	0.0562311
facelift	0.0561045
buyback	0.0559858
"savings account"	0.0555511
clearance	0.0555469
"tax hike"	0.055519
"bank deposit"	0.0555163
austerity	0.0554826
"income tax"	0.0554643
revision	0.0553933
"fund-raising campaign"	0.0553561
write-down	0.0550348
quota	0.0549457
"production cost"	0.054841
distribution	0.0548364
"death benefit"	0.054515
regulation	0.0544684
lending	0.0544574
"sales tax"	0.054218
"policy change"	0.0540516
"down payment"	0.0539982
taxation	0.0539339
renewal	0.0539183
incentive	0.0539103
"debt service"	0.0538998
issuance	0.0537969
"about $@@@ million"	0.0536548
wage	0.0535038
"cash bonus"	0.0531077
initiative	0.0530355
embezzlement	0.0529654
disclosure	0.0529161
renovation	0.052824
appraisal	0.0528034
certification	0.052702
adjustment	0.0525866
requirement	0.0525283
"compensation package"	0.0525177
earnings	0.0524213
deposit	0.0523829
sponsorship	0.0523632
accountability	0.0522298
"nest egg"	0.0522138
notification	0.0521181
"takeover offer"	0.0521075
planning	0.0520859
"about $@@ million"	0.0520594
jackpot	0.0520455
largess	0.0519942
))
("Appropriations Committee" (desc 2369.26) (sims
"House Appropriations Committee"	0.431424
"House Commerce Committee"	0.410463
"Senate Appropriations Committee"	0.36315
"Banking Committee"	0.339984
"House International Relations Committee"	0.338903
"House Budget Committee"	0.328555
"Ways and Means Committee"	0.326086
"Commerce Committee"	0.324667
"Rules Committee"	0.318281
"Senate Banking Committee"	0.316616
"House Government Reform Committee"	0.302898
"Senate Judiciary Committee"	0.300613
"Senate Budget Committee"	0.286109
"House Ways and Means Committee"	0.285279
"Senate Finance Committee"	0.276364
"Foreign Relations Committee"	0.263877
"Senate Commerce Committee"	0.254554
"finance committee"	0.253904
"Senate Armed Services Committee"	0.248982
"House Banking Committee"	0.2387
"Judiciary Committee"	0.220316
"Senate Foreign Relations Committee"	0.204638
"House Judiciary Committee"	0.173736
"Senate Governmental Affairs Committee"	0.17201
"ethics committee"	0.168242
"Congressional Black Caucus"	0.158422
"National Economic Council"	0.140744
"conference committee"	0.133014
subcommittee	0.132073
"planning board"	0.130722
"board of trustees"	0.126757
"Public Service Commission"	0.126198
"Atomic Energy Commission"	0.125264
JMC	0.125207
"steering committee"	0.121614
NSC	0.118229
"National Republican Congressional Committee"	0.118142
"Council of Economic Advisers"	0.117696
"Los Angeles City Council"	0.117629
"Board of Supervisors"	0.116366
DLC	0.114593
"Truth Commission"	0.114321
SDP	0.112569
"Texas House"	0.112376
"city council"	0.111838
"Texas Senate"	0.110585
"Russian Duma"	0.110131
"PLO Executive Committee"	0.109813
"Supreme Council"	0.108709
"Republican National Committee"	0.108403
"planning commission"	0.107401
"Human Rights Commission"	0.107346
"Business Council"	0.106092
CMAG	0.105826
"advisory board"	0.103972
AmCham	0.10333
"Great Hural"	0.101474
"Housing Authority"	0.101135
"Electoral Commission"	0.0992729
"Ethics Commission"	0.0990004
PUC	0.0985557
PECC	0.0984247
"board of education"	0.0974174
"Republican House"	0.0969579
"US House"	0.096745
CEC	0.0966579
PCC	0.0958212
NEA	0.0957186
"Federal Reserve Board"	0.0956926
"Palestine National Council"	0.0955404
"Israeli Cabinet"	0.0951653
"Guardian Council"	0.0941223
"Democratic Congressional Campaign Committee"	0.0940568
"English department"	0.0939932
DNC	0.0930962
"board of regents"	0.0930182
DAP	0.0927868
CIRC	0.0926211
"Universal Pictures"	0.0922953
"Nuclear Regulatory Commission"	0.0918442
"Democratic National Committee"	0.0911955
"Nevada Athletic Commission"	0.0911856
PNC	0.0903728
"Truth and Reconciliation Commission"	0.0902546
"history department"	0.0902166
CMC	0.0900895
PSC	0.0895938
"governing board"	0.0891313
"Executive Committee"	0.0884222
"Congress Working Committee"	0.088209
"Federal Open Market Committee"	0.0878733
"Federation Council"	0.0875826
"Israeli Knesset"	0.0866036
"General Council"	0.085815
WEF	0.0844818
"Palestinian National Council"	0.0843364
"Cuban American National Foundation"	0.0840643
"search committee"	0.0840585
"interim committee"	0.0836553
G-@@	0.0833898
"standing committee"	0.0824645
PATA	0.0823211
"General Committee"	0.0810776
"control board"	0.0806459
BIA	0.0805972
KPA	0.080518
Presidium	0.0804485
"Central Election Commission"	0.0804447
"Goldman Sachs &AMP; Co."	0.0801872
"school board"	0.0797791
"Democratic Senatorial Campaign Committee"	0.0796679
"Board of Elections"	0.0795591
SPDC	0.0794673
"Kosovo Verification Mission"	0.0792077
"executive council"	0.0791764
"Board of Governors"	0.0791117
IEC	0.0789724
"Shas Party"	0.078701
CCF	0.0786036
"Texas Legislature"	0.0784804
"Golkar Party"	0.0780368
"Nevada State Athletic Commission"	0.0775643
RNC	0.077195
KPU	0.0769864
"U.S. Senate"	0.0768174
"National Committee"	0.0768129
"Jatiya Party"	0.0766767
Mensa	0.075797
"board of directors"	0.0756074
"Football Association"	0.0754244
Rudman	0.0752864
CSC	0.0751156
NAM	0.0750016
"Commonwealth Ministerial Action Group"	0.0749262
CDU	0.0739186
"Democratic Leadership Council"	0.0735927
Totalfina	0.0733167
Duma	0.0732706
"Federal Trade Commission"	0.0730773
ABA	0.072982
FEC	0.0729144
IGAD	0.0728845
"Russian Communist Party"	0.0728622
"Nahdlatul Ulama"	0.0726925
ITC	0.0721482
"Salt Lake Organizing Committee"	0.0719109
"District Council"	0.0717865
"Russian Parliament"	0.071733
"National Council"	0.07139
"State Duma"	0.0713521
"Foreign Relations"	0.071334
"Federal Deposit Insurance Corp."	0.0711604
BOI	0.0709125
CSRC	0.0702388
"military commission"	0.0699779
"Supreme Soviet"	0.069926
"Federal Election Commission"	0.0699079
ITF	0.0698773
"European Parliament"	0.0698109
"Congress Standing Committee"	0.0696861
CAA	0.0692532
"Independence Party"	0.0683963
"Parades Commission"	0.0682432
"Revolutionary Party"	0.0681423
MNLF	0.0681354
FOMC	0.0680063
"Olympic Committee"	0.0676993
"National Defense Commission"	0.0676548
"Organizing Committee"	0.0676199
"National Endowment"	0.0675903
DSE	0.0671491
"Social Democratic Party"	0.0670872
"Commission on Presidential Debates"	0.0670173
plc	0.0667435
"Civic Democratic Party"	0.0666908
NASD	0.0664237
OIC	0.0663243
PDI	0.0662967
"Muslim Brotherhood"	0.0662567
DPP	0.0662479
"United States Congress"	0.0660416
"House of Representatives"	0.0659819
"Palestinian Council"	0.0659484
"jockey club"	0.0659405
FIA	0.0658296
"Federal Communications Commission"	0.0657939
"International Olympic Committee"	0.0656862
MPLA	0.0654273
SFC	0.0651701
"United Nations Security Council"	0.06513
CCM	0.0650893
CNTA	0.0650161
ICA	0.0649968
"National Mandate Party"	0.0649768
"Russian State Duma"	0.064905
"ethics panel"	0.0648621
"working group"	0.0647379
NDP	0.0647075
"Texas Department of Public Safety"	0.0645226
Upton	0.0639482
))
(approval (desc 134924) (sims
permission	0.179562
authorization	0.178895
ratification	0.177874
support	0.150245
consent	0.141152
endorsement	0.136023
decision	0.135569
vote	0.134486
confirmation	0.132564
review	0.127804
acceptance	0.125495
rejection	0.121916
passage	0.121566
recommendation	0.120053
adoption	0.118559
clearance	0.117966
backing	0.117891
consideration	0.114417
proposal	0.112711
certification	0.111779
action	0.110674
agreement	0.10988
funding	0.105341
announcement	0.10526
request	0.103741
resolution	0.103118
participation	0.102995
appointment	0.102564
license	0.101962
plan	0.101678
mandate	0.101124
Implementation	0.0985829
permit	0.0980133
assistance	0.0968606
go-ahead	0.0960567
financing	0.0959391
completion	0.0948537
ruling	0.0931821
scrutiny	0.0923804
regulation	0.0920653
legislation	0.091903
revision	0.0916443
requirement	0.0914926
oversight	0.0913289
commitment	0.0908293
recognition	0.0902603
election	0.0900144
intervention	0.0896606
help	0.0895349
deliberation	0.0889097
evaluation	0.0888184
resumption	0.0885326
"green light"	0.0884155
provision	0.0875791
application	0.0870125
withdrawal	0.0868281
membership	0.0860885
supervision	0.0858605
amendment	0.085061
registration	0.0849965
renewal	0.0849677
release	0.0846189
notification	0.0841462
resignation	0.0839636
assurance	0.0837971
investigation	0.0835326
measure	0.0834658
nomination	0.0833949
payment	0.0831393
guideline	0.0828191
inquiry	0.0824445
guarantee	0.0822937
directive	0.0818587
procedure	0.0818425
statement	0.0818147
objection	0.0816011
hearing	0.0815756
signing	0.0812283
authority	0.0810136
assessment	0.0808093
settlement	0.080576
Declaration	0.0805618
reform	0.0803138
extension	0.0800026
report	0.0799894
veto	0.0796999
order	0.0795519
change	0.0795246
initiative	0.079501
effort	0.0790211
removal	0.0789072
criticism	0.0782554
waiver	0.0781353
allocation	0.0779217
Dismissal	0.0778873
deal	0.0775989
discussion	0.0775378
bill	0.0774402
move	0.0772057
consensus	0.0771866
signature	0.0770538
introduction	0.0764914
enactment	0.076454
blessing	0.0764214
official	0.0762039
voting	0.0761211
policy	0.0759683
suspension	0.0759578
meeting	0.075739
expansion	0.075622
inspection	0.0752884
referendum	0.075225
negotiation	0.0751616
return	0.0750241
protection	0.074881
response	0.0746393
appeal	0.0746262
examination	0.0745569
process	0.0742581
disapproval	0.0742219
attention	0.074135
testing	0.0739934
aid	0.07384
consultation	0.0738374
demand	0.0737496
treatment	0.0737033
enforcement	0.0736467
disbursement	0.0736363
investment	0.0732975
committee	0.0732327
conclusion	0.0731942
majority	0.0731218
establishment	0.0729901
concession	0.0728468
cooperation	0.0727471
delay	0.0727028
package	0.0724434
sanction	0.0724371
appraisal	0.0723237
involvement	0.0722274
refusal	0.0720929
restriction	0.0720592
rule	0.0718877
progress	0.0718051
success	0.0717365
outcome	0.0716716
verdict	0.0716209
result	0.0715962
comment	0.0715889
instruction	0.0715183
budget	0.0712168
exemption	0.0710339
term	0.0710175
development	0.0709125
debate	0.0708522
preparation	0.0707555
loan	0.0707184
subsidy	0.0706801
ban	0.0706777
opposition	0.0704719
guidance	0.0704579
warning	0.0703465
notice	0.0702898
reduction	0.0702531
cancellation	0.070244
timetable	0.070156
entry	0.069954
input	0.0699527
admission	0.0698292
visit	0.0697946
transfer	0.0694907
fund	0.0694784
clarification	0.0694568
invitation	0.0694468
document	0.0694175
lifting	0.0691596
test	0.0690019
failure	0.0689337
suggestion	0.068928
creation	0.068874
overhaul	0.0687235
planning	0.0685703
deployment	0.0685104
pledge	0.0683878
money	0.0683744
trial	0.0683626
control	0.0681891
merger	0.0680327
finding	0.067959
promise	0.0677735
accreditation	0.0677132
objective	0.0674802
Execution	0.0673424
certificate	0.0672995
filing	0.0671049
arrangement	0.0670242
priority	0.0668727
improvement	0.0667801
sale	0.0667572
willingness	0.0665269
))
(approximation (desc 3454.37) (sims
readout	0.0924348
inkling	0.0770461
facsimile	0.0642595
imitation	0.0598614
eye-opening	0.0573184
wallop	0.057255
evocation	0.0562683
incongruity	0.0560268
"piece of work"	0.0549063
perusal	0.0541546
"personal relation"	0.0539123
Ahold	0.0528205
flyby	0.0515412
analogy	0.0504451
"hole in the ground"	0.0503358
"object lesson"	0.0492365
parsing	0.049219
"sneak preview"	0.0486178
analyses	0.0473915
"rule of thumb"	0.0471421
effervescence	0.0466422
barometer	0.046635
epigram	0.0458122
depiction	0.0457679
"dollar amount"	0.0457313
prevarication	0.0454254
microcosm	0.0453583
impossibility	0.0452637
acknowledgement	0.0448291
"singing voice"	0.0448278
inference	0.0445074
indicative	0.0442722
underpinnings	0.0442424
analogue	0.0442294
summation	0.0442123
"sense of direction"	0.0440845
pronunciation	0.0439935
chimera	0.0438339
corroboration	0.0434049
impersonation	0.0432088
spacing	0.043178
rendering	0.0425789
skewering	0.0423953
simulation	0.0422681
modicum	0.0421754
"measuring stick"	0.0417435
"tool kit"	0.0417099
sendoff	0.0416846
"birthday present"	0.041593
zinger	0.0414582
brushwork	0.0414308
pursuer	0.0406834
"three pitchers"	0.0405477
re-creation	0.0404138
Estimations	0.0402252
benediction	0.0400299
appraisal	0.0400273
))
(apricot (desc 9183.53) (sims
peach	0.305572
nectarine	0.267627
plum	0.266644
pear	0.257975
blackberry	0.250513
raspberry	0.249435
fig	0.240642
Cherry	0.223917
pineapple	0.222606
mango	0.203738
blueberry	0.20019
pecan	0.194546
melon	0.194152
walnut	0.192568
prune	0.190495
lemon	0.182246
raisin	0.178352
almond	0.176522
Quince	0.175573
persimmon	0.173928
cranberry	0.166294
RHUBARB	0.165078
currant	0.165058
GUAVA	0.158917
strawberry	0.157569
apple	0.15662
avocado	0.156362
coconut	0.156361
tomato	0.152991
hazelnut	0.151428
grape	0.147953
"black olive"	0.138725
olive	0.136074
"dried fruit"	0.135669
"macadamia nut"	0.134379
tangerine	0.133851
papaya	0.130969
cashew	0.129922
berry	0.129627
pumpkin	0.128409
fennel	0.12816
onion	0.127867
"pine nut"	0.125657
"coconut milk"	0.1243
banana	0.123318
pea	0.121645
"brown sugar"	0.120697
ginger	0.119289
pomegranate	0.118365
cinnamon	0.11835
mushroom	0.11798
"orange marmalade"	0.117089
grapefruit	0.116651
carrot	0.116264
buttermilk	0.115103
leek	0.114643
cantaloupe	0.113327
watermelon	0.113235
"shiitake mushroom"	0.111659
fruit	0.111642
"peanut butter"	0.111221
Orange	0.110935
celery	0.110559
cucumber	0.109335
"green onion"	0.108499
Garlic	0.107601
shallot	0.107441
pistachio	0.106977
tomatillo	0.106141
ricotta	0.106024
"bell pepper"	0.105552
"black bean"	0.105349
vanilla	0.103129
"pumpkin seed"	0.102749
"green bean"	0.102432
"orange juice"	0.102041
jelly	0.101997
"sweet potato"	0.101581
asparagus	0.101195
"sour cream"	0.100606
kumquat	0.100247
"red pepper"	0.0999172
chocolate	0.0998828
lime	0.0994905
spinach	0.0994266
"green pepper"	0.0989851
mint	0.0989208
"winter squash"	0.0988551
cabbage	0.0988022
yogurt	0.0986041
potato	0.0983587
"cream cheese"	0.0977078
"passion fruit"	0.0975728
scallion	0.097002
lavender	0.0965747
"blue cheese"	0.0965474
"pineapple juice"	0.096216
"goat cheese"	0.0958152
honey	0.0955268
vinegar	0.0953299
"cottage cheese"	0.0952983
"whipping cream"	0.0947174
eggplant	0.0944889
chutney	0.0944581
pepper	0.0944458
"Grand Marnier"	0.0941907
"red onion"	0.0939877
mustard	0.0938282
molasses	0.0933134
"cherry tomato"	0.0932808
nut	0.0931672
marjoram	0.0930969
"sweet corn"	0.0928939
butter	0.0928664
"lemon juice"	0.092075
"cider vinegar"	0.0920319
Broccoli	0.0919136
bean	0.0913449
beet	0.0911461
crumb	0.0907087
breadcrumb	0.0905431
Chickpea	0.0897367
litchi	0.0896011
parsley	0.0895565
"green olive"	0.0893205
zucchini	0.0892969
"water chestnut"	0.0889854
spice	0.0888633
herb	0.0887127
"chicken broth"	0.0881669
citrus	0.0872556
lentil	0.0872536
"orange peel"	0.087249
"evaporated milk"	0.0865473
"plum tomato"	0.0865384
"milk chocolate"	0.0862075
"soy sauce"	0.085951
Or	0.0859178
cheese	0.0858541
artichoke	0.0856783
cornstarch	0.0854475
"lime juice"	0.0853626
"maple syrup"	0.0850728
Basil	0.0850141
"egg yolk"	0.0849366
cider	0.0848578
jalapeno	0.0841045
"chicken stock"	0.0834315
kiwi	0.0831737
"tomato juice"	0.0829163
sugar	0.0827838
anise	0.0827826
juice	0.0825419
"apple juice"	0.0818308
"tomato sauce"	0.0817282
cornmeal	0.0814289
clove	0.081414
oregano	0.0814049
lettuce	0.0811542
chive	0.080997
oatmeal	0.0808321
marshmallow	0.0807092
"heavy cream"	0.0806028
"citrus fruit"	0.0803969
okra	0.0803636
margarine	0.0794513
vegetable	0.0792885
morel	0.0786689
flour	0.0782561
preserves	0.0777713
granola	0.0775266
"wine vinegar"	0.0774208
"peanut oil"	0.077359
plantain	0.077116
radish	0.0768945
"chili sauce"	0.0766142
"ground beef"	0.0758622
"tomato paste"	0.0753306
crimson	0.0751673
corn	0.0750498
"grapefruit juice"	0.0748793
"brussels sprout"	0.074669
"sesame seed"	0.074536
shrimp	0.0743851
polenta	0.0742989
chiles	0.0742968
chilies	0.0740602
turnip	0.0739686
rosemary	0.0738833
clam	0.0737434
cilantro	0.0736787
lilac	0.0736372
licorice	0.073508
custard	0.0734637
cream	0.0733486
puree	0.0732536
egg	0.073066
tortellini	0.0729309
Endive	0.0727482
oat	0.0725804
))
(April (desc 94191.1) (sims
June	0.363331
July	0.352116
January	0.338177
October	0.337925
February	0.33383
December	0.330338
may	0.325991
September	0.318887
November	0.318575
August	0.315025
March	0.261063
"December @@@@"	0.240224
"April @@@@"	0.239438
"January @@@@"	0.236806
"October @@@@"	0.224438
"July @@@@"	0.221941
"June @@@@"	0.217541
"March @@@@"	0.216577
"September @@@@"	0.208279
"November @@@@"	0.20591
"May @@@@"	0.204259
"February @@@@"	0.198669
"August @@@@"	0.190246
"first quarter"	0.170423
Spring	0.148095
"late @@@@"	0.143869
"second quarter"	0.141343
mid-October	0.136368
month	0.133833
"first six months"	0.131368
"third quarter"	0.12948
"first half"	0.129335
mid-July	0.123286
mid-June	0.122977
mid-December	0.121436
year	0.120637
"April, @@@@"	0.11735
mid-April	0.115743
mid-January	0.115026
mid-September	0.113532
fall	0.113222
"first @@ months"	0.111381
mid-August	0.110295
mid-May	0.110233
"first three months"	0.110188
summer	0.109771
"June @@"	0.109114
"fiscal @@@@"	0.107614
mid-November	0.107371
"first eight months"	0.107316
"first nine months"	0.107243
"first seven months"	0.105242
"first five months"	0.104992
Monday	0.103023
"May, @@@@"	0.102588
"May @@"	0.101952
"first four months"	0.101463
mid-March	0.101113
week	0.0998078
"fiscal year"	0.099794
autumn	0.0988892
"March @@"	0.0984647
Tuesday	0.0975233
"first two months"	0.0973037
Thursday	0.0968794
Mid-February	0.0968554
"December, @@@@"	0.096339
Friday	0.0957795
"April @@"	0.0956064
"late @@@@s"	0.095606
mid-@@@@	0.0948208
"June, @@@@"	0.0942707
"July, @@@@"	0.0931817
"October, @@@@"	0.0928469
"second half"	0.0926205
"January, @@@@"	0.0924016
"first week"	0.0923632
"July @@"	0.0910336
"last quarter"	0.0906204
Wednesday	0.090361
quarter	0.0876995
"July @"	0.0870898
"Sept @@"	0.0868825
"Jan @@"	0.0862861
"Nov @@"	0.0849503
"April @"	0.0846772
afternoon	0.0826803
"Oct @"	0.0825819
"Dec @@"	0.0824763
Sunday	0.0815025
period	0.0813574
"Aug @@"	0.0813447
"last week"	0.0811839
"Feb @@"	0.0811721
"Oct @@"	0.0810655
winter	0.0789174
Saturday	0.0783181
mid-@@@@s	0.0765387
"three months"	0.0757778
weekend	0.0756091
"September @@"	0.0752192
morning	0.0749676
"June @"	0.0747775
today	0.0720384
Evening	0.0718466
"May @"	0.0709729
"first ten months"	0.0707625
"first three quarters"	0.0694642
"March @"	0.0693797
season	0.0687868
"Jan @"	0.0686276
"second week"	0.0672818
"financial year"	0.0670798
day	0.0664543
"August @@"	0.0663842
"December @@"	0.0652086
"first year"	0.0647881
"first month"	0.0644635
wake	0.0644317
"January @@"	0.0644114
"Nov @"	0.0640381
"last three months"	0.0634743
tomorrow	0.0631545
"Aug @"	0.0628114
"six months"	0.0626391
"February @@"	0.0625982
"November @@"	0.0624375
"year ago"	0.0622113
"past @@ months"	0.0615777
"October @"	0.0615255
"year end"	0.0611436
"two months"	0.0605053
"last @@ months"	0.0598142
"five years"	0.0589829
"October @@"	0.0588322
yesterday	0.0587571
"Dec @"	0.0584168
"three years"	0.0576581
"Sept @"	0.0575728
"two years"	0.0572724
"past six months"	0.057193
decade	0.0571682
now	0.0569436
"two weeks"	0.0569127
bid	0.0568019
"calendar year"	0.0564047
night	0.0563558
"April @."	0.0562962
trading	0.0562195
middle	0.0554653
"Feb @"	0.0554163
"four months"	0.0553347
accordance	0.0546891
"three weeks"	0.0543024
"past five years"	0.0539284
"last two years"	0.0538507
"January @"	0.0537723
"next two weeks"	0.0534723
"July @."	0.0531342
"past two years"	0.0530421
"two years ago"	0.0525108
"spring training"	0.0520426
Christmas	0.0519311
"last two weeks"	0.0517944
"last two months"	0.0517251
"four years"	0.05143
BEIJING	0.0513451
particular	0.051165
"a few months"	0.0509917
"January @, @@@@"	0.050965
Tokyo	0.0507958
"March @@, @@@@"	0.0506972
"seven months"	0.0506882
"past two months"	0.0506387
"last three years"	0.0503477
"a few weeks"	0.0503263
"a few days"	0.0503149
ending	0.0502315
"second year"	0.0502241
"United States"	0.0501751
"five months"	0.0501108
"New York"	0.0485862
"two weeks ago"	0.0483915
"March @."	0.0482558
"next two years"	0.0480562
LONDON	0.0480421
round	0.0478254
"past three months"	0.0477586
meantime	0.0477132
"one month"	0.04771
"last five years"	0.0473309
"one year"	0.0472328
few	0.0469222
"July @, @@@@"	0.0467994
"past two weeks"	0.0467093
"nine months"	0.0465907
Lusaka	0.046459
session	0.0464425
future	0.0462931
"past @@ years"	0.0457715
))
("April @" (desc 36103.9) (sims
"April @@"	0.327018
"March @@"	0.318492
"May @@"	0.312599
"June @@"	0.302873
"July @@"	0.299438
"May @"	0.29571
"June @"	0.287653
"July @"	0.280692
"January @@"	0.271136
"February @@"	0.269705
"November @@"	0.268402
"March @"	0.26741
"September @@"	0.260909
"October @"	0.252641
"September @"	0.251914
"October @@"	0.251163
"August @@"	0.247344
"December @@"	0.246657
"August @"	0.243312
"April @."	0.23866
"January @"	0.235929
"December @"	0.233376
"February @"	0.227274
"Feb @@"	0.226499
"Sept @@"	0.218397
"Oct @@"	0.218252
"Aug @@"	0.216538
"November @"	0.216151
"Dec @@"	0.21043
"Nov @@"	0.210354
"Jan @@"	0.202821
"Aug @"	0.20159
"Sept @"	0.200394
"Jan @"	0.192418
"Oct @"	0.187776
"July @."	0.185409
"June @."	0.182361
"March @@, @@@@"	0.174442
"Nov @"	0.174393
"May @."	0.173393
"Dec @"	0.168342
"Feb @"	0.166131
"April @, @@@@"	0.16185
"April @@, @@@@"	0.160412
"March @."	0.157269
"July @, @@@@"	0.156593
"May @@, @@@@"	0.152992
"June @@, @@@@"	0.15112
"Dec @@, @@@@"	0.149672
"July @@, @@@@"	0.146163
"January @, @@@@"	0.145299
"Dec. @."	0.142529
"May @, @@@@"	0.142216
Friday	0.141052
"December @@, @@@@"	0.139245
Thursday	0.137002
"Sept. @."	0.134168
Sunday	0.133991
Monday	0.133447
"Jan. @."	0.133188
Wednesday	0.133122
"Jan @, @@@@"	0.132557
"Feb. @."	0.132191
Tuesday	0.131703
"Oct. @."	0.130713
"June @, @@@@"	0.130089
"April @@-@@"	0.129972
Saturday	0.12857
"Sept @@, @@@@"	0.12825
"Aug. @."	0.12783
"Nov @@, @@@@"	0.127742
"September @."	0.127517
"March @, @@@@"	0.12735
"February @."	0.127118
"December @."	0.122887
"Oct @, @@@@"	0.122212
"July @@-@@"	0.122159
"Nov. @."	0.121078
"November @@, @@@@"	0.120667
"January @@, @@@@"	0.119336
"June @@-@@"	0.119114
"Aug @@, @@@@"	0.119048
"OCT @@, @@@@"	0.118971
"November @."	0.118709
"Jan @@, @@@@"	0.118051
"August @@-@@"	0.116376
"September @@, @@@@"	0.116096
"October @@-@@"	0.114797
"February @@, @@@@"	0.11387
"September @@-@@"	0.113347
"January @."	0.112879
"Sept @, @@@@"	0.112042
"October @."	0.11117
"October @, @@@@"	0.110362
"December @-@@"	0.109435
"October @@, @@@@"	0.10787
"May @@-@@"	0.106897
"March @@-@@"	0.106781
"Feb @@, @@@@"	0.105268
"August @."	0.104772
"January @@-@@"	0.101725
"Feb @, @@@@"	0.101595
"Aug @, @@@@"	0.0987939
"August @@, @@@@"	0.0983465
"December @, @@@@"	0.0968276
"Dec @, @@@@"	0.0964187
"November @@-@@"	0.0960963
"September @, @@@@"	0.0956903
"December @@-@@"	0.0953373
"Nov @, @@@@"	0.0949445
"February @, @@@@"	0.0944238
"November @, @@@@"	0.0882125
"June @-@@"	0.0857883
"July @-@@"	0.0852533
April	0.0846772
"Sept @@-@@"	0.0841629
night	0.0836116
"Aug @@-@@"	0.0779131
Evening	0.076342
September	0.0762699
morning	0.0755968
January	0.0748335
"August @, @@@@"	0.0742246
October	0.0740783
December	0.0736104
"New Year's Day"	0.0735439
July	0.0732734
"December @-@"	0.0732355
"July @@@@"	0.0731331
afternoon	0.0726612
February	0.0721042
tomorrow	0.0720073
November	0.0709794
"September @@@@"	0.0707797
may	0.0700667
"February @@-@@"	0.0699666
"April @@@@"	0.0692088
"Oct @@-@@"	0.0681391
"March @-@"	0.0677204
June	0.0668333
"April @-@"	0.0666891
August	0.0653653
"January @@@@"	0.0642983
"December @@@@"	0.0641903
"March @@@@"	0.0609906
"three weeks ago"	0.0597956
"New Year's eve"	0.0585269
"October @@@@"	0.0582087
"February @@@@"	0.0553617
"June @@@@"	0.0545161
"May @@@@"	0.0543801
mid-September	0.0543465
"Christmas Day"	0.0542011
"June @-@"	0.0536757
"Christmas Eve"	0.0533982
"August @@@@"	0.0524738
"two weeks ago"	0.0515506
"November @@@@"	0.0509665
midnight	0.0492066
weekends	0.0492018
"first day"	0.0482448
noon	0.0474092
mid-October	0.0467817
"Labor Day"	0.0444864
yesterday	0.0443999
mid-June	0.044084
Christmas	0.0440707
mid-November	0.0432686
tonight	0.0432509
"Memorial Day"	0.041834
"Thanksgiving Day"	0.0413577
eve	0.0410198
))
("April @, @@@@" (desc 15619.4) (sims
"March @@, @@@@"	0.289929
"Feb @@, @@@@"	0.279396
"May @@, @@@@"	0.271907
"Nov @@, @@@@"	0.270455
"March @, @@@@"	0.262452
"June @, @@@@"	0.262144
"Sept @, @@@@"	0.256296
"June @@, @@@@"	0.256264
"July @@, @@@@"	0.255727
"Dec @@, @@@@"	0.254091
"April @@, @@@@"	0.252641
"Aug @@, @@@@"	0.250985
"May @, @@@@"	0.249763
"Sept @@, @@@@"	0.246061
"Jan @@, @@@@"	0.244397
"Oct @, @@@@"	0.242563
"July @, @@@@"	0.238776
"OCT @@, @@@@"	0.237615
"Feb @, @@@@"	0.234405
"Aug @, @@@@"	0.233999
"Nov @, @@@@"	0.221204
"Dec @, @@@@"	0.20491
"Jan @, @@@@"	0.195198
"November @, @@@@"	0.184689
"October @, @@@@"	0.168224
"February @@, @@@@"	0.167246
"August @@, @@@@"	0.166316
"January @, @@@@"	0.16545
"January @@, @@@@"	0.163071
"April @."	0.162644
"April @"	0.16185
"October @@, @@@@"	0.157049
"December @, @@@@"	0.151491
"January @"	0.148652
"September @@, @@@@"	0.143545
"November @@, @@@@"	0.140366
"April @@"	0.138955
"June @@"	0.138663
"March @@"	0.138579
"June @."	0.138128
"Jan @@"	0.135838
"June @"	0.135205
"July @@"	0.133047
"August @@"	0.131037
"May @@"	0.130443
"January @@"	0.130113
"October @@"	0.130059
"December @@, @@@@"	0.129829
"February @@"	0.128731
"September @@"	0.127458
"Feb @@"	0.12662
"October @"	0.126567
"July @."	0.124725
"Nov @@"	0.124178
"July @"	0.12401
"March @"	0.122538
"December @@"	0.122146
Oct	0.120917
"May @"	0.119405
"October @."	0.118445
"September @"	0.118424
"Oct @"	0.117962
"Feb. @."	0.117872
"Oct @@"	0.116995
"May @."	0.116766
"Feb @"	0.116658
"August @"	0.116637
"Dec @@"	0.116555
AUG	0.116534
"November @@"	0.116456
"March @."	0.116327
"Aug @@"	0.116109
"Sept @@"	0.115237
"Oct. @."	0.11484
"November @"	0.114447
"Sept. @."	0.114384
"Jan @"	0.113439
"August @, @@@@"	0.112555
"Aug @"	0.110811
"September @, @@@@"	0.110385
"Sept @"	0.109963
"Jan. @."	0.109449
"January @."	0.107879
"September @."	0.107738
"February @."	0.107729
"February @, @@@@"	0.10746
"Dec @"	0.105879
"Dec. @."	0.101387
"December @"	0.101125
"February @"	0.0941036
"November @."	0.0921804
"Nov @"	0.0885739
"Aug. @."	0.0828391
"August @."	0.0752408
"Nov. @."	0.0700186
"December @."	0.0677119
"New Year's Day"	0.0596499
"about two weeks ago"	0.0539494
"April @@-@@"	0.0536056
"Christmas Day"	0.0524182
"nearly @@ years ago"	0.0507601
Jan	0.0495285
"April @@@@"	0.0455223
"July @@-@@"	0.04517
"Good Friday"	0.0441882
"June @@-@@"	0.0436834
"June @@@@"	0.042344
"New Year's eve"	0.0421685
"July @@@@"	0.0417543
"October @@@@"	0.0412871
"Sept @@-@@"	0.0411021
"four months ago"	0.0400054
))
("April @-@" (desc 4660.96) (sims
"March @-@"	0.218331
"February @@-@@"	0.168882
"December @-@"	0.167894
"July @@-@@"	0.166627
"May @-@"	0.164405
"September @@-@@"	0.164306
"November @@-@@"	0.164063
"April @@-@@"	0.159718
"September @-@"	0.159033
"December @-@@"	0.156476
"January @@-@@"	0.148577
"February @-@"	0.145899
"March @@-@@"	0.145755
"May @@-@@"	0.141689
"June @@-@@"	0.137415
"October @@-@@"	0.137104
"June @-@@"	0.129201
"June @-@"	0.126483
"December @@-@@"	0.126472
"August @@-@@"	0.126403
"October @-@"	0.123044
"July @-@@"	0.121179
"November @-@@"	0.121088
"November @-@"	0.11539
"April @-@@"	0.113187
"July @-@"	0.100825
"March @-@@"	0.0924537
"November @@"	0.0834099
"October @@"	0.07696
"Sept @@-@@"	0.076827
"February @@"	0.0753925
"May @-@@"	0.0737149
"December @@"	0.0712881
"September @"	0.069613
"August @@"	0.0684873
"April @"	0.0666891
"December @"	0.0645498
"February @."	0.0638862
"October @@, @@@@"	0.0618396
"September @@"	0.0614777
"December @."	0.0596544
"February @"	0.0595032
"July @."	0.059461
"January @@"	0.0588628
Asia-Europe	0.0580542
"November @."	0.0576443
"North Atlantic Council"	0.0571479
"February @, @@@@"	0.0563421
"October @"	0.054839
"Consultative Group"	0.0534446
"January @"	0.0529021
"October @."	0.0528746
"October @, @@@@"	0.0528678
"November @"	0.0525552
"December @@, @@@@"	0.0516586
"April @."	0.0514751
"Oct @@-@@"	0.0509277
"Dec. @."	0.050679
"August @"	0.0506116
"European Council"	0.0486617
"September @."	0.0483183
"Financial Supervisory Agency"	0.0480423
FOMC	0.0464188
"Congress Working Committee"	0.045709
"Davis Cup World Group"	0.0450851
"Golden League"	0.0447836
"General Committee"	0.0435931
AMM	0.04344
"Dai Bingguo"	0.043407
CMAG	0.0423021
"Nov @@-@@"	0.0419023
epee	0.0416226
"Faisal Husseini"	0.0413626
"Palestinian Central Council"	0.0412586
Narayanan	0.0407029
spacewalks	0.0404349
Oktoberfest	0.0402403
roadshow	0.0402066
))
("April @-@@" (desc 1269.49) (sims
"May @@-@@"	0.271442
"March @-@@"	0.228299
"July @-@@"	0.22679
"July @@-@@"	0.222213
"September @@-@@"	0.215708
"August @@-@@"	0.215479
"June @-@@"	0.207135
"November @@-@@"	0.200596
"March @@-@@"	0.197753
"June @@-@@"	0.19634
"April @@-@@"	0.193747
"December @@-@@"	0.185789
"December @-@@"	0.183465
"May @-@@"	0.174183
"Oct @@-@@"	0.172199
"Nov @@-@@"	0.171336
"October @@-@@"	0.170188
"February @@-@@"	0.168302
"Jan @@-@@"	0.16625
"September @-@@"	0.163035
"January @@-@@"	0.162376
"December @-@"	0.161141
"Aug @@-@@"	0.159257
"November @-@@"	0.154668
"March @-@"	0.151588
"November @-@"	0.136435
"September @-@"	0.134444
"May @-@"	0.132153
"April @-@"	0.113187
"Sept @@-@@"	0.108745
"February @, @@@@"	0.105751
"December @."	0.102942
"November @."	0.100952
"February @"	0.100751
"December @"	0.0989245
"February @-@"	0.0965506
"March @."	0.0941281
"February @."	0.0916172
"June @-@"	0.0915548
"September @"	0.0905331
"April @."	0.0886673
"Feb @@-@@"	0.0870704
"November @"	0.0809014
"October @."	0.0808723
"over @@ days"	0.0797251
"October @-@"	0.0744549
"over two days"	0.0655635
"Nov. @."	0.0630587
"Dec. @."	0.0625911
evenings	0.0590574
"October @@, @@@@"	0.0589204
"August @."	0.0586239
"January @@, @@@@"	0.0571995
"Feb. @."	0.057015
"July @-@"	0.0559274
"Aug. @@"	0.055433
"Dec @@-@@"	0.0512149
"nearly three years ago"	0.0489261
"next @@@ years"	0.0482752
Jun	0.0482304
"December @, @@@@"	0.0477681
"October @, @@@@"	0.0476698
"over three days"	0.0460659
"over @@ months"	0.0436129
"National Mall"	0.040466
))
("April @." (desc 15293.1) (sims
"May @."	0.24067
"April @"	0.23866
"July @."	0.238601
"June @."	0.23535
"June @@"	0.216577
"May @@"	0.215614
"April @@"	0.214749
"March @."	0.210913
"Feb. @."	0.208026
"March @@"	0.206659
"July @@"	0.205489
"Nov. @."	0.203182
"Sept. @."	0.196596
"Dec. @."	0.194777
"Aug. @."	0.192607
"Oct @@"	0.192193
"Oct. @."	0.189336
"October @@"	0.186446
"June @"	0.181375
"November @@"	0.180421
"December @."	0.178655
"July @"	0.177312
"Jan @@"	0.176334
"Feb @@"	0.175971
"August @@"	0.172972
"May @"	0.172712
"Sept @@"	0.172475
"Aug @@"	0.172449
"Jan. @."	0.171787
"September @@"	0.171573
"December @@"	0.169449
"February @@"	0.167745
"January @@"	0.166636
"March @@, @@@@"	0.166561
"August @."	0.165675
"April @, @@@@"	0.162644
"Nov @@"	0.161313
"Dec @@"	0.16055
"January @@, @@@@"	0.159355
"February @."	0.158538
"Dec @"	0.158111
"March @"	0.157765
"Oct @"	0.155357
"January @."	0.153973
"October @."	0.153605
"October @"	0.152708
"September @."	0.151666
"Sept @"	0.150938
"November @."	0.149807
"December @"	0.147632
"Feb @"	0.146056
"July @, @@@@"	0.145384
"Nov @"	0.142693
"Jan @"	0.140837
"November @"	0.138912
"May @@, @@@@"	0.13683
"Aug @"	0.135752
"June @@, @@@@"	0.135645
"January @"	0.13537
"September @"	0.134494
Friday	0.134214
"August @"	0.13166
"December @@, @@@@"	0.130329
"Jan @@, @@@@"	0.129097
"April @@, @@@@"	0.12786
Thursday	0.127353
Sunday	0.126536
"July @@, @@@@"	0.125367
"January @, @@@@"	0.124349
Wednesday	0.123152
Tuesday	0.122512
"May @, @@@@"	0.122505
"Sept @@, @@@@"	0.122459
"October @@, @@@@"	0.121863
"March @, @@@@"	0.119829
Monday	0.119474
"September @@, @@@@"	0.117924
Saturday	0.117788
"February @"	0.117139
"Jan @, @@@@"	0.11642
"Dec @@, @@@@"	0.110612
"Oct @, @@@@"	0.109626
"November @, @@@@"	0.109351
"June @@-@@"	0.106119
"February @, @@@@"	0.105138
"Sept @, @@@@"	0.105101
"November @@, @@@@"	0.104623
"June @, @@@@"	0.103658
"Nov @@, @@@@"	0.101256
"Aug @@, @@@@"	0.0999871
"Feb @@, @@@@"	0.0986711
"October @, @@@@"	0.097908
"August @@, @@@@"	0.0969432
"April @@-@@"	0.0955161
"February @@, @@@@"	0.0913323
"October @@-@@"	0.0903463
"March @@-@@"	0.0897815
"Aug @, @@@@"	0.088685
"April @-@@"	0.0886673
"July @@-@@"	0.0872479
"Dec @, @@@@"	0.0857726
"February @@-@@"	0.0851555
"August @, @@@@"	0.084667
"December @, @@@@"	0.0839125
"OCT @@, @@@@"	0.083635
"September @@-@@"	0.0774055
"Feb @, @@@@"	0.0769864
"August @@-@@"	0.0769006
"May @@-@@"	0.0752451
"Nov @, @@@@"	0.0730788
"Aug. @@"	0.0728559
Evening	0.0722621
"November @@-@@"	0.0721484
"Sept. @@"	0.0716139
"December @@-@@"	0.0709145
"Sept @@-@@"	0.0680764
"September @, @@@@"	0.0668718
tomorrow	0.0665123
"June @-@@"	0.0634928
"July @-@@"	0.0632427
"Oct @@-@@"	0.0630138
"New Year's Day"	0.0622209
"September @-@@"	0.0609255
"December @-@@"	0.0605012
"March @-@"	0.0592559
"January @@-@@"	0.0591646
"December @-@"	0.0568509
"Aug @@-@@"	0.054031
"New Year's eve"	0.0535548
"January @@@@"	0.0534158
"October @-@"	0.0530648
"Nov @@-@@"	0.0526146
"Christmas Eve"	0.0515782
"April @-@"	0.0514751
weekends	0.051172
"seven months ago"	0.0507924
"Christmas Day"	0.0506612
"February @-@"	0.0501924
"July @@@@"	0.0500916
"March @@@@"	0.0490837
night.	0.0490744
"December @@@@"	0.0472598
"Labor Day"	0.0472093
mid-October	0.0465117
"seasons ago"	0.045843
"Good Friday"	0.045551
mid-July	0.045441
tonight	0.04527
"Five months ago"	0.0437866
mid-April	0.0436768
nights	0.043435
mid-March	0.0429477
"five years ago"	0.0423686
"nine years ago"	0.0417738
"three years ago"	0.0411951
"two years ago"	0.0407154
"four months ago"	0.0403742
))
("April @@" (desc 72182.3) (sims
"May @@"	0.37714
"June @@"	0.36473
"July @@"	0.361818
"March @@"	0.356261
"May @"	0.332633
"April @"	0.327018
"June @"	0.323236
"July @"	0.296633
"October @@"	0.288753
"Aug @@"	0.285438
"August @@"	0.281817
"Sept @@"	0.276122
"September @@"	0.275662
"November @@"	0.273254
"Nov @@"	0.271368
"March @"	0.270919
"February @@"	0.267816
"Feb @@"	0.266218
"January @@"	0.262038
"Oct @@"	0.25832
"December @@"	0.256158
"Jan @@"	0.255949
"Dec @@"	0.24578
"Aug @"	0.235649
"August @"	0.234497
"September @"	0.232016
"October @"	0.22603
"December @"	0.220274
"June @."	0.218416
"July @."	0.217929
"May @."	0.217611
"February @"	0.216478
"Sept @"	0.21574
"April @."	0.214749
"November @"	0.21327
"January @"	0.201779
"Nov @"	0.195557
"Oct @"	0.194789
"Sept. @."	0.192754
"Jan @"	0.189655
Friday	0.189122
"April @@, @@@@"	0.189027
"Dec @"	0.18728
Wednesday	0.186612
"Feb @"	0.185441
Sunday	0.182908
Thursday	0.180652
"March @@, @@@@"	0.180295
Tuesday	0.1801
"March @."	0.180092
Monday	0.179491
Saturday	0.176498
"June @@, @@@@"	0.17113
"Oct. @."	0.168722
"Dec. @."	0.166038
"Jan. @."	0.163999
"Feb. @."	0.163739
"Aug. @."	0.158646
"Nov. @."	0.158185
"July @@, @@@@"	0.157252
"May @@, @@@@"	0.156538
"June @@-@@"	0.150282
"May @, @@@@"	0.144369
"January @, @@@@"	0.144139
"April @@-@@"	0.143973
"Sept @@, @@@@"	0.143381
"July @, @@@@"	0.142105
"April @, @@@@"	0.138955
"January @@, @@@@"	0.1373
"August @."	0.136818
"Dec @@, @@@@"	0.135469
"December @@, @@@@"	0.134722
"February @."	0.134373
"Oct @, @@@@"	0.133836
"Jan @@, @@@@"	0.132928
"December @."	0.132089
"September @."	0.128955
"Jan @, @@@@"	0.128836
"January @."	0.128464
"July @@-@@"	0.12823
"October @."	0.127545
"Aug @@, @@@@"	0.127501
"March @, @@@@"	0.125122
"August @@-@@"	0.124791
"October @@-@@"	0.124627
"Nov @@, @@@@"	0.121827
"June @, @@@@"	0.121775
"May @@-@@"	0.121485
"March @@-@@"	0.120865
"November @@-@@"	0.120299
"September @@-@@"	0.11963
"Feb @@, @@@@"	0.118067
"OCT @@, @@@@"	0.116689
"October @@, @@@@"	0.11638
night	0.114946
"September @@, @@@@"	0.114748
"February @, @@@@"	0.114219
"November @."	0.112316
"December @@-@@"	0.110823
morning	0.11029
"August @@, @@@@"	0.109652
"February @@-@@"	0.107981
"Dec @, @@@@"	0.10719
"February @@, @@@@"	0.106978
"Sept @, @@@@"	0.106658
"Aug @, @@@@"	0.106579
"November @@, @@@@"	0.106215
"Nov @, @@@@"	0.104979
"Feb @, @@@@"	0.0984201
Evening	0.0976721
"January @@-@@"	0.0975416
afternoon	0.0971589
"June @-@@"	0.0970632
"November @, @@@@"	0.0962178
"December @, @@@@"	0.0960925
"August @, @@@@"	0.0959728
April	0.0956064
September	0.0939007
October	0.0934423
"September @, @@@@"	0.093364
tomorrow	0.0921293
today	0.0915804
December	0.0886425
"Oct @@-@@"	0.0882221
"October @, @@@@"	0.0873393
January	0.0871368
June	0.0869572
may	0.0859577
July	0.084222
"New Year's Day"	0.0840128
"Sept @@-@@"	0.08397
November	0.0839567
"Aug @@-@@"	0.0838429
February	0.0791177
August	0.0747344
"December @@@@"	0.0746025
"New Year's eve"	0.0745685
"July @@@@"	0.0741605
March	0.0740619
weekend	0.0730513
"April @@@@"	0.0714538
"September @@@@"	0.069839
"March @@@@"	0.0696946
"November @@@@"	0.0692373
"January @@@@"	0.0684732
"October @@@@"	0.0661477
"June @@@@"	0.0653098
"two weeks ago"	0.0640581
day	0.0638201
"Labor Day"	0.0631602
tonight	0.0631193
yesterday	0.0625707
"April @-@"	0.0625421
"Christmas Eve"	0.0617073
"Christmas Day"	0.0616658
"February @@@@"	0.0614819
Spring	0.0614736
midnight	0.0611192
noon	0.0591515
"May @@@@"	0.0589286
"last week"	0.0578764
"August @@@@"	0.0574269
weekends	0.057034
now	0.056194
summer	0.0550118
eve	0.0530045
nights	0.051994
"Memorial Day"	0.0513178
Christmas	0.0510793
basis	0.0509183
"four years ago"	0.0507769
"two years ago"	0.0504633
"first day"	0.0494
here	0.0473566
"three weeks ago"	0.0465727
Thanksgiving	0.046307
"six years ago"	0.0454852
"week ago"	0.043653
behalf	0.0434648
"two days"	0.0421546
"one day"	0.0419756
"election day"	0.0418211
"three years ago"	0.0417562
autumn	0.0410264
three-day	0.0403698
))
("April @@, @@@@" (desc 24022.5) (sims
"May @@, @@@@"	0.293399
"July @@, @@@@"	0.292449
"June @@, @@@@"	0.291669
"Feb @@, @@@@"	0.283552
"March @@, @@@@"	0.280717
"May @, @@@@"	0.278517
"Nov @@, @@@@"	0.269288
"Sept @@, @@@@"	0.269081
"Aug @@, @@@@"	0.265128
"Jan @@, @@@@"	0.26119
"OCT @@, @@@@"	0.257449
"April @, @@@@"	0.252641
"June @, @@@@"	0.239513
"Sept @, @@@@"	0.239103
"Dec @@, @@@@"	0.238582
"Feb @, @@@@"	0.236678
"Oct @, @@@@"	0.23294
"March @, @@@@"	0.231441
"Aug @, @@@@"	0.221405
"Dec @, @@@@"	0.219221
"July @, @@@@"	0.201812
"April @@"	0.189027
"Nov @, @@@@"	0.188999
"August @@, @@@@"	0.18713
"September @@, @@@@"	0.184966
"May @@"	0.168321
"January @@, @@@@"	0.166259
"July @@"	0.166086
"February @@, @@@@"	0.16541
"Jan @, @@@@"	0.160439
"April @"	0.160412
"March @@"	0.154991
"May @"	0.153717
"December @, @@@@"	0.153686
"June @@"	0.152274
"October @@, @@@@"	0.151567
"Aug @@"	0.15119
"Aug @"	0.150669
"November @@, @@@@"	0.146755
"Jan @@"	0.146509
"December @@, @@@@"	0.144317
"November @, @@@@"	0.142679
"August @@"	0.142551
"December @@"	0.141054
"June @"	0.138666
"Feb @@"	0.138406
"Oct @@"	0.135562
"Dec @@"	0.134862
"Sept @@"	0.134026
"August @, @@@@"	0.133756
"October @@"	0.132528
"October @, @@@@"	0.129472
"January @@"	0.129137
"Nov @@"	0.128053
"April @."	0.12786
"February @, @@@@"	0.127766
"May @."	0.127022
"September @@"	0.126214
"August @"	0.125807
"Sept @"	0.124438
"July @"	0.123531
"March @"	0.123176
"January @, @@@@"	0.122686
"June @."	0.119489
"January @"	0.119086
"November @@"	0.118624
"Dec @"	0.118326
"July @."	0.116174
"February @@"	0.113469
"September @"	0.112199
"October @"	0.111404
"September @, @@@@"	0.109692
"Feb @"	0.108352
"Sept. @."	0.108198
"Jan @"	0.107095
"March @."	0.106878
"Jan. @."	0.106376
"Oct. @."	0.104407
"November @"	0.102485
Oct	0.0995795
"Oct @"	0.0994847
"Dec. @."	0.0987428
"Nov @"	0.0985372
"Feb. @."	0.0970251
"February @"	0.096908
AUG	0.0967716
Tuesday	0.0945569
Wednesday	0.0945017
Thursday	0.0918468
Sunday	0.0914026
Friday	0.090529
Monday	0.0898035
"December @"	0.0897871
"Aug. @."	0.0890901
"January @."	0.0879929
Saturday	0.0879726
"September @."	0.0872743
"October @."	0.086991
"August @."	0.0846688
"Nov. @."	0.0844046
"February @."	0.0827542
"December @."	0.0805782
"Christmas Eve"	0.0724318
"New Year's Day"	0.0703376
"November @."	0.0665581
"April @@-@@"	0.0637587
"July @@-@@"	0.0616123
"June @@-@@"	0.059514
"December @@-@@"	0.0582276
"May @@-@@"	0.0580789
"Christmas Day"	0.0563992
"New Year's eve"	0.0563742
Evening	0.053345
"Dec @@-@@"	0.0487756
outskirt	0.0475994
"April @@@@"	0.0457624
"Aug @@-@@"	0.0431845
"February @@@@"	0.0420375
"two weeks ago"	0.0418877
"July @@@@"	0.041699
"March @@-@@"	0.0409175
weekends	0.0406641
"September @@@@"	0.0406323
"week ago"	0.0403526
"nine years ago"	0.0402992
))
("April @@-@@" (desc 9130.12) (sims
"July @@-@@"	0.338616
"June @@-@@"	0.332266
"October @@-@@"	0.308684
"November @@-@@"	0.305372
"January @@-@@"	0.290493
"March @@-@@"	0.289407
"September @@-@@"	0.287634
"May @@-@@"	0.285737
"December @-@@"	0.265001
"February @@-@@"	0.262423
"December @@-@@"	0.259552
"August @@-@@"	0.259437
"June @-@@"	0.24264
"Oct @@-@@"	0.217218
"March @-@"	0.197714
"April @-@@"	0.193747
"March @-@@"	0.184491
"Nov @@-@@"	0.177557
"December @"	0.173994
"December @-@"	0.173566
"Aug @@-@@"	0.173542
"Feb @@-@@"	0.173386
"July @-@@"	0.172013
"November @@"	0.164918
"October @@"	0.163182
"Sept @@-@@"	0.161918
"April @-@"	0.159718
"September @@"	0.159061
"Jan @@-@@"	0.157337
"February @@"	0.156091
"May @-@"	0.150785
"June @-@"	0.150373
"January @@"	0.1491
"November @-@@"	0.144754
"April @@"	0.143973
"September @-@"	0.142334
"December @@"	0.141228
"June @@"	0.140983
"August @@"	0.140765
"September @"	0.139841
"Dec @@-@@"	0.139448
"June @"	0.136812
"November @"	0.135265
"April @"	0.129972
"October @-@"	0.129696
"May @@"	0.129388
"September @-@@"	0.129326
"February @"	0.128132
"February @-@"	0.127213
"October @"	0.126983
"July @@"	0.125077
"May @-@@"	0.123756
"November @-@"	0.121303
"March @@"	0.118393
"February @."	0.117935
"May @"	0.11776
"December @."	0.110855
"March @"	0.108183
"Feb @@"	0.105179
"July @."	0.101604
"May @."	0.101249
"July @"	0.0960486
"April @."	0.0955161
"March @."	0.0953915
"August @"	0.0953095
"Aug @@"	0.0934605
"June @."	0.0920338
"Nov @@"	0.091003
"Jan @@"	0.0896608
"July @-@"	0.0875893
"January @"	0.0866429
"September @."	0.0854118
"Dec. @."	0.084295
"October @@, @@@@"	0.0815465
"Feb. @."	0.0811669
"Oct @@"	0.0800968
"February @, @@@@"	0.0798125
"Feb @"	0.0797325
"Oct @"	0.0780875
"Dec @@"	0.0774152
"October @."	0.0763377
"Sept @@"	0.0760955
"November @."	0.075827
"Dec @"	0.0750362
"December @@, @@@@"	0.073029
"May @@, @@@@"	0.0729883
"Nov @"	0.0725724
"August @@, @@@@"	0.0704994
"August @."	0.0701347
"Aug @"	0.0682873
"Nov. @."	0.0671885
"April @@, @@@@"	0.0637587
"October @, @@@@"	0.0634425
ten-day	0.0633159
"March @@, @@@@"	0.0624215
"Nov @@, @@@@"	0.0618953
"Aug. @."	0.0617525
"January @@, @@@@"	0.0614726
"Oct. @."	0.0613278
"June @@, @@@@"	0.0612999
"February @@, @@@@"	0.0605315
six-hour	0.0594895
"August @, @@@@"	0.0578286
"Jan @"	0.0564375
"Sept @"	0.0557088
two-hour	0.0550881
"July @@, @@@@"	0.054822
nine-hour	0.0543802
"Sept @@, @@@@"	0.0537513
"April @, @@@@"	0.0536056
"Sept @, @@@@"	0.0524619
four-hour	0.0523772
"November @@, @@@@"	0.0518063
"over @@ days"	0.0511516
"May @, @@@@"	0.050943
seven-hour	0.050618
"September @@, @@@@"	0.0505125
"September @, @@@@"	0.0503125
"June @, @@@@"	0.0497982
eight-hour	0.0492828
"November @, @@@@"	0.0491474
five-hour	0.0488069
two-week	0.0485832
"December @, @@@@"	0.0484024
one-week	0.0481982
five-day	0.0474977
"January @, @@@@"	0.0474079
three-day	0.0472042
"Feb @@, @@@@"	0.0466959
four-day	0.0465053
"Nov @, @@@@"	0.0464439
"Jan @@, @@@@"	0.046319
"Aug @@, @@@@"	0.0462583
"July @, @@@@"	0.0460003
"Sept. @."	0.0450698
"March @, @@@@"	0.0447319
"Oct @, @@@@"	0.044564
one-hour	0.0443311
"Jan @, @@@@"	0.0443097
autumn	0.0441946
eight-day	0.0441915
"Dec @, @@@@"	0.0435899
"OCT @@, @@@@"	0.0433753
noon	0.0419703
evenings	0.0416045
"New Year's eve"	0.0414714
three-hour	0.0407173
Bishkek	0.0405081
"from @@@@ to @@@@"	0.0404891
six-day	0.0403862
nine-day	0.0400933
))
("April @@@@" (desc 36868.4) (sims
"October @@@@"	0.33107
"March @@@@"	0.315898
"December @@@@"	0.314754
"November @@@@"	0.313442
"February @@@@"	0.311742
"July @@@@"	0.310685
"August @@@@"	0.309141
"September @@@@"	0.302105
"June @@@@"	0.297552
"May @@@@"	0.294785
"January @@@@"	0.292499
April	0.239438
October	0.221652
February	0.221248
January	0.215841
July	0.208599
December	0.206022
June	0.203258
September	0.201778
November	0.198623
may	0.196321
August	0.192963
"April, @@@@"	0.183026
"late @@@@"	0.16817
March	0.159832
"December, @@@@"	0.139155
"October, @@@@"	0.138697
"July, @@@@"	0.134643
"June, @@@@"	0.13402
"May, @@@@"	0.132483
"September, @@@@"	0.119311
"January, @@@@"	0.116984
mid-October	0.113039
mid-July	0.110111
mid-June	0.109778
"late @@@@s"	0.107181
mid-December	0.107067
"November, @@@@"	0.104328
mid-May	0.103625
mid-April	0.102383
"March, @@@@"	0.10154
mid-August	0.101254
mid-January	0.10047
mid-@@@@	0.100061
"February, @@@@"	0.099524
mid-September	0.0951253
mid-November	0.0945341
"August, @@@@"	0.0916158
"first quarter"	0.0863828
mid-March	0.0843469
"fiscal @@@@"	0.0820115
Mid-February	0.0811946
Spring	0.0810187
"second quarter"	0.0795958
"June @@"	0.0783903
"first half"	0.0782799
"May @@"	0.07802
"first six months"	0.0773015
mid-@@@@s	0.0769471
"third quarter"	0.0751673
autumn	0.0746571
summer	0.0729686
"March @@"	0.0728875
"first three months"	0.0715808
"April @@"	0.0714538
"Aug @@"	0.0706005
"first four months"	0.069857
"July @"	0.0697359
"Oct @@"	0.0692493
"April @"	0.0692088
"July @@"	0.0677419
"Jan @@"	0.0674248
"Nov @@"	0.0668162
"first seven months"	0.0664181
"first five months"	0.0663918
"Feb @@"	0.0660595
"May @"	0.0656034
"first week"	0.0655118
"Dec @@"	0.0647305
"September @@"	0.0644273
"Oct @"	0.0644252
"June @"	0.0637612
"first @@ months"	0.0633749
"first nine months"	0.063215
"March @@, @@@@"	0.0615282
"August @@"	0.0611766
"Sept @@"	0.0605873
"Jan @"	0.0602501
"first eight months"	0.0600639
"Aug @"	0.0591069
"January @@"	0.0587922
predawn	0.0586034
"second half"	0.0584066
"March @"	0.058363
"June @@, @@@@"	0.0575699
wake	0.0564979
"a few months"	0.0545577
"October @@"	0.053996
"February @@"	0.0539361
"December @@"	0.0538682
"July @, @@@@"	0.0531485
"fiscal year"	0.0528932
"January @, @@@@"	0.0525368
"Nov @"	0.0521399
"May @."	0.0510603
accordance	0.050533
"last quarter"	0.0502259
"Feb @"	0.0499629
"November @@"	0.0484086
"January @"	0.0483546
"Dec @@, @@@@"	0.0475581
"Jan @, @@@@"	0.0471229
quarter	0.0469073
"three months"	0.0466996
aftermath	0.0466698
"first year"	0.046443
"first two months"	0.0463819
"Sept @"	0.0461712
"Dec @"	0.045877
"April @@, @@@@"	0.0457624
"last three months"	0.0457559
"April @, @@@@"	0.0455223
"a few weeks"	0.0451665
"first three quarters"	0.045105
"two years"	0.0444263
mid-'@@s	0.0442026
"year end"	0.0441889
afternoon	0.0441853
"about @@@@"	0.0440791
Arusha	0.0440567
Oslo	0.0439627
"Jan. @."	0.0435968
l@@@	0.0435615
"August @"	0.043517
"October @"	0.0427776
middle	0.0427524
"six months"	0.0425021
Windhoek	0.0424471
B.C	0.042418
Lusaka	0.0423146
"next two months"	0.0422608
"December @@, @@@@"	0.0422381
"three years"	0.0421186
"second week"	0.0420947
"April @."	0.0418274
"last two months"	0.0416417
"first ten months"	0.0415877
"two weeks"	0.040696
Evening	0.0401718
))
("April Oliver" (desc 1488.32) (sims
"Jack Smith"	0.207278
"John Wells"	0.170828
"Norman Lear"	0.167563
"Don Hewitt"	0.146382
"Jerry Bruckheimer"	0.129776
Oliver	0.123777
"Livent Inc."	0.11461
"Steven Bochco"	0.110354
"Bernard Shaw"	0.106618
"Peter Arnett"	0.101833
"Christiane Amanpour"	0.0982458
"Mark Johnson"	0.0935924
Warshaw	0.0800233
"Aaron Spelling"	0.0776646
Rodionov	0.0740005
"Aaron Sorkin"	0.0730557
"Tom Johnson"	0.0692061
"Lou Dobbs"	0.0676734
Sununu	0.0675611
"Late Edition"	0.0639645
"Quincy Jones"	0.0636202
Demaci	0.062088
Drabinsky	0.0609292
Katzenberg	0.0595312
"Barry Levinson"	0.0585162
Livent	0.0582679
booker	0.0582508
Yadav	0.0579181
Beckwith	0.057575
"Phelps Dodge"	0.0574274
Muckler	0.0564899
Weisman	0.0555531
"Garth Drabinsky"	0.0555387
Denel	0.0545882
Barad	0.0539381
"R.J Reynolds Tobacco Co."	0.0535584
"Dan Meridor"	0.0535099
Alcoa	0.0532886
Mukora	0.0530713
"Bora Milutinovic"	0.0529425
Gullit	0.0525894
Neeman	0.0525414
Skuratov	0.0525316
Nemtsov	0.0523724
Quackenbush	0.0521499
EEOC	0.0520204
RIAA	0.0519421
"Doug Johnson"	0.0517405
"Matt Groening"	0.051477
"Dick Clark"	0.0506549
Dana	0.0505198
"Bill Skate"	0.0504797
Guei	0.0502688
"Southeastern Legal Foundation"	0.0500942
Ribbeck	0.049598
Jewell	0.0495565
McMullen	0.0491085
Ftorek	0.0488035
"De Beers"	0.0485266
Schiller	0.0484573
Bain	0.0481253
CFTC	0.0480485
"Patricia Smith"	0.0475767
Joklik	0.0471133
"welfare worker"	0.0470711
whistleblowers	0.0469618
Advani	0.0467319
"David Halberstam"	0.0463904
"David E. Kelley"	0.045953
RCMP	0.0458943
"New Line Cinema"	0.0458847
Manley	0.0458584
"Tim Floyd"	0.0457197
Cornyn	0.0457172
Hunsicker	0.0456947
Chubais	0.0455753
"Kevin Williamson"	0.0454882
"Jeffrey Katzenberg"	0.0451468
Aoki	0.0449222
Datong	0.044862
Rai	0.0445251
"Bill Lockyer"	0.0444629
"Beth Israel"	0.043783
Alarcon	0.0433655
"Salim Saleh"	0.0433404
"fellow worker"	0.0430273
Vialli	0.0429358
"Richard Blumenthal"	0.0429065
Asarco	0.0427934
Talebi	0.0423077
Ruehe	0.0419921
Fran	0.0417639
"Phil Coles"	0.0417385
Moonves	0.04149
Ruthardt	0.0412218
Cavallo	0.041177
Tarrin	0.0411239
Collymore	0.0410065
Zadornov	0.0409972
"Entertainment Weekly"	0.0409457
Lambright	0.0407486
Wiseman	0.0405731
Maslyukov	0.0405415
Brazile	0.0404434
co-creator	0.0402523
"Billy Martin"	0.0402408
Gallo	0.0401009
GoTo.com	0.0400986
))
("April, @@@@" (desc 3448.18) (sims
"May, @@@@"	0.235172
"December, @@@@"	0.227996
"July, @@@@"	0.22741
"October, @@@@"	0.218747
"November, @@@@"	0.192512
"June, @@@@"	0.185332
"April @@@@"	0.183026
"November @@@@"	0.169119
"October @@@@"	0.160881
"January, @@@@"	0.159364
"March, @@@@"	0.155815
"September @@@@"	0.154426
"June @@@@"	0.15442
"December @@@@"	0.154055
"September, @@@@"	0.151732
"August, @@@@"	0.151644
"August @@@@"	0.149791
"May @@@@"	0.147
"March @@@@"	0.14552
"February @@@@"	0.140807
"February, @@@@"	0.134822
"July @@@@"	0.13396
mid-November	0.122843
"late @@@@"	0.121018
April	0.11735
mid-May	0.115893
"January @@@@"	0.113746
mid-October	0.103854
mid-July	0.0991774
Ashkhabad	0.0987178
mid-March	0.0936909
mid-December	0.0929045
mid-April	0.0900396
mid-January	0.0788906
mid-August	0.0769189
Mid-February	0.0749661
mid-@@@@	0.0708089
mid-September	0.0704563
Sirte	0.0704042
mid-June	0.0702712
"Nigerian capital"	0.0685004
Cochabamba	0.0673399
"Algerian capital"	0.0667829
Marrakesh	0.0663303
Kyoto	0.062745
l@@@	0.0619508
"Egyptian capital"	0.0604478
Bulawayo	0.0582802
autumn	0.0582653
Taba	0.0532243
"next two days"	0.0524361
"first four months"	0.0517381
Bamako	0.0517358
"two to three years"	0.0503724
RAMBOUILLET	0.0496963
"less than two years"	0.049638
"four to six weeks"	0.0485898
"small hours"	0.0472016
Tashkent	0.0465931
Midrand	0.0464627
"Southern Province"	0.0464066
Cartagena	0.046335
"Pudong New Area"	0.0461666
"less than three months"	0.046082
"past two days"	0.0458811
Lome	0.0458484
"late @@@@'s"	0.0451028
"Great Hall"	0.0450845
"Shenzhen City"	0.0448527
"from January to September"	0.044842
"national capital"	0.0446641
"third week"	0.0445502
"Shenzhen Special Economic Zone"	0.0441606
Chisinau	0.044039
Windhoek	0.0435452
Valletta	0.0435217
"Group B."	0.0432684
"Quezon City"	0.0432502
"Central Mindanao"	0.0429374
Luxemburg	0.0428646
"East Room"	0.042804
"Banja Luka"	0.0427498
"next two weeks"	0.0425982
"second and third quarters"	0.0424349
Catania	0.042292
mid-@@th	0.0419169
Cologne	0.0416189
Ndola	0.0415338
Basle	0.0409757
BRASILIA	0.0407907
"Less than two weeks"	0.0401523
Durban	0.0401483
"next two months"	0.0400299
))
(Aprilia (desc 1820.39) (sims
Yamaha	0.391714
Ducati	0.2298
Suzuki	0.229469
Honda	0.201079
Reynard-Honda	0.196832
McLaren-Mercedes	0.172036
Gan	0.158116
Benetton	0.134916
McLaren	0.122739
Polti	0.121578
Kawasaki	0.120867
Ferrari	0.0983013
"Subaru Impreza"	0.0939794
Celica	0.0887729
"Mercatone Uno"	0.0880197
Harley	0.086922
Banesto	0.0856368
Jeux	0.0791534
Coulthard	0.0768598
Buggy	0.0753342
rom	0.0751796
Harley-Davidson	0.0750372
TVM	0.0734174
Reynard	0.0711586
Hakkinen	0.07032
Villeneuve	0.0665915
airball	0.0651255
Schumacher	0.0647721
Imola	0.0646118
"mountain bike"	0.0637103
Longo	0.0629373
Cofidis	0.0624003
Telekom	0.0613897
FRA	0.0611174
Wiberg	0.060358
"Hiroyasu Shimizu"	0.0601544
Porsche	0.0599154
CHN	0.0598045
"Chevrolet Monte Carlo"	0.0591967
Peugeot	0.0588925
Festina	0.0581298
"Jacques Villeneuve"	0.0578966
"Pan Ams"	0.0563419
Herta	0.0560569
lawnmower	0.0559221
"Le Defi Francais"	0.055639
ESP	0.0555873
Ru	0.0552353
Gavin	0.0549475
"Straight Talk Express"	0.0544032
"second tour"	0.0539875
Millar	0.0535245
"Laffit Pincay"	0.0535136
coattail	0.0531954
Muni	0.0531831
"Michael Schumacher"	0.052688
Roba	0.0519437
scooter	0.0517788
Sainz	0.0517374
"Wang Chunlu"	0.0512586
Mapei	0.0512577
moped	0.0511699
"Ralf Schumacher"	0.0510476
Maxi	0.0509696
"Horned Frogs"	0.050845
"Carlos Sainz"	0.0508416
Lotto	0.0503521
updraft	0.0502176
"over six"	0.0502029
Ita	0.0501303
sled	0.0496028
jeepney	0.0492715
"Martina Ertl"	0.0488988
"Prada Challenge"	0.0488574
MG	0.0488543
Weber	0.0485912
kph	0.048453
"U.S. Postal Service"	0.0483532
"Favorite Trick"	0.0480265
"Christine Arron"	0.0479425
"Koji Ito"	0.0479374
Stagecoach	0.0478828
snowmobile	0.0478389
"Scotty Bowman"	0.0478088
"London Marathon"	0.0474709
m.p.h	0.0474658
"Irina Privalova"	0.0471275
Zabel	0.0462362
CAA	0.0461385
"DPR Korea"	0.0460538
medallist	0.045977
"Chris Boardman"	0.0457334
Bart	0.0452854
Olano	0.0452259
aptitude	0.0451361
escalator	0.0451199
"Richard Burns"	0.0450552
"high bar"	0.0448226
"first basket"	0.0447155
Chevrolet	0.0445317
"Jenny Thompson"	0.044183
"Frankie Fredericks"	0.0441217
Rossi	0.044081
Pony	0.0439641
"Red Bullet"	0.0438831
"lawn mower"	0.0438504
Pontiac	0.0436752
Corolla	0.0436363
"Stephen Got Even"	0.0436117
"cable car"	0.0435143
"Ford Escort"	0.0435077
Guerra	0.0434968
"up to five"	0.0434468
motorbike	0.0433629
Ganassi	0.0432708
"six to eight"	0.0432085
putback	0.0430819
biathlon	0.0429887
"Stars and Stripes"	0.0429799
tricycle	0.042957
"Solheim Cup"	0.0429043
Szabo	0.0428306
AU	0.0420339
"Red Star"	0.0418911
Meissnitzer	0.0418794
watercraft	0.0418588
inbounds	0.0418116
"more than five"	0.0415563
PSV	0.0414592
Thibault	0.0414205
"Michael Klim"	0.0412118
"Big Sky Conference"	0.0411607
"over four"	0.0409313
"Colin McRae"	0.0408036
parachutist	0.0405473
"Allen Johnson"	0.0405093
"Roush Racing"	0.0405006
career-best	0.0404394
Biffle	0.0404068
K-State	0.0403858
"Michael Von Gruenigen"	0.0402806
skateboard	0.0402605
biplane	0.0400333
"AFC Central"	0.0400182
))
(apron (desc 14815.8) (sims
sweatshirt	0.154343
scarf	0.143557
smock	0.13982
tunic	0.130111
jacket	0.129809
sweater	0.129248
shirt	0.128613
overcoat	0.128479
coat	0.127381
vest	0.126016
"baseball cap"	0.1243
suspender	0.122442
"hard hat"	0.119072
pant	0.118475
skirt	0.118092
robe	0.116698
jumpsuit	0.116047
hat	0.115962
blouse	0.115484
trouser	0.11453
sock	0.113969
shawl	0.11193
dress	0.110605
"leather jacket"	0.109922
pajama	0.107549
T-shirt	0.107303
"cowboy boot"	0.107037
gown	0.106845
tights	0.106722
bandana	0.105998
bandanna	0.105862
"polo shirt"	0.104793
"blue jean"	0.104304
"rubber boot"	0.104077
beret	0.104051
"tennis shoe"	0.103936
"feather boa"	0.103501
"dress shirt"	0.10293
sunglasses	0.101403
wig	0.100397
jean	0.100353
"sweat pants"	0.100038
knickers	0.0999626
cardigan	0.0996578
"business suit"	0.0978746
kimono	0.0976767
raincoat	0.0964223
jersey	0.0962088
slipper	0.095952
boot	0.0958172
shoe	0.0950025
Bonnet	0.0945618
waistcoat	0.0941949
"trench coat"	0.0938941
Poncho	0.093741
windbreaker	0.0934586
turtleneck	0.0932933
sandal	0.0930505
collar	0.0930386
coverall	0.0928962
sneaker	0.0924373
tablecloth	0.0915894
towel	0.0915649
turban	0.0913655
"life jacket"	0.0912136
parka	0.0910674
"cowboy hat"	0.0908841
uniform	0.0905959
bikini	0.0902814
headband	0.0901871
blazer	0.0897711
"evening gown"	0.0889321
cloth	0.088637
bathrobe	0.0882872
helmet	0.0876751
"bathing suit"	0.0871734
pantsuit	0.0868743
sarong	0.0866206
glove	0.0858003
"dark glasses"	0.0855691
bluejeans	0.0849973
"fur coat"	0.0849582
halter	0.0847481
headdress	0.0842644
underwear	0.0832806
"boxing glove"	0.0832337
"military uniform"	0.083055
"straw hat"	0.0829194
blanket	0.0828675
"life vest"	0.0828006
tuxedo	0.0822479
underpants	0.0821445
mask	0.0816823
denim	0.0816256
pullover	0.0813044
"ski mask"	0.0811696
"bow tie"	0.0810576
veil	0.0810203
khaki	0.0809958
cap	0.080103
Cape	0.0800352
undershirt	0.0799452
sleeve	0.0788959
wristband	0.0782665
corduroy	0.0781584
fedora	0.0778331
cloak	0.0777025
slack	0.0776977
bra	0.0763102
goggles	0.0756207
handbag	0.0753353
pillowcase	0.0752933
mitten	0.0751846
slicker	0.0750718
bandage	0.0746828
bellbottoms	0.0746289
taxiway	0.0745677
Sash	0.0745438
handkerchief	0.0745131
Sari	0.0744916
armband	0.0741209
mitt	0.0740914
chiffon	0.0739471
nightgown	0.0739199
caftan	0.0737703
bodice	0.073126
camisole	0.0727606
costume	0.0727568
ribbon	0.0722735
yarmulke	0.0714073
capris	0.0710491
necktie	0.0708429
garb	0.0706092
"prayer shawl"	0.0703567
"top hat"	0.0695671
legging	0.0692364
loafer	0.0688067
"hot pants"	0.0678992
miniskirt	0.0678511
runway	0.0678299
kilt	0.0678169
"sports jacket"	0.0678003
Outfit	0.0676284
Clothing	0.0675739
"parking area"	0.0675
bag	0.0669968
velvet	0.0669117
corset	0.0666281
pouch	0.0656972
swimsuit	0.06564
gloves	0.0654617
belt	0.0651873
linen	0.0650177
visor	0.0649193
pad	0.0647527
silk	0.0642155
trousers	0.0639968
cleat	0.0637502
stocking	0.0637018
"name tag"	0.063027
camouflage	0.0618799
garment	0.061681
"evening dress"	0.0616531
plaid	0.0616445
quilt	0.0613588
lipstick	0.0612343
"stiletto heel"	0.0611093
"cocktail dress"	0.0610789
"bowler hat"	0.0610174
"running shoe"	0.0609023
tux	0.0608514
eyeliner	0.060655
leather	0.0602598
"polka dot"	0.0599827
Chino	0.0596679
bracelet	0.0595262
taffeta	0.0594862
shorts	0.0593324
headgear	0.0593045
petticoat	0.0591817
loincloth	0.0589698
fatigues	0.0589282
hair	0.0588219
"pants suit"	0.0587811
Thong	0.0587559
satin	0.0587468
"black tie"	0.0587427
napkin	0.0586984
ruffle	0.0584939
skullcap	0.0584913
"mink coat"	0.0584529
miniskirts	0.0583952
moccasin	0.0582895
fabric	0.058261
bib	0.0581753
fur	0.0575694
pajamas	0.0575318
Tutu	0.0574772
"control tower"	0.0573772
muffler	0.0567578
))
("Apt Pupil" (desc 990.931) (sims
"Red Violin"	0.111868
"Nurse Betty"	0.0924051
"Blair Witch Project"	0.0696912
"Cider House Rules"	0.0639813
"Eyes Wide Shut"	0.0632463
"Fight Club"	0.0626169
"Lethal Weapon @"	0.0614386
psycho	0.0598487
"Very Bad Things"	0.0580214
"Meet Joe Black"	0.05722
"Mod Squad"	0.0571119
"Cradle Will Rock"	0.0568988
"Little Voice"	0.0568293
Rushmore	0.0567757
"Truman Show"	0.0555341
"Thin Red Line"	0.055456
"Princess Mononoke"	0.0549205
"Mighty Joe Young"	0.0534595
stepmom	0.0527633
"Central Station"	0.0509431
"American Psycho"	0.0502028
"Green Mile"	0.0500033
Girlfight	0.0484698
"Simple Plan"	0.0477846
Hilary	0.0467722
"Blair Witch"	0.0462238
ripley	0.0457542
"Random Hearts"	0.0456226
"Stuart Little"	0.0456005
EdTV	0.0451476
"Parent Trap"	0.044899
"Erin Brockovich"	0.044639
Antz	0.0445858
"Get Real"	0.0439927
"Iron Giant"	0.0439584
Ravelstein	0.0438221
"Twenty-five percent"	0.0436512
"Space Cowboys"	0.0430538
"chicken run"	0.0430385
LIMEY	0.0428777
"Runaway Bride"	0.0428565
Auriemma	0.0421385
Stigmata	0.0419335
Mumford	0.0416829
Gielgud	0.0414064
Costner	0.0413979
"Civil Action"	0.0412336
Trixie	0.0403226
"Pulp Fiction"	0.0402553
))
(aptitude (desc 6094.6) (sims
"Red Bullet"	0.121645
proficiency	0.113309
"Fusaichi Pegasus"	0.0977392
Menifee	0.0975479
stamina	0.0940421
Malek	0.0934099
Behrens	0.0932141
"Cat Thief"	0.092646
Trippi	0.0916788
"High Yield"	0.0912467
"Desert Hero"	0.0864377
"Lemon Drop Kid"	0.0831109
"Ecton Park"	0.0812752
"Silver Charm"	0.0811202
acumen	0.0803283
"Victory Gallop"	0.0787673
"Cash Run"	0.0773471
competency	0.0754789
dexterity	0.0754107
Artax	0.0741635
vicar	0.0726423
passion	0.0726301
charismatic	0.072571
"Banshee Breeze"	0.0721917
fortitude	0.0720193
"Worldly Manner"	0.0719291
enthusiasm	0.0711381
"sense of smell"	0.0709553
Chilukki	0.0706147
commendable	0.0704022
temperament	0.0698713
intuition	0.0695039
inclination	0.069405
resiliency	0.0690118
intellect	0.068908
"Running Stag"	0.0688918
agility	0.0687912
"Real Quiet"	0.0677354
empathy	0.0675488
"Free House"	0.0675314
affinity	0.0674928
patience	0.06733
competence	0.0670073
"Skip Away"	0.0669782
knack	0.0667429
"Prime Timber"	0.0659415
flair	0.0657222
Silverbulletday	0.0655581
polygraph	0.0648339
"Puerto Madero"	0.0643798
"Answer Lively"	0.0642777
charisma	0.0639658
comprehension	0.0634049
"Favorite Trick"	0.0632924
athleticism	0.0628095
MCAS	0.0626736
versatility	0.0623495
resilience	0.0621589
perseverance	0.0617252
Adonis	0.0605008
fluency	0.060452
courage	0.060248
Budroyale	0.0600524
"Old Trieste"	0.0594113
"Forest Camp"	0.0593731
"Winning Colors"	0.0591262
endurance	0.0589795
toughness	0.0582363
deftness	0.0579119
"War Chant"	0.0578267
motivation	0.0577909
prowess	0.0574603
instinct	0.0573466
"Isolde Kostner"	0.0571823
genius	0.0571808
tenacity	0.0570632
Surfside	0.0568022
predisposition	0.0564556
appetite	0.0564532
explosiveness	0.0564083
know-how	0.0556177
foresight	0.0554677
mettle	0.0554595
Anees	0.0547836
finesse	0.054623
hesitancy	0.0544628
"sense of humor"	0.0541509
self-control	0.0538797
Creativity	0.0536115
"sense of responsibility"	0.0535354
sophistication	0.0534192
pedigree	0.053406
Daylami	0.0532936
"River Keen"	0.0532178
inkling	0.0530332
"Jeff Ward"	0.0526125
maturity	0.0523956
feistiness	0.0522983
Valhol	0.0520806
expertise	0.0520157
"atom bomb"	0.0519987
mastery	0.0518958
Alydar	0.0515355
"Excellent Meeting"	0.0514068
self-awareness	0.0512309
TAAS	0.0510118
self-confidence	0.05099
"Awesome Again"	0.0509818
literacy	0.0508422
virtuosity	0.0507387
predilection	0.0507285
suitability	0.0504722
brilliance	0.0504042
nimbleness	0.0503859
"magnetic resonance imaging"	0.0502204
"frame of reference"	0.0501408
distaste	0.0501368
originality	0.0499109
"Stephen Got Even"	0.0498282
"A.P Indy"	0.0497181
grit	0.0495337
qualification	0.0493562
self-discipline	0.0493477
moxie	0.0493469
savvy	0.0492752
durability	0.0486077
affection	0.0485519
"joie de vivre"	0.0482864
sincerity	0.0482795
subtlety	0.0479871
mammogram	0.047813
"reaction time"	0.0476687
toxicity	0.0476361
"inferiority complex"	0.0476125
propensity	0.0475104
"Brian Watts"	0.0473582
oomph	0.0473549
ingenuity	0.0472404
knowhow	0.0472355
physique	0.046912
"staying power"	0.0468673
"raw talent"	0.046819
"College Board"	0.0465403
quickness	0.0464978
consistency	0.0464921
sensitivity	0.0464682
effervescence	0.0464247
reverence	0.0463843
ebullience	0.0462187
adaptability	0.0461281
"dividend payment"	0.0458978
theorem	0.0458797
brainpower	0.045863
audacity	0.0458596
fitness	0.0456713
inhibition	0.0455249
professionalism	0.0453576
"good will"	0.0452341
vigor	0.0451979
Aprilia	0.0451361
SAT	0.0451101
algorithm	0.0448177
bravery	0.0447578
selflessness	0.0446651
pity	0.0444443
fearlessness	0.0443967
Cunning	0.0443823
resourcefulness	0.0441781
swagger	0.0438197
guile	0.0436236
Leeway	0.0435881
IQ	0.0435138
Tanui	0.0433393
Luck	0.0432684
imagination	0.0431986
wit	0.0431203
gravitas	0.0431038
familiarity	0.0430156
tact	0.0429098
"teaching method"	0.0427737
expressiveness	0.0426757
compassion	0.0426524
Tuzla	0.0424514
"common sense"	0.0424218
"Bobby Labonte"	0.0423529
radioactivity	0.0422761
"Michael Weiss"	0.042219
"Jearl Miles-Clark"	0.0421952
vocabulary	0.0421738
"Scott Goodyear"	0.0420331
heft	0.0419062
"elbow room"	0.041832
thoroughbred	0.0417961
compatibility	0.0416715
superiority	0.0416034
aggressiveness	0.041465
"Touch Gold"	0.0414557
quirk	0.0414454
"peace of mind"	0.0414329
"Laffit Pincay"	0.0413804
))
(APTN (desc 1243.63) (sims
APTV	0.420304
ABC-TV	0.0966622
Post-Intelligencer	0.0926873
UPI	0.0851035
"Dateline NBC"	0.0821119
CBS-TV	0.0816651
CBC	0.0770219
pi	0.0745441
"British Broadcasting Corp."	0.0745221
BBC	0.0731045
"Golf Channel"	0.0702133
"Stride Rite"	0.0696855
Oregonian	0.069105
"television news"	0.0680821
NTV	0.0668328
C-Span	0.0663159
WSB	0.0648727
Russert	0.0643445
"San Antonio Express-News"	0.0641631
CNBC	0.0634698
Alltel	0.0614171
Aliev	0.061326
Farrell	0.0601657
APA	0.060161
"NBC News"	0.0601229
Quokka	0.058288
"Chicago Tribune"	0.0578162
Lamberth	0.0575101
CTV	0.0575029
Walters	0.0573542
"Cable News Network"	0.0570373
RCN	0.0566471
CNA	0.056589
ORT	0.0564654
XYLAN	0.056434
Haaretz	0.0550753
"Cincinnati Enquirer"	0.0549884
Couric	0.0547309
CalPERS	0.0544592
"Dallas Morning News"	0.0542037
Broaddrick	0.0536453
DNR	0.0529216
ABS-CBN	0.0526234
"Radio Liberty"	0.052075
"Oxford University Press"	0.0516169
Caltrans	0.0507918
Esrey	0.0507706
Skiles	0.0505673
"Fort Worth Star-Telegram"	0.0500948
"Q&AMP;A"	0.0499951
NHK	0.0495538
"Fox News Channel"	0.0490366
"Denver Post"	0.0484519
NBC-TV	0.0480114
CNN/SI	0.0475955
Enquirer	0.0475101
"Boston Herald"	0.0473412
IRNA	0.0471964
Jovanovic	0.0471358
"Fox News"	0.0471124
Merritt	0.0468763
Izvestia	0.0466304
aldermen	0.0466065
DLC	0.0464973
Mockingbird	0.046201
Televisa	0.0458906
Connell	0.0457565
N.Z	0.0455481
Duracell	0.0454944
"Edward R. Murrow"	0.0452952
"Barbara Walters"	0.0449825
Bateman	0.0449224
"New Jerseyans"	0.0448879
Kessler	0.0446241
Ahold	0.0446235
Meskini	0.0444217
"Sporting News"	0.0442255
"U.S. Agriculture Department"	0.0441317
"Radio Free Asia"	0.044002
Inquirer	0.0439917
"Ford Focus"	0.0435995
NTRA	0.0432765
fire-fighter	0.0427452
"Los Angeles Daily News"	0.0425921
"New York Times Magazine"	0.042325
WAM	0.0421686
"Brian Cashman"	0.0418982
Spiegel	0.041813
Stossel	0.0416816
Neff	0.041474
notary	0.0413966
"Korean Air"	0.0413354
"National Journal"	0.0412342
Star-Ledger	0.0412008
"Dan Rather"	0.0408069
"Rolling Stone"	0.0407294
Sponeck	0.04068
Biskind	0.04067
McAlister	0.0406459
"CBS SportsLine"	0.0404503
Ganassi	0.0403385
"Civil Rights Act"	0.0403315
NSA	0.0401694
))
(APTV (desc 1003) (sims
APTN	0.420304
Patten	0.0901935
CBO	0.0815782
EOHR	0.0815114
"Truth Commission"	0.077009
"Business Times"	0.0767677
"U.S. Agriculture Department"	0.0762307
Post-Intelligencer	0.0724481
Brahimi	0.0717657
WAM	0.0714528
Skiles	0.0692039
Vollebaek	0.0686603
Alltel	0.0668302
"Ghana News Agency"	0.0655249
"Congressional Democrats"	0.0651053
"Dateline NBC"	0.0648901
Nanula	0.0645028
Barad	0.0642783
CalPERS	0.0628038
"US State Department"	0.0619443
"television news"	0.0618865
Quokka	0.0613544
NHTSA	0.0612452
pi	0.0605433
McAlister	0.0603099
TDC	0.0602509
RBA	0.0601339
Purcell	0.0599658
frontpage	0.0597876
Forrester	0.0591422
Stossel	0.0588487
Beazley	0.0585897
ABC-TV	0.0581317
CBC	0.0579539
"NBC News"	0.0578557
"Fox News Channel"	0.0576105
"Tehran Times"	0.0575311
IEA	0.0573892
Guterres	0.0572577
"Economic Planning Agency"	0.057063
McHugh	0.056776
SSB	0.0566505
Esrey	0.0564987
Spiegel	0.0561883
Vance	0.0561117
CSC	0.0554414
"United Press International"	0.0550767
CMAG	0.0550717
IFC	0.0550293
"Q&AMP;A"	0.0547159
CNA	0.0543632
"La Bella"	0.054277
Mackey	0.054245
IRNA	0.0541873
Kumaratunga	0.0537097
CCTV	0.0536148
"Agence France Presse"	0.0535647
RCN	0.0534169
CAA	0.053406
ORT	0.0532495
Ikeda	0.0531904
"ethics panel"	0.0526868
"de Charette"	0.0526428
personalization	0.0523675
Moratinos	0.0522973
Scalfaro	0.0521826
Leuchter	0.0518682
DNR	0.0518559
Al-Ahram	0.0517052
"Arizona Republic"	0.0516456
"Conference Board"	0.0509155
Globalstar	0.0508985
Sahnoun	0.050478
IDC	0.0499375
Xiao	0.0497891
Meissner	0.0495129
Zou	0.0494686
Eurostat	0.0493299
RNA	0.0492718
CTV	0.0491165
"National Journal"	0.0489935
LaBella	0.0488756
Tuttle	0.04887
"Senate Banking Committee"	0.0488696
Hazen	0.0487549
Venables	0.0486685
"Straits Times"	0.048532
"Washington Times"	0.0484598
Luong	0.048048
"Brian Cashman"	0.0479586
BEA	0.0477223
Haaretz	0.047682
Bloomberg	0.047341
Insulza	0.047208
Babitsky	0.0470059
Kessler	0.0469709
"National Transportation Safety Board"	0.0469323
Tanaka	0.0468202
"San Antonio Express-News"	0.0467279
rickey	0.0465439
Enquirer	0.0464508
Ogata	0.0463867
Wolfensohn	0.0463632
Bondevik	0.0463545
"Stride Rite"	0.0463248
Azad	0.0463085
"American Petroleum Institute"	0.0462668
NRC	0.046178
"Saudi Press Agency"	0.0460535
"Daily Nation"	0.0460471
ESPN@	0.0459137
Grasso	0.0456664
Monson	0.0456519
Narayanan	0.0455993
"surgeon general"	0.0453902
ATA	0.045297
McDonnell	0.0450156
Solondz	0.0449816
"Frank Rich"	0.0449248
"Evening Standard"	0.0449174
INA	0.0448559
sid	0.0446695
"El Pais"	0.0443347
"New Jerseyans"	0.0442746
Komura	0.0442568
add-on	0.0441921
SAPA	0.0441271
Satcher	0.0440747
"Radio Free Asia"	0.0439999
FPL	0.0439893
"standing room"	0.0439644
ITC	0.0438995
Sumaye	0.0437812
"British Broadcasting Corporation"	0.0437496
"Families USA"	0.0436388
Donnie	0.0436318
Lamberth	0.0435982
poly	0.0435267
TiVo	0.0435187
"Seattle Times"	0.0434827
Notimex	0.0434258
"Dan Rather"	0.0434038
Broaddrick	0.0432034
Ringling	0.0431108
Demps	0.0430627
PSC	0.0429804
"call waiting"	0.0429562
ECW	0.0429489
"Nihon Keizai Shimbun"	0.0429376
Alarcon	0.0426273
Shareh	0.0426258
Granma	0.0426233
"Turkish Daily News"	0.0425378
FOMC	0.0423144
"Le Monde"	0.0423004
Feerick	0.0422518
ILO	0.0422423
"Whole Foods"	0.0421896
"Commerce Committee"	0.0421572
phaseout	0.0421489
Cem	0.0420678
"Maung Aye"	0.0420317
"Ethics Commission"	0.041714
"Golf Channel"	0.0417022
Pickering	0.0415513
Witt	0.0413371
Hightower	0.0412639
Lewises	0.0412165
XYLAN	0.0412019
"Khaleej Times"	0.0411466
Ben-Ami	0.0410833
Sponeck	0.0409118
"Institute of Medicine"	0.0408454
Stoyanov	0.0406267
HKTA	0.040621
"Entertainment Tonight"	0.0404704
Qiao	0.0403677
RSS	0.0402758
Farrell	0.0402715
Couric	0.0402456
grandkids	0.0402234
"CBS SportsLine"	0.0401452
Haines	0.0401128
fact-finding	0.040101
Rasmussen	0.0400788
Echols	0.0400388
"Joint Liaison Group"	0.0400278
Ansa	0.0400169
))
(Aqaba (desc 5010.11) (sims
Eilat	0.204352
Antalya	0.182978
Cartagena	0.158993
Haifa	0.15481
Larnaca	0.154446
el-Sheikh	0.153065
Aden	0.14379
Durres	0.143311
Jeddah	0.137587
Sochi	0.136651
Phuket	0.132637
Sirte	0.131596
Mombasa	0.130775
Taba	0.130221
Chittagong	0.128494
Alexandria	0.126903
Amman	0.125754
Assab	0.123896
Trincomalee	0.123635
Beira	0.120379
Cebu	0.118887
Durban	0.118582
Dubrovnik	0.117156
Murmansk	0.116492
Rafah	0.114758
Kisumu	0.111523
Qinhuangdao	0.111331
"Victoria Falls"	0.109328
Gdansk	0.108678
Suez	0.107836
Entebbe	0.107349
Ensenada	0.10638
Sihanoukville	0.10628
Luxor	0.106144
Tripoli	0.105577
Bushehr	0.10553
Salonica	0.103983
Acapulco	0.102037
"Banja Luka"	0.101397
Matadi	0.101278
Damascus	0.10017
Cochabamba	0.0995136
Sheikh	0.0992971
Davao	0.0972246
Nago	0.0971722
"Montego Bay"	0.0968208
Auckland	0.0967884
Qingdao	0.096576
Gaza	0.0961579
Limassol	0.09585
"Surat Thani"	0.0954347
Davos	0.0952767
Sevastopol	0.0952354
Chennai	0.0950905
CANCUN	0.094587
Dushanbe	0.0945403
Pusan	0.094468
Vientiane	0.093702
MAPUTO	0.0932844
Lianyungang	0.0930828
BLANTYRE	0.0928709
Riyadh	0.0927511
Almaty	0.0925087
Xiamen	0.0918453
Malaga	0.0916162
Beidaihe	0.090649
Dalian	0.0898309
Beihai	0.0890117
"Tel Aviv"	0.0889613
Aswan	0.0887237
Ningbo	0.0881474
Ramallah	0.0880011
"Siem Reap"	0.0878671
Thessaloniki	0.0876
Kandahar	0.0872915
Inchon	0.086952
Algiers	0.0869396
Pattaya	0.0863622
Merida	0.0863612
Sanya	0.0859778
Kismayu	0.0858086
CAIRO	0.0855427
Kaohsiung	0.0851395
Tapachula	0.0844843
Vlore	0.0838534
Doha	0.0838005
Galle	0.0835423
Basra	0.0832535
Bamiyan	0.0831579
Odessa	0.0830671
Catania	0.0827093
Karachi	0.082497
Lumbini	0.082266
Salzburg	0.0820177
Jalalabad	0.0819904
"CHIANG MAI"	0.0810523
Helsinki	0.0809824
COLOMBO	0.0807341
Antwerp	0.0806908
Ashkelon	0.0802413
SANAA	0.0802038
Krasnoyarsk	0.080115
Lubumbashi	0.0800663
Veracruz	0.0796877
Yokohama	0.0792926
Rabat	0.079161
Manta	0.0791499
Windhoek	0.0791429
"Dead Sea"	0.0790161
Istanbul	0.0787823
TUNIS	0.0785175
Guayaquil	0.0783299
Tianjin	0.0782691
Yantai	0.078065
Warri	0.0778273
Izmir	0.0776596
Vladivostok	0.077487
Muscat	0.0774109
Cardiff	0.0770803
Quanzhou	0.0768563
Gaborone	0.0767959
Limon	0.0767021
"Nigerian capital"	0.0764047
Salonika	0.0763322
Arusha	0.0763226
Lome	0.0762929
Zhangjiagang	0.0761629
Merca	0.0757964
Beirut	0.0757881
Casablanca	0.0756506
Calcutta	0.075639
"Santo Domingo"	0.0753951
Nagoya	0.075139
Toulon	0.0750911
"Egyptian capital"	0.0750779
Ashkhabad	0.0750714
Tuzla	0.0750138
Langkawi	0.0746958
Haikou	0.0744824
Isfahan	0.0743812
CARACAS	0.0742978
Mwanza	0.0741964
este	0.0739021
Mazar-i-Sharif	0.0738318
Goteborg	0.0738303
"ALMA ATA"	0.0738173
Bishkek	0.0737398
Guilin	0.0736015
Kigoma	0.0732007
Luanda	0.0730481
Piraeus	0.0729584
"Abu Dhabi"	0.0729287
Huambo	0.0727475
Mtwara	0.0725486
Trieste	0.0724062
Vladikavkaz	0.0723355
Ismailia	0.0722161
Caguan	0.0721552
Eindhoven	0.0721344
Bali	0.0720837
LISBON	0.0719956
Libreville	0.0718968
Maseru	0.0718778
Christchurch	0.0716727
Yinchuan	0.0715806
Chamonix	0.0715083
Bulawayo	0.0713162
Khartoum	0.071269
Ouagadougou	0.0706926
Golmud	0.0706047
Sharjah	0.0704
Makhachkala	0.0703337
Valparaiso	0.0701505
"Cape Town"	0.0698484
Zhangjiajie	0.0696329
Djibouti	0.0695317
Zhanjiang	0.0694167
Bangalore	0.0693333
Kalemie	0.0687143
Fuzhou	0.0684699
Ceyhan	0.068287
Kano	0.0680879
Basle	0.0679919
Tehran	0.0679403
Kuching	0.0678129
MANAMA	0.0677568
Podgorica	0.0676767
Novosibirsk	0.067336
Islamabad	0.0670921
Izmit	0.0670361
"San Salvador"	0.0669091
Cologne	0.0668866
Jericho	0.066808
Yogyakarta	0.0665865
Abidjan	0.0665777
Ndola	0.0665076
Lahore	0.0662881
ZHOUSHAN	0.0662051
"Dar es Salaam"	0.0661073
Golcuk	0.0660972
))
(aqua (desc 4661.21) (sims
turquoise	0.173844
periwinkle	0.158436
chartreuse	0.154949
fuchsia	0.14929
mauve	0.124283
lilac	0.119374
crimson	0.116154
Pink	0.114556
purple	0.110977
lavender	0.108518
Burgundy	0.1085
beige	0.107209
violet	0.103314
indigo	0.0963201
maroon	0.0948901
Yellow	0.0937496
"polka dot"	0.0924142
aquamarine	0.0922709
"dark blue"	0.086024
teal	0.0837175
Orange	0.0834301
"navy blue"	0.0833559
"deep red"	0.0827655
ivory	0.0765353
plaid	0.0758848
lime	0.0733337
peach	0.0688093
"Chez Panisse"	0.0679973
"Le Cirque @@@@"	0.0671825
pastel	0.0644937
sapphire	0.0638836
"royal blue"	0.0633079
"cobalt blue"	0.062251
tangerine	0.0621522
garnet	0.0621176
"Le Bernardin"	0.0614536
Spago	0.0610797
grapefruit	0.0608635
organza	0.0588406
taffeta	0.058564
chamomile	0.0584019
taupe	0.0573587
cashmere	0.0573287
denim	0.0565362
silk	0.0558206
neon	0.0537236
wraparound	0.0528535
"black and white"	0.0518001
slinky	0.0516814
lemon	0.0512872
grey	0.0511503
Scarlet	0.0508295
plum	0.0502255
mohair	0.0498981
persimmon	0.0487555
COUTURE	0.0485965
peppermint	0.0483432
suede	0.0483048
butterscotch	0.0476267
fishnet	0.0469018
"application program"	0.0467905
Lycra	0.0464581
Ruby	0.0460097
cobalt	0.0447637
hooter	0.0441046
platinum	0.0440338
"olive green"	0.0433661
Mondrian	0.0433154
abacus	0.04308
Wedgwood	0.0430563
avocado	0.0428413
clingy	0.0428404
sherbet	0.0428312
chenille	0.0426679
GT	0.0425128
wool	0.0421873
brocade	0.0419579
"nail polish"	0.0418294
linen	0.0416568
lipstick	0.0415713
coral	0.0413596
colours	0.0412893
"Union Jack"	0.0412007
emerald	0.0411317
calypso	0.0411143
Steakhouse	0.0409551
tweed	0.0408269
"light brown"	0.0407795
kiddie	0.0407335
enamel	0.0404044
melon	0.0401102
))
(aquaculture (desc 3957.75) (sims
"animal husbandry"	0.257048
aquiculture	0.236543
forestry	0.179172
fishery	0.177923
aquatics	0.165028
mining	0.163657
husbandry	0.160228
breeding	0.144649
export-oriented	0.136287
horticulture	0.130924
agriculture	0.126722
conservancy	0.125135
shipbuilding	0.124168
processing	0.123556
bioengineering	0.122484
metallurgy	0.121214
petrochemical	0.120028
irrigation	0.119007
"chemical industry"	0.118969
Livestock	0.118896
farming	0.117825
tourism	0.115792
cultivation	0.11291
biotechnology	0.111688
"solar energy"	0.109527
fishing	0.108572
"nuclear energy"	0.108213
"building material"	0.103351
"coal gas"	0.102347
manufacturing	0.101506
"road construction"	0.101173
agronomy	0.0998893
refining	0.0995061
"mineral resource"	0.0972333
Telecoms	0.0970247
conservation	0.0963677
warehousing	0.0952266
hydropower	0.0947228
aerospace	0.0942354
desalination	0.094196
"life science"	0.0941951
"high technology"	0.0939765
petroleum	0.0930045
aeronautics	0.0914075
"oil palm"	0.0906735
logging	0.0895826
"wind power"	0.0894794
reclamation	0.0893893
Microelectronics	0.088371
agribusiness	0.0882999
telecommunication	0.0880222
"consumer credit"	0.0873044
aviation	0.0859698
machine-building	0.0851508
transportation	0.0849871
biomass	0.0835534
methane	0.0835517
ranching	0.0835417
shipping	0.0835392
"information technology"	0.0815764
"veterinary medicine"	0.0811877
poultry	0.0797684
engineering	0.0796837
exploration	0.0794483
dairy	0.0791744
"Multimedia Super Corridor"	0.0790928
"natural resource"	0.0784485
geology	0.0778339
plantation	0.0772408
pharmaceutical	0.0770428
planting	0.0759084
reforestation	0.0746778
afforestation	0.0746556
refrigeration	0.0743925
"civil engineering"	0.0740067
"electric power"	0.0738312
extraction	0.073601
handicraft	0.0730989
"information science"	0.0729638
"sugar cane"	0.072905
urbanization	0.0728481
high-yield	0.0727731
timber	0.0726836
"Environmental Protection"	0.0719346
industrialization	0.0717647
IC	0.0715124
"opium poppy"	0.0714866
electronics	0.0698057
"sugar beet"	0.0696526
automation	0.0685919
biodiversity	0.0683303
"specialty chemical"	0.0682368
CDMA	0.068027
utilization	0.0676394
"social science"	0.0675452
"debt market"	0.0672798
textile	0.0672425
"real estate"	0.0670952
TMD	0.0669297
"medical science"	0.0669001
drilling	0.0667017
e-business	0.0666914
catering	0.0666699
boating	0.0666693
sanitation	0.0662761
MSC	0.0661
meteorology	0.0659595
Zhongguancun	0.0650426
"central heating"	0.0650411
TCM	0.0645842
"e- commerce"	0.0644926
"construction industry"	0.0643592
"chain store"	0.064068
"rare earth"	0.0639977
"vocational education"	0.0639787
retailing	0.0638376
"California wine"	0.0637544
grazing	0.0631942
recreation	0.0630834
coca	0.0629914
confectionery	0.0627966
"genetic engineering"	0.0627939
medium-sized	0.0627904
retail	0.0627743
genomics	0.0627604
multimedia	0.0625107
oceanography	0.0624086
paddy	0.0621131
Lumbini	0.0619217
biotech	0.0618357
hatchery	0.0617861
"raw material"	0.0617412
"social welfare"	0.0616475
"electronics industry"	0.0613903
"coal industry"	0.0613821
"frozen food"	0.0612052
sugarcane	0.0611435
recycling	0.0610575
exploitation	0.0609275
leasing	0.0607142
mineral	0.0606732
"higher education"	0.0606296
"computer graphics"	0.0606205
prospection	0.0606158
"fiber optics"	0.0601348
"atomic energy"	0.0599684
ecology	0.0595555
"mechanical engineering"	0.0594263
smallholder	0.0590808
"oil production"	0.0589552
entrepreneurship	0.0589149
state-owned	0.0589057
Trucking	0.058811
"earth science"	0.0585852
navigation	0.0582521
"consumer goods"	0.0581182
preservation	0.0580385
"Rural Development"	0.0580256
surveying	0.0580217
olestra	0.0580151
SDH	0.0579298
"fire control"	0.0578317
"five key"	0.0578135
jute	0.0574476
"dairy product"	0.0572321
"natural gas"	0.0572138
"water supply"	0.057192
telemedicine	0.0570497
"nuclear power"	0.0568841
"land development"	0.0568821
"public works"	0.0566274
"shipbuilding industry"	0.0565618
deforestation	0.0564578
"beef cattle"	0.0564213
"oil industry"	0.0562246
"public utility"	0.0561979
"biological science"	0.0561338
"information service"	0.0557721
"interior decoration"	0.0555015
sisal	0.0554221
silkworm	0.0551365
ecotourism	0.0550075
foodstuff	0.0546657
"urban planning"	0.054614
"elementary education"	0.0543609
nutrition	0.0542246
"environmental science"	0.0541608
forwarding	0.0539864
biogas	0.0539806
"home appliance"	0.0539466
"computer technology"	0.0536762
NMD	0.0536588
vending	0.0535632
robotics	0.053563
"garbage disposal"	0.0534271
semiconductor	0.0534169
cocoa	0.0534013
"family planning"	0.0532164
non-oil	0.0531533
"ground water"	0.0528383
))
(aquamarine (desc 1483.72) (sims
turquoise	0.201658
chartreuse	0.132018
"cobalt blue"	0.13016
emerald	0.111688
lilac	0.108367
teal	0.102864
sapphire	0.0983846
aqua	0.0922709
garnet	0.0866712
"deep red"	0.0753423
mauve	0.073706
indigo	0.0732365
lavender	0.0722376
"royal blue"	0.0720765
"dark blue"	0.0693861
periwinkle	0.0661172
violet	0.0634651
curvy	0.0623259
rippling	0.0557798
fuchsia	0.0556379
"black flag"	0.0540332
cobalt	0.0508478
Montauk	0.047763
Mullaitivu	0.0476866
Evian	0.0447977
six-foot	0.0415225
tricolor	0.0413727
Baltic	0.041313
lapping	0.0412335
Onyx	0.0407117
))
(aquarium (desc 14656.5) (sims
zoo	0.109456
museum	0.107548
"botanical garden"	0.106204
"shopping mall"	0.0928099
"theme park"	0.0905974
planetarium	0.0890492
"art gallery"	0.0876895
"amusement park"	0.0867742
"entertainment center"	0.08494
library	0.0830465
"swimming pool"	0.0824442
"exhibition hall"	0.0798372
SPA	0.078409
"shopping center"	0.078265
hotel	0.0762718
"movie theater"	0.0761145
mall	0.0757624
"conference center"	0.0743448
Warehouse	0.0741062
"science museum"	0.0736609
Casino	0.07246
gallery	0.0717752
"golf course"	0.0717692
pavilion	0.0717348
clinic	0.0709156
pond	0.0708208
restaurant	0.0708021
"concert hall"	0.0695045
"office building"	0.0694639
"football stadium"	0.0690422
"research center"	0.068563
theater	0.0672683
"manufacturing plant"	0.0672678
"skating rink"	0.0662667
laboratory	0.0660725
"particle accelerator"	0.0658516
garden	0.0649811
pool	0.0642826
"opera house"	0.0642592
"community center"	0.0640187
factory	0.0635093
garage	0.0624478
Tower	0.0622876
"fish tank"	0.0622633
"gift shop"	0.0621711
bakery	0.0619702
"Museum of Chinese History"	0.0618888
memorial	0.0617832
cafe	0.0617792
shelter	0.0617093
winery	0.0611414
"medical center"	0.0607638
lab	0.0607566
led	0.0604974
"music hall"	0.0602522
synagogue	0.0600919
tank	0.0598476
lake	0.0594654
"art collection"	0.0594545
mansion	0.0592168
Smithsonian	0.0590234
resort	0.0588968
"toy store"	0.0588343
greenhouse	0.058666
kiosk	0.05859
"industrial park"	0.058103
bookstore	0.0579107
institute	0.057607
nursery	0.0574718
"dance hall"	0.0570841
palace	0.0570294
hatchery	0.0569332
arena	0.056893
storehouse	0.0567727
studio	0.0567149
chapel	0.0566527
attraction	0.0566366
"bowling alley"	0.0562127
headquarters	0.0559921
reservoir	0.0559254
sanctuary	0.0559231
pantry	0.0558902
supermarket	0.0556475
hall	0.0554441
auditorium	0.0551985
showroom	0.0551844
"department store"	0.0550407
stadium	0.0547242
orphanage	0.0547047
inn	0.054676
Marina	0.0544323
gymnasiums	0.0541477
"housing development"	0.0540287
"post office"	0.0539666
"retail store"	0.053915
"suspension bridge"	0.0538176
"recreational facility"	0.0533578
depot	0.0530531
"file cabinet"	0.0530072
nightclub	0.0529664
booth	0.0529375
plaza	0.0529263
gym	0.0528283
cinema	0.0527829
tavern	0.0527212
amphitheater	0.0521437
"Zoo Atlanta"	0.0521229
motel	0.0520854
"resort hotel"	0.052082
terminal	0.0519934
edifice	0.0515799
"employment agency"	0.0513648
megaplexes	0.0513629
"civic center"	0.0513158
boutique	0.0512454
"sports arena"	0.0512223
"chain store"	0.0511484
arboretum	0.051133
gymnasium	0.0510113
"Guggenheim Museum"	0.050914
condominium	0.0507849
"movie house"	0.0506983
slaughterhouse	0.0506574
Ballpark	0.0506239
observatory	0.050574
shrine	0.0505116
smelter	0.0505053
"funeral home"	0.0504732
playground	0.0504406
atrium	0.0501627
wharf	0.0501474
condo	0.0501095
brewery	0.0500659
kennel	0.049918
tunnel	0.0498899
cemetery	0.0498654
academy	0.0497993
fireplace	0.0497646
spas	0.0496736
"branch office"	0.0496334
"radio telescope"	0.0496304
discotheque	0.0495903
conservatory	0.0495436
enclosure	0.0494004
"repair shop"	0.0493558
parlor	0.0492576
temple	0.049235
"pipe organ"	0.0491898
distillery	0.0491768
"nursing home"	0.0491652
ballroom	0.0489629
reptile	0.048879
skyscraper	0.048846
"machine shop"	0.0488241
treehouse	0.0486979
Disneyland	0.0486672
lounge	0.0485788
lagoon	0.0484625
barn	0.048454
harbor	0.0483429
kitchen	0.0483008
"gas station"	0.0482956
monument	0.0482453
archive	0.0481715
armory	0.0479714
circuses	0.0479564
pyramid	0.0479311
"pumping station"	0.0479264
Monastery	0.0478161
beach	0.0476232
"day care center"	0.0476103
"Disney World"	0.047541
"hardware store"	0.0475139
salon	0.0474218
"tennis court"	0.0474198
"power plant"	0.0474012
"coral reef"	0.0473027
Dome	0.0472761
mill	0.0471721
refinery	0.047139
sawmill	0.0470683
dormitory	0.047021
"pizza parlor"	0.0470091
"display case"	0.0469553
"Smithsonian Institution"	0.0467562
"cable car"	0.0467416
fountain	0.0467058
"holiday resort"	0.0466983
cave	0.0466588
"psychiatric hospital"	0.0466159
megaplex	0.0464746
saloon	0.0463823
"ice rink"	0.0463241
"recording studio"	0.0462451
freezer	0.0462374
campgrounds	0.0461256
"Hall of Fame"	0.0460998
eateries	0.0460489
Villa	0.0460363
refrigerator	0.0459729
))
(Aquarius (desc 1353.84) (sims
Monicagate	0.0734699
emulator	0.0582851
"Mountain Dew"	0.0532858
Sprite	0.0531432
"Arnold Communications"	0.0511336
"root beer"	0.0491883
"Windows NT"	0.0479465
knucklehead	0.0478467
"frozen foods"	0.0475768
Wagnerian	0.0459325
improv	0.0453542
"lower class"	0.0453012
"Mather Worldwide"	0.0431699
filtering	0.0431529
confectionery	0.0421481
emulation	0.0419417
"free love"	0.0419002
"baked goods"	0.0418747
"BBDO New York"	0.0418034
"Office @@@@"	0.0414435
"pinto bean"	0.0406627
enumeration	0.0405788
RealPlayer	0.0402869
))
(aquatics (desc 1852.69) (sims
aquaculture	0.165028
"animal husbandry"	0.150427
silkworm	0.147478
"cashew nut"	0.136001
petrochemical	0.134213
husbandry	0.133147
"sea food"	0.130477
poultry	0.127809
forestry	0.117267
ethylene	0.116834
"dairy product"	0.115912
"pig iron"	0.103811
bioengineering	0.103736
"frozen food"	0.103542
fishery	0.101662
"animal product"	0.100451
"building material"	0.100052
TCM	0.0981144
"palm oil"	0.0981091
horticulture	0.097197
export-oriented	0.0971901
Livestock	0.0962393
"cane sugar"	0.0945618
"Lincoln Center Theater"	0.0941289
foodstuff	0.0921375
metallurgy	0.0917956
breeding	0.0912756
OD	0.089116
shipbuilding	0.0874737
cocoa	0.0873391
aquiculture	0.0871161
jute	0.0869827
state-run	0.0865028
"food grain"	0.0833503
petroleum	0.0832239
oilseed	0.0832223
"domestic animal"	0.082707
"chemical industry"	0.0816771
"electric power"	0.0814072
phosphate	0.0810278
"machine tool"	0.0794067
sugarcane	0.079367
"soya bean"	0.0792816
CFCs	0.0789871
"fresh fish"	0.0784857
"nuclear energy"	0.077575
"iron ore"	0.0774649
"fish meal"	0.0760057
daycare	0.0759756
eel	0.0741937
dairy	0.0741319
"freshwater fish"	0.0736702
condensate	0.0734072
"black tea"	0.0732817
aeronautics	0.0732318
"rare earth"	0.0730993
"synthetic fiber"	0.0728096
fodder	0.072527
timber	0.0719218
IC	0.0710822
"Hello Kitty"	0.070946
biomass	0.0704024
newsprint	0.0703266
beverage	0.0701206
legume	0.070069
urea	0.0699722
machine-building	0.0696506
rapeseed	0.0685133
"adult education"	0.0682274
"polyvinyl chloride"	0.0682146
conservancy	0.0681499
warehousing	0.068061
"life science"	0.0678799
agronomy	0.0677484
prawn	0.0677112
CPO	0.067621
"steel plate"	0.0672223
mineral	0.0671212
ceramic	0.0669811
seafood	0.0667622
tannery	0.0666352
by-product	0.0665459
cereal	0.0660323
Microelectronics	0.0657941
"consumer electronics"	0.0655516
handicraft	0.0652573
"raw material"	0.0651841
incineration	0.0651184
"World Vision"	0.0651183
"consumer goods"	0.0650925
"household appliance"	0.0648136
telemedicine	0.064697
"oil palm"	0.0645953
"roller skating"	0.0641423
"caustic soda"	0.0639845
ibis	0.0639449
confectionery	0.0637972
"wind power"	0.0635875
"citrus fruit"	0.0635569
archery	0.0630111
oncology	0.0629731
LNG	0.0629112
Motorsports	0.0628937
"home appliance"	0.0625197
fungus	0.062047
weight-loss	0.0618939
starch	0.0618756
tritium	0.0616218
refining	0.0614564
"Public Theater"	0.0614228
"lubricating oil"	0.061376
POTASH	0.0611376
mutton	0.0607723
weightlifting	0.0603671
semiconductor	0.060158
paddy	0.0599057
"sugar cane"	0.0597098
"interior decoration"	0.0595473
biotechnology	0.0594443
aluminium	0.0591074
"specialty chemical"	0.0590001
cashew	0.0589635
"citric acid"	0.0586198
billiards	0.0583824
"Roundabout Theater Company"	0.0582985
nuclear-weapons	0.0577193
counterterrorism	0.0576959
detoxification	0.0575547
coconut	0.0575372
"physical education"	0.0569989
"opium poppy"	0.0569966
"R&AMP;D"	0.0568188
childcare	0.0562173
"table tennis"	0.0559993
gemstone	0.0559377
polyethylene	0.0558819
"alcoholic beverage"	0.0555971
cassava	0.0553732
"skim milk"	0.0551821
knitwear	0.0550114
methanol	0.054922
"Environmental Protection"	0.054874
genomics	0.0546594
"electrical power"	0.0546397
bodybuilding	0.0542628
"Royal National Theater"	0.0542009
ginseng	0.0541737
"integrated circuit"	0.0540903
"garbage disposal"	0.0538914
Wellness	0.0538593
"earth science"	0.0537076
tapioca	0.0536378
EA	0.0533542
"water sport"	0.0531076
sorghum	0.0527071
"veterinary medicine"	0.0526675
hosiery	0.0526568
geriatrics	0.0524412
hydropower	0.0524321
"passenger car"	0.0523971
"canned food"	0.0523771
pulp	0.0520775
"soybean oil"	0.0520247
"low quality"	0.051919
"vocational training"	0.0518015
"California wine"	0.0517265
"human waste"	0.0517235
"frozen foods"	0.0517219
biogas	0.0516614
carpentry	0.0516396
"City Opera"	0.051604
judo	0.0515259
"Weight Watchers"	0.0513994
agro-techniques	0.0512702
biotech	0.0511824
multibillion	0.0511414
shellfish	0.0508491
fibre	0.0506488
citrus	0.050578
ostrich	0.0503779
"Publishers Clearing House"	0.050102
robotics	0.0500334
"health food"	0.0500229
forwarding	0.0500091
"snack food"	0.0499679
"fire control"	0.0499421
"atomic energy"	0.0498179
"solar energy"	0.049702
hydrocarbon	0.0496783
Wushu	0.0493301
reforestation	0.0492033
rattan	0.0491311
VCD	0.0491212
"Office @@"	0.0489178
radiology	0.048917
Gypsum	0.0488394
sisal	0.0486145
Immunology	0.0485189
"consumer product"	0.0482882
"mineral resource"	0.0482092
))
(Aqueduct (desc 5151.98) (sims
"Churchill Downs"	0.145716
"Santa Anita"	0.145642
Pimlico	0.134209
"Del Mar"	0.133423
Saratoga	0.131219
"Hollywood Park"	0.122426
"Belmont Park"	0.118739
Gulfstream	0.117868
Keeneland	0.11721
"Oak Tree"	0.0961106
"Monmouth Park"	0.0956841
Calder	0.0946267
"Gulfstream Park"	0.0937185
"Fair Grounds"	0.088038
NHIS	0.0879551
Irwindale	0.0800655
"Suffolk Downs"	0.0776222
"Lone Star Park"	0.073461
Pir	0.0726624
"quarter horse"	0.0724714
"pumping station"	0.0719463
Talladega	0.0713343
"Texas Motor Speedway"	0.0682353
culvert	0.0675171
"Jack Kent Cooke Stadium"	0.0664342
Monmouth	0.06643
levee	0.0658325
"Oaklawn Park"	0.0657324
Daytona	0.0639979
Pocono	0.063724
"Atlanta Motor Speedway"	0.0625663
Belmont	0.0608365
Suzuka	0.0592962
"Daytona International Speedway"	0.0586059
"Sears Point"	0.0586046
Bathhouse	0.0585742
"New Hampshire International Speedway"	0.0583235
"Park City"	0.0565405
"Nagano Winter Olympics"	0.0564322
Spillway	0.0559327
Darlington	0.0557926
"water plant"	0.0556009
"California Speedway"	0.0555242
Suffolk	0.0550315
TM	0.0542907
"Pikes Peak"	0.0535409
Brickyard	0.053466
Meadowlands	0.0531728
"pedestrian bridge"	0.0524787
"Indianapolis Motor Speedway"	0.0520536
"U.N. Headquarters"	0.0517815
"MCI Center"	0.0517677
"Michigan Speedway"	0.0512404
"sewer system"	0.0508335
speedway	0.0504786
IMS	0.0498532
amphitheater	0.0495815
Canal	0.0492102
cistern	0.0491225
Schenectady	0.0486291
racetrack	0.0486165
"Bay Hill"	0.0479022
"railway station"	0.0470166
Indy	0.0469477
Travers	0.0467069
Silverstone	0.0463477
"Polo Grounds"	0.0462259
"oil pipeline"	0.0461458
Palazzo	0.0459721
dike	0.0459541
frontlines	0.0454653
sarcophagus	0.045257
trestle	0.0450344
"driving range"	0.0447366
Loudon	0.0444436
"resort hotel"	0.043995
Colosseum	0.0434741
"Metropolitan Opera House"	0.0429982
superspeedway	0.0425835
"Jewish Museum"	0.0424999
"Las Vegas Motor Speedway"	0.0422422
"Millrose Games"	0.0422042
"ball field"	0.0420782
"Ritz-Carlton Hotel"	0.041839
"Nagano Olympics"	0.0418388
embankment	0.0416087
"conference center"	0.0414462
"Special Economic Zones"	0.0413342
Imola	0.0411521
Rockingham	0.0408791
"Charlotte Motor Speedway"	0.040705
"fire station"	0.0404179
))
(aquiculture (desc 1213.68) (sims
aquaculture	0.236543
"animal husbandry"	0.186094
forestry	0.115964
"mineral resource"	0.101839
conservancy	0.0996079
"building material"	0.0874
aquatics	0.0871161
"chemical industry"	0.0865108
petrochemical	0.0821465
"life science"	0.0802491
"veterinary medicine"	0.0796715
metallurgy	0.0782021
husbandry	0.0780315
agronomy	0.0765408
"chain store"	0.0742811
hydropower	0.0742141
"specialty chemical"	0.0734304
horticulture	0.0729807
Microelectronics	0.0718563
"environmental condition"	0.0711889
"oil palm"	0.0697101
biotechnology	0.0697098
"wind power"	0.0692185
"electronics industry"	0.069057
ecotourism	0.0681109
Godot	0.0675345
shipbuilding	0.0667104
"nuclear energy"	0.0653613
joint-ventures	0.0649327
ballast	0.0634622
"consumer credit"	0.0626318
"consumer goods"	0.0623397
"human activity"	0.0607647
"intellectual property rights"	0.059254
"sales outlet"	0.0591379
"five key"	0.0591238
"elementary education"	0.0586733
"beef cattle"	0.0582165
CFCs	0.057657
confectionery	0.0574091
"credit system"	0.05735
seedling	0.0572315
newsprint	0.0570428
Telecoms	0.0570318
"California wine"	0.0568351
"interior decoration"	0.0567143
"consumer product"	0.0565511
reclamation	0.0564259
export-oriented	0.0562028
"sugar cane"	0.0553596
"rare earth"	0.0549155
boating	0.0548989
"treading water"	0.0546105
"dairy product"	0.0544984
"water project"	0.0539349
bioengineering	0.0538697
sub-projects	0.053707
POTASH	0.0529812
"insurance market"	0.0526614
Sino-Russian	0.0524807
"thermonuclear warhead"	0.0523222
"frozen food"	0.0521538
urbanization	0.0521273
"machine tool"	0.0520324
"debt market"	0.0518722
"home appliance"	0.0517702
deforestation	0.0515098
siltation	0.0514319
"Suzhou Industrial Park"	0.0512119
CDMA	0.0507367
"National Missile Defense"	0.0504606
"tea house"	0.050221
refining	0.0501675
reinsurance	0.0501306
"co- operation"	0.050032
biogas	0.0499608
ranching	0.0499541
warehousing	0.0497853
"soil erosion"	0.0497444
"particle accelerator"	0.0493052
gemstone	0.0489803
"health food"	0.0489336
"passenger car"	0.0488913
"public works"	0.0488444
"road construction"	0.0488172
jute	0.0485654
leasing	0.0480798
"golf equipment"	0.0478901
smallholder	0.0478889
"three schools"	0.0477631
REIT	0.0477458
"labor resource"	0.047578
T-cells	0.04757
"rare bird"	0.0475121
"cashew nut"	0.0474291
refrigeration	0.0472547
Zhongguancun	0.047143
Sakhalin	0.0471242
hairdressing	0.0469511
"air-to-air missile"	0.0468742
macro-economy	0.046735
hatchery	0.0467179
atherosclerosis	0.0465715
"transportation system"	0.0465613
"Special Economic Zones"	0.0463481
"diesel engine"	0.0462435
ingot	0.0461118
"dry cleaning"	0.0461054
Eco-tourism	0.0460873
"caustic soda"	0.0458951
Lumbini	0.0456234
"integrated circuit"	0.0453902
rearing	0.0451204
salinity	0.0440389
videogame	0.0440239
swine	0.0438049
automation	0.043701
methane	0.0435505
sensitization	0.0434433
"communications technology"	0.0434012
cross-Straits	0.0433985
smokestack	0.0428685
"Qaidam Basin"	0.0427802
"Yangtze River Delta"	0.0426328
"aircraft engine"	0.0425255
"parcel of land"	0.0423443
"extension service"	0.0422834
"observation post"	0.0420474
Cyberjaya	0.0420052
"opium poppy"	0.0418399
"insurance business"	0.0418316
"soccer ball"	0.0416526
sounder	0.0415578
"plate glass"	0.0415577
vending	0.0415495
agribusiness	0.0413023
"minke whale"	0.0411989
abattoir	0.0411869
TMD	0.0410246
nosebleed	0.0408508
servicing	0.0407859
IPR	0.0407005
"pig iron"	0.040637
"secondary education"	0.040602
"software system"	0.0405856
manhole	0.0405402
"shipbuilding industry"	0.0402508
generics	0.0401964
"virgin forest"	0.0401898
"Loess Plateau"	0.0401788
multibillion	0.040102
eyewear	0.0400883
))
(aquifer (desc 5614.76) (sims
groundwater	0.232795
"ground water"	0.188731
reservoir	0.182479
"water table"	0.135025
lake	0.119792
Marsh	0.104989
wetlands	0.103342
waterway	0.102651
"water supply"	0.101594
estuary	0.100686
Canal	0.0960823
Everglades	0.0911535
pond	0.0874805
"pumping station"	0.0857531
"Yellow River"	0.0823801
"body of water"	0.0818042
cistern	0.0802955
tributary	0.0794961
"Colorado River"	0.079318
basin	0.078894
Creek	0.0784176
"Taihu Lake"	0.0773529
Danube	0.0761888
dam	0.0757672
watershed	0.0741902
"Dongting Lake"	0.071719
ocean	0.070565
swamp	0.0680472
lagoon	0.0674907
cavern	0.066277
ecosystem	0.0650833
"Dianchi Lake"	0.0643447
"Strategic Petroleum Reserve"	0.0641193
"Huaihe River"	0.0614291
"gas line"	0.0611477
Wetland	0.0607312
grassland	0.0602114
Yangtze	0.059595
bog	0.0594545
bloodstream	0.0592992
"Lake Victoria"	0.0591397
Mekong	0.0585437
Ganges	0.058168
"water system"	0.0577358
"coral reef"	0.0572286
farmland	0.0571973
"river basin"	0.0565602
"Yangtze River"	0.0563562
"drinking water"	0.0563005
mangrove	0.0559146
Springs	0.0557895
"garbage dump"	0.0551337
"water tank"	0.0549223
culvert	0.0548865
quarry	0.0546197
"well water"	0.0543324
habitat	0.0541825
"natural resource"	0.0539303
bio-diversity	0.053086
"water tower"	0.052956
shoreline	0.0526364
"water plant"	0.0524546
rainforests	0.0522959
irrigation	0.0517348
"Lake Okeechobee"	0.0515747
"spring water"	0.0507293
"drainage system"	0.0505954
"Great Lakes"	0.0505825
ecology	0.0500096
electrolyte	0.0499146
"gas well"	0.0498485
"Songhua River"	0.0495527
coffer	0.0490489
"transportation system"	0.0485324
fishery	0.0477165
coastline	0.0476681
faucet	0.0476013
"hot spring"	0.0475523
"reserve fund"	0.0470639
"trust fund"	0.0469863
levee	0.0469037
"Mekong River"	0.0464806
lowland	0.0462194
drainage	0.0460656
sewer	0.0459481
marshland	0.0459012
canyon	0.0458505
viaduct	0.0457317
afforestation	0.0454576
scenery	0.0452773
"labor pool"	0.0450994
"burial site"	0.0448715
seabed	0.044724
oases	0.0445108
"tropical rain forest"	0.044484
"Nile River"	0.0444734
wildlife	0.0444462
"elephant population"	0.0444129
storehouse	0.0440998
"swimming pool"	0.043883
caseload	0.043829
radioactivity	0.0434827
"blood sugar"	0.0434467
Nile	0.0433212
reserves	0.0431278
woodland	0.0429229
riverbed	0.0428886
smelter	0.0426962
"building site"	0.0426896
"water project"	0.0424721
"storage tank"	0.042217
"electrical power"	0.0421597
Crypt	0.0420376
dune	0.0419059
gorge	0.0418321
"highway system"	0.0417318
waterfall	0.041576
"population density"	0.0415119
Huaihe	0.0414766
"power station"	0.0414748
non-Social	0.0414533
Chattahoochee	0.0413947
dyke	0.0411256
magma	0.0410741
moat	0.0406353
meadow	0.0405571
hemoglobin	0.0405243
"fantasy world"	0.0404323
"Black Sea"	0.0403359
gully	0.0401921
geyser	0.0401699
"rain forest"	0.0401311
))
(Aquino (desc 1946.12) (sims
Moxley	0.142239
Bellush	0.129571
Aleman	0.122845
Moscoso	0.121739
Arbour	0.119965
Whaley	0.118871
Lawler	0.116659
Guerin	0.116428
Hani	0.115511
Kumaratunga	0.113457
Fordice	0.110362
Bhutto	0.109999
Rabin	0.108605
Meissner	0.108483
Stoyanov	0.107149
Machel	0.106784
Hasina	0.10658
Starovoitova	0.106512
Rawabdeh	0.106031
Samper	0.106024
Dahmer	0.104992
"Carlos Salinas"	0.104741
Allende	0.103947
Dinkins	0.103619
Loeb	0.103586
Masire	0.103058
Greenwald	0.102069
Gowda	0.101321
McKinley	0.10087
Chissano	0.100418
Zia	0.10018
Menem	0.0991084
Fink	0.0988695
Rakhmonov	0.0980926
Sharma	0.0980062
"Franjo Tudjman"	0.0974569
Banharn	0.0968327
Ramos	0.0967751
Ogata	0.0967064
Abubakar	0.0962855
Ashrawi	0.0962776
Hallinan	0.0949089
Goldwater	0.0948872
Soto	0.094815
Markovic	0.094613
Shevardnadze	0.0942492
Azad	0.0940872
Neulander	0.0939092
Sund	0.093482
krueger	0.0932241
Kagalovsky	0.0930816
Mathews	0.0926646
Diouf	0.0925388
Klestil	0.0924499
Eisenhower	0.0923623
Stahl	0.0923115
Quintana	0.092015
Harding	0.0918657
"Orlando Mercado"	0.0918176
Fino	0.091661
Rabbani	0.0910498
Bizimungu	0.0909805
Klima	0.0908664
Shriver	0.0904831
Simons	0.0901863
Ziegler	0.0898014
Byrne	0.0896859
"Martti Ahtisaari"	0.0893373
Greco	0.0892789
Hamlin	0.0892578
Ribbeck	0.0892052
Hashimoto	0.0888919
Curley	0.088695
Estrada	0.08855
Chuan	0.0885357
Nujoma	0.0881944
Mott	0.0880349
Nasrallah	0.0877888
Cardoso	0.0876805
Hiddink	0.0875439
Bouteflika	0.0874227
McCartney	0.0872778
Marcos	0.0872326
Grasso	0.0869338
"Deve Gowda"	0.0868461
"Jacques Chirac"	0.0866919
Klerk	0.086642
Obasanjo	0.0863833
Chaudhry	0.0856556
Mkapa	0.085644
Flores	0.0852565
Mitterrand	0.0851841
Chavalit	0.0848413
Hersh	0.0847556
Chenoweth	0.0846013
Sheehan	0.0840315
"Joao Havelange"	0.0839611
Kuchma	0.0836551
Muluzi	0.0836203
Rosenberg	0.083515
Santer	0.0835061
Grimes	0.0834447
"Wlodzimierz Cimoszewicz"	0.083312
Luong	0.0832735
Sandinista	0.0832687
"Fernando Henrique Cardoso"	0.0831986
Roosevelt	0.0831392
Cline	0.0830025
Bulatovic	0.0827538
Malu	0.0823065
Karimov	0.082115
Rua	0.0819755
Brittan	0.0819481
"Ernesto Zedillo"	0.081821
"B.J Habibie"	0.0817803
Kasoulides	0.0817643
Yadav	0.0816418
Middleton	0.0812723
Lalas	0.0811599
"Chief Executive Tung Chee-hwa"	0.081104
Shepard	0.0810713
Scalfaro	0.0809947
Narayanan	0.0807258
Sumaye	0.0807012
Mbeki	0.0805507
Mendez	0.080484
Lau	0.0803779
Rafsanjani	0.0803095
Ono	0.0802497
Sharif	0.0802193
"Pascoal Mocumbi"	0.0800659
Buyoya	0.0800133
"Laurent Kabila"	0.079864
Duvalier	0.0797526
Kraus	0.0797516
Bates	0.0796374
Shipley	0.0795237
Bolger	0.0793212
Hartman	0.079262
"Michel Camdessus"	0.0789958
Orban	0.0789115
Rosario	0.0788843
Chu	0.078854
"Ruiz Massieu"	0.0788251
"Ricardo Alarcon"	0.0788204
Ruggiero	0.0788005
Tudjman	0.0785959
Ikimi	0.0784048
"I.K Gujral"	0.078058
Webdale	0.0779786
Leghari	0.0779512
Boles	0.0778074
Villanueva	0.0776647
Madden	0.0774405
"Martin Luther King III"	0.077329
Kharrazi	0.0772544
Guterres	0.0771568
Ershad	0.0771549
Mugabe	0.0771186
"Olusegun Obasanjo"	0.0769758
"Jacques Santer"	0.0769572
Zedillo	0.0768055
"Chavalit Yongchaiyudh"	0.0766273
Baez	0.0764071
Snead	0.0763298
Butterworth	0.0762812
Copeland	0.0762119
Chiluba	0.0759549
Deutsch	0.0758152
Rothschild	0.0757924
Museveni	0.0755614
Akayev	0.0755391
Meng	0.0754828
"Frank Joklik"	0.0754717
Camdessus	0.0754573
Sampaio	0.075433
Lukashenko	0.0753587
Benton	0.0753019
Mowlam	0.0752116
Frei	0.0750608
Meles	0.0750382
Clerides	0.0748193
"Girija Prasad Koirala"	0.0747614
Mahuad	0.0746635
Insulza	0.0744447
Gerardi	0.0744127
"Gro Harlem Brundtland"	0.0743974
Bruton	0.0743964
Hrawi	0.0743817
Juma	0.0743708
"Sepp Blatter"	0.0742415
Lambert	0.0740991
Slatkin	0.0740392
Cao	0.0740268
Taft	0.0740187
O'Hair	0.0739659
FAWCETT	0.0738963
Obuchi	0.0738719
Gorbachev	0.0738358
Winchell	0.073749
))
(ar (desc 1274.2) (sims
Polgar	0.0410922
))
(Arab (desc 65680.5) (sims
Palestinian	0.212847
Muslim	0.16086
Israeli	0.147866
Jew	0.138743
christian	0.130692
Syrian	0.129128
Albanian	0.127075
settler	0.121771
Chinese	0.119555
Catholic	0.118257
African	0.117678
Serbs	0.116381
Iranian	0.113874
Jordanian	0.113557
Syria	0.113025
Egyptian	0.111053
Lebanese	0.110266
"Latin American"	0.11003
Israel	0.108113
European	0.107909
Kurds	0.10624
minority	0.105236
Asian	0.104753
Turk	0.104225
citizen	0.10364
foreigner	0.10309
community	0.103022
Russian	0.102861
"South African"	0.100316
American	0.100248
Iraqi	0.0999934
country	0.0987276
people	0.0984616
nation	0.0974076
immigrant	0.0953734
resident	0.0951254
Mexican	0.0950567
"Palestinian National Authority"	0.0948743
"Central American"	0.0942853
"Puerto Rican"	0.0940191
government	0.0939002
U.S.	0.0931257
neighbor	0.0926264
"Arab League"	0.0925685
Kuwaiti	0.0905339
PNA	0.090525
Pakistani	0.0894151
Greek	0.0892852
EU	0.0888729
Moslem	0.0879789
U.N.	0.087886
"Middle Eastern"	0.0877771
civilian	0.087772
Indonesian	0.0877421
Filipino	0.0875115
Iran	0.0874329
state	0.0874154
Nigerian	0.0869356
Turkish	0.0867344
ally	0.0864501
guerrilla	0.0859941
Iraq	0.085789
member	0.0857204
Somali	0.0856006
"African country"	0.0848763
black	0.0848254
militant	0.0846216
voter	0.0841455
businessmen	0.0840153
Afghan	0.0838128
"business community"	0.0837836
Sudanese	0.0834745
refugee	0.0834597
"Palestinian Authority"	0.0826652
"Israeli Arabs"	0.0826382
Palestine	0.0821786
Indian	0.0821538
farmer	0.0818382
Islamic	0.0817146
Kurdish	0.0816936
"European Union"	0.0816463
"South Asian"	0.0815635
Irish	0.0815491
rebel	0.0810092
Japanese	0.0809391
faction	0.0806312
GCC	0.0806015
leader	0.0804358
NATO	0.0800979
lawmaker	0.0800292
national	0.0799179
consumer	0.0797766
"North African"	0.0797752
Saudi	0.0796577
Protestant	0.0796065
environmentalist	0.0795674
villager	0.0795021
"Kosovo Albanians"	0.0794085
Croats	0.0793138
British	0.0791652
"European country"	0.0789844
investor	0.0789042
Hindu	0.078765
"United States"	0.0787489
German	0.078427
party	0.0783876
conservative	0.0783816
"United Nations"	0.0782965
opposition	0.0781009
Cuban	0.0779981
student	0.0777662
nationalist	0.0777419
Lebanon	0.0775897
group	0.0775008
Kenyan	0.077445
"political party"	0.0771408
local	0.077107
Egypt	0.0770769
French	0.0770713
Kosovars	0.0769899
unionist	0.0769832
Ethiopian	0.0769056
Chechens	0.0765492
"ethnic group"	0.0765276
Democrat	0.0765272
Pakistan	0.0765039
"Middle East"	0.0764842
"European nation"	0.0762467
China	0.0761358
tourist	0.0760893
Slavic	0.0760727
Cambodian	0.0760567
ASEAN	0.0760163
Vietnamese	0.0759902
public	0.0758464
Republican	0.0757651
Turkey	0.0756871
worker	0.0756633
Algerian	0.0756161
"Saudi Arabian"	0.0755239
"Roman Catholic"	0.0754327
official	0.0751904
terrorist	0.0750916
peasant	0.0750891
woman	0.0749558
UAE	0.07465
Tibetans	0.0746495
Greeks	0.0745421
diplomat	0.0744826
"native American"	0.0744141
"American Indian"	0.0742378
Armenians	0.0737485
"council member"	0.0737336
Russia	0.0736945
extremist	0.0735732
tribe	0.0735696
Gay	0.0732742
Hispanic	0.0732565
Latino	0.0730908
soldier	0.0728099
"East Timorese"	0.0726364
Malaysian	0.0722332
activist	0.0721268
"Gulf Cooperation Council"	0.0719204
union	0.0719173
Sikh	0.0718914
Colombian	0.0716941
legislator	0.0716309
force	0.071613
prisoner	0.0715714
"Asian country"	0.071485
"Kosovar Albanians"	0.0713842
youth	0.0708129
Arafat	0.0708048
protester	0.0707242
Ugandan	0.0707125
military	0.0707017
individual	0.0704803
organization	0.0704328
politician	0.0703097
inhabitant	0.0702588
"international organization"	0.070153
us	0.0700465
Hamas	0.069987
Kuwait	0.0699279
Cyprus	0.06986
Taliban	0.0697546
donor	0.0697231
"labor union"	0.0696816
Bangladeshi	0.0696786
"union member"	0.069641
"Sierra Leonean"	0.0696032
family	0.0693491
follower	0.0692417
G-@	0.0690488
Buddhist	0.068966
African-American	0.0687361
Bulgarian	0.0686352
Georgian	0.0686036
Tanzanian	0.0685511
))
("Arab East Jerusalem" (desc 5725.6) (sims
"East Jerusalem"	0.336778
JERUSALEM	0.14667
"Golan Heights"	0.134996
"Har Homa"	0.128626
"Jordan Valley"	0.121331
"West Bank"	0.120108
"Holy City"	0.118988
Golan	0.117197
"Syrian Golan Heights"	0.108586
"Kuril Islands"	0.106987
"Old City"	0.102508
"Sinai Peninsula"	0.0962145
"Diaoyu Islands"	0.0840134
"Bakassi Peninsula"	0.0799459
Hebron	0.0799385
"Abu Dis"	0.0771752
"Gaza Strip"	0.0752682
"Falkland Islands"	0.0747454
"Jabal Abu Ghneim"	0.0703364
Badme	0.0690841
Judea	0.0625923
"South Lebanon"	0.0564636
"Abu Musa"	0.0561951
plateau	0.0515188
"Myanmar Embassy"	0.0487665
Gaza	0.0487438
Matadi	0.0457577
Malvinas	0.0450205
Galilee	0.044965
Bethlehem	0.0445567
hilltop	0.0442587
pullbacks	0.0431473
Gibraltar	0.043133
Taloqan	0.0430624
Pudong	0.0428653
Sinai	0.0424978
Suva	0.0422513
"Northern Territory"	0.0416138
Mankulam	0.0408924
"Battery Park City"	0.0408217
Gudermes	0.0406415
Bakassi	0.0402985
"five spot"	0.0400467
))
("Arab League" (desc 17830.7) (sims
OAU	0.20029
OIC	0.188157
"United Nations Security Council"	0.18521
GCC	0.183783
"Organization of African Unity"	0.180847
"Gulf Cooperation Council"	0.177131
"Organization of American States"	0.176493
"U.N. Security Council"	0.176228
U.N.	0.172348
OSCE	0.169566
"Southern African Development Community"	0.169075
"United Nations"	0.166114
"Kofi Annan"	0.15798
UN	0.157418
OAS	0.154379
"Organization of Islamic Conference"	0.153907
"Non-Aligned Movement"	0.152559
"European Commission"	0.15219
"Council of Europe"	0.151511
"Security Council"	0.148522
"UN Security Council"	0.146974
IPU	0.146603
OECD	0.1462
"Contact Group"	0.145736
SADC	0.145576
"Russian Foreign Ministry"	0.143607
"U.S. State Department"	0.1421
"Secretary General Esmat Abdel-Meguid"	0.14104
"Association of Southeast Asian Nations"	0.140798
"Turkish Foreign Ministry"	0.140024
"European Union"	0.139988
ECOWAS	0.137731
"Economic Commission for Africa"	0.135618
"Jordanian King Abdullah Bin Hussein"	0.131788
"Foreign Ministry"	0.131697
"Arab Parliamentary Union"	0.131588
"Iranian Foreign Ministry"	0.131419
UNCTAD	0.131309
"Palestinian National Authority"	0.129425
"International Olympic Committee"	0.128577
FIFA	0.127477
"North Atlantic Treaty Organization"	0.127038
commonwealth	0.127002
G-@	0.12686
IGAD	0.126766
"Rio Group"	0.126641
"Organization of Petroleum Exporting Countries"	0.126475
"Organization for Economic Cooperation and Development"	0.125666
EU	0.124658
"William Cohen"	0.12368
Annan	0.123
"International Monetary Fund"	0.122878
"Economic Community of West African States"	0.122289
Council	0.121714
ESCAP	0.121465
"Economic Cooperation Organization"	0.121126
SAARC	0.120912
WEU	0.120343
eco	0.120255
Moi	0.120236
"European Parliament"	0.119299
"Common Market for Eastern and Southern Africa"	0.118844
OPEC	0.1186
"Damascus Declaration"	0.118033
Mubarak	0.118022
"World Bank"	0.117344
"Secretary General"	0.117111
"European Council"	0.114934
"Lionel Jospin"	0.114758
"Atef Obeid"	0.114294
"Rafik Hariri"	0.114208
COMESA	0.114006
ICRC	0.113681
UNESCO	0.113556
"International Red Cross"	0.113481
"Javier Solana"	0.113073
"Western European Union"	0.112933
Arafat	0.112827
"Israeli Cabinet"	0.112805
"Economic Community"	0.112779
Aziz	0.112509
"foreign minister"	0.11243
"Secretary General Esmat Abdul-Meguid"	0.111413
"Palestine Liberation Organization"	0.111339
"Organization for Security and Cooperation in Europe"	0.111022
"South Pacific Forum"	0.110759
"Tony Blair"	0.110548
"Salim Hoss"	0.109619
"Amnesty International"	0.10881
"PLO Executive Committee"	0.108597
ASEAN	0.108455
"Group of @@"	0.107315
"Organisation of African Unity"	0.106734
Interpol	0.106569
NATO	0.106295
Vatican	0.106281
"Commission on Human Rights"	0.106242
"Benjamin Netanyahu"	0.106051
"Inter-Governmental Authority on Development"	0.105956
"Council of Ministers"	0.105921
FAO	0.105885
Secretary-General	0.105611
"Esmat Abdel Meguid"	0.105255
"French Foreign Ministry"	0.105088
el-Ganzouri	0.104711
Abdel-Meguid	0.104661
"Abdul Karim Kabariti"	0.104198
"Binyamin Netanyahu"	0.104197
Chirac	0.104034
G-@@	0.103945
UEFA	0.10345
"United Nations Conference on Trade and Development"	0.103332
"Israeli Foreign Ministry"	0.103284
"Islamic Conference"	0.103242
"World Health Organization"	0.103181
ILO	0.102799
UNIDO	0.102709
"Group of Rio"	0.10251
"Palestinian Council"	0.102394
Denktash	0.102308
federation	0.102223
IMF	0.102203
"Inter-Parliamentary Union"	0.102079
NSC	0.101903
EC	0.101614
"general assembly"	0.101607
U.N	0.101588
"Group of Eight"	0.101373
"Caribbean Community"	0.10122
"EU Commission"	0.101115
UUP	0.101081
"trade union"	0.100964
"United Nations Children's Fund"	0.100868
"Secretary-General Boutros Boutros-Ghali"	0.100841
"Economic and Social Council"	0.100507
"Defense Agency"	0.100308
"Jean Chretien"	0.0999724
APEC	0.0999653
EAC	0.0999149
"African National Congress"	0.0998195
"King Norodom Sihanouk"	0.0998079
"Meles Zenawi"	0.0993349
ministry	0.0993069
"John Howard"	0.0991965
Egypt	0.0989499
"Atal Bihari Vajpayee"	0.0983812
"international organization"	0.0980056
"Costas Simitis"	0.0978179
"International Labor Organization"	0.0977203
organization	0.0977191
al-Sharaa	0.0976395
"International Committee"	0.0974819
"finance minister"	0.0973941
"Interior Ministry"	0.0966447
"council member"	0.0966435
"secretary of state"	0.0965884
IAEA	0.096192
Duma	0.0956984
"Salim Ahmed Salim"	0.0954162
al-Sahhaf	0.0951277
Libya	0.095027
Khamenei	0.0946486
NAM	0.0945861
al-Khatib	0.0945714
"Ehud Barak"	0.0945009
"Central Committee"	0.0942541
"China Youth Development Foundation"	0.0941253
"South Asian Association for Regional Cooperation"	0.0937835
ECA	0.093401
"Commonwealth Ministerial Action Group"	0.0932646
"World Trade Organization"	0.0930893
"high commissioner"	0.093043
"Finance Ministry"	0.0928187
Arab	0.0925685
"Chuan Leekpai"	0.0923905
"Yevgeny Primakov"	0.0923462
UNICEF	0.0922434
"Executive Committee"	0.0922192
"World Tourism Organization"	0.0921254
"Socialist Party"	0.0920574
"Jordanian King Hussein"	0.0920362
"Keizo Obuchi"	0.0919109
"Bulent Ecevit"	0.0918894
"Pope John Paul II"	0.0918683
Ci	0.0918607
"Atal Behari Vajpayee"	0.0914097
"Olympic Council of Asia"	0.091334
ADB	0.0912623
Mandela	0.0910418
"International Amateur Athletic Federation"	0.0909765
"State Department"	0.0909085
al	0.0907235
committee	0.0906636
"Sheikh Hasina"	0.0905147
PNA	0.0904397
"United Nations Conference"	0.0902222
"African Unity"	0.0900217
"Jose Maria Aznar"	0.0899878
"Bertie Ahern"	0.0899152
"National Election Committee"	0.0898356
))
("Arab Parliamentary Union" (desc 1110.1) (sims
"Jerusalem Committee"	0.205216
"Inter-Parliamentary Union"	0.165235
"Commonwealth Ministerial Action Group"	0.164943
"South Pacific Forum"	0.164458
"Organization of Islamic Conference"	0.162853
"Joint Military Commission"	0.138305
"Palestinian Council"	0.134919
"Economic Cooperation Organization"	0.133797
"Asia Pacific Economic Cooperation"	0.133539
"United Nations Conference"	0.132717
"Arab League"	0.131588
"Palestinian Legislative Council"	0.131293
"U.N. Conference"	0.130048
"General Council"	0.129915
IGC	0.127233
"PLO Executive Committee"	0.124911
"Executive Committee"	0.123659
"Provisional Ruling Council"	0.122792
"U.N. Human Rights Commission"	0.122108
"Supreme Council"	0.120573
"World Conference"	0.119828
AMM	0.118668
"Asia-Pacific Economic Cooperation"	0.116431
"Group of @@"	0.116322
"Congress (NPC) Standing Committee"	0.115523
"Organization of Petroleum Exporting Countries"	0.115511
"Central Council"	0.114814
"Federal Council"	0.113833
"North Atlantic Council"	0.113609
"Democratic Front"	0.113173
"National Council"	0.113156
"Russian Communist Party"	0.112367
"Congress Working Committee"	0.112321
"Damascus Declaration"	0.111733
"Organisation of African Unity"	0.1111
"European Council"	0.10938
"Russian Security Council"	0.10902
"South Asian Association for Regional Cooperation"	0.108912
ARF	0.107887
"ASEAN Regional Forum"	0.106554
"Human Rights Commission"	0.105856
"International Congress"	0.105337
"President Hafez Al-Assad"	0.105264
"American Psychiatric Association"	0.103144
JLG	0.10213
"Palestine National Council"	0.101574
"Central Organ"	0.100531
"Ministerial Meeting"	0.100497
"interim committee"	0.100441
"Ministerial Conference"	0.099595
"Greek Orthodox Church"	0.0989336
"Sino-British Joint Liaison Group"	0.0989017
"National People"	0.0986881
NSC	0.0985898
JMC	0.0980601
"Mahmoud Zouebi"	0.0976083
sub-commission	0.0963748
"American Psychological Association"	0.0956939
"Inter-Governmental Authority on Development"	0.0956486
"Common Market for Eastern and Southern Africa"	0.0953014
"Secretary General Esmat Abdul-Meguid"	0.0945787
"Gaullist Rally"	0.093555
"National Executive Committee"	0.0933228
"Consultative Group"	0.0927102
"Organization of African Unity"	0.0923858
"Western European Union"	0.0922216
"Universal Postal Union"	0.0917497
"World Petroleum Congress"	0.0917187
"Eighth National Committee"	0.0913097
Khaddam	0.0912243
"Supreme Soviet"	0.0912233
"Fortune Global Forum"	0.0908351
"Non-Aligned Movement"	0.0898115
"International Society"	0.0897652
"Southern African Development Community"	0.0897306
"military commission"	0.0895106
"Caribbean Community"	0.0894838
"International Conference"	0.088883
"Asia-Europe Meeting"	0.0885976
"Joint Liaison Group"	0.0882905
"Central Committee"	0.08806
"Economic and Social Council"	0.0878412
IPU	0.0876091
"Third Session"	0.0868356
"Gulf Cooperation Council"	0.0859553
"Special Session"	0.0858902
plenum	0.0857939
"Palestinian National Council"	0.0856713
"Executive Board"	0.0852479
"Economic Community of West African States"	0.0850786
"United Nations Conference on Trade and Development"	0.0850785
"Congressional Black Caucus"	0.0849368
"Senate Armed Services Committee"	0.0840079
China-U.S.	0.083936
"popular front"	0.0833
"Ways and Means Committee"	0.0826813
"Association of Southeast Asian Nations"	0.0823203
"World Economic Forum"	0.082035
"Economic Community"	0.0819944
"World Intellectual Property Organization"	0.0812877
"executive council"	0.080881
"International Symposium"	0.0805583
"World Congress"	0.0799008
"Securities Industry Association"	0.0798585
Presidium	0.0794799
"Free Democratic Party"	0.0794753
"International Federation"	0.0794285
Abdel-Meguid	0.0789707
"National Committee"	0.0787776
"Senate Banking Committee"	0.078701
"U.N. Millennium Summit"	0.0782355
"Council of Ministers"	0.0777894
"National Security Council"	0.0776009
"Democratic Leadership Council"	0.0775327
"UN Security Council"	0.0774471
"Revolutionary Command Council"	0.077147
"National Economic Council"	0.0770596
"Great Hural"	0.076907
"Federal Open Market Committee"	0.076868
"Monetary Policy Committee"	0.0767737
"Constitutional Council"	0.0766431
"Organization for Security and Cooperation in Europe"	0.0764194
PNC	0.076222
"Esmat Abdel Meguid"	0.0759971
OIC	0.0758959
"non-governmental organizations"	0.0758853
"steering committee"	0.075714
"governing board"	0.0753086
"National Resistance Movement"	0.0746748
AEC	0.0745142
"Business Council"	0.0741837
"Board of Governors"	0.0740578
"Rio Group"	0.0740554
"National Council of La Raza"	0.0739996
"Parliamentary Assembly"	0.0736992
"Board of Supervisors"	0.0735538
"ASEAN Ministerial Meeting"	0.0731406
"American Bar Association"	0.0728698
"National Convention"	0.0725164
Russian-U.S.	0.0724171
"National Conference"	0.0721639
"Alcoholics Anonymous"	0.071848
"Joint Commission"	0.0718271
"Ninth CPPCC National Committee"	0.0718209
Sino-British	0.0712511
"South Summit"	0.0709431
MPR	0.0708058
"Fourth Session"	0.0707577
"National Party Congress"	0.0701989
"Commission on Human Rights"	0.0701086
COMESA	0.0700913
"Hong Kong Federation"	0.0700886
"Annual Meeting"	0.0697482
"European Bank for Reconstruction"	0.0697016
GCC	0.0696199
OAS	0.0694879
"Australian Olympic Committee"	0.0694701
"European Court of Human Rights"	0.0692684
ASEM	0.0692248
CWC	0.0692101
"Bank for International Settlements"	0.0689515
"Russian State Duma"	0.0688522
"Meretz Party"	0.0687583
SAARC	0.0687228
"search committee"	0.0684951
"Israeli Cabinet"	0.0679806
"International Labor Organization"	0.0679174
"Contact Group"	0.0679066
"House International Relations Committee"	0.0676467
"Consultative Assembly"	0.067451
"Senate Finance Committee"	0.0674237
"Russian Duma"	0.0672162
"Olympic Council of Asia"	0.0671964
"Senate Budget Committee"	0.0671288
taskforce	0.0670657
"Organization for Economic Cooperation and Development"	0.0670307
"House Budget Committee"	0.0666874
"American Association"	0.0665856
belligerents	0.066219
"Rules Committee"	0.0661106
"CPC Central Commission for Discipline Inspection"	0.0660536
"World Tourism Organization"	0.0660037
"Circuit Court"	0.0657299
UUP	0.0655168
"United Nations Security Council"	0.0654513
"National People's Congress"	0.0653983
"jockey club"	0.0653833
"Council of Europe"	0.0653547
"American Heart Association"	0.0653061
"World Health Assembly"	0.0651143
"Israeli Knesset"	0.0648335
"Millennium Summit"	0.064411
"Second Session"	0.064329
el-Ganzouri	0.0642551
Asia-Europe	0.0640338
"NPC Standing Committee"	0.0639998
"Organization of American States"	0.0636011
"Plenary Session"	0.0635851
"de Charette"	0.0632823
"National Republican Congressional Committee"	0.0628828
))
(Arab-American (desc 1086.62) (sims
"American Jewish"	0.21083
"Orthodox Jewish"	0.176093
"Asian American"	0.160535
"Kosovar Albanian"	0.151079
Asian-American	0.13916
Korean-American	0.138444
Abortion-rights	0.13745
Hasidic	0.135085
Coptic	0.133533
"Israeli Arab"	0.127471
nonwhite	0.119109
"Sunni Muslim"	0.118627
"Western European"	0.117942
Cuban-American	0.117923
Sunni	0.11551
Mexican-American	0.115023
non-Hispanic	0.110881
"Kosovo Albanian"	0.110329
Ijaw	0.108099
Hausa	0.105352
"African American"	0.104815
Chinese-American	0.104128
non-Indian	0.102222
Non-governmental	0.100965
Japanese-American	0.0985111
Anglo	0.0965015
Irish-American	0.0964844
"Islamic Jihad"	0.0960882
Kurdish	0.0955423
Okinawan	0.0945224
"Shiite Muslim"	0.0942549
Quaker	0.0942469
Israeli-Arab	0.0917321
"Greek Cypriot"	0.0893231
"Senate Republican"	0.0890911
"Irish Catholic"	0.0886866
"Bosnian Muslim"	0.0883138
NGO	0.0876987
over-@@	0.0856168
Armenian	0.0848358
small-business	0.0822262
Maasai	0.081989
"Aryan Nations"	0.0794258
Inuit	0.0791756
YankeeNets	0.078999
Croat	0.0777478
"Bosnian Croat"	0.0775476
"native American"	0.0763867
"Operation Lifeline Sudan"	0.0763055
Zapatista	0.0762642
Sinhala	0.0756572
Kashmiri	0.0750648
Eskimo	0.0748009
Sephardic	0.0742902
Italian-American	0.0741789
"Aum Shinrikyo"	0.0735667
"Urban League"	0.0734579
"Ku Klux Klan"	0.073062
Klan	0.0728452
Shiite	0.0727416
neo-Nazi	0.0726973
Khmer	0.0722805
"North African"	0.0717119
Mennonite	0.0716664
"Thomson CSF"	0.0715841
well-organized	0.0698194
"girl scout"	0.0695213
"Puerto Rican"	0.0694568
Banyamulenge	0.0691258
"investment banking"	0.0690484
"Turkish Cypriot"	0.0685073
Mayan	0.0677861
grassroot	0.067063
"South African Communist Party"	0.0670089
septuagenarian	0.0666644
Amish	0.0663646
"Caribbean Community"	0.0662329
cappella	0.0662099
non-Jewish	0.0655864
chaebol	0.0655127
Islamist	0.0650025
sub-regional	0.0649618
Fatah	0.0649385
"Vietnamese Communist Party"	0.0648429
"civil liberty"	0.0647153
down-and-out	0.0646314
Hmong	0.0645822
"International Red Cross"	0.0643059
"right to life"	0.064015
ADL	0.0639272
KKK	0.0638014
"direct action"	0.0637144
D-@	0.0635061
"Human Rights Campaign"	0.0630635
"Abu Nidal"	0.0630458
ultra-Orthodox	0.0624362
Druse	0.0621686
Oxfam	0.0620027
inter-Korean	0.0609328
CCF	0.0601398
PNC	0.0598333
interagency	0.0585548
"AIDS activist"	0.0583265
"Nahdlatul Ulama"	0.0581462
ranching	0.0576648
pro-British	0.0575655
preservationist	0.0573227
"Iraqi National Congress"	0.0571865
Navajo	0.0571477
"Grand Central"	0.0570363
"Northern Virginia"	0.056832
"Republican Senate"	0.0567653
pan-African	0.0564484
Lagardere	0.0563854
Sikh	0.0563333
Amal	0.0561853
"Russian Orthodox Church"	0.0561114
Timorese	0.0558018
capella	0.0556739
Kosovar	0.0556283
"Chinese NPC"	0.0555784
"National Urban League"	0.0553346
"Southern Poverty Law Center"	0.0547844
Acadian	0.0547832
Olathe	0.0547818
"Orthodox Christian"	0.0547413
anarchist	0.0543866
"Electronic Privacy Information Center"	0.0542887
hammy	0.0541327
"George E. Pataki"	0.0540565
PAOK	0.0539669
Hunky	0.0538335
"Ethnic Albanian"	0.0537661
Renamo	0.053699
"National Front"	0.0536373
Chechen	0.0530926
Greenpeace	0.0530624
"Republican House"	0.0529221
Montiel	0.0527988
Sandinista	0.052724
Estonian	0.0526752
agribusiness	0.0525354
Yoruba	0.0522725
kibbutz	0.0519766
ultranationalist	0.0517484
PDI	0.0517373
IGAD	0.0517059
SPS	0.0516607
android	0.0514726
"voting age"	0.051402
sit-down	0.05131
"Macao Government"	0.0511491
hardline	0.0507582
UFW	0.0506946
"Bay State"	0.0506462
mujahedeen	0.0505448
abolitionist	0.0501478
abortionist	0.0501073
ferret	0.0500555
SDLP	0.0500074
"Southeastern Legal Foundation"	0.0498983
prentice	0.0497369
"Middle Eastern"	0.0496715
Inkatha	0.0496685
"electrical engineer"	0.0490501
Moro	0.0490059
PBA	0.0488996
"Hispanic American"	0.0486657
UDF	0.0486623
"Tibetan Buddhist"	0.0484623
KDP	0.0484008
"Palestine National Council"	0.0482681
Tatar	0.048225
pro-western	0.0482023
Davidian	0.0480784
Younger	0.0479912
Maya	0.0479835
Miao	0.0479822
"Anti-Defamation League"	0.0478592
"Alcoholics Anonymous"	0.0477613
Aggie	0.0477225
"New York Republican"	0.0475661
"American Lung Association"	0.0474956
KA	0.0472721
"Human Rights Watch"	0.04724
"Serbian Orthodox Church"	0.0471396
Slavic	0.0469078
sorority	0.0468277
"Bordeaux wine"	0.0468122
UNIP	0.0467183
"Public Citizen"	0.0467096
Mullaitivu	0.0464911
Hekmatyar	0.0464367
Afrikaner	0.0464148
Maltese	0.0463691
FN	0.0463412
"Real IRA"	0.046193
UNP	0.0461328
"Orthodox Christians"	0.0460196
"shoe store"	0.0459277
))
(Arab-Americans (desc 1119.16) (sims
Copt	0.268105
"Coptic Christians"	0.167835
Chinese-Indonesians	0.145966
"Bosnian Croats"	0.127747
non-Muslims	0.120804
non-whites	0.120373
Sikh	0.114985
Croatians	0.114216
Italian-Americans	0.109851
Montenegrins	0.10608
"Israeli Arabs"	0.101918
"Orthodox Christians"	0.100569
"Orthodox Jews"	0.0998399
Moslem	0.0968595
Tamil	0.0954492
Druse	0.0951768
Croats	0.0899635
"Hispanic American"	0.088953
Hindu	0.0887139
"stamp collector"	0.0870836
Mexican-Americans	0.0841869
"Sri Lankans"	0.0837163
illegals	0.0830416
"Iraqi POWs"	0.0824
"Kosovo Serbs"	0.0819076
protestor	0.081553
Asian-Americans	0.0789969
Lithuanians	0.0775561
"Bosnian Croat"	0.0770924
"Asian Americans"	0.0767137
Afghan	0.0755452
"Bosnian Serbs"	0.0753376
Cuban-Americans	0.0747362
"people of color"	0.0747067
"American Jews"	0.0743239
Algerian	0.0736152
congregants	0.0727336
Anglos	0.0718471
westerner	0.0718304
deserter	0.0714322
Salvadoran	0.0706113
Kashmiris	0.0705458
"Kresimir Zubak"	0.0701487
"church member"	0.0700838
Englishmen	0.0698501
Bosnians	0.0696344
Japanese-Americans	0.0681929
Northerner	0.0680915
"market watcher"	0.0679175
Kurds	0.0677583
skydiver	0.0676321
Counsell	0.0670798
Jovanovic	0.0670746
Navajos	0.0667392
kindergartners	0.0652575
mainlanders	0.0649726
Frenchmen	0.0648328
Sudanese	0.0646102
REITs	0.0640253
goer	0.0639079
Uighurs	0.0637677
"New York Republicans"	0.0628688
"political detainee"	0.0627948
"Southern Democrats"	0.0615119
"New Jerseyans"	0.0613911
Yazdi	0.0612784
Tibetans	0.0611576
"financial officer"	0.0609627
Atlantans	0.0609086
sixth-graders	0.0608495
Ecuadoreans	0.0608461
"newspaper editor"	0.0606973
Hutus	0.0606843
picketers	0.0603972
Yoruba	0.060118
Honduran	0.0600765
Tatar	0.0598284
cabby	0.0597399
"Cuban Americans"	0.0596406
"union member"	0.0596183
clergymen	0.0583259
stone-throwers	0.0580367
"university student"	0.0575365
Hawaiians	0.0575278
"civic leader"	0.0574104
Basques	0.0572417
worshipper	0.0572297
Xanana	0.0570353
Eritrean	0.056952
Cavallo	0.0568138
do-it-yourselfers	0.0566987
ex-combatants	0.0566107
evangelicals	0.0564462
"Pakistan People's Party"	0.0564076
UNIP	0.056371
"Boston Herald"	0.0560064
Afrikaner	0.0558576
Timorese	0.0556633
HDZ	0.0555129
snowmobilers	0.0555013
Muscovite	0.0553201
Ghanaians	0.0551852
"New York Democrats"	0.0547471
Bostonians	0.0546584
straggler	0.0545886
Chinese-Americans	0.054485
pagan	0.0544219
colonias	0.0544142
"Iraqi Kurds"	0.0544011
farmworkers	0.0542967
beachgoers	0.0539924
scalpers	0.0539405
filmgoers	0.0539264
"fellow traveler"	0.0538661
complainant	0.0538523
Vermonter	0.0537094
TRUANT	0.0534636
Kiareldeen	0.0532566
motorcyclists	0.0529862
Ukrainians	0.0528893
VMs	0.0524152
snowboarders	0.0523227
"Sephardic Jews"	0.052176
"Asian Football Confederation"	0.0519914
Londoner	0.051945
Lutheran	0.0519397
"North Africans"	0.051916
Arabian	0.0518326
hostage-takers	0.0517814
"Texas Democrats"	0.0516985
Arianespace	0.0515365
taster	0.0514082
shuttlers	0.0513959
Mozambican	0.051209
non-Serbs	0.0510908
third-graders	0.0508519
Malian	0.0507861
adoptees	0.0507732
Anglican	0.050724
intranets	0.0502328
experimenter	0.0502167
restaurateur	0.0501926
"world traveler"	0.0501469
Shayler	0.0500487
"market participant"	0.0500083
achiever	0.049667
rustler	0.049484
lycopene	0.0494114
"No. @s"	0.0494091
concertgoers	0.0493693
"gold miner"	0.049169
Hausa	0.0491551
backbencher	0.0489112
marcher	0.0488385
"garment worker"	0.048794
"school girl"	0.0487765
"political dissident"	0.0487179
reveler	0.0486944
Gibbon	0.0485041
"Abu Nidal"	0.0484089
"school boy"	0.0484088
lobstermen	0.0482612
near-monopoly	0.0482552
cultivar	0.0481611
Koreans	0.0480562
Acadian	0.0479888
"faculty member"	0.0479463
Mississippian	0.0479308
preservationists	0.0477986
beekeeper	0.0476346
"foreign officials"	0.0475885
seminarian	0.0474444
suburbanite	0.0474035
"business traveler"	0.0473998
"Olympic Council of Asia"	0.0472932
emigrant	0.0470612
"little leaguer"	0.0468688
shipowner	0.0468161
Sinhala	0.0467905
shredders	0.046735
"Bengal tiger"	0.0466368
trainload	0.0464945
"Albanian Kosovars"	0.0463678
swindler	0.0463366
birder	0.0462983
Bedouin	0.0462309
Trevi	0.0461963
mushers	0.0461473
geographer	0.0460907
Midwesterners	0.0460579
snakehead	0.0459564
botanist	0.0459531
ex-convicts	0.0459446
woodworker	0.0459128
atheist	0.0459047
Missourian	0.0458566
"lower class"	0.0458564
backpackers	0.0457442
Baptists	0.0457292
"North Koreans"	0.0456984
))
(Arab-Israeli (desc 1975.15) (sims
Israeli-Arab	0.380427
Israeli-Palestinian	0.312091
Palestinian-Israeli	0.255335
Israeli-Syrian	0.237535
inter-Arab	0.224407
U.S.-Russian	0.201806
INDIA-PAKISTAN	0.201587
inter-Korean	0.196843
Syrian-Israeli	0.173286
cross-Straits	0.167838
on-and-off	0.147405
House-Senate	0.138892
China-U.S.	0.133496
Mideast	0.133272
"Northern Irish"	0.131218
simmering	0.126681
Russian-U.S.	0.126302
Sino-British	0.1263
U.S.-China	0.125889
Sino-Japanese	0.119329
north-south	0.117374
"breaking off"	0.112779
U.S.-Japan	0.109769
Asia-Europe	0.109436
Sino-U.S.	0.104686
Oedipal	0.104663
Sino-African	0.102307
Sino-French	0.101956
Balkan	0.10192
final-status	0.0967201
Behind-the-scenes	0.0963335
Franco-German	0.0949022
long-running	0.0931969
week-long	0.0925492
interagency	0.0890669
Japan-U.S.	0.0883257
high-stakes	0.0865889
Ulster	0.08524
Sino-Russian	0.0847793
fast-track	0.0832642
east-west	0.0820845
Kashmiri	0.0794951
state-to-state	0.0758224
three-decade	0.0756267
Abkhazian	0.0724069
FTAA	0.0723995
"Agenda @@@@"	0.0709704
eight-month	0.0707008
"tit for tat"	0.0672319
Bougainville	0.0668568
IGC	0.0649102
pan-African	0.0645965
"collective bargaining"	0.0641547
one-to-one	0.0635093
Bakassi	0.0626006
well-publicized	0.0613628
seven-month	0.0605187
five-month	0.0601735
lastest	0.0597589
backroom	0.0593343
pep	0.0588284
coming-out	0.0587456
FTA	0.0578086
BASQUE	0.0569783
"Uruguay Round"	0.0561768
"two year"	0.0561262
resolving	0.0557009
two-decade	0.0556751
fostering	0.0551107
two-month	0.0537196
Muslim-Croat	0.0531013
"Wye River"	0.0525611
Nagorno-Karabakh	0.0523689
Solomons	0.051972
seven-week	0.0519103
declassification	0.0517823
"START III"	0.0516353
eleventh-hour	0.0512012
Ita	0.0509767
three-week	0.0503322
good-neighborly	0.0496724
two-week	0.0496081
sub-regional	0.049303
nine-month	0.0492688
RAMBOUILLET	0.0483702
Wye	0.0475666
GATT	0.0470581
IPR	0.0468609
Non-governmental	0.0465491
backdoor	0.0465033
"round table"	0.0461234
Erez	0.0460654
four-month	0.0454329
decadelong	0.0453126
Chechen	0.0443682
delimitation	0.0441767
"billion dollar"	0.0436043
hardball	0.0434956
"set back"	0.0432748
six-week	0.0428455
MCC	0.0428171
ASEM	0.0423825
Multistate	0.0423035
boardroom	0.042217
conciliation	0.0419058
unionization	0.0415792
on-again	0.0410647
Indochina	0.0410535
five-week	0.0408028
))
("Arab-Israeli War" (desc 2928.63) (sims
"Middle East War"	0.486414
"Mideast War"	0.452881
"Six Day War"	0.326893
"Iran-Iraq War"	0.0900453
"bear market"	0.0813855
"Balkan Wars"	0.0743288
uprising	0.0704285
Badme	0.068286
"Spanish-American War"	0.0680018
"Ryder Cups"	0.0654295
"Persian Gulf War"	0.0649665
Mideast	0.0624692
"Korean War"	0.0611667
"Spanish Civil War"	0.0608771
firefight	0.0591698
"All-Star Games"	0.0550977
"Civil Rights Act"	0.0516449
"Telecommunications Act"	0.050895
"Voting Rights Act"	0.0505655
"basketball season"	0.0491609
"World Cups"	0.0486652
"Balanced Budget Act"	0.0481911
"calendar year"	0.0475039
"World War I."	0.0468992
"first two quarters"	0.0468283
"NBA Finals"	0.0467533
"Geneva convention"	0.0466028
"race riot"	0.0465375
"Great War"	0.0464604
"South Lebanon"	0.046425
"Antiquities Act"	0.0459605
"SEA Games"	0.0458464
"Opium War"	0.0457207
"Islamic Revolution"	0.044599
"World War I"	0.044085
temblor	0.0438979
LAT	0.0436642
"Olympic Winter Games"	0.0433977
by-election	0.0426755
"gold rush"	0.0423486
armistice	0.042197
"PGA Championships"	0.0420181
"Oslo Accords"	0.0415884
"Earth Day"	0.0413857
"Final Fours"	0.0408014
"Holy Year"	0.0407758
"Nagano Winter Olympics"	0.0406439
"last four months"	0.0401507
))
(arabesque (desc 2294.67) (sims
clematis	0.0609623
zigzag	0.0600267
"piece of furniture"	0.0585672
"Cliffs Notes"	0.0584556
striptease	0.056226
lattice	0.0551224
CD-R	0.0515124
hourglass	0.0506974
"stained-glass window"	0.0506892
pinwheel	0.0498264
opal	0.0486933
checkerboard	0.0481582
sundial	0.0481363
"brain stem"	0.0474417
"Palm III"	0.0469846
"house party"	0.0458028
"Thandie Newton"	0.0457174
flatware	0.0457126
Mullins	0.0455359
"software product"	0.0453751
grout	0.0448704
"standing room"	0.0441642
"Passion play"	0.0441085
leotards	0.0438788
sparkler	0.0433276
"flying saucer"	0.0429331
ISDN	0.0428177
"young actress"	0.0424713
dimple	0.0423385
Ayatollah	0.0418615
McDonalds	0.0415226
somersault	0.04136
"Next Generation"	0.0410836
adenovirus	0.0410794
"piece of music"	0.0406604
Rubicon	0.0403515
))
(Arabia (desc 2449.51) (sims
Persia	0.0885348
"Near East"	0.0603711
"Prince Saud Al-Faisal"	0.056502
"David Duke"	0.0525165
O.	0.0516137
Mesopotamia	0.0492259
Bakassi	0.0491441
Eurasia	0.0477908
Al-Faisal	0.0472436
"Civil Rights Act"	0.0467664
"East Europe"	0.0461724
"Impossible @"	0.0456751
"Francisco Labastida Ochoa"	0.0456026
Talal	0.045176
Spartacus	0.0450249
Pompeii	0.044612
Kazhegeldin	0.0446038
Athenian	0.0442323
"NL Rookie"	0.0434185
Bushehr	0.0430373
septuplets	0.0428357
"sleeping beauty"	0.0421046
"Sylvia Plath"	0.0418191
carburetor	0.0414178
"northern hemisphere"	0.0404984
))
(Arabian (desc 936.268) (sims
Laotian	0.099881
Creole	0.0892951
Manchu	0.0880914
Arabic	0.0805439
Scandinavian	0.0794552
Zhuang	0.0770866
"quarter horse"	0.0768719
Hindi	0.0757312
Persian	0.0713941
Uygur	0.0701001
Taoist	0.0685687
Croatians	0.0685076
Caucasian	0.0662445
"North African"	0.0636163
"Eastern European"	0.0537957
Putonghua	0.0532145
Mandarin	0.052332
Sinhala	0.0520648
Arab-Americans	0.0518326
"Favorite Trick"	0.0509097
Cameroonian	0.0492949
Chinese-Americans	0.0490083
Swahili	0.0475407
Tu	0.0474084
"Taiwan Province"	0.0468138
"A.P Indy"	0.0467849
DIMON	0.0467474
Sabra	0.046152
"Sephardic Jews"	0.0452929
Arianespace	0.0446747
"U. S."	0.0439461
Coptic	0.0435707
triad	0.0432622
potty	0.0429141
encirclement	0.0420431
Uighurs	0.0418216
"West Indian"	0.0416836
"Science City"	0.0405084
Metreon	0.0404271
))
("Arabian Nights" (desc 1101.43) (sims
Merlin	0.0741113
Freddy	0.0707763
"Twin Peaks"	0.0603934
Noah	0.0598808
Hoffmann	0.0556931
"Siamese twin"	0.0543323
Hughleys	0.0527944
Chaucer	0.051058
"Sally Hemings"	0.0501788
"Martin Frankel"	0.050106
Simpsons	0.0499609
"adventure story"	0.0497994
"detective story"	0.049129
"Economic Commission for Latin America"	0.048816
"two pitchers"	0.0480097
"American South"	0.0473055
Miata	0.0467155
"African Cup"	0.0454169
Dharma	0.0448932
mini-series	0.0445448
cliffhanger	0.044133
Rugrats	0.0428544
IRC	0.041575
"scarlet pimpernel"	0.0406978
Nightline	0.0405696
"Dateline NBC"	0.0404028
superstructure	0.0400004
))
("Arabian Peninsula" (desc 1403.75) (sims
"West Asia"	0.134528
"Yucatan Peninsula"	0.0975609
subcontinent	0.0953413
"Hainan Island"	0.0923465
"East Europe"	0.0901194
"Near East"	0.082739
"Korean Peninsula"	0.0779928
"Vancouver Island"	0.0775788
Sharjah	0.0756558
"little finger"	0.0751507
"sea lane"	0.0747181
"Sinai Peninsula"	0.0744459
"Outer Banks"	0.0733584
"Dead Sea"	0.0726566
"North Island"	0.0716375
"Central Asia"	0.0688783
"Taklimakan Desert"	0.0625601
Luzon	0.0615616
Scandinavia	0.0593755
jetty	0.0581747
Caucasus	0.0581075
"Cape Fear"	0.0579717
Siberia	0.057759
"ring finger"	0.0575341
"Baja California"	0.0572185
Patagonia	0.0542578
"North Africa"	0.0541164
"Loess Plateau"	0.053468
"Baltic Sea"	0.0533084
Tamaulipas	0.0529559
"paring knife"	0.0525068
"Caspian Sea"	0.050542
"Silk Road"	0.0492196
"Roman Empire"	0.0491583
"Suez Canal"	0.0482959
Badme	0.0477917
"Red Sea"	0.0474081
"Central Europe"	0.0470607
"Commonwealth of Independent States"	0.0459642
Sulawesi	0.0456771
"middle finger"	0.0453659
"Pacific Rim"	0.04438
Bowery	0.0439228
"Tarim Basin"	0.0439068
"Black Sea"	0.0435689
"East Africa"	0.0427057
Kismaio	0.0426419
Persia	0.042303
Bekaa	0.0421677
"Arabian Sea"	0.0418249
Kowloon	0.0415564
"Hollywood Boulevard"	0.0414954
"Seventh Avenue"	0.0413093
Borneo	0.0407066
Isthmus	0.0405918
Putumayo	0.040581
"golden rule"	0.0405208
Berkshires	0.0404936
Tadzhikistan	0.0404098
Eurasia	0.0404036
"Indian Ocean"	0.0401617
))
("Arabian Sea" (desc 1378.56) (sims
"Mediterranean Sea"	0.168709
"Indian Ocean"	0.142756
"Red Sea"	0.129863
"Bay of Bengal"	0.124538
"Yellow Sea"	0.123158
"Sea of Japan"	0.121899
Mediterranean	0.109178
"South Atlantic"	0.0937974
"Adriatic Sea"	0.0924654
"Persian Gulf"	0.0924103
"Baltic Sea"	0.091504
Aegean	0.0909435
Adriatic	0.0851553
"Aegean Sea"	0.0844276
"Far Eastern"	0.0842216
"East China Sea"	0.0815354
"Dead Sea"	0.0781713
"South China Sea"	0.0754338
"Black Sea"	0.0732091
"Caribbean Sea"	0.0691428
Borneo	0.0676746
"Southern Ocean"	0.0650112
"Gulf of Mexico"	0.0632662
Limassol	0.0617011
"South Pacific"	0.0612573
"North Atlantic"	0.0610314
"high sea"	0.0601959
"New York Harbor"	0.0584359
Mendocino	0.0577005
"Western Desert"	0.055776
Sinai	0.0553276
"territorial water"	0.0549496
Trincomalee	0.0534036
Orissa	0.0519644
Baltic	0.0514465
"Caspian Sea"	0.05134
"English Channel"	0.0507025
"Lake Erie"	0.0504563
Mid-Atlantic	0.050174
"Barents Sea"	0.0500811
Mullaitivu	0.049609
Nyanza	0.0495965
"North Sea"	0.049094
"Big Sur"	0.0483102
"battle group"	0.0475412
"Cape Fear"	0.0474299
Sipadan	0.0467367
"Northern Territory"	0.0460201
Batam	0.045544
Crimea	0.0446851
Breton	0.0443486
"Eastern Cape"	0.044316
"Pulau Pinang"	0.0443144
"Taiwan Strait"	0.043523
"East China"	0.0435016
Cornish	0.0429023
Ecuadorean	0.0428492
"Earth's crust"	0.0425164
Persia	0.0422077
"Arabian Peninsula"	0.0418249
Sakhalin	0.0417918
"Congo River"	0.0415797
Webdale	0.040857
Cabinda	0.040775
"rough water"	0.0406063
))
(Arabic (desc 18453.7) (sims
Hebrew	0.277565
Yiddish	0.205477
Spanish	0.198194
English	0.197114
Swahili	0.194495
Hindi	0.180863
Mandarin	0.173433
Portuguese	0.171421
Cantonese	0.169393
Latin	0.166497
Urdu	0.156768
Sanskrit	0.154656
Farsi	0.148112
Afrikaans	0.147757
Creole	0.138046
French	0.13755
dialect	0.137022
Bengali	0.12667
Tibetan	0.123269
language	0.121863
Putonghua	0.120235
Gaelic	0.120005
Greek	0.11991
Aramaic	0.117952
Italian	0.116979
"English language"	0.114192
Japanese	0.113397
Kiswahili	0.111273
German	0.105707
Chinese	0.104247
Persian	0.100781
Korean	0.0947403
Russian	0.086855
Braille	0.086586
Vietnamese	0.0842094
Arabian	0.0805439
Mongolian	0.079642
Malay	0.0787641
Armenian	0.0770654
Irish	0.0769627
Polish	0.0766815
"sign language"	0.0762829
Dutch	0.0752629
Hungarian	0.0749007
"mother tongue"	0.0724481
Norwegian	0.0704175
Javanese	0.0700827
"Middle Eastern"	0.0700532
Scandinavian	0.0696494
Serbian	0.0696351
mathematics	0.0684936
Slavic	0.0664864
"Straits Times"	0.0647113
Finnish	0.0642456
Sinhala	0.0631738
Turkish	0.0631668
"German language"	0.0630693
Bulgarian	0.0625373
"Sydney Morning Herald"	0.0621349
Maariv	0.0618179
Catalan	0.0615654
Welsh	0.0610758
Swedish	0.060652
patois	0.0595741
Zulu	0.0590239
"New Testament"	0.0586303
"New Straits Times"	0.0586125
spoken	0.0583444
civics	0.0578071
"Al Hayat"	0.0572353
HTML	0.05721
alphabet	0.0561398
"present tense"	0.0557801
Thai	0.0557518
Egyptian	0.0543983
Hawaiian	0.0542658
Indonesian	0.0530386
algebra	0.0529207
Arab	0.052582
Haaretz	0.0522565
jargon	0.0516965
Swiss	0.0511792
Scripture	0.0510407
shorthand	0.0509647
XML	0.0509147
Czech	0.0508751
al-Hayat	0.0506359
Navajo	0.0505766
Belgian	0.050263
Croatian	0.0501469
"French Canadian"	0.0499105
Nepalese	0.0497971
"Le Figaro"	0.0496191
Koran	0.0491905
Danish	0.0489536
literature	0.0488465
Kommersant	0.0486811
"Jerusalem Post"	0.0486423
idiom	0.0482712
Reforma	0.0480836
math	0.0479986
Bible	0.0479761
Ukrainian	0.0477356
monotone	0.0474842
Filipino	0.0474562
Bild	0.0469849
L'Equipe	0.0466284
Al-Ahram	0.0464839
Greeks	0.0464059
tongue	0.0457099
Taiwanese	0.0455788
calypso	0.0445619
vernacular	0.0441263
text	0.0435404
Cajun	0.043519
parlance	0.0434434
Koreans	0.0432137
"Le Monde"	0.0431885
Zhuang	0.0426979
translation	0.0424654
writing	0.0423445
Celtic	0.0422273
"Eastern European"	0.042179
Tamil	0.0421162
"South China Morning Post"	0.0421135
physics	0.042019
Uygur	0.0419668
"Tehran Times"	0.0419132
preface	0.041754
lingo	0.041622
slang	0.0415896
Noticias	0.0412753
"physical education"	0.0411387
Kurdish	0.0411253
"New Vision"	0.0410204
Briton	0.0404758
geography	0.0404042
Roman	0.0402723
"computer science"	0.0402536
gospel	0.0401927
vocabulary	0.0400542
))
(Arad (desc 1730.63) (sims
Obeid	0.109666
Bishara	0.103873
Babitsky	0.0924681
MIAs	0.0871192
Shoate	0.0805311
Webdale	0.0802007
Taloqan	0.0797423
Juba	0.0755608
Berenson	0.0750174
Matadi	0.0737931
Fahey	0.0735915
Baez	0.0720016
Laudor	0.0715398
"Iranian POWs"	0.0714346
Menchu	0.0711951
Youk	0.0706842
Bonner	0.0705222
MCGEE	0.070087
Whitehead	0.069895
"Kuril Islands"	0.0696751
Brunner	0.0690005
Hamzah	0.0687478
Charikar	0.0677873
Blackman	0.0676565
Makeni	0.0672855
Arizmendi	0.0654683
Kalemie	0.0652789
Gaither	0.0649227
Nkomo	0.0648156
Escobar	0.0646044
Hindery	0.0645674
Vukovar	0.0641502
Ricart	0.0638233
Lawler	0.063591
airmen	0.0635635
Gusmao	0.0633953
Mankulam	0.0628645
"John Kennedy Jr."	0.0623212
Norberg	0.0619249
Irbil	0.0618924
Gathers	0.0609998
Kizlyar	0.0607711
Kornberg	0.0606709
Krasniqi	0.0604954
Phelan	0.059961
Mazar-i-Sharif	0.0596913
Klestil	0.0595213
Dostum	0.0594328
Massey	0.0592966
Montesinos	0.0592869
Connor	0.0591417
Brcko	0.0590798
"prisoner of war"	0.0585515
"Davy Crockett"	0.0583152
Fech	0.0581944
Alves	0.058032
Macfarlane	0.0580078
Goldstein	0.0576727
Amedure	0.0575004
Hamid	0.0574429
"Iraqi POWs"	0.0574272
"submachine gun"	0.0573799
Stayner	0.0572492
Raduyev	0.0572063
Prabowo	0.0571465
Munson	0.057088
Matasareanu	0.0568245
Binion	0.0567457
Elliot	0.0567312
Villalonga	0.0565918
Rafah	0.0563506
Faison	0.0558186
Costin	0.0558057
Cunanan	0.0554896
Pamela	0.0554701
Imperatori	0.0554287
pleasantry	0.0552085
Moxley	0.0549103
Smaltz	0.0546871
"Jordan Valley"	0.0543464
Daigle	0.0543307
Atkinson	0.0542483
"Ta Mok"	0.0541924
Haicheng	0.0539296
Timmy	0.0536522
POW	0.0534634
Khost	0.053079
"John Weaver"	0.0529715
Pompeii	0.0529168
Selena	0.0528101
"Mazari Sharif"	0.0526423
Hightower	0.05259
O'Hair	0.0525116
Zheng	0.0525078
Vaughan	0.0523483
"Condoleezza Rice"	0.0523202
Blackmun	0.0522035
Avila	0.0520546
Pollard	0.0520047
Markovic	0.0517729
Landau	0.0517716
Laudrup	0.0515461
Spellman	0.051468
Eichmann	0.0513223
Resendez-Ramirez	0.0513176
Lhokseumawe	0.0510982
Galindo	0.0510847
"De Soto"	0.0505817
Coughlin	0.0505286
Lijiang	0.0504725
Mayberry	0.0502798
Leuchter	0.0502079
Korman	0.0501118
Kiareldeen	0.0499168
"Bob Bullock"	0.0497068
Xanana	0.0496706
Lowry	0.0496184
Nasrin	0.0494871
"Sinai Peninsula"	0.0494677
Leto	0.0493693
"Ahmed Tibi"	0.0492605
Cooley	0.0492523
Kurth	0.0491444
Kindu	0.0491394
Jalalabad	0.0491364
"Jonathan Pollard"	0.0490997
Hendrix	0.0489735
Scelzi	0.04885
Tierney	0.0488089
"home rule"	0.0487529
"Rahm Emanuel"	0.0484754
Meston	0.0484601
"David Bar-Illan"	0.0484453
"Matthew Eappen"	0.0480918
Mercurio	0.0479277
"Shelly Finkel"	0.0478464
Bulatovic	0.0478452
Golcuk	0.0477902
Karbala	0.0477791
Moshi	0.047768
Kabwe	0.047681
"John F. Kennedy Jr."	0.0476099
deserter	0.0475984
Koroma	0.0475589
"Anlong Veng"	0.0475405
"San Cristobal"	0.047502
"Dore Gold"	0.0474156
Padilla	0.0472161
Abiola	0.0471711
Mercer	0.0470705
Pape	0.0470703
Bamiyan	0.0470554
Ruskin	0.0469366
"JFK Jr."	0.0467933
Bavasi	0.0467825
Ulrich	0.0467748
Alydar	0.0466906
"five spot"	0.0466709
"JonBenet Ramsey"	0.0466504
Biko	0.0466478
motley	0.0466476
"Foday Sankoh"	0.0466418
"Carole Sund"	0.0465991
Swenson	0.0463836
Fuentes	0.0463073
Christensen	0.0462031
Assisi	0.0461949
"Andrei Babitsky"	0.0461597
"Leon Hess"	0.0460776
Kilinochchi	0.0460224
Beersheba	0.0460186
Ileto	0.0459087
"fire hose"	0.0458578
"American plane"	0.0458532
Cacak	0.0457982
Speer	0.0457585
Harr	0.0455022
Cashman	0.0454993
Crockett	0.045235
Kismayu	0.0452261
Iglesias	0.0451368
Soares	0.0451225
Wilkerson	0.0450832
MiGs	0.0450519
Gurule	0.0450474
"Bobby Brown"	0.044983
Vina	0.0449522
Huffington	0.0449038
Contreras	0.0445976
"administration official"	0.0445963
Zhivkov	0.0445459
Soliah	0.0445362
"Mark McKinnon"	0.0443279
Cassie	0.0442367
"defense lawyers"	0.0442112
Jenin	0.0442101
Ashkelon	0.0440582
"Michael Kennedy"	0.0440359
Indyk	0.0440352
Keenan	0.0440133
))
(Arafat (desc 62148.1) (sims
Netanyahu	0.257459
Barak	0.256204
"Yasser Arafat"	0.241701
Mubarak	0.239291
"Benjamin Netanyahu"	0.227412
"Ehud Barak"	0.219847
Albright	0.202633
Chirac	0.197944
Yeltsin	0.19073
Annan	0.184112
Mandela	0.183437
al-Assad	0.183374
Assad	0.174775
"Binyamin Netanyahu"	0.17361
Blair	0.172489
Clinton	0.172451
"King Hussein"	0.167556
"Tony Blair"	0.167404
Jiang	0.162009
Peres	0.15772
Milosevic	0.157198
"secretary of state"	0.156527
Sharif	0.155541
Putin	0.152645
Aziz	0.151673
Palestinian	0.151581
President	0.149538
Moi	0.149217
Khatami	0.148438
"Kofi Annan"	0.147675
Vajpayee	0.147641
Mbeki	0.147432
Weizman	0.147311
al-Sharaa	0.147198
Primakov	0.146805
leader	0.146075
Schroeder	0.14572
Mordechai	0.144812
Wahid	0.144419
"Hun Sen"	0.143814
"Shimon Peres"	0.14342
Cohen	0.142363
"Nawaz Sharif"	0.141652
Mahathir	0.141537
Mugabe	0.139596
Zhu	0.139294
Gaddafi	0.138701
Moussa	0.137753
"Palestinian National Authority"	0.13748
"William Cohen"	0.136663
"Atal Bihari Vajpayee"	0.136424
Kabila	0.135864
Denktash	0.13501
Tung	0.134266
Demirel	0.134097
Rugova	0.133692
minister	0.133301
Clerides	0.13281
Saddam	0.132334
Jospin	0.132163
Lott	0.130816
Ivanov	0.130386
Israel	0.130082
Chancellor	0.129825
Kuchma	0.12921
"Keizo Obuchi"	0.129086
Obuchi	0.129051
PNA	0.128392
Chuan	0.128081
Estrada	0.127888
Chernomyrdin	0.127356
"foreign minister"	0.126887
Menem	0.126181
Gadhafi	0.125816
Castro	0.125226
Abdullah	0.124893
Hashimoto	0.124885
Holbrooke	0.123912
Ecevit	0.123854
Kohl	0.123394
Lukashenko	0.123208
"Ryutaro Hashimoto"	0.123181
"Chuan Leekpai"	0.12291
"Yevgeny Primakov"	0.122331
Habibie	0.122303
Museveni	0.121072
Hussein	0.120946
Solana	0.120519
Pastrana	0.120358
"President Kim Dae-jung"	0.120339
"Lionel Jospin"	0.120077
Ross	0.120072
"Javier Solana"	0.119539
Chretien	0.118555
Lahoud	0.118265
Kharrazi	0.118087
Giuliani	0.11773
Mkapa	0.117227
Hariri	0.117164
"Mahathir Mohamad"	0.116832
gore	0.116515
al-Bashir	0.1163
Israeli	0.116043
Abubakar	0.115595
Samaranch	0.1154
"King Abdullah"	0.11525
Chiluba	0.115012
"Sheikh Hasina"	0.114983
Reno	0.114541
negotiator	0.11444
Premier	0.114309
Rafsanjani	0.114161
Syria	0.113653
Kim	0.113199
Khamenei	0.113145
"Arab League"	0.112827
government	0.112731
Fujimori	0.112546
Simitis	0.112462
Prodi	0.11239
Hasina	0.112276
Bush	0.111751
"Mesut Yilmaz"	0.111479
Cem	0.111308
"Jordanian King Hussein"	0.111071
"Jean Chretien"	0.110718
Qian	0.110465
Zedillo	0.11038
"Atal Behari Vajpayee"	0.110352
Aznar	0.110065
envoy	0.109935
Pataki	0.109094
Trimble	0.109008
"Jiang Zemin"	0.108849
"Li Peng"	0.108786
Nazarbayev	0.108739
"John Howard"	0.108094
al-Shara	0.107649
"Pope John Paul II"	0.107192
Ramos	0.107171
pope	0.107133
Kinkel	0.106962
"John Major"	0.1069
"Palestinian Authority"	0.106803
Goh	0.106089
"finance minister"	0.105988
Syrian	0.105457
"Bulent Ecevit"	0.105359
Sharon	0.105217
Cellucci	0.104996
"Saeb Erekat"	0.104731
"King Fahd"	0.104576
Yilmaz	0.104562
Mayor	0.104173
Chavez	0.104015
official	0.103895
Hassan	0.103836
Vedrine	0.103821
lawmaker	0.103801
"Costas Simitis"	0.103677
Saleh	0.103355
Li	0.103191
Talbott	0.102829
"Jordanian King Abdullah Bin Hussein"	0.102737
Komura	0.102512
delegation	0.102433
Sharaa	0.102126
Savimbi	0.101457
"head of state"	0.101118
"Goh Chok Tong"	0.101001
Gingrich	0.100819
Dini	0.100652
Ambassador	0.100629
Velayati	0.100392
administration	0.10031
Governor	0.100052
"Inder Kumar Gujral"	0.10002
Fischer	0.0999093
McCain	0.0996282
Khaddam	0.0993988
Ikeda	0.0993853
Hastert	0.0993746
Pangalos	0.0993536
Shevardnadze	0.0991854
"Janet Reno"	0.0988207
Obasanjo	0.0987846
secretary	0.0987726
Taliban	0.0987244
Musharraf	0.0987138
al-Sahhaf	0.0986519
Erekat	0.0985291
"Necmettin Erbakan"	0.0985029
"Viktor Chernomyrdin"	0.0982703
Nujoma	0.0981332
Constantinescu	0.0976667
chairman	0.0967279
Berisha	0.096694
"vice president"	0.0964346
"Rafik Hariri"	0.0963212
"Dalai Lama"	0.0962392
))
(Aramaic (desc 1819.29) (sims
Hebrew	0.178133
Yiddish	0.156123
Persian	0.144123
Kiswahili	0.141928
Swahili	0.124152
Arabic	0.117952
Sanskrit	0.117268
Afrikaans	0.112816
Latin	0.106886
Urdu	0.106495
Hindi	0.103105
Bengali	0.102769
Gaelic	0.10264
Farsi	0.0988361
HTML	0.0948792
XML	0.093279
Putonghua	0.0925516
Braille	0.0904519
Mandarin	0.0766752
"mother tongue"	0.073661
Sinhala	0.069237
Cantonese	0.0682263
Phoenician	0.0652095
Breton	0.0632859
spoken	0.0621166
"Cliffs Notes"	0.0619747
Americanized	0.0593574
Javanese	0.0588098
Midi	0.0577667
"Strategic Petroleum Reserve"	0.0575114
Armenian	0.0567992
Coptic	0.0556219
"New Testament"	0.0541027
hieroglyphic	0.0537967
"English language"	0.0534965
"dust jacket"	0.0530903
Slavic	0.0529726
dialect	0.0519405
"comparative literature"	0.0515376
Latvian	0.0503657
loudest	0.0493367
gibberish	0.0491681
microfilm	0.0482856
Torah	0.0472117
Estonian	0.0468805
"German language"	0.0455833
"close to @,@@@"	0.0446482
Provencal	0.044627
olestra	0.0443978
Hausa	0.0440789
"American South"	0.0439636
Metreon	0.0435289
"almost @ million"	0.0430573
"John Gielgud"	0.0426465
"sign language"	0.0413507
Catalan	0.04124
Uygur	0.0408062
boilerplate	0.0407375
"first word"	0.0402685
"ten thousand"	0.0401487
))
("Arantxa Sanchez Vicario" (desc 8698.62) (sims
"Arantxa Sanchez-Vicario"	0.490451
"Conchita Martinez"	0.426946
"Mary Pierce"	0.42479
"Iva Majoli"	0.415262
"Jana Novotna"	0.403103
"Monica Seles"	0.398773
"Amanda Coetzer"	0.397971
"Anke Huber"	0.392764
"Lindsay Davenport"	0.383309
"Nathalie Tauziat"	0.375297
"Sergi Bruguera"	0.36155
"Felix Mantilla"	0.356619
"Alberto Berasategui"	0.353346
"Carlos Moya"	0.345471
"Steffi Graf"	0.340198
"Albert Costa"	0.333514
"Alex Corretja"	0.33025
"Dominique Van Roost"	0.327619
"Venus Williams"	0.326205
"Francisco Clavet"	0.325294
"Michael Chang"	0.324404
"Irina Spirlea"	0.32135
"Natasha Zvereva"	0.320891
"Sandrine Testud"	0.317724
"American Lindsay Davenport"	0.316904
"Chanda Rubin"	0.316318
"Martina Hingis"	0.313486
"Serena Williams"	0.311927
"Thomas Muster"	0.309359
"Patty Schnyder"	0.306824
"Gustavo Kuerten"	0.302872
"Anna Kournikova"	0.301708
"Yevgeny Kafelnikov"	0.300404
"Goran Ivanisevic"	0.297887
"Carlos Costa"	0.297123
"Richard Krajicek"	0.296822
"Andre Agassi"	0.286304
"Thomas Enqvist"	0.286286
"Magnus Norman"	0.286028
"Marcelo Rios"	0.281828
"Patrick Rafter"	0.280324
"Julie Halard-Decugis"	0.279856
"Albert Portas"	0.273113
"Alberto Costa"	0.272035
"Galo Blanco"	0.269639
"Jonas Bjorkman"	0.269473
"Barbara Paulus"	0.269147
"Javier Sanchez"	0.266687
"Russian Yevgeny Kafelnikov"	0.266389
"Petr Korda"	0.26561
"Mary Joe Fernandez"	0.264534
"Ai Sugiyama"	0.262495
"Boris Becker"	0.260587
"Tim Henman"	0.259971
"Wayne Ferreira"	0.259968
"Jennifer Capriati"	0.25879
"Kimiko Date"	0.25632
"Lisa Raymond"	0.256073
"Greg Rusedski"	0.254094
"Magnus Gustafsson"	0.25271
"Amelie Mauresmo"	0.251733
"Nathalie Dechy"	0.250782
"Cedric Pioline"	0.248929
"Richard Fromberg"	0.247141
"Marc Rosset"	0.245064
"American Chanda Rubin"	0.243179
"Jim Courier"	0.242467
Sanchez-Vicario	0.241125
"Mariano Puerta"	0.237105
"Brenda Schultz-McCarthy"	0.236895
"Amy Frazier"	0.236
"Byron Black"	0.235187
"Ruxandra Dragomir"	0.234912
"Sabine Appelmans"	0.234087
"Karol Kucera"	0.232622
"Pete Sampras"	0.231681
"Jason Stoltenberg"	0.228926
"Sanchez Vicario"	0.227732
"Magui Serna"	0.226978
"Yayuk Basuki"	0.224704
"Peter Nicol"	0.223676
"Pat Rafter"	0.222071
"South African Amanda Coetzer"	0.220963
"Nicolas Kiefer"	0.220737
"Elena Likhovtseva"	0.218743
"Dominik Hrbaty"	0.217428
"Andrei Medvedev"	0.217376
"Todd Martin"	0.217141
"Barbara Schett"	0.217046
"Mark Philippoussis"	0.216667
"Paul Haarhuis"	0.213285
"Ye Zhaoying"	0.212216
"Mark Woodforde"	0.212021
"Tamarine Tanasugarn"	0.211243
"Gong Zhichao"	0.210329
"Kenneth Carlsen"	0.208552
"Marat Safin"	0.208421
Davenport	0.20809
"Fabrice Santoro"	0.207983
"Thomas Johansson"	0.206847
"Andrea Gaudenzi"	0.206784
"Sarah Pitkowski"	0.206155
"Magdalena Maleeva"	0.206132
"Judith Wiesner"	0.205579
"Todd Woodbridge"	0.205442
Kafelnikov	0.203109
"Tommy Haas"	0.202297
"Younes El Aynaoui"	0.201689
"Hernan Gumy"	0.200928
"Scott Draper"	0.200903
Seles	0.198896
"Peter Gade Christensen"	0.196859
"Roger Federer"	0.196685
"American Pete Sampras"	0.196615
"American Michael Chang"	0.195446
"Nicolas Escude"	0.194989
"Julian Alonso"	0.194709
"Michael Stich"	0.194293
"Australian Mark Philippoussis"	0.192848
"Arnaud Boetsch"	0.190867
"Rodney Eyles"	0.190581
Novotna	0.190414
Hingis	0.190083
"Silvia Farina"	0.189595
"Davide Sanguinetti"	0.189589
"Filip Dewulf"	0.189526
"MaliVai Washington"	0.189433
"Camilla Martin"	0.188612
"Arnaud Clement"	0.186755
"American Todd Martin"	0.186154
"Nicolas Lapentti"	0.185729
"Juan Antonio Marin"	0.185675
Moya	0.184361
"Naoko Sawamatsu"	0.183684
"Kong Linghui"	0.18339
"Arnaud Di Pasquale"	0.182682
"Rainer Schuttler"	0.182401
"David Prinosil"	0.182235
"Leander Paes"	0.181804
"Juan Carlos Ferrero"	0.180316
"Justin Gimelstob"	0.180149
"Jansher Khan"	0.179318
"Li Fang"	0.179056
Siemerink	0.179018
"Sebastien Grosjean"	0.178529
"Jerome Golmard"	0.177464
"Karina Habsudova"	0.17688
"Richey Reneberg"	0.17603
"Karim Alami"	0.175789
"Henrieta Nagyova"	0.175677
"Stefan Edberg"	0.174563
"Vincent Spadea"	0.174364
Majoli	0.174127
"Heryanto Arbi"	0.173992
"Fernando Meligeni"	0.173407
"Tatiana Panova"	0.173181
Corretja	0.172573
"Sjeng Schalken"	0.17132
"Anne-Gaelle Sidot"	0.170999
Kuerten	0.170209
"Florencia Labat"	0.169691
"Miguel Indurain"	0.169167
"Daniel Nestor"	0.167579
"Hicham Arazi"	0.16736
Bruguera	0.167255
"Wang Liqin"	0.167193
"Jan-Michael Gambill"	0.167158
"Joko Suprianto"	0.166744
"Mikael Tillstrom"	0.165952
"Joannette Kruger"	0.164928
"Mariano Zabaleta"	0.164847
"Kimberly Po"	0.164231
"Jan-Ove Waldner"	0.164083
"Alex O'Brien"	0.164059
"Peter Rasmussen"	0.163716
"Christian Ruud"	0.162412
"Abraham Olano"	0.162386
"Brett Steven"	0.162068
Berasategui	0.161445
"American Andre Agassi"	0.161209
"Renzo Furlan"	0.160862
"Andres Gomez"	0.15997
"Fung Permadi"	0.159893
"Corina Morariu"	0.159422
"Sargis Sargsian"	0.158745
"Lleyton Hewitt"	0.158454
"Magnus Larsson"	0.158394
Tauziat	0.157535
"Anne Kremer"	0.155865
Enqvist	0.155183
"Mirjana Lucic"	0.154604
"Wayne Black"	0.154309
"Chris Woodruff"	0.153718
"Mark Knowles"	0.153572
"Mahesh Bhupathi"	0.153532
"Ge Fei"	0.153186
"Wang Nan"	0.153171
rios	0.153092
Hendrawan	0.15246
"Asa Carlsson"	0.152306
"Marcelo Filippini"	0.152178
Coetzer	0.151663
"Liu Guoliang"	0.151182
"Grant Stafford"	0.15104
"Dai Yun"	0.150927
"Olga Barabanschikova"	0.15049
"Franco Squillari"	0.150425
"Gianluca Pozzi"	0.150233
"Mia Audina"	0.148538
Henman	0.148227
"Miriam Oremans"	0.14765
"Jorgen Persson"	0.147313
"Taufik Hidayat"	0.147261
Bjorkman	0.147176
"Ramon Delgado"	0.146788
"Jeff Tarango"	0.146785
"Slava Dosedel"	0.145031
Ivanisevic	0.144982
"Guillaume Raoux"	0.144872
Pioline	0.144859
"Andrei Pavel"	0.144625
"Jonathan Stark"	0.143299
"Cara Black"	0.143248
Kournikova	0.143214
Agassi	0.143067
Ulihrach	0.142857
"Adrian Voinea"	0.142531
"Briton Greg Rusedski"	0.142375
"Helena Sukova"	0.141909
"Jiri Novak"	0.14134
"Xia Xuanze"	0.141283
"Li Ju"	0.141052
"Dong Jiong"	0.140384
"Tara Snyder"	0.140041
"Martin Damm"	0.138571
"Bohdan Ulihrach"	0.138077
Mantilla	0.138054
"Michael Tebbutt"	0.137709
"Daniel Vacek"	0.137081
"Elena Dementieva"	0.136798
Krajicek	0.136688
Rusedski	0.13586
Swardt	0.135665
"Jacco Eltingh"	0.135476
"Guy Forget"	0.135169
"Susi Susanti"	0.13489
"Steve Campbell"	0.134519
"Lori McNeil"	0.13435
Kroslak	0.134123
"Paola Suarez"	0.133965
Zvereva	0.133879
Clavet	0.133725
"Rita Grande"	0.133347
"Jean-Philippe Gatien"	0.132922
"Nicole Pratt"	0.132375
"Kim Clijsters"	0.132272
"Andreas Vinciguerra"	0.132207
"Max Mirnyi"	0.132141
"Marcos Ondruska"	0.1319
"Jelena Dokic"	0.131658
"Vladimir Samsonov"	0.131419
Sampras	0.13093
"Carlos Sainz"	0.130505
"Ong Ewe Hock"	0.130225
Sugiyama	0.130039
Halard-Decugis	0.129185
"Wang Chen"	0.128584
"Zhang Ning"	0.128469
"Paul Tergat"	0.128101
Rosset	0.127896
"Vince Spadea"	0.127554
"Xavier Malisse"	0.126816
"Maria Butyrskaya"	0.126739
"Chicago Fire"	0.125885
Capriati	0.125504
Waldner	0.125502
"Alexandra Fusai"	0.124911
Chang	0.124155
Korda	0.124138
"Andrew Ilie"	0.123689
"Sebastien Lareau"	0.123463
Kucera	0.122344
"Nicklas Kulti"	0.122249
"Garry Kasparov"	0.121904
"Deng Yaping"	0.121757
Serena	0.121005
Philippoussis	0.120709
Rafter	0.120628
Stoltenberg	0.120429
"Jimmy Connors"	0.120062
Mauresmo	0.120029
"Els Callens"	0.119891
Graf	0.119546
"Barbara Rittner"	0.119404
"Neville Godwin"	0.118344
Ferreira	0.117962
"Wang Tao"	0.117633
Testud	0.117553
"Ji Xinpeng"	0.117499
"Gong Ruina"	0.116719
Kiefer	0.116401
Top-seeded	0.115514
Huber	0.115077
"River Plate"	0.114962
"Anatoly Karpov"	0.114641
"Poul-Erik Hoyer-Larsen"	0.11439
"Colin McRae"	0.113927
"John McEnroe"	0.113374
"Liu Yong"	0.112975
"Bjorn Borg"	0.112466
"Shanghai Shenhua"	0.112339
"Yang Ying"	0.111897
Pierce	0.111851
"Deon Hemmings"	0.11185
Dragomir	0.11161
Susanti	0.110538
"Irina Slutskaya"	0.110366
"Alex Zanardi"	0.110048
"Eddie Cheever"	0.10985
"Todd Eldredge"	0.109319
Safin	0.109252
"Fernando Escartin"	0.109199
"Real Madrid"	0.109014
Nacional	0.108357
"MIka Hakkinen"	0.10802
"Catalina Cristea"	0.10784
Taufik	0.10727
"Dalian Wanda"	0.107165
"Moses Tanui"	0.106943
"Rika Hiraki"	0.105842
"Mats Wilander"	0.105603
Olympiakos	0.105579
"Johnny Tapia"	0.105309
"Zoran Primorac"	0.105298
"Derrick Adkins"	0.105007
"Kostya Tszyu"	0.104888
Palmeiras	0.104696
Cruzeiro	0.104376
"Buster Douglas"	0.104374
"Kristie Boogert"	0.104227
"Martina Navratilova"	0.103735
"Michelle Kwan"	0.103666
"John Van Lottum"	0.103522
"Fu Mingxia"	0.102509
"Svetlana Khorkina"	0.102226
"Li Jiajun"	0.102146
Edberg	0.101498
"Alexei Yagudin"	0.101172
"Weber State"	0.10105
"Jose Maria Olazabal"	0.10071
"Rashid Sidek"	0.100614
"Chinese Taipei"	0.100242
))
("Arantxa Sanchez-Vicario" (desc 6517.55) (sims
"Arantxa Sanchez Vicario"	0.490451
"Conchita Martinez"	0.4598
"Nathalie Tauziat"	0.420926
"Mary Pierce"	0.411605
"Anke Huber"	0.398127
"Iva Majoli"	0.394466
"Monica Seles"	0.369067
"Lindsay Davenport"	0.362959
"Amanda Coetzer"	0.360864
"Albert Costa"	0.357046
"Francisco Clavet"	0.344111
"Alberto Berasategui"	0.337855
"Felix Mantilla"	0.337849
"Alex Corretja"	0.337678
"Jana Novotna"	0.337014
"Irina Spirlea"	0.336089
"Sandrine Testud"	0.335232
"Dominique Van Roost"	0.33
"Carlos Moya"	0.313549
"Sergi Bruguera"	0.309508
"Carlos Costa"	0.305691
"Serena Williams"	0.305206
"Richard Krajicek"	0.30418
"Steffi Graf"	0.302372
"Albert Portas"	0.301563
"Chanda Rubin"	0.297932
"Gustavo Kuerten"	0.297748
"Thomas Enqvist"	0.297515
"Patty Schnyder"	0.295486
"Anna Kournikova"	0.295207
"Thomas Muster"	0.292304
"Venus Williams"	0.290146
"American Chanda Rubin"	0.289957
"Michael Chang"	0.289326
"American Lindsay Davenport"	0.285842
"Julie Halard-Decugis"	0.284517
"Goran Ivanisevic"	0.281229
"Yevgeny Kafelnikov"	0.280013
"Wayne Ferreira"	0.277831
"Barbara Paulus"	0.277105
"Martina Hingis"	0.273861
"Ruxandra Dragomir"	0.271547
"Jonas Bjorkman"	0.267652
"Barbara Schett"	0.264336
"Marc Rosset"	0.264114
"Galo Blanco"	0.263762
"Kimiko Date"	0.263179
"Alberto Costa"	0.263174
"Magnus Norman"	0.262563
"Andrei Medvedev"	0.261555
"Patrick Rafter"	0.261551
"Elena Likhovtseva"	0.261194
"Ai Sugiyama"	0.260389
"Javier Sanchez"	0.259928
"Marcelo Rios"	0.259354
"Natasha Zvereva"	0.258006
"Mariano Puerta"	0.255603
"Lisa Raymond"	0.255071
"Jason Stoltenberg"	0.254965
"Silvia Farina"	0.254443
"Tamarine Tanasugarn"	0.25343
"Jennifer Capriati"	0.253293
"Cedric Pioline"	0.250484
"Mary Joe Fernandez"	0.249465
"Amy Frazier"	0.249343
"Tim Henman"	0.248791
"Andre Agassi"	0.246735
"Petr Korda"	0.246163
"Sabine Appelmans"	0.244548
"Nathalie Dechy"	0.242128
"South African Amanda Coetzer"	0.240043
"Amelie Mauresmo"	0.239108
"Tommy Haas"	0.236597
"Russian Yevgeny Kafelnikov"	0.236401
"Thomas Johansson"	0.235339
"Boris Becker"	0.234664
"Magui Serna"	0.234178
"Todd Martin"	0.233835
"Fabrice Santoro"	0.233717
"Byron Black"	0.233464
"Magnus Gustafsson"	0.233367
"Greg Rusedski"	0.231826
"Mark Philippoussis"	0.229925
"Jim Courier"	0.229008
"Magdalena Maleeva"	0.228415
"Scott Draper"	0.228019
"MaliVai Washington"	0.227269
Sanchez-Vicario	0.226141
"Marat Safin"	0.225332
"Mark Woodforde"	0.224736
"Younes El Aynaoui"	0.223527
"Judith Wiesner"	0.221588
"Karol Kucera"	0.221221
"Kenneth Carlsen"	0.219161
Siemerink	0.218721
"Brenda Schultz-McCarthy"	0.217998
"Sanchez Vicario"	0.216297
"Nicolas Kiefer"	0.21452
"Sarah Pitkowski"	0.214201
"Karim Alami"	0.212444
"Pat Rafter"	0.212048
"Arnaud Boetsch"	0.210193
"Yayuk Basuki"	0.209304
Majoli	0.208694
Kafelnikov	0.207523
"Juan Antonio Marin"	0.207444
"Peter Nicol"	0.207102
"Pete Sampras"	0.206541
"Todd Woodbridge"	0.206525
"Hernan Gumy"	0.20492
"Filip Dewulf"	0.203943
"Michael Stich"	0.203131
"Leander Paes"	0.203047
"Australian Mark Philippoussis"	0.202752
"Paul Haarhuis"	0.201981
"Rainer Schuttler"	0.20157
"Dominik Hrbaty"	0.201122
"Joannette Kruger"	0.200853
"Richard Fromberg"	0.199912
"Mariano Zabaleta"	0.198821
"Andrea Gaudenzi"	0.197372
"Julian Alonso"	0.193743
"Nicolas Lapentti"	0.193267
"Hicham Arazi"	0.190981
Seles	0.190454
"Roger Federer"	0.189655
"American Michael Chang"	0.189602
"Sargis Sargsian"	0.189515
"Fernando Meligeni"	0.189461
Moya	0.189275
"Anne-Gaelle Sidot"	0.189076
"David Prinosil"	0.185536
"Andrei Pavel"	0.18543
"Vincent Spadea"	0.183768
Coetzer	0.183477
"Juan Carlos Ferrero"	0.182465
"Gong Zhichao"	0.18242
"Nicolas Escude"	0.182345
"Peter Gade Christensen"	0.181477
Berasategui	0.180945
"Ye Zhaoying"	0.180919
Novotna	0.180289
"Kong Linghui"	0.180042
"Li Fang"	0.179945
"Arnaud Di Pasquale"	0.17965
"American Pete Sampras"	0.1795
"Olga Barabanschikova"	0.179423
"Richey Reneberg"	0.1791
"Sjeng Schalken"	0.179034
Davenport	0.179019
"Mirjana Lucic"	0.178759
"American Todd Martin"	0.17859
"Tara Snyder"	0.177732
Sugiyama	0.175958
Corretja	0.175122
"Mark Knowles"	0.175066
"Rodney Eyles"	0.174922
"Karina Habsudova"	0.172666
"Mahesh Bhupathi"	0.172092
Pioline	0.171615
"Jan-Michael Gambill"	0.171127
"Christian Ruud"	0.171105
"Elena Dementieva"	0.171006
"Alex O'Brien"	0.170894
"Steve Campbell"	0.170578
"Asa Carlsson"	0.169897
"Jerome Golmard"	0.16912
"Naoko Sawamatsu"	0.167849
"Gianluca Pozzi"	0.167451
"Ramon Delgado"	0.167128
"Arnaud Clement"	0.166898
"Tatiana Panova"	0.166737
"Davide Sanguinetti"	0.166677
"Wayne Black"	0.166022
"Sebastien Grosjean"	0.165665
Stoltenberg	0.16559
"Andres Gomez"	0.165433
"Grant Stafford"	0.165268
"Anne Kremer"	0.165174
"Jeff Tarango"	0.164377
"Camilla Martin"	0.164169
Henman	0.164139
"Marcos Ondruska"	0.163768
"Florencia Labat"	0.16366
"Chris Woodruff"	0.163265
Kuerten	0.162079
"Kimberly Po"	0.161792
"Lleyton Hewitt"	0.161773
Hingis	0.161664
"Cara Black"	0.161586
Krajicek	0.161576
Dragomir	0.161501
"Rita Grande"	0.161382
"Henrieta Nagyova"	0.160669
"Brett Steven"	0.16012
"Marcelo Filippini"	0.159813
"Miriam Oremans"	0.159112
Kournikova	0.158813
Halard-Decugis	0.158386
"Paola Suarez"	0.157831
"Jansher Khan"	0.157364
"Joko Suprianto"	0.157297
Mantilla	0.157296
Enqvist	0.156943
"Mikael Tillstrom"	0.156803
"Franco Squillari"	0.15643
"Guillaume Raoux"	0.154744
"Adrian Voinea"	0.154719
"Renzo Furlan"	0.154387
"Jonathan Stark"	0.154235
"Martin Damm"	0.154117
Ulihrach	0.153888
"Jan-Ove Waldner"	0.153502
"Magnus Larsson"	0.152927
Clavet	0.151808
Bruguera	0.149042
"American Andre Agassi"	0.14898
"Miguel Indurain"	0.148488
"Daniel Nestor"	0.148189
"Jacco Eltingh"	0.14813
rios	0.147858
Swardt	0.147169
Ivanisevic	0.146933
"Liu Guoliang"	0.146744
"Wang Nan"	0.145409
"Stefan Edberg"	0.145216
"Andreas Vinciguerra"	0.144167
"Peter Rasmussen"	0.144158
Schett	0.143728
"Xavier Malisse"	0.143304
Mauresmo	0.14285
Bjorkman	0.142833
"Alexandra Fusai"	0.142763
"Andrew Ilie"	0.141807
Tauziat	0.141647
"Heryanto Arbi"	0.14151
"Sebastien Lareau"	0.141036
"Corina Morariu"	0.141033
Agassi	0.140879
"Nicole Pratt"	0.140318
Kucera	0.140217
"Abraham Olano"	0.140101
"John Van Lottum"	0.139392
"Mia Audina"	0.139366
"Wang Liqin"	0.138095
"Michael Tebbutt"	0.137291
"Jiri Novak"	0.136908
"Daniel Vacek"	0.136706
"Bohdan Ulihrach"	0.135616
"Justin Gimelstob"	0.135101
"Catalina Cristea"	0.134934
"Neville Godwin"	0.134189
Rosset	0.134176
Rusedski	0.134034
"Vince Spadea"	0.133823
Hendrawan	0.133764
Schnyder	0.133609
"Wang Chen"	0.132947
"Els Callens"	0.132439
"Fung Permadi"	0.132253
"Ge Fei"	0.132241
"Li Ju"	0.131438
"Jelena Dokic"	0.13133
Sampras	0.131156
"Johnny Tapia"	0.130016
"Guy Forget"	0.129785
"Briton Greg Rusedski"	0.129663
Olympiakos	0.12963
"Taufik Hidayat"	0.129629
Huber	0.129481
"Dong Jiong"	0.129196
"Slava Dosedel"	0.128662
"River Plate"	0.128574
Ferreira	0.128458
Serena	0.127904
Susanti	0.127705
"Susi Susanti"	0.127598
Palmeiras	0.127305
"Kristie Boogert"	0.126366
Testud	0.126306
"Helena Sukova"	0.124884
"Xia Xuanze"	0.124834
"Kim Clijsters"	0.124512
Korda	0.12429
"Jimmy Connors"	0.123664
Kiefer	0.122845
Spirlea	0.122365
"Deon Hemmings"	0.122151
Kroslak	0.121906
"Dai Yun"	0.121382
"Real Madrid"	0.120699
"Chicago Fire"	0.120431
"Paul Tergat"	0.120277
"Martina Navratilova"	0.1198
Capriati	0.119736
Waldner	0.11932
Likhovtseva	0.118715
"Irina Slutskaya"	0.118702
"Maria Butyrskaya"	0.11849
"Ong Ewe Hock"	0.118418
Philippoussis	0.118344
Dosedel	0.118157
Gustafsson	0.116823
"Lori McNeil"	0.116758
"Jean-Philippe Gatien"	0.116473
"Anatoly Karpov"	0.115811
Raoux	0.115808
"Liu Yong"	0.115748
"Rika Hiraki"	0.113996
Safin	0.113935
"Paul Goldstein"	0.113209
"Barbara Schwartz"	0.113131
"Shanghai Shenhua"	0.112974
"Zhang Ning"	0.112921
"John McEnroe"	0.11203
"Garry Kasparov"	0.111893
Puerta	0.111882
Pierce	0.111339
Rafter	0.110941
Graf	0.110594
"Nicklas Kulti"	0.110234
"Carlos Sainz"	0.109876
Chang	0.109843
Zvereva	0.109562
"Deng Yaping"	0.109433
Independiente	0.108735
"Van Roost"	0.108535
"Kostya Tszyu"	0.107894
"Jorgen Persson"	0.107175
Nacional	0.107014
Hrbaty	0.106338
"Vladimir Samsonov"	0.10632
Obilic	0.105895
"Dalian Wanda"	0.10587
Brondby	0.105817
Santoro	0.105633
"Barbara Rittner"	0.105419
Edberg	0.105359
Lapentti	0.105137
"Weber State"	0.104655
Zamalek	0.104493
"Max Mirnyi"	0.104287
"Fernando Escartin"	0.10426
"Alexandra Stevenson"	0.103767
Top-seeded	0.10367
"Zoran Primorac"	0.103653
"Buster Douglas"	0.102895
"Kveta Hrdlickova"	0.102578
"Bjorn Borg"	0.102474
Cruzeiro	0.102458
Pavel	0.101603
Gremio	0.101192
"Southwest Missouri State"	0.101148
corinthian	0.100605
"Eddie Cheever"	0.100097
))
(ARATS (desc 3792.93) (sims
CPAFFC	0.219252
"Association for Relations Across"	0.218225
ACFTU	0.180969
CCF	0.158129
"U.S. Soccer Federation"	0.155208
SPC	0.150055
ACWF	0.149185
SEF	0.145908
"Chinese Olympic Committee"	0.140237
AmCham	0.135324
CCPIT	0.134525
"Olympic Council of Asia"	0.120174
CAS	0.118972
Velayati	0.118615
OCA	0.116783
"Israeli Foreign Ministry"	0.114262
"EU Commission"	0.112125
CNTA	0.111447
CNOOC	0.111352
ICBC	0.110682
CIRC	0.10974
"China Society"	0.106251
IPU	0.1046
CFA	0.103946
"All-China Youth Federation"	0.10332
"Chinese NPC"	0.101619
"Defense Agency"	0.101415
"Australian Olympic Committee"	0.101275
KONI	0.10074
CNPC	0.0998219
KPA	0.0991425
Eximbank	0.0981597
Kasoulides	0.0977502
"Wang Daohan"	0.0971582
CMAG	0.0967557
"Chinese government"	0.0963973
BOC	0.0961484
Jayakumar	0.0950409
CAA	0.0942321
Ikeda	0.0937625
"European Commission"	0.0924807
PBSI	0.0921368
SDB	0.0918067
"All-China Journalists Association"	0.0917444
Rong	0.0914356
CASS	0.0907872
CCB	0.0901331
EC	0.0898366
BOI	0.0897528
SCLC	0.0896929
Phieu	0.0895659
PICC	0.0894349
CPPCC	0.0893034
ICA	0.0891057
"Association for Friendship"	0.0886404
CPP	0.0885847
"China Council"	0.0883526
HKFA	0.0879972
Klima	0.0878084
NKP	0.0866551
UAW	0.0858084
"Organizing Committee"	0.0855543
CITIC	0.085487
WIPO	0.0853813
Clerides	0.0853011
SDPC	0.0846828
INEC	0.0846481
"Beijing Municipal Government"	0.0846287
Wada	0.0844503
ITC	0.083992
"U.S. Olympic Committee"	0.0836788
FSA	0.0835378
"Olympic Committee"	0.0831541
ZCTU	0.0831123
"CPPCC National Committee"	0.0830513
"Arab League"	0.0826331
"Allied Pilots Association"	0.0824504
"Pacific Exchange"	0.0823204
Laban	0.0823146
"U.S. Chamber of Commerce"	0.0822714
"Asian Football Confederation"	0.0821875
"Hong Kong Federation"	0.0817129
Zou	0.0816727
"International Ski Federation"	0.0816272
UNIDO	0.0813534
Leghari	0.080989
SFC	0.0807216
ICRC	0.0807038
"Straits Exchange Foundation"	0.0806321
Rodionov	0.0802715
"South Pacific Forum"	0.0798946
FIBA	0.0798777
"NPC Standing Committee"	0.0798473
"World Jewish Congress"	0.0798424
SDP	0.0795275
Komura	0.0792461
Annan	0.07923
"Medical Society"	0.0790356
"Turkish Foreign Ministry"	0.078909
CMA	0.0789078
CSA	0.0787697
"Banking Committee"	0.0786702
"Con Ed"	0.0785954
"Electoral Commission"	0.0785417
"French Foreign Ministry"	0.0783559
Kyprianou	0.0782253
Azad	0.0779152
NRC	0.0777274
"Xinhua News Agency Hong Kong Branch"	0.0772226
Abdel-Meguid	0.0771203
IAI	0.0767635
DLC	0.0767628
"Secretary-General Boutros Boutros-Ghali"	0.0767597
Deuba	0.0767425
Bridgestone/Firestone	0.0766892
SSB	0.0763733
Jovanovic	0.0763204
"Iranian Foreign Ministry"	0.0762964
UNAMET	0.0762196
Brittan	0.0761733
USTA	0.075508
Marketspan	0.0754864
FIFA	0.0753293
TDC	0.0752889
Kanu	0.0752746
NSC	0.0752279
"Senate Governmental Affairs Committee"	0.0749608
ANC	0.0749494
Stoyanov	0.0749077
CEC	0.0748871
"China Youth Development Foundation"	0.0747961
EBRD	0.0747625
CSRC	0.0747587
"Thai Foreign Ministry"	0.0747357
Aziz	0.0745464
"British Foreign Office"	0.074012
NARAL	0.074007
"Liberal Democratic Party"	0.0740033
"Red Crescent"	0.073924
Kiribati	0.0739156
UCI	0.0738801
CWA	0.0737222
"Secretary General Esmat Abdul-Meguid"	0.0736773
NPC	0.073645
"International Skating Union"	0.0734852
WEF	0.0734265
CAAC	0.0733801
Meles	0.0733414
NASD	0.0732312
"World Bank"	0.0730994
Chirac	0.0729079
"U.S. Fed"	0.0727849
Meguid	0.072443
"All-China Federation"	0.0724155
"Red Cross Society"	0.0723956
"Association of Flight Attendants"	0.0723835
"Goh Chok Tong"	0.0722665
"Commerce Ministry"	0.072232
"International Maritime Organization"	0.0721544
ADB	0.0720958
Moratinos	0.0720477
"U.S. Administration"	0.0719603
"Badminton Association of Indonesia"	0.07191
"Xinhua News Agency"	0.0718668
"planning board"	0.0718166
MOFTEC	0.0717297
ECA	0.0716264
MSF	0.0716154
"Salt Lake Organizing Committee"	0.0716014
DAP	0.071575
Pustovoitenko	0.071431
"de Charette"	0.0713738
NDP	0.071102
"Labor office"	0.0710938
Shamshad	0.070995
"Civil Aviation Authority"	0.0708783
"Council of State"	0.0708208
OIC	0.0708122
"Cambodian People's Party"	0.0707252
"Secretary General Esmat Abdel-Meguid"	0.0706608
"Russian Defense Ministry"	0.0705297
IAEA	0.0705282
Totalfina	0.0705095
AOC	0.0705088
IEC	0.0703595
CCM	0.0703567
Ruehe	0.0703132
Qiao	0.0702052
"Board of Supervisors"	0.0702023
"Con Edison"	0.0701803
"CBS Sports"	0.0700702
IMG	0.0700096
Histadrut	0.0696959
"Housing Authority"	0.0695391
"U.S. Defense Department"	0.06951
"Ford Motor Company"	0.0694471
NTSB	0.0694363
CDU	0.0693193
KDP	0.0693009
"American Association of Health Plans"	0.0692367
))
(Arazi (desc 1585.81) (sims
Spirlea	0.168083
Guerrouj	0.161288
Berasategui	0.160773
Sugiyama	0.153136
Stoltenberg	0.151499
Coetzer	0.143267
Clavet	0.128895
Gustafsson	0.128735
Anees	0.125576
Santoro	0.124991
Edberg	0.118286
Prinosil	0.118076
Lapentti	0.115434
Tauziat	0.114802
Schett	0.114515
Bruguera	0.11332
Habsudova	0.112911
Ilie	0.111772
Schnyder	0.1113
Testud	0.111072
Haarhuis	0.110218
Ulihrach	0.108355
Raoux	0.107852
Dosedel	0.107796
Spadea	0.107701
Kiefer	0.107525
Puerta	0.10567
Medvedev	0.104757
Lindland	0.103728
Bastia	0.10324
Corretja	0.102756
Lareau	0.102259
Meligeni	0.10213
Mantilla	0.101445
Mauresmo	0.100832
"Van Roost"	0.100444
Kuerten	0.0998377
Swardt	0.0993254
Capriati	0.0991547
Bjorkman	0.0990879
Siemerink	0.0987014
Majoli	0.0980862
"Answer Lively"	0.0975464
Sidot	0.0974504
Kremer	0.0968797
"Favorite Trick"	0.0968724
Lucic	0.0951329
Gimelstob	0.0946076
Ivanisevic	0.0944473
Rusedski	0.0940924
Likhovtseva	0.0936609
Henman	0.0936364
Kucera	0.0925994
Dragomir	0.0925033
Vacek	0.0920884
Zvereva	0.0918891
Damm	0.0913973
Gambill	0.0911225
"American Chanda Rubin"	0.0901459
Huber	0.0895224
Pioline	0.0895079
Ferreira	0.089495
"Gianluca Pozzi"	0.0894323
Schalken	0.089002
"Marc Rosset"	0.0879728
Philippoussis	0.0877658
Kafelnikov	0.0872365
"American Michael Chang"	0.0871402
"Sebastien Grosjean"	0.0869171
"Fighting Irish"	0.0859579
Haas	0.0858912
Sanchez-Vicario	0.0849518
"Younes El Aynaoui"	0.084293
Tarango	0.0838632
Larsson	0.083753
Stolle	0.0834698
"Scott Draper"	0.0834101
Suarez	0.0831974
"Li Fang"	0.0828227
Enqvist	0.0827734
Susanti	0.0825805
Safin	0.0821537
"Albert Costa"	0.0813649
"Alberto Costa"	0.0808332
"Arnaud Clement"	0.0808302
Woodforde	0.0807011
Chilavert	0.0805938
Kroslak	0.0803012
Frenchwoman	0.0801658
Johansson	0.0796447
"Karim Alami"	0.079541
Daylami	0.0782953
"Worldly Manner"	0.0782028
Deportivo	0.0779874
Kournikova	0.0777155
Seles	0.0772034
Artax	0.0771943
Gaudenzi	0.0768529
"Arnaud Di Pasquale"	0.0767757
Halard-Decugis	0.0767662
Penarol	0.0762283
Behrens	0.0758905
Pavel	0.0758517
"Paul Goldstein"	0.0757826
Hongyuan	0.0756333
"Joannette Kruger"	0.0755586
Wilander	0.0749011
"Barbara Schwartz"	0.0739658
"Sergi Bruguera"	0.0737786
"Sanchez Vicario"	0.0732077
Novotna	0.0719246
Dutchman	0.0715376
Moya	0.0706924
Nacional	0.0706401
Korda	0.0704066
"Scotty Bowman"	0.0702311
"Slovak Republic"	0.0701948
Rosset	0.0700392
"Forest Camp"	0.0692343
Agassi	0.0691132
Krajicek	0.0686501
"Guillaume Raoux"	0.0686396
rios	0.0684066
"Kenneth Carlsen"	0.068332
"Jonas Bjorkman"	0.0682062
Farina	0.0680947
Huskers	0.0679589
"Mark Knowles"	0.0678548
"Hicham Arazi"	0.0676519
Valhol	0.0672565
"Andrei Pavel"	0.0671966
"Australian Mark Philippoussis"	0.0670862
Ankiel	0.0669858
"Marcelo Filippini"	0.0669593
"Billy Andrade"	0.0668365
AEK	0.0664362
"Red Star Belgrade"	0.0664306
"Serena Williams"	0.0663732
Taufik	0.0660658
Po	0.0660019
Chilukki	0.0659898
"Wayne Ferreira"	0.0656352
Goran	0.0654971
Marichal	0.0654548
"Anke Huber"	0.0654016
Wondertross	0.0653354
"Scarlet Knights"	0.0651071
Tomba	0.0651065
Costa	0.0649698
Candiotti	0.0649596
Hrbaty	0.0647255
Isringhausen	0.0646242
Gremio	0.0643146
"Amy Frazier"	0.0643044
"Julie Halard-Decugis"	0.0642496
"Jennifer Capriati"	0.0642178
Woodruff	0.0641792
Hagi	0.0641168
"Richard Hatch"	0.063933
Serna	0.0638097
Gooden	0.063776
Coulthard	0.0635979
Menifee	0.0634891
Hewitt	0.0634053
Clement	0.0633546
"Kim Clijsters"	0.0633312
Zamalek	0.0632056
Sautin	0.063099
Rafter	0.0628188
"Gustavo Kuerten"	0.0627354
Jansher	0.0626721
"Nittany Lions"	0.0624959
Karlsson	0.0624875
Wolfpack	0.0623494
"Leander Paes"	0.0622556
"Fusaichi Pegasus"	0.0621046
"Chanda Rubin"	0.0619734
"Banshee Breeze"	0.0617949
Nicol	0.0617175
Andrei	0.061391
"Lleyton Hewitt"	0.0612784
"Goran Ivanisevic"	0.0612147
Arthurs	0.0609799
"Arantxa Sanchez-Vicario"	0.0609675
Wolfsburg	0.0608157
"Nathalie Dechy"	0.0606784
Vasco	0.0606161
Roux	0.0605031
"Nicole Pratt"	0.0603594
Dokic	0.0603357
"Rita Grande"	0.0598919
"Nicolas Kiefer"	0.0598507
"Desert Hero"	0.0597777
"Andrew Ilie"	0.059617
McEnroe	0.0596163
"River Plate"	0.059502
"Tommy Haas"	0.0594475
"Skip Away"	0.0593083
Butyrskaya	0.0591907
"Lisa Raymond"	0.0590482
))
(arbiter (desc 9968.47) (sims
arbitrator	0.0908541
guarantor	0.0864609
Guardian	0.0831255
"fall guy"	0.0769653
mediator	0.0728916
custodian	0.0716596
watchdog	0.0696826
facilitator	0.0685445
protector	0.0682691
overseer	0.0666229
exemplar	0.0652473
embodiment	0.0623125
middleman	0.0622328
enforcer	0.0614688
matchmaker	0.0612511
kingmaker	0.0604875
troubleshooter	0.0601197
peacemaker	0.0598331
epitome	0.0586144
gatekeeper	0.0584289
"role model"	0.0575141
"elder statesman"	0.0573004
savior	0.0565089
"decision maker"	0.0560465
"law of the land"	0.0557485
motivator	0.0538147
determinant	0.0537606
purveyor	0.0536854
gadfly	0.0529623
evaluator	0.0527648
go-between	0.0526854
steward	0.0525803
interpreter	0.05227
"guinea pig"	0.0515904
"guardian angel"	0.0513677
repository	0.0510922
"driving force"	0.0507653
guidepost	0.0500347
referee	0.0497211
affirmation	0.0494284
censor	0.0493027
bastion	0.0489962
"power broker"	0.0489847
outcast	0.048426
bearer	0.0484036
"good person"	0.048236
"focal point"	0.0481256
hotbed	0.0478188
"lightning rod"	0.0477501
"financial center"	0.0476424
chronicler	0.0474951
"safety valve"	0.0473901
negation	0.0472603
pallbearer	0.046908
battleground	0.0463983
jurist	0.0463883
arranger	0.0463709
privy	0.0463279
"punching bag"	0.0463212
optimist	0.0461037
crux	0.0460583
heretic	0.0459976
nicety	0.0459743
"trump card"	0.0456409
newspaperman	0.0453673
abdication	0.0450277
"proving ground"	0.0450167
criterion	0.044843
modicum	0.0448364
yardstick	0.0447316
hub	0.044731
laughingstock	0.0446515
proponent	0.0442409
cog	0.0438878
guru	0.043754
pawn	0.0436678
"center of attention"	0.0434201
closers	0.0433867
cornerstone	0.0432797
catalyst	0.0430386
bellwether	0.043024
"fundamental principle"	0.0430114
benefactor	0.0429546
superpower	0.0428455
agnostic	0.042802
intermediary	0.0427884
thorn	0.042753
notions	0.0427172
"commander in chief"	0.0426858
"altar boy"	0.0426816
caretaker	0.0426542
outsider	0.042556
backbone	0.0425413
"spiritual leader"	0.0424727
despot	0.0422253
apotheosis	0.0422005
vindication	0.0418492
"legal tender"	0.0418349
torchbearer	0.0418328
reflection	0.0417049
beacon	0.0416256
vagary	0.041508
"traffic cop"	0.0414685
moderator	0.041461
realist	0.0414518
messenger	0.0413996
emblem	0.0413544
stepchild	0.0413163
voyeur	0.0412652
Kurd	0.0411264
validation	0.0407719
mentor	0.0407588
paragon	0.0407566
"whipping boy"	0.0407226
heir	0.0407046
Maven	0.0406367
"powder keg"	0.0405923
surrogate	0.0405253
purist	0.0405021
incubator	0.0404953
avatar	0.0403384
essence	0.0403378
"stumbling block"	0.0403278
"front man"	0.040251
"great power"	0.0402291
"melting pot"	0.0402237
thinker	0.0401883
reformer	0.0401598
acquirer	0.0400679
))
(arbitrage (desc 2543.1) (sims
"futures trading"	0.101181
triage	0.0924471
"short selling"	0.0904745
"investment banking"	0.0891675
"tax avoidance"	0.0878533
"bond trading"	0.0861165
derivative	0.0842388
hedging	0.0759409
"securities trading"	0.0747316
reinsurance	0.0747087
"insider trading"	0.0706546
dodging	0.0690267
entrepot	0.0681035
Trucking	0.0678752
squatting	0.0678735
"damage control"	0.0654931
"drug sale"	0.0650448
telemarketing	0.0646516
follow-through	0.0629139
B@B	0.0615859
"precious metal"	0.0615714
confectionery	0.0610582
"business development"	0.0601102
"class warfare"	0.059656
leasing	0.0588368
"chain store"	0.0587887
after-hours	0.0574272
trickery	0.0571008
"black market"	0.0568863
disinformation	0.0568795
business-to-business	0.0566596
shipbuilding	0.0564995
"Hail Mary"	0.0561725
"specialty chemical"	0.0554366
Non-governmental	0.0552679
barter	0.055107
evasion	0.0548563
brinksmanship	0.0544238
three-point	0.0539298
"tax shelter"	0.0537832
shareholding	0.0530428
"drug traffic"	0.0523663
networking	0.0521519
"direct action"	0.0521507
self-censorship	0.0520534
transshipment	0.0516304
branding	0.0511287
PR	0.0510636
dot.com	0.0509154
"venture capital"	0.0508551
seesaw	0.0505628
retailing	0.0505296
flotation	0.0505026
"character assassination"	0.050257
"leveraged buyout"	0.0501663
dispersion	0.0501112
"money changer"	0.0497236
"junk bond"	0.0496223
counterterrorism	0.0495037
"Kung Fu"	0.0494597
refining	0.0494116
extortion	0.049411
"equity market"	0.0492638
enrichment	0.0491693
merchandising	0.0491069
"consumer product"	0.0490956
"billion dollar"	0.0488596
export-oriented	0.0483409
"mail order"	0.048129
"debt problem"	0.0480712
"money market"	0.0480048
"product development"	0.0479958
evaders	0.0478183
fourth-down	0.0477414
"social contract"	0.047731
foreign-funded	0.0477266
inbounds	0.0476765
"investment trust"	0.0476608
"Vanguard Index @@@"	0.0476569
"cosmetic surgery"	0.0475653
one-upmanship	0.0474645
forgery	0.0473967
misjudgments	0.047297
special-teams	0.0470952
third-down	0.0470357
brinkmanship	0.0468641
repurchase	0.0467868
"money laundering"	0.0465313
Microelectronics	0.0460797
fact-finding	0.0460373
"sex act"	0.0460163
"organized crime"	0.0459958
aerospace	0.0456566
Transamerica	0.0455896
"farm machine"	0.0455678
issuers	0.0455491
buyback	0.0455375
"bond market"	0.0455102
refrigeration	0.0452646
thievery	0.0452325
"maritime law"	0.0452087
deferral	0.0451339
"life science"	0.0450722
yoga	0.0450015
joint-ventures	0.0448189
"information system"	0.0447167
avionics	0.044688
floatation	0.0446015
overtaking	0.0443599
remittance	0.0443583
four-point	0.0441059
Renminbi	0.0439752
gunrunning	0.0438873
decoding	0.0438443
"fiber optics"	0.0438203
computation	0.0438175
"double talk"	0.0437648
"first pole"	0.0436482
deception	0.0435538
abatement	0.0433417
computing	0.0431361
fallback	0.0430233
realignments	0.0429651
Qigong	0.0428619
servicing	0.042814
Gaming	0.0427744
"price fluctuation"	0.0427317
e-business	0.0426551
Concealment	0.0426513
prostitution	0.0426213
"life insurance"	0.0424068
mega-mergers	0.0423475
self-help	0.0423031
"tax evasion"	0.0422356
Boller	0.0422346
"sexual activity"	0.042144
escapism	0.0421119
contrarian	0.0420984
chokehold	0.0420397
influence-peddling	0.0419411
favoritism	0.0418838
up-and-down	0.0415463
"sleight of hand"	0.0413655
simplification	0.0412004
"Washington Bureau"	0.0410289
catering	0.0409419
vending	0.0407604
DSE	0.0407106
p.r	0.0406748
withholding	0.0405762
racketeer	0.040546
macroeconomics	0.0404929
outflow	0.0402217
disorganization	0.0400938
))
(arbitrariness (desc 1228.27) (sims
incongruity	0.0838499
randomness	0.0835194
permissiveness	0.0831684
usurpation	0.0764692
suddenness	0.0762451
impossibility	0.0724174
ordinariness	0.070129
perpetuation	0.0666427
harshness	0.0662256
particularity	0.0626215
immensity	0.0625858
rowdiness	0.0617534
pillage	0.0615338
nonchalance	0.0541076
elation	0.0532675
rightness	0.0522313
diminution	0.0519849
unfairness	0.051677
gentrification	0.0509197
emotionalism	0.0500837
Balkanization	0.0499123
"sum total"	0.0488177
singularity	0.0480048
stupidity	0.0478343
nuttiness	0.0477403
AMT	0.0474176
inkling	0.0472472
misjudgments	0.046579
fulfilment	0.0464181
renaming	0.0462332
thievery	0.0452794
unpopularity	0.0452487
denigration	0.044924
shallowness	0.0448151
invincibility	0.0446736
vastness	0.0446687
serendipity	0.0446205
overvaluation	0.0443212
"vicious cycle"	0.0439851
electability	0.0437626
permanence	0.0432655
enslavement	0.0432095
inhumanity	0.0424842
unraveling	0.0424697
exhilaration	0.0424522
audacity	0.0423789
malevolence	0.0423494
hooliganism	0.0423356
hopelessness	0.042181
goofiness	0.0419709
subversion	0.0419684
banditry	0.041948
meanness	0.041878
naturalness	0.0418344
disorganization	0.0417518
"joie de vivre"	0.0414829
inequity	0.0414825
passivity	0.0413852
finality	0.0413823
tripling	0.0411372
perversion	0.0410466
possiblity	0.0402337
silliness	0.040207
pettiness	0.0401714
obeisance	0.0401205
tardiness	0.0400389
))
(arbitration (desc 25155.8) (sims
mediation	0.148318
consultation	0.0990467
negotiation	0.0962068
arbitrator	0.092346
settlement	0.0853016
dialog	0.0846257
litigation	0.0845975
disbarment	0.0835628
dialogue	0.0828862
compromise	0.0789286
"International Court of Justice"	0.0783777
extradition	0.0778352
"World Court"	0.0749412
"Court of Arbitration"	0.073914
referendum	0.0737919
clemency	0.0736624
compensation	0.0728466
asylum	0.0721841
reimbursement	0.0720489
"bankruptcy protection"	0.0717268
verification	0.0701128
evaluation	0.0699843
amnesty	0.0687165
payment	0.0684207
refund	0.0681538
restitution	0.067937
forfeiture	0.067747
"summary judgment"	0.0675961
demilitarization	0.0674037
repatriation	0.0673289
rehearing	0.0671436
deportation	0.0667693
resolution	0.0667246
intervention	0.0666979
mistrial	0.0666491
procedure	0.0658426
withdrawal	0.063915
removal	0.0638906
bankruptcy	0.0633159
liquidation	0.0632395
cooperation	0.0630202
registration	0.0629196
testing	0.0628339
inspection	0.0626644
WTO	0.0623068
adjudication	0.0622244
financing	0.0621152
reorganization	0.0619122
deliberation	0.0617015
ruling	0.0615877
sanction	0.0615023
disarmament	0.0614008
divorce	0.0611957
regulation	0.0611715
cease-fire	0.0611099
discussion	0.0610081
prosecution	0.0609921
diplomacy	0.060952
"House of Lords"	0.0608625
bidding	0.0606827
"federal court"	0.060288
annulment	0.0602689
parole	0.0602666
adoption	0.0599916
"lower court"	0.0599223
ceasefire	0.0597542
Dismissal	0.0597223
extension	0.0596379
solution	0.0596018
protection	0.0595721
"death penalty"	0.0591937
counseling	0.059097
legislation	0.0590063
oversight	0.0590019
ratification	0.0589891
coordination	0.0589272
"World Trade Organization"	0.0587787
audit	0.0582874
investigation	0.0581594
supervision	0.0581551
Liberalization	0.0581454
accreditation	0.0580872
plebiscite	0.0578597
certification	0.0578459
hearing	0.0578236
suspension	0.0576859
assistance	0.0574894
inquiry	0.0573619
visitation	0.0573011
taxation	0.0572681
reinstatement	0.0568503
"background check"	0.0567452
retirement	0.056743
insurance	0.0567101
revision	0.056446
"family planning"	0.0563211
waiver	0.0562478
revocation	0.0561045
"military action"	0.0555547
citizenship	0.055541
decertification	0.0554069
"wage increase"	0.0553491
reduction	0.054983
NLRB	0.0549128
overtime	0.0545627
approval	0.054472
injunction	0.0543241
"conference committee"	0.0543019
enforcement	0.0542344
pardon	0.053958
lawsuit	0.0538294
reparation	0.0535972
"salary cap"	0.0534999
conciliation	0.0534864
autonomy	0.0533842
mechanism	0.053375
deployment	0.0532774
subsidy	0.0532313
participation	0.0532243
pullout	0.0530943
Promotion	0.0530824
Cessation	0.0530283
exemption	0.0530153
censure	0.0529427
moratorium	0.0526944
"out-of-court settlement"	0.052658
"tax break"	0.0523567
assessment	0.0523161
funding	0.0522087
arrangement	0.0522067
"work stoppage"	0.0521484
punishment	0.0520816
buyout	0.0520806
employment	0.0518839
Treaty	0.0516667
amendment	0.0515885
retrial	0.0515477
rebate	0.0513611
postponement	0.0513421
bargaining	0.0513411
demarcation	0.0513115
"financial aid"	0.0512008
"free trade"	0.0511466
Privatization	0.0511076
"property right"	0.051104
repayment	0.051044
pullback	0.0509342
Implementation	0.0507393
voucher	0.0507162
"juvenile court"	0.0506979
jurisdiction	0.0506291
remedy	0.0505747
discipline	0.0505732
"collective bargaining"	0.0505211
"court martial"	0.050469
disclosure	0.0504324
fee	0.0504245
merger	0.0503926
"Supreme Court"	0.0503312
grievance	0.0502493
compliance	0.0501668
"legal action"	0.0501229
panel	0.0497032
"Chapter @@"	0.0496338
"U.S. Supreme Court"	0.0495512
concession	0.0495358
appraisal	0.0495037
examination	0.0494954
appointment	0.0494938
consideration	0.0494415
swap	0.0494175
renewal	0.0494149
bonus	0.0493506
lifting	0.0493446
termination	0.049314
censorship	0.049309
"appeals court"	0.0493009
tariff	0.0492991
fact-finding	0.0492656
naturalization	0.0492194
restructuring	0.04916
tribunal	0.0491338
"high court"	0.0489491
resumption	0.0489432
reconsideration	0.0489261
closure	0.0488766
quota	0.0488135
initiative	0.0487052
protocol	0.0484893
"social insurance"	0.0484888
notification	0.0484345
consensus	0.0483963
salary	0.0483674
"tax increase"	0.0483314
"labor contract"	0.0482767
redress	0.0479488
legalization	0.047918
impeachment	0.0479026
Medicaid	0.0478753
cutback	0.0478213
))
(arbitrator (desc 12444.4) (sims
"U.S. Supreme Court"	0.178591
"appeals court"	0.176854
"appellate court"	0.168937
"court of appeals"	0.152211
"Court of Arbitration"	0.148023
"European Court of Human Rights"	0.147067
"trial court"	0.143308
"lower court"	0.141806
"high court"	0.138699
Feerick	0.138252
SJC	0.134931
Magistrate	0.130298
"state supreme court"	0.126228
judge	0.125168
"Supreme Court"	0.125033
jury	0.12429
Lamberth	0.120017
"Constitutional Court"	0.11873
"Supreme Judicial Court"	0.113906
"US Supreme Court"	0.113334
panel	0.112727
"World Court"	0.108853
"federal court"	0.101416
"International Court of Justice"	0.100826
Teresi	0.100562
mediator	0.0970618
"Law Lords"	0.0932871
"Appellate Division"	0.0930264
"Nevada Athletic Commission"	0.0925592
arbitration	0.092346
juror	0.0923276
arbiter	0.0908541
commissioner	0.0903855
"Lahore High Court"	0.0875333
Korman	0.0872579
Ruthardt	0.0869345
"House of Lords"	0.0866564
tribunal	0.0864946
NLRB	0.0859327
prosecutor	0.084765
referee	0.0843561
CEC	0.0838467
regulator	0.0827674
"International Amateur Athletic Federation"	0.0819965
"Federal Communications Commission"	0.081815
"Court of Appeal"	0.0815048
"European Court of Justice"	0.081087
Baer	0.0810097
"Circuit Court"	0.0809153
"Immigration and Naturalization Service"	0.0807596
"Parades Commission"	0.0796795
FCC	0.0794083
"Texas Supreme Court"	0.0778086
commission	0.0776889
Nickerson	0.0775487
IAAF	0.0763596
Ombudsman	0.0759218
auditor	0.0758361
"military court"	0.0754297
"chief justice"	0.0754233
PUC	0.0746894
jurist	0.0721585
steward	0.0721442
trustee	0.0718169
facilitator	0.071554
"Federal Election Commission"	0.0711652
"U.S. Immigration and Naturalization Service"	0.0709765
FDA	0.0698562
NCAA	0.0693222
"Jack Straw"	0.069231
"grand jury"	0.0690954
justice	0.0688245
FINA	0.0672648
"election commission"	0.0667205
"International Cycling Union"	0.066369
Council	0.0662642
"public defender"	0.0661925
"board of education"	0.0661464
go-between	0.0657609
censor	0.065654
Patel	0.0650138
"District Court"	0.0642001
psychiatrist	0.0641977
investigator	0.0641755
conciliator	0.0640762
appointee	0.0640093
INS	0.0634717
"Nevada State Athletic Commission"	0.0633479
"school board"	0.0633353
"board member"	0.0631254
"Food and Drug Administration"	0.0628242
EPA	0.0628238
"federal official"	0.0627965
"Ethics Commission"	0.0622815
administrator	0.0621299
Counsel	0.0619941
Tagliabue	0.0619799
"Truth and Reconciliation Commission"	0.0617154
"Senate Banking Committee"	0.0614887
parliamentarian	0.0614508
"ethics committee"	0.0611689
FIFA	0.0610895
"Janet Reno"	0.0610333
"Senate Foreign Relations Committee"	0.06091
Reno	0.0609027
umpire	0.0605106
UEFA	0.0597963
"legal expert"	0.0596583
director-general	0.0595742
FAA	0.0595289
FEC	0.0591928
"traffic cop"	0.0590229
"National Labor Relations Board"	0.0590078
overseer	0.058856
"U.S. District Court"	0.0588159
Rehnquist	0.0585289
negotiator	0.0583977
"Senate Armed Services Committee"	0.0581092
legislator	0.0571535
watchdog	0.0568604
"International Olympic Committee"	0.056392
"ethics panel"	0.0562585
enforcer	0.05603
Guardian	0.0557882
"Constitutional Council"	0.0555688
Danforth	0.0555199
reviewer	0.0554517
"International Amateur Athletics Federation"	0.0553205
subcommittee	0.055069
litigant	0.0547732
IRS	0.0546555
Das	0.0544269
"committee member"	0.054416
Whipple	0.0542941
"Labor Ministry"	0.0542184
"Clinton Administration"	0.0541404
liquidator	0.0537676
"Senate Judiciary Committee"	0.0537419
"European Commission"	0.0536863
"United Nations Security Council"	0.0535818
"executive council"	0.0531704
"Commission on Human Rights"	0.0530011
Bosman	0.0529754
"Organization of Petroleum Exporting Countries"	0.0529444
"National Court"	0.0529094
"Judiciary Committee"	0.0528086
Edelstein	0.0527906
"Israeli Cabinet"	0.0527858
"Environmental Protection Agency"	0.0527787
"district attorney"	0.0526822
legislature	0.0526458
"inspector general"	0.0525904
Selig	0.0525884
"World Trade Organization"	0.052558
ITF	0.0522932
Westendorp	0.052283
circuit	0.0521939
"board of directors"	0.0521926
WTO	0.0521561
underwriter	0.0521321
"U.N. Security Council"	0.0519898
"Justice Department"	0.0519372
counselor	0.0515753
"decision maker"	0.05145
"sports writer"	0.05125
appraiser	0.0512473
conferees	0.0512019
physician	0.0509634
"House Judiciary Committee"	0.0509322
Folsom	0.0508529
organizer	0.0506681
"Police Commission"	0.0506607
superintendent	0.0506475
supervisor	0.0506357
whomever	0.050589
"board of regents"	0.0505685
Judiciary	0.0503982
"cabinet minister"	0.050113
regent	0.0500796
Secretary-General	0.0499479
therapist	0.049805
"Security Council"	0.0495983
NRC	0.0494862
EC	0.0493698
Chancellor	0.0490268
"solicitor general"	0.0490042
insurer	0.0490031
executor	0.0488974
FTC	0.0488776
observer	0.0485799
dean	0.0485621
"Occupational Safety and Health Administration"	0.0484606
"head of state"	0.0483204
statistician	0.048247
Duma	0.0482122
OSHA	0.0481094
"council member"	0.048063
"Federal Trade Commission"	0.0479416
rabbi	0.0479308
"European Central Bank"	0.0476394
))
(arbor (desc 3107.44) (sims
gazebo	0.0834158
trellis	0.0828339
raver	0.0798673
"herb garden"	0.0698096
shrub	0.0682229
"ground cover"	0.0631298
Igloo	0.0629572
moat	0.0606053
birdbath	0.0603265
portico	0.0581313
fountain	0.0536667
greenery	0.0530001
urn	0.0517757
"picnic area"	0.0507881
bough	0.0507204
lean-to	0.050057
"skating rink"	0.0499362
patio	0.0494034
"gas pedal"	0.0493938
overhang	0.0487774
Conifer	0.0485002
scaffold	0.048158
frieze	0.0475759
veranda	0.0472763
"telephone pole"	0.0456552
waterfall	0.0450154
"stone wall"	0.0447532
"fire wall"	0.0442617
fireplace	0.0439428
statuary	0.0438551
Wisteria	0.0436443
headboard	0.0434118
azalea	0.0433661
Canopy	0.0429933
awning	0.0429561
seawall	0.0427289
molding	0.04252
pergola	0.0424616
greenhouse	0.0412187
bookcase	0.0410464
"sailing vessel"	0.0409683
"water tower"	0.0403718
cofferdam	0.0401087
))
(arboretum (desc 1489.43) (sims
"science museum"	0.0780519
"art collection"	0.0759961
"botanical garden"	0.0697536
gazebo	0.0679114
"art school"	0.0657424
"flower garden"	0.0645521
"Air Lanka"	0.064048
"herb garden"	0.0639017
"endowment fund"	0.0627919
"trust account"	0.0587695
"music school"	0.0584392
oil-for-food	0.0577507
streetlight	0.0569825
teahouse	0.0563092
databank	0.0556792
"ballet company"	0.0552116
crematorium	0.0551805
Qaddafi	0.0550938
"trading post"	0.054627
"Beijing Zoo"	0.0544676
megaplexes	0.0544211
"John F. Kennedy Library"	0.0542747
"fish tank"	0.0542666
greenhouse	0.0536831
"exhibition hall"	0.0531315
"electronic database"	0.0529343
"recreational facility"	0.0517727
"opera company"	0.0514382
mortuary	0.0511668
homepages	0.0506871
"first school"	0.0503818
"highway system"	0.050126
"information superhighway"	0.0498441
nunnery	0.0492885
clearinghouse	0.0486761
"investment trust"	0.0485394
"employment agency"	0.0482298
sarcophagus	0.0482277
emulator	0.048044
"Reform Judaism"	0.0475633
conservatory	0.0475122
"communications network"	0.0475082
"conference center"	0.0470783
"shooting range"	0.0468678
"blood bank"	0.0459467
"Sky Harbor"	0.0459464
Truffaut	0.0459192
"stock company"	0.0458776
"investment company"	0.0458395
"domed stadium"	0.0454943
"tea house"	0.0451999
"telephone network"	0.0448767
"University of Cincinnati"	0.0447768
"jigsaw puzzle"	0.0447731
trellis	0.0447191
Chautauqua	0.0445592
enquiry	0.0445505
grub	0.0445022
"vegetable garden"	0.0443766
"language school"	0.0442653
"data system"	0.0442447
"National Missile Defense"	0.0442004
"gambling casino"	0.0440672
"line of products"	0.0439755
inquest	0.0438118
STARMEDIA	0.0438058
"ice rink"	0.0433208
EPZ	0.043276
"investment portfolio"	0.0430432
"house of cards"	0.0429611
"entitlement program"	0.0428707
"power unit"	0.0422975
distillery	0.0421699
"telephone booth"	0.0419581
waterworks	0.0417259
forester	0.0416875
"street lamp"	0.0415729
"personal relation"	0.0415551
"African Economic Community"	0.0414543
KLIA	0.0411616
"water company"	0.0411046
fief	0.0410953
"assembly hall"	0.0410527
"surveillance system"	0.0407997
"flour mill"	0.0407112
mower	0.0403275
airball	0.0402345
Ark	0.0401256
))
(Arbour (desc 1393.76) (sims
Zadornov	0.198613
Meissner	0.153787
Blackmun	0.150808
Lundberg	0.150378
Lockyer	0.148737
Murayama	0.148735
Rivlin	0.146869
Ruggiero	0.146161
Bizimungu	0.143587
Ruthardt	0.1432
Greenwald	0.143036
Markovic	0.142392
Lamont	0.140928
Pustovoitenko	0.140823
Ogata	0.139721
Scharping	0.139651
Tobin	0.139333
Ikimi	0.139093
Slatkin	0.138295
Coelho	0.138222
Vasile	0.138129
Hybl	0.137769
Ivester	0.137537
"De Soto"	0.137288
Mucha	0.135809
Kassirer	0.13489
Sharma	0.134487
Butterworth	0.134445
Grunwald	0.134207
Bellamy	0.133839
Westendorp	0.13339
Barad	0.132255
Fiorina	0.132087
Ruehe	0.131676
Verniero	0.130197
Kasoulides	0.129824
Kirkpatrick	0.129185
Ashrawi	0.128624
Marineau	0.12792
Brazile	0.12763
Hanley	0.12742
Ikeda	0.127046
Verney	0.126987
Barshefsky	0.126838
Chenoweth	0.126767
Santer	0.126537
Diouf	0.125442
Lamberth	0.125365
Rubinstein	0.125271
Koskinen	0.124973
Schottenheimer	0.124948
Simons	0.124874
Advani	0.123769
Ziegler	0.123752
Aventajado	0.123448
Velayati	0.122854
Klestil	0.122839
Mandelson	0.122074
Farber	0.121868
Schaeuble	0.120767
Aquino	0.119965
Banharn	0.119891
Shipley	0.119649
Camdessus	0.119386
Garzon	0.119175
Muluzi	0.11883
Patten	0.118417
Dunham	0.118375
Bochy	0.117877
Grasso	0.117678
Molinari	0.117675
Copeland	0.11738
Greco	0.117319
Burleigh	0.116844
Holl	0.116095
Fink	0.115899
Masire	0.115863
Cleary	0.115552
Kaye	0.115454
Goldin	0.115321
Alarcon	0.114957
Lipponen	0.114891
Gujral	0.114715
Sato	0.114644
Moratinos	0.114636
Cubas	0.114553
Garvey	0.114005
Kessler	0.11391
Singson	0.113623
"President Lee Teng-hui"	0.113569
Rylander	0.113454
Husseini	0.112888
Mukora	0.112597
Weizman	0.112529
Lau	0.112205
"Krishna Prasad Bhattarai"	0.112197
Henley	0.111988
Papandreou	0.111856
Hiddink	0.11138
Constantinescu	0.111361
Hardy	0.110598
Shriver	0.110353
Joklik	0.110262
Hrawi	0.110179
Ciampi	0.10999
Kennelly	0.109715
Rodionov	0.109265
Daley	0.10924
Frei	0.109208
Brennan	0.108829
Posner	0.108674
Brundtland	0.108623
Muir	0.108484
Hoddle	0.108481
Kagalovsky	0.108183
Quintana	0.107931
Cline	0.107753
Sergeyev	0.107524
Ono	0.107484
Sorensen	0.107437
McDaniel	0.107182
Wolfson	0.106434
Vogts	0.106329
Ramsey	0.106311
Deuba	0.105748
Rosen	0.105747
Barrett	0.105651
Maldini	0.105309
Hashimoto	0.105254
DeFrantz	0.105201
Hickman	0.105121
Knapp	0.105024
Vollebaek	0.104838
Yazdi	0.104834
McCartney	0.104809
Harman	0.104804
Akayev	0.104765
Grossberg	0.104694
Hartley	0.104572
Demirel	0.104457
Hauser	0.104434
Chavalit	0.104205
Guterres	0.104168
Nujoma	0.104107
Gowda	0.104092
Komura	0.104071
Boles	0.103875
Zuma	0.103806
Ackerman	0.103804
Granic	0.103592
Zhirinovsky	0.10341
Rubin	0.103362
Quackenbush	0.103078
Stepashin	0.102817
Ghalib	0.102796
Chubais	0.102784
Schott	0.102571
Lowry	0.102125
Kern	0.102082
"Amnuay Virawan"	0.101945
Maslyukov	0.101643
Whaley	0.101605
Briscoe	0.101536
Kelleher	0.101355
Scalfaro	0.101311
Ozawa	0.1013
Stoyanov	0.101279
Herzog	0.101193
Nasser	0.100746
Wasserstein	0.100712
Bubb	0.100622
Waxman	0.100575
McCurry	0.100356
Neff	0.100355
Bogle	0.100256
Mowlam	0.100214
Leyland	0.100037
Hersh	0.099882
Kok	0.0995496
Koirala	0.0993898
Villalonga	0.0992183
Menchu	0.0990066
Haines	0.0989432
Hallinan	0.0989204
Nilsson	0.0989079
Weil	0.0988086
Samaranch	0.0987193
Jayakumar	0.0986287
Bliley	0.0985665
Lawler	0.0985469
Swenson	0.0985195
DIMON	0.0982019
Jacquet	0.0981674
Ingalls	0.0980397
Rifkind	0.0977022
Ekeus	0.0975982
Grachev	0.0974427
Stahl	0.0974366
Tuttle	0.097355
Bhutto	0.0973335
))
(arc (desc 21489.8) (sims
trajectory	0.0708382
"straight line"	0.0670833
contour	0.0572881
arch	0.0553212
path	0.054568
pattern	0.0524068
curve	0.0505364
spiral	0.0487054
climax	0.048462
narrative	0.0479971
cycle	0.046155
vignette	0.0460441
denouement	0.0458959
sequence	0.04582
paradox	0.0456634
tableau	0.045171
progression	0.0447961
journey	0.0447857
thread	0.0442094
swath	0.0438136
angle	0.0435265
"foul line"	0.043063
"free throw"	0.0429548
threads	0.042678
chronology	0.0422863
depiction	0.0417471
plume	0.0416833
mosaic	0.0416141
"plot line"	0.0410951
unfolding	0.0407661
"field goal"	0.0407191
chasm	0.0406217
dichotomy	0.0404339
miniseries	0.0404118
contrivance	0.0400377
))
(arcade (desc 14109.3) (sims
parlor	0.117058
"art gallery"	0.106484
"shopping mall"	0.105693
"entertainment center"	0.0979379
"movie theater"	0.095758
"bowling alley"	0.0927791
"movie house"	0.0903831
"shopping center"	0.0893624
boutique	0.0889152
mall	0.0880521
"department store"	0.0879616
kiosk	0.0868447
"gift shop"	0.0855501
cafe	0.083509
eateries	0.0833648
"game room"	0.0823324
"amusement park"	0.081559
restaurant	0.0807505
"liquor store"	0.0804897
"clothing store"	0.0800458
"office building"	0.0792187
"grocery store"	0.0783787
"coffee shop"	0.0777329
"gas station"	0.0775589
"chain store"	0.0773383
bookstore	0.0771223
"swimming pool"	0.0766979
multiplayer	0.0766088
"tea house"	0.0763419
"dance hall"	0.0761544
supermarket	0.0754792
pub	0.0753585
delicatessen	0.0736253
bistro	0.0728949
SPA	0.0723654
saloon	0.071613
"exhibition hall"	0.0716046
hotel	0.0714727
"toy store"	0.0711484
discotheque	0.0709714
nightclub	0.0709627
atrium	0.0708529
"convenience store"	0.0707305
stalls	0.0702678
gallery	0.0701631
"shoe store"	0.0699839
"concert hall"	0.06992
gym	0.0698889
drugstore	0.0696569
Casino	0.0693464
playground	0.069286
cinema	0.0691227
disco	0.0679961
"recreational facility"	0.06784
"food shop"	0.0677582
"theme park"	0.0675485
teahouse	0.0672476
"Electronic Arts"	0.0672322
"retail store"	0.067053
library	0.0662691
theater	0.0656695
salon	0.0648245
showroom	0.0646267
outlet	0.0645272
motel	0.0641734
spas	0.064102
tavern	0.0640806
auditorium	0.0638777
pavilion	0.0637936
"beauty parlor"	0.0632873
garage	0.0631609
"post office"	0.06285
ballroom	0.0626366
"parking lot"	0.0625697
booth	0.0625018
bakery	0.0623711
"beauty salon"	0.0623187
gymnasiums	0.06188
bazaar	0.0617897
console	0.0617419
Warehouse	0.0614996
brothel	0.0612931
"picnic area"	0.0612419
"flea market"	0.0608196
Brasserie	0.06051
hall	0.0604247
"beauty shop"	0.0602508
"hardware store"	0.0602378
cafeteria	0.0600203
condominium	0.0594966
museum	0.0592788
plaza	0.0590937
"tennis court"	0.0588489
bed-and-breakfasts	0.0587349
storefront	0.0587251
courtyard	0.0586245
barbershop	0.0584628
"service station"	0.0582791
"conference center"	0.0582478
"jewelry store"	0.0580456
"dining room"	0.0579104
"discount store"	0.0578252
coffeehouse	0.0577874
deli	0.0575815
"skating rink"	0.0574034
"specialty store"	0.0570831
"Ferris wheel"	0.0567448
"botanical garden"	0.0558213
Tower	0.0557859
garden	0.0557705
Marina	0.0554361
"apartment building"	0.0552709
"butcher shop"	0.0551461
superstore	0.0551444
lodge	0.0550344
fountain	0.0548901
Pharmacy	0.0548664
lounge	0.0548132
sauna	0.0547089
PlayStation	0.0545067
Steakhouse	0.0543044
"slot machine"	0.0542765
"house of worship"	0.0542147
Pong	0.0540679
"vending machine"	0.0539735
concourse	0.0538505
emporium	0.0532574
"bus terminal"	0.0527986
loft	0.052589
"conference room"	0.0521831
apartment	0.0517981
restroom	0.0515962
inn	0.0515103
walkway	0.0514152
"golf course"	0.05141
playroom	0.0510865
studio	0.0509143
Jukebox	0.0508092
resort	0.050692
simulator	0.0504457
"wine cellar"	0.0502494
"batting cage"	0.0502316
attraction	0.0501642
Nintendo	0.0500708
"travel agency"	0.0500286
"train station"	0.0500268
"dry cleaner"	0.0497668
dormitory	0.0495424
"resort hotel"	0.0493752
Villa	0.0492533
bookshop	0.048945
patio	0.0487754
amenity	0.0487187
grocery	0.048375
"meeting place"	0.0481897
"basketball court"	0.0477842
nursery	0.0476865
"dining area"	0.0476076
promenade	0.047482
high-rise	0.0474139
"music hall"	0.0472191
campgrounds	0.0472132
hostel	0.0471687
underpass	0.0471582
"funeral home"	0.0466002
hangar	0.0464259
"day care center"	0.0463281
"truck stop"	0.0462873
"waiting room"	0.0462737
"repair shop"	0.0461887
arena	0.0461149
"railroad station"	0.0460902
"general store"	0.0460424
Gaming	0.045961
condo	0.0459402
chapel	0.045911
cottage	0.0458513
"cash machine"	0.0457989
"police station"	0.0457723
venue	0.0457082
foyer	0.0456612
gazebo	0.0456191
gymnasium	0.0455362
clinic	0.0453818
"ice rink"	0.0452353
mosque	0.0449594
terrace	0.0449407
catalog	0.0449013
"sports arena"	0.0447899
diner	0.0447453
nightlife	0.0447332
mansion	0.0446047
elevator	0.0444814
subdivision	0.0444685
multiplex	0.0444234
landscaping	0.0443952
"summer camp"	0.0443364
Jacuzzi	0.0441951
"compact disc"	0.0441656
thoroughfare	0.0440566
))
(ARCADIA (desc 3571.59) (sims
Encino	0.149577
Reseda	0.136793
Tarzana	0.136226
"Woodland Hills"	0.131606
"Paradise Valley"	0.125462
Inglewood	0.120375
Chatsworth	0.118756
"Studio City"	0.118109
"Granada Hills"	0.114987
"North Hollywood"	0.111258
"Newport Beach"	0.10776
"Van Nuys"	0.10604
"Mill Valley"	0.104321
LAKEWOOD	0.0995098
Englewood	0.0981186
"Thousand Oaks"	0.0974599
"Sherman Oaks"	0.0972265
"Silver Spring"	0.0963136
"Simi Valley"	0.0941378
"Mission Viejo"	0.0940006
"Manhattan Beach"	0.0932138
"Lake Worth"	0.092669
Riverdale	0.0921408
"East Boston"	0.0911299
Calabasas	0.091124
"Walnut Creek"	0.0903807
riverside	0.0900754
Modesto	0.08969
Chappaqua	0.0893034
Hialeah	0.0886214
Glendale	0.0884391
"Westlake Village"	0.0875516
"Huntington Beach"	0.0875283
Bensonhurst	0.087074
Pomona	0.0861625
"Boynton Beach"	0.0849778
Oxnard	0.0845285
"Marin County"	0.0842615
"Pacific Palisades"	0.0837301
Westfield	0.0834971
"Culver City"	0.0833391
"Mount Pleasant"	0.0831684
"Overland Park"	0.0831275
Farmington	0.0829026
"Palm Beach Gardens"	0.082032
Brentwood	0.0813805
"West Hollywood"	0.0807071
Lafayette	0.0807001
Kensington	0.0803206
"Santa Monica"	0.0803172
"Baton Rouge"	0.079174
"Highland Park"	0.0785041
"Delray Beach"	0.0782017
"Santa Clarita"	0.076345
Pacoima	0.0761829
"Saratoga Springs"	0.0760586
Sausalito	0.0759767
Chatham	0.0759375
Dunwoody	0.0754734
Montclair	0.0751674
Carrollton	0.0750708
"South San Francisco"	0.074601
Hillsborough	0.0745998
Pasadena	0.0743576
Carmel	0.0742482
"East Orange"	0.0741301
Palmdale	0.0740021
Wallingford	0.0733446
Eureka	0.0732334
Braintree	0.0721938
Medford	0.0720534
BRIGHTON	0.0719005
Westport	0.0718137
Camarillo	0.071667
"Palm Springs"	0.0714792
"San Mateo"	0.0714311
"East Los Angeles"	0.0713909
"North Beach"	0.0712648
Claremont	0.0712046
Flushing	0.0707857
Lakeland	0.0704755
Scottsdale	0.0701461
Fresno	0.0698279
Duluth	0.0695789
"West Palm Beach"	0.0693276
"New Rochelle"	0.0692157
Alpharetta	0.0692124
Redding	0.0688189
Fairfield	0.0686925
Malden	0.0684986
"Sonoma County"	0.0683701
"Fort Lauderdale"	0.0683278
"Bel Air"	0.0680206
oceanside	0.0679879
"San Fernando Valley"	0.0678994
"San Rafael"	0.0677633
Tempe	0.0676822
Petaluma	0.0673506
"Century City"	0.0672033
Plano	0.0667082
"New Canaan"	0.0666236
Bloomfield	0.0665111
Leawood	0.0663037
"La Jolla"	0.0662054
Carthage	0.0659778
Rey	0.0656956
"Orange County"	0.065503
Stockbridge	0.0653913
Shreveport	0.0650812
Quincy	0.0649249
"East New York"	0.0647477
"Bergen County"	0.0644361
Greenwich	0.0644141
"Happy Valley"	0.0642897
"Boca Raton"	0.0640494
Darien	0.0638144
Dorchester	0.063753
Ojai	0.0631922
Danville	0.0630279
"Daytona Beach"	0.0628629
Woodside	0.0625237
Bangor	0.0624137
"San Marcos"	0.0622632
Milton	0.0619445
Morristown	0.0619363
Williamsburg	0.0619015
"Washington Heights"	0.0617915
"West Los Angeles"	0.0617618
Scarsdale	0.0615592
Amherst	0.0613521
"St. Paul"	0.0613485
"Big Sur"	0.0611923
Covington	0.0608971
"Sun City"	0.0608607
Stamford	0.0604012
seaside	0.0603662
"Miami Beach"	0.0602689
Naples	0.0602284
"Little Havana"	0.0601603
Norwood	0.0599671
"trailer park"	0.0597737
"El Segundo"	0.0597019
"Palo Alto"	0.0596414
Monterey	0.059229
"Port St. Lucie"	0.0591969
Framingham	0.0591228
Sarasota	0.0589958
"Hollywood Hills"	0.0588484
Burbank	0.0587036
Fontana	0.0583754
Burlingame	0.0583084
Buckhead	0.0583051
Torrance	0.0581455
"Westchester County"	0.0580649
"South End"	0.0578995
Alameda	0.0578671
"San Fernando"	0.0577884
Tribeca	0.0577221
Bellingham	0.0573145
"Crown Heights"	0.0571267
lakeside	0.0569734
Piedmont	0.056924
"Beverly Hills"	0.0567024
"Santa Cruz"	0.0566397
"Fort Worth"	0.0565589
Fredericksburg	0.0564737
Fremont	0.0562458
Surrey	0.0559525
"Fort Worth-Dallas"	0.0559476
Needham	0.055941
"San Bernardino"	0.0559
"Santa Rosa"	0.0556819
Princeville	0.055516
"San Carlos"	0.0554995
"Grand Rapids"	0.0552798
ASHEVILLE	0.0552424
Gloucester	0.0552243
"San Pedro"	0.0551226
"Mount Lebanon"	0.0550888
Wellesley	0.0548505
Wilton	0.0548469
Loudon	0.0547623
Atherton	0.0545094
Brookline	0.0545026
Naperville	0.0543858
"Hyde Park"	0.054201
Alexandria	0.0540183
"Vero Beach"	0.0539542
Falmouth	0.0539294
Macon	0.0538952
Scranton	0.0537473
"Ann Arbor"	0.0537395
Wilmington	0.0537212
Ridgewood	0.0536488
"Flagler County"	0.0536465
"Great Neck"	0.0536323
Lawrenceville	0.0535883
Yonkers	0.0535503
Lansing	0.0533558
"Borough Park"	0.0533552
))
(arcana (desc 2024.48) (sims
intricacy	0.0676034
nitty-gritty	0.0621561
perversity	0.0574682
creditworthiness	0.057238
trivia	0.0559426
minutiae	0.0554772
exotica	0.0547364
iconography	0.0541665
conundrum	0.0531493
prehistory	0.0531252
facet	0.0514762
underpinning	0.0499702
"investment house"	0.0498233
nicety	0.049467
idiom	0.048989
forming	0.0476933
possiblity	0.0468309
abolishment	0.0463115
reappraisal	0.0461473
"marine animal"	0.0454758
downsides	0.0450565
sub-indices	0.0450553
inequity	0.0447079
reconfiguration	0.0444796
"raw data"	0.0438479
harmonization	0.0433657
nastiness	0.042945
"hard drug"	0.0428621
detritus	0.0428141
technicality	0.0428122
"hanky panky"	0.0422664
Goliath	0.0419921
knockoffs	0.0419642
"detective work"	0.0417883
hodgepodge	0.0412053
"supporting players"	0.04045
slag	0.0404107
))
(arch (desc 16836.7) (sims
archway	0.128676
spire	0.112153
facade	0.111211
staircase	0.100818
Dome	0.0953643
steeple	0.0938599
pagoda	0.0915093
Tower	0.0913362
statue	0.0905996
awning	0.0902445
sarcophagus	0.0875959
Obelisk	0.086788
edifice	0.0818655
monument	0.0802401
wall	0.0797754
tile	0.0787072
pillar	0.0785361
slab	0.077672
Canopy	0.0768262
pyramid	0.0762182
chandelier	0.0752212
fountain	0.074238
cupola	0.0741059
scaffolding	0.0736471
atrium	0.0729331
turret	0.0724058
skylight	0.0723042
walkway	0.0714615
truss	0.0710325
wainscoting	0.0703736
sculpture	0.0693468
"stone wall"	0.0691383
crosse	0.0688581
ceiling	0.0684098
Stairway	0.0681613
beam	0.067952
mosaic	0.0673709
stele	0.0671767
exterior	0.0668093
frieze	0.0665625
crucifix	0.0662905
roof	0.065497
balustrade	0.065287
lantern	0.0646451
flagpole	0.064368
structure	0.0642235
terrace	0.0641006
minaret	0.0639004
fireplace	0.063677
Sphinx	0.0635434
statuary	0.0629924
headstone	0.0625324
pedestal	0.0618903
chimney	0.0618235
portico	0.0611766
altar	0.0607134
chapel	0.0606569
scaffold	0.0605526
"bell tower"	0.0602516
urn	0.0597504
tombstone	0.0586415
waterfall	0.0581021
stair	0.0577538
ledge	0.0576671
molding	0.0573192
skyscraper	0.0571177
plaque	0.0569801
balcony	0.0569699
footbridge	0.0569083
"water tower"	0.0560667
arc	0.0553212
bridge	0.0548662
Lighthouse	0.0547641
shingle	0.0545469
veranda	0.0545257
carving	0.0544033
plaza	0.0542826
monolith	0.0540989
eaves	0.0540592
temple	0.0539634
brick	0.0538055
Walls	0.0535063
Crane	0.0532659
mural	0.0532587
entryway	0.0529916
courtyard	0.0528808
column	0.0528628
jetty	0.0526558
billboard	0.0520546
grille	0.0520352
"Ferris wheel"	0.0518651
rotunda	0.0514216
ramp	0.0513446
doorway	0.0512592
frame	0.0510737
passageway	0.0510292
shrine	0.0505521
marker	0.0505427
cliff	0.0504337
gate	0.0502078
"clock tower"	0.0499731
moat	0.0499729
"mushroom cloud"	0.049892
"stained-glass window"	0.0498234
decoration	0.0496835
barricade	0.0496545
Basilica	0.049628
railing	0.0494019
tunnel	0.0494011
pavilion	0.0493745
pergola	0.0493615
effigy	0.049134
girder	0.0490286
rectangle	0.0489214
fence	0.0484474
"apartment house"	0.0482582
banner	0.0481694
mausoleum	0.0480109
Cathedral	0.0479032
porch	0.0477754
tomb	0.0476932
shutter	0.0472379
curtain	0.0464435
"suspension bridge"	0.0462782
pier	0.0457313
dragon	0.0456925
Halo	0.0456546
memorial	0.0453732
replica	0.0452575
tent	0.0451971
fresco	0.0451967
menorah	0.0449853
landmark	0.0449116
bends	0.0446872
mirror	0.0444349
cornice	0.0444232
Villa	0.0443751
Castle	0.0441489
fortification	0.0440207
rampart	0.0440173
"stained glass"	0.0439473
silhouette	0.0437953
mast	0.0437773
hearth	0.043641
foyer	0.0435101
gargoyle	0.0434677
dwelling	0.0432206
grotto	0.0431168
cavern	0.0429302
rails	0.0429156
contour	0.042818
cofferdam	0.0424356
balloon	0.0422854
skeleton	0.0422303
smokestack	0.0420132
casing	0.0419861
cylinder	0.0416215
ribbon	0.0415843
"video screen"	0.0415063
architecture	0.0413569
amphitheater	0.041349
plume	0.0412809
bungalow	0.0411817
"apartment building"	0.0411411
mosque	0.0410939
headboard	0.0409771
scroll	0.04092
gravestone	0.0408759
cottage	0.0408683
vase	0.0408606
mansion	0.0407698
Casket	0.0407611
grid	0.0406754
toe	0.0405321
marquee	0.0404252
fortress	0.0404176
portrait	0.0403861
curve	0.040386
armoire	0.0403359
pylon	0.0402759
pipe	0.0401703
patio	0.0401312
interior	0.0400371
))
(arch-rival (desc 2062.23) (sims
archrival	0.0876468
McGuinness	0.0609317
"Laurent Fabius"	0.0558845
antagonist	0.0540333
near-monopoly	0.0477668
"sphere of influence"	0.0449881
Chancellor-elect	0.0449419
beachhead	0.0439268
co-premier	0.0433851
"United Liberal Democrats"	0.043294
Zanu-pf	0.0432668
Presense	0.0428135
"Omar Torrijos"	0.0419987
"cash cow"	0.0406325
"Windows Media Player"	0.0404661
"Ricardo Alarcon"	0.0404481
Concordes	0.0403684
accoutrement	0.040154
))
(arch-rivals (desc 2137.37) (sims
archrivals	0.10812
"American Chanda Rubin"	0.0775381
runners-up	0.0737544
title-holder	0.0700997
Koreas	0.0679443
ICC	0.0675335
favourite	0.0627915
titlists	0.0617139
"Chinese Taipei"	0.0615054
vis-a-vis	0.0583207
Kashima	0.0582859
"Dynamo Kiev"	0.0582375
Tarango	0.05821
Shenhua	0.058092
"Atlanta Olympic"	0.0579425
"Kim Taek Soo"	0.0564074
IRB	0.055788
"West Ham United"	0.0557739
debutant	0.0552457
Edberg	0.0551249
Medvedev	0.0547778
"South African Amanda Coetzer"	0.0546376
"break of serve"	0.053844
Berasategui	0.0530726
Likhovtseva	0.0528864
"F.A Cup"	0.0520753
vs.	0.051893
Kremer	0.0516717
"Velez Sarsfield"	0.0502807
quarterfinalists	0.0501331
Dosedel	0.0493664
Lindland	0.0493549
"Phenix City"	0.0491271
minnow	0.049031
titlist	0.0489634
"Coventry City"	0.0488858
"nuclear explosion"	0.0488151
Raoux	0.0482473
archenemy	0.0481956
medallist	0.0474296
Stoltenberg	0.0467668
Schalken	0.0464756
Watford	0.0462176
Sidot	0.04595
Corretja	0.0457201
"American Michael Chang"	0.045696
"Valery Pustovoitenko"	0.0453511
four-time	0.045345
Chancellor-elect	0.0453122
"computer giant"	0.045208
"No. @s"	0.0451425
"away game"	0.044876
Jansher	0.0448453
Bruguera	0.0447563
"Deportivo Coruna"	0.0444584
Dragomir	0.0443842
Nicol	0.0443214
Aris	0.0441043
Kafelnikov	0.0440743
Dirani	0.0439163
Brondby	0.043876
"Leicester City"	0.0437706
Testud	0.0435449
"Republic of Ireland"	0.0429533
Rosset	0.042941
Luton	0.0428529
"Richard Fromberg"	0.0428106
three-time	0.0426096
Stolle	0.042567
Schnyder	0.0424829
FC	0.0423646
"Sebastien Grosjean"	0.0422182
edging	0.0418669
"Pan Ams"	0.0418075
"Sparta Prague"	0.0416129
Zvereva	0.0415761
"Australian Mark Philippoussis"	0.0413375
"Brad Friedel"	0.0413212
"Ryder Cups"	0.0412037
"Chanda Rubin"	0.04084
Clavet	0.0407897
"ball club"	0.0406074
"Bradford City"	0.0405743
"service break"	0.0405049
five-time	0.0404074
Susanti	0.0403872
Kiefer	0.0403252
"major power"	0.040317
"Daniel Nestor"	0.0402794
"patrol ship"	0.0402165
Panathinaikos	0.0402163
Wilander	0.0401911
Coetzer	0.0400804
))
(archaeologist (desc 19361.9) (sims
archeologist	0.324984
geologist	0.182945
paleontologist	0.165872
biologist	0.162131
scientist	0.156095
astronomer	0.153899
anthropologist	0.149359
historian	0.148361
sociologist	0.145204
scholar	0.140823
researcher	0.14053
linguist	0.125276
"art historian"	0.122255
expert	0.118228
"social scientist"	0.116507
mathematician	0.116206
archivist	0.114768
"legal expert"	0.114342
botanist	0.114209
psychologist	0.113203
physicist	0.110876
seismologist	0.108764
ecologist	0.10441
agronomist	0.104156
zoologist	0.103007
professor	0.101992
investigator	0.101601
geographer	0.10071
"political scientist"	0.10012
chemist	0.0992216
ornithologist	0.0974548
educator	0.0972904
entomologist	0.096207
economist	0.0961517
technician	0.0956517
geneticist	0.0955884
engineer	0.0954089
folklorist	0.0942918
curator	0.0942511
oceanographer	0.0935079
diver	0.0928258
rescuer	0.0926718
specialist	0.0915713
searcher	0.0897585
restorer	0.0897031
cardiologist	0.0894681
academic	0.0894137
theologian	0.0886756
naturalist	0.0881131
journalist	0.0867601
epidemiologist	0.0866782
"computer scientist"	0.086561
forecaster	0.0860845
"economic expert"	0.0857357
academician	0.085592
geophysicist	0.0839689
neurologist	0.0839201
statesmen	0.0838611
demographer	0.0832827
pathologist	0.0827516
diplomat	0.0827063
"graduate student"	0.0825475
businessmen	0.0822394
planner	0.0821841
sculptor	0.082089
theorist	0.0807044
toxicologist	0.0800216
Industrialist	0.0797082
Explorer	0.0796068
"military officer"	0.0786339
conservationist	0.0785447
nutritionist	0.0783861
detective	0.0783673
psychiatrist	0.0783261
auditor	0.0782305
astrophysicist	0.0781537
veterinarian	0.078107
environmentalist	0.0779217
doctor	0.0777147
statistician	0.0775942
collector	0.0772291
"government officials"	0.077106
meteorologist	0.0763581
physician	0.0763319
entrepreneur	0.0761782
"medical specialist"	0.0756701
firefighters	0.0744722
"computer expert"	0.0744555
surgeon	0.0743511
surveyor	0.0742622
mountaineer	0.0737342
philosopher	0.0735462
psychoanalyst	0.0732699
"faculty member"	0.073164
"business executive"	0.0731381
musicologist	0.072874
"federal official"	0.0728518
"army officer"	0.0728508
photographer	0.0728337
conservator	0.0726781
horticulturist	0.0717732
pediatrician	0.0715453
criminologists	0.071452
"social worker"	0.0709146
"policy maker"	0.0705765
physiologist	0.0704854
"business leader"	0.070093
architect	0.0699429
genealogist	0.0694509
inspector	0.0694353
jurist	0.0691896
farmer	0.0691818
"private investigator"	0.0688126
intellectual	0.0686278
ethicists	0.0684306
winemaker	0.0680707
observer	0.0678882
professional	0.0675884
librarian	0.0675321
painter	0.0673767
artist	0.0672939
writer	0.0671992
calligrapher	0.0670902
climber	0.0661244
author	0.0660204
critic	0.0658826
forester	0.0658706
filmmakers	0.0658223
Programmer	0.0657692
designer	0.0653309
lecturer	0.0652962
fellow	0.0651229
"university student"	0.065095
Fishermen	0.0649453
politician	0.0644582
enterpreneurs	0.064288
"staff member"	0.0642172
regulator	0.064096
appraiser	0.0640211
banker	0.0638029
businesspeople	0.0637274
firemen	0.0632858
activist	0.0632696
prosecutor	0.0628535
"associate professor"	0.0626605
buff	0.0625439
craftsmen	0.0625259
relic	0.0624787
consultant	0.0622667
legislator	0.062257
enthusiast	0.0622531
analyst	0.0622499
biochemist	0.0620789
musician	0.0616786
clinician	0.0616147
administrator	0.0616133
policy-makers	0.0615692
oncologist	0.06155
passerby	0.0613762
accountant	0.0613691
"intelligence officer"	0.0609894
neuroscientist	0.0609733
biographer	0.0604012
pollster	0.0603661
medic	0.0602024
"religious leader"	0.0600424
villager	0.059964
decision-makers	0.0598387
rabbi	0.0597997
"English professor"	0.0596626
reviewer	0.0596164
commentator	0.059562
microbiologist	0.0595189
"computer programmer"	0.0594424
policymakers	0.0591632
Hunter	0.0591435
pianist	0.0589143
poet	0.0588682
cartoonist	0.0588617
chef	0.0588175
"art dealer"	0.058763
missionary	0.0587025
staffer	0.0586797
parliamentarian	0.0586567
radiologist	0.0583619
lawmaker	0.0583358
"law student"	0.0582019
clergymen	0.0580446
hiker	0.0580337
practitioner	0.0576975
ethicist	0.0576227
monk	0.0573267
postgraduate	0.0571663
connoisseur	0.0571339
reporter	0.057113
"mountain climber"	0.0570996
electrician	0.0570237
builder	0.0569578
pundit	0.0569459
watcher	0.0566447
))
(archaeology (desc 8120.94) (sims
archeology	0.235317
anthropology	0.18044
zoology	0.163606
paleontology	0.160261
linguistics	0.157911
geology	0.154183
astronomy	0.153355
"social science"	0.149165
sociology	0.137717
"political science"	0.131513
mathematics	0.12281
psychology	0.121584
"computer science"	0.118557
"comparative literature"	0.117446
biology	0.117217
psychiatry	0.112801
"fine arts"	0.112748
horticulture	0.110038
"molecular biology"	0.109923
physics	0.106621
literature	0.105916
genetics	0.105407
"medical science"	0.103723
science	0.103455
"social work"	0.10224
microbiology	0.102101
Botany	0.102042
geophysics	0.100628
economics	0.100549
biochemistry	0.0994368
oceanography	0.0989711
epidemiology	0.0976181
architecture	0.0961051
neurobiology	0.0958008
"environmental science"	0.0952892
theology	0.0951832
folklore	0.0949761
"fine art"	0.0942296
engineering	0.0930765
geography	0.0925252
"natural science"	0.0925169
neuroscience	0.0919945
"natural history"	0.0887442
physiology	0.0882387
"mechanical engineering"	0.0872142
pharmacology	0.0851047
"preventive medicine"	0.0850109
ecology	0.0847354
"civil engineering"	0.0842981
civics	0.0841916
"electrical engineering"	0.0836559
meteorology	0.0835281
Anatomy	0.0824441
"physical education"	0.0822783
antiquity	0.0822655
"chemical engineering"	0.0813915
philosophy	0.0813858
ophthalmology	0.0803548
Journalism	0.0801908
"earth science"	0.0798258
pathology	0.0793078
"folk art"	0.0792676
Toxicology	0.0792504
aviation	0.0774022
photography	0.0760425
"biological science"	0.0758811
aeronautics	0.0754648
seismology	0.0750348
"internal medicine"	0.0749254
neurology	0.0746853
Immunology	0.0741985
nursing	0.0739836
Chemistry	0.0739499
astrophysics	0.0726875
"urban planning"	0.0721075
poetry	0.0720084
medicine	0.0719128
criminology	0.0716035
"artificial intelligence"	0.0713979
"city planning"	0.0709984
oncology	0.0697199
religion	0.0695211
mythology	0.0693314
forestry	0.0680004
radiology	0.067574
"life science"	0.067549
math	0.0669782
excavation	0.0653304
nutrition	0.0653191
hydrology	0.0650706
"higher education"	0.0638894
calligraphy	0.0625404
geriatrics	0.0624742
Buddhism	0.0623529
forensics	0.0620201
agriculture	0.0619097
Pediatrics	0.0616809
"adult education"	0.061544
"arms control"	0.0612699
gardening	0.0611103
heritage	0.0607322
ethic	0.0604275
"musical theater"	0.0603198
Urology	0.0599981
dermatology	0.0598955
genealogy	0.0597252
biotechnology	0.0596503
"interior design"	0.0585557
philanthropy	0.0584665
ceramic	0.0584399
agronomy	0.0579781
dentistry	0.0579189
Cardiology	0.057738
genomics	0.0576644
fishery	0.0572031
preservation	0.0571275
"nuclear physics"	0.0568711
liturgy	0.0568699
obstetrics	0.0566364
publishing	0.0565731
civilization	0.0556233
woodworking	0.0551891
demography	0.0549894
"political economy"	0.054659
"computer technology"	0.0538335
astrology	0.0536502
"special education"	0.0536454
farming	0.0536292
artifact	0.053433
exploration	0.0530663
"mental health"	0.0527936
recreation	0.0527259
conservation	0.0522498
"liberal arts"	0.052096
"art department"	0.0520586
erotica	0.0520238
"information technology"	0.051789
"Public Health"	0.0517171
"historical document"	0.0516854
conservancy	0.0514472
cinema	0.05113
jurisprudence	0.0510304
urbanism	0.0507666
"criminal law"	0.0504412
gynecology	0.0502127
biophysics	0.0500759
"computer graphics"	0.0500475
"Tibetan Buddhism"	0.050014
cuisine	0.0498668
psychoanalysis	0.0498516
"martial art"	0.0495987
archaeologist	0.0493433
"information science"	0.0492044
afforestation	0.0487411
"particle physics"	0.0482783
"folk music"	0.04821
mining	0.0479662
telecommunication	0.047878
cooking	0.0477862
counterterrorism	0.0475607
entrepreneurship	0.0474424
cryptography	0.0474085
forecasting	0.0473799
yoga	0.0472114
Americana	0.0467924
biodiversity	0.0467336
humanity	0.0467105
diplomacy	0.0467057
breeding	0.0465231
aerospace	0.0464835
"infectious disease"	0.0464798
handicraft	0.0464565
antique	0.0464387
"high technology"	0.0462708
trivia	0.0459751
imaging	0.0456345
robotics	0.0454661
lifestyles	0.0453264
"popular music"	0.0450875
wildlife	0.0450679
relic	0.0449801
aesthetic	0.0449105
"alternative medicine"	0.044896
Pottery	0.0448857
evangelism	0.0446273
networking	0.0445793
endocrinology	0.0445219
"elementary education"	0.0445088
"conflict resolution"	0.0443192
optic	0.0442097
spirituality	0.0440479
"atomic energy"	0.0436983
"veterinary medicine"	0.0436808
"Old Testament"	0.0435639
Microelectronics	0.0429728
"art form"	0.0429412
"cosmetic surgery"	0.0427363
ergonomics	0.042638
retailing	0.0426305
archeologist	0.0426173
))
(Archaeopteryx (desc 1064.35) (sims
"Homo sapiens"	0.13472
"natural selection"	0.101216
genus	0.0875848
Creationists	0.0871854
Neanderthal	0.0856861
"Tyrannosaurus rex"	0.0829136
hominid	0.0749448
creationism	0.0741511
vertebrate	0.0737334
"Kennewick Man"	0.0689117
"video recording"	0.0683293
jawbone	0.0674265
"Homo erectus"	0.0666991
realpolitik	0.0652904
"life form"	0.0646623
"living thing"	0.0617796
Zhuang	0.0585119
microbe	0.0577543
"lower jaw"	0.0576665
Garuda	0.0575204
tusk	0.0561377
Chinese-Indonesians	0.0558331
rhinoceros	0.0556577
"pirate ship"	0.0553427
Anglo-Saxon	0.0550411
"human race"	0.0545687
seagull	0.0535022
"bald eagle"	0.0534244
Sodom	0.0528591
"three centuries"	0.0517461
SATs	0.051522
Finch	0.0502251
"Jennifer Aniston"	0.0501733
"woman's body"	0.0501593
"two @@-year-olds"	0.0496987
"chili pepper"	0.0493118
microorganism	0.0491043
cranium	0.0490652
"Ebbets Field"	0.0490588
"five tons"	0.0488103
"false teeth"	0.0486743
lawnmower	0.0485407
"King David"	0.0484479
beak	0.0483473
"gefilte fish"	0.0482159
Reel.com	0.0481675
"sea urchin"	0.0480707
"Bobby Kennedy"	0.0477259
"subatomic particle"	0.0476469
battler	0.0476466
"accounting problem"	0.0474502
"Airbus A@@@"	0.0473553
Primate	0.0470678
dragonfly	0.047003
stingray	0.0468088
reestablishment	0.0466536
CPF	0.0464825
cowgirl	0.0464319
"battle line"	0.0463644
"woolly mammoth"	0.0459225
Hopi	0.0458904
walleye	0.0457809
"patchwork quilt"	0.0456355
"Andy Griffith"	0.0456099
Fubu	0.0453716
saucer	0.0452335
"brown rice"	0.0451313
Pelican	0.0450658
"Golden Bear"	0.0449121
helix	0.0448013
IRC	0.0444162
"white person"	0.0442646
mastodon	0.0442533
forefather	0.0441478
"flowering plant"	0.0439606
"molecular biology"	0.0438521
moonscape	0.0436003
Shangri-la	0.0433554
Cline	0.0432247
"Lee Harvey Oswald"	0.0428678
"leg bone"	0.0428523
"golden eagle"	0.04275
Masire	0.042689
Hearn	0.0425704
Gielgud	0.042497
"Pottery Barn"	0.0423843
STARMEDIA	0.0422144
"Millennium Bug"	0.0420703
"Gary Brown"	0.0419818
"Airbus @@@"	0.0418593
continuum	0.0418524
"fifth minute"	0.0415523
"Gunda Niemann-Stirnemann"	0.041513
Concordes	0.041236
globalisation	0.0411982
BLUETOOTH	0.0411198
radium	0.0410505
"arrival time"	0.0410167
"Tom Osborne"	0.0410108
"Sandra Voelker"	0.0409582
"Martin Schmitt"	0.0409079
"Siemens AG"	0.0407923
cosmology	0.0407297
"Potsdamer Platz"	0.0403562
"Second Amendment"	0.0401999
pixie	0.0401812
Phish	0.040147
Allianz	0.040082
Sacagawea	0.0400426
"road runner"	0.0400373
))
(Archbishop (desc 19165.2) (sims
bishop	0.169135
Archdiocese	0.122819
Mayor	0.097767
priest	0.0909793
prelate	0.0848188
pope	0.0791419
"spiritual leader"	0.0781066
"chief justice"	0.0774745
pontiff	0.0760885
"Cardinal John O'Connor"	0.0748584
pastor	0.0739871
Ambassador	0.0736608
Premier	0.0714094
chaplain	0.0712684
"prize winner"	0.0710727
diocese	0.0709527
Chancellor	0.070912
superintendent	0.0702873
Governor	0.0702349
"music director"	0.0698925
laureate	0.0691346
cleric	0.06891
"chairman of the board"	0.0688699
"head of state"	0.068211
"finance minister"	0.0677683
cardinal	0.0669346
"crown prince"	0.0668086
commissioner	0.0665944
CEO	0.0656799
patriarch	0.0652645
"chief operating officer"	0.0651255
clergyman	0.0644034
dean	0.0640012
"commander in chief"	0.0636982
"Serbian Orthodox Church"	0.0636042
commander	0.0635227
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clergy	0.0633448
rabbi	0.0631472
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"chief executive officer"	0.0621039
"chief executive"	0.0619203
Koirala	0.0618958
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nun	0.0605761
native	0.0604005
"foreign minister"	0.0603552
director-general	0.0603109
CEC	0.0600566
Mandela	0.0599712
"cabinet minister"	0.0598359
rector	0.0597519
Moi	0.0596535
"governor general"	0.0592356
"surgeon general"	0.059029
"general secretary"	0.0588943
Masire	0.0587704
"Pope John Paul II"	0.0584724
Khamenei	0.0584011
Lukashenko	0.0579739
"Sonia Gandhi"	0.0575665
secretary	0.0573014
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trustee	0.0566059
monarch	0.0563674
Kaunda	0.0559143
"Archbishop Desmond Tutu"	0.0556583
Sheik	0.0552881
Magistrate	0.0549456
theologian	0.0548672
"secretary of state"	0.0548623
Nasrallah	0.0548009
treasurer	0.0547846
"political leader"	0.0547205
Bulatovic	0.0547039
Deacon	0.0543508
"chief financial officer"	0.0539742
"civil rights leader"	0.05383
Imam	0.0536855
Prewitt	0.0536075
"Panchen Lama"	0.0533692
Ramos	0.0533097
"solicitor general"	0.0531958
"inspector general"	0.0530882
mediator	0.0530339
Congressman	0.0529954
Jovanovic	0.0526269
emir	0.0525609
co	0.052519
monk	0.0525018
"first lady"	0.0522615
vice-president	0.0521531
"chief of staff"	0.0520677
southwest	0.0520672
senator	0.0519728
Nyerere	0.0518797
"executive secretary"	0.0518193
O'Connor	0.0516326
Alatas	0.0515622
Aquino	0.0514075
Mugabe	0.0513103
editor-in-chief	0.0512993
"Li Peng"	0.0509845
suburb	0.0509652
"police chief"	0.0509135
"religious leader"	0.050891
"managing director"	0.0507611
Ombudsman	0.050651
Weizman	0.0506441
D'Alema	0.0506029
legislator	0.0501887
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Wahid	0.0497833
czar	0.0496791
Colonel	0.0496671
"football coach"	0.0496316
"deputy foreign minister"	0.0496024
administrator	0.0495873
"John Paul"	0.0495241
Mahathir	0.0494818
"vice chairman"	0.0494495
"military officer"	0.0494196
ruler	0.0494066
consul	0.0493468
Mordechai	0.0491849
"naval officer"	0.0489059
Duisenberg	0.0488622
undersecretary	0.0487466
Admiral	0.0485725
"labor leader"	0.0485321
diplomat	0.0482673
"deputy chairman"	0.04822
Samaranch	0.0482153
Councilman	0.048041
Stepashin	0.048022
Sharon	0.0478978
"Vladimir Putin"	0.0477666
Peres	0.0475472
Chevenement	0.0475286
sultan	0.0474178
publisher	0.0473925
Jospin	0.047317
friar	0.0470597
Hashimoto	0.0470253
Husseini	0.0469056
Hasina	0.0468067
Comptroller	0.0467374
"lieutenant governor"	0.0466476
Sharif	0.0465588
Estrada	0.0464614
Berri	0.0464298
outskirt	0.0464221
southeast	0.0464204
Wiranto	0.0463514
Buthelezi	0.0462242
"Jean Chretien"	0.0462228
Yeltsin	0.0462098
regent	0.0460724
Waigel	0.0460311
Coelho	0.0457494
"Sam Rainsy"	0.0457094
Danforth	0.0456556
"George Mitchell"	0.0456016
Spyridon	0.0454783
"Nelson Mandela"	0.0454301
prosecutor	0.0453467
Museveni	0.0452659
parish	0.0452631
"Franjo Tudjman"	0.0451982
Alarcon	0.0451963
deputy	0.0451937
curator	0.0451907
missionary	0.0451369
Ecevit	0.0451185
"elected official"	0.0450158
Abubakar	0.0449297
Wolfensohn	0.0449057
president-elect	0.0449015
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executor	0.0448383
Primakov	0.0447779
"executive director"	0.0447416
Westendorp	0.0446102
Goh	0.0445989
Zhou	0.0444687
envoy	0.044445
"William Cohen"	0.0444338
"Romano Prodi"	0.04443
Blair	0.0443997
"Atal Bihari Vajpayee"	0.0443654
editor	0.0443565
chairwoman	0.0443546
Mikhailov	0.0443445
Yassin	0.0442778
advisor	0.0442416
Chiluba	0.0442223
"military leader"	0.0441479
"managing editor"	0.0441118
Prince	0.0441001
Abdullah	0.0440759
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"Yegor Stroyev"	0.170807
"John Shalikashvili"	0.163087
"Desmond Tutu"	0.157673
"Tony Coelho"	0.148295
"Roy Romer"	0.14651
"Marzuki Darusman"	0.138663
"Nur Misuari"	0.133546
"Sumner Redstone"	0.132913
"Jim Nicholson"	0.131456
"George Mitchell"	0.131442
"Bill Archer"	0.127739
"Chea Sim"	0.125766
"Jack Gargan"	0.124166
"Jose Ramos-Horta"	0.121913
"Ricardo Alarcon"	0.12179
"Elie Wiesel"	0.120651
"Gerald Levin"	0.120531
"Dan Burton"	0.119907
"Amien Rais"	0.115453
"Fatos Nano"	0.112029
"Yossi Sarid"	0.111498
"Alija Izetbegovic"	0.111349
"Tom Johnson"	0.1113
"Lamar Smith"	0.111143
"Aung San Suu Kyi"	0.109766
"William Roth"	0.109458
"Oskar Lafontaine"	0.109242
Soyinka	0.108519
"Prime Minister Kamal El-Ganzouri"	0.108217
"Wang Daohan"	0.108021
"Wole Soyinka"	0.107974
"Christopher Cox"	0.107915
"Vaclav Klaus"	0.107669
"Than Shwe"	0.107362
"Martin Lee"	0.107358
"Charles Dolan"	0.107231
"Jacques Rogge"	0.107078
"M. Douglas Ivester"	0.105407
"Lee Hamilton"	0.104118
"Mesut Yilmaz"	0.103425
"William Daley"	0.10149
"Prime Minister Banharn Silpa-Archa"	0.101183
"Norman Schwarzkopf"	0.100407
"Frederick Sumaye"	0.100093
"Mel Karmazin"	0.099572
"Gennady Seleznyov"	0.0995093
"J.C. Watts"	0.0994337
"Brent Scowcroft"	0.0986355
"Billy Payne"	0.0985801
"Jack Welch"	0.0978764
"Jerry Reinsdorf"	0.0977441
Harmoko	0.097734
"Vo Van Kiet"	0.0975618
"Tommy Thompson"	0.0972626
"Atef Obeid"	0.0968034
"Deve Gowda"	0.0966874
"Julian Bond"	0.0961729
"Porter Goss"	0.0956898
"King Abdullah II"	0.095675
"Wlodzimierz Cimoszewicz"	0.0955018
"Ivan Kostov"	0.0952349
R-Alaska	0.0951912
"Alain Juppe"	0.0947823
"Li Ruihuan"	0.0947098
"Gennady Zyuganov"	0.094591
"Shimon Peres"	0.0943115
"Nelson Mandela"	0.0938761
Rais	0.0937297
"Klaus Naumann"	0.0934714
"Yoshiro Mori"	0.0933856
"King Fahd"	0.0930671
"Qiao Shi"	0.0926879
"James Sensenbrenner"	0.0924232
"H.D Deve Gowda"	0.0923711
"Michel Camdessus"	0.0916997
"Chavalit Yongchaiyudh"	0.0909972
"Jerzy Buzek"	0.0908347
"Steve Case"	0.0907419
"Henry Hyde"	0.0906783
"Warren Rudman"	0.0906705
"Tom Davis"	0.0904427
"Gianni Agnelli"	0.0902413
"Paul Keating"	0.090002
"Jack Smith"	0.0899573
"Bulent Ecevit"	0.0895244
"Necmettin Erbakan"	0.0893226
"Richard Butler"	0.088751
"Cyril Ramaphosa"	0.0884626
"Jack Valenti"	0.088037
"Binyamin Netanyahu"	0.0876788
"Sher Bahadur Deuba"	0.0872984
"Thabo Mbeki"	0.0872884
"Yukio Hatoyama"	0.0870108
"Michael Eisner"	0.0869672
Abdel-Meguid	0.0864216
"Jonas Savimbi"	0.085753
"Benazir Bhutto"	0.0854646
"Benjamin Gilman"	0.085209
"Pascoal Mocumbi"	0.0849818
"Pete Domenici"	0.0848901
Misuari	0.0843379
"Dick Pound"	0.0836772
"Robert Aventajado"	0.0834844
el-Ganzouri	0.0833456
"Ted Stevens"	0.08326
"Costas Simitis"	0.0826982
"Atal Behari Vajpayee"	0.0825224
"Pan Africanist Congress"	0.0822115
"Bashkim Fino"	0.0819298
"Paavo Lipponen"	0.0818878
"Girija Prasad Koirala"	0.0818456
"Fred Thompson"	0.0814375
"John Boehner"	0.0812671
"Jim Leach"	0.0812227
"King Hassan II"	0.0810477
Izetbegovic	0.079444
"Sam Nunn"	0.0791893
"Mitch McConnell"	0.0788921
"Alan Greenspan"	0.0788057
"Esmat Abdel Meguid"	0.0784829
"John Warner"	0.0784547
"Salim Hoss"	0.0783289
"Phan Van Khai"	0.0782039
"Tomiichi Murayama"	0.0781534
"I.K Gujral"	0.0779565
"government officials"	0.0779187
"Inder Kumar Gujral"	0.077903
"Richard Shelby"	0.0777544
"Zhou Guangzhao"	0.0776744
"Kim Yong Nam"	0.0772687
"Jesse Helms"	0.0772658
"Yasser Arafat"	0.0772031
"Milos Zeman"	0.0767126
"Tian Jiyun"	0.0763696
"John Browne"	0.0763316
al-Bashir	0.0763237
"Chuan Leekpai"	0.076215
"Sepp Blatter"	0.0760982
"Olusegun Obasanjo"	0.0760246
"Mikulas Dzurinda"	0.0757904
"John Sweeney"	0.0757723
R-N.M.	0.075637
"Gene Sperling"	0.0755517
"Boutros Boutros Ghali"	0.0754372
"Hugh Shelton"	0.0753752
R-Del.	0.0753665
"Yuri Maslyukov"	0.0746036
"Romano Prodi"	0.0744705
"Joaquim Chissano"	0.0743276
"Li Peng"	0.0742498
"Frank Joklik"	0.0736721
"Michael Dell"	0.073622
"Hans Blix"	0.0733532
"Colin Powell"	0.0733445
"Orrin Hatch"	0.0732226
"Valery Pustovoitenko"	0.0728335
"Suu Kyi"	0.0728316
"Chief Executive Tung Chee-hwa"	0.07255
"Jordanian King Abdullah Bin Hussein"	0.0723686
Moi	0.0723437
"Jordanian King Hussein"	0.0721537
"Gro Harlem Brundtland"	0.0721416
"Atal Bihari Vajpayee"	0.0720503
"Sergei Stepashin"	0.0719187
Nujoma	0.0716897
"Penny Heyns"	0.0716404
"Lionel Jospin"	0.071301
"Abdurrahman Wahid"	0.0711988
"Martti Ahtisaari"	0.0711007
"Chris Patten"	0.0709203
"Begum Khaleda Zia"	0.0709186
Ganzouri	0.0707857
R-Iowa	0.0707219
"Orlando Mercado"	0.0705838
"Goran Persson"	0.0704539
"Lucio Tan"	0.0704113
"Qian Qichen"	0.0702242
"Defense William Cohen"	0.0701623
"Robert E. Rubin"	0.0700808
"Wolfgang Schaeuble"	0.0699444
"Koo Chen-fu"	0.0696902
"Michel Platini"	0.069543
"Rolf Ekeus"	0.0695288
"President Hafez Al-Assad"	0.0695192
R-Ala.	0.0691001
"Meles Zenawi"	0.0686212
"Howard Baker"	0.0686056
R-Wis.	0.0685964
R-Ind.	0.0683673
"Seamus Heaney"	0.0683641
"David Trimble"	0.0683226
"Don Young"	0.0683033
"Jacques Santer"	0.0681736
"Gabriel Garcia Marquez"	0.0680901
"Martin Frost"	0.0680169
"Richard Lugar"	0.0679387
"Dan Miller"	0.067858
"Minister Shlomo Ben-Ami"	0.0678105
Kennard	0.0677191
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(Archdiocese (desc 13302) (sims
diocese	0.238806
Archbishop	0.122819
"Church of England"	0.103333
parish	0.10299
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bishop	0.0816191
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ACLU	0.0763554
BIA	0.0762984
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OSHA	0.0699677
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denomination	0.0692595
NTSB	0.0687255
Harris-Lewis	0.0673622
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university	0.0666282
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suburb	0.0609254
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INS	0.0603694
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"Department of Transportation"	0.0599477
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ministry	0.057971
FAA	0.0578503
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Convent	0.0574581
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TDC	0.0571763
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USOC	0.0570206
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AFL-CIO	0.0569384
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Caritas	0.0567512
SLOC	0.056535
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Wyeth-Ayerst	0.0561037
bureau	0.056088
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CAA	0.0557041
seminary	0.0556498
USAID	0.0554886
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SEC	0.054562
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Greenpeace	0.054417
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"Education Ministry"	0.0533095
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HUD	0.0528148
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UNHCR	0.0527143
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SBA	0.0526362
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EPA	0.0525601
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"Blue Cross"	0.0521967
"Consumer Federation"	0.0521759
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FEMA	0.0520541
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"French Foreign Ministry"	0.0519705
"National Organization"	0.0519284
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NAACP	0.0517635
"power company"	0.05174
congregation	0.0516629
federation	0.0516444
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clergymen	0.0512582
"National Transportation Safety Board"	0.051197
UNICEF	0.0511737
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"U.S. Olympic Committee"	0.051068
Smithsonian	0.0509212
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"National Association of Broadcasters"	0.0508059
DEA	0.0507789
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FTC	0.0506981
"Eliot Spitzer"	0.050575
"magazine publisher"	0.0505709
"International Committee"	0.0505425
"Interior Ministry"	0.0505286
"Service Employees International Union"	0.0502431
"Chinese Foreign Ministry"	0.0501806
"Philip Morris Cos."	0.0501783
NEA	0.0501548
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DEP	0.0499522
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"district attorney"	0.0496766
"nonprofit organization"	0.0495373
"city limit"	0.0495125
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AAA	0.0489367
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slum	0.0488552
priest	0.048765
Pentagon	0.0487566
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"Department of Agriculture"	0.0486435
"public school"	0.0486214
"World Food Program"	0.0485903
UNRWA	0.0485874
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(archenemy (desc 1115.18) (sims
tormentor	0.0642476
accuser	0.0586095
"Revolutionary Guards"	0.0577727
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vis-a-vis	0.0559921
test-firing	0.0545263
disbarment	0.0532878
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paramour	0.0531514
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renomination	0.0497481
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autocracy	0.0485411
arch-rivals	0.0481956
chimera	0.047049
soulmate	0.0444153
consort	0.0442254
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avocation	0.0434655
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co-owners	0.0428046
protectorate	0.0425094
richest	0.0423817
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theocracy	0.041939
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oppressor	0.040761
antagonist	0.0402893
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archaeologist	0.324984
geologist	0.193408
paleontologist	0.17857
researcher	0.151193
anthropologist	0.150106
scientist	0.149268
biologist	0.145939
astronomer	0.144512
sociologist	0.141013
zoologist	0.139409
botanist	0.137937
historian	0.136815
agronomist	0.136503
linguist	0.136452
mathematician	0.132452
scholar	0.131938
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seismologist	0.122754
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psychologist	0.112565
expert	0.109606
physicist	0.107415
technician	0.105745
"art historian"	0.103907
professor	0.102882
archivist	0.102183
engineer	0.101872
demographer	0.101011
academician	0.0980912
geographer	0.0972198
educator	0.0968906
rescuer	0.0938217
investigator	0.093557
geophysicist	0.0930023
toxicologist	0.092468
ornithologist	0.0924249
economist	0.0914914
geneticist	0.0913452
specialist	0.0897868
ecologist	0.0896968
enterpreneurs	0.0889671
entomologist	0.0871701
clinician	0.0867719
mountaineer	0.0859125
conservationist	0.0857245
psychoanalyst	0.0854416
"computer scientist"	0.0854373
searcher	0.084829
academic	0.0847077
chemist	0.0843614
oceanographer	0.0843365
folklorist	0.0838394
diver	0.0834067
curator	0.0833448
genealogist	0.0828249
pathologist	0.0828078
veterinarian	0.081558
decision-makers	0.080889
statistician	0.0800285
sculptor	0.0796135
environmentalist	0.0794944
forecaster	0.0794686
businesspeople	0.0791787
auditor	0.0785673
restorer	0.0784559
surgeon	0.0781744
planner	0.0780505
theorist	0.0780475
"economic expert"	0.0777066
meteorologist	0.0776077
surveyor	0.0774159
"computer expert"	0.0771663
physician	0.0769283
Industrialist	0.0759737
immunologist	0.0753597
cardiologist	0.0750793
statesmen	0.075031
epidemiologist	0.0748447
"government officials"	0.0743948
calligrapher	0.0743209
Explorer	0.0739495
entrepreneur	0.0737747
philosopher	0.073384
architect	0.0733157
"political scientist"	0.0725005
biochemist	0.0722992
journalist	0.0721209
criminologists	0.0720356
librarian	0.0718928
photographer	0.0715858
"business executive"	0.0709845
firefighters	0.0705295
"military officer"	0.0704939
theologian	0.0704891
ethicists	0.0703557
nutritionist	0.0703008
medic	0.0702247
musicologist	0.0701567
psychiatrist	0.0695961
neurologist	0.0695669
businessmen	0.0695373
naturalist	0.0693654
cartographer	0.0690093
craftsmen	0.0684806
pollster	0.068371
jurist	0.0680507
diplomat	0.0679656
"landscape architect"	0.0678328
educationist	0.0676122
detective	0.067348
"graduate student"	0.0672952
"art dealer"	0.0667894
conservator	0.0664051
"medical specialist"	0.0663902
urologist	0.0663805
preservationists	0.0662529
reviewer	0.0660121
"army officer"	0.0652885
filmmakers	0.0651996
pharmacologist	0.0649022
designer	0.064643
winemaker	0.064632
pediatrician	0.064271
Crews	0.0642591
Cui	0.0641931
"social worker"	0.063668
"policy maker"	0.0635768
lecturer	0.0635745
intellectual	0.0633047
observer	0.0632954
"Wall Street analyst"	0.063035
technologist	0.0629995
neurosurgeon	0.0629843
lexicographer	0.0627931
"associate professor"	0.0627559
painter	0.0625805
"administration official"	0.0622664
"health professional"	0.062255
fellow	0.0621986
consultant	0.0621666
collector	0.0621572
"business leader"	0.062157
"private investigator"	0.0618201
Programmer	0.0613407
ethicist	0.0611599
"federal official"	0.0610902
"computer programmer"	0.0605641
appraiser	0.0604178
banker	0.0600891
"faculty member"	0.0597683
"interior designer"	0.0597013
rabbi	0.0596731
herbalist	0.0596303
internist	0.0596117
translator	0.059453
animators	0.0592088
musician	0.0591208
climber	0.0589868
preservationist	0.058353
administrator	0.0582418
inspector	0.0581847
Fishermen	0.0578691
workmen	0.057803
astrophysicist	0.057618
"bird watcher"	0.0575671
statesman	0.0575171
pundit	0.0573729
"fashion designer"	0.0573243
sleuth	0.0569587
"skilled worker"	0.0568075
watcher	0.0565579
activist	0.056531
personage	0.0564598
restaurateur	0.0564342
"labor leader"	0.05637
commentator	0.0562862
microbiologist	0.0560311
horticulturist	0.0558986
chef	0.0558735
"medical examiner"	0.0558008
contractor	0.0556705
"foreign officials"	0.0556616
regulator	0.0556056
physiologist	0.0553793
buff	0.0552778
missionary	0.0551875
excavator	0.0551788
firemen	0.0551691
"management personnel"	0.055129
novelist	0.055106
accountant	0.0549989
Hunter	0.0549866
"film maker"	0.0549594
strategist	0.0549457
hobbyist	0.0548937
villager	0.0548878
clergymen	0.0546433
thinker	0.0546177
"project manager"	0.0545968
oncologist	0.054539
))
(archeology (desc 3911.07) (sims
archaeology	0.235317
anthropology	0.168343
geology	0.1548
zoology	0.150966
Botany	0.147126
geophysics	0.13981
astronomy	0.131418
linguistics	0.12486
"fine arts"	0.122669
paleontology	0.118341
microbiology	0.117524
pharmacology	0.113651
sociology	0.113491
folklore	0.112326
seismology	0.1117
biology	0.105153
geography	0.104904
"social science"	0.104418
"folk art"	0.102716
genetics	0.0996536
hydrology	0.0980382
"political science"	0.0965041
architecture	0.095598
epidemiology	0.0955396
literature	0.0953087
"physical education"	0.0947168
biochemistry	0.09435
geriatrics	0.0931779
astrophysics	0.0919376
physics	0.0906488
"civil engineering"	0.0898731
Immunology	0.089532
"information science"	0.0893226
"computer science"	0.0887379
"natural history"	0.0883301
"fine art"	0.0876806
"comparative literature"	0.0867435
horticulture	0.0866902
mathematics	0.0864695
pathology	0.085733
"preventive medicine"	0.0855461
psychology	0.0855459
ecology	0.0842996
meteorology	0.083525
dermatology	0.0830167
neuroscience	0.0828844
psychiatry	0.0824991
dentistry	0.0821629
"natural science"	0.0799935
"urban planning"	0.0787787
physiology	0.0779082
engineering	0.0776092
oceanography	0.0768527
criminology	0.0764652
"earth science"	0.0763532
astrology	0.0753276
civics	0.0750005
Anatomy	0.0745341
nursing	0.0743271
ophthalmology	0.0735284
"city planning"	0.0734644
radiology	0.0727626
mountaineering	0.072677
economics	0.0723262
genealogy	0.0717011
Urology	0.0711765
"medical science"	0.0699955
theology	0.0687073
"environmental science"	0.0685877
mythology	0.0679403
"chemical engineering"	0.0678129
photography	0.0670481
"biological science"	0.066906
"molecular biology"	0.0651951
prehistory	0.0650654
calligraphy	0.0648315
connoisseurship	0.0640192
oncology	0.0637925
neurology	0.0633502
Chemistry	0.0624913
poetry	0.0621471
antiquity	0.061903
math	0.0617309
scenery	0.0616642
aeronautics	0.0612222
Journalism	0.0612198
"life science"	0.0612013
"elementary education"	0.060406
algebra	0.0602935
trivia	0.0602608
genomics	0.0599314
"mechanical engineering"	0.058758
"electrical engineering"	0.0579186
artifact	0.0565382
geopolitics	0.0562658
endocrinology	0.0560651
"political economy"	0.0560593
"interior design"	0.0556361
urbanism	0.0551714
"Museum of Chinese History"	0.0548594
biophysics	0.0546555
"artificial intelligence"	0.0546541
jurisprudence	0.05465
"internal medicine"	0.0546492
nutrition	0.0546239
bioengineering	0.0546211
aviation	0.0544812
biotechnology	0.0542759
"computer graphics"	0.0542379
cosmology	0.0540264
ceramic	0.0539404
Pediatrics	0.053899
"oil painting"	0.0535775
handicraft	0.0533241
neurobiology	0.0529028
psychoanalysis	0.0527947
Toxicology	0.0526832
calculus	0.0523252
excavation	0.051916
"mental health"	0.0516654
ecotourism	0.0514546
"higher education"	0.0514388
Cardiology	0.0514217
leisure	0.0506365
lore	0.0503454
demography	0.0502245
philanthropy	0.0499578
divinity	0.0493703
"special education"	0.0491211
Americana	0.0489323
"nuclear physics"	0.0488807
"musical theater"	0.0488434
forestry	0.0483625
"historical document"	0.0482072
"landscape painting"	0.0477487
obstetrics	0.0477463
metallurgy	0.0476601
cryptography	0.0475624
"adult education"	0.0470636
reforestation	0.0468245
woodworking	0.0467422
"social work"	0.0466653
"art collection"	0.0465491
robotics	0.0465345
Pottery	0.0463952
"print media"	0.0463494
"maritime law"	0.045937
"animal husbandry"	0.0458778
"art department"	0.0458711
conservancy	0.0457694
liturgy	0.0457187
entrepreneurship	0.0452123
"alternative medicine"	0.0451553
"conflict resolution"	0.0451092
gynecology	0.0448282
"medical history"	0.0446474
Masterworks	0.0442686
"computer programming"	0.0439371
"international law"	0.0439166
fauna	0.0438156
spirituality	0.0436905
Impressionism	0.0436421
Kiswahili	0.0436089
"criminal law"	0.043276
forensics	0.0432499
Buddhism	0.0432388
snowshoes	0.0430075
acupuncture	0.0429026
computing	0.0428438
Talmud	0.042404
arts	0.042315
"architectural style"	0.0418722
"communications technology"	0.0418617
"Smithsonian Institution"	0.0418323
telemedicine	0.0417089
"martial art"	0.0415822
"work of art"	0.0408699
collectibles	0.0408584
memorabilia	0.0405769
acoustic	0.0405203
biodiversity	0.0404647
Etiquette	0.0402688
flora	0.0402236
))
(Archer (desc 12728.7) (sims
Gramm	0.129392
Lott	0.121223
Hastert	0.117815
Hyde	0.112431
Kyl	0.11233
"Bill Archer"	0.111583
Armey	0.110807
Kennard	0.10918
Daschle	0.0979233
Helms	0.0978493
Pataki	0.0977909
Feinstein	0.0962227
Moynihan	0.09538
Livingston	0.0949457
Tauzin	0.0940561
Domenici	0.0940357
Gephardt	0.0936136
Gingrich	0.0929196
Rowland	0.0926097
Ashcroft	0.0922428
Cellucci	0.0919027
Carnahan	0.0917407
Coverdell	0.0916862
McConnell	0.0915301
Torricelli	0.0903388
Taft	0.0903119
Roth	0.0897077
Riordan	0.0894037
Levin	0.0890109
Lautenberg	0.0886164
Richardson	0.0882707
Jeffords	0.0882679
Gilman	0.0881163
Breaux	0.0878789
"Majority Whip Tom DeLay"	0.0877625
Kasich	0.0875533
Barr	0.0867762
Thurmond	0.0860549
Giuliani	0.0859868
Chafee	0.0854305
Difrancesco	0.0850353
Burton	0.084286
Whitman	0.0840424
Gorton	0.083734
Maslyukov	0.0837319
Schumer	0.0831807
Nickles	0.0823514
Brownback	0.0821554
DOLE	0.0821517
Robertson	0.0819325
Leach	0.0818124
Shalala	0.0812043
"House Majority Whip Tom DeLay"	0.0811825
Samaranch	0.0805392
Kolbe	0.07978
Spitzer	0.0791333
"Lamar Smith"	0.0790466
Cuomo	0.0790328
shuttlers	0.0789414
Hoffmann	0.0788894
Boehner	0.0788459
Obuchi	0.0784573
Vallone	0.0782965
McCaffrey	0.0781425
"Kay Bailey Hutchison"	0.0778073
"Phil Gramm"	0.0776455
Craig	0.0776425
Shaheen	0.0776121
Cohen	0.0776013
Blair	0.0773826
Zedillo	0.0770534
"Christie Whitman"	0.076659
Wolfson	0.0765397
Linder	0.0763878
Hagel	0.0761129
Gregg	0.0757571
Zarb	0.0756442
Greenspan	0.0755735
Estrada	0.0753665
Bauer	0.075307
Leavitt	0.0752687
Shelby	0.0750304
Pelosi	0.0750121
Cornyn	0.0744794
Meissner	0.0743232
Rubin	0.0742787
Kim	0.0742464
Ivester	0.0742216
Babbitt	0.073788
hatch	0.0734333
Murkowski	0.0734231
"Henry Bonilla"	0.0731941
Lukashenko	0.0730504
Dowd	0.0727361
Annan	0.0719398
Lieberman	0.071854
McCain	0.0718249
Bliley	0.0716225
Weizman	0.071508
Putin	0.0713859
Hoffa	0.0713782
Safir	0.0712579
D'Alema	0.0710957
Barshefsky	0.0710894
"John G. Rowland"	0.0710128
Barnes	0.0705527
Arafat	0.0705377
Ecevit	0.0701113
Mandela	0.0699035
Menem	0.0697995
Blatter	0.0697947
Gilmore	0.0697663
Goldin	0.0697621
Singson	0.0697351
Barrett	0.0697318
McCollum	0.0696492
Kerrey	0.0696219
smith	0.0695337
"Tom DeLay"	0.0694772
Pastrana	0.0694285
Mbeki	0.0691601
Schroeder	0.0691173
Coburn	0.0689796
Berger	0.0689787
Bradley	0.0688224
Hodler	0.0688095
Joklik	0.0687446
Fischer	0.0687343
Reilly	0.06864
Harshbarger	0.0685486
Albright	0.0680629
Welch	0.0677174
Beilin	0.067675
Mugabe	0.0676458
Lee	0.0674777
SHUSTER	0.0673418
Draskovic	0.0673017
Engler	0.0672361
Ritter	0.0672147
Scharping	0.0671556
senator	0.0670879
Dingell	0.0670553
Markey	0.0670523
Hayden	0.0670467
Reno	0.0669912
"Orrin Hatch"	0.0669386
Fieger	0.0668242
Coelho	0.066808
Betts	0.0667962
Hashimoto	0.0667825
Corzine	0.0667438
Simitis	0.0667202
McCall	0.0666773
Snowe	0.066487
Tung	0.0664863
Thompson	0.0664702
Hutchison	0.0663831
Selig	0.0663744
Hayworth	0.0663175
D'Amato	0.066135
"Dan Miller"	0.0660881
Howard	0.0660823
Yeltsin	0.0660661
Bustamante	0.0660511
Cooley	0.0659332
Nethercutt	0.065885
Payne	0.0658481
Wahid	0.0658029
Kendall	0.0657718
"Jeb Bush"	0.0656826
Dunn	0.0656698
Chen	0.0656689
Flanagan	0.0656517
Voinovich	0.0654438
Vacco	0.0653695
Abdullah	0.0652889
Caddell	0.0652139
Ciampi	0.0651703
Bragman	0.0651633
Chirac	0.0650628
Ramos	0.0649538
Evans	0.0649478
Mahathir	0.0649378
Daley	0.064621
"House Republicans"	0.0645151
Cheney	0.0645069
"Henry Hyde"	0.0644977
Mandelson	0.0644521
Grassley	0.0643837
Wellstone	0.0643461
"De Klerk"	0.0643405
Buchanan	0.064259
Kennedy	0.064168
Galvin	0.0640725
Mauro	0.0640563
"John Cornyn"	0.0639947
Shipley	0.0639806
Macdonald	0.0639548
Quackenbush	0.0639277
Peres	0.0639083
))
(archery (desc 6384.52) (sims
judo	0.378817
weightlifting	0.351184
"table tennis"	0.34582
taekwondo	0.333231
Gymnastics	0.305711
"water polo"	0.289846
badminton	0.287547
rowing	0.283285
volleyball	0.271946
pentathlon	0.247802
handball	0.242233
"field hockey"	0.242017
Wushu	0.241311
cycling	0.236243
"track and field"	0.230666
swimming	0.229014
triathlon	0.228859
Yachting	0.219814
karate	0.212695
softball	0.209057
fencing	0.207839
billiards	0.192534
snooker	0.190562
boxing	0.18724
wrestling	0.186917
equestrian	0.180694
diving	0.173807
skeet	0.172627
tennis	0.16786
athletics	0.166943
Bowling	0.158931
dressage	0.152011
soccer	0.14535
epee	0.14442
"ballroom dancing"	0.143308
takraw	0.140452
"figure skating"	0.140257
squash	0.136462
bodybuilding	0.125276
"ice hockey"	0.122414
Skating	0.116976
basketball	0.114576
chess	0.110709
decathlon	0.108263
"hammer throw"	0.107094
"mountain climbing"	0.105917
"World Championship"	0.105639
Rugby	0.105495
skiing	0.104418
biathlon	0.103466
"martial art"	0.102484
netball	0.102219
Heptathlon	0.100868
bicycling	0.0998651
boating	0.099785
golf	0.0972429
snorkeling	0.0961202
skateboarding	0.0960722
bobsled	0.0957982
scull	0.0937354
lacrosse	0.0929498
parachuting	0.0929095
hockey	0.0927623
"pole vault"	0.0923225
"long jump"	0.0920087
freestyle	0.0876454
backstroke	0.0872103
steeplechase	0.085701
"horseback riding"	0.085319
"scuba diving"	0.0844603
"shot put"	0.0842162
cricket	0.0839796
halfpipe	0.0833351
"Pan Ams"	0.0828798
"Skate America"	0.0828174
"Thomas Cup"	0.0826569
"Fed Cup"	0.082497
Super-G	0.0824284
"cross country"	0.0810868
breaststroke	0.0803427
aerobics	0.0794722
"World League"	0.0784103
"horizontal bar"	0.0777576
"three-day event"	0.0776569
"ski jump"	0.0769151
men's	0.0764206
"high jump"	0.0754924
"National Invitation Tournament"	0.0745423
javelin	0.0744189
"horse racing"	0.0737342
sailing	0.0735918
EuroLeague	0.0725409
"Hopman Cup"	0.0722601
ping-pong	0.0717852
karaoke	0.0717767
"ice skating"	0.0716837
"Pan Am Games"	0.0714655
"Uber Cup"	0.0709669
golfing	0.0705631
"ski jumping"	0.0700882
"Top Fuel"	0.0697546
three-meter	0.0693838
"parallel bars"	0.0686932
"Sudirman Cup"	0.0682547
jogging	0.0677371
marathon	0.0670842
mountaineering	0.0668053
"round robin"	0.0664945
hiking	0.0652897
snowboard	0.0646207
"clean and jerk"	0.0644304
"pommel horse"	0.064169
pre-Olympic	0.0639969
luge	0.0638726
"match play"	0.0637082
under-@@	0.0633996
"Federation Cup"	0.0632055
aquatics	0.0630111
"College World Series"	0.0630099
slam-dunk	0.062764
medley	0.0623053
springboard	0.0619713
"Nations Cup"	0.0616038
"Asian Games"	0.061499
"relay race"	0.0611287
"mountain bike"	0.0608392
"Goodwill Games"	0.0602858
"Dunhill Cup"	0.0598743
surfing	0.0595875
"US Open"	0.059055
"Commonwealth Games"	0.0587669
aerial	0.0586119
"Hamlet Cup"	0.0583843
Asiad	0.0583576
trampoline	0.058239
kayak	0.0581727
"stroke play"	0.0579634
slalom	0.0573135
"rock climbing"	0.0569775
"Pan American Games"	0.0569352
"roller skating"	0.0569287
hurdle	0.0565931
"Davis Cup"	0.0565596
"won nine"	0.0557507
"Big Sky Conference"	0.0554951
hardcourt	0.0554467
"European Cup"	0.0545343
relays	0.0545087
butterfly	0.0540868
"Copa America"	0.0539553
"Pan Pacific"	0.0538228
"track event"	0.0537488
"balance beam"	0.0536386
"Southwest Conference"	0.0536151
dinghy	0.0532943
"Barcelona Games"	0.0530134
Ironman	0.0527477
pistol	0.052674
"SEA Games"	0.0522266
"U.S. Senior Open"	0.0519768
fly-fishing	0.0518943
GP	0.0518499
Polo	0.0518327
jumping	0.0514633
"Le Jingyi"	0.0513902
"United States Open"	0.0513448
scuba	0.051336
"Swiss Open"	0.0511544
Frisbee	0.0508105
ATP	0.0506975
rodeo	0.0505364
Paralympics	0.0501535
"Wang Junxia"	0.0500768
"Japan Open"	0.049902
curling	0.0498862
ISU	0.0496694
"Gold Cup"	0.04947
"Hong Kong Open"	0.0492004
CAA	0.0490261
tourney	0.0482322
shuttlers	0.0481392
"professional basketball"	0.0481116
"National Games"	0.0480599
"Atlanta Olympic"	0.0480316
"Division @"	0.0479208
"Busch Series"	0.0473973
Lipton	0.047348
"fox hunting"	0.047311
"professional golf"	0.0471062
"basketball league"	0.0471013
knitting	0.0470845
flyweight	0.0468796
"Italian League"	0.0466277
stabbings	0.0466265
saber	0.0465653
"Champions Cup"	0.0464672
"Acura Classic"	0.0463541
dribbling	0.0460566
"Division I-AA"	0.0459574
"Ye Zhaoying"	0.045457
))
(archetype (desc 5876.73) (sims
trope	0.0725087
cliche	0.0717536
caricature	0.0659933
personae	0.0652814
stereotype	0.064505
totem	0.0622141
"alter ego"	0.0610857
kitsch	0.0600083
icon	0.0557341
heroine	0.0550563
fantasy	0.0541021
idol	0.0527847
"television star"	0.0520852
thespian	0.0513427
genre	0.0512833
embodiment	0.0507777
groupie	0.0500759
myth	0.049575
persona	0.0495149
"role model"	0.0491811
"art form"	0.0479757
aphorism	0.047695
scriptwriter	0.0476926
virility	0.0474774
endorser	0.0473548
oppressor	0.0468028
heartthrob	0.0467115
starlet	0.0467028
"belly dancer"	0.0465563
idiom	0.0460858
diva	0.0459179
lore	0.0457441
co-anchor	0.0452222
fiction	0.044714
absolutes	0.0446739
"sneak preview"	0.0439917
vaulter	0.0438026
phenoms	0.0437793
fable	0.0437723
antecedent	0.0435338
womanhood	0.0431651
Incarnation	0.0431358
subconscious	0.0427658
avocation	0.0427416
detritus	0.042577
axiom	0.0424426
obstructionist	0.0423544
aura	0.0422924
vagabond	0.042178
"embryonic cell"	0.042159
"pen pal"	0.0420988
motif	0.0420918
Anatomy	0.0420263
Truism	0.0418717
aesthetic	0.0417987
"leading lady"	0.0417978
multimillionaires	0.0417047
bedfellow	0.0412262
protagonist	0.0410983
vernacular	0.0408153
antihero	0.0404559
deejays	0.0400844
))
(Archie (desc 3416.38) (sims
Spider-Man	0.0886315
superhero	0.0820544
"Donald duck"	0.0774008
Danny	0.0758711
beamer	0.0727931
Sherrill	0.071263
Mendez	0.0692051
Pegram	0.0684057
Allan	0.068303
Mario	0.0667044
Linda	0.066321
Artest	0.0658407
"John J. Gotti"	0.0657459
Dilbert	0.0653056
Susan	0.0635605
"Charlie Brown"	0.06345
Agnes	0.0628407
Superman	0.062136
Piot	0.061924
Parris	0.060801
"traveling salesman"	0.060464
Eric	0.0603808
Jerry	0.0600111
Kathy	0.059696
Lois	0.0594873
"Kim Il Sung"	0.0593231
X-MEN	0.0592846
Walter	0.059104
Clyde	0.0589175
Brad	0.0581382
Cassandra	0.0580177
El-Amin	0.0579708
Mel	0.0579276
Roberson	0.0579016
Dunleavy	0.0576762
Betty	0.0574201
Ted	0.0570656
Francis	0.0570596
Geiger	0.0569457
Carl	0.0568852
Murrell	0.0568295
Guthridge	0.0567513
Hefner	0.0566305
Stackhouse	0.0565793
Samuelson	0.0564419
Wilkens	0.0562509
Gogel	0.0558596
Nicholas	0.0556618
Ron	0.0555318
Summitt	0.0553904
Jorge	0.055211
Steve	0.0551468
Skiles	0.0549753
Zambrano	0.0546465
Neil	0.0544482
"Breda Kolff"	0.0543872
Batman	0.054368
Ernie	0.0542296
Ratner	0.0541122
Phil	0.0540902
Jim	0.0539658
"Juan Miguel"	0.053931
Richard	0.0537604
Ramon	0.0536874
Julio	0.0536221
Romanowski	0.053595
Evan	0.0535705
Eddie	0.053377
Fred	0.0533581
Ruggiero	0.0532489
"Kevin Bacon"	0.0531078
Rahman	0.0530554
Saul	0.0530219
Alford	0.0526742
Ftorek	0.052595
Joseph	0.0523935
Andreychuk	0.0523303
Sam	0.0522287
Finkel	0.0519533
"Leon Hess"	0.0519298
Harry	0.0519291
Kenny	0.0518257
Ganassi	0.0516928
Nate	0.0516869
Bratton	0.0516721
"Derrick Thomas"	0.0516473
Roger	0.0516406
Dayne	0.0514672
"A.P Indy"	0.0514659
Doug	0.0514015
Nunez	0.0513571
Monson	0.0513206
Coffey	0.051199
Braswell	0.0511914
Julian	0.0511776
Valerie	0.0510873
Prewitt	0.0510454
Naipaul	0.0509977
Connie	0.0509549
Calipari	0.0507579
Tommy	0.0507504
Benjamin	0.0507044
Adrian	0.0505992
Paul	0.0505279
"John Jr."	0.0505275
newspaperman	0.0504837
Randy	0.0504818
Owen	0.0504644
Jeb	0.0504377
Phillip	0.050403
shoemaker	0.0502254
"Dale Jr."	0.05017
Ernest	0.050105
Gorter	0.0500913
Molinari	0.0500784
Sykes	0.0499141
Karmazin	0.0499023
Clint	0.0498776
William	0.0497934
Shinn	0.0495278
Kushner	0.0495118
Hensley	0.0494251
Elam	0.0493737
Shirley	0.0491994
mailman	0.0490431
Jeffers	0.0489957
Fassett	0.0489711
Ed	0.0489641
Billy	0.0489592
Bonner	0.0489575
Frederick	0.0489554
Smits	0.0488791
Curtis	0.0488739
Sally	0.0488666
Holmes	0.0487939
Penders	0.0487698
Justin	0.0486634
Kyle	0.0486631
Drabinsky	0.0485942
Brian	0.048577
"Ryan Kealy"	0.0485472
"Earnhardt Jr."	0.048232
Charlie	0.0481978
Edward	0.0481078
Steven	0.0480928
Kuehne	0.0479865
Quigley	0.0479623
Samuel	0.0479363
Rick	0.0478837
Darnell	0.0478725
"Walter Matthau"	0.047823
Kirkpatrick	0.0478171
"John Lennon"	0.0477064
DeBerg	0.0476193
Frye	0.0475961
Chris	0.0475459
"Company of Men"	0.0475153
"Justin Rose"	0.0474833
Clifford	0.0474464
Buffy	0.0474428
Hornaday	0.047434
Padilla	0.0473118
Mustafa	0.0472827
Fulmer	0.0472806
Bernard	0.0472666
Dave	0.0472482
Teletubbies	0.0471981
Len	0.0470963
"Jerry Seinfeld"	0.0470832
Lawrie	0.0470828
"Anakin Skywalker"	0.0470547
Yitzhak	0.0470466
Andrade	0.0470088
Donald	0.0469864
onscreen	0.0468722
Popovich	0.046826
Amy	0.0467418
Russo	0.046677
MCGEE	0.0466642
Rodionov	0.0466378
Tuiasosopo	0.0465465
Arthur	0.0465396
"Phil Simms"	0.0464665
Antley	0.0464529
Calvary	0.0464351
Gerard	0.0463712
McKay	0.0463052
Biskind	0.0462249
Tuberville	0.0462176
Rongen	0.0462098
Polian	0.0461576
Leon	0.046137
"Murphy Brown"	0.0461042
Beth	0.0460797
Finn	0.0460529
Kathleen	0.045933
Mendes	0.045911
Charles	0.0458699
Gossage	0.0458652
Jacke	0.0458045
))
(Archimedes (desc 1693.63) (sims
Messiaen	0.0891586
"Samuel Beckett"	0.0871152
Trollope	0.0848737
LaChiusa	0.0840196
Ofili	0.0803392
Schoenberg	0.0803015
Chaucer	0.078624
"Sigmund Freud"	0.0762166
Pushkin	0.0726494
Nostradamus	0.0715275
Berlioz	0.0696334
Sanskrit	0.0688587
Ibsen	0.0685356
Freud	0.0666184
Heade	0.0643085
Welty	0.0642396
Eameses	0.0628681
"Albert Einstein"	0.062154
Gutman	0.0614566
"Oscar Wilde"	0.0598748
Borges	0.0595483
"Andreas Papandreou"	0.0588044
Nietzsche	0.0582727
Weil	0.0581918
"Edgar Allan Poe"	0.0578137
McPhee	0.0575796
"Toni Morrison"	0.0573924
Eisenman	0.0553057
calligrapher	0.055001
Plath	0.05475
Gorey	0.0532221
Whaley	0.0531649
McGraw-Hill	0.0502975
Pirelli	0.0501792
folio	0.0496481
"New Testament"	0.0489479
Shostakovich	0.0489434
Pu	0.0488334
Kusama	0.0487157
Theroux	0.0485608
"Vincent van Gogh"	0.0480556
Finney	0.0473855
"Mao Zedong"	0.0469561
shipowner	0.0467295
"Jeffrey Wigand"	0.0465496
Sheehy	0.04642
Rongen	0.0462283
Montalvo	0.0462042
Chekhov	0.0458407
Nabokov	0.0454833
Matisse	0.0453403
"Charles Darwin"	0.0453112
Austen	0.0451666
"Man Ray"	0.0450646
Figgis	0.0450552
"Thomas Mann"	0.0446354
"poring over"	0.0444903
Wharton	0.0432422
Einstein	0.0430364
Gullit	0.0427592
Cohn	0.0425549
Fleischer	0.0421409
Gogh	0.0420933
"City Ballet"	0.0418943
Bavasi	0.0416377
Beckett	0.0416251
Weiner	0.041535
Nobel	0.0414313
Scientology	0.0414141
Brokaw	0.0413086
Holl	0.0412144
Tharp	0.0409607
Manet	0.0407785
Muir	0.0407506
Puzo	0.0407234
Thoreau	0.0402488
Logue	0.0402271
Goethe	0.0401213
))
(archipelago (desc 15149.2) (sims
island	0.128477
atoll	0.111121
"Abu Musa"	0.0800148
"Diaoyu Islands"	0.075393
isle	0.0752974
Pemba	0.0733716
Instinet	0.0728893
coastline	0.071658
islet	0.0712163
peninsula	0.0710634
"Falkland Islands"	0.0682125
"Kuril Islands"	0.0665644
"coral reef"	0.0646519
reef	0.0641909
Sakhalin	0.0615175
Isthmus	0.0604073
"Indian Ocean"	0.0599314
continent	0.0591425
coast	0.0579576
"South China Sea"	0.0578847
Zanzibar	0.0572071
colony	0.0566555
Republic	0.056039
"territorial water"	0.0560222
Caribbean	0.0536398
Luzon	0.0535676
"Puerto Rico"	0.0534557
"city state"	0.052865
Sumatra	0.0527936
"rain forest"	0.0523458
"South America"	0.0523138
curacao	0.0521166
ocean	0.0517066
canyon	0.0513644
enclave	0.0508704
"Outer Banks"	0.0505514
"Sea of Japan"	0.0504594
tract	0.0504149
"Asian nation"	0.0503488
Kingdom	0.0498498
seabed	0.0495458
"St. Kitts"	0.0495058
"South Pacific"	0.0492959
Okinawa	0.0490894
"continental shelf"	0.0485394
pacific	0.0484516
Maluku	0.0483024
emirate	0.0480989
countryside	0.0480185
"Balkan country"	0.0480147
Aegean	0.0479121
basin	0.0477661
valley	0.047653
metropolis	0.0474784
"Southeast Asia"	0.047188
"about @,@@@ kilometers"	0.0467764
"Papua New Guinea"	0.0464142
lake	0.0461451
"Baltic Sea"	0.0459668
Anjouan	0.0458783
Bowery	0.0458292
"body of water"	0.0457648
ZHOUSHAN	0.0455024
Guam	0.0454067
Ambon	0.0452977
Kalimantan	0.0450759
expanse	0.0450674
Guadalcanal	0.0450446
township	0.0449584
"U.S. Virgin Islands"	0.0449002
Comoros	0.0448591
Mediterranean	0.0448269
"East Jerusalem"	0.044809
jungle	0.0447026
Hainan	0.0446286
metropolises	0.0441814
prefecture	0.0440737
Siberia	0.0439477
"New Territories"	0.0438619
wilderness	0.0436272
"African nation"	0.0435565
"seven miles"	0.0434602
Mindanao	0.0432494
Java	0.0430751
"rural area"	0.0429459
plateau	0.0429314
Tibet	0.0428842
Aceh	0.0428716
"Aegean Sea"	0.0427694
waterway	0.042759
Cove	0.0426587
steppe	0.0425788
"Temple Mount"	0.0425575
Sicily	0.0424573
"national park"	0.0423735
"West Bank"	0.0422775
"New Caledonia"	0.0422615
"Black Sea"	0.042035
"about @@ kilometers"	0.0419088
"high pressure"	0.0419075
Gulf	0.0418476
"Pacific Ocean"	0.0416934
Mozambique	0.0414491
Borneo	0.0413758
Haiti	0.0413752
"Holy City"	0.0413195
Sulawesi	0.0411057
"San Fernando Valley"	0.0410869
ecosystem	0.0410477
shore	0.0410082
Guangxi	0.0407554
"African country"	0.0406322
shoreline	0.0405787
Bangladesh	0.0405589
borough	0.0404801
Badme	0.0404052
"West Africa"	0.0403655
shoal	0.040281
Jolo	0.0401367
lagoon	0.040076
"South American country"	0.0400531
))
(architect (desc 62553.6) (sims
designer	0.152232
engineer	0.131432
artist	0.129215
painter	0.122341
sculptor	0.119353
historian	0.113969
scientist	0.111094
developer	0.110108
writer	0.108383
consultant	0.107784
planner	0.107634
author	0.105991
physicist	0.105529
composer	0.105525
educator	0.104509
scholar	0.103561
choreographer	0.103345
"interior designer"	0.103015
musician	0.101417
poet	0.101226
banker	0.100464
Programmer	0.0997889
physician	0.0996611
contractor	0.0992401
chef	0.0976005
entrepreneur	0.0975763
inventor	0.0969045
philosopher	0.0965008
lawyer	0.0956245
novelist	0.0956219
accountant	0.0955477
psychologist	0.0949274
mathematician	0.0943758
photographer	0.0932856
surgeon	0.0931863
"landscape architect"	0.0930072
businessman	0.0928523
statesman	0.092817
technician	0.0928013
manager	0.0927063
journalist	0.0921011
politician	0.0917395
professional	0.0917046
filmmaker	0.0916987
Playwright	0.091552
"art historian"	0.0901477
specialist	0.0898043
builder	0.0890856
doctor	0.0882132
expert	0.0880792
researcher	0.0878747
psychiatrist	0.0856897
director	0.0854851
advocate	0.084892
filmmakers	0.0841773
restaurateur	0.0838386
teacher	0.0838208
academic	0.0836822
proponent	0.0835898
executive	0.0835785
financier	0.0833975
craftsmen	0.0832069
critic	0.0830394
economist	0.0829851
jurist	0.0824115
chemist	0.0819631
"investment banker"	0.0818468
pianist	0.0812378
stockbroker	0.0806743
philanthropist	0.0804772
strategist	0.0803113
actor	0.0802758
"social worker"	0.0800646
biologist	0.0800592
thinker	0.0795945
broker	0.079394
Attorney	0.0792465
professor	0.0792225
pediatrician	0.0789292
linguist	0.078306
geologist	0.0782206
intellectual	0.0779683
administrator	0.0778895
plumber	0.077534
leader	0.0772815
decorator	0.077152
founder	0.0770836
animators	0.0769281
conductor	0.0769075
curator	0.0769074
"business executive"	0.0765147
Pioneer	0.0763169
backer	0.0761537
diplomat	0.0753752
collector	0.0751854
"venture capitalist"	0.0749798
stylist	0.0749296
calligrapher	0.0746876
"fashion designer"	0.0742486
anthropologist	0.0740787
sponsor	0.0739813
illustrator	0.0737848
"business leader"	0.0737758
"computer programmer"	0.0736428
"management consultant"	0.0736231
owner	0.0733483
archeologist	0.0733157
adviser	0.0730483
member	0.0727139
businessmen	0.0726067
performer	0.0725017
"computer scientist"	0.0724327
legislator	0.0722563
counselor	0.0721842
editor	0.0718492
"real estate agent"	0.0718338
songwriter	0.0716717
actress	0.0712046
paleontologist	0.0709493
psychoanalyst	0.0708476
woodworker	0.0705007
dancer	0.0702635
singer	0.0701949
archaeologist	0.0699429
activist	0.0698919
comedian	0.069791
supporter	0.0697343
violinist	0.0696121
"art dealer"	0.069597
lobbyist	0.0694879
astronomer	0.0693405
publisher	0.0691517
schoolteacher	0.0689324
Industrialist	0.0688102
appraiser	0.0685595
"real estate developer"	0.068519
screenwriter	0.0683876
theologian	0.0683207
organizer	0.0681726
entertainer	0.0680449
auditor	0.0680071
"real estate broker"	0.0679841
veterinarian	0.0679665
rabbi	0.067903
"plastic surgeon"	0.0678203
statesmen	0.0673566
cardiologist	0.0673395
cartoonist	0.067254
sociologist	0.0670716
environmentalist	0.0668373
nurse	0.0667935
producer	0.0666708
winemaker	0.0666495
superintendent	0.0664416
academician	0.0662836
Litigator	0.0661324
official	0.0658935
promoter	0.065883
master	0.0657915
therapist	0.0657867
"social scientist"	0.0657237
dramatist	0.0655342
athlete	0.0654304
reformer	0.0652921
gardener	0.0652811
operator	0.0651111
electrician	0.0648469
troubleshooter	0.0647028
dentist	0.0646252
missionary	0.0644816
trainer	0.0644776
theorist	0.0643544
"political leader"	0.0643262
creator	0.064184
worker	0.0639353
representative	0.0639217
officer	0.0639126
student	0.0638017
merchant	0.0636876
mentor	0.0635026
salesman	0.0634182
translator	0.0632612
supervisor	0.063234
firm	0.0630097
man	0.0628398
"military officer"	0.0627591
clerk	0.0627574
assistant	0.0627471
patron	0.0626994
priest	0.0626824
carpenter	0.0626663
lawmaker	0.0626171
instructor	0.0625414
veteran	0.0622743
minister	0.0621079
pilot	0.0620004
coordinator	0.0619452
practitioner	0.0619441
librarian	0.0618004
benefactor	0.0617866
))
("architectural style" (desc 2603.87) (sims
topography	0.0840959
architecture	0.0829236
handicraft	0.0697995
personae	0.0691885
"literary work"	0.0673736
"historical document"	0.0660739
cuisine	0.0659788
typeface	0.064298
"art form"	0.062088
calligraphy	0.0610342
livery	0.060098
folkways	0.0589104
Masterworks	0.0588878
"folk dance"	0.0582164
folklore	0.0544879
"slave trade"	0.0542152
"folk art"	0.0542008
"teaching method"	0.0539639
"musical instrument"	0.0537587
postmark	0.0533215
"geographical area"	0.051565
"religious ceremony"	0.0509382
"martial art"	0.0506642
"oil painting"	0.0504608
"steam locomotive"	0.0503643
"front entrance"	0.049387
worldview	0.048712
"folk music"	0.0483975
ceramics	0.0479995
phenomena	0.0479538
Mongolian	0.0478839
"medical practice"	0.0476673
"art collection"	0.0474631
"folk song"	0.0474036
deity	0.0472229
dialect	0.0471896
abattoir	0.0470831
"clock tower"	0.0469978
encirclement	0.0469635
"employment contract"	0.0467816
craftspeople	0.0467247
craftsmen	0.0465049
"school of thought"	0.0462894
stylings	0.0458677
erotica	0.0456992
"social structure"	0.0454376
"wedding cake"	0.0451776
intonation	0.0450366
cityscapes	0.0450156
bluegrass	0.0448342
"social system"	0.0448107
"body type"	0.0446271
idiom	0.0442953
"subject area"	0.0442497
"coloring book"	0.0441952
metropolises	0.0441916
"nooks and crannies"	0.0440009
hominid	0.0438425
cupola	0.0438412
affectation	0.043727
teahouse	0.043582
coloration	0.043341
"legal code"	0.0433
weirdness	0.0432895
torching	0.0429713
potentate	0.0427963
instrumentalist	0.0424557
menorah	0.0424262
"over two-thirds"	0.0423599
iconography	0.042147
accoutrement	0.0420889
"life form"	0.0419434
palette	0.041908
archeology	0.0418722
stele	0.0418198
permutation	0.0417117
repast	0.0417007
nomenclature	0.0416614
"Passion play"	0.0416116
"suspension bridge"	0.0415935
"written material"	0.0415919
mythology	0.0415386
"Homo sapiens"	0.0415207
"fire drill"	0.0412618
earthling	0.0412363
zodiac	0.0410634
"social group"	0.0409455
lifestyles	0.0408285
subculture	0.0407128
"emotional state"	0.0406848
edifice	0.0405528
subspecies	0.0405305
timbre	0.0404824
ethnicity	0.0404272
flora	0.040014
))
(architecture (desc 60320.4) (sims
art	0.158771
design	0.151728
literature	0.131557
culture	0.123595
photography	0.121934
sculpture	0.116579
"folk art"	0.114715
music	0.11468
Journalism	0.111887
painting	0.111216
economics	0.107979
science	0.107282
landscape	0.106622
style	0.106162
engineering	0.105295
structure	0.104696
poetry	0.101067
calligraphy	0.0999465
biology	0.0992653
"fine art"	0.098873
geography	0.0987297
history	0.0983317
fashion	0.0973629
"fine arts"	0.0970096
cuisine	0.0969853
archaeology	0.0961051
archeology	0.095598
geology	0.0953749
mathematics	0.0951008
technology	0.0943226
philosophy	0.0939885
furniture	0.0929145
folklore	0.0917173
heritage	0.0907238
scenery	0.0903662
anthropology	0.0900219
furnishings	0.0899492
theater	0.089447
physics	0.0893325
"computer science"	0.088983
politics	0.0884951
astronomy	0.0884343
theology	0.0874092
sociology	0.0873929
civilization	0.0873061
Chemistry	0.0869912
relic	0.0868339
building	0.0866949
tradition	0.0866831
dance	0.0854379
beauty	0.0853435
psychology	0.085329
religion	0.0851485
language	0.0844527
"social science"	0.0844339
garden	0.0838115
technique	0.0837447
"architectural style"	0.0829236
writing	0.0818297
medicine	0.0817047
decor	0.0815848
antique	0.0811659
ceramic	0.0808847
"political science"	0.0808097
"electrical engineering"	0.0799033
nature	0.0798365
education	0.0795788
environment	0.0794597
concept	0.0794545
cinema	0.0794526
agriculture	0.0789668
animation	0.0783332
costume	0.0777729
opera	0.0776694
ecology	0.0775688
management	0.0772689
custom	0.0762023
museum	0.0761836
facade	0.0760467
"classical music"	0.0756316
collection	0.0750564
Entertainment	0.0746944
sport	0.0746593
Pottery	0.074636
craft	0.0746325
development	0.074443
antiquity	0.0737816
horticulture	0.0737525
life	0.0734919
gardening	0.0732879
composition	0.0730905
fiction	0.0728156
"natural science"	0.0725085
handicraft	0.0724319
teaching	0.0724127
treasure	0.0721726
linguistics	0.0720732
interior	0.0719338
carving	0.0718223
"art form"	0.0714841
artwork	0.0714752
finance	0.0713089
drawing	0.0712793
construction	0.0710682
ballet	0.0710093
Buddhism	0.0709726
diversity	0.0705813
aesthetic	0.0705699
society	0.0705697
monument	0.0703222
aviation	0.0701438
choreography	0.0699938
innovation	0.0699013
setting	0.0697136
system	0.0693933
industry	0.0693748
cooking	0.0690442
"medical science"	0.068966
strategy	0.0688911
image	0.0688801
artifact	0.0688244
computing	0.0686585
"social work"	0.0683628
"musical theater"	0.0680588
genre	0.0680089
theory	0.0679967
tourism	0.0679792
edifice	0.0679507
elegance	0.0678663
"urban planning"	0.067815
film	0.0676241
law	0.0673992
feature	0.0673104
mythology	0.0669684
Jazz	0.0669041
"work of art"	0.0668239
artist	0.0666274
"interior design"	0.0665392
character	0.066411
communication	0.0663877
vision	0.0663782
preservation	0.0663108
climate	0.0661881
object	0.0661251
quality	0.0660539
"information technology"	0.0659369
philanthropy	0.0658252
decoration	0.0658229
"pop music"	0.0657277
research	0.0653773
landmark	0.0652188
ethic	0.0650292
genetics	0.0649986
jewelry	0.0648565
space	0.0648259
commerce	0.0646761
biochemistry	0.0646503
material	0.0646279
drama	0.0646193
"higher education"	0.0646126
color	0.0644547
"oil painting"	0.0644095
publishing	0.0642222
exterior	0.0641318
exhibit	0.0638627
aspect	0.0638621
democracy	0.0636535
gallery	0.063378
business	0.0633472
"foreign policy"	0.0632822
humanity	0.0629836
governance	0.0629821
layout	0.0629696
conservation	0.0628741
math	0.0626484
evolution	0.0625543
subject	0.0625343
achievement	0.0624301
physiology	0.0624257
approach	0.0624184
"legal system"	0.0623489
masterpiece	0.0623278
software	0.0623206
"popular music"	0.062275
lifestyle	0.0622275
economy	0.0622153
infrastructure	0.062204
skyline	0.062175
characteristic	0.0620779
food	0.0618328
golf	0.0618136
attraction	0.0617871
spirituality	0.0617848
diplomacy	0.0617474
marketing	0.0616768
Invention	0.0616635
print	0.0616145
planning	0.0615366
ambience	0.0615088
pattern	0.0614691
))
(archive (desc 52536.1) (sims
library	0.139935
file	0.137499
database	0.126241
collection	0.12614
document	0.107187
museum	0.0996403
"National Archives"	0.0955636
exhibit	0.0930711
manuscript	0.0901265
directory	0.0891463
journal	0.0872953
book	0.0869902
page	0.0863737
relic	0.0849026
artifact	0.0829577
catalog	0.0819017
publication	0.080546
site	0.0803324
treasure	0.0800649
transcript	0.0778627
laboratory	0.0771905
data	0.0769809
vault	0.0760253
map	0.0757227
"medical record"	0.0756268
"art collection"	0.0754734
photograph	0.0749001
material	0.0746503
Exhibition	0.0744292
trove	0.0740068
diary	0.0732885
copy	0.0712486
gallery	0.071187
institute	0.0710602
Warehouse	0.0708704
paper	0.0707595
text	0.0706753
Encyclopedia	0.0703599
information	0.0700497
lab	0.0700018
"bank account"	0.0696216
art	0.0694984
Website	0.069156
memorabilia	0.068778
scrapbook	0.0686847
repository	0.0684719
tape	0.068321
correspondence	0.0680197
dossier	0.0679861
cemetery	0.0678713
"reading room"	0.0677229
department	0.0673778
listing	0.0668211
literature	0.0666474
"research center"	0.0665519
registry	0.0663991
magazine	0.0662307
textbook	0.0661436
office	0.0657136
"computer file"	0.0656054
inventory	0.0652008
store	0.0651172
video	0.0648781
history	0.064739
list	0.0645643
Anthology	0.0645554
cache	0.0643882
resource	0.0642471
box	0.0642008
account	0.0641592
painting	0.0641259
edition	0.0637172
"art gallery"	0.0636652
studio	0.063078
research	0.062971
"historical document"	0.0629541
videotape	0.062564
folder	0.0625609
Recording	0.0622692
bookstore	0.0619082
study	0.0618088
"exhibition hall"	0.0613846
facility	0.0608296
photo	0.0606526
picture	0.0605706
biography	0.0605103
source	0.0604865
closet	0.0601706
databank	0.0601415
cassette	0.06013
periodical	0.0598947
compilation	0.0598032
storehouse	0.0594605
system	0.0594118
drawer	0.0593474
analysis	0.059229
Computer	0.0592111
documentation	0.058833
heritage	0.0586598
artwork	0.0585527
review	0.0584972
space	0.0583866
theater	0.0581942
evidence	0.0580469
newspaper	0.0580302
shop	0.0579832
storage	0.0579818
portfolio	0.0579057
content	0.0577833
print	0.0577696
network	0.0576509
calendar	0.0574084
interview	0.0571495
building	0.0571401
agency	0.0571194
science	0.0570591
dictionary	0.0569561
manual	0.0565371
format	0.0564517
property	0.0563166
sample	0.056258
room	0.0558075
translation	0.0555105
service	0.0554049
section	0.0553615
"computer network"	0.055289
fossil	0.0552826
code	0.0552481
album	0.0551293
article	0.0550312
software	0.0550176
display	0.0549172
"gift shop"	0.0549104
clinic	0.0547441
newsletter	0.0546879
bureau	0.0546399
estate	0.054523
Copyright	0.0544673
tomb	0.0542293
footage	0.0541345
foundation	0.0539838
web	0.0539656
park	0.0539098
ruin	0.0539047
brochure	0.0538918
architecture	0.0538849
headquarter	0.0538545
antiquity	0.053817
zoo	0.0536433
classroom	0.0535892
object	0.0534864
complex	0.0534312
film	0.0533651
clip	0.0532684
drawing	0.0531949
monument	0.0528814
"work of art"	0.0527914
asset	0.0527294
statistic	0.0527188
disk	0.0526653
university	0.052665
technology	0.052571
chart	0.0525554
letter	0.052511
hospital	0.0525021
guide	0.0524413
annals	0.0524296
fund	0.0522788
Smithsonian	0.0520861
institution	0.0520655
websites	0.0520454
CD-ROM	0.0520403
garden	0.0520282
item	0.0519652
version	0.0518684
"bulletin board"	0.051844
festival	0.0517957
basement	0.0515155
bank	0.0514629
publisher	0.0512599
cookbook	0.0512558
secret	0.051229
"treasure trove"	0.0512135
school	0.0511943
"information service"	0.0511857
holding	0.0510486
pantry	0.0509906
cave	0.0508181
custom	0.0508132
blueprint	0.0507972
archivist	0.050735
pamphlet	0.0507015
"wire service"	0.0506699
story	0.0506266
palace	0.0505924
printout	0.0505496
recorder	0.0504251
Compendium	0.0504085
yearbook	0.0503972
remains	0.0502991
))
(archivist (desc 6757.38) (sims
librarian	0.143974
curator	0.135566
archaeologist	0.114768
historian	0.113788
"art historian"	0.108964
"social scientist"	0.102449
archeologist	0.102183
statistician	0.0989603
conservator	0.0982091
geologist	0.0963035
educator	0.0947219
paleontologist	0.09187
"financial officer"	0.089239
linguist	0.0881968
restorer	0.0874255
"computer expert"	0.0838966
administrator	0.0820943
ornithologist	0.0803532
technician	0.079118
scholar	0.0789153
"medical specialist"	0.0770871
biologist	0.0763501
mathematician	0.0760144
appraiser	0.0760102
genealogist	0.0756592
researcher	0.0741035
horticulturist	0.0739869
pathologist	0.0733128
academic	0.0729259
veterinarian	0.0727497
anthropologist	0.0726462
"legal expert"	0.0724757
trustee	0.0724401
"faculty member"	0.0718565
psychoanalyst	0.0718471
paralegal	0.0713158
accountant	0.0704064
astronomer	0.0703831
"art director"	0.0700518
"government officials"	0.0698891
collector	0.0694331
"intelligence officer"	0.0693449
concertmaster	0.0686964
seismologist	0.0685366
auditor	0.0683371
theorist	0.0677567
rector	0.0676149
"social worker"	0.0675497
entomologist	0.0669253
cinematographer	0.0664641
Registrar	0.0664611
"computer scientist"	0.0658111
sociologist	0.0657005
Programmer	0.0656593
publicist	0.0656202
patron	0.0654437
botanist	0.0652336
"policy maker"	0.0651061
"postmaster general"	0.0647921
planner	0.0647677
epidemiologist	0.0645136
"staff member"	0.0644937
ethicists	0.0644615
"business editor"	0.0644294
folklorist	0.0643569
scoutmaster	0.0640275
geophysicist	0.0636996
bigwig	0.0636209
animators	0.0635464
theologian	0.0634667
psychologist	0.06329
"business executive"	0.063204
"baseball coach"	0.062886
nutritionist	0.0627932
reviewer	0.0625893
cardiologist	0.0623582
scriptwriter	0.0622147
"English teacher"	0.0621314
lecturer	0.0620766
designer	0.0618761
"stamp collector"	0.0617302
physicist	0.0614993
"project manager"	0.0614442
lifeguard	0.0611617
staffer	0.0607947
naturalist	0.0607625
bookkeeper	0.0606532
psychiatrist	0.0606283
architect	0.0605476
buff	0.0605117
counselor	0.0601585
winemaker	0.0597857
"political scientist"	0.0597806
copywriter	0.0597146
"music critic"	0.0596848
screenwriter	0.0595844
chaplain	0.0592641
medic	0.0592388
"deputy director"	0.0591692
meteorologist	0.0591407
"art dealer"	0.0588904
"certified public accountant"	0.0587487
"real estate broker"	0.0586625
academician	0.0586518
geneticist	0.0585139
jurist	0.0584886
toxicologist	0.0584179
"theater critic"	0.0582722
"medical examiner"	0.0577989
policymakers	0.057664
demographer	0.0575567
"interior designer"	0.0574701
sculptor	0.0573193
preservationist	0.057237
preservationists	0.0570758
filmmakers	0.0568502
"sales manager"	0.0567606
"film maker"	0.0567137
photographer	0.0565253
"computer programmer"	0.0564882
"tax collector"	0.0563772
infantryman	0.0562017
physician	0.0561998
presenter	0.05604
"football coach"	0.0559859
Provost	0.0559746
cameraman	0.0559532
"welfare worker"	0.0558749
policy-makers	0.05571
"fashion designer"	0.055602
"sports editor"	0.055465
"department head"	0.0554411
recruiter	0.0553406
lexicographer	0.055137
schoolteacher	0.0551298
auctioneer	0.0550641
"special agent"	0.0549988
hobbyist	0.0549374
"fire chief"	0.0548507
"graphic artist"	0.0548237
calligrapher	0.0547678
Litigator	0.0547635
"fire fighter"	0.0547148
"information officer"	0.0547055
agronomist	0.054653
"talent agent"	0.0545617
"board member"	0.054465
chemist	0.054394
"English professor"	0.0543336
translator	0.0542851
enthusiast	0.0541501
correspondent	0.0541083
technologist	0.0538918
"church member"	0.0538583
organist	0.0536174
decision-makers	0.0535994
superintendent	0.0534945
"department employee"	0.0534239
banker	0.0533228
"business leader"	0.0532741
surgeon	0.0531196
"vice chancellor"	0.0530286
"investment adviser"	0.0529943
ghostwriter	0.052933
neurologist	0.0526602
philosopher	0.0524263
custodian	0.0523766
coauthor	0.0523087
"public defender"	0.0521917
clergymen	0.052099
benefactor	0.0519979
"medical officer"	0.0518265
"school teacher"	0.0517638
conductor	0.0517473
physiologist	0.0517267
psychotherapist	0.0517201
bookseller	0.0516384
treasurer	0.0515084
"civil servant"	0.051489
councilwoman	0.051462
cartographer	0.0514119
alderman	0.0511584
Industrialist	0.0511099
parliamentarian	0.0510998
supervisor	0.051001
pediatrician	0.050898
essayist	0.0508407
aficionados	0.050795
"art teacher"	0.0507152
biographer	0.0506164
"management consultant"	0.0505549
dean	0.0505271
"administrative official"	0.0504965
"landscape architect"	0.0504815
"economic expert"	0.0504686
rabbi	0.0503841
warden	0.0503605
"aerospace engineer"	0.0502436
conservationist	0.0502225
"literary agent"	0.0501796
))
(archrival (desc 2269.14) (sims
arch-rival	0.0876468
Cadbury	0.0729736
bottler	0.0644806
bottlers	0.0633584
"Coca-Cola Enterprises"	0.0617667
"Tampa Bay Lightning"	0.0613019
"McDonnell Douglas"	0.0525869
Musa	0.046719
"Airbus Industrie"	0.046673
CCE	0.0462497
"International Association of Machinists"	0.0460827
"shoe store"	0.0457978
"Allied Signal"	0.0447185
"minority stake"	0.0446939
Fuji	0.0433198
Sprite	0.0429548
"media property"	0.0423549
"Bankers Trust Corp."	0.0422889
"software maker"	0.0410703
"subsidiary company"	0.0408553
"ad agency"	0.0405847
"baseball club"	0.0405166
"New Jersey Devils"	0.0403098
))
(archrivals (desc 1118.91) (sims
arch-rivals	0.10812
"aerospace giant"	0.062647
mistaking	0.0577274
minicamps	0.0543489
"computer giant"	0.0542884
mini-camp	0.0538166
shootaround	0.0518533
minibuses	0.0508193
"second unit"	0.0494277
"triple play"	0.0491607
"draft board"	0.0489457
"Windows Media Player"	0.0475158
mini-buses	0.0472396
vote-getters	0.0466915
Pacific-@@	0.046686
"camp site"	0.046211
"Shan State"	0.0446524
crosstown	0.0438708
ex-convicts	0.0437927
"nuclear-powered submarine"	0.0437053
"away game"	0.0431421
sixth-graders	0.0414966
co-leaders	0.04118
"American League Division Series"	0.0406988
"last @@ points"	0.040685
"State Peace and Development Council"	0.0400779
vis-a-vis	0.0400452
))
(archway (desc 3804.72) (sims
arch	0.128676
Stairway	0.0931405
"French door"	0.0860879
walkway	0.0827728
skylight	0.0800481
staircase	0.0788901
flagpole	0.0782656
spire	0.0767016
edifice	0.0754583
mosaic	0.0741657
Obelisk	0.0741343
sarcophagus	0.0715377
facade	0.0699908
truss	0.069478
pedestal	0.0692964
stele	0.0689492
scrim	0.0674616
chandelier	0.0661256
cupola	0.0661099
doorway	0.0640815
pagoda	0.0635633
Sphinx	0.0630318
"weather vane"	0.0628194
passageway	0.0626115
atrium	0.0614378
fireplace	0.0606308
watchtower	0.060362
mural	0.0602597
Cairn	0.0591718
Dome	0.0589735
awning	0.0587935
chimney	0.0580866
grotto	0.0577295
cornice	0.0576462
altar	0.057619
chapel	0.0573907
statuary	0.0572706
"suspension bridge"	0.0569961
monolith	0.0568282
"stone wall"	0.0567103
fountain	0.0559114
jetty	0.0553775
bungalow	0.0547332
"oil lamp"	0.0544298
balcony	0.0542557
plaza	0.0539046
entryway	0.0534609
slab	0.0532363
flue	0.0530793
high-rise	0.0530344
enclosure	0.0527367
pyramid	0.0523557
"water tank"	0.0519786
"side door"	0.0518198
"fire hydrant"	0.0516643
tile	0.0508116
"trading post"	0.0506588
gargoyle	0.0506048
Lighthouse	0.0505905
seawall	0.0505667
"drinking fountain"	0.0504571
pylon	0.0501846
Canopy	0.0500745
terrace	0.0499791
stair	0.0499074
shard	0.0496709
urn	0.0492111
pillar	0.0484433
wainscoting	0.048213
porch	0.0481537
outbuilding	0.0480533
"sailing vessel"	0.047902
headstone	0.0477931
"tea set"	0.0476614
cistern	0.0476016
scaffold	0.0475166
patio	0.0470411
mausoleum	0.0470333
steeple	0.0470328
carving	0.0468713
stanchion	0.0468218
fortification	0.0467991
cladding	0.0466117
"tennis racket"	0.0465056
orb	0.0462312
skyscraper	0.0461899
pavilion	0.0461248
partition	0.0460523
crosse	0.0458912
footbridge	0.045879
molding	0.0456564
mantelpiece	0.04541
cavern	0.0451032
"fish tank"	0.0449874
hearth	0.0449299
rampart	0.0448871
rotunda	0.0447638
"barbed wire"	0.044718
balustrade	0.044674
carafe	0.0446458
Walls	0.0444998
headboard	0.0444697
storefront	0.044418
"shower stall"	0.0442181
kiln	0.0440751
Fort	0.044036
plaque	0.0439217
gantlet	0.043893
frieze	0.0437885
"sitting room"	0.0437623
countertops	0.0436872
skyline	0.0435652
cordon	0.043525
"car door"	0.0433338
aphorism	0.0432796
"blast furnace"	0.0430871
cylinder	0.0430262
"floor plan"	0.0429644
"steel plate"	0.0427187
footpath	0.0425079
courtyard	0.0424412
cofferdam	0.0424244
filigree	0.0424034
Igloo	0.0418289
schoolhouse	0.0415991
tumbler	0.0415814
bedsheets	0.0415372
waterfall	0.0415334
headdress	0.0414952
incision	0.0414005
trellis	0.0413841
guardrail	0.0411157
fortress	0.0411008
pendant	0.0410501
send-off	0.0409743
"break of serve"	0.0409713
gazebo	0.0409151
"picture window"	0.040877
pane	0.0407387
"car park"	0.0404553
bulkhead	0.0404505
sunroof	0.040349
"window frame"	0.0403191
megaplexes	0.0403186
"bell tower"	0.0403082
townhouses	0.0402805
superstructure	0.0402134
"assembly hall"	0.0401679
"oil slick"	0.0401251
"beauty salon"	0.0400889
shingles	0.0400739
sutras	0.0400327
))
(ARCO (desc 7163.35) (sims
"Atlantic Richfield"	0.29857
Amoco	0.292351
Mobil	0.275948
Texaco	0.260817
Conoco	0.239741
Exxon	0.223833
Chevron	0.220892
"BP Amoco"	0.186088
"Royal Dutch/Shell"	0.184819
NatWest	0.176849
"U.S. Trust"	0.175713
"Atlantic Richfield Co."	0.174062
Seagram	0.173971
ascend	0.171779
RJR	0.169917
ALZA	0.168652
Warner-Lambert	0.167441
"Exxon Mobil"	0.165695
SmithKline	0.163108
"Niagara Mohawk"	0.160204
Avondale	0.158628
"Union Carbide"	0.158204
Airtouch	0.157491
"Thermo Electron"	0.156739
BP	0.156318
BofA	0.155826
Bestfoods	0.154432
NORTHROP	0.153716
"Bankers Trust"	0.152726
"Bankers Trust Corp."	0.152051
"Times Mirror"	0.151624
Enron	0.150689
Comsat	0.150619
"P&AMP;G"	0.150225
"Mobil Corp."	0.149954
Mannesmann	0.149713
TCI	0.145207
"Fred Meyer"	0.144996
COLTEC	0.144909
"U S West"	0.143988
Ciena	0.143961
McKesson	0.1439
Nabisco	0.143469
"Learning Co."	0.143226
"British Petroleum"	0.141786
"RJR Nabisco"	0.141295
BankAmerica	0.140159
Mediaone	0.138772
Ameritech	0.138533
Monsanto	0.138341
Agip	0.136213
Dupont	0.136023
"US Airways"	0.135534
Aetna	0.135531
Seagate	0.135437
MCI	0.135264
Daimler	0.133785
"KCP&AMP;L"	0.133607
GTE	0.132708
NiSource	0.132383
Livent	0.131977
"Bay Networks"	0.131253
Nortel	0.131218
UNOCAL	0.130154
Fingerhut	0.129415
BankBoston	0.128982
VoiceStream	0.128761
Chrysler	0.128677
TYCO	0.128459
Sunbeam	0.128427
Mattel	0.128104
WorldCom	0.128091
Asarco	0.127372
ITT	0.12715
Gillette	0.127045
"Time Warner"	0.127036
Humana	0.126932
"Y&AMP;R"	0.126614
"First Union"	0.126563
Esso	0.126484
"Chrysler Corp."	0.126089
Caltex	0.125739
Viacom	0.124963
"National Grid"	0.12452
PolyGram	0.124313
Honeywell	0.123847
ENTERGY	0.122626
Alcoa	0.122486
AMR	0.122468
CMGI	0.121905
Infoseek	0.121345
UAL	0.120633
Raytheon	0.120203
"Berkshire Hathaway"	0.120075
Petrofina	0.119976
Halliburton	0.119864
"Telecom Italia"	0.119815
Alcan	0.119632
Emulex	0.119414
Paribas	0.118499
Cendant	0.118273
Delphi	0.118116
"Waste Management"	0.117971
GANNETT	0.117595
"Digital Equipment Corp."	0.117394
"Times Mirror Co."	0.117101
"J&AMP;J"	0.116856
Kodak	0.116431
"MediaOne Group"	0.116236
"Newport News"	0.11607
AutoNation	0.115567
GeoCities	0.114333
Genentech	0.114145
"BankBoston Corp."	0.114126
"Sprint Corp."	0.113776
VENATOR	0.113537
Biogen	0.113178
Unilever	0.112864
Glaxo	0.112639
"Global Crossing"	0.111863
Qwest	0.11175
Alltel	0.111728
Amgen	0.111662
ENTREMED	0.111554
Exxon-Mobil	0.111531
Pennzoil	0.111498
Cisco	0.111395
Broadcast.com	0.111388
Starwood	0.111341
"America West"	0.111338
Schlumberger	0.111285
Cargill	0.111211
SkyTel	0.111014
Broderbund	0.11075
Motorola	0.110714
XYLAN	0.110712
Lilco	0.110521
SBC	0.110495
"United Technologies"	0.110192
Lycos	0.110013
Vivendi	0.109863
BCE	0.109709
"American Home"	0.109564
"Air Canada"	0.109451
Citigroup	0.109288
MiniMed	0.10923
Gazprom	0.109204
REVLON	0.109071
"General Electric"	0.109059
Heinz	0.109009
Litton	0.10893
Chiron	0.108897
Elf	0.108816
Tropicana	0.10861
Pepsico	0.108585
BellSouth	0.108191
GPU	0.108032
"HBO &AMP; Co."	0.107968
WPP	0.107965
"International Paper"	0.107656
PLDT	0.107552
Pairgain	0.107492
"Deutsche Bank"	0.10749
Tenneco	0.107453
Kellogg	0.107389
"Wells Fargo"	0.107273
"Tele-Communications Inc."	0.106693
Sibneft	0.106581
Volvo	0.106568
"Cadbury Schweppes"	0.105997
Cerent	0.105853
Hewlett-Packard	0.105728
Lockheed	0.105593
Berkshire	0.105571
Federated	0.105385
Georgia-Pacific	0.105265
HP	0.10507
Compaq	0.104867
Cabletron	0.104842
"Tribune Co."	0.10483
Hasbro	0.104695
"Rite Aid"	0.104077
Astra	0.103818
Transamerica	0.103771
MindSpring	0.103725
"News Corp."	0.103712
EMC	0.103431
Merrill	0.103379
CCE	0.103046
Norwest	0.102989
"Philip Morris"	0.102594
"Sara Lee"	0.102451
AMP	0.102308
Kroger	0.101984
UBS	0.101857
"Nippon Credit"	0.101512
"Con Edison"	0.101475
SFX	0.10144
Chris-Craft	0.101065
"Northeast Utilities"	0.100977
adobe	0.100649
Coca-Cola	0.100637
DaimlerChrysler	0.100624
Telefonica	0.100391
YPF	0.100183
))
(Arctic (desc 11450.7) (sims
Alaskan	0.124807
Antarctica	0.121618
Antarctic	0.113924
"North Atlantic"	0.105292
"North Pole"	0.0972319
Caspian	0.0939277
pacific	0.0881804
Mediterranean	0.0830652
Greenland	0.0811525
"Far Eastern"	0.0769379
Atlantic	0.0761456
"South Atlantic"	0.0742374
Alaska	0.0715743
ocean	0.0700809
Baltic	0.0700141
"Indian Ocean"	0.0698673
"South Pacific"	0.0696023
Siberia	0.0677799
"Arctic Ocean"	0.0663282
Aegean	0.0655741
Qomolangma	0.0651945
"Black Sea"	0.0641327
"South Pole"	0.0635175
"Northwest Territories"	0.0631346
"South Georgia"	0.0618076
"Red Sea"	0.0604022
Caribbean	0.0602351
"Pacific Ocean"	0.0600281
"Far East"	0.0594908
"Western Pacific"	0.0584737
"Mediterranean Sea"	0.0580479
"Gulf of Mexico"	0.0555499
Adriatic	0.0553528
"Russian Far East"	0.0546441
"Aegean Sea"	0.053992
Polynesian	0.0537258
"Mount Everest"	0.0529388
glacier	0.0528986
"South China Sea"	0.0523461
Balkan	0.0513198
Andes	0.0511847
predawn	0.0499647
"Caspian Sea"	0.0499443
Gulf	0.0489106
"Rocky Mountain"	0.048822
"high pressure"	0.0487914
"Chesapeake Bay"	0.0484689
Amazonian	0.0483459
"Colorado River"	0.0482053
"mountain climbing"	0.0481115
Mid-Atlantic	0.0480231
sierra	0.0473628
Sulawesi	0.0469745
"Lake Victoria"	0.0468244
"North Sea"	0.0467158
Himalayas	0.046608
"Persian Gulf"	0.0458897
plateau	0.0456833
"Ohio River"	0.0455634
"Taihu Lake"	0.0451679
"Mekong River"	0.0449131
"Puget Sound"	0.0445361
"Hudson River"	0.0445327
Icelandic	0.04436
Hawaiian	0.0440187
"West Texas"	0.0439981
basin	0.0435991
"Central Asia"	0.0435525
Normandy	0.04352
Adirondack	0.0434163
Mars	0.0432254
"Pacific Coast"	0.0432246
"East China Sea"	0.0430393
"Southeast Asian"	0.0423901
"South America"	0.04238
"Nile River"	0.0423793
"Central Asian"	0.042181
"South American"	0.0421636
"Arctic Circle"	0.0412303
"New Mexico"	0.041022
"New York Harbor"	0.0410195
cave	0.0409618
jungle	0.0406907
Bekaa	0.0405589
"rain forest"	0.0405061
"northern hemisphere"	0.0405029
"Nile Delta"	0.0401796
Asia-Pacific	0.0401121
Eurasia	0.0400474
))
("Arctic Circle" (desc 2825.67) (sims
equator	0.112977
"Black Sea"	0.0853256
Tapachula	0.0825546
Mankulam	0.0817375
Paranthan	0.079445
"Ohio River"	0.0756303
Marjayoun	0.0752697
"Dead Sea"	0.0737891
"Demilitarized Zone"	0.0735735
Vavuniya	0.0725253
Kilinochchi	0.0711328
"Elephant Pass"	0.0698543
"North Pole"	0.0691685
"Taklimakan Desert"	0.068966
Sahara	0.0680516
"demarcation line"	0.0679889
"state line"	0.0667189
"Yellowstone National Park"	0.0667123
Bosporus	0.0647718
Uvira	0.0643947
"Arctic Ocean"	0.0640033
"Guatemala City"	0.0630472
Djakovica	0.0621819
Mosul	0.0615336
Srinagar	0.0606693
"Delaware River"	0.0606039
"Red River"	0.0600919
"Everglades National Park"	0.0591271
Dushanbe	0.0584992
Basra	0.0580671
"Leeward Islands"	0.0579242
"Caspian Sea"	0.057342
"Earth's surface"	0.0569467
"Lake Okeechobee"	0.0564346
"Anlong Veng"	0.0557441
Urosevac	0.055244
Cavalese	0.0545828
"cash crunch"	0.0539411
"Santa Barbara"	0.053872
Nogales	0.0532827
Jenin	0.0525064
"Jordan River"	0.0521469
Podujevo	0.052071
Kismayu	0.0518019
"Nile Delta"	0.0517539
Alps	0.0515369
Antarctica	0.0514625
Bangor	0.0514063
Managua	0.050371
"Yosemite National Park"	0.050159
"San Francisco Bay"	0.0500385
"Twin Cities"	0.0500161
"market town"	0.0496347
Jaffna	0.0494152
Mullaitivu	0.0490624
Decani	0.0488734
Kindu	0.0487136
"San Salvador"	0.0486709
"Florida Panhandle"	0.048382
Bujumbura	0.0483452
Goma	0.048311
TEGUCIGALPA	0.0479289
"Congo River"	0.0476948
"Lake Ontario"	0.0476623
"Grand Canyon National Park"	0.0470068
TALLAHASSEE	0.0469533
Jammu	0.0469342
Port-au-Prince	0.0468102
"La Paz"	0.0467687
Chattanooga	0.0467221
"Lake Tahoe"	0.0466629
"Sea of Japan"	0.04661
"Golden Gate Bridge"	0.046587
"Puerto Vallarta"	0.0464509
I-@@	0.0463793
Redding	0.0463023
Laramie	0.0460902
Gulu	0.0460033
"Albanian capital"	0.0457942
Ojai	0.0455287
Himalayas	0.0454855
"Santa Fe"	0.0454032
"state capital"	0.0453952
"San Pedro Sula"	0.0450395
SANAA	0.044952
"Egyptian capital"	0.0448104
"Missouri River"	0.0447874
Brownsville	0.0447364
"Kennedy Airport"	0.0446931
Mitrovica	0.0446595
Siberia	0.0445206
Kuito	0.0443463
Malisevo	0.0440182
"Baltic Sea"	0.0437665
Greenland	0.0436897
"Connecticut River"	0.0434938
"blood feud"	0.0430069
Bukavu	0.0429213
"Rio Grande"	0.0424504
anchorage	0.0424483
"Brooklyn Bridge"	0.0422669
Eurasia	0.0420754
Caprivi	0.0420028
"Tar River"	0.0419602
Missoula	0.0417746
"Nova Scotia"	0.0417694
"Western Pacific"	0.0416307
"South Pole"	0.0416134
"Puget Sound"	0.0415876
"Persian Gulf"	0.0415536
"Cape Fear"	0.0414312
Makeni	0.0414184
"Gulf of Mexico"	0.0413187
Jezzine	0.0413132
Normandy	0.041292
Arctic	0.0412303
Beaumont	0.041225
Americus	0.0409982
Plattsburgh	0.0409956
"Quebec City"	0.0409636
"Grand Canyon"	0.0409574
"Bay of Bengal"	0.0409174
"Fort Myers"	0.0409078
"Gulf Coast"	0.0407841
"Lake Michigan"	0.0407791
Fairbanks	0.0407543
"Adriatic Sea"	0.0406968
Haifa	0.0406828
"French capital"	0.0406491
"body of water"	0.0405123
Saigon	0.0403528
Kismaio	0.0403097
Shashi	0.0402687
Antarctic	0.0401246
Sinai	0.0401206
"foul line"	0.0401148
"North Dakota"	0.0400911
"Pennsylvania Station"	0.0400314
))
("Arctic Ocean" (desc 1341.04) (sims
"Baltic Sea"	0.145967
"Southern Ocean"	0.126912
"Barents Sea"	0.117462
"Bohai Bay"	0.117041
"northern hemisphere"	0.101047
"North Atlantic"	0.0971299
"Long Island Sound"	0.094687
"Sea of Japan"	0.0920534
"Lake Michigan"	0.0892455
"Bay of Bengal"	0.0890165
"Yellow Sea"	0.0875423
"San Francisco Bay"	0.0860682
"New York Harbor"	0.0858588
"Lake Ontario"	0.081615
"sea lane"	0.0809376
"Black Sea"	0.0808229
Greenland	0.0790952
"Adriatic Sea"	0.0775912
"East China Sea"	0.0763221
"danger zone"	0.0758765
"Pacific Ocean"	0.0757429
"English Channel"	0.0746524
"South China Sea"	0.0727556
"rough water"	0.0713838
kilometre	0.0694109
"North Sea"	0.0693873
Antarctica	0.0691964
"Earth's surface"	0.0686393
Arctic	0.0663282
"Chesapeake Bay"	0.0657306
"Great Lakes"	0.0653727
"Missouri River"	0.0649309
"Colorado River"	0.0647637
"Arctic Circle"	0.0640033
"Persian Gulf"	0.0638253
"Atlantic Ocean"	0.0636664
lagoon	0.0635006
Aegean	0.0634003
"Red Sea"	0.0633426
"Lake Victoria"	0.0630254
"Indian Ocean"	0.0629862
Antarctic	0.0627818
"Gulf of Mexico"	0.0626517
"Dead Sea"	0.061417
"camp site"	0.0607956
"South Atlantic"	0.0607012
nothingness	0.0605674
"Lake Erie"	0.0604538
"Mediterranean Sea"	0.0600303
"Interstate @"	0.059844
"Mekong River"	0.0596546
"semi- finals"	0.0586918
Mosul	0.0581584
Caspian	0.0578735
Adriatic	0.0578038
"parade ground"	0.056974
"continental shelf"	0.0568406
"Georges Bank"	0.0554064
"White Mountains"	0.055354
"Caspian Sea"	0.0544022
"Al Aqsa Mosque"	0.0536136
"Kathmandu Valley"	0.0535911
"target area"	0.0533562
"Yosemite National Park"	0.0529035
"Golden Triangle"	0.0527857
"Grand Canyon National Park"	0.0527326
"landing strip"	0.0523973
"Yellowstone National Park"	0.0523851
Himalayas	0.0520427
time-trial	0.0518271
"Bohai Sea"	0.0515253
Tigris	0.0513848
"more than @,@@@ kilometers"	0.0513417
"river bed"	0.0511508
"six kilometers"	0.0510814
"parking area"	0.0504501
"Caribbean Sea"	0.0500812
"breakfast table"	0.0494017
"seventh grade"	0.0490884
"coca crop"	0.0489395
"Aegean Sea"	0.0485664
"Great Plains"	0.048355
Caucasus	0.0482792
"Middle West"	0.0475429
"Pacific Coast"	0.0475039
"Dhaka Stock Exchange"	0.047175
"Lake Tahoe"	0.0470865
Drenica	0.0469066
Towns	0.0466811
"city block"	0.0465497
"Columbia River"	0.0463959
outcroppings	0.0461132
"Victoria Harbor"	0.046021
Seine	0.045963
sq.km	0.0456485
"Mississippi River"	0.0454622
"First Avenue"	0.0454557
"Los Angeles International Airport"	0.0454546
"window frame"	0.0453672
"North Pole"	0.0453595
"Potomac River"	0.045343
"Little League World Series"	0.0452939
"Florida Everglades"	0.0452055
spammers	0.0450566
hotspots	0.0449116
"Nile River"	0.0447681
"breaking point"	0.0447506
Tables	0.0445445
"Hudson River"	0.0442169
"East River"	0.0439054
"more than @@@ hectares"	0.0436712
"Boston Harbor"	0.0436048
Orahovac	0.0435662
wrister	0.0435235
Inchon	0.0434446
"representative sample"	0.0434217
Criterium	0.0433815
"American Dance Festival"	0.0432964
"territorial water"	0.04322
"finishing line"	0.0431692
"Lake Okeechobee"	0.0431539
Europa	0.0430697
shockwaves	0.0429992
GEC	0.0429512
Euphrates	0.042906
Abkhazia	0.0428925
"securities business"	0.0426275
Sakhalin	0.0425134
three-fifths	0.042506
NCAAs	0.0424993
"six furlongs"	0.0424412
Urosevac	0.0424381
Basra	0.0422854
"Hong Kong International Airport"	0.0420392
"ocean floor"	0.0417407
"past four decades"	0.0417387
poking	0.0415746
dinghy	0.0415184
"Florida Straits"	0.0414684
"Everglades National Park"	0.0414501
"Jordan Valley"	0.0411558
Everglades	0.0411
cofferdam	0.0410842
"public domain"	0.0410442
"Mississippi Delta"	0.0410336
superhighway	0.0410276
"West Timor"	0.0409925
Danube	0.0409266
"two baskets"	0.0408134
kwanza	0.0407568
"Puget Sound"	0.0407544
"National Mall"	0.0406619
"South Pacific"	0.0406126
"First Union Center"	0.0405591
centimeter	0.0404166
"North Caucasus"	0.0400859
Tabriz	0.0400475
"one go"	0.04004
))
(ardor (desc 6657.89) (sims
fervor	0.113462
enthusiasm	0.0998707
zeal	0.0890753
passion	0.0826988
"investor interest"	0.0760735
appetite	0.0759448
skittishness	0.0719428
vigor	0.0717602
ebullience	0.0709186
exuberance	0.0693531
luster	0.0661644
euphoria	0.0661575
nimbleness	0.0651101
optimism	0.0648534
insouciance	0.0636055
reverence	0.0630888
eagerness	0.0608613
ferment	0.060587
exasperation	0.0587718
bravado	0.0586941
affection	0.0578155
disdain	0.0569694
giddiness	0.0564405
boldness	0.0556711
aggressiveness	0.0545397
fondness	0.0544376
distaste	0.054276
ire	0.0541031
predilection	0.0537371
lust	0.053668
scorn	0.0534743
admiration	0.0525516
excitement	0.0524564
sophistication	0.0521205
ferocity	0.0511981
clout	0.0511084
clarity	0.0511053
frenzy	0.0509065
candor	0.0508141
flair	0.0508111
athleticism	0.0506991
urgency	0.0506343
deftness	0.0501674
eloquence	0.049918
warmth	0.0499047
defensiveness	0.0498619
inclination	0.0495204
resiliency	0.0494349
richness	0.0492492
patience	0.0490944
graciousness	0.0490188
intensity	0.0489845
"staying power"	0.0488433
humility	0.0487082
hunger	0.0484671
curiosity	0.0483637
grandeur	0.0481617
disillusionment	0.0479009
acrimony	0.0476051
mania	0.0475314
pessimism	0.0471222
craftsmanship	0.0468744
bluntness	0.046808
foresight	0.0466101
"drawing power"	0.0465143
assertiveness	0.0462302
generosity	0.0461654
anxiety	0.0458645
wariness	0.0457133
brashness	0.0456828
yearning	0.0454579
self-confidence	0.0451233
nervousness	0.0447819
fascination	0.0445501
composure	0.0444646
dynamism	0.044322
acuity	0.0440778
distrust	0.0439793
swagger	0.0438534
adulation	0.04351
sensitivity	0.0434759
loathing	0.0431865
cachet	0.0429965
naivete	0.0429895
modesty	0.0427577
weariness	0.0426833
bewilderment	0.0425781
"creature comforts"	0.0424578
unease	0.0423816
infatuation	0.0421002
perversity	0.0420136
explosiveness	0.0419563
smugness	0.0419065
"civic pride"	0.0418972
elegance	0.0418478
longing	0.0417709
distinctiveness	0.041655
cockiness	0.0416294
disaffection	0.0416165
audacity	0.0416008
self-awareness	0.0415007
frankness	0.0414556
eminence	0.0414521
buoyancy	0.0413237
uneasiness	0.0412694
glee	0.0412218
dexterity	0.0410432
gaiety	0.0408637
sensibility	0.0408629
"feminist movement"	0.0408568
farsightedness	0.0407286
disenchantment	0.0407078
"sexual desire"	0.0406867
ambivalence	0.0405791
precision	0.0403791
earnestness	0.0403566
angst	0.04024
bravura	0.0402208
pervasiveness	0.0401935
sadness	0.0401209
virtuosity	0.0401065
Wrath	0.0400687
Creativity	0.0400176
finesse	0.040012
))
(area (desc 547236) (sims
region	0.27727
city	0.223414
province	0.201848
village	0.199686
town	0.197434
district	0.192619
zone	0.188814
neighborhood	0.181548
country	0.180186
sector	0.169296
land	0.163708
territory	0.163067
county	0.162226
"rural area"	0.159471
field	0.159146
state	0.156468
part	0.147908
valley	0.146548
park	0.145035
suburb	0.144409
community	0.143931
industry	0.143368
island	0.142723
building	0.141773
capital	0.141436
site	0.141427
forest	0.140207
market	0.139856
center	0.136819
airport	0.136281
mountain	0.135748
China	0.134762
north	0.134493
place	0.13438
section	0.133193
south	0.132359
home	0.130774
project	0.129632
facility	0.128016
"urban area"	0.124373
space	0.122932
base	0.120718
street	0.120646
Kosovo	0.120033
house	0.119709
school	0.118401
nation	0.1167
border	0.116635
water	0.116342
Northeast	0.116234
environment	0.116183
port	0.116082
development	0.115304
location	0.114862
business	0.114467
lake	0.114249
world	0.113642
economy	0.113442
system	0.113169
river	0.112859
"Hong Kong"	0.112716
hospital	0.112302
countryside	0.11208
resident	0.111801
plant	0.111597
Africa	0.111431
camp	0.11069
east	0.110638
road	0.110141
desert	0.109773
Europe	0.109455
enclave	0.10897
people	0.108693
hotel	0.108673
farmland	0.108585
farm	0.108282
"United States"	0.108018
township	0.106721
office	0.106613
west	0.106504
population	0.106149
enterprise	0.105822
California	0.105747
municipality	0.105596
spot	0.10424
coast	0.104128
Asia	0.103931
room	0.103466
Lebanon	0.103075
complex	0.101703
hill	0.100584
Shanghai	0.100196
operation	0.100049
"African country"	0.0999498
program	0.0998831
station	0.0991027
Tibet	0.0988294
BEIJING	0.0979336
prefecture	0.0977294
resort	0.0975271
issue	0.0974627
"New York"	0.0971558
northwest	0.096413
beach	0.0963181
infrastructure	0.0960869
southeast	0.0960775
company	0.0960573
factory	0.0955979
property	0.0954313
terrain	0.095019
highway	0.0949818
resource	0.0948239
Albania	0.0947955
agriculture	0.09416
service	0.0939699
sea	0.0938922
store	0.093522
downtown	0.092961
continent	0.0928609
activity	0.0927717
mainland	0.09269
Afghanistan	0.0925067
reserve	0.0922428
basin	0.0919071
garden	0.0918765
"West Bank"	0.0918128
one	0.0915289
"New York City"	0.0914705
corridor	0.0914631
situation	0.0914582
Iraq	0.0913853
Macao	0.0913783
restaurant	0.0909492
plain	0.0906349
landscape	0.090423
construction	0.0900601
group	0.0899846
institution	0.0897547
Republic	0.0894896
church	0.089448
apartment	0.0892893
southwest	0.0890778
ground	0.0884658
Midwest	0.0882697
family	0.0880981
farmer	0.0880924
Mexico	0.0880636
production	0.0880444
product	0.0880368
peninsula	0.0879391
future	0.0879025
Chechnya	0.0877717
department	0.0877157
Taiwan	0.0873792
compound	0.0873385
prison	0.0872714
Texas	0.0868765
locality	0.0866124
bank	0.0865911
square	0.0865652
"Latin America"	0.0863844
most	0.0862382
stronghold	0.0862286
"parking lot"	0.08621
line	0.0857423
destination	0.0856288
position	0.0856074
campus	0.0855524
Japan	0.0855291
Grozny	0.0854164
"small town"	0.0853521
university	0.0853158
"national park"	0.0853057
acreage	0.0851388
life	0.0849712
America	0.0849602
government	0.0848289
Israel	0.084733
range	0.0846922
settlement	0.0843667
problem	0.084252
case	0.0841454
JERUSALEM	0.0840506
"New England"	0.0840179
structure	0.0839969
soil	0.0838364
"Asian country"	0.0838108
Florida	0.0836298
condition	0.0835124
museum	0.0835055
ha	0.0833951
number	0.0833937
Washington	0.0833308
Thailand	0.0831834
jungle	0.0830196
tree	0.082856
Bangladesh	0.0827653
route	0.0826522
organization	0.0826355
crop	0.0825778
))
("area code" (desc 10251.6) (sims
"street address"	0.114553
"mailing address"	0.09298
"zip code"	0.0927925
"phone number"	0.0874525
"Social Security number"	0.083592
"time zone"	0.0831137
password	0.07627
prefix	0.0708311
"line of work"	0.0654981
"telephone number"	0.0647569
"identification number"	0.0643693
code	0.0617458
B-@s	0.0616889
"congressional district"	0.0600262
identifier	0.0574842
"geographical area"	0.0573066
"blood type"	0.0568729
"Medicare HMOs"	0.0553669
keyword	0.0546131
"tax bracket"	0.0540428
"line of business"	0.0535343
overlay	0.0512836
postmark	0.0512833
beepers	0.050923
"Medicare HMO"	0.0504132
"elbow room"	0.0497663
centenarian	0.0494093
handset	0.0493397
atm	0.0492467
"coat of paint"	0.0489294
"election district"	0.0487981
beeper	0.0485246
spacewalks	0.0485215
A@@@s	0.0479966
megahertz	0.0479537
zoning	0.0478773
"bus route"	0.0477537
"sugar refinery"	0.0474609
"business line"	0.0468681
vowel	0.0466539
"foster child"	0.046531
"No. @s"	0.0461573
"piece of music"	0.0461001
classification	0.0460061
"penal code"	0.0459029
enrollee	0.0456957
mindset	0.045688
typeface	0.0455334
specialities	0.0454582
timeouts	0.0454003
"geographic area"	0.0453681
eateries	0.0452802
frequency	0.0451229
"foster home"	0.0450506
"phone line"	0.0447803
"parking space"	0.0447616
"service area"	0.0447595
"reserve fund"	0.0446391
medication	0.0445782
"speeding ticket"	0.0444336
antibiotic	0.0444019
horsepower	0.0442095
registrant	0.044167
suffix	0.0440721
"computer language"	0.0439002
"nursing home"	0.0437538
state-owned	0.0435703
enlistee	0.0435545
Hotlines	0.04325
"business unit"	0.0432337
"work day"	0.0428646
"phone book"	0.0426803
"hot line"	0.0423863
dial	0.0423544
"telephone line"	0.0422664
"telephone book"	0.0421879
lifeguard	0.0421853
Ordinance	0.0419649
"branch office"	0.0419622
"telephone booth"	0.0418318
"frame of mind"	0.0417334
"tax system"	0.0416412
"telephone set"	0.0416395
"gasoline tax"	0.0415053
"public school"	0.0413501
demographics	0.0413367
"sales outlet"	0.0412702
remotes	0.0411911
sandbox	0.0409102
mind-set	0.0408891
hive	0.0408302
great-grandchildren	0.0408158
pager	0.040667
kilobits	0.0404318
"Marshall Plan"	0.0404004
"open primary"	0.040389
statute	0.0402711
"credit card"	0.0402582
hotspots	0.0401792
surcharge	0.0401411
"white blood cell"	0.040052
))
(arena (desc 88540.1) (sims
stadium	0.189359
Ballpark	0.134357
"sports arena"	0.120709
venue	0.110605
theater	0.110487
"Staples Center"	0.10884
Coliseum	0.107939
park	0.105523
hotel	0.104093
hall	0.102676
building	0.10205
gym	0.0991098
auditorium	0.0987343
"Madison Square Garden"	0.0975295
complex	0.0972947
restaurant	0.0934284
facility	0.0926802
center	0.0911037
"football stadium"	0.09105
store	0.0907986
museum	0.090449
room	0.0900167
"movie theater"	0.0890331
mall	0.0886995
"concert hall"	0.0879739
field	0.0878706
"Olympic Stadium"	0.0872715
house	0.0867358
rink	0.0864861
classroom	0.0864709
courthouse	0.0863702
gymnasium	0.0854541
marketplace	0.0853263
ballroom	0.0848521
market	0.0847716
church	0.0843383
garden	0.0842503
courtroom	0.0841147
"shopping mall"	0.0833134
Casino	0.082164
business	0.0814507
apartment	0.0810988
school	0.079988
"Yankee Stadium"	0.0798927
gallery	0.0796853
Astrodome	0.0795803
"Giants Stadium"	0.078837
Warehouse	0.0785653
home	0.0785377
palace	0.078391
"shopping center"	0.0782788
club	0.0781676
airport	0.0779389
"locker room"	0.0777044
neighborhood	0.0774501
library	0.0770712
world	0.0767723
campus	0.0766225
"office building"	0.0766097
area	0.0764773
office	0.0762528
clubhouse	0.0760548
studio	0.0758584
sport	0.0745511
garage	0.0745253
site	0.0738808
shop	0.0735104
"Georgia Dome"	0.0734627
"parking lot"	0.0731018
"Reunion Arena"	0.0730773
plaza	0.0724867
event	0.0717995
terminal	0.0717543
hospital	0.071616
stage	0.0714418
amphitheater	0.0709136
Metrodome	0.0705938
headquarter	0.0704714
forum	0.0703845
"opera house"	0.0703588
track	0.0702795
place	0.0701872
downtown	0.0700061
industry	0.0696238
station	0.0696237
"golf course"	0.068769
space	0.0683524
kitchen	0.0683487
Tower	0.0680317
city	0.0678042
square	0.067178
camp	0.0670358
"Rose Bowl"	0.066992
"high school"	0.0668788
mansion	0.0668472
factory	0.0666844
Capitol	0.06652
chamber	0.0664592
community	0.0664324
franchise	0.0662096
cafe	0.0662053
game	0.0661132
"America West Arena"	0.0660593
"swimming pool"	0.0660416
"Foxboro Stadium"	0.0659949
"Dodger Stadium"	0.0659602
nightclub	0.0658887
bar	0.0657879
Dome	0.0657425
Cathedral	0.0656899
realm	0.065401
project	0.065138
mosque	0.0650657
Fenway	0.0649262
"Fenway Park"	0.0644585
FleetCenter	0.0644087
clinic	0.0642059
pool	0.0641504
sanctuary	0.0639897
"Safeco Field"	0.0639299
booth	0.0637867
sphere	0.0636218
system	0.06362
residence	0.0632558
"Shea Stadium"	0.0632286
dormitory	0.0630104
resort	0.062832
structure	0.0627464
town	0.0626876
scene	0.0626089
politics	0.0625935
future	0.0625191
"apartment building"	0.0623795
pavilion	0.062344
court	0.0620896
"department store"	0.0618222
tournament	0.0615923
shelter	0.061542
"Turner Field"	0.0614935
team	0.0612494
pub	0.0612458
program	0.0608959
street	0.0608584
environment	0.0606654
development	0.0606301
temple	0.0601423
league	0.0601001
festival	0.0600067
motel	0.0599393
convention	0.059864
tent	0.0595988
region	0.059593
"theme park"	0.0594215
"dining room"	0.0592656
"city hall"	0.0592085
cafeteria	0.0591954
"grocery store"	0.0591931
prison	0.0591575
chapel	0.0590581
memorial	0.0590025
workplace	0.0588993
barn	0.0588956
Kingdome	0.0588789
plant	0.0587349
ring	0.0587323
village	0.0584622
landscape	0.0584552
College	0.058339
concert	0.0583382
sector	0.0582898
supermarket	0.0581038
playground	0.0581034
district	0.0580132
spot	0.0579854
"gas station"	0.0579416
hub	0.0579415
zone	0.0578161
"train station"	0.0576481
"post office"	0.0576186
suite	0.0575544
history	0.057458
cemetery	0.0574097
country	0.0573456
bookstore	0.0573287
network	0.0573088
crowd	0.0572037
life	0.0571591
society	0.0570884
monument	0.0570876
showroom	0.057047
state	0.056931
company	0.0569194
aquarium	0.056893
location	0.0566034
economy	0.0564112
tunnel	0.0562814
"Times Square"	0.0561713
synagogue	0.0561284
championship	0.0558326
Housing	0.0558269
))
("Arena Football League" (desc 1379.75) (sims
"Arena League"	0.398737
"Canadian Football League"	0.156561
XFL	0.134947
CWS	0.106776
"NFL Europe"	0.104505
AFL	0.0994251
"Division I-AA"	0.0982003
WNBA	0.0929162
"National Hockey League"	0.0922138
"Atlantic Coast Conference"	0.0919954
AHL	0.0916161
"National Football League"	0.0906477
CBA	0.0896792
"professional baseball"	0.0896287
IHL	0.0848334
lacrosse	0.0824338
"American Hockey League"	0.0816489
"World League"	0.0810055
"professional basketball"	0.0792796
"National Basketball Association"	0.0790523
WHA	0.0785733
ml	0.0783279
ABL	0.0775387
"Conference USA"	0.0772708
"professional football"	0.0770699
Pacific-@@	0.0766095
"World Championship"	0.0762904
"Continental Basketball Association"	0.0756671
"Fighting Irish"	0.0745216
"International League"	0.0740835
"AFC Central"	0.0738484
"Division @"	0.0736434
"Little League World Series"	0.0729694
ACC	0.0726393
"Big Sky Conference"	0.0721803
"Southeastern Conference"	0.072173
"Midwest Regional"	0.0721281
"American football"	0.0720957
Oriole	0.0719822
"Class AAA"	0.0711729
gopher	0.0710068
"American Football League"	0.0708336
varsity	0.0706407
"South Regional"	0.0701309
A.L.	0.0699469
snooker	0.0684489
ABA	0.0683814
"Appalachian State"	0.0683212
"National Invitation Tournament"	0.0678523
"Solheim Cup"	0.0671385
"Italian League"	0.0671339
under-@@	0.0664707
"Six Day War"	0.0664627
Razorback	0.0663238
"Big @@"	0.0662597
"Big West"	0.0660231
"little league"	0.0658453
"Horned Frogs"	0.0652901
"Cactus League"	0.0652591
"junior college"	0.0647955
"big league"	0.0646802
"International Hockey League"	0.0646385
Seahawk	0.0642831
"Western Athletic Conference"	0.0639912
"water polo"	0.0636457
croquet	0.0631954
Knick	0.06275
"Phenix City"	0.0622193
Pac-@@	0.0609598
Springbok	0.0601802
CRI	0.0600885
C-USA	0.060086
"NBA All-Star"	0.059289
"West Regional"	0.0587973
"San Diego State"	0.0587839
"road runner"	0.0587598
AAA	0.0583815
Scrabble	0.058041
Evansville	0.0579398
"Big Sky"	0.0570004
"Federation Cup"	0.056856
"Houston Oilers"	0.056647
OSU	0.0559069
"Big East"	0.0558298
"Big Red Machine"	0.0555126
Mavs	0.0550855
"Senior PGA Tour"	0.0550576
"Pacific Coast League"	0.0549081
Rugby	0.0547554
"Premier League"	0.0544369
"Fed Cup"	0.0540196
"Uber Cup"	0.0538505
WAC	0.0537555
Tabla	0.0537149
Gan	0.0535873
Ganassi	0.0533155
"NFC East"	0.0532509
"Davis Cup"	0.0531333
"ice hockey"	0.0530834
globetrotter	0.053041
ou	0.0530246
epee	0.052506
Rattler	0.0522552
CAA	0.0521457
Laker	0.0521391
"Negro Leagues"	0.0519802
"TOMS RIVER"	0.0517526
"Chinese Army"	0.0513851
AFC	0.0512938
"East Regional"	0.0512365
peewee	0.0512258
Forsythe	0.0511857
"Red Star"	0.0511202
"MLS Cup"	0.0510379
thrasher	0.0509884
DVD-ROM	0.0508682
"other eight"	0.050696
"fifth and sixth"	0.0504123
Cofidis	0.0503084
"D.C. United"	0.050183
Wolverine	0.0500484
poly	0.0499878
IRL	0.0498016
stingray	0.0497711
"League Cup"	0.0492386
"next six"	0.0492181
terrapin	0.0491481
Bundesliga	0.04867
"Los Angeles Galaxy"	0.0485363
"American Basketball League"	0.0485261
UW	0.0482829
"St. Louis Rams"	0.0482809
fifth-year	0.0481858
nonconference	0.0478643
"Pro Bowl"	0.0477381
BCS	0.0476542
Serie	0.0475505
"Chinese Olympic"	0.0475331
"NCAA Tournament"	0.0474928
improv	0.0474179
"Jeff Garcia"	0.0473679
UNT	0.0472769
"U.S. Olympic"	0.0470271
"Atlanta Thrashers"	0.0469924
UAB	0.046634
"Detroit Lions"	0.0465318
"Cleveland Browns"	0.0464683
CONCACAF	0.0462253
Roush	0.0457745
"sad sack"	0.0457538
Illini	0.0457333
"Pan Ams"	0.0457263
ragtag	0.045619
NFC	0.0450327
Lobos	0.0449729
midrange	0.0448682
Polo	0.044848
"Indy Racing League"	0.0447909
"Los Angeles Rams"	0.0445219
Childress	0.0444197
scab	0.0441796
"Top @"	0.0441274
"Copa America"	0.043909
UTEP	0.0437444
"Crimson Tide"	0.0436756
Uri	0.0436118
"Miami Fusion"	0.0435052
"College World Series"	0.0434053
Alcorn	0.0431383
"AFC West"	0.0431261
TVM	0.0430293
"Chicago Bears"	0.0429732
"San Felipe"	0.0429124
"Game Boy"	0.0427124
"Lethal Weapon"	0.0426672
Opry	0.0425724
"Sydney Olympic"	0.0424934
"Denver Nuggets"	0.0422234
"English Premier League"	0.0421672
"Nevada-Las Vegas"	0.0421279
"University of Oregon"	0.0420659
Shockwave	0.0420442
Pitt	0.0419876
"Atlanta Olympic"	0.0419531
Domino's	0.0417427
GMC	0.0417266
"other nine"	0.0416587
"National League West"	0.0416021
"Cal State Northridge"	0.0414529
LPGA	0.0413855
"National Collegiate Athletic Association"	0.0413523
"field hockey"	0.0413447
"flight simulator"	0.0412617
mountaineering	0.0411719
"Roush Racing"	0.0411486
firmament	0.0409776
"Pope John Paul"	0.0409629
"NFC West"	0.0406893
badminton	0.0406379
"Southern Cal"	0.0405769
))
("Arena League" (desc 1541.08) (sims
"Arena Football League"	0.398737
"Canadian Football League"	0.157678
"NFL Europe"	0.125233
"Texas longhorn"	0.111247
peewee	0.103428
AFL	0.103052
"professional basketball"	0.0979852
"National Football League"	0.0957851
"professional baseball"	0.0889245
Grambling	0.0876976
AHL	0.087128
"American Football League"	0.0867388
"Continental Basketball Association"	0.086559
"University of Kentucky"	0.0865496
"Cal State Northridge"	0.0851451
"junior college"	0.0844908
varsity	0.0843301
"Western Athletic Conference"	0.0827936
WHA	0.0820304
ABL	0.0807448
XFL	0.0795012
"National Basketball Association"	0.0777356
"Houston Oilers"	0.0752621
CBA	0.0742078
WNBA	0.0726733
"National Hockey League"	0.0721581
"NFC East"	0.0718943
"Southwest Conference"	0.0716161
"Los Angeles Rams"	0.0711132
WAC	0.07069
"Southeastern Conference"	0.0701217
"professional football"	0.0691732
"University of Oklahoma"	0.06854
fifth-year	0.0681484
"fifth and sixth"	0.0678611
Seahawk	0.0668802
CWS	0.0651091
cadmium	0.0646598
"Italian League"	0.064627
"Chicago Bears"	0.064295
"Premier League"	0.0632999
"Little League World Series"	0.0629634
"American Hockey League"	0.0628278
"San Diego Chargers"	0.0622897
helluva	0.062004
ABA	0.061176
"University of Connecticut"	0.0611538
"Division @"	0.0609815
"American Basketball League"	0.0605139
"St. Louis Rams"	0.0604977
"Cleveland Browns"	0.0602787
"Fighting Irish"	0.060228
ACC	0.060032
"University of Tennessee"	0.0600306
"Big West"	0.059979
"Pro Bowl"	0.0598009
lacrosse	0.0595444
marquee	0.0591584
"Division I-AA"	0.0585234
"Minnesota Vikings"	0.0584798
gridiron	0.058224
"Negro Leagues"	0.0581626
"Horned Frogs"	0.0578105
"International Hockey League"	0.0573345
"little league"	0.0571235
"American football"	0.0569475
scab	0.0568471
C-USA	0.0565796
Oriole	0.056069
highschool	0.055789
snooker	0.0556801
"Royal Shakespeare Company"	0.0554541
"minor league"	0.054562
"American Legion"	0.0543233
"Baltimore Ravens"	0.05374
"Washington Redskins"	0.053558
"big league"	0.053171
AFC	0.0528274
Knick	0.0520891
"professional golf"	0.0520396
niner	0.0520113
"California Angels"	0.0519702
gopher	0.0517435
UNLV	0.0515294
ml	0.0514924
"Detroit Lions"	0.0513123
Pitt	0.0511131
"Oregon State"	0.0510807
IHL	0.0510707
"NBA All-Star"	0.0510044
"Dallas Cowboys"	0.0508132
"NFC Central"	0.0507938
"Number @"	0.0507826
"TOMS RIVER"	0.0507085
"AFC Central"	0.050687
"North Carolina State"	0.0504349
Laker	0.050075
"Buffalo Bills"	0.0499829
"other five"	0.0499311
"Washington Wizards"	0.0497645
All-America	0.0497328
avenger	0.0493869
"Washington State"	0.0489284
"air force academy"	0.048504
"Crimson Tide"	0.0482217
"Crystal City"	0.0480361
"Toy Story"	0.047668
midrange	0.0475641
ou	0.0470986
"Cincinnati Bengals"	0.0468453
Lehigh	0.0467052
special-teams	0.0463142
Rattler	0.04627
forgotten	0.0459889
YankeeNets	0.0459484
Wishbone	0.0458985
"Big East"	0.0457607
over-@@	0.0455584
matzoh	0.0453769
"Pittsburgh Steelers"	0.0453617
"World League"	0.0453351
stingray	0.0451319
"other four"	0.0449769
JC	0.0448922
Scrabble	0.0445134
All-Pro	0.0445079
Bundesliga	0.0444224
castoff	0.0443831
"Irina Privalova"	0.0443125
"other @@@"	0.0443098
"Appalachian State"	0.0442132
loudmouth	0.0441448
"New York Yankee"	0.0441216
WSU	0.0440902
Evansville	0.0440399
"Ivy League"	0.0440319
"Big @@"	0.0439893
Mavs	0.043859
"Washington Senators"	0.0436516
"Solheim Cup"	0.0433308
billiards	0.043282
"Conference USA"	0.043108
"Green Bay Packers"	0.0430151
schoolboy	0.0428854
"International League"	0.0428519
Cal	0.042819
"Tennessee Titans"	0.0426948
BYU	0.0426145
libero	0.0425308
"batting cage"	0.0422542
Pacific-@@	0.0422235
"junior high"	0.0419592
"Nevada-Las Vegas"	0.0416178
"Phenix City"	0.0415991
Wolverine	0.0414907
journeyman	0.0414855
pro-am	0.0414737
croquet	0.0414677
CAA	0.0414507
"merchant marine"	0.0413492
"University of Georgia"	0.0412807
ECW	0.0412664
"interior decorator"	0.0412556
halfcourt	0.0410604
ragtag	0.0408607
"Southern Methodist"	0.0407299
Hattiesburg	0.0406689
"Pacific Coast League"	0.0406209
"Oakland Raiders"	0.0405989
"Dallas Burn"	0.0405752
"LPGA Tour"	0.0405155
Frisbee	0.0403489
OSU	0.0400721
))
(Arens (desc 587.518) (sims
Holl	0.19645
Moratinos	0.18715
Rifkind	0.174245
Neeman	0.167198
Ciampi	0.166892
Ruehe	0.165397
Constantinescu	0.164286
Kesri	0.161497
Granic	0.160081
Meguid	0.155931
Teresi	0.151658
Nateq-Nouri	0.150915
Kerik	0.150186
"de Charette"	0.149504
Wolfson	0.147745
Kasoulides	0.145239
Scharping	0.145162
Velayati	0.144278
Azad	0.142463
Bruton	0.142191
Stoyanov	0.141089
Pustovoitenko	0.140394
Rodionov	0.13981
Komura	0.139239
Iliescu	0.138956
Passarella	0.138853
Musgrove	0.138417
Baer	0.138283
Waigel	0.138179
Zou	0.137461
Carollo	0.135657
Kwasniewski	0.135523
Boueiz	0.135361
Maslyukov	0.135305
Alarcon	0.13501
Shamshad	0.134319
Shareh	0.1337
Nkomo	0.132926
Meissner	0.132575
Rawabdeh	0.131986
Gujral	0.131476
Ben-Ami	0.131382
Klima	0.131094
Juppe	0.131039
Romer	0.130873
Korman	0.129963
Galbraith	0.129738
Ikeda	0.129287
Bouteflika	0.129225
Karimov	0.129034
Tierney	0.128017
Nujoma	0.127754
Juma	0.127523
Verniero	0.127061
Jayakumar	0.127019
Edelstein	0.126449
Koehler	0.126435
Dodik	0.126302
Hauser	0.126055
Sassa	0.1256
Ralston	0.125275
Kumaratunga	0.124915
Bulatovic	0.124655
Kostov	0.12465
Duisenberg	0.12453
Eyadema	0.123996
Ribbeck	0.123629
Pangalos	0.123586
Harmoko	0.123181
Schottenheimer	0.12301
Preval	0.122457
Zarb	0.121885
Tarawneh	0.121856
Schrempp	0.1212
Fiorina	0.120664
Rudman	0.120269
Murayama	0.119458
Ruggiero	0.119308
Sharansky	0.11926
Maldini	0.119212
Singson	0.119005
Gullit	0.118983
Severino	0.118899
Bochy	0.118291
Mejia	0.118087
Muluzi	0.118
Naumann	0.117997
Abdel-Meguid	0.117965
Lamberth	0.117843
Mineta	0.117568
Walesa	0.117212
Ftorek	0.116212
Kajiyama	0.116141
Kagame	0.115901
Nickerson	0.114593
Banzer	0.114398
Kennelly	0.114222
D'Alessandro	0.113725
Hrawi	0.113589
Wagoner	0.113548
Hallinan	0.113365
Sumaye	0.113184
Brazile	0.113175
Milbury	0.113052
Lari	0.112792
Marineau	0.11262
Venables	0.112529
Zambrano	0.112468
Ivester	0.112411
Largent	0.112286
Hybl	0.112012
Jovanovic	0.111944
Niyazov	0.111782
Kessler	0.11174
Buzek	0.111681
Goode	0.111266
Eizenstat	0.111256
Bellamy	0.111115
Pickering	0.111086
Rakhmonov	0.111018
Simitis	0.110775
Kyl	0.110601
"Secretary General Esmat Abdul-Meguid"	0.110578
Ikimi	0.11019
Brittan	0.110127
Khai	0.109929
Bishara	0.109903
Troussier	0.109477
Shahak	0.10929
McManus	0.10904
Zadornov	0.108748
Seleznyov	0.108507
McGreevey	0.108426
Abubakar	0.108332
Lamont	0.107828
Mordechai	0.107621
Sutiyoso	0.107582
Sheehan	0.10743
Cavallo	0.107221
Rong	0.107075
"Xie Zhenhua"	0.106695
Lehane	0.106518
Tsang	0.106405
Taft	0.106114
LaPierre	0.106077
Loeb	0.105736
Dini	0.105515
Hearn	0.105499
Rubinstein	0.105254
Juncker	0.104957
Nzo	0.10484
Nasrallah	0.104792
hodgson	0.10461
Bronfman	0.10438
Trulock	0.104367
Indyk	0.104355
Aoki	0.104191
Rongen	0.103913
Sahnoun	0.103794
Ashrawi	0.103718
Yadav	0.103627
Blazevic	0.103521
Ganzouri	0.103307
Mowlam	0.10325
Mandelson	0.103172
Isakson	0.103067
Shara	0.103031
Galindo	0.102986
Brinkman	0.102616
Kabariti	0.102214
Gowda	0.102013
Beilin	0.101826
Magaziner	0.101735
Talebi	0.101657
ISSEL	0.101606
Phieu	0.101594
McMullen	0.101251
Pastore	0.101185
Kharrazi	0.101103
al-Sahhaf	0.101022
Ghali	0.100816
SDS	0.100776
Fraga	0.100559
Moscoso	0.100517
Kornberg	0.10042
Gorman	0.100282
Stoneman	0.100261
Luong	0.100246
Ecevit	0.0997864
Cao	0.09971
"Lee Hsien Loong"	0.099607
Guterres	0.0996063
Papandreou	0.0994253
Hynes	0.0991805
Levitt	0.0989785
Badillo	0.0989294
Linder	0.0989192
Daft	0.0987408
Vasile	0.0984842
McCurry	0.0984449
))
("Aretha Franklin" (desc 4669.06) (sims
"Marvin Gaye"	0.193847
"Mariah Carey"	0.165371
"Ella Fitzgerald"	0.149477
"Celine Dion"	0.14859
"Eric Clapton"	0.148547
"Stevie Wonder"	0.142033
"Whitney Houston"	0.137772
"Tony Bennett"	0.136633
"Joni Mitchell"	0.133302
Cher	0.133
"Bonnie Raitt"	0.132826
"Diana Ross"	0.127927
"Elton John"	0.127844
"GLORIA ESTEFAN"	0.127419
"Tina Turner"	0.127123
"Harry Belafonte"	0.12684
"Natalie Cole"	0.124106
"Andrea Bocelli"	0.12304
"LeAnn Rimes"	0.122671
"Sheryl Crow"	0.120891
"Rolling Stones"	0.116923
"Shania Twain"	0.115891
"Phil Collins"	0.11556
"Bob Marley"	0.115288
"Carly Simon"	0.110641
"Enrique Iglesias"	0.109919
"Reba McEntire"	0.109843
"Barbra Streisand"	0.107732
"Faith Hill"	0.104994
"Garth Brooks"	0.102702
"Little Richard"	0.102245
"Ray Charles"	0.102043
"James Taylor"	0.10164
"Mary J. Blige"	0.100825
"Tracy Chapman"	0.0981067
"B.B King"	0.0979266
"Jessye Norman"	0.097027
"Don Henley"	0.0966128
"Janet Jackson"	0.0965701
"Frank Sinatra"	0.0962284
"Lauryn Hill"	0.0959089
"Lenny Kravitz"	0.0956877
"Dixie Chicks"	0.0951283
"Britney Spears"	0.0944725
"George Strait"	0.0932207
"Luther Vandross"	0.0926671
"Count Basie"	0.0924987
"Patti Smith"	0.0923316
"Chuck Berry"	0.0918129
"Elvis Costello"	0.0915324
"Billy Joel"	0.0904589
"Jimi Hendrix"	0.0904533
"Billie Holiday"	0.0900669
"Joan Baez"	0.0898895
"Liza Minnelli"	0.0897315
"Bruce Springsteen"	0.0892284
"Dean Martin"	0.0879397
"Neil Young"	0.087849
"Peter Gabriel"	0.0867022
"Christina Aguilera"	0.0863785
U@	0.0855643
"John Mellencamp"	0.0854713
"Lyle Lovett"	0.0845699
"James Brown"	0.0844797
"Linda Ronstadt"	0.0842626
"Emmylou Harris"	0.0830983
"Rod Stewart"	0.0827997
"Ricky Martin"	0.0821053
"Diana Krall"	0.0819662
"Janis Joplin"	0.0815062
Madonna	0.0812912
"Merle Haggard"	0.0808746
Bono	0.0800353
"Bob Dylan"	0.0785529
"Elvis Presley"	0.0784807
"Sarah McLachlan"	0.0783395
"Clint Black"	0.0780994
"Toni Braxton"	0.0773958
"Sammy Davis Jr."	0.0772659
"Michael Jackson"	0.0771069
"Tom Jones"	0.0759957
D'Angelo	0.0756559
"Nat King Cole"	0.075637
"Alanis Morissette"	0.0754546
"Mick Jagger"	0.0754354
"Boyz II Men"	0.0752518
"Johnny Cash"	0.0747702
"Miles Davis"	0.0742848
"Muddy Waters"	0.0722835
"Jennifer Lopez"	0.071701
"Puff Daddy"	0.0715961
Beatles	0.0713992
"Dolly Parton"	0.0708959
"David Bowie"	0.0698946
"Judy Garland"	0.0698186
"Marc Anthony"	0.068997
"Joan Rivers"	0.068791
"Kurt Cobain"	0.0687737
"Erykah Badu"	0.0675554
"Paul McCartney"	0.0671771
"Sidney Poitier"	0.0671636
"Van Morrison"	0.067078
"Pearl Jam"	0.0670446
"R. Kelly"	0.0669484
"Macy Gray"	0.0666467
"Dizzy Gillespie"	0.0664638
"Trisha Yearwood"	0.066323
"Jimmy Buffett"	0.0653497
"Lou Reed"	0.064626
TLC	0.0644133
"George Michael"	0.0642809
Liberace	0.0642346
"Vanessa Williams"	0.0636214
Santana	0.0630876
"Jim Morrison"	0.0622102
"Bing Crosby"	0.0620225
Babyface	0.061194
"Whoopi Goldberg"	0.0607343
"Spice Girls"	0.0605111
"James Dean"	0.0604969
"Luciano Pavarotti"	0.060435
"Audra McDonald"	0.0603409
"Paul Simon"	0.0591647
"Wynton Marsalis"	0.0573215
Bocelli	0.0566813
Supremes	0.0564904
"Melissa Etheridge"	0.0563071
Dion	0.0562012
"Renee Fleming"	0.0561883
Wynonna	0.0559549
"Vince Gill"	0.0559136
"Bobby Brown"	0.055754
"Michael Bolton"	0.0557422
"N Sync"	0.0555349
"Steely Dan"	0.0551662
Presley	0.0545409
"Rob Thomas"	0.0542323
"Tim McGraw"	0.0541914
"Kirk Franklin"	0.0541129
"Pink Floyd"	0.0539418
"Robert Redford"	0.0539058
"Willie Nelson"	0.0537676
Aerosmith	0.053727
"Louis Armstrong"	0.0535473
"Jon Bon Jovi"	0.0535031
"Chrissie Hynde"	0.0534103
"Jerry Garcia"	0.0533202
Springsteen	0.052986
"Elizabeth Taylor"	0.0526583
"George Jones"	0.0525866
"Angela Bassett"	0.0524419
"Julie Andrews"	0.0519091
crooner	0.0517728
"Led Zeppelin"	0.0513636
"John Coltrane"	0.0508197
"Tammy Wynette"	0.0505628
"Quincy Jones"	0.0504563
"Cindy Crawford"	0.0504299
"Tom Petty"	0.0503113
"Fred Astaire"	0.0502952
"David Copperfield"	0.050257
"Marx Brothers"	0.0500937
"Dwight Yoakam"	0.0495924
blowfish	0.0492099
"Don Shula"	0.0491141
Sinatra	0.0490203
"Jo Dee Messina"	0.0489374
Streisand	0.0483288
Selena	0.0481417
"Martina McBride"	0.0479714
"Hank Williams"	0.047475
brandy	0.0471858
"Lucille Ball"	0.0469807
Morissette	0.046847
"William Shatner"	0.0468393
"Randy Newman"	0.0467638
"Patsy Cline"	0.0467116
Reznor	0.0466011
"Oprah Winfrey"	0.0465843
"Benny Goodman"	0.0465681
"Marilyn Monroe"	0.0462066
"Ted Koppel"	0.0461469
"Martin Short"	0.0460251
"Bette Midler"	0.0458936
"Jane Fonda"	0.0457068
"Red Hot Chili Peppers"	0.0450354
Spears	0.0449657
Crosby	0.0447605
"Smashing Pumpkins"	0.044737
"Dave Matthews Band"	0.0446937
Aguilera	0.0446597
Ronstadt	0.0443724
"Loretta Lynn"	0.0442378
"Robin Williams"	0.0442303
"Alan Jackson"	0.0442043
"Public Enemy"	0.0440973
"Josephine Baker"	0.0438377
"Mandy Patinkin"	0.0437625
"Grateful Dead"	0.043729
"Carlos Santana"	0.043633
))
(ARF (desc 5952.18) (sims
"ASEAN Regional Forum"	0.321423
ASEM	0.237063
AMM	0.186279
APEC	0.18391
"Asia-Europe Meeting"	0.183125
eco	0.161245
"Asia-Pacific Economic Cooperation"	0.147015
G-@@	0.140242
JMC	0.137619
SAARC	0.127818
"Damascus Declaration"	0.127579
ASEAN	0.127473
"South Pacific Forum"	0.126021
PECC	0.1167
"Association of Southeast Asian Nations"	0.115856
"Asia Pacific Economic Cooperation"	0.1153
"ASEAN Ministerial Meeting"	0.114254
"Non-Aligned Movement"	0.112481
"Congress Working Committee"	0.110925
OIC	0.110623
"Group of Rio"	0.107919
"Arab Parliamentary Union"	0.107887
"Consultative Group"	0.107816
IGC	0.107236
D-@	0.106686
UNCTAD	0.106459
"Group of @@"	0.105222
"PLO Executive Committee"	0.10481
WEU	0.104783
COMESA	0.103307
OECD	0.102448
forum	0.100504
G-@	0.0992353
FOMC	0.0990655
"Group of Eight"	0.0988386
ESCAP	0.098829
Asia-Europe	0.0983782
"General Council"	0.097326
SADC	0.0971312
"Ministerial Conference"	0.0966987
"Alcoholics Anonymous"	0.0963852
"Supreme Council"	0.0962323
NAM	0.0961605
IGAD	0.0957538
CWC	0.095598
UPU	0.0945979
CGI	0.0943617
CMAG	0.0937185
IPU	0.0937179
PATA	0.0928372
"Joint Military Commission"	0.0927286
NSC	0.0917995
GCC	0.0905828
"Jerusalem Committee"	0.0903865
E.U	0.0903607
"Rio Group"	0.090065
"Andean Community"	0.0898432
CPPCC	0.0897214
fora	0.0894938
"Arab League"	0.0893457
"Fortune Global Forum"	0.0883063
"Commonwealth Ministerial Action Group"	0.0882253
PNC	0.0875893
CPLP	0.0870402
plenum	0.086856
"Israeli Cabinet"	0.0854508
"Palestinian Council"	0.085328
EAC	0.0851874
CITES	0.0840637
"Ministerial Meeting"	0.0837338
Presidium	0.0833502
"working group"	0.0832736
"International Congress"	0.0832606
JLG	0.0820328
"Andean Group"	0.0815794
Mercosur	0.0813937
ITU	0.0811857
"ASEAN Free Trade Area"	0.0811653
PCC	0.0808298
"Contact Group"	0.0808293
"North Atlantic Council"	0.0805689
"European Council"	0.0805176
"Organization of Islamic Conference"	0.0800406
"Southern African Development Community"	0.0799626
G@	0.0799198
"Paris Club"	0.0799046
WTO	0.0797666
"Federal Open Market Committee"	0.0793556
UN	0.0788968
"steering committee"	0.0783963
"Organization for Economic Cooperation and Development"	0.0782048
"General Committee"	0.0776718
"Rules Committee"	0.0771566
"Economic Cooperation Organization"	0.0769874
"UN Security Council"	0.0768046
CEC	0.0767421
"Executive Committee"	0.0763935
"Inter-Governmental Authority on Development"	0.076249
Roundtable	0.0758505
OSCE	0.0758022
symposium	0.0755026
"Palestine National Council"	0.0752909
OAS	0.0750736
"East African Cooperation"	0.0747091
ICA	0.07464
NPC	0.0745233
taskforce	0.0741194
Mensa	0.0740962
"U.N. Human Rights Commission"	0.0737349
"Business Council"	0.0736445
"United Nations Conference"	0.0736113
"Congressional Black Caucus"	0.0732704
"International Symposium"	0.0732479
"Council of Ministers"	0.0730616
"South Asian Association for Regional Cooperation"	0.0728869
ADB	0.0727736
seminar	0.0722595
ECOWAS	0.0719624
"Plenary Session"	0.0717155
"World Conference"	0.0716512
ICC	0.0713072
"standing committee"	0.0710602
G@@	0.0707795
MPR	0.0705598
WIPO	0.0704994
"National Council"	0.0703145
"Organization of Petroleum Exporting Countries"	0.0699377
"National Committee"	0.0697896
"World Economic Forum"	0.0697709
OCA	0.0697053
"World Trade Organization"	0.0697036
"three-day event"	0.0695415
"Lome Convention"	0.0695358
CSA	0.0694389
"Selection Committee"	0.06926
"military commission"	0.0684591
"Common Market for Eastern and Southern Africa"	0.0684519
"Gulf Cooperation Council"	0.0683417
"United Nations Security Council"	0.068062
"South Summit"	0.0680131
"Western European Union"	0.0676598
"Caribbean Community"	0.067446
"general assembly"	0.0672374
EMU	0.0671128
"World Food Summit"	0.0669772
"round table"	0.0666829
"Star Alliance"	0.0666732
"interim committee"	0.0666159
ECA	0.0665275
"executive council"	0.0664321
"Provisional Legislative Council"	0.066159
"Preparatory Committee"	0.0659176
interagency	0.0658396
"Islamic Conference"	0.0654595
ACP	0.065375
"Group of Seven"	0.0650473
"Board of Governors"	0.0649973
plc	0.0649365
UPC	0.0648957
Ci	0.0648845
China-U.S.	0.0647736
"Palestinian National Council"	0.0645828
OAU	0.0641523
"International Conference"	0.063951
"Human Rights Commission"	0.0634851
OPEC	0.0632337
"Security Council"	0.0631335
CPAFFC	0.063027
"conference committee"	0.0628407
"Provisional Ruling Council"	0.0627292
"CPPCC National Committee"	0.0626562
PTA	0.0626103
"National Executive Committee"	0.062357
"Multimedia Super Corridor"	0.0619751
"World Petroleum Congress"	0.0618959
IEA	0.0618626
"U.N. Millennium Summit"	0.0609451
Russian-U.S.	0.0606633
troika	0.0606252
"United Nations Conference on Trade and Development"	0.0605448
"Joint Commission"	0.060433
"Lambeth Conference"	0.0603578
"International AIDS Conference"	0.0603122
"House International Relations Committee"	0.0602869
"NPC Standing Committee"	0.0600448
"Special Session"	0.0597823
"Senate Budget Committee"	0.0597821
sub-commission	0.0595373
"Council of Europe"	0.0593483
UMNO	0.0592931
AmCham	0.0592925
sub-regional	0.059005
"summit meeting"	0.058942
"Joint Liaison Group"	0.0589106
"Millennium Summit"	0.0588718
"National Congress"	0.0586098
Sino-U.S.	0.0585855
CPF	0.0585783
CSC	0.0585071
NDA	0.0584242
))
(Argentina (desc 84948.3) (sims
Brazil	0.279332
Chile	0.230989
"South Korea"	0.228398
Uruguay	0.22686
Spain	0.216913
Norway	0.216786
Italy	0.215943
Mexico	0.215442
Colombia	0.214026
Denmark	0.213084
Netherlands	0.212306
"South Africa"	0.209598
Sweden	0.207559
Peru	0.206728
Venezuela	0.205857
Australia	0.205771
Canada	0.205402
Romania	0.204153
Germany	0.203599
France	0.202839
Bulgaria	0.202165
Hungary	0.199417
Poland	0.199051
Bolivia	0.197333
Paraguay	0.197147
Croatia	0.194074
Ecuador	0.19395
Belgium	0.191501
"Costa Rica"	0.187178
"New Zealand"	0.187129
Tunisia	0.186303
Japan	0.185433
Guatemala	0.185197
Thailand	0.184292
Finland	0.182868
"Saudi Arabia"	0.182623
Malaysia	0.180336
Cuba	0.180284
"Czech Republic"	0.179781
Nigeria	0.179261
Ukraine	0.178869
Egypt	0.178309
Austria	0.17793
Portugal	0.175571
Switzerland	0.174771
Morocco	0.172788
Panama	0.171562
Russia	0.170127
Greece	0.169876
England	0.167349
"United States"	0.167105
Lithuania	0.163966
Scotland	0.160931
Nicaragua	0.160584
Iran	0.158433
Jamaica	0.15828
Ghana	0.15762
Indonesia	0.157392
Britain	0.157274
India	0.157204
"Dominican Republic"	0.154075
Slovakia	0.153686
China	0.152765
Kenya	0.152356
"El Salvador"	0.150386
"Sri Lanka"	0.150261
Zimbabwe	0.150242
Ireland	0.149755
Kazakhstan	0.149534
Pakistan	0.148892
Algeria	0.148774
Philippines	0.147439
Iceland	0.145972
Uzbekistan	0.144756
Slovenia	0.140307
Luxembourg	0.139745
Yugoslavia	0.139149
Cameroon	0.138414
Qatar	0.138364
Belarus	0.137957
Oman	0.137765
"Trinidad and Tobago"	0.13776
Singapore	0.137505
Honduras	0.137422
Bangladesh	0.13689
Ethiopia	0.135781
Turkey	0.135187
Vietnam	0.133704
Senegal	0.133631
Angola	0.132225
Kuwait	0.131528
"United Arab Emirates"	0.129259
Namibia	0.128491
Zambia	0.127962
Mozambique	0.124376
Moldova	0.123618
Botswana	0.12348
Mongolia	0.122988
Brunei	0.122708
"Puerto Rico"	0.122282
Latvia	0.121678
Haiti	0.120946
Malta	0.12092
Uganda	0.120626
Bahrain	0.120548
"United Kingdom"	0.119263
Tanzania	0.119147
Estonia	0.118326
Fiji	0.118277
Cambodia	0.118096
Israel	0.116069
Yemen	0.116059
Libya	0.116036
Myanmar	0.114813
Georgia	0.114202
Mali	0.11414
country	0.113237
Syria	0.112784
Armenia	0.11269
Nepal	0.112359
"The Netherlands"	0.112007
"Papua New Guinea"	0.110148
Holland	0.110028
"Great Britain"	0.10892
Albania	0.108835
"North Korea"	0.107974
Gabon	0.107869
"Ivory Coast"	0.107675
UAE	0.107171
Sudan	0.106789
Guyana	0.10445
Taiwan	0.10419
"Hong Kong"	0.103979
Korea	0.103097
"Republic of Korea"	0.103093
"European country"	0.101556
Barbados	0.100905
Wales	0.10083
"Central American country"	0.100756
"Latin America"	0.100376
Laos	0.100176
"Chinese Taipei"	0.100143
Europe	0.0996972
Turkmenistan	0.0993023
Mauritius	0.0983484
"African country"	0.0973683
Republic	0.0962628
Afghanistan	0.0961673
Benin	0.0961567
Guinea	0.0957233
Kyrgyzstan	0.0955364
Cyprus	0.0945008
Kazakstan	0.0942244
Iraq	0.0939292
Belize	0.0938487
"Burkina Faso"	0.0937792
Azerbaijan	0.0935587
U.S.	0.0935512
Macedonia	0.0932783
Jordan	0.093242
"South America"	0.092045
"Asian country"	0.0919377
Malawi	0.091665
Lebanon	0.0912593
Swaziland	0.0911966
Africa	0.0910951
Togo	0.0908432
Bahamas	0.090037
nation	0.0888109
Liberia	0.0876594
"Real Madrid"	0.0872065
Asia	0.0869452
"Asian nation"	0.086409
Florida	0.0862578
"Soviet Union"	0.0857694
"South American country"	0.0856668
"Central America"	0.0856087
Eritrea	0.0854699
Taipei	0.0852636
"Manchester United"	0.0851978
EU	0.0847237
"Sierra Leone"	0.0845577
"DPR Korea"	0.0845553
Rwanda	0.0844
Barcelona	0.0841894
Juventus	0.0830275
BEIJING	0.0829846
Madagascar	0.0829118
Suriname	0.0827511
Czechoslovakia	0.0823351
"New Jersey"	0.0821608
Serbia	0.0816891
Congo	0.0815791
Guangdong	0.0815755
"African nation"	0.0814943
Indiana	0.081332
"Northern Ireland"	0.0812458
ROK	0.0810355
"North America"	0.0804223
Burundi	0.0802775
))
(Argentine (desc 11107.5) (sims
Chilean	0.141588
Paraguayan	0.138099
Brazilian	0.135912
Norwegian	0.124005
Colombian	0.119868
Spaniard	0.117346
Peruvian	0.116662
Italian	0.114764
Tunisian	0.111329
Mexican	0.108994
Austrian	0.107699
Belgian	0.107144
Canadian	0.106595
Briton	0.106483
Ukrainians	0.105978
"South Koreans"	0.104768
German	0.102573
Vietnamese	0.101109
Venezuelan	0.100669
Bolivian	0.100205
Lebanese	0.0993056
Romanian	0.0972093
"New Zealander"	0.096539
Panamanian	0.0962467
Koreans	0.0958731
Swede	0.095817
Australian	0.095705
Uruguayan	0.0947775
Bulgarian	0.0937518
Frenchmen	0.0928224
Swiss	0.0920054
Haitian	0.0899035
Cuban	0.0891078
Russian	0.0886187
Thai	0.0886135
Filipino	0.08848
"South African"	0.0876879
Portuguese	0.0873774
Frenchman	0.0873368
Moroccan	0.0859144
Japanese	0.0847395
Cambodian	0.0847069
Indonesian	0.0839596
Angolan	0.0837889
Iranian	0.0834453
Ecuadoran	0.0818658
Hungarian	0.0811266
Malaysian	0.0809532
Nigerian	0.0794685
Saudi	0.078635
Yugoslav	0.0785096
Nepalese	0.0776792
Taiwanese	0.0771489
Czech	0.077077
Algerian	0.0767927
Yemeni	0.0765835
Cypriot	0.0760824
Egyptian	0.0755405
Guinean	0.0747242
Kenyan	0.0741738
Jordanian	0.0732037
Jamaican	0.072052
Dominican	0.0715483
British	0.0711802
Dutch	0.0711395
foreigner	0.0709127
Finn	0.0706954
European	0.070039
Eritrean	0.0697878
Namibian	0.0697453
"New Englander"	0.0695723
Singaporean	0.0695088
Ethiopian	0.0687015
Salvadoran	0.0686821
"North Koreans"	0.0683372
Guatemalan	0.0681456
Ghanaians	0.0675461
Sudanese	0.0672649
Greeks	0.0670224
Bosnians	0.0669852
westerner	0.0669697
French	0.066648
Swedish	0.066635
Zambian	0.0664896
Dane	0.0660744
Bangladeshi	0.0658768
Tanzanian	0.0649225
Scots	0.0647538
Kuwaiti	0.0645729
Scandinavian	0.0642162
Argentina	0.0641218
Mozambican	0.0639477
Senegalese	0.0637467
Irish	0.0630043
Floridian	0.062707
Ugandan	0.0625106
Ecuadorian	0.0617876
"South Korean"	0.0615463
Gremio	0.0614773
Pakistani	0.0613764
illegals	0.0612525
Yugoslavian	0.0610118
Indian	0.0608937
African	0.0606561
Syrian	0.0605463
Californian	0.0600361
Turk	0.0598689
Slovenian	0.0597296
Mongolian	0.0596424
Georgian	0.0595201
Honduran	0.0593037
Liberian	0.0592073
Enqvist	0.0589819
tourist	0.0586881
Zimbabwean	0.0585973
Uruguay	0.0582868
Laotian	0.0582786
Libyan	0.0582755
Ukrainian	0.058181
"Puerto Rican"	0.0581691
Majoli	0.0579701
Texan	0.0578961
backpackers	0.0578891
wildcat	0.0574236
Finnish	0.0573942
Danish	0.0570473
businessmen	0.0565741
Iraqi	0.0565577
"Steffi Graf"	0.0562466
"Colo Colo"	0.0561495
"Latin American"	0.0560833
Israeli	0.05582
mainlanders	0.0557734
Chicagoans	0.055629
Somali	0.0554267
Stoltenberg	0.055212
Frenchwoman	0.0550556
Seles	0.0547313
Londoner	0.0546613
"Kosovo Serbs"	0.0543147
Korean	0.054265
husky	0.0538806
holidaymaker	0.0538548
Cuban-Americans	0.0536792
Fijian	0.0536394
villager	0.0528865
Congolese	0.0527862
Spanish	0.0526613
Medvedev	0.05263
Gators	0.0525322
skier	0.0524565
"Albert Costa"	0.0524217
"Sierra Leonean"	0.0524205
Englishmen	0.0521485
Turkish	0.0519092
Afghan	0.051774
Nicaraguan	0.0517438
Englishman	0.0514133
"Bosnian Muslims"	0.0513492
Aussie	0.0512984
Gama	0.0512279
Iowan	0.0511769
miner	0.0510771
piston	0.0510652
"South American"	0.0510372
Kiefer	0.0508208
Greek	0.0506363
Asian	0.050426
"Fernando Meligeni"	0.0503214
Irishmen	0.050216
Gustafsson	0.0499361
Philippoussis	0.0498945
Serbian	0.0498827
"Australian Mark Philippoussis"	0.0498434
"Southern Common Market"	0.0496519
Dutchmen	0.0496038
Englishwoman	0.0495659
"Albanian Kosovars"	0.0494975
"Van Roost"	0.0494727
Tibetans	0.049464
Bruguera	0.0493222
"Sri Lankans"	0.0492832
"East German"	0.0492547
Khorkina	0.0492455
Taufik	0.0492142
Parisian	0.0491606
Arizonan	0.0490561
Lithuanians	0.048992
Kurds	0.0488867
matador	0.0488061
"Marcelo Rios"	0.0485928
Raoux	0.0485535
sailor	0.0485443
bulldog	0.0484916
climber	0.0484041
"enlisted man"	0.0483588
Pioline	0.0483063
"New York Republicans"	0.0482809
"Serena Williams"	0.0482674
"Iraqi POWs"	0.0482544
))
(argot (desc 1335.89) (sims
patois	0.0798952
Menudo	0.0670285
Jawbreaker	0.0597279
vernacular	0.0596237
lingo	0.0567736
jargon	0.0566391
parlance	0.0561504
multipolarization	0.0534817
"disk jockey"	0.0522657
"tool kit"	0.0503369
drivel	0.0494142
"stage name"	0.0492465
luminary	0.0492043
realpolitik	0.0481907
careerist	0.0444731
fakery	0.0441199
laughingstock	0.0436209
pinup	0.0436178
affectation	0.0433334
selloffs	0.0430524
zeitgeist	0.0427702
nonentity	0.0422763
"Big Red Machine"	0.0420808
"Wide World"	0.0420761
"hot plate"	0.0419711
bashing	0.0417784
multi-polarization	0.0413765
worrier	0.0406124
stratum	0.0403704
moralism	0.0402961
))
(argument (desc 130003) (sims
debate	0.149128
testimony	0.140339
claim	0.132059
assertion	0.131817
appeal	0.125657
question	0.118762
discussion	0.116034
case	0.114433
statement	0.113969
complaint	0.113472
allegation	0.11229
theory	0.111716
criticism	0.110388
proposal	0.108353
accusation	0.107528
fight	0.107276
suggestion	0.107262
hearing	0.106747
evidence	0.104321
dispute	0.103507
explanation	0.102914
objection	0.102499
lawsuit	0.101837
idea	0.101733
decision	0.100881
disagreement	0.100806
plea	0.100748
request	0.100438
conversation	0.0994939
battle	0.0994748
comment	0.0994722
contention	0.098647
rationale	0.0975291
strategy	0.0973857
opinion	0.0973578
controversy	0.097181
ruling	0.0964906
trial	0.0941497
confrontation	0.0934896
motion	0.0932642
speech	0.0929604
rhetoric	0.0918351
remark	0.0913796
presentation	0.0912395
issue	0.0903552
recommendation	0.0901388
finding	0.0899708
concern	0.0896864
action	0.0895112
struggle	0.0894082
proceeding	0.0891529
view	0.088652
judgment	0.0886341
tactic	0.0880919
petition	0.087976
notion	0.0878509
deliberation	0.0877385
conclusion	0.0871452
protest	0.0870404
charge	0.0856
challenge	0.0852623
story	0.0847956
approach	0.0840284
reasoning	0.0837908
message	0.0836888
negotiation	0.083363
brief	0.0831851
quarrel	0.0826586
fact	0.0825251
verdict	0.0824564
plan	0.0821576
report	0.0819536
inquiry	0.0818597
vote	0.0816788
campaign	0.0815558
speculation	0.0814361
conflict	0.0813712
effort	0.0813148
investigation	0.0812233
questioning	0.081019
rumor	0.0808094
witness	0.0805584
deposition	0.0803765
answer	0.0799744
talk	0.0794006
concept	0.0792447
precedent	0.0791346
litigation	0.0789694
sentiment	0.0788191
interpretation	0.078815
difference	0.0786295
position	0.0785159
justification	0.0781353
response	0.0775812
altercation	0.0773087
advice	0.0772412
feud	0.0768987
stance	0.0759982
relationship	0.0756251
clash	0.075157
scenario	0.0747326
squabble	0.0744528
reaction	0.0744387
cross-examination	0.0742594
policy	0.074075
matter	0.0737847
analysis	0.0737104
agenda	0.073502
word	0.0734418
demand	0.0733983
problem	0.0733114
attempt	0.0731754
logic	0.0730673
attack	0.0726838
theme	0.072653
belief	0.0726167
prediction	0.072432
reason	0.0722296
suit	0.0718593
compromise	0.0714633
letter	0.0713773
document	0.0712416
warning	0.0710596
feeling	0.0710211
excuse	0.0707223
assessment	0.0706655
rebuttal	0.0706133
assumption	0.0705414
vision	0.0704337
procedure	0.0703892
scandal	0.0702321
detail	0.0700213
consensus	0.0699414
interview	0.0697202
rule	0.0697105
thinking	0.0696381
support	0.0695989
confusion	0.0694504
denial	0.0694308
proposition	0.0693545
tension	0.0693488
wrangling	0.0690197
meeting	0.0689717
politics	0.0688816
behavior	0.0688687
practice	0.0687894
rivalry	0.0686175
observation	0.0685809
situation	0.06854
initiative	0.0682454
demonstration	0.0682086
AD	0.0681167
measure	0.0680265
Declaration	0.0679205
Defense	0.0678395
perception	0.0677317
skirmish	0.0677103
legislation	0.0676909
process	0.067615
promise	0.0674705
method	0.0674609
appearance	0.0673727
filing	0.0673624
"antitrust case"	0.0672073
threat	0.0670954
incident	0.0670713
law	0.0670339
outcry	0.066902
agreement	0.0668534
confession	0.0667289
need	0.0665478
opposition	0.0665094
that	0.0664387
thought	0.066358
desire	0.0662217
pronouncement	0.0661648
dilemma	0.0660821
joke	0.0660777
misunderstanding	0.0660735
prosecution	0.0657761
brawl	0.065626
pressure	0.0656034
war	0.0656029
description	0.0653699
conviction	0.0652935
principle	0.0652865
summation	0.065102
myth	0.0650125
indictment	0.064888
study	0.0648358
fighting	0.0646861
exchange	0.0646686
review	0.0646352
change	0.0645199
calculation	0.0644992
thing	0.0644323
bickering	0.0644286
assurance	0.0642254
dialogue	0.063938
suspicion	0.063644
))
(Argun (desc 5382.57) (sims
Vedeno	0.286429
Gudermes	0.257339
Urus-Martan	0.229428
Shali	0.162212
Grozny	0.14134
Makeni	0.137859
Matadi	0.131663
Golcuk	0.124114
Taloqan	0.12014
Izmit	0.119489
Orahovac	0.117658
Kizlyar	0.113187
Bamiyan	0.111779
Kailahun	0.108257
Batticaloa	0.104031
Lhokseumawe	0.103952
Baalbek	0.103389
Nabatiyeh	0.101326
Bukavu	0.0977543
Jalalabad	0.0973622
Kandy	0.0929272
Juba	0.0924789
Urosevac	0.0907654
Junik	0.0892542
"Banja Luka"	0.0875492
Prizren	0.0874965
Kindu	0.0874006
Malisevo	0.0860099
Jinja	0.08571
Jezzine	0.0848748
"San Cristobal"	0.0845799
Decani	0.0840139
Leskovac	0.0836543
Khabarovsk	0.0822387
Beersheba	0.0820649
Pailin	0.0819127
Warri	0.0809173
Gnjilane	0.0791379
"Kosovska Mitrovica"	0.0784367
Vukovar	0.0781905
Cochabamba	0.0780942
Mankulam	0.0779086
Lucknow	0.0773928
Trincomalee	0.0773339
"Suva Reka"	0.0771471
Posoltega	0.077107
Vladikavkaz	0.0770321
Novosibirsk	0.0770236
Irbil	0.0769893
Uvira	0.0766636
Jaffna	0.0766032
Quetta	0.0764896
Bailundo	0.0759145
Kilinochchi	0.0751035
Baidoa	0.0749362
Yekaterinburg	0.074863
Kuito	0.0744561
Brcko	0.0743842
"Iglim Al-Toffah"	0.0742415
Lubumbashi	0.0740843
"Novi Sad"	0.0733375
PEC	0.0726516
Jayapura	0.072164
Marjayoun	0.0718003
Badme	0.0707983
Goma	0.070435
Macoris	0.0704281
Kisangani	0.0695254
"San Pedro Sula"	0.069126
Suva	0.0689898
Mazar-e-Sharif	0.0687065
Kismaio	0.068634
Ismailia	0.0684093
Djakovica	0.0678661
Vlore	0.0677573
Limassol	0.0675958
Vavuniya	0.0675216
Puebla	0.0669723
Tachilek	0.0666112
"Abu Dis"	0.0663284
Bekaa	0.0661878
Khulna	0.0661348
Bissau	0.0658887
Gulu	0.065638
Huambo	0.0655932
Rafah	0.0652416
Srbica	0.0651978
NIS	0.0651192
Nakuru	0.0646202
Buldon	0.0645574
Andulo	0.0644854
Omagh	0.0644284
Jericho	0.0643896
Ashkelon	0.0642507
Mosul	0.0640928
Chamonix	0.0640353
Makhachkala	0.0640123
Mazar-i-Sharif	0.0637317
Adana	0.0632205
Astana	0.0631902
Sihanoukville	0.0626287
"Ciudad Juarez"	0.062426
Arua	0.062312
Dundalk	0.0620142
Lijiang	0.0614864
Nablus	0.0611742
Ibadan	0.0610027
Ensenada	0.060981
Haifa	0.0606208
Kisumu	0.060559
"Mazari Sharif"	0.0605228
Najaf	0.0602343
Mostar	0.0602207
Murmansk	0.059221
Ambon	0.0589048
"Anlong Veng"	0.0588522
Charikar	0.0586132
Saida	0.0585838
Kalemie	0.058202
Ballymoney	0.0581408
Mitrovica	0.0579771
Baotou	0.0578333
Kukes	0.0574569
Podujevo	0.0571344
Pancevo	0.0570796
Drenica	0.0570425
Sidon	0.0567829
Bangui	0.0566652
Moshi	0.0566344
Jenin	0.0566023
Haicheng	0.0564038
Waterville	0.055736
Merida	0.0549962
Bulawayo	0.0547385
Kaduna	0.0547086
Ramallah	0.0546414
Larnaca	0.054616
Dagestan	0.0545252
highland	0.0545094
Ingushetia	0.0543984
Suez	0.0543404
Atambua	0.0542208
Gisenyi	0.054165
"Kosovo Polje"	0.0541284
Durres	0.0538796
Hebron	0.0537858
stronghold	0.0531607
Davao	0.0529308
Baoding	0.0527358
Rawalpindi	0.0524657
lowland	0.0524501
Wenzhou	0.0523667
Manado	0.0523476
"Del Rio"	0.052306
"Mount Pleasant"	0.052295
Nazareth	0.052178
Ur	0.0521315
Kabul	0.0517014
Guayaquil	0.0515945
Hyderabad	0.05155
Portadown	0.0513458
Multan	0.0512883
Piedmont	0.0511762
Kraljevo	0.0511556
Basra	0.0510018
Tuzla	0.0508695
Sylhet	0.0508037
Khost	0.0505046
Kasese	0.050392
Chittagong	0.050267
Freetown	0.0502666
Sochi	0.0502356
Tapachula	0.0500436
Vitoria	0.0500184
Talipao	0.0498243
Prijedor	0.0498081
Izmir	0.0495098
Bengkulu	0.0494246
"Eastern Province"	0.0493073
"SIERRA BLANCA"	0.0492814
gorge	0.0492564
Zhangjiakou	0.049232
Yichang	0.048828
Kismayu	0.0487237
Yerevan	0.0487089
Cacak	0.0486585
Casas	0.0485645
Dili	0.0483724
"North Caucasus"	0.0481726
COLOMBO	0.0479373
"Columbia River"	0.0476688
"Jaffna Peninsula"	0.0476683
Bethlehem	0.0476494
Ceyhan	0.0474311
Datong	0.0473365
"mountain range"	0.047205
"Port Elizabeth"	0.0471064
Dubrovnik	0.0470539
Paphos	0.0470434
Galle	0.0468115
))
(ARI (desc 1207.91) (sims
Mehmet	0.132192
Nikitin	0.113308
Baumhammers	0.101457
Kiareldeen	0.0993298
"El Hage"	0.0967276
Cavallo	0.0963122
"Russell Peeler"	0.0920194
Hofer	0.0916468
Soliah	0.0869831
Lacresha	0.0863115
Trantino	0.0852691
Demjanjuk	0.0846018
Swango	0.0823241
Eappens	0.0817685
Xue	0.0785456
Elhage	0.0782623
Stayner	0.0773093
Kodikian	0.0766665
Sebaggala	0.0742597
Zarkin	0.0740821
Harris-Lewis	0.0737718
Faulder	0.0734139
Shayler	0.0729165
Jian	0.0715188
Hage	0.0715053
Haouari	0.0708365
Meskini	0.0707544
Menuhin	0.0703591
Mattysse	0.0692879
"Paula Corbin Jones"	0.0691757
Klemperer	0.0690978
Kalejs	0.0688653
Hamid	0.0674446
Whitacre	0.0669886
Bedell	0.0666419
Papon	0.0664653
Moxley	0.0654922
Lileikis	0.0652132
Siripongs	0.0650038
Kenna	0.0650016
Riady	0.0649034
Meston	0.0644102
Kovacevic	0.0641159
Mapes	0.0637617
Paulina	0.0632327
Fagan	0.0631638
Shandling	0.0624814
Winchell	0.0623652
Kimeses	0.0621556
Neulander	0.0620508
Tran	0.0619821
ippon	0.0611613
Mikhailov	0.0611093
McGinn	0.0608847
Kurtz	0.0608821
Ntakirutimana	0.06074
Nguyen	0.0607387
Berenson	0.0606039
LeFave	0.0605501
Hinckley	0.060511
Echegaray	0.0603007
Boesak	0.060156
deportee	0.0599629
non-whites	0.0597647
Christy	0.0586251
Bove	0.0582622
Agca	0.058248
peeler	0.0581165
"Louise Woodward"	0.0580555
Chung	0.0579369
Tarver	0.0578749
Gauthe	0.0577668
Lyman	0.0577135
Yoo	0.057685
Skakel	0.0574231
Priebke	0.0573799
"Royal Shakespeare Company"	0.0572691
"Ruiz Massieu"	0.0569554
"Michael Skakel"	0.0568864
Coe	0.0565456
Ingush	0.0562155
Boehner	0.0560393
Tomba	0.0557429
furrow	0.0557386
Lipponen	0.0556601
Goff	0.0556529
Weston	0.0552049
Edelstein	0.0551744
Hugo	0.0548619
Jenoff	0.0548337
Searle	0.0548246
Imperatori	0.0547616
Karr	0.0547051
Abu-Jamal	0.0544665
Jewell	0.0544234
Hagen	0.0543083
Sheinbein	0.0538743
Grossberg	0.0538242
Maradona	0.0536523
Crocker	0.0535859
Karbaschi	0.053567
Avila	0.0531843
Khrushchev	0.053111
Reimer	0.0530649
Giacchetto	0.0530175
Donahue	0.0529786
Fassett	0.0528803
Kurd	0.0528705
Kono	0.0528097
Spector	0.052786
Gravano	0.052758
Einhorn	0.0525215
AUM	0.0524976
Narayanan	0.0524096
Francois	0.0523609
Moceanu	0.0522868
McWilliams	0.0520885
Ruhengeri	0.0520791
Manbar	0.0519912
Khalil	0.0516023
Shulman	0.0515284
Samara	0.0513078
Bao	0.0512138
"blue angel"	0.0509849
Sweeting	0.0508091
Blackthorne	0.0507775
Katzenberg	0.0505971
Ramseys	0.0505386
Rau	0.0503848
Collymore	0.0503266
Yashin	0.0501897
Kurdistan	0.0500866
Garofalo	0.050075
Haney	0.0500583
McVeigh	0.0499278
Capano	0.0492479
Brownlee	0.0491108
Mohamed	0.0490914
"Paula Jones"	0.0489908
Kazhegeldin	0.0489163
Ng	0.0488194
Spenser	0.0487043
JonBenet	0.0484875
Schmitz	0.0483965
Sang	0.0482924
"one of the boys"	0.0482718
Astacio	0.0482392
cattlemen	0.0482188
Soares	0.0482039
Cremins	0.0480424
Kinkel	0.0480342
Mercurio	0.0480332
Kurth	0.0480291
Arizmendi	0.0479553
Pagones	0.0478433
Tevanian	0.0476143
Gritz	0.0475582
Oviedo	0.0475497
Rostock	0.0475061
Caray	0.0474992
twenty-two	0.047444
Binion	0.0473394
Espinoza	0.047257
Slatkin	0.0471201
"VfB Stuttgart"	0.0471083
Namath	0.047048
Fortier	0.0470321
Gaines	0.0468703
Falater	0.046801
Montiel	0.0467133
Underwood	0.0467088
Odeh	0.0466898
"Cary Stayner"	0.0466656
Kehoe	0.0466081
Damm	0.0465797
Ciampi	0.0465367
"Ray Lewis"	0.0464821
"Partizan Belgrade"	0.0462693
Wong	0.0461966
hale	0.0461767
Kohn	0.046141
McAuliffe	0.04611
Bautista	0.0460433
Webber	0.045965
Nathaniel	0.0458864
Slaney	0.0458479
Ghani	0.045836
"gas company"	0.0458326
Livoti	0.045831
Montalvo	0.0457892
Luong	0.0457191
electability	0.0456406
Klima	0.0456406
Gannon	0.0455915
"Maturino Resendiz"	0.045575
Ntuyahaga	0.0455182
Cepeda	0.045384
Anand	0.0453522
dale	0.0453446
Rodrigo	0.045344
))
(Aria (desc 13372) (sims
recitative	0.110897
duet	0.109424
"folk song"	0.108909
cantata	0.104366
"piece of music"	0.0958561
opera	0.0957399
melody	0.0936014
Song	0.0932694
oratorio	0.0860079
ballad	0.085072
Lullaby	0.0848204
tune	0.0846654
ditty	0.0844383
poem	0.0832683
symphony	0.0822803
solo	0.0812548
hymn	0.0781418
concerto	0.0763567
chorus	0.0751309
verse	0.0750524
libretto	0.0749536
"string quartet"	0.0744483
Otello	0.0732002
sonata	0.0730244
Turandot	0.0726239
Requiem	0.0716532
soliloquy	0.0711826
"Amazing Grace"	0.0701442
skit	0.0697682
tenor	0.0685538
stanza	0.0677325
lyric	0.0667955
"theme song"	0.0665741
Tosca	0.0663556
"Christmas carol"	0.0661623
baritone	0.0657257
monologue	0.0656217
"Peony Pavilion"	0.0648766
poetry	0.0641731
mezzo-soprano	0.0639716
"Star-Spangled Banner"	0.0629448
operetta	0.0629
"musical score"	0.0622606
soprano	0.0615694
lament	0.0610997
ballet	0.0605748
recital	0.0605224
jingle	0.059993
sonnet	0.0594438
"national anthem"	0.0586269
repertory	0.0582422
spiritual	0.057774
Chorale	0.0577226
waltz	0.0576573
singing	0.0576152
anthem	0.0575614
masterpiece	0.0574666
soloist	0.0573323
quartet	0.0570025
"chamber music"	0.0568883
Recording	0.0567384
fugue	0.0549563
sequence	0.0547762
Porgy	0.0547629
"Don Giovanni"	0.0541198
rhyme	0.0539239
"pas de deux"	0.0536216
"set piece"	0.0535487
excerpt	0.0535161
rendition	0.0533993
syllable	0.0533627
"LA BOHEME"	0.0533289
ensemble	0.0526356
Figaro	0.0524458
"Luciano Pavarotti"	0.0524124
"folk dance"	0.0520193
riff	0.0517047
"Lord's Prayer"	0.0515067
showpiece	0.0514186
refrain	0.0513981
sketch	0.0513923
composition	0.0513907
singer	0.0512143
choreography	0.051104
Sax	0.0510651
phrase	0.0509926
vocals	0.0508719
Carol	0.0505755
dirge	0.0505152
Aida	0.0504972
orchestra	0.0503806
overture	0.0502655
drama	0.0501209
narration	0.0499777
eulogy	0.0497597
vignette	0.0496638
cameo	0.0496421
cellist	0.0495128
violinist	0.0492537
bolero	0.0486163
interlude	0.0480108
psalm	0.0479052
composer	0.047863
acrobatics	0.047392
"folk music"	0.047283
sermon	0.0470574
pianist	0.0469144
choir	0.04643
anecdote	0.0463677
"classical music"	0.0463001
instrumental	0.0460812
"inaugural address"	0.0459816
essay	0.045899
saxophone	0.0456743
repertoire	0.0456378
Faust	0.0452573
"title role"	0.0450524
narrative	0.0445856
Tristan	0.0439774
script	0.0435494
Rhapsody	0.0434728
snippet	0.0434081
dancing	0.0433121
"Fifth Symphony"	0.0431211
spiel	0.0428192
cinematography	0.04277
oration	0.0426962
"short story"	0.042693
soundtrack	0.0422063
Mozart	0.0421025
"dance music"	0.0419386
epic	0.0418842
salutation	0.0417376
"love letter"	0.0413892
"Marco Polo"	0.0412629
chord	0.0410831
"Hail Mary"	0.0410101
litany	0.0409641
Ode	0.0409539
expletive	0.0408555
"Symphony No. @"	0.0408271
quintet	0.0407947
prayer	0.0407637
"break of serve"	0.0407227
guitar	0.0405841
"Peking Opera"	0.0405254
Carmen	0.0403963
shtick	0.0403657
"family name"	0.0403141
musician	0.0403003
costume	0.040249
"curtain call"	0.040091
troupe	0.0400747
))
(Arianespace (desc 1327.61) (sims
"Airbus Industrie"	0.129625
Elf-Aquitaine	0.125388
"Media Partners"	0.110272
KEDO	0.0978583
Denel	0.0956219
"International Finance Corporation"	0.0956026
"Congressional Research Service"	0.0937262
TVKO	0.0918543
Aerospatiale	0.089262
SNCF	0.0878866
Airbus	0.0867364
"National Research Council"	0.0854797
"National Republican Congressional Committee"	0.0837984
"Thomson CSF"	0.0815674
Totalfina	0.0812208
Eskom	0.0787468
AXA	0.0781012
IFC	0.0779148
Media-MOST	0.0775174
"National Highway Traffic Safety Administration"	0.0771783
"GE Capital"	0.0764071
IAI	0.0736361
"Mitsubishi Motors"	0.0715481
"broadcasting company"	0.0715265
"Israeli Foreign Ministry"	0.0714145
Pertamina	0.0711061
"Operation Lifeline Sudan"	0.0710372
Dasa	0.0709448
"Independence Party"	0.0699995
CIRC	0.0699613
Pustovoitenko	0.0695967
Caritas	0.0694692
"Hongkong Telecom"	0.0688602
Intelsat	0.0687797
"De Beers"	0.0684293
Aventis	0.067792
BSA	0.067399
MiniMed	0.0673692
"Sdn Bhd"	0.0671631
Wada	0.0667828
BSKyB	0.0667255
Genzyme	0.0665298
"Fannie Mae"	0.0663327
Globalstar	0.0660798
Novartis	0.0659897
WFP	0.0658653
"Sea Launch"	0.0648759
"Total Fina"	0.06416
IEA	0.0640961
YankeeNets	0.0637984
NTL	0.0637243
SAirGroup	0.0636752
DoubleClick	0.0636692
"International Development Association"	0.0635276
DirecTV	0.0634507
ExciteAtHome	0.0633429
"Pipeline Safety"	0.0632945
CCF	0.0632844
"League of Conservation Voters"	0.0627625
"EU Commission"	0.0626364
iTV	0.0626165
"Freddie Mac"	0.0623975
Alcatel	0.0623466
"Health Care Financing Administration"	0.0622939
semicolon	0.0620338
Google	0.0615673
Carrefour	0.0615006
"Aerospatiale Matra"	0.0611475
Livent	0.0608084
"Public Security Ministry"	0.0604147
ABB	0.0602589
Ltd.	0.0600337
Corel	0.0593791
"Culture Ministry"	0.0592721
LIFFE	0.0592191
Eni	0.0589406
EMC	0.0587182
EOHR	0.0586479
Vivendi	0.0585187
Mabetex	0.0584073
MII	0.0583829
KPA	0.0583127
RealNetworks	0.0582881
Ericsson	0.0582535
"Defense Agency"	0.0581038
"Home Ministry"	0.058085
"Universal Music Group"	0.0579995
Transmeta	0.05794
Telmex	0.0576444
"North Atlantic Council"	0.05755
bombardier	0.0573831
carmakers	0.0573365
"Hyundai Group"	0.0573108
"Intelligence Ministry"	0.057083
"Health and Welfare Ministry"	0.0570204
Dele	0.0567679
PLDT	0.056757
"Salt Lake Organizing Committee"	0.056704
Seagate	0.056169
Instinet	0.0561238
Checkfree	0.0559969
"USA Basketball"	0.0558893
Gazprom	0.0557843
BSF	0.0556744
"General Accounting Office"	0.0556222
CAAC	0.0556169
CMGI	0.0555598
MI@	0.0554873
aerospace	0.0554653
McKesson	0.0553233
DHL	0.0552626
TIAA-CREF	0.0551708
"bus company"	0.0550128
Duracell	0.0549033
Nepa	0.0548695
"Institute of Medicine"	0.0547925
"Advanced Micro"	0.0546575
LVMH	0.054561
"Vivendi SA"	0.0544815
"Malaysia Airlines"	0.0544263
Oxfam	0.0544071
"Network Solutions"	0.054383
CNOOC	0.0542898
Tat	0.0542522
Emulex	0.0541839
Unilever	0.0541162
Gitic	0.0540224
"futures exchange"	0.0539539
Constantinescu	0.0539129
"Toyota Motor Corp."	0.0538395
L'Equipe	0.0537855
Enron	0.0537418
NIC	0.0537204
"ELF AQUITAINE"	0.0536763
Lagardere	0.0536557
Sputnik	0.0535228
PBSI	0.0534374
Dragonair	0.0533895
"Public Service Commission"	0.0533497
ENTERGY	0.0533431
TDB	0.0532596
BNFL	0.0532494
CNPC	0.0532467
MKO	0.053217
Bertelsmann	0.0532074
"Vanguard Group"	0.0531998
Sibneft	0.0531917
PETROBRAS	0.0528045
"Disease Control"	0.0527738
"Atlantic Richfield"	0.0527604
MBNA	0.0527201
Directorate	0.0526486
Eurostat	0.0524871
Kraus	0.0524583
"Indonesian Armed Forces"	0.0524402
BASF	0.0524117
"Gannett Co."	0.0523611
SAFY	0.0523559
"Investors Service"	0.0522706
"Christine Arron"	0.0522471
sensing	0.0522406
OSHA	0.0518558
Echostar	0.0517489
NTRA	0.0516053
Teledesic	0.0516026
"antitrust regulator"	0.0515999
UNAMET	0.0515618
Arab-Americans	0.0515365
"El Pais"	0.0515004
"CMGI Inc."	0.0513564
SSB	0.0513509
Northpoint	0.0513429
UBS	0.0512764
VICKERS	0.0512423
"Canal Plus"	0.0512411
"Kenyan Government"	0.0512212
"Pacific Century Cyberworks"	0.051183
"Price Waterhouse"	0.0511282
"Pitney Bowes"	0.0511182
"Koch Industries"	0.0510161
Marketspan	0.0509774
"Islamic Jihad"	0.0508786
Loral	0.0508282
Uunet	0.0507847
Alcantara	0.0507755
LRA	0.050755
"Voter News Service"	0.0507536
SPP	0.0506127
"Siemens AG"	0.0505842
CitySearch	0.050566
"International Rescue Committee"	0.0505556
Lg	0.0505405
"France Telecom"	0.0504653
Verizon	0.0504551
"Brown &AMP; Williamson"	0.0503853
"Thermo Electron"	0.0503391
"Ford Motor Company"	0.050329
"Aetna Inc."	0.0502909
Opel	0.0502828
"Hong Kong Telecom"	0.0501494
))
("Arianna Huffington" (desc 2361.15) (sims
"George Will"	0.199265
"William Kristol"	0.142612
"Patrick J. Buchanan"	0.138341
"Patrick Buchanan"	0.114523
"Mike Barnicle"	0.113099
"Patricia Smith"	0.106296
"Pat Buchanan"	0.100621
"Rush Limbaugh"	0.100457
"George Stephanopoulos"	0.0972984
"Dick Morris"	0.0936158
"William Bennett"	0.0869216
"David Irving"	0.0832151
"Alan Keyes"	0.0813457
"Xu Wenli"	0.0771129
editorialist	0.0714123
"Joe Murray"	0.0698507
"Weekly Standard"	0.0690994
"Gary Bauer"	0.0687173
"Frank Rich"	0.0678028
"Dennis Miller"	0.0665751
"Al Franken"	0.0662906
"Dee Dee"	0.0629082
Huffington	0.0626483
"Anthony Lewis"	0.0625768
"William Safire"	0.0621485
"Bob Herbert"	0.0598423
cartoonist	0.0594868
"William Styron"	0.0593207
"Linda Smith"	0.0589668
"Gail Collins"	0.0578888
"Mary Matalin"	0.0576041
"Ken Saro-Wiwa"	0.0555371
pundit	0.0529353
"Mike Huckabee"	0.0525963
"Susan Molinari"	0.052546
Wilhelm	0.0504715
"John Hall"	0.0501723
"Lu Xun"	0.050134
"Pat Summerall"	0.0491275
"Dan Schnur"	0.0489926
plotter	0.0489742
Hitchens	0.0487263
"David Byrne"	0.0485743
Osborne	0.0483337
"Guy Millner"	0.0480285
Noonan	0.0477123
"Matt Drudge"	0.047373
"David Remnick"	0.0471674
Pyle	0.0467998
"Frank Joklik"	0.0464646
"Bill Walton"	0.045917
"Maureen Dowd"	0.0453064
"Rod Grams"	0.0449311
cognoscenti	0.0446741
"League of Women Voters"	0.0443825
"Karl Rove"	0.0441696
"Rick Perry"	0.0438108
"Doc Rivers"	0.0436916
"Robert Bork"	0.0431774
snakehead	0.0426763
"United Liberal Democrats"	0.042456
"Bill Moyers"	0.0424236
"Southeastern Legal Foundation"	0.0420632
"Wole Soyinka"	0.0418569
"Margaret Thatcher"	0.0412509
"Frank Luntz"	0.0407961
"Phil Gramm"	0.0406231
McAuliffe	0.0404798
PITTS	0.0402362
"Cokie Roberts"	0.0400419
))
(Arias (desc 3433.92) (sims
Diouf	0.097671
Monson	0.0951675
Heinrichs	0.0948674
Brundtland	0.0946002
Hodges	0.0937224
Gimelstob	0.093607
Solis	0.092197
Cowan	0.0914743
Nader	0.0889418
Prewitt	0.0888084
Sakakibara	0.0885335
Kostunica	0.087789
Giambi	0.086757
Lipponen	0.0866754
Atler	0.0863976
Daley	0.0862989
Schmid	0.0856947
Chavalit	0.0856878
Madrazo	0.0855677
silber	0.0849571
Dunston	0.0847654
Summitt	0.0847193
Ruehe	0.0844365
Advani	0.0840562
Gogel	0.0838544
Ashcroft	0.0829612
Ramirez	0.0828698
Salazar	0.0825528
Carnahan	0.0825059
McCurry	0.082308
Beazley	0.0818792
Meles	0.0818325
Donohue	0.0814698
Grudzielanek	0.0814167
Verney	0.0810033
Cowens	0.0809555
Pastrana	0.0809047
Bergeron	0.0808566
Mauro	0.0805744
Popovich	0.0805642
Klima	0.0805186
Lafontaine	0.0804011
Bragman	0.0803101
Blatter	0.0801782
Ruggiero	0.0800212
Spiers	0.080006
Shipley	0.0799933
Nazarbayev	0.0799338
Richards	0.0798871
Tudjman	0.0797983
Fleischer	0.0797881
Piot	0.079633
Leavitt	0.0792751
Sergeyev	0.0790661
Hoffa	0.078981
Fernandez	0.0787075
Zadornov	0.0786247
Mallon	0.0786238
Kasyanov	0.0786188
Mugabe	0.0786147
Carey	0.078379
Zuma	0.0783314
Lafleur	0.0782886
Chavez	0.0782133
Tian	0.0780042
Mkapa	0.0779206
Ortiz	0.0776012
Ammiano	0.0775445
Johansson	0.0774965
Bowers	0.0774881
Kearin	0.0773279
Taft	0.0769429
Solana	0.076838
Qiao	0.0767049
Stoyanov	0.0766642
Rojas	0.076574
Zyuganov	0.0764879
Ripken	0.0764084
Hartsburg	0.076393
Jovanovic	0.0763158
Bartlett	0.0763068
Bolger	0.0762125
Labastida	0.0760853
Huskey	0.0760331
Hagelin	0.0758552
Shahak	0.0758257
Salas	0.0757969
Dini	0.0756526
Saunders	0.0755161
Surin	0.0752815
Hyman	0.0751286
Crenshaw	0.075109
Qu	0.0750666
Biffle	0.0749571
Mora	0.0748615
Florio	0.0744661
"de Charette"	0.0743718
Bowden	0.0743247
Mcbride	0.0742397
Weiss	0.0741693
Giles	0.0741502
Malu	0.0741221
Soong	0.0740934
Alatas	0.0740898
Milutinovic	0.0739624
Ouattara	0.0737363
beamer	0.0736861
ISSEL	0.0736637
Strauss-Kahn	0.0735028
Herron	0.0734731
Ahern	0.0734338
Gephardt	0.0732632
"Warren Morris"	0.0731461
Grasso	0.0731055
Berenson	0.0730803
Murayama	0.073064
Megawati	0.0729889
Peres	0.0729008
Meissner	0.0728659
Goldin	0.0728522
Tobin	0.0726885
Torricelli	0.0726461
Surhoff	0.0725366
Qian	0.0724915
Cummings	0.072476
Davies	0.0723772
Kaye	0.0723313
Rahman	0.0720662
Insulza	0.0720577
Hume	0.0720365
Finkel	0.0720111
Engler	0.0719721
Lau	0.0717494
Harmoko	0.071726
Okada	0.0716591
Manuel	0.0716036
Ogata	0.0715868
Kasoulides	0.0715343
Brister	0.0714875
Ramos	0.0713914
Flanagan	0.0712898
Alarcon	0.0712581
Andreychuk	0.0712409
hodgson	0.0712352
Menem	0.0712104
Ainge	0.0711484
Draskovic	0.0711055
Troussier	0.0710694
Estrada	0.0710622
Sponeck	0.0709779
Kennard	0.0709549
Djukanovic	0.07095
Poole	0.0709425
Sheehan	0.0709339
Buyoya	0.0707677
Ruiz	0.0707603
Soldini	0.0707598
Padilla	0.0707467
Brogna	0.0707417
Boehner	0.0706409
Rais	0.0705337
Medvedev	0.0705196
Torres	0.0704873
Shi	0.0703978
Bouchard	0.070382
Trammell	0.0703047
Rubenstein	0.0702801
Haider	0.0702795
Armey	0.0702627
Alfonzo	0.0702033
Wilson	0.0701967
Laudrup	0.0701638
Tomey	0.070163
Hu	0.0701357
"Mark Kotsay"	0.0701212
Camdessus	0.0700574
McGowan	0.0700564
Edberg	0.0700306
Blount	0.0699797
Canseco	0.0699546
Nadler	0.0698807
Lyons	0.0698783
Schuessel	0.0698326
Gullikson	0.0697943
Jayakumar	0.0697638
Lukashenko	0.069754
LU	0.0697292
Gustafsson	0.0697258
wen	0.0696573
Maskhadov	0.0696156
Obasanjo	0.0695987
Kharrazi	0.0695763
Quayle	0.0695672
Huber	0.0694855
Dukakis	0.0694592
Dosedel	0.0694075
Paxon	0.0693024
Mercado	0.069276
Wolfson	0.0692727
Izetbegovic	0.0692106
))
("Arie Luyendyk" (desc 1986.09) (sims
"Eddie Cheever"	0.359757
"Kenny Brack"	0.282063
"Billy Boat"	0.277338
"Greg Ray"	0.272207
"Buddy Lazier"	0.263203
"Bobby Rahal"	0.225928
"Al Unser Jr."	0.191696
Luyendyk	0.190867
"Alex Zanardi"	0.170951
"A.J Foyt"	0.168624
"Juan Montoya"	0.168272
"Ernie Irvan"	0.167989
"Miguel Indurain"	0.167145
"Kenny Irwin"	0.159171
"Sam Schmidt"	0.155658
"Tony Stewart"	0.155404
"Scott Goodyear"	0.155006
"Scott Sharp"	0.154442
"Bobby Labonte"	0.149725
"Michael Andretti"	0.142045
"Ken Schrader"	0.134729
"Mario Andretti"	0.132607
"Darrell Waltrip"	0.131923
"Ricky Craven"	0.130669
"Dale Jarrett"	0.130449
"Dario Franchitti"	0.129249
Foyt	0.127442
"Jeff Gordon"	0.126859
"Ricky Rudd"	0.123839
Musashimaru	0.122906
"Jimmy Vasser"	0.122575
"Jeff Ward"	0.121097
"Dale Earnhardt Jr."	0.113918
Andretti	0.106221
"Rusty Wallace"	0.104703
Herta	0.102288
"Bill Elliott"	0.101007
"Mark Martin"	0.0979519
"Zoran Primorac"	0.0973037
"Jeff King"	0.0969967
"Bryan Herta"	0.0969322
"HANK KUEHNE"	0.0962287
Cheever	0.0961579
"Chris Boardman"	0.0961495
"Paul Tergat"	0.0942002
"Alberto Tomba"	0.0938197
Takanonami	0.0937858
"Damon Hill"	0.0921713
"Thomas Stangassinger"	0.0920431
"Scott Pruett"	0.0916249
"Mike Skinner"	0.0913691
"Joe Nemechek"	0.0910774
"Derrick Adkins"	0.0907445
"Li Xuemei"	0.0904644
"Sergi Bruguera"	0.0899259
"Lasse Kjus"	0.0897901
Bruguera	0.0896143
Wakanohana	0.0890922
"Ward Burton"	0.0887895
"Dale Earnhardt"	0.0886591
Zanardi	0.0884745
"Terry Labonte"	0.0882717
"Steve Park"	0.0880304
"Gil Morgan"	0.0873174
Tanui	0.0871159
"Michael Weiss"	0.0868914
"Greg Moore"	0.0866043
"Irina Slutskaya"	0.0864432
"Isolde Kostner"	0.0851577
"Fu Mingxia"	0.0850416
"Jeff Burton"	0.0849446
"Moses Tanui"	0.0840018
"Picabo Street"	0.0837868
"Kyle Petty"	0.0836445
Sainz	0.0834978
"Doug Walker"	0.0826299
"Marco Pantani"	0.0816909
"Colin McRae"	0.0812995
"Bernhard Langer"	0.0812168
"Favorite Trick"	0.0809954
"Answer Lively"	0.0803251
Irvan	0.0796158
Takanohana	0.0792824
Brack	0.0781092
"Lee Janzen"	0.0777227
"Jubilo Iwata"	0.0776731
"Jackie Joyner-Kersee"	0.0768192
"Bjarne Riis"	0.0767716
Franchitti	0.0767297
"Katja Seizinger"	0.0766694
Labonte	0.0751718
"Roy Jones Jr."	0.075013
"Kevin Lepage"	0.0748967
"Ji Xinpeng"	0.0744924
"Pavel Tonkov"	0.0744169
"Steve Elkington"	0.0741885
"Alex Zuelle"	0.0738201
Anees	0.0736427
"Earnhardt Jr."	0.0733465
"Kostya Tszyu"	0.0730881
"Lance Armstrong"	0.0729915
"Denis Pankratov"	0.072745
"Johnny Tapia"	0.0722741
"Michelle Smith"	0.0722043
"Johan Museeuw"	0.0721282
"Max Papis"	0.0720917
"Christine Arron"	0.0717899
"Seattle Slew"	0.0717867
"Seibu Lions"	0.0715346
"MIka Hakkinen"	0.0713777
"Frank Nobilo"	0.0712673
"Hale Irwin"	0.0711906
"Peter Rasmussen"	0.0708579
"Maria Butyrskaya"	0.0707378
"Annika Sorenstam"	0.0706686
"Rocco Mediate"	0.07065
"Jose Maria Olazabal"	0.0703577
"Robby Gordon"	0.0701614
"Dottie Pepper"	0.0701551
"Red Bullet"	0.0692685
"Larry Mize"	0.0688637
"Michael Doohan"	0.0686542
"Shanghai Shenhua"	0.0686247
"Fatuma Roba"	0.0682594
"John Andretti"	0.0681072
"Deon Hemmings"	0.0676812
"Nick Price"	0.0674852
"Richard Petty"	0.0671356
"War Chant"	0.0669012
"Paul Tracy"	0.0665731
"Pat Rafter"	0.0662122
"Oliver McCall"	0.066068
"Alexandra Meissnitzer"	0.0660035
"Anatoly Karpov"	0.065853
"Free House"	0.0658496
Irwin	0.0658202
"Bjorn Borg"	0.0656267
"Matt Kenseth"	0.0653679
"Tommi Makinen"	0.0653607
"Ernie Els"	0.065238
"Paulie Ayala"	0.0651256
Daylami	0.0650263
"Nick Faldo"	0.0648483
"Gail Devers"	0.0647934
Hentgen	0.064664
"Worldly Manner"	0.0646037
"Didier Auriol"	0.0643096
"Dong Jiong"	0.0642381
"Nick Zito"	0.0638743
"Deborah Compagnoni"	0.0638688
"Kimberlite Pipe"	0.0637621
"Jacques Villeneuve"	0.0637539
"Koji Ito"	0.0636743
Longo	0.0636597
"Audra McDonald"	0.0636208
"car race"	0.063559
Devers	0.0635415
"Mark O'Meara"	0.0635325
"Abraham Olano"	0.0634744
"Michael Schumacher"	0.0632652
"Pernilla Wiberg"	0.063254
Pippig	0.0630209
"Ivan Ivankov"	0.0629083
"Lee Hamilton"	0.0627812
"Olin Browne"	0.0627381
"Doak Walker"	0.0626858
"Wang Nan"	0.0626383
"Sterling Marlin"	0.062612
"Jansher Khan"	0.0624128
"Linford Christie"	0.0619217
Pantani	0.0615943
"Steffi Graf"	0.0615678
Villeneuve	0.061403
"Richard Hatch"	0.0611749
Behrens	0.0610878
"Elvis Stojko"	0.0608595
"Fernando Vargas"	0.0608411
"Geoffrey Bodine"	0.0608351
"Rodney Eyles"	0.0605362
"Davis Love III"	0.0603412
Tomba	0.0601701
Shuwei	0.0600829
"Erik Morales"	0.05974
"Christian Fittipaldi"	0.0595833
Skinner	0.0595821
beany	0.0593734
"Richard Burns"	0.0592912
"Arantxa Sanchez Vicario"	0.0592635
"Carlos Moya"	0.0592143
"Li Jiajun"	0.0591773
"Laurent Brochard"	0.0591733
"Matt Kuchar"	0.059149
"Kong Linghui"	0.0591359
"Marie-Jose Perec"	0.0589744
"Vijay Singh"	0.0584613
"Banshee Breeze"	0.0584525
"Svetlana Masterkova"	0.0583922
"Dat Nguyen"	0.0582578
"Poul-Erik Hoyer-Larsen"	0.0582265
"Fusaichi Pegasus"	0.0581397
))
(Ariel (desc 3497.87) (sims
Nablus	0.0726215
Chrissie	0.0687347
Jenin	0.063338
"Kosovo Polje"	0.0592277
Bridget	0.0562537
Bethlehem	0.05523
Amanda	0.0550168
Alexandra	0.0545149
Hebron	0.05329
Sasha	0.0486244
Berle	0.0478031
Emulex	0.0471192
Justin	0.0469197
"Har Homa"	0.0469028
Jill	0.0468128
Agilent	0.0467688
Bedell	0.046422
"Gap Inc."	0.0461387
Samantha	0.0449213
"MindSpring Enterprises"	0.0442089
"U.S. Trust"	0.0439737
Ciena	0.043864
Jamie	0.0431946
Irina	0.0429821
JonBenet	0.0429784
"International Business Machines Corp."	0.0428174
"Legend Group"	0.04281
Sarah	0.042763
"Le Bernardin"	0.0427087
Gillette	0.0421933
Nicole	0.0419342
Forrest	0.04192
Lori	0.041622
Katie	0.0413331
Amy	0.0411611
MiniMed	0.0410964
Wallingford	0.0406968
Gertrude	0.040649
Pamela	0.0406103
Pascal	0.0404166
Kyle	0.0403304
"Jordan Valley"	0.0400757
ALZA	0.0400089
))
("Ariel Ortega" (desc 3310.84) (sims
"Hernan Crespo"	0.3031
"Claudio Lopez"	0.28037
"Diego Simeone"	0.227137
"Hidetoshi Nakata"	0.201218
"Gheorghe Hagi"	0.200059
"Dejan Stankovic"	0.195745
"Robert Prosinecki"	0.181501
"Enrico Chiesa"	0.176861
"Zinedine Zidane"	0.171982
"Gabriel Batistuta"	0.16709
Edmundo	0.156718
"Dejan Savicevic"	0.156343
"Christian Vieri"	0.150414
"Mario Stanic"	0.145124
"Robert Jarni"	0.142541
"Zvonimir Boban"	0.14132
"Predrag Mijatovic"	0.140916
"George Weah"	0.140406
"Patrick Kluivert"	0.140402
"Luis Figo"	0.140249
"Faustino Asprilla"	0.139141
"Marcelo Salas"	0.137186
"Ivan Zamorano"	0.135956
"Carlos Valderrama"	0.134126
"Paul Ince"	0.133016
"Youri Djorkaeff"	0.132377
"David Beckham"	0.132248
"Michael Laudrup"	0.129558
"Khodadad Azizi"	0.127735
"Adrian Ilie"	0.127067
"Harry Kewell"	0.127011
"Dino Baggio"	0.12681
"Hao Haidong"	0.125879
Hagi	0.124245
"Emmanuel Petit"	0.122389
"Claudio Reyna"	0.122106
"Diego Maradona"	0.121974
"Robert Pires"	0.121883
"Sun Wen"	0.119885
"Phillip Cocu"	0.119643
"Christian Karembeu"	0.119175
"Roberto Baggio"	0.114589
"Clint Mathis"	0.113918
Sissi	0.113744
"Marco Etcheverry"	0.113333
"Davor Suker"	0.110566
"David Trezeguet"	0.110209
"Clarence Seedorf"	0.109502
"Ryan Giggs"	0.108417
"Sinisa Mihajlovic"	0.105665
"Ali Daei"	0.104614
"Luis Hernandez"	0.104029
"Dennis Bergkamp"	0.103982
Rivaldo	0.102875
"Tore Andre Flo"	0.102697
"Edgar Davids"	0.1017
"Paolo Di Canio"	0.101012
"Paul Scholes"	0.100984
"Tab Ramos"	0.100447
Zidane	0.100279
"Stan Collymore"	0.09983
"Hristo Stoichkov"	0.0982898
"Alen Boksic"	0.0978071
"Ian Wright"	0.0963146
"Robbie Fowler"	0.0955336
Denilson	0.0953676
"Mauricio Cienfuegos"	0.0949319
"Roy Keane"	0.0946662
"Fan Zhiyi"	0.0943171
"Brian Laudrup"	0.0935192
"Mauricio Ramos"	0.0933575
"Cobi Jones"	0.0927733
"John Collins"	0.0927634
Juninho	0.0919888
"Oliver Bierhoff"	0.0919812
"Nwankwo Kanu"	0.0914859
"Filippo Inzaghi"	0.0888446
Suker	0.0887008
"Michael Owen"	0.0882988
"Eric Cantona"	0.0877599
"Juergen Klinsmann"	0.0877308
"Nicolas Anelka"	0.0871859
"Dwight Yorke"	0.0862155
"Ronald de Boer"	0.0854958
"Andy Cole"	0.0854682
"Luigi Di Biagio"	0.0850363
"Velez Sarsfield"	0.084944
"Thomas Haessler"	0.0847125
"Ante Razov"	0.0838463
"Christophe Dugarry"	0.0835247
Bebeto	0.0831349
"Alan Shearer"	0.0828587
"Carlos Hermosillo"	0.0827311
"Steve McManaman"	0.0824374
"Eric Wynalda"	0.0824315
"Cindy Parlow"	0.0816354
"Fabrizio Ravanelli"	0.0815848
"Joe-Max Moore"	0.0815108
Djorkaeff	0.0813095
"Raul Gonzalez"	0.0810107
"Carlos Menem"	0.0809052
Welton	0.08047
"Alessandro Del Piero"	0.0804137
Romario	0.0793727
"Patrick Vieira"	0.0792773
"Didier Deschamps"	0.0785165
"Julie Foudy"	0.0774999
"Frankie Hejduk"	0.07668
Beckham	0.0759533
"Gianfranco Zola"	0.075689
Ronaldo	0.0739691
"Paul Gascoigne"	0.0737927
"Ole Gunnar Solskjaer"	0.0728805
"Ulf Kirsten"	0.0720441
"Paul Merson"	0.0718954
Leonardo	0.0716853
"Teddy Sheringham"	0.0713205
"Donyell Marshall"	0.0712283
"Boca Juniors"	0.0707695
"Leonel Alvarez"	0.0705383
"Marc Overmars"	0.0704175
"Michelle Akers"	0.0702888
Reyna	0.0702727
Kluivert	0.0699279
"Jorge Campos"	0.069488
"Tiffeny Milbrett"	0.069322
"Mia Hamm"	0.06926
"Thierry Henry"	0.0687103
Jair	0.0684055
"Andreas Moeller"	0.0680539
"Stern John"	0.0677655
Anelka	0.0674786
Bergkamp	0.0668662
"Raul Diaz Arce"	0.0668424
"Roy Lassiter"	0.0668093
Zico	0.0662097
"Michel Platini"	0.0641963
Ince	0.0640234
"Ben Olsen"	0.0636376
Valderrama	0.0634935
Batistuta	0.0632491
"River Plate"	0.0631813
"Kristine Lilly"	0.0629827
"Laurent Blanc"	0.0627595
"Brian McBride"	0.0622712
"Mariano Puerta"	0.0620703
"Cesar Sampaio"	0.0599692
"Lee Nailon"	0.0595465
Tella	0.0589455
"Gianluca Vialli"	0.0587658
"Lilian Thuram"	0.0586702
Baba	0.0585827
"Othella Harrington"	0.0585152
"Marcel Desailly"	0.0582062
Nailon	0.0581004
"Lothar Matthaeus"	0.0579283
"Ron Artest"	0.0577896
"Kirk Muller"	0.0576663
Stackhouse	0.0573929
"Chris Porter"	0.0573124
Alfonso	0.0569277
"Otis Thorpe"	0.0568566
"Darren Anderton"	0.0565579
"Corliss Williamson"	0.0565039
YPF	0.0564412
"Blake Sloan"	0.0563583
"Karim Abdul-Jabbar"	0.0562585
Ortega	0.0562073
"Hu Weidong"	0.0559469
"Wang Tao"	0.0558923
"Keith Tkachuk"	0.0557916
"Tamika Catchings"	0.0552832
"Dave Manson"	0.0552755
"Chris Gatling"	0.0552201
Baggio	0.0552154
Asprilla	0.0546995
"John Harkes"	0.0545657
"Jason Williams"	0.0545096
"Manny Fernandez"	0.0537012
"Di Canio"	0.0530961
"Dominique Wilkins"	0.0528372
"Roberto Carlos"	0.0528039
Dunga	0.0525089
"Jason Kapono"	0.0524925
"Brian Rolston"	0.0521326
"Ziggy Palffy"	0.0519081
Emerson	0.0516641
"Eric Lindros"	0.0515542
Nevin	0.0514386
Maradona	0.0510781
"Bobby Charlton"	0.0509081
"SCOTT BURRELL"	0.0507718
"Dan Petrescu"	0.0507238
"Joe Nieuwendyk"	0.0504812
"Van Roost"	0.0496686
"Franco Squillari"	0.0496423
"Lamond Murray"	0.0495014
"Eddie Lewis"	0.0494496
Daigle	0.0492415
Vieri	0.0492096
))
("Ariel Sharon" (desc 4687.84) (sims
"David Levy"	0.290337
"Joschka Fischer"	0.250931
"Igor Ivanov"	0.229856
"Yitzhak Mordechai"	0.229785
"Lamberto Dini"	0.226199
"Yossi Sarid"	0.222458
"Bizima Karaha"	0.219191
"Tang Jiaxuan"	0.211711
"Igor Sergeyev"	0.198777
"Mikulas Dzurinda"	0.193302
"Kamal Kharrazi"	0.18907
"Hubert Vedrine"	0.184553
"Abdullah Ahmad Badawi"	0.182322
"Sartaj Aziz"	0.17819
"Wolfgang Schuessel"	0.176217
"Natan Sharansky"	0.175124
"Ieng Sary"	0.174183
"Kim Jong-pil"	0.172508
"Jaswant Singh"	0.17086
"Klaus Kinkel"	0.169626
"Vuk Draskovic"	0.162355
Sharon	0.161462
"George Robertson"	0.160733
"Robin Cook"	0.159857
"Ismail Cem"	0.1596
"Chavalit Yongchaiyudh"	0.159543
"Alexander Shokhin"	0.15938
"Lokendra Bahadur Chand"	0.15908
"Aryeh Deri"	0.156218
"William Hague"	0.155064
"Kim Yong Nam"	0.154713
"Xanana Gusmao"	0.15353
"Oskar Lafontaine"	0.152435
"Yoshiro Mori"	0.149843
"Shimon Peres"	0.149838
"Yevgeny Primakov"	0.149562
"Atal Behari Vajpayee"	0.148002
"Kiichi Miyazawa"	0.147647
"Bashkim Fino"	0.146697
"Minister Shlomo Ben-Ami"	0.144954
"Mikhail Kasyanov"	0.144566
"Yuri Maslyukov"	0.143471
"Gulbuddin Hekmatyar"	0.143329
"Tansu Ciller"	0.141665
"Ivan Kostov"	0.141658
"Khaleda Zia"	0.13954
"Seamus Mallon"	0.137993
"H.D Deve Gowda"	0.136777
al-Sharaa	0.136772
"Hashim Thaci"	0.136382
"Ta Mok"	0.13592
"Yossi Beilin"	0.135766
"John Prescott"	0.134637
al-Shara	0.134484
"Necmettin Erbakan"	0.134012
"Chuan Leekpai"	0.133652
"Qian Qichen"	0.13362
"Amnuay Virawan"	0.133582
"Milos Zeman"	0.133563
"Yasser Arafat"	0.133198
"Dan Meridor"	0.1323
"Wolfgang Schaeuble"	0.132134
"Boris Nemtsov"	0.131909
"Jenny Shipley"	0.131463
"Bulent Ecevit"	0.130637
"Inder Kumar Gujral"	0.129347
"David Trimble"	0.128567
"Vaclav Klaus"	0.1285
"Foday Sankoh"	0.128108
"Benazir Bhutto"	0.127601
"Jonas Savimbi"	0.1275
"Amr Moussa"	0.126676
Al-Faisal	0.125911
Buthelezi	0.125874
"Pandeli Majko"	0.125775
"Gennady Zyuganov"	0.125772
"Faisal Husseini"	0.125665
"Aslan Maskhadov"	0.125281
"Martin McGuinness"	0.124491
"Vojislav Seselj"	0.124204
"Renato Ruggiero"	0.123925
"Helen Clark"	0.123906
"Mesut Yilmaz"	0.122599
"Joseph Bruno"	0.122228
"Begum Khaleda Zia"	0.122184
"Mike Moore"	0.122082
"Megawati Soekarnoputri"	0.121704
"Atal Bihari Vajpayee"	0.121518
"Joerg Haider"	0.120809
"Sonia Gandhi"	0.120672
Chand	0.119486
"Hanan Ashrawi"	0.118839
"Tariq Aziz"	0.117863
"Wlodzimierz Cimoszewicz"	0.117848
"Binyamin Netanyahu"	0.117604
"Lee Kuan Yew"	0.116831
"Ibrahim Rugova"	0.116729
"Alexander Lebed"	0.115661
"Abdulsalam Abubakar"	0.115574
"Martin Lee"	0.115416
"Gerry Adams"	0.115357
"Nabil Shaath"	0.114918
"Jerzy Buzek"	0.114714
"Bernard Kouchner"	0.114185
"Benjamin Netanyahu"	0.114035
"Khin Nyunt"	0.113932
"Hans Blix"	0.113841
"Goran Persson"	0.113459
"Roosevelt Johnson"	0.113267
"Amien Rais"	0.113222
"Sergei Stepashin"	0.112929
"John Bruton"	0.11239
"Nur Misuari"	0.112129
"Kim Jong Il"	0.11208
"Zoran Djindjic"	0.112074
"Salim Hoss"	0.111841
"Johnny Paul Koroma"	0.111474
"Keizo Obuchi"	0.111139
"Fayez Tarawneh"	0.110839
"Supachai Panitchpakdi"	0.110724
"Deve Gowda"	0.110684
Wiranto	0.109999
"Chea Sim"	0.109987
"Rashid Dostum"	0.109652
"Shi Guangsheng"	0.109313
"Yasser Abed Rabbo"	0.108464
"Ung Huot"	0.108109
"Viktor Chernomyrdin"	0.108056
"Haim Ramon"	0.107986
"George Speight"	0.107909
Wamba	0.107862
"Bertie Ahern"	0.107653
"Moammar Gadhafi"	0.107284
"Massimo D'Alema"	0.107097
"Sergei Kiriyenko"	0.106454
Al-Sabah	0.106304
"Than Shwe"	0.106057
"Grigory Yavlinsky"	0.105729
"George Mitchell"	0.105718
Primakov	0.105623
"Gro Harlem Brundtland"	0.104845
"I.K Gujral"	0.104371
"Oded Eran"	0.104222
"Bill Lann Lee"	0.104057
"Ehud Barak"	0.10403
"Chi Haotian"	0.103316
"Abdurrahman Wahid"	0.102969
Ecevit	0.102683
"Vo Van Kiet"	0.102615
al-Sahhaf	0.102574
"Tim Fischer"	0.102007
"Yukio Hatoyama"	0.101963
"Radovan Karadzic"	0.101478
"Saeb Erekat"	0.101042
"Ayatollah Ali Khamenei"	0.100958
"Anatoly Chubais"	0.100957
"Pervez Musharraf"	0.100543
Mordechai	0.10032
"Abu Mazen"	0.099938
"Jose Maria Aznar"	0.0999262
"Fatos Nano"	0.0997204
"Sher Bahadur Deuba"	0.0994767
"Romano Prodi"	0.0993916
Koirala	0.0992611
"John Howard"	0.0991367
"Li Zhaoxing"	0.0985159
"Vladimir Zhirinovsky"	0.0984316
"Peter Mandelson"	0.0981627
"Wim Kok"	0.0977799
"Richie Phillips"	0.0977194
Misuari	0.0973452
"Carl Bildt"	0.0970707
"Marzuki Darusman"	0.0969998
Ivanov	0.0967946
"Adem Demaci"	0.0967843
"Nikola Poplasen"	0.0966677
"Girija Prasad Koirala"	0.0963588
"Vladimir Putin"	0.0959956
"Thabo Mbeki"	0.0959575
"Ali Mahdi Mohamed"	0.0957078
"Eisuke Sakakibara"	0.0956185
"Abdul Karim Kabariti"	0.0953565
"Jean Chretien"	0.0951091
"Richard Gephardt"	0.0949282
"Meles Zenawi"	0.0946935
"Zhu Rongji"	0.0941552
Sharansky	0.0940849
"Tomiichi Murayama"	0.093975
Harmoko	0.0937817
"David Duke"	0.0934328
"Xie Zhenhua"	0.0933068
"Lionel Jospin"	0.0932795
el-Ganzouri	0.0932713
"Pascoal Mocumbi"	0.0932444
"John Major"	0.0931397
"Shamil Basayev"	0.0929723
"Daim Zainuddin"	0.0927874
"Norodom Ranariddh"	0.0925386
Ghalib	0.0924185
"John Hume"	0.0923055
))
(Aris (desc 724.681) (sims
Hamid	0.102707
NHTSA	0.0892859
Shurmur	0.0809752
Panathinaikos	0.0791345
O'Hair	0.0778774
"Red Star"	0.0761452
Radojevic	0.0730476
Millar	0.0713594
Stolle	0.0687518
videophone	0.0673361
Laudrup	0.0652066
"American Michael Chang"	0.0643442
Burroughs	0.0642062
Berasategui	0.0638435
Brandi	0.0638254
Shenhua	0.0630116
Neilson	0.0623694
"Fighting Irish"	0.0619313
AEK	0.0615202
Stroganoff	0.0611925
Bruguera	0.0611314
"International Badminton Federation"	0.060446
"Kim Perrot"	0.0602208
Preval	0.060024
KONI	0.0589211
Maureen	0.0585367
Castaneda	0.0585268
Wyeth	0.0580751
Fahd	0.0579789
Andrei	0.0574992
RAMBUS	0.0574426
Wilkerson	0.0571863
Rita	0.0571769
Narayanan	0.0566821
Udall	0.0561099
Olga	0.0561016
Keenan	0.0559546
Internet@	0.0557717
PAOK	0.0557477
Rao	0.0556438
"Los Angeles Unified"	0.0555143
"Madalyn Murray O'Hair"	0.0554689
Abbie	0.0553959
Andreas	0.0552079
Dosedel	0.0551788
Santoro	0.0549884
NSC	0.054967
Bedell	0.0548687
RCMP	0.0546314
McCombs	0.0544326
led	0.0544083
Phyllis	0.0543626
Pam	0.0540466
Goran	0.0538799
Andrea	0.053832
"Bobby Smith"	0.0537863
Perrot	0.0536449
Durwood	0.0535018
Northpoint	0.0528561
Vitoria	0.0525637
"Yankee Clipper"	0.0524134
Meligeni	0.0522756
Baez	0.0521759
Ataturk	0.0520219
Alexandra	0.0518751
Incyte	0.0518092
Brahimi	0.051795
Vogts	0.0517004
"Kinder Bologna"	0.0514768
Jansher	0.0514657
Ingalls	0.051451
Nana	0.0513036
Lawler	0.0512504
Christy	0.051197
Gaston	0.0511711
Meg	0.0511231
"Kenya Airways"	0.0510989
Lucic	0.0510811
Gritz	0.0509462
"Vancouver Canucks"	0.050803
Spartak	0.0505577
Otis	0.0503308
Likhovtseva	0.050313
Celta	0.0503096
Suzanne	0.0500211
Liz	0.0499489
Weah	0.04992
Marlene	0.0499072
Catalina	0.0498498
"Calgary Flames"	0.0498488
Sarazen	0.0498238
Henson	0.0498142
"Jerusalem Committee"	0.0497567
Plath	0.0497544
"ten thousand"	0.0497079
Prinosil	0.0496994
Denise	0.0495546
al-Saud	0.0495546
COSCO	0.0493023
Hamlin	0.0493011
Schieffer	0.0492347
Grachev	0.0491124
Gustafsson	0.0490374
Mustafa	0.0490181
Boca	0.0489177
Damm	0.0488742
BLUETOOTH	0.0488545
Pustovoitenko	0.0488271
Birnbaum	0.0487791
Brody	0.0487509
Monique	0.0485333
Dahmer	0.048501
Nano	0.0484171
AFA	0.0484112
Tarango	0.0483615
Christina	0.0483412
Edberg	0.0483335
Pickens	0.0480875
Heade	0.0480788
Theresa	0.0479787
"Gene Autry"	0.0479137
coastguard	0.0478749
Kurosawa	0.0478654
Nyerere	0.0478008
Humphrey	0.0477416
Tate	0.0476805
"Ajax Amsterdam"	0.047679
Dragomir	0.0475784
"Anaheim Mighty Ducks"	0.0475233
iXL	0.047521
"Pan Ams"	0.0475071
Yoon	0.0474607
Trudeau	0.0473343
"Texas Department of Public Safety"	0.0472524
Boueiz	0.0472475
Puzo	0.0471359
Hendrix	0.0470172
Landry	0.0469526
Clavet	0.0469272
TARPLEY	0.0469216
"Atlanta History Center"	0.0468946
Kauffman	0.0468916
PSG	0.0467751
Marulanda	0.0466559
Nicol	0.046607
Newsome	0.0465693
"Chinese Army"	0.0465419
Klemperer	0.0465188
Trantino	0.0465025
Zapruder	0.0464719
NAU	0.0463571
"good person"	0.0463362
"Windows Media Player"	0.0462779
Smithsonian	0.0462335
Gambill	0.0461487
Sheryl	0.0461244
Sandler	0.0461131
Biko	0.046113
Kimberly	0.0460518
"Pac Bell"	0.0460383
Paulina	0.0459888
Spielman	0.0459728
ICTR	0.0459555
Clare	0.0458098
Klestil	0.0457939
DoubleClick	0.0456688
Rosenborg	0.0455789
Advani	0.0455091
"Michael Kennedy"	0.0455076
Cedric	0.0453845
"Netherlands Antilles"	0.0453814
Webcam	0.0453494
Kaiserslautern	0.0452984
"United Nations Interim Force in Lebanon"	0.0452633
Grunow	0.045256
Huber	0.0452459
Tuvalu	0.0452099
Ilie	0.0450415
Eubanks	0.0449772
Osmond	0.0449669
Luxemburg	0.0449628
ANGELOS	0.0449575
Kasoulides	0.0448877
Sanan	0.044863
Jakob	0.0448357
"Western Union"	0.044789
"National Council"	0.0447013
Stoyanov	0.0446904
"Jacqueline Kennedy"	0.0446648
Canadiens	0.0446574
Copley	0.0446068
"Newcastle United"	0.0446057
Furcal	0.0445919
Wyly	0.0444276
McCartney	0.0444199
Haas	0.0443403
Fairbanks	0.0442737
Stoltenberg	0.0441783
"Guangzhou Apollo"	0.0441626
Sevilla	0.0441327
))
(Arista (desc 2322.98) (sims
Motown	0.123742
EMI	0.100639
RCA	0.0886519
"blue note"	0.0856848
UPI	0.0787148
MCA	0.078643
"high wire"	0.073693
NHRA	0.0717247
trapeze	0.0674604
ECW	0.0660189
BMG	0.064894
iXL	0.0645436
Massport	0.06387
Generali	0.0636664
PolyGram	0.062825
PBA	0.0625864
"Universal Music Group"	0.0619444
Biogen	0.0611763
"Miramax Films"	0.060599
CAA	0.0604375
"CBS Sports"	0.0601287
"Weight Watchers"	0.059815
WCW	0.059555
BofA	0.0594969
Beringer	0.0591516
WEF	0.0588954
CPAFFC	0.0586277
Philips	0.0584515
FPL	0.0578841
"International Management Group"	0.0577318
AOC	0.0575423
"American Red Cross"	0.0570556
Cablevision	0.057052
ADM	0.056995
AFI	0.0569421
"National Association of Broadcasters"	0.0563437
KPN	0.0563058
Collymore	0.055923
Gazprom	0.0556581
"Turner Sports"	0.0552913
"Sprint Corp."	0.0552193
DLC	0.0549975
"Cincinnati Bengals"	0.054844
All-Tech	0.0548345
Lucasfilm	0.0548189
UMNO	0.0545432
"USA Networks"	0.0545399
PLDT	0.0544994
PRIMESTAR	0.0544793
ATC	0.0544039
"Hendrick Motorsports"	0.0541546
CMGI	0.0536566
"trucking company"	0.0532631
"Park Place"	0.0532236
DreamWorks	0.0528679
Pertamina	0.0526412
CNPC	0.0525253
AIG	0.0525076
IAI	0.05239
CSE	0.0523315
oldies	0.052181
SDB	0.0521215
jive	0.0521104
"Koch Industries"	0.0520219
DoCoMo	0.0516972
adidas	0.0512355
Kron	0.051106
Pinkerton	0.0507587
"Pacific Century"	0.0503114
Ringling	0.0501064
TAZARA	0.0500641
"Kinder Bologna"	0.0499517
Kimbell	0.0499443
CUC	0.0497793
paramount	0.0493904
Travelocity	0.049262
"Motion Picture Association of America"	0.049058
"True North"	0.0489712
DirecTV	0.0487416
"America West"	0.0486222
Roberds	0.0486193
"Red Hot Chili Peppers"	0.0484809
"Defense Agency"	0.0484706
"Turner Broadcasting"	0.0484125
IMG	0.0481775
ICTR	0.0481148
"GE Capital"	0.0478958
"Warner Bros"	0.0475283
"Special Olympics"	0.0474185
MGM	0.0473724
"U.S. Soccer Federation"	0.047336
STARMEDIA	0.047255
"cable operator"	0.0472187
Fedex	0.0471836
"Gap Inc."	0.047171
"British Telecom"	0.0470959
REVLON	0.047053
ICA	0.047052
"Universal Studios"	0.0469091
ASO	0.0468814
McGraw-Hill	0.0467244
Lilith	0.0467201
BankAmerica	0.0465347
Google	0.0464727
"Universal Pictures"	0.046344
Overnite	0.0463413
SBA	0.0462958
Houdini	0.0460901
Pir	0.0460347
ritz	0.0460237
"New Covenant"	0.0459165
CNOOC	0.0458706
"Steve Austin"	0.0457876
"Beth Israel"	0.0457837
MPAA	0.0457025
Enquirer	0.0456349
SLOC	0.0456096
Norwest	0.0453354
"British Telecommunications"	0.0452769
CCE	0.0450869
CMA	0.0450126
LTCB	0.0450052
JAL	0.0449474
Bengals	0.0448521
UML	0.0448517
Eximbank	0.0448507
"HBO &AMP; Co."	0.0448474
Lukoil	0.0448382
"General Motors Corp."	0.0448167
tightrope	0.0447837
NCI	0.0446713
"Australian Olympic Committee"	0.0446306
"Blue Cross"	0.0446146
USTA	0.0445335
EBRD	0.0443924
BIA	0.0443633
"South African Airways"	0.0443253
"Washington Wizards"	0.0442785
"Beastie Boys"	0.0442658
SAA	0.0442504
Softbank	0.0442286
"McDonnell Douglas"	0.0441396
Ansett	0.0440424
"Pink Floyd"	0.0440394
Panasonic	0.0440201
"Time Inc."	0.0439631
"Georgia Power"	0.043928
Micron	0.0438925
"Warner Brothers"	0.0438127
PETROBRAS	0.043805
JetBlue	0.0437835
NCR	0.0437351
Livent	0.0435427
Mitsubishi	0.0434907
C-USA	0.0433848
Citigroup	0.0432907
IPU	0.0432659
"Pizza Hut"	0.0431271
Ge	0.0430918
Wyeth-Ayerst	0.0430121
BOC	0.0429988
Qwest	0.0429374
Paxson	0.0429346
"investment company"	0.0429273
UPC	0.0429168
Benex	0.0428279
"Milwaukee Bucks"	0.0426545
MindSpring	0.0426432
"J&AMP;J"	0.0425473
"Mariah Carey"	0.0424769
"Pax TV"	0.0424732
"patent office"	0.0424572
Bronfman	0.0424546
"New York Public Library"	0.0424071
Deutsche	0.042362
IMS	0.0423332
Lockheed	0.042307
Puma	0.042217
Hyundai	0.0421295
CitySearch	0.0420703
ExciteAtHome	0.0420509
"auto company"	0.0418943
Terra	0.0418361
Teamsters	0.0417686
"Whole Foods"	0.0417657
"Warner Bros."	0.0416799
PSE	0.0416678
Tandy	0.0414924
Fiat	0.0414007
"Y&AMP;R"	0.0412624
"Pacific Lumber"	0.0412579
Springsteen	0.041253
ICI	0.0412204
KPFA	0.0412045
Chrysler	0.0411684
Phish	0.0411537
Lear	0.0411336
"Sara Lee"	0.041114
ZCCM	0.0411112
Kwanzaa	0.0410208
))
(Aristide (desc 5321.45) (sims
Kabbah	0.153469
Ranariddh	0.127434
Megawati	0.125238
Bucaram	0.120003
Menem	0.11617
Khatami	0.113142
Megret	0.11227
Suharto	0.111993
"Vladimir Meciar"	0.105906
"Megawati Sukarnoputri"	0.105462
Dudayev	0.105341
Tudjman	0.103918
Mobutu	0.103865
Cardoso	0.103162
Mugabe	0.103045
Perot	0.101983
Cardenas	0.101106
Meciar	0.0999252
Bhattarai	0.0989465
Aliev	0.0983172
Katsav	0.0973554
"Democratic Revolution"	0.0958789
Plavsic	0.0948555
Poplasen	0.0948152
Obasanjo	0.0943524
shah	0.0942048
"Ferdinand Marcos"	0.0923442
Balaguer	0.092261
Fujimori	0.0921765
Djukanovic	0.0917486
Koirala	0.0915611
Allende	0.0908483
Kaunda	0.0901576
Gargan	0.0900306
Rugova	0.0893102
Schaeuble	0.0885018
Karadzic	0.0883071
"Hun Sen"	0.088172
"Mobutu Sese Seko"	0.0881175
"Sam Rainsy"	0.0879007
Ouattara	0.0871118
Haider	0.0869806
Yeltsin	0.0869608
Vieira	0.0863544
Berisha	0.086249
Marcos	0.0857235
Madrazo	0.0850531
"Fidel Castro"	0.0848489
Ammiano	0.0847526
Zeroual	0.0845458
Starovoitova	0.0845
Hoffa	0.0837755
Rua	0.083668
"Lesotho Congress"	0.0828564
Nebiolo	0.0827862
Chavez	0.0814043
"Mohamed Siad Barre"	0.0809468
Duvalier	0.0807891
Shays-Meehan	0.0802309
Izetbegovic	0.0799209
"Ayatollah Ruhollah Khomeini"	0.0795317
"Abdurrahman Wahid"	0.0793383
Obuchi	0.0791486
Sharif	0.0782419
Berlusconi	0.0780624
Samper	0.0780351
"William Hague"	0.0779586
Bedie	0.0779105
D'Amato	0.0770611
Trimble	0.0766631
Wahid	0.0765162
Maskhadov	0.0765058
Mahuad	0.0764173
Bhutto	0.0763969
Soong	0.076215
Habibie	0.0761278
Hormel	0.0758947
"Jean-Marie Le Pen"	0.0758627
Kabila	0.0758006
Mahathir	0.0756465
"Ross Perot"	0.0755804
Milosevic	0.0753803
Rafsanjani	0.0750878
"Khaleda Zia"	0.0747268
"Hugo Chavez"	0.0746516
Hagelin	0.074285
PML-N	0.0739531
Bouteflika	0.0733449
Lukashenko	0.0732505
Arrington	0.0731643
"Nelson Mandela"	0.0730977
Yadav	0.073087
Noboa	0.0728369
UDF	0.0728246
Carey	0.0724765
Kohl	0.0720925
Patasse	0.0720511
"Margaret Thatcher"	0.0719443
Abortion-rights	0.071582
PDP	0.0715436
"Pol Pot"	0.0712577
Lazarenko	0.0711747
Nazarbayev	0.070876
Wamba	0.0708666
Hashimoto	0.0705304
Preval	0.0702078
"National Front"	0.0700289
Pinochet	0.0699788
"Slobodan Milosevic"	0.0699726
Mandela	0.0697652
Buyoya	0.0696582
Sihanouk	0.0696266
Samaranch	0.0696214
"Joerg Haider"	0.0693448
Abacha	0.0692172
Verney	0.0691384
"Ronald Reagan"	0.0690807
Chernomyrdin	0.0689775
Spyridon	0.0689013
Hariri	0.0686188
Cubas	0.0685611
Nouri	0.0681892
Moi	0.0681484
ANC	0.0680991
PRI	0.0678702
"Olusegun Obasanjo"	0.0676954
Gingrich	0.0673271
Khomeini	0.0670851
Bouchard	0.0669071
"Saddam Hussein"	0.0668696
Bulatovic	0.0668605
"Mahathir Mohamad"	0.0665714
Chavalit	0.0665493
Supachai	0.0665165
Mokhehle	0.0665103
Yavlinsky	0.0663373
Sezer	0.0660483
"Biljana Plavsic"	0.0660341
Saddam	0.066032
Protas	0.0660171
Blatter	0.0658985
Anwar	0.0658535
Mejia	0.0656444
Rhee	0.0656385
dictator	0.0655075
EX-COMMUNISTS	0.0654266
Masire	0.0654247
BJP	0.0650681
"Newt Gingrich"	0.0649457
"National Action"	0.0649325
Lyons	0.0647046
Chissano	0.0646378
Sankoh	0.0646179
"Moammar Gadhafi"	0.0646157
Aznar	0.0646072
"Charles Taylor"	0.064597
"Nationalist Party"	0.0645493
FN	0.0644448
PRD	0.0642134
Speight	0.0639546
"Dalai Lama"	0.0639017
Putin	0.0638426
"Boris Yeltsin"	0.0638372
Diouf	0.0638023
Walesa	0.063785
Estrada	0.0636978
"Abraham Lincoln"	0.0634514
"Jesse Ventura"	0.0633977
"Barry Goldwater"	0.0631148
D'Alema	0.0630693
Rabbani	0.063032
"Suu Kyi"	0.0629539
Dae-jung	0.0629357
Arias	0.0629072
Savimbi	0.0628602
Ventura	0.0624744
"Idi Amin"	0.0623503
"Yoshiro Mori"	0.0621932
Ruggiero	0.0620252
"Benazir Bhutto"	0.061979
Hutu	0.0619064
Chand	0.0617894
Nyerere	0.0614793
Zedillo	0.0613428
"Vladimir Putin"	0.0611873
Reagan	0.0611836
"Richard Nixon"	0.0611835
"Mahendra Chaudhry"	0.0611771
Chaudhry	0.0611721
Banharn	0.0611528
"Parti Quebecois"	0.0609896
"Ibrahim Rugova"	0.060967
"Roosevelt Johnson"	0.0608921
"Nawaz Sharif"	0.0607595
Aidid	0.0603473
"Lyndon B. Johnson"	0.0601734
Hume	0.0601613
"Radovan Karadzic"	0.0601323
Lafontaine	0.0601244
Kostunica	0.0600955
))
(aristocracy (desc 5033.81) (sims
nobleman	0.100172
nobility	0.0927255
aristocrat	0.081517
elite	0.0795081
colonizer	0.0758112
colonist	0.0744242
"upper class"	0.0715064
"Christine Arron"	0.0704489
literati	0.0689639
intelligentsia	0.0685253
"royal family"	0.0678951
"sea captain"	0.0646426
emperor	0.0605717
colonialist	0.0605146
gentry	0.0596947
musicologist	0.0586388
"army engineer"	0.0577401
gentility	0.0562646
"sphere of influence"	0.0556599
oligarchy	0.0554391
imperialist	0.0542169
colonialism	0.0541121
womanhood	0.0541058
"sparkling wine"	0.0534895
"common law"	0.0526332
"nuclear-powered submarine"	0.0521925
proverb	0.0521018
"legal code"	0.0520268
courtesan	0.0518774
"domed stadium"	0.0517604
cabinetmaker	0.0515337
novelist	0.0506232
"man of letters"	0.0502317
Industrialist	0.0496259
monarchy	0.0496168
vernacular	0.0492568
protectorate	0.0492298
despot	0.0491556
dynasty	0.04914
overlord	0.0489167
"old guard"	0.0489149
"word meaning"	0.0488067
"Renault SA"	0.0485886
dramatist	0.0483166
autocracy	0.0482451
jurist	0.0477211
philosopher	0.0473165
oligarch	0.0472865
"secret society"	0.0468655
"Protestant denomination"	0.0467345
"patent office"	0.04656
imperialism	0.0458706
"Herri Batasuna"	0.0458464
essayist	0.0458262
slang	0.0455027
"religious order"	0.045189
emigre	0.0451346
caste	0.0450291
consul	0.0450253
satirist	0.0450049
Chinese-Indonesians	0.0449915
billionaires	0.044841
"merchant ship"	0.0443027
"robbery suspect"	0.0442881
"air force officer"	0.0440929
"ballet company"	0.0436504
chauvinism	0.0435942
bloodline	0.0435736
radicalism	0.0435615
folklore	0.0435423
nationalism	0.0434901
"Mission Control"	0.0429776
colonization	0.042836
forebear	0.0428122
obstinacy	0.0428015
baron	0.0427719
"secret service"	0.0427114
commode	0.0426593
fraternity	0.0426326
royalty	0.0425887
bourgeoisie	0.0424441
"Maria Butyrskaya"	0.0421538
"middle class"	0.0421347
modernism	0.0420167
winemaker	0.0418283
"sailing ship"	0.0417942
statesmen	0.0417727
"Francis Bacon"	0.0417319
"Ottoman Empire"	0.0417063
"landscape architect"	0.0416761
Cookery	0.0416553
"country house"	0.041595
"avant garde"	0.0415147
"Marie-Jose Perec"	0.0414612
Dominion	0.0414148
Pantheon	0.0413773
"manor house"	0.0412682
cager	0.0412241
ballerina	0.0409234
sculptor	0.0407275
achiever	0.0407207
Palazzo	0.0406962
"landscape painting"	0.0406797
"naval officer"	0.0406557
ancestry	0.0405983
"slave trade"	0.040456
"repertory company"	0.0404357
upbringing	0.0402718
"upper crust"	0.0402602
inflection	0.0402408
twit	0.040018
))
(aristocrat (desc 12482.5) (sims
nobleman	0.131646
aristocracy	0.081517
Englishman	0.0699245
"sea captain"	0.0670797
intellectual	0.066713
Industrialist	0.0666965
banker	0.0644036
businessman	0.0638858
socialite	0.0623701
schoolteacher	0.0611628
poet	0.0609191
statesman	0.0605658
commoner	0.0600922
heiress	0.0595165
nobility	0.059278
tycoon	0.0589482
musician	0.0587001
Princess	0.0582106
"man of letters"	0.0582058
painter	0.0581442
adventurer	0.0579261
"art historian"	0.0579202
nun	0.057146
emperor	0.0568069
lass	0.0561772
"traveling salesman"	0.0561278
courtesan	0.0560832
housewife	0.0560693
eccentric	0.0558383
"naval officer"	0.0549818
"venture capitalist"	0.0549221
monk	0.0546545
"movie star"	0.0543445
cellist	0.0541666
noble	0.0541495
"folk singer"	0.0540959
governess	0.0538348
musicologist	0.0535012
colonist	0.0534095
matron	0.0529077
ballerina	0.0528921
elite	0.0528153
twit	0.0527898
missionary	0.052565
preacher	0.0524574
divorcee	0.0524262
clergyman	0.0516723
lover	0.0516045
novelist	0.0513972
gentleman	0.0513512
"art dealer"	0.0513327
mobster	0.0511596
newspaperman	0.0511188
philosopher	0.0511161
"business leader"	0.0510758
courtier	0.0508566
homemaker	0.0505873
diplomat	0.0505603
"business executive"	0.0504906
monarch	0.0504564
barrister	0.0502701
businessmen	0.0502145
"plantation owner"	0.0501394
priest	0.0498461
filmmaker	0.0497117
merchant	0.0496469
bureaucrat	0.0494076
jurist	0.0492114
mathematician	0.0491149
landowner	0.0490176
stockbroker	0.0487421
Southerner	0.0486905
"real estate developer"	0.0486111
celebrity	0.0482235
witch	0.0481789
magnate	0.0481431
bohemian	0.0479408
emigre	0.0478278
sharecropper	0.0478011
composer	0.0477444
"royal family"	0.0475997
statesmen	0.0475985
Samurai	0.0475803
pianist	0.047574
inventor	0.0474697
academic	0.0474353
policeman	0.0473251
baron	0.0470759
"newspaper editor"	0.046805
rancher	0.0467978
entrepreneur	0.0467409
alcoholic	0.0466482
patriarch	0.0464177
"period piece"	0.0460683
philanthropist	0.0460259
literati	0.0460258
slacker	0.0459284
financier	0.0457384
"religious leader"	0.0455784
illustrator	0.0455395
"military officer"	0.0453932
dreamer	0.0452363
Virgin	0.045177
overachiever	0.0451311
innkeeper	0.0449942
violinist	0.0449588
millionaire	0.0449334
"young man"	0.0448579
squire	0.0447157
do-gooder	0.0446237
photographer	0.044609
essayist	0.0445641
diva	0.044416
officeholder	0.0443893
queen	0.0440798
"young woman"	0.0439743
Explorer	0.043901
"secret agent"	0.0438357
lesbian	0.0438055
womanhood	0.0437995
Cop	0.0436588
rabbi	0.043608
dictator	0.0434783
cabinetmaker	0.0434524
Bachelor	0.0433196
environmentalist	0.0433134
businesspeople	0.043305
schoolgirl	0.0432616
transvestite	0.0432578
"black woman"	0.0431453
scholar	0.0430642
schoolboy	0.0429714
Pol	0.0429357
maid	0.0429284
oligarch	0.0428392
"school boy"	0.042839
loner	0.0428299
scion	0.042763
junkie	0.0427016
feminist	0.0426253
sculptor	0.0426096
technocrat	0.0424846
misfit	0.0424246
serviceman	0.0422804
seamstress	0.042214
"soul mate"	0.0421636
Irishmen	0.0421339
orator	0.0420733
educator	0.0420612
expatriate	0.0419904
Buddha	0.0418964
cleric	0.0418702
"civil rights leader"	0.0418548
hotelier	0.0416773
"con artist"	0.0416484
hippie	0.0416356
landlord	0.0416101
showgirl	0.0416091
fisherman	0.0415969
architect	0.0415349
"military man"	0.0413973
"word meaning"	0.0413207
villain	0.0412488
gangster	0.0411755
luminary	0.0411013
temptress	0.0410462
sailor	0.0409804
songwriter	0.0409391
herdsman	0.040925
Baptist	0.0408696
hostess	0.0408268
theologian	0.0408155
thinker	0.0407919
"landscape architect"	0.0407427
"TV reporter"	0.0407094
buffoon	0.0406871
collector	0.0406814
"army officer"	0.0406724
dramatist	0.0405721
superhero	0.0405665
"farm worker"	0.0404368
"labor leader"	0.0404117
mistress	0.0403713
puppeteer	0.0403426
outsider	0.0403374
capitalist	0.0403001
idealist	0.0402969
policewoman	0.0402818
multimillionaire	0.040234
"con man"	0.0401826
bourgeoisie	0.0401727
naturalist	0.0401637
Englishwoman	0.0400359
))
(Aristotle (desc 2980.34) (sims
Socrates	0.133301
Plato	0.111297
Zico	0.0772839
Confucius	0.0744717
Ruehe	0.0697436
Voltaire	0.0649779
Goethe	0.0633953
Galileo	0.0621512
Marineau	0.0589202
Lehane	0.0581297
"Benjamin Franklin"	0.0559629
"Alexander Hamilton"	0.0553354
Locke	0.0551148
Seneca	0.054595
Marulanda	0.0534087
Postel	0.0528466
Zhirinovsky	0.0524751
Chaucer	0.0512671
Cosell	0.0500312
Fernandes	0.0500057
Napolitano	0.0494697
"Le Corbusier"	0.0488133
Allard	0.0486953
Yastrzhembsky	0.0478094
Jayakumar	0.047743
Hitchens	0.0471136
Blazevic	0.0468161
Marx	0.0464504
Hoddle	0.046132
Caddell	0.0460737
"Robert Reich"	0.0459087
Beazley	0.045598
Ciampi	0.0454017
Verney	0.0452227
"Walt Whitman"	0.0449119
"Charles Darwin"	0.0448216
Cargill	0.0447998
Holzman	0.044733
Chappell	0.0446645
"Marv Albert"	0.0445623
Allchin	0.0443343
Megret	0.0441965
Weldon	0.0441214
Wilhelm	0.0438492
ethicists	0.0438389
"T.S Eliot"	0.0436775
MACHIAVELLI	0.0436263
Rousseau	0.0435208
Ibarra	0.0430718
Einstein	0.0430475
Darwin	0.043039
Leedham	0.0428596
Tauzin	0.042816
Sartre	0.0427007
"Don Juan"	0.0422816
Orban	0.0422012
Keady	0.0421871
Steiner	0.0420523
Rudman	0.0418049
"Doc Rivers"	0.0418031
Noboa	0.0416626
Havelange	0.0415455
"Warren Buffett"	0.04151
Cassini	0.0414691
Finkel	0.0414294
Arkin	0.0412587
Naumann	0.0411935
Nietzsche	0.0411558
Greenwald	0.0411182
"Teddy Roosevelt"	0.0410131
Rubenstein	0.0409892
CCC	0.0408888
"George Bernard Shaw"	0.0404497
Confucianism	0.0403991
Dante	0.0403449
Tarawneh	0.0402593
Jett	0.0401493
Folkman	0.0401296
))
(arithmetic (desc 4938.18) (sims
math	0.119116
mathematics	0.117939
algebra	0.110949
calculus	0.0903037
stagecraft	0.0788039
geography	0.0783947
logic	0.0769935
reasoning	0.0738058
teardrop	0.0723945
calculation	0.068033
economics	0.0649246
laziness	0.0643332
geometry	0.0628636
equation	0.0624388
demographics	0.0618611
"rule of thumb"	0.0612026
axiom	0.0609792
grammar	0.0594657
physics	0.0591576
dynamics	0.0582842
civics	0.0582718
"law of nature"	0.057748
vocabulary	0.0568442
schoolwork	0.056653
computation	0.0563604
"modus operandi"	0.0554528
"common sense"	0.0543531
tenet	0.054233
pronunciation	0.0541562
trickery	0.0538997
"game plan"	0.0533655
"number crunching"	0.0527724
"golden rule"	0.0521975
Kiswahili	0.0513921
karma	0.0513186
precept	0.0512002
spelling	0.0511418
tradeoff	0.0509299
"good manners"	0.0501753
happenstance	0.0499119
Chemistry	0.0494845
assumption	0.0493257
editing	0.0492774
"God's Will"	0.0491902
fulcrum	0.0491563
perusal	0.0490153
rationale	0.0490151
parameter	0.0486205
literacy	0.048507
hypothesis	0.0485034
"small change"	0.0479807
"dance step"	0.0478908
paradox	0.0478336
credo	0.0477257
exigency	0.0476151
Etiquette	0.0472126
"head count"	0.047061
"spoken word"	0.0470029
terminology	0.0469729
hunch	0.0468008
alphabet	0.0465781
"legal principle"	0.0465442
"historical document"	0.0463703
Putonghua	0.0462696
drudgery	0.0461729
"problem solving"	0.0461406
"civic duty"	0.0461173
Truism	0.045746
one-seventh	0.0456839
charade	0.0456142
rightness	0.0454666
"math teacher"	0.0454389
probability	0.0447601
nitty-gritty	0.0447011
"detective work"	0.0446646
bookkeeping	0.0440896
translation	0.0439603
coincidence	0.0438626
intricacy	0.043634
symbolism	0.043554
psychology	0.0433911
endgame	0.0432664
competence	0.0432569
symmetry	0.043237
instrumentation	0.0431569
logistics	0.0430896
"economic theory"	0.0428909
"about @@@ percent"	0.0426527
quandary	0.0424597
conundrum	0.0424384
crosscurrent	0.0424015
"line drawing"	0.0423432
craziness	0.0422948
punctuation	0.0422912
stubbornness	0.0421021
theology	0.0420591
impossibility	0.0418218
whammy	0.0417506
analyses	0.0415997
unpredictability	0.0415577
"chess game"	0.0414496
biology	0.0414239
reportage	0.0412874
hygiene	0.0411566
fairness	0.0410873
"damage control"	0.0409702
mindset	0.0409131
conjecture	0.0407506
palliative	0.0407157
nonsense	0.040564
"reference book"	0.0405586
"religious service"	0.0403811
gamesmanship	0.0403802
thesis	0.0402471
"ground rule"	0.0401585
silliness	0.0401282
TAAS	0.0401261
verity	0.0400972
rewriting	0.0400184
))
(Ariz. (desc 4479.13) (sims
AZ	0.228747
Ore.	0.0775283
Calif.	0.0574537
Colo.	0.0526835
Tenn.	0.0524204
PA.	0.0519188
ill.	0.0517389
Fla.	0.0510917
Wis.	0.0507262
Minn.	0.0504806
Okla.	0.0499584
Va.	0.047484
Md.	0.0462432
Wash.	0.0460132
Vt.	0.0455987
LA.	0.0451259
Mich.	0.0442909
Ind.	0.0441242
S.C.	0.0439685
FL	0.0424753
Ky.	0.0402135
Ala.	0.0402003
))
(Arizmendi (desc 1846.16) (sims
Cheung	0.15952
Carruth	0.1453
Stayner	0.143753
Raduyev	0.131002
Mikhailov	0.127299
Shayler	0.1269
Meskini	0.12674
Faget	0.12595
Jenoff	0.122335
Martorano	0.117207
Kiareldeen	0.115948
Ghani	0.115458
Gurule	0.115234
Nikitin	0.113123
Pape	0.112466
Imperatori	0.112289
Sakic	0.11098
Giacchetto	0.109507
Laudrup	0.107616
Swango	0.106914
Hofer	0.106698
Natale	0.106238
Yazdi	0.105969
peeler	0.105803
Paciello	0.105431
Gravano	0.105036
"Maturino Resendiz"	0.104746
Skakel	0.102982
Lazarenko	0.102764
Brownlee	0.100947
Palczynski	0.100429
Hensley	0.0995493
Al-Amin	0.0991507
Papon	0.0986516
"Ruiz Massieu"	0.0976996
Chmura	0.0974922
Harrer	0.0970926
Kazhegeldin	0.0960305
Frankel	0.0958664
Hage	0.0957146
Neulander	0.0953131
Hiett	0.0952467
Alves	0.0950955
Faulder	0.0938209
Sarsour	0.0932493
"Michael Skakel"	0.0929689
Kimes	0.0925613
Rudolph	0.0915136
Yoo	0.0912003
Raznatovic	0.09105
"Al Fayed"	0.0910312
LeBlanc	0.090751
Vasquez	0.0896827
Gusinsky	0.0893533
Capano	0.0891425
Ntakirutimana	0.088408
Nathaniel	0.0877922
Fiddes	0.0873706
Romanowski	0.0870573
Kurth	0.0870199
"Russell Peeler"	0.086864
Shulman	0.0864865
Basayev	0.0863469
Resendez-Ramirez	0.0863359
Hendricks	0.086198
Mattysse	0.0861915
Krstic	0.0859358
Ressam	0.0859035
Haney	0.085223
Rodionov	0.0850619
Pagones	0.0850414
Laudor	0.0847865
Babitsky	0.0845761
Montiel	0.0842381
Kimeses	0.0840644
Haouari	0.0840388
Ntuyahaga	0.0837126
Contreras	0.082985
"Abu Nidal"	0.0829577
Siripongs	0.0826219
Allchin	0.0824812
Adair	0.0824636
Skiles	0.082417
Odeh	0.0823657
Carmichael	0.082309
Tillman	0.0813916
Boesak	0.0813848
Einhorn	0.0813653
Xia	0.0810062
Noriega	0.0809404
O'Hara	0.080662
Symons	0.0804799
Musa	0.0804683
Quintana	0.0804676
Fassett	0.0803991
D'Amico	0.0803569
Ochoa	0.079997
Sanderson	0.0799753
Kaczynski	0.0799681
Baumhammers	0.0798655
Jewell	0.0798223
Jakob	0.0798129
Hamid	0.079606
Villanueva	0.0792734
Druckenmiller	0.0790268
Merritt	0.0790132
Giordano	0.0790093
Eizenstat	0.0784969
Majko	0.0781736
Montalvo	0.0779408
Sheinbein	0.0776847
Ibrahim	0.0775916
Merlino	0.0775071
Gosper	0.0773663
Deane	0.0773132
Priebke	0.077119
McKinney	0.0770194
Valenzuela	0.0766874
Mcbride	0.0765882
Hirschfeld	0.0765655
Livoti	0.0763755
Bonner	0.0763727
McDuff	0.0762867
Noor	0.0761795
Mullen	0.0761274
tamer	0.076077
Fuentes	0.0757425
Robison	0.0754381
Tarawneh	0.0753534
Reimer	0.075306
Gauthe	0.0750347
Cisneros	0.0749809
Hou	0.0748371
Salim	0.0746089
Maharaj	0.0745582
Soliah	0.074271
Johnston	0.0742164
Puzo	0.0737142
Mitnick	0.0736677
furrow	0.0734443
Farber	0.0732244
Cheng	0.0730946
Karbaschi	0.0728026
Hightower	0.0727722
Chappell	0.0726183
Aleman	0.0724854
Bodine	0.0722745
Fagan	0.0722437
Kurtz	0.0722046
Cavallo	0.0720611
Krajisnik	0.0720221
Khalil	0.0720064
Nemtsov	0.0717119
Dumas	0.0715845
cain	0.071148
Bove	0.0710164
McMullen	0.0707849
Blackthorne	0.0704234
"Ta Mok"	0.0700854
Mohamed	0.0699516
Sharpton	0.0699432
Fleischer	0.0698856
Munoz	0.069833
Barrow	0.0695124
Agca	0.0694963
Gritz	0.0694403
Brunner	0.069374
yakuza	0.0692975
Navarro	0.0692782
Wolfson	0.0692521
pressman	0.069135
McGraw	0.0689708
"Raul Salinas"	0.068747
Tong	0.0685448
Tran	0.0685242
Werner	0.0683122
Shatner	0.0682922
Kohn	0.0682376
Cubas	0.0681555
Manbar	0.0681527
Marulanda	0.0681075
Elhage	0.0680659
PITTS	0.067868
Lau	0.06785
Koskinen	0.0677805
Schiffer	0.0677645
Qureshi	0.0677172
Abernathy	0.0676528
Sakakibara	0.0676062
Barksdale	0.0675796
Lundy	0.06746
Sassa	0.0672128
Yoakam	0.066934
Kasyanov	0.0667288
xu	0.0666989
Tuinei	0.0666322
Trevi	0.0664687
Ozawa	0.0662795
Espinosa	0.0662013
Manson	0.0662013
))
(Arizona (desc 116791) (sims
Colorado	0.260818
Minnesota	0.254877
Florida	0.23844
Texas	0.236814
Tennessee	0.23663
Oregon	0.218458
Nebraska	0.217928
Utah	0.216993
Michigan	0.215036
Cincinnati	0.207609
"San Diego"	0.206302
Wisconsin	0.204562
Missouri	0.20357
"New Jersey"	0.20302
Kansas	0.202889
Indiana	0.201963
"North Carolina"	0.201491
Detroit	0.200546
California	0.200102
Cleveland	0.198735
Georgia	0.197639
"St. Louis"	0.197565
Alabama	0.195224
Oklahoma	0.194861
Arkansas	0.1946
Miami	0.194569
Seattle	0.194537
Pittsburgh	0.193998
Kentucky	0.192558
"New Mexico"	0.191679
Oakland	0.191542
"Tampa Bay"	0.191124
Connecticut	0.189874
"Kansas City"	0.188304
Houston	0.186698
Philadelphia	0.183543
"West Virginia"	0.182293
Baltimore	0.182162
Dallas	0.18069
Atlanta	0.180338
Denver	0.17857
Illinois	0.178308
Milwaukee	0.178235
Montana	0.178069
Maryland	0.178034
Wyoming	0.177689
Virginia	0.17734
Iowa	0.176949
"South Carolina"	0.176583
Toronto	0.175236
Chicago	0.172735
"San Francisco"	0.172642
ANAHEIM	0.170357
"Green Bay"	0.169153
Pennsylvania	0.169145
"New York"	0.167807
Phoenix	0.166917
UCLA	0.166714
Mississippi	0.165804
Nevada	0.165504
Boston	0.165107
Washington	0.164598
"Arizona State"	0.158102
Massachusetts	0.15793
Montreal	0.157922
Buffalo	0.15765
Idaho	0.155857
Stanford	0.155541
"New England"	0.155047
Louisiana	0.154486
Purdue	0.154142
"Ohio State"	0.15289
"North Dakota"	0.152472
diamondback	0.15216
Maine	0.151965
"Penn State"	0.151921
"Florida State"	0.151291
"Los Angeles"	0.151285
Portland	0.150295
Ohio	0.149664
"Kansas State"	0.149447
Giants	0.148856
USC	0.148193
Jacksonville	0.14805
"Michigan State"	0.147207
Carolina	0.146277
Mets	0.145267
Hawaii	0.144868
"Rhode Island"	0.144029
LSU	0.143614
"Notre Dame"	0.142111
Syracuse	0.141857
"Southern California"	0.141604
Delaware	0.141308
"New Hampshire"	0.141012
"San Antonio"	0.140431
Sacramento	0.13946
"New Orleans"	0.137959
"Washington State"	0.137773
"Chicago Cubs"	0.137557
"South Dakota"	0.137192
Vermont	0.137159
Orlando	0.136801
Vancouver	0.136079
"Oregon State"	0.13417
"Oklahoma State"	0.134128
Edmonton	0.13182
ASTROS	0.131793
"San Jose"	0.131786
"Iowa State"	0.130726
Indianapolis	0.129576
"New York Mets"	0.129236
cardinal	0.129234
Auburn	0.127894
Alaska	0.127777
Yankee	0.124403
"Mississippi State"	0.122465
dodger	0.122068
"Georgia Tech"	0.121517
"Arizona Diamondbacks"	0.120282
Cal	0.119773
Phillies	0.119518
Calgary	0.11939
Duke	0.119182
ranger	0.118738
Nashville	0.118534
brave	0.118296
"Texas Tech"	0.118255
Charlotte	0.118202
Clemson	0.118102
"Chicago White Sox"	0.118021
cub	0.117114
wildcat	0.116427
"New York Jets"	0.116326
Rockies	0.11573
"New York Giants"	0.115446
"Golden State"	0.113949
"Red Sox"	0.11387
Padre	0.112496
Rutgers	0.112172
"Virginia Tech"	0.111566
"blue jay"	0.111186
mariner	0.110686
"San Diego State"	0.109733
Orioles	0.109063
"Louisiana Tech"	0.10878
Louisville	0.108634
Lakers	0.108531
"White Sox"	0.106764
Eagles	0.10671
Columbus	0.105915
Baylor	0.105188
"Wake Forest"	0.104875
A's	0.104278
"New York Yankees"	0.103976
Pepperdine	0.103219
Tampa	0.102704
Vanderbilt	0.102637
"Atlanta Braves"	0.1025
"Cleveland Indians"	0.101703
Tulsa	0.101635
state	0.100509
Canada	0.100314
"Colorado State"	0.100072
Mexico	0.0997436
"Texas Rangers"	0.0994602
Redskin	0.0994312
Ottawa	0.0992642
"North Carolina State"	0.0990358
"Boston College"	0.098136
"Brigham Young"	0.0979872
"St. Louis Cardinals"	0.0974531
ASU	0.0973127
"Fresno State"	0.0971377
marlin	0.0969059
TCU	0.0964309
angel	0.0963531
falcon	0.0962296
Knicks	0.0961597
"St. John"	0.0955736
"Las Vegas"	0.0952349
UConn	0.0950963
bruin	0.0950918
"Los Angeles Dodgers"	0.095012
Australia	0.0950028
"Arizona Cardinals"	0.0946569
"San Diego Padres"	0.0943399
"Seattle Mariners"	0.0939133
BYU	0.0937119
"Los Angeles Lakers"	0.0929874
"devil ray"	0.0929866
cowboy	0.0928227
England	0.0926222
"Puerto Rico"	0.0925501
"Anaheim Angels"	0.0924601
"Philadelphia Phillies"	0.0918123
Seahawks	0.0916631
Brazil	0.0912907
Royals	0.0912119
UNLV	0.0902506
))
("Arizona Cardinals" (desc 9217.53) (sims
"Washington Redskins"	0.25614
"Philadelphia Eagles"	0.249584
"Kansas City Chiefs"	0.240116
"New England Patriots"	0.232223
"Denver Broncos"	0.231925
"Seattle Seahawks"	0.226784
"San Francisco @@ers"	0.223957
"Minnesota Vikings"	0.220663
"Indianapolis Colts"	0.216169
"Pittsburgh Steelers"	0.215787
"Miami Dolphins"	0.214507
"Oakland Raiders"	0.208494
"Dallas Cowboys"	0.206297
"Chicago Bears"	0.202243
"Jacksonville Jaguars"	0.199244
"New York Giants"	0.197921
"New Orleans Saints"	0.193329
"Buffalo Bills"	0.191335
"New York Jets"	0.189441
"Tampa Bay Buccaneers"	0.187385
"Detroit Lions"	0.186938
"ATLANTA FALCONS"	0.184154
"Green Bay Packers"	0.183515
"Cincinnati Bengals"	0.18039
"San Diego Chargers"	0.168806
"Cleveland Browns"	0.167863
"Carolina Panthers"	0.163715
"Baltimore Ravens"	0.163672
"Tennessee Titans"	0.161521
"Calgary Flames"	0.154445
"St. Louis Rams"	0.150987
cardinal	0.146026
"Baltimore Colts"	0.145432
Redskin	0.139675
"Minnesota Twins"	0.139233
"Kansas City Royals"	0.139221
"Charlotte Hornets"	0.136534
Giants	0.135307
"Golden State Warriors"	0.13508
"Milwaukee Brewers"	0.132976
"Green Bay"	0.130738
"Florida Panthers"	0.128235
"Dallas Mavericks"	0.126418
"Vancouver Canucks"	0.126065
"Edmonton Oilers"	0.124996
"San Diego Padres"	0.124803
Seahawks	0.124593
"New York Islanders"	0.123062
Viking	0.122655
"Colorado Rockies"	0.121662
"Carolina Hurricanes"	0.120082
bronco	0.120032
"Detroit Tigers"	0.119904
"Boston Red Sox"	0.119727
"Anaheim Angels"	0.11872
"Utah Jazz"	0.118031
"Nashville Predators"	0.117845
Eagles	0.116996
"New Jersey Devils"	0.115909
"St. Louis Cardinals"	0.115884
"San Jose Sharks"	0.115129
"Oregon State"	0.115091
"Cincinnati Reds"	0.114999
"San Francisco Giants"	0.114801
"Atlanta Hawks"	0.114722
"Cleveland Indians"	0.114611
"Tampa Bay Lightning"	0.113962
"Tampa Bay"	0.113518
Bengals	0.113314
"Philadelphia Phillies"	0.113244
"Chicago White Sox"	0.112962
"Washington Capitals"	0.112263
"Arizona State"	0.111699
Steelers	0.111323
"Arizona Diamondbacks"	0.111247
"Los Angeles Lakers"	0.111147
"Ottawa Senators"	0.111111
"Milwaukee Bucks"	0.110886
"Portland Trail Blazers"	0.110381
"Toronto Maple Leafs"	0.110336
falcon	0.109637
packer	0.109365
"Philadelphia Flyers"	0.109248
"Chicago Blackhawks"	0.108851
ram	0.10885
"Vancouver Grizzlies"	0.108334
"Buffalo Sabres"	0.108291
patriot	0.108217
"Pittsburgh Penguins"	0.108215
raider	0.107908
"Baltimore Orioles"	0.107506
"San Antonio Spurs"	0.106523
"Tampa Bay Devil Rays"	0.106201
"Los Angeles Clippers"	0.106075
cowboy	0.105923
"New York Knicks"	0.105628
BEARS	0.10551
"Washington Wizards"	0.10545
"Texas Rangers"	0.10504
"Boston Bruins"	0.104993
"Minnesota Timberwolves"	0.104802
"New York Rangers"	0.104541
"Detroit Red Wings"	0.103961
"Los Angeles Kings"	0.103786
"Denver Nuggets"	0.102924
"Seattle Mariners"	0.102775
panther	0.101945
"Montreal Expos"	0.101784
"New York Liberty"	0.10173
"Houston Astros"	0.100985
"Detroit Pistons"	0.0996345
"Phoenix Coyotes"	0.0995108
"Houston Oilers"	0.0992588
"Toronto Blue Jays"	0.0991384
"Sacramento Kings"	0.0982311
"Texas Tech"	0.0980172
"Chicago Cubs"	0.0977277
MetroStars	0.0973467
"Indiana Pacers"	0.0972597
"Pittsburgh Pirates"	0.0971695
"Oakland Athletics"	0.0967597
"Los Angeles Rams"	0.0966138
Phillies	0.0957849
"Mighty Ducks"	0.0957574
"D.C. United"	0.0957342
"San Diego State"	0.0957195
"Maple Leafs"	0.0955166
"Miami Heat"	0.0954064
"Penn State"	0.0953183
Carolina	0.0952542
"White Sox"	0.0952084
"Houston Rockets"	0.094892
"New York-New Jersey MetroStars"	0.0948325
Arizona	0.0946569
"Los Angeles Dodgers"	0.09451
"Chicago Fire"	0.0940148
"Mississippi State"	0.0937288
"Chicago Bulls"	0.0935849
"Montana State"	0.0935316
"New Mexico State"	0.09316
Wolfpack	0.0931158
"Red Wings"	0.0922261
"North Carolina State"	0.0921159
"Ohio State"	0.0919994
"Florida State"	0.0918754
colt	0.0915466
"Notre Dame"	0.0914957
"Oklahoma State"	0.091286
clipper	0.0910036
dolphin	0.0909131
"San Jose State"	0.0906978
"Kansas State"	0.0906669
"Louisiana Tech"	0.0900455
"Northern Arizona"	0.0899835
Minnesota	0.0899718
"Montreal Canadiens"	0.0895911
"New York Yankees"	0.0895641
oiler	0.0894803
Seminoles	0.0893479
"Phoenix Suns"	0.0892589
"St. Louis Blues"	0.0892439
Jacksonville	0.0890463
"Dallas Stars"	0.0890269
"Cleveland Cavaliers"	0.0885468
"New York Mets"	0.0879667
"Dallas Burn"	0.08764
Dallas	0.0876169
"Boston Celtics"	0.0870209
"New Jersey Nets"	0.0868705
"Colorado Avalanche"	0.0868437
"Miami Fusion"	0.0867665
"Atlanta Braves"	0.0866365
"Fresno State"	0.0865251
Gators	0.0862022
Purdue	0.0862007
Tennessee	0.0861864
"CHARLOTTE STING"	0.0860463
"Orlando Magic"	0.0855734
Cleveland	0.0852774
A's	0.0850682
UNLV	0.0849078
"Boise State"	0.0846899
cavalier	0.0842546
USC	0.0840772
"Colorado State"	0.0839851
Buffalo	0.0839001
Stanford	0.0837623
Villanova	0.0834539
"Michigan State"	0.0834246
Cincinnati	0.0827406
"blue jay"	0.0826253
piston	0.0825332
Baylor	0.0825307
Rutgers	0.0823275
"Southern Mississippi"	0.0822804
"Boston College"	0.0818841
"Toronto Raptors"	0.0817088
Denver	0.0816885
Auburn	0.0814009
charger	0.0812775
))
("Arizona Diamondbacks" (desc 15663.6) (sims
"San Diego Padres"	0.291268
"Houston Astros"	0.262025
"Los Angeles Dodgers"	0.25588
diamondback	0.255739
"Cleveland Indians"	0.253535
"Texas Rangers"	0.249658
"Anaheim Angels"	0.246608
"San Francisco Giants"	0.246391
"Florida Marlins"	0.242853
"Kansas City Royals"	0.242337
"Baltimore Orioles"	0.24117
"Colorado Rockies"	0.235757
"Detroit Tigers"	0.234471
"Chicago Cubs"	0.232467
"Oakland Athletics"	0.231388
"Cincinnati Reds"	0.229987
"St. Louis Cardinals"	0.22887
"Philadelphia Phillies"	0.227268
"Boston Red Sox"	0.226561
"Montreal Expos"	0.224881
"Milwaukee Brewers"	0.220689
"New York Mets"	0.218571
"Atlanta Braves"	0.218335
"Seattle Mariners"	0.215802
"Chicago White Sox"	0.213455
"Pittsburgh Pirates"	0.209809
"New York Yankees"	0.207322
"Tampa Bay Devil Rays"	0.204575
"Toronto Blue Jays"	0.20126
"Minnesota Twins"	0.185556
ASTROS	0.181141
Padre	0.170352
Phillies	0.16703
Orioles	0.159912
dodger	0.158401
"Nashville Predators"	0.154159
"White Sox"	0.153523
Mets	0.153154
"blue jay"	0.151801
Giants	0.151795
"Red Sox"	0.151087
mariner	0.150591
"Calgary Flames"	0.147642
"Florida Panthers"	0.145844
cub	0.143506
A's	0.143499
ranger	0.141014
brave	0.138487
Yankee	0.138363
marlin	0.13812
"devil ray"	0.13076
"San Antonio Spurs"	0.130562
"Utah Jazz"	0.128753
"Carolina Hurricanes"	0.128176
"Mighty Ducks"	0.12805
"Los Angeles Lakers"	0.127285
"Pittsburgh Penguins"	0.125687
"Edmonton Oilers"	0.12528
"Houston Rockets"	0.125128
Cleveland	0.125123
"Chicago Fire"	0.125086
Rockies	0.12434
"Golden State Warriors"	0.122308
angel	0.121898
"Detroit Red Wings"	0.121718
"Washington Capitals"	0.121593
"Dallas Burn"	0.121253
"Tampa Bay"	0.120533
"San Jose Sharks"	0.120398
Arizona	0.120282
"Washington Redskins"	0.119224
"Sacramento Kings"	0.118813
"Miami Fusion"	0.118422
Expo	0.118065
cardinal	0.117671
Oakland	0.11746
"California Angels"	0.116856
"New York Giants"	0.116436
Royals	0.114708
"Detroit Pistons"	0.114079
"St. Louis Rams"	0.113962
Cincinnati	0.113757
"Buffalo Sabres"	0.112587
"Cleveland Browns"	0.112348
"Green Bay Packers"	0.111688
"Arizona Cardinals"	0.111247
"Ottawa Senators"	0.111188
"San Diego"	0.11097
"Miami Heat"	0.110951
"Colorado Avalanche"	0.110533
"Chicago Blackhawks"	0.11041
"New York-New Jersey MetroStars"	0.109732
"Dallas Stars"	0.109636
"New York Knicks"	0.108659
"Vancouver Canucks"	0.108537
"Dallas Mavericks"	0.108029
"Atlanta Hawks"	0.107764
"D.C. United"	0.107745
"Phoenix Coyotes"	0.10726
"Los Angeles Clippers"	0.106908
ANAHEIM	0.105553
"New England Patriots"	0.104983
"New York Islanders"	0.10452
"Minnesota Timberwolves"	0.10446
"New York Rangers"	0.104347
"Montreal Canadiens"	0.104009
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pirate	0.101976
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"Red Wings"	0.101766
"Toronto Maple Leafs"	0.10144
Toronto	0.101205
Sox	0.101031
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"Chicago Bulls"	0.100546
Milwaukee	0.100508
"St. Louis"	0.100497
brewer	0.100418
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MetroStars	0.100362
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"Atlanta Thrashers"	0.100169
"Charlotte Hornets"	0.100148
"Phoenix Suns"	0.0996926
Baltimore	0.0991807
panther	0.0989783
Seattle	0.0988198
Redskin	0.0987455
Colorado	0.0981854
"Denver Broncos"	0.0975429
"St. Louis Blues"	0.0972948
"Tampa Bay Lightning"	0.0969989
Lakers	0.0969703
"Boston Bruins"	0.0966609
"Seattle SuperSonics"	0.096588
"Philadelphia Flyers"	0.0963171
"Washington Wizards"	0.0962708
"New York Liberty"	0.0959534
"Los Angeles Kings"	0.0958167
"Indiana Pacers"	0.0956743
"Orlando Magic"	0.0954765
Houston	0.0951498
"New York Jets"	0.0947356
Detroit	0.0937277
"Vancouver Grizzlies"	0.0933843
"CHARLOTTE STING"	0.0932045
"Philadelphia Eagles"	0.0929752
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oiler	0.0925025
clipper	0.092458
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"Tennessee Titans"	0.0910234
"ATLANTA FALCONS"	0.0908913
Indian	0.0906565
Celtics	0.0906494
"Dallas Cowboys"	0.0902764
"San Francisco @@ers"	0.0893046
Pittsburgh	0.089272
Minnesota	0.0889833
"Brooklyn Dodgers"	0.0886209
"Montana State"	0.0877676
"Fresno State"	0.0874371
Montreal	0.0873358
"Seattle Seahawks"	0.086845
Canadiens	0.086639
"New Jersey Nets"	0.0865781
Philadelphia	0.086519
Edmonton	0.0865103
"Denver Nuggets"	0.0862466
"Seibu Lions"	0.0862296
"Mississippi State"	0.0858807
"Chicago Bears"	0.0857525
"Phoenix Mercury"	0.0856011
Seahawks	0.0854085
Purdue	0.0851201
Eagles	0.0850484
"Baltimore Ravens"	0.0849967
"Louisiana Tech"	0.0848451
"Boston Celtics"	0.0843399
"New Orleans Saints"	0.0841733
"Kansas City Chiefs"	0.0841566
islander	0.0839985
Canuck	0.0836191
"Oregon State"	0.0828424
"Kevin Brown"	0.0825905
Viking	0.0824663
"San Francisco"	0.0821783
"Trail Blazers"	0.0820301
"Kansas City"	0.0819173
"Milwaukee Bucks"	0.0815586
packer	0.0811591
"Oakland Raiders"	0.0807636
falcon	0.0805767
bulldog	0.0803036
"Phenix City"	0.0802555
piston	0.0801629
"Iowa State"	0.0799822
"Buffalo Bills"	0.079754
"Pittsburgh Steelers"	0.0796787
))
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"Dallas Morning News"	0.243201
"USA TODAY"	0.236271
"Washington Post"	0.232352
"Wall Street Journal"	0.226034
"Kansas City Star"	0.225196
"Houston Chronicle"	0.22505
"Chicago Tribune"	0.222032
"Boston Globe"	0.219893
"Washington Times"	0.210377
"San Francisco Chronicle"	0.203519
"Miami Herald"	0.200969
"San Francisco Examiner"	0.195602
Haaretz	0.192769
"Atlanta Journal-Constitution"	0.1919
"Village Voice"	0.185919
"Boston Herald"	0.185335
"Denver Post"	0.184519
"New York Daily News"	0.183123
"Daily News"	0.181712
"New York Post"	0.181329
"Financial Times"	0.180683
Newsday	0.17909
"Des Moines Register"	0.177877
"New York Observer"	0.174732
"New York Times"	0.174332
"Seattle Post-Intelligencer"	0.17316
Newsweek	0.17183
"Austin American-Statesman"	0.168851
"Fort Worth Star-Telegram"	0.164187
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Post-Intelligencer	0.160245
"San Antonio Express-News"	0.158844
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"Detroit News"	0.150803
Star-Ledger	0.148612
Reforma	0.14851
Times	0.145934
"Philadelphia Inquirer"	0.145506
"Le Figaro"	0.144684
"Le Monde"	0.143906
"International Herald Tribune"	0.143161
"El Pais"	0.141428
"Dow Jones Newswires"	0.139277
"Daily Telegraph"	0.137982
"Cox Newspapers"	0.136305
"Chicago Sun-Times"	0.136121
"Sydney Morning Herald"	0.135805
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"Straits Times"	0.133581
"New York Times Magazine"	0.13128
chronicle	0.128415
"Jerusalem Post"	0.127144
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"National Journal"	0.12483
telegraph	0.124056
"Sports Illustrated"	0.124013
"Koha Ditore"	0.122802
Maariv	0.12264
"San Jose Mercury News"	0.12253
"Bloomberg News"	0.122352
"Atlantic Monthly"	0.121734
Herald	0.118345
Kommersant	0.118282
"Detroit Free Press"	0.117974
"St. Louis Post-Dispatch"	0.117097
"Daily Mail"	0.116569
"New Straits Times"	0.113776
"Business Times"	0.112837
"Seattle Times"	0.110097
"United Press International"	0.109163
Reuters	0.108724
Star-Telegram	0.108251
Izvestia	0.107978
globe	0.107764
"Yediot Ahronot"	0.107755
"Asahi Shimbun"	0.106868
Enquirer	0.106746
"Der Spiegel"	0.106495
"New Republic"	0.106403
"Yomiuri Shimbun"	0.106361
"Orange County Register"	0.105886
"Dayton Daily News"	0.105194
tabloid	0.104576
"World Report"	0.103432
"Nihon Keizai Shimbun"	0.103135
"Guangming Daily"	0.102862
IRNA	0.101337
"ABC News"	0.101289
"Atlanta Journal"	0.101149
"Los Angeles Daily News"	0.100297
"El Mundo"	0.099819
"National Post"	0.0993564
Guardian	0.0982464
Granma	0.0976765
"Voter News Service"	0.0963424
tribune	0.0957365
Asahi	0.0955235
"TV guide"	0.0954328
al-Hayat	0.09509
"Hearst Newspapers"	0.0943586
BBC	0.091365
Inquirer	0.0913118
"New England Journal"	0.0907804
"National Enquirer"	0.0904366
"Cable News Network"	0.0903928
Bild	0.0902535
"New York Review"	0.0891238
"Hollywood Reporter"	0.0888377
"U.S. News"	0.0875582
"Advertising Age"	0.0870681
"Rolling Stone"	0.0867337
journal	0.0864688
"Israel Radio"	0.0861984
Gallup	0.0859201
"CBS News"	0.0852512
"Free Press"	0.0847125
"British Broadcasting Corp."	0.0844352
"vanity fair"	0.0831696
"Cox News Service"	0.0829816
gazette	0.0819639
JAMA	0.0805083
Esquire	0.0804902
"American Journal"	0.0804817
"Weekly Standard"	0.0799818
examiner	0.0798648
weekly	0.0793721
ESPN.com	0.0787234
"South China Morning Post"	0.0784318
Oregonian	0.0784264
"Kaiser Family Foundation"	0.0781772
"roll call"	0.0778022
"New York Herald Tribune"	0.0776634
"Business Week"	0.0765528
L'Equipe	0.0763472
Al-Ahram	0.0762855
"Consumer Reports"	0.074953
"news service"	0.0747745
"New Vision"	0.0745471
"Hartford Courant"	0.0744216
"Zimbabwe News Agency"	0.0739025
Lancet	0.0737713
"Xinhua News Agency"	0.0736625
Journal-Constitution	0.0731502
"British Broadcasting Corporation"	0.0731281
pi	0.0726592
"Tehran Times"	0.0726423
Antara	0.072535
"wire service"	0.0724487
TheStreet.com	0.072304
frontpage	0.0717562
"Turkish Daily News"	0.0716037
"Nihon Keizai"	0.0714149
Tennessean	0.0711886
"Pew Research Center"	0.0711424
"Moscow Times"	0.070975
"Evening Standard"	0.0709393
"Agence France Presse"	0.0707713
"TV station"	0.070402
Al-Thawra	0.070017
"China Daily"	0.0699504
"NBC News"	0.0698506
CNN	0.0697831
"Dateline NBC"	0.0692133
Xinhua	0.0683037
"Wear Daily"	0.068127
"American Association of Retired Persons"	0.0664011
"Amnesty International"	0.0663301
"tabloid newspaper"	0.0663089
Salon.com	0.0662459
"Jakarta Post"	0.0658788
Notimex	0.065075
"news media"	0.0645392
"English Football Association"	0.0645173
Hurriyet	0.0639765
"Al Hayat"	0.063902
"New Nigerian"	0.0637066
"National Public Radio"	0.0636994
Sera	0.0629359
"Voice of America"	0.0627994
"television station"	0.0624838
Televisa	0.0617687
"television network"	0.0617246
UPI	0.0616089
"Radio Liberty"	0.0609491
AP	0.0606737
Barron	0.0605463
"Rwanda News Agency"	0.0605448
"Egyptian Middle East News Agency"	0.060348
"National Highway Traffic Safety Administration"	0.0597298
AJC	0.0594697
"National Association of Realtors"	0.0589995
Tous	0.0588591
"Jordan Times"	0.0586765
"Kuwait News Agency"	0.0583614
Salam	0.0578933
"Gallup Poll"	0.0578329
"Iran News"	0.0574562
newsletter	0.0571759
"Ghana News Agency"	0.0570754
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("Arizona Republican" (desc 2702.08) (sims
R-Ariz.	0.294303
"Texas Republican"	0.139772
"North Carolina Republican"	0.131979
"Illinois Republican"	0.129129
"New York Republican"	0.128842
"Florida Republican"	0.118867
Cindy	0.111944
"Democrat Bill Bradley"	0.11097
"Massachusetts Democrat"	0.107917
"Georgia Republican"	0.105487
"California Democrat"	0.103184
"New York Democrat"	0.0982742
"California Republican"	0.0937715
R-Maine	0.0886495
D-S.C.	0.0882149
R-Alaska	0.0831955
Feingold	0.0818673
"Russell Feingold"	0.0812133
"Alan Keyes"	0.0810728
"Jon Kyl"	0.0789246
"John Danforth"	0.0788399
"Ted Stevens"	0.0787226
"Orrin Hatch"	0.0786074
Arizonan	0.077192
D-Wis.	0.0768161
"Warren Rudman"	0.0766862
aviator	0.0755585
"Herb Kohl"	0.0755338
"Arlen Specter"	0.075431
"prisoner of war"	0.0751316
R-Mo.	0.0750022
"Steve Forbes"	0.0747064
"Ben Nighthorse Campbell"	0.0741477
"John Kasich"	0.0728398
"Bob Smith"	0.0720743
R-Utah	0.0714294
"Russ Feingold"	0.0711122
D-Ore.	0.0707339
"Richard Bryan"	0.0698151
"Pete Domenici"	0.068898
R-Ohio	0.0688843
"Frank Murkowski"	0.0683971
"Charles Grassley"	0.068324
R-Kan.	0.0678967
R-Mich.	0.0678246
"Chuck Hagel"	0.0677707
D-Mass.	0.0673418
"Paul Coverdell"	0.0673318
D-Va.	0.0670209
"Mitch McConnell"	0.0659648
R-Wis.	0.0658641
"John Kerry"	0.0658512
"John Engler"	0.0657357
"Connie Mack"	0.065521
"Olympia Snowe"	0.0653519
Quayle	0.0649155
R-N.C.	0.0645673
POW	0.0645493
D-Mich.	0.0643478
R-Neb	0.064224
Kasich	0.0641719
"Phil Gramm"	0.0638583
"Harry Reid"	0.0636917
D-Conn.	0.0632306
"Elizabeth Dole"	0.0626187
R-Iowa	0.0623218
D-Vt.	0.0622625
R-N.H.	0.0619238
"Richard Lugar"	0.0615072
"Alfonse D'Amato"	0.0614345
R-La.	0.0613774
"Yukio Hatoyama"	0.0607877
Rawabdeh	0.0602987
"Jesse Helms"	0.0600091
"Robert Torricelli"	0.0598966
R-Miss.	0.0595707
"Condoleezza Rice"	0.0592177
"Orlando Mercado"	0.0587437
aspirant	0.0587163
R-Vt.	0.0582191
"Senate Commerce Committee"	0.0576829
Keyes	0.0567923
R-Ind.	0.056271
"Gary Bauer"	0.0561777
D-N.Y.	0.0560548
Ruehe	0.0557668
"Joseph I. Lieberman"	0.0556958
"Jim Nicholson"	0.0554341
Moscoso	0.0548743
"Charles Schumer"	0.0544112
"Patrick J. Buchanan"	0.0544018
"Kay Bailey Hutchison"	0.0542843
officeholder	0.0536247
"Dianne Feinstein"	0.0536065
"William Bennett"	0.0534257
Cepeda	0.0533808
Okada	0.0532678
"Richard Shelby"	0.0531148
"Martin Lee"	0.0521362
octogenarian	0.0519253
"Pat Buchanan"	0.0519226
"Yuri Luzhkov"	0.0518413
Cowan	0.0513523
R-Va.	0.0512908
"Tom Harkin"	0.0511527
"John Breaux"	0.0511499
"Strom Thurmond"	0.0509437
"Robert Bennett"	0.0505377
Biden	0.0503919
R-S.C.	0.0503216
D-N.J.	0.0502568
"naval officer"	0.0501837
"Edward M. Kennedy"	0.0501067
"Craig Thomas"	0.0499907
"Edward Kennedy"	0.0498113
"Daniel Patrick Moynihan"	0.0495754
"National Convention Executive Council"	0.0493298
Geiger	0.0489547
"D-Los Angeles"	0.0484984
"Cuauhtemoc Cardenas"	0.0484822
Kerrey	0.0482381
"Bill Frist"	0.0481646
D-Del.	0.04784
"Jack Kemp"	0.0475941
Villar	0.0474301
leaver	0.0473804
Kok	0.0473676
Dae-jung	0.0472583
D-Neb	0.047238
Zyuganov	0.0471435
"David Irving"	0.0471032
"Olympia J. Snowe"	0.0470598
"Sam Brownback"	0.0468295
congresswoman	0.0467984
"eight million"	0.0467531
"Gordon Smith"	0.0466745
"James Soong"	0.0464376
"Israeli Arab"	0.0462291
"Bob Graham"	0.0461865
"Republican Senate"	0.0461301
Alatas	0.0460503
"American Football League"	0.0459985
Schmalensee	0.0458571
R-Ala.	0.0457067
"administration official"	0.0456752
"Fred Thompson"	0.0455676
Kerik	0.0453732
Mapes	0.045372
R-Ill.	0.0450686
"Congressional Democrats"	0.0450234
Nader	0.0449941
centrist	0.0449656
ultranationalist	0.0449458
McGuinness	0.0447314
Bessette	0.0446618
Ashrawi	0.044577
"Joseph Lieberman"	0.0445359
"Family Research Council"	0.0444395
"Scott McNealy"	0.044419
D-La.	0.0443253
"Democrat Al Gore"	0.0440498
Hashimoto	0.0440477
Virginian	0.0438868
"Vladimir Zhirinovsky"	0.0438694
R-Colo.	0.0438675
D-Texas	0.0437948
"John Edwards"	0.0437645
Menino	0.0436868
left-winger	0.0436344
"Barbara Boxer"	0.0436282
Napolitano	0.0435586
R-Fla.	0.0435544
Carnahan	0.0435536
"John Chafee"	0.0435298
"Frank Joklik"	0.0433861
"House Budget Committee"	0.0432879
"Granite State"	0.0432761
DYP	0.0432103
R-Ark.	0.0431905
Inhofe	0.0431731
Madrazo	0.0431689
Mejia	0.0430264
Blazevic	0.0430179
Maritz	0.0429479
D-Calif.	0.0429463
Laban	0.0429234
assemblyman	0.0428803
"Vladislav Jovanovic"	0.0427378
Kerasiotes	0.0425883
R-Pa.	0.0425367
Summitt	0.0424521
"Steve Case"	0.0424147
"campaign official"	0.0423894
Berra	0.0423103
PDP	0.0423089
Diouf	0.0421967
"Joe Lieberman"	0.0421614
"Charlene Barshefsky"	0.0420289
Marulanda	0.0420279
"Republican House"	0.0418942
))
("Arizona State" (desc 20032) (sims
"Oregon State"	0.282096
UCLA	0.258939
"Ohio State"	0.25639
"Washington State"	0.25533
"Kansas State"	0.253092
"Notre Dame"	0.248956
USC	0.24861
"San Diego State"	0.241207
Stanford	0.240389
"Penn State"	0.235514
ASU	0.227283
"Florida State"	0.224532
Purdue	0.221742
"Georgia Tech"	0.221376
"Oklahoma State"	0.21646
Cal	0.214749
"Fresno State"	0.213394
LSU	0.209353
"Michigan State"	0.204985
Nebraska	0.192358
"Mississippi State"	0.191959
"Texas Tech"	0.191679
"Brigham Young"	0.191655
"Boston College"	0.190618
Oregon	0.188928
"San Jose State"	0.18823
Pepperdine	0.187963
"Iowa State"	0.187234
"North Carolina State"	0.186927
Vanderbilt	0.184911
Clemson	0.181582
UNLV	0.178991
BYU	0.178495
Rutgers	0.175413
Tennessee	0.174889
Syracuse	0.174482
Auburn	0.173672
SMU	0.172892
"Colorado State"	0.172463
"Virginia Tech"	0.170012
northwestern	0.167497
Baylor	0.164685
"Cal State Northridge"	0.163682
"Louisiana Tech"	0.1627
"Wake Forest"	0.162574
Alabama	0.161294
Arizona	0.158102
Gonzaga	0.155878
"New Mexico State"	0.155847
"Seton Hall"	0.15508
Kentucky	0.154731
Wisconsin	0.154711
"Long Beach State"	0.153606
TCU	0.151207
Michigan	0.149598
"Southern Cal"	0.148457
Tulane	0.148311
Duke	0.147693
Villanova	0.146007
DePaul	0.140221
Xavier	0.139857
"North Carolina"	0.139617
Kansas	0.1379
Minnesota	0.137811
Indiana	0.137238
"Weber State"	0.136971
UConn	0.136517
"New York Giants"	0.13632
"Boise State"	0.136224
"Louisiana State"	0.136093
CSUN	0.134552
Miami	0.133534
"Minnesota Vikings"	0.133481
Oklahoma	0.132468
"Southwest Missouri State"	0.131551
Colorado	0.131142
"Tampa Bay"	0.13053
"Southern Mississippi"	0.129541
Cal.	0.12934
"Green Bay"	0.126429
wildcat	0.126156
Pittsburgh	0.126012
"New York Jets"	0.125295
Utah	0.125022
"West Virginia"	0.124992
"East Carolina"	0.124979
"Utah State"	0.124947
Arkansas	0.124778
"Nevada-Las Vegas"	0.123982
"St. John"	0.123408
Cincinnati	0.123338
"Northern Arizona"	0.122062
"St. Louis Rams"	0.12196
Trojan	0.121333
Maryland	0.121333
"Southern California"	0.121047
Seminoles	0.119747
Georgia	0.119391
Georgetown	0.118975
"Georgia Southern"	0.118497
Louisville	0.118286
Carolina	0.116993
Tulsa	0.116613
"University of Connecticut"	0.115414
Gators	0.115111
"Washington Redskins"	0.114916
Jacksonville	0.114855
"ATLANTA FALCONS"	0.114299
Denver	0.113726
"Philadelphia Eagles"	0.11353
"Denver Broncos"	0.113249
"Arizona Cardinals"	0.111699
Sooners	0.11169
Giants	0.111635
"Dallas Cowboys"	0.111369
Redskin	0.111289
"University of Texas"	0.111253
Eagles	0.111062
"Indianapolis Colts"	0.110687
Florida	0.110641
"Chicago Bears"	0.110118
ou	0.109846
"D.C. United"	0.108932
"San Francisco @@ers"	0.108514
Detroit	0.108212
"Old Dominion"	0.107901
OSU	0.107811
Steelers	0.107768
"Miami Dolphins"	0.10728
"N.C. State"	0.106334
"Ball State"	0.106327
Princeton	0.105676
Texas	0.105627
Portland	0.105567
Missouri	0.105176
"New Mexico"	0.104824
"Tar Heels"	0.104799
BEARS	0.104531
"Arkansas State"	0.104059
"Kansas City Chiefs"	0.10335
"Tampa Bay Buccaneers"	0.10326
"Montana State"	0.103208
bruin	0.102919
"St. Louis"	0.102704
"San Diego"	0.102497
"Idaho State"	0.102156
"Detroit Lions"	0.101952
Buffalo	0.101928
Boilermakers	0.10178
Bengals	0.101672
tech	0.101645
"University of Georgia"	0.101586
"UC Santa Barbara"	0.10132
"Golden State"	0.101019
Cleveland	0.100624
husky	0.100429
"Texas Christian"	0.100345
UMass	0.10004
Philadelphia	0.100016
cardinal	0.0999211
Connecticut	0.0998973
Dallas	0.099868
"Buffalo Bills"	0.0994704
"Nittany Lions"	0.0993941
falcon	0.099363
"San Diego Padres"	0.098904
Aggies	0.0985212
Oakland	0.0985031
Fordham	0.0983311
"Oakland Raiders"	0.098286
Iowa	0.0981953
"Tennessee Titans"	0.0981783
bulldog	0.0978253
FSU	0.0977204
"Kansas City Royals"	0.0977092
panther	0.0970337
Cornhusker	0.0969369
Alabama-Birmingham	0.0968938
"Crimson Tide"	0.0968562
Virginia	0.0966375
"Green Bay Packers"	0.0961504
bronco	0.0960825
Lehigh	0.0960329
"University of Washington"	0.0960143
buckeye	0.0957071
Wyoming	0.0956245
Viking	0.095434
Hawaii	0.0953233
"Appalachian State"	0.0952648
"University of Houston"	0.0947222
"Horned Frogs"	0.0942171
"Calgary Flames"	0.0939071
"Kansas City"	0.0937286
"New Orleans"	0.0930867
Baltimore	0.0930372
"South Carolina"	0.0929966
Illinois	0.0929529
Wolverine	0.0923548
ram	0.0922967
"Arizona Diamondbacks"	0.0919722
))
("Arizona State University" (desc 4137.96) (sims
"University of New Mexico"	0.245409
"George Washington University"	0.231806
"University of Colorado"	0.216225
"University of Illinois"	0.212813
"Rutgers University"	0.208661
"Brandeis University"	0.204765
"Kansas State University"	0.202873
"Cornell University"	0.201299
"University of New Hampshire"	0.192711
"Northwestern University"	0.192541
"San Francisco State University"	0.191883
"Brown University"	0.189674
"Texas Christian University"	0.188762
"Emory University"	0.188221
"University of Kansas"	0.186728
"Southern Methodist University"	0.181904
"University of Maryland"	0.181373
"American University"	0.18058
"Harvard Business School"	0.180308
"Yale university"	0.180135
"New York University"	0.179997
"Pennsylvania State University"	0.177431
"University of Massachusetts"	0.174131
"University of Wisconsin"	0.173716
"Howard University"	0.173359
"University of Notre Dame"	0.173149
"Michigan State University"	0.173074
"University of Washington"	0.172623
"Duke University"	0.171891
"University of Florida"	0.170719
"Columbia University"	0.170577
"University of Kentucky"	0.169807
"Princeton University"	0.169507
"University of Chicago"	0.169495
"University of Iowa"	0.169052
"Brigham Young University"	0.16824
"Ohio State University"	0.166936
"Vanderbilt University"	0.166763
"University of Minnesota"	0.166354
"Purdue University"	0.165903
"University of Virginia"	0.164936
"State University of New York"	0.163933
"Stanford University"	0.163907
"Northeastern University"	0.163703
"University of Georgia"	0.163418
"Louisiana State University"	0.162777
"Yale Law School"	0.162669
"University of Missouri"	0.16199
"University of Michigan"	0.161857
"University of Utah"	0.161802
"University of Southern California"	0.161087
"University of Pittsburgh"	0.161039
"University of Toronto"	0.160025
"Harvard University"	0.159916
"North Carolina State University"	0.159147
"University of Arizona"	0.158915
"Tufts University"	0.156518
"Georgia State University"	0.156075
"Iowa State University"	0.156041
"Auburn University"	0.155654
"University of California"	0.154324
"Colorado State University"	0.153232
"Indiana University"	0.153184
"Syracuse University"	0.15311
"University of Alabama"	0.152994
"University of Rochester"	0.152165
"University of Arkansas"	0.151274
"Florida State University"	0.150558
"California State University"	0.150077
"Boston University"	0.149075
"University of Cincinnati"	0.148729
"Harvard Medical School"	0.147431
"California Institute of Technology"	0.146939
"University of Pennsylvania"	0.146787
"Washington State University"	0.146485
"University of South Carolina"	0.145658
"Rice University"	0.145099
"Massachusetts Institute of Technology"	0.144482
"Dartmouth College"	0.144008
"University of Houston"	0.143346
"University of Hawaii"	0.143291
"Kennedy School"	0.142353
"University of Tennessee"	0.142341
"city university"	0.141812
"Washington University"	0.141761
"Wright State University"	0.141361
"University of North Carolina"	0.139884
"Fordham University"	0.139305
"Cambridge University"	0.138508
"University of Texas"	0.138453
"City College"	0.13747
"University of Dayton"	0.136972
"Georgetown University"	0.136786
"Queens College"	0.135563
"Temple University"	0.134394
"Johns Hopkins University"	0.134107
"University of Mississippi"	0.133737
"University of Wyoming"	0.132681
"Harvard Law School"	0.132646
"University of Hong Kong"	0.132346
"George Mason University"	0.131618
"Hebrew University"	0.129849
Yale	0.129206
"Baylor University"	0.128332
"Williams College"	0.127433
"University of Nebraska"	0.125144
"John F. Kennedy School of Government"	0.121587
"University of Oregon"	0.120928
Cornell	0.120785
"Carnegie Mellon University"	0.120709
"Peking University"	0.118922
MIT	0.118838
"University of Connecticut"	0.117878
"Nanjing University"	0.11682
"Smith College"	0.116126
"Harvard School of Public Health"	0.115652
"Hunter College"	0.114249
"McGill University"	0.113849
Emory	0.112682
"Hofstra University"	0.111802
"Wake Forest University"	0.111369
"Catholic University"	0.110265
"Florida International University"	0.108409
"Harvard College"	0.108098
"Cooper Union"	0.106969
"Juilliard School"	0.106765
"University of Maine"	0.104208
"UC Berkeley"	0.104094
Brandeis	0.104077
CalTech	0.104054
"Trinity College"	0.103738
Vassar	0.103225
"Beijing University"	0.102705
"Oxford University"	0.102091
"U.S. Naval Academy"	0.102022
"University of Oklahoma"	0.100042
Juilliard	0.0996874
"University of Rhode Island"	0.0984429
UMKC	0.0983588
"Georgia State"	0.0979952
"Johns Hopkins"	0.0975047
"City University of New York"	0.09738
"Media Lab"	0.097237
"Fudan University"	0.0963618
"University of Miami"	0.096167
"Kennedy School of Government"	0.095997
"Tehran University"	0.0950525
Harvard	0.0946019
"Barnard College"	0.0945315
"Wesleyan University"	0.0943691
"Seton Hall University"	0.0934398
Princeton	0.0932968
"Lawrence Livermore National Laboratory"	0.093198
"London School of Economics"	0.0931303
"Rockefeller University"	0.0905918
"University of Nevada"	0.09012
"West Point"	0.089296
"business school"	0.0887787
"Qinghua University"	0.0887301
"Texas Tech University"	0.0881392
"College of Charleston"	0.0880466
UGA	0.0880361
"University of Zimbabwe"	0.0878297
"air force academy"	0.0862249
"school of medicine"	0.0856475
"medical school"	0.0848286
"teachers college"	0.0836002
"Apollo Theater"	0.0835
Dartmouth	0.0829741
NYU	0.0819572
CUNY	0.0817353
"school of law"	0.0816017
"Wharton School"	0.0811063
seminary	0.0795941
"Boston College"	0.0778146
ASU	0.0774361
"school of music"	0.0770955
"community college"	0.0761498
UNAM	0.0749886
UT	0.0749642
"law school"	0.0738025
Columbia	0.0735677
Stanford	0.0735255
"Chinese University of Hong Kong"	0.0733598
"School of Public Health"	0.0731538
"Graduate School of Business"	0.0729631
"naval academy"	0.0718637
"Georgia Tech"	0.0713303
"National Cancer Institute"	0.0708558
"Baylor College of Medicine"	0.0698262
Sorbonne	0.0693569
"Simon Wiesenthal Center"	0.0690931
criminology	0.0690272
KU	0.0688378
"Mount Sinai Medical Center"	0.0685434
"National Autonomous University"	0.0679022
"Makerere University"	0.0676297
"Memorial Sloan-Kettering Cancer Center"	0.0668107
Rutgers	0.066533
Berkeley	0.0655079
))
(Arizonan (desc 4713.53) (sims
Floridian	0.118161
Missourian	0.10775
Vermonter	0.103515
Georgian	0.10048
Ohioan	0.0977855
"North Carolinian"	0.0967967
Californian	0.0963113
Honduran	0.0939293
Kansan	0.0919733
Mississippian	0.0916815
Ecuadoreans	0.0881015
Texan	0.086362
Virginian	0.0858567
Guatemalan	0.0846587
Iowan	0.0833176
"South Carolinian"	0.0832457
"New Englander"	0.0819673
Navajos	0.0808875
Southerner	0.0806846
Londoner	0.0803422
"Sri Lankans"	0.0802896
registrant	0.0799806
Venezuelan	0.0795681
Atlantans	0.0794112
Minnesotan	0.0789127
Quebecers	0.0786048
adoptees	0.0777068
"Arizona Republican"	0.077192
Washingtonian	0.0757282
Cambodian	0.0753821
Tibetans	0.0746402
Colombian	0.0741037
Haitian	0.0739407
"Southern Baptists"	0.0719037
"San Franciscans"	0.0717932
gamers	0.071179
Austrian	0.0710058
enlistee	0.070692
"New Jerseyans"	0.0703465
"Puerto Rican"	0.0701394
Indonesian	0.0701104
Irishmen	0.0693781
Peruvian	0.0688359
Dominican	0.0687585
Frenchmen	0.0686509
Ugandan	0.0679899
Ukrainians	0.0679749
Panamanian	0.0678343
Brazilian	0.0675337
Taiwanese	0.0675064
Chilean	0.0673986
pensioner	0.0668701
Atlantan	0.0668314
Feingold	0.0667113
Eritrean	0.0663892
Mexican	0.0661765
Filipino	0.0659285
Bulgarian	0.0649641
Jordanian	0.0648939
Hungarian	0.0645438
"British people"	0.06447
Zimbabwean	0.0639298
Beijingers	0.063757
Mozambican	0.0634311
Sudanese	0.0633324
Briton	0.0631512
enrollee	0.0630887
POW	0.0630216
Salvadoran	0.0629958
churchgoer	0.0629942
"New Yorker"	0.0628173
"church member"	0.0627667
evangelicals	0.0626039
"temporary worker"	0.0625027
Tennessean	0.0623775
Hawaiians	0.0620098
diabetic	0.0618084
"South Koreans"	0.0615704
Kosovars	0.0608424
Kenyan	0.060547
"absentee ballot"	0.0602302
Moroccan	0.0602043
Kuwaiti	0.0601156
"Southeastern Legal Foundation"	0.0599246
Greeks	0.0593063
Turk	0.0590293
Timorese	0.0590176
Singaporean	0.0588063
Swede	0.058801
attendees	0.058565
Koreans	0.0584236
Muscovite	0.0583568
Paraguayan	0.0583161
"East Timorese"	0.0581482
Croats	0.0580771
Afghan	0.0579923
"union member"	0.0578494
hemophiliac	0.0576954
Latino	0.057645
Vietnamese	0.0575783
"Cuban American National Foundation"	0.0574809
Nicaraguan	0.057133
sufferer	0.0568129
Iranian	0.056734
Algerian	0.0566574
Bosnians	0.0565946
Ammiano	0.0565477
claimant	0.0563191
"New Zealander"	0.0562881
Liberian	0.0561007
steelworker	0.0560612
Baptists	0.0560597
laid-offs	0.0560178
Episcopalian	0.0559092
Finn	0.0557678
Cuban-Americans	0.0556578
panelist	0.0556126
"major-league team"	0.0555814
townsfolk	0.0554914
"French people"	0.0552395
"John Weaver"	0.0551478
"Kosovo Albanians"	0.055139
returnees	0.0551384
"Kosovo Serbs"	0.0549144
Katsav	0.0547585
Norwegian	0.0547303
left-winger	0.0546866
retiree	0.0544227
Slav	0.0543855
Scot	0.054335
Cypriot	0.0541509
Ethiopian	0.0540012
"job seeker"	0.0538179
respondent	0.0538052
townspeople	0.053707
Scots	0.0536991
"aerospace engineer"	0.0536424
Geiger	0.0536357
Uruguayan	0.0535056
"Iranian POWs"	0.0531633
ISPs	0.053138
"council member"	0.0530989
hopefuls	0.0527883
wellwisher	0.0527811
sherpas	0.0527535
"New York Republicans"	0.052641
firsts	0.05255
Angolan	0.0524232
Klansmen	0.05236
"Cuban Americans"	0.0523588
KNU	0.0522944
Chechens	0.0522746
"Republican Leadership Council"	0.0522046
Pakistani	0.052056
trainee	0.051852
"foster child"	0.0517796
vacationer	0.0517718
absentee	0.051767
"Kosovar Albanians"	0.0517453
tribesman	0.0517054
"American Indian"	0.0516915
"heroin addict"	0.0515073
Chinese-Americans	0.0512945
Bostonian	0.0512675
Yugoslavian	0.0512617
Nigerian	0.0512471
parolee	0.0512023
Easterner	0.0511707
"Democrat Bill Bradley"	0.0510491
policyholder	0.0509762
Somali	0.0509058
"Albanian Kosovars"	0.0508974
"Republican George W. Bush"	0.0507976
Athenian	0.050746
Hoffa	0.0506269
Latvians	0.0504762
Fijian	0.0504692
noncitizens	0.0504425
worshipper	0.0503209
"market watcher"	0.0502377
"Lincoln Chafee"	0.0501564
"altar boy"	0.0499889
Bostonians	0.0499637
Quayle	0.0499232
Yugoslav	0.0498647
"trade area"	0.0498076
Asian-Americans	0.0497809
Croatians	0.0497672
"black woman"	0.049698
"Alan Keyes"	0.0496626
Oregonian	0.0495898
Parisian	0.0495505
"break of serve"	0.0494361
"AIDS patient"	0.0494161
Zambian	0.0493076
Nepalese	0.049272
transnationals	0.0490622
Argentine	0.0490561
gambler	0.0490168
onlooker	0.0488719
))
(Ark (desc 5526.6) (sims
ark.	0.0520237
"wild West"	0.0511984
"Will &AMP; Grace"	0.0491176
treehouse	0.0488925
"Coyote Ugly"	0.0465211
"blue whale"	0.0458905
Noah	0.0455214
"jigsaw puzzle"	0.0447249
"pirate ship"	0.0447018
scaffold	0.0442095
"steam locomotive"	0.0440388
Joan	0.0439681
"two pitchers"	0.0424578
"Space Cowboys"	0.0422507
Amistad	0.0422228
Superman	0.0421766
Moby-Dick	0.04217
led	0.0420206
"electric car"	0.0417989
"Perfect Storm"	0.0410463
"wedding cake"	0.0409574
sloop	0.0407066
"slave ship"	0.0403896
pinata	0.0402403
arboretum	0.0401256
))
(ark. (desc 3845.63) (sims
Tenn.	0.0725575
Paducah	0.0595687
Miss.	0.055434
Ga.	0.0533545
Ark	0.0520237
Mo.	0.0520115
PA.	0.0507079
S.C.	0.0491396
mil	0.0489995
Ky.	0.0468771
Minn.	0.0464107
N.C.	0.0444798
Vt.	0.0443315
Mont.	0.0418071
))
(Arkan (desc 3771.45) (sims
Hajdari	0.170678
Raznatovic	0.132564
Starovoitova	0.130266
Nkabinde	0.120109
Guerin	0.117727
"Ruiz Massieu"	0.116182
Slepian	0.114781
Oswald	0.114368
Bellush	0.112597
Ileto	0.110989
Hani	0.108788
Bulatovic	0.107173
Rabin	0.101112
Gantamirov	0.0971934
Neulander	0.0939621
Snead	0.088182
Moxley	0.0881791
Dahmer	0.0877085
Biko	0.087472
Winchell	0.0866454
Gaither	0.0823974
Halloran	0.0807997
"James Byrd"	0.0793886
"Lee Harvey Oswald"	0.0791011
Kalejs	0.0789538
Mikhailov	0.0789168
Amedure	0.0780873
Ntakirutimana	0.0774881
Mladic	0.0758951
Carruth	0.0743004
Middleton	0.0730395
RFK	0.0727216
Hurtado	0.0720793
Geiger	0.071355
"Rajiv Gandhi"	0.0698648
Benton	0.069602
UNAMSIL	0.0687761
Raduyev	0.0687313
"army officer"	0.0687045
Byrd	0.0673034
Byrdsong	0.0671462
Webdale	0.0667806
Diallo	0.0667374
"JonBenet Ramsey"	0.0662897
Copt	0.0661762
Al-Amin	0.0660483
Lileikis	0.0658176
"Galina Starovoitova"	0.0657385
"Martin Frankel"	0.0652573
Natale	0.065017
"Azem Hajdari"	0.0648688
"El Hage"	0.064786
Karadzic	0.0645817
"Medgar Evers"	0.0642864
JonBenet	0.0640415
Escobar	0.0637217
Veerappan	0.063513
Tuinei	0.0634734
Ruelas	0.0632794
Postel	0.0632494
Gathers	0.0630297
"Yitzhak Rabin"	0.0628586
"Bin Laden"	0.0628459
Dudayev	0.0627657
Duvalier	0.062462
Roh	0.0622979
"Martha Moxley"	0.0618877
Amin	0.0618253
"Ratko Mladic"	0.0617853
"Robert F. Kennedy"	0.0617325
Sadat	0.0616783
Cobain	0.061537
"Cuban Americans"	0.0613569
"James Byrd Jr."	0.0613129
KFOR	0.0612391
Shepard	0.0612103
"black person"	0.0611465
"Matthew Eappen"	0.0609833
Borrego	0.0607385
Lawler	0.0606259
meatpackers	0.0605822
Izetbegovic	0.0602068
Trevi	0.0601343
Gerardi	0.0597009
Aidid	0.0593926
Salemme	0.0590755
Garang	0.058832
Gritz	0.0587244
Burks	0.0586871
"Edwin Edwards"	0.0586715
Kamajors	0.0585567
"Martin Luther King"	0.0583381
Dorismond	0.0582442
"Barnett Slepian"	0.0581622
Gandhi	0.0579151
Basayev	0.0577826
"Gianni Versace"	0.0574096
"Martin Luther King Jr."	0.0573201
Figueroa	0.0572526
furrow	0.0571128
"Patrick Dorismond"	0.0570062
"Abu Nidal"	0.0569639
"Amadou Diallo"	0.0569141
Craxi	0.0568997
Costin	0.0568608
Grunow	0.0567244
Luzhkov	0.0562945
paramilitary	0.0562313
Rushdie	0.0561169
Agca	0.0560354
B.J	0.0559906
Harrell	0.0558092
Robison	0.055799
Manbar	0.055664
Lipponen	0.0552721
Cahill	0.0548853
"European Jews"	0.0547314
Soliah	0.0546409
Fahey	0.0545618
Thaci	0.0541741
"Russell Peeler"	0.0540588
Castro	0.0540162
"Matthew Shepard"	0.0540137
Ayatollah	0.0540051
Tudjman	0.0539889
Sharif	0.0538819
Nebiolo	0.0538782
skinhead	0.0538248
"Ta Mok"	0.0537916
Karbaschi	0.0537264
Nasrin	0.0536528
Shayler	0.0536263
ex-husband	0.0534886
JFK	0.0532022
Osama	0.0531015
Djukanovic	0.0531009
Rowe	0.0529209
militiaman	0.0528779
Ricart	0.0528236
Hajjarian	0.0527811
"Ieng Sary"	0.0527604
Garcetti	0.05269
Berisha	0.052663
Barton	0.0525196
Nasser	0.0523121
Savimbi	0.0522659
"Hussein Aidid"	0.0521865
Rugova	0.0517631
snakehead	0.051624
Mendez	0.0514914
"Bobby Kennedy"	0.0513748
policeman	0.0513095
Villanueva	0.051226
Paxon	0.0512183
Cosby	0.0510196
Hirohito	0.0509225
Castaneda	0.0508678
Malik	0.0508004
Kagalovsky	0.0506273
Lennon	0.050383
Gotti	0.0503358
Aquino	0.0501562
"two @@-year-olds"	0.0501008
UNMIK	0.0500401
Jacquet	0.0500399
Machel	0.0498267
Shinn	0.049791
Leto	0.0497821
"newspaper publisher"	0.0497637
"Griffith Joyner"	0.0497407
"Robert Kennedy"	0.0497038
Gravano	0.0496643
Connolly	0.0495567
Lazarenko	0.0495481
Fuhrman	0.0494042
Khattab	0.0493603
Brunner	0.0492926
Kopp	0.0492782
Musa	0.0492506
"civil rights leader"	0.0491765
Baez	0.0491605
"Radovan Karadzic"	0.0491404
Kromah	0.0490577
Mulligan	0.0490385
Sankoh	0.0490377
Shipman	0.0489682
Harding	0.0489203
Krstic	0.0488232
Cuban-Americans	0.0487952
"Yugoslav Army"	0.0487924
Baumhammers	0.048727
chun	0.0485525
Stahl	0.0485358
Marianne	0.0485001
showgirl	0.0484965
Sweeting	0.0484708
Lundy	0.0484212
watchman	0.0484056
Koroma	0.0483833
"John Kennedy"	0.048368
))
(Arkansas (desc 48980) (sims
Kentucky	0.244766
Alabama	0.242498
Oklahoma	0.240767
Missouri	0.239053
Kansas	0.234603
Wisconsin	0.231694
Illinois	0.231415
"North Carolina"	0.229344
Tennessee	0.226855
Michigan	0.225828
"West Virginia"	0.219735
Louisiana	0.218496
Mississippi	0.218472
Virginia	0.218099
Nebraska	0.217341
Maryland	0.216875
"New Mexico"	0.215985
Oregon	0.213971
Florida	0.207931
Texas	0.205432
Indiana	0.204566
Georgia	0.203511
Connecticut	0.203424
Wyoming	0.203157
"South Carolina"	0.201487
Pennsylvania	0.200729
Arizona	0.1946
Minnesota	0.191464
Iowa	0.189412
Montana	0.188147
"North Dakota"	0.187552
Ohio	0.187459
"New Jersey"	0.184746
Nevada	0.184284
Massachusetts	0.183611
Utah	0.178907
Colorado	0.17772
"South Dakota"	0.177136
Delaware	0.174337
California	0.173932
"Mississippi State"	0.168966
Idaho	0.168394
Vermont	0.167856
"Rhode Island"	0.163881
Maine	0.163706
LSU	0.155858
Hawaii	0.153181
"Kansas State"	0.149908
"Oklahoma State"	0.144517
"Michigan State"	0.144424
Purdue	0.144087
Auburn	0.142033
Syracuse	0.140443
"Ohio State"	0.138151
"Southern California"	0.136305
"New Hampshire"	0.135361
"Florida State"	0.134404
Alaska	0.132306
"Texas Tech"	0.131535
"New York"	0.131384
"Penn State"	0.131295
UCLA	0.131027
"Washington State"	0.130659
"Iowa State"	0.127894
"Notre Dame"	0.127558
Clemson	0.126177
Vanderbilt	0.125759
Cincinnati	0.125614
"Arizona State"	0.124778
Tulsa	0.124094
Miami	0.123949
"North Carolina State"	0.12362
Stanford	0.12345
"New England"	0.123311
"Georgia Tech"	0.122599
Washington	0.120414
Louisville	0.118404
"Kansas City"	0.118317
"Little Rock"	0.115435
Pittsburgh	0.114465
"Louisiana Tech"	0.112356
Baylor	0.11218
"Virginia Tech"	0.112059
"Oregon State"	0.110261
USC	0.109508
Philadelphia	0.108571
Chicago	0.108483
Rutgers	0.108244
Jacksonville	0.108155
"St. Louis"	0.107608
"San Antonio"	0.106813
"Fresno State"	0.10579
Houston	0.105598
Detroit	0.105347
Denver	0.105021
Dallas	0.10438
"New Orleans"	0.103845
Duke	0.103579
Portland	0.103198
"San Francisco"	0.103187
"San Diego"	0.103033
"Brigham Young"	0.101799
Cleveland	0.101231
Baltimore	0.101024
Atlanta	0.100046
Brooklyn	0.0995545
Seattle	0.0993836
Cal	0.0990411
Sacramento	0.0989295
Phoenix	0.098879
"Los Angeles"	0.0983362
Buffalo	0.0983109
"San Diego State"	0.097403
SMU	0.0963085
Memphis	0.0961196
Villanova	0.0956109
"Puerto Rico"	0.0956024
"Seton Hall"	0.0955883
BYU	0.0955541
"District of Columbia"	0.0951815
"Wake Forest"	0.0946654
Oakland	0.0945712
Carolinas	0.0943984
Boston	0.0929512
"Green Bay"	0.0928369
Gonzaga	0.0928067
Midwest	0.0924972
Toronto	0.092001
Tulane	0.0918062
Indianapolis	0.0914679
"Colorado State"	0.0904198
state	0.0903838
northwestern	0.0897848
Milwaukee	0.0895552
Orlando	0.089535
Columbus	0.0890715
Xavier	0.0884614
Pepperdine	0.0883202
Montreal	0.0882
TCU	0.0876718
"Louisiana State"	0.086341
UNLV	0.0859056
"New Mexico State"	0.0858436
Georgetown	0.0846185
"New York City"	0.0844228
Tampa	0.0843703
Ontario	0.0843313
"St. John"	0.0841395
Austin	0.0839648
Vancouver	0.0837418
"Boston College"	0.0832747
Mexico	0.0828253
"Southern Mississippi"	0.0824713
"San Jose State"	0.0819253
UConn	0.0814767
Albany	0.0813397
"New York State"	0.0812679
Providence	0.0811218
Akron	0.0807737
"Tampa Bay"	0.0806941
"South Florida"	0.0806358
Dakota	0.0803851
England	0.0793407
Nashville	0.0792526
midland	0.0791395
Canada	0.0790773
"West Texas"	0.0790212
"Northern California"	0.0781531
Charlotte	0.0780775
Argentina	0.0775881
Carolina	0.0774187
"East Texas"	0.0773767
panhandle	0.0772056
Tucson	0.0771867
Bahamas	0.0764274
"Las Vegas"	0.0759144
"Dominican Republic"	0.0756242
"San Jose"	0.07486
"Jackson County"	0.0748121
Richmond	0.0745796
ANAHEIM	0.0742152
Minneapolis	0.0741553
"Orange County"	0.0735513
"Old Dominion"	0.07298
"Texas Christian"	0.0727682
ASU	0.072723
Marquette	0.0726633
"Fort Worth"	0.0726057
Quebec	0.072513
"Weber State"	0.0720391
wildcat	0.0718058
"N.C. State"	0.0717275
Cuba	0.071569
Omaha	0.070835
Italy	0.0708138
Denmark	0.0707548
Guatemala	0.070225
Australia	0.0699957
Rochester	0.0699318
Dayton	0.0698951
))
("Arkansas Derby" (desc 3374.11) (sims
"Santa Anita Derby"	0.207181
"Blue Grass"	0.201784
"Louisiana Derby"	0.170164
"Kentucky Derby"	0.168838
"Wood Memorial"	0.158363
"Florida Derby"	0.144824
Preakness	0.139059
Derby	0.130649
"Cup Juvenile"	0.13056
Travers	0.125309
"Jim Dandy"	0.122013
"Pacific Classic"	0.121319
"Santa Anita Handicap"	0.119968
"Kentucky Oaks"	0.118849
"Dubai World Cup"	0.11769
"Donn Handicap"	0.116258
"Belmont Stakes"	0.115901
"Preakness Stakes"	0.115489
"Jockey Club Gold Cup"	0.114904
"London Marathon"	0.11234
"New York City Marathon"	0.110897
"Cup Classic"	0.103328
"Juvenile Fillies"	0.101921
"Boston Marathon"	0.0993201
"Gold Cup"	0.0943456
"San Rafael"	0.0911347
"Hollywood Gold Cup"	0.0896088
Futurity	0.0877402
Belmont	0.0868165
"Daytona @@@"	0.0838859
breaststroke	0.0809992
"World Junior Championships"	0.0801546
distaff	0.0773538
"AFC East"	0.0771496
"West Regional"	0.0759375
Haskell	0.075818
"Northeast Division"	0.0756025
freestyle	0.0735478
"long jump"	0.0732348
"AFC Central"	0.0723864
slalom	0.07169
"shot put"	0.0697731
"Indy @@@"	0.069319
"Brickyard @@@"	0.069081
"Tour de France"	0.0686825
Brickyard	0.0685588
"Japan Open"	0.0683783
"BellSouth Classic"	0.0681948
"Big Sky"	0.0670358
"Pacific Division"	0.0667688
"Western Open"	0.0664948
Dwyer	0.0643758
backstroke	0.0641957
"Western Conference"	0.0641603
"regulation time"	0.0640105
"AFC West"	0.0634602
"Eastern Conference"	0.063168
"Pepsi @@@"	0.0628036
"Hamlet Cup"	0.0619237
"Group B."	0.0616858
"Buick Classic"	0.0614397
Menifee	0.0614266
"Eastern Division"	0.0604979
Super-G	0.0602653
"NFC Central"	0.0600695
"National League"	0.0599968
"U.S. Amateur"	0.0595546
"Barcelona Games"	0.0594696
"SEA Games"	0.0594491
"Dinah Shore"	0.0591141
NFC	0.0589172
"Top Fuel"	0.058903
"US Open"	0.0588381
"black-eyed Susan"	0.0586496
decathlon	0.0576579
"Emmy Award"	0.057602
Pac-@@	0.0573905
"triple crown"	0.0573671
"San Felipe"	0.0569272
"Le Mans"	0.0568235
"MLS Cup"	0.0565234
"first cup"	0.0564084
Masters	0.056398
"Hong Kong Open"	0.0563403
"Players Championship"	0.056113
"PGA Championship"	0.056075
"SEC East"	0.055725
nightcap	0.0555902
"Canadian Open"	0.0555092
"U.S. Senior Open"	0.0553972
"Central Division"	0.055215
"Japanese Grand Prix"	0.0549042
"Champions Cup"	0.0548867
"British Open"	0.0542812
"South Regional"	0.0542601
"Cat Thief"	0.0539221
"Asian Championships"	0.0536084
NL	0.0534803
"claiming race"	0.0533698
"National Book Award"	0.0532565
"Pan Ams"	0.0530983
"European Cup"	0.0526857
prologue	0.0526641
"NL Central"	0.0526147
breeder	0.0526123
Heptathlon	0.0522293
"Skate America"	0.0520474
"Group A."	0.0519984
Woodward	0.0519227
"Cy Young Award"	0.0518849
"Australian Open"	0.0518558
"LPGA Championship"	0.051766
tourney	0.0517544
Oaks	0.0515647
ACC	0.051465
Iditarod	0.0511754
"ATP Tour World Championship"	0.0509787
"Italian Cup"	0.0509286
"Tour Championship"	0.0506198
"Eclipse Award"	0.0502605
"Atlantic Division"	0.0501419
Giro	0.0500911
medley	0.0499115
"Ecton Park"	0.0493193
"Prime Timber"	0.0488311
"College World Series"	0.04881
"Home Run Derby"	0.0485151
"Kimberlite Pipe"	0.0483844
"first pole"	0.0479623
"European Champions Cup"	0.0477002
"Golden League"	0.0475615
A.L.	0.0474397
"French Open"	0.0473883
"Western Athletic Conference"	0.0472453
steeplechase	0.0471497
"Stockholm Open"	0.046997
"F.A Cup"	0.0469588
claimer	0.0468211
"Big Sky Conference"	0.0464287
"Peter Pan"	0.0462284
"Buick Invitational"	0.0461928
"Bay Hill"	0.0460648
"NFC West"	0.0454252
"Big East"	0.0453693
"NL West"	0.0451685
"World University Games"	0.0446227
superspeedway	0.0443234
"ski jumping"	0.0442182
Wondertross	0.0440713
"AL East"	0.0440294
"Answer Lively"	0.043591
"Atlanta Games"	0.0435409
"League Cup"	0.0433746
"Italian Open"	0.0430963
"NL East"	0.04294
"Maurier Classic"	0.0428988
"Winston Cup"	0.0424764
"Heisman Trophy"	0.0422847
"Gold Glove"	0.042232
"East Regional"	0.0420556
"Division I-AA"	0.0420256
"Little League World Series"	0.041863
Peachtree	0.041676
"Dunhill Cup"	0.0414283
"extra inning"	0.0412611
"first overtime"	0.0412218
"Lemon Drop Kid"	0.0412065
Gelsenkirchen	0.0411414
nit	0.0410728
tie-break	0.0409722
Darlington	0.0408282
raffle	0.0407776
EuroLeague	0.0407686
"National Invitation Tournament"	0.0407432
"Belmont Park"	0.0406873
"Olympic Trials"	0.0406325
"Nissan Open"	0.0405354
"Pan American Games"	0.0404611
"Peach Bowl"	0.0403114
"winner's circle"	0.0401414
))
("Arkansas State" (desc 2453.9) (sims
"New Mexico State"	0.224992
"Ball State"	0.167881
"San Jose State"	0.164102
Lehigh	0.162651
"Fresno State"	0.160981
Villanova	0.152219
"Appalachian State"	0.150858
BYU	0.148673
"Oregon State"	0.147738
Samford	0.140947
"St. Bonaventure"	0.140468
"Southern Mississippi"	0.139535
Hawkeyes	0.138434
DePaul	0.138083
Boilermakers	0.135928
Illini	0.135548
"Utah State"	0.134806
"Brigham Young"	0.133966
"Texas Christian"	0.132743
Karlsson	0.13247
"Colorado State"	0.131828
"Long Beach State"	0.129248
"Mississippi State"	0.128883
"Northern Arizona"	0.127906
"Iowa State"	0.127517
"Oklahoma State"	0.126783
Xavier	0.126554
"North Carolina State"	0.125906
"Jackson State"	0.12323
Rutgers	0.123174
"East Carolina"	0.122963
Clemson	0.12232
UNLV	0.122175
Razorback	0.122103
gamecock	0.121645
Fordham	0.121102
"Scarlet Knights"	0.120807
Starzz	0.119399
SMU	0.119317
bearcat	0.117457
UAB	0.117148
"Wake Forest"	0.11698
"Fighting Irish"	0.116711
NAU	0.116272
Vanderbilt	0.116209
"Saint Louis"	0.116157
"Texas Tech"	0.115854
terrapin	0.115808
Wolfpack	0.115326
"Poul-Erik Hoyer-Larsen"	0.114639
Tulane	0.114236
Jayhawks	0.113449
Gonzaga	0.113433
"UC Santa Barbara"	0.113237
"Washington State"	0.11316
"San Diego State"	0.113018
"Old Dominion"	0.11231
"N.C. State"	0.112002
Sooners	0.11197
"Albert Portas"	0.111947
"Idaho State"	0.111233
"Weber State"	0.110442
Marquette	0.110239
"Kansas State"	0.110128
Cal	0.110014
Evansville	0.109743
"Boston College"	0.109352
"Montana State"	0.108973
"Bowling Green"	0.108712
LSU	0.108536
"Louisiana Tech"	0.108292
"Southwest Missouri State"	0.107671
Tulsa	0.106504
Alabama-Birmingham	0.106204
"Holy Cross"	0.10555
"Peter Rasmussen"	0.105146
Baylor	0.105061
"Arizona State"	0.104059
Hoya	0.103989
"Southern Cal"	0.103634
"Boise State"	0.103426
"Wang Chen"	0.102712
"Phenix City"	0.102026
"Penn State"	0.101724
Pepperdine	0.101488
"Seton Hall"	0.101407
Furman	0.101378
Purdue	0.100352
Siena	0.100068
"Georgia Tech"	0.0999889
"Michigan State"	0.0993312
"Simon Archer"	0.0991316
Huskers	0.0983834
"McNeese State"	0.0983832
"Florida State"	0.0982573
"Xia Xuanze"	0.0972251
Nicol	0.0965948
"Ong Ewe Hock"	0.0957889
"Tatiana Panova"	0.0957831
TCU	0.0940253
"Neville Godwin"	0.0930831
Minutemen	0.0928069
northwestern	0.0919052
"Andreas Vinciguerra"	0.0916896
Supersonics	0.0913021
"Paul Johnson"	0.0911736
"Marcelo Filippini"	0.0909713
"Asa Carlsson"	0.0909318
"Arnaud Di Pasquale"	0.089569
"Partizan Belgrade"	0.0895651
"Xavier Malisse"	0.0893293
"Nicole Pratt"	0.0891607
"Christian Ruud"	0.0891033
Louisville	0.0890864
Hofstra	0.0889456
"Louisiana State"	0.0880838
"Renzo Furlan"	0.0876959
Wolverine	0.0876138
"Tar Heels"	0.0875873
ou	0.08721
Stephenville	0.0869764
Cornhusker	0.0869576
"Sarah Pitkowski"	0.0869438
"Zhang Ning"	0.0866515
gopher	0.086556
"Arnaud Clement"	0.0864371
Buffaloes	0.0856406
lumberjack	0.0856349
"Crimson Tide"	0.0854047
"Brian Moehler"	0.0850299
Alabama	0.0848014
Rueter	0.0846193
"Georgia Southern"	0.0845545
"Carlos Costa"	0.0842107
"Yang Ying"	0.0841817
Stanford	0.0839362
"Virginia Tech"	0.0838784
badger	0.0838368
Hermanson	0.0836344
"Qin Yiyuan"	0.0836181
BUCCANEER	0.0835717
UConn	0.083501
"Younes El Aynaoui"	0.0833818
Kentucky	0.0833074
MetroStars	0.0832774
"Central Florida"	0.0829575
"Galo Blanco"	0.0826411
"Adrian Voinea"	0.0826279
"Nathalie Dechy"	0.0826214
Georgetown	0.0824091
cougar	0.0823009
Rattler	0.0820486
"Los Angeles Galaxy"	0.0816863
ASU	0.0816618
Hendrawan	0.081647
"Ji Xinpeng"	0.0814751
CSUN	0.0814301
Valparaiso	0.081389
"New York Liberty"	0.0812413
Waldner	0.0811596
"Ohio State"	0.0811367
"Pedro Astacio"	0.0810907
Vols	0.0807844
"Magdalena Maleeva"	0.0806124
UMass	0.0801641
"Arnaud Boetsch"	0.0800786
"Cal State Fullerton"	0.0797282
"Red Raiders"	0.0797259
"Nevada-Las Vegas"	0.0796674
"Chicago Fire"	0.079646
Oklahoma	0.0796456
"Joannette Kruger"	0.0795571
USC	0.0794748
"Franco Squillari"	0.0793525
outshot	0.079278
"blue devil"	0.0791849
Sanchez-Vicario	0.0791192
buckeye	0.0791121
OSU	0.079093
"Andrew Ilie"	0.0790761
"Notre Dame"	0.0790328
"Judith Wiesner"	0.0790293
"Naoko Sawamatsu"	0.0789815
Oregon	0.0789599
Nebraska	0.0788786
"Dai Yun"	0.078862
"Juan Carlos Ferrero"	0.0788544
"Thomas Johansson"	0.0786365
Iona	0.0784507
"Phoenix Mercury"	0.0783292
Bruguera	0.0781274
"Jerome Golmard"	0.077874
Gators	0.0778273
"Andrei Pavel"	0.0776468
Pitt	0.0773753
"Budi Santoso"	0.0771489
"Vincent Spadea"	0.0770485
Timberwolves	0.0770453
"Hernan Gumy"	0.076703
Longhorn	0.07667
))
(Arkin (desc 826.416) (sims
Ruehe	0.123168
Liggett	0.10336
Maurizi	0.101021
Singson	0.0925138
Orban	0.092003
Kasoulides	0.0895344
Sutiyoso	0.0885148
Rais	0.0876067
Advani	0.0848482
McGuinness	0.082372
Tarrin	0.0811659
Velayati	0.0797845
Malu	0.0793114
Zuma	0.078596
DeFrantz	0.0783382
Demaci	0.078202
Yastrzhembsky	0.0780553
Storin	0.0771957
Azad	0.0769054
Mackey	0.0755905
Siegel	0.0754579
Fernandes	0.0754325
Manley	0.074785
"Martin Luther King III"	0.0743166
Siazon	0.0736369
Jayakumar	0.0731975
Guei	0.0724468
Piot	0.0722556
Aventajado	0.0721485
Moakley	0.0715643
Flanagan	0.0714399
Lacroix	0.0703817
"administration official"	0.0698181
Ebert	0.0697573
Lehane	0.0694162
Rubenstein	0.0693552
Pustovoitenko	0.0691436
"Central Bureau of Statistics"	0.0691141
Kato	0.0690219
Hiddink	0.068859
Rylander	0.0688461
Cashman	0.068746
Goff	0.0685262
Schaffer	0.0684516
Villar	0.0683349
Browne	0.068128
Harmoko	0.0680029
Slatkin	0.0678235
Alatas	0.0672965
Eizenstat	0.0662706
Beazley	0.0660165
Orton	0.0659966
Nemtsov	0.0659564
Epstein	0.0656408
Rudman	0.0653296
Sha	0.0651401
McInnis	0.0651087
Guterres	0.0649771
Nzo	0.0649584
Lurie	0.064839
Ikimi	0.064829
Yazdi	0.0644756
Juma	0.0639706
Modise	0.0639083
Schrempp	0.0635213
Krasniqi	0.063519
Neeman	0.0634959
Scharping	0.0633757
Musa	0.0633412
Hsieh	0.0632964
Waigel	0.0632215
Okada	0.0630501
"de Charette"	0.0629439
Rothenberg	0.0626749
Napolitano	0.062527
Rosen	0.0623069
"Defense Agency"	0.0616629
Ota	0.0614603
"Lee Hsien Loong"	0.0613327
Wiseman	0.0611025
Ebersol	0.0608846
Ruthardt	0.060849
Muoi	0.0608052
Zambrano	0.0607695
Cooley	0.0607594
Schmid	0.0605528
Claes	0.0602447
Wilhelm	0.0597905
kraut	0.05979
Karimov	0.0597699
Bambang	0.0596347
Nateq-Nouri	0.0594587
"weather forecaster"	0.0592982
Wendt	0.059297
"Richie Phillips"	0.0592437
Rifkind	0.0592347
"Heather Locklear"	0.0591226
Boueiz	0.0589821
Tarawneh	0.0587068
Hahn	0.0585545
Sumaye	0.058543
Gardiner	0.0583504
Baz	0.0582648
Reinsdorf	0.0582131
Heyward	0.0581739
"William Kristol"	0.0579826
Mustafa	0.0578571
Marulanda	0.0577064
Michel	0.0574496
Schoenfeld	0.0572985
Reimer	0.0572889
Kesri	0.0572417
Kyl	0.057197
Gomes	0.0571919
Carmichael	0.0570716
spokespeople	0.0570698
McMullen	0.0570367
Magaziner	0.057009
Weldon	0.0568331
Havelange	0.0567814
Insulza	0.05675
Kyprianou	0.0565739
Naumann	0.0564186
Wenger	0.056391
Bondevik	0.0563025
Devine	0.0562959
"ticket agent"	0.0562922
Nasrallah	0.0562644
Romer	0.0561626
McManus	0.0561601
Blazevic	0.0561479
Strauss-Kahn	0.0560801
Hamid	0.0560225
"Joint Commission"	0.0559959
Hitchens	0.0559141
Condit	0.0557617
Moratinos	0.0557595
Tsang	0.055665
Ruben	0.0552542
Kessler	0.0551166
Rodionov	0.0549282
smallholder	0.0546773
Saleh	0.0546733
Zucker	0.0545066
Finney	0.0544501
PNP	0.0544444
Seleznyov	0.0544067
"National Sports Council"	0.0542981
Carollo	0.0542412
Harman	0.0542344
Schreiber	0.0542326
Finkelstein	0.0542137
Lehrer	0.053864
McGowan	0.0538023
Myhrvold	0.0537508
Eran	0.0536467
weatherman	0.0535714
Margolis	0.053531
Kline	0.0534668
Hakim	0.0534473
Bliley	0.0534041
Nasrin	0.0533869
Ghalib	0.0533698
Thayer	0.0532752
Layden	0.0532499
Axworthy	0.0531485
"Israeli Foreign Ministry"	0.0530237
Bakaly	0.0529664
Barbour	0.0529377
Iglesias	0.0529153
Vasile	0.0528857
Brittan	0.0528261
Leahy	0.0527586
Gosper	0.0527176
"De Klerk"	0.0526652
Lundberg	0.0524044
Birnbaum	0.0523389
Whipple	0.0523368
Dungy	0.0523227
Kajiyama	0.0522328
fineness	0.0522223
Bernabe	0.0522085
Schiffer	0.0522066
"little leaguer"	0.0522018
"economic expert"	0.0521718
Bratton	0.0521407
Fuhrman	0.0521319
Inman	0.0521319
Klestil	0.0520564
Whitsitt	0.0520437
Foxx	0.0520211
Keitel	0.0519295
Rossotti	0.0516526
Wheaton	0.0516051
Sorensen	0.0515104
guo	0.0514359
Squier	0.0514206
Maslyukov	0.0513824
Ivester	0.0513728
Jia	0.0512932
))
("Arlen Specter" (desc 7380.64) (sims
"Olympia Snowe"	0.304715
"John Chafee"	0.271092
"Kay Bailey Hutchison"	0.246349
"James Jeffords"	0.243436
"Rick Santorum"	0.240581
"Susan Collins"	0.24047
"Fred Thompson"	0.239403
"Mitch McConnell"	0.236019
"George Gekas"	0.231566
"Mike DeWine"	0.228665
"Curt Weldon"	0.225274
"Connie Mack"	0.22178
"Bill Frist"	0.221377
"Slade Gorton"	0.215261
"Gordon Smith"	0.199504
"Chuck Hagel"	0.197159
"Richard Shelby"	0.19709
"Olympia J. Snowe"	0.196523
"Charles Grassley"	0.193612
"Jon Kyl"	0.187464
"John Ashcroft"	0.186839
"Tom Harkin"	0.184731
"Patrick Leahy"	0.173735
"Richard Lugar"	0.173245
"Jim Jeffords"	0.172227
"Peter Fitzgerald"	0.172038
"Judd Gregg"	0.171852
"Sam Brownback"	0.170879
"Paul Coverdell"	0.170363
"John Warner"	0.169425
"Pete Domenici"	0.168737
"Phil Gramm"	0.166963
"Orrin Hatch"	0.166264
"Robert Byrd"	0.165573
"Bob Graham"	0.16476
"Lincoln Chafee"	0.164194
"William Roth"	0.16352
"Paul Wellstone"	0.161965
"George Voinovich"	0.156998
"John Breaux"	0.156358
"Spencer Abraham"	0.156125
"Bob Smith"	0.153163
"Dianne Feinstein"	0.151916
"Strom Thurmond"	0.151352
"Dan Coats"	0.151055
"Ted Stevens"	0.151039
"Robert C. Byrd"	0.146251
"Don Nickles"	0.145256
"Russell Feingold"	0.141979
"Jesse Helms"	0.141694
"Kit Bond"	0.139807
"Christopher Dodd"	0.139406
"Edward Kennedy"	0.137846
"Carl Levin"	0.136946
"John Kerry"	0.136383
"Dan Burton"	0.13266
"Charles Schumer"	0.130289
"Rod Grams"	0.128627
specter	0.128545
"Frank Lautenberg"	0.12842
"Dick Durbin"	0.127325
"Ben Nighthorse Campbell"	0.127317
"Robert Torricelli"	0.127155
"John Danforth"	0.125569
"Tom Campbell"	0.123197
"Warren Rudman"	0.12224
"Larry Craig"	0.120717
"Robert Bennett"	0.119701
"Charles Robb"	0.119464
"Mark Foley"	0.117533
"Ron Wyden"	0.117319
"John McCain"	0.116779
"Frank Murkowski"	0.116757
"Joseph I. Lieberman"	0.116399
"Richard Durbin"	0.115413
"Joseph Biden"	0.115299
"Sam Nunn"	0.115164
"Lauch Faircloth"	0.114909
"Edward M. Kennedy"	0.11481
"Tom Ridge"	0.113831
"Henry Hyde"	0.111844
"Wayne Allard"	0.111488
R-Utah	0.111228
"Ernest Hollings"	0.110391
"Daniel Patrick Moynihan"	0.109572
"Jeff Sessions"	0.107914
"Craig Thomas"	0.107904
"Max Cleland"	0.107136
"Barbara Boxer"	0.105663
"Tom Daschle"	0.10532
"Patty Murray"	0.10472
"Herb Kohl"	0.101881
"Max Baucus"	0.101856
"Tim Hutchinson"	0.101524
"Bob Kerrey"	0.100943
"Trent Lott"	0.100737
"Lamar Smith"	0.100523
"Joseph Lieberman"	0.100396
"Christopher Shays"	0.100189
"J.C. Watts"	0.0985103
"Russ Feingold"	0.0981729
"Bill Archer"	0.0975094
"James Inhofe"	0.0973059
"Howard Baker"	0.0972698
"John Kasich"	0.0964139
R-Vt.	0.0959712
"John Edwards"	0.0952661
"Bob Barr"	0.0942007
"George Mitchell"	0.0938608
"Bill McCollum"	0.0932454
"Kent Conrad"	0.0919574
"Christopher Smith"	0.0918062
R-Maine	0.091362
"Pat Roberts"	0.0899369
"Lindsey Graham"	0.0898247
"Jim Bunning"	0.0896816
"Thad Cochran"	0.0889516
"Conrad Burns"	0.0885493
"Gary Bauer"	0.0885243
Grassley	0.0876286
"Tillie Fowler"	0.0869955
R-Pa.	0.0866819
"majority leader"	0.0865055
Helms	0.0858224
"Ted Kennedy"	0.0854533
"Alfonse D'Amato"	0.0850152
"Alan Keyes"	0.0842207
"Harry Reid"	0.0839039
"Joe Lieberman"	0.0829964
"Charlie Norwood"	0.0827195
"Gary Hart"	0.0824846
"Jim Gilmore"	0.0820929
"Charles E. Schumer"	0.0815988
"Mike Foster"	0.0811721
congressmen	0.0807473
"Linda Smith"	0.0805891
Gramm	0.0800448
"Evan Bayh"	0.0784835
McConnell	0.0784777
"Christopher Cox"	0.0784511
"Dan Miller"	0.0781723
"John Engler"	0.0781701
"George Pataki"	0.0776931
"Bill Thomas"	0.0776356
"Frank Keating"	0.0776085
R-Miss.	0.0771549
"Jim Kolbe"	0.0768919
"Christie Whitman"	0.0766143
"Mary Landrieu"	0.0763616
"Dale Bumpers"	0.0758019
"Lamar Alexander"	0.0757223
"Arizona Republican"	0.075431
Lott	0.0753807
R-Ariz.	0.0749481
"Tom DeLay"	0.0739164
"John Cornyn"	0.0735265
"Majority Whip Tom DeLay"	0.0730743
"Bob Franks"	0.0727086
Gorton	0.0725977
"John Conyers"	0.0724183
"John Boehner"	0.0722984
"Byron Dorgan"	0.0721256
Hayworth	0.0716054
"Christine Todd Whitman"	0.0709976
D-Fla.	0.0708819
Hyde	0.0708243
R-Tenn.	0.0705132
"Tommy Thompson"	0.0704854
"Barry Goldwater"	0.0699856
"Robert Smith"	0.0699696
"House Majority Whip Tom DeLay"	0.0698618
Chafee	0.069438
Inhofe	0.0693871
R-Ohio	0.0691965
"Blanche Lincoln"	0.0691562
R-Iowa	0.0687198
"John Dingell"	0.0686395
"Dennis Vacco"	0.0683159
"Jane Hull"	0.0678457
Feingold	0.0674232
"Asa Hutchinson"	0.067028
Santorum	0.0668733
D-Vt.	0.0661254
Ashcroft	0.0659136
Councilman	0.0656603
"Mike Leavitt"	0.065555
Leahy	0.0655025
"John G. Rowland"	0.0653329
Harkin	0.0650634
hatch	0.0645786
"Orlando Mercado"	0.0643192
"William Cohen"	0.0640861
R-Va.	0.0640403
"George Miller"	0.0639272
"Mark Sanford"	0.0637826
"Lloyd Bentsen"	0.0636837
Weldon	0.0636353
Kyl	0.0632887
"Paul Cellucci"	0.0632454
"Steve Forbes"	0.0631412
))
(Arlene (desc 1354.44) (sims
Josephine	0.101095
Kathy	0.0983148
Bonnie	0.0978863
"Leigh Ann"	0.0941966
Eileen	0.0940932
"Azizah Ismail"	0.0913369
Marlene	0.0875838
Roberta	0.0852005
Patti	0.0848545
Monique	0.0845697
Terri	0.0843711
Marcia	0.0840297
Juanita	0.0839787
Rhonda	0.0814247
alicia	0.0812893
Debra	0.0800623
Melinda	0.0800356
Olga	0.0798912
Deborah	0.0796316
"Michelle Williams"	0.0791728
Thelma	0.0777195
Denise	0.0760109
Lynne	0.0756396
Sheila	0.0754939
Gail	0.0754112
Brenda	0.0731204
Dolores	0.0728701
Sylvia	0.0727568
Phyllis	0.072723
Polly	0.0725542
Miriam	0.0722273
Evelyn	0.0718895
Connie	0.0716686
colleen	0.0713656
Yarmila	0.0712144
Irina	0.0708437
Marian	0.0704811
Katherine	0.0704017
Suzanne	0.0701566
Irene	0.0696864
"Hurricane Bonnie"	0.0695302
Kristin	0.0693474
Patricia	0.0690762
Lori	0.0686544
Jacqueline	0.0681802
Annette	0.0681311
Tracey	0.0676875
Cherie	0.0675691
JoAnne	0.0672251
Billie	0.0670254
Millie	0.0664424
Janice	0.0663609
Pam	0.0661853
Doris	0.065914
"Denis Leary"	0.0655119
Alberto	0.0654891
Marilyn	0.0650811
Kathleen	0.0648713
Teresa	0.0644234
Darlene	0.0642818
Olivia	0.0641755
Eleanor	0.0641345
hazel	0.0640501
Esther	0.0639857
Beatrice	0.0638853
"Patsy Ramsey"	0.0635483
Edith	0.0634924
Susie	0.0632
Cheryl	0.0629381
Maureen	0.062812
Rita	0.0626019
Vicki	0.0623204
Stephanie	0.0621122
Bianca	0.062028
Frances	0.0619426
Naomi	0.0617598
Elaine	0.0617124
Cynthia	0.0617081
Shirley	0.0615
Peggy	0.0612541
Norma	0.0611767
Debbie	0.0611475
Pauline	0.0607055
Marguerite	0.0605653
Theresa	0.0604683
Michele	0.0600403
Hadassah	0.0599991
Renee	0.0594299
Lois	0.0594041
Marta	0.0593757
Valerie	0.0591337
Marge	0.0591114
Camille	0.0590252
Debby	0.0590196
Beth	0.0588589
Vera	0.0587985
Judith	0.0587558
Heidi	0.0585666
Laurie	0.0585525
Jill	0.0577452
Sonia	0.0573312
Lucia	0.0571607
Sheryl	0.057053
"Wang Yeping"	0.0563995
Lucille	0.0563601
"James Woods"	0.0562895
Janet	0.0561227
Liz	0.0560662
Margaret	0.0556461
Christine	0.0554926
Alonzo	0.0554389
Cindy	0.0554273
Cathy	0.0554225
"Lauren Bessette"	0.0553869
Natalie	0.0552854
Lydia	0.0551032
Wanda	0.0550631
Plunkett	0.0550087
Helen	0.0546871
"Graca Machel"	0.0546311
becky	0.0544001
Ethel	0.05431
Gillian	0.0539449
Sara	0.0539107
gloria	0.0537666
Edna	0.0536059
JAT	0.0535582
Ida	0.0533256
Tammy	0.0531917
Dorothy	0.052424
Kimberly	0.0522163
Audrey	0.0521548
Sally	0.0518241
Pamela	0.0516157
"Natasha Richardson"	0.0513784
Sandra	0.0513712
Claire	0.0510271
"Carolyn Bessette Kennedy"	0.0508765
Andrea	0.0508477
Betty	0.0505619
Carla	0.0505509
Clara	0.0503724
Donna	0.0503008
"Lucy Edwards"	0.0502686
"El Hage"	0.0502164
Toni	0.0501858
Karenna	0.0496109
Helene	0.0494438
Nikki	0.0494338
Carolyn	0.0493153
Kathryn	0.0485418
Marianne	0.0484622
Beverly	0.0483917
Jackie	0.0482049
Bret	0.0481023
Agnes	0.0480923
Betsy	0.0479274
"Queen Noor"	0.0477931
Marie	0.0477846
Diane	0.0472902
Danielle	0.0472877
Louise	0.0472195
Alexandra	0.0471892
"Halle Berry"	0.0471528
Leah	0.0465318
Paulina	0.0463606
Nina	0.0462731
Marinovich	0.0462589
"Yoko Ono"	0.0462564
Alison	0.0458181
Colette	0.0457017
Lenny	0.0453688
Luethke	0.0450087
Einhorn	0.0443082
Vivian	0.0441639
"Jacqueline Kennedy Onassis"	0.0441423
Jeanne	0.0440822
Anita	0.0437943
"Winnie Madikizela-Mandela"	0.0437537
Dora	0.0433698
Brooke	0.0428534
Eva	0.0428364
Natasha	0.0428202
Gayle	0.0427999
Ronnie	0.0426977
Jenny	0.0422122
Kok	0.0418737
Ellen	0.0417748
Connor	0.0412645
Erica	0.0411898
Claudia	0.0409945
Ella	0.0408547
Nicole	0.0406979
Weinstein	0.04059
"Frances McDormand"	0.0404397
Rosie	0.0403988
Kruger	0.0403096
"Syracuse University"	0.0402264
Jamie	0.0400208
))
(Arlington (desc 19963.5) (sims
"Fort Worth"	0.14108
Austin	0.135425
Minneapolis	0.119716
"El Paso"	0.118538
"Overland Park"	0.115149
Houston	0.11317
Richmond	0.112702
Phoenix	0.112331
Greenville	0.111223
"San Antonio"	0.110981
Alexandria	0.108694
Cambridge	0.108497
Fairfax	0.108096
LAKEWOOD	0.106528
"St. Petersburg"	0.106441
Marietta	0.105987
Baltimore	0.104848
Honolulu	0.104091
Lubbock	0.103733
"West Palm Beach"	0.103592
Plano	0.103466
Pasadena	0.103465
Wilmington	0.103101
Albany	0.102619
"San Diego"	0.102559
midland	0.102067
Newark	0.101933
Dallas	0.101672
Norfolk	0.101483
"Los Angeles"	0.101264
"Round Rock"	0.100304
"Kansas City"	0.100198
Westfield	0.100087
Denver	0.10004
Reston	0.0999429
Columbus	0.0993567
Memphis	0.0987046
"San Francisco"	0.0983766
Chicago	0.0981533
Brookline	0.0981246
Greenwich	0.0981126
"Oklahoma City"	0.0976095
"Woodland Hills"	0.097585
Portsmouth	0.0974641
Chappaqua	0.0973644
Galveston	0.0968592
"Palo Alto"	0.0965133
Boston	0.0964305
Scottsdale	0.0964285
Nashville	0.0963331
"East Orange"	0.0960531
Yonkers	0.095896
Seattle	0.0953422
Longview	0.0951555
Portland	0.095147
"New Orleans"	0.0951052
Lexington	0.0944262
"Virginia Beach"	0.0943811
Birmingham	0.0943737
Milwaukee	0.0934685
"Santa Monica"	0.0933591
Irving	0.0930702
"Las Vegas"	0.0930327
"Grand Prairie"	0.0930137
Dayton	0.092931
Medford	0.0921241
Tempe	0.0921017
"New Haven"	0.0920879
Atlanta	0.0919926
Englewood	0.0917607
"Boynton Beach"	0.0915182
Abilene	0.0908606
Tucson	0.0906513
Springfield	0.0905402
Somerville	0.0902467
Worcester	0.0901215
Bethesda	0.0899109
Encino	0.089882
Chatsworth	0.0898416
Stamford	0.0897951
Bedford	0.0897883
Framingham	0.089776
Madison	0.0897732
"St. Louis"	0.0895754
"New Rochelle"	0.0894797
"Wichita Falls"	0.0890625
Omaha	0.0889589
Tampa	0.0885591
Philadelphia	0.0885203
Amarillo	0.0883195
Decatur	0.0882327
Brownsville	0.0879052
Glendale	0.087889
Laredo	0.0876717
"Arlington National Cemetery"	0.0875417
Beaumont	0.0873587
Sacramento	0.0872573
Morristown	0.0868783
"White Plains"	0.0866898
Jasper	0.0865008
Hartford	0.0863919
"Chapel Hill"	0.0860761
"Van Nuys"	0.0858918
Hillsboro	0.0858696
Detroit	0.0858319
Lawrenceville	0.0858178
Charlotte	0.0858137
"New York"	0.0857484
Burlington	0.0856049
Raleigh	0.0854877
Quincy	0.0854707
Albuquerque	0.0853569
Cleveland	0.0853503
Charlottesville	0.08516
"Jersey City"	0.084828
Nacogdoches	0.0847383
"Silver Spring"	0.084697
"Little Rock"	0.0845718
"Des Moines"	0.0842803
Alpharetta	0.0839517
Evanston	0.0839392
"Corpus Christi"	0.0837063
Brooklyn	0.0834629
Louisville	0.0832898
Pittsfield	0.0832238
Oakland	0.082915
"San Jose"	0.0825788
Falmouth	0.0825401
Cincinnati	0.0824497
Watertown	0.0823914
Tarzana	0.0821107
Waltham	0.0820648
Bloomington	0.0819557
Orlando	0.0817348
Spokane	0.0816837
"Lake Worth"	0.0816174
Miami	0.0813633
Rochester	0.0813393
"St. Paul"	0.0811987
Northampton	0.0811293
bethel	0.0809035
Montreal	0.0808023
Clifton	0.0807452
Newton	0.0807342
Lancaster	0.0807018
Dublin	0.0805644
"Saratoga Springs"	0.0801781
"Fairfax County"	0.0801586
Fairfield	0.0801316
Providence	0.079978
Denton	0.0799244
"College Station"	0.0798693
"Union City"	0.0798485
Palmdale	0.0796861
Indianapolis	0.0796835
"Fort Lauderdale"	0.0793881
Toronto	0.079239
Akron	0.0789562
Huntsville	0.0789365
Braintree	0.0786028
"Beverly Hills"	0.0785477
Lynchburg	0.0783205
"Mexico City"	0.0781536
Stockbridge	0.0781479
TRENTON	0.0779815
"Thousand Oaks"	0.0777913
TALLAHASSEE	0.0776672
Pittsburgh	0.0776635
Chatham	0.0774353
Bethlehem	0.077373
"Palm Beach Gardens"	0.0773096
Brockton	0.0768396
"New Jersey"	0.0767694
McLean	0.0766934
Concord	0.0766798
"Newport Beach"	0.076455
"Tel Aviv"	0.0762459
Buffalo	0.0762297
Sarasota	0.0760479
Fredericksburg	0.0760086
"Sherman Oaks"	0.0759317
"Gaza City"	0.075927
Hanover	0.0758747
"Studio City"	0.0758114
Amherst	0.0756995
"Salt Lake City"	0.0755041
ASHEVILLE	0.0754695
Wellesley	0.0752869
"Southern California"	0.0752407
Ridgewood	0.075127
Roanoke	0.0750665
Charleston	0.0750005
"New York City"	0.0748849
"North Hollywood"	0.0748211
Tulsa	0.0745709
"Santa Rosa"	0.0744494
Duluth	0.0744383
"Boca Raton"	0.074341
"San Marcos"	0.0741982
"Walnut Creek"	0.073969
))
("Arlington National Cemetery" (desc 3436.24) (sims
cemetery	0.135276
"Westminster Abbey"	0.13233
Arlington	0.0875417
"National Press Club"	0.0792084
Monticello	0.0778849
"Riverside Church"	0.0774603
"Fort Benning"	0.0766335
"Yasukuni Shrine"	0.0764955
"George Mason University"	0.075514
"Ritz-Carlton Hotel"	0.0710786
"garbage dump"	0.0706146
Cathedral	0.0705447
graveyard	0.0682556
"Yad Vashem"	0.0643523
"First Baptist Church"	0.063966
"Shrine Auditorium"	0.063692
"Dulles International Airport"	0.0634369
"St. Patrick"	0.0620781
"Andrews Air Force Base"	0.0620622
"Ben-Gurion Airport"	0.0604486
"Windsor Castle"	0.0604344
Rabat	0.0551779
"navy yard"	0.0550748
"District @@"	0.055023
"Yucca Mountain"	0.0547852
"U.S. Naval Academy"	0.054513
"Waldorf-Astoria Hotel"	0.0542984
"Hong Kong Convention and Exhibition Center"	0.0538676
"Colonial Williamsburg"	0.052592
Crypt	0.0503378
"funeral home"	0.0501765
Casper	0.0501344
"Hofstra University"	0.0500835
"New Hampshire International Speedway"	0.0496264
"Buckingham Palace"	0.0491936
"Everglades National Park"	0.0490123
"Blair House"	0.0490055
Cooperstown	0.0488295
"Grand Canyon National Park"	0.0487611
Panmunjom	0.0486968
Auschwitz	0.0486344
"Presidential Palace"	0.0484619
"Union Station"	0.0483642
"Lincoln Memorial"	0.0478832
"Episcopal Church"	0.0473277
"Mount Vernon"	0.0472629
"Diamond Mountain"	0.0469848
"Yellowstone National Park"	0.0469802
mausoleum	0.0468612
Basilica	0.0457384
"U.S. Capitol"	0.0456665
"International Badminton Federation"	0.0448939
"rest day"	0.0444577
"Sheraton Hotel"	0.0444388
"Hong Kong International Airport"	0.044025
guesthouse	0.043891
"Wimbledon Tennis Championships"	0.0434529
"Secretary General Esmat Abdel-Meguid"	0.0424978
Basle	0.0422443
"dress uniform"	0.0421513
"Beijing University"	0.0419922
http://www	0.0419683
"Freedom Forum"	0.0418823
Stonehenge	0.0408839
"Parliament House"	0.0408214
Greenbrier	0.0404051
"Entebbe International Airport"	0.0401319
))
(arm (desc 186014) (sims
leg	0.161296
weapon	0.157578
hand	0.145507
shoulder	0.144416
wrist	0.141382
neck	0.13084
elbow	0.12956
forearm	0.128017
knee	0.126666
arms	0.122397
finger	0.118143
thigh	0.116737
chest	0.114867
ankle	0.112504
body	0.110277
"right hand"	0.110038
back	0.10944
limb	0.109308
head	0.108142
gun	0.107695
abdomen	0.104821
hip	0.101365
"left hand"	0.0985461
face	0.0972469
Foot	0.0947058
firearm	0.0941474
stomach	0.0939248
thumb	0.0938991
muscle	0.0933513
weaponry	0.0895439
eye	0.0891536
ear	0.087698
equipment	0.0860923
ammunition	0.0853869
nose	0.0852381
jaw	0.0850716
wing	0.0845831
"nuclear weapon"	0.0837207
fist	0.0817221
forehead	0.0816934
"index finger"	0.0814722
Chin	0.080853
toe	0.080449
torso	0.0803131
unit	0.0780097
armament	0.0775229
missile	0.0773507
rifle	0.0765291
hair	0.0760916
heart	0.0759967
mouth	0.0758554
feet	0.0755661
cheek	0.0754903
explosive	0.0754493
goods	0.0747171
branch	0.0740883
groin	0.0739069
car	0.0737584
spine	0.0731868
bone	0.0728166
rib	0.0723947
drug	0.0722572
glove	0.0721862
narcotic	0.0721443
tank	0.0716483
calf	0.0713061
"machine gun"	0.0710922
vehicle	0.0707958
lip	0.0705485
supply	0.0700205
handgun	0.0699811
material	0.069819
throat	0.0697951
lung	0.0687809
brain	0.0681647
ball	0.0681556
bag	0.0673951
force	0.0673032
hamstring	0.0668578
part	0.0665549
tail	0.065811
skin	0.0653096
munition	0.0648541
product	0.0645332
aircraft	0.0643893
side	0.0642561
system	0.0641696
operation	0.0640092
skull	0.0639763
breast	0.0639308
bomb	0.0638457
technology	0.0637807
tongue	0.0636326
pistol	0.0634028
power	0.063065
cigarette	0.0625059
business	0.0624986
subsidiary	0.0624847
food	0.0624265
money	0.0623101
aid	0.0620554
tool	0.0619833
piece	0.0619361
teeth	0.0618515
cloth	0.0618049
diamond	0.0617126
troop	0.0615347
cocaine	0.0613589
bat	0.0612838
agency	0.0610419
ability	0.0606505
stick	0.0606121
fuel	0.060472
group	0.0604303
division	0.0601431
waist	0.0601423
injury	0.0600929
shirt	0.0599295
wall	0.059834
helmet	0.0597969
chemical	0.0597519
camera	0.0596749
Computer	0.0595596
fund	0.0595359
service	0.0595354
one	0.0594436
Grenade	0.0592481
tendon	0.0590904
machine	0.0590453
wound	0.0589023
frame	0.0586687
program	0.0584394
tree	0.0584036
truck	0.0582713
structure	0.0581367
belly	0.0580234
voice	0.0578592
activity	0.0578549
flag	0.0576982
"spare part"	0.0576846
chair	0.0576673
company	0.0572334
engine	0.0571897
rope	0.0568912
item	0.0568688
trunk	0.0568191
box	0.0568071
support	0.0567234
assistance	0.0566789
office	0.0566005
artillery	0.0565256
asset	0.056508
plane	0.0564161
tire	0.0563499
hardware	0.0561721
organization	0.0561418
helicopter	0.0561364
some	0.0557685
oil	0.0555225
house	0.0555068
device	0.0554948
ring	0.0554503
bullet	0.05542
cash	0.0553692
talent	0.0553458
property	0.0552497
facility	0.0551524
shoe	0.0550984
seat	0.0550981
man	0.055061
heroin	0.0549477
strength	0.0549421
capability	0.0549267
air	0.0548441
affiliate	0.0547846
fighter	0.0546311
boat	0.0545867
water	0.0545527
front	0.0545499
medicine	0.0544566
machinery	0.0543947
bed	0.0543733
blood	0.0542204
commodity	0.0539948
Defense	0.0539577
palm	0.0539079
organ	0.0538903
shotgun	0.0538644
instrument	0.0537946
rod	0.053676
right	0.053638
rocket	0.053628
resource	0.0535665
problem	0.0535118
control	0.0535043
hat	0.053481
door	0.053426
building	0.0534072
Clothing	0.0533341
soldier	0.0532685
))
("arm's length" (desc 1662.39) (sims
Ritz-Carlton	0.0730322
"Ritz-Carlton Hotel"	0.0690698
Clinton-Lewinsky	0.0677355
U.S.-Russian	0.0587792
up-and-down	0.0564324
"Wye Plantation"	0.0549193
"World Figure Skating Championships"	0.0547042
"National Museum"	0.0547008
AWOL	0.0546727
Sino-African	0.054173
Panmunjom	0.0538291
"Waldorf-Astoria Hotel"	0.0537845
"Dorothy Chandler Pavilion"	0.0519682
"National Press Club"	0.0512983
"University of Zimbabwe"	0.0506514
"Shrine Auditorium"	0.0500155
east-west	0.0496518
Russian-U.S.	0.0481758
U.S.-Japan	0.0480443
U.S.-China	0.0476992
"Jomo Kenyatta International Airport"	0.0465687
"Parliament House"	0.0458369
Greenbrier	0.0456548
Hasselbeck	0.0455659
halfcourt	0.045515
midcourt	0.0454379
"U.N. Headquarters"	0.0453516
"Atlanta History Center"	0.044231
"Wye River"	0.0442141
"assembly hall"	0.0441551
"Lake Tahoe"	0.043864
prodding	0.0435358
demagogue	0.0435305
"America West Arena"	0.043419
"Wembley Stadium"	0.0433959
"Gulfstream Park"	0.0433836
Highbury	0.043078
"Council on Foreign Relations"	0.0430228
Uzi	0.0420103
"University of New Hampshire"	0.0419444
"over @"	0.0418084
Drumcree	0.0415952
"about @@ degrees"	0.0415148
"Camp Pendleton"	0.041493
"Plaza Hotel"	0.0413211
"investment banking"	0.0411506
"Windsor Castle"	0.0408493
"Sheraton Hotel"	0.0405424
"Westminster Abbey"	0.0404877
"Holiday Inn"	0.0402069
))
(arm-twisting (desc 2033.44) (sims
horse-trading	0.0995712
brinkmanship	0.0879743
haggling	0.0852189
prodding	0.0827806
soul-searching	0.0802963
persuasion	0.0791976
deal-making	0.0777992
brinksmanship	0.0715116
ribbing	0.0701936
"damage control"	0.0692547
vote-buying	0.0671493
"detective work"	0.0663118
chicanery	0.0645472
intercession	0.064466
"ad blitz"	0.0630027
maneuverings	0.0623237
fisticuffs	0.0619843
gibe	0.0611083
wrangling	0.0610921
bargaining	0.0601657
"trial and error"	0.0600553
slipup	0.0594633
blackmail	0.0591065
recruiting	0.0576204
favoritism	0.0559085
finger-pointing	0.0558253
filibuster	0.0556479
"name calling"	0.0549679
theatrics	0.0548207
hand-wringing	0.0541841
"manual labor"	0.0533031
bickering	0.0532947
belt-tightening	0.0530877
"character assassination"	0.0526818
acrimony	0.0512753
"invasion of privacy"	0.051053
recrimination	0.0506731
frill	0.0503187
predation	0.0499355
"price cutting"	0.0496998
jostling	0.0496844
mischief	0.0495162
miscalculation	0.0487567
flak	0.0485217
self-criticism	0.0484554
in-jokes	0.0481096
posturing	0.0478915
"district line"	0.0477935
"mental ability"	0.0476724
Flattery	0.047548
hedging	0.047503
foot-dragging	0.0472549
swapping	0.0471959
maneuvering	0.047154
cannibalism	0.047074
zingers	0.0467347
headcount	0.0466092
realignments	0.0463528
u-turn	0.0462188
gamesmanship	0.0461517
calisthenics	0.0461489
dictation	0.0461253
"trial balloon"	0.0459225
coercion	0.0456537
"sleight of hand"	0.0452737
"cumulus cloud"	0.0452266
oligarchy	0.0452173
politicization	0.0450659
amplification	0.0449658
pratfalls	0.0448178
pleading	0.0446073
absolutes	0.0443374
"shell game"	0.0443304
heartburn	0.044318
"leisure time"	0.0441902
trickery	0.0441537
lobbying	0.0438539
canvassing	0.0437946
hoarding	0.0437682
contretemps	0.0436235
rancor	0.0435025
juggling	0.0434709
wrongdoer	0.0434498
cross-fertilization	0.0430169
gimmickry	0.042921
bookkeeping	0.0429146
triage	0.0427825
fulcrum	0.0425388
"window dressing"	0.0424612
recluse	0.0423271
flogging	0.0422779
stratagem	0.0422488
spanking	0.0421914
whistle-blowers	0.0420335
rainmaker	0.0419901
boosterism	0.0419596
tampering	0.0418384
comity	0.0415464
"civic duty"	0.0414387
entreaty	0.0414195
reapportionment	0.0414122
hand-holding	0.0413341
sparring	0.0411768
malfeasance	0.040992
"Hail Mary"	0.0409391
give-and-take	0.0409111
handshaking	0.040772
reshuffling	0.0404079
"hanky panky"	0.0404028
self-examination	0.0404016
Minuet	0.0402789
"tax change"	0.0401979
"rain shower"	0.0401392
impropriety	0.0400891
copout	0.0400862
Gambit	0.0400386
))
(armada (desc 5844.4) (sims
flotilla	0.171106
"battle group"	0.131553
fleet	0.12226
squadron	0.110171
"naval forces"	0.0956944
warship	0.0954147
"aircraft carrier"	0.0928093
contingent	0.0765338
fighter-bombers	0.0741167
overflights	0.0712066
warplanes	0.0694241
"patrol boat"	0.0693068
manoeuvre	0.0690426
"USS Enterprise"	0.0686667
"landing craft"	0.0656001
"military force"	0.065257
"air power"	0.0624677
sortie	0.0622817
gunship	0.0617496
convoy	0.060711
"crew member"	0.0598423
"nuclear-powered submarine"	0.0595507
firepower	0.0594638
"war game"	0.0582843
tanker	0.0580303
propeller	0.0571474
battalion	0.0570746
"Air Force"	0.0570103
"Stabilization Force"	0.0567809
"art collection"	0.0561393
"military mission"	0.0555066
sinking	0.0537056
submarine	0.0535975
"sphere of influence"	0.053568
Arsenal	0.0533695
coterie	0.0527427
gunboat	0.0526317
bomber	0.0524376
Apaches	0.0523386
airstrike	0.0522254
"war chest"	0.0520418
frigate	0.0518948
"United Nations Interim Force in Lebanon"	0.0513223
"weapons system"	0.0509934
"engine room"	0.050519
speedboat	0.0501178
minesweeper	0.0500477
replica	0.0499176
Grounding	0.0497191
"patrol ship"	0.0493962
destroyer	0.0492292
batch	0.0487011
warplane	0.0486436
"territorial water"	0.0482718
legion	0.0479611
detachment	0.0477591
F-@@s	0.0474642
trainload	0.0474595
downing	0.0474009
planeload	0.0472283
"air attack"	0.0471919
Crews	0.0470334
Phalanx	0.0469912
battleship	0.0468329
UNIFIL	0.0460458
reinforcement	0.0458515
"merchant ship"	0.0458218
retinue	0.0453823
platoon	0.0452657
"Medicare HMO"	0.0451839
crewmen	0.0450769
horde	0.0450564
"ice floe"	0.0450503
"oil tanker"	0.0448047
"distribution network"	0.0447812
"military personnel"	0.0445428
bevy	0.0445272
"nest egg"	0.0441066
"particle accelerator"	0.0440649
cabal	0.044058
Cruiser	0.0436137
"intelligence analyst"	0.0435281
"elephant population"	0.0431997
"cargo vessel"	0.0431484
"cast of characters"	0.0430778
reservist	0.0430586
"Implementation Force"	0.0428774
"military unit"	0.0427413
fumigation	0.042692
"electronic database"	0.0425508
procession	0.0425051
"fund-raising campaign"	0.0423963
"Young America"	0.0421902
"supply ship"	0.0417642
A@XX	0.0416885
caravan	0.0415032
mobilization	0.0411835
flyover	0.0411451
"small boat"	0.0407562
entourage	0.0406654
stationing	0.0406116
commando	0.0405633
"regular army"	0.0405375
drone	0.0401806
"labor pool"	0.0401641
docking	0.0401591
"Southern Command"	0.0401427
"intelligence operation"	0.0400838
unloading	0.0400487
"business interest"	0.04004
))
(armadillo (desc 2719.69) (sims
rattlesnake	0.109704
squirrel	0.0969222
alligator	0.094116
otter	0.0887525
"black bear"	0.0838005
turtle	0.0833227
kangaroo	0.0770211
boar	0.0766409
lizard	0.0752416
crocodile	0.0743374
koala	0.0739681
deer	0.0736295
gerbil	0.0720264
"snow leopard"	0.0717158
rabbit	0.0707792
skunk	0.0701526
piggy	0.0701467
hippo	0.0698802
llama	0.0694556
elk	0.0693676
critters	0.0690867
"Bengal tiger"	0.06815
chipmunk	0.0680321
porpoise	0.0675214
"sea horse"	0.0664023
moose	0.0656191
ostrich	0.0653267
"sea turtle"	0.0651808
hedgehog	0.0642096
"blue crab"	0.0634882
frog	0.063335
quail	0.0631351
"woman's body"	0.062172
monkey	0.0614698
rodent	0.0609238
possum	0.0608555
gazelle	0.0601263
abalone	0.060034
raccoon	0.0598511
cockroach	0.058997
waterfowl	0.05842
tortoise	0.0574859
"wild boar"	0.0573886
amphibian	0.0573691
humming	0.0573365
crab	0.0572852
chimpanzee	0.0568787
goat	0.0559482
householder	0.0557979
taco	0.0556621
owl	0.0547454
gopher	0.0539299
eel	0.0539119
goldfish	0.053773
mallard	0.0533274
"Homo erectus"	0.0532378
oxen	0.0528509
snail	0.0527982
caribou	0.0523671
"tin can"	0.0519995
pheasant	0.0517823
nudist	0.0517662
"sea cucumber"	0.051207
kitten	0.0505401
pigeon	0.050104
squid	0.0498562
"tree stump"	0.0498217
"man's body"	0.0494402
Tamale	0.049047
lobster	0.0489969
baboon	0.0489772
burro	0.0489517
"Easter bunny"	0.048854
geese	0.0488135
"belly dancer"	0.0485042
"sea lion"	0.0483141
panda	0.0482083
"rare bird"	0.0476627
poultry	0.0474974
"sunflower seed"	0.0473824
orangutan	0.0469159
piglet	0.046802
iguana	0.0467771
hamster	0.0465724
"skin cell"	0.0464739
peregrine	0.0464171
salamander	0.0461276
rhino	0.04604
conch	0.0460236
"red deer"	0.0459537
sturgeon	0.0459522
rhinoceros	0.0458807
geezer	0.0454707
Vulture	0.0451492
"gray whale"	0.0451466
enlistee	0.0450918
bison	0.0444777
mammal	0.0444771
babysitter	0.0444459
parrot	0.0442763
"dead person"	0.0442741
thistle	0.0440206
"raw meat"	0.0439728
airball	0.0439259
turnip	0.0437774
octopus	0.0437602
cicada	0.0437024
fetus	0.0436957
"polar bear"	0.0434945
matzoh	0.0433455
zucchini	0.0431039
yak	0.0429829
"grocery bag"	0.0429401
"cream puff"	0.0429308
walrus	0.0428746
sparrow	0.0427796
"bighorn sheep"	0.0426381
beaver	0.0422524
"flower arrangement"	0.0420896
alpaca	0.0420757
ladybug	0.0419892
antelope	0.0418806
drumstick	0.0417528
turbot	0.0417396
spider	0.0416502
clam	0.0415971
reptile	0.0415035
tacklers	0.041477
Bighorn	0.0414696
flack	0.0414225
rulebook	0.0414115
"adult male"	0.0413149
mollusk	0.0411145
Bengal	0.041103
"ballet dancer"	0.0410124
Santas	0.0410039
"fish tank"	0.0409863
cheetah	0.0402145
fourth-graders	0.0401343
))
(Armageddon (desc 12615.5) (sims
"Deep Impact"	0.148685
"Lethal Weapon @"	0.133323
"Saving Private Ryan"	0.125743
"Truman Show"	0.125645
Mulan	0.12282
Godzilla	0.117067
"Eyes Wide Shut"	0.096746
Titanic	0.0955879
apocalypse	0.094888
"Civil Action"	0.094695
Antz	0.0946701
Dolittle	0.0943115
"Wild Wild West"	0.0901397
U-@@@	0.0898386
"Jurassic Park"	0.0893994
"Star Wars"	0.0885918
"Cruel Intentions"	0.0878368
"sixth sense"	0.0861538
"Fight Club"	0.0857933
"King Kong"	0.0853445
"Erin Brockovich"	0.0849709
Matrix	0.0831331
"Blair Witch Project"	0.0831198
Waterboy	0.0827373
"American Pie"	0.080328
"Forrest Gump"	0.0790949
psycho	0.078334
Tarzan	0.0782325
"Space Cowboys"	0.0764496
"Opium War"	0.0752611
"Double Jeopardy"	0.0751502
"Toy Story"	0.0742923
"Runaway Bride"	0.0738325
"American Beauty"	0.0737806
entrapment	0.0732858
"Stuart Little"	0.0730457
"Pulp Fiction"	0.072374
"Good Will Hunting"	0.0723588
"Phantom Menace"	0.0721493
Bulworth	0.0718543
Braveheart	0.0715167
sequel	0.0711405
"Austin Powers"	0.0705084
"L.A Confidential"	0.0694453
Bowfinger	0.0693637
"Patch Adams"	0.0692631
"Smoke Signals"	0.0682885
"snake eyes"	0.0679419
Ronin	0.0678282
doom	0.0673681
"Independence Day"	0.0671348
"Big Daddy"	0.0670842
Gladiator	0.0661352
"Cradle Will Rock"	0.0660198
Pleasantville	0.0657145
"Titan A.E."	0.0653167
"chicken run"	0.0648908
X-Files	0.0645204
"Lethal Weapon"	0.064048
"Blair Witch"	0.0639758
Jawbreaker	0.0635979
"Nurse Betty"	0.0635565
"Life Is Beautiful"	0.0635103
"Mighty Joe Young"	0.0631534
"Perfect Storm"	0.0631066
twister	0.0628054
"Impossible @"	0.0625398
blockbuster	0.0621389
"Blade Runner"	0.0621007
EdTV	0.061871
"Inspector Gadget"	0.0616406
"Jerry Maguire"	0.061615
"Toy Story @"	0.0591807
Rushmore	0.0587404
payback	0.0582474
"English Patient"	0.0577889
ROUNDERS	0.0573062
"South Park"	0.0572053
"Lion King"	0.0569778
X-MEN	0.0569308
"Varsity Blues"	0.0568406
remake	0.0568098
Magnolia	0.0567479
"Boogie Nights"	0.0566554
"Little Voice"	0.0564209
"Princess Mononoke"	0.0563834
prequel	0.0562444
"Twilight Zone"	0.0559122
thriller	0.0556005
"Scary Movie"	0.0551082
"Animal House"	0.0550589
"Full Monty"	0.0550436
beloved	0.0545333
"Thin Red Line"	0.0537325
"Star Trek"	0.0535058
"Being John Malkovich"	0.0527893
catastrophe	0.0523154
"Horse Whisperer"	0.0522771
"Citizen Kane"	0.0521229
"Hollow Man"	0.0520407
Shakespeare	0.0519528
epic	0.0519047
meltdown	0.051477
"rush hour"	0.0514063
avenger	0.0512557
affliction	0.0510554
Zorro	0.0509788
flick	0.0508511
Girlfight	0.0507604
"high fidelity"	0.0504106
Hercules	0.0503699
swinger	0.0503376
"Notting Hill"	0.0502446
stepmom	0.049897
rocky	0.0494015
Hoosier	0.0493042
"Iron Giant"	0.048513
cataclysm	0.0484331
"High Art"	0.0482505
"arms race"	0.0479857
"love story"	0.0477389
"wonder boy"	0.0477131
"Ideal Husband"	0.0474044
E.T	0.047183
"Cider House Rules"	0.0470867
"Night Fever"	0.0470585
"feature film"	0.0469385
deflation	0.0468809
shakeout	0.0466489
pi	0.0464766
doomsday	0.0464303
Pokemon	0.0462995
"Velvet Goldmine"	0.0459581
"Primary Colors"	0.0458674
"rate rise"	0.0458439
"Green Mile"	0.0457605
"True Thing"	0.0457115
"Top Gun"	0.0456384
Moby-Dick	0.0456302
Amadeus	0.0454679
Footloose	0.0454394
"wing commander"	0.0452692
"Meet Joe Black"	0.0452611
Pinocchio	0.0450502
Fantasia	0.0448113
miniseries	0.0441263
dogma	0.0440531
Halloween	0.0433763
trilogy	0.0432991
Batman	0.0432288
Madeline	0.0426423
Trainspotting	0.0423613
insurrection	0.0423256
"TV show"	0.0422641
noir	0.042197
"pitch black"	0.0421842
Amistad	0.0418262
genre	0.0417057
annihilation	0.041362
Lolita	0.0411883
mummy	0.0411787
serial	0.0409817
letdown	0.040719
Seinfeld	0.0406773
upheaval	0.0406662
"television show"	0.0406548
"scarlet pimpernel"	0.0406543
"wild West"	0.0406309
Stigmata	0.0405485
Simpsons	0.0405387
tumbleweed	0.040534
"motion picture"	0.040434
cartoon	0.0403191
spoof	0.0401567
))
(armament (desc 11356.9) (sims
weaponry	0.191895
"weapons system"	0.139821
weapon	0.116627
materiel	0.116361
munition	0.112045
"weapon system"	0.103216
equipment	0.101275
"nuclear weapon"	0.0999542
missile	0.0973112
"heavy weapon"	0.0923818
hardware	0.0916633
machinery	0.0913643
"machine tool"	0.0903605
"military training"	0.0856494
"spare part"	0.0845461
"building material"	0.0840954
"nuclear warhead"	0.0829621
"atomic energy"	0.0802811
capability	0.0801771
ammunition	0.0800532
"fighter aircraft"	0.0800015
"military capability"	0.0799152
artillery	0.0795549
firepower	0.078756
Manpower	0.0783899
procurement	0.0782239
ordnance	0.0776786
"air defense"	0.0775841
infrastructure	0.0768964
electronics	0.0765205
"defense system"	0.0764824
"surface-to-air missile"	0.0764136
aircraft	0.0760304
frigate	0.0747356
"household appliance"	0.0745862
firearm	0.0745492
shipbuilding	0.072913
"air-to-air missile"	0.0728017
"consumer goods"	0.072728
launcher	0.0716629
tank	0.0712838
radar	0.0708915
foodstuff	0.0701143
"farm machine"	0.0699332
"food product"	0.0698897
pharmaceutical	0.0697435
logistics	0.0695408
petrochemical	0.0694464
know-how	0.0692372
appliance	0.06847
semiconductor	0.0683058
deterrence	0.0676198
"military force"	0.0675785
"aircraft engine"	0.0675713
Arsenal	0.067263
aerospace	0.0669734
S-@@@	0.0665848
stockpile	0.0664816
"oil production"	0.0660648
avionics	0.066053
warhead	0.066046
demilitarization	0.0660009
"communications equipment"	0.0656794
"electronic equipment"	0.0655607
"rocket fuel"	0.0651299
destroyer	0.0649651
petroleum	0.0645751
"computer hardware"	0.0642319
"ballistic missile"	0.0641571
warplanes	0.0640154
transportation	0.063833
readiness	0.0637974
Orangina	0.0636461
"raw material"	0.063373
explosive	0.0633711
goods	0.0632227
aviation	0.0629495
"sphere of influence"	0.0628852
"communication system"	0.0628197
auto	0.0626412
deployment	0.0625326
warship	0.0621973
"armed forces"	0.0621272
"computer equipment"	0.0620693
telecommunication	0.0617271
intelligence	0.0616629
"high technology"	0.0616593
chemical	0.0616394
personnel	0.061479
inventory	0.0614441
installation	0.0612028
medicine	0.0610172
"production equipment"	0.0609635
lumber	0.0606776
disarmament	0.0606709
howitzer	0.0605429
"military personnel"	0.0605282
nonproliferation	0.0605209
automobile	0.0604644
sonar	0.060409
narcotic	0.0603408
"electric power"	0.0602655
"Joint Strike Fighter"	0.0601979
helicopter	0.0599882
forestry	0.0598928
disarming	0.0595101
"spy satellite"	0.0592872
"memory chip"	0.0592782
"information technology"	0.0591303
"social welfare"	0.0590241
"naval forces"	0.058733
armor	0.058403
"information system"	0.058043
overflights	0.0579967
"electronic warfare"	0.0578999
reactor	0.0577579
jewelry	0.0576528
"missile defense system"	0.0576337
navigation	0.0574904
"production facility"	0.0572937
"air power"	0.0571484
"motor vehicle"	0.0568891
"communications satellite"	0.0567848
"nuclear energy"	0.0567262
"crude oil"	0.056598
communication	0.0565729
Satellite	0.0565232
textile	0.0564361
apparel	0.0563733
"natural gas"	0.0561751
"home appliance"	0.0559007
"nuclear reactor"	0.0557835
surveillance	0.0556829
submarine	0.0556427
"arms control"	0.0556136
agriculture	0.0555715
"defense policy"	0.0554473
"health service"	0.0554133
"computer technology"	0.0553704
"powdered milk"	0.0551854
"data processing"	0.0550396
recruitment	0.0550184
reinforcement	0.055012
component	0.0549885
"patrol boat"	0.0549279
gas	0.0548181
arms	0.0546699
maintenance	0.0546632
commodity	0.054645
"Air Force"	0.0546035
preparedness	0.0545547
newsprint	0.0545323
buildup	0.0544667
interceptor	0.0543283
"foreign exchange"	0.0541928
garment	0.0540377
"telephone network"	0.053986
mining	0.0539639
"aircraft part"	0.0539048
"prescription drug"	0.0538356
"passenger car"	0.0537582
emission	0.0537323
fertilizer	0.0536855
funding	0.0536658
"disk drive"	0.0536346
"rocket launcher"	0.0536224
"power system"	0.053608
Encryption	0.0534944
"natural resource"	0.0533434
Housing	0.0531644
cement	0.0530531
KIMCHI	0.0529194
NMD	0.0528908
Clothing	0.0528424
pesticide	0.0528224
gadget	0.0526935
gunboat	0.0526717
"food aid"	0.052619
enforcement	0.0520292
copier	0.0519148
manufacturing	0.0519031
expenditure	0.0518935
F-@@s	0.0518048
airspace	0.0518043
lubricant	0.0517699
"transportation system"	0.0516555
"water right"	0.0516475
"alcoholic beverage"	0.0516108
financing	0.0515592
battery	0.0515496
"chemical agent"	0.0515227
"retirement benefit"	0.051415
electricity	0.0513409
"social insurance"	0.0513366
fishery	0.0513015
infantry	0.0511695
"wind power"	0.051091
"fuel oil"	0.0509794
"health care"	0.0509739
airplane	0.0509687
))
("Armando Benitez" (desc 5599.85) (sims
"Dennis Cook"	0.31822
"Pat Mahomes"	0.299151
"Turk Wendell"	0.276978
"John Franco"	0.257599
"Danny Graves"	0.254595
"Jason Isringhausen"	0.24774
"Terry Adams"	0.233382
"Octavio Dotel"	0.233099
"Jose Mesa"	0.231579
"Matt Mantei"	0.229002
"DOUG JONES"	0.226865
"Greg McMichael"	0.22333
"Mike Timlin"	0.218986
"Alan Mills"	0.2178
"Jeff Brantley"	0.210958
"Rich Rodriguez"	0.21087
"Jeff Shaw"	0.21064
"Paul Shuey"	0.20962
"Gregg Olson"	0.209345
"Trevor Hoffman"	0.207613
"Rod Beck"	0.20757
"Al Leiter"	0.207149
"Troy Percival"	0.203795
"Scott Sullivan"	0.203107
"Mel Rojas"	0.202403
"Billy Wagner"	0.201623
"Russ Springer"	0.20037
"Derek Lowe"	0.197674
"Todd Jones"	0.196062
"Mariano Rivera"	0.195791
"John Wetteland"	0.195761
Benitez	0.192427
"Byung-Hyun Kim"	0.190866
"Pedro Borbon"	0.189809
"Antonio Osuna"	0.189626
"Kerry Ligtenberg"	0.186925
"Scott Erickson"	0.186397
"Scott Radinsky"	0.184971
"Shigetoshi Hasegawa"	0.184387
"Jesse Orosco"	0.183353
"Jay Powell"	0.18134
"Tom Gordon"	0.180276
"Mike Stanton"	0.17952
"Rich Garces"	0.177951
"Ricky Bottalico"	0.177775
"Randy Myers"	0.176778
"Rick Aguilera"	0.176345
"Arthur Rhodes"	0.176112
"Mark Petkovsek"	0.174661
"Mike Fetters"	0.174053
"Heathcliff Slocumb"	0.173281
"Willie Blair"	0.173221
"Mike Remlinger"	0.172429
"Orel Hershiser"	0.172329
"Doug Henry"	0.171466
"Tim Crabtree"	0.170838
"John Hudek"	0.169572
"Billy Taylor"	0.165451
"Roberto Hernandez"	0.164485
"Bob Wickman"	0.163337
"Robb Nen"	0.163216
"Rick Reed"	0.162241
"Jason Christiansen"	0.161641
"Matt Herges"	0.161472
"Masato Yoshii"	0.160201
"Jose Paniagua"	0.159168
"Mike Mussina"	0.157151
Mahomes	0.156305
"Bill Pulsipher"	0.156206
"Bryce Florie"	0.1555
"Ugueth Urbina"	0.155166
"Kazuhiro Sasaki"	0.152733
"Scott Williamson"	0.151628
"Rheal Cormier"	0.150271
"Mark Leiter"	0.149576
"Darren Holmes"	0.148955
"Scott Elarton"	0.148256
"Steve Parris"	0.147936
"Mike Williams"	0.147682
"Chuck McElroy"	0.146564
"Tim Wakefield"	0.145517
"Brett Tomko"	0.144916
"Javier Vazquez"	0.144087
"Dan Miceli"	0.143304
"Dustin Hermanson"	0.143282
"Rudy Seanez"	0.143069
"Mark Guthrie"	0.141119
"Donne Wall"	0.141011
"Sidney Ponson"	0.140707
"John Rocker"	0.140647
"Mike Magnante"	0.140225
"Jeff Zimmerman"	0.139436
"Jeff Nelson"	0.138532
"Pat Rapp"	0.138493
"John Wasdin"	0.138161
"Mike Holtz"	0.137231
"Jason Schmidt"	0.137086
"Al Levine"	0.133804
"Allen Watson"	0.133426
"Ron Villone"	0.131417
"Jason Grimsley"	0.130105
"Rick White"	0.129889
"Frankie Rodriguez"	0.129431
"Terry Mulholland"	0.128736
"Mike Venafro"	0.128567
"Brian McRae"	0.128185
"Rey Ordonez"	0.128166
"Ramiro Mendoza"	0.12776
"STEVE WOODARD"	0.127609
"Ramon Martinez"	0.127375
"Alan Embree"	0.126372
"Woody Williams"	0.126293
"Dave Mlicki"	0.125844
"Mark Wohlers"	0.124098
"Greg Swindell"	0.123999
"Jamey Wright"	0.123366
"Jamie Arnold"	0.12299
"Dwight Gooden"	0.122742
"Rickey Henderson"	0.121396
"Mac Suzuki"	0.119541
Wendell	0.118441
"Andy Benes"	0.118013
"Matt Morris"	0.117621
"Danny Patterson"	0.117194
"Dennis Martinez"	0.117155
"Rick Helling"	0.11702
"Scott Karl"	0.116705
"Brian Bohanon"	0.116425
"Francisco Cordero"	0.116125
McMichael	0.115751
"Mike Hampton"	0.115404
"Robin Ventura"	0.115224
"Charles Nagy"	0.115046
"Chris Holt"	0.114975
"Dave Burba"	0.11436
"Juan Guzman"	0.113935
"John Burkett"	0.113782
"Russ Ortiz"	0.112804
"Armando Reynoso"	0.112127
"Mike Morgan"	0.111872
"Onan Masaoka"	0.111401
"John Olerud"	0.110388
"Paul Abbott"	0.10952
"Darryl Hamilton"	0.109413
"Hideo Nomo"	0.109239
"Todd Pratt"	0.108896
"Pedro Astacio"	0.108603
"Brett Hinchliffe"	0.107999
"Darren Dreifort"	0.10787
"Mike Piazza"	0.107642
Rusch	0.107466
"Jose Jimenez"	0.107101
"Mark Gardner"	0.106712
Leiter	0.106701
"Matt Franco"	0.105918
Mantei	0.10587
"Kent Bottenfield"	0.105771
"Jon Lieber"	0.105188
"Shane Reynolds"	0.104769
"Mike Jackson"	0.104616
"Chris Carpenter"	0.104573
Sasaki	0.103984
"Lenny Harris"	0.103656
"Andy Ashby"	0.103526
Dempster	0.103272
Pulsipher	0.103054
"Benny Agbayani"	0.102585
"Carl Pavano"	0.1025
"Kevin Millwood"	0.102362
"Mark Langston"	0.102166
"Kirk Rueter"	0.101996
"Mark Clark"	0.101722
"Mike Bordick"	0.100085
"Melvin Mora"	0.100031
"Bobby Jones"	0.0995676
"Brian Moehler"	0.0989399
"Jeff Fassero"	0.0989107
"Pete Schourek"	0.0988693
Herges	0.0981555
Elarton	0.0978739
"Dennis Eckersley"	0.0977319
"Jaret Wright"	0.0976225
Petkovsek	0.097135
"Omar Daal"	0.0970913
"Pat Hentgen"	0.0970817
"Jeff Weaver"	0.096975
Percival	0.0969086
"Bartolo Colon"	0.0959706
"Kenny Rogers"	0.0956953
"Steve Trachsel"	0.0955655
"Cal Ripken"	0.0950772
Osuna	0.0945282
Mlicki	0.0942134
"Graeme Lloyd"	0.0941669
"Hideki Irabu"	0.0941597
"Edgardo Alfonzo"	0.0940553
"Jesus Sanchez"	0.0939087
Checo	0.0938856
"Esteban Loaiza"	0.093787
"Kevin Appier"	0.0936718
))
("Armando Reynoso" (desc 2334.76) (sims
"Andy Benes"	0.393936
"Brian Anderson"	0.316498
"Brian Moehler"	0.287298
"Omar Daal"	0.285205
"Gil Heredia"	0.281561
"Steve Parris"	0.279521
"Woody Williams"	0.274676
"Todd Stottlemyre"	0.27352
"Russ Ortiz"	0.263501
"Esteban Loaiza"	0.262365
"Willie Blair"	0.259778
"Mark Gardner"	0.256736
"Jon Lieber"	0.252824
"Bryce Florie"	0.25073
"Byung-Hyun Kim"	0.247774
"Matt Morris"	0.246654
"Tim Belcher"	0.245334
"Chris Carpenter"	0.245112
"John Burkett"	0.23833
"Kevin Tapani"	0.238112
"Paul Abbott"	0.234763
"Pat Rapp"	0.234342
"Francisco Cordova"	0.232433
"Gregg Olson"	0.2323
"Mac Suzuki"	0.226765
"Dave Burba"	0.226586
"Kirk Rueter"	0.224268
"Omar Olivares"	0.221688
"Rick Reed"	0.22159
"Mark Portugal"	0.219473
"Scott Elarton"	0.218597
"Mark Clark"	0.218006
"Aaron Sele"	0.217905
"Jesus Sanchez"	0.214173
"Darren Holmes"	0.213309
"BRIAN MEADOWS"	0.213027
"Jamey Wright"	0.212333
"Dave Mlicki"	0.212111
"Pete Harnisch"	0.209907
"Jason Bere"	0.209753
"Juan Guzman"	0.209465
"Jason Schmidt"	0.209347
"Scott Erickson"	0.20912
"Joey Hamilton"	0.20904
"Brad Radke"	0.208274
"Darryl Kile"	0.206844
"Ken Cloude"	0.206738
"Rolando Arrojo"	0.206728
"Ryan Dempster"	0.206606
"Shane Reynolds"	0.205956
"Carl Pavano"	0.20566
"Eric Milton"	0.20465
"Octavio Dotel"	0.204115
"Sean Bergman"	0.202535
"Pedro Astacio"	0.201378
"Paul Byrd"	0.199876
"Brett Tomko"	0.197577
"Mike Morgan"	0.197206
"Pat Hentgen"	0.197034
"Wilson Alvarez"	0.195664
"Dustin Hermanson"	0.194776
"Brian Rose"	0.194415
"Jeff Weaver"	0.193547
"Ramiro Mendoza"	0.193477
"Brian Bohanon"	0.193306
"Kevin Appier"	0.19244
"Mike Sirotka"	0.192265
"Matt Mantei"	0.191619
"Steve Trachsel"	0.191528
"Russ Springer"	0.190019
"Javier Vazquez"	0.189657
"Rick Helling"	0.189101
"Alex Fernandez"	0.187509
"Bobby Jones"	0.185937
"Masato Yoshii"	0.185396
"Tom Candiotti"	0.182668
"Danny Graves"	0.182272
"Gil Meche"	0.181758
"Chris Holt"	0.181435
"Jim Parque"	0.18138
"Bartolo Colon"	0.180548
"Jason Dickson"	0.178982
"Chan Ho Park"	0.178238
"Shawn Estes"	0.17815
"Robb Nen"	0.17712
"Pete Schourek"	0.176291
"Livan Hernandez"	0.175919
"Sidney Ponson"	0.175346
Reynoso	0.175267
"Terry Mulholland"	0.175169
"Scott Radinsky"	0.174923
"Scott Karl"	0.174652
Benes	0.174428
"Dwight Gooden"	0.174256
"STEVE WOODARD"	0.173751
"Orel Hershiser"	0.173731
"Brett Hinchliffe"	0.173342
"Hideki Irabu"	0.173104
"Steve Sparks"	0.173005
"Vladimir Nunez"	0.172891
"Al Leiter"	0.172614
"Dennis Cook"	0.172348
"Freddy Garcia"	0.172086
"Ramon Ortiz"	0.171945
"Mike Mussina"	0.171585
"Greg Swindell"	0.170677
"Ken Hill"	0.169563
Daal	0.168627
"Chuck Finley"	0.167736
"Bill Pulsipher"	0.167714
"John Snyder"	0.16745
"James Baldwin"	0.166876
"Matt Herges"	0.166834
"Kent Bottenfield"	0.166724
"Jose Jimenez"	0.166628
"Tim Wakefield"	0.166354
"Charles Nagy"	0.165571
"Jaret Wright"	0.165445
"Ryan Glynn"	0.16534
"Hideo Nomo"	0.164542
"John Halama"	0.16369
"Paul Shuey"	0.163624
"Al Levine"	0.162975
"Mike Judd"	0.161976
"Jamie Moyer"	0.160618
"Tim Hudson"	0.159954
"Alan Embree"	0.159914
"Jose Lima"	0.159673
"Ramon Martinez"	0.159219
"Darren Dreifort"	0.158135
"Scott Schoeneweis"	0.157436
"Mark Petkovsek"	0.157405
"John Wasdin"	0.156895
"Robinson Checo"	0.156396
"Ismael Valdes"	0.155152
"Andy Ashby"	0.154966
"Darren Oliver"	0.154685
"Brian Cooper"	0.154443
"John Hudek"	0.154376
"Kent Mercker"	0.153688
"Antonio Osuna"	0.153516
"Jack McDowell"	0.15287
Suppan	0.152587
"Terry Adams"	0.152171
"Jason Isringhausen"	0.150936
"Rick White"	0.150788
Hermanson	0.150362
"Ron Villone"	0.150312
"Jamie Arnold"	0.149951
"Mark Langston"	0.149616
"Brad Penny"	0.149487
"Bret Saberhagen"	0.149157
"Pat Mahomes"	0.148382
Trachsel	0.147386
"Eric Gagne"	0.14736
"Curt Schilling"	0.145665
Sele	0.145326
"Kevin Millwood"	0.145208
"Heathcliff Slocumb"	0.145058
"Turk Wendell"	0.144787
"Mike Timlin"	0.143575
D'Amico	0.143499
"Jeff Nelson"	0.143328
"Kenny Rogers"	0.141344
Kile	0.14046
Rueter	0.139857
"Scott Williamson"	0.139716
"Carlos Perez"	0.139471
"Sterling Hitchcock"	0.139462
"Jin Ho Cho"	0.13938
"Odalis Perez"	0.139212
Harnisch	0.138799
Bottenfield	0.138291
"Dan Miceli"	0.138086
Dempster	0.137431
"Allen Watson"	0.137209
"Tim Crabtree"	0.135951
"Doug Henry"	0.135936
"Mike Hampton"	0.134351
"Orlando Hernandez"	0.133668
"Greg Colbrunn"	0.133605
"Ricky Bottalico"	0.132998
Lieber	0.132708
"Mike Fetters"	0.132578
"Billy Taylor"	0.132476
"Jarrod Washburn"	0.132141
"Rick Aguilera"	0.131724
"Greg McMichael"	0.130909
"Justin Thompson"	0.130866
"Jay Powell"	0.130039
Tapani	0.128879
"Andy Pettitte"	0.128087
"Jose Mesa"	0.128008
"John Smoltz"	0.127946
"Kevin Brown"	0.127873
"Shigetoshi Hasegawa"	0.127582
"Rudy Seanez"	0.126708
"Mike Remlinger"	0.126206
"Randy Myers"	0.126059
"Jeff Fassero"	0.125725
Petkovsek	0.124886
Moehler	0.124157
"Steve Finley"	0.122909
"Jim Corsi"	0.122403
"Bob Wickman"	0.122154
"Derek Lowe"	0.122078
Stottlemyre	0.121633
"Jason Grimsley"	0.12152
Heredia	0.121088
"Doug Davis"	0.120901
"DOUG JONES"	0.120871
"Danny Patterson"	0.120785
Astacio	0.120208
Schourek	0.120046
"John Franco"	0.119994
"Rich Rodriguez"	0.119622
"Rich Garces"	0.119334
Mahomes	0.118733
Burkett	0.118366
"Mark Leiter"	0.117802
Rusch	0.117426
"Matt Perisho"	0.117386
"Bruce Chen"	0.117243
Loaiza	0.116992
"Ugueth Urbina"	0.116254
"Kerry Wood"	0.116148
"Denny Neagle"	0.115913
"Kevin McGlinchy"	0.115646
Hentgen	0.115399
Bere	0.115368
"Frankie Rodriguez"	0.115253
"Jeff Zimmerman"	0.114982
Checo	0.11478
Eldred	0.113705
"Armando Benitez"	0.112127
"Jose Paniagua"	0.112073
"Troy Percival"	0.110126
"Steve Avery"	0.109349
"Tom Glavine"	0.109254
"Dennis Eckersley"	0.108993
Ankiel	0.108892
"David Cone"	0.108173
"Jesse Orosco"	0.107915
"Dennis Martinez"	0.107852
"Mike Stanton"	0.107786
Yoshii	0.107766
Arrojo	0.107301
"Mike Williams"	0.107253
"Tom Gordon"	0.107027
Mussina	0.10616
"Travis Lee"	0.105662
Dreifort	0.105578
"Scott Sullivan"	0.105298
"Alan Mills"	0.10527
"Randy Johnson"	0.104719
"Greg Maddux"	0.104565
Burba	0.104444
Elarton	0.10441
"John Wetteland"	0.104407
Radke	0.102708
Hershiser	0.102478
Parris	0.100846
Helling	0.100708
))
(Armani (desc 5574.65) (sims
Versace	0.245594
"Jil Sander"	0.208237
Chanel	0.20136
"Dolce &AMP; Gabbana"	0.191591
"Ralph Lauren"	0.19123
"Giorgio Armani"	0.190611
Gucci	0.184067
DKNY	0.18371
"Helmut Lang"	0.175582
Fendi	0.174939
"Bill Blass"	0.173677
Valentino	0.168882
"Calvin Klein"	0.164079
Gaultier	0.159434
"Christian Dior"	0.156038
"Tommy Hilfiger"	0.151016
"Louis Vuitton"	0.149439
"Donna Karan"	0.145299
"Saint Laurent"	0.142493
Prada	0.138464
Dior	0.135355
"navy blue"	0.134942
Renta	0.133389
Fubu	0.128287
HERMES	0.126601
"Yves Saint Laurent"	0.124431
Givenchy	0.123761
clingy	0.122286
"John Bartlett"	0.117014
"Christian Lacroix"	0.116268
"powder blue"	0.108804
Karan	0.107836
"Banana Republic"	0.105089
slinky	0.101963
"J. Crew"	0.098487
"Brooks Brothers"	0.0976165
flannel	0.0960515
COUTURE	0.0960025
"high fashion"	0.095458
cashmere	0.0945926
polyester	0.0930051
denim	0.0918657
"Michael Kors"	0.0900146
plaid	0.0870964
suede	0.0868003
"royal blue"	0.0857132
LVMH	0.0843943
tweed	0.0838146
"Miuccia Prada"	0.0827647
preppy	0.0821039
"dark blue"	0.0806725
Tiffany	0.0780282
Levi's	0.0770024
"haute couture"	0.074809
HILFIGER	0.0737404
"Alexander McQueen"	0.0736229
Galliano	0.0719527
camouflage	0.071402
taffeta	0.0713008
velvet	0.0711032
mohair	0.0709576
Lancome	0.0707004
adidas	0.070604
silk	0.07045
Polo	0.0702185
Barneys	0.0698972
brocade	0.0692778
Ferragamo	0.0676285
"Eddie Bauer"	0.0674504
tuxedo	0.0668036
wool	0.066717
NIKE	0.0665523
rayon	0.0662157
"Marc Jacobs"	0.0661811
Burberry	0.0658455
leather	0.0655142
Chloe	0.0654935
caftan	0.0653536
worn	0.0639973
crepe	0.0626558
Cartier	0.0611701
"Isaac Mizrahi"	0.0609254
organza	0.0599228
Kmart	0.0596476
linen	0.0591607
"Liz Claiborne"	0.0591537
menswear	0.0588253
"Karl Lagerfeld"	0.0582221
nylon	0.0579913
fuchsia	0.0579178
wraparound	0.0576963
fishnet	0.0574126
tunic	0.0573237
spandex	0.0569156
snakeskin	0.05524
Celine	0.0549791
"Old Navy"	0.0549434
"olive green"	0.0548825
fleece	0.0547205
Halston	0.0546515
halter	0.0546016
rhinestone	0.0542563
taupe	0.0541107
"John Galliano"	0.054102
L'Oreal	0.0537946
spiffy	0.0525351
"L.L Bean"	0.052055
retro	0.0512466
kimono	0.0510571
"polka dot"	0.0508999
kor	0.0508637
flack	0.0500986
drawstring	0.0499515
tux	0.0495295
"Betsey Johnson"	0.0494174
Lycra	0.0493082
indigo	0.0483477
cowgirl	0.0480204
Pendleton	0.0478013
maternity	0.0472248
Klein	0.04715
glam	0.0469342
gauze	0.0464955
Hanes	0.046368
flapper	0.0462831
Lacroix	0.0460581
bolero	0.0456776
vintage	0.0454896
Nordstrom	0.0452521
python	0.0450794
"Circuit City"	0.0449845
Rowley	0.0448063
sheath	0.044795
"Bergdorf Goodman"	0.0445181
"pants suit"	0.0443752
mink	0.0443071
Sari	0.0434387
Poncho	0.0432764
Ducati	0.0432434
vinyl	0.0429258
"Abercrombie &AMP; Fitch"	0.0429235
Mizrahi	0.0428314
docker	0.0427236
stiletto	0.0425638
Abercrombie	0.0424916
"hot pants"	0.0424066
Pantsuits	0.0423596
cardigan	0.0423279
"black and white"	0.0422636
Teflon	0.0422371
"body armor"	0.0419224
"sport shirt"	0.0412178
trouser	0.0407555
Fila	0.0407177
Miyake	0.0406899
"feather boa"	0.0406219
Speedo	0.0405208
yarmulke	0.0405127
hosiery	0.0403935
Gardiner	0.0401998
scuba	0.0401797
Rolex	0.0401571
Gymboree	0.0401467
))
(armband (desc 3032.48) (sims
suspender	0.128603
bandana	0.127147
"feather boa"	0.124486
"rubber boot"	0.122234
"ski mask"	0.121552
turban	0.117278
"life vest"	0.11594
waistcoat	0.114413
beret	0.113637
headband	0.110511
bandanna	0.109756
wristband	0.109429
"cowboy boot"	0.109044
"boxing glove"	0.107805
"baseball cap"	0.107169
capris	0.103775
slicker	0.102703
coverall	0.102226
"bow tie"	0.101647
jumpsuit	0.10102
insignia	0.0994428
"cocktail dress"	0.099353
raincoat	0.0988277
ribbon	0.0987063
"hard hat"	0.095783
"cowboy hat"	0.0946041
vest	0.0943888
windbreaker	0.0928442
miniskirts	0.0927435
tux	0.0919056
undershirt	0.0914792
"Star of David"	0.0914723
bellbottoms	0.0910872
knickers	0.0909012
scarf	0.0908121
"bulletproof vest"	0.0907547
overcoat	0.0907286
"straw hat"	0.0906959
"pants suit"	0.0905575
"leather jacket"	0.0903977
smock	0.0896547
"dress shirt"	0.0896355
skullcap	0.0895868
pantsuit	0.089391
"sports jacket"	0.0887991
Sash	0.0878929
helmet	0.0874317
bustier	0.0870269
fedora	0.0868665
miniskirt	0.0865411
"bowler hat"	0.0865071
badge	0.0864505
Poncho	0.0862547
"hot pants"	0.0846946
headdress	0.0845553
"sweat pants"	0.0841669
caftan	0.0836212
"combat boot"	0.0828699
tights	0.0826886
livery	0.0821176
yarmulke	0.0820876
"top hat"	0.082066
"life jacket"	0.081935
bodysuit	0.0817445
"stiletto heel"	0.081257
carnation	0.0810155
legging	0.0804152
pendant	0.0798116
Thong	0.0797756
sweatshirt	0.0792838
"body armor"	0.0785188
slipper	0.0783473
"dress uniform"	0.078163
"food coloring"	0.0781027
loafer	0.0774283
"tennis shoe"	0.0773827
swoosh	0.0770127
"wedding dress"	0.0769993
underpants	0.076592
corduroy	0.076262
"military uniform"	0.0762587
G-string	0.0759115
necktie	0.0756114
"evening gown"	0.0754528
garb	0.0753815
"polo shirt"	0.074759
lettering	0.0745851
trouser	0.0745615
Pantsuits	0.0744413
apron	0.0741209
numeral	0.0736436
stitching	0.0730965
turtleneck	0.0728177
blinder	0.0725854
"mink coat"	0.0723612
pajama	0.0718563
stripe	0.071723
getup	0.0713096
bunting	0.0707886
streamer	0.0705935
"shoulder pad"	0.0701988
headgear	0.0693989
parka	0.0693796
stripes	0.0692449
robe	0.0691935
cleat	0.0690171
"fur coat"	0.0687647
earphone	0.068708
"prayer shawl"	0.0684437
"sport shirt"	0.0681969
swastika	0.0680871
Fez	0.0675079
pinstripes	0.0670937
"ball gown"	0.0669671
mitten	0.0667601
sunglasses	0.0667492
blinker	0.0667191
tunic	0.066558
sandal	0.0662263
choker	0.0661337
wastebasket	0.0659903
"name tag"	0.06575
"evening bag"	0.065056
sneaker	0.0649872
knapsack	0.0649579
"belt buckle"	0.0649369
"wrapping paper"	0.0649237
blotch	0.0645752
Sari	0.0640714
"business suit"	0.0640056
tuxedo	0.0639553
barrette	0.0638556
sticker	0.0638193
shawl	0.0637968
"felt hat"	0.0635368
bracelet	0.0633226
"evening dress"	0.063202
"bathing suit"	0.0631579
hairdo	0.0629736
brassiere	0.0628647
"face mask"	0.0627953
bluejeans	0.0624614
"black tie"	0.0620405
"nail polish"	0.0620162
cardigan	0.0618105
emulsion	0.0617949
"contact lense"	0.0616911
regalia	0.0615934
"trench coat"	0.0614667
suede	0.0609532
dreadlocks	0.0604682
"neck brace"	0.0604236
Lei	0.0602317
gunk	0.0596346
feather	0.0592947
leotards	0.0592365
piping	0.0591472
handkerchief	0.0591419
skates	0.0590964
Cape	0.0590584
blouse	0.0588551
moccasin	0.0586371
Bonnet	0.0585911
splotch	0.0584292
bib	0.0582584
mustache	0.0581381
wig	0.0576584
"Jeep Cherokee"	0.0575839
earpiece	0.0575131
bodice	0.0572687
goggles	0.0572025
satin	0.0568877
"rubber band"	0.0568567
accouterment	0.056851
satchel	0.0568039
pigtail	0.056652
"oxygen mask"	0.0562714
hairpiece	0.0562377
"tile roof"	0.0558976
gloves	0.0558695
"blue jean"	0.0558421
kilt	0.0555015
corset	0.0553949
holster	0.0553401
earplugs	0.0552591
bikini	0.0552481
bathrobe	0.0550784
halter	0.0548597
"running shoe"	0.0547886
splint	0.0545847
duster	0.0545526
trousers	0.0544218
pullover	0.0544107
pantyhose	0.0543578
"warning signal"	0.0542949
frock	0.0542677
wader	0.0541828
sarong	0.0541617
sheath	0.0538747
wreath	0.0535188
))
(armchair (desc 8996.68) (sims
sofa	0.178563
"easy chair"	0.177945
chair	0.177252
"side chair"	0.141467
armoire	0.133262
"love seat"	0.12774
recliner	0.127624
"coffee table"	0.117105
couch	0.116621
"writing desk"	0.113189
"rocking chair"	0.112859
furniture	0.111805
settee	0.110976
stool	0.104425
"card table"	0.103522
"lounge chair"	0.101617
mantelpiece	0.101248
"dining table"	0.0974959
"folding chair"	0.0950087
bookcase	0.0949808
banquette	0.0915187
headboard	0.0913208
"lawn chair"	0.0894828
commode	0.0845334
sideboard	0.0844359
paneling	0.0821484
lamp	0.0789336
chandelier	0.0788181
pillow	0.0753664
bookshelf	0.0741537
bed	0.0739769
pew	0.073257
rug	0.0723231
desk	0.0721376
"picture frame"	0.0705002
furnishings	0.0699648
mantel	0.0693513
carpet	0.066916
"piece of furniture"	0.0667453
"conference room"	0.0659163
carpeting	0.0652457
dresser	0.0649096
wastebasket	0.0647616
bleachers	0.0643487
"conference table"	0.0642363
flooring	0.0640743
fireplace	0.0639478
cupboard	0.0638726
alcove	0.0635929
Thong	0.0620333
booth	0.0609491
bathtub	0.0608215
wallpaper	0.0608196
"file cabinet"	0.0603946
staircase	0.0602404
cot	0.0601806
mattress	0.0596008
upholstery	0.0594361
"window frame"	0.0593949
slipper	0.059144
pantsuit	0.058584
woodwork	0.0584402
lectern	0.0581027
"pocket watch"	0.057596
tile	0.0574518
wainscoting	0.0571164
cubicle	0.0568794
kettle	0.0565837
"boxing glove"	0.0564248
"bucket seat"	0.0563186
pajama	0.0563027
Ottoman	0.0558723
"display case"	0.0556025
"ranch house"	0.0554569
chaise	0.0553538
awning	0.0552941
"bunk bed"	0.0549912
closet	0.0546179
"pool table"	0.0545319
wheelchair	0.0538992
molding	0.0534898
decanter	0.0534231
countertops	0.0532813
robe	0.0528798
loafer	0.0527138
drawers	0.0526975
"Jeep Cherokee"	0.0524639
bungalow	0.0522706
"dining room"	0.0522012
linoleum	0.0521494
lampshade	0.0520401
cardigan	0.0517458
lounge	0.0516778
easel	0.0515487
tablecloth	0.0515139
"trash can"	0.0513322
Poncho	0.0512886
armrest	0.0511726
miniskirt	0.0511077
convertible	0.0503791
nook	0.0503346
"teddy bear"	0.0503294
curtain	0.0500412
trouser	0.0497502
satchel	0.0494076
decor	0.0493918
crib	0.0490105
raincoat	0.0488887
chap	0.0487935
"manor house"	0.0487891
earpiece	0.048752
gazebo	0.0485177
coffin	0.0484802
jumpsuit	0.0484248
sneaker	0.0483719
"evening bag"	0.0482846
handbag	0.0480417
sandal	0.0480398
cottage	0.0479901
Casket	0.0478814
"living room"	0.0478515
sweater	0.0475761
frock	0.0475623
pouch	0.047201
"tea set"	0.0470556
storefront	0.0469329
"duffel bag"	0.0466564
sweatshirt	0.0466159
semicircle	0.0466016
wicker	0.0465979
"shower curtain"	0.0465012
siding	0.0464194
jacket	0.0462926
shelf	0.0460767
"kitchen table"	0.0459942
vase	0.0459652
refrigerator	0.0459509
fedora	0.0458987
sculpture	0.045741
panty	0.0457055
"contact lense"	0.0455456
shawl	0.0455096
"waiting room"	0.0453699
balcony	0.0453134
trousers	0.0452593
cage	0.0452537
headstone	0.0451749
bowls	0.0450254
exterior	0.0450232
"box seat"	0.0449491
teapot	0.0448185
knickers	0.0447369
candelabra	0.044474
"evening gown"	0.0444025
"application program"	0.0442
floorboard	0.0441826
metalwork	0.0441003
underwear	0.0440674
"grand piano"	0.0440126
doll	0.0438165
shutter	0.0438011
pedestal	0.043758
urn	0.0437295
typewriter	0.0436551
"leather jacket"	0.0435989
plank	0.0435801
corset	0.0435607
turtleneck	0.0435069
"sewing machine"	0.04346
faucet	0.0432915
"lighting fixture"	0.0432762
pajamas	0.0431179
tub	0.0430138
overcoat	0.0429015
"place mat"	0.0428805
trailer	0.0427988
mahogany	0.0427333
louver	0.042731
"wall hanging"	0.0427166
gown	0.0426635
blouse	0.0426558
gloves	0.0426296
"hot pants"	0.042611
"cowboy hat"	0.0425852
"television set"	0.0425548
"parlor game"	0.0424777
sock	0.0421707
footwear	0.0421679
windbreaker	0.0421559
sheath	0.042127
"dinner plate"	0.0421167
"tile roof"	0.0419209
trunk	0.0418429
toenail	0.0418201
seating	0.0416581
stocking	0.0415842
shack	0.041559
legging	0.0415507
hut	0.0414274
figurine	0.0413721
))
("armed forces" (desc 73512.5) (sims
army	0.255517
military	0.239255
"military force"	0.183312
"Air Force"	0.180135
"police force"	0.178676
"security force"	0.177194
troop	0.174351
force	0.171243
navy	0.156139
government	0.14898
police	0.143819
PLA	0.138258
soldier	0.125394
"naval forces"	0.124439
ministry	0.122777
"Liberation Army"	0.120479
"armed service"	0.119981
Judiciary	0.119924
authority	0.118603
militia	0.116509
"central bank"	0.116462
"military unit"	0.114967
parliament	0.114919
rebel	0.114713
"foreign minister"	0.112498
peacekeeper	0.112417
"military personnel"	0.110716
personnel	0.110492
"political party"	0.110047
"National Guard"	0.108686
agency	0.107679
ECOMOG	0.10731
guerrilla	0.106255
department	0.104468
party	0.104139
"military leader"	0.103932
"business community"	0.103746
institution	0.103465
organization	0.103292
sector	0.102826
KLA	0.102707
TNI	0.101915
"local government"	0.101493
NATO	0.101329
faction	0.100861
"People's Liberation Army"	0.100356
"Foreign Ministry"	0.100332
Ambassador	0.0992149
embassy	0.0981617
"military officer"	0.0980843
"Kosovo Liberation Army"	0.0978713
citizen	0.0978374
businessmen	0.097115
unit	0.0964959
minister	0.0963644
country	0.095564
UNITA	0.095338
battalion	0.094882
"trade union"	0.0945639
"Communist Party"	0.0931578
warplanes	0.0929121
community	0.0928058
militant	0.0926551
economy	0.0924794
society	0.0922252
"head of state"	0.0916073
"United Nations"	0.0913337
"civil service"	0.0913202
"police department"	0.0908094
people	0.0899634
"Interior Ministry"	0.0898196
Brigade	0.0891745
"Yugoslav Army"	0.0890443
enterprise	0.0887308
delegation	0.0883836
"Coast guard"	0.0883587
administration	0.0879844
"federal government"	0.0879224
IRGC	0.0877453
"army officer"	0.0876016
official	0.0874015
policemen	0.0873178
industry	0.0872965
troops	0.0871984
"North Atlantic Treaty Organization"	0.0871194
U.N.	0.0870839
"general staff"	0.0870692
group	0.0870577
cabinet	0.0870469
fighter	0.0869993
national	0.0869059
"U.S. Army"	0.0868555
nation	0.0867316
"African country"	0.086489
"military police"	0.0863781
ally	0.0859842
Hezbollah	0.085462
Alliance	0.0853955
federation	0.0850914
leadership	0.084861
"secret service"	0.0848207
marine	0.0847608
President	0.0847553
leader	0.0839482
KFOR	0.0835311
civilian	0.0828352
ABRI	0.0828
"Defense Ministry"	0.0826752
counterpart	0.0824941
commander	0.082445
"diplomatic mission"	0.0819984
contingent	0.0813801
CPC	0.0810963
officer	0.0810732
"Ministry of Health"	0.0810377
university	0.0809029
"territorial water"	0.0806954
servicemen	0.0804925
PKK	0.0803477
regime	0.079902
diplomat	0.0795496
Iran	0.0794316
state	0.0791282
region	0.0790258
China	0.0790004
General	0.0789712
militiamen	0.0787297
Council	0.0786681
junta	0.0778605
agriculture	0.0775407
"United States"	0.0774407
"financial institution"	0.0773945
security	0.0771697
Serbs	0.0769969
"international organization"	0.0769505
"Justice Ministry"	0.0768634
"nuclear weapon"	0.0768172
opposition	0.0766141
Taliban	0.0761849
Iraq	0.0761833
bank	0.0755475
"legal system"	0.0754181
population	0.0752327
UNIFIL	0.0751924
"European Union"	0.0751608
legislature	0.0751605
system	0.0751012
"banking system"	0.0750909
"law enforcement"	0.0750514
member	0.0750013
constitution	0.0749267
"political leader"	0.0749263
paramilitary	0.0747959
Israel	0.0747561
infantry	0.074746
warship	0.0745527
Congress	0.0745461
insurgent	0.0744419
"task force"	0.0742692
movement	0.0740755
"political system"	0.0740424
company	0.0739931
NPC	0.073935
territory	0.0738164
Pakistan	0.0738097
"air defense"	0.0736357
"foreign policy"	0.0735277
capital	0.073429
squad	0.0732048
MILF	0.0731238
CIA	0.0729093
Republic	0.0725871
staff	0.0724348
commission	0.0722757
UN	0.071857
separatist	0.0717742
locality	0.0715146
"oil industry"	0.0714303
consulate	0.0713214
ruler	0.0712127
"deputy foreign minister"	0.0712062
airline	0.0712036
union	0.0711948
"secret police"	0.071116
"customs service"	0.071056
corporation	0.0710452
"chamber of commerce"	0.071019
"trading partner"	0.0709272
"Philippine National Police"	0.0707166
media	0.0706647
IDF	0.0704944
"Asian country"	0.070363
fleet	0.070274
"finance minister"	0.0701344
OAU	0.0701314
refugee	0.0700246
paratrooper	0.0699231
province	0.0697596
"National Union"	0.0696603
commando	0.0695845
))
("Armed Islamic Group" (desc 3562.21) (sims
"Islamic Jihad"	0.210618
ETA	0.158564
GIA	0.145636
"popular front"	0.144896
"Liberation Tigers"	0.144559
Hamas	0.143668
FALN	0.142403
"World Church"	0.137381
"Congolese Rally"	0.136521
"Muslim Brotherhood"	0.130839
"Revolutionary Armed Forces"	0.128174
"Islamic Resistance Movement"	0.12594
"Real IRA"	0.122683
"National Liberation Army"	0.120275
"Abu Sayyaf"	0.120275
"Nahdlatul Ulama"	0.12024
Wahhabis	0.118638
"Iraqi National Congress"	0.118343
"Sudan People's Liberation Army"	0.114223
"Moro National Liberation Front"	0.111716
"National Democratic Alliance"	0.110139
Amal	0.109587
"Islamic Salvation Front"	0.107958
"Kosovo Liberation Army"	0.107625
Hezbollah	0.106959
"Operation Lifeline Sudan"	0.104688
Islamists	0.103587
"National Liberation Front"	0.102702
"Zapatista National Liberation Army"	0.102387
"Islamic Movement"	0.10173
Fatah	0.101262
"Democratic Unionist Party"	0.100788
"Cuban American National Foundation"	0.100254
"Liberation Tigers of Tamil Eelam"	0.0985183
"Irish Republican Army"	0.0973515
"Promise Keepers"	0.0951626
"National Council of La Raza"	0.0949081
"Log Cabin Republicans"	0.0941971
extremist	0.0940563
Otpor	0.09371
"Moro Islamic Liberation Front"	0.0931647
fundamentalist	0.0925355
MKO	0.0925176
sect	0.0919899
Hezb-i-Islami	0.0902302
"United National Independence Party"	0.0889345
"Revolutionary United Front"	0.0882616
"Orange Order"	0.087931
KNU	0.0876463
"Osama Bin Laden"	0.0876095
"Albanian Kosovo Liberation Army"	0.0874564
insurgent	0.0866066
MNLF	0.0862462
"Tupac Amaru Revolutionary Movement"	0.0857641
"Judicial Watch"	0.084195
"New People's Army"	0.0840931
RCD	0.0836836
MQM	0.083613
"Human Rights Campaign"	0.0828495
"Hezbollah (Party"	0.0827053
"National Democratic Front"	0.0826604
"Democratic Leadership Council"	0.0822537
"Union of Right Forces"	0.0819909
"National Front"	0.0813942
Greenpeace	0.0813196
mujahedeen	0.0809548
"Liberation Front"	0.0806417
Laden	0.0792297
ELN	0.0783357
"Allied Democratic Forces"	0.077816
"Sunni Muslims"	0.0770919
"Wine Institute"	0.0764792
"Ku Klux Klan"	0.0763449
"Kurdistan Workers Party"	0.075617
"Lord's Resistance Army"	0.0754605
KLA	0.0753919
militia	0.0753915
separatist	0.075195
"Kurdish Workers Party"	0.0750138
"Herri Batasuna"	0.0745111
FARC	0.0737274
Kamajors	0.0735189
"Recording Industry Association of America"	0.0734247
EPR	0.0733944
Jamaat-e-Islami	0.0726782
contras	0.0721652
"China Democracy Party"	0.0714188
cult	0.0708599
"Violence Policy Center"	0.0706586
"Pakistan Muslim League"	0.0705869
"Families USA"	0.0702082
"Air Transport Association"	0.069901
"United National Party"	0.069475
"Aum Shinrikyo"	0.0693305
"Kurdish Workers"	0.0692271
"Inkatha Freedom Party"	0.0689012
Uighurs	0.0687627
UNITA	0.0686621
"Democratic Action"	0.0685477
"National Liberation"	0.0681355
"Family Research Council"	0.0679221
"National Religious Party"	0.0678407
"Commission on Presidential Debates"	0.0674654
"Greek Orthodox Church"	0.0674455
"Bharatiya Janata Party"	0.0673239
"religious movement"	0.0672711
Mensa	0.0665489
kidnapper	0.0663582
"National Abortion and Reproductive Rights Action League"	0.0658426
"paramilitary organization"	0.0657524
paramilitary	0.0656759
insurgency	0.06554
IRA	0.0654942
"Black Panthers"	0.0654127
"World Jewish Congress"	0.0652242
LTTE	0.0651076
"Electronic Privacy Information Center"	0.0646763
guerilla	0.0646224
tribesmen	0.0645987
"National Council of Churches"	0.0645215
"Colorado Party"	0.0644711
Mafia	0.064448
"Serbian Radical Party"	0.0644303
"Human Rights Watch"	0.0641396
"Kurdistan Democratic Party"	0.0639104
"Radical Party"	0.0637748
"Russian Orthodox Church"	0.0633001
"National Union for Total Independence"	0.0632572
"Democratic Front"	0.0630445
"Handgun Control Inc."	0.0629675
"Congress Party"	0.0628947
cartel	0.0627003
"National Association of Securities Dealers"	0.0626799
"Conference Board"	0.0626564
Chechens	0.062482
"Tamil Eelam"	0.062369
"Aryan Nations"	0.0622627
PKK	0.0621781
bandit	0.0619399
Chinese-Indonesians	0.0616825
"African National Congress"	0.0613647
RUF	0.06121
"Caribbean Community"	0.0611754
"Center Party"	0.0610512
"Amnesty International"	0.0609001
"National League for Democracy"	0.0608281
socialist	0.0606402
Interahamwe	0.0602673
Renamo	0.0601394
"Khmer Rouge"	0.0600589
"Shamil Basayev"	0.0599588
"Mormon Church"	0.0597024
"Southeastern Legal Foundation"	0.0595768
"Virtue Party"	0.0595418
Algerian	0.0593287
"Business Council"	0.0592422
"National Union"	0.0592396
"Lebanese Hezbollah"	0.0590013
"Securities Industry Association"	0.0584259
PUK	0.058287
"Republican Leadership Council"	0.0581973
"Transparency International"	0.0577619
"Popular Party"	0.0577015
NPA	0.0575426
"political movement"	0.0575001
"Palestine Liberation Organization"	0.0572685
"National Alliance"	0.0570903
"Anti-Defamation League"	0.0569248
"Republican Guard"	0.0566776
NRA	0.0566515
Jihad	0.0566367
"Rashid Dostum"	0.0564735
"District Council"	0.0563923
"Congressional Black Caucus"	0.0563741
"National Council"	0.05632
"Falun Gong"	0.0562516
anarchist	0.0562298
"International Rescue Committee"	0.0559235
"Handgun Control"	0.0558338
"Democratic Progressive Party"	0.0558156
"National Police"	0.0558125
Sandinistas	0.0555803
"Indian Air Force"	0.0555544
Hindu	0.0551698
"Liberation Army"	0.0550241
MILF	0.0549066
"Palestinian Liberation Organization"	0.0547932
"Indonesian Armed Forces"	0.0547565
"Rainbow/PUSH Coalition"	0.0544476
"feminist movement"	0.0544084
"U.N. Special Commission"	0.0543285
"Jehovah's Witnesses"	0.0543175
"American Association of Retired Persons"	0.0542242
MRTA	0.0541848
LRA	0.0539244
"People's Party"	0.0538983
NDF	0.0537816
Protas	0.0536261
"Rwandan Patriotic Front"	0.0536019
G-@@	0.0535771
))
("Armed Police" (desc 1344.2) (sims
IRGC	0.114684
"Liberation Army"	0.0997505
"Revolutionary Guards"	0.0813788
SANDF	0.08022
"regular army"	0.0788224
"Vietnamese Communist Party"	0.0781234
"United Nations Interim Force in Lebanon"	0.0777358
"Islamic Revolutionary Guards Corps"	0.0765947
"Association for Friendship"	0.0755499
"military police"	0.0735159
"Islamic Revolution Guards Corps"	0.0732709
PLA	0.0728395
"Yugoslav Army"	0.0716675
UNIFIL	0.0712059
"People's Liberation Army"	0.0707062
"Baath Party"	0.0704909
"General Security Service"	0.0701712
"Air National Guard"	0.0696247
"Liberation Front"	0.0687869
"National Guard"	0.0671728
"Public Security Ministry"	0.0669003
"Uganda People's Defense Forces"	0.0659163
"Republican Guard"	0.0638979
"Federal Security Service"	0.0602652
"South African National Defense Force"	0.0601794
"fire brigade"	0.0599731
"Political Consultative Conference"	0.0585925
"Northern Fleet"	0.0581816
"National Security Agency"	0.0581455
"Universal Postal Union"	0.0578192
gendarmerie	0.0575138
CCF	0.0572483
"U.N. Interim Force in Lebanon"	0.0570537
"University of China"	0.0567544
Filtration	0.0565278
"Liberation Movement"	0.0563999
NRM	0.0563382
"political commissar"	0.0551245
"National Intelligence Service"	0.0543294
"Self-Defense Forces"	0.0542922
mujahedeen	0.0538307
"civil defense"	0.053347
"Israel Defense Forces"	0.0530789
"Indonesian Armed Forces"	0.0529607
"civil authority"	0.0528574
"Hezbollah (Party"	0.052843
"Special Forces"	0.0526063
RCMP	0.0524957
plainclothes	0.0522468
"Justice Ministry"	0.0518158
"Infantry Battalion"	0.0518042
Juma	0.0517325
"Ministry of Personnel"	0.051633
"United National Independence Party"	0.0515687
"International Rescue Committee"	0.051163
Sumaye	0.0509377
"Construction Bank of China"	0.0507179
"Russian Defense Ministry"	0.0503218
"broadcast media"	0.0502112
BSF	0.0500904
"dog bite"	0.0500664
Dostum	0.0499536
"United Nations Environment Program"	0.0499443
paratrooper	0.0498565
"South Lebanese Army"	0.0493227
CPV	0.0491317
"Revolutionary Party"	0.0490523
"Progressive Party"	0.0489243
"Mather Worldwide"	0.0480195
airforce	0.0478678
"U.S. Coast Guard"	0.0478557
Searle	0.0477446
"Intelligence Ministry"	0.0476693
RRA	0.0475278
Roadrunner	0.0474763
"Joaquim Chissano"	0.0465833
"National Convention"	0.0462976
Interpol	0.0460403
"Bosnian Muslim"	0.0460265
"Israeli Arabs"	0.045912
UNAMSIL	0.0457532
MI@	0.0456729
Zairean	0.0456499
"Implementation Force"	0.0454427
"Royal Navy"	0.0453363
"Northern Alliance"	0.0452831
Cray	0.045243
Peoples	0.0451508
"U.S. Customs Service"	0.0450386
Kamajors	0.0447115
"Chief Executive Tung Chee-hwa"	0.0446112
"U.S. Immigration and Naturalization Service"	0.0445462
"Southern Command"	0.0445271
Zanu-pf	0.0442189
SFOR	0.0441839
UNMIK	0.0438922
minesweeper	0.0436131
EX-COMMUNISTS	0.0434062
Marconi	0.0431048
"BBDO New York"	0.0429261
"Federal Highway Administration"	0.0428194
Cyrix	0.0427108
"Veterans Administration"	0.0425995
"Immigration Department"	0.0425867
SAS	0.0424945
"United Nations High Commission for Refugees"	0.0424253
"Electoral Commission"	0.0423563
"Better Business Bureau"	0.0418085
Guinean	0.0416603
PNP	0.041507
Procuratorate	0.0414902
PCF	0.0413399
"Viet Cong"	0.040904
"Kraft Foods"	0.0407986
IDF	0.0407694
"Royal Canadian Mounted Police"	0.0406748
"Israeli Defense Forces"	0.0404693
"Air Force Reserve"	0.0402015
"Russian Interior Ministry"	0.0401227
VISTEON	0.0401215
))
("armed robbery" (desc 14018.6) (sims
robbery	0.321802
burglary	0.294109
arson	0.251362
kidnapping	0.249921
theft	0.229036
extortion	0.223319
"sexual assault"	0.219091
hijacking	0.206348
racketeering	0.206118
"grand larceny"	0.203991
rape	0.201752
abduction	0.198973
larceny	0.19726
manslaughter	0.196763
forgery	0.193729
embezzlement	0.19118
"drug trafficking"	0.190289
homicide	0.18815
sodomy	0.186127
holdup	0.186017
"child abuse"	0.182957
"mail fraud"	0.17985
vandalism	0.177601
smuggling	0.173491
carjackings	0.168695
murder	0.167299
endangerment	0.166863
"securities fraud"	0.164099
break-in	0.160737
assault	0.159416
"tax evasion"	0.159381
shoplifting	0.159123
bribery	0.157006
treason	0.154796
molestation	0.152675
"money laundering"	0.151699
looting	0.151147
trafficking	0.149786
conspiracy	0.147842
felony	0.145591
banditry	0.144708
subversion	0.142621
prostitution	0.135003
gunrunning	0.134282
sedition	0.133909
crime	0.133411
fraud	0.132707
"assault and battery"	0.131103
assassination	0.126476
piracy	0.125394
"resisting arrest"	0.123619
slaying	0.123509
espionage	0.120866
"drive-by shooting"	0.120802
"high treason"	0.120449
sabotage	0.120099
killing	0.118885
mugging	0.118809
terrorism	0.118449
heist	0.117491
"insider trading"	0.117043
torture	0.116019
graft	0.115662
genocide	0.114863
bribe-taking	0.114683
"organized crime"	0.11468
hostage-taking	0.114128
incest	0.113339
"mass murder"	0.112468
rioting	0.108008
possession	0.107157
bombing	0.10664
abuse	0.106578
"disorderly conduct"	0.106363
poaching	0.106195
corruption	0.104769
trespass	0.104459
tampering	0.103529
spying	0.102559
"drug abuse"	0.10212
stalking	0.0994158
harassment	0.0991028
blackmail	0.0983018
violation	0.0981893
incitement	0.0981352
mutiny	0.0964531
beating	0.0964506
misdemeanor	0.0957985
"bomb blast"	0.095233
"contempt of court"	0.0950643
pillage	0.0942116
suicide	0.0939412
stabbings	0.0936555
mutilation	0.0932555
perjury	0.0931825
poisoning	0.0929411
ambush	0.0923867
"war crime"	0.0919983
"breach of trust"	0.091584
maiming	0.0909768
"juvenile delinquency"	0.0906032
driving	0.0895074
rustling	0.0894262
shooting	0.08939
"stolen property"	0.0891835
scam	0.088968
violence	0.08891
"coup attempt"	0.0888178
misappropriation	0.088805
indecency	0.0887821
massacre	0.0882274
offence	0.0878563
misconduct	0.0871531
"false imprisonment"	0.0869415
obstruction	0.0867972
intimidation	0.0867703
negligence	0.0845472
riot	0.0844786
cover-up	0.0830088
solicitation	0.0804268
libel	0.0798391
malpractice	0.0792518
"sexual harassment"	0.0786955
dereliction	0.0786326
complicity	0.0781942
atrocity	0.0773225
infanticide	0.0763548
mischief	0.0755435
burnings	0.075279
blasphemy	0.0743522
battery	0.0742007
coverup	0.0739645
lawlessness	0.0724042
cruelty	0.0720514
defamation	0.0720505
"fatal accident"	0.0715756
"drug use"	0.0708579
irregularity	0.0705257
"drug sale"	0.069991
adultery	0.0699209
brutality	0.0691665
"murder charge"	0.0686519
"sex act"	0.0686003
incident	0.0683146
disturbance	0.0682394
raid	0.0679504
evasion	0.0679277
"drug case"	0.0677463
price-fixing	0.0676316
"bank failure"	0.0673434
persecution	0.0673093
explosion	0.0672229
swindle	0.067202
wrongdoing	0.0667101
criminal	0.0657811
"drug addiction"	0.0654193
firearm	0.0651163
hooliganism	0.0645315
plagiarism	0.0644555
disappearance	0.0641956
gambling	0.0635383
accident	0.0634383
"drug trade"	0.0631937
misuse	0.0625058
infringement	0.0617931
manipulation	0.0616404
destruction	0.0616401
cleansing	0.0609448
shootouts	0.0608829
mega-mergers	0.0608377
vote-buying	0.0605962
"rape conviction"	0.0604279
"breach of contract"	0.0603295
"election fraud"	0.0601581
pornography	0.0594452
incursion	0.0589081
malfeasance	0.0588007
"lying under oath"	0.0587576
"drug traffic"	0.0586512
Stabbing	0.0585898
Execution	0.0585481
drownings	0.0582765
dumping	0.0574216
mismanagement	0.0573002
enrichment	0.0572806
desertion	0.0569706
falsification	0.0569611
"fraud charge"	0.0566935
seizure	0.0566193
narcotic	0.0566055
impropriety	0.0565906
spree	0.0565887
maltreatment	0.0563576
"false statement"	0.0559436
gang	0.0559428
separatism	0.0556723
deportation	0.0554857
"crime wave"	0.05548
abandonment	0.0552907
contempt	0.0550448
))
("armed service" (desc 5218.28) (sims
"armed forces"	0.119981
"Foreign Relations"	0.107026
Judiciary	0.0938605
"Air Force"	0.0850573
"Air National Guard"	0.0842559
"National Guard"	0.0801824
"Texas Senate"	0.0743016
"merchant marine"	0.0716792
"military service"	0.0702996
"civil service"	0.0698365
"House International Relations Committee"	0.0693954
"PLO Executive Committee"	0.0688516
"South African National Defense Force"	0.0681263
CMAG	0.0679542
navy	0.0667212
"Football Association"	0.0665504
"military force"	0.0657599
PLA	0.0657146
"educational institution"	0.0653042
"Republican House"	0.0648353
"Army Air Corps"	0.064418
"Los Angeles Police Department"	0.0639983
"People's Liberation Army"	0.0638998
"US House"	0.0630995
"Marine Corps"	0.0620379
"fire department"	0.0613611
"Congressional Black Caucus"	0.0613289
"U.S. Senate"	0.060964
RNC	0.060866
SPDC	0.0607736
"blue ribbon"	0.060466
"military personnel"	0.0603578
"regular army"	0.0603165
"Peace Corps"	0.0601873
"Texas House"	0.0601659
ITF	0.0600853
"Alcoholics Anonymous"	0.0597883
appropriation	0.0596848
"Royal Ulster Constabulary"	0.0595146
workforce	0.0595095
UNAMET	0.059479
"police force"	0.059251
"Texas Air National Guard"	0.0587046
paratroops	0.0584261
"Banking Committee"	0.0584177
"fire brigade"	0.0580826
"tax system"	0.0576896
"House Appropriations Committee"	0.0576087
"civil defense"	0.0575422
sorority	0.0572588
NASD	0.057135
"Commerce Committee"	0.0571103
SANDF	0.0570903
"Homo erectus"	0.0569405
"religious order"	0.0568631
"planning commission"	0.0567694
"space program"	0.0567313
"House Commerce Committee"	0.0565822
"Air Force Reserve"	0.0565731
Mensa	0.0559539
"military unit"	0.0558901
MNLF	0.0558677
"customs service"	0.0557244
DNC	0.0557205
"Russian Space Agency"	0.0556562
"social group"	0.0553076
pacification	0.0552195
"world organization"	0.0551865
"school system"	0.0551571
"spy satellite"	0.0548416
gendarmerie	0.0548234
"secret service"	0.0546272
"Senate Appropriations Committee"	0.0545294
"Self-Defense Forces"	0.0543538
"security force"	0.0542772
"monetary system"	0.0542467
"U.S. Army"	0.0541979
"Likud Party"	0.0540596
"U.S. Congress"	0.0540586
"Senate Governmental Affairs Committee"	0.0539485
"defense system"	0.0536658
NIH	0.0535704
"United States Senate"	0.0535093
"Justice Ministry"	0.0533826
"NATIONAL SECURITY"	0.0532323
"Air Line Pilots Association"	0.0530584
WEU	0.0530196
"British Parliament"	0.0527695
"major-league team"	0.0526218
"Indonesian Armed Forces"	0.0522374
"National Academy of Sciences"	0.0520513
"House of Lords"	0.0518236
"National Police"	0.0515943
"Islamic Revolution Guards Corps"	0.0515282
"Yugoslav Army"	0.0515117
"finance committee"	0.051372
infantrymen	0.0512111
"China Democracy Party"	0.0511924
PNP	0.0511515
"secret society"	0.0507471
"Appropriations Committee"	0.0505996
"Coast guard"	0.0505489
"military capability"	0.0505053
"leadership position"	0.0503582
JMC	0.0502308
Ci	0.0502054
Lakas	0.0501994
"public works"	0.0500375
commune	0.0499287
CAS	0.0497829
CEC	0.049701
"US Senate"	0.0495976
counterintelligence	0.0495325
"artillery unit"	0.0493885
"Royal Air Force"	0.0492977
"work unit"	0.0492932
"U.S. Border Patrol"	0.0491829
soliders	0.0490128
UNIP	0.0489534
"House Government Reform Committee"	0.0489398
"Department of Defense"	0.0487115
CSC	0.0486693
"regulatory agency"	0.0486021
autoworkers	0.0484567
workplace	0.0483338
"military academy"	0.0482939
"Moro National Liberation Front"	0.0482813
TNI	0.0482104
"Russian Security Council"	0.0482044
"Senate Armed Services Committee"	0.0481213
"diplomatic corps"	0.0480611
"weapons system"	0.0478484
"direct action"	0.0478461
"Real IRA"	0.047762
"Federal Security Service"	0.0477263
Interpol	0.0476351
"police department"	0.0476273
Comelec	0.047381
"Labour Party"	0.0472195
NDF	0.0471996
"labor market"	0.0471511
"Communist Party"	0.0470868
"New York Republicans"	0.0470736
"Senate Judiciary Committee"	0.0470481
COMESA	0.0470342
House-Senate	0.0469901
"Atomic Energy Commission"	0.0468061
"Ways and Means Committee"	0.0466544
"Forest Service"	0.0466
"naval forces"	0.0464802
"work group"	0.0464701
"Protestant denomination"	0.0464641
"Vietnamese Communist Party"	0.0464358
firemen	0.0463134
PECC	0.0462371
SDS	0.0462309
"futures exchange"	0.0461693
metropolises	0.0459682
"Institute of Medicine"	0.0459591
"Nevada Athletic Commission"	0.0459388
PICC	0.0459117
"Philippine Senate"	0.0456703
"electric company"	0.0456648
"fire fighter"	0.0456444
"business organization"	0.045639
"New York Police Department"	0.0455984
"Strategic Petroleum Reserve"	0.045578
Brigade	0.0455321
FA	0.0455293
"security interest"	0.0454993
"state legislature"	0.0454267
Zanu-pf	0.0453994
Politburo	0.0453865
CPPCC	0.0453169
"Conservative Party"	0.0452665
PDP	0.0452561
"Central High School"	0.0451971
PCF	0.0451737
MPLA	0.0449713
SLOC	0.0449186
"film industry"	0.0449052
"Electoral Commission"	0.0448226
"General Security Service"	0.0447102
"juvenile court"	0.0446785
denomination	0.0445703
"Monetary Policy Committee"	0.0444696
academia	0.044447
IDF	0.0443945
guild	0.0443086
"military police"	0.0442654
"National Institutes of Health"	0.0442488
picketers	0.0441956
"electoral system"	0.0441595
"Public Service Commission"	0.0441532
"auto company"	0.0441192
"military installation"	0.0440893
PCC	0.0440315
"Revolutionary Guards"	0.0438329
"health service"	0.0437653
"Senate Budget Committee"	0.043754
))
(Armenia (desc 21225.9) (sims
Moldova	0.245569
Azerbaijan	0.242433
Uzbekistan	0.215275
Lithuania	0.214973
Kyrgyzstan	0.212591
Ukraine	0.211129
Kazakhstan	0.199065
Latvia	0.197486
Bulgaria	0.195083
Turkmenistan	0.190337
Belarus	0.188984
Estonia	0.183308
Slovenia	0.18218
Romania	0.18177
Hungary	0.177822
Kazakstan	0.168932
Tajikistan	0.165729
Poland	0.160295
Slovakia	0.159261
Kirghizstan	0.156552
Ecuador	0.154288
Algeria	0.153987
Iceland	0.150515
Greece	0.149156
Croatia	0.147602
Albania	0.147269
Macedonia	0.147141
Mongolia	0.145519
Malta	0.1447
Turkey	0.144473
Peru	0.144338
Yemen	0.142231
Finland	0.142006
Iran	0.140953
Namibia	0.139515
Norway	0.139032
Bahrain	0.138582
Senegal	0.135136
Qatar	0.134017
Russia	0.133792
Portugal	0.133224
Pakistan	0.13175
Oman	0.131706
Nicaragua	0.131326
"South Korea"	0.131302
Guatemala	0.130318
Ethiopia	0.129873
"El Salvador"	0.129095
Egypt	0.128236
Tunisia	0.127954
Bosnia-Herzegovina	0.127665
Georgia	0.127572
Colombia	0.127452
Venezuela	0.126662
Yugoslavia	0.125937
"Czech Republic"	0.125817
Luxembourg	0.125593
Republic	0.125354
Austria	0.124738
Paraguay	0.124533
Indonesia	0.124005
Morocco	0.123034
"Papua New Guinea"	0.122875
"Sri Lanka"	0.122565
Uruguay	0.121942
Togo	0.121192
Kuwait	0.120671
Ghana	0.120662
India	0.119431
Mozambique	0.118394
Honduras	0.118292
Zambia	0.118178
Cyprus	0.118078
Syria	0.11788
Cuba	0.11757
Italy	0.117312
"Saudi Arabia"	0.116178
Liechtenstein	0.116113
Denmark	0.116067
Spain	0.115954
Switzerland	0.115884
"South Africa"	0.115496
Botswana	0.115154
Sudan	0.114998
Haiti	0.114897
Panama	0.11479
Cambodia	0.114599
Mali	0.114587
Bangladesh	0.114554
Abkhazia	0.114007
Malawi	0.113827
Angola	0.113618
Thailand	0.113524
Libya	0.113298
Eritrea	0.113194
Madagascar	0.113057
Kenya	0.11305
Laos	0.112822
Argentina	0.11269
"Dominican Republic"	0.112017
Germany	0.111831
Ireland	0.111543
Belgium	0.11143
Zimbabwe	0.111422
Guinea	0.111321
Nigeria	0.110997
Sweden	0.110966
Israel	0.109634
Benin	0.109224
Chile	0.108514
Niger	0.108462
Vietnam	0.108141
Gabon	0.108087
Bolivia	0.107914
Lebanon	0.107665
"United Arab Emirates"	0.107644
"Costa Rica"	0.107386
Cameroon	0.106983
France	0.106893
Malaysia	0.106724
Uganda	0.106283
Andorra	0.105523
Lesotho	0.105348
"Sierra Leone"	0.105277
Afghanistan	0.104677
Tanzania	0.104666
Mexico	0.104546
Cameroun	0.104352
"Ivory Coast"	0.103754
Netherlands	0.103342
Montenegro	0.102667
Brazil	0.10254
KIEV	0.102327
China	0.102033
Nepal	0.101574
Japan	0.101379
Bosnia	0.101181
Liberia	0.100557
Serbia	0.0999197
Philippines	0.0991275
Canada	0.0986975
Yerevan	0.0979876
Iraq	0.0975419
UAE	0.0974022
"African nation"	0.0973819
"New Zealand"	0.0971385
Chechnya	0.0969941
"San Marino"	0.0963597
Britain	0.0961554
Mauritius	0.0961076
Jamaica	0.0958854
Guyana	0.0958266
"North Korea"	0.0956251
Brunei	0.0955344
"African country"	0.0952421
Burundi	0.0950393
"Russian Federation"	0.0945415
Tadzhikistan	0.0943737
Taipei	0.0940828
Australia	0.0936056
Palestine	0.093317
Taiwan	0.0931397
Fiji	0.0930239
Burma	0.0918468
Singapore	0.091475
Rwanda	0.0911448
"Northern Ireland"	0.0907934
Congo	0.0903194
"Burkina Faso"	0.0902682
"Asian nation"	0.0900363
"Asian country"	0.0897172
"Trinidad and Tobago"	0.0889808
Djibouti	0.0888347
"United States"	0.08873
Scotland	0.0886603
DPRK	0.0880609
Guinea-Bissau	0.0874188
Moscow	0.0873808
Maldives	0.0873531
Barbados	0.0872269
Bhutan	0.0867969
Jordan	0.0864607
PNG	0.086006
Czechoslovakia	0.0855565
Dagestan	0.085415
Chad	0.0854143
Swaziland	0.0841876
Tbilisi	0.0838627
Kingdom	0.0835121
"Central American country"	0.0834412
Zaire	0.0832964
ANKARA	0.0831795
"St. Petersburg"	0.0831157
Seychelles	0.0829935
Myanmar	0.0822377
"Balkan country"	0.0822039
Minsk	0.0815527
Dushanbe	0.0801983
"European country"	0.0795925
"Puerto Rico"	0.07935
))
(Armenian (desc 6491.89) (sims
Latvian	0.193343
Belarusian	0.17018
Belarussian	0.168027
Lithuanian	0.163061
Azerbaijani	0.162547
Uzbek	0.153783
Kazakh	0.151683
Montenegrin	0.150253
Ukrainian	0.148872
Estonian	0.148375
Turkish	0.140429
Moldovan	0.139428
Kyrgyz	0.136895
Ingush	0.133488
Icelandic	0.131939
Greek	0.131076
Ivorian	0.130392
Korean	0.128356
Azeri	0.125697
Tajik	0.125183
Finnish	0.124287
Irish	0.123149
Portuguese	0.122882
"Middle Eastern"	0.120279
Slovak	0.11972
Ecuadorean	0.119207
Kazak	0.118987
"Sri Lankan"	0.118696
"Eastern European"	0.118554
Camerounian	0.116286
Turkmen	0.115365
Abkhazian	0.11489
"Irish Catholic"	0.11475
Korean-American	0.114393
Chechen	0.111597
"Kosovar Albanian"	0.111177
"Bosnian Muslim"	0.11073
Maltese	0.108887
Ecuadoran	0.106972
Swedish	0.106773
Kurdish	0.106308
non-European	0.104628
"North African"	0.103798
Bengali	0.102504
Rwandese	0.10239
Danish	0.100365
"Turkish Cypriot"	0.100186
Coptic	0.0990946
Sephardic	0.0970535
"Costa Rican"	0.0952726
"Sierra Leonean"	0.0950661
Tibetan	0.0928269
"Saudi Arabian"	0.0924515
"Orthodox Jewish"	0.0923923
Kosovar	0.0923374
Khmer	0.0899626
"South Korean"	0.0896351
"Orthodox Christian"	0.08914
Zairian	0.0889252
Spanish	0.0888899
Croat	0.0887735
"Greek Cypriot"	0.0885125
"Ethnic Albanian"	0.0876653
Irish-American	0.0862683
French	0.0857836
Latin	0.085714
"American Jewish"	0.0852283
Arab-American	0.0848358
"Kosovo Albanian"	0.0842533
Ijaw	0.0838095
"North Korean"	0.0836531
Slovakian	0.0833166
non-Jewish	0.0831848
nonwhite	0.083158
Sinhala	0.0830441
"South Vietnamese"	0.0828605
BASQUE	0.0827455
Yiddish	0.0827141
Ukranian	0.0817653
Breton	0.0817381
"West African"	0.0817274
Hungarian	0.081158
Scottish	0.0809386
Dutch	0.0804962
"French Canadian"	0.0790793
Botswanan	0.0788513
"Puerto Rican"	0.0777532
Afrikaans	0.0776674
Acadian	0.0775421
Catalan	0.0774326
Arabic	0.0770654
non-Catholic	0.0768878
Lao	0.0765918
Anglo	0.0759167
Cuban-American	0.0752684
Hmong	0.0752293
"South African"	0.0750577
Mexican-American	0.0747521
Asian-American	0.0743058
Slavic	0.0733456
Tutsi	0.0733198
Presbyterian	0.0732733
Soviet	0.072694
Flemish	0.0723688
Hutu	0.0723657
Philippine	0.0718648
Kurd	0.0714337
hardline	0.0709312
"Bosnian Serb"	0.070827
"African American"	0.0701902
PNG	0.0698338
"Roman Catholic"	0.0698314
Kashmiri	0.0695576
"Central American"	0.0690478
Amish	0.068824
Berber	0.0685928
"Bosnian Croat"	0.0680048
Hindi	0.0674368
Farsi	0.0670618
"South Asian"	0.0668372
Vietnamese	0.0667879
"Israeli Arab"	0.0660627
"Four million"	0.0657846
Italian-American	0.0654898
Urdu	0.0649294
"Latin American"	0.0648703
Okinawan	0.0643731
ROK	0.0638232
"Republican House"	0.0636873
Hausa	0.0635261
"Southeast Asian"	0.063256
"Asian American"	0.0631714
Arab	0.0628537
Bulgarian	0.0628415
Creole	0.0628411
Georgian	0.06267
MMD	0.0625337
Luxemburg	0.0623295
Romanian	0.0622114
Swahili	0.0612314
Catholic	0.0609378
Chinese-American	0.0605151
"About three million"	0.0596771
Hasidic	0.0595849
"Shiite Muslim"	0.0594917
"Southern Baptist"	0.0592573
Welsh	0.0588485
Cantonese	0.0587375
Balkan	0.058649
non-Hispanic	0.0583704
Muslim-Croat	0.0583428
pro-Islamic	0.0580224
Sandinista	0.0579777
Indonesian	0.0569359
Aramaic	0.0567992
Timorese	0.0559937
"East African"	0.0558203
"Tibetan Buddhist"	0.0556723
Nepalese	0.0554195
Uygur	0.0552236
Mennonite	0.0548832
Malay	0.0546998
Navajo	0.0538985
Taleban	0.0537921
Japanese-American	0.0536685
Mayan	0.0536546
"Hispanic American"	0.053584
Shiite	0.0535597
pan-African	0.0535235
Roman	0.0529632
"American Indian"	0.0528976
"working class"	0.0522619
Cajun	0.0520115
"Western European"	0.0519852
Sudanese	0.0517058
"Senate Republican"	0.0515728
Celtic	0.0515388
"native American"	0.051403
Hebrew	0.0513541
Sikh	0.0513236
Germanic	0.0511573
Gypsy	0.0508202
"East German"	0.0507777
Kiswahili	0.050541
Baptist	0.0504967
Hawaiian	0.0504454
non-Indian	0.0503125
slain	0.0502477
"nearly @ million"	0.0502441
Banyamulenge	0.0498848
Yoruba	0.0498807
"nearly @@@"	0.0498349
"West Indian"	0.0496855
Tatar	0.049342
Somaliland	0.049283
"roughly @@@,@@@"	0.0491884
"nearly @@@,@@@"	0.0491853
"Central Asian"	0.0491032
pro-western	0.0486761
"up to @,@@@"	0.048066
))
(Armenians (desc 6520.21) (sims
"European Jews"	0.14599
Kurds	0.135274
Turk	0.133432
Cambodian	0.132004
Ukrainians	0.131775
"Albanian Kosovars"	0.124634
Tutsis	0.122669
Somali	0.11787
Greeks	0.117176
"Kosovar Albanians"	0.115357
Bosnians	0.111343
Sudanese	0.109737
"Greek Cypriots"	0.108689
Bulgarian	0.108439
Koreans	0.106238
"North Koreans"	0.105246
Georgian	0.104659
Albanian	0.101014
Vietnamese	0.0994745
Tutsi	0.0977528
Kosovars	0.0977365
Hutus	0.0972717
Chechens	0.097214
Croats	0.0970857
Burundian	0.0963347
Jew	0.0956572
"Israeli Arabs"	0.0951772
Eritrean	0.0934152
Serbs	0.0925738
Tibetans	0.0915632
"East Timorese"	0.090917
Muslim	0.0903756
Nicaraguan	0.089566
Muscovite	0.0884396
"Shiite Muslims"	0.0879258
Guatemalan	0.0877362
Rwandan	0.085337
Afghan	0.0847321
Cuban-Americans	0.0846387
Salvadoran	0.0843083
"Sri Lankans"	0.0840619
"Cuban Americans"	0.0838119
Algerian	0.0821637
"Kosovo Serbs"	0.0817458
Liberian	0.0816434
Orthodox	0.080833
Angolan	0.0801887
Iranian	0.0800379
Iraqi	0.0792769
Filipino	0.079222
Moslem	0.0791956
Hindu	0.0788297
foreigner	0.0784435
Ethiopian	0.0778875
Sikh	0.0777614
"Orthodox Jews"	0.0762907
Lebanese	0.0754888
"Russian Jews"	0.0754715
Hungarian	0.0748013
nonwhites	0.0746005
"Kosovo Albanians"	0.0745111
Jordanian	0.0743924
Arab	0.0737485
"Iraqi Kurds"	0.0736981
Haitian	0.0734867
Gypsy	0.0734352
Egyptian	0.0734059
Serbians	0.0727092
"New Zealander"	0.0723727
Ugandan	0.0722974
"North Africans"	0.0718189
Pakistani	0.0715956
Mexican	0.071473
Zairean	0.071071
Dominican	0.0707823
Copt	0.069785
enrollee	0.069048
Beijingers	0.0687799
protestor	0.0687362
Californian	0.068364
inhabitant	0.0680666
Mozambican	0.0680122
worshiper	0.0672763
settler	0.0669729
Nigerian	0.0665441
Moroccan	0.0663531
Chilean	0.0660648
"Orthodox Christians"	0.0657919
Kenyan	0.0657233
pilgrim	0.0656037
Bangladeshi	0.0654376
"farm worker"	0.0652959
Syrian	0.0650109
Baptists	0.0649747
"Turkish Cypriots"	0.0647686
Chinese-Indonesians	0.0640629
OFWs	0.064037
Lithuanians	0.0637754
Congolese	0.0635706
Honduran	0.0626872
Slav	0.0625495
soliders	0.0625246
"Puerto Rican"	0.0625039
Floridian	0.0624397
worshipper	0.0620335
non-Serbs	0.0616897
Buddhist	0.061625
first-grader	0.0614868
migrant	0.0614034
Mormon	0.0611531
Colombian	0.0610026
illegals	0.0608148
Tamil	0.0606653
Zimbabwean	0.0606644
Nepalese	0.0601229
Shiite	0.0600675
Webdale	0.0596814
Hispanic	0.0593937
Cypriot	0.0593496
Biko	0.0590728
follower	0.0589708
"Asian Americans"	0.0587383
peasant	0.0586913
Briton	0.0584934
motorcyclists	0.0583113
Montenegrins	0.0582884
Latino	0.0582753
Austrian	0.0581597
villager	0.0581129
"coal miner"	0.0575518
herdsmen	0.0575428
Indonesian	0.0573809
"Bosnian Muslims"	0.0573799
reveler	0.0569477
Asian-Americans	0.0569226
Persian	0.0568327
Anglican	0.0567742
Romanian	0.0563924
squatter	0.0563529
Chicagoans	0.0563231
farmworkers	0.0557616
"domestic animal"	0.0556269
noncombatant	0.0555851
Ghanaians	0.0555227
reservist	0.0553031
VMs	0.0552282
"heroin addict"	0.0551226
Latvians	0.0548371
Chinese-Americans	0.0546828
westerner	0.054451
Lutheran	0.0543223
"South Koreans"	0.0543194
"Roman Catholic"	0.0542185
Taiwanese	0.054202
"Sierra Leonean"	0.0541738
Tanzanian	0.0539557
Ingush	0.0539501
Basques	0.0537078
feddans	0.0529925
Nagorno-Karabakh	0.0529895
sq.km	0.0529835
"Carole Sund"	0.0529668
Protestant	0.0528862
Hawaiians	0.0526588
marcher	0.0526174
"Kendra Webdale"	0.0523847
Laotian	0.0522557
demonstrator	0.052239
"union member"	0.052233
"South African"	0.0522257
"census taker"	0.052191
"American Indian"	0.0516202
Panamanian	0.0514679
Japanese-Americans	0.0511481
"political dissident"	0.0511409
enumerators	0.0510513
returnees	0.0509092
expatriate	0.0506226
Dudayev	0.0505265
Phoenician	0.0505209
Banyamulenge	0.0505179
"university student"	0.0504962
Ecuadoreans	0.0504205
policyholder	0.0503877
herder	0.0503444
"Branch Davidians"	0.0501412
adherent	0.0500529
Yugoslavian	0.0499962
"Iraqi POWs"	0.0499916
Spaniard	0.0497187
holidaymaker	0.0497137
centenarian	0.0495751
laborer	0.0493854
Creationists	0.0493236
"Iranian POWs"	0.0492396
Macedonian	0.049135
"Martha Moxley"	0.04907
"mountain gorilla"	0.0489865
bpd	0.0488381
"New Jerseyans"	0.0487486
))
(Armey (desc 7435.57) (sims
Gephardt	0.184402
Daschle	0.177415
"Dick Armey"	0.175612
Lott	0.171771
Hastert	0.170648
Linder	0.158213
Largent	0.155856
Boehner	0.152655
Gramm	0.141165
Gingrich	0.139781
Livingston	0.136039
Moakley	0.132524
Gilman	0.131279
McCollum	0.1297
Hyde	0.128827
Bliley	0.127938
Nickles	0.125002
Rogan	0.123995
Napolitano	0.121128
McConnell	0.120101
D'Amato	0.1168
Helms	0.115827
Weldon	0.113134
Waxman	0.112713
Torricelli	0.112249
Archer	0.110807
"Tom DeLay"	0.110216
Engel	0.109408
Pataki	0.108755
Harshbarger	0.108641
Moynihan	0.108322
Kasich	0.107713
Nadler	0.10751
R-Miss.	0.107225
Barr	0.106618
Giuliani	0.106518
Verney	0.10639
Doggett	0.105681
Condit	0.105636
Leavitt	0.104779
Gorton	0.104633
Isakson	0.104416
McCurry	0.10439
"Majority Whip Tom DeLay"	0.102266
Tauzin	0.101628
Ashcroft	0.101168
Kyl	0.100544
Pelosi	0.099789
McInnis	0.0994953
Feinstein	0.0988439
Meehan	0.0988086
Berman	0.0987983
Ruehe	0.0983703
Delahunt	0.0983397
Rangel	0.0981118
Cuomo	0.097946
Lowey	0.0975244
Cellucci	0.097082
Vallone	0.0970419
"House Majority Whip Tom DeLay"	0.0968844
Markey	0.0967741
Northup	0.0965391
Advani	0.0962779
McHugh	0.0956342
Menino	0.095552
Riordan	0.0954251
R-Texas	0.0953218
Kesri	0.0952038
Shays	0.095119
McGovern	0.0949129
McNulty	0.0946844
Kolbe	0.0944946
Quayle	0.0942692
Klink	0.093808
Feingold	0.0937933
Leahy	0.0933706
Kennard	0.0927821
Carnahan	0.0924594
Danner	0.0923353
Garcetti	0.0921047
Engler	0.0916358
Hutchison	0.0907941
Hobson	0.0904495
Canady	0.0903013
Hoffa	0.0897876
Schumer	0.089636
Kornberg	0.0896075
DOLE	0.0895111
McKeon	0.0893523
Menendez	0.0892355
"John Boehner"	0.0891735
Dunn	0.088959
Roth	0.0881193
Santorum	0.0880943
Donohue	0.0880795
Daley	0.0876026
Prewitt	0.0874463
Ferraro	0.0874312
Sweeney	0.0870674
Capps	0.0868781
Trimble	0.0866578
Seleznyov	0.0864204
Metcalf	0.0860193
Bouchard	0.0856512
Siegelman	0.0855558
Safir	0.0854935
Chuan	0.0854537
LaPierre	0.0853656
Yeltsin	0.0853039
Leach	0.0849165
Meissner	0.0849062
Lautenberg	0.0846641
"Newt Gingrich"	0.0844495
Breaux	0.0843842
Kerasiotes	0.0841199
R-Ill.	0.0839711
Dingell	0.08397
Meeks	0.0839645
Mandelson	0.083865
Finkel	0.0838583
Caddell	0.0835902
Mauro	0.0834259
Zimmer	0.0833575
Menem	0.0831536
Sassa	0.0830624
Kyprianou	0.0829643
"Trent Lott"	0.0828676
Beazley	0.0827289
Shipley	0.0826048
Rais	0.0824477
Corzine	0.0824444
D'Alessandro	0.0824146
Nicholson	0.0824085
Taft	0.0823635
Ruff	0.082319
Kennelly	0.0822226
Larson	0.0817244
Djukanovic	0.0817041
Whitman	0.0816055
Babbitt	0.0815804
Shalala	0.0814285
Harkin	0.0812709
Kostunica	0.0812312
Lockhart	0.0812017
Bonilla	0.0811671
Azizah	0.0809034
Inhofe	0.0806799
"Dick Gephardt"	0.0806615
Izetbegovic	0.0806378
Kumaratunga	0.0806351
COYNE	0.0802624
"Bill Archer"	0.0801099
Levin	0.0800838
"Bob Livingston"	0.0798667
Houghton	0.079637
Bradley	0.0796099
Quackenbush	0.0795786
Coverdell	0.0794061
McCain	0.0793556
Kerrey	0.0793458
Brownback	0.079315
Farr	0.0792966
Dodik	0.0791044
Dewine	0.0791005
Valenti	0.0790283
Cardoso	0.078721
Megawati	0.0782649
"Amien Rais"	0.0782003
Chabot	0.0780723
McCaffrey	0.0780302
Forbes	0.07801
Cummings	0.0779887
Berisha	0.077846
Estrada	0.0778442
FALWELL	0.0778237
Aznar	0.0778176
Schroeder	0.0776578
Buchanan	0.0775041
Putin	0.0772943
hatch	0.0772647
D'Alema	0.0772372
Gullikson	0.0771531
Chambliss	0.0771493
Lukashenko	0.0771293
Bauer	0.077013
Kuchma	0.0770066
Museveni	0.0766552
"Sam Rainsy"	0.0766333
Hodler	0.0766189
Fujimori	0.0764758
"Lamar Smith"	0.0763933
Khamenei	0.0763459
Prodi	0.0763248
Berger	0.0763191
Blair	0.0762268
Mugabe	0.076177
Aziz	0.0760826
Wamba	0.076037
Klima	0.0758177
Nethercutt	0.0757856
))
(armful (desc 1420.99) (sims
sheaf	0.0923048
"two bags"	0.0922049
"two boxes"	0.0813901
"over @,@@@ tons"	0.0799912
fistful	0.0768296
stacks	0.0739682
bouquet	0.0723909
overabundance	0.0673155
"million tons"	0.0649934
cannister	0.0630374
"line drawing"	0.0620769
"about @,@@@ tons"	0.0615243
carload	0.0604599
photocopy	0.059431
panoply	0.0591008
downloading	0.0581718
"shopping bag"	0.0568977
"black flag"	0.056724
"more than @@@ tons"	0.0554712
blending	0.0550268
perusal	0.0544619
"off-speed pitch"	0.0542718
satchel	0.054239
"two tons"	0.0540607
"fishing rod"	0.0539214
"evening bag"	0.0533033
labeling	0.0524984
"New York Review"	0.0512679
"electrical device"	0.0507827
"more than @,@@@ tons"	0.0505645
truckload	0.0504099
"walking stick"	0.0503167
"more than @ million tons"	0.0502903
purveyor	0.0502456
"more than @@,@@@ tons"	0.0497593
"electric current"	0.0486338
AK-@@	0.0485295
"about @@@ tons"	0.0485183
synopses	0.0483883
consignment	0.0481208
"bowling ball"	0.0480464
"chain saw"	0.0477097
"trillion dollars"	0.0473015
"life preserver"	0.0472258
accoutrement	0.0461994
carnation	0.0459772
importing	0.0459434
roomful	0.0455382
"about @@@ pounds"	0.0451342
parasol	0.0442745
"more than @@ tons"	0.0439819
clipboard	0.0438152
"grocery bag"	0.043671
"face mask"	0.0436177
rosary	0.043604
"sulfuric acid"	0.0434645
co-editor	0.0433146
earpiece	0.0433058
airdrop	0.0432356
scad	0.0431108
"dust jacket"	0.043089
"beach towel"	0.0429677
"boxing glove"	0.042793
mailing	0.0426916
"engagement ring"	0.0421913
"new edition"	0.0421329
"over @@,@@@ tons"	0.04191
"hot potato"	0.0418449
"treasure trove"	0.0418098
"book bag"	0.0417171
"five tons"	0.041576
"raw meat"	0.0414053
"oxygen mask"	0.0411889
remained	0.04112
"candy bar"	0.0409653
screenful	0.0406268
"ransom money"	0.0405128
oar	0.0401216
))
(arming (desc 2143.82) (sims
disarming	0.126344
"Kosovar Albanian"	0.109861
disbanding	0.098388
"Shiite Muslim"	0.0885249
"Kosovo Albanian"	0.083618
pro-British	0.0792741
ragtag	0.0766693
"Ethnic Albanian"	0.0706693
hardline	0.0702112
Kashmiri	0.0691631
Sunni	0.068272
Hutu	0.0661729
Kosovar	0.0658274
Shiite	0.062163
Chechen	0.0620019
targeting	0.0615804
Islamist	0.0610498
Kurd	0.0589255
"up to @@,@@@"	0.0585605
slain	0.0575348
Zairian	0.0570705
"Afghan Taliban"	0.0568121
disbandment	0.0550823
Taleban	0.0548418
"Irish Catholic"	0.0534999
Interahamwe	0.0526646
Kurdish	0.0519383
"adult education"	0.0502206
ninja	0.0498272
demobilization	0.0497906
ultranationalist	0.0497277
Croat	0.0496071
Abkhazian	0.0474165
"Over two million"	0.0466278
"subversive activity"	0.0466217
"Another @,@@@"	0.0456017
"more than one-fifth"	0.045292
Banyamulenge	0.0452871
Uzbek	0.0451721
splitting	0.0447719
mushrooming	0.0444742
Ijaw	0.0444226
"two units"	0.0438895
Timorese	0.0435425
"lead poisoning"	0.0435413
Abortion-rights	0.0431923
Americanization	0.0426699
"South Vietnamese"	0.0425767
"Lebanese Hezbollah"	0.0423835
Tutsi	0.0422859
Druse	0.0411593
"dog bite"	0.0411205
socialization	0.0410974
"another five"	0.0410931
"almost two-thirds"	0.0409414
"about two percent"	0.0407688
maltreatment	0.0407579
Sinhala	0.0404423
"another @ million"	0.0404135
))
(armistice (desc 3343.35) (sims
truce	0.161418
"Lusaka Peace Accord"	0.152906
"Oslo Accords"	0.14876
"Oslo Accord"	0.142473
cease-fire	0.11414
"peace treaty"	0.109228
"Lusaka Protocol"	0.107508
"labor contract"	0.104497
ceasefire	0.101269
"Voting Rights Act"	0.0998703
"Sino-British Joint Declaration"	0.0959436
"Kyoto Protocol"	0.0904458
GATT	0.0902308
"Wye River"	0.0881326
"START II"	0.0880505
"Free Trade Agreement"	0.0873827
"ABM Treaty"	0.086047
"Geneva convention"	0.084025
"purchase agreement"	0.0837931
"Earth Day"	0.079641
"general agreement"	0.0792222
"trade agreement"	0.0785066
"Civil Rights Act"	0.0767686
oil-for-food	0.0762225
"Lome Convention"	0.0760926
"Lahore Declaration"	0.0758428
"START III"	0.0757005
Sino-U.S.	0.0752298
"labor agreement"	0.0748186
Wye	0.0714475
"North American Free Trade Agreement"	0.0713595
"Clean Air Act"	0.0703808
"Anti-Ballistic Missile Treaty"	0.0695405
"Helms-Burton Act"	0.0688939
"Sino-Portuguese Joint Declaration"	0.0686149
NPT	0.0661427
"Montreal Protocol"	0.0657702
IPR	0.0644943
"employment contract"	0.0644767
"military mission"	0.06429
"building code"	0.063505
"Telecommunications Act"	0.0633269
"Holy Year"	0.0630962
"Joint Liaison Group"	0.0623824
ABM	0.0622275
"World Environment Day"	0.0620415
"Bora Milutinovic"	0.0614677
Palestinian-Israeli	0.0611327
"May Day"	0.0610616
"Lunar New Year"	0.0608461
"collective security"	0.0606247
"Joint Declaration"	0.0605259
covenant	0.0597955
INTERFET	0.0596946
"licensing agreement"	0.0594766
"Chinese Lunar New Year"	0.059164
"Implementation Force"	0.0590796
FTA	0.0590192
CTBT	0.0585529
"memorandum of understanding"	0.0584678
"Clean Water Act"	0.0584496
"International Year"	0.0578678
"Comprehensive Test Ban Treaty"	0.057723
bicentennial	0.0574441
"Fourth Amendment"	0.0571786
"Universal Declaration"	0.0569666
Israeli-Syrian	0.0568592
partition	0.0568571
coronation	0.0568333
Kyoto	0.0566158
calmness	0.0565257
"Fortune Global Forum"	0.0564973
MSF	0.0564491
"merger agreement"	0.0562505
"Winning Colors"	0.0562385
"NL Rookie"	0.0561093
VFA	0.056106
Krall	0.0560717
"Uruguay Round"	0.0560498
"Nanjing Massacre"	0.0559899
"East African Community"	0.0557976
"Veterans Day"	0.0551211
annexation	0.0550399
"arms control"	0.0549745
NAFTA	0.0548271
"written agreement"	0.0546939
"customs union"	0.0546202
"Declaration of Independence"	0.0544841
"General Agreement on Tariffs and Trade"	0.0544664
protectorate	0.0539446
"Chinese New Year"	0.0538454
"Chemical Weapons Convention"	0.0537211
"Marshall Plan"	0.0535482
Sheikh	0.0533923
"Yom Kippur"	0.0533893
firefights	0.0532709
Israeli-Arab	0.0532043
Eid	0.0528618
fast-track	0.0528253
AEC	0.0527937
NCEC	0.0525987
"Comprehensive Nuclear Test Ban Treaty"	0.0525763
Baerga	0.0525603
"collective bargaining"	0.052378
"arms deal"	0.0521815
"rate of exchange"	0.0521101
uptrend	0.0517562
"Good Friday"	0.0517438
"counsel law"	0.051537
"CAC @@"	0.0513667
"Turkish Republic of Northern Cyprus"	0.0512572
"League of Nations"	0.0511623
"Independence Day"	0.050959
"Danny Kanell"	0.0506835
"family unit"	0.0506726
Easter	0.0506137
"Maastricht Treaty"	0.0505441
"Vienna Convention"	0.0504899
el-Sheikh	0.0504282
"maritime law"	0.0502849
IFOR	0.050113
MOU	0.0500603
"Hurricane Hugo"	0.0500516
"Turkish Republic"	0.0499369
Kilborn	0.0499229
easement	0.0499076
"Ford Escort"	0.0495987
"artillery unit"	0.0494962
"Nuclear Non-Proliferation Treaty"	0.0494913
suture	0.0493895
"United Nations Convention"	0.0491727
handshake	0.0490213
Oslo	0.0489651
equilibrium	0.0489108
U.S.-Russian	0.0488785
"iron curtain"	0.0485327
Lieberthal	0.0482495
final-status	0.0481044
chancellery	0.048039
mutiny	0.0479122
memoranda	0.0478108
"Jin Ho Cho"	0.0477851
FTAA	0.0476637
tenancy	0.0476073
"emotional state"	0.0476043
Dayton	0.0475978
SDH	0.0474168
IGAD	0.0473754
Sino-Japanese	0.0473326
"football season"	0.0471005
eight-point	0.0469406
Syrian-Israeli	0.0468692
"Operation Desert Storm"	0.046815
"Fabrizio Ravanelli"	0.0468097
jubilee	0.0466155
mistrial	0.0465798
U.S.-Japan	0.0465238
"Bastille Day"	0.0465059
rationing	0.0463802
"social contract"	0.0462986
infantryman	0.046211
"John Vanbiesbrouck"	0.0461057
RAMBOUILLET	0.0461041
"International Covenant"	0.0460805
"Kyle Brady"	0.0460703
rededication	0.0459816
Kwanzaa	0.0459164
"Damascus Declaration"	0.0459149
Ordinance	0.0458642
"Islamic Revolution"	0.0458569
six-point	0.0458165
"Chittagong Hill Tracts"	0.0457489
Acquittal	0.0457026
"legal code"	0.0456882
promulgation	0.0455438
multiyear	0.045487
ouster	0.0454316
midcourt	0.0454101
"Balanced Budget Act"	0.0453826
"golden parachute"	0.0453704
epiphany	0.0453572
"Chevrolet Monte Carlo"	0.045227
"legal instrument"	0.0451493
papacy	0.0451281
unification	0.0450367
"criminal law"	0.0449694
detente	0.0448238
Troussier	0.0448095
disengagement	0.0447984
"June Jones"	0.044777
"Great War"	0.0447219
CHT	0.044662
Arusha	0.0446569
"Erie Canal"	0.0445424
"Mac OS"	0.0445193
Papandreou	0.044504
"Six Day War"	0.0444668
"Otis Nixon"	0.044444
"Jesse Orosco"	0.0443536
curfew	0.0443023
))
(armoire (desc 2767.15) (sims
"writing desk"	0.170953
settee	0.167015
"coffee table"	0.143299
mantel	0.13985
paneling	0.138979
sideboard	0.138694
bookcase	0.134914
armchair	0.133262
dresser	0.132236
"love seat"	0.131278
headboard	0.130695
"dining table"	0.123997
"file cabinet"	0.123424
mantelpiece	0.1183
"card table"	0.117186
commode	0.114753
sofa	0.110445
"side chair"	0.108814
cupboard	0.108805
"filing cabinet"	0.105996
furniture	0.102533
"easy chair"	0.100816
"picture frame"	0.096852
lamp	0.0939282
"rocking chair"	0.0938654
vas	0.0925245
furnishings	0.0885954
rug	0.0877083
chandelier	0.0859913
paperweight	0.0821492
"wall hanging"	0.0814627
fireplace	0.0805761
bookshelf	0.0788694
"walking stick"	0.0778074
flooring	0.0771121
"tea set"	0.0769941
Ottoman	0.0764331
"window frame"	0.0760628
stool	0.0755422
trestle	0.0739776
woodwork	0.0733053
"bathroom fixture"	0.0729017
awning	0.0718301
"space heater"	0.0699694
"pool table"	0.0698743
phonograph	0.0697441
mattress	0.0694305
carpet	0.0687893
"lighting fixture"	0.0678873
"duffel bag"	0.0671412
molding	0.064677
carpeting	0.0632425
teapot	0.062679
tile	0.0626137
"pinball machine"	0.0625339
stove	0.0624127
"pocket watch"	0.0620872
kitchenware	0.0620398
crucifix	0.0619508
refrigerator	0.0610006
kitchenette	0.0605683
tub	0.0589777
"engagement ring"	0.0589273
bathtub	0.0586415
"sewing machine"	0.0585864
decanter	0.0584209
"gas stove"	0.0582328
wainscoting	0.0577114
rickshaw	0.0572964
"manor house"	0.0572121
"office furniture"	0.0568933
wicker	0.0565928
galley	0.0559744
"dinner plate"	0.0556046
vase	0.0553341
alcove	0.0552972
porcelain	0.0550461
lamppost	0.0548069
glassware	0.0547722
tabletop	0.0542761
birdhouse	0.0539921
"stereo system"	0.0539838
"kitchen table"	0.0539184
utensil	0.0538295
"speaker system"	0.053802
spool	0.053564
ceramic	0.0534652
lectern	0.0533186
"fire hydrant"	0.0532419
linen	0.0529535
"display case"	0.0528423
crate	0.0528335
Steinway	0.05278
racquet	0.0523958
drawer	0.0518211
"kitchen appliance"	0.0515304
tray	0.0515145
chimney	0.0512455
cane	0.0511787
sparkler	0.0510512
binoculars	0.0506844
"picture window"	0.050547
"phone booth"	0.0504509
tableware	0.0504414
crib	0.050045
wardrobe	0.0500086
scaffold	0.0499687
"wine cellar"	0.0499453
Jacuzzi	0.0499095
"prayer book"	0.0495986
ornament	0.0495838
cot	0.049493
wallpaper	0.0491252
"conference table"	0.0489353
tumbler	0.0488701
"Casey Martin"	0.0486889
"white line"	0.0486355
"air duct"	0.0486242
"Easter egg"	0.048354
louver	0.048341
atrium	0.0482263
easel	0.0482152
headrest	0.0481214
satchel	0.0480945
contraption	0.0477092
beaker	0.047641
drapery	0.0475411
"entertainment center"	0.0474417
banquette	0.0474209
lampshade	0.0473668
effigy	0.0469398
skylight	0.0468343
scooter	0.0468334
urn	0.0467562
quilt	0.0467194
siding	0.0466951
recliner	0.0466621
Ellipse	0.0466252
cooler	0.0466024
drawers	0.0464428
tablecloth	0.0463328
linoleum	0.0462793
gazebo	0.0461226
"oil painting"	0.0460876
emulator	0.0460091
"pipe organ"	0.0459924
"three pitchers"	0.0459688
"street lamp"	0.045892
cubby	0.0455429
"audio CD"	0.0454474
sleigh	0.0451796
decor	0.0450992
countertops	0.045075
"electric car"	0.0450342
"storage area"	0.0449113
"clock radio"	0.0446395
"rolling stock"	0.0446173
"television set"	0.0445207
"rainbow trout"	0.0444642
upholstery	0.0443676
pallet	0.0443288
pedestal	0.0441328
"tennis racket"	0.044107
floorboard	0.044042
corkscrew	0.0438395
gourd	0.043804
"trash can"	0.043717
statuette	0.0436993
hearth	0.0435618
MS-DOS	0.0435417
"coffee bar"	0.0434977
blackbird	0.04349
sconce	0.0434579
cornice	0.0434493
daguerreotype	0.0433749
tapestry	0.0431919
"stained-glass window"	0.0431439
RV	0.0431267
"data file"	0.0430271
cutlery	0.0429457
"Indy Racing League"	0.0428739
cardboard	0.0428503
Triptych	0.0427288
"sheet of paper"	0.0426637
"stock certificate"	0.0424993
trellis	0.0422076
"electric fan"	0.0421923
mahogany	0.0421798
amulet	0.0421767
stereo	0.0420434
candelabra	0.0420133
entryway	0.0419814
inset	0.0419159
amplification	0.0419023
musket	0.0418866
"Simon Bolivar"	0.0418208
veneer	0.0417507
Partway	0.0415577
armrest	0.0415046
cufflink	0.0414072
))
(armor (desc 15925.9) (sims
artillery	0.134795
"personnel carrier"	0.132482
"military vehicle"	0.119688
gunship	0.111931
infantry	0.109861
tank	0.103365
"heavy weapon"	0.0977734
"rocket launcher"	0.0937779
"air defense"	0.092835
"artillery unit"	0.0912009
weaponry	0.0888369
"surface-to-air missile"	0.0870226
"army tank"	0.0840601
launcher	0.0809456
"bulletproof vest"	0.0801922
mask	0.0800771
helmet	0.0786657
mortar	0.0779986
warplanes	0.0763832
materiel	0.0728461
"body armor"	0.0715826
spacesuit	0.0713304
"machine gun"	0.071197
"mortar fire"	0.0709595
ammunition	0.0697874
gear	0.0695901
"fighter aircraft"	0.0695876
"military uniform"	0.0694492
"air power"	0.0687263
goggles	0.06793
costume	0.0669818
raincoat	0.0664989
shield	0.066061
garb	0.0660376
munition	0.0655994
Pottery	0.0654243
vest	0.0646392
jewelry	0.0632555
warship	0.0632364
overcoat	0.0631316
tunic	0.0615965
uniform	0.0613757
cannon	0.0612824
headgear	0.0609908
sword	0.0608091
howitzer	0.0606461
Clothing	0.0604456
wig	0.0600196
missile	0.0599395
helicopter	0.0595499
weapon	0.0594837
robe	0.0592973
jacket	0.0592072
jeep	0.0590396
Shell	0.0588647
armament	0.058403
frigate	0.0583008
fighter-bombers	0.05808
paratrooper	0.0580396
"business suit"	0.058033
veil	0.0579926
headdress	0.0579577
"artillery fire"	0.0577283
"bowler hat"	0.0576846
camouflage	0.0575954
firepower	0.057588
sculpture	0.0575622
metalwork	0.0565103
reinforcement	0.0564445
cloth	0.0563335
aircraft	0.0560498
furniture	0.0560033
turban	0.0558834
"command post"	0.0558601
"evening gown"	0.0555779
"hand grenade"	0.0554644
boot	0.0552577
cloak	0.0549584
"oxygen mask"	0.0549343
radar	0.0548994
coat	0.0542535
cavalry	0.0537564
porcelain	0.0534941
"face mask"	0.0534789
"leather jacket"	0.0532988
"military position"	0.0531178
fur	0.0531009
handicraft	0.0529125
bomber	0.0528656
ornament	0.0524386
sunglasses	0.0522032
"trench coat"	0.0521778
"patrol boat"	0.0521094
"weapons system"	0.0520991
gown	0.0520301
plastic	0.0518558
leather	0.0513419
ceramic	0.0513165
artifact	0.0512791
jumpsuit	0.0512475
"hard hat"	0.0510213
bra	0.0509346
battalion	0.0505108
Sari	0.0503484
vessel	0.0501718
dagger	0.0501456
"life jacket"	0.0499004
"dark glasses"	0.0498318
carving	0.0497702
shoe	0.0497217
machine-guns	0.0496738
"musical instrument"	0.049488
jade	0.0494837
sweater	0.0494723
truncheon	0.0494495
apron	0.0493058
"explosive device"	0.0492863
sniper	0.0490257
rifle	0.0487515
metal	0.0486891
avionics	0.0486431
coverall	0.048087
Humvees	0.0480377
"military force"	0.0480249
spear	0.0480018
statuette	0.0479134
"fire engine"	0.0477792
tux	0.0476668
sandal	0.0476486
hardware	0.0475948
bulldozer	0.0472697
tuxedo	0.0472605
eyeliner	0.0472086
hat	0.0471699
figurine	0.047095
pajama	0.0470538
finery	0.046988
convoy	0.0468887
visor	0.0466691
"surface ship"	0.0465311
tights	0.0465179
"ski mask"	0.0459657
"military police"	0.0459175
sweatshirt	0.0459054
Coin	0.0458936
lingerie	0.0458716
enamel	0.0457384
Regiment	0.045567
commando	0.0453889
kimono	0.0453565
garment	0.0453384
regalia	0.0452806
accessory	0.045063
Cape	0.0449343
"defense system"	0.0449296
silverware	0.0449162
Brigade	0.0448251
glassware	0.0446827
contraband	0.044351
fabric	0.0442235
"military unit"	0.0441786
submarine	0.0441488
Humvee	0.0440839
knife	0.0440821
embroidery	0.0439306
"fur coat"	0.0439112
destroyer	0.0439076
makeup	0.0439048
vas	0.0437923
"straw hat"	0.0437702
scarf	0.043733
firewalls	0.043727
parka	0.0436586
"shoulder pad"	0.0435161
skin	0.0434824
calligraphy	0.0433984
"communications equipment"	0.0431554
pistol	0.0431537
shirt	0.0431237
"military installation"	0.0429882
Grenade	0.0428171
ware	0.0427963
"nuclear warhead"	0.0427713
mercenary	0.0427074
utensil	0.0427039
smock	0.0426265
slipper	0.0425798
glove	0.0425134
ordnance	0.042479
silk	0.0424774
brick	0.0424492
chariot	0.0422769
explosive	0.0421943
ammo	0.0420041
underwear	0.0418856
"booster rocket"	0.0418629
bathrobe	0.041843
lacquer	0.0417325
"Air Force"	0.041496
treasure	0.0413844
))
(armory (desc 6529.43) (sims
depot	0.104975
barrack	0.0861322
Warehouse	0.072228
"Waldorf-Astoria Hotel"	0.0717626
"firing range"	0.0708457
"command post"	0.0688984
"police station"	0.068542
hangar	0.0677115
"police precinct"	0.0667062
"shooting range"	0.0649664
Arsenal	0.0621537
palace	0.0617244
firehouse	0.0615484
"shopping center"	0.0593188
Parthenon	0.0589696
dormitory	0.0586423
"house of worship"	0.0583831
"police headquarters"	0.0577075
silo	0.0570564
"fire station"	0.0563252
"food stock"	0.0561423
"community center"	0.0553761
fairground	0.0551583
hideout	0.0543033
morgue	0.0541954
orphanage	0.0540194
storehouse	0.0540046
"tea house"	0.0539781
"place of worship"	0.0537267
cemetery	0.053526
"art gallery"	0.0525372
mosque	0.0519264
dispensary	0.0516592
"exhibition hall"	0.0516152
"military headquarters"	0.0515866
cache	0.0513664
"military position"	0.0513491
"science museum"	0.051197
Icebox	0.050738
gunboat	0.050645
"movie house"	0.050509
tavern	0.0501382
mortuary	0.0500977
amphitheater	0.0500534
coffer	0.0499329
"Jewish Museum"	0.049902
airfield	0.04976
brothel	0.0497319
"civic center"	0.0496878
"bus station"	0.0492958
"Olympic Village"	0.0492514
medic	0.0487456
"military installation"	0.048688
"circulatory system"	0.0485364
headquarters	0.0485205
"railroad station"	0.0485147
"field hospital"	0.0483262
"office building"	0.0481729
aquarium	0.0479714
stockpile	0.0478557
bunker	0.047692
"supper club"	0.0476126
"observation post"	0.047586
courthouse	0.0474959
"abortion clinic"	0.04749
"railway station"	0.0473283
holster	0.0471398
"conference center"	0.0471026
synagogue	0.0470549
auditorium	0.0467877
"post office"	0.0463945
"Shrine Auditorium"	0.0463134
"filling station"	0.045654
"World Trade Center"	0.0454856
nightclub	0.0453972
detachment	0.0449727
reservist	0.0449475
showroom	0.0449219
"funeral home"	0.0444714
ballroom	0.0443903
Brigade	0.0438802
"Labor office"	0.0438069
checkpoint	0.0437993
cafeteria	0.0437848
"Infantry Battalion"	0.043489
"water system"	0.0434635
saloon	0.0433945
"military unit"	0.0432099
Macworld	0.0431763
COMDEX	0.0431669
plaza	0.043102
infirmary	0.0430235
"clothing store"	0.0428777
Monastery	0.0425406
"military academy"	0.0425227
fortification	0.042442
"staging area"	0.0423675
"residence hall"	0.0423213
sarcophagus	0.0422434
"holding cell"	0.0422144
"weather station"	0.042171
"Strategic Petroleum Reserve"	0.042165
Fort	0.0421343
"supply line"	0.0421233
manoeuvre	0.0417393
dacha	0.0414974
"Elysee Palace"	0.0413822
dealership	0.0413018
"shopping mall"	0.041294
"gas station"	0.0412812
half-dozen	0.0412476
Greenbrier	0.0412449
"educational institution"	0.0412348
"computer store"	0.0410691
"University of New Hampshire"	0.0410308
pizzeria	0.0410161
"city block"	0.0409055
"liquor store"	0.0407575
"bowling alley"	0.0407203
"hardware store"	0.0407138
garrison	0.0403788
"movie theater"	0.0403109
substation	0.0402163
"oil refinery"	0.0401268
"trust fund"	0.0400325
))
(armpit (desc 4666.57) (sims
abdomen	0.123089
buttock	0.0932512
thigh	0.0862116
triceps	0.0846434
"shoulder blade"	0.0805009
chest	0.0791352
neck	0.0761553
lung	0.0757039
groin	0.0734617
wrist	0.0712681
flexor	0.0700205
scalp	0.0696502
kneecap	0.0692948
waist	0.0659085
biceps	0.0633664
"rib cage"	0.0614104
torso	0.0609576
pinkie	0.0566005
Chin	0.05656
jaw	0.0553715
Pinky	0.0547082
nostril	0.0546693
fibula	0.0543541
"eye socket"	0.0529204
forearm	0.0517421
lobe	0.0515436
throat	0.0498365
femur	0.049698
eyelid	0.0491847
forehead	0.0487704
goalpost	0.0484755
"white line"	0.0479321
"achilles tendon"	0.0478623
cheek	0.0476571
collarbone	0.047605
cheekbone	0.0475351
"ring finger"	0.0474271
quadriceps	0.0471394
spine	0.0470722
brow	0.0469712
pelvis	0.0465951
esophagus	0.0465491
kidney	0.0464106
calf	0.0460826
womb	0.0448747
forefinger	0.0445086
sternum	0.0444079
Achilles	0.0431179
testicle	0.0428072
jetty	0.0428072
belly	0.0425724
pancreas	0.0424578
tibia	0.0424051
shin	0.0420718
barbell	0.0412607
retina	0.0404287
"index finger"	0.0403837
ACL	0.0403085
"little finger"	0.0401753
))
(armrest (desc 2853.03) (sims
defroster	0.141513
headrest	0.1219
"bucket seat"	0.0978902
"steering wheel"	0.0917095
wiper	0.0880299
"cargo area"	0.085848
"sliding door"	0.0793999
grille	0.0790582
"landing gear"	0.078706
legroom	0.0742186
sunroof	0.0729915
airbags	0.0719603
axle	0.0717147
molding	0.0706935
"windshield wiper"	0.0667758
"power steering"	0.0651387
"seat belt"	0.0650613
cubby	0.0635116
"air bag"	0.0634593
hardtop	0.0633445
mantelpiece	0.0618015
fender	0.0604781
"seat cushion"	0.0603528
air-conditioning	0.0602676
Canopy	0.0595054
handlebar	0.0594329
tray	0.0583579
"Chris Anstey"	0.0557145
"side door"	0.0547529
skylight	0.0543137
Stairway	0.0537965
bookcase	0.0535675
tailgate	0.0533111
"shock absorber"	0.0526293
fascia	0.0513909
armchair	0.0511726
"walking stick"	0.0499465
staterooms	0.0498231
Igloo	0.049116
"cruise control"	0.0491149
bulkhead	0.0484605
joystick	0.0484022
divider	0.0480379
"stone wall"	0.047992
bookshelf	0.0479569
"Dave Wohlabaugh"	0.0477457
pew	0.0476469
floorboard	0.0474138
seam	0.0471319
"escape hatch"	0.0469741
jamb	0.0469688
paneling	0.0463478
windshield	0.0457189
"shower curtain"	0.0450421
"Damien Woody"	0.0450246
footbridge	0.043721
"coat of paint"	0.0432565
"CD player"	0.0432494
headroom	0.0428845
"Brian Skinner"	0.0422942
paw	0.0422182
"Curtis Brown"	0.0420244
"automatic transmission"	0.0419959
"rate of exchange"	0.0419101
firewall	0.0415743
armoire	0.0415046
"Doug Weight"	0.0415041
"eye socket"	0.0410342
drawer	0.0409307
"Ron Francis"	0.0409242
"suspension system"	0.0408269
seatbelt	0.0408215
"Qin Yiyuan"	0.0408191
awning	0.0406971
"easy chair"	0.0404874
"endowment fund"	0.0404194
handset	0.0401983
))
(arms (desc 25546.5) (sims
arm	0.122397
weapon	0.092946
weaponry	0.0746471
ammunition	0.0597647
firearm	0.0552711
armament	0.0546699
munition	0.0540405
materiel	0.0525321
narcotic	0.0513586
"nuclear weapon"	0.0490429
contraband	0.0486922
disarmament	0.0483904
gun	0.0472175
"heavy weapon"	0.0456548
smuggling	0.0444454
handgun	0.043228
explosive	0.0422654
missile	0.0418977
heroin	0.0401365
))
("arms control" (desc 16183.2) (sims
nonproliferation	0.230479
disarmament	0.197472
Non-Proliferation	0.185582
"human right"	0.132362
"free trade"	0.124613
"human rights"	0.118975
governance	0.116733
"foreign policy"	0.115887
security	0.114151
"family planning"	0.109944
peace	0.106999
Liberalization	0.106033
relation	0.10568
"trade issue"	0.104148
diplomacy	0.10237
cooperation	0.101509
"defense policy"	0.10068
stabilization	0.0996492
prevention	0.0989484
reform	0.0989475
"conflict resolution"	0.0983865
"gun control"	0.0980372
enlargement	0.0976996
deterrence	0.0965872
"START III"	0.096311
Israeli-Syrian	0.0956126
alleviation	0.0954376
confidence-building	0.0951316
integration	0.0949575
development	0.094799
counterterrorism	0.0940106
democratization	0.0936899
conservation	0.0930366
"trade policy"	0.0928963
eradication	0.0924537
demilitarization	0.0922756
"economic policy"	0.0918068
ABM	0.0911538
"START II"	0.0905923
"collective security"	0.0905681
Treaty	0.0900752
aviation	0.0890059
"health care"	0.0889083
protection	0.0888618
reconciliation	0.0885752
"rule of law"	0.0878133
Syrian-Israeli	0.0877853
"population control"	0.0875104
stability	0.0868631
taxation	0.0867961
Proliferation	0.0867201
economics	0.0863021
"property right"	0.0856837
reunification	0.0852633
finance	0.0851781
education	0.0844418
modernization	0.0821597
affair	0.0818045
health	0.0807482
demobilization	0.0801331
terrorism	0.0800717
"trade relation"	0.0800146
agriculture	0.0789067
normalization	0.078869
IPR	0.078849
biotechnology	0.0779241
"mental health"	0.0778566
Japan-U.S.	0.0777197
peace-keeping	0.0776872
enforcement	0.0775711
"quality control"	0.0764359
accession	0.0764265
reconstruction	0.0764061
CTBT	0.0759635
immigration	0.075813
"social security"	0.0757112
demarcation	0.0756522
democracy	0.0754439
"law enforcement"	0.0753918
repatriation	0.0750173
"land reform"	0.0749695
"particle physics"	0.0749094
Sino	0.0739599
counterintelligence	0.0735661
"public security"	0.0734828
management	0.073359
"civil rights"	0.073128
planning	0.0729889
deregulation	0.0721741
science	0.0721628
reduction	0.0717478
preservation	0.0716818
sub-regional	0.0716059
safety	0.0711196
Implementation	0.0710283
environment	0.0707456
globalization	0.0704719
Privatization	0.0702192
accord	0.0696253
nutrition	0.0694491
commerce	0.0692452
Israeli-Palestinian	0.0690024
Promotion	0.0690017
final-status	0.0689481
"Middle East"	0.068694
expansion	0.0685928
coordination	0.0685807
partnership	0.06824
"civil liberty"	0.0682305
"water right"	0.0680622
Privacy	0.0680357
"international law"	0.0679518
dialog	0.0674801
"trading system"	0.0674059
tourism	0.0673367
restoration	0.067318
"Comprehensive Test Ban Treaty"	0.067194
"trade agreement"	0.0671148
unification	0.0670976
restructuring	0.0663968
ethic	0.0658764
"flood control"	0.0657718
telecommunication	0.0655249
"arms race"	0.0654761
detente	0.0651313
strategy	0.0650442
Sino-U.S.	0.064895
banking	0.0647134
employment	0.0647044
legislation	0.0646065
redeployment	0.0645446
industrialization	0.0645275
genetics	0.0641178
"nuclear weapon"	0.0640186
ceasefire	0.0639748
migration	0.0639167
dialogue	0.0636134
cease-fire	0.0632418
strengthening	0.0631101
CHT	0.0629617
pact	0.0629025
WTO	0.0626201
"city planning"	0.0622741
settlement	0.0619023
delimitation	0.0618905
U.S.-China	0.0615191
Mideast	0.0614966
sharing	0.0614938
archaeology	0.0612699
inspection	0.0612481
peace-building	0.0612389
verification	0.0609794
fishery	0.0609477
"nuclear energy"	0.0608561
Palestinian-Israeli	0.0605683
"urban planning"	0.0605332
"information technology"	0.0604272
networking	0.0597455
U.S.-Russian	0.0597266
"market reform"	0.0595834
transportation	0.0595119
creation	0.0595044
"legal system"	0.0593741
consolidation	0.0593516
equality	0.0593136
social	0.0590372
readjustment	0.0590074
containment	0.0589788
Kashmir	0.05896
financing	0.0588493
friendship	0.0588215
"product development"	0.0586449
"criminal law"	0.058554
resolution	0.0583517
"higher education"	0.0581577
accountability	0.0581433
rehabilitation	0.0579485
"tax policy"	0.0579274
"world economy"	0.0577954
transparency	0.0577921
Balkans	0.0576546
"political relation"	0.0574237
medicare	0.057375
revitalization	0.0573701
unity	0.0573434
avoidance	0.0573051
"Korean Peninsula"	0.057212
forestry	0.0571904
"social welfare"	0.0571811
biodiversity	0.0571398
"First Amendment"	0.0570109
empowerment	0.056925
nonviolence	0.0568893
utilization	0.0568627
initiative	0.0567269
"civil defense"	0.0566072
"social science"	0.0562016
good-neighborly	0.0561359
decentralization	0.0559708
formation	0.0559588
))
("arms deal" (desc 3701.52) (sims
"merger agreement"	0.102737
"trade agreement"	0.0983721
FTA	0.0964326
"Free Trade Agreement"	0.0940151
"bond offering"	0.087381
"aircraft order"	0.0861358
"political relation"	0.0834265
pact	0.082131
"entitlement program"	0.0811898
"expansion plan"	0.0810329
"business relation"	0.0798753
"licensing agreement"	0.0794134
"purchase agreement"	0.0772269
"tax change"	0.0768506
"peace treaty"	0.0767519
"election fraud"	0.0766952
"bond issue"	0.0761178
"intelligence operation"	0.0757672
stayaway	0.0755604
"capital investments"	0.0731356
"trade balance"	0.0726739
"slush fund"	0.0711568
"National Missile Defense"	0.070191
"insider trading"	0.0700302
"social contract"	0.0696912
linkup	0.0694377
price-fixing	0.069077
"drug business"	0.0688827
"trade relation"	0.068773
tie-up	0.0671571
coverup	0.0667662
"balance of trade"	0.0667325
"labor agreement"	0.0659927
"compromise plan"	0.065412
rapprochement	0.0645263
peace-making	0.0641196
"asset sale"	0.0640483
"line of credit"	0.0629118
"Oslo Accord"	0.0628122
"endowment fund"	0.0626827
"advertising campaign"	0.0618628
influence-peddling	0.0618569
"bank withdrawal"	0.0618348
"out-of-court settlement"	0.0613606
tranche	0.06129
"fund-raising campaign"	0.0608572
"defense program"	0.0604168
memoranda	0.060339
"stock buyback"	0.0603103
dialog	0.0601575
"Grand Slam Cup"	0.0600468
buyback	0.0599422
"tax increase"	0.0597387
"hostile takeover"	0.05932
"Super League"	0.0593177
"insurance claim"	0.0592883
"arms industry"	0.0592191
annexation	0.0588556
tranches	0.0586099
"business line"	0.0583074
"High Commission"	0.0582373
"initial offering"	0.0580927
"takeover bid"	0.0577318
"name change"	0.0576351
"tax income"	0.057401
"ad blitz"	0.0571956
"takeover attempt"	0.0570753
"marketing campaign"	0.0569226
"policy change"	0.056652
"business activity"	0.0558456
"debt issue"	0.0558384
"employment contract"	0.0557899
"management change"	0.0556734
"Oslo Accords"	0.055666
Demutualization	0.0556272
"hanky panky"	0.0556076
"business enterprise"	0.0555019
"tax hike"	0.0554439
"accounting problem"	0.055427
"line of questioning"	0.0548999
"trade route"	0.0547257
"ad campaign"	0.054621
"trade deficit"	0.0544847
"sexual activity"	0.0543969
"general agreement"	0.0542963
"gas plant"	0.0541766
"missile defense system"	0.0531912
"corruption scandal"	0.0530455
"deficit spending"	0.0529059
truce	0.0528645
bailout	0.0527802
"budget cut"	0.0527343
"oil pipeline"	0.052478
dollarization	0.0524077
firefights	0.0523183
"Helms-Burton Act"	0.0522443
divestitures	0.052206
armistice	0.0521815
"war game"	0.0520504
cover-up	0.0520045
"letter of intent"	0.0517972
disbursement	0.0515329
Eurobonds	0.0514872
"trade issue"	0.0512898
MOU	0.0512284
buyout	0.0511077
"military action"	0.0510093
"compensation package"	0.0509954
facelift	0.0509295
"defense system"	0.0508438
incursion	0.0507677
"memorandum of understanding"	0.0507035
assignation	0.0505674
rigging	0.0505275
"covert operation"	0.0504858
multi	0.0504689
"trade policy"	0.0503305
"work stoppage"	0.050204
"proxy fight"	0.0501394
abattoir	0.0501377
"life insurer"	0.0498237
privatizations	0.049676
"Anti-Ballistic Missile Treaty"	0.0496606
usurpation	0.0493318
"international flight"	0.0491208
"trade surplus"	0.0490671
cardholders	0.0490514
"collective bargaining"	0.048946
"bankruptcy filing"	0.0488904
"customs union"	0.048872
"military drill"	0.0486573
"bank failure"	0.0486528
"land reform"	0.0484008
"travel plan"	0.0483586
complicity	0.0481666
"enforcement action"	0.0481238
write-off	0.048116
"New Deal"	0.0480872
"job cut"	0.0479481
"final judgment"	0.0477012
vote-buying	0.0475499
Stealers	0.0475411
"dividend payment"	0.0473808
tampering	0.0473382
"Medicare HMO"	0.0472896
"commercial activity"	0.0472106
"takeover offer"	0.0471994
collusion	0.0471818
"rate of exchange"	0.0471688
"credit bureau"	0.0471256
kickback	0.046995
impropriety	0.0469261
"sailing vessel"	0.0468507
"opera company"	0.0468485
scam	0.0468239
"purchase contract"	0.0468105
Gunmakers	0.0467821
"bank holding company"	0.046709
overpayment	0.046501
"difference of opinion"	0.0464366
good-neighborliness	0.0464127
"tax reduction"	0.0463781
parley	0.0463465
"Kyoto Protocol"	0.0463039
"interest rate increase"	0.046279
"nest egg"	0.0462655
flotation	0.0462623
counter-offensive	0.0462247
"Lusaka Peace Accord"	0.0461972
"golden parachute"	0.0461009
"radio telescope"	0.0460778
fixing	0.0459836
"drug traffic"	0.0459731
"sex act"	0.0459455
"Joint Declaration"	0.0458929
outflow	0.0458263
"security interest"	0.0457979
"business interest"	0.0456971
"gambling casino"	0.0456377
ADP	0.0454822
"written agreement"	0.045338
"American plan"	0.0451968
"marketing effort"	0.0451726
shake-up	0.0451702
pullback	0.0451654
"labor contract"	0.0450996
detente	0.0450659
"ownership stake"	0.0450109
Eurobond	0.0449531
rescheduling	0.0449522
embezzlement	0.04495
reappointment	0.0449119
"spending cut"	0.0448989
"air attack"	0.0448586
"fund-raising drive"	0.0448212
hosting	0.044755
"reorganization plan"	0.0447215
non-cooperation	0.0446809
renegotiation	0.0446715
adulteration	0.0446078
))
("arms industry" (desc 1546.06) (sims
"shipbuilding industry"	0.0986466
Denel	0.0807246
"insurance market"	0.0758826
"automobile industry"	0.0752214
"tax income"	0.0747344
"military capability"	0.0742049
"Department of Trade and Industry"	0.0720758
"ruling class"	0.0706432
"sugar refinery"	0.070558
"space program"	0.0704564
"apparel industry"	0.0699251
"securities market"	0.0677256
"film industry"	0.0672591
"Penny Heyns"	0.0662087
"ballet company"	0.0661028
"Independent Electoral Commission"	0.0644438
"bond offering"	0.0637753
"construction industry"	0.0635318
"savings bank"	0.0627295
"coal industry"	0.0626381
"banking industry"	0.0618535
"oil industry"	0.0612612
"money supply"	0.0608898
Intelsat	0.0597135
"electronics industry"	0.0595116
"arms deal"	0.0592191
"Olympic Committee"	0.0588675
"drainage area"	0.0588386
"neutron bomb"	0.0587949
"movie industry"	0.0583329
"KwaZulu-Natal Province"	0.0580104
"De Beers"	0.0576094
Aerospatiale	0.0570224
aerospace	0.0561721
"registration number"	0.0558968
"mineral resource"	0.0556789
"Northern Fleet"	0.0553388
carmakers	0.0550585
"auto manufacturer"	0.0548214
holidaymaker	0.0546048
"housing industry"	0.0543384
"Human Rights Commission"	0.0543149
"power company"	0.0541713
"Special Economic Zones"	0.0541536
"insurance firm"	0.0540935
"army engineer"	0.054071
"Business Day"	0.0539472
"defense system"	0.0538819
"futures exchange"	0.0536391
"reserve bank"	0.0534771
"currency market"	0.0533904
"spy satellite"	0.0532676
"life insurer"	0.0528889
"mining company"	0.0526661
"chemical industry"	0.0522575
stadia	0.0522302
"three pitchers"	0.0517948
steelmaker	0.051512
breadbasket	0.0509455
puppeteer	0.0509375
"Lincoln Center Theater"	0.0508182
"defense contractor"	0.0505964
"High Commission"	0.0502474
"railway system"	0.0500507
expansionism	0.0498753
"body politic"	0.0494693
"communication network"	0.0489013
armymen	0.0488289
chaebol	0.0486754
"Orthodox Church"	0.0485815
"water company"	0.0485088
SEZs	0.0485004
"patent office"	0.0483013
"industrial enterprise"	0.0482946
"debt market"	0.0481376
"equity market"	0.0481355
"trade policy"	0.0480995
subsidence	0.0480846
macro	0.0477462
"Texas Senate"	0.0477451
"security interest"	0.0471389
"business interest"	0.0466602
DOJ	0.0465642
"mass media"	0.0465415
"crime wave"	0.0464222
"business relation"	0.0461914
"tax system"	0.046184
"auto maker"	0.0460454
"Justice Ministry"	0.0460118
"steel production"	0.0459757
"racing circuit"	0.0458301
"early warning system"	0.0458222
minister-elect	0.0457815
"inferiority complex"	0.0457729
"antitrust regulator"	0.0457419
batsmen	0.0457003
"Pacific Coast"	0.0456984
infantrymen	0.0456835
"car maker"	0.0455994
footballer	0.0453966
warplane	0.0453688
"Airbus Industrie"	0.0453515
"intercontinental ballistic missile"	0.0449682
parolee	0.0449549
"water project"	0.0448075
"Central Election Commission"	0.0446902
third-graders	0.0446214
"car manufacturer"	0.0445965
fibroids	0.0443754
refiner	0.0442599
"industrial revolution"	0.0441968
psychoanalysis	0.0441639
Telkom	0.0441535
"bus company"	0.0441111
"Black Sea Fleet"	0.0439469
"more than three-fourths"	0.0439282
"state-owned enterprises"	0.043919
obstinacy	0.0438566
"French people"	0.0438344
"trade balance"	0.0437769
"Economic and Monetary Union"	0.043454
"monetary system"	0.0433752
"computer giant"	0.0431289
Ecuadoreans	0.0430722
"Thabo Mbeki"	0.0430182
"military control"	0.0429757
"poison gas"	0.0429563
"Maria Butyrskaya"	0.0429365
"steel company"	0.0429161
backwardness	0.0428436
"Council of Economic Advisers"	0.0428402
macro-economy	0.0427945
EPZs	0.0427629
nosebleed	0.042659
"take-home pay"	0.0426557
"copper mine"	0.0425441
"Doug Walker"	0.0425267
soliders	0.0425
"Gauteng Province"	0.0423276
"land area"	0.042285
"national income"	0.0422755
PLDT	0.042172
airway	0.0421702
"Central American nation"	0.0421012
"pricing system"	0.0419437
"fashion industry"	0.041918
"Met Life"	0.0418874
"solar energy"	0.0418629
"building society"	0.0417987
Checo	0.0416907
counterintelligence	0.0416434
"test-tube baby"	0.0415175
"electoral system"	0.0415009
"Canadian Airlines"	0.0414617
militarism	0.0414605
"drug trade"	0.041284
Chautauqua	0.0412781
"growth prospect"	0.04127
"U.N. Mission"	0.0410503
"highway system"	0.0409167
"South American nation"	0.0408926
flamethrower	0.0407557
"intelligence agent"	0.0407273
"opera company"	0.0407263
"gambling casino"	0.0406719
"Shas Party"	0.0406181
forefather	0.0404843
"regulatory authority"	0.0404159
"member bank"	0.0402986
"Coca-Cola Enterprises"	0.0401567
"San Franciscans"	0.0401561
"Red Army"	0.0400182
))
("arms race" (desc 15944.5) (sims
confrontation	0.144529
conflagration	0.141705
tension	0.126857
"price war"	0.125908
Proliferation	0.125229
escalation	0.123013
instability	0.117505
hostility	0.114899
unrest	0.114531
conflict	0.113738
war	0.109341
"military action"	0.104831
rivalry	0.103734
bloodshed	0.100751
crisis	0.099125
violence	0.0945542
spiral	0.0945387
disintegration	0.0904293
destabilization	0.0901145
deflation	0.0889909
deterioration	0.0888126
buildup	0.0887613
"chain reaction"	0.0881862
meltdown	0.0881073
catastrophe	0.0873507
Non-Proliferation	0.0871883
clash	0.0871449
turmoil	0.0868134
standoff	0.0864233
rapprochement	0.0861595
overheating	0.0859877
recession	0.0855904
flare-up	0.0845982
warfare	0.0845081
hyperinflation	0.0841371
devaluation	0.0833916
crises	0.0832112
feud	0.0828614
"air attack"	0.0825791
turbulence	0.082503
famine	0.0822998
upheaval	0.0820725
firestorm	0.0811395
"brain drain"	0.0811231
"civil war"	0.0810965
epidemic	0.0808109
anarchy	0.0799079
controversy	0.0794675
calamity	0.0793308
selloff	0.0792144
"economic crisis"	0.079127
fighting	0.0790314
downturn	0.0788221
"flash point"	0.0785221
exodus	0.078174
protectionism	0.0775853
contagion	0.0773876
inflation	0.0769172
aggression	0.0769025
strife	0.0768257
riot	0.0761833
terrorism	0.0753779
chaos	0.0749608
degradation	0.0745037
bloodletting	0.073292
speculation	0.0726215
rioting	0.0723413
"world war"	0.0714029
diplomacy	0.0707399
"military campaign"	0.0705124
backlash	0.07026
"forest fire"	0.0702496
frenzy	0.0702266
crunch	0.0699817
walkout	0.0698069
bloodbath	0.0697388
slowdown	0.0694347
rebellion	0.0694041
"interest rate increase"	0.0692289
furor	0.069138
mudslide	0.0690996
selloffs	0.0682644
"brush fire"	0.0681514
dialogue	0.0681098
airstrikes	0.0680621
annihilation	0.0678906
desertification	0.0677601
deployment	0.0675785
intervention	0.0673004
lawlessness	0.0669075
detente	0.0663968
hegemony	0.0663573
"takeover battle"	0.0663531
integration	0.0662325
sell-off	0.0661192
outcry	0.0660182
"work stoppage"	0.0655627
friction	0.0655059
"arms control"	0.0654761
brinksmanship	0.0653529
repression	0.0651971
expansion	0.0651424
boycott	0.0650809
uproar	0.0650431
polarization	0.0647967
pandemic	0.0646361
outbreak	0.0643414
starvation	0.0642425
consolidation	0.0641954
"New Wave"	0.0641453
panic	0.0639881
destruction	0.0638649
insurrection	0.0638426
blackout	0.0638078
outflow	0.0637054
default	0.0634724
shutdown	0.0633586
looting	0.0631708
mayhem	0.0629938
disaster	0.0627275
recrimination	0.0626493
wildfire	0.062547
explosion	0.0622202
enmity	0.0621692
litigation	0.0620677
showdown	0.0616566
rift	0.0613776
stalemate	0.0611852
tug-of-war	0.0611554
finger-pointing	0.0611336
imbalance	0.0608908
quarrel	0.0608225
animosity	0.0605908
uncertainty	0.0604717
hysteria	0.0604452
isolation	0.0603317
breakup	0.0602503
meltdowns	0.059785
"balance of power"	0.0597737
melee	0.0597178
invasion	0.0597119
insurgency	0.0593756
shortage	0.0593666
spree	0.0592432
separatism	0.0591427
"Cold War"	0.0589317
flashpoint	0.0589034
boom	0.0587046
disturbance	0.0586239
revolt	0.0586166
estrangement	0.0584385
manhunt	0.0584219
brawl	0.0583827
entanglement	0.0583028
"crime wave"	0.0582598
volatility	0.0582571
depletion	0.0582256
globalization	0.0581907
"merger talk"	0.0578876
reprisal	0.0578638
depreciation	0.0578418
crackdown	0.0578332
mutiny	0.0577144
offensive	0.0576936
dialog	0.0575585
sabotage	0.0574694
insecurity	0.0573958
"flash flood"	0.0573044
bombardment	0.0572575
"extracurricular activity"	0.0572
duplication	0.057189
downturns	0.0571001
blockade	0.0569385
squabble	0.0569185
immigration	0.0567926
"war game"	0.0567823
disruption	0.056628
"drug trade"	0.0564289
"custody battle"	0.0563979
"bank failure"	0.0563746
shelling	0.0562677
stampede	0.0562079
"price pressure"	0.0562077
gridlock	0.0561889
skirmish	0.0561652
"Vietnam War"	0.0560298
dumping	0.0559456
misunderstanding	0.0559304
shakeout	0.0558595
Liberalization	0.055827
persecution	0.0557647
"labor dispute"	0.0555704
cycle	0.0554844
fallout	0.0554405
uprising	0.0554012
exploitation	0.0552959
hike	0.0552944
"rate rise"	0.0552311
worsening	0.0551521
impasse	0.0551481
))
(Armstead (desc 1225.58) (sims
"Jessie Armstead"	0.186561
Artest	0.102581
Wenger	0.10258
Summitt	0.0994313
Atler	0.0990666
Ftorek	0.0954102
Ruehe	0.0948648
Najera	0.0938008
Marinovich	0.0904041
Sherrill	0.0892134
Solis	0.0874473
Mendez	0.0864717
Muoneke	0.083972
Swann	0.0836051
Hilliard	0.0833058
Andreychuk	0.0822878
Rongen	0.0817621
Suarez	0.0814187
DiSarcina	0.080694
Reimer	0.0803489
Heinrichs	0.0798611
Romar	0.07961
Hybl	0.0782855
Zenga	0.0764286
Geiger	0.0761914
McMillan	0.0760031
Perisho	0.0759236
Kupchak	0.075868
He/she	0.0757162
McCray	0.0753722
Brunell	0.0750549
Lamont	0.0747021
Longley	0.0746764
Henning	0.0742696
Skiles	0.0740692
Parris	0.073853
Soward	0.0738052
Grasso	0.0734311
Harbaugh	0.073154
Plante	0.0723256
Muckler	0.0718198
Moakley	0.071681
Rahal	0.0716515
Godfrey	0.0716089
Hauser	0.0715074
Dunleavy	0.0714407
Finkel	0.0710094
Monson	0.0709216
Chouinard	0.0708584
Laperriere	0.0706022
Stoneman	0.0704593
Ceballos	0.0699793
Passarella	0.06962
Buhner	0.0696161
Rubenstein	0.0695449
Prewitt	0.0694156
Baugh	0.0690788
frist	0.0690757
Sydor	0.0690202
Gooding	0.0686086
Romanowski	0.0682265
Clements	0.0681742
Sato	0.0677444
Gullikson	0.0677406
Maldini	0.0676543
McKenna	0.0672834
Paxon	0.0671292
Inhofe	0.0670754
Coffey	0.0668068
"Jason Sehorn"	0.066733
Sehorn	0.0666964
Braswell	0.0661036
Finney	0.0658261
Harkes	0.0657308
Ulrich	0.0657025
Stubbs	0.0652088
Tomjanovich	0.0649963
Cortines	0.0649234
Padilla	0.0646615
Milbury	0.0644095
Dunham	0.0643438
Lacroix	0.0641598
Conroy	0.0641427
Langenbrunner	0.064036
Westphal	0.0639943
ISSEL	0.063849
Rossotti	0.0634177
Stricker	0.0633141
Zambrano	0.0632157
Chrebet	0.0631957
Sasser	0.0629902
Fleischer	0.0629868
Fuentes	0.0627794
"administration official"	0.0627666
Lobo	0.0626577
Lampkin	0.0625299
hodgson	0.0625226
Cremins	0.0625063
Cowens	0.0624879
Betts	0.0622286
Steiner	0.062187
Caminiti	0.0621172
Farber	0.0620215
Pruett	0.0619505
Brack	0.0619336
Okada	0.0619173
Carbonneau	0.0618774
Boles	0.0618002
Schottenheimer	0.0617602
Alou	0.061639
Westbrook	0.061503
Canady	0.0611553
Aventajado	0.061153
Ito	0.0611385
Ditka	0.0608954
Cota	0.0608078
Thurber	0.0605951
Calvary	0.0604645
Chastain	0.060383
Rylander	0.0602812
Gainey	0.0602755
Carollo	0.060138
Bratton	0.0599445
Anand	0.0598869
Markovic	0.0598236
Eizenstat	0.0597534
Colangelo	0.0597262
Bustamante	0.0597193
Difrancesco	0.0597074
Joyner-Kersee	0.0596924
Samuelson	0.0596445
Wilkins	0.0594092
Mandella	0.0593842
Gossage	0.0592597
Pickens	0.0591204
El-Amin	0.0590617
Polian	0.058861
Atkins	0.0588399
Wheatley	0.0588148
Scalabrine	0.0588054
Szczerbiak	0.0587968
Ochoa	0.0586984
Verniero	0.0585794
Scheck	0.0583363
Goossen	0.0583103
Shandling	0.0582551
Burt	0.0582331
Gorter	0.0582221
Lowery	0.0580278
alicia	0.0578529
Bonilla	0.0578509
Cassell	0.0578287
McInnis	0.0578152
Inman	0.057528
Whitsitt	0.0575061
Beazley	0.0573208
Molinari	0.0573157
Sim	0.0572916
Arens	0.0572534
Copeland	0.0572087
Franchitti	0.0571941
Ruggiero	0.0571332
Pennington	0.0571012
Pederson	0.0570272
Schoenfeld	0.0570125
Velarde	0.0569918
swank	0.0569812
Elster	0.0569322
Showalter	0.0569094
Barrie	0.0568969
McKnight	0.0568833
Furyk	0.0568213
Stinnett	0.056714
Alomar	0.056688
Mabry	0.0566467
Briscoe	0.0566282
Weldon	0.0565846
HELLER	0.0565345
Wadsworth	0.056392
Majerle	0.0563791
Diouf	0.0563761
Kyl	0.0562112
Ikeda	0.0561988
Frye	0.0561553
Zhirinovsky	0.0560576
beamer	0.0560535
Dunne	0.056045
Traylor	0.0560339
LaPierre	0.0560027
Lehtinen	0.0559573
Goldin	0.0559467
DeBerg	0.0559406
Jacquet	0.0559153
Finley	0.0559035
Darnell	0.0558717
Rhonda	0.0558049
"Larry Centers"	0.0558015
Cora	0.055781
Kuhn	0.0557699
Jobe	0.0557687
))
(Armstrong (desc 29707.1) (sims
Ullrich	0.133452
Pantani	0.124794
Jalabert	0.11705
"Lance Armstrong"	0.116917
"Marco Pantani"	0.103099
Stewart	0.0983487
Gordon	0.0936871
Robinson	0.0901903
Johnson	0.0894407
Moxley	0.0875855
Labonte	0.0871543
smith	0.0868498
Maier	0.0865379
Carter	0.0852228
"Laurent Jalabert"	0.0851914
Elliott	0.0849321
Jones	0.0843418
Williams	0.0830431
Montoya	0.0827453
Taylor	0.0813617
Shepard	0.0813441
Zanardi	0.0809312
Greene	0.0807408
Byrd	0.0807148
Earnhardt	0.0806381
Starovoitova	0.0802887
Anderson	0.080281
Hakkinen	0.079915
Lewis	0.0796841
Watson	0.0790857
Wilson	0.0790212
Edwards	0.0788203
Sainz	0.0787548
Irwin	0.0787043
fisher	0.0786966
Garcia	0.0786376
Welch	0.0785549
Glenn	0.0781695
Olano	0.0779861
Virenque	0.0775949
Harris	0.0775124
Makinen	0.0772474
Bennett	0.0770776
Nelson	0.077067
Jackson	0.077006
Miller	0.0760691
O'Meara	0.0757271
Chamberlain	0.0753111
Webb	0.0751581
Olson	0.07487
Torre	0.0745751
martin	0.0738585
Kjus	0.0738489
Phillips	0.0738056
Agassi	0.0733556
Ferguson	0.0732736
Nicklaus	0.0730027
Krzyzewski	0.072953
Thomas	0.0729211
Jarrett	0.0726882
Schumacher	0.0725046
Jacobs	0.0723234
Rodman	0.0721881
Cohen	0.0721695
Kennedy	0.0721278
Tyson	0.0721123
Adams	0.072094
Palmer	0.0720763
walker	0.0718781
Bush	0.0714919
Julich	0.071043
Rodriguez	0.0708925
McCain	0.0708779
Ramsey	0.0706608
Kwan	0.0706358
Scott	0.0704547
Gonzalez	0.0703359
Daly	0.0702063
Duval	0.0701858
Sosa	0.0701374
Lindbergh	0.0700755
Franchitti	0.0699572
he	0.0699542
Maradona	0.0697241
Landry	0.0696987
Sutton	0.0696777
gore	0.0696285
Wallace	0.0694694
Hickman	0.0694443
Gretzky	0.0693447
Thompson	0.0693366
Riley	0.0692256
Hamilton	0.0691217
Mitchell	0.0691113
she	0.0690988
Walsh	0.0690867
Chen	0.069062
Owens	0.0689969
Slepian	0.0689594
DiMaggio	0.0688706
Flores	0.06885
Jimenez	0.0688017
Cooper	0.0687791
Evans	0.068728
Cunningham	0.0686184
Goldstein	0.0683465
Waltrip	0.068303
Levin	0.0680194
McGwire	0.067939
collins	0.0678968
Murray	0.0678802
Boardman	0.0676775
Reid	0.0676614
Kim	0.0675301
Robertson	0.0674941
Moore	0.0674777
Gates	0.0673415
Peterson	0.0671688
Putin	0.0671365
Finley	0.0671045
Leonard	0.0669401
Stevens	0.0668705
DOLE	0.0668123
Berenson	0.0668115
pope	0.0667826
Villeneuve	0.0667349
Benton	0.0666862
Loroupe	0.0666698
Perrot	0.0666085
Cheney	0.0664856
Barkley	0.0664819
Sanders	0.0664717
Ryan	0.066339
Lee	0.066312
Richardson	0.0662218
Khannouchi	0.0662151
Crenshaw	0.0660046
"James Byrd Jr."	0.0659386
Zimmer	0.0658762
Rossi	0.0658643
Wang	0.0656962
Allen	0.0656338
Morrison	0.0656169
Lopez	0.0655314
Clark	0.0653651
JonBenet	0.0653113
Kelley	0.0652181
Hoffman	0.0649536
Davis	0.0649454
Griffey	0.0649331
Yeltsin	0.0648694
Tanui	0.0647824
Baker	0.0646083
Carroll	0.0645513
Steele	0.0644673
Sullivan	0.0643409
Barton	0.0643402
Burton	0.0642081
Cipollini	0.0641929
Valenzuela	0.0641794
Hughes	0.064137
Harrington	0.064111
Sampras	0.0639985
Mandela	0.0636977
Bradley	0.0636698
Richards	0.0636521
turner	0.0636174
Singh	0.063598
Ewing	0.0635751
Cole	0.0635635
Clinton	0.0635274
Skinner	0.0635146
Pippen	0.0634545
Kelly	0.0634042
Sotomayor	0.0633885
Blake	0.0633073
Berger	0.0631894
Simpson	0.0630648
Appleby	0.0630165
Freeman	0.0629032
Carr	0.0628808
Henderson	0.0628649
Morgan	0.0628561
Foley	0.0628222
Payton	0.0627562
Powell	0.0626683
Seles	0.0626505
king	0.0626281
Castro	0.0626235
Thorpe	0.062602
Popov	0.0625172
Ross	0.0624361
Devers	0.0624169
Wright	0.0624074
"Neil Armstrong"	0.0623679
Malone	0.062363
Payne	0.0623486
Watkins	0.0623039
Schroeder	0.0622758
Martinez	0.0622153
))
(army (desc 189890) (sims
"armed forces"	0.255517
military	0.254638
troop	0.250633
force	0.237198
"security force"	0.202657
militia	0.194995
"Air Force"	0.19481
rebel	0.190953
navy	0.189293
police	0.188865
soldier	0.184202
guerrilla	0.174213
government	0.168254
"U.S. Army"	0.160116
"police force"	0.153844
"military force"	0.146608
"Kosovo Liberation Army"	0.13887
KLA	0.137429
peacekeeper	0.132376
ECOMOG	0.130026
group	0.128179
Taliban	0.127865
authority	0.127643
militant	0.127398
NATO	0.124936
"Liberation Army"	0.124212
Hezbollah	0.123009
militiamen	0.121521
faction	0.120762
SLA	0.119849
"National Guard"	0.119115
fighter	0.118875
Serbs	0.1178
battalion	0.116493
unit	0.115251
regime	0.114907
party	0.114795
PLA	0.113877
ministry	0.113625
marine	0.113067
Israel	0.11299
IDF	0.112482
UNITA	0.111654
Brigade	0.109699
"Marine Corps"	0.109656
organization	0.109112
junta	0.108299
commander	0.107595
agency	0.107196
civilian	0.106606
policemen	0.10635
department	0.105435
officer	0.105302
infantry	0.105023
insurgent	0.103689
"Interior Ministry"	0.100563
Alliance	0.0999115
administration	0.0992354
separatist	0.0991383
country	0.0991323
"Coast guard"	0.0990636
U.N.	0.0988034
ally	0.0980876
"military police"	0.0980607
"army officer"	0.0979335
movement	0.0975517
commando	0.0970272
nation	0.0966925
squad	0.0965169
parliament	0.096238
personnel	0.0946955
President	0.0946819
leader	0.0946666
contingent	0.0946493
"political party"	0.0943795
paramilitary	0.0943217
"South Lebanon Army"	0.0941633
gang	0.0938942
official	0.0937906
Pentagon	0.0930236
"military officer"	0.0927462
terrorist	0.0925639
CIA	0.0925331
"military unit"	0.09242
FBI	0.0922003
Judiciary	0.0916828
warplanes	0.0912875
"central bank"	0.0912024
Iraq	0.0909553
"United Nations"	0.0908482
state	0.0907444
Coalition	0.0907302
institution	0.0905768
community	0.0903986
"military leader"	0.0903186
"United States"	0.0901985
extremist	0.0899356
"police department"	0.0899186
"Revolutionary United Front"	0.0896174
Albanian	0.0892625
General	0.0888934
refugee	0.0888418
enemy	0.0877641
people	0.0876383
U.S.	0.0876099
opposition	0.0875371
LTTE	0.087424
FARC	0.0872006
"secret service"	0.0870675
embassy	0.0870231
"federal government"	0.0866123
"foreign minister"	0.086405
team	0.085809
union	0.0857562
paratrooper	0.0854651
Iran	0.0853085
company	0.0850948
gunmen	0.0850218
cabinet	0.0850031
MILF	0.0846056
PKK	0.0844577
Israeli	0.0842471
KFOR	0.0842312
artillery	0.0841014
minister	0.0840096
leadership	0.0839162
"Foreign Ministry"	0.083888
troops	0.0837302
Congress	0.0837065
ruler	0.0831034
"police officer"	0.0829909
Russia	0.0825413
"Khmer Rouge"	0.0824903
federation	0.0823764
Council	0.0822377
nationalist	0.0821083
industry	0.0820694
China	0.0819992
staff	0.0818017
British	0.0817815
society	0.0817027
Regiment	0.0815832
Kabila	0.0815279
delegation	0.0811725
citizen	0.0810812
"Defense Ministry"	0.0807995
member	0.0807817
patrol	0.0803762
Pakistan	0.0802144
Ethiopia	0.0801839
RUF	0.0801626
"local government"	0.0801104
office	0.0800857
"air defense"	0.080083
university	0.0800749
helicopter	0.0797075
"Communist Party"	0.0795076
side	0.0792874
"naval forces"	0.0792799
Mission	0.0789755
corps	0.0788003
Yugoslavia	0.0783584
Syria	0.0782342
guard	0.0782181
"military personnel"	0.078174
settler	0.0781457
Palestinian	0.0777789
invader	0.0777435
"secret police"	0.0776866
commission	0.0775404
Communist	0.0773155
operation	0.0772858
"National Union"	0.0768464
mob	0.0766414
Milosevic	0.0766403
committee	0.0762696
ELN	0.0762068
"Justice Department"	0.0762049
city	0.0761911
Lebanon	0.0761644
"task force"	0.0761511
command	0.0759673
diplomat	0.0759493
court	0.0759426
sector	0.0759231
worker	0.0757682
war	0.075692
IRA	0.0756499
national	0.0756359
Nazi	0.075534
Hamas	0.0754029
Turkey	0.0753614
region	0.0752769
Ambassador	0.0752561
chief	0.0751417
service	0.0751276
enterprise	0.0750234
economy	0.0750064
Republic	0.0749637
camp	0.0749009
))
("Army Air Corps" (desc 1313.92) (sims
"Texas Air National Guard"	0.257642
"merchant marine"	0.185124
"British Army"	0.169557
"U.S. Army"	0.165879
"Marine Corps"	0.156986
"U.S. Air Force"	0.144419
"Air National Guard"	0.127954
Japanese-Americans	0.10559
"Air Force Reserve"	0.105048
"internment camp"	0.102182
"Royal Air Force"	0.101291
"combat mission"	0.0997475
"National Guard"	0.0967558
internment	0.0966541
infantryman	0.0825105
"atomic bomb"	0.0817454
"Peace Corps"	0.0802314
"Airborne Division"	0.0779088
"Desert Storm"	0.0738675
"Royal Shakespeare Company"	0.0705499
"naval officer"	0.0704905
"Operation Desert Storm"	0.0703425
"Nazi Germany"	0.0701952
"mental institution"	0.0698052
"South Pacific"	0.0692824
"Stabilization Force"	0.0689452
"Russian Far East"	0.067628
"armed service"	0.064418
"North Africa"	0.0632297
"prison camp"	0.0621486
Leningrad	0.0619421
"Los Angeles Police Department"	0.0619091
"Texas Senate"	0.0616711
NATO-led	0.0611108
Tanganyika	0.0598367
"Texas Legislature"	0.0594852
"electronic warfare"	0.0591172
Os	0.0584518
Guadalcanal	0.0583174
"League of Nations"	0.058249
"Economic and Monetary Union"	0.0577557
infantry	0.0574267
"over @@@ billion yuan"	0.0570436
"Korean War"	0.0563374
Post-Intelligencer	0.0563007
"Red Army"	0.0556828
"Northern League"	0.0553803
"Winning Colors"	0.0548276
"Self-Defense Forces"	0.0546249
"Manhattan Project"	0.0538997
stateside	0.0533472
INTERFET	0.0528302
cavalry	0.0526201
KFOR	0.0525216
"Audubon Society"	0.0522225
"about @.@ billion US dollars"	0.0508436
Nagasaki	0.050753
Indochina	0.0507038
"Russian Foreign Ministry"	0.0498849
"Woods Hole"	0.049859
"Revolutionary War"	0.0497241
Salemme	0.0494005
Lafleur	0.0491304
D-day	0.0488223
"Ballet Theater"	0.0487404
"Royal Navy"	0.0486665
"line of duty"	0.0485684
"over @.@ billion yuan"	0.0481398
Ogilvy	0.0481143
"Purple Heart"	0.0479143
"Kareem Abdul-Jabbar"	0.0476998
"Salomon Brothers"	0.0474994
down-and-out	0.0474871
Interpublic	0.046899
"Bear Bryant"	0.0468075
"Weight Watchers"	0.0466815
"House Un-American Activities Committee"	0.0466556
"more than @.@ billion dollars"	0.0466311
"Amherst College"	0.0463987
"about @.@@ billion dollars"	0.0462274
Godot	0.046183
"United Press International"	0.0459698
Westinghouse	0.0457695
"naval forces"	0.0456059
"crowd control"	0.0454289
"combat zone"	0.0453619
"Big West"	0.0453255
frontlines	0.045101
Constantinople	0.0450628
AEC	0.0450167
"Internal Affairs"	0.0449889
"about @@.@ million dollars"	0.0449547
"iron curtain"	0.0448693
"New Caledonia"	0.0447284
"Veterans Administration"	0.0446892
"Time Inc."	0.044333
"US Senate"	0.0441832
"US House"	0.0440983
"Marshall Islands"	0.0439517
Sybase	0.0439165
"Bell Labs"	0.0436022
Nicol	0.0435944
"SEA Games"	0.0435607
"European Jews"	0.0433471
plainclothes	0.0429225
"Australian Cricket Board"	0.0428526
"Russian Navy"	0.042851
Couric	0.0428376
"Special Forces"	0.0422998
"European Community"	0.0421618
"majority rule"	0.0421065
"Rampart Division"	0.042103
"John Connally"	0.0420702
"more than @@@ million dollars"	0.041992
"Fort Wayne"	0.04194
PATA	0.0419041
coastguard	0.0418753
"East Berlin"	0.0417996
"Texas House"	0.0417346
KNU	0.0416858
"intellectual property rights"	0.0414753
"Reagan administration"	0.0413276
"Royal Ballet"	0.0413238
NKP	0.0412546
Saigon	0.0412246
stead	0.0411152
"Nuclear Non-Proliferation Treaty"	0.0410889
"East African Community"	0.0410539
kamikaze	0.041016
"chemical warfare"	0.0409665
propulsion	0.0409389
"LPGA Tour"	0.0408647
"staff sergeant"	0.040784
UMNO	0.0407672
"tour of duty"	0.0405584
speakeasy	0.0405036
ITT	0.0402236
AFTA	0.0402193
nunnery	0.0401073
B-@s	0.0400148
))
("army base" (desc 10595.8) (sims
"air base"	0.125643
"Fort Hood"	0.1171
"military position"	0.107272
checkpoint	0.105367
"military post"	0.103
"military installation"	0.0978682
barrack	0.0965022
"police station"	0.0939817
airbase	0.0938232
depot	0.0920574
outpost	0.0915368
garrison	0.0898567
"navy base"	0.0863124
airfield	0.0857175
airstrip	0.0806668
"Camp Abubakar"	0.0762123
"Camp Pendleton"	0.0758935
kibbutz	0.0753424
"command post"	0.0750529
encampment	0.0748667
"military headquarters"	0.0743999
roadblock	0.0709553
causeway	0.0699946
consulate	0.0697171
morgue	0.0689385
campground	0.0674168
"U.S. Embassy"	0.066604
"railway station"	0.0663601
"military hospital"	0.0662451
ranch	0.0658937
embassy	0.065759
hilltop	0.0653978
"oil refinery"	0.0651925
residence	0.0640171
"observation post"	0.0638494
stronghold	0.0637651
enclave	0.0628364
"air defense"	0.0624657
"Elephant Pass"	0.0615521
"firing range"	0.0611217
heliport	0.0610548
junction	0.0605258
refinery	0.0602477
"bus stop"	0.0596573
"cattle ranch"	0.0595117
"Fort Benning"	0.0586031
frontlines	0.0582171
"traffic circle"	0.0575103
"military academy"	0.0573328
hostel	0.0564223
plantation	0.0560655
mosque	0.0558966
"Fort Bragg"	0.055627
"Methodist Hospital"	0.0554675
"abortion clinic"	0.0554124
"post office"	0.0552639
"power station"	0.0548448
Warehouse	0.0541766
hideout	0.053799
convoy	0.0532609
"Dulles International Airport"	0.0530053
"shopping mall"	0.0522894
"landing strip"	0.0521937
landfill	0.0519365
"port of entry"	0.0519052
Monastery	0.0517722
"small town"	0.0516051
"community center"	0.0514188
"Fort Lewis"	0.0513351
Fort	0.0512651
"Johnson Space Center"	0.0511991
substation	0.0511136
penitentiary	0.0510222
cemetery	0.0509796
courthouse	0.0508656
"indian reservation"	0.0505113
"power plant"	0.0504639
"train station"	0.0499088
"Pearl Harbor"	0.0496595
Mazar-e-Sharif	0.04965
"fire station"	0.0495947
"railroad station"	0.0494908
battlefield	0.0493557
"work camp"	0.0493463
campsite	0.0489811
farmhouse	0.0489346
Malisevo	0.0488314
sanitarium	0.0488062
"shopping center"	0.0486624
"polling station"	0.0484914
"concentration camp"	0.0484562
installation	0.0482872
mansion	0.0481724
"Gun Ri"	0.0481215
"Infantry Division"	0.0479592
seaport	0.0477929
shipyard	0.047749
"bus station"	0.0476225
quarry	0.0472027
temple	0.0471724
"Fort Dix"	0.0469004
"diplomatic mission"	0.0467538
"Hong Kong International Airport"	0.0465438
"dairy farm"	0.046413
palace	0.0463927
"building site"	0.0462904
"intelligence operation"	0.046267
"open-air market"	0.0460334
"Chinese Embassy"	0.045988
"air force officer"	0.0458376
sanctuary	0.045813
"Fort Campbell"	0.0456834
"gas station"	0.0456246
Jaffna	0.04537
Hamlet	0.0452645
"collective farm"	0.0452201
"Mount Hermon"	0.0450837
synagogue	0.04434
commune	0.0442742
terminal	0.0439852
"police office"	0.0439119
"steel mill"	0.0439094
"conference center"	0.0437971
pub	0.0437602
"industrial park"	0.0437458
"police academy"	0.0437239
Kilinochchi	0.0436866
"military force"	0.0436704
"Olympic Park"	0.0436531
dam	0.0436521
hangar	0.043645
nunnery	0.0436351
"coastal plain"	0.0435943
smelter	0.0435101
"medical center"	0.0434611
"apartment building"	0.0434306
"military unit"	0.0434093
"prison camp"	0.0433333
intersection	0.0430013
seminary	0.0428154
detachment	0.0427313
"bus terminal"	0.042612
"North Valley Jewish Community Center"	0.0425063
"mobile home"	0.0423645
Capitol	0.0421902
Freetown	0.042134
"Andrews Air Force Base"	0.0421289
"Columbine High School"	0.0421189
Basilica	0.0420141
schoolhouse	0.0419396
"elementary school"	0.0419279
"military vehicle"	0.0417555
policemen	0.041745
"parcel of land"	0.0415294
farmland	0.0414779
"garbage dump"	0.0414467
"army engineer"	0.0414444
foothold	0.0412955
"security force"	0.0412022
Convent	0.0411862
"police headquarters"	0.0410985
"Kai Tak"	0.0410584
Castle	0.0409904
discotheque	0.0408511
freeway	0.0408247
"Hilton Hotel"	0.0407679
"parking lot"	0.0406635
airforce	0.0406429
landfall	0.0405069
"amusement park"	0.0403382
grotto	0.0403238
Lighthouse	0.0402471
"country house"	0.0402336
homestead	0.0401009
"Kennedy Space Center"	0.0400566
refuge	0.0400123
))
("Army Corps" (desc 4433.71) (sims
"U.S. Fish and Wildlife Service"	0.125013
"U.S. Army Corps of Engineers"	0.121633
"Fish and Wildlife Service"	0.101574
"Forest Service"	0.0995708
"Agriculture Department"	0.0987694
"Department of Agriculture"	0.097108
"Consumer Product Safety Commission"	0.0939899
"Department of Health and Human Services"	0.0918537
"Energy Department"	0.0914783
"Federal Emergency Management Agency"	0.0913791
"National Highway Traffic Safety Administration"	0.0889442
"National Park Service"	0.0877844
OSHA	0.0875847
"Department of Environmental Conservation"	0.0859068
"U.S. Forest Service"	0.084487
EPA	0.0843225
USDA	0.0836769
"Occupational Safety and Health Administration"	0.083474
"Department of Transportation"	0.0833408
"Board of Elections"	0.0813717
"U.S. Environmental Protection Agency"	0.0810937
"Department of Labor"	0.0809936
"National Oceanic and Atmospheric Administration"	0.0804683
"Federal Highway Administration"	0.0801898
"National Institutes of Health"	0.0797705
"Environmental Protection Agency"	0.0796336
"Interior Department"	0.0795603
"Census Bureau"	0.0791554
"Department of Energy"	0.0787066
"British government"	0.0786969
"Food and Drug Administration"	0.0786459
"customs service"	0.0783655
"Bureau of Land Management"	0.0780274
"Federal Aviation Administration"	0.0779645
corps	0.077158
"Department of Finance"	0.0767814
"Department of Justice"	0.075413
"Transportation Department"	0.0744999
"Health Department"	0.0743829
FDA	0.0741781
"Health Care Financing Administration"	0.0725417
"Department of Corrections"	0.0725324
"Federal Trade Commission"	0.072165
"U.S. Immigration and Naturalization Service"	0.0706544
"American Lung Association"	0.0684914
"Coast guard"	0.0675248
"Health and Human Services Department"	0.067421
"Justice Department"	0.0673252
"task force"	0.0672298
"Bureau of Indian Affairs"	0.0664994
"Texas Department of Public Safety"	0.0662946
"Bureau of Alcohol"	0.0644768
"New York Police Department"	0.0642731
"Port Authority of New York"	0.0640962
"Con Edison"	0.0639744
"Agency for International Development"	0.0636033
"U.S. Coast Guard"	0.0635644
"National Academy of Sciences"	0.0631981
"Ministry of Interior"	0.0631286
"Immigration and Naturalization Service"	0.0628352
"Office of Management and Budget"	0.062671
"Port Authority"	0.0626513
"National Marine Fisheries Service"	0.0619051
"United Nations High Commission for Refugees"	0.0618117
"Industry Ministry"	0.0616419
"Department of Commerce"	0.0615616
"Home Ministry"	0.0613779
FEMA	0.0612444
"National Transportation Safety Board"	0.0611236
"Israeli Foreign Ministry"	0.0611047
"Department of Environmental Protection"	0.0607813
HUD	0.0598018
KPA	0.0596804
"Southern Poverty Law Center"	0.0596579
"border patrol"	0.0595517
"Justice Ministry"	0.059054
"National Republican Congressional Committee"	0.0589991
"Federal Bureau of Investigation"	0.0588038
CPSC	0.0583587
NRC	0.0580023
"National Science Foundation"	0.0576295
Crews	0.0575784
"American Association of Health Plans"	0.0575281
"Ministry of International Trade and Industry"	0.057081
"General Accounting Office"	0.0570687
"Philip Morris Cos."	0.0569755
"Department of Education"	0.056766
"State Department"	0.0566365
"Treasury Department"	0.0565088
"local department"	0.0563813
"Federal Communications Commission"	0.0562965
HKMA	0.0559324
"French Foreign Ministry"	0.055815
LAPD	0.0558148
"National Election Committee"	0.0554287
CCA	0.0553902
INS	0.0553124
FCC	0.0552463
EC	0.0549533
"Securities and Exchange Commission"	0.0547542
"Park Service"	0.0543925
"European Commission"	0.0542248
"Sydney Organizing Committee"	0.0541981
"Democratic Senatorial Campaign Committee"	0.0541866
"Transport Ministry"	0.0541502
"Department of Housing and Urban Development"	0.0535727
"Nuclear Regulatory Commission"	0.053014
"Congressional Budget Office"	0.0524594
"Central Intelligence Agency"	0.0522973
"United Nations High Commissioner for Refugees"	0.0522031
"Motion Picture Association of America"	0.0521474
"Los Angeles Police Department"	0.0521419
"American Cancer Society"	0.0520524
"Consumer Federation"	0.0517687
"World Health Organization"	0.0516316
GPU	0.051063
"Small Business Administration"	0.0510034
"Democratic Congressional Campaign Committee"	0.0509422
"Commerce Ministry"	0.0509281
"federal official"	0.050919
CNOOC	0.0509159
"John G. Rowland"	0.0508085
"George E. Pataki"	0.0507211
"BellSouth Corp."	0.0507058
breaching	0.050661
CCB	0.0506585
"National Aeronautics and Space Administration"	0.0506205
Amtrak	0.0504218
"Human Rights Campaign"	0.0502981
"Agriculture Ministry"	0.0500909
"Department of Health"	0.050087
"Log Cabin Republicans"	0.0500546
"National Trust"	0.050028
"U.S. Customs Service"	0.0499712
"Public Security Ministry"	0.0499324
"World Food Program"	0.0498106
"Social Security Administration"	0.0498066
"Interior Ministry"	0.0496638
"U.S. Olympic Committee"	0.0494904
Oxfam	0.0494856
"working group"	0.04948
"Department of Veterans Affairs"	0.0493494
"aerospace giant"	0.0492555
"Central Bank of Kenya"	0.0491323
"U.S. Postal Service"	0.0489667
"Pacific Exchange"	0.0489538
"Russian Space Agency"	0.0489419
"Audubon Society"	0.0489409
"U.S. Air Force"	0.048863
FAA	0.0488144
"Department of Foreign Affairs"	0.0486796
"patent office"	0.0486588
"Bank of Thailand"	0.0486539
"secret service"	0.0486337
"Royal Ulster Constabulary"	0.0485653
FTC	0.0484555
consortium	0.0483681
Brigade	0.0483451
"U.S. Defense Department"	0.0483373
"Air Transport Association"	0.0483002
IRS	0.0482787
Hynes	0.04825
"International Labor Organization"	0.0479432
"Metropolitan Transportation Authority"	0.0478991
"Russian Foreign Ministry"	0.0478865
"Labor Department"	0.0478834
"Education Department"	0.0478015
"U.N. High Commissioner for Refugees"	0.0477255
"civil defense"	0.0477119
Corp	0.0476017
"Revolutionary Guards"	0.0475877
"Red Cross"	0.0475871
"National Audubon Society"	0.0475222
"Labor Ministry"	0.0474567
"Drug Enforcement Administration"	0.0473848
"National Cancer Institute"	0.0473297
"U.S. State Department"	0.0473003
"Institute of Medicine"	0.0471937
"Dan Glickman"	0.047153
"municipal government"	0.0471147
"Department of Defense"	0.0470676
"National Security Council"	0.0467512
"regulatory agency"	0.0467375
"Independent National Electoral Commission"	0.0465087
Difrancesco	0.0464862
"auto manufacturer"	0.04622
"Defense Agency"	0.0462116
"United Nations agency"	0.0462068
PBOC	0.0462003
EEOC	0.0461447
"Russian Defense Ministry"	0.0460422
"National Association of Securities Dealers"	0.0460322
"Carter Center"	0.0460238
"World Jewish Congress"	0.0459475
"Department of Trade and Industry"	0.0458233
"army engineer"	0.0458137
"Constitutional Assembly"	0.0458097
"Alain Juppe"	0.0457148
CBO	0.0453955
CDC	0.0453855
))
("army engineer" (desc 989.632) (sims
plutocrat	0.126457
Crews	0.105647
"air force officer"	0.0953919
"house painter"	0.0884196
vaulter	0.0879421
"mechanical engineer"	0.0850003
bricklayer	0.0847518
infantrymen	0.0834031
"sea captain"	0.0823962
Consul-General	0.0819443
submariner	0.0795602
"art student"	0.0789244
"aerospace engineer"	0.0785506
backpacker	0.0759269
Caltrans	0.0755642
yachtsman	0.0755217
"naval officer"	0.075066
roofer	0.0741032
"intelligence agent"	0.0739273
"foreign service officer"	0.0730797
soliders	0.0727304
immunologist	0.0726773
serviceman	0.0721935
workmen	0.0715109
"intelligence analyst"	0.0706264
"department employee"	0.0705393
"intelligence officer"	0.0700978
"merchant ship"	0.06999
biochemist	0.0696309
"au pair"	0.0696105
coastguard	0.0682826
"American plan"	0.0681369
"army officer"	0.0667737
Govt	0.0662667
Thibault	0.0662568
"staff sergeant"	0.0661699
geophysicist	0.0657129
exterminator	0.0649968
triathlete	0.0648255
policewoman	0.0647526
"Home Secretary"	0.0647338
kayaker	0.0644822
"Defense Secretary"	0.0640297
"staff officer"	0.063627
steelworker	0.0632121
Airlines	0.0630948
infantryman	0.063071
"math teacher"	0.0626969
"Michael Portillo"	0.0619118
ornithologist	0.0614256
oddsmakers	0.0613568
overlord	0.0613089
"film maker"	0.0612528
nobleman	0.0609817
wage-earner	0.06035
consul	0.0598459
cager	0.0594864
"volleyball player"	0.0594593
"Colin McRae"	0.0591272
"three billion yuan"	0.0587889
Profiler	0.0587588
"Navy Seal"	0.0584767
"civil engineer"	0.0582161
stuntman	0.0579867
colonist	0.0578691
aristocracy	0.0577401
"aerospace giant"	0.057605
UNPREDEP	0.0574545
"altar boy"	0.0573329
"transit authority"	0.0571707
epee	0.056511
musicologist	0.0564254
"shot putter"	0.0564045
craftsmen	0.0563748
"Damon Hill"	0.0563169
FM	0.0563123
colonizer	0.0563044
Musashimaru	0.0562964
paratroops	0.0562252
corporates	0.0562223
"network administrator"	0.0558042
"general practitioner"	0.0557947
balloonist	0.0556703
IMS	0.0556678
landscaper	0.0556185
Consulate-General	0.0554083
"lieutenant general"	0.0551887
"Iwan Thomas"	0.0551313
sixth-grader	0.0550755
octogenarian	0.0549787
"little leaguer"	0.0548959
"military attache"	0.054805
imperialist	0.0547174
knighthood	0.05464
"David Hale"	0.0545202
botanist	0.0544973
"medical specialist"	0.054403
"Ramsey Clark"	0.0543815
enterpreneurs	0.0543783
"arms industry"	0.054071
"electrical engineer"	0.0540563
Berliner	0.0538857
"security consultant"	0.0536986
holidaymaker	0.0536698
MII	0.0536597
armymen	0.0536088
"transport ship"	0.0534955
"Health and Human Services Department"	0.0534878
noncitizens	0.0533723
oilmen	0.0531215
selector	0.053074
"British Foreign Office"	0.0529836
spacewalks	0.0527569
"word meaning"	0.0527217
"racing car"	0.052594
patrolman	0.0525469
pharmacologist	0.0525309
"viewing audience"	0.052465
"George Mitchell"	0.0522374
"pole vaulter"	0.0519125
rower	0.0518832
protectorate	0.0518372
medic	0.0517309
centerfield	0.0512307
colonialist	0.0509818
"postmaster general"	0.0509755
Seaman	0.050772
"fire fighter"	0.0507277
paratrooper	0.0506534
"landscape architect"	0.0505734
oilman	0.0505427
"Stacy Dragila"	0.0505079
"army tank"	0.0504402
bulldozer	0.0502906
paralegal	0.0502085
MD	0.0501438
airman	0.0501187
"farm boy"	0.0500435
"Atlanta History Center"	0.0499462
"antitrust regulator"	0.049895
"police lieutenant"	0.0498274
internist	0.049746
"trucking company"	0.0496852
tribesman	0.0496214
Grbac	0.049288
"military man"	0.0491018
repairman	0.0490032
"Park Service"	0.0489859
adjuster	0.0489523
airmen	0.0489227
"Boeing company"	0.0488842
C-@@@	0.0487861
"naval forces"	0.0487259
Atlantan	0.048661
Britannia	0.0486379
"day laborer"	0.0484897
dlr	0.0483912
suburbanite	0.0483847
"management consultant"	0.0482739
"Christopher Hill"	0.0480792
"military unit"	0.0480363
"undercover agent"	0.048001
clergyman	0.0479434
"letter carrier"	0.0477478
Lehigh	0.0477282
eighth-grader	0.0477236
"Amos Wako"	0.0477216
pressman	0.0476777
"Paul Merson"	0.0476352
clothesline	0.0475398
spacewalkers	0.0475312
"computer expert"	0.0474596
copywriter	0.0473838
"art historian"	0.047376
geologist	0.047348
alderman	0.0473248
illegals	0.0472615
airstrike	0.0472417
snowplow	0.0470644
"internment camp"	0.0470574
"TV reporter"	0.0468779
LL	0.0467497
Montalvo	0.0465236
whistleblower	0.0464966
Fiedler	0.0464066
"common law"	0.0463842
archeologist	0.046321
Magaziner	0.0463098
parachutist	0.046265
"military mission"	0.0462242
Cookery	0.0462217
"navy base"	0.0462076
"Joko Suprianto"	0.0461566
miler	0.0461421
"professional golfer"	0.0460348
geographer	0.0460294
"Whitey Ford"	0.0460281
"National Park Service"	0.0458382
"government officials"	0.0458274
"local department"	0.0458218
))
("army officer" (desc 17647.8) (sims
"military officer"	0.262431
"air force officer"	0.156258
policemen	0.154208
soldier	0.150869
diplomat	0.145778
"military leader"	0.145621
servicemen	0.143834
officer	0.138823
"military personnel"	0.138815
"military man"	0.137909
"intelligence agent"	0.135763
"cabinet minister"	0.13449
"police officer"	0.130207
"intelligence officer"	0.130013
"government officials"	0.127136
soliders	0.125133
businessmen	0.123892
commander	0.120941
armymen	0.120469
policeman	0.119986
"naval officer"	0.11989
"civil servant"	0.117608
Colonel	0.116959
"business executive"	0.114572
reservist	0.112811
commando	0.112191
parliamentarian	0.111941
Sergeant	0.110721
journalist	0.1083
serviceman	0.105955
activist	0.105927
businessman	0.105037
national	0.105007
militant	0.104805
"newspaper editor"	0.102669
"staff member"	0.101942
"business leader"	0.101761
civilian	0.101619
"enlisted man"	0.10139
"FBI agent"	0.100842
paratrooper	0.100507
dissident	0.0987979
citizen	0.098576
Ambassador	0.0982947
army	0.0979335
troop	0.0978189
militiamen	0.0977084
banker	0.0969632
Iranian	0.0967284
trooper	0.0965207
Admiral	0.0960141
"deputy foreign minister"	0.0959644
cadet	0.0959319
airmen	0.0958774
"prison guard"	0.0955552
Algerian	0.0951315
"foreign minister"	0.0946746
villager	0.0943732
General	0.0937718
"religious leader"	0.0935414
protestor	0.0934007
clergymen	0.0933135
Fishermen	0.092799
"truck driver"	0.0925607
Industrialist	0.0925604
"military attache"	0.0925548
"labor leader"	0.0919373
"head of state"	0.091791
"military police"	0.0917274
"military unit"	0.0909096
personnel	0.0907625
sailor	0.0907006
legislator	0.0906611
cleric	0.0905686
mercenary	0.0903424
Libyan	0.0900301
politician	0.0899493
detainee	0.0898082
gunmen	0.0897363
firemen	0.0897215
marine	0.0894903
"drug trafficker"	0.0891477
firefighters	0.089048
priest	0.0889729
consul	0.0889229
seamen	0.0888523
Pakistani	0.0882598
"university student"	0.0882376
guerrilla	0.0882038
"armed forces"	0.0876016
peacekeeper	0.0873639
deputy	0.0873233
guardsmen	0.0870261
"security force"	0.0868358
intellectual	0.0867816
police	0.0866856
miner	0.0866111
terrorist	0.0864248
missionary	0.0861399
technician	0.0859582
Lieutenant	0.0859557
pilot	0.0859268
"political prisoner"	0.0858408
"fire fighter"	0.0853667
"brigadier general"	0.085331
military	0.085044
clergyman	0.084985
engineer	0.084615
worker	0.0845762
Lebanese	0.0845269
scientist	0.0843565
cadre	0.0843322
"prisoner of war"	0.0838114
"federal official"	0.083566
"Iranian Jews"	0.0834323
Filipino	0.0833497
mutineer	0.0832623
suspect	0.0831398
rebel	0.0828784
smuggler	0.0828327
congressmen	0.0827605
"legal expert"	0.0827393
nurse	0.0826596
"federal agent"	0.082403
Hijacker	0.0821971
"crew member"	0.0821572
"school principal"	0.0821314
Colombian	0.0818237
"economic expert"	0.0816056
extremist	0.081543
prisoner	0.0811081
Jordanian	0.0810309
bodyguard	0.0809656
lawmaker	0.0808682
"public servant"	0.0806756
fighter	0.0800559
"church member"	0.0796029
staffer	0.0795914
chief	0.0795077
MP	0.0787275
"school teacher"	0.078723
"political leader"	0.0787175
functionary	0.0785946
administrator	0.0785857
academic	0.0785254
Procurator	0.0785238
medic	0.0783692
dignitary	0.0783562
protester	0.0782863
deserter	0.0781998
inspector	0.0781402
investigator	0.078091
"drug dealer"	0.0779216
agent	0.0777938
minister	0.0777773
militiaman	0.0777431
agronomist	0.0776131
Magistrate	0.077542
"law officer"	0.0773442
spy	0.0772713
warship	0.0772308
bureaucrat	0.0771418
businesspeople	0.076985
entrepreneur	0.0769051
"lieutenant colonel"	0.0767815
firefighter	0.0767357
veterinarian	0.0765702
"police detective"	0.0764819
"secret agent"	0.0762946
"security guard"	0.076256
Egyptian	0.0761023
delegation	0.0757964
"war criminal"	0.0755856
surgeon	0.075508
demonstrator	0.0752917
observer	0.0752246
delegate	0.0752086
aide	0.0751799
teacher	0.0751504
Kaunda	0.0751027
statesmen	0.0750688
employee	0.074831
detective	0.0748251
Israeli	0.0747977
Rwandan	0.0747858
seismologist	0.0747249
defector	0.0747043
doctor	0.0744384
constable	0.074431
"social worker"	0.0743394
educator	0.0741629
warlord	0.0741464
nun	0.0739392
youth	0.0735952
"intelligence analyst"	0.0733277
assailant	0.0732733
academician	0.0731459
fugitive	0.0730106
"finance minister"	0.072971
"farm worker"	0.0729618
))
("army tank" (desc 1982.58) (sims
"personnel carrier"	0.161389
"military vehicle"	0.152042
artillery	0.133316
gunship	0.131411
"artillery unit"	0.106845
"police car"	0.101006
jeep	0.0976737
bulldozer	0.0974402
"dump truck"	0.0935907
"fire truck"	0.0887803
"fire engine"	0.0883801
paratroops	0.0868258
gunboat	0.0864851
"patrol boat"	0.0862864
warplanes	0.0855048
solder	0.0854433
armor	0.0840601
"landing craft"	0.0839295
infantry	0.0839224
"rocket launcher"	0.0833523
minibuses	0.0827745
howitzer	0.0810533
"surface-to-air missile"	0.0793622
snowplow	0.0788783
warship	0.0782872
paratrooper	0.0777415
"military police"	0.0763912
emplacement	0.0759647
Humvees	0.07573
"machine gun"	0.0755042
Ambulance	0.0737956
"electrical device"	0.0731798
"National Guardsmen"	0.0721421
"automatic rifle"	0.0719384
"patrol car"	0.070686
"heavy weapon"	0.0698863
fighter-bombers	0.0696025
MiG-@@s	0.069183
mini-vans	0.068827
"patrol ship"	0.0685371
mini-buses	0.0683701
JAT	0.0679632
"garbage truck"	0.0673138
"American plane"	0.0672506
lorry	0.0666044
"school bus"	0.0663314
tractor	0.0659582
sniper	0.0648637
carbine	0.0641792
MiG-@@	0.063428
"Passion play"	0.0633339
launcher	0.0630784
AK-@@	0.0621169
"sawed-off shotgun"	0.0604572
"police dog"	0.0604119
hearse	0.06041
mercenary	0.060336
"Chevrolet Blazer"	0.0597405
hovercraft	0.0597127
warplane	0.0591185
bloodhound	0.0591018
lifeboat	0.0588626
"squad car"	0.0588195
"electric car"	0.0587593
"U.S. Air Force"	0.0584022
semitrailer	0.0583169
infantrymen	0.0574052
machineguns	0.0569385
"passenger car"	0.0560163
Yates	0.0558465
Banyamulenge	0.0554176
tractor-trailers	0.0553347
"rescue equipment"	0.0545829
"police van"	0.0545379
"Jeep Cherokee"	0.0540645
"artillery fire"	0.0538466
"battle group"	0.0531806
soliders	0.053133
troops	0.0530607
"water cannon"	0.052886
"oil slick"	0.0520839
"submachine gun"	0.0520699
Buss	0.0516876
"air defense"	0.0515832
Aurilia	0.0514595
gunner	0.0513112
reverser	0.0511883
backhoe	0.0510277
"National Guard"	0.0508161
"military unit"	0.0507506
"city bus"	0.0506841
"Corey Koskie"	0.0505104
"army engineer"	0.0504402
outbuilding	0.0499587
gendarmerie	0.0496276
"eminent domain"	0.0492081
musket	0.0486731
"Matt Franco"	0.0486606
Buggy	0.0486362
"Yugoslav Army"	0.0485235
"freight train"	0.0482774
Suburbans	0.0481277
"Hurricane Bret"	0.0480807
snowmobile	0.0476049
"sand dune"	0.0475821
"shuttle bus"	0.0474435
"military position"	0.0470948
"Momir Bulatovic"	0.0470946
"moving van"	0.0470833
"police boat"	0.0468346
MiGs	0.0466984
forklifts	0.0462988
"tractor trailer"	0.0461365
officialdom	0.0460655
"fighter aircraft"	0.0459817
BMWs	0.0458107
"fountain pen"	0.0456768
airmen	0.0456542
commando	0.0456283
deserter	0.0455555
mower	0.0455086
excavator	0.045375
"supply ship"	0.0452307
carload	0.0449223
minivans	0.0446316
guardsmen	0.044396
bazooka	0.0443396
"naval forces"	0.0440433
"oxygen mask"	0.0440349
"Ford Explorers"	0.0440145
"fire fighter"	0.0438198
"intelligence agent"	0.0438022
projectile	0.043765
"hand grenade"	0.0435644
warthog	0.0433451
reservist	0.0432986
"Brad Fullmer"	0.043282
"airplane ticket"	0.0432588
Berasategui	0.0429777
rickshaw	0.0428057
endoscope	0.0427578
"Scott Spiezio"	0.042747
occupier	0.0426683
"Toyota Corolla"	0.0425875
Hornaday	0.0424929
holidaymaker	0.0423338
cannonball	0.0421296
"animal skin"	0.0420231
"Tony Graffanino"	0.0419116
supplicant	0.0418413
"aircraft carrier"	0.0417063
forklift	0.0417024
Saenz	0.0416303
"Predrag Mijatovic"	0.0416192
"Land Cruiser"	0.0415879
medic	0.0415649
"television camera"	0.04151
"horizontal stabilizer"	0.0414283
"Kyle Brady"	0.0413771
sharpshooter	0.0413164
Uzi	0.0412533
UNAMSIL	0.0412462
EKG	0.0411881
armymen	0.0410784
F-@@s	0.0410658
"three pitchers"	0.0410495
"over @,@@@ hectares"	0.0410042
Fryman	0.0409943
"embryonic cell"	0.0409769
ICBM	0.0409735
searcher	0.0409692
Apaches	0.0408868
truckload	0.0408641
"chemical agent"	0.0408157
"chain saw"	0.0407242
"passenger train"	0.0406934
"mobile home"	0.0406842
Carollo	0.0406244
firemen	0.0404359
materiel	0.0402174
spindle	0.0401221
))
(armymen (desc 2628.44) (sims
soliders	0.254757
"fire fighter"	0.158635
"military personnel"	0.149767
servicemen	0.144838
firemen	0.142117
"military man"	0.141464
policemen	0.135346
fire-fighter	0.123275
reservist	0.121408
"army officer"	0.120469
"military unit"	0.118118
militiaman	0.105434
"military officer"	0.101543
"enlisted man"	0.100199
airmen	0.100119
Gendarme	0.0984453
firefighters	0.0971262
"National Guardsmen"	0.09709
Liberian	0.0954737
"government officials"	0.0941052
"fire truck"	0.0936988
protestor	0.092852
"Sri Lankans"	0.0925039
seamen	0.0921625
commando	0.0917087
Beijingers	0.0903416
"North Africans"	0.089958
"military police"	0.08825
"patrol boat"	0.087621
"fire engine"	0.0875677
paramilitary	0.0868149
"coal miner"	0.0865776
solder	0.0865606
"university student"	0.0849715
"security force"	0.0847955
Mozambican	0.0842397
"prison guard"	0.082459
"air force officer"	0.082371
skydiver	0.0819296
"fire brigade"	0.0819245
serviceman	0.0809756
Cuban-Americans	0.0807297
militiamen	0.0799268
herdsmen	0.0797595
combatant	0.0793044
"security guard"	0.0789699
crewmembers	0.0789294
"intelligence agent"	0.0784678
paratrooper	0.0783396
policeman	0.0780964
constable	0.0776283
"Kosovo Serbs"	0.0775791
Filipino	0.0775757
"police sergeant"	0.0774999
Bangladeshi	0.0774715
Ukrainians	0.0771401
Frenchmen	0.0768737
peacekeeper	0.0768495
"school girl"	0.0768459
"factory worker"	0.0768059
pensioner	0.0754832
crewmen	0.0750278
infiltrator	0.0743214
"prisoner of war"	0.0740174
Copt	0.0736223
Afghan	0.0735012
trainload	0.0734705
miner	0.0734354
gendarmerie	0.0732361
laborer	0.07302
conscript	0.0728786
laid-offs	0.0726194
"civil servant"	0.0724358
Nepalese	0.0723064
Somali	0.0720017
warship	0.071997
"Sierra Leonean"	0.0718488
medic	0.0714583
"trade unionist"	0.0712236
trooper	0.0703268
mercenary	0.0701383
"military attache"	0.0699985
marcher	0.0695853
gunboat	0.0694102
Eritrean	0.0692783
villager	0.0690978
"People's Liberation Army"	0.0689756
Namibian	0.0687855
peasant	0.0687809
"intelligence officer"	0.0683607
expatriate	0.0676766
batsmen	0.0676323
"work unit"	0.0674965
noncombatant	0.067368
passers-by	0.0669726
rescuer	0.0668508
paramedic	0.0664263
migrant	0.0663841
Japanese-Americans	0.0663391
"East Timorese"	0.0661875
"displaced person"	0.0661477
enlistee	0.0660091
submariner	0.0657913
Salvadoran	0.0657337
"naval forces"	0.0655959
Lebanese	0.0653255
troops	0.0652892
Fishermen	0.0646998
frogmen	0.0646609
Congolese	0.0646038
returnees	0.0645416
battalion	0.0645062
infantrymen	0.0644341
Ethiopian	0.0641922
businesspeople	0.0639889
settler	0.0637808
policewoman	0.0636839
"drug addict"	0.0636688
"naval officer"	0.0636439
detainee	0.0636299
"farm worker"	0.0636219
Sudanese	0.0635693
"Kosovar Albanians"	0.0634806
"surface ship"	0.0631674
Kamajors	0.063091
Rwandan	0.0630354
Burundian	0.0629503
Georgian	0.0629116
deserter	0.0625125
warplanes	0.0624806
worshiper	0.0624533
gunship	0.0623109
Tibetans	0.0621537
paratroops	0.0621362
Industrialist	0.0621062
Ghanaians	0.0620451
emigrant	0.0620451
Haitian	0.0619393
OFWs	0.0619286
major-leaguers	0.0618391
"military leader"	0.0617803
B-@s	0.0617749
sailor	0.0616812
illegals	0.0615323
Turk	0.0615011
postgraduate	0.061395
"insurance agent"	0.0613491
"military force"	0.0612813
part-timer	0.0606306
"Revolutionary Guards"	0.0606153
"census taker"	0.0606028
no-decisions	0.0603134
"medical specialist"	0.0602449
MIAs	0.0601907
sq.km	0.060177
"Kosovo Albanians"	0.0601398
cadre	0.0599932
Chechens	0.0599703
assailant	0.0598971
guardsmen	0.0597216
"law officer"	0.0597194
"South Koreans"	0.059679
"patrol ship"	0.0595861
"FBI agent"	0.059489
orphan	0.0593644
airforce	0.0593189
fighter-bombers	0.0592892
motorcyclists	0.0591989
"secret agent"	0.0591926
shopkeeper	0.0590754
Zimbabwean	0.0590479
"Iranian POWs"	0.0590048
infantry	0.058855
"Israeli Arabs"	0.0587675
Gi	0.0587543
"Greek Cypriots"	0.0586397
"temporary worker"	0.0585736
"brigadier general"	0.0585122
lemur	0.0584807
pilgrim	0.0583085
"domestic animal"	0.0580427
"mail carrier"	0.0579149
schoolgirl	0.0578318
Hungarian	0.057782
"sailing vessel"	0.0575604
VMs	0.0575484
"Iraqi POWs"	0.0575399
onlooker	0.0574769
schoolchildren	0.0574593
QBs	0.0574331
"military vehicle"	0.0573444
clergymen	0.0572211
frigate	0.0572141
cadet	0.0567951
mini-buses	0.056795
hemophiliac	0.0567766
Guatemalan	0.0567376
"union member"	0.0566857
Zairean	0.0566525
"Bosnian Muslims"	0.0563766
))
("Arnaud Boetsch" (desc 1572.11) (sims
"Sarah Pitkowski"	0.503568
"Nathalie Dechy"	0.44639
"Albert Portas"	0.427206
"Arnaud Di Pasquale"	0.410585
"Hernan Gumy"	0.394275
"Nicolas Escude"	0.389265
"Fabrice Santoro"	0.385841
"Arnaud Clement"	0.383186
"Renzo Furlan"	0.371561
"Jerome Golmard"	0.366061
"Guillaume Raoux"	0.355986
"Magui Serna"	0.348807
"Karim Alami"	0.345853
"Silvia Farina"	0.338634
"Alexandra Fusai"	0.33776
"Christian Ruud"	0.336773
"Julie Halard-Decugis"	0.334355
"Tatiana Panova"	0.333678
"Anne-Gaelle Sidot"	0.33283
"Andrei Pavel"	0.328685
"Xavier Malisse"	0.328077
"Anne Kremer"	0.326046
"Adrian Voinea"	0.31936
"Judith Wiesner"	0.317531
"Barbara Paulus"	0.316813
"Francisco Clavet"	0.315608
"Carlos Costa"	0.313479
"Sandrine Testud"	0.30992
"Mariano Zabaleta"	0.308326
"Tara Snyder"	0.30636
"Sebastien Grosjean"	0.306003
"Amelie Mauresmo"	0.305667
"Naoko Sawamatsu"	0.304157
"Rainer Schuttler"	0.303882
"Asa Carlsson"	0.302873
"Juan Antonio Marin"	0.301073
"Guy Forget"	0.300381
"Sabine Appelmans"	0.299621
"Marcos Ondruska"	0.298288
"Franco Squillari"	0.298272
"Andreas Vinciguerra"	0.296597
"Younes El Aynaoui"	0.296097
"Magdalena Maleeva"	0.295489
"Marcelo Filippini"	0.292349
"Vincent Spadea"	0.290545
"Dominique Van Roost"	0.290137
"Alberto Costa"	0.289381
"Alberto Berasategui"	0.287974
"Mariano Puerta"	0.2878
"Yayuk Basuki"	0.287098
"Joannette Kruger"	0.286864
"Kenneth Carlsen"	0.286699
"Ramon Delgado"	0.282386
"Mikael Tillstrom"	0.281714
"Galo Blanco"	0.28129
"Nicolas Lapentti"	0.279756
"Nicolas Kiefer"	0.279599
"Tamarine Tanasugarn"	0.27931
"Fernando Meligeni"	0.276758
"Neville Godwin"	0.276453
"Elena Likhovtseva"	0.27617
"Hicham Arazi"	0.275899
"Florencia Labat"	0.275658
"Gianluca Pozzi"	0.275374
"Rita Grande"	0.274918
"Michael Tebbutt"	0.273847
"Javier Sanchez"	0.271359
"Nathalie Tauziat"	0.271046
"Byron Black"	0.269376
"Miriam Oremans"	0.269029
"Mary Pierce"	0.267475
"Albert Costa"	0.267292
"Cara Black"	0.26688
"Brenda Schultz-McCarthy"	0.266819
"Cedric Pioline"	0.26599
"Olivier Delaitre"	0.265364
"Barbara Rittner"	0.264281
"Magnus Gustafsson"	0.263848
"Ruxandra Dragomir"	0.263373
"Kimiko Date"	0.262968
"Jason Stoltenberg"	0.261502
"Scott Draper"	0.260332
"Sebastien Lareau"	0.258976
"Davide Sanguinetti"	0.25882
"Catalina Cristea"	0.258083
"David Prinosil"	0.256094
"Roger Federer"	0.255523
"Kimberly Po"	0.255155
"Wayne Black"	0.253896
"Kveta Hrdlickova"	0.253415
"Jeff Tarango"	0.252539
"Sergi Bruguera"	0.252288
"Amy Frazier"	0.251975
"Andrew Ilie"	0.251455
"Wayne Ferreira"	0.251363
"Sjeng Schalken"	0.248557
"Grant Stafford"	0.248544
"Marc Rosset"	0.248451
"Nicole Pratt"	0.248246
"Olga Barabanschikova"	0.246873
"Andrea Gaudenzi"	0.246354
"Amanda Coetzer"	0.245027
"Max Mirnyi"	0.243663
"Ai Sugiyama"	0.243332
"Sargis Sargsian"	0.242824
"Thomas Johansson"	0.242747
"Richard Fromberg"	0.241768
"Natasha Zvereva"	0.241024
"Andrei Medvedev"	0.239738
"Iva Majoli"	0.239149
"Juan Carlos Ferrero"	0.238706
"Li Fang"	0.238299
"Anke Huber"	0.237177
"Felix Mantilla"	0.237055
"Magnus Norman"	0.237033
"Steve Campbell"	0.23605
"Kristie Boogert"	0.235432
"Elena Dementieva"	0.233983
"MaliVai Washington"	0.23363
"Lisa Raymond"	0.233199
"Mahesh Bhupathi"	0.231832
"Daniel Nestor"	0.231377
"John Van Lottum"	0.231145
"Jean-Philippe Gatien"	0.231015
"Patty Schnyder"	0.229904
"Els Callens"	0.229341
"Irina Spirlea"	0.228726
"Martin Damm"	0.227856
"Bohdan Ulihrach"	0.227138
"Thomas Enqvist"	0.226864
"Barbara Schett"	0.226534
"Mark Knowles"	0.225971
"Daniel Vacek"	0.225066
"Marat Safin"	0.224731
"Paola Suarez"	0.224235
"Conchita Martinez"	0.223442
"Kim Clijsters"	0.223015
"Karina Habsudova"	0.222439
"Jonas Bjorkman"	0.222156
"Julian Alonso"	0.222065
"Leander Paes"	0.221811
"Brett Steven"	0.220384
"Tommy Haas"	0.219482
"Filip Dewulf"	0.218665
"Russian Yevgeny Kafelnikov"	0.217317
"Magnus Larsson"	0.217249
"Chris Woodruff"	0.216652
"Tim Henman"	0.215156
"Adriana Gersi"	0.214083
"Todd Woodbridge"	0.213582
"Chanda Rubin"	0.212823
"Petr Korda"	0.212818
"Richey Reneberg"	0.211943
"Andres Gomez"	0.210487
"Arantxa Sanchez-Vicario"	0.210193
"Dominik Hrbaty"	0.209444
"Corina Morariu"	0.209201
"Mark Philippoussis"	0.205298
"Justin Gimelstob"	0.205036
"Rika Hiraki"	0.204624
"Todd Martin"	0.204533
"Paul Haarhuis"	0.203909
Siemerink	0.203099
"Michael Stich"	0.203066
"Dennis van Scheppingen"	0.203001
"Alex O'Brien"	0.201964
"Partizan Belgrade"	0.201866
"Karol Kucera"	0.201769
"Gustavo Kuerten"	0.200247
"Henrieta Nagyova"	0.200121
"Jonathan Stark"	0.199493
"Barbara Schwartz"	0.19839
"Greg Rusedski"	0.197138
"Mark Woodforde"	0.196901
"Didier Auriol"	0.193694
"Mirjana Lucic"	0.191991
"Arantxa Sanchez Vicario"	0.190867
"Thomas Muster"	0.190799
"Goran Ivanisevic"	0.190514
"Slava Dosedel"	0.189356
"Helena Sukova"	0.187127
"Carlos Moya"	0.186973
"Mary Joe Fernandez"	0.186514
"Pat Rafter"	0.186417
"Richard Krajicek"	0.186312
"Vince Spadea"	0.185243
"Gong Zhichao"	0.182709
"Janet Lee"	0.182039
"Denisa Chladkova"	0.181185
"Marcelo Rios"	0.180789
"Jan-Michael Gambill"	0.180403
"Lori McNeil"	0.179932
"Jiri Novak"	0.179593
Dragomir	0.17778
"Michael Chang"	0.177712
"South African Amanda Coetzer"	0.177693
"Nicklas Kulti"	0.177546
Ulihrach	0.175271
"Yevgeny Kafelnikov"	0.174335
"Slavia Prague"	0.173016
"Jim Courier"	0.172429
"Jacco Eltingh"	0.172368
"Alex Corretja"	0.170365
"American Todd Martin"	0.16897
"Sandon Stolle"	0.166996
"Jelena Dokic"	0.166881
"Diego Nargiso"	0.166557
"Wang Shi-Ting"	0.163361
"Olympique Marseille"	0.163215
"Peter Nicol"	0.163174
Meligeni	0.162964
"Paris St Germain"	0.159657
"Alexandra Stevenson"	0.158516
"Patrick Rafter"	0.157609
Limoges	0.15652
"Wayne Arthurs"	0.156232
"Mats Wilander"	0.156039
"Jennifer Capriati"	0.155814
"Rodney Eyles"	0.154457
Sanchez-Vicario	0.153082
Swardt	0.151278
"Stefan Edberg"	0.150939
"Katarina Studenikova"	0.14967
"Paul Goldstein"	0.14948
"Jana Novotna"	0.149125
"Xia Xuanze"	0.147906
Hrbaty	0.147553
"Fung Permadi"	0.14734
Likhovtseva	0.146562
Nacional	0.146472
"Lindsay Davenport"	0.145508
"American Lindsay Davenport"	0.145018
Kafelnikov	0.144607
"Wang Chen"	0.144431
Auxerre	0.144301
"Serena Williams"	0.144284
"Zhang Ning"	0.144167
"Susi Susanti"	0.143683
"Lleyton Hewitt"	0.14366
"Ye Zhaoying"	0.142664
Kroslak	0.142478
"Sandra Kleinova"	0.142319
"Monica Seles"	0.140814
Coetzer	0.140156
"Australian Mark Philippoussis"	0.139973
Zamalek	0.139822
"Boris Becker"	0.139484
Henman	0.138517
"Gong Ruina"	0.13764
"Mia Audina"	0.137247
Enqvist	0.136664
"Venus Williams"	0.135646
Schnyder	0.135597
Independiente	0.134712
"Peter Rasmussen"	0.134701
Clavet	0.134533
Kuerten	0.134283
Olimpia	0.133988
"Camilla Martin"	0.133642
"American Michael Chang"	0.133444
"Simon Archer"	0.132444
"Anna Kournikova"	0.132113
"Vladimir Samsonov"	0.130821
Kucera	0.130469
Berasategui	0.129448
Rusedski	0.129067
"Colo Colo"	0.129064
Halard-Decugis	0.127491
"American Chanda Rubin"	0.127189
Dosedel	0.126596
Hendrawan	0.126501
"Joko Suprianto"	0.126107
"Boca Juniors"	0.125489
Anderlecht	0.125133
Habsudova	0.124963
"Steffi Graf"	0.124951
"Li Ju"	0.124654
Samford	0.123641
"Yang Ying"	0.122757
Testud	0.122307
Novotna	0.122297
"Jorgen Persson"	0.122079
Krajicek	0.121728
Gustafsson	0.121569
Bastia	0.120054
Bjorkman	0.119539
Korda	0.119125
"Larisa Neiland"	0.118885
Moya	0.118788
"Christine Arron"	0.118423
"Sanchez Vicario"	0.117811
"Olympiakos Piraeus"	0.117682
Stoltenberg	0.117456
Bruguera	0.117386
Damm	0.117287
"Peter Gade Christensen"	0.116535
Rosset	0.115767
"Phenix City"	0.115761
Rosenborg	0.11552
Gremio	0.115053
"Andre Agassi"	0.114647
"Martina Hingis"	0.114155
"Dong Jiong"	0.113739
"Jan-Ove Waldner"	0.113627
Mantilla	0.113348
Prinosil	0.113303
Pioline	0.113206
"Rashid Sidek"	0.113182
"Jimmy Connors"	0.111612
"Ji Xinpeng"	0.111516
Lapentti	0.111499
"Guangzhou Apollo"	0.110667
Puerta	0.110153
Raoux	0.110106
"American Pete Sampras"	0.109965
Spirlea	0.109744
Corretja	0.109444
Mauresmo	0.1091
"Chen Gang"	0.108625
"VfB Stuttgart"	0.108426
Metz	0.108161
Brondby	0.107668
Majoli	0.106445
"Budi Santoso"	0.106242
"Briton Greg Rusedski"	0.106174
Penarol	0.106125
"Velez Sarsfield"	0.106115
"Taufik Hidayat"	0.105934
"American Andre Agassi"	0.105923
Nantes	0.105
Vacek	0.10421
Alabama-Birmingham	0.104121
Ivanisevic	0.103947
Edberg	0.103873
"Sturm Graz"	0.103574
Haarhuis	0.103476
"Le Defi Francais"	0.103465
"Wang Nan"	0.103416
Schett	0.103299
"AEK Athens"	0.103174
Palmeiras	0.103067
Sugiyama	0.103054
Cruzeiro	0.102786
Estudiantes	0.101749
"Bjorn Borg"	0.101652
"Dai Yun"	0.100958
"Ma Lin"	0.100916
"Ong Ewe Hock"	0.100797
"Jinan Taishan"	0.100687
Zvereva	0.100605
"Celta Vigo"	0.100365
"Wang Liqin"	0.100308
"Jansher Khan"	0.100291
))
("Arnaud Clement" (desc 2192.87) (sims
"Arnaud Di Pasquale"	0.522664
"Nathalie Dechy"	0.492106
"Guillaume Raoux"	0.473428
"Sarah Pitkowski"	0.463774
"Jerome Golmard"	0.456773
"Nicolas Escude"	0.403679
"Albert Portas"	0.40299
"Sebastien Grosjean"	0.395732
"Arnaud Boetsch"	0.383186
"Anne-Gaelle Sidot"	0.377658
"Fabrice Santoro"	0.364718
"Magui Serna"	0.362613
"Hernan Gumy"	0.355412
"Vincent Spadea"	0.350862
"Anne Kremer"	0.350541
"Younes El Aynaoui"	0.349611
"Guy Forget"	0.349335
"Ramon Delgado"	0.342302
"Franco Squillari"	0.341869
"Richard Fromberg"	0.340833
"Mariano Zabaleta"	0.339014
"Alexandra Fusai"	0.336215
"Sargis Sargsian"	0.334135
"Mariano Puerta"	0.332027
"Kenneth Carlsen"	0.330097
"Tatiana Panova"	0.330064
"Adrian Voinea"	0.329973
"Javier Sanchez"	0.329584
"Naoko Sawamatsu"	0.32707
"Miriam Oremans"	0.326652
"Judith Wiesner"	0.32292
"Roger Federer"	0.319889
"Sabine Appelmans"	0.319481
"Carlos Costa"	0.318237
"Karim Alami"	0.318101
"Filip Dewulf"	0.316703
"Joannette Kruger"	0.316617
"Amelie Mauresmo"	0.315802
"Julie Halard-Decugis"	0.315133
"Hicham Arazi"	0.311994
"Juan Antonio Marin"	0.310989
"Scott Draper"	0.310689
"Andrei Pavel"	0.310136
"Jeff Tarango"	0.308914
"Sandrine Testud"	0.308819
"Yayuk Basuki"	0.308479
"Asa Carlsson"	0.307579
"Florencia Labat"	0.307425
"Francisco Clavet"	0.306957
"Andreas Vinciguerra"	0.306215
"Christian Ruud"	0.303824
"Cara Black"	0.303426
"Olivier Delaitre"	0.301767
"Alberto Berasategui"	0.301259
"Sjeng Schalken"	0.300982
"Magnus Gustafsson"	0.300018
"Silvia Farina"	0.297849
"Galo Blanco"	0.296645
"David Prinosil"	0.296544
"Marcelo Filippini"	0.296123
"Julian Alonso"	0.295451
"Paul Haarhuis"	0.293929
"Magdalena Maleeva"	0.29206
"Ruxandra Dragomir"	0.290877
"Tamarine Tanasugarn"	0.290656
"Davide Sanguinetti"	0.288454
"Sergi Bruguera"	0.288066
"Xavier Malisse"	0.286615
"Elena Likhovtseva"	0.286467
"Fernando Meligeni"	0.285344
"Tommy Haas"	0.285018
"Michael Tebbutt"	0.284289
"Grant Stafford"	0.283314
"Leander Paes"	0.281472
"Andrea Gaudenzi"	0.281276
"Olga Barabanschikova"	0.280859
"Rainer Schuttler"	0.280006
"Cedric Pioline"	0.277708
"Andrew Ilie"	0.276987
"Jan-Michael Gambill"	0.275454
"Slava Dosedel"	0.275382
"Jason Stoltenberg"	0.274989
"Natasha Zvereva"	0.274334
"Marcos Ondruska"	0.274152
"Dominik Hrbaty"	0.273787
"Andrei Medvedev"	0.273716
"Mark Knowles"	0.273118
"Tara Snyder"	0.272364
"Mikael Tillstrom"	0.270392
"Sebastien Lareau"	0.269751
"Magnus Larsson"	0.269528
"Thomas Johansson"	0.268054
"Barbara Paulus"	0.267809
"Byron Black"	0.267148
"Nicolas Lapentti"	0.265236
"Neville Godwin"	0.264478
"Chanda Rubin"	0.264411
"Daniel Nestor"	0.264178
"Jonas Bjorkman"	0.264108
"Catalina Cristea"	0.263424
"Renzo Furlan"	0.260933
"Ai Sugiyama"	0.260459
"Magnus Norman"	0.259375
"Felix Mantilla"	0.258704
"Dominique Van Roost"	0.257461
"Max Mirnyi"	0.256612
"Nicolas Kiefer"	0.256467
"Kim Clijsters"	0.256407
"Brett Steven"	0.254963
"Mark Philippoussis"	0.254231
"Amy Frazier"	0.253978
"Elena Dementieva"	0.253725
"Els Callens"	0.252999
"Todd Woodbridge"	0.251907
"Gianluca Pozzi"	0.250793
"MaliVai Washington"	0.250438
"Wayne Arthurs"	0.250225
"Rita Grande"	0.249735
"Lisa Raymond"	0.248441
"Paola Suarez"	0.248253
"Vince Spadea"	0.247835
"Nicole Pratt"	0.247184
"Steve Campbell"	0.245181
"Wayne Black"	0.245145
"Richey Reneberg"	0.244584
"Nathalie Tauziat"	0.244374
"Marc Rosset"	0.243088
"Jean-Philippe Gatien"	0.241716
"Marat Safin"	0.240522
"John Van Lottum"	0.240013
"Juan Carlos Ferrero"	0.238163
"Daniel Vacek"	0.237959
"Irina Spirlea"	0.236719
"Mark Woodforde"	0.236272
"Jonathan Stark"	0.235757
"Barbara Rittner"	0.235129
"Patty Schnyder"	0.234543
"Nicklas Kulti"	0.23395
"Justin Gimelstob"	0.233788
"Jiri Novak"	0.231733
"Kristie Boogert"	0.229176
"Brenda Schultz-McCarthy"	0.229109
"Wayne Ferreira"	0.22877
"Bohdan Ulihrach"	0.227671
"Iva Majoli"	0.22732
"Mary Joe Fernandez"	0.226466
"Albert Costa"	0.225604
"Kimberly Po"	0.225593
"Lori McNeil"	0.224961
"Thomas Enqvist"	0.224669
"Anke Huber"	0.224385
"Mary Pierce"	0.224112
Siemerink	0.224079
"Chris Woodruff"	0.223366
"American Todd Martin"	0.223304
"Alberto Costa"	0.221438
"Karina Habsudova"	0.219109
"Amanda Coetzer"	0.218882
"Kveta Hrdlickova"	0.218805
"Li Fang"	0.217671
"Andres Gomez"	0.216702
"Jim Courier"	0.216646
"Karol Kucera"	0.216483
"Corina Morariu"	0.215216
"Mirjana Lucic"	0.213882
"Gustavo Kuerten"	0.210958
"Barbara Schett"	0.209454
"Martin Damm"	0.207564
"Carlos Moya"	0.206927
Kroslak	0.206639
"Jennifer Capriati"	0.205482
"Australian Mark Philippoussis"	0.204812
"Mahesh Bhupathi"	0.204768
Halard-Decugis	0.202728
"Henrieta Nagyova"	0.200003
"Marcelo Rios"	0.197717
"Rika Hiraki"	0.19723
"Conchita Martinez"	0.196334
"Richard Krajicek"	0.196313
"Todd Martin"	0.19547
"Thomas Muster"	0.195334
"Olympique Marseille"	0.195191
"Greg Rusedski"	0.193552
Swardt	0.193294
"Sandon Stolle"	0.192555
"Alex Corretja"	0.191177
"Barbara Schwartz"	0.190211
"Tim Henman"	0.190029
"Dennis van Scheppingen"	0.187767
"Arantxa Sanchez Vicario"	0.186755
"Petr Korda"	0.185597
"Michael Chang"	0.18458
"Paul Goldstein"	0.183885
"Stefan Edberg"	0.182289
"American Chanda Rubin"	0.182159
Stoltenberg	0.18182
"Adriana Gersi"	0.180973
"Michael Stich"	0.178606
"Alex O'Brien"	0.176077
"Lleyton Hewitt"	0.175638
"Denisa Chladkova"	0.172414
Kucera	0.171707
"Jelena Dokic"	0.171083
"Kimiko Date"	0.17097
"Anna Kournikova"	0.170893
Dragomir	0.170535
Berasategui	0.169068
"Goran Ivanisevic"	0.167283
"Arantxa Sanchez-Vicario"	0.166898
"Janet Lee"	0.164373
"Serena Williams"	0.164128
Testud	0.163963
"Helena Sukova"	0.163493
"Mats Wilander"	0.161716
Nacional	0.159865
"Pat Rafter"	0.159573
"Boris Becker"	0.158055
"Patrick Rafter"	0.15694
"Alexandra Stevenson"	0.156603
Coetzer	0.156602
"Diego Nargiso"	0.156467
"Peter Rasmussen"	0.155855
"Yevgeny Kafelnikov"	0.154067
"Partizan Belgrade"	0.151879
"Slavia Prague"	0.150066
"Wang Shi-Ting"	0.14902
Zvereva	0.147658
"Venus Williams"	0.146148
Kuerten	0.143983
"Monica Seles"	0.143208
"Rodney Eyles"	0.142364
"Ong Ewe Hock"	0.141344
Auxerre	0.14068
Bastia	0.140276
"South African Amanda Coetzer"	0.140219
Corretja	0.139447
Tarango	0.139359
"Fung Permadi"	0.139151
"Gong Zhichao"	0.139093
"Gong Ruina"	0.137882
Mauresmo	0.137369
"Lindsay Davenport"	0.136579
Raoux	0.136032
"Ji Xinpeng"	0.13575
Enqvist	0.135023
Bruguera	0.134543
Zamalek	0.134313
Ulihrach	0.134223
"Zhang Ning"	0.133993
Edberg	0.133379
"Jana Novotna"	0.132704
Olimpia	0.132178
"Paris St Germain"	0.132154
Habsudova	0.131908
"Colo Colo"	0.131728
Schalken	0.130689
Bjorkman	0.130096
Haarhuis	0.129513
Rosenborg	0.129308
Sugiyama	0.129107
"Andre Agassi"	0.129083
"Sandra Kleinova"	0.128764
"Didier Auriol"	0.128595
"Wang Liqin"	0.128444
Sanchez-Vicario	0.128193
"Larisa Neiland"	0.127922
"Katarina Studenikova"	0.127641
Rennes	0.127525
"Jacco Eltingh"	0.125912
"Ma Lin"	0.125887
Olympiakos	0.125768
Majoli	0.125386
Gremio	0.125209
Independiente	0.125191
"Peter Nicol"	0.124691
Larsson	0.123393
Pioline	0.122009
"Dai Yun"	0.121902
Anderlecht	0.121549
"Martina Hingis"	0.121266
Brondby	0.121137
"Steffi Graf"	0.121026
Clavet	0.120874
"Martin Lee"	0.120597
Puerta	0.120365
"Phenix City"	0.120352
Gustafsson	0.120346
"Vladimir Samsonov"	0.120343
"Russian Yevgeny Kafelnikov"	0.119986
"Velez Sarsfield"	0.119088
"Olympiakos Piraeus"	0.118845
Rusedski	0.117845
Capriati	0.117473
Moya	0.116923
"Athletic Bilbao"	0.115796
"Spartak Moscow"	0.1157
Damm	0.115157
"Le Defi Francais"	0.114323
Kafelnikov	0.112995
Metz	0.112851
"Mia Audina"	0.112807
Spadea	0.112245
Prinosil	0.111886
Hendrawan	0.111012
Meligeni	0.110028
"Heryanto Arbi"	0.109901
"Bradford City"	0.109062
"Wang Chen"	0.108776
"Boca Juniors"	0.107967
"Coventry City"	0.107688
"Schalke @@"	0.107419
"VfB Stuttgart"	0.107372
"AEK Athens"	0.106684
Penarol	0.106563
"Chen Gang"	0.105961
"Christine Arron"	0.105753
"American Pete Sampras"	0.105597
"Peter Gade Christensen"	0.105545
"Van Roost"	0.105181
Mantilla	0.10513
"Chen Jing"	0.105002
"Paul Johnson"	0.104563
"Rashid Sidek"	0.10432
"Joko Suprianto"	0.10426
Krajicek	0.10411
"Camilla Martin"	0.10357
"Jimmy Connors"	0.103372
Benfica	0.103154
"Briton Greg Rusedski"	0.102837
Lapentti	0.101881
"Li Ju"	0.101839
Gambill	0.101773
Limoges	0.101494
"Chicago Fire"	0.101019
"Bjorn Borg"	0.100932
"American Lindsay Davenport"	0.10086
Besiktas	0.100791
Dosedel	0.100591
"Xia Xuanze"	0.100152
))
("Arnaud Di Pasquale" (desc 1155.35) (sims
"Sarah Pitkowski"	0.539805
"Arnaud Clement"	0.522664
"Nathalie Dechy"	0.522645
"Jerome Golmard"	0.477236
"Fabrice Santoro"	0.450754
"Nicolas Escude"	0.446197
"Albert Portas"	0.444124
"Anne-Gaelle Sidot"	0.432393
"Sebastien Grosjean"	0.414797
"Magui Serna"	0.411482
"Arnaud Boetsch"	0.410585
"Younes El Aynaoui"	0.398994
"Asa Carlsson"	0.395671
"Guillaume Raoux"	0.389208
"Marcelo Filippini"	0.386891
"Franco Squillari"	0.38184
"Adrian Voinea"	0.372475
"Anne Kremer"	0.367202
"Mariano Zabaleta"	0.364344
"Ramon Delgado"	0.363277
"Juan Antonio Marin"	0.362975
"Julie Halard-Decugis"	0.362565
"Alexandra Fusai"	0.358043
"Andreas Vinciguerra"	0.353256
"Richard Fromberg"	0.349472
"Jean-Philippe Gatien"	0.342335
"Magdalena Maleeva"	0.341094
"Christian Ruud"	0.34051
"Mariano Puerta"	0.334428
"Amelie Mauresmo"	0.329931
"Tatiana Panova"	0.329707
"Rainer Schuttler"	0.329015
"Elena Dementieva"	0.323392
"Joannette Kruger"	0.323052
"Vincent Spadea"	0.322422
"Florencia Labat"	0.321712
"Roger Federer"	0.321437
"Catalina Cristea"	0.32134
"Tara Snyder"	0.319673
"Guy Forget"	0.319533
"Sandrine Testud"	0.317849
"Jeff Tarango"	0.313294
"Sargis Sargsian"	0.312763
"Neville Godwin"	0.312612
"Kim Clijsters"	0.312151
"Silvia Farina"	0.311361
"Xavier Malisse"	0.309758
"Ruxandra Dragomir"	0.306238
"Hernan Gumy"	0.304405
"Sabine Appelmans"	0.304002
"Amy Frazier"	0.301182
"Sjeng Schalken"	0.300177
"Sebastien Lareau"	0.299749
"Cara Black"	0.29886
"Judith Wiesner"	0.29864
"Jonathan Stark"	0.293178
"Andrei Pavel"	0.291444
"Naoko Sawamatsu"	0.291301
"Galo Blanco"	0.288613
"Barbara Rittner"	0.287794
"Kenneth Carlsen"	0.287283
"Karim Alami"	0.285221
"Julian Alonso"	0.284708
"Paola Suarez"	0.284295
"Javier Sanchez"	0.284273
"Elena Likhovtseva"	0.283717
"Andrea Gaudenzi"	0.281581
"Fernando Meligeni"	0.281381
"Steve Campbell"	0.281181
"Nicole Pratt"	0.280557
"Els Callens"	0.280518
"Sergi Bruguera"	0.278073
"Andrew Ilie"	0.277412
"Grant Stafford"	0.276906
"Carlos Costa"	0.276838
"Francisco Clavet"	0.274932
"Vince Spadea"	0.274512
"David Prinosil"	0.274011
"Alberto Berasategui"	0.27361
"Magnus Gustafsson"	0.273419
"Tamarine Tanasugarn"	0.272852
"Juan Carlos Ferrero"	0.272788
"Kimberly Po"	0.27265
"Miriam Oremans"	0.272292
"Hicham Arazi"	0.270179
"Gianluca Pozzi"	0.269615
"Kristie Boogert"	0.26837
"Renzo Furlan"	0.266414
"Olga Barabanschikova"	0.266282
"Natasha Zvereva"	0.265221
"Yayuk Basuki"	0.264644
"Corina Morariu"	0.262732
"Jan-Michael Gambill"	0.262151
"Jason Stoltenberg"	0.261312
"Davide Sanguinetti"	0.259561
"Thomas Johansson"	0.258716
"Marc Rosset"	0.255703
"Max Mirnyi"	0.255478
"Nathalie Tauziat"	0.254969
"Filip Dewulf"	0.253984
"Mikael Tillstrom"	0.253247
"Michael Tebbutt"	0.252327
"Paul Goldstein"	0.25219
"Lisa Raymond"	0.251291
"Chris Woodruff"	0.250145
"Marcos Ondruska"	0.249993
"Nicolas Lapentti"	0.249439
"Olympique Marseille"	0.248681
"Chanda Rubin"	0.248173
"Cedric Pioline"	0.247218
"Mirjana Lucic"	0.247148
"Kveta Hrdlickova"	0.246682
"Barbara Paulus"	0.245537
"John Van Lottum"	0.245358
"Tommy Haas"	0.245335
"Scott Draper"	0.244686
"Ai Sugiyama"	0.244228
"Justin Gimelstob"	0.244067
"Marat Safin"	0.242911
"Richey Reneberg"	0.242787
"Andres Gomez"	0.242568
"Mark Knowles"	0.241188
"Olivier Delaitre"	0.240747
"Brett Steven"	0.240508
"Daniel Nestor"	0.240332
"Andrei Medvedev"	0.237593
"Jennifer Capriati"	0.236843
"Mary Pierce"	0.236597
"Leander Paes"	0.236038
"Todd Woodbridge"	0.235231
"Paul Haarhuis"	0.235189
"Irina Spirlea"	0.230692
"Wayne Arthurs"	0.229797
"Mary Joe Fernandez"	0.225944
"Patty Schnyder"	0.225014
"Felix Mantilla"	0.223798
"Iva Majoli"	0.223722
"Rita Grande"	0.220822
"Alex O'Brien"	0.220233
Swardt	0.218522
"Dominique Van Roost"	0.217176
"Alberto Costa"	0.216725
"Barbara Schwartz"	0.216614
"Byron Black"	0.216399
"Nicolas Kiefer"	0.215857
"Jelena Dokic"	0.21514
"Conchita Martinez"	0.214872
"MaliVai Washington"	0.213675
"Brenda Schultz-McCarthy"	0.213495
"Karina Habsudova"	0.213205
"Magnus Norman"	0.211399
"Magnus Larsson"	0.210906
"Albert Costa"	0.210558
"Janet Lee"	0.210025
"Wayne Black"	0.2089
"Anke Huber"	0.206981
"Bohdan Ulihrach"	0.206346
"Rika Hiraki"	0.205953
"Slava Dosedel"	0.204129
"Henrieta Nagyova"	0.203903
"Jiri Novak"	0.202443
"Li Fang"	0.202102
"Daniel Vacek"	0.201479
"Barbara Schett"	0.200611
"Mark Woodforde"	0.200473
"Michael Chang"	0.199714
"Nicklas Kulti"	0.199582
"Jonas Bjorkman"	0.198925
"Dennis van Scheppingen"	0.198163
"Lori McNeil"	0.197988
"Wayne Ferreira"	0.197301
"Alexandra Stevenson"	0.194719
"Mats Wilander"	0.193616
"Kimiko Date"	0.193176
Bruguera	0.19296
"Thomas Muster"	0.19121
"Mahesh Bhupathi"	0.190976
"Amanda Coetzer"	0.190546
Kroslak	0.190457
"Thomas Enqvist"	0.190326
"Dominik Hrbaty"	0.189381
"Mark Philippoussis"	0.188319
"Peter Rasmussen"	0.187379
Stoltenberg	0.187125
Berasategui	0.186523
"Denisa Chladkova"	0.185876
"Pat Rafter"	0.185733
"Slavia Prague"	0.18431
"Adriana Gersi"	0.184107
"Didier Auriol"	0.182988
"Arantxa Sanchez Vicario"	0.182682
"Todd Martin"	0.181832
"Carlos Moya"	0.181675
"Australian Mark Philippoussis"	0.181367
"Jim Courier"	0.180923
"Arantxa Sanchez-Vicario"	0.17965
"Richard Krajicek"	0.179439
"Martin Damm"	0.178713
"Gustavo Kuerten"	0.178417
"Michael Stich"	0.178315
Siemerink	0.178078
"Christine Arron"	0.177776
Nacional	0.175881
"Karol Kucera"	0.175562
"Stefan Edberg"	0.174202
Dragomir	0.170377
Auxerre	0.170237
Bastia	0.169831
Halard-Decugis	0.168527
"Helena Sukova"	0.168295
Rennes	0.168099
"Partizan Belgrade"	0.167522
"Petr Korda"	0.167325
"Sandon Stolle"	0.165663
"Tim Henman"	0.164648
"American Todd Martin"	0.16423
Zamalek	0.163508
"Wang Shi-Ting"	0.162654
Schalken	0.161902
"Paris St Germain"	0.160004
"Gong Zhichao"	0.159375
"Goran Ivanisevic"	0.159319
"Boris Becker"	0.157614
"Alex Corretja"	0.157029
"Dai Yun"	0.156508
"Ji Xinpeng"	0.156074
"Greg Rusedski"	0.151926
"Diego Nargiso"	0.151533
"Serena Williams"	0.151162
"Lleyton Hewitt"	0.148774
Haarhuis	0.14704
"Anna Kournikova"	0.146199
Rosenborg	0.145922
"Vladimir Samsonov"	0.144329
Zvereva	0.143245
"Colo Colo"	0.143244
"Marcelo Rios"	0.142671
Testud	0.141373
"Peter Nicol"	0.140633
"Wang Liqin"	0.140083
Mauresmo	0.138942
Enqvist	0.138906
Sanchez-Vicario	0.138468
Kuerten	0.138447
Kucera	0.137044
"Olympiakos Piraeus"	0.136865
Dosedel	0.136727
Tarango	0.135751
"Bjorn Borg"	0.135505
"Rodney Eyles"	0.13545
"Patrick Rafter"	0.135292
"Chen Gang"	0.135287
Nicol	0.13481
Metz	0.134538
"Ma Lin"	0.134441
Brondby	0.133677
"Jana Novotna"	0.133506
"Phenix City"	0.133137
"American Chanda Rubin"	0.132318
"Larisa Neiland"	0.132199
Olimpia	0.131793
"American Michael Chang"	0.131633
"Sandra Kleinova"	0.13036
"Yevgeny Kafelnikov"	0.130188
"VfB Stuttgart"	0.129463
"Joko Suprianto"	0.129111
"Laurent Jalabert"	0.128028
Clavet	0.127707
Independiente	0.127702
"Ye Zhaoying"	0.12634
Capriati	0.126319
Anderlecht	0.126014
"Wang Nan"	0.125973
"River Plate"	0.125805
"Katarina Studenikova"	0.125643
"Marie-Jose Perec"	0.12534
"Camilla Martin"	0.124462
"Steffi Graf"	0.123933
Penarol	0.123875
"Laurent Brochard"	0.123851
Taufik	0.123655
Habsudova	0.123564
"Boca Juniors"	0.123299
"Jansher Khan"	0.12313
Besiktas	0.123103
"Slovak Republic"	0.122541
Gremio	0.12253
"Fung Permadi"	0.122527
"Athletic Bilbao"	0.122265
"Monica Seles"	0.121988
Corretja	0.121966
Bjorkman	0.121778
"Paul Tergat"	0.121765
"Van Roost"	0.121553
"Zoran Primorac"	0.121529
"Jimmy Connors"	0.121392
"Jubilo Iwata"	0.120886
"Velez Sarsfield"	0.120848
"Celta Vigo"	0.120752
"Gong Ruina"	0.120696
"American Pete Sampras"	0.120395
"Lindsay Davenport"	0.119028
"Peter Gade Christensen"	0.118958
"Werder Bremen"	0.118083
Puerta	0.11774
"Venus Williams"	0.117629
"Wang Chen"	0.117588
"Kong Linghui"	0.117549
Majoli	0.116937
Ulihrach	0.116711
"Garry Kasparov"	0.116537
Edberg	0.115391
"Jacco Eltingh"	0.115194
Nantes	0.115092
"Li Ju"	0.114851
Raoux	0.114842
Cruzeiro	0.11426
Benfica	0.113655
"Spartak Moscow"	0.112771
"Seibu Lions"	0.112677
"Chicago Fire"	0.112298
"South African Amanda Coetzer"	0.112066
Hendrawan	0.111198
Galatasaray	0.111005
"Richard Virenque"	0.110755
"Mia Audina"	0.110666
"Maria Butyrskaya"	0.110184
Sugiyama	0.110109
Limoges	0.109932
Montpellier	0.109896
"Deon Hemmings"	0.109776
"Chen Jing"	0.109756
"Schalke @@"	0.109194
"AEK Athens"	0.109015
Atalanta	0.108885
Haas	0.108761
Palmeiras	0.108559
"Ge Fei"	0.108361
"Zhang Ning"	0.108305
Damm	0.10829
"Susi Susanti"	0.107631
"Sturm Graz"	0.106738
"Kinder Bologna"	0.106683
Sidot	0.106496
"Jorgen Persson"	0.106493
"Ong Ewe Hock"	0.10645
"Johnny Tapia"	0.106245
Panathinaikos	0.105381
"Fighting Irish"	0.104997
Moya	0.104715
Susanti	0.104692
"Borussia Dortmund"	0.104476
Frenchwoman	0.104173
"Xia Xuanze"	0.104062
Heerenveen	0.103816
Kafelnikov	0.103573
Korda	0.103164
Schnyder	0.102703
"Liu Guoliang"	0.102506
Gustafsson	0.102459
Prinosil	0.102238
Pioline	0.102163
Bere	0.101995
"Miguel Indurain"	0.10191
Necaxa	0.101761
Fenerbahce	0.101534
"Andre Agassi"	0.101482
"Budi Santoso"	0.101329
Pavano	0.100256
Likhovtseva	0.100238
"Kostya Tszyu"	0.100164
))
(Arnault (desc 912.586) (sims
"Total Fina"	0.100752
"Pacific Century"	0.0929745
"Bausch &AMP; Lomb"	0.0928275
Perelman	0.09011
"Bank of Scotland"	0.0882626
Esser	0.0854738
Aegon	0.084939
Icahn	0.0834144
McCaw	0.081843
NiSource	0.0815461
Bernabe	0.0798599
Berlusconi	0.079102
Wolfson	0.078615
"Banque Nationale"	0.0778196
Genzyme	0.0776863
Totalfina	0.077126
Barad	0.0767995
Lindner	0.0766403
Spyridon	0.0764259
Murdoch	0.0755152
Kincaid	0.0753261
Litton	0.0752768
"Royal Bank"	0.0742364
Eisenman	0.0734523
LVMH	0.0733976
Eisner	0.0730717
Alioto	0.0723702
Craxi	0.0722677
Tharp	0.0720233
"Allied Signal"	0.071659
Protas	0.0704772
IAI	0.06907
Aeromexico	0.0685838
Hamid	0.0678271
"Cable &AMP; Wireless"	0.0677411
Leedham	0.0673545
ENTERGY	0.0670162
Harris-Lewis	0.0670158
Newhouse	0.0669494
Gaynor	0.0661087
WPP	0.0660724
Condit	0.0654367
Bakaly	0.0651234
Vulcan	0.0642764
"Warren Buffett"	0.0638868
"Air Canada"	0.0637778
Hynes	0.0636551
Zarb	0.0634661
Buffett	0.0634299
Windom	0.0633474
Idris	0.0627685
Milstein	0.0623565
Warshaw	0.0617996
Konka	0.0616799
Ahold	0.0616525
Gusinsky	0.0615577
AFA	0.0613145
Generali	0.0610548
AlliedSignal	0.0610449
Gutman	0.0606886
Heinz	0.0603143
RBA	0.0601783
GRUNFELD	0.0598328
Farley	0.0598003
REPSOL	0.0596453
UUP	0.0595869
IDT	0.0594832
Kornberg	0.058717
"Kenyan Government"	0.0583129
"American Home"	0.0582497
Ohlmeyer	0.0580921
"BP Amoco"	0.0580664
Taubman	0.0579711
Shinn	0.0578688
Giacchetto	0.0575675
Oneidas	0.0575393
Kennard	0.0574929
Olbermann	0.05719
Kesri	0.0571765
Ramseys	0.0571213
Scientific-Atlanta	0.0569979
Gritz	0.056982
AMR	0.0566045
Kurth	0.0565054
"Southern Co."	0.056351
Hirschfeld	0.0559777
Alcoa	0.0557811
Cablevision	0.0557107
"Du Pont"	0.0554076
Rothenberg	0.055387
"Cindy McCain"	0.0550297
"Dan Morales"	0.0549422
Mondavi	0.0549393
AMP	0.0548632
Telmex	0.0546892
Scalfaro	0.0545761
Marineau	0.0545538
Rhee	0.0542885
"Ethics Commission"	0.0540247
Terra	0.0539908
"Deutsche Telekom"	0.0539516
Noriega	0.05395
SBC	0.0538926
"Phelps Dodge"	0.0538474
Cowher	0.0538338
Copeland	0.0538076
"Port Authority"	0.0536816
Comcast	0.0535001
Arens	0.0534425
Guei	0.053324
Telekom	0.053132
SEABROOK	0.0531116
"Perez Balladares"	0.0529774
Yadav	0.0527085
Lind	0.0526379
Overnite	0.0525721
Hamlin	0.0525291
Hiddink	0.0525111
ACLU	0.0523041
Holley	0.052242
Isner	0.0521809
Deutsche	0.0521001
Bosman	0.0520775
FSA	0.05205
"Mitsubishi Motors"	0.0517724
Fraga	0.0515253
HSBC	0.0515225
DERSHOWITZ	0.0515217
"Ameritech Corp."	0.0513403
"Park Place"	0.05132
Akayesu	0.0512201
"British Telecom"	0.051114
Dems	0.0511138
Nacchio	0.0510281
Ruthardt	0.0509847
Collymore	0.0508889
Neel	0.0508497
Soros	0.0508411
Kearin	0.0507781
"Tribune Co."	0.0505387
Hilton	0.050409
CMGI	0.0501137
RIAA	0.0500202
"Northern Telecom"	0.0499822
TELLABS	0.049866
Bestfoods	0.0497978
Atler	0.0497579
Daimler	0.0497104
"Sara Lee"	0.0496844
Gilead	0.0496809
Vodafone	0.0495842
Ovitz	0.0495829
Aliev	0.0494634
Lockheed	0.04941
Chris-Craft	0.0493334
Selznick	0.0492481
"Con Ed"	0.0492202
reverend	0.0489722
ITT	0.0489516
SPLA	0.0489109
"Washington Mutual"	0.0488873
Granic	0.0488157
Omnicom	0.048811
BORAS	0.0488036
Hendry	0.0486986
Kohler	0.0486976
Symington	0.0486404
Dolan	0.0486349
"De Klerk"	0.0486219
"Vodafone AirTouch"	0.0486054
Whitsitt	0.0485555
NatWest	0.0485136
Liggett	0.0484773
Elf	0.0483991
Schmalensee	0.0483109
BASF	0.0482167
Ansett	0.0481497
"Singapore Telecom"	0.0480911
om	0.0480529
Polgar	0.0480264
Beatty	0.047988
Peretz	0.0479817
"American Home Products"	0.0479409
Rea	0.0479358
Postel	0.0477291
Ba	0.0476433
Jayalalitha	0.0475694
TRW	0.0475417
Unilever	0.0475074
Rideau	0.0474886
Fuentes	0.0474503
Wiseman	0.047425
"U.S. Administration"	0.0473666
USEC	0.0472629
Teresi	0.0472474
Enron	0.0472419
Baucus	0.0472218
CalPERS	0.0472029
Roski	0.0471912
Sassa	0.0471233
))
(Arnett (desc 2554.09) (sims
"Peter Arnett"	0.268604
"Jack Smith"	0.128767
Babitsky	0.101857
Harrelson	0.0995374
Garza	0.0971462
Druckenmiller	0.0970933
Kasoulides	0.0968834
O'Neil	0.0945094
Kodikian	0.0931687
Keady	0.0925797
Stossel	0.0917543
Neilson	0.0914413
Whitacre	0.0903047
Groscost	0.0885622
Fortier	0.0884198
Hofer	0.0880745
Drury	0.0877763
Camacho	0.0875587
Koop	0.0870987
Murr	0.0870389
Pippig	0.0867328
Bulatovic	0.0854596
Abernathy	0.0852537
Skiles	0.0845803
Yastrzhembsky	0.0843329
Naumann	0.0841544
Berenson	0.0840489
Grachev	0.0836558
Schaeuble	0.0825516
Podesta	0.0813588
Shulman	0.0813365
Mikhailov	0.0804961
Collymore	0.0801835
Passarella	0.0800971
Ruehe	0.0794749
Hersh	0.0793185
Barbour	0.0791837
Rodionov	0.079176
Kornberg	0.0791259
Troussier	0.0790591
Azad	0.0790324
Rifkind	0.0789718
Jenoff	0.0777605
Gullit	0.0776312
Ciampi	0.0770375
Beckenbauer	0.0767914
Valenzuela	0.0766639
Ponciano	0.076642
Stayner	0.07641
Napolitano	0.076104
Ozawa	0.0756134
D'Amico	0.0750226
Ritter	0.0749992
Merkel	0.0749271
Imperatori	0.0738161
Gutman	0.0736585
Faulder	0.073254
Sheinbein	0.0726148
Meissner	0.0725989
"De Soto"	0.0724091
"Christiane Amanpour"	0.0723623
"Di Canio"	0.0723486
Ikeda	0.072259
Keenan	0.0721386
"Andrei Babitsky"	0.071993
Prewitt	0.0719882
Hoddle	0.0718993
Wannstedt	0.0717264
Rosenthal	0.0715109
Lazarenko	0.0714647
Alderson	0.071451
Asprilla	0.0713805
Sheehy	0.0711214
Kasyanov	0.0708401
"David Hale"	0.0706277
Caddell	0.0704865
Maldini	0.0704601
Venables	0.0703724
Harris-Lewis	0.0699665
Polynice	0.0699058
Reimer	0.0697559
Talebi	0.0694994
Bradshaw	0.0693187
Ivester	0.0689138
Faget	0.0688906
SFC	0.0686628
Auriemma	0.0682042
Fernandes	0.0681679
Jayasinghe	0.0679532
Tomlinson	0.0677702
Livoti	0.0677249
Manley	0.0676646
Echegaray	0.067608
Brittan	0.0675098
Aventajado	0.0674739
Katzenberg	0.0673418
Swango	0.0672234
Jauron	0.0671774
Strahan	0.0671243
Kassirer	0.0668559
Guterres	0.0668453
Skuratov	0.0668122
booker	0.0667542
Myhrvold	0.0664331
Abdur-Rahim	0.0662609
Wolfensohn	0.0662086
Hodler	0.0661791
Joklik	0.0660247
Swenson	0.0659461
Cassell	0.0658269
Mattysse	0.0657287
Perec	0.0656281
Ikimi	0.0656
Seward	0.0655546
Moratinos	0.0654647
Monson	0.0654602
Mayweather	0.0654373
Gilman	0.0651996
Harrick	0.06518
"Maturino Resendiz"	0.0651633
Capano	0.0651578
"Raul Salinas"	0.0650801
Heston	0.0649457
McDuffie	0.0648974
Advani	0.0647887
"Al Fayed"	0.0644765
Diouf	0.0643796
Hamid	0.0642982
Kushner	0.0641594
Cem	0.0641524
"de Charette"	0.0641241
Milutinovic	0.0639983
Kurth	0.0637106
Komura	0.0636624
Marinovich	0.0635484
Shevardnadze	0.0634997
Hiett	0.0634814
McKinnon	0.0634725
Beltran	0.0634546
Vasquez	0.0632374
Robison	0.0632109
Duran	0.063183
McGinn	0.0631098
Gascoigne	0.063096
Caldera	0.0630324
Zambrano	0.0628199
Sithole	0.0628051
Noriega	0.0628013
Shayler	0.0627314
Cusack	0.062482
Fraga	0.0624711
Yazdi	0.0623407
BURNHAM	0.0622555
Sherrill	0.0621728
Conte	0.062127
Insulza	0.0620582
Sponeck	0.0618386
Bakaly	0.0618386
Neulander	0.0617222
Neuheisel	0.0616579
Finkel	0.0615519
Sampson	0.0615129
nance	0.0614728
Sharma	0.0614696
McMullen	0.0614633
Gangelhoff	0.0614378
Burleigh	0.0613492
Alves	0.0613141
Martorano	0.0613122
Havelange	0.0613025
Ratner	0.0612445
Hagi	0.0612438
Siazon	0.0611822
McAuliffe	0.0611614
Irvan	0.0610901
Odeh	0.061033
Shriver	0.0609857
Schweitzer	0.0607675
Holl	0.0606933
Alatas	0.0606583
Gallagher	0.0606369
Sahnoun	0.0606219
Cao	0.0604515
Ruthardt	0.0603468
Meguid	0.0602961
Kaczynski	0.0602714
"Fox News Channel"	0.0602006
Eizenstat	0.0601582
Kaplan	0.0601057
Einhorn	0.0600599
Karbaschi	0.0600446
Jia	0.0599421
Ben-Ami	0.0599077
looper	0.0597701
Atwood	0.0597389
Coles	0.0596966
Barrionuevo	0.0596874
Coelho	0.059611
Sebaggala	0.059559
Cochran	0.0595316
))
(Arnold (desc 8653.18) (sims
Bruce	0.0891864
Mullen	0.0855369
Marcus	0.0797883
Newman	0.0797293
Walter	0.0789042
Weil	0.0779752
Dreifort	0.0775515
Maynard	0.0762949
Brock	0.0759915
Oliver	0.0754931
Carl	0.0748744
Sobel	0.0746994
Henry	0.0745154
Rosenthal	0.0742553
Garrett	0.0740986
Sullivan	0.0736418
Jason	0.0735025
Perez	0.0733363
Cooper	0.0732416
Torres	0.0731156
Gooden	0.0731012
Terry	0.0730693
Schourek	0.0729166
O'Connell	0.0723388
Ramon	0.0722018
Gorman	0.0713045
Stephenson	0.0712492
Gary	0.0711357
Mahoney	0.0709734
Saberhagen	0.070652
Pfeiffer	0.0705949
Schwartz	0.0705913
Kurtz	0.0705057
Goldberg	0.0705012
Samuel	0.0702055
Macdonald	0.0701546
Rick	0.0701316
Forrest	0.0698343
Padilla	0.0697198
Steve	0.0696802
Ortiz	0.0696449
Anthony	0.0696237
Abbott	0.0692717
Larry	0.0692542
Donohue	0.0686212
Bobby	0.0683492
Clement	0.0682985
Roberson	0.0682676
Nicholas	0.0682477
Jaffe	0.0681851
Simon	0.0681734
Levine	0.0680828
Ono	0.068039
McDonald	0.0679648
Wolff	0.067955
Gardner	0.0676964
Hawke	0.0674827
Ingram	0.0674445
Manuel	0.0673453
Casey	0.0670147
Cameron	0.0670131
Hickman	0.066899
Hagen	0.0668832
Brian	0.0667501
Kahn	0.0666397
McCormack	0.0666162
Yates	0.066579
Diaz	0.0665498
Kirk	0.0665186
Zuckerman	0.0663881
Carlos	0.0663634
Gregory	0.066264
Kirby	0.0662529
Meissner	0.0662213
Peter	0.0661923
Dotel	0.0661738
Hardy	0.0661738
Gaston	0.0661396
Anderson	0.0659444
drake	0.0657299
Steven	0.0657258
Holmes	0.065525
Vogel	0.0654669
Michael	0.0654204
Jim	0.0653263
Schmidt	0.065291
Hamlin	0.0650914
Fernandez	0.0649766
Roger	0.0649221
Grossman	0.0648363
Charles	0.0648196
Pena	0.0646546
Gerald	0.0645473
Chris	0.064507
Randy	0.0645042
Doug	0.0645033
Mucha	0.0644795
Matthews	0.0644325
Richard	0.0643689
Washburn	0.0643657
Harrington	0.0643348
Sampson	0.064207
Jeff	0.0641876
Hahn	0.0641443
BENSON	0.0641137
Reynoso	0.0641089
Hewitt	0.0639574
Burkett	0.0638701
Walton	0.063843
Daniel	0.0638274
Hernandez	0.0637982
Dion	0.0637737
Smoltz	0.0637631
Parker	0.0636275
Swenson	0.0636203
weaver	0.0636198
Levin	0.0634925
Joe	0.0634825
Snyder	0.0634622
Diggs	0.0633973
Gagne	0.0632993
Berenson	0.0632523
Evans	0.0631175
Leiter	0.063113
Ferguson	0.0631075
McCartney	0.0630928
Carlson	0.0629312
McIntyre	0.0627702
harrison	0.0627358
Barnett	0.0627014
Moreno	0.0626331
Checo	0.0625397
Candiotti	0.0625056
McGill	0.0623986
John	0.0623919
Rowe	0.0623861
Olson	0.0623538
Woodard	0.0623189
Holtz	0.0623143
Yarnall	0.0623034
Hoffman	0.0622715
Blake	0.0622525
Wiggins	0.0621946
Ricart	0.0621675
Tilberis	0.0621307
Ince	0.0620196
Flores	0.062008
Baldwin	0.061986
Holloway	0.0619733
Kaplan	0.0619247
Fassero	0.0619224
McLachlan	0.0618632
Gibson	0.0618627
James	0.0618569
Percival	0.0618508
Simons	0.0617986
Zito	0.0617532
Dixon	0.0617519
Wohlers	0.0617279
McLaughlin	0.0616392
Henson	0.061576
Thompson	0.0615556
Pearson	0.061528
Mitchell	0.0614358
Joel	0.0613263
Todd	0.0613088
Rogers	0.061275
Andrew	0.0612711
Tommy	0.0612119
Albert	0.0611663
Myers	0.0611578
Valdes	0.0611448
Ritchie	0.061048
Paul	0.0610066
Rendell	0.0609553
Saunders	0.0609498
Gifford	0.0608656
Roy	0.0608132
tom	0.0607898
David	0.0607855
Bowden	0.0606593
Jimmy	0.0606474
McKinnon	0.0606351
Zimmerman	0.060621
Gillespie	0.0605809
William	0.060564
Barton	0.0605075
Stacy	0.0604666
DiCicco	0.0604339
Tim	0.0603854
Friedman	0.0603783
Raymond	0.0602786
Ferraro	0.0602737
Everett	0.0602363
Patrick	0.0602343
Guzman	0.0602281
Stottlemyre	0.0602188
Jeb	0.0601812
Keenan	0.0601366
Eric	0.0600555
))
("Arnold Communications" (desc 1281.08) (sims
"Saatchi &AMP; Saatchi"	0.277109
"BBDO New York"	0.2296
"Fallon McElligott"	0.181561
BBDO	0.179578
"Mather Worldwide"	0.158551
McCann-Erickson	0.146409
Mullen	0.135394
"Omnicom Group"	0.116437
"Catholic Charities"	0.0998214
Instinet	0.0968805
"CBS Corp."	0.0941568
"Learning Co."	0.0939431
"Digital Equipment Corp."	0.0905098
"John F. Kennedy Library"	0.0900425
"Beth Israel Deaconess Medical Center"	0.0847088
"International Finance Corporation"	0.0822456
WGBH	0.0819945
Telefonica	0.0816159
"Southwestern Bell"	0.0802661
"U.S. Trust"	0.0786257
"Hughes Electronics"	0.0785431
"GTE Corp."	0.0771329
"Softbank Corp."	0.0752949
"BellSouth Corp."	0.074769
Ogilvy	0.074486
Corp.	0.072471
"Fleet Center"	0.072231
"Kraft Foods"	0.0721971
Interpublic	0.0703694
"Logan International Airport"	0.0700934
"Times Mirror Co."	0.0699867
"Federated Department Stores"	0.0695366
"Delphi Automotive Systems"	0.0693359
"Miramax Films"	0.0689593
"Putnam Investments"	0.0689404
"Dana-Farber Cancer Institute"	0.0688803
"Fidelity Investments"	0.068465
"Bankers Trust Corp."	0.0670579
Publicis	0.0668544
Orangina	0.0662421
"US District Court"	0.0660206
"Pratt &AMP; Whitney"	0.0657895
Petrofina	0.0656182
"Liberty Media"	0.0653351
Omnicom	0.0652792
"Conde Nast"	0.0650394
"Linus Torvalds"	0.0638401
"McDonnell Douglas"	0.0633146
"Home Shopping Network"	0.0628659
KPMG	0.0622245
"ad agency"	0.0621826
"Logan Airport"	0.0617681
"Pepsi Cola"	0.0615048
"Learning Company"	0.0614689
"Judah Folkman"	0.06143
Medtronic	0.060773
"Salomon Smith Barney"	0.0600816
Sepracor	0.0600016
"Longwood Cricket Club"	0.0593382
"GE Capital"	0.0588482
"Suffolk Downs"	0.0587199
"Donaldson, Lufkin &AMP; Jenrette"	0.0580361
"Tufts University"	0.0576092
"Yankee Group"	0.0575922
"Aaron Sorkin"	0.0569475
"McKinsey &AMP; Co."	0.0568027
Xoom.com	0.0567857
"Republican Guard"	0.0559683
"Eileen Collins"	0.0559202
"Sprint PCS"	0.0556747
"Symphony Hall"	0.0555217
DirecTV	0.0551465
"Andersen Consulting"	0.0548497
"Institute of Medicine"	0.0547049
"Tele-Communications Inc."	0.0545724
"Massachusetts General Hospital"	0.0545455
"National Labor Relations Board"	0.0543924
"Local @@"	0.0542109
"Forrester Research"	0.0539856
BankAmerica	0.0536273
"Pipeline Safety"	0.0532918
"Adobe Systems"	0.0532346
"Pacific Bell"	0.0531128
NationsBank	0.0528603
"EMC Corp."	0.0528156
"Robertson Stephens"	0.0527762
AMEX	0.0524592
"Hambrecht &AMP; Quist"	0.0522407
"Time Inc."	0.0519438
Kai-shek	0.0518614
"Simon &AMP; Schuster"	0.0518486
"Hang Seng Bank"	0.0512921
"Time Warner Inc."	0.051243
Aquarius	0.0511336
"UAL Corp."	0.051112
Snapple	0.0507279
Genzyme	0.0503983
"Federal Reserve Bank"	0.0501707
"Fleet Financial Group"	0.0501304
Bloomingdale's	0.0500257
"Atlantic Richfield Co."	0.0499049
"Neiman Marcus"	0.0498544
"Armed Islamic Group"	0.0491685
"Federal Highway Administration"	0.0488535
Dataquest	0.0487586
"Prudential Insurance Co."	0.0486659
"Health Care Financing Administration"	0.0484778
"Brown &AMP; Williamson Tobacco Corp."	0.048425
"Goldman, Sachs &AMP; Co."	0.0483608
"Merrill Lynch &AMP; Co."	0.0481489
Immunex	0.0480265
"U.N. World Food Program"	0.0479376
"Dow Jones &AMP; Co."	0.0479109
"National Electoral Commission of Nigeria"	0.0477591
"Lockheed Martin Corp."	0.0474478
"Global Crossing Ltd."	0.0473225
hypermarket	0.0473023
ZIFF-DAVIS	0.0470927
Silverstein	0.0469406
"American Psychological Association"	0.0469212
"Cadbury Schweppes"	0.046907
UAL	0.0468675
"Christopher Smith"	0.0466793
"New York City Police Department"	0.0466443
PolyGram	0.0464755
"Niagara Mohawk"	0.0458531
"U.N. High Commissioner for Refugees"	0.0457985
Daimler-Benz	0.0457272
"Atlantic Richfield"	0.045664
Kamajors	0.0456541
"equity interest"	0.0455587
"Bharatiya Janata Party"	0.0453325
"Bankers Trust"	0.0452447
"House Majority Whip Tom DeLay"	0.0448597
Pillsbury	0.0447095
"Viacom Inc."	0.0447
"Warner Books"	0.044614
"Diamond Multimedia"	0.0445761
"General Electric Co."	0.0442855
"Uganda People's Defense Forces"	0.0440689
"Gomez Advisors"	0.0440587
"Blue Cross"	0.0439977
"Mattel Inc."	0.0438864
"east northeast"	0.0436904
"First USA"	0.0436556
"Brown &AMP; Williamson"	0.0435309
"MCI Communications Corp."	0.0433515
Salomon	0.043296
"Credit Suisse First Boston"	0.0432502
Gilmore	0.0430526
"Thomson Multimedia"	0.0430013
rainout	0.0425186
"Mobil Corp."	0.0424585
Mayweather	0.0423556
"Nortel Networks"	0.0419873
"Arthur Andersen"	0.0419704
"Hearst Magazines"	0.0415788
"BankAmerica Corp."	0.0415406
Uunet	0.0414944
"Indonesian Armed Forces"	0.0414385
"Bell Atlantic Corp."	0.0413476
ENTREMED	0.0413136
"True North"	0.0412995
McKesson	0.0410593
Embraer	0.0409283
"Johnson &AMP; Johnson"	0.0408595
"MediaOne Group"	0.0408385
Jacke	0.0408259
"Charles Schwab"	0.0408016
"Exchange Fund"	0.040779
"Cendant Corp."	0.0407654
"BankBoston Corp."	0.0407594
UPDF	0.0405973
"Netscape Communications Corp."	0.0405344
"George Speight"	0.0403332
MI@	0.0402017
Tarango	0.0402012
T-cells	0.0400844
"Y&AMP;R"	0.0400492
))
("Arnold Palmer" (desc 8834.8) (sims
"Gary Player"	0.302637
"Jack Nicklaus"	0.27841
"Lee Trevino"	0.274194
"Sam Snead"	0.26579
"Ben Hogan"	0.255393
"Gene Sarazen"	0.234452
"Raymond Floyd"	0.22345
"Byron Nelson"	0.221592
"Tom Watson"	0.216912
"Hale Irwin"	0.182799
"Johnny Miller"	0.180896
"Greg Norman"	0.170412
Nicklaus	0.157174
"Dave Stockton"	0.150196
"John Daly"	0.133094
"Bobby Jones"	0.132007
"Jim Colbert"	0.127811
"Nick Faldo"	0.126399
hogan	0.12627
"Corey Pavin"	0.125916
"Tom Kite"	0.122421
"Payne Stewart"	0.121036
"Tiger Woods"	0.118986
"Phil Mickelson"	0.116825
"Mark O'Meara"	0.112758
"David Duval"	0.111977
"Lee Janzen"	0.111973
"Nick Price"	0.110004
"Curtis Strange"	0.109376
"Seve Ballesteros"	0.108518
Palmer	0.108177
"Gil Morgan"	0.108138
"Davis Love III"	0.10762
"Vijay Singh"	0.106373
"Jose Maria Olazabal"	0.100571
"Nancy Lopez"	0.0988225
"Ernie Els"	0.0983469
"Paul Azinger"	0.0955615
"Sergio Garcia"	0.0950921
"Casey Martin"	0.0948655
"Fred Couples"	0.0938069
"Larry Nelson"	0.0935736
"John Cook"	0.0935473
"Martina Navratilova"	0.0926017
Sarazen	0.0903508
"Bernhard Langer"	0.0899344
"Colin Montgomerie"	0.088444
"Lee Westwood"	0.0879699
"Steve Elkington"	0.0857869
"Scott Verplank"	0.0835371
"Justin Leonard"	0.0819741
"Dana Quigley"	0.0806805
"Se Ri Pak"	0.0803249
"Tom Lehman"	0.0802836
"Larry Mize"	0.0794151
"Ben Crenshaw"	0.078981
Duval	0.0775717
"Hal Sutton"	0.0771447
"Fuzzy Zoeller"	0.0752483
O'Meara	0.0747508
"Peter Jacobsen"	0.0710378
"Isao Aoki"	0.0705456
"Jim Furyk"	0.0703878
"Bruce Fleisher"	0.068426
"Matt Kuchar"	0.0681018
Faldo	0.0680949
"Justin Rose"	0.0676071
"Jay Sigel"	0.0668573
"Allen Doyle"	0.0666082
"Craig Stadler"	0.0663934
"Willie Mays"	0.0661026
"Billie Jean King"	0.0655331
"Ted Williams"	0.0654754
Snead	0.0652721
"Tim Herron"	0.0652111
Stewart	0.0651747
"Babe Ruth"	0.0651084
"Annika Sorenstam"	0.0645411
Norman	0.0643176
Woods	0.0638053
"Jesper Parnevik"	0.0637329
Montgomerie	0.0626997
Mickelson	0.0623544
"Stuart Appleby"	0.0618039
"Fred Funk"	0.0612646
Watson	0.0610806
"Jesse Owens"	0.0607127
"Andre Agassi"	0.0603335
"Steve Jones"	0.0600501
"Mark Calcavecchia"	0.0598628
"Dan Marino"	0.0597647
Parnevik	0.0596774
"Michael Jordan"	0.0595291
"Sidney Poitier"	0.0583806
golfer	0.0580156
Garcia	0.0569953
"Bob Tway"	0.0566802
"Jim Brown"	0.0561987
"Bjorn Borg"	0.0561501
"Pete Sampras"	0.0557181
Irwin	0.0555954
"Magic Johnson"	0.0550668
"Joe DiMaggio"	0.0544075
"Steffi Graf"	0.0541892
"Alexander Popov"	0.0540807
"Scott Hoch"	0.0540789
"Alberto Tomba"	0.0536193
"Wilt Chamberlain"	0.0535981
"Mark Brooks"	0.0535838
Webb	0.0534989
Waldner	0.0533523
"Martina Hingis"	0.0529855
"Brian Watts"	0.0529625
"Tito Puente"	0.0529061
"Steve Pate"	0.0526358
"Blaine Wilson"	0.0524926
Kuerten	0.0523499
Kasparov	0.051897
"Laura Davies"	0.0517852
Leonard	0.0511085
"Davis Love"	0.0509651
"Walter Payton"	0.0509627
"HANK KUEHNE"	0.050894
Pele	0.0507953
"Hank Aaron"	0.0507699
"Diego Maradona"	0.0507094
Nelson	0.050633
"Boris Becker"	0.0506149
"Rod Laver"	0.0504061
"Karrie Webb"	0.050223
Colbert	0.0501469
"Miguel Indurain"	0.0499135
"Chris Evert"	0.0498008
"Muhammad Ali"	0.0495983
Ali	0.0495167
"Johan Cruyff"	0.0494382
"Bill Russell"	0.0494122
Borg	0.0493826
Appleby	0.049344
"John McEnroe"	0.0492922
Janzen	0.0492371
Singh	0.0491271
"Wang Junxia"	0.0490306
"Richard Petty"	0.0490022
"Ian Woosnam"	0.0487871
"Olin Browne"	0.0483294
"Bill Cosby"	0.0481709
Sutton	0.0481087
"Jeff Sluman"	0.0479391
"Roger Maris"	0.0478964
"Roy Emerson"	0.0477974
Furyk	0.0475918
"Wayne Gretzky"	0.0474449
"Carl Lewis"	0.0474312
Lehman	0.0473532
Sorenstam	0.0471917
Kwan	0.047151
Ballesteros	0.0470398
"Joe Frazier"	0.0469835
el	0.0468565
Maris	0.0467889
Hoch	0.0467636
Kuehne	0.0466792
"Bob Hope"	0.0466118
"Bob Marley"	0.046603
"Mickey Mantle"	0.0464591
"Steven Spielberg"	0.0463678
"Paul Lawrie"	0.0461272
"Larry Bird"	0.0460425
Gogel	0.0459362
"Jan-Ove Waldner"	0.0458947
Sanchez-Vicario	0.0456894
"Jenny Chuasiriporn"	0.0455601
"Billy Andrade"	0.0450767
"Julio Cesar Chavez"	0.045052
"Billy Mayfair"	0.0449793
"Jackie Joyner-Kersee"	0.0449737
"American Todd Martin"	0.0449103
Deng	0.0448558
Moya	0.0446544
"Hulk Hogan"	0.0446419
Hagi	0.0443421
Inkster	0.0443176
"John Huston"	0.0441264
"Nolan Ryan"	0.0439656
"John Wooden"	0.0436985
McEnroe	0.0436197
Gretzky	0.0435277
"Steve Stricker"	0.0435187
"Juli Inkster"	0.043304
Bjorkman	0.0431946
"Lennox Lewis"	0.0429699
"Craig Parry"	0.0429626
"Franz Beckenbauer"	0.0429018
Olazabal	0.0428852
"Monica Seles"	0.0428788
Pak	0.042857
"A.J Foyt"	0.0428436
Capriati	0.0428189
Kiefer	0.0427759
))
("Arnold Schwarzenegger" (desc 6401.95) (sims
"Harrison Ford"	0.168581
"Demi Moore"	0.16157
"Bruce Willis"	0.15878
"Sylvester Stallone"	0.14959
"Kevin Costner"	0.141884
"Tom Cruise"	0.141386
"Robert Redford"	0.141251
"Leonardo DiCaprio"	0.132941
"Brad Pitt"	0.132805
"John Travolta"	0.131549
Schwarzenegger	0.129738
"Jack Nicholson"	0.129496
"Michael Douglas"	0.128674
"Denzel Washington"	0.126895
"Jackie Chan"	0.120619
"Dustin Hoffman"	0.117491
"Tom Hanks"	0.117427
"Mel Gibson"	0.112706
"Rob Lowe"	0.112608
"Johnny Depp"	0.112115
"Will Smith"	0.111532
"Keanu Reeves"	0.106748
"Marlon Brando"	0.106595
"Ben Affleck"	0.10484
"Christopher Reeve"	0.103421
"Kim Basinger"	0.102104
"Edward Norton"	0.101173
"Michelle Pfeiffer"	0.100975
"Sharon Stone"	0.100957
"Meryl Streep"	0.0998932
"Eddie Murphy"	0.0984227
"John Wayne"	0.0983718
"Matthew Broderick"	0.0979543
"Julia Roberts"	0.0974621
"Tom Selleck"	0.0968009
"Robert DeNiro"	0.0967786
"Meg Ryan"	0.0965819
"Hugh Grant"	0.096553
"Jim Carrey"	0.0956814
"Matt Damon"	0.0949033
"Paul Newman"	0.0942148
"Jeremy Irons"	0.0939948
"Matthew Perry"	0.0938041
"Robert de Niro"	0.0935343
"AL PACINO"	0.0928329
"Richard Gere"	0.0923651
"Pierce Brosnan"	0.091426
"Adam Sandler"	0.0912383
"Nicole Kidman"	0.0907846
"Alec Baldwin"	0.090615
"Samuel L. Jackson"	0.0904586
"Tommy Lee Jones"	0.0879963
"Charlton Heston"	0.087815
"Clint Eastwood"	0.0868237
"Gene Hackman"	0.0863562
"Jack Lemmon"	0.0854956
"George Clooney"	0.0852508
"Russell Crowe"	0.0852004
"Michael J. Fox"	0.0850898
"Kevin Spacey"	0.0850053
"Michael Caine"	0.0849325
"Nicolas Cage"	0.0847329
"Danny Glover"	0.0834534
"Woody Allen"	0.0831429
"Sean Connery"	0.0817924
"Matthew McConaughey"	0.0816369
"Richard Dreyfuss"	0.0814404
"Jodie Foster"	0.0812833
"Robin Williams"	0.0810876
"Roberto Benigni"	0.0806301
"Kevin Bacon"	0.080513
"Liam Neeson"	0.0800752
"Sidney Poitier"	0.0799434
"Sean Penn"	0.0788278
"Tim Allen"	0.0783986
"Whoopi Goldberg"	0.0780007
"Steve McQueen"	0.0774112
"Jimmy Smits"	0.077279
"Gregory Peck"	0.0772714
"Nick Nolte"	0.077215
"Cybill Shepherd"	0.076821
"Bruce Lee"	0.0766126
"Warren Beatty"	0.0761232
"Mike Myers"	0.0757088
"Burt Reynolds"	0.0755829
"Harvey Keitel"	0.0754635
"Jon Voight"	0.0749268
"William Shatner"	0.0741504
"Woody Harrelson"	0.0738384
"Frank Gifford"	0.073547
"Sandra Bullock"	0.0725607
"Jennifer Lopez"	0.0723533
"Wesley Snipes"	0.0723411
"Bill Murray"	0.0713226
"Annette Bening"	0.0710661
"Spike Lee"	0.0698871
"Bob Hope"	0.0695717
"Martin Sheen"	0.069268
Costner	0.0692545
"Mark Wahlberg"	0.0690548
"Drew Barrymore"	0.0683794
"Chow Yun-Fat"	0.0680179
Deneuve	0.0677298
"Sally Field"	0.0673742
"Melanie Griffith"	0.0666463
"Antonio Banderas"	0.0665709
"Bill Cosby"	0.0662019
"Dennis Quaid"	0.0660889
"Cameron Diaz"	0.0652996
"Steven Spielberg"	0.065281
"Spencer Tracy"	0.0649384
"Steve Martin"	0.0648901
"Jamie Lee Curtis"	0.0646193
"David Duchovny"	0.0644753
"Cuba Gooding Jr."	0.0641422
"Martin Lawrence"	0.0639772
"Ed Harris"	0.0637983
"Jason Alexander"	0.063784
Hepburn	0.0636666
"Barbra Streisand"	0.0634697
"Laurence Fishburne"	0.0630881
"Jerry Seinfeld"	0.0630289
"Faye Dunaway"	0.062901
wattage	0.0627527
"Tim Robbins"	0.0623924
"Stanley Tucci"	0.0622145
"Geoffrey Rush"	0.0621138
"Ian McKellen"	0.0619643
"Marx Brothers"	0.061934
"James Dean"	0.0616437
"Chevy Chase"	0.061036
"Halle Berry"	0.0608706
"David Spade"	0.0607513
"Neve Campbell"	0.0607398
"Anthony Hopkins"	0.0605619
"Mary Tyler Moore"	0.0604241
"Hilary Swank"	0.0602744
"William H. Macy"	0.0602291
Coen	0.0601997
"Jessica Lange"	0.0600838
"Brenda Blethyn"	0.0599898
"Ted Danson"	0.0597211
"Bette Midler"	0.059555
"John Waters"	0.0594536
"Sigourney Weaver"	0.0592653
"Aidan Quinn"	0.0592612
"David Lynch"	0.0591006
"Kevin Kline"	0.0590748
"Patrick Stewart"	0.0590378
"Elizabeth Taylor"	0.0589652
"Susan Sarandon"	0.0588985
"Brian Dennehy"	0.058858
"Janet Jackson"	0.0588074
"Ralph Fiennes"	0.0588031
"Goldie Hawn"	0.0585115
"Kenneth Branagh"	0.0585018
"Humphrey Bogart"	0.0583721
"Danny DeVito"	0.0582811
"Indiana Jones"	0.0579772
"Robert Downey Jr."	0.0572387
"Omar Epps"	0.0571677
Madonna	0.0569029
"Catherine Deneuve"	0.0565075
"Grace Kelly"	0.0563363
Sandler	0.0563318
"Gwyneth Paltrow"	0.0560807
"Kirk Douglas"	0.0558303
"Frank Capra"	0.0557761
"Renee Zellweger"	0.0556472
"James Cagney"	0.0556236
"Jennifer Love Hewitt"	0.0554995
"George Lucas"	0.055281
"Patricia Arquette"	0.055199
"Austin Powers"	0.0548675
"Quentin Tarantino"	0.0547249
"James Stewart"	0.0546111
"Brendan Fraser"	0.0545884
"Burt Lancaster"	0.0543503
"Angela Bassett"	0.0543239
"James Woods"	0.0542362
"Marilyn Monroe"	0.0539374
"Oliver Stone"	0.0538165
Carrey	0.0538139
"Milton Berle"	0.0537618
"Diana Ross"	0.0536619
"John Malkovich"	0.0536252
"Katharine Hepburn"	0.0532528
"Anne Bancroft"	0.0531887
"Kirsten Dunst"	0.0531876
"Joseph Estrada"	0.0530969
"Jamie Foxx"	0.0530773
"Norm MacDonald"	0.0527638
"Rupert Everett"	0.0527467
"Bette Davis"	0.0525181
Zapruder	0.0523075
"Roy Rogers"	0.0519157
"Jimmy Stewart"	0.05166
"Buster Keaton"	0.0515595
"Natalie Portman"	0.0515074
"Vanessa Redgrave"	0.0514177
))
(Arnott (desc 2172.4) (sims
Sykora	0.217272
Elias	0.202576
"Petr Sykora"	0.180945
Holik	0.157301
"Jason Arnott"	0.152114
"Jay Pandolfo"	0.148334
"Scott Niedermayer"	0.144277
Andreychuk	0.138034
LaPointe	0.134268
SJ	0.128498
Rucchin	0.128155
phi	0.127486
Zubov	0.125735
Edm	0.120803
LeClair	0.119511
Niedermayer	0.116217
Modano	0.114564
BUF	0.112345
"Randy McKay"	0.111531
Nedved	0.109854
"Bobby Holik"	0.108039
Drury	0.105348
Stl	0.104667
"Mike Modano"	0.102371
Det	0.101666
Sacco	0.100975
Norstrom	0.100672
Carbonneau	0.1003
Smolinski	0.0992825
Ott	0.0983076
Kariya	0.0978397
Stumpel	0.0972476
Madden	0.0968948
Kamensky	0.095778
col	0.0956189
"Ken Daneyko"	0.0947061
Reichel	0.0946099
Turgeon	0.0935986
dal	0.0935253
"Claude Lemieux"	0.0934782
pho	0.0920792
Langenbrunner	0.089635
Sydor	0.0888027
FLA	0.0887601
Mon	0.0879578
McKay	0.0871327
Ana	0.085488
Recchi	0.08542
Robitaille	0.0851484
Hollins	0.0849615
Woolley	0.0849265
Verbeek	0.0845186
Sundin	0.0845165
MacLean	0.0844894
Barrie	0.0840661
Peca	0.083857
"Brian Rolston"	0.0837352
Lacroix	0.0831509
Audette	0.0830718
Heinze	0.0823263
"Vladimir Malakhov"	0.0820467
Hatcher	0.0809083
"Joe Thornton"	0.0805434
"Cliff Ronning"	0.0804108
Nieuwendyk	0.079514
Tverdovsky	0.0792647
Leetch	0.0785652
Forsberg	0.0782614
"Patrik Elias"	0.0778524
Stinnett	0.0773054
Tocchet	0.0770618
Khristich	0.0763675
"Scott Gomez"	0.0756821
Duchesne	0.0750785
"Dave Andreychuk"	0.0745384
Fedorov	0.0743609
"Fredrik Olausson"	0.0723635
"Darryl Sydor"	0.0723459
Gilmour	0.0723456
Pederson	0.0718583
Batistuta	0.0716537
Briere	0.0716151
Ricci	0.0712283
"Richard Matvichuk"	0.0711694
Kovalev	0.0707474
Selanne	0.0706858
Koznick	0.0705885
Thuram	0.0701702
Donato	0.0695242
Jagr	0.069153
Etcheverry	0.0688277
Gorter	0.0683935
Lehtinen	0.0676448
"Sergei Zubov"	0.0668806
Asprilla	0.066664
"Derian Hatcher"	0.0662095
Hejduk	0.0660831
Roenick	0.0654417
"Sergei Samsonov"	0.0652866
Suker	0.0652245
Bullard	0.0649454
DiMaio	0.0647912
Yzerman	0.0644337
Berard	0.0633671
Cal	0.0631574
Palffy	0.0625448
"Chris Pronger"	0.0623661
"Brett Hull"	0.0623318
Meares	0.0621953
"Jason Allison"	0.0619408
"Glen Murray"	0.0617771
Jonsson	0.0616413
"Dixon Ward"	0.06095
Moeller	0.0603432
Hecht	0.0598601
Serna	0.0598168
Hurtado	0.0597981
"Joe Nieuwendyk"	0.0597838
Primeau	0.0597641
Sakic	0.0596022
Morrison	0.0595092
NA	0.0592328
Bergkamp	0.0590848
"Jaromir Jagr"	0.0588609
"Steve Rucchin"	0.0587176
Dellucci	0.058669
Preki	0.0585625
McKenna	0.0584711
Kluivert	0.0584604
Laperriere	0.0581683
Cienfuegos	0.0577968
"Alexei Zhitnik"	0.0576364
"Lyle Odelein"	0.0575234
Welton	0.057311
Tkachuk	0.0572566
"Luc Robitaille"	0.0571747
Laudrup	0.0570706
Lassiter	0.0570674
"Teemu Selanne"	0.0570446
"Tim Taylor"	0.0570339
"Petr Nedved"	0.0569701
Graziani	0.0567928
Ferraro	0.0567521
Cirillo	0.0566606
"Kevin Stevens"	0.0564924
Kohn	0.0557563
Fleury	0.0553809
Counsell	0.0543953
Salas	0.0543182
Sampaio	0.0538644
"Peter Bondra"	0.0537705
Savarese	0.0534784
Braugher	0.0534418
Bure	0.0533173
Nesby	0.0532772
"Peter Forsberg"	0.0532301
"Pierre Turgeon"	0.0532297
McInnis	0.0531137
Tatis	0.0530887
Wynalda	0.053082
Hendrickson	0.0529746
Nailon	0.0529696
"Chris Drury"	0.0524742
Kapono	0.0518542
Stillman	0.0518176
"Paul Kariya"	0.0518168
MacInnis	0.0515993
Samsonov	0.0515719
Guerin	0.0514617
Bierhoff	0.0514468
"Adam Deadmarsh"	0.0510663
Neely	0.0507984
Daigle	0.0507563
Trepagnier	0.0506109
Dunston	0.0502056
Hakim	0.0500844
STALEY	0.0498339
Lindros	0.0497423
Klinsmann	0.0496386
Connell	0.0495705
Longley	0.0495271
ALLISON	0.049472
Smyth	0.0492735
Brogna	0.0491643
hermosillo	0.049067
"Bill Guerin"	0.0490349
"Adam Graves"	0.049008
Barrasso	0.0489817
"Pavol Demitra"	0.0489379
McCarty	0.0487513
tor	0.0487481
"Travis Green"	0.0487154
"Scarlet Knights"	0.0486971
"Larry Murphy"	0.0485516
Lowry	0.0485366
Lessig	0.0482627
"Sergei Fedorov"	0.0481772
Chi	0.0479856
Parrish	0.0477809
"Joe-Max Moore"	0.047638
))
(aroma (desc 19669.6) (sims
smell	0.21699
flavor	0.216763
scent	0.199567
odor	0.160703
Fragrance	0.153955
sweetness	0.133704
taste	0.125379
texture	0.112798
aftertaste	0.104219
acidity	0.102736
whiff	0.0999236
stench	0.0986177
perfume	0.091435
bouquet	0.0895697
juice	0.0884328
color	0.0880799
tannin	0.0876861
richness	0.0847488
hue	0.0846546
crispness	0.0840734
fume	0.0830688
smoke	0.0804796
morsel	0.0790969
earthiness	0.0772407
bite	0.0757512
mixture	0.0748642
sauce	0.0738606
spice	0.073017
blossom	0.0729498
slice	0.0713749
flavoring	0.0713186
hint	0.0712288
glow	0.0711392
fruit	0.0709484
puff	0.0707403
blend	0.0703944
dish	0.0688774
brew	0.0659833
accent	0.0654714
variety	0.0645707
citrus	0.0644979
syrup	0.0636591
melon	0.0633006
pear	0.0632681
aura	0.0621058
TART	0.0619052
lavender	0.0616817
wine	0.0610036
raspberry	0.0609728
tint	0.0601156
Cherry	0.0598402
cream	0.0592811
puree	0.0591147
plume	0.0590562
concoction	0.0590386
shade	0.0588397
apricot	0.0585633
warmth	0.0581969
lemon	0.0579672
cake	0.0574831
overtone	0.0566127
wisp	0.0565466
undertone	0.0562559
crust	0.0562283
soup	0.0561599
purple	0.0560608
Haze	0.0559135
tasting	0.05575
vinaigrette	0.0557118
salad	0.0556374
flesh	0.0554794
peach	0.0554382
custard	0.055133
noise	0.0548134
"ice cream"	0.0541687
layer	0.0539444
freshness	0.0538424
plum	0.0532653
tangerine	0.0528535
vanilla	0.05239
smelling	0.0523504
sorbet	0.0522261
lime	0.0522247
Pink	0.0521924
Orange	0.0521748
beauty	0.0520805
chocolate	0.0518804
ingredient	0.0518751
berry	0.0518124
grape	0.0516691
flower	0.0516492
glaze	0.0516417
Pudding	0.0515539
essence	0.0515057
elegance	0.0512935
nuance	0.0510585
nectar	0.0509457
consistency	0.0508909
filling	0.0506363
sheen	0.0504963
grower	0.0504865
drawl	0.0504794
liqueur	0.0499693
salsa	0.0499336
combination	0.0499089
Liquid	0.049877
pie	0.0498491
tone	0.0496953
chunk	0.0495517
rind	0.0493909
irony	0.0493312
mouthful	0.0491276
timbre	0.0490328
fig	0.0489234
stew	0.0487483
vapor	0.0486557
curd	0.0486396
broth	0.0485778
orchard	0.0485438
dessert	0.0484508
"more than @@,@@@ tons"	0.0481353
jar	0.0480991
crate	0.0480294
pleasure	0.0479311
lightness	0.0479127
melody	0.0478901
breeze	0.0478734
compote	0.0475386
"white wine"	0.046941
cheese	0.0467756
licorice	0.0466334
zest	0.04646
meal	0.0464001
fog	0.0463384
recipe	0.0463318
blackberry	0.0462369
mint	0.0462343
skin	0.0460834
mist	0.0457535
afterglow	0.0451415
chutney	0.045136
smoothie	0.0447961
"about @@,@@@ tons"	0.0447323
charm	0.0447094
vegetable	0.0447059
personality	0.0446347
"shelf life"	0.0445774
ambience	0.044501
cloud	0.0444822
herb	0.044244
COBBLER	0.0442315
symbolism	0.0439761
Zinfandel	0.0437372
decor	0.0437119
vitality	0.0436445
nut	0.0435923
shading	0.0435309
honey	0.043513
POTPOURRI	0.0434428
moisture	0.0431653
bitterness	0.0430898
allure	0.0429874
crunch	0.0429837
strawberry	0.042843
foliage	0.0428193
mushroom	0.0427526
cube	0.0426496
platter	0.0424256
Souffle	0.0423896
cabbage	0.042268
confit	0.0422254
quantity	0.0421654
simplicity	0.0421529
sprig	0.0421422
grapefruit	0.0421279
"iced tea"	0.0420776
tomato	0.0420416
leaf	0.0418786
imagery	0.0418193
blueberry	0.041792
Oak	0.0417781
cachet	0.0416813
rhythm	0.0416433
cooky	0.0416092
wedge	0.0415317
bread	0.0414614
apple	0.0413858
biscuit	0.0413806
ragout	0.0411214
tenderness	0.0410693
pastry	0.0409998
olive	0.0409271
wreath	0.0408287
patina	0.0407053
tray	0.0405565
sliver	0.0404555
emotion	0.0402341
brandy	0.0402283
nostalgia	0.0400687
"sparkling wine"	0.040044
))
(aromatherapy (desc 2001.01) (sims
chiropractic	0.117603
"skin care"	0.111707
acupuncture	0.102909
paraffin	0.079709
facial	0.0775992
hypnosis	0.0770735
manicure	0.0744239
glade	0.0616835
pedicure	0.0614112
Chemo	0.0609071
radiotherapy	0.060494
toiletry	0.0586139
lifesaving	0.0576938
"soya bean"	0.0573859
turpentine	0.0572617
"beauty parlor"	0.0561219
Hanukkah	0.0556079
decompression	0.0554315
weight-loss	0.055212
psychotherapy	0.0551278
rabble	0.0543876
condensate	0.0511955
TCM	0.0510971
"veterinary medicine"	0.0509858
Cosmo	0.0498629
aerosol	0.0485457
incontinence	0.0482097
psoriasis	0.0461593
antioxidant	0.0460977
"afternoon tea"	0.0459184
CGI	0.04499
canola	0.0439058
seaweed	0.0438949
oceanside	0.0434987
chamomile	0.0430858
placebo	0.0429718
POTPOURRI	0.0427056
enema	0.0425413
"dental care"	0.0424594
"Medicare HMO"	0.0423547
"vitamin E"	0.042156
"physical therapy"	0.0420703
olestra	0.0420257
tabletop	0.0419818
soya	0.0417038
"kerosene lamp"	0.0416288
"Weight Watchers"	0.0413441
jasmine	0.0412265
ginseng	0.0406837
mem	0.0405519
decontamination	0.0405207
telephony	0.0403756
inpatient	0.0401713
))
(aromatics (desc 1124.34) (sims
flavoring	0.0962849
legume	0.0844048
seasoning	0.0803818
shivering	0.075953
pancetta	0.0757334
"bay leaf"	0.0703009
"dried fruit"	0.0694012
"root vegetable"	0.0686466
benzene	0.0674357
"hard drug"	0.0658102
leek	0.0648385
sachet	0.0643795
"three pitchers"	0.0640075
"human waste"	0.0635389
condiment	0.0628045
"cherry tomato"	0.0615677
particulates	0.0596227
"black bean"	0.0588324
"green bean"	0.0575141
"point system"	0.0564495
"beef broth"	0.0545721
porcini	0.0540265
shallot	0.0539308
"mechanical device"	0.0537834
phenoms	0.0536442
"green pepper"	0.0533292
anesthetic	0.0533165
trimming	0.0532163
"orange peel"	0.053178
transnationals	0.0530715
major-leaguers	0.0528225
veggie	0.0526012
celebs	0.0521646
celery	0.051764
succulent	0.0515401
tapioca	0.051513
lentil	0.0512356
sidebars	0.0507944
"key word"	0.0506767
entrails	0.050294
arsenic	0.0500122
"citric acid"	0.0499511
"vital organ"	0.0498402
"research staff"	0.0497587
Radon	0.0496391
"chemical compound"	0.0496077
ammonia	0.0494178
Creationists	0.0493362
dioxide	0.0491688
"citrus fruit"	0.0489645
ancients	0.048687
"chicken stock"	0.0483629
"methyl bromide"	0.048267
"fresh fish"	0.0478526
"airplane ticket"	0.0476233
"bell pepper"	0.047579
"safety feature"	0.047494
"coconut milk"	0.0474232
outhouse	0.0474101
"hot pepper"	0.0473871
nitrate	0.0473592
seaweed	0.0473551
pasteurization	0.0473145
"nitrogen oxide"	0.0465755
"skim milk"	0.0465234
cilantro	0.0464883
"convenience food"	0.0463665
tannin	0.0462672
"cut of meat"	0.0462238
"software package"	0.0460749
melon	0.0460201
quiche	0.0459347
emulator	0.0459084
intangible	0.0458556
"freshwater fish"	0.045641
tomatillo	0.045607
"weapon system"	0.045491
"poppy seed"	0.045293
V-@.	0.0451886
wasabi	0.045072
spaetzle	0.045069
"tuna fish"	0.0450527
"joint-stock company"	0.0450036
marinade	0.0448998
"No. @s"	0.0447302
varietals	0.0447168
B-@s	0.0447047
generics	0.044294
"fennel seed"	0.0442225
"garlic clove"	0.0439426
tarragon	0.0439362
"corned beef"	0.0439011
stethoscope	0.0437827
margarine	0.0435928
"white bean"	0.043395
grinder	0.0431398
formaldehyde	0.0429705
megamergers	0.0429427
contaminant	0.0428962
"consumer durables"	0.0428094
specialities	0.0427865
"canned goods"	0.0426091
"side dish"	0.0425851
"gas stove"	0.0424886
phosphorus	0.0422838
oilseed	0.0422485
drumstick	0.0421954
"extracurricular activity"	0.042113
resellers	0.0420808
soy	0.0418964
metropolises	0.0411101
claimer	0.041088
cyclicals	0.0410738
suffix	0.0409267
winch	0.0408875
"entitlement program"	0.0407454
"subject area"	0.0407299
fennel	0.0406782
"Baby Bells"	0.0404706
"internal organ"	0.0404029
exotica	0.040395
starch	0.0403422
"lima bean"	0.0403196
preparers	0.0402967
molasses	0.04027
FireWire	0.0400904
thyme	0.0400273
))
(Aron (desc 2957.95) (sims
Isolde	0.142035
Blackman	0.0829205
Rivlin	0.0779056
Sartre	0.0761742
Farrell	0.0760213
Tosca	0.07391
Faust	0.0716942
Turandot	0.0713667
Tilberis	0.0703982
"Marco Polo"	0.0690165
Sheehy	0.0679363
"LA BOHEME"	0.0679092
Kurtz	0.0672428
Shulman	0.0671118
Cleary	0.0665745
Kurth	0.065973
Samuelson	0.065756
Ivey	0.06348
Lipstadt	0.0629752
Bisek	0.0629296
Garber	0.0628817
Trantino	0.0627869
Farber	0.0625369
Cline	0.0620439
Northup	0.0620107
Vogel	0.0611521
Pape	0.0608281
"Peony Pavilion"	0.0596107
Kagalovsky	0.0593258
Baum	0.0590296
Webdale	0.0584937
Greco	0.0584609
Weiner	0.0582058
Galbraith	0.0579152
Mortimer	0.0564555
Huffington	0.0563736
Mathews	0.0561778
Edson	0.0554008
Hamlin	0.0551536
Seligman	0.0550269
Jaffe	0.05487
Sommer	0.054848
Adler	0.0547117
Rankin	0.054643
Grunwald	0.0545987
Garvey	0.0545033
Pierson	0.0541895
"Swan Lake"	0.0541575
"La Traviata"	0.0539298
Grossberg	0.0539007
Marx	0.0538912
Fahey	0.0537566
McFadden	0.0537375
Wiggins	0.0535885
Otello	0.0533418
Burgess	0.0531992
Weil	0.0530273
Ziegler	0.0528371
Portnoy	0.0528114
bock	0.0527974
Salome	0.0526825
Arbour	0.0525995
Brazile	0.0524396
Bushnell	0.0521782
Menchu	0.0521303
Doyle	0.052055
Luong	0.0520291
Porgy	0.0516964
Pryor	0.0516938
Merritt	0.0516526
Rosenberg	0.051608
McKenzie	0.051292
Rowling	0.0507648
McCormack	0.0506743
Patten	0.0506725
Abram	0.0505107
Duffy	0.0503177
Burroughs	0.0502181
COYNE	0.0501981
Wasserstein	0.0500965
Aida	0.0499694
Benedict	0.0499306
Giselle	0.0498784
Susannah	0.0496592
Tuttle	0.0494346
Garza	0.0492142
Blum	0.0490595
Bessette	0.0490196
Albrecht	0.0489515
"Piano Concerto"	0.0489204
Berenson	0.0488591
Arron	0.048652
Mucha	0.0485645
Ogden	0.0484997
Kingsley	0.0484563
Lockwood	0.047761
Scruggs	0.0476938
Shriver	0.0473406
Gallagher	0.047269
Mott	0.0472406
hodgson	0.0471464
Carlin	0.0469941
Copeland	0.046881
Nilsson	0.0467942
Fay	0.0466966
Liston	0.0466315
Morley	0.0466221
Puzo	0.0465586
Drexler	0.0465286
Solomon	0.0464239
Dowd	0.0462852
Manheim	0.0462841
Yoon	0.0462664
browning	0.0461484
Knapp	0.0461358
Theroux	0.0459926
Mullen	0.0459125
Hecht	0.0457268
Vasquez	0.0457208
Falco	0.045697
Jamison	0.0456178
Mohamed	0.0454746
Hickman	0.0453783
Sorensen	0.0453439
Gaffney	0.0453234
Wilde	0.0452437
Currier	0.045208
Heche	0.0451883
Rowe	0.0450575
Gutman	0.045007
lulu	0.044984
Holzman	0.0449418
Schmitz	0.0447773
Ackerman	0.0447729
Harrigan	0.0447283
Wolff	0.0446981
Flockhart	0.0446628
Barad	0.0444239
Stacy	0.0442875
McIntyre	0.0442478
Deneuve	0.0441727
Bronson	0.0440324
Muir	0.0439063
Falstaff	0.0438269
Wexler	0.0437286
Rubinstein	0.0436919
Tristan	0.043654
Brennan	0.0436153
Snowe	0.043586
Camus	0.0435672
Lear	0.0435607
Voltaire	0.0435119
Schafer	0.0434046
Hamid	0.0433907
Cooke	0.0433499
Lamberth	0.0433418
hector	0.0433405
"Don Quixote"	0.0433328
Stahl	0.0433233
Greenwald	0.043152
Hadley	0.0431049
Macdonald	0.0430322
Tam	0.0430035
Hsia	0.0429807
Blanchett	0.0429237
Schaeffer	0.0428972
Mei	0.0427758
Levine	0.0427364
Leuchter	0.0427062
Marchand	0.0426952
Hersh	0.0426568
Cruz	0.0426258
Mcbride	0.0426108
Ricart	0.0425451
Betts	0.0425374
Bragg	0.042512
Upshaw	0.0425057
Carmichael	0.042497
Byrne	0.0424533
Meeks	0.0422003
Seymour	0.0421327
Slatkin	0.0420668
Moser	0.0420375
Briscoe	0.0420223
Markovic	0.0420158
Othello	0.041875
Whaley	0.0418666
Tharp	0.0418633
Friedman	0.0418618
McDonnell	0.0417348
McHugh	0.0417307
Hurley	0.0416775
Goldin	0.0416345
Nasrin	0.0415629
Redgrave	0.0415341
Adair	0.0414994
McDermott	0.0414965
Waxman	0.0414647
Roberson	0.0414087
McPherson	0.0413895
))
("Around @@" (desc 796.195) (sims
"Around @@@"	0.185377
"up to seven"	0.174102
Thirty-five	0.164844
Forty-two	0.164652
Thirty	0.155692
"about @@@ to @@@"	0.145796
Thirty-three	0.14564
"More than three million"	0.14556
"over @@@"	0.143732
Fifteen	0.139582
"over @,@@@"	0.135463
"up to @,@@@"	0.134864
Forty-five	0.134097
"Two hundred"	0.132402
sixty	0.132172
"Over two million"	0.132125
"roughly @@@"	0.131935
"over @.@@ million"	0.131397
"nearly @,@@@"	0.12989
"nearly @@@"	0.128012
Fourteen	0.127658
Thirty-six	0.127287
"over @.@ million"	0.126821
"Kosovar Albanian"	0.126038
"more than @.@@ million"	0.12298
"Over one million"	0.122397
"close to @,@@@"	0.121018
Thirteen	0.120326
Forty-four	0.119996
"ten thousand"	0.119655
"Another @,@@@"	0.11842
"roughly @,@@@"	0.117122
"another nine"	0.116495
"Three hundred"	0.116305
"Other @@"	0.114756
"more than four million"	0.114491
"more than ten"	0.114106
"More than two million"	0.112914
"up to five"	0.112719
"Four million"	0.112549
Kurd	0.112339
"close to @@,@@@"	0.112151
Thirty-two	0.111293
Thirty-four	0.111145
"almost @@@"	0.11004
"other @@@"	0.108766
Eighteen	0.108642
"About two million"	0.107381
Nineteen	0.107177
"more than @@@@"	0.106989
"Another @@@"	0.106397
Fifty	0.10615
"nine million"	0.104978
Thirty-nine	0.10487
"roughly @@"	0.104628
"up to @@,@@@"	0.104389
forty	0.104068
Sixteen	0.103456
"roughly @@,@@@"	0.103307
seventy	0.100233
seventeen	0.100077
"Seven million"	0.0999225
"another @@,@@@"	0.0997877
"nearly one million"	0.0995324
Thirty-one	0.098695
"up to six"	0.0973729
"another four"	0.0973512
"Ethnic Albanian"	0.0973334
"another @@"	0.0973244
twenty	0.097279
Forty-seven	0.09705
"Nearly @.@ million"	0.0966982
"about seven"	0.096634
"About one million"	0.0961238
"nearly @@,@@@"	0.095916
"eight million"	0.0957416
"About @.@@ million"	0.0955948
Thirty-eight	0.0953907
"more than one million"	0.0946086
"nearly @@@,@@@"	0.0939365
"up to three"	0.0931822
"over @@,@@@"	0.0929561
"three million"	0.0927099
"almost @@@,@@@"	0.0926147
"two dozen"	0.0925967
"up to @@ million"	0.0921505
"over @ million"	0.0910527
"another five"	0.0909044
Twelve	0.0901057
"another @@@,@@@"	0.0898159
"more than six"	0.0890375
"roughly @@@,@@@"	0.0885845
Eleven	0.0883906
"six to eight"	0.0873972
"over @@@,@@@"	0.0872348
"six to @@"	0.0871478
"almost @,@@@"	0.0868934
"more than @ billion"	0.0862184
"up to @@@,@@@"	0.0851387
"About three million"	0.084997
"other seven"	0.0849008
"up to @@@"	0.0838695
"two million"	0.0833156
"almost @@,@@@"	0.0831938
"Another eight"	0.0827822
"six million"	0.082473
"nearly @@ million"	0.0821756
Zapatista	0.0820725
"More than @.@ million"	0.0803505
"another six"	0.0801238
eighty	0.0795127
Ingush	0.0786636
"close to @@@"	0.0778118
"More than two"	0.0777015
Kosovar	0.0774888
"about two"	0.0774423
"up to @ million"	0.077111
non-Muslim	0.0768303
"other four"	0.0758666
"over @@ million"	0.0755985
"nearly @ million"	0.0748795
"up to @@"	0.0746691
Abortion-rights	0.0744025
Moro	0.0743943
"up to two"	0.0736791
"Greek Cypriot"	0.0736766
"about @@ to @@"	0.0736459
"up to eight"	0.0734736
"more than eight"	0.0734342
Kurdish	0.0730028
"almost @ million"	0.0716631
"up to four"	0.0708855
"four to five"	0.0706913
"nearly @@@ million"	0.0706289
WNBF	0.0698361
"other five"	0.0695866
"Israeli Arab"	0.0695434
eco	0.0692764
Kashmiri	0.0687909
"more than seven"	0.0687831
"other nine"	0.068376
"more than @@@ million"	0.0678605
"more than @.@ billion"	0.0676167
"almost @@ million"	0.0671246
Cuban-American	0.0670834
Hasidic	0.0669698
Tajik	0.06674
"other eight"	0.066394
MRTA	0.0662669
"five million"	0.0657705
Hmong	0.0657444
"more than @ million"	0.0644408
"another three"	0.0643232
Renamo	0.0642763
"another @ million"	0.0642445
"two billion"	0.0641387
"about nine"	0.0636207
Timorese	0.0635246
Sandinista	0.0634899
slain	0.0633574
"Another two"	0.0624807
Younger	0.0623257
"about six"	0.0622836
"Another @@ million"	0.0618969
PETA	0.0613717
"another seven"	0.0611842
"over @@@ million"	0.0609151
NU	0.0604116
Uzbek	0.0603834
"Kosovo Albanian"	0.0601838
"flag waving"	0.0601617
"close to @@"	0.0601272
"about @ million"	0.060044
UNIP	0.0598766
Ijaw	0.0595822
TCM	0.0595357
"About @ billion"	0.0592856
"more than five"	0.0590468
"Independence Party"	0.0589225
"mentally retarded"	0.0587447
"four to six"	0.0584473
Kony	0.0582431
Israeli-Arab	0.0579294
"about @.@ million"	0.0578726
"East German"	0.0577061
"Nearly two"	0.0575977
Marta	0.0575569
"eight to @@"	0.0574661
"turning away"	0.0573701
"North Korean"	0.0569318
Abkhazian	0.0565832
non-American	0.0561965
"five to @@"	0.055861
"Bosnian Muslim"	0.055819
Druse	0.0557509
"half a dozen"	0.055457
Croat	0.0551717
PCC	0.0551618
Bougainville	0.0551531
"about @@@ million"	0.0549343
))
("Around @@@" (desc 1223.94) (sims
"Two hundred"	0.192037
"Around @@"	0.185377
Thirty-five	0.181234
Forty-two	0.160254
"close to @,@@@"	0.160217
Thirty-four	0.15991
"nearly @,@@@"	0.154779
"roughly @@@"	0.14898
"roughly @,@@@"	0.148865
"up to @,@@@"	0.144903
"Three hundred"	0.141568
"over @.@@ million"	0.14116
"nearly @@@"	0.138739
"up to three"	0.138299
"over @,@@@"	0.13712
"over @@@"	0.133139
"Over two million"	0.130881
Thirty-six	0.128445
"Greek Cypriot"	0.126593
twenty	0.126522
"More than two million"	0.126144
"almost @ million"	0.125572
Thirty-two	0.125393
"more than @@@@"	0.125145
"nearly @@,@@@"	0.12321
Twelve	0.122805
"about @@@"	0.122438
eighty	0.122179
"more than @,@@@"	0.121819
"up to @@,@@@"	0.121749
"up to eight"	0.121702
"almost @,@@@"	0.119033
"over @@,@@@"	0.118948
"About one million"	0.118898
"another @@,@@@"	0.118416
"almost @@@"	0.118292
"Another @,@@@"	0.118235
"roughly @@,@@@"	0.117079
"up to seven"	0.116782
"up to @@@,@@@"	0.116311
Forty-five	0.116116
Forty-four	0.115824
"other @@@"	0.114924
Nineteen	0.114582
Fourteen	0.114581
forty	0.113543
Fifteen	0.113518
"another five"	0.113267
"About @,@@@"	0.11303
"Over one million"	0.110297
Thirteen	0.109729
"roughly @@@,@@@"	0.108032
"more than @@,@@@"	0.107524
"More than three million"	0.107445
Okinawan	0.106906
Thirty-eight	0.10641
"Another eight"	0.106339
"another nine"	0.106207
Sixteen	0.106189
"About three million"	0.106019
"about @@,@@@"	0.105975
"up to six"	0.10581
"Four million"	0.104672
"up to five"	0.103575
"nearly @@@,@@@"	0.102682
"more than @@@,@@@"	0.102422
"Nearly @.@ million"	0.102025
"up to @@@"	0.101702
"up to two"	0.101071
plainclothes	0.100706
"about @@@ to @@@"	0.100147
"close to @@,@@@"	0.100076
"Another @@@"	0.0996094
Thirty	0.0994004
"two dozen"	0.0989481
"nearly @ million"	0.0987452
"up to @ million"	0.0962011
"over @@@,@@@"	0.0957945
"almost @@,@@@"	0.0953323
"more than four million"	0.0951412
"more than @ million"	0.0950724
Thirty-nine	0.0950116
"six million"	0.094409
"over @.@ million"	0.0943417
"About two million"	0.0937312
Fifty	0.0936887
Thirty-one	0.0926323
"another @@"	0.0917513
"about three"	0.091528
"eight million"	0.0914608
"almost @@@,@@@"	0.0913831
"nearly one million"	0.0910746
"Bosnian Muslim"	0.0900186
"up to @@ million"	0.0897997
Eleven	0.0893359
non-Jewish	0.0891154
Cuban-American	0.0889746
Ingush	0.0887538
"One Million"	0.0882258
"three million"	0.0881563
seventy	0.0880095
Abortion-rights	0.0877642
"more than one million"	0.0876632
"Seven million"	0.086969
"about eight"	0.0861975
"less than @@,@@@"	0.0841214
"ten thousand"	0.0837408
"about seven"	0.0836312
"roughly @@"	0.0834374
"More than two"	0.0831745
"nearly @@ million"	0.0827477
"more than @.@@ million"	0.082598
"Other @@"	0.0821894
"Kosovar Albanian"	0.0820484
"nine million"	0.0813817
sixty	0.0813742
"More than @.@ million"	0.0813177
"about @ million"	0.0809253
"another @@@,@@@"	0.0805333
"close to @@@"	0.0795569
Eighteen	0.0786448
"five million"	0.0784231
"about six"	0.077459
"six to @@"	0.0772481
nonwhite	0.0769168
"up to four"	0.0768636
"Ethnic Albanian"	0.0767273
"more than @.@ billion"	0.0765433
"more than @@ million"	0.0763551
"about two"	0.0757033
"more than @ billion"	0.0756219
"about @@@,@@@"	0.0753897
Thirty-three	0.0752118
"two million"	0.0749472
"Nearly two"	0.074841
"almost @@ million"	0.0743155
"Another two"	0.0741106
"Sri Lankan"	0.0736543
Forty-seven	0.0733804
"eight to @@"	0.0731406
"other five"	0.0728383
Ivorian	0.0727994
"up to @@"	0.0720561
slain	0.0717243
"first @@@"	0.070976
Croat	0.0709457
"about @.@ million"	0.0704634
PBA	0.070185
WSU	0.0695917
"half a dozen"	0.0692013
"over @ million"	0.0691647
"South Vietnamese"	0.068781
"over @@ million"	0.0679166
"another four"	0.0679126
"turning away"	0.0678594
Fifty-five	0.0678343
"flag waving"	0.0676128
"Bosnian Croat"	0.0675506
"another @ million"	0.067293
"other four"	0.0662483
"less than @@@"	0.0650664
seventeen	0.0649962
"six to eight"	0.0644464
Camerounian	0.063939
"more than three"	0.0637961
"two to four"	0.0637689
Maori	0.0637455
"four to five"	0.0636593
"other nine"	0.062955
Kosovar	0.0626463
"more than eight"	0.0624883
Timorese	0.0621064
Khmer	0.0613929
"nearly @@"	0.0613101
"more than ten"	0.0613019
"Orthodox Jewish"	0.0609385
"another seven"	0.0597324
Zapatista	0.05946
non-Hispanic	0.0594389
Asian-American	0.0585647
"four to six"	0.0583785
Sinhala	0.0578121
"more than five"	0.0575847
"Asian American"	0.0575604
Palawan	0.0574151
Abkhazian	0.0573641
"another six"	0.0569363
Tutsi	0.056082
Shawnee	0.0559876
"About @.@@ million"	0.0559203
"another @.@ million"	0.0558034
"five to @@"	0.0557677
Kurdish	0.0557255
"About @ billion"	0.0548181
Rwandese	0.0546771
Botswanan	0.0545032
"University of Zimbabwe"	0.0541769
ragtag	0.0540929
"Garden State"	0.053979
Inca	0.0539477
))
(around-the-clock (desc 906.217) (sims
round-the-clock	0.248262
"gambling casino"	0.0864208
hand-in-hand	0.0782275
harder	0.0771211
snowplow	0.0751842
fulltime	0.074022
"child welfare agency"	0.0732376
Taleban	0.071153
stayaway	0.0711213
"service agency"	0.0708357
"American plane"	0.0679839
eavesdropper	0.067744
CMAG	0.0672607
ZDTV	0.065902
forklift	0.0656347
"warning signal"	0.0643637
UNAMSIL	0.0642915
"weather satellite"	0.0641955
"observation post"	0.0638082
endoscope	0.0634434
lockbox	0.0632377
guidepost	0.0627641
"Russ Ortiz"	0.0621146
"gas pedal"	0.0617939
Hotlines	0.0615059
"Philippine Central Bank"	0.0613477
"United Nations High Commission for Refugees"	0.0611411
Gorman	0.0607798
crematorium	0.0597402
"alarm system"	0.058678
"Strategic Petroleum Reserve"	0.0584637
"Secretary General Boutros Boutros-Ghali"	0.0581842
sickout	0.0580609
Measures	0.0579941
"bus route"	0.0579549
"personal appeal"	0.0572804
ABS-CBN	0.0571284
"Kevin Tapani"	0.0567935
"first pitcher"	0.056738
"extension cord"	0.0556559
clicker	0.0552091
refusals	0.055102
"driving school"	0.0548778
"Electoral Commission"	0.0548097
"Saudi Press Agency"	0.0547775
"damage control"	0.0545627
"early warning system"	0.054094
Auger	0.0540121
UNPREDEP	0.0539648
Filtration	0.0537308
LCD	0.0536645
"crossword puzzle"	0.0532984
jackhammer	0.0531534
forklifts	0.0521363
uncovering	0.0517579
"million over five years"	0.0517344
tribesman	0.0515571
"work group"	0.0513169
buybacks	0.0512032
"polling place"	0.0511151
SOS	0.0506351
"Central American nation"	0.0505426
"drilling rig"	0.0505146
Streetcar	0.0504142
northeastward	0.0502582
Lucasfilm	0.0502489
"U.N. High Commissioner for Refugees"	0.0501957
Preston	0.0501404
"security consultant"	0.0500164
JMC	0.0499707
KPL	0.0495066
Fares	0.0493952
easier	0.0492661
"machine shop"	0.0491949
"three billion yuan"	0.0491587
Bono	0.0490064
midterm	0.048823
"Natural Born Killers"	0.0485014
"three @-pointers"	0.0482522
"Airbus @@@"	0.0481205
"budget debate"	0.04788
ECN	0.0477424
"field hospital"	0.0477069
"Garrison Hearst"	0.0475188
"heart rate"	0.0475095
SSE	0.0473003
"meteorological satellite"	0.0472867
pushcart	0.0472378
"upset stomach"	0.0472234
"Desert Fox"	0.0472083
spacewalks	0.0468545
"more than @@@ million yuan"	0.0467851
Kealy	0.0465041
KLSE	0.046402
"guardian angel"	0.0462947
"space walk"	0.0462794
snit	0.0461292
"electronic communication"	0.0460339
off-Broadway	0.0458287
Reel.com	0.0457673
T-bonds	0.0457028
polling	0.045583
"airplane ticket"	0.045398
Ecuadorian	0.0453903
Malkovich	0.0453359
"great care"	0.0453248
Macedonian	0.0452
Kulikov	0.0451348
CEC	0.0450997
"atmospheric condition"	0.0450896
"power unit"	0.0450421
"brokerage account"	0.0449736
"international flight"	0.0448997
"chicken coop"	0.0448601
dowager	0.0446462
"asset sale"	0.0445099
"electric current"	0.0445022
"sea lane"	0.0444447
"monitoring program"	0.0444163
"track event"	0.0442769
"altar boy"	0.0442397
CRT	0.0439699
"Animal House"	0.0439325
"non-governmental organizations"	0.0438932
"weapons system"	0.0438478
"Heath Irwin"	0.0438033
CCC	0.0437951
"Arab Parliamentary Union"	0.0437688
speakeasy	0.0436306
"Animal Planet"	0.0436054
"fire hose"	0.043603
airdrop	0.0435752
sleuthing	0.0435543
housemates	0.0435032
Comelec	0.0434774
"Demilitarized Zone"	0.0434578
"admission price"	0.0433809
ITF	0.0432036
"communications equipment"	0.0431278
"work stoppage"	0.0431049
"fire drill"	0.0429083
orgasm	0.0427982
stopgap	0.0427658
anvil	0.0425975
Zvezda	0.0425622
"rating system"	0.0424703
UNFICYP	0.0424668
riverboats	0.042393
"British Broadcasting Corporation"	0.0423322
"exchange market"	0.0421281
glucose	0.0420956
quickest	0.042046
COMINGS	0.0419207
"barrels per day"	0.0418801
"engine failure"	0.0418639
"RM@@,@@@"	0.0418441
"Royal Government"	0.0416801
Foods	0.0416608
"blood sugar"	0.041596
IGC	0.041588
"annual payment"	0.0415718
"Valery Pustovoitenko"	0.0415396
fryer	0.0414647
Esposito	0.0414331
"one billion dollars"	0.0413595
NCEC	0.0412743
INEC	0.0412509
"ugly duckling"	0.0411988
Malawian	0.0411978
"all clear"	0.0411666
teamster	0.041101
"body temperature"	0.0410359
A-@@@	0.0409644
"Joint Military Commission"	0.0409514
"Mighty Joe Young"	0.040929
Shayler	0.0408752
webcams	0.0408492
"first school"	0.0408287
"moral obligation"	0.0407489
kudzu	0.0407262
defibrillator	0.0406992
"money fund"	0.0406774
"ad blitz"	0.0405636
assessor	0.0405273
nightspot	0.0405236
"object lesson"	0.0405107
"trading post"	0.0404873
"secret plan"	0.0404809
"six furlongs"	0.0404787
"electrical device"	0.0404697
"Cartoon Network"	0.0404154
crusher	0.04037
"Civic Arena"	0.0403235
overpayment	0.0401901
do-gooder	0.0401322
EOHR	0.040094
"animal disease"	0.0400401
"All-Star Games"	0.0400343
))
(arousal (desc 934.641) (sims
alertness	0.105092
tiredness	0.0793996
salinity	0.0772484
"hydrogen sulfide"	0.075971
"sex hormone"	0.0745125
decomposition	0.0720286
unreality	0.0706847
homocysteine	0.0686738
powerlessness	0.068563
overvaluation	0.0672084
helplessness	0.0666
cryptosporidium	0.0642479
disquiet	0.0640021
self-absorption	0.0636496
LDL	0.0632518
toxicity	0.0630722
vaulter	0.0608849
"temperature change"	0.0603869
"sexual desire"	0.0601879
casualness	0.0598727
self-worth	0.0595833
"inner ear"	0.0593189
serotonin	0.0590497
connectedness	0.0588446
melatonin	0.0568947
mutilation	0.0568369
specificity	0.0559016
specialization	0.0555404
aggressiveness	0.0554074
hyperactivity	0.0553369
tightness	0.0552876
self-consciousness	0.0551817
ambivalence	0.0538748
deprivation	0.0534386
trepidation	0.0532928
HDL	0.0532146
dopamine	0.0530726
immaturity	0.0530409
defoliant	0.0527894
asymmetry	0.0522859
dependency	0.0520322
polarization	0.0519045
exhilaration	0.0515473
disillusionment	0.0514323
"blood sugar"	0.0512284
numbness	0.0508845
"vitamin D"	0.0506928
impurity	0.0501276
lethargy	0.0498828
giardia	0.0497514
dryness	0.0495849
"six degrees"	0.0492933
doneness	0.049231
inferiority	0.0489482
"digestive tract"	0.0486866
nastiness	0.0484097
edginess	0.0483423
circumcision	0.0481016
"fatty acid"	0.0480694
"nitrogen dioxide"	0.0479976
radioactivity	0.0478751
glucose	0.0477978
reasonableness	0.0472432
maturation	0.0471803
"about @.@"	0.0471386
oneness	0.0470221
interdependence	0.0469691
libido	0.0467057
femininity	0.0465875
hemoglobin	0.0465198
dang	0.0463486
uneasiness	0.0461883
incapacity	0.0459059
"Official Development Assistance"	0.0455533
clotting	0.0452608
"moral hazard"	0.0451848
impoverishment	0.045163
chloride	0.0450881
guidepost	0.0450542
NTR	0.0449573
"raw talent"	0.0448178
cross-fertilization	0.044552
Kelantan	0.0445511
restlessness	0.0444107
infertility	0.0443556
"Minas Gerais"	0.0442668
"central nervous system"	0.0441616
"heart valve"	0.0440723
belligerence	0.0430109
homelessness	0.0429975
masturbation	0.0428641
infanticide	0.0428322
equilibrium	0.0427062
exasperation	0.0426433
variability	0.0424468
"moral obligation"	0.0424393
narrowing	0.0423908
aftereffect	0.0422832
fullness	0.0422714
compounding	0.0422583
atherosclerosis	0.0422494
leptin	0.0422367
despondency	0.0422091
"liquidity problem"	0.0418825
responsiveness	0.0418275
foreplay	0.0416202
enrolment	0.0413693
compulsion	0.0413481
"service staff"	0.0412935
delinquency	0.0412354
sunburn	0.0412048
inflexibility	0.0411967
Guanajuato	0.0411059
Radon	0.0410398
dyslexia	0.0409264
elation	0.0408985
negativity	0.0408894
intoxication	0.0408668
RM@@.@@	0.0408088
malignancy	0.0407452
vibes	0.0407353
carcinogen	0.0407212
comeuppance	0.0405402
"connective tissue"	0.0404618
barbarity	0.0403306
discouragement	0.0401926
Bellush	0.0401532
disenchantment	0.0400825
))
(Arpaio (desc 1903.05) (sims
Ruthardt	0.109435
Verniero	0.10147
Klestil	0.100679
Ruehe	0.0977364
Quackenbush	0.0965452
Hallinan	0.0956204
Cianci	0.0919026
Westendorp	0.0892506
Keady	0.087543
Zeroual	0.0872472
Fiddes	0.0863808
Milbury	0.085963
Garcetti	0.0857811
Ghalib	0.0845198
Wilhelm	0.0832423
Shevardnadze	0.0795173
Symington	0.079499
Wenger	0.0793679
Bochco	0.0792778
Coelho	0.078955
Gutman	0.0770945
McCurry	0.0765042
Britton	0.0759135
Jovanovic	0.0758247
Imperatori	0.075218
Chuan	0.0749221
Glickman	0.0744828
Smaltz	0.0744739
Babbitt	0.0743123
Ciampi	0.0742797
Chretien	0.0741796
Kouchner	0.0733444
Kaye	0.0729133
Morgenthau	0.0726787
Gaffney	0.0722174
McCaffrey	0.0721957
Safir	0.0712413
Krasniqi	0.0711294
Gullit	0.0706766
Hevesi	0.0706721
Roh	0.0703905
Biggs	0.0701908
meatpackers	0.0692259
Galvin	0.0691521
Falater	0.0689176
Condon	0.0688464
Rylander	0.0686266
Sassa	0.0685982
Ramseys	0.0685425
Hobson	0.0685289
Djukanovic	0.068528
ROMNEY	0.06836
LANIER	0.0677921
"administration official"	0.067608
Baugh	0.0675247
"Bud Selig"	0.067512
Chappell	0.0665653
Bustamante	0.0664817
Maslyukov	0.0663684
McGuinness	0.0663291
Margolis	0.066196
Duffy	0.0658297
Trudeau	0.0658265
"Congressional Democrats"	0.0658151
"John Cornyn"	0.0656246
ama	0.0654053
Modise	0.0651393
Siegelman	0.0651383
Waxman	0.0649336
Holley	0.0649108
Carollo	0.0648512
Ebersol	0.0646562
Clifford	0.0644291
Cellucci	0.0642177
Vacco	0.0640769
Prabowo	0.0639094
Demps	0.0634074
Zarb	0.0631429
Moseley	0.0631166
Zambrano	0.0630104
Gephardt	0.0626814
Ozersky	0.0622709
Weizman	0.0622149
Vogel	0.0620844
Stoneman	0.0619939
Molinari	0.0619876
Thurmond	0.0617183
Nickerson	0.0615532
Halloran	0.0615366
Satcher	0.0615184
Bliley	0.0615103
Tudjman	0.0612508
Ruff	0.0610341
Goldin	0.0608916
Reiner	0.0607406
hodgson	0.0606353
Beilin	0.0605178
Sampson	0.060478
Shurmur	0.0604327
NYPD	0.0603871
Alioto	0.0603036
Donnan	0.0602694
Husseini	0.0602387
Ginsberg	0.0601705
Rudenstine	0.0598508
Bruton	0.0598184
Couric	0.0598154
Berisha	0.0597951
Kessler	0.0597729
Havel	0.0597296
Lamberth	0.0597143
"Orlando Mercado"	0.0596743
huff	0.0595895
Morales	0.0595639
Borodin	0.0593708
Engelberg	0.0591885
Hawke	0.0591522
"William S. Cohen"	0.0590842
Fagan	0.0590634
Suarez	0.0590572
Fassel	0.0590204
Donnelly	0.0590049
Kerasiotes	0.0589938
Gaynor	0.0589762
"Department of Corrections"	0.0589554
Fujimori	0.0589281
Cuomo	0.0587971
Soares	0.0587963
Jorgensen	0.0587456
Havelange	0.0586451
Whitman	0.0585484
Pryor	0.0585317
Estrada	0.0585283
Aliev	0.0584863
Portillo	0.0584306
"Amos Wako"	0.0584185
Harrick	0.0583691
Akayesu	0.0581884
Villar	0.0581522
Cornyn	0.0581283
Vallone	0.0580891
Machado	0.0580671
Dostum	0.0579537
"Peter Verniero"	0.0578618
Yoo	0.0576837
Jagger	0.0576716
Hanley	0.0576491
Connell	0.0574687
Lindland	0.0573293
Cremins	0.0573067
Edelstein	0.0571974
Meciar	0.0571764
Romer	0.0571036
Kraus	0.0569403
Nano	0.0569016
Mejia	0.0568516
Einhorn	0.0568196
Xiong	0.0568145
D'Alema	0.0568118
Wolfson	0.0567303
Draskovic	0.05666
"U.S. Defense Department"	0.0565488
Junger	0.0565424
Masire	0.0565338
Rubenstein	0.0565213
Hickman	0.0564717
Rossello	0.0564247
Sherrill	0.0564157
BLM	0.0564014
Turetzky	0.0563254
DERSHOWITZ	0.0563182
Moakley	0.0562853
Oppenheimer	0.0561835
Ickes	0.0561832
Flanagan	0.0560385
"Israeli Foreign Ministry"	0.0560374
Nemtsov	0.0560133
Bridgestone	0.0559667
Hauser	0.0558623
Aliotti	0.055761
"Dan Morales"	0.0557368
Simons	0.0556872
Reimer	0.0556557
Inhofe	0.0556467
Rawabdeh	0.055446
McGuire	0.0553898
Luethke	0.0553528
Selig	0.0553296
Kassirer	0.0552852
Muluzi	0.0552556
Rangel	0.0551378
"defense lawyers"	0.0551042
Lott	0.0550732
SHUSTER	0.0549791
Mudge	0.0549733
Winkler	0.054917
Constantinescu	0.0549042
Berger	0.0548542
Providian	0.0548309
fritz	0.0547934
))
(Arquette (desc 1893.08) (sims
Heche	0.0990474
"David Arquette"	0.0970523
Deneuve	0.0928078
Streep	0.0851962
Marceau	0.0765591
Winslet	0.075569
Jolie	0.0752713
Mucha	0.0747403
"Neve Campbell"	0.0733067
Sheedy	0.0707317
Duvall	0.0705462
"Janet Leigh"	0.0686901
Flockhart	0.0665131
Reiner	0.0653217
"Matthew Perry"	0.0642347
Marchand	0.0636071
Dench	0.0620079
Upshaw	0.0616415
"Salma Hayek"	0.0614742
Currier	0.0606756
Travolta	0.0598811
COYNE	0.0595815
Fiennes	0.0592929
Henning	0.0590218
McDonnell	0.0585669
Larch	0.0577969
Griffiths	0.057632
Midler	0.0575777
Barrymore	0.0567956
Jeffers	0.0565703
"Parker Posey"	0.0564423
Tomlin	0.0562465
Leigh	0.0561948
Lurie	0.0560433
Arron	0.0558305
Lockwood	0.0558148
LeFave	0.0556364
O'Hara	0.0541872
Bragg	0.0538014
Blanchett	0.053777
Abram	0.0534071
Travis	0.0529956
Pape	0.0529803
"Oliver Platt"	0.0528733
Judd	0.0528546
Briscoe	0.0528315
Hannah	0.0525372
Brazile	0.052295
Orton	0.052212
Markovic	0.052192
Kingsley	0.0520949
Zellweger	0.0519724
Paltrow	0.0518726
Bassett	0.0517631
Vogel	0.0514584
Liston	0.0512704
Witherspoon	0.0511798
Kurth	0.0509909
swank	0.0509853
Kusama	0.0509174
Hartman	0.0508853
Menchu	0.0508602
Tucci	0.0508288
Coppola	0.0508264
McFadden	0.0507582
Rivlin	0.0507087
Redgrave	0.0505803
"Sarah Michelle Gellar"	0.0503921
Garber	0.0496707
Portnoy	0.0496622
Hagen	0.0493457
Cline	0.049327
Wasserstein	0.0492413
Hecht	0.0488988
McKellen	0.0487148
Gaffney	0.0486779
Kidman	0.0482396
Sorensen	0.0481792
Scruggs	0.0480678
Soliah	0.0478128
Jaffe	0.04772
McPherson	0.0477019
Lipstadt	0.0476325
Pierson	0.0476226
Ricci	0.0473918
Mapes	0.0473544
Weil	0.0473479
Grunwald	0.0472322
Garvey	0.047138
Pearce	0.0469417
Berman	0.0468236
swain	0.0466063
Hartley	0.0465971
Portman	0.0465064
Cohn	0.0464429
Morley	0.0464375
Bacall	0.0462137
Bartoli	0.0461891
Karan	0.0454921
Pascal	0.0454633
Sills	0.0454047
Streisand	0.0453512
"Earl Spencer"	0.0451247
Ono	0.0449299
Chenoweth	0.044898
Carrey	0.0448457
"De Niro"	0.044805
Vasquez	0.0447204
Kirkpatrick	0.0447071
Roberson	0.0446101
JONAS	0.0444904
Webdale	0.044367
Bening	0.0442143
McCormack	0.0440234
Seligman	0.0440141
Theron	0.0440107
"Brooke Shields"	0.0439623
Slatkin	0.0439259
Stacy	0.0436952
Burgess	0.0436765
Jensen	0.0435747
Ryder	0.0435366
Ricart	0.0432904
Farber	0.0429951
Donnelly	0.0427521
Lydia	0.0427079
Greco	0.0426055
Sarandon	0.0425824
Duff	0.0425054
Reiter	0.0419961
Rupert	0.0419298
"Stanley Tucci"	0.0418971
Jamison	0.0417398
Baer	0.0417276
DeVito	0.0416142
Rowling	0.0416038
Falater	0.0415545
Ivey	0.0412852
Wahlberg	0.0408676
Molinari	0.0408116
Huffington	0.0406337
Moscoso	0.0403655
Kaufman	0.0403205
Dion	0.040238
Woodard	0.0402349
Fay	0.0401544
Byrne	0.0401144
))
(arraignment (desc 12089.6) (sims
hearing	0.156677
sentencing	0.0944443
retrial	0.0860306
liftoff	0.0809828
verdict	0.0775225
Acquittal	0.0749631
court-martial	0.0726367
weigh-in	0.0725631
proceeding	0.0720987
adjournment	0.0714109
"board meeting"	0.0690197
questioning	0.0633649
indictment	0.0626106
bail	0.062164
"news conference"	0.0615697
"council meeting"	0.061549
extradition	0.060294
"International AIDS Conference"	0.0576315
"statute of limitations"	0.0569983
"press conference"	0.0565173
inauguration	0.0564505
"committee meeting"	0.0561466
deposition	0.0561349
mistrial	0.055604
balloting	0.0546746
taping	0.0546721
briefing	0.0545199
plea	0.0544731
"practice session"	0.0543783
interrogation	0.0539928
deportation	0.0520009
expiration	0.0514829
launching	0.0512611
filing	0.0510711
unveiling	0.0505333
caucus	0.0501296
swearing-in	0.0501155
jury	0.0499687
workout	0.049166
injunction	0.048273
"medical examination"	0.0481583
"day of reckoning"	0.0469093
"general election"	0.0467807
"press briefing"	0.0466948
fund-raiser	0.0462634
"World AIDS Conference"	0.0458581
"town meeting"	0.0456044
shootaround	0.0454428
"bankruptcy protection"	0.0453073
induction	0.0445837
"grand jury"	0.0442297
handover	0.0437486
luncheon	0.0434734
"prayer service"	0.0430739
reopening	0.0429682
referendum	0.0428418
beatification	0.0427614
walk-through	0.0424148
"World Food Summit"	0.0421926
debriefing	0.0421359
"high court"	0.0418518
cross-examination	0.0414005
fact-finding	0.0412447
"superior court"	0.0409793
runoff	0.0400251
))
(arrangement (desc 113205) (sims
agreement	0.17282
deal	0.149858
plan	0.143758
procedure	0.142502
mechanism	0.141432
pact	0.135313
proposal	0.128262
partnership	0.127194
settlement	0.125085
policy	0.124765
accord	0.124626
program	0.123768
timetable	0.121581
scheme	0.119601
measure	0.119066
strategy	0.118258
cooperation	0.117423
initiative	0.11688
provision	0.115739
Treaty	0.114328
framework	0.113246
method	0.112807
contract	0.111893
negotiation	0.111521
structure	0.11141
relationship	0.110886
regulation	0.110614
system	0.110096
preparation	0.109669
package	0.109565
process	0.109416
Formula	0.108004
guideline	0.107927
compromise	0.105217
requirement	0.104989
reform	0.104283
Implementation	0.103586
legislation	0.102748
protocol	0.101408
transaction	0.101044
rule	0.10054
approach	0.100116
condition	0.0988504
law	0.0987836
solution	0.0983628
withdrawal	0.0978199
merger	0.0973411
status	0.0971126
"peace treaty"	0.0971104
project	0.0970612
modality	0.0959941
restriction	0.0957996
cease-fire	0.0956451
activity	0.0955729
decision	0.0949597
"trade agreement"	0.0948497
issue	0.0944056
development	0.0937462
situation	0.0936553
resolution	0.0926376
agenda	0.0924638
relation	0.0919147
transfer	0.0916083
Alliance	0.090946
security	0.0907242
effort	0.0901745
operation	0.0901558
change	0.0897123
guarantee	0.0894424
action	0.0894392
schedule	0.0893661
principle	0.089239
peace	0.0886164
financing	0.088531
matter	0.0885191
concept	0.0881582
service	0.0881539
payment	0.0876826
funding	0.0870803
management	0.0865166
detail	0.0864562
assistance	0.0863722
allocation	0.0861792
deployment	0.0861179
document	0.0860944
design	0.0860093
aspect	0.085949
trade	0.0855727
talk	0.0855624
reduction	0.0854441
expansion	0.085178
planning	0.0850291
term	0.0849303
bill	0.0847173
establishment	0.0846924
offer	0.0843983
use	0.0843199
discussion	0.0841336
standard	0.0835638
commitment	0.0834991
exchange	0.0832167
composition	0.0826442
ban	0.0826255
practice	0.0823486
move	0.0823129
recommendation	0.082079
integration	0.081978
role	0.0818017
coordination	0.0817485
ceasefire	0.0817078
incentive	0.0816787
option	0.0813587
facility	0.0811414
loan	0.0810618
dialogue	0.0809569
revision	0.0808653
fee	0.0806476
code	0.0805585
exemption	0.0803486
clause	0.0800305
technique	0.0799261
Promotion	0.0799026
concession	0.0798589
truce	0.0795941
amendment	0.0794634
criteria	0.0794355
participation	0.079068
extension	0.0789403
idea	0.0787515
application	0.0786733
protection	0.0783819
"economic policy"	0.0780562
consultation	0.07771
quota	0.0776228
"joint venture"	0.0775541
bailout	0.0775157
request	0.077411
problem	0.077389
contact	0.0773666
redeployment	0.0773358
formation	0.0773078
tactic	0.0772699
distribution	0.0768233
obligation	0.0767821
step	0.0767536
memorandum	0.0766972
appointment	0.0765995
outcome	0.076472
budget	0.0764434
progress	0.0763377
subsidy	0.076302
objective	0.0758527
work	0.0757318
mandate	0.0757225
understanding	0.0756681
environment	0.0756195
intervention	0.0755805
presence	0.0754421
position	0.0752789
fund	0.0750394
Liberalization	0.0747176
tariff	0.0746573
pullback	0.0745977
investment	0.0741811
purchase	0.0741659
benefit	0.0740481
supervision	0.0739477
construction	0.0739243
exercise	0.0738867
resumption	0.0738115
stability	0.0737119
form	0.0735977
treatment	0.0735901
swap	0.0735002
blueprint	0.0734248
adjustment	0.0734107
scenario	0.0734101
compensation	0.0733059
need	0.0730689
control	0.072797
"security measures"	0.0727213
collaboration	0.0727018
"tax cut"	0.0726054
tie	0.0723508
acquisition	0.0722747
inspection	0.0721582
sanction	0.0719655
sharing	0.0719445
Declaration	0.0718622
dispute	0.0718537
timing	0.0718485
lease	0.0718224
registration	0.0717553
pattern	0.0716423
definition	0.0714944
Privatization	0.0713362
means	0.0711567
access	0.0711567
aid	0.0710755
directive	0.0710628
))
(arranger (desc 4962.56) (sims
instrumentalist	0.178155
lyricist	0.152418
pianist	0.148522
vocalist	0.148504
bandleader	0.145826
percussionist	0.13966
guitarist	0.138348
organist	0.132869
songwriter	0.128224
violinist	0.128211
conductor	0.1275
composer	0.126527
keyboardist	0.122241
musicologist	0.120226
accompanist	0.117698
trumpeter	0.117287
cinematographer	0.116766
flutist	0.114825
"piano player"	0.114735
soloist	0.11327
clarinetist	0.105733
saxophonist	0.10554
drummer	0.105505
singer	0.102448
bassist	0.0996462
musician	0.0981222
"music director"	0.0912981
co-producer	0.0881332
Playwright	0.0879839
"volleyball player"	0.0873133
choreographer	0.0867533
dramatist	0.0830788
cellist	0.0825547
"disc jockey"	0.0810655
"talent scout"	0.0808727
virtuoso	0.0798776
"music teacher"	0.0794458
sextet	0.0791992
"stage director"	0.077689
raconteur	0.077247
screenwriter	0.0764647
"stage manager"	0.0762546
poet	0.0758495
"Tito Puente"	0.0751507
painter	0.0742534
librettist	0.0741734
"character actor"	0.0739565
"newspaper editor"	0.0733394
"art director"	0.0732924
rapper	0.0722352
essayist	0.0714571
"guitar player"	0.0712316
"sounding board"	0.0703262
juggler	0.0695588
impresario	0.0693759
"good person"	0.067865
aficionado	0.0672514
newspaperman	0.0671662
"movie star"	0.0661453
"film star"	0.0659536
filmmakers	0.0653216
novelist	0.0650444
co-writer	0.065032
"guardian angel"	0.0639392
comedian	0.0627097
pallbearer	0.0618977
"public speaker"	0.061829
"leading lady"	0.0615238
translator	0.0613752
educator	0.0613177
"Quincy Jones"	0.0607699
linguist	0.0604619
interpreter	0.0595299
"talent agent"	0.0594815
orator	0.0587012
"ballet dancer"	0.0586573
"hockey player"	0.0586052
"Andre Previn"	0.0585147
motivator	0.0582992
chronicler	0.0580586
co-creator	0.0579699
storyteller	0.0575993
puppeteer	0.0574985
illustrator	0.0572285
"important person"	0.0561415
innovator	0.0559062
gadfly	0.0552432
thinker	0.0551123
batboy	0.0549433
filmmaker	0.0547916
exponent	0.0546126
"altar boy"	0.0545894
acrobat	0.0542578
"disk jockey"	0.0541383
ensemble	0.0541143
deejays	0.053944
Litigator	0.0536012
stylist	0.0535775
"reference point"	0.0531837
restorer	0.053178
immortal	0.0529846
visionary	0.0527448
"press agent"	0.0526828
tactician	0.052135
"guiding light"	0.0519565
"fall guy"	0.0519451
lexicographer	0.0519429
"young actress"	0.0519309
decorator	0.0517453
singer-songwriters	0.0512765
"fashion designer"	0.0511341
"reference book"	0.0511232
co-director	0.0510289
"jazz musician"	0.0509154
announcer	0.0509065
troubleshooter	0.0507533
moviemakers	0.050518
miler	0.0504633
"safety valve"	0.0504559
"front man"	0.050447
"hard worker"	0.0503303
publicist	0.0503254
philanthropist	0.0502502
"fashion model"	0.0494196
"big leaguer"	0.0494051
"whipping boy"	0.0493071
ballerina	0.0491087
cabinetmaker	0.0489298
"baseball player"	0.0489097
entertainer	0.0487515
meccas	0.0485775
copywriter	0.0485062
individualist	0.0483397
swinger	0.0482221
initiator	0.0481944
collaborator	0.0481115
"second person"	0.0479527
"film producer"	0.047947
commentator	0.0479314
"Diana Krall"	0.0478295
"traffic cop"	0.0477621
bigwig	0.047656
philosopher	0.0476271
connoisseur	0.0476244
"costume designer"	0.0475594
guidepost	0.0474133
theologian	0.0471847
fiddler	0.0471309
"landscape architect"	0.0470976
underwriter	0.0468803
"folk singer"	0.046858
"exotic dancer"	0.046826
communicator	0.0467955
recluse	0.0466319
tenor	0.0466123
arbiter	0.0463709
showman	0.046327
"Stephen Sondheim"	0.0463039
healer	0.0462944
"Annie Get Your Gun"	0.0460206
"Robert Shaw"	0.0459724
"literary agent"	0.0459221
presenter	0.0458767
humorist	0.0458303
"public servant"	0.0457786
matchmaker	0.0455045
"New Democrat"	0.0454007
rebounders	0.0451458
curmudgeon	0.0450341
archivist	0.0450157
"lead underwriter"	0.0450107
stuntman	0.0449935
theorist	0.0449556
folklorist	0.0449289
"No. @s"	0.0449018
"newspaper publisher"	0.0447746
curator	0.0447128
mouthpiece	0.0446576
"chess player"	0.0445769
"opera star"	0.0443921
reviewer	0.044308
"battering ram"	0.0442955
sportswriter	0.0442765
breadwinner	0.0442121
"English teacher"	0.0441115
punchline	0.044097
"investment adviser"	0.0440674
DJ	0.0439983
crooner	0.0439806
cofounder	0.043931
instigator	0.0439292
insulator	0.0439259
"chairman emeritus"	0.043808
bloomer	0.0438003
Deacon	0.0437945
"football coach"	0.0437297
"attack dog"	0.0436148
"test pilot"	0.0435121
D.J	0.0434149
paralegal	0.0433247
))
(arranging (desc 7373.61) (sims
readying	0.0436333
))
(array (desc 55586.9) (sims
assortment	0.142767
variety	0.141872
panoply	0.107561
range	0.105726
collection	0.101769
multitude	0.100436
plethora	0.100126
mix	0.099271
kind	0.0988915
type	0.0959885
myriad	0.0923468
plenty	0.0905927
number	0.0883721
slew	0.0858928
combination	0.0840853
trove	0.0826209
list	0.0817315
dozen	0.081629
smorgasbord	0.0811244
some	0.0802778
handful	0.0794492
display	0.0792827
sort	0.0790391
lot	0.075261
"large number"	0.0745631
abundance	0.0744888
selection	0.072727
welter	0.0724825
profusion	0.0722579
series	0.0716695
Proliferation	0.0707276
spectrum	0.0707007
assemblage	0.0706498
hundred	0.0704484
breadth	0.0703847
hodgepodge	0.0696992
menu	0.0696239
package	0.068935
"cross section"	0.0670858
wealth	0.066577
aspect	0.066403
host	0.0660449
technology	0.0659615
version	0.0658513
many	0.065749
blend	0.0655865
catalog	0.0653169
any	0.064885
diversity	0.0644602
piece	0.0641726
design	0.0641469
quality	0.0637529
thousand	0.0635201
availability	0.0634453
string	0.0633586
raft	0.0630783
system	0.0626935
image	0.062693
amount	0.0624796
"treasure trove"	0.0624144
device	0.0616723
database	0.0616408
creation	0.06145
description	0.0610752
repertoire	0.0609047
litany	0.0608068
network	0.0607739
equipment	0.0606631
bundle	0.0604855
several	0.0604155
Maze	0.0598635
installation	0.0597612
Compendium	0.0595604
content	0.0595511
feature	0.0594726
scope	0.0594426
paucity	0.0594185
ability	0.058747
sampling	0.0584651
lack	0.0583034
element	0.0582433
cornucopia	0.0582361
palette	0.0581839
stack	0.0581432
possibility	0.0579043
Convergence	0.0572744
expansion	0.0572616
dearth	0.0570846
pair	0.057025
complexity	0.0570139
barrage	0.0568874
product	0.0568589
patchwork	0.0568542
knowledge	0.0568265
introduction	0.056797
cluster	0.0565995
quantity	0.0563626
worth	0.0562519
generation	0.0562295
sequence	0.0562165
talent	0.0559932
technique	0.0558944
"cast of characters"	0.0558891
photograph	0.0558857
software	0.0556476
item	0.0554043
idea	0.0553645
analysis	0.0551804
sale	0.055169
picture	0.0551611
cache	0.0551608
detail	0.0551284
capability	0.0549237
bunch	0.0548946
stream	0.0548877
confluence	0.0548241
flurry	0.054734
distribution	0.0546754
mosaic	0.0545331
pattern	0.0544784
development	0.054462
effectiveness	0.0541374
evidence	0.0540031
bevy	0.0539895
box	0.0539232
success	0.0538849
structure	0.0538764
batch	0.0538027
jumble	0.0537422
concept	0.0536319
supply	0.0535562
Arsenal	0.0535098
battery	0.0534451
hardware	0.0534067
vision	0.0532767
load	0.0532474
gamut	0.0532425
collage	0.0531448
component	0.0530645
inventory	0.0530639
compilation	0.0529408
brand	0.0527572
portfolio	0.0525859
Computer	0.0525752
application	0.0524519
"New Wave"	0.052428
roster	0.0524231
overview	0.052322
model	0.0522609
size	0.0520974
swirl	0.0518516
coverage	0.0516426
resource	0.0516062
placement	0.0515667
exhibit	0.0515595
tangle	0.0515388
popularity	0.0515017
sense	0.0512767
video	0.0512334
instrument	0.051188
copy	0.0511673
ream	0.0509056
innovation	0.0508257
wave	0.0508225
material	0.0507892
potential	0.0507281
graphics	0.0504905
nature	0.0504665
improvement	0.0504002
choice	0.050318
manufacturer	0.050291
machine	0.050099
couple	0.0500949
pile	0.050048
supplier	0.0498477
category	0.0497942
offering	0.049705
expertise	0.0496971
search	0.0496136
pool	0.0495185
lineup	0.0495089
personality	0.0494823
manner	0.0494567
"special effect"	0.049415
portion	0.0493104
strategy	0.0492873
beauty	0.0492611
strength	0.0492468
montage	0.0492366
example	0.0491529
understanding	0.0490798
dish	0.048995
spectacle	0.0489034
photo	0.0488507
data	0.0487991
interpretation	0.0487604
performance	0.0487266
"new line"	0.0486948
examination	0.0484992
style	0.048488
))
(arrears (desc 17082) (sims
debt	0.158529
"financial obligation"	0.13785
payment	0.125557
"interest payment"	0.124813
"debt service"	0.124513
wage	0.104025
repayment	0.099838
pension	0.0985563
"bank debt"	0.097033
"child support"	0.0961019
instalment	0.0943665
due	0.0942774
loan	0.0935799
"legal fee"	0.0918718
"bad debt"	0.0871108
tax	0.0861326
indebtedness	0.0858885
saving	0.0858524
subsidy	0.0853455
"income tax"	0.0844248
refund	0.0840482
default	0.0836592
obligation	0.0823195
bonus	0.0822113
FDI	0.080729
rent	0.0804887
"debt payment"	0.080401
"tax revenue"	0.0803606
sum	0.08002
allowance	0.0795381
deposit	0.0794931
"trade deficit"	0.0792759
compensation	0.0791534
salary	0.0786067
"medical bill"	0.0769559
expenditure	0.0763954
"budget deficit"	0.0762497
"property tax"	0.0762439
receipt	0.0756019
liability	0.0751034
Eurobonds	0.074834
fee	0.0747591
servicing	0.0745494
backlog	0.0744961
indemnity	0.0733405
Ransom	0.073057
"operating cost"	0.0727709
"financial loss"	0.072598
revenue	0.0724305
surplus	0.071828
deficit	0.0711399
"nearly $@ billion"	0.0702691
"parking ticket"	0.0699973
dividend	0.0694484
"operating expenses"	0.0692129
equity	0.0688451
shortfall	0.0687393
installment	0.0686577
income	0.068469
overpayment	0.068259
financing	0.0681596
"insurance premium"	0.0678603
contribution	0.0677929
amount	0.0671462
reduction	0.0667469
increment	0.0666593
"retirement benefit"	0.0663792
remittance	0.0658067
restitution	0.0657809
borrowing	0.0650073
"bank deposit"	0.0645066
write-off	0.0644602
funding	0.0642684
"cash bonus"	0.0642165
asset	0.0641109
outlay	0.064032
expense	0.0634138
stipend	0.0633983
royalty	0.0630238
nonpayment	0.0629507
NPLs	0.062526
mortgage	0.0619271
"debt problem"	0.0619004
lending	0.0618612
"trade surplus"	0.0615495
"net income"	0.0613763
"prize money"	0.0611764
reimbursement	0.061117
"foreign direct investment"	0.0606228
"Treasury bill"	0.060399
spending	0.0601651
"preferred stock"	0.0599554
rebate	0.0598426
"insurance claim"	0.0597797
"telephone bill"	0.0597037
"gross income"	0.0595965
"non-performing loans"	0.059594
inflow	0.0595698
"capital investments"	0.0591864
gratuity	0.0591045
allocation	0.0589637
"Social Security benefit"	0.0583558
capitalization	0.0583174
"budget cut"	0.0581803
"financial aid"	0.0581582
appropriation	0.0580852
"capital expenditure"	0.0579394
"spending cut"	0.0578685
"nearly $@@@,@@@"	0.0577779
"net profit"	0.0576236
"tax bill"	0.0570659
burden	0.0569047
"tax credit"	0.0568226
payouts	0.0567109
deductibility	0.0566079
deduction	0.0564534
"nearly $@@,@@@"	0.0557755
"debt issue"	0.0557298
imbalance	0.0557223
"tax break"	0.0555481
overdraft	0.0553063
reparation	0.0552995
"tax collection"	0.0551607
disbursement	0.0550992
"foreign exchange"	0.0547221
alimony	0.0544984
earnings	0.0542796
bribe	0.0542659
GDP	0.0541263
"cost overrun"	0.053927
Tuition	0.0538867
"tax liability"	0.0533878
proceeds	0.0532571
kickback	0.0531924
tranche	0.0531515
premium	0.0529926
"debt load"	0.052263
outflow	0.0519798
"capital stock"	0.051822
severance	0.0517541
turnover	0.0514541
principal	0.0513359
"bond issue"	0.0511032
"sales tax"	0.0510586
donation	0.0508806
"nearly $@,@@@"	0.0507672
"working capital"	0.0506689
"capital gain"	0.0506662
hike	0.0506144
inequality	0.0505136
"estate tax"	0.0502593
"gross national product"	0.049636
creditor	0.0494327
"Official Development Assistance"	0.0493982
"billion dollars"	0.0492972
ruble	0.0488806
"import duty"	0.0488536
"over $@@ million"	0.0488368
adjustment	0.0486858
"cash payment"	0.0485922
tranches	0.0484349
rescheduling	0.0483544
wealth	0.0481674
"customs duty"	0.0480373
transaction	0.0479865
"retail sale"	0.0478877
"production cost"	0.0478667
"trust fund"	0.0478021
"interest expense"	0.0476238
disparity	0.0475977
"reserve fund"	0.0475832
"about $@.@ billion"	0.0475264
"pay raise"	0.0474742
"phone bill"	0.0474003
"purchase price"	0.047369
"junk bond"	0.0473115
caseload	0.0472369
GNP	0.0472116
"job cut"	0.0470683
"trade balance"	0.0469022
deferral	0.0468401
billing	0.0468212
"amount of money"	0.0466077
insurance	0.0463083
payout	0.0461655
added-value	0.0459297
"market value"	0.0459244
lieu	0.0458042
"about $@@@,@@@"	0.0457504
"labor force"	0.0457126
"credit line"	0.0456992
debenture	0.04568
savings	0.0456749
penalty	0.0456516
paycheck	0.0456285
"personal income"	0.0456189
"national income"	0.0456138
"face value"	0.0455764
joblessness	0.0454944
inflation	0.0453909
))
(arrest (desc 121701) (sims
detention	0.212753
killing	0.182441
capture	0.161897
Death	0.159501
conviction	0.157997
incident	0.155431
prosecution	0.153055
slaying	0.152812
extradition	0.144696
murder	0.144641
indictment	0.14435
raid	0.143823
Dismissal	0.142887
shooting	0.141925
expulsion	0.140908
Execution	0.140057
release	0.139634
seizure	0.139454
abduction	0.13938
attack	0.139241
kidnapping	0.137238
bombing	0.135472
assassination	0.132848
investigation	0.130423
massacre	0.130239
harassment	0.130025
trial	0.130013
resignation	0.129289
deportation	0.127843
accident	0.123565
firing	0.122905
disappearance	0.121911
imprisonment	0.121435
crash	0.118192
beating	0.115924
jailing	0.115495
violence	0.112118
action	0.111702
assault	0.109131
decision	0.107858
abuse	0.106878
torture	0.106383
crime	0.106154
case	0.105183
crackdown	0.105025
explosion	0.104849
coup	0.104295
interrogation	0.103897
persecution	0.10326
Acquittal	0.102917
rape	0.102849
departure	0.101352
sentence	0.10089
suspension	0.100834
strike	0.100357
ouster	0.100331
allegation	0.10032
ruling	0.100091
lawsuit	0.0998673
violation	0.099326
charge	0.099247
arrival	0.0990614
suicide	0.0988461
robbery	0.098453
defection	0.0981617
verdict	0.0971529
theft	0.0965228
announcement	0.0962098
closure	0.0955095
punishment	0.0947424
appointment	0.0945543
removal	0.0926815
failure	0.092203
"house arrest"	0.0916217
riot	0.0912857
whereabouts	0.0907109
involvement	0.0900873
activity	0.0896072
custody	0.0894566
questioning	0.0888257
disclosure	0.0887354
injury	0.0886656
hijacking	0.0886385
move	0.0885523
scandal	0.0883075
accusation	0.0879976
invasion	0.087256
destruction	0.086827
layoff	0.0867418
takeover	0.0863675
collapse	0.086276
cancellation	0.0862754
election	0.0859731
clash	0.0858175
withdrawal	0.0855042
behavior	0.0853153
visit	0.0851867
tragedy	0.0845605
atrocity	0.0844483
plea	0.0843975
illness	0.0843345
presence	0.084131
outbreak	0.0838607
intervention	0.083785
test	0.0836515
threat	0.0832933
divorce	0.0829488
search	0.082791
treatment	0.0826487
fire	0.0822121
unrest	0.0819191
demonstration	0.081555
sacking	0.0814337
delay	0.08094
attempt	0.0806669
hearing	0.0804315
loss	0.0803803
intimidation	0.0802331
deployment	0.0800475
inquiry	0.0799391
meeting	0.0795686
protest	0.0794793
discovery	0.0794284
complaint	0.0793639
blast	0.0791723
homicide	0.0787743
confiscation	0.0785148
"heart attack"	0.0784215
looting	0.0783104
casualty	0.0782474
change	0.0780493
comment	0.0779945
"death penalty"	0.0775027
misconduct	0.0773354
ban	0.0773148
war	0.0771013
vandalism	0.0769848
leak	0.0769843
report	0.0769102
confession	0.0768852
statement	0.0768784
incarceration	0.0768271
testimony	0.0763735
launch	0.0762814
fatality	0.076239
refusal	0.0761717
burglary	0.0761158
disaster	0.075963
disturbance	0.0754713
operation	0.0754541
"bomb blast"	0.0754404
"military action"	0.0753844
genocide	0.0753724
rejection	0.0753233
surveillance	0.0752591
fraud	0.0752303
remark	0.0751744
brutality	0.0751665
repression	0.0751039
signing	0.0750273
conduct	0.0749696
act	0.0748356
arson	0.0746693
claim	0.0746576
eviction	0.0746091
corruption	0.0742169
evacuation	0.0741554
transfer	0.0740758
damage	0.0740746
reshuffle	0.0740385
mistreatment	0.0738194
request	0.0732576
postponement	0.0731564
airstrikes	0.0731029
return	0.0730733
"sexual assault"	0.0729752
sanction	0.0725944
"prison term"	0.0725759
penalty	0.0724714
earthquake	0.0721322
"legal action"	0.0720103
devaluation	0.0719161
fate	0.0718153
shutdown	0.0717957
appearance	0.0717751
escape	0.0717352
breakdown	0.0714816
incursion	0.0713275
finding	0.0711786
event	0.0709956
problem	0.0708272
suspect	0.0707282
Quake	0.0705002
bankruptcy	0.0704141
recall	0.0701434
impeachment	0.0700526
agreement	0.06993
birth	0.0698097
crisis	0.0697414
subpoena	0.0696878
))
("arrest warrant" (desc 13604.1) (sims
warrant	0.236547
"search warrant"	0.118219
indictment	0.115304
subpoena	0.11469
"charge sheet"	0.109368
summons	0.10928
injunction	0.0965854
"prison term"	0.0770103
petition	0.067296
"death penalty"	0.0672116
conviction	0.0665224
affidavit	0.0663217
citation	0.065429
"work permit"	0.0650376
"prison sentence"	0.0640442
manhunt	0.0639974
ultimatum	0.0638756
"murder charge"	0.0638384
bail	0.0634018
"identity card"	0.0632939
proceeding	0.062929
amnesty	0.0618892
"purchase order"	0.0618887
"legal action"	0.0597582
decree	0.0581454
prosecution	0.0577959
fatwa	0.0574796
verdict	0.0572531
"death warrant"	0.0567845
lawsuit	0.0563862
visa	0.0555222
"fraud charge"	0.0553305
extradition	0.0548925
"building permit"	0.0534404
plea	0.053077
licence	0.0524824
"legal proceeding"	0.0520306
passport	0.0519708
"proxy statement"	0.0506951
"libel suit"	0.0503951
"stay of execution"	0.0501254
pardon	0.0491561
imprisonment	0.0486013
"summary judgment"	0.0484548
judgment	0.0482903
patent	0.0478954
prospectus	0.0475515
edict	0.0475177
Acquittal	0.047214
"probable cause"	0.0470054
directive	0.0466969
"driver's license"	0.0463314
punishment	0.0458016
"statute of limitations"	0.0457711
writ	0.044939
immunity	0.0445035
"Central Bureau of Investigation"	0.0441822
notification	0.044167
"murder conviction"	0.0440253
mistrial	0.0439961
retrial	0.0439935
"letter of credit"	0.0438752
tribunal	0.0438081
parole	0.0435733
Lien	0.0435466
certificate	0.0434181
"legal representation"	0.0430837
asylum	0.0428537
"American plan"	0.0426745
wiretap	0.0424645
proclamation	0.0423316
"official document"	0.0422234
leniency	0.0419033
"white paper"	0.0416585
"marriage license"	0.0416145
communique	0.0415178
Magistrate	0.0415034
"finding of fact"	0.0413563
referral	0.0413473
"legal document"	0.0408961
"fishing license"	0.0408813
memorandum	0.040498
"battle plan"	0.0400888
"job offer"	0.0400388
))
(arrested (desc 1392.6) (sims
Kalejs	0.139051
killed	0.138947
"Xanana Gusmao"	0.118987
Baumhammers	0.114087
detainee	0.11277
Kaunda	0.10927
Mikhailov	0.108618
Swango	0.0999411
"Iranian Jews"	0.0978037
deceased	0.0971033
Resendez-Ramirez	0.091603
whom	0.0900786
Mattysse	0.0895532
"Maturino Resendez"	0.0864315
Haouari	0.0857049
Cavallo	0.0855429
Shipman	0.085506
Kiareldeen	0.083453
"Rafael Resendez-Ramirez"	0.0829914
Ntakirutimana	0.0825508
starts.	0.0824675
occupant	0.0824211
"crew member"	0.0814813
Soliah	0.0808508
"first seven"	0.080489
Babitsky	0.0796588
Ahmed	0.0788306
escapee	0.0784344
deportee	0.0773168
hostage-takers	0.0768099
"Le Kha Phieu"	0.0759542
Hage	0.0758163
illegals	0.0752524
attacker	0.0749706
quarterfinalists	0.0744215
"Ta Mok"	0.0744127
al-Megrahi	0.0739444
Priebke	0.0738121
Giacchetto	0.0736543
"Moshood Abiola"	0.073224
"Foday Sankoh"	0.0724264
octuplets	0.0718185
"Carlos Salinas"	0.0708675
Kazhegeldin	0.0708377
assailant	0.0708008
crewmen	0.0698701
Talebi	0.0693942
Ressam	0.0690523
"Maturino Resendiz"	0.069004
Hijacker	0.0683271
Buthelezi	0.0679666
signer	0.067772
furrow	0.0670773
"Ansumane Mane"	0.0669019
kidnapper	0.0663434
"dead person"	0.0663112
Salim	0.0660439
par-@s	0.0660037
Lazarenko	0.0658262
"Richard Jewell"	0.0658086
Figueroa	0.0657077
Villanueva	0.0651382
"Wolfgang Schaeuble"	0.0644389
"first eight"	0.0641289
Hamid	0.0640227
Kimeses	0.063865
complainant	0.0637362
Ibrahim	0.0631475
Hensley	0.0624754
Demjanjuk	0.0623775
Imperatori	0.0618803
"Russell Peeler"	0.0617866
Neulander	0.0617731
"Bin Laden"	0.0615671
Mehmet	0.0606468
Blackthorne	0.0605697
stowaway	0.0601977
returnees	0.0595764
Gusinsky	0.0594235
"other five"	0.059207
"Tom Welch"	0.0591698
Mitnick	0.059073
co-chairs	0.0588852
"Sheikh Ahmed Yassin"	0.0586168
Ghani	0.0582826
"De Klerk"	0.0579677
Lawler	0.0576777
Carruth	0.0575336
Ershad	0.05753
Stealers	0.0574814
Ummi	0.0569176
twenty-eight	0.0568887
"first six"	0.05681
Barton	0.0566264
Alves	0.0562303
abductor	0.0558019
"other four"	0.0556282
shipmate	0.0555203
centenarian	0.0552019
Dokmanovic	0.05516
"Radovan Karadzic"	0.0549903
"Michael Skakel"	0.0547602
Stayner	0.0546556
Kopp	0.0545566
Meston	0.0544761
"Iraqi POWs"	0.054455
guardsmen	0.0544209
"Eric Robert Rudolph"	0.054413
"Rae Carruth"	0.0542317
Abiola	0.0539012
Sarsour	0.0537979
"Nur Misuari"	0.0536671
Berenson	0.0536341
"Abdullah Ocalan"	0.0531346
"Wang Dan"	0.0530199
RUC	0.052717
interviewee	0.0525197
Krajisnik	0.0523671
"first nine"	0.0523671
submariner	0.0521971
inductees	0.0521506
Hiett	0.0519894
"Bernie Ecclestone"	0.0519809
"Del Toro"	0.0515668
Meskini	0.051517
Blanton	0.051514
"Lawrence Russell Brewer"	0.0512813
"Xu Wenli"	0.0512672
"Khaleda Zia"	0.0507771
"Madalyn Murray O'Hair"	0.0507025
Agca	0.0506871
"Vladimiro Montesinos"	0.0505435
Nkabinde	0.0504925
"Australian Olympic Committee"	0.0501956
Trevi	0.0499956
"last @@ points"	0.0499695
"Dinko Sakic"	0.0498056
"El Hage"	0.0497016
"Sri Lankans"	0.049699
"Osman Ali Atto"	0.0496391
MiG-@@s	0.0496264
"Bank of Italy"	0.0496201
"George Speight"	0.0495551
schoolmate	0.0494745
"previous @@ years"	0.0493596
ex-convicts	0.0492436
"seeded player"	0.0492326
"Billy Payne"	0.0492032
"Baby Bells"	0.0491678
Prabowo	0.049126
Lacresha	0.0489085
"next four"	0.0487609
Englishmen	0.0486952
"Monetary Policy Committee"	0.0486862
"Begum Khaleda Zia"	0.0484931
"next six"	0.0484714
"Khieu Samphan"	0.0482993
accuser	0.0482534
attendees	0.0482419
"first CD"	0.0482345
Gauthe	0.048125
"murder suspect"	0.0480016
Benex	0.0479484
Sakic	0.0478788
"Ayatollah Khomeini"	0.0476608
"Eric Rudolph"	0.0476015
"Iranian POWs"	0.0475819
deserter	0.0474897
Merlino	0.0472093
"David Duke"	0.0469887
"Richie Phillips"	0.0469715
Nikitin	0.046834
Twenty-five	0.0468254
twenty-four	0.0467728
crewmembers	0.0466173
Kennelly	0.0465985
Yassin	0.0465926
Mladic	0.0464197
Gurule	0.0463425
"Cary Stayner"	0.0463286
Ukrainians	0.0461665
Wahhabis	0.0461065
"William Hague"	0.0460635
"food company"	0.0459185
trespasser	0.0458971
Campos	0.0458832
VMs	0.0458738
"Lino Oviedo"	0.0458447
Piggie	0.0457391
games.	0.0456271
Barrionuevo	0.0454223
Krstic	0.0452115
Cyrus	0.0451457
Laudor	0.0451437
Lileikis	0.0449882
"Roosevelt Johnson"	0.044888
"Sali Berisha"	0.0448308
Chu	0.0447498
Francois	0.0447047
Lissouba	0.0446517
))
(arrhythmia (desc 2751.13) (sims
fibrillation	0.209484
"congestive heart failure"	0.185564
"liver disease"	0.171855
"heat exhaustion"	0.155951
"blood clot"	0.151251
dehydration	0.146956
"heart failure"	0.144357
"heart condition"	0.133589
hemorrhage	0.132613
hypertension	0.130893
"Parkinson's disease"	0.129642
"brain tumor"	0.121004
apnea	0.119277
aneurysm	0.118988
"heart attack"	0.116103
palpitation	0.115674
ailment	0.113805
"multiple sclerosis"	0.113291
dementia	0.11292
"kidney disease"	0.112694
Meningitis	0.111119
anemia	0.107784
emphysema	0.104438
ADHD	0.104354
"lung cancer"	0.103419
Osteoporosis	0.102931
lymphoma	0.10217
"chest pain"	0.101042
"colon cancer"	0.100553
disorder	0.100381
autism	0.0996539
"asthma attack"	0.0987684
CJD	0.0966621
narcolepsy	0.0965829
botulism	0.0963549
"dengue fever"	0.0960468
"heart disease"	0.0958112
gastroenteritis	0.095803
suffocation	0.0949235
"respiratory disease"	0.0947458
encephalitis	0.0946247
nearsightedness	0.0943494
cirrhosis	0.0938753
"skin cancer"	0.0936148
angina	0.0935401
pneumonia	0.0933755
asthma	0.092771
abnormality	0.0920135
"genetic disease"	0.0914473
SIDS	0.0905719
syndrome	0.0904011
"food poisoning"	0.0903475
diarrhea	0.0900086
Parkinson's	0.0880455
"cardiovascular disease"	0.0880032
leukemia	0.0870613
poisoning	0.0861986
dizziness	0.0850945
Psychosis	0.0845647
overdose	0.0838777
abscess	0.0831107
diabetes	0.0829536
"lead poisoning"	0.0829308
insomnia	0.082912
diarrhoea	0.0828894
influenza	0.0823277
heartbeat	0.0815194
malady	0.0796691
"mental disorder"	0.0794707
glaucoma	0.0788825
dysfunction	0.0781695
"high blood pressure"	0.0779323
epilepsy	0.0778136
"personality disorder"	0.0756358
schizophrenia	0.0750873
malnutrition	0.0749907
complication	0.0745326
"bipolar disorder"	0.074424
deafness	0.0741272
nausea	0.0729307
jaundice	0.0727007
hypothermia	0.0720766
ulcer	0.071722
life-threatening	0.0703166
blockage	0.0700755
infertility	0.0700554
"Lyme disease"	0.069028
"muscle cell"	0.0686668
disorientation	0.06837
myeloma	0.0676652
"tooth decay"	0.0671876
inflammation	0.0670455
defibrillator	0.0669416
rollovers	0.0667924
"blood pressure"	0.0660494
als	0.0658147
melanoma	0.0656089
sickness	0.0655828
atherosclerosis	0.0654125
"heart rate"	0.0649901
toxicity	0.0644492
Alzheimer	0.0640397
"venereal disease"	0.0640021
carcinoma	0.0634985
hepatitis	0.0634739
malaria	0.0633059
overwork	0.0632825
"memory loss"	0.0630081
Rabies	0.0629327
retardation	0.0624071
measles	0.0622894
bronchitis	0.0620835
"dance step"	0.0620694
Exhaustion	0.0615649
trauma	0.0606636
constipation	0.0604629
"rheumatoid arthritis"	0.0598824
"anxiety disorder"	0.0594302
strangulation	0.0586793
"moral hazard"	0.0585061
osteoarthritis	0.0578476
sunburn	0.0576412
flu	0.0573312
"cystic fibrosis"	0.0570339
cholera	0.0567147
numbness	0.0566849
relapse	0.0564709
paralysis	0.055853
bifida	0.0556393
Dysentery	0.0551686
"mental illness"	0.0548499
deformity	0.0545075
"side effect"	0.0544304
allergy	0.0542374
"back pain"	0.0542301
clot	0.0540997
"neurological disease"	0.0539756
impairment	0.0538549
heartburn	0.05373
defibrillators	0.0533047
"engine failure"	0.0531988
dilation	0.0530714
reflux	0.0529857
impotence	0.0529748
"neurological disorder"	0.0526287
"typhoid fever"	0.0525426
"West Nile"	0.052292
indigestion	0.0520425
vomiting	0.0518837
arthritis	0.0517993
morbidity	0.0517516
angioplasty	0.0515245
"skin disease"	0.0514931
wasting	0.0514545
malignancy	0.0514079
gangrene	0.0511559
STDs	0.0510539
gunshot	0.0506965
cramp	0.0506243
malformation	0.0505202
"morning sickness"	0.0505013
"hot flash"	0.0502362
Obesity	0.0502336
menopause	0.0499173
"manic depression"	0.0497843
BSE	0.0496716
"foot-and-mouth disease"	0.0496408
"electric shock"	0.0491677
C-section	0.0487862
encephalopathy	0.048484
coma	0.0484823
tuberculosis	0.0482821
migraine	0.0481781
leprosy	0.0480824
stupor	0.0480692
miscarriage	0.0479507
"sexually transmitted disease"	0.0476144
"heart valve"	0.0476055
catheter	0.0475524
syphilis	0.0472802
hallucination	0.0472685
"hay fever"	0.0472025
starvation	0.0469256
degeneration	0.046821
inhalation	0.0465651
"eye disease"	0.0465256
"nose dive"	0.0462541
regression	0.046158
aorta	0.0461065
blindness	0.0458276
delirium	0.0457995
"sore throat"	0.0457499
"hepatitis A"	0.0457308
dyslexia	0.0455979
"writer's block"	0.0452933
cataract	0.0443627
prostate	0.0442513
transplantation	0.0442427
"cerebral palsy"	0.0442122
"upset stomach"	0.0441424
))
(Arrington (desc 4443.86) (sims
"LaVar Arrington"	0.126955
Ammiano	0.110904
Ruggiero	0.0854158
Szczerbiak	0.0842587
Kearse	0.082816
Diouf	0.0806593
Neff	0.0799665
Passarella	0.0785518
Verney	0.0779781
Woodson	0.0777666
Wadsworth	0.0775904
Brisby	0.0769105
Enis	0.0760665
Henning	0.0758169
Wiggins	0.0753962
Daft	0.0742904
Aristide	0.0731643
Ftorek	0.0724413
"Courtney Brown"	0.0724316
Olowokandi	0.0720246
Protas	0.071765
Muoneke	0.0716966
Lassiter	0.0707201
Whitfield	0.0706924
Cardenas	0.0706299
"Antonio Langham"	0.0691907
Milbury	0.0687436
Weatherspoon	0.0687208
Marineau	0.0687045
Laudrup	0.0680014
Kanell	0.0678795
Giles	0.067464
Solis	0.0670756
"Chuck Daly"	0.0668855
Blount	0.0668267
Romanowski	0.0668233
Abdur-Rahim	0.066606
Mashburn	0.0665959
Maldini	0.0659223
Robson	0.065851
Kelleher	0.0657923
Megret	0.0654828
booker	0.0654435
Langham	0.0654025
Rusch	0.0653145
McDuffie	0.0648902
Aleman	0.064447
Iverson	0.0644113
Underwood	0.0643581
Guthridge	0.0642361
Peterson	0.0640345
"Chris Claiborne"	0.0638577
Djukanovic	0.063791
Katsav	0.0636477
Strahan	0.0633385
Ivester	0.0633329
McNabb	0.0632205
Katzenmoyer	0.0630929
Troussier	0.0628729
Najera	0.0627269
Gooding	0.0626632
Arbour	0.0626604
McAlister	0.0624358
Constantine	0.061775
hodgson	0.0617536
Moynihan	0.0616246
Cardoso	0.0615452
Rendell	0.0614753
Nadler	0.061268
Sanderson	0.0612412
"Chris Gomez"	0.061218
Lafontaine	0.0610991
Coelho	0.0609748
Samper	0.0609355
Capel	0.0608772
Hardaway	0.0608633
Ackerman	0.0604512
Meciar	0.0603977
Bottenfield	0.0601563
Kemp	0.0599959
Jauron	0.0599947
Dunleavy	0.0599802
Wheatley	0.0599221
Coffey	0.0599137
Mullin	0.0598747
Greenwald	0.0598176
Sato	0.0596652
Zenga	0.0593488
Irvin	0.0592262
Jagr	0.0590469
Bowen	0.0590082
Cronin	0.0589492
Stoneman	0.0588701
Artest	0.0588485
Duchesne	0.0588098
McCall	0.0586844
Menem	0.058563
Lautenberg	0.0584966
Popovich	0.0584766
Joklik	0.058456
McKenna	0.0583706
Moyer	0.0583451
Kassirer	0.0582479
Helton	0.058242
Cianci	0.0581861
Sinclair	0.0581642
Rankin	0.0580543
Mahuad	0.0579001
Dodik	0.0577517
Fujimori	0.0576262
McInnis	0.0575188
Perot	0.0574038
Odom	0.0573204
Spielman	0.0573159
Fizer	0.0573158
Polynice	0.0572168
Devine	0.0572034
Sapp	0.0571684
WARRICK	0.0571497
Ruehe	0.0570747
DeBerg	0.0570506
Lockyer	0.0570363
Tubbs	0.0570341
Vogts	0.0570273
Siegel	0.0569918
Andreychuk	0.0569472
Plante	0.0567074
Crawford	0.05668
Kumar	0.0566539
Contreras	0.0566408
Zadornov	0.0565647
Harkes	0.0565447
Nowitzki	0.0564431
Schaeuble	0.0564339
Advani	0.0562669
Ochoa	0.0562316
Valenzuela	0.0562031
Schottenheimer	0.0561106
Bhattarai	0.0558698
Favre	0.0557844
Tudjman	0.0557163
Hoddle	0.0557007
Grudzielanek	0.0556803
"Carlos Salinas"	0.0556758
Romar	0.0556729
Koznick	0.0556536
Hybl	0.0556177
Quackenbush	0.0555811
Havelange	0.0555396
Gustafsson	0.0552926
Marinovich	0.0551933
Huber	0.0550877
Druckenmiller	0.0550072
Mandelson	0.054975
Henson	0.0549661
Bradford	0.0549177
Gillom	0.0549089
Detmer	0.0548289
Keenan	0.054736
Brady	0.0547183
Madden	0.0546636
Rawabdeh	0.0545005
Cassell	0.0544898
Hiddink	0.0543818
Tkachuk	0.0543517
Camacho	0.0543307
Voinovich	0.0542504
Hatcher	0.0540325
Baerga	0.0540195
Laver	0.0539776
Woodard	0.053971
Sheehan	0.0539666
Geiger	0.0538617
"Ebenezer Ekuban"	0.0538474
Ivanisevic	0.0538357
Burt	0.0537456
Irvan	0.0537254
Neuheisel	0.0537164
Norstrom	0.0536732
Olajuwon	0.0536234
Engler	0.0535819
Kovalev	0.0534958
Coles	0.0534848
Alarcon	0.0534394
Elarton	0.0533895
Neilson	0.0533606
Lasorda	0.0532935
Plummer	0.0532751
Richter	0.0532008
Tuttle	0.053164
Dunne	0.0531532
Hashimoto	0.0530866
Yzerman	0.0530391
Janikowski	0.0529654
Fordice	0.0528471
Audette	0.0528463
Gargan	0.0528313
Brunner	0.0527828
Chmura	0.0527403
Wohlers	0.0527322
))
(arrival (desc 123445) (sims
departure	0.141589
return	0.112495
visit	0.111855
announcement	0.100966
arrest	0.0990614
release	0.0989806
influx	0.0942599
presence	0.0934477
export	0.0928722
import	0.0915808
launch	0.0914959
introduction	0.0897292
meeting	0.08816
deployment	0.0878642
shipment	0.0875725
birth	0.0874987
landing	0.0874267
flight	0.0851593
sale	0.0850035
Death	0.0849222
launching	0.0837137
coming	0.0831947
tourist	0.0831458
handover	0.0827661
opening	0.0827619
trip	0.0814622
delivery	0.0804054
growth	0.0802593
signing	0.0802511
inflow	0.0797161
resignation	0.0791943
appointment	0.0791259
withdrawal	0.0790077
stopover	0.078485
advent	0.0780539
ceremony	0.0779902
entry	0.0774849
inauguration	0.0773198
election	0.0769924
"news conference"	0.0766552
visitor	0.0764101
output	0.0762626
"inflation rate"	0.0760635
number	0.0756239
investment	0.0754507
summit	0.0751566
attack	0.0748908
explosion	0.0747692
talk	0.0742908
crash	0.0738507
discovery	0.0737124
"vehicle sale"	0.0736284
volume	0.0736139
incident	0.0735975
"trade deficit"	0.0734811
emergence	0.0732253
appearance	0.0731432
rise	0.0726527
production	0.07185
bombing	0.0718171
completion	0.0710104
takeoff	0.070531
resumption	0.0702775
killing	0.0700602
accident	0.0700421
"press conference"	0.0700153
"retail sale"	0.0699603
demand	0.0690576
event	0.0688095
repatriation	0.06871
"consumer price index"	0.0685093
speech	0.0684481
"unemployment rate"	0.0682758
decision	0.0681617
flow	0.06804
development	0.0679166
surge	0.0678001
shooting	0.0677646
purchase	0.0676687
demise	0.0675227
change	0.0675086
popularity	0.0672547
remark	0.067179
inflation	0.0671024
attendance	0.0669669
earnings	0.066781
exodus	0.0666935
harvest	0.0666785
loss	0.0665694
performance	0.0664701
passenger	0.0662836
success	0.0658745
Rally	0.0658666
Execution	0.0656908
absence	0.0655596
retirement	0.0655433
defection	0.0655335
tour	0.0651463
gathering	0.0648498
evacuation	0.0648297
seizure	0.0641976
decline	0.0641698
collapse	0.0640459
operation	0.0638397
increase	0.0637456
onset	0.0637021
celebration	0.063641
expansion	0.0634766
recovery	0.0634628
"growth rate"	0.0634386
spending	0.0633713
raid	0.0633305
activity	0.0631389
participation	0.0631158
strike	0.0630315
refugee	0.0627413
demonstration	0.062713
tourism	0.0626964
"summit meeting"	0.0626072
supply	0.0625818
assassination	0.0625757
GDP	0.0623977
"trade surplus"	0.0623024
conference	0.0622997
trial	0.0622471
report	0.0622014
outbreak	0.0621286
invasion	0.0619562
"gross domestic product"	0.0619162
adoption	0.0618536
Mission	0.0618104
price	0.0617973
"oil price"	0.0617973
vote	0.0616575
case	0.0616547
traffic	0.0615414
intervention	0.0614266
anniversary	0.0614114
consumption	0.0613396
impact	0.0612112
action	0.0610231
migration	0.061
takeover	0.0609087
result	0.060863
shortage	0.0606369
blast	0.0603559
cancellation	0.0603436
debut	0.0603371
trade	0.0602621
acquisition	0.0602507
disappearance	0.0600813
massacre	0.0600184
comment	0.060002
transfer	0.0597058
statement	0.0596383
devaluation	0.0595124
clash	0.0594594
population	0.0594108
revenue	0.0593499
unemployment	0.0593107
"state visit"	0.0590997
turnout	0.0590633
ouster	0.0588172
Dismissal	0.0586732
movement	0.0583856
availability	0.0583572
prospect	0.0583342
travel	0.0580329
crisis	0.0579014
delay	0.0577344
news	0.0577341
registration	0.057614
parade	0.0575908
situation	0.0572668
rate	0.0572534
turnover	0.0572509
deficit	0.0570125
approval	0.0570105
protest	0.0569966
publication	0.0569394
sales	0.0569281
hiring	0.0569092
figure	0.0569084
shift	0.0568755
flood	0.0568602
merger	0.0568365
slowdown	0.056823
verdict	0.0568037
coup	0.0566015
request	0.0565126
slaying	0.0564918
conclusion	0.0564397
occupancy	0.0563657
hearing	0.0562533
improvement	0.0562248
reporter	0.0562066
plane	0.0562003
effort	0.0560171
"general election"	0.0560045
session	0.0559686
))
("arrival time" (desc 1746.42) (sims
"test data"	0.0668893
"starting time"	0.0583745
"record earnings"	0.0499028
co-pilot	0.0498782
"flight path"	0.0486084
adjournment	0.0472731
windscreen	0.0468698
"name and address"	0.0453137
"pretax loss"	0.0430713
"travel plan"	0.0425324
Archaeopteryx	0.0410167
"change of mind"	0.0408532
mushrooming	0.0403615
ridership	0.0402203
"septic tank"	0.0401454
"data system"	0.0400932
nimbleness	0.0400462
))
(Arrives (desc 1130.94) (sims
"Bill Skate"	0.198348
"Foreign Exchange Rates"	0.135034
"Victor Chernomyrdin"	0.127546
"Andreas Papandreou"	0.125897
"Felipe Gonzalez"	0.118423
"Lee Kuan Yew"	0.116572
"Fayez Tarawneh"	0.112553
"I.K Gujral"	0.110765
killed	0.110763
"Viktor Orban"	0.107741
"Norodom Ranariddh"	0.106869
"Gulbuddin Hekmatyar"	0.102356
"H.D Deve Gowda"	0.0994064
held	0.0981427
"Jaswant Singh"	0.0971552
"Lamberto Dini"	0.0969153
"Pascoal Mocumbi"	0.0958521
"Michael Portillo"	0.0927321
"Tim Fischer"	0.091485
"Vo Van Kiet"	0.0913799
"Deve Gowda"	0.0912814
"Tomiichi Murayama"	0.0877549
"Vladimir Meciar"	0.0866256
"Valery Pustovoitenko"	0.0862233
"Khaleda Zia"	0.0840308
"Vladislav Jovanovic"	0.0837967
"Radu Vasile"	0.0837907
"Begum Khaleda Zia"	0.0821669
"Tansu Ciller"	0.0821593
"P.V Narasimha Rao"	0.0811059
"Le Kha Phieu"	0.0795591
"Overseas Chinese"	0.0786142
"Vaclav Klaus"	0.0786053
"Lakhdar Brahimi"	0.0779273
"Milorad Dodik"	0.0778641
Govt	0.0776227
"Rajiv Gandhi"	0.0773045
"Momir Bulatovic"	0.0767226
"Tian Jiyun"	0.0750139
"George Robertson"	0.0750006
Consul-General	0.0743685
Igor	0.0721969
"Silvio Berlusconi"	0.0719703
"Lokendra Bahadur Chand"	0.0716466
"Ivan Kostov"	0.0713127
"James Barksdale"	0.0704836
"Abdul Karim Kabariti"	0.0703286
"Mikulas Dzurinda"	0.0702376
"Wolfgang Petritsch"	0.0700151
"Noboru Takeshita"	0.069745
Hamzah	0.0693619
"William Perry"	0.0687296
"Milos Zeman"	0.0687133
"Ung Huot"	0.0682807
"Chavalit Yongchaiyudh"	0.0679278
"Paul Keating"	0.0676935
FM	0.0673439
"Alexander Lebed"	0.0669271
"Carl Bildt"	0.0666767
Pct	0.0661848
Opens	0.0657908
Chavalit	0.0654717
"Mahendra Chaudhry"	0.0652268
"Michael Heseltine"	0.0652158
"Inder Kumar Gujral"	0.0650938
"Indian High Commission"	0.0648792
"Robert Gelbard"	0.0647281
"Mikhail Kasyanov"	0.0643529
"Phan Van Khai"	0.0642727
"Qian Qichen"	0.0642601
"Mel Karmazin"	0.0641431
"Zhou Enlai"	0.0635012
"Anson Chan"	0.0633906
"Anatoly Chubais"	0.0631904
"Margaret Thatcher"	0.0626859
"Antonio Guterres"	0.0624511
"Fatos Nano"	0.0624193
Rao	0.0619068
Parks	0.0618436
"Menachem Begin"	0.0615292
"Ahmed Tibi"	0.0601591
"Haim Ramon"	0.0599482
Rupert	0.0598341
"M. Douglas Ivester"	0.0595342
"John Morris"	0.0591708
"Necmettin Erbakan"	0.0590047
"Jiang Chunyun"	0.0589759
"Indira Gandhi"	0.0583057
"Bertie Ahern"	0.058219
"Krishna Prasad Bhattarai"	0.0577701
"Pervaiz Musharraf"	0.0575593
"Kiichi Miyazawa"	0.0569688
"Yossi Beilin"	0.0568146
"Alain Juppe"	0.0567453
"John Prescott"	0.0566962
"Charles LaBella"	0.0563578
"Zou Jiahua"	0.056252
EPZ	0.0562374
"Eisuke Sakakibara"	0.0561607
"Sadako Ogata"	0.0561573
"Gro Harlem Brundtland"	0.056003
"Wlodzimierz Cimoszewicz"	0.0559308
"Mo Mowlam"	0.0558524
"Tareq Aziz"	0.0558507
"Scott McNealy"	0.0556334
"Anthony Lake"	0.0556306
"Hanan Ashrawi"	0.0551205
"Yuri Maslyukov"	0.0550587
"Robin Cook"	0.0547243
"Myanmar Embassy"	0.0543591
Gujral	0.0538059
"Abdul Salam Majali"	0.0535554
"Henry Cisneros"	0.053536
"Gerald Levin"	0.0534738
Lipponen	0.0531396
"Girija Prasad Koirala"	0.0527229
"Boris Fyodorov"	0.0518039
"Wu Bangguo"	0.0517555
Hasina	0.0515614
"Sher Bahadur Deuba"	0.0514709
"Sino-British Joint Liaison Group"	0.0508922
Rawabdeh	0.0507732
"Richard C. Holbrooke"	0.0506077
"Boris Nemtsov"	0.0504723
"Nabil Shaath"	0.0502916
"Donna Shalala"	0.0499293
"Sheikh Saad"	0.0498868
"David Jones"	0.0496199
"Xie Zhenhua"	0.0496048
"Supachai Panitchpakdi"	0.0495999
"Mike Moore"	0.0495364
"Joschka Fischer"	0.049147
"Volleyball Grand Prix"	0.0489572
"Robert Aventajado"	0.0483881
"Jack Welch"	0.0482526
heatwave	0.0477649
"Steve Case"	0.0477272
Kamal	0.0477162
Philippe	0.0476772
"Rolf Ekeus"	0.0470119
"Sensitive Index"	0.0467567
"Ray Evernham"	0.0466584
"Qin Huasun"	0.0465526
Bernhard	0.0463753
"Tom Johnson"	0.0463716
"Julius Francis"	0.0462924
"Alexander Shokhin"	0.0462924
Nicolas	0.0459957
"Laurent Fabius"	0.0458744
"Share Prices Continue"	0.0458188
Joachim	0.0456881
"Wei Jianxing"	0.045687
tribals	0.0456797
"Bernard Kouchner"	0.0455073
"Peter Mandelson"	0.045452
"dengue fever"	0.0453364
Buhe	0.0453293
"Igor Sergeyev"	0.0448984
"Nuon Chea"	0.0447968
"Martin McGuinness"	0.0447088
Habib	0.0444894
JLG	0.0440629
"Mahmoud Zouebi"	0.043923
Consulate-General	0.0436451
"Yoshiro Mori"	0.0433821
"Robert E. Rubin"	0.0432421
"High Commission"	0.043096
"Abdullah Ahmad Badawi"	0.0427414
"Michael Eisner"	0.0427197
"Frederick Sumaye"	0.0422463
Siegfried	0.0422164
"Prime Minister Banharn Silpa-Archa"	0.0418543
"Larry Ellison"	0.0417462
"Michael Moore"	0.0414646
"Klaus Kinkel"	0.0412367
"Trade Fair"	0.0411766
"Renato Ruggiero"	0.0410937
"Sartaj Aziz"	0.0410739
"Bernie Ecclestone"	0.0409635
"Defense Secretary"	0.0409228
Mahmoud	0.0407908
"John Bruton"	0.0406277
Rains	0.040571
"Kamal Kharrazi"	0.0405503
"Vladimiro Montesinos"	0.0405333
"Zhang Wannian"	0.0405097
"waiting area"	0.0403254
EPZs	0.0402179
))
(arrogance (desc 24454.6) (sims
hypocrisy	0.160863
greed	0.154724
incompetence	0.129355
hubris	0.126511
insensitivity	0.123869
cowardice	0.122569
indifference	0.121666
selfishness	0.121066
cynicism	0.117459
intolerance	0.116979
naivete	0.116091
prejudice	0.113542
stupidity	0.112529
ignorance	0.111814
cruelty	0.110548
cockiness	0.110269
laziness	0.109222
racism	0.108603
smugness	0.107538
irresponsibility	0.107283
bigotry	0.106942
recklessness	0.105102
rudeness	0.104301
"double standard"	0.0998982
malice	0.0980135
disrespect	0.0973747
hatred	0.0966086
brutality	0.0963473
deceit	0.0947624
aggression	0.0921603
complacency	0.0907879
dishonesty	0.0905021
sloppiness	0.0902428
partisanship	0.0900927
bias	0.089576
disregard	0.089503
jealousy	0.0889683
injustice	0.088793
stubbornness	0.0876307
ego	0.0875269
corruption	0.0868714
self-satisfaction	0.086817
intransigence	0.0866467
negligence	0.0866136
ambition	0.0858715
humility	0.0854577
paranoia	0.0852809
contempt	0.0846941
deception	0.0837337
apathy	0.083252
lack	0.0830332
bravado	0.0829449
pride	0.082929
disloyalty	0.0828012
anti-Semitism	0.0827263
brashness	0.0826346
carelessness	0.0821218
aloofness	0.0813309
desperation	0.0813303
unwillingness	0.0811322
sophistication	0.0809322
betrayal	0.080611
avarice	0.0801424
modesty	0.0799361
self-confidence	0.0797817
condescension	0.0795721
discrimination	0.0791732
snobbery	0.0790341
insecurity	0.078539
attitude	0.0784165
cronyism	0.078072
neglect	0.0769693
inertia	0.0767322
overconfidence	0.0764346
inhumanity	0.0762252
favoritism	0.0760861
callousness	0.0760229
vanity	0.0759868
abuse	0.0757735
Innocence	0.0755969
defiance	0.0749277
generosity	0.0748736
oppression	0.0744962
nationalism	0.0744804
behavior	0.0744269
hate	0.0742515
meanness	0.074123
egotism	0.0740935
nonchalance	0.0740128
posturing	0.0739134
toughness	0.0739069
inexperience	0.0737807
narcissism	0.073606
xenophobia	0.0731052
anger	0.0730561
interference	0.0723153
honesty	0.0722645
ineptitude	0.0722315
repression	0.0722151
mistrust	0.0722135
pretension	0.0721693
intimidation	0.072155
disdain	0.0720138
aggressiveness	0.0719142
extremism	0.0715442
determination	0.0715437
defensiveness	0.0711753
passion	0.0711414
immaturity	0.0710648
tyranny	0.0707929
self-interest	0.0707145
professionalism	0.0707075
excess	0.0706796
frailty	0.0706396
demagoguery	0.0706064
mismanagement	0.0704419
optimism	0.0702791
unfairness	0.0700417
inefficiency	0.0700372
sloth	0.0698208
provocation	0.0697956
courage	0.0694835
glamour	0.0694403
reluctance	0.0692062
ruthlessness	0.0690855
hostility	0.0684742
permissiveness	0.0684061
manipulation	0.0681653
harassment	0.0679558
mentality	0.0676015
Elitism	0.0674237
inaction	0.0673114
violence	0.0672449
brilliance	0.0669962
confidence	0.0667217
"power politics"	0.0664825
envy	0.0664456
chutzpah	0.0664162
madness	0.0663417
irony	0.0660923
lawlessness	0.0653259
sincerity	0.0651238
immorality	0.0649593
frustration	0.0649418
impatience	0.0647987
self-promotion	0.0647596
weakness	0.0644203
distrust	0.0644017
tendency	0.06436
folly	0.0642848
sexism	0.0642362
craziness	0.0640815
opportunism	0.0639875
helplessness	0.063951
insouciance	0.0639473
"wishful thinking"	0.0637563
humor	0.0637518
humiliation	0.0636009
enthusiasm	0.0632497
competence	0.0632171
misunderstanding	0.0631008
charisma	0.0630592
patriotism	0.0630071
self-pity	0.0629859
ambivalence	0.062922
vulnerability	0.0628555
imperialism	0.0626592
foolishness	0.0626494
exploitation	0.0626401
grace	0.0625777
misconduct	0.0624866
exuberance	0.0623428
inequality	0.0620949
evil	0.0619274
altruism	0.0619092
commercialism	0.0619027
hegemony	0.0618385
weariness	0.0616351
tactic	0.0615321
inconsistency	0.0614977
persecution	0.0614862
pragmatism	0.0613055
usurpation	0.0610155
loyalty	0.0610095
distortion	0.0608772
wit	0.0608646
charm	0.0608445
resilience	0.0608261
candor	0.060825
curiosity	0.0607919
failure	0.0607764
stereotype	0.0607402
dignity	0.0607061
bravery	0.0606072
insularity	0.060497
duplicity	0.0603543
animosity	0.0602105
dominance	0.0598771
wisdom	0.0596481
tenacity	0.059616
))
(Arrojo (desc 3008.33) (sims
Harnisch	0.209323
Nagy	0.204271
Bottenfield	0.203756
Mercker	0.199906
Trachsel	0.198318
Dempster	0.188799
Fassero	0.186633
Moehler	0.186392
Radke	0.182365
Eldred	0.178165
Petkovsek	0.177196
Bohanon	0.175388
Tapani	0.174094
Hentgen	0.17312
Pavano	0.167224
Herges	0.166748
"Russ Ortiz"	0.166669
Kile	0.165454
Hermanson	0.16481
Sele	0.16387
Meche	0.163321
Burkett	0.162886
Mussina	0.162452
Burba	0.160217
Mulholland	0.155232
Millwood	0.154438
Belcher	0.154083
Hershiser	0.15348
Schourek	0.153406
Gooden	0.151985
Yoshii	0.149202
"Brian Moehler"	0.147005
Ankiel	0.146701
Loaiza	0.144225
Candiotti	0.142089
Dreifort	0.141731
Lieber	0.14161
Rueter	0.140789
Wakefield	0.140533
Mantei	0.140171
Rusch	0.139325
Erickson	0.137859
Mahomes	0.137446
Neagle	0.137338
Astacio	0.137269
Stottlemyre	0.136558
Tomko	0.135993
Schoeneweis	0.135385
Bere	0.135324
Reynoso	0.135272
Saberhagen	0.13335
Checo	0.132748
"Woody Williams"	0.132405
Benes	0.132305
Etherton	0.13215
"Jason Schmidt"	0.131516
Rapp	0.129884
Nomo	0.128151
Daal	0.125608
"Javier Vazquez"	0.125142
Pettitte	0.12506
Glavine	0.124814
"Eric Milton"	0.124646
Leiter	0.124283
Elarton	0.124119
"Francisco Cordova"	0.123814
Smoltz	0.123311
Meadows	0.12321
Gagne	0.121624
Helling	0.121497
Irabu	0.121356
Moyer	0.121193
"Jon Lieber"	0.120625
"Paul Abbott"	0.119702
"Brad Radke"	0.11941
Mlicki	0.119091
"Dustin Hermanson"	0.118705
Saunders	0.118243
"Chris Carpenter"	0.118122
Vazquez	0.117745
Perisho	0.116973
Witt	0.116709
"Steve Sparks"	0.11603
Percival	0.11579
Olivares	0.115421
Valdes	0.114307
"John Snyder"	0.114274
Washburn	0.11405
"Matt Morris"	0.113135
Maddux	0.112788
Halama	0.111926
"Freddy Garcia"	0.111748
"Livan Hernandez"	0.111269
"Orlando Hernandez"	0.111267
Isringhausen	0.110521
"Tom Candiotti"	0.110348
Dotel	0.109839
"Kent Bottenfield"	0.109365
"John Burkett"	0.10904
"Mike Sirotka"	0.10875
"Armando Reynoso"	0.107301
"Jeff Weaver"	0.107037
Pulsipher	0.106772
"Jamey Wright"	0.106593
"Jesus Sanchez"	0.106528
Wohlers	0.105831
Remlinger	0.105683
"Hideo Nomo"	0.105645
"Brett Tomko"	0.105628
"Dave Mlicki"	0.105554
Cormier	0.105507
Mendoza	0.105199
"Scott Erickson"	0.105114
Guzman	0.10506
"Rolando Arrojo"	0.104992
Woodard	0.104934
Schilling	0.10402
Clemens	0.104009
D'Amico	0.103783
Haynes	0.103706
Osuna	0.102388
Ortiz	0.102266
Appier	0.101449
"Kirk Rueter"	0.101079
"Dave Burba"	0.100421
"Aaron Sele"	0.0998737
McDOWELL	0.0995399
Glynn	0.099381
"Pedro Astacio"	0.0991992
"Brian Anderson"	0.0989477
"Shane Reynolds"	0.0983636
"Steve Parris"	0.0981568
"Brian Bohanon"	0.0973204
"Tim Hudson"	0.0973065
Hernandez	0.0971606
"Terry Mulholland"	0.0970019
Baldwin	0.0969735
"BRIAN MEADOWS"	0.0967862
"Hideki Irabu"	0.0967448
"Jim Parque"	0.0963801
Ashby	0.0963279
Hampton	0.0960508
Hudek	0.0958743
"Jamie Moyer"	0.0953951
Cloude	0.0950164
Dickson	0.0946805
"Pete Schourek"	0.0946161
"El Duque"	0.0944583
"Mike Hampton"	0.0942023
"Kevin Appier"	0.0941415
Cone	0.0940432
Wendell	0.0940144
"Masato Yoshii"	0.0937313
"Andy Benes"	0.0936496
"Andy Pettitte"	0.0930928
"Tim Belcher"	0.0925468
"Jason Bere"	0.0922182
"Darryl Kile"	0.0922083
"Bartolo Colon"	0.092181
"Wilson Alvarez"	0.0920045
Winn	0.0919889
"Darren Dreifort"	0.0919166
"Gil Heredia"	0.0918669
"Dwight Gooden"	0.0917878
"Steve Trachsel"	0.0916653
Schmidt	0.0916515
"Al Leiter"	0.0915151
Heredia	0.09145
"Kevin Tapani"	0.0914339
"Pat Hentgen"	0.0913959
Ritchie	0.0908371
"Mark Portugal"	0.0904784
"Bryce Florie"	0.090113
Sparks	0.0898884
Hasegawa	0.0897114
"Chris Holt"	0.0890607
Nunez	0.0890556
Rojas	0.0889237
Moog	0.0889166
"Mark Gardner"	0.0883744
Borbon	0.0879269
Yarnall	0.0877976
"Ramon Ortiz"	0.0877097
"Chuck Finley"	0.0875558
Avery	0.0870343
colon	0.0870194
"Carl Pavano"	0.0865377
"Sidney Ponson"	0.0865086
"Scott Elarton"	0.0863669
Suppan	0.0862445
"Jason Dickson"	0.0861005
"Bill Pulsipher"	0.0860249
"Charles Nagy"	0.0859979
"Jose Jimenez"	0.085978
"Kerry Wood"	0.0857651
Wasdin	0.085694
Grimsley	0.0855206
"Jaret Wright"	0.0854523
"Ramon Martinez"	0.0851582
"Mike Mussina"	0.0848258
))
(Arron (desc 1056.13) (sims
Briscoe	0.141953
Kirkpatrick	0.127235
Jeffers	0.12645
Sorensen	0.121207
Longo	0.120861
O'Sullivan	0.120072
Cleary	0.119581
Mucha	0.116472
Lowry	0.116405
Abram	0.114778
Cline	0.114289
Meissner	0.113627
Haines	0.112145
Grunwald	0.112074
Godfrey	0.111711
Merritt	0.110554
Klim	0.110506
Brazile	0.108166
Sato	0.107934
Betts	0.105631
McDonnell	0.105488
Tuttle	0.105044
Mott	0.104302
Tilberis	0.103816
Jaffe	0.103738
Molinari	0.102778
Ricci	0.10272
Marchand	0.102609
Farrell	0.102536
bock	0.102329
"El Guerrouj"	0.100978
Lange	0.100321
Tharp	0.0998457
Edelstein	0.099744
Rossotti	0.0987624
Fiorina	0.0979276
Rossi	0.0978282
Ashrawi	0.0976822
Ackerman	0.0969222
Brenner	0.0968618
Adkins	0.0965306
Hickman	0.0962558
Wenger	0.0960197
Greenwald	0.0958183
Henning	0.095634
Markovic	0.0955643
McDaniel	0.0953557
Pape	0.0947217
Mathews	0.0945484
Harman	0.0945365
Morse	0.0942869
Boyle	0.0941568
McFadden	0.0934115
Sheehan	0.0930927
Padilla	0.0927619
hodgson	0.0918163
Farber	0.0913493
Ono	0.0913346
swank	0.0912862
Goldin	0.0911317
Knapp	0.0909893
Rowley	0.0907632
DeFrantz	0.0904482
Advani	0.0904035
Devers	0.0901808
Boardman	0.0897207
Swanson	0.0896839
Hagen	0.0896215
Quintero	0.0885424
Blackman	0.0883454
Rosenthal	0.0881537
Grossman	0.0877058
Liston	0.0871509
Dowd	0.0871449
Hecht	0.0865283
Arbour	0.0862795
Neilson	0.0862145
Vasquez	0.0860614
Kurtz	0.0856568
Mortimer	0.0855513
Deneuve	0.0854638
Northup	0.0849463
Madden	0.0848779
Dunham	0.0845458
Seymour	0.0845209
Janssen	0.0844897
Silverstein	0.0844128
Forrest	0.0840546
Rowan	0.083826
Duffy	0.0838051
Menchu	0.0836962
Bronson	0.0836372
Waxman	0.0834513
Zuckerman	0.0832679
Kyprianou	0.0831608
Patten	0.0831214
Upshaw	0.082981
Weiner	0.0828887
Swenson	0.0825757
Szabo	0.0825084
Segal	0.0819494
Fay	0.0819152
"Earnhardt Jr."	0.0815666
Slatkin	0.0815188
Jensen	0.0811316
Kelso	0.0809045
Flockhart	0.080849
Dyson	0.0808429
Manuel	0.0806253
Lurie	0.0804222
Monahan	0.0803871
Fahey	0.080084
Griffiths	0.0799483
Meehan	0.0798504
Lambert	0.0797822
Midler	0.0795916
Lehmann	0.0794465
Weisman	0.0793967
Takahashi	0.0793888
Hartley	0.079388
Guerin	0.0793293
Orton	0.0793056
McCormack	0.079262
Henley	0.0792286
Edson	0.0791006
Tobin	0.0789384
Chukwu	0.0789377
Samuelson	0.0787697
Briggs	0.0787246
O'Hara	0.0787199
Moscoso	0.0782358
Morley	0.0781844
Lockwood	0.0781633
Manley	0.0777877
Rubinstein	0.0777454
Donohue	0.0773245
Stahl	0.0773217
Keenan	0.0770027
Copeland	0.0769989
Ikeda	0.0766592
Baer	0.076502
Sheehy	0.0762646
Donnelly	0.0760442
Vogel	0.0759236
Greco	0.0758588
Nakamura	0.0758377
Daniels	0.0756681
Drummond	0.0755529
Steinberg	0.0754942
Kurth	0.0753419
Dixon	0.0752372
Hanley	0.0752223
Kirby	0.0751004
Theron	0.075078
Russo	0.0749538
Neal	0.0748864
Gilman	0.0748839
Blum	0.0748579
Mckee	0.0745783
Bushnell	0.0743899
Mahoney	0.0742397
Dench	0.0741961
Huffington	0.0739432
Walters	0.0739309
Barad	0.0739299
Andersen	0.0739236
Suarez	0.0739233
singleton	0.0737785
Snowe	0.0736793
Shriver	0.073642
Kingsley	0.0735119
Flynn	0.0735032
Julich	0.073492
Shapiro	0.0733784
Hess	0.0733598
Seligman	0.0733485
Weil	0.0733246
Insulza	0.0733203
Hamlin	0.0731037
Ivey	0.0730403
Rupert	0.0730192
Dragila	0.0728684
Mays	0.0725611
Bassett	0.0725229
SUI	0.0724865
Wolff	0.0723793
Sommer	0.0723015
Doohan	0.072281
Roberson	0.0721875
Siazon	0.0721564
O'Connell	0.0721438
Yoon	0.0720906
Seifert	0.0720518
Jalabert	0.0718872
Townsend	0.0715308
Kagalovsky	0.0715274
Redgrave	0.0714844
Clements	0.0714664
Gomez	0.0714241
McCabe	0.0713936
))
(arrow (desc 19322.3) (sims
dagger	0.096637
spear	0.0907386
knife	0.0861611
bullet	0.0789665
machete	0.0781279
"cloud cover"	0.0768944
shotgun	0.0739913
dart	0.071903
pistol	0.0716727
projectile	0.0715732
rifle	0.0702961
ax	0.0700448
"automatic rifle"	0.0691241
sword	0.0687788
McLaren-Mercedes	0.0639061
bayonet	0.06284
bow	0.0624909
slingshot	0.0617983
Grenade	0.0614196
gun	0.0594985
missile	0.0586412
arrowhead	0.0569625
dot	0.0567578
revolver	0.0565183
sickle	0.0561591
bomb	0.0556806
"hand grenade"	0.0544872
shrapnel	0.0539609
barb	0.0534278
"machine gun"	0.0523957
pellet	0.0521001
"submachine gun"	0.0520738
S-@@@	0.0515852
"bullet hole"	0.0503557
button	0.050343
"gasoline bomb"	0.0497126
fist	0.0495208
cursor	0.0493313
scalpel	0.0491544
"bowling ball"	0.048856
"explosive device"	0.048454
cannon	0.0481998
"ballistic missile"	0.0481091
laser	0.0480235
Tomahawk	0.0479973
musket	0.0478726
rocket	0.0471533
McLaren	0.047009
"nuclear warhead"	0.0469777
"baseball bat"	0.046813
"laser beam"	0.0461424
machine-guns	0.0459831
"surface-to-air missile"	0.0455693
"razor blade"	0.0454622
torpedo	0.0453556
launcher	0.0451622
blade	0.0448282
"food coloring"	0.0446749
crosse	0.0440509
finger	0.0438203
confetti	0.0434643
handgun	0.04346
Lance	0.0432391
"fishing rod"	0.0428432
ribbon	0.042748
carbine	0.0427152
banner	0.0425575
ammunition	0.0424717
"slip of paper"	0.0424495
Yamaha	0.0423658
baton	0.0423034
rectangle	0.0422697
"pipe bomb"	0.0420474
mortar	0.0420076
Honda	0.0419992
needle	0.0419972
gunshot	0.0419586
"sawed-off shotgun"	0.0419546
lettering	0.0417451
shovel	0.0415368
artillery	0.0413412
Benetton	0.041273
Meteor	0.0411747
"mouse click"	0.0410877
Aprilia	0.0410203
flashlight	0.0408219
"rocket launcher"	0.0406047
numeral	0.040456
bead	0.0402254
Coin	0.0401389
sticker	0.0400663
))
(arrowhead (desc 3131.11) (sims
axe	0.0877102
sickle	0.0868722
spear	0.0796341
Pottery	0.0768158
hubcap	0.0683768
bronzeware	0.0673217
ax	0.0669278
Kauffman	0.0662877
chisel	0.0644793
bayonet	0.0638725
figurine	0.0632104
LANIER	0.0626699
hairpin	0.0607901
machete	0.0599227
dagger	0.0588258
fossil	0.0578093
ornament	0.0570052
arrow	0.0569625
"specialty chemical"	0.0564734
"cigarette butt"	0.055987
scissors	0.0557157
pistol	0.0555335
jade	0.0555233
"musical instrument"	0.0541571
sword	0.0534582
"Shah Alam"	0.0526756
oreo	0.0522407
jewellery	0.0519675
truncheon	0.0514505
medallion	0.050893
screwdriver	0.0505898
birdbath	0.0504123
"food shop"	0.049714
Devine	0.0496759
"baseball bat"	0.048905
"beer can"	0.0478606
"radio set"	0.0476026
"oreo cookie"	0.0475472
Wheaties	0.0473429
"hunting knife"	0.0472571
"brook trout"	0.0468719
Evian	0.0467754
carving	0.0466667
hacienda	0.0458835
kettle	0.0450357
Kleenex	0.0450092
Cleaver	0.0445023
wares	0.0443057
"fire hydrant"	0.0439072
ebony	0.0434896
"gasoline bomb"	0.0432791
"oil lamp"	0.0432209
stone-throwers	0.0430021
crayfish	0.0428166
tripod	0.0428133
shawl	0.0427488
musket	0.0426837
RFK	0.042403
hyphen	0.0423049
cistern	0.0422639
utensil	0.0420595
crosse	0.0420338
"paring knife"	0.0420295
"Exposition Park"	0.0415987
"scientific instrument"	0.0413587
Lance	0.0412626
ingot	0.041238
rosette	0.0412133
paperweight	0.0408326
Tahoe	0.0405651
"automatic rifle"	0.0405539
statuette	0.0405212
bauble	0.0404587
"explosive device"	0.040404
"belt buckle"	0.0404021
syringe	0.0403899
"telephone pole"	0.0402458
"hand tool"	0.0401154
"Farrar, Straus &AMP; Giroux"	0.0400409
LSD	0.0400154
"hand grenade"	0.0400119
))
("Arrowhead Stadium" (desc 1775.07) (sims
"Kyle Field"	0.17919
"Tokyo Dome"	0.159207
Metrodome	0.158718
"Texas Stadium"	0.156904
"Mile High Stadium"	0.153383
"Market Square Arena"	0.150296
"Joe Louis Arena"	0.149636
SkyDome	0.140682
"America West Arena"	0.13993
"Foxboro Stadium"	0.13989
"Busch Stadium"	0.138732
"Pacific Bell Park"	0.134683
"Veterans Stadium"	0.131983
"Nassau Coliseum"	0.131453
"Dodger Stadium"	0.131014
"Delta Center"	0.128451
"Qualcomm Stadium"	0.126654
"RCA Dome"	0.123912
"Compaq Center"	0.123449
Kingdome	0.121937
"RFK Stadium"	0.120421
"Rivers Stadium"	0.120354
"Trans World Dome"	0.116502
"Lambeau Field"	0.116485
"Great Western Forum"	0.116087
"Soldier Field"	0.115831
"Olympic Stadium"	0.115313
"Rose Bowl"	0.112662
"Pro Player Stadium"	0.112486
KeyArena	0.110031
"Wembley Stadium"	0.109882
"Jacobs Field"	0.109501
"Tropicana Field"	0.108682
"Conseco Fieldhouse"	0.107215
"Devil Stadium"	0.107123
"Giants Stadium"	0.106469
"Marine Midland Arena"	0.106338
"Reunion Arena"	0.106216
"Candlestick Park"	0.105134
"Comiskey Park"	0.105035
"Turner Field"	0.105008
"County Stadium"	0.103683
"Camden Yards"	0.100499
"MCI Center"	0.100099
"Oakland Coliseum"	0.0995753
"Sanford Stadium"	0.0989542
FleetCenter	0.0978877
"Roland Garros"	0.0978445
"Cinergy Field"	0.0972786
"Coors Field"	0.0959319
"Cotton Bowl"	0.095202
Foxboro	0.0947025
"United Center"	0.0945632
Superdome	0.0920218
"Civic Arena"	0.0905142
"Georgia Dome"	0.090401
"Enron Field"	0.0902731
"Edison Field"	0.0900753
"Continental Arena"	0.088306
Wrigley	0.0871271
"Comerica Park"	0.0870501
Alamodome	0.0862105
"Yankee Stadium"	0.085119
"U.N. Headquarters"	0.0848763
"Fleet Center"	0.0841737
Astrodome	0.0839073
"Tiger Stadium"	0.0838372
"Miami Arena"	0.0831313
Coliseum	0.0807783
"Stade Velodrome"	0.0793866
Safeco	0.0790977
"Kiel Center"	0.0789724
"Old Trafford"	0.0780731
"Wrigley Field"	0.0780171
"Pauley Pavilion"	0.0778452
"Mercy Hospital"	0.0773676
"Pikes Peak"	0.0770981
"Fenway Park"	0.0761631
Wembley	0.0758896
"Melbourne Park"	0.075042
"Jack Kent Cooke Stadium"	0.0734219
"Ebbets Field"	0.0732882
"Shea Stadium"	0.0731687
"Stade de France"	0.0731246
Shea	0.0724894
Meadowlands	0.0710605
"Philips Arena"	0.0706272
"Melbourne Cricket Ground"	0.0696178
"Safeco Field"	0.0694443
Fenway	0.0692839
Pir	0.0683814
"First Union Center"	0.0681028
Tanglewood	0.0675386
"standing room"	0.066634
"Longwood Cricket Club"	0.06572
"Stamford Bridge"	0.0654987
"sports arena"	0.0646443
Belfry	0.0633139
"National Stadium"	0.0632666
"Millrose Games"	0.062158
"Federal Reserve Bank"	0.0609831
Macworld	0.0608445
"Loch Lomond"	0.060788
"Riviera Country Club"	0.0600732
Staples	0.0595822
"Olympic Park"	0.0584253
"New York Film Festival"	0.0569897
"German Open"	0.0568169
"Memorial Stadium"	0.0563824
"General Services Administration"	0.0559407
"Royal Birkdale"	0.0551844
"Santa Anita"	0.0547933
"LA COSTA"	0.0541522
Longwood	0.0541268
Daytona	0.0533704
COMDEX	0.0529294
"Continental Airlines Arena"	0.0529144
"Orange Bowl"	0.0526043
"Maple Leaf Gardens"	0.0525831
"MGM Grand"	0.0525672
"Polo Grounds"	0.0523146
Stormont	0.0523116
"Augusta National"	0.0522663
Messina	0.0516703
"World Basketball Championship"	0.0511915
"Flushing Meadows"	0.0507945
"Pac Bell Park"	0.050704
"Bay Hill"	0.0505966
Anfield	0.0505098
"Kuala Lumpur International Airport"	0.0502666
"Furman University"	0.0494539
"Fort Campbell"	0.0494277
Medinah	0.0493605
"St. Andrews"	0.0491443
"Ben-Gurion Airport"	0.0490733
"New York City Opera"	0.0490269
"Sacramento State"	0.0488148
Indy	0.0485372
"Farrar, Straus &AMP; Giroux"	0.048179
Coors	0.0480796
Carnoustie	0.0477068
"National Tennis Center"	0.0474785
"University of Kansas"	0.0470272
"West Ham"	0.0468656
"Fort Lewis"	0.0468599
"civic center"	0.0467335
Saint-Denis	0.0467301
candlestick	0.0467003
"O'Hare International Airport"	0.0466302
buzzer	0.0465061
Irwindale	0.0460931
"Kauffman Stadium"	0.0460791
"Villa Park"	0.045915
"Harare International Airport"	0.0458724
"East Lake"	0.0458462
"Pleasant Valley"	0.0455316
"Pepsi Center"	0.0454043
"Bangkok Asian Games"	0.0452557
"Pinehurst No. @"	0.0448699
"Catholic Charities"	0.044838
"rose garden"	0.0441917
"Atlanta History Center"	0.0439737
midcourt	0.0432382
"Plaza Hotel"	0.0430983
"National Press Club"	0.0429737
"Barcelona Games"	0.0429176
"Italian Open"	0.0428704
"Belmont Park"	0.0428139
"State House"	0.0427933
"Olympic Club"	0.0422305
"Fair Grounds"	0.0420991
"Diaoyutai State Guesthouse"	0.0419155
"Senior Bowl"	0.0417855
"Wake Forest"	0.0416566
"Mount Sinai Hospital"	0.0414767
"Pan Am Games"	0.0413226
"Southeast Asian Games"	0.0412685
"Michigan Speedway"	0.0412623
"Missouri River"	0.0411599
Omni	0.0410818
Martinsville	0.0409824
Sahalee	0.0405763
"Copa America"	0.0404289
courtside	0.0404234
"Texas Motor Speedway"	0.0404181
CIRC	0.0402829
walk-up	0.0402474
"Northern Arizona"	0.0401442
))
(Arroyo (desc 3399.52) (sims
Insulza	0.118142
Mukora	0.100235
"Huang Ju"	0.0993515
Moratinos	0.098929
Zeng	0.0978633
Kagalovsky	0.0959632
Choi	0.0885963
Imperatori	0.0857004
Gosper	0.0850584
Jia	0.0835131
Luo	0.0829319
"Jia Qinglin"	0.0821104
Fagan	0.0815865
Barbour	0.0798816
Ganga	0.0788942
Qiao	0.0771704
Cao	0.076931
Sahnoun	0.0756843
Rawabdeh	0.0754567
Smirnov	0.0753393
Diouf	0.0750224
Cheng	0.0747189
Malan	0.0743781
Mikhailov	0.0739041
Yu	0.0738143
Rodionov	0.0730358
Haughey	0.0726558
Callaghan	0.0720075
DeFrantz	0.0720067
Musa	0.0714622
Coles	0.0713047
"Caroline Kennedy Schlossberg"	0.0713031
Meskini	0.0707175
Venecia	0.0705086
Boesak	0.0705037
Berenson	0.0704242
Granic	0.0703002
Hu	0.070214
Guterres	0.0701941
Surin	0.0695154
Kalejs	0.0694523
D'Amico	0.0693235
Huang	0.068734
Ahtisaari	0.0686415
Fu	0.0684179
Riady	0.068285
Zou	0.0680405
Kwasniewski	0.067864
Lazaro	0.0677569
Papon	0.0674078
guo	0.0673311
Beilin	0.067299
Kasoulides	0.0672441
Soliah	0.0670146
Suarez	0.0668954
Narayanan	0.0664798
Rifkind	0.0662917
Wilkerson	0.0660878
Ashrawi	0.0660376
Xanana	0.0660336
Ben-Ami	0.0659083
Husseini	0.0658592
Kang	0.0658339
Kok	0.0656995
Advani	0.0656465
Kostov	0.0656255
Klima	0.0656055
Wei	0.0655337
Jenoff	0.0654581
Rau	0.0653058
Mlicki	0.0652762
Tua	0.0651809
wen	0.0650386
Siazon	0.0650137
Bonner	0.0648782
Calloway	0.064863
Lipponen	0.0648438
Ciampi	0.0647985
Rosenblatt	0.0645987
Kazhegeldin	0.0645912
"John Kim"	0.0645497
Abdel-Meguid	0.0645413
Mercado	0.0642338
Kessler	0.0640187
Tung	0.0639212
Lim	0.0637795
Sharma	0.0636872
Marinovich	0.0636715
Contreras	0.0636567
Whitacre	0.0635791
Un-yong	0.0634827
Borodin	0.0634701
Aznar	0.0634568
Tian	0.0633899
Kato	0.0633286
Meguid	0.0632531
"Faisal Husseini"	0.0630639
Nzo	0.0630482
Xiong	0.0629667
Bhutto	0.0629017
Myhrvold	0.0628939
"Khin Nyunt"	0.0628697
Leghari	0.0626034
Jayakumar	0.0624976
Capano	0.0624321
Flores	0.0623492
Hanley	0.0621398
Saramago	0.0618481
Shaath	0.0618337
Maslyukov	0.0618258
Kabariti	0.0618013
Jorgensen	0.0617776
Azizah	0.0617159
Gotti	0.0617072
"Juan Miguel"	0.0616088
Juncker	0.0615543
Komura	0.0615409
Orban	0.0613688
Nujoma	0.0612652
Gonzales	0.0612601
Nasrallah	0.0610817
Phieu	0.0610778
Yang	0.0609667
Lazarenko	0.0608222
Bakaly	0.0607742
Yoo	0.0607605
Bruton	0.0604657
Luong	0.0604479
Ramseys	0.0601691
"Phil Coles"	0.0601507
Wilhelm	0.0598169
"Defense William Cohen"	0.0597491
"Li Tieying"	0.059674
Faget	0.0596009
Soares	0.0595913
Eizenstat	0.0594702
Samper	0.0593457
Tevanian	0.0593164
Liao	0.0592048
"Liu Huaqing"	0.0591639
Stoyanov	0.0591334
Cianci	0.0589963
Tran	0.0589524
Seleznyov	0.0588974
Maradona	0.0587887
Ahern	0.0587615
Moreno	0.0587209
estes	0.0586959
Nkabinde	0.0585765
Rojas	0.0585429
Brahimi	0.0584875
Padilla	0.0583528
Espinoza	0.0581785
xu	0.058169
Agca	0.0581032
Krasniqi	0.0579401
Farris	0.0579371
Jelisic	0.0578085
Zheng	0.0577658
Zarb	0.0577573
Petersen	0.0577405
Moehler	0.057617
Cullen	0.0575556
"Charles Mukora"	0.057467
Banzer	0.0574505
Ruehe	0.0574487
Velayati	0.0574313
Feldman	0.0573905
Gurule	0.0573874
Arizmendi	0.0573696
Alderson	0.0573632
Rapp	0.0572419
Marichal	0.0572319
Pulsipher	0.0571398
Duran	0.0570951
Richey	0.0568949
Hagel	0.0567994
Kimes	0.056756
"Princess Anne"	0.0566531
Schourek	0.0566182
Hamid	0.0565084
Moyer	0.0564569
"Al Fayed"	0.0563983
Carruth	0.0563684
Harrick	0.0563391
Rashid	0.0562791
LeBlanc	0.0562043
Mudge	0.0561807
"Brian Moehler"	0.0561284
Kim	0.0560339
Tong	0.0559483
Jovanovic	0.0559052
Chen	0.0558247
"Caroline Kennedy"	0.055791
Craxi	0.0557901
Sampaio	0.0557827
Krajisnik	0.0557538
Torres	0.0557337
Bedie	0.0557193
Taubman	0.0556236
))
(Arsenal (desc 56865.1) (sims
"Manchester United"	0.177193
Liverpool	0.163136
Middlesbrough	0.158924
Everton	0.158037
"Aston Villa"	0.150016
"Newcastle United"	0.149745
"Leeds United"	0.143193
stockpile	0.141632
Juventus	0.138238
Chelsea	0.137356
Newcastle	0.130243
"Real Madrid"	0.129037
"Nottingham Forest"	0.127405
"AC Milan"	0.126313
Tottenham	0.12488
Leeds	0.124211
Sunderland	0.117915
"West Ham"	0.115634
"West Ham United"	0.114612
"nuclear weapon"	0.113791
"Tottenham Hotspur"	0.112462
"Bayern Munich"	0.110758
"Derby County"	0.109824
Southampton	0.109697
Barcelona	0.105586
"Blackburn Rovers"	0.0993522
Blackburn	0.0992009
"Coventry City"	0.0989196
Galatasaray	0.0978069
"nuclear warhead"	0.0967679
weaponry	0.0962269
"Inter Milan"	0.0958304
Ajax	0.0952961
"Leicester City"	0.0935767
Leicester	0.0924866
weapon	0.0915599
Parma	0.0850128
Fiorentina	0.0819148
"PSV Eindhoven"	0.081707
"Olympique Marseille"	0.0806076
Charlton	0.0803956
fleet	0.0801626
Watford	0.0800339
"Borussia Dortmund"	0.0788385
Sheffield	0.0787294
warhead	0.0783872
Inter	0.0766088
club	0.07598
Bayern	0.0759763
Benfica	0.0758736
Coventry	0.0756279
Kaiserslautern	0.0748572
Valencia	0.0748571
"Ajax Amsterdam"	0.0738715
inventory	0.0733908
Olympiakos	0.0725134
Brondby	0.0708634
missile	0.0706896
"Dynamo Kiev"	0.0704659
Lazio	0.0701979
Udinese	0.0701935
Anderlecht	0.0699451
England	0.0686497
cache	0.0681861
capability	0.0680762
"D.C. United"	0.0675581
"Glasgow Rangers"	0.0675343
Wimbledon	0.0673082
armament	0.067263
MetroStars	0.0668046
"Atletico Madrid"	0.0662794
Denmark	0.066213
"Crystal Palace"	0.0662061
Panathinaikos	0.0647558
Feyenoord	0.0640437
"weapons system"	0.0639033
Celtic	0.0630333
armory	0.0621537
"Dalian Wanda"	0.0620877
ranger	0.0613551
corinthian	0.0611923
"Shanghai Shenhua"	0.0604423
Brazil	0.0598116
"military force"	0.0593665
Internazionale	0.0591384
Argentina	0.0590323
"Boca Juniors"	0.058826
"armed forces"	0.0587224
Porto	0.0582776
Flamengo	0.0582246
Norway	0.057942
"defense system"	0.0575058
squad	0.0571899
LSU	0.0567989
spur	0.0565836
Monaco	0.056473
"Red Wings"	0.0563855
"Lindsay Davenport"	0.0562937
"South Korea"	0.0558256
Marseille	0.0558218
galaxy	0.055809
Proliferation	0.0549423
"ballistic missile"	0.0548977
military	0.0547471
portfolio	0.0547464
gunner	0.0546112
"River Plate"	0.0545309
"Dallas Stars"	0.0543832
"Detroit Red Wings"	0.0543455
"Yevgeny Kafelnikov"	0.0541764
"Air Force"	0.0541712
firepower	0.0539559
Croatia	0.0538522
Roma	0.0538215
"Steffi Graf"	0.053775
Scotland	0.0537006
array	0.0535098
armada	0.0533695
"Martina Hingis"	0.0533524
bomb	0.0533327
Lakers	0.0533158
supply	0.0532534
workforce	0.0531256
"military capability"	0.0530901
army	0.0530054
Giants	0.0529343
bruin	0.0526618
Villa	0.0525794
France	0.0525
"Bayer Leverkusen"	0.0524695
league	0.0524194
reserve	0.0523026
Italy	0.0519581
Germany	0.0518377
Orioles	0.0516971
Celtics	0.051648
pacer	0.0513876
infrastructure	0.0513048
Netherlands	0.0512981
submarine	0.0512941
"Chicago Bulls"	0.0511577
rocket	0.0509137
Seahawks	0.0505996
"Michigan State"	0.050533
UCLA	0.0505041
Paraguay	0.0504445
ASTROS	0.0503995
dodger	0.0503766
"Tampa Bay"	0.0503355
Yankee	0.0502815
oiler	0.0502097
Sweden	0.0501347
"Florida State"	0.0501306
wildcat	0.0500143
Blackhawks	0.0498531
"New York Yankees"	0.0498333
"Virginia Tech"	0.049797
operation	0.0497628
soccer	0.049746
sabre	0.0493908
troop	0.0493597
"Patrick Rafter"	0.0493255
Manchester	0.0492328
Knicks	0.0492001
Palmeiras	0.049176
Bordeaux	0.0490767
"Pete Sampras"	0.0489885
collection	0.048842
"Red Sox"	0.0488403
"budget deficit"	0.0487738
Clemson	0.0487672
lens	0.0487602
facility	0.0486792
Stanford	0.0485878
possession	0.0485434
depot	0.0482346
technology	0.0481325
Canadiens	0.0481084
Defense	0.0479155
"South Africa"	0.0478965
equipment	0.0477862
network	0.0477241
presence	0.04772
"work force"	0.0476589
"Montreal Canadiens"	0.0476359
Australia	0.0476244
Yugoslavia	0.0476118
flyer	0.0476051
quantity	0.0475438
"Cincinnati Reds"	0.0475103
Nantes	0.0474631
production	0.0474587
USC	0.0474324
"Los Angeles Lakers"	0.0473752
Cameroon	0.0473593
"Maple Leafs"	0.0472528
"Czech Republic"	0.0472011
gun	0.0471855
Detroit	0.0471817
Bulgaria	0.0469725
))
(arsenic (desc 9653.45) (sims
cyanide	0.237146
dioxin	0.229996
cadmium	0.229776
"carbon monoxide"	0.202343
asbestos	0.199661
chromium	0.190052
chlorine	0.189953
benzene	0.186235
mercury	0.172793
Radon	0.163188
sulfur	0.161489
PCBs	0.15611
pesticide	0.155616
nitrogen	0.146002
contaminant	0.141806
beryllium	0.134695
fluoride	0.133581
cryptosporidium	0.13341
bacteria	0.131815
toxin	0.129977
"hydrogen sulfide"	0.129974
phosphorus	0.129075
radioactivity	0.124086
chloride	0.122577
PCB	0.120513
coli	0.118931
dioxide	0.118616
ozone	0.118332
Zinc	0.117587
chemical	0.117423
pollutant	0.1159
salmonella	0.115216
listeria	0.113624
manganese	0.11315
uranium	0.112478
carcinogen	0.109884
plutonium	0.109644
particulates	0.106414
dioxins	0.105963
tremolite	0.105274
iodine	0.104415
"nitrogen oxide"	0.10435
radiation	0.104124
MTBE	0.101494
microorganism	0.101016
hydrocarbon	0.0989933
metal	0.0981785
Calcium	0.0951196
smog	0.0946935
"carbon dioxide"	0.0937727
glucose	0.0919946
Sulphur	0.091812
Sarin	0.0903216
potassium	0.0902628
pollen	0.0901615
soot	0.0898849
methanol	0.0896372
residue	0.0891556
DDT	0.0889436
"nitrous oxide"	0.0888451
nitrate	0.0886191
anthrax	0.0876123
methane	0.0872415
nicotine	0.0864528
"nitrogen dioxide"	0.0862252
acid	0.085523
poison	0.0854359
selenium	0.0844556
impurity	0.0839478
"sulfur dioxide"	0.0833831
testosterone	0.0832386
formaldehyde	0.0829998
germ	0.0814011
spore	0.0804445
leptin	0.0794812
contamination	0.0790116
folate	0.0786806
alcohol	0.0786054
fume	0.0783833
tar	0.078284
fungus	0.077964
"organic compound"	0.0779092
magnesium	0.077655
fungicide	0.0775647
"toxic waste"	0.0768416
substance	0.0767011
caffeine	0.0765815
"ground water"	0.0763496
"vitamin E"	0.0763246
microbe	0.0756135
estrogen	0.0753768
"acid rain"	0.074787
Nickel	0.0744634
carbon	0.0743414
bacillus	0.0740579
melatonin	0.0729916
"blood sugar"	0.0728326
gas	0.0720717
dust	0.0718047
"air pollution"	0.0708476
"vitamin C"	0.0707374
Copper	0.0705254
solvent	0.0704943
algae	0.0704574
lycopene	0.0697918
emission	0.0695383
particle	0.0695299
protein	0.0693247
VX	0.0692601
allergen	0.0688252
virus	0.0685552
cobalt	0.0684375
Sewage	0.0683977
hormone	0.0679938
"AIDS virus"	0.0677564
pollution	0.067748
parasite	0.0677255
salinity	0.067628
"chemical compound"	0.067486
herbicide	0.0673282
antioxidant	0.0668347
ammonia	0.0667333
radium	0.0666132
"growth hormone"	0.0662177
"water vapor"	0.0661919
mineral	0.0656069
hGH	0.0655681
defoliant	0.0650637
groundwater	0.0644557
"nerve gas"	0.0643124
tungsten	0.0642845
oxygen	0.0642291
vitamin	0.0641338
GHB	0.06393
pathogen	0.0638919
giardia	0.0631765
"chemical agent"	0.0627231
tritium	0.0626526
O@@@:H@	0.061695
nutrient	0.0616583
moisture	0.0615331
"lead poisoning"	0.0613395
bacterium	0.0609118
fiber	0.0604918
fungi	0.0597849
vapor	0.0596706
ephedrine	0.0591085
homocysteine	0.0588575
HDL	0.0588123
HIV	0.0586386
insecticide	0.0586334
"nitric oxide"	0.0584122
feces	0.0581731
CO@	0.0580715
"vitamin A"	0.0579568
intoxication	0.0576242
isotope	0.0574598
"vitamin D"	0.0574497
cholesterol	0.0570874
melanoma	0.0570827
"red blood cell"	0.0569545
antigen	0.0567184
Herceptin	0.0564702
powder	0.056284
UV	0.0557428
cocaine	0.0555291
poisoning	0.0555209
organism	0.0551339
ore	0.0551194
"free radical"	0.0550628
"foot-and-mouth disease"	0.0546419
lithium	0.0545497
dopamine	0.0545008
penicillin	0.0542687
starch	0.0541398
titanium	0.0540203
gasses	0.0538925
cholera	0.0535726
EPO	0.0531446
talc	0.0526633
toxicity	0.0526343
"amino acid"	0.0525896
nandrolone	0.0524104
steroid	0.0522721
creatine	0.0521865
"nitric acid"	0.0520038
"folic acid"	0.0515554
hemoglobin	0.0514189
"ultraviolet radiation"	0.0513147
coolant	0.0509628
aluminum	0.050773
vermiculite	0.0505405
preservative	0.0505293
"tear gas"	0.0505197
carotene	0.0504029
silt	0.0503616
insulin	0.0500832
aromatics	0.0500122
"fatty acid"	0.0499855
serotonin	0.0499146
))
(arson (desc 16293) (sims
burglary	0.254986
"armed robbery"	0.251362
vandalism	0.240072
"sexual assault"	0.233584
"grand larceny"	0.230993
robbery	0.23083
kidnapping	0.227745
homicide	0.222923
larceny	0.218312
manslaughter	0.215502
rape	0.212943
theft	0.211889
extortion	0.208638
looting	0.207225
endangerment	0.204545
"child abuse"	0.201099
murder	0.19398
sodomy	0.19347
hijacking	0.19015
abduction	0.189428
sabotage	0.18001
shoplifting	0.170953
racketeering	0.169661
burnings	0.169342
bribery	0.168717
forgery	0.167703
embezzlement	0.166804
assault	0.163814
sedition	0.159473
"mail fraud"	0.158398
break-in	0.154717
"securities fraud"	0.150922
conspiracy	0.150027
"tax evasion"	0.147742
torture	0.145612
harassment	0.144618
tampering	0.143059
killing	0.143038
felony	0.141943
intimidation	0.140113
molestation	0.139644
crime	0.136485
"drug trafficking"	0.134183
espionage	0.133906
rioting	0.133222
"mass murder"	0.132513
"money laundering"	0.13158
fraud	0.131417
terrorism	0.130835
trespass	0.129164
"resisting arrest"	0.127213
carjackings	0.127121
assassination	0.126162
subversion	0.12584
"disorderly conduct"	0.125667
smuggling	0.125264
"breach of trust"	0.125112
infanticide	0.12456
treason	0.124003
suicide	0.123026
bombing	0.122843
poisoning	0.122218
blackmail	0.12156
banditry	0.121013
"foul play"	0.119591
beating	0.118441
slaying	0.117236
stabbings	0.117132
abuse	0.117002
perjury	0.116556
maiming	0.116086
violence	0.115821
genocide	0.114586
hostage-taking	0.114522
negligence	0.114301
"high treason"	0.113851
"stolen property"	0.112418
"insider trading"	0.11086
incest	0.108789
"assault and battery"	0.107879
"war crime"	0.107469
obstruction	0.10717
mugging	0.107055
trafficking	0.106515
prostitution	0.105604
mutilation	0.103992
riot	0.103306
piracy	0.103097
"drive-by shooting"	0.102881
shooting	0.102459
gunrunning	0.101898
massacre	0.10004
violation	0.0999418
holdup	0.0990926
stalking	0.0990833
cleansing	0.0982977
mischief	0.0970243
murder-suicide	0.0969236
destruction	0.0968195
"sexual harassment"	0.0965738
incitement	0.0961595
misconduct	0.095821
"false imprisonment"	0.0950386
indecency	0.094813
corruption	0.094542
atrocity	0.0933058
cover-up	0.0930391
possession	0.0927911
graft	0.0927193
cruelty	0.0915242
dereliction	0.091486
driving	0.0911162
"murder charge"	0.0904307
"bomb blast"	0.0898182
hooliganism	0.0892948
mutiny	0.0891989
pillaging	0.0888152
neglect	0.088699
spying	0.0883931
brutality	0.0866771
misdemeanor	0.0863404
explosion	0.0861155
wrongdoing	0.0853011
persecution	0.0844577
malpractice	0.0839218
complicity	0.0838219
misuse	0.0828969
pillage	0.0817084
coercion	0.0812492
mayhem	0.0804383
"drug use"	0.0804151
"contempt of court"	0.0804089
lawlessness	0.0798575
blasphemy	0.079826
adultery	0.0796988
lynching	0.0793928
plunder	0.0789438
incident	0.0788577
bribe-taking	0.0780685
terror	0.0778845
unrest	0.0778295
shelling	0.0778139
accident	0.0777193
ambush	0.077531
irregularity	0.0770942
disappearance	0.0768119
"drug abuse"	0.0767384
solicitation	0.0767244
bloodshed	0.0755268
"organized crime"	0.0753374
strangulation	0.0747966
expulsion	0.0747923
eviction	0.0746165
offence	0.0742813
battery	0.0737739
demolition	0.0731344
coverup	0.0730359
misappropriation	0.0729621
libel	0.0728757
dumping	0.0727713
leak	0.0725673
manipulation	0.0721475
"car bomb"	0.0718303
drownings	0.0716865
firebomb	0.0707235
maltreatment	0.0706061
raid	0.0704832
"election fraud"	0.0699136
defamation	0.0697751
desecration	0.0695073
abandonment	0.0692006
poaching	0.0686796
"lying under oath"	0.0685323
blaze	0.0684683
mistreatment	0.0671711
disturbance	0.0671524
Execution	0.0664149
"civil disobedience"	0.0658867
burning	0.0658852
mismanagement	0.0657622
invasion	0.0657536
bomb	0.0650142
deportation	0.0649719
"air raid"	0.064741
scam	0.0645539
gunfire	0.0644203
discrimination	0.0642201
gunplay	0.0637454
plagiarism	0.0635686
disloyalty	0.0629563
reprisal	0.0628937
seizure	0.0628291
torching	0.0624684
"fatal accident"	0.0621699
price-fixing	0.0620431
deception	0.0617965
cannibalism	0.0609957
vote-buying	0.0609953
aggression	0.0608987
enrichment	0.0608586
))
(arsonist (desc 5120.63) (sims
rioter	0.221839
vandals	0.181207
looter	0.154138
burglar	0.143566
robber	0.135422
"child molester"	0.129173
Rapist	0.125287
assailant	0.116498
thief	0.112855
mugger	0.106008
attacker	0.102673
firebomb	0.101739
assassin	0.0967623
hacker	0.0960517
terrorist	0.0951168
poacher	0.0948055
hooligan	0.0924875
lawbreaker	0.0914863
kidnapper	0.0914489
bandit	0.0908496
pedophiles	0.0902113
smuggler	0.0891995
thug	0.0883903
perjurer	0.0867289
murderer	0.0863609
"drug dealer"	0.0847665
saboteur	0.084688
mob	0.0836831
shoplifter	0.0834014
rustler	0.0819598
"drug trafficker"	0.0814218
counterfeiter	0.0810044
Killer	0.0797119
extremist	0.0782698
"Rafael Resendez-Ramirez"	0.0768687
gunmen	0.0765279
gunman	0.0753103
"drug lord"	0.0734363
wrongdoer	0.0734025
perpetrator	0.0716261
blackmailer	0.0715808
Vandal	0.0713737
fundamentalist	0.0710387
evaders	0.0706329
paramilitary	0.069927
bomber	0.0693577
gangster	0.0686295
HITMAN	0.0673237
"Hurricane Hugo"	0.0665427
trafficker	0.0665414
hoodlum	0.0660186
intruder	0.065344
abuser	0.0643322
Pusher	0.0640747
TORTURER	0.0634329
stalker	0.0628331
pickpocket	0.0622574
"serial killer"	0.0622476
neo-Nazis	0.0612222
adulterer	0.0608259
pedophile	0.0606266
illegals	0.0605322
"Angel Maturino Resendiz"	0.0602109
forger	0.0601892
extortionist	0.0595578
swindler	0.0587555
vigilante	0.0586802
marauder	0.0582586
plotter	0.0581166
arson	0.0578152
conspirator	0.0576475
"Eric Robert Rudolph"	0.0573474
"car bomb"	0.0573474
squatter	0.0564909
serviceman	0.0560745
"Eric Rudolph"	0.0554663
beater	0.0552987
logger	0.0552691
Davidians	0.0551511
stone-throwers	0.0547712
demonstrator	0.0545919
"war criminal"	0.0544216
profiteer	0.0544102
violator	0.0539919
culprit	0.0534745
troublemaker	0.0533092
accomplice	0.0532657
Klansmen	0.0518337
speculator	0.0513071
"Iranian Jews"	0.0512957
militiamen	0.0511842
crook	0.0504262
Hijacker	0.0504025
agitator	0.0494555
Swango	0.0493315
skinhead	0.048598
Resendez-Ramirez	0.048372
spammers	0.048214
anarchist	0.0480109
"cold spell"	0.0479111
Libyan	0.0479046
heatwave	0.0473161
colonizer	0.0472736
Sarsour	0.0472284
marcher	0.0471036
pornographer	0.0470892
lightning	0.0470577
locust	0.0470166
sniper	0.0469945
juvenile	0.0467911
"foul play"	0.0467264
snakehead	0.0462747
sympathizer	0.0462454
rightist	0.0461348
artillery	0.0459427
"air raid"	0.0454736
aggressor	0.0453014
Mims	0.0452603
protestor	0.0452531
"bomb blast"	0.0450686
provocateurs	0.0449232
deserter	0.0448276
racketeer	0.044804
furrow	0.0447614
"hit man"	0.044656
Typhoon	0.0446545
warplanes	0.0446268
"Branch Davidians"	0.0444497
Laudor	0.0443021
"juvenile delinquent"	0.0440161
Mitch	0.0438592
wildfire	0.0438219
ringleader	0.0437892
Palczynski	0.0436889
Gusinsky	0.0435283
"secret agent"	0.0433127
mobster	0.0426409
exboyfriend	0.0425719
"Inge de Bruijn"	0.0425179
Unabomber	0.0424993
gunboat	0.0424929
"short circuit"	0.0424807
felon	0.042409
"American plane"	0.0423961
screwball	0.0423703
"Bosnian Serb"	0.0421522
"Hurricane Mitch"	0.042063
Agca	0.0420452
"flash flood"	0.0419869
"political dissident"	0.0418959
Yazdi	0.0415336
"engine failure"	0.0415326
"petrol bomb"	0.0414432
"bad guy"	0.0413893
"church member"	0.0413419
Dengue	0.0413066
cheater	0.0411748
miscreant	0.0411609
downpour	0.0411426
"Timothy McVeigh"	0.0411271
"Maturino Resendiz"	0.0410898
temblor	0.0408303
polluters	0.0407978
supremacist	0.040666
Virenque	0.0403993
Klan	0.0402062
"acid rain"	0.0401513
pimp	0.0401193
Raduyev	0.0400924
rainstorm	0.0400509
))
(art (desc 185719) (sims
painting	0.188682
music	0.179759
culture	0.175041
architecture	0.158771
literature	0.157715
science	0.151989
"fine art"	0.14696
photography	0.14069
sculpture	0.137585
sport	0.137383
poetry	0.137362
politics	0.134751
artwork	0.134399
design	0.133358
history	0.133057
Entertainment	0.129385
"folk art"	0.129219
work	0.128659
dance	0.126619
religion	0.126275
style	0.124619
theater	0.123559
artifact	0.12277
antique	0.120392
technology	0.11834
Journalism	0.118112
artist	0.116339
opera	0.115089
film	0.114769
collection	0.112872
education	0.112687
writing	0.112646
craft	0.112489
life	0.112339
language	0.112218
"work of art"	0.111782
philosophy	0.111217
tradition	0.110604
book	0.109812
furniture	0.109188
fashion	0.107578
movie	0.106367
"fine arts"	0.105905
fiction	0.105578
relic	0.105187
image	0.104572
technique	0.104054
object	0.103272
"art form"	0.102827
antiquity	0.102781
subject	0.102008
heritage	0.101539
economics	0.10149
drawing	0.101425
business	0.1003
photograph	0.100129
exhibit	0.0999529
cuisine	0.0990648
"classical music"	0.0989947
calligraphy	0.098952
Exhibition	0.0981044
mathematics	0.0969455
food	0.0965446
museum	0.0961562
medicine	0.0955984
material	0.0954774
piece	0.0952492
show	0.0950367
beauty	0.0948485
Jazz	0.0932204
cinema	0.0929452
nature	0.0926007
drama	0.0923923
landscape	0.0923283
memorabilia	0.0923155
ballet	0.092071
genre	0.0917284
kind	0.0914135
wine	0.0912456
ceramic	0.0911163
animation	0.0907039
character	0.090532
Song	0.0900464
research	0.0898797
treasure	0.0896846
idea	0.0896047
jewelry	0.0891797
masterpiece	0.0891504
world	0.0890333
product	0.0890032
concept	0.0886116
video	0.0881774
civilization	0.0880326
picture	0.0879127
portrait	0.0872596
reality	0.0872393
engineering	0.0866403
archaeology	0.0864225
story	0.0863761
arts	0.0863049
furnishings	0.0861405
experience	0.0861108
study	0.0861069
aspect	0.0860889
physics	0.0858822
cooking	0.0858282
development	0.0856882
folklore	0.0854139
skill	0.0849629
love	0.0849377
Pottery	0.0847279
Advertising	0.0846816
society	0.0846633
comedy	0.0842615
novel	0.0834334
"social science"	0.0832441
thing	0.0832419
psychology	0.0830234
ethic	0.0829964
theory	0.0827102
television	0.0826877
"martial art"	0.0825518
industry	0.0824817
classic	0.0823169
math	0.0822875
health	0.0821497
form	0.082001
democracy	0.0817072
golf	0.081665
teaching	0.0816405
football	0.0816061
display	0.0814124
geography	0.0809512
baseball	0.0807308
talent	0.0805308
sex	0.0803287
biology	0.0802487
astronomy	0.080219
toy	0.0799999
print	0.0798967
innovation	0.079862
vision	0.0798051
musical	0.0797686
program	0.0796711
movement	0.0795589
item	0.0795181
theme	0.0794175
English	0.0792567
theology	0.0789461
gallery	0.0788146
diversity	0.0786596
publishing	0.0786569
programming	0.0786325
spirituality	0.0785168
quality	0.0784376
behavior	0.0783355
environment	0.0781572
tourism	0.0781296
humor	0.0780601
festival	0.077741
gardening	0.0774689
"higher education"	0.0773779
event	0.0770615
Internet	0.0769874
fantasy	0.0769323
law	0.0769128
"popular music"	0.0769048
evolution	0.0768376
marketing	0.0767882
agriculture	0.0765345
photo	0.076527
software	0.076466
gift	0.0760798
garden	0.0758577
soccer	0.0757646
personality	0.0757493
stuff	0.0756145
performance	0.0755554
achievement	0.0754775
media	0.0754263
relationship	0.0754119
scene	0.0753866
profession	0.0753414
Computer	0.075205
tale	0.0750717
information	0.0750436
humanity	0.0749128
spirit	0.0747524
Invention	0.0746788
issue	0.0746723
painter	0.0745708
content	0.0745571
finance	0.074471
activity	0.0744114
commerce	0.0743274
model	0.0742215
learning	0.0741983
everything	0.0739826
handicraft	0.0739042
color	0.0738974
))
("art collection" (desc 5538.13) (sims
artwork	0.0964542
trove	0.0938256
"nest egg"	0.0880247
"race horse"	0.0834379
"work of art"	0.0834303
treasure	0.0798712
"personal property"	0.079823
"landscape painting"	0.0770545
arboretum	0.0759961
archive	0.0754734
cabinetmaker	0.0751279
"burial ground"	0.0750299
"investment portfolio"	0.0732486
"war chest"	0.0723679
artifact	0.071776
"art department"	0.0717677
"oil painting"	0.0717354
commode	0.0715077
antiquity	0.0712085
thoroughbred	0.0706859
"art gallery"	0.0687295
manuscript	0.0680794
Patrimony	0.0665454
relic	0.0665028
antique	0.0639823
fresco	0.062618
"electric company"	0.0623847
"media property"	0.0618845
"concert hall"	0.0613637
"business enterprise"	0.0611946
estate	0.0608898
stables	0.0602336
timepiece	0.0602231
"folk art"	0.0599087
"flour mill"	0.0598728
"art exhibition"	0.0595153
aquarium	0.0594545
"equity stake"	0.0591788
heirloom	0.059127
"law practice"	0.0589132
"art school"	0.0584952
Picassos	0.058264
"crown jewels"	0.0579471
"historical document"	0.0578638
"wine cellar"	0.0570727
harem	0.0565385
"parcel of land"	0.0562449
armada	0.0561393
furnishings	0.0559673
empire	0.0558998
repository	0.0557028
assemblage	0.0548745
"cast of characters"	0.0546274
"military capability"	0.0543912
"distribution network"	0.0542634
memorabilia	0.0537539
belonging	0.0535684
"business interest"	0.053089
Masterworks	0.0530427
"scientific instrument"	0.0528016
"food company"	0.0527027
"piece of land"	0.0522407
"minority stake"	0.0521018
"retail chain"	0.0520775
mausoleum	0.0519825
"line of products"	0.0518709
planetarium	0.0517806
"cattle ranch"	0.0516399
monument	0.0516267
metropolises	0.0513513
"dairy farm"	0.0510131
"research center"	0.0506201
painter	0.0503322
"copper mine"	0.0502381
"gift shop"	0.0502088
"futures exchange"	0.0501925
memento	0.0501687
"botanical garden"	0.0501518
Chateau	0.0500466
"fund-raising campaign"	0.0499807
wetlands	0.0496023
inheritance	0.0495147
racehorse	0.0494724
"insurance market"	0.0493939
ceramic	0.0492474
"exhibition hall"	0.04907
specimen	0.0489849
"art movement"	0.0488737
bordello	0.0488235
ecosystem	0.0486547
grotto	0.0481016
"educational institution"	0.0480826
"art dealer"	0.0480759
"life insurer"	0.048069
repertoire	0.0479904
Castle	0.0479876
storehouse	0.0479619
"highway system"	0.0479249
"man of letters"	0.047895
streetlight	0.0478009
endowment	0.0476845
drugmaker	0.0476291
"opera house"	0.0475823
crematorium	0.0475424
"architectural style"	0.0474631
dynasty	0.0474242
"family business"	0.0474063
collectibles	0.0473886
Palazzo	0.0471159
"Bengal tiger"	0.0470536
"ad blitz"	0.0470349
jewel	0.046823
"town house"	0.0468137
derriere	0.046806
"ballet dancer"	0.0467116
zoo	0.0466381
edifice	0.0465893
archeology	0.0465491
"furniture company"	0.0465353
"jewelry store"	0.0464403
"auto company"	0.0463492
"country house"	0.0463446
"department store chain"	0.0461362
"communications satellite"	0.0461316
"operating budget"	0.0461235
ceramics	0.0459751
eateries	0.0459459
courtesan	0.0458888
"shipping company"	0.0458387
"business line"	0.0457942
"golden parachute"	0.0457601
"coat of arms"	0.0457537
carving	0.0456864
"insurance broker"	0.045643
"compensation package"	0.0455381
freebie	0.0454949
"Print Shop"	0.0454832
"house of worship"	0.045427
"communications network"	0.0452833
intranet	0.0452771
fossil	0.0452748
"particle accelerator"	0.0452606
Triptych	0.0452571
cache	0.0452385
"circulatory system"	0.0451889
clientele	0.0450901
Litigator	0.0450235
shipbuilder	0.0450018
fief	0.0448453
storeroom	0.0448195
finds	0.0447592
"manufacturing business"	0.0447084
"pirate ship"	0.0445434
"jazz band"	0.0444735
"electronics company"	0.0444616
"piece of music"	0.0444407
"publishing company"	0.0444395
repertory	0.044357
sculptor	0.0442257
"opera company"	0.0442239
"two units"	0.0442031
"tax base"	0.0442017
"bond offering"	0.0441789
"tropical rain forest"	0.0441359
thinker	0.044061
accoutrement	0.0439661
"Georges Bank"	0.0439652
"leadership role"	0.0439366
"place of worship"	0.0439233
tract	0.0438559
"Rolls-Royce Motor Cars"	0.0437187
"computer business"	0.0436601
woodwork	0.0436482
"family name"	0.0435684
"summer house"	0.0434518
"chess player"	0.0433051
distillery	0.0432626
cuisine	0.0432165
"old master"	0.0431584
cellist	0.0430669
mummy	0.0430616
makeover	0.0430587
"assembly hall"	0.0429996
atrium	0.0429877
"adventure story"	0.0429848
carmakers	0.042969
"medical institution"	0.0429043
kiln	0.0428647
MYSTIQUE	0.0427394
timberland	0.042647
"shopping mall"	0.0426451
brewery	0.0426131
"musical group"	0.0425033
"toy maker"	0.0422661
"sum of money"	0.0422656
wardrobe	0.0422625
"literary work"	0.0422089
"natural resource"	0.0421917
theologian	0.0421097
"steel mill"	0.0420998
))
("art dealer" (desc 6329.33) (sims
"interior designer"	0.128756
decorator	0.115868
"art historian"	0.113417
collector	0.107489
dealer	0.0930332
psychoanalyst	0.0925721
restaurateur	0.0921774
"fashion designer"	0.091714
sculptor	0.0899688
"literary agent"	0.0893011
"landscape architect"	0.0890846
"interior decorator"	0.085865
"auction house"	0.0846482
socialite	0.0843115
"art gallery"	0.0823752
"real estate developer"	0.0819321
"police lieutenant"	0.0814239
philanthropist	0.0798877
musicologist	0.0798742
businessman	0.0790184
paleontologist	0.0782746
"art student"	0.0781785
financier	0.0774146
"film producer"	0.0773128
jeweler	0.07549
"business executive"	0.0743219
"real estate agent"	0.0721404
illustrator	0.0713443
philosopher	0.071037
painter	0.0702275
clergyman	0.0700941
literati	0.0698834
dermatologist	0.0698563
architect	0.069597
historian	0.0694769
auctioneer	0.0689682
businesswoman	0.0685544
Industrialist	0.0683875
dramatist	0.0681444
designer	0.0674679
restorer	0.0674187
"art school"	0.0674071
newspaperman	0.0671435
banker	0.0670763
cabinetmaker	0.0670071
cabdriver	0.0669525
"plastic surgeon"	0.0669086
"investment banker"	0.0668179
archeologist	0.0667894
oilman	0.0664681
essayist	0.0661
calligrapher	0.065887
linguist	0.0657833
winemaker	0.0656926
photographer	0.0654544
stuntman	0.0652982
mathematician	0.0650354
cartoonist	0.0649187
"art teacher"	0.0649154
"real estate broker"	0.064841
Futurist	0.0647114
theologian	0.0643354
"police sergeant"	0.064139
curator	0.0639874
Playwright	0.0627248
educator	0.0624294
"insurance broker"	0.0623699
tycoon	0.0621769
entrepreneur	0.0621625
"management consultant"	0.0621179
"aerospace engineer"	0.062026
"graphic artist"	0.0619159
heiress	0.0616168
obstetrician	0.0615617
Bostonian	0.0613876
geologist	0.06138
"newspaper editor"	0.0613498
radiologist	0.0611803
stockbroker	0.0609956
chef	0.0609853
filmmaker	0.0608963
musician	0.0606144
merchant	0.0600769
pediatrician	0.0595176
poet	0.0595109
archivist	0.0588904
archaeologist	0.058763
nobleman	0.0586394
hairdresser	0.0584298
"social worker"	0.0583778
"jazz musician"	0.0582482
"advertising agency"	0.0582324
"bon vivant"	0.0581848
stylist	0.0578675
connoisseur	0.057845
"stamp collector"	0.0576487
"school teacher"	0.0575238
"car dealer"	0.0575132
"computer programmer"	0.0571413
internist	0.0571171
pianist	0.0570844
novelist	0.0570683
physicist	0.0570681
jurist	0.0570175
neurologist	0.0568451
sommelier	0.0564727
intellectual	0.0563906
librarian	0.0563145
botanist	0.0563109
"naval officer"	0.0562891
feminist	0.0561723
"costume designer"	0.0559948
oligarch	0.0559479
"social scientist"	0.05592
folklorist	0.0559147
Bostonians	0.0557657
"sea captain"	0.0552976
"venture capitalist"	0.0552922
ornithologist	0.0552156
matron	0.0551339
ophthalmologist	0.0551215
magnate	0.0551181
copywriter	0.0550872
businesspeople	0.0550405
schoolteacher	0.0549715
"police detective"	0.0549276
choreographer	0.0547928
divorcee	0.054696
psychotherapist	0.0545683
"subway train"	0.0543989
"newspaper publisher"	0.054244
"civic leader"	0.054141
bistro	0.0540264
Sotheby's	0.0539391
accountant	0.0539159
"music critic"	0.053866
seamstress	0.0536269
mogul	0.0535915
gentry	0.0534689
emigre	0.0534503
gynecologist	0.0533884
cabby	0.0533264
barrister	0.0532934
major-leaguers	0.053126
sociologist	0.0530478
"consulting company"	0.0528501
lexicographer	0.0528054
developer	0.0526873
"talent agent"	0.0526507
craftspeople	0.0525917
"family doctor"	0.052569
"house painter"	0.0525041
billionaire	0.0524888
demimonde	0.052262
psychologist	0.0522583
"intelligence analyst"	0.0522446
carmakers	0.052175
potter	0.0521028
"call girl"	0.0520885
sportsmen	0.0518875
"labor leader"	0.0518461
hotelier	0.0518306
filmmakers	0.0517305
"investment adviser"	0.0513853
courtesan	0.0513768
aristocrat	0.0513327
clergymen	0.0512215
naturalist	0.0510059
"stage director"	0.0509902
"heart surgeon"	0.0508994
songwriter	0.0508962
"civil engineer"	0.050852
florist	0.0508327
"department store"	0.0508163
optometrist	0.0505929
housewife	0.0505379
cardiologist	0.0505338
cityscape	0.0504484
anthropologist	0.0504368
composer	0.0503591
"man of letters"	0.0502146
conservator	0.0501838
craftsmen	0.0500437
boutique	0.0495559
animator	0.049517
"military man"	0.0494578
statesmen	0.0493255
benefactor	0.049311
"opera company"	0.0493062
rancher	0.0493017
"civil rights leader"	0.049252
shipbuilder	0.0491519
horticulturist	0.0491294
"foster mother"	0.0490362
promoter	0.0489638
"art director"	0.0489458
Litigator	0.0489002
biologist	0.0487439
landlord	0.0487249
"computer scientist"	0.0487125
))
("art deco" (desc 4556.62) (sims
Deco	0.256296
"beaux arts"	0.157648
"Art Nouveau"	0.143434
gothic	0.129367
spiffy	0.0956962
minimalist	0.093803
sandstone	0.0891126
"free form"	0.0850369
glitzy	0.0848307
"wrought iron"	0.0813278
Bauhaus	0.0740796
Lego	0.0727259
manmade	0.0721379
kitschy	0.0701795
marble	0.0693662
fairytale	0.0664398
"terra cotta"	0.0659495
"Conde Nast"	0.0656392
rebuilt	0.0655278
"Greek Revival"	0.0655052
Lucite	0.0647528
"Century City"	0.0645176
granite	0.0642959
oceanfront	0.0639757
noir	0.0625984
Ottoman	0.0614289
curvy	0.0610007
"Old World"	0.0605422
megaplex	0.0601448
teak	0.0596132
"cast iron"	0.0591718
renaissance	0.0588157
two-story	0.0588075
"Park Avenue"	0.0585724
"Hyatt Regency"	0.058112
"stained glass"	0.0580426
Metreon	0.0577796
limestone	0.057729
Eames	0.0574069
"stainless steel"	0.0570052
stucco	0.0568301
Omni	0.0568166
retro	0.0562811
beachfront	0.0559215
bare-bones	0.0553704
Provencal	0.0553153
wraparound	0.0541984
ritz	0.0532767
Midtown	0.0525691
shui	0.0524842
uptempo	0.0521714
Loews	0.051918
lakeside	0.0517387
filigree	0.0514808
bluesy	0.0513648
"wedding cake"	0.0510819
regency	0.0508467
"jet set"	0.0504549
"silent movie"	0.0499458
pre-@@@@	0.0497111
wicker	0.0488307
"Rat Pack"	0.048805
Tiffany	0.0484879
"avant garde"	0.0482684
multilevel	0.0482606
drive-in	0.0477395
Plexiglas	0.0476803
clapboard	0.0475055
"open air"	0.0475026
porcelain	0.047478
cartoonish	0.0462197
bebop	0.0460817
"Midtown Manhattan"	0.0460329
"fine art"	0.0456014
"High Point"	0.0455966
brownstone	0.0454999
"Frank Lloyd Wright"	0.045259
surrealist	0.0450513
tenement	0.0449311
"cinder block"	0.0449303
"folk art"	0.0448123
sought-after	0.0447361
"Fifth Avenue"	0.043649
Edo	0.0436084
Hyatt	0.0430865
world-famous	0.0430679
"deep red"	0.0429014
Gehry	0.0427063
Mayan	0.0423414
"high fashion"	0.0420802
haute	0.0415588
Stormont	0.0415546
"Left Bank"	0.0411777
menswear	0.0410412
"space age"	0.0409657
honeycomb	0.0408473
Motown	0.0405146
Soho	0.040043
))
("art department" (desc 3067.84) (sims
"English department"	0.145295
Impressionist	0.0910432
"National Republican Congressional Committee"	0.0860348
"history department"	0.082877
"economics department"	0.0794339
"Costume Institute"	0.076677
"Council of Economic Advisers"	0.0750512
"National Economic Council"	0.0736138
"House Budget Committee"	0.0721707
"art collection"	0.0717677
"Democratic Senatorial Campaign Committee"	0.0677271
"Congressional Black Caucus"	0.0673052
"Rules Committee"	0.0669091
"Kosovo Verification Mission"	0.0649291
"Cuban American National Foundation"	0.0631163
"Human Rights Commission"	0.0618607
"search committee"	0.0610131
"Senate Budget Committee"	0.0606212
"European Bank for Reconstruction"	0.0587855
"Ways and Means Committee"	0.0583934
"board of trustees"	0.056957
"art movement"	0.0558342
"Commerce Committee"	0.0553309
"Chinese Government Reception Committee"	0.0548732
"Texas Air National Guard"	0.0540624
"Appropriations Committee"	0.0537118
"Democratic Congressional Campaign Committee"	0.0537078
"Federal Deposit Insurance Corp."	0.0535601
"Southern Command"	0.0533846
"folk art"	0.0530146
"military commission"	0.0528442
"National Endowment"	0.0526858
"Olympic Committee"	0.0525078
"governing board"	0.0524623
"interim committee"	0.05235
archaeology	0.0520586
Masterworks	0.0519443
"Peace Corps"	0.0518157
"House International Relations Committee"	0.0516967
"ethics committee"	0.0513007
"business school"	0.0507539
obstetrics	0.0506607
"Foreign Relations Committee"	0.0499368
"Senate Banking Committee"	0.0497742
"Banking Committee"	0.0489667
puppetry	0.0488112
"Economic Planning Agency"	0.0486229
"Democratic Leadership Council"	0.0482093
"Universal Pictures"	0.0477758
"control board"	0.0476624
"House Commerce Committee"	0.0475606
"Nuclear Regulatory Commission"	0.0473495
"Russian Communist Party"	0.0467618
"House Ways and Means Committee"	0.0463568
BIA	0.0459631
archeology	0.0458711
psychiatry	0.0455227
"mechanical engineering"	0.0451139
linguistics	0.0448619
"Atomic Energy Commission"	0.0448178
"Royal Shakespeare Company"	0.0446894
"internal medicine"	0.0445303
"morality play"	0.0443946
"Political Department"	0.0439814
vernacular	0.0438252
"art gallery"	0.0437773
"New Korea Party"	0.0435682
aeronautics	0.0434912
"Nahdlatul Ulama"	0.0431778
"personnel department"	0.0427091
"Palace Museum"	0.0425847
"Senate Governmental Affairs Committee"	0.0424588
Pediatrics	0.0423591
"Museum of Chinese History"	0.0422261
masthead	0.0421446
neurobiology	0.0419882
SDP	0.0419498
criminology	0.0418397
"Rwandan Patriotic Front"	0.0417706
"art exhibition"	0.0417619
"art dealer"	0.0415421
"auction block"	0.0415419
paleontology	0.0415155
bureaus	0.0412406
"Federal Security Service"	0.040959
"Family Research Council"	0.0408617
"fund-raising drive"	0.0408602
"collective farm"	0.0407111
neurology	0.0403797
"art director"	0.0402745
))
("art director" (desc 4808.37) (sims
"costume designer"	0.169293
copywriter	0.158142
"account executive"	0.144288
stylist	0.140409
"graphic artist"	0.134591
cinematographer	0.120886
illustrator	0.113385
publicist	0.111163
"press agent"	0.10645
"copy editor"	0.106235
"managing editor"	0.0992653
photographer	0.0977017
editor	0.0968763
"sales manager"	0.0950823
"interior decorator"	0.0944002
colorist	0.0925049
editor-in-chief	0.0923322
"business editor"	0.0921413
"landscape architect"	0.0904441
"talent scout"	0.0881246
cartoonist	0.087607
co-writer	0.0873158
designer	0.0857615
"stage manager"	0.0850399
cameraman	0.0846053
scoutmaster	0.081043
choreographer	0.0799326
correspondent	0.0793286
co-editor	0.0781792
"stage director"	0.0781713
screenwriter	0.0773275
"music critic"	0.0769894
animators	0.0767913
sportswriter	0.0767225
translator	0.076575
reviewer	0.0763952
Programmer	0.0758201
"sports editor"	0.0753215
"project manager"	0.0752024
animator	0.0751043
"test pilot"	0.0747101
arranger	0.0732924
decorator	0.0728104
scriptwriter	0.0727987
newspaperman	0.0722764
batboy	0.0714326
technician	0.0713726
columnist	0.0709144
co-producer	0.070537
"theater critic"	0.0701005
archivist	0.0700518
coauthor	0.0693738
Litigator	0.0688736
"electrical engineer"	0.0686487
co-owner	0.0680902
filmmaker	0.0680567
curator	0.0679414
sculptor	0.0672639
"aerospace engineer"	0.0671985
painter	0.0670677
typist	0.0662685
"talent agent"	0.0661493
"fashion designer"	0.0657136
"social worker"	0.0655103
"literary agent"	0.0654605
"interior designer"	0.0653908
"intelligence officer"	0.0638908
"computer expert"	0.0638756
lecturer	0.0636365
pallbearer	0.0632195
"sounding board"	0.0631908
vaulter	0.0631215
co-director	0.0630973
"certified public accountant"	0.0628131
"staff officer"	0.0626213
"financial officer"	0.0623192
Deacon	0.0623182
"management consultant"	0.0617089
"second person"	0.0613695
speechwriter	0.0609606
"sports writer"	0.0609218
co-president	0.0609174
"disk jockey"	0.0606377
"baseball coach"	0.0605912
linguist	0.0602437
infantryman	0.0599354
paralegal	0.0595758
"hockey coach"	0.0594936
"executive officer"	0.05947
"software engineer"	0.0593888
dramatist	0.0593732
restaurateur	0.0593409
"art historian"	0.0589057
presenter	0.0588886
"altar boy"	0.0588199
"art student"	0.0582261
stuntman	0.0582226
"film producer"	0.0581668
"newspaper editor"	0.0579855
"disc jockey"	0.057836
"leading lady"	0.0578357
"football coach"	0.0577535
violinist	0.0577151
supervisor	0.0576808
"executive vice president"	0.057434
D.J	0.057396
"registered nurse"	0.0572555
seamstress	0.0570826
organist	0.0569527
"information officer"	0.0568007
deejays	0.056769
cofounder	0.0566598
"Rhodes Scholar"	0.0563262
woodworker	0.0563083
psychotherapist	0.0561056
"postmaster general"	0.0557101
"chairman emeritus"	0.0556993
novelist	0.055682
interpreter	0.0556478
florist	0.0553857
"fall guy"	0.0553409
"board member"	0.0552762
electrician	0.0552702
neurosurgeon	0.055186
"general counsel"	0.0551364
songwriter	0.0550171
communicator	0.0546581
pastor	0.0545357
"volleyball player"	0.0544988
chaperone	0.0543832
stockbroker	0.0541847
cameramen	0.0540738
"guiding light"	0.0539249
proprietor	0.0539245
concertmaster	0.0538037
"pitching coach"	0.0536207
conductor	0.0535007
ensign	0.0534896
abbot	0.0534019
bookkeeper	0.053328
"senior executive"	0.0533221
commandant	0.0531276
troubleshooter	0.0529909
"top dog"	0.0527915
sommelier	0.0527198
"eye doctor"	0.0525749
tutor	0.0525176
instructor	0.0524613
"faculty member"	0.05242
essayist	0.052241
"Susan Stroman"	0.052042
Playwright	0.0519912
"public speaker"	0.0519017
"staff sergeant"	0.051749
"print media"	0.0517065
comedian	0.0514621
CFO	0.0514006
hairdresser	0.0512752
assemblyman	0.0512637
"real estate agent"	0.0512582
filmmakers	0.0512445
"basketball coach"	0.0512089
staffer	0.0511745
paraplegic	0.0511314
"divorce lawyer"	0.0510638
"television star"	0.0509254
"film maker"	0.0508917
"computer programmer"	0.0508737
custodian	0.0507965
saleswoman	0.0507956
evangelist	0.0507903
"chess player"	0.0507871
"fire chief"	0.0503055
accompanist	0.0501896
"music director"	0.0500628
"elder statesman"	0.0500112
"senior vice president"	0.0500002
receptionist	0.0499842
"newspaper publisher"	0.0499541
guidepost	0.0498622
"jazz musician"	0.0497976
narrator	0.0497795
"center of attention"	0.0497115
"decision maker"	0.0496978
"television reporter"	0.0495649
accountant	0.0495406
"English teacher"	0.0495298
"eagle scout"	0.0494825
naturalist	0.0494224
Postmaster	0.0494038
"real estate broker"	0.0493437
"investment banker"	0.0492363
recruiter	0.0492129
librarian	0.0492081
"foster parent"	0.049068
musicologist	0.0489653
"art dealer"	0.0489458
"union representative"	0.0489369
sportscaster	0.0489324
valedictorian	0.0486759
))
("art exhibition" (desc 5159.38) (sims
Exhibition	0.144522
"theatrical performance"	0.14387
Exposition	0.124679
symposium	0.123531
fair	0.117029
"International Symposium"	0.11556
symposia	0.114988
seminar	0.113543
exhibit	0.109478
"rock concert"	0.10555
festival	0.105224
workshop	0.104346
"open house"	0.100706
"International Conference"	0.100218
"World Food Summit"	0.0953472
lecture	0.0941644
concert	0.0922399
gala	0.0911552
retrospectives	0.0900334
"panel discussion"	0.0857525
"Fortune Global Forum"	0.0854726
calligraphy	0.0845944
"World Petroleum Congress"	0.0832415
"wedding ceremony"	0.0811429
teach-in	0.0805645
"World Conference"	0.0804789
"Trade Fair"	0.0803953
recital	0.0802225
soiree	0.0794257
arts	0.0786319
Carnival	0.0776239
"three-day event"	0.0761949
retrospective	0.0761812
"Asia-Europe Meeting"	0.0754465
"summer camp"	0.0747232
"church service"	0.074409
"International AIDS Conference"	0.0743095
"Earth Summit"	0.0739033
"music school"	0.071009
"boat race"	0.0693635
tasting	0.0693425
pageant	0.0692739
banquet	0.0686642
"prayer meeting"	0.0674131
"opera company"	0.0671513
"jam session"	0.0669833
biennial	0.0647001
"social event"	0.0646614
"Palace Museum"	0.0646266
"committee meeting"	0.0641965
pavilion	0.0629104
Website	0.0626682
"variety show"	0.0624174
get-togethers	0.0620452
Expo	0.061642
mini-summit	0.0613362
"tea party"	0.0613312
"educational program"	0.0608399
"World Congress"	0.0606165
"symphony orchestra"	0.0598412
"Ministerial Conference"	0.0596179
"International Congress"	0.0596033
"art collection"	0.0595153
"puppet show"	0.0595134
"training program"	0.0592521
raffle	0.0591889
"art gallery"	0.0589635
"oil painting"	0.0581414
vigil	0.0577672
"religious service"	0.0575252
"World Youth Games"	0.0573574
festivity	0.0572722
"cocktail party"	0.0568811
"gambling casino"	0.0567943
"industrial park"	0.0564043
"musical performance"	0.0563066
"fine arts"	0.0555844
"Fourth World Conference"	0.0555549
"exhibition hall"	0.0555439
"Ministerial Meeting"	0.0547141
"TV program"	0.0544374
"concert hall"	0.0543417
Roundtable	0.0543245
"Fourth Session"	0.054131
"documentary film"	0.0539579
"Winter Olympic Games"	0.0537155
"Consultative Group"	0.0536591
"town meeting"	0.0531707
jamboree	0.053084
"Expo @@@@"	0.0530159
"folk art"	0.0529239
luncheon	0.0529044
"road show"	0.0526689
"science museum"	0.0525658
picnic	0.0523107
parley	0.0521675
troupe	0.0519593
"folk song"	0.0518756
websites	0.0517871
"dog show"	0.051565
"Eighth National Games"	0.0514559
"ASEAN Ministerial Meeting"	0.0509523
"Iron Giant"	0.0508412
"wedding reception"	0.0506467
firework	0.0504016
"protest march"	0.0503558
"vocational school"	0.0503202
rodeo	0.0502675
"First Session"	0.0499225
screening	0.0496021
"world premiere"	0.0494963
fact-finding	0.0494726
five-day	0.0493421
"Science City"	0.0491023
"newspaper ad"	0.0487078
procession	0.0485741
"jazz festival"	0.0483211
extravaganza	0.0482934
"benefit concert"	0.0477594
"religious ceremony"	0.0476744
"horse race"	0.0476559
rehearsal	0.0475758
commemoration	0.0474921
bullfight	0.047428
"marketing campaign"	0.0472838
"Lilith Fair"	0.0472589
ballet	0.0472562
briefing	0.0470919
"dinner party"	0.0470501
"afternoon tea"	0.0469595
"Millennium Summit"	0.0469368
"Macao International Airport"	0.0469342
"Fashion Week"	0.0469123
"South Summit"	0.0468979
AMM	0.0468322
"bicycle race"	0.0465486
"art school"	0.0464561
IGC	0.0464344
Vice-Foreign	0.0463749
cinema	0.0463161
"Huang Ju"	0.0462648
Olympiad	0.0462129
Oktoberfest	0.046201
periodical	0.046104
"Memorial Hall"	0.0460115
circuses	0.0459851
puppetry	0.0459002
brunch	0.0458297
"flea market"	0.0458281
"baseball game"	0.0458199
"China Southern Airlines"	0.0457503
"maritime law"	0.0457155
sightseeing	0.0456947
"TV show"	0.0456063
"Hong Kong Tourist Association"	0.0452528
"prayer service"	0.0450142
"newspaper advertisement"	0.0449865
"distribution network"	0.0449516
"National Games"	0.044823
four-day	0.0447294
reunion	0.0446056
"entertainment center"	0.0444899
"work of art"	0.0444575
stakeout	0.044401
"musical theater"	0.0443595
cabaret	0.0443336
"opera house"	0.0440785
teahouse	0.0440241
"Millennium Dome"	0.0438553
"summit meeting"	0.0438284
"National Congress"	0.0437394
"swimming event"	0.0436399
spacewalks	0.0436391
staging	0.0435035
"basketball game"	0.0434792
powwow	0.0434769
"Second Session"	0.0434661
Impressionism	0.0433805
planetarium	0.0430783
"Hong Kong International Airport"	0.0429974
"extracurricular activity"	0.0429602
"Fifth Session"	0.0427984
quilting	0.0427972
"news briefing"	0.0427734
raiser	0.0427324
"research center"	0.0426436
"amusement park"	0.0425648
emporium	0.0425562
"Special Session"	0.0424531
artwork	0.0424007
"ad campaign"	0.0421975
"East Asian Games"	0.0421075
"fund-raising drive"	0.0421024
"Commonwealth Games"	0.042047
"board meeting"	0.0419934
fiesta	0.0419741
"advertising campaign"	0.0419674
"war game"	0.0418263
"shopping mall"	0.0418198
"World AIDS Conference"	0.0417695
))
("art form" (desc 15273.2) (sims
art	0.102827
genre	0.0840562
medium	0.0783301
culture	0.0775687
hobby	0.0766387
tradition	0.0754327
"work of art"	0.0739169
opera	0.0722738
architecture	0.0714841
cuisine	0.0684151
religion	0.0673239
masterpiece	0.0669738
poetry	0.0667489
literature	0.065509
civilization	0.0650946
pastime	0.0641571
"way of life"	0.0628347
ritual	0.0622628
phenomenon	0.062199
"architectural style"	0.062088
profession	0.0619235
concept	0.061335
fiction	0.0607674
musical	0.0601769
"folk art"	0.0595034
undertaking	0.0590477
"life form"	0.0587724
icon	0.0587481
technique	0.0587414
repertory	0.0581582
entity	0.0580074
Entertainment	0.0577328
artist	0.0576669
language	0.0576634
"school of thought"	0.0573898
"success story"	0.0570855
composer	0.0568939
treasure	0.0563234
"classical music"	0.0562864
specialty	0.056028
"musical theater"	0.0560259
subculture	0.0559566
drama	0.0558913
heritage	0.0558426
Invention	0.0554156
breed	0.0553343
philosophy	0.0552454
trait	0.055238
idiom	0.0550381
theater	0.0548362
"pop music"	0.0545948
classic	0.0545725
"Homo sapiens"	0.0542737
"love story"	0.0540005
rite	0.0538252
symbol	0.0538087
"teaching method"	0.0533856
"fine art"	0.0533213
"written language"	0.0532451
ballet	0.0532252
endeavor	0.0530518
theme	0.0528896
comedy	0.0528243
innovation	0.0527321
Journalism	0.0526332
thinker	0.0526045
choreographer	0.0524955
mythology	0.0522998
axiom	0.052202
"human being"	0.0521804
sensibility	0.0521323
democracy	0.0520555
"popular music"	0.0518716
expression	0.0516848
"programming language"	0.0516366
beauty	0.0516081
obsession	0.0514755
custom	0.0514693
phenomena	0.0514242
science	0.0513174
"computer language"	0.0512617
feminist	0.0511012
myth	0.0507391
hybrid	0.05053
protectorate	0.0504664
proposition	0.050443
accomplishment	0.0504245
fantasy	0.0502873
painting	0.0500909
ideal	0.0500865
poet	0.0499883
landmark	0.0499142
"scientific theory"	0.0498957
attraction	0.0498311
"parlor game"	0.0498279
instrument	0.0497166
meditation	0.0493785
calligraphy	0.0492887
"political system"	0.0489887
vision	0.0488389
visionary	0.0488342
legend	0.0488275
pleasure	0.0487862
"piece of music"	0.0487314
characteristic	0.0487045
innovator	0.0486201
"soap opera"	0.0485059
"classical ballet"	0.0483424
aesthetic	0.0482579
Masterworks	0.0482544
landscape	0.0482096
archetype	0.0479757
miracle	0.047922
theory	0.0477391
"subject matter"	0.0476226
celebrity	0.0475064
Jazz	0.0474432
artwork	0.0473041
fad	0.047181
"piece of work"	0.0471179
genius	0.0470321
folklore	0.0469816
dud	0.0469647
intangible	0.0469167
narrative	0.0469038
"fantasy world"	0.0468608
dynamic	0.0468138
cinema	0.046681
notion	0.0465741
Judaism	0.0464914
oddity	0.0464776
repertoire	0.0464733
tale	0.0463463
lifestyles	0.0463226
painter	0.0463017
photography	0.0461881
metaphor	0.0461035
aspect	0.0460614
"folk song"	0.0460505
aberration	0.0460022
"social activity"	0.0459552
"social class"	0.0459429
Truism	0.0458725
"entitlement program"	0.0457757
epic	0.0457514
"folk music"	0.0457031
creature	0.0456992
rhythm	0.0455753
heroine	0.0455692
sculpture	0.0455599
ways	0.0453706
Dinosaur	0.0453337
"extracurricular activity"	0.045215
commodity	0.0451803
cliche	0.045035
spectacle	0.0449872
identity	0.0449025
adventure	0.0448953
animation	0.0446605
palette	0.044654
dramatist	0.0446509
"avant garde"	0.0446295
vernacular	0.0445737
mystery	0.0443005
personality	0.0442633
niche	0.044262
"folk dance"	0.0442559
destination	0.0442346
legacy	0.0442344
reportage	0.0441903
passion	0.0441467
"medical science"	0.0441145
haven	0.0440931
Universe	0.0440658
lineage	0.0440371
writing	0.0439737
"public service"	0.0438858
rivalry	0.0438692
vertebrate	0.043632
illusion	0.0435741
irony	0.0435716
adage	0.0434825
feat	0.0434758
format	0.0433352
"musical instrument"	0.0433028
"life style"	0.0431819
humanity	0.0431688
"martial art"	0.0430867
Playwright	0.0430531
melody	0.0429711
archaeology	0.0429412
moral	0.0429378
entertainer	0.0429042
handicraft	0.0428447
antiquity	0.042835
sculptor	0.0427869
"rock 'n' roll"	0.0427705
renaissance	0.0427366
serial	0.0427234
novelist	0.0426987
))
("art gallery" (desc 13044.1) (sims
gallery	0.169215
boutique	0.151091
"gift shop"	0.150283
eateries	0.150037
bookstore	0.142131
"clothing store"	0.13682
bookshop	0.128923
shop	0.127228
"movie theater"	0.125655
"shopping center"	0.12514
"department store"	0.12214
museum	0.122067
cafe	0.121014
restaurant	0.12058
parlor	0.120328
"liquor store"	0.119161
salon	0.118129
"grocery store"	0.117811
nightclub	0.117517
"exhibition hall"	0.117217
"concert hall"	0.114556
pub	0.114301
tavern	0.11424
teahouse	0.110075
"tea house"	0.109664
bistro	0.109375
"shopping mall"	0.108558
supermarket	0.107837
bakery	0.107238
arcade	0.106484
library	0.10635
"office building"	0.105847
"jewelry store"	0.105585
"beauty salon"	0.103157
theater	0.102547
spas	0.101461
"convenience store"	0.101217
"dance hall"	0.101
"botanical garden"	0.100988
"coffee shop"	0.100967
cinema	0.100831
SPA	0.100696
coffeehouse	0.0983545
"toy store"	0.0974037
"amusement park"	0.097342
delicatessen	0.0967341
"bowling alley"	0.0959982
"game room"	0.0959136
mall	0.0950558
loft	0.0943523
hotel	0.0942886
emporium	0.0941995
nightspots	0.092777
inn	0.0924179
"post office"	0.0921267
kiosk	0.092019
"hardware store"	0.0918267
"retail store"	0.0917915
auditorium	0.0910264
"gas station"	0.0904122
saloon	0.0899708
"music hall"	0.0889857
"conference center"	0.088783
drugstore	0.0884346
deli	0.0881744
aquarium	0.0876895
Marina	0.0871621
motel	0.0871186
"chain store"	0.0864273
"butcher shop"	0.0857263
"apartment building"	0.0853452
"service station"	0.0852685
"recording studio"	0.0851592
"computer store"	0.0849839
"specialty store"	0.0848575
Casino	0.0847563
"opera house"	0.0838318
condominium	0.083739
"beauty parlor"	0.0836681
bed-and-breakfasts	0.0835299
studio	0.0833948
gymnasiums	0.0829678
disco	0.0829484
"theme park"	0.082615
"machine shop"	0.0826062
cafeteria	0.0824552
"beauty shop"	0.0823969
"art dealer"	0.0823752
"repair shop"	0.0822116
pizzeria	0.0820171
"travel agency"	0.0819982
Warehouse	0.0817133
showroom	0.0817038
sawmill	0.0814912
"community center"	0.081393
ballroom	0.0811
Pharmacy	0.0805697
brothel	0.080548
gym	0.0798881
discotheque	0.0798718
"flea market"	0.0779193
"general store"	0.0778384
complex	0.0772756
apartment	0.0770098
nightlife	0.0767334
lounge	0.0763303
clinic	0.0763116
hall	0.0762397
"movie house"	0.0760023
stalls	0.075485
"shoe store"	0.074619
Steakhouse	0.0740444
winery	0.0736835
synagogue	0.073524
"entertainment center"	0.0732438
nursery	0.0722211
Supercenters	0.0721387
"pizza parlor"	0.0721337
caterer	0.0717718
"coffee bar"	0.0717567
"recreational facility"	0.0717541
garden	0.0711657
"dry cleaner"	0.0711573
mosque	0.0707088
cemetery	0.0705095
grocery	0.0702722
"dining room"	0.0700391
outlet	0.0699371
"day care center"	0.0697424
"wine cellar"	0.0692681
Brasserie	0.0692079
Bathhouse	0.069189
brewery	0.0690758
planetarium	0.0688817
"funeral home"	0.0688061
"art collection"	0.0687295
lodge	0.0685918
chapel	0.0683938
condo	0.0681401
"art school"	0.0680673
zoo	0.0680191
"reading room"	0.0678795
"publishing house"	0.0678329
factory	0.0670494
"office space"	0.0669406
"law practice"	0.0669243
"swimming pool"	0.0668804
florist	0.0668789
"subway station"	0.0666857
"food shop"	0.0666748
"abortion clinic"	0.0666357
"town house"	0.0666108
mansion	0.066521
laboratory	0.0664424
"educational institution"	0.0660889
"Jewish Museum"	0.0659814
"retail chain"	0.0655602
"golf course"	0.0654645
gymnasium	0.0653154
brownstone	0.0651452
garage	0.0650146
amphitheater	0.0649093
bed-and-breakfast	0.0648542
junkyard	0.0647471
pavilion	0.0646568
mill	0.0644865
"auction house"	0.0644407
dormitory	0.0643837
storefront	0.0643769
dealerships	0.0643171
dealership	0.0638968
archive	0.0636652
temple	0.0635846
attraction	0.0635281
"skating rink"	0.0632709
orphanage	0.0631443
high-rise	0.0628528
resort	0.0627711
"research center"	0.062647
"tennis court"	0.0621649
dwelling	0.0621486
jeweler	0.0621438
"apartment house"	0.0621394
dining	0.0616597
"opera company"	0.0611966
"ticket office"	0.0611633
"fire station"	0.0611179
antique	0.0610783
"Print Shop"	0.061037
superstore	0.0608716
slaughterhouse	0.0606106
playhouse	0.0603435
newsstand	0.060185
"radio station"	0.0597781
shrine	0.0596674
barbershop	0.0594867
"medical center"	0.0594741
"elementary school"	0.0593247
"Rainbow Room"	0.0592345
playground	0.0591593
))
("art historian" (desc 4256.07) (sims
linguist	0.172767
historian	0.160665
musicologist	0.158877
sociologist	0.15081
essayist	0.131698
paleontologist	0.130821
"social scientist"	0.129871
anthropologist	0.129231
theologian	0.128891
curator	0.127965
geologist	0.127471
"landscape architect"	0.124608
archaeologist	0.122255
psychoanalyst	0.120833
folklorist	0.120271
mathematician	0.115269
scholar	0.114168
"art dealer"	0.113417
philosopher	0.113069
botanist	0.110119
archivist	0.108964
"stage director"	0.107082
conservator	0.104313
archeologist	0.103907
psychologist	0.103458
lexicographer	0.102902
"Larry Sabato"	0.102179
"art teacher"	0.100952
restaurateur	0.100205
geneticist	0.0991253
jurist	0.0990887
painter	0.098888
lecturer	0.0981973
physicist	0.0981792
"interior designer"	0.0981361
academic	0.0980261
sculptor	0.096622
neurologist	0.0963266
calligrapher	0.0955161
biologist	0.0948215
"English professor"	0.0935095
dramatist	0.0932828
geographer	0.092056
restorer	0.0917982
"political scientist"	0.0914674
architect	0.0901477
poet	0.0899161
novelist	0.0898976
collector	0.0887004
statesmen	0.0886799
educator	0.0881275
theorist	0.0868071
biochemist	0.0852184
psychotherapist	0.0852007
violinist	0.0847935
"computer scientist"	0.0845577
newspaperman	0.0841914
clergyman	0.0840182
connoisseur	0.08398
pediatrician	0.0836917
astrophysicist	0.0833565
physiologist	0.082549
"social worker"	0.0823626
naturalist	0.0822171
zoologist	0.0821161
Playwright	0.0816257
cosmologist	0.0812451
"legal expert"	0.0811546
biographer	0.0807242
"fashion designer"	0.0801949
"film maker"	0.0794857
filmmaker	0.0793489
"clinical psychologist"	0.0793128
"interior decorator"	0.079174
epidemiologist	0.0789338
chemist	0.078499
cabinetmaker	0.0783187
ornithologist	0.078153
animators	0.0780363
Industrialist	0.0780354
psychiatrist	0.0776151
editorialist	0.0770849
craftsmen	0.0769052
intellectual	0.0766821
composer	0.0765821
toxicologist	0.0763093
neurosurgeon	0.0752641
cardiologist	0.0751796
librarian	0.0748822
geophysicist	0.0748369
inventor	0.0747371
dietitian	0.0740086
nobleman	0.0735744
pianist	0.073549
thinker	0.0734649
translator	0.0733442
adventurer	0.0732657
organist	0.0732455
astronomer	0.073244
Gastroenterologist	0.0731951
pathologist	0.0730352
criminologists	0.073017
"art student"	0.0724054
ethicist	0.072217
reviewer	0.0720735
academician	0.0719042
oncologist	0.0715525
filmmakers	0.0712511
experimenter	0.0711801
instrumentalist	0.0707026
illustrator	0.070677
photographer	0.070578
cellist	0.0704736
"graduate student"	0.0703103
entomologist	0.0698553
choreographer	0.0697774
internist	0.0693048
radiologist	0.0691113
"law student"	0.0684981
ecologist	0.068347
"foreign service officer"	0.0681631
"graphic artist"	0.0680772
bioethicist	0.0680435
cartoonist	0.0680385
socialite	0.068
decorator	0.0679411
chronicler	0.0677437
demographer	0.0676791
theatergoer	0.0675309
"film producer"	0.0674926
ophthalmologist	0.067321
therapist	0.0671821
commentator	0.0671529
statesman	0.0669906
"assistant professor"	0.0667159
ballerina	0.0666883
craftspeople	0.066424
woodworker	0.0656837
"certified public accountant"	0.0655327
astrologer	0.0652814
animator	0.0651357
pundit	0.0650773
"stamp collector"	0.0650313
"associate professor"	0.0649843
philanthropist	0.0648675
surgeon	0.064856
obstetrician	0.0647381
screenwriter	0.0646896
banker	0.0643303
seamstress	0.0642884
feminist	0.0641571
techies	0.0641205
Futurist	0.0640093
agronomist	0.0637151
sommelier	0.0636995
"real estate agent"	0.0636212
"heart surgeon"	0.0635539
stylist	0.0632515
"man of letters"	0.0631947
literati	0.0627567
"theater critic"	0.0625355
"computer expert"	0.0624249
"visiting professor"	0.0620548
Washingtonian	0.0618204
"government officials"	0.0617945
nutritionist	0.0617913
ethicists	0.0617507
urologist	0.0614428
planner	0.0612387
conservationist	0.0611179
"naval officer"	0.0610669
moviemakers	0.0610378
innovator	0.0609707
skeptic	0.0609115
Litigator	0.0608416
"music critic"	0.0607936
winemaker	0.0607059
conductor	0.0606629
businesswoman	0.0604844
Programmer	0.0604811
"opera star"	0.0603613
chef	0.0602835
"newspaper editor"	0.0602195
"insurance broker"	0.0600814
veterinarian	0.0597036
"investment banker"	0.0596781
"divorce lawyer"	0.0593914
"computer programmer"	0.0593623
clergymen	0.0592113
"David Irving"	0.0591885
jeweler	0.0590324
"faculty member"	0.0589973
laureate	0.0589789
dermatologist	0.0589575
"art director"	0.0589057
acrobat	0.0585902
"investment adviser"	0.0584898
endocrinologist	0.0584355
homemaker	0.0582778
aristocrat	0.0579202
))
("Art Institute of Chicago" (desc 1894.78) (sims
"Philadelphia Museum of Art"	0.28259
"San Francisco Museum of Modern Art"	0.277734
"Museum of Fine Arts"	0.261669
"Whitney Museum of American Art"	0.244698
"National Gallery"	0.212375
"Museum of Modern Art"	0.202024
"Whitney Museum"	0.193231
"Solomon R. Guggenheim Museum"	0.190611
"Metropolitan Museum of Art"	0.188064
"Tate Gallery"	0.18662
"American Museum of Natural History"	0.174069
Guggenheim	0.158562
"Brooklyn Museum of Art"	0.156648
"Metropolitan Museum"	0.14425
"High Museum of Art"	0.143011
"British Museum"	0.136151
"Museum of Contemporary Art"	0.127993
"Atlanta History Center"	0.125911
"Brooklyn Museum"	0.117338
Louvre	0.115506
"Smithsonian Institution"	0.113205
Smithsonian	0.111348
"Jewish Museum"	0.106434
Whitney	0.0953969
"Corcoran Gallery"	0.0912805
"Guggenheim Museum"	0.0880107
"National Museum"	0.0820736
"Museum of Natural History"	0.0793017
"Cooper Union"	0.0754331
"London School of Economics"	0.0747163
"Film Forum"	0.0736894
"Museum of Chinese History"	0.0734923
"Costume Institute"	0.0673307
Getty	0.0661729
"National Library"	0.063768
"Trinity College"	0.0628067
"Presidential Office"	0.0623094
Juilliard	0.0606951
"Juilliard School"	0.0602188
"New York Public Library"	0.060002
Tate	0.05944
"National Zoo"	0.0594196
Sorbonne	0.0593355
"New York State Theater"	0.0582565
"Xinhua News Agency Hong Kong Branch"	0.0575779
Sotheby's	0.0560629
"Foreign Affairs Office"	0.0557183
"State Bureau of Environmental Protection"	0.0543824
"Lincoln Center Festival"	0.0526652
"Consumer Electronics Show"	0.0522962
"school of music"	0.0516468
"Duke University"	0.0500016
"Liaison Office"	0.0497152
MFA	0.0495639
"Department of Public Health"	0.0495583
"Joyce Theater"	0.049552
"Cambridge University"	0.0493312
"State Bureau of Cultural Relics"	0.0487278
"Harvard Law School"	0.0486367
"Public Theater"	0.0484321
"New York Film Festival"	0.0470202
"Political Department"	0.0469916
"State Administration of Taxation"	0.0466833
"Criminal Investigation Department"	0.045746
"Georgetown University"	0.045007
"State Administration of Cultural Heritage"	0.0449593
porpoise	0.0446469
"Victoria Park"	0.0443299
"Academy of Motion Picture Arts"	0.0439081
"Metropolitan Opera House"	0.0437548
"New York City Opera"	0.0437412
"University of New Mexico"	0.0435315
"Howard University"	0.0428199
"social work"	0.0424695
"China National Tourism Administration"	0.0419088
"speed of light"	0.0414567
"U.N. Headquarters"	0.0414173
Huntington	0.0413963
"Wesleyan University"	0.0410652
"General Logistics Department"	0.0409991
"Walter Reade Theater"	0.0407673
"State University of New York"	0.0406231
"Development Research Center"	0.0404449
"Texas Christian University"	0.0403987
SEPA	0.0403724
"Information Center"	0.040315
"liberal arts"	0.0400501
))
("art movement" (desc 1107.77) (sims
proviso	0.0625765
"trade route"	0.0623019
musicologist	0.0621395
modernist	0.0615615
modernism	0.0612952
singer-songwriters	0.060297
atherosclerosis	0.0587012
"landscape painting"	0.0559481
"art department"	0.0558342
Lent	0.0557323
"George Michael"	0.0541419
theatergoer	0.0538114
"fishing season"	0.0523794
instructions	0.0499631
Twinkies	0.0497348
hotspots	0.0490546
"art collection"	0.0488737
"Siamese twin"	0.0482493
courtesan	0.0481312
"dance music"	0.0478781
"labor pool"	0.0476124
dampness	0.0472766
surrealism	0.046908
prizefighter	0.0468245
"designer drug"	0.0465757
Impressionist	0.0465345
expressionism	0.0464644
dramatist	0.0459606
puberty	0.0457587
"repertory company"	0.0456402
"slave ship"	0.0454261
cipher	0.045295
"baby boom"	0.0450995
"popular music"	0.0449079
humorist	0.0448618
crossers	0.0447577
vernacular	0.0445671
"piece of music"	0.0444405
Masterworks	0.0443197
"baseball season"	0.0442572
"feminist movement"	0.0438692
quizzes	0.0436804
"parlor game"	0.0436683
"jazz musician"	0.0434206
"avant garde"	0.0430216
"theater company"	0.0429271
subculture	0.0424636
"city block"	0.0424577
dandy	0.0423981
stylishness	0.0422187
tricolor	0.0421563
"square inch"	0.0420118
permutation	0.0418038
hipsters	0.0414466
cabinetmaker	0.0411331
liberalism	0.0410339
weirdness	0.041009
"margin call"	0.0409855
"musical group"	0.040983
Minnesotan	0.0409053
Pasha	0.040873
"art historian"	0.0406906
fast-track	0.0403788
troubadour	0.0403078
idiom	0.04024
respectability	0.0400801
))
("Art Nouveau" (desc 1857.21) (sims
Deco	0.158915
"art deco"	0.143434
"beaux arts"	0.132441
Bauhaus	0.0944891
minimalist	0.0866253
"folk art"	0.0736162
kitschy	0.0695001
revivalist	0.0691728
Tiki	0.0663122
"Greek Revival"	0.0642871
Tiffany	0.0629799
Lucite	0.0624875
retro	0.060333
gothic	0.0571873
"old master"	0.0566363
Americana	0.0545979
Provencal	0.0537864
shaker	0.0521346
tabletop	0.0516894
eugenics	0.0512798
late-'@@s	0.0495581
surrealist	0.0489699
Impressionist	0.0486851
Cartier	0.0480373
"stained glass"	0.0480295
"Frank Capra"	0.0474836
menswear	0.0469824
glam	0.0465682
"free form"	0.0465641
Gibbons	0.0461421
Edo	0.0455978
uptempo	0.0454608
"space age"	0.0453289
minstrel	0.0452051
"avant garde"	0.0450338
Fosse	0.0437717
gouache	0.0436132
x@@	0.0434204
"haute couture"	0.0430345
"Queen Anne"	0.0430261
manmade	0.0429252
mem	0.0426431
grunge	0.0418631
"fine art"	0.0416475
"Rat Pack"	0.0414768
"cast iron"	0.0413954
"Grand Central"	0.0412795
commissioning	0.0409913
))
("art school" (desc 4011.32) (sims
"Harvard Business School"	0.176061
"naval academy"	0.145842
"Harvard College"	0.136726
"technical school"	0.134885
"vocational school"	0.133117
"Yale Law School"	0.127863
seminary	0.126755
"business school"	0.126169
"Harvard Law School"	0.117568
"community college"	0.112153
"West Point"	0.112069
"law school"	0.111895
"medical school"	0.104481
"junior college"	0.103019
yeshiva	0.102941
"military academy"	0.102713
"Brigham Young University"	0.101427
"secondary school"	0.0992023
"Smith College"	0.0985917
"Brown University"	0.0984222
"Catholic school"	0.0976414
"Yale university"	0.0974586
"Williams College"	0.0974208
"police academy"	0.0962549
"University of Georgia"	0.0957843
conservatory	0.0953011
"middle school"	0.0949491
"air force academy"	0.0934165
Juilliard	0.0925845
"preparatory school"	0.0918642
"Texas Christian University"	0.0904967
"religious school"	0.0897958
"prep school"	0.0882875
"language school"	0.0879063
"school of music"	0.0877647
"New York University"	0.0870183
"private school"	0.0865587
"symphony orchestra"	0.0855215
"City College"	0.0851851
"Amherst College"	0.0850712
"grade school"	0.0848892
"training school"	0.0844282
"Barnard College"	0.0839597
"elementary school"	0.0835747
Dartmouth	0.0814703
"University of Missouri"	0.0813441
"senior high school"	0.0804151
Yale	0.080135
academy	0.079966
"futures exchange"	0.078682
"junior high school"	0.0785131
"Northwestern University"	0.0784302
"Syracuse University"	0.0779288
"primary school"	0.0777313
"opera company"	0.0776579
"boarding school"	0.0772481
"music school"	0.0771258
"graduate school"	0.0767702
"driving school"	0.0753619
"University of Texas"	0.0751292
"advertising agency"	0.074265
"Northeastern University"	0.073907
polytechnic	0.0738452
"Dartmouth College"	0.0730008
Harvard	0.0723579
"summer camp"	0.0718108
UGA	0.0714893
NYU	0.0710837
Vassar	0.0708631
"parochial school"	0.0708273
MIT	0.0705359
Princeton	0.0695772
"University of North Carolina"	0.0694677
"U.S. Naval Academy"	0.0694143
"Beijing University"	0.0689971
cabinetmaker	0.0684825
"University of Southern California"	0.0684043
"Howard University"	0.0683235
"publishing house"	0.0682483
"art gallery"	0.0680673
"research center"	0.0678397
"University of Kansas"	0.067682
"art dealer"	0.0674071
"Harvard Medical School"	0.0672545
"public school"	0.067026
"Harvard University"	0.0669503
arboretum	0.0657424
"nursery school"	0.0650771
"P.S @@@"	0.0649472
"junior high"	0.0649434
bookstore	0.0645611
"educational institution"	0.0643183
Cornell	0.0643023
"Rice University"	0.064069
"Boston University"	0.0637249
"Georgetown University"	0.0637027
"Arizona State University"	0.0636836
"Duke University"	0.0634435
"Ivy League"	0.0630496
Eton	0.0629534
UMass	0.0628394
"medical institution"	0.0626147
UNAM	0.0624365
"Georgia State University"	0.061906
"Stanford University"	0.0618823
"Georgia Tech"	0.0618644
"Princeton University"	0.061597
"eighth grade"	0.0612736
"Zhejiang University"	0.0610487
"jewelry store"	0.0604573
"University of Florida"	0.0604432
"law practice"	0.0603676
"University of Massachusetts"	0.059724
"Columbia University"	0.0597199
"school of law"	0.059607
"University of Minnesota"	0.0593766
Oxford	0.0593334
"University of Maryland"	0.0592956
"Cornell University"	0.058998
"Massachusetts Institute of Technology"	0.0589896
"George Washington University"	0.0588242
"concert hall"	0.0585601
"art collection"	0.0584952
Columbine	0.0582947
"University of Virginia"	0.0582349
incubator	0.0582221
"University of Tennessee"	0.0581698
"Federal Reserve Bank"	0.0577953
"medical center"	0.0577776
"University of Utah"	0.0575689
"Washington State University"	0.0574145
kindergarten	0.0571935
"Fordham University"	0.0571556
"University of Chicago"	0.0570302
"consulting company"	0.0568241
"botanical garden"	0.0568184
"day care center"	0.0567844
"publishing company"	0.0566711
"University of Michigan"	0.0565985
"University of Dayton"	0.0564975
"Kansas State University"	0.0564558
"repair shop"	0.0563151
"Oxford University"	0.056138
"department store"	0.0559643
"grammar school"	0.0557608
"Georgia State"	0.0555759
"day camp"	0.0555731
"John F. Kennedy Library"	0.0554942
"University of New Hampshire"	0.055033
"exhibition hall"	0.0550192
"day care"	0.0550048
"Southern Methodist University"	0.0549379
"development center"	0.0547781
orphanage	0.0546965
"theater company"	0.0545761
"insurance broker"	0.0545459
"Qinghua University"	0.0542187
"amusement park"	0.054153
"computer store"	0.0540317
"psychiatric hospital"	0.053762
"World Conference"	0.0537204
"Kent State"	0.0536479
nightclub	0.0532103
"Brandeis University"	0.0531639
"Tate Gallery"	0.0530746
alderman	0.0530499
Radcliffe	0.0530177
"transport ship"	0.0529842
"University of Illinois"	0.0529686
"Holy Cross"	0.0529099
playhouse	0.0528135
synagogue	0.0524593
"African Economic Community"	0.0524054
Brasserie	0.0523744
"railway station"	0.0523736
"minor-league team"	0.0523178
highschool	0.0522713
"mechanical engineering"	0.0520139
"University of Wisconsin"	0.0520066
"Boston College"	0.0519508
vote-getters	0.051819
"sixth grade"	0.0515012
"consulting firm"	0.0513976
"International AIDS Conference"	0.0512375
"University of Hawaii"	0.0512021
salon	0.051088
"church service"	0.0509738
"clothing store"	0.0506083
"think tank"	0.0505727
"Fashion Week"	0.0505669
UT	0.0505653
"University of New Mexico"	0.0499645
"wine cellar"	0.0497913
"training program"	0.0497639
"Indiana University"	0.0496617
"travel agency"	0.0494918
"Columbine High"	0.0493903
IU	0.0492208
"nonprofit organization"	0.0491847
"Juilliard School"	0.0489127
))
("art student" (desc 2955.55) (sims
"altar boy"	0.0946901
calligrapher	0.0898174
woodworker	0.0886253
sculptor	0.0838258
"art teacher"	0.0835446
hairdresser	0.0807914
"army engineer"	0.0789244
"art dealer"	0.0781785
beautician	0.0772738
"interior designer"	0.0757039
restorer	0.0754097
illustrator	0.0739187
"graphic artist"	0.0731273
decorator	0.0728136
"art historian"	0.0724054
cartoonist	0.0690603
"house painter"	0.0682168
craftspeople	0.0679024
eighth-grader	0.0676465
"law student"	0.0665511
"eye doctor"	0.0653289
"registered nurse"	0.0646764
"black person"	0.0644654
painter	0.0644494
housewife	0.0638761
"day laborer"	0.0637856
"jazz musician"	0.0633115
Lollar	0.0630904
"guitar player"	0.0622122
"film producer"	0.0618421
singer-songwriter	0.0612622
"little leaguer"	0.0611913
vaulter	0.0606995
"English teacher"	0.0606165
"interior decorator"	0.0602108
"farm boy"	0.0599456
"folk singer"	0.0591461
"aerospace engineer"	0.0590989
stylist	0.0590857
"stamp collector"	0.058516
"Jehovah's Witness"	0.0584855
ingenue	0.0584558
"art director"	0.0582261
divorcee	0.0579785
"baseball coach"	0.0579202
animators	0.0579021
restaurateur	0.0576952
craftsmen	0.0575765
walk-on	0.0570992
dramatist	0.0569916
Atlantan	0.0568039
seminarian	0.0567654
"film maker"	0.0565123
bohemian	0.0564785
congresswoman	0.0564684
stewardess	0.0563853
"grad student"	0.0563549
bodybuilder	0.056316
horticulturist	0.0556681
"electrical engineer"	0.0556146
interloper	0.055521
acrobat	0.0554053
electrician	0.0549539
fifth-grader	0.0547806
sixth-grader	0.0547612
seamstress	0.0546058
bricklayer	0.0545253
infantryman	0.0545095
copywriter	0.0543731
whistleblower	0.0543583
violinist	0.0542002
Kurd	0.0538713
"medical student"	0.0535261
"naval officer"	0.0534456
"disc jockey"	0.0532563
heiress	0.0528883
welder	0.0523947
"hockey player"	0.0522885
Noor	0.0522651
"school girl"	0.0522157
"big leaguer"	0.0520338
socialite	0.0519241
"graduate student"	0.0519062
yachtsman	0.0515073
kayaker	0.0515045
barrister	0.0513915
"leading lady"	0.0513549
"baseball player"	0.0512801
colorist	0.0511591
idealist	0.0510897
fencer	0.0510251
stuntman	0.050947
assembler	0.0508116
experimenter	0.0506567
geophysicist	0.0506337
schooler	0.0506133
cabby	0.0505477
tomboy	0.0504287
"network administrator"	0.0503631
bellhop	0.0503425
"Pink Floyd"	0.0502887
Irishman	0.0502837
paralegal	0.0500585
"civil engineer"	0.0500381
valedictorian	0.0499711
archivist	0.0499345
"fashion designer"	0.0497364
businesswoman	0.0495668
ballerina	0.0493289
philanthropist	0.0492181
"insurance agent"	0.0487947
"volleyball player"	0.048766
radiologist	0.0485802
schoolgirl	0.0485554
"real estate agent"	0.0485089
puppeteer	0.048407
oilman	0.0476633
"campaign worker"	0.0476483
"computer programmer"	0.0474599
sociologist	0.0472624
"school boy"	0.0471076
moviemakers	0.0470735
"football player"	0.046938
weatherman	0.0469145
"eagle scout"	0.0468349
"mechanical engineer"	0.0467786
bartender	0.0466665
backpacker	0.0465858
"free spirit"	0.0464657
librarian	0.046454
Howe	0.0464359
"staff sergeant"	0.0464013
stockbroker	0.0463648
pianist	0.0460804
statesmen	0.0459805
"guardian angel"	0.0457619
physiologist	0.045619
songwriter	0.0455628
naturalist	0.045467
schoolmate	0.0453346
"lieutenant colonel"	0.045311
chemist	0.0450998
whiz	0.0450534
tribesman	0.0450101
parishioner	0.0449039
deejays	0.0447475
"English professor"	0.044672
chaperone	0.0446567
rapper	0.0445953
"Rhodes Scholar"	0.0445387
agronomist	0.0445366
"sea captain"	0.0445056
instrumentalist	0.0444804
individualist	0.0444546
"computer expert"	0.0443223
masseuse	0.0443095
ophthalmologist	0.0441749
recluse	0.0441501
DJ	0.0440965
winemaker	0.0440858
"management consultant"	0.0440668
missionary	0.0438902
"science teacher"	0.0437575
Scrooge	0.0437328
"important person"	0.0436844
"fashion model"	0.0433925
musicologist	0.0433574
lifeguard	0.0433315
philosopher	0.0433253
Olympian	0.0432797
janitor	0.043264
"test pilot"	0.0432558
potter	0.0431241
homemaker	0.0430789
"auto manufacturer"	0.0430491
"ballet dancer"	0.0430461
artisan	0.0430379
mathematician	0.0429476
shipmate	0.0428788
"Elia Kazan"	0.0428351
ogre	0.0428066
"sales manager"	0.0427537
"girl scout"	0.0427298
craftsman	0.0427135
literati	0.0427021
"state senator"	0.0426246
"young girl"	0.0425721
tyke	0.0425699
crooner	0.0424785
Iowan	0.0424455
supermodels	0.0424038
"Quincy Carter"	0.0421391
triathlete	0.0421188
bandmates	0.0418867
overachiever	0.0418614
"young lady"	0.0418444
lecturer	0.0418424
"exotic dancer"	0.0418127
"young actress"	0.0417426
"flower child"	0.0416391
))
("art teacher" (desc 982.741) (sims
"art historian"	0.100952
"stage director"	0.0917357
"art student"	0.0835446
electrician	0.0793651
optometrist	0.0786179
calligrapher	0.0778211
"eye doctor"	0.075327
oceanographer	0.0742796
illustrator	0.0732807
moviemakers	0.0721124
Brantley	0.0690308
dimple	0.0687019
"film maker"	0.0670021
"graphic artist"	0.0657082
"driving school"	0.0652624
"art dealer"	0.0649154
"three match points"	0.0634083
restorer	0.0633302
"Better Business Bureau"	0.0631838
brawler	0.0616355
"math teacher"	0.0612223
biochemist	0.0608717
Solis	0.0603151
musicologist	0.0602855
McGreevey	0.0589674
"herb garden"	0.0587801
astrologer	0.058096
woodworker	0.0580128
cabinetmaker	0.057587
conservator	0.0574981
"exotic dancer"	0.0546482
"divorce lawyer"	0.0541642
"easy chair"	0.0531799
M.A	0.0528891
rainout	0.0528241
"science teacher"	0.0527358
great-aunt	0.0524191
decorator	0.0522786
oncologist	0.0522591
Nicol	0.0519461
Dyer	0.0514669
"interior decorator"	0.0512573
"security consultant"	0.0512381
"birth parent"	0.0512001
orthodontist	0.0508807
archivist	0.0507152
craftspeople	0.0505547
"music school"	0.0503953
"two match points"	0.0503749
obstetrician	0.0500658
internist	0.0499568
"management shakeup"	0.0495811
geographer	0.0495577
soulmate	0.0495475
"Lou Holtz"	0.0495457
"bird watcher"	0.0495282
Ciampi	0.0489279
neurosurgeon	0.0489243
"investment adviser"	0.0488192
"school principal"	0.0485094
"order form"	0.0484029
"first match point"	0.0482759
tap-in	0.0479111
Iliescu	0.0479034
"interior designer"	0.0477971
Ruehe	0.0476172
radiologist	0.0475963
"altar boy"	0.0475828
Hendrickson	0.047467
"Rick Neuheisel"	0.0474297
"church member"	0.0474002
aperitif	0.0471701
"break of serve"	0.0468983
"Tom Osborne"	0.0467242
"foster mother"	0.0467178
"film producer"	0.0463991
"English teacher"	0.0463739
"art director"	0.0462968
"insurance agent"	0.0461835
raconteur	0.0458942
flutist	0.0458129
mammogram	0.0457573
Dijon	0.0455712
silber	0.0455697
"talent agent"	0.0455118
Lollar	0.0454567
"aerospace engineer"	0.0453749
exboyfriend	0.0453443
UNTAET	0.0453436
"insurance broker"	0.0452731
"shop assistant"	0.0452727
Musa	0.0452318
Allergist	0.0451881
"cash crunch"	0.0451771
firstborn	0.0450977
"guardian angel"	0.0448275
schoolwork	0.0447052
"Russell Peeler"	0.0446788
welder	0.044496
WPP	0.0443909
beautician	0.0443629
acupuncturist	0.0443183
taskbar	0.0442108
"Ballet Theater"	0.0441644
Mustafa	0.0439888
lawman	0.0438774
"Van Roost"	0.0437477
roofer	0.0437058
"English class"	0.0435087
"literary agent"	0.0434137
pleaser	0.0433307
"Fortune Global Forum"	0.04333
"piano lesson"	0.0431942
exhusband	0.0431863
doorbell	0.0430298
"Diego Rivera"	0.0429588
neurologist	0.0429288
"Securities Industry Association"	0.0429003
"investment company"	0.0428511
bodysuits	0.0428484
physiologist	0.0427699
"engine failure"	0.0425278
Dodik	0.0423745
infantryman	0.0423673
innkeeper	0.0423046
Cowan	0.0422163
hairdresser	0.0420782
savant	0.042072
gadgetry	0.0419949
"accounting problem"	0.0419403
pushcart	0.0418238
"engagement ring"	0.0417973
Karimov	0.0416784
dachshund	0.0416672
"music teacher"	0.0416375
Gustafsson	0.0416329
layover	0.041581
Juppe	0.0415576
"top officer"	0.0414613
accompanist	0.0414197
Rifkind	0.0413336
"Mayon Volcano"	0.0411411
"theatrical performance"	0.0409994
"Sam Schmidt"	0.0409715
alderman	0.0409593
ACL	0.0408498
"Lord's Prayer"	0.0408157
socialite	0.0407101
blinder	0.0405903
Flaherty	0.0405232
"computer expert"	0.0404544
"first school"	0.0404498
"Mission Control"	0.0403973
"Joint Liaison Group"	0.0403914
hyphen	0.0403868
Sahnoun	0.0403738
baseliner	0.0402428
molar	0.0401962
endocrinologist	0.0401216
Whitacre	0.0401044
"Dodi Fayed"	0.0400947
"teaching method"	0.0400356
"air filter"	0.0400224
))
(Artax (desc 2089.24) (sims
Daylami	0.199695
Chilukki	0.183938
"Free House"	0.163079
Menifee	0.157533
"Koji Ito"	0.143434
Behrens	0.142892
"Fusaichi Pegasus"	0.141546
"Cat Thief"	0.137591
"Red Bullet"	0.136955
"Answer Lively"	0.13409
"Worldly Manner"	0.133649
"Desert Hero"	0.131776
"Puerto Madero"	0.130977
"Banshee Breeze"	0.129437
"Ecton Park"	0.126487
"Silver Charm"	0.121697
Malek	0.121554
"High Yield"	0.12121
"Beautiful Pleasure"	0.12119
Silverbulletday	0.120394
"River Keen"	0.119342
"Cash Run"	0.117824
"Victory Gallop"	0.117028
"Lemon Drop Kid"	0.114466
"Favorite Trick"	0.109542
Anees	0.109029
"Skip Away"	0.108366
"Prime Timber"	0.105722
"Real Quiet"	0.105029
"Running Stag"	0.104722
"Old Trieste"	0.103999
"Li Xuemei"	0.103123
"Excellent Meeting"	0.10227
Wondertross	0.100004
"Maurice Greene"	0.0988171
Surfside	0.0987256
Budroyale	0.0981564
"Regina Jacobs"	0.0972674
"Irina Privalova"	0.0963029
Pantani	0.0959517
"Mario Cipollini"	0.0943881
Devers	0.093458
"Erik Zabel"	0.0933664
charismatic	0.0931217
"Forest Camp"	0.0926232
"A.P Indy"	0.0922457
"Christine Arron"	0.0916609
"Stephen Got Even"	0.0909027
"Thunder Gulch"	0.0907822
Adonis	0.0905942
"Ben Johnson"	0.0881169
"Dennis Mitchell"	0.0879673
"Cathy Freeman"	0.0873037
Cipollini	0.0872418
Zabel	0.0863504
"Awesome Again"	0.0862113
Berasategui	0.0859986
"Ato Boldon"	0.0854415
Biffle	0.0849719
filly	0.0847498
Tanui	0.0773942
Arazi	0.0771943
Klim	0.0770024
"Moses Tanui"	0.075955
"Touch Gold"	0.0759106
vicar	0.0751671
"Inge de Bruijn"	0.0750533
"Marion Jones"	0.074546
Valhol	0.0743877
"Maria Mutola"	0.0743285
aptitude	0.0741635
"Tom Steels"	0.07282
"Gail Devers"	0.0727241
"Alexander Popov"	0.0724263
"Jearl Miles-Clark"	0.0722948
Longo	0.0715794
Sautin	0.0714812
"Jeff Hartwig"	0.0710533
Sainz	0.0705675
Slaney	0.069436
"Seattle Slew"	0.069199
"Hiroyasu Shimizu"	0.0686913
"Chris Antley"	0.0679187
"Susanthika Jayasinghe"	0.0678628
Kagwe	0.0674767
"Ricardo Lagos"	0.067271
grindstone	0.0671954
"Linford Christie"	0.0669812
Krayzelburg	0.0667305
Bruguera	0.066625
"Ron Dayne"	0.066128
"Richard Hatch"	0.0660882
"War Chant"	0.0656898
"Arnaud Di Pasquale"	0.0648592
Szabo	0.0642132
Testud	0.064128
Raoux	0.0638724
"Michael Johnson"	0.0638114
Labonte	0.0637272
"Dario Franchitti"	0.0629724
"Miguel Indurain"	0.0628146
"Winning Colors"	0.0627983
Chebet	0.0626655
"Tegla Loroupe"	0.0624477
Trippi	0.0622095
Clavet	0.0620173
Nicol	0.062013
"Tom Dolan"	0.0616456
Croatians	0.0613401
"Patrick J. Buchanan"	0.0613275
Kelso	0.0613056
"Jesse Owens"	0.0613042
SDLP	0.0612976
thoroughbred	0.0606969
"Hilde Gerg"	0.0606288
Batten	0.0605511
"Frankie Fredericks"	0.0604954
Lafleur	0.0603789
"Jacques Villeneuve"	0.0599745
"Martina Moravcova"	0.0599222
"Inger Miller"	0.0597099
Samuelson	0.0594297
Aamodt	0.058915
Musgrove	0.0587876
"Merlene Ottey"	0.0587206
Dragila	0.0584851
Kipketer	0.0584306
"Sebastien Lareau"	0.0581836
"Arie Luyendyk"	0.0580816
Hentgen	0.0580686
"Lasse Kjus"	0.057878
backstretch	0.0578205
Kjus	0.0575858
"Doug Walker"	0.0574872
"Guo Jingjing"	0.057423
"Partizan Belgrade"	0.0573422
"Jon Drummond"	0.0572615
"Jubilo Iwata"	0.0572025
Meissnitzer	0.0571171
Olivares	0.0570714
"World News Tonight"	0.056617
"Jenny Thompson"	0.0558559
EX-COMMUNISTS	0.0558097
"Grant Hackett"	0.0558072
Sion	0.0558039
"Penny Heyns"	0.0555015
Hoogenband	0.055447
Olano	0.0553716
Ulihrach	0.0553575
"Steve Shields"	0.0553287
"Carl Lewis"	0.0551756
"Herschel Walker"	0.0550693
"Fatuma Roba"	0.0546736
"Dennis Martinez"	0.0546301
Herron	0.0546134
"Bjarne Riis"	0.054613
Irvan	0.0543941
potty	0.0540879
"Khalid Khannouchi"	0.0540785
Doohan	0.0538066
"Stacy Dragila"	0.0537126
"Bobby Labonte"	0.0535537
Jalabert	0.0535091
Ottey	0.0533687
Fredericks	0.0532907
Morceli	0.0532729
Capel	0.0532075
"Karrie Webb"	0.0531362
"Hicham El Guerrouj"	0.0530625
Duran	0.0530339
Montgomerie	0.052756
Dosedel	0.0527525
Tejada	0.0526749
"Alex Zuelle"	0.052648
"Sean Berry"	0.0525775
"Kimberlite Pipe"	0.0525707
Yugoslavian	0.0524261
Zanardi	0.0522954
"Australian Mark Philippoussis"	0.0522675
Loroupe	0.0520818
Jarrett	0.0519461
"Donovan Bailey"	0.0519451
"Derrick Adkins"	0.0519181
"Schalke @@"	0.0518355
Bruijn	0.051832
"Colin Jackson"	0.0518068
Maruyama	0.0517842
Eliza	0.0517022
"Fred Couples"	0.0517004
"Eric Milton"	0.0516696
Heyns	0.0516311
"Nittany Lions"	0.0516177
Henman	0.0515437
Tapia	0.0514768
"Greg Ray"	0.0514293
Seizinger	0.051363
"Baltimore Colts"	0.0513265
Rueter	0.0512623
Rhee	0.0511897
Tomba	0.0510904
))
(artery (desc 26357.1) (sims
"blood vessel"	0.255017
"coronary artery"	0.253372
vein	0.143396
aorta	0.126537
thoroughfare	0.121162
lung	0.115888
"trunk line"	0.113714
tissue	0.110561
uterus	0.0998462
airway	0.0985104
liver	0.0980041
nerve	0.0948318
"heart valve"	0.0915289
expressway	0.0896419
highway	0.0891091
"main road"	0.0889733
"blood clot"	0.0888142
intestine	0.0886962
"rail line"	0.0870669
muscle	0.0869565
railway	0.086905
brain	0.0865465
tendon	0.0859522
"spinal cord"	0.0836145
waterway	0.079738
"railway line"	0.0796197
aneurysm	0.0785352
tumor	0.078507
valve	0.0779549
pipeline	0.0743734
passageway	0.0735109
road	0.0733382
"supply route"	0.0715632
motorway	0.0711265
heart	0.0707511
clot	0.0706451
pancreas	0.0702958
"trunk road"	0.0702511
bottleneck	0.0701148
route	0.0700267
corridor	0.0697072
kidney	0.0692443
freeway	0.0691532
gland	0.0680819
cell	0.0679364
colon	0.0672654
ligament	0.0665616
roadway	0.0664089
pipe	0.0660516
bladder	0.0658415
"internal organ"	0.0651843
sinus	0.0650379
blockage	0.0648368
bone	0.0644799
vessel	0.064221
"supply line"	0.0641254
"muscle cell"	0.0640627
"congestive heart failure"	0.0635341
tube	0.0634322
tunnel	0.0631479
"liver disease"	0.0630313
abdomen	0.0628581
cartilage	0.06267
"lymph node"	0.0622603
stomach	0.0621848
"heart failure"	0.0621211
catheter	0.0619951
neuron	0.0614577
"oil pipeline"	0.0612733
capillary	0.0605178
esophagus	0.0605022
throat	0.0603275
incision	0.0602813
pathway	0.0595885
"brain cell"	0.0594639
cornea	0.059393
bowel	0.0593278
interstates	0.0593147
causeway	0.0589019
organ	0.0588706
cavity	0.0579829
"malignant tumor"	0.0575834
lane	0.0575019
hub	0.0572691
"connective tissue"	0.0572379
Canal	0.0561972
spine	0.0557844
"nervous system"	0.0556954
blood	0.0550353
intersection	0.0550132
skin	0.0549689
"access road"	0.0547348
avenue	0.0545898
"gas line"	0.0542798
boulevard	0.0542612
ailment	0.0542183
bloodstream	0.0540285
"trade route"	0.0539767
"kidney disease"	0.0539104
footpath	0.0537157
lesion	0.0535461
bridge	0.0535404
Danube	0.0534656
traffic	0.0534416
"umbilical cord"	0.0533605
"phone line"	0.0532108
"ring road"	0.0532033
hypertension	0.0529044
river	0.052895
"power grid"	0.0528914
abscess	0.0525653
"highway system"	0.0524146
retina	0.0523765
skull	0.052235
"heart disease"	0.0517715
eyelid	0.0515985
"main street"	0.051406
"power line"	0.0513842
defect	0.0511768
mouth	0.0511407
"lung cancer"	0.051075
"nerve cell"	0.0509188
"blood pressure"	0.0507541
fracture	0.0507191
"vocal cord"	0.0503637
junction	0.0501316
infection	0.0501223
pore	0.0499746
infrastructure	0.0498703
trunk	0.0495663
"suspension bridge"	0.0495391
"water main"	0.0495155
implant	0.0494385
vertebra	0.0493381
"heart muscle"	0.0493204
cataract	0.0492594
fluid	0.0491706
cancer	0.0491382
diabetes	0.0489602
"bone marrow"	0.048792
"Highway @@@"	0.0485502
"water pipe"	0.048396
malformation	0.0483383
"heart attack"	0.0482654
rail	0.0482043
subway	0.0480425
"central nervous system"	0.0478212
abnormality	0.0474412
angina	0.0471542
joint	0.0470986
"transmission line"	0.0468078
"Route @@"	0.0466803
swelling	0.0465876
vertebrae	0.0464415
membrane	0.0463933
lining	0.0463689
sidewalk	0.0463513
cable	0.0460123
railroad	0.0458901
gutter	0.0458003
duct	0.0457934
"water supply"	0.0451581
hemorrhage	0.0451562
dike	0.045043
"high blood pressure"	0.0447921
cholesterol	0.0447609
disorder	0.044519
"achilles tendon"	0.044489
limb	0.044442
"cardiovascular disease"	0.044352
embankment	0.0442933
deformity	0.0442894
arthritis	0.0441311
"Interstate @@"	0.0438115
reservoir	0.0437853
ovary	0.0436759
prostate	0.0436291
breast	0.0434881
soreness	0.0434337
enzyme	0.0434058
congestion	0.0433268
chromosome	0.0430695
sewer	0.0429356
superhighway	0.0427391
ear	0.0427075
"Danube River"	0.0426705
"transportation system"	0.0425707
pneumonia	0.0425615
blockade	0.0425451
passage	0.0424683
inflammation	0.0424527
spleen	0.0424366
transplant	0.0423746
receptor	0.0423681
"telephone line"	0.0421797
chest	0.0421679
asthma	0.0421447
crossroad	0.0419703
ache	0.0416062
"phone system"	0.0413906
))
(Artest (desc 1267.61) (sims
Gatling	0.140922
Santangelo	0.137154
Calvary	0.137047
Reichel	0.129847
Nowitzki	0.125166
Recchi	0.122246
Scalabrine	0.11873
Najera	0.117962
Langenbrunner	0.117484
Weatherspoon	0.117155
Muoneke	0.113295
LeClair	0.111524
Audette	0.111453
Marinovich	0.111277
Olajuwon	0.10787
Szczerbiak	0.107756
Laperriere	0.107316
Dunston	0.10635
Parris	0.105272
Geiger	0.105025
Velarde	0.104839
Dele	0.10478
Peca	0.104435
Laettner	0.104269
Gillom	0.103945
Cato	0.10387
Stackhouse	0.102904
Kukoc	0.102846
Armstead	0.102581
Winn	0.102178
Laudrup	0.101489
Fizer	0.101391
Stoudamire	0.100964
Majerle	0.100683
Bordick	0.100596
Stumpel	0.100513
"Van Horn"	0.100174
Abdur-Rahim	0.100106
Andreychuk	0.0999793
Zambrano	0.0998413
Fedorov	0.0994904
Inman	0.0994518
Paus	0.09872
Solis	0.0978545
"Ron Artest"	0.0976624
Hejduk	0.0975741
Monson	0.0969584
Lafleur	0.0968381
Baerga	0.0962858
Holik	0.0955955
Dickerson	0.0949749
Croshere	0.0947007
Sherrill	0.0944351
McInnis	0.094294
Nailon	0.0937622
"Roy Lassiter"	0.0937339
Garrity	0.0935761
Jeffers	0.0932811
Polynice	0.0930899
Garces	0.0926664
Tverdovsky	0.0922647
White-McCarty	0.0922604
Gervin	0.0919277
Trepagnier	0.0917368
Verbeek	0.0906216
Milbury	0.0901606
Womack	0.0896399
Mashburn	0.0896051
Hornacek	0.0894715
Furcal	0.0892844
Kovalev	0.0891709
Kerr	0.0889454
Hardaway	0.0888006
Cota	0.0881636
Gorter	0.0881182
"Brian Scalabrine"	0.0880707
Nieuwendyk	0.0877238
Plante	0.0872802
Lassiter	0.0872287
Zuckerman	0.0871426
Swoopes	0.0869972
Barkley	0.0867885
Elam	0.0867397
Hurtado	0.0862726
Skiles	0.0860809
Wynalda	0.0860503
Alicea	0.0860229
"Gabe Muoneke"	0.0858019
Redd	0.0851458
Lacroix	0.0850086
Horry	0.0849584
Pippen	0.0848828
DiSarcina	0.0847773
Cassell	0.0844194
Passarella	0.0844036
Catalanotto	0.0843983
Sabonis	0.0838135
Kohn	0.0837575
Newsome	0.0837173
McKnight	0.0836269
Carbonneau	0.0833023
Jamison	0.0832572
Suker	0.0827869
Sanderson	0.0822673
Merritt	0.0822481
"Van Exel"	0.0820078
Eizenstat	0.0819065
Webber	0.081887
Burrell	0.0818131
Batistuta	0.0816335
Selanne	0.0811005
Djorkaeff	0.0808407
Wheatley	0.0807407
"Khalid El-Amin"	0.0805133
Smits	0.0804184
Iverson	0.0803649
Palffy	0.0801656
Gadzuric	0.0801093
beamer	0.0801005
Barrie	0.0799062
Cortines	0.0798174
Murrell	0.0797216
Forsberg	0.0794125
Ausmus	0.0793654
Summitt	0.0791983
Nedved	0.0791414
Timms	0.0789436
Vieri	0.0788837
Rucchin	0.0787642
Gardiner	0.078657
Matthaeus	0.0785358
Cleaves	0.0782625
Hightower	0.0782216
"Erick Barkley"	0.0780776
"Ante Razov"	0.0779633
Troussier	0.0779552
Metcalf	0.0778036
Dunleavy	0.0777647
Hendrickson	0.0777348
Garnett	0.0775086
Sundin	0.0774966
Mabry	0.0774743
Kornberg	0.0773428
Sydor	0.0769792
Gainey	0.0769291
Jagr	0.0766957
Gilmour	0.0766162
MacInnis	0.0765848
Ochoa	0.0765039
Dragila	0.0764644
"Frank Sanders"	0.0764414
Jair	0.0762988
Rolen	0.076109
Braswell	0.0760482
Stinnett	0.0760471
Finkel	0.0760332
Preki	0.0758681
Spiers	0.0757737
"Dale Davis"	0.0756794
Elie	0.0756765
Samuelsson	0.0754293
Thuram	0.0754292
Mihm	0.0753876
Bierhoff	0.0753687
Strickland	0.0751445
"Eric Owens"	0.0751285
"Keith Van Horn"	0.0751265
Duchesne	0.0750679
McDyess	0.0747673
Walbeck	0.0747553
Robitaille	0.0747102
Mendez	0.0746516
Wilkens	0.0745967
Beasley	0.0743441
"John Stockton"	0.0742372
"Brian Grant"	0.0741577
Dellucci	0.0740953
Graziani	0.0740941
Okada	0.0738467
Ainge	0.0735994
"Kevin Willis"	0.0735575
"Damian Jackson"	0.0734868
ISSEL	0.0734455
Moiso	0.0734333
Cora	0.0731862
Jacobsen	0.0729742
"Derek Fisher"	0.0729321
MARBURY	0.0726987
Nesby	0.0725978
El-Amin	0.0725113
McCarty	0.0722619
Lieberthal	0.0722235
Bergeron	0.0721982
Munson	0.0719347
Mutombo	0.0717922
Popovich	0.071715
Kapono	0.0716669
Madsen	0.0716613
Sojo	0.0714163
Bryant	0.0714045
))
(arthritis (desc 16475.3) (sims
"rheumatoid arthritis"	0.341654
asthma	0.279054
"multiple sclerosis"	0.276607
diabetes	0.274769
Osteoporosis	0.274489
hypertension	0.259651
epilepsy	0.258838
"Parkinson's disease"	0.249458
"high blood pressure"	0.247629
glaucoma	0.241937
osteoarthritis	0.241759
angina	0.237807
"heart disease"	0.231643
Parkinson's	0.214132
"congestive heart failure"	0.211385
allergy	0.209665
"cardiovascular disease"	0.206658
migraine	0.206558
leukemia	0.204579
anemia	0.204002
"back pain"	0.203588
"cystic fibrosis"	0.199209
Alzheimer	0.195558
schizophrenia	0.191759
dementia	0.191464
bronchitis	0.191011
ulcer	0.190178
ailment	0.188529
disorder	0.187002
hemophilia	0.186811
lupus	0.182207
Obesity	0.181105
diarrhea	0.180763
cancer	0.177256
impotence	0.176381
cataract	0.174007
headache	0.173659
emphysema	0.170613
"liver disease"	0.16893
"colon cancer"	0.167768
infertility	0.166052
hepatitis	0.165968
"heart failure"	0.165772
"heart condition"	0.163588
"kidney disease"	0.161518
autism	0.161287
disease	0.160781
"lung cancer"	0.160049
"muscular dystrophy"	0.159534
syndrome	0.159497
"memory loss"	0.158566
infection	0.158402
"eye disease"	0.157669
acne	0.157255
"skin disease"	0.15723
heartburn	0.157029
illness	0.155736
insomnia	0.155287
Depression	0.155281
pneumonia	0.155192
tuberculosis	0.153614
lymphoma	0.153212
als	0.152335
ADHD	0.151091
tendinitis	0.148972
Alcoholism	0.147585
"mental illness"	0.146724
"skin cancer"	0.144522
pain	0.143877
nausea	0.14152
fracture	0.141018
incontinence	0.139727
"mental disorder"	0.138509
"hay fever"	0.138392
psoriasis	0.137766
flu	0.136244
"cerebral palsy"	0.136223
dehydration	0.132704
atherosclerosis	0.132658
inflammation	0.132241
Meningitis	0.131791
"respiratory disease"	0.130571
fever	0.128317
jaundice	0.125552
"common cold"	0.124286
symptom	0.123794
"heart attack"	0.123516
narcolepsy	0.123411
malaria	0.123213
cholesterol	0.122082
constipation	0.121808
retardation	0.120864
baldness	0.12048
deformity	0.119005
cirrhosis	0.117838
"chest pain"	0.11743
fatigue	0.1173
"hepatitis B"	0.116815
tumor	0.116271
Tb	0.116235
nearsightedness	0.115664
"Lyme disease"	0.115615
disability	0.115577
ache	0.115451
defect	0.115051
HIV	0.114484
"health problem"	0.1137
influenza	0.113558
blindness	0.112986
soreness	0.112967
"neurological disease"	0.112343
"infectious disease"	0.111962
paralysis	0.111881
dysfunction	0.111611
impairment	0.110912
stroke	0.10732
polio	0.107214
"manic depression"	0.107082
dizziness	0.107065
myeloma	0.106823
"brain tumor"	0.106333
"anxiety disorder"	0.105454
malady	0.105247
swelling	0.104838
leprosy	0.104468
"food poisoning"	0.104278
melanoma	0.103974
"sore throat"	0.103543
"kidney stone"	0.102892
apnea	0.102242
diarrhoea	0.102052
sprain	0.101465
stiffness	0.100302
"malignant tumor"	0.0999975
vomiting	0.0998153
"neurological disorder"	0.099659
cramp	0.0992561
injury	0.0988006
hernia	0.0976107
malnutrition	0.0972681
"blood clot"	0.097228
anti-inflammatory	0.095825
spasm	0.0956011
"blood pressure"	0.0955072
"sexually transmitted disease"	0.0953561
"drug addiction"	0.0949136
degeneration	0.0948079
"hot flash"	0.0945219
Addiction	0.0941588
anorexia	0.0932277
abnormality	0.0923387
gastroenteritis	0.0917831
encephalitis	0.0917257
Psychosis	0.091328
numbness	0.0912117
cholera	0.0910802
trauma	0.090727
"dengue fever"	0.0891596
"skin rash"	0.0888316
gangrene	0.0888165
palpitation	0.0877728
irritation	0.0875583
cough	0.0870979
"genetic disease"	0.0868928
syphilis	0.0866479
stomachache	0.0865861
indigestion	0.0863846
encephalopathy	0.0852491
"substance abuse"	0.0851256
HIV/AIDS	0.0848999
weight-loss	0.08425
wound	0.0838626
complication	0.0837248
"asthma attack"	0.083516
trachoma	0.0835086
kidney	0.0828509
cartilage	0.0824969
anxiety	0.0819509
sickness	0.0816625
hyperactivity	0.08159
relapse	0.0812064
"morning sickness"	0.0806396
cold	0.0804793
gout	0.0802312
"bipolar disorder"	0.0799552
deafness	0.0796513
affliction	0.0794017
deficiency	0.0788675
fibrillation	0.0788458
prostate	0.078488
virus	0.0781274
"personality disorder"	0.0781216
bruise	0.0780451
Dengue	0.0780137
sunburn	0.0778137
seizure	0.0763855
malformation	0.0759022
herpes	0.0756742
muscle	0.0756065
Dysentery	0.0754259
))
(Arthur (desc 13460.1) (sims
Robert	0.111011
Jim	0.100827
Peter	0.100717
Steven	0.0985391
William	0.0977113
Richard	0.0940462
Paul	0.0935489
Anthony	0.0930809
Brian	0.0911826
Ted	0.0887071
Gerald	0.0884316
Alan	0.0881509
Michael	0.0878157
Danny	0.0860783
Kenneth	0.085586
Walter	0.084894
James	0.0847109
Phillip	0.0842061
Harry	0.0826744
Joseph	0.0822438
Evan	0.0820307
Charles	0.0809484
David	0.0808249
John	0.0804604
Frank	0.0799098
Tim	0.0795505
Allan	0.0792211
Carl	0.0787014
Jason	0.0784897
tom	0.0775861
Ralph	0.0775385
Gary	0.0773467
Andrew	0.0772483
Jeff	0.0767332
Roger	0.0765023
Neil	0.0764166
George	0.0761224
Randy	0.0757854
Kenny	0.0757214
Patrick	0.0757066
Philip	0.075632
Steve	0.0753103
Nicholas	0.0747376
Henry	0.0743351
Teletubbies	0.0733314
Louis	0.0733287
Larry	0.0732359
Christopher	0.0729216
Eric	0.072498
Scott	0.0724418
Daniel	0.0721618
Kevin	0.0718701
Chris	0.0718662
Jerry	0.0718461
Jamie	0.0714825
Dave	0.0714635
Wayne	0.0711589
Fred	0.0705194
Phil	0.0704999
Jeremy	0.0704923
mike	0.0703894
Albert	0.0700294
Marty	0.0698781
Bruce	0.0697957
BOB	0.0697851
Ben	0.0695816
Bobby	0.0695046
Joe	0.069202
Jon	0.0689802
Trevor	0.0688702
Adam	0.0686325
Andy	0.0685613
Rick	0.0685165
Jimmy	0.068364
"Sesame Street"	0.0683067
Marvin	0.0681852
Edward	0.0681293
Ken	0.0679167
Sam	0.0675844
Joshua	0.0675686
Matthew	0.0672708
Jeb	0.0668577
Frederick	0.0666789
Theo	0.0659233
Dan	0.0658693
Ronald	0.0654107
Susan	0.064909
Stephen	0.0648347
Simon	0.064515
Corey	0.06445
Malcolm	0.064409
Odai	0.0643662
"John Jr."	0.0643347
Barry	0.0640089
Ron	0.0636569
Keith	0.063631
"Dylan Klebold"	0.0635757
Dennis	0.0633692
"Russell Peeler"	0.0633579
Colin	0.0628935
Rusty	0.0626214
Tommy	0.0625362
Alfred	0.062208
Samuel	0.0621392
Hugh	0.0617913
Nathan	0.0617823
Ian	0.0617661
Harold	0.061756
Juan	0.0615663
Doug	0.0613639
Eddie	0.0613474
Gerard	0.0613163
dick	0.0612951
McVeigh	0.0612279
Hal	0.0610521
Willie	0.0610033
jack	0.0605665
Faulder	0.0605579
Howard	0.0604542
Reggie	0.0604426
Brad	0.0602964
Alex	0.0602895
Cusack	0.0602179
Luke	0.0600813
Joel	0.0600655
Craig	0.0599796
Mario	0.059677
Charlie	0.0596486
Jose	0.05955
Derek	0.0595062
Laudor	0.0594779
Marc	0.0592558
Linda	0.0591596
Calvin	0.0590307
Andre	0.0589913
Noah	0.0589807
Oliver	0.0588933
Josh	0.0588309
Shawn	0.0588029
Brandon	0.0587212
Ramon	0.0586271
Ernest	0.0585867
Woodward	0.0585118
matt	0.0583472
Carlos	0.058147
Ed	0.0579678
Nicolas	0.057921
Bhutto	0.0579169
Craxi	0.0578203
nick	0.0577423
Johnny	0.0575733
Bernard	0.0575585
Agca	0.0574941
Antonio	0.0573018
Leon	0.0569391
Isaiah	0.0568057
Berenson	0.0567993
Jennifer	0.056793
Ryan	0.056593
Thomas	0.0565398
Donald	0.0564269
Sheppard	0.0563166
Stanley	0.0562385
Travis	0.0562256
Greg	0.0561472
Wilma	0.0558918
Nathaniel	0.0558788
Barbara	0.0557884
Lee	0.0557602
don	0.0557333
Hoffmann	0.0557076
Stan	0.0556555
Theodore	0.0555466
Ahmed	0.0553794
"Juan Miguel"	0.055289
KEVORKIAN	0.0552519
Jake	0.0552178
Roy	0.0552096
martin	0.0551979
Brett	0.0550637
Schmitz	0.0549333
Jonathan	0.0547261
"Maturino Resendiz"	0.0546652
Billy	0.0546253
Gilbert	0.0546011
ray	0.0545259
franklin	0.0545239
Dominic	0.0542595
Wyatt	0.0540157
Ivan	0.0539736
Sheinbein	0.0539251
Alexander	0.0538702
"Patsy Ramsey"	0.0538498
Raymond	0.0536855
Noel	0.0535116
workman	0.0534798
Maurice	0.0534741
Barton	0.0533903
Klebold	0.0533688
Leonard	0.0533216
))
("Arthur Andersen" (desc 4195.98) (sims
PricewaterhouseCoopers	0.339862
"Price Waterhouse"	0.332484
"KPMG Peat Marwick"	0.318125
"Deloitte &AMP; Touche"	0.304746
KPMG	0.296883
"Ernst &AMP; Young"	0.295244
"McKinsey &AMP; Co."	0.210646
"Andersen Consulting"	0.203127
"Gartner Group"	0.153812
"accounting firm"	0.126077
"Yankee Group"	0.125037
"Jupiter Communications"	0.118881
"Goldman Sachs"	0.103198
"Forrester Research"	0.102763
"Saatchi &AMP; Saatchi"	0.0953819
"Credit Suisse First Boston"	0.0932486
Deloitte	0.0907014
"Merrill Lynch"	0.0876162
"Salomon Brothers"	0.0838119
"Goldman, Sachs &AMP; Co."	0.0829788
"Lehman Brothers"	0.0780639
"Morgan Stanley"	0.0766174
Goldman	0.074281
"Gomez Advisors"	0.0739122
"Vanguard Group"	0.0738547
"GE Capital"	0.0733862
MetLife	0.0730788
"IMS Health"	0.0721669
"International Data Corp."	0.0711668
"General Accounting Office"	0.0708567
"BBDO New York"	0.0694631
"J.P. Morgan"	0.0693589
"Bear Stearns"	0.0674227
Andersen	0.0673786
"Nortel Networks"	0.0669195
"Credit Suisse"	0.0663346
"CMGI Inc."	0.0658635
"General Electric"	0.0656996
"Time Inc."	0.0655561
"consulting firm"	0.0655047
"Families USA"	0.0653602
Citigroup	0.0649872
"Morgan Stanley Dean Witter"	0.0643565
"General Electric Co."	0.0638962
"National Research Council"	0.0638477
Dataquest	0.0637459
Alcatel	0.0634659
"Cox Communications"	0.063454
Publicis	0.0632645
"Congressional Research Service"	0.0632178
WPP	0.0628905
Unilever	0.0626788
CMG	0.0626088
"Salomon Smith Barney"	0.0623401
Nortel	0.0623268
"Mather Worldwide"	0.0622739
Maximus	0.0617146
"Consumers Union"	0.0613274
"New Jersey State Police"	0.0607313
"Hambrecht &AMP; Quist"	0.0606384
"U.S. Army Corps of Engineers"	0.0603252
"Donaldson, Lufkin &AMP; Jenrette"	0.0603025
Litton	0.0602673
"Fallon McElligott"	0.0602442
Siemens	0.0600653
Salomon	0.0598759
"Robertson Stephens"	0.0596763
TYCO	0.0595292
Instinet	0.0591614
Merrill	0.059096
"BankAmerica Corp."	0.0589462
"US West"	0.0582156
Pfizer	0.058077
"Publishers Clearing House"	0.0577272
Omnicom	0.0575711
BankAmerica	0.0574815
All-Tech	0.0573597
"National Cancer Institute"	0.0572492
Conoco	0.0572454
"ABN AMRO"	0.0572213
"Time Warner Inc."	0.0567842
CMGI	0.0567511
"Consolidated Edison"	0.0567419
"Cendant Corp."	0.0566757
"Department of Health and Human Services"	0.0564902
"Softbank Corp."	0.056451
"Pacific Bell"	0.0563668
BofA	0.0562629
Georgia-Pacific	0.0561724
"Philip Morris Cos."	0.055846
"Lucent Technologies"	0.0557268
NCI	0.0557194
"Y&AMP;R"	0.0555997
BellSouth	0.0555994
Citibank	0.055402
"Health Care Financing Administration"	0.0552583
"Warburg Dillon Read"	0.0551443
"Monsanto Co."	0.0551285
"MCI WorldCom"	0.0550617
GTE	0.0549132
Novartis	0.0546581
"Bank of America"	0.054521
Motorola	0.0544695
Ruthardt	0.0544371
"SBC Communications Inc."	0.0543995
BBDO	0.0540856
"Wells Fargo"	0.0539691
Bertelsmann	0.0537304
Astra	0.0535775
Cargill	0.0534322
"Truth Commission"	0.0532084
"Philip Morris"	0.0531889
Mabetex	0.0531034
"Fidelity Investments"	0.0527083
"Bureau of Alcohol"	0.0525718
"U.S. Trust"	0.0525011
"Department of Transportation"	0.0524032
"Media Metrix"	0.052257
"Goldman Sachs &AMP; Co."	0.0521904
"Chase Manhattan"	0.0520158
Lucent	0.0519257
Viacom	0.0518558
Norwest	0.0518319
"Human Rights Watch"	0.0517698
"U S West"	0.0517636
Aetna	0.0517517
"Environmental Protection Agency"	0.0516184
"Sony Corp."	0.0512626
"Gap Inc."	0.0511978
"Lipper Inc."	0.0511512
"National Academy of Sciences"	0.0509059
MCI	0.0508886
"Hongkong Telecom"	0.0507704
Amgen	0.0507082
"Department of Education"	0.0505723
"China Telecom"	0.050453
Ericsson	0.0504368
"American International Group"	0.0503734
"Kenya Airways"	0.0503575
Softbank	0.0503495
"National Grid"	0.0503476
Interpublic	0.0502723
SBC	0.0500776
AHP	0.0499505
"Times Co."	0.0499371
auditor-general	0.0499091
DiCarlo	0.0498775
Citicorp	0.049764
Quackenbush	0.0497426
"Bausch &AMP; Lomb"	0.0497329
"Motorola Inc."	0.0496484
Texaco	0.049576
"Merrill Lynch &AMP; Co."	0.0494422
"Walt Disney"	0.049362
"Federal Trade Commission"	0.0492635
Genzyme	0.0492443
"American Association of Retired Persons"	0.0492037
"First USA"	0.0491799
AIG	0.0491163
Samsung	0.0490326
"Delphi Automotive Systems"	0.0490125
Scripps	0.0489358
"Compaq Computer"	0.0489319
NRC	0.0488296
"Anti-Defamation League"	0.0488182
GEC	0.0487591
"Prudential Insurance Co."	0.0487434
"Kaiser Family Foundation"	0.0487019
"Sprint PCS"	0.0486903
DEP	0.0486218
"Time Warner"	0.0486165
"ING Barings"	0.0484756
GANNETT	0.0484181
"UAL Corp."	0.0484166
"Dow Corning"	0.0482847
"UBS AG"	0.0482793
"Dresdner Bank"	0.0482647
"Human Rights Commission"	0.0482537
"Pfizer Inc."	0.0481988
Westinghouse	0.0481899
"J.P. Morgan &AMP; Co."	0.0481891
"Dow Chemical"	0.0480744
"Bankers Trust"	0.048067
"ad agency"	0.0480352
"Nigerian National Petroleum Corporation"	0.0480118
DoubleClick	0.0479493
"Federated Department Stores"	0.047885
"Citigroup Inc."	0.0478032
ENTERGY	0.0476621
E-LOAN	0.047644
"Brown &AMP; Williamson Tobacco Corp."	0.0475155
Hewlett-Packard	0.0474142
"Hughes Electronics"	0.0473892
"Bankers Trust Corp."	0.0473834
Genentech	0.0473683
"Urban Institute"	0.0473461
Providian	0.047334
Gartner	0.0472422
"Sierra Club"	0.0472136
"Aetna U.S. Healthcare"	0.047175
))
("Arthur Ashe" (desc 1791.9) (sims
"Chris Evert"	0.206258
"Ivan Lendl"	0.201956
"Bjorn Borg"	0.169502
"Billie Jean King"	0.162085
"John McEnroe"	0.153949
"Martina Navratilova"	0.106218
"Roy Emerson"	0.100791
"Jimmy Connors"	0.0987796
"Boris Becker"	0.0973595
Borg	0.0904901
"Mats Wilander"	0.0864291
"Rod Laver"	0.0828597
"Roy Campanella"	0.0744711
"Alexandra Stevenson"	0.0730981
"Walter Payton"	0.0702446
"Pat Rafter"	0.0667942
"Michael Stich"	0.0665505
"Sandy Koufax"	0.0663418
"Pete Sampras"	0.0653026
"Corey Pavin"	0.0628352
"Doak Walker"	0.0616898
"Lei Feng"	0.0609497
"Steffi Graf"	0.0584846
"Blaine Wilson"	0.0576787
"Stefan Edberg"	0.0563118
Laver	0.0554743
"Christine Arron"	0.0552901
"Thomas Muster"	0.0542301
"Todd Eldredge"	0.0541417
"Kostya Tszyu"	0.0539761
"Miguel Indurain"	0.0538943
"Barry Switzer"	0.0533412
"Eddie Cheever"	0.0521994
"Kurt Vonnegut"	0.052123
Intimidator	0.052101
"Muhammad Ali"	0.0519982
"Goran Ivanisevic"	0.0514209
Nicol	0.0510673
Evert	0.0510544
"Petr Korda"	0.0510063
"Jennifer Capriati"	0.0507263
"Bill Russell"	0.0499842
"HOWARD COSELL"	0.0499066
"Xiong Ni"	0.0498986
"Michael Weiss"	0.0498341
"Ted Williams"	0.0485585
"Alberto Tomba"	0.0484947
"Serena Williams"	0.0483741
"Claudia Poll"	0.0483387
"Joe Paterno"	0.0482032
"Willie Mays"	0.0479272
"Jonathan Stark"	0.0476201
"Anna Kournikova"	0.0475757
"Gunda Niemann-Stirnemann"	0.0473455
"Wilt Chamberlain"	0.0472245
"Paulie Ayala"	0.0470367
"Mickey Mantle"	0.0465936
"Jesse Owens"	0.0462904
"Johnny Tapia"	0.0462411
"Reggie Lewis"	0.0458633
"Matt Kuchar"	0.0457434
"Kimiko Date"	0.0456194
"Michael Chang"	0.045508
"Alexei Yagudin"	0.0454199
Seizinger	0.0453497
"Alex Zanardi"	0.0450167
"Jana Novotna"	0.0448534
"first pitcher"	0.0445179
"Mark Tuinei"	0.0443344
"Sonny Liston"	0.0439868
Newcombe	0.0439603
"Irina Slutskaya"	0.0438067
"Leon Hess"	0.0437719
"Michel Platini"	0.0435288
"A.P Indy"	0.0434711
"Picabo Street"	0.0433452
"Shane Mosley"	0.0433446
"Tamarine Tanasugarn"	0.0432083
"Oliver McCall"	0.0427436
"Bob Marley"	0.0426644
"Carl Lewis"	0.042645
"Joe Louis"	0.042366
"Yankee Clipper"	0.0421915
"Elvis Stojko"	0.0421903
"Passion play"	0.0420551
"Steve Elkington"	0.0418037
"Juli Inkster"	0.0417869
"Moses Tanui"	0.041779
"Favorite Trick"	0.0417544
"Susie O'Neill"	0.0411692
"Yayuk Basuki"	0.0410995
"Robert Shaw"	0.0410833
"Max Biaggi"	0.0408538
"Michael Moorer"	0.0407081
"Jim Courier"	0.0406333
"Paul Lawrie"	0.0405713
"Franz Beckenbauer"	0.0404493
"Fernando Vargas"	0.0403952
"Joe DiMaggio"	0.0403787
"Jimmy Vasser"	0.040329
"Grant Hackett"	0.0402919
"David Reid"	0.0402871
"Mark Calcavecchia"	0.0402778
"Democratic Revolution"	0.0400365
))
("Arthur Ashe Stadium" (desc 3207.78) (sims
"National Tennis Center"	0.16925
"Olympic Stadium"	0.0970127
Filderstadt	0.0900789
"Melbourne Park"	0.075966
"Kiel Center"	0.0757096
"Stade de France"	0.0711191
"Foxboro Stadium"	0.0708957
"Stade Velodrome"	0.0695939
"Convention Center"	0.0680364
"Georgia Dome"	0.0667255
"domed stadium"	0.0666185
"French Open"	0.0649026
Superdome	0.0647336
"Miami Arena"	0.06394
"Jack Kent Cooke Stadium"	0.063893
"Chase Championships"	0.0610998
Wembley	0.059967
"World Team Cup"	0.0597501
"Roland Garros"	0.0592823
"Longwood Cricket Club"	0.0567138
Astrodome	0.0564065
"Flushing Meadows"	0.0557718
nightspot	0.0555815
"Australian Open"	0.054531
"European Swimming Championships"	0.0537815
"National Stadium"	0.0536898
Tuscaloosa	0.0529974
"Grand Slam Cup"	0.0526264
"particle accelerator"	0.0523822
"Philips Arena"	0.051992
"Giants Stadium"	0.0517262
"reception room"	0.0511109
"Thomas Cup"	0.0502426
"Madison Square Garden"	0.0501572
"sports arena"	0.0498646
"World Table Tennis Championships"	0.0494807
Tallinn	0.0492035
"football stadium"	0.0491938
"John F. Kennedy International Airport"	0.0483483
Metrodome	0.0481295
"civic center"	0.0481136
"BellSouth Classic"	0.047663
"Indian Wells"	0.0476376
"Lipton Championships"	0.0475257
"Fed Cup"	0.0464944
"Millrose Games"	0.0463983
"Boston Garden"	0.0462492
"Pac Bell Park"	0.0460064
"Maurier Open"	0.0458166
"World Basketball Championship"	0.0457044
"Villa Park"	0.0456177
"Victory Lane"	0.0453405
Grandstand	0.0446106
"Turner Field"	0.0445214
Lyon	0.044315
"Hamlet Cup"	0.0437877
Toulouse	0.0435273
"World Figure Skating Championships"	0.0434974
ballroom	0.0433468
"Reunion Arena"	0.0430593
Meadowlands	0.0430082
"First Union Center"	0.0429123
"Fenway Park"	0.0423943
Hanover	0.0423704
"World Athletics Championships"	0.0419333
"Symphony Hall"	0.0416005
"World University Games"	0.0409601
"Pan Am Games"	0.0409165
"Comerica Park"	0.0406604
"Al-Aqsa Mosque"	0.0404448
concourse	0.0401452
Adelaide	0.0400985
"Manger Square"	0.0400545
))
("Arthur Levitt" (desc 1082.54) (sims
"Sumner Redstone"	0.226247
"Tony Coelho"	0.211594
"Nur Misuari"	0.204029
"Jim Nicholson"	0.202187
"Jack Gargan"	0.189733
"Roy Romer"	0.180188
"John Shalikashvili"	0.176878
"Archbishop Desmond Tutu"	0.175094
Harmoko	0.167592
"Tom Johnson"	0.160118
"Oskar Lafontaine"	0.157996
"M. Douglas Ivester"	0.15655
"Gerald Levin"	0.155659
"Julian Bond"	0.152431
"Jack Welch"	0.151019
"Porter Goss"	0.151008
"Pete Domenici"	0.149724
"Charles Dolan"	0.146177
"Benjamin Gilman"	0.141603
"Mel Karmazin"	0.140983
"Michael Eisner"	0.139319
"Yegor Stroyev"	0.13907
"Jerry Reinsdorf"	0.138938
"John Boehner"	0.137487
"Don Young"	0.136413
"Steve Case"	0.132282
"James Sensenbrenner"	0.131893
"Martin Lee"	0.131045
"Marzuki Darusman"	0.129263
"Robert Aventajado"	0.128787
"Dan Burton"	0.128647
"William Roth"	0.127501
"Hugh Shelton"	0.125796
"Amien Rais"	0.12396
"Jim Leach"	0.122815
"Bill Archer"	0.122076
"Tommy Thompson"	0.120994
"Jack Smith"	0.120824
"John Browne"	0.120421
"William Daley"	0.118154
R-Del.	0.117211
"Klaus Naumann"	0.11691
"Gianni Agnelli"	0.116898
"Alija Izetbegovic"	0.116599
"Billy Payne"	0.115324
"Ted Stevens"	0.114797
"Alan Greenspan"	0.113618
"Frank Murkowski"	0.113414
"Henry Shelton"	0.11254
Levitt	0.112516
"Than Shwe"	0.112004
"John Warner"	0.111828
R-N.M.	0.111513
"Martin Frost"	0.111429
"Wang Daohan"	0.1111
"Tom Davis"	0.110377
"Fatos Nano"	0.108162
"Wolfgang Schaeuble"	0.10665
"Desmond Tutu"	0.105893
Zarb	0.105876
"Chea Sim"	0.105816
"Lucio Tan"	0.105133
"Lamar Smith"	0.104884
"Defense William Cohen"	0.104324
R-La.	0.103928
"Barry Diller"	0.103694
"Edgar Bronfman Jr."	0.103517
"Dan Miller"	0.102933
R-Ind.	0.102791
R-Alaska	0.102308
"Henry H. Shelton"	0.101517
"David Dreier"	0.101206
"Yossi Sarid"	0.101146
R-N.C.	0.100732
Brownback	0.0994266
R-Vt.	0.0991368
"Rolf Ekeus"	0.0991233
D-S.C.	0.0991023
"Bill Thomas"	0.0970103
Kennard	0.0969116
"Henry Hyde"	0.0968222
"Gennady Seleznyov"	0.0959589
R-Iowa	0.0956264
R-Mich.	0.0952439
"Jack Valenti"	0.0949536
"Richard Shelby"	0.0949172
R-Wis.	0.0935441
"Lee Hamilton"	0.0934351
"Gene Sperling"	0.092847
"Gennady Zyuganov"	0.0922862
"Mitch McConnell"	0.0920873
R-Ky.	0.0911832
Mukora	0.0910532
"Orrin Hatch"	0.0902696
"Warren Rudman"	0.0898432
"Qiao Shi"	0.0895745
"J.C. Watts"	0.0890356
"Vince McMahon"	0.0877844
"Richard Lugar"	0.0875596
R-Ohio	0.087195
"Cyril Ramaphosa"	0.0860347
R-S.C.	0.0858136
Kyl	0.0853246
"George Mitchell"	0.0847171
"Jesse Helms"	0.0846394
"Hans Blix"	0.0834738
"Richard Butler"	0.0834586
R-Ala.	0.0832647
R-Va.	0.0832484
"Michael Dell"	0.0832423
"Larry Ellison"	0.0831861
"Li Ruihuan"	0.0830612
Mkapa	0.0827506
"Qian Qichen"	0.0826436
"Ronald Perelman"	0.0825873
"Richard Branson"	0.0821913
Juma	0.0817905
Wilhelm	0.0811292
R-Utah	0.0805676
R-Mo.	0.0804321
"Frank Joklik"	0.0803613
R-Fla.	0.0802971
"Jacques Rogge"	0.0802323
"Charles Canady"	0.0798004
Misuari	0.0792573
"John Linder"	0.0778459
R-N.H.	0.077558
"Jonas Savimbi"	0.0773662
Ashrawi	0.0772441
Gilman	0.0767777
"John Koskinen"	0.075821
"Fred Meyer"	0.0753036
Rudman	0.0752091
"Billy Tauzin"	0.0751119
R-Tenn.	0.0749861
"John Malone"	0.0749324
"British Foreign Office"	0.074919
Ebersol	0.074784
"Michel Camdessus"	0.0747115
"Phil Gramm"	0.0744597
"John Kasich"	0.0743542
Naumann	0.0743051
Kasoulides	0.0742657
Abdel-Meguid	0.0742328
"Patrick Kennedy"	0.0741424
"Tian Jiyun"	0.074085
CSE	0.073774
"Scott McNealy"	0.0737578
R-Ill.	0.0735189
Seselj	0.0734565
Terra	0.0730888
"Robert Bennett"	0.0729724
Goss	0.0726418
Joklik	0.0725507
"Fred Thompson"	0.0717032
"Bruton Smith"	0.0712451
R-N.J.	0.070891
Rafsanjani	0.0707953
"Cheng Siwei"	0.0701751
R-Pa.	0.0698091
Jing	0.069593
"Terry McAuliffe"	0.0695863
R-N.Y.	0.0694273
"Orlando Mercado"	0.0693301
Buthelezi	0.0690583
Qiao	0.0690138
Tennant	0.068868
Verney	0.0688544
Yadav	0.068737
"John Kelly"	0.0687231
"Zhou Guangzhao"	0.0686491
"Bill Graves"	0.0680447
"Mesut Yilmaz"	0.0679243
Meguid	0.0672553
R-Kan.	0.0667725
"Robert E. Rubin"	0.0666536
Domenici	0.0665558
Izetbegovic	0.0665309
"Tim Fischer"	0.066428
"Paul Patton"	0.0663609
Koop	0.0662806
"Secretary General Esmat Abdul-Meguid"	0.0662733
Scharping	0.0659408
"Esther Dyson"	0.0657819
Carollo	0.0657509
Velayati	0.0657025
Tevanian	0.0655267
Kushner	0.0654589
Helms	0.0653498
Gosper	0.0650394
Surin	0.065008
Nasrallah	0.0647969
"Harvey Weinstein"	0.0647094
Kyprianou	0.0645758
"Illinois Republican"	0.0644696
Landau	0.0643265
Inhofe	0.0643131
Vasile	0.0639398
"Congressional Republicans"	0.0638792
"Megawati Soekarnoputri"	0.0637364
))
("Arthur Miller" (desc 6223.86) (sims
"Eugene O'Neill"	0.178118
"Tennessee Williams"	0.173897
"David Hare"	0.145431
"Wendy Wasserstein"	0.14438
"Tom Stoppard"	0.13442
"Terrence McNally"	0.131709
Ibsen	0.122008
"Sam Shepard"	0.120172
"David Mamet"	0.116775
"Larry Sabato"	0.111886
"Oscar Wilde"	0.110331
"Samuel Beckett"	0.0974079
"Harold Pinter"	0.0950497
"Edward Albee"	0.0949852
"Neil Simon"	0.0936268
"Wole Soyinka"	0.0926228
Chekhov	0.0912342
"George Bernard Shaw"	0.0836418
"Truman Capote"	0.0797935
Vogel	0.0779178
"Noel Coward"	0.0709151
"Thomas Mann"	0.0701546
"Jack Kerouac"	0.0687823
Brecht	0.068701
McPherson	0.0673087
MAMET	0.0664419
"William Shakespeare"	0.0652832
"Isabel Allende"	0.0651578
"E.L Doctorow"	0.0640111
Shakespeare	0.0601355
"Ken Saro-Wiwa"	0.0598202
Racine	0.059806
Rabe	0.0580124
"Gertrude Stein"	0.0569081
"Graham Greene"	0.0565488
"Ernest Hemingway"	0.0560323
"Norman Mailer"	0.0556966
Moliere	0.0554948
"John Irving"	0.0545602
Bard	0.0540736
"Vaclav Havel"	0.0539602
"F. Scott Fitzgerald"	0.0539454
"Andrew Morton"	0.0538489
"Eudora Welty"	0.0533147
"Vladimir Nabokov"	0.0527615
"John Steinbeck"	0.0525172
"Orson Welles"	0.0524416
Wilde	0.051752
hare	0.0512214
Rosenbaum	0.0511286
"Thomas Edison"	0.0507483
Beckett	0.0503752
"Mark Twain"	0.0500021
Hemingway	0.0499411
McNally	0.0498791
"John Updike"	0.0497081
"Gore Vidal"	0.0493085
"David E. Kelley"	0.0490147
"Toni Morrison"	0.0490134
"Aaron Sorkin"	0.0488037
Tolstoy	0.0483877
"True West"	0.0476936
"E.B White"	0.0470008
Stoppard	0.0467633
"Alan Ball"	0.0466332
"Maya Angelou"	0.0460984
"Tom Wolfe"	0.0457164
Poe	0.0452454
Edson	0.0447701
krueger	0.0444094
"Susan Sontag"	0.0435529
Shepard	0.043448
"Stephen King"	0.0434339
"Alice Walker"	0.0434314
Schiller	0.0430998
Rivlin	0.0422176
Melville	0.0412774
Cao	0.0412404
Pulitzer	0.0412299
Wilder	0.0411173
Blackman	0.0409818
"Emily Dickinson"	0.040959
Epstein	0.0409561
"Gabriel Garcia Marquez"	0.040708
Merritt	0.0404525
O'Neill	0.0404359
Gerstner	0.0400456
))
("Arthur Rhodes" (desc 3322.49) (sims
"Jose Paniagua"	0.303695
"Jason Christiansen"	0.298385
"Jose Mesa"	0.297355
"Alan Embree"	0.265198
"Rheal Cormier"	0.25652
"Jesse Orosco"	0.251144
"Mike Remlinger"	0.247358
"Mike Magnante"	0.243226
"Mark Langston"	0.234015
"Pat Mahomes"	0.233603
"Pedro Borbon"	0.231055
"Kazuhiro Sasaki"	0.227957
"Greg Swindell"	0.227084
"Mike Holtz"	0.226687
"Paul Spoljaric"	0.225507
"Mike Stanton"	0.217094
"Dennis Cook"	0.216902
"Mark Guthrie"	0.211987
"Mike Venafro"	0.211185
"Ron Villone"	0.209941
"John Halama"	0.207585
"Randy Myers"	0.205737
"Chuck McElroy"	0.203223
"Graeme Lloyd"	0.202877
"Jamie Moyer"	0.197567
"Turk Wendell"	0.197512
"Doug Henry"	0.194516
"Scott Radinsky"	0.191434
"Mike Timlin"	0.188758
"Danny Graves"	0.188536
"Rich Garces"	0.18849
"Kent Mercker"	0.18702
"Jeff Fassero"	0.183339
"Terry Mulholland"	0.181287
"Rich Rodriguez"	0.179897
"Frankie Rodriguez"	0.179697
"Heathcliff Slocumb"	0.179109
"Allen Watson"	0.179049
"Matt Mantei"	0.178056
"Russ Springer"	0.177765
"Onan Masaoka"	0.177669
"Brian Bohanon"	0.177344
"Armando Benitez"	0.176112
"Shigetoshi Hasegawa"	0.175887
"Mark Petkovsek"	0.174552
"John Wetteland"	0.173621
"Kirk Rueter"	0.172905
"Troy Percival"	0.172246
"Paul Abbott"	0.17185
"DOUG JONES"	0.167787
"Tim Crabtree"	0.16708
"Kerry Ligtenberg"	0.16674
"Derek Lowe"	0.166467
"Scott Sullivan"	0.165714
"Scott Williamson"	0.165144
"Pete Schourek"	0.164814
"Jason Grimsley"	0.162163
"Paul Shuey"	0.161302
"Donne Wall"	0.161152
"Jeff Shaw"	0.158646
"Rick Aguilera"	0.157555
"Sterling Hitchcock"	0.157482
"Brian Anderson"	0.157378
"Jeff Nelson"	0.157323
"Eric Gunderson"	0.157302
"Bruce Chen"	0.156561
"Doug Davis"	0.156445
"Roberto Hernandez"	0.154543
"Jason Schmidt"	0.154519
"Billy Wagner"	0.153693
"Shawn Estes"	0.15338
"Terry Adams"	0.152825
"Mark Leiter"	0.152493
"Mike Morgan"	0.150691
"Trevor Hoffman"	0.150463
"Alan Mills"	0.149272
"Darren Oliver"	0.148177
"Tom Gordon"	0.147758
"Mac Suzuki"	0.147044
"Mariano Rivera"	0.146658
"Ed Yarnall"	0.14648
"Jay Powell"	0.144593
"Todd Jones"	0.144461
"Eric Milton"	0.143316
"Brett Tomko"	0.143053
"Scott Karl"	0.143008
"Kenny Rogers"	0.142871
"Rod Beck"	0.140508
"Gregg Olson"	0.139754
"Jim Parque"	0.139627
"Odalis Perez"	0.138657
"Willie Blair"	0.138563
"Pedro Astacio"	0.138523
"Mike Williams"	0.138512
"Justin Thompson"	0.13728
"Denny Neagle"	0.136819
"Jeff Zimmerman"	0.136804
"John Wasdin"	0.136081
"John Franco"	0.135466
"Bryce Florie"	0.135072
"Ricky Bottalico"	0.134761
"Jeff Brantley"	0.134355
"Andy Benes"	0.133729
"Octavio Dotel"	0.132707
"Omar Daal"	0.132305
"STEVE WOODARD"	0.131589
"Mike Fetters"	0.131511
"Aaron Sele"	0.13061
"Chuck Finley"	0.130455
"John Hudek"	0.130427
"Steve Avery"	0.129396
"Dustin Hermanson"	0.129214
"Scott Erickson"	0.128988
"Tim Wakefield"	0.128672
"Steve Parris"	0.127904
"Carlos Perez"	0.12723
"Jarrod Washburn"	0.126984
"Javier Vazquez"	0.125722
"Andy Pettitte"	0.125709
"Mark Wohlers"	0.125364
"Jeff Williams"	0.125357
"Al Leiter"	0.123484
"Mike Sirotka"	0.123481
"Robb Nen"	0.12288
"Jesus Sanchez"	0.121903
"Mark Gardner"	0.120415
"Antonio Osuna"	0.11966
"Matt Herges"	0.118695
"Rick Helling"	0.11831
"Dennis Reyes"	0.118291
"Stan Javier"	0.116394
"Byung-Hyun Kim"	0.115651
"Rudy Seanez"	0.114385
"Brett Hinchliffe"	0.11405
"Ramiro Mendoza"	0.113909
"Wilson Alvarez"	0.113657
"Jose Jimenez"	0.113558
"Al Levine"	0.112145
"Matt Morris"	0.111605
"Steve Trachsel"	0.110868
"Rick White"	0.10989
"John Rocker"	0.108328
"Billy Taylor"	0.10816
"Matt Perisho"	0.107795
"Francisco Cordero"	0.107443
"Pat Rapp"	0.106404
"Mike Hampton"	0.106156
"Dan Miceli"	0.106123
"Kevin Appier"	0.105842
"Bill Pulsipher"	0.105809
"Chris Holt"	0.104785
"Dave Burba"	0.104527
"Jason Isringhausen"	0.104442
"Russ Ortiz"	0.104041
"Greg McMichael"	0.103701
"Danny Patterson"	0.103504
"Darren Holmes"	0.102789
"Scott Elarton"	0.102642
"Tom Glavine"	0.102258
"Sidney Ponson"	0.102066
Fassero	0.101912
Mahomes	0.101631
"Jim Corsi"	0.10146
"Bartolo Colon"	0.100558
"Scott Schoeneweis"	0.100487
Ankiel	0.100297
Rusch	0.100264
"Masato Yoshii"	0.0993091
"Ken Cloude"	0.0990342
"Omar Olivares"	0.0990146
"Mike Cameron"	0.0987905
Glavine	0.0976793
"Woody Williams"	0.0970591
"Esteban Loaiza"	0.0966302
"Gil Meche"	0.0961357
"Dwight Gooden"	0.0959298
"Mike Jackson"	0.0958466
"Juan Guzman"	0.0954829
Mantei	0.0953227
"Randy Johnson"	0.095166
"Chris Carpenter"	0.0945772
"Tom Candiotti"	0.0936528
"Jamey Wright"	0.0935557
"Brian Moehler"	0.0931874
"Dennis Eckersley"	0.0929628
"Kevin Millwood"	0.0926984
Halama	0.0926513
"Dennis Martinez"	0.0925304
"Jaret Wright"	0.0925064
"Carl Pavano"	0.0921997
"Orel Hershiser"	0.0920451
"Jeff Weaver"	0.0919621
"Bob Wickman"	0.0917662
"Tim Belcher"	0.0916181
"Jon Lieber"	0.0908876
"Ramon Ortiz"	0.0904146
"Jamie Arnold"	0.0902323
"Chan Ho Park"	0.0900203
"Armando Reynoso"	0.0886895
Herges	0.0885002
))
(Arthurs (desc 981.91) (sims
"Xavier Malisse"	0.124383
Sidot	0.12198
Schalken	0.1182
"Wayne Arthurs"	0.110256
Gustafsson	0.109595
Santoro	0.10694
Puerta	0.105825
Prinosil	0.104357
Mantilla	0.101334
Clavet	0.100741
"Kim Clijsters"	0.0993476
Huizenga	0.0991955
"Ron Villone"	0.0989356
Godwin	0.0979826
Golota	0.0969042
"Mariano Zabaleta"	0.0958526
Mauresmo	0.0943925
Zvereva	0.0920873
"Jelena Dokic"	0.0918412
"Neville Godwin"	0.091788
"Filip Dewulf"	0.0909226
Ulihrach	0.0881165
Paes	0.0874232
"Richard Fromberg"	0.0848263
"Nathalie Dechy"	0.0838033
"Paul Goldstein"	0.083587
"Christian Ruud"	0.0826258
"Barbara Schwartz"	0.0815835
Kroslak	0.0815763
"Alan Embree"	0.080795
"Van Roost"	0.0807231
"Magui Serna"	0.0797123
"Chris Woodruff"	0.0796756
"Hernan Gumy"	0.0795201
Boardman	0.0791866
"Jerome Golmard"	0.0783691
"Lleyton Hewitt"	0.0782658
"Franco Squillari"	0.0781534
"Lu Yufu"	0.0776294
"Paul Spoljaric"	0.076608
"Sargis Sargsian"	0.0765271
"Albert Portas"	0.0760073
Schnyder	0.0751729
Dokic	0.0751384
Corretja	0.0751113
"Jason Christiansen"	0.0745664
Pavel	0.0738665
Testud	0.0736337
RedHawks	0.0734168
Kucera	0.072962
"Daniel Nestor"	0.0726867
"Mark Woodforde"	0.0722306
Bruguera	0.0721397
Haas	0.0719339
"Jesse Orosco"	0.0718478
Taufik	0.0712154
Serna	0.0710728
Damm	0.071029
Stoltenberg	0.0708471
rios	0.0705621
"Anne Kremer"	0.0705415
Hewitt	0.0703682
"Galo Blanco"	0.0702866
"Onan Masaoka"	0.0699426
"Eric Gunderson"	0.0698432
"Marat Safin"	0.0694714
"Marcos Ondruska"	0.0691857
"Sebastien Grosjean"	0.0691825
"Tatiana Panova"	0.0691029
Siemerink	0.0684098
Meligeni	0.0683993
"Magdalena Maleeva"	0.0681877
Grosjean	0.0675889
"Sjeng Schalken"	0.0675313
"Mikael Tillstrom"	0.0672861
"Max Mirnyi"	0.0666863
Berasategui	0.0665601
"Pedro Borbon"	0.0663747
"Ian Wright"	0.0662113
"Adrian Voinea"	0.0660259
"Jason Stoltenberg"	0.0651102
Swardt	0.0647338
"Richey Reneberg"	0.064591
"Carlos Santana"	0.064511
"Mark Bosnich"	0.0644828
"Leander Paes"	0.064122
"Sinisa Mihajlovic"	0.0640882
"Sebastien Lareau"	0.0635459
"Penny Heyns"	0.0633876
"South African Amanda Coetzer"	0.0632999
"Bafana Bafana"	0.0632442
"Tamarine Tanasugarn"	0.0630843
"Dominique Van Roost"	0.0626878
"Byron Black"	0.0625885
cager	0.0625388
Medvedev	0.0625312
Rusedski	0.0624
Ilie	0.062376
"Brian Anderson"	0.0621212
Coetzer	0.0620198
"Jim Parque"	0.0620085
"Sarah Pitkowski"	0.0620041
"Mike Holtz"	0.0619784
"Jeff Williams"	0.061972
Halard-Decugis	0.0617331
Haarhuis	0.0613775
"Els Callens"	0.0613584
"Fernando Meligeni"	0.0613526
"Martin Lee"	0.0613102
"Alexandra Stevenson"	0.0612325
"Ed Yarnall"	0.0611972
"Andrea Gaudenzi"	0.0611444
Arazi	0.0609799
"Felix Mantilla"	0.0609507
Susanti	0.0608314
Huber	0.060797
"American Chanda Rubin"	0.0607446
"Andrei Pavel"	0.0607001
Sautin	0.0606988
Likhovtseva	0.060406
Woodforde	0.0603946
Nicol	0.0603045
"Hristo Stoichkov"	0.0600532
"Chuck McElroy"	0.0599829
"Francisco Clavet"	0.0596045
Kremer	0.0594143
"MaliVai Washington"	0.0592978
Gimelstob	0.0592833
Moreau	0.0591541
"Paul Keating"	0.0591537
Capriati	0.059149
"Mike Venafro"	0.0589602
Kiefer	0.0588656
"Sandra Voelker"	0.0586356
"Vladimir Samsonov"	0.0585017
"Todd Woodbridge"	0.0584432
"guitar player"	0.0583391
"Silvia Farina"	0.0582254
"Roger Federer"	0.0579949
"Elena Dementieva"	0.0578382
"Rainer Schuttler"	0.0578148
"Bruce Chen"	0.0577718
"Anne-Gaelle Sidot"	0.057609
"Grant Hackett"	0.0573855
"Briton Greg Rusedski"	0.0572178
"Slava Dosedel"	0.0571776
Atler	0.0570671
Schett	0.0569906
"Sabine Appelmans"	0.0569516
"Mirjana Lucic"	0.0568521
"Odalis Perez"	0.0568089
"Andrew Ilie"	0.0565885
Philippoussis	0.0564076
"Brooke Bennett"	0.0562791
"Julie Halard-Decugis"	0.0562233
Fenerbahce	0.0559883
"Olga Barabanschikova"	0.0557355
"Susie O'Neill"	0.0556911
"Greg Swindell"	0.0550194
Bae	0.0547357
Villeneuve	0.0547115
"Graeme Lloyd"	0.0546501
Tauziat	0.0545396
"Jan-Michael Gambill"	0.0543258
Suarez	0.0540989
ensign	0.0539773
Moya	0.0537899
Lucic	0.0536815
Enqvist	0.0535976
"John Van Lottum"	0.0535611
Henman	0.0533212
"Vincent Spadea"	0.0529748
"Hicham Arazi"	0.0529606
"Ai Sugiyama"	0.0528878
"Miriam Oremans"	0.0527994
Weah	0.0526222
Abram	0.0526087
"Mark Langston"	0.0525376
"Ji Xinpeng"	0.0523966
"Rodney Eyles"	0.0523384
"Mark Guthrie"	0.052116
Kuerten	0.0520918
"Dominik Hrbaty"	0.0520266
Dane	0.0519745
Ince	0.0519549
"Mike Magnante"	0.0519072
Dutchman	0.0517407
"Jimmy Page"	0.0517203
"Crimson Tide"	0.0517188
"Natasha Zvereva"	0.0516856
"Russian Yevgeny Kafelnikov"	0.0516673
"Ian Thorpe"	0.0516343
Yagudin	0.0516263
Woodbridge	0.0516094
Szabo	0.0516059
"Fighting Irish"	0.0515829
Kafelnikov	0.0514194
Paxon	0.0511926
"Jacques Villeneuve"	0.0511241
Chara	0.0509925
))
(artichoke (desc 11315) (sims
spinach	0.235636
leek	0.232945
zucchini	0.228342
fennel	0.219006
asparagus	0.217085
onion	0.21699
eggplant	0.216124
celery	0.211452
tomato	0.209801
"red pepper"	0.203252
cabbage	0.19792
arugula	0.193986
mushroom	0.193826
cucumber	0.19294
Broccoli	0.192172
carrot	0.188037
lettuce	0.186628
beet	0.185206
Garlic	0.182144
potato	0.178731
turnip	0.175697
pea	0.170686
cauliflower	0.168702
"bell pepper"	0.168266
"red onion"	0.16824
squash	0.16623
"green bean"	0.160751
"brussels sprout"	0.155849
radish	0.154717
pepper	0.150908
olive	0.149932
scallion	0.14984
Chickpea	0.149634
"sweet potato"	0.149551
"green onion"	0.149276
shallot	0.14831
melon	0.148282
bean	0.147112
Basil	0.146617
"goat cheese"	0.145529
"chicken breast"	0.145485
vegetable	0.142699
parsnip	0.142514
parsley	0.141743
"white bean"	0.140439
"green pepper"	0.139573
avocado	0.139487
anchovy	0.139041
RHUBARB	0.138928
shrimp	0.138651
watercress	0.138043
cheese	0.137703
"tomato sauce"	0.137666
okra	0.136408
mozzarella	0.135536
Endive	0.135522
pear	0.135157
fig	0.134335
lemon	0.133266
noodle	0.132397
lentil	0.131776
pineapple	0.130941
cilantro	0.130725
pumpkin	0.129117
crab	0.128832
peach	0.128214
romaine	0.128095
chicken	0.127791
"fava bean"	0.126154
radicchio	0.125926
prosciutto	0.125652
plantain	0.123865
"black olive"	0.123371
"beef tenderloin"	0.122932
"shiitake mushroom"	0.121887
corn	0.121103
pasta	0.120171
octopus	0.119615
chilies	0.119147
"garlic clove"	0.118782
chive	0.118206
mussel	0.116806
mango	0.11663
scallop	0.116486
morel	0.116228
ham	0.115963
"bok choy"	0.115864
herb	0.115801
"Swiss chard"	0.115799
chorizo	0.114701
clam	0.11409
salad	0.113824
pancetta	0.113045
"black bean"	0.11291
Kale	0.112909
"pine nut"	0.111873
"green olive"	0.111772
tarragon	0.11165
"roast beef"	0.111165
Parmesan	0.110881
truffle	0.110849
pork	0.110538
lobster	0.10997
chiles	0.109162
squid	0.108496
"hard-boiled egg"	0.108173
TOMATOES	0.107928
ricotta	0.107908
sausage	0.107783
bacon	0.107249
"cherry tomato"	0.106378
tofu	0.106374
oregano	0.1063
cantaloupe	0.105865
veggie	0.10586
chard	0.104915
"root vegetable"	0.104191
"olive oil"	0.103929
ginger	0.103917
oyster	0.103841
strawberry	0.10375
steak	0.103691
tortilla	0.102908
"wild rice"	0.102703
lamb	0.102325
"bay leaf"	0.102311
caper	0.102234
florets	0.101511
"lima bean"	0.101481
Collard	0.101442
mayonnaise	0.10138
salmon	0.101285
"sea bass"	0.101193
almond	0.100943
salami	0.100819
polenta	0.100622
meat	0.10022
apple	0.100127
"foie gras"	0.0999944
thyme	0.0998071
rosemary	0.099772
walnut	0.0994803
frisee	0.0990769
tomatillo	0.0988818
sauce	0.0988402
"Vidalia onion"	0.0987539
"blue cheese"	0.0986556
tuna	0.0985019
Sorrel	0.0982335
nectarine	0.0979016
jalapeno	0.0976143
mustard	0.0972311
quail	0.0971009
fillet	0.0968732
salsa	0.096675
"iceberg lettuce"	0.0962746
dill	0.0961918
sprout	0.0961877
meatloaf	0.0957337
"tomato paste"	0.0956555
egg	0.0953012
bread	0.0951336
"winter squash"	0.0946893
sauerkraut	0.0946416
puree	0.0936991
seafood	0.0935353
yolk	0.0928454
barley	0.0927266
Quince	0.092701
watermelon	0.0924105
pickle	0.0916789
"bean sprout"	0.0910944
ravioli	0.0910809
mint	0.0910772
vinaigrette	0.0905886
vinegar	0.0903348
"water chestnut"	0.090164
clove	0.0890111
Chili	0.0889934
"lemon juice"	0.0886842
cranberry	0.088651
slice	0.0884902
banana	0.0884117
"black-eyed pea"	0.0883149
spaghetti	0.0878568
bulgur	0.0877594
halibut	0.0872744
pecan	0.0872287
berry	0.0869261
"peanut butter"	0.0867542
yam	0.0864371
grape	0.0858961
dumpling	0.0858504
"pot roast"	0.0858402
apricot	0.0856783
linguine	0.0856388
broth	0.0854854
rice	0.0854037
fruit	0.085361
blueberry	0.0849272
))
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product	0.0651821
Dinosaur	0.0651763
plaque	0.0651448
text	0.0650803
garment	0.0650155
statuary	0.0649048
data	0.0648503
videotape	0.0647603
vessel	0.0646362
corpse	0.064577
appliance	0.0645758
culture	0.0645455
glassware	0.0644183
lamp	0.064374
commodity	0.0643136
VCDs	0.0642953
prop	0.064283
"compact disc"	0.064214
heirloom	0.0639449
Recording	0.0638727
"fine art"	0.0635837
gift	0.063556
oddity	0.0634989
article	0.063457
statuette	0.0633588
museum	0.0633231
history	0.0630316
"sheet music"	0.0629677
"newspaper clipping"	0.0629016
debris	0.0627293
kiln	0.0627259
meteorite	0.0625253
"film clip"	0.0625126
"building material"	0.0623311
valuable	0.0621748
works	0.0621356
civilization	0.0617834
skull	0.0616766
recipe	0.0613906
engraving	0.0613259
utensil	0.0612749
"burial site"	0.0612557
"body part"	0.0611697
"precious metal"	0.0609875
carpet	0.0609016
decoration	0.0608241
poetry	0.0607305
bird	0.0606511
tape	0.0606285
evidence	0.0602318
ammunition	0.0600838
trophy	0.0600465
cache	0.0599672
explosive	0.0599179
lantern	0.0598384
mask	0.0597941
flower	0.0597839
collage	0.0596581
"old master"	0.0596107
"burial ground"	0.0595199
gadget	0.0593158
Shell	0.0593084
metal	0.0592262
ivory	0.0592145
gold	0.0592065
timber	0.0590952
migrant	0.0590491
tile	0.0590274
artist	0.0590096
creature	0.0588955
gun	0.0587259
))
(artifice (desc 4806.17) (sims
scrim	0.0694987
fatalism	0.0672371
realism	0.0639305
opulence	0.0616538
craftsmanship	0.0615348
slickness	0.0614324
sentimentality	0.0571698
unreality	0.0568645
silliness	0.0568119
cleverness	0.0556586
gimmick	0.0555751
deception	0.0543013
politeness	0.0533106
"eminent domain"	0.0530707
gimmickry	0.0519451
ambiguity	0.0518342
contrivance	0.0501175
timelessness	0.0497543
sophistication	0.0495017
artistry	0.0487839
illusion	0.0485941
intimacy	0.0483549
conceit	0.0483244
overstatement	0.0477185
believability	0.0467518
affectation	0.0451787
theatrics	0.0447376
transcendence	0.0443953
modesty	0.0443538
grit	0.0443378
blandishment	0.0441576
orchestration	0.0441427
spontaneity	0.0440156
sameness	0.043794
inventiveness	0.043731
physicality	0.0437184
absurdity	0.0437003
pacing	0.0435755
"inferiority complex"	0.0433899
pretension	0.0432013
permanence	0.0430675
eccentricity	0.0430601
frailty	0.043027
juxtaposition	0.0420592
connectedness	0.0417417
hipness	0.0417028
realpolitik	0.041452
breadth	0.0410398
spirituality	0.041033
fragility	0.0407976
exaggeration	0.0406812
wonderment	0.0406193
craziness	0.0404395
weirdness	0.0403588
cryptography	0.0402979
irony	0.0402957
duplicity	0.0402926
emulation	0.0402909
flair	0.0401852
fakery	0.0401733
simplicity	0.0401691
vitality	0.0401516
))
("artificial heart" (desc 1264.17) (sims
defibrillator	0.166051
pacemaker	0.120754
"mechanical device"	0.119237
defibrillators	0.118552
Norplant	0.107705
"particle accelerator"	0.106699
"electrical device"	0.102594
"hearing aid"	0.100206
stents	0.0932895
SETI	0.0886388
"fuel cell"	0.086072
emulator	0.0791366
phonograph	0.0789595
"computer language"	0.0778341
workfare	0.0776559
microchip	0.0775217
hovercraft	0.0766763
cryptography	0.072954
RU-@@@	0.0722
"silicon chip"	0.0721629
ICBM	0.069444
algorithm	0.0690214
"atom bomb"	0.0661655
mem	0.0657075
"electronic device"	0.0647331
NMD	0.0634705
Powerbook	0.0629189
"computer program"	0.0629144
"teaching method"	0.0625934
prosthesis	0.0622892
identifier	0.061693
"science museum"	0.061538
"Joint Strike Fighter"	0.0613927
GPS	0.0611739
"wonder drug"	0.0610497
Walkman	0.0607961
insulin	0.0607142
rudder	0.0606277
inlet	0.0604266
fingerprinting	0.0600642
solitaire	0.0599681
"Homo erectus"	0.0597918
"catalytic converter"	0.0582764
Projector	0.0580294
"Miller Park"	0.0575812
"application program"	0.0573434
X-@@	0.057305
"space vehicle"	0.0570419
HDTV	0.0569387
Unix	0.0565873
motherboards	0.0561163
"Medal of Honor"	0.0556903
"first hand"	0.0543847
inhaler	0.0542599
"steam engine"	0.0540793
afterburner	0.0538903
penicillin	0.0538547
Alpha	0.0535559
BLUETOOTH	0.0534909
"Palm Pilot"	0.0532301
"power unit"	0.0530259
"international criminal court"	0.0529733
"neutron bomb"	0.0528452
"global positioning system"	0.0528102
"software system"	0.0527848
"Medicare HMO"	0.0527375
TMD	0.0526796
"electric car"	0.0521432
"Microsoft Windows"	0.0519442
"scoring system"	0.0515751
"fighter aircraft"	0.0514528
"spy satellite"	0.0513532
deafness	0.0512493
drainage	0.0511698
paring	0.0511449
self-service	0.0511118
"communications technology"	0.0507823
"communications satellite"	0.0504811
"user interface"	0.0503547
decoding	0.0503225
"Office @@"	0.0502066
leptin	0.0501557
Solaris	0.0500506
DeVille	0.0500275
"extension cord"	0.049994
AK-@@	0.049979
THAAD	0.0499662
"jet engine"	0.0498065
"Playstation @"	0.049793
"hydrogen bomb"	0.0496259
"computer technology"	0.0495308
transponder	0.049492
"four lines"	0.0494721
supercomputer	0.0492964
"hand-held computer"	0.0489374
"computing system"	0.0488889
"African Union"	0.0486232
walkie-talkie	0.0485142
antibody	0.0484448
"traffic signal"	0.0483416
"X-ray machine"	0.0483031
playpen	0.0482675
"memory chip"	0.0481618
"line of products"	0.0481283
"atomic bomb"	0.0481275
"pedestrian bridge"	0.0481134
"bone marrow"	0.0479426
databank	0.0479072
drawdown	0.0479016
stethoscope	0.0478936
endoscope	0.047831
"UNIX operating system"	0.0477818
flapper	0.0476907
"portable computer"	0.0475879
"cellular telephone"	0.047544
"electronic database"	0.0475328
Ethernet	0.0474413
handset	0.0473278
"Delta @"	0.0471201
"intercontinental ballistic missile"	0.0471041
ketamine	0.0469931
synthesizer	0.046987
Alero	0.0469566
abacus	0.0469505
gizmo	0.0468455
impala	0.0467152
"endowment fund"	0.0466779
"weapons system"	0.0465093
chancellery	0.0464623
infirmary	0.0463877
"radio transmitter"	0.0463668
"Palm VII"	0.0463572
DOS	0.0463319
transplantation	0.0463247
interferon	0.0462418
ultrasound	0.0462124
"fortune cookie"	0.0461915
osprey	0.0461689
"Pennsylvania Station"	0.0460652
amplification	0.04576
"earth science"	0.045748
Braille	0.0456968
fiefdom	0.0453744
Microelectronics	0.0452504
carnivore	0.0451552
detoxification	0.0449925
"electric chair"	0.0449692
"Joe Camel"	0.0449234
injector	0.0449171
"bowling ball"	0.0448123
simulator	0.0447062
E-Stamp	0.0446489
SDH	0.0446249
"electronic communication"	0.0445776
amnesia	0.0444928
gnome	0.0442231
"artificial intelligence"	0.0441195
talkie	0.0441091
Encryption	0.0438928
contraceptive	0.0438804
"Mac OS"	0.0438712
"programming language"	0.0437387
minicomputer	0.0436456
"Windows CE"	0.0435261
lifesaving	0.0434209
"word processor"	0.0434065
epilepsy	0.0433093
"National Missile Defense"	0.0432735
MS-DOS	0.0432506
transistor	0.0430544
"access road"	0.0430207
"electric shock"	0.0430058
XML	0.042926
"blood cell"	0.0427822
handheld	0.0426474
GSP	0.0425604
Moby-Dick	0.0424121
"voting system"	0.0423034
stent	0.0422094
C-@@	0.042199
gyroscope	0.0421955
"ventilation system"	0.042116
abrogation	0.0419592
"exhaust system"	0.0418844
"Office @@@@"	0.0418182
catheter	0.0417372
Estimations	0.0417048
acupuncture	0.0416092
incubator	0.0416019
easement	0.0415661
buybacks	0.0415406
"atomic energy"	0.0415152
nevirapine	0.0414875
refrigeration	0.0414562
morphine	0.0413986
"weapon system"	0.0413416
microcomputer	0.0412206
videophone	0.0411962
implantation	0.041174
collaborative	0.0411658
))
("artificial insemination" (desc 3732.19) (sims
"caesarean section"	0.105124
fertilization	0.103768
implantation	0.088907
angioplasty	0.078717
"magnetic resonance imaging"	0.0783397
vasectomy	0.0776491
telemedicine	0.0757304
mammography	0.0685391
"genetic engineering"	0.0683825
C-section	0.0665106
detoxification	0.0658644
sterilization	0.0649409
cloning	0.0620343
circumcision	0.0607756
transfusion	0.0604412
videophone	0.0594957
decontamination	0.0585528
psychotherapy	0.0576546
"blood transfusion"	0.057212
dialysis	0.0564954
acupuncture	0.0561226
filtering	0.0558582
fingerprinting	0.0556445
Inoculation	0.0544834
transplantation	0.0532571
emulation	0.0532391
"test tube"	0.0531646
fermentation	0.0530309
compression	0.0529243
"Holy Spirit"	0.052697
Caesarean	0.0521913
imaging	0.0520019
sensing	0.0517929
triangulation	0.050259
ibuprofen	0.050052
liposuction	0.0491987
ultrasound	0.0491544
dollarization	0.048719
interferon	0.0487175
lifesaving	0.0484641
"about @.@ billion US dollars"	0.0484158
propagation	0.047801
thalidomide	0.0477505
augmentation	0.0476533
Burnout	0.047533
"birth control"	0.046847
detection	0.0465096
phonics	0.0462442
hypnosis	0.0462236
Contraception	0.0460454
"medical check-up"	0.0458857
drilling	0.0450968
CAD	0.045081
"eminent domain"	0.0450391
chemotherapy	0.0449889
"medical examination"	0.0448811
"cosmetic surgery"	0.0443964
"tax avoidance"	0.044219
ADSL	0.0440032
pollination	0.0438823
SIDS	0.0437876
"soil conservation"	0.0435537
pruning	0.0435106
weight-loss	0.0434656
"family planning"	0.0432997
ketamine	0.0430098
adenovirus	0.0430054
calibration	0.0425843
fertility	0.0420575
nationalization	0.0418026
abatement	0.0417324
nanotechnology	0.0417292
triage	0.0417102
MRI	0.0416485
"growth hormone"	0.0416332
STDs	0.0416089
"shock therapy"	0.0412404
mastectomy	0.0412338
stayaway	0.0412232
RICO	0.0410612
tracing	0.0410428
telephony	0.0409412
LASIK	0.0409105
"stock buyback"	0.040694
"germ warfare"	0.0406328
"blood test"	0.0406127
"molecular biology"	0.0400231
))
("artificial intelligence" (desc 4625.44) (sims
nanotechnology	0.150464
genetics	0.123429
imaging	0.121016
robotics	0.11636
Immunology	0.115567
biotechnology	0.115109
filtering	0.113913
"genetic engineering"	0.113644
automation	0.112378
"life science"	0.111719
"social science"	0.110584
"molecular biology"	0.10902
genomics	0.107384
"medical science"	0.105532
bioengineering	0.103954
Microelectronics	0.102887
"computer technology"	0.10215
"atomic energy"	0.100849
"computer science"	0.0998872
"computer graphics"	0.0985458
microbiology	0.0984192
"environmental science"	0.0963453
Encryption	0.0961027
engineering	0.0946376
"computer application"	0.0927416
computing	0.0915754
"electrical engineering"	0.0915433
"communications technology"	0.090075
mathematics	0.0890045
agronomy	0.0888768
zoology	0.0885208
cryptography	0.0878395
biochemistry	0.0864708
physics	0.0862418
neuroscience	0.0861913
biology	0.0843103
nuclear-weapons	0.0842096
pharmacology	0.0831176
telephony	0.0828154
networking	0.0824929
SETI	0.0811068
forensics	0.0801462
emulation	0.0793559
astronomy	0.078855
optic	0.0774522
multimedia	0.0771454
anthropology	0.0771026
sensing	0.0769227
"information technology"	0.0758149
CAD	0.0756688
"civil engineering"	0.0754552
"inventory control"	0.0745026
telemedicine	0.0742303
"weather forecasting"	0.0740855
"information system"	0.0738463
"biological science"	0.0735459
aeronautics	0.0727697
"comparative literature"	0.0726571
e-business	0.0722998
aerodynamics	0.0720928
videophone	0.0720623
algorithm	0.0719713
"mechanical engineering"	0.0716267
"preventive medicine"	0.0715505
archaeology	0.0713979
pathology	0.0711745
intranet	0.0709795
"information science"	0.0708444
paleontology	0.0707683
geophysics	0.0707422
"chemical engineering"	0.0706805
modeling	0.0703592
animation	0.0702628
astrophysics	0.0701707
"germ warfare"	0.07012
psychology	0.0693984
meteorology	0.0693741
TMD	0.0692723
"information gathering"	0.0691889
visualization	0.0689175
Botany	0.0688354
"data processing"	0.0688183
compression	0.0686227
simulation	0.0683193
"biological warfare"	0.0681228
"computer programming"	0.0681051
"natural science"	0.0675311
CDMA	0.0674211
seismology	0.0674179
"high technology"	0.0669869
supercomputers	0.0665653
"nuclear energy"	0.0663916
avionics	0.0660588
geology	0.0658305
ophthalmology	0.0649899
ecology	0.0645809
"nuclear physics"	0.0645515
nursing	0.0635379
sociology	0.0629655
physiology	0.0626792
aerospace	0.0626562
epidemiology	0.0623626
broadband	0.0615992
"Windows Media Player"	0.0615973
"urban planning"	0.0615083
entrepreneurship	0.0610855
detection	0.0610713
ADSL	0.0607322
fertilization	0.0604612
electronics	0.0604184
"Microsoft Windows"	0.0604136
neurobiology	0.060324
"alternative medicine"	0.0600699
"fiber optics"	0.0600039
"product development"	0.0599129
"fire control"	0.0597689
"number crunching"	0.0597354
scanner	0.0591788
"particle physics"	0.0589283
state-of-the-art	0.0586425
transplantation	0.0584539
neurology	0.0584431
PowerPoint	0.0583278
"wireless telephone"	0.0583199
spreadsheet	0.058214
Chemistry	0.0580736
"electronic mail"	0.0579927
"electronic warfare"	0.057867
"data communication"	0.057775
"radio frequency"	0.0577305
aviation	0.0577198
GPS	0.057094
"computer language"	0.0569907
oncology	0.0568715
emulator	0.0565112
fingerprinting	0.0563263
angiogenesis	0.0562924
"word processing"	0.0559747
mapping	0.0556277
retrieval	0.0556064
"family planning"	0.0555707
laser	0.0553347
supercomputer	0.0552464
"scientific method"	0.0550617
Geron	0.0550249
Photoshop	0.0550024
genealogy	0.0547047
archeology	0.0546541
"UNIX operating system"	0.054626
"moral hazard"	0.0546173
horticulture	0.054545
editing	0.0542027
Gaming	0.05407
microprocessor	0.0540359
linguistics	0.0536905
propulsion	0.0536839
personalization	0.0535975
psychotherapy	0.0535739
"chemical warfare"	0.0534488
eugenics	0.0533999
metallurgy	0.0533805
"political science"	0.0531255
RSA	0.0531138
ultrasound	0.0530572
pharmaceutical	0.0528714
"elementary education"	0.0525354
forecasting	0.0524777
"earth science"	0.0524605
nutrition	0.0524572
healthcare	0.0523426
forestry	0.0523298
criminology	0.0521749
"special effect"	0.0521394
XML	0.0520248
refining	0.0519703
"mass transit"	0.0518889
radiology	0.0518701
Internet@	0.0518117
weaponry	0.0517787
semiconductor	0.0517505
theology	0.0517275
"higher education"	0.0515848
oceanography	0.0515793
"magnetic resonance imaging"	0.05142
"spy satellite"	0.0513911
"applied science"	0.051336
identifier	0.0513117
joystick	0.0512895
Quicktime	0.0512856
"atom bomb"	0.0511848
"fine arts"	0.0511321
SDH	0.0510661
sonar	0.0510624
"veterinary medicine"	0.050796
MGH	0.0507759
interactivity	0.0507007
"hand-held computer"	0.0506969
"mainframe computer"	0.0503618
"infectious disease"	0.0502393
"physical therapy"	0.0502126
))
(artificiality (desc 1037.91) (sims
ordinariness	0.102352
strangeness	0.0882749
exigency	0.0837255
skewering	0.0822593
fragility	0.0808914
accoutrement	0.0794162
synopses	0.0734315
fullness	0.0726054
absurdity	0.0697174
monotony	0.0696388
"blind spot"	0.0685552
juxtaposition	0.0679664
sonority	0.0676093
verisimilitude	0.0675245
"subject area"	0.0670564
"eighth year"	0.0655527
edginess	0.0623928
militarization	0.060993
earthiness	0.0606389
"nook and cranny"	0.060022
physicality	0.0596069
believability	0.059248
finds	0.0588394
originator	0.0580292
emptiness	0.0577656
co-writer	0.0561987
confluence	0.0554263
"market penetration"	0.0551472
centrality	0.0544156
barbarity	0.0543149
profundity	0.0541671
snobbery	0.0539521
fakery	0.0523464
fief	0.0521383
drudgery	0.0517619
thinness	0.0517139
bigness	0.0517106
magnificence	0.0516037
politicization	0.0514408
"first three days"	0.0507574
dramatization	0.0502197
specificity	0.0500664
"first years"	0.0497055
shallowness	0.0495206
slickness	0.0494986
"practical application"	0.0489894
policing	0.0489736
"order book"	0.0489227
banality	0.0483794
suddenness	0.0483342
awkwardness	0.0482449
remaking	0.048057
"sense of balance"	0.0478318
"atom bomb"	0.0474178
"first reading"	0.0472642
writer-director	0.0472422
idiosyncrasy	0.0470579
"tax advantage"	0.0468362
"Camryn Manheim"	0.0468345
soundness	0.0464541
"first five years"	0.0462983
contour	0.0462564
hath	0.0461841
predictability	0.0461839
silliness	0.0461239
"circulatory system"	0.0460429
enchantment	0.0459022
idyll	0.0457156
committment	0.0456409
underbelly	0.0455943
"first @@ years"	0.045492
fragmentation	0.0454421
Kansan	0.045398
plumage	0.0452961
updating	0.0451857
lode	0.0449993
"natural state"	0.0449499
"offer price"	0.0448542
cohesiveness	0.0447572
"golden rule"	0.0446232
boosterism	0.044369
iconography	0.0442932
unpredictability	0.0441967
"language barrier"	0.0441758
"piece of work"	0.0441416
newness	0.0437853
rip-off	0.0437817
"purchase contract"	0.0435048
"ivory tower"	0.0433168
"first four days"	0.0432117
particularity	0.0428779
idiocy	0.0428098
rapidity	0.042412
crispness	0.0423784
uncovering	0.0423091
bleakness	0.0422916
radiance	0.0422188
"civic duty"	0.0422142
"eighth day"	0.0421333
oversimplification	0.0421318
"emotional state"	0.0419084
incongruity	0.0419
lactose	0.0418443
falsity	0.041705
conundrum	0.0416999
"dust jacket"	0.0416197
protectorate	0.041617
commercialism	0.041565
uniqueness	0.0413973
cellulose	0.0413872
"first points"	0.0413576
tedium	0.0410513
potentiality	0.0410491
abhorrence	0.0407122
"district line"	0.0407016
chimera	0.0406627
reverberation	0.0403782
"fantasy world"	0.0403412
"last two digits"	0.0400739
))
(artillery (desc 30042.5) (sims
mortar	0.257351
"artillery fire"	0.245166
"mortar fire"	0.204615
"machine gun"	0.202584
howitzer	0.201984
gunship	0.189921
missile	0.182039
Grenade	0.181476
"rocket launcher"	0.175354
warplanes	0.173632
cannon	0.170259
launcher	0.167657
"heavy weapon"	0.16726
"artillery unit"	0.166004
"surface-to-air missile"	0.164473
infantry	0.164308
tank	0.162068
"air defense"	0.157487
shelling	0.155771
rocket	0.153799
"personnel carrier"	0.148946
machine-guns	0.14227
gunfire	0.140945
armor	0.134795
"army tank"	0.133316
"automatic rifle"	0.130858
gunboat	0.128717
rifle	0.128715
bomb	0.127141
"hand grenade"	0.12705
helicopter	0.127008
ammunition	0.126161
weaponry	0.126084
gunner	0.119357
troop	0.119252
bombardment	0.118141
machineguns	0.117854
weapon	0.114406
"military vehicle"	0.114316
"tear gas"	0.113196
warship	0.111654
sniper	0.111509
gun	0.109576
"air raid"	0.109497
bomber	0.108535
Shell	0.104126
aircraft	0.102749
munition	0.102473
radar	0.0982264
fighter-bombers	0.0967165
"cluster bomb"	0.0956968
"patrol boat"	0.0946338
fighter	0.0943205
"air-to-surface missile"	0.0938335
projectile	0.0926772
guerrilla	0.0919426
torpedo	0.0885018
"fighter aircraft"	0.0871477
"Air Force"	0.0867675
commando	0.0861165
explosive	0.0860488
ordnance	0.0857979
"land mine"	0.0856936
bullet	0.0854705
"ballistic missile"	0.0853747
army	0.0841014
soldier	0.0830243
"air attack"	0.082952
paratrooper	0.0828618
barrage	0.0817553
offensive	0.0811424
"air power"	0.0800913
armament	0.0795549
warplane	0.0794908
plane	0.0791441
"submachine gun"	0.079097
jet	0.0771265
firepower	0.0769192
rebel	0.0768803
cavalry	0.0763589
"attack aircraft"	0.0757061
"security force"	0.0755832
submarine	0.0754534
airstrikes	0.0747222
"water cannon"	0.0745381
militiamen	0.0742821
"military force"	0.0740126
battalion	0.0732833
militant	0.0731219
ambush	0.0728178
gunshot	0.0727729
militia	0.0727465
battery	0.0726895
"explosive device"	0.0722175
"military unit"	0.0719369
M-@@	0.0716988
"landing craft"	0.071508
Hezbollah	0.0713047
"surface ship"	0.0712629
"air-to-air missile"	0.07123
"car bomb"	0.0711732
machete	0.0709009
pistol	0.0705577
reinforcement	0.0705265
shotgun	0.0698435
"booby trap"	0.0692848
firing	0.0688689
"nuclear weapon"	0.0688338
bombing	0.068752
"command post"	0.0687236
aerial	0.0684604
SLA	0.0677397
vehicle	0.0672269
firebomb	0.0671892
convoy	0.0669084
"spy satellite"	0.0667805
"poison gas"	0.06673
"military police"	0.066723
raid	0.0661199
explosion	0.0659205
destroyer	0.0656905
bulldozer	0.0656237
reconnaissance	0.0656072
frigate	0.0655413
warhead	0.0655096
Brigade	0.0654281
patrol	0.0653437
interceptor	0.0650713
materiel	0.0645057
U.S.-British	0.064202
F-@@	0.0638299
peacekeeper	0.0636057
IDF	0.0629921
tanker	0.0629182
"guided missile"	0.0623916
combat	0.0623653
marine	0.0621
navy	0.0617919
shrapnel	0.0617874
parachute	0.0617499
MiG-@@s	0.0614758
assault	0.0612307
paratroops	0.0609032
equipment	0.0607675
speedboat	0.0607254
"National Guard"	0.0605677
servicemen	0.0604816
revolver	0.0604603
AK-@@	0.060296
police	0.060255
Tomahawk	0.0601981
policemen	0.0601887
B-@@	0.0597919
unit	0.0596249
counterattack	0.0595406
UPDF	0.0594588
MiG-@@	0.0594572
airplane	0.0588274
jeep	0.0586949
"nuclear warhead"	0.0585699
airforce	0.0585206
ICBM	0.0584405
vessel	0.0584184
"pipe bomb"	0.058306
warfare	0.058202
"naval forces"	0.0581978
"Yugoslav Army"	0.0579317
airfield	0.0577715
military	0.057532
KFOR	0.0573052
truck	0.0569912
"military personnel"	0.0567381
gunmen	0.0567123
firearm	0.0566818
"military position"	0.0565799
"observation post"	0.0565559
fighting	0.0565418
personnel	0.0564187
"South Lebanon Army"	0.0561718
terrorist	0.0556164
laser	0.0555722
Apaches	0.0555583
troops	0.0554813
"fire engine"	0.0552565
mine	0.0552319
"aircraft carrier"	0.0548552
blast	0.0548407
"ground attack"	0.0547448
NATO	0.0547158
mudslide	0.0543006
"weapons system"	0.0542427
"communications equipment"	0.0542312
F-@@s	0.0542296
mercenary	0.054143
canister	0.054009
incursion	0.0534507
Regiment	0.052913
"armed forces"	0.0528967
Serbs	0.0527854
Ambulance	0.052433
))
("artillery fire" (desc 7694.47) (sims
artillery	0.245166
"mortar fire"	0.226811
shelling	0.201746
gunfire	0.174552
mortar	0.138737
bombardment	0.119394
"ground attack"	0.108252
barrage	0.104567
gunshot	0.0958926
"air raid"	0.0952084
"heavy weapon"	0.0917639
gunship	0.0909704
"machine gun"	0.0907227
firing	0.0882836
Grenade	0.0871509
"artillery unit"	0.0870821
howitzer	0.0841685
missile	0.080885
firefights	0.0804369
"air attack"	0.07785
gunner	0.077192
"rocket launcher"	0.0754425
warplanes	0.075172
infiltrator	0.073859
de-escalation	0.0680935
"personnel carrier"	0.0656478
"hand grenade"	0.0648117
counterattack	0.0647988
"tear gas"	0.0643453
machineguns	0.0637264
gunbattles	0.063493
shrapnel	0.0634132
"surface-to-air missile"	0.0622246
pleasantry	0.062201
airstrikes	0.0619029
cannon	0.0612958
"cluster bomb"	0.0611767
incursion	0.0609464
projectile	0.0607549
thunder	0.0604462
"air defense"	0.0595707
"price cutting"	0.059563
machine-guns	0.0594018
"air power"	0.0578397
armor	0.0577283
sniper	0.0570723
flak	0.0570102
"military vehicle"	0.0562483
barb	0.0558462
detonation	0.054846
reprisal	0.0544757
salvo	0.0543801
rioting	0.0541159
"army tank"	0.0538466
casualty	0.0537955
"Line of Control"	0.0529195
skirmish	0.0527699
ambush	0.0527376
"observation post"	0.0525331
"supply line"	0.0525295
downpour	0.0523483
airstrike	0.0521239
bullet	0.05181
mudslide	0.0517541
gale	0.0515583
bomber	0.0509722
launcher	0.0504768
looting	0.0504515
onslaught	0.0503432
"bomb blast"	0.048686
"military position"	0.0486161
gunboat	0.0485089
twister	0.0474157
"military action"	0.0473982
recrimination	0.0473767
buildup	0.0473685
"pedestrian bridge"	0.0473639
volley	0.0473376
blizzard	0.0473279
"fighter aircraft"	0.0467176
infantry	0.0462975
fife	0.0462842
"flash flood"	0.0462774
heckling	0.0461278
Babs	0.0461027
"power failure"	0.046042
sandstorm	0.0459823
"military installation"	0.0458439
gunbattle	0.0457866
firepower	0.0457832
build-up	0.0455206
"sonic boom"	0.0453478
crossfire	0.0453363
emplacement	0.0450943
rainstorm	0.0450389
windstorm	0.0449513
firefight	0.0447727
Rains	0.0446723
minder	0.0444248
siege	0.0443335
"military force"	0.0442572
"rain shower"	0.0441645
"margin call"	0.0437524
rioter	0.0435584
snowstorm	0.0434811
lightning	0.0434223
"car bomb"	0.0433182
reinforcement	0.0431353
tremor	0.0431027
"heat wave"	0.0430873
arson	0.0429809
Thunderstorm	0.0429789
soliders	0.042505
squall	0.0424223
Snowfall	0.0423332
"air-to-surface missile"	0.0423042
"land mine"	0.042261
gibe	0.0422469
fisticuffs	0.0419748
ammunition	0.0419293
pounding	0.0419199
burnings	0.0419
"church bell"	0.0418874
tornado	0.0418572
"military campaign"	0.0415922
"small talk"	0.0415657
"military headquarters"	0.0415235
firebomb	0.0410362
temblor	0.040723
cyclone	0.0405278
"ground stroke"	0.0403197
intimidation	0.0403079
"military post"	0.0402195
unrest	0.0401335
"military unit"	0.0400022
))
("artillery unit" (desc 1600.13) (sims
artillery	0.166004
howitzer	0.132904
gunship	0.128143
infantry	0.127535
"personnel carrier"	0.119502
"military vehicle"	0.118854
gunner	0.112917
Brigade	0.108398
"army tank"	0.106845
"battle group"	0.106719
"rocket launcher"	0.0992497
warplanes	0.0981058
"patrol boat"	0.0969766
Regiment	0.0952452
gunboat	0.0934545
"fighter aircraft"	0.0933286
armor	0.0912009
"Air National Guard"	0.0910981
battalion	0.0895391
"artillery fire"	0.0870821
launcher	0.0857957
squadron	0.0853573
paratrooper	0.0834306
warplane	0.0809822
"surface-to-air missile"	0.0788332
warship	0.0786982
"fire truck"	0.0778955
"air defense"	0.0766023
"military unit"	0.0764938
paratroops	0.0764882
Humvees	0.0761966
fighter-bombers	0.0754508
ICBM	0.0750964
cannon	0.073061
Rains	0.0724054
weaponry	0.072255
"landing craft"	0.0711052
"mortar fire"	0.0707678
"surface ship"	0.0706124
"fire engine"	0.0695884
"National Guard"	0.0694471
frigate	0.0693973
"police car"	0.0685697
"weapons system"	0.0676702
"military police"	0.0676586
"field hospital"	0.0676125
reservist	0.0658536
submariner	0.0658309
emplacement	0.0656371
IDF	0.0654796
"torpedo boat"	0.0651944
"booster rocket"	0.0651127
"Air Force Reserve"	0.0649446
"communications equipment"	0.0648321
reinforcement	0.0639464
"weapon system"	0.0622769
"communication system"	0.0617139
mortar	0.0611002
T-@@	0.0607744
"Yugoslav Army"	0.0607604
weighting	0.0603537
airforce	0.0599673
cavalry	0.0596169
C-@@@	0.0591965
"police dog"	0.0582567
Gendarme	0.0581897
machineguns	0.057971
"patrol ship"	0.0577295
SA-@	0.0576171
"enlisted man"	0.0575181
commando	0.0572874
"command post"	0.0572583
infantryman	0.0572259
"American plane"	0.0571549
interceptor	0.0569855
machine-guns	0.0569619
semitrailer	0.0564431
S-@@@	0.0552944
munition	0.0551314
"naval forces"	0.0549982
"fire fighter"	0.0548536
bloodhound	0.0547895
frogmen	0.054653
bulldozer	0.0541379
Humvee	0.0539845
Venables	0.0538393
frontlines	0.0537744
cortege	0.0535146
"heavy weapon"	0.0533647
UPDF	0.0529186
ornithologist	0.0526817
Babs	0.0526529
"regular army"	0.0525784
"firing range"	0.0523503
"attack submarine"	0.051695
sentry	0.0515157
medic	0.0514938
"communications satellite"	0.051396
armymen	0.0513205
troops	0.0512826
sniper	0.0509332
"oxygen mask"	0.0508874
"rain shower"	0.0508815
"patrol car"	0.0505578
infantrymen	0.0502418
"Israeli Defense Forces"	0.0500506
"Islamic Revolution Guards Corps"	0.0500321
armistice	0.0494962
chopper	0.0494768
"armed service"	0.0493885
"cargo vessel"	0.049358
"National Guardsmen"	0.0492005
reconnaissance	0.0488901
"solar panel"	0.0485482
mini-vans	0.048357
rickshaw	0.0481271
"water tank"	0.0480187
"Marine Corps"	0.0478704
"staff sergeant"	0.047797
flak	0.0477122
projectile	0.0475341
"military installation"	0.0475247
Prowler	0.047049
Interahamwe	0.0470297
hostage-takers	0.0468898
Apaches	0.0456216
"rescue equipment"	0.0455715
harvesting	0.0453542
mutineer	0.045352
soliders	0.0452825
Zapatistas	0.0450926
dinghy	0.0448994
solder	0.0448358
flotilla	0.0446491
"air-to-air missile"	0.0445054
"Revolutionary Guards"	0.0444888
"military post"	0.0444827
Difrancesco	0.0442546
"Bafana Bafana"	0.0438375
endoscope	0.0438175
ex-combatants	0.0438129
excavator	0.0437876
gigabyte	0.043774
MiG-@@s	0.0437608
reverser	0.0437011
platoon	0.043672
"CBS Corp."	0.0435412
"lieutenant general"	0.0434596
Buggy	0.0434329
"defense system"	0.043249
UNIFIL	0.0430971
outbuilding	0.0429705
"intelligence operation"	0.0429288
commodore	0.0428919
heatwave	0.0428069
"honor guard"	0.042776
pivotals	0.0427719
"communication network"	0.0426693
"International Brotherhood of Electrical Workers"	0.0426685
"small boat"	0.0425006
"Infantry Division"	0.0421234
enlistee	0.0420955
"brigadier general"	0.0420677
"merchant marine"	0.0419523
"Audi A@"	0.0416912
compressor	0.04156
"nuclear warhead"	0.0415084
"lieutenant colonel"	0.0413417
Apache	0.0411878
deserter	0.0409713
"military academy"	0.0409679
"Republican Guard"	0.0408605
"Jamie Feick"	0.0408576
"water pump"	0.0406799
guerilla	0.0406375
rafts	0.0405757
commandant	0.0405281
ensign	0.04047
Georges	0.0404567
KPN	0.0402259
camisole	0.0400842
cartographer	0.04008
"squad car"	0.0400666
corporal	0.0400641
"oil slick"	0.0400488
"air-to-surface missile"	0.0400342
warthog	0.0400108
))
(artisan (desc 12718.4) (sims
craftsmen	0.152949
sculptor	0.100803
animators	0.091242
artist	0.0877247
technician	0.0870163
calligrapher	0.0858762
entrepreneur	0.0789265
painter	0.0781978
craftspeople	0.0762684
musician	0.0738648
laborer	0.0731916
professional	0.0712485
merchant	0.069312
blacksmith	0.0684173
businesspeople	0.0668256
educator	0.0665668
miner	0.0655583
restaurateur	0.0655056
Industrialist	0.0651312
"Broadway Books"	0.0649363
farmer	0.0647032
potter	0.0646101
designer	0.0646011
cabinetmaker	0.0645117
Programmer	0.0644939
scientist	0.0641536
"business executive"	0.0639323
seamen	0.0632804
engineer	0.0632754
shopkeeper	0.0629734
businessmen	0.0623224
plumber	0.0611323
Fishermen	0.0610325
trader	0.0608122
"computer expert"	0.060461
peasant	0.0604212
filmmakers	0.0602568
chef	0.0601439
"day laborer"	0.060126
gardener	0.0594454
scholar	0.0589421
schoolchildren	0.0586988
preservationists	0.0583761
angler	0.0582524
"William Morrow"	0.0582368
"university student"	0.0581675
surveyor	0.0581242
craftsman	0.0577501
carver	0.0576176
dramatist	0.0573004
logger	0.0572116
carpenter	0.0571412
winemaker	0.0564552
herdsmen	0.0563919
"factory worker"	0.0563126
architect	0.0561928
firemen	0.0561441
"graphic artist"	0.0560798
poet	0.0558922
agronomist	0.0557414
"farm worker"	0.055701
"real estate agent"	0.0555726
"art historian"	0.0554634
"skilled worker"	0.055277
vintner	0.0551262
seamstress	0.0549182
pensioner	0.0546827
mathematician	0.0546472
housewife	0.0546365
builder	0.0545904
practitioner	0.0544267
Iowan	0.0542808
"computer programmer"	0.0541556
landowner	0.0537587
collector	0.0537103
fencer	0.0533251
choreographer	0.0528658
"college student"	0.0528206
homeowner	0.0526766
troubadour	0.0526363
composer	0.0525833
performer	0.0525054
photographer	0.0524812
illustrator	0.0524332
"business leader"	0.0523785
migrant	0.0523505
techies	0.0522807
expatriate	0.0522652
"government officials"	0.0520822
philanthropist	0.0518439
archaeologist	0.0518019
archeologist	0.0517941
cadre	0.0517782
fisherman	0.0516355
"civil servant"	0.0516126
chemist	0.0515742
moviemakers	0.0515705
caterer	0.0514587
"travel agent"	0.0514413
acrobat	0.0513769
conservationist	0.0513613
seafarer	0.0511915
exhibitor	0.0511526
thinker	0.0510783
electrician	0.0510539
Playwright	0.0510151
vendor	0.0509807
"music lover"	0.0509355
banker	0.0508887
"interior designer"	0.0508726
storyteller	0.0508168
sportsmen	0.0507799
Miramax	0.0507317
veterinarian	0.0504504
adventurer	0.0503339
missionary	0.0503274
bricklayer	0.0502971
academic	0.0502182
"health professional"	0.050125
optometrist	0.0497257
paddler	0.0497112
"economic expert"	0.0496203
HarperCollins	0.0494937
salespeople	0.049299
philosopher	0.0492891
townspeople	0.049085
"Simon &AMP; Schuster"	0.049064
entertainer	0.0490393
mechanic	0.0489375
intellectual	0.0487523
"disc jockey"	0.048728
inventor	0.0486057
grower	0.0485906
shipper	0.0485633
"jazz musician"	0.048376
"Warner Books"	0.048321
instrumentalist	0.0482713
diver	0.048183
statesmen	0.0481381
astronomer	0.0481005
developer	0.0480633
"legal expert"	0.0479685
hotelier	0.0479622
urbanites	0.0479313
"publishing house"	0.047727
monk	0.0476762
"job seeker"	0.0476607
"software engineer"	0.0475336
firefighters	0.0475175
enthusiast	0.0472794
dancer	0.0472639
skydiver	0.0471842
songwriter	0.0471754
"fashion designer"	0.0471418
vegan	0.0471277
triathletes	0.0470315
fire-fighter	0.0466915
"Sri Lankans"	0.0463773
"small farmer"	0.0463713
contractor	0.046122
florist	0.0459504
handicraft	0.0458036
hacker	0.0456482
villager	0.0456372
historian	0.0455077
puppeteer	0.0454386
sailor	0.0454198
novelist	0.0454168
Atlantans	0.0453744
planter	0.0453034
forester	0.04525
Cuban-Americans	0.0452142
Hunter	0.0452073
accountant	0.0451064
Knopf	0.0450259
steelworker	0.0448084
mountaineer	0.0447653
stylist	0.0445839
"real estate developer"	0.0444609
geologist	0.0443826
"stamp collector"	0.0443704
deejays	0.0443002
stockbroker	0.0442949
"film producer"	0.0441556
"venture capitalist"	0.0440494
cattlemen	0.0440466
nonprofits	0.0438812
nomad	0.0438493
"truck driver"	0.0438142
surgeon	0.0437435
filmmaker	0.0437385
"folk art"	0.0437337
telecommuters	0.0437332
rancher	0.0436883
jurist	0.0436099
lifeguard	0.0435523
physicist	0.0435486
"public servant"	0.0435479
centenarian	0.0434624
"temporary worker"	0.0433634
))
(artist (desc 163168) (sims
musician	0.225931
painter	0.219213
writer	0.188371
composer	0.181547
performer	0.180482
singer	0.170033
designer	0.163064
poet	0.162036
actor	0.155426
sculptor	0.144096
author	0.14212
filmmakers	0.139887
scholar	0.137998
athlete	0.13608
scientist	0.134956
journalist	0.134453
choreographer	0.134076
dancer	0.132466
politician	0.130475
entrepreneur	0.130397
photographer	0.129698
architect	0.129215
entertainer	0.127912
actress	0.125402
professional	0.124697
Playwright	0.122973
teacher	0.120973
novelist	0.120198
filmmaker	0.120041
songwriter	0.117835
student	0.116579
pianist	0.116399
art	0.116339
historian	0.116245
people	0.115392
woman	0.115052
band	0.11383
educator	0.112502
player	0.112454
music	0.109874
doctor	0.109481
collector	0.109042
celebrity	0.108979
academic	0.108664
man	0.107646
chef	0.106305
thinker	0.104739
intellectual	0.104697
star	0.103875
comedian	0.103018
producer	0.101397
farmer	0.101227
businessmen	0.100941
conductor	0.100141
Programmer	0.0993863
engineer	0.0992917
worker	0.0978313
activist	0.0977186
expert	0.0977141
citizen	0.0971934
fan	0.0971234
painting	0.0971139
kid	0.0971126
album	0.0969651
philosopher	0.0969414
technician	0.0968394
vocalist	0.096382
film	0.0962847
folk	0.0958392
person	0.0956944
individual	0.0956057
character	0.0954626
master	0.0954093
cartoonist	0.0952417
Song	0.0943246
researcher	0.0942583
company	0.0940302
craftsmen	0.0939496
Reader	0.0938212
businessman	0.0934865
American	0.0929064
executive	0.0924071
hero	0.0923569
troupe	0.0918622
parent	0.0917905
child	0.0917225
developer	0.0914528
youngster	0.0910378
group	0.0906142
member	0.0903017
physician	0.0899821
investor	0.0899317
lawyer	0.0896922
director	0.0896619
banker	0.0894789
family	0.0894486
"college student"	0.089222
owner	0.0890485
critic	0.0889714
golfer	0.0885157
teen-ager	0.0881941
"movie star"	0.0881551
employee	0.0880949
mathematician	0.0879038
artisan	0.0877247
girl	0.0875653
guy	0.0874239
immigrant	0.0869632
audience	0.0867951
veteran	0.0866095
culture	0.0865533
listener	0.0864994
Chinese	0.0863216
"business leader"	0.08608
physicist	0.0859753
someone	0.0854525
movie	0.0852528
"young man"	0.0852297
manager	0.0852112
publisher	0.0849189
stylist	0.0847718
illustrator	0.0845905
"jazz musician"	0.0843966
friend	0.0842531
leader	0.0842163
statesmen	0.0838757
inventor	0.0836963
youth	0.0834213
volunteer	0.0832595
"fashion designer"	0.0829965
Industrialist	0.0828655
resident	0.0828611
merchant	0.0824945
work	0.0824409
reporter	0.0823455
storyteller	0.0823236
lover	0.0822154
consumer	0.0821722
trader	0.0821123
dealer	0.0819178
professor	0.08188
rapper	0.0817442
Picasso	0.081699
mother	0.0814175
visitor	0.0812651
Jew	0.0812259
client	0.0810679
"business executive"	0.0807833
violinist	0.080708
viewer	0.0805861
manufacturer	0.0799839
consultant	0.0798967
talent	0.079779
those	0.0797772
participant	0.0797458
screenwriter	0.0797366
figure	0.0796572
guest	0.0794402
organization	0.0792696
opera	0.0789002
style	0.0788803
boy	0.0788708
businesspeople	0.0788405
father	0.078822
psychologist	0.0788005
institution	0.0787903
"young woman"	0.0787333
tourist	0.0786141
specialist	0.0784383
others	0.0782799
editor	0.0776781
show	0.0776499
firm	0.0775876
guitarist	0.0775785
"political leader"	0.0774396
Hunter	0.0772494
Pioneer	0.0772163
candidate	0.077216
driver	0.0772119
advertiser	0.0772056
legend	0.0771754
monk	0.0771297
diplomat	0.0771134
voter	0.0771093
user	0.0770228
customer	0.0768683
legislator	0.0767568
superstar	0.0766438
curator	0.0765763
retailer	0.07638
lawmaker	0.076303
priest	0.0762699
icon	0.0762204
broadcaster	0.0756778
museum	0.075636
builder	0.0754491
official	0.075423
comic	0.0754147
"rock band"	0.0753513
practitioner	0.0751466
))
(artiste (desc 2588.54) (sims
amis	0.0871743
vin	0.0669293
monde	0.0615314
restorer	0.0585649
lattes	0.0561743
"Beijing Opera"	0.0512797
"game of chance"	0.0485056
hotelier	0.0474674
WHA	0.0459571
sextet	0.0458107
pianist	0.0450026
emcee	0.0447793
instrumentalist	0.0445205
celebs	0.0430721
Bryce	0.0428469
"economic expert"	0.0424851
arts	0.0424248
"folk singer"	0.0420601
warhorse	0.041565
craftsmen	0.0410864
in-jokes	0.0410472
experimenter	0.0409968
"jazz musician"	0.0407037
"period piece"	0.0406369
"traffic cop"	0.0402632
automaton	0.0402509
"leading lady"	0.0402491
wiseguy	0.0401701
legalism	0.0400716
))
(artistry (desc 14706.5) (sims
Creativity	0.114522
craftsmanship	0.107684
virtuosity	0.103038
originality	0.0991387
musicianship	0.0914691
professionalism	0.0912789
skill	0.0912766
beauty	0.0884716
flair	0.0866302
sophistication	0.0857315
elegance	0.085094
talent	0.0847353
charisma	0.0837532
athleticism	0.0834337
style	0.0822052
courage	0.0808161
brilliance	0.0804665
tenacity	0.0802944
ingenuity	0.0794248
wit	0.0771618
agility	0.0770557
richness	0.0768353
intellect	0.0758638
dexterity	0.0753287
stamina	0.075207
musicality	0.0750872
quickness	0.0742852
showmanship	0.0729669
acumen	0.0728202
inventiveness	0.0728041
grace	0.072599
prowess	0.0725766
charm	0.0714678
theatricality	0.0714163
subtlety	0.0707323
humor	0.0701814
precision	0.0696891
immediacy	0.0696224
intelligence	0.0692315
clarity	0.0672378
finesse	0.0670785
versatility	0.0668649
honesty	0.0667807
technique	0.066388
freshness	0.0663735
spontaneity	0.0662365
accomplishment	0.0661869
passion	0.0659974
"sex appeal"	0.0659456
toughness	0.0657127
intensity	0.0656848
perseverance	0.0656531
dedication	0.0654392
composure	0.0649228
ability	0.0645718
excitement	0.0642492
vigor	0.0641235
teamwork	0.0639821
genius	0.0638193
fluidity	0.0636819
vitality	0.0636773
greatness	0.0632652
imagination	0.0630833
simplicity	0.0630756
dynamism	0.0628266
excellence	0.0628257
endurance	0.0627446
personality	0.0625969
magic	0.0623635
audacity	0.0620577
cleverness	0.0616352
eloquence	0.0616113
insight	0.0615174
generosity	0.0614118
mastery	0.0612846
dignity	0.0604331
grandeur	0.0599511
warmth	0.0596536
uniqueness	0.0595419
realism	0.0594532
diversity	0.0593734
lyricism	0.0592362
emotion	0.0592288
vision	0.0590304
improvisation	0.0588489
chutzpah	0.058683
weirdness	0.0586823
verve	0.0584959
determination	0.0584024
sensibility	0.0579933
complexity	0.0578245
strength	0.0576828
explosiveness	0.0576443
boldness	0.0575911
"sense of humor"	0.057517
resilience	0.0570528
splendor	0.0569031
humility	0.056848
aesthetic	0.0565659
compassion	0.0565312
wisdom	0.0564913
intimacy	0.0564615
glamor	0.0563765
depth	0.0563277
"good looks"	0.0562
friendliness	0.0561112
opulence	0.0559615
enthusiasm	0.0558906
fluency	0.0555659
adaptability	0.0555128
proficiency	0.0554588
refinement	0.055233
purity	0.0552194
imagery	0.0551935
breadth	0.0549994
daring	0.0548263
pathos	0.0546782
stature	0.0546248
tenderness	0.0545811
achievement	0.0545449
spirituality	0.0543068
grit	0.0538907
magnificence	0.053745
energy	0.0536854
competence	0.0536679
pleasure	0.0535101
glamour	0.0529452
poignancy	0.0528819
Panache	0.0528783
acuity	0.0527892
persistence	0.0527712
bravery	0.0527612
brawn	0.052712
candor	0.0527067
flavor	0.0523291
durability	0.0518894
individuality	0.0518633
heft	0.0518369
empathy	0.0517972
knowledge	0.0516627
aggressiveness	0.0516195
consistency	0.0515402
instinct	0.0514489
ambition	0.0513912
flexibility	0.0512866
self-confidence	0.0512565
physicality	0.0510099
eccentricity	0.0509538
innovation	0.0508805
radiance	0.0508502
"teaching method"	0.0506858
footwork	0.0506439
texture	0.0504325
temperament	0.050216
ethic	0.050182
pyrotechnics	0.0501466
exuberance	0.050141
heroism	0.0500301
bravado	0.0500283
patience	0.0500116
sensitivity	0.0500051
expertise	0.0499051
poetry	0.0498661
loneliness	0.0497691
integrity	0.0496861
feat	0.0492192
graciousness	0.0491639
pizazz	0.0490976
delicacy	0.048995
cohesiveness	0.0489491
joy	0.0488244
knack	0.0487945
artifice	0.0487839
lightness	0.0485882
absurdity	0.0485401
rhythm	0.0484767
seriousness	0.0477921
animation	0.0477839
whimsy	0.047736
diction	0.0477171
singing	0.0476846
wizardry	0.047661
novelty	0.0476129
majesty	0.0475349
workmanship	0.0475299
theatrics	0.0474792
maturity	0.0474629
expressiveness	0.0474393
willpower	0.0474184
nuance	0.047269
savvy	0.0471972
idiosyncrasy	0.0470353
ferocity	0.0467841
irony	0.0466938
merit	0.046636
ruthlessness	0.0465543
curiosity	0.046552
unselfishness	0.0465025
harmony	0.0464022
unpredictability	0.0463938
))
(arts (desc 8707.25) (sims
"art exhibition"	0.0786319
"fine arts"	0.0727716
"fine art"	0.0609658
"exhibition hall"	0.0602532
"folk art"	0.0583673
"art gallery"	0.0570883
"open house"	0.0562833
"theatrical performance"	0.0561284
"flea market"	0.0518235
"concert hall"	0.0513104
antique	0.0511215
"classical music"	0.0509528
"reading room"	0.0507648
"entertainment center"	0.0507086
cinema	0.0487121
"science museum"	0.0486075
workshop	0.0472661
"San Francisco Museum of Modern Art"	0.0469605
"art dealer"	0.0465169
"folk music"	0.0464035
"rock concert"	0.0460417
kiosk	0.0451795
"opera company"	0.0450089
planetarium	0.0449104
"development center"	0.0444051
"religious ceremony"	0.0443767
"jam session"	0.0440972
"movie theater"	0.0437674
"shopping center"	0.0436009
"musical performance"	0.0431326
"art school"	0.0431314
aquarium	0.0430333
artiste	0.0424248
archeology	0.042315
horticulture	0.0421637
Carnival	0.0421267
multiculturalism	0.0419849
pawnshop	0.0416933
folklore	0.0413605
theology	0.0413459
"language school"	0.0413234
bookstore	0.0412953
"botanical garden"	0.0411943
"shopping mall"	0.0411781
"martial art"	0.0410462
"gift shop"	0.0410053
archaeology	0.0406237
calligraphy	0.0404979
sleuth	0.0403658
amphitheater	0.0402754
))
("Arts Center" (desc 1526.55) (sims
"Solomon R. Guggenheim Museum"	0.065486
N.E	0.0651885
"life vest"	0.0573016
Thirty-nine	0.0539182
Oaks	0.0504684
Savoy	0.0500121
sherbet	0.0497975
"University Hospital"	0.049715
"Peter Verniero"	0.0495628
"Guggenheim Museum"	0.0478818
frontage	0.0455035
"Christine Todd Whitman"	0.0448672
orangutan	0.0413378
"Texas Christian University"	0.0408142
"Penn Station"	0.0403692
))
(artsy (desc 1501.79) (sims
Award-winning	0.0918198
Porno	0.0904861
"St. Albans"	0.0797059
"high fashion"	0.074735
Hasidic	0.0717067
"upper crust"	0.0691963
"Weekly Standard"	0.0668584
third-grade	0.0642501
gimmicky	0.0636962
highschool	0.0615449
indie	0.0557477
Deco	0.0549208
"Don Juan"	0.0545545
"upper class"	0.0544551
"Orthodox Jewish"	0.0544548
as-yet	0.0535127
Lancet	0.0532157
Annapolis	0.0521162
"naval academy"	0.0512863
"Amherst College"	0.0505496
"jet set"	0.0505051
"Animal House"	0.0502169
"picture postcard"	0.0498411
second-grade	0.0498052
eighth-grade	0.0482354
"number crunching"	0.0481874
IU	0.0478885
contrarian	0.0478674
Bensonhurst	0.0477234
"Ivy League"	0.0474359
"poring over"	0.046572
Englewood	0.0459348
egghead	0.0457981
"Granada Hills"	0.0456879
Bedford-Stuyvesant	0.0455714
hippie	0.0453541
forbidden	0.0452881
gangsta	0.0451618
raunchy	0.0445832
polytechnic	0.0441451
down-and-out	0.0439672
"closed circuit"	0.0437509
"Highland Park"	0.0436894
Germanic	0.0436498
"avant garde"	0.0433776
MBA	0.0432674
"Weight Watchers"	0.0424937
eight-minute	0.0419529
"liberal arts"	0.0419051
"straight arrow"	0.0419047
"up to three"	0.0418729
med	0.041605
SKA	0.0415895
special-effects	0.041574
counterculture	0.0414732
"German language"	0.0414724
lakeside	0.041381
"close to @@,@@@"	0.0412918
"A few key"	0.0412552
over-@@	0.041162
deadend	0.0409348
oddball	0.0406873
"Washington State University"	0.0405689
"Bible Belt"	0.0404027
Zapruder	0.0402134
"Harvard Business School"	0.0401365
))
("Arturs Irbe" (desc 1055.9) (sims
"Trevor Kidd"	0.397121
"Mikhail Shtalenkov"	0.321837
"Jocelyn Thibault"	0.299156
"Fred Brathwaite"	0.298019
"Manny Legace"	0.297673
"Manny Fernandez"	0.29568
"Olaf Kolzig"	0.287692
"Steve Shields"	0.282844
"John Vanbiesbrouck"	0.28278
"Sean Burke"	0.279445
"Ron Tugnutt"	0.262805
"Guy Hebert"	0.245272
"Roman Turek"	0.244284
"Mike Vernon"	0.243988
"Damian Rhodes"	0.240334
"Norm Maracle"	0.239103
"Rob Tallas"	0.237293
"Tom Barrasso"	0.236806
"Kevin Hartman"	0.233058
"Felix Potvin"	0.231401
"Zach Thornton"	0.229912
"John Grahame"	0.22988
"Dan Cloutier"	0.222429
"Tommy Salo"	0.221889
"Chris Osgood"	0.217696
"Bill Ranford"	0.215326
"Tom Presthus"	0.210476
"Mike Richter"	0.192424
"Jamie Storr"	0.191216
"Stephane Fiset"	0.187034
"Grant Fuhr"	0.186945
"Nikolai Khabibulin"	0.185853
"Curtis Joseph"	0.173657
"Martin Brodeur"	0.163075
Barrasso	0.155433
"Steve Beuerlein"	0.154589
"Byron Dafoe"	0.148673
"Patrick Roy"	0.147323
"Tony Meola"	0.144367
"Ed Belfour"	0.142495
"Briana Scurry"	0.139233
Ranford	0.133137
Thibault	0.129586
Schmeichel	0.129281
Legace	0.124195
"Dominik Hasek"	0.124061
"Jeff Weaver"	0.120568
"Walter Zenga"	0.117779
"Brad Friedel"	0.116682
Grahame	0.113
Fiset	0.11119
"Angelo Peruzzi"	0.109402
"Jorge Campos"	0.108754
Fuhr	0.108551
"Kirk Rueter"	0.107083
Taffarel	0.10602
"Russ Ortiz"	0.100902
"Kerry Collins"	0.0998903
"Gary Roberts"	0.0979688
Hebert	0.0976209
"Fabien Barthez"	0.0951602
"David Seaman"	0.094795
"Mac Suzuki"	0.0947237
Chilavert	0.094445
"Keith Primeau"	0.0938848
"Woody Williams"	0.0934644
Shields	0.0931117
"Ron Francis"	0.0918222
"Rae Carruth"	0.0917381
"Drazen Ladic"	0.0907714
"Francisco Cordova"	0.0894546
"Peter Schmeichel"	0.0882031
"Ryan Dempster"	0.0880541
C@@	0.0854664
Longo	0.0850972
"Tatiana Panova"	0.0849959
"Pedro Astacio"	0.0833347
"Albert Portas"	0.0831096
"Jamey Wright"	0.0830004
"Jesus Sanchez"	0.0819749
"Chris Carpenter"	0.0816163
Dunham	0.0815526
"Damon Huard"	0.0814032
Turek	0.0810873
Sautin	0.0802266
"Brad Penny"	0.079803
Kolzig	0.0794284
"Dustin Hermanson"	0.0794107
"Jon Lieber"	0.0793202
"Brian Moehler"	0.0792798
Nicol	0.0788185
"Dave Mlicki"	0.0781831
"Van Roost"	0.0781566
"Shawn Estes"	0.0781251
"Doug Pederson"	0.077232
Salo	0.0768694
Vanbiesbrouck	0.076817
"Pat Hentgen"	0.0766974
"Javier Vazquez"	0.0763548
Potvin	0.0752144
Storr	0.0747899
"BRIAN MEADOWS"	0.0744729
NAU	0.0742137
"Sean Bergman"	0.0735563
"Kasey Keller"	0.0732417
Samford	0.0731214
"Mike Mussina"	0.0727704
"Mike Sirotka"	0.0726708
"Andrei Pavel"	0.0722391
"Christian Ruud"	0.0721226
"Mark Bosnich"	0.0720546
Osgood	0.0717712
"Renzo Furlan"	0.0714578
"Wilson Alvarez"	0.0710687
Guzman	0.0707882
"Gil Heredia"	0.070577
Petkovsek	0.0705465
"Jimmy Smith"	0.0702077
Tarango	0.0701963
Belfour	0.0700977
"Jason Bere"	0.0698084
"Eric Milton"	0.0697409
"Gianluca Pagliuca"	0.069699
"Mark Gardner"	0.0696421
"Galo Blanco"	0.0695253
"Steve Parris"	0.0692389
"Rainer Schuttler"	0.0688579
"Brad Radke"	0.0680918
"Richard Fromberg"	0.0679796
F@@	0.0675871
"Bartolo Colon"	0.0674971
"Tim Belcher"	0.0672857
Sidot	0.0669709
"Kevin Tapani"	0.0668315
"Fighting Irish"	0.0667538
Hasek	0.0667096
Georges	0.0666519
Brodeur	0.066575
"Andreas Vinciguerra"	0.0662108
Santoro	0.0661858
"Jason Schmidt"	0.0656824
"Magui Serna"	0.0656026
"Jim Parque"	0.0654973
"Ramon Martinez"	0.0652201
Edberg	0.0650946
"Damian Jackson"	0.0649805
Stackhouse	0.0649437
skiff	0.0645705
"Jeff Garcia"	0.0643746
"Nathalie Dechy"	0.064273
"Scott Karl"	0.0641305
Vernon	0.0637492
"welcome mat"	0.0637476
"Chuck Smith"	0.0636428
Boucher	0.0636149
"Younes El Aynaoui"	0.0634289
Dafoe	0.0634075
"Australian Mark Philippoussis"	0.0630956
Nat	0.0630707
"Jeff Blake"	0.0630274
Fiedler	0.0627464
"Jack McDowell"	0.0626833
"Xavier Malisse"	0.0626813
"Jamie Moyer"	0.0626193
Taufik	0.0625765
"Paul Byrd"	0.0624428
"Todd Jones"	0.0621443
"Brian Bohanon"	0.0620562
"Carlos Costa"	0.0615756
"Eric Gagne"	0.0614376
"Sidney Ponson"	0.0612984
patrolmen	0.0612619
"Dave Burba"	0.0611996
Checo	0.0611672
"Bobby Newcombe"	0.0609776
"Brian Cooper"	0.0609465
Illini	0.0609278
Schoeneweis	0.0609109
Berasategui	0.0608723
"Marcus Outzen"	0.0608623
"Brian Anderson"	0.060738
Astacio	0.0605017
Kenna	0.0604439
"Shane Reynolds"	0.060346
"Neville Godwin"	0.0602869
"Carl Pavano"	0.0602673
"Heath Irwin"	0.0601759
"Hernan Gumy"	0.0596993
Golota	0.0596837
"Hicham Arazi"	0.0596778
"Naoko Sawamatsu"	0.0596632
"Sterling Hitchcock"	0.0595729
"Gil Meche"	0.0594801
"Marc Rosset"	0.0594671
"Garry Kasparov"	0.0594499
"Omar Daal"	0.0594299
"Kyle Brady"	0.0594275
"John Snyder"	0.0593088
"Seth Etherton"	0.0591187
Mabry	0.0590761
))
(artwork (desc 28752) (sims
painting	0.193181
artifact	0.175913
"work of art"	0.171188
sculpture	0.144712
memorabilia	0.138567
furnishings	0.134617
art	0.134399
furniture	0.13235
antique	0.132089
photograph	0.131935
drawing	0.130411
jewelry	0.125237
relic	0.123607
object	0.123059
"oil painting"	0.116405
item	0.11396
manuscript	0.109851
treasure	0.10753
merchandise	0.102843
portrait	0.101963
ceramic	0.101629
poster	0.100796
fresco	0.100605
watercolor	0.100397
antiquity	0.0995968
piece	0.0982636
quilt	0.097106
"art collection"	0.0964542
mural	0.0963361
picture	0.0957122
collection	0.0953654
print	0.09465
collectibles	0.0943189
Pottery	0.0931671
photo	0.0930643
carving	0.0924181
statue	0.0896635
image	0.0894848
ornament	0.0892282
sketch	0.0890791
toy	0.0887801
exhibit	0.0882769
rug	0.0880021
Coin	0.0879937
porcelain	0.0877068
calligraphy	0.0873399
"folk art"	0.085603
handicraft	0.0853794
memento	0.0852424
material	0.0847953
masterpiece	0.0837595
design	0.0834216
Clothing	0.082803
costume	0.0827869
"historical document"	0.0821904
lithograph	0.0821634
ware	0.0817873
music	0.0810984
illustration	0.0806764
decoration	0.0798005
stamp	0.0796559
vase	0.0791724
goods	0.0791642
specimen	0.0780162
book	0.0776602
video	0.0771587
doll	0.0771236
fossil	0.0766113
poem	0.0765463
"piece of furniture"	0.0761098
cloth	0.0759527
knickknack	0.0750225
photography	0.0747014
"fine art"	0.0744578
figurine	0.0742775
souvenir	0.0741584
"musical instrument"	0.0740565
lamp	0.0736092
graphics	0.0734531
"literary work"	0.0724698
flower	0.0723739
property	0.0723325
document	0.0721493
Recording	0.0720091
icon	0.0718535
artist	0.0716676
architecture	0.0714752
lantern	0.0710832
engraving	0.0707211
equipment	0.0702782
Song	0.0700966
gift	0.06996
animation	0.069799
mosaic	0.0697273
decor	0.0696581
cartoon	0.069457
product	0.0693554
works	0.069325
wallpaper	0.0693211
reproduction	0.069088
"baseball card"	0.0685129
map	0.0684651
statuette	0.0684626
textile	0.0684592
wine	0.0678084
curio	0.0677962
self-portraits	0.0677535
"compact disc"	0.0676089
text	0.0674063
craft	0.0672068
embroidery	0.066694
imagery	0.0666616
CD	0.0665264
tapestry	0.0663835
postcard	0.0659452
keepsake	0.0658276
copy	0.0657275
"landscape painting"	0.0656082
gem	0.065435
"wall hanging"	0.0653481
prop	0.065176
"consumer goods"	0.0649495
carpet	0.0648435
literature	0.064801
jewel	0.0647922
Exhibition	0.0646918
accessory	0.0646914
advertisement	0.0642479
trinket	0.0640952
garment	0.0636043
poetry	0.0632755
belonging	0.0631821
jade	0.0630126
fabric	0.0629466
paraphernalia	0.0629213
firearm	0.0627558
"written material"	0.0625717
"personal property"	0.0624471
hardware	0.0624359
asset	0.0622561
trophy	0.0619491
collage	0.0617405
chandelier	0.0617031
"film clip"	0.0616969
plaque	0.0616465
canvas	0.061483
appliance	0.0614296
woodcut	0.0612931
apparel	0.0612366
tile	0.0609523
model	0.0608905
dress	0.0604066
billboard	0.060243
weapon	0.0601294
Impressionist	0.0600148
glassware	0.0597581
recipe	0.0595894
automobile	0.0594431
skeleton	0.0593201
videotape	0.0591888
diary	0.058996
commodity	0.0588241
Masterworks	0.0586063
archive	0.0585527
audio	0.0585446
animal	0.058523
"household appliance"	0.0585101
disc	0.0584157
footwear	0.0583445
fragment	0.0583283
scenery	0.0582387
necklace	0.0580631
article	0.0580018
content	0.0577831
essay	0.0577476
letter	0.0575981
tablet	0.0574717
"compact disk"	0.057465
AD	0.0572486
gallery	0.0571947
clip	0.0571197
inscription	0.0570052
"real estate"	0.0568949
heirloom	0.056469
monument	0.0564406
"trading card"	0.0562137
"short story"	0.0561827
footage	0.0561776
statuary	0.0561642
brochure	0.0561387
character	0.0560758
writing	0.0559222
Entertainment	0.0558285
Americana	0.0558066
style	0.0557947
"stained glass"	0.0557858
food	0.0556761
Outfit	0.0556082
"floor plan"	0.0556053
"building material"	0.0556006
))
(Arua (desc 1781.82) (sims
Kitgum	0.376287
Kasese	0.334868
Bundibugyo	0.283408
Gulu	0.280395
Mbale	0.233977
Mbarara	0.227636
Batticaloa	0.209104
lira	0.173496
Trincomalee	0.165592
Sylhet	0.164663
Bazar	0.15274
Vavuniya	0.140632
Paphos	0.138853
Gisenyi	0.137261
Moyo	0.136225
Kilinochchi	0.133157
Larnaca	0.129339
Rajshahi	0.126893
Kenema	0.12196
Khulna	0.12049
Limassol	0.116295
Moshi	0.114726
Nakuru	0.114411
Vlore	0.113565
Vedeno	0.113077
Gudermes	0.110864
Kailahun	0.109136
Shali	0.108373
Uvira	0.105868
Jinja	0.105693
Kigoma	0.103368
Kisumu	0.103347
Urus-Martan	0.101608
Kandy	0.100078
Talipao	0.0999669
Galle	0.0995877
Pailin	0.0990701
Decani	0.0974716
Jaffna	0.0930766
Mullaitivu	0.0926154
Rafah	0.0922966
Makeni	0.0914327
Nabatiyeh	0.0912994
Izmit	0.0895935
dang	0.0856768
Ruhengeri	0.0838074
Badme	0.0832227
Merca	0.0815055
"Grand Central"	0.0808633
Posoltega	0.080858
Mankulam	0.0793421
Kukes	0.0783548
Nago	0.077918
Tachilek	0.077541
Marjayoun	0.0774801
Medina	0.075974
Juba	0.0754359
CHT	0.0751792
"Port Elizabeth"	0.0751401
Golcuk	0.074777
Chittagong	0.0743291
Baidoa	0.0735637
Prijedor	0.0732436
Jenin	0.0729887
Lijiang	0.0729389
Brcko	0.0724806
Kalemie	0.0721961
Paranthan	0.0720738
Baalbek	0.0716598
"Rift Valley Province"	0.0708163
Khost	0.0706469
Kaliningrad	0.0693503
Warri	0.0683932
Nogales	0.0683912
Cacak	0.0680893
Jezzine	0.0679744
Urosevac	0.0674506
Durres	0.0672585
Sihanoukville	0.0672268
Kismaio	0.0659697
Prizren	0.0659024
Bukavu	0.0657573
Kismayu	0.0647022
Khabarovsk	0.0644228
Leskovac	0.0637682
Lhokseumawe	0.0635045
Buldon	0.0634328
"Borough Park"	0.0630771
"Paradise Valley"	0.0628322
Argun	0.062312
Vukovar	0.0622356
PEC	0.0609484
Peshawar	0.0608091
Dundalk	0.0607037
Taba	0.060525
Haicheng	0.0602572
Ijaw	0.0601159
Mombasa	0.0600832
Kizlyar	0.0599464
Kanungu	0.0597004
Bengkulu	0.0596381
Jalalabad	0.0595822
Daghestan	0.059532
Jayapura	0.0594742
"Union Square"	0.0593014
Podujevo	0.0589765
"Eagle Pass"	0.0587502
Kupang	0.0584432
Dubrovnik	0.058336
Tuzla	0.0582119
Kijevo	0.0579549
Beersheba	0.057901
Kono	0.0571655
Quetta	0.0563733
CityWalk	0.0563116
Huambo	0.056238
"San Pedro Sula"	0.055857
"North West Frontier Province"	0.0556049
Ingush	0.0555877
"Bekaa Valley"	0.0554726
Matadi	0.0552899
"Chittagong Hill Tracts"	0.0551347
Sofala	0.0551174
Gnjilane	0.0550981
"Kosovska Mitrovica"	0.0547011
Haifa	0.0546531
Aachen	0.0544876
Londonderry	0.0538168
Kindu	0.053775
"Makerere University"	0.0537556
"San Cristobal"	0.0536924
Ramallah	0.05325
"North Caucasus"	0.0529824
Sedona	0.05288
Herat	0.0527873
MSF	0.0525886
Ensenada	0.0524874
Portadown	0.0523574
Pompeii	0.0519424
Srinagar	0.0519196
Entebbe	0.0517636
Bogor	0.0517062
"Western Province"	0.0516176
panhandle	0.0515955
Dodoma	0.0514118
Murmansk	0.05128
Catania	0.0510525
Ashkelon	0.0509909
Ipswich	0.0508778
Goma	0.0507556
Livingstone	0.0506914
"Suva Reka"	0.05065
Nablus	0.0502208
"Banja Luka"	0.0501857
Najaf	0.0501529
Zhangbei	0.0499872
Hastings	0.049971
"Lower Saxony"	0.049885
"Anlong Veng"	0.0496144
Kisangani	0.0495427
"Del Rio"	0.0494224
Jamestown	0.049402
Karan	0.0493585
Jalisco	0.0492921
"Eastern Province"	0.0492673
Novosibirsk	0.0492218
lowland	0.0490768
"Port Moresby"	0.0490571
"South Bay"	0.0489605
Bekaa	0.0489351
"Santa Maria"	0.0488167
BRIGHTON	0.0488071
"Old Town"	0.0487936
NIS	0.0487799
"North Maluku"	0.0487297
Salonika	0.0487125
"New Braunfels"	0.0486172
Podgorica	0.0486119
Zamboanga	0.0485801
Eschede	0.0484883
Mitrovica	0.0484389
Kragujevac	0.0483657
Srbica	0.0481884
"Bosnian Muslim"	0.0481685
"Port Said"	0.0480704
Bamiyan	0.0480329
"Kigoma Region"	0.047859
Taizhou	0.0478275
Bo	0.047662
Chamonix	0.0476269
Mazar-i-Sharif	0.0476163
"first school"	0.0475967
riverside	0.0475682
Moma	0.0475493
"one school"	0.0474946
Andulo	0.0474354
Blace	0.0473231
Ceyhan	0.0473035
"Resistance Army"	0.0472493
Assisi	0.047146
))
(Aruba (desc 2538.63) (sims
Antigua	0.119228
Bahamas	0.102626
Martinique	0.100844
"Cayman Islands"	0.100249
Grenada	0.0958701
Bermuda	0.0948162
Barbados	0.0939384
"St. Thomas"	0.0914593
Dominica	0.0912263
"St. Vincent and the Grenadines"	0.0884627
"Netherlands Antilles"	0.0880478
"Dominican Republic"	0.0867008
"Puerto Vallarta"	0.0812857
"Puerto Rico"	0.079425
"St. Lucia"	0.0787809
"St. Kitts and Nevis"	0.0782897
Sakhalin	0.0781729
Montserrat	0.0776511
Hispaniola	0.0754428
"St. Maarten"	0.0748086
Tahiti	0.0733382
Jamaica	0.0693801
"Costa Rica"	0.0687991
"El Salvador"	0.0678191
Guyana	0.0662282
"St. Croix"	0.0648222
CANCUN	0.064428
"Yosemite National Park"	0.0632592
Tarango	0.0616747
Kyushu	0.0608835
Suriname	0.0607554
Maui	0.0602739
Sipadan	0.0596964
"Trinidad and Tobago"	0.0594658
curacao	0.0590515
Moreau	0.0585858
"Antigua and Barbuda"	0.0580502
Bougainville	0.0578223
Malta	0.0571364
"Scandinavian country"	0.0566918
"Bradford City"	0.0565834
Guernsey	0.0563542
Penarol	0.0562506
"New Caledonia"	0.0561947
Guam	0.0554556
"San Lorenzo"	0.0554035
Lecce	0.0553283
"Derby County"	0.0550064
"Lake Tahoe"	0.0545298
Palawan	0.0544624
"St. Vincent"	0.0543002
Shenhua	0.0540361
Mallorca	0.0539084
"St. Helena"	0.0539062
"South Pacific"	0.0536962
"Leicester City"	0.053574
"West Ham United"	0.0534894
"San Salvador"	0.0533703
Batam	0.0532739
cayman	0.0532462
Rostock	0.0528726
"Disney World"	0.0527757
"Abu Musa"	0.0524471
Vanuatu	0.0522206
Surinam	0.0519926
Cozumel	0.0518901
"New Guinea"	0.0516787
Senegal	0.0514832
"Athletic Bilbao"	0.0512729
Obilic	0.0511335
Gremio	0.0510555
Berasategui	0.0510002
Kremer	0.0509297
Torino	0.0509066
"Red Star Belgrade"	0.0507582
"Virgin Islands"	0.0504234
Langkawi	0.0503114
Hokkaido	0.0502652
Besiktas	0.0502147
Ilie	0.0500157
Guadeloupe	0.049606
Bolivia	0.0495536
"U.S. Virgin Islands"	0.0490641
Iceland	0.0488349
Belize	0.0487595
"South American country"	0.048172
"Santo Domingo"	0.0480649
Scandinavia	0.0480483
Nevis	0.0478784
Richey	0.04786
Lindland	0.0478585
Madagascar	0.0478033
Borneo	0.0477832
"Central American country"	0.0477754
Nassau	0.0477253
"Coventry City"	0.0476696
Marlene	0.0476525
Moroni	0.0475294
Alcatraz	0.0473864
Seychelles	0.0473089
Anguilla	0.0472428
Vicenza	0.0466355
Sumatra	0.0465219
LaGuardia	0.0462557
"Red Star"	0.0462161
Hongyuan	0.0461909
Sulawesi	0.0460967
Acapulco	0.0460355
Nauru	0.0459935
Chattanooga	0.0459629
"Key West"	0.0457793
Bali	0.0456817
Maldives	0.0456007
Northland	0.0454632
"American Chanda Rubin"	0.0453017
Palau	0.0452363
"San Juan"	0.0451966
Madeira	0.0451897
Cruzeiro	0.0450644
Minneapolis	0.0449912
Southampton	0.0449861
"pineapple juice"	0.0447011
Sevilla	0.0446845
"Papua New Guinea"	0.0446359
Wolfsburg	0.0443888
"Chinese Army"	0.0442072
"Great Britain"	0.044178
Serna	0.0441666
Gabon	0.0441257
Vacek	0.0439729
Larsson	0.043643
"The Netherlands"	0.0435188
Gibraltar	0.0434309
"River Plate"	0.0433877
Nantucket	0.0433036
Watford	0.043225
Tenerife	0.0430838
"European Space Agency"	0.0429726
Schett	0.0427543
Sunderland	0.0427323
Bastia	0.042719
"Guangzhou Apollo"	0.0424973
Udinese	0.0423998
"Atlantic City"	0.0423721
Saipan	0.0422952
Mali	0.0421451
"South Georgia"	0.0420617
Crete	0.0420488
Venezia	0.0419877
Santoro	0.0419575
Estudiantes	0.0416799
"Nicole Pratt"	0.0416789
Cebu	0.0415946
Ita	0.0413233
Stolle	0.0412328
Vitoria	0.0410081
Luzon	0.0409355
Hainiu	0.0406926
Guadalcanal	0.0406453
Raoux	0.0405926
Brondby	0.0404625
"Dallas-Fort Worth"	0.0404607
Stoltenberg	0.0404446
Tasmania	0.0403793
ESP	0.0402448
Graz	0.0401558
Nacional	0.0400118
))
(arugula (desc 7360.02) (sims
lettuce	0.305992
spinach	0.288285
watercress	0.283359
chard	0.247043
frisee	0.243044
radicchio	0.241016
Basil	0.231763
parsley	0.227985
chervil	0.210377
fennel	0.208635
Kale	0.208628
cilantro	0.20542
romaine	0.202411
cabbage	0.199463
artichoke	0.193986
Endive	0.191971
"green onion"	0.191597
tomato	0.19097
"romaine lettuce"	0.190892
"Swiss chard"	0.189366
scallion	0.188166
onion	0.186055
carrot	0.185152
"pine nut"	0.185043
cucumber	0.183051
mozzarella	0.1824
celery	0.181039
"red onion"	0.179471
chive	0.178321
Parmesan	0.17714
Broccoli	0.175737
leek	0.174601
radish	0.173327
beet	0.173073
asparagus	0.171493
avocado	0.165202
tarragon	0.163725
mushroom	0.162877
zucchini	0.161707
thyme	0.159991
dill	0.158802
Sorrel	0.157669
"goat cheese"	0.15683
oregano	0.156223
olive	0.153373
eggplant	0.151464
turnip	0.149141
mint	0.149134
"red pepper"	0.148145
"green pepper"	0.14794
"brussels sprout"	0.146464
"iceberg lettuce"	0.146184
marjoram	0.144161
"green bean"	0.142903
mesclun	0.140734
"bok choy"	0.139457
"blue cheese"	0.139294
Garlic	0.139082
potato	0.135634
pea	0.135597
cheese	0.135145
shallot	0.134162
"tomato sauce"	0.133899
Collard	0.133147
"white bean"	0.130031
rosemary	0.129662
walnut	0.127893
"bell pepper"	0.124784
"black bean"	0.122682
sprout	0.122129
Gorgonzola	0.121386
herb	0.120662
"sour cream"	0.119895
"black olive"	0.11964
pepper	0.119614
FETA	0.119105
prosciutto	0.118334
vinaigrette	0.117784
Chickpea	0.117534
chilies	0.115919
salad	0.114175
"bean sprout"	0.113629
bacon	0.113426
"lemon zest"	0.113269
"hard-boiled egg"	0.112399
"olive oil"	0.111738
"raw vegetable"	0.111667
raspberry	0.110785
mango	0.110573
bean	0.110518
salami	0.110484
dandelion	0.109883
RHUBARB	0.109654
"lemon juice"	0.108707
"smoked salmon"	0.108344
shrimp	0.107883
fig	0.10776
ricotta	0.107515
"cherry tomato"	0.107495
mayonnaise	0.107464
anchovy	0.107308
pasta	0.106874
mustard	0.106468
okra	0.105934
vegetable	0.105741
Sage	0.105601
"cheddar cheese"	0.105414
melon	0.105026
lentil	0.104037
ham	0.103995
"snow pea"	0.103524
caper	0.103306
noodle	0.103219
pesto	0.102312
vinegar	0.10202
breadcrumb	0.100875
papaya	0.0996891
"shiitake mushroom"	0.0989732
chiles	0.0984626
plantain	0.0978113
crumb	0.0977853
"green salad"	0.0977291
"chicken broth"	0.097168
tortellini	0.0966277
pancetta	0.0953645
almond	0.0950795
hazelnut	0.0949443
pineapple	0.0948921
"sweet potato"	0.0942107
leaf	0.0942011
sausage	0.094185
"whipping cream"	0.0938202
jalapeno	0.0938027
cumin	0.0935313
"macadamia nut"	0.0934276
"coconut milk"	0.0932395
florets	0.0931432
cauliflower	0.09312
"water chestnut"	0.0924417
"tomato juice"	0.0920347
chicken	0.091921
croutons	0.0919144
Cheddar	0.0918648
"garlic clove"	0.0912911
"fava bean"	0.090961
lemongrass	0.0909211
"lime juice"	0.0904882
confit	0.0901789
raisin	0.0898832
"chicken breast"	0.0898044
pear	0.0893785
lemon	0.0882105
salt	0.0878849
chorizo	0.0877187
strawberry	0.0869846
polenta	0.0864317
sauerkraut	0.0863756
"egg white"	0.0862223
coconut	0.0862072
"bay leaf"	0.0861307
pecan	0.085395
lime	0.0847335
bread	0.0847042
"brown sugar"	0.0846579
squash	0.0840975
sauce	0.0837772
"corn chip"	0.0833905
ginger	0.0828346
sprig	0.0826306
yogurt	0.0824654
"beef broth"	0.0824307
calamari	0.0819049
slice	0.0816016
spaghetti	0.0815899
cranberry	0.0814522
mussel	0.0806552
hummus	0.0803455
"potato salad"	0.0800152
veggie	0.0790709
tapenade	0.0786557
"fennel seed"	0.0784105
pickle	0.0775496
nectarine	0.0775163
blueberry	0.0774534
butter	0.0771645
peach	0.0770208
pumpkin	0.0768737
linguine	0.0764059
cashew	0.0762565
"collard greens"	0.0761639
"cream cheese"	0.0761189
corn	0.0757551
"heavy cream"	0.0755564
chutney	0.0754937
"string bean"	0.0753501
"chili powder"	0.0752308
tofu	0.0750496
"pineapple juice"	0.0749963
broth	0.0747744
pistachio	0.0747643
))
(Arum (desc 4935.27) (sims
"Bob Arum"	0.215988
"Don King"	0.147647
Finkel	0.127429
Kushner	0.122705
Hybl	0.110303
Shays	0.0955901
Schmid	0.0954467
Natale	0.0920443
Ruehe	0.0913137
Hess	0.0912068
"Main Events"	0.0901795
Breuer	0.0893736
Gullikson	0.0889192
Kearin	0.0885172
Zuckerman	0.0883935
Talebi	0.0879005
Nickerson	0.0864849
"De La Hoya"	0.0864434
Goossen	0.0860391
Fassel	0.0859872
Sassa	0.0856562
Ebersol	0.0851209
Rosenthal	0.0846957
Rutherford	0.0840186
O'Connell	0.0838117
D'Alessandro	0.0833454
Ainge	0.0832014
Fassett	0.0831766
Wolfson	0.0829776
Moonves	0.0826425
Hamlin	0.0822873
Shinn	0.0821441
Fleischer	0.0820982
Mosley	0.0818835
Advani	0.0818586
Goldin	0.0818567
LaPierre	0.081706
Mudge	0.0811635
Reimer	0.0805398
McCurry	0.080402
Trinidad	0.0801561
Fagan	0.080142
Romanowski	0.079875
Copeland	0.0796872
Ritter	0.0789978
Chung	0.0787797
Winkler	0.0787652
Auriemma	0.078696
McLane	0.0786325
Geiger	0.0786225
Hoddle	0.0785726
Carroll	0.0784708
Tyson	0.0784416
Lockhart	0.0784318
Hodler	0.0784292
DeBartolo	0.0781134
Checketts	0.0780715
Rothenberg	0.0780543
Gravano	0.0780178
O'Neil	0.0779083
Rubenstein	0.0777029
Reilly	0.0776547
Donohue	0.0774674
Singson	0.0773185
Crenshaw	0.0767835
Ferrer	0.076641
Ratner	0.076517
Iglesias	0.076511
"de Charette"	0.0763664
Demaci	0.0763503
Ditka	0.0760429
Kennard	0.0759967
Caddell	0.0750988
McGuire	0.0748932
Cota	0.0747651
Wenger	0.07472
Bowen	0.0746536
Sapp	0.0745625
Cowan	0.0745569
promoter	0.0744571
Leavitt	0.0742811
Grossman	0.0742681
Henley	0.0741583
Steinberg	0.0738938
Hartsburg	0.0738725
Insulza	0.0738639
Wilhelm	0.0737558
Connolly	0.0737244
Ickes	0.0736766
Eaton	0.0736392
Rendell	0.0736339
Duquette	0.0735585
Milutinovic	0.0735563
Prewitt	0.0734387
Walsh	0.0733108
Sharpton	0.0731619
Ecevit	0.0731448
DiCicco	0.0731213
Atwood	0.072795
Robertson	0.0727705
Cashman	0.0727503
Koskinen	0.0727356
Passarella	0.0725951
Steele	0.0725928
Shaffer	0.0725879
Stephens	0.0723827
Mfume	0.0723799
Mcbride	0.0722727
Patterson	0.0722227
Lehane	0.0722079
Hauser	0.0721913
Mandelson	0.0721747
Fernandes	0.0721572
Barksdale	0.0720158
Solich	0.0719458
Valenti	0.0719081
Mikhailov	0.0718507
Draskovic	0.0717959
Weisman	0.0717861
Quartey	0.0715904
Khannouchi	0.0714438
Payne	0.0713287
Jenoff	0.0712487
Berman	0.0712132
Choate	0.0711852
Schrader	0.0711606
Hirschfeld	0.0711373
Schwarz	0.0710626
Blumenthal	0.0710177
Chavez	0.0707837
Manley	0.0707811
Grasso	0.0706519
Falk	0.0705453
Denktash	0.0705246
Ruthardt	0.0704854
Dempsey	0.070417
Sherrill	0.0704128
Levinson	0.0703497
Blatter	0.0703108
McLaughlin	0.0702699
Bettman	0.0702077
Beazley	0.0700639
Ramseys	0.0700274
Harris-Lewis	0.0698047
Bowden	0.0696316
fuller	0.0696112
McCullough	0.0695911
Eisner	0.0694908
Mullen	0.0694264
Tevanian	0.0694036
"Marianne Gingrich"	0.0693786
Zucker	0.0692769
"Al Fayed"	0.0691537
Katz	0.0690214
Alderson	0.0689586
Jovanovic	0.0689031
Jarrell	0.0688735
Bronfman	0.0688553
Joklik	0.0688544
Pollack	0.0687972
Beilin	0.0687534
Brandt	0.0686871
Rove	0.0686139
Aziz	0.0685863
Kaye	0.0684681
Katzenberg	0.06842
Brownlee	0.0684031
Zadornov	0.0683757
Clooney	0.0683215
Maritz	0.0682827
Meissner	0.068076
Alarcon	0.0680101
Hyman	0.0679149
Naumann	0.0678752
Siegel	0.067858
Samaranch	0.0678351
Gosper	0.0676735
Sergeyev	0.0675227
Greenwald	0.0674963
Hayden	0.0674944
Quackenbush	0.0674212
McKinnon	0.0673628
Riordan	0.0672587
Galvin	0.0671033
Sheppard	0.0670994
Piniella	0.066951
Lim	0.0668601
Jewell	0.0668436
Guterres	0.0668282
Strauss-Kahn	0.0667491
Rollins	0.0666586
Babbitt	0.0666095
Freedman	0.0666092
Camacho	0.0665969
Polian	0.0664385
Molinari	0.0662356
Schmidt	0.0661739
Abernathy	0.0661059
Auerbach	0.0660906
Piot	0.0660347
))
(Arusha (desc 20098) (sims
Dodoma	0.237267
Tanga	0.212057
Mwanza	0.207984
Kigoma	0.198354
"Dar es Salaam"	0.195761
Morogoro	0.188633
Lusaka	0.173123
Mtwara	0.172761
Windhoek	0.164249
Gaborone	0.162218
Lome	0.161868
Mbeya	0.157946
Nairobi	0.157376
Geneva	0.155107
Riyadh	0.146944
Accra	0.146552
Kagera	0.14626
Abuja	0.145817
Tabora	0.144113
"The Hague"	0.143523
Zanzibar	0.142332
Kigali	0.142144
Kilimanjaro	0.141929
Dushanbe	0.140328
Helsinki	0.136136
MAPUTO	0.135619
CAIRO	0.135578
"Addis Ababa"	0.134926
Pretoria	0.134128
Doha	0.131934
Kandahar	0.130269
Tripoli	0.129094
Moshi	0.1287
Algiers	0.128114
"Victoria Falls"	0.125883
BRUSSELS	0.12493
LISBON	0.124638
Oslo	0.124445
Tbilisi	0.123498
HARARE	0.122614
KAMPALA	0.121447
Belfast	0.12143
Bujumbura	0.118097
RAMBOUILLET	0.117722
Jeddah	0.117439
Islamabad	0.116261
Istanbul	0.11597
Durban	0.115495
Eilat	0.115059
Entebbe	0.114913
Tashkent	0.11424
"Nigerian capital"	0.114125
Mbabane	0.113199
Bishkek	0.112184
Vienna	0.111912
Abidjan	0.111865
Vientiane	0.111713
Rabat	0.111323
Lahore	0.110475
Maseru	0.109963
"Cape Town"	0.10989
Yaounde	0.109758
Sarajevo	0.109625
Taba	0.109473
Madrid	0.109202
Davos	0.109014
Ramallah	0.108783
Hague	0.108758
el-Sheikh	0.108716
Cartagena	0.108708
Shepherdstown	0.108622
MANAMA	0.108456
Asmara	0.107926
"New Delhi"	0.10717
Lausanne	0.107019
Mombasa	0.105478
Strasbourg	0.105328
JOHANNESBURG	0.105238
Kyoto	0.105131
"Kuala Lumpur"	0.104807
Luanda	0.10441
Minsk	0.103522
"Banja Luka"	0.10335
Bonn	0.102912
COLOMBO	0.102905
Rome	0.102465
Sirte	0.102162
"Phnom Penh"	0.101976
Libreville	0.101902
Moscow	0.101859
Baku	0.10154
ZAGREB	0.100625
Manila	0.0999869
Jakarta	0.0993734
Luxembourg	0.0993526
Paris	0.0991098
Damascus	0.0990473
Ouagadougou	0.0990274
Dublin	0.0989897
Havana	0.0987298
Khartoum	0.0986685
NICOSIA	0.0983773
CARACAS	0.0983281
Amman	0.0980889
SEOUL	0.0978642
Tehran	0.0972636
Kinshasa	0.0971151
Skopje	0.0970616
Mara	0.0968511
"Egyptian capital"	0.0964855
PYONGYANG	0.0956759
BEIJING	0.0956266
KIEV	0.0954918
Alexandria	0.0952396
"Tel Aviv"	0.0951905
DHAKA	0.0944822
Auckland	0.0944398
Ashkhabad	0.0942851
Yerevan	0.0936734
Conakry	0.0930093
HANOI	0.0927312
"Siem Reap"	0.0927303
Berlin	0.0914799
Gaza	0.0912651
Amsterdam	0.0911892
Monrovia	0.0907382
Lubumbashi	0.0905846
ANKARA	0.0904985
ATHENS	0.090308
Vilnius	0.0892433
Asuncion	0.088797
Bangkok	0.0887383
Kisumu	0.0884965
Pristina	0.0881812
TUNIS	0.0880711
Baidoa	0.0878721
STOCKHOLM	0.0878003
Basle	0.0874564
PALERMO	0.0869908
Langkawi	0.0865735
Copenhagen	0.0863691
BUDAPEST	0.0862407
Tanzania	0.0861776
"Camp David"	0.0861185
"Wye Plantation"	0.0852609
Freetown	0.0851389
Beirut	0.0848814
LONDON	0.0848307
MELBOURNE	0.0846009
Zurich	0.0845073
"Guatemala City"	0.0840407
"Abu Dhabi"	0.0836564
Nago	0.083153
DUBAI	0.0831142
Tokyo	0.0830188
Dili	0.0827507
Duesseldorf	0.0826978
Cologne	0.0821849
Panmunjom	0.0821079
Munich	0.081634
Jericho	0.0815932
"La Paz"	0.0812618
Krasnoyarsk	0.0811641
Perth	0.0810394
TIRANA	0.0808127
Djibouti	0.0807399
Naples	0.0803805
Murmansk	0.0803632
Okinawa	0.0799285
Karachi	0.0797958
Birmingham	0.0796833
Florence	0.0794024
Gulu	0.0791172
BELGRADE	0.0790857
"Buenos Aires"	0.0788296
Santiago	0.0784815
Ndola	0.0782013
"CHIANG MAI"	0.0781891
BUCHAREST	0.0779976
Cardiff	0.0779001
"St. Petersburg"	0.0778361
Merida	0.077454
YANGON	0.0774384
Muscat	0.0773075
Turin	0.077039
Chisinau	0.0766672
Aqaba	0.0763226
Goma	0.0761148
"Gaza Strip"	0.0759642
Subic	0.0757149
"Kigoma Region"	0.0755348
Baghdad	0.0752865
Rwanda	0.0752699
Prague	0.0750897
BRASILIA	0.07507
Togo	0.0750412
Burundi	0.0749154
Dakar	0.0748867
Tuzla	0.0746166
Lagos	0.074568
))
("Arvydas Sabonis" (desc 3785.63) (sims
"Damon Stoudamire"	0.348721
"Rasheed Wallace"	0.287539
"Isaiah Rider"	0.258376
"Brian Grant"	0.236475
"Bonzi Wells"	0.218116
"Jermaine O'Neal"	0.208311
"Detlef Schrempf"	0.207705
Sabonis	0.201189
"Greg Anthony"	0.201155
"Scottie Pippen"	0.176419
"Walt Williams"	0.169185
"Steve Smith"	0.168973
"Matt Geiger"	0.154374
"Jim Jackson"	0.143291
"Chris Webber"	0.135888
"Shawn Kemp"	0.135619
Stoudamire	0.132418
"Alan Henderson"	0.122208
"Dikembe Mutombo"	0.120682
"Kelvin Cato"	0.120607
"Penny Hardaway"	0.119504
"Rik Smits"	0.118194
"Yao Ming"	0.115326
"Zydrunas Ilgauskas"	0.112469
"Antonio McDyess"	0.111872
"Jayson Williams"	0.111485
"Wang Zhizhi"	0.11048
"Rod Strickland"	0.109415
"Kendall Gill"	0.108683
"David Robinson"	0.106511
"Derrick Coleman"	0.105251
"Corliss Williamson"	0.104919
"Grant Hill"	0.104488
"Toni Kukoc"	0.104466
"Brian Scalabrine"	0.102367
"Shawn Bradley"	0.102137
"Hakeem Olajuwon"	0.101411
"Tim Hardaway"	0.101225
"Mookie Blaylock"	0.100228
"Greg Ostertag"	0.100197
"Joe Kleine"	0.0984591
"Will Perdue"	0.0983742
"Jennifer Gillom"	0.0978023
"Vlade Divac"	0.0969193
"Rick Fox"	0.0967404
"Cedric Ceballos"	0.0962058
"Tom Gugliotta"	0.095947
"Jerry Stackhouse"	0.0955472
"Olden Polynice"	0.0948694
"Dave Wohlabaugh"	0.0948209
"Lisa Leslie"	0.0946677
"Jim McIlvaine"	0.0935673
"Tim Duncan"	0.0928347
"Patrick Ewing"	0.0926315
"Grant Long"	0.0909217
Pippen	0.0906181
"Ron Francis"	0.0905088
"Gary Payton"	0.0903253
"Juwan Howard"	0.0899997
Smits	0.0898583
"Brad Miller"	0.089659
"Nick Van Exel"	0.0894923
"Reggie Miller"	0.0893575
"Raef LaFrentz"	0.0882607
"Charles Barkley"	0.0882606
"John Stockton"	0.0877935
"Keith Van Horn"	0.0864118
"Jason Kidd"	0.0863407
"Alonzo Mourning"	0.0860578
"Vin Baker"	0.0857586
"Karl Malone"	0.0850886
"Anthony Mason"	0.0848775
"Cliff Ronning"	0.0845822
"Steve Nash"	0.0838639
"Rony Seikaly"	0.0827242
"Mitch Richmond"	0.0825736
"Eric Piatkowski"	0.081274
"Terry Porter"	0.0811138
"Austin Croshere"	0.0810937
"Kenyon Martin"	0.0804828
"Chris Anstey"	0.0796752
"Luc Longley"	0.0796539
"DeLisha Milton"	0.0793118
"Dan Gadzuric"	0.0791061
"Doug Weight"	0.0790992
"Antonio Davis"	0.0790218
"Sam Cassell"	0.0780861
"Benoit Hogue"	0.0776664
"Kobe Bryant"	0.0770609
"Chris Mihm"	0.076649
"Maurice Taylor"	0.0765135
"Chris Mullin"	0.0764644
"Dale Davis"	0.0764583
Schrempf	0.0762455
"Derek Anderson"	0.0762123
"Bob Corkum"	0.0760811
"Yolanda Griffith"	0.0760202
"Jake Voskuhl"	0.075882
"Jason Williams"	0.0758689
"Shaquille O'Neal"	0.0748507
"Jason Allison"	0.0745688
"Aaron Gavey"	0.0745072
"Jozef Stumpel"	0.0744387
"Vitaly Potapenko"	0.0743604
"Allen Iverson"	0.0741972
"Ron Mercer"	0.0741119
"Eric Lindros"	0.0740265
"Kenny Thomas"	0.0739726
"Ian Laperriere"	0.0738904
"Eric Snow"	0.0734317
"Danny Fortson"	0.073297
"Pierre Turgeon"	0.0729259
"Glenn Robinson"	0.0728514
"Chris Crawford"	0.0727191
"Joe Thornton"	0.0723957
"Joe Sakic"	0.072323
"Vernon Maxwell"	0.0723033
"Bobby Phills"	0.0722017
"Sam Perkins"	0.0719382
"Ray Allen"	0.0715629
Burrell	0.0715444
"Jeff Hornacek"	0.0712874
"Christian Laettner"	0.0710031
"John Salley"	0.0709036
"Jalen Rose"	0.0705356
"Ike Austin"	0.0704366
"Mark Stepnoski"	0.0703879
"Donyell Marshall"	0.0703686
"Todd MacCulloch"	0.0700579
"Travis Green"	0.0698733
"Antoine Walker"	0.0698355
MARBURY	0.0697729
"Scott Thornton"	0.0694628
"Michael Finley"	0.0694627
Longley	0.0694487
"Theo Ratliff"	0.0691103
"Alexei Yashin"	0.0689143
"Guy Carbonneau"	0.0688554
Hardaway	0.0688328
"Gary Trent"	0.06866
"Doug Gilmour"	0.0686108
"Sergei Fedorov"	0.0686081
Ceballos	0.0685422
"Sheryl Swoopes"	0.0684913
Kukoc	0.0682711
"Jeremy Roenick"	0.0682705
"Everett McIver"	0.0681473
"Kurt Thomas"	0.0679926
"Natalie Williams"	0.0678798
"Kevin Johnson"	0.067811
"Adam Oates"	0.0677757
"Travis Best"	0.0676053
"Brevin Knight"	0.0674216
"Hu Weidong"	0.0673472
"Marcus Camby"	0.067202
"Sean Elliott"	0.0671498
"Brian Skinner"	0.0671021
"Tamika Catchings"	0.0667176
"Oliver Miller"	0.0667139
"Glen Rice"	0.0667097
"Jaren Jackson"	0.0666287
"Ray Ferraro"	0.0665378
"Cynthia Cooper"	0.0664052
"Herb Williams"	0.0663334
McDyess	0.0658853
Olajuwon	0.0658006
"Petr Sykora"	0.065623
"Ronnie Bradford"	0.0654894
Fizer	0.0652091
"Mats Sundin"	0.065026
Baerga	0.0650219
"Rashard Lewis"	0.0649934
"Cliff Robinson"	0.0648456
"Antawn Jamison"	0.0647191
"Brian Shaw"	0.0646776
Szczerbiak	0.0646257
"Lamond Murray"	0.0644091
"Ed Gray"	0.0643441
"Allan Houston"	0.0643342
"Brian Skrudland"	0.0642869
"Greg Foster"	0.0642415
"Van Horn"	0.0640576
"Vince Carter"	0.064022
"Dennis Bergkamp"	0.0640127
"Yanic Perreault"	0.0637902
"Gabe Muoneke"	0.0636616
Turgeon	0.0636114
Mutombo	0.0635766
"Chris Drury"	0.0635592
"Stephon Marbury"	0.063204
"Rebecca Lobo"	0.0630025
"SCOTT BURRELL"	0.0629852
"Brent Barry"	0.0629795
"Kevin Garnett"	0.062905
"Todd Harvey"	0.0627052
"Chris Taylor"	0.0625718
"Robert Reichel"	0.0625702
"Ron Harper"	0.0625597
"Theo Fleury"	0.0625407
"P.J Brown"	0.0625121
))
("Aryan Nations" (desc 2609.33) (sims
"Islamic Jihad"	0.146665
"Operation Rescue"	0.140655
"Muslim Brotherhood"	0.110978
"Radical Party"	0.110071
"Ku Klux Klan"	0.108852
Amal	0.108367
"Islamic Movement"	0.104911
"Aum Shinrikyo"	0.100781
KKK	0.0995418
Klan	0.0991747
"Mormon Church"	0.0959134
AUM	0.09335
"Al Aqsa Mosque"	0.092504
sect	0.0914089
Otpor	0.0909337
"Congressional Black Caucus"	0.0885138
Davidian	0.0875687
"World Church"	0.0871375
WNBF	0.0857789
Scientology	0.0855946
"Orange Order"	0.084926
skinhead	0.0847132
"Democratic Unionist Party"	0.0829026
Hezb-i-Islami	0.0819102
"Center Party"	0.0818116
"Branch Davidian"	0.0809191
"Urban League"	0.0800909
"Southern Poverty Law Center"	0.079955
Arab-American	0.0794258
"Russian Orthodox Church"	0.079012
"Meretz Party"	0.078813
"Christian Coalition"	0.0781437
DAP	0.0781321
"National League for Democracy"	0.0779499
"Moro National Liberation Front"	0.0779377
CUF	0.0776531
FALN	0.0770961
"China Democracy Party"	0.0756773
"Nahdlatul Ulama"	0.0755542
supremacist	0.0752989
"Orthodox Church"	0.0749232
mujahedeen	0.0743378
"South African Communist Party"	0.0733497
"Canadian Alliance"	0.0732782
"Iraqi National Congress"	0.0731284
"Operation Lifeline Sudan"	0.0718927
Lakas	0.0718558
"Thomson CSF"	0.0715429
LRA	0.0705932
"Islamic Resistance Movement"	0.0705662
"National Front"	0.070493
"National Liberation Front"	0.0704096
"New National Party"	0.0703255
MDC	0.0703208
Zulu	0.0697959
Hamas	0.069319
"Democratic Leadership Council"	0.0693016
"United National Party"	0.0682748
PDI	0.0681982
"National Religious Party"	0.0680702
Renamo	0.0675356
UNP	0.0673578
"Christian Democratic Party"	0.067354
Menudo	0.0666789
"Greek Orthodox Church"	0.0664035
Greenpeace	0.066305
"Green Party"	0.0662429
"Labor office"	0.0662268
"National Council of La Raza"	0.0661128
"Palestine Liberation Organization"	0.0659395
"Nationalist Party"	0.0658798
"Kurdish Workers Party"	0.0658345
Inkatha	0.0656545
"New Aspiration Party"	0.0656202
RCD	0.0654852
"Caribbean Community"	0.0654104
SDLP	0.0654077
"Human Rights Campaign"	0.0652135
"National Democratic Alliance"	0.0651981
YankeeNets	0.0647351
neo-Nazi	0.0646825
"New Democracy"	0.0645629
"Real IRA"	0.0644364
"Republican House"	0.0641616
"Freedom Front"	0.0640819
"National Urban League"	0.0639193
UDM	0.0639177
"PLO Executive Committee"	0.0638787
PNC	0.06368
"United Democratic Movement"	0.0634347
"Russian Communist Party"	0.0632395
"Palestine National Council"	0.0632242
sorority	0.0627482
ANC	0.0626451
"Vietnamese Communist Party"	0.0625991
Yabloko	0.0625045
"Audubon Society"	0.0623649
"Kosovo Verification Mission"	0.0623554
RPR	0.0623182
"Armed Islamic Group"	0.0622627
Fatah	0.0621429
CCF	0.0621427
"secret society"	0.0621279
"Church of Jesus Christ of Latter-day Saints"	0.0621233
triad	0.0621204
"Republican Guard"	0.0620695
SDMI	0.0619731
IFP	0.0619488
"World Vision"	0.061851
"Nation Party"	0.0616556
"Public Enemy"	0.0616138
Elf-Aquitaine	0.0614733
MRTA	0.0614224
UDF	0.0611884
Oakmont	0.0611565
"blue angel"	0.0603706
"popular front"	0.0601062
"Likud Party"	0.0600203
"United National Independence Party"	0.0599181
"Family Research Council"	0.0598191
"Lotus Development Corp."	0.0595316
"Islamic Salvation Front"	0.059222
"Sudan People's Liberation Army"	0.0590328
NDA	0.0588246
"Serbian Orthodox Church"	0.0587489
"Freedom Party"	0.058552
Mensa	0.0584157
NSC	0.0583312
"Kurdish Workers"	0.0583149
"Local @@"	0.0582983
"Serbian Radical Party"	0.0580955
"Socialist Party"	0.0579859
SDP	0.0574665
"Labour Party"	0.0574259
"Janata Dal"	0.0569458
FIS	0.0567524
UFW	0.0566433
pro-British	0.0565279
teamster	0.0560873
"Liberation Front"	0.0560593
"Sam Rainsy Party"	0.0559617
Abortion-rights	0.0559225
"Common Cause"	0.0558487
"US House"	0.0557913
"United Methodist Church"	0.0557519
"Public Citizen"	0.0556865
"Shas Party"	0.0556184
"opposition party"	0.055589
"Herri Batasuna"	0.0555022
"Democratic Alliance"	0.0552288
"Revolutionary United Front"	0.0551793
"Popular Party"	0.0551232
"John William King"	0.0548888
"Christian church"	0.054403
"African National Congress"	0.0543915
UNAMET	0.054376
MNLF	0.0542446
NP	0.0542102
"Andean Community"	0.0541756
NRA	0.0541569
RUF	0.0540921
Zhongnanhai	0.0540419
"National Intelligence Service"	0.0540124
government-in-exile	0.0539844
"Inkatha Freedom Party"	0.0538933
"Rio Group"	0.0537079
FORD-Kenya	0.0536931
"Northern League"	0.0534201
Mullins	0.0533934
"Delta Force"	0.053158
EPR	0.0530547
"Southern Command"	0.0529302
"District Council"	0.0528877
"Field Poll"	0.0527897
FARC	0.0526788
"machinists union"	0.0525064
KNU	0.0523091
Laban	0.0521617
"World Jewish Congress"	0.0521473
"European Community"	0.0520754
"National Organization"	0.0520598
"Black Panthers"	0.0517562
GIA	0.0517458
Cuban-American	0.0516986
"Allied Pilots Association"	0.0516251
"Rainbow/PUSH Coalition"	0.0515252
"Virtue Party"	0.0514423
"Liberal Party"	0.0514127
"Abu Sayyaf"	0.0513067
AFL-CIO	0.0512509
Sunni	0.0512267
"St. Mark"	0.0512207
decontamination	0.0511347
G-@@	0.0510235
"Northern Fleet"	0.0509785
"National Election Committee"	0.0509635
"Falun Gong"	0.0509579
"National Liberation Army"	0.0509061
"Irish Republican Army"	0.0507841
ETA	0.0507757
))
("Aryeh Deri" (desc 1490.81) (sims
"Xanana Gusmao"	0.227167
"Wolfgang Schaeuble"	0.204371
"Alexander Shokhin"	0.197972
"William Hague"	0.194467
"Moammar Gadhafi"	0.163435
"Yossi Sarid"	0.160226
Deri	0.157463
"Joseph Bruno"	0.157082
"Ariel Sharon"	0.156218
"Amien Rais"	0.154358
"Oskar Lafontaine"	0.153173
"Vuk Draskovic"	0.152895
"Gennady Zyuganov"	0.143445
"Kim Il Sung"	0.142446
"Zoran Djindjic"	0.141409
"Johnny Paul Koroma"	0.140392
"Mikulas Dzurinda"	0.140292
"Nur Misuari"	0.139384
"Hashim Thaci"	0.139262
"Faisal Husseini"	0.138609
"Khaleda Zia"	0.137786
"Wang Dan"	0.136874
"Yitzhak Mordechai"	0.136034
"Martin Lee"	0.135888
"John Prescott"	0.133783
"David Trimble"	0.133578
"Foday Sankoh"	0.133558
"Vojislav Seselj"	0.133485
"Bizima Karaha"	0.13127
"Megawati Soekarnoputri"	0.13116
Chand	0.130151
"Ayatollah Ali Khamenei"	0.129361
"Alija Izetbegovic"	0.129106
"Joerg Haider"	0.12846
"Radovan Karadzic"	0.128369
"Robert Guei"	0.126524
Verney	0.125766
"Wolfgang Schuessel"	0.125161
"Ieng Sary"	0.124937
"Necmettin Erbakan"	0.123294
"Chavalit Yongchaiyudh"	0.122741
"John Hume"	0.121727
"Ibrahim Rugova"	0.120948
"Sonia Gandhi"	0.120669
"Seamus Mallon"	0.120491
"Haim Ramon"	0.119909
"Grigory Yavlinsky"	0.119372
"Jonas Savimbi"	0.118918
"Helen Clark"	0.118716
"Sam Rainsy"	0.118083
"Aslan Maskhadov"	0.117636
Buthelezi	0.117129
"Megawati Sukarnoputri"	0.117037
"Richard Gephardt"	0.116877
"Abdullah Ocalan"	0.116714
"Tomiichi Murayama"	0.116421
"Sheikh Ahmed Yassin"	0.116292
Harmoko	0.114193
"Fatos Nano"	0.114116
"Abdollah Nouri"	0.114019
"Pervez Musharraf"	0.112549
"Juan Antonio Samaranch"	0.112372
Wamba	0.112201
"Gerry Adams"	0.111164
"David Duke"	0.111079
"Abdurrahman Wahid"	0.110412
"Manuel Noriega"	0.109114
"Nikola Poplasen"	0.108232
"Roosevelt Johnson"	0.108138
"Le Kha Phieu"	0.107904
"Azem Hajdari"	0.107775
"Pol Pot"	0.107653
Koirala	0.106563
"Yukio Hatoyama"	0.105348
"Ta Mok"	0.105162
"Omar Torrijos"	0.104488
Mukora	0.104343
"George Mitchell"	0.10375
"Mikhail Gorbachev"	0.103182
"Silvio Berlusconi"	0.103117
"Ayatollah Ruhollah Khomeini"	0.102788
"John Taylor"	0.102242
"Jack Gargan"	0.101177
"Jean-Marie Le Pen"	0.10101
"Howard Baker"	0.100478
"Lou Dobbs"	0.099555
"Dick Armey"	0.099374
"George Speight"	0.099303
"Abdulsalam Abubakar"	0.0992843
"Boris Nemtsov"	0.0988679
"Carl Bildt"	0.0988058
"Begum Khaleda Zia"	0.0977777
"Dick Gephardt"	0.0973777
Barrionuevo	0.0973181
"Franjo Tudjman"	0.0972276
"Viktor Orban"	0.0969268
"Bashkim Fino"	0.0968188
"Martin McGuinness"	0.0966258
"Dan Meridor"	0.0964634
"David Levy"	0.0960778
"Tin Oo"	0.0960304
"Vojislav Kostunica"	0.0958479
Schaeuble	0.0957833
"Massimo D'Alema"	0.0951238
"Than Shwe"	0.0948483
"Ali Mahdi Mohamed"	0.094792
"Atal Behari Vajpayee"	0.0939669
"Fehmi Agani"	0.0936164
"Tom Daschle"	0.0933598
Erbakan	0.0931973
"Aung San Suu Kyi"	0.0930382
"Shamil Basayev"	0.0927137
Mokhehle	0.0926693
"Jim Jones"	0.0926452
Fortier	0.0918222
"Wang Youcai"	0.0917364
"Ian Paisley"	0.0912296
D-Mo.	0.0902881
"David Sibandze"	0.0901054
"United Malays National Organization"	0.0899973
"P.V Narasimha Rao"	0.0899637
"Anwar Ibrahim"	0.0895988
"Benazir Bhutto"	0.0895494
"Vladimir Zhirinovsky"	0.089428
"De Klerk"	0.0890389
"Rashid Dostum"	0.0879666
"Pervaiz Musharraf"	0.086294
"Don Nickles"	0.0862013
"Louis Farrakhan"	0.0860083
"Bora Milutinovic"	0.085938
R-Miss.	0.0857802
"John Shalikashvili"	0.0856517
"Joschka Fischer"	0.0852638
Meretz	0.0851486
Lazarenko	0.0848995
Shas	0.0847213
"Shimon Peres"	0.0846903
Sarid	0.0845983
"Kim Jong Il"	0.0839645
"Adem Demaci"	0.0836838
"Mesut Yilmaz"	0.0835253
"Kim Jong-pil"	0.0834442
"Andreas Papandreou"	0.0829899
"Tansu Ciller"	0.082958
"Sani Abacha"	0.0829345
"Cheng Kejie"	0.0827143
"Israeli Arab"	0.0822394
"Sali Berisha"	0.0818917
"Pierre Buyoya"	0.081815
Whitacre	0.0817899
"Gulbuddin Hekmatyar"	0.0817201
"Tony Coelho"	0.081174
Turabi	0.0809378
"Hanan Ashrawi"	0.0809153
"Natan Sharansky"	0.0808188
"Maria Hsia"	0.0805091
Agca	0.0803862
Priebke	0.0802621
Sato	0.0800849
"Marzuki Darusman"	0.079978
Karbaschi	0.0796831
"John William King"	0.0796762
"Lokendra Bahadur Chand"	0.0795478
"Hugo Chavez"	0.0793731
"National Religious Party"	0.0793253
"Richie Phillips"	0.0792766
"Imelda Marcos"	0.0792057
Xanana	0.0792039
"M. Douglas Ivester"	0.0790989
Lafontaine	0.0790966
"Rolf Ekeus"	0.0784826
"National League for Democracy"	0.078262
"Renato Ruggiero"	0.0781896
Bowers	0.0781162
Sebaggala	0.0780503
"Moshood Abiola"	0.0779362
"Israeli Foreign Ministry"	0.0777222
"Milos Zeman"	0.0776997
"Hu Jintao"	0.0776647
"Robert E. Rubin"	0.0773299
Jayalalitha	0.0772016
"Li Ruihuan"	0.0765179
Gusmao	0.0764836
"Frank Joklik"	0.0763373
Coelho	0.0763304
"Charles Mukora"	0.075659
Sharansky	0.0750912
Chavalit	0.0748226
Khamenei	0.0747752
"Canadian Alliance"	0.0747169
Lacresha	0.0746477
Markhasev	0.0744752
"Jim Leyland"	0.073725
"Alexandra Meissnitzer"	0.0737157
"spiritual leader"	0.0735904
"Krishna Prasad Bhattarai"	0.073317
Zhirinovsky	0.0732297
"Khin Nyunt"	0.0731721
"Ivan Kostov"	0.0729227
"Ho Chi Minh"	0.0728071
))
(as (desc 1073.39) (sims
"a la carte"	0.0683001
"order form"	0.0668124
state-to-state	0.0617789
one-to-one	0.059398
inpatient	0.0582944
profit-sharing	0.051085
"other nine"	0.0506749
outpatient	0.0489522
"Israeli Arab"	0.0488129
pretax	0.0485274
wildcard	0.0481715
OED	0.0440886
"Lakhdar Brahimi"	0.0436879
reefer	0.0430633
Stamps	0.0428673
arch-rivals	0.0422965
Wedgwood	0.0420447
intraday	0.0419226
NW	0.0410471
renting	0.0409277
toasty	0.0408548
"four to five"	0.040803
"Richard Hatch"	0.0404254
tagline	0.0401631
))
(as-yet (desc 975.168) (sims
gangland	0.0844336
midlevel	0.0841337
"German language"	0.0775632
"Lethal Weapon"	0.0724138
made-for-TV	0.0708797
"this @@@@"	0.0679756
late-'@@s	0.0654753
"more than ten"	0.0643702
masquerade	0.0638363
MacDonald's	0.0611523
inter-Arab	0.0596498
transformative	0.0584671
high-stakes	0.0573073
"Top @"	0.0569891
special-teams	0.0566461
indie	0.0558537
"roughly @@,@@@"	0.0539743
"Indiana Jones"	0.0538997
"Shah Alam"	0.0538752
artsy	0.0535127
"James Bond"	0.0533574
"five key"	0.053306
off-campus	0.0519574
multimillion	0.0518868
Behind-the-scenes	0.0518279
escapist	0.0510673
WordPerfect	0.0499131
"two @@@@"	0.0494626
"Three key"	0.0494066
late-@@@@s	0.0493715
"roughly @@@"	0.0489338
collaborative	0.0487327
Israeli-Arab	0.0480139
"close to @@@"	0.0479368
manmade	0.0470982
post-@@@@	0.0469465
Coen	0.0466792
Spenser	0.0464486
McGraw-Hill	0.0464413
"Fox TV"	0.0463919
bluesy	0.0461058
"the very best"	0.0460674
"avant garde"	0.0459292
small-business	0.0453544
lowlife	0.0450651
"Jekyll and Hyde"	0.0449
martial-arts	0.0448363
SAS	0.0448026
IDD	0.0447224
royalist	0.0438304
"closed circuit"	0.0435714
"Christian Democrat"	0.0433967
sub-par	0.0433422
coming-out	0.0432305
U.S.-Japan	0.0430176
"Kung Fu"	0.0429246
"turning away"	0.0427747
"Republican Senate"	0.0427594
copycat	0.0427476
Kashmiri	0.0426161
superhero	0.0425858
subpar	0.0425441
"tit for tat"	0.0425062
Alltel	0.0424775
Moro	0.0424689
WOODWARD's	0.0424264
remix	0.041407
Norplant	0.0413058
"billion dollar"	0.0411754
Braille	0.0409782
quickie	0.0409515
ragtag	0.0408289
KPFA	0.0408203
on-campus	0.0408083
"matinee idol"	0.0407162
"SIERRA BLANCA"	0.0405624
Followup	0.0405149
drive-by	0.0404512
"show biz"	0.0403684
"close to @@,@@@"	0.0402445
E-ZPass	0.04024
proactive	0.0402249
imposter	0.040035
))
(Asa (desc 2407.76) (sims
Comair	0.228205
Aeromexico	0.151405
TWA	0.135199
"America West"	0.13245
USAir	0.1306
"Alaska Airlines"	0.129205
AIRTRAN	0.128597
"Gulf Air"	0.125235
ValuJet	0.121528
"US Airways"	0.121055
"America West Airlines"	0.116527
Swissair	0.113027
AMR	0.111023
JAL	0.108419
"Air France"	0.104502
"Eastern Airlines"	0.102217
"El Al"	0.0990485
RJR	0.098732
"Northwest Airlines"	0.0980329
"American eagle"	0.097986
"American Airlines"	0.0929932
Loewen	0.0906319
EgyptAir	0.0901061
"Korean Air"	0.0900522
"Air Canada"	0.0895951
delta	0.0888886
"U.S. Soccer Federation"	0.0848021
"Continental Airlines"	0.0847571
"Kenya Airways"	0.0833034
"South African Airways"	0.0829693
"United Airlines"	0.0825048
"Trans World Airlines"	0.0821995
Garuda	0.0811411
"China Airlines"	0.080772
CCB	0.079672
Overnite	0.0793041
"Ethiopian Airlines"	0.079143
Fedex	0.0791304
"Delta Air Lines"	0.0785632
"Niagara Mohawk"	0.0784234
Cerent	0.0782865
Ahold	0.0765391
iXL	0.0763525
ALZA	0.0761943
McKesson	0.075235
"Air China"	0.0746879
IAI	0.0742384
TYCO	0.0722122
Learjet	0.0721738
Seagate	0.0718557
Cathay	0.071824
XYLAN	0.0713612
Cadbury	0.07111
SBC	0.0705226
"U.S. Trust"	0.0704844
PBA	0.0701713
Eximbank	0.0699726
BOC	0.0696941
Daimler	0.0693137
TAZARA	0.0689873
"Bankers Trust"	0.0689792
Aeroflot	0.0685324
FPL	0.0684904
OPIC	0.067374
Amtrak	0.0670098
Railtrack	0.0668952
Healtheon/WebMD	0.0666301
ATC	0.0666258
EA	0.0666147
"Thermo Electron"	0.066592
Massport	0.066337
PolyGram	0.0663078
Starwood	0.0661647
SGI	0.0658813
Raytheon	0.0652585
KLM	0.0651755
Norwest	0.0651203
Priceline	0.0650587
"Air Lanka"	0.0648461
NCR	0.0646519
"British Airways"	0.0645363
Alltel	0.0644842
"Southwest Airlines"	0.0643749
Omnipoint	0.0643519
"Rite Aid"	0.0643031
"P&AMP;G"	0.064195
E-LOAN	0.0641909
"Cathay Pacific"	0.0641816
"Pacific Century"	0.064129
"National Grid"	0.0640571
CNOOC	0.063631
"Y&AMP;R"	0.0635284
Cargill	0.063448
Cabletron	0.0633412
COLTEC	0.0633233
"Reno Air"	0.0631795
"HBO &AMP; Co."	0.0629955
"trucking company"	0.0629812
Mattel	0.0627111
Roberds	0.0626804
Terra	0.0624262
WELLPOINT	0.0624236
GPU	0.0623638
Healtheon	0.0623449
Varig	0.0620366
"Air India"	0.0619594
HBOC	0.0619562
"China Southern Airlines"	0.0617886
Inktomi	0.0615541
CSX	0.0614786
Akamai	0.0613683
IDG	0.0613138
BankBoston	0.0612516
SSB	0.061177
"Ocean Spray"	0.0610581
Amway	0.061014
Warnaco	0.06091
"Air France Concorde"	0.0607485
NSA	0.0605983
NARAL	0.0603721
Globalstar	0.0602009
"Cox Communications"	0.0601249
JetBlue	0.0599224
Unicom	0.0595152
MBNA	0.0594983
"Hongkong Telecom"	0.0593812
"Thai Airways"	0.0593716
ARCO	0.0591233
Iberia	0.0590997
MTA	0.0590462
Primedia	0.0590216
Conrail	0.0584963
Airtouch	0.0581441
Daiwa	0.0581028
Equifax	0.0579701
VENATOR	0.0577344
"Learning Co."	0.0576738
Lufthansa	0.0574633
CAA	0.0574065
"Airbus A@@@"	0.0573756
"Virgin Atlantic"	0.0571807
"Papa John"	0.0571541
HKMA	0.0571407
MetLife	0.0571367
BNFL	0.0570842
Pitney	0.0569216
"Times Mirror"	0.0569082
casualness	0.0568803
Wada	0.0568681
UFW	0.0568201
Transamerica	0.0567462
Seagram	0.0562443
"Delta Airlines"	0.056187
"T Corp."	0.0561219
Providian	0.0560669
Genzyme	0.0560485
Scientific-Atlanta	0.0560409
ENTERGY	0.0558579
Qwest	0.0557042
REIT	0.0556337
Humana	0.0555205
Gulfstream	0.0555021
"Nippon Credit"	0.0554475
Nikko	0.0554355
osprey	0.0553487
"Global Crossing"	0.0552886
Nortel	0.055286
SDB	0.0552664
Corel	0.0552616
WorldCom	0.0551217
Webvan	0.0550903
Medtronic	0.0547258
Avondale	0.0547095
SAA	0.0546788
Icahn	0.054675
Georgia-Pacific	0.0545569
AutoNation	0.0545296
CDB	0.0545015
EMC	0.0543484
NU	0.0542097
"China Eastern Airlines"	0.0542054
EBRD	0.0541648
kiwi	0.0541164
Informix	0.0540746
Marketspan	0.0540529
CAAC	0.0540004
"gas company"	0.0539935
"Gap Inc."	0.0539737
USAID	0.0538078
Vitesse	0.0538045
Emery	0.0538036
"Internet Service Providers"	0.0537459
GeoCities	0.053745
IMS	0.0536628
"Southern Co."	0.0536575
Ingram	0.0535567
"Port Authority"	0.0534266
ups	0.0534028
Broderbund	0.0534022
EDS	0.0533256
))
("Asa Carlsson" (desc 1314.7) (sims
"Andreas Vinciguerra"	0.484402
"Arnaud Di Pasquale"	0.395671
"Sarah Pitkowski"	0.38994
"Tara Snyder"	0.375909
"Mikael Tillstrom"	0.368572
"Magui Serna"	0.363294
"Albert Portas"	0.358302
"Naoko Sawamatsu"	0.353996
"Catalina Cristea"	0.352493
"Nathalie Dechy"	0.350397
"Renzo Furlan"	0.337837
"Joannette Kruger"	0.33425
"Magnus Gustafsson"	0.328692
"Marcelo Filippini"	0.325185
"Anne Kremer"	0.324981
"Judith Wiesner"	0.321016
"Hernan Gumy"	0.320201
"Magdalena Maleeva"	0.319389
"Adrian Voinea"	0.317703
"Mariano Zabaleta"	0.317355
"Mats Wilander"	0.313402
"Barbara Rittner"	0.31305
"Neville Godwin"	0.31145
"Younes El Aynaoui"	0.310046
"Xavier Malisse"	0.307877
"Arnaud Clement"	0.307579
"Franco Squillari"	0.307509
"Juan Antonio Marin"	0.306964
"Christian Ruud"	0.305564
"Cara Black"	0.304908
"Carlos Costa"	0.304509
"Arnaud Boetsch"	0.302873
"Andrei Pavel"	0.294781
"Nicolas Escude"	0.293738
"Silvia Farina"	0.290598
"Paola Suarez"	0.289232
"Vincent Spadea"	0.288195
"Rainer Schuttler"	0.287942
"Florencia Labat"	0.287307
"Jerome Golmard"	0.287275
"Kim Clijsters"	0.286934
"Nicole Pratt"	0.285952
"Nicklas Kulti"	0.285792
"Tatiana Panova"	0.285538
"Stefan Edberg"	0.285092
"Magnus Larsson"	0.282594
"Ramon Delgado"	0.28223
"Steve Campbell"	0.281843
"Sabine Appelmans"	0.281814
"Kristie Boogert"	0.279859
"Karim Alami"	0.279363
"Andrew Ilie"	0.278431
"Grant Stafford"	0.2774
"Els Callens"	0.276474
"Richard Fromberg"	0.275739
"Francisco Clavet"	0.273814
"Elena Likhovtseva"	0.27188
"Sargis Sargsian"	0.271251
"Corina Morariu"	0.271063
"Magnus Norman"	0.270888
"Olga Barabanschikova"	0.268298
"Mariano Puerta"	0.266525
"Ruxandra Dragomir"	0.265037
"Thomas Johansson"	0.26359
"Marcos Ondruska"	0.262842
"Fernando Meligeni"	0.261457
"Galo Blanco"	0.261169
"Sjeng Schalken"	0.259805
"Miriam Oremans"	0.258899
"Jonathan Stark"	0.258762
"Jeff Tarango"	0.258101
"Barbara Paulus"	0.256998
"Michael Tebbutt"	0.256439
"Yayuk Basuki"	0.254669
"Sebastien Grosjean"	0.253252
"Sebastien Lareau"	0.252332
"Max Mirnyi"	0.250648
"Alberto Costa"	0.248868
"Elena Dementieva"	0.248321
"Fabrice Santoro"	0.248292
"Amy Frazier"	0.246947
"Kenneth Carlsen"	0.245606
"Scott Draper"	0.24474
"Roger Federer"	0.244667
"Brenda Schultz-McCarthy"	0.242903
"Alexandra Fusai"	0.242482
"Li Fang"	0.242443
"Gianluca Pozzi"	0.241962
"Kveta Hrdlickova"	0.241575
"Alberto Berasategui"	0.241113
"Jonas Bjorkman"	0.2403
"Rita Grande"	0.240038
"Davide Sanguinetti"	0.237706
"Andrea Gaudenzi"	0.237074
"Dennis van Scheppingen"	0.236786
"Javier Sanchez"	0.236648
"Filip Dewulf"	0.234906
"Sergi Bruguera"	0.234836
"Guillaume Raoux"	0.234412
"Anne-Gaelle Sidot"	0.231278
"Tamarine Tanasugarn"	0.230926
"Ai Sugiyama"	0.229489
"Thomas Enqvist"	0.228494
"Jorgen Persson"	0.227155
"Jason Stoltenberg"	0.224344
"Marc Rosset"	0.223322
"MaliVai Washington"	0.223321
"Julian Alonso"	0.222261
"Brett Steven"	0.221361
"Natasha Zvereva"	0.220735
"John Van Lottum"	0.220248
"Adriana Gersi"	0.21969
"Juan Carlos Ferrero"	0.219308
"Hicham Arazi"	0.218897
"Andres Gomez"	0.217727
"Mark Knowles"	0.217499
"Leander Paes"	0.217493
"Nicolas Lapentti"	0.215132
"Andrei Medvedev"	0.214984
"David Prinosil"	0.213729
"Richey Reneberg"	0.213454
"Barbara Schett"	0.212749
"Bjorn Borg"	0.212654
"Chanda Rubin"	0.209711
"Daniel Nestor"	0.209614
"Vince Spadea"	0.209115
"Kimiko Date"	0.208214
"Kimberly Po"	0.207466
"Rika Hiraki"	0.206071
"Tommy Haas"	0.20422
"Paul Haarhuis"	0.203218
"Barbara Schwartz"	0.203046
"Mirjana Lucic"	0.202281
"Todd Woodbridge"	0.200067
"Henrieta Nagyova"	0.199706
"Patty Schnyder"	0.199254
"Felix Mantilla"	0.199218
"Nicolas Kiefer"	0.199093
"Wayne Black"	0.199064
"Sandrine Testud"	0.198765
"Albert Costa"	0.198328
"Justin Gimelstob"	0.197392
"Dominique Van Roost"	0.197038
"Jan-Michael Gambill"	0.196896
"Guy Forget"	0.195561
Nacional	0.195162
"Amelie Mauresmo"	0.195152
"Jan-Ove Waldner"	0.193686
"Janet Lee"	0.192847
"Julie Halard-Decugis"	0.192493
"Anke Huber"	0.19168
"Lisa Raymond"	0.191089
"Mary Joe Fernandez"	0.190569
"Irina Spirlea"	0.190562
"Karina Habsudova"	0.190134
"Alex O'Brien"	0.189819
"Byron Black"	0.189486
"Wang Shi-Ting"	0.189018
"Jennifer Capriati"	0.186806
"Mahesh Bhupathi"	0.186691
Swardt	0.183661
"Denisa Chladkova"	0.182155
"Mark Woodforde"	0.181601
"Daniel Vacek"	0.181488
"Bohdan Ulihrach"	0.181179
"Katarina Studenikova"	0.181088
"Chris Woodruff"	0.179609
"Pernilla Wiberg"	0.178366
"Jim Courier"	0.178177
"Partizan Belgrade"	0.175639
"Iva Majoli"	0.175527
"Jiri Novak"	0.173702
"Lori McNeil"	0.173214
"Helena Sukova"	0.171932
"Martin Damm"	0.171776
"Wayne Arthurs"	0.171558
Malmo	0.170658
"Conchita Martinez"	0.170406
"Arantxa Sanchez-Vicario"	0.169897
"Paul Goldstein"	0.169862
"Jelena Dokic"	0.169242
"Marat Safin"	0.169064
"Slava Dosedel"	0.166786
"Diego Nargiso"	0.164386
Berasategui	0.163838
"Dominik Hrbaty"	0.163622
"Amanda Coetzer"	0.162879
"Nathalie Tauziat"	0.162727
"Michael Stich"	0.161227
"Sandon Stolle"	0.160668
"Thomas Muster"	0.160636
"Wayne Ferreira"	0.160626
"Karol Kucera"	0.159367
"Colo Colo"	0.158902
"Sandra Kleinova"	0.158759
Siemerink	0.15875
"Olivier Delaitre"	0.157741
Kroslak	0.15746
Bruguera	0.154244
"Pat Rafter"	0.154086
"Xia Xuanze"	0.152891
"Arantxa Sanchez Vicario"	0.152306
Schalken	0.151354
"Dai Yun"	0.148119
"Olympiakos Piraeus"	0.146919
"Todd Martin"	0.146348
Stoltenberg	0.146206
Raoux	0.146196
"Michael Chang"	0.145171
"Gong Ruina"	0.144379
"Tim Henman"	0.143531
Edberg	0.143031
"Carlos Moya"	0.142775
Olimpia	0.142314
"Larisa Neiland"	0.141355
Zamalek	0.140091
"Mark Philippoussis"	0.139951
"Richard Krajicek"	0.139948
"Cedric Pioline"	0.139892
Halard-Decugis	0.139874
"Goran Ivanisevic"	0.139615
"Alexandra Stevenson"	0.139141
"Gong Zhichao"	0.138484
Independiente	0.138251
"Gustavo Kuerten"	0.138128
"Greg Rusedski"	0.137396
"Rodney Eyles"	0.136859
"Alex Corretja"	0.136819
"Peter Rasmussen"	0.136482
"Ji Xinpeng"	0.135536
"Wang Liqin"	0.13517
"Mary Pierce"	0.135017
"Petr Korda"	0.134667
"Phenix City"	0.134231
"Peter Nicol"	0.13379
"Boris Becker"	0.133722
"Lleyton Hewitt"	0.13247
"Joko Suprianto"	0.132427
Habsudova	0.13172
Brondby	0.130914
"Marcelo Rios"	0.1303
Dragomir	0.129765
"Simon Archer"	0.129637
"Budi Santoso"	0.129185
"Chen Gang"	0.128065
"Yevgeny Kafelnikov"	0.127449
"Vladimir Samsonov"	0.126639
"Zhang Ning"	0.126468
"Monica Seles"	0.126274
"Ye Zhaoying"	0.12572
"Guangzhou Apollo"	0.125082
"Boca Juniors"	0.124853
"Fung Permadi"	0.124199
Gremio	0.124195
"Mia Audina"	0.122371
"Yang Ying"	0.121507
"Camilla Martin"	0.120662
"Susi Susanti"	0.12027
"Australian Mark Philippoussis"	0.119583
"River Plate"	0.119349
"Jacco Eltingh"	0.119236
Gothenburg	0.11833
Ulihrach	0.118143
Sanchez-Vicario	0.11791
"Sturm Graz"	0.117103
Haarhuis	0.117014
Cruzeiro	0.116617
"Wang Nan"	0.116479
"Olympique Marseille"	0.115545
"Slavia Prague"	0.115378
"Anna Kournikova"	0.114351
Hendrawan	0.114291
Prinosil	0.114252
Panathinaikos	0.11414
Besiktas	0.113419
"Serena Williams"	0.113321
"Lindsay Davenport"	0.113254
"Ma Lin"	0.11299
Penarol	0.112452
Starzz	0.112153
"Jana Novotna"	0.112005
"Heryanto Arbi"	0.111977
"AEK Athens"	0.111464
"Rashid Sidek"	0.111028
Testud	0.110648
"VfB Stuttgart"	0.110469
"David Rikl"	0.110457
"Slovak Republic"	0.110064
Palmeiras	0.109894
Hermanson	0.109721
"Ong Ewe Hock"	0.109595
"Le Defi Francais"	0.109378
x@@	0.108913
Likhovtseva	0.108635
"Patrick Rafter"	0.10859
Sugiyama	0.107958
Coetzer	0.107934
"Martina Hingis"	0.107684
"Athletic Bilbao"	0.107232
Mauresmo	0.106974
"Peter Gade Christensen"	0.106765
Kucera	0.106693
Kuerten	0.106675
Heerenveen	0.106136
"American Pete Sampras"	0.105676
Anderlecht	0.105548
Enqvist	0.105464
"Jansher Khan"	0.105282
"Chen Jing"	0.10509
"Jimmy Connors"	0.104904
"Velez Sarsfield"	0.103897
"Scarlet Knights"	0.10387
Moehler	0.102552
"Steffi Graf"	0.102319
Clavet	0.101757
"Qingdao Hainiu"	0.101741
"Wang Chen"	0.100808
Illini	0.100788
"Werder Bremen"	0.100472
"Martin Lee"	0.100259
Hrbaty	0.100131
))
("Asa Hutchinson" (desc 4497.35) (sims
"Ed Bryant"	0.311362
"Bill McCollum"	0.238954
"Lindsey Graham"	0.227042
"James Rogan"	0.2237
"Tim Hutchinson"	0.203243
"Bob Barr"	0.201613
"Charles Canady"	0.194279
Hutchinson	0.1666
"James Sensenbrenner"	0.155665
"David Dreier"	0.154031
"Dan Miller"	0.147658
"Steve Chabot"	0.144159
"Mark Sanford"	0.143936
"Carolyn McCarthy"	0.14098
"Charlie Norwood"	0.136852
"Lamar Smith"	0.136549
"Henry Hyde"	0.135816
"Christopher Shays"	0.135814
"George Gekas"	0.134525
"Ron Paul"	0.133147
R-S.C.	0.131556
"Tom Campbell"	0.131025
"Blanche Lincoln"	0.128514
"Mike Huckabee"	0.125904
"Benjamin Gilman"	0.125601
R-Ark.	0.123094
"Jerrold Nadler"	0.120328
"John Conyers"	0.120138
"Barney Frank"	0.119721
"Christopher Smith"	0.118457
"Zoe Lofgren"	0.118348
"Christopher Cox"	0.117691
"Steve Largent"	0.117691
"Nita Lowey"	0.117018
"Mark Foley"	0.116501
"Jim Kolbe"	0.116254
"Nancy Pelosi"	0.114774
"Martin Meehan"	0.114537
"J.C. Watts"	0.110297
"Charles Rangel"	0.10996
"Sheila Jackson Lee"	0.108427
"John Linder"	0.106858
"Robert Ray"	0.106315
"Mary Bono"	0.105149
"Charles E. Schumer"	0.104629
"Tom Coburn"	0.104496
"Bruce Teitelbaum"	0.10361
"Bob Franks"	0.101373
"Jim McDermott"	0.10105
"Matt Salmon"	0.100788
"Jack Kingston"	0.0999102
"Maxine Waters"	0.0998835
"Bernard Sanders"	0.0997477
"Jack Quinn"	0.0995128
"George Miller"	0.0992886
"Jennifer Dunn"	0.0983369
"Linda Smith"	0.0978886
"Porter Goss"	0.0962538
"Dan Burton"	0.0959173
"Jim Bunning"	0.0956355
"Bill Thomas"	0.0955977
"Curt Weldon"	0.09536
"Jose Serrano"	0.0952439
"Charles LaBella"	0.0950762
"Carolyn Maloney"	0.0944252
"Bill Archer"	0.0944184
"Jim Leach"	0.0942277
"Dale Bumpers"	0.0939665
"George Nethercutt"	0.0925785
"Chris Smith"	0.0924701
"John Dingell"	0.0921215
"Lee Hamilton"	0.0914458
"Billy Tauzin"	0.0910433
"Peter King"	0.0906993
"Henry Waxman"	0.090618
Rogan	0.090375
"Louise Arbour"	0.0896121
"Ernest Hollings"	0.0889877
"Connie Mack"	0.0889348
D-Ark.	0.0887704
"John Boehner"	0.0885478
"David Bonior"	0.0883387
"Patrick Kennedy"	0.0882021
"Sherwood Boehlert"	0.0863162
"Charles Schumer"	0.0853519
"Don Young"	0.0852403
"Norm Dicks"	0.0852016
"Tom Kelly"	0.0849803
"Marge Roukema"	0.0845414
"Tim Johnson"	0.0844269
"John Breaux"	0.0835411
"Tom Harkin"	0.0830005
"Martin Frost"	0.0828189
"Charles Stenholm"	0.0812545
"Lloyd Doggett"	0.0798369
"Tony Coelho"	0.0781608
"Jim Leyland"	0.0778861
"Buck Showalter"	0.0774121
"Tom Davis"	0.077307
"Tillie Fowler"	0.0760171
Ponte	0.0755004
"Ron Wyden"	0.0751709
"Charlene Barshefsky"	0.0745011
"Henry Bonilla"	0.0739905
"Bobby Cox"	0.0739533
"Mike DeWine"	0.0738428
"Shelly Finkel"	0.0737627
"John Lewis"	0.0732701
"Connie Morella"	0.0726403
McCollum	0.0722554
"Tom DeLay"	0.0717326
"William Roth"	0.071705
"Robert Menendez"	0.0716465
"David Boies"	0.0708829
"Dick Armey"	0.0703215
"Nancy Johnson"	0.0697477
Cleland	0.0695852
"Faisal Husseini"	0.0694006
"Terry Collins"	0.0693174
"Tom Daschle"	0.0692618
"Rick Lazio"	0.0689714
"Robert Torricelli"	0.0688935
"Bob Livingston"	0.0680198
"Robert Livingston"	0.0675347
"Arlen Specter"	0.067028
"Robert Byrd"	0.0664634
"Mark Green"	0.0663457
"Greg Ganske"	0.0651085
"Richard Gephardt"	0.0643957
"Karl Rove"	0.0640671
"Edward Kennedy"	0.0623013
"John Chafee"	0.0620985
"Fred Thompson"	0.0611158
"Jim Turner"	0.0606831
"Strom Thurmond"	0.0606828
"House Majority Whip Tom DeLay"	0.0603867
"Sam Brownback"	0.059586
"Don Zimmer"	0.0594748
"Bobby Valentine"	0.0591208
"Sue Kelly"	0.0590569
"Bill Frist"	0.0587742
"Don Baylor"	0.0584721
"Mary Jo White"	0.0580206
"James Inhofe"	0.0575347
"Larry Craig"	0.0571556
"Lou Piniella"	0.0568907
"Susan Molinari"	0.056774
"Phil Gramm"	0.0561473
R-Ga.	0.0558325
"John Warner"	0.055605
"Loretta Sanchez"	0.0554
"Mike Hargrove"	0.0550065
R-Calif.	0.0547944
"Carlos Westendorp"	0.0547662
"Dick Gephardt"	0.054738
"Bob Smith"	0.0543676
Paxon	0.0535215
"John Weaver"	0.0535026
Caddell	0.0533608
"Kay Bailey Hutchison"	0.0532851
R-Tenn.	0.0532822
Nickerson	0.0531686
"Jim Hodges"	0.052833
"Max Baucus"	0.0528046
"Mike Scioscia"	0.0526961
"Trent Lott"	0.052071
Wellstone	0.0518715
"John Kasich"	0.0518459
"Michael Forbes"	0.0517202
"Kenneth W. Starr"	0.0516022
"Davey Johnson"	0.0511742
"Tony La Russa"	0.0508852
"Tommy Lasorda"	0.0507694
"Lauch Faircloth"	0.0505561
"Dusty Baker"	0.050521
"Jesse Helms"	0.0503619
"Edward M. Kennedy"	0.0502864
"David Kendall"	0.0501117
"Jimy Williams"	0.0500471
"Long Yongtu"	0.0500007
"Yossi Beilin"	0.0499777
"Billy Martin"	0.0498345
"Robert Bennett"	0.0497547
"Olympia Snowe"	0.0490167
"Susan Collins"	0.0488595
"John Sweeney"	0.048785
"Bob Graham"	0.0486403
"Tom Hayden"	0.0486138
Barr	0.0485271
"Lee Atwater"	0.0483288
"Dennis Hastert"	0.0482295
"Mike Murphy"	0.0481617
"Chuck Hagel"	0.0480133
Ratliff	0.0480086
"Patrick Leahy"	0.0476913
"Daniel Patrick Moynihan"	0.0476388
R-Ill.	0.0468054
"Sam Nunn"	0.0465278
"Amo Houghton"	0.046499
"Spencer Abraham"	0.0464596
))
(Asahi (desc 2064.28) (sims
"Asahi Shimbun"	0.382464
"Yomiuri Shimbun"	0.342433
Yomiuri	0.323062
"Nihon Keizai Shimbun"	0.316953
Hurriyet	0.297318
"Nihon Keizai"	0.293444
"El Pais"	0.27095
Kommersant	0.243165
"Moscow Times"	0.231762
Maariv	0.228888
"El Mundo"	0.218081
"Yediot Ahronot"	0.216595
Granma	0.215191
"New Nigerian"	0.21484
Reforma	0.208611
Bild	0.206626
Sowetan	0.204745
"Business Day"	0.200416
L'Equipe	0.19917
Haaretz	0.199141
Izvestia	0.19656
al-Hayat	0.196444
Al-Thawra	0.194981
"Rodong Sinmun"	0.19175
Noticias	0.18447
Politika	0.184022
"National Post"	0.182539
"Kenya Times"	0.1824
"Straits Times"	0.179389
"Egyptian Gazette"	0.176642
"Le Monde"	0.175701
"Business Times"	0.175288
"Al Ahram"	0.172224
"Daily Nation"	0.170645
"Indonesian Observer"	0.17046
"Le Figaro"	0.168872
"Daily Times"	0.168854
Al-Ahram	0.167245
"The Monitor"	0.166483
"East African Standard"	0.166416
"Ethiopian Herald"	0.165956
"Alam Al Yom"	0.163628
Sera	0.163493
Salam	0.162607
"New Vision"	0.159809
"Jerusalem Post"	0.157258
"Tehran Times"	0.155102
"Al Hayat"	0.154107
"Daily Star"	0.153189
"Nhan Dan"	0.152157
"Jakarta Post"	0.151514
"Sydney Morning Herald"	0.15129
"New Straits Times"	0.148479
"Kathmandu Post"	0.147379
Malaya	0.147104
"Post Express"	0.147071
"Zambia Daily Mail"	0.14672
"Jordan Times"	0.146032
"Guangming Daily"	0.144972
"The New Vision"	0.144498
"Iran News"	0.14448
"Daily Mail"	0.143012
"Financial Mail"	0.139608
"South China Morning Post"	0.139095
Antara	0.136218
"Gulf News"	0.135168
"Bangkok Post"	0.135072
Inquirer	0.134387
"Koha Ditore"	0.133771
"Agence France Presse"	0.133024
"Khaleej Times"	0.131101
Tous	0.130563
"Kyodo News"	0.130508
NHK	0.130462
"United Press International"	0.130031
"Ghana News Agency"	0.128925
BS	0.128458
Notimex	0.127453
"Detroit Free Press"	0.127258
"Daily Telegraph"	0.126282
"Financial Times"	0.125748
"Vietnam News"	0.125
WAM	0.122359
"Kyodo News Service"	0.122286
"Saudi Press Agency"	0.120903
MTI	0.120397
"USA TODAY"	0.118902
"Evening Standard"	0.118793
Tass	0.116053
"Wenhui Daily"	0.114285
"Egyptian Middle East News Agency"	0.113674
"Southern African Broadcasting Association"	0.111392
tribune	0.1102
"roll call"	0.109046
"Washington Times"	0.108758
"Seattle Times"	0.108636
Kyodo	0.108428
CTV	0.108115
"Detroit News"	0.108046
Lusa	0.106484
"Zambia News Agency"	0.10487
"Turkish Daily News"	0.103941
"China Daily"	0.103397
RSS	0.102681
"Korean Central News Agency"	0.102152
telegraph	0.100979
SSB	0.100259
SAPA	0.100223
Dominion	0.100139
"Cyprus News Agency"	0.0995264
Ansa	0.0991257
"Business Weekly"	0.0976679
gazette	0.0971826
Bernama	0.0969655
"Zimbabwe News Agency"	0.0967773
"Boston Herald"	0.0964176
"Arizona Republic"	0.0955235
"Daily News"	0.0953056
"Wen Wei Po"	0.0948015
"Macao Daily News"	0.0941594
Anatolia	0.0940891
"Beijing Daily"	0.0937423
"Rwanda News Agency"	0.0935376
"Philippine News Agency"	0.0934575
ABS-CBN	0.0932631
"Thai News Agency"	0.0929954
"U.S. Labor Department"	0.092101
"British Broadcasting Corporation"	0.0919317
"Dow Jones Newswires"	0.0916079
"Los Angeles Times"	0.0915194
broadsheet	0.0911131
Brasil	0.0906623
Oregonian	0.0905169
MENA	0.0903767
"Village Voice"	0.0898224
"press agency"	0.0889907
Angop	0.0882224
ATA	0.0881318
"Radio Uganda"	0.088065
"Kuwait News Agency"	0.0879617
KPL	0.0877749
IRNA	0.0876922
"Information Center"	0.0871722
"Ethiopian News Agency"	0.0868381
"Der Spiegel"	0.0867687
"New York Post"	0.0860842
Televisa	0.0859229
Petra	0.0854274
Spiegel	0.0853078
"Dallas Morning News"	0.0850461
Jana	0.0849251
ISTAT	0.0847731
"Australian Associated Press"	0.084568
"East African"	0.0844952
Tanjug	0.0835184
"New Light"	0.0833637
"Washington Post"	0.0824925
Star-Ledger	0.0822831
"Associated Press of Pakistan"	0.0816505
Zogby	0.0802466
"Conference Board"	0.0800007
"Hartford Courant"	0.0799726
"National Association of Realtors"	0.0798924
NTV	0.0797221
"Athens News Agency"	0.0796614
Carlsberg	0.0794605
"Economic Daily"	0.0793886
Babel	0.0793381
"Des Moines Register"	0.0792057
Guardian	0.0790043
PTI	0.0785357
"Cincinnati Enquirer"	0.0784926
CNA	0.0782219
"Red Star"	0.0778807
APA	0.077819
"San Francisco Examiner"	0.0777985
IEA	0.0775658
AFP	0.0774099
"Statistics Canada"	0.0772848
"Agence France-Presse"	0.0772009
"Chicago Sun-Times"	0.0764557
ESPN.com	0.0760382
"San Francisco Chronicle"	0.0757799
APP	0.075766
"China Youth Daily"	0.0755889
Reuters	0.0749816
Rudman	0.0748599
INA	0.0747839
"Vietnam News Agency"	0.0747331
"Israel Radio"	0.0747301
"Press Trust of India"	0.0745753
"Antara News Agency"	0.0744624
Tennessean	0.0742427
"Wall Street Journal"	0.0739619
"Chicago Tribune"	0.0738924
"Iraqi News Agency"	0.0735428
"Bloomberg News"	0.073281
"China Daily Business Weekly"	0.0730719
Sabah	0.0726559
"News Agency of Nigeria"	0.0725745
))
("Asahi Shimbun" (desc 1332.4) (sims
"Yomiuri Shimbun"	0.566763
"Nihon Keizai Shimbun"	0.507394
"El Pais"	0.387987
Hurriyet	0.382706
Asahi	0.382464
"Nihon Keizai"	0.367613
Kommersant	0.328715
"Moscow Times"	0.32729
Granma	0.321036
"El Mundo"	0.30356
Reforma	0.290098
Yomiuri	0.286502
L'Equipe	0.286088
"Nhan Dan"	0.277059
"Rodong Sinmun"	0.269056
Politika	0.260172
Maariv	0.25841
"Yediot Ahronot"	0.256578
Al-Thawra	0.256201
Salam	0.255947
al-Hayat	0.251898
Bild	0.250642
"Iran News"	0.246081
"National Post"	0.241894
"Egyptian Gazette"	0.240703
"Le Figaro"	0.237495
"Jordan Times"	0.237358
Izvestia	0.23716
Noticias	0.235618
"Tehran Times"	0.234889
Haaretz	0.231866
"Koha Ditore"	0.230456
"New Nigerian"	0.219184
Sowetan	0.218508
"Jerusalem Post"	0.216246
"New Vision"	0.215895
Sera	0.210261
"South China Morning Post"	0.209864
"Kenya Times"	0.207289
"Vietnam News"	0.204818
"Business Day"	0.20206
"Daily Star"	0.201413
Al-Ahram	0.200931
"Guangming Daily"	0.199476
"Le Monde"	0.196762
"Straits Times"	0.196184
"Al Ahram"	0.195286
"Financial Times"	0.185969
"Business Times"	0.184979
"Sydney Morning Herald"	0.184691
"Indonesian Observer"	0.183312
"Daily Telegraph"	0.182966
"The Monitor"	0.181681
"New Straits Times"	0.178376
"The New Vision"	0.17577
Inquirer	0.175063
"Gulf News"	0.17426
"Alam Al Yom"	0.173267
"Agence France Presse"	0.172742
"Daily Mail"	0.172641
"Jakarta Post"	0.169424
"Al Hayat"	0.168854
"Ethiopian Herald"	0.168442
"Daily Nation"	0.16379
MTI	0.162684
"Bangkok Post"	0.161421
"Zambia Daily Mail"	0.158471
"Daily Times"	0.15582
"Detroit Free Press"	0.151275
"East African Standard"	0.149518
"Kathmandu Post"	0.149136
"Wenhui Daily"	0.146529
IRNA	0.145446
Tous	0.14495
"U.S. Labor Department"	0.142676
"National Association of Realtors"	0.142415
"Detroit News"	0.139712
Malaya	0.13955
Notimex	0.138228
"USA TODAY"	0.13777
"British Broadcasting Corporation"	0.137272
"United Press International"	0.136272
"Kyodo News Service"	0.135958
"Egyptian Middle East News Agency"	0.135192
tribune	0.13425
"Post Express"	0.133689
Antara	0.132715
"Ghana News Agency"	0.132524
"Evening Standard"	0.131997
gazette	0.131531
"News Agency of Nigeria"	0.129848
"Islamic Republic News Agency"	0.129463
Zogby	0.129404
"Kyodo News"	0.128724
"Daily News"	0.128056
"Los Angeles Times"	0.126828
"Financial Mail"	0.126823
"roll call"	0.126043
"Seattle Times"	0.125839
telegraph	0.123628
Tass	0.122753
"Saudi Press Agency"	0.12067
Anatolia	0.120415
"Des Moines Register"	0.120121
NHK	0.119705
"Xinhua News Agency"	0.119688
"Der Spiegel"	0.119253
"Korean Central News Agency"	0.119092
"Macao Daily News"	0.118564
"San Francisco Examiner"	0.118523
"Cyprus News Agency"	0.118409
"Zambia News Agency"	0.116938
Ansa	0.116508
"Southern African Broadcasting Association"	0.116113
"Wen Wei Po"	0.115972
"Washington Post"	0.115734
"Turkish Daily News"	0.115386
Tennessean	0.113755
Lusa	0.11345
"Australian Associated Press"	0.113366
Kyodo	0.112729
"Agence France-Presse"	0.11196
"Khaleej Times"	0.111038
Guardian	0.110829
"Thai News Agency"	0.110387
Oregonian	0.109719
WAM	0.109577
RSS	0.109454
"New Light"	0.108917
Itogi	0.108469
"Arizona Republic"	0.106868
"Hartford Courant"	0.106617
"Ethiopian News Agency"	0.106344
"Statistics Canada"	0.106043
"Philippine News Agency"	0.105836
"Bloomberg News"	0.105707
BS	0.105139
APA	0.104321
"China Daily"	0.104137
"Business Weekly"	0.103669
"Rwanda News Agency"	0.103408
Dominion	0.102109
"Middle East News Agency"	0.101446
Star-Ledger	0.10081
"Vietnam News Agency"	0.100689
"Village Voice"	0.100683
"Dow Jones Newswires"	0.100655
"Wine Institute"	0.0997104
"Urban League"	0.0994321
"Zimbabwe News Agency"	0.099101
roper	0.0985617
"Beijing Youth Daily"	0.09826
Angop	0.0977243
Aventajado	0.0969821
"Cincinnati Enquirer"	0.096334
"Press Trust of India"	0.0957595
Ruehe	0.0954393
"Kansas City Star"	0.0948115
"Information Center"	0.0942195
Sabah	0.0931164
"Associated Press of Pakistan"	0.0927855
"Washington Times"	0.0925815
Bernama	0.0923254
Gallup	0.0922632
"Wall Street Journal"	0.0921958
"Iraqi News Agency"	0.09205
"San Francisco Chronicle"	0.0918044
KPL	0.0916032
"Kuwait News Agency"	0.0910736
"China Youth Daily"	0.0909726
"Palm Beach Post"	0.0903936
"Conference Board"	0.0902877
"Boston Herald"	0.0897521
"British Broadcasting Corp."	0.0896656
"Chicago Sun-Times"	0.0896127
"Radio Uganda"	0.089456
ISTAT	0.089258
"Beijing Daily"	0.0889971
"Kaiser Family Foundation"	0.0889679
Eurostat	0.088574
"Antara News Agency"	0.0885424
Reuters	0.0880228
"Bureau of Labor Statistics"	0.08775
ESPN.com	0.0875906
ATA	0.0869859
Newsweek	0.0869808
SAPA	0.0866853
Kyprianou	0.0856822
"Jerusalem Media and Communication Center"	0.0856416
"press agency"	0.0855451
"New York Post"	0.085089
"Pew Research Center"	0.0844857
"Press Trust"	0.084261
Babel	0.0842406
"Athens News Agency"	0.0837766
PTI	0.0835188
SSB	0.0834751
CNA	0.083241
"Miami Herald"	0.0827809
"Chicago Tribune"	0.0826912
))
(Asarco (desc 3523.83) (sims
NatWest	0.202685
COLTEC	0.197166
"Phelps Dodge"	0.194193
Mannesmann	0.173339
"U S West"	0.169252
Bestfoods	0.168782
NiSource	0.168589
"U.S. Trust"	0.166716
Avondale	0.163812
Warner-Lambert	0.159197
"Royal Bank"	0.155772
McKesson	0.155255
Qwest	0.154604
ALZA	0.148871
YPF	0.148785
SmithKline	0.148377
"Air Canada"	0.144986
Ciena	0.144126
"Telecom Italia"	0.142989
RJR	0.142869
Nabisco	0.142738
"Newport News"	0.142228
SkyTel	0.14174
Comsat	0.13942
"Fred Meyer"	0.138066
Paribas	0.136883
"Times Mirror"	0.136114
Petrofina	0.135968
VoiceStream	0.135143
ascend	0.134534
"Niagara Mohawk"	0.13428
Stratus	0.13241
"Northeast Utilities"	0.129746
Mediaone	0.129359
"Thermo Electron"	0.129312
ENTERGY	0.128567
Litton	0.128167
Aetna	0.128039
"True North"	0.127446
ARCO	0.127372
Seagram	0.127285
"Union Carbide"	0.127009
Humana	0.125606
Alcan	0.124133
WPP	0.122468
Tenneco	0.12088
Healtheon	0.120781
"Waste Management"	0.12048
"Societe Generale"	0.119663
"Bankers Trust"	0.119596
"Atlantic Richfield"	0.119419
Emulex	0.119036
Airtouch	0.118783
Warnaco	0.118445
"Y&AMP;R"	0.118429
VENATOR	0.11636
Sunbeam	0.115163
UAL	0.114644
Lycos	0.114494
Terra	0.114376
Infoseek	0.114292
"Times Co."	0.114231
GTE	0.113537
BCE	0.11336
"Learning Co."	0.112955
"Burlington Northern"	0.112797
"Bankers Trust Corp."	0.11234
Scania	0.112332
Lilco	0.112168
Eurotunnel	0.111042
"National Grid"	0.110921
Asda	0.110494
"RJR Nabisco"	0.1099
"Time Warner"	0.109425
Omnipoint	0.109272
BankAmerica	0.10893
Italia	0.108732
Sibneft	0.108528
LTCB	0.107888
VICKERS	0.107047
Hoechst	0.106565
"Computer Associates"	0.106299
"HBO &AMP; Co."	0.106299
Genzyme	0.106209
Mobil	0.105971
Cendant	0.105938
Honeywell	0.105753
PLDT	0.10569
"Bay Networks"	0.105378
"Bausch &AMP; Lomb"	0.104083
TELLABS	0.103982
Genentech	0.103768
Fingerhut	0.103731
AMP	0.103599
SDL	0.103547
Daimler	0.103218
TYCO	0.103084
BankBoston	0.103039
Chris-Craft	0.101738
"America West"	0.101682
"P&AMP;G"	0.101388
Broadcast.com	0.10074
Totalfina	0.100431
"Sprint Corp."	0.100295
AutoNation	0.100132
"Global Crossing"	0.100087
"BP Amoco"	0.0991525
"US Airways"	0.0985768
WebMD	0.0985673
NTL	0.0985506
Exxon	0.0984604
"MediaOne Group"	0.098385
"Nippon Credit"	0.0982899
Texaco	0.0980357
Telefonica	0.0976662
XYLAN	0.0975645
BofA	0.0973566
Ameritech	0.0971812
"Berkshire Hathaway"	0.0971493
Pairgain	0.0969743
AHP	0.0967949
Glaxo	0.0967528
Norwest	0.0965994
"Rite Aid"	0.0964392
AMR	0.0964228
GeoCities	0.0963944
Halliburton	0.0961407
NORTHROP	0.0960696
HBOC	0.0960104
SBC	0.0959596
Livent	0.0959367
Amgen	0.0959314
"American Home"	0.0957916
Viag	0.0956533
Marketspan	0.0955338
"KCP&AMP;L"	0.0949888
Astra	0.0943624
"Chronicle Publishing"	0.0943471
sandpiper	0.0940361
"Con Ed"	0.0937738
WorldCom	0.093675
Vodafone	0.0935412
Reynolds	0.092738
Starwood	0.092679
EarthLink	0.0925994
Alcoa	0.0916877
MCI	0.0915884
Bridgestone	0.0912112
Federated	0.0911362
"Deutsche Telekom"	0.0903842
"Adobe Systems"	0.0901035
MetLife	0.0900921
Amoco	0.0897259
"American Home Products"	0.0895827
ExciteAtHome	0.0894441
Corning	0.0891335
Chiron	0.0891269
Mattel	0.0885895
Comcast	0.0873251
Seagate	0.0871395
NASD	0.0868432
GPU	0.0864784
Daimler-Benz	0.0864602
"Chrysler Corp."	0.0864019
JAL	0.0860888
Checkfree	0.0860875
Nextel	0.0860169
ITT	0.0859669
"Credit Suisse"	0.0856806
"International Paper"	0.0850365
Dexter	0.0848746
AlliedSignal	0.0847789
Publicis	0.0847232
"Canal Plus"	0.0845887
"Coca-Cola Enterprises"	0.0845162
"BankAmerica Corp."	0.08416
Hasbro	0.0841458
"Food Lion"	0.0834619
Dresdner	0.0834382
EOHR	0.0833452
Lockheed	0.082718
Olivetti	0.0827115
Monsanto	0.0826246
REVLON	0.0825678
Unilever	0.0824878
Nortel	0.0824802
"Wells Fargo"	0.0822537
MiniMed	0.081926
Gazprom	0.0818526
"USA Networks"	0.0818352
Agilent	0.0817695
CMGI	0.0817115
"America West Airlines"	0.0816564
"Bank of Scotland"	0.0815755
"Bell Atlantic"	0.0815324
FPL	0.081416
"Sara Lee"	0.0813256
"Mobil Corp."	0.0807701
Viacom	0.0806994
Albertson's	0.0806381
))
(asbestos (desc 18748.2) (sims
tremolite	0.215347
arsenic	0.199661
dioxin	0.194943
pesticide	0.160678
PCBs	0.160015
vermiculite	0.146377
uranium	0.144988
chemical	0.141634
plutonium	0.133823
beryllium	0.133369
contaminant	0.132503
cadmium	0.131605
fiber	0.130939
toxin	0.130041
MTBE	0.127985
mercury	0.124118
bacteria	0.121597
"carbon monoxide"	0.118002
chromium	0.117835
radiation	0.117705
contamination	0.115865
Radon	0.115191
benzene	0.11508
chloride	0.114994
DDT	0.114577
talc	0.11372
ore	0.112518
dioxins	0.112323
cyanide	0.108276
salmonella	0.107437
listeria	0.106955
radioactivity	0.106478
metal	0.106363
pollutant	0.104784
coli	0.103164
mineral	0.100923
alcohol	0.0992457
substance	0.0990457
tobacco	0.096811
anthrax	0.0957462
chlorine	0.0951736
"toxic waste"	0.0938433
nicotine	0.0921327
dust	0.0918931
carcinogen	0.0908857
waste	0.0906806
"hydrogen sulfide"	0.0902661
hormone	0.0901271
virus	0.088585
Copper	0.0885733
pollution	0.0881228
pollen	0.0880824
Zinc	0.0879489
germ	0.0869413
"breast implant"	0.0846764
manganese	0.083964
nitrogen	0.0826574
additive	0.0824663
"carbon dioxide"	0.0820427
"iron ore"	0.0818651
PCB	0.0815112
poison	0.0809642
Coal	0.0803703
"nerve gas"	0.0801787
ozone	0.0799296
tritium	0.0797898
Zonolite	0.079505
"land mine"	0.0790273
CFCs	0.0786938
solvent	0.0786135
gas	0.0782235
sulfur	0.077564
fume	0.077136
particle	0.0768476
silica	0.0759522
"air pollution"	0.0759189
cellulose	0.0757951
protein	0.0755255
explosive	0.075509
herbicide	0.0751601
aluminum	0.0751563
parasite	0.0751407
residue	0.075123
material	0.0742172
drug	0.0741306
fertilizer	0.0738031
cocaine	0.0735808
HIV	0.0726145
soot	0.0723203
caffeine	0.0722281
fungus	0.0717062
bauxite	0.0711842
implant	0.0705153
EPO	0.0703618
carbon	0.0699326
allergen	0.0698642
hydrocarbon	0.0692621
GHB	0.0691961
smog	0.0687085
"explosive device"	0.0686876
organism	0.0686179
emission	0.0685543
smoking	0.0684685
pathogen	0.0683797
steel	0.0683184
steroid	0.0680505
sisal	0.0680479
spore	0.0680082
particulates	0.0679776
"chemical compound"	0.0679759
poultry	0.0679283
insecticide	0.0679199
leakage	0.0675371
ephedrine	0.0674163
microbe	0.0674143
cement	0.0672196
firearm	0.0671399
insulation	0.0669911
smoke	0.0664817
andro	0.0661759
lumber	0.0660298
gemstone	0.06602
acid	0.0659979
plastic	0.0659858
bacterium	0.0659659
cobalt	0.0651575
fluoride	0.0650224
marijuana	0.0644978
ammonia	0.0642032
impurity	0.0641125
oil	0.0640409
oxygen	0.0640227
"lung cancer"	0.0638686
timber	0.0636743
silicone	0.0636356
exposure	0.0635043
cigarette	0.0633172
tar	0.0632871
debris	0.0631597
vapor	0.0631009
spill	0.0630657
Sewage	0.0630282
landmines	0.0629575
"growth hormone"	0.0623484
"lead poisoning"	0.0619129
vinyl	0.061895
methane	0.0617549
"air bag"	0.0614747
phosphate	0.0614452
Sarin	0.0614444
capsaicin	0.0614021
microorganism	0.0609912
"alcoholic beverage"	0.060907
olestra	0.0608278
"specialty chemical"	0.0608033
preservative	0.0606817
cryptosporidium	0.0606639
"West Nile"	0.0606372
munition	0.0601774
poisoning	0.0601602
sugar	0.0601438
"AIDS virus"	0.0599969
petroleum	0.0599108
methanol	0.0598239
"cashew nut"	0.0597856
mutation	0.0596981
urea	0.0593679
bug	0.0591516
disease	0.0591095
pornography	0.0587571
"vitamin C"	0.0587467
moisture	0.05871
estrogen	0.0584841
diamond	0.0583493
VX	0.0581757
fungicide	0.0580031
Vaccine	0.0579624
testosterone	0.0579446
nandrolone	0.0578828
cholesterol	0.0578333
"raw material"	0.0577969
"free radical"	0.057514
"sexual harassment"	0.0573064
resin	0.0572756
cotton	0.0571739
pigment	0.0567189
vitamin	0.0566486
malaria	0.0564911
"precious metal"	0.0562198
antibody	0.0561994
infection	0.0561756
dioxide	0.0560793
cancer	0.055941
radium	0.0558909
leak	0.0557238
PVC	0.0556964
"ultraviolet radiation"	0.0556123
"chemical agent"	0.0556068
powder	0.0555048
beef	0.055333
))
(ascend (desc 2172.53) (sims
TELLABS	0.282331
ALZA	0.280445
Ciena	0.26544
Petrofina	0.229794
Nortel	0.222133
"U.S. Trust"	0.216772
XYLAN	0.210552
COLTEC	0.207639
SmithKline	0.207437
Comsat	0.193845
Cerent	0.193557
TYCO	0.191237
"Y&AMP;R"	0.190223
"Times Mirror"	0.186112
McKesson	0.1844
WPP	0.184047
Emulex	0.183694
"Learning Co."	0.182365
SkyTel	0.180542
Bestfoods	0.177948
"Nippon Credit"	0.177682
Litton	0.176911
"Northern Telecom"	0.176692
"Bay Networks"	0.173891
RJR	0.172633
ARCO	0.171779
"Pacific Century"	0.170709
VoiceStream	0.170507
"Niagara Mohawk"	0.169155
SDL	0.168822
MiniMed	0.167042
"Fred Meyer"	0.166579
NatWest	0.165844
Broadcast.com	0.165706
"RJR Nabisco"	0.165004
Infoseek	0.164245
Healtheon	0.162876
Broderbund	0.16126
Nabisco	0.161108
Fingerhut	0.157637
"Boston Scientific"	0.157323
"Thermo Electron"	0.156232
Pairgain	0.15614
EMC	0.156078
"Bankers Trust Corp."	0.1553
AMR	0.15373
Airtouch	0.152889
Avondale	0.152362
"HBO &AMP; Co."	0.151518
NCR	0.151208
Warner-Lambert	0.150194
Cisco	0.150078
Federated	0.149976
Starwood	0.149012
TCI	0.146982
Terra	0.146814
Chiron	0.145604
Seagram	0.145362
BankBoston	0.145145
Mannesmann	0.145012
Genzyme	0.143149
Cendant	0.143131
BCE	0.142727
Amoco	0.142281
"Atlantic Richfield"	0.142024
GTE	0.141635
Norwest	0.141624
Glaxo	0.141593
GANNETT	0.139914
Transamerica	0.139814
Lucent	0.139755
PLDT	0.139722
Alltel	0.139334
"Atlantic Richfield Co."	0.138979
"Bankers Trust"	0.138443
"P&AMP;G"	0.137871
Ameritech	0.137549
"Global Crossing"	0.13704
"National Grid"	0.136754
NiSource	0.136138
Asarco	0.134534
BankAmerica	0.134392
"Mobil Corp."	0.133864
Healtheon/WebMD	0.133163
Qualcomm	0.133158
GeoCities	0.132282
Cadbury	0.130977
Alcan	0.130664
"Times Co."	0.129967
Paribas	0.129928
"U S West"	0.129351
"Times Mirror Co."	0.128875
Stratus	0.128853
Qwest	0.127273
Daimler	0.127241
PolyGram	0.12721
CCE	0.126688
"Newport News"	0.126326
Aegon	0.126156
Sunbeam	0.125694
UAL	0.125318
Conseco	0.125279
"Bausch &AMP; Lomb"	0.124066
"Rite Aid"	0.124023
Astra	0.123742
Broadcom	0.123619
"Cadbury Schweppes"	0.123379
Warnaco	0.123214
Equifax	0.1226
"Ameritech Corp."	0.12254
"Berkshire Hathaway"	0.122395
E-LOAN	0.12222
Cabletron	0.122001
Amgen	0.121477
Tenneco	0.121369
Medtronic	0.120729
Pitney	0.120716
"Telecom Italia"	0.120662
Mobil	0.120523
NTL	0.120092
Lycos	0.119776
ENTERGY	0.11951
Berkshire	0.119477
Honeywell	0.11905
VENATOR	0.118824
"US Airways"	0.118699
HBOC	0.118699
"BankBoston Corp."	0.11823
"Nortel Networks"	0.118185
"Air Canada"	0.117221
Vivendi	0.116912
HP	0.116885
Kroger	0.116126
"Learning Company"	0.116078
Saks	0.116017
Checkfree	0.115741
"Royal Bank"	0.115726
"Northeast Utilities"	0.1157
"Digital Equipment"	0.115639
Asda	0.115291
CMGI	0.115257
WorldCom	0.115236
Clorox	0.114916
SBC	0.114681
Aetna	0.114672
"Wells Fargo"	0.114671
NORTHROP	0.11462
"Digital Equipment Corp."	0.113978
"Chrysler Corp."	0.113666
AutoNation	0.113596
Seagate	0.113504
Viacom	0.113385
Scania	0.113285
Mediaone	0.112895
Monsanto	0.112851
Omnicom	0.11259
Danka	0.112536
Compaq	0.11252
Netcom	0.11243
Gilead	0.112372
"Stride Rite"	0.112359
"Advanced Micro"	0.11173
ExciteAtHome	0.111471
"MCI WorldCom"	0.110949
Corel	0.110723
"First Union"	0.110711
REVLON	0.110398
Agilent	0.110286
Weyerhaeuser	0.11027
"Phelps Dodge"	0.109991
AMD	0.109587
EarthLink	0.109554
Pharmacia	0.109471
Mattel	0.109461
CNET	0.10921
LTCB	0.108918
"CBS Corp."	0.108821
Webvan	0.108398
"American Home"	0.108012
Inktomi	0.107927
"KCP&AMP;L"	0.107773
PaineWebber	0.10769
BofA	0.107607
"Lycos Inc."	0.10727
YPF	0.107195
ENTREMED	0.107073
"J&AMP;J"	0.106947
Conrail	0.106906
Genentech	0.106571
Alcatel	0.106407
"Union Carbide"	0.106043
"Hambrecht &AMP; Quist"	0.105488
MACROMEDIA	0.105416
Orangina	0.105044
PRIMESTAR	0.104598
Nextel	0.104563
Halliburton	0.104456
Zapata	0.104428
"Waste Management"	0.104387
Biogen	0.104195
Vodafone	0.104028
AlliedSignal	0.103788
MCI	0.103439
Hasbro	0.103438
"Burlington Northern"	0.103251
AMP	0.102741
Pinkerton	0.102702
Delphi	0.102207
ITT	0.10188
Georgia-Pacific	0.101621
Gillette	0.101611
"Lotus Development Corp."	0.101385
Maytag	0.101374
"Computer Associates"	0.101196
"Sara Lee"	0.100844
Exxon	0.100747
"True North"	0.100737
CDnow	0.100715
"America West"	0.100695
"Sprint Corp."	0.100071
))
(ascendance (desc 2212.67) (sims
ascension	0.069826
ascendancy	0.0616082
ascent	0.0606026
pervasiveness	0.0569534
concertmaster	0.0560381
"Wide World"	0.0525483
Vocation	0.0516281
distinctiveness	0.0507314
remaking	0.0477703
denouement	0.0446455
Aristide	0.0442705
"melting pot"	0.0429127
"golden rule"	0.042827
coronation	0.0423306
apotheosis	0.0411721
"bright side"	0.0405057
privation	0.0404277
))
(ascendancy (desc 5453.24) (sims
ascension	0.0980843
"rise to power"	0.0937938
emergence	0.0620952
ascendance	0.0616082
preeminence	0.0548544
resurgence	0.0546868
"market correction"	0.0532929
thaw	0.0521736
cross-fertilization	0.0517638
ascent	0.0517514
dominance	0.0512165
"leadership position"	0.0500817
prominence	0.0489553
potency	0.0487001
"fishing season"	0.048436
demise	0.0483919
predominance	0.047743
exigency	0.0471271
tumult	0.0452901
primacy	0.0443307
deceleration	0.0434881
polarization	0.0427723
capitulation	0.0427705
rebirth	0.0413595
escalation	0.0411667
disintegration	0.0411487
Convergence	0.0410588
downfall	0.0410556
"shipbuilding industry"	0.0410438
reappearance	0.0409956
Openness	0.0409846
upheaval	0.0409276
isolationism	0.0403926
resurrection	0.0403343
))
(ascension (desc 11595.6) (sims
ascent	0.113353
ascendancy	0.0980843
"rise to power"	0.074664
ascendance	0.069826
accession	0.0673198
Nativity	0.0660771
resurrection	0.0650217
coronation	0.0642148
demise	0.0625782
emergence	0.0571133
incorporation	0.0566491
succession	0.0564347
transformation	0.0549983
elevation	0.0542669
Crucifixion	0.051986
downfall	0.0519177
upsurge	0.0510187
resignation	0.050724
stayaway	0.0499759
sacking	0.0499376
resurgence	0.0495705
demotion	0.0492157
appointment	0.0491024
departure	0.0490217
"market correction"	0.0488107
thaw	0.0486893
"laying claim"	0.0485448
reversal	0.0466627
admittance	0.0463141
"turn of events"	0.045824
candidacy	0.0451514
turnabout	0.0449841
shakeup	0.0446225
"cold spell"	0.04461
turnaround	0.0442636
defection	0.044062
disappearance	0.0427444
baptism	0.0425896
"heir apparent"	0.0425645
advent	0.0424699
nationalization	0.0419493
heir	0.0412814
ouster	0.0411677
naming	0.041126
resumption	0.041002
Pretender	0.0407546
exodus	0.0407332
downslide	0.0405549
restoration	0.0405238
"surprise resignation"	0.0402911
handover	0.0401974
))
(ascent (desc 17978.3) (sims
climb	0.154134
ascension	0.113353
descent	0.0749321
"rise to power"	0.0636462
NiSource	0.0628732
ascendance	0.0606026
journey	0.0596999
Voyage	0.0593201
recovery	0.0580375
trek	0.0577144
dive	0.0566663
turnaround	0.0565608
uptrend	0.0551647
downslide	0.0551486
upturn	0.0547432
circumnavigation	0.0547408
gyration	0.0539846
comeback	0.0527128
transition	0.0521698
ascendancy	0.0517514
elevation	0.0514749
resurgence	0.0509319
turnabout	0.050483
selloff	0.0503927
downtrend	0.0499824
path	0.0499168
hike	0.0497352
depreciation	0.0496696
demise	0.0471512
transformation	0.047035
downdraft	0.0466742
"Bull Run"	0.0464781
"nose dive"	0.0451556
run-up	0.0450989
runup	0.0448664
emergence	0.0447496
sell-off	0.0447069
drop-off	0.0445785
swoon	0.0444154
upsurge	0.0439404
reversal	0.0432993
climber	0.043116
exodus	0.0428969
spurt	0.0424034
u-turn	0.0424023
progression	0.0421824
disintegration	0.0421025
foray	0.0417291
conquest	0.0413872
reentry	0.0412485
expedition	0.0411566
resurrection	0.0409381
spiral	0.0407532
downfall	0.0407394
rollout	0.0406182
maturation	0.0405895
"flight path"	0.040136
downturn	0.04005
))
(ascot (desc 1057.41) (sims
"rubber boot"	0.162412
trouser	0.115905
"cowboy hat"	0.110323
slack	0.107477
"black tie"	0.106675
bluejeans	0.106477
turtleneck	0.105417
windbreaker	0.10296
"bow tie"	0.100766
"dark glasses"	0.0990385
hairpiece	0.097278
necktie	0.0954151
khaki	0.0949055
kilt	0.0926682
"dress shirt"	0.0904384
"name tag"	0.0888058
"straw hat"	0.0879597
Suburbans	0.0869304
loincloth	0.0852519
bandana	0.0847126
waistcoat	0.0830167
"bowler hat"	0.0829446
bustier	0.079111
raincoat	0.0782683
miniskirts	0.0777301
"leather jacket"	0.0774677
knickers	0.0768927
"sports jacket"	0.0765464
"polo shirt"	0.0757657
sarong	0.0756924
mitten	0.0755875
bandanna	0.0753864
blackface	0.075171
nightgown	0.0748755
halter	0.0735048
"business suit"	0.0734039
caftan	0.0714658
fedora	0.0713954
parka	0.0713593
Pantsuits	0.0702386
"top hat"	0.068936
loafer	0.0683272
"sweat pants"	0.0666554
"engagement ring"	0.0653227
"dark blue"	0.0651415
cardigan	0.0649981
flannel	0.0644289
turban	0.0634034
"baseball cap"	0.0633584
sweatshirt	0.063002
suspender	0.0619588
pantyhose	0.0618261
"fur coat"	0.0617467
beret	0.0616263
pullover	0.0615774
smock	0.0612761
"blue jean"	0.06077
"cocktail dress"	0.0598459
"felt hat"	0.0595436
"belt buckle"	0.0586911
"prayer shawl"	0.0582139
sheath	0.0578091
blinker	0.0576676
"cowboy boot"	0.0575379
shamrock	0.056571
yarmulke	0.0563461
"evening gown"	0.0560189
"face mask"	0.0554372
Chino	0.0548495
goatee	0.0547579
girdle	0.0545921
"evening dress"	0.0539757
"ski mask"	0.0538593
shawl	0.0534574
whisker	0.0524919
armband	0.0519936
"royal blue"	0.0519829
earpiece	0.0514489
"bird of prey"	0.0512457
dreadlocks	0.05094
"key ring"	0.0505905
jumpsuit	0.0505632
skullcap	0.0504809
leotards	0.0503207
"wedding ring"	0.0502875
"stiletto heel"	0.0498753
eyelash	0.0489992
"bar mitzvah"	0.0489113
"bulletproof vest"	0.0485903
sideburn	0.0480453
bellbottoms	0.0479628
tunic	0.0473782
"tennis shoe"	0.0471326
Poncho	0.0468499
Fez	0.0466377
"drilling rig"	0.0461316
cleat	0.0460849
scuba	0.0460769
"wedding gown"	0.0458157
"U.S. Opens"	0.0456136
corduroy	0.0450565
undershirt	0.0449033
add-on	0.0447619
"feather boa"	0.0447057
snorkel	0.0442113
"neck brace"	0.0436657
wristband	0.0431898
hemline	0.0431756
headgear	0.0431116
wader	0.0428067
"six kilometers"	0.0426368
two-by-four	0.042486
tiara	0.0422045
capris	0.042038
frock	0.0419763
Calder	0.0418823
coverall	0.0418652
"Le Bernardin"	0.0418204
neckline	0.0417644
handkerchief	0.0417039
"black belt"	0.0415023
"Dolce &AMP; Gabbana"	0.0411018
"Fair Grounds"	0.0407967
"wedding reception"	0.0406582
earplugs	0.0406162
"Howdy Doody"	0.0405672
))
(Asda (desc 1241.91) (sims
AutoNation	0.220724
"Fred Meyer"	0.212773
XYLAN	0.209466
COLTEC	0.190817
Tandy	0.186786
"Rite Aid"	0.181489
Gymboree	0.180085
VENATOR	0.170727
NatWest	0.168889
"Thermo Electron"	0.167343
Caldor	0.166656
RJR	0.166409
Stratus	0.161421
Safeway	0.158468
Transamerica	0.157679
Emulex	0.149823
ALZA	0.148819
"Dayton Hudson"	0.147061
"Times Mirror"	0.143021
Petrofina	0.142639
Ciena	0.142523
Cadbury	0.14136
NiSource	0.139765
"KCP&AMP;L"	0.139725
"Krispy Kreme"	0.139375
F.A	0.138514
Penney	0.138108
"Gap Inc."	0.136414
"Best Buy"	0.135861
Carrefour	0.13562
HomeGrocer.com	0.135029
Ahold	0.134737
ACB	0.134619
"Brooks Brothers"	0.134493
"Atlantic Richfield"	0.132467
Starwood	0.132099
SDL	0.130552
"P&AMP;G"	0.130455
NORTHROP	0.129819
Weyerhaeuser	0.128741
Zapata	0.128126
WPP	0.128067
MACROMEDIA	0.126236
"Stride Rite"	0.125596
Woolworth	0.12547
Deutsche	0.124785
Cabletron	0.124781
Northpoint	0.123708
"Waste Management"	0.123636
"Knight Ridder"	0.122946
Fingerhut	0.122715
Ikea	0.122574
BCE	0.121808
Chiron	0.121552
TYCO	0.121358
Saks	0.119873
E-LOAN	0.118902
SmithKline	0.118676
MiniMed	0.118565
Tenneco	0.118509
NTL	0.118172
Bestfoods	0.117779
Autodesk	0.117589
"Food Lion"	0.116067
CompUSA	0.11588
UBS	0.115662
McKesson	0.115398
Biogen	0.114863
"Times Co."	0.114821
Seagram	0.114771
SAA	0.114529
Broderbund	0.114011
Medtronic	0.113773
ENTERGY	0.113315
CCE	0.113057
"Sharper Image"	0.112885
"Barnes &AMP; Noble"	0.112649
Dresdner	0.112234
"Phelps Dodge"	0.112108
"Bank of Scotland"	0.111916
Albertson's	0.111899
Checkfree	0.111662
"U.S. Trust"	0.111576
Norwest	0.11074
Viag	0.110705
Asarco	0.110494
Wada	0.110035
Mannesmann	0.108861
PEOPLESOFT	0.106907
"Hongkong Telecom"	0.106704
"Air Canada"	0.106624
"Bay Networks"	0.106122
Warnaco	0.10601
Williams-Sonoma	0.10593
Hoechst	0.105871
ExciteAtHome	0.105389
Healtheon	0.105109
"National Grid"	0.105099
"Toys R Us"	0.105059
SGI	0.104977
WELLPOINT	0.104922
"Whole Foods"	0.104573
YPF	0.104154
Pairgain	0.103955
Ameritech	0.10389
TKT	0.103811
Airtouch	0.103565
Gillette	0.102815
Warner-Lambert	0.102585
BofA	0.102288
Daimler	0.101473
Walmart	0.101209
Terra	0.101141
UAM	0.101121
VICKERS	0.101071
"Nippon Credit"	0.100841
Humana	0.100303
Ansett	0.100201
Gilead	0.0993837
GTE	0.0986745
Kroger	0.0982127
Starbucks	0.0981566
BankAmerica	0.0980115
Viacom	0.0975906
Aetna	0.0974389
Tropicana	0.097388
Cathay	0.0973614
TELLABS	0.0969236
Ba	0.096921
SkyTel	0.0969099
Mervyn	0.0967853
"Telecom Italia"	0.0967385
Eurotunnel	0.0964317
Bulog	0.0962876
CMGI	0.0961788
"RJR Nabisco"	0.0961421
"Pacific Century"	0.0960656
"Bausch &AMP; Lomb"	0.0959799
Broadcom	0.0959559
Scania	0.0959132
BankBoston	0.0956887
AMC	0.0956585
Sunbeam	0.0954967
"U S West"	0.0952324
Incyte	0.0951099
ARCO	0.0950866
SAirGroup	0.0949888
Staples	0.0944462
FPL	0.0943672
Cerent	0.0941555
Qwest	0.0939849
Georgia-Pacific	0.0938762
Conseco	0.0938174
Genentech	0.0937051
"Australian Cricket Board"	0.0936374
"Northeast Utilities"	0.0935942
Barclays	0.0933739
Alcatel	0.0933386
EMC	0.0932112
Genzyme	0.0932012
"BP Amoco"	0.0926349
"Advanced Micro"	0.0924666
"Union Carbide"	0.0919513
Clorox	0.0917965
Vivendi	0.0917711
Totalfina	0.0911883
Federated	0.09093
EarthLink	0.090913
USEC	0.0906204
Infoseek	0.0900794
Alcan	0.0899915
ICI	0.0899183
Pepsico	0.0898112
Unicom	0.089598
VoiceStream	0.0895055
UAL	0.0893336
"True North"	0.0891535
LIFFE	0.0891343
Kellogg	0.0890678
Echostar	0.0890195
Alltel	0.0885354
"First Union"	0.0884401
"Radio Shack"	0.0883195
Honeywell	0.0882571
"Boston Scientific"	0.0881443
AMR	0.0880409
ATA	0.0878726
Harcourt	0.0875809
"Con Ed"	0.0872931
REI	0.0871647
IAI	0.0870321
Amgen	0.087014
Novell	0.0868294
Nortel	0.0867592
Nabisco	0.0867303
Lockheed	0.0866763
HP	0.0863788
Healtheon/WebMD	0.0862886
Walgreens	0.0860869
Bae	0.0855223
))
(ASEAN (desc 51070.4) (sims
"Association of Southeast Asian Nations"	0.282309
APEC	0.204977
SAARC	0.183804
EU	0.177667
SADC	0.163529
Mercosur	0.159209
"European Union"	0.158391
grouping	0.158298
COMESA	0.150355
"Rio Group"	0.143298
OAU	0.140444
ASEM	0.138807
G-@@	0.138309
GCC	0.135571
ARF	0.127473
G-@	0.126302
WTO	0.126189
Myanmar	0.125949
OIC	0.123575
"Asia-Pacific Economic Cooperation"	0.123093
Malaysia	0.121895
"Asian country"	0.121591
"Southern African Development Community"	0.120332
"ASEAN Regional Forum"	0.118668
NATO	0.118317
bloc	0.116962
"Commonwealth of Independent States"	0.116179
"Asia Pacific Economic Cooperation"	0.115952
"Asian nation"	0.114364
WEU	0.114142
Thailand	0.113929
OECD	0.11359
"member country"	0.111646
China	0.111408
"South Asian Association for Regional Cooperation"	0.110889
Singapore	0.110865
Ci	0.10901
ECOWAS	0.108805
"United Nations"	0.108803
ROK	0.108678
"Arab League"	0.108455
OPEC	0.108292
country	0.108144
Cambodia	0.108073
"North Atlantic Treaty Organization"	0.107429
UN	0.107413
"African country"	0.106943
IGAD	0.106378
"World Trade Organization"	0.106089
Bangladesh	0.106016
"East Asia"	0.105989
"Non-Aligned Movement"	0.105732
"Group of @@"	0.10506
Indonesia	0.104138
"European country"	0.104002
eco	0.103909
"Southeast Asia"	0.103492
Africa	0.103464
Asia	0.103362
U.N.	0.102856
"Group of Seven"	0.100896
commonwealth	0.100567
OSCE	0.100333
"Gulf Cooperation Council"	0.0997154
"Caribbean Community"	0.0989595
"Contact Group"	0.0988852
"Hong Kong"	0.0985643
Pakistan	0.0979479
"international organization"	0.097786
Asia-Pacific	0.0956544
Nepal	0.0942113
Vietnam	0.0931632
CPC	0.0930504
Russia	0.0926154
nation	0.0923346
Egypt	0.0923297
"Group of Eight"	0.0920768
organization	0.0917656
Mongolia	0.0916199
Philippines	0.0913948
Europe	0.0913922
"Latin America"	0.0910677
"Andean Community"	0.091009
"Republic of Korea"	0.0907127
Laos	0.0904494
"Asia-Europe Meeting"	0.0903519
ADB	0.0900059
India	0.089844
"South Asia"	0.0889867
Japan	0.0887877
ESCAP	0.0887084
EAC	0.0885392
Tanzania	0.0884092
Alliance	0.0879728
forum	0.087744
government	0.0866169
NAM	0.0851653
IPU	0.0848749
"World Bank"	0.083863
Macao	0.0834188
Taiwan	0.0828448
"Latin American"	0.0815884
"United States"	0.0814585
Council	0.0812364
DPRK	0.0811031
U.S.	0.0810936
region	0.0810429
"Organization of Petroleum Exporting Countries"	0.0810338
Brunei	0.0806647
"Council of Europe"	0.0803847
"South Africa"	0.0803632
ACP	0.0803467
"European nation"	0.0803301
"Sri Lanka"	0.0801248
"South Korea"	0.0799967
"Security Council"	0.079953
"Organization of African Unity"	0.0798193
"European Community"	0.0797453
Kazakhstan	0.0791599
Iran	0.0789824
"Common Market for Eastern and Southern Africa"	0.0789704
"Southern Common Market"	0.0786384
community	0.078588
Zambia	0.0785447
UK	0.0785074
"ASEAN Ministerial Meeting"	0.0784677
Israel	0.0784165
IMF	0.0780371
Turkey	0.077926
Ukraine	0.0777431
UAE	0.0773366
mainland	0.0771987
Nigeria	0.0771829
continent	0.0771486
sub-region	0.0769406
Lao	0.0764225
Australia	0.0760873
Arab	0.0760163
sector	0.0759646
"Saudi Arabia"	0.075818
UPU	0.0757755
Romania	0.0755528
"Middle East"	0.0754814
"New Zealand"	0.0749278
party	0.0749264
"Southeast Asian"	0.0748333
E.U	0.0746741
"Economic Community of West African States"	0.0746313
"world economy"	0.0744376
cooperation	0.0743618
NPC	0.0735494
Kenya	0.0729702
"East African Cooperation"	0.072839
Cyprus	0.0728021
"Viet Nam"	0.07261
Britain	0.0724929
Bulgaria	0.0723781
economy	0.0723566
Mozambique	0.0723448
summit	0.0719214
committee	0.0718648
EC	0.0717418
"Balkan country"	0.0713069
G@	0.07113
HK	0.0709216
"Central American country"	0.0708671
Yemen	0.0705456
union	0.0704232
"working group"	0.0702475
"United Kingdom"	0.0700685
Kyrgyzstan	0.0697885
society	0.0697873
institution	0.0694394
Barak	0.0692793
Ethiopia	0.0692297
"member nation"	0.0691762
"Economic Community"	0.06913
UNCTAD	0.0690874
Syria	0.0688963
industry	0.0686798
IOC	0.0686242
"U.N. Security Council"	0.0686076
Zimbabwe	0.0686038
Poland	0.0682834
"Western Europe"	0.0679989
"Pacific Rim"	0.0677259
partnership	0.0674396
"Chinese Communist Party"	0.0671507
"Chinese government"	0.0671467
PNA	0.0670722
"Papua New Guinea"	0.0669574
ministry	0.0667382
Mexico	0.0664899
PNG	0.0661822
Hungary	0.0659992
Uganda	0.0658543
European	0.0658053
Asian	0.0657759
Peru	0.0657615
"European Monetary Union"	0.0656134
))
("ASEAN Free Trade Area" (desc 3729) (sims
AFTA	0.327962
"Free Trade Area"	0.157268
FTAA	0.13917
"African Economic Community"	0.133978
"customs union"	0.117018
"Lusaka Protocol"	0.106483
"ASEAN Regional Forum"	0.0992139
"General Agreement on Tariffs and Trade"	0.0970728
"Asia-Europe Meeting"	0.0912766
"international criminal court"	0.0857333
FTA	0.0829877
"Uruguay Round"	0.0818123
"African Union"	0.0812561
"European Monetary Union"	0.081185
ARF	0.0811653
"World Trade Organization"	0.0807207
"North American Free Trade Agreement"	0.0803898
"Asia-Pacific Economic Cooperation"	0.0790765
APEC	0.0780195
"United Nations Convention"	0.0763133
"Lusaka Peace Accord"	0.0756883
"Stability Pact"	0.0746982
"East African Community"	0.0708773
EPZ	0.0704184
"U.N. Security Council Resolution @@@"	0.0684555
"Chemical Weapons Convention"	0.0679914
Liberalization	0.0661188
"U.N. Resolution @@@"	0.0660846
"free trade"	0.065604
"Beijing Declaration"	0.0649697
"Association of Southeast Asian Nations"	0.0643326
"Plan Colombia"	0.0634071
oil-for-food	0.0625592
"Nationality Law"	0.0612014
NPT	0.060906
Sharia	0.0608042
"Vision @@@@"	0.0593404
"one billion US dollars"	0.0588474
EAC	0.0586321
"Economic and Monetary Union"	0.0585874
"League of Nations"	0.0584165
GATT	0.0582675
ASEM	0.0576921
Ita	0.0575129
"barrels per day"	0.0571024
"market economy"	0.0568411
convertibility	0.0563439
"land reform"	0.0563157
"Free Trade Agreement"	0.0562259
IGAD	0.0561754
"monitoring program"	0.0559475
"credit system"	0.0557541
"Resolution @@@"	0.0555279
"National Economic"	0.0553424
"early warning system"	0.0551539
macro-economy	0.0548447
modernization	0.0541103
"Nuclear Non-Proliferation Treaty"	0.0534895
"value added tax"	0.0532167
"Kyoto Protocol"	0.0526876
"Organization for Economic Cooperation and Development"	0.0524119
"Macao International Airport"	0.0518808
"Market system"	0.051872
"one billion dollars"	0.0514387
"pilot program"	0.0511471
joint-ventures	0.0509424
computerization	0.0503752
"START II"	0.0500174
"development strategy"	0.0499476
NAFTA	0.0498076
"Sino-Portuguese Joint Declaration"	0.0492222
stayaway	0.0485996
recapitalization	0.0483802
"U.N. Convention"	0.0483064
stabilization	0.0478132
eventuality	0.047753
CRC	0.0475641
EMU	0.0473925
deregulation	0.0471401
"World Intellectual Property Organization"	0.0463282
CWC	0.0461951
Mercosur	0.0457297
pullout	0.0457226
self-rule	0.0453713
"electoral system"	0.0452743
COMESA	0.0450241
poliomyelitis	0.0449435
"Oslo Accords"	0.0448192
AEC	0.0448038
"trade agreement"	0.044757
"Joint Military Commission"	0.0446284
"Beijing-Kowloon Railway"	0.0446169
damming	0.0445571
"education program"	0.0441695
"surveillance system"	0.0441341
"policy change"	0.0439157
"Fourth World Conference"	0.0438784
"military drill"	0.0436688
"Lahore Declaration"	0.0435318
"educational activity"	0.0434023
"Erie Canal"	0.0433895
"ASEAN Ministerial Meeting"	0.0432124
MSC	0.0431664
"Ministerial Conference"	0.0431388
"Sino-British Joint Declaration"	0.042918
Ulema	0.0429165
Wye	0.0428346
eco	0.0428287
"development plan"	0.0428142
divestiture	0.0427941
"Ninth Five-Year Plan"	0.0426433
"East African Cooperation"	0.0425661
Systems	0.0422904
"Montreal Protocol"	0.0422843
"monetary system"	0.0422692
SAARC	0.0422172
rectification	0.0418381
"secondary education"	0.0417919
"Resolution @@@@"	0.0415625
leprosy	0.0415237
harmonization	0.041512
"general agreement"	0.0414065
"Joint Declaration"	0.0408038
"International Tribunal"	0.0406587
"expansion plan"	0.0405416
databank	0.0405109
"market reform"	0.0404995
"bus route"	0.040414
"free zone"	0.0402717
protectorate	0.0400985
"executive program"	0.0400006
))
("ASEAN Ministerial Meeting" (desc 3060.82) (sims
AMM	0.412955
"Ministerial Meeting"	0.243637
"Ministerial Conference"	0.220099
"World Health Assembly"	0.212725
"International AIDS Conference"	0.173012
"Consultative Group"	0.171507
"Asia-Europe Meeting"	0.170286
"Annual Meeting"	0.167929
"World Petroleum Congress"	0.164329
"World Food Summit"	0.157169
"World Congress"	0.156433
"World Conference"	0.153884
"Fortune Global Forum"	0.153132
IGC	0.145585
"Infantry Battalion"	0.142212
"International Conference"	0.141263
"National Party Congress"	0.139095
ASEM	0.136909
"Asia-Pacific Economic Cooperation"	0.133036
"SEA Games"	0.132457
"International Symposium"	0.132279
"Special Session"	0.130093
"summit meeting"	0.126017
"wedding anniversary"	0.123805
"Southeast Asian Games"	0.122023
"United Nations Conference"	0.121403
"Fifth Session"	0.119866
"council meeting"	0.119624
"Summer Olympic Games"	0.119387
"Fourth Session"	0.118866
"International Congress"	0.118633
"South Summit"	0.116531
"ASEAN Regional Forum"	0.11611
"general assembly"	0.114728
"Second Session"	0.114688
ARF	0.114254
"CPC National Congress"	0.113806
UPC	0.113174
"Millennium Summit"	0.112285
"committee meeting"	0.112014
"World AIDS Conference"	0.111753
"National Congress"	0.110214
"First Session"	0.109093
"South Pacific Forum"	0.108918
"Third Session"	0.106198
"National Conference"	0.104931
"Millrose Games"	0.104474
"Commonwealth Games"	0.104079
"Winter Olympic Games"	0.103747
percentile	0.102738
"Plenary Session"	0.102655
Asiad	0.102594
"board meeting"	0.10035
"U.N. Conference"	0.0988724
plenum	0.0979645
"National Games"	0.0977136
"World Youth Games"	0.0969971
"Asia Pacific Economic Cooperation"	0.0962102
APEC	0.0958785
"Grammy Awards"	0.0955106
"U.N. Millennium Summit"	0.0953283
"World Environment Day"	0.0923094
Roundtable	0.0922038
mini-summit	0.0908235
"National Day"	0.0902331
"Commonwealth Ministerial Action Group"	0.0894994
"Eighth National Games"	0.0892277
"World University Games"	0.0870959
"Fourth World Conference"	0.0857272
"Emmy Awards"	0.0837148
"Earth Summit"	0.0835559
"Asian Cup"	0.0831267
"World Economic Forum"	0.081818
symposium	0.0812969
"African Cup"	0.0808434
"Asian Games"	0.0799523
"United Nations Conference on Trade and Development"	0.0793941
ASEAN	0.0784677
"Trade Fair"	0.0782616
"spelling bee"	0.0772991
"East Asian Games"	0.0771654
"Atlanta Olympic Games"	0.0769818
"Republican National Convention"	0.0764012
JLG	0.0762485
"Joint Military Commission"	0.0760857
"Inter-Governmental Authority on Development"	0.0759757
"World Table Tennis Championships"	0.0749544
"Group of Rio"	0.0745038
"Bangkok Asian Games"	0.0740902
telethon	0.0732224
"Arab Parliamentary Union"	0.0731406
"Third Plenary Session"	0.0730709
"major league season"	0.0727876
"Council of Ministers"	0.0723787
Paralympics	0.0716417
"Southeast Asian"	0.0712608
"Summer Olympics"	0.0710874
"basketball season"	0.0707242
"Olympic Games"	0.0704514
"Democratic National Convention"	0.0702419
"Winter Olympics"	0.0696024
"General Committee"	0.0694434
"Infantry Division"	0.0685207
Olympiad	0.0683174
"Thomas Cup"	0.0676045
"Association of Southeast Asian Nations"	0.0674109
by-elections	0.0670976
"three-day event"	0.0667168
"Non-Aligned Movement"	0.06611
taskforce	0.0657142
JMC	0.0652401
"High Commission"	0.0652205
Exposition	0.0650094
"World AIDS Day"	0.0647526
Universiade	0.0641753
"swim meet"	0.0640203
OIC	0.063907
gala	0.0638758
"Independence Day"	0.0638201
"military commission"	0.0636497
"Myanmar Embassy"	0.0634379
"state visit"	0.0632009
D-@	0.0631882
three-day	0.0631131
"Cannes Film Festival"	0.0627613
two-day	0.0625632
"garden party"	0.0623827
"National Convention"	0.0620022
"Central Organ"	0.0617877
double-double	0.0617049
"U.N. Human Rights Commission"	0.0613958
jubilee	0.0608011
"General Council"	0.0605909
convocation	0.0605161
"Fashion Week"	0.060402
SAARC	0.0603466
"Jerusalem Committee"	0.0602895
"Joint Liaison Group"	0.0601692
"Eighth NPC"	0.0594018
"academic year"	0.0591058
"open house"	0.0590048
"Brickyard @@@"	0.0589343
"All-Star Game"	0.0586876
"African Nations Cup"	0.0586451
"Group of Eight"	0.0583542
"Lunar New Year"	0.0583196
"Secretary General Esmat Abdul-Meguid"	0.0582758
"Pan American Games"	0.0579969
ESCAP	0.057902
"European Council"	0.0576951
"Olympic Winter Games"	0.0576106
"Lambeth Conference"	0.0574301
"Palestinian Council"	0.0573399
"Pan Am Games"	0.0573086
"birthday present"	0.0571969
al-Khatib	0.0569826
"Senate Banking Committee"	0.0568667
"Tony Awards"	0.0567141
"tea party"	0.0564848
"Sydney Olympic Games"	0.0564703
convening	0.0562046
NSC	0.0556865
"Senate Commerce Committee"	0.0553663
"station house"	0.0552106
Ruehe	0.0550498
"European Swimming Championships"	0.0549274
"House Banking Committee"	0.0549243
symposia	0.054894
"Secretary General Boutros Boutros-Ghali"	0.054655
"Senate Budget Committee"	0.0545865
"PGA Championship"	0.0544891
"Earth Day"	0.0543619
China-U.S.	0.0543205
"Human Rights Commission"	0.0541612
"National People's Congress"	0.0539534
Oktoberfest	0.0538974
powwow	0.0538238
"budget debate"	0.0537392
KPU	0.0535953
"Summer Games"	0.0533884
Pustovoitenko	0.053302
"House International Relations Committee"	0.0532839
UNCTAD	0.0532006
WHA	0.053131
"church service"	0.0529697
MPR	0.052934
"Economic and Social Council"	0.0526684
"Boutros Boutros Ghali"	0.0526247
"commencement ceremony"	0.0525806
"Academy Awards"	0.0525142
polling	0.05247
"Ninth NPC"	0.0522341
"Winter Games"	0.0521731
"Economic Cooperation Organization"	0.0521461
parley	0.0519707
confab	0.051955
"Inter-Parliamentary Union"	0.0519464
"Provisional Legislative Council"	0.0517304
CPLP	0.0516073
roadshow	0.0515079
))
("ASEAN Regional Forum" (desc 4731.22) (sims
ARF	0.321423
"Asia-Pacific Economic Cooperation"	0.222036
ASEM	0.20168
AMM	0.201236
"Asia Pacific Economic Cooperation"	0.178167
"Association of Southeast Asian Nations"	0.16017
APEC	0.150006
"Asia-Europe Meeting"	0.143211
"Non-Aligned Movement"	0.133747
"Congress Working Committee"	0.133326
IGC	0.124662
"Consultative Group"	0.120666
"Group of @@"	0.119881
ASEAN	0.118668
"ASEAN Ministerial Meeting"	0.11611
"Damascus Declaration"	0.113581
"Arab Parliamentary Union"	0.106554
"Economic Cooperation Organization"	0.104971
"Ministerial Meeting"	0.101475
"Russian Security Council"	0.101383
"Board of Governors"	0.100346
"ASEAN Free Trade Area"	0.0992139
"World Economic Forum"	0.0991173
"PLO Executive Committee"	0.097157
"Alcoholics Anonymous"	0.0967849
"South Pacific Forum"	0.0964699
"International Congress"	0.0963973
"Lambeth Conference"	0.0939147
"South Asian Association for Regional Cooperation"	0.0919806
"U.N. Conference"	0.0907004
"Organization of Islamic Conference"	0.0904899
Asia-Europe	0.0903956
"Southern African Development Community"	0.0900254
"General Council"	0.0898327
"Group of Eight"	0.089163
"Provisional Ruling Council"	0.088446
"World Conference"	0.0877497
"U.N. Human Rights Commission"	0.0872134
"Ministerial Conference"	0.0871913
"North Atlantic Council"	0.0871224
"Federal Open Market Committee"	0.0841597
SAARC	0.0831094
"Business Council"	0.0813286
"European Council"	0.0813109
fora	0.0789375
"Palestine National Council"	0.0779259
eco	0.0775932
"Caribbean Community"	0.0774543
PATA	0.077184
"Organization for Economic Cooperation and Development"	0.0767019
"Commonwealth Ministerial Action Group"	0.0766136
"International Symposium"	0.0765766
UPU	0.0764321
"Palestinian Central Council"	0.0763207
JMC	0.0758513
"U.N. Millennium Summit"	0.0756921
OIC	0.0756175
"Israeli Cabinet"	0.0744293
"Plenary Session"	0.0736067
"World Trade Organization"	0.073453
"general assembly"	0.0727556
COMESA	0.0725906
IPU	0.0724741
"Fortune Global Forum"	0.0712822
"round table"	0.0710359
CWC	0.0710342
plenum	0.0710096
"summit meeting"	0.0705675
ESCAP	0.0700329
"Rio Group"	0.0694427
Roundtable	0.0688347
symposia	0.0687525
FTAA	0.0686643
"Joint Military Commission"	0.0683369
"International Conference"	0.0682546
"National Executive Committee"	0.0680893
"Fifth Session"	0.0679861
G-@	0.0679271
"Council of Ministers"	0.0677314
"Palestinian Council"	0.0674835
"Jerusalem Committee"	0.0673556
JLG	0.0671927
PNC	0.0671475
"World Petroleum Congress"	0.066848
"Palestinian National Council"	0.0664411
G-@@	0.0661819
"National Council"	0.0658239
"Contact Group"	0.0650907
"World Congress"	0.0650787
taskforce	0.0650665
"Council of Europe"	0.0650423
"Supreme Council"	0.0647625
"Organization of African Unity"	0.0646501
"South Summit"	0.0644165
"Organization of Petroleum Exporting Countries"	0.0640002
"CPPCC National Committee"	0.0634056
placers	0.0629521
OECD	0.0629389
"Joint Liaison Group"	0.062649
"Revolutionary Command Council"	0.0625217
"United Nations Conference"	0.0623453
"United Nations Conference on Trade and Development"	0.0623065
Mensa	0.0621607
"Joint Commission"	0.0617297
D-@	0.0616522
"standing committee"	0.0615788
"National Democratic Alliance"	0.0614687
"international organization"	0.0614444
parley	0.0612055
"UN Security Council"	0.0610337
"Common Market for Eastern and Southern Africa"	0.060892
"Economic Community of West African States"	0.0608462
COMDEX	0.0604844
SADC	0.0600783
inning.	0.0600497
"Selection Committee"	0.0599635
"Islamic Conference"	0.0597146
"Southern Africa Development Community"	0.0595898
WEU	0.0594043
"Special Session"	0.0588703
"Gulf Cooperation Council"	0.058759
"Group of Rio"	0.0585921
"Executive Committee"	0.0585005
MPR	0.0582569
FOMC	0.0577951
"European Monetary Union"	0.057754
"First Session"	0.057487
symposium	0.0570419
G@	0.0567812
China-U.S.	0.0566882
"World Athletics Championships"	0.0566822
"executive council"	0.0563841
"National Congress"	0.0563743
ADB	0.0559821
"Commonwealth of Independent States"	0.0559254
"council meeting"	0.0558114
"Promise Keepers"	0.0555608
"Constitutional Council"	0.0555098
"Arab League"	0.0554387
"Lome Convention"	0.0553377
sub-regional	0.0552241
"Millennium Summit"	0.0551719
"National Games"	0.0550783
"East African Cooperation"	0.0550732
placer	0.054764
CITES	0.0545882
NPT	0.0544815
Asiad	0.0543968
UNCTAD	0.0543369
"steering committee"	0.0542657
"National Conference"	0.0542369
"Congress (NPC) Standing Committee"	0.0540353
"Annual Meeting"	0.0538838
"Philippine Stock Exchange"	0.0533666
"General Committee"	0.0531079
GCC	0.0528707
sub-commission	0.052635
"World Health Assembly"	0.0526174
"committee meeting"	0.0525683
ECOWAS	0.0525585
"March @-@"	0.0525339
"Consultative Assembly"	0.0523645
"Federal Council"	0.0522867
"Organization for Security and Cooperation in Europe"	0.0521547
"Andean Community"	0.0521191
"International AIDS Conference"	0.0520847
"North Atlantic Treaty Organization"	0.0518959
FTA	0.05179
"Trade Fair"	0.0515527
Mercosur	0.051403
ICC	0.0513817
"garden party"	0.0513078
Presidium	0.0511269
UN	0.0510685
"panel discussion"	0.0509944
PECC	0.0508786
"SEA Games"	0.0508365
plc	0.0507661
UPC	0.0507183
GATT	0.0507106
"Second Session"	0.0506265
"National People"	0.0505316
subregion	0.0503683
"Central Committee"	0.0503296
"Universal Postal Union"	0.0502819
CPPCC	0.0501979
OAS	0.0500718
"Asian Development Bank"	0.0495962
"three-day event"	0.049394
"National People's Congress"	0.0493561
"World AIDS Conference"	0.049296
"Inter-Parliamentary Union"	0.0491996
"Council of Guardians"	0.0489873
"Group of Seven"	0.0489763
"National Council of La Raza"	0.0489615
"Multimedia Super Corridor"	0.0489171
"September @-@"	0.0488402
Politburo	0.048786
"Inter-Governmental Authority on Development"	0.0487493
"Western European Union"	0.0486727
))
("ASEAN Secretariat" (desc 1402.01) (sims
"Ministry of Economy"	0.133707
"Ministry of Industry"	0.125975
"Ministry of International Trade and Industry"	0.120919
"China Youth Development Foundation"	0.117346
"United Nations Drug Control Program"	0.114994
"State Flood Control"	0.113043
"United Nations Industrial Development Organization"	0.111908
"United Nations Conference on Trade and Development"	0.109708
"Ministry of Communications"	0.109049
"Caribbean Community"	0.107599
"International Maritime Organization"	0.107411
UNDP	0.10712
"Industry Ministry"	0.105348
"Department of Trade and Industry"	0.104802
"United Nations Children's Fund"	0.104325
"United Nations Development Program"	0.103954
"United Nations Environment Program"	0.101249
"Shanghai Municipal Government"	0.100586
"Department of Foreign Affairs"	0.100516
"U.N. agencies"	0.100257
"Board of Investment"	0.0992225
"Inter-Parliamentary Union"	0.0990406
"World Tourism Organization"	0.097929
"U.N. Development Program"	0.0978034
"French Foreign Ministry"	0.0965442
"Ministry of Interior"	0.0955698
"Ministry of Forestry"	0.0952322
"World Intellectual Property Organization"	0.0939134
"Ministry of Personnel"	0.0915844
"Ministry of Information"	0.0913201
"Ministry of Trade and Industry"	0.0906484
"State Forestry Administration"	0.0905017
"Home Ministry"	0.0904275
"Islamic Development Bank"	0.0902233
"Central Bank of Kenya"	0.0898085
"Asian Development Bank"	0.089673
"British High Commission"	0.0890868
"Organization for Economic Cooperation and Development"	0.088237
"Ministry of Labor"	0.0878976
"Chinese Foreign Ministry"	0.087349
"Commerce Ministry"	0.0868854
"Food and Agriculture Organization"	0.0865039
"Ministry of Water Resources"	0.0858365
"Ministry of Posts"	0.0856918
UNEP	0.0844382
"Ministry of Land"	0.0843274
"Health Care Financing Administration"	0.084139
"Ministry of Transport"	0.0839114
"Labor Ministry"	0.0836383
"International Civil Aviation Organization"	0.0828239
"financial organization"	0.082482
"International Labor Organization"	0.082289
"Department of Environment"	0.0820104
"Ministry of Construction"	0.0816802
"World Health Organization"	0.0815474
"Ministry of Foreign Trade and Economic Cooperation"	0.0811293
"Taiwan Affairs Office"	0.0810445
"U.N. Environment Program"	0.0800952
"World Food Program"	0.0800844
"World Meteorological Organization"	0.0793364
"Ministry of Science"	0.0792086
"Hong Kong Trade Development Council"	0.0790311
"planning commission"	0.0789336
"International Federation"	0.0777428
"State Environmental Protection Administration"	0.0775112
"Olympic Council of Asia"	0.0772148
"People's Bank of China"	0.0771359
"National Tourism Administration"	0.0765269
"United Nations agency"	0.0764884
"Ministry of Tourism"	0.076444
"Hong Kong Tourist Association"	0.0764093
"Health Ministry"	0.0758742
"Tourism Authority of Thailand"	0.0750832
"Information Office"	0.0750572
"Ministry of Civil Affairs"	0.0746047
"State Administration of Foreign Exchange"	0.07421
"Economic Commission for Africa"	0.073701
"State Planning Commission"	0.0734313
"Thai Foreign Ministry"	0.0721928
"National Council of Churches"	0.0718895
"Department of Health"	0.0718343
"Organization of African Unity"	0.0715309
Interpol	0.0715229
"China Society"	0.0715074
WEF	0.0711578
"Chinese Academy of Social Sciences"	0.0711069
"State Statistics Bureau"	0.0708095
"Ministry of Public Health"	0.0706028
"Ministry of Foreign Trade"	0.0702194
"Ministry of Railways"	0.0699707
"China Securities Regulatory Commission"	0.0699484
"Group of Seven"	0.069717
"Turkish Foreign Ministry"	0.0694176
"Ministry of Culture"	0.0689503
"State Seismological Bureau"	0.0688712
"All-China Youth Federation"	0.0687779
"Hong Kong Monetary Authority"	0.0681876
"Association of Southeast Asian Nations"	0.0680119
"Ministry of Geology"	0.0680061
"Thai Commerce Ministry"	0.0678974
"Ministry of Agriculture"	0.0676847
"United Nations High Commissioner for Refugees"	0.0676825
"State Administration of Cultural Heritage"	0.0673116
"Ministry of Public Security"	0.0672091
"General Administration of Customs"	0.067196
"Information Ministry"	0.0668723
AEC	0.0664363
"Agriculture Ministry"	0.0661666
"International Red Cross"	0.0660754
ECA	0.0657535
MOFTEC	0.0656941
"Central Bureau of Statistics"	0.06557
"Civil Aviation Authority"	0.0654169
"Census and Statistics Department"	0.0649798
"Ministry of Finance"	0.0649028
"Ministry of Planning"	0.0648197
"U.N. Secretariat"	0.0647131
"United Nations Educational, Scientific and Cultural Organization"	0.0646636
UNAIDS	0.0644141
"election commission"	0.0642818
"Ministry of Education"	0.0642565
UCI	0.0642172
Tuvalu	0.0641916
"Red Cross Society"	0.0641621
"International Badminton Federation"	0.0639107
"Non-Aligned Movement"	0.0636007
"Ministry of Foreign Affairs"	0.0635982
"State Bureau of Cultural Relics"	0.0635364
"Gulf Cooperation Council"	0.0634349
"United Nations Conference"	0.0633185
"Department of Finance"	0.0626795
"International Committee"	0.0626472
"Funcinpec Party"	0.0624816
"Civil Aviation Administration of China"	0.062257
"State Bureau of Environmental Protection"	0.062062
"UN agency"	0.0617387
"Ministry of Trade"	0.0615572
FIVB	0.0615456
"Development Research Center"	0.0613842
WFP	0.0610774
OECD	0.0609365
"State Education Commission"	0.0608875
UNCTAD	0.0608534
"Arab League"	0.0604522
"Information Center"	0.0598639
"Ministry of Information Industry"	0.0596205
"State Economic and Trade Commission"	0.0595824
"Bank Indonesia"	0.059508
"State Science and Technology Commission"	0.0594928
"South Asian Association for Regional Cooperation"	0.0593771
"Hong Kong Federation"	0.0589797
"Organisation of African Unity"	0.0586479
"Publicity Department"	0.0586044
"Economic Community of West African States"	0.0586033
"World Economic Forum"	0.0584506
"United Nations Population Fund"	0.0583991
IAEA	0.0579529
"State Development Planning Commission"	0.0575492
"Economic and Social Council"	0.0571468
"Propaganda Department"	0.0567124
"Department of State"	0.0564044
"Ministry of Justice"	0.0561939
"All-China Journalists Association"	0.0561831
"Immigration Department"	0.0558286
"U.S. State Department"	0.0558197
"National Highway Traffic Safety Administration"	0.0554118
UNIDO	0.055376
"State Administration of Internal Trade"	0.0552757
"Economic Cooperation Organization"	0.0550729
"Badminton Association of Indonesia"	0.0550007
"State Administration of Taxation"	0.0545706
"member nation"	0.0544618
"general staff"	0.0544568
member-states	0.0543491
"Royal Canadian Mounted Police"	0.054258
"Asia Pacific Economic Cooperation"	0.0541711
ESCAP	0.053823
"State Administration for Industry"	0.053579
UNESCO	0.0535687
"Chinese Olympic Committee"	0.0534826
"foreign office"	0.0529829
"International Atomic Energy Agency"	0.0529776
"Council of Europe"	0.0529763
"National Bureau of Statistics"	0.0527902
"Israeli Embassy"	0.0525075
"National Election Committee"	0.0524298
"Presidential Office"	0.0522973
"Gulf Air"	0.0521241
"Central Bank of Nigeria"	0.0520512
Koreas	0.0516447
"Organization of American States"	0.0515841
KPU	0.0513786
"Ministry of Defense"	0.0513166
"Organization Department"	0.0512717
Directorate	0.051246
"Asia Society"	0.050773
"Occupational Safety and Health Administration"	0.0506136
IPU	0.0503474
"Asia-Pacific Economic Cooperation"	0.0503102
"Indian High Commission"	0.0497039
))
(ASEM (desc 4423.62) (sims
Asia-Europe	0.256356
"Asia-Europe Meeting"	0.255535
ARF	0.237063
APEC	0.204978
"ASEAN Regional Forum"	0.20168
"Asia-Pacific Economic Cooperation"	0.198476
G-@@	0.19643
eco	0.183564
SAARC	0.170428
"Asia Pacific Economic Cooperation"	0.162629
"Damascus Declaration"	0.150262
AMM	0.146381
ESCAP	0.145701
"Ministerial Conference"	0.145204
IGC	0.139553
G-@	0.138864
ASEAN	0.138807
IGAD	0.13774
"ASEAN Ministerial Meeting"	0.136909
"Rio Group"	0.13388
GCC	0.133542
"Group of Eight"	0.13149
"Group of Rio"	0.131084
"Non-Aligned Movement"	0.130648
SADC	0.127053
OIC	0.124222
D-@	0.124156
"Andean Group"	0.123591
"Group of @@"	0.120169
EAC	0.118372
"South Asian Association for Regional Cooperation"	0.116608
"Congress Working Committee"	0.115318
JMC	0.114358
"Association of Southeast Asian Nations"	0.113371
PECC	0.112429
"Group of Seven"	0.112147
UPU	0.111287
G@	0.109387
CPLP	0.10781
FOMC	0.107635
"South Summit"	0.105843
UNCTAD	0.105804
CITES	0.105447
inter-Korean	0.104544
NAM	0.103424
G@@	0.103375
OECD	0.102547
interagency	0.100884
"European Council"	0.100433
"Consultative Group"	0.100248
Russian-U.S.	0.100137
"Contact Group"	0.0998676
"U.N. Millennium Summit"	0.0996645
PNC	0.0996317
"Andean Community"	0.0991274
WEU	0.0982578
COMESA	0.0975842
CGI	0.0960349
"Gulf Cooperation Council"	0.0959964
"South Pacific Forum"	0.0953732
pan-Arab	0.0950999
sub-regional	0.0948018
"Islamic Conference"	0.0944464
PATA	0.0942467
"U.N. Conference"	0.0939859
IPU	0.0938915
"Inter-Governmental Authority on Development"	0.0932236
Roundtable	0.093217
China-U.S.	0.0925411
"World Food Summit"	0.0924534
"Myanmar Embassy"	0.0924137
"World Conference"	0.092334
"Alcoholics Anonymous"	0.092213
"Paris Club"	0.092187
"Economic Cooperation Organization"	0.0920132
Mercosur	0.0918987
"Fortune Global Forum"	0.0911298
NDA	0.0911038
WEF	0.0896273
"World Youth Games"	0.089481
WTO	0.0893725
"Caribbean Community"	0.0891323
CWC	0.0882119
CMAG	0.0878951
AEC	0.086874
inaugural	0.0867251
"East African Cooperation"	0.0860499
Non-governmental	0.0857203
ECOWAS	0.0852222
"South Asian"	0.0851684
NSC	0.0851395
"Southern African Development Community"	0.0850991
E.U	0.0842677
Asiad	0.0836185
"Palestine National Council"	0.0834922
U.S.-China	0.0832344
"United Nations Conference on Trade and Development"	0.0830588
"East Asian Games"	0.0829959
commonwealth	0.0825379
"World Trade Organization"	0.0824245
Ci	0.0820946
"PLO Executive Committee"	0.0816136
"Jerusalem Committee"	0.0813558
MPR	0.0812821
"Fourth Session"	0.080706
"Rules Committee"	0.0805649
OAS	0.080537
FTAA	0.0804223
JLG	0.0802324
"World Economic Forum"	0.079897
"International AIDS Conference"	0.0796989
"Fourth World Conference"	0.0790839
"United Nations Conference"	0.0783077
"Millennium Summit"	0.0775587
ACP	0.0774386
OAU	0.0769081
"World Petroleum Congress"	0.0765674
"Organization for Economic Cooperation and Development"	0.076462
"U.N. Human Rights Commission"	0.0759009
"Supreme Council"	0.0754783
"Organization of Islamic Conference"	0.0753606
"summit meeting"	0.0752536
"Joint Military Commission"	0.0752268
CPPCC	0.0749878
"Fifth Session"	0.0748725
two-day	0.0743644
"Human Rights Commission"	0.0739865
DLC	0.0739688
Sino-U.S.	0.0738832
OPEC	0.0734617
week-long	0.073336
CPF	0.0731203
"Congressional Black Caucus"	0.0728427
PCC	0.0727965
"National Party Congress"	0.0724738
"Arab League"	0.0722995
fora	0.0720609
"Star Alliance"	0.0720064
"World AIDS Conference"	0.0719245
"Dhaka Stock Exchange"	0.0718861
ICC	0.0716861
"committee meeting"	0.0714408
"International Conference"	0.071357
"CPC National Congress"	0.0711754
"Organization of Petroleum Exporting Countries"	0.0711164
"Commonwealth Ministerial Action Group"	0.0709894
U.S.-Russian	0.070774
"steering committee"	0.0705182
"Pacific Rim"	0.0703855
NGO	0.0703031
"Ministerial Meeting"	0.0702128
"Palestinian National Council"	0.0701173
"North Atlantic Treaty Organization"	0.0700578
"International Congress"	0.0700176
"general assembly"	0.0700032
"Asian Cup"	0.069673
Mensa	0.069564
"International Symposium"	0.0694265
"Arab Parliamentary Union"	0.0692248
"General Council"	0.0690575
CCF	0.0689183
"Council of Europe"	0.068338
"NZ First"	0.0677137
UPC	0.0673245
"First Session"	0.067066
"Council of Ministers"	0.0670217
CSA	0.066919
Israeli-Palestinian	0.0668626
"Israeli Cabinet"	0.0668135
"South American Common Market"	0.066693
"General Committee"	0.0666029
U.S.-Japan	0.0663272
"U.N. Security Council"	0.0661368
AFTA	0.0660541
Japan-U.S.	0.0651639
"executive council"	0.0647952
"Common Market for Eastern and Southern Africa"	0.0647743
"Business Council"	0.0643065
"Board of Governors"	0.0642438
"Universal Postal Union"	0.0642236
"House International Relations Committee"	0.0641697
"British Foreign Office"	0.0640953
"Inter-Parliamentary Union"	0.0639778
ITU	0.063923
taskforce	0.0638998
"House Budget Committee"	0.0638926
"Federal Open Market Committee"	0.0638551
Sino-Russian	0.0637628
"European Monetary Union"	0.0637494
"National Congress"	0.0636902
"European Community"	0.0634647
"Palestinian Council"	0.0634389
"East African Community"	0.0633555
Fernandes	0.0631374
"Special Session"	0.0628834
"North Atlantic Council"	0.0627579
FAO	0.062628
"Commonwealth of Independent States"	0.0626114
"Volleyball Championship"	0.0623841
"Executive Committee"	0.0623613
))
(ash (desc 46776.8) (sims
dust	0.141234
debris	0.132022
smoke	0.131613
mud	0.111129
soot	0.109768
lava	0.109177
sand	0.105341
cinder	0.105001
rubble	0.0977274
dirt	0.0968862
gravel	0.09359
snow	0.0931598
fume	0.0862148
Garbage	0.0840888
wreckage	0.0807865
steam	0.0798524
cloud	0.0785093
particle	0.0782704
waste	0.0777306
gas	0.0774131
vapor	0.0767459
silt	0.0764012
"water vapor"	0.0760854
ember	0.0724221
remains	0.0723824
soil	0.0720994
flame	0.0719474
muck	0.0704542
Maple	0.0689056
powder	0.0687267
rock	0.0684466
pollen	0.0684058
rubbish	0.0681101
water	0.0664715
brick	0.0662163
"carbon dioxide"	0.0660133
pollutant	0.0659998
metal	0.0655323
ruin	0.0649332
manure	0.0628386
Sewage	0.0623794
trash	0.0617409
Coal	0.0616496
plume	0.0616162
Oak	0.0606593
particulates	0.0604483
residue	0.0602151
sediment	0.059984
Concrete	0.0599348
ICE	0.0591447
stone	0.0590431
Liquid	0.0588109
Haze	0.0580565
smog	0.0579495
"sulfur dioxide"	0.0575128
emission	0.0574774
sludge	0.0574028
sawdust	0.0573028
flower	0.0572322
litter	0.0567501
leaf	0.0567488
fog	0.0565098
wastewater	0.0562155
salt	0.0558632
pine	0.0551638
Grave	0.0550239
"carbon monoxide"	0.0550137
Shell	0.0547801
chemical	0.0546256
methane	0.0543008
material	0.0540921
mist	0.0540778
tree	0.0539778
tar	0.0538037
"nitrogen oxide"	0.0537845
Birch	0.0536165
compost	0.0534238
cement	0.0532133
earth	0.0529566
ore	0.0528456
pile	0.0528047
petal	0.0527557
wood	0.0523154
grass	0.052089
dioxide	0.0518578
shard	0.0518213
Boulder	0.0515229
pesticide	0.0513898
body	0.0500583
plaster	0.0498429
shrapnel	0.0498383
belonging	0.0496851
blood	0.0496359
wax	0.0492512
fragment	0.0491429
glass	0.0490413
cloth	0.0490024
Casket	0.0489199
coffin	0.0488109
foam	0.0487266
layer	0.0481557
"hot air"	0.0481022
oil	0.0479019
hair	0.0476352
clay	0.047586
Cherry	0.0474347
odor	0.0473349
excrement	0.0472278
insulation	0.0470756
rain	0.0467034
memory	0.0466994
bone	0.0466244
asphalt	0.0465173
cyanide	0.0464738
blanket	0.0462491
log	0.0462457
droplet	0.046237
tile	0.04586
grease	0.0456437
poison	0.0453604
heat	0.0451767
confetti	0.0450087
fruit	0.0448715
moisture	0.0448156
crater	0.0446697
hydrogen	0.0446237
sugar	0.0445488
skeleton	0.0444939
grain	0.0442717
"body part"	0.0442663
iron	0.0441723
nitrogen	0.0441541
"tear gas"	0.0438233
explosive	0.0437887
mixture	0.0435085
charcoal	0.0433781
photograph	0.0432884
cedar	0.0432484
bottle	0.0431807
aluminum	0.0431365
weed	0.04312
spore	0.0430053
blossom	0.0428198
hydrocarbon	0.0427641
rubber	0.0426176
pollution	0.0424545
plastic	0.0423857
pigment	0.0422925
plutonium	0.0422469
steel	0.0422209
heap	0.0420957
vegetation	0.0418349
substance	0.0416843
fireball	0.0416207
timber	0.0415392
carcass	0.0414262
crumb	0.041321
flour	0.0412767
corpse	0.0412477
Straw	0.0412034
smell	0.0410885
egg	0.0409019
oxygen	0.0408654
object	0.0408494
memoir	0.0405278
meat	0.0404235
skin	0.0403818
remnant	0.0403722
herb	0.0403268
noise	0.0402702
mudslide	0.0402559
Copper	0.0402518
sulfur	0.0401716
bag	0.0400682
honey	0.0400644
))
(Ashbrook (desc 3562.99) (sims
"Mark Barton"	0.153691
Baumhammers	0.140136
"Mark O. Barton"	0.140058
Barton	0.117791
furrow	0.110516
gunman	0.109257
Hensley	0.109126
Byrdsong	0.103956
Batouty	0.103078
Sarsour	0.10076
Berkowitz	0.100033
Klebold	0.0993872
Ileto	0.097748
Weston	0.0949551
Carneal	0.0926634
"Maturino Resendez"	0.0908089
Palczynski	0.087955
Capano	0.0873227
"Eric Harris"	0.0871065
Falater	0.0861617
Odai	0.0861507
Oswald	0.0844954
Gaither	0.0842492
Slepian	0.0835156
Gurule	0.083436
"National Guardsmen"	0.0829035
Cunanan	0.0821684
assailant	0.0809335
Moxley	0.0792015
Evan	0.0790165
"Dylan Klebold"	0.0767045
Hage	0.0760558
Soliah	0.0745322
Stayner	0.0742213
Diallo	0.073768
"robbery suspect"	0.0735917
Kinkel	0.0734059
BSF	0.0730409
Tuinei	0.072016
attacker	0.0717067
Kalejs	0.0714524
Dorismond	0.0713735
Matasareanu	0.0712475
Kaczynski	0.0712143
Galindo	0.0711169
Kodikian	0.0710701
Pamela	0.0708615
Montalvo	0.0706055
McMellon	0.0704963
"Maturino Resendiz"	0.0700417
Al-Amin	0.0698977
Ricart	0.0697032
Sheinbein	0.0696497
Trudeau	0.0695043
Farrakhan	0.0694377
Vasquez	0.0694283
"Lee Harvey Oswald"	0.0691641
Figueroa	0.0687675
Bulatovic	0.0687577
Skakel	0.0687478
looper	0.0686772
Brazill	0.0684198
Sweeting	0.0680468
Berenson	0.0677604
gunmen	0.0673208
Nate	0.067039
Ripken	0.0668384
peeler	0.0664957
McConaughey	0.0664279
Dunston	0.0661857
Salinger	0.0661704
Mikhailov	0.0659447
Kiareldeen	0.0654113
Nunez	0.0653881
Spielman	0.0652984
Montiel	0.0652013
Kopp	0.0651392
Shandling	0.065031
Harrick	0.0647268
Perrot	0.0646849
"Michael Skakel"	0.0641273
Kimes	0.0639391
Stith	0.063544
Khrushchev	0.063528
Guerin	0.0634514
Martorano	0.0634349
Raznatovic	0.063386
sexton	0.0632164
Egan	0.0627383
"Ruiz Massieu"	0.0626395
Mease	0.0623382
Resendez-Ramirez	0.0621452
Fech	0.0620777
Noor	0.0620658
Phills	0.062002
Ressam	0.0618534
Cusack	0.0616724
Vogts	0.061342
Lennon	0.0613193
Tran	0.0610572
"El Hage"	0.0606301
Papon	0.0606204
nance	0.0605376
Jelisic	0.0604557
Frankel	0.0602883
Ozaki	0.0601953
Reimer	0.0597295
Brister	0.0596396
robber	0.059417
Einhorn	0.0593612
Knievel	0.0592092
Gerardi	0.0591656
Dubus	0.059134
DiMaggio	0.0591023
Leyland	0.0589239
Lazaro	0.0586817
Skiles	0.0585756
Valenzuela	0.0585282
Solomon	0.058266
Wilkerson	0.0582458
Costin	0.0581452
Kip	0.0579152
Faget	0.0578728
Shulman	0.0577973
Schulz	0.0577937
Sherrill	0.0577599
Soyinka	0.0577469
"Suu Kyi"	0.0575521
Machado	0.0575174
Sarazen	0.0573562
Sund	0.0572963
Hagi	0.0572192
Weinke	0.0570577
Jennings	0.0569431
Ganga	0.056896
Cai	0.0568772
Neville	0.0568631
workman	0.0567096
Chilavert	0.0565677
Siripongs	0.0564052
Neulander	0.0562759
Kerik	0.0562361
Naipaul	0.0560889
Hirschfeld	0.0560801
Nathaniel	0.0558668
craven	0.0558138
Hightower	0.0556742
Dahmer	0.0556232
Imperatori	0.0555394
Appleby	0.0552961
Atkinson	0.0552381
Richards	0.0551217
Kluivert	0.0551095
Volpe	0.0550581
Rosenthal	0.054881
guardsmen	0.0548283
D'Amico	0.054795
Grunow	0.0547732
Kidder	0.0545865
Amedure	0.0545662
Ghani	0.0545464
Catacosinos	0.05452
Tian	0.0545133
Riady	0.0544326
Herrera	0.0543892
Justin	0.0542366
Akbar	0.0541492
Arizmendi	0.0541179
Sharpton	0.0540867
Fiorina	0.0540622
Lucic	0.0540548
Sheehy	0.0540298
Kern	0.0539582
Paltrow	0.0538685
McDuff	0.0538269
Pantani	0.0537706
JonBenet	0.0537646
Britton	0.0537557
Shoate	0.0537388
Conde	0.053725
Contreras	0.0536684
Baldwin	0.053638
Chastain	0.0535973
Dokic	0.0535624
Berra	0.0534929
Zeile	0.0533609
DiCarlo	0.0532641
Polgar	0.0532501
Quigley	0.0532337
Unabomber	0.0530597
Antley	0.0529686
Postel	0.0529268
Ortega	0.0527055
Millwood	0.0526626
Silverman	0.0526065
Kimeses	0.0526014
Galarraga	0.052579
Goldstein	0.0525702
Vonnegut	0.0525552
Belcher	0.0524556
))
(Ashby (desc 10274.1) (sims
"Richard Ashby"	0.284027
Schweitzer	0.157249
Moehler	0.148918
Radke	0.146756
Trachsel	0.142607
Mussina	0.13676
Harnisch	0.135222
Bottenfield	0.132326
Tapani	0.132117
Nagy	0.131499
Glavine	0.129458
Mercker	0.128999
Erickson	0.128118
Dempster	0.127823
Millwood	0.124151
Wakefield	0.122711
Hentgen	0.12116
Lieber	0.120288
Maddux	0.120121
Fassero	0.119316
Hermanson	0.118757
Astacio	0.117547
Pavano	0.117022
Smoltz	0.116897
Mlicki	0.116891
Rusch	0.115292
Bohanon	0.114634
Kile	0.11453
Belcher	0.114409
Pettitte	0.113011
Loaiza	0.112881
Rueter	0.112697
Helling	0.112216
Livoti	0.110223
Yoshii	0.109091
Daal	0.106476
Schilling	0.105236
Saberhagen	0.105229
Dreifort	0.104891
Burkett	0.104846
Sele	0.104124
Ankiel	0.103603
Nikitin	0.103449
Gooden	0.10318
"Andy Ashby"	0.102973
Neagle	0.102526
Reynoso	0.101769
Schourek	0.100761
Nomo	0.100263
D'Amico	0.100191
Espy	0.0999906
Lileikis	0.098452
Olivares	0.0983802
"Eric Milton"	0.0980102
Rapp	0.0969026
Percival	0.0965453
Arrojo	0.0963279
Mulholland	0.0963067
McDougal	0.0957971
Moyer	0.0955187
Valdes	0.0951709
Leiter	0.0947802
Candiotti	0.0945844
Benes	0.0942534
Skakel	0.0938965
Irabu	0.093778
Herges	0.0922663
Stottlemyre	0.0921628
Tomko	0.0920219
Hershiser	0.0914432
Guzman	0.0908955
Gagne	0.0898344
Manbar	0.0898125
Schoeneweis	0.0895705
hale	0.0892646
Mahomes	0.089103
Suppan	0.0887843
Eldred	0.0884192
Meadows	0.0883054
Parris	0.0881852
Trie	0.0877201
Hampton	0.0876977
Blackthorne	0.0870032
"Maturino Resendiz"	0.0869726
"Russell Peeler"	0.0866335
Oliver	0.0865614
Neulander	0.086416
Schmidt	0.0857599
Petkovsek	0.0856525
Hernandez	0.0855942
"Woody Williams"	0.0846421
Hsia	0.0846277
Dotel	0.0845654
Perez	0.0842432
Osuna	0.0841159
Mikhailov	0.0838085
Halama	0.0836099
Mantei	0.0835508
Karr	0.0834817
Woodard	0.0834727
Bere	0.083388
Appier	0.0833774
Burba	0.0827099
Abernathy	0.0827081
Baldwin	0.0825662
"Jeff Weaver"	0.0822174
McGinn	0.082142
Vazquez	0.0814764
Sakic	0.081064
Haynes	0.0810503
"Russ Ortiz"	0.0810083
"John Burkett"	0.080701
"Shane Reynolds"	0.0804179
Clemens	0.080276
Mendoza	0.0801884
"Kent Bottenfield"	0.0798714
Castillo	0.0798699
"Rick Helling"	0.07967
Mudge	0.079498
"Chris Carpenter"	0.0794762
KEVORKIAN	0.0793484
Schwarz	0.0793471
Gardner	0.0792804
Washburn	0.0789513
Pulsipher	0.0788064
"Chan Ho Park"	0.0787211
Elarton	0.0780816
Witt	0.0780414
"Jon Lieber"	0.0778791
"Javier Vazquez"	0.0777203
Nichols	0.0772838
Reynolds	0.0772027
Fagan	0.0769626
"Mike Hampton"	0.0768117
Cloude	0.0767531
Remlinger	0.0761768
Finley	0.0757966
Fortier	0.0754402
Ortiz	0.0754232
Rogers	0.0751775
"Dave Burba"	0.0750289
Haouari	0.0749864
Gotti	0.074931
Craxi	0.0746563
Stayner	0.0740426
Hirschfeld	0.0739362
Heredia	0.0738055
right-hander	0.0737402
Dickson	0.0733369
Sheppard	0.0733356
"Kevin Tapani"	0.0731578
Karbaschi	0.0730376
Simpson	0.072949
Steele	0.0726294
Hiett	0.0725557
Gritz	0.0723936
Berenson	0.0723668
Fassett	0.0721312
estes	0.0720113
"Pat Hentgen"	0.0717605
Williamson	0.0716283
Hubbell	0.0714856
Druckenmiller	0.0713236
"Jesus Sanchez"	0.0711501
Schmitz	0.0710124
"John Smoltz"	0.0705951
Benitez	0.0705675
Rojas	0.0705546
Bakaly	0.070524
"Brian Anderson"	0.070348
Bergman	0.0701247
Hoffman	0.0701226
Yoo	0.0700986
Olson	0.0696057
"Andy Benes"	0.0695411
"Brian Moehler"	0.0695317
"Roger Clemens"	0.0695098
Padilla	0.0694967
"Gil Heredia"	0.069439
"Tom Glavine"	0.0693786
Valenzuela	0.0693088
Avery	0.0691877
Rivera	0.0690797
Markhasev	0.0687
BENSON	0.0686565
McKinney	0.0685498
Cone	0.0685011
"Darryl Kile"	0.068392
Glover	0.0683854
Snyder	0.0683502
Martinez	0.0678931
Cruz	0.0676846
Fernandez	0.0675979
Johnson	0.0674424
Harris-Lewis	0.0674363
"Hideki Irabu"	0.0674201
Sebaggala	0.0673152
Etherton	0.0670154
Capano	0.0669415
"Omar Olivares"	0.0668555
))
(Ashcroft (desc 7283.85) (sims
Gramm	0.200392
Santorum	0.194374
Gorton	0.179702
"John Ashcroft"	0.174336
Kyl	0.173272
Chafee	0.16825
Feinstein	0.16065
Engler	0.156576
D'Amato	0.153679
Nickles	0.153055
Lautenberg	0.152758
Carnahan	0.149904
Quayle	0.146868
Voinovich	0.142196
Lungren	0.141395
Lott	0.140808
SHUSTER	0.140599
Helms	0.1377
Jeffords	0.137557
Hutchison	0.136517
Brownback	0.136219
Thurmond	0.135991
Domenici	0.135884
McConnell	0.134447
"Kit Bond"	0.134199
Cornyn	0.134056
Schumer	0.133001
Taft	0.13194
Snowe	0.129157
Harshbarger	0.127766
Barr	0.126805
Grassley	0.126304
Gephardt	0.126277
Coverdell	0.125046
DOLE	0.123949
McCain	0.123388
McCollum	0.122651
Bauer	0.121978
Pataki	0.120811
frist	0.120731
Inhofe	0.120719
"John Danforth"	0.118788
hatch	0.118626
Harkin	0.118276
Dewine	0.117294
Lieberman	0.116935
Mauro	0.116572
Cellucci	0.116509
"Paul Coverdell"	0.115414
Vacco	0.115294
Ammiano	0.115134
Moynihan	0.115064
Torricelli	0.114363
Feingold	0.114305
Kolbe	0.11353
Giuliani	0.112999
Buchanan	0.112403
Nethercutt	0.111613
Abraham	0.111038
Kasich	0.110383
FAIRCLOTH	0.109953
Vallone	0.109941
Hastert	0.109726
Murkowski	0.108696
Dukakis	0.108044
Cuomo	0.106662
Robb	0.105952
Hagel	0.105745
Whitman	0.105083
Dingell	0.104761
Fordice	0.104727
Gingrich	0.104384
Kerry	0.104136
Bradley	0.102693
Daschle	0.102601
McGovern	0.102488
Armey	0.101168
Kerrey	0.100895
Keyes	0.100816
Doggett	0.100809
Rogan	0.100757
Florio	0.100612
Bunning	0.100424
Leahy	0.10022
Weizman	0.100179
Corzine	0.10001
Quackenbush	0.0999998
Shelby	0.0998326
Lowey	0.0995532
Pelosi	0.099542
Danforth	0.099163
Wellstone	0.0984949
Allard	0.0983653
Tauzin	0.0977906
Siegelman	0.097184
Gilmore	0.0968144
"Lauch Faircloth"	0.0967598
Labastida	0.0964862
Ota	0.0960318
Boehner	0.0959912
Markey	0.0946086
Spitzer	0.0941224
Hyde	0.0939035
Hoffa	0.093677
Groscost	0.0935905
Cheney	0.0935899
Rowland	0.0935883
"Ted Kennedy"	0.0935597
Hagelin	0.0933104
Hutchinson	0.0931069
Shays	0.0930855
McCaffrey	0.0930644
Lugar	0.0927618
Ferraro	0.0925576
Forbes	0.0924624
Madrazo	0.0923516
Archer	0.0922428
Garcetti	0.092171
Riordan	0.0920955
"Christie Whitman"	0.0919611
Balaguer	0.0919355
Difrancesco	0.0913334
Campbell	0.0911565
Mordechai	0.0910201
McCall	0.090958
"John McCain"	0.0895906
Lazio	0.0892534
Lafontaine	0.0889592
Maskhadov	0.0887752
Alexander	0.0883876
MacKay	0.0882361
Lockyer	0.0881108
Thompson	0.0878154
"Pat Buchanan"	0.0877715
Djukanovic	0.087736
Draskovic	0.0874991
Kohl	0.0874796
"Barry Goldwater"	0.0872539
Luzhkov	0.0871375
"Chuck Schumer"	0.086793
Gregg	0.0857138
Nader	0.0855224
Berisha	0.0848869
Mandelson	0.0843491
Baucus	0.083096
Arias	0.0829612
Menem	0.0827399
Meehan	0.0827273
Blatter	0.0827176
Fong	0.0825204
"Orrin Hatch"	0.0824275
"Kay Bailey Hutchison"	0.0824179
Roth	0.0823999
Leach	0.082398
Cochran	0.0822887
Samaranch	0.0822664
Diouf	0.0821375
Craig	0.0820083
Largent	0.0818213
Peres	0.0816368
Kazhegeldin	0.0813806
"Warren Rudman"	0.0812777
Moseley-Braun	0.0812688
Upton	0.0812365
Zedillo	0.0809419
senator	0.080641
Cardoso	0.0805558
Hallinan	0.0804812
Seleznyov	0.0803431
Mikhailov	0.0800537
Schell	0.08003
Dodd	0.0798945
Perot	0.079859
Maloney	0.079835
"Hillary Clinton"	0.0794245
"Bob Dole"	0.0793042
Rossello	0.0789913
Wilson	0.0788943
Mugabe	0.0787534
Fujimori	0.078564
"Jim Gilmore"	0.0784604
Carey	0.0784487
"Rick Santorum"	0.0783907
Shaheen	0.0783307
"Zell Miller"	0.0780926
Mineta	0.0780785
Connerly	0.0780127
Maslyukov	0.0778574
Havel	0.0778522
Kennelly	0.0777989
Estrada	0.0777933
Weldon	0.0776752
Livingston	0.0775359
"Jeb Bush"	0.0772651
Isakson	0.077252
"Joseph Lieberman"	0.0770767
Zyuganov	0.076874
Sharpton	0.076871
Reilly	0.0767724
Aleman	0.0766679
))
(ASHEVILLE (desc 3231.88) (sims
TARBORO	0.154568
Raleigh	0.138353
Montclair	0.135341
"Rocky Mount"	0.134153
Medford	0.130873
Morristown	0.129649
"Chapel Hill"	0.127587
LAKEWOOD	0.126908
Fayetteville	0.12615
Greenville	0.125698
Utica	0.124096
Wilmington	0.123866
Hattiesburg	0.119642
Birmingham	0.119143
"Oklahoma City"	0.118744
Brownsville	0.11872
Redding	0.118065
Winston-Salem	0.116936
Akron	0.116037
"High Point"	0.115148
Port-au-Prince	0.114514
Hillsboro	0.114325
"New Rochelle"	0.113417
Springfield	0.113102
"West Palm Beach"	0.112155
Flagstaff	0.109633
"Fort Worth"	0.106539
Amarillo	0.106223
Concord	0.106188
"Little Rock"	0.105773
Spokane	0.105751
"Santa Fe"	0.105649
"Fort Lauderdale"	0.105541
Chattanooga	0.105226
Westfield	0.105174
Tampa	0.10501
Lubbock	0.104909
Missoula	0.103493
"Baton Rouge"	0.1034
"New Haven"	0.103363
Wichita	0.102999
"South Bend"	0.102092
"East Orange"	0.101934
Macon	0.100056
Albuquerque	0.0998612
"East Los Angeles"	0.0998259
Urosevac	0.0996685
Honolulu	0.0991433
Harrisburg	0.0985379
Decatur	0.0984159
"Delray Beach"	0.0980442
Greensboro	0.0976994
"Research Triangle Park"	0.0967995
"Boynton Beach"	0.0967265
Kingston	0.096385
"East St. Louis"	0.0957057
Huntsville	0.0955447
"Corpus Christi"	0.0954904
Columbus	0.0952174
"White Plains"	0.0949666
"Great Neck"	0.0949368
bethel	0.0943006
Eureka	0.0941513
Clifton	0.094148
"Mill Valley"	0.0941231
"Overland Park"	0.0938357
Englewood	0.0933166
Pensacola	0.093312
Northampton	0.0931191
Plano	0.0929915
"Saratoga Springs"	0.0926904
"Des Moines"	0.0924243
Yonkers	0.0920503
Chatham	0.0919421
Elmira	0.091787
Beaufort	0.0917382
"Ann Arbor"	0.0916926
"Miami Beach"	0.0915983
Jasper	0.0915911
Braintree	0.0915275
Holyoke	0.0913692
"Key West"	0.0912818
"El Paso"	0.0912282
Americus	0.0911925
Lawrenceville	0.0911217
"Santo Domingo"	0.091078
Brunswick	0.091062
Beaumont	0.0910236
Pasadena	0.0907179
Burlington	0.0906684
"Garden City"	0.0905909
Rochester	0.0905117
Laredo	0.0900835
Paterson	0.0900352
TRENTON	0.0900205
Aberdeen	0.0894434
Albany	0.0893251
Gainesville	0.089285
Shreveport	0.0891622
"Palm Springs"	0.0890883
Newark	0.0885535
Augusta	0.0883794
Flushing	0.0883179
"St. Paul"	0.0881789
Dushanbe	0.0881355
Guadalajara	0.0881252
"Paradise Valley"	0.087995
Tacoma	0.0878665
"Highland Park"	0.0877142
Thomasville	0.0874783
Naples	0.0874688
Poughkeepsie	0.0870277
Omaha	0.0866564
Middletown	0.0864918
"Cape Fear"	0.0863528
Longview	0.0862156
Encino	0.0861973
"Union City"	0.0861671
Chappaqua	0.0860651
midland	0.0859334
"West Orange"	0.0858425
Topeka	0.0857721
Fresno	0.085733
Schenectady	0.0856438
Duluth	0.0856079
Hoboken	0.0854497
Modesto	0.085355
Worcester	0.0853294
"Hyde Park"	0.085132
Riverdale	0.0850958
BRIGHTON	0.0849711
Plattsburgh	0.0848604
Honiara	0.0846338
Quincy	0.084449
Hackensack	0.0842146
"Daytona Beach"	0.0841701
Monterey	0.0840919
Boise	0.083894
TALLAHASSEE	0.0836935
"Port St. Lucie"	0.0836673
Lynchburg	0.0836579
Ithaca	0.0834466
"Walnut Creek"	0.0833817
Camden	0.0832155
Salisbury	0.0830155
Louisville	0.0829452
"South Bronx"	0.0829045
Savannah	0.0828565
Tucson	0.0828502
Marietta	0.082746
"Santa Barbara"	0.0825189
"Palm Beach"	0.0823729
Abilene	0.0823034
Nashville	0.0822942
"Panama City"	0.0819985
"New London"	0.0819341
Minneapolis	0.0818908
Weimar	0.0818289
"Guatemala City"	0.0817979
Lexington	0.0817076
Zamboanga	0.081699
Harlingen	0.0816408
Richmond	0.0816322
anchorage	0.0813758
Santiago	0.0813422
"Santa Monica"	0.0813203
Knoxville	0.0812633
Williamstown	0.0811458
"Twin Cities"	0.0811406
"San Antonio"	0.0806513
"Jersey City"	0.0806434
Tijuana	0.0805791
Youngstown	0.0804997
Durham	0.0804102
Portland	0.0802074
Brookline	0.0801128
"New Orleans"	0.0799599
Charleston	0.0799396
"St. Petersburg"	0.0799346
Brooklyn	0.0796827
Belfast	0.0793374
Jamestown	0.0791864
Falmouth	0.0791226
Reykjavik	0.0790896
"Mount Vernon"	0.0789781
Ensenada	0.0788227
"La Paz"	0.0787821
BOGOTA	0.078708
Charlestown	0.0785314
"San Marcos"	0.078495
"Cedar Rapids"	0.0784698
Tempe	0.078427
"Iowa City"	0.078339
"San Fernando"	0.0782604
Ridgewood	0.0780642
Podujevo	0.0779793
Nogales	0.0778958
Scarsdale	0.0778785
Charlotte	0.0776494
Hartford	0.0775261
))
(Ashkelon (desc 1994.32) (sims
Beersheba	0.258858
Haifa	0.257378
Kismayu	0.142346
Matadi	0.138661
"Port Elizabeth"	0.136982
Jericho	0.135715
Limassol	0.134484
Kizlyar	0.134359
Mankulam	0.132674
Manado	0.130393
Nablus	0.128731
Juba	0.125322
Bushehr	0.122992
Posoltega	0.122744
Cacak	0.121313
Atambua	0.120873
Baalbek	0.120658
Izmit	0.119985
Durres	0.118559
Ensenada	0.117895
Larnaca	0.11649
Lhokseumawe	0.116444
Kisumu	0.115992
Eilat	0.115768
Kandy	0.114673
Kalemie	0.114159
Mosul	0.112284
Antalya	0.112019
Marjayoun	0.11188
NIS	0.109793
Kragujevac	0.108838
Gnjilane	0.108715
Multan	0.108636
Urosevac	0.108418
Trincomalee	0.107737
Saida	0.107677
Basra	0.107626
Bethlehem	0.107131
Beira	0.106723
Kuito	0.105754
Vitoria	0.105455
Gudermes	0.105397
Uvira	0.105147
Hillsboro	0.10359
Vladikavkaz	0.103292
Golcuk	0.103233
Leskovac	0.103176
Najaf	0.102912
Tapachula	0.102727
Taloqan	0.102334
Nago	0.102254
Cebu	0.102123
Ismailia	0.101892
Jenin	0.101808
Malaga	0.101416
Ur	0.100836
Ballymoney	0.100442
Brixton	0.100256
Ramallah	0.100068
Omagh	0.100025
Batticaloa	0.0996608
Tachilek	0.0995674
Srbica	0.098065
Aswan	0.0980433
"San Sebastian"	0.0978304
Sihanoukville	0.097765
Sochi	0.0976114
Davao	0.0969633
Izmir	0.096724
Haicheng	0.0964456
Nazareth	0.0962196
"San Cristobal"	0.0961871
Sidon	0.0957968
Galle	0.0955796
Gdansk	0.0954305
Merca	0.0945817
Bukavu	0.0942574
Aachen	0.0935586
Makeni	0.0935287
"San Pedro Sula"	0.092548
Casas	0.0923239
Luxor	0.0923101
Poughkeepsie	0.0917434
Catania	0.0910761
Kismaio	0.0910598
Baoding	0.0908237
Novosibirsk	0.0905178
Bursa	0.0901042
Diyarbakir	0.0899936
Jalalabad	0.0899382
Weifang	0.0898989
Klina	0.0895046
"La Paz"	0.0893959
Herat	0.0890664
Ceyhan	0.0890029
Shali	0.0888259
Dundalk	0.0886659
Rafah	0.0885803
"Tel Aviv"	0.0883064
Acapulco	0.0879887
Odessa	0.0879712
Hempstead	0.0878095
Guayaquil	0.0873305
Sevastopol	0.0872191
Hyderabad	0.0870258
Zamboanga	0.0864776
Orahovac	0.0858454
Wildwood	0.0858104
Walkerton	0.0855886
Mazar-i-Sharif	0.0855882
Pancevo	0.0854853
Bulawayo	0.085299
Shashi	0.0852902
Murmansk	0.0851761
Vlore	0.0850849
Talipao	0.0850772
Urus-Martan	0.084506
Salonika	0.0841791
Baotou	0.0838903
"Ocean City"	0.0836694
"Del Rio"	0.0832933
Ibadan	0.0831309
Youngstown	0.0828769
Xuzhou	0.0825459
Zhangzhou	0.0821768
Tuzla	0.0816759
"Suva Reka"	0.0816393
Pusan	0.0815912
"Ciudad Juarez"	0.0814291
Brcko	0.0810805
Bamiyan	0.0808636
Chamonix	0.0808438
Dhahran	0.0805844
Aqaba	0.0802413
Juarez	0.0800883
Kailahun	0.0800263
Warri	0.0799105
Jinzhou	0.0796853
Inchon	0.0794001
Luoyang	0.0792864
PEC	0.0792756
Kindu	0.0786506
CAMILLA	0.078522
Babylon	0.0784595
Puebla	0.0784402
Nabatiyeh	0.0783251
Golmud	0.0780352
"Sinai Peninsula"	0.0779224
Cartagena	0.0776097
Jezzine	0.0773967
Sapporo	0.0771527
Medellin	0.0771055
Baidoa	0.0768922
Quetta	0.0768414
"Port Said"	0.0767315
"Gaza Strip"	0.0765278
Sanya	0.0763029
Bayonne	0.0761566
Zhangjiagang	0.0757096
"Novi Sad"	0.0755876
Moshi	0.0755574
Kilinochchi	0.0755543
Isfahan	0.0751127
Skaneateles	0.0743618
Nagasaki	0.0742286
Peshawar	0.0742208
"Banja Luka"	0.0740843
Rawalpindi	0.0740778
Mitrovica	0.0739567
"Kosovska Mitrovica"	0.0739432
Pattaya	0.0738067
Mombasa	0.073727
Adana	0.0734662
Datong	0.0733792
Princeville	0.073274
Gulu	0.0732713
Krakow	0.0730669
Haines	0.0729276
Elmira	0.0729261
Trieste	0.0728984
BRIGHTON	0.0727858
Irbil	0.0726043
Kijevo	0.0725601
Pailin	0.0725309
Prizren	0.0725118
Wenzhou	0.0724124
Huntsville	0.0723653
Hebron	0.0723363
Jamestown	0.0723
Assab	0.0717462
Zhongshan	0.0716992
Tyre	0.0715539
Antwerp	0.0715362
Khost	0.0712053
ASHEVILLE	0.0710669
Gisenyi	0.0710666
Plata	0.0709894
Christchurch	0.0708616
Mandalay	0.0708046
Sirte	0.0707589
))
(Ashkhabad (desc 1145.66) (sims
Bamako	0.255319
Gaborone	0.223618
Bishkek	0.21776
Chisinau	0.202445
"Nigerian capital"	0.196229
MANAMA	0.188929
Windhoek	0.188796
Tashkent	0.18845
Alma-Ata	0.182325
Ouagadougou	0.176931
Vilnius	0.175147
Muscat	0.174606
Astana	0.164603
Libreville	0.164308
Lome	0.163695
Mbabane	0.160266
Vladikavkaz	0.153
Denpasar	0.149018
"Egyptian capital"	0.145866
"Abu Dhabi"	0.144953
Tbilisi	0.144599
Vientiane	0.144181
Dushanbe	0.142983
Minsk	0.139235
Riyadh	0.139184
Maseru	0.136525
Sirte	0.135069
"Bandar Seri Begawan"	0.133184
Doha	0.131486
Almaty	0.131107
Accra	0.130653
Rabat	0.130303
Pretoria	0.13013
Yaounde	0.129976
BLANTYRE	0.129941
Ndola	0.127448
Chennai	0.12401
"ALMA ATA"	0.123488
Tallinn	0.123215
Jayapura	0.122082
Asuncion	0.121648
Kuching	0.120953
Conakry	0.118572
Moroni	0.118282
Yerevan	0.116431
Oslo	0.115586
Tripoli	0.115231
Bangalore	0.114331
Jeddah	0.114152
Shiraz	0.113402
Lusaka	0.112341
Abidjan	0.111554
Asmara	0.110986
Charikar	0.110577
Cartagena	0.110085
Helsinki	0.109838
SOFIA	0.109651
Abuja	0.109481
Taloqan	0.10911
PATNA	0.108998
Kyoto	0.108679
KIEV	0.108533
PYONGYANG	0.107606
"Malaysian capital"	0.106253
Luxemburg	0.105881
Algiers	0.10508
Kupang	0.104775
Manado	0.104551
Baku	0.104537
Bangui	0.10444
NICOSIA	0.1044
Yinchuan	0.104271
Lucknow	0.103742
Kigali	0.102806
Ljubljana	0.102668
Damascus	0.101113
Merida	0.100853
Jalalabad	0.0997807
Guiyang	0.0996746
"April, @@@@"	0.0987178
BRATISLAVA	0.0983803
Taba	0.0982482
sanatorium	0.0977188
"Ulan Bator"	0.0970002
CARACAS	0.0969786
Isfahan	0.0969159
BRASILIA	0.0967179
HANOI	0.0955534
"San Salvador"	0.0951887
Davao	0.0950082
Bahraini	0.0949088
Valletta	0.0944862
Beidaihe	0.0944355
Arusha	0.0942851
Mashhad	0.0936909
Ibadan	0.0928707
Srinagar	0.092578
"Algerian capital"	0.0924363
Krasnoyarsk	0.0923423
Changsha	0.0912107
Subic	0.0910698
Belfast	0.0903578
Kunming	0.0890162
Entebbe	0.0889414
"Victoria Falls"	0.0889408
Medan	0.0889068
Podgorica	0.0886312
Kandy	0.088614
Basle	0.0876463
"St Petersburg"	0.0876423
"Addis Ababa"	0.0872777
MAPUTO	0.0869691
Cochabamba	0.0864382
Peshawar	0.0864052
Marrakesh	0.0863826
LISBON	0.0863159
"Banja Luka"	0.0862368
"PETALING JAYA"	0.0860492
Nanning	0.0856904
Dakar	0.0852037
Shijiazhuang	0.0850177
Lanzhou	0.0849645
Hohhot	0.0848227
Prague	0.0838244
Skopje	0.0837667
CHANGCHUN	0.0836049
Teheran	0.0835626
Harbin	0.0825649
Durban	0.0823871
Tabriz	0.0823343
Lahore	0.0820577
TUNIS	0.0820047
Wellington	0.0817541
Nanchang	0.0816094
Surabaya	0.0814284
"October, @@@@"	0.0805632
Urumqi	0.0802336
Hefei	0.0798711
Xining	0.0795335
Bujumbura	0.0793195
Edinburgh	0.079254
Christchurch	0.0790862
MONTEVIDEO	0.0790237
Hobart	0.0782446
"Montego Bay"	0.0779725
"Iranian capital"	0.0777272
Cardiff	0.077727
Kandahar	0.0768281
Calcutta	0.0767387
RAMBOUILLET	0.076374
Jinan	0.0759813
Haikou	0.0759375
Santiago	0.0758153
Zhengzhou	0.075426
el-Sheikh	0.0751251
Aqaba	0.0750714
Hannover	0.0750412
Togo	0.0749807
Bandung	0.0748541
Managua	0.0745605
Katmandu	0.0742384
mid-September	0.0742335
SANAA	0.0742077
"Cuban capital"	0.0732289
Hyderabad	0.0732178
"Santo Domingo"	0.0726787
Dodoma	0.0725985
Cebu	0.0723082
Sapporo	0.072209
Nakuru	0.072003
Reykjavik	0.0716391
Quetta	0.0715866
"Okinawa Prefecture"	0.0714225
BUCHAREST	0.0709337
Phuket	0.0707802
Lubumbashi	0.0698056
"CHIANG MAI"	0.0697397
Riga	0.0695519
Davos	0.0683553
"Russian capital"	0.0683227
Catania	0.0683226
Florence	0.0680481
Eilat	0.0678045
Langkawi	0.0677212
Sharjah	0.0677062
Cyberjaya	0.0675646
Winnipeg	0.0675205
Berne	0.0672075
Quito	0.0668706
Bern	0.0668658
Suva	0.0664027
Bulawayo	0.0656438
Kuito	0.0656161
Brazzaville	0.0653192
Ghent	0.0650949
Makhachkala	0.0649329
Pattaya	0.0648996
Strasbourg	0.0646895
"Subic Bay"	0.0646226
Taiyuan	0.0639998
))
(Ashland (desc 2943.98) (sims
Chatham	0.13604
Hillsboro	0.11079
Williamstown	0.108646
Danville	0.103888
Medford	0.0992326
Winchester	0.095443
Falmouth	0.0949052
Xenia	0.091835
Springfield	0.0916787
Gloucester	0.084807
Princeville	0.0831755
Brockton	0.0827361
Petersburg	0.0826263
Salem	0.0823909
Herndon	0.0786922
"Crystal City"	0.0771318
LaGrange	0.0767533
Walpole	0.0756921
Mansfield	0.0749264
Eugene	0.0744477
Charlottesville	0.0742411
Bridgewater	0.0741468
Reston	0.0740246
Pittsfield	0.0734474
Cornelius	0.0725122
Lexington	0.0724205
Elgin	0.0723714
"Happy Valley"	0.0715251
Braintree	0.0708104
Deerfield	0.0706558
Plattsburgh	0.0697483
Needham	0.0694854
Naperville	0.0689099
Acton	0.0684311
Malden	0.0682758
Riverdale	0.0682486
Chappaqua	0.0682211
Brentwood	0.0681538
Rockport	0.067389
Bridgehampton	0.0666911
Jamestown	0.0661996
Fredericksburg	0.0656684
Carlisle	0.0652876
Quincy	0.0652573
Lenox	0.064683
"Highland Park"	0.0632687
Brewster	0.0627943
Bloomington	0.0627941
Cicero	0.0620951
Piedmont	0.0615875
BRIGHTON	0.0615849
Evanston	0.0612028
Groton	0.0611911
"Fall River"	0.0610346
Sausalito	0.0606961
Peekskill	0.0606681
Englewood	0.0606167
Montclair	0.0605149
Burlington	0.0602292
Melrose	0.0600309
"Mount Vernon"	0.0599973
Blacksburg	0.059813
Carmel	0.0597523
Hopkinton	0.0597491
"Woods Hole"	0.0596362
"Santa Clarita"	0.0596123
Middletown	0.0593574
Bedford	0.0592729
Kensington	0.0589296
Posoltega	0.0589286
"Grand Rapids"	0.0585218
Waterloo	0.0582821
Charlestown	0.0580594
Kettering	0.0576143
Ipswich	0.0567933
Somerville	0.0564118
Roanoke	0.0564029
"West Paducah"	0.0563834
Fairfield	0.0563124
Wellesley	0.0553339
Oxnard	0.055311
Astoria	0.0552981
Elmira	0.0552362
"Virginia Beach"	0.0551789
"East St. Louis"	0.0550406
"Garden City"	0.0550143
Scarsdale	0.0549775
Framingham	0.0549758
ATTLEBORO	0.0548234
"Bowling Green"	0.0548127
Glendale	0.0543423
Chesapeake	0.05434
"New London"	0.0542243
Stamford	0.0541901
Eureka	0.0541579
Wheaton	0.0538546
Marlborough	0.0538301
Peabody	0.0537645
Weifang	0.053733
Watertown	0.0536537
Fez	0.0536246
ASHEVILLE	0.0535196
Baalbek	0.052822
Milford	0.0527714
Plano	0.052643
Dorchester	0.0526344
Easton	0.0524933
Amherst	0.0523986
Holyoke	0.0523671
Palmdale	0.0519837
franklin	0.0519427
Sarasota	0.0519319
Stockbridge	0.05183
"Cape Cod"	0.0517857
Prescott	0.0517315
Marion	0.0517078
Westfield	0.0515713
Weston	0.0515148
Reseda	0.0513601
Raleigh	0.0512022
Hattiesburg	0.0511908
Ensenada	0.051149
Pensacola	0.0511256
Dundee	0.0510244
Flagstaff	0.0509293
Wilmington	0.0507483
Clearwater	0.0504847
"Hyannis Port"	0.0503565
Peoria	0.0502064
"Fayette County"	0.0501785
"Jackson County"	0.050082
"Fort Worth-Dallas"	0.0500498
Greenwich	0.0500088
riverside	0.049956
Montauk	0.0498093
Northampton	0.0497844
Sparta	0.0497662
Decatur	0.0497653
Middleton	0.0497534
"Hollywood Hills"	0.0493583
"Baton Rouge"	0.0493299
Youngstown	0.0492706
Montpelier	0.0492215
Akron	0.0491286
Provincetown	0.0491129
Spokane	0.0489511
"Saratoga Springs"	0.048895
"Hyde Park"	0.0488437
Belacevac	0.048813
"Lake Tahoe"	0.0487583
canton	0.0487149
"Forest Hills"	0.0486165
Milton	0.0486088
bethel	0.0484938
Barrington	0.048474
Utica	0.0482336
Longview	0.0482262
Clifton	0.0481667
"Santa Fe"	0.0481234
lakeside	0.0477433
Shipman	0.0476701
Fayetteville	0.0476499
Scranton	0.047522
"Jefferson County"	0.0474613
Yonkers	0.0471694
Jericho	0.0470363
Florence	0.0470298
"Cook County"	0.0469144
Missoula	0.0467933
Spoleto	0.0466923
Darien	0.0465776
"Bel Air"	0.0465709
"Mission Viejo"	0.0465354
Carthage	0.0464534
"Fairfax County"	0.0463991
Dearborn	0.0463039
Macon	0.0462789
Zhangjiakou	0.0461926
Portsmouth	0.0460671
Sunnyvale	0.046028
Lynchburg	0.0459554
Williamsburg	0.0458602
Smithfield	0.0458446
Freeport	0.0458316
Greenfield	0.0457913
Woburn	0.0456877
Xoom.com	0.0456259
"Iranian capital"	0.0454696
"Palm Beach Gardens"	0.0454017
Fairfax	0.0453894
Stratford	0.0453824
Hartford	0.0453603
Covington	0.0452091
"La Jolla"	0.0451135
Maariv	0.045112
Roxbury	0.0450569
"New Bedford"	0.0449262
"Palm Springs"	0.044908
Qufu	0.0447827
"Cherry Hill"	0.0446996
))
(Ashley (desc 7947.77) (sims
Jessica	0.154798
Kristin	0.142665
Jennifer	0.129803
Eileen	0.12067
Michelle	0.120026
Emily	0.11398
Jill	0.11022
Amy	0.109807
Samantha	0.109096
Julia	0.108919
Hannah	0.106212
Connie	0.104865
Diane	0.104148
Erin	0.104073
Patricia	0.101735
Sarah	0.1016
Nancy	0.101252
Beth	0.101161
Katie	0.100999
Laura	0.100404
Stephanie	0.100339
Julie	0.100322
Karenna	0.100292
Alexandra	0.10021
Shannon	0.0997789
Andrea	0.0986793
Debbie	0.0984132
Peggy	0.0980871
Audrey	0.097399
Megan	0.0972593
Kathleen	0.0968469
ANN	0.0968152
Susan	0.0956435
Jenna	0.0947825
Cindy	0.0946291
Naomi	0.0945804
Carolyn	0.0932246
Lisa	0.0929729
Kathryn	0.0919876
Barbara	0.0914518
Courtney	0.0910439
Natalie	0.0910001
Evelyn	0.0900559
Amanda	0.089912
Caroline	0.0893846
alicia	0.0892553
anna	0.089154
Catherine	0.0887125
Nicole	0.087964
Monique	0.0879189
Beatrice	0.0876433
Sheryl	0.0875814
Valerie	0.0866597
Rebecca	0.0864214
Anne	0.0862866
Jacqueline	0.0862089
Rachel	0.0858039
Edith	0.0852288
Maria	0.0844122
Lori	0.0840344
colleen	0.0826011
Michele	0.0822138
Sonia	0.0818808
Nikki	0.0818694
Nora	0.0817634
Irina	0.0806461
Matthew	0.0802196
Kimberly	0.0800653
Olga	0.0796266
Christina	0.0796019
Lydia	0.0795949
Lauren	0.0792371
Shawn	0.0791981
Brenda	0.0789218
Vanessa	0.0786272
ALLISON	0.0785704
Meredith	0.0785397
Danielle	0.0784466
Meg	0.0782191
Kay	0.0776696
Kate	0.0775591
heather	0.0774512
Sasha	0.0773294
Erica	0.0773079
Margaret	0.0770249
Karen	0.0770182
Jacob	0.0770122
Dorothy	0.0763757
Robin	0.0762282
Vivian	0.075968
Martha	0.0759338
Beverly	0.0759061
"Karenna Gore Schiff"	0.0755845
Stacy	0.0754718
Nicholas	0.075175
Molly	0.0747542
Doris	0.0745427
Shirley	0.074387
Sara	0.0743518
Paulina	0.0740706
Melissa	0.0738293
Elizabeth	0.0735593
TARA	0.073455
Ellen	0.0734267
Suzanne	0.0733823
Louise	0.0733468
Vera	0.0732813
Chris	0.0732494
Christine	0.0729851
Kelly	0.0728843
Jane	0.0728699
Camille	0.0722759
Katherine	0.072273
JoAnne	0.0721415
Kathy	0.0720685
grandchild	0.0719654
Marie	0.0715732
Elaine	0.0713454
Melanie	0.070946
Linda	0.0708912
Brooke	0.0708156
Mahoney	0.0706688
Judy	0.0705059
Denise	0.0703002
Lynne	0.0701788
Serena	0.0701199
Olivia	0.0701177
Jenny	0.0700589
Pamela	0.0699285
Pam	0.0698064
Mary	0.0695074
Josephine	0.0692484
Sophie	0.069064
Menuhin	0.068979
Theresa	0.0689183
Veronica	0.0686828
Carrie	0.0683332
Renee	0.0683253
Helen	0.0683174
Clara	0.0682156
Marisleysis	0.0680804
Jessie	0.0678748
Bruce	0.0678523
Carol	0.0677613
Sylvia	0.0677158
Mona	0.0675335
Cheryl	0.0673018
Fiorina	0.0673
Cody	0.0672441
Tina	0.0672335
Liz	0.0669328
hazel	0.0668877
Lynn	0.0668727
Steven	0.0666402
Leslie	0.0664368
Esther	0.06639
Portman	0.0663455
Emma	0.0663239
Kyle	0.0662227
Jeffrey	0.0661803
Leah	0.0661081
Claudia	0.0657879
Lucy	0.0654667
Michael	0.0653396
Vicki	0.0648292
Cathy	0.0645884
Leigh	0.0645599
Hadley	0.0645517
Sheedy	0.0645441
Midler	0.0644538
Brandon	0.0644534
gloria	0.0644531
Jackie	0.0642261
Wendy	0.0642163
"Leigh Ann"	0.064155
Joey	0.0641303
Robert	0.0640762
"Jane Fonda"	0.0640476
Greenwald	0.0638837
Polly	0.0638707
Hamlin	0.0637714
Josh	0.0634184
David	0.0631974
Alice	0.0631811
Lois	0.0631627
Jason	0.063107
Donna	0.0627702
Cynthia	0.0627408
Laurie	0.0627405
Annie	0.0627358
first-grader	0.0627232
Joshua	0.0625896
Eric	0.0625025
Roberson	0.0624941
Duffy	0.0624603
Pauline	0.0623818
Wynonna	0.062367
Deborah	0.0623293
Tipper	0.0622775
Juli	0.0621458
))
("Ashley Judd" (desc 3584.82) (sims
"Sally Field"	0.188428
"John Lithgow"	0.15762
"Samuel L. Jackson"	0.144074
"Natalie Portman"	0.12613
"Liam Neeson"	0.118591
"Susan Sarandon"	0.113693
"Catherine Deneuve"	0.112674
"Jessica Lange"	0.107788
"Joan Allen"	0.107195
"Michael Caine"	0.106727
"Geena Davis"	0.1038
"Clint Eastwood"	0.100194
"Joseph Fiennes"	0.0996986
"Laurence Fishburne"	0.0976423
"Jennifer Love Hewitt"	0.0970344
"Janet McTeer"	0.0967275
"Jeff Bridges"	0.0938577
"Wesley Snipes"	0.0931178
"Geoffrey Rush"	0.0923869
"James Van Der Beek"	0.0919291
"Anne Heche"	0.0902836
"Helen Mirren"	0.0869092
"Nicole Kidman"	0.0868968
"Minnie Driver"	0.0868212
"Cate Blanchett"	0.0862841
"Halle Berry"	0.086259
"Kirsten Dunst"	0.0856191
"Gwyneth Paltrow"	0.0849237
"Aidan Quinn"	0.0842352
"Vanessa Redgrave"	0.0841829
"Ewan McGregor"	0.0832824
"Jennifer Aniston"	0.0831318
"Leelee Sobieski"	0.0830326
"Matthew Broderick"	0.0826939
"Stanley Tucci"	0.0823285
"Claire Danes"	0.0817465
"Angela Bassett"	0.0809408
"Meryl Streep"	0.0809224
"Sissy Spacek"	0.0808437
"Sharon Stone"	0.0791711
"Hilary Swank"	0.0789464
"Natasha Richardson"	0.0786643
"Drew Barrymore"	0.0786623
"Richard Gere"	0.0784641
"Uma Thurman"	0.0782145
"John Cleese"	0.0780322
"Brenda Blethyn"	0.078005
"Bill Pullman"	0.0777989
"Christian Bale"	0.0766002
"Bridget Fonda"	0.0759171
"Frances McDormand"	0.0755973
"Jude Law"	0.0755204
"Tom Selleck"	0.0754901
"Heather Graham"	0.0744396
"Emily Watson"	0.0738442
"Holly Hunter"	0.0727307
"Donald Sutherland"	0.0726955
"Kevin Kline"	0.0718414
"Judi Dench"	0.0710981
"Kathy Bates"	0.0694678
"Kate Winslet"	0.0694386
"Annette Bening"	0.0693145
"Matt Damon"	0.0692329
"Stockard Channing"	0.069013
Tucci	0.0688904
"Kevin Bacon"	0.0688727
"Martin Lawrence"	0.0688395
"Russell Crowe"	0.0686843
"Calista Flockhart"	0.0686656
"Hugh Grant"	0.0681366
"Ally Sheedy"	0.0672411
"Julia Roberts"	0.0672028
"Vanessa Williams"	0.0669601
"Melanie Griffith"	0.066603
"Brooke Shields"	0.0663911
"Juliette Lewis"	0.0659161
"Sean Penn"	0.0655462
"Nathan Lane"	0.065474
"Liv Tyler"	0.0652719
"Carmen Electra"	0.0649877
"Brian Dennehy"	0.0648005
"Martin Sheen"	0.0642617
"Elizabeth Hurley"	0.0642524
"Helen Hunt"	0.0642324
"Alicia Silverstone"	0.0635858
"Jeremy Irons"	0.0633624
"Glenn Close"	0.0630343
"Camryn Manheim"	0.062917
"Jodie Foster"	0.062866
"Sigourney Weaver"	0.0628612
"Ed Harris"	0.0628501
"Tommy Lee Jones"	0.0626747
"James Earl Jones"	0.0622546
"Penelope Cruz"	0.0620924
"Ethan Hawke"	0.0614986
"Edward Norton"	0.0612316
"Cameron Diaz"	0.0610577
Cleese	0.0606578
"Faye Dunaway"	0.0602204
"Jane Fonda"	0.0599728
"Harvey Keitel"	0.0599258
"Sean Connery"	0.059923
"Richard Dreyfuss"	0.0598698
"Bernadette Peters"	0.0595717
"Michelle Pfeiffer"	0.0594018
"Rob Lowe"	0.0593316
"Matthew Perry"	0.0587272
"Rupert Everett"	0.0586256
"Ray Romano"	0.058519
"Ian McKellen"	0.058501
"Nicolas Cage"	0.0582094
"Meg Ryan"	0.0581006
"James Woods"	0.0580055
"Diana Ross"	0.0579801
"Nick Nolte"	0.0577448
"Robert Downey Jr."	0.0574446
"Tobey Maguire"	0.0574345
"Jeff Daniels"	0.057339
"Sidney Poitier"	0.0572305
"Kathleen Turner"	0.0570841
"Chevy Chase"	0.0568697
"Woody Harrelson"	0.0568598
"Chow Yun-Fat"	0.0566869
"Mark Wahlberg"	0.0563089
"Taye Diggs"	0.0562029
"Kris Kristofferson"	0.0561611
"Jennifer Lopez"	0.0559988
"Roberto Benigni"	0.0558536
"Reese Witherspoon"	0.0558435
"Winona Ryder"	0.0558165
"Ralph Fiennes"	0.0556496
"Denis Leary"	0.0553835
"Demi Moore"	0.0552524
"Gene Hackman"	0.05514
"David Spade"	0.0546845
"Walter Matthau"	0.0546475
"David Hyde Pierce"	0.0544331
"Salma Hayek"	0.0543541
"Danny DeVito"	0.0542778
"Cybill Shepherd"	0.0541263
"Jamie Foxx"	0.0540873
"John Leguizamo"	0.0539014
"Whoopi Goldberg"	0.0538488
"Diane Keaton"	0.0538106
"Jon Voight"	0.0536016
"Sarah Michelle Gellar"	0.0535989
Costner	0.0535845
"John Cusack"	0.0535453
"Famke Janssen"	0.053486
"Dylan McDermott"	0.05337
"Dame Judi Dench"	0.0533446
"Henry Fonda"	0.0532987
"David Arquette"	0.0529463
"Jay Mohr"	0.0529185
"Ian Holm"	0.0528871
"Ted Danson"	0.0527232
Streep	0.0526111
"Andre Braugher"	0.0524094
"Ben Stiller"	0.0519521
"Keanu Reeves"	0.0518032
"Edward Furlong"	0.0516603
"Stephen Rea"	0.0516359
"Marlene Dietrich"	0.0514249
"Christina Ricci"	0.051351
"Robert DeNiro"	0.05131
"Lauren Bacall"	0.0512149
"Burt Lancaster"	0.0511552
"Sela Ward"	0.0509484
"Sandra Bullock"	0.0508835
"Norm MacDonald"	0.0506923
"Val Kilmer"	0.0506105
"Billy Crudup"	0.0505518
"Alfre Woodard"	0.0504969
Torvalds	0.0504269
"Johnny Depp"	0.0500863
"Michael J. Fox"	0.0499386
"Elizabeth Taylor"	0.0499287
"Tim Robbins"	0.0499267
"Matthew McConaughey"	0.0495618
"Gregory Peck"	0.0495503
"William Hurt"	0.0494794
"Brendan Fraser"	0.0488985
"Tim Allen"	0.0488131
"Chloe Sevigny"	0.0485282
"Vince Vaughn"	0.0484227
"Tracey Ullman"	0.0482093
"Michael Douglas"	0.047978
"Spencer Tracy"	0.0479303
"Toni Collette"	0.0478992
"Carol Burnett"	0.047819
"Jason Alexander"	0.0477889
"Jimmy Smits"	0.0475856
"Warren Beatty"	0.0473314
"Jack Lemmon"	0.0472886
"Jeremy Northam"	0.0471385
"Renee Zellweger"	0.0469291
"Cuba Gooding Jr."	0.0468479
"Ben Affleck"	0.0464315
"Alec Baldwin"	0.0462369
Nicolas	0.0461322
))
(Ashrawi (desc 820.27) (sims
Bruton	0.195205
Markovic	0.171624
"Hanan Ashrawi"	0.16848
"Faisal Husseini"	0.158393
Meguid	0.156955
Shaath	0.155485
Fink	0.153138
Kasoulides	0.153017
McGuinness	0.152488
Jayakumar	0.152198
"Alexander Shokhin"	0.151891
Jovanovic	0.15036
Husseini	0.146824
DeFrantz	0.14563
Zeng	0.145235
Abdel-Meguid	0.144159
Erekat	0.144029
Lundberg	0.143185
Rodionov	0.142076
Hiett	0.141445
Cao	0.141203
Ruehe	0.140777
Mathews	0.140617
Meissner	0.139695
Sharma	0.139214
Talebi	0.136994
"de Charette"	0.136774
Boueiz	0.136382
Rossotti	0.136257
Patten	0.13572
Sarid	0.134353
"Haim Ramon"	0.134084
Ciller	0.133906
Ziegler	0.133861
Grasso	0.132749
Chenoweth	0.132395
Molinari	0.131945
McDaniel	0.13038
Mukora	0.13032
Kulikov	0.13022
Cleary	0.130133
Hallinan	0.129337
Mowlam	0.129123
Arbour	0.128624
Kazhegeldin	0.127709
Bulatovic	0.127619
Yazdi	0.127607
Henley	0.12751
Lazarenko	0.127009
Shriver	0.126162
Lowry	0.125606
Maslyukov	0.124866
Soto	0.124785
Moratinos	0.124318
Brittan	0.124185
"Yuri Maslyukov"	0.124104
Neeman	0.123873
Lamberth	0.122765
Alarcon	0.122509
Insulza	0.122421
Goldin	0.122398
"Yossi Sarid"	0.121975
Gosper	0.121228
Baer	0.120999
Beilin	0.120323
Koirala	0.120224
Kurth	0.120185
Rosario	0.119427
Lawler	0.119151
Rivlin	0.119144
Napolitano	0.118947
Biden	0.118849
Bellamy	0.118645
Jia	0.118152
Greco	0.118057
Sheehy	0.118043
Shamshad	0.117908
Severino	0.117601
Broaddrick	0.11757
Fiorina	0.117237
Tuttle	0.116591
Fino	0.116541
Kang	0.11642
Bishara	0.115886
Wolfson	0.115857
Ritter	0.115073
Landau	0.11479
Hoss	0.114654
Karimov	0.1144
Bildt	0.114258
Aventajado	0.114062
Lovett	0.113971
Orton	0.113188
"Yossi Beilin"	0.113135
"Mo Mowlam"	0.113065
Dowd	0.112974
Buthelezi	0.112471
Singson	0.112287
Velayati	0.112248
Seleznyov	0.111857
Kraus	0.111714
Shareh	0.111699
Suarez	0.111565
Copeland	0.111562
Lau	0.111418
Bhattarai	0.111223
Guterres	0.111077
Kyprianou	0.110528
Tsvangirai	0.110322
Mucha	0.110259
Allchin	0.110171
Ben-Ami	0.110129
Boles	0.110098
Dunham	0.109962
Zia	0.109779
"Speaker Ali Akbar Nateq-Nouri"	0.109648
Neulander	0.109504
Yastrzhembsky	0.109016
Donnelly	0.108956
Waigel	0.108863
Nemtsov	0.108734
Hanley	0.108656
Nasrallah	0.108613
Mikhailov	0.108539
Feldman	0.10843
McLane	0.108423
Whaley	0.108358
Noe	0.108241
Alatas	0.107949
Santer	0.107942
Zhirinovsky	0.107804
Siazon	0.107771
Ouattara	0.107753
Oliveira	0.107455
"Tim Fischer"	0.107352
McCurry	0.106186
"Igor Sergeyev"	0.106052
Madden	0.105957
Sumaye	0.105953
"Salim Hoss"	0.105942
Carollo	0.105777
Wiggins	0.105713
Gonzales	0.105332
Baum	0.105079
Sheehan	0.104839
Petersen	0.104712
Sheng	0.104685
"Wang Zhongyu"	0.104548
Ogata	0.104527
Eubanks	0.104476
Kagalovsky	0.104473
Bizimungu	0.104175
Zou	0.104135
Ikimi	0.104114
Pape	0.104051
Betts	0.103879
Sergeyev	0.103829
Arens	0.103718
Warshaw	0.103704
"Kiichi Miyazawa"	0.103422
Fuentes	0.10332
Chubais	0.103239
Shipley	0.103182
Menchu	0.103113
Wilhelm	0.103068
Sahnoun	0.102879
Sorensen	0.102806
Saleh	0.102784
Midler	0.102582
Berri	0.102528
Muir	0.102478
Lari	0.102376
Mei	0.10217
"Mikhail Kasyanov"	0.102077
Prewitt	0.102022
Advani	0.101721
Mullen	0.101712
Kostov	0.101441
guo	0.101427
Hodler	0.101366
Verney	0.101321
Simons	0.101235
Ecevit	0.100989
Strauss-Kahn	0.100698
krueger	0.100675
Rudman	0.100651
Juma	0.100648
Hamlin	0.100409
Aguirre	0.100382
Manuel	0.100307
Mott	0.100229
"Dan Meridor"	0.100053
Tsang	0.100004
Jeffers	0.0999672
Hauser	0.0997767
Waxman	0.0997438
Yadav	0.0997336
Liao	0.0996956
Flanagan	0.0995309
"Huang Ju"	0.0995094
))
(ashtray (desc 4498.66) (sims
urn	0.088674
paperweight	0.0829427
"water bottle"	0.082232
pail	0.0804564
decanter	0.0799598
vase	0.0764688
"trash can"	0.0762979
"cookie jar"	0.0725558
jar	0.0709284
"water jug"	0.0709207
teapot	0.0678998
sundial	0.0669128
container	0.0668456
bathtub	0.063166
"beer bottle"	0.0617212
"soda can"	0.061234
"grocery bag"	0.0609149
"display case"	0.059577
"ballpoint pen"	0.0578132
jug	0.0575128
windscreen	0.0566181
lamp	0.0561364
tumbler	0.0557884
wrapper	0.0556057
Igloo	0.0552319
birdbath	0.0552288
mug	0.0547927
"shower stall"	0.0547856
"walking stick"	0.0542405
watchtower	0.053254
tampon	0.0531728
Dumpsters	0.0529181
"gas tank"	0.052535
vial	0.0522769
"hypodermic needle"	0.051932
pinata	0.0514263
bucket	0.0514184
ramekins	0.0507425
bookcase	0.0506346
"garbage can"	0.0505334
"trash bin"	0.0500238
"picture frame"	0.049895
Dumpster	0.0496758
shard	0.0493642
kettle	0.0491358
visor	0.0488941
overcoat	0.0488513
"wine bottle"	0.0480535
hanger	0.0476084
pane	0.0475944
"treasure chest"	0.0475697
tray	0.0470904
saucer	0.0469321
"cigarette lighter"	0.045962
pillowcase	0.0456767
"glove compartment"	0.0456155
kitchenware	0.0455897
silo	0.0455714
skateboard	0.0453677
coffin	0.0451229
"window frame"	0.0451177
"fire extinguisher"	0.0446126
crate	0.0443925
dustbin	0.0442819
"coffee mug"	0.0442807
"water tank"	0.0437457
menorah	0.0432827
"file cabinet"	0.0431876
"dining table"	0.0431491
tombstone	0.043128
cistern	0.0431109
"petrol bomb"	0.0428643
mailbox	0.0427115
"pocket watch"	0.0423788
tub	0.0422447
"boarding pass"	0.0421825
"beer can"	0.0420835
"deposit box"	0.0419908
"coffee table"	0.0418097
vas	0.0415696
"coffee cup"	0.0413665
cylinder	0.0413605
sunroof	0.04123
beaker	0.0411185
VAT	0.041106
kiln	0.0410326
"measuring cup"	0.0408564
"rear window"	0.0407429
"tennis racket"	0.0406607
wastebasket	0.0405569
purifier	0.0404753
"supper club"	0.0403542
lean-to	0.0403021
hut	0.0401557
"kitchen appliance"	0.0401149
"rubber boot"	0.0401046
))
(Asia (desc 126816) (sims
Africa	0.245845
"Latin America"	0.245779
"Southeast Asia"	0.241656
Europe	0.237947
"East Asia"	0.210971
region	0.199521
"Middle East"	0.177841
"South America"	0.175882
Japan	0.172181
"Asian country"	0.171783
China	0.168767
country	0.166645
"North America"	0.164009
"Eastern Europe"	0.162395
Russia	0.155228
"Hong Kong"	0.154877
"South Asia"	0.154797
"Western Europe"	0.153435
Thailand	0.147185
"Far East"	0.144798
Brazil	0.14249
continent	0.142454
economy	0.142111
Mexico	0.139659
Indonesia	0.139343
"United States"	0.138082
"Asian nation"	0.1368
market	0.136464
nation	0.132867
world	0.130632
sector	0.128577
"Central America"	0.127789
Asia-Pacific	0.127378
America	0.1269
India	0.126027
Malaysia	0.124681
"Central Asia"	0.123187
"South Africa"	0.123111
"South Korea"	0.122483
Singapore	0.122275
Australia	0.120212
Caribbean	0.119587
industry	0.116703
Canada	0.116605
"European country"	0.116248
Taiwan	0.115387
"African country"	0.114123
Balkans	0.114105
Philippines	0.113238
Bangladesh	0.11222
Britain	0.111939
Colombia	0.111226
Vietnam	0.109498
Germany	0.108386
mainland	0.105987
Pakistan	0.105708
Nigeria	0.104454
area	0.103931
Oceania	0.103755
ASEAN	0.103362
Macao	0.102232
Shanghai	0.101539
Egypt	0.100745
Iran	0.100086
France	0.0996627
"North Africa"	0.0992314
Kenya	0.0982874
"Asia Pacific"	0.0981459
Afghanistan	0.0980521
Cuba	0.097326
province	0.0969727
Cambodia	0.0969691
Tibet	0.0960484
"West Africa"	0.095756
"stock market"	0.0956082
Korea	0.0954039
EU	0.0951488
Iraq	0.0950422
Zimbabwe	0.0948351
city	0.0946913
"United Kingdom"	0.0936652
Ukraine	0.0935131
"world economy"	0.0933526
U.S.	0.0931595
Kosovo	0.0929863
Midwest	0.0926678
California	0.0925906
state	0.0925719
Venezuela	0.0923607
"European Union"	0.0908809
Turkey	0.090653
Italy	0.0904926
Myanmar	0.0902086
Asian	0.0899211
"Sri Lanka"	0.089773
"Saudi Arabia"	0.0896639
"rural area"	0.0895381
Albania	0.0889775
Tanzania	0.0888012
Zambia	0.0887043
central	0.0881989
pacific	0.0881463
BEIJING	0.0879732
"Soviet Union"	0.0879257
Poland	0.0878689
community	0.0877941
west	0.0876098
Argentina	0.0869452
Mozambique	0.0868516
"New Zealand"	0.0866934
"New York"	0.0865714
south	0.0863229
ROK	0.0856398
Somalia	0.0855082
Guangdong	0.0854552
"North Korea"	0.0852544
Uganda	0.084852
Haiti	0.0848015
Angola	0.0844478
Peru	0.08411
sub-region	0.0841057
Israel	0.0840933
Caucasus	0.0838201
Ireland	0.0836043
Lebanon	0.0827183
UK	0.0825406
Nepal	0.0824906
Romania	0.0824753
"Republic of Korea"	0.0822325
"Commonwealth of Independent States"	0.0821535
Honduras	0.0820822
agriculture	0.0820545
Cyprus	0.0820484
"Central Europe"	0.0820306
Ethiopia	0.0820266
Yugoslavia	0.0820243
Ecuador	0.0818766
Bulgaria	0.0809471
"Persian Gulf"	0.08079
business	0.0805049
Gulf	0.0803181
Greece	0.0802343
"African nation"	0.0801408
Algeria	0.079831
"New England"	0.0793792
Chile	0.0792291
Spain	0.0792141
Moscow	0.0788144
east	0.0782744
"bond market"	0.0779929
Bosnia	0.0778951
Hungary	0.077671
currency	0.0775045
Mediterranean	0.0773411
future	0.077304
growth	0.0771618
Republic	0.0768394
Panama	0.0766501
Washington	0.076581
Northeast	0.0765444
Texas	0.0763306
development	0.0756555
Tokyo	0.075434
Belgium	0.0753767
Mongolia	0.0752313
Switzerland	0.0748593
England	0.0747485
Mindanao	0.0746364
Syria	0.0741049
Mideast	0.0740109
Chechnya	0.0740108
LONDON	0.0738825
"western hemisphere"	0.0731578
island	0.0731367
Burundi	0.0730501
society	0.0726026
Serbia	0.0724312
Siberia	0.0723879
company	0.0722693
trade	0.0721982
"Puerto Rico"	0.072084
Sudan	0.0717836
"oil price"	0.0717699
Kazakhstan	0.0717529
"Balkan country"	0.0715093
"Third World"	0.0713082
part	0.0712315
"East Timor"	0.0710563
export	0.0710098
Portugal	0.0710014
year	0.0709565
Georgia	0.0709167
"Southern Africa"	0.0705352
hemisphere	0.0705157
Congo	0.0704154
relation	0.0702487
"Northern Ireland"	0.0701896
Jordan	0.0700876
north	0.0700565
subcontinent	0.070015
))
("Asia Pacific" (desc 3471.62) (sims
Asia-Pacific	0.206882
"East Asia"	0.141609
"West Asia"	0.129938
"Pacific Rim"	0.127405
"Asia-Pacific Region"	0.114674
"Southeast Asia"	0.11227
"Far East"	0.107588
"Northeast Asia"	0.107053
"Near East"	0.102933
Eurasia	0.102651
Oceania	0.102228
"East Asian"	0.0982334
"City Development"	0.0972236
"South Asia"	0.0925803
"Western Europe"	0.0898351
"Southern Africa"	0.0892775
"Western Pacific"	0.0883843
"Latin American"	0.0871093
"South America"	0.0869638
"South East Asia"	0.0864875
"Central Asia"	0.086403
"Latin America"	0.0842591
"Creative @@"	0.0840174
Caucasus	0.0827584
"Eastern Europe"	0.0819753
"Far Eastern"	0.0818308
"South Asian"	0.0816691
"British Isles"	0.0794711
"Central Asian"	0.0788945
"North America"	0.0779022
U.K.	0.07637
"North American"	0.0743872
"East Europe"	0.074046
"Western European"	0.0736448
Euroland	0.0717181
"Commonwealth of Independent States"	0.0712564
Scandinavia	0.069166
pacific	0.0676523
"Central America"	0.0672233
"Persian Gulf"	0.0671503
Baltic	0.0668677
"Southeast Asian"	0.0668299
"West Africa"	0.0659017
"North Africa"	0.0654959
ASEAN	0.0648968
"southern hemisphere"	0.0646419
"GE Life"	0.0643069
Caribbean	0.0638117
warrant@@	0.0635102
"United Kingdom"	0.0629551
Mideast	0.0628328
"East Africa"	0.0625122
subcontinent	0.0624225
"Pearl River Delta"	0.0611467
"Great Lakes Region"	0.0591386
Mediterranean	0.0576058
"F&AMP;N"	0.0572792
UK	0.0567274
"Central American"	0.0566344
"Asian nation"	0.0562442
e-business	0.0561874
"Group of Seven"	0.055504
"South Pacific"	0.055205
"North African"	0.0551698
CONCACAF	0.0549853
SADC	0.0548687
Ci	0.0545637
"Central Europe"	0.0545282
Tigray	0.0544858
Sakhalin	0.0537026
Balkan	0.053527
"South American"	0.0529977
"world economy"	0.0526947
ASEM	0.0525494
"Middle Eastern"	0.0525475
"Rocky Mountain"	0.0523971
sub-region	0.0522818
"North Caucasus"	0.0516568
"Central Africa"	0.0516093
hardest-hit	0.0507298
COMESA	0.050695
"Untied States"	0.0498566
ranching	0.0494173
Kagera	0.0490578
"northern hemisphere"	0.048934
"European Community"	0.0488109
"South Atlantic"	0.0484258
"Andean Group"	0.0481873
Mid-Atlantic	0.0473804
"securities business"	0.0470679
Khabarovsk	0.0468234
Kono	0.0468013
OECD	0.0465889
"Fort Worth-Dallas"	0.0464932
"California wine"	0.0464868
"Straits Times Industrials Index"	0.0464614
counterterrorism	0.0463411
E.U	0.0457711
"Humane Society"	0.0455545
"Department of Corrections"	0.0454386
CCF	0.045264
"communicable disease"	0.0448829
"Federal Emergency Management Agency"	0.0448006
"East African"	0.0445788
Russian-U.S.	0.0444077
"United Way"	0.044091
"Bordeaux wine"	0.0435565
"Commonwealth Bank"	0.0434949
Sino-Japanese	0.0434356
"Handgun Control Inc."	0.0433458
Hongkong	0.0432687
publishing	0.043098
Isthmus	0.0430343
G-@	0.0429235
PATA	0.0429008
"Israeli Foreign Ministry"	0.0427765
"Defense Agency"	0.0425745
Mekong	0.0425547
"Korean Peninsula"	0.0425516
"Bay State"	0.0423903
WEU	0.0420471
"Third World"	0.041984
"oil market"	0.041966
"West African"	0.0419317
CAC	0.0418694
Amazonian	0.0417952
"Singapore Press Holdings"	0.0417385
EAC	0.041676
"Association of Southeast Asian Nations"	0.0416239
Pyrenees	0.0414732
"National Economic Council"	0.0412659
"United Sates"	0.0411754
Leningrad	0.0411465
"Indian Ocean"	0.0408763
Caspian	0.0407732
"Round Rock"	0.0406452
Uri	0.0406448
Ghali	0.0406133
sub-regional	0.0405452
"Baltic Sea"	0.0405291
PECC	0.0403258
"Twin Cities"	0.0402505
Kilimanjaro	0.040242
"Peace Corps"	0.0401343
"Group of Eight"	0.0401157
Catskill	0.0400437
"Orthodox Christian"	0.040031
))
("Asia Pacific Economic Cooperation" (desc 4963.32) (sims
"Asia-Pacific Economic Cooperation"	0.45074
Asia-Europe	0.203116
APEC	0.193446
"Association of Southeast Asian Nations"	0.182352
"ASEAN Regional Forum"	0.178167
"Group of Seven"	0.17769
ASEM	0.162629
"Group of @@"	0.161965
"Non-Aligned Movement"	0.156474
"South Pacific Forum"	0.153454
"South Asian Association for Regional Cooperation"	0.148341
"Group of Eight"	0.144415
G-@@	0.143429
"Economic Cooperation Organization"	0.137736
"Caribbean Community"	0.135052
"Southern African Development Community"	0.134711
"Arab Parliamentary Union"	0.133539
"Group of Rio"	0.12519
SAARC	0.124954
G-@	0.122299
"Gulf Cooperation Council"	0.118806
IGC	0.118334
"Asia-Europe Meeting"	0.118175
ASEAN	0.115952
"Rio Group"	0.115467
ARF	0.1153
"World Economic Forum"	0.113191
eco	0.112757
"Consultative Group"	0.109582
"Economic Community of West African States"	0.109558
"Common Market for Eastern and Southern Africa"	0.108468
pan-Arab	0.107674
"Alcoholics Anonymous"	0.106044
G@	0.101725
"PLO Executive Committee"	0.101707
"Organization of Petroleum Exporting Countries"	0.0979794
OIC	0.0974096
SADC	0.0968247
"ASEAN Ministerial Meeting"	0.0962102
AMM	0.0952997
"World Petroleum Congress"	0.0950132
"Organization of Islamic Conference"	0.0944129
"Damascus Declaration"	0.0934979
"Jerusalem Committee"	0.0927929
"Economic Community"	0.0923409
"U.N. Human Rights Commission"	0.092307
"Congress Working Committee"	0.0921713
FOMC	0.0913156
sub-regional	0.0909766
"Board of Governors"	0.0885075
COMESA	0.0876194
CITES	0.0866019
"Organization for Economic Cooperation and Development"	0.0858177
"Inter-Parliamentary Union"	0.085451
"Fortune Global Forum"	0.0853571
D-@	0.0852044
"World Conference"	0.084955
"Arab League"	0.0846845
G@@	0.0846212
CWC	0.0845247
PATA	0.0844816
"European Council"	0.0837919
"East African Cooperation"	0.0834573
CPLP	0.0830805
IPU	0.0829411
UNCTAD	0.0819975
"Inter-Governmental Authority on Development"	0.081713
"National Executive Committee"	0.0813535
"Organization of African Unity"	0.0806466
"World Trade Organization"	0.0798619
NAM	0.0796659
"Palestinian Council"	0.0785095
"World Tourism Organization"	0.0774237
"World AIDS Conference"	0.0773906
GCC	0.0771886
"Islamic Conference"	0.0771355
"Joint Liaison Group"	0.0762255
"Asian Development Bank"	0.076189
"Executive Committee"	0.076135
"Council of Europe"	0.0760527
OECD	0.0756235
ECOWAS	0.075313
"Provisional Ruling Council"	0.0752869
"Southern Africa Development Community"	0.0751422
"Western European Union"	0.0748497
"Israeli Cabinet"	0.0746156
"Commonwealth Ministerial Action Group"	0.0735467
"Meretz Party"	0.0735277
Non-governmental	0.0733137
"Organization for Security and Cooperation in Europe"	0.0730463
"North Atlantic Council"	0.0724373
AEC	0.0724326
"International AIDS Conference"	0.0722858
"United Nations Conference"	0.0722508
"World Food Summit"	0.0722226
"Ministerial Meeting"	0.0719394
"South Asian"	0.0718401
ESCAP	0.0715704
"First Session"	0.0712343
UPU	0.0711748
inter-Korean	0.0711417
"Central Organ"	0.070792
"Contact Group"	0.0706724
"Fifth Session"	0.0706333
WTO	0.0703739
OAU	0.0702022
"International Society"	0.0700112
"International Congress"	0.0698619
Presidium	0.069396
"Congress (NPC) Standing Committee"	0.068909
"Council of Ministers"	0.068712
IGAD	0.0685568
commonwealth	0.068545
"International Conference"	0.0685095
"Commonwealth of Independent States"	0.0681856
"Pacific Rim"	0.0678238
"Federal Open Market Committee"	0.0677274
"National Council"	0.0663914
Ci	0.0657776
three-day	0.0654393
two-day	0.0653757
OPEC	0.0652218
"Democratic Unionist Party"	0.0651914
Asia-Pacific	0.0649987
"United Malays National Organization"	0.0649842
JMC	0.0649384
JLG	0.0648893
"World Intellectual Property Organization"	0.0648717
PNC	0.0647349
"National Council of La Raza"	0.0639778
"North Atlantic Treaty Organization"	0.0636598
"Paris Club"	0.0635184
"Supreme Council"	0.0633296
Lakas-NUCD	0.0632719
"standing committee"	0.063125
Mensa	0.0630984
WEF	0.0627567
Roundtable	0.0622226
"Free Democratic Party"	0.0621835
"Universal Postal Union"	0.0620467
UPC	0.0618882
"member country"	0.0617158
"Independence Party"	0.0612943
"United Nations Conference on Trade and Development"	0.0609724
"Likud Party"	0.0608813
EAC	0.060782
NPT	0.0605819
nine-day	0.0604078
four-day	0.0603348
"International Labor Organization"	0.0602508
"UN Security Council"	0.0601977
"Moro Islamic Liberation Front"	0.060164
"General Council"	0.0600489
"National Democratic Party"	0.0599158
"Congressional Black Caucus"	0.0596207
Russian-U.S.	0.0596078
"Philippine Senate"	0.0595905
"Southern Baptist Convention"	0.0594799
"SEA Games"	0.0593598
"National Resistance Movement"	0.0593313
"U.N. Conference"	0.0592191
China-U.S.	0.0591801
pan-African	0.0588915
"Asian Football Confederation"	0.0588101
plenum	0.0587022
"Common Market"	0.0582718
"Organisation of African Unity"	0.0581973
"Democratic Leadership Council"	0.0581515
"governing board"	0.0580849
UUP	0.057473
"summit meeting"	0.0574087
"International Symposium"	0.0573018
interagency	0.0572115
"Ministerial Conference"	0.0571721
five-day	0.0568295
"European Monetary Union"	0.0566266
"Plenary Session"	0.0565803
Olympiad	0.0560737
"World Youth Games"	0.0560152
"steering committee"	0.0559523
"American Heart Association"	0.0556788
"wedding party"	0.055645
"CPC National Congress"	0.0556325
"Socialist Party"	0.0555871
"Shas Party"	0.0554952
"World Congress"	0.0554276
"Olympic Council of Asia"	0.055359
OAS	0.0550744
"Ministry of International Trade and Industry"	0.0550224
"Russian Security Council"	0.0549339
"United National Party"	0.0548478
"Nahdlatul Ulama"	0.0547467
"Bank for International Settlements"	0.054709
Mercosur	0.0546073
"Chinese Foreign Ministry"	0.0545618
NSC	0.0545557
NDA	0.0545346
"General Agreement on Tariffs and Trade"	0.0543033
"ASEAN Secretariat"	0.0541711
placer	0.0541303
))
("Asia Society" (desc 2382.29) (sims
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"National Press Club"	0.151246
"Inter-Parliamentary Union"	0.144564
"Democratic Leadership Council"	0.141634
"China Federation"	0.132344
WEF	0.126391
"World Economic Forum"	0.125477
"American Museum of Natural History"	0.123521
"China Society"	0.123045
"All-China Journalists Association"	0.121861
"Association for Friendship"	0.121563
"All-China Youth Federation"	0.12126
"U.S. Chamber of Commerce"	0.11403
"China Council"	0.111401
CMA	0.11079
"Hong Kong Federation"	0.108674
"China Association for Science"	0.10859
"Economic and Social Council"	0.107531
"Solomon R. Guggenheim Museum"	0.105257
"Plaza Hotel"	0.105253
"Chinese Society"	0.104649
"Party School"	0.104626
"Riverside Church"	0.10227
"Anti-Defamation League"	0.0979366
"Hong Kong Trade Development Council"	0.0974519
"Whitney Museum of American Art"	0.0959343
"American Heart Association"	0.0955806
"Shanghai Municipal Government"	0.0953744
WIPO	0.0946817
"Waldorf-Astoria Hotel"	0.094355
"All-China Federation"	0.09402
CPAFFC	0.0934942
"World Intellectual Property Organization"	0.0933402
"Rockefeller University"	0.0930914
CAS	0.0928769
"Publicity Department"	0.0928519
"chamber of commerce"	0.0918416
"Center for Strategic"	0.0914339
"Mount Sinai Hospital"	0.0908328
"Human Rights Watch"	0.0893965
"Whitney Museum"	0.0878696
ECA	0.0876936
"Legal Aid Society"	0.0873426
"Mount Sinai Medical Center"	0.0853818
"Metropolitan Museum of Art"	0.08463
"Memorial Sloan-Kettering Cancer Center"	0.0841147
"Jewish Museum"	0.0838769
"Museum of Natural History"	0.0835992
"National Urban League"	0.0830056
"American Bar Association"	0.0823999
DLC	0.0822791
"Film Forum"	0.0819426
"College Board"	0.0817388
"China Youth Development Foundation"	0.0813365
"Pennsylvania Station"	0.0810799
"American Jewish Committee"	0.0808612
"Republican Leadership Council"	0.0806187
"Beijing Municipal Government"	0.0800485
"National Association"	0.0799453
"National Tourism Administration"	0.079614
IPU	0.0789487
"Ministry of Culture"	0.0788217
"Cooper Union"	0.0785985
"Jupiter Communications"	0.0782032
"China National Tourism Administration"	0.0780662
ESCAP	0.0780251
UNIDO	0.0776857
Waldorf-Astoria	0.0774594
"Tourism Authority of Thailand"	0.0774348
"International Society"	0.0770383
"Metropolitan Museum"	0.0770001
"Freedom Forum"	0.0766745
"National Committee"	0.0766233
"Christian Coalition"	0.0760976
"Economic Commission for Africa"	0.074941
"Ministry of Interior"	0.0745867
TDC	0.0742699
"United Nations Educational, Scientific and Cultural Organization"	0.0742502
ILO	0.0737589
ENTREMED	0.0731452
ADL	0.0730344
"Asian Development Bank"	0.0725203
HKTA	0.0725062
"Qinghua University"	0.0722148
"Inter-American Development Bank"	0.0718573
CITIC	0.0716875
"Chinese Academy of Social Sciences"	0.0714351
"Provisional Urban Council"	0.0713229
"International Federation"	0.0711535
"Palestinian Council"	0.0705733
"Ministry of Science"	0.0704842
"State Administration of Internal Trade"	0.0697191
"Ministry of Information Industry"	0.0694416
ACFTU	0.0693527
"United Front Work Department"	0.0693101
"United Nations Conference on Trade and Development"	0.0693072
MOFTEC	0.0692281
"Chinese Academy of Engineering"	0.0691282
"Ministry of Internal Trade"	0.0690207
CCPIT	0.0690003
"Saks Fifth Avenue"	0.0689076
UNESCO	0.0686869
"Red Cross Society"	0.0682761
"Chinese Olympic Committee"	0.0680366
"U.N. Environment Program"	0.0676591
"Standard Chartered Bank"	0.0675261
"military academy"	0.067499
"Kansas State University"	0.0674034
"Ministry of Foreign Trade and Economic Cooperation"	0.0673891
"Chinese Academy of Sciences"	0.0670453
"Development Research Center"	0.0670106
"Democratic National Committee"	0.0668167
"Des Moines Register"	0.0666687
"Board of Investment"	0.0663921
"Justice Party"	0.0663127
"Council of Europe"	0.0662345
"Hong Kong Tourist Association"	0.0660826
"Museum of Modern Art"	0.0660731
PECC	0.0660467
"U.N. Millennium Summit"	0.0660439
"State Bureau of Environmental Protection"	0.0660223
"Natural Resources Defense Council"	0.0658207
FIVB	0.0658164
CCF	0.0657825
"Palestinian Legislative Council"	0.065768
"Polo Grounds"	0.0654169
"jockey club"	0.065389
NAACP	0.065326
"World Petroleum Congress"	0.065303
"Saatchi &AMP; Saatchi"	0.0652627
"Bankers Trust"	0.0651145
"State Administration of Cultural Heritage"	0.0649105
CBI	0.0648561
Confederation	0.0646077
"Propaganda Department"	0.0645393
"National Abortion and Reproductive Rights Action League"	0.0643246
"Hunter College"	0.0641676
"Information Office"	0.0636644
"Federal Reserve Bank of New York"	0.0635834
AFL-CIO	0.0631706
"Democratic Convention"	0.0631401
Guggenheim	0.0630941
"Central Committee"	0.0630102
"Philadelphia Museum of Art"	0.0629749
"Health Ministry"	0.0628583
"Sheraton Hotel"	0.0628451
"Juilliard School"	0.062596
"United Auto Workers"	0.0624487
"National Council of Churches"	0.0623965
ACWF	0.0623876
"United Nations Industrial Development Organization"	0.0623755
"Millennium Summit"	0.0622245
"Organization Department"	0.0621052
CDB	0.0619442
"International Rescue Committee"	0.0614043
"Walter Reade Theater"	0.0613626
"International Labor Organization"	0.0612938
UNCTAD	0.0610108
"investment firm"	0.0608381
"Central Commission for Discipline Inspection"	0.0605757
"U.S. Naval Academy"	0.0604385
"American Federation"	0.0604252
"Thai Foreign Ministry"	0.0604129
"CPPCC National Committee"	0.0603109
"United Nations Environment Program"	0.0602103
AmCham	0.0600034
"Democratic Revolution Party"	0.0598323
"U.S. Soccer Federation"	0.0597707
"municipal government"	0.0597617
"Simon Wiesenthal Center"	0.0597595
"National Conference"	0.059606
OECD	0.0595474
"Commission on Presidential Debates"	0.0595052
"China National Petroleum Corporation"	0.0594461
"Southeastern Legal Foundation"	0.0594459
"Olympic Council of Asia"	0.0593045
"Joint Commission"	0.0591149
"State Economic and Trade Commission"	0.0588878
"Mather Worldwide"	0.058737
"First Session"	0.0586767
MFA	0.0586752
"United Nations Educational"	0.0586427
Macworld	0.058544
"Ford Foundation"	0.0585135
"Brookings Institution"	0.058424
UNAIDS	0.0582923
"U.N. Development Program"	0.0582852
"State Forestry Administration"	0.0581945
"Chinese Foreign Ministry"	0.0581053
Zajedno	0.058094
"United Nations Children's Fund"	0.0580565
UNEP	0.0580163
"Ministry of Education"	0.0579628
"Arab League"	0.0579357
"Home Ministry"	0.0579027
"consulting company"	0.0575951
"American Medical Association"	0.057589
"NPC Standing Committee"	0.057579
"Fordham University"	0.057368
"Hofstra University"	0.0572442
))
(Asia-Europe (desc 1151.58) (sims
U.S.-Russian	0.384112
inter-Korean	0.318319
Sino-Russian	0.314835
Sino-African	0.303694
U.S.-China	0.281621
Russian-U.S.	0.278506
U.S.-Japan	0.277302
Sino-French	0.268494
China-U.S.	0.268383
ASEM	0.256356
pan-Arab	0.241245
Sino-British	0.233268
Sino-Japanese	0.231976
Sino-U.S.	0.220576
Franco-German	0.211249
north-south	0.209777
"Asia Pacific Economic Cooperation"	0.203116
Japan-U.S.	0.198372
inter-Arab	0.194971
cross-Straits	0.1944
FOMC	0.185297
one-to-one	0.172705
"Group of Rio"	0.171704
IGC	0.160545
interagency	0.159319
Non-governmental	0.158694
"Asia-Pacific Economic Cooperation"	0.15492
eco	0.149922
Israeli-Palestinian	0.149889
"Group of Eight"	0.145469
sub-regional	0.145226
CPLP	0.142042
Palestinian-Israeli	0.140779
"Consultative Group"	0.138794
G-@@	0.132685
"Damascus Declaration"	0.127029
east-west	0.125038
SAARC	0.119579
state-to-state	0.118269
"Group of Seven"	0.117009
decadelong	0.115223
"Alcoholics Anonymous"	0.114085
Chinese-American	0.113731
APEC	0.112959
Arab-Israeli	0.109436
"Rio Group"	0.108692
Int	0.108321
"Pacific Rim"	0.107763
G-@	0.107324
Roundtable	0.10731
GCC	0.105923
collaborative	0.104368
"Jerusalem Committee"	0.10341
CGI	0.103039
"European Council"	0.102183
"Non-Aligned Movement"	0.101656
"South Asian"	0.101363
CWC	0.101349
fostering	0.101196
"breaking off"	0.0998117
Anglo-American	0.0991476
"Israeli Cabinet"	0.0988173
ARF	0.0983782
PATA	0.0974008
"Congress Working Committee"	0.0961343
WEF	0.0960409
hourlong	0.0957461
JMC	0.0953357
first-ever	0.0952214
D-@	0.0945004
ELEVENTH	0.0942623
"pen pal"	0.0930862
OIC	0.0920355
"North Atlantic Council"	0.0917602
G@	0.0906392
"ASEAN Regional Forum"	0.0903956
SADC	0.089969
NAM	0.0881706
"Islamic Conference"	0.0880945
AHA	0.0877724
"South Pacific Forum"	0.0870386
pan-African	0.0869305
AMM	0.0853684
AEC	0.0839489
nine-day	0.0838951
CITES	0.0833691
"Federal Open Market Committee"	0.0823503
NGO	0.0822091
"round table"	0.0822078
G@@	0.0821972
IGAD	0.082168
Asia-Pacific	0.0815156
"Golden League"	0.0810057
"Group of @@"	0.0795985
Mekong	0.0790784
"World Economic Forum"	0.0790477
PNC	0.0788236
pan-European	0.0779287
"Board of Governors"	0.0768177
"Fortune Global Forum"	0.0767179
OAS	0.076702
PCC	0.0766473
Ouagadougou	0.0765947
good-neighborly	0.0754102
"General Council"	0.0751668
"Oak Tree"	0.0751408
high-stakes	0.074519
Israeli-Arab	0.0742213
CCF	0.0741401
"U.N. Human Rights Commission"	0.0735472
weeklong	0.0733548
Usenet	0.073349
"World Petroleum Congress"	0.0729825
"Pan Pacific"	0.0716577
"East African"	0.0716543
ACP	0.0714553
"South Asian Association for Regional Cooperation"	0.0712387
"February @-@"	0.0712108
"Ministerial Conference"	0.0708731
five-day	0.0707326
"Gulf Cooperation Council"	0.070216
"Dec @@-@@"	0.0701532
"World Food Summit"	0.0701468
on-and-off	0.0698003
CMAG	0.0697226
Luong	0.0681541
"World AIDS Conference"	0.0675357
"Palestinian Central Council"	0.0673765
Conte	0.0671442
COMDEX	0.0670839
"Annual Meeting"	0.0668932
Ci	0.0667151
Windhoek	0.06665
COMESA	0.0660181
"investment banking"	0.0658159
"town hall"	0.0655565
Komura	0.0652405
Narayanan	0.0650073
FTAA	0.0644264
"Promise Keepers"	0.0644237
MENA	0.0643583
Balkan	0.0640675
"Arab Parliamentary Union"	0.0640338
"Rules Committee"	0.063883
JLG	0.0638058
Chancellor-elect	0.0636243
"Trade Fair"	0.0633795
Insulza	0.0630559
"Asia-Europe Meeting"	0.063025
win-win	0.0630035
sounder	0.0628848
"two heads"	0.0628499
first-day	0.0628307
PECC	0.0626198
"World Youth Games"	0.062527
CSA	0.0624248
"Victoria Falls"	0.0619272
Vice-Foreign	0.0619132
"Nov @@-@@"	0.0618903
IPU	0.0618582
interbank	0.0618177
el-Sheikh	0.0618116
"June @-@"	0.0617806
four-hour	0.0615157
"American Heart Association"	0.0615107
NSC	0.0614406
"PLO Executive Committee"	0.0613943
NDA	0.0612928
"Paris Club"	0.0602521
"meteorological satellite"	0.0601238
"World Conference"	0.0601012
CPF	0.0599083
EAC	0.0598085
ECOWAS	0.0597786
INRO	0.0595124
"Executive Committee"	0.0593667
mini-camp	0.0593328
"De Soto"	0.0591991
"National Association of Broadcasters"	0.0591694
"Caribbean Community"	0.0591287
Granic	0.0591179
UUP	0.0589032
UNCTAD	0.058846
"Miller Park"	0.0588283
broadening	0.0586826
five-hour	0.0586369
millenium	0.0585001
six-day	0.0584439
"April @-@"	0.0580542
"Southeast Asian"	0.0578723
PTA	0.0578641
"three schools"	0.0577031
Bund	0.0576202
business-to-business	0.0575989
"warm front"	0.0572509
WEU	0.0572356
Doha	0.0572086
"September @-@"	0.0571949
"United Nations Conference"	0.0567607
market-oriented	0.0565028
))
("Asia-Europe Meeting" (desc 5401.66) (sims
ASEM	0.255535
"World Food Summit"	0.198989
ARF	0.183125
"ASEAN Ministerial Meeting"	0.170286
"Asia-Pacific Economic Cooperation"	0.163517
"Ministerial Conference"	0.148677
"ASEAN Regional Forum"	0.143211
"World Conference"	0.142949
"Association of Southeast Asian Nations"	0.129414
"Fortune Global Forum"	0.128664
"Millennium Summit"	0.127219
"South Summit"	0.126274
"World Petroleum Congress"	0.124126
"Ministerial Meeting"	0.123316
APEC	0.120792
"summit meeting"	0.119633
"Asia Pacific Economic Cooperation"	0.118175
"International Conference"	0.116538
"United Nations Conference"	0.110796
AMM	0.109314
"Trade Fair"	0.109202
"South Pacific Forum"	0.107445
mini-summit	0.106194
"Economic Cooperation Organization"	0.106072
"United Nations Conference on Trade and Development"	0.105497
"National Party Congress"	0.105235
"CPC National Congress"	0.10411
"committee meeting"	0.102758
plenum	0.102664
"U.N. Millennium Summit"	0.10244
"Asian Games"	0.102143
"Myanmar Embassy"	0.10155
"National Congress"	0.0981548
"Special Session"	0.0973076
"Inter-Governmental Authority on Development"	0.0966996
"First Session"	0.0964017
SAARC	0.0959557
"U.N. Conference"	0.0955782
"Fourth Session"	0.0929679
"Non-Aligned Movement"	0.0920257
forum	0.0916056
"Fifth Session"	0.0914573
"ASEAN Free Trade Area"	0.0912766
"Group of Rio"	0.0910371
"Organization of Islamic Conference"	0.0909559
ASEAN	0.0903519
"International Symposium"	0.0899501
"World Youth Games"	0.0890728
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"council meeting"	0.087328
"South Asian Association for Regional Cooperation"	0.0868084
"Organization for Economic Cooperation and Development"	0.0867197
"Consultative Group"	0.0851907
seminar	0.0849012
"general assembly"	0.0848151
"Damascus Declaration"	0.0845989
"state visit"	0.0838955
symposium	0.0834774
"Plenary Session"	0.0829741
"Jerusalem Committee"	0.0828762
IGC	0.0813688
"Group of @@"	0.0813434
"International AIDS Conference"	0.0802769
"Inter-Parliamentary Union"	0.0785399
Asiad	0.0779116
"Central Organ"	0.0758923
"art exhibition"	0.0754465
"Earth Summit"	0.0752138
"Common Market for Eastern and Southern Africa"	0.0745643
"East Asian Games"	0.074318
"Caribbean Community"	0.0725522
"Fourth World Conference"	0.0723697
"European Council"	0.0723187
ESCAP	0.0717091
"Southern African Development Community"	0.0713842
"Third Plenary Session"	0.0713248
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"South American Common Market"	0.0702766
"World Trade Organization"	0.0695952
"Group of Eight"	0.0692144
"Palestinian National Council"	0.0686445
G-@	0.0681089
UPC	0.0680384
"Second Session"	0.0674469
"Summer Olympic Games"	0.0674163
"Gulf Cooperation Council"	0.0667052
"PLO Executive Committee"	0.0663062
"Palestine National Council"	0.066275
"Chavalit Yongchaiyudh"	0.0661135
"board meeting"	0.0660823
"International Congress"	0.0660065
by-elections	0.0658418
"Group of Seven"	0.0654005
"World AIDS Conference"	0.0649466
"World Congress"	0.0645793
"Organisation of African Unity"	0.0641601
"Southern Africa Development Community"	0.0640256
"Eighth National Games"	0.0639721
eco	0.0637484
OIC	0.063246
parley	0.0630257
Asia-Europe	0.063025
UNCTAD	0.0628722
"Organization of Petroleum Exporting Countries"	0.0626359
"Congress Working Committee"	0.0625916
"three-day event"	0.0622408
China-U.S.	0.0619904
"Islamic Conference"	0.0618478
"Olympic Games"	0.0616924
"World Economic Forum"	0.0615614
"Commonwealth Ministerial Action Group"	0.0609216
"Summer Olympics"	0.0603289
"Rio Group"	0.0600806
"Arab League"	0.059874
"Organization of American States"	0.0593437
"Organization for Security and Cooperation in Europe"	0.0591297
"Economic Community of West African States"	0.0589584
"Annual Meeting"	0.0588167
D-@	0.058781
"Common Market"	0.0584038
"National Conference"	0.0574912
"Commission on Human Rights"	0.0573625
"Palestinian Council"	0.0571743
damming	0.0571595
SADC	0.057133
"Economic Community"	0.057118
"Council of Europe"	0.0570507
"panel discussion"	0.0567739
"Andean Community"	0.0566056
"Western European Union"	0.0562649
reunions	0.0558472
"Olympic Council of Asia"	0.0557893
"Winter Olympic Games"	0.0557173
"Bangkok Asian Games"	0.0556998
"Third Session"	0.0556046
two-day	0.0554391
powwow	0.0553283
ACFTU	0.0550668
"wedding party"	0.055037
"Commonwealth Games"	0.0547591
"Chuan Leekpai"	0.0546976
Mercosur	0.0546045
"British Parliament"	0.0541906
G-@@	0.0540414
OECD	0.0538815
"Contact Group"	0.0538244
"Republican National Convention"	0.05381
"Consultative Assembly"	0.0537039
Ruehe	0.0536359
spaceflight	0.0532955
IPU	0.053177
"East African Cooperation"	0.0531276
Expo	0.0527202
"CPC Central Commission for Discipline Inspection"	0.0525789
gala	0.0525748
"World Health Assembly"	0.0522681
PNC	0.0522659
"Third Plenum"	0.0519988
"Brandenburg Gate"	0.0519152
symposia	0.0515504
"open house"	0.051338
"North Atlantic Treaty Organization"	0.0513197
sub-commission	0.0507815
"Policy Address"	0.0507788
"Alcoholics Anonymous"	0.0505862
"U.N. Human Rights Commission"	0.0505445
"war game"	0.0502273
UPU	0.0501095
"Atlanta Olympic Games"	0.0496878
conclave	0.0495967
"Paris Club"	0.0494959
"Commonwealth of Independent States"	0.049402
reshuffle	0.0493411
"wedding anniversary"	0.0490132
COMESA	0.0489497
"Millennium Dome"	0.0487532
"Erie Canal"	0.0487489
"Prime Minister Banharn Silpa-Archa"	0.0487431
"Human Rights Commission"	0.0486425
ECOWAS	0.0483682
"Democratic National Convention"	0.0481918
three-day	0.0477958
grouping	0.047696
NSC	0.0476189
spacewalk	0.0475821
IGAD	0.0475501
"town meeting"	0.0475223
OPEC	0.0472941
Majlis	0.0472081
"Westminster Abbey"	0.0471817
"Universal Postal Union"	0.0471368
"UN agency"	0.0471206
"Tourism Authority of Thailand"	0.0469847
"John Bruton"	0.0468815
convening	0.0468727
inauguration	0.0468503
"primary election"	0.0468444
"Organization of African Unity"	0.0466936
"Stock Exchange of Thailand"	0.0466583
"Provisional Ruling Council"	0.0463837
))
(Asia-Pacific (desc 9484.61) (sims
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"East Asia"	0.184196
"Asia-Pacific Region"	0.165998
"West Asia"	0.163281
"South Asia"	0.157559
"Southeast Asia"	0.145899
"Pacific Rim"	0.144467
"Northeast Asia"	0.138063
"East Europe"	0.128003
Asia	0.127378
"Far East"	0.125332
"Middle East"	0.121985
"Near East"	0.12082
"Latin America"	0.112855
"Southern Africa"	0.109251
Oceania	0.108053
"South Asian"	0.106663
Mideast	0.106459
"East Asian"	0.103308
"Western Europe"	0.0998017
Caucasus	0.0994
Africa	0.0984352
"Central Asia"	0.0965616
ASEAN	0.0956544
"Commonwealth of Independent States"	0.0933244
"Western Pacific"	0.0926871
"West Africa"	0.0903084
sub-region	0.0900284
"South America"	0.0895001
"Sub-Saharan Africa"	0.0876987
"Eastern Europe"	0.0859468
"Latin American"	0.0855803
"North America"	0.0843991
"Persian Gulf"	0.0835342
"South East Asia"	0.0829233
Asia-Europe	0.0815156
Eurasia	0.0813486
"North Africa"	0.0810395
APEC	0.0807576
"Great Lakes Region"	0.0800342
Mediterranean	0.0793658
Balkan	0.0779125
subcontinent	0.0770736
Asian	0.0770025
Mercosur	0.0749225
"Asian country"	0.0744293
pacific	0.0743488
Ci	0.0743243
"South Pacific"	0.0723454
Balkans	0.0715791
"Southeast Asian"	0.0707535
sub-regional	0.0701866
pan-Arab	0.0701679
"North American"	0.0700875
SADC	0.0694787
Caribbean	0.0692728
"Korean Peninsula"	0.0690277
"East Africa"	0.0687842
continent	0.0681154
G-@	0.0673086
"Pearl River Delta"	0.0666477
"Central America"	0.066252
"Central Europe"	0.0659386
"Asia Pacific Economic Cooperation"	0.0649987
"Central Africa"	0.0641732
"world economy"	0.0640484
"Group of Rio"	0.063871
Baltic	0.0626606
SAARC	0.0625661
Gulf	0.0622028
"Association of Southeast Asian Nations"	0.061808
eco	0.0616488
ASEM	0.0615442
"Group of Seven"	0.0610788
"Asian nation"	0.0601651
macro-economy	0.059769
GCC	0.0594357
CONCACAF	0.0591654
Mindanao	0.0589755
"Central Asian"	0.0588362
"Far Eastern"	0.0588095
"United Kingdom"	0.0584593
"Southern African Development Community"	0.0583139
COMESA	0.0582378
Sino-Japanese	0.0581973
"western hemisphere"	0.0578713
OECD	0.0573133
mainland	0.0571721
"North Caucasus"	0.0568372
G-@@	0.0567702
UK	0.0561367
Scandinavia	0.0559405
"Yangtze River Delta"	0.0547568
e-business	0.0547451
"Asia-Pacific Economic Cooperation"	0.0547008
subregion	0.0546576
"Western European"	0.0542176
Ningxia	0.0537466
"Gulf Cooperation Council"	0.0535128
"Eastern Slavonia"	0.0530989
Drenica	0.053086
Xinjiang	0.0529792
"Inner Mongolia"	0.052569
Tigray	0.0524052
"Middle Eastern"	0.052397
CHT	0.0522251
"Non-Aligned Movement"	0.0520697
aerospace	0.0520515
"Third World"	0.0516227
"South American"	0.0513195
"Southern Common Market"	0.0512644
IGAD	0.0512064
telecommunication	0.050823
"Baltic Sea"	0.0507762
"Eastern European"	0.0507113
MSC	0.0506908
EAC	0.0506636
"business development"	0.0506128
U.K.	0.0504909
Sino-Russian	0.0504678
"Indian Ocean"	0.0504247
ROK	0.0501995
G@@	0.0501167
Zhongguancun	0.0499314
"oil market"	0.0498972
"rural area"	0.049654
"Andean Community"	0.0496433
Pudong	0.0495332
Sino-U.S.	0.0494446
ESCAP	0.0492347
Tibet	0.0487766
Kaliningrad	0.0486046
Abkhazia	0.0483147
D-@	0.0482409
"Group of @@"	0.0482007
Caprivi	0.0481962
"European country"	0.0478385
WEU	0.0477861
Americas	0.0475745
"Republic of Korea"	0.0474814
"Yangtze River Valley"	0.0474219
hemisphere	0.0474138
"electronics industry"	0.0473614
Guangxi	0.0472974
"British Isles"	0.0472682
aviation	0.0471879
Korean	0.0470102
"Unites States"	0.0469766
Philippine	0.046869
"Southern California"	0.0468511
"United State"	0.0467872
Krasnoyarsk	0.0465855
Nagorno-Karabakh	0.0465412
"North Atlantic Treaty Organization"	0.0465016
"Central American"	0.046467
Korea	0.0464468
pan-African	0.0464029
E.U	0.0463882
"Group of Eight"	0.0462085
"Golden Triangle"	0.0461505
"Caspian Sea"	0.0460011
nonproliferation	0.0459744
MENA	0.045323
NGO	0.0452031
Euroland	0.0451389
inter-Korean	0.0449321
Sino-French	0.0449113
"Suzhou Industrial Park"	0.0447989
Caspian	0.0446002
bloc	0.0445388
"South Asian Association for Regional Cooperation"	0.0443046
"Rio Group"	0.0442877
"New Korea Party"	0.0441631
banking	0.0438756
"Niger Delta"	0.0437816
commerce	0.0437615
"South Korean"	0.0436427
Kashmir	0.0434165
ARF	0.0433027
"Economic Cooperation Organization"	0.0431734
"Balkan country"	0.0430221
forestry	0.0430102
"trade relation"	0.042921
cross-Straits	0.0428129
"Islamic Conference"	0.0427712
"monetary system"	0.0426508
"southern hemisphere"	0.0424507
shipbuilding	0.0420374
"Mekong River"	0.0419899
aeronautics	0.0419294
"Council of Europe"	0.0417897
Hainan	0.0416514
"Bay State"	0.0416431
Isthmus	0.0415159
"East African"	0.0415083
retailing	0.0410724
"African nation"	0.0410493
"Damascus Declaration"	0.0409856
"member country"	0.0408837
publishing	0.0407751
))
("Asia-Pacific Economic Cooperation" (desc 8044.92) (sims
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APEC	0.225056
"ASEAN Regional Forum"	0.222036
"South Asian Association for Regional Cooperation"	0.205345
ASEM	0.198476
"Association of Southeast Asian Nations"	0.193858
"Economic Cooperation Organization"	0.177557
"Non-Aligned Movement"	0.170259
"Group of @@"	0.164842
"South Pacific Forum"	0.163781
"Asia-Europe Meeting"	0.163517
"Caribbean Community"	0.159628
"Group of Eight"	0.158449
"Group of Seven"	0.157598
Asia-Europe	0.15492
ARF	0.147015
"Southern African Development Community"	0.138052
G-@@	0.137193
"Rio Group"	0.135706
"Group of Rio"	0.135255
"ASEAN Ministerial Meeting"	0.133036
AMM	0.132082
SAARC	0.130048
"World Petroleum Congress"	0.129376
ASEAN	0.123093
forum	0.120457
"Organization for Economic Cooperation and Development"	0.119274
"Arab Parliamentary Union"	0.116431
"Organization of Islamic Conference"	0.116176
"World Economic Forum"	0.115475
"Gulf Cooperation Council"	0.112737
G-@	0.109462
eco	0.105947
"Consultative Group"	0.105028
G@	0.0998974
"Common Market for Eastern and Southern Africa"	0.099254
"United Nations Conference"	0.0990502
"Economic Community"	0.0988737
IGC	0.0977737
"Economic Community of West African States"	0.0938241
"Fortune Global Forum"	0.0921384
pan-Arab	0.0919882
"Congress Working Committee"	0.0906521
D-@	0.0903054
OIC	0.08937
"Organization of Petroleum Exporting Countries"	0.0889122
"International Conference"	0.0886453
SADC	0.0884542
"general assembly"	0.0883247
"Alcoholics Anonymous"	0.0877568
"European Council"	0.0874361
"Jerusalem Committee"	0.0870487
"Southern Africa Development Community"	0.086305
"Inter-Governmental Authority on Development"	0.085071
"World Trade Organization"	0.0850355
"Organization for Security and Cooperation in Europe"	0.0849136
"SEA Games"	0.0833068
"Council of Europe"	0.0832614
"International Symposium"	0.0830404
"World Food Summit"	0.0827614
OECD	0.08212
"summit meeting"	0.0819626
"Commonwealth of Independent States"	0.0818022
"Fifth Session"	0.0816689
CPLP	0.0811978
"Andean Community"	0.0806266
FOMC	0.0804934
"Ministerial Meeting"	0.0800946
"PLO Executive Committee"	0.0793934
"First Session"	0.0791145
"ASEAN Free Trade Area"	0.0790765
"United Nations Conference on Trade and Development"	0.0777749
"Arab League"	0.0765774
UPU	0.0750379
"Inter-Parliamentary Union"	0.0748552
three-day	0.0748195
"U.N. Millennium Summit"	0.074597
"South Summit"	0.0745374
"Contact Group"	0.0741255
"U.N. Human Rights Commission"	0.0739554
"Organisation of African Unity"	0.07339
sub-regional	0.0732379
"World Intellectual Property Organization"	0.0730955
"Organization of American States"	0.0724936
WTO	0.0721875
COMESA	0.0719397
"National Congress"	0.071887
CWC	0.0714688
"Paris Club"	0.0712303
"Damascus Declaration"	0.0711748
plenum	0.0710586
Roundtable	0.0709344
"International Monetary Fund"	0.0708583
"World Conference"	0.0706884
CITES	0.0704377
"East African Cooperation"	0.070184
two-day	0.0701278
commonwealth	0.0698396
"Western European Union"	0.0697213
"International Congress"	0.0695175
Asiad	0.0684533
"Organization of African Unity"	0.0683119
"Commonwealth Games"	0.0682081
"General Agreement on Tariffs and Trade"	0.0679161
"North Atlantic Treaty Organization"	0.0675092
GCC	0.0674679
"International AIDS Conference"	0.0673118
"Board of Governors"	0.0671721
"World AIDS Conference"	0.067102
"National Party Congress"	0.0670567
Mercosur	0.0666073
"North American Free Trade Agreement"	0.0661615
"World Bank"	0.0656035
"Millennium Summit"	0.0655629
"National Games"	0.0653856
"Winter Olympic Games"	0.0653324
IPU	0.0651296
Ci	0.064933
"Asian Development Bank"	0.0647534
OPEC	0.0646905
"European Monetary Union"	0.0645861
"Universal Postal Union"	0.0645677
"Palestinian Council"	0.0644701
OAU	0.0643635
"Supreme Council"	0.0643007
ECOWAS	0.0642139
"Council of Ministers"	0.0639538
"Latin American"	0.0638022
"North Atlantic Council"	0.0637817
FTAA	0.0637688
"council meeting"	0.0636694
inter-Korean	0.0630085
G@@	0.0629256
"Second Session"	0.0629053
"Ministerial Conference"	0.0628291
"World Congress"	0.0628183
China-U.S.	0.0626264
"Provisional Ruling Council"	0.0626189
"National Executive Committee"	0.0625291
NAM	0.0620923
"Commonwealth Ministerial Action Group"	0.0619403
"World Youth Games"	0.0617506
ESCAP	0.0616466
UPC	0.0612925
"Provisional Legislative Council"	0.0609485
"Israeli Cabinet"	0.0608971
"International Labor Organization"	0.0608914
"CPC National Congress"	0.0606222
JMC	0.0605036
"General Council"	0.0604349
PATA	0.0603527
AEC	0.0601294
UNCTAD	0.0600831
"National Council"	0.0597423
symposium	0.0597207
"World Tourism Organization"	0.0597203
"Asian nation"	0.0595552
"Eighth National Games"	0.059453
"Executive Committee"	0.0592005
"UN Security Council"	0.0589805
IGAD	0.0586511
"Summer Olympic Games"	0.0586188
Non-governmental	0.0585141
"member country"	0.0584444
"Special Session"	0.0584334
"Federal Open Market Committee"	0.0582191
grouping	0.0577911
"Asian Cup"	0.0577505
"Fourth Session"	0.0577088
"standing committee"	0.0576631
"Congress (NPC) Standing Committee"	0.0576331
"Meretz Party"	0.0573526
"National Conference"	0.0573454
"Congressional Black Caucus"	0.0572784
"South American Common Market"	0.0566019
"Third Session"	0.0565024
fora	0.0564234
EAC	0.0562389
"Democratic National Convention"	0.0561806
"Southern Common Market"	0.0557165
"International Maritime Organization"	0.055583
"Selection Committee"	0.0555702
four-day	0.0553529
NSC	0.0547415
"Central Organ"	0.0547127
Asia-Pacific	0.0547008
"Likud Party"	0.0546397
"Asian Football Confederation"	0.0546234
PNC	0.0544674
"National Resistance Movement"	0.0543554
"Pacific Rim"	0.0543071
Olympiad	0.0541896
"member nation"	0.0540761
"U.N. Conference"	0.0539328
"Joint Liaison Group"	0.0538966
Presidium	0.0538796
"Islamic Conference"	0.0538461
"Central Committee"	0.0538143
"steering committee"	0.053741
JLG	0.0533286
))
("Asia-Pacific Region" (desc 2521.54) (sims
"Northeast Asia"	0.180965
Asia-Pacific	0.165998
"West Asia"	0.133504
"East Europe"	0.129936
"South Asia"	0.124226
"East Asia"	0.118996
"Asia Pacific"	0.114674
"Pacific Rim"	0.108243
"Great Lakes Region"	0.100522
"Southeast Asia"	0.100243
sub-region	0.0983525
"Pearl River Delta"	0.0952279
"Central Asia"	0.0895498
"Yangtze River Delta"	0.0780887
"Southern Africa"	0.0769324
"Far East"	0.0768045
"Korean Peninsula"	0.0760853
Caucasus	0.0752946
subcontinent	0.0724248
Mideast	0.0716808
"West Africa"	0.0681617
"North Caucasus"	0.0680234
"Olympic Council of Asia"	0.0635425
Indochina	0.0634732
Oceania	0.0627621
"Central Africa"	0.0602267
Eurasia	0.0579038
"Western Europe"	0.0578354
Solomons	0.0576255
"North Africa"	0.0563086
"Commonwealth of Independent States"	0.0554761
"Eastern Europe"	0.0546825
"New Millennium"	0.0545941
subregion	0.0543499
"monetary system"	0.0543446
"Unites States"	0.0543013
hemisphere	0.0536264
"Persian Gulf"	0.0535129
"South East Asia"	0.0534421
"world economy"	0.0518764
Systems	0.049837
"oil market"	0.0489154
"Central Europe"	0.0477725
"Straits Exchange Foundation"	0.0468512
"Association of Southeast Asian Nations"	0.0467562
"North China"	0.0465535
"Asia Pacific Economic Cooperation"	0.0465239
Scandinavia	0.0464299
"United Sates"	0.0453717
"Southern Philippines"	0.0452509
"Southern African Development Community"	0.0446457
Comoros	0.043589
"Central Mindanao"	0.043365
"United State"	0.0429922
euro-zone	0.042879
Americas	0.0426284
"Central African Republic"	0.0419799
"South Pacific"	0.0418937
fora	0.0415777
Balkan	0.0415255
"Home Ministry"	0.0414525
Euroland	0.0407694
UNIDO	0.0406788
"D.R Congo"	0.0406233
"Yangtze River Valley"	0.0404739
"East Africa"	0.0401172
))
(Asiad (desc 2742.64) (sims
Universiade	0.269733
"Asian Games"	0.260183
"Pan Am Games"	0.212456
"SEA Games"	0.210257
"Commonwealth Games"	0.207907
"Summer Olympics"	0.196734
"Bangkok Asian Games"	0.187849
"Summer Olympic Games"	0.185531
"Olympic Winter Games"	0.177664
"Summer Games"	0.177507
"Barcelona Olympics"	0.169818
"European Swimming Championships"	0.168287
"Seoul Olympics"	0.167372
"World University Games"	0.167026
"Goodwill Games"	0.162567
"Southeast Asian Games"	0.159537
"Pan Pacific"	0.159153
"Asian Championships"	0.155826
"Winter Olympic Games"	0.15538
"Pan American Games"	0.154397
"Asian Cup"	0.152959
"European Championship"	0.151695
"Sydney Olympic"	0.151596
"Winter Olympics"	0.151336
"Eighth National Games"	0.150964
"World Athletics Championships"	0.150952
"Atlanta Olympic Games"	0.150843
"National Games"	0.146438
"World Junior Championships"	0.144099
Paralympics	0.143361
"World Weightlifting Championships"	0.143037
"Copa America"	0.140684
"Atlanta Olympics"	0.140364
"Pan Ams"	0.139167
"East Asian Games"	0.138751
Olympiad	0.137985
"World Championship"	0.136381
"World Championships"	0.135208
"Sydney Olympics"	0.133537
"European Championships"	0.133403
"Winter Games"	0.132981
"African Nations Cup"	0.130226
"Olympic Games"	0.129516
"Sydney Olympic Games"	0.129434
"Federation Cup"	0.127431
"Atlanta Games"	0.126202
"Centennial Olympic Games"	0.125549
"Hamlet Cup"	0.121094
"World Figure Skating Championships"	0.119597
"Barcelona Games"	0.118506
"Thomas Cup"	0.117116
"Fed Cup"	0.115346
"European Cup"	0.115297
"Southeast Asian"	0.114387
"Nagano Winter Olympics"	0.113254
"Confederations Cup"	0.113143
"Atlanta Olympic"	0.112782
"Canadian Open"	0.110128
"Nagano Olympics"	0.107512
"Sydney Games"	0.107427
"Grand Slam Cup"	0.107039
IGC	0.106283
"ASEAN Ministerial Meeting"	0.102594
"Pan Am"	0.102541
Maurier	0.10249
"Hong Kong Open"	0.1021
AMM	0.101198
"U.S. Olympic"	0.100008
EuroLeague	0.0987512
"Italian Open"	0.0972423
"Euro @@@@"	0.0970073
"African Cup"	0.096088
"German Open"	0.0958154
"Australian Open"	0.0951531
"World Cup Finals"	0.0930102
"Nations Cup"	0.0926541
"International AIDS Conference"	0.0920046
"Consultative Group"	0.0901407
"Davis Cup World Group"	0.0894962
"field hockey"	0.0881252
"French Open"	0.08794
"World Cycling Championships"	0.0873559
epee	0.0870269
"Hopman Cup"	0.0865839
triathlon	0.0865134
"Japan Open"	0.0864903
"water polo"	0.086038
skeet	0.0851855
"Maurier Open"	0.0848782
Nagano	0.0848232
"Chinese Olympic"	0.0844907
"US Open"	0.0841698
ASEM	0.0836185
"Sudirman Cup"	0.0833924
"United States Open"	0.0833628
"Paris Open"	0.0824746
CONCACAF	0.0820661
"Uber Cup"	0.081932
"World Group"	0.0819256
Eastbourne	0.0818466
"first cup"	0.080993
"Ministerial Conference"	0.0809688
"World Conference"	0.0808566
taekwondo	0.080788
"Swiss Open"	0.0807402
"World League"	0.0806432
"Gold Cup"	0.0804207
"Asian Winter Games"	0.0800672
three-meter	0.0800312
"World Youth Games"	0.0798749
"League Cup"	0.0798242
"Stockholm Open"	0.0791378
"World Petroleum Congress"	0.0788023
tourney	0.0785884
"World Team Cup"	0.0783482
"Skate America"	0.0782017
"swimming meet"	0.0779539
"Asia-Europe Meeting"	0.0779116
"Basketball Championship"	0.0766512
"Acura Classic"	0.0763866
"World Swimming Championships"	0.0754905
"World AIDS Conference"	0.075481
"Big Sky Conference"	0.0752505
"three-day event"	0.0749783
"U.S. Open"	0.074692
"figure skating"	0.0735778
"National Collegiate Athletic Association"	0.0734871
"Italian Cup"	0.0729697
Wimbledon	0.0725047
"Roland Garros"	0.072467
"Louis Vuitton Cup"	0.0723943
"stroke play"	0.0722842
"Davis Cup"	0.0720574
"table tennis"	0.0715699
scull	0.0713705
"X Games"	0.0713417
snooker	0.0709101
first-day	0.0695923
"Dunhill Cup"	0.0695083
"International Symposium"	0.0695023
Lipton	0.0694806
"Olympic Trials"	0.0693684
"London Marathon"	0.0689493
"ice hockey"	0.0685417
"World Basketball Championship"	0.0685086
"Asia-Pacific Economic Cooperation"	0.0684533
"PGA Championship"	0.0680542
"Libertadores Cup"	0.0678581
Cliburn	0.0676662
WCC	0.067559
"British Grand Prix"	0.0674807
"round robin"	0.067125
"Atlantic Coast Conference"	0.0669264
Heptathlon	0.066895
GP	0.0668904
steeplechase	0.0665784
"F.A Cup"	0.0665487
"Myanmar Embassy"	0.0664448
badminton	0.0662176
"Grand Prix"	0.0661577
"Boston Marathon"	0.0658701
"Kremlin Cup"	0.0655847
"ATP Championship"	0.0655151
"Lipton Championships"	0.0648851
"Tour Championship"	0.0647876
"European Champions League"	0.0644745
"West Regional"	0.0643749
Lillehammer	0.064287
"Southwest Conference"	0.0642264
"won nine"	0.0639689
"track and field"	0.0637661
"Earth Summit"	0.0632032
"Phoenix Open"	0.0631633
"Ryder Cup"	0.0631595
"European Champions Cup"	0.0629306
Ironman	0.0629245
"Little League World Series"	0.0626813
"UEFA Cup"	0.0625219
judo	0.0625184
decathlon	0.06251
"Champions Cup"	0.0621362
"Fortune Global Forum"	0.0620934
encyclical	0.0614293
inaugural	0.0613914
"Western Athletic Conference"	0.0612533
"New York City Marathon"	0.0611389
"Ministerial Meeting"	0.060594
UPC	0.0605327
javelin	0.0604889
handball	0.060486
pre-Olympic	0.0604818
CAA	0.060436
Gymnastics	0.0603099
"Fourth World Conference"	0.0603043
"Cannes Film Festival"	0.0602027
pentathlon	0.0599572
weightlifting	0.0597668
"World Environment Day"	0.0592353
"March @-@"	0.0590844
"Brickyard @@@"	0.0587598
))
(Asian (desc 43424) (sims
Hispanic	0.160858
African	0.156901
Latino	0.145491
"Latin American"	0.140832
European	0.140464
"Asian Americans"	0.133394
Asian-Americans	0.125872
African-American	0.12473
black	0.115824
"Asian country"	0.115613
Asian-American	0.112684
Mexican	0.112231
Anglos	0.106951
Arab	0.104753
"Asian nation"	0.103041
Chinese	0.10262
"native American"	0.101379
"American Indian"	0.10127
"African Americans"	0.100295
Caucasian	0.0992379
American	0.0981293
Japanese	0.0979515
minority	0.0968645
Russian	0.0948827
"Southeast Asian"	0.0942456
foreigner	0.0940768
Jew	0.093251
Vietnamese	0.0930459
Filipino	0.0920996
white	0.0913037
immigrant	0.0906607
Asia	0.0899211
Indian	0.0896986
Koreans	0.0872496
German	0.0866387
"Central American"	0.0863526
"Middle Eastern"	0.0845117
"European country"	0.0842856
"African country"	0.0840448
"East Asian"	0.0837912
"African American"	0.0834492
Canadian	0.081208
"European nation"	0.080809
Brazilian	0.079613
Australian	0.0792737
"North American"	0.0784203
Malaysian	0.0780556
Muslim	0.0773488
"Puerto Rican"	0.0771448
Catholic	0.0770461
Asia-Pacific	0.0770025
Jewish	0.0762427
Thai	0.0761503
woman	0.0759892
Italian	0.0758332
Haitian	0.0755013
"South American"	0.075338
"East Asia"	0.0752325
Cuban	0.0742462
"South African"	0.0735669
"African nation"	0.0734603
French	0.0732376
Taiwanese	0.0726392
christian	0.0718739
female	0.071717
"people of color"	0.0715391
Indonesian	0.0714166
Egyptian	0.0707657
nation	0.0706761
Pakistani	0.0705214
"Balkan country"	0.0701577
U.S.	0.0699692
investor	0.0695331
"Latin America"	0.0694406
Africa	0.0693289
male	0.0691186
"ethnic group"	0.0688588
"member country"	0.0687596
economy	0.0687033
British	0.0686811
Caribbean	0.0684499
"Southeast Asia"	0.0684404
"Middle East"	0.0680239
Gay	0.0673127
national	0.0670617
Tibetans	0.0669122
Korean	0.066733
Kenyan	0.0660373
ASEAN	0.0657759
Irish	0.065698
"union member"	0.0656913
Dominican	0.0656797
Israeli	0.0656422
local	0.0656334
sector	0.065592
tourist	0.0654874
"Commonwealth of Independent States"	0.0653023
Turk	0.0651259
Kuwaiti	0.0651193
Anglo	0.064456
resident	0.0642726
westerner	0.0640315
voter	0.0639256
population	0.063865
"world economy"	0.0637895
citizen	0.0636625
"Association of Southeast Asian Nations"	0.0636108
"Central American country"	0.0634979
Singaporean	0.0632797
region	0.0632151
"South Koreans"	0.0631244
Nigerian	0.0629688
"New Zealander"	0.0628606
Cambodian	0.0627437
Moslem	0.0627295
migrant	0.0626142
Briton	0.0625084
Iranian	0.0623684
"European Union"	0.0623061
Europe	0.0618369
Bangladeshi	0.0618282
China	0.0616823
smoker	0.0614145
"United States"	0.0613084
Japan	0.0612441
"over @@"	0.0612086
industry	0.0611603
continent	0.0610159
Palestinian	0.0609913
community	0.0609197
"Gulf Cooperation Council"	0.0607724
worker	0.0607277
Malay	0.0606986
"member nation"	0.0606775
"stock market"	0.0606425
consumer	0.0602943
student	0.0600845
"South American country"	0.0600274
Tanzanian	0.0597443
Protestant	0.05967
Greek	0.0596576
Ukrainians	0.0596204
Gypsy	0.0594812
Romanian	0.0594272
"South Asian"	0.0593219
Aboriginal	0.0590957
Colombian	0.0590548
businessmen	0.0590138
Southerner	0.0586799
Swiss	0.0586657
"oil price"	0.058537
applicant	0.0585059
household	0.0584493
Lebanese	0.0584434
Georgian	0.0584287
"Israeli Arabs"	0.0583087
individual	0.0582268
Moroccan	0.0580251
"Hong Kong"	0.057641
Jordanian	0.0574979
Russia	0.0572398
"white man"	0.057151
Albanian	0.0570723
culture	0.056933
EU	0.0565937
farmer	0.0564962
Iraqi	0.0564795
Hindu	0.0563172
Kurds	0.056192
"black woman"	0.0561474
"international organization"	0.0561183
homosexual	0.0561153
Syrian	0.0560373
Greeks	0.0559722
Hungarian	0.0558421
"black man"	0.0558016
Aborigine	0.055726
Portuguese	0.0556181
adult	0.0555087
"Group of Seven"	0.0554934
"economic crisis"	0.0554
central	0.0552686
Buddhist	0.0550234
Californian	0.0550001
Republican	0.0549987
enterprise	0.0549901
"senior citizen"	0.0548056
institution	0.0546456
"South Korean"	0.0546346
"Roman Catholic"	0.0545719
LDCS	0.0544209
Nepalese	0.0541936
athlete	0.0541202
"college student"	0.0540762
Ugandan	0.0540652
Spanish	0.0540518
turmoil	0.0540457
youth	0.0540211
liberal	0.0539328
currency	0.0539256
))
("Asian American" (desc 1959.27) (sims
Asian-American	0.321035
"African American"	0.250351
"Hispanic American"	0.166407
Arab-American	0.160535
Chinese-American	0.160218
Anglos	0.147934
Anglo	0.14489
"Orthodox Jewish"	0.138284
"American Jewish"	0.124462
Mexican-American	0.123754
nonwhite	0.12241
non-whites	0.121082
non-Hispanic	0.120681
Hispanic	0.114436
Italian-American	0.109224
"American Indian"	0.108304
"Israeli Arab"	0.106423
"Asian Americans"	0.103347
"Irish Catholic"	0.100979
"Puerto Rican"	0.100238
Hausa	0.0994169
Japanese-American	0.0984701
Hasidic	0.0964448
Latino	0.0935527
"native American"	0.0896598
Sephardic	0.088328
low-income	0.0881291
Okinawan	0.0880806
Cuban-American	0.0876641
Ijaw	0.0874814
Asian-Americans	0.0858026
Korean-American	0.0846528
"more than four million"	0.0824575
"Western European"	0.082317
Irish-American	0.0806612
"Four million"	0.0781075
"Kosovar Albanian"	0.0770561
down-and-out	0.0761903
"Bosnian Muslim"	0.0738165
"people of color"	0.0737085
"Turkish Cypriot"	0.073241
Inuit	0.0732234
Aggie	0.072203
"deep red"	0.0721033
"six million"	0.0719628
"roughly @@@,@@@"	0.0717804
NGO	0.0715187
"Studio City"	0.0708337
small-business	0.0705999
"nearly @ million"	0.0699754
"jet set"	0.0695049
"Kosovo Albanian"	0.0693833
"African Americans"	0.0693389
non-Indian	0.0689478
"Shiite Muslim"	0.067292
"upper crust"	0.0671502
"almost @@ million"	0.0670812
Sunni	0.0668133
"working class"	0.0652746
Kurdish	0.0651695
Banyamulenge	0.0650406
"more than @.@@ million"	0.0648463
Gypsy	0.0648449
"Greek Cypriot"	0.0645064
"blue ribbon"	0.0642684
"nearly @@ million"	0.0641965
"Roman Catholic"	0.0639743
"important person"	0.0637494
"nine million"	0.0636573
Acadian	0.0636487
Tibetan	0.0634944
fastest-growing	0.063444
"more than @@ million"	0.0633275
Armenian	0.0631714
Northland	0.0631619
over-@@	0.062835
techie	0.0622996
"East Bay"	0.0619155
Slavic	0.0618379
non-Jewish	0.0617668
"nearly @@@,@@@"	0.0614873
HIV-positive	0.0614624
sought-after	0.061437
"Over one million"	0.0614227
PATHFINDER	0.0612225
"almost @@,@@@"	0.0605313
"over @@@,@@@"	0.0603911
Maori	0.060296
agribusiness	0.0601227
"Seven million"	0.0597026
"over @.@ million"	0.0589389
first-time	0.058387
"Granada Hills"	0.0583356
Sikh	0.0582277
"Orthodox Christian"	0.0581552
"Sunni Muslim"	0.0577225
"Around @@@"	0.0575604
Khmer	0.0572362
Eskimo	0.0569836
Davidian	0.056401
"nearly @@@"	0.0561502
Caucasian	0.0561217
turncoat	0.0558101
nonwhites	0.0556681
segregationist	0.0555194
Redding	0.0554478
PBA	0.0554267
"another @@,@@@"	0.0549929
"black woman"	0.0548554
Kazak	0.05468
Croat	0.0546428
ranching	0.0546359
Libertarian	0.0545979
Thirty-six	0.0544826
"three million"	0.0542713
"more than @ million"	0.0541661
emigre	0.0539743
"nearly @@,@@@"	0.0538144
herdsman	0.0536571
Navajo	0.0536515
nuclear-weapons	0.0535494
"Nearly @.@ million"	0.0534341
"More than two million"	0.0534276
Reseda	0.0526998
Maasai	0.0520799
"two million"	0.0520514
Ibo	0.0520403
"about @.@ million"	0.0520097
VC	0.0518649
Hmong	0.0516954
non-Catholic	0.0516122
agnostic	0.0514636
Druse	0.051346
Mennonite	0.0512946
Younger	0.051033
Latvian	0.0507508
"nearly @@@ million"	0.0507374
Netcenter	0.0506399
Abortion-rights	0.0505054
SFA	0.0503845
homeownership	0.0503696
espanol	0.0503302
contrarian	0.0502632
Wellness	0.0501558
Stolle	0.0501152
oil-for-food	0.0500256
"about @@.@ million"	0.0499895
"less than @@,@@@"	0.0498317
Biggs	0.0497914
"South Asian"	0.0497686
"five million"	0.0496759
"another @@@,@@@"	0.0495708
"Albany County"	0.0493713
Korean	0.0493337
"big leaguer"	0.0492187
"more than @@@ million"	0.0491069
eighty	0.0490944
"about @ million"	0.0487285
"One Million"	0.0487144
"over @,@@@"	0.0486179
southland	0.0485514
"more than one million"	0.0485359
septuagenarian	0.0485235
Kurd	0.0483779
Mayan	0.0482908
"Bay State"	0.0482698
Bedouin	0.0482653
"over @@ million"	0.0482489
"almost @,@@@"	0.0477416
Ivorian	0.0476147
"honorable mention"	0.0475349
Amish	0.0475288
"South Korean"	0.0474081
Israeli-Arab	0.047394
Yoruba	0.0473468
slain	0.0472512
"Southern Baptist"	0.0472318
Coptic	0.0471633
G.M	0.0471134
drug-free	0.047111
Quaker	0.0470247
"eight million"	0.0468406
interagency	0.0467007
ultra-Orthodox	0.0466421
"about @@ million"	0.0466359
"foreign service officer"	0.0465131
Oriole	0.0463
Italian-Americans	0.0462348
"roughly @@,@@@"	0.0462232
Camerounian	0.0462165
UNC	0.0461365
"first pitcher"	0.0461105
monarchist	0.0460463
"direct action"	0.0460198
Kosovar	0.0459749
"enlisted man"	0.0458033
Whitehead	0.0457924
octogenarian	0.0456401
Aborigine	0.0456089
CASS	0.0455867
))
("Asian Americans" (desc 2669.35) (sims
Asian-Americans	0.326245
Anglos	0.219053
Asian-American	0.19138
"African Americans"	0.188292
"Hispanic American"	0.160492
Hispanic	0.158988
African-American	0.146781
Latino	0.145648
"people of color"	0.14502
Italian-Americans	0.143655
non-whites	0.135059
Asian	0.133394
Mexican-Americans	0.113926
"African American"	0.113596
"American Indian"	0.10935
Quebecers	0.107364
Caucasian	0.107289
"Puerto Rican"	0.103566
"Asian American"	0.103347
Hawaiians	0.0921457
Ecuadoreans	0.0910817
registrant	0.0881348
Chinese-Indonesians	0.0847173
non-Jew	0.0831678
Beijingers	0.0827114
Cuban-Americans	0.082399
"New Jerseyans"	0.0823873
Anglo	0.0822401
nonwhites	0.0815288
Filipino	0.0812383
Haitian	0.0807328
"native American"	0.0807193
"union member"	0.0805824
Chinese-Americans	0.079456
Koreans	0.0785817
Arab-Americans	0.0767137
"American Jews"	0.0750083
eighth-graders	0.0747567
"union worker"	0.073921
"San Franciscans"	0.0733225
centenarian	0.0715394
Uighurs	0.0711478
Navajos	0.0708824
"South Carolinian"	0.0699317
"Orthodox Jews"	0.0687837
Basques	0.0669966
"British people"	0.0660055
Maori	0.0652138
Tibetans	0.0643058
transnationals	0.0627216
Taiwanese	0.0620002
suffrage	0.0619502
"national income"	0.0609941
Algerian	0.0600841
Malay	0.0593453
probationer	0.0591418
Peruvian	0.0591049
Copt	0.0588278
Armenians	0.0587383
"blood donor"	0.0586675
Dominican	0.0583906
interviewee	0.057999
Ph.D.s	0.0577248
"black woman"	0.0575219
major-leaguers	0.0573512
examinees	0.0557569
lesbian	0.0556835
Slovaks	0.0556558
Japanese-Americans	0.0555495
Missourian	0.0553605
YPF	0.0552584
"business traveler"	0.0548883
Floridian	0.0548776
drownings	0.0548749
"faculty member"	0.0548708
Aborigine	0.0546215
feminist	0.0546056
"South Koreans"	0.0538154
"deep red"	0.0534852
part-timer	0.0531713
Southerner	0.0531579
"Latin American"	0.0528301
enlistee	0.0528266
fourth-graders	0.0528235
Montenegrins	0.0526956
suburbanite	0.0526373
"New Zealander"	0.0520312
multinationals	0.0516315
Atlantans	0.0515182
"Israeli Arabs"	0.0511635
"Southern Democrats"	0.0509218
Californian	0.0508824
firsts	0.0506864
"New York Republicans"	0.0505986
job-seekers	0.0504514
"white woman"	0.0504493
"foreign officials"	0.0504175
mainlanders	0.0503919
"Packard Bell"	0.0502514
nonprofits	0.0502167
westerner	0.0501897
dweller	0.0500189
drinker	0.0496192
holidaymaker	0.0496071
do-it-yourselfers	0.0494745
Greeks	0.0494006
Vermonter	0.0493746
"married woman"	0.0490056
Creationists	0.0489869
illegals	0.0489128
farmworkers	0.0488224
"club member"	0.0487878
Muscovite	0.0487222
Londoner	0.0486173
"French people"	0.0485338
Guatemalan	0.0485288
Ugandan	0.0485215
"North Carolinian"	0.0485178
respondent	0.0483904
test-takers	0.0483547
"heavy hitter"	0.048261
evangelicals	0.0482598
VMs	0.0482331
undergraduate	0.0481955
Chicagoans	0.0481491
businesspeople	0.0480939
sportsmen	0.0479532
Ohioan	0.0479107
"job seeker"	0.0478237
carjackings	0.0477055
Hungarian	0.0476656
non-Muslims	0.047589
Eskimo	0.0475025
congregants	0.047492
policyholder	0.0473043
"Kosovo Serbs"	0.0472036
medium-sized	0.0471817
"House Republicans"	0.0471676
Cambodian	0.0471334
non-Catholic	0.0470893
"senior citizen"	0.0470166
"Sephardic Jews"	0.0468676
Libertarian	0.0468533
"East Timorese"	0.0467277
Angelenos	0.0466784
elector	0.046644
VCs	0.046609
"Sri Lankans"	0.046503
low-income	0.0464796
"market watcher"	0.0464525
Moslem	0.0463731
Milken	0.0462004
Sikh	0.0460737
"social group"	0.0460437
adoptees	0.045765
Frenchmen	0.0456973
sufferer	0.0456266
nonsmoker	0.0454047
Macedonian	0.0453848
gamers	0.0453762
"Medicare HMOs"	0.0452422
"temporary worker"	0.0452105
criminologists	0.0451308
Vasile	0.0451283
"dog bite"	0.0451056
"drug user"	0.0451039
"Cuban Americans"	0.0450534
Ukrainians	0.0450244
chipmakers	0.0449438
"red blood cell"	0.0448342
hemophiliac	0.0448193
"Mitsubishi Motors"	0.0447809
"business sector"	0.0446672
Arizonan	0.0443102
"church member"	0.0442299
policy-makers	0.0441904
Angolan	0.0441692
Georgian	0.0441478
Ghanaians	0.044116
renter	0.0440647
parolee	0.0436114
"Member States"	0.0436048
learner	0.0434509
homebuyers	0.0434083
leaver	0.043408
"home buyer"	0.0434063
"New Englander"	0.043375
"health care provider"	0.0433524
"foster child"	0.0433438
unionist	0.0432688
"New York Democrats"	0.0430496
Nepalese	0.0429248
exhibitor	0.0428885
populace	0.0427541
"AIDS patient"	0.0424845
Paraguayan	0.0423376
parliamentarian	0.0422602
"labor union"	0.0421582
claimant	0.0420822
ifs	0.042062
))
("Asian Championships" (desc 1533.88) (sims
"World Junior Championships"	0.178995
Asiad	0.155826
"Nagano Olympics"	0.154363
"Barcelona Games"	0.150755
"Barcelona Olympics"	0.138048
"Asian Games"	0.125487
"World Championships"	0.125256
"Seoul Olympics"	0.123282
"Bangkok Asian Games"	0.122152
"Atlanta Olympic Games"	0.114522
"Centennial Olympic Games"	0.113511
"East Asian Games"	0.11227
"Myanmar Embassy"	0.109756
"Nagano Winter Olympics"	0.109033
"World Swimming Championships"	0.105229
"Asian Cup"	0.100296
"Group B."	0.0996888
"SEA Games"	0.0969896
"Atlanta Olympics"	0.0966449
"World Cycling Championships"	0.0958804
"World University Games"	0.0957647
Albertville	0.0953932
"Southeast Asian Games"	0.0931422
"Asian Winter Games"	0.0929495
"Pan Am Games"	0.0908502
Universiade	0.0904562
"European Championships"	0.0897424
"Eighth National Games"	0.0891987
"World Figure Skating Championships"	0.0889956
"Pan American Games"	0.0849328
"Atlanta Games"	0.0844804
"Olympic Winter Games"	0.0825216
"National Games"	0.0803596
"Sydney Olympics"	0.079606
"World Weightlifting Championships"	0.0786043
Lillehammer	0.0777515
"Winter Olympics"	0.0764327
"Winter Olympic Games"	0.0759564
"Commonwealth Games"	0.0713224
held	0.0707198
"Summer Olympics"	0.0697986
Paralympics	0.0684714
"Goodwill Games"	0.0683819
backstroke	0.0636271
Nagano	0.0636031
"World Table Tennis Championships"	0.0630475
"Basketball Championship"	0.0619075
Hiroshima	0.0609738
"Division I-AA"	0.0607207
"Sudirman Cup"	0.0605108
"European Swimming Championships"	0.0600528
"World Athletics Championships"	0.0594072
"Sydney Games"	0.0590946
"NFC Central"	0.0583983
"first weekend"	0.057183
decathlon	0.0571809
"Southeast Asian"	0.0568284
"AFC Central"	0.0560494
"relay race"	0.0559272
"Summer Games"	0.0549761
"Japan Open"	0.054346
"Fourth World Conference"	0.0540151
"Arkansas Derby"	0.0536084
breaststroke	0.0531616
Trondheim	0.0531106
"Thomas Cup"	0.0526314
"British Embassy"	0.0517514
"hammer throw"	0.051457
"Israeli Embassy"	0.0513051
stargazer	0.0512093
regatta	0.0508499
"Sydney Olympic"	0.0505513
tourney	0.0500417
"Foreign Exchange Rates"	0.049997
"European Championship"	0.0496313
"University of China"	0.0488254
"Stade Velodrome"	0.0487944
Lahti	0.0486164
"Eastern Division"	0.0485938
"Museum of Chinese History"	0.048261
"AFC West"	0.0482065
"Japanese Embassy"	0.0480887
"Sydney Olympic Games"	0.0474217
"U.S. Senior Open"	0.0468042
"UN agency"	0.0467824
"Skate America"	0.0467247
"up to @.@ percent"	0.0466934
"vehicle sale"	0.0466174
Adelaide	0.0464349
Consulate-General	0.0462695
"intellectual property rights"	0.0459768
"Capital Airport"	0.0456113
Osaka	0.0455534
"NFC West"	0.045324
"Summer Olympic Games"	0.0449666
Innsbruck	0.0444189
"second weekend"	0.044313
Super-G	0.0443039
"Northeast Division"	0.0442362
"high jump"	0.0440645
"Hilton Hotel"	0.0434845
"Group A."	0.0432933
ASEM	0.0428173
"Diaoyutai State Guesthouse"	0.0424736
"auction block"	0.042311
"shot put"	0.0421585
"pole vault"	0.042006
"African Nations Cup"	0.0419506
"rainy season"	0.0412449
"National League West"	0.0412132
"AL Central"	0.0411567
Filderstadt	0.0411292
"Inter-Parliamentary Union"	0.0411287
Olympiad	0.0408445
"Confederations Cup"	0.0408244
"Top Fuel"	0.0408119
"Pacific Division"	0.0405573
"Field Poll"	0.0402547
))
("Asian country" (desc 54967.2) (sims
"Asian nation"	0.282431
"African country"	0.204956
"European country"	0.195802
country	0.181873
"Southeast Asia"	0.174018
Asia	0.171783
Thailand	0.165684
"African nation"	0.159251
"Balkan country"	0.152216
Bangladesh	0.150824
nation	0.150634
"member country"	0.149794
region	0.14938
"Latin America"	0.147027
"European nation"	0.146315
Indonesia	0.14622
Japan	0.141444
China	0.140682
"Republic of Korea"	0.138806
"East Asia"	0.138627
Africa	0.137585
Philippines	0.134662
India	0.134132
Malaysia	0.133916
Pakistan	0.13308
"South American country"	0.13233
Russia	0.132007
"South Korea"	0.13178
"Central American country"	0.131033
Mongolia	0.13077
Cambodia	0.130235
Myanmar	0.129931
Europe	0.125792
"South Africa"	0.125418
"Hong Kong"	0.125126
Iran	0.12347
Singapore	0.123398
"Sri Lanka"	0.123294
Egypt	0.122619
ASEAN	0.121591
Vietnam	0.120722
ROK	0.120257
Taiwan	0.119981
"United States"	0.118181
"Association of Southeast Asian Nations"	0.117476
Tanzania	0.1173
Zimbabwe	0.117239
Ukraine	0.116069
Brazil	0.115641
Asian	0.115613
Laos	0.115573
Kazakhstan	0.114622
"Middle East"	0.114376
Kenya	0.113945
Zambia	0.11378
Nepal	0.11361
sector	0.113473
Ethiopia	0.113441
"Saudi Arabia"	0.112581
continent	0.112369
Mozambique	0.112052
"Western Europe"	0.111944
mainland	0.111713
economy	0.110581
Poland	0.110085
Republic	0.109789
Mexico	0.109759
"United Kingdom"	0.109351
Turkey	0.107966
Algeria	0.107286
province	0.107002
Nigeria	0.106835
Uganda	0.106462
"trading partner"	0.105972
"European Union"	0.105866
neighbor	0.105487
Britain	0.104863
"Eastern Europe"	0.104816
Bulgaria	0.10481
Kyrgyzstan	0.103655
Australia	0.103252
African	0.102925
Peru	0.1026
Romania	0.102532
"Commonwealth of Independent States"	0.102517
"member nation"	0.102498
Brunei	0.102301
Hungary	0.101757
EU	0.10174
"Viet Nam"	0.101215
state	0.101167
Uzbekistan	0.1003
"South Asia"	0.10011
Colombia	0.0998726
Sudan	0.0987602
Angola	0.0986034
Macao	0.0982494
Venezuela	0.0982323
Kingdom	0.0980562
Canada	0.0963312
"Democratic People's Republic of Korea"	0.0961964
enterprise	0.0959802
Tajikistan	0.0955941
DPRK	0.0951905
"New Zealand"	0.0948217
Germany	0.0945815
Afghanistan	0.0941147
"Central America"	0.0940283
Yemen	0.0938514
Korea	0.0935444
"rural area"	0.0934619
"North America"	0.093226
Burundi	0.0930919
"South America"	0.0930286
"Far East"	0.0929506
Argentina	0.0919377
Moldova	0.0915716
Turkmenistan	0.0914474
"Papua New Guinea"	0.091179
industry	0.0907499
community	0.0904831
Albania	0.0902013
UAE	0.0901372
Tibet	0.0900668
Kuwait	0.0899121
Armenia	0.0897172
France	0.089455
"United Arab Emirates"	0.089063
Israel	0.0889725
market	0.0884127
"North Korea"	0.0882992
Ecuador	0.0873605
Iraq	0.0873038
U.S.	0.0868212
"Latin American"	0.0865317
Syria	0.0865059
Italy	0.0863946
Bolivia	0.0863413
Cuba	0.0857323
Botswana	0.0856401
Oman	0.0851876
Lebanon	0.0844061
Namibia	0.0841
"Balkan nation"	0.0840541
central	0.083871
area	0.0838108
"Gulf Cooperation Council"	0.0834643
Belarus	0.0831873
Cyprus	0.0829739
Libya	0.0829692
Jordan	0.082232
Nicaragua	0.0822138
Chile	0.0821003
Somalia	0.0820713
"international organization"	0.0819098
Shanghai	0.0818275
Greece	0.0818138
Portugal	0.0817596
Guangdong	0.0813527
BEIJING	0.0813273
European	0.0812132
exporter	0.0810249
Uruguay	0.0808228
Burma	0.0807674
Belgium	0.0806745
Austria	0.0803401
government	0.0800772
city	0.0800419
Yugoslavia	0.0798801
"Central Asia"	0.0793182
locality	0.0787226
"Southern African Development Community"	0.0783351
Azerbaijan	0.0781981
"South American nation"	0.0778202
Switzerland	0.0776849
Ghana	0.0773881
Tunisia	0.0769247
county	0.0767044
Mercosur	0.0766758
bloc	0.0762032
"financial institution"	0.0759469
Yunnan	0.075934
institution	0.075862
"world economy"	0.0755856
UK	0.0753978
Fiji	0.0753631
Rwanda	0.0745926
LDCS	0.0745815
Asia-Pacific	0.0744293
Kazakstan	0.0739833
municipality	0.073771
"urban area"	0.0732364
"Soviet Union"	0.0732178
"Sierra Leone"	0.0729998
"local government"	0.0728953
Spain	0.0723663
"major power"	0.072282
Malawi	0.0722794
Qatar	0.0721157
world	0.0721062
))
("Asian Cup" (desc 2685.74) (sims
"African Nations Cup"	0.284589
"Libertadores Cup"	0.237268
"Japan Open"	0.237259
"European Championship"	0.231021
"Thomas Cup"	0.221812
"African Cup"	0.21908
"Champions Cup"	0.215819
"Uber Cup"	0.209195
"Louis Vuitton Cup"	0.20877
"Confederations Cup"	0.208163
"European Champions Cup"	0.208065
"European Cup"	0.205234
"Stockholm Open"	0.204841
CONCACAF	0.203547
"Euro @@@@"	0.201769
"Davis Cup World Group"	0.199368
"Federation Cup"	0.196473
"Copa America"	0.195836
"Hamlet Cup"	0.194913
EuroLeague	0.193109
"Canadian Open"	0.191622
"German Open"	0.190231
"Hong Kong Open"	0.178823
"European Championships"	0.178614
"League Cup"	0.170173
"F.A Cup"	0.169102
"Grand Slam Cup"	0.168443
"UEFA Cup"	0.166877
"Italian Open"	0.166216
"Italian Cup"	0.165608
"World Group"	0.164691
"Sudirman Cup"	0.160725
"European Champions League"	0.158769
"Fed Cup"	0.157558
"Nations Cup"	0.15515
"National Invitation Tournament"	0.154129
"Acura Classic"	0.153888
Asiad	0.152959
"Maurier Open"	0.150407
"U.S. Amateur"	0.149771
"Champions League"	0.14796
"ATP Championship"	0.146881
"Midwest Regional"	0.146861
"West Regional"	0.146704
"Davis Cup"	0.146617
"Paris Open"	0.146555
"US Open"	0.146206
"Australian Open"	0.143647
Maurier	0.142657
"Asian Games"	0.139579
"stroke play"	0.138762
"Kremlin Cup"	0.136985
"World University Games"	0.135899
"Swiss Open"	0.13379
"FA Cup"	0.133653
"SEA Games"	0.13351
"Little League World Series"	0.131459
"Phoenix Open"	0.131203
"French Open"	0.130315
"Atlanta Olympic Games"	0.12817
"United States Open"	0.12804
"U.S. Senior Open"	0.126956
"Gold Cup"	0.126103
"Hopman Cup"	0.124935
"Lipton Championships"	0.12408
under-@@	0.123606
"Pan American Games"	0.121444
"South Regional"	0.120877
"field hockey"	0.120487
"Cup Winners Cup"	0.119764
"Commonwealth Games"	0.119696
"World Cup"	0.119078
"World Championships"	0.118167
"Dunhill Cup"	0.117578
"Southeast Asian Games"	0.116865
"Olympic Games"	0.116713
nit	0.113809
inaugural	0.113597
"ice hockey"	0.113141
"Sydney Olympics"	0.111359
"Summer Olympic Games"	0.110118
"World League"	0.109288
"round robin"	0.108341
"cup final"	0.10802
"U.S. Open"	0.107509
"New York City Marathon"	0.107303
epee	0.105146
"Chase Championships"	0.104945
tourney	0.104242
"Western Open"	0.104111
"Summer Olympics"	0.10284
men's	0.101794
"London Marathon"	0.101109
"Big Sky Conference"	0.100447
"Asian Championships"	0.100296
"Sydney Olympic Games"	0.100193
"Pan Am Games"	0.099865
"Boston Marathon"	0.099014
"Summer Games"	0.0984085
pentathlon	0.098394
"Top Fuel"	0.0979898
"Southwest Conference"	0.0972309
"ATP Tour"	0.0962437
"ATP Tour World Championship"	0.0952216
Wimbledon	0.0950519
"National Games"	0.0947498
"NCAA Tournament"	0.0947081
ATP	0.0946311
"College World Series"	0.0941478
"Conference USA"	0.0941128
"World Youth Games"	0.0938916
"Volleyball Grand Prix"	0.0930522
backstroke	0.0922029
Universiade	0.0917544
"Group @"	0.0913944
"MLS Cup"	0.0913314
"Pan Ams"	0.0913045
"first cup"	0.0911862
"World Table Tennis Championships"	0.0910693
"World Cup Finals"	0.0906285
Oceania	0.0905941
volleyball	0.0904383
"Buick Invitational"	0.090191
"Southeast Asian"	0.0899213
"high jump"	0.0896244
"Big West"	0.089411
"three-day event"	0.0882195
"Atlanta Olympics"	0.0880677
freestyle	0.0880377
"Brickyard @@@"	0.0876407
"match play"	0.0874888
"Volleyball Championship"	0.0872954
snooker	0.0867216
"World Team Cup"	0.0867116
"Winter Olympic Games"	0.0863142
"Goodwill Games"	0.0857396
"PGA Championship"	0.0853231
"table tennis"	0.085288
"Wimbledon Tennis Championships"	0.0850276
"Western Athletic Conference"	0.0848994
breaststroke	0.0847182
"AFC East"	0.0846655
"Sydney Games"	0.0843298
Lipton	0.0843099
"Winter Olympics"	0.0838817
"National Book Award"	0.083815
"NFC East"	0.0834003
"Tour Championship"	0.083257
"ASEAN Ministerial Meeting"	0.0831267
"Division @"	0.0828421
"South American"	0.0826753
"World Basketball Championship"	0.0826724
"East Regional"	0.0815473
WCC	0.0813635
"Nissan Open"	0.0812222
"Big Sky"	0.0805118
"British Open"	0.080447
"World Petroleum Congress"	0.0798856
badminton	0.0798098
"Indy @@@"	0.0797997
CAA	0.0797375
handball	0.079508
"Big East"	0.0789014
"Grand Prix"	0.0776664
"long jump"	0.0775914
scull	0.0769622
"Olympic Trials"	0.0761014
"World Athletics Championships"	0.0760918
WTA	0.0752011
pre-Olympic	0.0747204
"grand slam"	0.0745427
"water polo"	0.0745283
"shot put"	0.0742533
"World Junior Championships"	0.0741646
"Busch Grand National"	0.0737634
"Tony Awards"	0.0732319
WNBA	0.0731521
"Buick Classic"	0.0730688
"Group A."	0.0730229
"AFC West"	0.0730053
"World Championship"	0.0729899
"Atlanta Games"	0.0729727
decathlon	0.0727862
"NEC Invitational"	0.0726697
"Western Conference"	0.072625
"Olympic Winter Games"	0.0725983
"Tony Award"	0.0725202
"Stanley Cup"	0.0722007
ACC	0.0715515
"International AIDS Conference"	0.0714576
triathlon	0.0713203
"Southeastern Conference"	0.0711594
"Eastern Conference"	0.0709022
regionals	0.0705345
"National League West"	0.0704055
biathlon	0.0703448
"U.S. Opens"	0.0703077
"Winning Colors"	0.0700584
"Winter Games"	0.0698555
CWS	0.0697985
))
("Asian Development Bank" (desc 11505.3) (sims
"World Bank"	0.301996
ADB	0.260114
"United Nations Development Program"	0.226624
"African Development Bank"	0.220453
"Inter-American Development Bank"	0.215604
"European Investment Bank"	0.209745
"U.N. Development Program"	0.200521
"International Monetary Fund"	0.199361
"Overseas Economic Cooperation Fund"	0.186198
"United Nations Children's Fund"	0.182906
IDB	0.174175
"World Food Program"	0.173101
UNDP	0.171148
"International Labor Organization"	0.168937
"World Health Organization"	0.165867
"United Nations Conference on Trade and Development"	0.158355
"United Nations Population Fund"	0.157416
"International Finance Corporation"	0.154838
"Interamerican Development Bank"	0.153157
"Agency for International Development"	0.152864
"Global Environment Facility"	0.152314
"European Commission"	0.150035
"Islamic Development Bank"	0.148806
IMF	0.148054
"State Development Bank"	0.147314
"International Development Association"	0.145883
"United Nations Environment Program"	0.144238
"United Nations Industrial Development Organization"	0.139422
"Export-Import Bank"	0.137521
"financial organization"	0.137048
"United Nations Drug Control Program"	0.133853
"Food and Agriculture Organization"	0.12693
EBRD	0.125732
"United Nations Educational, Scientific and Cultural Organization"	0.125248
"lending institution"	0.124057
"European Bank for Reconstruction"	0.123656
"Canadian International Development Agency"	0.122303
UNICEF	0.121057
"financial institution"	0.119513
"United Nations agency"	0.119267
WFP	0.119133
"U.S. Export-Import Bank"	0.11864
"Economic Commission for Africa"	0.117652
"World Intellectual Property Organization"	0.117465
"U.N. Environment Program"	0.115913
"Tourism Authority of Thailand"	0.115733
"U.N. agencies"	0.115268
"National Science Foundation"	0.115129
"international organization"	0.114158
"Paris Club"	0.111793
UNESCO	0.110892
"Board of Investment"	0.110081
"municipal government"	0.10878
ESCAP	0.107388
"State Development Planning Commission"	0.106128
"State Science and Technology Commission"	0.105687
"Ministry of Agriculture"	0.105554
"central bank"	0.105518
UNHCR	0.105344
"State Planning Commission"	0.104763
"Hong Kong Monetary Authority"	0.104734
"Bank of Japan"	0.103887
"Ford Foundation"	0.103853
"Philippine Central Bank"	0.103736
"Agriculture Ministry"	0.103048
"United Nations High Commission for Refugees"	0.102001
"Ministry of International Trade and Industry"	0.101816
"European Union"	0.100425
"Civil Aviation Administration of China"	0.100222
"World Tourism Organization"	0.10018
"Bank of Thailand"	0.0996364
"World Meteorological Organization"	0.0988651
"Inter-Parliamentary Union"	0.0988459
"Bank for International Settlements"	0.0985488
"UN agency"	0.0983986
"World Bank Group"	0.097936
"monetary fund"	0.0976649
Eximbank	0.0972697
"Bank of China"	0.0965728
"commercial bank"	0.0961564
"Hong Kong Trade Development Council"	0.0961461
"Commerce Ministry"	0.0957401
"Ministry of Forestry"	0.0955296
"International Committee of Red Cross"	0.0951482
ILO	0.0947363
"Ministry of Finance"	0.0945696
"Ministry of Public Health"	0.0945141
"State Education Commission"	0.0940098
"International Committee"	0.0939848
"local government"	0.093641
"State Administration of Internal Trade"	0.0929643
"Shanghai Branch"	0.0929458
"State Administration of Cultural Heritage"	0.0927898
"Department of Health"	0.0925189
BOI	0.0921412
"Ministry of Internal Trade"	0.0920431
"State Statistics Bureau"	0.091951
"U.S. Treasury"	0.0918326
UNFPA	0.0917249
OECD	0.091333
IFC	0.0911719
UNAIDS	0.0911209
"Finance Ministry"	0.0910017
"Hong Kong Tourist Association"	0.0908324
"Ministry of Health"	0.090609
"International Federation"	0.090035
"Ministry of Education"	0.0898587
ECA	0.0897861
"ASEAN Secretariat"	0.089673
"Organization for Economic Cooperation and Development"	0.0893793
donor	0.0891507
"Small Business Administration"	0.0888622
"European Community"	0.0888324
"United Nations"	0.0881697
"Health Ministry"	0.0877597
"Ministry of Foreign Trade and Economic Cooperation"	0.0876192
"Beijing Municipal Government"	0.0875112
"Ministry of Trade and Industry"	0.0873122
"Federal Emergency Management Agency"	0.0868709
EC	0.0865358
"United Nations High Commissioner for Refugees"	0.0857471
"Association of Southeast Asian Nations"	0.0856656
"Ministry of Water Resources"	0.0855439
"State Economic and Trade Commission"	0.0854171
"State Forestry Administration"	0.0850097
lender	0.0849462
"Department of Trade and Industry"	0.0848359
"Chinese Academy of Social Sciences"	0.0846624
"Ministry of Public Security"	0.0846252
"National Institutes of Health"	0.0845128
"Ministry of Communications"	0.0843949
"State Administration of Taxation"	0.0835344
"Ministry of Culture"	0.0833684
"Ministry of Railways"	0.0832317
"International Red Cross"	0.0831801
"China Securities Regulatory Commission"	0.0831519
"U.S. State Department"	0.0830609
FAO	0.0829842
"National Cancer Institute"	0.0824861
UNCTAD	0.0824816
"Group of Seven"	0.0818579
"International Atomic Energy Agency"	0.0815408
SDB	0.0812894
"Ministry of Posts"	0.0810956
"foreign direct investment"	0.0805867
"Ministry of Construction"	0.0802716
"International Olympic Committee"	0.0800899
"Ministry of Information Industry"	0.0799583
"Ministry of Science"	0.0799285
"Philippine National Police"	0.0797328
"Ministry of Civil Affairs"	0.0790691
"election commission"	0.0790216
"planning commission"	0.0789132
"high commissioner"	0.0788911
Interpol	0.0783722
"United States government"	0.0779402
"Kaiser Family Foundation"	0.0778203
"South Asian Association for Regional Cooperation"	0.0777164
"Red Cross"	0.0772945
"World Jewish Congress"	0.0770472
"Defense Department"	0.0770363
"Department of Education"	0.0769527
"U.N. High Commissioner for Refugees"	0.0768684
"European Central Bank"	0.0768249
"U.S. Defense Department"	0.0765206
"Organization of American States"	0.0764867
"Arab League"	0.0764158
"World Wildlife Fund"	0.0763523
"Asia Pacific Economic Cooperation"	0.076189
"Education Department"	0.0758108
"China National Tourism Administration"	0.0756945
ICRC	0.0755968
creditor	0.0754041
"Organization of African Unity"	0.0752992
"Ministry of Tourism"	0.0751967
"U.S. Agriculture Department"	0.074977
"National Tourism Administration"	0.0749546
USDA	0.0746218
"reserve bank"	0.0739041
"Home Ministry"	0.0738982
"China Council"	0.0737891
"Economic Planning Agency"	0.0737691
"Philippine Senate"	0.073702
"International Civil Aviation Organization"	0.0736815
"Australian Olympic Committee"	0.0736791
"Industrial and Commercial Bank of China"	0.0736624
"Southern African Development Community"	0.0732848
"Central Bank of Nigeria"	0.0732155
"Agriculture Department"	0.0726911
"chamber of commerce"	0.0726574
WB	0.0725711
"Asia Society"	0.0725203
"State Statistical Bureau"	0.0724018
"Economic and Social Council"	0.0724008
"Department of Agriculture"	0.0723822
"General Administration of Customs"	0.0720571
ICBC	0.0719972
"Central Bureau of Statistics"	0.071972
"Xinhua News Agency Hong Kong Branch"	0.0718465
"All-China Youth Federation"	0.0717953
))
("Asian Football Confederation" (desc 1595.52) (sims
"Olympic Council of Asia"	0.214049
"U.S. Soccer Federation"	0.17397
IGC	0.147449
"Chinese Olympic Committee"	0.139775
"National Council of Churches"	0.13107
"International Amateur Athletics Federation"	0.123432
OAS	0.119458
"United Malays National Organization"	0.116789
CAF	0.116216
NSC	0.114667
OCA	0.111503
"International Badminton Federation"	0.110532
UEFA	0.110119
"French Foreign Ministry"	0.103323
"Board of Supervisors"	0.102739
IAAF	0.101934
"World Jewish Congress"	0.101077
AFC	0.099685
"International Amateur Athletic Federation"	0.0989684
"Australian Olympic Committee"	0.098406
"Liberation Movement"	0.0972952
"Association for Relations Across"	0.0957359
CFA	0.0950606
MSF	0.0949
FRELIMO	0.0946285
CPV	0.0926283
"World Petroleum Congress"	0.091331
CEC	0.0910713
"Israeli Foreign Ministry"	0.0907725
"Turkish Foreign Ministry"	0.0900777
"Barisan Nasional"	0.089839
"Malaysia Airlines"	0.089698
MPLA	0.08968
FIFA	0.0885709
CPN-ML	0.0878277
"Inter-Parliamentary Union"	0.0869052
"South Pacific Forum"	0.0867174
"Organization of American States"	0.0866558
"National Council"	0.0861764
"International Federation"	0.0861628
"Hong Kong Tourist Association"	0.0854761
"Thai Foreign Ministry"	0.0853023
"EU Commission"	0.08441
"Defense Agency"	0.0836199
COSATU	0.0826324
"Israeli Cabinet"	0.0825174
ARATS	0.0821875
"Socialist Party"	0.0818501
ZCTU	0.081271
"China Youth Development Foundation"	0.0809723
UCI	0.0809284
"National League for Democracy"	0.0802117
"China Society"	0.0790432
"Atlanta Committee"	0.0787607
"Arab League"	0.0786704
"World Health Assembly"	0.0784687
"Russian Defense Ministry"	0.0784565
CAA	0.0784083
"USA Basketball"	0.0783007
"World Tourism Organization"	0.0776243
"Agriculture Ministry"	0.0770328
Confederation	0.0769949
"Consultative Group"	0.0761357
FIBA	0.0760659
"Democratic Front"	0.0757041
BOI	0.0752508
"National Federation"	0.0747755
AFA	0.0745146
"National Association"	0.0738292
FIVB	0.0733089
"Culture Ministry"	0.0730264
"U.S. Olympic Committee"	0.0729309
"Russian Security Council"	0.0727766
"Civil Aviation Authority"	0.0725344
"International Tennis Federation"	0.0724951
"British Foreign Office"	0.0721248
"Board of Investment"	0.0717236
"financial officer"	0.071402
CMAG	0.0711988
Renamo	0.0710332
NLD	0.0709937
PCF	0.0708605
"Islamic Development Bank"	0.0708058
"Kuala Lumpur Stock Exchange"	0.0707614
"Ministry of International Trade and Industry"	0.0707499
"Philippine Senate"	0.0702784
"International Society"	0.0702066
"National Society"	0.0698453
"Labor Ministry"	0.0698179
"General Committee"	0.0698046
"Vietnamese Communist Party"	0.0697303
"Olympic Committee"	0.0696496
"U.S. Defense Department"	0.069544
SPS	0.0694646
"Association of Flight Attendants"	0.0693926
"Tourism Authority of Thailand"	0.0691251
Wenger	0.0691226
FINA	0.0690402
"National Commission"	0.069003
UNIP	0.0689624
FUNCINPEC	0.0687143
"Awami League"	0.0686767
"Gulf Cooperation Council"	0.0679325
"International Olympic Committee"	0.0678647
"International Ski Federation"	0.0676257
"International Cycling Union"	0.0674793
"Asian Development Bank"	0.0674086
"Council of Europe"	0.0669241
"International Association of Machinists"	0.0668476
"United States Congress"	0.0665552
"U.S. Immigration and Naturalization Service"	0.0665235
"Hong Kong Monetary Authority"	0.0663282
"Executive Committee"	0.0662986
CASS	0.0660415
"Cambodian People's Party"	0.0658827
Bundestag	0.0653521
"Board of Governors"	0.0651052
"European Court of Justice"	0.0650431
"U.S. Golf Association"	0.0649752
"Consumer Product Safety Commission"	0.0649051
"South African Communist Party"	0.064871
"European Commission"	0.0648517
"United Nations Conference on Trade and Development"	0.064815
"International Congress"	0.0647004
AmCham	0.0646414
"Secretary General Esmat Abdel-Meguid"	0.0644779
Severino	0.064296
"Guardian Council"	0.0641315
"Central Election Commission"	0.0640943
"Russian Duma"	0.0637772
"Pacific Exchange"	0.0631549
"U.S. State Department"	0.0626952
"Federal Assembly"	0.0626246
"African National Congress"	0.0623405
"Thai Airways International"	0.0622486
"Straits Exchange Foundation"	0.0621687
"Israeli Knesset"	0.0620748
"Labor office"	0.0620473
"Christian Social Union"	0.0617888
"Ministry of Defense"	0.0616723
CDU	0.0614171
"Thai Farmers Bank"	0.0612815
Interpol	0.0612589
"Los Angeles City Council"	0.0611545
"American Association of Health Plans"	0.0611452
"Vietnam Airlines"	0.0609615
"United Nations Industrial Development Organization"	0.0609164
"NFL Players Association"	0.0605569
"Special Session"	0.0604008
UML	0.0602451
"Stock Exchange of Thailand"	0.0601433
Esser	0.0601253
"Association of Southeast Asian Nations"	0.0600623
"Ministry of Culture"	0.0598541
BSF	0.0598407
"Home Ministry"	0.05969
"Central Committee"	0.0594982
"Senate Armed Services Committee"	0.0594403
"Organization of Islamic Conference"	0.0594387
Westendorp	0.0594344
"Croatian Democratic Union"	0.0593605
"Supreme Soviet"	0.0593155
"Funcinpec Party"	0.0591655
"Palestinian National Council"	0.0590924
"Asia Pacific Economic Cooperation"	0.0588101
SPC	0.0587604
"Palestinian Legislative Council"	0.0586884
"Nevada Athletic Commission"	0.0585356
"Communications Workers of America"	0.0584635
"Department of Environment"	0.0584033
"Rwandan Patriotic Front"	0.058245
"Thomas Cup"	0.0582249
Panchen	0.0581203
"American Psychiatric Association"	0.0580776
CPN-UML	0.0580562
CPAFFC	0.057871
"National Audubon Society"	0.0578025
"World Meteorological Organization"	0.0577722
CITES	0.057743
"Palestinian Liberation Organization"	0.0577132
"planning board"	0.0577051
"Pakistan Muslim League"	0.0576277
FIA	0.057595
FIS	0.0575546
"Malaysian capital"	0.0575003
"Chinese Communist Party (CPC) Central Committee"	0.0574339
"National Conference"	0.0572313
"executive agency"	0.0572066
Bundesbank	0.0569989
"Department of Health"	0.0569315
"World Vision"	0.0568823
Klestil	0.0568614
"Federal Reserve Bank of New York"	0.0568049
UUP	0.0567223
"International Labor Organization"	0.0566575
"Organizing Committee"	0.0566265
"National Trust"	0.056547
"Russian Space Agency"	0.056508
ESCAP	0.056484
AMM	0.0564222
))
("Asian Games" (desc 28556.2) (sims
"Commonwealth Games"	0.284214
"Olympic Games"	0.261011
Asiad	0.260183
"World University Games"	0.25533
"Atlanta Olympic Games"	0.234929
"Sydney Olympic Games"	0.225122
"Pan American Games"	0.217093
"Goodwill Games"	0.216667
"Eighth National Games"	0.214654
"World Athletics Championships"	0.210976
"Atlanta Games"	0.20949
"Sydney Olympics"	0.203718
"European Championships"	0.19487
Olympics	0.193361
"Atlanta Olympics"	0.191377
"Winter Olympics"	0.190043
"Olympic Winter Games"	0.189969
Universiade	0.188141
"World Cup"	0.185715
"East Asian Games"	0.185409
"Summer Olympics"	0.184741
"National Games"	0.184479
"World Championships"	0.183097
"Southeast Asian Games"	0.182161
championship	0.178027
"Bangkok Asian Games"	0.17421
"Summer Games"	0.170897
"Sydney Games"	0.167915
"Pan Am Games"	0.163203
"SEA Games"	0.163081
"Barcelona Games"	0.158723
"European Championship"	0.15618
"World Swimming Championships"	0.152756
"Winter Olympic Games"	0.143479
"Barcelona Olympics"	0.142161
"Winter Games"	0.139667
"Asian Cup"	0.139579
tournament	0.137402
"Summer Olympic Games"	0.137344
"Australian Open"	0.136936
"European Swimming Championships"	0.135815
"Pan Pacific"	0.13517
"cup final"	0.132989
"Seoul Olympics"	0.131244
"Centennial Olympic Games"	0.130523
"World Table Tennis Championships"	0.130419
"French Open"	0.127813
"Asian Winter Games"	0.126825
"Asian Championships"	0.125487
"Grand Prix"	0.123824
"U.S. Open"	0.123771
"European Cup"	0.121877
"Thomas Cup"	0.11969
"Nagano Winter Olympics"	0.117699
men's	0.117459
"World Junior Championships"	0.11618
"World Figure Skating Championships"	0.114951
tourney	0.112955
"Pan Ams"	0.112046
freestyle	0.11065
Wimbledon	0.110084
Paralympics	0.109562
breaststroke	0.107968
"Sydney Olympic"	0.106975
"Copa America"	0.10689
"Davis Cup"	0.105056
"African Nations Cup"	0.104877
backstroke	0.104668
"Atlanta Olympic"	0.104279
marathon	0.103283
"Uber Cup"	0.10286
"Euro @@@@"	0.102177
competition	0.102154
"Asia-Europe Meeting"	0.102143
"Nagano Olympics"	0.102037
event	0.100567
"Japan Open"	0.100206
slalom	0.0996918
"U.S. Olympic"	0.0993078
"World Youth Games"	0.0974389
"Fed Cup"	0.0969712
relay	0.0955239
final	0.0952946
"World Basketball Championship"	0.0952931
"Wimbledon Tennis Championships"	0.0939529
Sydney	0.0937475
Olympic	0.0935363
"Italian Open"	0.0934566
"three-day event"	0.0933953
"Indian Wells"	0.0931778
"British Open"	0.0931678
"Grand Slam Cup"	0.0924788
"Lipton Championships"	0.0921923
"Stockholm Open"	0.0916162
"US Open"	0.0911754
EuroLeague	0.0908622
medley	0.0895048
"Ryder Cup"	0.0893502
Nagano	0.0891302
"long jump"	0.0880385
"World Weightlifting Championships"	0.0874632
"track and field"	0.0871039
"Tour de France"	0.0867892
decathlon	0.0867102
"New York City Marathon"	0.0860417
"German Open"	0.0857935
"Confederations Cup"	0.0854676
Eastbourne	0.0853167
Heptathlon	0.0851191
"Paris Open"	0.0843503
Super-G	0.0839425
cup	0.0835572
Kitzbuehel	0.0832807
"UEFA Cup"	0.0828898
triathlon	0.082719
"Sudirman Cup"	0.0825326
"Champions League"	0.0825216
epee	0.0825068
"All-Star Game"	0.0823325
"Nations Cup"	0.0819743
Seville	0.0817255
"Canadian Open"	0.0811343
Exposition	0.0807355
"Southeast Asian"	0.0807316
Masters	0.0803624
"PGA Championship"	0.0801466
"ASEAN Ministerial Meeting"	0.0799523
"London Marathon"	0.0799153
"College World Series"	0.0795707
"Olympic Trials"	0.0794017
"World Cups"	0.0789941
athletics	0.078903
"Roland Garros"	0.0788561
"Gold Cup"	0.0786582
swimming	0.0785994
"Hamlet Cup"	0.0785249
"Boston Marathon"	0.0782736
Olympiad	0.0782725
regatta	0.0776329
"Melbourne Park"	0.0770715
"Swiss Open"	0.0767135
Hakuba	0.0766353
"high jump"	0.0763337
Barcelona	0.0761971
"shot put"	0.0759784
Filderstadt	0.0756944
"World Team Cup"	0.0753253
fair	0.0750472
"World Series"	0.0749011
weightlifting	0.0747796
"Hopman Cup"	0.0745783
Maurier	0.0742073
"International AIDS Conference"	0.0741883
"Skate America"	0.0741255
"World Cycling Championships"	0.0740154
"summit meeting"	0.0738051
downhill	0.0737181
Lillehammer	0.0737042
semifinal	0.0736524
"Italian Cup"	0.0734515
"Super Bowl"	0.0732064
"Millennium Summit"	0.0731978
conference	0.0729012
"Kremlin Cup"	0.0728355
"table tennis"	0.0726447
Gymnastics	0.0723767
volleyball	0.071938
"United States Open"	0.0718919
"Kentucky Derby"	0.0717402
"Indy @@@"	0.0713727
"grand slam"	0.071281
scull	0.071128
Perth	0.070858
dressage	0.0703988
AMM	0.070296
"general election"	0.069886
postseason	0.0696975
festival	0.069583
"pole vault"	0.0695803
"round robin"	0.0695376
contest	0.0694988
"African Cup"	0.0693199
Halle	0.069232
"Democratic National Convention"	0.0690824
"NCAA Tournament"	0.0686845
trial	0.0686687
"horizontal bar"	0.0686053
"Champions Cup"	0.0684965
"International Congress"	0.0684716
"FA Cup"	0.0683657
badminton	0.0681993
playoff	0.068163
gala	0.0681541
"field hockey"	0.0679677
Sestriere	0.0679516
"swimming meet"	0.0677873
qualifier	0.0675668
"Rose Bowl"	0.0673694
"World Group"	0.0668914
"ATP Tour"	0.066718
))
("Asian nation" (desc 23177) (sims
"Asian country"	0.282431
"African country"	0.176008
"African nation"	0.172201
"South American country"	0.168019
"European country"	0.164267
"Balkan country"	0.160193
"Central American country"	0.157369
"Southeast Asia"	0.155351
"European nation"	0.147247
"East Asia"	0.138003
Asia	0.1368
Indonesia	0.132912
Thailand	0.129789
country	0.128549
"Association of Southeast Asian Nations"	0.127977
Bangladesh	0.127683
nation	0.1269
Mongolia	0.126871
"Latin America"	0.126296
"Republic of Korea"	0.124674
"South American nation"	0.124459
ROK	0.122759
Cambodia	0.121997
Russia	0.120079
Philippines	0.119342
"member country"	0.118931
"South Korea"	0.117214
region	0.116638
Malaysia	0.115737
Kazakhstan	0.115404
ASEAN	0.114364
Republic	0.111438
"Papua New Guinea"	0.11132
Africa	0.111162
Laos	0.110914
Pakistan	0.110789
Peru	0.110746
Myanmar	0.109574
Mozambique	0.109375
"South Africa"	0.10717
Taiwan	0.107099
"Viet Nam"	0.107003
"United Kingdom"	0.105933
Kingdom	0.105451
Japan	0.104743
Brazil	0.104521
China	0.104436
"Balkan nation"	0.103592
Brunei	0.103591
continent	0.103547
"Sri Lanka"	0.10329
Asian	0.103041
Zimbabwe	0.102981
India	0.102617
"Scandinavian country"	0.101692
Venezuela	0.101378
Romania	0.101354
Ukraine	0.101
Nigeria	0.100447
"Central America"	0.100294
"Eastern Europe"	0.0999819
Iran	0.0997658
Singapore	0.0996026
Kenya	0.0995592
"trading partner"	0.0993866
Vietnam	0.098873
Poland	0.0988324
Moldova	0.0987214
DPRK	0.0980842
Kyrgyzstan	0.0978164
Algeria	0.0978133
PNG	0.0976617
"Commonwealth of Independent States"	0.0976527
Mexico	0.097257
"Western Europe"	0.0969524
Zambia	0.0967573
Tanzania	0.0966467
"member nation"	0.0964321
"Middle East"	0.0961937
Angola	0.0960233
Egypt	0.0958316
"South Asia"	0.0956439
Colombia	0.0955369
Europe	0.0949995
Nicaragua	0.0948526
Nepal	0.0946036
Ecuador	0.0945348
"Latin American"	0.0945309
Korea	0.0933608
Bulgaria	0.0927902
Yemen	0.0925493
"Hong Kong"	0.0924544
"Saudi Arabia"	0.0924449
"Central American nation"	0.0924432
Ethiopia	0.0918339
Turkey	0.0917165
province	0.0914725
"Gulf Cooperation Council"	0.0910083
neighbor	0.0901416
Armenia	0.0900363
"North Korea"	0.0898949
Hungary	0.0897402
Uganda	0.0897029
"United States"	0.0896646
Uzbekistan	0.0896385
"Democratic People's Republic of Korea"	0.088482
Koreas	0.0883345
mainland	0.0880988
Burma	0.0878779
Canada	0.0875165
Haiti	0.0870374
Honduras	0.0868039
Tibet	0.0865112
Argentina	0.086409
"New Zealand"	0.0863825
Afghanistan	0.0858107
Fiji	0.0857444
Chile	0.0855643
Bolivia	0.0854458
Sudan	0.0854454
Britain	0.0851397
Belarus	0.0850668
Burundi	0.0846878
Australia	0.0846571
Tajikistan	0.0840385
Cuba	0.083881
Madagascar	0.0838335
Albania	0.0834555
Namibia	0.0833327
"European Union"	0.0821869
EU	0.082176
"Unites States"	0.0818574
"Far East"	0.081135
Malawi	0.0810805
Iraq	0.0809368
Germany	0.0807029
Botswana	0.0799544
central	0.0798296
Kazakstan	0.0794646
Somalia	0.0793773
Kuwait	0.0792768
Macao	0.0789282
"South America"	0.0784573
Tunisia	0.078141
"Southern Common Market"	0.0775365
"Balkan state"	0.0769764
"Democratic Republic"	0.0769002
Ghana	0.0768527
"major power"	0.0766684
Uruguay	0.0765376
Lebanon	0.0764076
"El Salvador"	0.076337
"Sierra Leone"	0.0762769
Balkans	0.0761041
"Costa Rica"	0.0760506
sector	0.0760247
"East Timor"	0.0757441
Guangdong	0.0755863
Mercosur	0.0755816
African	0.0755652
Panama	0.0754587
Rwanda	0.0752322
Yugoslavia	0.075141
economy	0.0747963
Oman	0.0747212
"Russian Federation"	0.074642
Switzerland	0.0740987
Turkmenistan	0.0740153
Libya	0.0738873
"Rio Group"	0.0738011
Congo	0.0736399
bloc	0.0735077
Cyprus	0.0734593
Swaziland	0.0733431
UAE	0.0733301
Yunnan	0.0732818
U.S.	0.0731517
France	0.0730979
Italy	0.0726616
Lao	0.0725699
"Soviet Union"	0.0722158
Israel	0.0721517
"North America"	0.0718043
Greece	0.0715534
"Group of Seven"	0.0715374
Portugal	0.0713763
"Central Asia"	0.0713256
DRC	0.0712373
Syria	0.0712143
Guatemala	0.0711476
colony	0.0710423
"rural area"	0.0710269
Azerbaijan	0.0706738
Slovakia	0.0704493
Liberia	0.0704392
Estonia	0.0704262
Zaire	0.0702977
"Dominican Republic"	0.0701591
Niger	0.0701139
Mindanao	0.0698417
))
("Asian Winter Games" (desc 1745.03) (sims
"Wimbledon Tennis Championships"	0.228705
"World Weightlifting Championships"	0.215929
"World University Games"	0.193028
"Nagano Winter Olympics"	0.176715
"Olympic Winter Games"	0.176398
Kitzbuehel	0.162886
"European Swimming Championships"	0.153388
"World Athletics Championships"	0.145394
Lahti	0.143791
Sestriere	0.136739
"World Swimming Championships"	0.12851
Linz	0.127495
"Asian Games"	0.126825
"Nagano Olympics"	0.126484
"Goodwill Games"	0.126269
"Southeast Asian Games"	0.123187
"Winter Olympics"	0.120832
Hakuba	0.120594
Universiade	0.12002
Bormio	0.117898
"World Figure Skating Championships"	0.117677
"Atlanta Olympic Games"	0.117488
Lillehammer	0.116824
"Commonwealth Games"	0.116001
"Melbourne Park"	0.114377
"World Junior Championships"	0.11249
"European Championships"	0.111463
"Barcelona Olympics"	0.111432
Trondheim	0.109529
"Winter Olympic Games"	0.109503
"World Cycling Championships"	0.108056
"Eighth National Games"	0.106718
"London Metal Exchange"	0.103581
"East Asian Games"	0.101973
"World Conference"	0.0998311
Filderstadt	0.0990061
"Philippine Stock Exchange"	0.0988777
"Sydney Olympic Games"	0.0983999
"Indian Wells"	0.0976531
"World Team Cup"	0.0963721
Eastbourne	0.0960385
"English Football Association"	0.0951088
"Asian Championships"	0.0929495
"Barcelona Games"	0.0920591
"World Basketball Championship"	0.0911108
"Singapore dollar"	0.0904192
KPU	0.0903271
"International Badminton Federation"	0.0901345
"Pan Am Games"	0.0890207
"National Games"	0.0888422
"Swiss Open"	0.0887927
"Lake Louise"	0.0852332
Maribor	0.0844672
Nagano	0.0839254
"Summer Olympics"	0.0835001
"Sydney Opera House"	0.0832785
"U. S.dollars"	0.0827738
"Paris Open"	0.0827695
"Lipton Championships"	0.0827285
"Hang Seng China-Affiliated Corporations Index"	0.0807842
Langkawi	0.0802338
Asiad	0.0800672
"Bangkok Asian Games"	0.079983
"St Petersburg"	0.0797829
"Volleyball Championship"	0.0777643
"San Sebastian"	0.0766163
Breckenridge	0.0765164
"Turkish Daily News"	0.0764595
Duesseldorf	0.0749936
prvs	0.0742736
"World Championships"	0.0742099
"Sydney Olympics"	0.0734505
"ATP Championship"	0.0727507
"World Table Tennis Championships"	0.0726978
"Park City"	0.0726381
EuroLeague	0.0722272
"Dow Jones Newswires"	0.0720704
Innsbruck	0.0719792
Halle	0.0719041
"Plenary Session"	0.071388
"Pan American Games"	0.0713802
"Italian Open"	0.0707102
"Winter Games"	0.0704036
"Key Biscayne"	0.0689022
"SEA Games"	0.0668351
Hobart	0.0655084
Pattaya	0.0644444
"Hilton Head"	0.063951
Racak	0.0633313
"French Foreign Ministry"	0.0631005
"Sydney Games"	0.0627753
Ld-Writethru	0.0626904
"Charlotte Motor Speedway"	0.0626744
dressage	0.0621
"Centennial Olympic Games"	0.061795
"Gulf News"	0.0617906
"London Stock Exchange"	0.0612702
"Volleyball Grand Prix"	0.0608587
Burgos	0.060523
Gothenburg	0.0603788
"Texas Supreme Court"	0.0601622
AMM	0.06016
regatta	0.0599715
Engelberg	0.059508
"International Symposium"	0.058047
tourney	0.0580388
"Anatolia News Agency"	0.0578673
placer	0.0577137
Seville	0.0575472
"Stockholm Open"	0.0575339
"Atlanta Olympics"	0.0573954
"Russian Foreign Ministry"	0.0570367
ld	0.0570067
"Pan Pacific"	0.0568271
Utrecht	0.0565858
"European Champions Cup"	0.0562746
"Circuit Court"	0.0562205
Gelsenkirchen	0.0556887
plenum	0.0555879
placers	0.0555773
BRATISLAVA	0.0555265
"New Hampshire International Speedway"	0.055445
"skiing race"	0.0553871
PALERMO	0.0551337
"Atlanta Games"	0.0546269
Vail	0.0543156
Yachting	0.054264
Cavalese	0.0542548
"Football Association"	0.0541758
"Chinese Basketball League"	0.0541323
Dusseldorf	0.0540428
Basle	0.0537542
"Vietnam News"	0.0534821
"Japan Open"	0.053346
MRI	0.0529979
"Senate Armed Services Committee"	0.0529273
Madras	0.0527525
"hunger strike"	0.052623
"swimming meet"	0.0525835
"Iranian Foreign Ministry"	0.0519669
biathlon	0.0518824
"International Amateur Athletic Federation"	0.05183
Perth	0.0516516
Super-G	0.0515277
Leipzig	0.0515102
"margin call"	0.0513565
"National Tennis Center"	0.0511252
"Trade Fair"	0.0511161
Adelaide	0.0510206
"Secretary General Esmat Abdel-Meguid"	0.0507124
EPZ	0.050655
"European Championship"	0.0506217
Falun	0.0505893
"World Cup Finals"	0.0505828
"Joyce Theater"	0.0502761
"State Bank of Pakistan"	0.0501963
"Tareq Aziz"	0.050101
"International Congress"	0.0500777
"Australian Open"	0.0499753
Heerenveen	0.0499605
"Gun Ri"	0.0494953
"Monte Carlo"	0.049442
Heptathlon	0.049393
"U.S. Capitol"	0.0493673
Dodgertown	0.0492318
"Russian Defense Ministry"	0.0490494
Panmunjom	0.0490388
"Kremlin Cup"	0.0489124
"horizontal bar"	0.0489031
"Turkish Foreign Ministry"	0.048715
backstroke	0.048708
"Seoul Olympics"	0.0484534
Paralympics	0.0481911
Imola	0.0481771
Malmo	0.0481022
"World Youth Games"	0.0480863
Antwerp	0.0479844
"Atlanta Thrashers"	0.0476366
"Hong Kong Open"	0.0475517
qtr	0.0474569
"Infantry Battalion"	0.0474197
"ATP Tour World Championship"	0.047313
Tapachula	0.0472332
Olympiad	0.047175
scull	0.0470729
"Arab Parliamentary Union"	0.0469525
"ski jumping"	0.0469314
"farmer's market"	0.0468305
"Fortune Global Forum"	0.0468014
Dodoma	0.0466712
"Ministerial Meeting"	0.0465889
"International Conference"	0.0465834
"Sierra Nevada"	0.0460987
"Buick Invitational"	0.0459304
"World AIDS Day"	0.0455162
"Songhua River"	0.0453772
"Daytona International Speedway"	0.045178
"Brooklyn Academy of Music"	0.0451271
"World Congress"	0.0450858
"Islamic Revolutionary Guards Corps"	0.0450854
))
(Asian-American (desc 5261.55) (sims
"Asian American"	0.321035
"African American"	0.292624
"Hispanic American"	0.214553
Chinese-American	0.201801
Anglo	0.199669
Anglos	0.196044
Asian-Americans	0.191732
"Asian Americans"	0.19138
nonwhite	0.188173
"American Indian"	0.167134
"Orthodox Jewish"	0.165051
"native American"	0.158222
Hispanic	0.156851
Mexican-American	0.142286
Arab-American	0.13916
Italian-American	0.136252
"American Jewish"	0.134165
Cuban-American	0.129521
Latino	0.127456
"Irish Catholic"	0.124803
Caucasian	0.124419
Japanese-American	0.124375
"Puerto Rican"	0.121201
"Israeli Arab"	0.119265
Sephardic	0.114151
Asian	0.112684
African-American	0.111363
"Kosovar Albanian"	0.104161
minority	0.0995833
Korean-American	0.0992916
Irish-American	0.0992409
non-whites	0.097717
Amish	0.0969998
Younger	0.0963489
Irish	0.0946496
non-Hispanic	0.0922416
Latina	0.0920198
"people of color"	0.0909072
"Roman Catholic"	0.0904225
"African Americans"	0.0898843
"Eastern European"	0.0886158
Hausa	0.0886048
over-@@	0.0885324
Mexican-Americans	0.0877188
Catholic	0.0875318
Gay	0.0872369
Hmong	0.0863929
Korean	0.0862664
slain	0.0861856
Hasidic	0.08586
Italian-Americans	0.0844746
sought-after	0.0835399
low-income	0.082575
non-Jewish	0.0825658
Tibetan	0.0813257
Jewish	0.080396
"roughly @@@,@@@"	0.0795507
"working class"	0.0792162
"more than @@@@"	0.0788105
"Kosovo Albanian"	0.0786859
Inuit	0.0784672
Ijaw	0.0778807
Sikh	0.0774365
Gypsy	0.0773334
Eskimo	0.0773081
Kurdish	0.0772617
christian	0.0766822
"Latin American"	0.0765646
"middle class"	0.0765229
Sunni	0.0764716
Okinawan	0.0756219
Latin	0.0751304
first-time	0.0744564
Armenian	0.0743058
"nearly @@@,@@@"	0.0736587
"mentally retarded"	0.0736441
"French Canadian"	0.0727477
"over @,@@@"	0.0716196
Downstate	0.071312
Maasai	0.071069
Aggie	0.0708819
Aborigine	0.0706371
"black woman"	0.0705752
HIV-positive	0.0705739
preteen	0.0703085
nerdy	0.0698841
Abortion-rights	0.0696232
"nearly @@,@@@"	0.0694158
Maori	0.0693271
"about two"	0.0690901
"Middle Eastern"	0.0690731
Kosovar	0.0687679
"Four million"	0.0682351
Navajo	0.0680198
Libertarian	0.0669982
down-and-out	0.0668963
"black person"	0.065904
non-Catholic	0.0652499
"Western European"	0.065149
"North African"	0.0648838
"West Indian"	0.0648309
forgotten	0.0645907
pinup	0.0645103
"about three"	0.0644339
Danish	0.0643839
"more than @@ million"	0.0641652
"about @@@"	0.0639381
"nearly @@@"	0.0632816
"turning away"	0.063107
undergraduate	0.0629617
"more than @,@@@"	0.0627248
Swedish	0.062696
hippie	0.0626788
fastest-growing	0.0626704
Driven	0.0625355
"Sunni Muslim"	0.0624226
"nearly @ million"	0.0620906
"half a dozen"	0.061876
"more than @@@,@@@"	0.0616277
"other @@@"	0.061375
"union worker"	0.0612833
small-business	0.0611452
abolitionist	0.0608757
Ukranian	0.0606611
"over @@@,@@@"	0.0606431
"Greek Cypriot"	0.0601773
"almost @@,@@@"	0.0598682
"About @,@@@"	0.0598079
absentee	0.059796
"nearly @,@@@"	0.059433
"about @ million"	0.0594216
Arab	0.0594175
dropout	0.0593407
NGO	0.059312
Hungarian	0.0591829
"Turkish Cypriot"	0.0591341
Druse	0.0590822
eighth-grade	0.0589662
"more than four million"	0.0588931
"union member"	0.0587092
"up to @,@@@"	0.0585706
"Around @@@"	0.0585647
"over @@,@@@"	0.058254
learner	0.0582262
monarchist	0.0580987
Mayan	0.0580906
"Islamic Jihad"	0.0580733
"about @@ million"	0.0580162
"Other @@"	0.0578491
Greek	0.0578423
"over @@@"	0.0577797
"Black Panther"	0.0576751
third-grade	0.0575735
non-Muslim	0.0574985
"More than three million"	0.0574378
"right to life"	0.0572406
pro-British	0.0565947
"over @@"	0.0565271
"black and white"	0.0564059
expatriate	0.0563862
"almost @@ million"	0.0563594
academician	0.0563356
"more than @@@ million"	0.0562516
"South Korean"	0.0562022
"South African"	0.0561814
"more than @.@@ million"	0.0560194
"more than @ million"	0.0560018
"over @.@ million"	0.0559881
Latvian	0.0559639
"white woman"	0.0558517
"One Million"	0.0558029
Croat	0.0557731
non-Indian	0.0557197
"about @.@ million"	0.0556564
Haitian	0.0556511
oddball	0.0553524
pro-business	0.055267
"almost @@@,@@@"	0.0552412
"university student"	0.0551055
"Shiite Muslim"	0.0550684
savvy	0.0548918
"nearly @@ million"	0.0548752
ultra-Orthodox	0.0548022
breadwinner	0.0547117
"middle age"	0.0546697
vegetarian	0.0546512
"Southern Baptist"	0.0545901
Astro	0.0541067
"more than @@,@@@"	0.054033
"six million"	0.0540208
"Three hundred"	0.0539718
highschool	0.0538228
"Peking Opera"	0.0537774
"Nearly @.@ million"	0.0536962
postgraduate	0.0536938
"two dozen"	0.0534361
"more than one million"	0.053388
"Bosnian Muslim"	0.0533573
"other five"	0.0530462
geeky	0.0530233
))
(Asian-Americans (desc 5969.87) (sims
"Asian Americans"	0.326245
Anglos	0.233172
Asian-American	0.191732
Hispanic	0.181108
"African Americans"	0.168603
Latino	0.162556
Mexican-Americans	0.161916
African-American	0.153393
"people of color"	0.14675
Italian-Americans	0.142287
"Hispanic American"	0.134691
Caucasian	0.131345
Asian	0.125872
"native American"	0.124246
"American Indian"	0.123211
"African American"	0.113309
non-whites	0.112872
Hawaiians	0.103635
Anglo	0.103566
nonwhites	0.103112
Chinese-Americans	0.101112
Haitian	0.0999717
"Puerto Rican"	0.0969523
Koreans	0.0941369
Mexican	0.0924682
Cuban-Americans	0.0901213
Chinese-Indonesians	0.0897656
"New Jerseyans"	0.0894976
"union member"	0.0894487
Gay	0.0890355
Frenchmen	0.0883333
"Israeli Arabs"	0.087408
Beijingers	0.0873374
"Asian American"	0.0858026
"Orthodox Jews"	0.0851925
African	0.0844974
Filipino	0.0827321
Ukrainians	0.0811194
"American Jews"	0.0805298
Quebecers	0.0802905
Aborigine	0.0796213
Arab-Americans	0.0789969
non-Jew	0.0781266
Panamanian	0.0780864
Jew	0.0779681
minority	0.0779591
"black woman"	0.0773447
Vietnamese	0.0771682
Klansmen	0.0770905
Copt	0.0767466
Uighurs	0.0766373
immigrant	0.0763419
"union worker"	0.0750833
Jamaican	0.0743602
Colombian	0.0740592
major-leaguers	0.0734071
Dominican	0.072995
"Medicare HMOs"	0.0725108
Navajos	0.0716463
"Sephardic Jews"	0.0710497
congregants	0.0708582
Irishmen	0.0707614
westerner	0.0706851
Tibetans	0.0704903
Catholic	0.070231
Greeks	0.0699866
"South Koreans"	0.0696494
Algerian	0.0694397
Londoner	0.069293
transnationals	0.0692155
Honduran	0.0689047
Iowan	0.0688349
Briton	0.0686253
"South Carolinian"	0.0685569
Californian	0.0682551
"foster child"	0.0679789
Lithuanians	0.0678891
"New Zealander"	0.0677439
Gypsy	0.067628
Atlantans	0.0675957
"Sri Lankans"	0.067311
"elected official"	0.066702
Hungarian	0.0662253
Ecuadoreans	0.0656596
Nepalese	0.0654138
Bosnians	0.0653254
"New York Republicans"	0.0651233
ex-convicts	0.0648091
"North Carolinian"	0.0646768
farmworkers	0.0646745
Sikh	0.0641527
"Baby Bells"	0.0640862
guardsmen	0.0638701
"Latin American"	0.0638594
skydiver	0.0638582
"church member"	0.0637369
Muscovite	0.06373
lesbian	0.0636505
Buddhist	0.0633514
"Texas Democrats"	0.0632995
Southerner	0.0630838
enlistee	0.0630172
applicant	0.0629158
"white woman"	0.0628803
QBs	0.0626638
urbanites	0.0624635
affluent	0.0624153
non-Muslims	0.0623229
foreigner	0.0621733
homosexual	0.0621565
"Southern Democrats"	0.0621343
Texan	0.0620957
Malaysian	0.062
Cuban	0.0617999
environmentalist	0.0616115
eighth-graders	0.0615764
examinees	0.0611741
"faculty member"	0.061044
Georgian	0.0609397
Eskimo	0.0608418
settler	0.0608103
ECNs	0.0606145
"senior citizen"	0.0603371
feminist	0.060254
Moroccan	0.0601955
Laotian	0.0601851
Easterner	0.06015
"New York Democrats"	0.0600443
"British people"	0.0600234
firsts	0.059901
Brazilian	0.0597067
Salvadoran	0.0596444
"mountain gorilla"	0.0596391
Pakistani	0.0595671
crewmembers	0.0594889
dissenter	0.0594542
"Southern Baptists"	0.0594117
neo-Nazis	0.0590838
"major-league team"	0.0588388
mainlanders	0.0587642
All-Americans	0.0585098
low-income	0.0584904
gamers	0.0583168
Taiwanese	0.0580905
"married woman"	0.0580503
Chinese-American	0.0580404
Singaporean	0.057958
congressmen	0.0578616
Egyptian	0.0577098
Slav	0.0575814
student-athletes	0.0575722
Peruvian	0.0574241
"drug user"	0.0574019
Swiss	0.0573035
Englishmen	0.0572474
vote-getters	0.0571128
"Final Fours"	0.057036
Armenians	0.0569226
"temporary worker"	0.0568122
"North Koreans"	0.0567519
Indonesian	0.0566294
"medical specialist"	0.056561
migrant	0.0563498
"financial organization"	0.0561434
Mormon	0.0561289
Iranian	0.0560701
part-timer	0.0560589
hotspots	0.0559877
great-grandchildren	0.0558317
shredders	0.0557891
"San Franciscans"	0.055768
Kuwaiti	0.0557259
Mozambican	0.055591
Floridian	0.0555595
"political detainee"	0.0555146
"Kosovo Serbs"	0.0553936
Arab	0.0553922
Baptists	0.0552452
Basques	0.0551988
"European nation"	0.0551414
Bulgarian	0.0550059
"social scientist"	0.0549155
"job seeker"	0.0548918
expatriate	0.0545944
panelist	0.0545003
Zionist	0.0543462
Northerner	0.0542848
Japanese-Americans	0.0542616
"labor union"	0.0542165
Tanzanian	0.0541881
Missourian	0.0539474
"university student"	0.0539323
passers-by	0.0536982
Jordanian	0.0536392
Gentile	0.0535871
Vermonter	0.0535756
"ethnic group"	0.0534646
Protestant	0.0534127
motorcyclists	0.0533458
"interest group"	0.0533169
))
(asides (desc 6675.73) (sims
one-liner	0.112701
anecdote	0.10287
gibe	0.091793
self-deprecation	0.0883903
in-jokes	0.0857959
wisecrack	0.0813752
digression	0.0798135
observation	0.071136
quip	0.0706217
humor	0.0704369
tidbit	0.0702331
rumination	0.0677883
"sense of humor"	0.0665247
zingers	0.0652501
musings	0.0649276
"sight gag"	0.0645501
wit	0.0637943
tangent	0.0636076
commentary	0.0617508
satire	0.0600066
banter	0.0599814
essay	0.0599617
chuckle	0.0589737
retort	0.05887
witticism	0.0584551
postscript	0.0581653
caveat	0.0575344
cameo	0.0561464
hypotheses	0.0559493
factoids	0.0555486
jab	0.0552253
allusion	0.054833
insight	0.0544758
repartee	0.0543311
critique	0.0540334
patter	0.0539199
vignette	0.0536495
prose	0.0531724
skewering	0.0531025
smirk	0.0518942
subplot	0.0517136
footnote	0.0512141
detour	0.0504215
grin	0.0496373
ribbing	0.0493225
swipe	0.0492263
reminiscence	0.0492148
"punch line"	0.0491947
obscenity	0.0491608
irony	0.0490821
verbiage	0.0490569
poem	0.0487405
lyric	0.048606
schtick	0.0485949
put-down	0.047883
"tone of voice"	0.0477241
reworking	0.0474133
generalization	0.0473703
conceit	0.0470735
wink	0.0470624
epigram	0.0467607
snippet	0.0465262
"joie de vivre"	0.0465164
profanity	0.0465055
riff	0.0461302
monologue	0.0460607
skit	0.0460473
wrinkle	0.0460158
pathos	0.0456086
gag	0.0454686
expletive	0.0453538
rant	0.0453047
barb	0.0452903
homage	0.0449111
concertgoers	0.0448203
wordplay	0.0447821
innuendo	0.044361
jibe	0.0442158
spoof	0.0440654
RIPOSTE	0.0438881
zinger	0.0434069
shtick	0.0431359
double-entendres	0.0430604
understatement	0.0425322
pratfalls	0.0417197
juxtaposition	0.0417095
soul-searching	0.0416607
self-criticism	0.0415935
missive	0.0415497
gossip	0.0414862
enticement	0.0411401
sendup	0.0409904
farce	0.0408446
aphorism	0.0408115
curiosity	0.0406226
interlude	0.0404006
symbolism	0.0403477
inaccuracy	0.0402958
Truism	0.0402256
urbanity	0.0402255
pun	0.0401799
"exclamation point"	0.0401725
))
("Asif Ali Zardari" (desc 1846.43) (sims
"Al Joyner"	0.196087
"C.J Hunter"	0.165664
"Rajiv Gandhi"	0.114357
"Yuri Maslyukov"	0.109813
"Bobby Brown"	0.0961163
"James McDougal"	0.0927072
"Prince Albert"	0.0925093
Phillip	0.0895117
"Mikulas Dzurinda"	0.0836831
"Dinko Sakic"	0.082627
Ronald	0.0820938
"Dan Meridor"	0.0790521
"Hanan Ashrawi"	0.0788252
"Marzuki Darusman"	0.0787626
"Nabil Shaath"	0.0753122
"Ronald Perelman"	0.0730262
Zhenyu	0.0728964
"Supachai Panitchpakdi"	0.0722273
"Albert Pirro"	0.0716425
Andrei	0.0711406
Steven	0.0701705
Hugh	0.0692338
"Ivan Kostov"	0.0690101
Ralph	0.0689888
Yazdi	0.0689825
"Tony Coelho"	0.0687742
Carl	0.0684386
"Qian Qichen"	0.0683889
Shayler	0.0681091
Kazhegeldin	0.0680436
"Yegor Stroyev"	0.0680017
Hasan	0.0679678
"Bernard Shaw"	0.0678456
Mukora	0.0676847
"Yossi Sarid"	0.0664841
"Xie Zhenhua"	0.0664827
Shaath	0.065999
"Jack Valenti"	0.0656491
"Zeng Qinghong"	0.0653308
Alan	0.065248
Barrionuevo	0.0652135
"Dai Bingguo"	0.0651839
"Lamberto Dini"	0.0648755
Montiel	0.0639267
"Henry H. Shelton"	0.0636835
Blackthorne	0.063394
Rahman	0.0629587
"Ariel Sharon"	0.0628351
Kalejs	0.0624113
"Tom Hayden"	0.0623724
"Jim Nicholson"	0.0620536
"Charles Dolan"	0.0610388
"Wang Zhongyu"	0.0609831
"Vojislav Seselj"	0.0608859
"Faisal Husseini"	0.0607595
"Archbishop Desmond Tutu"	0.0605839
"Cheng Siwei"	0.0604471
Rosario	0.0603198
"Valery Pustovoitenko"	0.0599585
"Oskar Lafontaine"	0.0595783
"Martin Lee"	0.059497
Pirro	0.0590615
"Julian Bond"	0.0586777
Sidney	0.0586079
"Benazir Bhutto"	0.0585472
"Vaclav Klaus"	0.05815
"Defense William Cohen"	0.0580325
"Chea Sim"	0.0579364
"John Malone"	0.0573862
"account statement"	0.0573099
"Ricardo Alarcon"	0.0572914
Sergei	0.0569267
Lundy	0.0568398
"Patsy Ramsey"	0.0567472
"Milos Zeman"	0.0566981
R-Alaska	0.0565089
"Ding Guangen"	0.0554842
"Tim McGraw"	0.055479
"Dick Pound"	0.0553584
"Long Yongtu"	0.0553536
"Laurent Fabius"	0.055308
"Wlodzimierz Cimoszewicz"	0.0552394
"Massimo D'Alema"	0.0551468
"Wu Yi"	0.0551335
Rea	0.0550627
"Hugh Shelton"	0.0547121
Shelby	0.0545888
Juan	0.0544477
"Abu Mazen"	0.0541667
Schuessel	0.0541623
"Anwar Ibrahim"	0.0538794
"Indira Gandhi"	0.0538789
"Frank Joklik"	0.0536912
"Boris Nemtsov"	0.0536854
Sarid	0.0533131
"Rolf Ekeus"	0.0533114
Buthelezi	0.0532583
"Sumner Redstone"	0.0530076
Boyd	0.0529328
Fabius	0.0528168
"John Koskinen"	0.0526864
"Rick Rockwell"	0.0526726
Ganga	0.0525686
"Fatos Nano"	0.0524133
Eduardo	0.0523018
Abdul	0.0522156
"John Shalikashvili"	0.0521765
Walter	0.0520914
Hoi-chang	0.0520274
Min	0.0517203
Lazarenko	0.0516103
"David Trimble"	0.0515483
"Wu Jieping"	0.0515265
Musa	0.0515111
Erbakan	0.0513539
R-Wis.	0.0513453
"Igor Ivanov"	0.0513211
"John Prescott"	0.0512495
el-Ganzouri	0.0512394
Nebiolo	0.0510559
"Michael Moore"	0.0510238
"Koo Chen-fu"	0.0509849
"Vuk Draskovic"	0.0509247
"Jack Welch"	0.050888
Gerald	0.0508557
McGraw	0.0508545
al-Tikriti	0.0505681
R-N.H.	0.0504371
"Alija Izetbegovic"	0.0504175
"John Bruton"	0.0503068
Barbour	0.0502974
"Sergei Stepashin"	0.0501328
"Yossi Beilin"	0.0500234
Bhattarai	0.0500145
Brownback	0.0499753
"Yoshiro Mori"	0.0498847
"Abu Nidal"	0.049836
"Minister Shlomo Ben-Ami"	0.0498249
Ekeus	0.0497846
Arthur	0.0496495
Ben-Ami	0.0493606
Kavan	0.0491765
Zarb	0.0491661
R-Del.	0.0491201
Bernhard	0.0490704
"Klaus Naumann"	0.0489008
"Shi Guangsheng"	0.0488688
Kyl	0.048636
Gravano	0.0485886
Naumann	0.0483684
"Bertie Ahern"	0.0483509
Jamie	0.0480179
Mendez	0.047906
Mladic	0.0478264
Kumar	0.047789
"Roy Romer"	0.0477675
"Wei Jianxing"	0.0477528
"Mahmoud Abbas"	0.047554
"Bashkim Fino"	0.0475534
"Arthur Levitt"	0.0473791
draftsman	0.0473646
"Henry Shelton"	0.0469449
"Robert E. Rubin"	0.0468127
"Tom Johnson"	0.0468111
Dodik	0.0467647
Keith	0.0466698
"Alexis Herman"	0.0465179
"Mesut Yilmaz"	0.0463758
Anthony	0.0462874
Akayesu	0.0462705
"Gene Sperling"	0.046262
"foster mother"	0.0460846
Kagame	0.0460239
Seleznyov	0.045804
Tracey	0.045789
Marty	0.0456955
R-Kan.	0.0456501
ex-husband	0.045527
"Kiichi Miyazawa"	0.0454106
R-Ind.	0.0453725
Neulander	0.045146
Haq	0.0451343
Khalil	0.045062
PFC	0.0450569
bridegroom	0.0449599
"Tang Jiaxuan"	0.0449545
Kiareldeen	0.044832
"George Robertson"	0.044762
Villanueva	0.0447483
Chubais	0.0447052
Bhutto	0.0446673
"Gennady Seleznyov"	0.0446138
"Lee Kuan Yew"	0.0445179
Alarcon	0.0444371
Dominic	0.0443117
Gus	0.0442918
Samuel	0.0442847
Denny	0.0442802
"William Daley"	0.044188
"Gerry Adams"	0.0441802
))
(ask (desc 1133.43) (sims
eighth-grade	0.0931362
sixth-grade	0.0667801
Simone	0.0609907
"electoral college"	0.0558097
"general knowledge"	0.0547982
"college level"	0.0541646
"Dateline NBC"	0.0532853
playlist	0.0478643
"grammar school"	0.0471755
second-grade	0.0469393
"sixth grade"	0.0442504
Butterfield	0.0440687
"expression of regret"	0.0436079
"instruction manual"	0.0435263
"Connie Chung"	0.0428637
"woolly mammoth"	0.0411642
dang	0.0404523
phi	0.0403305
"mailing address"	0.0401243
))
("Ask Jeeves" (desc 1462.44) (sims
Google	0.190249
GoTo.com	0.165324
ExciteAtHome	0.163471
Infoseek	0.159667
AltaVista	0.15501
"Alta Vista"	0.151352
DoubleClick	0.13874
Healtheon/WebMD	0.138111
Emulex	0.133738
E-LOAN	0.129392
Lycos	0.128925
Broadcom	0.127158
CMGI	0.125464
Priceline.com	0.125333
WebMD	0.123212
"Lycos Inc."	0.122049
"U.S. Trust"	0.121655
TYCO	0.119579
IDT	0.119472
GeoCities	0.117398
Honeywell	0.117005
Inktomi	0.115424
CNET	0.115162
Albertson's	0.114914
NetZero	0.112401
Nortel	0.112315
Priceline	0.110971
Napster	0.110945
EarthLink	0.110619
MP@.com	0.110506
Healtheon	0.110322
Webvan	0.109824
COLTEC	0.10849
Akamai	0.107947
DirecTV	0.10768
Federated	0.107555
Yahoo	0.10722
AlliedSignal	0.106755
emachines	0.10591
TRW	0.10417
McKesson	0.104153
ENTREMED	0.104041
Transmeta	0.103505
"Yahoo Inc."	0.102926
Genentech	0.102316
GPU	0.102272
RJR	0.101813
AMR	0.101449
RAMBUS	0.101238
Travelocity	0.10104
Starwood	0.100483
"Red Hat"	0.100363
Equifax	0.10029
NiSource	0.100209
Aetna	0.0999906
"International Business Machines Corp."	0.099932
AHP	0.0998549
"Network Associates"	0.0995451
Sunbeam	0.0987647
"Real Networks"	0.0985595
Alcoa	0.0985521
Halliburton	0.098461
Symantec	0.0984301
Checkfree	0.0974441
Incyte	0.097304
Unisys	0.0971178
ALZA	0.0965401
CompuServe	0.0965032
"Johnson &AMP; Johnson"	0.0961179
"Global Crossing"	0.096082
"Computer Associates"	0.0960342
VENATOR	0.0955795
WebTV	0.0947494
Agilent	0.0947292
All-Tech	0.0947213
"Media Metrix"	0.0947201
AutoNation	0.0942745
Qualcomm	0.0939164
"Liberty Media"	0.0933198
Hasbro	0.0930341
Hotmail	0.0925585
ICQ	0.0924635
China.com	0.0923751
"Rite Aid"	0.0923197
Toysmart	0.0922023
Autodesk	0.0918703
Cisco	0.0918365
"Pacific Century"	0.0914391
"Nielsen Media Research"	0.0910329
Zeneca	0.0908547
"Softbank Corp."	0.0908313
"Hearst Corporation"	0.0905404
"CMGI Inc."	0.090413
Compaq	0.0901861
iVillage	0.0899354
Qwest	0.0897002
Vitesse	0.0895382
Odwalla	0.089234
theglobe.com	0.0890453
Georgia-Pacific	0.0888225
Xoom.com	0.0887631
Allstate	0.0886726
Peapod	0.0886494
"P&AMP;G"	0.0884888
EMC	0.0884836
Amgen	0.0881073
Comcast	0.0875768
"Northern Telecom"	0.0875516
Dupont	0.0875152
Cargill	0.0872656
Providian	0.0871228
"JDS Uniphase"	0.0870578
Westinghouse	0.0870238
"Allied Signal"	0.0869548
"Learning Co."	0.0868946
Salon.com	0.0858739
"Network Solutions"	0.0857855
RealNetworks	0.0855719
Seagate	0.0853811
PLDT	0.0849595
Novartis	0.0846847
eToys	0.0846085
"Exxon Corp."	0.0841233
MarketWatch.com	0.0838759
"PC Data"	0.0838525
Cendant	0.0837532
ATHOME	0.0837127
PEOPLESOFT	0.0835249
Uunet	0.083432
MCI	0.0832572
Aegon	0.0832486
Alcatel	0.083224
Expedia	0.0832228
"Media Partners"	0.0831305
"Silicon Graphics"	0.0823813
Corel	0.0822454
"Microsoft Network"	0.0820359
Tandy	0.0820232
Warner-Lambert	0.0818994
Datek	0.0818263
"American Home"	0.0816487
TCI	0.0814599
Unilever	0.0812308
Mattel	0.081224
MindSpring	0.0810232
AIG	0.0809342
ARCO	0.0808209
Raytheon	0.0807715
"Philip Morris Cos."	0.0806613
Pairgain	0.0805658
Gillette	0.0804154
Vivendi	0.0803138
XYLAN	0.0802782
"Smith &AMP; Wesson"	0.0802031
"American Family Publishers"	0.0799908
Biogen	0.0798326
Cabletron	0.0793169
"America Online Inc."	0.0791786
"Fannie Mae"	0.0791177
Weyerhaeuser	0.0790669
SGI	0.0789926
UAL	0.0789745
Pfizer	0.0787755
Intuit	0.0787502
"Abbott Laboratories"	0.0786305
"Dell Computer Corp."	0.0785867
Viacom	0.0782194
HP	0.078106
"General Electric"	0.0780646
Genzyme	0.077981
SBC	0.0776261
Roche	0.077434
"Aetna Inc."	0.0773756
SunTrust	0.0770744
CCE	0.0769652
Corning	0.0769353
NTT	0.0768045
TiVo	0.0767273
"Con Edison"	0.0767247
"Pac Bell"	0.0765721
MACROMEDIA	0.0765305
GTE	0.076344
"Berkshire Hathaway"	0.0760882
MPAA	0.0760494
ENTERGY	0.0759802
Broadcast.com	0.0759242
"Northeast Utilities"	0.0758942
Conoco	0.0757655
Citigroup	0.0757437
Juno	0.0756763
"American Home Products"	0.0756586
Bestfoods	0.0756363
Amway	0.0754485
"Delphi Automotive Systems"	0.0752768
Ltd	0.0746348
Siemens	0.0744881
MetLife	0.0743325
UAM	0.0741013
adobe	0.073957
REVLON	0.0738753
))
("asking price" (desc 7818.41) (sims
"price tag"	0.182221
"purchase price"	0.166469
"record price"	0.16318
"operating budget"	0.154816
"annual payment"	0.146982
"list price"	0.144984
payout	0.130354
"sticker price"	0.129103
"selling price"	0.124477
"gross income"	0.122185
savings	0.118514
"tender offer"	0.112225
"average cost"	0.108304
purse	0.107099
"net income"	0.105383
rent	0.104948
"retail price"	0.104422
"pretax charge"	0.102948
PRICETAG	0.102392
"production cost"	0.101403
"down payment"	0.100792
salary	0.100093
"entrance fee"	0.0996225
"market value"	0.0983652
median	0.097845
jackpot	0.0977822
minimum	0.0926969
fee	0.0898934
"electric bill"	0.0881223
"face value"	0.088045
maximum	0.086242
"war chest"	0.0858678
payroll	0.0848915
"book value"	0.084405
"nest egg"	0.0828476
payday	0.0821791
bonus	0.0819499
outlay	0.0808059
"bid price"	0.0801527
"offering price"	0.078276
"operating cost"	0.0780631
"pretax loss"	0.0758176
sum	0.0747595
"cash payment"	0.0725978
Tuition	0.0724198
"net profit"	0.0711066
endowment	0.0709168
"tax bill"	0.0701533
"pretax profit"	0.069889
paycheck	0.0697989
valuation	0.069745
"admission fee"	0.0691816
"personal loan"	0.0684916
stipend	0.0683405
tab	0.0682566
premium	0.0674813
allotment	0.0673754
"marketing cost"	0.0665197
caseloads	0.0657898
"poverty rate"	0.0657017
"operating expenses"	0.0655676
write-down	0.0654684
"dollar amount"	0.0651386
appropriation	0.0650878
"bank rate"	0.064847
bounty	0.0638177
compensation	0.063213
bequest	0.0628689
"water table"	0.0627618
refund	0.0620816
Ransom	0.0617292
bail	0.0608408
infusion	0.0602435
threshold	0.0590977
surcharge	0.0590372
"cost of living"	0.0586627
"tax rate"	0.0580938
increment	0.0579377
"noise level"	0.0577749
"occupancy rate"	0.0577641
pension	0.0577054
rebate	0.0575658
"credit line"	0.0574186
"equity investment"	0.0573627
"labor cost"	0.0573148
deductibles	0.0572248
"service charge"	0.0570325
capitalization	0.0568733
mortgage	0.0567408
windfall	0.0567295
co-payment	0.0565993
wage	0.0564936
"admission price"	0.0562312
facelift	0.0561834
"golden parachute"	0.0560962
"ad blitz"	0.0559725
buyout	0.0559387
"insurance premium"	0.0555399
allowance	0.0553021
"borrowing cost"	0.0551698
"interest payment"	0.0549856
"tax bracket"	0.0545313
"voting age"	0.0543284
"gas price"	0.054169
expenditure	0.0539667
restitution	0.0530715
"salary cap"	0.0530626
"compensation package"	0.0529659
"upper limit"	0.0525427
payoff	0.0524865
"turnover rate"	0.0517881
installment	0.051106
overdraft	0.0510958
"standard of living"	0.0505918
"minimum wage"	0.050534
"futures price"	0.05041
"licensing fee"	0.0499558
"takeover offer"	0.0497194
"fertility rate"	0.0495664
receipt	0.0495275
threshhold	0.0490688
alimony	0.0485442
"Social Security benefit"	0.0483525
"mortality rate"	0.0483502
"bond rating"	0.0483154
"face lift"	0.0482606
"phone bill"	0.048172
"prize money"	0.0481675
"discount rate"	0.0478692
deduction	0.0478363
"bus fare"	0.0477453
"retirement benefit"	0.0474793
counteroffer	0.0474627
viewership	0.0473408
"property tax"	0.0472412
markup	0.0468056
write-off	0.0467849
"line of credit"	0.0467284
"key rate"	0.0466262
"bond issue"	0.0465969
"budget deficit"	0.0465098
ante	0.0460087
"asset value"	0.0459742
rental	0.0458967
"seating capacity"	0.0454169
claimer	0.0452659
"telephone bill"	0.0450417
"import duty"	0.0450349
"personal income"	0.0449138
caseload	0.0449111
"management fee"	0.0448765
"retirement age"	0.044672
"crime rate"	0.0446393
"about $@@.@@"	0.0445364
headcount	0.044236
"legal fee"	0.0439524
"ATP Championship"	0.043939
shortfall	0.0437776
Fares	0.0437508
"medical bill"	0.0435705
"cost structure"	0.0435333
"life expectancy"	0.0434655
"wage scale"	0.043418
Tonnage	0.0433957
"wage increase"	0.0433424
allocation	0.0432659
"tax liability"	0.0432069
reimbursement	0.0431938
"pay rate"	0.0431406
billing	0.0430778
"American plan"	0.0430196
"death rate"	0.0429355
"rate of inflation"	0.0428943
"profit margin"	0.0428401
"gasoline tax"	0.0427064
exemption	0.0426328
"closing price"	0.0426165
"offer price"	0.0425834
liability	0.0424333
"body temperature"	0.042323
"pay cut"	0.042103
inheritance	0.0420747
co-payments	0.0419756
C-section	0.0419683
mil	0.0415562
"tax deduction"	0.0413826
"building permit"	0.0411672
"user fee"	0.0411282
"take-home pay"	0.0411201
Lien	0.0410583
accumulation	0.0409013
"medicare payment"	0.0408077
"rate of growth"	0.040801
"financial obligation"	0.0407572
"waiting list"	0.0404777
"death benefit"	0.040455
"birth rate"	0.0404102
"takeover bid"	0.0402468
"legal age"	0.0400121
))
(asks (desc 1041.96) (sims
"Weather Information"	0.113913
Arrives	0.0594766
"Beijing Declaration"	0.05166
"bond rating"	0.0505707
"Share Prices Continue"	0.0459121
Botswanan	0.04324
"Indonesian Armed Forces"	0.042776
non-European	0.0426415
confronting	0.0417916
"About one million"	0.0412361
"expression of regret"	0.0404232
))
("Aslan Maskhadov" (desc 2166.28) (sims
"Xanana Gusmao"	0.270429
"Kim Dae Jung"	0.194015
"Shaul Mofaz"	0.191179
"Shamil Basayev"	0.186015
"Erskine Bowles"	0.182615
"Pervez Musharraf"	0.168108
"Hashim Thaci"	0.167371
"John Podesta"	0.165886
"Abdurrahman Wahid"	0.165643
"Alexander Lukashenko"	0.160688
"Mohammad Khatami"	0.158356
"Kim Il Sung"	0.152518
"Mikhail Gorbachev"	0.150778
"Alija Izetbegovic"	0.150682
"Gerry Adams"	0.148566
"Gennady Zyuganov"	0.147941
"Howard Baker"	0.145446
"Alexander Shokhin"	0.145417
"Ibrahim Rugova"	0.144742
"Ansumane Mane"	0.143622
"Franjo Tudjman"	0.143087
"Robert Guei"	0.142149
"John Sweeney"	0.142002
"Sonia Gandhi"	0.141322
"Yossi Sarid"	0.140339
"Anatoly Chubais"	0.13872
"Lech Walesa"	0.138592
"Chavalit Yongchaiyudh"	0.137327
"Vojislav Kostunica"	0.137028
"Sepp Blatter"	0.136296
"Mikulas Dzurinda"	0.133465
"Wim Duisenberg"	0.133437
"Vaclav Havel"	0.133131
"Martin McGuinness"	0.132392
"Ricardo Alarcon"	0.131687
"William Hague"	0.13113
Maskhadov	0.130881
"Jacques Chirac"	0.129075
"Bashkim Fino"	0.12907
"Jacques Santer"	0.128648
"Hugo Chavez"	0.128533
"Martti Ahtisaari"	0.12741
"Zoran Djindjic"	0.126971
"Radovan Karadzic"	0.126824
"Ariel Sharon"	0.125281
"Nikola Poplasen"	0.12336
"Kim Yong Nam"	0.123318
"James P. Hoffa"	0.12324
"Joseph Bruno"	0.123225
"Biljana Plavsic"	0.120847
"Juan Antonio Samaranch"	0.120726
"Moammar Gadhafi"	0.120726
"Ratko Mladic"	0.119752
"Robert Mugabe"	0.119224
"Danny Yatom"	0.118753
"Vojislav Seselj"	0.118095
"Ketumile Masire"	0.117912
"Boris Nemtsov"	0.117675
"Aryeh Deri"	0.117636
"Fernando Henrique Cardoso"	0.117247
"Laurent Kabila"	0.116526
"Jean-Marie Le Pen"	0.115974
"Victor Chernomyrdin"	0.115723
"Tom Welch"	0.114494
"Foday Sankoh"	0.114477
"Dave Checketts"	0.114296
"Wolfgang Schaeuble"	0.11306
"Vuk Draskovic"	0.112847
"Jamil Mahuad"	0.112161
"Helen Clark"	0.112127
"Richard Gephardt"	0.111949
Wiranto	0.110949
"Gulbuddin Hekmatyar"	0.110908
"Hosni Mubarak"	0.110898
Dae-jung	0.110557
"Thabo Mbeki"	0.110483
"Charles Taylor"	0.109489
"Nur Misuari"	0.109418
Yandarbiyev	0.1093
"Harold Ickes"	0.109091
"Victor Malu"	0.108888
"Olusegun Obasanjo"	0.108512
"Abdulsalam Abubakar"	0.1083
"Jonas Savimbi"	0.107857
"Sali Berisha"	0.107168
"John Prescott"	0.107146
"Hafez Assad"	0.107089
"Wolfgang Schuessel"	0.105876
Klerk	0.10518
"Mikhail Kasyanov"	0.104711
"Xiong Guangkai"	0.104555
"Vladimir Putin"	0.104528
"Kim Jong Il"	0.104274
"Lamberto Dini"	0.103787
"Alberto Fujimori"	0.102869
"Yasser Arafat"	0.102567
"Ernesto Zedillo"	0.102314
"Ayatollah Ali Khamenei"	0.101949
Wamba	0.101092
"Ieng Sary"	0.100572
"Joseph Estrada"	0.100042
"James Baker"	0.100038
"Abdulsalami Abubakar"	0.0998353
McGuinness	0.0995179
"Pandeli Majko"	0.0994718
Kwasniewski	0.0992395
"Pierre Buyoya"	0.0990837
"Andres Pastrana"	0.0983266
"Meles Zenawi"	0.0981766
Chand	0.0981651
"Mitt Romney"	0.0978862
"Henry Shelton"	0.0976902
"Megawati Sukarnoputri"	0.0974038
"H.D Deve Gowda"	0.0973362
Izetbegovic	0.0973215
"David Duke"	0.0971553
"Roosevelt Johnson"	0.0969422
"Viktor Chernomyrdin"	0.0966075
Zeroual	0.0965244
"B.J Habibie"	0.0962431
"Kresimir Zubak"	0.0961806
"Ta Mok"	0.0954824
"Julius Nyerere"	0.0951439
"Bizima Karaha"	0.0950109
Chissano	0.0949923
"Joschka Fischer"	0.0947934
"Antonio Guterres"	0.094651
"Yitzhak Mordechai"	0.0946361
"Pasteur Bizimungu"	0.0945623
Nebiolo	0.0942549
"Krishna Prasad Bhattarai"	0.0942163
"Harry S. Truman"	0.0939164
"Chuan Leekpai"	0.0937431
"Carlos Menem"	0.0933266
"David Trimble"	0.0931292
"Lokendra Bahadur Chand"	0.0929631
"Fatos Nano"	0.0927817
"Sergei Stepashin"	0.0927554
"Steve Ballmer"	0.0926189
"Nelson Mandela"	0.0922098
"Wesley Clark"	0.0917654
"Grigory Yavlinsky"	0.0916758
"Alexander Lebed"	0.0916474
Stoyanov	0.0916333
"Pascoal Mocumbi"	0.0914286
"Chea Sim"	0.0908285
"Khaleda Zia"	0.0908148
"Atal Behari Vajpayee"	0.0907436
"Michel Camdessus"	0.0906805
"Frank Joklik"	0.0901557
"Slobodan Milosevic"	0.0898009
"Romano Prodi"	0.0897672
"Paul Kagame"	0.08968
"Sheikh Hasina"	0.0894993
"Faisal Husseini"	0.0893922
"Khin Nyunt"	0.0892446
"Girija Prasad Koirala"	0.0889767
"Martin Lee"	0.0887645
"Ernie Grunfeld"	0.0883831
Rakhmonov	0.0876566
"Johnny Paul Koroma"	0.0868909
Bouteflika	0.0868429
"Vladimir Zhirinovsky"	0.0868071
"Ayatollah Ruhollah Khomeini"	0.0867724
"Jeremy Greenstock"	0.0865909
"Ricardo Lagos"	0.0862983
Khamenei	0.0862169
"Bernard Kouchner"	0.0860801
"John Shalikashvili"	0.0859937
"Abdullah Ocalan"	0.0858534
"Sam Rainsy"	0.0852451
"Shimon Peres"	0.0850826
"Megawati Soekarnoputri"	0.0849045
"Jiang Zemin"	0.0848744
"Bashar Assad"	0.0846626
"Amien Rais"	0.0843131
Wahid	0.0841523
"De Klerk"	0.0841079
"Benazir Bhutto"	0.0837482
Diouf	0.083671
"Yegor Stroyev"	0.0836194
"Milos Zeman"	0.0835982
"Dwight D. Eisenhower"	0.0835851
"Igor Sergeyev"	0.0834536
"Tom Daschle"	0.0834088
al-Bashir	0.0833329
"John Hume"	0.0833002
"Orlando Mercado"	0.0832035
Nazarbayev	0.0826158
Khattab	0.0819883
Narayanan	0.0816896
"Necmettin Erbakan"	0.0816518
"Andrew Johnson"	0.0815622
D-Mo.	0.0815009
"Ali Mahdi Mohamed"	0.0812919
"Deve Gowda"	0.08122
"Dick Gephardt"	0.080922
"Aung San Suu Kyi"	0.0807961
"Viktor Orban"	0.0807166
"Dick Armey"	0.0806753
))
(Asmara (desc 11239.8) (sims
Dushanbe	0.241553
Kigali	0.215273
Tripoli	0.201091
Bujumbura	0.200801
Algiers	0.199191
"Addis Ababa"	0.195323
Riyadh	0.193678
Khartoum	0.192315
Windhoek	0.188541
Dili	0.186657
Tbilisi	0.186649
Skopje	0.185092
Kinshasa	0.178246
MANAMA	0.176397
"Guatemala City"	0.176381
Kabul	0.173008
Accra	0.172574
Gaborone	0.172292
Lome	0.171601
Pristina	0.170669
Amman	0.167584
Srinagar	0.167356
ZAGREB	0.167341
TIRANA	0.166374
Tashkent	0.166015
KIEV	0.164067
Pretoria	0.162288
Yerevan	0.161326
Luanda	0.160057
Bissau	0.158683
Minsk	0.158185
BOGOTA	0.158119
Nairobi	0.157953
Sarajevo	0.157406
Chisinau	0.15707
Abidjan	0.15677
Rabat	0.156168
Monrovia	0.154938
ANKARA	0.154505
CAIRO	0.154453
Baku	0.153297
Kandahar	0.151824
KAMPALA	0.151789
Katmandu	0.151516
Mbabane	0.150734
HARARE	0.15061
Baghdad	0.150251
Havana	0.149854
Islamabad	0.149739
Honiara	0.149213
SOFIA	0.149064
Quito	0.148763
Belfast	0.146978
Tehran	0.146719
HANOI	0.146598
"Buenos Aires"	0.146218
MAPUTO	0.146085
Freetown	0.145847
"Phnom Penh"	0.145037
BELGRADE	0.144632
BUCHAREST	0.144613
SEOUL	0.144354
Beirut	0.144175
"New Delhi"	0.143266
Damascus	0.142786
TUNIS	0.142472
Maseru	0.141638
Lusaka	0.140549
Vientiane	0.139227
Vilnius	0.139187
"Santo Domingo"	0.139135
Brazzaville	0.138585
DHAKA	0.138485
Doha	0.137862
Bishkek	0.137547
Podgorica	0.135304
Jakarta	0.13352
Muscat	0.132947
JOHANNESBURG	0.131448
Jeddah	0.131148
Prague	0.130752
"Kuala Lumpur"	0.130268
"La Paz"	0.130158
Dakar	0.129924
Mogadishu	0.129816
Abuja	0.128961
Dublin	0.128919
SANAA	0.128193
LISBON	0.127665
CARACAS	0.126727
Bangkok	0.126726
PYONGYANG	0.126696
Grozny	0.12645
WARSAW	0.126248
Lahore	0.126159
"Dar es Salaam"	0.125994
Durban	0.125821
COLOMBO	0.125085
"Tel Aviv"	0.124922
Bangui	0.123988
"San Salvador"	0.123975
BUDAPEST	0.123887
Ljubljana	0.123608
Suva	0.123273
Lima	0.123171
BRUSSELS	0.122147
Peshawar	0.121833
Moscow	0.121754
Oslo	0.121086
TEGUCIGALPA	0.119925
Asuncion	0.118746
"Cape Town"	0.118564
Istanbul	0.118446
YANGON	0.118307
Jayapura	0.117742
Geneva	0.117403
Moroni	0.116624
Jalalabad	0.116102
Managua	0.11602
Taipei	0.115996
Manila	0.115341
Ouagadougou	0.115025
Bonn	0.115012
Hyderabad	0.114525
Helsinki	0.114056
Vladikavkaz	0.113799
Frankfurt	0.113778
Vienna	0.113183
Rome	0.112684
"San Juan"	0.11268
Port-au-Prince	0.112599
Santiago	0.112593
BRATISLAVA	0.112431
NICOSIA	0.112428
ATHENS	0.11125
Ashkhabad	0.110986
Goma	0.110884
Yaounde	0.110713
PATNA	0.110712
Astana	0.110417
Bamako	0.110339
Karachi	0.109194
Eritrea	0.108366
Arusha	0.107926
STOCKHOLM	0.107257
"Mexico City"	0.106521
Kuito	0.106158
Amsterdam	0.105667
"Abu Dhabi"	0.105077
Gaza	0.104776
Madrid	0.104712
"Ho Chi Minh City"	0.104354
Copenhagen	0.103696
Tokyo	0.103643
Djibouti	0.103359
Bahrain	0.102316
"Port Moresby"	0.102056
Assab	0.101966
Lagos	0.101789
MELBOURNE	0.100852
Halifax	0.100759
Calcutta	0.100085
Urumqi	0.100007
Juba	0.0998609
Kathmandu	0.0998392
Alexandria	0.0995546
Zurich	0.0994737
BEIJING	0.09946
Paris	0.0992298
Kunming	0.0990184
Munich	0.0986516
"Egyptian capital"	0.0985015
Conakry	0.0984864
Bern	0.0979261
LONDON	0.0969859
Mazar-e-Sharif	0.0969712
Lhasa	0.0968776
BRASILIA	0.0966196
Wellington	0.0965018
Berlin	0.0962031
CHENGDU	0.0960672
Reykjavik	0.0957508
"Sao Paulo"	0.0936761
Auckland	0.0931656
Perth	0.0924337
Murmansk	0.0923606
"Little Rock"	0.0922046
Taloqan	0.0917745
DUBAI	0.0913077
Ambon	0.0908436
Libreville	0.0907547
Brisbane	0.0906703
Cartagena	0.0905597
Huambo	0.0903915
Tuzla	0.0902721
Makhachkala	0.0901415
Kisangani	0.0900829
Tallinn	0.0894032
Honolulu	0.0887414
"Banja Luka"	0.088545
))
(ASO (desc 2320.11) (sims
BSO	0.180301
"Boston Symphony"	0.132587
"New York Philharmonic"	0.12096
Massport	0.105644
"Boston Pops"	0.103673
"Boston Symphony Orchestra"	0.101798
orchestra	0.0885346
TAZARA	0.0884459
Bocelli	0.0843445
LAUSD	0.083493
MTA	0.0833467
PSE	0.0783038
SUNY	0.0777131
"Ballet Theater"	0.0740645
CSE	0.0721282
Halliburton	0.0714819
"Vienna Philharmonic"	0.0695778
Philharmonic	0.0692952
sing-along	0.0676159
"City Ballet"	0.0672058
BNFL	0.0665345
USTA	0.0660094
"Australian Olympic Committee"	0.0659959
"Salt Lake Organizing Committee"	0.065632
symphony	0.0656037
"Deutsche Grammophon"	0.0651343
Wada	0.0646238
BLM	0.0646106
SLOC	0.0639067
"Royal Ballet"	0.0636512
CAA	0.0634882
"Berlin Philharmonic"	0.0628466
Spoleto	0.062634
EBRD	0.061713
GAAF	0.0608314
Boulez	0.0608221
ama	0.0607594
Pacifica	0.0603609
SCLC	0.0602737
ADL	0.0599569
"Stride Rite"	0.0596356
Ellington	0.0594703
DMA	0.0593711
ITF	0.0593515
AHA	0.0592892
Yaddo	0.0592877
DFG	0.0591958
PBA	0.0589602
YankeeNets	0.0586001
"Bruce Springsteen"	0.057858
Totalfina	0.0578486
"Times Mirror"	0.0573034
"Philadelphia Orchestra"	0.0572133
CMA	0.0571958
UNAM	0.0565886
Nepa	0.0564563
Comelec	0.0561138
KPA	0.0559771
UNC	0.0557661
SOCOG	0.0554348
"symphony orchestra"	0.0554297
MPAA	0.0548701
NiSource	0.0546935
"Los Angeles Unified"	0.054637
IU	0.0545987
"Sdn Bhd"	0.0545807
Springsteen	0.0541971
OCA	0.0539257
PML-N	0.0538511
UD	0.0538177
Streetcar	0.0535268
CUNY	0.0535104
Marketspan	0.0534617
NAACP	0.0534576
ATC	0.0530977
"Metropolitan Opera"	0.0530728
spina	0.052647
CDU	0.0524937
SAFY	0.0523846
"Cleveland Orchestra"	0.052079
"Malaysia Airlines"	0.052061
NLRB	0.0519454
UW	0.0518518
"Airport Authority"	0.0514228
Caruso	0.0512994
Kremer	0.0511811
Spector	0.0511789
ECB	0.0511664
Tanglewood	0.0509975
"Pierre Boulez"	0.0508346
"Pearl Jam"	0.0505609
Presley	0.0502935
Kirov	0.0502615
NKP	0.0502505
OSU	0.0496087
Generali	0.0495324
"Billie Holiday"	0.0494709
"E Street Band"	0.0492046
"Los Angeles Unified School District"	0.0491996
AFA	0.0487239
Pharmacia	0.0486866
cappella	0.0484219
UNIP	0.0483154
EarthLink	0.0481703
YPF	0.0481525
PSG	0.0479029
"True North"	0.0478392
USOC	0.0478388
WEF	0.0478364
"National Grid"	0.0478095
"New York City Ballet"	0.0477436
AOC	0.047345
SAS	0.047104
IGAD	0.046955
Arista	0.0468814
Post-Intelligencer	0.0468439
ITC	0.0466997
Kimbell	0.0466027
"City Opera"	0.0465393
"U.S. Soccer Federation"	0.0464758
"Common Cause"	0.0463919
Amtrak	0.0463662
choir	0.0462761
PB	0.0462687
UAL	0.0462392
FEMA	0.0462251
"Carnegie Hall"	0.0459161
UGA	0.0457844
Dion	0.0455781
"Lilith Fair"	0.0455752
"Atlanta Constitution"	0.0455085
NTSB	0.0454332
Mahler	0.0452911
Gazprom	0.0450563
USAID	0.0450217
"ballet company"	0.0448825
FIVB	0.0448164
ISO	0.0447452
SNCF	0.0446221
"Scarlet Knights"	0.0446217
INEC	0.0446064
JAMA	0.0445552
AGL	0.0445489
Uri	0.0444694
Sunbeam	0.0444533
Dodgertown	0.0443596
"Lincoln Center"	0.0443379
ATHOME	0.0442933
Ingalls	0.0442068
UMass	0.0441669
met	0.0439778
AEC	0.0439357
"James Levine"	0.0438809
Beatles	0.0438117
CPP	0.043811
PDP	0.0437347
Lockheed	0.0436279
RJR	0.0434892
NAU	0.0434828
Mavs	0.0432438
C-USA	0.0431798
"blue ribbon"	0.043096
"Screen Actors Guild"	0.0430826
Lilco	0.0429648
"Metropolitan Transportation Authority"	0.0429418
world-famous	0.0429054
"one school"	0.0428176
Cablevision	0.0428175
DLC	0.0427843
"Learning Co."	0.0426824
"Rolling Stones"	0.042657
Roberds	0.0425438
UMNO	0.0424679
Pemex	0.0424277
CRI	0.0420938
NARAL	0.0420618
"Royal Bank"	0.0419752
"Washington Mutual"	0.0417079
CNA	0.0416433
Yoakam	0.0414598
CalPERS	0.0412993
"Di Canio"	0.0412907
"American Red Cross"	0.0412671
"Times Co."	0.0411478
ZCTU	0.0410424
"big band"	0.0410252
Calla	0.0410167
Heppner	0.0410067
PML	0.0410049
WebMD	0.0409404
ZCCM	0.0409279
UTC	0.040887
DMV	0.0408216
Bertelsmann	0.0408165
Symantec	0.0407559
PATA	0.0407205
capella	0.040718
"US Airways"	0.0406558
Puente	0.0406174
Klemperer	0.0405747
))
(asp (desc 1220.46) (sims
ISP	0.110067
"data communication"	0.108736
videogame	0.0927365
"Medicare HMO"	0.0847647
"wireless telephone"	0.0835352
business-to-business	0.0774526
"data entry"	0.0764574
Priceline	0.0752115
B@B	0.0747651
mem	0.0746964
small-business	0.0702453
vending	0.0686154
midsize	0.0676727
leasing	0.0660123
personalization	0.0653148
"life science"	0.0639759
pan-European	0.0638603
Telecoms	0.0633021
dot.com	0.0631431
"test equipment"	0.0630088
multibillion	0.0626571
"investment banking"	0.0626142
SMI	0.0611582
reinsurance	0.0611392
videophone	0.0607036
"consumer credit"	0.0606192
forklift	0.0600593
forwarding	0.0598729
broadband	0.0587088
"Fort Worth-Dallas"	0.0583562
multichannel	0.0579803
"cellular telephone"	0.0578078
"dry cleaning"	0.0577785
preparers	0.0577288
fastest-growing	0.0574511
Orwellian	0.0572194
folio	0.0569634
Eurobond	0.056828
"audio CD"	0.0563344
e-business	0.0560033
telephony	0.0556241
"junk bond"	0.0553909
"bond trading"	0.0550744
Ganassi	0.0550375
IC	0.0548622
"More than three million"	0.0547506
"Sprint PCS"	0.0544897
"six billion"	0.0544861
PML-N	0.0543412
"cable television"	0.0543101
preteen	0.0542958
"driving school"	0.0539718
"Southwestern Bell"	0.0539505
"nuclear family"	0.0537152
"back office"	0.0531951
midrange	0.0531466
"turning away"	0.0522291
"municipal bond"	0.0521288
PEOPLESOFT	0.0521208
GPU	0.0521058
"charge card"	0.0520368
"Prime Minister Kamal El-Ganzouri"	0.0520184
"investment trust"	0.0517057
"sixth and seventh"	0.0515199
Gaming	0.051486
"four quarters"	0.0512619
Superdome	0.0510298
"Ask Jeeves"	0.0504531
CitySearch	0.0500308
Thunderbird	0.0498187
Lue	0.0497427
"penny stock"	0.0495159
AGL	0.0494877
"belly dancer"	0.0492748
"close to @@,@@@"	0.0492014
Metreon	0.049136
Monique	0.0487714
CDMA	0.0486802
"Science City"	0.0486459
Acela	0.0483655
"billion dollar"	0.0482699
DoCoMo	0.0479428
Rattler	0.0479294
cellphone	0.0475766
copier	0.0475679
Barrymore	0.04727
aggregation	0.0472284
after-hours	0.047156
Haryana	0.0468279
mainframe	0.0468267
inpatient	0.0468096
"data processing"	0.0467958
"small cap"	0.0464209
"guessing game"	0.0464021
salutation	0.0463307
facsimile	0.0460178
REIT	0.0459105
bare-bones	0.0458832
cobra	0.0458118
"Jehovah's Witnesses"	0.0457581
experimenter	0.0457573
self-service	0.0457436
graphite	0.0455759
"Malaysian capital"	0.0453772
"bank card"	0.0453292
"almost @ million"	0.0451919
"Far Eastern"	0.0451308
superstore	0.0450965
interment	0.0448821
stork	0.0448765
tux	0.0446915
confectionery	0.0445173
no-frills	0.0444134
"Waffle House"	0.0442974
snowplow	0.0442506
lawman	0.0442442
DSP	0.0441982
IDD	0.0441153
Kamal	0.0440484
emulator	0.043903
Roadrunner	0.0436264
toupee	0.0434641
Crichton	0.0434579
"object lesson"	0.0431341
spiffy	0.0429122
"Thermo Electron"	0.0428077
Priceline.com	0.0427624
PCI	0.042732
A@XX	0.0426436
bundling	0.0426415
"more than @.@@ million"	0.0425455
"information provider"	0.0424926
integrator	0.0423304
"securities trading"	0.0421948
TiVo	0.04212
REALTY	0.0421198
IMAX	0.042084
syndication	0.0419518
"greeting card"	0.041944
"open air"	0.0419115
bullfrog	0.0418617
ReplayTV	0.0418314
Forty-four	0.0418167
BoT	0.0418004
KIMCHI	0.0417918
E-Trade	0.0417346
"Dream Team"	0.0417037
over-@@	0.0416856
Toysmart	0.0415237
stent	0.0415133
S@	0.0414334
JVC	0.0413085
"language barrier"	0.0412517
"Al Ahram"	0.0412288
"Pac Bell"	0.0411799
hairdressing	0.0411484
telemedicine	0.041075
"consumer product"	0.0409848
lysine	0.0409586
"money order"	0.0409543
rattlesnake	0.0409188
Centerfold	0.040875
"Carole Sund"	0.040861
ritz	0.0408178
"pork barrel"	0.040788
"New Balance"	0.0407688
"second hand"	0.0406491
temptress	0.0406021
"High Point"	0.0405959
examinees	0.0405593
ATHOME	0.0405118
Akamai	0.0405063
TRUANT	0.0404863
handheld	0.0403994
"U.S. Administration"	0.0403495
pharaohs	0.0403447
Amway	0.0402852
inkjet	0.0402267
add-on	0.0401499
"About three million"	0.0401095
dram	0.0400877
Jukebox	0.0400458
arrhythmia	0.040038
))
(asparagus (desc 14515.8) (sims
eggplant	0.265494
spinach	0.248009
tomato	0.241188
zucchini	0.232446
Broccoli	0.229749
celery	0.22908
"green bean"	0.226156
carrot	0.225552
onion	0.225254
potato	0.221841
leek	0.221075
"brussels sprout"	0.220123
cucumber	0.218998
artichoke	0.217085
mushroom	0.215377
fennel	0.213228
cabbage	0.212356
scallion	0.207272
beet	0.206362
"sweet potato"	0.2061
"green onion"	0.198773
Garlic	0.19462
parsnip	0.188538
turnip	0.187551
pea	0.186296
cauliflower	0.185969
"chicken breast"	0.185132
shrimp	0.182552
arugula	0.171493
okra	0.170482
mussel	0.168749
lettuce	0.168481
radish	0.167415
"red onion"	0.166914
"bell pepper"	0.165371
"pork tenderloin"	0.164583
"goat cheese"	0.163598
bean	0.163335
sausage	0.162396
shallot	0.162366
parsley	0.162019
pineapple	0.160521
chicken	0.160302
noodle	0.159894
"red pepper"	0.159194
pasta	0.156748
pepper	0.154996
cheese	0.154923
RHUBARB	0.153976
avocado	0.153505
"green pepper"	0.152324
Basil	0.15019
ham	0.149954
vegetable	0.148917
peach	0.148171
squash	0.148033
scallop	0.147105
chard	0.146674
watercress	0.144719
corn	0.144248
pumpkin	0.142445
plantain	0.142347
chive	0.14129
lentil	0.140693
Endive	0.139408
cilantro	0.139334
steak	0.139034
"beef tenderloin"	0.135753
melon	0.135165
olive	0.134804
pork	0.134206
chiles	0.133188
pancetta	0.132733
Sirloin	0.132541
bacon	0.131557
chilies	0.131184
"pork loin"	0.130494
cantaloupe	0.130178
halibut	0.130167
salmon	0.130139
"roast beef"	0.129768
"shiitake mushroom"	0.12958
Parmesan	0.128815
tuna	0.127645
"snow pea"	0.127632
fillet	0.127205
prosciutto	0.127193
mozzarella	0.127096
pear	0.126808
tortilla	0.12679
"fava bean"	0.126696
fig	0.126314
salad	0.125589
bread	0.125558
mango	0.124973
lemon	0.124622
clam	0.123803
morel	0.123041
tofu	0.122423
"garlic clove"	0.122184
"tomato sauce"	0.121857
Chickpea	0.121045
sauerkraut	0.120864
"string bean"	0.120404
tomatillo	0.120093
ginger	0.119762
veggie	0.119659
"bok choy"	0.119509
linguine	0.118686
pecan	0.118342
almond	0.118082
sauce	0.118021
crab	0.11781
"bean sprout"	0.117765
Kale	0.117321
"black bean"	0.11675
lamb	0.116704
meat	0.116489
anchovy	0.115468
tortellini	0.114804
polenta	0.114257
rutabaga	0.113848
chop	0.113744
"smoked salmon"	0.113512
puree	0.112634
macaroni	0.112582
barley	0.11252
strawberry	0.112227
apple	0.11128
"sweet corn"	0.111147
tarragon	0.110651
oyster	0.110632
salami	0.110207
chanterelle	0.108745
dill	0.108647
"foie gras"	0.108602
fruit	0.10701
mint	0.106956
lobster	0.106778
soup	0.106692
jalapeno	0.106017
ravioli	0.105871
"plum tomato"	0.105608
"ground beef"	0.105407
walnut	0.105383
"root vegetable"	0.105276
butter	0.105144
"filet mignon"	0.104305
blueberry	0.103908
banana	0.103623
"sea bass"	0.103527
florets	0.103072
vinegar	0.102825
octopus	0.102589
"black olive"	0.102094
chorizo	0.101628
Collard	0.101584
vinaigrette	0.101424
herb	0.101299
apricot	0.101195
"water chestnut"	0.101023
slice	0.100973
beef	0.100836
truffle	0.100751
"grated cheese"	0.100639
"lima bean"	0.100538
pilaf	0.10034
rice	0.100243
"hard-boiled egg"	0.100142
egg	0.0997745
cutlet	0.0996106
veal	0.0993151
"winter squash"	0.0988803
"blue cheese"	0.0980974
radicchio	0.0979842
sprout	0.097734
"Swiss chard"	0.0976888
oregano	0.0976659
fish	0.0976375
swordfish	0.0971885
salsa	0.0967298
spaghetti	0.09656
broth	0.096184
raspberry	0.0958944
"sour cream"	0.095823
Pudding	0.0957096
peanut	0.0956916
berry	0.0956771
nectarine	0.0953723
"pine nut"	0.094758
"rack of lamb"	0.0946833
Chili	0.0944546
plum	0.0944444
calamari	0.0936629
grape	0.0935183
watermelon	0.09343
yam	0.0931463
frisee	0.0930407
mustard	0.0930071
pickle	0.0929624
))
(aspect (desc 99117.6) (sims
issue	0.141742
element	0.140505
matter	0.130857
facet	0.130675
nature	0.125077
development	0.122563
subject	0.118066
quality	0.116808
detail	0.116276
concept	0.112271
fact	0.111416
dimension	0.109989
topic	0.10882
situation	0.108394
problem	0.108184
implication	0.107301
possibility	0.10656
reality	0.105971
importance	0.104831
process	0.104499
impact	0.103874
question	0.103854
policy	0.103842
strategy	0.103723
outcome	0.103047
characteristic	0.102744
thing	0.102436
idea	0.101287
consequence	0.10062
theme	0.100187
factor	0.0999024
role	0.0998776
complexity	0.0998276
task	0.0994943
principle	0.0980871
part	0.0980547
feature	0.0976761
trend	0.0970422
result	0.0965582
history	0.0960146
objective	0.0956145
finding	0.0955871
kind	0.0952044
approach	0.0944594
method	0.0936103
culture	0.0932691
future	0.0931201
circumstance	0.0930101
cause	0.0929457
activity	0.0926668
politics	0.0925753
procedure	0.092442
notion	0.0921818
reform	0.0921542
form	0.0921217
relationship	0.0920336
behavior	0.0918188
Implementation	0.091482
achievement	0.0912097
style	0.0910426
effect	0.0910375
content	0.090879
technique	0.0908706
context	0.0907276
way	0.0905225
structure	0.0902642
management	0.0901514
essence	0.089849
provision	0.0897166
affair	0.0894983
function	0.0894552
change	0.0893746
fundamental	0.0893026
type	0.089257
need	0.0892295
theory	0.089027
challenge	0.0888716
evolution	0.0885416
measure	0.0883864
design	0.088252
component	0.0881161
environment	0.0879857
life	0.0878091
prospect	0.0877939
purpose	0.0876363
science	0.0875729
significance	0.0870807
specific	0.0869315
work	0.0869287
term	0.0868155
experience	0.0867097
sphere	0.0866656
case	0.0863529
condition	0.0862034
art	0.0860889
progress	0.0859839
arrangement	0.085949
sense	0.0855519
shortcoming	0.0854178
lack	0.0853339
requirement	0.0844321
system	0.084368
image	0.0842955
meaning	0.0841596
handling	0.0838333
effort	0.0836006
study	0.0835571
technology	0.0833155
sector	0.0833146
Promotion	0.0831819
program	0.083085
perception	0.0827219
health	0.0825523
pattern	0.0825024
priority	0.0824255
framework	0.0822567
improvement	0.0815242
finance	0.0814585
interpretation	0.081429
that	0.0814167
scope	0.0813039
knowledge	0.0811461
flaw	0.0810447
performance	0.0810223
research	0.0810071
value	0.0809824
this	0.0808038
story	0.0805693
plan	0.0803723
paradox	0.0800703
variety	0.0800543
success	0.0800273
ethic	0.0800248
accomplishment	0.0799471
discussion	0.0799284
"foreign policy"	0.0799089
feasibility	0.0798691
view	0.079847
difficulty	0.079783
proposal	0.0796997
benefit	0.0796907
ability	0.0796186
dynamics	0.0794478
potential	0.0794396
conduct	0.0794171
vision	0.0794059
project	0.0793189
spirit	0.0792917
business	0.0790458
tradition	0.0787777
mechanism	0.0787736
status	0.0787388
law	0.0786587
protection	0.0786416
trait	0.078473
education	0.0784469
example	0.0784236
assessment	0.078239
reason	0.0782115
event	0.0780465
number	0.0776611
phenomenon	0.0775301
everything	0.0775233
timing	0.0774626
phase	0.0774161
application	0.0772187
definition	0.0772063
security	0.0771679
agenda	0.0771031
character	0.0770621
sport	0.0769402
nuance	0.0766969
practice	0.0766899
dynamic	0.0766816
some	0.0766553
"basic principle"	0.0766011
skill	0.0765399
tactic	0.0763032
prevention	0.0762286
decision	0.0762159
standard	0.0761558
scenario	0.076011
parameter	0.0759076
action	0.0758485
extent	0.0757379
field	0.0756969
legacy	0.0756775
area	0.0756525
understanding	0.0755646
effectiveness	0.0755184
response	0.0754114
workings	0.0754026
economics	0.0752132
sort	0.0750879
concern	0.0748617
preparation	0.0748487
necessity	0.0748297
attitude	0.0747787
difference	0.0746343
initiative	0.074258
))
(Aspen (desc 9982.14) (sims
Breckenridge	0.172993
Vail	0.161057
Telluride	0.0950604
spruce	0.0923
Kennebunkport	0.0905399
Hamptons	0.0877008
"Palm Springs"	0.0866892
Elm	0.0845785
beech	0.0840751
cottonwood	0.0810089
"Sun Valley"	0.0806404
Englewood	0.077143
fir	0.0767306
poplar	0.0715942
Sochi	0.0712403
"Park City"	0.0693802
CANCUN	0.0686404
Sedona	0.068557
"Grand Junction"	0.0683908
"Fort Collins"	0.0683532
Honolulu	0.0679889
Maple	0.0676308
"East Hampton"	0.0674527
"Santa Fe"	0.0668041
"Las Vegas"	0.0667609
"Colorado Springs"	0.0666033
pine	0.065393
"Little Rock"	0.0642501
Venice	0.0637666
Skaneateles	0.0636917
"Palm Beach"	0.0619667
Oak	0.0607596
resort	0.0601752
"Atlantic City"	0.0593352
Tucson	0.0591184
eucalyptus	0.0591004
"Disney World"	0.0587817
Austin	0.0576863
BRIGHTON	0.057602
"Lake Louise"	0.0568907
LAKEWOOD	0.0568007
Denver	0.0562688
Birch	0.0561677
Durango	0.056062
"Santo Domingo"	0.0557301
Banff	0.0552212
Bahamas	0.0551014
Ballymoney	0.0550888
Bermuda	0.0550099
Acapulco	0.0549514
Hawaii	0.0547775
Hemlock	0.0547034
Tampa	0.0540849
Naples	0.0536545
Monterey	0.0535168
"Miami Beach"	0.0530875
Whistler	0.0530226
Sestriere	0.0526534
Orlando	0.0524599
Boulder	0.0523517
Chappaqua	0.052251
Charlottesville	0.0521428
willow	0.0520742
evergreen	0.0520422
"French Alps"	0.0519928
"New Orleans"	0.0519476
Dublin	0.0517639
"Puerto Vallarta"	0.0517512
"ponderosa pine"	0.0514452
Montreal	0.0513911
"Saratoga Springs"	0.0512608
Redding	0.0509954
Williamsport	0.0509872
Havana	0.0506847
redwood	0.0505669
Albuquerque	0.0501674
Pueblo	0.0500373
Northampton	0.0499988
"Ho Chi Minh City"	0.0498938
"West Palm Beach"	0.0498874
"Montego Bay"	0.0498597
Savannah	0.0498069
Greenwich	0.049513
Cambridge	0.0490611
Provincetown	0.0490319
Missoula	0.0490204
"Baton Rouge"	0.0490055
cypress	0.0489807
Alexandria	0.04886
"Fort Lauderdale"	0.0487537
"Grand Canyon"	0.0487114
"St. Petersburg"	0.0486999
"Swiss Alps"	0.0483987
Vineyard	0.0483928
Wichita	0.0481681
Scottsdale	0.047917
Newark	0.0478506
Tempe	0.0478467
Chamonix	0.0477878
"Mill Valley"	0.0477856
Conifer	0.0477686
Memphis	0.047716
"Hollywood Hills"	0.0475654
"Salt Lake City"	0.0475118
Windsor	0.0473167
"Key West"	0.04731
Newport	0.0471201
Indianapolis	0.0470079
"Myrtle Beach"	0.0469862
Bali	0.0467952
Boise	0.046734
"White Plains"	0.0466047
Nassau	0.0465982
Maine	0.0465641
Vancouver	0.0463469
Nashville	0.0463113
Princeville	0.0461293
Urosevac	0.045965
Juniper	0.0459407
Berkeley	0.045842
cedar	0.0456636
Marjayoun	0.04564
Albany	0.0454177
"Fort Worth"	0.0454064
"Long Beach"	0.045378
Tuscany	0.0453178
Geneva	0.0448838
"Mexico City"	0.0447201
Tbilisi	0.0446375
"Bay Area"	0.0446006
dogwood	0.0445352
"Daytona Beach"	0.0445342
Mankulam	0.0443563
Kukes	0.0441419
Pailin	0.0441098
"Beverly Hills"	0.0440754
ASHEVILLE	0.0439985
Concord	0.0438223
hickory	0.0438074
Gloucester	0.0437403
"Palo Alto"	0.0437357
Florence	0.0437204
Accra	0.043662
"Virginia Beach"	0.0435714
Cooperstown	0.0435703
Jamaica	0.0434107
Pristina	0.0433785
Richmond	0.0433157
"South America"	0.0432522
Charleston	0.0432041
"Great Neck"	0.0431004
Branson	0.0430678
"Santa Barbara"	0.0430668
Cannes	0.0428878
Lenox	0.0428291
Birmingham	0.0426815
Minneapolis	0.0426566
Eugene	0.0426321
Portsmouth	0.0426277
Prescott	0.0425952
"El Paso"	0.0423734
L.A	0.0421775
"Santa Monica"	0.0421577
Duluth	0.0421047
Vienna	0.0419787
LISBON	0.0418856
Dover	0.0417975
"Oklahoma City"	0.0417887
Portland	0.0416372
Prague	0.0413941
Waterville	0.0413915
Littleton	0.0413679
Stowe	0.0413288
Lubbock	0.0413188
Knoxville	0.0412775
Djakovica	0.0412723
Marietta	0.0412479
Taba	0.0412175
Mitrovica	0.0411737
Belfast	0.0411695
Berkshires	0.0411114
"Victoria Falls"	0.0410158
"Vero Beach"	0.0409495
"live oak"	0.0409022
"Rio de Janeiro"	0.0408336
Omaha	0.0408315
"San Antonio"	0.0407959
CARACAS	0.0407566
Vega	0.0406871
Arusha	0.0406797
"The Hague"	0.0405567
Vermont	0.0404902
Istanbul	0.0404783
"La Jolla"	0.0404233
Malibu	0.0404135
"San Juan"	0.0403858
Nagano	0.0403444
"Lake Tahoe"	0.0402922
Providence	0.0402603
Sarasota	0.0402393
))
(aspersion (desc 1623.05) (sims
presure	0.0611734
onus	0.0558531
"Amr Moussa"	0.0524772
damper	0.0520874
"practical joke"	0.0506388
sidelight	0.0499284
hex	0.0493495
imprimatur	0.0488716
"absentee ballot"	0.0485402
blemish	0.0482988
"wonder drug"	0.0477451
gabfest	0.046274
"goose bumps"	0.0448672
chokehold	0.0445112
C-section	0.0444996
"surprise attack"	0.0434661
snuck	0.0431679
"curtain raiser"	0.0431383
"Saudi King Fahd Ibn Abdul-Aziz"	0.0430514
feasting	0.0427294
ex-convicts	0.0425695
foot-dragging	0.0425378
backsliding	0.0419863
"King Abdullah Bin Hussein"	0.0416032
stranglehold	0.0406436
"final judgment"	0.0404155
pallor	0.0403572
))
(asphalt (desc 12411.5) (sims
Concrete	0.137777
gravel	0.112034
cement	0.108223
pavement	0.103812
brick	0.0975466
sand	0.095653
plaster	0.0952889
dirt	0.0918463
tile	0.0857349
metal	0.0856346
plastic	0.0833504
stone	0.0775132
clay	0.0773404
steel	0.0764234
rubber	0.0753513
grass	0.0750447
sod	0.0738205
"building material"	0.0734037
mud	0.0733193
lumber	0.0720263
timber	0.0718427
sheetrock	0.0676524
resin	0.0675906
wax	0.0673933
insulation	0.0673773
marble	0.0662169
Coal	0.0655438
stucco	0.0644364
fertilizer	0.0642813
granite	0.0640581
blacktop	0.0639157
tar	0.0636605
"diesel oil"	0.0634954
sidewalk	0.0628304
aluminum	0.0622009
iron	0.0621965
soil	0.0619867
cardboard	0.0606614
"iron ore"	0.0605275
lava	0.0604457
cobblestone	0.0600702
silt	0.0599545
pebble	0.059757
lubricant	0.0597109
grease	0.05881
soot	0.0584912
ICE	0.05843
glass	0.0583515
limestone	0.0583059
"lubricating oil"	0.0581868
Plywood	0.0578268
"liquefied petroleum gas"	0.0567733
dust	0.0562758
charcoal	0.0562749
muck	0.055955
mulch	0.0557086
petrochemical	0.0556256
compost	0.0555189
paraffin	0.0555096
parkland	0.0551162
siding	0.055055
scaffolding	0.0549855
debris	0.0549389
"stone wall"	0.0547931
chemical	0.0547344
linoleum	0.0546409
wallboard	0.0540277
"barbed wire"	0.0537364
vinyl	0.0535828
fiber	0.0535021
basalt	0.0534987
"steel plate"	0.0534698
rubble	0.0533685
earth	0.0531335
snow	0.0530318
manure	0.0526051
pulp	0.0525345
foam	0.0524799
carpeting	0.0524664
Sewage	0.0523865
solvent	0.0519539
sarcophagus	0.0519204
slab	0.051515
flesh	0.0513425
sheeting	0.0512398
fabric	0.0507467
bark	0.0502748
"fuel oil"	0.0494959
skin	0.0494792
"food coloring"	0.0494595
Garbage	0.0492614
carpet	0.0489602
"sheet metal"	0.0488922
canvas	0.0488094
cotton	0.0487085
turf	0.0485231
"palm oil"	0.0480301
lawn	0.0479524
weed	0.0476154
drywall	0.047239
flooring	0.0471478
"diesel fuel"	0.0471369
"terra cotta"	0.0468959
kerosene	0.0468502
shingle	0.0466136
ash	0.0465173
ore	0.0463738
silk	0.0463614
pigment	0.0457998
moisture	0.0456498
petrol	0.0456324
sandbag	0.0456003
Liquid	0.0455919
"vegetable oil"	0.0455612
levee	0.0452307
textile	0.0450846
Copper	0.0450793
topsoil	0.0449968
girder	0.0449766
Firewood	0.0449491
"raw material"	0.0448355
salt	0.0448193
farmland	0.0445569
lime	0.0445526
hardwood	0.0444314
lacquer	0.0443052
mineral	0.0442223
"packing material"	0.044157
pipe	0.044013
newsprint	0.0439601
adhesive	0.0437814
petroleum	0.0437608
pesticide	0.0437238
tubing	0.0436164
lard	0.0435735
foodstuff	0.0435049
"railroad track"	0.0434929
rust	0.0434349
caramel	0.0430205
vegetation	0.0427932
gasoline	0.0427353
ceramic	0.0425931
vegetable	0.0425602
bamboo	0.0424465
Boulder	0.0424342
dough	0.0422819
mattress	0.0421493
sediment	0.0421074
crust	0.0420687
sandstone	0.042031
roadway	0.0419639
wallpaper	0.0419352
"aluminum foil"	0.0417971
sulfur	0.0414865
plutonium	0.0413576
pharmaceutical	0.041331
nylon	0.0412666
potato	0.0412606
machinery	0.0411413
leather	0.041123
honey	0.0409729
tent	0.0407997
urea	0.0407816
"crude oil"	0.0404752
hay	0.0404069
"natural gas"	0.0403056
grime	0.0402299
gauze	0.0401946
Pottery	0.0400317
))
(aspirant (desc 11136.6) (sims
hopefuls	0.163209
contender	0.132109
candidate	0.120143
challenger	0.107425
front-runner	0.107064
nominee	0.102926
frontrunner	0.0982466
congressmen	0.0890481
officeholder	0.0855428
appointee	0.08475
"elected official"	0.0844454
MP	0.0826976
"standard bearer"	0.0819686
contestant	0.0815993
incumbent	0.0788899
candidature	0.0769685
"committee member"	0.074721
"Gary Bauer"	0.074139
frontrunners	0.0733108
parliamentarian	0.0732937
standard-bearer	0.0720948
chairmen	0.071018
"running mate"	0.0699934
"Jack Kemp"	0.0698186
"Elizabeth Dole"	0.0678542
"Steve Forbes"	0.067567
legislator	0.0671772
"Alan Keyes"	0.0662216
"cabinet minister"	0.0661395
bearer	0.0659225
applicant	0.0652816
"Alexander Lebed"	0.064224
candidacy	0.0632092
"Dan Quayle"	0.0628526
stalwart	0.0626298
"Lamar Alexander"	0.0621264
"Dan Lungren"	0.0613961
"cabinet member"	0.0611319
lawmaker	0.0607377
"Guy Millner"	0.0604032
delegate	0.0603807
"Bill Bradley"	0.0603621
"vote counter"	0.0601904
nomination	0.0599126
foe	0.0591878
activist	0.0591221
"council member"	0.0588402
"Arizona Republican"	0.0587163
"political party"	0.0586125
major-leaguers	0.0584062
"political leader"	0.0583778
benefactor	0.0582464
"heir apparent"	0.0578378
quarterfinalists	0.0577799
speechwriter	0.0574323
"Bob Dole"	0.056812
"Joseph Bruno"	0.0564341
"George W. Bush"	0.0563905
"Jim Florio"	0.0562844
"business leader"	0.0559688
claimant	0.0553933
statesmen	0.0551242
"Dick Cheney"	0.0548722
"National Executive Committee"	0.0548249
dignitary	0.0547557
vote-getters	0.0546506
backer	0.0544804
loyalist	0.0543826
"George Bush"	0.0543809
"interest group"	0.0543429
"John Kasich"	0.0541134
second-in-command	0.0540549
"Cuauhtemoc Cardenas"	0.0540364
newcomer	0.053719
Congressman	0.0534668
strategist	0.0534216
"John McCain"	0.053041
"rank and file"	0.0529256
faction	0.0528799
operative	0.0525356
cadre	0.0521869
"church member"	0.0519397
"Trent Lott"	0.0515654
"Pat Buchanan"	0.0515563
Dutchmen	0.0513778
guardsmen	0.0513028
pollster	0.0511434
constituency	0.0510974
treasurer	0.0504038
luminary	0.0502398
crewmembers	0.050178
"government officials"	0.0501023
"Yegor Stroyev"	0.0500327
campaigning	0.0497979
bidder	0.0497762
returnees	0.0496707
attendees	0.049585
successor	0.0495646
underling	0.0495328
All-Americans	0.0494491
"Bob Smith"	0.0491142
entrant	0.0490593
pallbearer	0.0489242
"power broker"	0.0488982
"head of state"	0.0487233
finisher	0.0486308
"Gray Davis"	0.0483704
signees	0.0483277
"board member"	0.0482238
"religious leader"	0.0482202
"Francisco Labastida"	0.0481852
"Yitzhak Mordechai"	0.0480472
defector	0.0480399
Councilors	0.0478848
"Hillary Rodham Clinton"	0.0477747
follower	0.0474244
plaintiff	0.0472763
"New York Republicans"	0.0471359
aspiration	0.0469949
panelist	0.0468504
centrist	0.0468453
"No. @s"	0.0468271
mushers	0.0467363
"major-league team"	0.0466275
participant	0.0465985
lobbyist	0.0465702
combatant	0.0465676
Pretender	0.0464604
crewmen	0.0463311
Quayle	0.0462251
inductees	0.0461479
surrogate	0.0461239
tacklers	0.0460926
renegade	0.0460656
"heavy hitter"	0.045922
sherpas	0.045861
"primary election"	0.0458204
dissenter	0.0457292
hard-liner	0.0456186
"political detainee"	0.0456074
Obasanjo	0.0455437
conferees	0.0454906
"Sonia Gandhi"	0.045483
governorship	0.0454828
"Peter Vallone"	0.0453115
signatory	0.04528
"Al Gore"	0.0452658
"state senator"	0.0452606
commentator	0.0450801
gymnast	0.0450439
starts.	0.045038
co-defendants	0.0449538
by-elections	0.0446676
great-grandchildren	0.0446593
antagonist	0.0446099
"John Hagelin"	0.0446044
dissident	0.0445397
proponent	0.0445241
signer	0.0445026
suitor	0.0444727
congresswoman	0.0444303
Klansmen	0.0443447
"campaign official"	0.0443393
"Jim Kolbe"	0.0442986
manifesto	0.0442778
"Bill Owens"	0.0442294
constituent	0.0442134
swimmer	0.0442023
enlistee	0.0441921
"labor leader"	0.0439932
Arizonan	0.0439725
"Joseph Lieberman"	0.0439028
Councilman	0.0438154
dropout	0.0436714
"Phil Gramm"	0.0436337
vacancy	0.0436131
non-Muslims	0.0435905
"Dennis Hastert"	0.0435577
juror	0.0435366
"staff member"	0.0435326
"Australian Olympic Committee"	0.0434802
"wise man"	0.0434125
"Paul Coverdell"	0.0434039
QBs	0.0434012
elector	0.04339
contributor	0.0432953
negotiator	0.0432784
reformist	0.0431735
"Ralph Nader"	0.0431719
housemates	0.0431609
fund-raiser	0.0431489
"attack dog"	0.0430309
"Pete Wilson"	0.0430196
Olympian	0.0430166
"security adviser"	0.042839
"George Pataki"	0.0428311
Comptroller	0.0428305
"Dick Gephardt"	0.042822
"first lady"	0.0428162
comer	0.0427438
))
(aspiration (desc 38068.6) (sims
wish	0.178592
desire	0.166379
ambition	0.165573
objective	0.112922
ideal	0.112203
dream	0.109681
yearning	0.107182
vision	0.105749
expectation	0.105336
interest	0.104671
hope	0.100434
commitment	0.0987626
principle	0.0972912
determination	0.0941053
intention	0.093673
belief	0.0936155
passion	0.0919492
willingness	0.0916907
spirit	0.0885738
philosophy	0.0863728
struggle	0.0857573
unity	0.0830885
sentiment	0.0827154
potential	0.0822549
well-being	0.0818763
attitude	0.081572
demand	0.0814345
will	0.0813312
feeling	0.0807487
obligation	0.0805412
responsibility	0.0801277
trend	0.079837
achievement	0.0793056
concern	0.0784151
strategy	0.0783565
idea	0.0783484
goal	0.078123
ability	0.0774019
tradition	0.0773903
dignity	0.0769068
agenda	0.0764975
emotion	0.0764594
"basic principle"	0.0762743
longing	0.0761915
integrity	0.0758851
stance	0.0757707
reality	0.0757566
experience	0.0757266
accomplishment	0.0752878
preference	0.0751444
ideology	0.0750588
prerequisite	0.0749269
confidence	0.0746518
quest	0.0744262
norm	0.0743728
concept	0.0743207
policy	0.0742382
value	0.0742144
status	0.0737919
priority	0.0737879
enthusiasm	0.0736856
destiny	0.0735995
resolve	0.0734528
effort	0.0730275
pride	0.0727105
requirement	0.0725063
fundamental	0.0722654
prosperity	0.0722091
wisdom	0.0720343
motivation	0.0720135
perception	0.0719739
anxiety	0.0719114
"human right"	0.0717957
prospect	0.0715802
reputation	0.0712633
frustration	0.0711784
resentment	0.0709362
diversity	0.0706104
standard	0.0705396
self-determination	0.0703017
viewpoint	0.0701138
candidacy	0.0700241
personality	0.069866
heritage	0.069819
plight	0.069585
aim	0.0693483
success	0.0691869
importance	0.0690414
identity	0.0689879
solidarity	0.068809
opinion	0.0686575
endeavor	0.0686401
"foreign policy"	0.0685989
initiative	0.0685581
stability	0.0682681
understanding	0.0680795
talent	0.0680116
optimism	0.0678634
instinct	0.0674512
ego	0.0672209
inclination	0.0672207
impulse	0.0672024
task	0.0671525
courage	0.0669776
mentality	0.0668025
Creativity	0.0666332
faith	0.0663494
culture	0.0663442
patriotism	0.0662369
pretension	0.0660012
participation	0.0657968
progress	0.065572
challenge	0.0655204
conscience	0.0655105
loyalty	0.0653642
"religious belief"	0.065354
ethic	0.0651645
notion	0.0651483
movement	0.0651067
capability	0.0646145
sense	0.0643479
credential	0.064281
qualification	0.0642257
bid	0.0642201
development	0.0641156
opportunity	0.0640954
fantasy	0.063939
characteristic	0.0636885
fear	0.0634551
sovereignty	0.0633965
livelihood	0.0631263
purpose	0.0629917
anger	0.0629852
"point of view"	0.0629588
criteria	0.0625834
resilience	0.0624552
leadership	0.062327
possibility	0.0621959
outlook	0.0621758
strength	0.0620345
skill	0.0620222
taste	0.0620193
"security interest"	0.0619704
love	0.061899
lifestyles	0.0618821
history	0.0617764
future	0.0616667
equality	0.0616621
integration	0.0612857
"hard work"	0.0612459
grievance	0.0610723
freedom	0.0609993
friendship	0.0609657
relationship	0.0608251
situation	0.0607761
significance	0.0606123
happiness	0.0605369
role	0.0604336
hatred	0.0604215
survival	0.0603927
obsession	0.0601547
sensibility	0.0601414
independence	0.0600781
suggestion	0.0600189
appetite	0.0597174
advancement	0.0596942
chance	0.0596185
sincerity	0.0595837
image	0.059267
morale	0.0592028
"public opinion"	0.0591597
reunification	0.0589379
Sacrifice	0.0588624
rivalry	0.0588335
knowledge	0.0588219
respect	0.0587958
"legal right"	0.0587686
tendency	0.058291
nature	0.0582208
proposal	0.0582155
joy	0.0582102
innovation	0.0581675
style	0.0580326
sensitivity	0.0580004
precondition	0.0579228
vitality	0.0577953
striving	0.0577552
theme	0.0576592
habit	0.0576564
reform	0.057291
difficulty	0.0572164
condition	0.057205
nationalism	0.0572001
eagerness	0.0569508
readiness	0.056927
perspective	0.0568763
devotion	0.0567157
sympathy	0.0566802
imagination	0.0563975
competitiveness	0.0563704
))
(aspirin (desc 10912.4) (sims
painkiller	0.179644
Ritalin	0.167507
acetaminophen	0.163616
Tylenol	0.160649
AZT	0.158938
antibiotic	0.137039
pill	0.1299
"sleeping pill"	0.129264
antacid	0.128256
medication	0.128119
methadone	0.126194
ibuprofen	0.123331
Advil	0.122706
Zoloft	0.122343
tamoxifen	0.119633
viagra	0.118074
diuretic	0.11619
vitamin	0.112785
placebo	0.111558
amphetamine	0.102158
estrogen	0.101601
steroid	0.10129
Prozac	0.10037
nevirapine	0.099632
Valium	0.0985682
thalidomide	0.0985392
inhibitor	0.0983078
drug	0.0978552
anti-inflammatory	0.097573
hormone	0.0972509
nicotine	0.0970517
tranquilizer	0.0969731
mifepristone	0.0968196
opiate	0.0965396
morphine	0.0958003
Celebrex	0.0944243
melatonin	0.0937952
anesthetic	0.0925583
laxative	0.0924754
supplement	0.091954
antihistamine	0.0919494
Xenical	0.0916068
"prescription medicine"	0.0914762
medicine	0.0910909
interferon	0.0902439
sedative	0.0895937
therapy	0.0882451
shampoo	0.0880914
nitroglycerin	0.0875084
Vaccine	0.0874657
"vitamin C"	0.0873022
LIPITOR	0.084714
andro	0.0842635
alcohol	0.0840158
contraceptive	0.0827379
creatine	0.0824489
acupuncture	0.0811607
"folic acid"	0.080624
Avonex	0.0805902
ENBREL	0.0805846
caffeine	0.0805579
"vitamin E"	0.0798824
chemotherapy	0.0795609
Rezulin	0.0788433
"prescription drug"	0.078576
inhaler	0.0769639
dosage	0.0769069
mouthwash	0.0764879
ecstasy	0.0764739
GHB	0.0760023
blocker	0.0757256
Calcium	0.0751146
condom	0.0748875
Prilosec	0.0743674
lithium	0.0742679
"laundry detergent"	0.0737324
Phentermine	0.0731256
pesticide	0.0729901
EPO	0.0728105
"St. John's wort"	0.0723058
androstenedione	0.0720997
detergent	0.0718918
chlorine	0.0709913
Propulsid	0.0707369
insulin	0.0705964
penicillin	0.0704237
stimulant	0.0702737
Endostatin	0.0701422
Evian	0.0700912
Relenza	0.0697936
remedy	0.0687949
leptin	0.0685043
marijuana	0.0679148
"lip balm"	0.0677246
"hearing aid"	0.0676708
psychotherapy	0.0667641
ketamine	0.0665879
fluoride	0.0665578
Gatorade	0.0665309
"vitamin A"	0.0665197
Pondimin	0.0659967
tablet	0.0655262
LSD	0.0654007
"wonder drug"	0.0651547
Paxil	0.0649178
MDMA	0.0647816
anesthesia	0.0647686
lozenge	0.0647194
"growth hormone"	0.0641325
RU-@@@	0.063985
booze	0.0638753
echinacea	0.0638608
cannabis	0.0638438
insecticide	0.0635631
PB	0.0633753
Claritin	0.0630515
syringe	0.0628267
herb	0.0627482
prescription	0.0623291
dose	0.0622104
testosterone	0.0620706
cocaine	0.061982
"Dom Perignon"	0.061453
methamphetamine	0.0608717
raloxifene	0.0607014
antioxidant	0.0601955
Propecia	0.0601267
heroin	0.0600974
generics	0.0600858
REPELLENT	0.0600645
narcotic	0.0598107
cyanide	0.0594512
"human growth hormone"	0.0590742
MTBE	0.0590229
substance	0.0588104
vaccination	0.0587545
olestra	0.0584531
"contact lense"	0.0580753
hGH	0.0578765
"essential oil"	0.05745
Herceptin	0.0573302
cigarette	0.0570971
ointment	0.0568323
sunscreen	0.0568139
regimen	0.0562045
diaper	0.0560563
oxygen	0.0558603
iodine	0.0556745
chemical	0.0555622
injection	0.0555162
pharmaceutical	0.0550924
vodka	0.0547313
ketchup	0.0546902
Botox	0.0544573
poison	0.0542475
soap	0.0539554
Seltzer	0.0537857
Chemo	0.0535528
implant	0.053286
potassium	0.0531972
"chewing gum"	0.0531673
bleach	0.0530438
fenfluramine	0.0525941
syrup	0.0525272
"medical instrument"	0.0523482
"physical therapy"	0.0522896
fluid	0.0521208
radiation	0.0517017
TPA	0.0513297
weight-loss	0.05128
tampon	0.0511956
Diet	0.0511511
glucose	0.0508119
acid	0.0508051
fertilizer	0.0506332
Epogen	0.0504443
lotion	0.050434
Zyvox	0.0503143
saline	0.0498955
TCM	0.0495328
toothbrush	0.0492926
"speeding ticket"	0.0491778
protein	0.049177
band-aid	0.0491301
angioplasty	0.0491044
"fatty acid"	0.0489986
"insect repellent"	0.048903
transfusion	0.0486196
ephedrine	0.0484218
Inoculation	0.0482877
kava	0.0482751
cosmetic	0.0478135
bandage	0.0477101
radiotherapy	0.0476985
soy	0.0473934
nutrient	0.0470915
deodorant	0.0469545
lycopene	0.0467588
"hot sauce"	0.0466751
kit	0.0466202
))
(Asprilla (desc 1158.21) (sims
"Faustino Asprilla"	0.162236
Ince	0.156101
"Di Canio"	0.13802
"Stan Collymore"	0.136478
Chevenement	0.134143
Kluivert	0.132274
"Hao Haidong"	0.130793
Anelka	0.125682
"Paolo Di Canio"	0.125629
"Paul Gascoigne"	0.122702
Suker	0.119337
Recchi	0.115459
Laudrup	0.10952
Daigle	0.109163
Lindros	0.105687
Niedermayer	0.105413
Skuratov	0.104749
Audette	0.103313
"Ian Wright"	0.102734
Edmundo	0.101576
Collymore	0.101427
Pippig	0.10059
Baez	0.100441
"Del Piero"	0.100397
Neilson	0.100262
Hindery	0.100122
Gorter	0.0999864
"Teddy Sheringham"	0.0994119
Cowens	0.0990564
Weah	0.0989604
Maradona	0.0984567
Lundberg	0.0984225
"Joe-Max Moore"	0.0982064
Reichel	0.0981482
Gascoigne	0.0977661
Muoneke	0.0969487
Smolinski	0.096781
"David Trezeguet"	0.09589
Sakic	0.0958213
Samuelsson	0.0957497
Perec	0.0956159
Gleason	0.0952597
Salas	0.0950156
Kealy	0.0941975
Gilmour	0.0939991
Etcheverry	0.0937535
Roenick	0.0936954
Primeau	0.0924963
"Christophe Dugarry"	0.0915436
Mattysse	0.0909394
"Maturino Resendiz"	0.090817
Mikhailov	0.0906138
Demaci	0.0904891
Vasile	0.0903268
"Paul Merson"	0.08957
Jayasinghe	0.0894329
Swango	0.0892742
Counsell	0.0890054
Mcbride	0.0885978
Meggett	0.0880118
Vieri	0.0878762
Vialli	0.087841
"De Bruin"	0.0873445
Juninho	0.0872626
hermosillo	0.0871334
Chmura	0.0870344
Bierhoff	0.0868072
Yastrzhembsky	0.0864896
Heinze	0.0864078
"Patrick Kluivert"	0.0863439
Hamid	0.0863186
Kang	0.0857609
Gooden	0.0852795
"Roy Lassiter"	0.0852503
Bergkamp	0.0851837
Grachev	0.0848304
Hendrickson	0.0844165
"Brian Laudrup"	0.0838392
"Diego Maradona"	0.0838237
Lazarenko	0.083703
Bedell	0.0830813
Grbac	0.0830369
Hwang	0.0830272
Schaeuble	0.0828827
Chilavert	0.0828121
Coles	0.0826993
"Carlos Hermosillo"	0.0824759
Yazdi	0.082461
Finkel	0.0824431
Lileikis	0.0823108
"Ziggy Palffy"	0.0823031
Scholes	0.081542
Fabius	0.0814308
"Sinisa Mihajlovic"	0.0810965
"Ryan Kealy"	0.081046
Andreychuk	0.0805352
Nivel	0.0801385
"Raul Diaz Arce"	0.0801135
"Peter Forsberg"	0.0800848
Yosef	0.0799311
Wiatt	0.0798347
Duran	0.0795888
Palffy	0.0792484
nance	0.0792145
Brazill	0.0791768
Penders	0.0791113
Grahame	0.0788235
Patten	0.0785962
Sissi	0.0781197
Warshaw	0.0780648
Kassirer	0.0776366
Bure	0.077541
Marineau	0.0773769
Ritter	0.0773604
Shurmur	0.0772234
Moeller	0.0772112
"Lamond Murray"	0.0769458
Sotomayor	0.076927
Shayler	0.0769071
Meciar	0.0766687
Baerga	0.0763469
Recker	0.0762885
Ershad	0.0762706
Murrell	0.0762435
"El Hage"	0.0761624
Faget	0.0760624
"Nicolas Anelka"	0.0759591
"Pavol Demitra"	0.0759101
"David Beckham"	0.0758632
"Donyell Marshall"	0.0755034
Mendez	0.0753008
Batistuta	0.0752968
"Grant Long"	0.07514
"Keith Van Horn"	0.0751327
Cavallo	0.0750387
Romario	0.074996
Geiger	0.0749424
LeClair	0.0745903
Lobo	0.0745337
Selanne	0.0744864
Sehorn	0.0744369
Lieberthal	0.074328
Guerin	0.0741992
Klinsmann	0.0741457
"Mike Barnicle"	0.0740968
Musa	0.0739767
Isringhausen	0.0738345
Taufik	0.0737884
Duchesne	0.0736669
Limon	0.0736319
Cha	0.0736268
"Ricky Watters"	0.0731665
WARRICK	0.0730004
"Thierry Henry"	0.0729579
Dokmanovic	0.0728572
"Derrick Coleman"	0.072656
Barrasso	0.072632
"Kristine Lilly"	0.0725469
Solis	0.0725314
Beckham	0.0724329
Tomlinson	0.0722834
Protas	0.0721816
Millwood	0.0720532
Flockhart	0.0718708
Kidd	0.0718047
Bakaly	0.071757
Soward	0.0716826
Pfeiffer	0.0713895
Arnett	0.0713805
"Paul Scholes"	0.0712792
Vasquez	0.0711488
Troussier	0.0711209
Dodik	0.0710921
"Kenyon Martin"	0.0709287
Nedved	0.0708364
Slaney	0.0708207
"Hernan Crespo"	0.0708189
ALLISON	0.0706945
Gant	0.0706709
Loretta	0.0706676
Kovacevic	0.0706403
Nasrallah	0.0705342
Barrionuevo	0.070491
"Shannon MacMillan"	0.0704053
Stayner	0.0703298
"Ante Razov"	0.0703196
Dunlap	0.0702817
"Sang Lan"	0.0702493
"Tore Andre Flo"	0.0702408
Ortega	0.0700722
Hollins	0.0700714
Deane	0.0698628
"Alessandro Del Piero"	0.0698361
Cirillo	0.0697863
Bhutto	0.0697774
"Pierre Turgeon"	0.0697678
Wannstedt	0.069692
Boyle	0.0696233
"Larry Dierker"	0.0696003
"Richard Jefferson"	0.0695898
))
(ass (desc 4510.59) (sims
butt	0.174205
"rear end"	0.123192
bleep	0.0980004
backside	0.09066
expletive	0.0843837
tail	0.0762998
bastard	0.0761581
posterior	0.0692893
behinds	0.0668396
slob	0.0631866
fanny	0.0625404
gung-ho	0.0618508
"boxing glove"	0.0614872
"guardian angel"	0.0586348
gook	0.0573605
crap	0.0573205
idiot	0.0570059
boob	0.0568657
nigger	0.0562415
Gaither	0.054857
derriere	0.0534981
clicker	0.0520377
adrenalin	0.0507837
"old lady"	0.0503957
swinger	0.0497644
antsy	0.049537
Asprilla	0.0489752
blinder	0.0486652
birdbath	0.0486313
egomaniac	0.0481329
surfboard	0.0470292
"electric bill"	0.0467487
"spark plug"	0.0466692
Rolodex	0.0466537
Matasareanu	0.0461365
"mind's eye"	0.0460787
dude	0.0459862
poodle	0.0459649
harder	0.0459538
typist	0.0457873
bitch	0.0457675
potty	0.0457076
grandkids	0.0454909
inquisitor	0.0452294
em	0.0452073
raver	0.0444728
"first match point"	0.0442635
gum	0.0440698
"folding chair"	0.0440603
nightgown	0.0440594
jock	0.0438407
froth	0.0438105
"water cooler"	0.043737
"water buffalo"	0.0433589
Dumpsters	0.0432852
clothes	0.0431742
remotes	0.04302
Uzi	0.0428564
"bowling ball"	0.0427946
"ball club"	0.0427026
toenail	0.0426862
curveball	0.0426672
yak	0.0425884
monkey	0.0425268
whisker	0.0422744
changeup	0.0422507
bum	0.0420502
geezer	0.0420253
hump	0.0419727
goose	0.0415534
lookin	0.0415485
"alarm clock"	0.0414987
"breaking ball"	0.041338
eardrum	0.0412956
wimp	0.0412888
scooter	0.0412079
"frame of reference"	0.0410959
"Tim Dwight"	0.0409751
"little girl"	0.0408973
pajama	0.0408968
buttock	0.0408624
bloke	0.0406351
"big sister"	0.0404566
prognostication	0.0402724
"trash can"	0.0402212
returner	0.0402102
one-hopper	0.0401941
carport	0.0401773
easel	0.0401455
"fly rod"	0.0400539
))
(Assab (desc 1617.65) (sims
Durres	0.160055
Salonica	0.156123
Trincomalee	0.14083
Larnaca	0.14008
Kismayu	0.137598
Gdansk	0.134697
Vlore	0.132663
Mtwara	0.131297
Limassol	0.124882
Aqaba	0.123896
Sihanoukville	0.122225
Matadi	0.120499
Murmansk	0.112479
Eilat	0.11151
Ensenada	0.10995
Beira	0.107617
Kaohsiung	0.10698
Sevastopol	0.104504
Decani	0.103871
Galle	0.102232
Asmara	0.101966
Limon	0.100864
Dubrovnik	0.100206
Merca	0.0981896
Inchon	0.0967969
Badme	0.0953697
Basra	0.0941739
Thessaloniki	0.0936355
Balboa	0.0932401
Haifa	0.0927189
Pusan	0.0926697
Acapulco	0.0917045
Chittagong	0.0911543
Manta	0.0908836
Trieste	0.0908733
Jalalabad	0.0891778
Malaga	0.0883808
Algiers	0.088227
Taloqan	0.0872112
"Guatemala City"	0.0871622
Jeddah	0.086728
Kigoma	0.0858923
Odessa	0.0857708
"Far Eastern"	0.0857227
Vladivostok	0.08557
Cartagena	0.0855368
Piraeus	0.085385
Bushehr	0.0851527
Paranthan	0.0851036
"Surat Thani"	0.0850159
Zhangjiagang	0.0836633
Mombasa	0.0834164
Toulon	0.0833086
Aden	0.0827248
Calais	0.0826994
Sidon	0.0819955
Nogales	0.0799409
Kisumu	0.0782741
Paphos	0.0779424
Valdez	0.0775432
Phuket	0.0773388
Qinhuangdao	0.0768156
Manado	0.0765205
Djibouti	0.0759804
Durban	0.0755194
Beihai	0.0754431
Dushanbe	0.0752397
Izmir	0.0751639
Baidoa	0.0745294
Brunswick	0.0741798
Dili	0.0739851
Makhachkala	0.073714
Lhokseumawe	0.0730866
Mankulam	0.0730636
PATNA	0.0730242
Marjayoun	0.0728337
Bamiyan	0.0728249
"Red Hook"	0.0724482
"Montego Bay"	0.0724303
Kalemie	0.072408
Cebu	0.0722818
Kitona	0.0720583
Calcutta	0.0720459
Ashkelon	0.0717462
Guayaquil	0.0711235
Kilinochchi	0.0710053
Golcuk	0.0704233
Merida	0.0704186
FireWire	0.0700786
Kuito	0.0695935
Hyderabad	0.0695373
Yerevan	0.0690579
Mosul	0.0686995
Quito	0.0682888
Uvira	0.0682872
Antalya	0.0680594
Redding	0.0676781
"Dead Sea"	0.0673307
Tapachula	0.0673257
Lianyungang	0.0672163
MAPUTO	0.0671552
Yokohama	0.0669286
SANAA	0.0669041
Valparaiso	0.0668454
Tripoli	0.0665888
"Sea Launch"	0.0664753
Podujevo	0.0663195
Dover	0.0662579
Veracruz	0.0662138
Srinagar	0.0660139
Chennai	0.0657929
Roanoke	0.0650519
Alexandria	0.065051
Kismaio	0.064868
Shiraz	0.0644854
Hyannis	0.0644319
"Universal Serial Bus"	0.0644019
Wenzhou	0.064236
"San Juan"	0.0637657
"Charles de Gaulle"	0.0636795
"five key"	0.0636065
Suez	0.0634895
Bujumbura	0.0629878
Huambo	0.062563
Ceyhan	0.0624503
Bukavu	0.0624191
Bengkulu	0.0621782
Stansted	0.0620625
Jinzhou	0.0616516
Binghamton	0.0616435
Marseilles	0.0615019
Port-au-Prince	0.0614492
Dunkirk	0.0614353
Salvador	0.0607653
Gulu	0.0607114
Gaulle	0.0603887
Moro	0.0602338
Zhanjiang	0.0598612
Salonika	0.0596577
"Grand Forks"	0.0595744
"Beibu Gulf"	0.0593767
Rotterdam	0.0591343
Sanya	0.0589058
Urosevac	0.0586492
"Congo River"	0.0584301
Rostock	0.058257
"San Pedro Sula"	0.0582006
Cienfuegos	0.0580968
"San Salvador"	0.05799
"Key West"	0.0579616
Luanda	0.0576155
Dar	0.0575232
Mwanza	0.0570848
Goma	0.0569806
Medan	0.0568237
Tacoma	0.0567436
el-Sheikh	0.0565867
ASHEVILLE	0.0563692
Utica	0.0559957
Haikou	0.0559164
Baku	0.0559097
Davao	0.0554861
Lahore	0.0552083
"Corpus Christi"	0.0545302
Plattsburgh	0.0543148
Quetta	0.0541538
Sochi	0.0541426
Brazzaville	0.0540567
"Ocean City"	0.0539603
Tanga	0.0539202
Bellingham	0.0539012
"Algerian capital"	0.0538201
Malacca	0.0537802
Entebbe	0.053681
"Port Said"	0.0534949
"Banja Luka"	0.053447
Dandong	0.0528823
Catania	0.0528712
"Lake Tanganyika"	0.0527666
Halifax	0.0524229
"Grand Junction"	0.0523483
Mazar-i-Sharif	0.052316
Vientiane	0.052292
"Suva Reka"	0.0521005
Yantai	0.0520348
Flagstaff	0.0518603
SCSI	0.0517605
Managua	0.0517446
Pudong	0.0516087
"Sao Paulo"	0.05156
Bangor	0.0515429
Honiara	0.0515132
"CHIANG MAI"	0.0513807
Oro	0.0512129
Galveston	0.0509122
Mazar-e-Sharif	0.0508992
CANCUN	0.0508375
Monrovia	0.0506618
"Sinai Peninsula"	0.0504291
Cali	0.0501447
))
(Assad (desc 22617.9) (sims
al-Assad	0.28372
Hussein	0.197146
"King Hussein"	0.193035
Mubarak	0.18429
Arafat	0.174775
Chirac	0.160214
"Hafez Assad"	0.153375
Yeltsin	0.149303
Demirel	0.147435
Mandela	0.146425
Lahoud	0.143836
Abdullah	0.139961
Obuchi	0.139026
Nyerere	0.138998
"Jordanian King Hussein"	0.13817
Hassan	0.137627
al-Sharaa	0.137142
Barak	0.135752
Netanyahu	0.135139
Peres	0.134738
"President Hafez Al-Assad"	0.134009
Bashar	0.132604
Moi	0.131826
Primakov	0.128762
"Binyamin Netanyahu"	0.128198
Gaddafi	0.127291
Wahid	0.12671
Hariri	0.124734
Sharaa	0.123559
Blair	0.122873
"King Abdullah"	0.122338
Mbeki	0.122335
"Ehud Barak"	0.121675
Albright	0.12142
Abacha	0.120451
Mugabe	0.120209
Menem	0.119187
Sharif	0.11918
Weizman	0.119111
Gadhafi	0.118581
Annan	0.117595
"Benjamin Netanyahu"	0.117588
Khaddam	0.117528
"King Fahd"	0.117328
Prodi	0.116543
Saleh	0.116089
Putin	0.115969
Vajpayee	0.115788
Clerides	0.115316
Tudjman	0.115209
Moussa	0.115197
Milosevic	0.113324
"Bashar Assad"	0.113178
Lukashenko	0.113076
Saddam	0.112156
Habibie	0.112144
Mahathir	0.111868
"King Hassan II"	0.110887
Sihanouk	0.110109
Mordechai	0.110011
Khatami	0.109323
Shareh	0.109089
Deng	0.108689
Jiang	0.108559
Kohl	0.107576
Aziz	0.107565
"Keizo Obuchi"	0.1075
Museveni	0.106792
"Atal Bihari Vajpayee"	0.106292
Abubakar	0.105964
Estrada	0.105959
al-Bashir	0.105921
Kabariti	0.105498
Kuchma	0.105395
Nazarbayev	0.105299
Obasanjo	0.105116
"Dalai Lama"	0.10449
Shara	0.104095
Rafsanjani	0.103656
Kim	0.103453
"Yasser Arafat"	0.103342
Castro	0.102982
Luong	0.102889
"Hosni Mubarak"	0.102718
Hashimoto	0.102352
emir	0.101006
Holbrooke	0.100857
"Tony Blair"	0.100844
Jospin	0.100617
Chernomyrdin	0.100608
"Costas Simitis"	0.10055
Schroeder	0.100247
Rugova	0.0993816
Mobutu	0.0991583
Clinton	0.0990766
Nujoma	0.0990574
Zedillo	0.0982533
Fujimori	0.09811
al-Shara	0.0974661
Pastrana	0.097139
"Hun Sen"	0.096659
"Kofi Annan"	0.0964359
Soeharto	0.0958545
Mkapa	0.0956644
"Boris Yeltsin"	0.0953869
Denktash	0.0952018
Samaranch	0.0951844
Zhu	0.0948362
Kabila	0.0947658
Chretien	0.0947347
Ecevit	0.0942863
Simitis	0.0941882
"Fidel Castro"	0.0940347
Dudayev	0.0939885
pope	0.0938604
"Rafik Hariri"	0.0936039
Cohen	0.0934459
Kok	0.0929822
"Romano Prodi"	0.092615
Qian	0.0924267
Havel	0.0923928
"Jordanian King Abdullah Bin Hussein"	0.0919486
D'Alema	0.0919289
Daley	0.0914186
Solana	0.0909673
Nzo	0.0908379
"Vladimir Putin"	0.0908367
"Meles Zenawi"	0.0906379
"Viktor Chernomyrdin"	0.090414
Kabbah	0.0898028
Stoyanov	0.0890378
Sharon	0.0887989
Vedrine	0.0887405
Meles	0.0887007
"Yoshiro Mori"	0.0886298
DiMaggio	0.0885366
Talbott	0.0885059
"Mahathir Mohamad"	0.0884294
Tung	0.0883788
Bashir	0.0882331
"Nawaz Sharif"	0.0880073
Chiluba	0.0878032
Musharraf	0.0877464
Majali	0.0877335
"Ryutaro Hashimoto"	0.0875014
"Saudi King Fahd Ibn Abdul-Aziz"	0.0872088
Komura	0.0871059
Rabin	0.0870724
Fahd	0.0870142
"Yevgeny Primakov"	0.0869066
Ahtisaari	0.0868801
"Chuan Leekpai"	0.0868651
Hrawi	0.0868372
monarch	0.0867455
Hasina	0.0866871
Ross	0.0865424
"Pope John Paul II"	0.0864076
Christopher	0.0862237
Kiriyenko	0.0860965
"William Cohen"	0.0860527
Syrian	0.0860434
Kinkel	0.0860396
"Mahmoud Zouebi"	0.0859087
Fischer	0.0858049
"Kim Jong Il"	0.0857461
Kharrazi	0.0851975
Chavalit	0.0847802
Wolfensohn	0.0847496
Kennedy	0.0847093
Suharto	0.084668
Zeroual	0.0843379
Mitterrand	0.0839655
"secretary of state"	0.0838552
pontiff	0.083688
Chancellor	0.0835402
Hoffa	0.0834463
Herzog	0.0831936
king	0.0830514
Rakhmonov	0.0829288
"John Howard"	0.0827854
"President Kim Dae-jung"	0.0825559
Shevardnadze	0.0824786
Constantinescu	0.0824379
Rabbani	0.082298
Aznar	0.0821852
Reno	0.082163
"Abidine Ben Ali"	0.0820655
Syria	0.0819966
"foreign minister"	0.0819159
"John Paul"	0.0818977
"Li Peng"	0.0818887
Trudeau	0.0816949
Buyoya	0.0815591
"King Sihanouk"	0.0815552
"Princess Diana"	0.0813787
Premier	0.081369
Sergeyev	0.0812602
Trimble	0.0812399
Chissano	0.0812297
"Jacques Chirac"	0.0812076
))
(assailant (desc 17544.7) (sims
attacker	0.282022
gunmen	0.245789
gunman	0.244769
robber	0.222216
Hijacker	0.179648
intruder	0.165535
kidnapper	0.162174
bandit	0.161843
militant	0.148901
sniper	0.14784
abductor	0.142758
rioter	0.142369
suspect	0.136853
militiamen	0.135858
policemen	0.135531
assassin	0.131858
Killer	0.130088
gangster	0.129905
terrorist	0.129588
perpetrator	0.125066
burglar	0.120022
extremist	0.118125
arsonist	0.116498
thug	0.115848
soldier	0.114901
guerrilla	0.114528
murderer	0.112739
policeman	0.111066
"robbery suspect"	0.108646
hostage-takers	0.10606
captor	0.105966
Sarsour	0.105325
bomber	0.105033
Rapist	0.104909
"police officer"	0.104896
poacher	0.103983
rebel	0.103034
accomplice	0.102014
"Eric Harris"	0.101751
commando	0.101656
trooper	0.101595
tribesmen	0.100198
Klansmen	0.0989277
"white man"	0.0987766
paramilitary	0.0980944
"drug dealer"	0.0976089
hooligan	0.0975594
protester	0.0975365
smuggler	0.0975325
supremacist	0.0973887
gang	0.0970809
looter	0.0966244
thief	0.0962816
TORTURER	0.0945197
criminal	0.0941228
rustler	0.0941174
mob	0.0939173
infiltrator	0.0937118
shooter	0.093611
vigilante	0.0930806
vandals	0.0928881
skinhead	0.0921317
officer	0.0909567
demonstrator	0.0899429
"young man"	0.0896766
escapee	0.0891251
"federal agent"	0.0889624
"prison guard"	0.088533
culprit	0.0885264
guardsmen	0.0883833
settler	0.0872225
mugger	0.0870556
schoolmate	0.0869935
"security guard"	0.0868235
exboyfriend	0.0867757
"Eric Rudolph"	0.086416
Serbs	0.0860847
"serial killer"	0.0855387
Baumhammers	0.0855317
Palczynski	0.0854208
"drug trafficker"	0.0845099
Resendez-Ramirez	0.0843471
inmate	0.0841063
bodyguard	0.0837247
insurgent	0.0835916
stone-throwers	0.0834467
"crew member"	0.0824328
separatist	0.0814504
conspirator	0.0812293
trafficker	0.0811851
Ashbrook	0.0809335
"security force"	0.0803338
furrow	0.0799401
militiaman	0.0797551
Barton	0.0796795
motorcyclists	0.0794376
teen-ager	0.0793887
Agca	0.0792729
"Dylan Klebold"	0.0792383
youth	0.0789315
fighter	0.077475
defendant	0.0773524
protestor	0.0773235
guerilla	0.077038
neo-Nazis	0.0768497
Davidians	0.0759706
servicemen	0.0757399
fugitive	0.0757315
crewmen	0.0753114
shoplifter	0.0746494
"military man"	0.0744957
serviceman	0.0743778
"Eric Robert Rudolph"	0.0743095
ringleader	0.0742382
firemen	0.0741784
villager	0.074101
wrongdoer	0.0740002
Vandal	0.073996
civilian	0.0739937
hacker	0.0739367
"intelligence agent"	0.0736891
Pakistani	0.0735021
"army officer"	0.0732733
soliders	0.073198
occupant	0.0731631
"military police"	0.0726215
Serb	0.0723261
Gurule	0.0723051
"military officer"	0.071865
boyfriend	0.0718383
"Rafael Resendez-Ramirez"	0.0717558
Papon	0.0716273
"car bomb"	0.0713605
hoodlum	0.0712622
raider	0.0712332
bystander	0.0711993
classmate	0.0710784
radical	0.0710415
deserter	0.0707552
Albanian	0.070646
Bolshevik	0.0704112
Kamajors	0.0703063
Rudolph	0.0699913
guard	0.0699345
detainee	0.0698808
Klebold	0.0698157
"secret agent"	0.0697146
prisoner	0.0696857
"Ethnic Albanians"	0.0694962
Vasquez	0.0692561
"murder suspect"	0.0690949
felon	0.0688623
Cop	0.0685095
crewmembers	0.0684229
squatter	0.0682425
miscreant	0.067779
troop	0.067673
fundamentalist	0.0672175
militia	0.066987
stowaway	0.0669036
tribesman	0.0665077
"Lee Harvey Oswald"	0.066437
"black man"	0.0664177
aggressor	0.0663889
wounded	0.0663202
"drug lord"	0.0662879
"FBI agent"	0.0660767
sailor	0.0654478
comrade	0.0653803
lawbreaker	0.0653686
dissident	0.0651877
"Abu Sayyaf"	0.0650799
anarchist	0.0647575
Sergeant	0.0647253
accused	0.0644144
bomb	0.0641156
"National Guardsmen"	0.0638809
Libyan	0.0638629
Dorismond	0.0638525
"truck driver"	0.0635931
airmen	0.0635298
marcher	0.0634734
hitchhiker	0.0634009
stalker	0.0633867
Stealers	0.0633595
"Russell Peeler"	0.0633196
marine	0.0631217
KLA	0.0630177
activist	0.0627388
spy	0.0627255
Dutchmen	0.0623444
abuser	0.0623106
mobster	0.0620636
saboteur	0.0620126
agent	0.061801
Laden	0.0617747
teenager	0.0616606
"firing squad"	0.0616422
"American plane"	0.0615368
offender	0.0615069
))
(Assam (desc 3883.44) (sims
Orissa	0.357296
"Madhya Pradesh"	0.331557
Kerala	0.326155
Karnataka	0.280894
"West Bengal"	0.278049
"Tamil Nadu"	0.278045
"Uttar Pradesh"	0.275907
Maharashtra	0.272622
Bihar	0.270019
Haryana	0.269068
"Andhra Pradesh"	0.266571
Rajasthan	0.237446
"Himachal Pradesh"	0.21803
Punjab	0.214848
Gujarat	0.188592
"Lower Saxony"	0.101245
Jalisco	0.0958941
Michoacan	0.0945891
Antioquia	0.0884734
Sarawak	0.0877469
Tamaulipas	0.0851668
Morelos	0.0819022
Hesse	0.081451
Sinaloa	0.0803489
Bahia	0.0798764
"Minas Gerais"	0.0784912
Lucknow	0.0784165
Oaxaca	0.0769992
Sabah	0.0727588
Bengal	0.0717354
Chiapas	0.0713199
Kelantan	0.0706865
"Baja California"	0.0693263
Tasmania	0.0681271
Kashmir	0.0677582
Jammu	0.0676128
Kedah	0.0670324
Sindh	0.0663366
"Western Australia"	0.0659347
Delhi	0.0654129
"Quintana Roo"	0.0647462
Saxony	0.0645543
Putumayo	0.0638026
Srinagar	0.0631096
Brandenburg	0.0585555
Queensland	0.0581155
Bangalore	0.0577675
Guanajuato	0.0568275
"New South Wales"	0.0567303
Daghestan	0.0564672
Zacatecas	0.0563018
"South Vietnam"	0.0556771
chihuahua	0.0554576
Tigray	0.054865
Bavaria	0.0546607
Dagestan	0.0542504
"Damascus Declaration"	0.0536224
Enugu	0.0532093
Durango	0.0515551
Veracruz	0.0511073
Abkhazia	0.0508931
Edo	0.0508411
"South Australia"	0.0503025
"Manila Bay"	0.0498637
Aceh	0.049534
"Northern Province"	0.0494923
Puebla	0.0494807
Kano	0.0493678
"Eastern Province"	0.0492644
Sonora	0.0490011
Suva	0.0482816
Santander	0.0478934
"South Dakota"	0.0476558
Pradesh	0.0475196
Pahang	0.0472476
Selangor	0.0470187
"Irian Jaya"	0.0464344
Mindanao	0.0461839
SAARC	0.0460538
governorate	0.0456094
"North Caucasus"	0.0455184
Perak	0.0446735
Guerrero	0.0440082
confederacy	0.0439645
Forty-four	0.0439571
Niger	0.0438668
"Bible Belt"	0.0437913
Tabasco	0.0436484
Eschede	0.0430807
"government minister"	0.0425041
Malawi	0.0424405
Kaduna	0.0419003
"Great Plains"	0.0415679
Kurdistan	0.0414522
"Pulau Pinang"	0.0414204
"Warsaw Pact"	0.0412391
Tajikistan	0.041202
Chad	0.0411577
Kaliningrad	0.0409748
"Mojave Desert"	0.0408523
"Ivory Coast"	0.0404197
Jolo	0.0403608
"North West Frontier Province"	0.0402435
))
(assassin (desc 18342) (sims
gunman	0.143987
robber	0.142852
assailant	0.131858
murderer	0.131508
Killer	0.126991
attacker	0.118424
gunmen	0.109833
terrorist	0.109755
sniper	0.100885
"drug dealer"	0.100336
Rapist	0.0995769
"Yigal Amir"	0.0990169
arsonist	0.0967623
burglar	0.0948384
bandit	0.0938637
poacher	0.0923662
criminal	0.0918805
"serial killer"	0.0915013
thief	0.09096
kidnapper	0.0909476
gangster	0.0903633
smuggler	0.0885298
looter	0.0881638
thug	0.0853989
bomber	0.0822002
perpetrator	0.0816673
extremist	0.0815351
abductor	0.0813603
spy	0.0808514
HITMAN	0.079996
"drug trafficker"	0.0795978
"hit man"	0.0791584
trafficker	0.0783529
intruder	0.0776043
Hijacker	0.0773948
assassination	0.0763763
"child molester"	0.0754097
TORTURER	0.0739487
"Lee Harvey Oswald"	0.0735285
wrongdoer	0.0733662
hacker	0.0720506
"drug lord"	0.0720099
conspirator	0.0711294
hoodlum	0.0709936
bodyguard	0.0703199
"Angel Maturino Resendiz"	0.070239
rioter	0.0693579
policeman	0.0691439
militant	0.0675167
forger	0.0668878
mercenary	0.0656629
Unabomber	0.0648998
perjurer	0.0648633
vandals	0.0648516
fugitive	0.0641449
gang	0.0632451
"war criminal"	0.0632278
stalker	0.0629564
commando	0.0617553
guerrilla	0.0611801
accomplice	0.06108
saboteur	0.0608457
soldier	0.0607079
paramilitary	0.060294
abuser	0.060189
provocateurs	0.0601379
ringleader	0.0601337
captor	0.0592646
mugger	0.0586272
pedophiles	0.0583833
"robbery suspect"	0.0581525
"intelligence agent"	0.0572778
policemen	0.0572559
pickpocket	0.0570994
"white man"	0.0570807
Nazi	0.0569966
snakehead	0.0564151
plotter	0.0562951
operative	0.0560482
offender	0.0559695
escapee	0.0557783
counterfeiter	0.0557052
blackmailer	0.0556966
felon	0.0555756
shooter	0.055497
Papon	0.05546
mastermind	0.055405
"police officer"	0.0553429
kingpin	0.0552653
racketeer	0.0550463
hooligan	0.0550457
Cop	0.054979
collaborator	0.0548563
Hunter	0.0547144
culprit	0.0541642
"secret police"	0.0541075
"Eric Rudolph"	0.0540095
"young man"	0.0536497
swindler	0.0532146
militiamen	0.0528717
enemy	0.0527156
tacklers	0.0522716
Martorano	0.0521948
Raduyev	0.051868
neo-Nazis	0.0517724
mob	0.0515945
servant	0.0513018
"murder suspect"	0.0512019
skinhead	0.0510041
"truck driver"	0.0508211
rustler	0.0504532
informer	0.0503498
trooper	0.0499847
exboyfriend	0.0499236
mobster	0.0497215
fighter	0.0495826
miscreant	0.0495406
supremacist	0.0493219
crony	0.0493097
tyrant	0.0492223
fundamentalist	0.0491647
"security force"	0.0490649
sailor	0.0488389
McVeigh	0.0483282
aggressor	0.0482927
teen-ager	0.0481619
"secret agent"	0.0481471
troublemaker	0.0480529
pedophile	0.0478554
"con man"	0.0476943
"undercover agent"	0.0476595
liar	0.0476518
"prison guard"	0.0476414
"Rafael Resendez-Ramirez"	0.0473662
"bad guy"	0.0472994
hostage-takers	0.0472711
racist	0.0470375
"Eric Harris"	0.0470045
traitor	0.0470043
guardsmen	0.0469687
"military officer"	0.0468724
furrow	0.0468438
anarchist	0.0467605
"Irish Republican Army"	0.0467343
Barton	0.0466056
dissident	0.0465692
marauder	0.04648
radical	0.0464536
Ashbrook	0.0463996
"FBI agent"	0.0463884
scum	0.0463205
alien	0.0461962
Klansmen	0.0461823
adulterer	0.0461343
photographer	0.0460105
fascist	0.0459968
bully	0.0459835
"young woman"	0.0459772
protester	0.0457933
infiltrator	0.0457908
Libyan	0.0455612
guerilla	0.04552
deserter	0.0454152
dictator	0.0453136
launderers	0.0452744
predator	0.0451474
prisoner	0.0450814
henchmen	0.0448578
appointee	0.0448405
informant	0.0447905
"security guard"	0.0447316
Agca	0.0446618
widow	0.0446556
"Maturino Resendiz"	0.0446094
priest	0.0445688
"black man"	0.0445435
vigilante	0.0443255
"Iranian Jews"	0.0443253
manipulator	0.0442693
Lieutenant	0.0441775
zealot	0.0440539
"car bomb"	0.0440176
fanatic	0.0440066
juvenile	0.0440061
crook	0.0439688
"army officer"	0.0439
Hezbollah	0.0438708
schoolmate	0.0438242
detective	0.0436193
lover	0.0432441
accused	0.0431283
inmate	0.0430234
boss	0.0429657
sympathizer	0.042886
prostitute	0.0428773
clown	0.04278
defendant	0.0427642
Stayner	0.0426912
lawbreaker	0.0426661
"private investigator"	0.0426416
))
(assassination (desc 50931.2) (sims
killing	0.232893
murder	0.225921
slaying	0.22499
kidnapping	0.204847
abduction	0.182063
massacre	0.178911
bombing	0.175235
hijacking	0.15853
Death	0.150287
robbery	0.148065
shooting	0.14637
attack	0.14257
rape	0.14238
disappearance	0.141311
genocide	0.136841
coup	0.135004
arrest	0.132848
"armed robbery"	0.126476
arson	0.126162
theft	0.123476
raid	0.123007
incident	0.12116
beating	0.11993
torture	0.119653
atrocity	0.119021
"coup attempt"	0.118182
"bomb blast"	0.117852
assault	0.117428
crime	0.117125
Execution	0.114697
violence	0.113151
abuse	0.110815
explosion	0.11058
riot	0.109799
ambush	0.107545
terrorism	0.106959
sabotage	0.105283
crash	0.104638
suicide	0.103901
burglary	0.102648
invasion	0.102137
extortion	0.100806
conspiracy	0.100126
capture	0.0995625
homicide	0.0992418
persecution	0.0991866
"sexual assault"	0.0983902
tragedy	0.0983175
slaughter	0.0961037
firing	0.0959523
scandal	0.0956908
blast	0.0956399
harassment	0.0955579
looting	0.0954147
accident	0.0953619
"war crime"	0.0951762
expulsion	0.0946419
break-in	0.0933488
mutiny	0.0933087
deportation	0.0927152
"drive-by shooting"	0.0924491
plot	0.0913364
bribery	0.0907046
fraud	0.0905521
hostage-taking	0.0905376
espionage	0.0894609
resignation	0.0893322
"mass murder"	0.0892324
rioting	0.0882939
unrest	0.0882295
crackdown	0.087527
"drug trafficking"	0.0869879
uprising	0.0868784
destruction	0.0865498
detention	0.0859066
repression	0.0857167
corruption	0.0854555
funeral	0.0851034
vandalism	0.084867
collapse	0.0847289
act	0.0843054
overthrow	0.0836409
aggression	0.0834242
takeover	0.0827746
holdup	0.0825233
bloodshed	0.0819001
Dismissal	0.0818368
ouster	0.0815863
brutality	0.0815431
heist	0.0813649
"car bomb"	0.0807328
earthquake	0.0806807
escape	0.080408
intimidation	0.0801
disaster	0.0793607
rampage	0.0792806
war	0.0792637
clash	0.0789677
attempt	0.0782975
smuggling	0.0781256
violation	0.0781016
outbreak	0.077937
cleansing	0.0774887
action	0.0773191
involvement	0.0770259
embezzlement	0.0765782
strike	0.0764856
assassin	0.0763763
blackmail	0.0757284
defection	0.0756744
seizure	0.0755357
cover-up	0.0748299
rebellion	0.074805
wrongdoing	0.0747218
activity	0.0741479
election	0.0738726
debacle	0.072478
mutilation	0.072446
terror	0.0723424
subversion	0.072087
shelling	0.0719504
incursion	0.0718716
"air raid"	0.0712852
demonstration	0.0712737
"money laundering"	0.0706781
purge	0.0706018
lynching	0.070433
poisoning	0.0704284
holocaust	0.0703351
investigation	0.0703313
failure	0.0699213
irregularity	0.0691432
Collision	0.0688936
disturbance	0.0688488
revolt	0.0686897
airstrikes	0.0686753
misconduct	0.0685444
allegation	0.068533
scam	0.0685254
demise	0.068154
"insider trading"	0.0681406
divorce	0.0677349
spree	0.067725
Watergate	0.0675623
"corruption scandal"	0.0675172
case	0.0674685
catastrophe	0.0673588
indictment	0.0670483
trial	0.0669179
defeat	0.0665402
misdeed	0.066423
trafficking	0.0664018
upheaval	0.0660928
protest	0.06602
stabbings	0.065931
"military action"	0.0658147
leak	0.065594
mishap	0.0652287
spate	0.0651953
spying	0.0650693
burnings	0.0649923
treason	0.0649338
breakup	0.0647251
"civil war"	0.0647035
confrontation	0.0643533
piracy	0.06417
Acquittal	0.0641387
infiltration	0.0640403
"child abuse"	0.063806
scheme	0.0636954
conflict	0.063603
devaluation	0.0635723
brawl	0.063335
spill	0.0633063
sacking	0.0631874
racketeering	0.0630359
departure	0.0628657
arrival	0.0625757
"sudden death"	0.062386
imprisonment	0.0623476
accusation	0.0621964
mayhem	0.0618638
fighting	0.0617693
infidelity	0.0616421
molestation	0.061634
threat	0.0615429
provocation	0.0614319
turmoil	0.061399
sodomy	0.0612589
"air attack"	0.0612205
intervention	0.0611664
bomb	0.0610917
bombardment	0.0610582
appointment	0.0609705
conviction	0.0608376
eruption	0.0607642
manipulation	0.0605951
forgery	0.0604521
"election fraud"	0.0603544
affair	0.0603103
))
(assault (desc 102709) (sims
attack	0.261521
robbery	0.199247
raid	0.198671
rape	0.195249
kidnapping	0.192804
murder	0.188148
"sexual assault"	0.184151
burglary	0.180712
theft	0.180071
killing	0.169274
offensive	0.163924
harassment	0.163896
bombing	0.163845
arson	0.163814
"armed robbery"	0.159416
abuse	0.158578
manslaughter	0.156295
crackdown	0.152466
conspiracy	0.15234
crime	0.152173
massacre	0.147909
violence	0.145767
homicide	0.145756
"air attack"	0.144617
violation	0.141775
extortion	0.141312
torture	0.140624
felony	0.140478
beating	0.14042
bombardment	0.136505
fraud	0.136456
"air raid"	0.135504
hijacking	0.13516
aggression	0.133667
abduction	0.133338
"assault and battery"	0.130804
shooting	0.1306
invasion	0.130433
siege	0.130056
"disorderly conduct"	0.128233
"grand larceny"	0.127368
bribery	0.126901
slaying	0.126817
genocide	0.126671
onslaught	0.126516
shelling	0.126484
endangerment	0.126415
atrocity	0.125608
vandalism	0.125071
incident	0.12489
racketeering	0.124447
strike	0.123821
sodomy	0.122893
misconduct	0.122174
looting	0.12206
"child abuse"	0.12202
airstrikes	0.119873
larceny	0.118343
"military action"	0.118067
assassination	0.117428
act	0.116806
riot	0.112633
ambush	0.111771
perjury	0.111499
"war crime"	0.111459
war	0.11097
embezzlement	0.110037
terrorism	0.109753
intimidation	0.109357
brutality	0.109247
arrest	0.109131
action	0.108304
"drug trafficking"	0.107624
fighting	0.107516
incursion	0.106695
molestation	0.10651
espionage	0.106308
possession	0.106277
forgery	0.105366
charge	0.105129
"tax evasion"	0.104213
"military campaign"	0.103795
corruption	0.103709
obstruction	0.103433
attempt	0.103054
rampage	0.102839
threat	0.102179
spying	0.102055
counterattack	0.101479
accident	0.100271
explosion	0.100207
"money laundering"	0.100018
provocation	0.0995602
fire	0.0993279
"mail fraud"	0.0987142
treason	0.0981048
tampering	0.0979126
conduct	0.0978849
firing	0.0973503
barrage	0.0970648
destruction	0.0965977
coup	0.096186
"sexual harassment"	0.0960217
rioting	0.0958024
wrongdoing	0.0949965
"surprise attack"	0.0949762
clash	0.0946018
pressure	0.0943639
infringement	0.0932258
retaliation	0.093013
persecution	0.0929651
misdemeanor	0.0919519
break-in	0.0919404
Death	0.0915994
confrontation	0.0914732
sabotage	0.0912988
driving	0.091212
repression	0.0911611
offense	0.0908014
operation	0.0907948
discrimination	0.0904988
blackmail	0.0901485
activity	0.0901011
mutiny	0.0898346
smuggling	0.0896037
"murder charge"	0.089454
trafficking	0.0893199
suicide	0.0888011
Execution	0.0886331
protest	0.0885425
disaster	0.0883166
negligence	0.0881133
cleansing	0.0870577
crash	0.0868785
battle	0.0863101
behavior	0.0863052
blast	0.0857094
rebellion	0.0856776
"coup attempt"	0.0856045
campaign	0.0854234
uprising	0.0849994
intervention	0.0849694
slaughter	0.0849652
demonstration	0.0844879
unrest	0.0843855
mischief	0.0843532
investigation	0.0843397
"securities fraud"	0.0840301
bloodshed	0.084017
tactic	0.0836129
warfare	0.0834917
takeover	0.0834828
cruelty	0.0834797
"bomb blast"	0.0826534
tragedy	0.0823552
criticism	0.0820292
battery	0.0819169
accusation	0.0817324
disturbance	0.081568
count	0.0807995
reprisal	0.080744
seizure	0.0806015
piracy	0.0804308
prostitution	0.0798903
failure	0.0796528
lawsuit	0.0796424
disappearance	0.0794058
mistreatment	0.0793165
breach	0.0790995
cover-up	0.0790047
standoff	0.079001
hostage-taking	0.078251
"mass murder"	0.0781613
impact	0.0780874
catastrophe	0.0780175
intrusion	0.0779427
conflict	0.0778497
fight	0.0778431
expulsion	0.0777118
involvement	0.0776514
irregularity	0.077021
case	0.0770015
spree	0.0769039
allegation	0.0766834
"insider trading"	0.0763479
outbreak	0.0761537
terror	0.0759228
blockade	0.0757383
airstrike	0.0757213
sanction	0.0756889
subversion	0.0755334
offence	0.0754692
interference	0.0754142
holdup	0.0753971
detention	0.0753717
misuse	0.0751288
bomb	0.0745498
effort	0.0743052
conviction	0.0741497
indictment	0.0741272
))
("assault and battery" (desc 3180.26) (sims
"mail fraud"	0.190589
"sexual assault"	0.183272
"disorderly conduct"	0.182672
manslaughter	0.182175
endangerment	0.181159
racketeering	0.178837
molestation	0.178199
"resisting arrest"	0.178178
"high treason"	0.174608
trespass	0.172362
"securities fraud"	0.168197
defamation	0.154127
indecency	0.152716
larceny	0.150062
"insider trading"	0.149192
"false imprisonment"	0.147285
subversion	0.146643
"grand larceny"	0.137599
burglary	0.135698
"tax evasion"	0.13447
sedition	0.133931
embezzlement	0.133227
forgery	0.131312
"armed robbery"	0.131103
sodomy	0.130073
"contempt of court"	0.127592
shoplifting	0.127361
bribery	0.126832
felony	0.124122
negligence	0.123872
libel	0.121342
treason	0.120357
extortion	0.119545
"breach of trust"	0.117842
robbery	0.11455
tampering	0.114501
perjury	0.110669
"child abuse"	0.108566
misdemeanor	0.108219
arson	0.107879
battery	0.107689
bribe-taking	0.106679
spying	0.10632
rape	0.10606
conspiracy	0.105524
homicide	0.104337
mischief	0.104128
kidnapping	0.103713
stalking	0.102748
intoxication	0.101225
slander	0.0978836
obstruction	0.0960956
theft	0.0957154
harassment	0.0954569
blasphemy	0.093837
misconduct	0.0911325
dereliction	0.0892651
"sexual harassment"	0.0884685
vandalism	0.0878198
mutiny	0.0878023
"money laundering"	0.0875966
espionage	0.0872954
"drug trafficking"	0.0867957
graft	0.086742
trafficking	0.0860396
"emotional distress"	0.0851097
hijacking	0.0832757
"stolen property"	0.0831303
"lying under oath"	0.0816337
piracy	0.0813839
solicitation	0.0806189
"war crime"	0.0801829
genocide	0.0787578
cruelty	0.0771316
incest	0.0763395
contempt	0.0757449
infliction	0.0750382
offence	0.071498
complicity	0.0705154
prostitution	0.0690549
plagiarism	0.0690467
gunrunning	0.0689079
"election fraud"	0.0684302
obscenity	0.0677065
incitement	0.0670593
adultery	0.0665663
"breach of contract"	0.0649717
"invasion of privacy"	0.0631487
evasion	0.0628799
infraction	0.0616198
wrongdoing	0.0613425
speeding	0.0604426
disloyalty	0.0593568
Disobedience	0.0590349
second-degree	0.0589457
first-degree	0.0582308
mutilation	0.058018
enrichment	0.0574814
manipulation	0.0571243
price-fixing	0.0566221
cover-up	0.0561127
abduction	0.0558205
blackmail	0.0550546
malpractice	0.0546117
coercion	0.0545251
urination	0.0537728
falsification	0.0536863
drunkenness	0.0534736
intimidation	0.0517311
vote-buying	0.0511323
servitude	0.0502034
maltreatment	0.0493556
"fraud charge"	0.0487902
misappropriation	0.0481296
"murder charge"	0.0476859
hostage-taking	0.0472169
infringement	0.046777
transgression	0.0466884
irresponsibility	0.0465864
informing	0.0442818
hooliganism	0.0435637
horseplay	0.0435345
"mass murder"	0.0433901
"false statement"	0.042476
break-in	0.0420937
impropriety	0.0410499
nepotism	0.0410259
collusion	0.0402272
"sex act"	0.0402123
))
(assemblage (desc 9800.56) (sims
collage	0.0878438
trove	0.0752438
collection	0.0746445
array	0.0706498
"oil painting"	0.0658523
watercolor	0.0606484
melange	0.0604742
assortment	0.0601939
juxtaposition	0.0590328
"treasure trove"	0.0582791
repository	0.0565586
sketch	0.0556852
sculpture	0.0555627
"art collection"	0.0548745
engraving	0.0547704
profusion	0.0525636
reproduction	0.0518411
drawing	0.0515394
mishmash	0.0510933
"core group"	0.0509182
portrait	0.050368
"oil paint"	0.0497306
roomful	0.0490629
mosaic	0.0486209
"cast of characters"	0.0485561
jumble	0.0483478
contraption	0.0473497
aggregation	0.0466132
lithograph	0.046482
ensemble	0.0464272
constellation	0.0464096
"spider web"	0.0462215
Triptych	0.0459587
gouache	0.0458591
carving	0.0457825
tableau	0.0456992
montage	0.0455923
etching	0.0451269
abundance	0.0447285
"cross section"	0.0445613
bunch	0.0442021
"success story"	0.0441835
planeload	0.043949
conglomeration	0.0433265
"love child"	0.043296
tapestry	0.0431142
depiction	0.0426745
conceit	0.0426343
tableaux	0.0423975
finds	0.0421732
confluence	0.0420358
clump	0.0419304
coupling	0.041916
cutout	0.0418134
abstraction	0.0414698
replica	0.0413179
"flower arrangement"	0.0413055
Anthology	0.0412329
frieze	0.0412154
compilation	0.0408632
nucleus	0.0408145
lode	0.0407115
architecture	0.0405733
pastiche	0.0404923
artwork	0.0404692
amalgam	0.04044
))
(assembler (desc 2595.98) (sims
"repair shop"	0.118091
refiner	0.104554
wholesaler	0.0882635
"manufacturing plant"	0.0875074
importer	0.0871386
tailpipe	0.086817
"administrative official"	0.0836452
dealerships	0.0820279
"interior decorator"	0.0810151
distributor	0.0790124
installer	0.0780865
hauler	0.0762514
repairman	0.0754937
"auto maker"	0.0740993
"electronics company"	0.0738478
"Internet Service Providers"	0.0737779
bottlers	0.0727221
transporter	0.0726646
resellers	0.072503
"service station"	0.0710338
steelmaker	0.0700917
"assembly line"	0.0679589
"economic expert"	0.0678105
"manufacturing business"	0.0676085
"car manufacturer"	0.066907
"Robert Aventajado"	0.0664664
rollovers	0.0662906
"brokerage house"	0.0650504
integrator	0.0648421
carmakers	0.0648369
"car maker"	0.0643877
parts	0.0643401
superstore	0.063982
homebuilder	0.063863
franchisees	0.0636794
"toy maker"	0.0636456
installers	0.0634503
marketer	0.0632437
Iomega	0.0621229
shipbuilder	0.0620799
"steel company"	0.0620395
"catalytic converter"	0.0617145
"Hughes Electronics Corp."	0.0616723
"food company"	0.0616286
subcontractor	0.0610806
bottler	0.061047
landscapers	0.0608602
"shop assistant"	0.0603974
"NEC Corp."	0.0600505
"ticket agent"	0.0600468
"electric company"	0.0593766
grocer	0.0589303
"publishing house"	0.0586523
"trunk road"	0.0585422
Kenna	0.0584231
windscreen	0.0581206
"flour mill"	0.0579009
dealership	0.0575254
eavesdropper	0.0570797
"spare part"	0.0569847
"Legend Group"	0.056899
"educational institution"	0.0566656
"employment agency"	0.0564326
techs	0.0561279
"opera company"	0.0559275
"transportation company"	0.0555452
"film maker"	0.0553424
Airlines	0.0553308
"security consultant"	0.0552133
"retail chain"	0.0552077
"financial officer"	0.0549746
bookseller	0.0546171
Gunmakers	0.0543686
counterfeiter	0.0543279
corporates	0.0541104
"corporate investor"	0.053984
automakers	0.0535748
marketers	0.0534771
"Procter &AMP; Gamble Co."	0.053385
"tax collector"	0.0531784
"stamp collector"	0.0531701
restorer	0.0530019
"Tourism Authority of Thailand"	0.0529964
"advertising agency"	0.0525966
Realtor	0.0525596
winemaker	0.052398
brewery	0.0521285
SMIs	0.052117
shipper	0.052017
"weather forecaster"	0.0518251
"cable operator"	0.0516508
showroom	0.0515927
"development center"	0.0515519
"auto manufacturer"	0.0512372
"hotel manager"	0.0512194
salespeople	0.0511018
"art student"	0.0508116
horticulturist	0.0506354
"software maker"	0.0506327
"film producer"	0.0502521
"home builder"	0.0502439
headlight	0.050169
merchandiser	0.0499973
NEC	0.0499135
pharmacist	0.0497501
exhibitor	0.0497148
Hitachi	0.0494316
chassis	0.0494112
"sales outlet"	0.0492742
cardholders	0.0490921
"life insurer"	0.0489468
"elephant population"	0.0489395
"delivery service"	0.0486908
dashboard	0.0477496
purchaser	0.0476939
"insurance market"	0.047521
exterminator	0.047466
automaker	0.0473876
craftsmen	0.0473125
"telephone company"	0.047274
"retail store"	0.0471918
Industrialist	0.0471559
crematorium	0.0471106
Dreyer	0.0468783
doomsayers	0.046771
wrecker	0.0467438
"Boeing company"	0.0466781
storekeeper	0.0466055
"movie studio"	0.0465945
"car dealer"	0.0465849
"Hollywood studio"	0.0465644
blacksmith	0.0463487
"paramilitary organization"	0.0463483
"trade association"	0.0463043
"medical specialist"	0.0460352
Geico	0.045984
"insurance agent"	0.0458886
constructor	0.0458394
"pedestrian bridge"	0.0456686
"water company"	0.0456629
highflier	0.0456608
Ruehe	0.0455806
"factory worker"	0.0454181
Embraer	0.0452529
florist	0.0452087
"R.J Reynolds Tobacco Co."	0.0451277
"semiconductor maker"	0.045053
parastatals	0.0449546
"telephone operator"	0.0449392
NGO	0.0449078
"department store chain"	0.0448309
ABS-CBN	0.0446551
Taufik	0.0446071
odometer	0.0444116
drugmakers	0.0443521
"insurance business"	0.0443159
part-timer	0.0441777
"industrial enterprise"	0.0439962
"Labor office"	0.0439856
"Motorola Inc."	0.0438519
"Mayon Volcano"	0.0437649
"shipping company"	0.0437314
"drug maker"	0.043687
"communication network"	0.0436143
break-in	0.0436067
"Foreign Exchange Rates"	0.0434572
costing	0.0434434
"futures exchange"	0.0431657
"investor confidence"	0.0431068
"investment trust"	0.0430073
air-conditioner	0.0429797
"non-governmental organizations"	0.0428264
"auto company"	0.0427178
"network administrator"	0.0426611
underwriter	0.0426377
Eskimo	0.0426257
"exhaust system"	0.0425472
beekeeper	0.042545
GPU	0.0423308
PEOPLESOFT	0.0422861
issuers	0.0421563
masseuse	0.0420421
"aerospace engineer"	0.0420403
meatpackers	0.0420054
multinationals	0.0419279
demographer	0.0418503
repairmen	0.0418484
"oil producer"	0.0418209
"general practitioner"	0.0417836
"seat belt"	0.0417193
salesmen	0.041714
ISPs	0.0416711
"Texas Instruments"	0.0415653
Fuji	0.0415364
"eye doctor"	0.0414582
"insurance firm"	0.0413237
"Volvo AB"	0.0412839
shipowner	0.0412004
weatherman	0.0411632
"Symantec Corp."	0.0411513
))
(assembling (desc 2661.88) (sims
disbandment	0.0942744
demobilization	0.0858254
warehousing	0.07419
stationing	0.070478
drawdown	0.0649783
forming	0.0566578
sending	0.0544433
divestment	0.0539767
shipbuilding	0.0529355
disbanding	0.0525855
reorientation	0.0525229
incineration	0.0501446
Repositioning	0.0500231
designing	0.0491058
refurbishment	0.0480527
NSP	0.0479851
"two units"	0.0478672
Cyrix	0.0463335
desalination	0.0460709
rearrangement	0.0453046
reintegration	0.0452779
"consumer durables"	0.045157
computerization	0.0449176
aquaculture	0.0448844
refining	0.0444506
"first unit"	0.0442387
shipload	0.0437726
labeling	0.0433327
"manufacturing business"	0.0432666
"marketing cost"	0.0427936
torching	0.0426607
planeloads	0.0426091
bioengineering	0.0416551
Tyre	0.04134
retraining	0.0410295
dispersal	0.0407891
reconfiguration	0.0407422
rededication	0.0405242
SEABROOK	0.0404083
aquatics	0.0403885
encirclement	0.0403481
))
(Assembly (desc 83566.7) (sims
"National Assembly"	0.230998
parliament	0.224351
legislature	0.217628
"general assembly"	0.191248
Council	0.187495
"House of Representatives"	0.17883
Senate	0.172223
Knesset	0.170093
Congress	0.16744
Duma	0.164041
"state legislature"	0.158019
"State Duma"	0.153353
committee	0.151964
"European Parliament"	0.148003
Majlis	0.145843
"Lok Sabha"	0.137238
cabinet	0.136651
"city council"	0.13627
chamber	0.136032
"Lower House"	0.134658
"Northern Ireland Assembly"	0.12899
"legislative assembly"	0.124887
"legislative council"	0.123073
conference	0.122703
commission	0.121594
"House of Commons"	0.119814
"Consultative Assembly"	0.118281
"Security Council"	0.114944
government	0.113868
MPR	0.111286
meeting	0.108165
"U.N. Security Council"	0.107827
house	0.107443
session	0.107346
forum	0.106849
"Federation Council"	0.103814
Bundestag	0.103794
panel	0.1033
"Russian State Duma"	0.10228
summit	0.101803
board	0.10112
"United Nations Security Council"	0.100568
"Council of Ministers"	0.0995569
"board of directors"	0.0984173
election	0.0978127
party	0.0960983
"Palestine National Council"	0.0959745
convention	0.0956308
"National Congress"	0.0926767
NPC	0.0919764
"political party"	0.0912241
"school board"	0.0910106
plc	0.0905985
federation	0.090345
"executive council"	0.0891609
court	0.0885355
PNC	0.0884777
"United Nations"	0.0880409
subcommittee	0.0880264
body	0.087629
gathering	0.087272
IOC	0.0864509
"Palestinian National Council"	0.0863039
Coalition	0.0860563
lawmaker	0.0851522
delegation	0.0846692
"board of education"	0.0845595
association	0.0845548
"summit meeting"	0.0843601
"House Judiciary Committee"	0.0842817
organization	0.0842813
"committee meeting"	0.0842215
"Texas Legislature"	0.0841312
plenum	0.0840435
administration	0.0839929
"Judiciary Committee"	0.0828352
U.N.	0.0827302
"local government"	0.0823057
legislator	0.0815617
"National Council"	0.0814708
referendum	0.0812175
"standing committee"	0.0810215
"council meeting"	0.0807122
"task force"	0.0805808
"European Commission"	0.0805663
"International Olympic Committee"	0.0804684
"Supreme Court"	0.0803982
"working group"	0.080111
union	0.079512
group	0.0790962
"conference committee"	0.0789396
"general election"	0.0788041
President	0.0786203
"Selection Committee"	0.0776901
presidency	0.077392
Judiciary	0.0768151
"US Senate"	0.07616
seminar	0.0760951
vote	0.0757283
office	0.0756731
minister	0.0756669
ministry	0.075662
delegate	0.0755643
leadership	0.0755591
"planning commission"	0.0755499
symposium	0.0755275
authority	0.0752373
caucus	0.074546
"Provisional Legislative Council"	0.0745188
"Liberal Democratic Party"	0.0744581
leader	0.0743246
DPR	0.0732437
state	0.0727712
"Democratic Party"	0.072758
"board of regents"	0.071453
majority	0.0713925
General	0.0712224
"Preparatory Committee"	0.0712149
"European Union"	0.0710437
"Socialist Party"	0.0708663
"State Council"	0.0704731
workshop	0.0704541
"Senate Judiciary Committee"	0.0703306
member	0.0700326
"Arab League"	0.0699417
constitution	0.0699304
Governor	0.0698207
representative	0.069109
"trade union"	0.0688053
membership	0.0684911
"Central Committee"	0.0681757
Presidium	0.0679224
APEC	0.0678942
"foreign minister"	0.0677247
"House of Lords"	0.0672719
institution	0.0672715
"steering committee"	0.0671457
ballot	0.0667896
"NPC Standing Committee"	0.0662028
"Federal Communications Commission"	0.0661309
"Commission on Human Rights"	0.0660775
agency	0.0660688
WTO	0.0660166
"UN Security Council"	0.0656207
"board of trustees"	0.0655954
"finance committee"	0.0653988
bloc	0.0653213
Alliance	0.0652917
governorship	0.065024
"head of state"	0.0650088
"police force"	0.0648878
"White House"	0.0648656
"Communist Party"	0.0648375
constituency	0.0646749
deputy	0.0643897
talk	0.0641581
tribunal	0.0641049
Rally	0.064025
"high court"	0.0639286
"Labor Party"	0.0637867
"central bank"	0.0637595
FIFA	0.0634817
"International Monetary Fund"	0.0632156
"Sinn Fein"	0.0631992
department	0.0628373
Confederation	0.0627779
Speaker	0.0627758
faction	0.0627127
ceremony	0.0626219
army	0.0624983
official	0.0620778
"Millennium Summit"	0.062042
voting	0.0619957
"International Conference"	0.061903
OSCE	0.0617001
commissioner	0.0614122
"council member"	0.0612682
"World Bank"	0.0611839
"chamber of commerce"	0.0611096
"African National Congress"	0.0606359
"World Trade Organization"	0.0603139
hearing	0.0603078
"election commission"	0.0602864
system	0.0601817
military	0.0601225
process	0.0597359
Republic	0.0596839
Republican	0.0596751
two-day	0.0596086
EU	0.0595123
"finance minister"	0.0594334
post	0.0593236
"Congress Standing Committee"	0.0591891
IMF	0.0591129
"National People's Congress"	0.059109
country	0.0590014
district	0.0588963
Secretariat	0.0587454
"international organization"	0.0587304
SADC	0.0586443
))
("assembly hall" (desc 1475.75) (sims
"pedestrian bridge"	0.0926299
"Great Hall"	0.0820059
"Ritz-Carlton Hotel"	0.0755103
"Metropolitan Opera House"	0.0747051
"Convention Center"	0.0743864
"Maung Aye"	0.0705524
"football stadium"	0.0685429
"conference center"	0.0641608
nave	0.063986
amphitheater	0.0634904
atrium	0.0633388
sarcophagus	0.0628467
"Parliament House"	0.0619636
"Pervaiz Musharraf"	0.0612864
collider	0.0611772
"athletic facility"	0.0596004
"Robert Guei"	0.0589644
treehouse	0.0589348
"Elysee Palace"	0.0588336
"Lino Oviedo"	0.0582964
"Olympic Stadium"	0.0579878
"Delta Center"	0.0579296
edifice	0.0573367
Igloo	0.056721
"Devil Stadium"	0.0566688
"exhibition hall"	0.0565791
"Ansumane Mane"	0.0560783
"John Shalikashvili"	0.0556422
"Salim Saleh"	0.0552114
"apartment house"	0.0551877
ballroom	0.0545783
gymnasium	0.0545448
storeroom	0.0545085
"domed stadium"	0.0543681
"National Stadium"	0.0543676
"sailing vessel"	0.0543222
vestibule	0.053435
"phone booth"	0.0533978
"Renato Ruggiero"	0.0533618
truss	0.0531831
"opera house"	0.0528069
Basilica	0.0526817
"concert hall"	0.0526487
Synod	0.052435
cistern	0.0521449
"Joseph Ralston"	0.0519489
"cotton mill"	0.0518387
"Stade de France"	0.05173
"Lincoln Memorial"	0.0516368
"Abdulsalami Abubakar"	0.0515712
"civic center"	0.0515688
"Metropolitan Museum of Art"	0.0514308
"endowment fund"	0.0513601
"sports arena"	0.0510917
"office block"	0.0510598
"Xiong Guangkai"	0.0505754
"Kiel Center"	0.0502304
"bell tower"	0.0502001
"Philips Arena"	0.050155
"Sydney Opera House"	0.0496711
"Symphony Hall"	0.049602
"front room"	0.0494206
townhouse	0.049389
foyer	0.0493145
"house of cards"	0.0492995
"Miami Arena"	0.0492269
"Yu Yongbo"	0.0492013
airship	0.0491718
abattoir	0.0491328
"Serbian Orthodox Church"	0.0490812
Metrodome	0.048962
rotunda	0.0489157
"National Museum"	0.0488777
concourse	0.048669
"Klaus Naumann"	0.0484638
"sugar refinery"	0.0483926
"gas plant"	0.048325
pagoda	0.0480379
"Pac Bell Park"	0.0477914
"compact car"	0.04766
"town hall"	0.0474887
"National Theater"	0.0473873
"bank building"	0.0467958
"Abdul Malik"	0.0466637
"voting booth"	0.0464363
granary	0.0459627
"Safeco Field"	0.0456756
"Hugh Shelton"	0.0456406
"Zhang Wannian"	0.0452789
"Windsor Castle"	0.0451048
Stairway	0.0449911
led	0.0449105
playhouse	0.0448982
"dining area"	0.044757
"suspension bridge"	0.0443648
"gambling casino"	0.044259
"Charles de Gaulle"	0.0442438
"arm's length"	0.0441551
Mannheim	0.0441541
"U.N. Headquarters"	0.0441235
Spillway	0.0440643
"ice rink"	0.043998
"Boston Garden"	0.0439405
"Pinehurst No. @"	0.0437557
"MCI Center"	0.0436156
footbridge	0.0435736
megaplexes	0.0433529
"ranch house"	0.0433243
courtesan	0.0433029
"Philadelphia Museum of Art"	0.0432851
Palazzo	0.0431089
"community center"	0.0430691
"sixth grade"	0.0430205
"art collection"	0.0429996
"carriage house"	0.0429796
"Oladipo Diya"	0.0429477
"Tiger Stadium"	0.0428962
"U.S. Capitol"	0.0427878
"residential district"	0.0426002
"three units"	0.0423984
"clock tower"	0.0420276
two-bedroom	0.0419182
alcove	0.0417632
"Fu Quanyou"	0.0417307
"funeral home"	0.0416318
"studio apartment"	0.0414897
"Henry Shelton"	0.041431
"engine room"	0.0413439
superspeedway	0.0413257
promenade	0.0410596
arboretum	0.0410527
planetarium	0.0410262
steeple	0.0406836
"press box"	0.0405464
"sewer system"	0.0405225
"Rockefeller Center"	0.0403305
"third grade"	0.0403218
Panmunjom	0.0403213
"Boutros Boutros Ghali"	0.0402657
"public square"	0.0402225
"closed session"	0.0401775
archway	0.0401679
"family room"	0.0401433
))
("assembly line" (desc 14853) (sims
"production line"	0.188907
factory	0.0880029
"night shift"	0.0770427
"manufacturing plant"	0.0738929
refinery	0.0697401
mill	0.0690907
reactor	0.0683586
assembler	0.0679589
"oil refinery"	0.0659501
engine	0.0658955
"printing press"	0.0652988
"paper mill"	0.0635369
"transportation system"	0.0614417
boiler	0.0605515
smelter	0.0598801
chassis	0.0593304
"oil rig"	0.0591937
ramp	0.0575379
manufacturing	0.0567232
runway	0.0565495
machinery	0.0565378
"distribution network"	0.0561149
"phone system"	0.0559331
"computer network"	0.0556295
pipeline	0.0548619
generator	0.0544099
dealerships	0.054372
"quality control"	0.054213
incinerator	0.0541522
"power plant"	0.0541185
"control system"	0.0540309
"production facility"	0.0538712
"nuclear reactor"	0.0536198
"electrical system"	0.052906
simulator	0.0528258
sawmill	0.0522397
railroad	0.052152
"surveillance system"	0.0520084
"power unit"	0.051897
Warehouse	0.0514557
"railway system"	0.0514515
"manufacturing business"	0.0514234
motor	0.051175
turbine	0.0506444
"dairy farm"	0.0506376
conditioner	0.0504467
idling	0.0503839
"security system"	0.0503384
dealership	0.0501391
intranet	0.0493278
rig	0.0492155
"production capacity"	0.0489058
"jet engine"	0.0486019
"industrial park"	0.0485171
"catalytic converter"	0.0483583
"space station"	0.0480688
brewery	0.0477047
"joint venture"	0.0475835
"distribution system"	0.0475207
airplane	0.0473713
incubator	0.0472448
"trading floor"	0.0470791
shipyard	0.0469289
machinist	0.0468583
"product line"	0.0467887
"conveyor belt"	0.0467048
furnace	0.0464787
substation	0.0464776
"textile mill"	0.0464547
server	0.0461343
avionics	0.0460506
lab	0.0459016
"machine shop"	0.0458096
maintenance	0.0457252
blacklist	0.0455174
abattoir	0.0454431
"truck sale"	0.0454044
foundry	0.0453365
dock	0.0453303
"information system"	0.0452921
"service station"	0.0450828
"development center"	0.0448789
"branch office"	0.0448556
"water project"	0.0447573
freeway	0.044739
tannery	0.0445715
"back office"	0.0445357
transmission	0.0445258
Robot	0.0442006
terminal	0.0441047
"second line"	0.0438329
"railroad line"	0.0437851
showroom	0.0436551
prototype	0.0435561
"cruise ship"	0.0433867
laboratory	0.0433071
"rail line"	0.0432961
storage	0.0431493
"telephone network"	0.0431254
subsidiary	0.0431089
inventory	0.04302
"telephone system"	0.0429876
waterworks	0.0429765
"collective farm"	0.0429164
cannery	0.0426565
"communications network"	0.042637
autoworkers	0.0425835
"heating system"	0.0425656
"oil pipeline"	0.0424952
"Manhattan Project"	0.0424571
automobile	0.0423378
"communication system"	0.0423368
Workers	0.0422744
processing	0.0422582
"work force"	0.0422422
"repair shop"	0.0421896
railway	0.0421811
bakery	0.0421794
"insurance business"	0.042165
slaughterhouse	0.0420511
distillery	0.0419115
air-conditioner	0.0415459
airfield	0.0414635
valve	0.0413402
"ventilation system"	0.0412998
Assembly	0.0411478
expressway	0.0410989
"hot line"	0.0410482
"communication network"	0.0409495
"fiber optic cable"	0.0409396
"highway system"	0.0409259
"transmission line"	0.0408571
"chemical industry"	0.0408246
"two lines"	0.0406624
wharf	0.0406355
"cutting edge"	0.040605
"power station"	0.0405916
"picket line"	0.0405906
"diesel engine"	0.0405809
radar	0.0405201
plantation	0.0404377
elevator	0.0404107
"drainage system"	0.0403995
"production problem"	0.0403588
"steel mill"	0.0402338
"market share"	0.0402084
headquarters	0.0401611
"power grid"	0.0400159
))
(assemblyman (desc 4955.6) (sims
"state senator"	0.193314
Councilman	0.155869
congresswoman	0.139825
Congressman	0.137759
alderman	0.115346
councilwoman	0.0948516
legislator	0.0901918
officeholder	0.0899436
"Dennis Vacco"	0.0873106
"Mario Cuomo"	0.087019
"lieutenant governor"	0.0852807
congressmen	0.0820444
"real estate broker"	0.0784838
"Fob James"	0.0760791
"Peter Verniero"	0.0759641
Comptroller	0.0742714
"district attorney"	0.0739568
"elected official"	0.0735867
businessman	0.0735446
"real estate developer"	0.0727315
"board member"	0.0725058
Councilor	0.0717632
treasurer	0.0716411
"Lowell Weicker"	0.0707367
"solicitor general"	0.0704543
"Tom Hayden"	0.0701138
oilman	0.0695516
"council member"	0.0692776
"management consultant"	0.0689315
stockbroker	0.0686196
"altar boy"	0.0681372
scoutmaster	0.0679923
jurist	0.0676714
Councilors	0.0670823
"police sergeant"	0.0670046
"Biljana Plavsic"	0.0661558
"school principal"	0.0659215
"George E. Pataki"	0.0658859
ophthalmologist	0.0657236
"government officials"	0.0655915
"Scott Harshbarger"	0.0655426
"investment banker"	0.0642596
"Black Panther"	0.0638854
"John Connally"	0.0638429
"party boss"	0.0637686
"Lawton Chiles"	0.0636095
committeeman	0.0634891
"cabinet member"	0.0633305
"public defender"	0.0627463
"naval officer"	0.0621119
newspaperman	0.0620931
infantryman	0.0619181
eighth-grader	0.061421
"Tony Coelho"	0.061169
"Charles Schumer"	0.0610908
schoolteacher	0.0609438
"financial officer"	0.0605565
firefighter	0.0599648
clergyman	0.059879
"foreign service officer"	0.0598748
"school teacher"	0.0597476
appointee	0.0596127
"farm boy"	0.0594848
"David Beasley"	0.0593117
"Dianne Feinstein"	0.0593043
accountant	0.0592312
"committee member"	0.0587795
"English teacher"	0.0586897
"talent agent"	0.0584923
"baseball coach"	0.0584327
"Mike Leavitt"	0.0582229
Bhattarai	0.0580274
"Eliot Spitzer"	0.0579636
Postmaster	0.0579194
sportswriter	0.057903
autocrat	0.0578561
"film producer"	0.0577519
"Lauch Faircloth"	0.0575864
incumbent	0.0574417
"social worker"	0.0573311
"literary agent"	0.0572936
"justice of the peace"	0.057259
"Paul Patton"	0.0569051
"department head"	0.0567891
"prison guard"	0.0567827
"Jim Hodges"	0.0564927
businesswoman	0.0564136
chairmen	0.0561208
"registered nurse"	0.0560753
"Jim Florio"	0.056022
"probation officer"	0.0559848
"aerospace engineer"	0.0559022
rabbi	0.0558867
"union representative"	0.0558785
"tax collector"	0.0557567
"Howard Baker"	0.0557562
"Alfonse D'Amato"	0.0556765
"Christian Democrat"	0.0554035
"eye doctor"	0.0553878
"John Lewis"	0.0552285
"John Engler"	0.0550336
"Tom Vilsack"	0.0549549
"Bill Lockyer"	0.05487
"fire chief"	0.0546809
"Dan Morales"	0.0544538
Kazhegeldin	0.0544458
"Ann Richards"	0.0544435
"Bob Bullock"	0.0543848
"police lieutenant"	0.05432
"Celinda Lake"	0.054083
"political leader"	0.0539862
"Pete Wilson"	0.053917
speechwriter	0.0538503
"computer programmer"	0.0538254
"political boss"	0.0534818
rapper	0.05323
"funeral director"	0.0532123
"business leader"	0.0531895
"divorce lawyer"	0.0531377
"media consultant"	0.0530937
"Roy Barnes"	0.0529977
publicist	0.0529729
"Tom Ridge"	0.052794
Councillor	0.0527882
operative	0.0527281
"press agent"	0.0527039
"Jane Hull"	0.0526371
schoolchildren	0.0525842
trustee	0.0523162
"school superintendent"	0.0522547
"Buddy MacKay"	0.0522276
bookkeeper	0.0522227
veterinarian	0.0522008
"North Carolina Republican"	0.0521021
"civil rights leader"	0.052054
"Christie Whitman"	0.0519942
homemaker	0.0519576
philanthropist	0.0517576
"Guy Millner"	0.0517233
"real estate agent"	0.0516325
"Dan Lungren"	0.0516263
"Gray Davis"	0.0515521
"cabinet minister"	0.051552
"legal expert"	0.0515249
fundraiser	0.0514988
serviceman	0.0514876
"government minister"	0.051483
"police captain"	0.0513566
Musa	0.0513051
"art director"	0.0512637
"certified public accountant"	0.0512409
"planning commission"	0.0512355
"Charles Robb"	0.0512043
"Southern Baptist"	0.0511855
"medical student"	0.0510961
lobbyist	0.0510908
"electrical engineer"	0.0509171
"John Rowland"	0.0508862
"Terry McAuliffe"	0.0508244
rector	0.050785
"investment adviser"	0.0505809
obstetrician	0.0505518
"law student"	0.0504995
"George Voinovich"	0.0504658
paraplegic	0.0504557
"bus driver"	0.050433
"Charles Rangel"	0.0502736
"army officer"	0.0501045
"Harold Ickes"	0.0499533
evangelist	0.0498614
"plastic surgeon"	0.0498524
educator	0.0498059
Sensenbrenner	0.0497674
co-chair	0.0497546
"lieutenant general"	0.0493686
"game warden"	0.049275
patrolman	0.0490318
"newspaper publisher"	0.0489979
"newspaper editor"	0.0489894
"Daniel Patrick Moynihan"	0.0488514
"Russell Feingold"	0.0488122
claimer	0.0487482
"medical examiner"	0.0486926
stipe	0.0486912
"truck driver"	0.0486151
"Bob Barr"	0.0485647
restaurateur	0.0484701
Magistrate	0.0483645
"Jim Gilmore"	0.0483416
bureaucrat	0.0483316
"Boutros Boutros Ghali"	0.0482995
"church member"	0.0482743
prefect	0.0481749
"civic leader"	0.0481081
"test pilot"	0.0479826
"executive secretary"	0.0479283
ex-convict	0.0478959
"Jim Kolbe"	0.0477391
parliamentarian	0.0477283
paramedic	0.0476817
))
(assent (desc 3541.02) (sims
acquiescence	0.109127
acknowledgement	0.0863314
consent	0.0781109
acknowledgment	0.0708251
benediction	0.0672654
"seal of approval"	0.0636931
amen	0.0604057
"cold shoulder"	0.0565035
"green light"	0.0532009
go-ahead	0.0521203
encouragement	0.0516314
directive	0.0513908
imprimatur	0.0513472
absolution	0.0504481
clarification	0.0498023
concurrence	0.0490438
reassurance	0.04898
"change of direction"	0.0478362
fillip	0.0476341
swearing-in	0.0476236
"personal appeal"	0.0471112
"all clear"	0.0470567
Highness	0.0466444
thumbs-up	0.0465895
salutation	0.0465304
commendation	0.0464279
renomination	0.0463251
allegiance	0.0460526
behest	0.0452981
committment	0.044493
lobbying	0.0436815
feeler	0.0432983
antipathy	0.0432949
"bill of health"	0.0432358
send-off	0.0429257
"Stock Exchange of Thailand"	0.0426778
"medical report"	0.0423981
urgings	0.0419332
dispossession	0.0419172
"marriage proposal"	0.0418226
coronation	0.0417424
oomph	0.0417166
credence	0.0417002
accolade	0.041419
emissary	0.0412853
sendoff	0.040843
"presidential term"	0.0407745
"refresher course"	0.0406252
plaudit	0.0400839
"inaugural address"	0.0400116
))
(assertion (desc 42295.3) (sims
claim	0.183955
accusation	0.16777
allegation	0.162201
suggestion	0.143546
statement	0.136262
argument	0.131817
contention	0.130151
comment	0.12342
remark	0.120731
denial	0.117115
criticism	0.112767
notion	0.11107
finding	0.107477
testimony	0.106387
conclusion	0.103936
insistence	0.103857
prediction	0.103311
assumption	0.101428
complaint	0.098296
rumor	0.0979745
Declaration	0.0977913
pronouncement	0.097579
request	0.0958527
proposal	0.0957026
characterization	0.0955297
assessment	0.0955071
theory	0.0939265
decision	0.0932043
refusal	0.092376
belief	0.0918628
interpretation	0.090106
charge	0.090001
announcement	0.0895449
explanation	0.0872125
stance	0.0871624
objection	0.0857382
assurance	0.0856217
rejection	0.0849407
pledge	0.0847962
recommendation	0.084559
idea	0.0840344
description	0.0839068
speculation	0.0837258
warning	0.0833966
question	0.0825192
disclosure	0.0822251
perception	0.0803517
tactic	0.0798365
fact	0.0794406
attempt	0.0791153
suspicion	0.0789829
appeal	0.0786839
evidence	0.0783262
view	0.0759619
plea	0.0758884
observation	0.0754736
ruling	0.0752455
revelation	0.0747684
threat	0.0745741
judgment	0.0743203
rhetoric	0.0741017
account	0.0738471
action	0.0734023
promise	0.0732931
strategy	0.0726034
confession	0.0725206
proposition	0.0723811
determination	0.0719813
protestation	0.0712437
effort	0.0711203
proclamation	0.0704201
reasoning	0.070188
reluctance	0.0701518
overture	0.0698616
demand	0.0695755
commitment	0.069262
concern	0.06879
approach	0.06868
opinion	0.0684798
"news report"	0.0683307
response	0.0676686
acknowledgment	0.0672929
verdict	0.067279
calculation	0.0671139
story	0.0669868
projection	0.0669337
inference	0.0668308
message	0.0666378
willingness	0.0665816
presumption	0.0665506
position	0.0665337
speech	0.0664346
admission	0.0663241
lack	0.0661281
involvement	0.0660833
policy	0.0650537
intention	0.06491
insinuation	0.0648636
analysis	0.0648577
attitude	0.064831
endorsement	0.0647576
failure	0.0642324
credibility	0.0642255
portrayal	0.0642181
letter	0.0641713
conviction	0.063914
initiative	0.0638837
hypothesis	0.0635207
premise	0.0634367
word	0.0633069
case	0.0629489
principle	0.062805
motive	0.0627598
veracity	0.0626971
inquiry	0.0625553
condemnation	0.0625145
questioning	0.0623695
concept	0.0623387
reaction	0.0621442
desire	0.0617521
affidavit	0.061364
acceptance	0.0609924
resignation	0.0609496
abuse	0.0607099
fear	0.0606871
impression	0.060317
scenario	0.0602703
handling	0.0601009
behavior	0.0598363
adage	0.0595371
opposition	0.0594027
reversal	0.0591074
advice	0.058871
motion	0.0587611
filing	0.0583342
advocacy	0.0580651
sincerity	0.0579504
document	0.0578916
stereotype	0.0578605
incident	0.0578476
candidacy	0.0575482
thesis	0.0574515
measure	0.0574514
misstatement	0.0574486
indication	0.0574216
investigation	0.0572251
omission	0.0570909
diagnosis	0.057056
directive	0.0570284
unwillingness	0.0569784
lawsuit	0.0569383
veto	0.0569298
conservatism	0.0568533
AD	0.0568059
theme	0.0567416
appointment	0.0566606
Dismissal	0.0565369
petition	0.0565232
rebuttal	0.0565186
apology	0.0564481
doctrine	0.0564335
answer	0.0561323
violation	0.0560912
seriousness	0.0560429
legitimacy	0.0559115
outburst	0.0558705
detail	0.055742
gesture	0.0555976
invitation	0.0553991
appearance	0.0553849
forecast	0.0552902
acknowledgement	0.0551655
myth	0.0551286
validity	0.0551165
deposition	0.0550057
reaffirmation	0.0549953
denunciation	0.0549079
wrongdoing	0.0546142
affirmation	0.0545172
prospect	0.0544888
timing	0.0544748
critic	0.0543468
inaction	0.0542342
critique	0.0542001
definition	0.0540226
ability	0.0539907
admonition	0.053659
absence	0.0536369
intervention	0.0536307
optimism	0.0536207
accomplishment	0.053613
sentiment	0.0536022
performance	0.053579
representation	0.053481
misconduct	0.0534779
skepticism	0.0534565
expression	0.0534085
truth	0.0534046
subpoena	0.0533868
existence	0.0533725
))
(assertiveness (desc 2736.07) (sims
stamina	0.0916157
aggressiveness	0.0868789
dynamism	0.0847112
agility	0.0794882
ferment	0.0751503
competence	0.0728753
originality	0.0720239
boldness	0.0717994
receptivity	0.0711635
resiliency	0.070104
explosiveness	0.0694244
nimbleness	0.0687279
quickness	0.0685485
sophistication	0.0674238
decisiveness	0.0653986
vulnerability	0.0651483
fortitude	0.0649053
magnificence	0.0648023
resilience	0.06427
"raw talent"	0.0630571
foresight	0.0628074
skittishness	0.06231
athleticism	0.0622569
vitality	0.0619956
cohesion	0.0613779
breadth	0.0611977
toughness	0.0611935
self-confidence	0.0611114
"staying power"	0.0609318
acumen	0.0605552
mobility	0.05933
thoughtfulness	0.0591822
vigor	0.0590945
potency	0.0590137
inventiveness	0.0588045
buoyancy	0.0582358
softness	0.0575648
bullishness	0.057439
gumption	0.0571816
disquiet	0.0571391
maturity	0.0570697
professionalism	0.0569367
"team spirit"	0.0568627
sincerity	0.0568542
humility	0.0550928
calmness	0.0549458
"housing sale"	0.0548961
gentleness	0.0548487
unanimity	0.0546627
Creativity	0.0546131
belligerence	0.0543408
homeownership	0.0543342
self-awareness	0.0539089
militancy	0.0535017
risk-taking	0.053363
trustworthiness	0.0533588
statesmanship	0.0532381
self-assurance	0.0532022
finesse	0.053178
clarity	0.0531262
eagerness	0.0529748
polarization	0.0528949
pragmatism	0.0526695
durability	0.052391
vibrancy	0.052231
tenacity	0.0520354
demeanor	0.0517624
activism	0.0516817
musicality	0.0516763
perseverance	0.0515198
coherence	0.0512568
footwork	0.0509354
vehemence	0.0507655
affluence	0.0507479
sluggishness	0.0504859
moxie	0.050316
inexperience	0.0501785
Openness	0.0501233
closeness	0.0498625
dexterity	0.0498439
ebullience	0.049736
honesty	0.049652
prominence	0.049446
stature	0.0490794
generosity	0.0490381
self-respect	0.0489998
impatience	0.0487997
responsiveness	0.0484945
resourcefulness	0.0484695
deceleration	0.0483497
remoteness	0.048303
wariness	0.0482293
"growth prospect"	0.0481504
self-image	0.0477013
permissiveness	0.0474854
tenderness	0.0474714
flowering	0.0474407
disenchantment	0.0473397
attractiveness	0.047186
versatility	0.0471118
outspokenness	0.047047
competency	0.0468669
rebirth	0.0468426
flair	0.046751
elan	0.0466329
endurance	0.0465027
dimple	0.0464496
ardor	0.0462302
virility	0.0462274
uniformity	0.0455873
weariness	0.0455554
individuality	0.0454484
hang-up	0.0453591
subtlety	0.045227
fervor	0.0451395
eloquence	0.0451027
rigidity	0.0450586
self-consciousness	0.044987
hipness	0.0449785
frankness	0.0449419
self-reliance	0.044589
girth	0.0444214
mastery	0.0444178
"New Labor"	0.0443595
"sense of purpose"	0.0443583
superiority	0.0443417
farsightedness	0.0439933
uneasiness	0.0439473
propensity	0.0438918
viability	0.043835
ingenuity	0.0437157
notoriety	0.0436871
dependency	0.0435955
intellect	0.0435872
differentiation	0.043587
disunity	0.0435259
marginalization	0.0434157
"price competition"	0.0434079
audacity	0.0433222
"investor interest"	0.0432405
religiosity	0.0431516
reticence	0.04313
completeness	0.0430195
sameness	0.0430082
fragmentation	0.0428293
indebtedness	0.0428257
"Passion play"	0.0428183
inclination	0.0427745
directness	0.0426443
unpopularity	0.0425616
"reaction time"	0.0425461
frailty	0.0424088
moderation	0.0422887
electability	0.0421996
ferocity	0.0421938
Tevanian	0.0421744
contrition	0.0420824
accessibility	0.041896
"shipbuilding industry"	0.0418064
unease	0.0417858
"inferiority complex"	0.0417683
backsliding	0.0417574
favoritism	0.0416797
heft	0.0415138
"personal appeal"	0.0414425
"Klaus Kinkel"	0.0414149
cohesiveness	0.0414059
malaise	0.04139
callousness	0.0413687
nationalism	0.0411273
maneuverability	0.040995
fragility	0.0409162
"choice of words"	0.0407488
believability	0.0407304
teamwork	0.0406576
firmness	0.0406531
persistence	0.0406051
infatuation	0.0405609
wickedness	0.0405094
"sense of responsibility"	0.040444
distinctiveness	0.0404078
bravery	0.0403129
"price pressure"	0.0402934
certitude	0.0402552
downslide	0.0402077
graciousness	0.0401996
worldview	0.04017
"Parent Trap"	0.0401376
theatricality	0.0400268
))
(assessment (desc 74274.7) (sims
evaluation	0.204344
analysis	0.178683
appraisal	0.170015
review	0.14632
examination	0.13786
prediction	0.127564
audit	0.126554
finding	0.125567
study	0.124771
report	0.124374
survey	0.122596
estimate	0.122594
recommendation	0.117125
projection	0.114813
forecast	0.112676
opinion	0.112388
conclusion	0.111709
inspection	0.110957
investigation	0.109336
calculation	0.109089
interpretation	0.108479
testing	0.108109
comment	0.107371
statement	0.105756
judgment	0.105656
view	0.10231
description	0.101733
research	0.10154
discussion	0.101445
observation	0.100923
understanding	0.100048
outlook	0.0996614
test	0.0992412
explanation	0.0984411
decision	0.0982934
suggestion	0.0978953
planning	0.0972693
information	0.0968838
criticism	0.0964847
assertion	0.0955071
summary	0.0944941
statistic	0.0944104
disclosure	0.0943777
data	0.0939668
policy	0.093211
perception	0.0931062
proposal	0.0923163
management	0.0918186
indication	0.0915982
verification	0.0912939
strategy	0.0908448
advice	0.0905591
result	0.0904128
warning	0.0902472
measurement	0.0902359
awareness	0.0895092
response	0.0892551
guideline	0.0888317
plan	0.0884802
Declaration	0.0884349
monitoring	0.0882509
supervision	0.0880236
revision	0.0878533
assurance	0.0878133
reporting	0.0875917
consultation	0.0875875
diagnosis	0.08666
consideration	0.0866418
measure	0.0866307
approach	0.086557
accounting	0.0863837
inquiry	0.0862656
procedure	0.0860379
Implementation	0.0860062
detail	0.08564
remark	0.0853974
evidence	0.0853307
critique	0.0849644
indicator	0.0848257
certification	0.0844234
development	0.0841399
documentation	0.084112
preparation	0.083968
claim	0.0839475
oversight	0.0828069
action	0.0827668
analyses	0.0818292
surveillance	0.0817838
training	0.0816353
announcement	0.0815955
ruling	0.0812414
approval	0.0808093
standard	0.0805586
effort	0.0804376
program	0.0801821
account	0.0801773
requirement	0.0799853
regulation	0.079884
reassessment	0.0798387
testimony	0.0796532
knowledge	0.0786853
definition	0.0784998
aspect	0.078239
method	0.0781648
coverage	0.0781437
document	0.0780322
stance	0.0778305
overview	0.0777331
autopsy	0.077555
identification	0.0774941
prognosis	0.0770558
verdict	0.0770466
improvement	0.0768764
profile	0.0767075
resolution	0.076398
characterization	0.0761341
theory	0.0760114
enforcement	0.0759161
treatment	0.0758253
directive	0.0755848
initiative	0.0755655
tone	0.0754697
vision	0.0750459
briefing	0.0750244
presentation	0.0750149
assumption	0.0749616
scrutiny	0.0749582
probe	0.0747648
allegation	0.0743913
process	0.0743564
objective	0.0743081
reflection	0.0740261
judgement	0.0738112
appeal	0.0737824
allocation	0.0736404
handling	0.0736043
question	0.0734958
reaction	0.073391
instruction	0.0733707
maintenance	0.073366
complaint	0.073298
reduction	0.0731219
registration	0.0730899
support	0.0730139
request	0.0727905
protection	0.0726994
expectation	0.0726934
coordination	0.0725279
impact	0.0724539
provision	0.0724243
financing	0.0722178
confirmation	0.0722037
exploration	0.0721921
Promotion	0.0721511
funding	0.0720362
budget	0.0719452
deliberation	0.0719029
term	0.0717427
commitment	0.0717276
census	0.0714202
picture	0.071337
reform	0.0713204
screening	0.0712632
answer	0.0711933
adjustment	0.0708184
assistance	0.0706964
endorsement	0.0706934
argument	0.0706655
intelligence	0.0706494
outcome	0.0704838
perspective	0.070416
quality	0.0703683
selection	0.0702332
thinking	0.0702137
idea	0.0699948
arrangement	0.0698301
feedback	0.0697857
check	0.0697815
impression	0.0696703
application	0.0696255
proof	0.0694584
agreement	0.0694387
acceptance	0.0693277
formulation	0.0693086
number	0.0691705
payment	0.0690262
counseling	0.0688867
accusation	0.0688607
list	0.0686454
recognition	0.068537
scenario	0.068517
trend	0.0684736
update	0.0684693
agenda	0.0682778
negotiation	0.068216
prevention	0.0681663
operation	0.0681128
consensus	0.0680297
input	0.0680195
pronouncement	0.0679966
))
(assessor (desc 1887.76) (sims
appraiser	0.103971
"planning board"	0.0949625
notary	0.080507
Registrar	0.0767876
councilwoman	0.0754328
"public defender"	0.0743905
Magistrate	0.0720932
auditor	0.0678252
"medical examiner"	0.0657521
Tellem	0.0657233
"Department of Environmental Protection"	0.0651458
bailiff	0.063508
D.A.	0.0627703
"Board of Elections"	0.0622993
Filtration	0.0597703
"Board of Supervisors"	0.0578149
Procurator	0.0563763
"justice of the peace"	0.0562091
SBA	0.0561346
"tax base"	0.055565
installers	0.055039
"insurance agent"	0.0545403
USAID	0.0545141
adjuster	0.0543395
DFG	0.0542713
"aerospace engineer"	0.0541245
actuary	0.0537017
lexicographer	0.0536725
"investment adviser"	0.0528938
Klestil	0.0523844
"fire chief"	0.0519695
coroner	0.0518618
statistician	0.0518387
"Health Department"	0.0508008
Neel	0.0507892
"Ethics Commission"	0.050742
Klink	0.0502666
"religious order"	0.0501222
Councilors	0.0497319
mitigation	0.0494429
pharmacist	0.0493744
Hallinan	0.0491131
Morgenthau	0.0490937
ISO@@@@	0.0490068
"state's attorney"	0.0488924
"management personnel"	0.048888
Ombudsman	0.0488767
Koskinen	0.0487685
taskforce	0.048666
"council member"	0.0483544
UNDCP	0.0475258
"planning commission"	0.0473154
veterinarian	0.0472648
"welfare worker"	0.0472441
All-Tech	0.0470306
"film maker"	0.0467005
Ciampi	0.046507
Hynes	0.0458793
warden	0.0458687
horticulturist	0.0457257
"advisory board"	0.04572
"Health and Human Services Department"	0.0451637
"solicitor general"	0.0449058
NLRB	0.0445962
Councilor	0.044568
OSHA	0.04439
"tax collector"	0.0442578
"scuba diver"	0.0438967
constable	0.0437633
lifeguard	0.0437306
surveyor	0.0436391
Fiddes	0.0436225
Postmaster	0.0436114
"police office"	0.0434325
"economic expert"	0.0429166
"Liberation Front"	0.0427534
O'Hara	0.0425766
AG	0.0423649
"legal expert"	0.0423257
"extension agent"	0.0422095
arbitrator	0.0420163
jailer	0.0418877
"foster mother"	0.041713
"guardian angel"	0.0415544
"dairy farmer"	0.0414762
"minor-league team"	0.0413809
"insurance broker"	0.04136
"U.S. Labor Department"	0.041219
Liberman	0.0411251
Bunning	0.0411119
AAA	0.0409506
stagehand	0.0409049
ADL	0.0406767
FAO	0.040643
"Texas Department of Health"	0.0405477
CAA	0.0405439
underpinnings	0.0404264
Ruthardt	0.0404141
THAAD	0.0403777
midwife	0.0403727
"City Development"	0.040142
UNFPA	0.0400625
))
(asset (desc 138218) (sims
investment	0.198202
fund	0.187975
revenue	0.186234
debt	0.179423
loan	0.178041
property	0.174077
deposit	0.169807
saving	0.167401
income	0.165227
value	0.157463
profit	0.155807
capitalization	0.151834
holding	0.151471
portfolio	0.150989
money	0.149405
equity	0.147499
sale	0.143597
stock	0.13968
share	0.139209
earnings	0.138302
bond	0.1365
"market value"	0.135245
reserve	0.133766
surplus	0.132601
resource	0.129451
cash	0.128229
wealth	0.126215
transaction	0.124012
business	0.123386
payment	0.122941
cost	0.120251
expenditure	0.11764
product	0.117449
account	0.117047
"real estate"	0.115795
liability	0.115719
"tax revenue"	0.112867
tax	0.11278
goods	0.112771
amount	0.112523
"mutual fund"	0.11228
GDP	0.112096
spending	0.111332
contribution	0.110805
total	0.109421
"bank deposit"	0.109317
budget	0.107803
funding	0.107742
export	0.107571
volume	0.107117
output	0.106317
donation	0.105701
enterprise	0.105353
company	0.104207
credit	0.103744
"bad debt"	0.103146
"net profit"	0.102933
stake	0.101854
"bank account"	0.101848
operation	0.101787
sum	0.101137
worth	0.101032
sector	0.100691
financing	0.100665
"net income"	0.100659
capital	0.100577
fee	0.100574
proceeds	0.100139
project	0.0999316
"asset value"	0.0997682
salary	0.0996976
commodity	0.0996752
expense	0.0984739
inventory	0.0983947
dividend	0.097768
borrowing	0.0973366
subsidy	0.0970491
land	0.0969326
receipt	0.0965099
bank	0.0959564
interest	0.0959512
dollar	0.0955683
"Treasury bond"	0.0955436
security	0.0954636
purchase	0.0951058
benefit	0.0941333
pension	0.0939801
mortgage	0.0937288
infrastructure	0.0933931
equipment	0.0932332
loss	0.0930697
ownership	0.0930487
"pretax profit"	0.0929138
insurance	0.0924488
payroll	0.0921303
industry	0.0920326
currency	0.0915623
"market share"	0.0914367
production	0.0914321
item	0.0912494
"retail sale"	0.0910996
import	0.0909792
market	0.0905887
"gross domestic product"	0.08982
"foreign exchange"	0.0898183
lending	0.089659
deficit	0.0896279
compensation	0.0892554
premium	0.0885906
service	0.0885481
turnover	0.088344
activity	0.0875155
allocation	0.0872574
growth	0.0867409
customer	0.0867185
liquidity	0.0866017
technology	0.0864821
employee	0.0861864
venture	0.0858565
"amount of money"	0.0857957
wage	0.0856407
management	0.0851622
flow	0.0851578
endowment	0.0850902
price	0.0845704
subsidiary	0.0844083
gain	0.0842312
"stock option"	0.084212
bonus	0.083792
contract	0.0835534
ratio	0.0834341
facility	0.0833707
acquisition	0.0832346
aid	0.0830937
"trust fund"	0.0823386
"capital gain"	0.0821833
Fortune	0.0821293
license	0.0821037
unit	0.0820888
inflow	0.0820011
"Treasury bill"	0.0816915
firm	0.0816264
increase	0.0815116
"operating cost"	0.0810848
trade	0.0809976
merchandise	0.0805785
strength	0.0804068
grant	0.0802586
valuation	0.0801201
assistance	0.080077
damage	0.0798528
gift	0.0792985
"work force"	0.0792617
outlay	0.0790796
investor	0.0790218
"tax cut"	0.0787486
"gross national product"	0.0786108
supply	0.0784607
"balance sheet"	0.0781423
finance	0.0781281
workforce	0.0780762
"natural resource"	0.0780546
system	0.0775061
balance	0.0774819
"venture capital"	0.0773631
"pension fund"	0.0773614
capacity	0.077338
oil	0.0772201
number	0.0770688
option	0.0768941
package	0.0762108
economy	0.0760353
material	0.0759478
expertise	0.0759127
Housing	0.0758555
employment	0.0756733
"common stock"	0.0755583
construction	0.0755209
population	0.0751008
rate	0.0750858
ticket	0.0750361
exposure	0.074948
"growth rate"	0.0739515
"property right"	0.0739282
"tax break"	0.0738906
distribution	0.0737386
offering	0.0737284
network	0.0736605
"budget deficit"	0.0736563
estate	0.0734453
stockpile	0.0732537
shareholding	0.0731728
program	0.0731487
job	0.0730499
consumption	0.0729157
billing	0.0728934
banking	0.0727549
annuity	0.072636
power	0.0726193
development	0.072615
))
("asset sale" (desc 2483) (sims
divestitures	0.152368
"tax change"	0.117299
privatizations	0.108219
"management change"	0.106658
restructurings	0.101926
"job cut"	0.0995844
downsizing	0.099365
"bond offering"	0.0988756
"pay cut"	0.0986224
reorganization	0.0968877
buyout	0.0934682
"name change"	0.0931356
Demutualization	0.0926499
sell-offs	0.0918102
"stock split"	0.0907597
"budget cut"	0.0890789
"tax hike"	0.0854524
"policy change"	0.0852935
"spending cut"	0.0831865
cutback	0.0808794
"bond issue"	0.0788147
buybacks	0.0774998
recapitalization	0.0767025
"cost cutting"	0.0757669
layoff	0.0752184
closings	0.0742697
belt-tightening	0.0734312
Privatization	0.0733595
"bank failure"	0.0714298
"tax increase"	0.0698685
divestiture	0.0688638
"stock buyback"	0.067912
realignment	0.067848
realignments	0.0677817
spinoff	0.0658149
"rate cut"	0.0658035
"plant closing"	0.0653283
"rate hike"	0.0643823
buyback	0.0640719
"arms deal"	0.0640483
broadening	0.0636522
tie-up	0.0628694
"initial public offering"	0.0619211
manoeuvre	0.0615814
IPO	0.0614864
"space walk"	0.061348
"interest rate increase"	0.0613438
"earnings disappointment"	0.0613081
retrenchment	0.0596964
Caesarean	0.059389
shutdown	0.0587241
revamping	0.0573773
"price increase"	0.0571048
deregulation	0.0564359
"change of direction"	0.0554866
"rate increase"	0.0532022
shakeup	0.052851
dollarization	0.052848
C-section	0.0526084
sickout	0.0523519
loosening	0.0522333
canonization	0.0520984
"fund-raising drive"	0.0520257
"management shakeup"	0.0519865
liquidation	0.0516671
counter-offensive	0.0516619
"bank withdrawal"	0.0516514
"rate rise"	0.0515544
"life insurer"	0.0514995
murder-suicide	0.0512583
scaling	0.0512219
shakeout	0.0511658
write-down	0.050518
Helms-Burton	0.0501854
"accounting problem"	0.0498388
"wage freeze"	0.0497016
depreciation	0.0496839
issuance	0.0493214
"deficit reduction"	0.0493183
"Super League"	0.0490169
revaluation	0.0488077
shake-up	0.0485701
spinoffs	0.0485414
attrition	0.0483584
relocation	0.0482995
"solar radiation"	0.0481556
mega-mergers	0.0476375
"estate tax"	0.0475265
eventuality	0.0471511
"test data"	0.0470144
"pay raise"	0.0466323
bargain-hunting	0.0464588
"proxy fight"	0.046441
"work stoppage"	0.0460926
reconfiguration	0.0460013
snafu	0.0459589
rollback	0.0458717
"price fluctuation"	0.0457947
"margin call"	0.0455932
"ad blitz"	0.0455137
spin-off	0.0454956
"drug sale"	0.0454367
"bankruptcy filing"	0.0451351
"tax reduction"	0.0448898
"Lome Convention"	0.0447308
MBNA	0.0445816
stayaway	0.0445566
around-the-clock	0.0445099
drawdown	0.0443521
reshuffling	0.0441541
"tax incentive"	0.0441266
"consumption tax"	0.0441068
"possible action"	0.0440617
recycling	0.0439102
easing	0.0436712
nationalization	0.0435175
abattoir	0.0433266
flotation	0.0431768
"rising prices"	0.0431717
insolvency	0.0431006
pullbacks	0.04306
Measures	0.0428406
repurchase	0.0427387
downslide	0.0427187
"reserve fund"	0.0425703
"capital investments"	0.0425295
"hostile takeover"	0.0424973
annexation	0.0422161
airdrop	0.0421026
"inferiority complex"	0.0419018
"safety standard"	0.0418401
upgrading	0.0417869
"price cut"	0.041717
atherosclerosis	0.0416463
amortization	0.0415026
rationalization	0.0414821
AMT	0.0411977
write-off	0.0410007
"capital gains tax"	0.0409595
downturns	0.0409035
"capital gain"	0.0408361
"home sale"	0.0407259
gentrification	0.0404971
"legal proceeding"	0.0404524
"Marshall Plan"	0.0404277
"disability insurance"	0.0404204
filibuster	0.0404112
"one billion dollars"	0.040301
"leveraged buyout"	0.0402897
"reorganization plan"	0.0401929
))
("asset value" (desc 5126.75) (sims
"book value"	0.179824
capitalization	0.136174
"market value"	0.134343
"earning per share"	0.127564
"national income"	0.123503
"face value"	0.122683
ridership	0.121269
"gross national product"	0.119636
"production cost"	0.118841
GDP	0.117717
"personal income"	0.113615
"selling price"	0.110205
NPLs	0.110173
"operating cost"	0.109923
"export sale"	0.106605
"purchase price"	0.104931
"pretax profit"	0.103734
"net profit"	0.102728
"labor cost"	0.100672
GNP	0.100462
added-value	0.1003
"mortgage rate"	0.100295
asset	0.0997682
"gross income"	0.0979339
"occupancy rate"	0.0973555
"take-home pay"	0.0959534
inflow	0.0946153
valuation	0.0945564
"retail sale"	0.0944977
Tonnage	0.0943519
"vehicle sale"	0.093145
"Producer Price Index"	0.0930988
"bank rate"	0.0921618
capitalisation	0.0910164
"non-performing loans"	0.0908734
caseload	0.0902678
"medicare payment"	0.089268
"gross domestic product"	0.0889308
"insurance premium"	0.0885794
"truck sale"	0.0884831
earnings	0.0880088
"fertility rate"	0.0879257
enrollment	0.0876072
"factory order"	0.0873648
"budget deficit"	0.0871876
"retail price"	0.0867186
"bond price"	0.086708
premium	0.0865783
"money supply"	0.0855461
"profit margin"	0.0848881
"interest income"	0.0847279
viewership	0.08467
"trade surplus"	0.0837255
"investment portfolio"	0.083278
profitability	0.0831754
ratio	0.0829052
"oil price"	0.0826036
"dividend yield"	0.0825952
"steel production"	0.0824751
"tax revenue"	0.0812073
"turnover rate"	0.0809863
"net income"	0.0802825
output	0.0801304
near-collapse	0.0800757
"oil production"	0.0797557
"gas price"	0.0791145
"heart rate"	0.0790746
"market share"	0.0785679
"economic value"	0.078178
portfolio	0.0779027
receipt	0.0771995
"exchange rate"	0.0769363
"body temperature"	0.0768233
"consumer credit"	0.0765324
weightings	0.0761154
indices	0.0757642
"service charge"	0.0755706
"Philippine Stock Exchange Index"	0.075409
"tax base"	0.0752483
"elephant population"	0.0747086
"capital stock"	0.0745221
"balance sheet"	0.0742798
wage	0.0735087
"trade deficit"	0.073475
outflow	0.0733993
turnover	0.0733662
enrolment	0.0731825
remittance	0.0729601
outlay	0.0729455
"poverty rate"	0.0727913
expenditure	0.0725586
"tax income"	0.071975
"crime rate"	0.0711232
"bank deposit"	0.0710427
"housing sale"	0.0709462
"rate of inflation"	0.070422
FDI	0.0703581
"operating expenses"	0.0699721
payroll	0.0695498
"producer price"	0.0695215
payouts	0.0694427
productivity	0.0693134
"voter turnout"	0.0691197
"operating budget"	0.0691086
"birth rate"	0.0690512
allocation	0.068599
"body weight"	0.0685796
STI	0.0684535
"defense budget"	0.0683511
"capital investments"	0.0674353
"consumer demand"	0.06728
caseloads	0.0672637
"standard of living"	0.0672203
CPI	0.0669371
"retail price index"	0.0667787
"average cost"	0.0666828
Nikkei	0.066481
"cost of living"	0.0663588
"order book"	0.0661414
"inflation rate"	0.066018
workforce	0.0656479
acreage	0.0653752
"borrowing cost"	0.065242
intake	0.0652137
throughput	0.0650585
"key rate"	0.0648146
borrowing	0.0646015
inventory	0.0645205
"Tokyo Stock Price Index"	0.0645129
"marketing cost"	0.0645083
"consumer price index"	0.0643031
"production ceiling"	0.0637857
voltage	0.063785
liquidity	0.0634669
"unemployment rate"	0.0632975
joblessness	0.0630713
"ordinary shares"	0.0629129
"offer price"	0.0628166
"New Zealand dollar"	0.0623003
"capital expenditure"	0.0621512
"labor force"	0.0620781
"land area"	0.0620656
"wholesale price index"	0.0619274
"bad debt"	0.061915
"growth rate"	0.0619015
equity	0.0617303
"tax collection"	0.061646
"closing price"	0.0616058
"earnings growth"	0.0615631
lending	0.0615489
"home sale"	0.0614491
"Social Security benefit"	0.0614469
weighting	0.0611024
sum	0.0608867
consumption	0.0607369
"discount rate"	0.0603245
"life expectancy"	0.0598958
"preferred shares"	0.0598601
reserves	0.0597603
"air pressure"	0.0596867
"trade balance"	0.0594651
"admission price"	0.0593464
"surface area"	0.0592086
"blood sugar"	0.0591101
"trading activity"	0.0591054
"Official Development Assistance"	0.0590413
stockpile	0.0589823
readership	0.0588819
"rate of growth"	0.0581469
divestment	0.0581336
"market penetration"	0.0581093
density	0.0579291
"production capacity"	0.0579209
"retirement age"	0.0577387
"tax rate"	0.0577198
"foreign direct investment"	0.0576388
unemployment	0.0576261
"funds rate"	0.0574877
"blood pressure"	0.0572918
savings	0.0572408
overdraft	0.0572011
disbursement	0.0571682
"price tag"	0.0571488
"death rate"	0.0570791
"water level"	0.0568375
circulation	0.0568265
"admission fee"	0.0567971
dividend	0.0567184
"investor confidence"	0.0563186
"mortality rate"	0.0560944
"test score"	0.0558702
"vacancy rate"	0.0557089
"offering price"	0.0556798
non-Social	0.0552527
incidence	0.0552497
non-oil	0.0552497
booking	0.0550373
rupiah	0.0550273
availability	0.0549108
competitiveness	0.0544247
))
(assignation (desc 1010.22) (sims
tryst	0.160969
"blind date"	0.0898085
dalliance	0.0806144
escapade	0.0780438
rendezvous	0.0703975
tete-a-tete	0.0627501
coverup	0.0580864
colloquy	0.0567481
"tape recording"	0.0554462
"sexual intercourse"	0.0545608
"germ warfare"	0.0538838
orthodontist	0.0531607
dyslexia	0.0512742
"arms deal"	0.0505674
feeler	0.050328
flavour	0.0480988
kissing	0.0475826
avocation	0.0468624
"Little Dog"	0.046414
"high treason"	0.0462419
vendetta	0.0460888
"herb garden"	0.045915
"employment contract"	0.0458078
"pen pal"	0.0453277
debriefing	0.0446932
"small talk"	0.0442777
"field day"	0.0442438
go-round	0.043942
"business relation"	0.0435578
double-double	0.0434083
repast	0.0430787
"sex act"	0.0427328
coupling	0.0426104
one-upmanship	0.0423934
repartee	0.0419668
fumigation	0.0417466
Ibarra	0.0416128
sleepovers	0.041578
staterooms	0.0415671
firefights	0.0413526
dustup	0.0407805
complementarity	0.040774
entanglement	0.0402003
soulmate	0.0401936
"sexual activity"	0.0400026
))
(assignment (desc 62963.7) (sims
job	0.095213
duty	0.0926267
appointment	0.0908538
stint	0.0897891
task	0.0861738
Mission	0.0806516
training	0.0709524
trip	0.0706286
vacation	0.0675615
chore	0.0666478
role	0.06604
Promotion	0.0651706
exercise	0.0648744
opportunity	0.0648245
career	0.0647388
position	0.0646166
responsibility	0.0637784
outing	0.0631994
post	0.0630886
program	0.0627585
experience	0.0624073
operation	0.0618398
salary	0.0610529
contract	0.0607582
appearance	0.0606834
project	0.0604158
demotion	0.060086
sabbatical	0.0596496
selection	0.0593801
situation	0.0592236
extension	0.0591334
service	0.0590963
"training program"	0.0589895
instruction	0.0589286
evaluation	0.0588828
tour	0.0588387
profession	0.0582913
deployment	0.0580227
decision	0.0580076
list	0.0578608
strategy	0.0577289
inquiry	0.0575622
recommendation	0.0571566
homework	0.0570634
challenge	0.0568764
suspension	0.0566649
arrangement	0.0560137
test	0.0559754
course	0.0559571
deal	0.055557
status	0.0554523
workout	0.0554437
nomination	0.0553594
activity	0.055333
gig	0.0552648
skill	0.0548705
investigation	0.0546621
review	0.0545358
procedure	0.0544186
scenario	0.0543648
bonus	0.0542475
action	0.0541817
option	0.0541131
trial	0.0540264
location	0.0538645
flight	0.0538459
staff	0.0537978
tenure	0.0537698
requirement	0.0536339
lesson	0.0534788
award	0.0533733
rehab	0.0532465
life	0.0531862
examination	0.0530115
journey	0.0530047
entry	0.0529579
prize	0.0528829
Exam	0.0528789
application	0.0528354
assessment	0.052797
problem	0.052792
thing	0.0526986
event	0.0526699
performance	0.0526461
effort	0.0523629
allocation	0.0522036
choice	0.0520293
rehabilitation	0.0519646
paperwork	0.0519193
advice	0.0519094
"tour of duty"	0.051877
account	0.0518527
function	0.0517829
request	0.0517774
payment	0.0517685
case	0.0517271
subject	0.0516964
matter	0.0516513
spot	0.0516198
class	0.0515076
adjustment	0.0515074
detail	0.0514863
inspection	0.0514153
scholarship	0.0513698
experiment	0.0513422
concession	0.0512931
scheme	0.0510806
practice	0.0510651
competition	0.0510511
success	0.0509743
employment	0.0509372
"pay raise"	0.0509084
research	0.0508651
series	0.0508628
method	0.0505967
distribution	0.0505917
tactic	0.050469
routine	0.0504387
testing	0.0502888
regimen	0.0502253
registration	0.050161
term	0.0501337
treatment	0.050007
sentence	0.0500044
search	0.0499168
document	0.0499163
placement	0.0499142
direction	0.0498957
interview	0.049888
development	0.0496916
hiring	0.0496165
"game plan"	0.0495677
admission	0.0494409
material	0.0494119
retirement	0.0493268
policy	0.0492536
roster	0.0492325
ticket	0.0492029
proposal	0.0491978
apprenticeship	0.0491147
outcome	0.0490631
layoff	0.0490581
money	0.0490443
purchase	0.048876
"coaching job"	0.0488491
measure	0.04883
technique	0.0487813
directive	0.0487731
"military service"	0.0487345
incentive	0.0487234
recruitment	0.0485226
drill	0.0485066
chance	0.0484836
qualification	0.0483796
education	0.0482992
meeting	0.048284
mandate	0.0482164
bill	0.0481633
information	0.0481294
compensation	0.0480754
coverage	0.0480309
discipline	0.0477866
presentation	0.0477721
planning	0.0477192
appeal	0.0477103
attention	0.0476914
fee	0.0476599
rotation	0.0476262
perk	0.0475247
package	0.047476
condition	0.047474
presence	0.0474495
preparation	0.0473547
audition	0.04734
audit	0.0472851
"job offer"	0.0472585
funding	0.0472076
comeback	0.0471303
finding	0.0470883
idea	0.0470269
departure	0.0467343
reform	0.0467054
resignation	0.0466967
date	0.0466949
title	0.0466856
answer	0.0466314
probation	0.0466216
visa	0.0466006
circumstance	0.0465988
grade	0.046491
contest	0.0464907
session	0.0464895
transaction	0.0464886
credit	0.0464846
residency	0.0464781
access	0.0463887
budget	0.0463522
accomplishment	0.0463489
improvement	0.0463473
identification	0.0463445
))
(assimilation (desc 6546.83) (sims
integration	0.0904288
reintegration	0.0863169
Emigration	0.0859085
urbanization	0.0856564
dispersal	0.0826326
pacification	0.0761859
reentry	0.073154
absorption	0.0714968
migration	0.0701235
sterilization	0.0694339
Vilification	0.0683749
extermination	0.0680688
deportation	0.0679803
centralization	0.0669707
marginalization	0.064495
oppression	0.0641695
commercialization	0.0641048
expansionism	0.0636738
influx	0.0634992
displacement	0.0625969
tolerance	0.0624337
diversity	0.0621674
divisiveness	0.0619002
nationalism	0.0618639
industrialization	0.0614631
internment	0.0610967
multiculturalism	0.0610382
repression	0.0609568
resettlement	0.0609372
intolerance	0.0608356
globalization	0.060692
non-cooperation	0.0601768
relocation	0.059706
popularization	0.0595962
alienation	0.0595224
emancipation	0.0593292
melting	0.0586365
intimidation	0.0583824
patriotism	0.0583061
evaporation	0.0582942
persecution	0.0582012
unity	0.0581332
hatred	0.0581053
militancy	0.0581016
interdependence	0.0578839
immigration	0.0576078
"cost cutting"	0.0574926
deflation	0.0572828
circumcision	0.0571842
diversification	0.0570137
rapprochement	0.0570002
protectionism	0.0569165
Liberalization	0.0559109
tribalism	0.0558383
annihilation	0.0558288
repatriation	0.0550517
inequality	0.0550208
appeasement	0.05454
eviction	0.0544264
empowerment	0.0542645
continuity	0.0542392
unionization	0.0542289
disinformation	0.0540034
healing	0.0539178
piracy	0.0538909
equality	0.0535264
desegregation	0.0533462
erosion	0.0533033
"brain drain"	0.0531296
factionalism	0.0530945
cross-pollination	0.0530074
reconciliation	0.0529612
pluralism	0.052799
xenophobia	0.0527843
deforestation	0.0527506
racism	0.0526693
recruitment	0.052586
standardization	0.052539
abandonment	0.0525185
opening-up	0.0519894
teamwork	0.0519175
moderation	0.0517519
modernization	0.0517506
decay	0.0516812
absenteeism	0.0513578
decentralization	0.0513268
expulsion	0.0513249
forgiveness	0.0512538
relapse	0.051227
naturalization	0.0511534
segregation	0.0510477
conversion	0.0509643
consolidation	0.0509135
democratization	0.0509106
disaffection	0.0508833
subjugation	0.0508479
Proliferation	0.0507555
destabilization	0.0505446
dispossession	0.0504798
self-reliance	0.0504606
separation	0.0500796
disintegration	0.0500692
transformation	0.0500431
eradication	0.0499092
cohesion	0.0498437
containment	0.0497932
retrenchment	0.0497072
mistreatment	0.0495961
demobilization	0.0495703
extremism	0.0495661
fundamentalism	0.0494203
penetration	0.0492837
categorization	0.0491684
internationalization	0.049146
impoverishment	0.0491306
exodus	0.0489759
redistribution	0.0488438
homeownership	0.0488055
evolution	0.048778
dispersion	0.0487376
harassment	0.0487045
diffusion	0.0486446
"free trade"	0.0486257
isolation	0.0485973
Ostracism	0.0485857
pragmatism	0.048566
SIDS	0.0485367
retooling	0.0485287
"birth control"	0.0485147
Americanization	0.0484921
dissemination	0.0483787
merging	0.0483415
apathy	0.0482871
inclusion	0.0479574
recidivism	0.0479487
mechanization	0.0478264
suffocation	0.0477651
maltreatment	0.0477009
downsizing	0.0475993
acceptance	0.0475911
noncompliance	0.0475857
Fascism	0.0474278
nonviolence	0.0474234
cohesiveness	0.0473852
"population control"	0.0472251
photosynthesis	0.0471756
malnutrition	0.0471566
infiltration	0.0471371
vaccination	0.0470961
conscription	0.0469196
removal	0.0467908
polarization	0.0465781
incorporation	0.0465604
literacy	0.0464995
imperialism	0.0463812
annexation	0.0463505
"urban sprawl"	0.0462532
self-discipline	0.0462439
Openness	0.0462197
nationhood	0.0459279
maturation	0.045913
depletion	0.0458851
degradation	0.0458753
"lead poisoning"	0.0458204
deprivation	0.0457175
joblessness	0.0457166
"land reform"	0.0456621
individuality	0.0455903
clotting	0.0455867
colonization	0.0455195
dislocation	0.0455171
Privatization	0.0454861
fertility	0.0454322
fumigation	0.0454094
recycling	0.0453289
manhood	0.0451458
Convergence	0.0451415
regionalization	0.0450518
incursion	0.0450389
austerity	0.0449444
"civil disobedience"	0.0449078
abstinence	0.0448383
civility	0.0448281
disarmament	0.0447721
accumulation	0.0446404
decommissioning	0.0445925
Capitalism	0.0444263
"New Labor"	0.0444005
brutality	0.0443384
harmony	0.0442483
integrating	0.044186
realignment	0.0439373
intrusion	0.0439189
homophobia	0.0439148
warfare	0.0438586
activism	0.0437577
exploitation	0.0437446
purification	0.043739
belt-tightening	0.0437374
"racial segregation"	0.0437313
))
(Assisi (desc 1188.31) (sims
Catania	0.109553
Cavalese	0.108734
Posoltega	0.107478
Kizlyar	0.101022
Golcuk	0.0966025
Kabwe	0.096001
Decani	0.0956703
Salerno	0.0927519
Marjayoun	0.0918129
Nazareth	0.0875357
Yekaterinburg	0.0866158
Makeni	0.0863109
Pisa	0.0799905
Kismayu	0.0793103
Limassol	0.079289
"Renzo Furlan"	0.0762539
Sylhet	0.0761505
Haicheng	0.0760908
Kanungu	0.0757602
Genoa	0.0736585
"San Angelo"	0.0736335
Casas	0.0733888
"Max Biaggi"	0.0729383
Trieste	0.0729108
Tachilek	0.0729106
"San Cristobal"	0.0723944
Florence	0.0714747
Moshi	0.0711296
Batticaloa	0.070184
"Kinder Bologna"	0.069833
"Kosovo Polje"	0.0696401
"Isolde Kostner"	0.0684601
Talipao	0.0681573
Izmit	0.0675419
Trincomalee	0.0673727
Sihanoukville	0.0673517
Luca	0.0670737
Avignon	0.0662629
Bamiyan	0.0658747
"Victoria Falls"	0.0658213
Nabatiyeh	0.0656824
"Francesco Casagrande"	0.0656349
"Rita Grande"	0.0653764
Dodoma	0.064974
Wildwood	0.0648612
Cacak	0.0647947
Caguan	0.064726
Orahovac	0.0645665
Eschede	0.0645117
Merca	0.0643371
Nago	0.0642212
Mostar	0.0639055
Dubrovnik	0.0632195
"Michele Bartoli"	0.063192
Spoleto	0.0630933
Srbica	0.0630565
Rafah	0.0629173
Khost	0.0628961
Ruhengeri	0.0628451
Pailin	0.0628224
Beersheba	0.0627102
Andulo	0.0624813
Urus-Martan	0.0622024
Krakow	0.0620385
Benguela	0.0618467
"Prada Challenge"	0.060904
Vlore	0.0607625
Samara	0.0603352
Dundalk	0.060177
Kismaio	0.0598503
Paphos	0.0597311
Imola	0.0596366
"Santa Maria"	0.0595254
Taba	0.0593056
Kraljevo	0.0592055
Beira	0.0590503
Bundibugyo	0.0588275
Kilinochchi	0.0587329
Shali	0.0583027
Drumcree	0.0581062
Cochabamba	0.0578574
Caprivi	0.057726
Nakuru	0.0576837
Monza	0.0575561
Pancevo	0.0571575
Winchester	0.0568932
Multan	0.0566179
Mankulam	0.0565274
Bayonne	0.0563475
Hempstead	0.0562932
Bormio	0.0557154
Vavuniya	0.0553791
Gulu	0.055132
Uvira	0.0549741
Lucerne	0.0549681
Weimar	0.054713
Prijedor	0.05471
Derry	0.0547092
Vedeno	0.0546056
Puglia	0.0544268
Paranthan	0.0541927
Gisenyi	0.054017
Lijiang	0.0539558
Antioch	0.0538426
Ife	0.0536719
Zhangbei	0.0536137
Mbale	0.0534742
"Silvia Farina"	0.053178
Lhokseumawe	0.0528532
"San Lorenzo"	0.0527135
Chamonix	0.0527053
"Big Sur"	0.052615
Bailundo	0.0524784
Grande	0.0524383
Matadi	0.0524231
"SIERRA BLANCA"	0.0523867
Warri	0.0523592
"Suva Reka"	0.0523498
"Greek capital"	0.0522356
Kragujevac	0.0522209
Kigoma	0.0521179
Vukovar	0.0519686
"San Salvador"	0.0519592
Montpelier	0.051833
"San Sebastian"	0.0518283
Siena	0.0515525
"Max Papis"	0.0515425
Pompeii	0.0514845
"Gianluca Pozzi"	0.0514343
"Deborah Compagnoni"	0.0511341
Larnaca	0.0510866
Atambua	0.0509305
una	0.050853
Isfahan	0.0507254
Brcko	0.0506279
Bengkulu	0.0505876
"Diego Nargiso"	0.0505715
Kalemie	0.050435
Brewster	0.0503147
Ibadan	0.0502503
Ballymoney	0.050112
Baidoa	0.0499911
Leskovac	0.049909
Mwanza	0.0495238
Ensenada	0.0494539
Bukavu	0.0494339
Ipswich	0.0494024
Belacevac	0.0492099
Kandy	0.0491114
"St. Thomas"	0.0490258
Canterbury	0.0489924
Drenica	0.0489819
Makhachkala	0.0489744
"Kathmandu Valley"	0.04878
"Mojave Desert"	0.0486527
"Davide Sanguinetti"	0.0485682
Peterborough	0.0485602
Entebbe	0.0485518
"Mario Cipollini"	0.0484858
Sestriere	0.0483816
Princeville	0.048378
Taloqan	0.0483425
Sochi	0.0482731
Jenin	0.0482404
"Mount Pleasant"	0.0481176
lira	0.0480301
Mbarara	0.0478234
Tapachula	0.0477388
"San Miguel"	0.0473176
Arua	0.047146
Sirte	0.0471313
"North Georgia"	0.0469349
Tokaimura	0.0467613
Gnjilane	0.0464445
Arad	0.0461949
"Orthodox Christian"	0.0461934
"East Orange"	0.0461176
Kenema	0.0460904
Norwich	0.0460047
Ashkelon	0.045864
Cebu	0.0458485
Coptic	0.0456987
Pereira	0.0456033
este	0.0455822
Kargil	0.0454838
Londonderry	0.0454733
Mayberry	0.0454126
"St. Augustine"	0.0454024
Blace	0.045376
Badme	0.0452238
Zhangjiakou	0.045197
"Sinai Peninsula"	0.0451186
"South Sulawesi"	0.0450224
Podujevo	0.0449101
Jericho	0.0447546
Karbala	0.0445987
NIS	0.0444389
Kaduna	0.044412
Kuito	0.0442625
Kisumu	0.0441775
))
(assist (desc 9419.84) (sims
"free kick"	0.092291
header	0.0867263
"field goal"	0.0852441
"free throw"	0.0818212
touchdown	0.0793016
RBI	0.0762938
"five points"	0.0757245
game-winner	0.0752728
"first points"	0.0729048
dunk	0.070686
"three sacks"	0.0705124
jumper	0.0705072
triple-double	0.069724
shutout	0.0689348
"home run"	0.0681403
hat-trick	0.0672836
TDs	0.0668137
TD	0.0668137
"eight points"	0.0667059
layup	0.0660819
"corner kick"	0.0659722
scoring	0.0657778
"three points"	0.0657777
"nine points"	0.0652402
"four points"	0.0638059
"seven points"	0.0632802
"power play"	0.061894
no-decision	0.0618298
"six points"	0.0609251
interception	0.0606641
deflection	0.0602849
double-double	0.0590577
"first pole"	0.0574609
strikeout	0.0569795
"jump shot"	0.0564957
"break of serve"	0.0560976
"two points"	0.0557178
"fifth homer"	0.0555505
"five homers"	0.0552994
tip-in	0.0549083
no-decisions	0.0544871
"solo homer"	0.0533099
"first basket"	0.0514143
breakaway	0.0504868
punt	0.0499288
layups	0.0494541
"foul shot"	0.0492138
"two homers"	0.0484269
"service break"	0.0477455
"No. @,@@@"	0.047698
"third homer"	0.047659
ejection	0.0459176
"bank shot"	0.0454947
"second homer"	0.0447146
"first homer"	0.0447123
"five @-pointers"	0.0445899
"seventh homer"	0.0442851
"seven homers"	0.0442063
"first point"	0.0431084
outs	0.0430946
"grand slam"	0.0423099
"four homers"	0.0417448
at-bat	0.0414067
"base hit"	0.0413967
"three homers"	0.0412157
backhander	0.0411487
team-high	0.0409755
equalizer	0.0408809
three-pointer	0.0407862
"unearned run"	0.0407467
putback	0.0405894
no-hitter	0.0405632
downs	0.0404309
afterburner	0.0402946
"four sacks"	0.0401697
"breathing room"	0.0400946
))
(assistance (desc 136013) (sims
aid	0.295398
"financial aid"	0.225516
loan	0.219382
help	0.204411
"food aid"	0.197569
support	0.195218
funding	0.192647
grant	0.185042
subsidy	0.177933
financing	0.175456
fund	0.163426
relief	0.159721
donation	0.156769
credit	0.155895
investment	0.15504
cooperation	0.148022
contribution	0.14485
compensation	0.138983
money	0.135904
payment	0.134521
program	0.133128
benefit	0.130147
participation	0.129811
protection	0.129376
incentive	0.127976
resource	0.12634
supply	0.124582
"tax break"	0.122133
training	0.120736
service	0.11832
"tax credit"	0.117863
package	0.117381
input	0.116122
project	0.115398
lending	0.115154
effort	0.114293
education	0.114014
guarantee	0.113235
commitment	0.112232
"medical care"	0.111435
allocation	0.111037
expertise	0.11054
export	0.110509
initiative	0.109944
access	0.10971
"food stamp"	0.109226
scholarship	0.108319
disbursement	0.10816
"medical aid"	0.107087
intervention	0.106989
equipment	0.106942
counseling	0.106342
improvement	0.106186
care	0.105938
development	0.105469
reform	0.103649
advice	0.103525
insurance	0.102297
treatment	0.101871
reduction	0.101825
measure	0.101688
information	0.101417
"health care"	0.100969
Housing	0.100419
welfare	0.100243
pension	0.100076
saving	0.0997403
food	0.0992356
"social service"	0.0992215
debt	0.098786
infrastructure	0.0984768
policy	0.0979375
dollar	0.0971891
approval	0.0968606
spending	0.096751
import	0.0961021
backing	0.0960795
"U.S. Dollars"	0.0957248
concession	0.0951447
facility	0.0948436
activity	0.0946082
guidance	0.0944967
"tax incentive"	0.0944906
employment	0.0942727
transfer	0.0938042
"credit line"	0.0930304
involvement	0.0929522
security	0.0925928
technology	0.0924834
coverage	0.0924569
cost	0.0923463
reparation	0.092324
expenditure	0.0920331
bailout	0.0920141
allowance	0.091971
coordination	0.0919154
revenue	0.0918221
reimbursement	0.0914378
exemption	0.0913609
budget	0.0913532
Promotion	0.0913351
visit	0.0913131
cash	0.0911096
"tax cut"	0.091091
attention	0.0907625
goods	0.0898091
personnel	0.089573
stability	0.0895332
encouragement	0.0891224
borrowing	0.0889244
voucher	0.0888546
"health insurance"	0.0885775
opportunity	0.0885255
distribution	0.0883213
amnesty	0.0878157
gift	0.0875566
fee	0.0874043
income	0.0872914
rehabilitation	0.0872258
bonus	0.0871584
rebate	0.0870192
expense	0.0870026
refund	0.0867305
action	0.086532
Mission	0.086468
research	0.0864358
arrangement	0.0863722
deployment	0.0861521
construction	0.0858387
supervision	0.0858204
tax	0.0857319
"export credit"	0.0857042
plan	0.085664
visa	0.0855684
Medicaid	0.0854338
interest	0.0853972
Implementation	0.0852622
"cash payment"	0.0847699
sale	0.0844879
operation	0.0842469
"vocational training"	0.0839939
transportation	0.0838824
peace	0.0837746
application	0.0837566
"training program"	0.0837233
shipment	0.0836479
management	0.0833274
trade	0.0832701
inflow	0.0831978
solution	0.0831212
agreement	0.0830897
assurance	0.0829063
consultation	0.0828995
permit	0.0828252
membership	0.0827513
purchase	0.082597
recognition	0.0825669
material	0.0822489
medicine	0.0816228
priority	0.0810406
progress	0.0807076
"health service"	0.0804245
"foreign exchange"	0.0802894
weapon	0.0801963
asset	0.080077
work	0.0800733
repatriation	0.0799889
handout	0.0798278
role	0.0796791
know-how	0.0795634
autonomy	0.0795546
flexibility	0.0795128
proposal	0.079364
maintenance	0.0793147
exchange	0.0792715
expansion	0.0790267
integration	0.0788238
"family planning"	0.0788221
capability	0.078696
scheme	0.0786754
salary	0.0785498
Manpower	0.0784689
strategy	0.0783999
planning	0.0782688
contract	0.0782319
outreach	0.0781976
"child care"	0.0779843
Tuition	0.0778821
use	0.0777568
sector	0.0774454
tourism	0.0774034
provision	0.0772299
"tax revenue"	0.0771931
repayment	0.0771614
remittance	0.0771375
license	0.0770081
damage	0.0770039
mediation	0.0769362
response	0.0767696
job	0.0766695
))
(assistances (desc 1402.93) (sims
"medical aid"	0.11098
succor	0.106925
"financial aid"	0.0953394
"credit line"	0.0753322
"tax treatment"	0.0747168
"Official Development Assistance"	0.0727764
"export credit"	0.0721775
"one billion dollars"	0.0702587
"food aid"	0.0658087
"annual payment"	0.064441
"personal appeal"	0.0633972
"first tour"	0.0633718
"financial obligation"	0.0630975
"olive branch"	0.0626432
restitution	0.0617884
"logistic support"	0.0616818
NTR	0.0608539
reparation	0.0599142
"free rein"	0.0597079
"consumer loan"	0.0589092
outreach	0.0580148
materiel	0.0573696
indemnity	0.057148
lifeline	0.0571199
"information service"	0.0570936
rations	0.0562215
remittance	0.0560359
corrective	0.0558756
"work permit"	0.0538392
"distress signal"	0.0529851
deductibility	0.0527886
leniency	0.0525507
"production ceiling"	0.0524806
"sum of money"	0.0524488
wherewithal	0.0522172
know-how	0.0518919
"food supply"	0.0514064
"tax benefit"	0.0509197
guidepost	0.0508196
Brahimi	0.0507258
"compensation package"	0.0507131
"hypodermic needle"	0.0502105
manoeuvre	0.0498332
ultimatum	0.0496804
"financial loss"	0.0495665
connectivity	0.0493991
"Special Economic Zones"	0.0490071
newbies	0.0487371
interdependence	0.0486129
"deficit spending"	0.0483209
"line of credit"	0.0482501
customization	0.0482136
consortia	0.0479687
remuneration	0.047741
"nursing care"	0.0475441
ODA	0.0474123
"marriage license"	0.0474013
downslide	0.0471162
Daigle	0.0471157
decision-makers	0.0470686
"legal status"	0.0469364
"safety valve"	0.0469179
"permanent normal trade relations"	0.0468368
"intelligence operation"	0.0468027
"credit report"	0.0465173
consultancy	0.046472
"long-distance call"	0.0463301
"power of attorney"	0.0463255
"written material"	0.0462468
armament	0.0462295
inducement	0.046096
meltdowns	0.045827
airdrop	0.0455785
"hospital care"	0.0454887
"tax incentive"	0.0454284
centrality	0.0453855
"moral obligation"	0.0453618
specialization	0.0453162
uptrend	0.0449872
appropriation	0.0449827
abatement	0.0447374
mailing	0.0446781
"cash payment"	0.04461
continuance	0.0445464
time-out	0.0444952
deferment	0.0443208
rescheduling	0.0441947
macro-control	0.0441933
ECU	0.0441475
underpinning	0.0440144
fillip	0.0439021
"health benefit"	0.04377
triage	0.0436045
applicability	0.0435864
"medicare payment"	0.0433699
policymaker	0.0433447
"foreign direct investment"	0.043295
"field hospital"	0.043265
MFN	0.0429098
"inside information"	0.0428787
readout	0.0428055
"tax deduction"	0.0427631
roadmap	0.0426958
"name and address"	0.0426939
"account statement"	0.0426668
"breathing space"	0.0425831
felicitation	0.0424638
"snake oil"	0.0424052
"E mail"	0.0423506
commutation	0.0422321
easements	0.0421689
self-government	0.0421465
"death benefit"	0.0420889
FDI	0.0419027
cushioning	0.041858
"disability benefit"	0.0417648
"quick fix"	0.041607
"more than @@@ million dollars"	0.0413335
"service agency"	0.0411558
resistence	0.0411319
coda	0.0411218
"confidential information"	0.0409994
renegotiation	0.0408725
"one million yuan"	0.0408095
"legal principle"	0.0407715
"co- operation"	0.0406372
"retirement benefit"	0.0405749
ECUs	0.0404974
"tax advantage"	0.0404565
Diagnoses	0.0404531
symposia	0.0404368
T-bonds	0.0403994
reassurance	0.0401599
ambassadorship	0.0401337
))
(assistant (desc 91642.4) (sims
coordinator	0.165917
coach	0.163896
aide	0.134408
adviser	0.122269
consultant	0.114127
counselor	0.109125
clerk	0.107179
manager	0.105493
teacher	0.104135
"general manager"	0.103844
director	0.103421
staff	0.103267
administrator	0.101824
"basketball coach"	0.100755
nurse	0.0999879
secretary	0.0993522
associate	0.0986009
instructor	0.0966932
"staff member"	0.0952853
engineer	0.0952738
technician	0.0949785
supervisor	0.0947128
advisor	0.0920407
lawyer	0.0910036
editor	0.090992
player	0.0908285
"football coach"	0.0903901
officer	0.0894791
scout	0.0893197
doctor	0.0887746
Attorney	0.0886899
staffer	0.0886203
intern	0.0885695
quarterback	0.0872807
accountant	0.0867461
receptionist	0.0864014
trainer	0.0860571
physician	0.0853158
employee	0.0846364
executive	0.0846033
professor	0.0837623
deputy	0.0832588
"line coach"	0.0827684
"social worker"	0.0822039
"security adviser"	0.0821393
friend	0.0812182
"chief of staff"	0.0801146
psychologist	0.0793757
agent	0.0792907
publicist	0.0791911
professional	0.0790552
"vice president"	0.078941
specialist	0.0788607
volunteer	0.0784923
principal	0.0778025
worker	0.0777352
mentor	0.0776763
guard	0.0769906
teammate	0.0767933
researcher	0.0761536
superintendent	0.076134
chief	0.0754322
linebacker	0.0752911
freshman	0.0751576
writer	0.0750883
receiver	0.075075
bookkeeper	0.0749065
therapist	0.0748207
tutor	0.0747084
photographer	0.074305
bodyguard	0.0741609
starter	0.0740987
"press secretary"	0.0740401
"faculty member"	0.0739293
prosecutor	0.0729998
reporter	0.0729818
Counsel	0.0729369
mechanic	0.0727893
student	0.0726909
"security guard"	0.0722614
expert	0.07192
recruiter	0.0716447
"coaching job"	0.0711203
designer	0.0707905
commissioner	0.0707872
lecturer	0.0707115
"police officer"	0.0706723
attendant	0.0704623
correspondent	0.0704351
educator	0.0702706
Bos	0.0698718
dean	0.0697495
official	0.0696586
housekeeper	0.069529
pastor	0.0694591
Lieutenant	0.0691963
sophomore	0.069028
driver	0.0689196
colleague	0.0687409
pilot	0.0686809
successor	0.0685813
owner	0.0683457
journalist	0.0680484
curator	0.0680169
"board member"	0.0679256
janitor	0.0678293
trainee	0.0677038
member	0.0676032
scientist	0.0673798
co-worker	0.0671455
captain	0.0670967
wife	0.0670681
career	0.0667912
Programmer	0.066653
senior	0.0664197
organizer	0.0661403
representative	0.0660475
trustee	0.0660352
investigator	0.0660063
"running back"	0.0659995
man	0.0658081
team	0.065503
"flight attendant"	0.0654706
surgeon	0.0654495
graduate	0.0653851
"graduate student"	0.0653105
helper	0.0650899
detective	0.0647117
veteran	0.064443
treasurer	0.0644176
job	0.064397
interpreter	0.064172
"executive vice president"	0.0640925
auditor	0.0638404
lineman	0.0638089
"investment banker"	0.0637614
lobbyist	0.0637496
chef	0.0637209
"cabinet minister"	0.0635977
"secretary of state"	0.0632624
conductor	0.0632399
translator	0.0629115
"truck driver"	0.0628936
personnel	0.0628415
backup	0.0627667
architect	0.0627471
"tight end"	0.0624291
inspector	0.0623881
All-American	0.0619212
psychiatrist	0.0618549
mother	0.0618116
fellow	0.0617288
"deputy director"	0.0616445
lifeguard	0.0616281
fan	0.0615727
partner	0.0614594
servant	0.0611888
apprentice	0.0611641
guy	0.0611088
"free agent"	0.0609741
waitress	0.0608409
star	0.0606704
analyst	0.0606258
CEO	0.0606044
librarian	0.060592
scholar	0.0603877
confidant	0.0603732
General	0.0603162
brother	0.0603026
someone	0.0602349
waiter	0.0602292
"general counsel"	0.0601724
companion	0.0600445
producer	0.059336
"basketball player"	0.0593117
rookie	0.0592876
"FBI agent"	0.0590396
chaplain	0.058985
judge	0.0589529
"bus driver"	0.0588459
controller	0.0586207
maid	0.0586106
caddie	0.0584777
father	0.0584638
office	0.0583845
contractor	0.0581774
chairman	0.0581293
"pitching coach"	0.0580749
minister	0.0580576
commentator	0.0580344
"senior vice president"	0.057949
banker	0.0579054
operator	0.0578578
President	0.0576216
"civil servant"	0.0573427
Governor	0.0573133
chemist	0.0573116
announcer	0.0572993
stockbroker	0.0572967
classmate	0.0571993
))
("assistant professor" (desc 13927.1) (sims
"associate professor"	0.452325
professor	0.264519
"visiting professor"	0.197426
lecturer	0.158151
sociology	0.134152
"graduate student"	0.128361
gynecology	0.12666
"political scientist"	0.123255
sociologist	0.116198
psychiatry	0.115751
psychologist	0.110889
researcher	0.110516
"American Journal"	0.107803
dean	0.106644
"political science"	0.104327
geneticist	0.104163
epidemiologist	0.103963
neurologist	0.101242
faculty	0.100582
historian	0.0995841
"English professor"	0.0987645
biologist	0.0980278
entomologist	0.0972323
anthropologist	0.0970666
"faculty member"	0.0952258
neurology	0.0914478
physiologist	0.0906244
immunologist	0.0905181
neuroscientist	0.0892782
cardiologist	0.0888116
internist	0.0855955
ecologist	0.0836538
"Chinese Society"	0.0824438
instructor	0.0822802
psychology	0.082184
microbiologist	0.08171
biochemist	0.0815212
Provost	0.0811254
specialist	0.0804779
scholar	0.0803888
anthropology	0.0795292
professorship	0.0791654
"clinical psychologist"	0.0784119
"graduate school"	0.0778083
oncologist	0.0773586
endocrinologist	0.0773288
Pediatrics	0.0761632
coauthor	0.0758855
"English department"	0.074789
undergraduate	0.0746634
doctorate	0.0738552
Ph.D	0.0737383
toxicologist	0.0736915
pediatrician	0.0731999
fellow	0.072898
oncology	0.0725395
geographer	0.0719049
neurosurgeon	0.0706945
economics	0.0705624
librarian	0.0705538
neuroscience	0.0702018
epidemiology	0.0691858
physicist	0.0691378
psychiatrist	0.0680958
"computer science"	0.0679015
"art historian"	0.0667159
"basketball coach"	0.0662792
"preventive medicine"	0.065672
linguist	0.0654659
"law student"	0.0651389
nutritionist	0.0637612
annals	0.0633349
pathologist	0.0627431
chemist	0.0625098
co-director	0.0623447
psychoanalyst	0.0621652
"molecular biology"	0.0617177
"medical student"	0.0615084
"electrical engineer"	0.0612298
"computer scientist"	0.0610448
curator	0.0606955
"network administrator"	0.0604704
freshman	0.0601925
"political economy"	0.0600731
surgeon	0.0597785
paleontologist	0.0597487
"internal medicine"	0.0596003
economist	0.0595361
pharmacology	0.0594817
astrophysicist	0.0587927
linguistics	0.0585677
bioethicist	0.0581436
"master's degree"	0.0578674
neurobiology	0.0575725
sophomore	0.0569719
"management consultant"	0.0566899
astronomer	0.0565919
"baseball coach"	0.0563675
administrator	0.0562255
obstetrics	0.0560463
physician	0.0560218
ophthalmology	0.0556586
practitioner	0.0554438
biology	0.0554157
teaching	0.0550928
"Holy Grail"	0.0545879
Urology	0.0542773
therapist	0.0541536
geophysicist	0.0536965
"social worker"	0.053613
copywriter	0.05315
pathology	0.0529548
Immunology	0.0526291
"history department"	0.0524522
"football coach"	0.0522323
Cardiology	0.0521957
"aerospace engineer"	0.0520864
dietitian	0.0518021
criminologist	0.0516149
archaeologist	0.0514385
co-writer	0.0513638
"law school"	0.0513244
physiology	0.051305
climatologist	0.0510682
pharmacologist	0.0508759
"director of research"	0.0508554
ethicist	0.0496939
organist	0.0495956
"electrical engineering"	0.0487292
biochemistry	0.0485393
"senior vice president"	0.0481815
"eye doctor"	0.0480377
oceanography	0.0478739
microbiology	0.0478419
genetics	0.0478074
radiologist	0.0476931
veterinarian	0.0476137
zoologist	0.0475631
obstetrician	0.0472954
theoretician	0.0469386
"mechanical engineering"	0.0469102
archeologist	0.0468908
educator	0.0468746
demographer	0.0468583
criminology	0.0466468
academician	0.0464758
"social scientist"	0.0464502
"vice chancellor"	0.0460937
apprentice	0.0457635
"English teacher"	0.0457166
clinician	0.0455217
dermatologist	0.0454749
statistician	0.0452288
dermatology	0.0452086
gynecologist	0.0448711
mathematician	0.0446588
anesthesiologist	0.0446057
urologist	0.0443355
"art director"	0.0443228
eighth-grader	0.0439398
"registered nurse"	0.0438906
"deputy director"	0.0436548
oceanographer	0.0434147
physics	0.0433324
trainee	0.0432017
philosopher	0.0431179
"plastic surgeon"	0.0429224
counselor	0.042852
scriptwriter	0.042822
geologist	0.0426962
chairwoman	0.0426053
"account executive"	0.0422624
"bachelor's degree"	0.042015
infantryman	0.0419966
mathematics	0.0418419
speechwriter	0.0416152
nutrition	0.0415482
psychotherapist	0.0415295
chaplain	0.041489
"school of medicine"	0.0413636
tutor	0.041081
ophthalmologist	0.0409892
"important person"	0.0408866
welder	0.0405498
alumnus	0.0402174
"medical school"	0.0401447
stuntman	0.040115
archivist	0.0401047
))
(associate (desc 55378.1) (sims
aide	0.144202
confidant	0.127405
friend	0.1169
crony	0.113411
supporter	0.111381
colleague	0.110833
adviser	0.109171
ally	0.103625
lawyer	0.103188
assistant	0.0986009
"family member"	0.0980857
Lieutenant	0.0959519
"staff member"	0.09529
employee	0.0916086
staffer	0.0909324
co-worker	0.0908029
acquaintance	0.0901122
executive	0.0895388
member	0.0879254
partner	0.0874683
"cabinet minister"	0.0873744
Attorney	0.0863321
consultant	0.0861149
deputy	0.0860799
relative	0.0854531
operative	0.0854438
backer	0.0847504
expert	0.0847383
confidante	0.0837079
"law partner"	0.0836738
officer	0.0830697
appointee	0.0822305
banker	0.0819745
official	0.0813751
"military officer"	0.0809167
protege	0.079959
bodyguard	0.0791402
classmate	0.0789294
manager	0.0787931
doctor	0.0786846
follower	0.0785814
specialist	0.0780555
activist	0.0774392
agent	0.0773623
advisor	0.0767428
teacher	0.0766854
lobbyist	0.0764798
counselor	0.0763991
researcher	0.0761684
physician	0.0751432
accomplice	0.0751409
informant	0.0748807
scholar	0.0746119
analyst	0.073857
diplomat	0.0735213
staff	0.0733571
fellow	0.0731948
strategist	0.0731191
volunteer	0.0730006
"police officer"	0.0726834
administrator	0.0725396
businessman	0.0720709
brother	0.0720248
prosecutor	0.0719057
family	0.0718986
scientist	0.0718712
"top executive"	0.0715424
supervisor	0.0715167
loyalist	0.0712982
"army officer"	0.071246
wife	0.071188
journalist	0.0711624
subordinate	0.070622
client	0.0703354
broker	0.0700718
brother-in-law	0.0700666
boss	0.0697114
co-defendants	0.0694882
accountant	0.0694166
"investment banker"	0.0692652
politician	0.0692253
nurse	0.0689909
critic	0.0686481
"faculty member"	0.0686256
legislator	0.0685447
professional	0.0678548
"board member"	0.0678069
trustee	0.0676875
engineer	0.0676807
student	0.0675669
insider	0.0675449
buddy	0.0673845
businessmen	0.0672153
collaborator	0.0670197
clerk	0.0670064
lawmaker	0.0669776
defendant	0.0669431
worker	0.0668435
technician	0.0668066
director	0.0667645
comrade	0.0667081
leader	0.0667031
investigator	0.0664823
admirer	0.0664492
professor	0.0663839
companion	0.066058
chief	0.0658539
educator	0.0658349
principal	0.0657958
dissident	0.0657561
"campaign worker"	0.0649523
"church member"	0.0647914
cousin	0.0641612
"legal expert"	0.064119
sympathizer	0.0639971
economist	0.0638921
dealer	0.0635789
mobster	0.0635722
"business executive"	0.0634129
girlfriend	0.0633043
contractor	0.0632516
mentor	0.062951
publicist	0.0629421
spouse	0.0628968
financier	0.0626985
Bos	0.0626905
owner	0.0626445
others	0.0622976
secretary	0.0621923
neighbor	0.0621075
pilot	0.0620484
"FBI agent"	0.0619894
Counsel	0.0619831
cohort	0.0616661
cadre	0.0614864
donor	0.0613488
son	0.0610626
"graduate student"	0.0610436
suspect	0.0609979
commander	0.0608173
witness	0.0607012
auditor	0.0606917
advocate	0.0606619
intern	0.0606052
bureaucrat	0.0605791
"social worker"	0.0605241
opponent	0.0605049
PAL	0.0603936
writer	0.0603084
paralegal	0.0601906
detractor	0.0600693
instructor	0.060038
foe	0.0599168
representative	0.0598406
congressmen	0.059811
soldier	0.0597477
stockbroker	0.0597165
psychologist	0.0593172
terrorist	0.0592406
"Vernon Jordan"	0.0591937
reporter	0.0590665
historian	0.0590332
juror	0.058997
citizen	0.0589944
editor	0.0589887
sociologist	0.0589515
judge	0.0584044
priest	0.058365
"civil servant"	0.0583157
Alumni	0.058254
veteran	0.0582272
guest	0.057922
contributor	0.0579148
therapist	0.0578792
"elected official"	0.057855
"committee member"	0.0578381
"inner circle"	0.0578207
planner	0.0578004
psychiatrist	0.0577992
coworker	0.0576664
informer	0.0575851
"intelligence officer"	0.0575742
observer	0.0575586
person	0.0575021
"federal official"	0.057497
fund-raiser	0.0574076
participant	0.0573984
individual	0.0572866
roommate	0.057087
"drug trafficker"	0.0570522
inmate	0.0568927
"union member"	0.0567582
acolyte	0.056485
husband	0.0563911
enemy	0.0563724
pastor	0.0560669
schoolmate	0.0560185
pollster	0.0559612
pharmacist	0.0559555
graduate	0.0559483
))
("associate professor" (desc 16258) (sims
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professor	0.273498
"visiting professor"	0.211054
"American Journal"	0.146492
lecturer	0.143468
sociologist	0.135055
"political scientist"	0.131522
immunologist	0.127528
"political science"	0.121063
epidemiologist	0.116551
"graduate student"	0.115
psychologist	0.110037
anthropologist	0.108392
dean	0.1077
gynecology	0.105879
psychiatry	0.105674
neurologist	0.102117
researcher	0.101968
faculty	0.10129
"clinical psychologist"	0.100658
historian	0.100555
sociology	0.100144
bioethicist	0.0949308
cardiologist	0.0948349
biochemist	0.0930683
entomologist	0.0919294
Immunology	0.0886758
geneticist	0.0881049
coauthor	0.087316
ethicist	0.0871129
"English professor"	0.0870041
Provost	0.0868875
Pediatrics	0.0866174
nutritionist	0.0857771
scholar	0.0855126
microbiologist	0.0843093
"faculty member"	0.0835252
internist	0.0826955
neurosurgeon	0.0826673
neuroscientist	0.0824294
endocrinologist	0.0803613
biologist	0.0800627
specialist	0.0800312
physiologist	0.0798598
"history department"	0.0798189
oncologist	0.0789568
psychology	0.0785578
psychoanalyst	0.0762386
toxicologist	0.0762266
criminologist	0.0757313
psychiatrist	0.0754475
curator	0.0749821
doctorate	0.0736513
neurology	0.0731103
dietitian	0.07301
"Chinese Society"	0.0712819
urologist	0.0705335
pediatrician	0.0697856
pharmacologist	0.0685039
instructor	0.0684345
"graduate school"	0.0682088
fellow	0.0667988
pharmacology	0.0666408
professorship	0.0661202
anthropology	0.0657411
practitioner	0.0655681
undergraduate	0.0653245
"art historian"	0.0649843
Cardiology	0.0649076
"preventive medicine"	0.0643362
Ph.D	0.0639321
archeologist	0.0627559
archaeologist	0.0626605
ecologist	0.0624062
annals	0.0613815
physiology	0.0606315
"computer scientist"	0.0592896
surgeon	0.0590204
linguist	0.0589687
physicist	0.0587293
dermatologist	0.058604
economics	0.058459
physician	0.0584334
epidemiology	0.0582206
oncology	0.0582136
psychotherapist	0.057829
neurobiology	0.0576494
geographer	0.0562002
"basketball coach"	0.0553979
academician	0.0552758
paleontologist	0.0551243
"electrical engineer"	0.0551227
gynecologist	0.0546589
obstetrician	0.0539597
biochemistry	0.0539213
"social scientist"	0.0537665
administrator	0.0536222
demographer	0.0535522
veterinarian	0.0525775
pathologist	0.05243
astronomer	0.0523214
"master's degree"	0.0522802
biology	0.0522147
educator	0.0518524
"electrical engineering"	0.0515498
consultant	0.0513658
geologist	0.0512992
"computer science"	0.0509739
ophthalmologist	0.0508558
economist	0.0508331
theoretician	0.0503146
postgraduate	0.0502264
librarian	0.0501253
"molecular biology"	0.049807
"social worker"	0.0495466
botanist	0.0494479
therapist	0.0493291
musicologist	0.048966
"internal medicine"	0.0487494
anesthesiologist	0.0487434
radiologist	0.0486269
linguistics	0.0484662
"social science"	0.0482456
co-director	0.0476476
"law student"	0.0475786
statistician	0.0472801
neuroscience	0.0472353
genetics	0.0463054
co-president	0.0462704
freshman	0.0462437
"management consultant"	0.0461048
ethicists	0.0460364
"school of medicine"	0.0451641
"vice chancellor"	0.0451604
"deputy director"	0.0450834
"medical student"	0.0448591
"registered nurse"	0.0447984
ornithologist	0.0447061
teaching	0.0444204
philosopher	0.0440461
counselor	0.0439742
"Holy Grail"	0.0438993
"law school"	0.043877
"medical officer"	0.0437321
co-writer	0.0435369
"physical therapist"	0.043403
"English department"	0.0433554
theologian	0.0430039
clinician	0.0425431
pharmacist	0.042176
"department head"	0.0420245
sophomore	0.0418665
zoology	0.041715
"director of research"	0.0415233
physics	0.0409105
zoologist	0.0407852
astrophysicist	0.0406736
"baseball coach"	0.0403447
intricacy	0.0400274
))
("Associated Press" (desc 37661.8) (sims
"Washington Post"	0.19615
"New York Times"	0.192563
"Los Angeles Times"	0.174918
Reuters	0.170557
"Wall Street Journal"	0.165287
"USA TODAY"	0.164298
AP	0.163732
"Boston Globe"	0.155122
"Dow Jones Newswires"	0.15457
Newsweek	0.150084
"United Press International"	0.146026
"Daily News"	0.145494
Xinhua	0.142514
Times	0.139516
"Cox Newspapers"	0.137725
BBC	0.135539
"Arizona Republic"	0.133953
"Bloomberg News"	0.133592
"Agence France-Presse"	0.13245
Haaretz	0.131778
"Chicago Tribune"	0.130108
"Kansas City Star"	0.128475
"Israel Radio"	0.126749
"Dallas Morning News"	0.126544
newspaper	0.12509
IRNA	0.124343
"Washington Times"	0.123597
CNN	0.120008
"news agency"	0.119848
"ABC News"	0.11894
"New York Post"	0.117449
"Miami Herald"	0.115566
"Atlanta Journal-Constitution"	0.113113
globe	0.112058
"Zimbabwe News Agency"	0.110641
"Associated Press of Pakistan"	0.110075
"Houston Chronicle"	0.109199
"New York Daily News"	0.106602
reporter	0.106393
"Jerusalem Post"	0.106313
"Agence France Presse"	0.106188
"San Antonio Express-News"	0.104508
"Xinhua News Agency"	0.104464
"Boston Herald"	0.104129
"Financial Times"	0.0997721
"CBS News"	0.0994926
magazine	0.0981579
"San Francisco Examiner"	0.0979676
"Straits Times"	0.097784
AFP	0.0977109
"Kuwait News Agency"	0.0973732
"Turkish Daily News"	0.0970909
"British Broadcasting Corp."	0.0969865
Newsday	0.0961741
"news service"	0.0961499
"Kyodo News"	0.0960889
"Le Monde"	0.0958999
Post-Intelligencer	0.0945735
"Denver Post"	0.0940897
"Anatolia News Agency"	0.0927716
"Philadelphia Inquirer"	0.0926771
"wire service"	0.0924124
"Middle East News Agency"	0.0906117
"Iraqi News Agency"	0.0905127
Ansa	0.0904546
"South African Press Association"	0.0902986
"British Broadcasting Corporation"	0.090298
chronicle	0.0898994
"World Report"	0.0885408
Kyodo	0.0879102
"television station"	0.0878066
"Seattle Times"	0.0877252
"Korean Central News Agency"	0.087652
"Detroit News"	0.0876303
"Saudi Press Agency"	0.0864292
press	0.0857604
"Sports Illustrated"	0.0845194
"news media"	0.0839328
"Fort Worth Star-Telegram"	0.0834921
tribune	0.0831815
"Islamic Republic News Agency"	0.0828521
"San Jose Mercury News"	0.082157
Antara	0.0816391
"San Francisco Chronicle"	0.0808747
"Jakarta Post"	0.0808047
"Palm Beach Post"	0.0804676
Star-Telegram	0.08032
PTI	0.08003
Gallup	0.0797876
media	0.0797474
"Voter News Service"	0.0789613
Tanjug	0.0788992
"Des Moines Register"	0.0779366
"News Agency of Nigeria"	0.0776356
"television network"	0.0775691
"NBC News"	0.07743
Star-Ledger	0.0765802
journalist	0.0765295
"Daily Telegraph"	0.0760504
"Business Weekly"	0.075609
"Vietnam News"	0.0752725
"Vietnam News Agency"	0.0750662
MSNBC	0.0746351
"Chicago Sun-Times"	0.0745907
"Australian Associated Press"	0.0745747
"Tehran Times"	0.0745381
"Antara News Agency"	0.0740843
"New Vision"	0.0739259
Bernama	0.0737871
"Dayton Daily News"	0.0735457
"Bangkok Post"	0.0734053
"Atlantic Monthly"	0.0728451
"Austin American-Statesman"	0.0722689
CNBC	0.0716125
radio	0.0713031
"National Public Radio"	0.0712537
"Der Spiegel"	0.0709985
Herald	0.0708393
"Press Trust of India"	0.0708236
"Sporting News"	0.0705853
"Rolling Stone"	0.0704327
Maariv	0.0702608
newsmen	0.0700863
Lusa	0.0698353
Noticias	0.0698286
"radio station"	0.0697161
"Philippine News Agency"	0.0693402
"Cox News Service"	0.0693217
"Rwanda News Agency"	0.0692302
"Ethiopian News Agency"	0.0691
"Detroit Free Press"	0.0688419
"Cable News Network"	0.0688226
"Pew Research Center"	0.0687203
"Hartford Courant"	0.068219
"Le Figaro"	0.0681381
"New York Observer"	0.0680984
"International Herald Tribune"	0.0680648
daily	0.067735
Interfax	0.06753
"TV station"	0.0668576
"Radio Uganda"	0.0666213
"Gulf News"	0.0666032
ABC	0.0658094
Guardian	0.06542
Reforma	0.0649906
Itar-Tass	0.0646916
FBI	0.064414
"Daily Star"	0.0644131
"Seattle Post-Intelligencer"	0.0638272
CBs	0.0635201
"Village Voice"	0.0635197
"Commerce Department"	0.0634437
Kommersant	0.0633228
"South China Morning Post"	0.0630258
Inquirer	0.0628
television	0.0624763
"Jordan Times"	0.0624704
"U.S. News"	0.0620365
investigator	0.0619882
"Athens News Agency"	0.0616538
"U.S. Embassy"	0.0615974
journal	0.0614028
Eurostat	0.0613205
"Business Week"	0.0610669
"General Accounting Office"	0.0610112
weekly	0.0607106
paper	0.0607047
"Fox News"	0.0606146
"New Straits Times"	0.060129
MENA	0.0600294
Bloomberg	0.0598386
"Press Trust"	0.0597866
"Census Bureau"	0.0592931
"East African Standard"	0.0591222
agency	0.0589586
ESPN	0.0587538
"Kofi Annan"	0.058095
"Economic Planning Agency"	0.0577882
TheStreet.com	0.0573641
"Justice Department"	0.0572424
al-Hayat	0.0568628
ESPN.com	0.0566474
"news conference"	0.0565288
Annan	0.0564045
"China Daily"	0.0563144
INA	0.0561086
"Channel @"	0.0556676
"Human Rights Watch"	0.0554055
NBC	0.0549491
Gao	0.0547793
bureau	0.0547006
"Guangming Daily"	0.0544062
"Center for Responsive Politics"	0.0540426
correspondent	0.0537281
"National Research Council"	0.0536109
Petra	0.0534993
"Voice of America"	0.0534407
"press conference"	0.0531952
publication	0.05289
diplomat	0.0525284
))
("Associated Press of Pakistan" (desc 3956.7) (sims
"Agence France Presse"	0.333825
"Anatolia News Agency"	0.300326
"Iraqi News Agency"	0.285586
"Straits Times"	0.277883
"Korean Central News Agency"	0.277159
"Kuwait News Agency"	0.276669
"Kyodo News"	0.276646
IRNA	0.268221
"Ethiopian News Agency"	0.267583
"Dow Jones Newswires"	0.257493
"Israel Radio"	0.255784
"Egyptian Middle East News Agency"	0.253947
"Indonesian Observer"	0.253428
Bernama	0.250904
"Islamic Republic News Agency"	0.248709
"Saudi Press Agency"	0.247478
"Middle East News Agency"	0.245087
"Agence France-Presse"	0.243854
Angop	0.243025
"Australian Associated Press"	0.241014
"Philippine News Agency"	0.240314
"South African Press Association"	0.238504
Antara	0.237194
"Egyptian Gazette"	0.236788
"Jerusalem Post"	0.235224
Lusa	0.235133
"British Broadcasting Corporation"	0.232551
"Tehran Times"	0.229927
"New Vision"	0.227788
"Turkish Daily News"	0.22778
"News Agency of Nigeria"	0.227025
Haaretz	0.226874
"Khaleej Times"	0.22638
"Business Weekly"	0.219826
"Thai News Agency"	0.219144
Ansa	0.213506
"Vietnam News Agency"	0.212593
"Radio Uganda"	0.212227
"Jordan Times"	0.210313
Tanjug	0.209006
"Kyodo News Service"	0.205524
"Daily Star"	0.203845
"Bangkok Post"	0.203797
Sowetan	0.203663
"Le Monde"	0.202937
"Gulf News"	0.201755
"Business Times"	0.19922
"Zimbabwe News Agency"	0.197918
Noticias	0.196314
"Press Trust of India"	0.196287
"Zambia News Agency"	0.193609
"Athens News Agency"	0.193256
Notimex	0.193178
Tass	0.192543
"Jakarta Post"	0.192445
"Kathmandu Post"	0.191981
Petra	0.190974
"Business Day"	0.190781
"Rwanda News Agency"	0.187635
"Kenya Times"	0.187546
Interfax	0.185786
"U.S. Labor Department"	0.185759
"Antara News Agency"	0.184896
"Moscow Times"	0.183447
"Southern African Broadcasting Association"	0.182337
"Press Trust"	0.181115
KPL	0.180186
Kyodo	0.179919
Itar-Tass	0.179433
PTI	0.179099
"Ghana News Agency"	0.179075
MTI	0.178541
"Vietnam News"	0.178361
"South China Morning Post"	0.176335
Kommersant	0.175494
"Daily Times"	0.174241
MENA	0.172583
SAPA	0.171409
"China Daily Business Weekly"	0.168873
"East African Standard"	0.168284
"New Light"	0.161553
"Al Ahram"	0.161398
AFP	0.160661
"Post Express"	0.160071
BS	0.155579
"China Daily"	0.155231
"The New Vision"	0.154299
"Financial Mail"	0.153917
"Zambia Daily Mail"	0.150036
"Ethiopian Herald"	0.148304
"Le Figaro"	0.1482
al-Hayat	0.147765
Reuters	0.147199
"Xinhua News Agency"	0.146839
"The Monitor"	0.14661
WAM	0.145195
"news agency"	0.144593
"Daily Nation"	0.144517
"Alam Al Yom"	0.143318
ATA	0.140215
Malaya	0.139484
"Der Spiegel"	0.13943
"Sydney Morning Herald"	0.138795
"East African"	0.138714
"Cyprus News Agency"	0.138137
"Beijing Daily"	0.137811
"Daily News"	0.137723
"Iran News"	0.135869
"Al Hayat"	0.135821
"Jerusalem Media and Communication Center"	0.134927
TT	0.134895
"El Pais"	0.133096
"Macao Daily News"	0.129234
APP	0.128626
Reforma	0.125231
"New Nigerian"	0.125029
Al-Ahram	0.124606
"Seattle Times"	0.123357
"Daily Telegraph"	0.122882
Hurriyet	0.122352
Jana	0.121438
Anatolia	0.120839
"National Association of Realtors"	0.120595
"Washington Post"	0.119158
"Financial Times"	0.119108
"Wenhui Daily"	0.117865
Eurostat	0.11722
"New Straits Times"	0.116783
INA	0.116481
"USA TODAY"	0.115649
"news service"	0.115104
BBC	0.115086
KUNA	0.114925
"Wall Street Journal"	0.114813
Maariv	0.113447
RSS	0.111156
Guardian	0.110848
"Washington Times"	0.110423
Salam	0.11022
"Associated Press"	0.110075
"United Press International"	0.109092
"Daily Mail"	0.106887
"press agency"	0.106692
JMCC	0.106385
"Los Angeles Times"	0.105066
"China Youth Daily"	0.103145
Times	0.10261
"Beijing Youth Daily"	0.101785
"British Broadcasting Corp."	0.0999878
NHK	0.0994333
"Nihon Keizai Shimbun"	0.0966235
"Nihon Keizai"	0.0963377
NTV	0.0954725
Bild	0.0946123
"Conference Board"	0.0944144
Politika	0.093668
Cui	0.0933103
"New York Times"	0.0931709
"Bloomberg News"	0.0929801
"Asahi Shimbun"	0.0927855
"Information Center of Human Rights"	0.0924723
"Central Bureau of Statistics"	0.0922899
"Guangming Daily"	0.0920551
"New York Daily News"	0.0919056
"State Statistics Bureau"	0.0914257
"Chicago Tribune"	0.0913747
APA	0.0913669
"El Mundo"	0.0905421
L'Equipe	0.0886094
"Detroit News"	0.0881382
"Statistics Canada"	0.0878451
CNA	0.0875748
"Commerce Department"	0.0872672
"Miami Herald"	0.0872451
"U.S. Commerce Department"	0.0869105
"Information Center"	0.0867967
Asahi	0.0816505
"Yomiuri Shimbun"	0.0815964
"International Business Daily"	0.0813744
"TV station"	0.0792385
Granma	0.0780434
"Koha Ditore"	0.0770794
"Labor Department"	0.0770487
Ruehe	0.0766204
"Census Bureau"	0.0755657
Dominion	0.0752773
"Australian Bureau of Statistics"	0.0745941
"Boston Herald"	0.0744951
"Cable News Network"	0.0738699
beta	0.0736609
ABS-CBN	0.0734035
Xinhua	0.0729572
Malu	0.0725001
"Channel @"	0.0720357
"Houston Chronicle"	0.0717384
"San Francisco Chronicle"	0.0703125
"Detroit Free Press"	0.0699994
"New York Post"	0.0690822
"Dallas Morning News"	0.0686989
"National Research Council"	0.0680497
))
(Associates (desc 1434.56) (sims
Biogen	0.102046
"Adobe Systems"	0.101468
"Delphi Automotive Systems"	0.093516
"HBO &AMP; Co."	0.0932192
Terra	0.0924087
UAL	0.0898468
"Freddie Mac"	0.0893637
Co.	0.0871186
"Learning Co."	0.0812411
Amgen	0.0812376
McKesson	0.0798796
Alcoa	0.0786447
Loewen	0.0766452
"Brown &AMP; Williamson Tobacco Corp."	0.0760963
WELLPOINT	0.0752194
Emulex	0.0749757
"UAL Corp."	0.074415
AMR	0.0741619
Agilent	0.0738347
TELLABS	0.0734988
Stratus	0.07335
Alcatel	0.0730562
"Cisco Systems"	0.0730004
"Softbank Corp."	0.0729655
Esso	0.0725506
"Sprint PCS"	0.0724516
PLDT	0.0723145
RAMBUS	0.0721098
Unisys	0.0720564
Xoom.com	0.0719651
"Hutchison Whampoa"	0.0712758
"Philippine Stock Exchange Index"	0.0705043
"First USA"	0.0703298
"International Paper"	0.069715
GPU	0.0689628
Dupont	0.0688539
"Advanced Micro"	0.0685822
Autodesk	0.0683001
Medtronic	0.0682051
"Hongkong Telecom"	0.0679356
"Dayton Hudson"	0.0677787
Conoco	0.067621
PEOPLESOFT	0.0670481
Telemundo	0.06684
Informix	0.0660234
SunTrust	0.0659146
Sepracor	0.0657481
Fedex	0.06562
"Texas Instruments"	0.0654752
Inc.	0.0652638
"Hughes Electronics"	0.0650818
ALZA	0.0649388
"Cisco Systems Inc."	0.0647246
TYCO	0.0647136
Corp.	0.0644303
HBOC	0.0643549
Priceline.com	0.0641529
bombardier	0.0640506
"Berkshire Hathaway"	0.0637024
COS.	0.0635599
SkyTel	0.0633439
"Computer Associates"	0.0630158
"Canal Plus"	0.0629983
GEC	0.0629579
ING	0.0620882
"American Express"	0.0620675
Novell	0.0620614
ani	0.0619519
NORTHROP	0.0618663
Healtheon/WebMD	0.0609464
"Raytheon Co."	0.0608974
Conseco	0.0606014
BankAmerica	0.0605542
CMG	0.0603208
Railtrack	0.0602829
"J&AMP;J"	0.0599554
"Y&AMP;R"	0.0598841
Daiwa	0.0598775
SNCF	0.0598501
ABS-CBN	0.0598135
Allianz	0.059624
Marconi	0.0595038
"AMR Corp."	0.0594119
"Exxon Mobil"	0.0593594
Ciena	0.0593134
Televisa	0.0589082
"Times Co."	0.0588611
ZIFF-DAVIS	0.0588575
"Fannie Mae"	0.0588436
EMC	0.0586225
"Thermo Electron"	0.0585264
N.Z	0.0585151
"Chase Manhattan"	0.0583495
Asarco	0.0580293
"Commonwealth Bank"	0.0580289
SmithKline	0.0578599
Qualcomm	0.057785
Cigna	0.0576137
Newell	0.0574737
Georgia-Pacific	0.057394
"General Electric"	0.057358
AIG	0.0571686
plc	0.0571492
Sumitomo	0.0569568
"Georgia Power"	0.0568075
Halliburton	0.0567246
Clorox	0.0566587
"EMC Corp."	0.0565654
XYLAN	0.0565009
Raytheon	0.0560821
Glaxo	0.0560655
Ltd.	0.0558905
Tenneco	0.0556815
YPF	0.0555514
Micron	0.0554578
"Kraft Foods"	0.0550591
Bridgestone	0.0548645
"U.S. Trust"	0.0548465
"Bank of Scotland"	0.0547325
Searle	0.0544521
Wachovia	0.0544281
"Allied Signal"	0.0543778
Vitesse	0.0543753
"Dresdner Bank"	0.0542032
Starwood	0.0540958
"Learning Company"	0.0539519
ETrade	0.0538532
Niagara	0.0538336
Equifax	0.0536306
Merck	0.0536291
Delphi	0.0536087
"United Technologies"	0.0535455
"Ford Motor"	0.0534585
Blume	0.0533651
Healtheon	0.0532307
NatWest	0.0531704
Mattel	0.053005
Mobil	0.0528851
"JDS Uniphase"	0.0528426
Advani	0.0527581
Nikko	0.0526189
Xerox	0.0525657
Honeywell	0.0523986
FPL	0.0522719
"British Foreign Office"	0.0522702
Litton	0.0522258
AHP	0.0522105
Walmart	0.0519543
"Southwest Airlines"	0.0518513
CSC	0.0518219
"Information Center"	0.0518003
dot.com	0.0516853
Gillette	0.051633
AlliedSignal	0.0515723
"Waste Management"	0.0515164
Cendant	0.0514966
Polaroid	0.0514913
Dataquest	0.0514091
Sells	0.0514035
SCI	0.0513634
Herndon	0.0513342
"KCP&AMP;L"	0.0512557
Immunex	0.0510753
Sunbeam	0.0510438
"consumer credit"	0.0507836
WorldCom	0.0507057
"U.S. Treasury Department"	0.0506168
"HSBC Holdings"	0.050355
HSBC	0.0503374
IDT	0.0503359
EarthLink	0.050319
Colgate-Palmolive	0.0503019
"Tokyo Stock Price Index"	0.0502945
Pairgain	0.050286
AMF	0.0501894
"GE Capital"	0.0501392
Aetna	0.0500551
RJR	0.0499917
Petrofina	0.0499172
Akamai	0.0498178
Gibbons	0.0496904
Schlumberger	0.0496455
VICKERS	0.0496307
"Southern Co."	0.0495445
"Hearst Corporation"	0.049544
Gilead	0.0495043
"Johnson &AMP; Johnson"	0.0494011
MiniMed	0.0493158
Zapata	0.0491504
"security consultant"	0.0491233
VENATOR	0.0490548
"Coca-Cola Enterprises"	0.0489927
Broadcom	0.0489881
ENTREMED	0.0489458
Infoseek	0.0489255
Warner-Lambert	0.0488157
Kellogg	0.0486755
"First Union"	0.0486129
Italia	0.0486049
SSB	0.0484201
))
(association (desc 115582) (sims
organization	0.175742
federation	0.171287
union	0.157425
group	0.149882
Council	0.14954
institute	0.145502
"chamber of commerce"	0.144296
committee	0.137842
agency	0.134877
commission	0.131439
ministry	0.129418
department	0.129384
foundation	0.121103
"trade union"	0.118518
"trade association"	0.113179
bureau	0.112995
corporation	0.111687
company	0.109171
consortium	0.107436
AFL-CIO	0.106661
university	0.105847
institution	0.105631
"World Bank"	0.104931
organisation	0.104771
Confederation	0.103717
government	0.103565
NAACP	0.103346
academy	0.1026
"National Association"	0.10213
firm	0.10209
society	0.101715
Alliance	0.10144
Coalition	0.101359
"political party"	0.100314
authority	0.0998669
FIFA	0.099634
"U.S. Chamber of Commerce"	0.0995849
"World Health Organization"	0.0978717
board	0.0973816
"local government"	0.0972414
"central bank"	0.0972145
cooperative	0.0957471
bank	0.094658
office	0.0943122
"task force"	0.0942687
"international organization"	0.094054
"nonprofit organization"	0.0935898
AARP	0.0926249
"European Commission"	0.092235
party	0.0921138
"labor union"	0.0914091
partnership	0.0901551
UNICEF	0.0885064
USOC	0.0884103
"United Nations"	0.0883504
club	0.0880513
"think tank"	0.087389
IOC	0.087091
guild	0.0863919
community	0.0861468
conference	0.0852848
administration	0.0846936
Assembly	0.0845548
center	0.0843091
"Sierra Club"	0.0842956
"Justice Department"	0.084057
delegation	0.0836004
official	0.0832294
league	0.0829693
body	0.0827808
business	0.0825803
industry	0.0821582
"Amnesty International"	0.0820816
enterprise	0.0820171
panel	0.0819285
forum	0.0818256
"business community"	0.0817999
branch	0.0817196
"research center"	0.0815465
"Finance Ministry"	0.0815085
employer	0.0813862
state	0.0812334
Secretariat	0.0812142
ADB	0.0810545
OAU	0.0808855
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airline	0.0806155
church	0.0805108
charity	0.0805066
UEFA	0.080485
"financial institution"	0.0804501
"Red Cross"	0.0803549
representative	0.0803352
U.N.	0.0802814
IMF	0.079852
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"Health Ministry"	0.0793151
NRA	0.0792859
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network	0.0789355
OSCE	0.0788028
"Health Department"	0.0784115
"federal government"	0.078314
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"Christian Coalition"	0.0782528
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entity	0.0774601
parliament	0.077429
FTC	0.0773877
chapter	0.0772344
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"police department"	0.0767906
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"working group"	0.0766419
grouping	0.0765816
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"interest group"	0.0764081
regulator	0.0761905
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school	0.0759772
SEC	0.0759377
chamber	0.0759337
movement	0.0756528
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denomination	0.0753891
program	0.0751795
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manufacturer	0.0750495
"European Union"	0.0750369
executive	0.0749507
ACLU	0.0749054
"National Rifle Association"	0.0747709
EPA	0.0747648
"business leader"	0.0747564
businessmen	0.0745131
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IAAF	0.0744074
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ama	0.0739119
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division	0.0734598
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hospital	0.0732509
FDA	0.0732482
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UNHCR	0.0730453
OECD	0.07304
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UNESCO	0.0728723
NGOs	0.0728042
Congress	0.0726434
leader	0.072556
team	0.0725385
country	0.0724592
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member	0.0722546
FA	0.0722398
museum	0.0721516
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CDC	0.0714725
meeting	0.0712334
bureaus	0.0711631
activity	0.0709653
foundations	0.0708933
operator	0.0708376
NCAA	0.0708249
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unit	0.0707302
sector	0.0707183
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service	0.0705894
faction	0.0704869
insurer	0.0703045
tribe	0.0702779
FAO	0.070222
legislature	0.0701859
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College	0.0698017
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"political action committee"	0.0696578
army	0.0694354
"American Cancer Society"	0.0692799
EU	0.0692322
expert	0.0692188
cooperation	0.0691871
individual	0.0690245
"board of education"	0.0687357
nation	0.0686101
))
("Association for Friendship" (desc 2190.93) (sims
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"All-China Youth Federation"	0.253666
"China Society"	0.230829
"China Council"	0.21841
"Hong Kong Federation"	0.206978
"Beijing Municipal Government"	0.19716
CPAFFC	0.180085
"All-China Federation"	0.163856
"Chinese Olympic Committee"	0.152975
"Association for Relations Across"	0.151444
"China Federation"	0.147484
"China Association for Science"	0.142879
"Shanghai Municipal Government"	0.140796
ACWF	0.139008
ACFTU	0.132471
"Ministry of Internal Trade"	0.129136
"National Committee"	0.12814
"Information Office"	0.12486
"International Department"	0.124346
"Asia Society"	0.121563
"Ministry of Culture"	0.120915
"Chinese Foreign Ministry"	0.119688
"Ministry of Supervision"	0.11707
"Party School"	0.114714
"Hong Kong Trade Development Council"	0.113793
"Foreign Affairs Committee"	0.113303
"Development Research Center"	0.112879
"Ministry of Science"	0.112749
"Ministry of Foreign Trade"	0.112194
CCPIT	0.111749
"Xinhua News Agency Hong Kong Branch"	0.110275
"King Bhumibol Adulyadej"	0.1083
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"Tang Jiaxuan"	0.102287
"Publicity Department"	0.0992024
"Chinese Academy of Social Sciences"	0.098504
"State Administration of Internal Trade"	0.0953364
MOFTEC	0.0943047
"Olympic Council of Asia"	0.0942013
"Inter-Parliamentary Union"	0.0932399
"United Front Work Department"	0.0928333
CITIC	0.0927919
"Chinese Society"	0.0922858
"Ministry of Foreign Trade and Economic Cooperation"	0.0920633
"Chinese government"	0.0911375
"Chinese Academy of Sciences"	0.0907895
SPC	0.0888971
ARATS	0.0886404
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"Shi Guangsheng"	0.0864751
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"municipal government"	0.0856986
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"Ministry of Posts"	0.0845099
"State Administration of Cultural Heritage"	0.0842698
"China Youth Development Foundation"	0.0840046
"Cambodian People's Party"	0.0830217
"China National Tourism Administration"	0.0829723
"State Education Commission"	0.0818625
"China National Petroleum Corporation"	0.0818172
"University of China"	0.0791444
"Ministry of Information Industry"	0.0784354
"Fu Quanyou"	0.0783916
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"Central Committee"	0.0776559
"American Association"	0.0771169
"World Intellectual Property Organization"	0.0770058
"Academy of Motion Picture Arts"	0.076432
"Armed Police"	0.0755499
"Defense Fund"	0.0738869
"Red Cross Society"	0.0735529
"State Economic and Trade Commission"	0.0731785
"World Economic Forum"	0.0730506
"Central Commission for Discipline Inspection"	0.073038
"Civil Aviation Administration of China"	0.0728138
"CPPCC National Committee"	0.0724535
WEF	0.0721941
"Economic Commission for Africa"	0.0720529
"State Planning Commission"	0.0720497
CNOOC	0.0716777
Shi	0.0715732
"Ministry of Public Security"	0.0713139
"Economic and Social Council"	0.071298
FIVB	0.0712229
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"Asian Development Bank"	0.0700421
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"Freedom Forum"	0.0685238
"Wu Yi"	0.0677812
"Chi Haotian"	0.0676564
"Qinghua University"	0.0672698
Confederation	0.0672504
CAS	0.0668142
"Bank of China"	0.066756
"Medical Society"	0.066495
"South African Communist Party"	0.0662327
CFA	0.0661785
"Xinhua News Agency"	0.0657014
"Kenya African National Union"	0.0654389
"CBS Sports"	0.0653082
"U.S. Chamber of Commerce"	0.065235
"Qian Qichen"	0.0651638
"Ministry of Planning"	0.0645045
"National Abortion and Reproductive Rights Action League"	0.0644357
"World Jewish Congress"	0.0643725
"Chinese Academy of Engineering"	0.064332
"Queen Elizabeth II"	0.064279
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"Li Peng"	0.064203
"Center for Strategic"	0.0641938
"National Council of Churches"	0.0641242
"Council of Europe"	0.0638525
ENTREMED	0.0636448
"International Federation"	0.0635536
Fu	0.0633388
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"Philadelphia Orchestra"	0.0629856
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"Ministry of Health"	0.0628252
"State Bureau of Environmental Protection"	0.0627732
"Pakistan Muslim League"	0.0624942
"International Society"	0.0621311
HKTA	0.0620971
Meguid	0.0615685
"National Federation"	0.0610908
"State Environmental Protection Administration"	0.0609368
"Goh Chok Tong"	0.0608977
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Vice-Premier	0.0607497
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CCF	0.0606822
"State Forestry Administration"	0.0606615
"Taiwan Affairs Office"	0.060515
"Council on Foreign Relations"	0.0604377
"United Nations Environment Program"	0.0601515
"Propaganda Department"	0.0598693
"Chinese Embassy"	0.0597863
"Shanghai Branch"	0.0597719
"Zhu Rongji"	0.0592818
"National Tourism Administration"	0.0591656
"Ministry of Agriculture"	0.0591612
"World Tourism Organization"	0.0586411
"United Malays National Organization"	0.0585779
"Suleyman Demirel"	0.0579152
"Public Security Ministry"	0.0578474
"Nihon Keizai Shimbun"	0.0571458
"Southeastern Legal Foundation"	0.057119
"Bosnian Serb Republic"	0.0570428
"King Norodom Sihanouk"	0.0567473
BOI	0.0567112
"International Badminton Federation"	0.0566926
"National Audubon Society"	0.0564817
ECA	0.0563794
"Serbian Republic"	0.0562305
"Political Consultative Conference"	0.0554186
"Legend Group"	0.0553014
"International Brotherhood"	0.0552017
"Jiang Zemin"	0.0552013
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"Australian Olympic Committee"	0.054473
"Ministry of Interior"	0.0539888
"Des Moines Register"	0.0538627
"Ministry of Personnel"	0.0538527
"Thai Foreign Ministry"	0.0538284
"Benevolent Association"	0.0536824
"Congress (NPC) Standing Committee"	0.0535495
TDC	0.0532082
"Democratic Leadership Council"	0.0531133
"Commission on Presidential Debates"	0.0530236
"United Nations Conference on Trade and Development"	0.0529069
"Inter-American Development Bank"	0.0528234
"American Petroleum Institute"	0.0522411
IGAD	0.0516704
"Chinese People's Political Consultative Conference"	0.0516598
"First Session"	0.0515374
"Pakalitha Mosisili"	0.0514333
"National Council of La Raza"	0.0514037
"International Amateur Athletics Federation"	0.0513136
"United Nations Industrial Development Organization"	0.051072
Histadrut	0.0509324
CASS	0.0506806
"China Central Television"	0.0506653
"Ministry of Labor"	0.0505436
"Board of Investment"	0.0505106
"Asian Football Confederation"	0.0503213
"Prime Minister Banharn Silpa-Archa"	0.0501509
"National Geographic Society"	0.0500526
"Ministry of Defense"	0.0499624
CNPC	0.0499183
"Revolutionary Party"	0.04979
"Central Military Commission"	0.049715
"Provisional Urban Council"	0.049714
Komura	0.0495458
"Supreme People"	0.049278
"Israeli Knesset"	0.0488765
"General Administration of Customs"	0.0485513
Chi	0.0481922
"Mark Foley"	0.048117
"governor general"	0.0480737
))
("Association for Relations Across" (desc 1551.64) (sims
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ARATS	0.218225
"China Society"	0.181098
"Olympic Council of Asia"	0.172192
"Straits Exchange Foundation"	0.160443
"Association for Friendship"	0.151444
"All-China Journalists Association"	0.144076
"Legend Group"	0.141488
"China Association for Science"	0.137456
"Liberation Movement"	0.132331
"Securities Industry Association"	0.127781
"China Council"	0.127614
"All-China Youth Federation"	0.123905
CPAFFC	0.123855
"China Youth Development Foundation"	0.121533
"World Jewish Congress"	0.120636
"National Abortion and Reproductive Rights Action League"	0.11688
"Inter-Parliamentary Union"	0.112621
"Badminton Association of Indonesia"	0.11205
CITIC	0.111797
"Olympic Committee"	0.109878
"Red Cross Society"	0.109055
"United Malays National Organization"	0.104971
"Xinhua News Agency Hong Kong Branch"	0.103666
"All-China Federation"	0.100721
"American Association of Health Plans"	0.0994539
"Chinese Society"	0.0970024
"Supreme People"	0.0968454
"Asian Football Confederation"	0.0957359
"Hong Kong Federation"	0.0955853
"Shanghai Municipal Government"	0.0955528
"State Law and Order Restoration Council"	0.0952822
"Central Military Commission"	0.0946208
"American Petroleum Institute"	0.0943084
"China Securities Regulatory Commission"	0.0941801
ACWF	0.0937452
"Ford Motor Company"	0.0928602
"Australian Olympic Committee"	0.0923177
"Cambodian People's Party"	0.0922888
"U.S. Soccer Federation"	0.0921474
"National Committee"	0.0916446
"China Federation"	0.0905334
"Qinghua University"	0.0902399
"Organizing Committee"	0.0900451
"South Pacific Forum"	0.0883886
"Congress (NPC) Standing Committee"	0.0881744
"Cato Institute"	0.0876921
"U.S. Chamber of Commerce"	0.0869496
"Foreign Affairs Committee"	0.086941
"World Meteorological Organization"	0.0863043
"Council of State"	0.0859547
ACFTU	0.0859436
Yukos	0.0858129
"World Tourism Organization"	0.0856858
"Party School"	0.0848169
Laban	0.0829968
CCF	0.0826705
"New York Times Co."	0.0825577
"Benevolent Association"	0.0809737
"Xinhua News Agency"	0.0809118
"China National Tourism Administration"	0.079723
"Executive Committee"	0.0795236
"International Society"	0.0788605
SPC	0.078732
"Democratic Leadership Council"	0.0781111
"French Foreign Ministry"	0.0775137
CFA	0.077418
"Beijing Municipal Government"	0.0773219
"EU Commission"	0.0773201
"National Tourism Administration"	0.0770234
Eximbank	0.0765279
"National Association of Manufacturers"	0.0759056
"NPC Standing Committee"	0.0757954
"Organisation of African Unity"	0.0751747
"International Amateur Athletics Federation"	0.0748793
"Rod Thorn"	0.074827
"Funcinpec Party"	0.0745716
"International Rescue Committee"	0.073945
"Ninth CPPCC National Committee"	0.0738902
"Kenya African National Union"	0.0736961
"Rwandan Patriotic Front"	0.0735691
"National Council of La Raza"	0.0734878
"CPPCC National Committee"	0.0732945
"Medical Society"	0.0730434
"National Audubon Society"	0.0728205
"Ninth National Committee"	0.0727
"American Heart Association"	0.0724045
"International Badminton Federation"	0.0721212
"National Organization"	0.0719466
"State Administration of Cultural Heritage"	0.07185
"State Planning Commission"	0.0715837
"CBS Sports"	0.0715356
"Service Employees International Union"	0.0709451
"Allied Pilots Association"	0.0709141
BOI	0.0707568
"NBC News"	0.0705275
"Organization for Economic Cooperation and Development"	0.0701303
"Russian Communist Party"	0.0699931
"Federal Reserve Bank of New York"	0.0699646
"National Awakening Party"	0.0697172
CAS	0.0695697
"Dow Jones &AMP; Co."	0.0695168
"United Nations Conference on Trade and Development"	0.0692279
"International Association of Machinists"	0.0690942
"National Council"	0.0684438
"Economic and Social Council"	0.0682926
"Association of Flight Attendants"	0.0682185
"Ministry of Posts"	0.0675314
"Chinese Academy of Engineering"	0.0673581
Lakas-NUCD	0.067349
"Chinese People"	0.0670613
"Common Cause"	0.0670434
"House Budget Committee"	0.0670082
"Democratic Alliance"	0.0667328
"Board of Investment"	0.0667274
"National Council of Churches"	0.066253
"Supreme Soviet"	0.0661257
CMC	0.0659976
"Cuban American National Foundation"	0.0655366
"Ministry of Justice"	0.0654335
"Electronic Frontier Foundation"	0.0650581
"American Association"	0.0649509
"Chinese Academy of Sciences"	0.064908
"Air Line Pilots Association"	0.0649053
"United Nations Industrial Development Organization"	0.0648647
"Turner Sports"	0.0646938
"Defense Fund"	0.0645935
"military commission"	0.0645632
"National Alliance"	0.0645289
"Visa International"	0.0644561
"International Brotherhood"	0.0643736
"Wine Institute"	0.0643487
OCA	0.0641855
"Kraft Foods"	0.0641182
"National Federation"	0.0640459
"State Peace and Development Council"	0.0635063
"International Skating Union"	0.0633497
"League of Conservation Voters"	0.0632571
"Families USA"	0.06316
"U.S. Olympic Committee"	0.0629529
"Motherland Party"	0.0629107
"executive agency"	0.0628842
"Communications Workers of America"	0.0628216
"World Intellectual Property Organization"	0.0626803
"Organization of Islamic Conference"	0.0626121
Unicom	0.0624965
SCLC	0.0620816
"Time Inc."	0.0620589
CNNfn	0.0619169
"Chinese Academy of Social Sciences"	0.0613109
"Services division"	0.0612572
IMG	0.0610263
"Cendant Corp."	0.0609797
"Central Committee"	0.0608478
"National Defense Commission"	0.0606813
"Shanghai Branch"	0.0606725
CASS	0.0606623
"computer giant"	0.0605081
"Consultative Assembly"	0.0605053
"Mitsubishi Motors"	0.0602911
CNOOC	0.0602167
"Justice Party"	0.0595471
"Transparency International"	0.0594916
"Department of Environment"	0.0593724
"Federal Assembly"	0.0590753
"National People"	0.0589854
CWA	0.0588888
"New Korea Party"	0.0588598
"Ministry of Foreign Trade and Economic Cooperation"	0.0584632
"ABC Sports"	0.0582135
"National Trust"	0.0581279
"Greek Cypriots"	0.0577312
"Provisional Urban Council"	0.0573661
"State Administration of Foreign Exchange"	0.05729
"Kaiser Family Foundation"	0.0570858
"Southeastern Legal Foundation"	0.0568853
"Korean Air"	0.0568751
"Revolutionary Command Council"	0.0568436
"Urban League"	0.0567476
"Ministry of Science"	0.0565657
"Christian Social Union"	0.0565583
"Motion Picture Association of America"	0.0561
MSF	0.0560952
"National People's Congress"	0.0560615
"Ministry of Forestry"	0.0560409
"Thai Farmers Bank"	0.0559664
"Chase Manhattan Corp."	0.0559649
"Nankai University"	0.0558005
"International Amateur Athletic Federation"	0.0557232
"EMC Corp."	0.0554859
"Pakistan Muslim League"	0.0553963
"Texas Department of Public Safety"	0.0552716
"Pacific Exchange"	0.0550463
"State Development Bank"	0.0550405
"Guangming Daily"	0.05496
"National Commission"	0.0547896
CNPC	0.0547793
"Freedom Forum"	0.0547687
NRM	0.0547207
"Asia Society"	0.0547099
))
("Association of Flight Attendants" (desc 1245.27) (sims
"Air Line Pilots Association"	0.290857
"Allied Pilots Association"	0.272668
"National Education Association"	0.188782
"Air Transport Association"	0.175573
"American Association of Health Plans"	0.16396
"Securities Industry Association"	0.161666
"Handgun Control Inc."	0.160799
"International Association of Machinists"	0.158501
"machinists union"	0.150494
AFA	0.145393
"National Council of La Raza"	0.144072
"American Federation"	0.142312
"Chinese Olympic Committee"	0.141658
"United Steelworkers"	0.140003
"Benevolent Association"	0.139375
"Common Cause"	0.138656
"Communications Workers of America"	0.137344
"Recording Industry Association of America"	0.137126
"American Lung Association"	0.135149
"U.S. Soccer Federation"	0.134325
"National Association of Manufacturers"	0.132045
"Handgun Control"	0.131373
"Main Events"	0.125641
"Wine Institute"	0.125314
"Board of Elections"	0.12426
"French Foreign Ministry"	0.12382
SCLC	0.123701
"National Association"	0.123662
"CBS Sports"	0.12302
"National Federation"	0.120076
"Service Employees International Union"	0.119785
"Log Cabin Republicans"	0.118746
"American Bankers Association"	0.118557
"American Red Cross"	0.118447
"National Organization"	0.118023
"National Audubon Society"	0.117452
"National Republican Congressional Committee"	0.116425
"United Auto Workers"	0.115546
"National Association of Broadcasters"	0.114438
CPAFFC	0.112636
"U.S. Chamber of Commerce"	0.11121
"District Council"	0.111069
"U.S. Immigration and Naturalization Service"	0.110987
AFL-CIO	0.110711
"National Abortion and Reproductive Rights Action League"	0.110234
"IG Metall"	0.108608
"Bill Lockyer"	0.108474
"Sierra Club"	0.107672
ICBC	0.105717
UAW	0.104919
Teamsters	0.103995
AmCham	0.103298
"Motion Picture Association of America"	0.102641
teamster	0.101023
"Family Research Council"	0.100585
"World Jewish Congress"	0.0993435
"American Civil Liberties Union"	0.0987907
"International Brotherhood"	0.0982949
"National Trust"	0.0979492
"Local @@"	0.0970804
"Screen Actors Guild"	0.0970185
NARAL	0.0966872
"Cuban American National Foundation"	0.0962016
"New York Times Co."	0.0956039
"Australian Olympic Committee"	0.0948531
"Department of Environmental Protection"	0.0944756
"Chinese Foreign Ministry"	0.0942487
"National Council of Churches"	0.0941691
Oxfam	0.0941026
OCA	0.0939647
"Columbia Pictures"	0.0938885
CWA	0.0937581
"International Committee"	0.0932618
"Department of Foreign Affairs"	0.0924461
"Urban League"	0.0919168
"Justice Ministry"	0.0913387
"Olympic Council of Asia"	0.0910919
"Time Warner Cable"	0.0902928
"American Association of Retired Persons"	0.0900908
"Southeastern Legal Foundation"	0.0899742
"Local @@@@"	0.0879204
ACLU	0.0878855
"Sydney Organizing Committee"	0.0877134
"Labor office"	0.0873741
Eximbank	0.0873371
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NAACP	0.0862465
"Salt Lake Organizing Committee"	0.0860974
"National Alliance"	0.0859722
FIA	0.0857982
"Health and Human Services Department"	0.0855039
"Department of Corrections"	0.0852305
guild	0.0852054
"Continental Airlines"	0.0851639
"Sam Rainsy Party"	0.0849817
CMA	0.084919
CFA	0.0848686
"Airport Authority"	0.0840319
"House Majority Whip Tom DeLay"	0.0840225
"Democratic Congressional Campaign Committee"	0.0839588
PBSI	0.0833741
"U.S. Olympic Committee"	0.0833261
PTA	0.0827754
"American Heart Association"	0.0821304
"League of Women Voters"	0.0819949
"Department of Public Safety"	0.0817326
AOC	0.0814615
"International Tennis Federation"	0.0811894
"Business Council"	0.0810988
"Local @@@"	0.080979
"American Petroleum Institute"	0.0808703
"ABC Sports"	0.0806099
CCPIT	0.0803242
"Texas Department of Public Safety"	0.0802673
"Electronic Privacy Information Center"	0.0794744
"EU Commission"	0.0793939
UCI	0.0789372
"Port Authority of New York"	0.0783478
Confederation	0.0781521
DLC	0.0780292
"British High Commission"	0.0779251
"Salvation Army"	0.0777193
"AMR Corp."	0.0775225
"Department of Environmental Conservation"	0.0774173
"Medical Society"	0.0773544
"planning board"	0.0773228
CAA	0.0772071
CCB	0.0768521
"National Election Committee"	0.0768474
"International Brotherhood of Electrical Workers"	0.0768171
"Israeli Foreign Ministry"	0.0767873
"Amnesty International"	0.0767034
"Russian Defense Ministry"	0.0766997
"Board of Supervisors"	0.076642
"Rotary International"	0.0764679
ama	0.0763891
"U.N. World Food Program"	0.0759066
TrustE	0.0757804
"Democratic Senatorial Campaign Committee"	0.0756274
"U.S. Golf Association"	0.0755843
Greenpeace	0.0754446
"Board of Trade"	0.0754153
"Mormon Church"	0.0752588
"American Legion"	0.0751238
ZCTU	0.0751076
Missourian	0.0749596
"Federal Emergency Management Agency"	0.0748324
"Families USA"	0.0747559
"European Council"	0.0747415
"Chevron Corp."	0.0747187
"Hong Kong Federation"	0.0747053
"American Cancer Society"	0.0746494
"U.N. High Commissioner for Refugees"	0.074549
"International Amateur Athletic Federation"	0.074476
SDB	0.0742505
dockworkers	0.0742482
BSA	0.0741882
CNOOC	0.0739845
"Delta Air Lines"	0.0739446
NCEC	0.0738095
"International Ski Federation"	0.0738067
"New York Civil Liberties Union"	0.0737213
"R.J Reynolds Tobacco Co."	0.0737126
Kyprianou	0.0736069
"Department of Public Health"	0.0733747
Aeromexico	0.072882
UFW	0.0726499
"Northwest Airlines"	0.0724378
ARATS	0.0723835
"Mastercard International"	0.0721359
"National Gambling Impact Study Commission"	0.0719412
Laban	0.0717187
USATF	0.0716904
Hynes	0.07155
"NBC News"	0.071436
"Humane Society"	0.0714306
"Planned Parenthood"	0.0712995
"American Jewish Committee"	0.071099
Bundestag	0.0708198
"Russian Space Agency"	0.0707615
"Rainbow/PUSH Coalition"	0.0707536
"Trans World Airlines"	0.0707397
"Russian Foreign Ministry"	0.0706948
"League of Conservation Voters"	0.0706255
"Con Edison"	0.0706137
"Anti-Defamation League"	0.0706021
"National Marine Fisheries Service"	0.0705557
"Southern Co."	0.0704841
"Metropolitan Transportation Authority"	0.0704666
CNPC	0.0703003
"Audubon Society"	0.0701645
"Education Department"	0.0697851
"Royal Ulster Constabulary"	0.0695179
"senior class"	0.069398
"Asian Football Confederation"	0.0693926
"National Association of Realtors"	0.0691438
AARP	0.0689671
"Janata Dal"	0.0687571
VFW	0.0685346
"Dennis Vacco"	0.0684933
))
("Association of Southeast Asian Nations" (desc 17778.2) (sims
ASEAN	0.282309
"Asia-Pacific Economic Cooperation"	0.193858
"South Asian Association for Regional Cooperation"	0.192721
"Asia Pacific Economic Cooperation"	0.182352
"Rio Group"	0.181334
"Gulf Cooperation Council"	0.174731
"Southern African Development Community"	0.17318
"Common Market for Eastern and Southern Africa"	0.161834
"ASEAN Regional Forum"	0.16017
grouping	0.160027
SAARC	0.159618
"Organization for Economic Cooperation and Development"	0.158727
APEC	0.155611
"Commonwealth of Independent States"	0.155503
"Group of @@"	0.155186
"Non-Aligned Movement"	0.152893
"Group of Seven"	0.149682
"European Union"	0.146609
"Group of Eight"	0.143857
"Group of Rio"	0.143669
"Organization of Petroleum Exporting Countries"	0.141541
"Arab League"	0.140798
"North Atlantic Treaty Organization"	0.138065
G-@	0.137926
"Economic Community of West African States"	0.136566
"Council of Europe"	0.136285
"Caribbean Community"	0.135527
G-@@	0.134871
EU	0.131977
"South Pacific Forum"	0.130622
"Asia-Europe Meeting"	0.129414
"Economic Cooperation Organization"	0.128189
"Asian nation"	0.127977
"member country"	0.12696
Mercosur	0.126189
"Organization of Islamic Conference"	0.125568
SADC	0.124821
OECD	0.123116
"Organization of African Unity"	0.122276
"Republic of Korea"	0.122116
GCC	0.121932
COMESA	0.12037
"Organization of American States"	0.120214
"Economic Community"	0.118691
"World Trade Organization"	0.117665
"Asian country"	0.117476
ARF	0.115856
"Contact Group"	0.115854
"Southern Common Market"	0.114207
OAU	0.113451
ASEM	0.113371
"Andean Community"	0.113115
OIC	0.11089
"Inter-Governmental Authority on Development"	0.110853
"Democratic People's Republic of Korea"	0.109626
"international organization"	0.109599
"European Community"	0.105541
commonwealth	0.104536
OSCE	0.102846
bloc	0.102815
"European country"	0.102623
"World Bank"	0.101935
ESCAP	0.0992983
"European Council"	0.0991808
"United Nations"	0.0985498
Brunei	0.0982328
"Organisation of African Unity"	0.0979595
"South American Common Market"	0.0969256
"Central American country"	0.0968625
"European nation"	0.0967736
ROK	0.0952456
WTO	0.0944408
"Organization for Security and Cooperation in Europe"	0.0944239
eco	0.0943995
Laos	0.0943764
IGAD	0.0935735
"Unites States"	0.0931501
WEU	0.0928018
"Balkan country"	0.0923858
"African country"	0.0913525
"U.N. agencies"	0.0893289
"member nation"	0.0890782
"Western European Union"	0.0890363
"International Monetary Fund"	0.0884441
Cambodia	0.0868619
"United Nations Security Council"	0.0865855
"U.N. Security Council"	0.0860757
"Asian Development Bank"	0.0856656
"Damascus Declaration"	0.0855876
"United Nations Conference on Trade and Development"	0.0852904
Ci	0.0851232
ECOWAS	0.0849873
OPEC	0.0848185
NATO	0.0846352
UNESCO	0.0844035
Malaysia	0.0842676
Myanmar	0.0834133
"Southeast Asia"	0.0831342
"Islamic Conference"	0.082332
"Arab Parliamentary Union"	0.0823203
"UN Security Council"	0.0818976
"Common Market"	0.0807283
organisation	0.0804206
Thailand	0.0802709
Interpol	0.0801875
"World Health Organization"	0.0796811
"Russian Federation"	0.0794198
Philippines	0.079396
"Papua New Guinea"	0.0793695
"Council of Ministers"	0.0790768
"Latin America"	0.079055
Mongolia	0.0789297
Bangladesh	0.0788655
DPRK	0.0787037
"European Commission"	0.0781788
"Saudi Arabia"	0.0775294
"Latin American"	0.0769031
"Southern Africa Development Community"	0.0766515
"Inter-Parliamentary Union"	0.076471
G@	0.0764524
D-@	0.076296
"United Kingdom"	0.0761982
Singapore	0.0758063
"Viet Nam"	0.0756438
forum	0.0755451
"International Labor Organization"	0.0752072
"European Space Agency"	0.0750068
"standing committee"	0.0749725
Koreas	0.0746999
Indonesia	0.0746383
Alliance	0.0744817
"East African Cooperation"	0.074206
"United Nations Development Program"	0.0737848
Council	0.0731226
"United Nations Educational, Scientific and Cultural Organization"	0.0730108
Tanzania	0.0728309
"Ministerial Meeting"	0.072707
UPU	0.0723101
Egypt	0.0722846
"European Monetary Union"	0.0722579
"PLO Executive Committee"	0.0722167
"International Federation"	0.0714403
Vietnam	0.0713426
Mauritius	0.0711815
Lao	0.0707871
"Paris Club"	0.0704588
"major power"	0.0704255
EAC	0.0704191
ADB	0.0701888
"African nation"	0.0701597
UN	0.0700493
"Olympic Council of Asia"	0.0700191
Pakistan	0.0697589
"International Maritime Organization"	0.0694504
"Security Council"	0.0689542
U.N.	0.0689043
"Socialist Party"	0.068707
Oceania	0.068617
cabinet	0.0683681
"People's Republic of China"	0.0683263
"Central Organ"	0.0681604
"ASEAN Secretariat"	0.0680119
"ASEAN Ministerial Meeting"	0.0674109
EC	0.0673501
"Executive Committee"	0.0673196
WIPO	0.0669654
"Communist Party of China"	0.066871
association	0.066764
India	0.0663264
"World Tourism Organization"	0.0658111
"Congress Working Committee"	0.065726
IPU	0.0656984
Kazakhstan	0.0654928
"Food and Agriculture Organization"	0.0652676
"South Korea"	0.0652573
"United Nations agency"	0.0648224
"World Intellectual Property Organization"	0.0648072
"South Africa"	0.0644987
"Universal Postal Union"	0.0644924
"ASEAN Free Trade Area"	0.0643326
"National Gambling Impact Study Commission"	0.0642114
"National Council of Churches"	0.0639969
"Economic Commission for Africa"	0.0639152
"China Youth Development Foundation"	0.0638938
"European Parliament"	0.0636922
"East Asia"	0.0636842
Asian	0.0636108
"Indonesian Armed Forces"	0.0634607
NAM	0.0629684
"working group"	0.0626348
IMF	0.0625005
troika	0.0624582
"Middle East"	0.0623814
"Central Committee"	0.0621513
Asia-Pacific	0.061808
"International Committee"	0.061803
Ukraine	0.0617609
"African Unity"	0.0616985
Nepal	0.061603
"trade union"	0.061529
))
(assortment (desc 24032.2) (sims
array	0.142767
variety	0.0920396
plethora	0.0872857
collection	0.0860039
mix	0.0851604
repertoire	0.0753303
multitude	0.0711061
bunch	0.0705239
selection	0.0684124
abundance	0.0678969
trove	0.067627
cache	0.0668654
type	0.0662398
melange	0.0644779
"cast of characters"	0.0632547
plenty	0.0625192
slew	0.0623468
profusion	0.0622934
quantity	0.0619067
lot	0.0615371
hodgepodge	0.0603467
piece	0.0602285
assemblage	0.0601939
catalog	0.0600861
handful	0.0600661
dozen	0.0599322
"two boxes"	0.058478
blend	0.0580474
sort	0.0575581
truckload	0.0569782
panoply	0.0558616
compilation	0.0556085
"treasure trove"	0.0553457
"full complement"	0.0548618
description	0.0535386
smorgasbord	0.0527278
"large number"	0.0526021
batch	0.0522945
string	0.052046
combination	0.0516784
palette	0.0503582
shipment	0.0503066
menu	0.0501797
inventory	0.0497983
pile	0.0495139
mishmash	0.0492592
flavor	0.0492016
jumble	0.0491794
catalogue	0.0491123
hundred	0.0490205
bevy	0.0487576
bit	0.0480827
stack	0.0480657
cornucopia	0.0477864
roomful	0.0477747
ton	0.0467781
cluster	0.0465679
mosaic	0.0464386
bag	0.0462675
"new line"	0.0460943
"more than @,@@@ tons"	0.0459514
thousand	0.0459451
juxtaposition	0.0451286
Compendium	0.0449947
"cross section"	0.0449491
sampling	0.0446999
Proliferation	0.0445346
photo	0.0445095
litany	0.0444947
mixture	0.0444899
menagerie	0.0441222
bundle	0.0438675
seller	0.0433317
repertory	0.0432897
collage	0.0432811
replica	0.0432118
database	0.042862
manner	0.0428371
availability	0.0427795
chunk	0.0427672
dearth	0.0427119
POTPOURRI	0.0425565
welter	0.0424517
trio	0.0421412
fragment	0.0419076
myriad	0.0418789
coterie	0.0417599
sample	0.0417138
raft	0.0415133
stockpile	0.041441
gaggle	0.0414325
depiction	0.0413391
crate	0.0412929
category	0.0411234
importation	0.0410985
buffet	0.0410966
bounty	0.0406459
layer	0.0404951
consignment	0.0404145
glut	0.0403815
spectrum	0.0403099
Arsenal	0.0401071
))
("assumed name" (desc 2006.88) (sims
"false name"	0.255719
alias	0.12579
"police guard"	0.109673
"poverty line"	0.0725491
shredders	0.0616042
hyphen	0.047148
"maiden name"	0.0453032
"extension cord"	0.0432093
"electrical device"	0.0422068
endoscope	0.0414432
"Francisco Franco"	0.0408807
))
(assumption (desc 40131.5) (sims
notion	0.108802
theory	0.108217
presumption	0.107592
projection	0.105485
perception	0.105443
belief	0.104211
assertion	0.101428
stereotype	0.0996185
prediction	0.0988416
calculation	0.0943403
expectation	0.0935442
premise	0.0928533
conclusion	0.0890957
idea	0.0862112
concept	0.0829655
scenario	0.0818806
misconception	0.0816061
interpretation	0.0815773
estimate	0.08097
principle	0.080131
judgment	0.0799999
forecast	0.0775642
attitude	0.0775601
philosophy	0.0768827
speculation	0.076767
hypothesis	0.076675
claim	0.0766182
suggestion	0.076492
myth	0.0754943
assessment	0.0749616
sense	0.074934
suspicion	0.0745267
reasoning	0.0731784
view	0.072611
understanding	0.0721233
logic	0.0720478
rationale	0.0720326
finding	0.071485
strategy	0.0713795
accusation	0.0712928
argument	0.0705414
opinion	0.0703709
reality	0.0703494
question	0.0692629
approach	0.0692522
proposition	0.0687828
fear	0.0687397
fact	0.0686934
wisdom	0.0683665
doctrine	0.0681408
concern	0.0678994
policy	0.0678658
misunderstanding	0.0674243
hunch	0.0670707
prejudice	0.0665043
optimism	0.0664344
guess	0.0662479
ideology	0.0657392
impression	0.0656262
feeling	0.0656092
method	0.0655782
rumor	0.0654652
inference	0.0654085
thinking	0.0652491
explanation	0.0648612
outlook	0.0647365
allegation	0.0646937
preconception	0.0638246
sentiment	0.0636139
definition	0.0634788
objective	0.062753
supposition	0.06258
analysis	0.0623231
vision	0.0620945
value	0.0619527
trend	0.0612866
instinct	0.0609982
decision	0.0609601
methodology	0.0609363
guideline	0.0609329
tendency	0.0609162
basis	0.060855
Formula	0.0606496
illusion	0.0605034
"rule of thumb"	0.0602677
proposal	0.0600033
aspect	0.059404
conviction	0.0593817
hypotheses	0.0589992
requirement	0.0589978
adjustment	0.0587936
worry	0.0587793
truth	0.0587307
recommendation	0.0584726
circumstance	0.0581401
valuation	0.0581389
habit	0.0580471
thought	0.0579682
certainty	0.0579561
tactic	0.0578968
fundamental	0.0578763
desire	0.057787
procedure	0.0575009
indicator	0.0573771
viewpoint	0.0573253
statement	0.0572252
factor	0.0571871
bias	0.0571656
tradition	0.0569793
element	0.0567464
observation	0.056635
stance	0.0566315
criteria	0.0566274
image	0.056382
advice	0.0563426
generalization	0.0561439
precedent	0.0559485
description	0.0559446
answer	0.0555792
dogma	0.0553714
knowledge	0.0553552
uncertainty	0.0553488
theme	0.0549619
behavior	0.0548758
comment	0.0548652
tenet	0.0548208
characteristic	0.05472
pledge	0.0546581
mentality	0.0546537
"point of view"	0.0545997
measurement	0.05453
evidence	0.0544999
flaw	0.0540398
denial	0.0539955
constraint	0.0539402
pattern	0.0539309
determination	0.0538356
confidence	0.0537472
rhetoric	0.0535662
standard	0.0535004
nature	0.0532308
parameter	0.0529139
ideal	0.0528922
norm	0.052852
complacency	0.0528278
cliche	0.0527551
trait	0.0527294
strength	0.0526834
structure	0.0525865
condition	0.0523983
ignorance	0.0523959
dream	0.0523297
commitment	0.0523115
perspective	0.0518206
mindset	0.0517412
Truism	0.0517061
acknowledgment	0.0515954
"basic principle"	0.0514141
Declaration	0.0513447
faith	0.0512236
timetable	0.0512203
code	0.0511684
prospect	0.051059
impulse	0.0509769
pronouncement	0.0509492
consensus	0.0508138
provision	0.0507429
balance	0.0506516
awareness	0.0506487
revision	0.050647
joke	0.0506065
intention	0.0505294
priority	0.0505121
pessimism	0.0504999
statistic	0.0504906
data	0.0503333
Limitation	0.0502705
axiom	0.0502095
willingness	0.0500989
disclosure	0.0500955
ethic	0.0500694
technique	0.050025
indication	0.05002
recognition	0.0495349
emotion	0.0495185
criticism	0.0493349
arithmetic	0.0493257
wish	0.0492891
acceptance	0.0488804
complaint	0.0488313
mistake	0.0486607
restriction	0.0483573
lesson	0.0483125
skepticism	0.0482747
message	0.0482735
"market value"	0.0481974
tone	0.0480749
distinction	0.0480626
enthusiasm	0.0480503
regulation	0.0480283
))
(assurance (desc 47404.6) (sims
guarantee	0.145868
promise	0.129213
pledge	0.123995
clarification	0.114784
commitment	0.114308
reassurance	0.111865
apology	0.104778
statement	0.104324
concession	0.103935
explanation	0.101531
warning	0.0949741
support	0.09482
advice	0.0929065
comment	0.0916021
confirmation	0.0909387
Declaration	0.0906144
suggestion	0.0891729
permission	0.0888542
certainty	0.0879973
assessment	0.0878133
encouragement	0.0877888
denial	0.0867846
assertion	0.0856217
instruction	0.0854644
proposal	0.0851022
response	0.0848002
recommendation	0.0845405
approval	0.0837971
indication	0.083643
plea	0.0830613
assistance	0.0829063
gesture	0.0825979
invitation	0.0816436
request	0.0808875
proof	0.0805773
guidance	0.0804273
appeal	0.0800981
determination	0.0796855
authorization	0.0792513
confidence	0.079152
directive	0.0790662
announcement	0.0784979
message	0.0783318
backing	0.0780948
claim	0.0780259
information	0.0778709
recognition	0.0778287
endorsement	0.0774408
decision	0.0770849
ultimatum	0.076273
flexibility	0.0755662
pronouncement	0.0754731
evidence	0.0749647
understanding	0.073872
letter	0.0738103
measure	0.0737287
oversight	0.0735359
acceptance	0.0734754
disclosure	0.0734744
criticism	0.0733573
overture	0.0733142
accountability	0.0732986
remark	0.0727824
willingness	0.0721849
acknowledgment	0.0720927
answer	0.0718034
incentive	0.0716187
protection	0.0714789
safeguard	0.0713804
representation	0.0709656
input	0.0707956
policy	0.0706415
intervention	0.0703197
threat	0.0702786
documentation	0.0701716
concern	0.0701637
feedback	0.0694273
testimony	0.0691581
agreement	0.0687866
cooperation	0.0687579
sincerity	0.06861
prediction	0.068585
verification	0.0683945
question	0.0679263
word	0.0676093
rejection	0.0671107
signal	0.0670826
notification	0.0670125
intention	0.0670066
objection	0.0666764
clarity	0.066432
certification	0.0663693
hint	0.0660985
opposition	0.0656485
effort	0.0656207
reply	0.0649296
expertise	0.0648962
admission	0.0648528
clearance	0.0645747
awareness	0.0644148
stance	0.0643412
action	0.0643174
insistence	0.0643112
reaction	0.0642368
argument	0.0642254
conclusion	0.0640731
initiative	0.0638291
knowledge	0.0633105
condemnation	0.0631772
relief	0.0626643
optimism	0.0622942
scrutiny	0.0617393
accusation	0.0617363
withdrawal	0.0616167
aid	0.061573
compensation	0.0614172
intelligence	0.0611662
security	0.0610964
caution	0.0610807
resignation	0.0610374
notice	0.0609851
credibility	0.0608309
rhetoric	0.0608203
restraint	0.0608202
allegation	0.0605553
consideration	0.0604638
pressure	0.060411
acknowledgement	0.0602909
idea	0.0602307
confession	0.060093
"financial aid"	0.0599675
responsibility	0.0599315
comfort	0.0598606
mandate	0.0598547
forgiveness	0.0597912
regulation	0.0595006
mediation	0.0593205
judgment	0.0592766
strategy	0.059157
complaint	0.0591256
refusal	0.0591032
participation	0.059055
honesty	0.0590033
Openness	0.0589899
justification	0.0589827
provision	0.0588576
detail	0.0588502
expectation	0.0588358
evaluation	0.0588204
"phone call"	0.0584953
seriousness	0.0584834
attention	0.0584127
funding	0.0582407
opinion	0.0582339
sense	0.0580252
sympathy	0.0578603
"green light"	0.0578383
enforcement	0.0577542
improvement	0.0576928
interpretation	0.0576697
leverage	0.0576411
respect	0.0576301
benefit	0.0574786
wish	0.0574485
consent	0.0573773
transparency	0.0573642
compromise	0.0572558
consultation	0.0572051
obligation	0.0571907
analysis	0.057175
credit	0.0571444
affirmation	0.0570665
capability	0.0570654
waiver	0.0568286
speech	0.0568098
document	0.0567376
urgency	0.0567222
gift	0.056687
briefing	0.0566767
"policy change"	0.0566673
loyalty	0.0565909
coordination	0.0565384
treatment	0.0563376
discussion	0.056288
insight	0.0561632
enhancement	0.0561373
guideline	0.0561062
management	0.0560151
emphasis	0.0560001
reaffirmation	0.0559833
resolution	0.0559316
leniency	0.0557845
description	0.0557784
access	0.0557743
progress	0.0557525
prodding	0.0557288
financing	0.0556217
privilege	0.0554912
amnesty	0.0554141
blessing	0.0554089
))
(AST (desc 1575.55) (sims
Acer	0.209394
"Packard Bell"	0.202859
"Digital Equipment"	0.145114
Casio	0.121246
"Hewlett Packard"	0.113554
Fujitsu	0.098127
Hewlett-Packard	0.0966158
Micron	0.0919579
"Dell Computer"	0.0915838
"Sun Microsystems"	0.0876336
"Texas Instruments"	0.0848835
HP	0.0848062
NEC	0.0820647
"Silicon Graphics"	0.0806234
Panasonic	0.0788921
SGI	0.0761736
Toshiba	0.074514
Intergraph	0.0701919
"Hewlett-Packard Co."	0.0690046
Philips	0.0664715
Unisys	0.0635953
emachines	0.0635355
"Compaq Computer"	0.0605362
"Nortel Networks"	0.0598548
GA	0.0580486
Informix	0.0571248
RealNetworks	0.055748
Lg	0.0549751
"Sun Microsystems Inc."	0.053162
Epson	0.052624
AMD	0.0524826
"Lotus Development Corp."	0.052088
Checkfree	0.0506175
Seagate	0.0498543
thee	0.049826
"Qwest Communications"	0.0491284
"Bay Networks"	0.049015
Matsushita	0.0480571
"Consolidated Edison"	0.0479062
Pts	0.0478662
EMC	0.0464659
Thinkpad	0.0461631
Kendall-Jackson	0.0445567
"Bell South"	0.0444344
"Andersen Consulting"	0.0436375
GPU	0.0427634
"IBM Corp."	0.0427289
"NEC Corp."	0.0412685
"Radio Shack"	0.0410138
"Big Blue"	0.0405411
"Symantec Corp."	0.0403623
))
(Astacio (desc 1420.96) (sims
Rusch	0.279024
Kile	0.259454
Trachsel	0.252849
Petkovsek	0.241734
D'Amico	0.232396
Hermanson	0.230308
Radke	0.228224
Schourek	0.227783
Lieber	0.220744
Bere	0.212759
Dempster	0.211228
Tapani	0.210321
Cloude	0.205444
Hentgen	0.20457
Rueter	0.200146
Ankiel	0.197992
Candiotti	0.197405
Benes	0.19684
Harnisch	0.196703
Reynoso	0.196376
"Russ Ortiz"	0.195817
Bottenfield	0.195687
Pavano	0.190705
"Jeff Weaver"	0.189209
"Mike Sirotka"	0.187937
Daal	0.187619
Mussina	0.182361
"Dustin Hermanson"	0.181302
Tomko	0.181183
Yoshii	0.180535
Loaiza	0.180117
"Brian Moehler"	0.178972
"Jon Lieber"	0.177937
"Eric Milton"	0.177681
Moehler	0.176895
Burkett	0.176346
Parris	0.176073
Mulholland	0.175877
"Jesus Sanchez"	0.173473
Mlicki	0.173194
"Pedro Astacio"	0.169466
Bohanon	0.168923
"BRIAN MEADOWS"	0.16708
"Shawn Estes"	0.165853
Rapp	0.165832
"Chris Carpenter"	0.165741
Gagne	0.165577
Burba	0.165366
"Francisco Cordova"	0.164756
Mantei	0.163021
Isringhausen	0.162523
Cormier	0.162016
Mercker	0.16122
Elarton	0.159947
Helling	0.159125
Remlinger	0.158095
Nagy	0.157551
"Javier Vazquez"	0.156811
Fassero	0.154549
"Jason Schmidt"	0.154335
Dreifort	0.154302
Vazquez	0.153986
"Jamey Wright"	0.153874
Appier	0.153042
Hershiser	0.152345
"Kirk Rueter"	0.151525
Herges	0.150626
Heredia	0.14942
Moyer	0.148957
Suppan	0.148641
Dotel	0.148326
Sele	0.148265
"John Burkett"	0.148049
Olivares	0.14771
Halama	0.146899
Checo	0.146622
McElroy	0.145612
"Jim Parque"	0.144136
"Steve Parris"	0.14322
"Jason Bere"	0.142515
Valdes	0.142443
estes	0.142353
Osuna	0.142022
"Woody Williams"	0.141969
"Danny Graves"	0.141804
Mahomes	0.14138
Cordova	0.141303
"Matt Mantei"	0.141164
Glavine	0.140977
Belcher	0.140142
"Scott Erickson"	0.139861
"Bryce Florie"	0.139576
"Brian Anderson"	0.139503
Hasegawa	0.139228
Munoz	0.138427
Millwood	0.137996
Arrojo	0.137269
Saberhagen	0.137051
Leiter	0.136531
"Dave Mlicki"	0.136422
Radinsky	0.136207
"Mark Gardner"	0.136079
Gooden	0.135845
"Scott Sullivan"	0.135212
"Brian Bohanon"	0.134105
Grimsley	0.133795
Woodard	0.133748
Pulsipher	0.132946
"Andy Benes"	0.132384
Eldred	0.131161
"Kevin Appier"	0.130416
"Brad Radke"	0.130111
"Paul Shuey"	0.130056
Dickson	0.129236
"Tim Belcher"	0.128279
Borbon	0.127056
Nomo	0.126221
fetter	0.126198
looper	0.12605
Haynes	0.12577
"Tom Candiotti"	0.125632
"Jason Christiansen"	0.125197
"Pat Hentgen"	0.125092
Orosco	0.124366
"Dave Burba"	0.123548
Batista	0.123332
Ortiz	0.123137
"Kevin Tapani"	0.123045
"Byung-Hyun Kim"	0.122598
"Maturino Resendiz"	0.122567
Hudek	0.121861
Contreras	0.121774
"John Snyder"	0.121507
"Rick White"	0.121443
Escobar	0.121214
Clement	0.120659
Schilling	0.120229
"Armando Reynoso"	0.120208
"Scott Karl"	0.120071
"Pat Rapp"	0.119766
"Matt Morris"	0.119729
"Terry Mulholland"	0.119508
Meadows	0.119071
Washburn	0.118723
"Omar Olivares"	0.118622
Percival	0.118456
Guzman	0.117927
Ashby	0.117547
Padilla	0.117491
"Robb Nen"	0.117379
"STEVE WOODARD"	0.116337
Stottlemyre	0.11606
"Joey Hamilton"	0.114446
Etherton	0.114169
Milton	0.113965
"Gil Heredia"	0.113675
Pettitte	0.11363
"Turk Wendell"	0.113625
"Darren Dreifort"	0.113568
"Brett Tomko"	0.113261
"Livan Hernandez"	0.112949
"Dan Miceli"	0.112747
"Darryl Kile"	0.112671
Wakefield	0.11262
"Rick Reed"	0.112559
Irabu	0.110801
Perisho	0.110796
"Steve Trachsel"	0.11077
Wasdin	0.10993
Cordero	0.109884
Neagle	0.109545
"Shane Reynolds"	0.109474
Neulander	0.109244
Hiett	0.108951
"Aaron Sele"	0.108684
"Tim Wakefield"	0.108592
"Mark Portugal"	0.108504
"Jose Mesa"	0.1078
"Ismael Valdes"	0.107758
"Mike Remlinger"	0.107403
Wetteland	0.107076
Finley	0.106879
"Rolando Arrojo"	0.106858
"Chan Ho Park"	0.106567
Wohlers	0.106488
"Jose Paniagua"	0.105845
Navarro	0.105796
Masaoka	0.105493
Benitez	0.105419
"Steve Sparks"	0.10522
Starzz	0.105032
"Mark Clark"	0.104835
"Ron Villone"	0.104672
"Curt Schilling"	0.104389
"Wilson Alvarez"	0.104006
"Esteban Loaiza"	0.103944
"Randy Myers"	0.103831
"Paul Abbott"	0.103662
"Mark Petkovsek"	0.103537
"Jamie Moyer"	0.103467
Erickson	0.103298
"Tim Crabtree"	0.103213
"Scott Radinsky"	0.102945
Renteria	0.102857
Maddux	0.102483
"Matt Franco"	0.102409
"Carl Pavano"	0.101851
Gardner	0.101475
"Alan Embree"	0.101276
Castillo	0.100736
Paniagua	0.100728
Meche	0.10071
Smoltz	0.100199
"Carlos Perez"	0.100126
))
(Astaire (desc 1061.8) (sims
"Fred Astaire"	0.149052
Johanna	0.0997009
Lockwood	0.0887176
Waltrip	0.0828621
Peretz	0.0817257
Yoakam	0.0804925
"De Palma"	0.0733178
Shatner	0.071917
Cato	0.0676092
Midler	0.0675632
Connery	0.0669519
"Paul Robeson"	0.0662555
Carrey	0.0647571
"True Thing"	0.0644588
Cleese	0.0621711
ancients	0.0613104
Muoneke	0.0608619
Mae	0.0598048
Benigni	0.0584584
Pickett	0.0567873
"Thomas Edison"	0.0558851
Steffi	0.0558706
"American Ballet Theater"	0.0557766
Penders	0.0557235
"Henry Fonda"	0.0549698
Groucho	0.0543523
Updike	0.0542357
Frankenheimer	0.0539778
"Dale Jr."	0.0538822
Fasano	0.0532134
Baryshnikov	0.0531163
"James Cagney"	0.0530737
Bocelli	0.0528537
Neilson	0.0525126
Grasso	0.0523605
Keene	0.0522964
Shannon	0.0517714
Spyridon	0.0515504
Sheedy	0.0513322
Blount	0.0512422
"Di Canio"	0.0495478
"Dirty Bird"	0.0494863
Harbaugh	0.0494437
sherpas	0.0490031
Bergeron	0.0486462
imp	0.0486239
Deion	0.0482163
Puente	0.0481266
Marion	0.0478651
LaBute	0.0477681
Halberstam	0.0474858
Monteverdi	0.0469268
"John Wayne"	0.0467852
BANDERAS	0.0467407
Quackenbush	0.0464231
"Lana Turner"	0.0463385
Alicea	0.046051
"Garrison Hearst"	0.0459211
Perrot	0.0457253
Barbour	0.0454739
"Old Glory"	0.0453124
"Cliff Robinson"	0.045234
Lyn	0.0451916
Miyazaki	0.045179
Alexie	0.0451709
Paltrow	0.0449376
"Bill Buckner"	0.044575
Vinny	0.0445606
Yarnall	0.044414
Marchment	0.0441688
Kerouac	0.0441277
Farrell	0.0440445
Bogart	0.0436397
"George W."	0.0436376
Gabe	0.0435315
Batouty	0.043426
heron	0.0434104
Ingalls	0.0432883
Fred	0.043268
Chenoweth	0.0429697
Dion	0.0429019
Godina	0.0428693
"Johnny Cash"	0.0427404
Gannon	0.0424829
Schwarzenegger	0.0424378
Greenwald	0.0423598
"queen mother"	0.0421272
"Gabe Muoneke"	0.0420198
Namath	0.0419465
Zamorano	0.0412868
Dorothy	0.0412343
Villalonga	0.0409646
Sophie	0.0409056
"Salim Saleh"	0.0406725
Brendan	0.040672
"Sandra Bullock"	0.0406568
Menuhin	0.0406258
"Noel Coward"	0.0406033
"La Mont"	0.0404361
McCann	0.0404353
Karmazin	0.040261
buzzard	0.0401994
Mohr	0.040173
Durwood	0.0401653
))
(Astana (desc 1434.03) (sims
Almaty	0.273333
Chisinau	0.225254
Alma-Ata	0.197033
Yerevan	0.177546
Charikar	0.174653
Taloqan	0.167771
Vilnius	0.165642
Ashkhabad	0.164603
Tbilisi	0.16452
Jayapura	0.162046
Tashkent	0.161209
Gaborone	0.157426
"ALMA ATA"	0.157416
Ndola	0.157274
Vladikavkaz	0.156777
Bamako	0.154052
Manado	0.152669
Windhoek	0.151046
Dushanbe	0.148719
Lucknow	0.147738
Mbabane	0.144469
Kuching	0.139052
Jalalabad	0.137483
Kupang	0.135315
Bishkek	0.133805
Accra	0.130134
PATNA	0.129205
Muscat	0.12908
Bangui	0.128414
Podgorica	0.127566
Lubumbashi	0.126407
Rabat	0.124981
Chennai	0.124915
Minsk	0.124735
Quetta	0.122646
Skopje	0.122317
MANAMA	0.120928
Hyderabad	0.120393
Maseru	0.119683
Kuito	0.118329
Ibadan	0.118205
Asuncion	0.118068
"San Pedro Sula"	0.116761
Moroni	0.114749
Bangalore	0.112084
Cartagena	0.111463
Krasnoyarsk	0.110509
Asmara	0.110417
"Banja Luka"	0.110015
Vientiane	0.109473
Suva	0.109125
"Ulan Bator"	0.108601
Merida	0.108536
Ljubljana	0.108372
Pretoria	0.108277
Monrovia	0.107002
Tripoli	0.106929
Medan	0.105276
Peshawar	0.104646
Makhachkala	0.103789
Bujumbura	0.103599
Tallinn	0.103191
Srinagar	0.102273
Baikonur	0.102119
Lome	0.102028
Xian	0.101998
Conakry	0.101168
Murmansk	0.100102
"Bandar Seri Begawan"	0.100094
BLANTYRE	0.0991287
BRATISLAVA	0.0983627
Abuja	0.097091
Abidjan	0.0967975
Gudermes	0.0963144
Kabwe	0.0960659
Bern	0.0950468
Doha	0.0948164
Urumqi	0.0947375
Riyadh	0.0944759
Yaounde	0.0929225
Kandy	0.0928572
Ouagadougou	0.0927352
Vitoria	0.0921482
Klagenfurt	0.0921398
Surabaya	0.091898
Bissau	0.091641
Dili	0.0915142
Shiraz	0.0909585
Huambo	0.0908612
Yinchuan	0.0908474
Juba	0.0900992
Medellin	0.0899137
Nago	0.0899062
Sochi	0.0897725
Krakow	0.0894933
SOFIA	0.089265
Nanning	0.0887412
Denpasar	0.0886947
Golmud	0.0885111
Harbin	0.0884917
Irbil	0.0881866
"Novi Sad"	0.0876465
Lahore	0.0876197
Riga	0.0870011
Haikou	0.086828
Reykjavik	0.0867898
Beersheba	0.0866432
Mosul	0.086588
Cebu	0.0862275
Dresden	0.0861341
Catania	0.0860521
Beira	0.0860278
Xining	0.0858964
Weimar	0.0854547
Jeddah	0.0849462
Calcutta	0.0848919
Yekaterinburg	0.0833898
Ambon	0.0833675
Honiara	0.0833657
Algiers	0.0830415
KIEV	0.0826624
Guiyang	0.0823912
"Port Moresby"	0.0823515
Libreville	0.0822071
Lhasa	0.0819197
Bukavu	0.0814792
Mazar-i-Sharif	0.0812513
Brazzaville	0.0810618
Kigali	0.0808885
SANAA	0.0807556
Panzhihua	0.0807037
Kinshasa	0.0804668
Luanda	0.0803133
MAPUTO	0.0802556
Durban	0.0802057
Posoltega	0.0801757
"La Paz"	0.0798746
HANOI	0.0796971
"CHIANG MAI"	0.0794869
Goma	0.0794178
Khartoum	0.0790637
Casas	0.0789996
Sapporo	0.0789774
Kunming	0.0782675
"Abu Dhabi"	0.0782296
Hohhot	0.078207
"San Salvador"	0.0780321
Kisumu	0.0778812
Thessaloniki	0.0778075
Baotou	0.0776031
"Albanian capital"	0.0774408
Isfahan	0.0773301
Belfast	0.0769992
Zhengzhou	0.0765349
BRASILIA	0.0763741
Baku	0.0761421
Bengkulu	0.075938
Katmandu	0.0753865
"Egyptian capital"	0.0752092
Cairns	0.075199
Brisbane	0.0751654
MONTEVIDEO	0.0749578
"East Room"	0.0747556
Bulawayo	0.074631
Kitwe	0.0745754
Oslo	0.0745613
Hefei	0.0742348
Ur	0.0740055
Davao	0.0738982
Ramallah	0.0736827
Tachilek	0.0736753
"Cape Town"	0.0734237
Nakuru	0.073272
TIRANA	0.0728873
Basle	0.0725317
Tapachula	0.0724156
Durres	0.0723999
Mostar	0.0723619
Antalya	0.0723151
Karachi	0.0720473
Changsha	0.0720451
Valletta	0.0719485
Shijiazhuang	0.0718763
Saida	0.0718063
Bandung	0.0717984
Yogyakarta	0.0716986
Jingdezhen	0.0715988
Bari	0.0714504
CARACAS	0.0711352
Lhokseumawe	0.0709923
Atambua	0.070938
Lanzhou	0.0707705
Kirghizstan	0.0703346
Ismailia	0.0702749
Christchurch	0.0702175
Cochabamba	0.070214
Kizlyar	0.0699183
Quito	0.0697736
Gulu	0.0696752
Sanya	0.069523
))
(aster (desc 1315.37) (sims
goldenrod	0.114149
petunia	0.113708
marigold	0.112754
ragweed	0.0925855
"black-eyed Susan"	0.0917901
carnation	0.0900794
dahlia	0.0815478
pansy	0.0792538
sunflower	0.0755778
hosta	0.0737058
chrysanthemum	0.0707056
sedum	0.068846
Lantana	0.0636359
"day lily"	0.0630082
poppy	0.0619577
Daisy	0.0614345
impatiens	0.0607685
hibiscus	0.0567712
"morning glory"	0.0564575
verbena	0.056302
chamomile	0.0538539
canna	0.0507065
poinsettia	0.0481241
vestment	0.0468908
"feather boa"	0.0450264
beak	0.0418379
hyacinth	0.0418156
Milkweed	0.0417693
"New Carissa"	0.0414374
))
(asterisk (desc 6564.79) (sims
"dollar sign"	0.0864163
caveat	0.0726559
blemish	0.066304
"question mark"	0.059298
notation	0.0574997
"exclamation point"	0.0568338
footnote	0.0567517
band-aid	0.0514407
postmark	0.050373
chokehold	0.0495895
"price tag"	0.0493246
disclaimer	0.048637
blinder	0.0473894
stigma	0.0473608
marking	0.0470388
finger-pointing	0.0462089
"hole in the ground"	0.0458795
decal	0.0455416
"fig leaf"	0.0451456
blooper	0.0440656
plaque	0.0439549
corroboration	0.0435961
"bullet hole"	0.0432873
imprimatur	0.0430974
wrinkle	0.0430492
hiccup	0.042942
connotation	0.0423353
pizazz	0.0422473
muzzle	0.0420812
guesswork	0.0416964
blinker	0.0416923
inkling	0.0411615
anomaly	0.0408121
sticker	0.040662
stylus	0.0403669
insignia	0.0401452
"three pitchers"	0.0400907
))
(asteroid (desc 14693.8) (sims
comet	0.140703
Meteor	0.131424
meteorite	0.121609
planet	0.119971
Moon	0.0946613
object	0.0933445
galaxy	0.088542
particle	0.0844233
Europa	0.0801368
Eros	0.0779117
tornado	0.0776769
Jupiter	0.0747021
electron	0.0743805
projectile	0.074233
quasar	0.070195
Pluto	0.0678896
spacecraft	0.0673151
Mars	0.0669043
"neutron star"	0.0663738
debris	0.0641556
earth	0.0638494
insect	0.0634361
"black hole"	0.0634259
supernova	0.0634213
twister	0.0634017
"freight train"	0.0630207
Dinosaur	0.0625307
molecule	0.0621986
"solar system"	0.0609892
warhead	0.060965
"Hurricane Georges"	0.0607183
iceberg	0.0604971
hurricane	0.0604184
"solar eclipse"	0.0601105
bug	0.0594255
tsunami	0.0591001
virus	0.058641
mudslide	0.0577011
"Hurricane Bonnie"	0.05677
microbe	0.0566909
Boulder	0.0566433
missile	0.0564336
Io	0.0563693
"Red Planet"	0.0560922
cyclone	0.0558349
Typhoon	0.055415
"warm front"	0.0553549
telescope	0.0546267
creature	0.0546049
"express train"	0.0531776
"tractor trailer"	0.0530234
Satellite	0.0528166
bacterium	0.0526426
fireball	0.0525202
snake	0.0523437
volcano	0.0522601
"explosive device"	0.0520732
"tidal wave"	0.0519285
bird	0.0518733
"life form"	0.0517766
sandstorm	0.051714
"subatomic particle"	0.051615
fragment	0.051152
bullet	0.051148
earthquake	0.0511042
vertebrate	0.0509618
"passenger train"	0.0507981
Neptune	0.0506565
"Hurricane Floyd"	0.050504
Floyd	0.0503145
tarpon	0.0501449
fossil	0.049928
"storm cloud"	0.0498947
aftershock	0.0496146
"American plane"	0.0495245
tumor	0.0493209
"commuter train"	0.0491086
turtle	0.0490838
Learjet	0.0489767
temblor	0.0489091
submarine	0.0487891
lightning	0.0487459
shrapnel	0.0484195
Quake	0.0483111
Mir	0.0481836
tanker	0.0480854
organism	0.0479217
"oil tanker"	0.0476795
mammal	0.047626
lizard	0.0474457
wildfire	0.047316
bomber	0.0470535
shark	0.0468383
locust	0.0464678
pandemic	0.0464213
"ballistic missile"	0.0462876
"cargo ship"	0.0462859
neutrino	0.0462017
"time bomb"	0.0459904
UFO	0.04599
bacteria	0.0458762
dust	0.045718
wreckage	0.0457098
Cessna	0.0455049
microorganism	0.0452799
rig	0.0452434
"container ship"	0.0451911
whale	0.0451455
Saturn	0.0450509
crocodile	0.0449919
amphibian	0.0447311
Babs	0.0446695
epidemic	0.0441312
Universe	0.0439862
"space station"	0.0439619
monster	0.0438641
glitch	0.0438366
Thunderstorm	0.0436688
"meteor shower"	0.0435541
cloud	0.0435096
wreck	0.0434773
"pickup truck"	0.0434602
spider	0.0434593
"safety problem"	0.0433999
nuclei	0.043226
Atom	0.043193
worm	0.0431648
"mushroom cloud"	0.0428697
beetle	0.0428655
alien	0.0428154
hacker	0.042706
"Flight @@@@"	0.0426847
freighter	0.0425926
carnivore	0.042513
"Cessna @@@"	0.0424526
Zeb	0.042398
"police car"	0.0423501
"car bomb"	0.0422719
crater	0.0421632
Mini-bus	0.0421593
minibus	0.0421571
"magnetic field"	0.0420693
"oil slick"	0.0420182
ant	0.0419111
elephant	0.0419004
"Hurricane Mitch"	0.0414669
mosquito	0.0413691
brick	0.0413245
"Hurricane Andrew"	0.0412634
"hole in the ground"	0.0411571
antigen	0.0410589
avalanche	0.0410375
"volcanic eruption"	0.0410096
"land mine"	0.0409831
deer	0.0408551
Beijingers	0.0408173
parasite	0.0408082
skull	0.0407985
jetliner	0.0407254
plume	0.0405999
termite	0.0405387
Zarya	0.0405327
albatross	0.0404742
balloon	0.0403614
Chandra	0.0403458
glacier	0.0402522
blaze	0.0401912
rainstorm	0.0401528
airplane	0.0400502
))
(asthma (desc 22601.6) (sims
diabetes	0.354914
"heart disease"	0.311799
"high blood pressure"	0.297512
hypertension	0.291467
Osteoporosis	0.279544
arthritis	0.279054
"rheumatoid arthritis"	0.26267
allergy	0.258273
"multiple sclerosis"	0.253123
"cardiovascular disease"	0.251128
Parkinson's	0.25008
leukemia	0.249348
diarrhea	0.248471
Obesity	0.245487
tuberculosis	0.239815
pneumonia	0.239255
lupus	0.238293
bronchitis	0.234759
epilepsy	0.231483
cancer	0.228793
schizophrenia	0.228398
ulcer	0.227942
emphysema	0.227477
"Parkinson's disease"	0.227403
anemia	0.219719
disorder	0.218622
malaria	0.212738
migraine	0.210497
dementia	0.20966
autism	0.207626
"lung cancer"	0.20678
ailment	0.205219
infection	0.203334
disease	0.203156
hepatitis	0.198895
Meningitis	0.19737
cataract	0.196207
"cystic fibrosis"	0.195731
Alzheimer	0.195202
glaucoma	0.194905
syndrome	0.194175
"congestive heart failure"	0.189144
"colon cancer"	0.185946
"heart failure"	0.185208
Depression	0.183801
"back pain"	0.183646
"cerebral palsy"	0.183292
"heart condition"	0.182876
angina	0.181516
osteoarthritis	0.181059
"Lyme disease"	0.178954
flu	0.176654
illness	0.175827
"liver disease"	0.172047
HIV	0.169783
insomnia	0.16789
"kidney disease"	0.165642
"mental illness"	0.16484
malnutrition	0.164828
"respiratory disease"	0.164297
als	0.164149
impotence	0.162206
fever	0.161902
retardation	0.16179
Tb	0.160728
"heart attack"	0.160193
influenza	0.160153
psoriasis	0.160147
infertility	0.157624
"brain tumor"	0.157081
hemophilia	0.156708
"asthma attack"	0.156602
gastroenteritis	0.153554
"muscular dystrophy"	0.152499
ADHD	0.151879
Alcoholism	0.151213
dehydration	0.150567
"food poisoning"	0.148824
nausea	0.148099
"skin cancer"	0.147961
"manic depression"	0.147624
cholera	0.147306
"mental disorder"	0.147183
headache	0.14677
"hay fever"	0.146524
encephalitis	0.146317
lymphoma	0.145881
heartburn	0.144908
"infectious disease"	0.144821
symptom	0.144356
"hepatitis B"	0.142698
incontinence	0.141498
"blood pressure"	0.140782
acne	0.140345
blindness	0.140034
melanoma	0.138378
apnea	0.136476
Dysentery	0.136052
"dengue fever"	0.135614
fibrillation	0.134016
cholesterol	0.133561
diarrhoea	0.132036
HIV/AIDS	0.131186
defect	0.130147
polio	0.128771
"health problem"	0.126658
"sore throat"	0.126534
jaundice	0.126428
disability	0.125638
"chest pain"	0.125202
leprosy	0.124864
cirrhosis	0.124356
measles	0.124233
narcolepsy	0.124093
Dengue	0.123962
"sexually transmitted disease"	0.122443
tumor	0.122379
stroke	0.121773
SIDS	0.121381
abnormality	0.121262
"drug addiction"	0.120126
fatigue	0.120073
dyslexia	0.119062
syphilis	0.11489
virus	0.114304
aid	0.114248
constipation	0.113498
"lead poisoning"	0.113007
myeloma	0.112202
Addiction	0.11209
aids	0.112035
"tooth decay"	0.111346
pain	0.110697
"memory loss"	0.110609
cough	0.109082
cold	0.108643
"eye disease"	0.107873
"alcohol abuse"	0.107646
vomiting	0.107558
"malignant tumor"	0.10682
dysfunction	0.105693
atherosclerosis	0.105163
hypothermia	0.105043
"drug abuse"	0.105005
inflammation	0.104517
complication	0.103753
CJD	0.103727
"common cold"	0.102923
smoking	0.102151
deficiency	0.101855
poisoning	0.101254
"skin rash"	0.100761
Rabies	0.100408
deformity	0.0989193
impairment	0.0986877
stress	0.0985515
"substance abuse"	0.0985274
nearsightedness	0.0983285
typhoid	0.0982337
"venereal disease"	0.0963062
"skin disease"	0.0962263
"anxiety disorder"	0.0959579
stomachache	0.0959281
"bipolar disorder"	0.0958735
malady	0.0958083
"heat exhaustion"	0.0957684
injury	0.0951257
reflux	0.0948635
"genetic disease"	0.0948101
baldness	0.0940573
relapse	0.0936242
heartbeat	0.0934913
arrhythmia	0.092771
"blood clot"	0.0925087
sickness	0.0924245
kidney	0.0923201
trauma	0.0916444
Psychosis	0.0912977
"upset stomach"	0.0908185
indigestion	0.0898138
"personality disorder"	0.0892659
fracture	0.0891273
seizure	0.0886628
inhalation	0.0878965
trachoma	0.0876079
dizziness	0.0876035
"HIV/ AIDS"	0.0872421
epidemic	0.0868164
"neurological disorder"	0.0864954
gonorrhea	0.086267
hunger	0.0861474
gout	0.0853821
"air pollution"	0.0844116
"mental health"	0.0836037
anorexia	0.0835488
miscarriage	0.0833852
cramp	0.0832162
"heroin addiction"	0.0831325
pregnancy	0.0830423
lung	0.0830076
))
("asthma attack" (desc 2117.31) (sims
bronchitis	0.171397
"heart failure"	0.156773
asthma	0.156602
stomachache	0.146554
emphysema	0.146137
diarrhea	0.142719
"chest pain"	0.141674
"mental disorder"	0.137905
"liquidity problem"	0.134225
"liver disease"	0.133279
indigestion	0.13151
relapse	0.129569
"memory loss"	0.128779
"heart attack"	0.127673
hypothermia	0.122805
nausea	0.121635
insomnia	0.120761
"engine failure"	0.119874
malnutrition	0.119105
"kidney disease"	0.118869
reflux	0.11755
"food poisoning"	0.116056
"skin rash"	0.115261
"respiratory disease"	0.114519
"cardiovascular disease"	0.114248
hypertension	0.113819
"heart disease"	0.113576
"tooth decay"	0.113547
"panic attack"	0.113197
gastroenteritis	0.111915
"cold spell"	0.110974
migraine	0.110713
"dog bite"	0.109978
"back pain"	0.109939
side-effects	0.10919
nosebleed	0.108709
allergy	0.107227
coughing	0.106935
cirrhosis	0.106821
diabetes	0.106649
whiplash	0.104456
angina	0.102183
sunburn	0.101825
ulcer	0.10133
miscarriage	0.100814
"congestive heart failure"	0.0998296
"emotional distress"	0.099315
abnormality	0.0988066
arrhythmia	0.0987684
diarrhoea	0.0987188
constipation	0.0979463
nearsightedness	0.0978734
dehydration	0.0978614
frostbite	0.0976084
"lead poisoning"	0.0975572
palpitation	0.09701
poisoning	0.0958561
heartburn	0.095026
"cash crunch"	0.0944834
Psychosis	0.0944577
C-section	0.0940291
leukemia	0.0930097
anemia	0.0929321
"high blood pressure"	0.0926416
vomiting	0.0925673
"heat exhaustion"	0.0920772
"nervous breakdown"	0.0911003
malformation	0.0908673
ailment	0.0907097
"blood clot"	0.0902923
dislocation	0.0900609
"crop failure"	0.0896395
gangrene	0.0891514
acne	0.0881356
"morning sickness"	0.0877808
"stage fright"	0.0869076
dizziness	0.0868189
"identity crisis"	0.0866103
dementia	0.0865535
hemorrhage	0.0864602
"brain drain"	0.086091
convulsion	0.0859858
pneumonia	0.0848894
shortsightedness	0.0846637
deafness	0.0846445
"mental illness"	0.084606
"side effect"	0.0842251
fever	0.0840054
arthritis	0.083516
"market correction"	0.0831008
headache	0.0828378
overdose	0.0822913
"health problem"	0.0822518
"hot flash"	0.0819892
retardation	0.0816885
"heart condition"	0.0814257
"inferiority complex"	0.0813266
rollovers	0.0813094
abscess	0.0812741
Obesity	0.0806894
"power failure"	0.0806163
fatigue	0.0801882
sickness	0.0798957
influenza	0.079835
inflammation	0.0794673
complication	0.0794456
"lung cancer"	0.0793125
Meningitis	0.0789697
ache	0.078593
shortness	0.0780825
"Parkinson's disease"	0.0772673
starvation	0.0770019
schizophrenia	0.076514
syndrome	0.0762278
myopia	0.0761481
"multiple sclerosis"	0.0758313
cataract	0.0754225
"skin cancer"	0.0752965
deformity	0.0750168
cramp	0.0749229
infestation	0.0745566
downturns	0.0745264
disorientation	0.0743853
malfunction	0.0740834
"cold wave"	0.0740161
famine	0.0739802
overcapacity	0.0731841
abrasion	0.0730947
SIDS	0.0727129
deprivation	0.0722544
inhalation	0.071772
suffocation	0.0710133
delirium	0.0706611
"sore throat"	0.0705203
outage	0.0704796
"contagious disease"	0.0703624
aneurysm	0.070347
homelessness	0.0702988
"ill health"	0.0699982
menstruation	0.0699202
outages	0.0695021
Osteoporosis	0.0694712
"dengue fever"	0.0694241
rash	0.0693643
recidivism	0.0693611
hyperinflation	0.069211
flu	0.0691333
flare-up	0.06889
impotence	0.068871
"financial loss"	0.0685402
incontinence	0.068333
"Lyme disease"	0.0682812
overwork	0.0681464
osteoarthritis	0.0678144
toxicity	0.0675993
"infectious disease"	0.0671517
"traffic jam"	0.0671462
"cerebral palsy"	0.0670542
deformation	0.0667939
cough	0.0667118
calamity	0.0664812
numbness	0.066373
trauma	0.066085
sell-offs	0.0658776
revers	0.0657974
"colon cancer"	0.0656641
Exhaustion	0.0655429
"alcohol abuse"	0.0647562
discomfort	0.064629
congestion	0.0644452
"paid vacation"	0.0643469
impoverishment	0.0642854
spillage	0.0640555
Burnout	0.063953
Alcoholism	0.0639449
malaria	0.0638285
hangover	0.0638152
"skin disease"	0.0637468
malady	0.0637261
jaundice	0.0636538
"temperature change"	0.0636013
impairment	0.0635954
heatwave	0.0635619
"electric shock"	0.0631031
melanoma	0.062203
polarization	0.0621879
"sexually transmitted disease"	0.0620998
"brain tumor"	0.0616287
sandstorm	0.0616175
"neurological disorder"	0.0613932
scarcity	0.0613747
"writer's block"	0.0611898
insufficiency	0.0610058
pandemic	0.0608024
breakage	0.0605464
desertion	0.0603238
irritation	0.0601075
paralysis	0.0598323
blindness	0.0598207
Rabies	0.0598073
))
("Aston Villa" (desc 11726.7) (sims
"Newcastle United"	0.296836
Everton	0.280799
"Manchester United"	0.271673
"Leeds United"	0.26711
"Nottingham Forest"	0.255748
"Leicester City"	0.253397
"West Ham United"	0.236697
Liverpool	0.235019
Middlesbrough	0.232926
"Coventry City"	0.227645
"Tottenham Hotspur"	0.223411
"Derby County"	0.220902
Leeds	0.20866
Newcastle	0.199474
Sunderland	0.193065
Tottenham	0.188561
Chelsea	0.187021
"Bayern Munich"	0.180416
"West Ham"	0.178791
Southampton	0.177603
"AC Milan"	0.170742
"Blackburn Rovers"	0.170461
"Real Madrid"	0.163632
"Olympique Marseille"	0.161032
Watford	0.155805
Juventus	0.151622
"Inter Milan"	0.151206
Arsenal	0.150016
Sheffield	0.145922
Charlton	0.144815
Blackburn	0.141555
"Bradford City"	0.140442
Galatasaray	0.139681
Fiorentina	0.138977
Parma	0.122659
"Crystal Palace"	0.121529
Coventry	0.120249
Leicester	0.119029
"Atletico Madrid"	0.114867
Valencia	0.114711
"Glasgow Rangers"	0.113617
Barcelona	0.112812
Ajax	0.112087
Barnsley	0.110123
"PSV Eindhoven"	0.109812
"Partizan Belgrade"	0.109395
Feyenoord	0.108625
Besiktas	0.10841
"Dynamo Kiev"	0.1083
"Ajax Amsterdam"	0.106762
"Dalian Wanda"	0.10561
"Borussia Dortmund"	0.105153
Fenerbahce	0.103545
Auxerre	0.103068
Panathinaikos	0.102745
"Boca Juniors"	0.102547
Fulham	0.100494
Ipswich	0.100376
Benfica	0.0989051
"Spartak Moscow"	0.0963795
"VfB Stuttgart"	0.096141
Anderlecht	0.0955314
Sampdoria	0.0950623
"Schalke @@"	0.0928378
Brondby	0.0897913
"Velez Sarsfield"	0.0888434
"Croatia Zagreb"	0.088758
"Arnaud Di Pasquale"	0.0885533
"Albert Portas"	0.0880811
"Real Sociedad"	0.0880749
Wimbledon	0.0879329
Palmeiras	0.087216
Mallorca	0.0871364
Bastia	0.0868709
"Celta Vigo"	0.0862974
"Hernan Gumy"	0.0859557
Gremio	0.0859381
Bayern	0.0855677
"Slavia Prague"	0.0841876
"Magui Serna"	0.0839509
Porto	0.0835873
Nacional	0.083363
Udinese	0.0829126
Olympiakos	0.0826189
"Athletic Bilbao"	0.0825106
"Bayer Leverkusen"	0.081652
Inter	0.081465
"Colo Colo"	0.0814093
Lazio	0.0812519
Heerenveen	0.0805129
Villa	0.0803455
"Shanghai Shenhua"	0.0803182
Celtic	0.0802449
England	0.0794411
corinthian	0.0793876
"D.C. United"	0.0787978
"Real Betis"	0.0787725
"Martina Hingis"	0.0786126
Sevilla	0.0785297
Flamengo	0.0784959
Valladolid	0.0784201
"Kinder Bologna"	0.0781798
"Adrian Voinea"	0.078133
"River Plate"	0.0775283
Monaco	0.0774498
"Philadelphia Flyers"	0.0772834
"Hicham Arazi"	0.0772252
"Sparta Prague"	0.0771956
Perugia	0.0770591
"Patty Schnyder"	0.0768747
Rosenborg	0.0756882
"Werder Bremen"	0.0756542
Nottingham	0.0755482
Agassi	0.0754399
"Premier League"	0.0750388
"Greg Rusedski"	0.0749371
Paraguay	0.0748819
"Miami Fusion"	0.0748719
"Tommy Haas"	0.0748498
Necaxa	0.0748178
"Hertha Berlin"	0.0747299
Venezia	0.0746942
Scotland	0.0746805
"Yevgeny Kafelnikov"	0.0741256
Shenhua	0.0740444
"Galo Blanco"	0.0739887
"Magdalena Maleeva"	0.0738365
Cruzeiro	0.0736976
Lecce	0.0734898
"Guangzhou Apollo"	0.0733859
"Andre Agassi"	0.0732811
"Amanda Coetzer"	0.0732517
Internazionale	0.0731025
"Joannette Kruger"	0.0730981
"Sarah Pitkowski"	0.0729233
Piacenza	0.0728398
"Dallas Stars"	0.0727847
"Cedric Pioline"	0.0727404
"Qingdao Hainiu"	0.072735
Manchester	0.0727035
"AEK Athens"	0.072411
Kaiserslautern	0.0723161
"Steffi Graf"	0.0722004
"Andrei Pavel"	0.0720982
Atalanta	0.0720793
"Borussia Moenchengladbach"	0.0719716
"Sargis Sargsian"	0.0717738
"Gianluca Pozzi"	0.0717694
"Lindsay Davenport"	0.0714909
"Sebastien Grosjean"	0.0714127
"Paris St Germain"	0.0713445
"Portland Trail Blazers"	0.0713317
"Richard Fromberg"	0.0713058
"Catalina Cristea"	0.0709847
"Todd Martin"	0.070955
"English Premier League"	0.0709222
"Los Angeles Lakers"	0.0708263
"Sergi Bruguera"	0.0705727
Sampras	0.0704862
Gama	0.070484
Metz	0.0703221
Torino	0.0701986
Denmark	0.0701663
Obilic	0.0700668
"Asa Carlsson"	0.069978
"New York Liberty"	0.0699443
Penarol	0.0698587
"Nathalie Dechy"	0.0697601
Independiente	0.0697298
"Colorado Rockies"	0.0695643
"Rainer Schuttler"	0.0695437
Davenport	0.0695091
"Minnesota Timberwolves"	0.0694861
"Arnaud Clement"	0.0694243
"Buffalo Sabres"	0.0692673
Schalke	0.0691909
"Nicole Pratt"	0.0690526
"Franco Squillari"	0.0689359
Tunisia	0.0688854
Bari	0.0688214
"Conchita Martinez"	0.0687643
"Guangdong Hongyuan"	0.0687294
"Dallas Mavericks"	0.0686289
"Chicago Blackhawks"	0.0685122
"Detroit Pistons"	0.0682716
"Milwaukee Brewers"	0.068092
"Nicolas Escude"	0.0680907
"Ottawa Senators"	0.068076
Zamalek	0.0680588
"Andrei Medvedev"	0.0679637
Siemerink	0.0678935
"Tatiana Panova"	0.067662
"Marat Safin"	0.0676559
"Karim Alami"	0.0675343
"Mississippi State"	0.0675032
Norway	0.0673862
"FC Porto"	0.067355
"Olympiakos Piraeus"	0.0673209
"Pete Sampras"	0.0672645
Atletico	0.0671423
))
(astonishment (desc 5645.89) (sims
amazement	0.21642
dismay	0.211508
disbelief	0.207503
bewilderment	0.183411
puzzlement	0.175705
indignation	0.134538
disgust	0.132774
exasperation	0.127779
sadness	0.12254
admiration	0.117754
horror	0.117505
incredulity	0.115051
wonderment	0.112746
awe	0.10965
consternation	0.106613
displeasure	0.103877
outrage	0.103735
delight	0.103475
disdain	0.102941
helplessness	0.102012
disappointment	0.101373
regret	0.0970133
amusement	0.0964745
weariness	0.0943458
sorrow	0.093712
alarm	0.093023
irritation	0.0919789
elation	0.0919589
revulsion	0.0909036
glee	0.0903638
pity	0.0899419
satisfaction	0.0898415
apprehension	0.0894365
chagrin	0.0892484
remorse	0.0886697
bitterness	0.0845138
sympathy	0.0844235
perplexity	0.0837349
trepidation	0.0834788
anguish	0.0829897
frustration	0.0826238
despair	0.0824813
powerlessness	0.0820837
rapture	0.0801773
ambivalence	0.0796313
umbrage	0.0793265
envy	0.0791091
indifference	0.0759982
contempt	0.0754951
dissatisfaction	0.074779
hopelessness	0.0745284
joy	0.0744785
grief	0.074231
jubilation	0.0737933
misgiving	0.0734088
annoyance	0.073365
exhilaration	0.0732479
disillusionment	0.0729505
pandemonium	0.0721934
uneasiness	0.0721216
gratitude	0.0716043
Distress	0.0710574
skepticism	0.0706126
distaste	0.0698665
disapproval	0.0697232
Exhaustion	0.0694406
fatalism	0.0689473
confusion	0.0679076
contrition	0.0677967
bemusement	0.0664594
scepticism	0.0663244
excitement	0.0662182
happiness	0.0657052
nervousness	0.0654637
wistfulness	0.0654202
unease	0.0653954
resentment	0.0652084
desolation	0.0643681
pleasure	0.0641428
desperation	0.0640697
pique	0.0632905
agony	0.0628293
anticlimax	0.0627512
curiosity	0.0626945
discouragement	0.0626811
anxiety	0.0625599
distrust	0.0622951
disquiet	0.0619882
dread	0.0619634
giddiness	0.0619269
euphoria	0.0619215
fury	0.061562
humility	0.0614005
derision	0.060684
affection	0.060207
scorn	0.0596905
wariness	0.0589571
jealousy	0.0585998
unreality	0.0583033
panic	0.0579233
condemnation	0.0577132
solemnity	0.0569867
contentment	0.05691
"expression of regret"	0.0559835
regrets	0.0552092
absurdity	0.0547139
reluctance	0.0545515
boredom	0.0538729
loathing	0.0531834
guilt	0.0529911
self-satisfaction	0.0525974
loneliness	0.0524169
stillness	0.052287
defensiveness	0.0522856
ignorance	0.052022
emptiness	0.051925
nostalgia	0.051817
foreboding	0.0512644
kindness	0.051153
YAWN	0.0509209
foolishness	0.0509015
shame	0.0507008
impatience	0.0506223
self-confidence	0.0503023
Innocence	0.0502357
pessimism	0.050193
empathy	0.0501523
inevitability	0.050126
cynicism	0.0499826
laughter	0.0497888
"sense of shame"	0.0496174
naturalness	0.0492926
ordinariness	0.0491566
destitution	0.0491277
discomfort	0.0490999
melancholy	0.0489603
condescension	0.0487707
fright	0.0486946
mirth	0.0486871
alienation	0.0485393
repulsion	0.0485171
embarrassment	0.0485034
futility	0.0484807
spontaneity	0.0483048
longing	0.0482906
ire	0.0480774
angst	0.0479603
uniqueness	0.0476097
levity	0.0470548
gratification	0.046959
fascination	0.0467603
reassurance	0.0466656
condolence	0.0466567
certainty	0.0466064
"civic duty"	0.0465785
malice	0.0465113
vindication	0.0462588
chutzpah	0.0462515
Bedlam	0.0462446
craziness	0.0459389
aversion	0.045898
nonchalance	0.0458897
devotion	0.0455856
betrayal	0.0455221
sincerity	0.0454576
petulance	0.0453877
ignominy	0.0453024
hilarity	0.0450095
finality	0.0449843
compassion	0.0447398
candor	0.0446384
hatred	0.0445839
individuality	0.0445653
"strong belief"	0.0445165
defiance	0.0444938
hesitation	0.0444748
mistrust	0.0442564
unhappiness	0.0441708
rancor	0.0440781
invincibility	0.0440538
dislocation	0.0438352
permanence	0.0436413
arrogance	0.0436374
certitude	0.043433
polarization	0.0434136
Jewishness	0.0434118
equanimity	0.0433082
mockery	0.0432263
fervor	0.0431437
wholeness	0.0431282
normality	0.0430959
self-loathing	0.043062
stupidity	0.0429512
solicitude	0.0429076
serenity	0.0428757
impotence	0.0428061
modesty	0.0426657
heartbreak	0.0426371
Openness	0.0426065
insecurity	0.0425995
))
(Astoria (desc 2751.97) (sims
"Long Island City"	0.226173
"Forest Hills"	0.184147
Flushing	0.172609
"Borough Park"	0.156333
Ridgewood	0.135458
Riverdale	0.134077
"Park Slope"	0.130166
Hollis	0.126468
"Great Neck"	0.121343
Hillsboro	0.120283
"New Rochelle"	0.119558
Bensonhurst	0.114685
"East Harlem"	0.11095
Williamsburg	0.1104
"Rockland County"	0.109461
"East Los Angeles"	0.108673
"East New York"	0.108329
Queens	0.106597
Brooklyn	0.106132
"South Bronx"	0.104931
"Hyde Park"	0.10462
"Crown Heights"	0.103516
Bedford-Stuyvesant	0.103255
"Little Italy"	0.102918
"Washington Heights"	0.102905
"Hell's Kitchen"	0.101771
"Highland Park"	0.0987092
Yonkers	0.0978189
"Saratoga Springs"	0.097612
Woodside	0.0936561
MINEOLA	0.0921006
Tarzana	0.0909939
"Red Hook"	0.0908994
Irvington	0.0895755
"The Bronx"	0.0878756
Peekskill	0.0876894
Middletown	0.0872189
Montclair	0.0861117
"Brighton Beach"	0.0856522
Bronx	0.0855997
Chatham	0.0855662
Harlem	0.0853596
"Greenwich Village"	0.0852031
Charlestown	0.0851272
"East St. Louis"	0.0850123
"Staten Island"	0.0846646
"Garden City"	0.0839065
Brownsville	0.0832949
"North Beach"	0.0827256
Brentwood	0.0817913
Medford	0.0815267
"North Hollywood"	0.0809864
Kensington	0.0807232
Elmira	0.0801239
"Van Nuys"	0.0800969
Tarrytown	0.0793748
Salem	0.0793323
"West Orange"	0.0785992
"College Park"	0.0782919
Roxbury	0.0778613
Westport	0.0768527
Dorchester	0.076387
Wallingford	0.0758827
Scarsdale	0.0756582
BRIGHTON	0.0749834
Chinatown	0.0748195
"Westchester County"	0.0746673
"Woodland Hills"	0.0745379
"Studio City"	0.074023
Lawrenceville	0.0739352
Schenectady	0.0734544
Renton	0.0733321
Westfield	0.0712274
Spokane	0.0702551
Bridgehampton	0.0700496
Springfield	0.0700166
"Bay Ridge"	0.0699361
Jamestown	0.0692595
"White Plains"	0.0691634
riverside	0.0691568
Watertown	0.0691373
"Brooklyn Heights"	0.0686119
LAKEWOOD	0.0682423
"Dutchess County"	0.0678026
"St. Albans"	0.0677309
"Walnut Creek"	0.0676433
Chatsworth	0.0676383
Hoboken	0.0675824
"Delray Beach"	0.0674477
borough	0.0670118
Braintree	0.066822
Pomona	0.0668116
Poughkeepsie	0.0666144
Utica	0.0665635
Falmouth	0.0661824
Glendale	0.0661254
"Paradise Valley"	0.0661048
Eugene	0.0659532
Flatbush	0.0657215
"Bergen County"	0.0654108
Skaneateles	0.0653993
oceanside	0.0647032
"South End"	0.0646989
Buckhead	0.0644814
Morristown	0.0643748
"East Village"	0.0639478
Quincy	0.0636891
"San Fernando Valley"	0.0635714
Youngstown	0.0633571
Framingham	0.0629726
Tribeca	0.062969
"Flushing Meadows"	0.0628235
Corona	0.0627922
Paterson	0.0620507
Chappaqua	0.0617479
Soho	0.061667
Alameda	0.0613364
"Hollywood Hills"	0.0611892
Montauk	0.0610689
"Crystal City"	0.0609088
Plattsburgh	0.060428
Freeport	0.0602908
Tacoma	0.0600761
"Palm Beach"	0.0600657
"Happy Valley"	0.0599852
"East Hampton"	0.0598743
Alpharetta	0.0598569
"South Boston"	0.0596413
canton	0.0596315
"Newport Beach"	0.0596133
Encino	0.0593255
Dundee	0.0591307
Troy	0.0585384
"Culver City"	0.0583632
Westchester	0.0581927
Lynchburg	0.0580489
Rockland	0.0577985
Huntington	0.0575908
Lakeland	0.0572719
"Baton Rouge"	0.0568965
Bakersfield	0.0568214
Marietta	0.0567789
Tuscaloosa	0.0565994
Englewood	0.0563755
"Sherman Oaks"	0.0563511
"Huntington Beach"	0.0562834
"San Felipe"	0.0562708
Plano	0.056269
Newton	0.0561735
"New Haven"	0.0560901
Cornelius	0.0560882
"East End"	0.0560196
"Battery Park City"	0.0558238
Compton	0.0556005
Waltham	0.0555775
Ashland	0.0552981
Monticello	0.0552421
"Jersey City"	0.0551109
Duluth	0.0547207
"American South"	0.0544765
"Nassau County"	0.0538463
Camden	0.0538243
ASHEVILLE	0.0537781
"Des Moines"	0.0537017
Matamoros	0.0536219
"Beverly Hills"	0.0535781
Hempstead	0.0534188
Chattanooga	0.0531852
"Coney Island"	0.0531141
Pasadena	0.0530088
"Long Beach"	0.0529061
Brookline	0.0524907
Norwood	0.0524712
"Stone Mountain"	0.0524308
Piedmont	0.0523738
flint	0.0523583
"New Territories"	0.0522583
Miami-Dade	0.0522165
"Northern California"	0.0521862
Bangor	0.0521795
Norwich	0.0521603
TARBORO	0.0518854
Americus	0.0516999
"Oklahoma City"	0.0514904
"Monroe County"	0.0514711
"Marin County"	0.051287
Metroplex	0.0512416
"East Orange"	0.0511409
Reseda	0.0511256
Kettering	0.0509909
Shreveport	0.0509623
Ithaca	0.0509526
Redding	0.0509345
Kingston	0.0506712
"Fort Lee"	0.0506043
Dunwoody	0.050585
"SIERRA BLANCA"	0.0505729
"Santa Monica"	0.0505076
Stamford	0.0502738
"Sioux Falls"	0.0502084
))
(Astra (desc 3784.75) (sims
ALZA	0.169996
Warner-Lambert	0.162917
"Glaxo Wellcome"	0.16183
"SmithKline Beecham"	0.157648
Roche	0.152232
Genentech	0.147521
Petrofina	0.143102
Novartis	0.142318
Pfizer	0.141865
Seagram	0.140837
SmithKline	0.140449
Amgen	0.140369
Hoechst	0.140256
Mannesmann	0.138423
McKesson	0.136519
Daimler	0.136382
Rhone-Poulenc	0.135953
Norwest	0.132752
YPF	0.131245
Starwood	0.130867
Ciena	0.130521
RJR	0.130034
TYCO	0.129707
Aegon	0.1293
"Bristol-Myers Squibb"	0.129114
AHP	0.12686
VoiceStream	0.126752
Merck	0.125984
"U.S. Trust"	0.123812
ascend	0.123742
XYLAN	0.122788
Monsanto	0.122611
"Thermo Electron"	0.120473
Viacom	0.119768
"Pharmacia &AMP; Upjohn"	0.119546
Vivendi	0.118548
Glaxo	0.117188
"U S West"	0.116649
Comsat	0.115984
TELLABS	0.115595
GPU	0.115521
NTL	0.114955
REVLON	0.11471
Qwest	0.114566
COLTEC	0.114382
Genzyme	0.11402
WPP	0.113932
Bestfoods	0.113387
Telefonica	0.113235
"Telecom Italia"	0.11309
"Learning Co."	0.113039
ENTREMED	0.112943
"Johnson &AMP; Johnson"	0.11278
"Pfizer Inc."	0.112332
"HBO &AMP; Co."	0.112058
Scania	0.111298
GTE	0.11129
Healtheon	0.110854
Sunbeam	0.110729
"J&AMP;J"	0.110301
Conseco	0.109835
"American Home Products"	0.109577
NatWest	0.109511
Unilever	0.109364
LTCB	0.109241
ING	0.108801
"Union Carbide"	0.10874
TCI	0.108583
ENTERGY	0.10802
"P&AMP;G"	0.107565
AstraZeneca	0.107334
AutoNation	0.107109
Daimler-Benz	0.107054
"Wells Fargo"	0.1068
CMGI	0.106795
Cendant	0.106575
Mediaone	0.106301
Airtouch	0.106272
"Computer Associates"	0.105873
"Pacific Century"	0.105747
"American Home"	0.105575
Terra	0.105553
Litton	0.105163
PLDT	0.104792
Renault	0.104445
Schering-Plough	0.10435
"Global Crossing"	0.103943
ARCO	0.103818
"Times Mirror"	0.103437
"News Corp."	0.103229
"Air Canada"	0.103176
VENATOR	0.103158
Exxon	0.102935
"BP Amoco"	0.102913
Raytheon	0.102863
Volvo	0.10264
Conoco	0.102377
UAL	0.102049
Biogen	0.101329
Honeywell	0.101192
MCI	0.101014
Nortel	0.100947
Nabisco	0.0999312
"Bay Networks"	0.0997995
Chrysler	0.0997543
BCE	0.0994409
EMC	0.0993652
Zeneca	0.0990992
Alcatel	0.0990126
"Time Warner"	0.09901
Bayer	0.0987551
GeoCities	0.0985817
AXA	0.0983416
PolyGram	0.0981766
"Deutsche Telekom"	0.0980045
BankAmerica	0.0976945
"Berkshire Hathaway"	0.0976618
"Aetna Inc."	0.0976186
Aetna	0.0975161
Texaco	0.0969154
Alltel	0.0968207
"Y&AMP;R"	0.096731
Amoco	0.0967186
Cerent	0.0962716
Livent	0.0959207
Penney	0.0958384
Dresdner	0.0957378
SFX	0.095685
UBS	0.0956767
E-LOAN	0.0955481
"Bankers Trust"	0.0947675
Hyundai	0.0947428
Bristol-Myers	0.0945516
Bertelsmann	0.0944759
Asarco	0.0943624
SBC	0.0942055
Eni	0.0939821
Marketspan	0.0939685
CUC	0.0937334
NORTHROP	0.0935424
GANNETT	0.0933489
Daewoo	0.0931856
"Abbott Laboratories"	0.0929247
Chiron	0.0928994
HBOC	0.0928166
Paribas	0.0926877
Sepracor	0.09267
Vodafone	0.092517
Webvan	0.092324
BP	0.0921921
VICKERS	0.0915207
Fiat	0.0914185
Aventis	0.0914117
"Reed Elsevier"	0.0913809
Corel	0.0913726
Emulex	0.0911058
WorldCom	0.0910079
Citicorp	0.0907912
Georgia-Pacific	0.0907058
"RJR Nabisco"	0.0906209
Loral	0.0905561
BankBoston	0.0905145
"Royal Bank"	0.0901435
Seagate	0.0900878
Nextel	0.0897537
Ameritech	0.0897022
"Bell Atlantic"	0.0896611
Sumitomo	0.0896301
Chevron	0.0889937
Fingerhut	0.0888734
"Nippon Credit"	0.0885897
Cablevision	0.0884861
SDL	0.0884202
"American Home Products Corp."	0.0883852
Enron	0.0883792
"Bankers Trust Corp."	0.0881763
SGI	0.0880741
"Warner-Lambert Co."	0.0880694
CDnow	0.0879145
Lycos	0.0879139
"Monsanto Co."	0.0877769
Totalfina	0.0876858
AMP	0.0874149
Humana	0.0872302
Citigroup	0.0870081
Infoseek	0.0868088
"USA Networks"	0.0867876
"Union Pacific"	0.0866852
"MCI WorldCom"	0.0866295
Danka	0.0865911
Lilly	0.0865224
EarthLink	0.0865143
"Burlington Northern"	0.0865092
Sibneft	0.0864062
"US Airways"	0.0862234
"Societe Generale"	0.0861968
ExciteAtHome	0.0861866
Pearson	0.0857531
Gazprom	0.0855925
Avondale	0.0854007
))
(AstraZeneca (desc 1803.4) (sims
"Eli Lilly"	0.248681
"Glaxo Wellcome"	0.212886
Novartis	0.190398
Hoechst	0.183175
Roche	0.181024
SmithKline	0.17572
Pfizer	0.17543
Aventis	0.173029
"Bristol-Myers Squibb"	0.17291
"SmithKline Beecham"	0.16827
Emulex	0.167174
Warner-Lambert	0.157228
Diageo	0.151989
Monsanto	0.150417
Merck	0.146872
Genentech	0.145705
"Johnson &AMP; Johnson"	0.134788
ALZA	0.13258
Bayer	0.130476
"Federated Department Stores"	0.128938
Amgen	0.128731
Biogen	0.128547
Schlumberger	0.128122
Dupont	0.128113
"Pfizer Inc."	0.127918
"Bausch &AMP; Lomb"	0.125559
Genzyme	0.123062
Rhone-Poulenc	0.122982
Bertelsmann	0.121948
"American Home Products"	0.121308
"American Home"	0.119731
Tenneco	0.119374
AutoNation	0.117931
RJR	0.117583
Pepsico	0.117552
Halliburton	0.116297
Wyeth-Ayerst	0.115441
"Silicon Graphics"	0.114173
Novell	0.114024
"Gap Inc."	0.113994
Enron	0.113946
"Northern Telecom"	0.113788
"Network Associates"	0.113181
SAirGroup	0.112931
"Oracle Corp."	0.112886
AMR	0.112349
EMC	0.112133
"CMGI Inc."	0.111821
"J&AMP;J"	0.111652
CMGI	0.111316
Alcan	0.110672
Unilever	0.110163
Nortel	0.109847
"AMR Corp."	0.109387
Zeneca	0.109071
Ericsson	0.109063
McKesson	0.108761
"Sara Lee"	0.108368
BASF	0.10834
ICI	0.107917
Astra	0.107334
Bestfoods	0.107248
UAL	0.107142
"Learning Co."	0.106231
"Hongkong Telecom"	0.106187
Schering-Plough	0.106009
"Halliburton Co."	0.105492
"National Grid"	0.105265
"Merck &AMP; Co."	0.104987
"Computer Associates"	0.104202
Honeywell	0.104005
Pharmacia	0.103987
"Thermo Electron"	0.103987
"Canal Plus"	0.103884
DaimlerChrysler	0.103652
"Monsanto Co."	0.103409
"Pacific Century Cyberworks"	0.102794
"Qualcomm Inc."	0.102464
DoubleClick	0.102194
Kellogg	0.101989
YankeeNets	0.101971
"Seagram Co."	0.101653
Texaco	0.100833
"Reed Elsevier"	0.100831
ExciteAtHome	0.100554
"Union Carbide"	0.100256
"Berkshire Hathaway"	0.100166
"Softbank Corp."	0.100151
"Pharmacia &AMP; Upjohn"	0.09972
Vivendi	0.0995015
"UAL Corp."	0.0994449
Exxon	0.0993671
"American International Group"	0.0991616
Chiron	0.0989958
ABB	0.0989315
China.com	0.0986975
Sunbeam	0.0985598
PEOPLESOFT	0.098469
Aetna	0.0980864
"JDS Uniphase"	0.0980543
ENTREMED	0.0979807
ARCO	0.0978978
"Waste Management"	0.0978732
Glaxo	0.0976956
"Viacom Inc."	0.0976671
Autodesk	0.0975211
"Global Crossing"	0.0972826
Livent	0.0971709
Federated	0.0971362
Warnaco	0.0970168
"Warner-Lambert Co."	0.0969662
Seagate	0.0967893
Viacom	0.096581
Schering	0.0961437
"Times Mirror"	0.0960961
Mobil	0.0960591
"BP Amoco"	0.0960226
"MindSpring Enterprises"	0.0959654
EarthLink	0.09559
"Livent Inc."	0.0952072
Eni	0.0950802
VICKERS	0.0948826
"RJR Nabisco"	0.0946454
Healtheon	0.0943023
Hasbro	0.0942972
UBS	0.0942731
"Royal Dutch/Shell"	0.0940937
"Abbott Laboratories"	0.0940337
"News Corp."	0.0938136
Raytheon	0.0933109
"Dow Chemical"	0.0932231
Qualcomm	0.0930739
"Knight Ridder"	0.0923237
WPP	0.0920579
Alcatel	0.0919672
"Niagara Mohawk"	0.0919369
WorldCom	0.0916137
Seagram	0.0915692
Telstra	0.091346
E-LOAN	0.0912075
Cendant	0.0911595
Citigroup	0.0908901
"Siemens AG"	0.0906966
Mattel	0.0904091
Cabletron	0.0899369
"Vanguard Group"	0.0898622
Compaq	0.0898539
"Adobe Systems"	0.0897776
"Times Co."	0.089611
NORTHROP	0.0891529
Nokia	0.0888425
"U S West"	0.0887791
Alcoa	0.0883509
"R.J Reynolds"	0.0881219
REVLON	0.0875393
"Fannie Mae"	0.0870802
"Levi Strauss"	0.087033
Mannesmann	0.0867804
Mabetex	0.0866557
Telefonica	0.0866221
"MCI WorldCom"	0.0866215
"Symantec Corp."	0.0865862
"Mattel Inc."	0.0863972
"Cable &AMP; Wireless"	0.0863964
Thyssen	0.0863493
"Media Partners"	0.0863238
"Dayton Hudson"	0.0863167
BCE	0.0863163
Sibneft	0.0860849
"Dow Jones &AMP; Co."	0.0859101
"Daimlerchrysler AG"	0.0857587
BHP	0.0854648
CNET	0.0852054
"Telecom Italia"	0.0851824
GANNETT	0.0851623
"Mannesmann AG"	0.0851209
RealNetworks	0.0849379
"Ford Motor Company"	0.0848466
"Real Networks"	0.084684
Chevron	0.0845407
"P&AMP;G"	0.0844503
"Sprint Corp."	0.0842489
Hewlett-Packard	0.0841906
"Enron Corp."	0.0838616
DrKoop.com	0.0837399
"Phelps Dodge"	0.0837301
Unisys	0.0836138
Amoco	0.0834118
Healtheon/WebMD	0.083378
NatWest	0.0830914
"Exxon Corp."	0.0830873
KPN	0.0830434
NTL	0.0829586
"Electronic Arts"	0.0828361
"Media Metrix"	0.0824931
Intuit	0.0824544
Corel	0.0823941
Goodyear	0.0822928
Humana	0.0822314
Reebok	0.0821991
))
(Astro (desc 3207.73) (sims
Laker	0.0829074
"big leaguer"	0.0791513
"black person"	0.0689683
"white person"	0.0680909
Knick	0.0680002
Oriole	0.0679525
"important person"	0.0643754
"major-league team"	0.0627227
baserunner	0.056212
"major leaguer"	0.0560929
G@@	0.0555618
Asian-American	0.0541067
"first pitcher"	0.0531525
handicapper	0.0528736
"NBA All-Star"	0.0509655
"Wireless HKT"	0.0508937
"eye doctor"	0.0499818
interloper	0.0499762
infantryman	0.0485533
"Ricky Gutierrez"	0.048394
oilman	0.0483117
"cabinet member"	0.0477635
Beatle	0.0477047
met	0.0474611
stanza	0.0473666
paraplegic	0.0472116
"foreign service officer"	0.0469432
pro-choice	0.0468229
"hockey coach"	0.0464599
goal-scorer	0.0463157
PAX	0.0461715
rotisserie	0.0459024
"African American"	0.0456376
claimer	0.045563
"altar boy"	0.0450997
"Bob Marley"	0.0449668
"Orthodox Jew"	0.0448463
"triple play"	0.0447209
Enis	0.0446837
"radio announcer"	0.044639
Eduardo	0.0445549
autocrat	0.0445307
"senior executive"	0.0445062
"base runner"	0.0444999
techie	0.0444771
Chinese-American	0.0443294
S@@	0.0442975
"good person"	0.0441478
Conde	0.0441037
Wynonna	0.0439988
inductee	0.0439596
stuntman	0.0437222
avocation	0.0437055
"TV star"	0.043704
dilettante	0.0436212
"police lieutenant"	0.0435497
"opera star"	0.0431617
"professional golfer"	0.0426278
"volleyball player"	0.0424843
"top dog"	0.0424616
breadwinner	0.0422979
Prius	0.042233
"Jeff Bagwell"	0.0422097
"Adobe Systems"	0.0421246
exec	0.0419559
hermit	0.0419417
goaltender	0.0419321
animator	0.0418404
enabler	0.0417122
vaulter	0.0417009
triathlete	0.0416871
"Carlos Hermosillo"	0.0416713
"Mike Hampton"	0.0416666
Cink	0.0414962
scoutmaster	0.0414821
"Asian American"	0.0412923
"school superintendent"	0.0412513
Atlantan	0.0411494
"David Cassidy"	0.0411102
"paying attention"	0.0410512
batboy	0.0409396
"Black Panther"	0.0409367
"service break"	0.0408278
"surgeon general"	0.04081
"New Englander"	0.0407464
punter	0.0406553
triple-double	0.0402619
newsman	0.040241
"nuclear-powered submarine"	0.0401806
RCN	0.040053
))
(Astrodome (desc 12982) (sims
"Dodger Stadium"	0.251888
"Shea Stadium"	0.217392
"Turner Field"	0.208028
"Yankee Stadium"	0.199452
Kingdome	0.181013
"Jacobs Field"	0.179674
"Wrigley Field"	0.173034
"Fenway Park"	0.169668
"Enron Field"	0.169096
"Veterans Stadium"	0.166732
"Qualcomm Stadium"	0.163765
Metrodome	0.162826
"Busch Stadium"	0.160112
"Edison Field"	0.158135
"County Stadium"	0.157731
"Coors Field"	0.157663
"Safeco Field"	0.156832
Shea	0.155415
Ballpark	0.152243
"Olympic Stadium"	0.152235
"Cinergy Field"	0.14827
"Giants Stadium"	0.14424
Fenway	0.143711
"Comiskey Park"	0.143174
"Reunion Arena"	0.14164
"Rivers Stadium"	0.140215
Alamodome	0.139047
SkyDome	0.136879
"Foxboro Stadium"	0.131362
"Compaq Center"	0.130546
"America West Arena"	0.128624
"Georgia Dome"	0.127679
"Pauley Pavilion"	0.126161
"United Center"	0.12592
"Madison Square Garden"	0.123996
Superdome	0.123681
"Tiger Stadium"	0.122531
KeyArena	0.12148
"Delta Center"	0.118342
"Texas Stadium"	0.117966
"Rose Bowl"	0.117544
"Continental Arena"	0.116128
"RCA Dome"	0.111351
"Pro Player Stadium"	0.110526
"Candlestick Park"	0.110272
"Pacific Bell Park"	0.109497
stadium	0.109277
"Polo Grounds"	0.107796
"Oakland Coliseum"	0.10771
FleetCenter	0.107679
"Tropicana Field"	0.106366
"Camden Yards"	0.105743
Wrigley	0.105633
"Cotton Bowl"	0.10499
"Devil Stadium"	0.103923
Coliseum	0.103121
"Staples Center"	0.103076
"Ebbets Field"	0.101299
"RFK Stadium"	0.100121
"Conseco Fieldhouse"	0.0980062
"Comerica Park"	0.0979969
"sports arena"	0.0971528
"Tokyo Dome"	0.0962929
"Soldier Field"	0.095615
"Memorial Stadium"	0.0954401
"Nassau Coliseum"	0.094603
"MCI Center"	0.0941184
Meadowlands	0.0936732
"Market Square Arena"	0.0908112
"Orange Bowl"	0.0904993
"Lambeau Field"	0.0881719
"Mile High Stadium"	0.0877935
Safeco	0.0876498
"Boston Garden"	0.0864939
"Trans World Dome"	0.0859703
"Arrowhead Stadium"	0.0839073
"Continental Airlines Arena"	0.0824794
"Joe Louis Arena"	0.0823196
arena	0.0795803
Milwaukee	0.0778589
"Kyle Field"	0.0765046
"San Diego"	0.075854
"Philips Arena"	0.0755439
"College World Series"	0.0755355
"Pac Bell Park"	0.0745301
"National Stadium"	0.0736823
"St. Louis"	0.0730289
"Stade de France"	0.0726494
Cincinnati	0.0724319
"Civic Arena"	0.0719328
"Miami Arena"	0.0714362
Pittsburgh	0.0710043
gym	0.0696665
Cleveland	0.0694572
Montreal	0.0693167
Foxboro	0.0689095
Monterrey	0.0686753
"Kiel Center"	0.0686131
Dome	0.067532
Oakland	0.0674692
"Old Trafford"	0.0673488
"NBA Finals"	0.0672955
Indianapolis	0.0671467
"Kauffman Stadium"	0.0662619
Detroit	0.0646316
"Maple Leaf Gardens"	0.0642505
"Churchill Downs"	0.0636365
"domed stadium"	0.0632292
NLCS	0.0629022
Houston	0.0627121
"Roland Garros"	0.0626551
"Marine Midland Arena"	0.0621241
Philadelphia	0.061664
"Sanford Stadium"	0.061585
Wembley	0.0612372
Baltimore	0.0610191
"big league"	0.0608015
Denver	0.0605692
"rose garden"	0.060485
Edmonton	0.0603166
"Pebble Beach"	0.0593599
"Kansas City"	0.0590771
"major league"	0.0586276
Foxborough	0.0585677
"Little League World Series"	0.058208
postseason	0.0580328
"football stadium"	0.0577215
Tucson	0.0570719
"Melbourne Park"	0.0569024
gymnasium	0.0569011
Phoenix	0.0567585
"Arthur Ashe Stadium"	0.0564065
"All-Star Game"	0.0563931
nightcap	0.0561134
ANAHEIM	0.055982
"Jack Kent Cooke Stadium"	0.0558314
"Fiesta Bowl"	0.0556015
Portland	0.0554748
"First Union Center"	0.0553172
"Tour Championship"	0.0550518
Toronto	0.0550484
Colorado	0.0548389
"Carnegie Hall"	0.0546634
auditorium	0.0546274
Nashville	0.054461
"World Series"	0.0544574
"Southwest Conference"	0.0542945
CWS	0.0540292
"New Hampshire International Speedway"	0.0535828
"National League East"	0.0534772
"Great Western Forum"	0.0534703
Buffalo	0.0534439
"Hyatt Regency"	0.0533834
"Belmont Park"	0.0531997
"Oregon State"	0.0529599
"Salt Lake City"	0.0529523
"San Antonio"	0.0525788
Orlando	0.0525717
"Times Square"	0.0523264
Tanglewood	0.0523222
"Joyce Theater"	0.0522095
Augusta	0.0520611
"National League"	0.0519396
"Tampa Bay"	0.0518442
"Augusta National"	0.051821
"extra inning"	0.051653
"New Orleans"	0.0515563
"National League Championship Series"	0.0514987
Indy	0.0514879
"sugar bowl"	0.0508574
L.A	0.0508447
"country club"	0.0506947
Saratoga	0.0505995
"civic center"	0.0502421
"The Bronx"	0.0502195
"National Tennis Center"	0.0501772
"Santa Anita"	0.050087
"NL Central"	0.0500844
"Daytona International Speedway"	0.050017
Vancouver	0.0499769
"Arizona State"	0.0498944
Havana	0.0497921
Greensboro	0.0497802
candlestick	0.0497407
Pawtucket	0.0496571
Wimbledon	0.0493987
Sacramento	0.0493225
"Stanley Cup Finals"	0.0493198
"Johnson Space Center"	0.0487571
"NCAA Tournament"	0.0487203
Clemson	0.0487136
"Stamford Bridge"	0.0486691
Daytona	0.0485131
"Stade Velodrome"	0.0485115
"Green Bay"	0.0483984
Dodgertown	0.048135
Marseille	0.0480985
Highbury	0.0477757
Birmingham	0.0476145
"Super Bowl XXXIII"	0.0475847
))
(astrologer (desc 1993.15) (sims
herbalist	0.117804
fortuneteller	0.113244
nutritionist	0.0984056
educationist	0.0886186
musicologist	0.0882571
linguist	0.0842535
philosopher	0.0828175
psychotherapist	0.0817733
botanist	0.0783513
"Lewis Yocum"	0.0762879
ornithologist	0.0758107
paleontologist	0.073745
"divorce lawyer"	0.072419
psychic	0.071083
Highness	0.0669777
cardiologist	0.0657217
pediatrician	0.0656127
"art historian"	0.0652814
dietitian	0.0650717
"Michael Murphy"	0.0641363
forecaster	0.0637065
astronomer	0.063242
"TV reporter"	0.0629639
mathematician	0.0626535
"interior designer"	0.0621952
therapist	0.061811
imposter	0.0615396
"family doctor"	0.0610683
"funeral director"	0.060763
appraiser	0.0605978
neurologist	0.0602879
"investment adviser"	0.0599403
ethicists	0.0588712
"fashion designer"	0.05852
Lipponen	0.0585076
"art teacher"	0.058096
geologist	0.0579701
manicurist	0.0577842
sociologist	0.0573399
"James Andrews"	0.0569079
clergyman	0.0567655
cabinetmaker	0.0561894
literati	0.0553914
orthopedist	0.0553571
astrology	0.0553084
"opera company"	0.0552292
backpacker	0.0548916
abbot	0.054434
oddsmakers	0.0537351
lexicographer	0.053272
stylist	0.0530866
newspaperman	0.0528239
"Kenyan Government"	0.0527311
exterminator	0.0524029
portraitist	0.0516917
"newspaper editor"	0.0511308
"computer scientist"	0.0509207
"Abby Joseph Cohen"	0.0505966
"David Irving"	0.0502622
"eye doctor"	0.0502095
urologist	0.0501272
nightspot	0.0500496
Ruehe	0.0499647
Coltrane	0.049935
restaurateur	0.0499044
archivist	0.049619
Ciampi	0.0496015
L'Equipe	0.0495706
statesman	0.0495433
essayist	0.0493827
laymen	0.0489996
violinist	0.0489732
cellmate	0.048959
VCs	0.0488239
bullfighter	0.0481929
Grisham	0.047888
Bild	0.0477863
calligrapher	0.0476631
lama	0.0476314
API	0.0475904
fave	0.0474344
homemaker	0.0472772
"last two digits"	0.0472577
Strauss-Kahn	0.0470912
internist	0.0469818
McHugh	0.04695
anthropologist	0.0469485
cinematographer	0.0464762
"social scientist"	0.0463691
handicappers	0.0463059
crematorium	0.0461406
"certified public accountant"	0.0460765
masseuse	0.0459964
"Black Panther"	0.0457928
"jazz band"	0.0457029
"real estate agent"	0.0455523
Solver	0.0454367
"character actor"	0.0454211
cager	0.0453473
proverb	0.0451787
optometrist	0.045161
cellist	0.0450032
sportswriter	0.0449891
agronomist	0.0449586
demographer	0.0449424
reviewer	0.044921
"soul mate"	0.0449113
"Wall Street analyst"	0.044788
graybeard	0.044707
pharmacologist	0.0446003
toxicologist	0.0445253
"Daily Mail"	0.0444934
librarian	0.0443704
translator	0.0442711
veterinarian	0.0441514
cartoonist	0.0439802
restorer	0.0439299
"music critic"	0.0438467
Broaddrick	0.0436494
decorator	0.0436334
flack	0.0435955
Beazley	0.0435702
"ball field"	0.043456
"oil slick"	0.0434393
"driving school"	0.0433134
midwife	0.0432667
raconteur	0.0432592
"art dealer"	0.0432079
handicapper	0.0428545
barrister	0.0425585
Ecuadorian	0.0425034
Britannia	0.0424762
Christy	0.0424044
skateboarder	0.0423944
psychoanalyst	0.042365
"Bengal tiger"	0.0423065
first-grader	0.0421127
stockbroker	0.0419673
"opera star"	0.0419229
sculptor	0.0419025
statesmen	0.0418729
Bronfman	0.0418455
"mental ability"	0.0417466
personage	0.041725
ballerina	0.0415871
sportswriters	0.0414114
"press agent"	0.0413054
theologian	0.041146
seminarian	0.0409622
"economic expert"	0.0408748
"pen pal"	0.0408621
linesman	0.0408082
"Sherlock Holmes"	0.0407321
recluse	0.0405989
oceanographer	0.0405785
"employment agency"	0.0405732
Gangelhoff	0.0404636
soothsayer	0.0404057
"exotic dancer"	0.0403914
"film maker"	0.040154
evangelist	0.0401036
odometer	0.0400817
mystic	0.0400166
))
(astrology (desc 2666.38) (sims
archeology	0.0753276
cosmology	0.0699814
op-ed	0.065517
astrophysics	0.0639646
witchcraft	0.0605476
meteorology	0.0596149
yoga	0.0588013
horoscope	0.0577634
Qigong	0.0573239
zodiac	0.0564484
Taoism	0.0554872
astrologer	0.0553084
geology	0.05494
UFO	0.0549286
genealogy	0.0547045
astronomy	0.0542419
archaeology	0.0536502
creationism	0.0535929
acupuncture	0.0535347
Netcenter	0.0514633
Wicca	0.0506567
XML	0.0500795
trivia	0.049711
extraterrestrial	0.0487886
"applied science"	0.0484466
"science fiction"	0.0481852
"odds and ends"	0.0477329
Mormonism	0.0469823
compounding	0.046669
Kiswahili	0.0466221
superstition	0.0464033
eugenics	0.046294
gardening	0.0460631
"weather map"	0.0452934
woodworking	0.0447267
"Tibetan Buddhism"	0.0446115
Hinduism	0.044212
Buddhism	0.0438765
dieting	0.0435184
"martial art"	0.0434805
"New York Observer"	0.043463
self-improvement	0.0421739
API	0.0421162
shui	0.0420373
MONEYBAG	0.0418385
"El Mundo"	0.0411383
Izvestia	0.0407186
Confucianism	0.040716
wholeness	0.0404926
Porno	0.0403294
mountaineering	0.040142
))
(astronaut (desc 40405.4) (sims
cosmonaut	0.141095
crew	0.141077
Atlantis	0.118935
spacecraft	0.117921
crewmates	0.114829
"crew member"	0.112195
shuttle	0.106922
pilot	0.0957177
"John Glenn"	0.0945261
diver	0.092585
sailor	0.0924115
airmen	0.086178
technician	0.0855614
endeavour	0.0850731
engineer	0.0824621
skydiver	0.0816651
scientist	0.0816537
climber	0.0810086
firefighters	0.080313
soldier	0.0800824
athlete	0.0799139
"military personnel"	0.0790255
Satellite	0.0782919
Apollo	0.0777614
passenger	0.0776163
"test pilot"	0.0769962
journalist	0.0755941
payload	0.0753655
Explorer	0.0745593
marine	0.0742729
crewmen	0.0735479
doctor	0.0729153
volunteer	0.0727526
rescuer	0.0725582
swimmer	0.0724121
officer	0.0714883
American	0.0709774
nurse	0.0704623
occupant	0.0702811
aviator	0.0698692
traveler	0.0697853
personnel	0.069694
Mission	0.0696695
NASA	0.0695901
dancer	0.0692374
commander	0.0691458
Glenn	0.0690283
skier	0.068393
instructor	0.0680938
spacewalks	0.0677436
"space station"	0.0675158
controller	0.0672611
module	0.0672151
rocket	0.0671653
musician	0.0667863
student	0.0667851
worker	0.0662702
co-pilot	0.0661661
schoolchildren	0.0652034
gymnast	0.0650959
mountaineer	0.0650811
servicemen	0.0649795
balloonist	0.0648863
medic	0.0648506
diplomat	0.0647262
golfer	0.0644543
seamen	0.0643126
racer	0.0640663
"military officer"	0.0640412
driver	0.0639406
artist	0.0638645
fighter	0.0635739
trainee	0.0627492
flight	0.0626553
adventurer	0.0624254
peacekeeper	0.0623763
detective	0.062332
Mir	0.062251
telescope	0.0621144
youngster	0.0620775
"flight attendant"	0.062044
"army officer"	0.061721
pilgrim	0.0617008
statesmen	0.061683
policemen	0.0613585
filmmakers	0.0612356
rider	0.060956
warship	0.060885
tourist	0.0608709
inmate	0.0606157
ship	0.0605594
cyclist	0.0605048
teacher	0.0605027
chef	0.0604379
scholar	0.0604145
surgeon	0.0603413
staffer	0.0603231
teen-ager	0.0602452
astronomer	0.0600749
aircraft	0.0599968
priest	0.0596744
citizen	0.0596457
"family member"	0.059585
"police officer"	0.0594964
photographer	0.0594171
paratrooper	0.0593341
investigator	0.0592472
Russian	0.059117
firemen	0.0590476
"FBI agent"	0.0589476
person	0.0589315
"Neil Armstrong"	0.0588485
entertainer	0.0588452
missionary	0.0584566
plane	0.0583321
employee	0.0582294
specialist	0.0580655
professional	0.0580611
Cuban	0.0580287
dignitary	0.0578989
Israeli	0.0578375
visitor	0.0578338
kid	0.0576357
patient	0.05754
contestant	0.0575026
businessmen	0.057501
"naval officer"	0.0574688
Filipino	0.0574674
boxer	0.0574379
physicist	0.0573414
"staff member"	0.0572336
Fishermen	0.0571658
cadet	0.0571421
skater	0.0569461
firefighter	0.0568832
contractor	0.0568321
Canadian	0.0568077
actor	0.056727
troop	0.0567252
guest	0.056701
parachutist	0.0565874
entrepreneur	0.0564384
commando	0.0563382
researcher	0.0563069
"young man"	0.0562515
hero	0.0562308
hiker	0.0562172
physician	0.056216
choreographer	0.0561158
inspector	0.0560534
helicopter	0.0560436
designer	0.0559816
miner	0.0559261
educator	0.0558414
hostage	0.0558147
captain	0.055744
resident	0.0557425
"basketball player"	0.0556613
vessel	0.0553818
vet	0.055325
performer	0.0552872
girl	0.0550785
senator	0.0550422
searcher	0.0550331
boy	0.0550287
banker	0.0549319
inductees	0.0548766
architect	0.0548679
participant	0.054848
submarine	0.0546384
victim	0.0546376
composer	0.0546105
paramedic	0.0545518
survivor	0.0544651
liftoff	0.0544112
"medical student"	0.0543473
spaceship	0.0541838
"hockey player"	0.0540675
politician	0.0540359
osprey	0.0538004
Olympian	0.0537992
POW	0.0537703
prisoner	0.0535994
expert	0.0535418
lawyer	0.0535389
"New Zealander"	0.0535067
villager	0.0534872
navy	0.0533554
"baseball player"	0.0532648
runner	0.0531877
actress	0.0530926
bomber	0.0529925
wrestler	0.0529759
Hunter	0.0529592
"major leaguer"	0.0529579
"Air Force"	0.0529421
Hijacker	0.0528154
observatory	0.0527866
British	0.0527125
lifter	0.0526684
))
(astronomer (desc 20366.5) (sims
physicist	0.187639
scientist	0.185052
researcher	0.172777
biologist	0.163519
astrophysicist	0.159494
archaeologist	0.153899
paleontologist	0.151039
geologist	0.148511
archeologist	0.144512
cosmologist	0.138942
mathematician	0.129083
historian	0.126937
anthropologist	0.125499
scholar	0.122539
sociologist	0.122271
botanist	0.11914
oceanographer	0.116695
seismologist	0.11546
expert	0.112635
chemist	0.111314
geneticist	0.111294
engineer	0.109401
linguist	0.105711
psychologist	0.101178
forecaster	0.100675
agronomist	0.0986339
economist	0.0982967
"legal expert"	0.0968088
professor	0.0952325
"computer scientist"	0.0950503
educator	0.0940598
investigator	0.0913562
zoologist	0.0903365
theorist	0.0900152
ecologist	0.0874604
meteorologist	0.0868897
biochemist	0.084788
Programmer	0.0847609
specialist	0.0844032
"market watcher"	0.0842474
geophysicist	0.0841338
theologian	0.0839774
observer	0.0838758
academician	0.0826777
academic	0.0820248
statistician	0.0819878
rescuer	0.0818543
technician	0.0810576
philosopher	0.0801336
telescope	0.0797964
"political scientist"	0.0796758
cardiologist	0.0791961
diver	0.0791701
Reader	0.0784011
neurologist	0.0781366
"social scientist"	0.0780545
psychiatrist	0.0778218
planner	0.0769222
physician	0.0766225
searcher	0.076363
entrepreneur	0.0759871
doctor	0.0758494
winemaker	0.0753931
filmmakers	0.075351
"Wall Street analyst"	0.0752272
ornithologist	0.0751437
entomologist	0.0742405
"business executive"	0.0738841
"art historian"	0.073244
surgeon	0.0730724
"electrical engineer"	0.0730539
journalist	0.072869
"medical specialist"	0.0727796
Explorer	0.0725653
"graduate student"	0.0723514
naturalist	0.0715598
nutritionist	0.0714265
climber	0.0711885
writer	0.0710677
diplomat	0.0708982
archivist	0.0703831
designer	0.0701516
banker	0.0700773
"economic expert"	0.0698028
environmentalist	0.0695609
photographer	0.0694401
architect	0.0693405
analyst	0.0690734
inventor	0.0689429
pathologist	0.0688805
pundit	0.0687512
epidemiologist	0.0686676
psychoanalyst	0.068558
demographer	0.0683567
"business leader"	0.0681951
"federal official"	0.0681021
colleague	0.0680274
"computer expert"	0.0679548
author	0.0678428
"government officials"	0.0678055
artist	0.0676747
"policy maker"	0.0676343
surfer	0.0676191
businessmen	0.0675065
Industrialist	0.0668287
watcher	0.0668174
listener	0.0667242
scout	0.0666061
clinician	0.0664485
businesspeople	0.0661778
regulator	0.0658971
veterinarian	0.0658958
jurist	0.0658682
birder	0.0658396
sculptor	0.0658143
stargazer	0.0656454
auditor	0.0655635
"computer programmer"	0.0655054
trader	0.0654446
ethicists	0.0651612
passerby	0.0650917
westerner	0.0648454
activist	0.0646578
chef	0.0646174
collector	0.064074
geographer	0.0639143
traveler	0.0636618
statesmen	0.0636294
investor	0.0633349
pollster	0.0632995
astrologer	0.063242
pediatrician	0.0629941
inspector	0.0629217
"faculty member"	0.0628846
detective	0.0627255
surveyor	0.0624419
commentator	0.0622779
toxicologist	0.0621553
undergraduate	0.0615761
professional	0.0613719
"sports fan"	0.061111
parliamentarian	0.0605742
shopper	0.0603947
Fishermen	0.0603098
painter	0.0602913
genealogist	0.0602602
mountaineer	0.0602479
politician	0.0601494
astronaut	0.0600749
musician	0.0600253
onlooker	0.0599774
poet	0.0598403
educationist	0.0598059
buff	0.0596494
"military officer"	0.0594727
hacker	0.059439
golfer	0.0592938
skeptic	0.0592103
consumer	0.0591289
administrator	0.0590916
participant	0.0589165
Futurist	0.058892
athlete	0.0588305
"religious leader"	0.0587072
Hunter	0.0586761
strategist	0.0586498
"market participant"	0.0586182
policy-makers	0.0585984
panelist	0.0582667
critic	0.0581505
horticulturist	0.0581157
immunologist	0.0580327
legislator	0.0578727
oncologist	0.057854
lecturer	0.0578361
sleuth	0.0577832
motorist	0.057621
"electrical engineering"	0.0575804
novelist	0.0573825
"hockey player"	0.0573647
moviegoer	0.0573374
"Census Bureau"	0.057107
"venture capitalist"	0.0570849
"travel agent"	0.057031
developer	0.0569193
neurosurgeon	0.0568702
"aerospace engineer"	0.0566658
"assistant professor"	0.0565919
controller	0.0564505
viewer	0.0561491
firefighters	0.0560933
user	0.0559887
consultant	0.0558436
reviewer	0.0557554
"army officer"	0.0557357
filmmaker	0.0557299
visitor	0.0556748
policymakers	0.0556626
reporter	0.0555356
experimenter	0.055423
))
(astronomy (desc 12200.9) (sims
biology	0.219155
"computer science"	0.21465
physics	0.196809
zoology	0.190835
geology	0.187391
mathematics	0.173282
"social science"	0.166675
linguistics	0.16531
"earth science"	0.164009
pharmacology	0.159991
biochemistry	0.157568
anthropology	0.155103
archaeology	0.153355
"environmental science"	0.153216
psychology	0.153156
physiology	0.152773
"nuclear physics"	0.150256
geophysics	0.149475
"political science"	0.147932
sociology	0.147074
meteorology	0.145881
science	0.144226
"molecular biology"	0.143554
paleontology	0.142317
astrophysics	0.142284
Chemistry	0.141473
Botany	0.135866
"medical science"	0.1357
genetics	0.13375
neuroscience	0.131677
engineering	0.13162
archeology	0.131418
"information science"	0.130312
oceanography	0.12916
civics	0.125557
microbiology	0.12486
seismology	0.124763
"life science"	0.123433
geography	0.121143
"civil engineering"	0.117118
hydrology	0.115623
psychiatry	0.115489
literature	0.115227
pathology	0.114352
"physical education"	0.113931
epidemiology	0.113751
economics	0.1131
"natural science"	0.112651
"particle physics"	0.108011
math	0.10712
"chemical engineering"	0.103871
"mechanical engineering"	0.103862
dermatology	0.103232
"biological science"	0.103075
"preventive medicine"	0.0996926
aeronautics	0.098993
ophthalmology	0.0986909
Anatomy	0.0981889
"electrical engineering"	0.0979868
"comparative literature"	0.0970095
"social work"	0.0960113
Immunology	0.0957982
theology	0.0956861
medicine	0.0950441
cosmology	0.094608
neurology	0.0933007
Journalism	0.0921669
aviation	0.0920643
ecology	0.0908782
"liberal arts"	0.0905897
nursing	0.0899675
"fine arts"	0.088487
architecture	0.0884343
philosophy	0.0883673
computing	0.08787
horticulture	0.0860247
dentistry	0.085183
biotechnology	0.0845675
genomics	0.083957
biophysics	0.0835274
photography	0.0828037
nutrition	0.0827277
agronomy	0.0827094
algebra	0.0808978
art	0.080219
folklore	0.0793902
"artificial intelligence"	0.078855
radiology	0.0787854
Urology	0.0782671
criminology	0.0766522
Talmud	0.0763323
bioengineering	0.0758203
oncology	0.0743329
Pediatrics	0.0743166
calculus	0.0741423
neurobiology	0.0737243
obstetrics	0.0730753
religion	0.0707289
"internal medicine"	0.0702438
"veterinary medicine"	0.0691826
metallurgy	0.0691785
UFO	0.068243
"special education"	0.0682321
Microelectronics	0.0680563
agriculture	0.0663502
English	0.0663086
geometry	0.0660427
gynecology	0.0657869
"natural history"	0.0650347
"computer programming"	0.0647481
telecommunication	0.0647332
jurisprudence	0.0643873
"information technology"	0.0640222
"computer technology"	0.0633541
electronics	0.0632774
"urban planning"	0.0632541
poetry	0.0630452
"alternative medicine"	0.0627865
acupuncture	0.0615723
geriatrics	0.0614161
"folk art"	0.0610944
ethic	0.0608049
demography	0.0607843
"high technology"	0.0603093
prehistory	0.0600138
forestry	0.0596718
"English language"	0.0588503
Toxicology	0.0580434
robotics	0.0579849
"higher education"	0.0578467
gardening	0.0576328
"New Testament"	0.0573939
"weather forecasting"	0.0573491
aerospace	0.056536
spirituality	0.056527
woodworking	0.0561873
optic	0.0559948
theory	0.0559553
"interior design"	0.0557369
"fine art"	0.0553077
entrepreneurship	0.0551633
shipbuilding	0.0547937
"genetic engineering"	0.0547337
astrology	0.0542419
astronomer	0.0540929
psychoanalysis	0.05386
golf	0.0537193
"economic theory"	0.0534463
Buddhism	0.0533427
Cardiology	0.0531201
mountaineering	0.0530155
exploration	0.0526324
modeling	0.0522876
"popular music"	0.0522531
genealogy	0.0520804
scuba	0.0515466
Christianity	0.0515463
"musical theater"	0.0513111
yoga	0.0512916
Kiswahili	0.0512343
"information system"	0.0512335
"chemical industry"	0.0509123
evolution	0.0499324
eighth-grade	0.049749
"computer graphics"	0.0497373
conservation	0.0495308
commerce	0.0492453
Marxism	0.0489465
"country music"	0.0488629
"show business"	0.0487892
SETI	0.0487239
"martial art"	0.0486292
"social welfare"	0.0486173
mining	0.0483725
"Old Testament"	0.0482671
calligraphy	0.0482055
fly-fishing	0.0481839
"communications technology"	0.0480374
publishing	0.0480235
"adult education"	0.0478241
farming	0.047637
Judaism	0.0475834
"Peking Opera"	0.0470195
Hebrew	0.0466488
ergonomics	0.0466316
automation	0.0466066
"science fiction"	0.046351
boxing	0.0463388
accounting	0.0462879
broadcasting	0.046213
retailing	0.0459304
imaging	0.0459232
"computer industry"	0.0458032
undergraduate	0.0457823
breeding	0.0457196
"scuba diving"	0.0454218
therapy	0.0453543
teaching	0.0452522
cinema	0.0451774
"senior high school"	0.0450556
))
(astrophysicist (desc 4002.36) (sims
cosmologist	0.261282
physicist	0.20527
astronomer	0.159494
climatologist	0.139133
mathematician	0.133607
sociologist	0.129059
paleontologist	0.126799
neuroscientist	0.126038
biologist	0.121673
"computer scientist"	0.113088
theorist	0.108366
"political scientist"	0.105596
anthropologist	0.103689
ecologist	0.103105
geneticist	0.10271
geophysicist	0.102542
biochemist	0.0997353
"graduate student"	0.0933787
endocrinologist	0.0914714
historian	0.0912122
chemist	0.0883593
"art historian"	0.0833565
seismologist	0.0793649
"electrical engineer"	0.0784128
archaeologist	0.0781537
geologist	0.0780185
geographer	0.0779005
linguist	0.0774521
psychologist	0.075935
epidemiologist	0.0736656
"social scientist"	0.073236
physiologist	0.0729161
Provost	0.072447
botanist	0.0722581
"political economy"	0.0711229
"aerospace engineer"	0.0709032
theologian	0.0704648
neurologist	0.067851
"Graduate School of Business"	0.0677468
cardiologist	0.0673795
"comparative literature"	0.0665719
oncologist	0.0657593
psychiatry	0.065475
oceanographer	0.0654047
professorship	0.0644273
"law student"	0.0643868
entomologist	0.0637051
microbiologist	0.0625868
zoologist	0.0620596
philosopher	0.0615084
Gastroenterologist	0.0606453
"English professor"	0.060449
"business school"	0.0601879
ornithologist	0.0598778
physics	0.059332
"Ted Hughes"	0.0590481
psychoanalyst	0.058838
"assistant professor"	0.0587927
musicologist	0.0587223
archeologist	0.057618
"visiting professor"	0.0571921
anthropology	0.0568565
"graduate school"	0.0561235
lecturer	0.0560611
adjuster	0.0548396
agronomist	0.0547715
laureate	0.0536544
nutritionist	0.0532249
statistician	0.0531896
oncology	0.0528895
"computer science"	0.0526268
"school of medicine"	0.0525586
ethicist	0.0524482
"chemical engineering"	0.0523725
"political science"	0.0520732
"Kennedy School of Government"	0.0519025
Futurist	0.0509905
"John F. Kennedy School of Government"	0.0503897
academician	0.049776
criminologist	0.0493524
psychiatrist	0.0493083
meteorologist	0.0487331
naturalist	0.0484002
"computer expert"	0.0481502
Hahn	0.0479291
demographer	0.0476743
"faculty member"	0.0470843
immunologist	0.046971
undergraduate	0.0466106
radiologist	0.046573
urologist	0.0460118
"software engineer"	0.0457708
horticulturist	0.0456621
"economic expert"	0.0456213
internist	0.0455704
neurobiology	0.0454797
"Wall Street analyst"	0.0453447
"David Irving"	0.0451926
anesthesiologist	0.0449786
toxicologist	0.0446468
jurist	0.0444841
sociology	0.0443294
"medical specialist"	0.0441362
alumna	0.0440509
dietitian	0.0440409
bioethicist	0.0440182
pharmacologist	0.0436767
"church member"	0.0431781
barrister	0.0428341
"stage director"	0.0424192
hemophiliac	0.0424002
prankster	0.0422226
"House Democrats"	0.0417589
"foreign service officer"	0.041695
"law degree"	0.0414547
alumnus	0.0413404
typist	0.0411802
Ph.D	0.041063
prelate	0.0406954
"associate professor"	0.0406736
"network administrator"	0.0403931
"basketball coach"	0.0401234
neurosurgeon	0.0400845
))
(astrophysics (desc 1737.28) (sims
"earth science"	0.267304
"information science"	0.172946
Immunology	0.170787
cosmology	0.165656
geophysics	0.165318
pharmacology	0.162981
geology	0.158882
"computer science"	0.154574
biochemistry	0.152861
zoology	0.152071
"nuclear physics"	0.151871
astronomy	0.142284
physics	0.141665
hydrology	0.137577
"environmental science"	0.133405
mathematics	0.129804
microbiology	0.128098
biology	0.126342
"life science"	0.126228
seismology	0.119109
radiology	0.11653
"comparative literature"	0.115328
"medical science"	0.11515
Botany	0.113258
"electrical engineering"	0.112557
meteorology	0.111399
physiology	0.110945
"molecular biology"	0.10916
ophthalmology	0.108902
neuroscience	0.108849
agronomy	0.106577
"particle physics"	0.104654
Microelectronics	0.0986666
genetics	0.0986358
oceanography	0.0968372
geriatrics	0.0943232
epidemiology	0.0942216
Urology	0.0928765
anthropology	0.0922329
paleontology	0.0919527
archeology	0.0919376
neurobiology	0.0916039
psychiatry	0.0906356
"preventive medicine"	0.0904488
"biological science"	0.0884944
Cardiology	0.0881335
geography	0.0855917
gynecology	0.0853392
dermatology	0.0848954
"mechanical engineering"	0.0847192
"civil engineering"	0.0844562
obstetrics	0.0835862
calculus	0.0827059
linguistics	0.0815553
"physical education"	0.0793265
biotechnology	0.077945
neurology	0.0767384
"chemical engineering"	0.0755775
oncology	0.0744304
archaeology	0.0726875
"social science"	0.0715857
"liberal arts"	0.071074
"artificial intelligence"	0.0701707
sociology	0.0701372
telemedicine	0.0700837
dentistry	0.0693509
genomics	0.0691094
criminology	0.0681163
Pediatrics	0.0676107
Anatomy	0.0669057
"political science"	0.0667719
Toxicology	0.066078
nursing	0.0650877
astrology	0.0639646
aeronautics	0.0633032
"internal medicine"	0.062051
bioengineering	0.0619118
ecology	0.0612417
"urban planning"	0.0608707
ICA	0.0586869
"political economy"	0.0586578
Antioquia	0.0581873
pathology	0.0563096
"theory of relativity"	0.0559213
"applied science"	0.0553114
"social work"	0.0548032
"city planning"	0.0547183
climatologist	0.0546646
"San Francisco State University"	0.0538003
Meta	0.0535711
"North Carolina State University"	0.0521522
"atomic energy"	0.0517421
optic	0.0513894
geometry	0.0499864
endocrinology	0.049501
"fine arts"	0.0492245
metallurgy	0.0485489
"natural science"	0.0467841
"quantum theory"	0.0464598
"interior design"	0.0463582
"computer graphics"	0.0459157
horticulture	0.0456137
"Fordham University"	0.0455415
robotics	0.0454262
"Texas Christian University"	0.0451693
"Yale Law School"	0.0449997
relativity	0.0449925
"Housing and Urban Development"	0.0449884
"University of Nebraska"	0.0439879
"communicable disease"	0.0435426
"nuclear energy"	0.0432377
entrepreneurship	0.0432073
NYU	0.0431672
"solar wind"	0.0429509
biophysics	0.0427501
avionics	0.0425336
cryptography	0.0423742
divinity	0.0419091
"swing music"	0.041539
SETI	0.0414714
WSU	0.0413669
"computer technology"	0.04127
"Peking University"	0.0408112
"maritime law"	0.0405621
"Southern Methodist University"	0.0405433
"Kansas State University"	0.0403633
"hand tool"	0.0402522
))
(ASTROS (desc 48299.8) (sims
Mets	0.307808
"Houston Astros"	0.295295
Padre	0.284832
brave	0.276717
Phillies	0.270779
dodger	0.267608
"Red Sox"	0.261777
diamondback	0.261611
cub	0.260339
Orioles	0.259547
mariner	0.251552
"White Sox"	0.246957
"blue jay"	0.245607
Giants	0.244001
marlin	0.2289
"New York Mets"	0.225865
Yankee	0.224727
ranger	0.222858
Sox	0.218166
"devil ray"	0.213389
Royals	0.21086
"Los Angeles Dodgers"	0.208495
A's	0.203505
angel	0.200864
cardinal	0.200221
"Atlanta Braves"	0.198868
"New York Yankees"	0.196945
"Chicago Cubs"	0.192377
"Cleveland Indians"	0.191405
"St. Louis Cardinals"	0.187753
"San Diego Padres"	0.185892
Expo	0.184595
Rockies	0.181515
"Arizona Diamondbacks"	0.181141
brewer	0.180894
pirate	0.180838
"Texas Rangers"	0.177504
"Boston Red Sox"	0.175458
"San Francisco Giants"	0.175201
Indian	0.173682
Cleveland	0.169475
"Cincinnati Reds"	0.165029
"Colorado Rockies"	0.164229
"Florida Marlins"	0.16362
"Detroit Tigers"	0.162895
"Anaheim Angels"	0.162894
"Seattle Mariners"	0.161587
"Chicago White Sox"	0.161411
"Tampa Bay"	0.160675
"Baltimore Orioles"	0.159221
"Pittsburgh Pirates"	0.158692
Lakers	0.158057
"Milwaukee Brewers"	0.156993
Houston	0.151085
Knicks	0.149153
"Toronto Blue Jays"	0.148933
bruin	0.148515
"Oakland Athletics"	0.14814
tiger	0.145204
Seahawks	0.144965
ANAHEIM	0.144507
Oakland	0.14377
"San Diego"	0.139395
Cincinnati	0.138713
Celtics	0.138522
Sonics	0.136866
Baltimore	0.135698
"Montreal Expos"	0.134157
Toronto	0.13318
"Philadelphia Phillies"	0.132911
"Kansas City Royals"	0.132731
red	0.132113
Arizona	0.131793
"Los Angeles Lakers"	0.131703
"St. Louis"	0.13169
Trojan	0.131606
"Minnesota Twins"	0.130537
Seattle	0.130517
Milwaukee	0.130389
Montreal	0.128913
falcon	0.127433
Eagles	0.127406
cowboy	0.126211
oiler	0.126123
pacer	0.124881
Detroit	0.124729
twin	0.12388
"Tampa Bay Devil Rays"	0.123484
wildcat	0.122728
Pittsburgh	0.121902
Colorado	0.120411
BEARS	0.119697
"Red Wings"	0.119652
Atlanta	0.118635
clipper	0.118437
Boston	0.117898
ram	0.116472
devil	0.115202
panther	0.115072
yank	0.114997
team	0.114954
Canadiens	0.113865
Redskin	0.113771
maverick	0.113107
patriot	0.113054
Minnesota	0.112969
Aggies	0.112657
MetroStars	0.112379
sabre	0.111828
Bengals	0.110312
"Chicago Bulls"	0.109298
"New York Knicks"	0.109244
husky	0.108752
islander	0.108517
"Maple Leafs"	0.108286
bronco	0.106493
spur	0.105647
packer	0.105498
"Kansas City"	0.105424
flyer	0.105406
Steelers	0.105095
"Houston Rockets"	0.104775
"New York Giants"	0.104677
"Trail Blazers"	0.104629
Longhorn	0.1039
Philadelphia	0.103494
hawk	0.103237
USC	0.102981
Canuck	0.101946
Blackhawks	0.101286
Chicago	0.100925
UCLA	0.100882
Viking	0.0999796
piston	0.0991244
charger	0.0990885
Hornet	0.0990729
grizzly	0.0989575
bulldog	0.098832
bull	0.098156
coyote	0.0971029
raider	0.0970849
Seminoles	0.0965782
"Michigan State"	0.0961506
Gators	0.0958871
"Minnesota Vikings"	0.0955608
Dallas	0.0953454
"Mighty Ducks"	0.0952331
Raptor	0.0951809
"Washington Redskins"	0.0950706
colt	0.094769
"New York Jets"	0.0946962
Timberwolves	0.0945323
sixer	0.0942764
"D.C. United"	0.0937342
"American League"	0.0936542
blazer	0.0935149
Bucs	0.0928633
Boilermakers	0.092732
"Florida Panthers"	0.09262
matador	0.0920677
"Dallas Stars"	0.0920294
NL	0.0918809
"San Antonio Spurs"	0.0918182
"National League"	0.0917213
Carolina	0.0913152
gamecock	0.0909519
"Dallas Cowboys"	0.0909169
"Tar Heels"	0.0908431
Maddux	0.0908289
"Washington Capitals"	0.0908081
athletics	0.0907809
"Detroit Red Wings"	0.0907773
Edmonton	0.0907017
Portland	0.0906594
"St. Louis Rams"	0.0901393
buckeye	0.0899981
"Sacramento Kings"	0.0898202
"Indiana Pacers"	0.0897435
LSU	0.0896583
"Los Angeles Kings"	0.0893748
Pepperdine	0.0892609
"Miami Heat"	0.0891089
Texas	0.089099
"blue devil"	0.0890767
Spartan	0.0888668
"Green Bay"	0.0883334
titan	0.0880058
"Green Bay Packers"	0.0879415
Denver	0.0879049
Buffalo	0.0870001
dolphin	0.0866438
"New York Rangers"	0.0866263
"Ohio State"	0.0865867
Raven	0.0865833
"San Francisco"	0.0864407
"Florida State"	0.0864194
Purdue	0.0863039
club	0.0862869
Sooners	0.0856377
Sparks	0.0854713
))
(Astroturf (desc 1585.61) (sims
fescue	0.0751597
Kleenex	0.068583
flagstone	0.0651904
marshland	0.0635178
stethoscope	0.056154
"psychological warfare"	0.0556755
oreo	0.0554594
ragweed	0.0540353
flooring	0.0539666
"tissue paper"	0.0537168
sagebrush	0.0536932
"dry land"	0.0534976
Marlboro	0.0534226
blacktop	0.0533929
wildflower	0.052094
Marlboros	0.0514331
"floor plan"	0.0513231
"Volkswagen Beetle"	0.0510118
sod	0.051009
supercomputers	0.050458
Speedo	0.0502313
"written language"	0.0502242
carpeting	0.0498321
dampness	0.0496237
"Old Course"	0.0491297
emerald	0.0488037
"laser beam"	0.0484931
"electric light"	0.0478368
icicle	0.0475204
Margarita	0.0473859
"sugar cane"	0.046352
croquet	0.0456505
hydrangea	0.0456095
undergrowth	0.0455797
"printing press"	0.045363
lozenge	0.0452952
sisal	0.0450419
"fortune cookie"	0.0449184
Darrell	0.044893
"Le Mans"	0.0445366
mutuel	0.0443193
"air bubble"	0.0442253
"dress uniform"	0.0436277
"blue sky"	0.0435412
blimp	0.043501
heavens	0.0433419
pompom	0.0433048
"raw meat"	0.0432434
clover	0.043165
fern	0.0428384
"building product"	0.0428103
bunting	0.0426947
eyeliner	0.0425537
"office furniture"	0.0425477
drapery	0.042159
"contact lense"	0.0420702
"atom bomb"	0.0420135
hardcourt	0.0419699
pajama	0.0419661
Jinzhou	0.0414236
vermin	0.0412677
cropland	0.0412639
agave	0.0409007
toolbox	0.0408381
Collard	0.0406691
"Joe Camel"	0.0404005
Camaro	0.0403963
Budweiser	0.0403739
"tortilla chip"	0.0400102
))
(ASU (desc 15517.6) (sims
"Arizona State"	0.227283
USC	0.194184
UCLA	0.183075
CSUN	0.18139
TCU	0.172367
Pepperdine	0.167172
Stanford	0.161443
"Notre Dame"	0.155129
"Kansas State"	0.152725
"Ohio State"	0.152551
"Georgia Tech"	0.151742
NAU	0.151601
"Oregon State"	0.149305
Boilermakers	0.149093
Cal	0.146287
"Penn State"	0.145815
LSU	0.144462
Sooners	0.143827
"Florida State"	0.143756
Rutgers	0.142172
"Washington State"	0.140257
Baylor	0.140128
"Horned Frogs"	0.139247
"Iowa State"	0.138606
UMass	0.137766
wildcat	0.136331
Purdue	0.135697
"Michigan State"	0.135442
UConn	0.13419
"Nittany Lions"	0.13322
SMU	0.131999
BYU	0.130537
OSU	0.129714
"Virginia Tech"	0.128563
"Cal State Northridge"	0.128315
Fordham	0.127925
Aggies	0.126078
"Texas Tech"	0.125292
"Red Storm"	0.124681
"Boston College"	0.124377
"Crimson Tide"	0.124074
Lobos	0.123096
"blue devil"	0.122393
tech	0.121683
"Mississippi State"	0.120319
UNLV	0.120219
Gonzaga	0.119474
ou	0.119066
Cornhusker	0.119042
Seminoles	0.11877
Trojan	0.118683
BC	0.118362
gamecock	0.118337
Wolfpack	0.117938
Jayhawks	0.117369
Gators	0.117315
"Tar Heels"	0.117073
Duke	0.116715
"Wake Forest"	0.116002
"San Diego State"	0.115947
Wolverine	0.115751
"San Jose State"	0.115697
Hokies	0.115682
"Oklahoma State"	0.115636
WSU	0.114545
Huskers	0.114217
Clemson	0.113852
Giants	0.112969
K-State	0.112856
bruin	0.112524
Minutemen	0.11219
FSU	0.112042
Hawkeyes	0.110975
Tennessee	0.110951
Steelers	0.110891
"Seton Hall"	0.110647
UT	0.110587
Bengals	0.110144
Longhorn	0.109909
husky	0.109453
bulldog	0.108946
"Fresno State"	0.10878
"Red Raiders"	0.108673
Vanderbilt	0.108206
Seahawks	0.107609
Nebraska	0.106761
matador	0.10675
BEARS	0.105809
UA	0.105395
Hofstra	0.105395
Eagles	0.105136
"University of Georgia"	0.104768
bronco	0.104079
buckeye	0.103571
Celtics	0.10333
"Fighting Irish"	0.102897
"Georgia Southern"	0.102016
Xavier	0.101905
"junior college"	0.101743
Sonics	0.100801
Redskin	0.10066
MetroStars	0.100127
Vols	0.0999822
"N.C. State"	0.0998302
charger	0.0996279
Villanova	0.099105
badger	0.0986916
"Long Beach State"	0.0984825
"Green Bay"	0.0983746
Kentucky	0.0983006
Bucs	0.0975736
"University of Dayton"	0.0974526
cougar	0.0973807
Arizona	0.0973127
UW	0.0972641
"Tampa Bay"	0.0972266
"yellow jacket"	0.0970962
"Trail Blazers"	0.0970569
northwestern	0.0968876
Oregon	0.0967348
Princeton	0.0966575
"Dallas Cowboys"	0.09656
"North Carolina State"	0.0964007
Wisconsin	0.096218
"Louisiana Tech"	0.0961742
Tulane	0.0958747
"University of Houston"	0.0957218
Northridge	0.0956777
Illini	0.095556
"Ball State"	0.0952712
"University of Texas"	0.0947807
"St. John"	0.0936853
pacer	0.0932668
Stephenville	0.0927182
Auburn	0.092662
Indiana	0.0920424
"Colorado State"	0.0919949
Tulsa	0.0918049
Yale	0.09131
"East Carolina"	0.0911409
"Southern Cal"	0.0910826
UNT	0.0908703
"Scarlet Knights"	0.090829
"Brigham Young"	0.0907936
Syracuse	0.0905135
Viking	0.0904661
"Golden Hurricane"	0.0904237
Lakers	0.090409
falcon	0.0903335
Spartan	0.0902877
cardinal	0.0900189
"Southwest Missouri State"	0.0892962
Utah	0.0888176
Mets	0.0886957
"University of South Carolina"	0.0883472
"UC Santa Barbara"	0.0881414
gopher	0.0879954
"Tennessee Titans"	0.087968
Harvard	0.0878671
Cavs	0.0877188
Knicks	0.0877164
Miami	0.0874561
Dartmouth	0.0871383
Mavs	0.0869564
packer	0.0866915
bearcat	0.0866084
"Utah State"	0.0862656
"Appalachian State"	0.086109
terrapin	0.0860885
"University of Oregon"	0.0860014
"Minnesota Vikings"	0.0856536
UAB	0.0856421
cowboy	0.0850422
Orioles	0.0850129
Minnesota	0.0849198
DePaul	0.0845224
"Denver Broncos"	0.0844551
panther	0.0843851
UNC	0.0843215
Marquette	0.0842922
Michigan	0.084156
oiler	0.0840345
"Boston University"	0.0839819
Lehigh	0.0838661
"Northern Arizona"	0.0835018
BUCCANEER	0.0828845
Jacksonville	0.0823297
Georgia	0.0821877
"University of Oklahoma"	0.0820249
devil	0.0816875
"Arkansas State"	0.0816618
ASTROS	0.081493
Georgetown	0.0814798
Denver	0.081472
RedHawks	0.0812934
Colorado	0.0807367
Alabama	0.0802089
Sparks	0.0799759
Padre	0.0799503
Carolina	0.0798814
))
(Asuncion (desc 4238.21) (sims
Chisinau	0.22975
Dushanbe	0.217348
"La Paz"	0.203864
Windhoek	0.195718
Tbilisi	0.194484
Moroni	0.187816
Mbabane	0.185674
Tashkent	0.183332
Yerevan	0.182672
Gaborone	0.180441
Maseru	0.179294
Minsk	0.178431
BRATISLAVA	0.178143
Doha	0.17709
"Guatemala City"	0.167393
Vilnius	0.167129
Riyadh	0.16549
MANAMA	0.160801
"San Salvador"	0.160702
"Santo Domingo"	0.160573
Basle	0.160181
Bishkek	0.159981
Tallinn	0.156832
Vladikavkaz	0.15483
Monrovia	0.154383
Suva	0.1535
Accra	0.153465
"Port Moresby"	0.152157
Skopje	0.151021
Baku	0.149608
Bujumbura	0.145269
Bissau	0.143015
Algiers	0.142202
Bangui	0.14068
CARACAS	0.14032
Riga	0.139531
Bamako	0.133287
Dili	0.132684
Srinagar	0.132252
Cardiff	0.131231
Abidjan	0.131169
PALERMO	0.13036
Vientiane	0.129788
Muscat	0.129243
Filderstadt	0.128728
Kinshasa	0.127904
Tripoli	0.127834
Yaounde	0.127762
TEGUCIGALPA	0.127572
Rabat	0.127362
Linz	0.126954
Strasbourg	0.126098
Belfast	0.125957
Kigali	0.12512
Dakar	0.124697
Oslo	0.123716
Madras	0.122707
Ashkhabad	0.121648
Kuching	0.121639
ZAGREB	0.121637
Adelaide	0.121413
"Phnom Penh"	0.120711
Sarajevo	0.120246
Lome	0.119644
BOGOTA	0.119604
Pretoria	0.119599
Quito	0.119166
Asmara	0.118746
Denpasar	0.118475
Astana	0.118068
SOFIA	0.117564
SEOUL	0.117507
Lima	0.116896
Lucerne	0.116764
Perth	0.116668
COLOMBO	0.116576
KIEV	0.116499
BUCHAREST	0.116234
Dublin	0.115798
Sapporo	0.114886
Kabul	0.114848
Santiago	0.114702
Jalalabad	0.114539
MAPUTO	0.114448
"Buenos Aires"	0.114166
Duesseldorf	0.113673
"Kuala Lumpur"	0.113582
Prague	0.11286
Ouagadougou	0.112152
Eindhoven	0.112034
Lucknow	0.111515
Ljubljana	0.110734
Peshawar	0.110729
"Addis Ababa"	0.110301
Havana	0.110198
Luanda	0.110187
Podgorica	0.110066
Honiara	0.110004
HARARE	0.109027
Khartoum	0.10871
Lusaka	0.108187
Reykjavik	0.108129
LISBON	0.107664
Plata	0.107587
Utrecht	0.107338
Beirut	0.107266
"Cape Town"	0.107107
Lahore	0.106595
Trondheim	0.106453
"Tel Aviv"	0.106365
Surabaya	0.106148
Manado	0.105654
Calcutta	0.105603
HANOI	0.105491
MONTEVIDEO	0.105177
Copenhagen	0.10506
BUDAPEST	0.104872
Karachi	0.104822
Brazzaville	0.104382
Ambon	0.104232
Guadalajara	0.104176
Managua	0.104151
Taloqan	0.104062
Amman	0.103862
Kuito	0.103093
"Ulan Bator"	0.102737
"Egyptian capital"	0.102638
SANAA	0.102621
Lhasa	0.102342
MELBOURNE	0.101969
Brisbane	0.101775
Hobart	0.101558
Freetown	0.101415
Jakarta	0.101383
Katmandu	0.101014
Conakry	0.100769
NICOSIA	0.100714
Langkawi	0.100673
Kandy	0.100282
"ALMA ATA"	0.099745
Damascus	0.0997147
Jeddah	0.099457
Kitzbuehel	0.0987524
Madrid	0.098492
Lausanne	0.0983812
Durban	0.0982948
"San Juan"	0.0982583
JOHANNESBURG	0.0979536
Halle	0.0976647
Auckland	0.0975639
Lyon	0.0974932
Lugano	0.0971533
Pristina	0.0970376
YANGON	0.0970276
BRASILIA	0.0969617
Charleroi	0.0969008
"Ramon Delgado"	0.0968933
Nagoya	0.0968766
Chennai	0.0966646
Hanover	0.0966422
TIRANA	0.0966348
Nairobi	0.0956215
Bern	0.0952995
Port-au-Prince	0.0951871
Alma-Ata	0.0950039
Yinchuan	0.0948749
Osaka	0.0948615
Malmo	0.0946879
Vitoria	0.0945914
Amsterdam	0.094181
Zurich	0.0939019
Islamabad	0.0938973
Munich	0.0938379
"CHIANG MAI"	0.0936869
KAMPALA	0.0932974
Grozny	0.0930392
BLANTYRE	0.0928344
Libreville	0.092239
BRUSSELS	0.0920827
Milan	0.0917594
Tehran	0.0914744
"Ho Chi Minh City"	0.0912949
Valletta	0.0904742
Hohhot	0.0903437
Hyderabad	0.0903017
PATNA	0.089939
Rotterdam	0.0898354
CAIRO	0.0898094
ANKARA	0.0897997
Abuja	0.0892594
Jayapura	0.0891951
Dodoma	0.0888248
Arusha	0.088797
Essen	0.0886837
Almaty	0.0885493
"Bandar Seri Begawan"	0.0884474
Medellin	0.0883818
Shiraz	0.0883546
Taipei	0.0883278
"Malaysian capital"	0.0882888
))
(Aswan (desc 3083.57) (sims
Luxor	0.192741
el-Sheikh	0.179305
Ismailia	0.155504
Giza	0.146378
Cebu	0.138943
Juba	0.132021
Antalya	0.129768
Kismayu	0.127735
Alexandria	0.12738
Basra	0.127214
Phuket	0.127043
Cochabamba	0.1222
Suez	0.118511
Taba	0.117295
Larnaca	0.117099
Ensenada	0.115534
Uvira	0.114888
Najaf	0.112912
Bushehr	0.111328
Qom	0.10828
Cacak	0.10799
Jeddah	0.107548
Saida	0.106406
Davao	0.106215
Kisumu	0.104211
Eilat	0.104046
Tapachula	0.103526
"Port Said"	0.102348
"Mount Lebanon"	0.101995
Acapulco	0.101472
Merca	0.0988149
Sidon	0.0985429
Ashkelon	0.0980433
Durres	0.0973588
Bangalore	0.0972428
Urus-Martan	0.0963595
Entebbe	0.0959352
Herat	0.0957534
Kismaio	0.0955619
Kragujevac	0.0943832
Mosul	0.0942937
Bursa	0.0936587
Murmansk	0.0925516
Sihanoukville	0.0921486
Isfahan	0.0912339
Yogyakarta	0.0908268
Catania	0.0903868
"Nile Delta"	0.0895334
"CHIANG MAI"	0.0894495
Sochi	0.0889872
Aqaba	0.0887237
Bukavu	0.0885388
Nago	0.0882885
Malaga	0.0879082
Golmud	0.087841
Bulawayo	0.0878398
Matadi	0.0874972
Sheikh	0.087477
Beira	0.087405
Krasnoyarsk	0.086957
Mandalay	0.0866805
Pattaya	0.0862515
Multan	0.0856242
Kandy	0.0854238
Novosibirsk	0.0850756
Puebla	0.0841435
Kindu	0.0833989
Baotou	0.0833495
Gudermes	0.0830931
"Banja Luka"	0.0826785
Urosevac	0.0820005
Izmit	0.0819744
Shiraz	0.0819215
Luoyang	0.0817146
Izmir	0.0815257
Guayaquil	0.081361
Casas	0.0811819
Nabatiyeh	0.0810491
Peshawar	0.0809414
Lhokseumawe	0.0807275
Rafah	0.0803774
Mankulam	0.0803705
"San Pedro Sula"	0.07995
Taloqan	0.0792523
Baoding	0.0791243
Liuzhou	0.0788289
Baalbek	0.0786792
Quanzhou	0.0773692
Srbica	0.077233
Tachilek	0.07684
"Nuevo Laredo"	0.0767149
Kizlyar	0.0764739
Cartagena	0.0763796
"San Cristobal"	0.0759488
governorates	0.0756721
Ur	0.075656
Kandahar	0.0752381
"Surat Thani"	0.0752014
Beersheba	0.0744198
Baidoa	0.074315
Aden	0.0743037
Mazar-i-Sharif	0.074279
Bamiyan	0.0742163
Dubrovnik	0.0739131
NIS	0.0732577
Ndola	0.0725818
Jalalabad	0.0722864
Bengkulu	0.0722578
Yekaterinburg	0.0720834
Manado	0.0718512
Cotabato	0.0718205
Cyberjaya	0.0712204
Chamonix	0.0711107
Gnjilane	0.0710953
Chengde	0.0709981
Chennai	0.0709884
Shali	0.0706844
Posoltega	0.0699166
Veracruz	0.0698116
Limassol	0.069757
Hyderabad	0.0693798
Mashhad	0.0693064
Mombasa	0.0688811
Bogor	0.0688682
"Victoria Falls"	0.068737
Christchurch	0.0686753
Anshan	0.068503
"Egyptian capital"	0.0683064
Golcuk	0.0676758
Rawalpindi	0.0675053
Jinja	0.0673266
Bandung	0.0672999
Sinai	0.0672375
Kijevo	0.0670603
Adana	0.066806
Dundalk	0.0667729
SANAA	0.0667071
CANCUN	0.0666752
Diyarbakir	0.0664005
Kraljevo	0.066374
Vladikavkaz	0.0663407
Krakow	0.066164
Sanya	0.0660743
Khabarovsk	0.0657272
"Novi Sad"	0.0656738
Zamboanga	0.0653335
Lubumbashi	0.0653291
Waterville	0.0648734
Warri	0.0648404
Trincomalee	0.064808
Merida	0.0647326
Hillsboro	0.0647056
Cairns	0.0645546
Khulna	0.0643865
"Puerto Vallarta"	0.0643199
governorate	0.0642587
Huambo	0.0639819
Khartoum	0.0638907
Prizren	0.0637499
"Montego Bay"	0.0633714
"Suva Reka"	0.0632881
Wuxi	0.0628626
Bergen	0.0627709
Goma	0.0627282
Xuzhou	0.0626033
Zhangjiajie	0.0620605
Tripoli	0.0619952
Jezzine	0.0619746
"Port Harcourt"	0.061924
Mostar	0.0617956
Datong	0.061538
Kano	0.0615287
Aachen	0.0614441
Gdansk	0.0614331
Astana	0.0614094
Dushanbe	0.0613214
Weimar	0.061072
Pancevo	0.0609775
Wildwood	0.060955
Calcutta	0.0608107
Haifa	0.0606564
Leskovac	0.0606303
Yichang	0.0605583
"Del Rio"	0.0605581
Cavalese	0.0603393
Beihai	0.0603213
"Siem Reap"	0.0602904
Pusan	0.0602489
Marjayoun	0.0602408
Jamestown	0.0602397
Weifang	0.060202
Atambua	0.0601005
Blackpool	0.0600845
Nagoya	0.0600571
Haicheng	0.0598924
Kuito	0.0597994
Durban	0.0597441
"Port Moresby"	0.0597092
"Chiang Rai"	0.0595736
Wenzhou	0.0595706
))
(asylum (desc 23879.4) (sims
citizenship	0.178632
residency	0.156216
clemency	0.153085
amnesty	0.129918
pardon	0.12736
visa	0.120787
naturalization	0.119576
refuge	0.117908
leniency	0.111735
extradition	0.106435
"work permit"	0.106218
reinstatement	0.102137
parole	0.0981888
permit	0.0958892
immunity	0.0929217
bail	0.0900586
"stay of execution"	0.0896736
license	0.0870271
custody	0.0867907
"financial aid"	0.0865547
"marriage license"	0.0836391
compensation	0.0835105
rehearing	0.0819639
refund	0.0819062
employment	0.0812736
"disability benefit"	0.0801158
membership	0.0800766
protection	0.0800244
exemption	0.079746
waiver	0.0797056
status	0.0784265
shelter	0.0781847
accreditation	0.0776084
"death penalty"	0.0774665
assistance	0.0763412
"food stamp"	0.0733744
forgiveness	0.0730763
haven	0.0728664
passport	0.0725327
arbitration	0.0721841
commutation	0.0712461
injunction	0.0703326
permission	0.0691403
freedom	0.0686761
immigration	0.0683785
relief	0.0678212
reparation	0.0670682
autonomy	0.0666518
nationality	0.0660863
privilege	0.0660681
mistrial	0.0659167
divorce	0.0657403
disbarment	0.0657072
clearance	0.0652011
registration	0.0651215
certification	0.0650125
"medical care"	0.0649446
"due process"	0.0646822
funding	0.064481
reimbursement	0.0640699
subsidy	0.0634292
sanctuary	0.0632901
self-determination	0.0626576
visitation	0.0625626
patent	0.0624812
exile	0.0624127
treatment	0.061692
annulment	0.061539
"legal status"	0.0609759
restitution	0.0609375
statehood	0.0607366
reprieve	0.0607189
"mental institution"	0.0605451
anonymity	0.0601566
"search warrant"	0.0598838
admission	0.0596597
repatriation	0.0596099
deportation	0.0595871
recognition	0.0592005
authorization	0.0590245
licence	0.0583679
representation	0.0583395
"right to vote"	0.0574321
"building permit"	0.0569934
"food aid"	0.0567335
accommodation	0.0564942
MFN	0.0562481
"bankruptcy protection"	0.0561826
Privacy	0.0558975
independence	0.0556139
abortion	0.0553898
care	0.0550963
extension	0.0548669
guardianship	0.0547151
Medicaid	0.0546347
"freedom of speech"	0.0545161
refugee	0.0539427
"tax break"	0.0539322
"human rights"	0.0536518
residence	0.0534419
rebate	0.0534154
intervention	0.053293
postponement	0.0530551
entry	0.0528671
voucher	0.0523915
"wage increase"	0.0522645
resettlement	0.0522245
punishment	0.0520578
pension	0.0519638
"child support"	0.0517544
financing	0.0517543
mercy	0.0514154
concession	0.051218
"capital punishment"	0.0511185
unemployment	0.0511072
welfare	0.0508491
certificate	0.0507449
prosecution	0.050718
Housing	0.0505628
approval	0.0501973
bankruptcy	0.0501324
warrant	0.0498513
"free trade"	0.0497647
"civil rights"	0.0496918
"health care"	0.0491139
lockup	0.0489941
reconsideration	0.0487971
"pay raise"	0.0486723
sympathy	0.0483559
equality	0.0481624
Emigration	0.0481516
"health insurance"	0.0479937
"medical aid"	0.0474233
"driver's license"	0.0472142
imprisonment	0.0471941
insurance	0.0471727
"human right"	0.0470276
donation	0.0467457
reconciliation	0.0466285
confidentiality	0.0465885
scholarship	0.0465286
forfeiture	0.0463738
justice	0.0463513
quarantine	0.0463388
sovereignty	0.0463375
dispensation	0.0462586
taxation	0.0461052
incentive	0.0460723
"equal opportunity"	0.0459964
detention	0.0457989
self-defense	0.0457862
assurance	0.0456668
eligibility	0.0456099
autograph	0.0455749
Ransom	0.0452196
moratorium	0.0450156
suffrage	0.0448484
"family planning"	0.0447612
"psychiatric hospital"	0.0446266
censorship	0.04459
Promotion	0.0445784
"mental hospital"	0.0444502
admittance	0.0444207
liquidation	0.0442276
subpoena	0.0441659
renewal	0.0441397
ceasefire	0.0437012
adoption	0.0436272
Privatization	0.0436211
cease-fire	0.0435664
deferment	0.0433843
vacationing	0.0433294
abatement	0.0433227
burial	0.0432634
"land reform"	0.0432345
"tax credit"	0.0432034
mediation	0.0431845
"social service"	0.0430867
self-government	0.0430554
foothold	0.0430545
immigrant	0.0429957
retrial	0.0429594
"arrest warrant"	0.0428537
"trade relation"	0.0428503
lifting	0.042799
libel	0.0427167
notification	0.0426649
candidacy	0.042627
tariff	0.0424785
resignation	0.0423947
furlough	0.0421691
"legal representation"	0.0416134
persecution	0.0415814
removal	0.0415677
transplant	0.0415614
separation	0.0414879
counseling	0.0414257
"rule of law"	0.0413142
vacation	0.0412633
"gun control"	0.0412527
))
(asylum-seekers (desc 3655.42) (sims
seeker	0.17397
illegals	0.158584
"displaced person"	0.14707
migrant	0.143994
Zairean	0.140963
returnees	0.126146
displaced	0.122826
VMs	0.112683
emigrant	0.109794
evacuee	0.106338
immigrant	0.106063
registrant	0.103106
"Sri Lankans"	0.102786
mainlanders	0.102235
deportee	0.0998413
"Kosovar Albanians"	0.0985215
Haitian	0.0962665
deserter	0.0926407
job-seekers	0.0908886
Angolan	0.0860122
enlistee	0.0856852
Eritrean	0.0846388
Liberian	0.0846243
Nicaraguan	0.0841652
"Iraqi POWs"	0.083826
"foster child"	0.0836583
Salvadoran	0.0797404
"Albanian Kosovars"	0.0796343
traveller	0.0792598
reservist	0.0785459
Kosovars	0.0785179
"political prisoner"	0.0779341
alien	0.0765037
Afghan	0.0761845
"Iranian POWs"	0.0760444
"Kosovo Albanians"	0.0759021
Guatemalan	0.0755135
Burundian	0.0748174
adoptees	0.0743125
Mozambican	0.0740344
Bosnians	0.0729681
holidaymaker	0.0726402
Chinese-Indonesians	0.0726391
non-Muslims	0.0721739
"North Africans"	0.0717968
settler	0.071745
"Kosovo Serbs"	0.0713095
Kurds	0.0705661
Cambodian	0.0702025
Somali	0.0697205
detainee	0.0695127
Ethiopian	0.0691444
bomblets	0.0690439
ex-combatants	0.0688069
Bangladeshi	0.0675594
Ugandan	0.0672105
Zimbabwean	0.0670527
non-Jew	0.0669617
verifiers	0.06685
noncitizens	0.0666416
"temporary worker"	0.0665216
"drug addict"	0.0661863
businesspeople	0.0659848
villager	0.0650442
Sudanese	0.0644014
enumerators	0.063907
"union worker"	0.0638413
"coal miner"	0.0635862
Namibian	0.0634077
Acadian	0.0632884
Moslem	0.0624305
hemophiliac	0.0613704
Honduran	0.0612097
Macedonian	0.0608948
pilgrim	0.0602609
marcher	0.0601919
"Orthodox Jews"	0.0601789
Ukrainians	0.060152
expatriate	0.06004
centenarian	0.0598787
escapee	0.0598643
"military personnel"	0.0597251
non-Albanians	0.0596529
Kalejs	0.0595324
Filipino	0.059219
"East Timorese"	0.0588415
hotspots	0.0584813
laborer	0.0584475
miner	0.0584343
herdsmen	0.0583025
exhibitor	0.0580741
vacationer	0.0579808
"Russian Jews"	0.0579608
combatant	0.0576528
claimant	0.0575072
Montenegrins	0.0574196
"Sierra Leonean"	0.0569569
"another @@,@@@"	0.0569234
enrollee	0.0566943
Guinean	0.0565612
Sheinbein	0.0564176
"Central American"	0.0563389
"Sephardic Jews"	0.0562101
"skilled worker"	0.0561917
militiamen	0.0560711
squatter	0.0560067
"container ship"	0.0557732
mourner	0.0554663
Ghanaians	0.0552624
protestor	0.055137
"farm worker"	0.0550662
"people of color"	0.0550295
"distress signal"	0.054767
soliders	0.0547238
Vietnamese	0.054722
Gypsy	0.0546374
Muscovite	0.0538676
dropout	0.0534951
Tibetans	0.053478
seamen	0.0534166
"shipwreck survivor"	0.0533638
Colombian	0.0532346
"church member"	0.0531851
Turk	0.0530684
"juvenile delinquent"	0.0530454
stowaway	0.0529812
armymen	0.0527744
stone-throwers	0.0526819
"prisoner of war"	0.0521622
bikers	0.0521157
commuter	0.0520839
defector	0.0520667
homebuyers	0.0519599
servicemen	0.0519553
Rwandan	0.0518933
"government officials"	0.0516656
"form letter"	0.0516511
mercenary	0.0514984
laid-offs	0.0514478
fencer	0.0513953
Chechens	0.0512126
Bhutanese	0.0511695
rioter	0.0510981
"war criminal"	0.0508675
onlooker	0.0507433
Beijingers	0.0507
"Greek Cypriots"	0.0506547
"fire truck"	0.0504978
trainee	0.0504543
"property owner"	0.0503448
"Bengal tiger"	0.0502643
Bedouin	0.0502078
bandit	0.050081
Nepalese	0.0500792
"job seeker"	0.0498593
"faculty member"	0.0493076
enterpreneurs	0.0492815
"African elephant"	0.0492622
"university student"	0.0492304
"domestic animal"	0.0491543
Londoner	0.0491532
troublemaker	0.0491257
Cypriot	0.0490408
sufferer	0.0489379
worshipper	0.0489138
"mountain gorilla"	0.0488011
contraband	0.0486949
"giant panda"	0.048655
"sugar refinery"	0.0485085
geese	0.048356
Navajos	0.048322
"season ticket"	0.0482795
B-@s	0.0482686
landowner	0.0482544
POW	0.0482519
Trucking	0.0481466
Congolese	0.0481026
snowbird	0.0480618
sportsmen	0.0479224
beany	0.0479213
worshiper	0.0479048
"New York Republicans"	0.0477848
pensioner	0.0477797
"polling place"	0.0476308
agronomist	0.0474222
Croats	0.0473506
pup	0.0470935
Bulgarian	0.0468244
adherent	0.04661
firemen	0.0465966
"Vo Van Kiet"	0.0465305
"heroin addict"	0.0464075
parolee	0.046396
newborns	0.0463875
meatpackers	0.0461037
"Juan Miguel Gonzalez"	0.0460971
Chinese-Americans	0.0460468
"fire engine"	0.0458045
Ecuadoreans	0.0457287
Armenians	0.0457093
))
(asymmetry (desc 2678.41) (sims
inequity	0.085471
complementarity	0.0646436
commonality	0.063315
imbalance	0.061828
disparity	0.0593643
inequality	0.0588856
divergence	0.0576382
fissure	0.0572487
overheating	0.0571353
backsliding	0.0564265
variability	0.0555921
discrepancy	0.0550964
friction	0.0543031
reciprocity	0.0532491
arousal	0.0522859
deceleration	0.0521521
fallibility	0.0517822
schism	0.0515251
polarization	0.0513278
interdependence	0.0511579
malignancy	0.0509747
upturn	0.0496886
discord	0.0488367
unfairness	0.0483551
bullishness	0.048065
"ill will"	0.0478308
rift	0.0471276
interconnection	0.0470969
melting	0.046579
myopia	0.0463948
fuzziness	0.0461032
cross-pollination	0.0455647
estrangement	0.0453267
elegance	0.0452341
radioactivity	0.0448764
belligerence	0.0446137
marginalization	0.0443636
imperfection	0.0442136
lunacy	0.044098
dichotomy	0.0440087
cross-fertilization	0.0438999
"double standard"	0.0434844
laxity	0.043479
oscillation	0.0433506
"price pressure"	0.0433404
slippage	0.0432299
"crime wave"	0.0430886
shortsightedness	0.0430464
centralization	0.0424791
cuteness	0.0424356
paradox	0.0423978
sweetness	0.0419717
timbre	0.0417767
cohesion	0.0415009
fragmentation	0.0414958
synergy	0.041466
aggressiveness	0.0409212
disharmony	0.0409029
confidence-building	0.0407419
interoperability	0.0405127
ferment	0.0403566
detente	0.0402504
thawing	0.0400763
dissonance	0.0400496
))
(at-bat (desc 46410.2) (sims
inning	0.23274
"home run"	0.199669
RBI	0.181335
homer	0.163451
games.	0.160685
strikeout	0.151011
game	0.140864
batter	0.135887
hit	0.133479
shutout	0.13219
"batting average"	0.126498
no-hitter	0.126232
seventh	0.126195
pitch	0.125805
eighth	0.122149
ninth	0.12147
hitter	0.121307
"grand slam"	0.12018
outing	0.119304
sixth	0.119029
batting	0.111509
double	0.111354
single	0.110936
"earned run"	0.109857
"major league season"	0.109277
innings.	0.109184
"road game"	0.106982
appearance	0.105139
fifth	0.104241
"solo homer"	0.10375
"unearned run"	0.10296
starts.	0.102456
outs	0.100836
"home game"	0.0996063
majors	0.0954998
triple	0.0952857
"World Series"	0.0942545
fourth	0.0936136
"double play"	0.0913764
hitting	0.0906372
"playoff game"	0.0905983
"sacrifice fly"	0.0904822
inning.	0.0901843
"bottom of the inning"	0.0898169
"first homer"	0.0897416
season	0.0891067
third	0.0884709
second	0.0873911
"Game @"	0.0855542
no-decisions	0.0849325
victory	0.0846998
postseason	0.0843286
shot	0.084299
"three homers"	0.0841534
streak	0.0837211
homestand	0.0834517
"two homers"	0.0833482
"base runner"	0.0823044
grounder	0.0814437
baserunners	0.0814093
"perfect game"	0.0803568
doubleheader	0.0797045
"third homer"	0.0789511
pitching	0.0781393
bat	0.07758
"power play"	0.0771632
"exhibition game"	0.0766606
"big league"	0.0752042
no-decision	0.0748842
Three	0.0744978
error	0.0744581
series	0.0738102
"ground ball"	0.073802
career	0.0737033
"field goal"	0.0736714
comeback	0.0731286
"major league"	0.0731244
opener	0.0728166
playoff	0.0720679
interception	0.0720155
"one homer"	0.0718571
"wild pitch"	0.0712264
touchdown	0.0712143
game.	0.0711714
"first two"	0.0709365
"first appearance"	0.0707034
average	0.0705643
Yankee	0.0705131
seven	0.0701695
"Pro Bowls"	0.0700963
eight	0.0699276
overs	0.0698284
nine	0.0696691
chance	0.0694443
"fly ball"	0.0693851
"five homers"	0.0692599
fastball	0.0685698
Six	0.0680573
lineup	0.067675
ball	0.0676306
"second homer"	0.0675989
four	0.0674568
"free throw"	0.0670111
goal	0.0669193
Five	0.0667471
"over .@@@"	0.0659599
"left field"	0.0653872
rebound	0.0652702
"night game"	0.0647385
dodger	0.0647282
runner	0.0646801
"base hit"	0.0641822
era	0.0641272
"baseball game"	0.063443
slider	0.0633268
pinch-hit	0.0632575
pitcher	0.0632269
"right field"	0.0626743
swing	0.0623816
loss	0.0621171
wicket	0.0620878
stint	0.0620694
"spring training"	0.0619131
bullpen	0.0617235
workout	0.0616261
"second base"	0.061582
groundout	0.0612884
"first @@"	0.061221
"leading off"	0.0611678
Mets	0.0610112
"four homers"	0.0608958
sellout	0.0608819
foul	0.0607275
starter	0.0606081
"day of rest"	0.0601155
matchups	0.0600649
TDs	0.0600544
ace	0.059597
"Super Bowls"	0.0593873
top-@@	0.0591954
debut	0.0590324
ALCS	0.0590259
"American League"	0.0589456
two-out	0.0586854
season.	0.0585757
percentage	0.0585387
straight	0.0585375
miscue	0.0582204
triple-double	0.0580022
hole	0.0578977
bunt	0.0578229
outfield	0.057814
"third base"	0.0575983
Padre	0.0574265
"center field"	0.0572689
putt	0.0570454
round	0.0569879
"foul shot"	0.0567933
shortstop	0.0567244
catcher	0.0566184
ballgame	0.0565123
"All-Star Game"	0.056376
"Division Series"	0.0562617
"service break"	0.0561996
Mound	0.056178
ejection	0.0560432
downs	0.0559413
birdie	0.055851
curveballs	0.0556508
episode	0.0556163
safe	0.0555452
NL	0.0553819
NLCS	0.0553167
lifetime	0.0552804
"first base"	0.055268
"starting pitcher"	0.0552563
possession	0.0552549
slump	0.0552371
lap	0.0550971
McGwire	0.0549947
changeup	0.0548045
"World Cups"	0.0543676
brave	0.0543611
preseason	0.0543133
stretch	0.0542395
"extra inning"	0.0539213
pennant	0.0537741
"American League Championship Series"	0.0537428
"pinch hitter"	0.0536987
"Andruw Jones"	0.0536765
overall	0.0535374
"National League"	0.0532359
finale	0.0530786
"breaking ball"	0.0526302
"losing streak"	0.0523455
reliever	0.0520956
concussion	0.0520428
"Red Sox"	0.0518493
"minor league"	0.0517337
yard	0.0516455
))
(ATA (desc 2119.87) (sims
MTI	0.279088
Antara	0.262182
Notimex	0.240967
Angop	0.237773
WAM	0.227404
"Agence France Presse"	0.225189
Lusa	0.224829
Ansa	0.223441
BS	0.215495
"Business Times"	0.201267
"Straits Times"	0.196953
Petra	0.19568
Tass	0.192851
KPL	0.19016
Sowetan	0.187903
RSS	0.187202
Bernama	0.183291
"Ghana News Agency"	0.182486
"Indonesian Observer"	0.180993
"Kyodo News Service"	0.179656
APA	0.17947
"Saudi Press Agency"	0.176227
Tanjug	0.175911
"Korean Central News Agency"	0.173755
Kyodo	0.17171
"Moscow Times"	0.170476
"Kathmandu Post"	0.169662
Noticias	0.169528
"Kyodo News"	0.168535
Jana	0.166004
IRNA	0.164635
"Egyptian Middle East News Agency"	0.164308
AFP	0.163817
"Southern African Broadcasting Association"	0.163531
"Khaleej Times"	0.16268
"Daily Times"	0.161064
"U.S. Labor Department"	0.16081
"Philippine News Agency"	0.159336
MENA	0.158848
"Zambia News Agency"	0.158464
"Tehran Times"	0.158249
"Egyptian Gazette"	0.158237
"China Daily Business Weekly"	0.15783
"Post Express"	0.156607
Anatolia	0.156252
"Business Day"	0.153679
"New Nigerian"	0.150136
"Thai News Agency"	0.147942
"Radio Uganda"	0.147826
"Kenya Times"	0.147648
SAPA	0.147064
"Al Ahram"	0.143367
"Cyprus News Agency"	0.141274
Haaretz	0.140383
"Associated Press of Pakistan"	0.140215
"Ethiopian Herald"	0.139595
"East African Standard"	0.139271
"Financial Mail"	0.138933
"United Press International"	0.138669
"Kuwait News Agency"	0.1379
"Rwanda News Agency"	0.137743
"Australian Associated Press"	0.137239
"Daily Star"	0.136886
"South China Morning Post"	0.136394
"Zimbabwe News Agency"	0.135892
"Iraqi News Agency"	0.135407
"Agence France-Presse"	0.135178
"Macao Daily News"	0.134989
"Alam Al Yom"	0.134537
"News Agency of Nigeria"	0.132256
"ALMA ATA"	0.131576
"Vietnam News Agency"	0.130776
"Ethiopian News Agency"	0.130245
"New Vision"	0.12973
"Vietnam News"	0.12859
"Beijing Daily"	0.128539
"Athens News Agency"	0.128519
"Press Trust of India"	0.128029
"Jordan Times"	0.127856
"British Broadcasting Corporation"	0.127357
"Dow Jones Newswires"	0.12626
"Seattle Times"	0.125191
Malaya	0.125155
INA	0.125121
"Islamic Republic News Agency"	0.124521
"Turkish Daily News"	0.124421
"Jakarta Post"	0.123872
"Daily Nation"	0.123722
PAP	0.123718
"National Association of Realtors"	0.123153
"Sydney Morning Herald"	0.122229
"Business Weekly"	0.121797
TT	0.121291
CNA	0.121245
Kommersant	0.121094
"Jerusalem Post"	0.118815
"Nihon Keizai Shimbun"	0.118265
"El Pais"	0.11665
"Zambia Daily Mail"	0.115296
Reuters	0.114697
"East African"	0.114618
APP	0.114277
"Anatolia News Agency"	0.113504
"The Monitor"	0.113248
Interfax	0.113202
"Antara News Agency"	0.112993
"Iran News"	0.112332
"Bangkok Post"	0.112307
PTI	0.112111
"Wine Institute"	0.112068
Hurriyet	0.11201
RIAA	0.111068
"Yomiuri Shimbun"	0.110166
"Israel Radio"	0.110031
"Middle East News Agency"	0.109934
Itar-Tass	0.10993
"Al Hayat"	0.108616
dem	0.107501
"The New Vision"	0.107365
KUNA	0.106693
"Le Figaro"	0.106602
Alma-Ata	0.106453
Sana	0.106288
"Gulf News"	0.106267
beta	0.105923
"Washington Times"	0.105707
"Daily Mail"	0.105539
"China Youth Daily"	0.103976
Salam	0.103805
"South African Press Association"	0.1034
"Wenhui Daily"	0.103235
IEA	0.101763
"Detroit News"	0.101009
al-Hayat	0.100082
Maariv	0.0996247
"Nihon Keizai"	0.0974082
CTV	0.0967612
CSC	0.0961879
Eurostat	0.096101
Al-Ahram	0.095948
"El Mundo"	0.0958272
"Le Monde"	0.0956544
DFB	0.0955628
"Statistics Canada"	0.0949066
Dominion	0.0948544
"Boston Herald"	0.0944889
"New Straits Times"	0.0944177
"Xinhua News Agency"	0.0928926
"press agency"	0.0925632
"Information Center"	0.0924503
PNP	0.0921373
"Conference Board"	0.0917917
SAA	0.0905916
"Daily Telegraph"	0.090401
"New Light"	0.0901931
"Guangming Daily"	0.0900786
NSC	0.0898944
"Detroit Free Press"	0.0882644
SSB	0.0882101
Asahi	0.0881318
Asda	0.0878726
NHK	0.0876921
sid	0.0874068
"Asahi Shimbun"	0.0869859
F.A	0.0869082
"U.S. Commerce Department"	0.0866758
EOHR	0.0866039
RNA	0.0862972
"Koha Ditore"	0.0862939
Spiegel	0.0862068
ITC	0.0855674
CWA	0.0842867
"American Petroleum Institute"	0.0839607
IPU	0.083895
"New York Daily News"	0.0835796
"Der Spiegel"	0.0832433
NTV	0.0831699
ABS-CBN	0.0824993
RCN	0.0808278
IDB	0.0806533
Inquirer	0.0806063
"Dallas Morning News"	0.0801301
Granma	0.0796898
DNR	0.0794715
"Beijing Youth Daily"	0.0792741
MPAA	0.0791857
"British Foreign Office"	0.0783188
COSATU	0.0778726
UPI	0.0770681
UPU	0.0769332
Reforma	0.0768747
"EU Commission"	0.0766966
"Bashkim Fino"	0.0760387
L'Equipe	0.0759961
"Philadelphia Inquirer"	0.075785
NiSource	0.0756855
AOC	0.0754376
MTA	0.0752806
"Yediot Ahronot"	0.0752765
"Jerusalem Media and Communication Center"	0.0752428
))
("Atal Behari Vajpayee" (desc 7271.07) (sims
"Atal Bihari Vajpayee"	0.377369
"Inder Kumar Gujral"	0.35636
"I.K Gujral"	0.274895
"Deve Gowda"	0.271281
Vajpayee	0.26444
"Chuan Leekpai"	0.233331
"Nawaz Sharif"	0.232669
"H.D Deve Gowda"	0.227194
"Chavalit Yongchaiyudh"	0.22443
"Benazir Bhutto"	0.224097
Gujral	0.21939
"Sheikh Hasina"	0.21674
"Romano Prodi"	0.213499
"Bashkim Fino"	0.2116
"Mesut Yilmaz"	0.209086
"Mikulas Dzurinda"	0.206254
Hasina	0.206008
"Jerzy Buzek"	0.203972
"Necmettin Erbakan"	0.20084
"Bulent Ecevit"	0.20005
"Lamberto Dini"	0.197829
"Lokendra Bahadur Chand"	0.195198
"Yoshiro Mori"	0.192807
"Jean Chretien"	0.18991
"Ivan Kostov"	0.18926
"John Howard"	0.186943
"Frederick Sumaye"	0.185734
"Jose Maria Aznar"	0.185624
"Ryutaro Hashimoto"	0.184003
"Than Shwe"	0.182082
"Mahathir Mohamad"	0.181175
"Meles Zenawi"	0.180958
"Binyamin Netanyahu"	0.18042
"Jenny Shipley"	0.180393
"Pascoal Mocumbi"	0.179398
"Pandeli Majko"	0.179172
"Costas Simitis"	0.17905
"John Major"	0.178413
"Wim Kok"	0.177653
"Rafik Hariri"	0.177362
"Jaswant Singh"	0.177281
"Goh Chok Tong"	0.176336
"Salim Hoss"	0.175623
"Keizo Obuchi"	0.175275
"Wlodzimierz Cimoszewicz"	0.175055
"Bertie Ahern"	0.174631
Dehaene	0.17454
"Lionel Jospin"	0.174329
"Goran Persson"	0.174327
"Ismail Cem"	0.170973
"Kamal Kharrazi"	0.170063
"Fatos Nano"	0.168871
al-Sahhaf	0.168624
"P.V Narasimha Rao"	0.168035
"Girija Prasad Koirala"	0.167416
"Sher Bahadur Deuba"	0.166898
"John Bruton"	0.165923
"Tang Jiaxuan"	0.16544
"Milos Zeman"	0.165009
"Yevgeny Primakov"	0.164713
"Tansu Ciller"	0.163717
el-Ganzouri	0.162909
Koirala	0.162286
Deuba	0.161075
"Valery Pustovoitenko"	0.160813
"Atef Obeid"	0.160723
"Radu Vasile"	0.160356
"Shimon Peres"	0.159838
"Vo Van Kiet"	0.159482
"Alain Juppe"	0.158522
Chuan	0.158314
"Khaleda Zia"	0.156616
"Phan Van Khai"	0.154585
"Vaclav Klaus"	0.152961
"Igor Ivanov"	0.1521
Pangalos	0.151475
"Zhu Rongji"	0.150824
"Ehud Barak"	0.150309
"William Cohen"	0.149603
"Viktor Chernomyrdin"	0.149324
"Ariel Sharon"	0.148002
"Sergei Kiriyenko"	0.147553
"Paavo Lipponen"	0.147351
"Tony Blair"	0.146664
"Antonio Guterres"	0.146629
al-Bashir	0.146139
Sharif	0.146009
Lipponen	0.145938
"Sergei Stepashin"	0.144885
"Begum Khaleda Zia"	0.144517
"President Kim Dae-jung"	0.144403
Erbakan	0.143739
Ecevit	0.143642
Hashimoto	0.143619
Simitis	0.143313
"Krishna Prasad Bhattarai"	0.143303
"Helen Clark"	0.143141
Kharrazi	0.142085
"Amr Moussa"	0.141395
"Benjamin Netanyahu"	0.139307
"Yitzhak Mordechai"	0.138044
"Abdul Karim Kabariti"	0.137821
"Natan Sharansky"	0.137603
"Jacques Chirac"	0.137549
Moi	0.137523
"Igor Sergeyev"	0.137249
"John Prescott"	0.136466
"Tariq Aziz"	0.135642
"David Levy"	0.135311
Dini	0.134813
Komura	0.134025
el-Bashir	0.133359
"Yasser Arafat"	0.133313
"Hun Sen"	0.133295
"Prime Minister Kamal El-Ganzouri"	0.133228
Majali	0.132382
Chavalit	0.132217
Kuchma	0.131895
"Vladimir Putin"	0.131393
"Li Peng"	0.130903
"Yossi Sarid"	0.130863
"Sonia Gandhi"	0.130826
"Kim Yong Nam"	0.130585
Demirel	0.129612
Mahathir	0.128982
Phieu	0.128713
"George Robertson"	0.128126
"Abdullah Ahmad Badawi"	0.127391
"President Kim Young-sam"	0.127286
"Jordanian King Abdullah Bin Hussein"	0.127008
Mkapa	0.126945
"Gulbuddin Hekmatyar"	0.126928
D'Alema	0.126713
Hariri	0.126514
Musharraf	0.126274
Aziz	0.126029
"Hubert Vedrine"	0.125278
Goh	0.125268
Nazarbayev	0.125167
Clerides	0.124537
Chirac	0.123612
"Kofi Annan"	0.123498
Chretien	0.123025
Kumaratunga	0.122231
Scalfaro	0.122048
Jospin	0.122016
"Pakalitha Mosisili"	0.12185
"Paul Keating"	0.121717
Ahern	0.121328
al-Khatib	0.121246
"Qian Qichen"	0.121008
"Tomiichi Murayama"	0.120534
Rifkind	0.120225
Dae-jung	0.120058
Yilmaz	0.119631
Khaddam	0.119498
"Vuk Draskovic"	0.119092
Mubarak	0.119067
Chand	0.119029
Al-Thani	0.119003
Abubakar	0.118503
Denktash	0.118361
"Vladimir Meciar"	0.117849
al-Shara	0.11768
Khatami	0.117258
"Jiang Zemin"	0.117177
al-Sharaa	0.116991
Meles	0.116932
Gaddafi	0.116585
"Saeb Erekat"	0.116361
"Gerry Adams"	0.115821
"David Trimble"	0.115732
al-Assad	0.115477
Kinkel	0.1149
"Hosni Mubarak"	0.114696
"Secretary General Esmat Abdel-Meguid"	0.114627
"Prime Minister Banharn Silpa-Archa"	0.114587
"Suleyman Demirel"	0.1145
Lukashenko	0.114481
"Momir Bulatovic"	0.114275
"Mikhail Kasyanov"	0.114233
"Ernesto Zedillo"	0.114104
Aznar	0.114093
"de Charette"	0.113757
Rakhmonov	0.113026
Cem	0.11302
Primakov	0.112987
Pustovoitenko	0.112746
"finance minister"	0.112627
Chiluba	0.112477
Zhu	0.112464
"Bill Skate"	0.112369
"Khin Nyunt"	0.112289
Banharn	0.112287
Al-Sabah	0.112186
"King Abdullah II"	0.112134
"Viktor Orban"	0.111675
Qian	0.111254
"Javier Solana"	0.111233
Vedrine	0.111162
"William Perry"	0.110964
"Moammar Gadhafi"	0.110685
"Ibrahim Rugova"	0.110613
Mugabe	0.110488
"Victor Chernomyrdin"	0.110451
Ivanov	0.110426
Arafat	0.110352
Prodi	0.110136
"Mahmoud Zouebi"	0.110031
"Robin Cook"	0.109935
"Megawati Soekarnoputri"	0.10971
"Ung Huot"	0.109649
Ciller	0.109636
Mandela	0.109343
Kabariti	0.109241
Luong	0.109008
"Fernando Henrique Cardoso"	0.108905
"Sartaj Aziz"	0.108864
Museveni	0.108538
Rafsanjani	0.108231
"Klaus Kinkel"	0.108067
"Tim Fischer"	0.107859
"King Abdullah"	0.107818
Nujoma	0.107786
"Minister Shlomo Ben-Ami"	0.107781
Shevardnadze	0.107593
Barak	0.107194
Shareh	0.107127
"Ricardo Alarcon"	0.106977
Ikeda	0.106868
Chernomyrdin	0.106524
Blair	0.106459
"Yoweri Museveni"	0.106326
Obuchi	0.105662
"Kiichi Miyazawa"	0.105641
"Gennady Zyuganov"	0.105534
"Prince Saud Al-Faisal"	0.105527
"deputy foreign minister"	0.105517
Weizman	0.104917
Guterres	0.104554
Wahid	0.104509
"Chea Sim"	0.104489
Sergeyev	0.104422
"Abdul Salam Majali"	0.104412
Camdessus	0.104297
"Kim Jong Il"	0.104174
"Norodom Ranariddh"	0.103885
al-Hariri	0.103853
Solana	0.103781
Alatas	0.103672
Wiranto	0.103649
Brundtland	0.103521
Karimov	0.103394
"William Hague"	0.103298
Moussa	0.103158
Netanyahu	0.102951
"Chi Haotian"	0.102946
Ranariddh	0.102926
"Boris Yeltsin"	0.102877
"Chief Executive Tung Chee-hwa"	0.102777
Vollebaek	0.102699
"Carlos Menem"	0.102574
Bolger	0.102564
Annan	0.102418
"Laurent Kabila"	0.102283
Rabbani	0.102106
"Alexander Shokhin"	0.101993
Ahtisaari	0.101864
Stoyanov	0.101774
"King Fahd"	0.101741
"Rajiv Gandhi"	0.101499
"Massimo D'Alema"	0.101369
Ganzouri	0.101352
Chissano	0.10092
Bhutto	0.100828
"Yuri Maslyukov"	0.100761
Rugova	0.100507
"Lee Kuan Yew"	0.100166
Mori	0.100113
emir	0.100097
"Vojislav Seselj"	0.100013
))
("Atal Bihari Vajpayee" (desc 11642.3) (sims
"Atal Behari Vajpayee"	0.377369
"Inder Kumar Gujral"	0.330793
Vajpayee	0.314406
"I.K Gujral"	0.263022
"Nawaz Sharif"	0.250293
"Chuan Leekpai"	0.24874
"Jean Chretien"	0.231846
"Benazir Bhutto"	0.22933
"Deve Gowda"	0.224493
"Sheikh Hasina"	0.221779
"Mesut Yilmaz"	0.217088
"Yoshiro Mori"	0.214
"Romano Prodi"	0.212336
"Bulent Ecevit"	0.21161
"H.D Deve Gowda"	0.208952
"Rafik Hariri"	0.206307
"John Howard"	0.204076
"Necmettin Erbakan"	0.203472
"Costas Simitis"	0.202815
"Keizo Obuchi"	0.201813
"Meles Zenawi"	0.201366
"John Major"	0.200398
Gujral	0.199694
"Mahathir Mohamad"	0.198645
"Ryutaro Hashimoto"	0.198603
"Yevgeny Primakov"	0.197005
"Ivan Kostov"	0.196316
"Lamberto Dini"	0.196095
"Goh Chok Tong"	0.19605
"Salim Hoss"	0.195167
"Phan Van Khai"	0.195099
"Lionel Jospin"	0.194426
"Chavalit Yongchaiyudh"	0.192574
"Jose Maria Aznar"	0.191576
"Binyamin Netanyahu"	0.190418
"Lokendra Bahadur Chand"	0.190084
"William Cohen"	0.189934
Moi	0.18618
"Atef Obeid"	0.186148
"Tang Jiaxuan"	0.184693
"Jerzy Buzek"	0.184685
"Wlodzimierz Cimoszewicz"	0.184109
"Vo Van Kiet"	0.183091
"President Kim Dae-jung"	0.18144
"Girija Prasad Koirala"	0.181203
"Bashkim Fino"	0.180932
"John Bruton"	0.179238
"Valery Pustovoitenko"	0.176545
"Pandeli Majko"	0.175781
Hasina	0.175736
"Jaswant Singh"	0.175322
"Viktor Chernomyrdin"	0.174376
"Antonio Guterres"	0.172846
Sharif	0.170735
Chirac	0.170489
"Mikulas Dzurinda"	0.170112
"Benjamin Netanyahu"	0.169721
"Jenny Shipley"	0.16853
"Ehud Barak"	0.167994
"Pascoal Mocumbi"	0.166246
"Tony Blair"	0.165896
"Sher Bahadur Deuba"	0.163612
"Kamal Kharrazi"	0.162587
"Frederick Sumaye"	0.162211
el-Ganzouri	0.160514
"Radu Vasile"	0.1601
"Hubert Vedrine"	0.15716
"Igor Ivanov"	0.157084
"Vaclav Klaus"	0.156833
Abubakar	0.156367
"Alain Juppe"	0.155912
Mubarak	0.155843
"Bertie Ahern"	0.155592
"Goran Persson"	0.154795
"Sergei Kiriyenko"	0.15475
al-Sahhaf	0.15456
Aziz	0.154479
Chuan	0.154324
"Wim Kok"	0.154191
"Shimon Peres"	0.154181
"Li Peng"	0.15411
Dehaene	0.153402
Jospin	0.151979
Kharrazi	0.151664
"William Perry"	0.151332
Koirala	0.151043
"Tansu Ciller"	0.150659
Nazarbayev	0.150274
Hariri	0.149883
Kuchma	0.149855
"Igor Sergeyev"	0.149073
"Vladimir Putin"	0.14895
al-Bashir	0.148543
"Kofi Annan"	0.148355
"Jordanian King Abdullah Bin Hussein"	0.148237
Primakov	0.147793
"Hun Sen"	0.147528
"Than Shwe"	0.147487
"Milos Zeman"	0.147192
"Jacques Chirac"	0.147119
"Zhu Rongji"	0.145954
"Tariq Aziz"	0.145899
Ecevit	0.145743
"Amr Moussa"	0.145046
Simitis	0.144867
"Abdullah Ahmad Badawi"	0.144447
"Yasser Arafat"	0.143987
Clerides	0.143947
"George Robertson"	0.143559
"Paavo Lipponen"	0.143462
"P.V Narasimha Rao"	0.143173
Hashimoto	0.143149
Demirel	0.14303
"Javier Solana"	0.14265
"Ismail Cem"	0.142062
al-Assad	0.141473
"Prime Minister Kamal El-Ganzouri"	0.141438
"Hosni Mubarak"	0.140911
Chretien	0.140582
"Fatos Nano"	0.139721
Annan	0.138979
Mandela	0.138704
"President Kim Young-sam"	0.138643
"Abdul Karim Kabariti"	0.138327
"Qian Qichen"	0.137948
"Sergei Stepashin"	0.136973
"Gulbuddin Hekmatyar"	0.136507
Arafat	0.136424
"Khaleda Zia"	0.136392
Mugabe	0.136025
Alatas	0.135574
Mbeki	0.135244
al-Shara	0.13523
"Prime Minister Banharn Silpa-Archa"	0.134303
Habibie	0.134055
Chancellor	0.134015
Scalfaro	0.134005
Lukashenko	0.133927
Khatami	0.133652
"Momir Bulatovic"	0.133619
"deputy foreign minister"	0.133457
Pangalos	0.132575
"finance minister"	0.132548
"David Levy"	0.132099
al-Khatib	0.132004
"secretary of state"	0.131798
"Chief Executive Tung Chee-hwa"	0.131793
Deuba	0.131707
Albright	0.131204
Mahathir	0.130965
Obuchi	0.130817
Barak	0.130528
Chernomyrdin	0.130355
Blair	0.130172
"Saudi King Fahd Ibn Abdul-Aziz"	0.129216
el-Bashir	0.129141
al-Sharaa	0.129122
Schroeder	0.129115
Goh	0.129028
Premier	0.128993
Wahid	0.128872
Musharraf	0.12883
"Paul Keating"	0.128813
"Saeb Erekat"	0.128699
"Suleyman Demirel"	0.128405
"Jiang Zemin"	0.128096
Museveni	0.127959
"King Abdullah"	0.127886
"Mikhail Kasyanov"	0.127591
Yeltsin	0.12752
D'Alema	0.127354
Chavalit	0.127249
Majali	0.127199
"Helen Clark"	0.127195
"Ung Huot"	0.125879
Khamenei	0.125577
Zhu	0.125429
"Begum Khaleda Zia"	0.125081
Vedrine	0.124575
Denktash	0.124035
Cem	0.123891
Lipponen	0.123736
Yilmaz	0.123693
Erbakan	0.123685
Rua	0.12255
Al-Thani	0.122467
"Fernando Henrique Cardoso"	0.121982
Mkapa	0.121781
Stoyanov	0.12157
"Natan Sharansky"	0.121566
"Ariel Sharon"	0.121518
"Yitzhak Mordechai"	0.121433
"Robin Cook"	0.121185
"Klaus Kinkel"	0.121012
Prodi	0.120914
Phieu	0.120404
"Vladimir Meciar"	0.120356
Komura	0.120276
Shareh	0.120243
"Yossi Sarid"	0.120081
"foreign minister"	0.120041
Estrada	0.119859
"Boris Yeltsin"	0.119384
Lahoud	0.119321
Kabariti	0.119231
Velayati	0.119156
"Bill Richardson"	0.119035
"Sartaj Aziz"	0.118975
Netanyahu	0.118975
"Victor Chernomyrdin"	0.118926
al-Hariri	0.118794
"Ernesto Zedillo"	0.118232
Jiang	0.118189
Mori	0.118099
Bhattarai	0.118011
"Secretary General Esmat Abdel-Meguid"	0.117906
Boueiz	0.117765
"King Abdullah Bin Hussein"	0.117425
Talbott	0.11724
Ahern	0.116961
"King Hussein"	0.11692
Orban	0.116557
"Pope John Paul II"	0.11645
Kumaratunga	0.116093
Gaddafi	0.115937
"Fayez Tarawneh"	0.115599
"Megawati Soekarnoputri"	0.115401
Peres	0.115273
Axworthy	0.115073
Ivanov	0.11506
Moussa	0.114928
Chiluba	0.114878
Constantinescu	0.114865
Menem	0.114864
Aznar	0.114656
"Secretary General Esmat Abdul-Meguid"	0.114558
Qian	0.114232
Dae-jung	0.113904
"King Fahd"	0.113606
Sergeyev	0.11339
Klima	0.113088
Schuessel	0.112931
Rafsanjani	0.112488
Shipley	0.112461
"Jordanian King Hussein"	0.11228
Chissano	0.112139
Buzek	0.11182
Putin	0.111739
Khaddam	0.111609
"governor general"	0.111494
minister	0.11124
"Chea Sim"	0.110356
Rugova	0.110289
emir	0.110205
Shevardnadze	0.109733
"Kim Jong Il"	0.109565
"Ibrahim Rugova"	0.109423
Tung	0.109204
president-elect	0.109156
Camdessus	0.109147
Frei	0.108782
"Yuri Maslyukov"	0.108737
vice-president	0.108635
"Qiao Shi"	0.108628
"Sonia Gandhi"	0.108478
"Chi Haotian"	0.108454
"Tareq Aziz"	0.108404
"general secretary"	0.108196
"Tomiichi Murayama"	0.108194
"King Abdullah II"	0.107967
"King Norodom Sihanouk"	0.107786
Misuari	0.1075
Al-Sabah	0.107433
Kohl	0.107363
Abdullah	0.107304
"Tim Fischer"	0.107277
Rakhmonov	0.107043
Dini	0.106846
Meles	0.10669
Ciller	0.106591
"Gerry Adams"	0.106352
Assad	0.106292
Pastrana	0.10629
"crown prince"	0.106244
Chand	0.106151
"Prime Minister"	0.106015
Banharn	0.105802
Garang	0.105726
Muluzi	0.105594
Alarcon	0.105516
"Dalai Lama"	0.105199
Rifkind	0.105125
Vollebaek	0.105036
Koo	0.104743
"Amnuay Virawan"	0.104552
Nzo	0.104545
Fujimori	0.104477
"Tung Chee Hwa"	0.104469
"Norodom Ranariddh"	0.104381
Nujoma	0.104303
Bouteflika	0.104294
Kwasniewski	0.104248
"Krishna Prasad Bhattarai"	0.104036
"Ricardo Alarcon"	0.103729
"William Daley"	0.103718
"Prince Saud Al-Faisal"	0.103716
Samaranch	0.103528
Kinkel	0.103161
Rabbani	0.102857
Jayakumar	0.102781
Ranariddh	0.102317
Moratinos	0.102223
"King Birendra"	0.101916
"Abidine Ben Ali"	0.101913
Kagame	0.101642
Luong	0.101579
Ikeda	0.101435
Zeroual	0.101184
"Khin Nyunt"	0.10111
Granic	0.101089
Guterres	0.100913
"Robert Mugabe"	0.100792
Ambassador	0.100723
"Abdul Salam Majali"	0.100639
"Anwar Ibrahim"	0.100551
"Boris Nemtsov"	0.100495
"Minister Shlomo Ben-Ami"	0.100449
"Carlos Menem"	0.10035
))
(Atalanta (desc 1346.06) (sims
Torino	0.275048
Lecce	0.234372
Besiktas	0.15446
Empoli	0.151638
Fulham	0.141293
Udinese	0.140842
Bari	0.140466
"Athletic Bilbao"	0.140464
"Real Sociedad"	0.139819
"Slavia Prague"	0.129026
"Albert Portas"	0.128136
Verona	0.125687
Cagliari	0.124945
"Joannette Kruger"	0.124336
"Atletico Madrid"	0.12357
"Velez Sarsfield"	0.121647
"Paola Suarez"	0.121574
Necaxa	0.119597
"Olympique Marseille"	0.119081
"VfB Stuttgart"	0.119069
Sampdoria	0.118613
Perugia	0.116938
"Anne Kremer"	0.116873
"Schalke @@"	0.115444
"Leeds United"	0.114717
Benfica	0.114125
Galatasaray	0.113948
Anderlecht	0.113827
Brondby	0.113339
Panathinaikos	0.112801
"Hernan Gumy"	0.112465
Vicenza	0.111714
"Rainer Schuttler"	0.110597
"Arnaud Di Pasquale"	0.108885
"Nicolas Escude"	0.108025
Zamalek	0.107166
"Franco Squillari"	0.10642
Juventus	0.105154
"Florencia Labat"	0.104929
"Galo Blanco"	0.104852
"Magui Serna"	0.103667
"Richard Fromberg"	0.10341
Espanyol	0.102773
"Adrian Voinea"	0.102598
"Mariano Zabaleta"	0.10243
"Andreas Vinciguerra"	0.102215
"Nathalie Dechy"	0.101153
"Ramon Delgado"	0.100689
"Barbara Paulus"	0.100621
"Newcastle United"	0.100508
Venezia	0.10033
Olympiakos	0.100111
"Jerome Golmard"	0.0996253
"Marcelo Filippini"	0.0994868
"PSV Eindhoven"	0.0989822
"Andrei Pavel"	0.0989122
"Asa Carlsson"	0.0986803
"Red Star"	0.0985961
"Christian Ruud"	0.0984933
"Vincent Spadea"	0.0983937
"Ruxandra Dragomir"	0.0983686
Auxerre	0.0978062
"Arnaud Clement"	0.0975867
"Blackburn Rovers"	0.0974702
"Naoko Sawamatsu"	0.0971763
"Sarah Pitkowski"	0.0968702
"Catalina Cristea"	0.096562
"Tara Snyder"	0.0961539
"Nicole Pratt"	0.0960887
Palmeiras	0.0958176
Gremio	0.0955442
"San Lorenzo"	0.0948003
"Tatiana Panova"	0.094736
"Sebastien Grosjean"	0.0947284
"Judith Wiesner"	0.094643
Obilic	0.0946362
Cruzeiro	0.0943829
"Renzo Furlan"	0.0943025
"Kveta Hrdlickova"	0.0941378
"Karim Alami"	0.0937435
Fiorentina	0.0935847
Feyenoord	0.093512
Valladolid	0.0930164
"Celta Vigo"	0.0928562
"Arnaud Boetsch"	0.0923651
"Fabrice Santoro"	0.0913701
Independiente	0.0913351
"Els Callens"	0.0910341
"Silvia Farina"	0.0909858
"Younes El Aynaoui"	0.0909185
"Mikael Tillstrom"	0.0905359
"Sargis Sargsian"	0.090301
"Sabine Appelmans"	0.0902157
"Jonathan Stark"	0.089465
Napoli	0.0890772
"Xavier Malisse"	0.0886326
"Coventry City"	0.0885687
"Barbara Rittner"	0.0880491
"Magdalena Maleeva"	0.0877765
Bayern	0.0874271
Salernitana	0.0872611
"Richey Reneberg"	0.0872307
Metz	0.0869617
"Hicham Arazi"	0.0864287
"Miriam Oremans"	0.0862053
Kaiserslautern	0.0854948
"Javier Sanchez"	0.0853733
"Real Betis"	0.0844268
"Neville Godwin"	0.084375
Bologna	0.0842038
"Sergi Bruguera"	0.0841944
Betis	0.0841682
"AC Parma"	0.0836862
Rosenborg	0.0833918
"Amy Frazier"	0.0830848
"Alexandra Fusai"	0.0829045
"Carlos Costa"	0.0828797
"Elena Likhovtseva"	0.0828119
"Spartak Moscow"	0.0826123
"Barbara Schwartz"	0.0825552
Bastia	0.0822867
Andorra	0.0819987
Tenerife	0.0818783
"Davide Sanguinetti"	0.081723
"Boca Juniors"	0.0817222
AEK	0.0812792
Valencia	0.0811822
"Crystal Palace"	0.0809695
"Daniel Nestor"	0.0806946
Sunderland	0.0806761
"Gianluca Pozzi"	0.0805884
"Magnus Gustafsson"	0.0801772
"Albert Costa"	0.0795396
Celta	0.079161
"Leicester City"	0.0789829
"AEK Athens"	0.0788454
Penarol	0.0783336
"Denisa Chladkova"	0.0783011
Fenerbahce	0.0780617
Parma	0.0778448
"Shanghai Shenhua"	0.0777112
"Mariano Puerta"	0.0773116
Nacional	0.0772559
"Kenneth Carlsen"	0.0772325
"Jeff Tarango"	0.0770614
"Mirjana Lucic"	0.0769855
"Inter Milan"	0.0769583
"Dominique Van Roost"	0.0768232
"Guillaume Raoux"	0.0766434
"Jason Stoltenberg"	0.0763074
"Jennifer Capriati"	0.0762376
"Borussia Moenchengladbach"	0.0761199
"Sjeng Schalken"	0.0757189
PSG	0.0756045
"Roger Federer"	0.075155
Raja	0.0751264
"Filip Dewulf"	0.0749352
"Wayne Black"	0.0748447
"Scott Draper"	0.0746791
Barnsley	0.0742972
"Werder Bremen"	0.0741992
"Chris Woodruff"	0.0741397
"Karina Habsudova"	0.0740447
"Grant Stafford"	0.0739504
"MaliVai Washington"	0.0731219
"Marcos Ondruska"	0.072602
"Guangzhou Apollo"	0.0724889
"Adriana Gersi"	0.0723342
"Partizan Belgrade"	0.0721148
"Aston Villa"	0.0720793
"Francisco Clavet"	0.0718587
"Bayer Leverkusen"	0.0718003
"Hidetoshi Nakata"	0.0717946
"Rita Grande"	0.0715354
Everton	0.0715265
Internazionale	0.0712346
Liverpool	0.0708835
"Leander Paes"	0.0705913
"Kinder Bologna"	0.0703714
"Juan Antonio Marin"	0.0701752
"Henrieta Nagyova"	0.0700808
"David Prinosil"	0.0699596
"Guy Forget"	0.0698746
"Cara Black"	0.0698168
"Tommy Haas"	0.0698006
"Andrew Ilie"	0.0697905
Leeds	0.069788
"Slava Dosedel"	0.0697334
PAOK	0.0697195
"River Plate"	0.0696612
"Tottenham Hotspur"	0.0695082
Flamengo	0.0694864
"Borussia Dortmund"	0.0691703
"Andrei Medvedev"	0.0690336
"Dalian Wanda"	0.0688619
"Kimberly Po"	0.06883
"Justin Gimelstob"	0.0687437
"Colo Colo"	0.0687348
Swardt	0.0687317
"Alberto Berasategui"	0.0686351
))
(Atambua (desc 2684.09) (sims
"West Timor"	0.182862
Kupang	0.177257
Beersheba	0.141002
Mazar-i-Sharif	0.134708
Vladikavkaz	0.129299
Makhachkala	0.121933
Ashkelon	0.120873
Srbica	0.119419
Uvira	0.118549
Posoltega	0.117517
Lhokseumawe	0.116811
Kukes	0.116234
Gudermes	0.11545
"East Nusa Tenggara"	0.114345
Ballymoney	0.111718
Luxor	0.110201
Ramallah	0.108098
Chamonix	0.103316
Mazar-e-Sharif	0.103039
Kigoma	0.102244
Talipao	0.0997955
Juba	0.0997134
Kuito	0.099417
Multan	0.0993421
Batticaloa	0.0990437
Marjayoun	0.0989752
Kismayu	0.0983852
"Banja Luka"	0.0979202
PEC	0.0975638
Kalemie	0.0970389
Cartagena	0.0961535
Kandy	0.0957466
Makeni	0.0955016
Bukavu	0.0937316
Trincomalee	0.0935521
Baalbek	0.0932422
Jaffna	0.0921702
Rafah	0.091892
Mankulam	0.0917315
Kizlyar	0.09164
Bengkulu	0.0910546
Cairns	0.0907196
Peshawar	0.0905631
Kandahar	0.0903318
"Mazari Sharif"	0.089539
Gulu	0.089407
Ambon	0.0891972
Mitrovica	0.0891258
"Port Moresby"	0.0890717
Baoding	0.0888668
"North Ossetia"	0.0875419
Jalalabad	0.0871746
Kilinochchi	0.087122
Warri	0.0869865
Cotabato	0.0868255
Urosevac	0.0862581
Izmit	0.0854771
Pailin	0.0853676
"Kigoma Region"	0.084638
Jingdezhen	0.084515
"Albanian capital"	0.0843259
Hempstead	0.0842581
Baidoa	0.0842072
Kisangani	0.0838675
Goma	0.0827502
Murmansk	0.0821752
Orahovac	0.0817396
"CHIANG MAI"	0.0815657
Vitoria	0.0811545
Guayaquil	0.0811511
Diyarbakir	0.0810749
"Kosovska Mitrovica"	0.0808269
Huambo	0.0803026
Taloqan	0.0802818
"Port Elizabeth"	0.0802021
Nago	0.0800428
Ingushetia	0.0800358
Omagh	0.0799749
Matadi	0.0798593
Jericho	0.079718
Dili	0.0793746
Tbilisi	0.0793276
Limassol	0.0792487
"San Pedro Sula"	0.0791528
Tokaimura	0.079132
Haicheng	0.0788283
Karachi	0.0787987
Medellin	0.0787959
Gnjilane	0.0787701
Shiraz	0.0783613
Lubumbashi	0.0783504
Ensenada	0.0775546
Skopje	0.0773754
Brcko	0.077029
"Suva Reka"	0.0769631
Racak	0.0767787
BASEL	0.076655
Casas	0.0765491
Mostar	0.0763204
Tachilek	0.0759575
Halle	0.0759277
Kisumu	0.0757289
Riyadh	0.075706
Jolo	0.0756081
Durres	0.0752984
Vavuniya	0.0750591
Dundalk	0.0749385
Nablus	0.0749221
Odessa	0.0748881
Kabul	0.0741955
"La Paz"	0.0741178
Princeville	0.0739176
Srinagar	0.0736286
"Nuevo Laredo"	0.0733842
Surabaya	0.0730931
Brazzaville	0.0730835
Gisenyi	0.0730058
Haifa	0.072618
Buldon	0.0724792
Larnaca	0.0724631
Baotou	0.0721809
Djakovica	0.072007
Bushehr	0.0718759
"Gaza City"	0.0718431
Kailahun	0.0716228
Waterville	0.0716169
Nabatiyeh	0.0713161
Astana	0.070938
Blace	0.0707936
Nakuru	0.0705986
Vilnius	0.070458
Walkerton	0.0703664
Skaneateles	0.0700408
Pelham	0.0699989
Bissau	0.0693856
Khost	0.0693768
Hebron	0.0693518
Ismailia	0.0693385
Jezzine	0.0692919
Junik	0.0690606
Aceh	0.0690336
Manado	0.0689358
Sochi	0.0687982
Kanungu	0.0687847
Kitwe	0.0685486
Ghent	0.068492
Antwerp	0.068458
Pattaya	0.0682491
"Egyptian capital"	0.0681396
"Ciudad Juarez"	0.067782
Davao	0.0676514
Ndola	0.0674417
Durban	0.0673537
Basra	0.0668547
Batam	0.0666173
Panmunjom	0.0664522
Tuzla	0.0659884
Antalya	0.0659204
"Guatemala City"	0.0656393
Pereira	0.0656172
"Secretary General Esmat Abdel-Meguid"	0.0654221
"Del Rio"	0.0653329
Anshan	0.0653035
Waterloo	0.0652385
Bamiyan	0.0651996
Jiujiang	0.0651769
Vedeno	0.0650537
Chittagong	0.0650264
"Novi Sad"	0.0648928
Muscat	0.0648489
Kaduna	0.0646636
Shashi	0.0645267
"San Sebastian"	0.0644077
"Democratic Republic of the Congo"	0.0641614
Rawalpindi	0.0634542
Leskovac	0.0633493
Taba	0.0632439
Podgorica	0.0632435
Izmir	0.0630275
Bethlehem	0.0628578
"Wichita Falls"	0.0627887
Mosul	0.0626228
Mombasa	0.0625728
Catania	0.0625316
"Anlong Veng"	0.0624379
Kragujevac	0.0623639
Dunedin	0.0621767
NIS	0.0619716
Vlore	0.0618866
Jeddah	0.0618631
Aachen	0.0618522
Jayapura	0.0618355
Yogyakarta	0.0618076
"Port Arthur"	0.0617372
Bremen	0.0617358
Hastings	0.0613629
Wenzhou	0.0613384
Minsk	0.0613307
Tapachula	0.0613117
Cabinda	0.0612648
))
(Ataturk (desc 983.44) (sims
Durwood	0.0965689
Khomeini	0.0810606
Zapruder	0.0799139
Mao	0.0778434
Ingres	0.0774886
Stansted	0.0766561
"Genghis Khan"	0.0754713
Susann	0.0735469
Truffaut	0.0731462
Klestil	0.0724633
"Ayatollah Ruhollah Khomeini"	0.0702173
"Charles de Gaulle"	0.0680954
D'Alessandro	0.0679027
Malpensa	0.0678765
Nkomo	0.06694
Faison	0.0668596
PATNA	0.0663573
Gaulle	0.0663061
"Francisco Franco"	0.0660147
Soares	0.0647765
"Surat Thani"	0.0646289
Lenin	0.0631208
Miyazaki	0.0625404
Blackmun	0.061008
Fiorina	0.0605712
Havelange	0.0604718
Daft	0.0595061
Yat-sen	0.0586783
Ciampi	0.0577934
Plunkett	0.0576524
Zia	0.0571273
"Bruce Lee"	0.0561227
Costin	0.0560749
Kurosawa	0.0550793
Mehmet	0.0550438
Coelho	0.0550303
Oro	0.0549764
Hickman	0.0549085
Nkabinde	0.0546117
LaGuardia	0.053996
Luton	0.0531072
Salonica	0.0529016
"Mao Tse-tung"	0.0526533
Raduyev	0.0521295
Ruthardt	0.0520315
Aris	0.0520219
"Leonardo da Vinci"	0.0519484
Mahoney	0.0517765
Easley	0.0514984
Renoir	0.0511607
"Van Dyck"	0.0511366
Noriega	0.0510902
Sharjah	0.050774
Villalonga	0.0500059
"Montego Bay"	0.0498086
Tito	0.0497304
Coppola	0.04969
"Ayatollah Khomeini"	0.0496821
McEwan	0.0492835
Assab	0.0492117
"Hafez Assad"	0.0484874
Beye	0.0483415
Balanchine	0.0483278
Rideau	0.0482849
"Vincent van Gogh"	0.04827
castration	0.0478587
Chiang	0.0473455
Ekeus	0.0470366
Leibovitz	0.0470031
Shurmur	0.0466428
Nethercutt	0.0465469
Postel	0.0463745
Hindery	0.0462765
Darnell	0.0462432
Biko	0.0461744
Lawler	0.045772
Cory	0.0454143
Kilimanjaro	0.0451329
Paphos	0.0450955
Dahmer	0.0449373
Wasserman	0.0448806
Binion	0.0448777
Nyerere	0.0447697
"Di Canio"	0.0447597
Sealy	0.0446135
Tanaka	0.044608
Yarmila	0.0445498
Mae	0.0442973
Bertelli	0.0442931
Yoon	0.0440674
Norberg	0.0440385
Dandridge	0.0439035
Kouchner	0.0437948
Leventhal	0.0436872
Reyna	0.0434759
"John Kennedy Jr."	0.0433781
Tierney	0.0433387
Heade	0.043099
Puente	0.0429887
MQM	0.0429425
Masire	0.0425596
Nano	0.0425498
Hess	0.0425125
Gathers	0.0422531
Hewlett	0.0421607
Trudeau	0.0421172
Groening	0.0419452
Sayles	0.0418622
Robb	0.0416822
Ivester	0.0415844
Dudayev	0.0415008
Puzo	0.0412576
"Snake River"	0.0412545
FSA	0.0412442
"Jerry Garcia"	0.0411697
videophone	0.0409083
Pryor	0.0407198
Modigliani	0.0406815
Arron	0.0404666
Holzman	0.0404428
Tuinei	0.0403561
Slatkin	0.0403085
"United Technologies"	0.0401865
Larson	0.0400649
Arpaio	0.040021
))
(ATC (desc 1188.63) (sims
KPA	0.158752
TAZARA	0.129612
WEF	0.12636
USTA	0.116373
"U.S. Soccer Federation"	0.112169
ADL	0.111482
NLRB	0.110705
"Sdn Bhd"	0.109599
SFA	0.10892
FSA	0.106369
DEP	0.100808
"Malaysia Airlines"	0.0986202
INEC	0.0983864
Massport	0.0982692
GSS	0.0976232
SBA	0.0974912
NIC	0.094298
CAA	0.093905
Starwood	0.0934211
Aeroflot	0.0931132
"Kenyan Government"	0.093079
BOC	0.092552
JetBlue	0.0923232
"Ethiopian Airlines"	0.0911584
CCA	0.0910423
Cathay	0.0907815
"Air India"	0.090165
CSE	0.0891398
UNIDO	0.0877317
PATA	0.0876598
EBRD	0.0868229
TDC	0.0867313
CAAC	0.0862308
AOC	0.0862123
Wada	0.0856415
MEA	0.085108
"Times Co."	0.0850075
Garuda	0.0844995
F.A	0.0839495
"Kenya Airways"	0.0830886
CFTC	0.0828552
"Housing Authority"	0.0823564
CPSC	0.0817865
BLM	0.0815758
GEC	0.08137
"Thermo Electron"	0.0810851
CIRC	0.0805345
"Australian Olympic Committee"	0.0804856
CBK	0.0804583
IPU	0.0803325
PUC	0.0802542
Airways	0.0797465
NRC	0.0796291
SEPA	0.0793447
JMC	0.0792653
PBA	0.0789801
PSG	0.0782954
"Public Security Ministry"	0.0780228
COSCO	0.0776422
Nepa	0.0768942
ICA	0.0765727
ACB	0.0758516
Hambrecht	0.0751295
NASD	0.0748418
CMA	0.0746657
Dragonair	0.0745754
TDB	0.0741127
FIA	0.0741082
OCA	0.0739205
CMAG	0.0739162
C-USA	0.073839
Eskom	0.0736293
Lucasfilm	0.0729821
ACFTU	0.072961
IAAF	0.072948
RWE	0.0727812
"International Skating Union"	0.0720669
NHRA	0.072029
Transamerica	0.0719319
iTV	0.0718737
ISU	0.0718143
Telkom	0.071514
BSO	0.0714613
Scalfaro	0.0713925
EgyptAir	0.0711144
SMI	0.0704967
VENATOR	0.0703449
ITU	0.0703219
FAA	0.0702571
"Israeli Defense Forces"	0.0702276
NARAL	0.0701467
ZCCM	0.0701099
Chris-Craft	0.0699021
BOI	0.0698387
PCC	0.0697814
OPIC	0.0697293
"Burlington Northern"	0.0696697
Generali	0.069563
GANNETT	0.0693917
magpie	0.0691883
Northpoint	0.0689737
Qantas	0.0685069
TRC	0.068437
"Korean Air"	0.068337
NiSource	0.0683282
"Boys Ranch"	0.0681643
OSHA	0.0680957
"Social Security Administration"	0.0678034
"De Beers"	0.0677847
REPSOL	0.0676597
NHTSA	0.0673195
"Lahore High Court"	0.0672131
AIRTRAN	0.0670837
JAT	0.067039
"Vietnam Airlines"	0.0666947
"Australian Cricket Board"	0.0666907
Asa	0.0666258
IEC	0.0664662
CEC	0.0663866
"Niagara Mohawk"	0.0663146
Comelec	0.0662118
DSE	0.0661531
Daimler	0.0661469
PSC	0.0660812
VoiceStream	0.0660647
CCPIT	0.0658751
Kimbell	0.0658348
"Port Authority"	0.0656293
"Ask Jeeves"	0.0656184
ExciteAtHome	0.0654631
PNP	0.0653549
CHP	0.0652966
IBRA	0.0652665
Newhouse	0.0650364
ITF	0.0649688
"Fred Meyer"	0.0646103
VEBA	0.0645982
RNC	0.0644717
WFP	0.0643866
CSRC	0.0641147
"Board of Supervisors"	0.0637781
THA	0.0637537
"Hongkong Telecom"	0.0637007
"Gulf Air"	0.0635932
"British Airways"	0.0633198
"U.S. Administration"	0.063026
"patent office"	0.0630007
UFW	0.0629968
"Royal Bank"	0.0629958
NDP	0.0629432
"HBO &AMP; Co."	0.0629221
"Air Canada"	0.0628869
EarthLink	0.0626917
ARATS	0.0625698
"Tribune Co."	0.0623862
WEU	0.0623328
FEMA	0.062157
PETROBRAS	0.0619401
Deutsche	0.0619274
"US Airways"	0.0618139
"Senate Governmental Affairs Committee"	0.0617872
"Delta @"	0.0617676
Snipes	0.0616363
UCI	0.0616336
MPAA	0.0613138
ZIFF-DAVIS	0.061296
AMEX	0.061138
BOJ	0.0611169
DFB	0.0610907
"Advanced Micro"	0.0609438
"El Al"	0.0609285
Comsat	0.0607697
SDB	0.060748
KLM	0.0607307
YPF	0.0606739
"Financial Supervisory Agency"	0.0606133
"sales promotion"	0.0605995
"Drayton McLane Jr."	0.0605072
Corel	0.0604494
CUC	0.0604405
"Health Department"	0.0602496
"Macao Government"	0.0599628
CNPC	0.0598992
FTC	0.0598735
"Air France"	0.0598356
FA	0.0597788
SDP	0.0597438
personalization	0.0597215
NTSB	0.0597096
"Park Service"	0.0597049
NCR	0.0596706
CCB	0.0596284
Penney	0.0595469
NKP	0.0594518
"Russian Space Agency"	0.0594249
VICKERS	0.0593826
"New Covenant"	0.0593672
CSC	0.0592986
"Secretary General Boutros Boutros-Ghali"	0.0592869
CDB	0.0589688
))
("Atef Obeid" (desc 1901.46) (sims
"Prime Minister Kamal El-Ganzouri"	0.367782
el-Ganzouri	0.299842
"Valery Pustovoitenko"	0.270039
"Wlodzimierz Cimoszewicz"	0.258604
"Vo Van Kiet"	0.233859
"Radu Vasile"	0.233783
"Secretary General Esmat Abdel-Meguid"	0.231034
"Abdul Karim Kabariti"	0.228181
"Antonio Guterres"	0.224306
"Inder Kumar Gujral"	0.219894
"Rafik Hariri"	0.219503
"Costas Simitis"	0.215298
"Salim Hoss"	0.215285
"Saudi King Fahd"	0.215251
al-Shara	0.215148
"Deve Gowda"	0.215147
"Amr Moussa"	0.214939
"Ivan Kostov"	0.210008
"Paavo Lipponen"	0.207299
"Girija Prasad Koirala"	0.206867
al-Khatib	0.206634
al-Hariri	0.206474
"Pascoal Mocumbi"	0.20574
"Mikulas Dzurinda"	0.204879
"Suleyman Demirel"	0.20311
"Jerzy Buzek"	0.202666
"Jordanian King Abdullah Bin Hussein"	0.200071
"John Bruton"	0.200058
"Frederick Sumaye"	0.195246
"Chuan Leekpai"	0.194502
"Meles Zenawi"	0.1935
Simitis	0.192703
"Bashkim Fino"	0.189288
"Phan Van Khai"	0.188713
"Atal Bihari Vajpayee"	0.186148
al-Bashir	0.185758
"Lamberto Dini"	0.184826
"Goran Persson"	0.183233
al-Sahhaf	0.18247
Ganzouri	0.182032
"H.D Deve Gowda"	0.180856
"Hosni Mubarak"	0.178915
"Sheikh Hasina"	0.178313
"Wim Kok"	0.177245
"Prince Saud Al-Faisal"	0.176305
"Lokendra Bahadur Chand"	0.1762
"Bertie Ahern"	0.173978
"Mesut Yilmaz"	0.172188
Pangalos	0.170531
"Pandeli Majko"	0.170478
"Chavalit Yongchaiyudh"	0.16929
Moussa	0.168678
"Tang Jiaxuan"	0.168599
"Necmettin Erbakan"	0.167575
"King Hassan II"	0.167354
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.166773
"President Hafez Al-Assad"	0.166738
"Kamal Kharrazi"	0.166206
"Abdul Salam Majali"	0.165189
"Jose Maria Aznar"	0.164747
"Abdullah Ahmad Badawi"	0.164528
"Lionel Jospin"	0.164425
"Vaclav Klaus"	0.162622
"Romano Prodi"	0.162297
"Ismail Cem"	0.161421
"Atal Behari Vajpayee"	0.160723
"Bulent Ecevit"	0.160719
Al-Thani	0.159977
"Igor Ivanov"	0.159927
"Jenny Shipley"	0.158691
"Momir Bulatovic"	0.158545
Lipponen	0.157938
Al-Sabah	0.157495
"King Fahd"	0.15547
Gaddafi	0.154719
"Alain Juppe"	0.154557
Demirel	0.153385
"Yoshiro Mori"	0.153301
"Binyamin Netanyahu"	0.152897
Komura	0.152893
"Krishna Prasad Bhattarai"	0.152853
"I.K Gujral"	0.152485
"Benazir Bhutto"	0.151746
al-Sharaa	0.151292
"Tim Fischer"	0.149282
"King Abdullah II"	0.148773
Shareh	0.147227
"John Howard"	0.146823
"Amnuay Virawan"	0.14658
"Sher Bahadur Deuba"	0.145678
Azad	0.145525
Khaddam	0.14368
Hariri	0.142891
"Tareq Aziz"	0.142779
Bhattarai	0.142605
Meles	0.142341
"Abidine Ben Ali"	0.140977
Chretien	0.140399
"Keizo Obuchi"	0.139907
"Chief Executive Tung Chee-hwa"	0.139208
"Ung Huot"	0.138908
Mubarak	0.138339
Kharrazi	0.138216
Vajpayee	0.138099
"Viktor Chernomyrdin"	0.137859
emir	0.137805
"Yevgeny Primakov"	0.137418
al-Assad	0.137252
el-Bashir	0.137113
"Prince Abdullah Ibn Abdul-Aziz"	0.136587
"Fernando Henrique Cardoso"	0.136246
"Jean Chretien"	0.13582
al-Nahyan	0.134993
Kabariti	0.134547
Gurirab	0.134252
"Saudi King Fahd Ibn Abdul-Aziz"	0.133889
"Carlos Menem"	0.132716
"Fayez Tarawneh"	0.132544
"Goh Chok Tong"	0.132254
Scalfaro	0.132167
"Ryutaro Hashimoto"	0.131967
Deuba	0.131874
Dehaene	0.131243
Chuan	0.130829
"Secretary General Esmat Abdul-Meguid"	0.129929
Gujral	0.129806
Majali	0.129002
"Dos Santos"	0.12898
Hasina	0.12861
"Nawaz Sharif"	0.128598
"Jacques Chirac"	0.128543
"Fatos Nano"	0.128495
Boueiz	0.127573
Nzo	0.127367
"Mahmoud Zouebi"	0.126852
"P.V Narasimha Rao"	0.126444
al-Khalifa	0.126059
Kamal	0.125829
"David Levy"	0.125423
"Than Shwe"	0.124945
Muoi	0.124665
Dini	0.124322
"Begum Khaleda Zia"	0.12428
Cem	0.123929
"Bill Skate"	0.123651
Lahoud	0.122024
"King Abdullah"	0.121585
Frei	0.121276
Aziz	0.121146
"Saeb Erekat"	0.121061
Museveni	0.120957
"John Major"	0.120913
"Mahathir Mohamad"	0.120861
Stoyanov	0.12056
Banharn	0.12048
"Javier Solana"	0.120304
"Tariq Aziz"	0.119926
Goh	0.11975
"Hubert Vedrine"	0.119565
Siazon	0.118776
Garang	0.118316
"William Cohen"	0.118042
Moi	0.118025
"Sergei Stepashin"	0.117561
Narayanan	0.117515
"Ernesto Zedillo"	0.117232
Vedrine	0.116818
"Victor Chernomyrdin"	0.116671
"President Kim Dae-jung"	0.115115
Ahtisaari	0.115012
"Tomiichi Murayama"	0.11486
Ruehe	0.114786
Chirac	0.114762
"Vladimir Putin"	0.114566
"Arab League"	0.114294
"Dennis Ross"	0.114023
Abdel-Meguid	0.113974
"Ehud Barak"	0.113607
"Li Peng"	0.113493
Schuessel	0.113471
"Shimon Peres"	0.113468
"Jordanian King Hussein"	0.113436
Jayakumar	0.113075
"George Robertson"	0.113062
Santer	0.112986
"Zhu Rongji"	0.112686
"Sergei Kiriyenko"	0.112476
"Gro Harlem Brundtland"	0.112456
Ahern	0.112422
"Mikhail Kasyanov"	0.112315
Aznar	0.112277
"Bill Richardson"	0.112235
Mkapa	0.112005
Barshefsky	0.111885
Alatas	0.111652
Nazarbayev	0.111609
Ivanov	0.111546
Qian	0.110995
"Benjamin Netanyahu"	0.11074
Koirala	0.110592
"Sartaj Aziz"	0.110423
"King Abdullah Bin Hussein"	0.110281
Camdessus	0.109804
Bashir	0.109744
"Defense William Cohen"	0.109554
"Tony Blair"	0.108423
"Oded Eran"	0.107946
Juncker	0.107781
Kuchma	0.10773
Ben-Ami	0.107593
Azizah	0.107509
Kinkel	0.107476
Phieu	0.10747
Meguid	0.10727
"deputy foreign minister"	0.107227
Sharaa	0.107087
"William Perry"	0.10626
"Yasser Abed Rabbo"	0.105933
Ciller	0.105866
Solana	0.105843
"governor general"	0.105743
Saleh	0.105392
al-Sahaf	0.105212
Talbott	0.105209
Rakhmonov	0.105175
"Israeli Cabinet"	0.105131
Ikeda	0.104818
"Qian Qichen"	0.104793
"Helen Clark"	0.104761
"Robin Cook"	0.10424
"Secretary-General Boutros Boutros-Ghali"	0.103873
"crown prince"	0.103831
"Jaswant Singh"	0.103827
Kostov	0.103632
Ecevit	0.103511
Hrawi	0.103436
Al-Faisal	0.103425
"Chi Haotian"	0.103174
Primakov	0.102987
Husseini	0.102952
Shara	0.102829
Musharraf	0.102705
Clerides	0.102577
"De Soto"	0.102537
"Gerry Adams"	0.102497
Jospin	0.10199
"Paul Kagame"	0.101694
"Martti Ahtisaari"	0.101561
"Prime Minister Banharn Silpa-Archa"	0.101464
"Sheikh Saad"	0.101455
Juppe	0.101229
Niyazov	0.100941
"King Hussein"	0.100701
"Vladimir Meciar"	0.100231
Denktash	0.100166
))
(atelier (desc 1137.98) (sims
sketchbook	0.103188
cognoscenti	0.0726747
COUTURE	0.069682
"cocktail dress"	0.0688164
"fortune cookie"	0.0610301
workroom	0.0602068
"haute couture"	0.0594356
nunnery	0.0542995
"CAC @@"	0.0520137
"transit authority"	0.0505919
"sales outlet"	0.0489547
"repertory company"	0.0488847
"weather station"	0.0458588
bistro	0.0457015
"consulting company"	0.0456633
"law practice"	0.0432332
bed-and-breakfast	0.0432115
cirque	0.0429213
"gambling casino"	0.0427482
"Development Zone"	0.0424415
FOP	0.0419335
"coffee bar"	0.0415078
"science museum"	0.0410111
"car door"	0.0404333
))
(ATF (desc 4965.75) (sims
DEA	0.215974
"Drug Enforcement Administration"	0.179356
OSHA	0.172368
NHTSA	0.156675
FBI	0.139766
INS	0.139037
"Scotland Yard"	0.137733
USDA	0.132406
FAA	0.132291
"Federal Bureau of Investigation"	0.130881
"Immigration and Naturalization Service"	0.130845
IRS	0.128079
"Bureau of Alcohol"	0.127264
"secret service"	0.126541
"customs service"	0.125699
DMV	0.12537
"Health Department"	0.125103
"U.S. Customs Service"	0.123242
DP	0.122487
EPA	0.122228
"Department of Justice"	0.121657
"Internal Revenue Service"	0.120528
"Federal Aviation Administration"	0.119274
NTSB	0.119267
CIA	0.119131
"Energy Department"	0.11889
"Department of Energy"	0.118587
"Justice Department"	0.117064
"Texas Department of Public Safety"	0.116055
FDA	0.115653
"Coast guard"	0.113966
FTC	0.113067
CAA	0.112646
"National Transportation Safety Board"	0.112235
"Ethics Commission"	0.11032
"U.S. Environmental Protection Agency"	0.10912
"Securities and Exchange Commission"	0.107088
"Transportation Department"	0.106732
"Central Intelligence Agency"	0.10637
PUC	0.104528
NRC	0.104073
"Nuclear Regulatory Commission"	0.102901
CDC	0.102871
"U.S. Treasury Department"	0.102532
"Department of Transportation"	0.101365
SEC	0.101218
FEMA	0.100914
"Federal Trade Commission"	0.100192
"Department of Public Safety"	0.0995711
"U.S. Immigration and Naturalization Service"	0.0981784
"Education Department"	0.0981659
"ethics committee"	0.097885
CBI	0.0977514
NCI	0.0976343
"Census Bureau"	0.0970625
"Defense Department"	0.0967664
GSS	0.0967335
"Truth Commission"	0.0959607
"Agriculture Department"	0.0959422
"border patrol"	0.0957556
Interpol	0.0947404
"Federal Emergency Management Agency"	0.0944441
"U.S. Coast Guard"	0.0939815
IEA	0.0934863
"Food and Drug Administration"	0.0931958
EOHR	0.0929509
"National Security Agency"	0.092434
"State Department"	0.0918401
USAID	0.0916656
DEP	0.0910536
Gao	0.0905078
"National Highway Traffic Safety Administration"	0.0904446
"Labor Department"	0.0900762
Nepa	0.0896539
bureau	0.089486
"Defense Agency"	0.0891313
BIA	0.088934
"Environmental Protection Agency"	0.0888504
NSA	0.0887108
FEC	0.0887008
EEOC	0.0883329
"Department of Veterans Affairs"	0.0882327
NIH	0.0881755
FSA	0.0880789
HHS	0.0872972
"Commerce Department"	0.0863981
va	0.0854103
"Forest Service"	0.0853697
"Internal Affairs"	0.0848248
CPS	0.0844377
"Fish and Wildlife Service"	0.0843457
"Treasury Department"	0.084002
"federal official"	0.0838976
"New Jersey State Police"	0.0837123
CPSC	0.0830923
"U.S. Agriculture Department"	0.0829404
"National Park Service"	0.0828872
"Department of Agriculture"	0.0828515
"Health Ministry"	0.0821702
Pentagon	0.0819279
"National Police"	0.0819276
RCMP	0.081709
"police department"	0.081435
"State Police"	0.0812081
"Russian Space Agency"	0.0808276
SSB	0.0806315
"US State Department"	0.0796163
"inspector general"	0.0787213
"American Red Cross"	0.0785936
HCFA	0.0785404
"Royal Canadian Mounted Police"	0.0785266
"Park Service"	0.0782882
Cornyn	0.0780404
FCC	0.077887
"Agriculture Ministry"	0.0777428
SDPC	0.0775858
"U.S. Census Bureau"	0.0775796
"Department of Corrections"	0.0774292
WFP	0.0774132
"U.S. Border Patrol"	0.0773581
"U.S. Fish and Wildlife Service"	0.077341
"Justice Ministry"	0.076928
"Home Ministry"	0.0767374
LAPD	0.0767098
TRC	0.0766409
"Consumer Product Safety Commission"	0.0766075
"fire department"	0.0765631
SEPA	0.0764878
"Department of Defense"	0.0763595
SLOC	0.0761906
"Intelligence Ministry"	0.0760677
BLM	0.0759752
USOC	0.0755114
"federal agent"	0.0749531
"Department of Health and Human Services"	0.0747971
"Interior Department"	0.0745778
NASD	0.0741407
"NFL Players Association"	0.0741239
"ethics panel"	0.0740247
SFA	0.0738724
"Department of Education"	0.0738634
Kroll	0.0737162
IAEA	0.0735161
BOI	0.0731287
UNHCR	0.0730299
"Civil Aviation Authority"	0.0730016
Danforth	0.0729826
"Department of Health"	0.0727084
NYPD	0.0726329
"U.S. Olympic Committee"	0.0724
Smaltz	0.0723045
"Occupational Safety and Health Administration"	0.0722603
"Football Association"	0.0722466
"Department of Labor"	0.072007
NCAA	0.0718204
"Finance Ministry"	0.071675
"Institute of Medicine"	0.0716214
"Israeli Foreign Ministry"	0.0715854
counterterrorism	0.0714285
HUD	0.0711249
PNP	0.0710854
EC	0.0703898
counterintelligence	0.0703094
"Department of Environmental Protection"	0.0702429
NASA	0.0700673
"Labor Ministry"	0.0699959
ILO	0.0698559
CBK	0.0697115
"General Accounting Office"	0.0697071
"Federal Election Commission"	0.0696867
"International Red Cross"	0.0696032
"Congressional Research Service"	0.0695617
"Kenneth Starr"	0.0692231
"Con Ed"	0.0690008
Firestone	0.0689337
"Transport Ministry"	0.0688651
"Los Angeles Police Department"	0.0686552
Lockyer	0.0682475
"U.S. State Department"	0.0679429
"British Foreign Office"	0.0673263
ICRC	0.0673076
"Humane Society"	0.0670767
"Federal Security Service"	0.067014
"National Security Council"	0.0670084
"New York Police Department"	0.0669438
"Federal Communications Commission"	0.0668217
UNICEF	0.0665696
"Russian Interior Ministry"	0.0665445
UNSCOM	0.0665218
"Texas Department of Health"	0.0661468
ACLU	0.066063
"National Republican Congressional Committee"	0.0657002
Greenpeace	0.0656892
FSB	0.0656799
CNTA	0.0656295
Koskinen	0.06557
SBA	0.065459
"Housing Authority"	0.065256
"Education Ministry"	0.0651861
"postal service"	0.0651086
))
(atheism (desc 2020.08) (sims
materialism	0.142229
Marxism	0.104325
secularism	0.101633
consumerism	0.0939151
"Mao Zedong Thought"	0.0855662
"Falun Dafa"	0.0800327
individualism	0.0766465
celibacy	0.0749311
pseudoscience	0.0701283
socialism	0.0654112
superstition	0.0609689
creationism	0.0592429
altruism	0.0562703
nonviolence	0.0560339
agnostic	0.0556882
polygamy	0.0540552
abstinence	0.052969
"Deng Xiaoping Theory"	0.05198
"Peaceful Coexistence"	0.0513487
Christianity	0.0506179
pacifism	0.0499667
insincerity	0.0484752
expediency	0.0458789
nihilism	0.0440777
oneness	0.0424104
rationality	0.0420334
"UN Charter"	0.0419406
internationalism	0.0418077
oppressed	0.0418017
chastity	0.0414421
"circadian rhythm"	0.0414355
IX	0.041079
perplexity	0.0410224
tribalism	0.0405187
Qigong	0.0402998
absolutes	0.0400165
))
(atheist (desc 5654.89) (sims
agnostic	0.133026
Buddhist	0.114703
humanist	0.1121
"Madalyn Murray O'Hair"	0.107932
feminist	0.101436
Mormon	0.0908213
anarchist	0.0885889
pacifist	0.0883605
monarchist	0.0881334
leftist	0.0880836
christian	0.0842808
Hindu	0.0805325
theologian	0.0798148
Orthodox	0.0789019
Jewish	0.0784868
socialist	0.0781437
Sikh	0.077773
Presbyterian	0.0771212
Methodist	0.0768999
Marxist	0.0768435
Baptists	0.0767946
Copt	0.0753215
Catholic	0.075225
Taoist	0.0733749
druid	0.0723108
fascist	0.0723101
Jew	0.0720844
O'Hair	0.0702287
anti-Semite	0.0698399
Episcopalian	0.0698209
non-Muslims	0.0696886
vegetarian	0.069003
Anglican	0.0671405
thinker	0.0671354
capitalist	0.0667959
"important person"	0.0666403
"Orthodox Christians"	0.0662358
environmentalist	0.0662121
internationalist	0.0661056
"Roman Catholic"	0.0656367
homosexual	0.0656025
nigger	0.0639346
"black person"	0.0635045
"civil rights leader"	0.0634835
"trade unionist"	0.0622673
"social scientist"	0.0622605
"Jehovah's Witnesses"	0.0611262
Moslem	0.0601379
"house guest"	0.0595868
Baptist	0.0591312
"political prisoner"	0.058666
"people of color"	0.058349
hater	0.0580898
educator	0.0575196
dissident	0.0575167
pentecostal	0.0571962
lesbian	0.0571505
nationalist	0.0569988
schoolteacher	0.0567149
Zionist	0.0564438
"Protestant denomination"	0.0562569
"trucking industry"	0.0560574
junkie	0.0558837
"AIDS activist"	0.0556042
sinner	0.0555795
evangelist	0.0555137
paraplegic	0.0553512
believer	0.0553302
Lutheran	0.0549198
magician	0.0545651
weirdo	0.0542396
battler	0.0540614
yachtsman	0.0540608
"Coptic Christians"	0.0538618
"jazz musician"	0.0536218
heterosexual	0.0535457
Litigator	0.0533078
"belly dancer"	0.0528414
missionary	0.0527435
"newspaper editor"	0.0521265
dilettante	0.0520984
recluse	0.0519881
"Israeli Arabs"	0.0516773
idiot	0.0516205
"religious leader"	0.0515209
violinist	0.0515189
centrist	0.0514297
right-winger	0.0513797
philosopher	0.0513405
folklorist	0.0511654
alcoholic	0.0509433
"fashion designer"	0.050749
ideologue	0.0505918
"Southern Baptist"	0.0505227
Croats	0.0504383
non-Catholic	0.0503079
bisexual	0.0503051
outcast	0.0501187
evangelicals	0.0500543
Protestant	0.0497693
"toy retailer"	0.0495848
overachiever	0.0495704
sadist	0.0489152
Libertarian	0.0488633
"test-tube baby"	0.0487222
"draft dodger"	0.0487182
"Orthodox Jew"	0.0486557
"Sunni Muslims"	0.0485428
pariah	0.0485177
snowboarder	0.0483355
churchgoer	0.0483211
well-respected	0.0483124
"second person"	0.0480873
Kurd	0.0480772
"sports fan"	0.0480129
"Jehovah's Witness"	0.0478922
"Orthodox Jews"	0.0478544
wimp	0.0477881
redneck	0.0476694
drinker	0.0475085
conservationist	0.0474923
Gypsy	0.0474783
pro-choice	0.0474147
"good person"	0.0471925
Tamil	0.047
personage	0.0469772
illiterate	0.0467984
pagan	0.0467357
"hard worker"	0.0465417
gangster	0.0463411
airman	0.0463207
"risk taker"	0.0462558
statesmen	0.0462167
gung-ho	0.0461452
skinhead	0.045967
"test pilot"	0.0459248
Arab-Americans	0.0459047
"young person"	0.0458739
wonk	0.0457834
"world traveler"	0.0457389
ecologist	0.045706
newspaperman	0.0456989
Iowan	0.0456059
abolitionist	0.0455122
queer	0.0454805
doer	0.0454066
murderer	0.0453927
"certified public accountant"	0.0453762
"white person"	0.0452878
"elder statesman"	0.0452625
bikers	0.0452314
acolyte	0.0452312
statesman	0.0452167
handicapper	0.0451672
philanthropist	0.0450526
snob	0.0450046
linguist	0.0449343
achiever	0.044678
dramatist	0.0445668
"labor leader"	0.0444695
Gentile	0.0444119
Hamid	0.0444021
orator	0.0443905
Southerner	0.0443362
jurist	0.0442244
smoker	0.0441448
skeptic	0.0441423
hemophiliac	0.0441065
"prima donna"	0.0440531
has-been	0.0439487
"baseball player"	0.0438737
Superman	0.04378
"union member"	0.0437715
socialite	0.0437358
"school principal"	0.043689
sympathizer	0.0436714
"school girl"	0.0436137
fanatic	0.0435761
clergyman	0.0435416
"Bora Milutinovic"	0.0435387
"chess player"	0.0434184
"Christian Democrats"	0.043353
craftsmen	0.0433432
"art director"	0.0431658
"free spirit"	0.0430363
"African Americans"	0.0430099
"one of the boys"	0.0429796
proponent	0.0429688
pianist	0.0429122
admirer	0.0428984
vet	0.0428416
Arizonan	0.0428191
czar	0.0428146
Hick	0.0427628
Gi	0.0427297
"Popular Party"	0.0426552
typist	0.0426395
turncoat	0.0426272
realist	0.0426171
provocateur	0.0425135
))
(Athenian (desc 765.212) (sims
"North Carolinian"	0.115372
Beijingers	0.100737
Israelites	0.0892973
Muscovite	0.088585
"Southern Democrats"	0.0879464
Navajos	0.0874949
"Kosovo Serbs"	0.0872108
emigrant	0.0838241
"European Jews"	0.0780054
serviceman	0.0778307
Irishmen	0.0768954
farmworkers	0.0762071
snowmobilers	0.0761271
worshipper	0.0749887
Mozambican	0.0745225
"Cuban Americans"	0.0744254
concertgoers	0.0714013
MIAs	0.0711335
fire-fighter	0.0710912
Iowan	0.0703951
"Kosovar Albanians"	0.0701337
churchgoer	0.069743
Tennessean	0.0695828
Honduran	0.0689938
mainlanders	0.0686688
Webdale	0.0684295
"French people"	0.0682419
Ghanaians	0.067733
Ecuadoreans	0.0675593
"Iraqi Kurds"	0.0673467
Missourian	0.06718
Guinean	0.0670376
Taoist	0.0653029
"sea bird"	0.0648706
"department employee"	0.0648345
non-Albanians	0.0645861
Nicaraguan	0.0639142
Tamil	0.063814
claimer	0.0633915
Mesopotamia	0.0632437
Berber	0.0630244
out-of-towners	0.0630236
Burundian	0.0624826
Godfrey	0.0620738
Mustafa	0.0620591
Atlantans	0.0619937
"Southern Baptists"	0.0617699
Guatemalan	0.0617058
Macedonian	0.0614953
Sacagawea	0.0610642
Guevara	0.0607305
"Albanian Kosovars"	0.0601962
Gi	0.0597223
vacationer	0.059714
"census taker"	0.059403
holidaymaker	0.0593671
Colosseum	0.0593326
Parthenon	0.0593166
worshiper	0.0591493
lemming	0.058835
Chinese-Indonesians	0.0586444
"Windrell Hayes"	0.0582428
Floridian	0.0579501
Ukrainians	0.0579302
"North Koreans"	0.0579229
Habib	0.0578325
hominid	0.057807
Dudayev	0.0575858
townspeople	0.0575229
deserter	0.0573272
reveler	0.0572714
"dock worker"	0.0572552
SNPs	0.0568514
enumerators	0.0568002
"woolly mammoth"	0.0567385
"white line"	0.056695
experimenter	0.0566654
"temporary worker"	0.0565254
"de Charette"	0.0562814
backpackers	0.0560915
Baptists	0.0559497
Villareal	0.0559397
reservist	0.0557413
Fijian	0.055677
airmen	0.0556742
"factory worker"	0.0555567
"South Koreans"	0.0554972
Alaves	0.0552521
"New Jerseyans"	0.0549921
mollusk	0.0549549
moth	0.0549162
"Reagan Democrats"	0.0548862
Kurd	0.0548583
bather	0.0547084
Afrikaner	0.054407
lumberjack	0.0539589
"Dick Vermeil"	0.0535493
Venables	0.05343
picnicker	0.0534119
"beer drinker"	0.053375
"school girl"	0.0533327
Phoenician	0.0531689
sixth-graders	0.0531548
"North Africans"	0.0528914
hemophiliac	0.05289
"mountain climber"	0.0528637
Hutus	0.0527726
Laotian	0.0527246
Shiite	0.0527133
Zairean	0.0527044
Kurth	0.052704
crewmembers	0.0526754
"Czar Nicholas II"	0.0526407
"Iraqi POWs"	0.052582
"monarch butterfly"	0.0524458
Davidian	0.0523862
"gold miner"	0.0523612
"dairy farmer"	0.0523548
Londoner	0.0519921
"Washington Monument"	0.0519125
"Nicholas II"	0.0518858
Lithuanians	0.0517209
hatchet	0.0517191
kayakers	0.0516733
bearcat	0.0514304
Hoch	0.0514137
Yandarbiyev	0.0514015
Riady	0.0513834
"South Carolinian"	0.0513303
Copt	0.0513113
redhead	0.051251
indies	0.051194
skydiver	0.0511057
Arizonan	0.050746
"two fingers"	0.0507219
neuron	0.0506616
"San Franciscans"	0.0506467
locution	0.050478
"minke whale"	0.0504519
Vermonter	0.0503999
steelworker	0.0503317
adoptees	0.0503207
cobblestone	0.0501956
noncitizens	0.0500634
Uruguayan	0.0500408
Angelenos	0.049988
Persia	0.0499718
leech	0.0499572
wellwisher	0.0498409
"The Sopranos"	0.0497435
Aztec	0.0497281
Musa	0.0496922
motorcyclists	0.0496566
"risk taker"	0.0495864
Mukora	0.0495605
"Coptic Christians"	0.0495514
"Sri Lankans"	0.0494163
Anglos	0.0493555
"dead animal"	0.0493526
"farm worker"	0.0492789
conventioneer	0.0492749
"Love Bug"	0.0490059
multimillionaires	0.0489589
Washingtonian	0.0489055
Iditarod	0.0488964
nevirapine	0.0488124
Orangemen	0.0487935
Stoyanov	0.0487315
mini-buses	0.0486655
"health professional"	0.0486131
"American Chanda Rubin"	0.0484962
Paraguayan	0.0484362
earthling	0.0483711
Montenegrins	0.0482886
puritan	0.048278
Sponeck	0.0482575
conquistador	0.0482164
Mendes	0.0481982
sightseer	0.0481663
Pustovoitenko	0.0481032
"garment worker"	0.0479827
Katsav	0.047865
Ikeda	0.0478132
rickshaw	0.0477382
"Sophia Loren"	0.0477361
"Bosnian Muslims"	0.0476911
Chinese-Americans	0.0475834
Extremadura	0.0475621
meltdowns	0.0474372
filmgoers	0.0472864
"Princess Anne"	0.0471908
Celta	0.0471901
Tsang	0.0471238
"skilled worker"	0.0470862
hieroglyphic	0.0468887
swine	0.0468831
well-wisher	0.0468072
"American Todd Martin"	0.0467797
"prairie dog"	0.0467468
Mathews	0.0467058
))
(ATHENS (desc 53613.6) (sims
CAIRO	0.198351
ANKARA	0.195634
SEOUL	0.19384
Rome	0.18826
BUDAPEST	0.184454
Moscow	0.184041
Istanbul	0.18324
Tehran	0.182886
BUCHAREST	0.181496
BRUSSELS	0.174271
STOCKHOLM	0.173119
Prague	0.172968
Tokyo	0.172796
"Mexico City"	0.171188
Paris	0.169032
"Buenos Aires"	0.168224
"Kuala Lumpur"	0.167813
Vienna	0.166003
KIEV	0.165496
Helsinki	0.165151
"Tel Aviv"	0.163915
TIRANA	0.163758
Madrid	0.162935
SOFIA	0.160473
JOHANNESBURG	0.159211
Amman	0.158618
Manila	0.158112
WARSAW	0.158036
LISBON	0.156922
Bonn	0.156615
Havana	0.15476
BOGOTA	0.154692
Beirut	0.152692
Jakarta	0.152535
"Cape Town"	0.152513
LONDON	0.15243
Seville	0.152095
"Phnom Penh"	0.151937
BEIJING	0.151133
"New Delhi"	0.15089
BELGRADE	0.150554
"Addis Ababa"	0.149971
Bangkok	0.14985
ZAGREB	0.148857
HARARE	0.148149
Berlin	0.14764
Algiers	0.146661
Islamabad	0.144757
Nairobi	0.143986
Sydney	0.143187
DHAKA	0.14156
CARACAS	0.14153
KAMPALA	0.14053
Santiago	0.139279
Luanda	0.139113
Riyadh	0.139045
Geneva	0.138864
Lusaka	0.138805
Damascus	0.136815
"Rio de Janeiro"	0.136457
Pretoria	0.13565
Amsterdam	0.13545
HANOI	0.135346
Sarajevo	0.133428
Dublin	0.132106
Khartoum	0.131967
COLOMBO	0.131331
Baghdad	0.130943
Managua	0.130143
NICOSIA	0.130029
"St. Petersburg"	0.129864
Copenhagen	0.129816
Belfast	0.129674
Dushanbe	0.129474
Munich	0.128154
Oslo	0.126551
MELBOURNE	0.126446
Tripoli	0.125378
Kigali	0.124938
Greece	0.124785
MAPUTO	0.124521
Frankfurt	0.124498
Nagano	0.124455
Durban	0.123702
Barcelona	0.122074
"Los Angeles"	0.121953
Lima	0.121607
Lagos	0.118341
TUNIS	0.118177
Washington	0.117762
Zurich	0.117368
Pristina	0.117116
Atlanta	0.116225
"Salt Lake City"	0.115195
"Guatemala City"	0.114911
Milan	0.114809
"Sao Paulo"	0.114629
"Dar es Salaam"	0.114568
YANGON	0.114336
Perth	0.113615
Kathmandu	0.113072
Minsk	0.111841
Skopje	0.111257
Asmara	0.11125
JERUSALEM	0.110889
PYONGYANG	0.10976
TEGUCIGALPA	0.109684
Kabul	0.109398
Quito	0.109358
Tbilisi	0.109221
Wellington	0.109069
"San Juan"	0.108727
Osaka	0.107394
Shanghai	0.10723
Gaza	0.107204
Naples	0.10711
Auckland	0.107066
Montreal	0.106822
Lausanne	0.10346
Turin	0.103379
Birmingham	0.103189
Taipei	0.103166
Doha	0.102787
Ottawa	0.101868
Dili	0.101555
Toronto	0.100823
Accra	0.100628
Minneapolis	0.10057
Kinshasa	0.100533
Manchester	0.100426
SANAA	0.100246
"Las Vegas"	0.0998741
Alexandria	0.0994587
Rabat	0.0994493
"San Francisco"	0.0992893
Baku	0.0990041
Tucson	0.0989881
Honolulu	0.0988083
"New York"	0.0987847
Canberra	0.0986999
"Santo Domingo"	0.0985633
Florence	0.0984459
Mogadishu	0.0984451
Windhoek	0.0984023
"San Jose"	0.0982577
MANAMA	0.0982398
Monrovia	0.0972901
Hamburg	0.0971122
Seattle	0.096448
Kunming	0.0962281
"New Orleans"	0.096207
Houston	0.096154
Venice	0.0958554
Ramallah	0.0954138
Lhasa	0.0953852
Albany	0.0952424
"San Salvador"	0.0950039
PALERMO	0.0946109
Bujumbura	0.094567
Vancouver	0.0944251
Vilnius	0.0941054
Karachi	0.094102
Port-au-Prince	0.0940129
Gaborone	0.0939731
Chicago	0.0927601
"Ulan Bator"	0.0923268
"Panama City"	0.0923227
Freetown	0.0922886
"Ho Chi Minh City"	0.0919807
Brisbane	0.0918789
Boston	0.0916461
Cyprus	0.0916199
Jeddah	0.0915107
Grozny	0.0910355
Orlando	0.0908248
Savannah	0.0907982
Philadelphia	0.0907879
Bombay	0.0907217
Phoenix	0.0905943
Austin	0.0904497
"San Diego"	0.090344
Arusha	0.090308
Abuja	0.0903008
Singapore	0.0901553
Stuttgart	0.0900821
"Fort Worth"	0.0899375
Denver	0.0899133
Columbus	0.0897367
Egypt	0.0896353
Luxembourg	0.0892835
CHENGDU	0.0891503
Winnipeg	0.0891367
Nashville	0.0890748
Indianapolis	0.0888419
"San Antonio"	0.0887861
Tampa	0.0885162
Bahrain	0.0883864
Rochester	0.0877766
Abidjan	0.0877308
Dallas	0.0872997
))
("Athens News Agency" (desc 3566.52) (sims
"Agence France Presse"	0.215622
Tass	0.214315
"Anatolia News Agency"	0.212672
"Southern African Broadcasting Association"	0.209533
"Vietnam News Agency"	0.201181
"Kyodo News"	0.201098
"Zambia News Agency"	0.20038
"Philippine News Agency"	0.199818
"Korean Central News Agency"	0.199114
"Ghana News Agency"	0.197283
"Indonesian Observer"	0.197184
"Moscow Times"	0.194749
"Associated Press of Pakistan"	0.193256
"Thai News Agency"	0.192851
"Saudi Press Agency"	0.192722
Sowetan	0.192361
"Jordan Times"	0.191858
"Australian Associated Press"	0.189375
"Straits Times"	0.188266
"Iraqi News Agency"	0.187163
"Kathmandu Post"	0.186327
"Business Times"	0.185957
"Turkish Daily News"	0.185778
"Daily Times"	0.185725
"Kyodo News Service"	0.185529
Angop	0.184932
"Egyptian Middle East News Agency"	0.183877
"Kenya Times"	0.183424
"Zambia Daily Mail"	0.181107
"Vietnam News"	0.179203
"Ethiopian News Agency"	0.178692
"Zimbabwe News Agency"	0.178135
"Egyptian Gazette"	0.177644
"Islamic Republic News Agency"	0.174201
"Daily Star"	0.173803
"Radio Uganda"	0.173203
Lusa	0.1727
"Rwanda News Agency"	0.169392
"Financial Mail"	0.168719
"Press Trust of India"	0.168168
"Cyprus News Agency"	0.165862
"U.S. Labor Department"	0.16565
"Kuwait News Agency"	0.164973
"Post Express"	0.164878
"Agence France-Presse"	0.164397
Antara	0.164154
"Jakarta Post"	0.163604
"South African Press Association"	0.163558
"Tehran Times"	0.163344
"News Agency of Nigeria"	0.163028
"Ethiopian Herald"	0.162802
KPL	0.162298
"Al Ahram"	0.162049
"Khaleej Times"	0.161831
BS	0.160419
"South China Morning Post"	0.157488
Kyodo	0.157324
"Middle East News Agency"	0.157219
Ansa	0.156013
"The New Vision"	0.156001
Tanjug	0.153647
"China Daily Business Weekly"	0.152831
"East African Standard"	0.150418
"Alam Al Yom"	0.149806
"Antara News Agency"	0.149755
Haaretz	0.149741
"Business Day"	0.148669
Anatolia	0.146829
Noticias	0.146378
"Bangkok Post"	0.145298
"Al Hayat"	0.144611
"New Nigerian"	0.144124
MTI	0.142108
SAPA	0.141809
"Daily Nation"	0.141613
"New Vision"	0.139624
"Macao Daily News"	0.138935
Bernama	0.137074
"Business Weekly"	0.136748
WAM	0.136262
"Dow Jones Newswires"	0.134747
"Jerusalem Post"	0.134518
Notimex	0.134179
Itar-Tass	0.132239
"Israel Radio"	0.131367
Malaya	0.130151
"Beijing Daily"	0.12885
ATA	0.128519
"Gulf News"	0.128367
"National Association of Realtors"	0.128028
Petra	0.127475
"British Broadcasting Corporation"	0.127134
PTI	0.124188
Kommersant	0.123574
Interfax	0.121755
"New Light"	0.119203
AFP	0.118711
"International Business Daily"	0.118406
MENA	0.116386
IRNA	0.115908
"Sydney Morning Herald"	0.115208
"China Youth Daily"	0.114451
"news agency"	0.112389
Hurriyet	0.111105
"The Monitor"	0.11073
"China Daily"	0.108612
"Iran News"	0.10811
RSS	0.106583
"Press Trust"	0.10588
Eurostat	0.105517
"Seattle Times"	0.105445
"United Press International"	0.104951
"East African"	0.101456
"Nihon Keizai Shimbun"	0.101232
"Le Monde"	0.100266
"El Pais"	0.0979367
"Wenhui Daily"	0.0973495
"Jerusalem Media and Communication Center"	0.0970146
"Statistics Canada"	0.0953836
al-Hayat	0.0948503
Salam	0.0938413
"Le Figaro"	0.0929668
"Daily Telegraph"	0.0927633
"Daily Mail"	0.0926513
APP	0.0923733
TC	0.0920898
NHK	0.091492
"Beijing Youth Daily"	0.0909516
NTV	0.089203
"Washington Times"	0.0888639
Reuters	0.0886928
"New Straits Times"	0.0881131
"Detroit News"	0.0875535
"Kosovo Information Center"	0.0874995
"Information Center"	0.0872987
"Daily News"	0.0868349
APA	0.0858484
Maariv	0.0855146
"Detroit Free Press"	0.0853219
INA	0.0852238
"Guangming Daily"	0.0842143
"Xinhua News Agency"	0.0840796
"Asahi Shimbun"	0.0837766
"Yomiuri Shimbun"	0.0827196
Al-Ahram	0.0821446
"El Mundo"	0.0813887
CNA	0.0809348
Asahi	0.0796614
Jana	0.0795824
Reforma	0.0790868
"Financial Times"	0.0784257
"Der Spiegel"	0.0782022
"press agency"	0.0764439
beta	0.0755799
BBC	0.0754234
"Nihon Keizai"	0.0738533
Dominion	0.0724501
"Boston Herald"	0.0713616
"U.S. Commerce Department"	0.0696407
Yomiuri	0.0692995
KUNA	0.0692869
Granma	0.069061
"Wall Street Journal"	0.0682516
"New York Daily News"	0.0676869
"Chicago Tribune"	0.0675412
Politika	0.0674199
ABS-CBN	0.0664237
"Hartford Courant"	0.0656821
TT	0.065461
RNA	0.065063
"Australian Bureau of Statistics"	0.0650573
L'Equipe	0.0650232
JMCC	0.0647876
"Washington Post"	0.0638427
"Conference Board"	0.0637055
"Thai Foreign Ministry"	0.0636857
Inquirer	0.0631247
"Economic Daily"	0.0628417
"news service"	0.0619511
"Miami Herald"	0.0617706
CTV	0.0616872
"Associated Press"	0.0616538
"National Post"	0.0616213
"Yediot Ahronot"	0.0610032
"Information Center of Human Rights"	0.0598649
"Philadelphia Inquirer"	0.0596151
"National Hurricane Center"	0.059424
Bild	0.0589776
"Dallas Morning News"	0.0585609
"Los Angeles Times"	0.0579929
"Bloomberg News"	0.0579607
"Denver Post"	0.0572449
"Central Bureau of Statistics"	0.0567933
"Commerce Department"	0.0566086
"Census Bureau"	0.0560415
"USA TODAY"	0.0559247
Spiegel	0.0557576
Yastrzhembsky	0.0548333
Sha	0.0546194
"Chicago Sun-Times"	0.0521072
))
(atherosclerosis (desc 1659.67) (sims
"congestive heart failure"	0.207933
"cardiovascular disease"	0.203267
Osteoporosis	0.192507
"liver disease"	0.19008
"kidney disease"	0.179416
angina	0.171203
"heart disease"	0.161389
emphysema	0.158565
"heart failure"	0.155506
hypertension	0.153985
osteoarthritis	0.150771
"kidney stone"	0.148074
"Parkinson's disease"	0.146514
"high blood pressure"	0.138822
epilepsy	0.137856
Alzheimer	0.136466
Parkinson's	0.135474
arthritis	0.132658
cirrhosis	0.132242
diabetes	0.131338
"cystic fibrosis"	0.12542
psoriasis	0.116205
"multiple sclerosis"	0.115249
anemia	0.115148
Obesity	0.113684
gangrene	0.111813
dehydration	0.110032
dementia	0.109493
infertility	0.109019
ulcer	0.107526
glaucoma	0.106179
"rheumatoid arthritis"	0.105987
asthma	0.105163
thyroid	0.10474
"lung cancer"	0.103944
"blood clot"	0.0997131
"heat exhaustion"	0.0994747
lupus	0.0985791
"memory loss"	0.0981931
"respiratory disease"	0.0977175
"tooth decay"	0.0957646
"heart attack"	0.0955976
clotting	0.0939986
"malignant tumor"	0.0922376
cholesterol	0.0910292
heartbeat	0.0907478
bronchitis	0.0894301
apnea	0.0892623
cataract	0.0883645
pneumonia	0.0880135
myopia	0.0879622
suffocation	0.0876811
relapse	0.0873774
"lead poisoning"	0.0871806
"colon cancer"	0.0863595
deafness	0.0861288
hemophilia	0.0856031
hepatitis	0.0854237
hemorrhage	0.0853384
ailment	0.0852345
"skin cancer"	0.0833758
allergy	0.0832265
hypothermia	0.0804681
menopause	0.0803787
malignancy	0.0797656
"eye disease"	0.0788585
homocysteine	0.0781839
"heart condition"	0.0781205
impotence	0.0773426
melanoma	0.0773189
complication	0.0770811
nearsightedness	0.0764204
recidivism	0.0762887
"heroin addiction"	0.0760562
SIDS	0.0754232
trachoma	0.0751367
leukemia	0.074652
tumor	0.0746118
"skin disease"	0.0745963
"acquired immune deficiency syndrome"	0.0740015
schizophrenia	0.0732451
"juvenile delinquency"	0.0730795
adulteration	0.0726156
autism	0.0723984
gonorrhea	0.0723533
influenza	0.0716088
jaundice	0.0715021
miscarriage	0.0712843
clot	0.071237
malnutrition	0.0708279
"chest pain"	0.0707075
"mental disorder"	0.0703527
Meningitis	0.0690386
"blood sugar"	0.0688326
rollovers	0.0687451
migraine	0.0686126
incontinence	0.068592
dysfunction	0.0679645
gallstone	0.0677339
"brain tumor"	0.0670707
dyslexia	0.0669758
"Lyme disease"	0.0669566
morbidity	0.0669448
decomposition	0.0662722
"Type @"	0.0660738
Alcoholism	0.0659243
arrhythmia	0.0654125
"coal gas"	0.0652691
baldness	0.0650694
"dog bite"	0.0648537
inhalation	0.0646965
botulism	0.0645932
"muscular dystrophy"	0.0645496
malady	0.0644682
blindness	0.0641522
"substance abuse"	0.0639101
sickness	0.0638433
sunburn	0.0633074
blockage	0.063293
delinquency	0.0630037
"mental illness"	0.0628684
vasectomy	0.0627868
"engine failure"	0.0622255
tuberculosis	0.0620349
deflation	0.0616835
corrosion	0.0616185
sedation	0.0612295
reflux	0.0611449
overheating	0.060809
frostbite	0.0607905
marginalization	0.0604988
acne	0.060337
"hepatitis B"	0.0601996
poisoning	0.0596284
fibrillation	0.0594078
abscess	0.0590587
"art movement"	0.0587012
lymphoma	0.0585846
"back pain"	0.0582975
mortality	0.0581866
overdose	0.0581114
CJD	0.0578137
"sexually transmitted disease"	0.0571475
infestation	0.0567652
leprosy	0.0563577
degradation	0.0563051
cryptosporidium	0.0562605
"neurological disease"	0.0559681
"genetic disease"	0.0559166
recurrence	0.0558721
"infectious disease"	0.055391
impairment	0.0552033
"risk factor"	0.0545634
Exhaustion	0.0545451
narcolepsy	0.0542913
intoxication	0.0541222
"drug addiction"	0.054078
Psychosis	0.0538317
indigestion	0.0537623
polarization	0.0537383
toxicity	0.0537149
overvaluation	0.0536932
"asthma attack"	0.0535142
puberty	0.0535124
"venereal disease"	0.0534724
myeloma	0.0534653
Chlamydia	0.0532834
degeneration	0.0530697
anorexia	0.0530677
IDD	0.0530462
dioxin	0.0530198
amputation	0.0529203
retardation	0.0528066
STDs	0.0524731
"cancer death"	0.052405
"plant disease"	0.0523525
"dengue fever"	0.0519775
melting	0.0519632
"manic depression"	0.0516703
hospitalization	0.0515933
Lumbini	0.0514338
salinity	0.0513708
"power failure"	0.0513681
brownout	0.0513454
atrophy	0.051252
condensation	0.0512044
heredity	0.0509565
"blood pressure"	0.0508055
"upset stomach"	0.0504501
giardia	0.0503628
inflammation	0.0503259
dilation	0.0500095
sterility	0.0495825
"heart valve"	0.04957
olestra	0.04924
"moral hazard"	0.0489699
"food poisoning"	0.0489299
stalling	0.0486719
"financial loss"	0.0485086
side-effects	0.0484775
))
(Atherton (desc 3714.45) (sims
Hussain	0.191148
"Nasser Hussain"	0.152702
"Mike Atherton"	0.126789
Woodside	0.0999705
Brentwood	0.0971958
"Mark Ramprakash"	0.0947902
"Mission Viejo"	0.093883
"Mark Butcher"	0.0900589
"Bel Air"	0.0891955
"Studio City"	0.0883535
Brogna	0.0851881
"Pacific Palisades"	0.0843783
"Mill Valley"	0.0820886
"Palo Alto"	0.0820559
Chappaqua	0.0814353
"South San Francisco"	0.079694
"Hollywood Hills"	0.0786558
"Redwood City"	0.078585
Greenwich	0.0752575
Englewood	0.0746205
"Santa Rosa"	0.0745916
Bridgehampton	0.0745284
Carmel	0.0740206
"San Mateo"	0.073819
Ballymoney	0.0733145
Reseda	0.0730066
Hick	0.0719341
Ojai	0.0718846
Sunnyvale	0.0713973
Sausalito	0.0709251
"Alec Stewart"	0.0705624
Meares	0.070032
Emeryville	0.0700025
"San Carlos"	0.0698202
Berasategui	0.069651
Chilavert	0.0687646
Chatsworth	0.0684485
"Thousand Oaks"	0.0678083
"Woodland Hills"	0.0676622
"Walnut Creek"	0.0675834
"Manhattan Beach"	0.0671136
McLean	0.0670495
Encino	0.0670052
"La Jolla"	0.0665374
Atler	0.0659749
Loretta	0.0655099
"Gary Kirsten"	0.0654456
Asprilla	0.0652608
Claremont	0.0651709
Hillsborough	0.0650933
"Justin Langer"	0.0650336
Wheaton	0.0649822
"Paradise Valley"	0.064972
Muralitharan	0.0648131
Giambi	0.0641697
"Menlo Park"	0.0634615
Crewe	0.0632351
Ipswich	0.0628512
Vidro	0.0620237
Gugliotta	0.0617939
Stafford	0.0617264
Sautin	0.0616081
Andretti	0.0614751
"East Hampton"	0.0608852
Stockton	0.0608721
Calabasas	0.0607087
Janzen	0.0605561
Medina	0.06055
Ceballos	0.0603834
"Santa Clarita"	0.0602678
"Huntington Beach"	0.0602593
"Simi Valley"	0.059802
Montclair	0.0598013
D'Amico	0.0596443
Fresno	0.0592505
Nakata	0.0592232
Oxnard	0.0588504
Dunston	0.0588387
"Palm Springs"	0.058725
Lieberthal	0.058307
Sussex	0.0582437
Brunell	0.0581445
"Mountain View"	0.0581349
Stinnett	0.0581344
Camarillo	0.0581018
Alou	0.0580981
"Westlake Village"	0.058094
"Granada Hills"	0.0580275
Alpharetta	0.0579747
Ripken	0.0577535
Petaluma	0.0577504
Corretja	0.0575036
Malibu	0.0575002
Bjorkman	0.0574651
Weston	0.0574204
"Larry Nelson"	0.0572667
"Santa Monica"	0.0570276
"New Rochelle"	0.0570243
"Santa Maria"	0.056817
Needham	0.0567158
Eureka	0.056701
riverside	0.0566624
Sanchez-Vicario	0.0565845
O'Meara	0.056498
Hagi	0.056491
Tarzana	0.0561212
"Van Roost"	0.0559812
Fryman	0.0559117
"Ricky Ponting"	0.0558805
Stoltenberg	0.0558242
Polgar	0.0557267
Danville	0.0556895
"New Canaan"	0.0555476
"Van Nuys"	0.0553341
Westport	0.0552671
"Marin County"	0.0552451
Majoli	0.0551495
Antioch	0.0550578
Seles	0.0550392
Southampton	0.0549521
Fullerton	0.0549093
Roenick	0.054889
"El Segundo"	0.0546811
"Beverly Hills"	0.0546412
Burlingame	0.0545229
ARCADIA	0.0545094
seaside	0.0544898
Winchester	0.0544598
"Sherman Oaks"	0.0544239
Caminiti	0.0543705
Mickelson	0.0543521
Northridge	0.0541017
Counsell	0.0539672
BRIGHTON	0.0537112
Knievel	0.0536642
Redding	0.0535556
Hattiesburg	0.0534851
Kennebunkport	0.0534235
Catalanotto	0.0534052
"Century City"	0.0533982
Alomar	0.0533769
Kallis	0.0533591
Guillen	0.0533059
Surrey	0.0532015
"Kevin Jordan"	0.0531883
Hampshire	0.053134
LAKEWOOD	0.0530239
Sonoma	0.052978
Falmouth	0.0529626
Gilkey	0.0527292
Leyritz	0.0527035
"Jonty Rhodes"	0.0526354
Lapentti	0.0525526
Pleasanton	0.0519891
Kasparov	0.0519372
Burks	0.0518728
Beltre	0.0518394
"San Rafael"	0.0518168
Palmeiro	0.0517091
Lafayette	0.0516912
lakeside	0.0516426
Woodbridge	0.0516327
"Greek Revival"	0.0516176
Guerrero	0.0514817
Barrington	0.0514484
Burnitz	0.0514427
"Palm Beach Gardens"	0.0514271
Lennox	0.0513898
Veras	0.0513766
Dixon	0.0513405
"J.T Snow"	0.0511235
Sexson	0.0510875
Hastings	0.0510487
Alicea	0.0510054
Hollandsworth	0.0509584
Klesko	0.0509198
Dawes	0.0508849
Baerga	0.0507839
McLemore	0.0506373
Dunwoody	0.0506342
Milton	0.0505696
Palffy	0.0504059
Novotna	0.0503227
DeShields	0.0503131
Daubach	0.0502415
Cirillo	0.0501757
"El Guerrouj"	0.0500809
Surhoff	0.0500591
Turek	0.0500051
batsmen	0.0499549
Tatis	0.0499103
Berard	0.0498995
"Jacques Kallis"	0.0498507
Fiedler	0.0498369
Duluth	0.0497981
Musashimaru	0.0497824
Velarde	0.0497767
Lindros	0.0497751
Shenhua	0.0497227
Lansing	0.0497025
))
(athlete (desc 144286) (sims
player	0.182363
swimmer	0.161961
student	0.159019
woman	0.145682
people	0.142118
artist	0.13608
"basketball player"	0.135323
person	0.131626
individual	0.131256
kid	0.130014
musician	0.12991
man	0.128734
"football player"	0.127489
performer	0.126771
teacher	0.125184
team	0.122464
golfer	0.121182
citizen	0.12092
worker	0.12069
professional	0.120307
politician	0.119916
child	0.1192
patient	0.119138
youngster	0.119077
American	0.117869
member	0.117574
employee	0.117381
actor	0.115727
cyclist	0.115104
doctor	0.114525
journalist	0.114392
rider	0.114303
gymnast	0.113936
youth	0.113358
guy	0.113137
girl	0.111173
runner	0.110375
adult	0.108587
scientist	0.108441
sprinter	0.10792
teen-ager	0.107498
"baseball player"	0.107243
businessmen	0.106909
boxer	0.106758
driver	0.106504
participant	0.105927
writer	0.105406
skater	0.105178
fan	0.103373
senior	0.103355
parent	0.103287
coach	0.103039
entrepreneur	0.102627
immigrant	0.102614
veteran	0.102574
consumer	0.102152
applicant	0.102053
sport	0.102028
resident	0.101785
farmer	0.101093
inmate	0.100926
star	0.100864
dancer	0.100318
skier	0.0998957
candidate	0.0998579
anyone	0.0998217
soldier	0.0997261
celebrity	0.0994509
volunteer	0.0993146
competitor	0.0989218
entertainer	0.0988234
boy	0.097792
officer	0.0976724
investor	0.097271
"young man"	0.0969486
male	0.096926
wrestler	0.0968125
those	0.096222
"college student"	0.0961022
teens	0.09566
filmmakers	0.0951734
foreigner	0.0944395
someone	0.0941841
racer	0.0941148
teenager	0.0938403
quarterback	0.0938171
family	0.0933988
victim	0.0928045
singer	0.0924953
personnel	0.0918386
tourist	0.0918311
pitcher	0.091682
official	0.0913033
scholar	0.0910681
voter	0.0908118
recruit	0.090783
client	0.0903405
traveler	0.0902888
graduate	0.0902716
company	0.0901489
customer	0.0900312
weightlifter	0.0898707
"police officer"	0.0896976
African-American	0.0896547
sailor	0.0896502
academic	0.0894535
physician	0.0893095
student-athletes	0.0892533
shuttlers	0.0892044
medalist	0.08909
fighter	0.0886088
owner	0.0886047
delegate	0.0885568
champion	0.0885327
others	0.0884599
pupil	0.0883568
Reader	0.0881015
leader	0.0879814
activist	0.0879603
minority	0.0878814
recipient	0.0878769
prisoner	0.0877156
"tennis player"	0.087577
contestant	0.0874983
visitor	0.087362
pilot	0.0873472
Chinese	0.087182
everyone	0.0871294
freshmen	0.0866817
viewer	0.0866781
manager	0.0865854
educator	0.0865623
black	0.0864206
horse	0.0862238
diver	0.0861974
"civil servant"	0.0859389
user	0.0856993
passenger	0.0856973
"military personnel"	0.0856627
diplomat	0.0856079
"business leader"	0.0855603
group	0.0854148
executive	0.0852877
Jew	0.0851428
hero	0.0850869
offender	0.0849612
actress	0.0848795
guest	0.0846603
buyer	0.0845623
criminal	0.0845113
Republican	0.0844746
female	0.0843088
ballplayer	0.0840787
composer	0.0839875
"human being"	0.0839583
Amateur	0.0837634
Olympian	0.0836606
"staff member"	0.0834892
talent	0.0834476
folk	0.0832493
designer	0.0832108
"hockey player"	0.083168
expert	0.0829618
animal	0.0827361
"family member"	0.0826461
shooter	0.0824919
"young woman"	0.0823003
"movie star"	0.0822469
lawyer	0.08218
"university student"	0.0820649
spectator	0.0819725
"business executive"	0.081838
jock	0.0818092
anybody	0.081526
lawmaker	0.0815202
banker	0.0812764
organization	0.0812753
refugee	0.0812621
them	0.0809064
employer	0.0808647
everybody	0.0808618
defendant	0.0808404
legislator	0.0808094
medal	0.080434
smoker	0.080221
astronaut	0.0799139
staff	0.0797113
superstar	0.0796589
"elected official"	0.0788985
policemen	0.0785936
"senior citizen"	0.0785189
footballer	0.078409
poet	0.0783733
servicemen	0.078287
teammate	0.078198
climber	0.0780746
listener	0.0779923
donor	0.0779463
photographer	0.0777473
country	0.0776655
))
("Athletic Bilbao" (desc 1747.6) (sims
Sevilla	0.299891
"Real Betis"	0.297739
Espanyol	0.293499
"Real Sociedad"	0.287495
"Celta Vigo"	0.272934
Villareal	0.265572
"Albert Portas"	0.235307
Tenerife	0.229922
Besiktas	0.213254
"Atletico Madrid"	0.198795
Alaves	0.193505
"Slavia Prague"	0.190791
Estudiantes	0.188379
"Deportivo Coruna"	0.185097
"Galo Blanco"	0.183879
"Magui Serna"	0.176909
"Paris St Germain"	0.168331
Malaga	0.168163
Brondby	0.167623
"VfB Stuttgart"	0.166769
"Coventry City"	0.16563
Valladolid	0.165548
"Javier Sanchez"	0.163773
"Mariano Zabaleta"	0.162639
Betis	0.158075
"Carlos Costa"	0.157325
"Croatia Zagreb"	0.155834
Bastia	0.154638
Zaragoza	0.154156
"Adrian Voinea"	0.153805
"Francisco Clavet"	0.15282
Gremio	0.149947
"Schalke @@"	0.149598
Extremadura	0.149206
Valencia	0.149019
Fenerbahce	0.147607
"Sergi Bruguera"	0.147091
Salernitana	0.146959
Salamanca	0.146938
Necaxa	0.145787
"Newcastle United"	0.14574
"Blackburn Rovers"	0.145597
"Hernan Gumy"	0.145404
Penarol	0.144061
"Deportivo La Coruna"	0.143848
"Partizan Belgrade"	0.142899
"Velez Sarsfield"	0.142677
Bilbao	0.142561
Zamalek	0.142376
"Borussia Moenchengladbach"	0.142214
"San Lorenzo"	0.140873
"Bradford City"	0.140817
Atalanta	0.140464
Vitoria	0.138878
"Gianluca Pozzi"	0.138876
"Qingdao Hainiu"	0.138132
Cruzeiro	0.138026
Auxerre	0.137521
"Julian Alonso"	0.13749
"Albert Costa"	0.137486
"Leicester City"	0.137467
"Naoko Sawamatsu"	0.136748
Metz	0.135938
Rosenborg	0.135378
"Alberto Costa"	0.135195
Nacional	0.134264
"Olympique Marseille"	0.133963
"Alberto Berasategui"	0.133822
"PSV Eindhoven"	0.133483
Torino	0.133146
Atletico	0.132855
"Juan Antonio Marin"	0.132477
Celta	0.132198
Lecce	0.130879
"Derby County"	0.1298
"Nottingham Forest"	0.128594
Schalke	0.128499
"Sarah Pitkowski"	0.128349
Watford	0.127832
"Nathalie Dechy"	0.127747
"Dynamo Kiev"	0.126436
Mallorca	0.126166
Benfica	0.125755
"Real Madrid"	0.125673
"Leeds United"	0.125319
Heerenveen	0.125021
"Silvia Farina"	0.12456
"Kenneth Carlsen"	0.124093
Cagliari	0.123808
Anderlecht	0.123053
"Arnaud Di Pasquale"	0.122265
Feyenoord	0.122201
"Mariano Puerta"	0.122134
Oviedo	0.121615
"Olympiakos Piraeus"	0.121544
"Sargis Sargsian"	0.121193
"Joannette Kruger"	0.120977
"Sebastien Grosjean"	0.120201
"Werder Bremen"	0.1202
Panathinaikos	0.120016
"Jerome Golmard"	0.119995
"Elena Likhovtseva"	0.11996
Venezia	0.119677
"Guangdong Hongyuan"	0.119166
"Andreas Vinciguerra"	0.118207
"VfL Wolfsburg"	0.117919
"Anne Kremer"	0.117797
"Vincent Spadea"	0.11768
"Borussia Dortmund"	0.117635
"Spartak Moscow"	0.117581
"AEK Athens"	0.116808
"Magdalena Maleeva"	0.116576
Independiente	0.116492
"Fabrice Santoro"	0.116293
"Renzo Furlan"	0.116275
"Arnaud Clement"	0.115796
"Chinese Army"	0.115791
"Marcelo Filippini"	0.115161
"Christian Ruud"	0.114946
"Karim Alami"	0.114352
"Hicham Arazi"	0.114349
"Sabine Appelmans"	0.11401
"Guangzhou Apollo"	0.11399
"Hertha Berlin"	0.113943
"Sturm Graz"	0.113237
"Sichuan Quanxing"	0.113235
"Andrei Pavel"	0.112511
"Felix Mantilla"	0.112422
"Richard Fromberg"	0.1121
"Nicole Pratt"	0.111487
"Ruxandra Dragomir"	0.1113
Palmeiras	0.111135
Tarango	0.110879
"Rainer Schuttler"	0.110474
"Franco Squillari"	0.11047
"Tatiana Panova"	0.11019
Piacenza	0.109228
Middlesbrough	0.109158
"Barbara Schwartz"	0.108911
"Paola Suarez"	0.108745
"West Ham United"	0.108206
"Dominique Van Roost"	0.108077
"Conchita Martinez"	0.108074
Habsudova	0.108066
Meligeni	0.107953
"Wayne Black"	0.107714
Obilic	0.107326
"Asa Carlsson"	0.107232
"Juan Carlos Ferrero"	0.106816
"Guy Forget"	0.106515
"Bayern Munich"	0.106101
"Colo Colo"	0.105896
"Florencia Labat"	0.105621
"Bayer Leverkusen"	0.105571
"Scott Draper"	0.105499
"Shanghai Shenhua"	0.104633
Olimpia	0.104295
"Roger Federer"	0.104277
"Red Star"	0.104005
Sunderland	0.103911
"Kinder Bologna"	0.103874
Schett	0.103683
"FC Porto"	0.103671
Kaiserslautern	0.103403
"Amy Frazier"	0.10301
"Dalian Wanda"	0.102303
"Davide Sanguinetti"	0.10191
"Magnus Gustafsson"	0.101872
"Nicolas Escude"	0.101711
"Jiri Novak"	0.101611
"Leander Paes"	0.101452
"Shanghai Sharks"	0.10103
"Slava Dosedel"	0.100726
"Judith Wiesner"	0.100581
"Ramon Delgado"	0.10033
"Jason Stoltenberg"	0.0998018
"Sjeng Schalken"	0.0995968
Flamengo	0.0995942
"Jeff Tarango"	0.0995831
Shenhua	0.099562
Kroslak	0.0994773
"Catalina Cristea"	0.0994066
"Arantxa Sanchez-Vicario"	0.0993674
"Sebastien Lareau"	0.099273
"Xavier Malisse"	0.099037
Olympiakos	0.0987265
"Ai Sugiyama"	0.0986982
"Nicolas Kiefer"	0.0985271
Udinese	0.0985215
"Miriam Oremans"	0.0984718
Rennes	0.0982499
Deportivo	0.0981909
"Jubilo Iwata"	0.0976664
"Filip Dewulf"	0.0971543
Hongyuan	0.0966904
Dosedel	0.0965905
"River Plate"	0.0963159
"Guillaume Raoux"	0.0961958
"Daniel Nestor"	0.0961379
"Seibu Lions"	0.0959962
))
("athletic facility" (desc 1122.76) (sims
"residence hall"	0.131476
"music school"	0.0863302
"data system"	0.0854722
"telephone system"	0.0832399
"sewage system"	0.0832207
"transportation system"	0.0820328
"academic program"	0.0806012
"clock tower"	0.0791871
"pedestrian bridge"	0.0769459
"endowment fund"	0.0764121
"reading room"	0.075123
urbanism	0.0736797
"domed stadium"	0.0733664
"reading program"	0.0725071
"software system"	0.0704543
E-ZPass	0.0697556
granary	0.0691346
"particle accelerator"	0.0688634
"fire wall"	0.0659268
turbogenerator	0.0658742
"security system"	0.0652609
"railway system"	0.0652503
"business line"	0.0652027
"point system"	0.0647142
webcams	0.0645878
"public toilet"	0.0642145
"football stadium"	0.0640995
"fire station"	0.0632393
"computer application"	0.0626508
"line of products"	0.0620725
"recreational facility"	0.0619316
waterworks	0.0619206
"power grid"	0.0616515
"production facility"	0.0612017
"media property"	0.0607299
"vocational school"	0.0597048
"assembly hall"	0.0596004
"surveillance system"	0.0593998
"tax base"	0.0591706
"blast furnace"	0.0589008
"sewer line"	0.0588454
"mainframe computer"	0.0586416
"training school"	0.0583322
playroom	0.0582869
"telephone network"	0.05824
"baseball coach"	0.0580431
"business unit"	0.0580201
"pipe organ"	0.0579592
"degree program"	0.057756
"Bay Bridge"	0.0574658
"suspension bridge"	0.0571589
"office space"	0.057075
"sewer system"	0.0569803
"water project"	0.0569438
"legal representation"	0.0566381
"storage tank"	0.0564816
"drainage system"	0.0563715
"exhibition hall"	0.0562233
"fraternity house"	0.0561757
"radio telescope"	0.0558891
megaplexes	0.0558583
planetarium	0.0557905
"cable system"	0.055778
"master plan"	0.0555912
"support system"	0.0555674
"compensation package"	0.0555575
"water plant"	0.0555335
"concert hall"	0.0552153
suffix	0.0549707
curricula	0.0542356
"benefit program"	0.0539001
"hand tool"	0.0538352
"botanical garden"	0.0537064
"service program"	0.0535617
"living quarters"	0.05344
affordability	0.0533956
"ventilation system"	0.0533848
Acela	0.0532406
"Potsdamer Platz"	0.0527598
"computer equipment"	0.052704
"Millennium Dome"	0.0526557
"fringe benefit"	0.052566
"history department"	0.0523885
"automatic teller machine"	0.0522701
"sales outlet"	0.0522212
"distribution network"	0.0520796
"employment contract"	0.0520082
"flight simulator"	0.0519956
"building code"	0.0518288
iteration	0.0518124
"communications network"	0.0518057
"day care center"	0.0517755
supercomputer	0.0516931
"trunk road"	0.0514032
firehouse	0.0511115
stadia	0.0509488
"educational activity"	0.0509057
"software package"	0.0508941
"pumping station"	0.0507153
"public works"	0.0503121
pontoon	0.0501551
"transmission line"	0.0501408
"Miller Park"	0.0499957
"civic center"	0.0499355
"weapons system"	0.0498586
"Ferris wheel"	0.0498521
"water system"	0.0497909
"Terminal @"	0.0495253
streetlight	0.0493759
"freshman class"	0.0493038
"bond rating"	0.0492651
"voting system"	0.049224
"booster rocket"	0.0489743
"catalytic converter"	0.0488966
showplace	0.0488286
"bricks and mortar"	0.0487736
abacus	0.0487536
"Grand Canal"	0.0484541
"three words"	0.0483834
"application program"	0.0481015
"atom bomb"	0.0479815
"heating system"	0.0479708
"port of call"	0.0478786
"personal relation"	0.0478442
"operating budget"	0.0476092
"paper cup"	0.0475393
"nuclear-powered submarine"	0.0474892
"scientific instrument"	0.0473359
"mass transit"	0.0473164
"trading floor"	0.0473117
"cooling system"	0.0472927
"septic tank"	0.0470344
"urban planning"	0.0470035
CDMA	0.046949
caseload	0.0469441
motherboards	0.0468555
perquisite	0.0468173
stockyard	0.0468081
accelerator	0.0467815
"planning board"	0.0467636
"two units"	0.0467542
cistern	0.0466238
interchange	0.046366
typeface	0.0462648
"well water"	0.0462029
"sailing vessel"	0.0461831
"economics department"	0.0461695
"sugar refinery"	0.0461427
"trunk line"	0.0461252
"rail line"	0.0459748
reverberation	0.0459167
"gas line"	0.045886
"private foundation"	0.0458671
"safety measure"	0.0456782
"phone system"	0.045675
get-togethers	0.0456174
sarcophagus	0.0456099
stents	0.0455211
"Playstation II"	0.0455017
"tax advantage"	0.045468
"highway system"	0.0453903
playmakers	0.0453081
"PT Cruiser"	0.0453056
megaplex	0.0452516
Bathhouse	0.0450741
"railroad line"	0.0450588
"summer house"	0.0448392
"telephone exchange"	0.0446291
"ice rink"	0.0446007
downtime	0.0445813
"science museum"	0.0445613
"accounting system"	0.0444594
"farm team"	0.0443876
"line of business"	0.044324
AWACS	0.0442148
skyboxes	0.043992
"marketing program"	0.0439871
"creature comforts"	0.0439829
watchtower	0.0439606
treehouse	0.0439187
"development organization"	0.0439141
"cash bonus"	0.0438427
"rocket engine"	0.0437926
"cost of living"	0.0437354
"power unit"	0.043671
"subway station"	0.0436428
"work unit"	0.0435404
"Memorial Hall"	0.0435212
"investment climate"	0.0434867
"communication system"	0.0434831
"computer hardware"	0.0434496
slickness	0.04342
"subsidiary company"	0.0433391
"recreation room"	0.0431512
emulator	0.0431443
concourse	0.0430817
"retail store"	0.0430767
"retirement benefit"	0.0429709
mockup	0.0429609
boiler	0.0429143
))
("athletic field" (desc 1742.01) (sims
"ball field"	0.100713
"tennis court"	0.0981433
berm	0.076771
"picnic area"	0.0722646
"football field"	0.0693133
seawall	0.0682953
"conference center"	0.0660652
"Media Lab"	0.0649366
"basketball court"	0.0646501
Ellipse	0.0645774
"skating rink"	0.0632554
heliport	0.0594948
"pitcher's mound"	0.0590847
"football stadium"	0.0580599
waterworks	0.0556856
"public address system"	0.0550732
latrine	0.0547717
lean-to	0.0546141
"residence hall"	0.0543641
Quay	0.0542618
"recreational facility"	0.0532692
Igloo	0.0532207
walkway	0.0528089
"tea house"	0.0527945
"reading room"	0.0526867
"driving range"	0.0523019
gymnasium	0.0521717
"third and @"	0.0520741
"resort hotel"	0.0519437
"industrial park"	0.0517697
"Pudong International Airport"	0.0516115
"landing craft"	0.0512055
greenhouse	0.0507075
smelter	0.0501858
"sea lane"	0.0496063
"domed stadium"	0.0496041
airstrip	0.0490092
"degree program"	0.048845
"particle accelerator"	0.0487394
savanna	0.0484312
campground	0.0484127
amphitheater	0.0482201
knoll	0.0480517
"gambling casino"	0.0480399
"ice rink"	0.0476082
shanty	0.0474219
"access road"	0.0471716
"housing development"	0.0471454
"subway station"	0.0460912
quadrangle	0.0458299
townhouses	0.0457332
"recreation room"	0.0449495
"vacant lot"	0.0448012
ledge	0.0444194
"bowling alley"	0.0440444
"camp site"	0.044003
overpass	0.0439485
"sewer system"	0.0437219
"petrol station"	0.0436217
"car park"	0.0435363
"Terminal @"	0.0434479
"academic program"	0.0434122
Parkway	0.0433476
jetty	0.0433355
"landing strip"	0.0433143
dais	0.0432813
"stone wall"	0.0428317
"entertainment center"	0.0428293
spas	0.0422903
"Court @"	0.0422161
"dance hall"	0.042111
"practice range"	0.0418174
"baseball diamond"	0.0413748
sauna	0.0412002
easel	0.0403134
"traffic circle"	0.0402035
"Highway @@@"	0.04019
"beauty salon"	0.0400575
"building site"	0.0400417
))
(athleticism (desc 13168) (sims
quickness	0.204308
agility	0.169653
versatility	0.159561
explosiveness	0.148574
stamina	0.14276
toughness	0.140916
poise	0.138345
tenacity	0.128673
talent	0.127723
skill	0.123394
aggressiveness	0.121757
teamwork	0.11333
mobility	0.112963
grit	0.111731
intensity	0.106249
endurance	0.10619
finesse	0.105564
strength	0.104717
charisma	0.103016
speed	0.102168
courage	0.10155
flexibility	0.100015
composure	0.0991632
dexterity	0.0985133
depth	0.0977234
ability	0.0977122
firepower	0.0969298
intellect	0.0966978
Creativity	0.0957011
vigor	0.0956942
professionalism	0.0943287
fortitude	0.0937152
guile	0.0932759
resiliency	0.0926619
footwork	0.0910768
intelligence	0.090879
maturity	0.087666
resilience	0.0876192
breadth	0.0873405
determination	0.0871424
enthusiasm	0.0865975
grace	0.0864578
flair	0.086314
durability	0.0854828
instinct	0.0849273
self-confidence	0.0848993
wit	0.0840107
vitality	0.0839672
dedication	0.0838259
artistry	0.0834337
acumen	0.0833884
foresight	0.0829914
sophistication	0.0824155
persistence	0.0818333
subtlety	0.0802335
energy	0.0799747
clarity	0.0799344
competence	0.0796784
patience	0.0793951
nimbleness	0.0792454
physique	0.0792414
dynamism	0.0792059
perseverance	0.0791343
intuition	0.0790087
eloquence	0.0780981
bravery	0.0778294
"good looks"	0.0776683
savvy	0.0768963
physicality	0.0767048
"natural ability"	0.0765687
precision	0.0764705
spunk	0.076195
brawn	0.076105
prowess	0.0759777
hustle	0.075835
consistency	0.075644
generosity	0.0747337
"raw talent"	0.0746649
musicianship	0.0743919
maneuverability	0.0743555
sportsmanship	0.0743477
craftsmanship	0.0742902
ingenuity	0.0741252
expertise	0.0740894
immediacy	0.0737502
diligence	0.0736939
"hard work"	0.073444
charm	0.0733345
daring	0.0731626
empathy	0.0731311
passion	0.0730361
spontaneity	0.0725679
confidence	0.0724709
beauty	0.0720619
unselfishness	0.0719913
freshness	0.0718141
decisiveness	0.0718006
accuracy	0.0717418
reflex	0.0714028
willpower	0.0712657
capability	0.0709155
inexperience	0.0707229
boldness	0.0706378
personality	0.0703331
elegance	0.0700327
wingspan	0.0696794
complexity	0.0692501
"sex appeal"	0.0691655
ferocity	0.0689304
honesty	0.0689072
lightness	0.068698
chutzpah	0.0680673
brilliance	0.0675398
efficiency	0.0675341
earnestness	0.0671507
ethic	0.0670763
excitement	0.0669342
heft	0.0667655
gumption	0.0666222
emotion	0.0663836
Luck	0.0663526
camaraderie	0.0662387
warmth	0.0661564
"reaction time"	0.0661325
humor	0.065146
desire	0.0650935
pizazz	0.0650149
wisdom	0.0647863
temperament	0.0647484
humility	0.0643464
excellence	0.0642846
statesmanship	0.0641705
conditioning	0.0640357
resourcefulness	0.0638338
willingness	0.0637283
dignity	0.0635963
"economies of scale"	0.0633278
know-how	0.0633254
compassion	0.0630546
exuberance	0.0630413
demeanor	0.0629043
"sense of humor"	0.0628623
aptitude	0.0628095
elusiveness	0.0627936
knowledge	0.0625967
mastery	0.0625953
assertiveness	0.0622569
candor	0.0620446
clout	0.0619463
richness	0.0617751
virtuosity	0.0617434
originality	0.0616111
brainpower	0.0612106
competitiveness	0.0609108
cohesiveness	0.060639
graciousness	0.0606159
diversity	0.0604288
deftness	0.0602509
tact	0.0601248
Cunning	0.0598057
concentration	0.0596378
accomplishment	0.0595945
discipline	0.0594788
velocity	0.0594411
bluntness	0.0589538
stature	0.0588109
proficiency	0.0587076
buoyancy	0.0586003
spirit	0.0585163
motivation	0.0580088
sharpness	0.0579765
timing	0.0579685
sincerity	0.057697
technique	0.0576807
glamour	0.0576161
stubbornness	0.0576153
"staying power"	0.057495
fearlessness	0.0574157
derring-do	0.0572404
ambition	0.0569549
fitness	0.0566128
groundstrokes	0.0564851
adaptability	0.056484
musicality	0.0563977
ego	0.0562405
moxie	0.0561879
vision	0.0561226
integrity	0.0558933
innovation	0.0552707
newness	0.0551049
swagger	0.0550432
seriousness	0.0549945
fluency	0.0549245
Panache	0.0545205
gut	0.0541117
self-control	0.0541075
texture	0.054094
inventiveness	0.0540209
nerve	0.053652
"common sense"	0.0535562
))
(athletics (desc 34084.7) (sims
"track and field"	0.234773
badminton	0.19122
volleyball	0.191149
cycling	0.190154
weightlifting	0.188268
Gymnastics	0.186205
judo	0.179924
"table tennis"	0.17881
swimming	0.171155
archery	0.166943
"water polo"	0.162782
rowing	0.160322
taekwondo	0.157341
"field hockey"	0.156389
soccer	0.154111
boxing	0.149096
softball	0.142594
basketball	0.140791
tennis	0.138165
sport	0.134353
pentathlon	0.133534
A's	0.133098
wrestling	0.130971
"figure skating"	0.129922
handball	0.129745
triathlon	0.125323
hockey	0.124252
"blue jay"	0.122391
football	0.116727
Wushu	0.114232
Yachting	0.113312
Rugby	0.112989
Bowling	0.112247
Royals	0.10965
fencing	0.107901
takraw	0.107878
golf	0.107122
diving	0.106767
"White Sox"	0.104373
Orioles	0.103539
karate	0.10275
Padre	0.10268
"track meet"	0.102206
equestrian	0.101544
"ice hockey"	0.101042
Phillies	0.100462
cricket	0.0998005
"Red Sox"	0.099011
snooker	0.0987483
cub	0.0982863
baseball	0.0977468
skiing	0.0968569
"devil ray"	0.0967557
"horse racing"	0.0942057
mariner	0.0940351
"Oakland Athletics"	0.0933025
men's	0.0928322
Yankee	0.0917721
diamondback	0.0915018
ranger	0.0914141
ASTROS	0.0907809
dodger	0.0904365
Skating	0.0893292
marlin	0.088884
brave	0.0874546
angel	0.0872898
"Boston Red Sox"	0.0869137
Giants	0.0866984
Racing	0.0865185
brewer	0.0864447
"New York Mets"	0.0861674
"San Francisco Giants"	0.0853614
billiards	0.0850198
championship	0.0849804
"Toronto Blue Jays"	0.0846208
Mets	0.0844466
"Cleveland Indians"	0.0838944
Expo	0.0837834
Olympics	0.0837499
lacrosse	0.0825235
"Seattle Mariners"	0.0824736
"Commonwealth Games"	0.0813646
"St. Louis Cardinals"	0.0806013
twin	0.080582
"Chicago Cubs"	0.080525
Sox	0.0805242
marathon	0.0793286
"Los Angeles Dodgers"	0.0789163
"Asian Games"	0.078903
cardinal	0.0787578
pirate	0.0786749
"Texas Rangers"	0.0784774
Oakland	0.0783514
"Grand Prix"	0.0781642
decathlon	0.0781469
tiger	0.0774729
"Milwaukee Brewers"	0.0770944
Rockies	0.0769133
Heptathlon	0.076134
"World Athletics Championships"	0.0760367
"Kansas City Royals"	0.0760262
"Chicago White Sox"	0.0759335
"Minnesota Twins"	0.0749414
chess	0.0747276
"Olympic Games"	0.0738509
"Cincinnati Reds"	0.0738359
"Anaheim Angels"	0.0736588
event	0.0734966
Indian	0.073434
competition	0.0732422
tournament	0.072736
squash	0.0726347
"San Diego Padres"	0.0726192
"Colorado Rockies"	0.0725612
"Houston Astros"	0.0713758
"Montreal Expos"	0.0713297
"Philadelphia Phillies"	0.0710061
biathlon	0.0707548
"Pittsburgh Pirates"	0.0699484
"Pan American Games"	0.0697605
freestyle	0.0690791
epee	0.0690556
"Atlanta Braves"	0.0685128
"professional football"	0.0672551
"Baltimore Orioles"	0.0671623
"Tampa Bay"	0.0671239
"World Cup"	0.0670374
"New York Yankees"	0.0666413
"Detroit Tigers"	0.0664745
league	0.0656392
"long jump"	0.0654434
"World Championships"	0.0654151
"Atlanta Olympics"	0.0652088
"basketball team"	0.0649623
"high jump"	0.0643491
"Florida Marlins"	0.0639951
bodybuilding	0.0635802
red	0.0633108
"Goodwill Games"	0.0632592
ANAHEIM	0.0630853
"Arizona Diamondbacks"	0.0627757
politics	0.0621995
Cleveland	0.0615337
final	0.0610817
education	0.0607043
Toronto	0.0606373
aerobics	0.0602998
"basketball league"	0.0601304
slalom	0.060126
"football team"	0.0598119
Celtics	0.059667
"Tampa Bay Devil Rays"	0.0594139
"National Games"	0.0594051
"Sydney Olympic Games"	0.0592979
under-@@	0.0588823
Baltimore	0.058869
Seahawks	0.0587797
"cross country"	0.0587528
dressage	0.0586618
backstroke	0.0584214
"New York Islanders"	0.0582418
Timberwolves	0.0581087
NBA	0.0580192
Eagles	0.0573529
breaststroke	0.0573035
Journalism	0.0571986
"Sacramento Kings"	0.0570805
"Kansas City"	0.0568456
"Thomas Cup"	0.0568081
Colorado	0.0567692
coaching	0.0565258
art	0.0564678
relay	0.0563328
Arizona	0.0561065
"Edmonton Oilers"	0.0559175
Montreal	0.0559117
Cincinnati	0.0558838
Jazz	0.0558467
sailing	0.0557503
rodeo	0.0557077
"Sydney Olympics"	0.0556845
"ski jumping"	0.0555269
"Calgary Flames"	0.0554902
"shot put"	0.0552917
Atlanta	0.0552817
Seattle	0.0552444
scull	0.05522
"higher education"	0.0552057
"Summer Games"	0.0551864
"professional basketball"	0.0551693
Sonics	0.055169
packer	0.0550862
"basketball game"	0.0550572
Minnesota	0.0549347
"New England Patriots"	0.0547838
"pole vault"	0.0547034
"baseball team"	0.054676
"Atlanta Olympic Games"	0.0545688
MetroStars	0.0545014
"San Diego"	0.0543644
))
(Athlon (desc 2855.97) (sims
Celeron	0.308025
"Pentium III"	0.305821
Pentium	0.23897
"Pentium II"	0.238416
K@	0.230947
Cyrix	0.208034
processor	0.149802
G@	0.134618
Merced	0.130448
Transmeta	0.121481
Powerbook	0.120571
Gigahertz	0.114991
microprocessor	0.109808
megahertz	0.0998533
MII	0.096954
IC	0.0960823
AMD	0.0936254
"Microsoft Windows"	0.0925007
ADSL	0.0819904
dram	0.0804437
rom	0.0795148
"software product"	0.0764316
"UNIX operating system"	0.0757217
x@@	0.0752081
analog	0.0750496
DSP	0.0746035
Passat	0.0732544
mem	0.0715961
"Playstation @"	0.0713074
"Windows @@@@"	0.0705205
Dreamcast	0.0695519
motherboards	0.0693119
motherboard	0.0679031
"Office @@@@"	0.0677016
BLUETOOTH	0.067497
olestra	0.0663742
videophone	0.0661898
"Playstation II"	0.0653475
GPS	0.0629704
Ti	0.0628186
"Ford Focus"	0.0621029
"New Beetle"	0.0621024
Epogen	0.0613862
Alero	0.0612641
CPU	0.0606904
"Palm VII"	0.0604808
A@XX	0.0598989
"Jeep Grand Cherokee"	0.0587772
Solaris	0.0584872
"line of products"	0.0582433
C@@	0.0574387
"Ford Explorer"	0.0573548
nacho	0.0570744
copier	0.056896
silicon	0.0563299
"Intel Corp."	0.055891
"Windows CE"	0.0553897
Unix	0.0549294
"software package"	0.054844
supercomputer	0.0545023
ESCALADE	0.0544221
Macintosh	0.0538235
"hand-held computer"	0.0536984
PlayStation	0.0536424
iMac	0.0525796
"desktop computer"	0.0519622
iBook	0.0519195
III	0.0516662
iMacs	0.0515996
screamer	0.0515607
"coaxial cable"	0.0514691
Prius	0.0514152
"value added tax"	0.051411
desktop	0.0513242
"portable computer"	0.0512975
Avonex	0.0511563
"PT Cruiser"	0.0509343
"point system"	0.0508255
OS/@	0.0508046
"Palm III"	0.0506322
"mainframe computer"	0.0506302
"Starr Report"	0.0505947
CDMA	0.0505615
"integrated circuit"	0.0504082
stents	0.0494067
Thinkpad	0.0491707
hickory	0.0491518
"particle accelerator"	0.0485118
"compact car"	0.0483454
decoder	0.0481475
emulator	0.0479549
workstation	0.0469662
RealPlayer	0.0469105
Taurus	0.0465698
Shays-Meehan	0.0465032
Coupe	0.0463985
"quota system"	0.0463976
K-@	0.0461546
"programming language"	0.0461409
RAMBUS	0.0461165
microchip	0.0460569
"Windows @@"	0.0459887
Benecol	0.0459808
BIOS	0.0459743
A@@@	0.0458104
"Microsoft Office"	0.0457596
Alpha	0.0457466
sport-utility	0.0451639
"Chevrolet Monte Carlo"	0.0451164
AK-@@	0.0450639
Walkman	0.0450487
IE	0.0448723
"Advanced Micro"	0.0446845
"Mac OS"	0.044569
"yellow pages"	0.0445021
WordPerfect	0.0443015
Win@@	0.0441516
"Windows NT"	0.0441373
mica	0.0441197
menswear	0.0439895
"voting system"	0.0439481
"Windows @.@"	0.0436345
onboard	0.0435045
"exhaust system"	0.0434682
"chemical compound"	0.0433578
Celebrex	0.0432852
"shuttle bus"	0.0432388
stent	0.0431938
"Cliffs Notes"	0.0431713
Hummer	0.0430218
"electric car"	0.0429523
"media property"	0.0429509
"Beanie Baby"	0.0427999
Mendocino	0.0427933
e-BOOKS	0.0427815
"open primary"	0.0426062
"passenger car"	0.0425057
handheld	0.0424933
semiconductor	0.0423893
N@@	0.0423559
Spring/Summer	0.0423258
"steel plate"	0.0422878
Acela	0.0422393
"Land Rover"	0.0421115
"Office @@"	0.0420544
DSL	0.0419792
Humvee	0.0419223
"raw data"	0.0418383
HDTV	0.0417912
Os	0.0417882
"Ford Expedition"	0.0417226
scrip	0.0415959
impala	0.0415384
"compromise plan"	0.0414435
"fish meal"	0.0414069
"Windows Media Player"	0.0412527
"application program"	0.041243
"Parent Trap"	0.0412281
Claritin	0.0412099
"Airbus A@@@"	0.0410601
"National Thoroughbred Racing Association"	0.0409936
"sports car"	0.0409367
mammography	0.0408684
"pricing system"	0.0407966
"Outlook Express"	0.0406775
"board game"	0.0406692
RU-@@@	0.0405882
razor	0.0405821
"wireless telephone"	0.040546
BoT	0.040372
Banknote	0.0403441
"new line"	0.0403189
roadster	0.0401967
beany	0.0401189
"Science City"	0.0400926
))
(ATHOME (desc 2527.03) (sims
MSN	0.191448
Hotmail	0.169765
Netcenter	0.155593
Inktomi	0.155059
"Alta Vista"	0.146848
MindSpring	0.141481
EarthLink	0.137009
Juno	0.136121
DoCoMo	0.135225
McKesson	0.134664
ExciteAtHome	0.134102
"Microsoft Network"	0.132995
AltaVista	0.129734
Netcom	0.129553
Lycos	0.124864
CompuServe	0.122471
DirecTV	0.121046
FPL	0.120409
NetZero	0.120056
TCI	0.119884
Lilco	0.118694
NTL	0.117747
Mediaone	0.116384
Checkfree	0.115643
Infoseek	0.115571
"America Online"	0.115341
ETrade	0.115196
WebTV	0.111088
Nextel	0.110283
"Cox Communications"	0.108221
CMGI	0.108194
Akamai	0.107168
IDT	0.106051
Yahoo	0.10489
GeoCities	0.103828
AOL	0.102416
CitySearch	0.101141
MCI	0.0999702
"Time Warner"	0.0995059
Ciena	0.0993539
"Pac Bell"	0.0983327
TELLABS	0.0980377
TYCO	0.0980239
DoubleClick	0.0974205
"Bell Atlantic"	0.0973003
GTE	0.0969634
Healtheon/WebMD	0.0969439
CNET	0.0964762
"MCI WorldCom"	0.0962614
"Boston Scientific"	0.0957805
"Pacific Century"	0.0948013
ICQ	0.0945069
"USA Networks"	0.0933869
AGL	0.0930973
eBay	0.0928276
AHP	0.091754
EMC	0.0909377
SBC	0.0903546
Humana	0.0901335
MTA	0.0898925
DSL	0.08974
RJR	0.0894853
GPU	0.0890497
CNN.com	0.0890217
E-Trade	0.0888501
Priceline	0.088545
WebMD	0.0883477
"US West"	0.0881897
"data communication"	0.0880361
Aetna	0.0879418
Webvan	0.0878282
BellSouth	0.0873699
Airtouch	0.0873064
Northpoint	0.0867493
Nikko	0.0865236
JAL	0.0864808
"National Grid"	0.0861374
Netscape	0.0860017
"Chronicle Publishing"	0.0858416
Broadcast.com	0.0850924
"U.S. Trust"	0.085014
UAL	0.0848902
Intuit	0.0848353
Mannesmann	0.0845365
PRIMESTAR	0.084355
"Ask Jeeves"	0.0837127
Nabisco	0.0836991
"Internet Service Providers"	0.0832482
RCN	0.0831915
NTT	0.082992
Priceline.com	0.0829036
Symantec	0.0826375
GO.com	0.0826052
Vivendi	0.0821966
WorldCom	0.0820188
"Go Network"	0.0816209
SAFY	0.080949
Alltel	0.0808029
Autodesk	0.0807247
SGI	0.0803887
XYLAN	0.0803325
Schwab	0.0798965
AIG	0.0798685
Toysmart	0.0798448
Telefonica	0.0793269
Cisco	0.07893
Publicis	0.0789212
"Con Edison"	0.0787805
"America Online Inc."	0.0787386
Medtronic	0.0785485
Litton	0.0784522
sandpiper	0.0782491
Comcast	0.0782089
"road runner"	0.0780519
VoiceStream	0.0780327
"Y&AMP;R"	0.0779717
"Housing Authority"	0.0778222
Seagate	0.0777892
MP@.com	0.0776962
"Lycos Inc."	0.0775861
Sunbeam	0.0775293
Viacom	0.0774097
NCR	0.0764208
BankBoston	0.0763383
Qwest	0.0757253
Healtheon	0.0755793
"Gap Inc."	0.075541
ENTERGY	0.075308
"British Petroleum"	0.0747384
"R Block"	0.0745436
"U S West"	0.0744908
TiVo	0.0741722
ISP	0.0741589
Massport	0.0740749
"Sprint PCS"	0.0738994
COLTEC	0.073745
Quokka	0.0737373
"KCP&AMP;L"	0.0737021
Aegon	0.0734623
Reel.com	0.0731194
RealNetworks	0.0729467
"Washington Mutual"	0.0729249
Federated	0.072803
Broderbund	0.0727055
BofA	0.0722016
"Russian Defense Ministry"	0.0721284
JetBlue	0.0721265
Cablevision	0.0718889
CMG	0.0717965
broadband	0.0716966
Monsanto	0.0716515
MetLife	0.0715211
Verizon	0.0713622
Warner-Lambert	0.0713524
"True North"	0.0712147
Astra	0.070835
Mattel	0.0705998
Danka	0.0705621
"Con Ed"	0.0705116
CDnow	0.0705087
NatWest	0.0701658
GANNETT	0.070129
SmithKline	0.0701173
"Hearst Corp."	0.0700823
Gilead	0.0696469
"BP Amoco"	0.0692361
Portal	0.0692314
"Southwestern Bell"	0.069207
Starwood	0.0691963
Genentech	0.0690034
prodigy	0.0687624
Daimler	0.0685718
Deutsche	0.0684419
DHL	0.0684361
ZDTV	0.0683586
WELLPOINT	0.0682863
Weyerhaeuser	0.0680611
Echostar	0.0680329
"Thermo Electron"	0.0680318
"Harvard Pilgrim"	0.0679655
Broadcom	0.0679336
Vodafone	0.0678883
"Global Crossing"	0.0678525
Providian	0.0676474
PSINet	0.0675928
"Time Warner Cable"	0.0674262
"Georgia Power"	0.0673561
Chiron	0.067306
"El Al"	0.067218
"HBO &AMP; Co."	0.067212
Nortel	0.0670115
MEA	0.0668936
VISTEON	0.0668457
Citibank	0.0668406
Bertelsmann	0.0667914
"Tribune Co."	0.0667529
Google	0.066735
BOC	0.066684
"Park Place"	0.0663907
ADSL	0.0663017
))
(ATI (desc 1213.48) (sims
SCSI	0.0996962
IC	0.0876081
Ethernet	0.0774001
MPAA	0.0701328
add-on	0.0698619
RealNetworks	0.067195
"Bausch &AMP; Lomb"	0.063435
S@	0.062532
"Real Networks"	0.0621155
CDB	0.0606658
PCI	0.056645
NCR	0.0559686
Midi	0.0554916
Priceline	0.0511409
USB	0.0497673
Symantec	0.0497213
NHTSA	0.0492691
"Honus Wagner"	0.04868
Wada	0.0483453
COSCO	0.0481635
SUNY	0.0479189
Sim	0.0471801
Lego	0.0466276
AMEX	0.0466021
Quokka	0.0465738
meatpackers	0.0465253
MACROMEDIA	0.0464714
tuner	0.0463317
EOHR	0.0463195
Filtration	0.0458017
adobe	0.0452734
"Beastie Boys"	0.0448188
"Group of Rio"	0.0441769
"Advanced Micro"	0.0440719
videophone	0.0438484
Transmeta	0.0432081
CSC	0.0429232
emachines	0.0427765
Scientific-Atlanta	0.0425592
Ftorek	0.0420707
NCI	0.0417649
Corel	0.0414137
Harlequin	0.0407733
"Universal Serial Bus"	0.0407025
Railtrack	0.0405975
CIRC	0.0402504
RCMP	0.0402123
))
(Atkins (desc 3514.74) (sims
Stoudamire	0.0860862
Simons	0.0853489
Sykes	0.0832241
Jorgensen	0.0814931
Sato	0.080503
Weil	0.0786557
"Larry Atkins"	0.0765282
Vogel	0.0741522
Briscoe	0.0724896
weight-loss	0.0717608
Whitfield	0.0712925
Spock	0.0710348
Sabonis	0.0691009
singleton	0.0689706
DiSarcina	0.0689194
Edelstein	0.0688353
Grossman	0.0687104
Rudenstine	0.0685236
Geiger	0.0682253
Dunleavy	0.068105
Betts	0.0673347
Baugh	0.0672117
Boyle	0.0669033
Hybl	0.0664539
Laperriere	0.0661536
Stahl	0.065999
Baer	0.0659165
Goldin	0.0650318
Farnsworth	0.064897
McNabb	0.0648744
Halberstam	0.0648426
Pappas	0.0647484
Flores	0.0647453
Henning	0.0644853
Cline	0.0642494
estes	0.0642265
Meissner	0.0639602
Wexler	0.0639201
Walser	0.0633958
Jobe	0.0632086
Westphal	0.0631716
Kurth	0.0628395
Swenson	0.0621517
Ono	0.0621269
Jensen	0.0620795
Weiss	0.0619956
Rongen	0.061872
Childs	0.0614612
Sanderson	0.0613578
Macdonald	0.0613166
Burkett	0.061207
Vaughan	0.061145
Solomon	0.0609701
Rosenthal	0.0609313
Tuggle	0.0607687
Godfrey	0.0604949
Baerga	0.0604578
Friedman	0.0603387
DeFrantz	0.0602778
Lowry	0.0600371
Scalabrine	0.0596329
Owens	0.059444
Kirby	0.0590899
Tubbs	0.0590293
Armstead	0.0588399
Ferraro	0.0588375
Bain	0.0587986
"Brock Huard"	0.058714
Leigh	0.0586796
McCormick	0.0585631
Gutierrez	0.0585558
Rowan	0.058428
Mayfield	0.0583996
Spiers	0.0583813
Parrott	0.0583707
Donnelly	0.0583222
Naumann	0.0581428
Farrell	0.0579991
Patten	0.0576804
Echols	0.0576174
Iger	0.0572219
burrows	0.057184
Reese	0.0571796
Moonves	0.0571296
Hobson	0.0570704
Lessig	0.0570278
Griffith	0.0570208
Aventajado	0.0569525
HELLER	0.0569216
Hagel	0.0566134
"Karim Abdul-Jabbar"	0.0565274
McLaughlin	0.0564891
Watson	0.0563479
Elster	0.0562873
Boller	0.0561611
Hawkins	0.0560942
Mcbride	0.0560766
Hartman	0.0559958
Milbury	0.0559796
Koop	0.0558332
Bulatovic	0.0557242
O'Sullivan	0.0556744
Suarez	0.0555851
Ceballos	0.0555538
PITTS	0.0555382
Halloran	0.0552904
Abram	0.0552611
Burks	0.0551799
Forrest	0.0551314
Wolfson	0.0551227
"Frank Jobe"	0.055055
Woodson	0.0549952
Lieberthal	0.0548755
Pratt	0.0548684
Hecht	0.0548324
Akers	0.0546506
Manuel	0.0546505
Saunders	0.0546132
Greenwald	0.0546085
McFadden	0.0545578
Zenga	0.0545519
Evans	0.054533
Richards	0.0545041
Allende	0.0543497
"Orlando Mercado"	0.0543272
Fizer	0.054313
Solis	0.0542454
Jamison	0.0541567
Kraus	0.0541049
Bassett	0.0540924
Cummings	0.05408
"Bobby Newcombe"	0.0540425
Verniero	0.0540124
Stacy	0.0539178
Ackerman	0.0539054
Horowitz	0.0538323
Britton	0.0538275
Scruggs	0.0537067
McDonnell	0.0536902
Qaddafi	0.0536871
Davies	0.0536614
Hicks	0.053661
Keenan	0.0536305
Lau	0.0535755
Knapp	0.053532
"Lewis Yocum"	0.0535211
Marchand	0.0534461
Callaway	0.0534266
Schwartz	0.0533981
Andreychuk	0.0533806
Moiso	0.0533757
"Daunte Culpepper"	0.0533585
Katz	0.0533351
Finkel	0.0533068
Cochran	0.0533063
SJC	0.053294
Brogna	0.0532793
Gilligan	0.0532532
Markovic	0.053179
Moore	0.0531586
Rossotti	0.0531176
Welch	0.0530962
Dooley	0.0530328
Norton	0.0529795
Hess	0.0529474
Beasley	0.0528741
Lockhart	0.0528596
Szczerbiak	0.0527971
McNamara	0.0527905
Moreau	0.0527589
NLRB	0.0527511
Higgins	0.0525278
Jarvis	0.0524691
nance	0.052459
Culpepper	0.0523733
Larkin	0.0523318
DeBerg	0.052327
Torres	0.0523232
Frye	0.0523085
Pickens	0.0522853
Hadley	0.0521299
"Stephen Davis"	0.0521095
Clooney	0.0520812
Huard	0.052041
Hewitt	0.0520375
Trepagnier	0.0520293
Rupert	0.0520208
Choate	0.0519732
Andrews	0.051838
Watkins	0.0517292
Puente	0.0517193
Mullin	0.0516343
Carr	0.0514464
Bartlett	0.051375
Stillman	0.0513127
Mills	0.0513028
Felten	0.0512575
Alicea	0.051251
Brendan	0.051207
"Marvin Benard"	0.0512062
))
(Atkinson (desc 1808) (sims
Greenwald	0.129724
Samuelson	0.128366
Webdale	0.126277
Keaton	0.116682
Rosenthal	0.112783
Midler	0.111773
Merritt	0.111213
Lowry	0.109866
Weil	0.109312
Fiorina	0.10777
bock	0.106791
Mucha	0.103256
Pearce	0.103035
Meyers	0.102922
Fahey	0.102536
Ricart	0.100607
Scruggs	0.100587
Seligman	0.100537
Matasareanu	0.100045
Lawler	0.098769
Whaley	0.0983733
Byrdsong	0.0981746
Meissner	0.0974641
Berenson	0.0973029
Rivlin	0.0969352
Tuttle	0.0968562
Bellamy	0.0967581
Krasniqi	0.0965262
Markovic	0.0954598
Menchu	0.0948675
Brazile	0.094668
Grunwald	0.0938518
Tilberis	0.0932211
Jovanovic	0.0928969
Oliveira	0.0927251
Britton	0.0923866
Jaffe	0.0921847
Hartley	0.0920929
Duvall	0.0911537
Cleary	0.0902979
Henning	0.0901486
Cline	0.0900324
McDonnell	0.0897584
Sheehy	0.0895566
Vogel	0.0894782
Rowley	0.0892987
krueger	0.0888643
Fung	0.0885784
Marchand	0.0881362
Kurtz	0.0878183
Krall	0.0869219
Hanley	0.0866299
McPherson	0.0865007
Wiggins	0.0863428
Carmichael	0.0861953
Byrne	0.0861479
McIntyre	0.0858516
Hadley	0.0857356
Dowd	0.085584
Hamlin	0.0854742
Lai	0.0852519
Griffiths	0.085142
Betts	0.0849703
Duffy	0.084609
Brenner	0.084548
Lowey	0.0839311
Boyle	0.0836796
Leung	0.083507
Myhrvold	0.0830118
Hartman	0.0828854
Goff	0.0823805
Wilkerson	0.0822546
Roberson	0.0818684
Ono	0.0817603
Yoon	0.0816241
Keenan	0.0812901
Waxman	0.0812576
Suarez	0.0811055
Flynn	0.0809958
Huffington	0.0809779
Reiter	0.0807213
Donohue	0.0805123
D'Amico	0.0804314
Sheedy	0.0802506
Klima	0.0802477
Janssen	0.079914
Vasquez	0.0798546
Kurth	0.0798534
McConnell	0.0795223
Feldman	0.079443
Jacobson	0.0792467
Wasserstein	0.079222
Stacy	0.0791811
O'Hara	0.078733
Stephenson	0.0787022
Kirkpatrick	0.0785475
Rosenberg	0.0782673
Bogle	0.0780661
Amedure	0.0780192
Holzman	0.0779449
McFadden	0.0778813
Jeffers	0.0778758
Tsang	0.0775056
Cohn	0.0774636
Molinari	0.0773071
Patten	0.0772618
Ashrawi	0.0767561
Winslet	0.0766864
Nasrin	0.0766794
Rutherford	0.0763993
Sutherland	0.0762882
Singson	0.0761865
Madden	0.0760103
Childress	0.0759739
Sassa	0.0759531
Macdonald	0.0758305
Donnelly	0.0758123
Albrecht	0.0757035
Baer	0.0756997
Weiner	0.0756096
Flanagan	0.0755662
Briscoe	0.0755162
Lurie	0.0753824
Bushnell	0.0753366
Lawson	0.0751197
Lau	0.0748406
Sorensen	0.074759
Garofalo	0.0746601
Hickman	0.0745779
Mei	0.0744662
DeFrantz	0.0744097
Stahl	0.0742775
Allende	0.0742163
Hobson	0.0740835
McCormack	0.0740758
Ratner	0.0740622
Blackman	0.074025
Rowan	0.0739927
Mayer	0.0738638
Fay	0.0738119
Garvey	0.0737859
Mustafa	0.0737807
Mortimer	0.0737121
Guerin	0.0735895
Kopp	0.0735724
Goldstein	0.0735534
Nilsson	0.0735404
Farber	0.0735149
O'Sullivan	0.07349
Menuhin	0.073454
Lockwood	0.0734295
Nasrallah	0.0733521
Buckingham	0.0732576
Goldin	0.0731848
Segal	0.0731449
Brundtland	0.0730973
FAWCETT	0.0730471
Greco	0.0730444
Kraus	0.0726819
Carlson	0.0726815
Shulman	0.0725948
Mckee	0.0725463
Gurule	0.0722447
Barlow	0.0721646
Tsvangirai	0.0721437
Knapp	0.0720158
Prewitt	0.0719303
Koskinen	0.0718713
Gullikson	0.0718693
Lambert	0.0718296
Fuentes	0.0718146
Severino	0.0717047
Chu	0.0716945
Zeng	0.0716505
Edson	0.0716466
Clements	0.0716007
Healy	0.0713551
Meguid	0.0713083
Salinger	0.0710942
"McCaughey Ross"	0.071084
Couric	0.0710272
Coughlin	0.0710147
Weinberg	0.0709851
Hess	0.070842
Schafer	0.0707554
Fleischer	0.0705522
Garbo	0.0705503
Hahn	0.0705381
McMillan	0.0704812
Dwyer	0.0702927
Ulrich	0.0701003
Orton	0.0699942
Upshaw	0.06978
Rawabdeh	0.0697689
Moonves	0.0697666
Falco	0.0697117
Bulatovic	0.0696531
Callahan	0.069604
Rowe	0.0695378
Swanson	0.0695026
))
(Atlanta (desc 172308) (sims
Boston	0.267077
Chicago	0.264559
Philadelphia	0.260555
Seattle	0.260111
Detroit	0.258727
"Los Angeles"	0.252649
"St. Louis"	0.251126
"San Francisco"	0.250535
Houston	0.250398
Cleveland	0.248334
Denver	0.245911
Dallas	0.243251
"San Diego"	0.240297
Baltimore	0.239325
Toronto	0.234953
Pittsburgh	0.234832
"Kansas City"	0.233381
Miami	0.232969
Cincinnati	0.232011
Phoenix	0.231667
"New York"	0.228851
Montreal	0.224262
Milwaukee	0.21987
Oakland	0.204306
"New Orleans"	0.202613
"San Antonio"	0.201622
Orlando	0.199235
Portland	0.197536
"Tampa Bay"	0.194875
Buffalo	0.192665
Indianapolis	0.190088
Nashville	0.185362
Minnesota	0.185237
Vancouver	0.181914
Sacramento	0.181858
Arizona	0.180338
Washington	0.178615
"San Jose"	0.178542
Florida	0.176686
Charlotte	0.175035
Jacksonville	0.17412
ANAHEIM	0.172854
Colorado	0.17061
"Green Bay"	0.165151
Texas	0.16181
"New Jersey"	0.160733
Austin	0.160059
Tampa	0.15847
Columbus	0.155186
Minneapolis	0.152632
Carolina	0.152535
"Las Vegas"	0.151065
"Salt Lake City"	0.150568
Mets	0.149888
LONDON	0.148192
Calgary	0.14696
brave	0.1468
Edmonton	0.145285
"New York City"	0.145197
Memphis	0.142767
"Fort Worth"	0.142203
Sydney	0.1421
"Atlanta Braves"	0.136106
Paris	0.135511
Newark	0.134394
Indiana	0.134079
"New England"	0.133501
Tennessee	0.133349
"New York Mets"	0.133052
Giants	0.131208
Yankee	0.129218
"Chicago Cubs"	0.128607
Utah	0.128247
Albany	0.126685
Ottawa	0.12658
"Mexico City"	0.123463
Tucson	0.122324
California	0.121798
Richmond	0.121407
Birmingham	0.120461
Hartford	0.120294
Honolulu	0.119622
Louisville	0.119329
ASTROS	0.118635
L.A	0.117808
Tokyo	0.117133
Syracuse	0.116394
Moscow	0.116265
ATHENS	0.116225
ranger	0.115918
dodger	0.1152
Manhattan	0.115153
Georgia	0.114539
Michigan	0.113606
BEIJING	0.113381
"Red Sox"	0.113359
cub	0.113234
"New York Yankees"	0.112343
"Oklahoma City"	0.111701
"New York Giants"	0.111386
Rome	0.111106
Providence	0.109767
Berlin	0.109274
Phillies	0.108859
cardinal	0.10881
Albuquerque	0.108546
SEOUL	0.108334
Padre	0.10814
"St. Petersburg"	0.107587
Barcelona	0.107484
"Chicago White Sox"	0.107285
"Southern California"	0.107078
Rochester	0.105786
"White Sox"	0.105348
"North Carolina"	0.105325
Lakers	0.104784
"New York Jets"	0.10472
Havana	0.104703
"Little Rock"	0.104572
"West Palm Beach"	0.104465
city	0.104127
Vienna	0.103997
Kentucky	0.103853
Virginia	0.103611
"Fort Lauderdale"	0.103377
MELBOURNE	0.103322
Orioles	0.102841
"Cleveland Indians"	0.102052
mariner	0.101809
falcon	0.101607
"blue jay"	0.101364
Tulsa	0.10112
Raleigh	0.100851
TALLAHASSEE	0.100631
Charleston	0.100618
"Golden State"	0.100587
Hawaii	0.100465
Alabama	0.100165
Arkansas	0.100046
Connecticut	0.0998969
Kansas	0.0998549
Bangkok	0.099725
Dayton	0.0994695
Wilmington	0.099439
Nebraska	0.0992221
Shanghai	0.0987657
diamondback	0.0984762
"Long Beach"	0.0984285
"Los Angeles Dodgers"	0.0981151
Knicks	0.0980679
A's	0.0980314
Australia	0.0972341
marlin	0.0970934
"Los Angeles Lakers"	0.0970273
Oregon	0.096382
UCLA	0.0959982
Brooklyn	0.0955576
England	0.0953671
Wisconsin	0.0950333
Geneva	0.0949123
Nagano	0.0947852
Istanbul	0.0945813
"Bay Area"	0.0945443
Oklahoma	0.0942687
"Tel Aviv"	0.0941847
"New Haven"	0.0935503
Massachusetts	0.0933786
"Kuala Lumpur"	0.0932209
Iowa	0.093101
Milan	0.0930489
Dublin	0.0926368
Omaha	0.0924585
CAIRO	0.0923035
"Des Moines"	0.0920863
Arlington	0.0919926
Maryland	0.0918986
Missouri	0.0918187
team	0.0916887
Greenville	0.0915666
Prague	0.0915592
Rockies	0.0914701
Munich	0.0914173
Manchester	0.0912339
"San Juan"	0.0908909
Amsterdam	0.090856
"Hong Kong"	0.0908077
JOHANNESBURG	0.0900779
"ATLANTA FALCONS"	0.0900385
"Buenos Aires"	0.0899815
"Boston Red Sox"	0.0899468
"Cape Town"	0.0896076
Madrid	0.0895208
Canada	0.0894265
BUDAPEST	0.0891251
"Atlantic City"	0.0889628
Norfolk	0.0889192
USC	0.0888756
"St. Louis Cardinals"	0.0887278
angel	0.0883913
Cambridge	0.0881539
))
("Atlanta Braves" (desc 28124) (sims
"New York Mets"	0.293665
"San Diego Padres"	0.275896
brave	0.272223
"Cleveland Indians"	0.272206
"New York Yankees"	0.261915
"St. Louis Cardinals"	0.258904
"Cincinnati Reds"	0.258425
"Boston Red Sox"	0.257895
"Houston Astros"	0.252044
"Detroit Tigers"	0.249645
"Texas Rangers"	0.24175
"San Francisco Giants"	0.241585
"Chicago Cubs"	0.241087
"Los Angeles Dodgers"	0.238461
"Baltimore Orioles"	0.237693
"Pittsburgh Pirates"	0.228469
"Florida Marlins"	0.226922
"Milwaukee Brewers"	0.225247
Mets	0.224799
"Arizona Diamondbacks"	0.218335
"Anaheim Angels"	0.216482
"Philadelphia Phillies"	0.21601
"Colorado Rockies"	0.215602
"Kansas City Royals"	0.210806
"Minnesota Twins"	0.205196
"Toronto Blue Jays"	0.204557
"Chicago White Sox"	0.2041
ASTROS	0.198868
"Seattle Mariners"	0.197594
"Red Sox"	0.195546
Padre	0.195388
"Montreal Expos"	0.195186
Phillies	0.190143
Orioles	0.188945
"Oakland Athletics"	0.187024
Yankee	0.184959
Giants	0.184736
cub	0.182503
"White Sox"	0.18146
A's	0.18089
diamondback	0.178071
dodger	0.174906
"blue jay"	0.173814
"Tampa Bay Devil Rays"	0.170369
"devil ray"	0.15737
marlin	0.154184
mariner	0.151246
ranger	0.150117
"Los Angeles Lakers"	0.147048
cardinal	0.14577
Royals	0.141456
"Detroit Red Wings"	0.137958
Expo	0.136591
Atlanta	0.136106
angel	0.135858
Cleveland	0.135528
Oakland	0.135002
"New York Giants"	0.134672
"Tampa Bay"	0.133458
"Washington Redskins"	0.132466
"Indiana Pacers"	0.131091
Sox	0.130988
"New York Knicks"	0.130789
"Florida Panthers"	0.129856
Cincinnati	0.129461
"Utah Jazz"	0.128798
"San Antonio Spurs"	0.12815
"San Diego"	0.12741
"Edmonton Oilers"	0.125597
Toronto	0.121798
"Dallas Stars"	0.120372
pacer	0.120095
pirate	0.119603
Knicks	0.119552
"D.C. United"	0.119077
"Chicago Bulls"	0.118561
brewer	0.118519
Lakers	0.118331
"Washington Capitals"	0.118246
ANAHEIM	0.117973
"Phoenix Suns"	0.117961
Milwaukee	0.117229
"Red Wings"	0.116457
"St. Louis"	0.116326
Indian	0.116091
"Calgary Flames"	0.115506
Baltimore	0.115387
"Miami Heat"	0.115116
"Toronto Maple Leafs"	0.114512
"Boston Celtics"	0.113506
"California Angels"	0.112847
"Houston Rockets"	0.11153
Detroit	0.111193
"Sacramento Kings"	0.111097
"New Jersey Devils"	0.110944
"Portland Trail Blazers"	0.110292
"Minnesota Vikings"	0.110108
Montreal	0.110101
"Carolina Hurricanes"	0.109406
Rockies	0.108646
"Dallas Cowboys"	0.108396
"Philadelphia Flyers"	0.108184
"New York Rangers"	0.107469
"Green Bay Packers"	0.107247
"Brooklyn Dodgers"	0.107005
"Chicago Bears"	0.106717
"Miami Dolphins"	0.106454
"Pittsburgh Penguins"	0.106201
"Trail Blazers"	0.10617
"St. Louis Rams"	0.106094
Celtics	0.106093
Canadiens	0.105751
Pittsburgh	0.105137
"Colorado Avalanche"	0.105095
Boston	0.103918
"Orlando Magic"	0.103895
Seattle	0.103795
"St. Louis Blues"	0.103499
"Montreal Canadiens"	0.102718
Arizona	0.1025
Houston	0.102421
"Detroit Pistons"	0.102066
"Golden State Warriors"	0.101936
"Buffalo Sabres"	0.101862
"Los Angeles Kings"	0.101817
Colorado	0.101338
"San Francisco @@ers"	0.101316
"New York Jets"	0.100812
oiler	0.100561
"New York Islanders"	0.100363
"Cleveland Browns"	0.100167
"Ottawa Senators"	0.099876
red	0.0994519
"San Jose Sharks"	0.0987997
Redskin	0.0986957
"New Jersey Nets"	0.0985461
clipper	0.0980792
bruin	0.0977317
Seahawks	0.0965056
"Washington Senators"	0.0964258
"Denver Broncos"	0.0961313
packer	0.0959159
MetroStars	0.0954496
"Atlanta Hawks"	0.0953995
"Los Angeles Clippers"	0.0952623
"Dallas Mavericks"	0.095188
flyer	0.0951812
"Mighty Ducks"	0.0949418
"Miami Fusion"	0.0949411
"Vancouver Canucks"	0.0945022
"New England Patriots"	0.0937311
"Indianapolis Colts"	0.0933588
sabre	0.0932617
Philadelphia	0.0930908
"Milwaukee Bucks"	0.0929585
Sonics	0.0928057
"Minnesota Timberwolves"	0.092758
"Dallas Burn"	0.0927169
"Seattle Seahawks"	0.0923869
"Nashville Predators"	0.0920058
Minnesota	0.0919179
"Maple Leafs"	0.0915015
Portland	0.090966
"Phoenix Coyotes"	0.0908224
piston	0.0906669
"Tennessee Titans"	0.090537
"Chicago Fire"	0.0905339
"Buffalo Bills"	0.0898805
"Kansas City Chiefs"	0.0897063
"Kansas City"	0.0890838
"ATLANTA FALCONS"	0.0890154
tiger	0.0879482
Canuck	0.0879428
"Green Bay"	0.0876009
"Phenix City"	0.0874165
panther	0.0873679
falcon	0.087152
devil	0.0868754
Edmonton	0.0866498
"Arizona Cardinals"	0.0866365
"Tampa Bay Lightning"	0.0857911
"Chicago Blackhawks"	0.0857511
"Montana State"	0.0854859
BEARS	0.085348
"American League"	0.0851851
Dallas	0.0849301
"Florida State"	0.0847593
cavalier	0.08462
bronco	0.0844976
"New York Liberty"	0.0844811
Eagles	0.0844653
coyote	0.0841622
"Pittsburgh Steelers"	0.0841132
Trojan	0.0840473
Chicago	0.0840317
"Michigan State"	0.0832733
"Boston Bruins"	0.083194
Viking	0.0831422
charger	0.0830038
UCLA	0.0829296
))
("Atlanta Committee" (desc 1475.76) (sims
"Sydney Organizing Committee"	0.202277
"Southern Command"	0.137693
"Kosovo Verification Mission"	0.136606
"Chinese Olympic Committee"	0.126246
"Organizing Committee"	0.121036
SCLC	0.118624
"European Bank for Reconstruction"	0.115301
"U.S. Soccer Federation"	0.108807
"American Petroleum Institute"	0.10759
"Motion Picture Association of America"	0.1065
"Olympic Council of Asia"	0.106457
"Australian Olympic Committee"	0.103964
"American Lung Association"	0.101015
"United Nations Interim Force in Lebanon"	0.100559
"United National Independence Party"	0.0978949
"Salt Lake Organizing Committee"	0.09267
"Olympic Committee"	0.0922305
"U.S. Olympic Committee"	0.0918725
"National Alliance"	0.0900725
"National Council of Churches"	0.0894194
ACOG	0.0891725
"National Abortion and Reproductive Rights Action League"	0.0889539
"Supreme Council"	0.0865889
"Labor office"	0.0863803
"Cuban American National Foundation"	0.0859428
YankeeNets	0.085584
"International Ski Federation"	0.0850204
"Democratic Leadership Council"	0.0849761
"International Committee"	0.0849717
"Columbia Pictures"	0.0844295
"Economic Planning Agency"	0.0841729
"World Jewish Congress"	0.083633
"Catholic Charities"	0.083527
"Ethiopian Airlines"	0.0830674
"Home Ministry"	0.0829253
government-in-exile	0.0828962
Univision	0.0819343
"Bank of Israel"	0.0815189
"Wine Institute"	0.0813498
Caritas	0.0809325
"Indonesian Armed Forces"	0.080672
"National Election Committee"	0.0801207
"National Democratic Alliance"	0.0800403
"American Association of Health Plans"	0.079585
"CBS Sports"	0.0794694
"Federal Reserve Bank of New York"	0.0791958
"National Intelligence Service"	0.0789474
"Defense Agency"	0.0788685
"Asian Football Confederation"	0.0787607
"Board of Supervisors"	0.0782441
"National Association of Broadcasters"	0.0780128
"Family Research Council"	0.077547
UNIP	0.0770861
"New Jersey State Police"	0.0769553
"Democratic Senatorial Campaign Committee"	0.076932
"State Flood Control"	0.0765298
"National Republican Congressional Committee"	0.075876
"Democratic Front"	0.0758149
UNAMET	0.0754304
"Federal Security Service"	0.0749739
SDMI	0.0749497
"Hearst Corporation"	0.0748282
"World Vision"	0.0745168
"International Society"	0.0738612
"Russian Space Agency"	0.0736535
"National Organization"	0.0731908
"International Amateur Athletics Federation"	0.0730335
"Constitutional Assembly"	0.073029
"Gaullist Rally"	0.0729825
"brokerage unit"	0.0729186
"Log Cabin Republicans"	0.0725109
"Iraqi National Congress"	0.0723515
"National Police"	0.0722923
"U.S. Immigration and Naturalization Service"	0.0720512
"BankBoston Corp."	0.0717307
"International Association of Machinists"	0.0716626
"China Society"	0.0715432
"Communications Workers of America"	0.0714648
"Turkish Foreign Ministry"	0.0714604
"Indonesian Military"	0.0710869
"Lesotho Congress"	0.0700557
AlliedSignal	0.0700099
"Rainbow/PUSH Coalition"	0.0699521
"International Red Cross"	0.0696381
"Political Department"	0.0693788
"Ministry of International Trade and Industry"	0.0693658
SAirGroup	0.0692895
"Department of State"	0.0692513
"State Seismological Bureau"	0.0692323
"Central Bank of Nigeria"	0.0688462
"Commission on Elections"	0.0686456
"Nihon Keizai Shimbun"	0.0683682
"Liberation Movement"	0.0679595
"French Foreign Ministry"	0.0678301
"Gulf Air"	0.0678086
"Recording Industry Association of America"	0.0677649
"Nuclear Regulatory Commission"	0.0675541
"Common Cause"	0.0673849
"Ministry of Information"	0.0673579
"National Highway Traffic Safety Administration"	0.0672713
"Port Authority of New York"	0.0669991
"Electoral Commission"	0.066587
"Patriotic Union of Kurdistan"	0.0665788
"Department of Finance"	0.0665034
"National Economic Council"	0.0664057
"International Brotherhood"	0.0663127
"Civil Aviation Authority"	0.066184
"Israeli Foreign Ministry"	0.0658104
"National Association of Realtors"	0.0657947
"American Red Cross"	0.0657077
"Democratic Unionist Party"	0.0656788
Hezb-i-Islami	0.0655852
"Local @@"	0.0654887
Oxfam	0.0654497
"National Education Association"	0.065171
"Families USA"	0.0651158
"Criminal Investigation Department"	0.0650674
"popular front"	0.0645695
"Sam Rainsy Party"	0.0645377
"Bank for International Settlements"	0.0644591
"Serbian Renewal Movement"	0.0644051
"National Council of La Raza"	0.0643201
"International Amateur Athletic Federation"	0.0642121
"Northern Fleet"	0.0641566
"Department of Housing and Urban Development"	0.0640767
"Koha Ditore"	0.0640207
USOC	0.0639586
"Center for Strategic"	0.0639579
"Civic Democratic Party"	0.0635976
"Center Party"	0.06343
"Operation Lifeline Sudan"	0.0633717
"Chase Manhattan Corp."	0.0633554
"Afghan Taliban"	0.0632821
"Ministry of Science"	0.0631871
Amal	0.0630842
"search committee"	0.0630824
"National Association of Securities Dealers"	0.0630128
"Board of Elections"	0.062757
"National League for Democracy"	0.0626986
"Liberty Media"	0.0626235
"U.S. Chamber of Commerce"	0.0625593
"Philip Morris Cos."	0.0625196
"Levi Strauss &AMP; Co."	0.0624508
"Council of Economic Advisers"	0.0623083
"Coca-Cola Enterprises"	0.062291
"Audubon Society"	0.0622591
"South African National Defense Force"	0.0622432
"State Administration of Foreign Exchange"	0.0621698
guild	0.062091
NSC	0.0618722
"Shin Bet"	0.061618
"Joao Havelange"	0.0615622
"Church of Jesus Christ of Latter-day Saints"	0.0612822
"New Korea Party"	0.0612777
"Human Rights Watch"	0.0611372
"Export-Import Bank"	0.0610184
"National Federation"	0.0609209
"Times Co."	0.0609097
"Drug Enforcement Administration"	0.0609058
"Blue Cross"	0.0607067
"Human Rights Commission"	0.0603588
UCI	0.0603398
"U.N. Interim Force in Lebanon"	0.0601414
"Office of Management and Budget"	0.060138
"National Association"	0.0601275
"World Church"	0.0600996
"Macao Government"	0.0600785
"Canadian International Development Agency"	0.0600493
"Serbian Orthodox Church"	0.0599621
"All-China Journalists Association"	0.059937
"election commission"	0.0599169
"Wal-Mart Stores Inc."	0.059741
"U.N. Mission"	0.0596977
"Defense Fund"	0.0596674
"National Council"	0.0596667
"United Nations High Commission for Refugees"	0.059609
"Services division"	0.0594958
Pertamina	0.0594117
SPDC	0.0593966
"Gallup Poll"	0.0593581
CUC	0.059236
"Independent National Electoral Commission"	0.0592177
CAF	0.0591261
OCA	0.0590777
"Fleet Financial Group"	0.0590162
"Information Ministry"	0.0589097
"Justice Ministry"	0.058807
BankAmerica	0.0587184
"Straits Exchange Foundation"	0.058663
"Zimbabwe African National Union-Patriotic Front"	0.0586268
"USA Basketball"	0.0585853
"Palestinian Liberation Organization"	0.0583314
"League of Conservation Voters"	0.0582771
"United Democratic Movement"	0.0578026
"Handgun Control Inc."	0.0577951
"Democratic Congressional Campaign Committee"	0.0576649
"Russian Defense Ministry"	0.0575287
"ethics panel"	0.057417
"Southern Baptist Convention"	0.0572334
FDIC	0.0571399
))
("Atlanta Constitution" (desc 1704.59) (sims
"Austin American-Statesman"	0.239235
"Atlanta Journal"	0.203494
"Village Voice"	0.200434
"Palm Beach Post"	0.192172
"New York Observer"	0.181115
"New York Times Magazine"	0.170461
"New York Post"	0.168911
"Orange County Register"	0.167022
"National Journal"	0.166497
"Washington Times"	0.163355
"Des Moines Register"	0.163293
Haaretz	0.162111
"Arizona Republic"	0.16157
"Dallas Morning News"	0.161083
"Kansas City Star"	0.15906
"Atlanta Journal-Constitution"	0.157964
"Washington Post"	0.157415
"Denver Post"	0.156947
"International Herald Tribune"	0.156104
"Fort Worth Star-Telegram"	0.154041
"Wall Street Journal"	0.152586
"Miami Herald"	0.150938
"Philadelphia Inquirer"	0.15088
"USA TODAY"	0.150587
"San Francisco Chronicle"	0.150266
Star-Ledger	0.148152
"Atlantic Monthly"	0.146559
"Los Angeles Times"	0.144271
"Chicago Tribune"	0.143466
"New Republic"	0.140444
"San Antonio Express-News"	0.139477
"Daily Telegraph"	0.137045
JAMA	0.135557
"San Francisco Examiner"	0.126402
"Cincinnati Enquirer"	0.125636
"Boston Globe"	0.124723
"St. Louis Post-Dispatch"	0.124645
"American Journal"	0.123502
Maariv	0.121378
"Financial Times"	0.120561
Newsweek	0.120393
"New York Review"	0.11854
"Dayton Daily News"	0.118323
"Chicago Sun-Times"	0.11715
Newsday	0.117084
"New England Journal"	0.117027
Oregonian	0.117018
"New York Times"	0.116089
"TV guide"	0.114268
"Houston Chronicle"	0.113434
"New York Daily News"	0.112715
"Rolling Stone"	0.112081
Enquirer	0.111068
"Le Figaro"	0.109905
"Detroit News"	0.109741
"New York Times Book Review"	0.107932
"San Jose Mercury News"	0.107508
"Advertising Age"	0.107314
"Hollywood Reporter"	0.106622
Star-Telegram	0.10499
"Daily Mail"	0.103056
"New Straits Times"	0.100139
"Boston Herald"	0.0997641
"Cox Newspapers"	0.0996517
"New York Herald Tribune"	0.0992132
"Saturday Evening Post"	0.0982325
"Der Spiegel"	0.0979846
"Daily News"	0.0974947
Esquire	0.0964174
tribune	0.0934234
Tennessean	0.0925966
"vanity fair"	0.0920394
OED	0.0917979
TheStreet.com	0.0887707
Post-Intelligencer	0.0881283
"Sports Illustrated"	0.0878914
examiner	0.0878517
vogue	0.0872641
"Jerusalem Post"	0.0859814
Ledger	0.0857564
"Detroit Free Press"	0.0832739
"Hartford Courant"	0.0824109
"Weekly Standard"	0.0818752
"Koha Ditore"	0.0812866
"Le Monde"	0.0809772
"Seattle Post-Intelligencer"	0.08075
"Business Week"	0.0800852
"National Geographic"	0.0800179
Wada	0.0796036
"World Report"	0.0792277
tabloid	0.0791101
"Guangming Daily"	0.0789026
"El Mundo"	0.078541
Marketspan	0.0781213
"Radio Liberty"	0.0776018
"Modern Library"	0.0772161
"Hearst Newspapers"	0.0759627
"National Enquirer"	0.0757679
telegraph	0.0738973
Salon.com	0.0737535
Lancet	0.0713314
"United Press International"	0.0700052
"Moscow Times"	0.0693368
"Wen Wei Po"	0.0691404
"Chronicle Publishing"	0.0684706
GQ	0.0680215
"Evening Standard"	0.067906
yearbook	0.0677218
MPAA	0.0659975
"Sydney Morning Herald"	0.0657633
"tabloid newspaper"	0.0654293
"sports section"	0.0653371
Elle	0.0646115
Pulitzer	0.0644522
Granma	0.0641638
"Sporting News"	0.0632136
"U.S. News"	0.0629478
"Free Press"	0.0629172
"Straits Times"	0.0604726
"Yediot Ahronot"	0.0600059
"New York City Opera"	0.0596781
"National Post"	0.0595611
periodical	0.0590928
gazette	0.0583641
"Thermo Electron"	0.0580357
UPI	0.0579017
"Stride Rite"	0.0574129
"Times Mirror"	0.0563457
Babel	0.0557372
Totalfina	0.0556403
"El Pais"	0.0549737
Sunbeam	0.053638
almanac	0.0534675
"Opium War"	0.0530391
Bild	0.0527527
AJC	0.0521768
"Kuala Lumpur Stock Exchange"	0.0516196
"South China Morning Post"	0.0515885
"East Berlin"	0.0511461
"Ballet Theater"	0.0511422
"news service"	0.0509243
aldermen	0.0508044
fascia	0.0507006
"Daytona Beach"	0.0506864
"trade publication"	0.0505527
Brunner	0.0504448
Massport	0.0501561
"Wear Daily"	0.0496813
"House Un-American Activities Committee"	0.0496391
CalPERS	0.0493388
"Time Inc."	0.0492701
Inquirer	0.0491449
IRNA	0.0487589
"roll call"	0.0486735
AFL	0.0486182
UNESCO	0.0485804
KLSE	0.0485307
"San Quentin"	0.0484967
ATA	0.0484925
"Gallup Poll"	0.0481966
Journal-Constitution	0.0481581
YPF	0.0479232
"New Covenant"	0.0478946
RJR	0.0478508
ECB	0.0477204
Reforma	0.0476793
"Southeastern Legal Foundation"	0.04726
"IG Metall"	0.0472165
"Consumer Reports"	0.0471967
blackface	0.0471963
"City Ballet"	0.0469852
"RJR Nabisco"	0.0469303
CDB	0.0469287
"Operation Desert Storm"	0.0468766
"League of Nations"	0.0467505
PSE	0.0465307
GoTo.com	0.0464695
NLRB	0.0461705
"Sydney Organizing Committee"	0.0459681
Deacon	0.0457559
"Mastercard Colonial"	0.0456104
ASO	0.0455085
"Great Gatsby"	0.0454029
Varig	0.0453611
Wiseman	0.0453334
Highbury	0.0451434
"Chronicle Books"	0.0450221
EOHR	0.0450141
"National Association of Securities Dealers"	0.044948
SDS	0.0448623
neurology	0.0447462
VW	0.0447067
"Martha Stewart Living"	0.0445934
ISO	0.0445614
Itogi	0.0444722
Emery	0.0442724
Kommersant	0.0442696
Pacifica	0.0442673
AMF	0.0440147
Izvestia	0.0439485
))
("ATLANTA FALCONS" (desc 15542.9) (sims
"Denver Broncos"	0.255852
"Dallas Cowboys"	0.248569
"Miami Dolphins"	0.244
"Minnesota Vikings"	0.243178
falcon	0.239581
"Washington Redskins"	0.237701
"Green Bay Packers"	0.234612
"Buffalo Bills"	0.223092
"St. Louis Rams"	0.223024
"Indianapolis Colts"	0.222279
"New York Jets"	0.217952
"Kansas City Chiefs"	0.216787
"Philadelphia Eagles"	0.214262
"Chicago Bears"	0.213869
"San Francisco @@ers"	0.212506
"New England Patriots"	0.209945
"Cincinnati Bengals"	0.200981
"Oakland Raiders"	0.200279
"San Diego Chargers"	0.199526
"Tampa Bay Buccaneers"	0.199245
"New York Giants"	0.197701
"Pittsburgh Steelers"	0.19724
"Cleveland Browns"	0.195152
"Jacksonville Jaguars"	0.19317
"Tennessee Titans"	0.189904
"Arizona Cardinals"	0.184154
"New Orleans Saints"	0.174554
"Detroit Lions"	0.170776
"Carolina Panthers"	0.170549
"Baltimore Ravens"	0.163713
"Seattle Seahawks"	0.161476
Giants	0.1609
bronco	0.160632
BEARS	0.15395
Redskin	0.153577
Seahawks	0.149711
packer	0.147567
Viking	0.144161
"Los Angeles Lakers"	0.134017
"Green Bay"	0.133284
ram	0.132067
raider	0.131386
"Charlotte Hornets"	0.128949
Bengals	0.128929
"Dallas Mavericks"	0.128904
patriot	0.12843
Eagles	0.128312
Steelers	0.128178
charger	0.125884
"Chicago Bulls"	0.125855
dolphin	0.125159
"Los Angeles Clippers"	0.123658
"Tampa Bay"	0.12316
"Baltimore Colts"	0.122782
"Milwaukee Bucks"	0.121009
cowboy	0.11982
oiler	0.119213
"Sacramento Kings"	0.118228
"Indiana Pacers"	0.117776
"New York Knicks"	0.117584
"Kansas City Royals"	0.116583
"Detroit Red Wings"	0.116532
"Houston Rockets"	0.115772
Raven	0.114675
"Arizona State"	0.114299
cardinal	0.113984
"Golden State Warriors"	0.11342
wildcat	0.113208
"D.C. United"	0.113136
"Dallas Stars"	0.112698
"Detroit Pistons"	0.11207
"Utah Jazz"	0.111887
"Calgary Flames"	0.111426
"San Antonio Spurs"	0.111102
panther	0.11088
Celtics	0.110229
colt	0.109955
"St. Louis Cardinals"	0.10964
"Oregon State"	0.109175
"Los Angeles Rams"	0.108903
MetroStars	0.108674
"New York Liberty"	0.108435
titan	0.107855
"Mighty Ducks"	0.107612
Denver	0.107199
"Cleveland Indians"	0.106974
"Miami Heat"	0.106648
Seminoles	0.106379
"Ohio State"	0.106215
Gators	0.105385
"Red Wings"	0.10505
"Orlando Magic"	0.104859
"Boston Celtics"	0.104596
"Houston Oilers"	0.103462
TCU	0.103197
"Cincinnati Reds"	0.103077
Sooners	0.103033
"Florida Marlins"	0.101991
Aggies	0.10191
"Vancouver Canucks"	0.101305
"Montreal Canadiens"	0.101218
"Florida State"	0.101024
"San Diego Padres"	0.101013
USC	0.100973
"Virginia Tech"	0.100585
"Minnesota Twins"	0.100356
"Chicago Blackhawks"	0.10011
"Iowa State"	0.100068
"Milwaukee Brewers"	0.0998808
bulldog	0.0997249
"Mississippi State"	0.0995147
"Atlanta Hawks"	0.0992072
Trojan	0.0989184
Canadiens	0.0988665
Lakers	0.098765
"Montreal Expos"	0.0984754
Longhorn	0.0983419
clipper	0.0982429
"Tampa Bay Devil Rays"	0.0982032
"Washington Capitals"	0.0981681
"Nittany Lions"	0.0980889
"New York Rangers"	0.0980858
"Minnesota Timberwolves"	0.0979614
"Philadelphia Flyers"	0.0976875
"New York-New Jersey MetroStars"	0.0976013
Jaguar	0.0971959
"Chicago Cubs"	0.0970691
"Washington Wizards"	0.0970291
UCLA	0.09697
pacer	0.0961378
"Michigan State"	0.0958922
Hawkeyes	0.0958655
husky	0.0957725
"Los Angeles Kings"	0.0957251
"Texas Tech"	0.0957068
"Buffalo Sabres"	0.0953757
"New Jersey Devils"	0.0947598
"New Jersey Nets"	0.0946018
"San Jose Sharks"	0.0944703
Purdue	0.0943642
"Oklahoma State"	0.0939618
LSU	0.0938537
Carolina	0.0935903
Knicks	0.0935464
"New York Yankees"	0.0934983
"Portland Trail Blazers"	0.0932236
"Fresno State"	0.0931395
"Houston Astros"	0.0928833
"Phoenix Suns"	0.0927951
Tennessee	0.0925526
"Boston Red Sox"	0.0923533
Gonzaga	0.0922221
"Los Angeles Dodgers"	0.092174
"Tar Heels"	0.0920988
"Colorado Avalanche"	0.0919722
A's	0.0919579
Sonics	0.0918268
Jacksonville	0.0917549
"Tampa Bay Lightning"	0.0913999
marlin	0.0911948
"Kansas State"	0.0911855
Bucs	0.0911632
"Toronto Raptors"	0.0910723
"Penn State"	0.0909615
"Arizona Diamondbacks"	0.0908913
"Crimson Tide"	0.0908221
Padre	0.0906425
bruin	0.0902243
"Pittsburgh Penguins"	0.0901433
Atlanta	0.0900385
"White Sox"	0.0900317
"Notre Dame"	0.0899646
"New York Mets"	0.0899268
jet	0.0894754
Minnesota	0.0892918
"Chicago White Sox"	0.0891358
"New York Islanders"	0.0890625
"Atlanta Braves"	0.0890154
"Nashville Predators"	0.0888401
Phillies	0.0886991
"Oakland Athletics"	0.0884859
"Edmonton Oilers"	0.088456
matador	0.0881446
Pepperdine	0.0881034
"Ottawa Senators"	0.0876896
Clemson	0.0871994
"San Francisco Giants"	0.0871759
"Washington State"	0.0867407
"Maple Leafs"	0.0866586
maverick	0.0865089
Saint	0.0864299
"Seattle Mariners"	0.0862929
"Pittsburgh Pirates"	0.0858503
"Miami Fusion"	0.085672
ASTROS	0.0853846
"Detroit Tigers"	0.0849695
cub	0.0848374
"Weber State"	0.084731
Orioles	0.0844476
Stanford	0.0843321
))
("Atlanta Games" (desc 9535.63) (sims
"Atlanta Olympic Games"	0.295066
"Atlanta Olympics"	0.265994
"Barcelona Games"	0.227679
"Sydney Olympic Games"	0.213207
"Asian Games"	0.20949
"Barcelona Olympics"	0.200607
"Pan American Games"	0.195228
"Sydney Olympics"	0.193773
"Seoul Olympics"	0.193263
"World Junior Championships"	0.185627
"Olympic Games"	0.185369
"Eighth National Games"	0.182889
"World Championships"	0.181287
"Sydney Games"	0.177642
"World University Games"	0.173045
"Commonwealth Games"	0.168556
"Bangkok Asian Games"	0.168424
"European Championships"	0.164578
"Goodwill Games"	0.164066
"Nagano Olympics"	0.163798
Olympics	0.160038
"Summer Games"	0.158994
"Pan Am Games"	0.158428
"Summer Olympics"	0.155524
"East Asian Games"	0.148684
"Winter Olympics"	0.144635
"National Games"	0.138048
"Winter Olympic Games"	0.137919
"Centennial Olympic Games"	0.135801
"World Athletics Championships"	0.128715
"Nagano Winter Olympics"	0.128426
Asiad	0.126202
Universiade	0.122469
championship	0.121948
"Southeast Asian Games"	0.120968
"European Championship"	0.119926
"Olympic Winter Games"	0.11831
"Summer Olympic Games"	0.114388
"World Swimming Championships"	0.110822
"World Figure Skating Championships"	0.108687
Nagano	0.106739
"Winter Games"	0.106364
"SEA Games"	0.104541
"World Cup"	0.10396
Sydney	0.0955805
"U.S. Open"	0.0944947
"Pikes Peak"	0.089821
"World Youth Games"	0.0894246
Lillehammer	0.0893058
"London Marathon"	0.0888344
"Australian Open"	0.0881781
"New York City Marathon"	0.0869373
Albertville	0.085382
"Asian Championships"	0.0844804
"Skate America"	0.0835329
"Olympic Trials"	0.0832574
"French Open"	0.0828234
"cup final"	0.0818578
Olympiad	0.0802233
"British Open"	0.0787144
Barcelona	0.0784596
"European Swimming Championships"	0.0782471
Masters	0.078027
"Daytona @@@"	0.0768694
"Boston Marathon"	0.0754327
"Euro @@@@"	0.0743414
tourney	0.0731097
Pocono	0.0730761
"Asian Cup"	0.0729727
Paralympics	0.0725572
"World Table Tennis Championships"	0.07255
"three-day event"	0.0693716
"Kentucky Derby"	0.0690209
"Indy @@@"	0.0684707
"College World Series"	0.0675275
Wimbledon	0.0670356
"track meet"	0.0666855
"Southeast Asian"	0.0660864
"Copa America"	0.0659905
"PGA Championship"	0.0650858
"Cannes Film Festival"	0.0649235
"Tour de France"	0.0648366
marathon	0.0644317
"Tour Championship"	0.0634019
Hiroshima	0.0633836
"World Cycling Championships"	0.0629828
"Grammy Awards"	0.0625849
"Brickyard @@@"	0.0624292
"U.S. Senior Open"	0.062407
freestyle	0.0616352
"Academy Awards"	0.0615823
Olympic	0.061177
"U.S. Olympic"	0.060944
"US Open"	0.0609249
"Players Championship"	0.0605443
"Republican National Convention"	0.0591587
"Buick Invitational"	0.0590643
"Confederations Cup"	0.0589618
"Gold Cup"	0.0588906
"NCAA Tournament"	0.0587783
"Roland Garros"	0.0584691
breaststroke	0.0583025
"Millrose Games"	0.0582182
regatta	0.0579287
"Pebble Beach"	0.057862
Seville	0.0575422
Indianapolis	0.0569713
Super-G	0.0565261
Indy	0.0563281
"track and field"	0.0562934
Pir	0.0557357
backstroke	0.0553738
Heptathlon	0.0552854
"Loch Lomond"	0.05502
men's	0.0547477
"Asian Winter Games"	0.0546269
"World Weightlifting Championships"	0.0541921
"Sears Point"	0.0541508
"World Basketball Championship"	0.0541331
"Thomas Cup"	0.0539967
Derby	0.0537683
"Orange Bowl"	0.0536612
"Louis Vuitton Cup"	0.0534157
"Democratic National Convention"	0.0532515
"African Nations Cup"	0.0531883
downhill	0.0527091
slalom	0.0524798
NCAAs	0.0522571
Belfry	0.0520802
Preakness	0.0520445
"Pan Ams"	0.0517827
Daytona	0.0512854
medley	0.0512619
"Grand Prix"	0.0512257
preliminary	0.0511636
"Lincoln Center Festival"	0.0510529
Sestriere	0.0509629
decathlon	0.0503917
"swimming meet"	0.0503112
postseason	0.0501011
"Consumer Electronics Show"	0.0500394
Serie	0.0499662
"Memorial Tournament"	0.0498068
"Ryder Cup"	0.0497279
"Cannes International Film Festival"	0.0493651
"All-Star Game"	0.0490661
"Winning Colors"	0.0489446
"Bay Hill"	0.0488389
"Park City"	0.0487404
"Group B."	0.047996
Wembley	0.0477209
"long jump"	0.0477162
"Stamford Bridge"	0.0473882
"Group A."	0.0473767
"Watkins Glen"	0.0473457
"Fiesta Bowl"	0.0473439
swimming	0.0471991
"Economic and Monetary Union"	0.047059
"Phoenix Open"	0.0468861
"Western Conference"	0.04675
NHIS	0.0466713
"Pacific Classic"	0.0464393
"Le Mans"	0.046418
"Pan Pacific"	0.0462829
"Lipton Championships"	0.0461385
"World Group"	0.0459689
gala	0.0459483
"shot put"	0.0456603
SEOUL	0.0456434
"Tony Awards"	0.0455411
"Olympic Stadium"	0.0455079
"NBA Finals"	0.0453923
Martinsville	0.0453307
"ATP Tour World Championship"	0.0453123
"Rose Bowl"	0.0451294
"X Games"	0.0450256
"Great Western Forum"	0.0449656
"European Cup"	0.0449293
"Indian Wells"	0.0449015
"Sundance Film Festival"	0.0446307
"Monte Carlo"	0.0446012
"Stockholm Open"	0.0445261
"Mastercard Colonial"	0.0445222
Valderrama	0.0444016
"Pauley Pavilion"	0.0443862
Augusta	0.0441288
"Royal Birkdale"	0.0440751
Perth	0.0440301
"San Sebastian"	0.0439708
Doral	0.043772
Fukuoka	0.0437028
athletics	0.0436532
"Arkansas Derby"	0.0435409
"Talladega Superspeedway"	0.0435251
"Champions League"	0.0435227
"Winston Cup"	0.0434474
Stuttgart	0.0433491
"Cotton Bowl"	0.0427837
"Canadian Open"	0.0427285
frac@@	0.0426099
))
("Atlanta Hawks" (desc 6765.62) (sims
"Miami Heat"	0.238687
"Los Angeles Lakers"	0.225727
"Milwaukee Bucks"	0.214556
"Houston Rockets"	0.207805
"Sacramento Kings"	0.207161
"New York Knicks"	0.205262
"San Antonio Spurs"	0.203594
"Portland Trail Blazers"	0.199668
"Detroit Pistons"	0.19933
"Denver Nuggets"	0.197452
"Boston Celtics"	0.192349
"Dallas Mavericks"	0.19203
"Los Angeles Clippers"	0.189583
"Vancouver Grizzlies"	0.188482
"Washington Wizards"	0.183337
"Utah Jazz"	0.182176
"Golden State Warriors"	0.180494
"Indiana Pacers"	0.179681
"Phoenix Suns"	0.177781
"New Jersey Nets"	0.174693
"Chicago Bulls"	0.170129
hawk	0.169135
"San Diego Chargers"	0.168683
"Charlotte Hornets"	0.164515
"Cleveland Cavaliers"	0.164223
"Orlando Magic"	0.163119
"Toronto Raptors"	0.159465
"Calgary Flames"	0.157673
"Indianapolis Colts"	0.155221
"Chicago Bears"	0.154885
"Montreal Canadiens"	0.153353
"Seattle SuperSonics"	0.150962
"Los Angeles Kings"	0.150111
"Philadelphia Flyers"	0.149257
"Miami Dolphins"	0.145214
"Toronto Maple Leafs"	0.143081
"Edmonton Oilers"	0.143061
"Minnesota Timberwolves"	0.143016
"Kansas City Chiefs"	0.140978
"Miami Fusion"	0.138848
"St. Louis Cardinals"	0.138071
"Green Bay Packers"	0.137588
"Florida Panthers"	0.137354
"Philadelphia Eagles"	0.136806
Celtics	0.136143
"Dallas Burn"	0.135626
"Milwaukee Brewers"	0.135174
"San Diego Padres"	0.135147
"Washington Redskins"	0.134254
"Cincinnati Reds"	0.132691
Lakers	0.132136
"Cincinnati Bengals"	0.13203
sixer	0.13117
clipper	0.130649
"New York Giants"	0.129844
"Washington Capitals"	0.128917
"Chicago Blackhawks"	0.128488
Knicks	0.128437
Hornet	0.128371
"Phoenix Mercury"	0.1278
"New York Islanders"	0.127597
"Dallas Cowboys"	0.127521
"New Orleans Saints"	0.127316
"Cleveland Indians"	0.127146
"New York-New Jersey MetroStars"	0.126276
"Seattle Seahawks"	0.125481
"Pittsburgh Pirates"	0.125052
Raptor	0.124915
piston	0.122223
"Boston Red Sox"	0.122063
"Chicago Cubs"	0.12173
"Kansas City Royals"	0.121612
"Chicago Fire"	0.121385
"Minnesota Vikings"	0.12069
"Philadelphia Phillies"	0.119477
"Detroit Tigers"	0.118086
"Oakland Athletics"	0.117435
"Houston Astros"	0.117135
"Minnesota Twins"	0.116754
"Vancouver Canucks"	0.116579
"Buffalo Sabres"	0.116043
"Toronto Blue Jays"	0.115996
"Trail Blazers"	0.115775
"Montreal Expos"	0.115372
"San Jose Sharks"	0.115128
"Buffalo Bills"	0.114924
"New York Mets"	0.114832
"Arizona Cardinals"	0.114722
Timberwolves	0.114636
"New York Jets"	0.114017
"Pittsburgh Steelers"	0.113655
Sonics	0.112456
"New York Liberty"	0.11187
"Detroit Red Wings"	0.110172
"San Francisco @@ers"	0.109743
"Nashville Predators"	0.109628
"Texas Rangers"	0.10944
"New Jersey Devils"	0.109331
"Carolina Panthers"	0.109149
"Phoenix Coyotes"	0.109141
"Chicago White Sox"	0.108929
"Denver Broncos"	0.108749
"Detroit Lions"	0.108589
"New York Rangers"	0.108253
"Florida Marlins"	0.107938
"New York Yankees"	0.107924
"Baltimore Orioles"	0.107773
"Arizona Diamondbacks"	0.107764
"Boston Bruins"	0.107693
"San Francisco Giants"	0.107608
"Los Angeles Dodgers"	0.106918
"CHARLOTTE STING"	0.106883
"Maple Leafs"	0.105837
"Los Angeles Rams"	0.105824
"Mighty Ducks"	0.104906
"New England Patriots"	0.104587
"Tampa Bay Devil Rays"	0.104312
Canadiens	0.103904
"Anaheim Mighty Ducks"	0.103589
"St. Louis Blues"	0.103521
Seahawks	0.103478
"Carolina Hurricanes"	0.103374
"Golden State"	0.103229
"Washington Mystics"	0.103109
"St. Louis Rams"	0.102992
"Red Wings"	0.102857
"Colorado Avalanche"	0.102721
"Seattle Mariners"	0.102531
Portland	0.102392
"Cleveland Browns"	0.101689
pacer	0.101591
maverick	0.101109
"Dallas Stars"	0.100067
"Los Angeles Galaxy"	0.0997446
"ATLANTA FALCONS"	0.0992072
"Tennessee Titans"	0.0991138
nugget	0.099092
Bengals	0.0989216
oiler	0.098783
"Los Angeles Sparks"	0.0987497
Edmonton	0.0981076
MetroStars	0.0980894
bull	0.0979696
"Tar Heels"	0.0978346
Giants	0.0972733
"Baltimore Colts"	0.0961502
Eagles	0.0960679
"Oakland Raiders"	0.0956222
"Atlanta Braves"	0.0953995
Pepperdine	0.0950485
"Anaheim Angels"	0.0949477
"Colorado Rockies"	0.0945816
"Ottawa Senators"	0.094062
"blue jay"	0.0937086
Phillies	0.0926147
"Baltimore Ravens"	0.0926122
islander	0.0920457
A's	0.0920215
Redskin	0.0915938
"Pittsburgh Penguins"	0.0915498
"Green Bay"	0.0914607
"Horned Frogs"	0.0911332
"Tampa Bay Buccaneers"	0.0906269
"D.C. United"	0.0905685
Padre	0.0901952
"Iowa State"	0.0901282
grizzly	0.0899431
bruin	0.08961
Orlando	0.0895727
packer	0.0894505
"Jacksonville Jaguars"	0.0880378
BEARS	0.0875846
Orioles	0.0872724
Milwaukee	0.0868181
cavalier	0.0868169
husky	0.0860536
"Tampa Bay"	0.0859717
panther	0.0854951
Indiana	0.0847351
"San Antonio"	0.0842219
flyer	0.084156
blazer	0.0836313
Minnesota	0.0835112
wildcat	0.0834267
ASTROS	0.0833319
coyote	0.083264
"Atlanta Thrashers"	0.0832105
cowboy	0.083142
"Team USA"	0.0829142
bulldog	0.0828607
Rutgers	0.0827604
Raven	0.0823264
diamondback	0.0821677
falcon	0.0820133
Canuck	0.0815116
Viking	0.0813749
Mets	0.0812083
Cleveland	0.0811777
"blue devil"	0.0811604
raider	0.0811554
))
("Atlanta History Center" (desc 1135.29) (sims
"Philadelphia Museum of Art"	0.167977
"Corcoran Gallery"	0.160208
"San Francisco Museum of Modern Art"	0.154257
"Jewish Museum"	0.152832
"High Museum of Art"	0.147278
"Museum of Natural History"	0.147183
"American Museum of Natural History"	0.145965
"Smithsonian Institution"	0.131731
"Whitney Museum"	0.129659
"British Museum"	0.129272
"Whitney Museum of American Art"	0.127017
"Art Institute of Chicago"	0.125911
"Metropolitan Museum"	0.124687
"Museum of Fine Arts"	0.124625
"Museum of Contemporary Art"	0.120678
"John F. Kennedy Library"	0.117017
"Brooklyn Museum"	0.111208
"Brooklyn Museum of Art"	0.110747
"National Museum"	0.110127
"National Archives"	0.108773
"Museum of Modern Art"	0.107094
"Solomon R. Guggenheim Museum"	0.103756
"Victoria Park"	0.0982249
"National Gallery"	0.0958249
"U.N. Headquarters"	0.0886141
"Guggenheim Museum"	0.0872196
"Plaza Hotel"	0.0870229
Whitney	0.0859523
"Metropolitan Museum of Art"	0.0831393
"Film Forum"	0.0815679
MFA	0.0812274
"Tate Gallery"	0.0791322
"Continental Airlines Arena"	0.0760422
"Georgia World Congress Center"	0.072887
"Olympic Park"	0.0669044
Smithsonian	0.0663867
Macworld	0.066312
Guggenheim	0.0619938
"National Press Club"	0.0615366
"Museum of Chinese History"	0.0609124
"Radio City Music Hall"	0.0605835
"Peking University"	0.0597258
Louvre	0.0595968
"MCI Center"	0.0593449
http://www	0.0575572
"Space Needle"	0.0568461
"bid price"	0.0564946
"Kennedy Center"	0.0557369
Drexel	0.055689
"Hong Kong Convention and Exhibition Center"	0.055057
"Consumer Electronics Show"	0.0538029
"Metropolitan Opera House"	0.0530876
"International Badminton Federation"	0.052951
"Costume Institute"	0.0528303
"Asia Society"	0.0515858
"New York Public Library"	0.0510646
"Riverside Church"	0.0505302
"Walter Reade Theater"	0.0501824
"army engineer"	0.0499462
"Miami Arena"	0.0492359
"International AIDS Conference"	0.0485683
"Wye River Plantation"	0.0485511
"Nassau Coliseum"	0.0485199
"Dorothy Chandler Pavilion"	0.0484927
Roxy	0.0484528
"Pacific Bell Park"	0.0481446
Moma	0.0479804
"Flushing Meadows"	0.0478001
"RFK Stadium"	0.0476092
"Joyce Theater"	0.0474815
"Lincoln Center Festival"	0.0470397
"American Psychological Association"	0.0469147
Aris	0.0468946
"low temperature"	0.046755
"Riviera Country Club"	0.0466092
"Public Theater"	0.0464427
"Fortune Global Forum"	0.0464254
"Nagano Winter Olympics"	0.0460621
"Comerica Park"	0.0459478
"Manhattan Theater Club"	0.0458986
"Elysee Palace"	0.0449788
Cineplex	0.0449313
IMS	0.0448515
Getty	0.0443473
"New York State Theater"	0.0442839
"Philips Arena"	0.0442494
"arm's length"	0.044231
"Court TV"	0.04414
"Arrowhead Stadium"	0.0439737
AWOL	0.0436441
"Nairobi Stock Exchange"	0.0433426
"Lincoln Memorial"	0.0431779
"Market Square Arena"	0.0429329
Monticello	0.0428381
"Continental Arena"	0.0425824
"Hofstra University"	0.0421834
Stormont	0.0421138
"Stade Velodrome"	0.0420919
"Oakland Coliseum"	0.0419979
"about @@ degrees"	0.0411783
"Royal National Theater"	0.0410225
"Oaklawn Park"	0.0408985
hotel-casino	0.0405275
"Hyatt Regency"	0.0402885
Heaney	0.0401188
"Yucca Mountain"	0.0401008
))
("Atlanta Journal" (desc 1448.1) (sims
"San Antonio Express-News"	0.213442
"Atlanta Constitution"	0.203494
"Dallas Morning News"	0.201777
"Orange County Register"	0.201579
"Detroit News"	0.19627
"Kansas City Star"	0.187177
"St. Louis Post-Dispatch"	0.179807
"Fort Worth Star-Telegram"	0.177754
"New York Observer"	0.176357
"Village Voice"	0.157899
"Miami Herald"	0.154685
"Des Moines Register"	0.15057
"National Journal"	0.150394
"San Jose Mercury News"	0.143221
"New York Herald Tribune"	0.142926
"Austin American-Statesman"	0.142333
"Chicago Sun-Times"	0.141015
"Palm Beach Post"	0.139143
"San Francisco Examiner"	0.133959
"Chicago Tribune"	0.129984
"New York Daily News"	0.129129
"Cincinnati Enquirer"	0.123927
Star-Telegram	0.122009
"Koha Ditore"	0.121237
Tennessean	0.121137
"Washington Times"	0.121035
"Denver Post"	0.116189
"New York Post"	0.114581
"Daily Telegraph"	0.109418
"Atlantic Monthly"	0.109146
"San Francisco Chronicle"	0.108344
"Dayton Daily News"	0.10537
"Atlanta Journal-Constitution"	0.105002
"Evening Standard"	0.104343
Haaretz	0.104339
"Los Angeles Times"	0.104121
Star-Ledger	0.103823
"Washington Post"	0.103044
telegraph	0.101878
"Arizona Republic"	0.101149
"Le Figaro"	0.0976636
"New Straits Times"	0.0969224
Maariv	0.0968668
"Daily News"	0.0958119
"Advertising Age"	0.0954364
"Philadelphia Inquirer"	0.092595
"New Republic"	0.0909235
"World Report"	0.0898152
Newsday	0.0892835
"International Herald Tribune"	0.0884989
"TV guide"	0.0855835
"Seattle Times"	0.0845705
"Daily Mail"	0.0833186
"New York Times Magazine"	0.0829821
"El Mundo"	0.0828652
"Weekly Standard"	0.082844
Newsweek	0.0817002
"Houston Chronicle"	0.0815088
"parliamentary democracy"	0.0805518
aldermen	0.0804681
Oregonian	0.0799665
Esquire	0.0795537
"Detroit Free Press"	0.079543
"Wear Daily"	0.0789048
"National Post"	0.0783354
"Asahi Shimbun"	0.0780697
"Hollywood Reporter"	0.0778518
"USA TODAY"	0.0773477
"Wall Street Journal"	0.0764954
Enquirer	0.0746086
"Hartford Courant"	0.0728479
TheStreet.com	0.0726007
"Jerusalem Post"	0.0718152
"Consumer Reports"	0.07074
"American Journal"	0.0706239
"Der Spiegel"	0.0676858
Izvestia	0.067646
"Daytona Beach"	0.0667918
"Seattle Post-Intelligencer"	0.0667194
"Boston Globe"	0.0658456
"Financial Times"	0.0652621
tribune	0.0651517
"Cox Newspapers"	0.063743
"New England Journal"	0.0630413
"Business Week"	0.0629455
"U.S. News"	0.0629033
JAMA	0.0623887
"Modern Library"	0.062308
broadsheet	0.0623078
"Rolling Stone"	0.0614236
"Boston Herald"	0.0608499
"Hearst Newspapers"	0.0604921
"Free Press"	0.0597604
"tabloid newspaper"	0.0592123
"National Enquirer"	0.0589671
"New York Times Book Review"	0.0578793
"Martha Stewart Living"	0.0576871
"Sporting News"	0.0576044
"Sydney Organizing Committee"	0.056568
Antioquia	0.0563647
"Fast Company"	0.0552408
"Cox News Service"	0.0536334
"El Pais"	0.0523899
"Stars &AMP; Stripes"	0.0523657
"Bankers Trust Corp."	0.05221
"Moscow Times"	0.0517345
"Gallup Poll"	0.0514456
gazette	0.0512526
"Metropolitan Transportation Authority"	0.0504758
"Post Express"	0.0502296
Totalfina	0.0499826
"Cable News Network"	0.0496691
OED	0.0496603
"U.S. Constitution"	0.0496498
Hurriyet	0.0494475
"vanity fair"	0.0493333
almanac	0.0490936
Ledger	0.0487749
Itogi	0.0473284
Salon.com	0.0473277
Redbook	0.0472309
"Academy of Motion Picture Arts"	0.0471819
"Sydney Morning Herald"	0.0471265
"Daily Racing Form"	0.0467029
obstetrics	0.0465451
"Guardians Council"	0.0463047
"Random House"	0.0458187
"community newspaper"	0.0453949
Salam	0.0452541
"Radio Free Asia"	0.0450118
"Saturday Evening Post"	0.0448839
newsweekly	0.0446079
"reference work"	0.0444492
"Teen People"	0.0443816
Granma	0.0442453
"Kuala Lumpur Stock Exchange"	0.0442332
"Southeastern Legal Foundation"	0.0442279
"Yediot Ahronot"	0.0440553
"Frontier Corp."	0.0439693
"United Press International"	0.0437861
SCLC	0.0436962
"New York Review"	0.0436792
Babel	0.0436248
"National Association of Broadcasters"	0.0435592
Inquirer	0.0435136
neurology	0.0434561
Post-Intelligencer	0.0430962
Politika	0.0430451
Meta	0.0429938
"New York Times Co."	0.0429806
"Benjamin Franklin"	0.0429341
KLSE	0.0427225
"National Association of Securities Dealers"	0.0425946
"Olympic Council of Asia"	0.0425207
ICA	0.0425036
"Chronicle Books"	0.0424968
"Reserve Bank of Australia"	0.0424385
ophthalmology	0.042307
"Straits Times"	0.042269
PSE	0.042176
"Motion Picture Association of America"	0.0420891
"Disabilities Act"	0.0420838
"Guangming Daily"	0.0419705
"Ethiopian Herald"	0.0418523
Kommersant	0.0418027
Asahi	0.0415429
"Vanguard Group"	0.0414112
"Business Times"	0.0412197
al-Hayat	0.0412061
"Nihon Keizai"	0.0410834
CalPERS	0.0410395
ESPN.com	0.0407677
KSE	0.040659
"opera company"	0.0406133
Sowetan	0.0404684
"New York Civil Liberties Union"	0.040296
))
("Atlanta Journal-Constitution" (desc 15758.7) (sims
Journal-Constitution	0.235949
"Austin American-Statesman"	0.228641
"Boston Globe"	0.215756
"Washington Post"	0.200292
"Chicago Tribune"	0.198923
"Los Angeles Times"	0.192221
"Arizona Republic"	0.1919
"Fort Worth Star-Telegram"	0.186696
"Palm Beach Post"	0.186177
"Washington Times"	0.184497
"USA TODAY"	0.183521
"Kansas City Star"	0.171389
"Dallas Morning News"	0.170734
"Wall Street Journal"	0.170487
"San Francisco Examiner"	0.170398
"Houston Chronicle"	0.167291
"Dayton Daily News"	0.165419
"Village Voice"	0.164461
"New York Times"	0.164385
"New York Post"	0.164227
Star-Telegram	0.163533
"Miami Herald"	0.159478
"Daily News"	0.158432
"Atlanta Constitution"	0.157964
Haaretz	0.155015
"Philadelphia Inquirer"	0.152914
Star-Ledger	0.152725
"San Francisco Chronicle"	0.149882
Newsweek	0.149492
"New York Daily News"	0.145058
"Cox News Service"	0.141145
"New York Observer"	0.140544
"Denver Post"	0.140208
"Chicago Sun-Times"	0.135535
"San Antonio Express-News"	0.129592
Times	0.128407
"New York Times Magazine"	0.128188
"Financial Times"	0.127822
"Cincinnati Enquirer"	0.12557
"Detroit News"	0.124916
"Cox Newspapers"	0.124383
"Boston Herald"	0.123819
"Dow Jones Newswires"	0.122866
"New Republic"	0.122618
"International Herald Tribune"	0.120667
"New York Herald Tribune"	0.119693
"Des Moines Register"	0.119603
Post-Intelligencer	0.118351
"Rolling Stone"	0.117065
American-Statesman	0.116223
"San Jose Mercury News"	0.114895
"Associated Press"	0.113113
"Atlantic Monthly"	0.112493
globe	0.111204
"Daily Telegraph"	0.108515
chronicle	0.108443
"Atlanta Journal"	0.105002
"Advertising Age"	0.103847
"Sports Illustrated"	0.103264
"Business Week"	0.103145
"Le Figaro"	0.102404
Newsday	0.102054
"World Report"	0.0994921
"Jerusalem Post"	0.0976542
"Seattle Times"	0.0968326
AJC	0.0954337
"vanity fair"	0.094843
newspaper	0.0948228
magazine	0.0945849
"Seattle Post-Intelligencer"	0.0941256
"Le Monde"	0.093824
"TV guide"	0.0919295
"Detroit Free Press"	0.0918183
"news service"	0.0915296
Herald	0.0902384
Maariv	0.0890465
Esquire	0.0890247
"National Journal"	0.0881947
"Daily Mail"	0.087557
"Straits Times"	0.0868863
Reforma	0.0866943
journal	0.085205
"Sydney Morning Herald"	0.0842105
"St. Louis Post-Dispatch"	0.083342
"New Straits Times"	0.0831993
Enquirer	0.0810791
telegraph	0.080407
"Business Times"	0.0803469
Reuters	0.0801923
BBC	0.078872
"New England Journal"	0.0784684
tabloid	0.0781676
slate	0.0776142
"Hartford Courant"	0.0773934
tribune	0.0760995
Tennessean	0.0758635
"Der Spiegel"	0.0740191
Oregonian	0.0737486
"United Press International"	0.0719029
"ABC News"	0.0717506
"New York Times Book Review"	0.0711821
weekly	0.0708729
"Zimbabwe News Agency"	0.0702487
Granma	0.0701478
Izvestia	0.070056
"El Pais"	0.0697092
examiner	0.0690464
"Bloomberg News"	0.0685715
"Los Angeles Daily News"	0.068269
"Koha Ditore"	0.0680819
"Weekly Standard"	0.0680778
"Orange County Register"	0.0678598
JAMA	0.0678124
vogue	0.0677183
"Hollywood Reporter"	0.0675665
"CBS News"	0.0669306
Gallup	0.066674
Guardian	0.0661366
"British Broadcasting Corp."	0.0655976
"New Yorker"	0.0653743
Inquirer	0.0648933
Bild	0.0647935
IRNA	0.0647098
"Guangming Daily"	0.0641887
TheStreet.com	0.0640718
"El Mundo"	0.0628291
"American Journal"	0.0627666
"Israel Radio"	0.0614421
al-Hayat	0.061411
"U.S. News"	0.0612956
CNN	0.0612639
newsletter	0.061087
salon	0.0598703
"South China Morning Post"	0.0597463
"Yediot Ahronot"	0.0596681
"Conference Board"	0.059568
pi	0.0595535
"Free Press"	0.0594528
Kommersant	0.0593058
publication	0.0589374
"Xinhua News Agency"	0.0589117
"Cable News Network"	0.0585922
"National Enquirer"	0.0581429
AP	0.0578437
"Ethiopian Herald"	0.0569936
Barron	0.0556257
"Tehran Times"	0.0548923
"Moscow Times"	0.0548233
"Voter News Service"	0.0546514
Salon.com	0.0544665
"National Post"	0.0544433
"Macao Daily News"	0.0542087
"New York Review"	0.0535075
gazette	0.0534956
"National Public Radio"	0.0530041
"Wear Daily"	0.0526494
"New Vision"	0.0517204
"trade publication"	0.0514392
OED	0.0514277
"Egyptian Middle East News Agency"	0.0511482
"Asahi Shimbun"	0.0507565
"Commerce Department"	0.050739
"Yomiuri Shimbun"	0.0507264
"British Broadcasting Corporation"	0.0501275
"Turkish Daily News"	0.0495974
ESPN.com	0.0493489
"NBC News"	0.0492544
AFP	0.0491831
Antara	0.049167
"Jakarta Post"	0.049053
"First Call/Thomson Financial"	0.048874
yearbook	0.0486723
MSNBC	0.0485904
"Dow Jones"	0.0485835
"Business Day"	0.048432
"roll call"	0.0484297
"Al Hayat"	0.0483182
"Pew Research Center"	0.0480046
"National Association of Realtors"	0.0475384
"China Daily"	0.0472201
Lancet	0.0470924
"television station"	0.0468543
"Sporting News"	0.0463603
"wire service"	0.0462414
Xinhua	0.0461514
ABC	0.0460293
"Consumer Reports"	0.0458511
"Kuwait News Agency"	0.0457053
"National Geographic"	0.0454765
"TV station"	0.0449751
"General Accounting Office"	0.0447339
"Labor Department"	0.0446505
broadsheet	0.0441706
"Time Inc."	0.0441445
"Iran News"	0.0440264
TBA	0.043944
Eurostat	0.0438427
Ledger	0.043627
"Census Bureau"	0.0435894
"news agency"	0.0434494
))
("Atlanta Motor Speedway" (desc 4820.75) (sims
"Texas Motor Speedway"	0.2497
"California Speedway"	0.243293
"Las Vegas Motor Speedway"	0.205556
TM	0.197293
"Motor Speedway"	0.193629
"New Hampshire International Speedway"	0.191761
"Indianapolis Motor Speedway"	0.188331
"Michigan Speedway"	0.186209
Martinsville	0.174043
Irwindale	0.160358
"Daytona International Speedway"	0.159591
Daytona	0.156926
"Charlotte Motor Speedway"	0.15066
NHIS	0.142743
Darlington	0.141128
Pocono	0.140141
Pir	0.138748
"Pikes Peak"	0.137731
"Sears Point"	0.13166
"Talladega Superspeedway"	0.131377
Talladega	0.128069
AMs	0.124583
speedway	0.123026
"Watkins Glen"	0.119392
IMS	0.117409
Brickyard	0.116506
Monza	0.116022
Rockingham	0.109539
Indy	0.106654
"Gulfstream Park"	0.104585
cm	0.100372
Silverstone	0.0985194
"Lone Star Park"	0.0983729
"Lone Star"	0.0914185
"Churchill Downs"	0.0913791
"World Cup Finals"	0.0888986
"Suffolk Downs"	0.0883024
Suzuka	0.0870164
Bristol	0.0863165
Fontana	0.0853239
"Park City"	0.0841973
Hakuba	0.0832585
"Lake Louise"	0.0828249
"Santa Anita"	0.0825238
"Lipton Championships"	0.0811343
Gulfstream	0.08109
"Fair Grounds"	0.0809262
Dover	0.0808345
"Hollywood Park"	0.0804445
Loudon	0.0801383
"Nagano Olympics"	0.0798153
"Nagano Winter Olympics"	0.078749
Imola	0.0732266
"British Grand Prix"	0.0729125
homestead	0.0727865
Bormio	0.0708455
"Brooklyn Academy of Music"	0.0699857
"Madison Square Garden"	0.0696069
Indianapolis	0.0694211
"Olympic Winter Games"	0.0693229
Lahti	0.0691287
"Candlestick Park"	0.0690053
"Pleasant Valley"	0.0670597
"bankruptcy protection"	0.0668786
Kitzbuehel	0.0657265
"Del Mar"	0.0651077
"RCA Dome"	0.0646274
"UC Irvine"	0.0645277
"Long Beach"	0.0644779
Saratoga	0.0644189
Eastbourne	0.0638955
"Japanese Grand Prix"	0.0634106
"World Figure Skating Championships"	0.0632911
"World Cycling Championships"	0.0630019
"Le Mans"	0.0629511
Pimlico	0.0627687
Aqueduct	0.0625663
"Foxboro Stadium"	0.0610423
"Miami Fusion"	0.0600254
FleetCenter	0.0595389
"Turner Field"	0.0590598
Lowe	0.0586145
"America West Arena"	0.0583821
"Reunion Arena"	0.058279
"Indian Wells"	0.0578027
Sestriere	0.0575307
Foxboro	0.057272
Edgbaston	0.056983
"Compaq Center"	0.0569472
"Southeast Asian Games"	0.0566503
"Comiskey Park"	0.0565916
"East Lake"	0.0561012
"Belmont Park"	0.0559546
"Shrine Auditorium"	0.0558368
Meadowlands	0.0557846
Charlotte	0.0556138
"Georgia Dome"	0.0552837
"Delta Center"	0.0551901
"Olympic Club"	0.0544583
"Goodwill Games"	0.0543482
"Consumer Electronics Show"	0.054321
"Market Square Arena"	0.0540005
"World Weightlifting Championships"	0.0538007
Richmond	0.0537262
"Busch Stadium"	0.0537207
"Fort Campbell"	0.0532554
CNOOC	0.052995
"Australian Olympic Committee"	0.052488
"World University Games"	0.0518756
"Pan Am Games"	0.0516897
raceway	0.0516026
Innsbruck	0.0510096
Pinehurst	0.0508617
"MCI Center"	0.0508399
"Academy of Motion Picture Arts"	0.0506287
"Atlanta Thrashers"	0.0505164
SkyDome	0.0504243
"Jacobs Field"	0.0503249
"County Stadium"	0.0502152
"European Swimming Championships"	0.050064
"U.S. Soccer Federation"	0.0498914
"Sydney Olympic Games"	0.0498195
"Pebble Beach"	0.0497084
"Wrigley Field"	0.0495299
"Kauffman Stadium"	0.04944
Metrodome	0.0494346
"International Badminton Federation"	0.0493518
"Millrose Games"	0.0485976
"Golden State Warriors"	0.0483451
"MGM Grand"	0.0482879
"Turn @"	0.0481975
"Pan American Games"	0.0481532
Sahalee	0.0480929
Wembley	0.0479931
"New York Rangers"	0.0479317
"Giants Stadium"	0.0478124
PICC	0.0477134
"Oak Tree"	0.0476639
oval	0.0474118
"Joyce Theater"	0.0473586
"Johnson Space Center"	0.0472499
"Tropicana Field"	0.0471982
"Texas Stadium"	0.0468757
Norfolk	0.0468492
"Continental Arena"	0.04679
"track meet"	0.0467695
"World Athletics Championships"	0.0466354
"Lincoln Center Festival"	0.0465962
CNPC	0.0465168
"Bangkok Asian Games"	0.0465049
"about @:@@"	0.0461742
"Sydney Olympics"	0.0461467
"European Championships"	0.0460245
"Atlanta Olympic Games"	0.0459442
"Oaklawn Park"	0.0459112
"Sydney Games"	0.0457171
Kingdome	0.0455112
"preparatory school"	0.0454249
"New York City Marathon"	0.045286
TALLAHASSEE	0.0452579
"Pepsi @@@"	0.0451316
Hialeah	0.04478
"Royal Birkdale"	0.0447796
"National Tennis Center"	0.0446694
Linz	0.0444965
"Conseco Fieldhouse"	0.044428
"Lambeau Field"	0.044172
"Radio City Music Hall"	0.0441298
Superdome	0.0440543
"Atlanta Olympics"	0.043991
"Exposition Park"	0.0437181
"German Open"	0.0437141
Tucson	0.0435989
"Kennedy Center"	0.043545
Coliseum	0.0429887
"Seattle Seahawks"	0.0429355
"Fenway Park"	0.0428779
"Olympic Trials"	0.042877
"Pacific Bell Park"	0.0427133
"Dodger Stadium"	0.0426
"Nashville Predators"	0.0424405
"Pauley Pavilion"	0.0423258
"Summer Olympics"	0.0421961
CPAFFC	0.0420845
"Fleet Center"	0.041981
"Oakland Coliseum"	0.0419345
"P.S @@@"	0.0418738
"Memorial Tournament"	0.0418218
Hanover	0.0417246
Langkawi	0.0416746
"United Center"	0.0416118
"Seattle SuperSonics"	0.0415994
"Camden Yards"	0.0415384
Heerenveen	0.0415262
"Hendrick Motorsports"	0.0414061
"Bay Hill"	0.0412629
Memphis	0.0411246
Seville	0.0410755
"Safeco Field"	0.0409581
"Shea Stadium"	0.0409058
))
("Atlanta Olympic" (desc 2895.58) (sims
"Sydney Olympic"	0.181757
"Chinese Olympic"	0.17694
"Pan Ams"	0.154532
"double gold"	0.153025
"World Championship"	0.152143
four-time	0.128052
three-time	0.126768
medallist	0.118605
"Atlanta Olympics"	0.117481
"U.S. Olympic"	0.11724
"Pan Pacific"	0.112998
Asiad	0.112782
"Uber Cup"	0.112422
five-time	0.10622
Seven-time	0.104888
"Asian Games"	0.104279
CONCACAF	0.103791
medalist	0.1034
"Kremlin Cup"	0.100949
"U.S. Amateur"	0.100777
"National Collegiate Athletic Association"	0.0999198
nine-time	0.095999
"European Cup"	0.0958843
"Fed Cup"	0.0957494
"Federation Cup"	0.0957437
"Commonwealth Games"	0.0934746
"Top Fuel"	0.0910979
"SEA Games"	0.0904021
"United States Open"	0.0872548
"Pan Am Games"	0.0859882
eight-time	0.0857512
six-time	0.0855091
"junior lightweight"	0.0850823
cruiserweight	0.0849255
"high jump"	0.084498
"hammer throw"	0.0844374
"Atlantic Coast Conference"	0.0829209
pre-Olympic	0.0815591
Maurier	0.0815517
"Japan Open"	0.0807083
"Southeast Asian Games"	0.0806461
"F.A Cup"	0.080361
"Hopman Cup"	0.0797656
badminton	0.0790491
EuroLeague	0.0782273
bantamweight	0.0779397
"FA Cup"	0.0774721
"French Open"	0.0770444
"National Invitation Tournament"	0.0767312
Universiade	0.07578
WCC	0.0756441
"Louis Vuitton Cup"	0.0753347
"European Champions Cup"	0.0751276
Cliburn	0.0736258
decathlon	0.0735097
"Italian League"	0.0725154
"Libertadores Cup"	0.0720482
three-meter	0.0714231
skeet	0.0714003
"Pan Am"	0.071236
pentathlon	0.0711897
breaststroke	0.0711149
Lipton	0.0710655
"World League"	0.0708811
"spelling bee"	0.0706689
"light heavyweight"	0.0700165
"Canadian Open"	0.0698661
"Champions Cup"	0.0696611
"Big Sky Conference"	0.0693461
"Salt Lake"	0.06873
"Euro @@@@"	0.0685937
CAA	0.0683893
"junior welterweight"	0.0679649
"Funny Car"	0.0671949
"Conference USA"	0.06719
"Copa America"	0.067182
snooker	0.067107
nit	0.0670055
"Big West"	0.0670022
rowing	0.0669088
"Southeastern Conference"	0.06689
"Division @"	0.0662427
"junior middleweight"	0.0662015
"German Open"	0.0660365
weightlifting	0.0657105
"Asian Cup"	0.0652061
"Goodwill Games"	0.0643225
"Australian Open"	0.0642139
"Maurier Open"	0.0637099
"Hong Kong Open"	0.0634118
"Stockholm Open"	0.0632687
"Thomas Cup"	0.0631591
two-time	0.063052
"Pan American Games"	0.0624751
"AFC Central"	0.0621053
Gymnastics	0.0620673
"long jump"	0.0617944
titlist	0.0616659
freestyle	0.0616017
"Sudirman Cup"	0.0615278
featherweight	0.0614634
NHRA	0.0613124
flyweight	0.0613075
"Sydney Olympics"	0.0609929
"Grand Slam Cup"	0.0609064
"table tennis"	0.0604866
GP	0.0603911
"figure skating"	0.0601655
Iditarod	0.0598882
"Italian Open"	0.0595905
steeplechase	0.0595708
"World Boxing Association"	0.0594953
"Bangkok Asian Games"	0.0594165
"AFC West"	0.0591575
"US Open"	0.059146
"London Marathon"	0.0591381
"field hockey"	0.0591157
"World Boxing Council"	0.0584615
"Busch Grand National"	0.0584072
judo	0.0583516
"NL Central"	0.0582288
"Paris Open"	0.058092
arch-rivals	0.0579425
"pole vault"	0.0579177
"Gold Cup"	0.057068
"Big Sky"	0.0569942
Heptathlon	0.0569182
"shot put"	0.0569106
"Davis Cup World Group"	0.056808
"water polo"	0.0566185
favourite	0.0565089
under-@@	0.0562051
"International Boxing Federation"	0.0561018
backstroke	0.0560677
"Italian Cup"	0.0560551
epee	0.0560188
Super-G	0.0557213
fide	0.0556291
triathlon	0.0555113
javelin	0.0554563
"Hamlet Cup"	0.0554371
"Western Open"	0.0553625
"World Championships"	0.0553512
"Western Athletic Conference"	0.0552979
"African Nations Cup"	0.0552813
"Acura Classic"	0.0552164
"Olympic Park"	0.0550215
MCC	0.0548749
"Little League World Series"	0.054731
UNAMET	0.0547172
"Southwest Conference"	0.0546736
"South American"	0.0546172
dressage	0.0546117
"Midwest Regional"	0.0542038
Giro	0.0540213
"AL Central"	0.0537913
Ibo	0.053791
"UEFA Cup"	0.0537899
taekwondo	0.0537218
ATP	0.0532766
cycling	0.0531882
"College World Series"	0.0531711
"Mastercard Colonial"	0.0531189
"NFC East"	0.0526597
"Brooke Bennett"	0.0526366
Oceania	0.0525511
"Eastern Division"	0.0525011
Brickyard	0.0523128
ACC	0.0517669
"European Championship"	0.0517286
"Defense Agency"	0.0516193
welterweight	0.0516047
"NL East"	0.0515185
medley	0.0511368
ml	0.0510855
"West Regional"	0.0508905
"Swiss Open"	0.050829
"American League West"	0.0507055
WAC	0.0505915
"League Cup"	0.0501123
Nagano	0.0499756
C-USA	0.0498772
DFB	0.0496449
"NCAA Tournament"	0.0493364
"Special Olympics"	0.0493305
"Boston Marathon"	0.0493172
GSS	0.0493129
WTA	0.0492254
"other seven"	0.0490816
"Big East"	0.0490278
"U.S. Senior Open"	0.0489008
"Nissan Open"	0.0488934
"Legg Mason"	0.0488563
"Indy @@@"	0.0488527
Sion	0.0487139
USGA	0.0486751
Ironman	0.0481536
archery	0.0480316
"Davis Cup"	0.0479911
Heyns	0.0476976
))
("Atlanta Olympic Games" (desc 8964.85) (sims
"Atlanta Olympics"	0.328463
"Sydney Olympic Games"	0.309784
"Atlanta Games"	0.295066
"Barcelona Olympics"	0.259216
"Sydney Olympics"	0.254923
"Olympic Games"	0.251596
"Asian Games"	0.234929
"Barcelona Games"	0.229227
"European Championships"	0.227766
"Commonwealth Games"	0.227629
"World University Games"	0.219946
"Sydney Games"	0.215836
"World Championships"	0.211355
"World Athletics Championships"	0.206234
"Centennial Olympic Games"	0.204128
"Eighth National Games"	0.195535
"World Junior Championships"	0.194594
"Goodwill Games"	0.190479
"National Games"	0.17717
"Pan American Games"	0.17503
"Summer Olympics"	0.17492
"Bangkok Asian Games"	0.174258
"Nagano Olympics"	0.172036
"Seoul Olympics"	0.171283
"European Championship"	0.170757
"Olympic Winter Games"	0.170163
"Winter Olympics"	0.16661
"East Asian Games"	0.162174
Olympics	0.158873
"Winter Olympic Games"	0.155764
"Pan Am Games"	0.155733
Universiade	0.152957
"Summer Games"	0.152317
"World Figure Skating Championships"	0.151834
Asiad	0.150843
"Australian Open"	0.141569
"Southeast Asian Games"	0.13755
"Summer Olympic Games"	0.136107
championship	0.134532
"European Swimming Championships"	0.130446
"Nagano Winter Olympics"	0.129653
"Asian Cup"	0.12817
"World Cup"	0.126221
"World Swimming Championships"	0.125654
"SEA Games"	0.121331
"World Table Tennis Championships"	0.118047
"Asian Winter Games"	0.117488
"Southeast Asian"	0.116265
"Asian Championships"	0.114522
Nagano	0.112292
"World Weightlifting Championships"	0.111665
Sydney	0.111634
"French Open"	0.11044
Lillehammer	0.1086
Paralympics	0.10834
"U.S. Open"	0.108154
"London Marathon"	0.10707
"African Nations Cup"	0.104362
"World Cycling Championships"	0.102206
"Euro @@@@"	0.101764
"Confederations Cup"	0.101159
"cup final"	0.0999348
"Indian Wells"	0.0995804
Hakuba	0.0990689
"three-day event"	0.0987193
"Melbourne Park"	0.0983524
Kitzbuehel	0.0977443
"Lipton Championships"	0.0973843
"Winter Games"	0.097068
Eastbourne	0.0948039
"World Youth Games"	0.0940739
tourney	0.092101
Halle	0.091317
"New York City Marathon"	0.0894907
"Roland Garros"	0.0892563
"Thomas Cup"	0.0887953
"Tour de France"	0.0887773
"World Basketball Championship"	0.08715
"Boston Marathon"	0.0871436
"British Open"	0.0857551
Olympic	0.0852058
"Olympic Trials"	0.0851148
Seville	0.0843877
regatta	0.0834849
"US Open"	0.0831296
freestyle	0.0830766
"Louis Vuitton Cup"	0.0827887
Wimbledon	0.0818611
"World Team Cup"	0.0816226
Albertville	0.0815715
"European Cup"	0.0809757
Sestriere	0.0798999
"Tour Championship"	0.0798854
"Grand Slam Cup"	0.079261
"U.S. Senior Open"	0.0787858
Gelsenkirchen	0.0776877
"ASEAN Ministerial Meeting"	0.0769818
"Grand Prix"	0.0768998
Linz	0.0766084
Barcelona	0.0764569
"ATP Tour World Championship"	0.0764543
"Canadian Open"	0.076371
marathon	0.0762436
Perth	0.0762391
"Republican National Convention"	0.0753744
"Nations Cup"	0.0742348
"Cannes Film Festival"	0.0736104
"Skate America"	0.0734337
Fukuoka	0.0731474
breaststroke	0.0729031
"German Open"	0.0728635
backstroke	0.0720973
men's	0.0720446
"Grammy Awards"	0.071323
"Swiss Open"	0.0712362
Super-G	0.0710273
"Brickyard @@@"	0.070754
"British Grand Prix"	0.0706851
"Copa America"	0.0705545
"Key Biscayne"	0.0702497
"track meet"	0.0699568
"Buick Invitational"	0.069947
"table tennis"	0.0699145
decathlon	0.0696056
scull	0.0695206
"Stockholm Open"	0.0694878
"Lincoln Center Festival"	0.0694601
"World Food Summit"	0.069344
"Italian Open"	0.0693026
"Pan Pacific"	0.0690963
Bormio	0.0690008
"Indy @@@"	0.0688313
"Millennium Summit"	0.0687641
"high jump"	0.0682537
"Players Championship"	0.0680781
Olympiad	0.0677487
"Daytona @@@"	0.0674362
medley	0.0670046
Filderstadt	0.0669565
"World Petroleum Congress"	0.0667425
slalom	0.0666192
"Pan Ams"	0.0665145
"Melbourne Cricket Ground"	0.0664167
"African Cup"	0.0661659
triathlon	0.0653272
"Basketball Championship"	0.0651961
"ATP Championship"	0.0648476
Heptathlon	0.0648002
"shot put"	0.0644792
Masters	0.0642851
"Pleasant Valley"	0.0640771
"Kentucky Derby"	0.0639336
PALERMO	0.0638933
"Pikes Peak"	0.0638753
"Bay Hill"	0.0626919
Lahti	0.0626069
"Sydney Olympic"	0.0625588
"Fortune Global Forum"	0.0623585
"International AIDS Conference"	0.0621638
"Monte Carlo"	0.0619943
"Democratic National Convention"	0.0618665
"French Grand Prix"	0.0618033
"Lunar New Year"	0.0613459
"Santa Anita Derby"	0.0612908
"long jump"	0.0610051
volleyball	0.0606479
"Paris Open"	0.0604468
"Sundance Film Festival"	0.0601033
"UEFA Cup"	0.0600318
Adelaide	0.0599535
downhill	0.0594331
springboard	0.0591554
dressage	0.0585059
semifinal	0.0583829
"horizontal bar"	0.0582087
Monza	0.0581188
Malmo	0.0578758
Pir	0.0578744
"World League"	0.0578503
"Champions League"	0.0577538
"Group A."	0.057643
"swimming meet"	0.0576184
"National Invitation Tournament"	0.0573986
"International Symposium"	0.0573773
"San Sebastian"	0.0573417
"track and field"	0.0571552
Brisbane	0.0568563
Hiroshima	0.0566937
"Hong Kong Open"	0.0558374
Indianapolis	0.0557327
"Academy Awards"	0.0554877
"PGA Championship"	0.0554412
"Chase Championships"	0.0554311
qualifier	0.0553007
"Phoenix Open"	0.0552933
"World Cup Finals"	0.0549686
"Hamlet Cup"	0.0548928
inaugural	0.0547012
"Pebble Beach"	0.0546615
Innsbruck	0.0546289
))
("Atlanta Olympics" (desc 14919.8) (sims
"Atlanta Olympic Games"	0.328463
"Atlanta Games"	0.265994
"Barcelona Olympics"	0.249735
"Barcelona Games"	0.230816
"Sydney Olympics"	0.216173
"World Championships"	0.209849
"Sydney Olympic Games"	0.209524
"Commonwealth Games"	0.203168
"Olympic Games"	0.196579
"Sydney Games"	0.19571
Olympics	0.195217
"European Championships"	0.194046
"Asian Games"	0.191377
"Nagano Olympics"	0.191363
"World Junior Championships"	0.170969
"Goodwill Games"	0.169835
"Summer Olympics"	0.167167
"Bangkok Asian Games"	0.162373
"Pan American Games"	0.161153
"Summer Games"	0.159203
"Seoul Olympics"	0.158163
"World Athletics Championships"	0.157519
"Eighth National Games"	0.155489
"Centennial Olympic Games"	0.155301
"Pan Am Games"	0.145872
Asiad	0.140364
"European Championship"	0.136869
"World University Games"	0.134629
championship	0.134568
"Winter Olympics"	0.134536
"SEA Games"	0.133925
"World Figure Skating Championships"	0.133138
"Nagano Winter Olympics"	0.130059
"World Cup"	0.128069
"National Games"	0.124964
Universiade	0.120143
"Australian Open"	0.120052
"Atlanta Olympic"	0.117481
"Winter Olympic Games"	0.115807
"World Swimming Championships"	0.112438
"Olympic Winter Games"	0.109401
"Southeast Asian Games"	0.108108
Nagano	0.10662
Paralympics	0.106615
"East Asian Games"	0.106327
breaststroke	0.104714
"London Marathon"	0.103413
"Skate America"	0.100552
"U.S. Open"	0.098318
Sydney	0.0975467
freestyle	0.0973173
"Asian Championships"	0.0966449
backstroke	0.0962055
"Summer Olympic Games"	0.0932807
"Winter Games"	0.0931002
"French Open"	0.0917681
Seville	0.0905146
"Pan Ams"	0.09033
"New York City Marathon"	0.0902305
"cup final"	0.0900102
Barcelona	0.0895785
"Olympic Trials"	0.0888866
"European Swimming Championships"	0.0881993
"Asian Cup"	0.0880677
"swimming meet"	0.0871623
Lillehammer	0.0869255
"Euro @@@@"	0.0853559
"Thomas Cup"	0.0846761
tournament	0.0836816
relay	0.0833723
tourney	0.0809224
medley	0.0806556
"Copa America"	0.0805079
"three-day event"	0.0796015
"track meet"	0.0795358
"Southeast Asian"	0.0791964
men's	0.0791732
"British Open"	0.0791551
"African Nations Cup"	0.0782894
"Sudirman Cup"	0.0782255
Heptathlon	0.0776211
"World Cycling Championships"	0.0775897
"long jump"	0.0775703
"World Weightlifting Championships"	0.0764442
"Daytona @@@"	0.0761502
"US Open"	0.0758639
marathon	0.0758394
"World Youth Games"	0.0757685
"European Cup"	0.0757683
Masters	0.0754294
Wimbledon	0.0748371
"Canadian Open"	0.0736106
"Confederations Cup"	0.0734957
"World Table Tennis Championships"	0.0727556
"Boston Marathon"	0.0726112
"shot put"	0.0718232
"Grand Prix"	0.0712423
"Tour de France"	0.0707357
decathlon	0.0695923
"World Basketball Championship"	0.0695756
butterfly	0.0694199
Olympic	0.0693692
"Pan Pacific"	0.0684184
Super-G	0.0682858
"Pikes Peak"	0.0682342
"high jump"	0.0675934
"Indy @@@"	0.0674941
"Tour Championship"	0.0671865
"U.S. Olympic"	0.0670797
"Sydney Olympic"	0.0669774
Hiroshima	0.0663305
"hammer throw"	0.0655963
athletics	0.0652088
"pole vault"	0.0650555
scull	0.0648333
Indy	0.0646787
regatta	0.0642128
"Gold Cup"	0.0640389
Olympiad	0.0636886
"Louis Vuitton Cup"	0.0635618
NHIS	0.0634047
"United States Open"	0.0615317
Albertville	0.0610805
slalom	0.0607083
triathlon	0.0599418
"Italian Open"	0.059564
"Brickyard @@@"	0.0594424
"World Cup Finals"	0.0590562
downhill	0.0589732
ATHENS	0.0586832
medallist	0.0586384
hurdle	0.058018
"Uber Cup"	0.05759
"Asian Winter Games"	0.0573954
"track and field"	0.0573594
cup	0.0572924
"Kentucky Derby"	0.0570857
"Ryder Cup"	0.0570025
Sestriere	0.0567252
Rockingham	0.0566701
Eastbourne	0.0565406
"College World Series"	0.0562561
"PGA Championship"	0.0562214
"Nations Cup"	0.0561312
"Hong Kong Open"	0.0559328
swimming	0.0556425
semifinal	0.0553082
"Roland Garros"	0.0552797
"Fed Cup"	0.0545686
"table tennis"	0.0545541
"U.S. Senior Open"	0.0545302
Indianapolis	0.0538908
"NCAA Tournament"	0.0538725
sprint	0.0538491
"Grand Slam Cup"	0.0538221
Daytona	0.0532785
volleyball	0.0531908
springboard	0.0531414
"Federation Cup"	0.0528846
"Players Championship"	0.0526565
medalist	0.0526348
"Monte Carlo"	0.0524307
Gymnastics	0.0523904
quarterfinal	0.0522999
"Watkins Glen"	0.0518133
preliminary	0.0517837
Hakuba	0.051542
"pommel horse"	0.0515177
"Chinese Olympic"	0.0512034
Maurier	0.0510776
"Tony Awards"	0.0510383
"All-Star Game"	0.0509023
Bormio	0.0508546
Derby	0.0506487
"Mastercard Colonial"	0.0504541
"Fiesta Bowl"	0.0498556
"French Grand Prix"	0.0497738
steeplechase	0.0497577
"Indianapolis Motor Speedway"	0.0490636
"Nissan Open"	0.0487831
"Davis Cup"	0.0483641
"International AIDS Conference"	0.0483009
"Texas Motor Speedway"	0.0482419
postseason	0.0481071
"Phoenix Open"	0.0480837
badminton	0.0480279
Fukuoka	0.0480214
"Super Bowl"	0.0478638
Brisbane	0.0476606
Lahti	0.0476301
Perth	0.0476085
pageant	0.0474598
"Republican National Convention"	0.0474276
Lipton	0.0472876
"Las Vegas Motor Speedway"	0.0472379
"Olympic Park"	0.0471483
"X Games"	0.0469634
Pocono	0.0469375
"Lipton Championships"	0.0468993
"Santa Anita Derby"	0.0466713
))
("Atlanta Thrashers" (desc 2234.1) (sims
"Nashville Predators"	0.241172
"Anaheim Mighty Ducks"	0.236933
"Chicago Blackhawks"	0.20878
"Calgary Flames"	0.174876
"Toronto Maple Leafs"	0.166803
"Dallas Burn"	0.161936
"New York-New Jersey MetroStars"	0.16081
"Buffalo Sabres"	0.151452
"Vancouver Canucks"	0.141327
"Edmonton Oilers"	0.137688
thrasher	0.137313
"Pittsburgh Penguins"	0.135582
"Philadelphia Flyers"	0.130857
"Cleveland Browns"	0.12886
"Chicago Fire"	0.118752
"Milwaukee Bucks"	0.116295
"Florida Panthers"	0.115983
"New Jersey Nets"	0.11593
"Denver Nuggets"	0.115492
"New York Liberty"	0.114402
"Tampa Bay Lightning"	0.11435
"New York Rangers"	0.114082
"Miami Fusion"	0.113485
"San Jose Sharks"	0.113078
"Mighty Ducks"	0.111739
"Los Angeles Kings"	0.109577
"Phoenix Coyotes"	0.108306
"Cleveland Cavaliers"	0.107456
"Los Angeles Clippers"	0.106534
"Golden State Warriors"	0.105665
"Carolina Hurricanes"	0.105143
"Dallas Mavericks"	0.10454
"Seattle SuperSonics"	0.104371
"Dallas Stars"	0.104117
"International Badminton Federation"	0.103558
"Vancouver Grizzlies"	0.103157
"Washington Wizards"	0.101572
"Detroit Red Wings"	0.100543
"Arizona Diamondbacks"	0.100169
"Orlando Magic"	0.0993063
"New Jersey Devils"	0.099036
"Toronto Raptors"	0.0987914
"Colorado Rockies"	0.098639
"Colorado Avalanche"	0.0966513
"Detroit Pistons"	0.0958191
"Boston Bruins"	0.0953934
"Green Bay Packers"	0.0952732
"English Football Association"	0.0947094
"New York Islanders"	0.0934071
"Florida Marlins"	0.0933625
"Houston Astros"	0.0916981
"New Orleans Saints"	0.0908383
"Indiana Pacers"	0.0905242
"St. Louis Blues"	0.0900859
"Seattle Seahawks"	0.0894996
"Miami Heat"	0.0890613
"Sacramento Kings"	0.087415
"Charlotte Hornets"	0.0872901
"Montreal Canadiens"	0.0872112
"Washington Capitals"	0.0860991
"Ottawa Senators"	0.0856847
"Phoenix Mercury"	0.085012
"Los Angeles Sparks"	0.0849658
"Phoenix Suns"	0.0841949
"Atlanta Hawks"	0.0832105
"San Diego Chargers"	0.0832026
"Detroit Tigers"	0.0821602
"Milwaukee Brewers"	0.0815927
"Miami Dolphins"	0.0815043
"Washington Mystics"	0.0810344
"Tampa Bay Devil Rays"	0.081019
"New York Knicks"	0.0809135
"Buffalo Bills"	0.080653
"Maple Leafs"	0.0803635
"Washington Redskins"	0.0797146
"Minnesota Twins"	0.0793388
"Toronto Blue Jays"	0.0793196
"Chicago Bulls"	0.0792473
"Baltimore Ravens"	0.0782747
"Portland Trail Blazers"	0.0777368
"Houston Rockets"	0.0769049
"Philadelphia Eagles"	0.076895
"San Francisco @@ers"	0.0767099
"Kansas City Royals"	0.0763047
"CHARLOTTE STING"	0.0755469
diamondback	0.0748887
"New York Mets"	0.0747822
"Philippine Stock Exchange"	0.0747669
"Pittsburgh Pirates"	0.0743549
"Cincinnati Bengals"	0.0735143
"Oakland Raiders"	0.072923
"D.C. United"	0.0729086
"Utah Jazz"	0.0727611
"Los Angeles Lakers"	0.0724652
"Baltimore Colts"	0.0722421
"Tennessee Titans"	0.0718985
"Kansas City Chiefs"	0.071873
"Chicago Bears"	0.0717115
"Minnesota Vikings"	0.070527
"Anaheim Angels"	0.0704586
"Dallas Cowboys"	0.070117
"Montana State"	0.0700555
"Boston Red Sox"	0.0698657
"San Diego Padres"	0.0694956
"Indianapolis Colts"	0.0694586
"devil ray"	0.069404
"Wimbledon Tennis Championships"	0.0688933
"Arizona Cardinals"	0.068782
"Texas Rangers"	0.0686205
"Boston Celtics"	0.0682951
"European Swimming Championships"	0.0681965
clipper	0.0681612
"New England Patriots"	0.0676167
Canuck	0.0676139
"Los Angeles Dodgers"	0.0673933
"Chicago White Sox"	0.0668478
"Atlanta Braves"	0.066793
"San Francisco Giants"	0.0664519
"Joint Liaison Group"	0.0663358
"London Metal Exchange"	0.0660429
"ATLANTA FALCONS"	0.0656095
Edmonton	0.0655721
islander	0.0655504
Canadiens	0.0652765
"Baltimore Orioles"	0.0650949
"Cincinnati Reds"	0.0650628
"Los Angeles Galaxy"	0.0648401
"Philadelphia Phillies"	0.0648256
"U.S. Soccer Federation"	0.0641178
"Melbourne Park"	0.0640729
"Hopman Cup"	0.0640659
"Berlin Philharmonic"	0.0639448
WNBA	0.0638897
"San Antonio Spurs"	0.063112
"New York Giants"	0.0628461
"Seton Hall"	0.0626241
"Shanghai Stock Exchange"	0.0623656
"St. Louis Cardinals"	0.0619369
"Oakland Athletics"	0.0617707
MetroStars	0.0617274
Phillies	0.0616737
Raptor	0.0614986
Orioles	0.0614718
"Detroit Lions"	0.0613231
"Catalina Cristea"	0.0611931
"Seattle Mariners"	0.061095
panther	0.0610582
Cavs	0.0609265
"Ball State"	0.0608374
coyote	0.0605988
"Sydney Organizing Committee"	0.0601834
flyer	0.0601371
Timberwolves	0.0601244
"San Jose State"	0.059871
"Denver Broncos"	0.0595871
Baylor	0.0594622
"Jacksonville Jaguars"	0.059147
"Montreal Expos"	0.0591275
"Mississippi State"	0.0591203
"Iowa State"	0.0590142
"Oregon State"	0.0586729
"Iranian Foreign Ministry"	0.0586678
"World Cycling Championships"	0.0581943
packer	0.0580791
"Turkish Daily News"	0.0580613
Linz	0.0580282
hyphen	0.0576462
"Seibu Lions"	0.05753
"Cleveland Indians"	0.0574818
cavalier	0.0573072
"Red Wings"	0.0572265
Kitzbuehel	0.0571954
"Stockholm Open"	0.0570372
Filderstadt	0.0566693
"New York Jets"	0.0561899
"Football Association"	0.0561745
"Brooklyn Academy of Music"	0.0561302
"Houston Oilers"	0.0559669
CNPC	0.0559521
"Nottingham Forest"	0.0559453
"Tar Heels"	0.0558375
"Chase Manhattan Corp."	0.0555263
grizzly	0.0554628
third-best	0.0553934
"Golden State"	0.0552657
"Secretary General Esmat Abdel-Meguid"	0.0552238
"Pittsburgh Steelers"	0.0551706
"ABC Sports"	0.0550894
Rutgers	0.0550712
"two pitchers"	0.0548839
"Boston College"	0.0546528
"Texas Tech"	0.0546429
"Fresno State"	0.0544263
"French Foreign Ministry"	0.0543036
"Southern Methodist"	0.0541606
"National Trust"	0.0539131
Burgos	0.0538809
"China National Petroleum Corporation"	0.0537672
"Louisiana Tech"	0.0537394
"Minnesota Timberwolves"	0.0537126
))
(Atlantan (desc 1198.33) (sims
"North Carolinian"	0.138782
Bostonian	0.137605
Washingtonian	0.134998
Ohioan	0.109773
"New Englander"	0.097618
"altar boy"	0.0965085
Virginian	0.0962233
Aggie	0.092281
Mississippian	0.0922379
Kansan	0.0915849
"little leaguer"	0.088997
householder	0.0879805
Minnesotan	0.0878691
stuntman	0.0872489
Floridian	0.0869746
Yugoslavian	0.0860249
Northerner	0.085441
Kurd	0.0841197
"exotic dancer"	0.0833333
Tennessean	0.0831047
Southerner	0.0803996
"eye doctor"	0.079507
Vermonter	0.0775414
"Peter Verniero"	0.0768838
bodybuilder	0.0768825
techie	0.0754553
"world traveler"	0.0754296
"South Carolinian"	0.0722688
"NBA All-Star"	0.0710254
"big leaguer"	0.0708334
"drama critic"	0.0707229
Midwesterner	0.0694791
sadist	0.0687084
bricklayer	0.0683781
Missourian	0.0676349
"Christian Democrat"	0.0671713
beautician	0.0671449
"test pilot"	0.0670882
"campaign worker"	0.0669578
Arizonan	0.0668314
"aerospace engineer"	0.0666992
"postmaster general"	0.0662703
"farm boy"	0.0661827
landscaper	0.0661462
Berliner	0.0660583
"good person"	0.0644985
fifth-grader	0.0644279
"police captain"	0.0633961
"eagle scout"	0.0633656
"guitar player"	0.0631513
"interior decorator"	0.0628595
Englishman	0.0627621
Parisian	0.0623491
Iowan	0.0620717
"Rhodes Scholar"	0.0618777
tomboy	0.0618583
"house painter"	0.0618226
Londoner	0.0616552
Ghanaian	0.061344
"hard worker"	0.0605469
handicapper	0.0603278
"plantation owner"	0.060293
claimer	0.0601614
weatherman	0.0600287
"department employee"	0.0599025
telemarketer	0.0598562
frontman	0.0597733
Hawaiians	0.0587972
"character actor"	0.0587516
paralegal	0.0585395
"Ramsey Clark"	0.0582947
exec	0.0582569
internist	0.0580325
Phoenician	0.0570165
nobleman	0.0568624
saleswoman	0.056816
"art student"	0.0568039
"white person"	0.0562673
procrastinator	0.0561197
Scot	0.0560202
sorter	0.0559981
alderman	0.0558605
groundskeeper	0.055683
"music teacher"	0.0556779
left-winger	0.0555669
"risk taker"	0.0554201
choirboy	0.0550355
"grad student"	0.0545172
businesswoman	0.0544059
geophysicist	0.0540725
highflier	0.05389
bloomer	0.0538862
"Texas longhorn"	0.053856
Methodist	0.0537849
"Sang Lan"	0.0535432
mailman	0.0532884
autocrat	0.0531699
"general practitioner"	0.0531217
"Navy Seal"	0.0530111
exterminator	0.052981
"staff sergeant"	0.0528737
Bengal	0.0526949
passerby	0.0526411
prof	0.0526253
housemate	0.0524496
"Illinois Republican"	0.0524155
watchman	0.0523861
babysitter	0.0522031
"white knight"	0.0520993
lifeguard	0.051962
triathlete	0.0518644
"Black Panther"	0.0516262
"Noboru Takeshita"	0.0516052
CPA	0.0515872
paraplegic	0.0514254
stewardess	0.0514169
junkie	0.0514118
Hoosier	0.0513881
Atler	0.0512934
"insurance agent"	0.0512576
tribesman	0.0512287
"important person"	0.0511883
"math teacher"	0.0511015
Woodruff	0.0510756
"au pair"	0.0509999
motorcyclist	0.0508778
animator	0.0508509
Klinsmann	0.0506663
anesthesiologist	0.0506176
councilwoman	0.0503566
"young person"	0.0501873
"investment adviser"	0.050025
first-rounder	0.0499045
recluse	0.0498693
Alaskan	0.049725
Cuban-American	0.0495388
speller	0.0495181
schooler	0.049274
"sea captain"	0.0492283
schoolmate	0.0492146
Baerga	0.0490422
"track star"	0.0490143
ingenue	0.0490035
"security consultant"	0.048866
supermodel	0.0488055
miler	0.0487761
"army engineer"	0.048661
"church member"	0.0485957
"Joey Cora"	0.0485277
"New Zealander"	0.0485262
"shop assistant"	0.0482589
kayaker	0.0481757
infantryman	0.0481314
lifer	0.0480494
"management consultant"	0.0480484
alum	0.04792
womanizer	0.0479075
"Kosovar Albanian"	0.0477437
Scotsman	0.0477352
"naval officer"	0.0477203
"guardian angel"	0.0476242
pedophile	0.0476104
newspaperman	0.0474515
"Michael Moore"	0.0474435
"flower child"	0.0474399
Zarkin	0.047416
"registered nurse"	0.0473925
wage-earner	0.0473336
census-takers	0.0473172
farmhand	0.0472393
Scrooge	0.0471816
quadriplegic	0.0471185
Taoist	0.0470964
"ballet dancer"	0.0470273
marksman	0.0469529
radiologist	0.0469515
Seaman	0.0468062
journeyman	0.0467593
exploiter	0.0466815
scoutmaster	0.0465955
repairman	0.0464589
"Howie Long"	0.0464355
"boy wonder"	0.0463763
"police lieutenant"	0.046283
ex-convict	0.0462814
Rhodesia	0.0460913
"enlisted man"	0.0460585
backpacker	0.0460314
"network administrator"	0.0459722
sportswriter	0.0459561
spymaster	0.0458857
eighth-grader	0.0458654
Ecuadorian	0.0457577
"Islamic Welfare Party"	0.0457186
"free spirit"	0.0455151
egomaniac	0.0454757
patrolman	0.0454107
alumnus	0.045407
"John Anderson"	0.045387
dilettante	0.0452305
))
(Atlantans (desc 3891.24) (sims
Muscovite	0.127585
Quebecers	0.114463
Bostonians	0.105531
"New York Democrats"	0.104429
Londoner	0.103382
Honduran	0.101366
Chinese-Americans	0.10082
townsfolk	0.0950709
"San Franciscans"	0.0948917
Ecuadoreans	0.0945647
"New Jerseyans"	0.0941199
"North Carolinian"	0.0928067
Beijingers	0.092188
Iowan	0.0920476
"New York Republicans"	0.0917217
Panamanian	0.0910784
"American Jews"	0.0905805
Georgian	0.0898336
"Sri Lankans"	0.089601
Washingtonian	0.088696
adoptees	0.0874811
Floridian	0.0871241
attendees	0.0862816
"music lover"	0.0860293
Frenchmen	0.0859456
parishioner	0.0859343
moviegoer	0.0831894
homebuyers	0.0823112
"church member"	0.0820557
Jordanian	0.0817446
"Texas Democrats"	0.0815883
Irishmen	0.0814853
conventioneer	0.0813372
reveler	0.0806572
Arizonan	0.0794112
worshiper	0.0790201
Chinese-Indonesians	0.0790139
"New Yorker"	0.0789088
townspeople	0.0788758
Mexican	0.0787562
Haitian	0.0784474
celebs	0.0783816
Alumni	0.0783488
theatergoer	0.0777884
"New Englander"	0.0771796
Parisian	0.0770855
multimillionaires	0.0762228
filmgoers	0.0760186
Cuban-Americans	0.0760051
"South Koreans"	0.0753258
Ohioan	0.0743743
well-wisher	0.0743402
onlooker	0.0734526
Briton	0.0733741
churchgoer	0.0727069
Vermonter	0.072693
"Cuban Americans"	0.0725513
reservist	0.0723443
Californian	0.0722957
Texan	0.072229
Ukrainians	0.0722107
"business executive"	0.0719919
shopper	0.0713088
westerner	0.0712595
Venezuelan	0.0710923
"Southern Democrats"	0.0708293
Cambodian	0.070783
Liberian	0.0705525
Navajos	0.0705248
"Kosovo Serbs"	0.0705054
Guatemalan	0.0703634
Baptists	0.0702789
"union member"	0.0699095
Mozambican	0.0694882
firsts	0.0691708
"stamp collector"	0.0689125
Bosnians	0.0688178
concertgoers	0.0686838
"African Americans"	0.0686741
businesspeople	0.0686539
bikers	0.0685427
Italian-Americans	0.067835
celebrant	0.0676908
"South Carolinian"	0.0676891
Asian-Americans	0.0675957
vacationer	0.0674809
motorcyclists	0.0672752
Minnesotan	0.0670325
congregants	0.0670126
commuter	0.0668927
skydiver	0.0665328
Angelenos	0.0663918
Tibetans	0.0663653
interviewee	0.0663366
businesswomen	0.066307
Chicagoans	0.0662102
hemophiliac	0.0661356
"business traveler"	0.0659988
Kansan	0.0656898
"people of color"	0.0655233
gamers	0.0655049
Virginian	0.0654891
criminologists	0.0652829
kindergartners	0.0652613
Midwesterners	0.0651254
mourner	0.064986
Copt	0.0649413
snowmobilers	0.0648013
Filipino	0.0646995
worshipper	0.0646776
"heavy hitter"	0.0642109
listener	0.0640459
dieters	0.0637172
Koreans	0.0637053
canine	0.0636135
evangelicals	0.0635891
out-of-towners	0.0635829
registrant	0.063482
Peruvian	0.0632762
motorist	0.0629012
Tennessean	0.062803
teens	0.0627561
Colombian	0.0625881
mushers	0.0625017
"Albanian Kosovars"	0.0624494
servicemen	0.0621438
"business leader"	0.0621319
cultist	0.0620268
Athenian	0.0619937
Eritrean	0.0619293
Chilean	0.0619251
"college student"	0.0618186
wretch	0.0615481
old-timer	0.0613486
Creationists	0.0612896
seamen	0.0612091
enactors	0.0611601
"home buyer"	0.061137
marcher	0.0609677
Arab-Americans	0.0609086
Kenyan	0.0606788
"Confederate soldier"	0.0606758
rappers	0.0606128
"market watcher"	0.0603362
Anglos	0.0601707
angler	0.0601116
Malaysian	0.0600319
birder	0.0600084
Hawaiians	0.0598771
countrymen	0.0598519
Klansmen	0.0598367
"political dissident"	0.0597677
homeowner	0.059664
Lebanese	0.0596508
Croats	0.0596501
"job seeker"	0.0596466
cultivar	0.0595501
cabby	0.0595477
Kuwaiti	0.0593571
Singaporean	0.0592427
"Southern Baptists"	0.0592
villager	0.0591543
twentysomethings	0.059062
partygoer	0.0590585
camper	0.0590346
depositor	0.0589974
cardholders	0.0589968
submariner	0.0587161
enlistee	0.0587153
"club member"	0.0587145
detainee	0.0586877
"foster child"	0.0585747
policyholder	0.0585343
Missourian	0.0585032
Gi	0.0585
hypotheses	0.0583703
Taiwanese	0.0583422
"health care provider"	0.0582557
techies	0.0582449
"health professional"	0.0582013
Southerner	0.0578868
schoolchildren	0.05773
Moroccan	0.0575282
Nigerian	0.0574943
Bangladeshi	0.0574194
Jamaican	0.0573853
crewmates	0.0573193
Macedonian	0.0572099
Afrikaner	0.0571835
ISPs	0.0571462
Congolese	0.0569907
highflier	0.0569722
"market participant"	0.0569615
retiree	0.0569607
passersby	0.0569434
Easterner	0.0565575
patron	0.0564794
achiever	0.0563875
surfer	0.0563086
Dominican	0.0563073
))
(Atlantic (desc 50631.3) (sims
"Atlantic Ocean"	0.254437
pacific	0.22091
"Pacific Ocean"	0.198355
ocean	0.174074
"North Atlantic"	0.173071
"Gulf of Mexico"	0.167773
Mediterranean	0.136819
Caribbean	0.132474
"Indian Ocean"	0.128447
sea	0.123925
Gulf	0.104862
"Great Lakes"	0.10347
Adriatic	0.0982956
"Red Sea"	0.0979497
"Florida Straits"	0.09694
"English Channel"	0.0916262
"South China Sea"	0.0896082
"Persian Gulf"	0.0890948
water	0.0890102
"Black Sea"	0.0888691
lake	0.0884333
coast	0.0854158
"Mississippi Valley"	0.0840718
"South Pacific"	0.0840661
river	0.0840583
"Bay of Bengal"	0.0833819
"Mediterranean Sea"	0.0828485
"Caribbean Sea"	0.0824272
"Barents Sea"	0.0822341
"Adriatic Sea"	0.081035
strait	0.0789114
Aegean	0.0765683
Arctic	0.0761456
plain	0.0759363
Northeast	0.0758404
"Baltic Sea"	0.0755457
"Ohio Valley"	0.0751839
"Lake Victoria"	0.0725748
Mid-Atlantic	0.0704845
"Sea of Japan"	0.0702721
Bay	0.0697678
desert	0.0693518
harbor	0.0680732
"New England"	0.0666058
"Lake Erie"	0.066365
"Gulf Coast"	0.0662104
"Middle West"	0.0633654
mountain	0.0630393
Rockies	0.0629812
island	0.0624161
"Caspian Sea"	0.0624013
"Aegean Sea"	0.0621798
"Pacific Northwest"	0.0615036
"Florida Keys"	0.0612678
Florida	0.06115
"North Sea"	0.0610003
southeast	0.0608581
northwest	0.0608177
Midwest	0.0607888
Baltic	0.0605294
valley	0.0601169
Alaska	0.060017
pond	0.0599276
lagoon	0.0578242
Sky	0.0573827
region	0.0570002
Andes	0.0564634
east	0.056187
Europe	0.0559368
Caspian	0.0557208
"Hudson River"	0.0543046
west	0.0542964
jungle	0.0538722
Creek	0.0534712
southwest	0.0534607
south	0.0531923
"Far East"	0.0531
Maine	0.0530069
"North Carolina"	0.0527157
"Puget Sound"	0.0526925
"Central America"	0.0526303
Dakota	0.052606
"Puerto Rico"	0.0524454
Texas	0.0522968
Bahamas	0.0522082
Africa	0.0518512
waters	0.0516074
"North America"	0.0515983
Asia	0.0510521
border	0.0510379
Everglades	0.0509046
storm	0.0507049
Appalachians	0.0505658
Canal	0.0500391
California	0.0498044
basin	0.0493244
north	0.0490744
canyon	0.0489077
coastline	0.0487733
Canada	0.0487403
Mississippi	0.0480128
hill	0.0478049
"Mississippi River"	0.0476939
Hudson	0.0475198
Sinai	0.047506
Virginia	0.0473907
"Nova Scotia"	0.0472974
Danube	0.0472779
gorge	0.0472044
"East Coast"	0.046688
"ocean floor"	0.0466249
"about @@@ miles"	0.0462881
surf	0.0460424
"Rio Grande"	0.0459015
wilderness	0.0458288
zone	0.0456456
ravine	0.0455307
"Sierra Nevada"	0.0452631
"about @@ miles"	0.0450521
Louisiana	0.0449483
swamp	0.0449462
"about @@ kilometers"	0.0448948
"Taiwan Straits"	0.0446091
"Southern California"	0.0445627
shore	0.0440687
Siberia	0.0437276
"state line"	0.0436391
"South Florida"	0.0436178
highland	0.0434417
Missouri	0.0432249
peninsula	0.0431539
seabed	0.0431136
Kansas	0.0429808
boat	0.0428256
countryside	0.0425473
Mexico	0.0420268
earth	0.0417869
"territorial water"	0.0417192
Nile	0.0413703
wind	0.0413518
"South America"	0.0410134
"Southeast Asia"	0.040917
Iowa	0.0407781
stream	0.0406791
Georgia	0.0405225
Alabama	0.0404728
hurricane	0.0403636
Sumatra	0.0402064
reef	0.0400964
))
("Atlantic City" (desc 15525.5) (sims
"Las Vegas"	0.156671
Wildwood	0.125118
Honolulu	0.113614
CANCUN	0.110056
Newark	0.109933
"New Orleans"	0.107998
Orlando	0.106844
Minneapolis	0.105898
Tampa	0.103951
"St. Petersburg"	0.101334
"Ocean City"	0.100333
"Fort Lauderdale"	0.0997559
"San Francisco"	0.098243
"Tel Aviv"	0.0980986
"San Antonio"	0.0976468
Phoenix	0.0974217
Philadelphia	0.0972245
"Miami Beach"	0.0967981
TALLAHASSEE	0.0964421
Chicago	0.0957358
"Los Angeles"	0.095259
"Fort Worth"	0.0951918
"Mexico City"	0.0948334
"Kansas City"	0.0941145
Charleston	0.0927029
"San Juan"	0.0922284
Tucson	0.0919077
Havana	0.0916738
Miami	0.0910825
"New York City"	0.0904772
Biloxi	0.0896399
"Salt Lake City"	0.0895086
"Des Moines"	0.0894531
Albany	0.089362
Columbus	0.0893616
Indianapolis	0.0892907
"San Diego"	0.0890105
Atlanta	0.0889628
Dallas	0.0885429
Raleigh	0.0884553
Paris	0.0880804
Nashville	0.0878735
Vega	0.0875574
Hawaii	0.0871592
"Long Beach"	0.0860863
Detroit	0.085853
Manchester	0.0855537
"Myrtle Beach"	0.0855498
Albuquerque	0.085339
"New Jersey"	0.0852371
"Ho Chi Minh City"	0.0851625
Vienna	0.0850913
Houston	0.0850283
"Key West"	0.0847117
Spokane	0.084633
TRENTON	0.0840622
Boston	0.0838325
Seattle	0.0835494
Denver	0.0832916
Baltimore	0.083149
Wilmington	0.0831169
"Little Rock"	0.0831161
"Buenos Aires"	0.0830038
"San Jose"	0.0829107
"Oklahoma City"	0.0828964
Hamburg	0.0828487
Tacoma	0.0828333
Chamonix	0.082825
"El Paso"	0.0828129
Knoxville	0.0825
Hartford	0.0823687
Istanbul	0.0823149
Geneva	0.0819203
Belfast	0.0818027
JOHANNESBURG	0.0817346
Memphis	0.0813573
Durban	0.0812537
Montreal	0.0812507
Acapulco	0.0811398
"New Haven"	0.0808851
"Baton Rouge"	0.0807353
"Kuala Lumpur"	0.080445
SEOUL	0.0804229
Pittsburgh	0.0804224
Birmingham	0.0802052
CARACAS	0.0800831
Bermuda	0.0799651
Toronto	0.079943
Akron	0.0799297
Camden	0.079912
BUDAPEST	0.0798215
LONDON	0.0792762
"Phnom Penh"	0.0792528
Fresno	0.0791693
Cartagena	0.0790171
MELBOURNE	0.0788025
Milwaukee	0.0787793
Austin	0.0783169
Charlotte	0.078135
Windhoek	0.0781279
"Santa Fe"	0.078048
"Palm Springs"	0.0780178
Brownsville	0.077968
Bangkok	0.077778
Amsterdam	0.0776968
Rochester	0.0773837
Munich	0.0771568
Amman	0.0768953
Pasadena	0.0768457
Vail	0.0765953
"Palm Beach"	0.0765157
Cleveland	0.076509
Prague	0.0764903
Omaha	0.0762849
"West Palm Beach"	0.0762763
Algiers	0.0762288
Greenville	0.0761871
Savannah	0.0759386
"Santo Domingo"	0.0759151
CAIRO	0.0753942
Taipei	0.0752626
Tijuana	0.0752412
Vancouver	0.0750006
Catskills	0.0749791
"Lake Tahoe"	0.0749628
Portland	0.0749229
WARSAW	0.0748426
Nevada	0.0746919
"Sao Paulo"	0.0746398
Santiago	0.0746219
L.A	0.0743126
"Cape Town"	0.0741789
Sacramento	0.0740088
"Daytona Beach"	0.073968
Dublin	0.0735829
Jacksonville	0.0734111
"Rio de Janeiro"	0.0730515
Tokyo	0.0730389
"La Paz"	0.0730286
LISBON	0.0726574
Juneau	0.0726207
Louisville	0.0723847
"San Salvador"	0.0723224
Milan	0.0722581
Buffalo	0.0719756
"Park City"	0.0718594
BUCHAREST	0.0718044
Mississippi	0.0717642
Nassau	0.0717328
Managua	0.0717155
"St. Louis"	0.071707
Copenhagen	0.0715221
Naples	0.0714754
Osaka	0.0714193
Lahore	0.0713566
"Puerto Vallarta"	0.0713534
Winnipeg	0.071187
Springfield	0.0711738
Pristina	0.0711396
Richmond	0.0711237
"Jersey City"	0.0708602
"Monte Carlo"	0.0708112
BOGOTA	0.0707417
Rome	0.0707358
Norfolk	0.0706852
Madrid	0.0706467
California	0.0706219
TEGUCIGALPA	0.0705437
anchorage	0.0704731
Cincinnati	0.0703356
Tripoli	0.0703329
Zurich	0.0702287
Venice	0.06991
Providence	0.069892
Auckland	0.0695168
"New Delhi"	0.0694912
Quito	0.0693977
Bahamas	0.0692583
"Rhode Island"	0.069147
Manhattan	0.0691213
Laughlin	0.0690521
ATHENS	0.0690068
Alexandria	0.0687044
Berlin	0.0686358
Bethlehem	0.0684872
Laredo	0.068262
Beirut	0.0681978
Oakland	0.0680837
Davos	0.0679865
Peshawar	0.0679854
Khartoum	0.0678381
Lausanne	0.0678355
Louisiana	0.0677373
Jakarta	0.0677181
Amarillo	0.0677169
Brisbane	0.0675466
"Egyptian capital"	0.0674794
Calcutta	0.0674624
Florida	0.067307
Augusta	0.0671847
))
("Atlantic Coast" (desc 1896.98) (sims
"Big @@"	0.0694242
"Mississippi River"	0.0640985
"Pacific Coast"	0.0612298
"Mississippi Valley"	0.0510673
"Gulf Coast"	0.0457544
seaboard	0.0450942
"Ohio Valley"	0.0432467
Mid-Atlantic	0.0428823
Pacific-@@	0.0401758
pugilist	0.0400564
))
("Atlantic Coast Conference" (desc 3495.99) (sims
"Southeastern Conference"	0.338805
"Big East"	0.297413
ACC	0.27229
"Conference USA"	0.25775
Pac-@@	0.237004
"Big @@"	0.23648
"Western Athletic Conference"	0.235984
"AFC Central"	0.21219
"Big Sky"	0.204623
Pacific-@@	0.204115
"Big West"	0.203997
WAC	0.201728
"Big Sky Conference"	0.19471
"NFC West"	0.188024
"AFC West"	0.175419
"AFC East"	0.172442
CWS	0.160607
"NFC East"	0.160388
C-USA	0.147704
"Division I-AA"	0.147387
WCC	0.138512
"Federation Cup"	0.134582
SEC	0.133741
"Southwest Conference"	0.130035
"NFC Central"	0.130023
"Pan Ams"	0.128878
"Central Division"	0.127407
"National League West"	0.126091
nonconference	0.122254
"Division @"	0.121667
"Pacific Division"	0.121609
"Fed Cup"	0.120388
"Western Conference"	0.119864
"Libertadores Cup"	0.119103
"AL Central"	0.118102
Bundesliga	0.115589
EuroLeague	0.115517
"National League Central"	0.115051
A.L.	0.114863
"Ivy League"	0.114821
AFL	0.11482
"Eastern Conference"	0.113108
"NL West"	0.112915
"West Regional"	0.111622
NFC	0.111529
"AL West"	0.110475
"World Championship"	0.11031
"Eastern Division"	0.109967
"European Cup"	0.109824
"League Cup"	0.108242
"U.S. Amateur"	0.108127
ml	0.107719
"Hong Kong Open"	0.107084
"Midwest Regional"	0.106552
"National Collegiate Athletic Association"	0.106498
"Little League World Series"	0.106125
"Atlantic Division"	0.105663
"NL Central"	0.103569
AFC	0.102663
"American League West"	0.102357
"National Hockey League"	0.101858
snooker	0.101731
"Italian League"	0.101555
"Cactus League"	0.100693
LPGA	0.0990038
"Japan Open"	0.0969249
"Davis Cup World Group"	0.0968786
"National League East"	0.0965781
"World League"	0.0956957
"MLS Cup"	0.0954363
"water polo"	0.0954306
"Gold Cup"	0.0935336
"International League"	0.0933909
PBA	0.0922406
"Arena Football League"	0.0919954
"match play"	0.0918665
NL	0.0917371
"Uber Cup"	0.0912374
"Fighting Irish"	0.0907822
"National League"	0.090638
"ice hockey"	0.0906378
"South Regional"	0.0906097
"SEC East"	0.08991
"East Regional"	0.08929
"Italian Cup"	0.0884724
"sugar bowl"	0.0876242
"American League"	0.0872272
"American League East"	0.0871933
"Copa America"	0.0867463
"Continental Basketball Association"	0.0866908
"Northeast Division"	0.0866835
"NL East"	0.0862558
"Funny Car"	0.0853484
"European Champions Cup"	0.0847383
"Davis Cup"	0.0845272
NCAA	0.084403
CAA	0.0840714
"Hopman Cup"	0.083907
ATP	0.0833613
"regulation time"	0.0832739
"Atlanta Olympic"	0.0829209
"Canadian Open"	0.082634
"National Football League"	0.0820746
"Solheim Cup"	0.0818427
"World Group"	0.0816393
"AL East"	0.0814648
"Pan Pacific"	0.0809211
interleague	0.0807709
postseason	0.0806822
"NCAA Tournament"	0.0803863
"Sudirman Cup"	0.0803804
"English Premier League"	0.0797867
"Premier League"	0.0797157
"Senior PGA Tour"	0.0796463
"first nine"	0.0783769
"Busch Series"	0.0775811
CONCACAF	0.0774489
"Orange Bowl"	0.0770267
"F.A Cup"	0.0767736
NHL	0.0766274
"TOMS RIVER"	0.0765867
"Los Angeles Galaxy"	0.0763292
"National Basketball Association"	0.0761212
WNBA	0.0758871
"Kremlin Cup"	0.0758444
"round robin"	0.0755762
"LPGA Tour"	0.0753026
ABL	0.0752043
"Group @"	0.0746248
nit	0.0745935
"American Basketball League"	0.0743939
"Top Fuel"	0.0738106
"US Open"	0.0735061
"Grand Slam Cup"	0.0729743
"Peach Bowl"	0.0726984
"Dunhill Cup"	0.0722323
"exhibition season"	0.0711491
AHL	0.0710299
pentathlon	0.0709458
"CHARLOTTE STING"	0.0708686
terrapin	0.0705837
al	0.0702244
"Hamlet Cup"	0.0697879
"Asian Cup"	0.0697579
"Kickoff Classic"	0.0695814
"first cup"	0.0693996
"Alamo Bowl"	0.0693701
Serie	0.069193
"U.S. Senior Open"	0.0690907
hardcourt	0.0688493
tourney	0.0686083
"Louis Vuitton Cup"	0.0685488
"European Championship"	0.0685109
"South American"	0.0682351
"Thomas Cup"	0.0679969
"European Community"	0.0679716
Springbok	0.0679268
badminton	0.0677282
"blue devil"	0.0677161
"Euro @@@@"	0.0674605
"Holiday Bowl"	0.0674597
"FA Cup"	0.0674317
"Winston Cup"	0.0673841
"African Cup"	0.0669304
Asiad	0.0669264
"Canadian Football League"	0.0667446
"table tennis"	0.0663792
gamecock	0.0663019
"Stockholm Open"	0.066187
"Champions Cup"	0.0661556
NHRA	0.0655506
"Champions League"	0.0653785
"Fiesta Bowl"	0.0652653
"Boston Marathon"	0.0652146
"UEFA Cup"	0.065084
"Cup Winners Cup"	0.0649806
"Horned Frogs"	0.064876
"PGA Tour"	0.064826
Maurier	0.0647494
"College World Series"	0.0646932
"Swiss Open"	0.0644116
top-@@	0.0642272
"United States Open"	0.0640681
"Confederations Cup"	0.0640664
"major league"	0.0640096
IRL	0.0638469
A-@@	0.0637804
PGA	0.0633684
Ryder	0.0632285
"Penn State"	0.0627966
under-@@	0.062714
"American Football League"	0.0626627
"African Nations Cup"	0.0624135
pre-Olympic	0.0624059
"Ryder Cup"	0.062403
"one million US dollars"	0.0623539
"field hockey"	0.0619906
Lipton	0.0619719
Rugby	0.0617344
"NASCAR Winston Cup"	0.0616227
))
("Atlantic Division" (desc 2179) (sims
"National League West"	0.318802
"Pacific Division"	0.300061
"AL East"	0.299353
"Central Division"	0.298869
"American League West"	0.296287
"AFC West"	0.284978
"NL East"	0.283601
"National League East"	0.270136
"NL Central"	0.268042
"Eastern Division"	0.267337
"AL West"	0.26467
"AFC Central"	0.257078
"NL West"	0.256053
"AFC East"	0.254192
"National League Central"	0.253068
"AL Central"	0.240946
"NFC Central"	0.238932
"NFC West"	0.234042
"American League East"	0.220777
"Eastern Conference"	0.214342
"NFC East"	0.199817
Pacific-@@	0.198605
"Western Conference"	0.196656
"Northeast Division"	0.193979
"Big Sky Conference"	0.174015
"SEC East"	0.160628
"Italian League"	0.141702
ACC	0.133581
"Premier League"	0.13045
Pac-@@	0.120769
"Big Sky"	0.115907
CWS	0.114472
Bundesliga	0.113435
"Little League World Series"	0.11148
A.L.	0.110157
"Big West"	0.1093
"Western Open"	0.106496
"Big @@"	0.105757
"Atlantic Coast Conference"	0.105663
"Southwest Conference"	0.10441
WBO	0.101375
"MLS Cup"	0.100836
cruiserweight	0.100398
"Western Athletic Conference"	0.0986724
NFC	0.0968
"Pan Ams"	0.0966527
"Southeastern Conference"	0.0954122
"U.S. Senior Open"	0.0949472
AFC	0.0949251
WCC	0.0947057
"Big East"	0.0928416
"Conference USA"	0.0919843
"Japan Open"	0.0918752
"Grand National"	0.091552
EuroLeague	0.0905921
"United States Open"	0.0903509
"World Championship"	0.0899387
"Ivy League"	0.0887527
"Top Fuel"	0.0879235
"European Champions Cup"	0.0870773
"junior lightweight"	0.0867554
"West Regional"	0.0853891
"National League"	0.084648
"Copa America"	0.0844806
"World Boxing Council"	0.0832819
"South Regional"	0.0828778
"U.S. Amateur"	0.082735
constructor	0.0821595
"World Boxing Association"	0.0806304
"first cup"	0.0803041
"Group @"	0.0800476
Super-G	0.0800346
"Nations Cup"	0.0793492
"Funny Car"	0.0792487
"Hong Kong Open"	0.0790322
"Juvenile Fillies"	0.0787339
"junior welterweight"	0.0786284
"Solheim Cup"	0.0778745
flyweight	0.0767032
"junior middleweight"	0.0766278
decathlon	0.0762234
"Division I-AA"	0.0758078
"Donn Handicap"	0.0756764
"International Boxing Federation"	0.0749456
bantamweight	0.0730515
"American League"	0.0726136
ml	0.0725445
NL	0.0725172
"Cup Winners Cup"	0.0704521
"Canadian Open"	0.0702918
Heptathlon	0.0700982
"spelling bee"	0.0700422
"European Cup"	0.0690162
"International League"	0.0686526
"Home Run Derby"	0.067596
"light heavyweight"	0.0669302
"Republican Senate"	0.0662311
"F.A Cup"	0.0660958
Futurity	0.0653762
"NASCAR Winston Cup"	0.0652706
"hammer throw"	0.0646702
"Hopman Cup"	0.064624
"Busch Grand National"	0.064602
"Division @"	0.0645471
"Louisiana Derby"	0.0644173
WAC	0.064292
"Maurier Open"	0.0638998
"Uber Cup"	0.0636817
"Dunhill Cup"	0.0635673
"three-day event"	0.0635653
"London Marathon"	0.0634736
"College World Series"	0.0634359
Lipton	0.0632079
"League Cup"	0.0631328
"Tour de France"	0.0624804
"FA Cup"	0.0622471
pentathlon	0.0620245
"Italian Cup"	0.0619677
"Round @"	0.0617253
"Group B."	0.0613681
"ski jumping"	0.0611603
backstroke	0.0609772
"Indy Racing League"	0.0608465
"American Football League"	0.0604418
CAA	0.0602678
"Group A."	0.0600521
"Midwest Regional"	0.059484
"UEFA Cup"	0.0594015
"second tour"	0.0591119
"Florida Derby"	0.058939
"Wood Memorial"	0.0587077
WBA	0.0581471
"Winston Cup"	0.057535
slalom	0.0574601
"horizontal bar"	0.0573194
"Federation Cup"	0.0571421
"high jump"	0.0569696
"Gator Bowl"	0.0568465
"Fed Cup"	0.0567784
"Pan Pacific"	0.0564551
"Asian Cup"	0.0561826
"Busch Series"	0.0555067
"National Invitation Tournament"	0.0553917
"US Open"	0.0550773
Giro	0.0547899
"Santa Anita Derby"	0.054706
two-point	0.0543125
"South American"	0.0540945
WBC	0.0538287
Iditarod	0.0538191
"Oak Tree"	0.0537725
Premiership	0.0537693
"Legg Mason"	0.0534432
"African Cup"	0.0534358
hardcourt	0.0527753
"Sudirman Cup"	0.0522472
"Confederations Cup"	0.0521221
"pommel horse"	0.0520199
"Thomas Cup"	0.0520021
best-of-@	0.0519835
"World League"	0.0519414
"Nissan Open"	0.0516884
nine-point	0.051531
breaststroke	0.051448
"Kickoff Classic"	0.0512991
featherweight	0.0512703
BCS	0.0512483
"Fiesta Bowl"	0.0511216
"National Basketball Association"	0.050953
"parallel bars"	0.0507724
"Orange Bowl"	0.050667
"National Collegiate Athletic Association"	0.0506577
"shot put"	0.0504611
"Paris Open"	0.0503062
"Santa Anita Handicap"	0.0502098
"Arkansas Derby"	0.0501419
"Jim Dandy"	0.0500045
"Italian Open"	0.0499062
"Daytona @@@"	0.0498437
"Chinese Basketball League"	0.0498354
snooker	0.0494914
six-point	0.0494889
"East Regional"	0.0493124
PBA	0.049206
AFL	0.0489538
"first nine"	0.0487861
seven-point	0.0487456
Doral	0.0487313
one-point	0.048714
WTA	0.0486976
"Continental Basketball Association"	0.0485651
"Champions Cup"	0.0485379
Ibo	0.0484494
"Davis Cup World Group"	0.0481287
"Cup Juvenile"	0.0480899
three-meter	0.0479755
Congeniality	0.0479582
"sugar bowl"	0.0479433
"Bowl Championship Series"	0.0478534
skeet	0.047802
))
("Atlantic Monthly" (desc 2925.38) (sims
"New York Times Magazine"	0.249421
"vanity fair"	0.2437
"International Herald Tribune"	0.233344
"New Republic"	0.229016
"Village Voice"	0.22637
Esquire	0.226364
Newsweek	0.222184
"World Report"	0.204582
"Rolling Stone"	0.202538
"National Journal"	0.201381
"New York Daily News"	0.197719
"New York Observer"	0.182867
Redbook	0.18283
"Good Housekeeping"	0.176943
"Wall Street Journal"	0.176342
Haaretz	0.17232
"Los Angeles Times"	0.168026
"Washington Times"	0.167538
"Sports Illustrated"	0.165075
"New York Post"	0.164098
"Washington Post"	0.163325
"Business Week"	0.161879
"USA TODAY"	0.160892
GQ	0.159261
"Consumer Reports"	0.152553
Lancet	0.148238
"Atlanta Constitution"	0.146559
"San Antonio Express-News"	0.146536
"Miami Herald"	0.142554
"Dallas Morning News"	0.142438
"Advertising Age"	0.141267
"Weekly Standard"	0.140376
"U.S. News"	0.137884
"New England Journal"	0.137738
"Palm Beach Post"	0.137136
"Chicago Tribune"	0.136176
Newsday	0.136077
"American Journal"	0.136004
"Austin American-Statesman"	0.135317
"Der Spiegel"	0.133863
"San Jose Mercury News"	0.131841
"Boston Globe"	0.131769
"Denver Post"	0.129573
"Financial Times"	0.127175
"Daily Telegraph"	0.123494
"TV guide"	0.122212
"Arizona Republic"	0.121734
vogue	0.121294
"New York Times"	0.120643
"New York Review"	0.120246
Star-Ledger	0.118896
"Philadelphia Inquirer"	0.118364
"Sydney Morning Herald"	0.117318
Collier	0.115885
JAMA	0.113129
"Des Moines Register"	0.112553
"Atlanta Journal-Constitution"	0.112493
"Seattle Times"	0.110452
"Martha Stewart Living"	0.110089
"New Yorker"	0.109959
"Atlanta Journal"	0.109146
"Daily News"	0.109135
"Foreign Affairs"	0.108676
Maariv	0.108666
"National Geographic"	0.107059
"Boston Herald"	0.105911
TheStreet.com	0.105856
"Teen People"	0.105713
"Chicago Sun-Times"	0.10558
"Houston Chronicle"	0.105378
"Sporting News"	0.105361
"Kansas City Star"	0.105259
Harper	0.104869
playboy	0.104702
Elle	0.103116
"San Francisco Examiner"	0.103008
"St. Louis Post-Dispatch"	0.102904
"Koha Ditore"	0.101968
Times	0.100402
"Daily Mail"	0.0986108
"San Francisco Chronicle"	0.09732
"Fort Worth Star-Telegram"	0.0966797
"Entertainment Weekly"	0.0964317
"Wear Daily"	0.0960908
"Detroit News"	0.0944421
"Saturday Evening Post"	0.0934585
"Le Figaro"	0.0920691
"New York Herald Tribune"	0.0920286
Liddy	0.0897732
"Yediot Ahronot"	0.0881555
Star-Telegram	0.0875386
"Cox Newspapers"	0.0869351
Mademoiselle	0.0868805
"Hartford Courant"	0.0866639
maxim	0.0836485
"Detroit Free Press"	0.0831437
gazette	0.0822295
cosmopolitan	0.082143
newsletter	0.0820236
"New Straits Times"	0.0817727
Granma	0.081391
tabloid	0.0803474
periodical	0.0803203
"National Enquirer"	0.0795226
"Gallup Poll"	0.0788383
telegraph	0.0787519
Oregonian	0.0773871
"Dayton Daily News"	0.0763408
"National Public Radio"	0.0739199
"ABC News"	0.0730474
"Hearst Newspapers"	0.0726483
"Jerusalem Post"	0.0721874
"United Press International"	0.0716212
salon	0.0713266
"Orange County Register"	0.0670532
neurology	0.0667159
"Fast Company"	0.0664191
"Le Monde"	0.0654089
Macworld	0.0650187
Enquirer	0.0647701
bazaar	0.064678
"International Business Daily"	0.0642091
Tennessean	0.0630578
bulletin	0.0625936
"Evening Standard"	0.0624083
Itogi	0.0622674
"New York Times Book Review"	0.0596759
"Guangming Daily"	0.0595104
"roll call"	0.0589961
almanac	0.0589147
examiner	0.0584798
"Cincinnati Enquirer"	0.0574732
"CBS News"	0.0572958
Salon.com	0.0571749
"Guinness Book"	0.0570643
Kukoc	0.0560374
gourmet	0.0559924
"red herring"	0.0557487
"Straits Times"	0.0543198
Reforma	0.0536011
"Next Generation"	0.0530394
Izvestia	0.0524112
"NBC News"	0.0520451
"trade publication"	0.0516408
tribune	0.0516145
"Hollywood Reporter"	0.0515526
"El Pais"	0.0514999
Barron	0.0513228
"tabloid newspaper"	0.0513082
Pediatrics	0.051303
annals	0.0508723
seventeen	0.0502994
"El Mundo"	0.0501391
Gaines	0.0496553
OED	0.049639
Mirabella	0.048916
newsweekly	0.0489069
longhand	0.0489038
"Radio Liberty"	0.0485144
yearbook	0.0480104
"Wen Wei Po"	0.0477301
al-Hayat	0.0476603
"Seattle Post-Intelligencer"	0.046855
frontpage	0.0467241
"smart money"	0.0465694
"British Broadcasting Corp."	0.0463953
ebony	0.0456112
Smithsonian	0.0454918
"Daytona Beach"	0.0454916
Vibe	0.0449207
McCall	0.0447634
"wire service"	0.0447543
"Free Press"	0.044714
"South China Morning Post"	0.0442025
Kommersant	0.0439054
"Conde Nast"	0.0432169
op-ed	0.0428709
hustler	0.0426625
Spiegel	0.0418977
"print media"	0.0418149
broadsheet	0.0416165
espanol	0.0415667
"Knight Ridder"	0.0411945
Anthology	0.0410678
Ledger	0.0409304
"Moscow Times"	0.0408542
"Cox News Service"	0.040261
))
("Atlantic Ocean" (desc 17114) (sims
Atlantic	0.254437
"Pacific Ocean"	0.205089
ocean	0.164266
"Gulf of Mexico"	0.153337
pacific	0.149681
"North Atlantic"	0.145824
"Florida Straits"	0.133969
sea	0.123951
"Indian Ocean"	0.120825
Mediterranean	0.109309
"Caribbean Sea"	0.097673
"inner tube"	0.0920201
Gulf	0.0894406
"Sea of Japan"	0.0881805
"Florida Everglades"	0.088043
"Mediterranean Sea"	0.0854335
"English Channel"	0.0820715
Caribbean	0.0820494
"rough water"	0.078425
ravine	0.0779971
"ocean floor"	0.0779165
"Adriatic Sea"	0.0778885
Seine	0.0767215
lake	0.0749457
Everglades	0.0740437
strait	0.0737604
"Jordan River"	0.0730642
"Barents Sea"	0.0722993
"Aegean Sea"	0.0710951
"Red Sea"	0.0705756
lagoon	0.0702262
"Persian Gulf"	0.0695468
"Ohio Valley"	0.0685761
"South China Sea"	0.0685343
"Bay of Bengal"	0.0684715
"Long Island Sound"	0.0682202
gorge	0.0681473
"San Francisco Bay"	0.0677603
river	0.0675888
coast	0.0666421
"Potomac River"	0.0659616
Aegean	0.0656155
"Mojave Desert"	0.0642112
"Delaware River"	0.0641502
"Ohio River"	0.0641372
"Florida Keys"	0.0638129
"Hudson River"	0.0638075
"Arctic Ocean"	0.0636664
Bay	0.0628449
Creek	0.0623407
"Black Sea"	0.0620706
"Lake Erie"	0.0605561
"about @ miles"	0.060117
desert	0.0600997
swamp	0.0587924
Canal	0.0583604
harbor	0.058264
"North Sea"	0.0579505
"Nile River"	0.0578969
Adriatic	0.0578658
"Rio Grande"	0.0572488
pond	0.0571356
shipwreck	0.0567865
"Southern Ocean"	0.0566679
waters	0.0565262
"Great Lakes"	0.0564009
"Puget Sound"	0.0562287
"Gulf Coast"	0.0562196
"East River"	0.0557658
"East China Sea"	0.0553195
Siberia	0.0550333
"Nova Scotia"	0.0549359
Andes	0.0539868
"Mississippi River"	0.0530587
"Chesapeake Bay"	0.0527744
Rhine	0.0519664
"New York Harbor"	0.0515829
"Missouri River"	0.0514837
"Lake Michigan"	0.0513081
"Middle West"	0.0508033
"Yellow Sea"	0.0503924
Himalayas	0.0503033
"mountain range"	0.0502972
"Lake Victoria"	0.0502043
"Caspian Sea"	0.050204
"Mississippi Valley"	0.0498941
cornfield	0.0496115
valley	0.0495717
ditch	0.0494496
jungle	0.0490526
"Swissair Flight @@@"	0.0490257
"South Florida"	0.0485439
Appalachians	0.0479718
Nile	0.0476158
surf	0.0475184
"Rocky Mountains"	0.0470359
coastline	0.0469767
"TWA Flight @@@"	0.0469532
seabed	0.0468343
"Lake Ontario"	0.0465978
"South Pacific"	0.0461127
Dakota	0.0459669
Caspian	0.0457124
basin	0.0454077
Alaska	0.0451174
"life raft"	0.0450305
"Colorado River"	0.0450166
gully	0.0446439
"about @@ kilometers"	0.0445341
"Baltic Sea"	0.0444955
reef	0.0438334
"tractor trailer"	0.0437624
"Far East"	0.0437388
"Dead Sea"	0.043681
Euphrates	0.0436701
"seven miles"	0.0435207
"Central America"	0.0428809
Danube	0.0423629
Rockies	0.0421352
Baltic	0.0420687
"four miles"	0.0420034
abyss	0.0417956
wreckage	0.0417929
canyon	0.0417909
"swimming pool"	0.0417724
"Bohai Bay"	0.0416075
ridge	0.0409279
"territorial water"	0.0407217
mountainside	0.0407082
Bahamas	0.0403191
"six miles"	0.0402537
))
("Atlantic Richfield" (desc 1673.54) (sims
"Atlantic Richfield Co."	0.31294
ARCO	0.29857
Conoco	0.245761
Amoco	0.242885
"Mobil Corp."	0.240826
Mobil	0.228663
"Royal Dutch/Shell"	0.214884
Petrofina	0.203476
"Union Carbide"	0.197276
"Bankers Trust Corp."	0.196912
"U.S. Trust"	0.195878
Texaco	0.194125
Chevron	0.18773
"Fred Meyer"	0.179166
Exxon	0.175718
"Exxon Mobil"	0.172989
UNOCAL	0.167511
"Bay Networks"	0.167448
"Northeast Utilities"	0.161523
"Times Mirror Co."	0.161344
Comsat	0.160426
YPF	0.154568
"MCI Communications Corp."	0.154215
Agip	0.150109
"BP Amoco"	0.149724
"Digital Equipment"	0.149585
COLTEC	0.149514
Sidanko	0.145964
Lukoil	0.145505
ALZA	0.144765
"ELF AQUITAINE"	0.143971
"Learning Co."	0.143524
"Chrysler Corp."	0.141434
"MediaOne Group"	0.141122
"Tele-Communications Inc."	0.140869
"Ameritech Corp."	0.139055
"Y&AMP;R"	0.136924
Ameritech	0.13634
SkyTel	0.135995
"Digital Equipment Corp."	0.133369
"Nippon Credit"	0.133233
Pairgain	0.132707
Asda	0.132467
"Rolls-Royce Motor Cars"	0.131251
Paribas	0.130308
"Dayton Hudson"	0.129851
BankAmerica	0.128452
TCI	0.128051
Ciena	0.127886
"Learning Company"	0.127258
"Sprint Corp."	0.12696
"Bankers Trust"	0.126534
"General Electric Co."	0.125195
Elf-Aquitaine	0.124128
ENTERGY	0.123863
Warner-Lambert	0.123672
Fingerhut	0.122636
Bestfoods	0.121954
"BankAmerica Corp."	0.121821
"Airtouch Communications"	0.121799
"Frontier Corp."	0.121446
"Time Warner Inc."	0.120656
Totalfina	0.11965
"Niagara Mohawk"	0.119625
"Times Mirror"	0.119581
"RJR Nabisco"	0.119539
Asarco	0.119419
XYLAN	0.119234
Statoil	0.118975
"United Technologies"	0.118451
GTE	0.118444
"McDonnell Douglas"	0.117656
"True North"	0.117291
Avondale	0.117059
"Orange PLC"	0.116192
Broderbund	0.114907
PolyGram	0.113584
Broadcast.com	0.11356
"GTE Corp."	0.113238
VoiceStream	0.111874
SmithKline	0.111426
"CBS Corp."	0.111416
Eni	0.11137
"Netscape Communications"	0.110307
"Thermo Electron"	0.110232
Infoseek	0.109506
BofA	0.108648
Mannesmann	0.108565
"Wells Fargo"	0.107583
Airtouch	0.107334
Scania	0.107108
"Shell Oil"	0.106995
"Sara Lee"	0.105896
"U S West"	0.105602
NatWest	0.105601
VENATOR	0.105275
Mediaone	0.105191
MCI	0.105082
HBOC	0.104849
Seagram	0.104378
PRIMESTAR	0.104134
"Chevron Corp."	0.104003
Sibneft	0.103954
BP	0.103913
"Texaco Inc."	0.103786
"Ford Motor Company"	0.103564
NORTHROP	0.103384
"Lycos Inc."	0.103301
SDL	0.103004
Tropicana	0.102879
Pepsico	0.102741
Weyerhaeuser	0.102606
Nabisco	0.102605
"BankBoston Corp."	0.102392
"US West"	0.102182
RJR	0.101592
"Prudential Insurance Co."	0.101413
Monsanto	0.100792
"Telecom Italia"	0.100601
"Times Co."	0.100459
"Lotus Development Corp."	0.100126
"Newport News"	0.0997624
Elf	0.0995145
ExciteAtHome	0.0994259
"Thomson Multimedia"	0.0991192
"Total Fina"	0.0991068
Humana	0.0989358
HomeGrocer.com	0.0985767
Omnipoint	0.0981081
Dupont	0.0980501
Chiron	0.0975147
"America West Airlines"	0.0972524
PaineWebber	0.0971812
Emulex	0.096894
"Bausch &AMP; Lomb"	0.096708
WPP	0.0964641
Telefonica	0.0964124
"US Airways"	0.0960633
"HBO &AMP; Co."	0.0958393
Orangina	0.0952532
"Berkshire Hathaway"	0.0951783
Netcom	0.0951416
"Hyundai Group"	0.0949887
"Waste Management"	0.0949418
Snapple	0.0945231
Yukos	0.0938675
Genzyme	0.093463
"KCP&AMP;L"	0.0934262
BankBoston	0.0932791
IMS	0.0930823
"Dresdner Bank"	0.0925951
"National Grid"	0.0924671
VICKERS	0.0923464
REPSOL	0.0923178
Daimler-Benz	0.0922125
"Exxon Corp."	0.0918213
PETROBRAS	0.0917512
PLDT	0.0917397
Norwest	0.0915729
"Rite Aid"	0.0914152
Conrail	0.0912437
"Enron Corp."	0.0912172
Vivendi	0.09104
Alcoa	0.0908172
Chris-Craft	0.090377
"Time Warner"	0.0897739
GeoCities	0.0897143
Viacom	0.0894982
CompUSA	0.0894236
Interpublic	0.0893849
Citicorp	0.0893667
"Canal Plus"	0.0893431
"Donaldson, Lufkin &AMP; Jenrette"	0.0892207
Terra	0.0890882
GANNETT	0.0890803
"U S West Inc."	0.0890691
"Mattel Inc."	0.0890183
Viag	0.0889923
Honeywell	0.0889487
"P&AMP;G"	0.0887436
NTL	0.0885412
GEC	0.0883983
Enron	0.0880729
"General Electric"	0.0880388
AMR	0.0877835
PDVSA	0.0874953
"Pepsico Inc."	0.0874515
"Monsanto Co."	0.087115
"British Aerospace"	0.0868706
"Adobe Systems"	0.0868369
"Bristol-Myers Squibb"	0.0868139
"Netscape Communications Corp."	0.0865438
Omnicom	0.0864626
"Johnson &AMP; Johnson"	0.0862232
VEBA	0.0860885
Agilent	0.0855489
Autodesk	0.0853322
NiSource	0.0849668
Merck	0.0849033
"Air Canada"	0.0848978
))
("Atlantic Richfield Co." (desc 1937.68) (sims
"Mobil Corp."	0.359219
"Atlantic Richfield"	0.31294
"Texaco Inc."	0.269295
"Bankers Trust Corp."	0.254338
"Chevron Corp."	0.246787
"Times Mirror Co."	0.212509
"MediaOne Group"	0.204208
"Rolls-Royce Motor Cars"	0.191816
"Orange PLC"	0.180276
Petrofina	0.175192
"Ameritech Corp."	0.174082
ARCO	0.174062
"Tele-Communications Inc."	0.172558
Amoco	0.17253
PolyGram	0.166178
Orangina	0.166123
"U.S. Trust"	0.160649
"Digital Equipment Corp."	0.159442
"Lotus Development Corp."	0.158744
"Sprint Corp."	0.157971
"Digital Equipment"	0.149655
"Bankers Trust"	0.142319
"Chrysler Corp."	0.142193
"Airtouch Communications"	0.141053
"GTE Corp."	0.140538
"Fred Meyer"	0.140054
TCI	0.138835
Mobil	0.138724
"Frontier Corp."	0.134705
"Bay Networks"	0.133489
"MCI Communications Corp."	0.130442
Snapple	0.129951
"Learning Company"	0.129104
Paribas	0.127617
"Netscape Communications"	0.126671
"Nippon Credit"	0.126403
"CBS Corp."	0.125088
VoiceStream	0.124738
"Time Warner Inc."	0.123493
"BankBoston Corp."	0.12016
"Lycos Inc."	0.118447
"RJR Nabisco"	0.118099
Mediaone	0.117865
"Exxon Corp."	0.117726
Lukoil	0.117182
"McDonnell Douglas"	0.116906
Broadcast.com	0.116867
Avondale	0.116853
GeoCities	0.116053
"Royal Dutch/Shell"	0.115095
"Halliburton Co."	0.114442
"Hambrecht &AMP; Quist"	0.113397
YPF	0.112602
Bestfoods	0.111846
Ameritech	0.109568
"U S West"	0.108724
"Northeast Utilities"	0.108683
Warner-Lambert	0.108682
"Nippon Credit Bank"	0.108357
PRIMESTAR	0.108095
"US Airways"	0.107979
"Blue Cross"	0.107637
MCI	0.107293
Comsat	0.107131
BankAmerica	0.106962
"Warner-Lambert Co."	0.106714
"Netscape Communications Corp."	0.106586
"U S West Inc."	0.105626
Broderbund	0.105036
"Times Mirror"	0.10475
Texaco	0.104651
"Reno Air"	0.104333
Netcom	0.102589
UNOCAL	0.100592
"BankAmerica Corp."	0.10016
"BP Amoco"	0.0997572
"Learning Co."	0.0986224
"controlling interest"	0.0985045
Nabisco	0.0982952
S-@@@	0.0982332
"Thomson Multimedia"	0.0976717
Mannesmann	0.0966396
"America West Airlines"	0.095821
"Telecom Italia"	0.0955464
Fingerhut	0.0955165
ITT	0.0952195
PETROBRAS	0.0950479
"equity interest"	0.0945881
Airtouch	0.0945451
"minority stake"	0.0914556
"American Home Products Corp."	0.0903133
Conrail	0.0895376
"Monsanto Co."	0.0892062
NatWest	0.0889844
BankBoston	0.0889575
"Union Carbide"	0.0883961
Ciena	0.088126
Chrysler	0.0867833
PaineWebber	0.0863877
Scania	0.0863116
GTE	0.0857644
"Cadbury Schweppes"	0.085736
Kia	0.0853995
"Wells Fargo"	0.0849668
"Time Warner"	0.0847369
BofA	0.0847061
"Robertson Stephens"	0.0840354
"America West"	0.0835412
Exxon	0.0828074
"non-performing loans"	0.0827417
ALZA	0.0818901
"Bank of Japan Ltd."	0.080856
Rolls-Royce	0.0801552
"ELF AQUITAINE"	0.0799265
prudential	0.0796756
SkyTel	0.0795993
Citicorp	0.0787728
"Salomon Brothers"	0.0785717
"San Francisco Chronicle"	0.0784813
"Lockheed Martin Corp."	0.0782379
"Prudential Insurance Co."	0.0779973
"SmithKline Beecham"	0.0775779
Asarco	0.0772553
Seagram	0.07688
"Niagara Mohawk"	0.0763687
"HBO &AMP; Co."	0.0760625
Elf-Aquitaine	0.0760234
"Newport News"	0.0746385
"Columbia Pictures"	0.0740322
MCA	0.0739255
Pairgain	0.0731028
CompuServe	0.0727093
Daewoo	0.07239
Infoseek	0.0723889
"equity stake"	0.0723866
"Simon Wiesenthal Center"	0.0717689
"Canadian Airlines"	0.0716032
"Koch Industries"	0.071466
Yukos	0.0713973
"Mannesmann AG"	0.070996
hypermarket	0.0709013
AMP	0.0702769
ExciteAtHome	0.0699605
"Siemens AG"	0.0692008
Eurotunnel	0.0691661
"Wireless HKT"	0.0690638
Chevron	0.0685449
"American Todd Martin"	0.0679363
Qwest	0.0677281
Monsanto	0.0676949
Totalfina	0.0676377
Tropicana	0.0675045
"Seagram Co."	0.067226
Conoco	0.0670723
"Bertelsmann AG"	0.0670529
"Y&AMP;R"	0.0669063
"Sydney Organizing Committee"	0.0667961
"UBS AG"	0.0667496
"Random House"	0.0666445
Ingram	0.0660783
"Long-Term Credit Bank"	0.0657161
"US West"	0.0653092
Sibneft	0.0652623
"more than @,@@@ acres"	0.0652172
Pillsbury	0.0645462
"American Home"	0.0642595
Fairchild	0.0642181
"Dresdner Bank"	0.064099
"Hughes Electronics Corp."	0.0639515
"J.P. Morgan &AMP; Co."	0.063867
"Donaldson, Lufkin &AMP; Jenrette"	0.0637915
Chiron	0.0637754
SmithKline	0.0637
Lindner	0.0634379
AGL	0.0632018
easements	0.0631486
"Thomson CSF"	0.0627578
"General Electric Co."	0.0626244
carmaker	0.0623755
"American International Group"	0.0621609
"London Stock Exchange"	0.0620678
COLTEC	0.061665
"Gillette Co."	0.0615601
"Oracle Corp."	0.0614509
Donaldson	0.061375
"common shares"	0.0609909
"Reed Elsevier"	0.0609896
HomeGrocer.com	0.0608312
Thomson	0.0608158
Elf	0.0605078
"Dell Computer Corp."	0.0597635
HBOC	0.0597472
"MindSpring Enterprises"	0.0596276
"Hong Kong Telecom"	0.059609
Lycos	0.0595464
Railtrack	0.0593829
"Bank of Montreal"	0.0587754
"Air Transport Association"	0.0585464
rover	0.0585311
"Texas Department of Public Safety"	0.0585052
))
("Atlantic salmon" (desc 2143.4) (sims
"striped bass"	0.165383
redfish	0.144025
bluefish	0.143137
salmon	0.137191
herring	0.133543
striper	0.124306
steelhead	0.123328
sturgeon	0.116774
coho	0.11347
Catfish	0.10267
shad	0.0982013
halibut	0.0967519
mackerel	0.0946015
"blue crab"	0.0921735
trout	0.0890217
walleye	0.0886455
"rainbow trout"	0.0882277
chinook	0.0868449
"coho salmon"	0.0863749
"king salmon"	0.0816889
tuna	0.0785622
cod	0.0775327
"horseshoe crab"	0.0752273
swordfish	0.0728304
quail	0.0715128
scallop	0.070569
"brook trout"	0.0699689
goose	0.0695538
"brown trout"	0.0679278
sardine	0.0674542
crawfish	0.0650892
oyster	0.0649269
pike	0.0631625
tarpon	0.0630103
"sea bass"	0.061723
lobster	0.0616636
crab	0.0589334
Firefly	0.0589326
ibis	0.0586534
"bluefin tuna"	0.0563262
ginseng	0.0557049
geese	0.0534541
"sea horse"	0.0529569
"sea bird"	0.0520968
carp	0.0511328
turbot	0.0509445
Mapes	0.0508351
honeybee	0.050608
otter	0.0505599
shellfish	0.050385
abalone	0.0501868
tofu	0.0500556
"short ribs"	0.0495854
"black bear"	0.0489488
Lecter	0.0488343
"sea turtle"	0.0484566
vermouth	0.0483575
bison	0.0478254
Hock	0.0478003
iguana	0.0475215
"monarch butterfly"	0.0472945
monkfish	0.0469169
COBBLER	0.0468928
venison	0.046415
"animal disease"	0.0462107
matzo	0.0461939
turnip	0.0461622
ostrich	0.0461618
"red snapper"	0.0460123
chorizo	0.0458761
elk	0.0458114
caviar	0.0456906
tilapia	0.0456146
REIT	0.0455476
bulgur	0.0455275
"pork tenderloin"	0.0454188
pickoff	0.0453686
urchin	0.0452126
Condor	0.0452031
waterfowl	0.0450803
Buffaloes	0.0449629
"peregrine falcon"	0.0448995
anchovy	0.0446965
rodent	0.044267
"red deer"	0.0440438
"African elephant"	0.0440014
crosscurrent	0.0438306
earthworm	0.0436677
airball	0.0432506
watercress	0.0431479
"pot roast"	0.0428321
humpback	0.0426055
burro	0.0424847
dot.com	0.0424402
grouper	0.0419843
blueberry	0.041972
eel	0.0418586
"prairie dog"	0.0416715
grub	0.0415991
jerky	0.0415742
smallpox	0.0415422
fungi	0.0414201
Icebox	0.0411019
ricotta	0.0408057
snail	0.0407981
lentil	0.0407565
"San Franciscans"	0.0405929
Alpha	0.0405752
persimmon	0.0405363
Domino's	0.0405265
truffle	0.0404819
seagull	0.0404161
cormorant	0.0403497
"sea urchin"	0.0403483
ladybug	0.0402867
Bighorn	0.0402643
plankton	0.040233
"voting age"	0.0401562
blackberry	0.0401398
"TV dinner"	0.0401297
"intercontinental ballistic missile"	0.0400723
mitochondria	0.0400699
))
(Atlantis (desc 7439.49) (sims
endeavour	0.299589
shuttle	0.182826
astronaut	0.118935
discovery	0.117001
Columbia	0.116623
Apollo	0.105064
Mir	0.104351
spacecraft	0.100297
Zvezda	0.0977061
"Mars Climate Orbiter"	0.0944733
cosmonaut	0.0906146
spaceship	0.0884879
Uliassi	0.0879082
Orbiter	0.0878371
"cargo ship"	0.0815024
module	0.0790588
"John Glenn"	0.072765
"Flight @@@@"	0.0714224
"supply ship"	0.0713228
Hunley	0.0690683
Glenn	0.0686626
"Delta @"	0.0671952
submersible	0.066673
helicopter	0.0660835
"Air France Concorde"	0.0659115
tugboat	0.0652527
"booster rocket"	0.0650158
osprey	0.0644836
"communications satellite"	0.0635252
"Mars Polar Lander"	0.0624999
Lander	0.0620823
freighter	0.0618512
"Andrea Gail"	0.061693
chopper	0.0609074
NASA	0.0590301
"space station"	0.0576596
crewmates	0.0575266
"space probe"	0.0569449
barge	0.056556
B-@@	0.0560749
MD-@@	0.0560135
Prowler	0.0553172
tanker	0.0548271
"Next Generation"	0.0537506
"Eileen Collins"	0.053655
X-@@	0.0535167
EgyptAir	0.0533886
submarine	0.053193
C-@@@	0.0526053
Cassini	0.0523866
"Flight @@@"	0.0520644
Fossett	0.0520421
"Airbus @@@"	0.0520154
payload	0.0515293
"Polar Lander"	0.05151
glider	0.0512558
Iglesias	0.0511226
Kursk	0.0506189
"Alaska Airlines Flight @@@"	0.0502442
"Hubble Space Telescope"	0.0502368
"De Soto"	0.0499056
Brahimi	0.0493825
hovercraft	0.0490293
capsule	0.0489846
Apaches	0.048968
"Cessna @@@"	0.0483013
Sahnoun	0.0482111
Zarya	0.0482043
"cabin cruiser"	0.0481577
U-boat	0.0477381
JAT	0.0475169
"Turkish Airlines"	0.0474688
"cruise ship"	0.0474582
interceptor	0.0473469
Sputnik	0.0473116
"Swissair Flight @@@"	0.0471929
"Playstation @"	0.0469285
spacewalks	0.0463492
"U.S. Defense Department"	0.0461842
sub	0.0461675
DC-@@	0.0461441
"merchant ship"	0.0459199
trawler	0.0456456
airliner	0.0454531
Concorde	0.0453713
"U.S. Air Force"	0.0453194
"Lunar Prospector"	0.0452588
warplanes	0.0448852
"Mars Global Surveyor"	0.0444663
"South African Airways"	0.0443009
"hot-air balloon"	0.044121
Apache	0.0437652
"blue angel"	0.0437369
"space walk"	0.0437019
"propulsion system"	0.0436219
USAir	0.043452
F-@@	0.0432913
Khaddam	0.0431342
"de Charette"	0.0428709
"Steve Fossett"	0.0426433
Wolfensohn	0.0422343
reconnaissance	0.0421614
Ikeda	0.0421014
"Japan Airlines"	0.0420495
PATHFINDER	0.0420415
jetliner	0.0419898
warship	0.0419575
A-@@@	0.0417967
"intercontinental ballistic missile"	0.0417577
Cessna	0.0415987
Lipponen	0.0415731
bomber	0.0415254
Sampaio	0.0414428
turboprop	0.0413117
snowbird	0.0412497
yacht	0.0412171
"EgyptAir Flight @@@"	0.0411649
"Christopher Columbus"	0.0409813
"Richard Branson"	0.0409572
booster	0.0408173
"fishing boat"	0.0406658
Luong	0.0406569
co-pilot	0.0406518
airmen	0.0404767
"battle group"	0.0400175
))
(Atlas (desc 10577.4) (sims
Encyclopedia	0.13207
"reference work"	0.0989282
almanac	0.0944473
dictionary	0.0909075
map	0.0864899
"reference book"	0.0784275
guidebook	0.0783905
directory	0.0756476
textbook	0.0745279
manual	0.0720894
handbook	0.068317
booklet	0.0648208
ephemera	0.0636437
brochure	0.06216
Compendium	0.061321
CD-ROM	0.0599413
thesaurus	0.0589677
periodical	0.0580468
"wall painting"	0.0566786
Necaxa	0.0545253
workbook	0.0544327
catalog	0.054003
diary	0.0536711
pamphlet	0.0533127
yearbook	0.0532897
"Consumer Reports"	0.0514983
"crossword puzzle"	0.0498725
Anthology	0.0495452
journal	0.0493033
database	0.0490565
corinthian	0.048961
manuscript	0.0488634
SA-@	0.0487468
"information system"	0.0480744
"literary work"	0.0480675
archive	0.0474817
"audio CD"	0.0474657
glossary	0.047421
postcard	0.0473927
"phone book"	0.0473851
newsletter	0.0473774
"white paper"	0.0472983
"weather map"	0.0472593
edition	0.0471032
biography	0.0470471
"application form"	0.0470291
scrapbook	0.0467319
calendar	0.0465221
text	0.0462747
databank	0.0459928
checklist	0.0458575
prospectus	0.0451891
cookbook	0.0449584
graph	0.0447635
Toluca	0.0443766
calculator	0.0443497
Bible	0.0442968
Website	0.0440042
essay	0.0438801
paperback	0.0434302
"computer program"	0.0433634
translation	0.0432912
bulletin	0.0431542
"official document"	0.0431411
Independiente	0.0430105
"sheet music"	0.0429303
tabulation	0.0426312
transcript	0.0423955
encyclical	0.0423699
"floor plan"	0.0423394
Proton	0.0423134
HARDCOVER	0.041989
classifieds	0.041697
calligraphy	0.0416382
"oil painting"	0.0415272
notebook	0.0415268
timeline	0.0415155
"National Geographic"	0.0414455
spreadsheet	0.0413772
"TV guide"	0.0413316
dossier	0.0412688
memoir	0.0411492
"Advertising Age"	0.0410683
"compact disc"	0.0410603
horoscope	0.0407515
Diagram	0.0404345
"yellow pages"	0.0404097
listing	0.0403082
"postage stamp"	0.0400756
autobiography	0.0400185
))
(Atler (desc 990.934) (sims
Solis	0.158935
Guthridge	0.139126
Baerga	0.131006
Antley	0.12817
Ftorek	0.128129
Finkel	0.12318
Dragila	0.121158
Samuelson	0.120561
Inman	0.115765
"Earnhardt Jr."	0.113042
Bierhoff	0.111395
Sheehan	0.110645
Khannouchi	0.110618
Heinrichs	0.110165
Irvan	0.109422
Okada	0.108931
Andreychuk	0.107484
Joyner-Kersee	0.107014
Yzerman	0.106258
Lipinski	0.104196
Biffle	0.103588
Waltrip	0.102998
Lobo	0.102396
Khorkina	0.102372
Romanowski	0.102029
Gimelstob	0.101115
Schmid	0.100683
Ceballos	0.100615
Mandella	0.100437
McCarron	0.100174
Fleischer	0.099192
Armstead	0.0990666
Montoya	0.0983009
Tanui	0.0982952
"Yao Ming"	0.0980116
Troussier	0.0977921
Azinger	0.0977059
Schmitt	0.0970958
Gogel	0.09674
Pincay	0.0965091
Weisman	0.0961954
Rossotti	0.0951706
Mendez	0.0949877
Gagne	0.0949848
Tapia	0.0948574
Carbonneau	0.0945381
Boldon	0.0940831
Ruehe	0.0934477
Geiger	0.0934213
Gossage	0.0933428
Garces	0.0931828
Ganassi	0.0929983
Winn	0.0929605
Laudrup	0.0927821
Calcavecchia	0.0925389
Flanagan	0.0924907
Passarella	0.0923485
Guerra	0.0922141
Jacquet	0.0920811
Golding	0.0915623
Brister	0.0913849
Schuerholz	0.0908632
beamer	0.0908164
Mullin	0.0907485
Sasser	0.0907283
Ainge	0.0907035
Butyrskaya	0.0906236
Sahadi	0.0905842
Summitt	0.0903695
Skiles	0.0902563
Braswell	0.0901438
Taufik	0.0897569
Hendrickson	0.0897533
Moakley	0.0896795
Unser	0.089449
Appleby	0.0893154
Parris	0.0891931
Rahal	0.0891207
Suker	0.0890952
Paxon	0.0885755
Behr	0.0882079
Dunleavy	0.0877813
Gambill	0.0876865
Devers	0.0873151
Mora	0.0873082
Menard	0.0872501
Hyman	0.0871306
Herta	0.0869508
Mayfield	0.0868861
Leyland	0.0868599
Choi	0.0868295
Silverstein	0.0864382
Arias	0.0863976
Bartlett	0.0863122
Insulza	0.0858409
Zanardi	0.0856581
Outzen	0.0856336
Corretja	0.0855939
Bergeron	0.0855169
Robson	0.0854687
"Sang Lan"	0.0854569
Pantani	0.0854401
Maier	0.0845622
Smyers	0.0845103
Kagwe	0.0843986
Piot	0.0843928
Gooden	0.0843056
Weinke	0.0840038
Sanchez-Vicario	0.0838086
Polgar	0.0838029
Holtz	0.0836869
Sorenstam	0.0836237
Advani	0.0835332
Cota	0.0834624
Brosius	0.0834229
Kitna	0.0833124
Murrell	0.083293
Olazabal	0.0832787
Hornaday	0.0832017
Kumar	0.0830883
Hartsburg	0.0828
Robitaille	0.0826586
Nowitzki	0.0825448
Valenti	0.082377
Leach	0.0823325
"administration official"	0.0821839
Contreras	0.082172
Polian	0.0821536
Gilkey	0.0820109
Molinari	0.0818012
Najera	0.0817868
Doohan	0.0816573
Mayfair	0.0816165
Kukoc	0.0814324
petty	0.0813897
Constantine	0.0812857
Andretti	0.0811902
"Rich Brooks"	0.0811783
Hickman	0.0810708
Durant	0.0808696
Kuehne	0.0808399
Trepagnier	0.0805263
Gullikson	0.0804837
JOYNER	0.0803194
Jobe	0.0802053
Auriemma	0.0800902
Whitaker	0.0799643
Lehane	0.0798692
Cummings	0.0797927
Prewitt	0.0797497
Calvary	0.0797179
Meissner	0.0796541
Hoch	0.0796445
Sang	0.079597
Brack	0.0795137
Babcock	0.07951
Stricker	0.0795038
Akers	0.0794636
Sykora	0.0793567
Sherrill	0.0793267
Hatteberg	0.0792484
Beazley	0.0792472
Saberhagen	0.0791739
Scelzi	0.0791611
Wilkens	0.0791605
Savarese	0.0791168
O'Reilly	0.0791125
Tanaka	0.0790265
Edelstein	0.078983
Kenseth	0.0789788
Larson	0.0789225
"Van Roost"	0.0788743
Laperriere	0.0788341
Kwan	0.0787051
Klinsmann	0.0786822
Ortega	0.0785745
guo	0.0784637
Pegram	0.0784123
Moog	0.0784079
Soyinka	0.078363
Bratton	0.0782829
Rubenstein	0.0782563
Whitsitt	0.0782028
Herron	0.0781427
McGinnis	0.0780853
Cowan	0.0780056
Wohlers	0.0779585
Tomey	0.0779248
Olsen	0.0777331
Briscoe	0.0777284
Garnett	0.0777056
Bodine	0.0776486
Faldo	0.0776418
Cheever	0.0776138
Clement	0.077608
Katsav	0.0775384
Krzyzewski	0.0775006
Baumhammers	0.0774685
Woolley	0.077412
Fernandez	0.0772368
))
(Atletico (desc 3249.79) (sims
Valladolid	0.180937
"Atletico Madrid"	0.162804
"Real Sociedad"	0.161229
Zaragoza	0.156608
"Real Betis"	0.15484
Boca	0.152748
Alaves	0.150056
Espanyol	0.145165
Betis	0.14463
"Red Star"	0.141075
Brondby	0.138636
Schalke	0.135916
AEK	0.133231
"Athletic Bilbao"	0.132855
Bayern	0.13242
"Schalke @@"	0.127267
Penarol	0.127175
Spartak	0.125861
Rostock	0.125773
Villareal	0.125472
Gremio	0.122407
Rosenborg	0.119351
Duisburg	0.118403
Estudiantes	0.117792
"Fighting Irish"	0.117268
Besiktas	0.115937
"Boca Juniors"	0.115535
Galatasaray	0.114585
Olympiakos	0.114026
Dortmund	0.11365
"Deportivo La Coruna"	0.111225
Panathinaikos	0.109947
Gustafsson	0.108305
Dosedel	0.108162
Benfica	0.108148
Celta	0.107883
Anderlecht	0.107743
Salamanca	0.106834
Mallorca	0.105982
"Paris St Germain"	0.105127
Lapentti	0.104298
Palmeiras	0.103932
"Slavia Prague"	0.103907
Fenerbahce	0.103349
Deportivo	0.103196
Ajax	0.102951
Nacional	0.102888
Necaxa	0.10239
Feyenoord	0.102361
Valencia	0.101942
"Partizan Belgrade"	0.100735
"Coventry City"	0.0999151
"Velez Sarsfield"	0.0993931
Zamalek	0.0992437
Kaiserslautern	0.0988589
"Spartak Moscow"	0.0979615
Independiente	0.0967994
"Real Madrid"	0.0960632
Maribor	0.095299
"Colo Colo"	0.0944364
Leverkusen	0.0943933
"Deportivo Coruna"	0.0943776
"Horned Frogs"	0.0941321
Shenhua	0.0940763
Oviedo	0.0938651
Bastia	0.0935458
Extremadura	0.093336
Salernitana	0.0933146
"Olympique Marseille"	0.0920972
"Borussia Dortmund"	0.0919732
corinthian	0.0913599
Inter	0.0913389
Sevilla	0.0902739
Edberg	0.0902477
Ulihrach	0.0892453
Wolfsburg	0.0888951
"Albert Portas"	0.088853
"Celta Vigo"	0.0887032
Heerenveen	0.0886583
Tenerife	0.088439
Prinosil	0.0881542
PSV	0.0879743
Susanti	0.0878356
"Leeds United"	0.087798
"Joannette Kruger"	0.0876948
Perugia	0.0874272
Mavs	0.0872477
"VfB Stuttgart"	0.0870612
Auxerre	0.0869831
Flamengo	0.0869343
Schalken	0.0862597
Meligeni	0.085995
"River Plate"	0.0855782
Damm	0.0853773
Raja	0.0852569
Piacenza	0.0843297
Vicenza	0.0842549
Fiorentina	0.0841463
Vasco	0.0837516
Schnyder	0.0836398
"Barbara Schwartz"	0.0832612
"Bradford City"	0.0829224
Likhovtseva	0.0828585
Freiburg	0.0827861
"Olympiakos Piraeus"	0.0827169
Habsudova	0.0825367
Rennes	0.0821235
Udinese	0.0819507
"Nicole Pratt"	0.081677
"San Lorenzo"	0.0814933
Jayhawks	0.0811343
UAB	0.081095
Raoux	0.0810587
Springbok	0.0810522
"Leicester City"	0.0810218
"Guangzhou Apollo"	0.0808352
"Kinder Bologna"	0.080062
Barcelona	0.0800132
"PSV Eindhoven"	0.0800093
"Bayer Leverkusen"	0.0793112
"Richard Fromberg"	0.0791808
Porto	0.0788948
"Hernan Gumy"	0.0787064
Boilermakers	0.0786103
Cruzeiro	0.0786068
"Rainer Schuttler"	0.0783559
Schett	0.0780962
Parma	0.0780466
Hongyuan	0.0780089
Terps	0.0779374
Coetzer	0.0778086
"Dalian Wanda"	0.077738
Vacek	0.0776708
Huber	0.0776356
Larsson	0.0770871
"Red Raiders"	0.076978
"Borussia Moenchengladbach"	0.0769379
"Los Angeles Galaxy"	0.076882
"Chinese Army"	0.0768031
Cagliari	0.0764347
Santander	0.0763081
"Tatiana Panova"	0.0762757
Uri	0.0762242
Empoli	0.0758841
Cavs	0.0755468
"Sargis Sargsian"	0.0754954
Haarhuis	0.0754928
Juventus	0.0754703
"Nathalie Dechy"	0.0754534
Torino	0.0752892
"Dynamo Kiev"	0.0748476
"Kenneth Carlsen"	0.0747737
"Tara Snyder"	0.074615
"AEK Athens"	0.074606
"Buffalo Sabres"	0.0744158
Ilie	0.074389
"Amy Frazier"	0.074127
Huskers	0.0741078
Obilic	0.0739903
bearcat	0.0739649
"Paul Goldstein"	0.0739114
"Red Star Belgrade"	0.0738676
Kournikova	0.0738213
"Derby County"	0.073755
"Newcastle United"	0.0734493
"Magui Serna"	0.0733654
"Christian Ruud"	0.0731971
"Glasgow Rangers"	0.0730715
"Jubilo Iwata"	0.0730336
Andorra	0.0728467
Lecce	0.0727227
"Croatia Zagreb"	0.072711
"Karim Alami"	0.0724715
"Magdalena Maleeva"	0.0723585
"Shanghai Shenhua"	0.0723065
"Franco Squillari"	0.072201
"Tar Heels"	0.0721247
Metz	0.0719746
Napoli	0.0719074
"Guy Forget"	0.0717917
Minutemen	0.0715705
"Jerome Golmard"	0.0714695
MetroStars	0.0712809
"Scott Draper"	0.0711833
Polgar	0.0711358
"Phenix City"	0.0711216
"Javier Sanchez"	0.070977
Bayi	0.0708398
Bjorkman	0.0708226
"Gong Ruina"	0.0707566
"Red Storm"	0.0706552
"Ramon Delgado"	0.0705047
Karpov	0.0705021
Charlton	0.0704586
K-State	0.0703766
Testud	0.0702947
Santoro	0.0702291
"Anne Kremer"	0.0699441
"Hicham Arazi"	0.0699167
PAOK	0.0698572
))
("Atletico Madrid" (desc 4668.5) (sims
"Real Betis"	0.26689
"Real Sociedad"	0.26172
Espanyol	0.244829
"Celta Vigo"	0.226465
Celta	0.205636
"Athletic Bilbao"	0.198795
Valencia	0.19524
"Real Madrid"	0.185898
"VfB Stuttgart"	0.174988
Valladolid	0.171932
"Olympique Marseille"	0.163773
Atletico	0.162804
"Spartak Moscow"	0.162124
"Albert Portas"	0.161241
"Inter Milan"	0.159845
Tenerife	0.159655
"Galo Blanco"	0.159654
"Bayern Munich"	0.158283
"AC Milan"	0.156814
"Carlos Costa"	0.155271
Besiktas	0.155223
Zaragoza	0.154758
"Red Star"	0.15246
Mallorca	0.152085
Anderlecht	0.151438
"Deportivo Coruna"	0.15081
"Javier Sanchez"	0.150273
Fiorentina	0.150027
Galatasaray	0.147359
Brondby	0.145864
"Glasgow Rangers"	0.145093
Zamalek	0.14408
"Schalke @@"	0.144032
"PSV Eindhoven"	0.143512
Feyenoord	0.142216
Juventus	0.141964
"Sergi Bruguera"	0.140207
Panathinaikos	0.139749
"Deportivo La Coruna"	0.139639
"Ajax Amsterdam"	0.138446
"Boca Juniors"	0.138119
"Manchester United"	0.137032
"Borussia Moenchengladbach"	0.136029
Sevilla	0.135615
Auxerre	0.134953
Benfica	0.134286
"Newcastle United"	0.134007
"Partizan Belgrade"	0.133424
Alaves	0.132325
"Bayer Leverkusen"	0.132
"Alberto Berasategui"	0.130946
Spartak	0.130316
Parma	0.129108
Necaxa	0.129063
Udinese	0.12891
Gremio	0.12864
Olympiakos	0.128411
"Werder Bremen"	0.127819
Bilbao	0.127259
Ajax	0.125827
Betis	0.124666
Atalanta	0.12357
"Albert Costa"	0.123362
"Hertha Berlin"	0.123164
"Nottingham Forest"	0.122883
"Francisco Clavet"	0.122792
Bastia	0.122681
"Borussia Dortmund"	0.122207
"Magui Serna"	0.121308
Barcelona	0.121307
"Velez Sarsfield"	0.121065
"Slavia Prague"	0.119329
Penarol	0.118893
Kaiserslautern	0.117555
"FC Porto"	0.116256
Fenerbahce	0.115761
"Dynamo Kiev"	0.114928
"Aston Villa"	0.114867
"Jubilo Iwata"	0.114596
"Guangzhou Apollo"	0.114128
Torino	0.111779
Monaco	0.110739
Cruzeiro	0.1106
Estudiantes	0.110544
Everton	0.110131
Schalke	0.109858
Nacional	0.108808
"Chinese Army"	0.108239
"River Plate"	0.106851
"Hernan Gumy"	0.106626
Rosenborg	0.106477
Flamengo	0.106449
"Olympiakos Piraeus"	0.106155
Heerenveen	0.105682
"Colo Colo"	0.105054
Porto	0.104986
"Julian Alonso"	0.104921
"Coventry City"	0.104375
"AEK Athens"	0.104022
"Leeds United"	0.103709
"Felix Mantilla"	0.102051
"West Ham"	0.101117
"Adrian Voinea"	0.100902
"Croatia Zagreb"	0.100812
"Kinder Bologna"	0.100763
"Shanghai Shenhua"	0.100455
"Alberto Costa"	0.100423
Oviedo	0.100407
"Guy Forget"	0.100148
Salamanca	0.0996414
corinthian	0.0989981
"Barbara Paulus"	0.0989056
Rennes	0.0980115
"Sichuan Quanxing"	0.0978957
Middlesbrough	0.097819
"Arnaud Di Pasquale"	0.0971869
"Sargis Sargsian"	0.0970635
Extremadura	0.0965998
Liverpool	0.0964749
"Karim Alami"	0.096464
Inter	0.0957602
Cagliari	0.0948465
"Paola Suarez"	0.0946172
"Andrei Pavel"	0.0946135
"Richey Reneberg"	0.0945824
Blackburn	0.0943996
"Magdalena Maleeva"	0.0941744
"Nathalie Dechy"	0.0940132
"VfL Wolfsburg"	0.0939536
Vitoria	0.0939445
Sampdoria	0.0937826
"Rainer Schuttler"	0.0937677
"Juan Antonio Marin"	0.0935797
"Dalian Wanda"	0.0934894
"Renzo Furlan"	0.0934172
"Tatiana Panova"	0.0931292
"Leicester City"	0.0929041
"Jerome Golmard"	0.0927754
Metz	0.0927713
"Mariano Zabaleta"	0.0927708
"Sarah Pitkowski"	0.0925992
"Qingdao Hainiu"	0.0920568
"Crystal Palace"	0.0919705
Bayern	0.09159
"Amy Frazier"	0.0910301
Bologna	0.0909596
"Guangdong Hongyuan"	0.090773
"D.C. United"	0.0907668
"Franco Squillari"	0.0906009
"San Lorenzo"	0.0905084
"Blackburn Rovers"	0.0902119
"Carlos Moya"	0.0897451
"AC Parma"	0.0897092
"Mikael Tillstrom"	0.0896677
"Richard Fromberg"	0.0895377
Internazionale	0.0892581
Palmeiras	0.0890672
"Sabine Appelmans"	0.0890575
"Vincent Spadea"	0.0888843
"Juan Carlos Ferrero"	0.0883138
"FC Barcelona"	0.0882748
Fulham	0.0878024
"Jinan Taishan"	0.0870343
"West Ham United"	0.0867526
Deportivo	0.0866574
"Christian Ruud"	0.0865663
"Conchita Martinez"	0.0863114
Tottenham	0.0862158
"Miami Fusion"	0.0860818
"Andreas Vinciguerra"	0.0857886
"Arnaud Boetsch"	0.0857766
"Phenix City"	0.0856159
Independiente	0.0854106
"Sturm Graz"	0.0851678
Leverkusen	0.085155
Lecce	0.0851391
"Alex Corretja"	0.0851237
Roma	0.0848895
"Los Angeles Galaxy"	0.0847595
Salernitana	0.0846389
Charlton	0.0843471
Chelsea	0.0841515
Piacenza	0.0841445
Shenhua	0.084045
"Tara Snyder"	0.0839629
"Arnaud Clement"	0.0837155
Leicester	0.0826601
"Arantxa Sanchez-Vicario"	0.0825731
"Carlos Sainz"	0.0825524
"Nicole Pratt"	0.0824198
"Elena Likhovtseva"	0.0823475
"Jonathan Stark"	0.0822988
Perugia	0.082293
"Wayne Black"	0.0817779
"Silvia Farina"	0.0817269
"Jason Stoltenberg"	0.0816557
"Arantxa Sanchez Vicario"	0.0816431
"Marcelo Filippini"	0.0815283
"Xavier Malisse"	0.0814636
"Fighting Irish"	0.0811837
))
(atm (desc 20006.7) (sims
"automated teller machine"	0.229619
"automatic teller machine"	0.153624
"cash machine"	0.13858
kiosk	0.0985369
"branch office"	0.0983021
machine	0.0954705
"service station"	0.0921671
"gas station"	0.0920431
"computer network"	0.0906548
debit	0.0890926
"personal computer"	0.0890398
telephone	0.088825
server	0.0875022
Computer	0.0874773
"slot machine"	0.0865408
phone	0.0860694
GSM	0.0854896
"travel agency"	0.084367
Pharmacy	0.0834515
"cellular phone"	0.0821527
"phone system"	0.0817903
"credit card"	0.0808887
"phone service"	0.0808145
"gasoline station"	0.0805152
branch	0.0803442
CDMA	0.0793475
DSL	0.078693
"checking account"	0.0783466
"telephone line"	0.0779666
"vending machine"	0.0775109
outlet	0.0770098
"polling place"	0.0760939
modem	0.0757081
"phone line"	0.0753188
teller	0.0752814
"cellular telephone"	0.0748508
"traffic light"	0.0741777
"polling station"	0.0736686
PC	0.0736422
"cash register"	0.073134
terminal	0.0729455
"telephone service"	0.0721001
"fax machine"	0.0718962
"convenience store"	0.0718701
"telephone network"	0.0711779
"motor vehicle"	0.071166
pager	0.0711362
subscriber	0.0707462
scanner	0.0698547
"post office"	0.069815
"cable system"	0.0695641
supermarket	0.0694239
deposit	0.0693267
"bank card"	0.068568
switchboard	0.0683232
customer	0.0674805
"filling station"	0.0672658
"bank account"	0.0671725
centenarian	0.0671114
"grocery store"	0.0668603
"tv set"	0.0664918
firearm	0.0661748
"financial institution"	0.0659348
printer	0.0650999
pagers	0.0646212
"retail store"	0.0646102
bakery	0.0639008
workstation	0.0637912
banking	0.0631658
card	0.0631252
"printing press"	0.0628792
elevator	0.062742
"wireless telephone"	0.0623864
database	0.0622039
toilet	0.0620337
"power grid"	0.06195
refinery	0.0618227
software	0.0615576
user	0.0615129
"local area network"	0.0613896
device	0.0612343
"optical fiber"	0.0612052
restaurant	0.0612013
"telephone system"	0.0610911
parking	0.0609437
clinic	0.0608695
"television set"	0.0604453
conditioner	0.0599995
bookstore	0.059925
recorder	0.0599208
Casino	0.0596739
"cable television"	0.0591463
"sales outlet"	0.0590907
drugstore	0.0590892
"mainframe computer"	0.0590332
taxi	0.0589489
depositor	0.0588445
"desktop computer"	0.0587204
cable	0.0587056
"fiber optic cable"	0.058629
"commercial bank"	0.0585917
booth	0.0585483
"savings account"	0.0583237
"mutual fund"	0.0582626
"power plant"	0.0582408
laptop	0.0581313
transaction	0.0580351
vehicle	0.0578929
appliance	0.0578452
VCR	0.0576143
"hot line"	0.0574434
automobile	0.0574125
"employment agency"	0.0572727
"gas pump"	0.0572126
"temporary worker"	0.0571775
condom	0.0571085
"liquor store"	0.0569828
Satellite	0.056772
telecommunication	0.0567207
mainframe	0.0566108
"department store"	0.0564361
"oil well"	0.0564204
"educational institution"	0.0563311
dealerships	0.0562702
sensor	0.0562007
reactor	0.0561498
watercraft	0.0561292
intranet	0.0559599
utility	0.0559268
WAP	0.0559019
"nursing home"	0.0558664
subsidiary	0.0558247
"central office"	0.0557882
detector	0.0557796
equipment	0.0557682
camera	0.0555656
airline	0.0555145
Warehouse	0.0554758
"funeral home"	0.0553071
beepers	0.055237
"color television"	0.0552007
ISDN	0.0551776
webcams	0.0550565
household	0.054994
"hand-held computer"	0.0549397
"public transport"	0.0547705
corporation	0.0547669
factory	0.0547362
"subsidiary company"	0.0546307
"telephone number"	0.054622
radar	0.0545701
intranets	0.0544281
"X-ray machine"	0.0542991
defibrillators	0.0540732
"data communication"	0.0538555
"public school"	0.0537997
"industrial enterprise"	0.0537765
handset	0.0536308
"caller ID"	0.0536195
exhibitor	0.0534844
subscription	0.0534798
transmitter	0.0534151
"repair shop"	0.053369
"communications network"	0.0533557
GPS	0.0533554
winery	0.0533139
lottery	0.0532651
gun	0.0532481
broadband	0.0532359
"shopping center"	0.053184
brokerage	0.0531771
"union worker"	0.0530044
generator	0.0529894
snowmobile	0.0528872
telephony	0.0527192
"electrical power"	0.0524979
"radio station"	0.0524914
laboratory	0.0523415
ECN	0.0523247
"weather station"	0.0523215
"electronic device"	0.0522836
merchant	0.0522228
"trading system"	0.0521958
provider	0.05214
"shopping mall"	0.0520725
node	0.0520452
gambling	0.0520405
air-conditioner	0.0519411
borrower	0.0519198
"Sri Lankans"	0.0515394
dealer	0.0515005
desktop	0.0512858
aircraft	0.0511021
insurance	0.0510572
library	0.0509941
enrollee	0.0509865
"TV station"	0.0509116
transportation	0.0508889
stoplight	0.0508488
Portal	0.0506136
))
(atmosphere (desc 107878) (sims
climate	0.187762
mood	0.158148
environment	0.15463
air	0.128175
feeling	0.111297
tone	0.109615
spirit	0.106749
sense	0.106226
situation	0.104202
attitude	0.102887
culture	0.100017
condition	0.0977509
ambience	0.0944194
scene	0.0942811
manner	0.0921344
style	0.091748
weather	0.0912267
demeanor	0.0883378
relationship	0.0879281
aura	0.0873002
image	0.0859418
sentiment	0.085462
landscape	0.0849913
"investment climate"	0.0841474
setting	0.0836779
experience	0.0831858
relation	0.0830989
nature	0.0827935
life	0.0826441
water	0.0818529
politics	0.0808594
tension	0.0807687
feel	0.080587
quality	0.0805832
surroundings	0.0805744
emotion	0.0801272
excitement	0.0799651
ambiance	0.0794444
circumstance	0.079109
soil	0.0785608
kind	0.0781836
personality	0.0781464
moment	0.0780224
history	0.0771684
sound	0.0767407
process	0.0765271
presence	0.0762173
tradition	0.0760961
lifestyle	0.0760641
"magnetic field"	0.0755907
outlook	0.0755509
pattern	0.0754212
space	0.0749831
context	0.0737885
prospect	0.0735933
mix	0.0734789
structure	0.0729277
place	0.0727733
dynamic	0.0727638
warmth	0.0725262
depth	0.0724454
intensity	0.0722576
cloud	0.0721718
crowd	0.0719789
stability	0.0719271
flavor	0.0718431
mentality	0.071801
momentum	0.0717522
element	0.0715155
texture	0.0713861
enthusiasm	0.071189
approach	0.0706046
activity	0.0703096
performance	0.0702915
policy	0.0696239
light	0.0696185
vision	0.0692715
rhetoric	0.0692691
beauty	0.0692016
perception	0.069123
trend	0.0690104
celebration	0.0689635
expression	0.0689563
conversation	0.0685605
reaction	0.0685249
reality	0.0683236
behavior	0.0679038
Chemistry	0.0678688
development	0.0678221
charm	0.0675132
system	0.0674862
"weather conditions"	0.067389
chaos	0.0673809
temperature	0.0672697
aspect	0.0672386
economy	0.0672338
ocean	0.0671877
Sky	0.0671272
look	0.0669756
harmony	0.0669304
music	0.0667584
confidence	0.0665868
"economic condition"	0.0665412
world	0.0665395
voice	0.0664451
theme	0.0663243
framework	0.0661913
form	0.0660896
success	0.0660343
color	0.0658261
level	0.0656046
outcome	0.0655129
scenery	0.0655086
area	0.0653999
humor	0.0653543
language	0.0652767
dialogue	0.0650002
discussion	0.0648985
drama	0.0648551
view	0.0648031
rhythm	0.064404
taste	0.064402
uncertainty	0.0643451
room	0.0643008
energy	0.0642449
noise	0.0642314
picture	0.0641293
security	0.0640696
society	0.0639962
undercurrent	0.0639841
preparation	0.0638862
rivalry	0.0637978
potential	0.0636676
habit	0.0633429
scenario	0.0633416
arrangement	0.063271
lack	0.063129
surface	0.0631009
diversity	0.0630914
buzz	0.0630757
position	0.063062
terrain	0.0630088
frenzy	0.06297
effect	0.0628627
character	0.0628519
way	0.0627754
talk	0.0626072
progress	0.0625813
event	0.0622074
memory	0.0620941
stance	0.0620454
balance	0.0620378
perspective	0.0618835
strength	0.0618734
direction	0.0618731
interaction	0.0618706
achievement	0.0618136
era	0.0617091
thing	0.0616498
fashion	0.0616095
agenda	0.06154
layer	0.0615391
concept	0.0615071
interest	0.0615055
mechanism	0.0615038
problem	0.0614676
opportunity	0.0614331
detail	0.0611565
anxiety	0.0610192
controversy	0.0607188
response	0.0606706
tale	0.0606383
intimacy	0.0606246
confusion	0.0605462
pressure	0.0604993
effort	0.0604557
discipline	0.0604148
friendship	0.0604109
degree	0.0603623
stuff	0.0603239
debate	0.0603124
heat	0.0603023
hope	0.0602777
glow	0.059994
role	0.0599471
camaraderie	0.059775
interior	0.0597219
reputation	0.0597164
strategy	0.0595942
idea	0.0595845
gravity	0.059518
schedule	0.0595142
sort	0.0594251
architecture	0.0593993
decor	0.0593855
future	0.059329
sign	0.0592689
calm	0.0592399
fog	0.0592191
matter	0.059109
))
("atmospheric condition" (desc 1282.69) (sims
"weather conditions"	0.102903
"market condition"	0.0886509
"trade wind"	0.0790451
"air current"	0.0747222
"air mass"	0.0743799
"ocean current"	0.0737518
angina	0.0734974
"air pressure"	0.0730614
"relative humidity"	0.0670992
"economic condition"	0.0652525
"rain shower"	0.0636059
hailstone	0.0631591
"instruction manual"	0.0622566
humidity	0.0622547
"rough water"	0.0621832
"low temperature"	0.0606214
tiredness	0.0605757
vibration	0.0602904
squall	0.0599613
"price change"	0.0598252
"business condition"	0.0588979
"blood pressure"	0.0586667
"cash crunch"	0.0581818
"high temperature"	0.0573299
"living arrangement"	0.0571884
"labor pool"	0.0561362
"labor resource"	0.05591
subsidence	0.0554945
ancients	0.0553019
"flow rate"	0.0552665
"acid rain"	0.0546459
"camera angle"	0.0546197
"high tide"	0.0541935
downslide	0.0534707
"consumer demand"	0.0533032
capillary	0.0532082
URLs	0.0532039
"jet stream"	0.0531503
specialities	0.0527317
"gambling casino"	0.0525796
"test-tube baby"	0.0524913
"cut of meat"	0.0524108
"good weather"	0.051978
Sino-Japanese	0.0517754
"market correction"	0.051202
"hot air"	0.0512
"time zone"	0.0511115
"job market"	0.0509015
rainstorm	0.0508348
"rate of exchange"	0.0506569
"flight path"	0.0506399
"La Nina"	0.0503324
varietals	0.0502233
"chemical reaction"	0.049318
"sugar refinery"	0.0490218
"hot weather"	0.0489279
"heart rate"	0.0488971
"financial condition"	0.0483976
"currency market"	0.0482626
"brain wave"	0.0481388
O's	0.0480585
"cold wave"	0.0480405
"Up to @ inches"	0.0479782
"dust storm"	0.0476714
"life form"	0.0476006
"cast of characters"	0.0474939
"cold snap"	0.0474913
oscillation	0.0471412
"income bracket"	0.0470134
"tidal wave"	0.046794
"pedestrian bridge"	0.0467771
hydrocarbon	0.0466596
nodule	0.0463083
"telephone book"	0.0462011
drowsiness	0.0461957
brownout	0.0458425
inhibition	0.0457864
equilibrium	0.0454995
firestorm	0.0450677
"battle line"	0.0450179
TKT	0.044975
"trading activity"	0.0444278
IGC	0.0444274
"sonic boom"	0.0443693
"cold weather"	0.0441949
"safety problem"	0.0440958
"interest rate increase"	0.0439985
brouhaha	0.0437226
comforts	0.0437057
ruckus	0.0436784
overcapacity	0.0436453
"rat race"	0.0436158
rapidity	0.0434425
"child welfare agency"	0.0433426
ventilation	0.0429649
ranching	0.0429309
"order book"	0.0428547
"fire wall"	0.0428452
"crisis situation"	0.0427463
"investment climate"	0.0427051
"political relation"	0.0427008
"trust account"	0.0425864
"oil market"	0.0425789
inequity	0.0424438
dioxide	0.0423739
"state of war"	0.0423513
"sulfur dioxide"	0.0423251
"upset stomach"	0.0423248
"magnetic field"	0.0422846
biomass	0.042244
calmness	0.0421795
"difference of opinion"	0.042173
"power failure"	0.0419605
"low pressure"	0.0418993
"oil slick"	0.0417669
fermentation	0.0417468
"development organization"	0.0417447
"skin cancer"	0.041707
"earnings disappointment"	0.0410352
"Saudi Press Agency"	0.0409284
deterrence	0.0409224
fissure	0.0408246
"cold spell"	0.0408183
playlist	0.0407072
"solar power"	0.0406841
"geographic region"	0.0405694
"grocery bag"	0.040502
"population density"	0.0403472
disunity	0.0403347
salinity	0.0403273
"noise level"	0.0403258
mixup	0.0402881
superhighway	0.0401322
good-neighborly	0.0401203
Radon	0.0400844
"high wire"	0.0400822
honeymooner	0.0400775
"organic compound"	0.0400634
"right whale"	0.0400373
))
(atmospherics (desc 2117.7) (sims
condescension	0.0461752
one-upmanship	0.0459748
superlative	0.044641
"Starr Report"	0.0437433
crosscurrent	0.0429623
brinkmanship	0.0414423
reverberation	0.0409865
horse-trading	0.0407597
hoopla	0.0403121
slickness	0.0402238
possiblity	0.0401302
))
("Ato Boldon" (desc 5596.84) (sims
"Maurice Greene"	0.312936
"Donovan Bailey"	0.283413
"Jon Drummond"	0.265834
Boldon	0.255805
"Frankie Fredericks"	0.251439
"Dennis Mitchell"	0.24615
"Bruny Surin"	0.238323
"Gail Devers"	0.236843
"Michael Johnson"	0.225008
"Marion Jones"	0.21142
"Irina Privalova"	0.209584
"Inger Miller"	0.207419
"Linford Christie"	0.197305
"Allen Johnson"	0.193342
"Marie-Jose Perec"	0.192299
"Merlene Ottey"	0.186604
"Christine Arron"	0.172872
"Jackie Joyner-Kersee"	0.166
"Cathy Freeman"	0.163564
"Maria Mutola"	0.162809
"Derrick Adkins"	0.159355
"Alexander Popov"	0.156915
Fredericks	0.155909
"Sandra Voelker"	0.154173
"Koji Ito"	0.150918
"Chen Lu"	0.150749
"John Godina"	0.150544
"Charles Austin"	0.149895
"Li Xuemei"	0.149601
"Doug Walker"	0.148157
"Colin Jackson"	0.147356
"Wilson Kipketer"	0.14568
"Hicham El Guerrouj"	0.143248
"Paul Tergat"	0.142514
"Deon Hemmings"	0.139295
"Li Jiajun"	0.138371
"Michael Klim"	0.136587
"Jenny Thompson"	0.136286
"Maria Butyrskaya"	0.136031
"Haile Gebrselassie"	0.133026
Ottey	0.132977
Devers	0.132713
"Svetlana Masterkova"	0.132263
"Sonia O'Sullivan"	0.132132
"Susanthika Jayasinghe"	0.131895
"Fatuma Roba"	0.131729
"Wang Yifu"	0.130932
"Brooke Bennett"	0.130041
"Moses Tanui"	0.129739
"Carl Lewis"	0.128736
"Gary Hall Jr."	0.126789
"Angelo Taylor"	0.126331
"Penny Heyns"	0.123374
"Liu Limin"	0.123317
"Daniel Komen"	0.122638
"Susie O'Neill"	0.121682
"Gabriela Szabo"	0.121224
"Tom Dolan"	0.121102
"Pernilla Wiberg"	0.117727
"Denis Pankratov"	0.117047
"Deborah Compagnoni"	0.116885
"Fu Mingxia"	0.116744
"Alexei Yagudin"	0.116293
"Alexei Nemov"	0.11483
"Mark Crear"	0.11423
"Elvis Stojko"	0.112784
"Claudia Poll"	0.111922
"Hiroyasu Shimizu"	0.111428
"Sergei Bubka"	0.11101
"Johan Museeuw"	0.111007
"Kim Batten"	0.110862
"Jean-Philippe Gatien"	0.109962
"Elena Berezhnaya"	0.10941
"Katja Seizinger"	0.109284
"Colin McRae"	0.109214
"Stacy Dragila"	0.109001
"Michael Von Gruenigen"	0.108828
"Todd Eldredge"	0.108412
"Blaine Wilson"	0.108052
Popov	0.106965
"Jacques Villeneuve"	0.106704
Drummond	0.106554
"world record-holder"	0.106529
"Ivan Pedroso"	0.105819
"Irina Slutskaya"	0.10566
"Dan O'Brien"	0.105275
"Ge Fei"	0.105067
"Rodney Eyles"	0.104543
"Svetlana Khorkina"	0.104298
Sautin	0.104235
"Dong Jiong"	0.102713
"Oksana Kazakova"	0.102486
"Le Jingyi"	0.101969
"Ben Johnson"	0.101478
"Kieren Perkins"	0.100634
"David Reid"	0.10014
"Hermann Maier"	0.100119
Shuwei	0.0991484
"Abraham Olano"	0.0991263
"Grant Hackett"	0.0985877
"Regina Jacobs"	0.0985793
"Yu Zhuocheng"	0.0984776
"Kong Linghui"	0.0984195
"Simona Amanar"	0.0980888
"Renate Goetschl"	0.0972401
"Laurent Brochard"	0.0972248
"Felix Savon"	0.0970028
"Deng Yaping"	0.0966144
"Lenny Krayzelburg"	0.0965997
"Michelle Kwan"	0.0956337
"Florence Griffith Joyner"	0.0955802
"Susi Susanti"	0.0952905
Dosedel	0.0952272
"Wang Chunlu"	0.0949186
"Alexei Urmanov"	0.0943862
"Ye Zhaoying"	0.0942712
"Arantxa Sanchez Vicario"	0.0941368
"Lasse Kjus"	0.0936459
"Tom Steels"	0.0935501
"Ian Thorpe"	0.0929538
"Samantha Riley"	0.0923238
"Peter Rasmussen"	0.0920887
"Daniel Kowalski"	0.0918228
"Jearl Miles-Clark"	0.0916407
"Wang Junxia"	0.0914782
Godina	0.0914203
"C.J Hunter"	0.0913556
"Max Biaggi"	0.0912168
"Fiona May"	0.0907994
Kipketer	0.089995
"Chris Boardman"	0.0897418
"Dara Torres"	0.0895278
"Wang Tao"	0.0890579
sprinter	0.0889688
"Michael Schumacher"	0.0884612
Klim	0.0883873
"Peter Gade Christensen"	0.0879598
"Chen Jing"	0.0878765
"Chen Hua"	0.087613
"Tommi Makinen"	0.087088
"Jeremy Wotherspoon"	0.0869098
"MIka Hakkinen"	0.0868785
"El Guerrouj"	0.0867747
"Jansher Khan"	0.0865421
"Jorgen Persson"	0.0864306
"Alex Zanardi"	0.0862137
"Liu Guoliang"	0.0857907
"Roy Jones Jr."	0.085576
"Randy Barnes"	0.0854681
Artax	0.0854415
"Garry Kasparov"	0.0851198
"Peter Nicol"	0.0844434
"Erik Zabel"	0.0843817
"Anatoly Karpov"	0.0841604
"Gil Morgan"	0.0839971
"Lee Janzen"	0.0836331
"Mario Cipollini"	0.0836018
"Wu Yanyan"	0.0834139
"Eddie Cheever"	0.0830188
"Picabo Street"	0.0829804
"Jimmy Vasser"	0.0825483
"American Pete Sampras"	0.082398
"Oliver McCall"	0.0823627
"Carlos Sainz"	0.0823547
"Tegla Loroupe"	0.0821582
"Hilde Gerg"	0.0819997
"Heryanto Arbi"	0.0819995
Seizinger	0.0819925
"Michael Doohan"	0.0812425
"HANK KUEHNE"	0.0812279
"Mia Audina"	0.0811004
"Gary Hall"	0.0810802
"Michelle Smith"	0.0809255
"Olin Browne"	0.0808754
"Alberto Tomba"	0.080806
"Iwan Thomas"	0.0807081
Greene	0.0806771
"Xiong Ni"	0.0803334
"Fung Permadi"	0.080088
"Kenny Brack"	0.0798463
"Mary Slaney"	0.0793551
"Kimiko Date"	0.0788712
"Paul Lawrie"	0.0787649
"Buster Douglas"	0.0787153
"Gunda Niemann-Stirnemann"	0.0786665
"Isolde Kostner"	0.0785776
"Mark Calcavecchia"	0.0783179
"Jan-Ove Waldner"	0.0782389
"Amy van Dyken"	0.0781464
"Damon Hill"	0.0780887
"Jesse Owens"	0.0775512
bailey	0.0772304
Hoogenband	0.0771282
"Laurent Jalabert"	0.0770606
"Michael Weiss"	0.0770582
"Javier Sotomayor"	0.0770412
Ullrich	0.0766913
"Davis Love III"	0.076302
"Liu Xuan"	0.076278
"Lance Armstrong"	0.0761474
))
(atoll (desc 3921.6) (sims
archipelago	0.111121
islet	0.0974334
"about @,@@@ kilometers"	0.0821513
"Outer Banks"	0.0677568
reef	0.0663803
isle	0.0633279
seabed	0.0619082
"Hainan Island"	0.0618711
lagoon	0.0606495
Guadalcanal	0.0602173
"about @,@@@ miles"	0.0582772
"about @@@ km"	0.0575299
"more than @@@ kilometers"	0.0572858
"about @@ km"	0.0570039
"about @@@ kilometers"	0.0563723
"New Territories"	0.0561414
"about @ miles"	0.0543881
"eight kilometers"	0.0529874
"coral reef"	0.0528235
coastline	0.0525584
"nine miles"	0.0515303
"New Caledonia"	0.0505262
"piece of furniture"	0.0504059
outcrop	0.0495851
crematorium	0.0485611
"Nearly @@@ miles"	0.0478253
Drenica	0.0470162
shoal	0.0466929
"St. Kitts"	0.0466107
"about @@ kilometers"	0.0459738
"piece of land"	0.0450531
polyp	0.044958
steppe	0.0449336
Pemba	0.0447993
"Diaoyu Islands"	0.0444948
"parcel of land"	0.0444012
"about @@@ miles"	0.0439555
"over @@@ kilometers"	0.0437136
"rain forest"	0.0435529
"Florida Keys"	0.0435321
"circulatory system"	0.0432069
Typhoon	0.0431371
kibbutz	0.0430338
Tonga	0.0426643
colonias	0.0425945
"steel mill"	0.0423132
"Grand Canyon National Park"	0.0422876
Nantucket	0.0420448
"dairy farm"	0.0419379
shoreline	0.0418544
resellers	0.0416733
"seven miles"	0.0415944
"cattle ranch"	0.0413959
Midrand	0.0413707
"tropical rain forest"	0.0410723
"about three miles"	0.0410168
Beaufort	0.0410083
"U.S. Virgin Islands"	0.0405908
"Marin County"	0.040556
"Abu Musa"	0.0405216
"Papua New Guinea"	0.0403868
"combat mission"	0.0401193
"six miles"	0.0400589
"five kilometers"	0.0400579
))
(Atom (desc 17816.6) (sims
molecule	0.155608
electron	0.135473
particle	0.131768
isotope	0.125035
ion	0.121533
nuclei	0.108667
Proton	0.100336
neutrino	0.0824784
"subatomic particle"	0.0810777
neutron	0.0787058
hydrogen	0.0779101
quark	0.0752794
oxide	0.0741672
photon	0.0735735
alloy	0.0698846
helium	0.0696207
vapor	0.0640054
gas	0.0637824
carbon	0.0637555
droplet	0.0631274
cell	0.0629686
neuron	0.0598027
transistor	0.0588151
"black hole"	0.0584232
"amino acid"	0.0572249
silicon	0.0566757
protein	0.0562664
organism	0.0557815
"carbon dioxide"	0.0548906
oxygen	0.0546055
"atomic bomb"	0.0542788
coolant	0.0538776
chemical	0.0537442
layer	0.0526711
rod	0.0522869
granule	0.0522796
nitrogen	0.051727
Gene	0.0516479
"atom bomb"	0.051517
galaxy	0.0510412
projectile	0.0510256
"water vapor"	0.0506295
electrode	0.050289
DNA	0.0492803
mineral	0.048756
dust	0.0486442
crystal	0.0485773
nucleus	0.0482672
coil	0.0481654
iron	0.0478759
iodine	0.0476768
sulfate	0.0474358
chromosome	0.0468742
metal	0.0467149
ore	0.0466476
propellant	0.0464213
fragment	0.0463273
pellet	0.0463165
"chemical compound"	0.0461678
planet	0.0460913
pollutant	0.0456367
tritium	0.0453296
canister	0.044916
ingot	0.0443972
slab	0.0443462
pixel	0.0441367
moisture	0.0439512
"building block"	0.0437183
"blood cell"	0.0437043
concentration	0.0434762
wafer	0.0434334
tissue	0.0433841
density	0.0432433
asteroid	0.043193
"magnetic field"	0.0430825
laser	0.0430125
tube	0.0430042
cylinder	0.0423751
circuitry	0.0422708
microorganism	0.0421441
"sound wave"	0.0419834
antibody	0.0417024
substance	0.0413173
cloud	0.0411333
depletion	0.0410402
earth	0.0408853
lava	0.0408068
polymer	0.0405495
))
("atom bomb" (desc 1531.5) (sims
"atomic bomb"	0.299573
"neutron bomb"	0.204134
"hydrogen bomb"	0.176433
Nuke	0.11451
"National Missile Defense"	0.101072
"nuclear-powered submarine"	0.0910608
"electronic database"	0.0908667
polygraph	0.0898086
nuclear-weapons	0.0881323
"Joint Strike Fighter"	0.0863447
"pipe bomb"	0.0858454
THAAD	0.0830428
"nuclear explosion"	0.0814022
"Marshall Plan"	0.0808874
NMD	0.0797565
"ballistic missile"	0.0780196
"test-tube baby"	0.0764998
"intercontinental ballistic missile"	0.0754551
ordnance	0.0750218
"nuclear warhead"	0.0735809
"rocket engine"	0.0728057
"Delta @"	0.0723291
X-@@	0.0721408
"hand grenade"	0.0712632
supercomputers	0.0701108
"car bomb"	0.0691411
ICBM	0.0683536
Toxicology	0.0678135
osprey	0.0668817
"artificial heart"	0.0661655
"weapons system"	0.0660756
spaceflight	0.065562
"power unit"	0.0648638
"spy satellite"	0.0645851
"wind tunnel"	0.0641986
TMD	0.0641429
antigen	0.0640905
"explosive device"	0.0639937
"mainframe computer"	0.0633062
interceptor	0.062668
"electric car"	0.0623708
Hindenburg	0.0621067
simulator	0.0620653
"weapon system"	0.0620558
warhead	0.0605001
"cluster bomb"	0.0604356
"germ warfare"	0.0601802
"missile defense system"	0.0600173
antibody	0.0595217
MCAS	0.0594472
emulator	0.0594292
"telephone network"	0.059207
"propulsion system"	0.0586027
"hand-held computer"	0.0585013
"communications satellite"	0.0582708
"applied science"	0.0582339
"compact car"	0.058181
electrocardiogram	0.0576907
"highway system"	0.0575194
"electrical device"	0.0572696
"guided missile"	0.0569176
"fire wall"	0.0568479
"shock therapy"	0.0566838
algorithm	0.0560574
"written language"	0.0560344
motherboards	0.0559984
"biological warfare"	0.0556888
"line of products"	0.0551023
diagnostics	0.0545658
gunpowder	0.0543204
fiefdom	0.0536224
databank	0.0534578
"fuel cell"	0.0533959
"jet engine"	0.0531069
"programming language"	0.0530265
supercomputer	0.0529176
"business line"	0.0526552
"space vehicle"	0.0520413
aptitude	0.0519987
"poison gas"	0.0517024
"defense system"	0.0516979
bombshell	0.0516608
talkie	0.0515728
"New Beetle"	0.0514457
"Special Economic Zones"	0.0514419
jaundice	0.05141
"One unit"	0.0513077
intranet	0.0512445
"artificial intelligence"	0.0511848
"integrated circuit"	0.0511826
"memory chip"	0.0509222
"debt market"	0.0508783
"Palm Pilot"	0.0508575
SAT	0.0506417
competency	0.0505072
"TWA Flight @@@"	0.050327
"booster rocket"	0.0501204
"security system"	0.0500587
"phone system"	0.0500116
"Citizen Kane"	0.0497857
FTAA	0.0495587
"communication system"	0.0495501
microcomputer	0.0489811
Alpha	0.0489324
"storage device"	0.0487977
antihistamine	0.048678
"microwave oven"	0.048564
"diesel engine"	0.0483524
isotope	0.0482915
in-house	0.0481581
"athletic facility"	0.0479815
"early warning system"	0.0478722
"flight simulator"	0.0477779
landmine	0.0477533
sobriety	0.0477288
"inferiority complex"	0.0475551
artificiality	0.0474178
"aircraft engine"	0.0473984
virginity	0.0472135
injector	0.0471713
Solaris	0.0470974
proficiency	0.0470434
"juvenile delinquent"	0.0470426
"gas tank"	0.0470333
angiostatin	0.04691
"software package"	0.0468872
clicker	0.0465735
ADSL	0.046404
knighthood	0.0463681
router	0.0463514
A@XX	0.0461278
counterterrorism	0.0460518
"general knowledge"	0.0459578
macro	0.0459572
"six degrees"	0.0452889
"defense mechanism"	0.0451035
"instruction manual"	0.0449823
"test equipment"	0.044979
"communications network"	0.0449201
clunker	0.0448021
"data system"	0.0447282
abacus	0.0445373
transformer	0.0445369
midair	0.0444942
"Blade Runner"	0.0444542
heliport	0.044394
vibrator	0.0443292
"Volkswagen Beetle"	0.044319
usability	0.0442087
"sphere of influence"	0.0441998
munition	0.0441534
"aircraft part"	0.0441269
"market economy"	0.0440467
"mushroom cloud"	0.0439177
"software system"	0.0438912
"railway system"	0.0437596
"shareholder value"	0.0437532
"Trans World Airlines"	0.0437407
"deficit spending"	0.0435853
"atomic energy"	0.0435641
transistor	0.0435086
"thermonuclear warhead"	0.0434725
"media property"	0.043398
"time bomb"	0.0433971
newness	0.043291
"international criminal court"	0.0432438
Epogen	0.0431798
Endostatin	0.0431305
infomercial	0.0430414
"tit for tat"	0.0429521
Optics	0.0428655
RealPlayer	0.0427796
"crossword puzzle"	0.0426854
OS/@	0.0426744
impala	0.0426149
VX	0.0426051
Igloo	0.0423812
"sailing vessel"	0.0423743
"personal relation"	0.0423734
pacemaker	0.0423029
vapor	0.0422812
SETI	0.0422546
WordPerfect	0.042142
defibrillators	0.0421283
"first points"	0.0420331
Astroturf	0.0420135
hGH	0.0420064
"special economic zone"	0.0420014
"gambling casino"	0.041981
"computer application"	0.0419456
three-tenths	0.0418006
"catalytic converter"	0.0416993
"fighter aircraft"	0.0416937
"surveillance system"	0.0416336
identifier	0.0416305
"pipe organ"	0.0415854
"environmental science"	0.0415811
"monetary system"	0.0415423
driftwood	0.041472
"life science"	0.0414661
))
("atomic bomb" (desc 7582.15) (sims
"atom bomb"	0.299573
"hydrogen bomb"	0.148994
"neutron bomb"	0.141556
"nuclear weapon"	0.125357
bomb	0.114997
"cluster bomb"	0.111243
"nuclear warhead"	0.108528
"pipe bomb"	0.106369
"car bomb"	0.105213
"hand grenade"	0.0959448
"explosive device"	0.0897725
"nuclear-powered submarine"	0.0860978
torpedo	0.0859632
firebomb	0.0855748
"test-tube baby"	0.0834739
"germ warfare"	0.0831297
"Army Air Corps"	0.0817454
"Joint Strike Fighter"	0.0814387
"nuclear explosion"	0.0813385
missile	0.0810941
warhead	0.0808137
Grenade	0.0799684
"internment camp"	0.0785128
"Delta @"	0.0779919
"combat mission"	0.0750175
"chemical warfare"	0.074904
Nuke	0.0732066
"ballistic missile"	0.0727803
spaceflight	0.0698006
Nagasaki	0.0697532
landmine	0.0695155
"land mine"	0.0686293
"booster rocket"	0.0670675
bomber	0.066373
nuclear-weapons	0.0660428
NMD	0.0655494
"rocket engine"	0.0649256
"TWA Flight @@@"	0.0649138
internment	0.0646303
"spy satellite"	0.0644948
"nerve gas"	0.0641933
supercomputer	0.0641308
"weapons system"	0.0639721
"time bomb"	0.0633718
"wind tunnel"	0.0616894
"jet plane"	0.0612104
"weapon system"	0.0609409
"telephone network"	0.0607532
polygraph	0.060679
submarine	0.0604337
"booby trap"	0.0603235
explosive	0.0600225
gulag	0.0591666
mudslide	0.0589054
Sarin	0.0587799
"poison gas"	0.0587753
"wind power"	0.0585292
"electrical device"	0.0584332
interceptor	0.0583924
"missile defense system"	0.0583518
"iron curtain"	0.0583207
laser	0.0583081
"debt market"	0.0580741
"thermonuclear warhead"	0.0578994
"surface-to-air missile"	0.0576232
canister	0.0574162
THAAD	0.0572222
"automobile industry"	0.0571863
"compact car"	0.0571709
"Multimedia Super Corridor"	0.056862
jetliner	0.0565371
bomblets	0.0564077
transistor	0.0562251
munition	0.0559869
microchip	0.0555153
X-@@	0.0554084
A@XX	0.0553145
infantryman	0.0546223
"Hurricane Hugo"	0.0545934
"integrated circuit"	0.0545755
"intercontinental ballistic missile"	0.054543
transformer	0.0544927
Atom	0.0542788
"coal gas"	0.0541652
"American plane"	0.0541408
"jet engine"	0.0535433
twister	0.0530953
biplane	0.0530034
firecracker	0.0528379
tornado	0.0527113
supercomputers	0.0527108
"computer program"	0.052561
"concentration camp"	0.0525594
"Nazi Germany"	0.0524328
Vaccine	0.0524283
"space station"	0.0523844
"written language"	0.0523568
"National Missile Defense"	0.0523515
weaponry	0.0523132
fireball	0.0522296
ordnance	0.0520203
"aircraft carrier"	0.051963
Japanese-Americans	0.0519418
gunpowder	0.0518179
"Playstation II"	0.0516979
reactor	0.0512998
"Pan Am Flight @@@"	0.0512303
"air raid"	0.0511206
"mushroom cloud"	0.0510517
warplane	0.0510473
osprey	0.050871
"highway system"	0.0506072
Hindenburg	0.0505584
"nuclear reactor"	0.0505475
dynamite	0.0504463
"prison camp"	0.0504391
"Hurricane Mitch"	0.0504
"nuclear power"	0.0503149
Typhoon	0.0501143
melanoma	0.049957
"space walk"	0.0499107
firework	0.0498798
angiostatin	0.0498
tsunami	0.0496752
B-@s	0.049463
Robot	0.0493493
ICBM	0.0492582
hydropower	0.0491328
"guided missile"	0.0488975
holocaust	0.0488187
"biological warfare"	0.0487446
"rocket launcher"	0.0486959
"air-to-air missile"	0.0486873
"defense system"	0.048567
prototype	0.0485666
"racing car"	0.0484477
"gas tank"	0.0482732
earthquake	0.0482659
hovercraft	0.048193
spacecraft	0.0481636
"artificial heart"	0.0481275
warplanes	0.0478592
Quake	0.0477148
battleship	0.047624
SETI	0.0475625
"bomb blast"	0.0472204
Auschwitz	0.0470605
protectorate	0.0469478
semiconductor	0.0467209
"microwave oven"	0.0466013
SEZs	0.046509
"landing craft"	0.0465068
microprocessor	0.0462652
"Molotov cocktail"	0.0461899
artillery	0.0459745
projectile	0.0459693
antibody	0.0458258
"Emas Index"	0.0457939
"flash flood"	0.0456276
howitzer	0.0455634
gunship	0.0454944
bombshell	0.0452695
"weather satellite"	0.0450829
windstorm	0.0450699
"radio telescope"	0.0450025
"information superhighway"	0.0449636
FT-SE	0.0449051
airliner	0.0448667
mortar	0.0448388
lifeboat	0.0446593
"wedding dress"	0.0446126
hemoglobin	0.0445594
germ	0.0444985
airstrike	0.0443917
"break of serve"	0.044339
temblor	0.0441682
"power station"	0.0440613
"powder keg"	0.0440323
"oil refinery"	0.0439079
"power unit"	0.0437292
LNG	0.0436183
cannon	0.0435383
"space program"	0.043495
cannonball	0.0432618
fighter-bombers	0.0431346
"rating system"	0.0430833
methane	0.0430774
snowstorm	0.043013
VX	0.0430102
emulator	0.042982
"fire truck"	0.0429537
"fatal accident"	0.0429349
landslide	0.0427754
"fighter aircraft"	0.0426821
"space vehicle"	0.0424999
F-@@	0.0424794
"UNIX operating system"	0.042329
radar	0.042295
"petrol bomb"	0.0422879
"about @.@ billion US dollars"	0.0422656
))
("atomic energy" (desc 2871.12) (sims
"nuclear energy"	0.194297
cryptography	0.110565
"artificial intelligence"	0.100849
"earth science"	0.0950142
"communications technology"	0.0924793
robotics	0.0865283
aviation	0.085742
biotechnology	0.0843629
"coal gas"	0.0833155
CFCs	0.0827546
"computer technology"	0.0824787
"public security"	0.081916
armament	0.0802811
forestry	0.0788358
genetics	0.0788294
"eminent domain"	0.0774879
"solar energy"	0.0757499
"life science"	0.0750354
fishery	0.0740523
"social welfare"	0.0737232
aeronautics	0.0731082
defoliant	0.0728162
nanotechnology	0.071976
"natural resource"	0.0708999
"genetic engineering"	0.0707334
metallurgy	0.070652
"public works"	0.0702303
"nuclear power"	0.0702023
agro-techniques	0.0694059
"Foreign Affairs"	0.0684521
"mineral resource"	0.0682685
counterterrorism	0.0668354
"biological science"	0.0663974
"solar power"	0.0662454
pharmaceutical	0.0660832
"germ warfare"	0.06579
"machine tool"	0.0640841
"high technology"	0.0636431
"Foreign Relations"	0.0627361
"chemical industry"	0.0611178
"radio frequency"	0.0610084
"computer application"	0.0606455
"civil defense"	0.0603379
"weapons system"	0.0601326
spaceflight	0.0601178
aquaculture	0.0599684
"export credit"	0.0598606
bioengineering	0.0596082
"Housing and Urban Development"	0.0592066
"fire control"	0.0590158
multimedia	0.058957
meteorology	0.0582705
"information science"	0.0582429
"scientific method"	0.0580445
eugenics	0.0578611
isotope	0.0577147
genomics	0.0573703
oceanography	0.0572252
petroleum	0.0568496
"coal industry"	0.0568375
"preventive medicine"	0.0564703
SEPA	0.0561993
"social service"	0.056159
"arms control"	0.0558668
weaponry	0.0558377
"computer graphics"	0.0554697
"global positioning system"	0.0552972
"family planning"	0.0549411
TMD	0.0548811
mapping	0.0547962
"Lincoln Bedroom"	0.0546846
microchip	0.054341
taxation	0.0542186
Sleepwalking	0.0542013
"NATIONAL SECURITY"	0.0538914
geophysics	0.0533779
disinvestment	0.0532481
"Nortel Networks Corp."	0.0532279
melatonin	0.0531941
nonproliferation	0.0531813
"higher education"	0.0529671
endoscope	0.0529537
Microelectronics	0.0528553
e-business	0.0527198
agronomy	0.0527019
"social science"	0.0526015
"public transit"	0.0525649
Manpower	0.0523798
"Health and Human Services"	0.0523505
geology	0.0523023
neurobiology	0.0521522
irrigation	0.0521247
petrochemical	0.0519857
sensing	0.0518916
"Jeremy Wotherspoon"	0.0518901
hydraulics	0.0517816
astrophysics	0.0517421
"building material"	0.0517291
pronoun	0.051701
"software system"	0.0515418
biogas	0.0514725
"road construction"	0.0514558
"Nile River"	0.0514476
"mass transit"	0.0514373
monies	0.0513812
"electrical device"	0.0513482
"commercial law"	0.0511769
agro-technology	0.0511295
epidemiology	0.0509847
"merchant marine"	0.0507962
Immunology	0.05073
biomass	0.050634
"broadcast media"	0.0501354
videogames	0.0498919
aquatics	0.0498179
"outer space"	0.049777
"household appliance"	0.0497408
TCM	0.0496562
radiology	0.0496241
CDMA	0.0493088
ketamine	0.0493013
andro	0.0491705
hGH	0.0491646
"medical science"	0.0490557
"applied science"	0.0489306
geriatrics	0.0488084
"wind power"	0.0487913
"molecular biology"	0.0487297
aerospace	0.0486301
"fiber optics"	0.048621
"computer science"	0.048531
Firewood	0.0485251
methane	0.048409
"Economic Development"	0.0483006
shipbuilding	0.0482924
procurement	0.0481896
"U.S. government"	0.0480687
Gaming	0.0479621
microbiology	0.0478149
"rare earth"	0.0478099
computing	0.0477457
"social insurance"	0.047645
"vocational education"	0.0473962
"electronic communication"	0.0473713
olestra	0.0472661
"alternative medicine"	0.0471571
leptin	0.0471452
"city planning"	0.0471019
"Antiquities Act"	0.0470405
usability	0.0468938
imaging	0.0468195
"Louise Arbour"	0.0467034
"electronic equipment"	0.0465585
"cellular telephone"	0.0464818
seismology	0.0463291
"liquefied petroleum gas"	0.04626
stents	0.0460958
"environmental science"	0.0460458
"computer language"	0.0459932
Encryption	0.0459567
"natural science"	0.0459226
Botany	0.0456966
NMD	0.0456424
"air power"	0.0455922
"Unit @"	0.0455865
"urban planning"	0.0455437
supercomputers	0.0453511
"land resource"	0.0452936
"state government"	0.0452884
mathematics	0.0452537
fungicide	0.0448878
"weather forecasting"	0.0448314
labour	0.044773
"private detective"	0.0447289
horticulture	0.0447104
CAD	0.0447073
nuclear-weapons	0.0443636
"communications equipment"	0.0443369
"Internal Affairs"	0.0442165
"sign language"	0.0442154
wetlands	0.0442081
"automatic teller machine"	0.0441477
refining	0.0441224
"Public Health"	0.0441159
notary	0.0441066
"electric power"	0.0440867
"jet plane"	0.0440437
"R&AMP;D"	0.0440431
"military training"	0.0438774
interferon	0.0437427
"social assistance"	0.0437034
archaeology	0.0436983
photocopier	0.0436179
anesthesia	0.0436149
"atom bomb"	0.0435641
microcomputer	0.0435512
acupuncture	0.0435462
"labor resource"	0.043461
"Trade and Industry"	0.0433601
"Elvis Stojko"	0.0432555
))
("Atomic Energy Commission" (desc 1373.71) (sims
"House Budget Committee"	0.157614
"Rules Committee"	0.142652
"Senate Budget Committee"	0.139388
"Banking Committee"	0.13482
"House International Relations Committee"	0.13461
"planning commission"	0.132505
"National Republican Congressional Committee"	0.131054
"Health and Welfare Ministry"	0.128483
"Defense Agency"	0.128148
"Senate Banking Committee"	0.126164
"Appropriations Committee"	0.125264
"House Commerce Committee"	0.122648
"Civil Aviation Authority"	0.12088
CIRC	0.12016
"House Appropriations Committee"	0.118768
"National Economic Council"	0.115956
"National Transportation Safety Board"	0.115156
KPA	0.114226
"Nevada Athletic Commission"	0.113938
"Commerce Committee"	0.11259
"Kosovo Verification Mission"	0.109513
"Foreign Relations Committee"	0.109286
"Health Care Financing Administration"	0.108815
"Housing Authority"	0.10843
"Senate Commerce Committee"	0.107326
NSC	0.105271
"Ways and Means Committee"	0.103584
"Human Rights Commission"	0.102689
AmCham	0.102456
"ethics committee"	0.101634
"Democratic Senatorial Campaign Committee"	0.101242
CNTA	0.101115
"Commerce Ministry"	0.100731
"Senate Appropriations Committee"	0.10027
CSE	0.100176
"Industry Ministry"	0.099223
"Political Department"	0.0988596
DLC	0.0988162
"House Banking Committee"	0.0986474
PB	0.0979229
"Business Council"	0.0978727
INEC	0.097683
"Cuban American National Foundation"	0.0973548
"National Highway Traffic Safety Administration"	0.0973122
"Board of Supervisors"	0.0972587
"Export-Import Bank"	0.0966634
"Public Service Commission"	0.0949498
"Nevada State Athletic Commission"	0.0949307
"Transport Ministry"	0.0942045
"Senate Governmental Affairs Committee"	0.094128
PECC	0.0935999
"House Government Reform Committee"	0.0930687
"Ministry of International Trade and Industry"	0.0927066
"Congressional Black Caucus"	0.0926888
"National Defense Commission"	0.0920578
"Organizing Committee"	0.0915833
"Senate Judiciary Committee"	0.0913245
Totalfina	0.091181
Bulog	0.0909879
Mossad	0.0907859
CMAG	0.0907571
"International Rescue Committee"	0.0906477
Caritas	0.0905737
"Senate Armed Services Committee"	0.0902422
JMC	0.0898871
"Central Election Commission"	0.0895368
ITC	0.0884989
"Financial Supervisory Agency"	0.0884388
ICA	0.0882125
SFC	0.0880605
IEC	0.0874286
"Consumer Product Safety Commission"	0.0871061
UNMOVIC	0.0870194
taskforce	0.0868575
NRM	0.0866205
Eximbank	0.0863351
YankeeNets	0.0861863
"Independent National Electoral Commission"	0.0860955
CBI	0.0858963
NEA	0.0854059
UNAIDS	0.0847809
"Universal Pictures"	0.0845014
"Airport Authority"	0.0843433
"Texas Department of Public Safety"	0.0837603
"Senate Finance Committee"	0.0834578
"Shin Bet"	0.0832617
CEC	0.0832483
SPDC	0.0832068
CSRC	0.0831506
"Russian Security Council"	0.0830426
"Olympic Committee"	0.0828401
ADL	0.082638
"Israeli Foreign Ministry"	0.082595
DSE	0.0825602
"interim committee"	0.0824265
SDB	0.0821047
"Russian Space Agency"	0.0819524
"Nuclear Regulatory Commission"	0.081343
"election commission"	0.0810663
"Democratic Congressional Campaign Committee"	0.0803725
"Department of Public Health"	0.0803081
CCF	0.0797217
"Russian Communist Party"	0.0796595
NU	0.0796065
"Council of Economic Advisers"	0.0785277
"Truth Commission"	0.0784941
"House Ways and Means Committee"	0.0783964
"Federal Deposit Insurance Corp."	0.0782916
"Senate Foreign Relations Committee"	0.0782002
"Electoral Commission"	0.0780554
Nepa	0.0780126
"Meretz Party"	0.078004
"military commission"	0.0774205
NAM	0.0772977
"Nahdlatul Ulama"	0.0772349
AEC	0.0772137
"New Korea Party"	0.0765584
SDP	0.0761634
"Board of Investment"	0.0761373
"Federal Security Service"	0.0761151
"State Administration of Foreign Exchange"	0.07611
"Transparency International"	0.0760312
"Federal Trade Commission"	0.0760113
"Agriculture Ministry"	0.0756664
"Ethics Commission"	0.0749283
Yat-sen	0.0746508
KPU	0.0745126
IPU	0.0743979
NKP	0.0739199
"Democratic Leadership Council"	0.0738849
"Culture Ministry"	0.0737445
"World Vision"	0.0735213
"Salt Lake Organizing Committee"	0.0731752
"Council of State"	0.0728612
CCPIT	0.0727047
MCA	0.0724966
MPAA	0.0724199
"National Electoral Commission of Nigeria"	0.0722262
"Home Ministry"	0.0721374
"English Football Association"	0.0720852
"Securities Industry Association"	0.0720682
MII	0.0715799
"Jatiya Party"	0.0713857
G-@@	0.0713258
"Justice Ministry"	0.0712942
"Department of Public Safety"	0.0710313
GSS	0.0709634
CPSC	0.0708226
"Australian Olympic Committee"	0.0707104
"Dr. Sun Yat-Sen"	0.0705355
"High Commission"	0.0705227
PUC	0.0704948
SCLC	0.0704516
"Kenya Airways"	0.0702638
"Caribbean Community"	0.0701601
SFA	0.0698135
"Provisional Urban Council"	0.0697844
"Dhaka Stock Exchange"	0.0695749
PICC	0.0694504
"English department"	0.0694481
"Public Security Ministry"	0.0693975
"Russian Duma"	0.0693343
"Republican National Committee"	0.06933
UNRWA	0.0692418
"U.S. Treasury Department"	0.0688166
"State Seismological Bureau"	0.0685449
OCA	0.0685238
"Metropolitan Transportation Authority"	0.0683191
"PLO Executive Committee"	0.068208
"economics department"	0.0681948
"U.S. Immigration and Naturalization Service"	0.0678946
"search committee"	0.0676018
"China National Tourism Administration"	0.0675288
MCC	0.0675253
"Supreme Council"	0.0674813
PBSI	0.0674791
"Football Association"	0.0674539
RNC	0.0672859
"Commission on Elections"	0.0672002
"Golkar Party"	0.0671121
NRC	0.0670382
LIFFE	0.0667362
CITIC	0.0667251
UNAMET	0.0663161
"Palestine National Council"	0.0662953
"U.S. Export-Import Bank"	0.0662713
"Con Edison"	0.0661842
"Enron Corp."	0.0659615
NCI	0.0659407
"Palestinian National Council"	0.0658302
Wada	0.0657662
"General Committee"	0.0657395
"National Science Foundation"	0.0657246
BIA	0.0656667
FTC	0.0654835
"Hyundai Group"	0.065332
"National Tourism Administration"	0.0652965
"Self-Defense Forces"	0.0651434
"American Bar Association"	0.0651342
"General Council"	0.0647379
))
(atonement (desc 2988.4) (sims
repentance	0.169075
penance	0.156975
contrition	0.104116
forgiveness	0.0952891
redemption	0.0947324
penitence	0.0856368
conciliation	0.0791078
self-preservation	0.0785189
self-discovery	0.0778273
healing	0.0723973
absolution	0.0721916
catharsis	0.06961
salvation	0.0679931
retribution	0.0673878
gallantry	0.0655193
reckoning	0.0635326
remorse	0.0618945
papacy	0.0615902
reverence	0.0608483
payback	0.0607549
remission	0.0596049
self-interest	0.0590267
self-destruction	0.0587278
reciprocity	0.0587103
renegotiation	0.0587092
nationalization	0.0567727
appeasement	0.0565271
self-sacrifice	0.0562985
infamy	0.0552983
malice	0.0542599
electioneering	0.0526898
rejoicing	0.0519692
brinkmanship	0.0519552
accountability	0.051399
normality	0.0505232
cowardice	0.0502134
realignment	0.0500769
self-examination	0.0499913
transcendence	0.0490206
reparation	0.048886
vindication	0.0488368
"natural selection"	0.0482574
enlightenment	0.0479926
connectedness	0.0479081
paring	0.0478553
sadness	0.0477937
self-loathing	0.0477156
validation	0.0476752
self-deprecation	0.0475148
"wonder drug"	0.0462794
deliverance	0.0458376
legalization	0.0458121
self-awareness	0.0457997
scapegoat	0.0454021
apprenticeship	0.0451774
"shock therapy"	0.0451412
irresponsibility	0.0448422
exoneration	0.0447728
disgrace	0.0442452
containment	0.0440515
orgasm	0.0440415
"deja vu"	0.0438794
leniency	0.0437291
largesse	0.0436079
protectorate	0.0436075
soul-searching	0.0434108
helplessness	0.0433843
kindness	0.0428928
emulation	0.0427742
"tender offer"	0.0423876
fealty	0.0423864
self-rule	0.0420481
succor	0.0420386
reformation	0.041881
calmness	0.0418379
opprobrium	0.041764
parity	0.0417498
annulment	0.0416927
plagiarism	0.0415938
gratification	0.04135
renunciation	0.0411551
perestroika	0.041063
disloyalty	0.0407816
self-doubt	0.0405629
humility	0.0404008
bonding	0.0401918
solemnity	0.0401874
inclusiveness	0.0400026
))
(ATP (desc 5692.55) (sims
WTA	0.337872
"ATP Tour"	0.277756
"WTA Tour"	0.19938
"Hamlet Cup"	0.156705
EuroLeague	0.149778
"Hong Kong Open"	0.149469
hardcourt	0.147452
"Kremlin Cup"	0.138656
"Hopman Cup"	0.135384
"European Tour"	0.130908
"Stockholm Open"	0.129017
"Fed Cup"	0.121599
"Italian Open"	0.119751
"Big Sky Conference"	0.118767
"Japan Open"	0.118415
"South Regional"	0.118332
"Paris Open"	0.112624
"Swiss Open"	0.112262
"Acura Classic"	0.110121
"Uber Cup"	0.108644
"Federation Cup"	0.107979
"German Open"	0.107881
"Champions Cup"	0.106507
"World Championship"	0.106228
"European Cup"	0.106165
"Grand Slam Cup"	0.105071
"Canadian Open"	0.104955
"Australian Open"	0.104279
"Thomas Cup"	0.104239
LPGA	0.104179
"Copa America"	0.101792
"Libertadores Cup"	0.101051
"Maurier Open"	0.100591
"Big West"	0.0986554
"ATP Championship"	0.0968546
"U.S. Amateur"	0.0964601
"European Champions Cup"	0.0959871
"Busch Grand National"	0.0953274
"League Cup"	0.0946354
"Asian Cup"	0.0946311
NHRA	0.0936381
Maurier	0.0936021
"Funny Car"	0.0925402
"Senior PGA Tour"	0.092364
"Davis Cup"	0.0918859
PGA	0.0912282
pre-Olympic	0.0911468
"French Open"	0.090276
"National Collegiate Athletic Association"	0.0892672
snooker	0.0891032
"US Open"	0.0890849
skeet	0.0888312
Lipton	0.0883267
epee	0.0873182
"professional golf"	0.0871876
ITTF	0.086945
"European Champions League"	0.0864686
"Louis Vuitton Cup"	0.0862687
"Conference USA"	0.0856496
USTA	0.0855249
"Little League World Series"	0.0853798
"Italian Cup"	0.0847094
"Sudirman Cup"	0.0845494
three-meter	0.084485
"Dunhill Cup"	0.0844332
"West Regional"	0.0843698
badminton	0.084002
"United States Open"	0.0839745
"Big Sky"	0.0837522
"Davis Cup World Group"	0.0836151
"Nielsen Media Research"	0.0835262
"Atlantic Coast Conference"	0.0833613
"F.A Cup"	0.082273
"East Regional"	0.0814271
FIVB	0.081053
"Midwest Regional"	0.0802708
CAA	0.0801245
WBC	0.0797949
"PGA Tour"	0.0797865
"Top Fuel"	0.0797642
"Grand National"	0.0797135
backstroke	0.079654
C-USA	0.0795469
"U.S. Senior Open"	0.0789157
"table tennis"	0.0785438
"UEFA Cup"	0.078533
"Big @@"	0.0784993
men's	0.0782264
"Indy Racing League"	0.0779696
"first cup"	0.0779059
"grand slam"	0.0775894
WBA	0.0768871
"Big East"	0.0765962
"Pan Pacific"	0.0763777
BCS	0.0762077
"Chase Championships"	0.0761804
"Nations Cup"	0.0760701
"World Boxing Council"	0.0760121
"Southwest Conference"	0.075975
"Grand Prix"	0.0758838
"stroke play"	0.0758299
"Champions League"	0.0756594
"FA Cup"	0.0751219
"National Invitation Tournament"	0.0746469
"Western Athletic Conference"	0.0745237
"U.S. Open"	0.0744285
"Senior Tour"	0.0737344
pentathlon	0.0736846
nit	0.0733485
IRL	0.0732595
ACC	0.0722801
NCAA	0.0720018
"African Nations Cup"	0.0716857
IAAF	0.0716688
biathlon	0.0711765
tourney	0.0707714
"International Tennis Federation"	0.0707319
Wimbledon	0.0707279
"Euro @@@@"	0.0701765
GP	0.0697272
FIA	0.069675
volleyball	0.0694088
"Lipton Championships"	0.0690166
"Bowl Championship Series"	0.0687694
"World Group"	0.0686229
"field hockey"	0.0685812
"World League"	0.0684463
PBA	0.0683168
tennis	0.0675924
IBF	0.0673975
WAC	0.0673378
triathlon	0.0671964
slalom	0.0671558
decathlon	0.0671298
WCC	0.0670103
"LPGA Tour"	0.0669697
"Gold Cup"	0.066714
"Pan Ams"	0.0666963
A.L.	0.0664916
freestyle	0.0663466
CONCACAF	0.0663438
"ski jumping"	0.0658687
"Winston Cup"	0.0658491
"match play"	0.0657191
under-@@	0.0648918
"shot put"	0.0646724
Bundesliga	0.0645639
"hammer throw"	0.0644612
"figure skating"	0.0643422
Giro	0.0640883
luge	0.0640117
"first tour"	0.063869
"Busch Series"	0.0637007
"Championship Auto Racing Teams"	0.063072
"Division @"	0.0630078
"ski jump"	0.0626032
"ice hockey"	0.0625983
"Western Conference"	0.0625765
flyweight	0.062551
"second tour"	0.0621528
constructor	0.0619538
breaststroke	0.0618944
"cross country"	0.061712
"College World Series"	0.0610989
"European Championship"	0.0608628
"NASCAR Winston Cup"	0.0607122
"won four"	0.0606652
"Italian League"	0.0604557
"NFC East"	0.0602685
squash	0.0601839
"World Team Cup"	0.0600335
bantamweight	0.0600052
"water polo"	0.0596747
FIBA	0.0596364
halfpipe	0.0595362
cycling	0.0594212
over-@@	0.0594038
WNBA	0.0593545
RPI	0.0589336
"Baseball America"	0.0586973
Pacific-@@	0.0585871
"round robin"	0.0585087
"Cup Winners Cup"	0.0583369
"Solheim Cup"	0.0582957
"Division I-AA"	0.0582373
"AFC West"	0.0580039
cruiserweight	0.0579022
"England Club"	0.0577456
"won six"	0.0571377
handball	0.0569101
"Eastern Division"	0.0567903
"MLS Cup"	0.0566395
"Sporting News"	0.0565128
"Asian Games"	0.0565074
"Loch Lomond"	0.0564984
hardcourts	0.0564201
"American League West"	0.056256
"junior lightweight"	0.0562003
"International Boxing Federation"	0.0560313
Asiad	0.0558368
))
("ATP Championship" (desc 2611.3) (sims
"ATP Tour World Championship"	0.344
"Kremlin Cup"	0.323324
"German Open"	0.299795
"Maurier Open"	0.299718
"Paris Open"	0.296898
"Hamlet Cup"	0.279914
"Grand Slam Cup"	0.270069
"Stockholm Open"	0.26619
"Italian Open"	0.257653
"Lipton Championships"	0.254044
"Swiss Open"	0.239373
"Hong Kong Open"	0.235756
"World Team Cup"	0.227911
"Acura Classic"	0.21558
"Champions Cup"	0.198955
"Chase Championships"	0.188501
"Libertadores Cup"	0.18676
"Louis Vuitton Cup"	0.173812
"Hopman Cup"	0.172626
"Canadian Open"	0.171741
"National Invitation Tournament"	0.17164
Maurier	0.171337
"Federation Cup"	0.167152
"Australian Open"	0.164471
"Japan Open"	0.153713
"European Champions Cup"	0.153563
"Midwest Regional"	0.147039
"Asian Cup"	0.146881
"Wimbledon Tennis Championships"	0.144089
"European Championship"	0.135924
"European Champions League"	0.126361
"South Regional"	0.125097
"Thomas Cup"	0.125022
"European Championships"	0.124935
"Confederations Cup"	0.124138
"World Table Tennis Championships"	0.123848
"Uber Cup"	0.123498
"Davis Cup World Group"	0.123492
"African Nations Cup"	0.122764
"Expo @@@@"	0.120869
"Little League World Series"	0.118216
"Italian Cup"	0.117738
"League Cup"	0.116645
"French Open"	0.116389
"Western Open"	0.11508
"West Regional"	0.112679
"Copa America"	0.112525
"African Cup"	0.110304
"Fed Cup"	0.10948
"Roland Garros"	0.107563
"ATP Tour"	0.105749
"World Basketball Championship"	0.10221
"Big Sky Conference"	0.101537
"English Football Association"	0.101431
"F.A Cup"	0.101284
"U.S. Amateur"	0.100966
"U.S. Senior Open"	0.100554
Eastbourne	0.0989112
ATP	0.0968546
hardcourt	0.0939767
"European Cup"	0.0938805
"Euro @@@@"	0.093376
"NEC Invitational"	0.0933252
"UEFA Cup"	0.0913873
"Champions League"	0.0910324
"Memorial Tournament"	0.0909932
"Mastercard Colonial"	0.0907141
"World Group"	0.0897896
"Big West"	0.0896891
"U.S. Open"	0.0886152
CONCACAF	0.087864
tourney	0.0869204
"Volleyball Grand Prix"	0.0861115
WTA	0.0849263
"East Regional"	0.0845224
EuroLeague	0.084404
scull	0.0843895
"WTA Tour"	0.0840211
"Indian Wells"	0.0830972
"US Open"	0.081875
"Davis Cup"	0.0818658
epee	0.081284
"field hockey"	0.0810031
nit	0.0804574
"Phoenix Open"	0.0799672
"Southwest Conference"	0.0798289
"Maurier Classic"	0.0787987
"Basketball Championship"	0.0785968
"Buick Classic"	0.0780314
"Loch Lomond"	0.0766592
Wimbledon	0.0765422
Lipton	0.0764991
"Sudirman Cup"	0.0764929
Halle	0.0761428
Basle	0.0758533
"FA Cup"	0.0750536
WCC	0.0746051
"United States Open"	0.0734186
"Buick Invitational"	0.0732311
"Cup Winners Cup"	0.0729349
"Asian Winter Games"	0.0727507
backstroke	0.0713923
GP	0.0711354
"World University Games"	0.0710459
Filderstadt	0.07053
"ice hockey"	0.0696892
"Dunhill Cup"	0.0696397
"International Badminton Federation"	0.0679983
"European Swimming Championships"	0.0677129
"Big East"	0.0674592
Kitzbuehel	0.0671131
"Tour Championship"	0.0665669
best-of-@	0.0661908
"Home Run Derby"	0.0658154
Eurobond	0.0656867
Asiad	0.0655151
Leipzig	0.0653791
du	0.0652808
PALERMO	0.0652124
"Atlanta Olympic Games"	0.0648476
"Conference USA"	0.0645872
"U. S.dollars"	0.0645408
"Volleyball Championship"	0.0644662
A-@@	0.0639669
"stroke play"	0.0639641
breaststroke	0.0636295
"World League"	0.0632366
"Nations Cup"	0.0631383
"Pan American Games"	0.0629579
"Division @"	0.0625061
"World Athletics Championships"	0.0618863
"Gold Cup"	0.0618079
"Big Sky"	0.0615346
"Western Athletic Conference"	0.0611757
"World Championship"	0.0609028
"Cinergy Field"	0.060888
"first cup"	0.0605318
"World Weightlifting Championships"	0.0604943
Xenia	0.0604247
"Philippine Stock Exchange"	0.0600931
"World Swimming Championships"	0.0595638
"College World Series"	0.0592993
"Asian Games"	0.0590594
three-meter	0.0587111
snooker	0.0586483
"Atlantic Coast Conference"	0.058329
"East Asian Games"	0.0580173
Stuttgart	0.0575883
freestyle	0.0574824
"MLS Cup"	0.0574591
Linz	0.0573665
C-USA	0.0570257
Essen	0.0568004
"Nissan Open"	0.0567384
"match play"	0.0566809
"PGA Championship"	0.0563222
"Sydney Olympics"	0.0563198
volleyball	0.0562901
"round robin"	0.0559294
"Goodwill Games"	0.0555251
"Commonwealth Games"	0.0553848
Carlsbad	0.0553027
"Southeast Asian Games"	0.0549739
"Melbourne Park"	0.0546311
"Key Biscayne"	0.0544884
kwanza	0.0541022
"aircraft order"	0.0540047
"Chinese Basketball League"	0.0536626
"water polo"	0.0536596
badminton	0.0534636
"World Figure Skating Championships"	0.0532907
"World Championships"	0.0531538
CAA	0.0525513
springboard	0.0519026
"Wright-Patterson Air Force Base"	0.0517765
"U.S. Women"	0.0512216
"National Collegiate Athletic Association"	0.0511946
Kettering	0.0508009
"NCAA Tournament"	0.0507489
"London Metal Exchange"	0.0507307
under-@@	0.0502184
"Continental Airlines Arena"	0.0501086
"Gold Coast"	0.0500279
"Monte Carlo"	0.0496585
"high jump"	0.0496074
"University Hospital"	0.0494953
"basketball league"	0.049411
"margin call"	0.0493273
Hanover	0.0489515
"Stade Velodrome"	0.0485566
"Hang Seng China-Affiliated Corporations Index"	0.0485065
ACC	0.0484473
sq.km	0.0482191
"Sydney Olympic Games"	0.048077
medley	0.0480337
Hobart	0.0479601
"National Tennis Center"	0.0477897
billiards	0.0477619
"Cleveland Clinic"	0.0472827
"long jump"	0.0470944
))
("ATP Tour" (desc 10315) (sims
"WTA Tour"	0.331874
ATP	0.277756
WTA	0.194397
hardcourt	0.163931
"Hamlet Cup"	0.163728
"Hong Kong Open"	0.159687
"Stockholm Open"	0.157002
"Swiss Open"	0.152956
"European Tour"	0.140373
"Kremlin Cup"	0.13952
"Italian Open"	0.135526
"PGA Tour"	0.13141
"Senior Tour"	0.128742
"Senior PGA Tour"	0.127533
"Paris Open"	0.127084
"LPGA Tour"	0.125566
"Hopman Cup"	0.125099
"Grand Slam Cup"	0.123964
"Japan Open"	0.121959
"Fed Cup"	0.120021
EuroLeague	0.119362
"Champions Cup"	0.116602
"German Open"	0.112658
"European Cup"	0.108892
"Maurier Open"	0.10759
"ATP Championship"	0.105749
"Thomas Cup"	0.104186
"League Cup"	0.103963
"South Regional"	0.101994
LPGA	0.101644
"National Invitation Tournament"	0.100026
"Australian Open"	0.0974182
"Canadian Open"	0.0968805
"World Team Cup"	0.096358
"Asian Cup"	0.0962437
"Lipton Championships"	0.095679
"Copa America"	0.0951192
"ATP Tour World Championship"	0.092279
"Libertadores Cup"	0.0899132
"Acura Classic"	0.0897082
"Grand Prix"	0.0895259
"European Champions Cup"	0.0893209
"Federation Cup"	0.08929
"Davis Cup"	0.0892291
"Dunhill Cup"	0.0882427
"US Open"	0.0879377
"Big Sky Conference"	0.0873597
"Uber Cup"	0.0866062
"U.S. Senior Open"	0.0855423
PGA	0.0851807
"Nike Tour"	0.0850825
"Little League World Series"	0.0850146
"Chase Championships"	0.0836719
"French Open"	0.0813893
"African Nations Cup"	0.0812347
"UEFA Cup"	0.0806937
"Davis Cup World Group"	0.0798218
tourney	0.0794792
"International Badminton Federation"	0.0791634
"Big Sky"	0.0790964
epee	0.0790503
ranking	0.0790368
"field hockey"	0.078945
Wimbledon	0.0789314
"Louis Vuitton Cup"	0.0786046
badminton	0.0780818
"F.A Cup"	0.0774482
"Big West"	0.0772692
Maurier	0.0769301
"round robin"	0.0768389
"grand slam"	0.0766299
NHRA	0.0752285
"Big @@"	0.0751324
"FA Cup"	0.0750434
"U.S. Open"	0.074905
"World Championship"	0.074775
"Sudirman Cup"	0.0744537
men's	0.0738029
"Midwest Regional"	0.0735529
Bundesliga	0.0733132
tennis	0.0731446
"first cup"	0.0728518
"World Group"	0.0727921
skeet	0.0727414
"Southwest Conference"	0.0721209
"Euro @@@@"	0.0720062
WNBA	0.0718199
"Confederations Cup"	0.0717953
"European Champions League"	0.071664
"Gold Cup"	0.0711253
hardcourts	0.0708621
"Champions League"	0.070828
"Pan Pacific"	0.0702885
"first tour"	0.0699192
WCC	0.0693794
clay	0.0687879
"Big East"	0.0685393
backstroke	0.0684813
under-@@	0.0683338
ACC	0.068207
scull	0.0681412
slalom	0.0679994
flyweight	0.0675677
"National Collegiate Athletic Association"	0.0671
IRL	0.0668919
NCAA	0.0668193
Lipton	0.0667456
"Asian Games"	0.066718
"table tennis"	0.0665065
triathlon	0.0663439
"European Championship"	0.0656043
CAA	0.065474
CONCACAF	0.0651907
"World League"	0.0650701
"U.S. Amateur"	0.0650066
"professional golf"	0.0648645
"Western Conference"	0.0644553
C-USA	0.0642721
"Western Athletic Conference"	0.064136
"African Cup"	0.0640063
"World Cup"	0.0639713
"Eastern Conference"	0.0637631
FIFA	0.0636324
"West Regional"	0.0636023
best-of-@	0.0635949
"Italian Cup"	0.0634933
FIVB	0.0634902
volleyball	0.0629956
WBC	0.0627801
"Boston Marathon"	0.0627292
"ice hockey"	0.0626168
inaugural	0.0625485
three-meter	0.0625318
"Atlantic Coast Conference"	0.0610328
marathon	0.0608015
breaststroke	0.0607823
"long jump"	0.0606585
"stroke play"	0.0604296
"Busch Grand National"	0.0601058
"basketball league"	0.0600016
ITTF	0.0596936
nit	0.0596555
"ski jumping"	0.0596455
"water polo"	0.0596051
"College World Series"	0.0595088
squash	0.0594309
"track and field"	0.059423
singles	0.0593715
"Winston Cup"	0.0591114
"England Club"	0.0590323
"United States Open"	0.0589987
"East Regional"	0.0589785
biathlon	0.0586887
"Hearst Corporation"	0.0585998
"second match point"	0.0585302
"Conference USA"	0.0585022
"NFC East"	0.0584902
"World Boxing Council"	0.0584675
"won six"	0.058173
"Central Division"	0.0581241
KPU	0.0578512
WAC	0.0577087
"Championship Auto Racing Teams"	0.0573907
"World University Games"	0.057321
"Centre Court"	0.0572493
bantamweight	0.0572105
"Funny Car"	0.0569343
"Southeastern Conference"	0.0568213
Pacific-@@	0.0568053
"Bowl Championship Series"	0.0567164
USTA	0.0564195
"Indy Racing League"	0.0563114
"British Open"	0.0562438
pentathlon	0.0562327
"Pan American Games"	0.0560742
"won one"	0.0559751
"New York City Marathon"	0.0557978
medley	0.0557773
PBA	0.0557378
"Tour Championship"	0.0554832
"junior lightweight"	0.055172
GP	0.0548973
Asiad	0.054804
freestyle	0.0547758
snooker	0.0547123
"won nine"	0.0545037
decathlon	0.054481
"Court @"	0.0544622
"NCAA Tournament"	0.054386
ml	0.0543414
circuit	0.0541222
"Nations Cup"	0.0540077
"PGA Championship"	0.054006
IAAF	0.0538498
CWS	0.0537706
ITF	0.0537085
springboard	0.0535221
"Italian League"	0.05337
Masters	0.0533493
"National Basketball Association"	0.0533492
))
("ATP Tour World Championship" (desc 1714.64) (sims
"ATP Championship"	0.344
"Grand Slam Cup"	0.255583
"Expo @@@@"	0.21209
"Chase Championships"	0.211179
"Kremlin Cup"	0.18826
"Lipton Championships"	0.18698
"German Open"	0.171288
"World Team Cup"	0.167582
"National Invitation Tournament"	0.165627
"Swiss Open"	0.16421
"Italian Open"	0.16315
"Stockholm Open"	0.157758
"Paris Open"	0.145408
"Louis Vuitton Cup"	0.140594
"Hamlet Cup"	0.136613
"World Table Tennis Championships"	0.132737
"Champions Cup"	0.131
"Hong Kong Open"	0.129888
"European Championships"	0.12222
"Libertadores Cup"	0.121192
"World Basketball Championship"	0.117512
"Maurier Open"	0.117417
"Japanese Grand Prix"	0.117169
"Italian Cup"	0.112434
"Basketball Championship"	0.106385
"Confederations Cup"	0.105336
"NAPA @@@"	0.104797
"Midwest Regional"	0.104119
"Thomas Cup"	0.103455
"Acura Classic"	0.103194
"Australian Open"	0.102118
Basle	0.0988411
"Volleyball Grand Prix"	0.0971122
"Little League World Series"	0.0958773
"Canadian Open"	0.0956148
"Asian Cup"	0.0952216
"African Nations Cup"	0.094708
"ATP Tour"	0.092279
"African Cup"	0.0906334
"Wimbledon Tennis Championships"	0.0896282
"League Cup"	0.0895767
"English Football Association"	0.0892687
"Copa America"	0.0886528
"F.A Cup"	0.0864961
"European Swimming Championships"	0.0842058
"Federation Cup"	0.0830982
"French Open"	0.0819354
Lahti	0.0785767
"World Championships"	0.0783398
"European Champions Cup"	0.0776659
"starting line-up"	0.0775741
Kitzbuehel	0.0770338
"Maurier Classic"	0.0764578
"Atlanta Olympic Games"	0.0764543
"Japan Open"	0.0764086
Highbury	0.0758691
"UEFA Cup"	0.0752713
"U.S. Amateur"	0.0742493
"Nations Cup"	0.0737461
"Champions League"	0.0709244
"Sydney Olympics"	0.0706396
"Uber Cup"	0.0701723
"French Grand Prix"	0.0701599
"South Regional"	0.0696977
"East Asian Games"	0.06884
Trondheim	0.0686418
"Davis Cup"	0.0685414
"Tour Championship"	0.0682225
Gelsenkirchen	0.0680448
"Indian Wells"	0.0679723
"World Athletics Championships"	0.0667181
"Group A."	0.0655042
"World University Games"	0.0648261
"European Cup"	0.0647323
"St Petersburg"	0.0639039
Hakuba	0.0636242
"Davis Cup World Group"	0.0635482
breaststroke	0.0632112
"World Cycling Championships"	0.0629132
"MLS Cup"	0.0627265
Filderstadt	0.0621223
"Dartmouth College"	0.0615296
Imola	0.0614754
tourney	0.0613737
"Melbourne Park"	0.0613528
"Nissan Open"	0.0612973
"skiing race"	0.0609909
Halle	0.0608932
Maribor	0.0608531
scull	0.060852
"track event"	0.0605367
"European Championship"	0.0594784
"Sydney Olympic Games"	0.0594104
"NCAA Tournament"	0.0588107
"Roland Garros"	0.0588034
"Super Bowl XXXIV"	0.0587957
"European Champions League"	0.0583935
"U.S. Senior Open"	0.0583365
Dunedin	0.0580247
"Group B."	0.057907
Leipzig	0.0569193
"Gold Cup"	0.0569172
Eastbourne	0.0567118
"Summer Olympics"	0.056613
"music school"	0.0565741
"World Group"	0.0564848
"basketball league"	0.0564619
"Lake Louise"	0.0562834
backstroke	0.0555385
"San Sebastian"	0.0553147
Sestriere	0.0553
Lillehammer	0.0551303
nit	0.0550925
"Turkish Daily News"	0.0550594
Madras	0.0549483
Linz	0.0548781
"US Open"	0.0547899
"Sudirman Cup"	0.0547285
"London Marathon"	0.0545457
Bremen	0.0545289
"World Weightlifting Championships"	0.0544391
"Miami Fusion"	0.0543565
Innsbruck	0.0539152
"FA Cup"	0.0538963
"College World Series"	0.0533788
"National Games"	0.0532997
"Hopman Cup"	0.0532438
"Volleyball Championship"	0.0530601
mid-night	0.0526019
Heerenveen	0.0519661
"Key Biscayne"	0.051962
"New York City Marathon"	0.0512596
"Arkansas Derby"	0.0509787
PALERMO	0.0509516
Chamonix	0.0508536
"World Swimming Championships"	0.0504566
"Mazari Sharif"	0.050419
Bormio	0.0503518
"Melbourne Cricket Ground"	0.0497898
Maurier	0.049786
"Euro @@@@"	0.0497757
Super-G	0.0496372
"National Tennis Center"	0.0494197
physicals	0.0492638
"Russian Yevgeny Kafelnikov"	0.0490105
"West Regional"	0.0488838
"first pole"	0.0478836
Langkawi	0.0477981
"Western Conference"	0.0477582
kwanza	0.0476833
"Gator Bowl"	0.0476144
"Villa Park"	0.0473417
"Asian Winter Games"	0.047313
"Cotton Bowl"	0.0471697
"semi- finals"	0.0471436
regionals	0.0470909
"World Environment Day"	0.0470347
ATP	0.0457434
Hobart	0.0456625
"Atlanta Games"	0.0453123
faceoffs	0.0451699
"Holiday Bowl"	0.0450866
Stuttgart	0.0450191
regatta	0.0449473
"sugar bowl"	0.044843
"Summer Olympic Games"	0.0447575
"University Hospital"	0.0446106
CONCACAF	0.0445588
U.	0.0442148
"National League Championship Series"	0.044151
"San Bernardino"	0.0441056
Vladikavkaz	0.0439657
Engelberg	0.0438134
"State Bank of Pakistan"	0.0435348
"American League Championship Series"	0.0434952
Ipoh	0.0432692
NCAAs	0.0430856
decider	0.0429351
"field hockey"	0.0427315
Racak	0.0424805
"Monmouth Park"	0.0424046
Kilinochchi	0.042249
"Buick Classic"	0.0422356
"Anatolia News Agency"	0.0420149
"Fed Cup"	0.0419776
Antwerp	0.0418597
"first point"	0.0416544
"Zimbabwe News Agency"	0.0416463
"Cup Winners Cup"	0.0412703
"ice hockey"	0.0410883
Pattaya	0.0409531
Suzuka	0.0406297
"International Badminton Federation"	0.0405871
Foxboro	0.0405579
Superdome	0.0405167
"Bandar Seri Begawan"	0.0401034
Lugano	0.0400691
))
(atrium (desc 8381.8) (sims
"dining room"	0.110131
terrace	0.106378
rotunda	0.106012
ballroom	0.105683
lobby	0.104166
courtyard	0.104011
skylight	0.0952116
"reception room"	0.0934856
foyer	0.0928804
balcony	0.0918826
auditorium	0.0911334
"clock tower"	0.0904372
staircase	0.0886909
pavilion	0.0886552
promenade	0.0884986
facade	0.0884414
"dining area"	0.0875401
walk-up	0.0866724
Dome	0.0855617
hallway	0.0853949
Stairway	0.0852752
"exhibition hall"	0.0844221
patio	0.0830103
"office building"	0.082835
stairwell	0.082135
porch	0.0820984
Tower	0.0820591
edifice	0.0817532
"conference room"	0.0815723
"family room"	0.0807344
elevator	0.0805346
garage	0.0805333
penthouse	0.0782337
veranda	0.0781955
plaza	0.0779122
gallery	0.0776602
"living room"	0.0770689
chapel	0.0764874
conservatory	0.0747303
entrance	0.0739487
"display case"	0.0735341
lounge	0.0734679
arch	0.0729331
"apartment building"	0.0724327
concourse	0.0714148
staterooms	0.0712481
fountain	0.0711839
arcade	0.0708529
bathroom	0.0706463
"apartment house"	0.0695683
treehouse	0.069422
entryway	0.0693568
basement	0.0689611
fireplace	0.0680938
"game room"	0.0680569
exterior	0.0676401
gymnasium	0.0676253
cupola	0.0674986
ceiling	0.067307
"gift shop"	0.0667592
skyscraper	0.0663935
cafeteria	0.0653364
"swimming pool"	0.0652056
bedroom	0.065159
parlor	0.0650567
loft	0.0640176
"recreation room"	0.0639229
"shower stall"	0.0637931
"assembly hall"	0.0633388
walkway	0.0632996
"picture window"	0.0632148
doorway	0.0632027
amphitheater	0.0629251
library	0.0627597
pyramid	0.0625576
deck	0.0625425
"shopping center"	0.0618869
"master bedroom"	0.0614948
annex	0.0614584
archway	0.0614378
mezzanine	0.0607274
"town house"	0.0606973
wainscoting	0.0604981
portico	0.0603912
"domed stadium"	0.0603709
gazebo	0.0596304
kitchen	0.0592309
"concert hall"	0.0592155
planetarium	0.0589746
"Eiffel Tower"	0.0589062
corridor	0.0583995
alcove	0.058284
high-rise	0.0582238
tile	0.0580886
turret	0.0579449
chimney	0.0579294
cubicle	0.057844
chandelier	0.0577962
"reading room"	0.0574828
"East Room"	0.0573768
"shopping mall"	0.0572171
"tennis court"	0.0569226
"movie theater"	0.05684
"waiting room"	0.0568368
sculpture	0.0568031
minaret	0.0561756
waterfall	0.0558027
"skating rink"	0.0556279
"parking lot"	0.0556248
cafe	0.0555729
suite	0.0555248
dormitory	0.0555197
"row house"	0.0552255
Warehouse	0.054992
passageway	0.0541228
"office block"	0.0539827
"entertainment center"	0.0536284
limestone	0.0526789
brownstone	0.05262
gym	0.0526068
"supper club"	0.0522308
steeple	0.0520476
"first floor"	0.0519469
awning	0.0517692
"tile roof"	0.0514492
enclosure	0.05112
chamber	0.0509461
"wine cellar"	0.050535
paneling	0.0505238
Esplanade	0.0504281
storefront	0.0502388
aquarium	0.0501627
"football stadium"	0.0500923
marble	0.0496536
spire	0.0495903
"pipe organ"	0.0495701
vestibule	0.0495343
Villa	0.049389
statue	0.0493622
"operating room"	0.0492152
sanctuary	0.0492054
pedestal	0.0490406
terminal	0.0490158
tenement	0.0488435
lawn	0.0487677
mosaic	0.0487298
showroom	0.0486494
"ground floor"	0.0486474
restroom	0.0483912
"dance hall"	0.0482936
armoire	0.0482263
"front porch"	0.0481588
superstructure	0.0479476
mall	0.0478165
"control room"	0.0477329
balustrade	0.0477222
townhouse	0.047663
"rest room"	0.0474637
hangar	0.0473935
rooftop	0.0473877
cellblock	0.0473537
pergola	0.0471456
"stained glass"	0.047121
cistern	0.0471045
pillar	0.0470402
"sports arena"	0.0469399
salon	0.0469322
outhouse	0.0468712
"coffee shop"	0.0461527
bathtub	0.0460563
playroom	0.0460361
molding	0.0459261
"front entrance"	0.0458688
scaffold	0.0458295
Crypt	0.0458154
greenhouse	0.0457384
Cabana	0.0456982
brick	0.0456082
"art gallery"	0.0455826
"basketball court"	0.0455658
sauna	0.0454879
pantry	0.0454172
"opera house"	0.0453799
dorm	0.0453661
"coffee bar"	0.0453096
cabin	0.0452947
"stained-glass window"	0.0452338
cylinder	0.0451723
Cathedral	0.0450782
"tea house"	0.0447399
kiosk	0.0446042
barn	0.0444386
condominium	0.0443875
silo	0.0443601
WINDOWSILL	0.0443304
bookcase	0.0443086
tub	0.0443032
"pool table"	0.0442929
cottage	0.0442671
"press box"	0.0441612
))
(atrocity (desc 44182.5) (sims
"war crime"	0.25921
massacre	0.22158
genocide	0.215275
brutality	0.203877
abuse	0.197426
killing	0.190693
crime	0.17344
cleansing	0.166288
aggression	0.165649
torture	0.161117
rape	0.154753
violence	0.154642
persecution	0.15313
violation	0.148773
repression	0.148212
kidnapping	0.145876
wrongdoing	0.145408
bombing	0.144426
attack	0.142404
murder	0.13923
slaughter	0.136518
"mass murder"	0.133895
abduction	0.132442
bloodshed	0.131855
terror	0.128878
act	0.128334
assault	0.125608
looting	0.124842
harassment	0.122505
misconduct	0.121785
terrorism	0.121457
carnage	0.119796
assassination	0.119021
tragedy	0.11849
slaying	0.118157
incident	0.117626
beating	0.116976
espionage	0.115657
destruction	0.111901
corruption	0.111081
irregularity	0.110992
injustice	0.110753
"sexual assault"	0.110532
fraud	0.10966
theft	0.109379
mistreatment	0.108762
provocation	0.108078
hijacking	0.107695
horror	0.107092
discrimination	0.106244
"military action"	0.105289
oppression	0.104989
incursion	0.104269
raid	0.10425
misdeed	0.102919
holocaust	0.101743
suffering	0.101569
barbarity	0.101307
Execution	0.100407
casualty	0.100067
shooting	0.100017
crackdown	0.0998342
reprisal	0.0997297
conduct	0.0996927
invasion	0.0992104
conspiracy	0.0988461
pogrom	0.0982638
offensive	0.0982424
cruelty	0.0978153
action	0.0976667
racism	0.0973118
riot	0.0966041
"air attack"	0.0962657
shelling	0.0958361
breach	0.095673
"air raid"	0.0953882
robbery	0.0944269
catastrophe	0.0936408
arson	0.0933058
involvement	0.0931053
intimidation	0.0922068
conflict	0.0917582
disappearance	0.0916715
activity	0.0915826
"bomb blast"	0.0914112
ambush	0.0913993
unrest	0.0913484
devastation	0.0907343
scandal	0.0906746
Death	0.0903554
transgression	0.0903456
sin	0.0902313
expulsion	0.0898302
bribery	0.0896029
disaster	0.0894809
misuse	0.0892535
failure	0.0891468
"corruption scandal"	0.0890178
"child abuse"	0.088749
fighting	0.088481
"sexual harassment"	0.0882029
mutiny	0.0873287
war	0.0871765
hardship	0.0862246
"election fraud"	0.0859032
"money laundering"	0.0859
cover-up	0.0855322
purge	0.0849717
accident	0.0848437
arrest	0.0844483
behavior	0.0840501
occupation	0.0838306
spying	0.0837412
"insider trading"	0.0835276
mutilation	0.0834931
escalation	0.0831829
mismanagement	0.083135
"military campaign"	0.0827258
homicide	0.0823988
outbreak	0.0820613
rampage	0.0819323
embezzlement	0.0815943
impropriety	0.0812862
barbarism	0.0810387
tactic	0.0804577
vandalism	0.0803464
perjury	0.0802287
bombardment	0.0801139
evil	0.0800926
lapse	0.0794909
allegation	0.0793734
slavery	0.0786785
extortion	0.0782067
airstrikes	0.0781436
mayhem	0.0780129
graft	0.0779023
"armed robbery"	0.0773225
"Nanjing Massacre"	0.077258
maltreatment	0.0771643
strike	0.0769051
clash	0.0766342
rioting	0.0765921
smuggling	0.0763127
complicity	0.0762102
detention	0.076191
"coup attempt"	0.0761581
hostility	0.076027
"drug trafficking"	0.0759833
hostage-taking	0.0758308
suicide	0.0756025
explosion	0.075265
sabotage	0.0747042
lynching	0.0746644
lawlessness	0.0746617
bloodletting	0.0745977
strife	0.0743441
extermination	0.074228
negligence	0.0741838
civilian	0.0740816
treason	0.0740386
obstruction	0.0740291
mistake	0.0739936
deed	0.0731436
molestation	0.0730815
threat	0.0729428
scam	0.0728955
leak	0.0725676
"tax evasion"	0.0725544
accusation	0.0725075
dumping	0.0723021
humiliation	0.0722147
"war criminal"	0.0721993
break-in	0.0721527
coercion	0.072073
intervention	0.0717651
deportation	0.0716838
infringement	0.0711432
inhumanity	0.0709922
adultery	0.0708675
neglect	0.0707049
trafficking	0.0706891
incitement	0.0704002
infiltration	0.0703898
blunder	0.0703876
situation	0.070263
coup	0.0702346
uprising	0.0701391
crash	0.0700888
burglary	0.0700476
coverup	0.0699331
misery	0.0698635
epidemic	0.0698101
cataclysm	0.0697889
disturbance	0.0697346
internment	0.0694098
butchery	0.0692287
instability	0.069135
spree	0.0688949
hatred	0.0688353
attempt	0.0686191
))
(atrophy (desc 1488.08) (sims
wasting	0.126265
curvature	0.113567
degeneration	0.106867
hemorrhage	0.0834098
paralysis	0.0773395
convulsion	0.0742335
contusion	0.0707753
retardation	0.0688513
deafness	0.0687861
stiffness	0.065729
stevedore	0.0627086
wastage	0.0613713
"engine failure"	0.0604497
activation	0.0588772
rigidity	0.0574036
"memory loss"	0.0569868
hernia	0.0557129
dementia	0.0554731
Soma	0.0553992
incontinence	0.0539956
malformation	0.0530171
ignominy	0.0518771
deformity	0.0517752
"dog bite"	0.0514871
atherosclerosis	0.051252
platelet	0.0511642
breakage	0.0510451
overcapacity	0.0501159
shortsightedness	0.04956
"neurological disorder"	0.0486549
Stinger	0.0480778
dislocation	0.047546
details	0.0472854
"crop failure"	0.0469732
aneurysm	0.0468436
lesion	0.0466274
"golden eagle"	0.0464975
decompression	0.0462792
enhancer	0.0459649
"blood clot"	0.0456858
corrosion	0.0456644
frostbite	0.0453959
chauvinist	0.0453882
downturns	0.0451042
urbanization	0.045019
whiplash	0.044835
discoloration	0.0445999
inflammation	0.0444404
"financial loss"	0.0437251
exertion	0.0434502
myopia	0.0426253
osteoarthritis	0.0426231
malady	0.0415686
kayaker	0.0414429
bifida	0.0412633
"heat exhaustion"	0.0410577
vertebrae	0.0409132
disfigurement	0.0404907
impairment	0.0404577
fascia	0.0403935
cataclysm	0.040361
evaporation	0.0402277
))
(attache (desc 7112.33) (sims
"military attache"	0.25104
counsellor	0.134745
diplomat	0.102518
consul	0.101296
"intelligence officer"	0.100565
counselor	0.0796648
"intelligence agent"	0.0789904
"intelligence analyst"	0.0782907
Ambassador	0.0771303
"air force officer"	0.0691402
Consul-General	0.0665418
"public defender"	0.0657215
"special agent"	0.0652518
"army officer"	0.0642813
"inspector general"	0.0635962
"high commissioner"	0.0622176
"surgeon general"	0.0621556
chaplain	0.0617307
prefect	0.061597
"Israeli Embassy"	0.0615832
ensign	0.0612124
"staff officer"	0.0609246
advisor	0.0608491
Councillor	0.0604997
"medical officer"	0.0603538
"Secretary of Defense"	0.0598179
commando	0.0597642
undersecretary	0.0597196
commandant	0.0588664
"security guard"	0.0588108
"British Embassy"	0.0585389
envoy	0.0585297
"solicitor general"	0.0581572
Ghalib	0.0579912
policemen	0.0577727
"Japanese Embassy"	0.057771
"Turkish Embassy"	0.0577338
"commanding officer"	0.0575613
Sergeant	0.0574797
Hajdari	0.0572887
"naval officer"	0.0571054
"chief of staff"	0.0570943
reservist	0.0569188
Ombudsman	0.0568058
missionary	0.0549813
"executive secretary"	0.0549197
"Galina Starovoitova"	0.054899
policeman	0.0547641
"information officer"	0.0545292
"brigadier general"	0.0526974
attorney-General	0.0526158
"general staff"	0.0520499
warden	0.0519069
infantryman	0.0517612
"patrol ship"	0.0514911
"cabinet minister"	0.0514775
consulate	0.0505241
motorcyclist	0.0503841
constable	0.0501703
"commander in chief"	0.0501257
"Igor Sergeyev"	0.0498603
operative	0.0497764
serviceman	0.0497064
informer	0.0496108
corporal	0.049553
officals	0.0495349
bailiff	0.0494951
gunboat	0.0493326
Commissar	0.0492426
"staff member"	0.0490985
soliders	0.048903
Comptroller	0.0481528
"electronics company"	0.0481233
medic	0.0481197
watchman	0.0478185
statistician	0.0477929
auditor	0.0476782
Webdale	0.0476131
"postmaster general"	0.0475969
rector	0.0475134
Yazdi	0.0474589
Lieutenant	0.0473901
servicemen	0.0472286
"Secretary of Commerce"	0.047148
"military officer"	0.0471226
"staff sergeant"	0.0471098
marshal	0.0469765
Borodin	0.0469394
"general counsel"	0.0462423
parliamentarian	0.0458233
spokesmen	0.0456757
deserter	0.0455998
"deputy director"	0.0455274
staffer	0.0455142
"lieutenant colonel"	0.0454403
treasurer	0.0453628
"diplomatic mission"	0.0452541
"government minister"	0.0451417
"enlisted man"	0.045008
Colonel	0.0447203
director-general	0.0446559
"medical examiner"	0.0446525
"wing commander"	0.0445564
"governor general"	0.0444842
"foreign service officer"	0.0442687
"Department of Trade and Industry"	0.044175
"government officials"	0.0441565
PFC	0.0440374
"transport ship"	0.0440019
superintendent	0.0439383
chauffeur	0.0438578
"minister of finance"	0.0438333
Councilor	0.0438186
"German Embassy"	0.0437641
"fire chief"	0.0436185
"vice chancellor"	0.0435824
Imperatori	0.0433276
Procurator	0.0432251
policewoman	0.0432141
Wiranto	0.0430667
carmakers	0.042951
"US Embassy"	0.0429131
"drug czar"	0.0428681
"deputy foreign minister"	0.0428633
"military unit"	0.042689
"patrol boat"	0.0426144
Masire	0.0425294
"police chief"	0.0424077
dispatcher	0.042338
"state's attorney"	0.0421509
aviator	0.0420676
protectorate	0.0418823
"military police"	0.0418119
airmen	0.0417764
Malu	0.0417056
Registrar	0.0417011
CEC	0.0416091
Daigle	0.0415307
"Royal Air Force"	0.0414601
"intelligence operation"	0.0414004
"cabinet member"	0.0413729
cameraman	0.0412545
"Agency for International Development"	0.041225
peacekeeper	0.0411865
"group president"	0.0411417
Admiral	0.0410152
"Azem Hajdari"	0.0409618
cadet	0.0409356
"Wesley Clark"	0.0409188
trainee	0.0407802
"political commissar"	0.0407764
"army engineer"	0.0406668
infantrymen	0.0406458
Interpol	0.0406344
translator	0.040585
"Colin McRae"	0.0405795
"Attorney General"	0.0405633
Amin	0.0405419
spokesperson	0.0405224
"prison guard"	0.0404401
gunner	0.0402868
correspondent	0.040237
Starovoitova	0.0402328
Sadat	0.0402181
Consulate-General	0.0402157
"business leader"	0.0401308
"civil servant"	0.0401258
"foreign office"	0.0400885
"Rajiv Gandhi"	0.0400882
Garcetti	0.0400828
))
(attachment (desc 26566.2) (sims
devotion	0.0744267
loyalty	0.0663167
connection	0.0631666
allegiance	0.0623735
commitment	0.06182
message	0.0599113
email	0.0587665
closeness	0.0551484
affinity	0.0546821
aversion	0.0546182
desire	0.0527351
affection	0.0521494
intimacy	0.0513205
dedication	0.0504702
"lip service"	0.0504187
impulse	0.0501573
kinship	0.0500383
attention	0.050014
adherence	0.049914
feeling	0.0496603
device	0.0493444
trauma	0.0493354
gift	0.0490185
software	0.0489867
yearning	0.0485499
correspondence	0.0482098
resemblance	0.0474976
motivation	0.0468681
virus	0.0467959
reference	0.0467501
folder	0.0465924
"sense of responsibility"	0.0465001
button	0.0461072
fascination	0.0457838
sensitivity	0.0456816
urgency	0.0437009
determination	0.0435593
friendship	0.0435325
tool	0.0435241
reaction	0.0431992
interface	0.043058
postcard	0.042834
component	0.0428263
resonance	0.0427864
instruction	0.0427774
behavior	0.0426078
bonding	0.0425133
rapport	0.0424179
text	0.0424102
antipathy	0.0422865
password	0.0422684
prejudice	0.0422335
transmission	0.0419415
passion	0.0419284
belief	0.041809
Sacrifice	0.0416966
emotion	0.041563
meaning	0.0414717
pilgrimage	0.0413085
pleasure	0.0412065
identity	0.0411748
curiosity	0.04107
vulnerability	0.0409989
"phone call"	0.0409533
diversity	0.0408498
gratitude	0.0407604
Encryption	0.040711
server	0.0406229
nozzle	0.0405741
sameness	0.0405619
tendency	0.0404719
spreadsheet	0.0403531
"telephone call"	0.0403173
animosity	0.040208
obligation	0.0401644
greeting	0.040089
patriotism	0.0400367
))
(attack (desc 306125) (sims
bombing	0.27324
assault	0.261521
raid	0.251107
strike	0.215385
killing	0.21369
incident	0.205674
violence	0.204134
"air raid"	0.182672
massacre	0.181002
shooting	0.174577
explosion	0.174441
offensive	0.170973
threat	0.169049
airstrikes	0.166635
action	0.165252
bombardment	0.163905
aggression	0.163303
fighting	0.158061
"military action"	0.15714
crackdown	0.156577
war	0.155443
ambush	0.154424
shelling	0.153506
accident	0.152223
act	0.150923
crime	0.149145
murder	0.148343
blast	0.148234
"air attack"	0.148214
fire	0.147603
attempt	0.145388
terrorism	0.14365
kidnapping	0.143076
criticism	0.142677
assassination	0.14257
atrocity	0.142404
clash	0.141871
incursion	0.141356
invasion	0.140876
riot	0.140223
arrest	0.139241
protest	0.139152
slaying	0.136298
pressure	0.136162
crash	0.134537
activity	0.133229
"bomb blast"	0.132756
abuse	0.131009
Death	0.125846
bomb	0.12345
violation	0.123354
robbery	0.123025
accusation	0.122442
abduction	0.121328
operation	0.121185
outbreak	0.120822
conflict	0.120119
coup	0.119198
firing	0.11895
unrest	0.11866
demonstration	0.118552
confrontation	0.118439
sanction	0.118255
disaster	0.118149
harassment	0.118129
provocation	0.118054
move	0.117876
retaliation	0.117301
campaign	0.11704
beating	0.116607
rampage	0.11629
missile	0.114785
crisis	0.114135
failure	0.114042
onslaught	0.113906
earthquake	0.113106
decision	0.112321
intervention	0.112006
theft	0.111119
tragedy	0.110302
allegation	0.109135
lawsuit	0.108044
rape	0.106842
tactic	0.106722
rioting	0.106566
flood	0.10549
scandal	0.105245
battle	0.104851
reprisal	0.10468
Execution	0.104151
effort	0.104138
behavior	0.104008
barrage	0.103991
hijacking	0.103841
force	0.103758
plot	0.103621
genocide	0.103429
Quake	0.103301
counterattack	0.102881
remark	0.102327
siege	0.102126
destruction	0.101836
comment	0.101568
test	0.10086
case	0.100781
statement	0.100267
investigation	0.0991903
collapse	0.099024
looting	0.0985426
bloodshed	0.0983314
problem	0.0979544
rebellion	0.0978171
fight	0.0977813
call	0.0970569
hostility	0.0965245
loss	0.0964963
takeover	0.0964828
persecution	0.0964537
announcement	0.095334
sabotage	0.0953272
impact	0.0952415
storm	0.095157
policy	0.0949528
report	0.0948647
casualty	0.0948589
turmoil	0.0947936
charge	0.0945557
situation	0.0944721
spree	0.094214
torture	0.0936989
deployment	0.0934155
repression	0.0932015
brutality	0.0931688
disturbance	0.0928672
conspiracy	0.0927776
arson	0.0926442
epidemic	0.0926108
"civil war"	0.0918897
fraud	0.0916229
talk	0.0915304
use	0.0912287
gunfire	0.0909831
terrorist	0.0909372
seizure	0.0909104
uprising	0.0907427
escalation	0.090626
interference	0.0906142
"military campaign"	0.0905684
warfare	0.0905634
change	0.0903508
troop	0.0903008
blockade	0.0902226
intimidation	0.0902191
resistance	0.0902112
Rally	0.0900719
cleansing	0.0898726
effect	0.0897661
exercise	0.0895029
debate	0.0894363
weapon	0.0893135
movement	0.0890481
challenge	0.0889543
claim	0.0889403
event	0.0887272
damage	0.0885053
boycott	0.0884824
disruption	0.0884719
election	0.0883883
maneuver	0.088336
withdrawal	0.0880791
intrusion	0.0879441
meeting	0.0878775
catastrophe	0.0878074
corruption	0.0877787
presence	0.0877771
proposal	0.0875858
plan	0.0875599
disappearance	0.0875454
Collision	0.0875154
terror	0.0871911
expulsion	0.0870412
tension	0.0870278
development	0.0867778
detention	0.0867368
skirmish	0.0866786
involvement	0.0865718
delay	0.0863368
slaughter	0.0863099
complaint	0.0860495
wave	0.0859585
reaction	0.0856877
backlash	0.0856589
rebel	0.0856291
trial	0.0853037
response	0.0852537
vote	0.0849968
guerrilla	0.0849582
suicide	0.0848732
injury	0.0846013
ban	0.0845656
))
("attack aircraft" (desc 1413.38) (sims
fighter-bombers	0.19292
"fighter aircraft"	0.168903
warplane	0.13301
bomber	0.132238
gunship	0.115246
warplanes	0.114986
F-@@s	0.103186
TU-@@@	0.096463
AN-@@	0.0907391
"rocket launcher"	0.0851763
B-@	0.0830954
infantry	0.0828777
B-@@	0.0819459
"landing craft"	0.0770807
howitzer	0.0761044
artillery	0.0757061
airmen	0.0716507
"personnel carrier"	0.0711023
B-@s	0.0663749
machineguns	0.0658937
gunboat	0.0651212
squadron	0.0631902
launcher	0.0617443
paratroops	0.0606893
"air power"	0.0599749
"electronic warfare"	0.0599604
Prowler	0.0592154
Harrier	0.0591074
"jet plane"	0.057992
"patrol boat"	0.0579387
F-@@@	0.0555782
"military vehicle"	0.054457
Apaches	0.0543262
"air attack"	0.0536155
C-@@@	0.0528697
bazooka	0.0524594
SU-@@	0.0506339
machine-guns	0.0500103
"voting machine"	0.0499828
"electric current"	0.0494745
"supply ship"	0.049455
"heavy weapon"	0.0483141
"Emanuel Steward"	0.0477646
"Richard Mandella"	0.0472187
warthog	0.0465479
"surface-to-air missile"	0.0463852
"mortar fire"	0.0462794
Unabomber	0.0459388
"American plane"	0.045581
stanchion	0.0453426
pasteurization	0.0452677
"corn syrup"	0.0449983
bloodhound	0.0449531
"Airbus A@@@"	0.0449115
"surface ship"	0.0444713
AWACS	0.0444453
Apache	0.043988
frigate	0.0431941
"fire truck"	0.042733
Counsell	0.0424038
MiG-@@	0.0423896
gyroscope	0.0421903
minesweeper	0.0412472
Brashear	0.0411996
projectile	0.0411334
octave	0.0410008
Agusta	0.0404029
submersible	0.0402895
))
("attack dog" (desc 2452.59) (sims
"battering ram"	0.103063
"traffic cop"	0.088937
gotcha	0.0785492
gonzo	0.0765823
Hands-off	0.0751781
scheduler	0.0709514
"good Samaritan"	0.0707907
obstructionist	0.0695656
take-no-prisoners	0.0669856
"wise man"	0.0668679
gatekeeper	0.0633682
populist	0.0633116
contrarian	0.0623721
hyper	0.0623049
speechwriter	0.0622919
acquirer	0.0619184
"New Democrat"	0.0607011
apologist	0.0604485
kingmaker	0.0593839
"dairy cow"	0.0591945
spoiler	0.0582747
understudy	0.0573744
middleman	0.0570041
hardball	0.0564027
salutation	0.0562528
go-between	0.0557778
"numbers game"	0.0556645
troubleshooter	0.0555598
Everyman	0.0552085
"safety valve"	0.0548486
collaborative	0.0548254
"Trojan Horse"	0.0546399
punchline	0.0543396
ideologue	0.0543345
"Delta Force"	0.0542747
"one hundred"	0.0539767
lackey	0.0539496
entrepot	0.0539084
minstrel	0.0537407
proactive	0.0533818
taskmaster	0.0532144
gadfly	0.0531893
jester	0.0527248
uptempo	0.0527148
"drug czar"	0.0522048
"spin doctor"	0.0521394
go-slow	0.0520571
"power tool"	0.0517102
"guard dog"	0.0514842
"white knight"	0.0513057
"prima donna"	0.0511763
non-issue	0.0510854
stonewalling	0.0509684
emcee	0.0509372
confessional	0.0508779
hypocrite	0.0507319
hawkish	0.0507145
"laissez faire"	0.0507133
hands-on	0.05055
enforcer	0.0504996
paramour	0.0503102
"water cannon"	0.0498555
thuggish	0.0497018
goal-scorer	0.0495865
figurehead	0.0494873
"Wild Man"	0.04936
"fall guy"	0.0492156
"pep rally"	0.0492057
"knee jerk"	0.0490383
"lingua franca"	0.0489529
"Harold Ickes"	0.0489475
debater	0.0488347
turncoat	0.0488177
racehorse	0.048645
puncher	0.0485282
counterattack	0.0484664
nonentity	0.0483566
"sounding board"	0.0483312
curmudgeon	0.0482664
Scrooge	0.0482224
lawman	0.0481644
peacemaker	0.0481402
"guessing game"	0.048044
"hired gun"	0.0480088
"point man"	0.0474059
corrective	0.0472219
"hunting ground"	0.0472196
bodybuilder	0.0467433
ringmaster	0.0466168
Rambo	0.0464882
"front man"	0.0462283
"rubber stamp"	0.0460787
firebrand	0.0458838
preachy	0.0457189
"Reagan Democrats"	0.0455659
emissary	0.0455552
"Robin Hood"	0.0453565
"elder statesman"	0.0453285
informer	0.0451775
"parlor game"	0.0450925
"top dog"	0.0449211
documentarian	0.0448039
potty	0.0447735
sleuth	0.0447374
"straight man"	0.0446349
Intimidator	0.0444959
optimist	0.044456
kamikaze	0.0444463
oxymoron	0.044367
"motor oil"	0.0442666
"sound bite"	0.0441489
"Darth Vader"	0.0440746
avocation	0.0440626
"master of ceremonies"	0.0438531
minimalist	0.0437406
screed	0.043703
arranger	0.0436148
Haskins	0.0432884
"standard bearer"	0.0432745
ballerina	0.0432252
pinata	0.0432241
spoken	0.043142
"smart aleck"	0.0431187
rote	0.0430398
aspirant	0.0430309
"National Convention"	0.0430082
spud	0.0427374
"tough guy"	0.0427229
electioneering	0.0427167
"punching bag"	0.0427165
"pipe organ"	0.0426678
"Northern Irish"	0.0426147
matchmaker	0.0424912
laxative	0.0424412
newspaperman	0.042371
sentry	0.0422765
autocrat	0.0422263
"police captain"	0.0421885
"Jimmy Stewart"	0.0421327
Judas	0.0419225
"expression of regret"	0.0418262
Sledgehammer	0.0416612
stand-in	0.0415465
medic	0.0414382
"hockey coach"	0.0413358
weatherman	0.0413272
fastbreak	0.0412501
"guardian angel"	0.0411972
"Old Trieste"	0.0411347
Kleenex	0.0411217
throwaway	0.040953
Downstate	0.0409103
middlemen	0.0408941
stopper	0.0408542
whistle-blower	0.0407387
surrogate	0.0407152
realist	0.0406727
"pork barrel"	0.0406396
whistleblower	0.0406299
propagandist	0.0406085
nonwhite	0.0403412
elitist	0.0402794
buffoon	0.0402021
"identical twin"	0.0401465
whiner	0.0401349
businesswomen	0.0400544
choirboy	0.0400455
idiot	0.0400349
"Irish Catholic"	0.0400333
))
("attack submarine" (desc 2602.78) (sims
frigate	0.218187
minesweeper	0.208961
submarine	0.186076
icebreaker	0.160679
"patrol boat"	0.156518
"surface ship"	0.14776
"transport ship"	0.144286
destroyer	0.143814
"supply ship"	0.131725
"torpedo boat"	0.131136
battleship	0.126598
"cargo vessel"	0.124429
"aircraft carrier"	0.122988
warship	0.122909
Cruiser	0.116411
"container ship"	0.114059
"USS Enterprise"	0.113865
"nuclear-powered submarine"	0.113435
sub	0.106869
gunboat	0.106628
"passenger ship"	0.102238
"fighter aircraft"	0.0923192
"landing craft"	0.0896244
"weapons system"	0.0860185
speedboat	0.0859056
"oil tanker"	0.0836903
corvette	0.0830581
warplanes	0.0800769
"patrol ship"	0.0799454
frogmen	0.0789853
tanker	0.0770364
"Charles de Gaulle"	0.0753383
tugboat	0.0733824
Kursk	0.0704633
"particle accelerator"	0.0703404
"ocean liner"	0.0702994
bomber	0.069663
B-@s	0.0695389
"merchant ship"	0.0693376
freighter	0.0689312
sailboat	0.0673552
minibuses	0.0670801
"space vehicle"	0.0660553
"air-to-air missile"	0.0654895
subcompact	0.0648641
"fishing boat"	0.0635514
"cargo ship"	0.0622969
Whiting	0.0621225
MiGs	0.0620595
"pleasure boat"	0.0617425
weaponry	0.0615735
barge	0.061411
fighter-bombers	0.0604821
yacht	0.0600736
"Islamic Revolution Guards Corps"	0.0599619
squadron	0.0598865
locomotive	0.059406
hovercraft	0.0583914
F-@@s	0.0583267
"weather satellite"	0.0577594
"naval forces"	0.0576495
paratrooper	0.0568512
Yorktown	0.056657
"sailing ship"	0.0564579
"booster rocket"	0.055436
"National Missile Defense"	0.0551987
"small boat"	0.0549499
cutter	0.0548966
"power unit"	0.0540721
trawler	0.0531723
scorpion	0.0523361
"compact car"	0.0521874
"artillery unit"	0.051695
"communications satellite"	0.051434
"drilling rig"	0.0513505
flotilla	0.0507944
catamaran	0.050788
"spy satellite"	0.0506194
"Andrea Gail"	0.0502733
gunship	0.0500726
"exhaust system"	0.0498681
spacecraft	0.049453
launcher	0.0492606
T-@@	0.0490317
"weapon system"	0.0489796
"entitlement program"	0.048663
motorboat	0.0481934
"designer drug"	0.0478043
"intercontinental ballistic missile"	0.0475491
"wind power"	0.0474026
"New Carissa"	0.0473808
A@@@-@@@	0.0468291
injector	0.0468238
F-@@	0.0466384
"rocket launcher"	0.0465616
submersible	0.0462621
supercomputers	0.0457991
airmen	0.0457372
"American plane"	0.0457262
biplane	0.0456772
"Joint Strike Fighter"	0.0453351
Apaches	0.0451296
"Ferris wheel"	0.0450513
Suburbans	0.045045
"military vehicle"	0.045039
"luxury liner"	0.0447823
dinghy	0.0447759
A@XX	0.0447562
osprey	0.0447049
"early warning system"	0.0446872
B-@	0.0446288
armymen	0.0446253
"pirate ship"	0.0444396
A@@@	0.0444394
"fire truck"	0.0444203
DeVille	0.0442961
airship	0.0441457
Nuke	0.0440502
schooner	0.0440479
"space probe"	0.0439752
"propulsion system"	0.0437895
"Land Cruiser"	0.0437857
"silicon chip"	0.0437442
footpath	0.0437248
sweeper	0.0436667
chairlift	0.0434922
"meteorological satellite"	0.0434269
THAAD	0.0434071
"personnel carrier"	0.0431175
ferryboat	0.043116
supercomputer	0.0429355
"oil rig"	0.042553
NMD	0.0422954
Algonquin	0.0422074
A@@@s	0.0421922
"electric car"	0.0421664
"rocket engine"	0.0420127
mini-buses	0.0419645
"white blood cell"	0.0418996
rowboat	0.041764
paratroops	0.0413159
GPU	0.0413041
Godot	0.0412794
"radio telescope"	0.0412447
C-@@	0.0412388
"production facility"	0.0407546
"thermonuclear warhead"	0.0406642
"Playstation II"	0.0403642
))
(attacker (desc 25824.2) (sims
assailant	0.282022
gunmen	0.214979
gunman	0.204054
robber	0.187843
suspect	0.157804
bandit	0.153707
rioter	0.146715
perpetrator	0.145827
intruder	0.144456
kidnapper	0.143418
Hijacker	0.142809
militant	0.142082
terrorist	0.137057
Killer	0.135797
guerrilla	0.127132
militiamen	0.12472
rebel	0.122644
sniper	0.119024
bomber	0.118867
assassin	0.118424
soldier	0.11837
"robbery suspect"	0.116187
abductor	0.113837
criminal	0.11322
policemen	0.111453
extremist	0.110008
smuggler	0.108445
Rapist	0.108163
demonstrator	0.108083
looter	0.10802
protester	0.107682
captor	0.107449
thug	0.105301
infiltrator	0.103351
fighter	0.103068
arsonist	0.102673
burglar	0.102434
man	0.101661
hacker	0.100936
vandals	0.0996193
gangster	0.0986622
shooter	0.0972774
thief	0.0961401
commando	0.0958153
mob	0.0955383
policeman	0.095527
gang	0.0950253
paramilitary	0.0947912
accomplice	0.0946814
murderer	0.0942494
Serbs	0.0940365
defendant	0.0940295
"police officer"	0.0938901
victim	0.0925685
hooligan	0.0919459
poacher	0.0913713
officer	0.0899993
escapee	0.089287
hostage-takers	0.0891855
militia	0.08843
insurgent	0.0882334
settler	0.0860571
Barton	0.0859392
deserter	0.08592
culprit	0.0857797
rustler	0.0857647
villager	0.0851521
"drug dealer"	0.0847763
"young man"	0.084077
fugitive	0.0839796
aggressor	0.0838095
civilian	0.0835057
"federal agent"	0.0834887
tribesmen	0.0827863
"drug trafficker"	0.0818084
police	0.0817878
inmate	0.0817801
trooper	0.080933
youth	0.0808576
stone-throwers	0.0805474
"Eric Harris"	0.0803395
guardsmen	0.0800925
"security force"	0.0796913
"white man"	0.0791619
protestor	0.0783631
troop	0.0783548
supremacist	0.0781956
prisoner	0.0777808
"Eric Rudolph"	0.0759283
Albanian	0.0759168
enemy	0.0758689
separatist	0.0753222
"crew member"	0.0752309
bodyguard	0.075124
trafficker	0.0749928
Klansmen	0.0746722
Resendez-Ramirez	0.0746312
Sarsour	0.0746074
conspirator	0.0745905
person	0.0742595
Kamajors	0.0741648
occupant	0.0740376
furrow	0.0738826
guard	0.0737466
dissident	0.0733274
vigilante	0.0731778
Nazi	0.0730355
"serial killer"	0.0729676
wounded	0.0729309
accuser	0.07262
invader	0.0718254
mugger	0.0717707
Ashbrook	0.0717067
driver	0.0716768
teen-ager	0.0716722
"intelligence agent"	0.0716535
servicemen	0.0715824
exboyfriend	0.0715104
"military officer"	0.0711475
tacklers	0.0709065
Rudolph	0.0708853
Vandal	0.0703485
classmate	0.0700639
passenger	0.0700574
wrongdoer	0.0699954
ringleader	0.0694365
saboteur	0.0693284
activist	0.0692559
agent	0.0691409
detainee	0.0690868
raider	0.0686854
Cop	0.0684965
schoolmate	0.0684575
striker	0.068139
combatant	0.067952
militiaman	0.06778
offender	0.0675135
sailor	0.0673942
guerilla	0.0671913
Palestinian	0.0664834
"prison guard"	0.0663773
TORTURER	0.0661965
relative	0.0661829
someone	0.0658851
crewmen	0.065785
pirate	0.0657398
"black man"	0.0656579
student	0.0654419
skinhead	0.0653913
mutineer	0.06528
mastermind	0.0652119
Davidians	0.0651042
warplanes	0.0649617
"security guard"	0.064894
mercenary	0.0647082
squatter	0.0644214
bomb	0.0643888
sympathizer	0.0643416
"Eric Robert Rudolph"	0.0640071
motorcyclists	0.063777
Iranian	0.0637767
supporter	0.0636545
neo-Nazis	0.0635149
comrade	0.0634205
marcher	0.0633831
Israeli	0.0632354
co-conspirator	0.063125
marine	0.0629862
boyfriend	0.0628875
Klebold	0.0626739
peacekeeper	0.0626246
"military man"	0.0625843
Libyan	0.0625389
boy	0.0623276
spy	0.0622866
serviceman	0.0621311
fundamentalist	0.0620791
Pakistani	0.0619545
Colombian	0.0618309
airmen	0.061736
"army officer"	0.0616898
motorist	0.0616562
"car bomb"	0.061648
refugee	0.0616174
accused	0.0615947
opponent	0.0614527
violator	0.0611842
firefighters	0.0611698
"FBI agent"	0.0611335
radical	0.0611193
"Abu Sayyaf"	0.0608329
felon	0.0606634
hoodlum	0.0606215
Iraqi	0.0605933
lawbreaker	0.0604714
suitor	0.0604422
immigrant	0.0604177
troublemaker	0.0604126
"murder suspect"	0.0602143
stowaway	0.0599979
))
(attainment (desc 6818.39) (sims
realization	0.141798
fulfilment	0.140208
materialization	0.14007
safeguarding	0.105262
advancement	0.102549
fulfillment	0.0885537
achievement	0.0876818
strengthening	0.0844312
furtherance	0.0839484
Implementation	0.0773125
reunification	0.0752528
stabilization	0.0750449
industrialization	0.0749188
modernization	0.0748102
revitalization	0.0745867
enhancement	0.0731915
restoration	0.0730854
democratization	0.0723421
integration	0.0715915
consolidation	0.0715326
eradication	0.0709973
preservation	0.070422
well-being	0.0691229
prosperity	0.0689265
maintenance	0.0682866
equality	0.0682684
normalization	0.0679863
standardization	0.0668132
literacy	0.0659613
empowerment	0.065919
excellence	0.0650067
unification	0.0648145
sustainability	0.063762
proficiency	0.0633607
backwardness	0.0627043
accomplishment	0.0626543
harmonization	0.0625457
understanding	0.0621902
illiteracy	0.061987
"quality of life"	0.0619747
acceptance	0.0611691
rejuvenation	0.0604882
"practical application"	0.0602636
"standard of living"	0.0593793
utilization	0.0592602
soundness	0.058873
monitoring	0.05816
enjoyment	0.0576464
coexistence	0.0571403
Betterment	0.0571263
resumption	0.0570867
undertaking	0.0570709
lowering	0.0570379
urbanization	0.0565906
dissemination	0.0560947
alleviation	0.0558984
reconciliation	0.0557968
Amity	0.0547369
fragility	0.054562
desirability	0.0542694
sustenance	0.0542694
awareness	0.0526544
Liberalization	0.0525844
efficiency	0.052532
transparency	0.0520125
deceleration	0.0519481
professionalism	0.0518801
universality	0.0516703
adoption	0.0516
observance	0.051579
productivity	0.0513596
governance	0.0511575
enforcement	0.0511111
deepening	0.0509718
"social status"	0.0509002
self-employment	0.0507392
effectiveness	0.050496
self-sufficiency	0.0503667
profitability	0.0502449
emancipation	0.0499705
reestablishment	0.0499528
opening-up	0.04982
conservation	0.0495839
undermining	0.0495284
continuation	0.0494662
"life expectancy"	0.049427
diversity	0.0490908
convening	0.0485673
feasibility	0.048505
fertility	0.0483818
enlargement	0.0483267
inequality	0.0481614
activation	0.0479837
redefinition	0.0476696
"performance evaluation"	0.0476407
lifting	0.0475411
survival	0.0472236
interdependence	0.0469822
degradation	0.046805
diversification	0.0467547
disarmament	0.0467307
continuity	0.0465005
"benefit program"	0.0463543
"fundamental principle"	0.0462245
dialog	0.0462138
imperatives	0.0459631
upgrading	0.0457031
formulation	0.0456686
homeownership	0.0455331
qualification	0.0454322
broadening	0.0453068
self-reliance	0.0450533
liberation	0.0448488
Non-Proliferation	0.0448106
competence	0.0446886
"population density"	0.044646
mortality	0.0445857
fostering	0.0445793
"rule of law"	0.0445329
"equal opportunity"	0.0443625
interoperability	0.0443602
"growth prospect"	0.0443028
ratification	0.0441527
popularization	0.0441248
affluence	0.043962
disparity	0.0438108
"cost of living"	0.0437951
functioning	0.0437379
vitality	0.0436833
cohesion	0.0435788
mechanization	0.04347
"mutual understanding"	0.0433732
erosion	0.0433174
emergence	0.0432388
harmony	0.0431777
incorporation	0.0431691
"environmental condition"	0.0430073
deterioration	0.0429217
"free trade"	0.0428549
fairness	0.0427394
"birth rate"	0.0427106
"dashing hopes"	0.0426893
foundations	0.042636
Tightening	0.0424851
exploitation	0.0424372
reemployment	0.0424317
viability	0.0421485
inviolability	0.0421298
powerlessness	0.0421216
guarantor	0.0419406
self-government	0.0418315
downslide	0.0418296
accountability	0.0418283
specialization	0.0418082
accession	0.0416815
malnutrition	0.0416739
livelihood	0.0416001
mobilization	0.0415426
worsening	0.0414768
sphere	0.0413927
upsurge	0.0412675
"investment climate"	0.0409038
"credit history"	0.0406193
abandonment	0.0405509
pursuance	0.0405081
"job security"	0.0403783
facilitation	0.0403016
prevalence	0.0401619
mobility	0.040156
setting-up	0.0400141
))
(attempt (desc 228009) (sims
effort	0.204453
bid	0.150971
attack	0.145388
move	0.141534
action	0.123456
decision	0.12151
threat	0.114779
violation	0.113353
act	0.113291
failure	0.112763
plan	0.111528
campaign	0.10959
ploy	0.109333
response	0.106393
tactic	0.106108
proposal	0.105224
try	0.103252
assault	0.103054
bombing	0.102837
"field goal"	0.101757
order	0.0996153
plot	0.0977398
accusation	0.0969627
intervention	0.0966263
killing	0.096129
conspiracy	0.0960615
shot	0.095849
aggression	0.0956584
initiative	0.0952312
activity	0.0951334
refusal	0.0949591
strategy	0.0947352
strike	0.0946968
chance	0.093481
incident	0.0931644
coup	0.0927192
crackdown	0.0924332
scheme	0.0919952
raid	0.091964
policy	0.091733
statement	0.0911306
allegation	0.0910777
claim	0.0908448
hope	0.0906841
war	0.0903327
violence	0.0898267
step	0.0893911
investigation	0.0893879
offensive	0.0893635
case	0.0893245
way	0.0892876
provocation	0.0889784
measure	0.0888288
protest	0.0886637
invasion	0.0875665
charge	0.0874137
criticism	0.0873782
process	0.0873615
call	0.0868751
interference	0.0863999
pass	0.0857779
remark	0.0856506
drive	0.0855355
request	0.0847097
operation	0.0846513
challenge	0.0842577
"military action"	0.0842129
behavior	0.0841108
maneuver	0.0840313
struggle	0.0839543
quest	0.0838822
push	0.0836465
abuse	0.082954
practice	0.0825464
desire	0.0822004
lawsuit	0.0820044
massacre	0.0816031
shooting	0.0814162
crime	0.0813659
play	0.0810837
arrest	0.0806669
legislation	0.0805336
battle	0.0805001
search	0.0802966
mistake	0.0801833
suggestion	0.0800087
appeal	0.0800062
intention	0.0795855
rejection	0.0795177
approach	0.0791552
exercise	0.079132
assertion	0.0791153
change	0.0783821
test	0.0783029
scandal	0.0783003
assassination	0.0782975
return	0.078275
conduct	0.077956
opportunity	0.0775856
talk	0.0775841
negotiation	0.0773899
fight	0.0773211
demonstration	0.0771997
comment	0.0770365
determination	0.0768456
takeover	0.0767523
goal	0.0766711
that	0.0764662
Declaration	0.0762376
use	0.0760688
reaction	0.075863
deal	0.0758574
involvement	0.0757452
demand	0.0756243
"free throw"	0.0755835
offer	0.0754082
Mission	0.0753973
ability	0.074672
terrorism	0.0746639
murder	0.0746454
expansion	0.0744955
visit	0.074472
inquiry	0.074423
victory	0.0742942
part	0.074264
announcement	0.0741441
kidnapping	0.0740891
situation	0.0739882
event	0.0738736
kick	0.0738317
gesture	0.0737249
presence	0.0736377
agreement	0.0735663
vote	0.0735352
reform	0.0734716
confrontation	0.0733952
argument	0.0731754
development	0.0730305
loss	0.0730169
lack	0.0728418
report	0.0728407
stance	0.0728011
opposition	0.0725628
ruling	0.0725517
conflict	0.0724733
preparation	0.0724417
robbery	0.0722052
inability	0.0718393
pursuit	0.0718047
endeavor	0.0716491
success	0.0715449
support	0.0713631
accident	0.0712037
commitment	0.0711569
punt	0.0710651
amendment	0.0708464
idea	0.0707951
fact	0.0707948
this	0.0707544
movement	0.0707371
complaint	0.0707336
appearance	0.0706602
series	0.0704959
pledge	0.0702989
program	0.0700591
retaliation	0.0700035
rebellion	0.0699716
dispute	0.0696457
sanction	0.0696291
election	0.0696027
bill	0.0695289
willingness	0.0694391
defeat	0.0693977
trip	0.0693885
reluctance	0.0692171
plea	0.0691374
promise	0.0691372
clash	0.0690973
withdrawal	0.0688997
it	0.0687372
explosion	0.0686999
atrocity	0.0686191
experiment	0.0684348
speech	0.0683549
role	0.0682706
problem	0.0682331
airstrikes	0.068026
pressure	0.0680113
game	0.0678964
resolution	0.0677442
Death	0.0676585
performance	0.0676043
result	0.0675381
crisis	0.0674815
fraud	0.0674741
Defense	0.0673235
rush	0.0670752
position	0.0669982
possession	0.0669107
corruption	0.0668609
))
(attendance (desc 61161) (sims
enrollment	0.141555
turnout	0.137797
rating	0.117549
viewership	0.11583
"voter turnout"	0.110926
"test score"	0.106749
number	0.101995
earnings	0.098897
sale	0.0985013
payroll	0.0979707
percentage	0.0968034
participation	0.0954096
enrolment	0.0940391
circulation	0.0936023
crowd	0.0934527
ridership	0.0931718
"batting average"	0.092366
unemployment	0.0919673
revenue	0.0911785
"inflation rate"	0.0903966
"crime rate"	0.0882479
"unemployment rate"	0.0878636
productivity	0.0870635
population	0.0863277
membership	0.0852529
employment	0.0850943
inflation	0.0841411
output	0.0840217
profit	0.0837955
volume	0.0832287
"occupancy rate"	0.0829963
"oil price"	0.082642
"gas price"	0.0821107
average	0.0818376
total	0.0817992
audience	0.0813201
sales	0.0807242
performance	0.0807075
"growth rate"	0.0803513
rate	0.0801533
income	0.0800322
"market share"	0.0800282
yield	0.0799348
production	0.0795713
"retail sale"	0.0793984
"home sale"	0.0790855
consumption	0.078985
spending	0.0787066
growth	0.0779835
record	0.0778485
price	0.076955
readership	0.0761357
"life expectancy"	0.0759162
salary	0.0757377
GDP	0.0755866
inventory	0.0755081
"earning per share"	0.0754689
popularity	0.075283
ratio	0.0751924
"vehicle sale"	0.0750325
"operating cost"	0.0747637
"labor cost"	0.0746411
"birth rate"	0.0744484
"production cost"	0.0742552
occupancy	0.0736874
morale	0.0736841
"revenue growth"	0.0736837
"poverty rate"	0.073516
profitability	0.0726193
turnover	0.0724073
"tax collection"	0.0711586
grade	0.0711421
tally	0.0709288
demand	0.0708546
"profit margin"	0.0708093
"budget deficit"	0.0702541
"rate of inflation"	0.0701101
figure	0.0698858
"export sale"	0.06968
"blood pressure"	0.0692967
capacity	0.0689972
rainfall	0.0685945
toll	0.0685609
appearance	0.0685415
"tax revenue"	0.0684778
"mortgage rate"	0.0683989
Gross	0.0683062
fatality	0.0681519
export	0.0681252
"net income"	0.0680569
"truck sale"	0.0679189
expenditure	0.067912
harvest	0.0674775
deficit	0.067278
sellout	0.0671323
"work force"	0.0670696
"bond price"	0.0670664
arrival	0.0669669
margin	0.0668441
value	0.0666415
confidence	0.0664688
availability	0.0663088
wage	0.0662856
quality	0.0662038
"net profit"	0.0662008
usage	0.0657919
"standard of living"	0.0655803
admission	0.0655637
efficiency	0.0650415
Tonnage	0.064911
incidence	0.0647806
"mortality rate"	0.0647199
"trade deficit"	0.0646675
cost	0.0645595
booking	0.0644475
caseload	0.0642312
investment	0.0640141
workforce	0.0638979
registration	0.0638684
receipt	0.063725
import	0.0636605
capitalization	0.063199
Dow	0.0629725
temperature	0.0628991
lineup	0.0625711
"fertility rate"	0.0624353
flow	0.0623967
"trade surplus"	0.0623879
loss	0.0622972
"interest rate"	0.0622054
presence	0.062143
"death rate"	0.0618943
yardage	0.0613474
health	0.0611323
level	0.0611111
"personal income"	0.0609572
standing	0.0606924
"market value"	0.0606785
"prize money"	0.060672
"box office"	0.0605886
"consumer price index"	0.0602466
result	0.0599369
sponsorship	0.0599272
compliance	0.0594597
activity	0.0593052
speech	0.0591788
recruitment	0.059164
"oil production"	0.0588955
coverage	0.0587247
"vacancy rate"	0.0583666
"pretax profit"	0.0580693
"earnings growth"	0.0579433
traffic	0.05788
"labor force"	0.0577242
"cost of living"	0.0576936
"gross national product"	0.057503
shipment	0.0573845
decline	0.0573278
participant	0.0571342
funding	0.0571199
Tuition	0.0570537
"stock market"	0.0569734
"rate of growth"	0.0568534
roster	0.0568147
inflow	0.0566884
interest	0.0566679
achievement	0.0566568
saving	0.0564069
mortality	0.0564066
budget	0.0563708
behavior	0.0563409
fee	0.0562604
victory	0.056176
contribution	0.0561322
donation	0.0560288
success	0.0559076
mood	0.0558832
IQ	0.0558568
size	0.0557305
"gross domestic product"	0.0556963
self-esteem	0.0555821
precipitation	0.0555781
ranking	0.0555241
reserve	0.0555038
"factory order"	0.0554842
mileage	0.0554414
surplus	0.0552797
"retail price"	0.0552632
qualification	0.0550316
amount	0.0550093
index	0.0548832
"consumer demand"	0.0546928
strength	0.0544945
"insurance premium"	0.054489
emission	0.0544484
"heart rate"	0.0543949
estimate	0.0542481
joblessness	0.0542219
reception	0.0541938
crime	0.053858
))
(attendant (desc 22368.3) (sims
"flight attendant"	0.144061
"security guard"	0.11289
nurse	0.110919
clerk	0.109126
waiter	0.108053
stewardess	0.104331
janitor	0.104197
technician	0.104027
mechanic	0.102052
"ticket agent"	0.0996936
cashier	0.0950467
receptionist	0.0924994
worker	0.0922625
waitress	0.0921883
pilot	0.0913228
"staff member"	0.0899658
employee	0.089819
"police officer"	0.0874452
"truck driver"	0.0859397
"bus driver"	0.084816
busboy	0.0845104
personnel	0.0836224
staffer	0.0836048
hostess	0.0831328
handler	0.0823792
housekeeper	0.0815893
teacher	0.0815784
counselor	0.0814205
electrician	0.0812383
operator	0.0811292
bartender	0.0810544
"civil servant"	0.0791263
officer	0.07908
dispatcher	0.079007
supervisor	0.0788108
"crew member"	0.0784771
volunteer	0.0777538
doctor	0.0754264
engineer	0.0750788
firefighters	0.0750604
veterinarian	0.0749308
policemen	0.0745525
doormen	0.0745484
paramedic	0.0735424
policeman	0.0731845
driver	0.0730012
"factory worker"	0.0723028
trainee	0.0717852
controller	0.0716297
staff	0.0713143
"prison guard"	0.0709138
therapist	0.0705162
assistant	0.0704623
laborer	0.0702632
journalist	0.0699649
maid	0.0696073
instructor	0.0693706
"social worker"	0.0686458
pharmacist	0.0683991
passenger	0.068252
physician	0.0682269
teller	0.0676198
chef	0.0670667
crew	0.0668008
concierge	0.0662581
lifeguard	0.0652915
medic	0.0651973
steward	0.0651939
patron	0.064774
helper	0.0647636
chauffeur	0.0644969
midwife	0.0641535
salespeople	0.0637
"faculty member"	0.0636285
"military personnel"	0.0634441
participant	0.0633427
doorman	0.063338
prostitute	0.0632944
translator	0.063058
machinist	0.0630444
bellhop	0.0630192
firemen	0.0627291
professional	0.062346
bodyguard	0.0617802
Cop	0.061734
carpenter	0.0617151
sailor	0.0616934
enlistee	0.0615854
trooper	0.0614243
inspector	0.0613945
photographer	0.0612099
"ground crew"	0.0608084
administrator	0.0608083
servant	0.0607863
accountant	0.0606205
agent	0.0605629
"public servant"	0.0604977
custodian	0.0603144
handyman	0.0601443
stockbroker	0.0599924
"computer programmer"	0.0599077
librarian	0.0593741
Programmer	0.0589661
practitioner	0.0581528
bystander	0.0579389
educator	0.057883
"disc jockey"	0.0578271
gardener	0.0577517
aide	0.0575838
miner	0.0574567
soldier	0.0573802
guard	0.0572804
"travel agent"	0.0572423
Sergeant	0.0570436
"university student"	0.0569903
interpreter	0.0569652
vendor	0.0566091
firefighter	0.0565766
specialist	0.0565383
"dock worker"	0.0564308
enumerators	0.0563753
trainer	0.0562531
"college student"	0.0560402
businessmen	0.0560377
guest	0.055929
planner	0.0559013
welder	0.0558991
bookkeeper	0.0557281
attendees	0.05552
valet	0.0553636
co-worker	0.0551818
reporter	0.0551317
cameraman	0.055129
caregiver	0.055061
scout	0.0550091
hairdresser	0.054708
trucker	0.0547054
musician	0.0545467
contractor	0.0545027
protester	0.0544699
"military officer"	0.0540693
caretaker	0.0539822
"army officer"	0.0534808
priest	0.0534288
publicist	0.0533112
villager	0.0532909
visitor	0.0529996
nanny	0.0529437
businesspeople	0.05294
steelworker	0.0528321
umpire	0.0528108
scientist	0.0527127
diplomat	0.052711
demonstrator	0.0526056
tourist	0.052448
caddie	0.0523621
crewmen	0.0523572
"farm worker"	0.0522823
cadre	0.052189
exhibitor	0.0521523
"union worker"	0.0520667
"union member"	0.0518094
"temporary worker"	0.0518038
"real estate agent"	0.0517991
delegate	0.0517579
courier	0.0517402
commuter	0.0516159
co-pilot	0.05151
occupant	0.0514955
"Sri Lankans"	0.0514835
applicant	0.0513502
cadet	0.0513282
seamen	0.0512554
principal	0.0511841
motorist	0.0511208
messenger	0.051104
"family member"	0.051049
spectator	0.0510316
well-wisher	0.0510053
cleaner	0.0509839
dancer	0.0508713
farmer	0.0508684
nun	0.0508064
traveler	0.0507128
"registered nurse"	0.050674
congregants	0.0504399
proprietor	0.0502784
referee	0.0501384
servicemen	0.0500418
"software engineer"	0.0500289
Workers	0.0498852
observer	0.0498391
inmate	0.0495151
organizer	0.049458
"skilled worker"	0.0494571
Haitian	0.0494187
autoworkers	0.0494168
dignitary	0.0493913
"school teacher"	0.0492258
psychiatrist	0.0490504
))
(attendees (desc 9049.62) (sims
goer	0.121104
participant	0.120091
exhibitor	0.115297
registrant	0.115207
mourner	0.0979521
wellwisher	0.0944865
delegate	0.0923546
panelist	0.0909818
worshipper	0.0871851
congregants	0.086894
Atlantans	0.0862816
conventioneer	0.0838208
spectator	0.0829371
worshiper	0.0828148
reveler	0.0820694
townsfolk	0.0818303
guest	0.0817026
enlistee	0.0815413
marcher	0.0810761
Iowan	0.0808626
returnees	0.0804997
hopefuls	0.0799484
listener	0.0798636
job-seekers	0.0773045
protestor	0.0759235
filmgoers	0.0738184
onlooker	0.0734316
evacuee	0.0731205
Beijingers	0.0729601
patron	0.0727857
Haitian	0.0726783
presenter	0.0725504
parishioner	0.0723749
Alumni	0.0722598
visitor	0.0714514
"stamp collector"	0.071407
well-wisher	0.0711652
"union member"	0.0703478
"Iranian POWs"	0.0699234
organizer	0.0695789
"business leader"	0.0692523
picketers	0.0692011
motorcyclists	0.0691099
honoree	0.0691031
concertgoers	0.0688465
moviegoer	0.0683597
centenarian	0.0679957
Missourian	0.0676075
Muscovite	0.067147
Quebecers	0.0669093
"church member"	0.0668808
demonstrator	0.0667197
applicant	0.0665144
"New Jerseyans"	0.0656809
dignitary	0.0653819
VMs	0.065238
pilgrim	0.0648634
partygoer	0.0648036
reservist	0.0646448
"New York Republicans"	0.064535
devotee	0.0644851
Cambodian	0.0643689
shopper	0.0638968
"Sri Lankans"	0.0636144
Georgian	0.0633909
"South Koreans"	0.0633146
enactors	0.0632544
"business executive"	0.0630457
protester	0.0630453
follower	0.0628593
Ecuadoreans	0.0627421
businesspeople	0.0622849
co-chairs	0.0620548
"business traveler"	0.0619361
"keynote speech"	0.0618988
passers-by	0.061572
traveler	0.0612615
angler	0.0611563
"Isaac Stern"	0.0611065
diner	0.0607841
migrant	0.0603583
deserter	0.0601428
"senior citizen"	0.0600115
Mozambican	0.0596152
businessmen	0.0592881
buyer	0.0591794
trainee	0.0589771
camper	0.0589585
schoolchildren	0.058807
"staff member"	0.0587648
Arizonan	0.058565
churchgoer	0.0585134
celebrant	0.0583437
Tibetans	0.0581606
"college student"	0.0581404
theatergoer	0.058096
passersby	0.0580942
"keynote address"	0.0575114
Liberian	0.0573571
claimant	0.0572705
enumerators	0.0571639
faithful	0.0568349
"union worker"	0.056774
Reader	0.0563746
homebuyers	0.0563308
"Southern Democrats"	0.0562627
Ugandan	0.0559337
"Iraqi POWs"	0.0559144
"job seeker"	0.0558936
Kosovars	0.055773
"New York Democrats"	0.0557535
donor	0.0557415
detainee	0.0557369
"faculty member"	0.0557321
entrant	0.0556329
attendant	0.05552
respondent	0.0551843
enrollee	0.054894
commuter	0.0548685
"club member"	0.0546427
"South Carolinian"	0.0544122
birder	0.0543672
gambler	0.0543376
aficionados	0.0543255
loyalist	0.0542239
depositor	0.0542124
VIP	0.0541936
sortie	0.0538977
townspeople	0.0538742
Navajos	0.0537864
contestant	0.0537542
dieters	0.0536609
sufferer	0.0535414
attendance	0.0535267
"university student"	0.0534711
foreigner	0.053341
sightseer	0.0532686
"East Timorese"	0.0532022
bettor	0.0530823
villager	0.053058
metical	0.0530514
countrymen	0.0530251
enthusiast	0.0527898
"home buyer"	0.0527033
Cuban-Americans	0.0525589
decision-makers	0.0525362
Bosnians	0.0525299
Honduran	0.0523566
caller	0.0520882
"Wall Street analyst"	0.0519309
celebs	0.0517466
educator	0.051557
retiree	0.0515407
gawkers	0.0515185
vendor	0.0514026
gamers	0.0510093
"Kosovo Albanians"	0.051
"New Yorker"	0.0509423
Taiwanese	0.0509076
Californian	0.0508506
miner	0.0507763
staffer	0.0506715
"Orthodox Jews"	0.0506033
juror	0.0505437
subscriber	0.0504983
pupil	0.050236
Texan	0.0501641
Nepalese	0.0501576
midshipmen	0.050047
fourth-graders	0.0499636
"committee member"	0.0498916
firefighters	0.0498218
Orangemen	0.0498213
"AIDS patient"	0.0497076
"Sierra Leonean"	0.0496891
aspirant	0.049585
contributor	0.0494974
Kansan	0.0492703
"council member"	0.0492039
stargazer	0.0490028
Kurds	0.0489023
advertiser	0.0488301
Floridian	0.0487842
Bostonians	0.0487025
adherent	0.0486172
youngster	0.0485909
tenant	0.048463
Ethiopian	0.0484565
"Kosovo Serbs"	0.0484296
Frenchmen	0.0483909
Jordanian	0.0482181
"bird watcher"	0.0482162
"National Guardsmen"	0.0482011
moderator	0.0481796
searcher	0.0479779
servicemen	0.0479655
"New Englander"	0.0478813
"military personnel"	0.0478768
"Albanian Kosovars"	0.0478095
vacationer	0.0477656
))
(attention (desc 157535) (sims
reaction	0.133689
support	0.128443
response	0.127661
respect	0.126227
scrutiny	0.120537
publicity	0.117063
criticism	0.113369
help	0.112203
commitment	0.109413
money	0.107085
focus	0.104898
recognition	0.102857
interest	0.102484
praise	0.101886
enthusiasm	0.10151
approach	0.100095
regard	0.0991917
pressure	0.0988596
concern	0.0975936
contribution	0.0974326
exposure	0.0961164
sensitivity	0.0952801
emphasis	0.0949381
affection	0.0946767
sympathy	0.0934362
ability	0.092988
responsibility	0.0919339
confidence	0.0918631
success	0.0917569
patience	0.0916345
attitude	0.0909692
assistance	0.0907625
access	0.0904847
effort	0.0901085
advice	0.0901075
coverage	0.0889149
importance	0.0877045
awareness	0.0875749
excitement	0.0869687
willingness	0.086301
credibility	0.0862089
energy	0.0860275
eye	0.0858358
addition	0.0854691
comment	0.0851127
action	0.0842834
information	0.0840861
priority	0.0839658
acclaim	0.0836204
loyalty	0.0834369
expectation	0.0833917
momentum	0.083106
experience	0.0830987
power	0.0828366
skill	0.0827336
reference	0.082698
talent	0.0825878
objection	0.0825772
resource	0.0825762
spotlight	0.0824197
influence	0.0822956
mind	0.082184
backing	0.0821347
knowledge	0.0820256
desire	0.0819836
opinion	0.0816328
imagination	0.0813143
care	0.0812537
emotion	0.0811054
change	0.0805587
question	0.080543
thought	0.0803527
admiration	0.0802369
hype	0.079603
challenge	0.0788636
devotion	0.0787976
role	0.0787299
treatment	0.0786741
presence	0.0786324
indifference	0.0785845
controversy	0.0782124
flexibility	0.078012
notoriety	0.0774769
opposition	0.0774545
passion	0.0771203
participation	0.0767503
behavior	0.0764726
encouragement	0.0763435
guidance	0.0763215
expertise	0.0758426
suggestion	0.0750595
need	0.0749796
work	0.0748911
resistance	0.0748215
activity	0.0747737
demand	0.074585
threat	0.0745127
opportunity	0.0743993
reputation	0.0743688
strength	0.0742582
perception	0.0742091
popularity	0.0741923
feeling	0.0741775
approval	0.074135
funding	0.074099
decision	0.0740889
clout	0.0740636
answer	0.073874
debate	0.0736999
endorsement	0.0735425
dedication	0.0734738
thinking	0.0734574
fame	0.0734393
life	0.0733412
skepticism	0.0732253
buzz	0.0731898
right	0.0731483
anxiety	0.0730615
honor	0.0729736
impact	0.0728546
accountability	0.072682
training	0.072343
input	0.0722908
sense	0.072013
determination	0.0718777
reluctance	0.071733
intensity	0.0716625
request	0.0716413
acceptance	0.071396
ire	0.0711346
benefit	0.0709815
risk	0.0707312
problem	0.0706514
news	0.0705586
involvement	0.070376
prestige	0.0703183
audience	0.070282
accolade	0.0701122
love	0.0700928
perspective	0.0699354
idea	0.0699348
comfort	0.0698203
judgment	0.0697695
credit	0.0696524
performance	0.0694723
job	0.0694594
distraction	0.0693953
number	0.0693857
view	0.0693768
protection	0.0693446
intervention	0.0692348
wealth	0.0691308
trust	0.0689835
"hard work"	0.068938
aid	0.0687884
education	0.0686258
supervision	0.0685286
applause	0.0682026
urgency	0.0681288
consideration	0.0680067
frustration	0.0679302
relief	0.0679192
fear	0.0678953
relevance	0.0677096
status	0.0676595
appeal	0.0674544
damage	0.0674458
vote	0.0673964
appreciation	0.0671503
understanding	0.0670902
recommendation	0.0670636
discipline	0.0670398
nomination	0.0668116
policy	0.0667278
chance	0.0666926
diversity	0.0666748
thing	0.0666668
gift	0.066582
profile	0.06658
trouble	0.0664025
solution	0.0663948
quality	0.0662619
speculation	0.0662128
cooperation	0.0662028
return	0.0661696
word	0.0661568
progress	0.0660705
worry	0.0660705
discussion	0.0660679
oversight	0.0660527
boost	0.0660061
appetite	0.0659495
strategy	0.0658225
leadership	0.0658142
wish	0.0658059
report	0.06579
outrage	0.0655781
achievement	0.0654285
concentration	0.0652433
freedom	0.0652242
))
(attentiveness (desc 1267.17) (sims
"detective work"	0.0577055
succor	0.0564613
keystrokes	0.0536558
responsiveness	0.0516781
oomph	0.0442597
contemplation	0.0409075
punctuality	0.0407857
predisposition	0.0407784
dependability	0.0406976
"heart rate"	0.0401946
))
(attic (desc 6330.85) (sims
basement	0.109482
"deposit box"	0.105024
cellar	0.0816645
garage	0.0746433
attics	0.074162
"glove compartment"	0.0713852
"front room"	0.070167
closet	0.0693349
drawer	0.0669453
"back room"	0.0669312
bathroom	0.0645681
duct	0.0631121
freezer	0.0628253
cave	0.0607696
bedroom	0.0601923
"living room"	0.0600239
torching	0.058685
foyer	0.057448
"front yard"	0.0567506
"family room"	0.0566559
vestibule	0.0563536
cupboard	0.0559289
Dumpster	0.0558147
cockpit	0.0547603
backyard	0.0536778
"line of fire"	0.0535706
bathtub	0.0532344
compartment	0.0531086
trunk	0.0525273
"hole in the ground"	0.0511608
"cargo container"	0.0510113
courtyard	0.0507737
Hialeah	0.0493481
patio	0.0491773
Zonolite	0.0484609
pantry	0.0484398
hallway	0.0479539
bookcase	0.0477776
"storage room"	0.0467621
dustbin	0.0463582
doorway	0.044309
stairwell	0.0435298
"file cabinet"	0.043132
Icebox	0.0430323
suitcase	0.0423934
bowel	0.0420111
"penalty box"	0.0419561
"chicken coop"	0.0416113
storeroom	0.0412711
"back yard"	0.0410305
refrigerator	0.0405586
hive	0.0404673
driveway	0.0402989
porch	0.0402297
))
(Attica (desc 3292.01) (sims
"San Quentin"	0.176134
"state prison"	0.0910179
Buchenwald	0.0872433
Katanga	0.0824048
"Rikers Island"	0.0779788
Ruhengeri	0.0732735
Auschwitz	0.0729874
Zapatista	0.0726891
Jasenovac	0.0701542
Bekaa	0.0691248
Soweto	0.0618852
Tigray	0.0614969
"New Jersey State Police"	0.0614906
Copperbelt	0.0614445
Xenia	0.0608549
"concentration camp"	0.0599436
Columbine	0.0557405
Kijevo	0.0553914
Irvington	0.0550908
Tunceli	0.0543351
Brixton	0.0542553
Balochistan	0.0542497
"Chiang Rai"	0.0542117
Pelham	0.0535643
Youngstown	0.0532462
Vojvodina	0.0531934
Sulawesi	0.0526673
Basilan	0.052066
Herat	0.0519201
polytechnic	0.0514818
Gauthe	0.0511105
"rift valley"	0.0506799
Huntsville	0.0505573
"Branch Davidian"	0.0503319
Mpumalanga	0.0499515
intifada	0.0499202
"Surat Thani"	0.0498201
"North Maluku"	0.0497427
Elmira	0.0496405
BIE	0.0494397
"Delta State"	0.0491468
penitentiary	0.0485064
Puglia	0.0483636
Catskill	0.0483134
Sofala	0.0481683
Davidian	0.0477245
Nyanza	0.0472329
Vlore	0.0469608
"Gun Ri"	0.0463907
"CHIANG MAI"	0.0462724
Umbria	0.0461809
MINEOLA	0.0461526
Antioquia	0.0461083
Pampanga	0.0457284
Nagorno-Karabakh	0.0456787
Maoist	0.0456346
Gisenyi	0.044729
"Forest Hills"	0.0447271
BASQUE	0.0447201
Kemper	0.0445996
Catalonia	0.0445244
"Flagler County"	0.044422
"Northern Irish"	0.0443562
Aceh	0.0441313
Sulu	0.0438974
Cotabato	0.0438764
self-censorship	0.0438224
Sindh	0.0437938
Plattsburgh	0.0437145
Najaf	0.0433804
Abkhazia	0.043291
Tete	0.0431992
"Mount Carmel"	0.0430368
Diyarbakir	0.0430145
Batticaloa	0.0429199
Walpole	0.0428292
Alcatraz	0.0427956
Alamo	0.0426813
"Long Island City"	0.0426743
Montauk	0.0426418
Poughkeepsie	0.042594
Putumayo	0.0424968
Jericho	0.042462
Benguela	0.0420688
Yuma	0.0418135
Shu	0.0417168
"Montgomery County"	0.0417058
Bamiyan	0.0415934
Aegean	0.041541
bethel	0.0414967
"Suffolk County"	0.041405
Hakkari	0.0413539
Hillsborough	0.0412245
Riau	0.0407118
Shirley	0.0406885
"Dutchess County"	0.0402498
Luzon	0.0402365
"Bekaa Valley"	0.0401782
Krasnoyarsk	0.0400803
Maguindanao	0.0400276
Meta	0.0400138
))
(attics (desc 2524.06) (sims
closet	0.0943513
"bomb shelter"	0.0936287
drawer	0.0860845
carport	0.085142
cellar	0.0822443
"Suddenly Susan"	0.0781732
attic	0.074162
pantry	0.0721144
countertops	0.0705088
fridge	0.0671392
"deposit box"	0.0644128
cask	0.0626898
"first floor"	0.0618165
"duffel bag"	0.0614099
"storage room"	0.0611367
"dorm room"	0.0607972
freezer	0.060514
garret	0.0594929
cupboard	0.0586152
cavity	0.0584366
"trash can"	0.0584131
"trash bin"	0.0575271
Dumpster	0.0561494
"rec room"	0.0558348
"medicine cabinet"	0.055755
"air duct"	0.0556826
gazebo	0.0550322
"file cabinet"	0.0539044
"bank vault"	0.0537128
"back room"	0.0533424
"recreation room"	0.0531495
"fire station"	0.0526301
"family room"	0.0514744
"hole in the ground"	0.0511884
duct	0.0494103
"display case"	0.048528
"piggy bank"	0.0479271
playroom	0.0468222
stairwell	0.0466157
"vacant lot"	0.0460525
moat	0.0452839
storeroom	0.0451232
bookcase	0.0434995
"subway station"	0.0427793
"water tank"	0.0420054
"storage area"	0.0418002
"wine cellar"	0.0409015
"apartment house"	0.0405953
latrine	0.040388
kennel	0.0402226
birdbath	0.0400023
))
(attire (desc 13026.7) (sims
garb	0.128271
"business suit"	0.11864
getup	0.103304
Outfit	0.100769
dress	0.100241
regalia	0.0982276
costume	0.0966201
finery	0.0958815
wardrobe	0.0926667
robe	0.0905338
Clothing	0.0903499
uniform	0.0899128
shirt	0.0896871
"military uniform"	0.0883819
"blue jean"	0.0872878
cloth	0.0861096
jacket	0.0844202
pant	0.0829214
skirt	0.0781622
tunic	0.0780059
overcoat	0.0778437
headdress	0.0772597
pajama	0.0771832
"leather jacket"	0.0759253
beret	0.0753438
tuxedo	0.0748416
bra	0.0747789
raincoat	0.0745405
sweater	0.0737904
turban	0.0734601
underwear	0.0732602
jean	0.0723713
sneaker	0.0722433
slack	0.0718587
camouflage	0.0718465
sweatshirt	0.0717431
hat	0.0711651
gown	0.0708808
"polo shirt"	0.0708259
"cowboy hat"	0.0700632
khaki	0.0699138
jumpsuit	0.0693162
pantsuit	0.069244
"cowboy boot"	0.0681634
swimsuit	0.067995
coat	0.067507
scarf	0.0673306
Sari	0.0669938
bodysuits	0.0667286
sportswear	0.0665853
hairpiece	0.0662392
T-shirt	0.0660808
"street clothes"	0.0660633
sunglasses	0.0656997
knickers	0.0653045
wig	0.0651198
"top hat"	0.0648978
kimono	0.0646343
sandal	0.0646077
blouse	0.0644359
trouser	0.06371
"black tie"	0.063355
"fur coat"	0.0632752
tights	0.0625736
ensemble	0.0619307
"bathing suit"	0.0611652
veil	0.0610728
shoe	0.0606725
bikini	0.0602167
footwear	0.0581243
bathrobe	0.0581067
"evening gown"	0.057813
"trench coat"	0.0574724
decorum	0.0574293
mustache	0.0570329
apron	0.0567361
manner	0.0565074
vest	0.0562447
demeanor	0.0559358
Pantsuits	0.0555527
decor	0.0554675
turtleneck	0.0554258
"life jacket"	0.0552482
moustache	0.0552339
"bulletproof vest"	0.0547475
"evening dress"	0.0545599
"wedding gown"	0.0543717
blazer	0.054205
lingerie	0.0541222
clothes	0.0540459
"nose ring"	0.0539579
Etiquette	0.0537954
ponytail	0.0536867
fatigues	0.0533688
"dress shirt"	0.0532255
jersey	0.0528495
smock	0.0528156
"ski mask"	0.0525307
slicker	0.0524864
miniskirt	0.052369
"dark glasses"	0.0520453
dresser	0.0516519
setting	0.0512521
yarmulke	0.0512404
"cocktail dress"	0.0509072
cloak	0.0507912
"bow tie"	0.0504357
apparel	0.0503267
skullcap	0.0503172
pinstripes	0.0499668
cardigan	0.0494919
bandana	0.0494443
bodysuit	0.0494439
denim	0.0492652
windbreaker	0.0492306
"tennis shoe"	0.0491845
pajamas	0.049099
lifestyle	0.0487552
hairdo	0.048698
accessory	0.0486291
boot	0.0485893
"wedding dress"	0.0485352
dreadlocks	0.0483556
frock	0.0482004
"pants suit"	0.0478162
leotards	0.0475572
Beard	0.0473938
fatigue	0.0473863
fedora	0.0473222
helmet	0.0472824
undershirt	0.0471231
"baseball cap"	0.0469486
silhouette	0.0467999
shorts	0.0465192
corset	0.0464817
halter	0.0464037
trapping	0.0463851
garment	0.0463315
headband	0.0461049
headgear	0.046096
Cape	0.0459672
bandanna	0.0457994
panty	0.0456252
regimen	0.0456048
rite	0.045493
"straw hat"	0.0453912
ritual	0.04527
makeup	0.0450371
spandex	0.0449468
goggles	0.0445017
fabric	0.0444801
"life style"	0.0444728
nihilism	0.0443779
hairstyle	0.0443309
dud	0.0440689
nightgown	0.0439585
braid	0.0438092
midriff	0.0437996
"contact lense"	0.043778
earring	0.0436461
sideburn	0.0435579
sock	0.0432729
slacks	0.043143
habit	0.0431267
"living arrangement"	0.0428801
waistband	0.0428142
handbag	0.0427867
linen	0.0423697
parka	0.0422374
moniker	0.042176
haircut	0.0416353
furnishings	0.0415767
jewelry	0.0415651
showmanship	0.041352
shawl	0.0411708
satin	0.0407623
vestment	0.0407119
armor	0.0406197
suspender	0.0405913
surroundings	0.0405076
shade	0.0404687
"good looks"	0.0403168
"belt buckle"	0.0402857
elegance	0.0402812
pants	0.0401735
"hard hat"	0.0400837
))
(attitude (desc 136287) (sims
stance	0.169233
approach	0.158183
behavior	0.153789
policy	0.138634
mood	0.132523
style	0.131006
feeling	0.129078
tone	0.128798
personality	0.128048
mentality	0.127212
perception	0.124383
sentiment	0.123597
spirit	0.121975
willingness	0.120451
determination	0.120035
view	0.119221
confidence	0.117241
thinking	0.114868
habit	0.114826
ability	0.11479
opinion	0.114085
manner	0.113379
demeanor	0.113092
belief	0.11304
philosophy	0.112631
reaction	0.112134
commitment	0.111205
desire	0.11072
sense	0.108802
enthusiasm	0.108776
ethic	0.108689
tactic	0.108205
position	0.106833
trend	0.106571
experience	0.105442
response	0.105124
skill	0.104614
culture	0.104456
quality	0.104204
atmosphere	0.102887
tendency	0.10286
outlook	0.102792
strategy	0.102423
nature	0.102158
vision	0.101872
idea	0.100763
action	0.0998722
emotion	0.0989588
posture	0.0988998
perspective	0.09865
intention	0.0985797
relationship	0.0985319
lack	0.0982809
comment	0.0979361
performance	0.0978649
mindset	0.0974259
image	0.0973684
role	0.096762
reluctance	0.0966149
interest	0.0962199
decision	0.0961208
refusal	0.0960132
passion	0.0945024
prejudice	0.0938679
expectation	0.0936129
remark	0.0934905
optimism	0.0932195
patience	0.0931908
lifestyle	0.0925628
politics	0.0925003
support	0.0924608
concern	0.092414
climate	0.0921746
discipline	0.0919854
strength	0.0919185
rhetoric	0.0918988
courage	0.0918527
effort	0.0912943
attention	0.0909692
tradition	0.0906505
timing	0.0906098
knowledge	0.0905897
loyalty	0.0905046
wisdom	0.0904251
situation	0.0900135
humor	0.0900085
character	0.0895564
pattern	0.0895134
stand	0.0894586
bias	0.0890022
intensity	0.0889012
taste	0.0886412
fact	0.0885825
viewpoint	0.0884747
talent	0.0882611
temperament	0.0880426
sensibility	0.0879561
practice	0.0879534
leadership	0.0877968
ideology	0.08754
motivation	0.087159
indifference	0.0869615
judgment	0.0865674
failure	0.0865618
conduct	0.0864853
intelligence	0.0864631
awareness	0.0864333
instinct	0.0864127
value	0.0861301
presence	0.0861059
statement	0.0858813
"sense of humor"	0.0854863
honesty	0.0853142
ambition	0.0852191
move	0.0851756
dedication	0.0848104
toughness	0.0845693
thought	0.0837988
resolve	0.083235
"point of view"	0.0831897
look	0.0831568
sensitivity	0.0827298
participation	0.0826544
understanding	0.0824101
hostility	0.0823423
progress	0.0822149
language	0.081953
success	0.0818691
change	0.0816373
aspiration	0.081572
achievement	0.081469
inability	0.0814642
responsibility	0.0813048
"foreign policy"	0.0812697
mind	0.0812418
Openness	0.0811081
technique	0.080932
identity	0.080888
influence	0.0808054
thing	0.080672
life	0.0805999
stereotype	0.0805511
reality	0.0805483
diversity	0.0804557
ambivalence	0.0803751
interpretation	0.0803524
problem	0.0800975
need	0.0799563
gesture	0.0797252
kind	0.0797181
concept	0.0795622
anxiety	0.0794112
reputation	0.0793336
morality	0.0792639
anger	0.079184
fear	0.0788663
Chemistry	0.0787955
faith	0.0787417
message	0.0786139
arrogance	0.0784165
pride	0.0784098
acceptance	0.0783052
unwillingness	0.0782659
demographics	0.0780234
proposal	0.0779584
"economic policy"	0.0779373
notion	0.0778309
credibility	0.0777399
criticism	0.0777104
principle	0.077675
respect	0.0775941
Creativity	0.0775662
assumption	0.0775601
voice	0.0774812
condition	0.0773309
"hard work"	0.0771691
rejection	0.0770816
environment	0.0770089
direction	0.0769354
history	0.0768127
demand	0.0768083
structure	0.0767519
status	0.0766717
activity	0.0766478
tolerance	0.0765286
preference	0.0762254
suggestion	0.0760419
expression	0.075959
skepticism	0.0758658
wish	0.0757034
persona	0.0755705
method	0.0755157
professionalism	0.0754253
focus	0.075394
involvement	0.0753632
theme	0.0752063
measure	0.0751961
violence	0.0751361
aggressiveness	0.0750891
theory	0.074943
))
(ATTLEBORO (desc 1152.04) (sims
Stockbridge	0.152334
Westfield	0.145439
Hyannis	0.142397
Brockton	0.132031
Holyoke	0.129038
Easton	0.121634
Braintree	0.118463
Needham	0.117317
Marlborough	0.117113
Woburn	0.106379
Burlington	0.103102
Brookline	0.102978
Walpole	0.0998189
Irvington	0.0997789
Ipswich	0.0980277
Framingham	0.0963438
Melrose	0.0951627
Pittsfield	0.093776
Roxbury	0.0931428
Falmouth	0.0926895
Watertown	0.0923677
"East Orange"	0.0919485
Amherst	0.0919029
Groton	0.0896639
Chatham	0.0894764
"Walnut Creek"	0.0893529
"Woods Hole"	0.0884372
Wellesley	0.0882386
Waterbury	0.0868365
LAKEWOOD	0.0860134
Malden	0.0853153
Peabody	0.0845137
"Essex County"	0.0843491
Middleton	0.0836304
Medford	0.0835965
Somerville	0.083577
Lenox	0.0831795
Burlingame	0.0822802
Foxboro	0.0820346
Rockville	0.08154
Andover	0.0806463
"Fall River"	0.0797431
"Overland Park"	0.0789236
Acton	0.0782789
Norwood	0.0782456
Winchester	0.0777115
Waltham	0.0775219
"Coral Gables"	0.0773892
Provincetown	0.0767163
Charlestown	0.0765402
Hialeah	0.0742617
"Flagler County"	0.0739774
"Fort Collins"	0.0739475
Yonkers	0.0738476
Shawnee	0.0736229
Worcester	0.0731246
Sausalito	0.072354
Williamstown	0.0717816
Beverly	0.0713001
"Boca Raton"	0.0709608
Okinawan	0.0694595
"Boynton Beach"	0.0693523
Carlisle	0.0690492
Gloucester	0.068811
Reston	0.0687587
Bethesda	0.0685255
Rockport	0.0680104
Pelham	0.0679709
Milton	0.0678241
Quincy	0.0674151
Vilnius	0.066817
"Thousand Oaks"	0.0663501
"Hyannis Port"	0.0663366
Northampton	0.0662704
Chatsworth	0.066046
"Mill Valley"	0.0655858
Marlboro	0.0655811
Paterson	0.0654818
plainclothes	0.065267
"Santa Rosa"	0.0651797
Winthrop	0.0641977
"Grand Junction"	0.0638313
Bangor	0.0636562
"New Rochelle"	0.0635321
Milford	0.063069
Bedford	0.0628791
Bridgewater	0.0628637
Macoris	0.0626226
Hopkinton	0.0617787
Morristown	0.0614903
Randolph	0.0612223
Englewood	0.0611489
Glendale	0.0609367
Plano	0.0604489
Mansfield	0.060178
Bronx	0.0598715
Wakefield	0.0596422
"Fort Lee"	0.0594461
Vukovar	0.0592307
Hatfield	0.0592293
"College Park"	0.059178
"Northern Irish"	0.0588262
Schenectady	0.0584036
Plattsburgh	0.05834
Tempe	0.0579812
"Palo Alto"	0.057979
Farmington	0.0577912
"New Haven"	0.0571221
Vallejo	0.0569673
Decatur	0.05681
Brewster	0.0562644
Encino	0.0553674
Ashland	0.0548234
Sunnyvale	0.0548046
"Bergen County"	0.0545724
BRIGHTON	0.0545389
Chattanooga	0.0545019
Wallingford	0.0541869
Cr	0.0537391
"Jersey City"	0.0535445
"Woodland Hills"	0.0534063
"Delray Beach"	0.0533656
Orleans	0.0531836
Stamford	0.0530979
Surrey	0.0527711
"Surat Thani"	0.0526813
Wilmington	0.0523901
non-Muslim	0.0522927
Essex	0.0522579
Japanese-American	0.0521899
"Huntington Beach"	0.0521446
Ridgewood	0.052037
Xenia	0.0514428
Lancaster	0.0513348
"Santa Fe"	0.0512503
Akron	0.0508709
down-and-out	0.0506339
"Lake Worth"	0.0506154
Gainesville	0.0505673
"Brooklyn Heights"	0.050376
"South San Francisco"	0.0502528
Montenegrin	0.050244
Bloemfontein	0.0501634
Deerfield	0.0501395
Carrollton	0.0501057
"Port St. Lucie"	0.049798
Norwich	0.0496673
"more than @@@@"	0.0494852
"Washington Heights"	0.0494586
Lyme	0.0489251
"Century City"	0.048474
Pairgain	0.048464
"Tarrant County"	0.0484551
Brunswick	0.0484413
"dog bite"	0.0484059
Bloomington	0.0483254
Passaic	0.0482651
Peterborough	0.0482418
Jamestown	0.0480888
"St. Louis Post-Dispatch"	0.04808
Muslim-Croat	0.0478698
Bridgeport	0.0477401
"East St. Louis"	0.0477124
Fairfax	0.0476613
ASHEVILLE	0.0476342
non-Jewish	0.0476003
"North Hollywood"	0.0475521
Dearborn	0.0475332
"Montgomery County"	0.0475158
Leawood	0.0475145
"Redwood City"	0.0472985
Guayaquil	0.0470981
Lewiston	0.0469306
Bellevue	0.0468683
Middletown	0.0465457
Poughkeepsie	0.0465251
Reseda	0.0464629
"San Rafael"	0.0458766
midsize	0.0455033
Ensenada	0.0453641
"Jackson County"	0.0452294
"Ocean City"	0.0451226
Evanston	0.0450026
Fairfield	0.044926
"computer business"	0.0444574
Norcross	0.0443492
"Orthodox Jewish"	0.0443273
Maasai	0.0441701
"Mission Viejo"	0.0440886
"Garden City"	0.043925
"DeKalb County"	0.0439235
Rutherford	0.0438531
Kennebunkport	0.043838
Fairbanks	0.0436676
Oxnard	0.0436395
"Virginia Beach"	0.0435404
"Fairfax County"	0.0434015
Modesto	0.0433981
"Culver City"	0.0433279
"Newport Beach"	0.0433109
))
(Atto (desc 1356.92) (sims
"Osman Atto"	0.360778
"Ali Mahdi"	0.301499
"Hussein Aidid"	0.241509
Aidid	0.223391
"Osman Ali Atto"	0.202553
Aideed	0.150371
"Ali Mahdi Mohamed"	0.148457
"Hussein Mohamed Aidid"	0.145394
Mahdi	0.142744
"Osman Hassan Ali Atto"	0.125757
Masood	0.107542
Gantamirov	0.106256
Rabbani	0.0852196
Dostum	0.0848355
"Rahanwein Resistance Army"	0.083164
Barzani	0.080282
Koroma	0.0707047
Choate	0.070613
Hekmatyar	0.0699628
Wamba	0.0670443
Tsvangirai	0.0638334
Husseini	0.0633259
Guei	0.0620464
Fulani	0.0620292
Pryor	0.0613456
Zuma	0.0611272
Bruton	0.0608386
PLO	0.0589055
Maslyukov	0.0583421
Arens	0.0577408
Kuchma	0.0567363
Zhirinovsky	0.056436
Angara	0.0564291
Lissouba	0.0563335
Lockyer	0.0562747
Schell	0.0558709
Komura	0.0556994
Inhofe	0.0555201
"Ahmed Tibi"	0.0551758
Westendorp	0.0548291
Basayev	0.0541658
Weldon	0.0540249
"Al Fayed"	0.0535751
Garang	0.052682
Demaci	0.0524976
Yavlinsky	0.0522188
"Dos Santos"	0.0521606
Scharping	0.0515078
Erwin	0.0509787
Valenti	0.0502097
Rudman	0.0499162
Takeshita	0.0498311
Ruggiero	0.0494952
Windom	0.0491271
MURTHA	0.0489819
Wendt	0.0486959
Lovett	0.0485985
Rylander	0.0482921
Bronfman	0.0481321
Connerly	0.0481135
Ashrawi	0.0480532
Jovanovic	0.0479849
Fyodorov	0.0478918
Kesri	0.0475228
Bulatovic	0.0473622
Constantinescu	0.0473542
Ikimi	0.0473273
Shevardnadze	0.0472503
Maskhadov	0.0467947
Bildt	0.0465492
Arkan	0.0462717
Rakhmonov	0.0460363
Nkomo	0.0459645
Orban	0.0452788
Yazdi	0.0451315
Ranariddh	0.0448201
Steiner	0.0447663
Rendell	0.0445355
Malik	0.0444213
al-Sahaf	0.044295
Hayworth	0.044188
Mizrahi	0.04407
Bratton	0.0440106
Bouchard	0.0437979
Montiel	0.0437952
Harkin	0.0437775
Rifkind	0.043427
Fernandes	0.0433935
Flanagan	0.0433462
RRA	0.0433158
Alarcon	0.0430658
Koop	0.0430259
Diouf	0.0430059
McGuinness	0.0427395
Rossello	0.0426133
Marehan	0.042358
Baer	0.0422399
CPN-ML	0.0419632
Khamenei	0.0419111
MQM	0.041768
Berlusconi	0.0417561
Mobutu	0.0417327
Hagelin	0.0416407
Nateq-Nouri	0.0415541
Frei	0.0415254
"Juan Miguel"	0.0414938
Taft	0.0414145
Chevenement	0.0413944
Tauzin	0.0413613
Hauser	0.0413061
Strauss-Kahn	0.0412102
Calloway	0.0411488
"Palestine Liberation Organization"	0.0410055
Baugh	0.0409943
ABRI	0.040909
Naumann	0.0408568
Gutman	0.0408551
Sharansky	0.0408488
Maurizi	0.0406462
Modise	0.0405859
Eizenstat	0.0405317
Sumaye	0.0404478
Tevanian	0.0404443
Juma	0.0402819
Lamberth	0.0401985
McCaffrey	0.040078
Ghalib	0.0400598
Nasrallah	0.0400488
Dudayev	0.0400276
))
(Attorney (desc 145671) (sims
lawyer	0.378094
prosecutor	0.196725
Counsel	0.190084
judge	0.15863
"district attorney"	0.157894
investigator	0.131275
agent	0.126593
official	0.12509
executive	0.123193
commissioner	0.122609
"public defender"	0.121955
manager	0.121408
Sheriff	0.119445
doctor	0.117052
consultant	0.116405
officer	0.115043
Mayor	0.114038
aide	0.112554
physician	0.111244
adviser	0.111117
administrator	0.110447
director	0.11037
accountant	0.109788
spokesman	0.106613
senator	0.105788
secretary	0.105206
"defense team"	0.105011
lobbyist	0.104987
auditor	0.104825
representative	0.104784
expert	0.103605
lawmaker	0.102378
legislator	0.102352
trustee	0.102251
psychologist	0.100904
psychiatrist	0.100742
"grand jury"	0.100539
juror	0.100143
"trial lawyer"	0.0995593
supervisor	0.0995202
"Justice Department"	0.0991795
advocate	0.0986775
plaintiff	0.0984396
chief	0.0983067
General	0.098165
counselor	0.0968858
banker	0.0957492
member	0.0949692
Governor	0.0942961
engineer	0.0936894
businessman	0.0934505
regulator	0.0934122
teacher	0.0933748
witness	0.0924643
office	0.0919823
Magistrate	0.0919461
"investment banker"	0.0918789
spokeswoman	0.0914126
police	0.0914114
"police officer"	0.0914012
jury	0.0911551
specialist	0.0909745
scientist	0.0902642
"secretary of state"	0.0902587
journalist	0.0901708
employee	0.0898678
chairman	0.0897858
friend	0.089709
"FBI agent"	0.0894898
detective	0.0892171
assistant	0.0886899
analyst	0.0886068
Starr	0.0885074
"board member"	0.088218
President	0.0879381
diplomat	0.0876258
"vice president"	0.0873304
superintendent	0.0870908
"social worker"	0.0868962
reporter	0.0868685
defendant	0.0866691
associate	0.0863321
Congressman	0.0861035
"general counsel"	0.0858559
commander	0.0856393
owner	0.0853316
deputy	0.0853112
clerk	0.0847386
"federal official"	0.084662
nurse	0.0842986
politician	0.0841066
resident	0.0837404
FBI	0.0837088
researcher	0.0835933
"police chief"	0.0832968
leader	0.0830981
"chief of staff"	0.0829946
staff	0.082771
Councilman	0.0824025
publicist	0.0820548
broker	0.0819007
Ambassador	0.0816967
agency	0.0816662
planner	0.0814826
"general manager"	0.0810461
minister	0.0809877
parent	0.0808806
firm	0.0804649
educator	0.0801517
colleague	0.0799152
professor	0.0798688
surgeon	0.0798442
historian	0.0797291
supporter	0.0796966
treasurer	0.0796902
editor	0.0796286
architect	0.0792465
mother	0.0790417
authority	0.078916
activist	0.0789022
pediatrician	0.0788927
coach	0.0788054
"staff member"	0.07861
therapist	0.0784107
relative	0.077838
"medical examiner"	0.0777312
"U.S. District Court"	0.07752
writer	0.0774704
inspector	0.0769636
organizer	0.076745
group	0.0766029
economist	0.0762971
wife	0.0757922
"inspector general"	0.0755546
"committee member"	0.0755104
environmentalist	0.0751893
"federal court"	0.0751001
Democrat	0.0749945
pilot	0.0748297
negotiator	0.0748272
staffer	0.0747531
spokesmen	0.0747074
client	0.0746253
critic	0.0743995
case	0.074352
contractor	0.0742475
scholar	0.0742352
father	0.0742215
committee	0.0741185
pastor	0.0740971
Bos	0.0736566
developer	0.073554
coordinator	0.0734781
"chief executive"	0.0734269
stockbroker	0.0733678
native	0.0730708
justice	0.0728618
"cabinet minister"	0.0728188
"executive director"	0.0725788
court	0.0725539
family	0.0725309
"legal expert"	0.0723299
"Janet Reno"	0.0721971
worker	0.0719158
dentist	0.071898
author	0.0717545
Speaker	0.0713455
Republican	0.0712284
"police detective"	0.0711941
principal	0.0709731
mediator	0.0707541
"Kenneth Starr"	0.0707266
professional	0.0706675
employer	0.0706332
"family member"	0.0706222
appraiser	0.0703566
Chancellor	0.0699966
"press secretary"	0.0698951
organization	0.0698616
company	0.0698078
technician	0.0697725
advisor	0.0697613
Comptroller	0.0697271
"business executive"	0.0695127
publisher	0.0694041
"business leader"	0.0693488
partner	0.0690708
"police department"	0.0686215
"elected official"	0.0686123
trainer	0.0683017
"Department of Justice"	0.0682729
designer	0.0682515
correspondent	0.0676995
entrepreneur	0.0675143
Reno	0.0671264
panel	0.0670299
Clinton	0.0669303
prosecution	0.0669302
"foreign minister"	0.0669267
rabbi	0.0668602
))
("Attorney General" (desc 16877.9) (sims
attorney-General	0.107834
"Department of Transportation"	0.0968069
Comptroller	0.0906861
"Department of Education"	0.0853794
"postmaster general"	0.082954
"chief justice"	0.0817525
"public defender"	0.0808472
"inspector general"	0.0791165
"Department of Commerce"	0.0790549
"Eliot Spitzer"	0.0787791
"district attorney"	0.077758
commissioner	0.0761731
"solicitor general"	0.0757391
"medical examiner"	0.0749296
"Department of Labor"	0.0748533
"Justice Ministry"	0.0735704
Governor	0.0731944
treasurer	0.0719539
"surgeon general"	0.0714945
"Secretary of Defense"	0.0708658
Congressman	0.0708097
"secretary of state"	0.0702163
"Bill Lockyer"	0.0701212
"Department of Justice"	0.0677758
prosecutor	0.0675187
"Dennis Vacco"	0.0672723
"lieutenant governor"	0.0665146
secretary	0.0649888
"board of regents"	0.0648644
"Board of Elections"	0.0642443
regulator	0.0642001
"drug czar"	0.0638875
"Department of Environmental Protection"	0.0633759
"Health Department"	0.0625472
Lockyer	0.0613322
senator	0.0613264
"Federal Trade Commission"	0.0611985
"Justice Department"	0.0611714
"governor general"	0.0610763
"Department of Agriculture"	0.0605909
Ombudsman	0.060431
"Foreign Ministry"	0.0602238
"Secretary of Commerce"	0.0598903
"Transportation Department"	0.0595322
"state's attorney"	0.0592656
"finance minister"	0.0591031
"Education Department"	0.0589724
"Interior Ministry"	0.0587098
"board of education"	0.0586445
"Federal Communications Commission"	0.0584706
"Commission on Human Rights"	0.0584493
Ambassador	0.0583404
"U.S. Immigration and Naturalization Service"	0.0581153
Secretary-General	0.0578255
"foreign minister"	0.0577202
"Department of Environmental Conservation"	0.0577148
Procurator	0.0573971
Counsel	0.0573816
"William Cohen"	0.0571255
"House of Representatives"	0.0568296
"high commissioner"	0.056622
D.A.	0.0563382
AG	0.05607
"police chief"	0.0559199
FTC	0.0555888
Attorney	0.0553688
FDA	0.0551112
"Department of Health and Human Services"	0.0551091
"Department of Health"	0.0550608
legislature	0.0548683
CEC	0.0547892
"Dan Morales"	0.0546459
ACLU	0.0544073
"Peter Verniero"	0.0543186
legislator	0.0540724
"Securities and Exchange Commission"	0.0539822
EEOC	0.0539731
"Prime Minister"	0.0537561
"Drug Enforcement Administration"	0.0535687
"Fatos Nano"	0.0535639
"Education Ministry"	0.053435
"police department"	0.0533773
"John Cornyn"	0.053241
undersecretary	0.0531446
auditor	0.0530015
Magistrate	0.0528536
"Immigration and Naturalization Service"	0.052818
"Janet Reno"	0.0525131
"Ministry of Health"	0.0524639
"Environmental Protection Agency"	0.0524403
"insurance regulator"	0.0524148
"Minister Shlomo Ben-Ami"	0.0522203
"Secretary General"	0.052054
superintendent	0.0516928
Cornyn	0.0516796
EPA	0.0516508
"Federal Bureau of Investigation"	0.0515937
"Finance Ministry"	0.0514699
"appellate court"	0.0513274
"Labor Ministry"	0.0510001
"National Labor Relations Board"	0.0506169
"Equal Employment Opportunity Commission"	0.050526
"European Commission"	0.050524
Chancellor	0.0505052
"Department of Veterans Affairs"	0.050495
"Defense Ministry"	0.0501483
Ruthardt	0.0500627
vice-president	0.0500239
Morgenthau	0.0499844
"deputy foreign minister"	0.0498783
"Supreme Court"	0.0498013
Sheriff	0.0494942
"head of state"	0.0494834
lawmaker	0.0493003
"minister of finance"	0.0491821
administrator	0.0489826
Govt	0.0489132
ministry	0.0487674
"appeals court"	0.0486007
Judiciary	0.0484078
officeholder	0.0483802
"high court"	0.0480786
Ghalib	0.0480715
"regulatory agency"	0.0478974
"Home Ministry"	0.0478822
"election commission"	0.0478777
consul	0.0478586
"commanding officer"	0.0477442
Registrar	0.0476664
coroner	0.0476471
"Department of Motor Vehicles"	0.0475984
INS	0.0475608
"state senator"	0.047544
"Department of Corrections"	0.0472886
"Food and Drug Administration"	0.0472384
"National Sports Council"	0.0472316
"customs service"	0.047095
"Deve Gowda"	0.0470417
"Labor Department"	0.047009
"Health and Human Services Department"	0.0469516
"Benazir Bhutto"	0.0468818
"chief of staff"	0.0468815
"antitrust regulator"	0.046855
"Scott Harshbarger"	0.0465697
Moi	0.0465561
"Nuclear Regulatory Commission"	0.0464954
arbitrator	0.0464343
"North Atlantic Council"	0.0464131
"probation officer"	0.0462803
congressmen	0.0461664
SEC	0.0460463
"cabinet minister"	0.0460323
"Department of Energy"	0.0460032
prefect	0.0459404
"Immigration Department"	0.0459318
rector	0.0458944
"Jane Hull"	0.0458906
"Department of Foreign Affairs"	0.0458303
"fire chief"	0.0456608
"commander in chief"	0.0455624
commandant	0.0455435
OSHA	0.0454963
"executive branch"	0.0453095
scoutmaster	0.045203
"Russian Interior Ministry"	0.0451117
"Elyakim Rubinstein"	0.0449258
"P.V Narasimha Rao"	0.0447101
"Chuan Leekpai"	0.0446768
"grand jury"	0.0446654
"vice- president"	0.0446146
"Prime Minister Kamal El-Ganzouri"	0.044591
trooper	0.0444008
governorship	0.0443548
director-general	0.0442382
bureau	0.044198
"central bank"	0.044159
"cabinet member"	0.0439063
"vice chancellor"	0.0437386
"H.D Deve Gowda"	0.0437188
FBI	0.0436943
NLRB	0.0436017
"federal official"	0.0435832
"American Civil Liberties Union"	0.0435432
"prison guard"	0.0433463
"Bureau of Alcohol"	0.0430944
Westendorp	0.0430914
PUC	0.043081
"Agriculture Ministry"	0.0430612
"Christie Whitman"	0.0430203
"Department of Public Safety"	0.0429551
"De Klerk"	0.0429544
"general secretary"	0.0429482
"Federal Aviation Administration"	0.042891
"United Nations Security Council"	0.0427892
"U.N. Security Council"	0.0427851
"Commerce Ministry"	0.0427398
"court of appeals"	0.0427061
"Atal Bihari Vajpayee"	0.0426636
"State Council"	0.0426622
"tax collector"	0.0425732
))
("attorney-client privilege" (desc 4845.53) (sims
privilege	0.173543
immunity	0.126038
"Fifth Amendment"	0.123934
confidentiality	0.115965
"First Amendment"	0.10765
"right to privacy"	0.107101
ERISA	0.0995805
"Fourth Amendment"	0.0928102
secrecy	0.091666
"Endangered Species Act"	0.0888065
Ada	0.0855327
"patent right"	0.0843875
"Voting Rights Act"	0.0798284
statute	0.0759663
"U.S. Constitution"	0.0754691
clause	0.0743825
Copyright	0.0733778
"statute of limitations"	0.0726568
"Geneva convention"	0.0704827
"legal principle"	0.0689307
"Anti-Ballistic Missile Treaty"	0.0687105
"legal right"	0.0684193
"freedom of speech"	0.0674662
"antitrust law"	0.0672319
Privacy	0.0670821
discretion	0.0667266
"civil liberty"	0.0638014
jurisdiction	0.0633321
"public trust"	0.0632643
bylaw	0.0607204
Constitutionality	0.0599197
"rule of evidence"	0.0596089
"counsel law"	0.0593601
doctrine	0.0576131
injunction	0.0560543
exemption	0.0546059
amnesty	0.0544226
"law of the land"	0.0541215
prerogative	0.0540449
"Vienna Convention"	0.05349
"international law"	0.0534035
"Title VII"	0.0530089
"fundamental principle"	0.0523732
"civil rights"	0.0521311
"Civil Rights Act"	0.0516794
sanctity	0.0503135
"due process"	0.0500204
"property right"	0.0498651
validity	0.0496982
"Title IX"	0.0496217
Ordinance	0.0495522
"freedom of the press"	0.0493552
"Bill of Rights"	0.0493355
prohibition	0.0492148
"Antiquities Act"	0.0491281
"safety standard"	0.0490402
primacy	0.0484788
"Article @@@"	0.0484469
"air power"	0.0484406
"Clean Water Act"	0.0476478
"rule of law"	0.0472643
"criminal law"	0.0471382
"false statement"	0.0471028
"common law"	0.0467213
legality	0.0464457
"commercial law"	0.0463005
Innocence	0.0461352
"Simon Bolivar"	0.0457013
zoning	0.0452001
"trade embargo"	0.0451009
"Lusaka Peace Accord"	0.0444403
perjury	0.0442272
FTA	0.0440992
neutrality	0.0438729
impropriety	0.0438083
"ill health"	0.0437883
directive	0.0437535
"Sidney Blumenthal"	0.0436772
"medical record"	0.043664
wrongdoing	0.0434332
waiver	0.0430823
"employment contract"	0.0429889
organs	0.0427539
coverup	0.0425793
oath	0.042512
invincibility	0.0424484
exclusivity	0.042363
"parliamentary democracy"	0.0422073
objectivity	0.0421001
"trade bill"	0.0419044
wiretap	0.0419042
legitimacy	0.0417842
"collective bargaining"	0.041454
veil	0.041411
usefulness	0.0412646
presumption	0.0410656
semantics	0.0408828
"sexual harassment"	0.0407867
"labor agreement"	0.040427
truthfulness	0.0400062
))
(attorney-General (desc 3656.69) (sims
"postmaster general"	0.110681
"Attorney General"	0.107834
Ruthardt	0.107048
"solicitor general"	0.0937552
"public defender"	0.0928459
D.A.	0.0916468
Procurator	0.0897525
"Secretary of Commerce"	0.0871769
CEC	0.083199
"state's attorney"	0.0814891
Lamberth	0.0812698
Westendorp	0.0800527
Magistrate	0.079098
Garcetti	0.0786401
auditor-general	0.0760822
"inspector general"	0.0751187
concertmaster	0.074335
prefect	0.0729563
"Elyakim Rubinstein"	0.0723589
"Secretary- General"	0.0718002
rector	0.0714549
Kabariti	0.0707094
Bhattarai	0.0704518
"chief justice"	0.0704214
Ombudsman	0.070386
"Bashkim Fino"	0.0687686
"governor general"	0.0686926
"district attorney"	0.067883
"General Security Service"	0.0671045
"surgeon general"	0.0668795
Klestil	0.066804
Masire	0.0666834
Morgenthau	0.0662677
"drug czar"	0.0657903
"vice chancellor"	0.0655591
Barshefsky	0.0652982
treasurer	0.0645828
"National Sports Council"	0.0645602
Hynes	0.0636993
"medical examiner"	0.0634326
Thayer	0.0631256
commandant	0.0626457
Lockyer	0.062211
Comptroller	0.0619064
"Nuclear Regulatory Commission"	0.0618264
"Justice Ministry"	0.0617216
"De la Cruz"	0.0617064
Hevesi	0.0615574
"Tim Fischer"	0.0611773
Rubinstein	0.0602769
"military leader"	0.0601958
"National Election Committee"	0.0600891
"Foreign Ministry"	0.0600843
Fino	0.060001
"fire chief"	0.0599719
"Amos Wako"	0.0599704
"executive secretary"	0.0597259
"high commissioner"	0.059437
Registrar	0.0591813
LaBella	0.0591453
Teresi	0.0589976
"Secretary of Defense"	0.0584989
Soares	0.0583481
Verniero	0.0583176
Borodin	0.0581275
warden	0.0572029
Aventajado	0.0570985
"vice- president"	0.0566537
"Moses Tanui"	0.0564859
Moi	0.0562342
"special agent"	0.0559029
"Health Department"	0.0558692
"executive officer"	0.0558653
"minister of finance"	0.0558506
Rodionov	0.0558362
"general counsel"	0.0557926
"U.S. Labor Department"	0.0557713
vice-president	0.0557575
"cabinet member"	0.0554912
Chubais	0.0553764
Zico	0.0552925
auditor	0.0547362
"Wlodzimierz Cimoszewicz"	0.0547349
Cornyn	0.054305
procurator-general	0.0542503
Smaltz	0.054114
"Department of Justice"	0.054098
Axworthy	0.0539311
Baer	0.0536636
Iger	0.0535648
Hallinan	0.0534954
Patel	0.0533755
NHTSA	0.053229
Fabius	0.0531033
"Minister Shlomo Ben-Ami"	0.0530554
Siazon	0.05298
Feerick	0.0529767
"police chief"	0.0529505
"Boris Nemtsov"	0.0529209
"Yuri Maslyukov"	0.052868
NLRB	0.0526549
attache	0.0526158
"Lee Hsien Loong"	0.0526084
superintendent	0.0525664
"Michael Moore"	0.0525146
"EU Commission"	0.0524777
coroner	0.0522171
Ftorek	0.0522071
Ghalib	0.0520356
Yazdi	0.051865
Misuari	0.051788
Gullikson	0.0515659
Ciampi	0.0515116
Passarella	0.0514713
Skuratov	0.051287
"Home Ministry"	0.0512504
Koskinen	0.0512432
Brazile	0.0511418
"Truth Commission"	0.0510885
"Agriculture Ministry"	0.0509335
Abdel-Meguid	0.0509291
"John Calipari"	0.0508199
"Interior Ministry"	0.0507331
"Water Resources"	0.0506856
Carollo	0.0506159
"Sergei Stepashin"	0.050535
"Fayez Tarawneh"	0.0505003
NTSB	0.0503407
"business editor"	0.0502934
"Fatos Nano"	0.0502882
chairperson	0.0502691
"Eric Holder"	0.0501895
"Federal Council"	0.0500939
"Jean Chretien"	0.0498252
"Tareq Aziz"	0.0498088
NRC	0.0496451
"Peter Verniero"	0.0496082
Hybl	0.0496016
fritz	0.0495799
Warshaw	0.0495649
"director of public affairs"	0.0494203
inspectorate	0.0494003
Hoddle	0.0493835
Guei	0.0493779
"State Peace and Development Council"	0.049308
consul	0.0492768
"Paul Tergat"	0.0492584
director-general	0.0492545
Malu	0.0492046
"Alain Juppe"	0.0491461
FTC	0.0490699
PUC	0.0490666
Arens	0.0490349
"Ramsey Clark"	0.0488917
"Al Groh"	0.0488449
Korman	0.0488224
SJC	0.0487847
"Abdul Salam Majali"	0.0487117
parliamentarian	0.0486808
Danforth	0.0486294
"John Bruton"	0.0485182
EOHR	0.0484357
Postmaster	0.0484181
Procuratorate	0.0484181
"Laurent Fabius"	0.0483547
Alatas	0.0482424
"Mike Moore"	0.048222
"Central Bureau of Statistics"	0.0481544
"Secretary General Boutros Boutros-Ghali"	0.0480577
"Consumer Product Safety Commission"	0.0479404
"Speaker Ali Akbar Nateq-Nouri"	0.0478994
Buthelezi	0.0477773
"Bernard Barmasai"	0.0476891
Condit	0.0475893
"Valery Pustovoitenko"	0.0475681
Vasile	0.0475193
Isner	0.047498
"Jerzy Buzek"	0.0474789
Maharaj	0.0474702
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0474619
"Albanian Kosovo Liberation Army"	0.0474125
Tuttle	0.0469924
"Faisal Husseini"	0.0469402
Eizenstat	0.0468494
Maslyukov	0.0468263
"Charles Mukora"	0.0468079
"economic expert"	0.0467038
"Lamberto Dini"	0.0466473
"John Cornyn"	0.0466096
"Council of Ministers"	0.0466012
AG	0.0465783
"National Transportation Safety Board"	0.0464678
"Ethics Commission"	0.0464552
EEOC	0.0463364
"Foreign Affairs"	0.0463046
"Michael Von Gruenigen"	0.0463033
"Atal Bihari Vajpayee"	0.04621
"high court"	0.0462076
"Anatoly Chubais"	0.0462061
Ashrawi	0.0461932
))
(attraction (desc 75325.1) (sims
"theme park"	0.121062
destination	0.112326
resort	0.101517
park	0.096658
museum	0.0942388
hotel	0.0938671
site	0.0924126
restaurant	0.0912914
Entertainment	0.0901415
exhibit	0.0900609
venue	0.0840166
center	0.0827659
festival	0.0807722
"amusement park"	0.0805679
monument	0.0791386
facility	0.0791008
opportunity	0.0775049
magnet	0.0774406
spot	0.0773315
complex	0.0772571
theater	0.0755045
landmark	0.0750997
area	0.0748576
feature	0.0746484
amenity	0.0736867
event	0.0732232
garden	0.0730911
scenery	0.0730904
shop	0.073056
"shopping mall"	0.0725645
location	0.0714562
mall	0.0713039
attractiveness	0.0708305
ride	0.0703852
"shopping center"	0.0702962
"golf course"	0.0701144
haven	0.0696923
landscape	0.069352
store	0.0691098
fair	0.0684242
accommodation	0.067976
hub	0.0679754
tourism	0.067791
art	0.0676334
display	0.0676193
recreation	0.0675884
Exhibition	0.0670375
Mecca	0.0667188
service	0.0667066
project	0.0666808
resource	0.0665395
"financial center"	0.0663153
Casino	0.0661087
hobby	0.0658124
shrine	0.0657697
Lure	0.0657321
relic	0.0655707
allure	0.0655391
outlet	0.0655064
city	0.0653603
collection	0.0651946
inn	0.0645964
culture	0.0645628
business	0.0642561
potential	0.0642254
space	0.0641685
shopping	0.0639952
zone	0.063675
"art gallery"	0.0635281
image	0.0632186
home	0.0630557
item	0.063034
"industrial park"	0.0629788
gift	0.0629784
activity	0.0629678
beauty	0.0628509
beach	0.0626448
concert	0.06248
memorial	0.0624574
tool	0.0623518
building	0.0623411
theme	0.0622878
experience	0.0620035
"national park"	0.0619999
guide	0.0619809
tradition	0.0619071
architecture	0.0617871
library	0.0617626
fun	0.0616672
celebration	0.0616433
mystery	0.0614982
industry	0.061269
movie	0.0612336
heritage	0.0611686
"conference center"	0.0611636
playground	0.0610849
product	0.0609616
success	0.0606743
program	0.0605889
talent	0.060548
fare	0.0602851
tour	0.0602003
performer	0.0601381
thing	0.0600634
gallery	0.0600182
character	0.0600101
temple	0.0599231
celebrity	0.0599136
treasure	0.0598523
personality	0.0597759
enterprise	0.0597727
advantage	0.0596912
Portal	0.0596131
pavilion	0.0595487
zoo	0.0595373
symbol	0.0594805
value	0.0594748
motel	0.0593502
cafe	0.0593289
school	0.0592307
"entertainment center"	0.0591834
adventure	0.0590441
sport	0.0589953
icon	0.05883
spectacle	0.0587743
airport	0.0587188
characteristic	0.0586687
dining	0.0586421
hall	0.0586239
"movie theater"	0.0586046
appeal	0.058574
environment	0.0585246
lodging	0.05847
farm	0.0584044
development	0.0582911
sightseeing	0.0582898
option	0.0582719
performance	0.0582247
"exhibition hall"	0.0581537
film	0.0580576
history	0.057682
highlight	0.0576562
institution	0.0576378
structure	0.0575917
offering	0.0575166
port	0.0573695
alternative	0.057365
Housing	0.0572618
pleasure	0.0572067
accomplishment	0.0570124
source	0.0569952
quality	0.0569721
campgrounds	0.0569552
infrastructure	0.0569043
drama	0.0568501
room	0.0568249
choice	0.0567613
aspect	0.056655
aquarium	0.0566366
distraction	0.056601
excitement	0.0563888
convenience	0.0563755
challenge	0.0563621
incentive	0.0562941
"concert hall"	0.056233
shelter	0.0560773
winery	0.0560745
"department store"	0.0559948
scene	0.0559293
property	0.0559263
achievement	0.0559119
benefit	0.0557767
powerhouse	0.0557564
amusement	0.0557476
market	0.0556613
factory	0.0556523
brand	0.0556033
"travel agency"	0.0555404
topic	0.0555323
interest	0.0554912
artist	0.0554397
district	0.0553272
element	0.055318
thrill	0.0553066
presence	0.0552277
kind	0.0551746
story	0.0551056
bargain	0.0549043
problem	0.0548429
drawback	0.05471
sanctuary	0.0546657
"natural resource"	0.0546065
lesson	0.0544417
station	0.0544198
booth	0.0543388
village	0.0542602
bookstore	0.0541777
idea	0.0540162
SPA	0.0539253
pool	0.0539218
))
(attractiveness (desc 7646.81) (sims
competitiveness	0.111346
allure	0.0969976
marketability	0.0935841
viability	0.0885185
effectiveness	0.0790224
profitability	0.0783689
reliability	0.0754544
liquidity	0.0745144
worthiness	0.0733474
"standard of living"	0.0720829
potency	0.0720316
luster	0.0716739
cleanliness	0.0708491
attraction	0.0708305
buoyancy	0.0705123
"growth prospect"	0.0697231
resilience	0.069723
vulnerability	0.0695734
affordability	0.0694231
accessibility	0.0688477
"military capability"	0.0682271
"quality of life"	0.0669258
usefulness	0.0668751
popularity	0.065412
prestige	0.0634679
relevance	0.0631779
"bank rate"	0.0626691
stature	0.0622268
disservice	0.0617305
creditworthiness	0.0617024
"shareholder value"	0.0614414
"investment climate"	0.0612596
dynamism	0.061059
desirability	0.061015
"production ceiling"	0.0608483
vitality	0.0606759
"national income"	0.0605163
productivity	0.0603638
Openness	0.0602491
"tax income"	0.0601684
clout	0.0599253
credibility	0.0596999
competence	0.0594171
self-confidence	0.0588902
"tax base"	0.0587854
efficiency	0.0587372
"social status"	0.0583689
adaptability	0.0574502
availability	0.057225
potentiality	0.0569499
capability	0.056694
prosperity	0.0565432
"sense of responsibility"	0.056065
oversupply	0.0558895
efficacy	0.0557966
vibrancy	0.0552156
durability	0.0551756
"birth rate"	0.0546852
likelihood	0.0545971
viewership	0.054268
indebtedness	0.0536095
cost-effectiveness	0.0534036
enjoyment	0.0532418
"gross domestic product"	0.0530893
convenience	0.0530448
inequality	0.0526462
"Official Development Assistance"	0.0525474
readership	0.0524694
"economies of scale"	0.0524067
well-being	0.0521831
sustainability	0.0520907
alertness	0.0520059
uniqueness	0.0514949
visibility	0.0513431
preparedness	0.0513257
aggressiveness	0.0512999
outlook	0.0510455
hipness	0.0510369
"production cost"	0.0510212
"borrowing cost"	0.0509555
"fertility rate"	0.0508025
catnip	0.0506302
dependence	0.0506112
dominance	0.0505526
"investor confidence"	0.0504713
integrity	0.050117
fundamental	0.0499225
outreach	0.0496799
"rate of growth"	0.0495871
"credit rating"	0.0494035
believability	0.048873
coherence	0.0488578
"crime rate"	0.0488219
readiness	0.0487952
urbanization	0.0487888
"financial condition"	0.0484964
breadth	0.0484432
complexity	0.0482731
suitability	0.0482586
"economic value"	0.0481283
"tax benefit"	0.0479137
superiority	0.0478983
"competitive advantage"	0.0476203
self-image	0.0475979
uptrend	0.0474792
flexibility	0.0474638
assertiveness	0.047186
interdependence	0.0471431
nervousness	0.0470128
proficiency	0.0469831
"money supply"	0.0469701
willingness	0.0467564
stamina	0.0467337
maturation	0.0466497
unpredictability	0.0465487
volatility	0.0463488
prominence	0.0462162
predictability	0.046178
"poverty rate"	0.046112
"commercial activity"	0.0461086
vigor	0.0461065
"personal appeal"	0.0460202
fertility	0.0459362
fairness	0.0457629
diversity	0.0456545
boldness	0.0454973
newness	0.0452914
"selling price"	0.0452449
virility	0.0450675
catering	0.045052
dearth	0.0448897
paucity	0.0447398
macro-economy	0.0447151
"economic condition"	0.0446591
"marketing cost"	0.0445177
resurgence	0.0444051
Creativity	0.0443428
"life expectancy"	0.044273
inventiveness	0.0442355
MYSTIQUE	0.0441894
legitimacy	0.0440649
closeness	0.0439421
usability	0.0438114
"legal system"	0.0437822
"housing sale"	0.0437698
"labor market"	0.0437634
soundness	0.0437353
complementarity	0.0436033
utilization	0.0435122
laxity	0.0435053
professionalism	0.0434755
skittishness	0.0434287
scope	0.0433066
sophistication	0.0433032
predominance	0.0432333
"business condition"	0.0432076
sluggishness	0.0431772
prudence	0.0431121
"debt load"	0.0431108
enrolment	0.0430686
"elephant population"	0.0430455
compatibility	0.0429267
urgency	0.042825
downslide	0.042694
probity	0.042689
libido	0.0426722
prowess	0.0426538
"general knowledge"	0.0426508
"about @@@ percent"	0.0426494
"cost structure"	0.0426116
appetite	0.0426004
receptivity	0.0424382
greatness	0.042365
responsiveness	0.0423544
bullishness	0.0423125
"unemployment rate"	0.0422112
ridership	0.0421181
severity	0.0421062
freshness	0.0420228
mobility	0.0419534
workload	0.0418751
excellence	0.0418398
unpopularity	0.0417717
stabilization	0.0417692
feasibility	0.0417001
functionality	0.0416721
ebullience	0.0416603
weighting	0.0416013
inadequacy	0.0415525
emergence	0.0414818
orderliness	0.0414665
intimacy	0.0414114
"tax incentive"	0.0414081
"labor cost"	0.0413719
accountability	0.0413348
disincentive	0.0413006
"operating cost"	0.0412864
diversification	0.0412769
endurance	0.0412101
scarcity	0.0411878
))
(attribute (desc 15586.6) (sims
trait	0.127759
characteristic	0.106413
quality	0.0801652
intangible	0.0786108
skill	0.0738258
aspect	0.0731392
talent	0.0721509
virtue	0.0707165
strength	0.0696758
variable	0.0694729
agility	0.0684142
accomplishment	0.0683204
element	0.0677733
ability	0.0673241
"risk factor"	0.064841
flaw	0.0638366
"strong point"	0.0629858
drawback	0.062889
factor	0.0624601
shortcoming	0.0624011
quirk	0.0609297
personality	0.060557
hallmark	0.0601271
toughness	0.0595271
ingredient	0.0594595
stamina	0.0594526
advantage	0.0587083
charm	0.0584287
adjective	0.0581338
quickness	0.0578241
dimension	0.0566999
criteria	0.0562284
function	0.0560193
amenity	0.0558959
vision	0.0556729
knowledge	0.055615
richness	0.0555671
instinct	0.0555468
distinction	0.0555337
fundamental	0.055077
expertise	0.0549194
achievement	0.0544748
intellect	0.0544458
charisma	0.054363
oddity	0.0539743
gripe	0.0537915
pluses	0.0537886
"competitive advantage"	0.0534653
facet	0.0534163
versatility	0.0532946
parameter	0.0532728
capability	0.0532422
emotion	0.0530078
criterion	0.0529956
indicator	0.0526814
foible	0.0526203
spirit	0.0525908
qualification	0.0525848
cachet	0.0523474
commandment	0.0520223
Creativity	0.0520086
tenacity	0.0519381
fortitude	0.051875
idiosyncrasy	0.0517397
wisdom	0.0517175
passion	0.0516597
meaning	0.0515479
Limitation	0.0514454
"plot line"	0.0513573
honesty	0.0512983
demographics	0.051105
athleticism	0.0510481
vulnerability	0.0509463
firsts	0.0507065
vitality	0.0506397
concept	0.0505877
heft	0.0503948
specialities	0.0502843
asset	0.0499264
frailty	0.0499081
flavor	0.0498415
innovation	0.0498185
hotspots	0.0496303
dexterity	0.0494658
motivation	0.0492964
things	0.0490582
explosiveness	0.0490039
beauty	0.0489882
grace	0.048975
insight	0.0489391
playmakers	0.0489281
perk	0.0489071
yardstick	0.0488674
ideal	0.0487835
prowess	0.0485944
theme	0.048576
ambition	0.0484367
"building block"	0.0483246
similarity	0.0482784
"business line"	0.048259
resiliency	0.0481782
imperfection	0.0481322
deftness	0.0481124
breadth	0.0480859
phenomena	0.0480577
"side effect"	0.0480064
"line of business"	0.047969
circumstance	0.0479039
configuration	0.0478648
"loose end"	0.0478535
motive	0.0477584
fragility	0.0477349
content	0.0476891
attraction	0.0475345
symptom	0.0474911
component	0.0474471
pedigree	0.0473416
"role player"	0.0472755
moral	0.0472598
significance	0.0471659
"agenda item"	0.0471502
"good looks"	0.0470344
inclination	0.0470244
storyline	0.0469578
acumen	0.0467786
disadvantage	0.0467458
"basic principle"	0.0466721
nutrient	0.0466533
dignity	0.0465845
"piece of music"	0.046537
stature	0.0465114
flair	0.0464495
diversity	0.0464275
objective	0.0463625
prerequisite	0.046345
task	0.0463046
importance	0.0462132
technique	0.0461605
complexity	0.0460836
trapping	0.045982
profile	0.0458994
peculiarity	0.0458625
artistry	0.0458317
tradition	0.0457932
grit	0.045754
impression	0.0457274
determinant	0.0457133
assumption	0.0456731
essence	0.0456159
weakness	0.0455662
enticement	0.0455263
aura	0.0454171
accouterment	0.0453723
"safety feature"	0.045339
heritage	0.0453251
courage	0.0452471
sensibility	0.0452357
reasoning	0.0451451
lesson	0.0451339
Gene	0.0450733
composition	0.0450655
perspective	0.0450558
"ball club"	0.0449429
integrity	0.0448142
enhancement	0.0447808
caveat	0.0447213
pitfall	0.044695
depth	0.044613
quarterfinalists	0.0445911
specialty	0.0445475
description	0.0445311
websites	0.0444891
ethic	0.0444796
subtlety	0.0444146
credential	0.0443921
provenance	0.0443307
specie	0.0442678
"heavy hitter"	0.0442664
matchups	0.0442413
allure	0.0442175
impulse	0.0441654
superiority	0.0441266
knack	0.0440538
sensitivity	0.0440345
"health problem"	0.0439903
habit	0.0439604
obstacle	0.0438654
identity	0.0437977
"stumbling block"	0.0437679
closers	0.0437486
"body type"	0.0436334
viewpoint	0.0435857
"reference point"	0.0435455
legacy	0.0434745
density	0.0434409
sweetness	0.0434368
clarity	0.0434083
resonance	0.0433174
craftsmanship	0.0432565
background	0.0432285
))
(attribution (desc 5116.85) (sims
wording	0.0550734
elaboration	0.0450314
"olive branch"	0.0409348
))
(attrition (desc 10076.2) (sims
downsizing	0.0853193
"plant closing"	0.085028
layoff	0.0833623
retirement	0.0795208
retraining	0.073209
closings	0.0687573
cutback	0.0685626
"pay cut"	0.0683931
one-upmanship	0.0626169
"job cut"	0.0622483
"cost cutting"	0.0592094
shakeout	0.0583927
retention	0.0583483
restructurings	0.0548277
consolidation	0.0526167
redundancy	0.0522686
realignments	0.0510624
"budget cut"	0.0501381
"financial loss"	0.0500101
shrinkage	0.0490238
"asset sale"	0.0483584
"turnover rate"	0.0482267
thaw	0.0479028
"earnings disappointment"	0.0472013
unemployment	0.0451502
absenteeism	0.045136
Burnout	0.0450566
retrenchment	0.0450304
hernia	0.0449971
friction	0.0444432
variability	0.0435417
wastage	0.0434207
reshuffling	0.0432808
defection	0.04297
"wear and tear"	0.042145
"sexual intercourse"	0.0418797
realignment	0.04178
"price cutting"	0.0417436
"market correction"	0.0417085
erosion	0.0407916
closure	0.0405059
enrollment	0.0401589
"voter turnout"	0.0401277
))
(Atwater (desc 1880.83) (sims
Heinrichs	0.101966
Marinovich	0.100436
Guthridge	0.0959294
Laudrup	0.0956275
Popovich	0.0938823
Jauron	0.0935174
Billick	0.0929413
Troussier	0.0927208
Godfrey	0.0924878
Sheehan	0.0919419
Tuberville	0.0897826
Calipari	0.0864977
Pruett	0.085011
Newsome	0.0835793
Ribbeck	0.0828248
Manley	0.0817384
Conroy	0.0812603
Harbaugh	0.0812096
Jeffers	0.0807827
Rahal	0.0807305
Romar	0.0801998
Fleischer	0.0799047
Dungy	0.079329
Shurmur	0.0792717
"Breda Kolff"	0.0789043
Underwood	0.0788576
Ponciano	0.078157
Passarella	0.0780974
Zambrano	0.0768606
Reichel	0.0767602
Fuentes	0.0757906
Mendez	0.0752319
Wenger	0.0751803
Rothenberg	0.074952
Wheatley	0.0748587
Matthaeus	0.0746392
Rossotti	0.0745969
McDaniel	0.0743973
Dunleavy	0.0742248
ISSEL	0.0739278
fuller	0.0736483
Hauser	0.0733692
Pugh	0.0732955
Gullit	0.0726536
Bowden	0.0726136
Auerbach	0.0725819
Swann	0.0723607
Siegel	0.0722183
Monson	0.0721672
Paxon	0.0719076
Olowokandi	0.0717723
Soyinka	0.0716685
Slade	0.0716676
Abdur-Rahim	0.0716553
Karolyi	0.0714656
Wannstedt	0.0712695
Wald	0.0712222
Cepeda	0.0711761
Skiles	0.0711151
Piot	0.0711124
Marineau	0.0703605
Flockhart	0.0703451
Odom	0.0703333
Rosenblatt	0.070326
Hiddink	0.0701478
Meston	0.0699733
Duchesne	0.0699065
"Earnhardt Jr."	0.069821
Robson	0.0695624
Brenner	0.0691425
Esiason	0.0689069
Tuggle	0.0688588
Westphal	0.0685911
Schmid	0.0685683
DiCicco	0.0684238
Knapp	0.0683694
Wilkens	0.0682989
CORYATT	0.0682682
Tomjanovich	0.0682067
Ruehe	0.0681538
Hartsburg	0.0679858
Contreras	0.0679309
DiPietro	0.0679086
Neff	0.0673604
Zucker	0.0672514
Sapp	0.0671178
Cooley	0.0670309
Reiner	0.0669131
Washburn	0.06688
Bibby	0.0668039
Platt	0.0667874
Ceballos	0.0664731
Collier	0.0662865
McCoy	0.0662693
Milloy	0.0661569
Lieberthal	0.066124
DuBose	0.0661007
Reinhardt	0.0659191
Hindery	0.0656741
Hornacek	0.0656627
Henning	0.0655845
Knowles	0.0654078
Lacroix	0.0653401
Dowd	0.0652524
Ruggiero	0.0649852
Shays	0.0649052
Briscoe	0.0647338
Rove	0.0647306
Fleisher	0.0647123
Wadsworth	0.0646628
Cochran	0.064541
Hendrickson	0.0644754
GUMBEL	0.0644576
Alarcon	0.064383
Burt	0.0643109
Sloan	0.0640534
Moog	0.0640319
Finney	0.0639782
Schoenfeld	0.0636871
Fulmer	0.0636613
Baird	0.0635304
Krone	0.0635095
Hartley	0.0634311
Nilsson	0.0632548
hodgson	0.0631842
Barrie	0.0631745
Padilla	0.0631178
Nedved	0.0630879
Smyers	0.0630265
Brandt	0.0629915
Lowry	0.0627869
Seymour	0.0627737
Galvin	0.0627597
Ikeda	0.0627491
McKinnon	0.0627196
Vogts	0.0626101
Dillon	0.0625888
Ainge	0.0625273
LaPierre	0.0625171
Glover	0.0624408
Bates	0.0623452
Goldin	0.0622015
Zito	0.0621017
Meggett	0.0620944
Chmura	0.0619937
Baerga	0.0619581
Solis	0.0618979
Rongen	0.061887
Blazevic	0.0618316
Grossman	0.0617204
Fassel	0.0616754
Drummond	0.0615981
Rubenstein	0.0615404
Goossen	0.0615217
Baugh	0.0613949
Norstrom	0.0613868
Muckler	0.0613132
Bratton	0.0610388
Geiger	0.0610218
Longley	0.0609276
McDonnell	0.0609126
McCurry	0.0608824
Harkes	0.0608082
Feng	0.0607596
Cornyn	0.0607397
Andreychuk	0.0607167
Dunham	0.0607135
Kaye	0.060418
Blackman	0.060332
Heredia	0.0602242
Beckenbauer	0.0602164
ROMNEY	0.0601592
Engler	0.0601017
Ebbers	0.0600903
Newhouse	0.0600453
Kouchner	0.0600068
Puente	0.0599055
Wohlers	0.0598372
Casserly	0.0598193
Schottenheimer	0.059691
Keegan	0.0596526
Talebi	0.0596389
Metcalf	0.0595546
"Bill Ranford"	0.0595465
DeBerg	0.0593793
Krzyzewski	0.0592812
Zolak	0.0591906
Grasso	0.059172
Jaffe	0.0591585
Advani	0.0590718
Horton	0.0589653
McInnis	0.0589572
Plante	0.0589192
Fernandes	0.0588628
hough	0.0588573
Cirillo	0.0587253
Farris	0.0587214
Tomey	0.0587038
Koskinen	0.0586719
Lemieux	0.0585974
))
(Atwood (desc 2203.81) (sims
Hybl	0.158048
Finkel	0.137959
Weinberg	0.136642
Lehane	0.126991
Laudrup	0.125044
Rosenthal	0.123483
Wolfensohn	0.118997
Piot	0.117876
Prewitt	0.117771
Eizenstat	0.116292
Daley	0.116174
Marineau	0.114001
Rove	0.112058
Puzo	0.111945
Iglesias	0.111347
Lowry	0.111338
Zeng	0.109799
Sobel	0.109526
Weisman	0.109462
Pollack	0.108957
Waxman	0.108195
LaPierre	0.107726
Rubenstein	0.107086
Satcher	0.106302
Ruehe	0.105837
Mustafa	0.104895
Myhrvold	0.104817
Talebi	0.104659
Kumar	0.104248
Hodler	0.103708
Grossman	0.102927
Fleischer	0.102897
Morse	0.10271
Manley	0.102609
Rahal	0.102056
Hanley	0.101472
Azizah	0.100941
Daniels	0.0999139
Verney	0.0998106
Passarella	0.0996133
Greenwald	0.0994985
Molinari	0.0991871
Schmid	0.0990549
Koskinen	0.0981424
Camdessus	0.0979867
Ivester	0.0979054
Ogata	0.0978874
Khannouchi	0.0976896
Irvan	0.0975915
Sharma	0.097426
Gullikson	0.0972167
Briscoe	0.0971589
Skiles	0.0971097
Vogel	0.0970692
Zadornov	0.0964945
Singson	0.0962052
Arbour	0.0958438
D'Alessandro	0.0957551
Jacquet	0.0954845
Vogts	0.0954087
Rais	0.095063
Moog	0.0949846
Zuma	0.0949794
"Earnhardt Jr."	0.0946393
Cao	0.0944246
Rossotti	0.0940963
Rutherford	0.0940164
Hauser	0.0939399
McDonnell	0.0939172
Samuelson	0.0938963
Indyk	0.093824
Harmoko	0.0933619
Okada	0.0930028
McGuire	0.0928048
Boldon	0.092642
Murad	0.0925788
Weil	0.092528
Reiner	0.0925162
Beye	0.092463
Bergeron	0.0923481
Levitt	0.0922855
Kelleher	0.0922442
Sahadi	0.0922099
Tarawneh	0.0921862
Naumann	0.0919321
Appleby	0.0918692
wen	0.0917602
Winkler	0.0915803
Coen	0.091577
Scharping	0.091306
McGinnis	0.0910504
Mikhailov	0.0910376
Levinson	0.0909486
Solis	0.0908126
Ikeda	0.0907704
Heinrichs	0.0900887
Bloch	0.0899956
Meissner	0.0899652
Nickerson	0.0899081
Fernandes	0.0898517
Montalvo	0.0898074
Cowan	0.0896171
Ebersol	0.0893114
Boyle	0.0892962
Bartley	0.0891208
Saramago	0.0889055
McCullough	0.0888681
Ferrer	0.0888139
Seleznyov	0.0887167
Ruggiero	0.0886737
Paxon	0.088154
Soyinka	0.0881406
hodgson	0.0879798
Hess	0.0879172
Tobin	0.087833
Krzyzewski	0.0877577
Ratliff	0.0876903
Layden	0.0875839
Segal	0.0875667
Gilman	0.0872211
Finney	0.0871947
Katsav	0.0871449
Mandelson	0.0870979
Neff	0.0869609
Summitt	0.0868755
Bogle	0.0868394
Devers	0.0867539
Ainge	0.0867378
DiCicco	0.086604
Donahue	0.0861676
"Alexis Herman"	0.0861137
Kessler	0.0860799
Schuessel	0.0859097
Lim	0.085704
Yastrzhembsky	0.0855825
Insulza	0.0855649
Xiang	0.0855629
Qi	0.0853754
Nugent	0.0853393
Rendell	0.085329
Devine	0.0852609
"administration official"	0.0852067
Kahn	0.0850951
Glaser	0.0849605
Wilkerson	0.0849578
Pickering	0.0847296
Walsh	0.0847078
Maslyukov	0.0846884
Shapiro	0.0846255
Klima	0.0846223
Sergeyev	0.0844793
O'Neil	0.0842787
Schott	0.0842551
Gosper	0.0842202
Silverstein	0.0842085
Weiner	0.0839639
Brundtland	0.0838036
Wolfson	0.0836611
Jovanovic	0.0835823
Schmitt	0.0834964
Contreras	0.0834673
Gillespie	0.0834226
Luyendyk	0.0833352
Murayama	0.083246
Wilhelm	0.0832006
Moratinos	0.0831161
Bildt	0.0830999
Beilin	0.0830301
Goldstein	0.0829986
Hahn	0.0829368
Poole	0.0828601
Karimov	0.082794
Franz	0.0827906
Blatter	0.082677
Hickman	0.0826545
Nicholson	0.0826527
Farber	0.0824813
Siegel	0.0824204
Ikimi	0.0823971
Menino	0.0821756
Larson	0.0821638
craven	0.08216
McGowan	0.0821465
Copeland	0.0821383
Osborne	0.0820252
Zanardi	0.0820102
Sato	0.0819244
Shays	0.0816081
Freedman	0.0815851
Kenseth	0.0815387
Hawke	0.0813601
Capriati	0.0812825
singleton	0.0812423
Surin	0.0811692
McCurry	0.0810243
Pfeiffer	0.0809967
Upton	0.080974
BURNHAM	0.0807996
Yavlinsky	0.0807877
Kaye	0.0807507
))
(ATX (desc 1679.64) (sims
Bridgestone/Firestone	0.110495
Firestone	0.106189
Bridgestone	0.102343
Blown	0.100234
Goodyear	0.0900407
"Ford Explorers"	0.0821952
CRT	0.0803066
Pirelli	0.0725905
"caustic soda"	0.0667543
"picture tube"	0.0655793
feddans	0.0624016
Michelin	0.0599283
carburetor	0.0592812
kinescope	0.0581856
Tyre	0.0574883
"rainbow trout"	0.0565597
"color television"	0.0534261
"Dom Perignon"	0.0532712
wheelbase	0.0532648
sq.km	0.0508672
"ordinary shares"	0.0506005
"another @.@ million"	0.0497518
"common shares"	0.0497015
"aircraft engine"	0.0492061
wattle	0.0472505
Jetta	0.0465648
V@@	0.0461849
trimmer	0.0458946
bluefin	0.0458316
"Palm III"	0.0452954
Clinique	0.0452883
"Naomi Campbell"	0.0449212
"cigarette lighter"	0.0430934
Chouinard	0.0429314
"currency unit"	0.0427888
Nicol	0.0426077
motherboards	0.0420372
beany	0.0413936
"Golden Bear"	0.0413513
S@@	0.0411725
chalice	0.0410948
"Buddy Lazier"	0.0410599
"Uganda Shillings"	0.0409301
incision	0.0405843
"Sri Lankans"	0.0405585
Kuhn	0.0404086
Kilborn	0.0403078
Floridian	0.0402791
Daigle	0.0401552
))
(AU (desc 3767.97) (sims
FRA	0.131766
Ita	0.127587
GER	0.122524
Ru	0.118001
du	0.113962
CHN	0.107495
kor	0.0981061
RSA	0.0910571
NED	0.0827029
rom	0.0788705
ESP	0.0787664
Ville	0.0752713
SUI	0.0751811
Pol	0.0708726
Hongyuan	0.0654711
ai	0.0648334
Guerra	0.0604528
Grange	0.0604101
Kirghizstan	0.0575927
"LA Lakers"	0.0563467
Carrera	0.0558011
Karlsson	0.0545728
Netherland	0.053928
outhit	0.0534062
Brasil	0.0517519
Jonsson	0.050803
Vina	0.0497367
Kremer	0.049624
Tintin	0.0489419
"Netherlands Antilles"	0.0486067
Highness	0.0483501
Parc	0.0481594
Taipei	0.047542
Latvia	0.0473585
Guernsey	0.0463583
Serna	0.0459705
"Estados Unidos"	0.0458789
Ruehe	0.0452199
Tarango	0.0449163
Vita	0.0445598
Hun	0.0444801
Shenhua	0.0442948
Slovenia	0.0440056
"Jackson State"	0.043978
Torino	0.0437784
LES	0.0433769
Jager	0.0428206
"DPR Korea"	0.0427347
Qin	0.0424095
Samoa	0.0421328
Aprilia	0.0420339
reais	0.0419533
Watford	0.0417422
et	0.0417331
Sevilla	0.0416659
Wei	0.0415659
Banda	0.04155
Aoki	0.0415134
Estudiantes	0.0413624
monde	0.0411203
"Bradford City"	0.0409142
Boca	0.040779
))
("au pair" (desc 4075.89) (sims
"Louise Woodward"	0.162671
nanny	0.149037
"house painter"	0.110625
LeFave	0.10313
vaulter	0.0973293
"Iranian Jews"	0.0895756
Markhasev	0.0843345
Jelisic	0.0808084
Berenson	0.079639
Woodward	0.0787729
Symington	0.0756211
Lacresha	0.0743374
Shipman	0.0741955
enlistee	0.073093
Gauthe	0.0721788
maid	0.0714219
"foster child"	0.0704499
paralegal	0.0698408
"army engineer"	0.0696105
Nasrin	0.0695659
"Maturino Resendiz"	0.0693057
"Timothy McVeigh"	0.0687293
"temporary worker"	0.0685531
OFWs	0.0674057
Agca	0.0668599
"altar boy"	0.0666942
Blackthorne	0.0657903
adoptees	0.0657385
"Black Panther"	0.0655279
Sheinbein	0.0650847
parolee	0.0648423
Falater	0.064731
Capano	0.0647013
"exotic dancer"	0.0644108
Stayner	0.0639929
Schmitz	0.063745
"eye doctor"	0.0636759
hooligan	0.0633936
guardsmen	0.063095
illiterate	0.0625039
emigre	0.0622943
Abu-Jamal	0.0618496
"registered nurse"	0.0614256
"sea captain"	0.0611842
"foster parent"	0.0610714
Mease	0.060958
"Jonathan Pollard"	0.0609164
Swango	0.0608012
exterminator	0.060702
"Russell Peeler"	0.0604638
Deri	0.0602987
"wage earner"	0.0601955
Robison	0.0601865
Manbar	0.060068
KEVORKIAN	0.0600315
Gotti	0.0599422
rower	0.0597238
Sheppard	0.0594407
Laudor	0.059413
Hsia	0.059188
Kodikian	0.059031
"intelligence agent"	0.0589943
schoolboy	0.0585889
Kehoe	0.0585504
soliders	0.0585101
housekeeper	0.0583257
triathletes	0.0583206
cadet	0.0582119
"black person"	0.057866
"army officer"	0.0577664
emigrant	0.0576105
centenarian	0.0575493
shuttlers	0.0575159
nobleman	0.0574916
Skakel	0.0574676
seminarian	0.0571625
"law student"	0.0570994
Gangelhoff	0.0570953
stripper	0.0567055
Napolitano	0.0566752
"military man"	0.0566241
stepdaughter	0.0563626
Sebaggala	0.0561474
Priebke	0.0559144
shipmate	0.0557922
Beckwith	0.0557683
Salvadoran	0.0557097
"ballet dancer"	0.055551
farmworkers	0.0552517
Ng	0.0551506
"foster mother"	0.0550441
"job candidate"	0.0550095
"married man"	0.0549572
McVeigh	0.0548987
Baumhammers	0.054848
divorcee	0.0548345
"factory worker"	0.0539902
illegals	0.0537909
governess	0.0536064
schoolmate	0.0533958
"Susan McDougal"	0.053252
fencer	0.0531794
Einhorn	0.0530995
student-athletes	0.0529857
businesswoman	0.0529748
"Jim Guy Tucker"	0.0526073
"intelligence analyst"	0.0525225
serviceman	0.052436
McDuff	0.0523594
Karbaschi	0.0522632
Akayesu	0.0520783
"David Graham"	0.0519321
Gritz	0.0516904
temp	0.0514781
"Jack Kevorkian"	0.0514102
Porter	0.0511763
"campaign worker"	0.0511562
"African elephant"	0.0510732
Mehmet	0.0510728
"Angel Maturino Resendiz"	0.0510619
Atlantan	0.0509999
Talebi	0.050947
Lobo	0.0509414
"naval officer"	0.0507649
tribesman	0.0506591
mutineer	0.0506212
landscaper	0.0505705
Paulina	0.0504179
"school teacher"	0.0503595
gymnast	0.0502994
Sang	0.0500764
"Iraqi POWs"	0.0500012
Fagan	0.0499493
underling	0.049946
"Greek Orthodox Church"	0.0498669
colonist	0.0498448
baboon	0.0498065
ex-mayor	0.0497858
Pollard	0.0497758
expatriate	0.0496798
HITMAN	0.0496511
"Iranian POWs"	0.0496196
waitress	0.0494722
"medical student"	0.0494507
"El Hage"	0.0494457
Klansmen	0.049128
"heroin addict"	0.0489881
Nunez	0.04898
Maag	0.0489605
caregiver	0.0489305
"foreign service officer"	0.0488896
conscript	0.0487991
Dorismond	0.048676
repairman	0.0485927
sitter	0.0485743
Livoti	0.0485286
"church member"	0.0484579
"interior decorator"	0.0484441
"Bosnian Croat"	0.0484203
Sergeant	0.0484113
Seaman	0.048409
Russo	0.0483387
skinhead	0.0482869
"volleyball player"	0.0482797
"three pitchers"	0.0481798
"political detainee"	0.0481489
Karr	0.0480104
Tomba	0.047995
Hatfield	0.0478989
"farm worker"	0.0478218
Mitnick	0.0477219
"Mike Espy"	0.0476821
Rideau	0.047652
McGinn	0.0476464
Barnett	0.0475265
Arroyo	0.0475106
triathlete	0.0474462
Schwarz	0.0473613
stuntman	0.0471126
"private detective"	0.0470897
Garza	0.0469846
"drug addict"	0.0469455
Kaunda	0.0469245
schoolteacher	0.0469103
Britannia	0.0468772
"Medicare HMOs"	0.0468145
"Manuel Noriega"	0.0468086
Mackey	0.0467823
dropout	0.0467542
"family doctor"	0.0466943
"tennis player"	0.0466701
"opera star"	0.0466263
"faculty member"	0.0466156
Echegaray	0.0465728
playmate	0.0465661
paratrooper	0.0465438
servicemen	0.0465096
supremacist	0.0465086
trainee	0.0464998
Bhutto	0.0464704
))
(Auburn (desc 21484.9) (sims
"Mississippi State"	0.212878
LSU	0.206822
"Ohio State"	0.204621
"Oklahoma State"	0.203896
Purdue	0.198183
"Florida State"	0.197667
"Notre Dame"	0.196861
"Penn State"	0.195821
Clemson	0.193911
"Kansas State"	0.184287
"Michigan State"	0.179647
Stanford	0.176365
"Arizona State"	0.173672
UCLA	0.171798
Tennessee	0.169279
Kentucky	0.166419
"Louisiana Tech"	0.165683
Vanderbilt	0.164031
Syracuse	0.160312
"Wake Forest"	0.160268
"Iowa State"	0.160165
Duke	0.15778
Rutgers	0.156606
"North Carolina State"	0.155218
"Virginia Tech"	0.154679
Nebraska	0.154304
USC	0.154129
Alabama	0.153887
northwestern	0.152949
"Georgia Tech"	0.151636
"North Carolina"	0.147718
"Texas Tech"	0.146008
"St. John"	0.145401
Oklahoma	0.145389
"Oregon State"	0.144801
Arkansas	0.142033
UConn	0.141622
Wisconsin	0.140646
Miami	0.139432
Oregon	0.138122
Indiana	0.137207
Georgia	0.135175
"West Virginia"	0.133911
Baylor	0.132567
Kansas	0.13253
Maryland	0.130179
"San Jose State"	0.129382
"Fresno State"	0.128003
Arizona	0.127894
"San Diego State"	0.126917
Connecticut	0.126634
"Seton Hall"	0.125695
Jacksonville	0.125607
Pepperdine	0.124756
Minnesota	0.124703
Michigan	0.123543
"Colorado State"	0.123078
Louisville	0.122886
Gonzaga	0.122458
"Boston College"	0.122036
Florida	0.121208
"Washington State"	0.120947
Tulsa	0.119516
Utah	0.118027
Missouri	0.117949
"Louisiana State"	0.117606
Virginia	0.117529
Villanova	0.116056
UNLV	0.116004
Cincinnati	0.115964
Pittsburgh	0.114781
"Brigham Young"	0.114301
SMU	0.112846
Cal	0.112538
Tulane	0.112377
TCU	0.111986
"Georgia Southern"	0.109829
Gators	0.109809
Colorado	0.109691
Mississippi	0.109465
"South Carolina"	0.109321
Georgetown	0.107306
Denver	0.10658
"Green Bay"	0.106458
"Tampa Bay"	0.105975
"East Carolina"	0.104877
Seminoles	0.104215
Texas	0.103798
CSUN	0.103636
Illinois	0.103036
Buffalo	0.101557
"New Mexico State"	0.101526
"San Diego"	0.101275
BYU	0.101083
Iowa	0.100702
Houston	0.100351
"New Mexico"	0.100142
Portland	0.0997924
Carolina	0.0989233
"Southern Mississippi"	0.0981322
Dallas	0.0977713
Cleveland	0.0967568
tech	0.0963661
"N.C. State"	0.0954384
DePaul	0.0952013
Milwaukee	0.0936893
Detroit	0.0936842
"Southwest Missouri State"	0.0929091
ASU	0.092662
wildcat	0.0925914
Sacramento	0.0923475
Oakland	0.0920587
Philadelphia	0.0913545
Seattle	0.0912356
"Nevada-Las Vegas"	0.0911553
"St. Louis"	0.0908959
"New Orleans"	0.0904829
"New York Jets"	0.0899157
Vancouver	0.0895488
Providence	0.089388
Princeton	0.0893036
"Texas Christian"	0.0890041
Baltimore	0.0889787
Aggies	0.0888988
"Kansas City"	0.0886827
Wyoming	0.0883146
Xavier	0.0879182
Toronto	0.0876792
"Old Dominion"	0.087607
"San Antonio"	0.0870048
"Weber State"	0.0867505
"blue devil"	0.0862474
"New Jersey"	0.0858887
"Rhode Island"	0.0854962
Montreal	0.0852731
Chicago	0.0848425
Indianapolis	0.0843505
Charlotte	0.084231
"D.C. United"	0.0839651
Edmonton	0.083698
Hawaii	0.083157
Atlanta	0.0831067
"Minnesota Vikings"	0.0824501
"Cal State Northridge"	0.0822213
BEARS	0.0819763
"Green Bay Packers"	0.0818572
Memphis	0.0817569
No.	0.0816643
"Southern California"	0.0815883
"Arizona Cardinals"	0.0814009
"Northern Arizona"	0.0808637
Giants	0.0804942
husky	0.0803375
"Washington Redskins"	0.0803279
Orlando	0.0802409
"Tar Heels"	0.0802401
ANAHEIM	0.0800754
Seahawks	0.079601
Calgary	0.0795413
northeastern	0.0794816
Phoenix	0.0794103
"New York Giants"	0.079399
"Southern Cal"	0.079243
"Long Beach State"	0.0792196
FSU	0.0790876
"UC Santa Barbara"	0.0789589
Greenville	0.0787238
Boilermakers	0.0785652
Marquette	0.078452
UMass	0.0783356
"Golden State"	0.0781904
"San Jose"	0.0780511
Lakers	0.0776068
Montana	0.0775092
"Ball State"	0.0773723
"San Francisco"	0.0769143
"Boise State"	0.0768703
"Appalachian State"	0.0765663
"Los Angeles Lakers"	0.0764873
"New York-New Jersey MetroStars"	0.0764408
m	0.0759997
"Miami Heat"	0.0758463
"Phenix City"	0.0755618
"Idaho State"	0.0755268
"Florida Panthers"	0.0754202
"Lindsay Davenport"	0.0754049
"San Antonio Spurs"	0.0753504
buckeye	0.0753341
Fordham	0.0750104
"University of Connecticut"	0.0750021
bruin	0.0746979
"New England"	0.0745651
Viking	0.0744313
"Miami Dolphins"	0.074319
Redskin	0.0742095
"St. Louis Rams"	0.0740357
Kafelnikov	0.0737595
Trojan	0.0737134
Carolinas	0.0736158
Boston	0.0730845
))
("Auburn Hills" (desc 1933.26) (sims
Dearborn	0.171612
"East Lansing"	0.13408
Kalamazoo	0.130401
"Grand Rapids"	0.114128
Lansing	0.107333
"Ann Arbor"	0.105991
Farmington	0.100591
Saginaw	0.0993575
"Midwest Regional"	0.0991841
Marquette	0.0969033
"Mount Pleasant"	0.083409
Reston	0.0804829
Bloomfield	0.0771991
Norcross	0.0771792
flint	0.0769928
"Garden City"	0.0763491
Goteborg	0.076094
Wolfsburg	0.0753635
"King Letsie III"	0.0750674
"Legion of Honor"	0.0740826
"Highland Park"	0.0737844
Herndon	0.0736671
midland	0.0736135
"South San Francisco"	0.0725243
Carlsbad	0.072344
Waterford	0.0712597
Basle	0.0696234
Langley	0.0689829
"Alamo Bowl"	0.0681207
Exeter	0.0669432
Sunnyvale	0.0659004
"East Orange"	0.0636992
Fenton	0.0635474
"Shah Alam"	0.0629651
Danbury	0.0610121
"Research Triangle Park"	0.0607371
"Van Nuys"	0.0606894
Torrance	0.0600992
Hialeah	0.0595236
Versailles	0.058961
"Culver City"	0.0585
Karlsruhe	0.0582387
"Siem Reap"	0.0578013
Cupertino	0.0576384
"RCA Dome"	0.057574
"Round Rock"	0.0575426
Foxboro	0.0569509
Braintree	0.0564197
"Midtown Manhattan"	0.0563304
Waltham	0.0560618
Calabasas	0.0559681
Renton	0.0555876
Morristown	0.0553345
Chesterfield	0.0549118
Nagoya	0.0538251
Whitehall	0.0533539
Guadalajara	0.0531906
"Louis XIV"	0.0531319
Tuscaloosa	0.0531009
Bremen	0.052877
Essen	0.0526369
Heidelberg	0.0521747
"Fort Lee"	0.0521701
Emeryville	0.0517955
Bradenton	0.0514807
Framingham	0.0513355
"Mountain View"	0.050543
Lucerne	0.0500426
Secaucus	0.0497335
"San Mateo"	0.0496527
Lugano	0.0495298
Spartanburg	0.0492514
Lawrenceville	0.0491377
Freiburg	0.0484389
Dulles	0.0480901
Smyrna	0.0480394
Utica	0.0479616
Mannheim	0.0476934
"Silver Spring"	0.0476498
Burlingame	0.0475875
"Long Island City"	0.0472267
Leawood	0.047123
Racine	0.0470524
Gulu	0.046988
Westminster	0.0469537
"Western Conference Finals"	0.0469316
"Palo Alto"	0.0464365
LaGrange	0.046395
Bridgewater	0.0462961
Fremont	0.0457697
Naperville	0.04566
"Santa Fe"	0.0455741
BRIGHTON	0.0455678
Plano	0.045486
"White Plains"	0.0453043
"Woodland Hills"	0.0452012
Bismarck	0.0450532
Crewe	0.0448953
"Menlo Park"	0.0445056
Burlington	0.0441185
"El Segundo"	0.0441149
Knoxville	0.0440821
nightcap	0.0439656
"Redwood City"	0.0438403
Asuncion	0.0436859
canton	0.0433343
"Port Elizabeth"	0.0432737
Watertown	0.0432234
Hempstead	0.0430572
Suwanee	0.0429111
"South Regional"	0.0427442
"Kickoff Classic"	0.0426872
"Simi Valley"	0.042604
Dresden	0.0425714
"bank building"	0.042352
"Westlake Village"	0.042077
"Cotton Bowl"	0.0420632
Carmel	0.0420255
Monterrey	0.0419517
Needham	0.0418816
"Thousand Oaks"	0.0418721
Rockville	0.0416738
"San Carlos"	0.0415733
Toulouse	0.0415603
Hillsboro	0.0414983
Wilmington	0.0413661
Alpharetta	0.0412228
"Pauley Pavilion"	0.0411957
Mesopotamia	0.0411608
Woburn	0.040898
Duesseldorf	0.0408616
"Happy Valley"	0.0404712
Sausalito	0.0404509
Dusseldorf	0.0402945
))
("Auburn University" (desc 1201.79) (sims
"Florida International University"	0.279887
"University of Toronto"	0.243646
"University of Rochester"	0.229316
"University of New Mexico"	0.224676
"College of Charleston"	0.223658
"American University"	0.21909
"Smith College"	0.216924
"George Washington University"	0.205526
"Vanderbilt University"	0.200602
"Rutgers University"	0.192506
"Michigan State University"	0.190814
"Purdue University"	0.187615
"University of Kentucky"	0.18633
"George Mason University"	0.185788
"University of New Hampshire"	0.185619
"University of Arkansas"	0.183157
"Texas Christian University"	0.180878
"Kansas State University"	0.179063
"Georgia State University"	0.176454
"Emory University"	0.176189
"Temple University"	0.170629
"University of Zimbabwe"	0.166259
"Northwestern University"	0.16593
"University of Georgia"	0.16579
"Rice University"	0.164741
"San Francisco State University"	0.164082
"Washington State University"	0.164063
"Brandeis University"	0.163881
"Florida State University"	0.163532
"University of Iowa"	0.161869
"Ohio State University"	0.159169
"Princeton University"	0.158239
"University of Tennessee"	0.158052
"Iowa State University"	0.157664
"University of Maryland"	0.156429
"Arizona State University"	0.155654
"University of Cincinnati"	0.154666
"Furman University"	0.152305
"Northeastern University"	0.149497
"University of Pittsburgh"	0.148099
"Hebrew University"	0.147203
"Duke University"	0.146997
"Yale Law School"	0.146875
"Brigham Young University"	0.146754
"North Carolina State University"	0.146455
"University of Miami"	0.143918
"Hofstra University"	0.143281
"Barnard College"	0.143267
"Howard University"	0.143089
"Kennedy School"	0.142818
"University of South Carolina"	0.141979
"University of North Carolina"	0.141762
"University of Mississippi"	0.140495
"Hunter College"	0.139441
"University of Minnesota"	0.138227
"University of Dayton"	0.137994
"Harvard Business School"	0.137145
"University of Florida"	0.136757
"Fordham University"	0.135734
"Catholic University"	0.135727
"University of Houston"	0.135652
Brandeis	0.134821
"University of Illinois"	0.132808
"Massachusetts Institute of Technology"	0.132708
"Cornell University"	0.130762
"London School of Economics"	0.129534
"Brown University"	0.129288
"University of Kansas"	0.129202
"University of Wisconsin"	0.128921
"Tufts University"	0.128857
"University of Rhode Island"	0.128741
"Peking University"	0.128426
"California State University"	0.127907
"Johns Hopkins University"	0.127142
"University of Massachusetts"	0.126749
"University of Southern California"	0.126741
"University of Virginia"	0.126267
"Boston University"	0.125058
"University of Chicago"	0.125014
"University of Michigan"	0.124141
"Columbia University"	0.124046
"University of Hawaii"	0.123936
"Indiana University"	0.122069
"Louisiana State University"	0.121914
"Stanford University"	0.121393
"University of Arizona"	0.121206
"McGill University"	0.11957
"University of Nevada"	0.118541
"Wake Forest University"	0.118231
"Cooper Union"	0.117397
"New York University"	0.117393
"State University of New York"	0.116799
"Wright State University"	0.11649
"University of Texas"	0.116385
"City University of New York"	0.116353
"Colorado State University"	0.114822
"Carnegie Mellon University"	0.114573
"Dartmouth College"	0.114543
"University of Colorado"	0.114333
"University of Oklahoma"	0.113522
"University of Nebraska"	0.112855
"University of Alabama"	0.110686
"Southern Poverty Law Center"	0.110617
"Georgetown University"	0.109879
"Queens College"	0.109206
"Kennedy School of Government"	0.10862
WSU	0.10813
"Pennsylvania State University"	0.107966
"Syracuse University"	0.107903
"Baylor University"	0.107089
"University of California"	0.10618
"Southern Methodist University"	0.105491
"Harvard University"	0.103091
"Texas Tech University"	0.10297
"Harvard Medical School"	0.102924
"University of Hong Kong"	0.102686
"University of Wyoming"	0.102424
"Yale university"	0.102346
"University of Missouri"	0.0990362
"Williams College"	0.0982076
"Harvard Law School"	0.0971896
"University of Oregon"	0.096162
Emory	0.0947015
"Washington University"	0.0943509
"Graduate School of Business"	0.093011
"Chinese University of Hong Kong"	0.0929208
"Talladega Superspeedway"	0.092509
"Oxford University"	0.0915697
"city university"	0.0915167
"University of Utah"	0.0913813
"University of Washington"	0.0908253
"University of Notre Dame"	0.0890291
"University of Connecticut"	0.0881667
"Baylor College of Medicine"	0.0878818
"Media Lab"	0.0868454
UMKC	0.0862
MIT	0.085232
"Nanjing University"	0.0850371
"Georgia State"	0.0833597
"Trinity College"	0.0807981
"City College"	0.0801048
Cornell	0.0799487
Juilliard	0.0799328
"Wharton School"	0.0798354
"UC Berkeley"	0.0789426
"Mount Sinai Medical Center"	0.0788408
Dartmouth	0.0782723
CalTech	0.0776215
"Harvard School of Public Health"	0.0774752
coursework	0.0773923
"National Autonomous University of Mexico"	0.0770205
"St. Luke"	0.0752442
"school of law"	0.0748351
"Seton Hall University"	0.0746821
"Juilliard School"	0.0746581
"American Enterprise Institute"	0.0738344
"Johns Hopkins"	0.0729787
"University of Pennsylvania"	0.0728944
"first school"	0.0722841
NYU	0.0717406
"teachers college"	0.0715254
"John F. Kennedy School of Government"	0.0712649
"University of Maine"	0.0704921
IU	0.0703704
DRI	0.0703194
"John F. Kennedy Library"	0.0699273
"business school"	0.0698621
"Brookings Institution"	0.06908
"Tehran University"	0.0689035
Vassar	0.0688835
UGA	0.067988
Siena	0.0669101
Tanglewood	0.066888
KU	0.0665378
"Council on Foreign Relations"	0.0662614
Hirst	0.0662123
"school of medicine"	0.0660905
"Zhongshan University"	0.0658519
"Cambridge University"	0.065511
"RAND Corp."	0.0646535
"Beijing University"	0.0631793
"Memorial Sloan-Kettering Cancer Center"	0.0630503
Fordham	0.061954
tuft	0.0618435
"Natural Resources Defense Council"	0.0616334
"junior college"	0.0609303
UW	0.0608277
"Cal State Northridge"	0.0606582
"National Autonomous University"	0.0594331
NAU	0.0588917
"Center for Strategic"	0.0586038
"Federal Reserve Bank"	0.0584491
"mechanical engineering"	0.0577847
"Jackson State"	0.0576604
Sorbonne	0.0573478
"Kent State"	0.0573432
"Qinghua University"	0.056972
"School of Public Health"	0.0563488
"U.S. Naval Academy"	0.0557213
Bu	0.0554006
))
(Auckland (desc 17606.3) (sims
Christchurch	0.17568
MELBOURNE	0.171885
Durban	0.17046
Perth	0.169393
Brisbane	0.151293
"Cape Town"	0.143657
Sydney	0.139315
"Kuala Lumpur"	0.138537
Bangkok	0.133318
Istanbul	0.131477
Hobart	0.130574
Manila	0.129808
LISBON	0.127357
Adelaide	0.125082
SEOUL	0.124021
Osaka	0.123831
JOHANNESBURG	0.122902
Tokyo	0.122775
CARACAS	0.121662
Santiago	0.121367
Prague	0.120798
Madrid	0.12
COLOMBO	0.119528
Vancouver	0.119357
BUDAPEST	0.118934
Hamburg	0.118804
Munich	0.118711
HARARE	0.11791
Vienna	0.117789
Algiers	0.116993
Dushanbe	0.116207
Riyadh	0.115964
Havana	0.115279
Lausanne	0.115194
CAIRO	0.11403
Amman	0.113916
Lusaka	0.113068
LONDON	0.112573
Jakarta	0.112435
BUCHAREST	0.112237
Helsinki	0.111809
Dublin	0.111425
Amsterdam	0.111298
"La Paz"	0.111129
Cartagena	0.10974
BRUSSELS	0.109728
HANOI	0.109589
Dili	0.109576
Geneva	0.109303
ZAGREB	0.109167
Copenhagen	0.10889
Vladivostok	0.108838
Doha	0.10757
"New Delhi"	0.107262
ATHENS	0.107066
Wellington	0.106845
"Mexico City"	0.10677
Oslo	0.106745
Luanda	0.106686
"Buenos Aires"	0.106471
Jeddah	0.106124
"Addis Ababa"	0.106122
Tripoli	0.106023
Berlin	0.103132
"Los Angeles"	0.102882
DUBAI	0.102842
Cardiff	0.102678
DHAKA	0.102658
Zurich	0.102521
Fukuoka	0.102259
BOGOTA	0.102225
WARSAW	0.10221
Alexandria	0.101812
"Ho Chi Minh City"	0.101525
KIEV	0.101053
Lahore	0.101017
"CHIANG MAI"	0.101005
Belfast	0.10052
"St. Petersburg"	0.100349
MAPUTO	0.100323
Karachi	0.0997102
Windhoek	0.0995072
Lyon	0.0993123
Islamabad	0.0992247
Honolulu	0.0990743
STOCKHOLM	0.0990674
Charleston	0.0990623
TUNIS	0.0986855
Kigali	0.0986796
Moscow	0.0984937
BEIJING	0.0984901
Paris	0.0983272
Halifax	0.0982475
Taipei	0.0982075
KAMPALA	0.0977716
Asuncion	0.0975639
Strasbourg	0.09742
Aqaba	0.0967884
Lucerne	0.0966272
Birmingham	0.096487
"San Jose"	0.0962821
Mombasa	0.0960569
Davos	0.0959617
Pretoria	0.0957978
Nairobi	0.0957586
Basle	0.0953238
"Tel Aviv"	0.0952494
MANAMA	0.0951999
Nagoya	0.0951364
Cebu	0.0951055
Seattle	0.0950695
Milan	0.0949541
Fremantle	0.0948958
"Las Vegas"	0.0947179
Montreal	0.0945261
Arusha	0.0944398
Lima	0.0942939
Manchester	0.0941938
Phoenix	0.0941184
PALERMO	0.0939016
Calgary	0.0937656
Rome	0.0937312
Peshawar	0.0936815
Cairns	0.0936542
"San Francisco"	0.0935745
"Guatemala City"	0.0933226
Beirut	0.0932645
Asmara	0.0931656
Accra	0.0931059
"New Orleans"	0.0930818
"Phnom Penh"	0.0930476
SOFIA	0.0929922
Bombay	0.0927413
BRATISLAVA	0.0924843
Shanghai	0.0924064
TIRANA	0.0922513
Gaza	0.0920602
Abuja	0.0920083
Sarajevo	0.0918658
Kathmandu	0.0915488
Gaborone	0.0914926
"San Salvador"	0.0914257
Rabat	0.0912179
Glasgow	0.0911633
"Sao Paulo"	0.0910283
YANGON	0.0907843
Abidjan	0.0906313
Minneapolis	0.0903489
Barcelona	0.0901202
Edinburgh	0.0898195
Tucson	0.0895722
Vientiane	0.089569
"New Zealand"	0.0895177
"San Juan"	0.0894758
Khartoum	0.0891486
"Rio de Janeiro"	0.0885672
Toronto	0.0884984
"San Antonio"	0.0884492
Nagano	0.0884385
Naples	0.0881305
"San Diego"	0.088107
Quito	0.087951
Ottawa	0.0878826
Nashville	0.0877236
Pristina	0.0874463
Hanover	0.0874225
TEGUCIGALPA	0.0873203
Memphis	0.0873034
Atlanta	0.0872764
Baku	0.0872673
Boston	0.0872269
"Little Rock"	0.0867136
Managua	0.0865538
Duesseldorf	0.0864752
"Dar es Salaam"	0.0862194
Tehran	0.0859819
Dunedin	0.0859307
Philadelphia	0.0858983
Orlando	0.0858364
Indianapolis	0.0856134
Tampa	0.0851069
Bishkek	0.0851
Tashkent	0.085091
Rotterdam	0.0849722
Salzburg	0.0849512
"Fort Lauderdale"	0.0846324
Kandahar	0.084463
"Santo Domingo"	0.0843838
Florence	0.0843504
Monrovia	0.0843219
Singapore	0.0841615
Frankfurt	0.0841054
Muscat	0.0840951
SANAA	0.083991
Antwerp	0.0839202
ANKARA	0.0838949
anchorage	0.0837177
Canberra	0.0836339
Subic	0.0835619
Skopje	0.0830919
))
("Auckland Airport" (desc 3306.22) (sims
"Fletcher Paper"	0.665312
"Fletcher Building"	0.638006
"Fletcher Forests"	0.629986
"Carter Holt Harvey"	0.59264
"Brierley Investments"	0.589634
"Fletcher Energy"	0.572892
"Contact Energy"	0.572392
"Fletcher Forest"	0.56261
"Lion Nathan"	0.479463
"Brierley Investment"	0.462655
"Air New Zealand"	0.387384
"Sky TV"	0.316597
Fletcher	0.256525
AMP	0.246165
Telstra	0.19041
Telecom	0.1767
"Wireless Optus"	0.135218
"Commonwealth Bank of Australia"	0.12259
Westpac	0.122404
"Second Board Index"	0.114184
Nathan	0.11231
WMC	0.110545
Sanford	0.110287
ANZ	0.107331
"Industrial Index"	0.10359
"Straits Times Index"	0.0999243
"Straits Times Industrials Index"	0.0995065
"City Development"	0.0991398
"Emas Index"	0.0989764
"Rio Tinto"	0.0982971
"preferred shares"	0.0926822
"CAC @@"	0.0905565
"Nikkei Stock Average"	0.089737
"Commonwealth Bank"	0.0892034
"National Australia Bank"	0.0882866
"Philippine Stock Exchange Index"	0.083636
"Tokyo Stock Price Index"	0.0819355
"GE Life"	0.0815998
STI	0.0788748
CRA	0.0772411
BHP	0.0750518
"Composite Index"	0.0744708
"Weighted Price Index"	0.0722871
"Xetra Dax"	0.0720116
SPH	0.0688087
"Hong Kong Telecom"	0.0677941
Colonial	0.0676871
"Creative @@"	0.0672688
"F&AMP;N"	0.0668948
"News Corp"	0.0633418
"Hutchison Whampoa"	0.0632638
"Hang Seng China-Affiliated Corporations Index"	0.0628711
UOB	0.0614808
DAX	0.0611359
Nikkei	0.060786
"SPH @@@"	0.060682
"Hang Seng"	0.0603446
warrant@@	0.0588553
"ordinary shares"	0.058403
Woodside	0.0560503
HSI	0.0554217
"FTSE @@@"	0.0553503
CAC	0.0548386
CAC-@@	0.054795
sub-index	0.0537588
db	0.0517757
"Dow Jones Industrial Average"	0.0512544
"Hang Seng Index"	0.0500392
"one cent"	0.0494406
Qantas	0.0489696
Bovespa	0.0487708
FT-SE	0.0484483
w@@	0.0477419
Sensex	0.0474816
"HSBC Holdings"	0.047154
"Hang Seng Bank"	0.0463565
"Applied Materials"	0.0458734
"Sensitive Index"	0.0455949
"Producer Price Index"	0.0448505
"NASDAQ Composite Index"	0.0434373
OCBC	0.0432234
"Singapore Press Holdings"	0.0431259
"Hang Seng China Enterprises Index"	0.0431115
SIA	0.0422845
PacCent	0.0420391
"Kenyan shilling"	0.0419569
scrip	0.0417574
"JDS Uniphase"	0.0404632
fineness	0.0404191
Grosjean	0.0401833
))
(auction (desc 80914.6) (sims
sale	0.146806
Exhibition	0.115829
fair	0.114222
bidding	0.101124
concert	0.0998039
"auction house"	0.0985357
show	0.0956466
festival	0.0948178
trading	0.0933895
"initial public offering"	0.0928406
transaction	0.0912291
gala	0.0900694
purchase	0.0897388
event	0.0893954
offering	0.087639
Christie's	0.0875008
Sotheby's	0.0869777
gathering	0.086529
meeting	0.0861767
seminar	0.0849318
auctioneer	0.0846507
symposium	0.0842399
exhibit	0.0840417
contest	0.0838853
market	0.0828719
launch	0.0827056
election	0.0825877
session	0.0825831
conference	0.0818841
IPO	0.0817371
Exposition	0.0815873
Rally	0.0804396
issuance	0.0804282
summit	0.0804113
referendum	0.0803892
store	0.080196
price	0.0795982
"general election"	0.0795911
parade	0.077668
ceremony	0.0774813
site	0.0772395
collection	0.0770072
forum	0.0769556
Privatization	0.0764918
tour	0.0763614
"flea market"	0.076244
dinner	0.0761794
acquisition	0.0756656
shopping	0.0754771
celebration	0.0754151
hearing	0.0751609
balloting	0.0751029
service	0.0749882
"summit meeting"	0.074618
fund-raiser	0.074594
"board meeting"	0.0744425
lottery	0.0741757
festivity	0.0738283
catalog	0.0737902
listing	0.0727784
competition	0.0725382
program	0.072288
demonstration	0.0720292
deal	0.071971
dealer	0.0718499
convention	0.0715402
merger	0.0714916
operation	0.0712324
voting	0.0705339
"art exhibition"	0.0704121
transfer	0.0703417
debate	0.07029
workshop	0.0700658
exchange	0.0699617
shop	0.0697967
business	0.0694756
screening	0.069464
poll	0.0694157
activity	0.0693102
venture	0.0689557
project	0.0685008
trial	0.0677018
talk	0.0676837
primary	0.0674621
eBay	0.0674373
e-commerce	0.0673612
takeover	0.0672933
presentation	0.0670857
publication	0.0670724
premiere	0.0668775
selling	0.066809
retailer	0.066775
distribution	0.0667721
exercise	0.0667035
negotiation	0.0666752
announcement	0.0661504
tournament	0.065828
opening	0.0657332
production	0.0655966
registration	0.0654546
trip	0.0652704
retail	0.0650905
Advertising	0.0650461
trade	0.0649864
visit	0.0649619
Entertainment	0.0648683
museum	0.0647114
company	0.0646179
"bond issue"	0.0642933
delivery	0.0641628
discussion	0.0638203
luncheon	0.0637255
display	0.0636356
bid	0.0635078
edition	0.0630571
chat	0.0629993
"council meeting"	0.0629785
caucus	0.0626464
race	0.0625814
"news conference"	0.062531
Olympics	0.0624506
strike	0.0623368
test	0.0623293
search	0.0622506
Expo	0.0620695
marathon	0.0618924
payment	0.061858
collector	0.0618565
Internet	0.0617858
swap	0.0617656
"department store"	0.0616779
survey	0.0616771
wedding	0.0616445
application	0.0616202
item	0.0614628
"primary election"	0.0614207
workout	0.0613564
investment	0.0613523
marketing	0.0609527
export	0.0607829
game	0.0607604
sell-off	0.0606619
banquet	0.0605447
Promotion	0.0605075
stock	0.0604207
"committee meeting"	0.0603291
performance	0.0602616
gallery	0.0601402
"retail store"	0.0600246
draft	0.0599634
subscription	0.0599565
emporium	0.059891
fee	0.0598837
donation	0.0598699
selection	0.0598597
buyer	0.0598091
product	0.0598016
series	0.0597026
"war game"	0.0596441
lease	0.0596158
selloff	0.0596157
banking	0.0595955
unveiling	0.0594465
raid	0.0594217
contract	0.0592369
review	0.0590703
inauguration	0.0590197
vote	0.0589744
"Olympic Games"	0.0589628
campaign	0.0589565
shipment	0.0589546
loan	0.0588196
bookstore	0.0587912
inventory	0.058717
tender	0.0586082
supermarket	0.0585126
match	0.0583379
funeral	0.0581343
"press conference"	0.0580389
broadcast	0.0579933
sweepstake	0.0578376
reorganization	0.0577787
"World Cup"	0.0577209
proceeding	0.0576894
"trading session"	0.0576853
signing	0.0576811
package	0.0576421
reception	0.057512
tasting	0.0573606
reunion	0.0573383
book	0.057156
art	0.0571296
commerce	0.0570357
appearance	0.0570287
bidder	0.0569913
reshuffle	0.0569833
fight	0.0569117
"Commonwealth Games"	0.0569057
inspection	0.0568705
Execution	0.0568448
))
("auction block" (desc 1778.21) (sims
"Oba Carr"	0.0764017
"Mandalay Bay"	0.075687
respirator	0.0696354
"Consumer Electronics Show"	0.0690436
newsstand	0.0644528
"personal business"	0.062232
DL	0.0616826
ventilator	0.0615604
"Hong Kong Stock Exchange"	0.0608711
"Solomon R. Guggenheim Museum"	0.0599121
"hot seat"	0.0588672
"up to @.@ percent"	0.0580561
"Orlin Norris"	0.0566455
"Caesars Palace"	0.0564098
"six billion"	0.055397
Xenia	0.0550704
Bowery	0.0544892
goalpost	0.054436
"Oliver McCall"	0.0528732
"Henry Akinwande"	0.0509019
"bankruptcy protection"	0.0505779
"about @.@ billion US dollars"	0.0498252
"first turn"	0.0495274
"nearly $@@"	0.0488251
"Ike Quartey"	0.0471414
sandbar	0.0470469
autopilot	0.0470429
"witness stand"	0.0468003
"Wood Memorial"	0.0464034
"first weekend"	0.0461854
dialysis	0.0459813
"Thanksgiving Day"	0.0456352
"Myanmar Embassy"	0.0451761
"finishing line"	0.0449334
Hendry	0.0445688
"Leeward Islands"	0.0444149
"Nagano Olympics"	0.0442275
"Millrose Games"	0.043243
"seven billion yuan"	0.0431056
"World Heritage List"	0.0430978
"six billion yuan"	0.0430212
"Lincoln Center Festival"	0.0428289
"Asian Championships"	0.042311
"BellSouth Classic"	0.0421757
"Avery Fisher Hall"	0.0416678
"Michael Grant"	0.0416127
"art department"	0.0415419
"rough water"	0.0414745
"two billion US dollars"	0.0414131
"almost $@@ billion"	0.0412736
"rock bottom"	0.0410257
"eight homers"	0.0400886
))
("auction house" (desc 17365.4) (sims
auctioneer	0.222144
Sotheby's	0.173496
Christie's	0.170073
auction	0.0985357
"toy retailer"	0.0938819
"brokerage firm"	0.0931548
"department store"	0.0925619
brokerage	0.0910549
"flea market"	0.0851204
"travel agency"	0.0848456
"art dealer"	0.0846482
"advertising agency"	0.0834645
"toy store"	0.083256
retailer	0.0825594
dealer	0.0807255
"ad agency"	0.0806527
"publishing house"	0.0800522
museum	0.0783433
"publishing company"	0.0765059
bookstore	0.076202
"computer store"	0.0758764
bookseller	0.0732603
"bus company"	0.0728412
"consulting firm"	0.0728234
eBay	0.0727877
publisher	0.0725563
"futures exchange"	0.0720186
collector	0.0715467
gallery	0.0704132
boutique	0.0703251
"retail chain"	0.070195
broker	0.0692647
"jewelry store"	0.0684679
distributor	0.0676765
wholesaler	0.0675771
Schwab	0.0675151
"brokerage house"	0.0674425
seller	0.0674177
salon	0.0668314
"specialty store"	0.066105
"software maker"	0.0659292
Webvan	0.0657836
drugstore	0.0656306
"Department of Health"	0.0654919
"science museum"	0.0654884
"retail store"	0.0649149
"literary agent"	0.0648865
"art gallery"	0.0644407
"accounting firm"	0.064403
"electronics company"	0.0641769
emporium	0.0637935
Clothier	0.0635798
"trucking company"	0.0634602
"gift shop"	0.0633319
"opera company"	0.0630695
"auto maker"	0.0629899
"trade association"	0.062952
"Pac Bell"	0.0623765
"consulting company"	0.0623671
ETrade	0.0620875
"auto manufacturer"	0.0619225
"Board of Elections"	0.0618087
"Home Depot"	0.0614312
manufacturer	0.0614121
Amazon	0.0612672
insurer	0.0611849
"insurance company"	0.0610608
Harrods	0.0608471
CNET	0.0607853
bookshop	0.0606703
"shipping company"	0.0605993
"Ford Motor Co."	0.0604534
"Cuban American National Foundation"	0.0604194
studio	0.0602075
Monsanto	0.0599878
"American Jewish Committee"	0.0599307
"discount store"	0.0595404
"mining company"	0.0594421
eateries	0.0592007
jeweler	0.0591731
Amazon.com	0.0590596
Impressionist	0.0590466
dealership	0.0589294
merchant	0.0587578
"food company"	0.0587194
BofA	0.0579347
institute	0.0578695
"stock exchange"	0.0577809
automaker	0.0577299
"interior designer"	0.0574652
Toysmart	0.057381
"printing company"	0.0571907
"Network Solutions"	0.0570972
"drug maker"	0.0570289
Aetna	0.0566816
"Carter Center"	0.0566456
airline	0.0564206
"investment house"	0.0563009
"chain store"	0.0561489
"travel agent"	0.0560633
chain	0.0557019
"Barnes &AMP; Noble"	0.0556795
"toy maker"	0.0555309
maker	0.0553975
"Bankers Trust"	0.0553829
McKesson	0.0551606
"Saks Fifth Avenue"	0.0550212
EarthLink	0.0549871
WebMD	0.0549864
"Wells Fargo"	0.0547248
vendor	0.0547138
carmakers	0.0546601
nightclub	0.0545822
"life insurer"	0.0544433
"school district"	0.0544297
"Thermo Electron"	0.0544179
"Morgan Stanley"	0.0543735
lender	0.0542645
"post office"	0.0542428
"market maker"	0.0540598
"phone company"	0.0539894
CDC	0.0539859
"US West"	0.0538681
university	0.0538482
"shopping center"	0.0537906
Wal-Mart	0.0537102
"Jewish Museum"	0.0536264
"U.S. Immigration and Naturalization Service"	0.0535881
"Time Warner"	0.053451
"financial institution"	0.0534095
automakers	0.0533796
"central bank"	0.0533415
"restaurant chain"	0.0533352
supermarket	0.0533327
Compaq	0.0531407
Priceline	0.0531132
Livent	0.0530268
"television station"	0.0529574
"Health Department"	0.0528426
"Coca-Cola Enterprises"	0.0527371
"delivery service"	0.0527079
Wyeth-Ayerst	0.0526836
resellers	0.0526265
association	0.0525504
EMC	0.0523037
supplier	0.0521887
developer	0.0521272
"Time Warner Inc."	0.0520932
RJR	0.0520725
"MCI WorldCom"	0.0520695
"investment banker"	0.0520538
"Sierra Club"	0.052033
winery	0.0520161
"nonprofit organization"	0.0520044
discounter	0.0519994
"department store chain"	0.0517065
"semiconductor maker"	0.0516093
Pharmacy	0.0515805
"grocery store"	0.0515149
CDnow	0.051371
MiniMed	0.0513655
"Con Edison"	0.0513271
AFL-CIO	0.0512311
"telephone company"	0.0512256
"Metropolitan Museum"	0.051032
"Vodafone Airtouch PLC"	0.0510111
"Metropolitan Museum of Art"	0.0508998
"European Bank for Reconstruction"	0.050837
"Deutsche Bank"	0.050656
"Ernst &AMP; Young"	0.050646
"Coca-Cola Co."	0.0506052
"radio station"	0.0506041
"Dow Corning"	0.0505745
appraiser	0.0505306
Humana	0.0505229
"Ministry of Agriculture"	0.050518
"car manufacturer"	0.0504872
bistro	0.0504368
"Smith &AMP; Wesson"	0.0504228
"National Marine Fisheries Service"	0.0503632
middlemen	0.0503435
"Sprint Corp."	0.0503378
"Andersen Consulting"	0.0503311
deli	0.0502514
"U.S. Trust"	0.050236
"defense contractor"	0.0502172
Marketspan	0.0502138
decorator	0.0502113
pub	0.0501784
"hardware store"	0.0501467
startup	0.0500732
taxicab	0.0500506
"Defense Ministry"	0.0498224
"Department of Agriculture"	0.049729
GeoCities	0.0496754
brewery	0.0496742
"Ministry of Foreign Trade and Economic Cooperation"	0.0496577
Sunbeam	0.0496271
provider	0.0496222
Drugstore.com	0.0496117
))
(auctioneer (desc 9331.45) (sims
"auction house"	0.222144
"toy retailer"	0.0932326
Sotheby's	0.0873202
bookseller	0.0855196
auction	0.0846507
stockbroker	0.0817356
seller	0.0803626
resellers	0.0750059
distributor	0.0727493
retailer	0.0725303
dealer	0.0721969
appraiser	0.0718136
broker	0.0695605
"food company"	0.0692074
"art dealer"	0.0689682
collector	0.0678198
grocer	0.0667895
wholesaler	0.0665538
"investment adviser"	0.0663852
"futures exchange"	0.0654639
shipbuilder	0.0653248
brokerage	0.0652651
"interior designer"	0.0651427
restaurateur	0.0642022
decorator	0.0631382
"software maker"	0.0623983
merchant	0.06198
"insurance firm"	0.0616225
marketer	0.0615338
restorer	0.0611999
"electronics company"	0.0606809
"auto manufacturer"	0.0599469
trader	0.0595226
issuers	0.0594778
homebuilder	0.0593933
"car manufacturer"	0.0592641
buyer	0.0586814
"advertising agency"	0.0578417
supplier	0.057353
Clothier	0.0571934
"market maker"	0.0571879
"brokerage firm"	0.0570011
Christie's	0.0569369
"life insurer"	0.0565033
"department store chain"	0.0563588
Drugstore.com	0.0562303
marketers	0.0560935
developer	0.0559034
"fashion designer"	0.0557542
"stock trader"	0.0555563
"brokerage house"	0.0554566
archivist	0.0550641
florist	0.0547671
"auto maker"	0.0546957
"art historian"	0.0543179
ornithologist	0.0542171
insurer	0.0541757
winemaker	0.0541158
"car dealer"	0.0537972
"car maker"	0.0535345
"insurance broker"	0.0535321
archeologist	0.0534288
publisher	0.0534158
archaeologist	0.0534072
"Amazon.com Inc."	0.0533389
purveyor	0.0531917
presenter	0.0528372
curator	0.052658
psychoanalyst	0.0525937
importer	0.0525172
"information provider"	0.0525033
"travel agency"	0.0522895
"real estate agent"	0.052265
Impressionist	0.0521648
librarian	0.0521363
middlemen	0.0520254
"retail chain"	0.0519633
sculptor	0.0515876
promoter	0.0514505
painter	0.0513043
cellist	0.0509031
broadcaster	0.0508876
"telephone operator"	0.050672
"newspaper editor"	0.050553
"banking company"	0.0504359
vendor	0.050407
shipper	0.0503576
builder	0.050194
"travel agent"	0.0497734
philanthropist	0.0495826
"insurance company"	0.0495468
"publishing house"	0.0495086
"traveling salesman"	0.0494726
"investment banker"	0.0494637
ETrade	0.049437
underwriter	0.0494304
caterer	0.0491922
grower	0.0491728
"toy store"	0.0490776
jeweler	0.0490041
emachines	0.0486852
"stamp collector"	0.0486655
banker	0.0486061
decision-makers	0.0484141
"flea market"	0.0482784
lender	0.0481959
photographer	0.0481861
entrepreneur	0.0479194
"real estate broker"	0.047869
landlord	0.0477859
salesman	0.0477754
merchandiser	0.047676
Priceline.com	0.047609
bookshop	0.0474378
reviewer	0.0468369
"publishing company"	0.0468339
breeder	0.0467863
accountant	0.0467424
salesmen	0.0466566
connoisseur	0.0466556
Barnesandnoble.com	0.0466166
Reel.com	0.0465501
hobbyist	0.0464991
"home builder"	0.0462906
transporter	0.046233
"mining company"	0.0456996
carmakers	0.045645
vintner	0.0455998
toymaker	0.0455405
contractor	0.0455116
chef	0.0454685
therapist	0.0454051
Webvan	0.0453526
Litigator	0.0453368
linguist	0.0452233
"real estate developer"	0.0451978
"insurance market"	0.0451728
"shipping company"	0.044995
"investment trust"	0.0449302
exporter	0.0448439
Judas	0.0448174
"social scientist"	0.0447202
educator	0.0446818
carmaker	0.044557
bottlers	0.0444855
eBay	0.0443958
evangelist	0.0443832
eToys	0.0443552
sommelier	0.0442434
"traffic cop"	0.0442349
"venture capitalist"	0.0441549
enthusiast	0.0441378
"trade association"	0.0439387
pharmacist	0.0439242
purchaser	0.0437568
businessman	0.0435105
cartoonist	0.0433895
reseller	0.043377
"art school"	0.0433633
raiser	0.0433315
pediatrician	0.0432755
steelmaker	0.0432464
"brokerage unit"	0.0431665
Amazon.com	0.0430911
pornographer	0.0430659
CDnow	0.0430175
"art director"	0.0430055
hauler	0.0429237
shopper	0.0427888
superstore	0.0427002
pallbearer	0.0425763
instructor	0.0425037
salesperson	0.0424786
headhunter	0.0424498
"talent scout"	0.0424397
"consulting company"	0.0424092
psychotherapist	0.0422646
"trade publication"	0.0422241
"club member"	0.0421872
benefactor	0.0421777
automakers	0.0420679
exhibitor	0.0419746
"art gallery"	0.0419158
"defense contractor"	0.0418992
"gold miner"	0.0418616
geologist	0.0418467
epidemiologist	0.0418428
startup	0.0417128
psychiatrist	0.0417128
"trucking company"	0.0417059
financier	0.0416816
publicist	0.0416372
barrister	0.0416285
issuer	0.0416017
"commercial bank"	0.0415632
biologist	0.0415623
"science museum"	0.0414187
historian	0.0414033
musicologist	0.0413574
psychologist	0.0413324
))
(audacity (desc 4594.71) (sims
chutzpah	0.0980528
inventiveness	0.0958416
tenacity	0.0819432
gall	0.0785842
hubris	0.0785082
vigor	0.0762168
courage	0.0747082
nuttiness	0.0746552
stamina	0.0728286
Creativity	0.0713509
pizazz	0.0707003
boldness	0.0706385
silliness	0.0701166
explosiveness	0.0684453
resilience	0.0670506
daring	0.0668432
dynamism	0.0668379
shrewdness	0.0664151
perseverance	0.0652066
gumption	0.0646879
"sex appeal"	0.0638395
ingenuity	0.0632527
cohesiveness	0.0630433
sophistication	0.0627327
brilliance	0.062315
artistry	0.0620577
inclination	0.0618155
bravado	0.0615253
virtuosity	0.0614095
self-confidence	0.0611956
irresponsibility	0.0610452
versatility	0.059633
persistence	0.0596075
flair	0.0589989
fluidity	0.0589619
heft	0.0588971
craftsmanship	0.058027
foresight	0.0580191
arrogance	0.0576014
guile	0.0573854
firepower	0.0573128
wherewithal	0.0566194
originality	0.0557955
playfulness	0.0555656
exuberance	0.05503
agility	0.0548113
imagination	0.0545787
fortitude	0.0539771
enormity	0.0535949
viciousness	0.0534127
oomph	0.053152
willpower	0.0530544
stupidity	0.0525829
competence	0.0525218
sensitivity	0.0520247
charisma	0.0518528
toughness	0.0515524
athleticism	0.0513555
grandeur	0.0512441
rightness	0.0512141
finesse	0.0511258
unreality	0.0510412
pretension	0.0510203
wildness	0.0509857
hypocrisy	0.0506594
intellect	0.0506487
dexterity	0.0505384
adaptability	0.0503524
Panache	0.0500459
vitality	0.049887
"hard work"	0.0498006
graciousness	0.0497684
corrective	0.0495626
laziness	0.0493396
craziness	0.0491247
verve	0.0488809
acumen	0.0485981
potentiality	0.0483807
cohesion	0.0479673
"sense of responsibility"	0.0478316
immensity	0.0477462
boosterism	0.0477008
vibrancy	0.0476834
"sense of purpose"	0.0476696
physicality	0.047669
composure	0.0476017
"inferiority complex"	0.0475214
zeal	0.0474657
responsiveness	0.0474607
spontaneity	0.0474463
sportsmanship	0.0473366
Openness	0.0473324
generosity	0.0473174
compassion	0.0472363
serendipity	0.0472001
cruelty	0.04683
prowess	0.0466402
self-discipline	0.0465077
nimbleness	0.0465063
sharpness	0.0463268
"drawing power"	0.0461717
quickness	0.0461126
foreplay	0.0460363
aptitude	0.0458596
savvy	0.0458544
cowardice	0.0458361
trickery	0.0455073
outrageousness	0.0453763
fervor	0.0452349
seriousness	0.0452346
clout	0.0451926
proclivity	0.045178
curiosity	0.0451753
temperament	0.0451749
spunk	0.0451458
opulence	0.0451386
ubiquity	0.0449967
aggressiveness	0.0449818
newness	0.0449543
professionalism	0.0449306
richness	0.0448465
individuality	0.044522
elegance	0.0443563
pragmatism	0.0442065
weirdness	0.0439514
traditionalism	0.0439447
exhilaration	0.0437819
assertiveness	0.0433222
ferocity	0.0433082
swagger	0.0432892
resiliency	0.0432129
inkling	0.0431658
razzle-dazzle	0.0431348
earthiness	0.0430157
vulnerability	0.0428719
stagecraft	0.0428289
humility	0.0428241
maturity	0.0427571
fluency	0.0427127
immediacy	0.0426212
"staying power"	0.042425
arbitrariness	0.0423789
potency	0.0422922
tact	0.042272
"good will"	0.0421898
favoritism	0.0420468
Ruehe	0.0420444
brevity	0.041961
cynicism	0.0419364
teamwork	0.0419316
endurance	0.0417723
self-promotion	0.0417162
showmanship	0.0416537
guts	0.0416412
flamboyance	0.0416359
ardor	0.0416008
practicality	0.041579
durability	0.0415494
conceit	0.0414933
deftness	0.041373
freshness	0.0413181
gravitas	0.041202
grit	0.0410426
sincerity	0.0406975
breadth	0.0406669
edginess	0.0406546
informality	0.0405495
accoutrement	0.0405377
clarity	0.0405062
sameness	0.0405004
simplicity	0.0403816
calibre	0.0403312
ineptitude	0.0403312
"high spirits"	0.0402912
naivete	0.0401972
"joie de vivre"	0.040082
ordinariness	0.0400794
Heard	0.0400786
writer-director	0.0400393
ruthlessness	0.0400232
))
(Audette (desc 1740.35) (sims
Smolinski	0.305293
Stumpel	0.281434
Robitaille	0.243645
Palffy	0.239088
"Luc Robitaille"	0.195586
"Glen Murray"	0.192792
Niedermayer	0.185447
Andreychuk	0.179975
"Donald Audette"	0.173542
"Bryan Smolinski"	0.163931
Primeau	0.159553
Reichel	0.155252
Tkachuk	0.154801
Langenbrunner	0.153781
LeClair	0.149824
Lacroix	0.144844
Rucchin	0.140522
Laperriere	0.139981
Duchesne	0.137953
Recchi	0.137834
Tverdovsky	0.137808
"Ziggy Palffy"	0.137039
Holik	0.135666
Bure	0.133731
Heinze	0.131689
Gorter	0.130421
Laettner	0.129
Lafleur	0.128917
Cienfuegos	0.126934
Nedved	0.12508
Hendrickson	0.124944
Kamensky	0.124698
Wynalda	0.124528
Gilmour	0.123471
Tocchet	0.121785
axelsson	0.120095
Sydor	0.119038
Grbac	0.118273
Bergkamp	0.116462
Blake	0.116026
Verbeek	0.115897
Leetch	0.115834
Turgeon	0.115757
Yashin	0.114967
Carbonneau	0.114429
Lehtinen	0.113824
Zubov	0.112372
Selanne	0.111906
Forsberg	0.11151
Artest	0.111453
"Fredrik Olausson"	0.111452
Barrie	0.110355
Fedorov	0.109324
"Jozef Stumpel"	0.109208
Roenick	0.108877
DiSarcina	0.108233
Yzerman	0.106371
Drury	0.106208
Nieuwendyk	0.104849
Hurtado	0.104249
Asprilla	0.103313
"Rob Blake"	0.10294
Jagr	0.10273
Daigle	0.102427
Salo	0.101221
"Peter Bondra"	0.100763
Plante	0.100206
"Mattias Norstrom"	0.100203
DeShields	0.09998
Laudrup	0.0998856
Cirillo	0.0985972
Anelka	0.0984799
Neely	0.0984458
Jonsson	0.0982698
Sykora	0.0981942
Kariya	0.0971418
McIver	0.0964711
Alicea	0.0957851
Kovalev	0.0956276
Modano	0.0956247
"Vladimir Tsyplakov"	0.0955082
Renteria	0.0947463
Lassiter	0.094692
Woolley	0.0946601
Baerga	0.0944501
Storr	0.0941064
hermosillo	0.0940541
Fleury	0.0937323
Bierhoff	0.0935101
Pederson	0.0933611
Godfrey	0.0927842
Graziani	0.0927575
Matvichuk	0.0926037
Capel	0.0921958
Kluivert	0.0918521
PRONGER	0.0916988
McInnis	0.0914965
Fizer	0.0914541
Suker	0.0911771
"Robert Reichel"	0.0905204
LaPointe	0.0895175
Sakic	0.0887693
"Ron Francis"	0.0884486
Mendez	0.088432
Hardeman	0.0884203
"Petr Nedved"	0.0883094
"Brett Hull"	0.0876522
"Aki Berg"	0.0871335
Sehorn	0.0870741
Weatherspoon	0.0863258
Messier	0.0861835
Lofton	0.0861446
Donato	0.0859603
Etcheverry	0.0859446
Geiger	0.0858893
Stillman	0.0858221
Irvan	0.0855451
Peca	0.0850044
Keane	0.0849635
Kealy	0.0842339
Milbury	0.0841042
"ZIGMUND PALFFY"	0.0839736
CORYATT	0.0839632
"Olli Jokinen"	0.0839574
Hatcher	0.0839417
"two pitchers"	0.0838878
O'Donnell	0.0838862
Caminiti	0.0838245
Sundin	0.0834498
Shenhua	0.0833024
"Ian Laperriere"	0.0831899
Najera	0.0831351
Arnott	0.0830718
Fiset	0.0829923
"Scotty Bowman"	0.0828536
Vieri	0.0827768
Sampaio	0.0826448
"Stephane Fiset"	0.0825828
McNair	0.0824813
Lindros	0.0824476
Dilfer	0.0824411
Brunell	0.0823878
Ripken	0.0823792
"Jason Allison"	0.0821462
Bourque	0.082126
Bonilla	0.0820475
MacLean	0.0813692
Welton	0.0812594
Murrell	0.0811411
"Eric Lindros"	0.0806404
Samsonov	0.0805548
Velarde	0.0804161
Stinnett	0.0797623
Sabonis	0.0797329
"Paul Kariya"	0.0796585
Samuelsson	0.0795902
Hundley	0.0794165
McKenna	0.0794152
Rolen	0.0793187
Bullard	0.0791576
"Joe-Max Moore"	0.0788539
Barrasso	0.0788386
DiMaio	0.078549
Paus	0.078408
McGinest	0.0783656
Harbaugh	0.0783495
Alou	0.0776329
Zanardi	0.0775635
"Van Exel"	0.0773848
Batistuta	0.0772324
"Joe Nieuwendyk"	0.0771495
Lobo	0.0771336
Kukoc	0.0765875
Cassell	0.076537
Linden	0.0764574
"Kristine Lilly"	0.0763395
Chelios	0.0763062
Herta	0.0762946
Buhner	0.0761025
Schottenheimer	0.0758772
Berard	0.0758093
Gretzky	0.0757674
Ricci	0.075733
Brogna	0.0757121
"Teemu Selanne"	0.0756994
"Jeremy Roenick"	0.075684
Akers	0.0756834
Meggett	0.0756317
Meares	0.0755513
Kidd	0.0751029
Inman	0.0750686
"Guy Carbonneau"	0.0749405
"Ray Bourque"	0.0748119
White-McCarty	0.0746893
Cullen	0.0745784
"Steve Duchesne"	0.0744597
Huskers	0.0744521
Nesby	0.074001
Hollandsworth	0.0739132
Henning	0.0737851
))
(Audi (desc 8127.51) (sims
Saab	0.273537
BMW	0.264653
Porsche	0.25821
Mercedes-Benz	0.256268
Volvo	0.25018
Opel	0.245781
Volkswagen	0.243746
Acura	0.228466
Lexus	0.227976
Infiniti	0.212929
Peugeot	0.203288
"Mercedes Benz"	0.20255
Toyota	0.198183
Honda	0.194068
Mazda	0.192593
Subaru	0.191119
Fiat	0.191076
Mercedes	0.183727
VW	0.181302
Renault	0.17816
Cadillac	0.176904
Nissan	0.174711
Citroen	0.171613
Chrysler	0.171139
Skoda	0.165662
"Land Rover"	0.157201
Jetta	0.154268
Rolls-Royce	0.152308
Daimler-Benz	0.147347
Mitsubishi	0.144884
"Rolls Royce"	0.135986
DaimlerChrysler	0.133023
Saturn	0.132359
rover	0.129643
"General Motors"	0.128772
"Volkswagen AG"	0.128266
Ford	0.124923
"Ford Motor"	0.12351
Jaguar	0.122605
Passat	0.119618
Buick	0.119066
Hyundai	0.117584
Oldsmobile	0.116318
Siemens	0.108001
Chevrolet	0.107212
Isuzu	0.105728
Bentley	0.100896
"Ford Motor Co."	0.100558
Ferrari	0.0955282
Kia	0.0951198
BASF	0.0918361
BMWs	0.0904186
Chevy	0.0894942
Daewoo	0.0877066
"Mitsubishi Motors"	0.0873319
"Ford Focus"	0.0866413
dodge	0.0854465
"General Motors Corp."	0.0854379
a@	0.0850847
"Delphi Automotive Systems"	0.0844981
GM	0.0842266
Lincoln	0.0832734
"Ford Motor Company"	0.0821595
Bayer	0.0803019
"Daimlerchrysler AG"	0.0802302
V@@	0.0799046
Pontiac	0.0796604
"Renault SA"	0.0790451
"Audi A@"	0.0785765
"Chrysler Corp."	0.0760155
subcompact	0.076006
Sedan	0.0751573
Hummer	0.0748461
"GE Capital"	0.0747296
L'Oreal	0.0744341
"Kraft Foods"	0.0742544
Cadillacs	0.0732724
Camry	0.0725538
Daimler	0.0723188
Prius	0.0721052
Porsches	0.0705539
Michelin	0.0704432
Anheuser-Busch	0.0703937
ENTERGY	0.0702732
CompuServe	0.0702399
Uunet	0.0695716
"Toyota Motor Corp."	0.0690296
Electrolux	0.0687733
"Jeep Grand Cherokee"	0.0683588
jeep	0.0682892
Frito-Lay	0.0680715
"Honda Accord"	0.0673641
G.M	0.0672634
GMC	0.0663114
Stratus	0.0658067
Taurus	0.0655518
VISTEON	0.0654272
"Ford Taurus"	0.0653662
Roush	0.0649317
Lamborghini	0.0647641
impala	0.0643733
"Prudential Insurance Co."	0.0638234
hatchback	0.0636262
"Hughes Electronics"	0.0635438
V-@@	0.0633972
"Wyeth-Ayerst Laboratories"	0.0631344
"Range Rover"	0.0625847
"Jeep Cherokee"	0.0624415
convertible	0.0622669
"First USA"	0.0621166
Daimler-Chrysler	0.0620894
"Sprint PCS"	0.0620118
Levi's	0.0617696
midsize	0.0613678
Plymouth	0.0612453
Delphi	0.0610411
Instinet	0.0607706
"compact car"	0.0607383
"British Aerospace"	0.0607278
Sega	0.0606198
DeVille	0.0604596
Unilever	0.060418
"Lincoln Navigator"	0.0601642
carmakers	0.0599975
"Toyota Corolla"	0.0599949
automaker	0.0596241
"auto maker"	0.0592795
NIKE	0.059134
"passenger car"	0.0585294
"Chevrolet Monte Carlo"	0.0585231
Budweiser	0.058508
carmaker	0.0583629
Suzuki	0.0583285
Cyrix	0.058247
"Honda Civic"	0.0582141
corvette	0.0581521
Scania	0.0580661
"car maker"	0.0580542
Hitachi	0.058032
"Estee Lauder"	0.0578683
REVLON	0.0575199
Astra	0.056788
"Nissan Motor Co."	0.056666
Ericsson	0.0566128
Fedex	0.0565644
Pirelli	0.0562997
"Volvo AB"	0.0561414
automakers	0.0555009
Tropicana	0.0552414
minivan	0.0550972
Coupe	0.0549347
Samsung	0.0547247
SUVs	0.0547008
TYCO	0.0542866
S@@	0.0542563
Pepsi	0.0541248
MG	0.0539939
"Cadbury Schweppes"	0.0538561
"Pratt &AMP; Whitney"	0.0538352
SUV	0.0535913
"Learning Co."	0.0535035
"Sony Corp."	0.0532763
"New Beetle"	0.0531291
Santana	0.0531125
"Deutsche Bank"	0.0527723
Sony	0.0526951
HP	0.052607
Krupp	0.0524911
Kodak	0.0524253
Rolex	0.0524228
Firestone	0.0523808
Duracell	0.0522686
"station wagon"	0.0521789
Reebok	0.0521535
"Toyota Camry"	0.0520403
Motorola	0.0520243
auto	0.0520217
VICKERS	0.0518881
"Sara Lee"	0.0517948
Esso	0.0517211
Nabisco	0.0515704
Westinghouse	0.051558
Bertelsmann	0.0515164
"Volkswagen Beetle"	0.0514036
Coca-Cola	0.0512225
WINDSTAR	0.0510165
Yukos	0.050921
V@	0.0508732
pickup	0.0508022
two-seater	0.0507587
"Coca-Cola Co."	0.0505279
Proton	0.0504583
"electric car"	0.050382
Maytag	0.050334
"diesel engine"	0.0500822
ABB	0.0500672
"Conde Nast"	0.0499705
"Pepsi Cola"	0.049936
Pillsbury	0.0498933
Enron	0.0498838
))
("Audi A@" (desc 1298.65) (sims
a@	0.154627
"Ford Focus"	0.123148
Jetta	0.115154
"New Beetle"	0.10976
"Volkswagen Beetle"	0.0984633
Alero	0.0877053
V@@	0.0835915
Audi	0.0785765
Passat	0.0753121
"Jeep Grand Cherokee"	0.0694396
"Honda Accord"	0.0684862
"Land Cruiser"	0.0646265
Lexus	0.0635682
four-door	0.0628729
"Range Rover"	0.0604274
Camry	0.059852
"Ford Explorer"	0.0590193
"Mercedes Benz"	0.0568478
sport-utility	0.0561301
hatchback	0.0558135
BMWs	0.0547372
Maxima	0.0545259
"Honda Civic"	0.0540175
airbags	0.0515032
"Lincoln Town Car"	0.0512527
Porsche	0.0503646
"Chevrolet Suburban"	0.0496876
SUVs	0.0480197
"exhaust system"	0.0470353
Puma	0.0462087
"PT Cruiser"	0.0460846
mini-vans	0.0450886
A@@@-@@@	0.0442945
ESCALADE	0.0426291
DeVille	0.0426071
Powerbook	0.0425844
Bentley	0.0425493
Humvees	0.042457
Prius	0.0422363
"Ford Taurus"	0.0418747
mini-van	0.0417061
"artillery unit"	0.0416912
"interior design"	0.0409445
"Palm III"	0.0407033
"Parent Trap"	0.040341
Citroen	0.0401156
))
(audience (desc 188190) (sims
viewer	0.222388
crowd	0.215894
fan	0.169768
Reader	0.167503
listener	0.161405
public	0.144165
voter	0.143545
consumer	0.143231
people	0.134629
customer	0.12216
visitor	0.111471
kid	0.111276
user	0.110365
moviegoer	0.109255
student	0.109104
community	0.108025
spectator	0.107931
investor	0.106757
child	0.102176
everyone	0.101609
group	0.100119
American	0.0999002
guest	0.0993904
folk	0.0985574
buyer	0.0973226
readership	0.0966883
parent	0.0961884
reporter	0.0954434
population	0.095207
advertiser	0.0950361
media	0.09414
those	0.0930196
electorate	0.0929901
woman	0.092708
adult	0.0920406
generation	0.0918183
youngster	0.0912909
many	0.0912414
resident	0.0903659
throng	0.0903108
teens	0.0900904
anyone	0.0900463
shopper	0.089743
congregation	0.0896709
family	0.0894295
market	0.0891755
viewership	0.0884278
delegate	0.0877502
everybody	0.0877028
critic	0.087553
teen-ager	0.0873214
world	0.087163
artist	0.0867951
tourist	0.086605
participant	0.0860179
supporter	0.0856006
traveler	0.0854215
show	0.085182
gallery	0.0845925
theatergoer	0.0841898
"New Yorker"	0.083858
player	0.0834791
me	0.0830829
member	0.0828826
nation	0.0818596
patron	0.0818373
youth	0.081606
attendance	0.0813201
journalist	0.0810442
colleague	0.0809462
some	0.0797334
musician	0.0793963
music	0.079145
man	0.07887
client	0.0786495
us	0.078498
them	0.078256
patient	0.0782345
cast	0.0780019
you	0.0778139
lawmaker	0.0778
citizen	0.077532
movie	0.0773683
society	0.0773174
performer	0.0771654
writer	0.0770787
gathering	0.0767647
onlooker	0.0766309
clientele	0.0765929
Republican	0.0763542
rating	0.0761894
character	0.0761626
person	0.0761359
actor	0.0760793
juror	0.0760196
jury	0.075834
friend	0.0757749
majority	0.0756767
politician	0.0756017
employee	0.0754349
someone	0.0754298
athlete	0.0751468
staff	0.0750651
household	0.0750147
constituent	0.0747258
Democrat	0.0747179
worker	0.0743499
business	0.0742919
"work force"	0.0742121
others	0.0740896
girl	0.0740003
mass	0.0738156
him	0.0735809
minority	0.0730882
press	0.0730802
number	0.0728573
teacher	0.0727826
theater	0.0725642
life	0.0720096
culture	0.0719934
band	0.071311
million	0.071152
faithful	0.0706757
industry	0.070604
male	0.0705731
"sports fan"	0.0703525
programming	0.0703248
attention	0.070282
network	0.0702408
"baby boomer"	0.070194
professional	0.0701738
country	0.0698177
teammate	0.0697525
anybody	0.0696937
subscriber	0.0695331
all	0.0694452
executive	0.0692462
celebrity	0.0688522
producer	0.06872
talent	0.0686713
filmmakers	0.0685949
farmer	0.068465
hundred	0.0684249
guy	0.0684221
America	0.0683614
Russian	0.0682696
official	0.0682058
surfer	0.0678895
class	0.0678588
her	0.0678574
segment	0.0677155
camera	0.0676855
lot	0.0675791
constituency	0.0674687
company	0.0673045
thousand	0.0672619
one	0.067042
film	0.0668423
organization	0.0668209
team	0.0667965
"age group"	0.0667181
most	0.0665555
black	0.0665367
orchestra	0.066431
conservative	0.0663968
Hispanic	0.0662851
doctor	0.0662143
"business community"	0.0661431
television	0.0657515
"college student"	0.0656514
"news media"	0.0655329
donor	0.065463
scientist	0.0654141
teenager	0.0654
peer	0.0653322
legislator	0.0653264
room	0.065317
owner	0.0652176
boy	0.0651677
Congress	0.0649441
judge	0.0647447
collector	0.0646154
image	0.0643123
individual	0.0643052
scholar	0.0641305
businessmen	0.0639065
enthusiast	0.0637759
diner	0.06357
passenger	0.0635437
lover	0.063497
"middle class"	0.0634478
"each other"	0.0632777
voice	0.0631199
leader	0.0628997
host	0.0628294
shareholder	0.0622962
interest	0.0622411
mother	0.0620195
follower	0.0619513
activist	0.0619322
))
(audio (desc 32748.5) (sims
video	0.187211
multimedia	0.14089
graphics	0.124963
"compact disc"	0.122879
software	0.120806
cassette	0.116476
VCDs	0.114355
MP@	0.112672
music	0.111953
"compact disk"	0.110457
Recording	0.109949
VCD	0.106339
CD-ROM	0.105713
CD	0.105234
download	0.103619
HDTV	0.101016
animation	0.100515
data	0.0975159
DVDs	0.0960496
programming	0.0951667
videotape	0.0937743
file	0.0916811
Entertainment	0.0915235
DVD	0.0908403
tape	0.0897754
text	0.089719
disc	0.0887648
Computer	0.0881939
recorder	0.0876305
audiotape	0.0875063
clip	0.087331
imaging	0.0871342
analog	0.0859211
transmission	0.0850759
communication	0.0843039
telephony	0.0842407
stereo	0.0840525
hardware	0.0839596
"cassette tape"	0.0836479
"computer hardware"	0.083396
"video game"	0.0828841
playback	0.0828556
LDs	0.0827226
material	0.0825851
GPS	0.0824359
sound	0.0819697
database	0.0812851
broadband	0.0805863
television	0.0804009
email	0.0803966
broadcast	0.0802516
information	0.0799746
pornography	0.0788692
videocassette	0.0788366
TV	0.0787955
merchandise	0.0785839
"consumer electronics"	0.0783231
image	0.078301
MP@s	0.0777719
spreadsheet	0.0777246
"software product"	0.0768643
broadcasting	0.0767963
PC	0.0757693
electronics	0.0755818
modem	0.0755677
scanner	0.075191
semiconductor	0.0750926
disk	0.0749679
appliance	0.0747229
networking	0.0747095
navigation	0.0746086
photo	0.0742286
connectivity	0.0742157
telecommunication	0.0739582
content	0.0739094
DSL	0.0737335
"data communication"	0.0734212
"TV program"	0.0732423
Encryption	0.0732146
"sound system"	0.0726211
wireless	0.0724659
"cable television"	0.0723861
technology	0.0721426
Quicktime	0.0720547
equipment	0.0719419
printing	0.0719229
"computer game"	0.0713935
server	0.0707734
device	0.0706679
"sound effect"	0.0704715
product	0.070438
digital	0.070176
access	0.0700343
"communications equipment"	0.0700193
map	0.0699385
format	0.0699332
camera	0.0698738
"telephone service"	0.0698373
sonar	0.0696421
BLUETOOTH	0.0695157
VCR	0.0694365
photograph	0.0692059
browser	0.0691465
"information service"	0.0690923
interface	0.0688396
"electronic device"	0.0686632
picture	0.0686273
publication	0.0686054
application	0.0685723
Internet	0.0682422
"electronic mail"	0.0680554
copy	0.067716
"phone service"	0.0675603
"personal computer"	0.0673602
amplifier	0.0672917
"audio CD"	0.0670185
brochure	0.0667888
footage	0.0667544
chat	0.066754
"integrated circuit"	0.0665491
radio	0.0662635
"electronic equipment"	0.0662567
goods	0.0661634
"communications service"	0.0659737
automation	0.0659539
workstation	0.065927
"computer equipment"	0.0658511
voice	0.0658464
"audio system"	0.06579
Song	0.0656162
web	0.0654743
"high quality"	0.0654555
"computer network"	0.065396
"radio broadcast"	0.0652438
cable	0.0651041
"sheet music"	0.0646474
"television set"	0.064605
demo	0.0645492
Ethernet	0.0644265
copier	0.0641598
"optical fiber"	0.0641209
"Windows @@"	0.063777
Advertising	0.0636263
microprocessor	0.0632082
photography	0.0631421
"disk drive"	0.0629996
"fiber optics"	0.0628846
card	0.0628794
Encyclopedia	0.0626692
network	0.0626515
tuner	0.0625361
document	0.0624488
printer	0.062333
bandwidth	0.0621159
telephone	0.0620835
sensor	0.0619468
toy	0.0618361
soundtrack	0.061823
webcasts	0.0618191
Webcast	0.0614776
directory	0.0614625
filtering	0.0614054
router	0.061303
computing	0.0611828
"tv set"	0.0611206
translation	0.0607897
Lighting	0.0607762
"household appliance"	0.0607432
"radio frequency"	0.0606369
"computer graphics"	0.0603772
"CD player"	0.0602757
Gaming	0.0602745
commerce	0.0602582
"customer service"	0.0602258
"fax machine"	0.0599047
editing	0.0598236
DIVX	0.0597343
listing	0.059614
processor	0.0596076
publishing	0.0594528
"wireless telephone"	0.0593761
news	0.0593667
phone	0.0591778
textbook	0.0591033
VHS	0.0590813
movie	0.0589716
transcript	0.0586926
machinery	0.0586095
booklet	0.0585893
artwork	0.0585446
"motion picture"	0.0583037
tool	0.0583003
"classical music"	0.0582971
copying	0.0582934
"film clip"	0.0582428
distribution	0.0581709
documentation	0.0581657
apparel	0.0578811
radar	0.0576694
"cellular phone"	0.0576317
))
("audio CD" (desc 1659.83) (sims
"compact disc"	0.142338
CD-R	0.113847
"compact disk"	0.106249
floppy	0.103984
videogames	0.101018
croquet	0.0991369
"data file"	0.0874427
disk	0.0849685
VCD	0.0834871
Scrooge	0.0815092
CD-ROM	0.081237
DVDs	0.0792329
"video game"	0.0791653
VHS	0.0790976
"board game"	0.0790178
diskette	0.0788826
"Liquid Audio"	0.0768913
gotcha	0.0760084
"computer game"	0.074624
"fortune cookie"	0.0745027
Lotto	0.0741288
"floppy disk"	0.0725223
"professional basketball"	0.071446
Projector	0.0710126
videocassette	0.0703713
ISO@@@@	0.0699844
audiotape	0.0699311
VCDs	0.0697147
VCR	0.0696435
"French horn"	0.0693172
"television program"	0.066574
"cassette tape"	0.0663482
Chemo	0.0659969
bagpipe	0.0648753
tuba	0.0647264
DIVX	0.064157
blackjack	0.0641529
roulette	0.0640264
MP@	0.0639224
CRT	0.0632629
"professional baseball"	0.0632422
LDs	0.0631476
oboe	0.062253
Scrabble	0.0622286
videogame	0.0621749
"second fiddle"	0.061515
solitaire	0.0613845
Tabla	0.0611918
endoscope	0.060771
"acoustic guitar"	0.0602521
keystroke	0.0602467
"sound recording"	0.0602389
widget	0.0599833
"hearing aid"	0.0594825
"feature film"	0.0594246
"air filter"	0.0588725
tuner	0.0586884
libero	0.0581798
"theater ticket"	0.0576471
"CD player"	0.0575019
"filing cabinet"	0.0574706
ping-pong	0.0573325
"GI Joe"	0.0573023
"accounting system"	0.0569617
ECN	0.0568483
"user interface"	0.056799
warhorse	0.0565205
PlayStation	0.0564337
asp	0.0563344
e-BOOKS	0.0558992
"TV star"	0.0552043
"steel guitar"	0.0547615
"piece of music"	0.0544063
livery	0.0543855
handhelds	0.0543547
barbell	0.0543275
LPs	0.0541345
camcorder	0.0540439
playlist	0.0539432
"memory chip"	0.0536933
Shockwave	0.0536908
DVD-ROM	0.0536423
collider	0.0536357
"mainframe computer"	0.053574
MD	0.0526048
"Windows Media Player"	0.0525916
Sethe	0.0525748
mini-series	0.0522973
regionals	0.0522386
"Phenix City"	0.0521936
"investment company"	0.0519233
lacrosse	0.05184
Quicktime	0.0516797
"chain letter"	0.0516573
spreadsheet	0.0516445
"telephone wire"	0.0513529
Oriole	0.0512111
Obilic	0.0511107
motherboards	0.0508144
"disk drive"	0.0507714
"American football"	0.0507087
"line of products"	0.0506153
"laundry detergent"	0.0505148
mandolin	0.0502798
"musical chair"	0.0501685
emulator	0.0500952
Bingo	0.0500055
"American Basketball League"	0.0497737
"comic book"	0.0497597
API	0.0497229
Encyclopedia	0.0496253
"Kostya Tszyu"	0.0496174
saxophone	0.049482
earning	0.0494421
"entertainment center"	0.0493572
Villareal	0.0492496
microprocessor	0.0492396
"telephone book"	0.0490045
"storage device"	0.0489752
"greeting card"	0.0488908
extras	0.0484096
snooker	0.0483172
"vacuum cleaner"	0.0481177
workbook	0.0478925
"medical record"	0.0478262
"scientific instrument"	0.0477644
"nuclear family"	0.0477607
Sax	0.0477273
"Rugrats Movie"	0.0477189
dowel	0.0476704
self-portraits	0.0474817
Atlas	0.0474657
camcorders	0.0473354
phonograph	0.0472946
"audio system"	0.0471905
"Ideal Husband"	0.0470341
"coffee maker"	0.0470005
Docudrama	0.046926
cassette	0.046904
jacks	0.0468809
"Palm III"	0.0468451
"Croatia Zagreb"	0.0467364
CPU	0.0465379
"break of serve"	0.0465285
transcription	0.0464555
"sheet music"	0.0463996
keypad	0.046356
"voting machine"	0.0462536
"video equipment"	0.0458997
Ozzie	0.0457681
accretion	0.0457179
armoire	0.0454474
Unix	0.0454188
checker	0.0454167
Powerball	0.0453816
preachy	0.0453072
workstation	0.0452022
"reference work"	0.0450251
password	0.0448989
"portable computer"	0.0448713
"tape player"	0.0448502
"Lethal Weapon"	0.0448163
"computer application"	0.0447103
"cellular telephone"	0.0446775
"hypodermic needle"	0.0446393
Marimba	0.0445375
"parlor game"	0.0444785
roofing	0.0444533
"telephone system"	0.0444233
"miniature golf"	0.0444076
"gefilte fish"	0.0444075
"electric current"	0.0443911
typography	0.044204
workroom	0.0441844
"economic theory"	0.0441466
"first CD"	0.0439257
"puppet show"	0.0439136
"brokerage account"	0.0438996
"electronic database"	0.0438581
"entitlement program"	0.0437103
"phone jack"	0.0436766
"Obi-Wan Kenobi"	0.0436103
banjo	0.0436075
classifieds	0.0435843
karaoke	0.0434781
copier	0.0434417
"motor oil"	0.0432574
"first eight"	0.0431022
"rocket fuel"	0.0430474
hardball	0.0430278
"Solheim Cup"	0.0429205
add-on	0.0429052
Amour	0.0428566
"electronic mail"	0.0427836
"ice hockey"	0.0427777
"Wonderful World"	0.0427062
"X-ray machine"	0.0426777
RV	0.0424039
impala	0.0423958
lithograph	0.0423857
))
("audio system" (desc 3857.68) (sims
stereo	0.240308
"stereo system"	0.195238
"sound system"	0.183252
wiper	0.118935
"power steering"	0.106614
amplifier	0.104119
sunroof	0.0991102
"cruise control"	0.0917163
"alarm system"	0.0913686
changer	0.0909567
"bucket seat"	0.0896197
"speaker system"	0.0894973
"CD player"	0.0879237
"suspension system"	0.0874344
"videocassette recorder"	0.0845716
"air bag"	0.0823555
"outside mirror"	0.0752553
avionics	0.0726888
defroster	0.0725176
"cassette recorder"	0.0719144
VCR	0.0699316
"telephone set"	0.0690706
"steering wheel"	0.0686053
camcorders	0.0676353
air-conditioning	0.0672601
"color television"	0.0664885
audio	0.06579
"catalytic converter"	0.0654257
"electronic equipment"	0.0650039
"tape recorder"	0.0647013
transmitter	0.0632538
brake	0.0616153
"video equipment"	0.0611763
"windshield wiper"	0.0604595
instrumentation	0.0603515
headlight	0.0598889
"electrical system"	0.0593782
"ventilation system"	0.0583757
camcorder	0.0579221
workstation	0.0570586
ABS	0.0570576
"tv set"	0.0562673
"security system"	0.056203
headphone	0.0561672
joysticks	0.0557656
"automatic transmission"	0.0555482
"television set"	0.0550945
steering	0.0543212
upholstery	0.0543198
conditioner	0.0541876
"entertainment center"	0.0536174
"communications equipment"	0.0534051
decoder	0.0529356
"control system"	0.0523802
"clock radio"	0.0522178
scanner	0.0518887
printer	0.0515651
joystick	0.0512499
"automatic teller machine"	0.0512395
"Mac OS"	0.0510658
router	0.0503761
"electronic device"	0.0502432
"hand-held computer"	0.0501381
adapter	0.0498885
"laser printer"	0.0496611
"electric motor"	0.0496475
"telephone network"	0.0492256
recorder	0.0489738
"memory chip"	0.0488848
headrest	0.0487613
"fax machine"	0.0486734
odometer	0.0485924
sensor	0.0485536
peripheral	0.0483178
diskette	0.0482203
copier	0.0482086
"telephone system"	0.0478895
dashboard	0.0478061
microprocessor	0.0474775
circuitry	0.0472553
"communication system"	0.0472262
"audio CD"	0.0471905
notepad	0.0464334
"exhaust system"	0.0461008
"disk drive"	0.0460229
conditioning	0.0458148
"scientific instrument"	0.0455529
photocopier	0.0454149
"heating system"	0.0453847
thermostat	0.045317
V-@.	0.0450394
washer	0.0450289
airbags	0.0445913
tuner	0.0445358
seating	0.0443765
switchboard	0.0441444
"machine tool"	0.0438844
gearbox	0.0435476
four-cylinder	0.0435407
"line of products"	0.0435242
"computer equipment"	0.0435201
SAMPLER	0.0434865
windscreen	0.0433756
"cassette player"	0.0432409
AWACS	0.0431314
axle	0.0430702
Unix	0.043033
"microwave oven"	0.0429588
microcomputer	0.0429044
"home appliance"	0.0428876
"hard disk"	0.0428703
motherboard	0.0428425
"gas pedal"	0.0428305
heating	0.0426298
"laundry detergent"	0.0426256
"communications network"	0.0424628
V@	0.0424562
"phone jack"	0.0424287
wiring	0.0424131
desktop	0.0423419
heater	0.0422131
visuals	0.0421837
windshield	0.0421083
claimer	0.0417881
gameplay	0.0414614
"exercise equipment"	0.0414382
infrared	0.0412629
thesaurus	0.0411572
ventilation	0.0411122
"sprinkler system"	0.04098
radiator	0.0409735
"video screen"	0.0408224
"office space"	0.0406148
emulator	0.0405391
"time clock"	0.0403292
"software product"	0.0400462
))
(audiotape (desc 4267.55) (sims
"tape recording"	0.19214
tape	0.138656
"cassette tape"	0.137025
videotape	0.132313
transcript	0.130183
cassette	0.126369
"compact disk"	0.116606
"compact disc"	0.103765
CD-ROM	0.101025
DVDs	0.100942
Recording	0.0924133
audio	0.0875063
wiretap	0.0861343
"written material"	0.0857228
"Starr Report"	0.0843842
CD	0.082966
VCDs	0.0798735
"first CD"	0.0737837
DVD	0.0728863
LDs	0.0724367
"newspaper clipping"	0.0722281
"audio CD"	0.0699311
pamphlet	0.0695089
disk	0.0671735
disc	0.0659856
videocassette	0.0644708
"home movie"	0.0619955
footage	0.0616867
snippet	0.060527
Walkman	0.0598536
"computer game"	0.0591834
videogames	0.0588347
deposition	0.0586033
"videocassette recorder"	0.057232
workbook	0.0567665
diary	0.0552336
transcription	0.0549558
"sheet music"	0.0546646
"floppy disk"	0.0540389
excerpt	0.0527911
"video game"	0.0527355
recorder	0.0513809
"Star-Spangled Banner"	0.0513047
"newspaper article"	0.0510591
VCR	0.0497973
"Linda Tripp"	0.049496
notepad	0.0491265
VCD	0.0487391
manuscript	0.0484749
"cassette recorder"	0.0471614
booklet	0.0471577
"film clip"	0.0464327
stills	0.045899
"Windows @.@"	0.0457541
taping	0.0451757
Anthology	0.0451497
"board game"	0.0443821
demo	0.0442637
"sound recording"	0.0440804
eraser	0.0434597
"radio broadcast"	0.0434481
"historical document"	0.0434406
"memory chip"	0.0430879
printout	0.0428922
"feature film"	0.0427664
microfilm	0.0425079
"data communication"	0.0421056
"television program"	0.0414434
affidavit	0.0413935
diskette	0.0413578
"floor plan"	0.0413437
"medical record"	0.0412526
"musical instrument"	0.041125
dramatization	0.0409167
ream	0.0409087
"news article"	0.0407636
webcams	0.0401236
defibrillator	0.0400285
))
(audit (desc 32232.7) (sims
inspection	0.150319
investigation	0.148925
evaluation	0.139669
review	0.137762
survey	0.137495
auditor	0.134038
examination	0.130441
assessment	0.126554
inquiry	0.123177
probe	0.123158
study	0.122756
analysis	0.121729
autopsy	0.117234
oversight	0.11158
testing	0.108514
appraisal	0.103086
disclosure	0.0988866
filing	0.0963226
overhaul	0.0958469
excavation	0.0952474
memo	0.0945537
"Field Poll"	0.0930365
"police investigation"	0.092005
checkup	0.0914627
research	0.0911141
"financial statement"	0.0904062
reorganization	0.0895091
census	0.0878553
test	0.0875556
"medical examination"	0.0872575
document	0.08703
regulation	0.0868694
verification	0.086468
restructuring	0.0860108
surveillance	0.0858223
enforcement	0.0852149
supervision	0.0840227
monitoring	0.0840151
"enforcement action"	0.0839205
revision	0.0830755
scrutiny	0.0830094
"blood test"	0.0828066
accounting	0.0816094
indictment	0.0812849
prosecution	0.0804992
procedure	0.0804303
"medical exam"	0.0800705
check	0.079114
lawsuit	0.0785187
finding	0.0777596
management	0.0772178
"background check"	0.0770557
memorandum	0.0759796
Exam	0.0759245
maintenance	0.0751572
taxation	0.0750645
guideline	0.0749713
reporting	0.0742764
search	0.0741445
statistic	0.0739727
registration	0.0738078
"tax return"	0.073583
certification	0.0727935
analyses	0.0726838
recommendation	0.0722558
"inspector general"	0.0721268
"medical report"	0.0720417
Privatization	0.0710521
litigation	0.0709136
planning	0.0704966
hearing	0.0702649
operation	0.0698336
takeover	0.0693654
financing	0.0693579
"General Accounting Office"	0.0692199
data	0.0687382
raid	0.0687135
ruling	0.0685075
poll	0.068331
cleanup	0.0678551
documentation	0.0677624
transaction	0.0676724
procurement	0.0675313
budget	0.06654
renovation	0.0663577
approval	0.0660387
closure	0.065912
"training program"	0.0657543
screening	0.0657086
shutdown	0.065685
Implementation	0.065621
directive	0.0656195
article	0.0655876
policy	0.0655228
investigator	0.0652345
draft	0.0650871
merger	0.0650604
bailout	0.0642434
liquidation	0.0641925
consultation	0.0641135
"monitoring program"	0.0640531
summary	0.0640021
projection	0.0638699
application	0.063792
referral	0.0637666
testimony	0.0636547
action	0.0635422
experiment	0.0632832
complaint	0.0632609
biopsy	0.0631712
reform	0.0631677
estimate	0.0628685
enquiry	0.062696
"task force"	0.0626855
questionnaire	0.0625704
scan	0.0625589
proceeding	0.0623531
publication	0.0623198
reshuffle	0.0622995
requirement	0.0622279
upgrade	0.0621456
trial	0.0620446
appropriation	0.0619375
expansion	0.0618174
forfeiture	0.061795
transcript	0.0617172
statement	0.0617075
consolidation	0.0616288
funding	0.0616027
fact-finding	0.06156
sampling	0.0615313
conversion	0.0614178
letter	0.0612991
calculation	0.0612764
seizure	0.0612009
affidavit	0.0609933
interrogation	0.0609159
referendum	0.0608324
"proxy statement"	0.0607643
acquisition	0.0606858
suspension	0.0604925
proposal	0.0604588
Gao	0.0603752
negotiation	0.0602073
reduction	0.0602043
preparation	0.0601908
"progress report"	0.0601506
"head count"	0.0600489
compilation	0.0600046
deployment	0.0599896
announcement	0.0599486
commission	0.0597982
payment	0.0596899
measurement	0.0595474
information	0.0595268
activity	0.0594034
discussion	0.059198
subpoena	0.0590168
exhumation	0.0588629
coordination	0.0588578
critique	0.0588507
petition	0.0588401
elimination	0.0587519
"ethics panel"	0.058652
deliberation	0.0585717
layoff	0.0585145
construction	0.0585086
borrowing	0.0584729
arbitration	0.0582874
rehabilitation	0.0581207
divestiture	0.0579269
renewal	0.0579115
"medical record"	0.0577842
standard	0.057603
removal	0.0575978
Declaration	0.0575766
cutback	0.0574774
reevaluation	0.0572753
criticism	0.0572673
crackdown	0.0572349
hiring	0.0572076
notification	0.0572041
repair	0.0571467
account	0.0571299
legislation	0.0570049
clearance	0.0569942
inventory	0.0569312
exercise	0.0569169
adjustment	0.0566983
allocation	0.0566747
listing	0.0565423
prospectus	0.0565422
deportation	0.0565334
"legal action"	0.0565253
compliance	0.0564395
recruitment	0.0563649
election	0.0563254
cancellation	0.0561931
"report card"	0.0561479
"news report"	0.0560815
))
(audition (desc 13553.5) (sims
tryout	0.101257
rehearsal	0.0961685
recital	0.0805181
screening	0.0781702
"Tony Award"	0.0737734
workout	0.0721374
preview	0.0693774
gig	0.065471
"religious service"	0.0645714
reunion	0.0637621
concert	0.0632673
premiere	0.0586096
checkup	0.058601
wedding	0.0583167
"big game"	0.0580204
"summer camp"	0.0579143
balloting	0.0573417
"dinner party"	0.0569326
lecture	0.0564878
Exam	0.0559815
"open house"	0.0551738
"dress rehearsal"	0.0551486
"final exam"	0.0551171
"All-Star Game"	0.0547468
prom	0.0547302
spacewalk	0.0544797
minicamp	0.0541221
workshop	0.0541003
"prayer meeting"	0.054011
dinner	0.0537873
showcase	0.0537605
"news conference"	0.0533267
"prayer service"	0.052975
weigh-in	0.0528251
NCAAs	0.0526579
"church service"	0.0522412
fund-raiser	0.051759
"board meeting"	0.0517348
Emmy	0.0514009
"medical examination"	0.0512398
funeral	0.0511481
scrimmage	0.0510801
taping	0.0510392
"primary election"	0.0509874
picnic	0.0507625
demo	0.0500232
"press conference"	0.0498116
caucus	0.0497789
"town meeting"	0.0497295
gathering	0.0495482
"Academy Awards"	0.0493829
"wedding ceremony"	0.048498
"rock concert"	0.0481272
"next one"	0.0479085
banquet	0.0479009
"curtain call"	0.047818
"ball game"	0.0475879
reunions	0.0475807
"Academy Award"	0.047513
assignment	0.04734
routine	0.0470351
vigil	0.0469565
examination	0.0467484
nuptials	0.0466236
Oscar	0.0466075
script	0.0464996
"spring training"	0.0464838
"get together"	0.0464361
presentation	0.046407
"three-day event"	0.0463363
mini-camp	0.0462511
electioneering	0.0461936
tuneup	0.0460013
"medical exam"	0.0459975
"basketball game"	0.0459128
"test drive"	0.0456762
festivity	0.045463
honeymoon	0.0446708
stint	0.0446294
"Golden Globe"	0.0442725
"practice session"	0.0442606
get-togethers	0.0441308
"Golden Globes"	0.0440759
outing	0.0440476
gala	0.0440045
physicals	0.0439264
interrogation	0.0438642
"face lift"	0.0438441
"piano lesson"	0.0436382
viewing	0.0436138
voice-overs	0.043497
"coaching job"	0.0434407
encore	0.0434306
matinee	0.0433749
bidding	0.0432631
"home game"	0.0432501
mammogram	0.0431112
"hockey game"	0.0431092
deposition	0.0430756
homecoming	0.0429047
"pop quiz"	0.0426276
"committee meeting"	0.0425754
"court martial"	0.042562
marathon	0.0424618
polling	0.042403
Emmys	0.0421387
seminar	0.0420837
"football season"	0.0420556
luncheon	0.0419641
ballgame	0.0419143
coronation	0.0418921
pilgrimage	0.041826
"swan song"	0.0418019
"great year"	0.0416968
"victory celebration"	0.0416722
"job offer"	0.041611
warm-up	0.0415518
tune-up	0.0413951
"training program"	0.0413672
"road show"	0.0412397
briefing	0.0411627
"TV show"	0.0410605
ballgames	0.0410389
preseason	0.0410158
"World Food Summit"	0.0407995
"fire drill"	0.0407952
"exhibition game"	0.040792
"summit meeting"	0.0407556
rollout	0.040734
showdown	0.0407063
"Ryder Cup"	0.0406872
breakfast	0.0404074
"television show"	0.0403228
"basketball season"	0.0402885
filming	0.040227
warmup	0.0401078
shootaround	0.0400669
"puppet show"	0.040065
evaluation	0.0400484
counseling	0.0400244
))
(auditor (desc 24257.2) (sims
investigator	0.172145
accountant	0.168566
"inspector general"	0.149483
inspector	0.14323
"General Accounting Office"	0.135452
audit	0.134038
regulator	0.125559
prosecutor	0.124514
"accounting firm"	0.120036
appraiser	0.115959
consultant	0.114935
supervisor	0.112463
Comptroller	0.111042
Gao	0.110433
Counsel	0.109662
engineer	0.106881
researcher	0.104938
Attorney	0.104825
"FBI agent"	0.103688
actuary	0.102609
doctor	0.102318
administrator	0.101693
expert	0.101648
technician	0.10157
pathologist	0.101029
officer	0.10083
physician	0.100678
lawyer	0.098769
"social worker"	0.0985401
"ethics panel"	0.0981869
EPA	0.0980598
"federal official"	0.0979627
trustee	0.0965099
scientist	0.0956777
FTC	0.093718
"medical examiner"	0.0934935
planner	0.0934405
specialist	0.0933854
psychologist	0.0930947
commissioner	0.0924827
"computer expert"	0.0922226
auditor-general	0.0921987
veterinarian	0.0919837
"private investigator"	0.0914867
"district attorney"	0.0911756
FAA	0.0909716
detective	0.0909592
"tax collector"	0.0908374
"Justice Department"	0.0907424
judge	0.0895682
psychiatrist	0.089175
biologist	0.0889851
manager	0.0887307
Ombudsman	0.0884495
superintendent	0.0878997
adviser	0.0878395
"legal expert"	0.0877463
commission	0.0875882
"public defender"	0.08739
counselor	0.0872553
FBI	0.0869817
banker	0.086973
"general counsel"	0.0863043
"staff member"	0.0860356
coroner	0.0857801
broker	0.0856792
examiner	0.0855927
agency	0.0854721
"Federal Trade Commission"	0.0854283
"task force"	0.0851076
contractor	0.0846293
executive	0.0844718
staff	0.0843258
observer	0.0841415
reviewer	0.0839131
"investment banker"	0.0835287
employee	0.0831418
agent	0.083027
Magistrate	0.0829928
surveyor	0.082959
nurse	0.0824123
NTSB	0.0818585
treasurer	0.081766
"board member"	0.0815926
staffer	0.0811699
educator	0.0810454
economist	0.0806876
lobbyist	0.0802938
clerk	0.080256
"certified public accountant"	0.0800355
IRS	0.0798956
"National Academy of Sciences"	0.0796903
representative	0.0792836
panel	0.0791305
"Department of Justice"	0.078969
"federal agent"	0.0786387
archeologist	0.0785673
watchdog	0.0785573
monitor	0.0783712
archaeologist	0.0782305
analyst	0.0780486
committee	0.0779497
director	0.0778117
"antitrust regulator"	0.0776218
pollster	0.0774119
FDA	0.0773174
professional	0.0772992
bookkeeper	0.0772203
personnel	0.0768281
"grand jury"	0.0767421
controller	0.076689
"surgeon general"	0.0766059
bureaucrat	0.0763313
geologist	0.0761663
recruiter	0.0759235
arbitrator	0.0758361
Procurator	0.0754714
Programmer	0.0754152
"ethics committee"	0.0749426
Danforth	0.074698
mediator	0.0742497
caseworker	0.074147
"Food and Drug Administration"	0.0737435
"National Transportation Safety Board"	0.0736037
paralegal	0.0734133
statistician	0.073378
legislator	0.0733511
stockbroker	0.0733133
secretary	0.0733076
forecaster	0.0732696
General	0.073242
"financial officer"	0.0731829
therapist	0.0729305
"economic expert"	0.0729033
informant	0.072753
searcher	0.0726105
scholar	0.0724913
department	0.0724846
marshal	0.0722403
worker	0.0720678
underwriter	0.0720485
chief	0.0718803
solicitor	0.0717061
SEC	0.0715955
"chief financial officer"	0.0715952
lawmaker	0.071243
"consulting firm"	0.0712206
"Environmental Protection Agency"	0.0710693
"Securities and Exchange Commission"	0.070941
deputy	0.070936
police	0.0708368
"Department of Health"	0.0707153
CDC	0.070702
"military officer"	0.0705387
"computer programmer"	0.0703494
historian	0.0702309
aide	0.0701626
PricewaterhouseCoopers	0.0700929
"project manager"	0.0699702
firefighters	0.0697969
dispatcher	0.0697807
journalist	0.0696848
mechanic	0.0696352
"probation officer"	0.0696243
"police officer"	0.0695851
lifeguard	0.0691211
board	0.0690667
scout	0.0688708
Sheriff	0.0687301
"investment adviser"	0.0686599
epidemiologist	0.0686309
operative	0.0685354
pediatrician	0.0684161
chemist	0.0683924
archivist	0.0683371
"business executive"	0.068288
architect	0.0680071
"venture capitalist"	0.0679391
principal	0.0678607
assessor	0.0678252
curator	0.0677088
advisor	0.0676595
"Institute of Medicine"	0.0676459
"advisory board"	0.0675169
surgeon	0.0674799
"management consultant"	0.0674291
"solicitor general"	0.0673938
authority	0.0673708
"state's attorney"	0.0672458
"Department of Transportation"	0.0672357
seismologist	0.0669072
dentist	0.0669067
IAEA	0.0666529
pharmacist	0.0666279
jurist	0.0665709
"Census Bureau"	0.0664412
publicist	0.0662197
teacher	0.0659671
diplomat	0.0657861
"Truth Commission"	0.0656903
))
(auditor-general (desc 1454.91) (sims
"Truth Commission"	0.111904
Hynes	0.0949235
auditor	0.0921987
Mackey	0.0897924
"surgeon general"	0.086604
Tuttle	0.0857207
Hevesi	0.0812531
Morgenthau	0.080719
"China Construction Bank"	0.0804017
"State Administration of Foreign Exchange"	0.0778922
attorney-General	0.0760822
"Financial Supervisory Agency"	0.0751748
"U.S. Labor Department"	0.0731757
"U.S. Environmental Protection Agency"	0.0724963
Satcher	0.0710979
Lockyer	0.0705947
"Hong Kong Monetary Authority"	0.0693443
Ruthardt	0.0687139
"Texas Department of Health"	0.0686383
Ombudsman	0.0684926
"inspector general"	0.0671033
"Construction Bank of China"	0.0667083
"Fatos Nano"	0.0664572
NLRB	0.0660865
Ghalib	0.065953
Stossel	0.0652999
"medical examiner"	0.064957
"Bank of Communications"	0.0642615
Smaltz	0.064062
"Federal Bureau of Investigation"	0.0637472
"China Securities Regulatory Commission"	0.0636031
Westendorp	0.063427
"ethics panel"	0.0620632
"National Labor Relations Board"	0.0619113
Registrar	0.0617455
"Human Rights Commission"	0.0608638
"John G. Rowland"	0.0604407
Galvin	0.0603037
"administrative law"	0.0601739
"Consumers Union"	0.0598699
"Industrial and Commercial Bank of China"	0.0596188
"U.N. Development Program"	0.0595145
"Criminal Investigation Department"	0.0593874
"Mary Jo White"	0.0593739
"Department of Labor"	0.0590841
Hayworth	0.0582534
Verniero	0.0582077
EOHR	0.0579291
Garcetti	0.0575558
"Rainbow/PUSH Coalition"	0.0573948
Publicis	0.0572165
"State Administration of Taxation"	0.0571793
CAA	0.0570285
Eizenstat	0.0568902
Ciampi	0.0567905
PricewaterhouseCoopers	0.0565735
"Department of Health and Human Services"	0.0564876
Yazdi	0.0564788
Butterworth	0.0564174
vice-chairperson	0.0563458
Fiddes	0.0562559
Isner	0.0558335
coroner	0.0553079
"General Administration of Customs"	0.055296
"Pipeline Safety"	0.0550545
"Agricultural Bank of China"	0.0549947
Reiter	0.0547724
"US State Department"	0.0545817
ITC	0.0544368
IEC	0.054257
"deputy manager"	0.0539509
"Bill Lockyer"	0.0535758
"State Bank of Pakistan"	0.0535305
FTC	0.0534885
"solicitor general"	0.0532434
Masire	0.05306
"public defender"	0.0528224
"Bank Negara"	0.0526347
EEOC	0.05175
"Transportation Department"	0.0513569
ACLU	0.0513251
chairperson	0.0504245
"Labor Department"	0.0501732
"Arthur Andersen"	0.0499091
"U.S. Immigration and Naturalization Service"	0.0498442
NTSB	0.0495062
DFG	0.0494106
"Baath Party"	0.0492737
vice-chairwoman	0.0491668
"U.N. High Commissioner for Refugees"	0.0490457
BLM	0.0490261
"President of the United States"	0.0489896
"La Bella"	0.0485525
iXL	0.0484009
Barshefsky	0.0482336
"Great Hural"	0.0479547
Media-MOST	0.047902
Danforth	0.0478268
"vice- president"	0.0477809
Mullinax	0.0476413
"All-China Youth Federation"	0.0475775
"Drug Enforcement Administration"	0.0474243
UNFPA	0.047231
"Board of Investment"	0.0471426
Inman	0.0469733
Bizimungu	0.0469698
D.A.	0.046892
Ivey	0.0467094
Hamid	0.0466727
"law firm"	0.0464513
Hammerhead	0.0463582
"antitrust regulator"	0.0463516
IAEA	0.0463274
"Heritage Foundation"	0.0462466
Hallinan	0.0461815
Blix	0.046134
NRC	0.0461202
Sanan	0.0460323
Wada	0.0459467
"Qin Huasun"	0.0458977
"Chen Ziying"	0.0458926
"Consumer Product Safety Commission"	0.0456531
Bi	0.0456188
JMC	0.0456018
"U.S. State Department"	0.0455363
Klestil	0.0454558
"Joao Havelange"	0.0453466
CBI	0.0452606
"welfare worker"	0.0451928
IRC	0.0451432
FSA	0.0448435
"executive branch"	0.0448337
Liberman	0.0447911
Muluzi	0.0447542
"Health and Human Services Department"	0.0447236
"patent office"	0.0446257
KPMG	0.0445295
"General Council"	0.0444247
IEA	0.0443773
"legislative branch"	0.0443606
Ozersky	0.044334
"Department of Defense"	0.0442972
"Anti-Defamation League"	0.0440445
ATF	0.0439665
"Humanitarian Affairs"	0.043951
"Deloitte &AMP; Touche"	0.0439243
"American state"	0.0438918
TDC	0.0438795
"Ministry of Supervision"	0.0438681
"Central Bureau of Investigation"	0.0438433
"Bank for International Settlements"	0.0438292
"Ji Xinpeng"	0.0438153
RCMP	0.043663
Maslyukov	0.0436448
"Ministry of Geology"	0.0435195
"Ernst &AMP; Young"	0.0435028
"Sixty-five percent"	0.0434177
"Edward M. Kennedy"	0.0433625
Klink	0.0433325
"Kenneth W. Starr"	0.0432584
"KPMG Peat Marwick"	0.0429852
CEC	0.042956
"governor general"	0.0428689
"Viswanathan Anand"	0.0427554
Vacco	0.0426339
"Ministry of Interior"	0.0426312
Doggett	0.0425472
Condon	0.0424168
"Russian Interior Ministry"	0.042405
"Eliot Spitzer"	0.0423526
procuratorates	0.0423012
PSC	0.0422529
"British Broadcasting Corporation"	0.0420444
"Saatchi &AMP; Saatchi"	0.0419603
TRC	0.0418838
"Civil Aviation"	0.0418423
"Credit Suisse First Boston"	0.041673
Cleary	0.0416088
"U.S. Agriculture Department"	0.0416077
ILO	0.0415143
poly	0.0413665
Musa	0.0412314
"Prime Ministers"	0.0411181
USAID	0.041099
"Mikhail Kasyanov"	0.0410321
Moakley	0.0410114
Hahn	0.0408808
vice-director	0.040867
Jobe	0.0408155
Skuratov	0.0408124
"United Steelworkers"	0.0406461
"Andrew Cuomo"	0.0406449
Rosenbaum	0.0406371
Ponte	0.0404524
commandant	0.0404029
"De Klerk"	0.0402011
"State Administration for Industry"	0.0401991
fritz	0.040116
SPDC	0.0400642
"Kiichi Miyazawa"	0.0400568
))
(auditorium (desc 25345.4) (sims
gymnasium	0.2022
ballroom	0.172317
hall	0.158678
"conference room"	0.155119
cafeteria	0.14655
gym	0.133035
amphitheater	0.131083
classroom	0.1284
courtroom	0.125917
"concert hall"	0.123492
"dining room"	0.123248
theater	0.120335
chapel	0.119669
room	0.116572
"movie theater"	0.115294
library	0.115121
dormitory	0.114126
courtyard	0.107698
stadium	0.10625
chamber	0.104841
hallway	0.103701
cafe	0.102965
lobby	0.101581
plaza	0.100506
"exhibition hall"	0.0997692
arena	0.0987343
"parking lot"	0.0985133
gallery	0.0984916
Warehouse	0.0981727
lounge	0.0979804
garage	0.0977663
sanctuary	0.0967446
hangar	0.0965736
Cathedral	0.0962294
basement	0.0958471
"office building"	0.0950052
"living room"	0.0931089
building	0.0925863
gymnasiums	0.0924158
"Great Hall"	0.0919903
atrium	0.0911334
"art gallery"	0.0910264
apartment	0.0910013
restaurant	0.0890033
"football stadium"	0.0885422
"community center"	0.0884873
museum	0.0878268
church	0.087442
hotel	0.0874114
square	0.0873056
"gift shop"	0.0871825
"conference center"	0.0862008
studio	0.086136
showroom	0.0850885
"swimming pool"	0.0846119
"reading room"	0.0845418
"sports arena"	0.0843395
"East Room"	0.0836318
"waiting room"	0.0826718
kitchen	0.0826499
"shopping center"	0.0823603
park	0.0817536
courthouse	0.0814548
"opera house"	0.0814187
Grandstand	0.0808762
pub	0.0806881
cubicle	0.0797574
"reception room"	0.079418
tent	0.0787975
"locker room"	0.0787519
dorm	0.0786352
"dance hall"	0.0784407
pavilion	0.0778871
suite	0.0777223
space	0.0774754
"shopping mall"	0.0773686
cabin	0.0763271
bedroom	0.0759611
bar	0.0754789
palace	0.0751253
parlor	0.0744211
foyer	0.0738213
mosque	0.0735962
mall	0.07358
synagogue	0.07318
cinema	0.0731515
shop	0.0729504
garden	0.0727636
"hotel room"	0.0724727
nightclub	0.0718757
"dressing room"	0.0718623
Capitol	0.0718405
loft	0.0718279
venue	0.0714819
"town hall"	0.0713735
"Olympic Stadium"	0.0713453
complex	0.0711404
cemetery	0.0709978
closet	0.0705944
elevator	0.0704343
booth	0.0703166
shelter	0.0696311
"post office"	0.0690401
bookstore	0.0689188
"holding cell"	0.0685737
pew	0.0680579
bathroom	0.0680056
"apartment building"	0.0675703
clubhouse	0.0674293
"game room"	0.0674137
corridor	0.0668518
"city hall"	0.0657133
"movie house"	0.0655366
Dome	0.0652449
playground	0.0652174
"family room"	0.0650665
"dining area"	0.0648127
Tower	0.0647038
barn	0.0642274
arcade	0.0638777
trailer	0.0635504
Villa	0.0633813
campus	0.06329
"recording studio"	0.0631799
saloon	0.0630625
rotunda	0.0629187
"fire station"	0.062708
Basilica	0.0624991
"coffee shop"	0.0624091
"botanical garden"	0.0622938
"residence hall"	0.0621661
facility	0.0619933
"rose garden"	0.0619611
salon	0.0619169
Coliseum	0.0616119
hospital	0.0615056
"drawing room"	0.0614715
residence	0.0613955
pit	0.0613419
"Symphony Hall"	0.0611016
"press box"	0.0610191
mansion	0.0605746
"tennis court"	0.0604742
restroom	0.0601625
den	0.0594799
"dorm room"	0.0594044
barrack	0.0593716
balcony	0.0593086
bleachers	0.0592375
"living quarters"	0.0591735
laboratory	0.0587823
"entertainment center"	0.0586464
locker	0.0586033
"grocery store"	0.0585269
entrance	0.0582653
"Times Square"	0.0582167
greenhouse	0.0581908
terrace	0.0579484
"civic center"	0.0579107
disco	0.0578372
terminal	0.0573386
"office space"	0.0572033
"assembly hall"	0.0571998
"control room"	0.0571936
"music hall"	0.0569923
"back room"	0.0568566
headquarter	0.0568496
motel	0.0568171
Ballpark	0.0565679
condo	0.0565178
planetarium	0.0564087
"bowling alley"	0.0563737
schoolhouse	0.0563264
"graduating class"	0.0562121
cottage	0.0560838
temple	0.0560118
"bomb shelter"	0.0558177
"House of Commons"	0.055525
"Georgia Dome"	0.0552176
clinic	0.0552011
aquarium	0.0551985
tavern	0.0551412
pool	0.054784
firehouse	0.0547437
aisle	0.054656
"department store"	0.0546553
Astrodome	0.0546274
storefront	0.0545711
"elementary school"	0.0543247
alcove	0.0542868
cage	0.0542635
downtown	0.0542376
workshop	0.0540778
floor	0.0538718
hut	0.0538715
inn	0.053493
"display case"	0.0534568
condominium	0.0531418
bungalow	0.0530119
"train station"	0.0528953
))
("Audra McDonald" (desc 2660.02) (sims
"Renee Fleming"	0.111358
"Mandy Patinkin"	0.107049
"Alan Cumming"	0.0988273
"Jennifer Lopez"	0.0939293
"Diana Krall"	0.0932993
"Jessye Norman"	0.0925789
"Nathan Lane"	0.0907499
"Lauryn Hill"	0.0879736
Bartoli	0.0819283
"Celine Dion"	0.0815131
"Sheryl Crow"	0.0814946
"Kirk Franklin"	0.0786672
"Andrea Bocelli"	0.0761762
"Miguel Indurain"	0.0754349
"David Cassidy"	0.0751273
"Britney Spears"	0.0723487
"Geena Davis"	0.0721113
"Kelsey Grammer"	0.0714872
"Trisha Yearwood"	0.0693886
"Judi Dench"	0.069018
"Johnny Cash"	0.0686872
"Gwyneth Paltrow"	0.0686528
"Brigitte Bardot"	0.0681728
"Andre Braugher"	0.0668497
"Janet McTeer"	0.0664686
Cher	0.0662931
"Hidetoshi Nakata"	0.0661484
"Jeff King"	0.0660271
Falco	0.0655266
"Michelle Smith"	0.0651982
"Marc Anthony"	0.0651355
"Michael Caine"	0.064591
"Jessica Lange"	0.0640599
"Garth Brooks"	0.0640158
"Elton John"	0.0639202
"Joseph Fiennes"	0.0638219
"Juan Montoya"	0.0637279
"Arie Luyendyk"	0.0636208
"Erykah Badu"	0.0629869
Paltrow	0.0627319
Tanui	0.0626467
"Barbra Streisand"	0.062225
"Geoffrey Rush"	0.0620043
"Faith Hill"	0.0618429
"Sarah Jessica Parker"	0.0617654
"Carly Simon"	0.0617391
"Bernadette Peters"	0.0616831
"Elvis Costello"	0.0615542
"Bjarne Riis"	0.0615292
"Catherine Deneuve"	0.06119
Billie	0.0608686
Daylami	0.0606391
"Rob Thomas"	0.0605128
"Aretha Franklin"	0.0603409
"Jeremy Irons"	0.0592226
Bjork	0.05908
"Mariah Carey"	0.0589276
"Luciano Pavarotti"	0.0588182
"Winona Ryder"	0.0587888
"Phil Collins"	0.0581815
"Doak Walker"	0.0578074
Bocelli	0.0577168
"Leelee Sobieski"	0.0576215
"Placido Domingo"	0.0573761
"Vanessa Williams"	0.057019
"Peter Gabriel"	0.0568679
"Edie Falco"	0.0567462
"Bette Midler"	0.0564884
"Richard Hatch"	0.0560459
"Whitney Houston"	0.0559184
Sainz	0.0558637
"Tina Turner"	0.0558421
"Michael Andretti"	0.0553288
"Tony Bennett"	0.0553255
D'Angelo	0.0552397
"Wyclef Jean"	0.0551806
Shatner	0.0550229
"Sela Ward"	0.0546972
"Jodie Foster"	0.0546202
"George Michael"	0.0545544
"Lyle Lovett"	0.0545271
"Bonnie Raitt"	0.0544262
"Janet Jackson"	0.054277
"Shania Twain"	0.0542641
"Alanis Morissette"	0.0542498
"Bobby Rahal"	0.0542258
"Jennifer Love Hewitt"	0.0541946
"Nicole Kidman"	0.0541481
"Kevin Spacey"	0.0541079
"James Gandolfini"	0.0538628
Dorsett	0.053779
"David Spade"	0.0536397
"George Jones"	0.0531323
"Janeane Garofalo"	0.0530008
"Norm MacDonald"	0.052683
"Juliette Lewis"	0.052657
"Isolde Kostner"	0.0525945
"Natasha Richardson"	0.0525943
"Dolly Parton"	0.0524885
"Fu Mingxia"	0.0522775
"Cuba Gooding Jr."	0.0521462
"Ji Xinpeng"	0.0518417
"Macy Gray"	0.0517366
"Angelina Jolie"	0.0516047
"Camryn Manheim"	0.0513612
soprano	0.0513278
"Robin Williams"	0.0513263
"Jack Nicholson"	0.0513222
"Elvis Stojko"	0.0513069
Sautin	0.051281
"Drew Carey"	0.0512004
"Christopher Reeve"	0.0511309
Selena	0.0510555
"Michael Bolton"	0.0508504
"Answer Lively"	0.0505551
"Regina Jacobs"	0.0501372
"Eric Clapton"	0.0501196
"Ricky Martin"	0.0500936
Yoakam	0.0499091
"Kathy Bates"	0.0498411
McDonald	0.0497662
"Frances McDormand"	0.0495797
brandy	0.0490687
"Lenny Kravitz"	0.0490497
"Anthony Hopkins"	0.0490126
"Kimberlite Pipe"	0.0489929
"Tom Jones"	0.0489873
"LeAnn Rimes"	0.0489146
"Ed Harris"	0.0488185
Ottey	0.0486133
"Max Biaggi"	0.0484214
"Paul Simon"	0.0484093
"Dwight Yoakam"	0.0483243
"Alex Zuelle"	0.0483061
"Dixie Chicks"	0.0482998
"Julie Andrews"	0.0482831
"Emmylou Harris"	0.0481234
"Chow Yun-Fat"	0.0480173
"War Chant"	0.0479751
"Matthew McConaughey"	0.0477779
"Roberto Benigni"	0.0476678
"Hilary Swank"	0.0473352
Zabel	0.047326
"Jack Lemmon"	0.0471644
"Jeff Burton"	0.047077
"GLORIA ESTEFAN"	0.0470143
"Helen Alfredsson"	0.0469979
"Tom Waits"	0.0468602
Irwin	0.0467594
"David Duchovny"	0.0467274
"Patti Smith"	0.0467272
"Karrie Webb"	0.0466051
"Diana Ross"	0.0466025
"Ben Affleck"	0.0464569
"Elizabeth Hurley"	0.0463318
Valhol	0.046233
"Chris Boardman"	0.0462093
"Willie Nelson"	0.0460698
"High Yield"	0.0460313
"Darrell Waltrip"	0.0459335
"Ray Romano"	0.0459321
"Billie Holiday"	0.0458463
"Susan Sarandon"	0.045741
Ferdinand	0.0456341
"Brenda Blethyn"	0.0454798
"Jo Dee Messina"	0.0454665
"Michael J. Fox"	0.0453694
"Bette Davis"	0.0453359
"James Taylor"	0.0452915
"Nicolas Cage"	0.0452742
"Josephine Baker"	0.0452701
"Michael Douglas"	0.0452267
"Dave Matthews Band"	0.0451637
"Christina Aguilera"	0.0450987
"Meryl Streep"	0.0450852
"Kate Winslet"	0.0450195
"Olin Browne"	0.0449993
Cliburn	0.0449894
"George Strait"	0.0449703
"Gail Devers"	0.0446087
"Foxy Brown"	0.0445435
"Zoran Primorac"	0.0445391
"Vince Gill"	0.0444291
Adonis	0.0443669
"Tito Puente"	0.0443646
"Kim Basinger"	0.0441077
"Nick Faldo"	0.0441038
Artax	0.0440993
"Edward Norton"	0.0440085
"Jackie Chan"	0.0439968
"Ashley Judd"	0.0439811
"Frank Sinatra"	0.0439789
"Nick Price"	0.0439374
"Bobby Brown"	0.0439338
"Melissa Etheridge"	0.0439048
"Loretta Lynn"	0.0438825
"Inge de Bruijn"	0.043644
"Bernhard Langer"	0.0435451
Cleese	0.0434952
"Richard Virenque"	0.0433892
))
(Audrey (desc 2357.26) (sims
Kristin	0.147402
Eileen	0.14063
Irina	0.134787
Leah	0.131032
Paulina	0.129568
Monique	0.128377
Erica	0.123349
"Azizah Ismail"	0.122119
Lori	0.120509
Edith	0.120316
Sonia	0.119668
Julie	0.118052
alicia	0.115522
Alexandra	0.115491
Marian	0.115204
Dorothy	0.114974
Natalie	0.114861
Stephanie	0.113997
Maureen	0.113955
Patricia	0.110298
Cindy	0.110226
Cheryl	0.110023
Rachel	0.109981
Kathleen	0.109331
JoAnne	0.109042
Kimberly	0.108914
Tracey	0.108608
Meg	0.108293
Olga	0.107838
Jacqueline	0.106914
Megan	0.104794
Christine	0.103945
Katie	0.103668
Rebecca	0.103057
Brenda	0.103006
Suzanne	0.102497
Camille	0.102424
Michele	0.102187
Theresa	0.102031
Zoe	0.100512
Debbie	0.100384
Jill	0.100153
Kathy	0.099831
Peggy	0.0998263
Caroline	0.0993521
Evelyn	0.0985474
Lynne	0.0982257
Andrea	0.0981197
Kathryn	0.0978073
Ashley	0.097399
Deborah	0.0958417
Teresa	0.095312
Marta	0.0947918
Pam	0.0945483
Jenny	0.0945458
Lois	0.0940349
Sarah	0.0940153
Polly	0.0936892
Emily	0.0936412
Rhonda	0.0934933
Nancy	0.0933679
Sylvia	0.0932296
Lydia	0.0930791
Karenna	0.0929775
Jennifer	0.0928957
Esther	0.0925524
Jessica	0.0914979
Laura	0.0914692
Carolyn	0.0910936
Cathy	0.091006
Eleanor	0.0909186
Helen	0.090628
Julia	0.0903166
Frances	0.0901446
Karen	0.0901272
Pauline	0.0898672
Samantha	0.0898597
Miriam	0.0897405
Josephine	0.0897222
Marilyn	0.0897019
Susan	0.0895479
Brooke	0.0895243
Doris	0.0894474
Michelle	0.0893245
Sally	0.0891539
Sara	0.0890991
Claudia	0.0883514
Debra	0.0882648
Naomi	0.0882259
Edna	0.0881558
Molly	0.0878009
Nora	0.0877943
Jeanne	0.0877111
Yarmila	0.0877081
Beverly	0.0872573
Olivia	0.0872326
Diane	0.0871769
Barbara	0.0871409
Cherie	0.0869139
Melanie	0.0867955
Nicole	0.0858801
Tina	0.08566
"Karenna Gore Schiff"	0.0856463
Rita	0.0854295
Millie	0.0849423
Janet	0.084773
gloria	0.0846038
Sheryl	0.0845348
Patti	0.0844351
Donna	0.0843228
Elaine	0.0841473
Sophie	0.0840958
Annie	0.083943
Hadassah	0.0838985
Dolores	0.0838245
Terri	0.0833595
Hannah	0.083169
Annette	0.0830514
Juanita	0.0830279
Margaret	0.0826839
Gina	0.0822129
anna	0.082164
Lisa	0.0818091
Maria	0.0816351
Paula	0.0815851
Linda	0.0815199
Jamie	0.0813462
Carol	0.0811753
Phyllis	0.0806282
Danielle	0.08052
"Wang Yeping"	0.080181
Joshua	0.0801147
Dana	0.0800271
JonBenet	0.079969
Janice	0.0798696
Anne	0.0797868
Elena	0.0792876
Vanessa	0.0791635
Sasha	0.07862
Beatrice	0.0784242
Bianca	0.0782897
Lara	0.0780755
Winnie	0.0777914
Vera	0.0777758
Hadley	0.0777561
Rosie	0.0774537
Vivian	0.0773978
Valerie	0.0773688
Roberta	0.0770656
Joyce	0.0769738
Lucille	0.076962
Angela	0.0769599
Catherine	0.0767034
heather	0.0766824
Lucia	0.0766082
Stacy	0.0764902
Ellen	0.0761806
Marie	0.0758535
Melissa	0.0756249
Sandra	0.0753861
Erin	0.0750196
Robin	0.0742355
Nina	0.0739276
becky	0.0737881
Leigh	0.0735208
Marianne	0.0733181
ANN	0.0728095
Jenna	0.072708
Bridget	0.0726484
Betsy	0.0723428
Sheila	0.0718844
Hilary	0.0716951
Veronica	0.0716813
Wanda	0.0711678
Liz	0.0710633
Shirley	0.0704898
Kay	0.0703957
Renee	0.0703926
Martha	0.0700792
Elizabeth	0.0699825
Lynn	0.0699128
Connie	0.0696773
Maya	0.0695727
Katherine	0.0695398
Anita	0.0694769
Louise	0.0689285
Johanna	0.0686981
Panchen	0.0685242
Lauren	0.0682701
Madeline	0.06827
Bonnie	0.0680445
Jessie	0.0680237
Sang	0.0679935
Judith	0.0679219
Emma	0.0678285
Kelly	0.0677037
Nivel	0.0676337
Denise	0.0675877
"Jane Fonda"	0.0675201
"Graca Machel"	0.0673594
))
("Audrey Hepburn" (desc 3936.59) (sims
"Ingrid Bergman"	0.19448
"Ava Gardner"	0.187794
"Gary Cooper"	0.175986
"Cary Grant"	0.172779
"Jimmy Stewart"	0.161275
"Clark Gable"	0.154875
"Humphrey Bogart"	0.149306
"Gregory Peck"	0.148185
"Grace Kelly"	0.146919
"Marlon Brando"	0.145986
"James Cagney"	0.14465
"Katharine Hepburn"	0.144322
"Burt Lancaster"	0.142549
"Kirk Douglas"	0.13296
"Richard Burton"	0.125422
"James Dean"	0.120056
"Spencer Tracy"	0.114519
"John Wayne"	0.112827
"Bette Davis"	0.111904
"James Stewart"	0.107032
"Henry Fonda"	0.106065
"Lana Turner"	0.101511
"Marlene Dietrich"	0.0925598
"W.C. Fields"	0.0904684
"Bing Crosby"	0.0895696
"Lauren Bacall"	0.0879075
"Joan Crawford"	0.0871208
"Lucille Ball"	0.0860241
"Robert DeNiro"	0.0811994
"Catherine Deneuve"	0.0805515
"Brigitte Bardot"	0.0802512
"John Gielgud"	0.0782527
"Mae West"	0.0781823
"Errol Flynn"	0.0778595
"Barbra Streisand"	0.0753834
"Marilyn Monroe"	0.0752537
"Steve McQueen"	0.074448
"Fred Astaire"	0.0710024
"Frank Sinatra"	0.0703015
"Elizabeth Taylor"	0.0702276
"Carol Burnett"	0.0698314
"Laurence Olivier"	0.0662311
"Sidney Poitier"	0.0661777
"Jack Lemmon"	0.0658731
"Meryl Streep"	0.0651832
"Dean Martin"	0.0651662
"Walter Matthau"	0.0650474
"Uma Thurman"	0.0649662
"Jodie Foster"	0.0640167
"Judy Garland"	0.0636073
"Albert Finney"	0.0634202
"Jessica Lange"	0.0632543
"Julia Roberts"	0.0613417
"Rat Pack"	0.0606831
"Bob Hope"	0.0595193
Rockettes	0.058537
GERE	0.0584857
"Dan Aykroyd"	0.0581041
"Julie Andrews"	0.0562987
"Farrah Fawcett"	0.0560731
"William Hurt"	0.0550994
"Robert Downey Jr."	0.054678
stooge	0.0544885
"Andy Kaufman"	0.0541874
"Robert de Niro"	0.0539366
"Shirley MacLaine"	0.053529
"Liza Minnelli"	0.0525037
"Wesley Snipes"	0.052256
"Jack Nicholson"	0.0522308
"Indiana Jones"	0.0518075
superhero	0.0517942
"Albert Brooks"	0.0512521
"Joe Namath"	0.0511387
"Sally Field"	0.0508535
"Charlton Heston"	0.0508419
"Robert Redford"	0.0506726
"Gene Autry"	0.0506487
"Sophia Loren"	0.0505854
"Claire Danes"	0.0504076
"Bruce Willis"	0.0503851
"Sylvester Stallone"	0.0502109
"Vanessa Redgrave"	0.0498639
"Harrison Ford"	0.0498138
"Burt Reynolds"	0.0496407
"Catherine Zeta-Jones"	0.0494467
"Clint Eastwood"	0.0494063
"Leelee Sobieski"	0.0492353
"Kate Winslet"	0.0489727
"Keanu Reeves"	0.0489224
Costner	0.0489011
"George Clooney"	0.0485546
"Annette Bening"	0.0483451
"Martin Lawrence"	0.0481218
"Sharon Stone"	0.0480624
"Leonardo DiCaprio"	0.0480416
"Greta Garbo"	0.0478525
"movie star"	0.047792
"Mother Teresa"	0.0477358
"Paul Newman"	0.0473211
"Demi Moore"	0.0470219
"Eddie Murphy"	0.0467886
"Ray Romano"	0.0466905
"Christopher Reeve"	0.0465215
"Tom Cruise"	0.0464421
"Sherlock Holmes"	0.0464008
"Brooke Shields"	0.0463744
"Nicolas Cage"	0.0461686
"Hannibal Lecter"	0.0459956
"Jacqueline Kennedy Onassis"	0.0458413
"Orson Welles"	0.0457975
"young actress"	0.0457652
"Sean Connery"	0.045599
"Jeff Bridges"	0.0455978
"leading lady"	0.0453928
"Nicole Kidman"	0.0453051
"Woody Allen"	0.0451435
"Charlie Chaplin"	0.0449658
"Spice Girls"	0.0448788
"Dame Judi Dench"	0.0448226
"John Travolta"	0.0447868
Cher	0.0446986
"Gene Hackman"	0.0446728
"Hilary Swank"	0.0446505
"Michael Douglas"	0.0445785
supermodel	0.0443341
"Matthew Broderick"	0.0442439
Selena	0.0441143
"Richard Gere"	0.0440784
FloJo	0.0440176
"Pierce Brosnan"	0.0439673
"Glenn Close"	0.043891
"Goldie Hawn"	0.0438241
"Katarina Witt"	0.0438161
Brando	0.0438109
"Jimmy Smits"	0.0437525
"Dwight D. Eisenhower"	0.0436063
"Gwyneth Paltrow"	0.043274
"Tom Selleck"	0.0431231
gonzo	0.0430539
"Muhammad Ali"	0.0430439
"grim reaper"	0.0428251
"James Bond"	0.0427508
"Ethan Hawke"	0.0423798
"AL PACINO"	0.0423372
"Buster Keaton"	0.0422974
"Jon Voight"	0.0419864
"Nick Nolte"	0.041828
"William Shakespeare"	0.0417732
"Vince Vaughn"	0.0417627
"Alfred Hitchcock"	0.0417269
"Ian Holm"	0.0417229
"Richard Dreyfuss"	0.0417198
"Alicia Silverstone"	0.0417109
Beatles	0.041513
"Jane Fonda"	0.0415026
"Brad Pitt"	0.0411885
hippie	0.0411075
"Halle Berry"	0.04108
"Johnny Carson"	0.0410476
"Hugh Grant"	0.0410132
"Ellen Burstyn"	0.0408744
"Warren Beatty"	0.0408327
Monkees	0.0408288
Sandler	0.0408106
"Jim Carrey"	0.0407924
"HOWARD COSELL"	0.0407468
"Willie Nelson"	0.0407181
"Sigourney Weaver"	0.0405703
"Ian McKellen"	0.0405147
"Harvey Keitel"	0.0404853
showgirl	0.0404619
Superman	0.0404504
"Rob Lowe"	0.040439
Sacagawea	0.0404245
"Renee Fleming"	0.040381
"David Spade"	0.0402874
"Winona Ryder"	0.0401301
starlet	0.0400591
"Taye Diggs"	0.0400137
))
(audubon (desc 1313.02) (sims
health-conscious	0.0970514
Britannica	0.0884142
Seuss	0.0877249
Gorey	0.0843436
"Red Crescent"	0.0753341
Burroughs	0.07404
"U.S. Treasury Department"	0.0720035
DMV	0.0695278
Rodionov	0.0684134
SSB	0.0672487
Regan	0.0665499
DMA	0.0654725
"American Lung Association"	0.06462
ITC	0.0634129
"Sierra Club"	0.0619964
HHS	0.0612305
"Mojave Desert"	0.0612087
Wyeth	0.0610074
"Audubon Society"	0.0598935
SCLC	0.0597817
Remnick	0.0596032
"Der Spiegel"	0.0595614
Rendell	0.0595423
Mirabella	0.0594406
Zuckerman	0.0594228
Adirondack	0.0591391
UGA	0.0590722
"Culture Ministry"	0.0588385
Nanula	0.0588146
"Consumer Reports"	0.0581444
PBSI	0.0576755
ACLU	0.05731
Goethe	0.056956
colorblind	0.0562285
"Public Security Ministry"	0.0561624
"Fast Company"	0.0561049
Grisham	0.0559447
"Good Housekeeping"	0.0554729
"Modern Library"	0.0553938
"Business Week"	0.0553796
Soma	0.0552365
Mayfair	0.0552272
Proust	0.0551624
"Weekly Standard"	0.0548206
Fairchild	0.05481
"Health and Welfare Ministry"	0.0547677
"New Testament"	0.054644
Biggs	0.0544334
Hirsch	0.0541279
Wedgwood	0.0540414
Gielgud	0.0539313
Pushkin	0.0538047
Lennon	0.0538014
Beatle	0.0536405
L'Equipe	0.0535448
"New Republic"	0.0532696
SDPC	0.0532283
Kinkade	0.0531982
Elle	0.0530161
Dooley	0.0529541
"U.S. Defense Department"	0.0529483
"College Board"	0.0525452
Redbook	0.0524845
Bridgestone	0.052417
Gachet	0.0520098
CAA	0.0519437
NHRA	0.0519282
Ohlmeyer	0.0519013
Genzyme	0.0518031
"Baseball America"	0.051761
Nepa	0.0517461
"Home Ministry"	0.0517067
E-Stamp	0.0515216
ECA	0.0514592
Wellstone	0.0513912
Pharmacia	0.0512602
Yeats	0.051104
KONI	0.0509335
kraut	0.0508449
Esquire	0.0506209
"Rolling Stone"	0.0506158
Tintin	0.0505261
"US State Department"	0.0505088
Newsweek	0.0504464
"U.S. Commerce Department"	0.0503258
Gaston	0.0503017
Zagat	0.0500178
mountaineering	0.0499359
"South End"	0.0497538
Rothenberg	0.0495472
Romer	0.0495173
Bech	0.0494277
Greco	0.0493219
SBA	0.048752
Thirty-six	0.0486552
HILFIGER	0.0485944
"Georgia O'Keeffe"	0.0485878
"Time Inc."	0.0485749
"Sporting News"	0.0485117
"Conde Nast"	0.0484843
Solzhenitsyn	0.0484138
Westendorp	0.0484082
NARAL	0.0483899
BOJ	0.0483688
"National Journal"	0.0483257
"TV guide"	0.0480083
CBK	0.0479834
"U.S. Soccer Federation"	0.0478419
"Advertising Age"	0.0478282
Limon	0.0477553
"Stephen King"	0.0475344
Netcom	0.0474428
"Education Department"	0.047416
Wiatt	0.0473941
Marketspan	0.0473662
Collier	0.0472722
"National Geographic"	0.0472564
Smithsonian	0.0471605
Farber	0.0471528
"Public Affairs"	0.0471205
Coe	0.0470352
"U.S. Agriculture Department"	0.0470084
"high time"	0.0469808
"vanity fair"	0.0469597
Bu	0.0469463
DONOVAN	0.046932
FEMA	0.0469183
PSE	0.0467983
"Treasury Department"	0.0467979
Rubinstein	0.0467626
ISTAT	0.0466037
Severino	0.0465075
ama	0.0464719
"Israeli Foreign Ministry"	0.0462549
"Association of Flight Attendants"	0.0460579
"limited edition"	0.0459345
IDG	0.0459089
MSF	0.0459006
"Hollywood Reporter"	0.0458624
SPC	0.045838
Primedia	0.0457965
Greenpeace	0.0457266
Post-Intelligencer	0.0457122
"British Foreign Office"	0.0456915
"American Cancer Society"	0.0456591
Menchu	0.0456534
Lancet	0.0455785
"Transport Ministry"	0.0455526
pressman	0.0455433
noone	0.0455314
Belarusian	0.0454915
Itogi	0.0454754
UNAMET	0.0454089
"Martha Stewart Living"	0.0453664
"Defense Agency"	0.045236
Vermeer	0.0452291
NCI	0.0450265
COUSINS	0.0450103
Spiegel	0.0449283
Passarella	0.0447131
Cezanne	0.0447094
ZIFF-DAVIS	0.0446586
Braille	0.0444444
Parsons	0.0444426
Marinovich	0.0443471
O'Keeffe	0.0441537
browning	0.0441526
woodcut	0.0441058
sf	0.0440803
INEC	0.0440141
watercolor	0.0439891
Solis	0.0439506
Clare	0.0439374
Dickinson	0.043798
"New Economy"	0.0437039
HCFA	0.0436097
Spence	0.0435658
"U.S. Golf Association"	0.0435216
BB	0.0435057
self-help	0.0434452
DiCarlo	0.0434415
IEA	0.0434003
Meredith	0.04336
Sarazen	0.043307
noontime	0.0432308
CPSC	0.0431759
Borges	0.0431619
AOC	0.0431603
Hefner	0.0431523
HKFA	0.0431107
OED	0.0430744
Furniture.com	0.0428826
"smart money"	0.0425915
EOHR	0.0424823
Austen	0.0424319
Berle	0.0423828
"Consumers Union"	0.0423673
"Board of Elections"	0.0422622
hibiscus	0.0421408
Holl	0.0420732
))
("Audubon Society" (desc 956.574) (sims
"National Audubon Society"	0.147582
"Sierra Club"	0.146076
"American Lung Association"	0.143277
"Alcoholics Anonymous"	0.141975
"League of Women Voters"	0.134917
ACLU	0.122769
Greenpeace	0.12273
"National Abortion and Reproductive Rights Action League"	0.120288
"American Civil Liberties Union"	0.119411
"World Jewish Congress"	0.11011
"American Association of Retired Persons"	0.106327
"National Organization"	0.104841
Eappens	0.104703
"Human Rights Campaign"	0.103897
AFL-CIO	0.103817
"Log Cabin Republicans"	0.102533
"Nature Conservancy"	0.101298
"Humane Society"	0.100701
"Urban League"	0.100697
"American Red Cross"	0.100445
"Amnesty International"	0.0988202
NAACP	0.0978669
"Planned Parenthood"	0.0966521
"Better Business Bureau"	0.0964118
"World Wildlife Fund"	0.0958726
"New York Civil Liberties Union"	0.093527
"U.S. Immigration and Naturalization Service"	0.0924469
"National Association"	0.0901675
"Board of Elections"	0.0894379
"National Federation"	0.0894037
"Olympic Council of Asia"	0.0878118
"Common Cause"	0.0869256
"Christian Coalition"	0.0863339
AHP	0.0843208
"Electronic Privacy Information Center"	0.0824638
"Anti-Defamation League"	0.0823477
"NFL Players Association"	0.0821922
Mensa	0.0805936
"Environmental Defense Fund"	0.0784356
Interpol	0.0783886
CCC	0.0780593
"Culture Ministry"	0.0775172
"U.N. World Food Program"	0.0771651
"United Way"	0.0771371
"Air Line Pilots Association"	0.0759747
"Violence Policy Center"	0.075955
SLOC	0.0754197
Chinese-Indonesians	0.0749394
"European Bank for Reconstruction"	0.0747411
"Chase Manhattan Bank"	0.0746526
"National Education Association"	0.07449
NPA	0.0743429
"Carter Center"	0.074291
"Agency for International Development"	0.074243
"Salt Lake Organizing Committee"	0.0740472
Caritas	0.0731174
Ershad	0.0729879
"League of Conservation Voters"	0.0729531
"child welfare agency"	0.0727726
"Communications Workers of America"	0.0720352
"World Church"	0.0719824
Klan	0.0719511
AARP	0.0716663
"Defense Agency"	0.0716659
Elhage	0.071623
"International Red Cross"	0.0709913
"Nuclear Regulatory Commission"	0.0708496
"Transparency International"	0.0707461
"Russian Space Agency"	0.0706096
"Recording Industry Association of America"	0.0705914
"American Jewish Committee"	0.070576
MSF	0.0703684
"Association of Flight Attendants"	0.0701645
Nepa	0.0698965
"U.S. Soccer Federation"	0.0697977
"Department of Corrections"	0.0697089
"National Republican Congressional Committee"	0.0692534
GEC	0.0689273
"Russian Orthodox Church"	0.0685916
"Philip Morris Cos."	0.0683669
"Human Rights Commission"	0.0682198
"Housing Authority"	0.0681137
"Federal Highway Administration"	0.0678567
CWA	0.0676668
"Congressional Black Caucus"	0.0676183
"Hearst Corporation"	0.0676128
"National Academy of Sciences"	0.0675051
"U.S. Olympic Committee"	0.0674935
"Wine Institute"	0.0672268
"U.S. Chamber of Commerce"	0.0671815
"National Urban League"	0.0669314
"Democratic Congressional Campaign Committee"	0.0668076
Conley	0.0667839
"American Cancer Society"	0.0664861
"Rainbow/PUSH Coalition"	0.0664857
All-Tech	0.0662691
"American Heart Association"	0.066144
CMA	0.0660347
EEOC	0.0659907
"U.S. Forest Service"	0.0659572
sorority	0.0659209
"Macao Government"	0.0657715
AEC	0.065658
"Georgia Power"	0.0652952
DEP	0.0652529
government-in-exile	0.0652284
"Republican National Committee"	0.0650803
"National Alliance"	0.0648306
"National Election Committee"	0.0645566
"Freedom Forum"	0.0642503
"Local @@"	0.0641961
ADL	0.0639744
"Ministry of International Trade and Industry"	0.0638596
"General Services Administration"	0.0638071
"Weight Watchers"	0.0635497
UAW	0.0635162
"State Forestry Administration"	0.0634864
KKK	0.0634118
"American Psychological Association"	0.0631481
"Consumer Federation"	0.0631463
Protas	0.0630959
"civil defense"	0.0630193
"Department of Public Safety"	0.0630028
"diplomatic corps"	0.0629798
"Federal Emergency Management Agency"	0.0629394
"right to life"	0.0627483
TVKO	0.0627175
SCLC	0.0626436
"Nigerian National Petroleum Corporation"	0.062611
"United Auto Workers"	0.0625585
NSC	0.0624593
"Ku Klux Klan"	0.0623951
"Aryan Nations"	0.0623649
"Catholic Charities"	0.0623468
guild	0.0622807
"Atlanta Committee"	0.0622591
"George E. Pataki"	0.0621094
teamster	0.0618883
Salomon	0.0618716
"Black Panthers"	0.0615955
Salemme	0.0614189
"Nahdlatul Ulama"	0.0611616
Gestapo	0.0610522
"Civil Aviation Authority"	0.061047
"National Aeronautics and Space Administration"	0.060981
"Israeli Foreign Ministry"	0.0609768
"Consumers Union"	0.0609349
"R.J Reynolds"	0.0609097
"IG Metall"	0.0608179
"Forest Service"	0.0608083
SDMI	0.0605757
PICC	0.060567
PBOC	0.0605281
"CBS Sports"	0.0604957
"Iraqi National Congress"	0.0604493
PTA	0.0603766
"Blue Cross"	0.0603574
"First Union Corp."	0.0602133
"Fallon McElligott"	0.0601136
VFW	0.0600644
"Hong Kong Trade Development Council"	0.0600037
"Service Employees International Union"	0.0598987
audubon	0.0598935
Zarkin	0.059869
UNAIDS	0.0597791
"Orthodox Church"	0.0596554
"Justice Ministry"	0.0595903
"Salvation Army"	0.0595689
Whitacre	0.0595067
"Russell Peeler"	0.0595062
"William Morris"	0.0591015
"World Food Program"	0.0586669
NARAL	0.0584972
"Health Department"	0.0584311
"National Association of Broadcasters"	0.0583692
"Health and Welfare Ministry"	0.0583575
"Serbian Orthodox Church"	0.0582197
"Human Rights Watch"	0.0580769
CIRC	0.058005
FSA	0.0579081
Kenna	0.0578588
"Hughes Electronics Corp."	0.0578385
"Education Ministry"	0.0577785
"Israeli Army"	0.0577635
USOC	0.0576471
"Islamic Movement"	0.0576329
UPU	0.0575592
"Union of Concerned Scientists"	0.0574645
"New Jersey State Police"	0.0573515
Aeroflot	0.0573478
"United Nations High Commission for Refugees"	0.0572191
NKP	0.057199
"Democratic Unionist Party"	0.0570552
globetrotter	0.0570551
Smithsonian	0.0570512
"Park Service"	0.0570358
"Popular Party"	0.0568999
PBA	0.0568346
"Muslim Brotherhood"	0.056832
cattlemen	0.0568236
))
(Auerbach (desc 1959.59) (sims
Finkel	0.139512
Nickerson	0.120627
Rubenstein	0.115007
Sobel	0.113242
Vogel	0.110287
Talebi	0.108976
Wenger	0.108098
Zuckerman	0.105223
Ruggiero	0.104972
Mahoney	0.104935
Gullikson	0.100887
Felton	0.100835
Passarella	0.0988536
Darnell	0.0977256
Weil	0.0953875
Grossman	0.0947896
DiCicco	0.0942206
Hybl	0.0940758
Fleischer	0.0928613
Bergeron	0.0915388
Hawke	0.0913008
Hanley	0.0903837
Rosenthal	0.0902178
Zwick	0.0899044
Weisman	0.0896717
Kelleher	0.0891743
Solich	0.0877838
Krugman	0.0875571
Winkler	0.086754
Heinrichs	0.0859729
Tomey	0.0858483
Ainge	0.0854188
ISSEL	0.0854029
Bloch	0.0847719
Gaston	0.0842318
Rudenstine	0.0840518
Krzyzewski	0.0839566
Ulrich	0.0835215
Bustamante	0.083412
Moser	0.0831973
Groening	0.0831785
Ruehe	0.08316
Naumann	0.0829578
Bassett	0.0829502
Solis	0.0827911
Cowan	0.0824286
Sheehan	0.082012
Larson	0.0819961
Ono	0.0818835
Edelstein	0.0817428
Simons	0.0815418
Hirst	0.0813165
Baugh	0.0811893
Nadler	0.0811754
Holmes	0.081013
Schmitt	0.0808671
Valenti	0.0806634
McCurry	0.0804
Guthridge	0.0801568
Sapp	0.0799487
Polian	0.0798404
Jaffe	0.0795413
Bogle	0.0795225
Dickinson	0.0793089
Demaci	0.0792684
Lessig	0.0789116
Chappell	0.0788845
Ratner	0.0785875
McLaughlin	0.0785849
Henley	0.0785567
Sheng	0.0785384
Kaye	0.0784086
Dungy	0.078346
Siegel	0.0782445
Waxman	0.0781514
Henson	0.0779551
"administration official"	0.0779046
Piot	0.0778909
Duffy	0.077499
Zucker	0.0770428
McGregor	0.0769576
Dion	0.0766982
Cleese	0.0764632
Wolfson	0.0763317
McNamara	0.0762761
Olson	0.0761609
Leigh	0.0760985
Gorman	0.0760531
Papandreou	0.0758957
Meissner	0.0758847
Grasso	0.0757307
O'Malley	0.0754529
Halberstam	0.0754259
Menard	0.0752851
Osborne	0.0752842
Atwood	0.0751885
Crocker	0.0749527
Lerner	0.0748829
Patel	0.0748788
Hendricks	0.0747926
Poole	0.074762
Parrott	0.0747348
McGuire	0.0744349
Brandt	0.0742772
Butterworth	0.0742763
Guralnick	0.0742514
Rodgers	0.0740872
Behr	0.0740077
Shapiro	0.0738696
Calhoun	0.073813
Biggs	0.0736805
DERSHOWITZ	0.0732008
Auriemma	0.0730551
Skiles	0.0726665
Pryor	0.0726554
Menino	0.0726134
Atwater	0.0725819
Donahue	0.0725066
Blume	0.0723713
Gibbons	0.0723237
Zeng	0.0720439
Hahn	0.0719496
McKenna	0.0719242
Hoffman	0.071921
Babcock	0.0718025
Clements	0.0717542
Halloran	0.0716956
Tomlin	0.0716329
Morse	0.0716239
Lamont	0.0715903
O'Connell	0.0715827
Billick	0.071574
Romar	0.0715598
Orr	0.0715424
Beilin	0.0714598
Hargrove	0.0712018
Samuelson	0.0711959
Verney	0.0710412
Lewises	0.0709806
Berman	0.0709607
Bochy	0.0709018
Coen	0.0708503
Whitsitt	0.0706251
Mandella	0.070562
Copeland	0.0704768
Lowry	0.070429
McIntyre	0.0703598
Cui	0.070359
Cusack	0.0701502
O'Neil	0.0699827
Pitney	0.0698949
Stillman	0.0698498
Pitino	0.0698201
McAllister	0.0697539
Barron	0.0697266
LaPierre	0.0697154
Paxson	0.0696067
Levinson	0.0695253
Marineau	0.0695035
Muckler	0.0694715
Sato	0.0693498
Chadwick	0.0692907
Weinberg	0.0691868
Mullen	0.0691374
Lamberth	0.0689859
Reiner	0.0689261
Silverstein	0.0689091
Jacobsen	0.0688821
McAuliffe	0.0687398
Goldin	0.0687076
Roski	0.0685384
Prewitt	0.0681357
Insulza	0.0680011
Schuerholz	0.067994
Fulmer	0.0678881
Greenwald	0.0676656
Sherrill	0.0676236
LeBlanc	0.0675609
Ganassi	0.0675188
Strauss-Kahn	0.0670995
Jamison	0.0669671
Reinsdorf	0.0668575
Sheehy	0.0668168
Keenan	0.0667991
Vaughan	0.0667586
Daschle	0.0667429
Troussier	0.0667421
Braun	0.066687
Wilhelm	0.0665547
Cahill	0.066473
Cashman	0.0664699
Crenshaw	0.0664628
Hanna	0.066444
Mustafa	0.0663777
Doris	0.0663719
McLane	0.0663546
Vance	0.0663256
Hamlin	0.0661499
Erwin	0.0661177
Arum	0.0660906
))
(AUG (desc 2529.72) (sims
Oct	0.342829
NOV	0.26166
Sept	0.166363
"Aug @@, @@@@"	0.15535
"Jan @@, @@@@"	0.148744
"Nov @@, @@@@"	0.140328
"Sept @@, @@@@"	0.138794
"Dec @, @@@@"	0.129774
"OCT @@, @@@@"	0.129501
"Sept @, @@@@"	0.129243
"Feb @, @@@@"	0.128171
"Oct @, @@@@"	0.127476
"July @@, @@@@"	0.121803
"Nov @, @@@@"	0.119305
"March @@, @@@@"	0.11776
"April @, @@@@"	0.116534
"June @@, @@@@"	0.116097
"Aug @, @@@@"	0.114436
"May @@, @@@@"	0.108927
"May @, @@@@"	0.107897
"March @, @@@@"	0.105903
"Dec @@, @@@@"	0.100981
"June @, @@@@"	0.100593
"April @@, @@@@"	0.0967716
"Feb @@, @@@@"	0.0963154
Jan	0.0945945
"July @, @@@@"	0.0724773
"Jan @, @@@@"	0.0692591
"Favorite Trick"	0.057794
"Aug. @@"	0.0499992
"Sept. @@"	0.0476524
M@@	0.045834
))
("Aug @" (desc 26607.3) (sims
"Aug @@"	0.312094
"Aug. @."	0.280711
"July @@"	0.263669
"Feb @@"	0.255229
"Oct @@"	0.250689
"May @@"	0.239145
"June @@"	0.238475
"Sept @@"	0.236428
"April @@"	0.235649
"Nov @@"	0.233146
"Sept @"	0.231612
"Dec @@"	0.225635
"June @"	0.221801
"Jan @@"	0.221164
"July @"	0.221083
"May @"	0.212065
"Oct @"	0.202534
"April @"	0.20159
"Feb @"	0.20043
"August @"	0.195849
"Dec @"	0.195001
"March @@"	0.19359
"Nov @"	0.184414
"Jan @"	0.177981
"March @"	0.17316
"June @."	0.169547
"July @."	0.162671
"Sept. @."	0.158415
"July @@, @@@@"	0.158164
"May @."	0.155469
"June @@, @@@@"	0.152994
"Dec. @."	0.151718
"September @@"	0.150981
"April @@, @@@@"	0.150669
"Feb. @."	0.150261
"August @@"	0.146816
"November @@"	0.141348
"October @@"	0.141102
"Aug @@, @@@@"	0.139343
"Sept @@, @@@@"	0.139189
"Aug @, @@@@"	0.138393
"December @@"	0.138138
"May @@, @@@@"	0.137203
"March @@, @@@@"	0.137187
"April @."	0.135752
"May @, @@@@"	0.135679
"Dec @@, @@@@"	0.134973
"August @."	0.13478
"Nov. @."	0.130101
"Nov @@, @@@@"	0.129611
"January @@"	0.129595
"Oct. @."	0.128847
"Jan @@, @@@@"	0.128494
Tuesday	0.12848
"March @."	0.128035
"Oct @, @@@@"	0.125447
"Jan @, @@@@"	0.124337
Friday	0.123754
Wednesday	0.123571
Thursday	0.123384
Sunday	0.123156
Monday	0.122595
"Jan. @."	0.122563
Saturday	0.122408
"Dec @, @@@@"	0.121623
"October @"	0.121006
"Feb @@, @@@@"	0.116415
"February @@"	0.113615
"OCT @@, @@@@"	0.113315
"Sept @, @@@@"	0.112919
"June @, @@@@"	0.112334
"April @, @@@@"	0.110811
"March @, @@@@"	0.10862
"January @@, @@@@"	0.108221
"July @, @@@@"	0.105117
"September @"	0.10383
"Nov @, @@@@"	0.0991253
"December @"	0.097976
"August @, @@@@"	0.0956773
"Feb @, @@@@"	0.0948724
"November @@, @@@@"	0.0914021
"October @@, @@@@"	0.0912272
"December @."	0.0906923
"February @"	0.0903271
"January @"	0.0897134
"November @"	0.0884639
"December @@, @@@@"	0.0863852
morning	0.0856338
night	0.0845866
"January @, @@@@"	0.0845571
"September @."	0.0793105
"September @@, @@@@"	0.0789502
August	0.0781394
"Sept @@-@@"	0.0775307
"October @."	0.076367
"Aug @@-@@"	0.07464
tomorrow	0.074475
December	0.0736291
"January @."	0.0730917
"September @@@@"	0.0726029
"August @@, @@@@"	0.0725565
"November @."	0.0725537
"Christmas Day"	0.0720652
"February @."	0.0719588
"February @@, @@@@"	0.0718506
"June @@-@@"	0.0713274
afternoon	0.0709333
"August @@@@"	0.070715
Evening	0.0704795
"January @@@@"	0.0698062
"New Year's Day"	0.0693392
"April @@-@@"	0.0682873
October	0.0681383
June	0.0674986
"nine months ago"	0.0671532
today	0.066794
"seven months ago"	0.0665855
"Oct @@-@@"	0.0664968
November	0.0654982
July	0.0654326
"March @@@@"	0.0652149
may	0.0651779
"July @@@@"	0.0635731
January	0.0633751
April	0.0628114
"July @@-@@"	0.0623813
September	0.0621504
"New Year's eve"	0.0618523
February	0.0616527
"November @, @@@@"	0.0614826
"two months ago"	0.0613832
"June @@@@"	0.0602629
"February @, @@@@"	0.0600282
"six years ago"	0.0597977
"two weeks ago"	0.0596817
"November @@@@"	0.0596285
"February @@@@"	0.0594505
"April @@@@"	0.0591069
"four years ago"	0.0582607
"three months ago"	0.0579002
"December @@@@"	0.0563259
"nearly @@ years ago"	0.0559513
"October @, @@@@"	0.0553824
"three weeks ago"	0.055305
"three years ago"	0.0549476
"seven years ago"	0.0547763
"May @@@@"	0.0546246
"eight years ago"	0.0543413
"October @@@@"	0.0534697
"one year ago"	0.0531362
"nine years ago"	0.0529159
"two days ago"	0.052238
mid-December	0.051705
tonight	0.0514489
"December @, @@@@"	0.0514263
mid-October	0.0510234
"more than @@ years ago"	0.0509309
"March @@-@@"	0.0505808
"two years ago"	0.0497529
"Christmas Eve"	0.0495162
"May @@-@@"	0.0492627
nights	0.0478931
yesterday	0.0475335
weekends	0.0473112
"six months ago"	0.04697
mid-September	0.0454512
"five years ago"	0.0452401
"September @, @@@@"	0.0451578
"months ago"	0.0450222
"November @@-@@"	0.0441087
"four months ago"	0.044095
"years ago"	0.043475
"month ago"	0.0432747
Christmas	0.0426702
"December @@-@@"	0.0423201
noon	0.0413617
"a few weeks ago"	0.0406615
"October @@-@@"	0.0402958
Thanksgiving	0.0400733
))
("Aug @, @@@@" (desc 10429) (sims
"Aug @@, @@@@"	0.286499
"Nov @@, @@@@"	0.268255
"July @@, @@@@"	0.267283
"OCT @@, @@@@"	0.263482
"Jan @@, @@@@"	0.261728
"Feb @@, @@@@"	0.260549
"Sept @@, @@@@"	0.26012
"Oct @, @@@@"	0.237019
"April @, @@@@"	0.233999
"May @@, @@@@"	0.232462
"Feb @, @@@@"	0.224596
"March @, @@@@"	0.223241
"Dec @, @@@@"	0.221863
"April @@, @@@@"	0.221405
"June @, @@@@"	0.221235
"March @@, @@@@"	0.22057
"Dec @@, @@@@"	0.220386
"Sept @, @@@@"	0.218367
"May @, @@@@"	0.21775
"June @@, @@@@"	0.213942
"Nov @, @@@@"	0.207417
"August @, @@@@"	0.175559
"July @, @@@@"	0.167222
"Jan @, @@@@"	0.163333
"Aug @"	0.138393
Oct	0.133075
"Aug @@"	0.130902
"Jan @@"	0.12962
"Dec @"	0.122246
"August @"	0.121481
"August @@, @@@@"	0.118835
AUG	0.114436
"July @@"	0.112429
"June @@"	0.110837
"Feb @@"	0.110595
"Dec @@"	0.108863
"May @@"	0.108582
"Nov @@"	0.108331
"January @@, @@@@"	0.107723
"Feb @"	0.107331
"April @@"	0.106579
"Sept @"	0.104737
"May @"	0.104467
"March @@"	0.103068
"October @@, @@@@"	0.101877
"September @@, @@@@"	0.101399
"November @, @@@@"	0.101113
"February @@"	0.098853
"April @"	0.0987939
"July @."	0.0984055
"February @@, @@@@"	0.0983097
"Oct @@"	0.0956482
"June @"	0.0951716
"Sept @@"	0.0949474
"Jan @"	0.0947664
"Feb. @."	0.0941154
"August @@"	0.0940204
"Oct @"	0.0938104
"July @"	0.0934431
"September @, @@@@"	0.0933431
"September @"	0.0930676
"Jan. @."	0.0929171
"August @."	0.0927424
"November @@, @@@@"	0.0919739
"December @, @@@@"	0.0918395
"Sept. @."	0.0893852
"April @."	0.088685
"January @"	0.0870972
"December @@, @@@@"	0.0870334
"June @."	0.0865357
"December @@"	0.0856549
"September @@"	0.085462
"March @"	0.0851104
"Nov @"	0.084124
"Aug. @."	0.0837892
"January @@"	0.0837478
"January @, @@@@"	0.0800854
"Oct. @."	0.0800747
"October @@"	0.0761406
"November @"	0.0759573
"February @"	0.0749271
"March @."	0.0741257
"October @"	0.0738178
"May @."	0.0730482
"Dec. @."	0.0721866
"November @@"	0.0695822
"January @."	0.0674104
"December @"	0.0670065
"October @, @@@@"	0.066267
"New Year's Day"	0.0639659
"New Year's eve"	0.063839
"February @, @@@@"	0.0616426
"Christmas Day"	0.0614348
"Nov. @."	0.0599098
"September @."	0.0590048
"Christmas Eve"	0.0579103
"more than three years ago"	0.0515913
"February @."	0.0477882
"Five months ago"	0.0473186
"Sunday, Aug @@"	0.0445743
"nearly @@ years ago"	0.044451
"seven years ago"	0.0433289
"Dec @@-@@"	0.0413466
"almost @@ years ago"	0.0412077
))
("Aug @@" (desc 53126.8) (sims
"Sept @@"	0.31523
"Aug @"	0.312094
"July @@"	0.300502
"Nov @@"	0.297541
"Oct @@"	0.29544
"April @@"	0.285438
"June @@"	0.282503
"Jan @@"	0.277184
"Feb @@"	0.274493
"May @@"	0.273319
"Sept @"	0.272855
"Dec @@"	0.268124
"March @@"	0.243914
"July @"	0.237449
"Oct @"	0.235743
"Nov @"	0.233378
"June @"	0.229968
"Feb @"	0.2258
"Sept. @."	0.222161
"Dec @"	0.221785
"August @@"	0.217634
"April @"	0.216538
"May @"	0.204766
"July @."	0.198083
"March @"	0.196726
"Jan @"	0.194246
"June @."	0.188079
"May @."	0.182294
"Aug. @."	0.181444
"Oct. @."	0.17903
"Nov. @."	0.177071
"Dec. @."	0.175953
"April @."	0.172449
"September @@"	0.171152
Sunday	0.168331
Friday	0.166686
"July @@, @@@@"	0.165984
Monday	0.165979
"Feb. @."	0.164976
Wednesday	0.162276
"Jan. @."	0.161659
Saturday	0.160319
Tuesday	0.158436
"Sept @@, @@@@"	0.158294
"January @@"	0.157879
"March @."	0.157265
Thursday	0.156696
"November @@"	0.156331
"Aug @@, @@@@"	0.152574
"April @@, @@@@"	0.15119
"December @@"	0.146638
"June @@, @@@@"	0.146259
"Dec @@, @@@@"	0.142824
"October @@"	0.141999
"March @@, @@@@"	0.141278
"Jan @@, @@@@"	0.141122
"May @@, @@@@"	0.139113
"May @, @@@@"	0.139046
"August @"	0.138373
"October @"	0.135722
"Aug @, @@@@"	0.130902
"Nov @@, @@@@"	0.130626
"Oct @, @@@@"	0.128387
"February @@"	0.128182
"OCT @@, @@@@"	0.126468
"September @"	0.119314
"Dec @, @@@@"	0.117202
"Feb @@, @@@@"	0.117048
"April @, @@@@"	0.116109
"Jan @, @@@@"	0.115354
"Sept @, @@@@"	0.115048
"December @"	0.113378
"August @."	0.113092
night	0.112634
"January @@, @@@@"	0.112363
"August @@, @@@@"	0.111519
"June @, @@@@"	0.110299
"January @"	0.10705
"February @"	0.106867
"Nov @, @@@@"	0.1054
"November @"	0.103479
"March @, @@@@"	0.10164
"July @, @@@@"	0.100928
morning	0.100678
"Feb @, @@@@"	0.0998328
"January @, @@@@"	0.0975028
"February @."	0.096945
"September @."	0.0961413
"Sept @@-@@"	0.0952183
October	0.095141
"April @@-@@"	0.0934605
"December @."	0.093351
afternoon	0.0923922
tomorrow	0.090617
"Aug @@-@@"	0.0904432
"June @@-@@"	0.0898268
"October @@, @@@@"	0.0888853
"December @@, @@@@"	0.0884336
August	0.0877086
December	0.0875094
June	0.086935
July	0.0869013
September	0.0865306
Evening	0.0864517
"November @@, @@@@"	0.0858549
"July @@-@@"	0.0846624
"Oct @@-@@"	0.084461
"two weeks ago"	0.083664
"New Year's Day"	0.0831409
"September @@, @@@@"	0.0814179
April	0.0813447
"October @."	0.0812681
"November @."	0.0806632
may	0.0797512
November	0.0794527
"August @@-@@"	0.0786176
February	0.0782494
"January @."	0.0778593
today	0.0777601
January	0.0767468
"March @@@@"	0.0765388
"September @@-@@"	0.0747067
"March @@-@@"	0.0742442
"September @@@@"	0.072424
"November @, @@@@"	0.0717906
"January @@@@"	0.0717709
weekend	0.0713693
"August @, @@@@"	0.0710453
"Christmas Day"	0.0707753
"April @@@@"	0.0706005
"February @@, @@@@"	0.0704695
"July @@@@"	0.069914
"October @@@@"	0.0698392
tonight	0.068789
"November @@@@"	0.0685527
"January @@-@@"	0.0678646
"June @@@@"	0.0678245
"two years ago"	0.0670966
"May @@@@"	0.0668633
"three weeks ago"	0.066752
"New Year's eve"	0.0664581
"December @@@@"	0.066178
"May @@-@@"	0.0659631
summer	0.0657329
Spring	0.065408
March	0.0650582
"August @@@@"	0.0632473
yesterday	0.0632397
"three years ago"	0.0628664
"two months ago"	0.0619579
"Christmas Eve"	0.0616531
"February @@@@"	0.0614602
"Labor Day"	0.061115
"last week"	0.0598654
"four years ago"	0.0593345
"October @@-@@"	0.0582698
"three months ago"	0.0582074
"two days ago"	0.0558173
"November @@-@@"	0.0554971
nights	0.0545775
mid-November	0.0543341
"December @, @@@@"	0.0537724
here	0.0533612
mid-October	0.0533547
noon	0.0526602
Thanksgiving	0.0523208
"six years ago"	0.0515525
Christmas	0.0505673
eve	0.0497063
"from @@@@ to @@@@"	0.048897
weekends	0.0475678
"years ago"	0.0472171
"week ago"	0.0449809
"first day"	0.0449525
"month ago"	0.0447407
four-hour	0.0446437
"year end"	0.0445876
midnight	0.0440158
"Thanksgiving Day"	0.0440074
"one day"	0.043322
occasion	0.0432993
"five years ago"	0.0432396
Saturdays	0.0430543
birthday	0.0428355
"Memorial Day"	0.0422173
mid-@@@@	0.0401927
))
("Aug @@, @@@@" (desc 16872.2) (sims
"Sept @@, @@@@"	0.369105
"Nov @@, @@@@"	0.341029
"OCT @@, @@@@"	0.3387
"July @@, @@@@"	0.324414
"Sept @, @@@@"	0.321315
"Feb @@, @@@@"	0.299813
"June @@, @@@@"	0.29341
"Jan @@, @@@@"	0.292517
"May @@, @@@@"	0.290857
"Oct @, @@@@"	0.290678
"Aug @, @@@@"	0.286499
"Dec @@, @@@@"	0.284594
"Feb @, @@@@"	0.273001
"April @@, @@@@"	0.265128
"Dec @, @@@@"	0.263624
"May @, @@@@"	0.261689
"March @, @@@@"	0.254248
"March @@, @@@@"	0.252864
"April @, @@@@"	0.250985
"June @, @@@@"	0.248009
"Nov @, @@@@"	0.237805
"July @, @@@@"	0.210932
"August @@, @@@@"	0.174809
Oct	0.16217
"Jan @, @@@@"	0.162156
AUG	0.15535
"Aug @@"	0.152574
"Aug @"	0.139343
"July @@"	0.133869
"April @@"	0.127501
"May @@"	0.123134
"October @@, @@@@"	0.122763
"June @@"	0.122722
"April @"	0.119048
"May @"	0.116269
"Sept @@"	0.116237
"June @."	0.11585
"Feb @@"	0.114353
"Nov @@"	0.11348
"August @@"	0.110362
"Oct @@"	0.109767
"Jan @@"	0.108997
"Feb @"	0.108298
"June @"	0.10775
"March @@"	0.105805
"Sept @"	0.105632
"Dec @@"	0.105073
"November @, @@@@"	0.102887
"Feb. @."	0.1026
"July @."	0.102579
"May @."	0.102143
"January @@, @@@@"	0.100738
"April @."	0.0999871
"July @"	0.0995359
"November @@, @@@@"	0.0990881
"Dec @"	0.098053
"September @@, @@@@"	0.0963405
"Aug. @."	0.0959947
"December @@"	0.0913654
"February @@, @@@@"	0.0911817
"Oct @"	0.0907388
"January @"	0.0863567
"January @@"	0.0853264
"Christmas Day"	0.0852561
"Sept. @."	0.0831076
"December @, @@@@"	0.0814328
"October @@"	0.0806788
"Jan. @."	0.079578
"August @, @@@@"	0.0776858
"March @."	0.0775113
"March @"	0.0764957
"Dec. @."	0.0749489
"August @"	0.0744696
"September @"	0.0730603
"Nov @"	0.0728612
"December @@, @@@@"	0.0719209
"February @@"	0.071862
"November @@"	0.0718188
"Jan @"	0.0713341
"October @"	0.0709395
"February @, @@@@"	0.0698338
"September @@"	0.0696281
"February @."	0.0674185
"New Year's Day"	0.0670184
"November @"	0.0631987
"October @, @@@@"	0.0631281
"Nov. @."	0.0594232
"February @"	0.059315
"September @, @@@@"	0.0586392
"January @, @@@@"	0.0578233
"Oct. @."	0.0574531
"December @"	0.0563031
Jan	0.0545151
"September @."	0.0522404
"August @."	0.0500714
"January @."	0.0495405
"June @@-@@"	0.049248
"almost @@ years ago"	0.0474111
"April @@-@@"	0.0462583
"Christmas Eve"	0.0435301
"nine years ago"	0.043243
"December @."	0.0423585
"October @."	0.040805
))
("Aug @@-@@" (desc 3724.61) (sims
"Oct @@-@@"	0.290258
"Jan @@-@@"	0.245995
"Sept @@-@@"	0.231146
"Feb @@-@@"	0.228546
"June @@-@@"	0.22098
"Nov @@-@@"	0.200453
"May @@-@@"	0.195986
"July @@-@@"	0.190622
"March @@-@@"	0.189923
"April @@-@@"	0.173542
"June @-@@"	0.165506
"April @-@@"	0.159257
"Dec @@-@@"	0.156123
"July @-@@"	0.143567
"March @-@@"	0.121001
"over @@ days"	0.116687
"May @-@@"	0.113647
"August @@-@@"	0.112384
"November @@-@@"	0.101578
"September @@-@@"	0.0983808
"December @-@@"	0.0967031
"Feb. @."	0.0952407
"Feb @@"	0.0941163
"Oct @"	0.0918446
"Aug @@"	0.0904432
"Nov @@"	0.0888265
"Jan @@"	0.0871226
"October @@-@@"	0.0866502
"February @@-@@"	0.0850892
"January @@-@@"	0.0850176
"Nov @"	0.0847265
"Dec. @."	0.0836368
"Oct @@"	0.0798237
"December @@-@@"	0.0793296
"Dec @@"	0.0792918
"Nov. @."	0.0790244
"April @"	0.0779131
"March @-@"	0.0762278
"Dec @"	0.0758704
"Feb @"	0.0758206
"May @."	0.0755829
"Aug @"	0.07464
"December @-@"	0.0734729
"Sept @"	0.0734551
"over three days"	0.0697779
"June @"	0.0690921
"four weeks ago"	0.0647841
"one weekend"	0.0632699
"over two decades"	0.0631102
"Oct @, @@@@"	0.0630653
"Jan @"	0.0621757
"March @."	0.0613116
two-week	0.0606123
"Sept. @."	0.060577
"Jan. @."	0.0604817
"Oct. @."	0.0604006
"June @."	0.0600664
ten-day	0.059873
"over two days"	0.0589654
"October @"	0.0574172
"July @-@"	0.0561783
"Dec @, @@@@"	0.0548036
"Sept @, @@@@"	0.0542413
"July @@, @@@@"	0.0540971
"April @."	0.054031
"December @"	0.0540032
"March @, @@@@"	0.05335
"February @-@"	0.0527955
"from @@@@ to @@@@"	0.0527154
"nearly three weeks"	0.0522921
"three months ago"	0.0522318
"Sept. @@"	0.0521228
"National Council of La Raza"	0.051827
"almost two hours"	0.051673
one-week	0.0511161
"June @-@"	0.0507613
"over two hours"	0.0505048
"May @-@"	0.0496089
weeklong	0.0489223
"four years ago"	0.0487615
"more than three weeks"	0.0487222
VFW	0.0478311
"November @-@@"	0.0478005
"Sept @@, @@@@"	0.0476259
Spring/Summer	0.0474492
"about six weeks"	0.0472798
Jun	0.0471595
"From January to June"	0.0471033
"National Association of Broadcasters"	0.0468026
"Feb @@, @@@@"	0.0467904
"three weeks ago"	0.0464578
"February @."	0.0462728
"about three weeks ago"	0.0458963
"September @@, @@@@"	0.0453638
"February @@, @@@@"	0.0450486
"right here"	0.0447679
NHRA	0.0440207
"From January to March"	0.0438178
"one month ago"	0.0437272
"one year ago"	0.0430276
"Aug. @."	0.0428927
"almost two months"	0.0421964
"time ago"	0.041487
"December @."	0.0406225
"about one hour"	0.0406089
"from @@@@-@@@@"	0.040514
"two times"	0.0402173
"over two weeks"	0.0401579
))
("Aug. @." (desc 12712.7) (sims
"Aug @"	0.280711
"Sept. @."	0.199798
"April @."	0.192607
"August @."	0.191856
"June @."	0.186761
"Aug @@"	0.181444
"Feb. @."	0.177818
"Oct @@"	0.173338
"March @."	0.170455
"July @@"	0.168041
"Dec. @."	0.166587
"July @."	0.16579
"Nov. @."	0.163607
"May @."	0.162199
"April @@"	0.158646
"May @@"	0.15692
"Oct. @."	0.156546
"Feb @@"	0.156187
"Dec @@"	0.155892
"Sept @"	0.154628
"June @@"	0.152685
"Nov @@"	0.152159
"Sept @@"	0.14742
"Jan @@"	0.13814
"August @"	0.135132
"March @@"	0.131049
"Jan. @."	0.130198
"April @"	0.12783
"Dec @"	0.124631
"June @"	0.12337
"Sept @@, @@@@"	0.12296
"Feb @"	0.119459
"May @"	0.117688
"July @"	0.117175
"August @@"	0.114419
"Oct @"	0.1132
"Nov @"	0.11153
"December @@"	0.110446
"May @@, @@@@"	0.110189
"October @@"	0.107918
"October @."	0.10681
"September @@"	0.105591
"March @"	0.105288
"November @@"	0.104235
"Jan @"	0.100184
"July @@, @@@@"	0.0999745
"seven months ago"	0.099622
"December @."	0.0994062
"June @@, @@@@"	0.097104
"January @@, @@@@"	0.0970441
"Aug @@, @@@@"	0.0959947
"September @."	0.0952054
"November @."	0.0934321
"February @."	0.0928668
"October @"	0.0928126
"January @@"	0.0925623
"March @@, @@@@"	0.0898281
"Feb @@, @@@@"	0.0894096
"April @@, @@@@"	0.0890901
"Sept @, @@@@"	0.0890587
"Jan @, @@@@"	0.0888506
"Nov @@, @@@@"	0.0880135
"May @, @@@@"	0.0845406
"Aug @, @@@@"	0.0837892
"Jan @@, @@@@"	0.0831196
"April @, @@@@"	0.0828391
"Dec @@, @@@@"	0.0823169
"August @, @@@@"	0.0820435
"December @@, @@@@"	0.0811061
"Oct @, @@@@"	0.0809039
"eight months ago"	0.0798253
"January @."	0.0781376
"December @"	0.076978
"February @@"	0.0765968
"January @"	0.0755858
"Five months ago"	0.0748265
"March @, @@@@"	0.0739187
"three days ago"	0.0733358
"October @@, @@@@"	0.0726814
"June @, @@@@"	0.0725451
"OCT @@, @@@@"	0.0723632
"September @"	0.072085
"February @"	0.0720009
"Dec @, @@@@"	0.0716891
"July @, @@@@"	0.0713215
"February @@, @@@@"	0.0709778
"one week ago"	0.0706778
"September @@, @@@@"	0.0704987
"more than two years ago"	0.0694667
"November @"	0.069098
"February @, @@@@"	0.0685387
"three weeks ago"	0.0680276
"January @, @@@@"	0.0673148
"August @@, @@@@"	0.0670716
"about two years ago"	0.0666952
"more than three years ago"	0.0654928
"Aug. @@"	0.0650377
"three months ago"	0.0621998
"April @@-@@"	0.0617525
"six days ago"	0.0614797
"November @@, @@@@"	0.0602926
"five weeks ago"	0.0596573
"six months ago"	0.0594029
"two months ago"	0.0590044
"six years ago"	0.0570061
"two weeks ago"	0.0563687
"four weeks ago"	0.0558876
"about five years ago"	0.0556907
"Sept @@-@@"	0.0556005
"Five days ago"	0.0555577
"Sept. @@"	0.055541
"four months ago"	0.0542224
"two years ago"	0.0535321
"Nov @, @@@@"	0.0526255
"seven years ago"	0.0516389
"nearly three years ago"	0.0513254
"five years ago"	0.0508593
"two days ago"	0.0504195
"almost @@ years ago"	0.0503541
"June @@-@@"	0.0502562
"Oct @@-@@"	0.0501583
"about two weeks ago"	0.0498051
"September @, @@@@"	0.0491707
"one year ago"	0.0488117
"November @, @@@@"	0.0485698
"four days ago"	0.0485228
"nearly two years ago"	0.048244
"nine years ago"	0.0480279
"six weeks ago"	0.0480057
"Christmas Day"	0.047974
"Feb @, @@@@"	0.0479093
"one month ago"	0.0477869
"three years ago"	0.0476873
"four years ago"	0.0475416
"October @, @@@@"	0.047481
tomorrow	0.0467974
"nearly @@ years ago"	0.0462159
"July @@-@@"	0.046084
"month ago"	0.0459621
"New Year's Day"	0.0457054
mid-April	0.0450999
"eight years ago"	0.044779
"July @-@@"	0.0442506
mid-December	0.043926
"Aug @@-@@"	0.0428927
"months ago"	0.042206
tonight	0.0406281
"December @, @@@@"	0.0403357
"March @@-@@"	0.0402636
"Nov @@-@@"	0.0401415
mid-January	0.0400295
))
("Aug. @@" (desc 1231.73) (sims
"Sept. @@"	0.283182
"Oct. @."	0.105358
"Sept. @."	0.0914192
"Dec. @."	0.0888146
"October @."	0.0878273
"key rate"	0.0849129
"Feb. @."	0.0730209
"April @."	0.0728559
"Jan. @."	0.0708748
"February @."	0.069253
"eight days ago"	0.0686363
"March @-@@"	0.0674398
"seasons ago"	0.0667317
"Aug. @."	0.0650377
"December @."	0.0626222
"February @-@"	0.0604783
"April @-@@"	0.055433
"Oct @, @@@@"	0.0553319
Paulie	0.0553022
"August @."	0.0540816
"November @."	0.0535688
"Jatiya Party"	0.0529634
"October @-@"	0.0529357
"February @, @@@@"	0.0515809
Extremadura	0.050422
AUG	0.0499992
"six days ago"	0.0497563
"September @."	0.0497548
"March @-@"	0.0479746
"nearly three years ago"	0.0473223
"November @@, @@@@"	0.0470163
"nearly two weeks ago"	0.0462187
"January @@, @@@@"	0.0452052
"November @, @@@@"	0.0452005
"December @-@@"	0.0449435
"December @-@"	0.0446772
"rocket fuel"	0.0445804
"August @@, @@@@"	0.0439198
NY@@@-@@@	0.0438243
TAXES	0.0432426
"Tuesday, July @@"	0.0430335
ft	0.0427678
"first weekend"	0.04272
"Five months ago"	0.0424826
"August @@-@@"	0.0423304
"June @-@@"	0.042009
"nearly two months"	0.0414653
"July @-@"	0.0412484
"less than two years ago"	0.0405344
))
(Auger (desc 1242.06) (sims
winch	0.0817357
snowplow	0.077736
"three units"	0.077356
"solar power"	0.0756213
endoscope	0.0755077
scraper	0.0751392
"summer house"	0.0721314
"studio apartment"	0.0701411
blower	0.0699289
backhoe	0.0690244
"packing material"	0.0684751
"optical fiber"	0.0683159
"water plant"	0.0675391
mower	0.0653553
sander	0.0651162
"Civic Arena"	0.0631384
"cabin cruiser"	0.06296
jackhammer	0.0626217
crematorium	0.0621417
barbell	0.0619308
"morse code"	0.061873
SDH	0.061626
Harr	0.0602896
antiseptic	0.0599342
Grbac	0.0597831
screwdriver	0.059163
"gambling casino"	0.0580625
telemedicine	0.0577934
Lockwood	0.0577732
nematode	0.057715
"billion yuan"	0.0576563
"lawn mower"	0.0575247
"seven billion yuan"	0.0571417
"sliding door"	0.0567763
lifesaver	0.0566645
WordPerfect	0.0565575
"purchase contract"	0.0561207
adapter	0.0559472
"weather satellite"	0.0550751
bitumen	0.0548152
"L.L Bean"	0.0542065
E-ZPass	0.0540478
"bowling ball"	0.0538155
Eskom	0.0537658
converter	0.0528818
"nearly @@@ million yuan"	0.0524642
forklifts	0.0520902
tux	0.0519819
shredder	0.0519741
Priceline	0.051566
"fire hose"	0.0510849
Thirty-five	0.0507916
Grunow	0.0506384
"water pump"	0.0506269
insulator	0.0505341
forklift	0.0500431
accoutrement	0.049884
interconnection	0.0495611
"mechanical device"	0.0493369
trowel	0.0492169
"Love Bug"	0.0491799
Yoakam	0.049101
"endowment fund"	0.0489359
"two billion US dollars"	0.0489305
cinch	0.0487974
Ciampi	0.0487734
amplification	0.048527
incinerator	0.0484321
"open-air market"	0.0483049
Dorsey	0.0481966
phonics	0.0478008
"one million US dollars"	0.0477586
LNG	0.0476604
snowshoes	0.0473342
Tevanian	0.0473124
KLIA	0.0472094
pushcart	0.0471027
egghead	0.0470871
"steel plate"	0.046915
"more than @@@ million US dollars"	0.0468999
"coaxial cable"	0.0468038
"Gulf Air"	0.046764
"another @@ million dollars"	0.0467558
Borrego	0.0465615
"number crunching"	0.046509
"American plane"	0.0464708
"extension cord"	0.0463022
"Indiana Jones"	0.0460924
urinal	0.0459563
accelerator	0.0459089
"choice of words"	0.0458738
BoT	0.0458109
scooter	0.0457173
"more than one billion yuan"	0.0456998
Meadows	0.0456592
canker	0.0456475
Galileo	0.0455565
"radio telescope"	0.0455421
Cessna	0.0455027
"beach ball"	0.0454862
motorboat	0.0454418
Hightower	0.0453264
"power unit"	0.0452314
electrode	0.0452255
"La Russa"	0.0451362
"electronic device"	0.0451355
Reel.com	0.0449552
"billion over @@ years"	0.0446871
shaver	0.0446727
"shuttle bus"	0.0444542
"windshield wiper"	0.0443986
"mainframe computer"	0.0442566
Tapia	0.044255
"more than @ billion yuan"	0.0442279
ADF	0.0441844
filtering	0.0440757
Amway	0.0440356
"Hail Mary"	0.043936
dino	0.0439087
trellis	0.0438399
Opel	0.0438079
adenovirus	0.0437815
"Private Ryan"	0.0437374
NZ	0.0436993
airball	0.0435557
"three words"	0.0434231
nobleman	0.0433864
"electric current"	0.0432019
decker	0.0430574
"another five"	0.0430335
off-campus	0.0429332
Jonsson	0.0429198
"reserve fund"	0.0429114
Klemperer	0.0428617
transponder	0.0428134
trimmer	0.0428109
Ukrainians	0.0427713
"surveillance system"	0.0427556
Partway	0.0427081
"grazing land"	0.0427064
puncher	0.0425735
"Consumer Product Safety Commission"	0.0425627
"three million yuan"	0.0425621
vaulter	0.042561
"a few million dollars"	0.0424717
"transmission line"	0.0424117
USATF	0.0423894
"murder suspect"	0.0423877
"matinee idol"	0.0423807
abortionist	0.0423535
"beam of light"	0.0423257
ECN	0.0422829
"electric car"	0.0421807
good-naturedly	0.042078
blacktop	0.0419918
Yorktown	0.04199
CERN	0.0419069
incineration	0.0418649
"human waste"	0.041856
Scud	0.0417363
Priebke	0.0417247
"Cessna @@@"	0.0417148
"central heating"	0.041634
"herb garden"	0.0416191
walk-up	0.0416177
Fares	0.0415998
GST	0.0415925
"more than @.@ billion"	0.0415042
rickshaw	0.0414592
"automated teller machine"	0.0414579
radiator	0.0413182
"Sean Rooks"	0.0411804
Walgreens	0.0411599
denier	0.0411116
"P.J Brown"	0.0410948
Hotlines	0.0409496
"battering ram"	0.0408981
"public transit"	0.0408818
noncitizens	0.0408105
"hot air"	0.040767
Cartier	0.04066
Guerin	0.0406548
enquiry	0.0406359
"Lincoln Bedroom"	0.0406169
hostage-takers	0.0406138
"prairie dog"	0.040569
opal	0.0405616
"meteorological satellite"	0.0405582
"letter carrier"	0.0405531
"golf cart"	0.0405214
"Hollywood studio"	0.0405209
WebTV	0.0405161
"oil rig"	0.0404869
"Home Shopping Network"	0.0404641
classifieds	0.0404437
"Adobe Systems"	0.0404433
"hydraulic system"	0.0404341
orthodontist	0.0404161
ATC	0.040363
analogue	0.0403404
))
(augmentation (desc 2696.71) (sims
liposuction	0.196145
"face lift"	0.17026
angioplasty	0.14972
"plastic surgery"	0.122248
LASIK	0.111413
gallbladder	0.103439
"breast implant"	0.0825126
vasectomy	0.0798847
self-examination	0.0793217
"cosmetic surgery"	0.078472
"surgical procedure"	0.0778449
facelift	0.0773029
biopsy	0.0723554
enlargement	0.0691097
makeovers	0.0688677
"blood transfusion"	0.0664687
reallocation	0.0664035
radiotherapy	0.064506
"cancer death"	0.0634448
"magnetic resonance imaging"	0.0632117
enhancement	0.063193
amputation	0.0627995
aneurysm	0.0620301
Caesarean	0.0610786
mastectomy	0.0607682
sterilization	0.0605907
hypnosis	0.0584765
hernia	0.058218
drawdown	0.0563889
triage	0.0539337
Botox	0.0533813
liberalisation	0.0530784
electrocution	0.0530664
circumcision	0.0527887
make-over	0.0513889
reassignment	0.0502709
disfigurement	0.0500862
dialysis	0.0497505
detoxification	0.0493184
Herceptin	0.0491353
outpatient	0.0481084
enema	0.0479378
"artificial insemination"	0.0476533
C-section	0.0475476
extraction	0.0475185
curtailment	0.0470952
suction	0.0470226
retrenchment	0.0469336
"about three percent"	0.0468039
targeting	0.0464687
self-discipline	0.0462372
"live birth"	0.0459388
knighthood	0.0456148
fostering	0.0453879
initiation	0.0452015
castration	0.04511
acupuncture	0.0450571
"caesarean section"	0.0448411
realignment	0.0447679
cataract	0.0447267
"physical therapy"	0.0442667
barbell	0.0440298
freeing	0.0439734
Haj	0.0439673
diminution	0.04336
lifesaving	0.0433496
alleviation	0.0431312
"electric chair"	0.0430351
electrocardiogram	0.0430101
sustainability	0.0430058
"transfer payment"	0.042965
ensign	0.0428117
lockdown	0.0427306
decontamination	0.0426752
implantation	0.042597
slackening	0.0423582
"brain tumor"	0.0423515
"object lesson"	0.0422511
mobilization	0.0418921
"kidney stone"	0.0418735
easing	0.0417567
insufficiency	0.0416787
underpinning	0.0414365
"brain stem"	0.0414072
"less than one percent"	0.0413461
bends	0.0412783
recruiting	0.0412421
obeisance	0.0409558
"million tons"	0.0408215
striptease	0.0407213
"civic duty"	0.040301
stabilization	0.0401859
"less than five percent"	0.0401615
reshuffling	0.0400416
))
(August (desc 88859.6) (sims
July	0.343485
June	0.340796
January	0.329587
October	0.326449
September	0.32508
December	0.317308
April	0.315025
February	0.311556
may	0.302651
November	0.299064
March	0.242484
"December @@@@"	0.209802
"January @@@@"	0.205196
"August @@@@"	0.203789
"July @@@@"	0.195876
"April @@@@"	0.192963
"September @@@@"	0.191848
"October @@@@"	0.190713
"March @@@@"	0.189993
"June @@@@"	0.188348
"November @@@@"	0.183674
"May @@@@"	0.175633
"February @@@@"	0.168485
mid-August	0.165138
"first quarter"	0.156901
summer	0.146204
"late @@@@"	0.145562
month	0.139411
Spring	0.139248
"second quarter"	0.138501
"third quarter"	0.129117
"first six months"	0.124183
mid-January	0.122571
"first half"	0.118239
year	0.117242
mid-June	0.116233
mid-November	0.115544
fall	0.114887
"first three months"	0.110549
mid-December	0.109827
"fiscal @@@@"	0.109715
mid-October	0.108711
mid-April	0.107798
mid-July	0.107335
"first @@ months"	0.107144
autumn	0.10677
"first five months"	0.106078
mid-@@@@	0.105154
mid-September	0.103619
"first nine months"	0.102089
week	0.101543
Mid-February	0.0990273
Monday	0.0988607
"first seven months"	0.0983821
"first eight months"	0.0980716
Friday	0.0965524
"first four months"	0.0953864
"May, @@@@"	0.0942344
"fiscal year"	0.0936678
"June @@"	0.0932197
Thursday	0.0928799
mid-May	0.0928515
Tuesday	0.0925165
winter	0.09184
Wednesday	0.0915555
"first two months"	0.0906483
"January, @@@@"	0.0905353
quarter	0.0901337
mid-March	0.0894381
"second half"	0.0894307
"Aug @@"	0.0877086
afternoon	0.0873549
"April, @@@@"	0.0872512
"last quarter"	0.0871212
"first week"	0.0865127
"late @@@@s"	0.0860068
morning	0.0855909
"last week"	0.0853366
"March @@"	0.0842225
"May @@"	0.083782
"July @@"	0.0831978
"October, @@@@"	0.0830069
Sunday	0.0827316
"December, @@@@"	0.0815147
Saturday	0.0808629
"July, @@@@"	0.0806696
"Oct @"	0.0801238
"Jan @@"	0.0799711
"Nov @@"	0.0792263
"Dec @@"	0.0790779
"July @"	0.0790429
weekend	0.0788759
"Sept @@"	0.0788046
"Aug @"	0.0781394
"Feb @@"	0.077133
Evening	0.077058
today	0.0764011
"three months"	0.0759422
period	0.0752472
"Oct @@"	0.0751927
"April @@"	0.0747344
mid-@@@@s	0.0725264
season	0.0701662
"June @"	0.0690219
day	0.0683378
"first three quarters"	0.0678973
tomorrow	0.0661584
"past @@ months"	0.0655925
"April @"	0.0653653
"Nov @"	0.0651527
"September @@"	0.064782
"last three months"	0.0639532
wake	0.0637457
Christmas	0.0634473
night	0.0630557
"May @"	0.0626305
"six months"	0.0620925
"August @@"	0.0610774
"financial year"	0.0610714
"two years ago"	0.0609926
"Feb @"	0.0608375
"two weeks"	0.0605567
"two months"	0.0604805
"March @"	0.0603137
"three years"	0.0601032
"second week"	0.0593573
"first year"	0.058734
"year ago"	0.0587094
yesterday	0.0583497
"past two years"	0.0580147
now	0.0579858
"Sept @"	0.0578593
"a few days"	0.0577534
"a few weeks"	0.0573477
"four months"	0.0571638
decade	0.0566395
"Jan @"	0.0566356
"two years"	0.0564924
"a few months"	0.0563118
"five years"	0.0562873
"November @@"	0.0559391
trading	0.0555745
"seven months"	0.0554701
"December @@"	0.0553034
"Dec @"	0.0548084
"three weeks"	0.0547678
"four years"	0.0545592
"past six months"	0.0539161
middle	0.0531725
"January @@"	0.0531332
"year end"	0.0528307
"July @."	0.0521783
"first month"	0.0517154
hour	0.0508789
"last @@ months"	0.0506573
"May @."	0.0505664
"October @@"	0.0505432
bid	0.0504685
"from @@@@ to @@@@"	0.0503401
"two days"	0.0502491
"last two years"	0.0502485
"spring training"	0.0500437
"two weeks ago"	0.0497277
"October @"	0.0495495
"August @"	0.0495353
"six weeks"	0.0491597
"five years ago"	0.0489997
"three years ago"	0.0488336
"next two weeks"	0.0486807
"nine months"	0.0485937
"February @@"	0.0479744
Tokyo	0.0478728
"past five years"	0.0478394
BEIJING	0.0477234
tonight	0.0476529
accordance	0.0474309
"past three months"	0.0472019
"New York"	0.0471986
future	0.0471556
ending	0.0468489
term	0.0465483
session	0.0464191
"last six months"	0.0462855
"one week"	0.0460018
"one day"	0.0458599
"one month"	0.0453306
Thanksgiving	0.0452055
"second year"	0.0448291
"four weeks"	0.0448052
election	0.0447969
"next five years"	0.044744
"September @"	0.0447318
"United States"	0.0447132
particular	0.0446235
"past two months"	0.0445629
"eight years"	0.0444427
LONDON	0.044319
"five months"	0.0442888
"past two weeks"	0.0440306
"eight months"	0.04397
))
("August @" (desc 21307.2) (sims
"August @@"	0.323579
"September @"	0.297294
"October @@"	0.290986
"September @@"	0.289219
"August @."	0.286126
"February @@"	0.281142
"November @@"	0.272768
"October @"	0.270471
"December @@"	0.26675
"July @@"	0.266657
"December @"	0.2653
"November @"	0.26446
"January @@"	0.263333
"February @"	0.25928
"June @"	0.249605
"May @"	0.248043
"April @"	0.243312
"May @@"	0.242965
"January @"	0.239405
"April @@"	0.234497
"June @@"	0.222354
"March @@"	0.222226
"March @"	0.22059
"July @"	0.217386
"Aug @"	0.195849
"February @."	0.163373
"August @, @@@@"	0.161359
"December @@, @@@@"	0.154394
"February @, @@@@"	0.153895
"October @."	0.146784
"September @."	0.145377
"June @."	0.145223
"July @, @@@@"	0.14508
"July @."	0.14491
"January @@, @@@@"	0.14449
"November @@, @@@@"	0.144303
"Dec @"	0.144021
"May @@, @@@@"	0.142529
"May @."	0.142324
"June @@, @@@@"	0.138722
"January @, @@@@"	0.13853
"Aug @@"	0.138373
"Oct @@"	0.135891
"Aug. @."	0.135132
"Nov @@"	0.131665
"April @."	0.13166
"March @, @@@@"	0.13012
"November @."	0.129174
"Feb @@"	0.128495
"May @, @@@@"	0.128385
"Sept @"	0.128379
"March @@, @@@@"	0.128099
"Oct @"	0.127915
"January @."	0.127668
"April @@, @@@@"	0.125807
"March @."	0.125273
"October @, @@@@"	0.124215
"Feb. @."	0.123529
"Dec @@"	0.123501
"July @@, @@@@"	0.122811
"October @@, @@@@"	0.121718
"Sept @@"	0.121537
"Aug @, @@@@"	0.121481
"December @."	0.120616
"Jan @@"	0.120031
"December @, @@@@"	0.11919
"November @, @@@@"	0.118931
"April @, @@@@"	0.116637
"September @@-@@"	0.116572
"Jan @"	0.113038
"Dec. @."	0.110503
"Feb @"	0.109938
"December @@-@@"	0.108488
"February @@, @@@@"	0.105283
"September @@, @@@@"	0.104996
Monday	0.104791
"October @@-@@"	0.103738
"Jan @@, @@@@"	0.103736
"Dec @@, @@@@"	0.103531
"August @@, @@@@"	0.103252
"June @@-@@"	0.102936
"June @, @@@@"	0.102314
"Nov @@, @@@@"	0.101788
"Oct. @."	0.101759
"Sept. @."	0.100281
"May @@-@@"	0.100229
"Jan @, @@@@"	0.0997898
"Nov @"	0.0997603
Tuesday	0.0982681
"June @-@@"	0.0982027
Wednesday	0.0977541
Friday	0.0966636
Thursday	0.0965724
"September @, @@@@"	0.0954588
"April @@-@@"	0.0953095
"March @@-@@"	0.0945126
"July @@-@@"	0.0936225
"August @@-@@"	0.092184
"December @-@@"	0.0921046
Sunday	0.0915165
"Jan. @."	0.0911293
Saturday	0.0910385
"Dec @, @@@@"	0.09003
"Feb @, @@@@"	0.0899408
"OCT @@, @@@@"	0.0895533
"Feb @@, @@@@"	0.0893399
"February @@-@@"	0.0865159
"Sept @@, @@@@"	0.0864612
"Sept @, @@@@"	0.0853232
"November @@-@@"	0.0850043
"Oct @, @@@@"	0.0848882
"January @@-@@"	0.083013
"Nov. @."	0.0805756
"July @-@@"	0.0800874
"December @-@"	0.0793854
"Nov @, @@@@"	0.0759485
"September @-@@"	0.074771
"Aug @@, @@@@"	0.0744696
Evening	0.0708743
"May @-@@"	0.0704144
"New Year's Day"	0.0678444
"March @-@@"	0.0665709
morning	0.0660076
"New Year's eve"	0.0644799
"March @-@"	0.0644064
"April @-@@"	0.0632699
"Sept @@-@@"	0.0626837
"February @-@"	0.0599521
"November @-@"	0.0598997
tomorrow	0.0545977
mid-September	0.0544889
"September @-@"	0.0531286
noon	0.0517096
"Oct @@-@@"	0.0515854
"Aug @@-@@"	0.0508693
"April @-@"	0.0506116
"March @@@@"	0.0504954
August	0.0495353
"May @-@"	0.0494239
mid-June	0.0492565
"June @-@"	0.0488078
"December @@@@"	0.0487966
"January @@@@"	0.0477121
"October @@@@"	0.046931
"Christmas Eve"	0.0460756
eve	0.0457751
"September @@@@"	0.044899
"November @@@@"	0.0446488
mid-December	0.0438057
"April @@@@"	0.043517
"August @@@@"	0.0432242
"first day"	0.0428575
"Memorial Day"	0.0416031
midnight	0.0414731
"July @@@@"	0.0407641
))
("August @, @@@@" (desc 3932.84) (sims
"February @, @@@@"	0.19578
"February @@, @@@@"	0.194257
"December @, @@@@"	0.18106
"December @@, @@@@"	0.179972
"September @@, @@@@"	0.177175
"Aug @, @@@@"	0.175559
"January @@, @@@@"	0.171104
"November @@, @@@@"	0.16814
"October @, @@@@"	0.165031
"August @"	0.161359
"August @@, @@@@"	0.156995
"November @, @@@@"	0.153036
"August @."	0.148478
"February @."	0.141503
"October @@, @@@@"	0.140485
"April @@, @@@@"	0.133756
"May @@, @@@@"	0.129051
"December @."	0.127275
"May @, @@@@"	0.122073
"July @@, @@@@"	0.118026
"September @, @@@@"	0.117493
"June @@, @@@@"	0.115488
"July @, @@@@"	0.112833
"April @, @@@@"	0.112555
"March @@, @@@@"	0.109332
"January @@"	0.108226
"December @@"	0.104672
"May @."	0.103968
"November @@"	0.103757
"September @@"	0.102529
"January @, @@@@"	0.101744
"August @@"	0.100679
"February @@"	0.0992142
"Feb @@, @@@@"	0.0971833
"April @@"	0.0959728
"Aug @"	0.0956773
"October @@"	0.0944385
"March @, @@@@"	0.0927634
"June @, @@@@"	0.091618
"March @."	0.0883258
"September @"	0.0865331
"December @"	0.0848697
"April @."	0.084667
"May @"	0.0828026
"January @."	0.0824968
"November @."	0.0823858
"Aug. @."	0.0820435
"January @"	0.0817807
"September @."	0.0811358
"February @"	0.0801908
"October @."	0.0801491
"June @."	0.0794056
"Dec @@, @@@@"	0.0791894
"Aug @@, @@@@"	0.0776858
"October @"	0.0761161
"April @"	0.0742246
"July @."	0.0738031
"November @"	0.0736813
"Jan @, @@@@"	0.0702718
"Nov @@, @@@@"	0.0686312
"Nov @, @@@@"	0.0675925
"Sept @, @@@@"	0.064565
"March @"	0.0645419
"Jan @@, @@@@"	0.0616352
"Sept @@, @@@@"	0.0600575
"Dec @, @@@@"	0.0596094
"Feb. @."	0.0594144
"April @@-@@"	0.0578286
"December @@-@@"	0.057691
"June @@-@@"	0.0572903
"October @@-@@"	0.0567428
"Jan @"	0.0560889
"Feb @, @@@@"	0.0559128
"Sept @"	0.0551251
"May @@-@@"	0.0548397
"Oct @, @@@@"	0.0542737
"OCT @@, @@@@"	0.0526264
"Jan. @."	0.0506477
"November @@-@@"	0.0497653
"Dec @"	0.0489855
"November @-@"	0.048476
"Feb @"	0.047767
"Dec. @."	0.0470466
"September @@-@@"	0.046877
"Oct @"	0.0461322
"Court @"	0.0460709
"July @@-@@"	0.0454188
"Sept. @."	0.0446207
"Sept. @@"	0.0430556
"May @-@@"	0.0429013
"Bastille Day"	0.0427027
"June @-@@"	0.0421187
"December @-@@"	0.0416772
"Christmas Eve"	0.0416657
"March @-@"	0.0416088
"Christmas Day"	0.0412214
"Champs Elysees"	0.04053
))
("August @." (desc 6702.88) (sims
"August @"	0.286126
"February @."	0.247436
"December @."	0.210705
"October @."	0.202363
"November @."	0.201353
"February @, @@@@"	0.195746
"Aug. @."	0.191856
"June @."	0.180221
"August @@"	0.180187
"September @."	0.177442
"May @."	0.176507
"April @."	0.165675
"January @."	0.163119
"September @@"	0.157921
"March @."	0.154479
"December @"	0.154201
"Feb. @."	0.153722
"July @."	0.153469
"December @@"	0.152961
"July @@"	0.152144
"September @"	0.151217
"December @@, @@@@"	0.148568
"August @, @@@@"	0.148478
"February @@"	0.147792
"January @@"	0.147078
"October @"	0.146184
"January @@, @@@@"	0.145512
"October @@"	0.145334
"Dec. @."	0.144401
"November @@"	0.143776
"October @, @@@@"	0.142303
"November @"	0.14128
"February @"	0.13784
"September @@, @@@@"	0.13737
"April @@"	0.136818
"May @@"	0.135558
"June @@"	0.135032
"Aug @"	0.13478
"November @@, @@@@"	0.131518
"Jan. @."	0.129671
"March @@"	0.127203
"October @@, @@@@"	0.126463
"Oct. @."	0.124692
"November @, @@@@"	0.123413
"Dec @"	0.120417
"August @@, @@@@"	0.118975
"Sept. @."	0.118401
"January @"	0.118232
"May @"	0.117896
"February @@, @@@@"	0.114428
"Oct @@"	0.11436
"Aug @@"	0.113092
"June @"	0.112271
"March @"	0.109993
"September @, @@@@"	0.108935
"Nov @@"	0.10876
"July @"	0.107775
"July @, @@@@"	0.107283
"January @, @@@@"	0.106502
"October @@-@@"	0.106236
"December @, @@@@"	0.106216
"April @"	0.104772
"Feb @@"	0.10416
"Dec @@"	0.101525
"March @, @@@@"	0.100659
"Sept @@"	0.0982894
"Feb @"	0.0963213
"May @@, @@@@"	0.0954135
"Nov. @."	0.0940591
"Jan @@"	0.0940281
"June @@, @@@@"	0.0937875
"Aug @, @@@@"	0.0927424
"June @@-@@"	0.0917928
"May @, @@@@"	0.0900309
"Oct @"	0.0873285
"August @@-@@"	0.0872745
"February @@-@@"	0.0862683
"June @, @@@@"	0.0860767
"April @@, @@@@"	0.0846688
"Jan @@, @@@@"	0.0833745
"March @@, @@@@"	0.0824475
"Sept @"	0.0822187
"June @-@@"	0.0807581
"November @@-@@"	0.0806204
"September @@-@@"	0.0797156
"July @@, @@@@"	0.0797105
"March @@-@@"	0.0777636
"December @@-@@"	0.0766092
"April @, @@@@"	0.0752408
"Jan @"	0.0741913
"November @-@@"	0.0732328
"July @-@@"	0.0730422
"January @@-@@"	0.0716828
"March @-@@"	0.0714917
"Nov @"	0.0706997
"April @@-@@"	0.0701347
"Feb @@, @@@@"	0.0694689
"November @-@"	0.0650141
"December @-@"	0.064037
"New Year's eve"	0.0637777
"May @@-@@"	0.0634649
"March @-@"	0.0631155
"Jan @, @@@@"	0.0619392
"seven months ago"	0.0617536
"July @@-@@"	0.0614197
"May @-@@"	0.0608142
"Nov @@, @@@@"	0.06071
"September @-@"	0.0606092
"Sept @@, @@@@"	0.0601524
"Oct @, @@@@"	0.0600838
"April @-@@"	0.0586239
"December @-@@"	0.0577939
"New Year's Day"	0.0560858
"Aug. @@"	0.0540816
"Dec @@, @@@@"	0.053498
"Dec @, @@@@"	0.0533719
"Sept @, @@@@"	0.0532592
"Aug @@, @@@@"	0.0500714
"four weeks ago"	0.0467581
"more than two years ago"	0.0466535
weekends	0.0461988
"Nov @, @@@@"	0.0460502
"Christmas Eve"	0.0437914
"Oct @@-@@"	0.0436414
"Sept. @@"	0.0428705
"February @-@"	0.0418277
"May @-@"	0.0417071
"Feb @, @@@@"	0.0400104
))
("August @@" (desc 41569.4) (sims
"September @@"	0.372717
"October @@"	0.346868
"November @@"	0.338731
"January @@"	0.334802
"February @@"	0.328694
"August @"	0.323579
"September @"	0.323306
"December @@"	0.311536
"July @@"	0.311214
"October @"	0.289093
"June @@"	0.288138
"May @@"	0.284586
"December @"	0.282769
"April @@"	0.281817
"March @@"	0.2783
"May @"	0.26653
"July @"	0.260731
"February @"	0.25755
"June @"	0.257305
"November @"	0.256211
"January @"	0.255907
"April @"	0.247344
"March @"	0.235352
"Aug @@"	0.217634
"June @."	0.182722
"July @."	0.182564
"Sept @@"	0.180629
"August @."	0.180187
"February @."	0.177034
"May @."	0.17661
"January @@, @@@@"	0.175611
"March @@, @@@@"	0.173098
"April @."	0.172972
"Oct @@"	0.172164
"December @@, @@@@"	0.168778
"August @@, @@@@"	0.168481
"September @."	0.167386
"June @@, @@@@"	0.164254
"October @."	0.16394
"Nov @@"	0.163746
"Jan @@"	0.16276
"October @@, @@@@"	0.15743
"Feb @@"	0.155786
"May @@, @@@@"	0.155402
"December @."	0.151901
"August @@-@@"	0.151052
"July @@, @@@@"	0.148662
"September @@-@@"	0.147813
"Aug @"	0.146816
"March @."	0.145833
Monday	0.144192
"September @@, @@@@"	0.143843
"April @@, @@@@"	0.142551
"October @@-@@"	0.142425
"January @, @@@@"	0.142383
"January @."	0.14179
"July @, @@@@"	0.141713
Friday	0.140902
"June @@-@@"	0.140853
"April @@-@@"	0.140765
"Dec @@"	0.140635
"Dec @"	0.140313
"Oct @"	0.140105
Tuesday	0.138734
"December @, @@@@"	0.137785
"November @."	0.136095
"Jan @"	0.135853
"Sept @"	0.135659
Thursday	0.135077
Wednesday	0.134643
"July @@-@@"	0.133324
Sunday	0.131566
"November @@, @@@@"	0.131471
"April @, @@@@"	0.131037
"May @, @@@@"	0.131003
"January @@-@@"	0.128519
"Dec. @."	0.12819
"February @, @@@@"	0.127759
"February @@, @@@@"	0.127226
"Nov @"	0.126602
"March @, @@@@"	0.124745
"May @@-@@"	0.12391
Saturday	0.123416
"Sept. @."	0.123349
"Oct. @."	0.123136
"Feb. @."	0.123041
"Feb @"	0.11967
"Dec @@, @@@@"	0.119381
"December @@-@@"	0.118769
"November @@-@@"	0.118275
"February @@-@@"	0.118235
"Jan @@, @@@@"	0.118093
"November @, @@@@"	0.11777
"October @, @@@@"	0.115807
"Aug. @."	0.114419
"June @, @@@@"	0.11162
"September @, @@@@"	0.111165
"Aug @@, @@@@"	0.110362
"Nov. @."	0.109434
"March @@-@@"	0.107019
"Jan. @."	0.106879
"Feb @@, @@@@"	0.106745
"Sept @@, @@@@"	0.106526
"December @-@@"	0.10548
"OCT @@, @@@@"	0.104868
"August @, @@@@"	0.100679
"Dec @, @@@@"	0.098356
"Jan @, @@@@"	0.097602
"June @-@@"	0.0952523
"Nov @@, @@@@"	0.0943753
"Sept @, @@@@"	0.0943513
"Aug @, @@@@"	0.0940204
"March @-@@"	0.0931634
"Feb @, @@@@"	0.0911697
"Oct @, @@@@"	0.0895857
"September @-@@"	0.0892902
"April @-@@"	0.0890444
"July @-@@"	0.0889399
morning	0.0888984
"Nov @, @@@@"	0.0826349
Evening	0.0817221
afternoon	0.0741048
November	0.0715853
December	0.070623
June	0.0702959
night	0.0700835
"New Year's Day"	0.0695175
October	0.0691859
"April @-@"	0.0684873
September	0.0680574
January	0.0666565
April	0.0663842
July	0.06618
"December @@@@"	0.0654396
tomorrow	0.0654134
"March @-@"	0.0638368
February	0.0636471
may	0.0625764
"November @-@"	0.0619568
"April @@@@"	0.0611766
August	0.0610774
"New Year's eve"	0.0604646
"March @@@@"	0.0583877
midnight	0.0570247
"September @@@@"	0.0568263
"October @@@@"	0.0558012
"Sept @@-@@"	0.0554902
"Christmas Eve"	0.0554339
noon	0.0553107
"July @@@@"	0.0552087
"Aug @@-@@"	0.0550892
"January @@@@"	0.0550399
"November @@@@"	0.0548491
"June @@@@"	0.0528721
eve	0.0518211
"June @-@"	0.0516527
mid-December	0.0502941
"year end"	0.0494758
mid-July	0.0477219
"August @@@@"	0.0457691
"February @@@@"	0.045479
basis	0.0434995
"May @@@@"	0.0434707
"Labor Day"	0.0434321
"first day"	0.0429104
behalf	0.0426719
"Christmas Day"	0.0425139
mid-November	0.0416019
Christmas	0.0407931
))
("August @@, @@@@" (desc 7656.05) (sims
"September @@, @@@@"	0.245341
"October @@, @@@@"	0.234066
"January @@, @@@@"	0.230117
"November @, @@@@"	0.218327
"November @@, @@@@"	0.208637
"May @@, @@@@"	0.206146
"February @@, @@@@"	0.204496
"October @, @@@@"	0.197359
"December @, @@@@"	0.194755
"June @@, @@@@"	0.189715
"December @@, @@@@"	0.187289
"April @@, @@@@"	0.18713
"July @@, @@@@"	0.182256
"September @, @@@@"	0.181386
"May @, @@@@"	0.178917
"Aug @@, @@@@"	0.174809
"August @@"	0.168481
"April @, @@@@"	0.166316
"March @@, @@@@"	0.164593
"Sept @@, @@@@"	0.161437
"June @, @@@@"	0.157051
"August @, @@@@"	0.156995
"February @, @@@@"	0.156342
"December @@"	0.153652
"Sept @, @@@@"	0.150095
"March @, @@@@"	0.139731
"Feb @@, @@@@"	0.136999
"Nov @, @@@@"	0.13625
"OCT @@, @@@@"	0.135337
"January @."	0.127685
"July @, @@@@"	0.127133
"October @@"	0.125705
"Feb @, @@@@"	0.125638
"Dec @@, @@@@"	0.125292
"January @@"	0.124803
"December @."	0.123911
"Jan @@, @@@@"	0.123487
"Nov @@, @@@@"	0.122365
"Oct @, @@@@"	0.122159
"September @@"	0.121418
"February @."	0.120058
"August @."	0.118975
"Aug @, @@@@"	0.118835
"May @@"	0.115217
"November @@"	0.113837
"March @@"	0.113605
"July @@"	0.112337
"Aug @@"	0.111519
"February @@"	0.111334
"May @"	0.110653
"May @."	0.110567
"April @@"	0.109652
"June @@"	0.109504
"November @"	0.107765
"October @."	0.107683
"January @, @@@@"	0.106214
"February @"	0.104779
"June @"	0.104089
"August @"	0.103252
"November @."	0.102642
"September @."	0.102094
"Jan @@"	0.101609
"Feb. @."	0.100712
"September @"	0.100604
"June @."	0.100471
"July @."	0.10037
"April @"	0.0983465
"April @."	0.0969432
"Oct @@"	0.0968019
"Nov @@"	0.0937694
"July @"	0.0923989
"October @"	0.0875902
"Dec @, @@@@"	0.0871609
"Jan @, @@@@"	0.085612
"March @."	0.0834833
"January @"	0.0824775
"Sept @@"	0.0811224
"Jan. @."	0.0807295
"Dec @@"	0.0799415
"March @"	0.0795198
"December @"	0.0789877
"Feb @"	0.078366
"Feb @@"	0.0759325
"New Year's Day"	0.074795
"Dec @"	0.0741909
"Oct. @."	0.0737441
"Aug @"	0.0725565
"April @@-@@"	0.0704994
"Oct @"	0.0683095
"Sept. @."	0.0681826
"Jan @"	0.0672251
"Aug. @."	0.0670716
"Nov @"	0.0653795
"December @@-@@"	0.0635731
"Dec. @."	0.0630547
"July @@-@@"	0.0603587
"Christmas Day"	0.0595555
"Sept @"	0.0589648
"February @-@"	0.0588926
"Nov. @."	0.0581717
"June @@-@@"	0.0580128
"September @@-@@"	0.0553373
"October @@-@@"	0.0550414
"Christmas Eve"	0.054924
"January @@-@@"	0.0545393
"March @@-@@"	0.0522692
"November @-@@"	0.0514756
"May @@-@@"	0.0478803
"Oct @@-@@"	0.0459517
"March @-@@"	0.0458682
"Good Friday"	0.045579
"Easter Sunday"	0.0455258
"August @@-@@"	0.0449351
"Aug. @@"	0.0439198
outskirt	0.0428828
"November @@-@@"	0.0425467
"Fourth of July"	0.0424193
))
("August @@-@@" (desc 5167.61) (sims
"January @@-@@"	0.301752
"September @@-@@"	0.301635
"November @@-@@"	0.28371
"October @@-@@"	0.277998
"March @@-@@"	0.276462
"June @-@@"	0.272002
"April @@-@@"	0.259437
"December @-@@"	0.259222
"July @@-@@"	0.245985
"May @@-@@"	0.23315
"February @@-@@"	0.225893
"June @@-@@"	0.223508
"April @-@@"	0.215479
"December @@-@@"	0.209338
"July @-@@"	0.191292
"September @-@@"	0.177278
"March @-@@"	0.169669
"March @-@"	0.169518
"November @-@@"	0.160913
"September @@"	0.155184
"September @"	0.153658
"August @@"	0.151052
"December @-@"	0.149757
"November @@"	0.146171
"December @"	0.145688
"October @@"	0.144928
"Oct @@-@@"	0.143684
"February @@"	0.139453
"January @@"	0.136617
"February @"	0.136143
"May @-@"	0.13165
"April @-@"	0.126403
"April @@"	0.124791
"November @"	0.124465
"December @@"	0.122569
"Nov @@-@@"	0.122048
"May @-@@"	0.118147
"July @@"	0.117132
"April @"	0.116376
"December @."	0.115241
"October @"	0.114201
"November @-@"	0.113613
"Aug @@-@@"	0.112384
"November @."	0.111058
"September @-@"	0.108811
"October @-@"	0.10706
"May @@"	0.106541
"June @@"	0.105877
"June @"	0.105681
"October @."	0.10419
"Jan @@-@@"	0.103651
"March @@"	0.102644
"March @"	0.102065
"February @-@"	0.0969369
"September @."	0.0954135
"July @"	0.0943624
"January @"	0.0943552
"February @."	0.0931724
"August @"	0.092184
"July @."	0.0907035
"May @"	0.0902628
"Feb @@-@@"	0.0884142
"August @."	0.0872745
"March @."	0.0857149
"Dec. @."	0.0844046
"Feb @@"	0.0825971
"Sept @@-@@"	0.0801939
"Aug @@"	0.0786176
"July @-@"	0.0785383
"Dec @@-@@"	0.0776203
"June @."	0.077358
"April @."	0.0769006
"May @."	0.0734716
"Dec @"	0.071933
"June @-@"	0.0685084
"Sept @@"	0.0682308
"Nov @@"	0.0676728
"Feb @"	0.0675327
"October @@, @@@@"	0.0668743
"February @@, @@@@"	0.0666134
"Jan @@"	0.0665981
"Oct @"	0.0647062
"December @@, @@@@"	0.0641731
"Oct. @."	0.0622843
"Sept @"	0.061061
"Feb. @."	0.0601439
"January @@, @@@@"	0.0581726
"February @, @@@@"	0.0572297
"January @."	0.0568306
"Nov @"	0.0548025
"September @@, @@@@"	0.0547673
"November @@, @@@@"	0.0537938
"October @, @@@@"	0.0534722
ten-day	0.0527241
"over three days"	0.0520731
"Nov. @."	0.0518499
"September @, @@@@"	0.0515422
"December @, @@@@"	0.0504838
"Sept. @."	0.0501053
mid-September	0.0488934
"Hopman Cup"	0.0484477
"over @@ days"	0.0481842
"January @, @@@@"	0.0472129
"about three weeks ago"	0.0458979
"August @@, @@@@"	0.0449351
"June @, @@@@"	0.0447957
"July @, @@@@"	0.0432233
"Aug. @@"	0.0423304
"Jan. @."	0.0409773
five-hour	0.0405067
))
("August @@@@" (desc 32859) (sims
"December @@@@"	0.311052
"April @@@@"	0.309141
"October @@@@"	0.305836
"February @@@@"	0.30126
"September @@@@"	0.292782
"March @@@@"	0.292237
"June @@@@"	0.290733
"January @@@@"	0.287729
"November @@@@"	0.286352
"May @@@@"	0.281924
"July @@@@"	0.278349
August	0.203789
February	0.19902
January	0.196166
April	0.190246
July	0.189968
October	0.1856
December	0.180286
September	0.179132
may	0.178289
November	0.175247
June	0.175129
"late @@@@"	0.165999
"April, @@@@"	0.149791
March	0.14787
"July, @@@@"	0.139269
"May, @@@@"	0.133949
"October, @@@@"	0.129863
"August, @@@@"	0.124892
"June, @@@@"	0.117406
"January, @@@@"	0.116944
mid-May	0.111973
mid-October	0.110899
mid-August	0.106919
"November, @@@@"	0.10608
"March, @@@@"	0.104601
"September, @@@@"	0.0999884
mid-January	0.0996029
Mid-February	0.0958913
"late @@@@s"	0.0934977
"December, @@@@"	0.0926813
mid-December	0.0916765
mid-November	0.0907616
mid-July	0.0897107
mid-April	0.087593
mid-@@@@	0.0863082
mid-September	0.0860317
"February, @@@@"	0.0788416
Spring	0.0788384
mid-June	0.0782757
mid-March	0.0740421
"first week"	0.0707556
"Aug @"	0.070715
"first quarter"	0.0692671
mid-@@@@s	0.0692637
autumn	0.0679175
summer	0.066294
"Jan @@"	0.0642002
"second quarter"	0.0638483
"Aug @@"	0.0632473
"Oct @@"	0.0625224
"third quarter"	0.0618267
"June @@"	0.0617889
"May @@"	0.0599835
"first half"	0.0596899
"Feb @@"	0.0593829
"April @@"	0.0574269
"July @"	0.057392
"July @@"	0.0572167
"Nov @@"	0.0565646
"June @"	0.0563982
"March @@"	0.0557402
"Dec @@"	0.0541506
wake	0.0535934
"fiscal @@@@"	0.0533488
"Nov @"	0.0527152
"April @"	0.0524738
"January @@"	0.0516548
"Sept @@"	0.050581
"second half"	0.0505279
"May @"	0.0504703
accordance	0.0499331
"first six months"	0.049536
"June @@, @@@@"	0.0488774
"Jan @"	0.0486898
"Dec @@, @@@@"	0.0484212
"Oct @"	0.0471891
"Sept @"	0.0460774
"August @@"	0.0457691
"Dec @"	0.0448478
predawn	0.044407
"October @@"	0.0437471
"December @@"	0.0437439
"August @"	0.0432242
aftermath	0.0430311
"first nine months"	0.0429166
l@@@	0.0428537
"March @@, @@@@"	0.04272
"Feb @"	0.0427058
winter	0.0414286
Lusaka	0.0412644
"February @@"	0.0407691
"Jan @, @@@@"	0.040703
"next two months"	0.0403164
"March @"	0.04029
"first seven months"	0.040134
"first five months"	0.0400672
))
("August, @@@@" (desc 2282.09) (sims
"April, @@@@"	0.151644
"October, @@@@"	0.149672
"May, @@@@"	0.148091
"June, @@@@"	0.140337
"January, @@@@"	0.130605
"December, @@@@"	0.127664
"August @@@@"	0.124892
"March, @@@@"	0.119093
"July @@@@"	0.107241
"October @@@@"	0.10419
"June @@@@"	0.102059
"November, @@@@"	0.0967752
"February @@@@"	0.0942729
"April @@@@"	0.0916158
"December @@@@"	0.091308
"September @@@@"	0.0911598
"May @@@@"	0.0887973
"September, @@@@"	0.088357
"July, @@@@"	0.0874243
"February, @@@@"	0.0848025
"November @@@@"	0.0838929
l@@@	0.082081
"January @@@@"	0.081694
"March @@@@"	0.0764965
mid-May	0.0711872
"late @@@@"	0.0680056
mid-December	0.0648489
Bloemfontein	0.0641864
mid-March	0.0631307
mid-August	0.0599948
mid-April	0.0550992
mid-October	0.0531624
mid-September	0.0507207
mid-June	0.0437048
"third week"	0.0432752
"first century"	0.0427553
Penang	0.0425224
"Banja Luka"	0.0412857
Evanston	0.0411753
Mid-February	0.0407898
))
(Augusta (desc 14989.4) (sims
"Augusta National"	0.203831
"Pebble Beach"	0.170379
Pinehurst	0.147172
"St. Andrews"	0.140979
Macon	0.13195
Carnoustie	0.12823
Sahalee	0.124173
"Royal Birkdale"	0.123535
Savannah	0.116085
Americus	0.111886
"Pinehurst No. @"	0.111385
Valhalla	0.107861
Masters	0.106214
Columbus	0.103626
Akron	0.103533
"Augusta National Golf Club"	0.101777
"East Lake"	0.101519
"Loch Lomond"	0.0990946
Riviera	0.0988512
Gainesville	0.0986299
"Olympic Club"	0.098338
Brunswick	0.0978145
Greenville	0.0972299
"Stone Mountain"	0.0963349
"country club"	0.0955934
Omaha	0.0941396
Tucson	0.0938388
"West Palm Beach"	0.0929386
Charleston	0.0923659
Morristown	0.0920469
Syracuse	0.0911335
Tampa	0.0905697
"Memorial Tournament"	0.0904084
Richmond	0.0897864
"New Haven"	0.0897219
Indianapolis	0.0891166
"U.S. Open"	0.0885216
"Bay Hill"	0.0884488
ASHEVILLE	0.0883794
"Riviera Country Club"	0.0881427
Indy	0.0878526
Albany	0.0876676
Orlando	0.0864803
"Long Beach"	0.0864727
"New Orleans"	0.0854519
Bangor	0.0853827
Birmingham	0.0853519
Phoenix	0.0853161
"St. Petersburg"	0.0850749
"Fort Worth"	0.0849463
Wilmington	0.0847097
Knoxville	0.0842378
"Oklahoma City"	0.0838209
Chattanooga	0.0836527
"San Antonio"	0.0835217
Louisville	0.0834114
Memphis	0.0833649
"East St. Louis"	0.0833294
Honolulu	0.082876
Shreveport	0.0827633
Jacksonville	0.0825405
Minneapolis	0.0825091
"Fort Lauderdale"	0.0819572
Elmira	0.081843
"San Diego"	0.0817279
Decatur	0.0815868
"Little Rock"	0.0812029
Hartford	0.0809348
Nashville	0.0802688
"PGA Championship"	0.0798427
Duluth	0.0797858
Lubbock	0.0796108
Flagstaff	0.0794029
Hanover	0.0791134
"St. Paul"	0.0789165
TPC	0.0787595
Wichita	0.0786513
Newark	0.0782772
Martinsville	0.0782048
Atlanta	0.0780758
Albuquerque	0.0779742
"Kansas City"	0.0778466
"Las Vegas"	0.0778123
Spokane	0.0775084
Daytona	0.0774363
Portland	0.0770407
Bristol	0.0770005
Austin	0.0768225
Topeka	0.0767518
Pasadena	0.0763133
"Des Moines"	0.0757105
Medinah	0.0756948
Waco	0.075295
Tempe	0.0751527
"British Open"	0.0750485
Dover	0.0750007
Denver	0.0749574
Brookline	0.0746946
Sacramento	0.074611
Rochester	0.074425
Fresno	0.0741746
"El Paso"	0.0740432
Springfield	0.0740078
"Corpus Christi"	0.0739999
anchorage	0.0739558
Lawrenceville	0.0736278
"Key West"	0.0734697
Raleigh	0.073454
Houston	0.0733999
Falmouth	0.0724628
Worcester	0.0724484
Madison	0.0723947
TALLAHASSEE	0.0722946
Brownsville	0.0722309
Spyglass	0.0722223
Milwaukee	0.0721768
Philadelphia	0.0721529
Cleveland	0.0720316
Naples	0.0716878
Charlotte	0.07166
"Los Angeles"	0.0715733
Providence	0.071548
"Myrtle Beach"	0.0714655
Pittsburgh	0.0714147
LaGrange	0.0713711
Belfry	0.0711997
"Chapel Hill"	0.0711976
Baltimore	0.071176
Alpharetta	0.071102
Boise	0.0709727
Pir	0.0706441
Camden	0.0705912
Greensboro	0.070481
Dunwoody	0.0701945
Dayton	0.070172
Wimbledon	0.0697862
ATHENS	0.0697001
Cincinnati	0.0696544
Yonkers	0.0694888
Montgomery	0.0688672
"Vero Beach"	0.0688401
"Manhattan Beach"	0.0687151
Arlington	0.0686779
LAKEWOOD	0.0686256
Miami	0.0685315
"Palm Springs"	0.0685299
"St. Louis"	0.0684826
Scottsdale	0.0684505
"San Francisco"	0.0683858
Sarasota	0.0683796
Huntsville	0.0683309
"Santa Cruz"	0.067617
Hillsboro	0.0674401
Boston	0.0674129
PALERMO	0.0674084
Concord	0.0673897
"Fort Myers"	0.0673263
Newport	0.0673137
"Atlantic City"	0.0671847
"Palm Beach Gardens"	0.0671263
Detroit	0.0671191
"Indian Wells"	0.0670945
Freeport	0.0670814
Tulsa	0.0669957
Harrisburg	0.0669233
Port-au-Prince	0.0666328
"San Jose"	0.0665704
Beaumont	0.0665473
"Jersey City"	0.0664197
"Panama City"	0.0663279
"Delray Beach"	0.0662815
Dallas	0.0662728
midland	0.0662234
Thomasville	0.0662208
Youngstown	0.0662204
Cooperstown	0.0662118
Tijuana	0.0661819
"Sahalee Country Club"	0.0661771
Utica	0.0661549
"Crystal City"	0.0661311
"Santa Fe"	0.06598
Auburn	0.0659456
Waterville	0.0659295
Abilene	0.0659292
Toronto	0.0658607
Pensacola	0.0656558
"Overland Park"	0.0655447
Guadalajara	0.0653423
Pittsfield	0.0653205
Dublin	0.0653145
BOGOTA	0.0652862
MELBOURNE	0.0649498
"Santo Domingo"	0.0648375
"New York City"	0.0648135
"San Juan"	0.0646877
"Players Championship"	0.0646127
Montreal	0.0645245
Colonial	0.0644298
"Baton Rouge"	0.0643764
Amarillo	0.0642696
))
("Augusta National" (desc 8531.54) (sims
Augusta	0.203831
"Pebble Beach"	0.18062
Pinehurst	0.173479
"Augusta National Golf Club"	0.169075
"Royal Birkdale"	0.155896
"Pinehurst No. @"	0.153757
Valhalla	0.149993
Carnoustie	0.145598
Sahalee	0.144017
"St. Andrews"	0.140488
"Olympic Club"	0.140449
"East Lake"	0.136712
"country club"	0.130031
Riviera	0.120033
"Riviera Country Club"	0.112174
Spyglass	0.107872
TPC	0.107604
"Sahalee Country Club"	0.101229
"Old Course"	0.0981279
Masters	0.0970466
"Bay Hill"	0.0923528
Oakmont	0.0916347
"Memorial Tournament"	0.0893867
"Roland Garros"	0.0884773
"Mastercard Colonial"	0.0863586
"U.S. Open"	0.0822216
"British Open"	0.0820681
Medinah	0.0781178
Colonial	0.0765802
"Dodger Stadium"	0.0762765
"LA COSTA"	0.0747684
"Pro Player Stadium"	0.073665
"Western Open"	0.0734808
"Shea Stadium"	0.0734452
"Turner Field"	0.0702157
"Mile High Stadium"	0.0673004
"Loch Lomond"	0.0670207
Longwood	0.0661184
"Melbourne Park"	0.0650634
"Wrigley Field"	0.0641153
Pir	0.0632218
"Yankee Stadium"	0.062985
"Champions Golf Club"	0.0627797
Fenway	0.0616882
Wimbledon	0.0615098
Doral	0.0613392
Pocono	0.0605318
"Comiskey Park"	0.0601891
Indy	0.0600208
"PGA Championship"	0.0596987
"Oak Hill"	0.059423
"Carnegie Hall"	0.0590787
"Busch Stadium"	0.0585161
"Compaq Center"	0.0574776
"Valley Ranch"	0.0574257
"Buick Invitational"	0.0572359
PGA	0.0570918
"golf course"	0.0570376
"Indian Wells"	0.0564806
"Players Championship"	0.0563775
"US Open"	0.0561214
"Cinergy Field"	0.0558296
Belfry	0.0547073
"Fenway Park"	0.0546022
par-@@	0.0542497
"Reunion Arena"	0.0542318
"Barcelona Games"	0.0541979
"Pacific Bell Park"	0.0539331
Valderrama	0.0538865
"Giants Stadium"	0.0537967
"Belmont Park"	0.0535521
"Coors Field"	0.0533053
"Buick Classic"	0.0530527
"United Center"	0.0528235
par-@	0.0526442
"Arrowhead Stadium"	0.0522663
Shea	0.0520726
"Pleasant Valley"	0.0520088
Astrodome	0.051821
Bristol	0.0515921
"Texas Stadium"	0.0515879
"Foxboro Stadium"	0.05151
"Sears Point"	0.0514216
"Camp David"	0.0513492
"Banking Committee"	0.0513437
"Tropicana Field"	0.0511917
"Veterans Stadium"	0.0511071
"Pikes Peak"	0.0507363
"Camden Yards"	0.0506227
"Churchill Downs"	0.050436
"Bangkok Asian Games"	0.0503829
"America West Arena"	0.0502975
Daytona	0.0502827
Eastbourne	0.049717
"Edison Field"	0.0491825
"New York City Opera"	0.0484628
NHIS	0.04833
SkyDome	0.0480524
"La Scala"	0.048022
"County Stadium"	0.0478182
Brookline	0.0469854
"England Club"	0.0465389
"National Tennis Center"	0.0463626
Tanglewood	0.0463131
"RFK Stadium"	0.0463103
"Qualcomm Stadium"	0.046288
Meadowlands	0.0462374
"United States Open"	0.045794
"stroke play"	0.0453516
pebble	0.0452235
"Grand Ole Opry"	0.0450687
KPU	0.0450195
Ballpark	0.0444968
Kingdome	0.0442214
AmCham	0.0438608
CEC	0.0438378
"Cotton Bowl"	0.0437174
"Longwood Cricket Club"	0.0435752
"Australian Open"	0.0435559
"Joyce Theater"	0.0433926
"Old Trafford"	0.0431511
"Delta Center"	0.0431052
"Texas Motor Speedway"	0.0430595
NCAAs	0.0430321
"Rules Committee"	0.0429263
NSC	0.0428961
FleetCenter	0.042881
Callaway	0.0427747
"Tiger Stadium"	0.0425843
"Sweet @@"	0.0425661
"French Open"	0.0425584
"Rivers Stadium"	0.042533
"Lipton Championships"	0.0424662
"Ryder Cup"	0.0423592
"BellSouth Classic"	0.0423505
"Georgia Dome"	0.0422982
"Olympic Trials"	0.0422489
"Pauley Pavilion"	0.0420452
"House International Relations Committee"	0.0419755
"Lambeau Field"	0.041894
Zhongnanhai	0.0418912
Vail	0.041668
"college level"	0.04145
"Rose Bowl"	0.0410525
"Tour Championship"	0.0408397
KeyArena	0.040618
"Commerce Committee"	0.0405789
"Indianapolis Motor Speedway"	0.0404677
"Watkins Glen"	0.0403506
Highbury	0.0401264
"European Championships"	0.0401197
))
("Augusta National Golf Club" (desc 1775.46) (sims
"Riviera Country Club"	0.20706
"Augusta National"	0.169075
Spyglass	0.127283
"Pinehurst No. @"	0.127267
"Western Open"	0.125283
"Royal Birkdale"	0.123509
"Pebble Beach"	0.118187
Pinehurst	0.107048
"Mastercard Colonial"	0.104227
"Sahalee Country Club"	0.103959
"Champions Golf Club"	0.103143
"St. Andrews"	0.102866
Augusta	0.101777
"country club"	0.100976
"Olympic Club"	0.0987508
TPC	0.0968863
Valhalla	0.095572
"Loch Lomond"	0.0899342
Carnoustie	0.0891727
"LA COSTA"	0.0869584
Sahalee	0.0843473
"Old Course"	0.0836733
"Phoenix Open"	0.0735836
"Buick Invitational"	0.0714246
"Market Square Arena"	0.0677443
"Marine Midland Arena"	0.0676447
"Stade Velodrome"	0.0661045
pebble	0.06558
"Compaq Center"	0.0627679
"Memorial Tournament"	0.0626237
"Indian Wells"	0.062023
Alamodome	0.0600149
"Qualcomm Stadium"	0.0593558
"Miami Arena"	0.0587778
"MCI Center"	0.0579893
Doral	0.0569755
"House International Relations Committee"	0.0569266
"Charlotte Motor Speedway"	0.0566121
Pir	0.0561263
"Walter Reade Theater"	0.0557436
"Ethics Commission"	0.0546251
"Congressional Black Caucus"	0.053257
"New York-New Jersey MetroStars"	0.0530101
"Pac Bell Park"	0.0529562
"Banking Committee"	0.0528488
"Olympic Trials"	0.0527212
"House Budget Committee"	0.0526432
Pocono	0.0519937
"Delta Center"	0.0507319
"Turner Field"	0.0506665
"National Tennis Center"	0.0505707
"Senate Budget Committee"	0.0501166
"Senate Banking Committee"	0.0499452
"RCA Dome"	0.0499087
COMDEX	0.0497112
Riviera	0.0494395
"World Table Tennis Championships"	0.0491159
"about @:@@"	0.0490191
CEC	0.0490181
Medinah	0.0483489
Pimlico	0.0475465
"Sanctions Committee"	0.0473741
"Cinergy Field"	0.0473252
"Valley Ranch"	0.0472549
"Oak Hill"	0.0470575
"Foreign Relations Committee"	0.0468488
"General Committee"	0.0466832
"World Figure Skating Championships"	0.0464248
"Senate Governmental Affairs Committee"	0.0464048
"Pauley Pavilion"	0.0463608
"Kauffman Stadium"	0.0461693
"Council of Economic Advisers"	0.0460443
"Daytona International Speedway"	0.0458225
"NZ First"	0.0457747
"Roland Garros"	0.0457232
"Conseco Fieldhouse"	0.0456769
"Melbourne Park"	0.0454946
"repertory company"	0.0454036
"Players Championship"	0.0453779
"Maple Leaf Gardens"	0.0448986
"County Stadium"	0.0448696
"Las Vegas Motor Speedway"	0.0445802
"Los Angeles City Council"	0.0440185
Southampton	0.0439335
"Longwood Cricket Club"	0.0439329
"Memorial Stadium"	0.0439031
"Senate Commerce Committee"	0.0437955
"Pacific Bell Park"	0.0437219
"Busch Stadium"	0.043578
"Rules Committee"	0.0434414
"Coors Field"	0.0434216
"National Electoral Commission of Nigeria"	0.0432894
"Continental Arena"	0.0432636
"Cotton Bowl"	0.0431301
"English Football Association"	0.043077
"Stamford Bridge"	0.0430537
"Virtue Party"	0.0429077
"Rivers Stadium"	0.042834
"Senate Appropriations Committee"	0.0426603
"Millrose Games"	0.0426528
"Russian Duma"	0.0426368
sawgrass	0.0424857
"Senate Armed Services Committee"	0.0424813
"Cendant Corp."	0.0419879
"UC Irvine"	0.0417944
"Devil Stadium"	0.0417811
Astrodome	0.0416963
"New York Yacht Club"	0.0413538
"Bay Hill"	0.0413416
Oakmont	0.0413057
"World Athletics Championships"	0.0412776
"Mile High Stadium"	0.0412385
Edgbaston	0.0412342
"Comiskey Park"	0.0410658
"Brooklyn Academy of Music"	0.0408793
"Southwest Missouri State"	0.0408571
"Senate Finance Committee"	0.0407949
"America West Arena"	0.0407147
"House Government Reform Committee"	0.0406162
"Edison Field"	0.0403751
"House Banking Committee"	0.0402712
"Philadelphia Orchestra"	0.0401993
"Pepsi Center"	0.0401783
"Dorothy Chandler Pavilion"	0.0401695
"Basketball Championship"	0.0400986
))
(Augustine (desc 2169.52) (sims
Quentin	0.108229
"Francis of Assisi"	0.10111
Denis	0.0906457
Angelo	0.0823288
Vincent	0.0800798
Felipe	0.0758807
Dunne	0.0731052
Galbraith	0.072732
Neely	0.0721381
"Jim Harrick"	0.0684062
Rivlin	0.0681404
Gascoigne	0.0665663
Calloway	0.0665659
Maher	0.064303
Cohn	0.0636313
Ritter	0.0622954
Chappell	0.0620407
Boller	0.0608348
McKenna	0.0606124
Paolo	0.0606004
Benedict	0.0604629
Jude	0.0602635
Menchu	0.0596382
Fyodorov	0.0590631
Mateo	0.0584182
Clemente	0.0582874
Miguel	0.0577976
Schaeffer	0.0571946
Pablo	0.0569314
Ruggiero	0.056328
Rongen	0.056235
Bernard	0.0558899
Rodionov	0.0549973
Hauser	0.0547707
Hagi	0.0546552
Layden	0.0545294
Chevenement	0.0543689
Halberstam	0.053939
DIMON	0.0534728
Milbury	0.0532902
Francois	0.0531137
Ziegler	0.0530565
Zidane	0.0525703
Regis	0.052256
Wendt	0.0521331
Unser	0.0518772
Baum	0.0516498
Michaels	0.0512405
Puzo	0.051163
McIver	0.0511388
Dodik	0.0508448
Collymore	0.050778
"Gore Vidal"	0.0504976
Macoris	0.0504586
Norstrom	0.0502237
Asprilla	0.0498958
Knapp	0.0498098
Mortimer	0.0495734
Bogle	0.0494648
DiCarlo	0.0492759
Coelho	0.0487684
Blackmun	0.0485689
Juma	0.0485122
Sehorn	0.0485078
Metcalf	0.0484589
"John Kelly"	0.0483904
Hindery	0.0482735
Alfredsson	0.0481589
Tapani	0.0481333
Ikimi	0.0479482
Francisco	0.0475198
Zenga	0.0473956
Sihanouk	0.0472425
Switzer	0.0471703
Andre	0.0470575
"Martin Luther King III"	0.0470343
Andres	0.046923
Anthony	0.04685
Kealy	0.0467113
Sebastian	0.046506
"Zvonimir Boban"	0.0464715
Morton	0.0464703
Hurley	0.0464212
Feuer	0.0464112
Yoon	0.0462847
Mackenzie	0.0462596
Kerik	0.0462497
Sheehy	0.0461141
HELLER	0.0460966
"Windrell Hayes"	0.0460423
Cowens	0.0460221
"Bill Skate"	0.0459601
Edelman	0.04589
Krugman	0.0458333
Jayakumar	0.045729
Ditka	0.0456702
Gwen	0.0456339
Northup	0.0454691
Posner	0.0453964
"Mario Stanic"	0.0453639
Imperatori	0.045324
Luke	0.0452573
"St. George"	0.0452079
Lafleur	0.0451825
Grbac	0.0449634
Nilsson	0.044892
Iger	0.0448795
Maldini	0.0448388
Tilberis	0.0448142
Kassirer	0.0447575
Klemperer	0.044741
Dubus	0.0447209
Akers	0.0446138
Torvalds	0.0445725
"Carlos Valderrama"	0.0445348
Spielman	0.0443574
Ramon	0.0438998
Harkes	0.0438043
Louis	0.0437867
Jeremiah	0.0437719
Emerson	0.0436821
Yosef	0.0436722
Romar	0.0436071
Purdy	0.0436017
Soong	0.0435472
Thurber	0.0434212
Garber	0.0433968
Cosell	0.0432884
Kimball	0.0431653
Salinger	0.0431464
Leung	0.0431056
Harr	0.0431056
Joklik	0.0430507
Arbour	0.0430098
Hazen	0.0427394
Ehrlichman	0.0427039
Monson	0.0426828
Bautista	0.0425891
Leventhal	0.042546
Husseini	0.0425257
Voskuhl	0.0425109
Alexie	0.0423877
Theresa	0.0423543
Myhrvold	0.042325
Primeau	0.0423186
Meissner	0.0422278
Coia	0.0421678
Clement	0.0421388
Kirkpatrick	0.0418988
Quackenbush	0.0418535
Shatner	0.0418047
Parrott	0.0418004
Zia	0.0417726
Alarcon	0.0417255
al-Tikriti	0.0417191
Goff	0.0416928
Zamora	0.041663
Nakata	0.0415031
"Scotty Bowman"	0.0414282
Anton	0.0413047
Luis	0.0412531
Schuerholz	0.0411925
P.J	0.0411882
Bulatovic	0.0411469
Rodrigo	0.0411413
Postel	0.0410901
Ruthardt	0.0410302
Burkett	0.0410021
Cleary	0.0409459
Applegate	0.040911
Brokaw	0.0408106
Singson	0.0407487
Whalen	0.0407484
Gowda	0.040728
Bolger	0.0407058
Tarawneh	0.0406943
Robb	0.0406769
Gaston	0.0405922
Anand	0.0405742
Clancy	0.0405214
Murayama	0.040426
Solis	0.0404029
Whyte	0.0401886
Chastain	0.0401646
DiSarcina	0.0401323
Bratton	0.0400885
Kidd	0.0400329
Edmondson	0.0400144
))
("Augusto Pinochet" (desc 16210.1) (sims
Pinochet	0.330235
dictator	0.170449
"Sani Abacha"	0.147922
"Francisco Franco"	0.134793
Ocalan	0.134327
Priebke	0.131643
"Manuel Noriega"	0.12964
"Omar Torrijos"	0.12848
Suharto	0.127124
"Abdullah Ocalan"	0.126047
"Pervez Musharraf"	0.125243
"Mobutu Sese Seko"	0.123535
"Robert Guei"	0.123003
"Sali Berisha"	0.122615
"Hafez Assad"	0.11663
"Abdulsalami Abubakar"	0.110326
Ntuyahaga	0.108727
"Slobodan Milosevic"	0.108482
Kaunda	0.105533
"Anwar Ibrahim"	0.100565
Shayler	0.0993693
"Idi Amin"	0.0992002
Sankoh	0.0985218
"Pervaiz Musharraf"	0.0982538
"Iranian Jews"	0.0937833
Sheinbein	0.0936744
"Wen Ho Lee"	0.0934864
"Ferdinand Marcos"	0.0930636
Berisha	0.0928644
"Olusegun Obasanjo"	0.0926039
Soeharto	0.0905808
"Abdulsalam Abubakar"	0.0902876
Karbaschi	0.0901217
"Fidel Castro"	0.0880617
Papon	0.0878964
"Ta Mok"	0.0868326
"Aung San Suu Kyi"	0.0860063
"Moammar Gadhafi"	0.0843968
Lazarenko	0.084396
"Xanana Gusmao"	0.0815488
"Foday Sankoh"	0.0814768
Anwar	0.0810965
"Johnny Paul Koroma"	0.0804846
Pollard	0.0800673
Cavallo	0.0792109
"Pierre Buyoya"	0.0791837
Sakic	0.0786925
Mobutu	0.0783748
"Kim Il Sung"	0.0783329
Gusinsky	0.0782682
Lileikis	0.0777111
"Jonathan Pollard"	0.077323
Libyan	0.0772838
Ntakirutimana	0.0771893
"Ruiz Massieu"	0.0771272
Agca	0.076981
"Iranian POWs"	0.0769699
"Roosevelt Johnson"	0.0756566
Buyoya	0.0755923
Koroma	0.0754653
Kiareldeen	0.0751253
Faulder	0.0750951
Abacha	0.0748913
"Lino Oviedo"	0.0742041
"Radovan Karadzic"	0.0733214
Hofer	0.0715851
Gotti	0.0713812
Trantino	0.0707436
Babitsky	0.0706101
Skakel	0.0704722
chun	0.0703299
Rao	0.0702104
"Dinko Sakic"	0.0699562
Al-Amin	0.0697033
Hubbell	0.0692161
defendant	0.0691324
"Saddam Hussein"	0.0684251
Gusmao	0.0683152
Einhorn	0.0682467
"Louise Woodward"	0.0675207
"Khun Sa"	0.0667342
Noriega	0.0666438
Nikitin	0.0666289
Ershad	0.0663745
leeson	0.0663182
"Susan McDougal"	0.0660995
Yassin	0.0658005
"Raul Salinas"	0.064716
Cisneros	0.0645256
"Webster Hubbell"	0.064514
Berenson	0.0643996
extradition	0.0636951
"Sam Rainsy"	0.0636882
"Kim Jong Il"	0.0636607
Laden	0.0633583
Kalejs	0.0632518
Oviedo	0.0629104
"Moshood Abiola"	0.0626817
Harris-Lewis	0.0623585
Lee	0.06229
McDougal	0.0621101
"Pol Pot"	0.0617582
Karadzic	0.0612675
"Ayatollah Ruhollah Khomeini"	0.0611619
"William Hague"	0.0608031
"Ayatollah Ali Khamenei"	0.0607495
Kodikian	0.0606887
"Franjo Tudjman"	0.0605567
"Hun Sen"	0.0600424
Sebaggala	0.0600024
Milosevic	0.0599522
"Chavalit Yongchaiyudh"	0.0596668
Yazdi	0.0590908
"Iraqi POWs"	0.0590697
Saddam	0.0590208
Yeltsin	0.058811
"war criminal"	0.0588002
Ibrahim	0.0584853
"Ratko Mladic"	0.0577095
Osama	0.0575906
"Aryeh Deri"	0.0574618
"Oladipo Diya"	0.0574445
Xanana	0.0574054
Salinas	0.0573888
Trie	0.0570451
Frankel	0.0567725
dissident	0.0567514
"Benazir Bhutto"	0.0566064
Sharif	0.0565945
"Jean-Marie Le Pen"	0.0562574
Kai-shek	0.05621
"Laurent Kabila"	0.0561202
el-Bashir	0.0559484
"Josef Stalin"	0.0559464
"Alexander Lukashenko"	0.0559309
"Mohamed Siad Barre"	0.0558999
"Rashid Dostum"	0.055795
"Charles de Gaulle"	0.0556331
"George Speight"	0.0556148
Speight	0.0555235
"Khaleda Zia"	0.0555232
Abiola	0.0553912
Bove	0.0552475
Alves	0.055106
Kabila	0.0550205
Resendez-Ramirez	0.0550071
Kimeses	0.0548797
Swango	0.0546761
"Necmettin Erbakan"	0.0545913
"Sonia Gandhi"	0.0545253
"Aslan Maskhadov"	0.0544619
"Maturino Resendiz"	0.0542575
"political prisoner"	0.0540997
Flemmi	0.0540866
Montesinos	0.0540619
detainee	0.0538381
Duvalier	0.0535812
"Nawaz Sharif"	0.053448
"Vladimir Meciar"	0.0534216
Tripp	0.0534147
"Suu Kyi"	0.053264
"Del Toro"	0.0530385
"Mike Espy"	0.0529527
"Mikhail Gorbachev"	0.0528411
Imperatori	0.0526624
Aristide	0.052625
Ahmed	0.0520997
Kazhegeldin	0.0520654
Castro	0.052055
junta	0.0520273
Neulander	0.0518618
Demjanjuk	0.0518246
Stayner	0.0518074
Mitnick	0.0517586
Nasrin	0.0513583
Franco	0.0511226
"Than Shwe"	0.0511016
"army officer"	0.0510333
immunity	0.0508164
Fagan	0.0507004
Kaczynski	0.0504414
strongman	0.0504328
Cayugas	0.050318
"Charles Taylor"	0.0502193
perpetrator	0.0500033
"Benjamin Netanyahu"	0.0499322
"political detainee"	0.0499254
Sheik	0.0497319
"Fatos Nano"	0.0496424
Woodward	0.0495957
Tyson	0.0494271
Musharraf	0.0494079
Wiranto	0.0494072
Bedie	0.0492075
"Deve Gowda"	0.0491766
"Ali Mahdi Mohamed"	0.0491741
"Wang Youcai"	0.0488635
shah	0.0488561
Obasanjo	0.0488118
accused	0.0487837
))
(AUM (desc 1275.94) (sims
"Aum Shinrikyo"	0.241559
"Branch Davidian"	0.183204
Davidian	0.149051
Falun	0.134362
NCEC	0.118438
Hasidic	0.114505
doomsday	0.110972
Kozeny	0.110184
Giacchetto	0.108281
CUF	0.10215
KNU	0.0964172
"Republican House"	0.0934914
"Aryan Nations"	0.09335
Callaghan	0.091922
"Falun Gong"	0.0918998
DLC	0.0842061
DAP	0.0830805
"NZ First"	0.0828792
MDC	0.0825625
Ghani	0.0811518
UUP	0.080946
Gong	0.0793742
PCF	0.0791853
Piggie	0.0788328
"American Family Publishers"	0.078466
"Aetna U.S. Healthcare"	0.0774759
Conley	0.0769234
PNP	0.0768109
"Islamic Jihad"	0.07671
"Christian Democrat"	0.0754599
Blackthorne	0.0747577
RJR	0.0745091
Inkatha	0.0740257
"British government"	0.0736956
"Charles Manson"	0.0736924
NLD	0.0732821
Agca	0.0728654
Lakas	0.0727832
MQM	0.0725921
OPM	0.0724876
Trevi	0.0716828
"Russell Peeler"	0.0716409
Transamerica	0.0713394
IAI	0.0712872
PDP	0.0700296
Riady	0.0697686
Idris	0.0696124
"House GOP"	0.0696116
Taleban	0.0696105
UNIP	0.0693012
"Operation Lifeline Sudan"	0.0689363
PDI	0.0685048
UMNO	0.0684932
PICC	0.0683918
"Bosnian Muslim"	0.0682976
RNC	0.0682627
SDLP	0.0681638
Manbar	0.0681542
heretic	0.0679942
NU	0.0676601
CSC	0.0675305
"Black Panther"	0.066972
DPP	0.0668817
"Papa John"	0.0668613
Quokka	0.0667503
"Operation Rescue"	0.0667479
"U.S. Administration"	0.0667197
Kalejs	0.0665873
Nikitin	0.0664701
CellPro	0.0663089
"Labour Party"	0.0662885
Gilead	0.0660099
SDS	0.0658351
RUC	0.0654799
"Tibetan Buddhist"	0.0653913
UDM	0.0653015
"Publishers Clearing House"	0.0651833
"Met Life"	0.064762
AHP	0.0642733
NDF	0.0642663
STARMEDIA	0.0639229
Hoke	0.0637204
Demjanjuk	0.0636996
CEC	0.0636964
Mikhailov	0.06368
IFP	0.0636217
Gesher	0.0635788
Borodin	0.0634228
AIG	0.0633602
MTA	0.0632543
"Real IRA"	0.0632512
FOMC	0.0625665
Clare	0.0621272
Scientology	0.0620161
Noriega	0.0619647
"about @@@ to @@@"	0.0617716
Yukos	0.0616641
"Ku Klux Klan"	0.0616071
leeson	0.0614968
"one of the boys"	0.0614342
UNP	0.0613617
MKO	0.0613499
Occidental	0.0613183
WEF	0.0612361
"up to seven"	0.0612148
Imperatori	0.0606106
Sanyo	0.0602286
MMD	0.060216
PLN	0.0602139
Hsia	0.0601399
Quackenbush	0.0597249
"South African National Defense Force"	0.0597159
Hage	0.0596182
"Senate Republican"	0.0596166
"Big Tobacco"	0.059448
"Ruiz Massieu"	0.0592638
Papon	0.0590641
"New Age"	0.0590483
Otpor	0.0588606
Swango	0.0587949
Sunni	0.0587462
Lilco	0.058697
NRM	0.0584814
"Los Angeles City Council"	0.0584614
Pagones	0.0584478
Forty-two	0.0584382
Boesak	0.0584287
Haouari	0.0583701
hardline	0.0582396
ITT	0.058181
"Janata Dal"	0.0581272
"Shas Party"	0.057807
"Canadian Alliance"	0.0577943
"Delta Force"	0.0577777
AFA	0.0577469
"Sunni Muslim"	0.0576763
NASD	0.0576173
All-Tech	0.0576082
UAW	0.0575803
"Kenyan Government"	0.0575255
GSS	0.0574847
"Pacific Century"	0.0574606
EPR	0.0574114
Musa	0.0571808
"Israeli Arab"	0.0571505
Schmitz	0.0571338
INRO	0.0570643
Kagalovsky	0.056719
RP	0.0565213
FP	0.056406
Klan	0.0563272
Isis	0.0562203
"Radical Party"	0.0561765
Qigong	0.0561613
Kimeses	0.0560017
IDT	0.0559481
triad	0.0559023
Gusinsky	0.0557407
Histadrut	0.055734
Tory	0.0556195
Alma	0.0556056
Gitic	0.0556047
Mokhehle	0.0555799
Princeville	0.055539
"Medical Society"	0.0554355
Druckenmiller	0.0553266
Fatah	0.055293
Providian	0.0552838
"Big West"	0.0551204
Tropicana	0.0550421
ABRI	0.0550081
UTC	0.054933
Americorps	0.0548009
USEC	0.0547896
Shayler	0.0547808
AmCham	0.0547799
Frankel	0.0545617
CWA	0.0544099
"Republican Guard"	0.0542393
"Kenya Airways"	0.0541313
Google	0.0541018
Pirro	0.0540432
Westinghouse	0.0538911
FALN	0.053818
decontamination	0.0538138
BSA	0.0537577
Kulikov	0.0537573
SPS	0.0537033
CPP	0.0535939
"Ulster Unionist"	0.0535934
BNP	0.0535835
UDF	0.0535078
"Likud Party"	0.0534882
Koop	0.053441
Goldin	0.0534191
"Olympic Committee"	0.0533868
Kimbell	0.0532409
eco	0.0531907
Amato	0.0531677
JPL	0.053145
))
("Aum Shinrikyo" (desc 1810.11) (sims
AUM	0.241559
"Branch Davidian"	0.135181
"Islamic Jihad"	0.12923
"Falun Gong"	0.12279
Falun	0.10775
doomsday	0.105616
"Aryan Nations"	0.100781
Scientology	0.100667
FALN	0.100627
Hasidic	0.0988626
Davidian	0.0977494
KNU	0.0919234
EPR	0.0911748
"Muslim Brotherhood"	0.0871608
"Operation Rescue"	0.0855606
"Real IRA"	0.0816466
Sunni	0.0813636
Otpor	0.0805304
MKO	0.0793418
mujahedeen	0.0790652
cultist	0.0784385
Wahhabis	0.0780092
Amal	0.0771968
heretic	0.0767068
"Sunni Muslim"	0.0765089
"Congressional Black Caucus"	0.0737827
"Thomson CSF"	0.0736392
Arab-American	0.0735667
"Ku Klux Klan"	0.0724446
Elf-Aquitaine	0.071841
GIA	0.0707191
"Families USA"	0.0705712
"China Democracy Party"	0.0699671
"Tibetan Buddhist"	0.0698095
"Armed Islamic Group"	0.0693305
Mensa	0.0684896
Menudo	0.0683545
supremacist	0.0679806
"Ten Commandments"	0.0669765
OPM	0.0665051
"World Church"	0.0658302
"Monetary Policy Committee"	0.0656299
"Shas Party"	0.0651168
"Business Council"	0.0644632
"Islamic Movement"	0.0644164
"District Council"	0.0638665
"Charles Manson"	0.0635238
"Abu Sayyaf"	0.0632412
Shiite	0.0632246
AARP	0.0632083
MRTA	0.0631441
yakuza	0.0631166
"PLO Executive Committee"	0.0628832
"Nahdlatul Ulama"	0.0628625
WNBF	0.0628384
Greenpeace	0.0625885
ETA	0.0620639
"National Front"	0.0617149
"Self-Defense Forces"	0.0611894
"Abu Nidal"	0.0609193
"Operation Lifeline Sudan"	0.0607911
"secret society"	0.0606165
reactionary	0.0602141
RCD	0.05978
"machinists union"	0.0596769
Qigong	0.0596208
SDS	0.0591414
"Public Citizen"	0.0590513
Klan	0.0588768
BSF	0.0580465
"National Liberation Army"	0.0578173
"Pan Africanist Congress"	0.0577082
NPA	0.0570903
"Caribbean Community"	0.0566309
KKK	0.0566245
"NZ First"	0.0563884
neo-Nazi	0.0561328
"contagious disease"	0.0559235
"repertory company"	0.0558724
"Republican House"	0.055556
"Radical Party"	0.0554258
"Red Army"	0.0553836
"Alcoholics Anonymous"	0.0552645
Phish	0.0545322
"Sam Rainsy Party"	0.0545277
"Labour Party"	0.053979
"US House"	0.0539202
"Jehovah's Witness"	0.0536081
eco	0.0536074
sorority	0.0533581
"Andean Group"	0.0529884
"National Democratic Alliance"	0.0528192
"Indonesian Armed Forces"	0.052818
"Judicial Watch"	0.0527789
"corporate investor"	0.0523886
"Electronic Privacy Information Center"	0.0523522
"Popular Party"	0.0523272
"Revolutionary United Front"	0.0522845
anarchist	0.0522003
"Vietnamese Communist Party"	0.0521507
"old guard"	0.0520802
"Damascus Declaration"	0.0519856
"Lebanese Hezbollah"	0.0519345
brotherhood	0.0517228
"New Aspiration Party"	0.0517172
"Center Party"	0.0515445
RUF	0.0515318
DAP	0.0515071
Taleban	0.0514793
Fatah	0.0513313
"South African Communist Party"	0.0510903
"Tupac Amaru Revolutionary Movement"	0.051082
"Princess Mononoke"	0.0510317
"slide rule"	0.0509659
"Meretz Party"	0.0508375
Lakas	0.0508225
"British Parliament"	0.0507888
Laban	0.0505684
MQM	0.0505568
CMAG	0.0505495
Internet@	0.0505124
"Violence Policy Center"	0.0502256
BSA	0.0501502
"Street Crime Unit"	0.0499707
AXA	0.0499384
"musical group"	0.0494722
Lagardere	0.049389
Totalfina	0.0492734
"Common Cause"	0.0490727
FARC	0.049071
"Recording Industry Association of America"	0.0487661
"Texas Supreme Court"	0.0486878
contras	0.0483997
"Handgun Control Inc."	0.0483976
"Iraqi National Congress"	0.0483924
Arianespace	0.048385
PETA	0.0482303
"Paris Club"	0.0481225
CCF	0.0480764
"Moro National Liberation Front"	0.0479673
"National League for Democracy"	0.0477479
"Wine Institute"	0.0476865
"Hezbollah (Party"	0.0476343
"Canadian Alliance"	0.0474813
Eni	0.0474737
Jihad	0.0474407
ELN	0.0473507
"Amnesty International"	0.0473029
"Palestine National Council"	0.0472261
SIDS	0.0470551
"American Jewish"	0.0470273
"Freedom Front"	0.0467258
"Palestinian Council"	0.0466669
militarist	0.0466609
"United States Congress"	0.0466589
Mujahideen	0.0465942
"Special Forces"	0.0465887
"Andean Community"	0.0465666
NU	0.046518
"National Gambling Impact Study Commission"	0.0464527
fanaticism	0.0463802
"Moro Islamic Liberation Front"	0.0463565
"planning board"	0.0463001
UNP	0.0462676
"Log Cabin Republicans"	0.0461716
"Orange Order"	0.0460823
"Church of England"	0.0460505
"Bosnian Muslim"	0.0460119
Druse	0.0455714
MNLF	0.0455064
TrustE	0.045371
"Democratic Unionist Party"	0.0452771
Hirohito	0.0451493
"Urban League"	0.0451203
"National Council of La Raza"	0.0451079
LRA	0.0450275
KDP	0.0450226
"Allied Democratic Forces"	0.0450035
NDF	0.0449233
JMC	0.0449222
G-@@	0.0449208
"National Action"	0.0448489
"American Association of Health Plans"	0.044682
PNC	0.0446397
"Delta Force"	0.0446116
PRD	0.0445204
"Ulster Unionist"	0.0445112
"David Koresh"	0.0444926
Beehive	0.0443597
"Senate Republican"	0.0443284
ragtag	0.0442933
"popular front"	0.0440744
"National Convention Executive Council"	0.0440008
"white supremacy"	0.0439982
"New Age"	0.0439355
SDP	0.0438293
"BUENA VISTA SOCIAL CLUB"	0.043818
"National Alliance"	0.0437905
CWC	0.0437185
polity	0.0436824
))
("Aung San Suu Kyi" (desc 4580.49) (sims
"Suu Kyi"	0.333199
"Jose Ramos-Horta"	0.234872
"John Hume"	0.208312
"Wole Soyinka"	0.19585
"Elie Wiesel"	0.165582
"David Trimble"	0.163733
"Desmond Tutu"	0.156371
"Le Kha Phieu"	0.148021
"Xanana Gusmao"	0.14229
"Jonas Savimbi"	0.137074
"William Hague"	0.13536
"Foday Sankoh"	0.134944
"Vuk Draskovic"	0.132454
"Gabriel Garcia Marquez"	0.132321
"Sam Rainsy"	0.12929
"Hashim Thaci"	0.12639
"Joseph Bruno"	0.120375
"Roosevelt Johnson"	0.119868
"Zoran Djindjic"	0.119237
"Vladimir Zhirinovsky"	0.118582
"Sonia Gandhi"	0.115467
"Kim Jong Il"	0.115324
Kaunda	0.113871
Chand	0.113799
"Mikulas Dzurinda"	0.113677
"Gennady Zyuganov"	0.113369
"Natan Sharansky"	0.11188
"Shimon Peres"	0.111747
"Gerry Adams"	0.1104
"Lech Walesa"	0.109813
"Silvio Berlusconi"	0.109808
"Archbishop Desmond Tutu"	0.109766
"Moammar Gadhafi"	0.109318
"Yossi Sarid"	0.108327
"Sher Bahadur Deuba"	0.107867
"Martin Lee"	0.107844
"Dai Bingguo"	0.107844
"Ibrahim Rugova"	0.107602
"Johnny Paul Koroma"	0.107281
"prize winner"	0.107249
"Amien Rais"	0.106999
"Megawati Sukarnoputri"	0.106865
"David Duke"	0.10641
Phieu	0.105263
"Rashid Dostum"	0.104405
"Seamus Heaney"	0.102915
"Khaleda Zia"	0.102009
"Ali Mahdi Mohamed"	0.100354
"George Speight"	0.0999983
"Ayatollah Ali Khamenei"	0.099664
"Ayatollah Ruhollah Khomeini"	0.0991918
"Kim Yong Nam"	0.0985412
Wamba	0.0981456
Berisha	0.0974852
"Necmettin Erbakan"	0.0971457
"Saul Bellow"	0.0966863
"Megawati Soekarnoputri"	0.0966426
"Begum Khaleda Zia"	0.0960262
"Grigory Yavlinsky"	0.0957681
"Lokendra Bahadur Chand"	0.0955792
"David Koresh"	0.0950608
"Chavalit Yongchaiyudh"	0.0946131
"Richard Gephardt"	0.0938189
"Vladimir Meciar"	0.0934531
"Aryeh Deri"	0.0930382
"Vojislav Seselj"	0.0927378
"Joerg Haider"	0.0926484
"Bizima Karaha"	0.0924101
"Mesut Yilmaz"	0.0922875
Trimble	0.0905083
"Pervez Musharraf"	0.0904459
Markovic	0.0902509
Savimbi	0.0901706
"Martin McGuinness"	0.089779
"Radovan Karadzic"	0.0895591
"Mikhail Gorbachev"	0.0894709
"Atal Behari Vajpayee"	0.0894482
"Jean-Marie Le Pen"	0.0894395
"H.D Deve Gowda"	0.0891837
"Moshood Abiola"	0.0886768
"Tansu Ciller"	0.0886123
"Ariel Sharon"	0.08855
D-Mo.	0.0883956
"Ieng Sary"	0.0883726
"Dick Armey"	0.0880047
"Than Shwe"	0.0879156
NLD	0.0874208
"Tom Daschle"	0.0872656
"Cesar Gaviria"	0.0872462
"Seamus Mallon"	0.0871489
"Jiang Zemin"	0.0869866
"Dick Gephardt"	0.0867244
"Helen Clark"	0.0865057
"Kim Il Sung"	0.0864415
Lipponen	0.0861657
"Augusto Pinochet"	0.0860063
Erbakan	0.0856779
"Benazir Bhutto"	0.0855939
"Shamil Basayev"	0.0852439
Ranariddh	0.0850952
"Gulbuddin Hekmatyar"	0.0848927
"Pauline Hanson"	0.0848448
"Milos Zeman"	0.0846099
"Abdurrahman Wahid"	0.0845752
"Xu Wenli"	0.0843208
"Dalai Lama"	0.0841087
laureate	0.0840233
"Sepp Blatter"	0.0835733
Khamenei	0.083447
Yassin	0.0833711
"National League for Democracy"	0.0826907
"Pandeli Majko"	0.0825396
Kumaratunga	0.0818084
"Tin Oo"	0.0815015
Ershad	0.0810749
"Aslan Maskhadov"	0.0807961
"Huang Ju"	0.0805841
"Abdullah Ocalan"	0.0800983
Ouattara	0.0799286
"Ian Paisley"	0.0799154
"Li Ruihuan"	0.079873
Muoi	0.0797919
"Khin Nyunt"	0.0794817
"Ali Mahdi"	0.079423
"Howard Baker"	0.079378
"Chief Executive Tung Chee-hwa"	0.0790027
"Sali Berisha"	0.0788991
Marulanda	0.0786485
"Hussein Mohamed Aidid"	0.0784101
"Alija Izetbegovic"	0.0783098
"Phan Van Khai"	0.078127
Djindjic	0.0780622
"Trent Lott"	0.0775883
"Ho Chi Minh"	0.0771258
"Yasser Arafat"	0.0770393
"Prime Minister Banharn Silpa-Archa"	0.0766489
Blatter	0.0765836
Shipley	0.076568
"Hun Sen"	0.0765503
Garang	0.0763842
Rais	0.0763328
"Jenny Shipley"	0.0761822
"Richie Phillips"	0.0761155
"Mother Teresa"	0.0758339
"Wolfgang Schaeuble"	0.0756347
"Nelson Mandela"	0.0754975
"Bulent Ecevit"	0.0752076
Draskovic	0.0751459
"Binyamin Netanyahu"	0.0750068
"Louis Farrakhan"	0.0749706
Ghalib	0.0745941
Rugova	0.0745102
Berri	0.0744448
"Ta Mok"	0.0742426
Abiola	0.0742309
"Fehmi Agani"	0.073386
"Wang Dan"	0.0732934
Ecevit	0.0728289
"Yitzhak Mordechai"	0.0724702
Chavalit	0.0724114
D-S.D.	0.0717813
Dehaene	0.0717367
Farrakhan	0.0716793
"Pakalitha Mosisili"	0.0714575
Ocalan	0.0713969
"John Taylor"	0.0711953
"government officials"	0.0710049
Chiluba	0.0709144
Zapatistas	0.0708166
"Bashkim Fino"	0.0707618
"Don Nickles"	0.0705343
"Khieu Samphan"	0.0704923
Zhirinovsky	0.0703952
Cao	0.0703665
Dae-jung	0.07031
"John Howard"	0.0702847
"Bangladesh Nationalist Party"	0.0698754
"Jose Maria Aznar"	0.0696478
"Li Lanqing"	0.0694586
Hasina	0.0693252
"Charles Taylor"	0.0692007
Denktash	0.0689806
"John Prescott"	0.0689785
"Laurent Kabila"	0.0689577
"Chuan Leekpai"	0.068872
"Jacques Santer"	0.0688651
"Ansumane Mane"	0.068848
Tsvangirai	0.0687196
Haider	0.0685406
Gusmao	0.0681508
"Li Hongzhi"	0.0676742
"Fatos Nano"	0.0671648
"Minister Shlomo Ben-Ami"	0.0670704
"Pol Pot"	0.0669076
"Li Peng"	0.0668487
Megawati	0.0667431
Sheik	0.0667054
"Toni Morrison"	0.0665327
Deuba	0.0665171
Sankoh	0.0664454
))
(aunt (desc 22940.1) (sims
uncle	0.189777
grandmother	0.17117
grandparent	0.155232
great-aunt	0.145017
mother	0.143953
cousin	0.139211
grandfather	0.131415
sister	0.128696
mother-in-law	0.127472
niece	0.127447
great-uncle	0.120369
in-law	0.118023
girlfriend	0.113393
father	0.113387
relative	0.111705
nephew	0.109947
parent	0.10909
granddaughter	0.106651
mom	0.106611
"great grandmother"	0.106213
sibling	0.106071
brother	0.106002
stepfather	0.10586
daughter	0.104618
"Lazaro Gonzalez"	0.100267
"best friend"	0.0996437
brother-in-law	0.0965192
stepmother	0.0952418
boyfriend	0.0949565
wife	0.0943159
husband	0.0941901
sister-in-law	0.0918433
grandchildren	0.0909026
grandson	0.0905556
"family member"	0.090512
dad	0.0889755
friend	0.0876995
exwife	0.0861395
"Mariela Quintana"	0.085467
ex-girlfriend	0.0848508
fiance	0.0831972
"legal guardian"	0.0803915
son	0.0803697
widow	0.0802264
roommate	0.0789629
fiancee	0.0778728
godmother	0.0771039
nun	0.0769201
"Marisleysis Gonzalez"	0.0753373
father-in-law	0.0751702
babysitter	0.0747492
"loved one"	0.0731388
stepbrother	0.0723059
spouse	0.0722943
schoolteacher	0.0718904
"Jacqueline Kennedy Onassis"	0.0705179
"Juan Miguel Gonzalez"	0.0701754
grandchild	0.0699796
stepdaughter	0.069859
"extended family"	0.0689781
classmate	0.0671784
neighbor	0.065797
grandma	0.0655072
grandpa	0.0654056
girl	0.065037
matriarch	0.0649419
half-brother	0.0633121
"great grandfather"	0.0632887
"little sister"	0.0629873
acquaintance	0.062848
"old woman"	0.0626265
teacher	0.0621775
"little girl"	0.0617668
"half sister"	0.0606058
lover	0.0604752
Susan	0.0602633
stepson	0.0602204
stranger	0.0599432
exboyfriend	0.0598017
mentor	0.0594886
boy	0.059093
granny	0.0588281
"young woman"	0.0588075
ex-husband	0.0587473
Laura	0.0586958
stepchildren	0.0586551
buddy	0.058316
"foster parent"	0.0581734
"little brother"	0.0581643
Barbara	0.0579785
Dorothy	0.0579665
playmate	0.0578365
co-worker	0.0577207
Lazaro	0.0576303
"old lady"	0.0571398
"English teacher"	0.0570955
Mary	0.0570597
stepsister	0.0569448
nanny	0.0568845
priest	0.0567781
Matthew	0.0559421
patriarch	0.0557056
"church member"	0.0556574
caretaker	0.0556496
sitter	0.0555756
companion	0.0554342
pet	0.0554154
Karen	0.0550898
maid	0.0550748
therapist	0.0550294
mistress	0.0548277
son-in-law	0.0547126
Rebecca	0.0545067
"young girl"	0.054447
Daddy	0.0542743
Robert	0.0541628
housewife	0.0539762
nurse	0.0535571
baby	0.0534348
great-grandchildren	0.0533067
David	0.0532083
John	0.0524592
housekeeper	0.0523475
daughter-in-law	0.0519374
homemaker	0.0519272
"school principal"	0.0516612
prostitute	0.0515304
William	0.0514329
toddler	0.0513793
Caroline	0.0513792
Carolyn	0.0512364
gloria	0.0508307
breadwinner	0.0505193
pediatrician	0.0503564
"white woman"	0.0502794
"little boy"	0.0502621
"old man"	0.050241
alcoholic	0.0502035
Joe	0.0496746
schoolmate	0.0494379
PAL	0.0492919
Samantha	0.0492801
teen	0.0492574
"social worker"	0.0491958
Richard	0.0490698
Princess	0.0488571
pastor	0.0488469
caregiver	0.0488204
Lois	0.0486705
Diana	0.0485852
survivor	0.0485105
namesake	0.0483334
infant	0.0482294
waitress	0.048011
deceased	0.0479787
upbringing	0.0479341
Debra	0.0478605
Barton	0.0477646
actress	0.0474825
Michael	0.0474408
Sarah	0.0473121
Linda	0.0472706
Elizabeth	0.0468014
singer	0.0467897
Maria	0.0466438
dentist	0.0465909
Bobby	0.0465603
policeman	0.0464883
"first cousin"	0.0464802
rabbi	0.0463987
teen-ager	0.0463247
sweetheart	0.0462107
Pamela	0.0461976
"Princess Diana"	0.0461762
Patrick	0.0460587
elder	0.0460445
Nicholas	0.0460376
Ethel	0.0458526
servant	0.0458361
"foster child"	0.045827
descendant	0.0457749
bodyguard	0.0457658
passerby	0.0456932
Alan	0.0456254
"black man"	0.045538
Paul	0.0454706
Fahey	0.0454284
"black woman"	0.0453807
Kate	0.0453394
lady	0.0450935
Salinger	0.0448744
"Carolyn Bessette Kennedy"	0.0448365
ANN	0.0448343
Kathleen	0.0447963
Peter	0.0447378
ancestor	0.0447076
Kenny	0.0446673
tom	0.0446565
bride	0.0445723
Jim	0.0445559
))
(aura (desc 24448.1) (sims
sense	0.130665
veneer	0.101689
MYSTIQUE	0.100025
charm	0.0964438
feeling	0.0915129
semblance	0.0875018
atmosphere	0.0873002
resonance	0.0829812
glow	0.0828283
cachet	0.0808538
whiff	0.0799049
undercurrent	0.0792758
image	0.0780991
illusion	0.0776637
charisma	0.0775986
beauty	0.0766342
cloak	0.0764519
sheen	0.0760786
mood	0.0751827
spirit	0.0750039
air	0.0749703
modicum	0.0734567
patina	0.0730596
notion	0.0724737
tinge	0.0717533
myth	0.0716643
grandeur	0.0702909
quality	0.0698317
allure	0.0697209
vision	0.0695285
hint	0.0694138
warmth	0.0690302
ambience	0.0689379
glamour	0.0683972
intensity	0.0674231
persona	0.0670319
luster	0.0669351
blend	0.0666846
tone	0.0662641
mantle	0.0656839
touch	0.0650176
sensibility	0.0647944
stature	0.0642755
trapping	0.0636984
perception	0.0635422
dimension	0.0634119
personality	0.0633428
elegance	0.0629853
poignancy	0.0625311
swagger	0.0623531
veil	0.0623068
aroma	0.0621058
ambiance	0.0620157
excitement	0.0619095
theme	0.061772
mystery	0.0610922
element	0.0608499
frisson	0.0606092
buzz	0.0605527
dignity	0.0605427
demeanor	0.0604733
wit	0.0602941
reputation	0.059998
urgency	0.0591647
style	0.0591454
symbolism	0.0591246
smell	0.0589326
scent	0.058874
tale	0.0586184
overtone	0.0585726
legacy	0.0582826
attitude	0.0581166
flavor	0.057969
Vibe	0.0578321
vitality	0.057271
symbol	0.0570148
degree	0.0569997
prestige	0.0566359
magic	0.0563157
taste	0.055648
meaning	0.0554571
reminder	0.0553751
essence	0.0553387
tradition	0.0550133
"sense of humor"	0.054996
virtue	0.0548253
presence	0.0546845
energy	0.05407
wisdom	0.0540619
characteristic	0.0539782
memory	0.0539529
serenity	0.0536365
euphoria	0.0535694
opulence	0.0533724
impression	0.0530386
passion	0.0528644
emotion	0.0528203
mentality	0.0526712
Innocence	0.0525462
odor	0.0520926
nature	0.0520028
confidence	0.0516859
humor	0.0516493
dream	0.0515733
freshness	0.0515448
connotation	0.0513085
expression	0.0512705
pleasure	0.0511612
aspect	0.0510183
mindset	0.0509163
glory	0.0508899
undertone	0.0508665
realism	0.0508568
bit	0.0506938
ideal	0.0506856
fantasy	0.0506762
talent	0.0506116
stereotype	0.0505294
icon	0.0504739
self-confidence	0.0504081
authenticity	0.0503467
arrogance	0.0502888
popularity	0.0502437
clarity	0.0502371
rhythm	0.0501858
clout	0.0501617
portrait	0.0500257
simplicity	0.0498957
sweetness	0.0496706
texture	0.0496453
flair	0.0493601
mythology	0.0491852
stillness	0.0490698
strength	0.048898
reflection	0.0488637
ability	0.0486601
spectacle	0.0486159
richness	0.0484817
"good looks"	0.047722
awareness	0.0475785
sensitivity	0.0475611
manner	0.0475358
realm	0.0475241
purity	0.0474469
irony	0.0474323
vigor	0.0473316
credibility	0.047315
juxtaposition	0.0472456
complexity	0.0471567
evocation	0.0471425
mixture	0.0468755
tableau	0.0468603
camaraderie	0.0467676
momentum	0.0466869
glimpse	0.0466669
phenomena	0.0466082
gravitas	0.0465328
credential	0.0465272
vibrancy	0.0464134
embodiment	0.0463933
skill	0.0463672
idealism	0.0463621
awkwardness	0.0463525
grace	0.0463473
legend	0.0462985
enthusiasm	0.0462093
sophistication	0.0461805
profile	0.0461675
landscape	0.0461416
drama	0.0461116
pedigree	0.0460522
optimism	0.0459757
shadow	0.0459376
identity	0.0457677
nostalgia	0.0457286
magnetism	0.0456868
depth	0.0456789
anxiety	0.0456626
brilliance	0.0454803
accent	0.0452877
ethos	0.0452807
perspective	0.0451741
spontaneity	0.0451739
conundrum	0.0451683
horror	0.0451626
presumption	0.0451569
facade	0.0451407
esthetic	0.0450772
integrity	0.0450192
phenomenon	0.0449059
paradox	0.0448541
Halo	0.0448259
lore	0.0448163
radiance	0.0448154
logic	0.0447588
assumption	0.0447351
gloss	0.044615
prowess	0.0445746
pretension	0.0444478
joy	0.044313
))
(Aurelio (desc 1277.1) (sims
"Vernon E. Jordan Jr."	0.125212
Hybl	0.117823
Jeanne	0.114554
"De la Cruz"	0.106503
Gail	0.105381
"Terry McAuliffe"	0.100545
Lynne	0.0982975
Weisman	0.0972788
"Julie Hiatt Steele"	0.0936217
Lynn	0.0928806
Durant	0.0917104
Jaffe	0.0900794
Finkel	0.0882861
Pam	0.0880916
Bergeron	0.0866206
Rubenstein	0.0860518
"Earl Spencer"	0.0858359
Suzanne	0.0846622
Joel	0.0836237
"Yigal Amir"	0.0828283
TALBOT	0.0826574
Talebi	0.0823709
Zwick	0.0816556
"Maria Hsia"	0.0815917
Sobel	0.0812839
Mustafa	0.0810685
Hanley	0.0802622
Eduardo	0.0798002
Setzer	0.0797751
Vogel	0.079514
Nate	0.0795094
Billick	0.0783397
Iglesias	0.078274
Hickman	0.0778425
Duffy	0.0777445
Raymond	0.0777391
burrows	0.0774578
Lowry	0.0773048
Hahn	0.0756875
Danny	0.0753519
Nickerson	0.0752195
Ness	0.0740695
Robbie	0.0731055
COYNE	0.0725621
Gullikson	0.0724916
Barlow	0.0722871
Michelle	0.0722549
Atwood	0.0722239
Rollins	0.0722021
Jayakumar	0.0720187
Poole	0.0718159
Krugman	0.0718137
Betsy	0.0715837
Knowles	0.0714133
Carl	0.0708236
Moser	0.0707234
Erwin	0.0707038
"Tom Johnson"	0.0706451
Erik	0.0704139
D'Alessandro	0.0701567
Ulrich	0.0699255
DiCicco	0.0698347
Behr	0.0698302
Shields	0.0696792
Soto	0.0696707
"Webster Hubbell"	0.0695923
Weil	0.069381
"Vincent Foster"	0.0690188
Brandt	0.068338
Gregory	0.0681337
Lou	0.0679277
Betty	0.067841
Butterworth	0.0678087
Cowan	0.067698
Rau	0.0676659
Brock	0.0672825
Toni	0.0670634
Harvey	0.0668345
Lerner	0.0667208
Valdez	0.0666663
Ron	0.066521
Shawn	0.0664653
Raitt	0.0662972
Montiel	0.0662613
Berkowitz	0.0661744
Zuckerman	0.0659417
Holmes	0.065753
Cathy	0.0655617
Meeks	0.0654503
Leahy	0.0651191
Jamie	0.0643509
McCann	0.0642503
Cornish	0.0640204
Terri	0.0638724
Meyers	0.0636247
Jorge	0.0631926
"Jack Valenti"	0.0630871
Beatty	0.0628986
Marc	0.0628415
Coen	0.0628143
Maurice	0.0626071
O'Neil	0.0625897
Nancy	0.0625064
JONAS	0.0624748
Kathy	0.0620845
"Tom Ridge"	0.0619356
Carville	0.0616738
Linda	0.061509
Maguire	0.061339
"Steve Ballmer"	0.0610863
Brownlee	0.0609683
Gibbons	0.0607858
Sapp	0.060667
Wyatt	0.0606537
Henley	0.0605581
"Joao Havelange"	0.0603555
Beth	0.0601409
"David Jones"	0.0600885
Wilbur	0.0598539
Pollack	0.05978
Joey	0.0597774
Sheedy	0.059758
Auerbach	0.0597562
Newcombe	0.0597384
Owen	0.0596909
Rutherford	0.0596168
Rick	0.0594767
Kathleen	0.0594502
Kaye	0.0593029
Dickinson	0.0590625
Cahill	0.0590565
O'Connell	0.0588753
sandy	0.0588688
Fayed	0.0587453
Siegel	0.0586309
Ingram	0.0585718
Altman	0.0583384
Haas	0.0581571
Tracey	0.0581221
Jeremy	0.0580462
Neff	0.0578508
Milo	0.0578186
Gaston	0.0578111
Pauline	0.0577396
Susan	0.0576374
Nicholson	0.0573017
Macdonald	0.0572485
Adrian	0.0571952
Passarella	0.0571869
Lyn	0.0571766
Leigh	0.057162
Antonio	0.0570524
Erin	0.0570437
Arum	0.0570183
Theo	0.0569197
Messina	0.0568167
Silverstein	0.0567461
Ferrer	0.0566231
Fagan	0.0565853
Maynard	0.0565609
Tanui	0.05653
Midler	0.056345
Duvall	0.0562581
Copeland	0.0561213
Hejduk	0.0559248
Grossman	0.0557191
Liz	0.0555659
Brundtland	0.0554848
Loeb	0.0553302
Mahoney	0.055328
Marty	0.0553184
"Graham Greene"	0.0552853
Bartley	0.0551778
Rosenthal	0.0551721
Alexis	0.0550703
Culpepper	0.0550384
Easley	0.0549508
Mandelson	0.0548271
Leibovitz	0.0548215
Sharma	0.0547172
"Al Joyner"	0.0546207
Jill	0.0545013
Noel	0.0543593
Zeng	0.0543436
McLachlan	0.0542987
J.J	0.0542095
Sean	0.0541614
Knox	0.054157
Siazon	0.0541244
Lois	0.0539686
Yates	0.0539557
Levine	0.053948
Tuinei	0.0539111
Ganassi	0.0538077
Trevor	0.0536711
Braun	0.0534188
Segal	0.0533426
Theodore	0.0533303
Stephens	0.0532483
Kulikov	0.0532423
))
(Auriemma (desc 1232.69) (sims
Finkel	0.143194
Heinrichs	0.12702
Paxon	0.126595
Schmid	0.123477
Talebi	0.120457
Solis	0.119217
Passarella	0.11876
Carollo	0.118588
Ainge	0.116592
Piot	0.115231
Nadler	0.114905
Okada	0.113762
Ruehe	0.113548
Duffy	0.11239
Valenti	0.111959
Strauss-Kahn	0.111399
Ebersol	0.110063
Sherrill	0.109741
beamer	0.109691
Prewitt	0.109275
Meissner	0.108228
Tomey	0.108179
Wolfson	0.107025
Goossen	0.106853
Hauser	0.106792
Gogel	0.106573
Muckler	0.105889
Bustamante	0.105718
Olsen	0.105668
Fleischer	0.104875
"administration official"	0.104709
Insulza	0.103704
Hersh	0.103664
Robson	0.102456
Padilla	0.101967
Jacquet	0.101922
Barros	0.101707
Moakley	0.101673
Zambrano	0.101256
Azizah	0.100622
Wan	0.100336
Gossage	0.100322
Rossotti	0.0993761
Hiddink	0.0989697
Nickerson	0.0983995
Poole	0.0981168
Blackthorne	0.0980785
Donnan	0.0972846
Wilhelm	0.0970791
Aguirre	0.0968519
Jelisic	0.0964546
Shamshad	0.0963113
Solich	0.0954705
Samuelson	0.095066
Rubenstein	0.0949034
Dunleavy	0.0947496
Ratner	0.0944821
Echols	0.0942769
Advani	0.0941706
Gullikson	0.09386
Cooley	0.0936129
McDonough	0.093225
Eizenstat	0.0928459
McCurry	0.0926504
Wenger	0.0920813
Monahan	0.0919207
Rashid	0.0918377
Andreychuk	0.0915065
Mendez	0.0914802
Grasso	0.0914565
Goldin	0.0912506
Geiger	0.0909049
Lacroix	0.0902989
Musa	0.0901965
Ftorek	0.0900298
Ganassi	0.089944
Sather	0.0897303
Tuberville	0.0894607
Abernathy	0.0891518
McCarron	0.0891378
Saleh	0.0890396
Sheehan	0.0887925
Brandt	0.0887178
Rahal	0.0886135
Reinhardt	0.0885112
Aleman	0.0878056
Contreras	0.0877665
Drexler	0.0876193
Zuckerman	0.0875976
Copeland	0.0875266
Winkler	0.0874887
Kyprianou	0.0871405
"de Charette"	0.0868434
Garcetti	0.0866103
Jovanovic	0.0863839
Donohue	0.0861667
Sills	0.0860078
Reimer	0.085929
Stayner	0.0856318
Aventajado	0.0854491
Sapp	0.0854292
Piniella	0.0851687
Gosper	0.0847879
Schweitzer	0.084168
Flanagan	0.0841602
Bergeron	0.0840975
Markovic	0.0839495
silber	0.0838419
Zamora	0.0838061
Fagan	0.083742
DeFrantz	0.0836661
Hoddle	0.0836336
Zuma	0.0834375
Merritt	0.0833025
Xiang	0.0832532
Sasser	0.0831908
Naumann	0.0831145
Inman	0.0830008
Mercado	0.0829727
Cowan	0.082894
ISSEL	0.082773
Weisman	0.0826016
Diouf	0.0822461
Polian	0.0821417
McKinnon	0.0819724
Hirschbeck	0.0817523
"Joe Lockhart"	0.0816932
Beazley	0.0816641
Satcher	0.0815943
Upton	0.0815713
Feuer	0.0815552
Singson	0.0814122
Maddox	0.0814022
Hybl	0.0812613
Constantine	0.0812269
Menard	0.0812091
Dougherty	0.0811558
Tevanian	0.0809871
Kessler	0.080926
Molinari	0.0809113
Alarcon	0.0809006
Sykes	0.0807376
Edelstein	0.0806724
Thayer	0.080517
"Bank of Korea"	0.0805147
Wald	0.0804366
D'Alessandro	0.0803645
Bettman	0.0803585
Baugh	0.0802633
Ogata	0.0802341
Guidry	0.080133
Atler	0.0800902
Mariucci	0.0799932
Scharping	0.0799258
DiPietro	0.0798999
Manley	0.0798869
Bodine	0.0798021
O'Connell	0.0797842
Ruggiero	0.079414
Zou	0.0793497
Cao	0.0793454
Lehane	0.0791096
Slocum	0.0790681
Martorano	0.0789937
Hamid	0.0789611
Vogel	0.0788454
Sahadi	0.0788293
Whipple	0.0787647
Arum	0.078696
Machado	0.0785205
Zucker	0.0784056
Hyman	0.0783951
Cepeda	0.0783526
Farber	0.0783
Mikhailov	0.0782455
hale	0.0778102
Kostov	0.0777889
Ponciano	0.0777451
Silverstein	0.0776454
O'Sullivan	0.0774238
Ritter	0.0774076
Spano	0.0773347
Difrancesco	0.077188
Rudenstine	0.0771082
BEGAY	0.0771027
Whitacre	0.0770892
Engelberg	0.0769807
Surin	0.0767749
hodgson	0.0767445
Larson	0.0767406
Kumar	0.0766908
Napolitano	0.0764734
Hanna	0.076431
Warshaw	0.0764238
Claes	0.0764128
Lockyer	0.0763454
Bowers	0.0762672
Laudrup	0.0761183
Guerra	0.07608
Fulmer	0.0760138
))
(Aurilia (desc 978.733) (sims
Lankford	0.358602
Rolen	0.288392
Fullmer	0.275213
Abreu	0.259533
Vidro	0.249265
"Damian Miller"	0.238036
Burnitz	0.234926
"Marvin Benard"	0.234202
Higginson	0.233803
"Eric Owens"	0.231689
Cirillo	0.231324
Hollins	0.230659
"Eddie Taubensee"	0.224017
Taubensee	0.219942
Sexson	0.21905
"Deivi Cruz"	0.218441
"Bill Mueller"	0.217333
"Geoff Jenkins"	0.216862
"Matt Lawton"	0.215725
Glaus	0.213946
"Scott Spiezio"	0.213832
"Rich Aurilia"	0.213817
Fryman	0.209331
"Derrek Lee"	0.209244
"Mark Kotsay"	0.208533
Giambi	0.20601
"Damian Jackson"	0.205907
"Mark Loretta"	0.20559
"Carlos Lee"	0.204455
grieve	0.204451
"Dean Palmer"	0.204223
"Mike Sweeney"	0.199549
Lieberthal	0.198779
"David Ortiz"	0.197836
"Jeff Conine"	0.197072
"John Vander Wal"	0.195004
Nevin	0.193872
"Benny Agbayani"	0.191323
"Rondell White"	0.189395
"Tony Batista"	0.188747
"Jose Guillen"	0.186751
"Bruce Aven"	0.186592
"Mike Lieberthal"	0.186316
"Travis Fryman"	0.185339
Dunston	0.185125
Elster	0.184453
"Tony Eusebio"	0.184357
"Scott Rolen"	0.18395
Agbayani	0.183597
"Kevin Young"	0.182341
"Todd Pratt"	0.181234
"Bubba Trammell"	0.181164
"Phil Nevin"	0.180637
"Kelly Stinnett"	0.17941
"Miguel Tejada"	0.177994
"Matt Stairs"	0.177962
Tatis	0.177597
Renteria	0.177239
Alfonzo	0.176866
"Mike Lansing"	0.175464
"Henry Rodriguez"	0.175395
"Bobby Higginson"	0.174935
"Dave Martinez"	0.174765
"Butch Huskey"	0.174745
"Stan Javier"	0.174187
McGriff	0.173705
Batista	0.173257
"Preston Wilson"	0.172971
Veras	0.172824
"J.T Snow"	0.172723
"Ruben Rivera"	0.172685
"Ray Durham"	0.172532
"Jose Vidro"	0.172527
"Bobby Abreu"	0.172527
"Dmitri Young"	0.171775
Karros	0.171028
Bordick	0.170137
"Joe Randa"	0.169886
"Troy Glaus"	0.168908
"Richard Hidalgo"	0.167481
"Jose Valentin"	0.16719
"Tony Graffanino"	0.166818
"David Bell"	0.166811
"Neifi Perez"	0.166792
"Jeff Kent"	0.166319
Spiers	0.16562
Tejada	0.16548
"Warren Morris"	0.164834
Lofton	0.164796
"Bengie Molina"	0.164727
"Paul Konerko"	0.164419
Alicea	0.164304
Klesko	0.163471
Delgado	0.163061
"Russ Johnson"	0.162907
"Richie Sexson"	0.16273
Saenz	0.162302
"Chris Widger"	0.162267
"Dave Hansen"	0.161269
Bautista	0.161105
"Ben Grieve"	0.160998
"Eric Karros"	0.160928
"Luis Gonzalez"	0.16054
"Glenallen Hill"	0.160499
"Jeff Cirillo"	0.160348
"Tony Clark"	0.159631
"Carlos Beltran"	0.15939
Velarde	0.159013
Castilla	0.158907
"Ron Gant"	0.158728
"Jay Bell"	0.158536
"Luis Alicea"	0.158462
Catalanotto	0.158238
"Tim Bogar"	0.158198
"Pat Burrell"	0.15808
"Vladimir Guerrero"	0.157884
"Quinton McCracken"	0.15778
Erstad	0.157735
Hatteberg	0.157321
Ordonez	0.15714
Sojo	0.156757
Beltran	0.156561
"Johnny Damon"	0.156523
"Brad Fullmer"	0.156273
"Marquis Grissom"	0.156261
"Gerald Williams"	0.155888
DiSarcina	0.155433
"Brian Giles"	0.15503
Eusebio	0.154994
"Jason Kendall"	0.154509
Cabrera	0.154221
"Pat Meares"	0.154006
"Jason Giambi"	0.153987
Olerud	0.153885
"Lance Berkman"	0.153319
"Fred McGriff"	0.152456
"Jeffrey Hammonds"	0.152337
Gant	0.152244
"Brian McRae"	0.152074
"Brady Anderson"	0.151973
"Adam Kennedy"	0.151461
"Tim Salmon"	0.151138
Zeile	0.151047
"Doug Glanville"	0.150998
"Corey Koskie"	0.150928
"Ricky Gutierrez"	0.150702
"Andy Fox"	0.150291
"Edgardo Alfonzo"	0.150037
"Cliff Floyd"	0.149541
"Dante Bichette"	0.148925
"Trot Nixon"	0.148781
"Todd Helton"	0.14876
"Shawn Green"	0.148593
Molina	0.148451
"Mike Lamb"	0.14782
"Jim Thome"	0.147755
"Jermaine Dye"	0.147046
"Robin Ventura"	0.146992
"Mickey Morandini"	0.14671
"Will Clark"	0.146672
"Mike Cameron"	0.146511
Lawton	0.146461
"Darren Lewis"	0.145715
Glanville	0.14567
"Mike Bordick"	0.14552
"Luis Polonia"	0.145399
DeShields	0.145379
"Melvin Mora"	0.144885
Mabry	0.14481
"Danny Bautista"	0.144747
Randa	0.144664
"Matt Franco"	0.144383
"Jay Payton"	0.144221
Biggio	0.144198
"Benji Gil"	0.144111
"Ron Coomer"	0.144046
"Wally Joyner"	0.1439
Ledee	0.143829
"Jason Varitek"	0.143393
Varitek	0.143378
"Harold Baines"	0.143352
"Scott Brosius"	0.143219
"Ray Lankford"	0.142533
"Sean Casey"	0.142419
Canseco	0.142312
"Derek Bell"	0.141472
"John Olerud"	0.140701
"Brian Hunter"	0.140684
"Jeremy Giambi"	0.140682
"Craig Counsell"	0.140521
"Kenny Lofton"	0.140293
"Russ Davis"	0.140257
"Mike Lowell"	0.139739
Thome	0.139474
Bagwell	0.139285
"Jose Cruz Jr."	0.139236
"Sandy Alomar"	0.139089
Alomar	0.139078
Kapler	0.139065
"Alex Gonzalez"	0.138998
"Randy Velarde"	0.138789
"Andruw Jones"	0.1386
"Javy Lopez"	0.138532
"Fernando Vina"	0.138079
"Lee Stevens"	0.13803
Easley	0.137721
"Mike Stanley"	0.137612
Valentin	0.137492
Baerga	0.137141
"Garret Anderson"	0.1371
Cordero	0.136986
"Carlos Delgado"	0.136786
"Cristian Guzman"	0.13674
Boone	0.136704
Furcal	0.136558
"Luis Lopez"	0.136424
"Brant Brown"	0.136076
Guillen	0.135889
Merloni	0.135798
"Enrique Wilson"	0.135429
Burks	0.135315
"Fernando Tatis"	0.135256
"Aaron Boone"	0.134604
"Jay Buhner"	0.134411
"Brent Mayne"	0.134198
"Ken Caminiti"	0.133486
"Vinny Castilla"	0.133305
"Travis Lee"	0.133268
"Paul Bako"	0.133261
"Barry Bonds"	0.133148
"Tino Martinez"	0.133012
"Devon White"	0.132954
Javier	0.132886
"Steve Finley"	0.132789
"Jeromy Burnitz"	0.132725
"Ed Sprague"	0.132342
Alou	0.132321
"Jorge Posada"	0.132275
"Barry Larkin"	0.132267
"Adrian Beltre"	0.13203
"Rich Becker"	0.13167
Segui	0.131304
Bichette	0.130376
"Craig Biggio"	0.130363
"Einar Diaz"	0.130253
"Mark Grace"	0.130207
Garciaparra	0.130161
"Todd Walker"	0.130144
Palmeiro	0.130092
"Kurt Abbott"	0.130087
"Magglio Ordonez"	0.130024
"Eric Chavez"	0.12965
"Royce Clayton"	0.129531
Daubach	0.129357
"Brian Daubach"	0.128987
"Matt Walbeck"	0.128919
"Jose Offerman"	0.128828
"Damion Easley"	0.128427
"Chad Curtis"	0.128299
Mayne	0.128203
"Ellis Burks"	0.127833
"Bill Spiers"	0.127663
"Al Martin"	0.127262
"Damon Buford"	0.127169
"Luis Sojo"	0.127109
Frye	0.12612
Stinnett	0.125963
"Gary Sheffield"	0.125868
"Tony Womack"	0.125728
"Brook Fordyce"	0.125052
"Luis Castillo"	0.12421
"F.P Santangelo"	0.123979
"Brian Johnson"	0.123933
"John Mabry"	0.123878
Helton	0.123393
"Brian Jordan"	0.122425
"David Segui"	0.122125
"Manny Alexander"	0.121894
Huskey	0.121689
"Michael Tucker"	0.121683
"J.D Drew"	0.12166
"Omar Vizquel"	0.12157
"Rico Brogna"	0.121483
"Raul Ibanez"	0.120943
"Frank Thomas"	0.120849
"Darren Bragg"	0.120595
"Darin Erstad"	0.120569
"Chad Kreuter"	0.120444
"Keith Lockhart"	0.120439
"Herbert Perry"	0.120417
"Tom Goodwin"	0.120086
"Rickey Henderson"	0.119937
"Jose Hernandez"	0.119883
"B.J Surhoff"	0.119821
Caminiti	0.119707
Knoblauch	0.119296
"Orlando Palmeiro"	0.119231
Hundley	0.118892
"Todd Hundley"	0.118571
Beltre	0.118435
Bergeron	0.118075
"Ryan Klesko"	0.118009
"Jim Edmonds"	0.117925
"Ozzie Guillen"	0.1177
"Greg Vaughn"	0.117586
"Rafael Palmeiro"	0.117384
Trammell	0.117102
"Jeff Bagwell"	0.116777
Leyritz	0.116737
"Miguel Cairo"	0.116294
Hidalgo	0.11599
"Chipper Jones"	0.115506
"Kirk Gibson"	0.115465
"Marty Cordova"	0.115354
"Joe Carter"	0.114697
"Edgar Martinez"	0.114428
"Karim Garcia"	0.114053
"Ricky Ledee"	0.113779
"Kevin Stocker"	0.113702
Vizquel	0.113673
"Brad Ausmus"	0.113627
"Matt Luke"	0.113614
Offerman	0.113175
"Rusty Greer"	0.113137
"Chuck Knoblauch"	0.113123
"Moises Alou"	0.113028
"Manny Ramirez"	0.11277
"John Valentin"	0.112682
"Troy O'Leary"	0.112412
McRae	0.112281
Grissom	0.112269
"Todd Zeile"	0.112151
"Charles Johnson"	0.112136
Schourek	0.11198
"Bernard Gilkey"	0.111551
"Scott Hatteberg"	0.111446
"John Jaha"	0.111198
Dempster	0.110745
"Gregg Zaun"	0.110716
"Quilvio Veras"	0.110673
Brosius	0.110595
Konerko	0.110563
"Joe Girardi"	0.110308
"Todd Greene"	0.110058
"Dan Wilson"	0.109963
"Roger Cedeno"	0.109603
"Matt Williams"	0.109552
"Todd Hollandsworth"	0.109362
Cedeno	0.109312
"Mark McLemore"	0.108597
Gilkey	0.108558
"Joe McEwing"	0.108384
"Tom Lampkin"	0.107956
Posada	0.107775
McLemore	0.107463
"Alex Rodriguez"	0.107428
Dellucci	0.107367
Sprague	0.107241
"Erubiel Durazo"	0.107084
"Bobby Estalella"	0.106744
"Mark Grudzielanek"	0.106542
Surhoff	0.106429
Sheffield	0.106182
"Charlie Hayes"	0.106121
"Mike Caruso"	0.105927
"Lenny Harris"	0.105883
"Carl Everett"	0.105446
"Derek Jeter"	0.10525
"Juan Encarnacion"	0.104939
"Nomar Garciaparra"	0.104669
"Roberto Alomar"	0.104054
"Sean Berry"	0.103783
Buhner	0.103511
Mondesi	0.103408
Gutierrez	0.102636
"Shannon Stewart"	0.102281
"Jim Leyritz"	0.102122
"Shane Andrews"	0.102071
"Tony Fernandez"	0.101977
Lampkin	0.101946
"Ivan Rodriguez"	0.101427
"Francisco Cordova"	0.101349
Macfarlane	0.101091
Womack	0.100638
"Terrence Long"	0.100441
"Raul Mondesi"	0.100436
"Pokey Reese"	0.100224
Ausmus	0.100153
Grudzielanek	0.100062
))
(aurora (desc 8481.68) (sims
LAKEWOOD	0.124928
Englewood	0.101404
Evanston	0.100232
Naperville	0.0945393
Wheaton	0.0879193
Medford	0.0787453
Infiniti	0.0786681
Elgin	0.0746586
S@@	0.0729542
"Fort Collins"	0.0727321
Hillsboro	0.0725791
Deerfield	0.0709688
G@@	0.0685494
"Granada Hills"	0.0664766
DeVille	0.0661867
"East St. Louis"	0.0658831
"New Rochelle"	0.0647431
Encino	0.0646225
"Silver Spring"	0.0640823
"Grand Junction"	0.0633376
"Boynton Beach"	0.0627015
Youngstown	0.0625512
Morristown	0.0624834
Quincy	0.0615593
Peoria	0.0605071
Decatur	0.0603657
Chatham	0.0599342
Norcross	0.0594058
"Woodland Hills"	0.0590592
Springfield	0.0585453
Tarzana	0.058305
Columbus	0.0578715
Amherst	0.0577495
"Jefferson County"	0.0572287
Westfield	0.0572148
Stockbridge	0.0571355
Alpharetta	0.0570865
Needham	0.056961
Burlington	0.056844
ALZA	0.0565049
Reseda	0.0564121
Holyoke	0.0562938
Danville	0.055435
Bloomington	0.0552942
"Van Nuys"	0.055245
Marion	0.0551092
Chatsworth	0.055047
Oldsmobile	0.054946
Riverdale	0.0546447
Akron	0.0545669
Windsor	0.054468
Passat	0.0540838
impala	0.0535794
Sunbeam	0.0531188
Farmington	0.0528379
Plano	0.0526318
Xenia	0.0524599
midland	0.0523067
Cortez	0.0522978
"Fort Lee"	0.0522636
Genzyme	0.0519877
"Airbus @@@"	0.0516814
Waterloo	0.0515413
"Sherman Oaks"	0.0514499
Hialeah	0.051162
Bethesda	0.05094
Corel	0.0507042
"Lake Worth"	0.0504504
Sedan	0.0502745
Barrington	0.0502634
Glendale	0.0502173
Wilmington	0.0499037
Lawrenceville	0.049621
"Thousand Oaks"	0.0494859
franklin	0.0492885
"East Orange"	0.0491819
Taurus	0.0491589
"Overland Park"	0.0491412
Herndon	0.049026
Littleton	0.0489424
Arlington	0.0488611
Pueblo	0.0484555
"Newport Beach"	0.0480901
Reston	0.0478626
"HBO &AMP; Co."	0.0476081
Chappaqua	0.0476078
BRIGHTON	0.0475767
Unilever	0.0474308
McLean	0.04743
"Thermo Electron"	0.047426
Maxima	0.0474244
Duluth	0.0472343
Kingston	0.047205
"St. Paul"	0.0472021
"Colorado Springs"	0.0471606
Starwood	0.0471473
"P&AMP;G"	0.0469203
TARBORO	0.0468971
Chester	0.0468093
Marlborough	0.0467923
ESCALADE	0.046771
Kettering	0.0467104
Volvo	0.0467003
"Walnut Creek"	0.046544
"Pacific Century"	0.0465409
Salem	0.0463613
Nissan	0.0463434
Genentech	0.0463416
"Santa Fe"	0.0463348
EMC	0.0460686
Prius	0.0460152
McKesson	0.0459272
"North Hollywood"	0.0457568
Corning	0.0455531
Cabletron	0.045486
Middletown	0.0454255
Westminster	0.0452503
Braintree	0.0451858
SGI	0.0451623
Malden	0.0451026
BofA	0.0450594
Troy	0.0449865
ARCADIA	0.0448758
Broderbund	0.0447701
Woodbridge	0.0447025
Fairfield	0.0446577
Healtheon	0.0445487
Greenwood	0.044503
Woburn	0.0444244
"San Fernando"	0.0443652
Dearborn	0.0442718
"Jersey City"	0.0441993
Norwich	0.0441289
CMGI	0.0440402
Boulder	0.0438163
V-@@	0.0436102
Marietta	0.0435371
Hasbro	0.0434998
"Sara Lee"	0.0434971
"Learning Co."	0.043433
Lansing	0.0433333
Portsmouth	0.0431751
Redmond	0.0431704
"Cobb County"	0.043077
"Airbus A@@@"	0.043041
Leawood	0.0429919
Poughkeepsie	0.0429484
Daimler	0.0429462
Wada	0.0429344
Cadbury	0.0429313
Fairfax	0.0429076
Dixon	0.0428812
Richmond	0.0427985
PEOPLESOFT	0.0427798
Ashland	0.0427334
E-LOAN	0.0427235
"Boca Raton"	0.0426114
AWACS	0.0425975
Stamford	0.0425535
Tarrytown	0.0425002
AutoNation	0.0424644
Wellesley	0.042462
Montclair	0.0424387
Omaha	0.0424088
Lancaster	0.0424084
"Y&AMP;R"	0.0423751
Cambridge	0.0423441
Durango	0.0423415
"Westchester County"	0.04231
Macon	0.0422675
Bloomfield	0.0422278
Charleston	0.0421011
Emeryville	0.0418955
Vitesse	0.0418794
Dublin	0.0417643
riverside	0.0415689
"Fort Worth"	0.0415582
Agilent	0.0415379
Milton	0.0414685
Weston	0.0414256
"San Rafael"	0.0414033
Carmel	0.0413859
TYCO	0.041375
Darien	0.0413404
Cendant	0.0413186
RJR	0.0413136
Racine	0.0412987
Greenwich	0.0412974
"Beverly Hills"	0.0412807
REVLON	0.0411986
SFX	0.0411855
Emulex	0.041063
Brentwood	0.0409891
"Manhattan Beach"	0.040963
VENATOR	0.0409434
Alero	0.0405651
Lexington	0.0405571
Wichita	0.0405023
Memphis	0.0404595
Mirage	0.0404408
))
(Auschwitz (desc 14139.3) (sims
"concentration camp"	0.211772
Buchenwald	0.188118
Jasenovac	0.181023
Dachau	0.177353
holocaust	0.0784249
Attica	0.0729874
gulag	0.0697188
"gas chamber"	0.0668541
"prison camp"	0.0656255
Sabra	0.0632944
Nagasaki	0.0625697
"work camp"	0.0616173
"Nazi Germany"	0.0564027
"Columbine High School"	0.0557051
"Pearl Harbor"	0.0537356
Jonestown	0.0523634
internment	0.05231
"Yad Vashem"	0.051731
"state prison"	0.0505583
orphanage	0.0497478
WWII	0.0493743
"Arlington National Cemetery"	0.0486344
"line of duty"	0.0482672
cemetery	0.0474646
"internment camp"	0.0470725
"atomic bomb"	0.0470605
Alamo	0.046755
Hiroshima	0.0466136
"World War I"	0.04656
"world war"	0.0462832
Blace	0.0449883
genocide	0.0441526
Columbine	0.0440476
Nazi	0.0440436
"Ellis Island"	0.0433393
"Berlin Wall"	0.0431618
"Methodist Hospital"	0.0416618
"military hospital"	0.0413616
Capitol	0.0413475
Krakow	0.0413076
Siberia	0.0404222
))
(Ausmus (desc 1692.72) (sims
Nevin	0.171444
"Bobby Higginson"	0.16067
"Todd Walker"	0.158065
"Matt Lawton"	0.15454
"Tony Eusebio"	0.154048
"Eric Owens"	0.145778
"Daryle Ward"	0.145015
"Brad Ausmus"	0.144415
"Karim Garcia"	0.143524
Higginson	0.143094
Renteria	0.142855
"Deivi Cruz"	0.141479
"Dave Martinez"	0.141374
"Marvin Benard"	0.139849
Abreu	0.13888
Baerga	0.137388
Vina	0.135995
Cirillo	0.133518
Stinnett	0.132519
Vidro	0.132329
Velarde	0.131533
"Jose Guillen"	0.130766
Konerko	0.130132
Rolen	0.129853
"Quinton McCracken"	0.129061
Dunston	0.126987
Cordero	0.125962
"Luis Polonia"	0.125805
"Doug Glanville"	0.125437
"Matt Franco"	0.124864
"Damian Miller"	0.123402
"Geoff Jenkins"	0.122902
"Edgar Renteria"	0.121664
"Dean Palmer"	0.121066
Embree	0.12083
"Mickey Morandini"	0.11994
Daigle	0.119109
Burnitz	0.119079
Brogna	0.118927
"Warren Morris"	0.118676
"Phil Nevin"	0.117799
Caminiti	0.117413
Mabry	0.116161
"Mark Kotsay"	0.11603
Lofton	0.11509
Giambi	0.114726
"Gregg Jefferies"	0.114462
Lieberthal	0.114445
Perisho	0.114348
Veras	0.113635
"Fernando Vina"	0.113472
"Dave Hollins"	0.112716
"Joe McEwing"	0.112165
Bagwell	0.111737
"Bill Mueller"	0.111171
Lankford	0.110788
"Rich Becker"	0.110459
"Jeff Conine"	0.110267
"Kurt Abbott"	0.110119
"Damian Jackson"	0.109246
"Jason Kendall"	0.109071
"David Ortiz"	0.108678
Bordick	0.107132
Bergeron	0.106832
"Rondell White"	0.106727
"Royce Clayton"	0.106689
"Marquis Grissom"	0.106501
"Tony Phillips"	0.106058
"Jon Nunnally"	0.106046
"Lance Berkman"	0.10599
"Ray Durham"	0.104643
"Craig Paquette"	0.104444
Hatteberg	0.104005
"Joe Randa"	0.103738
"Stan Javier"	0.103641
"Marty Cordova"	0.103432
Lacroix	0.103317
McLemore	0.103289
Womack	0.103208
"Al Martin"	0.102835
Hollins	0.102801
"Mark Loretta"	0.102629
"Carlos Lee"	0.102465
"Bobby Abreu"	0.102436
"Craig Counsell"	0.102412
Huskey	0.102229
Burks	0.101861
"Bill Spiers"	0.101778
Walbeck	0.101354
"Ron Gant"	0.101352
"Jeremy Giambi"	0.101077
"Raul Ibanez"	0.101017
Klesko	0.100995
Fryman	0.100951
"Chris Widger"	0.100942
"Cristian Guzman"	0.100939
Ordonez	0.100754
"Charlie Hayes"	0.100749
"Derrek Lee"	0.100396
Alomar	0.100154
Aurilia	0.100153
"Bruce Aven"	0.1
"Glenallen Hill"	0.0999024
Glanville	0.0998344
"Brian Hunter"	0.0993994
Spiers	0.0992653
"Jose Valentin"	0.0991493
"Lance Johnson"	0.0991429
Gant	0.0990002
"Mike Bordick"	0.098832
"Vladimir Guerrero"	0.0985761
Randa	0.0985397
"Pat Burrell"	0.0984604
"Adam Kennedy"	0.0982796
Cabrera	0.0975749
Surhoff	0.0970903
DeShields	0.0969133
"Rob Ducey"	0.0968707
"three pitchers"	0.096504
Hidalgo	0.0965014
Catalanotto	0.0963372
"Chris Gomez"	0.0962648
"Andy Fox"	0.0961813
"Shannon Stewart"	0.0960949
"Johnny Damon"	0.095972
Sojo	0.0959709
"Trenidad Hubbard"	0.0959304
Loretta	0.0957904
"Ricky Gutierrez"	0.0957791
"Darryl Hamilton"	0.0957075
Zeile	0.0956602
"Paul Konerko"	0.0956485
"Tony Graffanino"	0.095481
"Richie Sexson"	0.0953066
"Wilton Veras"	0.0951959
"Luis Gonzalez"	0.0951796
"Melvin Mora"	0.0945751
"Luis Lopez"	0.0945343
Gilkey	0.0944984
Cedeno	0.0943051
"Brady Anderson"	0.0942441
"Bill Haselman"	0.0941732
Segui	0.0939893
"Kevin Stocker"	0.0935683
"Terrence Long"	0.0934569
"J.T Snow"	0.093413
Agbayani	0.0932569
"Tony Clark"	0.0931751
"Neifi Perez"	0.0928831
Sexson	0.0928648
"Rich Aurilia"	0.0927406
Bottenfield	0.0926849
"Corey Koskie"	0.0926758
McGriff	0.092671
"Roger Cedeno"	0.0926249
"Scott Spiezio"	0.092378
"Wilton Guerrero"	0.0923303
"Kevin Young"	0.0922746
"John Vander Wal"	0.0921885
"Joe Girardi"	0.0921486
"Reggie Sanders"	0.0921075
"Tony Fernandez"	0.0920758
"Eddie Taubensee"	0.0919562
"Jeff Cirillo"	0.0918435
"Tony Batista"	0.0917581
Daal	0.0917237
"Pat Meares"	0.0916955
"Butch Huskey"	0.0916752
"Todd Hundley"	0.0916677
"Jeff Bagwell"	0.0914955
"Richard Hidalgo"	0.0912527
"Benny Agbayani"	0.0908503
"Russ Johnson"	0.090548
Elarton	0.0904567
"Omar Vizquel"	0.0903257
Beltran	0.0901445
Olerud	0.0900044
Ledee	0.0899915
Hollandsworth	0.0899693
"Greg Vaughn"	0.0899366
"Damion Easley"	0.0898814
"Ray Lankford"	0.0898783
"Tom Goodwin"	0.0898263
"Bengie Molina"	0.0897615
"Ryan Klesko"	0.0896996
McRae	0.0896384
Ankiel	0.0896129
"Dante Bichette"	0.0895968
"Ellis Burks"	0.0895612
"Bobby Smith"	0.089518
Fullmer	0.089481
Tejada	0.0891414
"Cliff Floyd"	0.0891063
"Brad Fullmer"	0.0890927
"Matt Luke"	0.0889786
"Miguel Cairo"	0.0888801
Biggio	0.0886457
"Delino DeShields"	0.0883538
"Dmitri Young"	0.088267
"Eric Chavez"	0.0882349
))
(auspice (desc 16253.5) (sims
aegis	0.265831
auspices	0.26365
chairmanship	0.132711
co-chairmanship	0.132645
mediation	0.108163
umbrella	0.0885127
supervision	0.0799503
sponsorship	0.0760497
framework	0.0730832
"executive secretary"	0.0636206
"Secretary General"	0.0614145
"Secretary- General"	0.0605669
"member country"	0.0573928
Secretary-General	0.0539429
purview	0.0505016
director-general	0.0497391
rubric	0.0487902
"Economic and Social Council"	0.0482988
"member nation"	0.0470545
"military control"	0.0460942
Secretariat	0.0442866
"Salim Ahmed Salim"	0.044095
pretext	0.0438507
member-states	0.0432293
))
(auspices (desc 6196.67) (sims
auspice	0.26365
aegis	0.196522
chairmanship	0.0956235
co-chairmanship	0.0878377
mediation	0.0758853
"Boutros Boutros Ghali"	0.069408
"Economic Commission for Africa"	0.0659999
sponsorship	0.063741
"Economic and Social Council"	0.0579595
"Commission on Human Rights"	0.0569313
"Secretary General"	0.0562104
"United Nations Office"	0.0487699
"Salim Ahmed Salim"	0.0471462
"Islamic Conference"	0.0465065
"Central Organ"	0.0458247
"Secretary- General"	0.0454255
"Food and Agriculture Organization"	0.0449346
"Economic Commission for Latin America"	0.0440095
patronage	0.043575
"African Unity"	0.043348
Under-Secretary-General	0.0429936
"U.N. Office"	0.0429906
Secretariat	0.0426095
"Resolution @@@@"	0.0416693
"early warning system"	0.0413401
authorization	0.0413098
"Electronic Privacy Information Center"	0.0412144
urging	0.0409938
member-states	0.0409028
"Framework Agreement"	0.040477
"General Agreement on Tariffs and Trade"	0.0400991
))
(Aussie (desc 10395.5) (sims
Springbok	0.0664762
Australian	0.0635337
kiwi	0.0634345
southpaw	0.0611697
Spaniard	0.0601584
Irish	0.0591245
badger	0.0576903
Swede	0.0572794
Frenchman	0.0568128
Sooners	0.0567567
Minutemen	0.0561817
AEK	0.0560081
Longhorn	0.0558793
Hoosier	0.0555841
Austrian	0.055487
Huber	0.0553287
Razorback	0.0551223
"Horned Frogs"	0.0548935
buckeye	0.0548448
"Fighting Irish"	0.0547572
Philippoussis	0.0527125
"New Zealander"	0.0526617
"Australian dollar"	0.0524314
"South American"	0.0519482
Norwegian	0.0519188
Jayhawks	0.0517293
Frenchwoman	0.0514545
Kiefer	0.0513491
Argentine	0.0512984
Dutch	0.0512249
husky	0.0510295
Cornhusker	0.0510131
OSU	0.0499518
"Los Angeles Galaxy"	0.0497825
"Red Storm"	0.0497249
Brazilian	0.0495127
Trojan	0.0493754
Brit	0.0492941
Stoltenberg	0.049226
"Trail Blazers"	0.0489784
wildcat	0.0487591
Medvedev	0.0486978
bruin	0.0486715
Danish	0.0486618
Testud	0.0485257
terrapin	0.0482217
Boilermakers	0.0479691
"blue devil"	0.0479429
Spartan	0.0478863
Capriati	0.0478664
Rusedski	0.0478653
Wolfpack	0.0476924
rios	0.0474476
Moya	0.0473745
Dane	0.0473377
Huskers	0.0473163
"West Indian"	0.0472243
Yugoslavian	0.0472182
Illini	0.0469456
"Tar Heels"	0.0469279
"TOMS RIVER"	0.0467751
Sampras	0.0467394
Rafter	0.0465799
pacer	0.0462409
"American Michael Chang"	0.0462194
Californian	0.0461977
Woodforde	0.0458771
"Crimson Tide"	0.0457567
Ferraris	0.0456858
Hokies	0.045584
niner	0.045451
Woodruff	0.0449707
"Ian Thorpe"	0.0449073
"Van Roost"	0.0448462
Asian-American	0.0447915
"major-league team"	0.0447071
shuttlers	0.0445357
Vols	0.0444029
Novotna	0.0442795
"South Korean"	0.0442611
Knick	0.0441301
Seles	0.0441046
Swedish	0.0440376
Celtics	0.0440123
UConn	0.0439938
Gustafsson	0.0437464
sabre	0.0436523
schoolboy	0.0436138
Laker	0.0436035
"Grant Hackett"	0.0433539
sixer	0.0432523
matador	0.0431822
Schett	0.0431227
Coetzer	0.0430343
A.L.	0.0429949
Majoli	0.0428737
Darryl	0.0428728
Briton	0.0428562
bearcat	0.0428288
wallaby	0.0426993
Kansan	0.0426815
ASTROS	0.04267
bloke	0.0426503
Seminoles	0.0426122
Corretja	0.0423634
Mavs	0.0422979
gamecock	0.0422302
Gonzaga	0.0421869
Pepperdine	0.0421437
bulldog	0.0421253
cougar	0.0421026
dodger	0.0419577
Scottish	0.0419437
oiler	0.041937
Doohan	0.041931
Schalken	0.0419073
Sox	0.0418694
Panamanian	0.041782
Scot	0.04176
Hingis	0.0417276
"Red Wings"	0.0416861
Cavs	0.0416803
comet	0.041628
Ivanisevic	0.0415974
Kafelnikov	0.0415424
BEARS	0.0413596
UMass	0.0413143
Sonics	0.0413125
Minnesotan	0.0411486
Rosset	0.0410969
Wolverine	0.041007
grizzly	0.0409997
"South Koreans"	0.0408859
Thorpe	0.0408669
varsity	0.0408653
Redskin	0.0407563
Colombian	0.0407284
Timberwolves	0.0407163
Henman	0.0406993
Romanian	0.0406853
Canuck	0.040595
PSG	0.0405199
Aggies	0.0404995
Gators	0.0404865
falcon	0.0404831
"Susie O'Neill"	0.0403589
CSUN	0.0403583
Jamaican	0.0403392
Moroccan	0.0401971
spikers	0.0401481
"Deon Hemmings"	0.0401328
Borg	0.0400306
Texan	0.0400292
mountaineer	0.0400214
))
(Austen (desc 3014.82) (sims
"Jane Austen"	0.19879
Balzac	0.140881
Nabokov	0.129124
"Elmore Leonard"	0.122655
"John Irving"	0.104663
Melville	0.0981261
Wilde	0.0949945
Updike	0.0934971
Dickens	0.0908484
Proust	0.0902872
"John Grisham"	0.0898223
"Graham Greene"	0.0891363
"Stephen King"	0.087904
Pushkin	0.085683
"Charles Dickens"	0.084948
Carre	0.0843524
"Victor Hugo"	0.0842304
Burroughs	0.0830409
Steinbeck	0.0818532
"George Orwell"	0.0805245
McEwan	0.0796417
Kafka	0.0785703
"F. Scott Fitzgerald"	0.0780982
Grisham	0.077008
Kerouac	0.0763047
Bellow	0.0753761
Plath	0.0747636
Sade	0.0747314
"Toni Morrison"	0.0733894
"Henry James"	0.0731561
Orwell	0.0727601
Bowles	0.0723478
Dumas	0.0696936
Susann	0.0696115
"James Joyce"	0.0689397
Baum	0.0682744
Chappell	0.0678324
Hemingway	0.0675675
Theroux	0.0659368
"Philip Roth"	0.0656051
Yeats	0.0654057
Tolstoy	0.0651479
Joyce	0.0647243
Rushdie	0.0630536
"this @@@@"	0.0626521
Wolfe	0.062601
"Oscar Wilde"	0.0623636
Wharton	0.0622626
"Vladimir Nabokov"	0.0615963
Dickensian	0.0604908
Seuss	0.0603798
Thoreau	0.0602349
"Frank Rich"	0.0598839
"James Jones"	0.0598098
Lurie	0.0592912
"Sherlock Holmes"	0.0591939
Godwin	0.0587476
Faulkner	0.058678
Scarpetta	0.0584692
Hammett	0.0581475
Gorey	0.0578429
"Ernest Hemingway"	0.0575003
McMurtry	0.057271
Chaucer	0.0571986
Chekhov	0.0571932
Rowling	0.0571427
Dostoyevsky	0.0569156
"Raymond Chandler"	0.0563196
Irving	0.0562607
"William Faulkner"	0.0561387
Nijinsky	0.0558215
Morrison	0.0553199
Welty	0.0552956
Goethe	0.0551507
"Akira Kurosawa"	0.0551297
"J.D Salinger"	0.0541466
"Samuel Beckett"	0.0537977
Dickinson	0.0537838
amis	0.0535815
"John Updike"	0.0534892
Vonnegut	0.0533826
"Mark Twain"	0.0526976
Salinger	0.0522618
Conrad	0.0521172
Gielgud	0.0511309
Puzo	0.0508727
"Tom Wolfe"	0.0507989
Bech	0.0499652
"Michael Crichton"	0.0495976
Plante	0.0494196
Higginson	0.0489374
Solzhenitsyn	0.0485372
"E.L Doctorow"	0.0485271
Higgins	0.048497
Irish-American	0.0481918
Borges	0.0480237
Bengali	0.0479289
Ruskin	0.0479266
"Bill Moyers"	0.0478224
Lew	0.0474766
Postol	0.0466124
Kincaid	0.0463799
Beckett	0.0462529
Sheehy	0.0461321
Alexie	0.0460053
Lennon	0.0459939
Catch-@@	0.0458365
"J.K Rowling"	0.0454912
Miyazaki	0.0452849
Archimedes	0.0451666
Eliot	0.045034
Guinness	0.0450279
Spenser	0.0450206
"Nora Ephron"	0.0449283
"Edith Wharton"	0.0447111
Sanan	0.0445574
Schell	0.0443637
Klemperer	0.0441666
Gaines	0.0440247
escapist	0.0438056
Sinatra	0.0435816
"Emily Dickinson"	0.0433249
Hayworth	0.043051
Bliley	0.0428163
Clancy	0.042601
Oswald	0.0425012
Miyake	0.0424771
audubon	0.0424319
Trollope	0.0423306
Coelho	0.0422597
Sargent	0.0422207
"Lewis Carroll"	0.0421972
Stroganoff	0.0419467
Mayberry	0.0419306
Parrish	0.0417415
Harbison	0.0415119
Pyle	0.0411611
"Jekyll and Hyde"	0.0411294
"Hannibal Lecter"	0.0411162
Naipaul	0.0405661
Harlequin	0.0404135
Edson	0.0404063
Holzman	0.0402542
"Herman Melville"	0.040119
Hamdoon	0.0400444
"Forrest Gump"	0.0400214
"Peter Pan"	0.0400047
))
(austerity (desc 8753.11) (sims
"spending cut"	0.137207
"cost cutting"	0.115971
"land reform"	0.108868
frugality	0.106642
decentralization	0.106475
"budget cut"	0.103512
prudence	0.103213
Liberalization	0.101094
stabilization	0.100447
stimulus	0.0998404
belt-tightening	0.0984935
restraint	0.0971258
retrenchment	0.0944213
"market reform"	0.0940284
"deficit reduction"	0.0935126
"tax hike"	0.0900908
deregulation	0.0887057
nonviolence	0.0871568
Openness	0.0867108
self-reliance	0.0863338
"tax reduction"	0.085072
cutback	0.0845509
discipline	0.0826131
"tax increase"	0.0822138
overhaul	0.0809297
Tightening	0.0806107
accountability	0.0804072
"free trade"	0.0796622
rationing	0.0790655
transparency	0.0789303
democratization	0.0779747
modernization	0.0776575
pacifism	0.0764621
Shays-Meehan	0.0755498
protectionism	0.0743143
"free enterprise"	0.0738811
probity	0.0733305
pragmatism	0.0732529
reduction	0.0731697
neutrality	0.0725236
expansionist	0.0724291
self-censorship	0.072114
self-restraint	0.0718714
eugenics	0.0718312
Privatization	0.0717642
reorganization	0.0715179
"wage freeze"	0.0704798
"economic policy"	0.0702761
revitalization	0.0701074
diversification	0.0697025
readjustment	0.0688782
"tax cut"	0.0687628
tolerance	0.068239
containment	0.0672701
"family planning"	0.0672044
efficiency	0.0666019
adjustment	0.0662901
consolidation	0.0657809
governance	0.0655048
stagnation	0.065408
nonintervention	0.065295
confidentiality	0.0640388
moderation	0.0637406
downsizing	0.0637066
nonalignment	0.0636845
enforcement	0.0635213
abstinence	0.0631665
"price control"	0.0625531
subsidy	0.0625189
"gun control"	0.0622339
liquidity	0.062004
"trade policy"	0.0617171
secrecy	0.0614846
"market economy"	0.0614297
flexibility	0.0613211
"Agenda @@@@"	0.0607927
opening-up	0.0602593
"shock therapy"	0.0601639
selflessness	0.0601218
rectification	0.060039
segregation	0.0598757
five-point	0.059868
"rule of law"	0.059837
PASSES	0.0597894
detente	0.059408
bailout	0.058946
oversight	0.0586971
bipartisanship	0.058659
self-discipline	0.0582734
fairness	0.0581134
teamwork	0.0580109
dollarization	0.0577893
professionalism	0.0574136
self-sufficiency	0.0574114
rollback	0.0573491
GST	0.0572033
quarantine	0.0570366
"racial segregation"	0.056983
crunch	0.0568764
devolution	0.0567592
censorship	0.0567231
stimulation	0.0566378
"policy change"	0.0565639
oil-for-food	0.0565556
incentive	0.0565443
divestiture	0.0565418
nationalization	0.0564488
noninterference	0.05642
reconciliation	0.0561762
"internal control"	0.0559678
eradication	0.0558182
appropriation	0.0554826
self-control	0.0553945
honesty	0.055052
deflation	0.0550141
easing	0.0550014
retention	0.0549658
conservatism	0.0546371
"tax break"	0.054245
deterrence	0.054061
reconstruction	0.0537601
leniency	0.0536452
mitigation	0.0535885
restructuring	0.0531598
market-oriented	0.0531358
ODA	0.0531111
stopgap	0.0530487
"hard work"	0.053044
closings	0.0529517
one-China	0.0526882
secularism	0.052681
thrift	0.0526437
straitjacket	0.0526033
"capital expenditure"	0.0524923
downturn	0.0524014
closure	0.0523384
"arms control"	0.0522144
disarmament	0.0521962
appeasement	0.052166
layoff	0.0521044
self-determination	0.0520318
autonomy	0.0519905
privatisation	0.0519437
moratorium	0.0519201
restructurings	0.0519086
turbulence	0.0518121
"population control"	0.0517667
reciprocity	0.0516713
Relenza	0.0515721
renewal	0.0513018
alleviation	0.051241
"birth control"	0.0512173
"tax incentive"	0.0512045
unity	0.0511985
purity	0.0511583
regionalization	0.0511303
protectionist	0.0511025
parity	0.0509643
hegemony	0.0509556
stylishness	0.0508642
shakeup	0.0508218
"common sense"	0.050774
rectitude	0.0505849
integration	0.0504855
isolation	0.050231
"tax system"	0.0501891
expenditure	0.0500756
hygiene	0.0500281
mobilization	0.049946
nonproliferation	0.0498404
constraint	0.049662
"rapid growth"	0.0496268
shortfall	0.0495156
"budget deficit"	0.0494115
innovation	0.0493998
separation	0.049379
pluralism	0.0491896
"living wage"	0.0491118
"financial aid"	0.0491094
rigor	0.049037
conservation	0.0489489
"security measures"	0.0489192
"customer service"	0.0488589
sluggishness	0.0487612
realignment	0.0487064
taxation	0.0486819
"equal opportunity"	0.0485918
enlargement	0.0485853
stewardship	0.0485823
integrity	0.0485822
procrastination	0.0485411
downturns	0.0485358
Systems	0.0484253
NMD	0.0484252
devaluation	0.0483413
"pay raise"	0.048266
revision	0.0482136
Non-Proliferation	0.0481875
modesty	0.0481206
"price support"	0.0481048
))
(Austin (desc 60983.3) (sims
"Los Angeles"	0.174913
"Fort Worth"	0.171553
"San Francisco"	0.17149
Houston	0.169339
"San Antonio"	0.167529
Chicago	0.163212
Dallas	0.161485
Atlanta	0.160059
Boston	0.155458
Minneapolis	0.149341
Albany	0.148369
Phoenix	0.148323
Tampa	0.147819
Orlando	0.147555
"New York"	0.147519
"Las Vegas"	0.146936
Denver	0.143753
"Little Rock"	0.143445
"Kansas City"	0.143406
Philadelphia	0.142841
Seattle	0.14216
Nashville	0.141909
"El Paso"	0.14119
Newark	0.13951
Miami	0.138066
"San Diego"	0.136662
"New York City"	0.136061
Arlington	0.135425
Baltimore	0.135034
"St. Louis"	0.131423
Portland	0.131384
"New Orleans"	0.130378
Cambridge	0.129685
Columbus	0.129628
Washington	0.127393
LONDON	0.126095
Tucson	0.125661
Memphis	0.125352
"San Jose"	0.125025
Detroit	0.12361
"Oklahoma City"	0.122992
Manhattan	0.122948
"Salt Lake City"	0.122898
Sacramento	0.121972
TALLAHASSEE	0.121081
"West Palm Beach"	0.120862
Albuquerque	0.120695
Rochester	0.120606
Indianapolis	0.120533
Honolulu	0.120342
"Palo Alto"	0.118679
Hartford	0.117987
Beaumont	0.115505
Cincinnati	0.115005
Birmingham	0.114949
Raleigh	0.114436
California	0.114402
Richmond	0.114251
"Fort Lauderdale"	0.114106
Cleveland	0.11406
"Corpus Christi"	0.113704
Brownsville	0.113064
"Mexico City"	0.113044
Milwaukee	0.112921
Charlotte	0.11275
"Des Moines"	0.112555
Dayton	0.112481
"St. Petersburg"	0.111461
Charleston	0.111341
Brooklyn	0.111191
Greenville	0.111052
Pittsburgh	0.111028
Paris	0.110787
Montreal	0.109738
Wilmington	0.109221
BOGOTA	0.108715
Florida	0.108701
Toronto	0.108647
"New Haven"	0.106611
Buffalo	0.106551
Berkeley	0.105135
Texas	0.104812
Lubbock	0.104314
"Southern California"	0.104211
Wichita	0.103971
Moscow	0.103693
"New Jersey"	0.103531
Louisville	0.103218
Tokyo	0.103158
Springfield	0.102656
Omaha	0.102592
Vancouver	0.101754
L.A	0.101662
Galveston	0.10123
Alexandria	0.101111
Havana	0.100997
Waco	0.100836
Akron	0.100734
Providence	0.100713
Pasadena	0.100537
Dublin	0.100263
TRENTON	0.0999697
"Long Beach"	0.0996834
Oakland	0.0993203
Concord	0.0990197
midland	0.0985073
Sydney	0.0978852
MELBOURNE	0.0977739
"Santa Fe"	0.0974649
"Tel Aviv"	0.0970962
Belfast	0.0970908
Manchester	0.0968577
Pristina	0.0967305
"San Juan"	0.0966382
Savannah	0.0963618
"Palm Beach"	0.0958284
Rome	0.0955971
Lexington	0.0955317
"Santa Monica"	0.0952106
Greenwich	0.0951976
Tempe	0.0951554
SEOUL	0.0951442
Laredo	0.0951192
"Beverly Hills"	0.09462
Geneva	0.0945517
"White Plains"	0.0937419
Berlin	0.0933715
Boise	0.0927856
Amarillo	0.0926452
Massachusetts	0.0923173
Spokane	0.0921332
BEIJING	0.091957
Vienna	0.0919088
"Overland Park"	0.0911314
Iowa	0.0911121
"Bay Area"	0.0910427
Stamford	0.0906506
Prague	0.0905015
ATHENS	0.0904497
Jasper	0.0901263
"Boca Raton"	0.0896421
"Silicon Valley"	0.0895606
"St. Paul"	0.08919
Bridgeport	0.088724
Huntsville	0.0886881
Tulsa	0.0881405
Texarkana	0.0876791
"Baton Rouge"	0.0874247
Taipei	0.0870959
anchorage	0.0870637
CAIRO	0.0870021
Madison	0.0868095
Gainesville	0.0866744
Jacksonville	0.086643
"The Bronx"	0.0865532
Worcester	0.0865519
"Guatemala City"	0.0865246
Harrisburg	0.0864449
Shanghai	0.086434
JOHANNESBURG	0.0864335
"Dallas-Fort Worth"	0.0863166
Knoxville	0.0862818
Naples	0.0859606
Arizona	0.0858741
Pennsylvania	0.0858683
Sarajevo	0.0857988
Virginia	0.0856085
Hawaii	0.0855503
Michigan	0.0855369
Bedford	0.0854937
"Colorado Springs"	0.0854523
Georgia	0.0850517
Santiago	0.0847963
Abilene	0.0847391
Longview	0.0842948
"Wichita Falls"	0.0841274
Arkansas	0.0839648
Munich	0.0839447
"Cape Town"	0.083861
Lima	0.0837413
"Washington D.C."	0.0837029
"Buenos Aires"	0.0835262
Chattanooga	0.0832667
Minnesota	0.0830801
city	0.0828141
"New Hampshire"	0.0826873
Flagstaff	0.082682
"South Florida"	0.0826161
Scottsdale	0.0824559
Jakarta	0.0821166
Norfolk	0.0819763
Pretoria	0.081884
WARSAW	0.0818789
Portsmouth	0.0812161
"Kuala Lumpur"	0.0810207
Beirut	0.0809526
BRUSSELS	0.0809107
Amman	0.080831
"College Station"	0.0807373
Sarasota	0.0804403
))
("Austin American-Statesman" (desc 3075.69) (sims
"Palm Beach Post"	0.310235
"Atlanta Constitution"	0.239235
"Atlanta Journal-Constitution"	0.228641
"Village Voice"	0.227224
"Fort Worth Star-Telegram"	0.215463
American-Statesman	0.202997
"Washington Times"	0.193609
"Miami Herald"	0.191478
"Chicago Tribune"	0.186514
Haaretz	0.185848
"New York Observer"	0.178239
"San Francisco Examiner"	0.178239
"New York Daily News"	0.176235
"Dayton Daily News"	0.174158
"Los Angeles Times"	0.172242
"Arizona Republic"	0.168851
"Washington Post"	0.168662
"Houston Chronicle"	0.167369
"Des Moines Register"	0.167256
"New York Post"	0.16367
"Cincinnati Enquirer"	0.155608
Star-Ledger	0.153877
"New York Times Magazine"	0.152933
"Daily Telegraph"	0.152165
"Kansas City Star"	0.152101
"Dallas Morning News"	0.151699
"Cox News Service"	0.149754
"National Journal"	0.149629
"International Herald Tribune"	0.149297
"San Antonio Express-News"	0.149142
"Boston Globe"	0.148313
"Wall Street Journal"	0.147387
"New Republic"	0.144666
"San Francisco Chronicle"	0.144111
"USA TODAY"	0.143227
"Atlanta Journal"	0.142333
"Daily News"	0.141464
"Advertising Age"	0.138448
Newsweek	0.138376
"Financial Times"	0.138108
Maariv	0.137311
"New Straits Times"	0.135968
"Denver Post"	0.135884
"Atlantic Monthly"	0.135317
"Detroit News"	0.131409
Newsday	0.131122
"St. Louis Post-Dispatch"	0.128874
"Chicago Sun-Times"	0.127233
"San Jose Mercury News"	0.126931
"Rolling Stone"	0.126442
"Philadelphia Inquirer"	0.125259
"Boston Herald"	0.124655
Oregonian	0.123485
Star-Telegram	0.121222
"Straits Times"	0.119895
"vanity fair"	0.118189
"New York Times"	0.116574
"Sydney Morning Herald"	0.112969
"Jerusalem Post"	0.112797
Post-Intelligencer	0.112048
"Le Figaro"	0.108899
Esquire	0.108047
"New York Herald Tribune"	0.107951
Times	0.107192
"Cox Newspapers"	0.106354
"Le Monde"	0.103326
"El Mundo"	0.103182
"TV guide"	0.10283
"Los Angeles Daily News"	0.102617
Granma	0.102585
telegraph	0.102537
"Hollywood Reporter"	0.10044
"New England Journal"	0.10041
"Der Spiegel"	0.099665
"Koha Ditore"	0.0987669
"American Journal"	0.0984282
JAMA	0.0974475
Enquirer	0.0967689
"United Press International"	0.096267
"Daily Mail"	0.0954221
"Seattle Post-Intelligencer"	0.0949136
"Seattle Times"	0.0944867
"World Report"	0.0926149
"Hartford Courant"	0.0924064
"Evening Standard"	0.0913586
"Orange County Register"	0.090215
Tennessean	0.0898774
"Detroit Free Press"	0.08833
"Business Times"	0.0880038
globe	0.0879035
TheStreet.com	0.0874993
"Sports Illustrated"	0.0863447
"National Post"	0.0858136
Salon.com	0.0853931
"Guangming Daily"	0.0851841
Lancet	0.0850934
"El Pais"	0.0824111
"news service"	0.0798367
"Business Week"	0.0796466
Ledger	0.0782516
"South China Morning Post"	0.0781863
"Weekly Standard"	0.076145
al-Hayat	0.0761015
"Al Hayat"	0.0750155
"Yediot Ahronot"	0.073193
"Tehran Times"	0.0731739
"Associated Press"	0.0722689
Kommersant	0.072155
gazette	0.071836
"Moscow Times"	0.0713976
"New York Times Book Review"	0.0712415
"tabloid newspaper"	0.0711909
"Macao Daily News"	0.0711491
tabloid	0.0706684
vogue	0.0698254
Reforma	0.0695406
"Asahi Shimbun"	0.0692523
"U.S. News"	0.0691508
"roll call"	0.0689338
"wire service"	0.0684466
Inquirer	0.0683885
Bild	0.0671432
frontpage	0.067057
Guardian	0.0666865
tribune	0.0662901
"Post Express"	0.0661903
Salam	0.0659766
"Daily Racing Form"	0.0655823
"Radio Free Asia"	0.065416
Al-Ahram	0.0651845
Al-Thawra	0.0646804
OED	0.0644906
newsletter	0.0643237
Izvestia	0.0639081
"New York Review"	0.0632513
"Business Day"	0.0632435
Hurriyet	0.0632358
"Free Press"	0.0631182
"Wear Daily"	0.0622699
GP	0.0608472
Politika	0.0606705
Reuters	0.0604315
Asahi	0.0598839
WAM	0.0595171
"Yomiuri Shimbun"	0.0589614
periodical	0.0584214
IRNA	0.0584119
"Radio Liberty"	0.0582812
"Ethiopian Herald"	0.058164
"Daily Star"	0.0579223
"Al Ahram"	0.0578434
salon	0.0577516
"Dow Jones Newswires"	0.0571153
Noticias	0.0570158
Sowetan	0.0567711
"Sporting News"	0.055936
"NBC News"	0.0558303
L'Equipe	0.0556234
obit	0.055017
"trade publication"	0.0549458
"Indonesian Observer"	0.0539896
"Daily Nation"	0.0539438
"Nihon Keizai"	0.053571
yearbook	0.0532197
"Ghana News Agency"	0.0530756
"National Enquirer"	0.0526075
"Financial Mail"	0.0525979
Journal-Constitution	0.0525613
"Jakarta Post"	0.0524151
"Bloomberg News"	0.0523124
"New Nigerian"	0.052094
MTI	0.0518861
ESPN.com	0.0517714
Brasil	0.0513771
"Dateline NBC"	0.0511024
Sera	0.051067
"Daily Times"	0.0508809
"U.S. Labor Department"	0.0508171
"Gallup Poll"	0.0506865
"Iran News"	0.0500591
"Egyptian Gazette"	0.050043
"Ethiopian News Agency"	0.0499224
"National Geographic"	0.0497692
BBC	0.0493006
examiner	0.0492611
Itogi	0.0490897
"Turkish Daily News"	0.048825
"Jordan Times"	0.0488048
CTV	0.0486992
BS	0.0486726
Notimex	0.0485549
"Cable News Network"	0.0485479
"The New Vision"	0.0484097
Ansa	0.0481802
"East African"	0.0478139
"East African Standard"	0.0475576
"Kathmandu Post"	0.0472547
ATA	0.0471858
"Zimbabwe News Agency"	0.0471111
"Cyprus News Agency"	0.0470905
))
("Austin Croshere" (desc 3262.84) (sims
"Dale Davis"	0.339079
"Rik Smits"	0.303498
"Jalen Rose"	0.299113
"Mark Jackson"	0.288772
"Chris Mullin"	0.265104
"Travis Best"	0.229074
"Antonio Davis"	0.211379
"Maurice Taylor"	0.195434
"Sam Perkins"	0.178058
Croshere	0.177317
"Reggie Miller"	0.17595
"Rashard Lewis"	0.173009
"Detlef Schrempf"	0.164828
"A.C. Green"	0.155135
"Kurt Thomas"	0.153188
"Brian Grant"	0.152899
"Rick Fox"	0.151203
"Gary Trent"	0.147842
"Lamond Murray"	0.147811
"Tracy McGrady"	0.146593
"Gabe Muoneke"	0.145236
"Grant Long"	0.143245
"Corliss Williamson"	0.141209
"Scot Pollard"	0.137707
"Glenn Robinson"	0.135635
"Clifford Robinson"	0.135354
"Ruben Patterson"	0.133497
Mullin	0.132698
"Tyrone Nesby"	0.13183
"Tim Thomas"	0.131547
"Grant Hill"	0.130021
"Michael Dickerson"	0.129761
"Bonzi Wells"	0.128793
"Shandon Anderson"	0.128102
"Alan Henderson"	0.127377
"Christian Laettner"	0.126116
"Samaki Walker"	0.125853
"Keith Van Horn"	0.125813
"Robert Horry"	0.125608
"Juwan Howard"	0.125172
"Cedric Ceballos"	0.124404
"Jerome Kersey"	0.124225
"J.R Reid"	0.122873
"Michael Wright"	0.122852
"Kenny Thomas"	0.120576
"Rodney Rogers"	0.119758
"Hersey Hawkins"	0.118919
"CORIE BLOUNT"	0.118864
"Al Harrington"	0.117005
"Clarence Weatherspoon"	0.116676
"Kevin Freeman"	0.116134
"Antawn Jamison"	0.115826
"Mark Madsen"	0.115573
"Rasheed Wallace"	0.115287
"Shawn Marion"	0.114286
"John Wallace"	0.113629
"Dale Ellis"	0.113535
"Danny Fortson"	0.113278
"Mitch Richmond"	0.113179
"Dirk Nowitzki"	0.112075
"Marcus Fizer"	0.111805
"Theo Ratliff"	0.111064
"Chris Crawford"	0.109789
"Raef LaFrentz"	0.109608
"Tamika Catchings"	0.1087
"Chris Gatling"	0.108675
"Jonathan Bender"	0.10836
"Matt Harpring"	0.107955
"Sean Farnham"	0.107725
"Kenyon Martin"	0.107648
"Pat Garrity"	0.107575
"Matt Geiger"	0.107088
"Joe Smith"	0.106756
"Ron Mercer"	0.106506
"Jelani McCoy"	0.106391
"Jerome Moiso"	0.10556
"Ron Artest"	0.105552
"DeLisha Milton"	0.105157
"Eddie Jones"	0.104976
"Derrick Coleman"	0.104456
"Brian Shaw"	0.104363
"Jarvis Turner"	0.104158
"Paul Pierce"	0.104022
Smits	0.10392
"Stern John"	0.103019
"Chris Webber"	0.102743
"Brian Skinner"	0.0995843
"Mike Miller"	0.0993057
"Shannon MacMillan"	0.0990901
"Karl Malone"	0.0989294
"Jermaine O'Neal"	0.0981621
"Jamal Mashburn"	0.0981448
"Matt Bullard"	0.0981095
"Chris Porter"	0.0979766
"Terry Porter"	0.0978402
"Antoine Walker"	0.0978152
"Hu Weidong"	0.0976599
"Travis Knight"	0.0976581
"Jamie Feick"	0.0974754
"Tim Duncan"	0.0969021
"Bobby Phills"	0.0966458
"Morris Peterson"	0.0964968
"Ron Harper"	0.0961998
"Ante Razov"	0.0959706
"Dikembe Mutombo"	0.0952775
"Sheryl Swoopes"	0.0951682
"Matt Barnes"	0.0950366
"Brad Miller"	0.0948426
"Alexei Kovalev"	0.0941126
"Tom Gugliotta"	0.093907
"Theo Fleury"	0.0937627
"Otis Thorpe"	0.0934006
"Vin Baker"	0.0931567
"Horace Grant"	0.0927221
"Vince Carter"	0.0925676
"Chris Anstey"	0.0925003
"Sean Rooks"	0.0922348
"SCOTT BURRELL"	0.0921758
"Joe Thornton"	0.0915851
"Kris Clack"	0.0915476
"JaRon Rush"	0.0914822
"Etan Thomas"	0.0911326
"P.J Brown"	0.0910702
"Richard Hamilton"	0.0910484
"Rick Tocchet"	0.0906152
"Chris Drury"	0.0903433
"Danny Manning"	0.0903325
"Richard Jefferson"	0.0902622
"Shane Battier"	0.0901912
"Michael Finley"	0.0896526
"Othella Harrington"	0.0895453
"Jaren Jackson"	0.0890863
"Antonio McDyess"	0.0889505
"Charles Oakley"	0.0889203
"Tina Thompson"	0.0888347
"Antoine Carr"	0.0887508
"Kevin Garnett"	0.0886632
"Charles Barkley"	0.0884962
"Jumaine Jones"	0.0878785
"Robert Traylor"	0.0877813
"Milan Hejduk"	0.0876458
"Billy Owens"	0.0870493
"Patrik Stefan"	0.0870344
"Bill Guerin"	0.0870342
"Jeff Friesen"	0.0869101
"Glen Rice"	0.0864079
"Chris Taylor"	0.0863196
"Eric Snow"	0.0862092
"Kerry Kittles"	0.085608
"Wally Szczerbiak"	0.0850059
Mashburn	0.084774
"Elden Campbell"	0.0847303
"Greg Anthony"	0.0846428
"Sam Clancy"	0.0843204
"Brian Scalabrine"	0.084102
"Dickey Simpkins"	0.0840318
"Brian McBride"	0.0838407
"Larry Hughes"	0.0838353
"Stephon Marbury"	0.0837077
"Chris Carrawell"	0.0836727
"John LeClair"	0.0835681
"Wendel Clark"	0.0833413
"Penny Hardaway"	0.0832849
"Jerry Stackhouse"	0.0830047
"Derek Fisher"	0.0829865
"Corey Maggette"	0.0828228
"Elton Brand"	0.0825009
"Jason Williams"	0.0824911
"Donyell Marshall"	0.0821976
"Larry Johnson"	0.0821119
"Dennis Scott"	0.0817444
"Anson Carter"	0.0817308
"Bryon Russell"	0.0812181
"Arvydas Sabonis"	0.0810937
"Walt Williams"	0.0808097
"Sean Elliott"	0.0807634
"Shawn Kemp"	0.0804179
"Aaron Williams"	0.0803192
"Joe Dumars"	0.0800625
"Toni Kukoc"	0.0800356
"Shareef Abdur-Rahim"	0.0800193
"Predrag Mijatovic"	0.0798186
"Eric Murdock"	0.0797428
"Doug Gilmour"	0.0794891
"Adrian Griffin"	0.0793723
"Brent Barry"	0.0793099
"Van Horn"	0.0791928
"George McCloud"	0.0788988
"Steve Francis"	0.0787603
"Rico Hines"	0.0787046
"Mark Bryant"	0.0782888
"Tony Battie"	0.0780014
"Olli Jokinen"	0.0774486
"Cuttino Mobley"	0.077189
"Kendall Gill"	0.0767764
"Darrell Armstrong"	0.0765205
"Jayson Williams"	0.0764775
"Peter Forsberg"	0.0761784
"David Wesley"	0.0761734
"Alen Boksic"	0.076099
))
("Austin Powers" (desc 9199.89) (sims
"Star Wars"	0.128824
"Indiana Jones"	0.123193
Tarzan	0.116748
"James Bond"	0.105876
"Big Daddy"	0.10195
"Toy Story"	0.0986615
"American Pie"	0.0961383
"Star Trek"	0.0958691
"Notting Hill"	0.0945679
"Inspector Gadget"	0.0934365
"Runaway Bride"	0.0931075
"Wild Wild West"	0.0897125
Rugrats	0.0883194
prequel	0.0878778
Batman	0.0852661
"Meet Joe Black"	0.0837964
"Lethal Weapon"	0.0826694
"Phantom Menace"	0.0822757
"Blair Witch"	0.0803072
"Forrest Gump"	0.0791441
"South Park"	0.078103
Godzilla	0.0777531
"Jerry Maguire"	0.0777227
"George Lucas"	0.0766571
EdTV	0.07631
E.T	0.0745123
Zorro	0.0743879
"Eyes Wide Shut"	0.0740843
"Patch Adams"	0.0738835
"Jurassic Park"	0.0735316
Dolittle	0.0732463
"Toy Story @"	0.0730493
"Animal House"	0.0713978
lassie	0.0711047
Armageddon	0.0705084
"Erin Brockovich"	0.0696687
"Dirty Dancing"	0.0688754
X-MEN	0.0680638
Terminator	0.0678847
Titanic	0.0677602
"Pulp Fiction"	0.0677224
Bowfinger	0.066993
"sixth sense"	0.0669513
Pokemon	0.0656933
Dilbert	0.0655182
Matrix	0.0654481
Tootsie	0.0653495
"Wes Craven"	0.065295
Evita	0.0651838
"Lion King"	0.0648351
Pleasantville	0.0647026
"Stuart Little"	0.0645763
"John Waters"	0.0645529
"Blair Witch Project"	0.0639099
Frankenstein	0.0637202
rocky	0.0635143
sequel	0.0633419
babe	0.0630712
Mulan	0.0625625
entrapment	0.0618838
X-Files	0.0614779
Superman	0.0612806
Halloween	0.0611289
Ronin	0.0606161
Hoosier	0.0604895
"Cruel Intentions"	0.0604637
"Boogie Nights"	0.060417
superhero	0.060377
"Mickey Blue Eyes"	0.0601832
Trainspotting	0.060152
"Galaxy Quest"	0.0597482
mummy	0.0595681
"Stanley Kubrick"	0.0592759
godfather	0.0592352
"Eddie Murphy"	0.0592269
"Brady Bunch"	0.0592042
"Woody Allen"	0.0590878
Zapruder	0.0585216
"Frank Capra"	0.0580221
Gladiator	0.0578764
"Neil LaBute"	0.0578678
IMAX	0.0578591
Hercules	0.0577929
"snake eyes"	0.0577599
"Smoke Signals"	0.0576971
Rambo	0.0576783
"Natural Born Killers"	0.0573922
"Saving Private Ryan"	0.0571378
"American Beauty"	0.0568571
cartoon	0.0567901
Antz	0.0567148
"chicken run"	0.0565745
slasher	0.0559035
Goodfellas	0.0556106
"Scary Movie"	0.0554946
"Being John Malkovich"	0.0553916
McCourt	0.0553195
Elvis	0.0553101
"Night Live"	0.0550924
Bulworth	0.0550163
"Rat Pack"	0.0549367
"Arnold Schwarzenegger"	0.0548675
"high fidelity"	0.0546562
FARGO	0.054141
"wing commander"	0.0539388
Flintstone	0.0534564
"Kevin Costner"	0.0531732
Rushmore	0.0525941
"comic book"	0.0525577
"Harry Potter"	0.0524659
"Darth Vader"	0.052452
remake	0.0523017
Seinfeld	0.0522554
swinger	0.0521104
"Spike Lee"	0.0520866
"Velvet Goldmine"	0.0518314
Powers	0.0518249
"Pretty Woman"	0.0514508
Selena	0.0512063
Footloose	0.0511191
thriller	0.0510184
ape	0.0509956
"Fight Club"	0.05098
"Double Jeopardy"	0.0504195
"Marlon Brando"	0.0502964
"Sesame Street"	0.0502644
Myst	0.050226
"Mickey mouse"	0.050036
Sandler	0.0497022
"Citizen Kane"	0.0496034
"motion picture"	0.049456
flick	0.049303
"Ally McBeal"	0.0491255
"David Lynch"	0.0489391
Spielberg	0.0488761
Farrellys	0.0487353
"David Spade"	0.0486839
Shakespeare	0.0485834
ROUNDERS	0.0485098
Jawbreaker	0.0482069
psycho	0.0480437
"Top Gun"	0.0480132
"King Kong"	0.0478772
Barney	0.0478624
Teletubbies	0.0477391
Buffy	0.0476352
"wild West"	0.0476239
"television show"	0.0475389
noir	0.0475153
Beatles	0.0473263
FloJo	0.0471575
trilogy	0.04705
Magnolia	0.0470259
"wonder boy"	0.0470193
"Robert Altman"	0.0469159
"Oliver Stone"	0.0468495
Simpsons	0.0468193
Schwarzenegger	0.0465921
Kubrick	0.0464756
"Clint Eastwood"	0.0463476
Travolta	0.0460712
"L.A Confidential"	0.0459866
"secret agent"	0.0459723
blockbuster	0.0459525
Amadeus	0.0459096
Fellini	0.0458474
Altman	0.0453846
"Steve McQueen"	0.0449873
stooge	0.0447906
"The Sopranos"	0.0447313
Fantasia	0.0447204
"Jim Carrey"	0.044398
"Lone Ranger"	0.0443765
"black person"	0.0443473
vampire	0.0442689
"Cosby Show"	0.0441638
Hepburn	0.0440934
"Opium War"	0.0440047
"James Dean"	0.0439737
"Cary Grant"	0.0439041
"Hello Kitty"	0.0439012
Sabrina	0.0438759
"Andy Kaufman"	0.0438713
Madeline	0.043829
"Leonardo DiCaprio"	0.0437799
Nickelodeon	0.0437774
"Good Will Hunting"	0.0437573
"Primary Colors"	0.043592
Malcolm	0.0435859
"Buster Keaton"	0.0434906
Intimidator	0.0434506
"Spice Girls"	0.0434498
"game show"	0.0434361
"Sylvester Stallone"	0.0433366
musketeer	0.0433129
Pinocchio	0.0432746
Lolita	0.0431225
Porno	0.0428776
"Space Cowboys"	0.0428372
"Independence Day"	0.0428261
))
(Australia (desc 158843) (sims
Canada	0.246194
"New Zealand"	0.242898
"South Africa"	0.242114
Italy	0.229698
"South Korea"	0.229507
Japan	0.226159
Germany	0.222509
Brazil	0.218996
Sweden	0.212986
France	0.21242
Spain	0.211076
Argentina	0.205771
Netherlands	0.20526
Malaysia	0.204141
Britain	0.202337
Thailand	0.201616
"United States"	0.201135
England	0.200406
India	0.195803
Denmark	0.19538
Norway	0.195373
Mexico	0.191259
Switzerland	0.186753
Finland	0.186537
Russia	0.184237
Poland	0.182722
China	0.181226
Hungary	0.179932
Belgium	0.17863
Romania	0.178036
Austria	0.176114
"Sri Lanka"	0.172733
Singapore	0.172217
Indonesia	0.169791
Egypt	0.168352
Croatia	0.165668
Ireland	0.164857
Cuba	0.163735
Ukraine	0.163469
Bulgaria	0.16314
Nigeria	0.161805
Zimbabwe	0.161259
Greece	0.159766
"Saudi Arabia"	0.15781
Pakistan	0.157196
Chile	0.156862
Portugal	0.156418
"Czech Republic"	0.155778
Philippines	0.153016
"Hong Kong"	0.152004
Scotland	0.151649
Iran	0.151435
Kenya	0.151233
Venezuela	0.148771
Colombia	0.148247
Lithuania	0.145959
Europe	0.145818
Vietnam	0.145609
Peru	0.143075
Kazakhstan	0.141407
Uruguay	0.14111
Slovakia	0.141085
country	0.140989
Bangladesh	0.139491
Jamaica	0.139196
"United Kingdom"	0.138868
Tunisia	0.138705
Turkey	0.137373
Ghana	0.136559
"Republic of Korea"	0.136211
"Costa Rica"	0.134001
Morocco	0.131931
Iceland	0.130752
Slovenia	0.130485
Algeria	0.13036
Mongolia	0.12745
Brunei	0.126671
Taiwan	0.126182
Israel	0.125712
Uzbekistan	0.124538
Nepal	0.124108
Africa	0.123801
Fiji	0.123484
Kuwait	0.12339
Paraguay	0.122465
"United Arab Emirates"	0.121854
Cambodia	0.121776
Belarus	0.120828
Asia	0.120212
Ecuador	0.119963
Yugoslavia	0.119766
"Great Britain"	0.119538
Korea	0.119245
Zambia	0.119199
U.S.	0.118183
Uganda	0.118022
Myanmar	0.117844
Panama	0.117574
Tanzania	0.116927
"Puerto Rico"	0.116899
"Chinese Taipei"	0.115907
Angola	0.115816
"Papua New Guinea"	0.115602
Latvia	0.115039
America	0.114902
Qatar	0.114752
"Dominican Republic"	0.113922
Luxembourg	0.113865
Oman	0.113859
Guatemala	0.113724
Ethiopia	0.113613
"European country"	0.11316
"North America"	0.112335
Bahrain	0.11205
Holland	0.112002
Namibia	0.111611
Estonia	0.110362
"South America"	0.11021
"The Netherlands"	0.107071
California	0.10677
Mozambique	0.106535
Syria	0.106403
Libya	0.10622
Bolivia	0.105633
"New York"	0.105425
"North Korea"	0.104099
Jordan	0.10401
Georgia	0.103982
nation	0.103967
Nicaragua	0.10377
"Latin America"	0.103623
"Asian country"	0.103252
Wales	0.102939
BEIJING	0.101461
Malta	0.101422
Laos	0.101316
Cameroon	0.100934
UK	0.100258
Senegal	0.100233
region	0.100162
Honduras	0.0996509
mainland	0.0995026
Cyprus	0.0994712
EU	0.099236
Albania	0.0989109
Florida	0.0984624
Shanghai	0.0976803
Atlanta	0.0972341
Botswana	0.0967662
Macao	0.0966291
Washington	0.0962141
Texas	0.0950673
Arizona	0.0950028
"African country"	0.0948374
Sudan	0.0939863
Mauritius	0.0938741
Miami	0.0936494
"Southeast Asia"	0.0936388
Sydney	0.0936313
Armenia	0.0936056
ROK	0.0935499
Iraq	0.0935197
"European Union"	0.0931897
LONDON	0.0927738
Moldova	0.0926399
"El Salvador"	0.0919957
Hawaii	0.0915761
Bahamas	0.0912918
"Trinidad and Tobago"	0.0912796
Taipei	0.0907895
Moscow	0.0907589
"Los Angeles"	0.0904839
Barbados	0.0904642
Yemen	0.0904043
"DPR Korea"	0.0902222
UAE	0.0900131
Kazakstan	0.0895121
"New Jersey"	0.0893276
Houston	0.0888293
Macedonia	0.0887719
"Middle East"	0.0879288
Chicago	0.0877999
Lebanon	0.086978
Paris	0.0868919
Boston	0.0867846
Haiti	0.0865075
Phoenix	0.0862289
state	0.0857014
"Soviet Union"	0.0854426
"San Francisco"	0.0849
Seattle	0.0848932
Tokyo	0.0847919
"Asian nation"	0.0846571
Mali	0.0844608
Maldives	0.0842834
Afghanistan	0.0842285
Detroit	0.0840224
Madagascar	0.0834394
Tonga	0.083201
"West Indies"	0.0831794
))
(Australian (desc 47057.4) (sims
Canadian	0.144931
Briton	0.138768
German	0.12933
American	0.127833
Filipino	0.127761
"New Zealander"	0.12632
Norwegian	0.123442
Italian	0.119137
Indonesian	0.11612
Brazilian	0.115427
Japanese	0.115268
Spaniard	0.114089
Russian	0.113788
Thai	0.113679
Austrian	0.112257
Malaysian	0.111401
"South African"	0.109669
Belgian	0.108249
Mexican	0.106371
Swede	0.105864
Swiss	0.104832
"South Koreans"	0.104662
Chinese	0.103978
British	0.100926
Hungarian	0.099997
Lebanese	0.0997809
Cambodian	0.098944
European	0.0977653
Kenyan	0.0974867
foreigner	0.0966063
Chilean	0.0963091
Jordanian	0.0962651
Colombian	0.0962637
Argentine	0.095705
Vietnamese	0.0950232
Iranian	0.0948037
Ukrainians	0.0947361
Koreans	0.0935814
Romanian	0.0923384
Finn	0.0922128
Frenchman	0.0915046
citizen	0.0910881
national	0.0910542
Bulgarian	0.0902274
French	0.0892875
Egyptian	0.0871826
Singaporean	0.0871676
Czech	0.0862187
Georgian	0.0857828
Pakistani	0.0850921
Zimbabwean	0.0843954
African	0.0839464
Cuban	0.0837092
Taiwanese	0.082748
Californian	0.0821764
Indian	0.0816566
Israeli	0.0807152
woman	0.0802287
Agassi	0.0801902
Nigerian	0.079899
Asian	0.0792737
Saudi	0.0789335
Dane	0.0785352
Turk	0.0784378
Kuwaiti	0.0781588
resident	0.0778256
"Sri Lankans"	0.0776894
athlete	0.0773905
Ugandan	0.0772857
Zambian	0.0770531
Dutchman	0.075693
Haitian	0.0756284
Dutch	0.0750851
Texan	0.0740078
Nepalese	0.0735757
Tanzanian	0.0734979
Ethiopian	0.0733538
Venezuelan	0.0732196
Iraqi	0.0728883
Angolan	0.0728183
tourist	0.0726142
Peruvian	0.0724109
African-American	0.0721693
Palestinian	0.0721347
westerner	0.0713031
Frenchmen	0.0712622
Afghan	0.0696413
Jew	0.0691267
student	0.069115
Moroccan	0.0690945
man	0.0683785
immigrant	0.0682429
worker	0.068153
Bangladeshi	0.0676537
"French Open"	0.0675278
youngster	0.0675011
Greeks	0.067394
player	0.0672985
Portuguese	0.0672515
Englishman	0.0670674
Henman	0.0669543
voter	0.0669298
Irish	0.0667886
black	0.0667699
Australia	0.0663439
adult	0.0661852
Panamanian	0.0660421
investor	0.0658669
Hingis	0.0658303
businessmen	0.0657151
Syrian	0.0654618
"South Korean"	0.0654029
swimmer	0.065388
U.S.	0.0653435
Albanian	0.0653425
farmer	0.0652458
Seles	0.0652369
"New Yorker"	0.0650639
Davenport	0.0650214
Southerner	0.0646913
veteran	0.0646441
Algerian	0.0644599
Sudanese	0.0644478
Hispanic	0.0643662
golfer	0.064306
Fijian	0.0642363
Sampras	0.0642193
soldier	0.0640601
Mozambican	0.0637238
Aussie	0.0635337
journalist	0.0635048
"Australian Open"	0.0633033
diplomat	0.0628449
Moya	0.0625741
employee	0.0621886
Wimbledon	0.0616287
"Sierra Leonean"	0.0616049
passenger	0.0609778
youth	0.0607786
christian	0.0606603
participant	0.0606537
Arab	0.0605787
Namibian	0.0605377
"Pete Sampras"	0.0601698
Congolese	0.0601106
senior	0.0600302
Latino	0.0600235
"college student"	0.0599932
scientist	0.0599725
Kafelnikov	0.059952
child	0.0597849
"Tim Henman"	0.0597356
"New Englander"	0.0596923
Novotna	0.0595554
"Martina Hingis"	0.0594714
parent	0.0594579
"Goran Ivanisevic"	0.0592562
consumer	0.0591935
traveler	0.0590582
girl	0.0589701
Rafter	0.0589441
male	0.0588455
Philippoussis	0.058741
teenager	0.0587166
Jamaican	0.0585796
settler	0.058437
Korean	0.0583798
"U.S. Open"	0.0582918
rios	0.0581762
"young man"	0.0581381
Serbs	0.0581332
Yugoslav	0.0580473
kid	0.057968
teen-ager	0.0579351
sailor	0.0577834
fan	0.0577811
"Mark Philippoussis"	0.0576851
"black woman"	0.0576547
female	0.0576509
visitor	0.0576499
"East Timorese"	0.0575954
champion	0.0575667
patient	0.0575512
individual	0.0575453
compatriot	0.0575385
homeowner	0.0575322
Beijingers	0.0574786
person	0.0574514
"Puerto Rican"	0.0572722
Kurds	0.0572673
Catholic	0.0571904
Bosnians	0.0569651
servicemen	0.0569182
"Marcelo Rios"	0.0567538
lawmaker	0.0567528
professional	0.0567501
"military personnel"	0.0566868
"Lindsay Davenport"	0.0566758
respondent	0.0566345
expatriate	0.0564235
))
("Australian Associated Press" (desc 3112.61) (sims
"Kuwait News Agency"	0.305398
"Kyodo News"	0.29952
"Thai News Agency"	0.294174
"Rwanda News Agency"	0.280813
"Indonesian Observer"	0.262046
"Jakarta Post"	0.256912
"Business Times"	0.248529
"Ethiopian News Agency"	0.247124
"Ghana News Agency"	0.246161
"Egyptian Gazette"	0.245183
"Associated Press of Pakistan"	0.241014
"Agence France Presse"	0.240026
"Straits Times"	0.238775
"Egyptian Middle East News Agency"	0.235953
"Saudi Press Agency"	0.235826
Antara	0.234876
"Khaleej Times"	0.233775
"Zimbabwe News Agency"	0.23377
"Dow Jones Newswires"	0.23333
"Kyodo News Service"	0.232979
"Korean Central News Agency"	0.230407
"Moscow Times"	0.229217
"South African Press Association"	0.229126
"Antara News Agency"	0.221282
"Radio Uganda"	0.220934
"Press Trust of India"	0.220218
Lusa	0.219719
"Cyprus News Agency"	0.218589
"Philippine News Agency"	0.216729
Angop	0.21506
Kyodo	0.210575
"New Vision"	0.207125
"Jordan Times"	0.202238
"Iraqi News Agency"	0.200841
PTI	0.200155
"Agence France-Presse"	0.198793
"Bangkok Post"	0.198598
"Gulf News"	0.198584
"Kathmandu Post"	0.197295
"Southern African Broadcasting Association"	0.196369
Tass	0.19521
IRNA	0.194833
"China Daily Business Weekly"	0.194561
"Tehran Times"	0.194021
Ansa	0.193584
"Middle East News Agency"	0.19263
"South China Morning Post"	0.192103
"Macao Daily News"	0.191412
"Athens News Agency"	0.189375
"Daily Star"	0.189258
"Turkish Daily News"	0.186711
Bernama	0.185671
"Zambia News Agency"	0.18406
Sowetan	0.183413
"Islamic Republic News Agency"	0.182214
"Iran News"	0.181503
Noticias	0.181496
"News Agency of Nigeria"	0.179204
"Alam Al Yom"	0.178449
"Jerusalem Post"	0.177534
Notimex	0.17564
"British Broadcasting Corporation"	0.175411
"Business Day"	0.173919
"East African Standard"	0.172543
MENA	0.17198
"Daily Times"	0.170867
"U.S. Labor Department"	0.170684
al-Hayat	0.170657
"Israel Radio"	0.170419
"Al Hayat"	0.168326
Haaretz	0.168079
"Post Express"	0.167397
MTI	0.16326
"Ethiopian Herald"	0.159639
"Vietnam News"	0.159265
"Anatolia News Agency"	0.157943
BS	0.156949
"Business Weekly"	0.15656
Itar-Tass	0.155223
"Kenya Times"	0.154708
Interfax	0.15321
KPL	0.152347
Tanjug	0.15217
"Daily Nation"	0.151902
"Le Monde"	0.149903
"Zambia Daily Mail"	0.148506
Petra	0.148439
TT	0.14551
"The New Vision"	0.143252
"National Association of Realtors"	0.143189
"Press Trust"	0.13927
"Vietnam News Agency"	0.13891
WAM	0.138465
"Sydney Morning Herald"	0.137894
"New Nigerian"	0.13732
ATA	0.137239
"Financial Mail"	0.13693
Reforma	0.136641
Maariv	0.135205
"Wenhui Daily"	0.134639
Kommersant	0.133856
SAPA	0.131502
"Beijing Daily"	0.130858
"China Daily"	0.12947
Al-Ahram	0.127937
AFP	0.127816
"China Youth Daily"	0.127473
"United Press International"	0.126478
RSS	0.126259
"New Straits Times"	0.125837
"Bloomberg News"	0.125692
"New Light"	0.125658
"Jerusalem Media and Communication Center"	0.125366
Reuters	0.124318
Malaya	0.123889
"Detroit News"	0.123795
"Al Ahram"	0.121837
"East African"	0.119447
"Daily Telegraph"	0.119232
KUNA	0.11894
"press agency"	0.114653
"The Monitor"	0.114565
"Daily News"	0.114296
Hurriyet	0.113527
"Asahi Shimbun"	0.113366
NTV	0.111908
"Nihon Keizai Shimbun"	0.111794
"Xinhua News Agency"	0.111051
"Financial Times"	0.110731
"news agency"	0.108779
"El Pais"	0.10825
"Der Spiegel"	0.107848
INA	0.107743
"Daily Mail"	0.107368
"Le Figaro"	0.107346
Salam	0.10671
"Seattle Times"	0.104633
"Detroit Free Press"	0.102442
Eurostat	0.101619
"news service"	0.101116
"Information Center"	0.100587
"International Business Daily"	0.100517
"Miami Herald"	0.100503
"El Mundo"	0.100107
"Yomiuri Shimbun"	0.0993531
"Conference Board"	0.0989133
Anatolia	0.0987777
"Statistics Canada"	0.0982333
APA	0.0971467
NHK	0.0963513
"Washington Times"	0.0952608
Guardian	0.0952162
"Washington Post"	0.0950229
RNA	0.0928687
CNA	0.0926395
APP	0.0926112
"Los Angeles Times"	0.092498
BBC	0.0917082
"Guangming Daily"	0.0911823
"U.S. Commerce Department"	0.0892359
L'Equipe	0.0887162
"British Broadcasting Corp."	0.088122
"Nihon Keizai"	0.087772
Jana	0.087591
"USA TODAY"	0.0875408
Asahi	0.084568
"Denver Post"	0.0830025
Aventajado	0.081268
"Koha Ditore"	0.0803117
Inquirer	0.0795325
"Beijing Youth Daily"	0.0791043
"Wall Street Journal"	0.0785149
Dominion	0.0774904
"Boston Herald"	0.0768927
Harmoko	0.0759342
Star-Ledger	0.0758202
ABS-CBN	0.0753377
Ruehe	0.0746513
"Associated Press"	0.0745747
"Houston Chronicle"	0.0739059
"State Statistics Bureau"	0.0735584
"Australian Bureau of Statistics"	0.0732125
"New York Daily News"	0.0726579
"Economic Daily"	0.0718194
"Chicago Tribune"	0.0710167
PAP	0.0708564
beta	0.0707315
"Yediot Ahronot"	0.0701578
"Hartford Courant"	0.0698308
Granma	0.0694712
"Census Bureau"	0.0691698
"National Post"	0.0690038
Politika	0.0681239
CTV	0.0679637
"Philadelphia Inquirer"	0.0675573
"Dallas Morning News"	0.0673372
Yastrzhembsky	0.0665188
"Economic Planning Agency"	0.0659269
Yomiuri	0.0654034
"San Francisco Chronicle"	0.0646838
))
("Australian Bureau of Statistics" (desc 2181.8) (sims
"Statistics Canada"	0.297232
"U.S. Census Bureau"	0.284347
Eurostat	0.234943
"State Statistics Bureau"	0.218803
"National Bureau of Statistics"	0.208813
"American Petroleum Institute"	0.202356
"Central Election Commission"	0.200259
"State Statistical Bureau"	0.192916
"U.S. Labor Department"	0.181901
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lastest	0.0972107
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al-Hayat	0.0816895
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Petra	0.0808914
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Salam	0.0784598
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F.A	0.152008
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ICC	0.0662362
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gallantry	0.064315
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higher-up	0.062464
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Barclays	0.0601972
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NatWest	0.0594865
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Google	0.0589902
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Schaeuble	0.0588456
Bridgestone/Firestone	0.0586396
CFTC	0.0586337
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Ruehe	0.0579761
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Gaddafi	0.0577535
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Intergraph	0.0576046
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Daimler-Chrysler	0.0573433
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Checketts	0.0569118
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Daimler-Benz	0.0568071
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NationsBank	0.0561537
UGA	0.0561279
Eurotunnel	0.0560118
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rupiah	0.247047
rand	0.241048
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peso	0.22904
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currency	0.183831
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rupee	0.152603
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index	0.108519
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price	0.102455
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dinar	0.0796395
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economy	0.0757078
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yield	0.0736407
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bullion	0.0721762
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soybean	0.0691241
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Krajicek	0.214087
"Alberto Berasategui"	0.213987
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Raoux	0.20749
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"Magdalena Maleeva"	0.190205
"Patty Schnyder"	0.190025
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"Fernando Meligeni"	0.18606
"Elena Dementieva"	0.185803
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Siemerink	0.183643
"Ai Sugiyama"	0.18186
"Arnaud Di Pasquale"	0.181367
"Carlos Moya"	0.179384
"Elena Likhovtseva"	0.179368
"Andrei Pavel"	0.178728
"Amelie Mauresmo"	0.178524
"Marcelo Rios"	0.178378
"Tamarine Tanasugarn"	0.177606
"Gong Zhichao"	0.1765
"Serena Williams"	0.17632
"Kenneth Carlsen"	0.175927
"Sebastien Grosjean"	0.175619
"Jan-Michael Gambill"	0.175603
"Petr Korda"	0.175117
"Dominik Hrbaty"	0.175091
"Jerome Golmard"	0.175056
"Chanda Rubin"	0.17487
rios	0.174044
"Van Roost"	0.17388
"Alex Corretja"	0.173305
"Jonas Bjorkman"	0.172294
Kafelnikov	0.169536
"Nicolas Lapentti"	0.16951
Kucera	0.169484
"Jana Novotna"	0.169477
Testud	0.169044
"Younes El Aynaoui"	0.168571
"Natasha Zvereva"	0.168445
"Thomas Muster"	0.167809
"three match points"	0.167709
"Hicham Arazi"	0.167605
"Judith Wiesner"	0.167567
"Juan Antonio Marin"	0.167508
"Karim Alami"	0.166798
Majoli	0.166087
"Andrea Gaudenzi"	0.165904
Philippoussis	0.165855
Bjorkman	0.164371
Sanchez-Vicario	0.164245
"Yevgeny Kafelnikov"	0.163854
"Magnus Gustafsson"	0.163691
"Barbara Paulus"	0.163496
"MaliVai Washington"	0.16337
"Silvia Farina"	0.162818
"Carlos Costa"	0.162217
"Marat Safin"	0.161724
"Jennifer Capriati"	0.160312
Zvereva	0.160237
Kuerten	0.160149
"Jim Courier"	0.159898
Dragomir	0.159717
Safin	0.15954
"Daniel Nestor"	0.159119
"Venus Williams"	0.158792
"Vincent Spadea"	0.158552
Kroslak	0.158158
"Galo Blanco"	0.158106
Kiefer	0.158088
"Lisa Raymond"	0.157812
Pioline	0.157242
"Anna Kournikova"	0.157102
Ulihrach	0.156902
"Scott Draper"	0.155873
"Michael Chang"	0.155631
"Brett Steven"	0.15496
"Pat Rafter"	0.153843
Stoltenberg	0.153822
"Magui Serna"	0.15264
"American Pete Sampras"	0.152538
"Marcelo Filippini"	0.15237
"Lindsay Davenport"	0.152186
"Kimberly Po"	0.151845
"Davide Sanguinetti"	0.151624
"Paul Haarhuis"	0.150635
Rusedski	0.149661
Ferreira	0.149028
"Patrick Rafter"	0.148836
"Leander Paes"	0.148431
"Heryanto Arbi"	0.147562
Ivanisevic	0.147438
"Steffi Graf"	0.146828
"Rainer Schuttler"	0.146725
"Justin Gimelstob"	0.146282
"Ramon Delgado"	0.146013
"Fabrice Santoro"	0.145968
"Xavier Malisse"	0.145468
"Wayne Black"	0.14395
"Lleyton Hewitt"	0.142854
"Magnus Larsson"	0.142582
"Nicolas Escude"	0.141792
"Monica Seles"	0.141359
Hendrawan	0.140535
Capriati	0.14016
"Arnaud Boetsch"	0.139973
"Sarah Pitkowski"	0.139913
Mauresmo	0.139636
"Stefan Edberg"	0.139238
Bruguera	0.136155
Moya	0.136117
"Christian Ruud"	0.13595
"Gianluca Pozzi"	0.135937
"Todd Woodbridge"	0.135897
"Andre Agassi"	0.135661
Lapentti	0.13533
Taufik	0.135314
Gustafsson	0.135177
Kournikova	0.135161
Korda	0.135083
"Mark Woodforde"	0.13504
Gambill	0.134746
"Bohdan Ulihrach"	0.134532
"Boris Becker"	0.1342
"Peter Gade Christensen"	0.133476
Frenchwoman	0.133008
Novotna	0.132889
"Renzo Furlan"	0.132451
Clavet	0.132083
"Jan-Ove Waldner"	0.131889
"Martina Hingis"	0.131601
Seles	0.129957
"Cara Black"	0.129764
"Southwest Missouri State"	0.129737
"Barbara Schett"	0.129645
Tauziat	0.129363
"Tatiana Panova"	0.128971
Agassi	0.128837
"Sanchez Vicario"	0.128608
"Phenix City"	0.128131
Schalken	0.127915
Haas	0.1279
"Jelena Dokic"	0.126993
Sugiyama	0.126741
"Sjeng Schalken"	0.126733
"Tar Heels"	0.126626
Edberg	0.126609
"Kimiko Date"	0.126486
"Guillaume Raoux"	0.126295
"Miriam Oremans"	0.12623
Lucic	0.126043
"Fung Permadi"	0.125505
"Wang Liqin"	0.125249
"American Andre Agassi"	0.124705
"Colorado State"	0.124501
Nicol	0.12431
"Roger Federer"	0.124137
"Yayuk Basuki"	0.123911
"Vladimir Samsonov"	0.123498
"Amy Frazier"	0.123216
"Michael Stich"	0.122052
Hrbaty	0.121929
Halard-Decugis	0.121846
"Sabine Appelmans"	0.121586
"Mariano Zabaleta"	0.121456
"Franco Squillari"	0.121317
"Li Fang"	0.121189
Serena	0.120632
Dutchman	0.120617
"Mark Knowles"	0.120441
Rosset	0.120309
"Asa Carlsson"	0.119583
"Adrian Voinea"	0.119257
"Olga Barabanschikova"	0.119155
Huber	0.118776
"Daniel Vacek"	0.118664
Santoro	0.118648
Schnyder	0.117966
"Mary Joe Fernandez"	0.117962
"Slava Dosedel"	0.117868
"Kveta Hrdlickova"	0.117536
"Dai Yun"	0.117266
"Mahesh Bhupathi"	0.117235
"Miami Fusion"	0.116689
"Juan Carlos Ferrero"	0.116368
Swardt	0.116119
"Mia Audina"	0.11575
"Chicago Fire"	0.115647
Becker	0.115471
Davenport	0.114877
"Javier Sanchez"	0.114784
"Jeff Tarango"	0.114501
Hingis	0.114401
Rafter	0.114229
"Florencia Labat"	0.114207
Medvedev	0.113951
"St. Bonaventure"	0.113742
"Grant Stafford"	0.113611
"Martin Damm"	0.113123
"New York-New Jersey MetroStars"	0.113093
Chang	0.112987
Mantilla	0.111345
"Filip Dewulf"	0.111255
Waldner	0.110062
Tarango	0.110027
"Pete Sampras"	0.10961
"Ye Zhaoying"	0.109353
"Jonathan Stark"	0.109127
"Anne Kremer"	0.108557
"Jiri Novak"	0.108513
"Sebastien Lareau"	0.108416
Spaniard	0.107351
"John Van Lottum"	0.107338
"Mikael Tillstrom"	0.107219
"Montana State"	0.106996
"Denisa Chladkova"	0.106913
"Hernan Gumy"	0.106362
Gaudenzi	0.106193
"Sargis Sargsian"	0.105553
"Bafana Bafana"	0.10553
"Neville Godwin"	0.105509
"Viswanathan Anand"	0.10533
"Marcos Ondruska"	0.105014
Likhovtseva	0.105001
"Jansher Khan"	0.10491
Haarhuis	0.104701
"Henrieta Nagyova"	0.104139
Schett	0.104066
"Chris Woodruff"	0.103603
"Alex O'Brien"	0.10355
"Lori McNeil"	0.103421
"Andres Gomez"	0.103243
"two match points"	0.103081
"Peter Rasmussen"	0.102434
"Iowa State"	0.101429
"Taufik Hidayat"	0.101252
"Dejan Stankovic"	0.100732
Palmeiras	0.100546
"Los Angeles Sparks"	0.100455
"Els Callens"	0.100382
Jansher	0.100356
))
("Australian Olympic Committee" (desc 1635.82) (sims
"Chinese Olympic Committee"	0.178199
"Olympic Council of Asia"	0.160614
"Allied Pilots Association"	0.156412
"Labor office"	0.153365
"Salt Lake Organizing Committee"	0.143954
"CBS Sports"	0.140068
OCA	0.137699
"European Bank for Reconstruction"	0.136835
"U.S. Soccer Federation"	0.133655
"World Jewish Congress"	0.127769
"Vietnamese Communist Party"	0.125398
"Organizing Committee"	0.125147
"Rotary International"	0.124737
"U.S. Olympic Committee"	0.123194
"International Amateur Athletic Federation"	0.119198
"Football Association"	0.118391
CPAFFC	0.117831
UCI	0.116904
"International Ski Federation"	0.116215
BOC	0.115908
"Olympic Committee"	0.114425
CSE	0.11416
"EU Commission"	0.113644
USOC	0.112368
"National Urban League"	0.11117
"Defense Agency"	0.110398
"International Amateur Athletics Federation"	0.109719
"National Association of Broadcasters"	0.109323
CNOOC	0.109151
SLOC	0.109122
"Sydney Organizing Committee"	0.108427
Bundesbank	0.106836
CFA	0.106576
ZCTU	0.106548
SOCOG	0.106515
SCLC	0.105757
"Board of Supervisors"	0.104589
"International Skating Union"	0.104438
"International Olympic Committee"	0.104201
"International Tennis Federation"	0.104173
"Atlanta Committee"	0.103964
CMA	0.103716
"Wine Institute"	0.103324
"Columbia Pictures"	0.103123
"Canadian International Development Agency"	0.102643
ARATS	0.101275
"Islamic Development Bank"	0.100567
YankeeNets	0.100342
"Motion Picture Association of America"	0.0997483
CAF	0.0985655
"Asian Football Confederation"	0.098406
"Communications Workers of America"	0.0980069
"American Jewish Committee"	0.0978529
"China Society"	0.0975321
"International Cycling Union"	0.09744
"National Council of La Raza"	0.0971785
AHA	0.0962954
"Russian Space Agency"	0.0961368
"U.S. Chamber of Commerce"	0.0960475
CNPC	0.0954838
"National Economic Council"	0.095142
"Association of Flight Attendants"	0.0948531
"Philadelphia Orchestra"	0.0946625
FIVB	0.0945926
"New York Civil Liberties Union"	0.094248
"American Association of Health Plans"	0.0933981
Laban	0.0932453
"Players Association"	0.0932021
"United Nations Industrial Development Organization"	0.0931286
"Association for Relations Across"	0.0923177
"Local @@"	0.0922861
"USA Basketball"	0.0919889
MPAA	0.091977
UML	0.0912799
IAAF	0.0908808
"Federal Reserve Bank of New York"	0.0906287
"Xinhua News Agency Hong Kong Branch"	0.0904732
NARAL	0.0904091
"National Association of Manufacturers"	0.0899963
"Bashkim Fino"	0.0898429
IDB	0.0896999
"Thai Farmers Bank"	0.0886293
Bundestag	0.0884168
ECB	0.0883377
"National Trust"	0.0883182
NAACP	0.087678
"Funcinpec Party"	0.0875439
"Mitsubishi Motors"	0.0871616
"Russian Security Council"	0.0869704
"International Association of Machinists"	0.0869433
"International Society"	0.0867827
BNFL	0.0867079
"ABC Sports"	0.0867075
"Medical Society"	0.0866426
DFB	0.0865877
"Southeastern Legal Foundation"	0.0865719
Gosper	0.0865605
EC	0.0863097
BOI	0.0861931
ITTF	0.086179
"State Flood Control"	0.086041
DLC	0.0860107
ITC	0.085127
FIFA	0.0850513
SPC	0.0848892
Hezb-i-Islami	0.0848509
"Los Angeles City Council"	0.0847083
NKP	0.0843886
"Cuban American National Foundation"	0.0836246
"Turner Sports"	0.0835183
Eximbank	0.0831686
"Enron Corp."	0.0831664
"Inter-Parliamentary Union"	0.0827985
CCPIT	0.0826818
ACOG	0.082397
"Family Research Council"	0.0823539
"American Red Cross"	0.0819758
CCF	0.0816797
Natale	0.0816584
CWA	0.0814964
"Central Election Commission"	0.081478
FIS	0.0809789
"International Badminton Federation"	0.0808638
AFA	0.0808445
"Common Cause"	0.0807364
Totalfina	0.0807182
"Red Cross Society"	0.0806644
OPIC	0.0806022
"World Tourism Organization"	0.0805026
ATC	0.0804856
teamster	0.0804532
"African Development Bank"	0.0802917
"Federal Council"	0.0802462
"General Security Service"	0.0800999
NSC	0.0800631
"U.S. Administration"	0.0800361
UMNO	0.0800019
"Political Department"	0.0797354
"United Auto Workers"	0.0797
CFTC	0.0796839
USAID	0.0795128
"World Meteorological Organization"	0.0790934
"planning board"	0.0790649
ACWF	0.0789482
"Airport Authority"	0.0789336
"International Brotherhood"	0.078819
"Economic Planning Agency"	0.0787154
"Organization of Islamic Conference"	0.0784767
"Handgun Control"	0.0784615
"Kenyan Government"	0.0781333
"National Audubon Society"	0.0780086
MSF	0.0779398
"European Central Bank"	0.0778508
"National Organization"	0.077674
"Philippine Senate"	0.0773929
"Shin Bet"	0.0773643
"Democratic Senatorial Campaign Committee"	0.0772874
"Palestinian National Authority"	0.0771583
"Dow Jones &AMP; Co."	0.0770686
"British government"	0.077023
"Congressional Black Caucus"	0.0769167
"Recording Industry Association of America"	0.0768898
"Macao Government"	0.0767527
"Hearst Newspapers"	0.0767318
EBRD	0.0766495
"United Malays National Organization"	0.0765574
"Clinton Administration"	0.0765464
Hybl	0.0765122
"Global Environment Facility"	0.076475
"Screen Actors Guild"	0.0763445
"Lotus Development Corp."	0.076339
SDB	0.0762014
"National Association"	0.0761451
NDF	0.0761147
"European Commission"	0.0759686
Wada	0.0759634
"National Education Association"	0.0759511
"National Police"	0.0759108
Massport	0.0755709
FIBA	0.0753617
"Council of State"	0.0751224
"NBC News"	0.0749204
PNP	0.0747831
COSCO	0.0747718
"BellSouth Corp."	0.0746663
Histadrut	0.0745795
"National Abortion and Reproductive Rights Action League"	0.0745247
"Civil Aviation Authority"	0.0744933
"Indonesian Military"	0.0739313
"Hearst Magazines"	0.0738662
UNRWA	0.07383
"Asian Development Bank"	0.0736791
AOC	0.0736001
"Export-Import Bank"	0.073575
"Royal Ulster Constabulary"	0.073477
"Fox Sports"	0.0734684
CCB	0.0733013
"Olympic Movement"	0.07326
USTA	0.0731798
CITIC	0.0730607
))
("Australian Open" (desc 20806.5) (sims
"French Open"	0.359405
Wimbledon	0.263098
"Italian Open"	0.259558
"U.S. Open"	0.252653
"US Open"	0.204044
"Paris Open"	0.196061
"German Open"	0.186243
"Roland Garros"	0.183854
"Canadian Open"	0.180527
"Grand Slam Cup"	0.178574
"Chase Championships"	0.171666
"European Championship"	0.168606
"British Open"	0.16732
"ATP Championship"	0.164471
"Stockholm Open"	0.163343
"Maurier Open"	0.162971
"Japan Open"	0.160946
tournament	0.160211
"Lipton Championships"	0.159402
"Indian Wells"	0.157668
"Kremlin Cup"	0.157603
"PGA Championship"	0.154756
"European Cup"	0.152252
Eastbourne	0.151492
"Hamlet Cup"	0.150581
championship	0.149759
"European Champions Cup"	0.146968
"U.S. Amateur"	0.146033
"Wimbledon Tennis Championships"	0.145549
"Asian Cup"	0.143647
"Hong Kong Open"	0.143619
"Melbourne Park"	0.143028
"Swiss Open"	0.14191
"Atlanta Olympic Games"	0.141569
"Asian Games"	0.136936
Masters	0.136143
"World Cup"	0.136103
"Commonwealth Games"	0.135132
"UEFA Cup"	0.133937
"United States Open"	0.131018
"Fed Cup"	0.129895
"grand slam"	0.12872
"Davis Cup"	0.12838
"Hopman Cup"	0.128194
"Copa America"	0.128167
"European Championships"	0.128138
"Federation Cup"	0.125642
"Thomas Cup"	0.125549
"World Basketball Championship"	0.124866
"African Nations Cup"	0.123438
"Champions Cup"	0.123337
Filderstadt	0.123293
"FA Cup"	0.122757
"World Table Tennis Championships"	0.120828
"Sydney Olympics"	0.120685
"Atlanta Olympics"	0.120052
"Libertadores Cup"	0.119747
Maurier	0.119147
"U.S. Senior Open"	0.118156
tourney	0.117644
"World University Games"	0.115837
Lipton	0.115773
"Tour Championship"	0.11388
"Memorial Tournament"	0.113589
"Acura Classic"	0.112634
"Mastercard Colonial"	0.11254
"Champions League"	0.1124
"Gold Cup"	0.112344
"Sydney Olympic Games"	0.111836
"World Championships"	0.111198
"National Invitation Tournament"	0.10942
"Olympic Games"	0.109319
"World Team Cup"	0.109313
"F.A Cup"	0.109257
"Louis Vuitton Cup"	0.108614
"College World Series"	0.108448
"South Regional"	0.107224
"Western Open"	0.106549
"Goodwill Games"	0.10639
"cup final"	0.106267
"Little League World Series"	0.106163
"Euro @@@@"	0.104364
ATP	0.104279
"League Cup"	0.103635
"London Marathon"	0.103257
Olympics	0.102397
"Boston Marathon"	0.102189
"ATP Tour World Championship"	0.102118
final	0.101627
"LPGA Championship"	0.100539
"European Champions League"	0.0995005
nit	0.0993279
PGA	0.0992751
"Buick Invitational"	0.0990413
"Confederations Cup"	0.098326
"Daytona @@@"	0.0981531
"ATP Tour"	0.0974182
freestyle	0.097404
"Uber Cup"	0.0968057
tennis	0.0965638
quarterfinal	0.0964323
"World Athletics Championships"	0.0962712
men's	0.096204
"National Tennis Center"	0.0960772
"Tour de France"	0.0960512
Asiad	0.0951531
breaststroke	0.0949197
"New York City Marathon"	0.0941929
semifinal	0.0941312
backstroke	0.0940351
"Nissan Open"	0.0939836
"West Regional"	0.09395
"Grand Prix"	0.0935593
"Buick Classic"	0.0928897
"Dunhill Cup"	0.0920008
"Midwest Regional"	0.0915348
"Key Biscayne"	0.0910384
"Pan American Games"	0.09054
"Players Championship"	0.0894943
"Phoenix Open"	0.088977
"Atlanta Games"	0.0881781
Kitzbuehel	0.0880081
"East Regional"	0.0873861
Super-G	0.086805
"East Asian Games"	0.086669
Halle	0.0850036
"Italian Cup"	0.0848988
"Sudirman Cup"	0.0844007
"Brickyard @@@"	0.0840155
"Cup Winners Cup"	0.0839524
medley	0.0839326
"long jump"	0.0835813
"Ryder Cup"	0.08313
"Indy @@@"	0.0828623
"Bangkok Asian Games"	0.0822309
"Davis Cup World Group"	0.0814142
"NCAA Tournament"	0.0811001
"Eighth National Games"	0.0807398
"Monte Carlo"	0.0802389
"World Group"	0.0800849
"Manhattan Beach"	0.0797585
Brickyard	0.0796752
"Pan Am Games"	0.0786012
"Stanley Cup"	0.0782248
"Kentucky Derby"	0.0779473
hardcourt	0.0778488
slalom	0.0777912
"Big Sky Conference"	0.0775321
"Barcelona Games"	0.077184
cup	0.0771082
"shot put"	0.0768863
Adelaide	0.0768605
relay	0.0767823
Indianapolis	0.0767289
"NFC East"	0.0765175
playoff	0.0762889
"Sydney Games"	0.0760297
"Loch Lomond"	0.076021
Derby	0.0757882
flyweight	0.0756037
"Olympic Winter Games"	0.0755965
EuroLeague	0.0754487
"Flushing Meadows"	0.0752824
"SEA Games"	0.0741806
"match play"	0.0741296
"Chinese Basketball League"	0.0740864
"African Cup"	0.0737979
qualifier	0.073771
Stuttgart	0.0733803
"Pebble Beach"	0.0728816
CONCACAF	0.0725883
"WTA Tour"	0.0722634
"MLS Cup"	0.0721014
epee	0.071846
WTA	0.071697
"National Games"	0.0711898
Linz	0.0709575
"Skate America"	0.070875
Colonial	0.0708283
"World Series"	0.0706355
Basle	0.0706148
springboard	0.0704784
"World Boxing Council"	0.0702389
"Fiesta Bowl"	0.0701584
MELBOURNE	0.0700217
"World Figure Skating Championships"	0.0697949
"Big Sky"	0.0695403
semi	0.0694989
"NBA Finals"	0.0694137
"Pan Pacific"	0.0693645
decathlon	0.069317
doubles	0.0685899
"Summer Games"	0.0685485
Perth	0.0684838
"Hilton Head"	0.0683246
"Nations Cup"	0.0682096
"World Weightlifting Championships"	0.0681559
badminton	0.0678429
"Basketball Championship"	0.0678044
"European Swimming Championships"	0.0676584
))
("Australian state" (desc 1813.76) (sims
"Canadian province"	0.109461
Queensland	0.105053
"South Australia"	0.0856554
"Lower Saxony"	0.08281
Bohemia	0.0788548
"Western Australia"	0.0770856
"American state"	0.0760455
Hesse	0.0717537
"St. Kitts and Nevis"	0.0698529
"Heilongjiang Province"	0.0688069
"Jilin Province"	0.0668017
Saxony	0.0616745
"European nation"	0.0577179
"Shan State"	0.0572516
dovish	0.0570058
terminus	0.0557737
"New South Wales"	0.055476
"San Diego County"	0.0549062
governorates	0.054387
Katanga	0.0539015
"Jordan Valley"	0.0537231
"free port"	0.0533784
quadrant	0.0533525
"Member States"	0.0528871
Saskatchewan	0.0523969
"Central Province"	0.0521705
"Liaoning Province"	0.0510864
"Miami-Dade County"	0.0497732
"Hainan Province"	0.0497613
"Zhejiang Province"	0.0493493
Kyushu	0.0484348
"Fujian Province"	0.0482801
sub-indices	0.0481839
"Jiangxi Province"	0.0481791
Bekaa	0.0479991
Delhi	0.0478356
"Anhui Province"	0.0472398
Newfoundland	0.047194
"North West Frontier Province"	0.046644
seaboard	0.0464461
Beqaa	0.0455924
Kandy	0.0454344
Herat	0.0450733
"Inner Mongolia"	0.0447651
"New Territories"	0.0446768
halves	0.0444932
Kwazulu-Natal	0.0438042
member-states	0.0436092
"Syrian Golan Heights"	0.0435387
Bronx	0.0432442
"Democratic Republic of the Congo"	0.0432215
Sulawesi	0.0432027
"Wyandotte County"	0.0429549
Golmud	0.0424935
Punjab	0.042378
Sidon	0.0423011
"Inner Mongolia Autonomous Region"	0.0422799
"Uttar Pradesh"	0.0416035
Uzbek	0.0415526
flatlands	0.0414818
Manado	0.0411745
"Shanxi Province"	0.0411222
Sumatra	0.0409253
"Delta State"	0.0406607
"Irian Jaya"	0.0401886
"Rift Valley Province"	0.0400507
))
(Austria (desc 72143.6) (sims
Hungary	0.231711
Finland	0.230871
Norway	0.228606
Poland	0.22127
Switzerland	0.218696
Germany	0.214615
Denmark	0.211998
Italy	0.207371
Sweden	0.206325
Belgium	0.202951
Slovenia	0.20254
Romania	0.202277
Bulgaria	0.202126
Netherlands	0.197427
Spain	0.196386
France	0.195004
Croatia	0.186041
Portugal	0.185799
Greece	0.184697
Luxembourg	0.181965
Latvia	0.181835
Ukraine	0.181539
Argentina	0.17793
Lithuania	0.17724
Slovakia	0.17695
Australia	0.176114
"South Korea"	0.173843
Canada	0.17318
Japan	0.17194
"South Africa"	0.17144
Belarus	0.16817
Britain	0.166763
"Czech Republic"	0.165995
Iceland	0.162888
Brazil	0.16032
Russia	0.159888
Egypt	0.157111
Mexico	0.156673
Ireland	0.155565
"New Zealand"	0.152849
Chile	0.152405
Algeria	0.150224
Uruguay	0.149564
Estonia	0.1489
Kazakhstan	0.148089
Cuba	0.148051
Tunisia	0.147248
Malaysia	0.145254
Morocco	0.145092
"Saudi Arabia"	0.144306
Scotland	0.143389
Thailand	0.142512
Nigeria	0.142248
Turkey	0.141652
Iran	0.141588
"United States"	0.139932
India	0.137542
England	0.137516
Uzbekistan	0.137042
"The Netherlands"	0.136966
Peru	0.135841
Paraguay	0.134969
Malta	0.134443
Colombia	0.134373
Venezuela	0.131337
Yugoslavia	0.131087
Jamaica	0.130785
China	0.130482
Ghana	0.129728
"Great Britain"	0.126791
Pakistan	0.126779
Ecuador	0.126413
"Costa Rica"	0.126348
Albania	0.125859
Kenya	0.124875
Armenia	0.124738
Moldova	0.123798
Indonesia	0.123743
Holland	0.123204
Kuwait	0.121923
Philippines	0.121302
Qatar	0.121095
Israel	0.120918
Zimbabwe	0.120779
Singapore	0.119151
Mongolia	0.118902
"United Kingdom"	0.118736
Guatemala	0.117314
Libya	0.117258
Ethiopia	0.115875
Macedonia	0.114892
"Sri Lanka"	0.114203
Zambia	0.1131
Vietnam	0.113035
Namibia	0.112973
Cyprus	0.112793
Cameroon	0.112455
Oman	0.111755
Bolivia	0.111403
Cambodia	0.110409
"European country"	0.109831
Syria	0.109518
Panama	0.108878
Brunei	0.108515
"Republic of Korea"	0.107824
Wales	0.107639
Senegal	0.107336
Czechoslovakia	0.106535
Bangladesh	0.106354
Bahrain	0.106246
Republic	0.106128
"United Arab Emirates"	0.105822
Azerbaijan	0.105763
Mozambique	0.105757
Fiji	0.105577
"Dominican Republic"	0.10452
Angola	0.104206
Korea	0.103906
Mali	0.103864
Nicaragua	0.103423
Botswana	0.102629
Taiwan	0.102379
Sudan	0.101653
Uganda	0.100859
"Papua New Guinea"	0.0997534
Tanzania	0.0987501
Nepal	0.0979693
Myanmar	0.0976533
"Hong Kong"	0.0972427
"North Korea"	0.0971114
Liechtenstein	0.0964062
"El Salvador"	0.0960159
Kazakstan	0.0959418
Europe	0.0955256
"Slovak Republic"	0.0952969
Luxemburg	0.0946556
"Puerto Rico"	0.0940498
country	0.0939664
Georgia	0.0939289
Mauritius	0.0936611
Kyrgyzstan	0.092716
Lebanon	0.0927101
Haiti	0.0924202
Taipei	0.0922581
Togo	0.0919504
Jordan	0.0919486
"Soviet Union"	0.0916966
Laos	0.0916332
"Chinese Taipei"	0.0913962
Iraq	0.090354
Turkmenistan	0.0899038
Yemen	0.0896495
Guinea	0.0893368
Bosnia	0.0892159
"San Marino"	0.0891157
Honduras	0.0891105
Afghanistan	0.088733
Malawi	0.0875994
"Trinidad and Tobago"	0.0865748
Serbia	0.0860395
Rwanda	0.0856784
"West Germany"	0.0846762
Moscow	0.0845324
Gabon	0.0836919
"DPR Korea"	0.0833228
Barbados	0.0831432
U.S.	0.0830033
"European nation"	0.0827255
Liberia	0.0824495
"African country"	0.0816887
EU	0.0814231
Eritrea	0.0813434
"Northern Ireland"	0.0812267
Burma	0.0808711
"Ivory Coast"	0.0804407
"Asian country"	0.0803401
Congo	0.0796997
Tehran	0.0796858
Burundi	0.0793735
ROK	0.0787582
Montenegro	0.0782624
Bosnia-Herzegovina	0.0780437
Vienna	0.07792
UAE	0.0775515
"European Union"	0.0773489
Benin	0.0771362
"Burkina Faso"	0.0770404
Swaziland	0.0768272
Zaire	0.0767041
Maldives	0.0759336
Bahamas	0.0758328
Niger	0.0757486
BEIJING	0.0754066
"African nation"	0.0750152
DPRK	0.0745078
nation	0.0742787
Lesotho	0.074148
UK	0.0739362
"Middle East"	0.0739278
Madagascar	0.0737982
))
(Austrian (desc 14661.9) (sims
Norwegian	0.17358
Swede	0.154563
Belgian	0.145175
Briton	0.136831
German	0.135585
Brazilian	0.135212
Spaniard	0.135032
Italian	0.12849
Swiss	0.128451
Hungarian	0.127054
Canadian	0.125814
Bulgarian	0.125214
Romanian	0.122783
"South Koreans"	0.121052
Ukrainians	0.119791
Russian	0.114582
Dutch	0.113236
Australian	0.112257
"New Zealander"	0.109844
Czech	0.109774
Finn	0.109332
Scandinavian	0.109272
Japanese	0.108931
Mexican	0.108153
Argentine	0.107699
Malaysian	0.107696
Indonesian	0.107289
Dane	0.106187
Slovaks	0.104758
Frenchman	0.104411
Colombian	0.101336
Koreans	0.0990755
Latvians	0.0989822
Peruvian	0.0987566
Panamanian	0.0986909
Turk	0.0984962
Maier	0.0975916
Chilean	0.0963187
Vietnamese	0.0954775
"South African"	0.0951101
Greeks	0.0948881
Georgian	0.0944893
Portuguese	0.094306
Lebanese	0.0938313
Iranian	0.0936395
Frenchmen	0.0933962
Yugoslavian	0.092912
French	0.0926225
Egyptian	0.0925631
"South African Amanda Coetzer"	0.0924136
British	0.092258
Thai	0.0917485
Swedish	0.0900303
Kjus	0.0890674
Kenyan	0.0890288
Pakistani	0.0883817
Aamodt	0.0881288
Filipino	0.0874004
Danish	0.0865933
Taiwanese	0.0859853
Jordanian	0.0856047
Cambodian	0.0831306
Jamaican	0.0830471
Moroccan	0.0829592
Tanzanian	0.0822708
Ethiopian	0.0805867
Croatian	0.0800997
Zambian	0.0799079
Cuban	0.0793704
Venezuelan	0.0790966
Lithuanians	0.0790337
Yugoslav	0.0788055
Nigerian	0.0786369
Chinese	0.0786142
Israeli	0.0781959
Kafelnikov	0.0777441
Irish	0.0775322
European	0.0767756
Corretja	0.0757181
Slovenian	0.075538
"American Michael Chang"	0.0753954
Kuwaiti	0.0748875
Enqvist	0.0748583
Hakkinen	0.0741783
Finnish	0.0741323
Iraqi	0.0741033
Croats	0.073905
Angolan	0.0738738
Singaporean	0.0735638
"Sri Lankans"	0.0733751
Zimbabwean	0.0732709
Haitian	0.0730408
Agassi	0.072888
"South Korean"	0.0727587
Guatemalan	0.0725669
westerner	0.0724244
Californian	0.0722038
Algerian	0.0721649
Moya	0.0720758
Ugandan	0.0710938
Arizonan	0.0710058
Capriati	0.0709778
Majoli	0.0708924
Saudi	0.0708917
Indian	0.0703623
African	0.0702652
"Albert Costa"	0.0702444
Popov	0.0700294
Schumacher	0.0696531
"Van Roost"	0.0694792
Nepalese	0.0693702
Frenchwoman	0.06931
Yemeni	0.0692296
Polish	0.0686071
Somali	0.0685646
Quebecers	0.068449
Muscovite	0.0683631
skier	0.0679382
"American Chanda Rubin"	0.0677604
"Thomas Enqvist"	0.067724
"North Koreans"	0.0675725
Goetschl	0.0671754
rios	0.0665665
Sainz	0.0665079
Korean	0.0665008
"Kosovo Serbs"	0.066364
"Yevgeny Kafelnikov"	0.0659455
Ukrainian	0.0655802
Cuban-Americans	0.0654258
Bosnians	0.065233
"Mary Pierce"	0.0651032
Croatians	0.0650203
Makinen	0.0648285
Huber	0.0646792
Tanui	0.0646739
foreigner	0.0645601
Liberian	0.0645538
Seles	0.0645104
Tibetans	0.0639388
Kuerten	0.0638766
Nicaraguan	0.063836
"Anke Huber"	0.0637794
Testud	0.0637555
Bolivian	0.0636553
"Julie Halard-Decugis"	0.0635398
Chechens	0.0635281
Sanchez-Vicario	0.0633254
Bangladeshi	0.0633141
"Martina Hingis"	0.0632811
Eritrean	0.0630096
Ullrich	0.062995
"Arantxa Sanchez-Vicario"	0.0626963
Pantani	0.0626731
Krajicek	0.0626482
Floridian	0.0625043
wildcat	0.0623026
"Conchita Martinez"	0.0622723
"Costa Rican"	0.0622655
Salvadoran	0.0622615
Turkish	0.0622507
Heyns	0.0622251
"Australian Mark Philippoussis"	0.0620688
Klim	0.0620467
citizen	0.0618817
Novotna	0.0617919
Rosset	0.0617823
"Steffi Graf"	0.0617603
Mauresmo	0.0617285
Sudanese	0.0616967
Spanish	0.0614375
"Byron Black"	0.06143
Brit	0.0612671
Cypriot	0.0612305
Stoltenberg	0.0609474
Davenport	0.0609414
Slovak	0.0607999
Kurds	0.0605221
"South Carolinian"	0.0602775
Honduran	0.060223
Scots	0.0601847
Chang	0.060182
Haarhuis	0.0598793
Texan	0.0596575
"Dominique Van Roost"	0.0596312
Scot	0.0595958
"New Englander"	0.0594828
Afghan	0.0594649
Puerta	0.0593935
Doohan	0.0593701
yank	0.0593304
Serbs	0.0590243
Sampras	0.0589115
Syrian	0.058803
"Goran Ivanisevic"	0.0588007
Gustafsson	0.0587214
Bjorkman	0.0585927
Nicol	0.0585805
Boilermakers	0.0585269
Medvedev	0.0585229
Ertl	0.0584542
))
(auteur (desc 2692.56) (sims
indie	0.0750286
voyeur	0.0687121
filmmaker	0.0680331
avocation	0.0643064
TINDERBOX	0.0634217
"femme fatale"	0.0616185
"character actor"	0.0550937
ingenue	0.0525719
"elder statesman"	0.050462
supplicant	0.0502894
Sportsman	0.0500037
chronicler	0.0498107
student-athlete	0.0480871
acquirer	0.0478744
IMAX	0.0476862
"Pedro Almodovar"	0.0476387
screenwriter	0.0464678
verisimilitude	0.0464318
"adventure story"	0.0454981
newspaperman	0.0452092
virtuoso	0.0448871
"soul mate"	0.0448514
"National Court"	0.0447512
"art director"	0.0445123
"costume designer"	0.0444646
major-leaguers	0.0443143
Vermonter	0.043942
"Big Bang"	0.0431727
kingmaker	0.0430101
"piece of work"	0.0428253
trespasser	0.0428003
winemaker	0.042612
"first third"	0.0424713
"detective work"	0.0424237
"black person"	0.0422176
"power broker"	0.0420941
"avant garde"	0.0420543
"white elephant"	0.0420204
Sykes	0.0417012
classicist	0.0415075
craftsman	0.0414156
"television star"	0.0414095
crackpot	0.0412794
songwriter	0.0410789
"strong force"	0.0407006
dramatist	0.0405198
Cineplex	0.0403994
))
(authentication (desc 3485.35) (sims
Encryption	0.101267
ISO@@@@	0.0972473
filtering	0.0910034
accreditation	0.0909718
certification	0.0804995
standardization	0.0777647
"secondary education"	0.0777208
naturalization	0.076388
verification	0.07212
mammography	0.0707436
"data processing"	0.0707076
registration	0.067796
videophone	0.0662908
sterility	0.0641272
commendation	0.0629513
counterintelligence	0.0623812
"fire control"	0.0623021
WebTV	0.0622372
identification	0.0613822
"crowd control"	0.0610796
"family planning"	0.0609347
"quality control"	0.0608403
telephony	0.0603522
taxation	0.0600275
vending	0.0599444
sensing	0.0585073
appraisal	0.0584265
connectivity	0.0574334
"traffic control"	0.0572493
fast-track	0.0569041
healthcare	0.0566845
billing	0.0565574
tabulation	0.0565243
lifesaving	0.0560687
Standards	0.0559791
"population control"	0.0556669
"call waiting"	0.0556218
clearance	0.0552171
TCM	0.0550749
pasteurization	0.0549871
consultancy	0.0548817
sewerage	0.0544755
"mass transit"	0.0543448
dictation	0.0542606
mapping	0.0539278
cryptography	0.0538676
"tax avoidance"	0.0533417
automation	0.0532815
notary	0.0530794
implantation	0.0529874
authorization	0.0520539
childcare	0.0517158
"central heating"	0.0516637
detoxification	0.0516194
bookkeeping	0.0514137
"caller ID"	0.0513722
retrieval	0.0513173
mitigation	0.051127
debit	0.0510862
accountancy	0.0509516
fingerprinting	0.0506892
"data communication"	0.0506354
multimedia	0.0503582
navigation	0.0502134
imaging	0.0500075
copying	0.0497693
self-government	0.0497394
"tax benefit"	0.0497177
grading	0.0496914
GSM	0.0496435
BLUETOOTH	0.0496294
e-business	0.0495121
GPS	0.0488092
purification	0.0483519
routing	0.047922
interconnection	0.0478578
"computer application"	0.0478508
personalization	0.047725
"bond trading"	0.0477075
enhancement	0.0476641
"hospital care"	0.0475415
reemployment	0.0475029
abacus	0.0474902
"inventory control"	0.0473535
Filtration	0.0471342
decoding	0.0467869
telemedicine	0.0466755
cremation	0.0464668
"information gathering"	0.0462664
WAP	0.0462567
DSL	0.0462542
FireWire	0.0462197
compression	0.0460261
playback	0.0459036
"social welfare"	0.0454152
"electronic communication"	0.0452429
"soil conservation"	0.0450639
add-on	0.0449226
SDH	0.0448215
"birth control"	0.0447871
networking	0.0443876
dispersal	0.0443333
adjudication	0.0441245
Contraception	0.0440785
checkup	0.0439693
SCSI	0.0438131
"information service"	0.0438046
fact-finding	0.0437887
"vocational training"	0.043757
"price support"	0.0437361
propulsion	0.043715
competency	0.0437096
escrow	0.0436274
"first aid"	0.0434676
weight-loss	0.0433904
"mental health"	0.0433206
unionization	0.0431957
firewalls	0.0431946
polygraph	0.0429138
computerization	0.0428576
amplification	0.0427519
procurement	0.0426625
"dental care"	0.042647
"customer service"	0.0426379
ultrasound	0.0426312
intranet	0.0422931
identifier	0.0422102
"vocational education"	0.0421077
GSP	0.0420539
censorship	0.0418053
"Windows CE"	0.0416115
"face saving"	0.0415689
surveying	0.0415446
booking	0.0414177
"social assistance"	0.0413517
detection	0.0413397
customization	0.041337
XML	0.0413116
"securities trading"	0.0412045
forwarding	0.0411665
"flood control"	0.0410461
abatement	0.0410337
Hotmail	0.0410229
visualization	0.0409114
decontamination	0.0408795
Propulsid	0.0406276
CAD	0.0406248
interoperability	0.0406146
"skin care"	0.0406116
CDMA	0.0406005
stopgap	0.0405389
"fire alarm"	0.0403453
pollination	0.0402512
"car insurance"	0.0401279
"futures exchange"	0.0400888
))
(authenticity (desc 21204.1) (sims
veracity	0.144914
reliability	0.136607
truthfulness	0.134317
accuracy	0.132023
legitimacy	0.131454
validity	0.122238
legality	0.119284
honesty	0.116058
fairness	0.112238
credibility	0.107621
integrity	0.10552
provenance	0.101549
quality	0.10093
identity	0.0973839
seriousness	0.0973057
competence	0.0958058
effectiveness	0.0933471
viability	0.0922522
objectivity	0.0912927
truth	0.0909257
sincerity	0.0899168
clarity	0.0895414
meaning	0.0894755
purity	0.0890965
dignity	0.0878249
trustworthiness	0.0877404
propriety	0.0858851
elegance	0.0855161
durability	0.0850835
consistency	0.0842503
completeness	0.0833639
Innocence	0.0826526
simplicity	0.0823382
wisdom	0.0817869
relevance	0.081482
morality	0.0800347
authorship	0.0797489
falsity	0.079516
realism	0.0794169
significance	0.0781963
efficacy	0.0764148
freshness	0.0760549
originality	0.0758429
merit	0.0757903
continuity	0.0741959
ethic	0.0741718
impartiality	0.0738263
appropriateness	0.0738117
beauty	0.0736158
soundness	0.0726832
immediacy	0.0726602
timeliness	0.0723993
competency	0.0722953
usefulness	0.0721996
greatness	0.0719411
toughness	0.0716739
vitality	0.0711835
efficiency	0.0709153
content	0.0702198
fitness	0.0699449
existence	0.0698379
poignancy	0.0696891
sophistication	0.0693241
respectability	0.0683794
correctness	0.068066
Privacy	0.0680557
cleanliness	0.0679418
charm	0.0675917
detail	0.0675876
intimacy	0.0675522
depth	0.0672378
safety	0.0672016
diversity	0.0667715
professionalism	0.0665327
feasibility	0.0664442
loyalty	0.0664224
verisimilitude	0.0663006
perfection	0.0661926
confidentiality	0.0656228
excellence	0.0655503
"job security"	0.0650139
ability	0.064912
Openness	0.0647564
"staying power"	0.0643176
superiority	0.0642909
adequacy	0.0641393
transparency	0.0641351
subtlety	0.0639719
freedom	0.0636043
courage	0.0635813
warmth	0.0634272
candor	0.063196
individuality	0.0629804
inevitability	0.0627703
practicality	0.0626614
richness	0.0625892
spontaneity	0.0625878
certainty	0.0624296
knowledge	0.0619397
strength	0.0618988
self-confidence	0.0618512
eloquence	0.0617432
nature	0.0616047
comfort	0.0615927
precision	0.0615768
suitability	0.0615117
resonance	0.0613994
uniformity	0.061319
determination	0.0611676
paternity	0.0610949
humor	0.0610292
serenity	0.0609307
charisma	0.0603417
intelligence	0.0602809
intensity	0.060114
verification	0.0598
urgency	0.0596443
modesty	0.0596009
stability	0.0595406
equality	0.0595113
sensitivity	0.0594227
willingness	0.059082
ownership	0.0590304
independence	0.0589872
accountability	0.0589062
secrecy	0.058823
breadth	0.0587615
cachet	0.058427
acceptability	0.058364
normality	0.0583566
origin	0.0583446
timing	0.0582777
invincibility	0.0581766
worthiness	0.0580025
motive	0.057964
whereabouts	0.0578864
tone	0.0578594
trove	0.0578339
refinement	0.057772
sustainability	0.0573934
qualification	0.0568601
substance	0.0567106
predictability	0.0566467
potency	0.0566337
skill	0.0562974
complexity	0.0561584
prestige	0.0561573
confidence	0.0560585
virtue	0.0560409
compassion	0.0557914
copy	0.0557546
interpretation	0.0552848
Constitutionality	0.0552277
passion	0.0551651
directness	0.0551417
spirituality	0.0551388
compatibility	0.0550798
sanity	0.055074
humility	0.0550712
ream	0.0550547
compliance	0.0549082
lightness	0.0548916
self-worth	0.0548826
sweetness	0.0546812
capability	0.0546428
validation	0.0546393
identification	0.0546038
sense	0.054559
flexibility	0.0545355
plausibility	0.0544882
coherence	0.0543757
permanence	0.0543212
dedication	0.0542753
glamour	0.0542218
familiarity	0.0541475
guilt	0.0536682
insight	0.0534455
accessibility	0.0534448
discipline	0.0532872
boldness	0.0532583
rigor	0.0531956
humanity	0.0530367
unity	0.0529824
excitement	0.0529089
decency	0.0528513
dimension	0.0525734
cohesion	0.0525679
citizenship	0.0524791
talent	0.0524701
credential	0.0524026
importance	0.0523996
irony	0.0523912
moral	0.0523089
grandeur	0.0522988
spunk	0.0521952
acceptance	0.0520937
Panache	0.0519876
wit	0.05177
nuance	0.0516843
dexterity	0.0516121
))
(author (desc 133275) (sims
writer	0.198756
novelist	0.150584
artist	0.14212
coauthor	0.140206
poet	0.139567
historian	0.129823
scholar	0.12608
Playwright	0.125401
composer	0.12202
journalist	0.11789
professor	0.117558
editor	0.117465
publisher	0.111656
scientist	0.110248
designer	0.108749
researcher	0.108378
architect	0.105991
critic	0.105988
painter	0.105158
actor	0.104397
director	0.103464
psychologist	0.102596
expert	0.10084
musician	0.100166
philosopher	0.0974539
filmmaker	0.0964287
politician	0.0954245
filmmakers	0.0952522
lawyer	0.0950827
educator	0.093598
doctor	0.0935396
singer	0.0933857
columnist	0.0933572
photographer	0.0925108
actress	0.0914945
commentator	0.0910059
creator	0.0895272
academic	0.0892961
teacher	0.0889425
physician	0.0888072
book	0.0881311
Reader	0.0872202
consultant	0.086868
physicist	0.0864267
choreographer	0.0860792
activist	0.0856944
father	0.0850088
man	0.0845921
specialist	0.0843898
producer	0.0836774
mother	0.0836584
manager	0.0836452
advocate	0.0831342
cartoonist	0.0823562
theologian	0.0821002
owner	0.0820096
friend	0.0815422
businessman	0.0811587
sculptor	0.0810783
member	0.0809989
executive	0.0808446
sociologist	0.0807969
entrepreneur	0.0807719
biographer	0.080696
pianist	0.0803328
chef	0.0801685
mathematician	0.0799183
performer	0.079561
lecturer	0.0794165
collector	0.0791943
engineer	0.0781782
sponsor	0.0781312
parent	0.0780636
translator	0.0777066
founder	0.0773616
linguist	0.0772236
comedian	0.0771343
economist	0.0768732
psychiatrist	0.0767915
leader	0.0767787
student	0.0765203
songwriter	0.0763612
reviewer	0.0760887
hero	0.0759199
reporter	0.0759175
professional	0.0758873
investigator	0.0755955
thinker	0.075027
athlete	0.0747641
anthropologist	0.0747589
biologist	0.0744726
banker	0.0743813
novel	0.0743645
surgeon	0.0739827
inventor	0.0738019
publication	0.0737692
colleague	0.0735314
practitioner	0.0735102
President	0.0732677
narrator	0.0732534
curator	0.0729247
pundit	0.0728414
lawmaker	0.0725407
intellectual	0.072473
official	0.0722212
veteran	0.0719637
person	0.0718284
Attorney	0.0717545
wife	0.0715899
"social worker"	0.0713746
conductor	0.0713073
woman	0.0713064
entertainer	0.071266
prosecutor	0.0709783
diplomat	0.0708521
legislator	0.0707912
character	0.0703112
pediatrician	0.0701728
coach	0.0701448
senator	0.0700642
environmentalist	0.0693934
priest	0.0692078
participant	0.0689437
magazine	0.0687978
administrator	0.0686684
judge	0.0686619
fan	0.0685845
celebrity	0.068579
star	0.0685526
adviser	0.0685089
preacher	0.068362
planner	0.0682926
correspondent	0.0682328
screenwriter	0.0680706
proponent	0.0680033
astronomer	0.0678428
analyst	0.0678039
subject	0.0677487
developer	0.0675876
master	0.0672921
son	0.0670058
supporter	0.0668398
player	0.0666724
husband	0.0663495
people	0.0663297
archaeologist	0.0660204
survivor	0.0658364
Mayor	0.0655726
"venture capitalist"	0.0655226
Hemingway	0.0654997
Programmer	0.0653382
dancer	0.0652562
someone	0.0652375
fellow	0.0649159
aide	0.064861
client	0.0647439
theorist	0.064693
rabbi	0.0646731
archeologist	0.0646553
"legal expert"	0.0645733
therapist	0.0644922
Congressman	0.0644374
guru	0.0643918
family	0.0642754
company	0.0641885
insider	0.0640192
pope	0.0640166
observer	0.063873
king	0.0637019
storyteller	0.0634903
film	0.063484
guest	0.0634517
officer	0.0633748
jurist	0.0633239
feminist	0.0632381
writing	0.0631652
geologist	0.0631601
sister	0.0630937
victim	0.0630458
contributor	0.0630079
resident	0.0629482
organizer	0.0627749
"New Yorker"	0.0627088
daughter	0.0625895
text	0.0624297
boy	0.0622084
dean	0.0621961
brother	0.0621419
laureate	0.0621269
candidate	0.0621233
"political leader"	0.0620648
chairman	0.0619459
violinist	0.0618191
couple	0.0617955
nurse	0.0617438
group	0.0615844
figure	0.0615424
movie	0.0615107
businessmen	0.0614577
Republican	0.0614199
))
(authoritarian (desc 1170.3) (sims
taskmaster	0.0887735
"European Union's"	0.0833645
internationalist	0.0799518
pluses	0.0642669
disciplinarian	0.0641636
"pain in the neck"	0.0623889
Slav	0.0577757
"power of attorney"	0.0554697
"important person"	0.0552007
autocrat	0.054927
undesirable	0.0543225
"Tomiichi Murayama"	0.0541641
anti-Semite	0.0503832
"New York Republicans"	0.0502859
"Victor Chernomyrdin"	0.0502062
protectionist	0.0502022
highflier	0.050177
anticlimax	0.0497092
"Mahmoud Zouebi"	0.0496838
"good person"	0.0496604
Titov	0.0487605
"Petroleum Exporting Countries"	0.0485895
"Fatos Nano"	0.0479398
polity	0.0474434
"legal instrument"	0.0471066
"eye opener"	0.0471056
irritant	0.0470785
cross-dresser	0.0467504
"time clock"	0.0465428
"iron curtain"	0.0464596
quarterfinalists	0.0462779
Stoyanov	0.0460332
"medical exam"	0.0453941
endorser	0.0453352
Zionist	0.0451036
"piece of work"	0.0449891
"Juan Antonio Samaranch"	0.0447193
weirdo	0.0445011
"Ricardo Alarcon"	0.0444191
battler	0.044255
co-conspirator	0.044065
rebounders	0.0440097
All-Americans	0.0439357
puncher	0.0438673
blowhard	0.0436726
grabber	0.0431474
"Jehovah's Witnesses"	0.0431413
Aggie	0.0430688
"computer language"	0.0429352
twit	0.0428123
Irishman	0.0427674
"Vaclav Havel"	0.0427288
soulmate	0.0426092
inductees	0.0421826
technocrat	0.0420936
ingenue	0.0417429
Indexing	0.0417373
closers	0.0415623
"two pitchers"	0.0415195
"Chinese Olympic Committee"	0.0413886
aphorism	0.0412493
"Bashkim Fino"	0.0411015
al-Hariri	0.0410123
"three pitchers"	0.0409841
"school principal"	0.0407841
"agenda item"	0.0407807
"Lee Hsien Loong"	0.0407296
"extracurricular activity"	0.0406393
Brundtland	0.0404586
"talking point"	0.0403736
"Deve Gowda"	0.0403358
"more than four times"	0.0403138
"aerospace engineer"	0.0401544
))
(authoritarianism (desc 3998.32) (sims
cronyism	0.102855
misrule	0.0994295
nationalism	0.0956263
secularism	0.0909112
repression	0.0886457
internationalism	0.0865483
totalitarianism	0.085292
expansionism	0.0848305
xenophobia	0.0838018
autocracy	0.082909
dictatorship	0.0821008
oppression	0.0817202
tyranny	0.0813852
favoritism	0.0792267
lawlessness	0.0783467
despotism	0.074227
protectionism	0.0706557
censorship	0.0704954
extremism	0.069987
sexism	0.0695688
isolationism	0.0690645
separatism	0.0679011
mismanagement	0.067174
socialism	0.0668544
individualism	0.0661182
graft	0.0653626
federalism	0.0649516
Capitalism	0.0636452
"white supremacy"	0.06348
anti-Semitism	0.0631204
strongmen	0.0629106
colonialism	0.0625198
Fascism	0.0619076
nepotism	0.0616528
pluralism	0.061623
bigotry	0.0610441
inequality	0.060878
liberalism	0.059617
governance	0.0588572
racism	0.0578072
intolerance	0.0572131
domination	0.05622
apparatchiks	0.055923
"market economy"	0.055844
conservatism	0.0553478
communism	0.0552064
tribalism	0.0550993
arrogance	0.054984
callousness	0.0549475
bribe-taking	0.0547347
"corporal punishment"	0.0541715
persecution	0.053743
militarism	0.0531227
underdevelopment	0.053111
patriotism	0.0530352
radicalism	0.0526593
subjugation	0.0522889
backwardness	0.0521739
malfeasance	0.0517226
militancy	0.0516524
Republicanism	0.0512789
"free enterprise"	0.051276
injustice	0.0512531
inflexibility	0.0512095
divisiveness	0.0507348
pacification	0.0507021
"freedom of the press"	0.0504518
sensationalism	0.0504151
"legal code"	0.0503556
fundamentalism	0.0503403
insecurity	0.0501112
extravagance	0.0499343
sloth	0.0498994
criminality	0.0498605
Openness	0.0496142
incompetence	0.049204
impunity	0.0491218
demagoguery	0.0490851
hooliganism	0.0488715
powerlessness	0.0487284
anarchy	0.0486622
polygamy	0.0485872
opportunism	0.0480585
inefficiency	0.0478223
immorality	0.0475999
fragmentation	0.047597
Elitism	0.0474736
Indiscipline	0.0467404
idolatry	0.0462038
shyness	0.0456852
embezzlement	0.0454939
dishonesty	0.0453614
consumerism	0.0450171
suppression	0.0445815
influence-peddling	0.0444353
imperialism	0.0444111
selflessness	0.0443759
malpractice	0.043995
"election fraud"	0.0438375
nationhood	0.0438169
"political boss"	0.0437437
pacifism	0.0437196
disloyalty	0.043677
secrecy	0.0436426
ineptitude	0.0434035
fanaticism	0.0430492
indebtedness	0.0429314
greed	0.0427245
geopolitics	0.0425664
"rise to power"	0.0425328
Sleepwalking	0.0422759
"racial segregation"	0.0422491
languor	0.0421882
"economic system"	0.0417412
stagnation	0.0416975
zealotry	0.0416555
benevolence	0.0416412
self-government	0.0414492
homelessness	0.0414392
splittism	0.0411743
timidity	0.0411569
"freedom of speech"	0.0410457
multiculturalism	0.0409013
activism	0.040806
piracy	0.0407302
naivete	0.0403926
"red tape"	0.0402016
"practical joke"	0.0401344
intimidation	0.0400841
"grand larceny"	0.0400424
chauvinism	0.0400376
))
(authority (desc 236231) (sims
government	0.233284
police	0.220114
official	0.198478
agency	0.174064
regulator	0.1734
administration	0.162731
department	0.158479
ministry	0.154869
prosecutor	0.154603
military	0.14549
"federal government"	0.14159
leadership	0.140926
court	0.140713
Congress	0.139878
committee	0.13941
leader	0.139236
commission	0.138795
"security force"	0.138627
investigator	0.135082
FBI	0.134594
expert	0.134338
"local government"	0.134269
Council	0.133965
power	0.133869
"central bank"	0.131883
officer	0.13185
organization	0.130034
army	0.127643
judge	0.12751
President	0.126709
office	0.126383
jurisdiction	0.12488
force	0.124754
"United Nations"	0.124192
"Justice Department"	0.124189
"federal official"	0.12261
troop	0.121672
parliament	0.121656
institution	0.120477
minister	0.120136
"armed forces"	0.118603
party	0.118256
doctor	0.118177
bureau	0.116606
lawmaker	0.116527
community	0.116118
people	0.114799
inspector	0.114505
Judiciary	0.114419
citizen	0.11427
company	0.114016
state	0.113741
law	0.113598
group	0.113293
regime	0.112918
NATO	0.112155
legislature	0.111487
member	0.110032
Israel	0.109929
U.N.	0.109177
representative	0.1085
scientist	0.108294
bank	0.108009
diplomat	0.107696
rebel	0.106759
politician	0.106583
delegation	0.106412
tribunal	0.106361
management	0.10606
administrator	0.105858
personnel	0.105605
embassy	0.105256
"political party"	0.105198
businessmen	0.105024
employer	0.10464
federation	0.104432
"Securities and Exchange Commission"	0.10438
control	0.104232
"Security Council"	0.103394
union	0.103353
"law enforcement"	0.103241
"foreign minister"	0.103138
"police force"	0.10308
Palestinian	0.102606
FDA	0.102312
"Foreign Ministry"	0.102283
commissioner	0.102224
General	0.102101
commander	0.101703
"police department"	0.101328
legislator	0.101308
resident	0.101159
sovereignty	0.100862
worker	0.100668
board	0.100507
airline	0.100498
"political leader"	0.100399
Ambassador	0.100294
agent	0.10001
country	0.0998723
association	0.0998669
investor	0.099728
"business community"	0.09965
peacekeeper	0.0990681
Governor	0.0990279
FAA	0.0988606
side	0.0986701
"Food and Drug Administration"	0.0986668
soldier	0.0985392
media	0.0980145
staff	0.0979611
IOC	0.0978254
Taliban	0.0977569
ally	0.0976667
lawyer	0.0972727
"municipal government"	0.0971066
"trade union"	0.0970249
FCC	0.0967795
public	0.0966935
body	0.0964042
militia	0.0960627
parent	0.0958942
Israeli	0.095676
policy	0.0955598
corporation	0.0954433
"task force"	0.0953628
"Supreme Court"	0.0952551
industry	0.0952523
opposition	0.0951371
INS	0.0947462
"Interior Ministry"	0.093977
responsibility	0.0937667
"United States"	0.0933332
"Federal Communications Commission"	0.0932419
"Finance Ministry"	0.0931012
IMF	0.0929466
"State Department"	0.0926222
researcher	0.0923959
panel	0.092096
"financial institution"	0.0920521
"Ministry of Health"	0.0920214
"Palestinian Authority"	0.0919942
faction	0.091692
"Immigration and Naturalization Service"	0.0913769
farmer	0.091314
"Kofi Annan"	0.0911893
IRS	0.0909936
cabinet	0.0907366
chief	0.090645
"U.N. Security Council"	0.0905238
U.S.	0.0903191
Serbs	0.0902794
rule	0.0902513
Republican	0.0901826
nation	0.0901608
"international organization"	0.0901124
PNA	0.0899055
"Coast guard"	0.0897454
"European Commission"	0.0897294
voter	0.0894103
counterpart	0.0891747
negotiator	0.0887294
Milosevic	0.0884679
Mayor	0.088465
organ	0.0884054
observer	0.0884006
EPA	0.0882222
"finance minister"	0.0881965
security	0.0881661
journalist	0.0881625
employee	0.0881108
"White House"	0.0879157
SEC	0.0877464
Magistrate	0.0874094
Russian	0.0873294
firm	0.0872929
university	0.0871936
"military leader"	0.0870269
decision	0.0870188
"secret service"	0.086989
"business leader"	0.0869874
sector	0.0869166
consumer	0.0868703
Pentagon	0.0867757
system	0.0867449
"Department of Justice"	0.0866602
"police officer"	0.0865469
Clinton	0.0864491
"European Union"	0.0862943
EU	0.08627
environmentalist	0.0862062
hospital	0.0859656
institute	0.0857923
"head of state"	0.0857356
regulation	0.0857341
Senate	0.0857164
guerrilla	0.085262
navy	0.0852129
mandate	0.0851459
bureaus	0.0850573
))
(authorization (desc 25551) (sims
permission	0.19291
approval	0.178895
consent	0.146019
mandate	0.130032
permit	0.122545
clearance	0.122369
certification	0.105539
license	0.101912
"work permit"	0.0963861
waiver	0.0920724
resolution	0.0907058
notification	0.0901749
directive	0.0875787
certificate	0.0873182
"green light"	0.0872039
backing	0.086073
"Resolution @@@"	0.0852905
appropriation	0.0849339
visa	0.08411
registration	0.0822589
funding	0.080171
assurance	0.0792513
guarantee	0.0789494
accreditation	0.078937
licence	0.0788921
instruction	0.0769216
documentation	0.0768926
guidance	0.0764115
endorsement	0.0763178
exemption	0.0754329
passport	0.0751381
assistance	0.0750972
authority	0.0744868
ratification	0.0742084
request	0.0740182
clarification	0.0739962
oversight	0.0739246
warrant	0.0739144
consultation	0.0734629
supervision	0.0731574
verification	0.0727775
"financial aid"	0.072684
"power of attorney"	0.0724371
recommendation	0.0714625
confirmation	0.0705818
sanction	0.0697957
recognition	0.0695905
go-ahead	0.06952
allocation	0.0692563
financing	0.0688747
pardon	0.067633
requirement	0.0662139
apology	0.066043
regulation	0.0660226
notice	0.0660088
"Resolution @@@@"	0.0659285
identification	0.0644153
commitment	0.0635776
extension	0.0635472
amnesty	0.0633815
guideline	0.0633158
procedure	0.0631054
renewal	0.0630999
dispensation	0.0628516
input	0.0628025
"search warrant"	0.0623276
consideration	0.0621505
legislation	0.0619937
document	0.0619897
charter	0.0619291
fast-track	0.0617465
"background check"	0.0615981
protection	0.0609792
framework	0.0609786
injunction	0.0608703
"stay of execution"	0.0606084
referral	0.0606042
citizenship	0.060552
"marriage license"	0.0597564
reprimand	0.059494
privilege	0.0594766
"driver's license"	0.0594721
explanation	0.0594701
reimbursement	0.0592543
asylum	0.0590245
Declaration	0.0589163
justification	0.0588344
responsibility	0.0588057
subsidy	0.0587395
quota	0.0584802
provision	0.0584085
invitation	0.0582699
evaluation	0.0582421
payment	0.058176
membership	0.0581512
concession	0.0578814
scrutiny	0.05788
condemnation	0.057755
immunity	0.0577013
paperwork	0.0576705
arrangement	0.0574682
participation	0.0574667
accountability	0.0573372
restriction	0.0570495
decree	0.0568873
warning	0.0566838
modification	0.0565661
deferment	0.0565576
intervention	0.0563415
moratorium	0.0560267
timetable	0.0558757
"security clearance"	0.0558345
"tax break"	0.0552913
acceptance	0.0552775
blessing	0.0551675
jurisdiction	0.0550907
naturalization	0.054875
proposal	0.0547438
patent	0.0544805
lease	0.0544438
refund	0.054259
safeguard	0.0542429
"pay raise"	0.0542004
revision	0.0539079
appointment	0.0536225
commendation	0.0532865
appraisal	0.0530238
knowledge	0.0527217
acknowledgment	0.052692
qualification	0.0525164
clemency	0.0525112
validation	0.052291
"food aid"	0.052271
incentive	0.0522029
testing	0.0521617
application	0.0521011
authentication	0.0520539
subpoena	0.0520321
initiative	0.0519108
representation	0.0517649
pledge	0.0515039
deployment	0.0513494
consensus	0.0513229
infusion	0.0513216
rebate	0.0512005
quorum	0.0511638
inspection	0.0509774
enforcement	0.0508337
assessment	0.0508337
transparency	0.0505786
planning	0.0504077
"contingency plan"	0.0503948
signature	0.0503391
bailout	0.0502572
overhaul	0.0500346
petition	0.0500235
"legal status"	0.0500155
mechanism	0.0498633
PNTR	0.0498371
discretion	0.0497265
reinforcement	0.0493923
fee	0.0493564
extradition	0.0493006
adoption	0.0492549
diploma	0.0491769
compensation	0.0491551
ultimatum	0.0490915
handout	0.0490909
leniency	0.0490178
reassurance	0.0489801
examination	0.0489727
determination	0.0488746
inquiry	0.0487834
involvement	0.048733
timeframe	0.0486002
amendment	0.0483819
"policy change"	0.0483159
acquiescence	0.0482274
reinstatement	0.0480377
parole	0.047875
"credit line"	0.0477002
encouragement	0.047607
indemnity	0.047292
credential	0.0471829
punishment	0.0471192
"building permit"	0.0470705
designation	0.0470147
"U.N. Charter"	0.0469656
prescription	0.0469652
allowance	0.0469556
admission	0.0469103
readiness	0.0468601
"identity card"	0.0467637
rejection	0.0467149
objective	0.0465883
prohibition	0.0464391
reconsideration	0.0463859
disclosure	0.0462022
reprieve	0.0461445
postponement	0.0461066
))
(authorship (desc 2552.53) (sims
sheaf	0.0943574
veracity	0.0830088
signer	0.0804865
authenticity	0.0797489
"Revised Version"	0.0772687
paternity	0.0669707
gestation	0.0663768
"dust jacket"	0.0651261
provenance	0.0642617
"one section"	0.0631773
legality	0.0630622
bloodline	0.0626052
parentage	0.0620976
"first reading"	0.0594943
sending	0.0580496
"two boxes"	0.0561815
declassification	0.0550668
appropriateness	0.0547389
"first third"	0.0546368
trove	0.0542445
illegality	0.0538468
durability	0.0533049
coauthor	0.0527075
Reauthorization	0.0526007
Constitutionality	0.0520682
ancestry	0.0506412
originality	0.0506124
infallibility	0.0504231
Jewishness	0.0500158
validity	0.0499706
drafters	0.0495203
likability	0.0493271
"new edition"	0.0487493
liturgy	0.0486684
abolishment	0.0484125
"Charles Gibson"	0.0483163
renomination	0.0478853
lineage	0.0478686
ream	0.0475607
"accounting problem"	0.0470772
Diagnoses	0.0470581
drafting	0.0468385
cache	0.0458252
vagueness	0.0447213
paucity	0.0445756
feasibility	0.0445681
sender	0.0439602
"Don Giovanni"	0.0437186
culpability	0.0436787
"Mona Lisa"	0.0435637
"water right"	0.0433334
primacy	0.0432695
precept	0.0431105
wording	0.0430443
truthfulness	0.04303
maturation	0.0423189
divestment	0.0422023
spool	0.0421718
phaseout	0.0420901
drawdown	0.0417453
hang-up	0.0413254
synopsis	0.041311
cellmate	0.041173
practicality	0.0409859
cockiness	0.0406991
synopses	0.0406534
foreword	0.0406506
genesis	0.0406451
perfectionism	0.0406279
specificity	0.0404875
"Social Security number"	0.0402791
subordination	0.0401434
dollarization	0.0401388
))
(autism (desc 7290.57) (sims
"cerebral palsy"	0.278318
epilepsy	0.268544
retardation	0.244768
"Parkinson's disease"	0.215503
Parkinson's	0.213956
"manic depression"	0.211964
asthma	0.207626
ADHD	0.206578
schizophrenia	0.200424
dementia	0.19613
"multiple sclerosis"	0.195133
dyslexia	0.190342
diabetes	0.184829
leukemia	0.182198
"cystic fibrosis"	0.180139
Osteoporosis	0.178931
"mental illness"	0.175368
narcolepsy	0.174226
syndrome	0.16735
"mental disorder"	0.164704
"rheumatoid arthritis"	0.164029
Alzheimer	0.163125
anemia	0.162578
arthritis	0.161287
disorder	0.159826
"heart disease"	0.156048
als	0.155801
"bipolar disorder"	0.15415
lupus	0.153594
"anxiety disorder"	0.150312
glaucoma	0.149545
disability	0.148184
hypertension	0.146564
apnea	0.144525
Obesity	0.143478
"cardiovascular disease"	0.142735
"lead poisoning"	0.142078
infertility	0.137321
hemophilia	0.13307
blindness	0.130932
hepatitis	0.130626
"Lyme disease"	0.129801
fibrillation	0.129578
allergy	0.128871
"lung cancer"	0.128618
"muscular dystrophy"	0.127978
disease	0.12472
deafness	0.123971
cancer	0.123424
"colon cancer"	0.12291
impairment	0.121522
melanoma	0.121487
"skin cancer"	0.121169
"genetic disease"	0.12098
cataract	0.120358
abnormality	0.120069
"personality disorder"	0.120064
"brain tumor"	0.118937
myeloma	0.117129
"memory loss"	0.115732
defect	0.115595
leprosy	0.115321
osteoarthritis	0.114755
ulcer	0.114173
"high blood pressure"	0.112822
syphilis	0.112394
HIV	0.111105
Alcoholism	0.110996
ailment	0.110913
nearsightedness	0.110749
tuberculosis	0.109565
"heart condition"	0.108852
Psychosis	0.108326
deformity	0.107767
Depression	0.107723
SIDS	0.106677
paralysis	0.106548
illness	0.105953
CJD	0.105338
Addiction	0.104884
jaundice	0.104702
lymphoma	0.104385
impotence	0.103929
bifida	0.103811
malaria	0.102529
encephalitis	0.102188
migraine	0.102057
"food poisoning"	0.0999797
"neurological disorder"	0.0999185
"congestive heart failure"	0.0996866
arrhythmia	0.0996539
dysfunction	0.0990408
infection	0.0982485
"heart failure"	0.0973932
Tb	0.0971849
"drug addiction"	0.0971328
Dengue	0.0969079
aids	0.0964801
Meningitis	0.0959467
"respiratory disease"	0.0948025
insomnia	0.0945801
malformation	0.0940216
pneumonia	0.0939424
"dengue fever"	0.0931497
HIV/AIDS	0.0928719
acne	0.0916584
"eye disease"	0.0914907
"back pain"	0.0914603
"alcohol abuse"	0.0907919
deficiency	0.0907006
angina	0.0906107
"infectious disease"	0.0896639
hyperactivity	0.0896413
sickness	0.0878367
"substance abuse"	0.0869325
malnutrition	0.0866341
"sexually transmitted disease"	0.085925
"liver disease"	0.0858544
"hepatitis B"	0.0853738
trachoma	0.0852573
"tooth decay"	0.0850793
influenza	0.0849876
diarrhea	0.0834489
IQ	0.0820896
"venereal disease"	0.0818584
heartburn	0.0814169
fever	0.081254
tumor	0.0812227
bronchitis	0.0809887
cirrhosis	0.0786562
cholesterol	0.0785749
"kidney disease"	0.0782617
"health problem"	0.0781137
"West Nile"	0.0778347
menopause	0.0777671
"mental health"	0.0773119
flu	0.0772047
shyness	0.0768072
"heart attack"	0.0758807
"AIDS virus"	0.0748058
dehydration	0.0747482
"common cold"	0.0746465
lesion	0.0743139
STDs	0.0742194
gout	0.0740191
baldness	0.0736783
reflux	0.0736557
myopia	0.0731634
polio	0.0729303
atherosclerosis	0.0723984
poisoning	0.0723692
anorexia	0.0718486
"writer's block"	0.0704267
headache	0.0703996
symptom	0.0701907
Burnout	0.0701813
miscarriage	0.0701084
incontinence	0.0699731
relapse	0.0699255
botulism	0.069018
cholera	0.06898
Lyme	0.0688312
infirmity	0.0687346
virus	0.0685471
"heroin addiction"	0.0681135
salmonella	0.0673097
mutation	0.0668391
degeneration	0.0667165
phobia	0.0665686
IDD	0.0664485
"drug abuse"	0.0659846
nausea	0.0655939
malady	0.0654675
inflammation	0.0650906
malignancy	0.0650709
heartbeat	0.0649097
disorientation	0.0646957
coli	0.0642537
delusion	0.0640972
TCM	0.0640895
gonorrhea	0.0637973
"sore throat"	0.0634277
Rabies	0.0633866
"blood pressure"	0.0632519
carcinoma	0.0631731
trauma	0.0620613
emphysema	0.0614257
"neurological disease"	0.0612551
"blood clot"	0.061169
"juvenile delinquency"	0.0609106
Dysentery	0.0607526
delirium	0.0603107
fatigue	0.0597051
Distress	0.059379
"acid rain"	0.0592258
"drug problem"	0.0589966
"child abuse"	0.0589287
frostbite	0.0583806
mortality	0.058305
hypothermia	0.0582798
))
(Autissier (desc 2332.1) (sims
Soldini	0.1725
Fossett	0.123963
"Young America"	0.0874757
Golding	0.0853021
Cayard	0.0794766
"New York Yacht Club"	0.0718707
Chevenement	0.0714339
"Team New Zealand"	0.0713432
Haarhuis	0.0711104
Pantani	0.0709513
Chilavert	0.0674791
yachtsman	0.0666739
"Ethiopian Herald"	0.0643671
Frenchwoman	0.0641474
Mikhailov	0.064104
Dragila	0.0622922
"Indonesian Observer"	0.0612826
"Financial Mail"	0.0611559
Zolak	0.0611249
Bulatovic	0.060811
Dougherty	0.0607467
Farrakhan	0.0605241
"Business Times"	0.0601879
Medvedev	0.0600766
Meciar	0.0599975
"U.S. Labor Department"	0.059812
kayaker	0.0598085
Hagi	0.0594123
Schett	0.0593122
"Post Express"	0.0593119
"Daily Times"	0.0591266
Asprilla	0.0588115
Tapia	0.0585091
Katsav	0.0583795
Djindjic	0.0583406
Bouteflika	0.0582258
Bratton	0.057936
Perec	0.0578554
Kaunda	0.0578447
Sonia	0.0576308
Kenseth	0.0575196
"Kathmandu Post"	0.0574279
Devers	0.0574209
"Robert E. Rubin"	0.0573755
Aliev	0.0572786
Conner	0.0570615
Gusmao	0.0568766
Piccard	0.0568324
Zyuganov	0.0564201
Skiles	0.0564085
Berisha	0.0563674
Sowetan	0.0562597
Matthaeus	0.0559649
Bierhoff	0.0558834
Ortega	0.0555238
"Khieu Samphan"	0.0551767
"Ghana News Agency"	0.0551186
Choi	0.0550846
Harkes	0.0549383
Sahadi	0.0549292
"Kyodo News"	0.0545881
WARRICK	0.0545725
"Li Xuemei"	0.0543124
"Moscow Times"	0.0542034
Denktash	0.0539943
Brister	0.0539745
Nyerere	0.0537104
Pioline	0.0536435
Sassa	0.0536355
Solis	0.0536085
rudd	0.053433
Alvarez	0.0534125
Capriati	0.0532708
Driscoll	0.053129
Guthrie	0.0530883
Gangelhoff	0.0530791
balloonist	0.0530163
Peres	0.0530079
Gascoigne	0.0529406
"Bryan Cox"	0.0528958
"Straits Times"	0.052881
"Southern African Broadcasting Association"	0.0528795
Waltrip	0.0526874
Klinsmann	0.0526559
Schott	0.0526519
"Hanan Ashrawi"	0.0523669
"Thai News Agency"	0.0521855
Maradona	0.0521614
Antara	0.0521349
Mahoney	0.0520885
Wahid	0.0520596
Kajiyama	0.0519989
Savimbi	0.0519831
"New Nigerian"	0.0519303
Carney	0.0519075
Hendrickson	0.0518059
"National Association of Realtors"	0.051797
Botha	0.0517587
Olsen	0.0516275
Fernandez	0.0515056
Wohlers	0.0514577
Tallas	0.0513771
Hiett	0.0513266
Dunston	0.0512769
"Dejan Stankovic"	0.0511471
Twenty-three	0.0511117
Krone	0.0510905
Chavalit	0.0509838
Sainz	0.0509774
"Egyptian Gazette"	0.0508135
Kazhegeldin	0.0507772
boater	0.0507648
O'Connor	0.0507325
"Egyptian Middle East News Agency"	0.050701
Ottey	0.0505859
Doohan	0.0505549
Virenque	0.0505187
Deri	0.050436
D'Alessandro	0.0503898
Laudrup	0.0502274
Savarese	0.0501816
"Steve DeBerg"	0.0501573
Scruggs	0.0501247
Clerides	0.0500763
"Business Day"	0.049789
Benitez	0.0497733
"Vietnam News"	0.0495939
al-Hayat	0.0495904
"Australian Bureau of Statistics"	0.0495218
ATA	0.0494293
Jager	0.0493811
Pak	0.0493584
"De Klerk"	0.0493555
Berenson	0.0492775
"Saudi Press Agency"	0.0492001
"China Daily Business Weekly"	0.0491347
Lobo	0.0489507
Hershiser	0.0488811
"Long-Term Capital Management"	0.0488687
Perrot	0.048862
ANGELOS	0.0488148
Fraga	0.0487466
"John Paul"	0.0487059
Ganga	0.0486781
Perisho	0.0486255
Kwan	0.0485931
Sidot	0.0485562
"Korean Central News Agency"	0.0484936
Marulanda	0.048466
"Van Roost"	0.0484226
"Di Canio"	0.0483924
"Dow Jones Newswires"	0.0483902
Ansa	0.0483858
Izetbegovic	0.0482464
Karmapa	0.0481425
"Kyodo News Service"	0.0480156
Kodikian	0.0479186
Kasyanov	0.0479018
Surhoff	0.0478493
"foster mother"	0.047839
Shackleton	0.0478159
Margolis	0.0477804
Smitherman	0.0477801
MTI	0.0476182
Uliassi	0.0475658
Kjus	0.0475429
Turabi	0.0474863
Montgomerie	0.0474775
Jalabert	0.047477
Gadhafi	0.0474743
"DOUG JONES"	0.047467
"El Guerrouj"	0.0474465
"Zambia News Agency"	0.047433
Lucic	0.0474303
Orosco	0.0473796
Boardman	0.0473344
Knoblauch	0.0472234
wheeler	0.0472128
Supachai	0.0472117
parachutist	0.0471998
Horne	0.0471961
Tass	0.0471911
Ainge	0.0471583
"East African Standard"	0.0471491
"Martin Luther"	0.0471423
"Daily Star"	0.0471127
"Zimbabwe News Agency"	0.0471083
Radke	0.0469703
Jensen	0.04697
Cleese	0.0468893
"Iran News"	0.046858
Akers	0.0468414
Fuhr	0.0468294
"Marion Jones"	0.0468117
Fischer	0.0467258
Johansson	0.0467189
"Antara News Agency"	0.0467147
"Long-Term Credit Bank"	0.0467026
"Daily Nation"	0.0467019
Neal	0.0466978
))
(auto (desc 32079.8) (sims
automobile	0.276294
"motor vehicle"	0.20895
electronics	0.16847
semiconductor	0.164583
petrochemical	0.153262
machinery	0.150884
appliance	0.150127
"home appliance"	0.150039
"household appliance"	0.148645
"passenger car"	0.143671
textile	0.142387
Motorcycle	0.140523
"building material"	0.13932
car	0.138426
"machine tool"	0.135629
shipbuilding	0.134436
pharmaceutical	0.132204
"consumer electronics"	0.130782
apparel	0.128353
vehicle	0.126013
metallurgy	0.122223
"consumer goods"	0.121888
aerospace	0.121071
footwear	0.12015
steel	0.119248
petroleum	0.118749
garment	0.118482
"communications equipment"	0.116299
telecommunication	0.113548
"real estate"	0.113417
furniture	0.113202
equipment	0.110192
"durable goods"	0.109897
aviation	0.107199
"electronic equipment"	0.106772
cosmetic	0.106244
machine-building	0.105991
truck	0.105509
retail	0.103697
"integrated circuit"	0.103131
foodstuff	0.103082
Clothing	0.102774
goods	0.102567
manufacturing	0.102526
"aircraft engine"	0.102472
jewelry	0.101598
chemical	0.100219
"diesel engine"	0.0997286
tractor	0.0997103
"food product"	0.099122
"spare part"	0.0980112
bicycle	0.0976346
"raw material"	0.0975549
cement	0.0972339
beverage	0.0969727
airplane	0.0956309
banking	0.0955719
"chemical industry"	0.0953559
"life insurance"	0.0949981
product	0.0943581
mining	0.0934274
Microelectronics	0.092794
aircraft	0.0916256
metal	0.0908205
ceramic	0.0904744
hardware	0.0903793
tobacco	0.0902109
"office furniture"	0.0889466
newsprint	0.0888202
fertilizer	0.0884518
liquor	0.087881
insurance	0.0878561
"crude oil"	0.0874828
toy	0.0874073
Telecoms	0.087111
transportation	0.0861817
"high technology"	0.0857267
Computer	0.0856788
"personal computer"	0.084833
"computer hardware"	0.0846149
"car maker"	0.0845677
Coal	0.0843158
timber	0.0842585
handicraft	0.0837765
oil	0.0836267
snowmobile	0.0826192
"aircraft part"	0.0823549
commodity	0.0819863
"electric power"	0.0819578
air-conditioner	0.0815826
processing	0.0813692
engine	0.0806883
food	0.0798268
"jet engine"	0.0797526
"sports car"	0.0796256
electricity	0.0793846
"palm oil"	0.0793555
railroad	0.0792804
"disk drive"	0.0792374
"tv set"	0.0791889
tire	0.0790675
Sedan	0.0788845
cigarette	0.0788579
engineering	0.0786103
"cellular telephone"	0.0785415
"washing machine"	0.0783491
"computer equipment"	0.0781623
"natural gas"	0.0779267
utility	0.0778719
motorbike	0.0778233
gasoline	0.0777955
Housing	0.0773823
grain	0.0773504
gas	0.0768623
"alcoholic beverage"	0.076861
furnishings	0.076747
"credit card"	0.0767319
firearm	0.0764996
conditioner	0.0762877
software	0.0762675
"automobile industry"	0.0761497
lumber	0.0760561
plastic	0.0760548
mortgage	0.0759722
agriculture	0.0753268
lubricant	0.0752967
minivan	0.0752751
bus	0.0751323
refining	0.0751303
copier	0.0747949
bioengineering	0.0746786
component	0.0740042
medicine	0.0737211
pulp	0.0736639
"electric car"	0.0736579
"auto maker"	0.0736022
wine	0.0735343
refrigerator	0.0735042
industry	0.0732996
"electronics industry"	0.072767
"frozen food"	0.0727307
Copper	0.0722531
"mutual fund"	0.0719635
"construction industry"	0.0719511
Telecom	0.0717709
"dairy product"	0.0714557
machine	0.0714206
"information technology"	0.0713894
tourism	0.0712325
"sewing machine"	0.0711458
RV	0.0710826
rubber	0.0710004
transport	0.0709325
retailing	0.0708513
energy	0.0708468
"soft drink"	0.0705195
"home mortgage"	0.0704225
"power plant"	0.0703739
jute	0.0703231
packaging	0.0703071
reinsurance	0.0702174
locomotive	0.0701422
fuel	0.070112
SUV	0.0698624
poultry	0.069717
technology	0.0696928
cotton	0.0695768
knitwear	0.0695673
"cellular phone"	0.0692737
"iron ore"	0.0690977
construction	0.0690273
mineral	0.0688963
"car manufacturer"	0.0688747
accessory	0.0688089
jeep	0.068808
item	0.068705
housewares	0.0684223
shoe	0.0682517
brokerage	0.0681262
bike	0.0680434
property	0.0680236
Livestock	0.0679969
"health care"	0.0679716
SUVs	0.0677509
biotechnology	0.0672499
wheat	0.0671859
"pickup truck"	0.0670525
"North American"	0.0669685
material	0.0669409
aluminum	0.0667802
sector	0.0666987
diamond	0.0663925
"pet food"	0.0659914
generator	0.0659665
taxi	0.065693
factory	0.0654451
chip	0.0653941
export	0.06508
jewellery	0.0650367
timepiece	0.0648234
))
("auto company" (desc 2933.07) (sims
"auto maker"	0.196661
carmaker	0.191248
"car maker"	0.176467
"car manufacturer"	0.174865
automaker	0.168211
carmakers	0.167537
steelmaker	0.138692
toymaker	0.135138
automakers	0.126157
"toy maker"	0.124306
"electronics company"	0.123524
"life insurer"	0.119223
"auto manufacturer"	0.117408
"department store chain"	0.113174
"steel company"	0.111875
"brokerage house"	0.108994
shipbuilder	0.108075
"food company"	0.107874
"investment house"	0.1056
"shipping company"	0.104982
multinationals	0.102626
"semiconductor maker"	0.101814
consortia	0.101239
"futures exchange"	0.100499
"toy retailer"	0.0999074
"credit bureau"	0.09935
"trucking company"	0.0988281
"business organization"	0.0957614
"defense contractor"	0.0946395
drugmaker	0.0919329
"drug maker"	0.0879463
metropolises	0.0869899
"insurance firm"	0.0867749
"building society"	0.0845472
"retail chain"	0.0845058
"NEC Corp."	0.0842652
"software maker"	0.0830522
"Hollywood studio"	0.0822781
Peugeot	0.081484
meatpackers	0.0799841
"banking company"	0.0799777
"Nissan Motor Co."	0.079939
issuers	0.0798719
Hyundai	0.0798376
GPU	0.0787061
"private foundation"	0.0785477
"gas company"	0.0783672
"oil producer"	0.0782581
"insurance broker"	0.0782094
brewery	0.0781175
CNOOC	0.0780277
Dresdner	0.0775845
"finance company"	0.0775586
"publishing company"	0.0774833
HBOC	0.0768309
"Protestant denomination"	0.076312
"medical institution"	0.0761472
"major-league team"	0.0757418
"telephone company"	0.0755865
"Silicon Graphics"	0.0749831
"mining company"	0.0745516
shipper	0.0742369
brokerage	0.0741267
"newspaper publisher"	0.0737891
"commercial bank"	0.0734808
"brokerage firm"	0.0734627
"financial institution"	0.073284
ARCO	0.0729108
"New York Republicans"	0.0726503
"cable operator"	0.0725535
"bank holding company"	0.0720601
"bus company"	0.0718284
chaebol	0.0713149
"accounting firm"	0.0713139
importer	0.0712256
"Toyota Motor Corp."	0.0711881
"two pitchers"	0.0708763
"private corporation"	0.0708539
insurer	0.0707845
"Deutsche Bank"	0.0705919
"entitlement program"	0.0704552
"power company"	0.0700738
Volkswagen	0.0698804
Scientific-Atlanta	0.069854
refiner	0.0697142
"insurance company"	0.0694754
"three pitchers"	0.0693422
"computer giant"	0.0692156
McCaw	0.0690206
chipmaker	0.0687183
"tire maker"	0.0685295
"advertising agency"	0.0684473
policymaker	0.0683666
"Health and Welfare Ministry"	0.0682817
"investment trust"	0.0679381
"phone company"	0.0677874
state-owned	0.0674258
"home builder"	0.0672087
bottlers	0.0671056
"ad agency"	0.0669734
"travel agency"	0.0665191
"Thermo Electron"	0.0663259
"publishing house"	0.0657197
"Raytheon Co."	0.0656585
"market maker"	0.0656178
wholesaler	0.0653824
Tropicana	0.0652779
Raytheon	0.0652428
drugmakers	0.0651696
"financial organization"	0.0650809
"insurance market"	0.0648358
"General Motors Corp."	0.0647068
"TV network"	0.0646122
"Volkswagen AG"	0.0645529
"electric company"	0.0644734
"Baby Bells"	0.0640378
auto	0.0640219
"Long-Term Credit Bank"	0.0639415
"savings bank"	0.0639103
issuer	0.0638054
"Chrysler Corp."	0.0635797
"Ford Motor Company"	0.0634302
"Digital Equipment Corp."	0.0633512
animators	0.0632654
Seagate	0.0631634
"credit union"	0.0631054
"Nomura Securities Co."	0.0630013
"opera company"	0.0629755
"GE Capital"	0.0628888
"educational institution"	0.062821
"CBS Corp."	0.0627514
ISPs	0.0626574
"employment agency"	0.0625689
"subsidiary company"	0.0624671
"trade association"	0.0624071
"Atlantic Richfield"	0.0622753
"Dell Computer Corp."	0.0622618
"school of thought"	0.062234
Chris-Craft	0.0619943
"bank failure"	0.0619913
chaebols	0.0619681
triathletes	0.0616888
"Met Life"	0.0615426
subcontractor	0.0615163
BofA	0.0613617
BankAmerica	0.0613224
conglomerate	0.0612926
"Hyundai Group"	0.0611829
"broadcasting company"	0.061116
Renault	0.0610319
corporates	0.060831
bottler	0.0608041
"banking industry"	0.0604813
"Knight Ridder"	0.0603464
"trading partner"	0.0601504
chipmakers	0.0600446
ADM	0.0598715
"U.S. Trust"	0.0597021
Delphi	0.0596449
Thyssen	0.0595348
bookseller	0.0594498
"Russian bank"	0.0594412
Eximbank	0.059337
Loewen	0.0590356
"furniture company"	0.0590101
"Justice Ministry"	0.0589586
"Bankers Trust"	0.0589136
"Bankers Trust Corp."	0.0589052
"Chevron Corp."	0.058699
Informix	0.0585426
ABSA	0.0584362
"transportation company"	0.0583735
"chain store"	0.0583022
"Charles Schwab Corp."	0.0582764
"Ford Motor Co."	0.0582689
Siemens	0.0581174
"Viacom Inc."	0.0579981
"General Electric Co."	0.0579456
Bayer	0.0579193
"General Motors"	0.0578237
"steel mill"	0.0578225
Chrysler	0.0575555
"ballet company"	0.0574444
Sumitomo	0.0574354
"corporate investor"	0.0574179
"stock exchange"	0.0570735
"Adobe Systems"	0.0569103
agronomist	0.0568721
"Mobil Corp."	0.0568462
"Cendant Corp."	0.0567333
"benefit program"	0.0566542
"investment fund"	0.0566524
exhibitor	0.0565914
Broderbund	0.0563649
"Toys R Us"	0.0563134
petitioner	0.0562887
grocer	0.0562877
"Federal Express"	0.0562363
NTT	0.0562299
"Coca-Cola Enterprises"	0.05621
))
("auto maker" (desc 9666.71) (sims
automaker	0.308365
"car maker"	0.286648
carmaker	0.255327
automakers	0.225201
"car manufacturer"	0.219126
"auto company"	0.196661
carmakers	0.176267
shipbuilder	0.169928
"auto manufacturer"	0.163481
steelmaker	0.140459
"life insurer"	0.130636
"electronics company"	0.128495
toymaker	0.120326
"defense contractor"	0.117998
DaimlerChrysler	0.115957
manufacturer	0.115619
"cable operator"	0.11429
"software maker"	0.112154
"drug maker"	0.110766
"phone company"	0.104957
GM	0.104232
"telephone company"	0.103187
"steel company"	0.102917
"semiconductor maker"	0.102019
exporter	0.100983
Hyundai	0.100858
"Ford Motor Co."	0.10072
"toy maker"	0.100105
Toyota	0.0986527
airline	0.098504
"retail chain"	0.0977268
"shipping company"	0.0971724
multinationals	0.096687
"toy retailer"	0.096673
"brokerage house"	0.0961731
retailer	0.0960514
"futures exchange"	0.0958994
refiner	0.0955558
"oil producer"	0.09443
insurer	0.0941553
Nissan	0.0929667
"General Motors"	0.0921848
conglomerate	0.0920324
corporation	0.0917595
brewery	0.0913632
"insurance firm"	0.0913026
Volkswagen	0.091279
Mitsubishi	0.0912613
maker	0.0910182
"food company"	0.090944
Samsung	0.0904751
UAW	0.0891524
Honda	0.0878111
importer	0.0874084
"tire maker"	0.0870183
metropolises	0.0868754
"mining company"	0.0866664
"department store chain"	0.0856833
"financial institution"	0.0855658
shipper	0.0851621
Ford	0.0849809
supplier	0.0846495
issuer	0.0843997
"General Motors Corp."	0.083509
Chrysler	0.0830577
brokerage	0.0826152
bottlers	0.0821775
"trucking company"	0.0814892
carrier	0.0810009
"opera company"	0.0802085
"commercial bank"	0.0802072
Motorola	0.0796117
Renault	0.0793492
Mazda	0.0791922
Hitachi	0.0791875
"insurance company"	0.0788149
Fiat	0.0787609
Volvo	0.0785336
"computer giant"	0.0784098
issuers	0.0782292
"Ford Motor"	0.0781434
NEC	0.0779788
"trading partner"	0.0777362
drugmakers	0.0776005
ISPs	0.07742
"accounting firm"	0.0772907
"Boeing company"	0.0766123
"home builder"	0.0764769
giant	0.0761368
distributor	0.0750827
"ad agency"	0.0750737
chipmakers	0.0744663
Isuzu	0.0743866
"newspaper publisher"	0.0742687
bottler	0.0742459
Unilever	0.0741571
assembler	0.0740993
chaebol	0.0740561
"Daimlerchrysler AG"	0.0740342
"business organization"	0.0739966
"finance company"	0.0739308
"Toyota Motor Corp."	0.0736569
"brokerage firm"	0.073654
auto	0.0736022
grower	0.0735442
subsidiary	0.07347
drugmaker	0.0730812
Delphi	0.0726175
"labor union"	0.0726089
bookseller	0.0725691
"nuclear power"	0.0725187
provider	0.0724059
BMW	0.0723389
railroad	0.0720891
"advertising agency"	0.0719899
"Learning Co."	0.0719822
"electric company"	0.0719152
"Lucent Technologies"	0.0718744
Ericsson	0.0718398
Siemens	0.0717349
Kodak	0.0714425
transnationals	0.0707266
Daewoo	0.0707175
"stock exchange"	0.0705088
"industrial enterprise"	0.0704064
"General Electric"	0.0702893
wholesaler	0.0699972
"automobile industry"	0.0699363
"central bank"	0.0698138
grocer	0.069756
"TV network"	0.0697156
"Nissan Motor Co."	0.0695309
polluter	0.0690712
"Volkswagen AG"	0.0689991
IBM	0.0688733
"business community"	0.0686322
"Berkshire Hathaway"	0.0683008
ISP	0.0681544
"financial center"	0.0681095
"Lockheed Martin"	0.0679489
"insurance market"	0.0678323
developer	0.0678306
consortia	0.0677102
Compaq	0.0676089
utility	0.0673479
"Hollywood studio"	0.0672709
"publishing house"	0.0671358
"Northeast Utilities"	0.0668133
Daimler-Benz	0.0666095
Raytheon	0.0666053
VW	0.0662518
"Volvo AB"	0.0661516
"chain store"	0.0661395
Intel	0.0660255
advertiser	0.0659538
PictureTel	0.0657994
"banking company"	0.0657016
"Siemens AG"	0.0656883
Lucent	0.0655721
Lockheed	0.0654838
AutoNation	0.0653539
"trade union"	0.065271
Pfizer	0.0652603
"banking industry"	0.0652289
"investment trust"	0.0651809
operator	0.065041
"Lockheed Martin Corp."	0.0648768
Bridgestone	0.0647973
"business leader"	0.064782
Boeing	0.0646581
"NEC Corp."	0.0646513
RealNetworks	0.064581
"bank holding company"	0.0645791
"school district"	0.064569
lender	0.0645564
"investment house"	0.0645251
builder	0.0641761
"Boeing Co."	0.0641447
Banks	0.0641002
"television network"	0.0638913
"Hyundai Group"	0.0638911
"medical institution"	0.0637027
Lg	0.0635891
Pepsico	0.0635727
"travel agency"	0.063187
chipmaker	0.0631244
businessmen	0.0630826
"auction house"	0.0629899
"Pfizer Inc."	0.0629303
"Glaxo Wellcome"	0.0627911
meatpackers	0.0627838
underwriter	0.0627722
EMC	0.0626386
Nokia	0.0626235
"Gillette Co."	0.0623339
"BP Amoco"	0.0620941
employer	0.0619855
"Protestant denomination"	0.0619731
creditor	0.0619463
Scientific-Atlanta	0.0619296
))
("auto manufacturer" (desc 2479.33) (sims
"auto maker"	0.163481
"car manufacturer"	0.157178
"car maker"	0.139051
automakers	0.132003
carmakers	0.123076
"auto company"	0.117408
"insurance firm"	0.106181
"life insurer"	0.101205
automaker	0.1
steelmaker	0.0993635
"steel company"	0.0927783
resellers	0.0918247
Gunmakers	0.0905741
consortia	0.0894313
carmaker	0.0882695
"Commission on Elections"	0.0880861
"private corporation"	0.0852523
shipbuilder	0.0850031
"medical institution"	0.0847253
"major-league team"	0.0841029
"shipping company"	0.083687
"department store chain"	0.0828895
"Baby Bells"	0.0809579
"electronics company"	0.0799822
"industrial enterprise"	0.0798559
multinationals	0.0780161
"futures exchange"	0.0756046
major-leaguers	0.0750332
"ad agency"	0.0748801
"publishing house"	0.0738577
refiner	0.0738283
"Special Economic Zones"	0.0732825
insurer	0.0731498
nonprofits	0.0729223
parastatals	0.0728295
"stock company"	0.0720454
brewery	0.0719504
petitioner	0.0713976
state-owned	0.0708974
"travel agency"	0.0702706
"brokerage house"	0.0699821
"insurance company"	0.0691065
"NEC Corp."	0.0689332
exhibitor	0.0680565
"mining company"	0.0675276
holidaymaker	0.0673796
medium-sized	0.066895
"Hollywood studio"	0.0647358
"gold miner"	0.0640246
"food company"	0.0634362
"software maker"	0.0632996
craftsmen	0.0631985
"finance company"	0.0631555
"cable operator"	0.0626573
chipmakers	0.0626198
metropolises	0.0621172
AutoNation	0.0619246
"auction house"	0.0619225
"test-tube baby"	0.0618769
"power company"	0.0618142
"home builder"	0.0617393
"social event"	0.0617322
"Russian bank"	0.061672
"defense contractor"	0.0615095
Novartis	0.061469
"electronics industry"	0.0614533
fencer	0.0613963
litigant	0.0613038
"stamp collector"	0.0612309
"commercial bank"	0.0607477
"Softbank Corp."	0.060593
"electric company"	0.0604587
"power unit"	0.0604436
auctioneer	0.0599469
"patent office"	0.0597552
"agenda item"	0.0597455
"drug maker"	0.0596792
"trade association"	0.0594735
Generali	0.0594488
"New York Republicans"	0.059268
"oil producer"	0.058762
"Mike Foster"	0.0586856
"credit bureau"	0.0583894
"market participant"	0.0583237
"shipbuilding industry"	0.0583013
"computer giant"	0.0581674
polluters	0.0580562
"educational institution"	0.0578207
"joint-stock company"	0.0575702
Banks	0.0575323
Scientific-Atlanta	0.0574844
"Pfizer Inc."	0.0573812
"insurance market"	0.0567991
Yukos	0.0565214
varietals	0.056516
merchandiser	0.056229
ECNs	0.056123
shipper	0.0561116
homebuilder	0.0558379
"advertising agency"	0.0557796
"medical practitioner"	0.0554243
subcontractor	0.0552309
"U.S. Army Corps of Engineers"	0.0550044
Softbank	0.0549861
SOEs	0.0549763
"foreign officials"	0.0548529
"arms industry"	0.0548214
"movie maker"	0.0548089
wholesaler	0.0547848
oilfield	0.0546497
NGOs	0.0545722
QBs	0.0545712
"oil refinery"	0.0543746
"landscape architect"	0.0542637
signees	0.0542613
meccas	0.054162
"semiconductor maker"	0.0540905
enactors	0.0539779
issuers	0.0538316
"Merck &AMP; Co."	0.0538123
businesspeople	0.0537612
"toy maker"	0.0535976
"economic expert"	0.0535515
"business leader"	0.0534804
"fire fighter"	0.0533939
"state enterprise"	0.0532341
enterpreneurs	0.0531727
SMIs	0.0531244
trafficker	0.0529135
Hitachi	0.0527818
"religious leader"	0.052747
Islamists	0.0527067
"labor union"	0.0526225
videogames	0.0525236
subsector	0.0523039
"market maker"	0.0523005
congregants	0.052213
"business executive"	0.052213
BASF	0.0520441
"trade union"	0.0520304
calligrapher	0.0519807
exponent	0.0519623
"Bertelsmann AG"	0.0517888
websites	0.051735
bottlers	0.0516158
stowaway	0.0515683
"Publishers Clearing House"	0.051471
"Protestant denomination"	0.0513954
"General Motors Corp."	0.0513246
meatpackers	0.0512829
assembler	0.0512372
Hyundai	0.0512004
"Enron Corp."	0.0511838
businesswomen	0.0511453
debtor	0.0511288
"tax income"	0.051044
"newspaper publisher"	0.0508187
Clothier	0.0507956
importer	0.0507655
Bayer	0.0505624
winery	0.0505464
bootlegger	0.0505126
ISPs	0.0502902
"American International Group"	0.0502736
"government officials"	0.0502552
migrant	0.0502385
Industrialist	0.0502285
vaulter	0.0502159
middlemen	0.0501996
"Justice Ministry"	0.0501249
"investment house"	0.0500001
SEZs	0.0499865
"bank failure"	0.0499738
"equity fund"	0.0499684
vintner	0.0498068
dot-coms	0.0497566
flashpoints	0.0497274
Lukoil	0.0497035
"Procter &AMP; Gamble Co."	0.0496718
"Aetna Inc."	0.0495748
"dramatic event"	0.0495146
enlistee	0.0494345
"Ford Motor Co."	0.0493201
"TV network"	0.0492746
"first school"	0.049262
borrower	0.0491596
Toyota	0.049051
Intimidator	0.0490402
"opera company"	0.0489807
"transportation company"	0.0489498
internationals	0.0489476
strongmen	0.0489308
drugmakers	0.0489137
locality	0.048906
"film industry"	0.048838
"entitlement program"	0.0485824
rower	0.0485585
statesmen	0.0483015
"child welfare agency"	0.0482939
picketers	0.048273
))
(autobahn (desc 2726.51) (sims
superhighway	0.129883
freeway	0.129293
interstate	0.121677
interstates	0.107751
"Interstate @@@"	0.100057
"state highway"	0.093485
"New Jersey Turnpike"	0.0910232
turnpike	0.085427
"Route @"	0.0790282
Chancellor-elect	0.0789637
"Interstate @"	0.077042
DAX	0.0740599
"Axel Schulz"	0.073139
"Route @@"	0.0722389
"Interstate @@"	0.071757
I-@@	0.0705899
"rail line"	0.064444
crosswalk	0.0642948
motorway	0.0632758
expressway	0.0566018
"main road"	0.0544904
Bund	0.0536758
roadway	0.0535101
"water pipe"	0.0534943
"Martin Schmitt"	0.0532737
"Brandenburg Gate"	0.0530819
Thruway	0.0518617
straightaway	0.0507911
"work camp"	0.0499282
"Siemens AG"	0.0499204
"Volkswagen AG"	0.0493736
joblessness	0.0493685
"Highway @@@"	0.0493208
E-ZPass	0.0493141
"coronary artery"	0.0487099
"Dresdner Bank"	0.0479554
"sea lane"	0.0474963
manhole	0.0472624
"Klaus Kinkel"	0.0464599
"Highway @@"	0.0462042
carburetor	0.0460442
"Heike Drechsler"	0.045857
"Ralf Schumacher"	0.044976
blacktop	0.0448093
sanatorium	0.0446092
"Bayer Leverkusen"	0.0445546
"railroad track"	0.0445129
USAir	0.0444057
autopilot	0.044128
"ring road"	0.0441068
"Joschka Fischer"	0.043679
"Mannesmann AG"	0.0436034
m.p.h	0.0432877
"Hilde Gerg"	0.0429463
CRC	0.0428001
Champs-Elysees	0.042627
"Route @@@"	0.04229
Parkway	0.0419261
"Bay Bridge"	0.0418111
"water main"	0.041786
"cash crunch"	0.0413553
"Gunda Niemann-Stirnemann"	0.0412183
snowplow	0.0410893
))
(autobiography (desc 26263) (sims
memoir	0.216086
biography	0.154889
diary	0.130655
novel	0.128513
book	0.119557
essay	0.111549
cookbook	0.104584
nonfiction	0.103592
"short story"	0.100653
poem	0.0981273
fiction	0.0921878
documentary	0.0888037
article	0.086018
"magazine article"	0.0858746
tome	0.0853627
"best seller"	0.0845364
novella	0.0825358
tale	0.0808027
story	0.080214
transcript	0.0789184
journal	0.0785102
manuscript	0.0775262
Anthology	0.0763797
text	0.0739278
poetry	0.0738109
prose	0.0729884
"newspaper article"	0.0723343
Screenplay	0.0721502
"life story"	0.0715982
pamphlet	0.0707087
narrative	0.0703254
album	0.0693299
edition	0.0691044
booklet	0.0689987
travelogue	0.0688092
Encyclopedia	0.068778
textbook	0.0684539
dictionary	0.0682608
editorial	0.0679684
commentary	0.0679216
literature	0.0676602
paperback	0.0673555
letter	0.0672705
collection	0.0671242
document	0.067068
handbook	0.0670307
Bible	0.0664959
trilogy	0.0656571
Song	0.065311
"newspaper column"	0.0652557
Koran	0.0648002
script	0.0647905
manual	0.063228
portrait	0.0625808
correspondence	0.0610716
treatise	0.0607679
writing	0.060683
memo	0.0597935
reminiscence	0.0597134
manifesto	0.0596276
photograph	0.0595064
sequel	0.0593759
paper	0.0592983
translation	0.0589112
"literary work"	0.0586899
obituary	0.058659
speech	0.0584364
"adventure story"	0.0583184
excerpt	0.0582412
drama	0.0580733
catalog	0.0578883
Ulysses	0.0577216
confession	0.0574094
account	0.0570659
column	0.0568156
sketch	0.0565044
guidebook	0.056371
thriller	0.0561975
chronicle	0.0560631
newsletter	0.055502
profile	0.0547992
Recording	0.0545387
bestseller	0.0543835
"reference book"	0.0543011
"picture book"	0.0542498
Scripture	0.0540892
testimony	0.0540079
Saga	0.0538842
"white paper"	0.0538305
summary	0.0536952
opus	0.0536428
preface	0.0535469
"reference work"	0.0527241
description	0.0526971
yearbook	0.0526945
cartoon	0.0524617
affidavit	0.0523613
sermon	0.0520818
chapter	0.0517796
monograph	0.0515729
satire	0.0508027
classic	0.0507023
musical	0.0506107
"love story"	0.0505576
publication	0.0504698
"comic book"	0.0502766
epic	0.0502655
verse	0.0499289
compilation	0.0497524
"Harry Potter"	0.0497309
"inaugural address"	0.0490388
meditation	0.0489343
masterpiece	0.048737
"feature film"	0.0483607
"Civil Action"	0.0483296
lyric	0.0482788
recollection	0.0482136
"comic strip"	0.0480198
libretto	0.0479834
adventure	0.0479357
photo	0.0479078
brochure	0.0478963
videotape	0.047829
polemic	0.0478279
video	0.04781
mystery	0.047781
"New Testament"	0.0473845
myth	0.0471701
almanac	0.0468181
"open letter"	0.046671
deposition	0.0463522
analysis	0.0463288
thesis	0.0462331
comedy	0.0458642
adaptation	0.045566
opera	0.0453542
opinion	0.0450248
periodical	0.0449815
Journalism	0.0445145
drawing	0.0444216
prospectus	0.0443262
AD	0.0441899
"television show"	0.0441286
"news story"	0.0438448
painting	0.0438418
memorandum	0.0438374
fantasy	0.0436898
directory	0.0436712
advertisement	0.0435677
"soap opera"	0.0435057
"love letter"	0.0434971
"TV show"	0.0434075
fable	0.0433139
"news release"	0.0432881
beloved	0.0428889
episode	0.0425718
paragraph	0.0425488
"Christmas carol"	0.0424732
anecdote	0.0420987
"TV guide"	0.0419937
CD	0.0418857
"documentary film"	0.0416382
bulletin	0.0415878
Compendium	0.041516
Invention	0.0414963
scrapbook	0.0412107
Lolita	0.0410292
tabloid	0.0409682
"science fiction"	0.0406455
catalogue	0.0404476
miniseries	0.0402418
conversation	0.0400544
Atlas	0.0400185
))
(autocracy (desc 1827.58) (sims
despotism	0.115527
apparatchiks	0.0861259
"inferiority complex"	0.0841818
authoritarianism	0.082909
dictatorship	0.0827544
tyranny	0.072633
misrule	0.070218
totalitarianism	0.067905
relativism	0.0657192
"power structure"	0.0631538
sectarianism	0.062107
putsch	0.0614482
oppressor	0.059388
oligarchy	0.0591589
derriere	0.057111
anarchy	0.0567649
deafness	0.0565772
subjugation	0.0563176
imperialist	0.056117
oversimplification	0.0548025
oppression	0.0546613
"party boss"	0.0543245
"ruling class"	0.0539937
accoutrement	0.0533288
proletariat	0.0529646
colonialism	0.0518162
Rongen	0.0517837
coercion	0.0517477
enmity	0.0510077
dispersion	0.0506746
"Francisco Franco"	0.0506393
Truism	0.0500226
censorship	0.0494789
"Kai Tak Airport"	0.0493163
"hunting ground"	0.0491956
"Idi Amin"	0.0491171
plagiarism	0.0489234
antagonism	0.0486962
INTERFET	0.0486479
archenemy	0.0485411
"Andean Community"	0.0483801
"raw talent"	0.0483187
aristocracy	0.0482451
indoctrination	0.0482359
overlord	0.0476323
biplane	0.0475338
isolationism	0.0474429
clunker	0.0471775
franchisee	0.0471348
intolerance	0.0470644
inferiority	0.0470642
radicalism	0.0469941
hegemony	0.0463664
"voting system"	0.0461791
"domed stadium"	0.0457804
orthodoxy	0.0455937
aberration	0.0454101
axiom	0.0451117
match-ups	0.0450665
autocrat	0.0448463
"Glenn Hoddle"	0.0445619
"Sani Abacha"	0.0444235
militancy	0.0443651
shipbuilder	0.0441273
"police state"	0.0439959
puritan	0.0438781
granary	0.0438593
Indiscipline	0.0437965
automaton	0.0435426
divisiveness	0.0434283
secularism	0.0433615
"white elephant"	0.0432312
inquisition	0.0430981
"pricing system"	0.0430082
banditry	0.0429548
"iron curtain"	0.0429546
"extension cord"	0.0426728
lawlessness	0.0425932
livery	0.0425631
"written language"	0.0425326
"Western European Union"	0.0425002
demagoguery	0.0424451
machismo	0.0424255
"window frame"	0.042387
disharmony	0.0423528
"office staff"	0.0421865
"air filter"	0.0421736
imperialism	0.042077
afterburner	0.0420547
"white supremacy"	0.0419628
"Dave Brown"	0.0419399
"electric current"	0.0415877
privation	0.0415677
"summer house"	0.0414831
"futures exchange"	0.0413687
zloty	0.0413462
annihilation	0.0410803
jeremiad	0.0409783
"shareholder value"	0.0409386
malice	0.040935
brinksmanship	0.0408688
"steam locomotive"	0.0408067
spirits	0.0407198
impoverishment	0.0406179
"mainframe computer"	0.0405641
free-for-all	0.0405282
animus	0.0402709
minibuses	0.0402048
"East Berlin"	0.0401314
protectorate	0.0401251
criminality	0.0401179
despot	0.0401006
"political movement"	0.0400592
"living thing"	0.0400339
))
(autocrat (desc 3685.31) (sims
Bhattarai	0.123512
dictator	0.0990054
despot	0.0844733
ex-president	0.0825257
strongman	0.0749827
Yadav	0.073997
warhorse	0.0727666
apparatchiks	0.0718244
"eye doctor"	0.0712648
stuntman	0.06984
"altar boy"	0.069594
tyrant	0.0689141
gadfly	0.0673402
Vogts	0.0669936
abbot	0.0666875
"Di Canio"	0.0658415
Bucaram	0.0657669
Kurd	0.0649115
"big leaguer"	0.064166
segregationist	0.0638337
Ribbeck	0.0637825
buffoon	0.0633397
afterburner	0.0629052
"black person"	0.0623082
"Reagan Democrats"	0.0615081
newspaperman	0.0608182
"union representative"	0.0603678
"Tony Coelho"	0.0598362
"New Democrats"	0.0595945
Gowda	0.0595179
weatherman	0.0591531
"Ruud Gullit"	0.0590661
Zeroual	0.0589611
"Rhodes Scholar"	0.0581843
"partner in crime"	0.0580687
Suharto	0.0578676
underling	0.0578586
assemblyman	0.0578561
"B.J Habibie"	0.0576887
"farm boy"	0.0571908
"volleyball player"	0.0571756
"Lou Dobbs"	0.0570479
ex-convict	0.0570422
taskmaster	0.0568445
Spyridon	0.0567558
perjurer	0.0566865
clunker	0.0566693
technocrat	0.0565055
clergyman	0.0563078
"Bob Bullock"	0.0560468
alderman	0.0559576
wrongdoer	0.055442
interloper	0.0553874
"Andreas Papandreou"	0.0553198
Catacosinos	0.0552044
Thurmond	0.0551866
"state senator"	0.0551569
"war criminal"	0.0550173
"baseball coach"	0.0548639
"child molester"	0.0546413
"Krishna Prasad Bhattarai"	0.0545964
"President Lee Teng-hui"	0.0544796
"police captain"	0.0539792
overachiever	0.0539664
"important person"	0.0539236
Dodik	0.053882
Mukora	0.0538459
statesman	0.0538453
punchline	0.0536643
crony	0.0536083
"Jehovah's Witness"	0.0536073
whistleblower	0.0536047
womanizer	0.0534624
backbencher	0.0532875
Atlantan	0.0531699
Rapist	0.0529538
"Dave Cowens"	0.0528818
"Black Panther"	0.0528797
"traffic cop"	0.0527147
Haskins	0.0526222
Koirala	0.0525854
internationalist	0.0525782
"draft dodger"	0.0525046
sworn-in	0.0523923
"naval officer"	0.0522689
"chief of state"	0.051912
TORTURER	0.0517947
Coia	0.0515694
horseman	0.0515435
transnationals	0.0512909
"hockey player"	0.0512295
"foster child"	0.0511473
Chevenement	0.051094
Aristide	0.0509057
hippie	0.0508918
Schaeuble	0.0508461
seamstress	0.0508393
rascal	0.0507427
experimenter	0.0506045
pragmatist	0.0505999
hypocrite	0.0504337
"NBA All-Star"	0.0504266
patrolman	0.0504147
protestor	0.0503713
curmudgeon	0.0503563
Quackenbush	0.0503377
Mahuad	0.0503065
"Croatian Democratic Union"	0.0500752
"Julio Cesar Chavez"	0.0500254
"English teacher"	0.0499634
Warshaw	0.0499167
bullfight	0.0497216
baby-boomers	0.0496852
AWOL	0.0496712
Irishman	0.0495205
vaudevillian	0.0494669
"school principal"	0.0493978
sociopath	0.0493913
gunslinger	0.0493373
"eagle scout"	0.0492313
madam	0.0492002
illustrator	0.0490645
"Bora Milutinovic"	0.0489618
"aerospace engineer"	0.048939
strongmen	0.048886
"Sepp Blatter"	0.0486721
claimer	0.048578
raconteur	0.0485401
"Frank Joklik"	0.0485066
Symington	0.0485013
"Virtue Party"	0.0484909
paraplegic	0.0484777
expedient	0.048453
"Darrell Green"	0.048188
trespasser	0.0480719
philanthropist	0.0480429
heretic	0.0479604
Coelho	0.047921
fascist	0.0478967
dilettante	0.0478472
"professional golfer"	0.0478143
"Carmen Policy"	0.0477545
Soeharto	0.0477264
classicist	0.0476868
Meciar	0.0476118
watchman	0.047444
"math teacher"	0.0474203
Bolger	0.0474096
pro-choice	0.0474037
nunnery	0.0473759
Duvalier	0.0473559
"Michel Camdessus"	0.0473125
"Mobutu Sese Seko"	0.0472951
first-rounder	0.0472402
Atler	0.0471996
blinder	0.0471608
kingpin	0.0470068
"Mohamed Siad Barre"	0.0469822
Verney	0.0469312
monarch	0.046859
"Yitzhak Mordechai"	0.0468392
"parlor game"	0.046783
Brundtland	0.0467572
innkeeper	0.0467385
capo	0.0466981
isolationist	0.0466764
Wetherell	0.0466738
ideologue	0.0466672
Marxist	0.046574
interlocutor	0.0464436
traitor	0.0464023
"press agent"	0.046401
seminarian	0.0463172
perfectionist	0.0462953
outdoorsman	0.0462732
"Robert E. Rubin"	0.0462716
fencer	0.0461306
conqueror	0.0461014
stripper	0.046086
Northerner	0.0460852
bloke	0.0460153
populist	0.0460146
"pass catcher"	0.0459448
"Allied Pilots Association"	0.0459182
trapper	0.0459111
demagogue	0.0458691
oppressor	0.0457967
bootlegger	0.0456601
courtesan	0.045565
"Ian Wright"	0.0455477
"Candlestick Park"	0.0454928
monopolist	0.0454694
Aggie	0.0454532
Takeshita	0.0454493
"white knight"	0.0453826
bodybuilder	0.0453118
"Juan Antonio Samaranch"	0.0453069
Lileikis	0.0452931
Lazarenko	0.0452733
Gargan	0.045148
))
(Autodesk (desc 1103.9) (sims
PEOPLESOFT	0.17522
Weyerhaeuser	0.163703
Broadcom	0.162883
"Computer Associates"	0.155842
Novell	0.152304
Seagate	0.149964
Symantec	0.149778
Emulex	0.146878
Gilead	0.146758
Medtronic	0.138571
"Adobe Systems"	0.137093
RJR	0.13471
Corel	0.133097
XYLAN	0.13159
Hasbro	0.130086
Cabletron	0.129251
"Network Associates"	0.127665
MACROMEDIA	0.12681
Unisys	0.12619
McKesson	0.124525
Broderbund	0.124354
Sunbeam	0.124299
Nabisco	0.123461
WPP	0.123109
NTL	0.122921
Alcoa	0.122542
"International Business Machines Corp."	0.12091
TYCO	0.120703
"Learning Co."	0.120397
Bestfoods	0.119391
ALZA	0.118285
"Learning Company"	0.118143
AMR	0.118098
AlliedSignal	0.117876
"Boston Scientific"	0.117724
Asda	0.117589
"Phelps Dodge"	0.11622
"Abbott Laboratories"	0.115558
Roche	0.114936
Georgia-Pacific	0.114753
NORTHROP	0.114426
"Sara Lee"	0.114351
"JDS Uniphase"	0.113438
"P&AMP;G"	0.113191
TRW	0.112255
Clorox	0.111142
Agilent	0.110681
"HBO &AMP; Co."	0.109871
Micron	0.109172
Compaq	0.108614
"Delphi Automotive Systems"	0.108515
Cisco	0.108291
TELLABS	0.10785
"Legend Group"	0.107459
Mattel	0.107023
Nortel	0.106772
Starwood	0.106322
SGI	0.105239
Checkfree	0.104141
Petrofina	0.104125
Raytheon	0.103785
"Southern Co."	0.10364
AutoNation	0.103339
NatWest	0.103155
Kellogg	0.102873
"Advanced Micro"	0.102845
Intuit	0.10262
Transmeta	0.102449
Iomega	0.102353
Alcatel	0.101754
"Allied Signal"	0.10135
ENTERGY	0.100746
"Lucent Technologies Inc."	0.100083
E-LOAN	0.100051
COLTEC	0.100015
"Dell Computer Corp."	0.0998299
Frito-Lay	0.0996446
Genzyme	0.0990651
"National Grid"	0.0989929
Healtheon	0.0989885
Stratus	0.0989873
Akamai	0.0983081
"R.J Reynolds"	0.097742
Chiron	0.0975815
AstraZeneca	0.0975211
ACB	0.0973854
ExciteAtHome	0.0972506
Norwest	0.0968754
Gillette	0.0966563
"Mattel Inc."	0.0964052
EMC	0.096399
"Red Hat"	0.095719
"Waste Management"	0.0953163
Inktomi	0.0950507
Goodrich	0.0946297
"Hongkong Telecom"	0.0938955
RAMBUS	0.0928134
"Cisco Systems Inc."	0.0923103
"Berkshire Hathaway"	0.0922513
Qualcomm	0.0922267
Berkshire	0.0922069
oracle	0.0921959
"Ask Jeeves"	0.0918703
Unilever	0.0918105
Aegon	0.0914729
Warner-Lambert	0.0914343
"Bank of Scotland"	0.0913832
"Motorola Inc."	0.0913741
"Whole Foods"	0.0908281
"Coca-Cola Co."	0.090794
Olivetti	0.0906678
Vitesse	0.0905939
GEC	0.0904941
Xerox	0.0903825
Albertson's	0.0902175
"Johnson &AMP; Johnson"	0.090137
"Silicon Graphics"	0.0898565
Litton	0.089853
Deutsche	0.0898373
RealNetworks	0.0897951
IDT	0.0897069
Hewlett	0.0896749
"Rite Aid"	0.0896524
GANNETT	0.0893019
iXL	0.0892648
Ciena	0.0890911
Aetna	0.0890341
"Toys R Us"	0.0886222
"Times Mirror"	0.0886172
AHP	0.0886092
"Hughes Electronics"	0.0882241
"RJR Nabisco"	0.0881892
UAL	0.0881241
Heinz	0.087821
NiSource	0.0877359
"Texas Instruments"	0.0876081
BofA	0.087323
Incyte	0.0871115
"Thermo Electron"	0.086681
UAM	0.0863195
Lucasfilm	0.0862003
"Applied Materials"	0.085972
"Philip Morris"	0.0859656
SunTrust	0.0856825
"EMC Corp."	0.0854763
Toshiba	0.0854443
Equifax	0.0854143
"Atlantic Richfield"	0.0853322
WELLPOINT	0.0849464
Penney	0.0849395
Daimler-Benz	0.0845917
Monsanto	0.0843734
"Compaq Computer"	0.0841088
"Newport News"	0.0838637
Honeywell	0.0834932
ICI	0.0834626
Delphi	0.0833915
"First Union"	0.083242
BCE	0.0831934
Reel.com	0.0828127
CompUSA	0.0827994
"Bausch &AMP; Lomb"	0.0827877
AIG	0.0827824
"Symantec Corp."	0.0827024
MiniMed	0.0826994
DEP	0.0826733
SFX	0.0826207
Pairgain	0.0824742
"Tribune Co."	0.0823818
Pfizer	0.0822897
Safeway	0.0819229
adobe	0.081808
Informix	0.0817106
"Compaq Computer Corp."	0.0815977
SkyTel	0.0807997
ATHOME	0.0807247
LVMH	0.0806948
Cendant	0.0806305
Pepsico	0.0804554
Salon.com	0.0803813
"T Corp."	0.0802218
Cathay	0.0801408
Omnicom	0.0799808
CSX	0.0799704
Ericsson	0.0798777
Electrolux	0.0798508
REIT	0.0797211
Ansett	0.0796763
"Office Depot"	0.0796395
ARCO	0.0795877
Motorola	0.0795168
Scientific-Atlanta	0.0793689
"Cable &AMP; Wireless"	0.0793537
SmithKline	0.0791636
Schering-Plough	0.0790463
CMGI	0.0785923
"Philip Morris Cos."	0.078556
Tandy	0.0785083
"Circuit City"	0.0783349
Goodyear	0.0783292
))
(autograph (desc 23408.5) (sims
Hug	0.0821203
memorabilia	0.078704
"baseball card"	0.0770978
signature	0.071043
souvenir	0.0709552
handshake	0.0673015
memento	0.0627151
keepsake	0.0626844
leniency	0.0618084
high-fives	0.0616351
photograph	0.061138
handout	0.056698
photo	0.0559831
postcard	0.0552533
"newspaper clipping"	0.0541674
refund	0.0531847
ticket	0.0530914
copy	0.0525701
jersey	0.0523333
card	0.051684
drawing	0.0515575
"trading card"	0.0513931
diary	0.0511966
manuscript	0.0511503
"historical document"	0.0509352
artwork	0.0506341
forgiveness	0.0503583
artifact	0.0494826
trophy	0.0488735
recipe	0.0483477
stamp	0.0483395
poster	0.0482667
advice	0.0475877
sketch	0.0472209
video	0.0469139
ribbing	0.0466497
toy	0.0460833
"day off"	0.0460331
painting	0.0456038
asylum	0.0455749
feedback	0.0454873
wink	0.0452226
prayer	0.0451646
"small talk"	0.0449108
videotape	0.0448275
"application form"	0.0447774
"standing ovation"	0.0447111
"birth certificate"	0.0446304
"Beanie Babies"	0.0441402
"phone call"	0.044127
"teddy bear"	0.0439686
doll	0.0439632
sticker	0.0437727
identification	0.0436381
merchandise	0.0434743
endorsement	0.0433901
poem	0.0431699
invoice	0.0429999
candle	0.0429939
lesson	0.0423171
trivia	0.042147
clip	0.0417677
"driver's license"	0.0417418
diploma	0.0416247
antique	0.0415327
input	0.0414412
certificate	0.0413712
correspondence	0.0410259
T-shirt	0.0407963
scrapbook	0.0407902
"Christmas card"	0.0405269
Coin	0.0403924
applause	0.0402143
))
(automaker (desc 25546.7) (sims
carmaker	0.350863
"auto maker"	0.308365
"car maker"	0.282746
"car manufacturer"	0.202671
automakers	0.184045
"auto company"	0.168211
DaimlerChrysler	0.136477
steelmaker	0.130877
GM	0.129645
"Ford Motor Co."	0.129496
"General Motors Corp."	0.126008
"life insurer"	0.123671
shipbuilder	0.116636
Nissan	0.115911
conglomerate	0.112808
"Nissan Motor Co."	0.112696
manufacturer	0.110704
Renault	0.110096
maker	0.109116
airline	0.107555
toymaker	0.106068
Volvo	0.102985
carmakers	0.1025
"telephone company"	0.102497
"General Motors"	0.102155
"phone company"	0.101842
Ford	0.101599
carrier	0.101115
Volkswagen	0.100615
"auto manufacturer"	0.1
insurer	0.0998895
Chrysler	0.099446
retailer	0.0986535
"Daimlerchrysler AG"	0.0986388
"drug maker"	0.0966914
BMW	0.096257
"defense contractor"	0.0960718
Toyota	0.0959023
"software maker"	0.0954064
giant	0.0951655
"Boeing Co."	0.0950447
"tire maker"	0.0938141
Hyundai	0.0931839
"electronics company"	0.0930072
brokerage	0.0922123
"toy retailer"	0.0920456
firm	0.0919379
Mazda	0.0903634
bank	0.0902595
corporation	0.0898978
"oil producer"	0.0898841
"Deutsche Telekom"	0.0895535
"Hyundai Group"	0.0890076
"insurance company"	0.0889604
issuer	0.0885473
"Volkswagen AG"	0.0884305
Mitsubishi	0.0875035
"cable operator"	0.0873141
"banking company"	0.0872652
Daewoo	0.0869909
"Bell Atlantic"	0.0860458
Compaq	0.0857528
"mining company"	0.0856747
"Time Warner"	0.0844582
"American Home Products"	0.0842398
Boeing	0.0840847
"power company"	0.0840001
Mannesmann	0.0838691
"Deutsche Bank"	0.083746
bottler	0.0835124
"commercial bank"	0.0825296
Aetna	0.0821021
VW	0.0811209
"finance company"	0.0810931
"brokerage firm"	0.0805531
Fiat	0.0803011
"brokerage house"	0.0789004
supplier	0.0787614
utility	0.0781219
Viacom	0.0780188
"holding company"	0.0778358
Raytheon	0.0776706
"American Home"	0.0774209
"department store chain"	0.0767259
Kodak	0.0766681
"Chrysler Corp."	0.0766674
"bank holding company"	0.0764808
"financial institution"	0.0764507
Honda	0.0758004
Motorola	0.0756261
brewery	0.0756015
"Telecom Italia"	0.0755572
"BP Amoco"	0.0753652
exporter	0.0752109
"food company"	0.075054
"GTE Corp."	0.0747866
"shipping company"	0.07467
"toy maker"	0.0744418
subsidiary	0.0743741
Vodafone	0.0743484
"Walt Disney Co."	0.0739521
Monsanto	0.0738096
BankAmerica	0.0735765
"News Corp."	0.0733769
WorldCom	0.0731771
railroad	0.072882
MCI	0.0727823
UAW	0.0726638
drugmaker	0.0726216
"central bank"	0.0726069
"semiconductor maker"	0.0724993
"Philippine Airlines"	0.0720151
Siemens	0.0718901
Unilever	0.0716538
"Coca-Cola Co."	0.071584
"futures exchange"	0.0713621
"Toyota Motor Corp."	0.0712093
Intel	0.0710554
Lucent	0.0709873
"Philip Morris"	0.0709119
Vivendi	0.0707261
Mattel	0.0706182
importer	0.070499
"MCI WorldCom"	0.070423
"Microsoft Corp."	0.0702968
IBM	0.070234
"P&AMP;G"	0.0701705
"Ford Motor"	0.070061
"steel company"	0.0700361
Delphi	0.0699001
"Sprint Corp."	0.0698398
operator	0.0697594
Saab	0.06973
BellSouth	0.0695179
Toysmart.com	0.0694933
distributor	0.0693969
Qwest	0.0693759
"U S West"	0.0693454
"RJR Nabisco"	0.0691146
Pfizer	0.0688257
"Daewoo Group"	0.0685624
Scania	0.0685033
provider	0.0684516
Dell	0.0684359
"Lockheed Martin"	0.0682281
"United Parcel Service"	0.0682004
"trading partner"	0.0681777
refiner	0.0681473
"America West"	0.0680544
"France Telecom"	0.0677093
PLDT	0.0674525
Microsoft	0.0672261
"Mitsubishi Motors"	0.0671726
"Learning Co."	0.0670592
"retail chain"	0.0669591
Cisco	0.0669069
Lockheed	0.0664439
NTT	0.0664419
Isuzu	0.0663968
NEC	0.0663377
chain	0.0663352
coke	0.0662584
producer	0.0662383
chipmaker	0.0662207
consortium	0.0662199
EarthLink	0.065949
Daimler-Benz	0.0657507
"accounting firm"	0.0656241
SBC	0.0656013
Genentech	0.0654832
Warner-Lambert	0.0653648
lender	0.0653415
RJR	0.0653263
"McDonnell Douglas"	0.0650668
Nortel	0.0650202
Mobil	0.0649901
Ge	0.0648275
"General Electric Co."	0.0647675
employer	0.0646114
AMR	0.0645963
"British Aerospace"	0.0645826
"Monsanto Co."	0.0645367
auto	0.064486
Exxon	0.0643308
Bertelsmann	0.0639664
"school district"	0.0638869
Coca-Cola	0.0638187
Lycos	0.0638059
Georgia-Pacific	0.0637392
Samsung	0.0636893
"AMR Corp."	0.0636138
Bayer	0.0635669
GTE	0.0635477
"health maintenance organization"	0.0635359
"Justice Ministry"	0.0634924
LVMH	0.0632847
"joint venture"	0.0631445
Seagram	0.0629835
"Honda Motor Co."	0.0629057
bookseller	0.0625381
))
(automakers (desc 24640.6) (sims
"auto maker"	0.225201
carmakers	0.186186
automaker	0.184045
"car maker"	0.162261
manufacturer	0.159296
"Ford Motor Co."	0.145465
insurer	0.143821
retailer	0.133075
steelmaker	0.1328
"auto manufacturer"	0.132003
GM	0.130012
airline	0.129907
"car manufacturer"	0.128586
corporation	0.127648
"General Motors Corp."	0.127078
"auto company"	0.126157
"financial institution"	0.125084
carmaker	0.123403
maker	0.12337
company	0.121304
DaimlerChrysler	0.11832
refiner	0.11795
exporter	0.115933
"insurance company"	0.114742
"commercial bank"	0.114469
"General Motors"	0.114121
firm	0.113205
bottlers	0.112506
"phone company"	0.109373
"Toyota Motor Corp."	0.109018
"drug maker"	0.108836
bank	0.108222
Ford	0.106517
Volkswagen	0.106514
multinationals	0.106239
Chrysler	0.105895
lender	0.104443
carrier	0.103566
investor	0.102992
shipbuilder	0.102965
importer	0.102903
grower	0.102735
supplier	0.102297
Toyota	0.102186
developer	0.100861
provider	0.100762
employer	0.100555
"brokerage firm"	0.100282
"cable operator"	0.0997744
utility	0.0993182
Nissan	0.0992992
"mining company"	0.0980981
"electronics company"	0.0973895
operator	0.0965971
advertiser	0.0951815
"oil producer"	0.0938986
Boeing	0.0937857
"steel company"	0.0935765
consumer	0.0930552
regulator	0.0920391
shipper	0.092021
"brokerage house"	0.0918318
"Chrysler Corp."	0.0917665
wholesaler	0.0911365
giant	0.0909744
"defense contractor"	0.0903215
businessmen	0.0902684
brokerage	0.0900536
"shipping company"	0.0898805
"telephone company"	0.0898392
Mitsubishi	0.0896932
Hyundai	0.0894862
"semiconductor maker"	0.0892062
dealer	0.0892
IBM	0.0891334
"health care provider"	0.0886632
"insurance firm"	0.0882849
producer	0.0882036
trader	0.0881989
marketers	0.0881096
Honda	0.0875253
"life insurer"	0.0873692
BMW	0.0870789
"food company"	0.0870212
Compaq	0.0864041
Daewoo	0.0863524
distributor	0.0862997
Banks	0.0861888
buyer	0.0861123
industry	0.0860119
competitor	0.0859997
"central bank"	0.0859337
"software maker"	0.0856281
Intel	0.085575
creditor	0.08543
farmer	0.0850392
issuers	0.0848939
HMO	0.0847632
contractor	0.0844553
conglomerate	0.0839988
Renault	0.0835019
Microsoft	0.0833725
ISPs	0.0831416
"local government"	0.0829404
enterprise	0.0828844
"business community"	0.082481
broker	0.0823093
"Daimlerchrysler AG"	0.0819523
"Bell Atlantic"	0.0817321
"school district"	0.0812978
bookseller	0.081067
UAW	0.0809467
entrepreneur	0.0809199
"business leader"	0.0808905
broadcaster	0.0807568
"market participant"	0.0806409
"trucking company"	0.0804562
Motorola	0.0802791
"political leader"	0.0801572
VW	0.0797617
Mazda	0.0796669
"labor union"	0.079568
"federal government"	0.0795095
vendor	0.0793018
"futures exchange"	0.0792366
"Volkswagen AG"	0.0789549
merchant	0.0789095
Volvo	0.0789021
builder	0.0788462
Fiat	0.0787196
"Ford Motor"	0.0787101
agency	0.0780585
lawmaker	0.0777262
drugmakers	0.0775542
customer	0.0774894
"home builder"	0.0763197
banker	0.0761686
"United Auto Workers"	0.0761463
brewery	0.0760606
environmentalist	0.0758667
publisher	0.0755212
scientist	0.0754965
union	0.0754761
"department store chain"	0.0754746
consortium	0.0754255
"Nissan Motor Co."	0.0751261
Daimler-Benz	0.0750488
"tobacco industry"	0.0750413
"finance company"	0.0747786
BellSouth	0.0747358
seller	0.0744557
"General Electric"	0.0744132
"Time Warner"	0.0743999
politician	0.074099
Airlines	0.0739501
"federal official"	0.073935
"political party"	0.0731292
railroad	0.072856
congressmen	0.0724283
filmmakers	0.0724049
Fishermen	0.0723874
"European nation"	0.072308
"Deutsche Bank"	0.0722699
"postal service"	0.0721424
"Russian bank"	0.0718015
"Hollywood studio"	0.0717962
"financial organization"	0.0717708
debtor	0.0716345
chaebol	0.071621
"accounting firm"	0.07162
subsidiary	0.07132
legislator	0.0710552
"Microsoft Corp."	0.0709668
"BP Amoco"	0.0707281
"trade union"	0.0706728
policy-makers	0.0705087
Airbus	0.0704122
Texaco	0.0703947
owner	0.0701916
"publishing house"	0.0701121
landowner	0.0701
donor	0.0698851
"power company"	0.0698827
"travel agency"	0.069779
Sony	0.0696776
"toy maker"	0.0693731
sponsor	0.0693591
Siemens	0.0693048
startup	0.0691364
Lockheed	0.0689657
Industrialist	0.068707
institution	0.0685379
"elected official"	0.0683016
rival	0.0682089
borrower	0.0682007
Monsanto	0.068081
Teamsters	0.0680702
Kodak	0.0680058
Democrat	0.0679779
"business executive"	0.067971
))
("automated teller machine" (desc 4748.31) (sims
atm	0.229619
"cash machine"	0.149786
"automatic teller machine"	0.146396
debit	0.115618
"subsidiary company"	0.0859025
sub-branches	0.0849789
beepers	0.0845133
"fax machine"	0.0843759
webcams	0.0838898
"credit bureau"	0.0754626
"bank card"	0.0734781
banking	0.0712355
"checking account"	0.0701223
CFCs	0.0699384
"wireless telephone"	0.0692842
"phone system"	0.0681606
"vending machine"	0.0676241
"slot machine"	0.0673286
"electrical device"	0.0666475
"traveler's check"	0.066281
"service station"	0.0649482
"fiber optic cable"	0.0648768
pagers	0.06472
teller	0.0646794
"cellular telephone"	0.0644824
"credit card"	0.0638441
"cellular phone"	0.0636976
"gas station"	0.0635057
"weather station"	0.0628256
pager	0.0607756
"branch office"	0.0606805
"X-ray machine"	0.0603645
"securities trading"	0.0597914
"communications satellite"	0.059788
barter	0.0596582
brokerage	0.05965
"savings and loan"	0.0596396
potty	0.0591344
"septic tank"	0.0589468
photocopier	0.0587923
Pharmacy	0.0587676
"optical fiber"	0.0580946
"trust company"	0.0580509
"shuttle bus"	0.0580484
"educational institution"	0.0579829
switchboard	0.0575285
"electronic device"	0.0572934
overdraft	0.057106
"insurance firm"	0.0570649
"retail store"	0.0569597
defibrillators	0.0567794
"power grid"	0.0567095
"phone line"	0.0566853
"traffic light"	0.056213
"phone service"	0.056104
"spy satellite"	0.0559987
gyroscope	0.0559708
"post office"	0.0558338
"money order"	0.0558118
"gasoline station"	0.0558052
"insurance agent"	0.0557276
"bank account"	0.0557013
"gambling casino"	0.0556094
"telephone line"	0.0554358
"charge card"	0.055421
stents	0.0553536
"computer network"	0.0551615
"hand-held computer"	0.0549816
air-conditioner	0.0547634
bureaus	0.0547003
"travel agency"	0.054633
"mutual fund"	0.0545713
gyro	0.0542168
ISDN	0.0541941
"cable television"	0.054064
issuers	0.0537395
"television set"	0.0536953
modem	0.0533356
"convenience store"	0.0530603
"cable system"	0.0528173
"telephone service"	0.0528085
ECN	0.0525212
"electric light"	0.052467
"laptop computer"	0.0522359
"Albanian Kosovars"	0.0520664
"dry cleaner"	0.0520009
PACs	0.051906
dealerships	0.051886
interceptor	0.051878
depositor	0.0518512
"drilling rig"	0.0518309
"caller ID"	0.0517573
"credit union"	0.0514004
"driver's license"	0.05106
WAP	0.0510017
radar	0.0510004
"drug sale"	0.0509739
drugstore	0.0508249
"power system"	0.0507345
"finance company"	0.0507085
"power plant"	0.050626
microchip	0.0505862
"electric power"	0.0505676
"power line"	0.0504983
"Kosovo Serbs"	0.050467
"Medicare HMO"	0.0503638
"life insurer"	0.0502831
"foster child"	0.0502657
"tv set"	0.0502248
"delivery service"	0.0500774
"pizza parlor"	0.0499184
"health care provider"	0.0498733
"retail operation"	0.0498355
"safety belt"	0.0496457
"hot line"	0.0495893
elevator	0.0493557
workstation	0.0493317
"work unit"	0.049294
"telephone booth"	0.0492407
E-ZPass	0.0491109
easel	0.0490592
"polling place"	0.0488252
"public transport"	0.048785
"beauty parlor"	0.0487739
"surveillance system"	0.0483138
"grocery store"	0.0480573
"Medicare HMOs"	0.0480508
watercraft	0.0480459
"Washington Mutual"	0.0480455
long-distance	0.0479116
"voting machine"	0.0479101
"computer equipment"	0.0478329
"electric company"	0.0474832
"last two digits"	0.0474332
snowmobile	0.0473898
"tape recorder"	0.0473677
GPS	0.0473103
"power unit"	0.0473057
"hair dryer"	0.047271
"communications equipment"	0.0471472
"brokerage account"	0.0471072
conditioner	0.0470186
supercomputers	0.0469673
beeper	0.0469198
polluters	0.0468998
"printing press"	0.0468661
"computer technology"	0.0467528
"petrol station"	0.0467371
"telephone system"	0.0466852
"portable computer"	0.0466654
"ultraviolet light"	0.0463796
"gas pump"	0.046238
"guided missile"	0.0462166
"brokerage house"	0.046209
IC	0.0461346
"cash register"	0.0460903
"Go Network"	0.0459002
"Social Security number"	0.0458719
"public toilet"	0.045797
"Palm VII"	0.0457276
"savings bank"	0.0456128
"gold miner"	0.0455005
walkie-talkie	0.0454117
"pension fund"	0.045291
"telephone exchange"	0.045211
"industrial enterprise"	0.0450818
incinerator	0.0450091
"fountain pen"	0.0449177
"abortion clinic"	0.0449173
"fuel cell"	0.0448913
detector	0.0447811
"electrical power"	0.0447632
"Iranian POWs"	0.0447593
"power company"	0.044655
led	0.0443839
"gasoline pump"	0.0443635
PDA	0.0441882
"data communication"	0.0441882
"communication system"	0.0441664
"filling station"	0.0441477
forwarding	0.0441254
"alarm system"	0.0441141
"water pump"	0.0440852
"Windows NT"	0.0440291
"ventilation system"	0.0440072
"CD player"	0.0439923
"electronic communication"	0.0439019
"financial organization"	0.04388
auto	0.0438191
"water system"	0.0437987
"savings account"	0.0437948
"department employee"	0.0437919
"desktop computer"	0.0437831
Telecoms	0.043633
altimeter	0.0435813
wallboard	0.0435676
"liquor store"	0.043523
"building society"	0.0435171
transmitter	0.0434968
"catalytic converter"	0.0434736
))
(automatic (desc 9867.45) (sims
"automatic transmission"	0.249171
gearbox	0.125432
V-@	0.100755
manual	0.0960067
transmission	0.0853893
engine	0.0836103
shifter	0.0819075
brake	0.0811494
"gasoline engine"	0.0786491
"air bag"	0.0776221
"alarm system"	0.0706742
sensor	0.0679282
"catalytic converter"	0.067328
air-conditioning	0.0622715
V-chip	0.0591782
steering	0.0573019
"suspension system"	0.0572565
ABS	0.0556688
scanner	0.0547175
Coupe	0.0535543
"safety feature"	0.0527088
V@	0.0525747
"control system"	0.0517217
sprinkler	0.0492278
modem	0.0490562
detector	0.0489869
infrared	0.0474775
implant	0.0474162
radar	0.0473509
wireless	0.0472597
microcomputer	0.0470933
"cruise control"	0.0457319
"steering wheel"	0.045692
axle	0.0456614
Projector	0.0454185
"sprinkler system"	0.0453905
keyboard	0.0451987
telephony	0.044746
"security system"	0.0447458
disk	0.0441726
processor	0.0441584
transmitter	0.0438812
GPS	0.0438454
"communications equipment"	0.0437676
stereo	0.0435941
"machine gun"	0.0434954
"hearing aid"	0.0433428
microprocessor	0.0433312
warranty	0.04329
"sound system"	0.0430363
"bucket seat"	0.0427261
motor	0.0426626
binocular	0.0423022
recorder	0.0421544
beepers	0.0420815
"telephone service"	0.0419574
audio	0.0414309
gadget	0.0413671
Sedan	0.0413232
"power steering"	0.0407125
GSM	0.0404924
"Windows @@"	0.0404891
headset	0.0404288
transponder	0.0403201
"optical fiber"	0.0402898
"clean slate"	0.0402705
convertible	0.0402468
))
("automatic rifle" (desc 7754.44) (sims
"submachine gun"	0.364744
"machine gun"	0.341755
rifle	0.322239
machine-guns	0.285703
revolver	0.26343
launcher	0.233862
"hand grenade"	0.230233
"rocket launcher"	0.229106
"sawed-off shotgun"	0.227657
shotgun	0.223092
pistol	0.218756
Grenade	0.208464
carbine	0.192782
machete	0.172943
silencer	0.16908
handgun	0.165141
AK-@@	0.161112
mortar	0.152774
"heavy weapon"	0.147384
ammunition	0.14454
gun	0.144056
musket	0.13428
artillery	0.130858
weapon	0.129007
machineguns	0.128177
detonator	0.126275
bayonet	0.125273
bazooka	0.12102
firearm	0.120687
knife	0.120516
bullet	0.119285
"personnel carrier"	0.115271
howitzer	0.114918
"tear gas"	0.112138
cannon	0.111358
M-@@	0.108992
Uzi	0.107469
explosive	0.10331
truncheon	0.103067
"plastic explosive"	0.10252
"pipe bomb"	0.101288
"gasoline bomb"	0.093463
baton	0.0931826
spear	0.0917195
cartridge	0.0912661
nightstick	0.0909598
rocket	0.0898544
dagger	0.089566
"baseball bat"	0.0895259
"water cannon"	0.0874586
crossbow	0.0870938
"explosive device"	0.0866228
"hunting knife"	0.083311
binocular	0.0829771
walkie-talkie	0.0827489
tank	0.08267
weaponry	0.0776333
sword	0.0765607
"bulletproof vest"	0.0740425
ax	0.0722745
"land mine"	0.0721487
dynamite	0.0721028
missile	0.0719821
"army tank"	0.0719384
flamethrower	0.0712164
sniper	0.0703581
chainsaw	0.0699779
arrow	0.0691241
slingshot	0.0666412
"air-to-air missile"	0.0665322
Tomahawk	0.0641329
torpedo	0.0637485
"booby trap"	0.0637299
"surface-to-air missile"	0.0636297
"fishing rod"	0.0629343
"chain saw"	0.0612739
mace	0.0602964
bullhorn	0.0598073
"air-to-surface missile"	0.0593287
gunfire	0.05783
goggles	0.057345
"bowling ball"	0.057025
megaphone	0.056898
backpack	0.0565879
projectile	0.0552626
"grocery bag"	0.0549758
munition	0.0548438
"military vehicle"	0.0546783
harpoon	0.0545963
canister	0.0544313
firebomb	0.0542391
casing	0.0540422
helmet	0.0536282
"ballistic missile"	0.0531634
"duffel bag"	0.0527929
holster	0.0527553
crowbar	0.0522777
axe	0.0522267
cellphone	0.0521201
"guided missile"	0.0515347
contraband	0.0515149
"mortar fire"	0.0512907
"radio set"	0.0502917
"search warrant"	0.0502761
"body armor"	0.0502653
"dead body"	0.0499557
"nuclear warhead"	0.0496779
gunshot	0.049238
"Molotov cocktail"	0.0492303
"hockey stick"	0.0492223
"beer can"	0.0482349
great-grandchildren	0.0480383
camcorder	0.0479091
cane	0.0478343
"walking stick"	0.047298
clipboard	0.0470446
ordnance	0.046942
gunboat	0.0467836
"electrical device"	0.0463892
syringe	0.0461054
landmines	0.046084
warhead	0.0459666
shovel	0.0458675
guitar	0.0458207
stopwatch	0.0445266
motorbike	0.0444283
suitcase	0.0437421
"two bags"	0.0437092
pellet	0.0434779
Magnum	0.0433886
gunship	0.0431804
hatchet	0.0429635
flashlight	0.0428163
badge	0.042803
cudgel	0.0425532
lighter	0.0425473
warplanes	0.0425124
"cluster bomb"	0.0425061
crewmembers	0.0422235
firecracker	0.0421093
"cigarette lighter"	0.0420113
parasol	0.0416793
microphone	0.0412461
heckler	0.0410226
"bullet hole"	0.0409622
hose	0.0407132
broom	0.0406827
sheaf	0.0406808
"evening bag"	0.0406261
SA-@	0.0405643
speedboat	0.0405626
arrowhead	0.0405539
Motorcycle	0.0403963
"three tons"	0.0400306
))
("automatic teller machine" (desc 2454.02) (sims
atm	0.153624
"automated teller machine"	0.146396
"fax machine"	0.10765
"cash machine"	0.0972564
"communication system"	0.0950555
"optical fiber"	0.0912455
"electronic device"	0.0875849
beepers	0.0875475
"telephone network"	0.0839572
air-conditioner	0.0834094
intranets	0.0824419
"alarm system"	0.0814957
"electronic equipment"	0.0804308
"catalytic converter"	0.0804172
"vending machine"	0.0802766
"hand-held computer"	0.0750866
agro-techniques	0.0741369
CDMA	0.0736931
sub-branches	0.0734833
"telephone system"	0.0730719
"sprinkler system"	0.0729334
workstation	0.0728418
conditioner	0.0724751
"laser printer"	0.0718092
defibrillators	0.0713895
"filling station"	0.071201
"television set"	0.0711286
"X-ray machine"	0.0710262
pagers	0.0709451
"fiber optic cable"	0.069632
"computer network"	0.0695086
stents	0.0686055
"communications equipment"	0.0680964
scanner	0.067079
mainframe	0.0659947
"polling place"	0.0658587
cellphones	0.0657687
"communications network"	0.0649446
intranet	0.06494
"household appliance"	0.0645281
printer	0.0642047
"phone system"	0.0640673
"chain store"	0.063765
"personal computer"	0.0635152
webcams	0.0632244
"traffic light"	0.0628979
"computer technology"	0.0628501
V-chip	0.0624841
"power grid"	0.0622829
"communications technology"	0.0622152
"telephone booth"	0.0619525
GSM	0.0614855
router	0.0614316
Projector	0.0611524
"computer application"	0.06055
"computer program"	0.0604193
"retail operation"	0.0602506
microchip	0.060168
"cellular telephone"	0.0601583
"gas station"	0.0601081
kiosk	0.0598386
dealerships	0.0596959
"retail store"	0.0596526
"telecommunication system"	0.0595468
"subsidiary company"	0.059501
motherboards	0.0594156
"cellular phone"	0.0593538
debit	0.0592995
"electronic mail"	0.0587967
"computer equipment"	0.0584226
"checking account"	0.0583146
stereo	0.0580854
generator	0.0580079
"phone service"	0.0579881
walkie-talkie	0.0579634
"tv set"	0.0578672
"storage device"	0.0577927
"sewing machine"	0.0574994
"telephone exchange"	0.0574429
"air-to-air missile"	0.0573917
transformer	0.0572421
"power unit"	0.0571669
Propulsid	0.0566962
hypermarket	0.0566738
"production equipment"	0.0564507
agro-technology	0.0563467
"convenience store"	0.0563349
"landing craft"	0.0561962
"home appliance"	0.0559249
"fuel cell"	0.0556898
"microwave oven"	0.055567
"memory chip"	0.055426
"control system"	0.0554016
PDA	0.055253
endoscope	0.05508
"teaching method"	0.0549674
transmitter	0.0548556
"charge card"	0.0547099
GPS	0.0545606
"shopping mall"	0.0545421
"communication network"	0.054534
"bank card"	0.0542587
ECN	0.0539499
switchboard	0.0539083
"information system"	0.0538168
drugstore	0.0537321
"telephone service"	0.0533867
birdbath	0.0526705
"color television"	0.0526141
substation	0.0525671
"brokerage account"	0.0523464
"athletic facility"	0.0522701
"flour mill"	0.0521109
spigot	0.0520291
"computer hardware"	0.0520162
"specialty store"	0.0519851
delicatessen	0.0519672
watercraft	0.0519592
"cash register"	0.0519078
"radio telescope"	0.0518151
"branch office"	0.0515563
"liquor store"	0.0514565
"data system"	0.0512842
"audio system"	0.0512395
turbogenerator	0.0510759
"communications service"	0.0509958
"air bag"	0.0509466
"Social Security number"	0.0508815
"information service"	0.0507896
Supercenters	0.0507489
escalator	0.050662
Phentermine	0.0505966
"water jug"	0.0504534
supercomputer	0.0504306
"discount store"	0.0504166
peripheral	0.0499581
"early warning system"	0.0499452
"phone line"	0.0499283
avionics	0.0499082
"traveler's check"	0.0498896
beeper	0.049742
minibuses	0.0497058
"transportation system"	0.049633
"credit bureau"	0.0495483
defibrillator	0.0495014
phonograph	0.0492523
"accounting system"	0.0492478
outhouse	0.0492136
"polling station"	0.0490514
"diesel engine"	0.0489657
"software system"	0.0488604
"Pentium III"	0.0486036
"disk drive"	0.0485677
checkbook	0.0485604
remotes	0.0485554
"telephone line"	0.0485067
furnace	0.0484972
"savings bank"	0.0481851
"dry cleaner"	0.0481249
"hearing aid"	0.0480685
"polling booth"	0.0480605
pager	0.0479949
"solar panel"	0.0479684
laptop	0.0479343
"home mortgage"	0.0479292
"nuclear power"	0.0478824
rickshaw	0.0478743
sixth-graders	0.0477781
"word processor"	0.0475232
"nuclear-powered submarine"	0.0474884
"shopping center"	0.0470795
"water filter"	0.0470624
"global positioning system"	0.0470533
"telephone set"	0.0470274
"local area network"	0.046978
autopilot	0.0468211
"calling card"	0.0467008
silo	0.0466336
potty	0.0466021
"heating system"	0.0465794
"consumer loan"	0.0465782
"trading system"	0.0465533
Intimidator	0.0465466
thermostat	0.046519
"extension cord"	0.0464622
"investment portfolio"	0.0464441
"scientific method"	0.0462453
"water line"	0.0461963
"digestive system"	0.0461787
lifeboat	0.0461696
"desktop computer"	0.0460621
"security system"	0.0460581
"telephone pole"	0.0460171
copier	0.0459535
"surveillance system"	0.0458598
"particle accelerator"	0.0457769
"sound system"	0.0457504
"sales outlet"	0.0456467
"communications satellite"	0.0455163
"contact lense"	0.0455067
))
("automatic transmission" (desc 7668.25) (sims
automatic	0.249171
gearbox	0.230881
transmission	0.13815
"power steering"	0.137325
"air bag"	0.136645
air-conditioning	0.132973
V@	0.131537
brake	0.128257
shifter	0.123904
V-@	0.12051
"cruise control"	0.109644
steering	0.10408
"steering wheel"	0.0985428
engine	0.0940834
manual	0.093589
"suspension system"	0.0895598
"CD player"	0.0773221
stereo	0.0773149
changer	0.0758561
"bucket seat"	0.0724756
ABS	0.0720495
"windshield wiper"	0.0711401
"diesel engine"	0.0707667
seating	0.0707174
wheel	0.0701016
sunroof	0.0681877
"safety feature"	0.067212
chassis	0.065961
wiper	0.0655036
DVD-ROM	0.0649775
four-cylinder	0.0641748
motor	0.0641589
"electric motor"	0.0637153
wheels	0.0631909
airbags	0.06216
V-@@	0.06213
axle	0.0621195
headlight	0.0617592
"outside mirror"	0.0612301
"gas turbine"	0.0606998
conditioning	0.0599517
S@@	0.0596477
Passat	0.0595344
wheelbase	0.0591635
"stereo system"	0.0586474
"control system"	0.0584423
horsepower	0.0582439
"shock absorber"	0.0572053
defroster	0.0569643
washer	0.05585
DeVille	0.0556189
"audio system"	0.0555482
"sound system"	0.0546818
carburetor	0.0546521
"instrument panel"	0.0535463
Coupe	0.0524657
"central heating"	0.0524329
"picture tube"	0.052413
CD-ROM	0.0522807
modem	0.0514282
"brake system"	0.0513642
upholstery	0.0512849
battery	0.0501134
processor	0.0497331
Sedan	0.0493896
diesel	0.0491732
avionics	0.0490357
"gas pedal"	0.0489462
V@@	0.0483129
fender	0.0483055
"sliding door"	0.0478709
"compact car"	0.0477964
amenity	0.047757
"security system"	0.0470705
"seat belt"	0.0470431
spoiler	0.0469578
microprocessor	0.0466023
USB	0.0465643
"front end"	0.0461055
V-@.	0.0460713
Jetta	0.0457778
"fuel cell"	0.045705
kit	0.0453328
"passenger car"	0.0452857
Pentium	0.0450823
keyboard	0.0445178
"catalytic converter"	0.044476
instrumentation	0.0442866
conditioner	0.0438687
propeller	0.0435288
motherboard	0.0429661
converter	0.0428376
refrigeration	0.0426827
windshield	0.0425441
"color television"	0.0425
subwoofer	0.0423218
"landing gear"	0.0422883
midsize	0.0422174
heater	0.042217
armrest	0.0419959
"gasoline engine"	0.0416408
headset	0.0416173
ventilation	0.0414396
transformer	0.041365
Projector	0.0412634
hardtop	0.0411147
sensor	0.041054
traction	0.0410335
graphics	0.0409594
warranty	0.0408831
"sound effect"	0.0407675
"Mac OS"	0.0406608
CD-R	0.0406351
torque	0.0405855
tuner	0.0405686
audio	0.0401978
"machine tool"	0.0400971
MS-DOS	0.040031
))
(automation (desc 8132.38) (sims
Microelectronics	0.195986
bioengineering	0.17931
engineering	0.153139
biotechnology	0.14393
"life science"	0.141619
networking	0.139224
"information technology"	0.130613
"information science"	0.128446
"fiber optics"	0.128208
electronics	0.125605
"high technology"	0.1233
avionics	0.122624
sensing	0.121552
"genetic engineering"	0.120468
mechanization	0.120034
telecommunication	0.118737
imaging	0.118687
"data processing"	0.116891
petrochemical	0.11619
multimedia	0.114746
computing	0.112885
"artificial intelligence"	0.112378
processing	0.109302
pharmaceutical	0.108639
"data communication"	0.108126
"computer technology"	0.108076
aerospace	0.107826
"specialty chemical"	0.106413
"computer science"	0.10586
metallurgy	0.105557
"medical science"	0.105506
computerization	0.104704
"nuclear energy"	0.104336
telephony	0.103356
manufacturing	0.101633
"fire control"	0.100979
"building product"	0.100529
biology	0.100384
"information system"	0.099494
"computer hardware"	0.099484
shipbuilding	0.0991621
"information service"	0.0991105
"chemical industry"	0.099006
communication	0.0982572
robotics	0.0980878
warehousing	0.0971947
machinery	0.095693
"quality control"	0.0954434
"communications technology"	0.0946208
semiconductor	0.0941292
SDH	0.0934127
"electronic warfare"	0.093183
"solar energy"	0.0923438
industrialization	0.092017
CDMA	0.0919935
"building material"	0.0917917
"consumer electronics"	0.0917238
telemedicine	0.0911273
optic	0.0909758
logistics	0.0905386
forestry	0.0895277
filtering	0.0895053
standardization	0.0893091
"computer network"	0.0888475
aviation	0.0887829
agronomy	0.0884833
e-business	0.0882269
"home appliance"	0.0878879
"communications equipment"	0.0857856
refining	0.0856862
personalization	0.0856532
machine-building	0.0835816
videophone	0.0834035
"computer application"	0.0822176
"power system"	0.0817731
efficiency	0.0816061
"household appliance"	0.0812021
productivity	0.0811229
Encryption	0.0811093
"product development"	0.0809057
software	0.0806632
"customer service"	0.0804854
consultancy	0.0803932
nanotechnology	0.0798552
Telecoms	0.0794337
informatics	0.0784293
GPS	0.0783814
diversification	0.0770596
refrigeration	0.0768692
infrastructure	0.0768391
innovation	0.0767515
BLUETOOTH	0.0764523
desalination	0.076115
"weather forecasting"	0.0760092
knowhow	0.0759596
maintenance	0.0757358
genomics	0.0752823
fingerprinting	0.0749674
navigation	0.0748686
know-how	0.0748471
hardware	0.0743859
modernization	0.0743757
urbanization	0.0743148
literacy	0.0738569
agriculture	0.0737095
mining	0.0735934
"machine tool"	0.0733066
utilization	0.0732652
banking	0.0730769
transportation	0.0727492
microchip	0.072568
appliance	0.0724955
conservancy	0.0719608
application	0.0717363
"economies of scale"	0.0714539
"computer programming"	0.0714313
commerce	0.0709694
"control system"	0.070771
irrigation	0.0706155
broadcasting	0.0703458
"traffic control"	0.0703441
"security system"	0.0702014
intranet	0.0700834
"laser printer"	0.07002
"communications service"	0.0696518
"electrical engineering"	0.0693631
petroleum	0.0693259
"tax collection"	0.0692445
diagnostics	0.0691438
forecasting	0.0690781
"night vision"	0.0689528
accounting	0.0688274
aquaculture	0.0685919
"optical fiber"	0.0685709
"communication system"	0.0682664
"test equipment"	0.0681873
"integrated circuit"	0.0680706
Filtration	0.0679527
biochemistry	0.0677748
electrification	0.0677245
expertise	0.0675874
broadband	0.067583
conservation	0.0673505
"garbage disposal"	0.067261
compression	0.0671868
integration	0.0668879
"biological science"	0.0663961
surveying	0.0662575
e-commerce	0.0661219
technique	0.0660392
audio	0.0659539
"animal husbandry"	0.065635
genetics	0.0655637
marketing	0.0654122
"e- commerce"	0.0653869
"wireless telephone"	0.0653354
CAD	0.0652987
detection	0.0652883
aeronautics	0.065079
Chemistry	0.0648263
automobile	0.0647001
mathematics	0.0646513
weaponry	0.0646331
distribution	0.0643829
workstation	0.0642624
hydropower	0.0641923
copier	0.0641646
packaging	0.0640328
"electronics industry"	0.0639253
"electronic equipment"	0.0637829
laser	0.0635176
transmission	0.0634996
"computer graphics"	0.0634381
"fuel cell"	0.0634272
purification	0.0633328
"medical instrument"	0.0633158
instrumentation	0.0633079
"weapons system"	0.0632544
"computer equipment"	0.063226
meteorology	0.0631834
"environmental science"	0.0631699
ultrasound	0.0631278
enhancement	0.0628652
recycling	0.0627932
Telecom	0.0627285
storage	0.062431
"social science"	0.0624193
medical	0.0623863
playback	0.0621388
connectivity	0.0619415
publishing	0.0619248
bookkeeping	0.0618248
consolidation	0.0618144
"telephone system"	0.0617346
transparency	0.0616436
simulation	0.0615034
"office furniture"	0.0614173
healthcare	0.0613783
"mechanical engineering"	0.0611907
"software product"	0.0607216
))
(automaton (desc 1010.17) (sims
cipher	0.0791504
"big leaguer"	0.075407
"vegetable soup"	0.0698444
lout	0.0687178
amalgamation	0.0669075
pauper	0.0668837
multimillionaires	0.0634485
gnat	0.0617566
"sitting duck"	0.060178
philistine	0.0598021
adhesion	0.059294
"electronic database"	0.0591313
nonentity	0.0588651
vermin	0.0578879
crapshoot	0.0576911
"good person"	0.057682
pinata	0.0568734
emulsion	0.0560308
filigree	0.0558998
egghead	0.0556891
antifreeze	0.0535157
"bowling ball"	0.053458
moonscape	0.0534062
market-oriented	0.0533425
"police state"	0.0530825
copout	0.0510859
double-teamed	0.0510118
"matinee idol"	0.0509778
egomaniac	0.0504126
stewardess	0.0502106
"ugly duckling"	0.0501956
"hunting ground"	0.0497635
subgenre	0.0497527
"treasure chest"	0.0497455
imposter	0.0493253
idiot	0.0489395
"entitlement program"	0.0488555
zombie	0.0485736
"time bomb"	0.0482634
"basic concept"	0.0482213
biophysics	0.0477371
imp	0.047672
fief	0.0474736
obstructionist	0.0472456
"growth industry"	0.0472072
pinup	0.0468017
crowd-pleaser	0.046785
Energizer	0.0466952
playlist	0.0465458
non-issue	0.0463077
lightbulb	0.0461777
Bostonian	0.046104
nettle	0.0460248
Centipede	0.0459707
lovefest	0.0459441
stepchild	0.0458221
"investment company"	0.0458004
"white line"	0.0457907
retread	0.0457345
lifesaver	0.0456405
monstrosity	0.0455948
"shop assistant"	0.0454701
"ghost town"	0.0454303
geezer	0.045367
ECN	0.0453176
Pasha	0.0452979
monolith	0.0452565
"yellow light"	0.0451734
consort	0.0450914
"Craig McCaw"	0.0448389
"herb garden"	0.0447394
brawler	0.0446873
preachy	0.0445391
anachronism	0.0443808
Eternity	0.044363
"entertainment center"	0.0442445
grown-up	0.044197
immunologist	0.0439965
impossibility	0.0439499
"old times"	0.043929
megastar	0.0439272
fiefdom	0.0437103
whore	0.0436541
nonstarter	0.0435976
autocracy	0.0435426
quadriplegic	0.0434887
match-ups	0.0434284
prizefighter	0.0433396
oxymoron	0.0432582
enabler	0.0432579
do-gooder	0.0429967
"writing desk"	0.0428941
celebs	0.0428698
octogenarian	0.0427629
"hot stock"	0.0427071
birthright	0.0426618
tableau	0.0426185
"parlor game"	0.0425727
heartthrob	0.0425296
"supper club"	0.0424682
"evening bag"	0.0424451
madman	0.042393
wallflower	0.0422486
"endowment fund"	0.0422375
agnostic	0.0422327
vagabond	0.0421472
shortcake	0.0421207
potentate	0.0420849
"rock climber"	0.0420502
"white elephant"	0.0414326
"legal instrument"	0.0413569
curmudgeon	0.0413099
granola	0.0412956
waif	0.0412077
superhero	0.0411615
Frenchwoman	0.0411409
detoxification	0.0409833
wonk	0.0406885
avocation	0.040615
"hot potato"	0.0405885
permanence	0.0405654
"service contract"	0.0404112
artiste	0.0402509
despot	0.0400817
airtime	0.0400726
distillation	0.0400147
))
(automobile (desc 57237) (sims
auto	0.276294
"motor vehicle"	0.258584
car	0.212495
machinery	0.204114
vehicle	0.201839
electronics	0.19799
textile	0.189582
"building material"	0.183543
petrochemical	0.182476
"household appliance"	0.181218
appliance	0.178474
Motorcycle	0.172499
semiconductor	0.167698
pharmaceutical	0.161236
metallurgy	0.160055
truck	0.158312
equipment	0.155337
"home appliance"	0.152676
machine-building	0.148835
"machine tool"	0.148822
steel	0.148797
telecommunication	0.148625
"passenger car"	0.148401
garment	0.148194
shipbuilding	0.144767
petroleum	0.143247
Sedan	0.138026
"consumer goods"	0.137859
goods	0.136186
chemical	0.135189
"consumer electronics"	0.135123
foodstuff	0.134194
tractor	0.132372
"chemical industry"	0.13174
product	0.13045
Clothing	0.130049
"tv set"	0.129152
manufacturing	0.126167
furniture	0.125584
"personal computer"	0.125566
Coal	0.125393
bicycle	0.123999
apparel	0.123233
fertilizer	0.123092
footwear	0.122276
bus	0.121153
"raw material"	0.120947
engine	0.120937
"communications equipment"	0.120808
Computer	0.12063
airplane	0.119371
aircraft	0.118292
mining	0.117879
cement	0.116315
processing	0.116105
aerospace	0.116019
"real estate"	0.115269
"electronic equipment"	0.115082
"integrated circuit"	0.115043
aviation	0.114085
"pickup truck"	0.113459
"food product"	0.113197
"washing machine"	0.113112
jewelry	0.111565
"durable goods"	0.11095
transportation	0.110822
"sports car"	0.109497
"power plant"	0.109327
agriculture	0.108191
toy	0.107671
commodity	0.107129
metal	0.106845
Microelectronics	0.10621
"diesel engine"	0.105634
cigarette	0.105616
tobacco	0.105437
cosmetic	0.105324
"spare part"	0.105299
conditioner	0.105212
fuel	0.104672
electricity	0.103885
ceramic	0.103519
machine	0.103417
"high technology"	0.103225
locomotive	0.10314
oil	0.103057
hardware	0.102694
transport	0.102546
SUVs	0.102378
gasoline	0.102359
medicine	0.10233
minivan	0.102081
air-conditioner	0.101857
"electric power"	0.101828
SUV	0.101375
food	0.100922
industry	0.10057
plastic	0.100513
van	0.100011
taxi	0.0999904
motorbike	0.0994336
firearm	0.0990527
gas	0.0984968
banking	0.0984434
generator	0.0984249
"aircraft engine"	0.0976116
refrigerator	0.0975578
software	0.0973232
beverage	0.0971253
item	0.0971046
material	0.0969288
pickup	0.0961769
energy	0.0960925
handicraft	0.095982
jeep	0.0959063
tire	0.0953865
"natural gas"	0.094751
"station wagon"	0.0946689
tourism	0.0941905
timber	0.0938307
newsprint	0.0937432
limousine	0.0936216
furnishings	0.0936153
PC	0.0934372
liquor	0.0924766
component	0.0924169
"crude oil"	0.0923945
boat	0.0920459
bioengineering	0.0919967
wagon	0.0917976
lumber	0.091188
shoe	0.0907753
rubber	0.0903879
"television set"	0.0899527
factory	0.0897375
"cellular phone"	0.0889471
"information technology"	0.0888999
mineral	0.0888425
grain	0.0886993
Livestock	0.0885253
"memory chip"	0.087988
Housing	0.0878841
plant	0.087809
train	0.0877196
"computer hardware"	0.0873431
"alcoholic beverage"	0.0872919
snowmobile	0.0870229
minivans	0.0866273
bike	0.0866011
utility	0.0863286
ship	0.0862592
battery	0.086144
construction	0.085931
sector	0.0850708
"sewing machine"	0.0849376
motor	0.0845406
chip	0.0845178
convertible	0.0844197
"fossil fuel"	0.0842489
pesticide	0.0839517
"patrol car"	0.0839351
engineering	0.083828
technology	0.0837704
enterprise	0.0836616
device	0.0831191
communication	0.0830556
phone	0.0825449
container	0.082383
plane	0.0823504
"computer equipment"	0.0823222
telephone	0.0818987
Mercedes	0.0814089
lorry	0.08102
"palm oil"	0.0802371
iron	0.0801774
"electric car"	0.0801485
merchandise	0.0800907
biotechnology	0.0799146
"color television"	0.0798527
model	0.0798156
"disk drive"	0.0797427
diesel	0.0792791
petrol	0.0788834
tanker	0.0788153
insurance	0.078719
"cellular telephone"	0.078148
railway	0.0779137
wheat	0.0778105
forestry	0.077626
weapon	0.0776088
property	0.0775144
Satellite	0.0775023
tank	0.0773773
"electric fan"	0.0773592
packaging	0.0772728
"compact disc"	0.0772288
commerce	0.0771965
"industrial enterprise"	0.0770548
gun	0.0770371
helicopter	0.0766259
))
("automobile industry" (desc 5541.47) (sims
"electronics industry"	0.182082
"chemical industry"	0.156143
"construction industry"	0.14522
"shipbuilding industry"	0.12716
"film industry"	0.124643
"insurance market"	0.114469
machine-building	0.112403
"coal industry"	0.111877
metallurgy	0.107583
manufacturing	0.104782
tourism	0.0982872
"banking industry"	0.0982671
petrochemical	0.0970418
aviation	0.0966515
agriculture	0.0963022
"securities market"	0.0945785
"animal husbandry"	0.0943571
"Multimedia Super Corridor"	0.0916536
forestry	0.0907181
"business sector"	0.0897483
mining	0.0884127
telecommunication	0.0867835
"oil industry"	0.0863943
"computer industry"	0.0862296
"steel production"	0.0858162
aerospace	0.0850651
"building material"	0.0846774
shipbuilding	0.0839431
banking	0.0828002
textile	0.0817036
"apparel industry"	0.0815796
"highway system"	0.080713
pharmaceutical	0.0804951
"housing industry"	0.0791977
"high technology"	0.0791188
electronics	0.0776449
shipbuilder	0.0772026
state-owned	0.0762925
auto	0.0761497
petroleum	0.0761348
"arms industry"	0.0752214
"retail sale"	0.0741006
"industrial enterprise"	0.0737051
"state-owned enterprises"	0.0732839
automobile	0.0724612
"car manufacturer"	0.0722944
"debt market"	0.0721673
"Special Economic Zones"	0.0719825
"housing market"	0.0715382
transportation	0.0713762
"investment climate"	0.0711383
"information technology"	0.0710763
semiconductor	0.0710751
"transportation system"	0.0708757
"insurance business"	0.0704023
"auto maker"	0.0699363
machinery	0.0695535
"real estate"	0.0693802
commerce	0.0682722
"labor market"	0.0680226
"household appliance"	0.066989
"telephone network"	0.0663344
steelmaker	0.0663193
"chain store"	0.0661238
"military capability"	0.0656877
"world economy"	0.0655539
"space program"	0.0654875
hydropower	0.0654667
"movie industry"	0.0654299
fishery	0.0646824
"mineral resource"	0.0643771
"fashion industry"	0.064334
"power grid"	0.0642545
"business activity"	0.0639291
medium-sized	0.0637246
industrialization	0.0634343
"Board of Investment"	0.0629482
"electric power"	0.0627317
"weapons system"	0.0624998
e-commerce	0.0624925
"stock exchange"	0.0624811
subsector	0.0624198
"gas company"	0.0621669
"railway system"	0.0621285
"steel company"	0.0620172
refining	0.0618025
"public security"	0.0615347
"state enterprise"	0.0614846
Bourse	0.0611457
"car maker"	0.0610673
"Sub-Saharan Africa"	0.0606947
shipping	0.0603486
"labor force"	0.0601184
"tax income"	0.0595338
retailing	0.0591932
"water project"	0.0591872
farming	0.0591509
"air travel"	0.0588418
carmakers	0.0585099
macro-economy	0.0583102
"money supply"	0.0581061
brewery	0.0579845
"life insurer"	0.0579566
"entertainment industry"	0.0579473
"family planning"	0.0579345
"tobacco industry"	0.0578783
SEZs	0.0577133
"shipping company"	0.0576244
"trade union"	0.0576139
Telecom	0.0574809
conglomerate	0.0573498
"atomic bomb"	0.0571863
"consumer demand"	0.0571629
biotechnology	0.0571551
Telecoms	0.0571276
"higher education"	0.0570136
academia	0.0569931
"postal service"	0.0568848
"industrial park"	0.056789
"insurance firm"	0.056624
"securities industry"	0.0563687
Pudong	0.0562366
processing	0.0559633
"road construction"	0.0558103
"wind power"	0.0556651
"test-tube baby"	0.0555893
bioengineering	0.0555315
"trade balance"	0.054746
GDP	0.0547129
"equity market"	0.0546475
"textile mill"	0.0545262
"computer technology"	0.0541728
GNP	0.0538927
"bond market"	0.0538122
mineral	0.0537097
retail	0.053563
"medical institution"	0.0535524
automakers	0.0533201
"currency market"	0.0532275
railway	0.0529821
aeronautics	0.0528523
appliance	0.0527641
"software product"	0.0526386
"gross domestic product"	0.0525522
"vehicle sale"	0.0525504
"banking system"	0.052536
"copper mine"	0.0525283
good-neighborly	0.0525076
"bus company"	0.0524802
"trade relation"	0.0522655
"public utility"	0.052136
"special economic zone"	0.0519206
"Pudong New Area"	0.0518815
exporter	0.0515719
"legal system"	0.0513596
"mining company"	0.051311
"trucking industry"	0.0512943
cager	0.051277
"business community"	0.0512448
fibre	0.0510619
"patrol ship"	0.0509354
"National Missile Defense"	0.0508966
"bond rating"	0.0507259
"home appliance"	0.0505175
carmaker	0.0504952
"foreign exchange market"	0.0504664
foodstuff	0.0504531
Trucking	0.0504421
utilization	0.050409
"commercial bank"	0.0503643
oilfield	0.0502737
"public works"	0.0500299
"commercial enterprise"	0.049993
cinema	0.0499859
"nuclear power"	0.0498457
REITs	0.0496992
"phone system"	0.0495505
"labor movement"	0.0495186
"food company"	0.049406
"monetary system"	0.0492641
"gross national product"	0.0492009
MSC	0.049005
"motor vehicle"	0.0489865
"tax collection"	0.0489259
"machine tool"	0.048881
"foreign direct investment"	0.0488732
"futures exchange"	0.0488251
"law enforcement"	0.0487467
"entertainment business"	0.0487141
multi-polarization	0.0486317
"particle accelerator"	0.0485665
publishing	0.0485166
"medical science"	0.0484563
"financial center"	0.0483686
"investment fund"	0.0483576
"chamber of commerce"	0.0483268
undertaking	0.0482163
"information system"	0.04817
supercomputer	0.0481324
"hydrogen bomb"	0.0481291
))
(AutoNation (desc 1587.68) (sims
RJR	0.248793
"Thermo Electron"	0.237373
Asda	0.220724
Starwood	0.207826
Tenneco	0.178534
Penney	0.175691
TYCO	0.175228
"RJR Nabisco"	0.173801
Seagate	0.16192
Georgia-Pacific	0.159457
COLTEC	0.157101
VENATOR	0.156694
McKesson	0.156509
"P&AMP;G"	0.153945
NatWest	0.150666
Honeywell	0.150512
"Stride Rite"	0.150346
Gilead	0.146883
NORTHROP	0.146862
"Niagara Mohawk"	0.145384
Aetna	0.144919
Genzyme	0.144873
Daimler	0.144587
Warnaco	0.144038
MiniMed	0.143805
ALZA	0.142954
Terra	0.142444
Cendant	0.142385
Litton	0.142128
SmithKline	0.142067
XYLAN	0.140406
Tandy	0.139556
"Rite Aid"	0.139339
IDT	0.138455
Cabletron	0.138396
"Fred Meyer"	0.138354
WPP	0.137587
Sibneft	0.136798
"National Grid"	0.136064
REVLON	0.136055
UAM	0.135827
Healtheon	0.135332
Halliburton	0.133587
NiSource	0.132986
Livent	0.130067
Priceline	0.129953
PictureTel	0.128926
HP	0.128776
TELLABS	0.128453
MACROMEDIA	0.128286
Emulex	0.128274
Weyerhaeuser	0.128207
PLDT	0.127447
Ciena	0.127288
"Pacific Century"	0.126972
"Times Mirror"	0.125379
Inktomi	0.125138
Aegon	0.125134
GPU	0.124001
Caldor	0.123673
"KCP&AMP;L"	0.122223
Sunbeam	0.122162
Vivendi	0.122144
Scientific-Atlanta	0.122043
Mannesmann	0.12204
ZIFF-DAVIS	0.121743
Marketspan	0.121402
Norwest	0.120933
Northpoint	0.120575
Transamerica	0.120406
NTL	0.120123
SGI	0.119976
Healtheon/WebMD	0.119775
Pepsico	0.119637
AIG	0.119343
Gymboree	0.119337
Seagram	0.119083
BCE	0.11861
AGL	0.118178
Danka	0.118174
Hoechst	0.117998
AstraZeneca	0.117931
Sepracor	0.116968
ENTERGY	0.116543
Checkfree	0.116248
CompUSA	0.116183
Deutsche	0.116145
Viag	0.115959
Nortel	0.115824
ARCO	0.115567
Conseco	0.115522
Compaq	0.115287
UAL	0.11507
"U.S. Trust"	0.115024
"Food Lion"	0.114793
Glaxo	0.114657
BofA	0.114567
Amway	0.114555
GEC	0.114011
Kodak	0.113177
PEOPLESOFT	0.11298
Humana	0.11287
Copley	0.112689
"Tribune Co."	0.112143
"First Union"	0.11175
Viacom	0.111719
Kroger	0.111454
sandpiper	0.11111
Gillette	0.110317
Broadcom	0.110051
AMR	0.109954
Berkshire	0.109822
"HBO &AMP; Co."	0.109564
"U S West"	0.109382
EMC	0.109329
FPL	0.107371
Chiron	0.107239
Astra	0.107109
"Global Crossing"	0.107079
CMGI	0.107019
"Bausch &AMP; Lomb"	0.106867
Corning	0.106647
Petrofina	0.106434
Williams-Sonoma	0.106027
"J&AMP;J"	0.105579
Roberds	0.10545
"News Corp."	0.105306
Genentech	0.105247
Zapata	0.105013
Agilent	0.104873
GANNETT	0.104818
Nabisco	0.104578
Webvan	0.104413
"American Home"	0.104387
Cerent	0.104054
Alcoa	0.103694
E-LOAN	0.103658
Diageo	0.10345
Autodesk	0.103339
UBS	0.103157
Novell	0.103143
Raytheon	0.10296
Mobil	0.102931
Globalstar	0.102033
Unilever	0.101785
Hasbro	0.10175
Schlumberger	0.101718
Pairgain	0.101576
SBC	0.101513
"Silicon Graphics"	0.101391
Comsat	0.101023
Vodafone	0.100977
Mattel	0.100954
ExciteAtHome	0.100896
Celera	0.100602
Staples	0.100315
VoiceStream	0.100314
WorldCom	0.100253
Asarco	0.100132
Harcourt	0.0999502
YankeeNets	0.0998334
Clorox	0.0995802
Beringer	0.0995197
"Dayton Hudson"	0.0994989
"Krispy Kreme"	0.099475
Lockheed	0.099412
Walgreens	0.0993124
HBOC	0.0992544
"State Street"	0.0992359
Echostar	0.0989449
Wada	0.0988831
Qwest	0.0984909
Bristol-Myers	0.0984585
Biogen	0.0984438
WELLPOINT	0.0984009
Dresdner	0.0983334
Fingerhut	0.0981958
"Circuit City"	0.0981899
GTE	0.098153
Telefonica	0.0981198
"De Beers"	0.0980562
Unicom	0.0977341
BankAmerica	0.0974868
Omnicom	0.0974674
Kellogg	0.0971962
"Barnes &AMP; Noble"	0.0971643
RCN	0.0971437
Fiat	0.0968762
"Y&AMP;R"	0.0966974
"BP Amoco"	0.096539
"Deutsche Telekom"	0.0964541
Bestfoods	0.0964228
Icahn	0.0962807
EarthLink	0.0961468
"Royal Bank"	0.0960316
Delphi	0.0959288
McCaw	0.0959226
Volvo	0.0958692
Maytag	0.0958121
Amgen	0.0957646
))
(autonomy (desc 50896.7) (sims
self-rule	0.291273
independence	0.202458
self-government	0.198135
self-determination	0.178336
freedom	0.131917
sovereignty	0.126634
statehood	0.119863
peace	0.112323
secession	0.110952
status	0.106766
stability	0.104985
democracy	0.102788
equality	0.100967
cease-fire	0.0977823
prosperity	0.0965413
reform	0.0955376
reunification	0.0948466
accountability	0.0942323
protection	0.0937723
demilitarization	0.0917622
"rule of law"	0.0909232
recognition	0.0906096
security	0.0882369
immunity	0.088043
homeland	0.0879124
separation	0.0878619
control	0.0874582
amnesty	0.0868691
"freedom of speech"	0.086241
unity	0.0861863
right	0.0861861
integration	0.0847039
citizenship	0.0846575
"human rights"	0.0837405
"free trade"	0.0835561
flexibility	0.0834138
cooperation	0.0831348
representation	0.0829894
solution	0.0821445
"freedom of the press"	0.0818484
ceasefire	0.081636
democratization	0.0815794
reconciliation	0.0812269
Openness	0.0811201
concession	0.0808774
Liberalization	0.0806411
dignity	0.0804326
power	0.0801319
"human right"	0.0797853
assistance	0.0795546
governance	0.0795315
Liberty	0.0794754
transparency	0.079316
funding	0.0788345
settlement	0.0773013
responsibility	0.076853
unification	0.0767812
withdrawal	0.0765908
Privacy	0.076339
access	0.0761443
"tax break"	0.0759258
"freedom of religion"	0.0749414
development	0.074922
self-reliance	0.0748656
pluralism	0.0747609
policy	0.0736291
compensation	0.0728469
exemption	0.0727592
participation	0.0726324
privilege	0.0723435
separatism	0.0719158
decentralization	0.071902
"legal status"	0.0715325
integrity	0.0708929
disarmament	0.0706503
protectorate	0.0705869
devolution	0.0704856
subsidy	0.0704733
normality	0.0704592
respect	0.0701363
guarantee	0.0700702
"legal right"	0.0697923
jurisdiction	0.0695701
principle	0.0692319
Kosovo	0.0691944
deployment	0.0691423
establishment	0.0689618
compromise	0.0688683
"tax cut"	0.068484
arrangement	0.0675473
authority	0.0675064
"property right"	0.067297
referendum	0.0671791
normalization	0.0671572
aid	0.067115
Implementation	0.0670422
membership	0.0669217
education	0.0668596
"civil liberty"	0.0668023
truce	0.0667646
asylum	0.0666518
fairness	0.0666455
"home rule"	0.066561
pullback	0.0665474
neutrality	0.0660204
leniency	0.0658675
censure	0.0658156
"wage increase"	0.0657452
"civil right"	0.0656372
self-sufficiency	0.0653845
reciprocity	0.0653821
empowerment	0.0650231
pullout	0.064981
justice	0.0649775
tolerance	0.0648679
Privatization	0.0645997
benefit	0.0645426
financing	0.0644039
constitution	0.0642696
exclusivity	0.0641828
intervention	0.0641823
"status quo"	0.0639991
incentive	0.0639614
repatriation	0.0636402
discretion	0.0635926
future	0.0633685
dialogue	0.0633038
ownership	0.0630764
agreement	0.0627643
oversight	0.0627452
license	0.062382
progress	0.062348
employment	0.062316
emancipation	0.0622245
"job security"	0.0619664
redeployment	0.0617132
"due process"	0.0616801
refugee	0.0615556
"market economy"	0.0613465
mandate	0.0613247
restoration	0.0613075
reduction	0.0613072
pardon	0.0611123
coordination	0.0609972
commitment	0.0609048
renewal	0.0605206
law	0.0604351
regulation	0.0603857
relief	0.0603024
measure	0.0601781
competence	0.0601413
territory	0.0600922
transition	0.0600791
Cessation	0.0600635
confidentiality	0.0600415
supremacy	0.0600318
coexistence	0.0599278
"right to vote"	0.0597989
liberation	0.059774
partnership	0.059612
federalism	0.0595576
election	0.059543
reparation	0.0592217
acceptance	0.0592082
"legal system"	0.0591811
legislation	0.0589305
investment	0.0589156
diversity	0.0586282
legitimacy	0.0585589
clemency	0.0584919
moratorium	0.0583955
partition	0.0581815
normalcy	0.0581207
discipline	0.0580272
identity	0.0579741
credibility	0.0579555
"civil rights"	0.0579416
solidarity	0.0578009
"pay raise"	0.057722
modernization	0.0576462
quota	0.0574798
extension	0.0574157
lifting	0.0572204
trust	0.0572012
clout	0.0570032
accord	0.0569413
prestige	0.0568148
action	0.0567901
confidence	0.0567873
resource	0.0567619
coverage	0.0567115
efficiency	0.0565874
voucher	0.0565135
leadership	0.0564297
"East Timor"	0.0563207
secularism	0.0563161
supervision	0.0562265
initiative	0.0562262
secrecy	0.0561216
cohesion	0.0561112
))
(autopilot (desc 4243.03) (sims
altimeter	0.111043
reversers	0.107729
"cruise control"	0.0912878
"landing gear"	0.0845065
"electrical system"	0.0774387
rudder	0.0759383
"circuit breaker"	0.0756273
stabilizer	0.0743374
thruster	0.0742291
undercarriage	0.0740642
"alarm system"	0.071359
"black box"	0.069903
"gas stove"	0.0683102
"fire hose"	0.0647915
ignition	0.0594233
fuselage	0.0589507
recorder	0.0584432
"horizontal stabilizer"	0.0582644
gyroscope	0.0582168
ventilator	0.0537767
heater	0.0537421
afterburner	0.052764
"coffee pot"	0.0521938
"fire alarm"	0.0513753
valve	0.0497715
spigot	0.0496712
"power system"	0.0496557
"hydraulic system"	0.0492097
transponder	0.0491223
escalator	0.0489893
"drinking fountain"	0.0489473
injector	0.0478519
"voting machine"	0.0478234
spoiler	0.0475962
"ice floe"	0.0471179
"auction block"	0.0470429
"automatic teller machine"	0.0468211
hydraulics	0.0466852
fast-track	0.0453024
Shabbat	0.0451507
"smoke alarm"	0.0450059
dialysis	0.0446206
"fuel system"	0.0443484
respirator	0.0442267
"solid ground"	0.0441748
autobahn	0.044128
propeller	0.0438539
"sprinkler system"	0.0438141
beeper	0.0438092
"traffic light"	0.0437866
E-ZPass	0.0437333
lightbulb	0.0430258
conditioner	0.0424924
navigator	0.0423453
"electric current"	0.0421148
"instrument panel"	0.0415181
turbine	0.0413774
"ventilation system"	0.0413031
"gasoline engine"	0.0410262
"flight path"	0.0407546
"power cable"	0.040454
transmitter	0.0404229
avionics	0.0403904
"air bag"	0.0403717
"control system"	0.0401966
treadmill	0.0400009
))
(autopsy (desc 14975.3) (sims
MRI	0.151159
examination	0.123862
scan	0.123645
biopsy	0.119282
audit	0.117234
"medical examination"	0.11414
"blood test"	0.11176
evaluation	0.103976
testing	0.102614
excavation	0.100544
x-ray	0.0970326
exhumation	0.094823
analysis	0.0894229
"medical exam"	0.0882857
checkup	0.0882642
inspection	0.0879973
survey	0.0825702
investigation	0.0820192
burial	0.081882
Exam	0.0815272
ultrasound	0.0804842
"medical report"	0.0788992
interrogation	0.0780106
census	0.0779282
assessment	0.077555
"Field Poll"	0.0772112
experiment	0.0756397
"field trial"	0.0726909
mammogram	0.0723292
inquest	0.0720901
"police investigation"	0.0716877
inquiry	0.0715217
appraisal	0.0701938
Toxicology	0.070077
"medical check-up"	0.0698903
identification	0.0697174
polling	0.0692901
screening	0.068671
"surgical procedure"	0.0681106
"background check"	0.0674364
"Gallup Poll"	0.0674116
retrial	0.0668388
postmortem	0.0663407
verification	0.0649241
"space walk"	0.06479
balloting	0.0627265
mammograms	0.0623589
probe	0.0623526
surgery	0.0622922
"medical record"	0.0620345
"magnetic resonance imaging"	0.0616075
"medical checkup"	0.0602853
analyses	0.0594544
fact-finding	0.0583559
polygraph	0.0580195
procedure	0.0570253
surveillance	0.0566075
"head count"	0.0563265
C-section	0.0561601
sample	0.056085
repatriation	0.0555568
enquiry	0.0553534
diagnosis	0.055238
"oral sex"	0.0552153
DNA	0.0550318
debriefing	0.0548625
renovation	0.054399
transplant	0.0540831
funeral	0.0538515
cleanup	0.0533444
sampling	0.0530832
"spy satellite"	0.0529421
perusal	0.0522482
consultation	0.0521353
referendum	0.0520767
"U.S. Agriculture Department"	0.052062
simulation	0.0517575
documentation	0.0515555
electrocardiogram	0.0514449
prosecution	0.0512944
redesign	0.0503806
tabulation	0.0501523
questioning	0.0500459
spacewalk	0.0499221
physicals	0.0493881
fingerprinting	0.0492947
observation	0.0489272
spacewalks	0.0489052
deliberation	0.048676
evacuation	0.0485675
coroner	0.0484583
measurement	0.0483615
angioplasty	0.0478707
"General Accounting Office"	0.047758
immunization	0.0476648
"public opinion poll"	0.0474906
self-examination	0.047283
prospectus	0.0470879
"test data"	0.0470744
counting	0.04707
dossier	0.0466397
mammography	0.0465568
paperwork	0.0462712
registration	0.0462468
vaccination	0.0462371
voting	0.0462252
auditor	0.0461116
by-elections	0.0460619
installation	0.0459484
wiretap	0.0459394
checking	0.0458223
laboratory	0.0458078
fingerprint	0.0457049
filing	0.0454481
retrieval	0.0454316
corpse	0.0453874
"enforcement action"	0.0453264
checklist	0.0451197
transcript	0.0448895
"National Academy of Sciences"	0.0448146
revision	0.044595
therapy	0.0444259
"test drive"	0.0444206
briefing	0.0443118
"war game"	0.0440313
"ethics panel"	0.0435507
"board meeting"	0.0435194
maintenance	0.0435075
"official document"	0.0434874
reshuffle	0.0434783
Results	0.0434762
circumcision	0.043389
drafting	0.0432582
"medical examiner"	0.043164
reconnaissance	0.0431495
questionnaire	0.0429403
intelligence	0.0428636
conversion	0.0428614
"religious ceremony"	0.0426468
pullout	0.0424469
drilling	0.0423708
cremation	0.0421802
kidnapping	0.0420165
fieldwork	0.0418416
spraying	0.0418223
sterilization	0.0417689
rehabilitation	0.0413741
"sexual assault"	0.0412473
"rehabilitation program"	0.0411705
"wedding ceremony"	0.0411612
lab	0.0411444
proceeding	0.041143
wedding	0.0411347
monitoring	0.0409891
plebiscite	0.0409211
slaying	0.0408801
"field work"	0.0406726
deposition	0.0406272
abortion	0.0405717
replay	0.0405508
exploration	0.040528
"fatal accident"	0.04043
diligence	0.0403667
"work stoppage"	0.0403244
closeup	0.0402372
"historical record"	0.040065
extraction	0.0400571
))
(autoworkers (desc 1630.14) (sims
"dock worker"	0.145648
"United Auto Workers"	0.123183
steelworker	0.102902
UAW	0.102814
"union worker"	0.0983078
"census taker"	0.0931852
farmworkers	0.0911555
"United Steelworkers"	0.0871175
janitor	0.0870581
teamster	0.084698
"coal miner"	0.082772
machinist	0.0815428
Navajos	0.0806032
"trucking industry"	0.0770622
"union member"	0.0765577
"truck driver"	0.0756698
"factory worker"	0.0755201
stagehand	0.0739722
Beijingers	0.0737208
miner	0.0704595
"flight attendant"	0.0702152
hauler	0.0701662
trucker	0.0700934
lobstermen	0.0696891
welder	0.0695358
"Los Angeles City Council"	0.0692992
Eappens	0.0692975
"temporary worker"	0.0691578
enumerators	0.0676989
logger	0.0670595
dockworkers	0.0668381
"government officials"	0.0652491
pensioner	0.0644571
"trucking company"	0.0642807
Ukrainians	0.0642801
policyholder	0.0642112
Cayugas	0.0640347
"farm worker"	0.0630558
Paraguayan	0.0629591
"Iranian POWs"	0.0627064
enlistee	0.0626234
temp	0.0619751
meatpackers	0.0619145
hemophiliac	0.0610563
"fire fighter"	0.0608512
Ozersky	0.0604594
ex-combatants	0.0601788
"Sri Lankans"	0.0594301
kilometre	0.0594298
"San Franciscans"	0.0586042
claimant	0.0581233
"garment worker"	0.0575851
"Communications Workers of America"	0.0573927
Ecuadoreans	0.0573719
Gangelhoff	0.0570401
petitioner	0.0570077
Liberian	0.0569572
"work group"	0.0568525
Cuban-Americans	0.0562224
holidaymaker	0.056056
Teamsters	0.0558878
"Pakistan People's Party"	0.0557067
Georgian	0.0556239
"military mission"	0.0556151
Croatians	0.0552899
"foreign service officer"	0.0551139
Snipes	0.055109
vacationer	0.0550377
beachgoers	0.0549326
"military personnel"	0.0548178
Eritrean	0.0548099
"big leaguer"	0.0547981
Nepalese	0.0545401
"small farmer"	0.0536215
"altar boy"	0.053497
"Israeli Arabs"	0.0534317
"foster child"	0.053203
"Green Party"	0.0529894
"New Englander"	0.052968
urbanites	0.0529453
"skilled worker"	0.0528868
householder	0.0526567
reservist	0.0526493
motorcyclists	0.0520669
"church member"	0.0518434
"field trial"	0.0517654
midshipmen	0.0516874
Guatemalan	0.0516564
"fellow worker"	0.0514167
Ghanaians	0.0513506
"South Carolinian"	0.0512269
Muscovite	0.0511033
Washingtonian	0.0510427
soliders	0.0509568
"dairy farmer"	0.0508719
"Kosovo Serbs"	0.0507804
Orangemen	0.0506655
"aerospace giant"	0.0503471
Murr	0.0502268
Panamanian	0.0501397
Macedonian	0.0496987
snowmobilers	0.049624
telecommuters	0.0496214
Bisek	0.0495089
worshiper	0.0494802
"media property"	0.0494236
"lieutenant general"	0.0494006
well-wisher	0.0493564
"military man"	0.0492911
armymen	0.0491947
"faculty member"	0.0491907
"Local @@"	0.0490718
Uruguayan	0.0489816
Missourian	0.0488382
Atlantans	0.0485826
"armed service"	0.0484567
snowbird	0.0483653
marcher	0.0483299
"ballet company"	0.0480294
"National Guardsmen"	0.0479895
"Southern Democrats"	0.0479323
Bostonians	0.0477315
Iowan	0.0475979
"Iraqi Kurds"	0.0475058
paratroops	0.0473955
mainlanders	0.0473675
"political detainee"	0.0473273
B-@s	0.0472751
Oregonian	0.0471652
boater	0.0470705
bailiff	0.046918
electrician	0.0468279
"displaced person"	0.0467689
conferees	0.046635
celebs	0.046615
"Iraqi POWs"	0.0465784
"plant closing"	0.0465328
"Michael Portillo"	0.0464987
"North Carolinian"	0.0464197
deserter	0.0464095
claimer	0.0462759
Athenian	0.0462649
adoptees	0.0462016
"bus driver"	0.0461435
filmgoers	0.0458669
AHP	0.0454763
Bosnians	0.0450579
Suarez	0.0449866
Creationists	0.0448674
Chechens	0.0448562
kayaker	0.0447519
"Cuban Americans"	0.04474
ancients	0.0447157
Intimidator	0.0445887
toolbars	0.0445573
"New York City schools"	0.0443908
firemen	0.0443758
"Olympic Council of Asia"	0.0443618
"East Timorese"	0.0442433
"property owner"	0.0441828
"pressure group"	0.0441436
"HKSAR Government"	0.0440398
"Hollywood studio"	0.0439455
"telephone booth"	0.0439116
Inhofe	0.0439044
beany	0.0437887
"exotic dancer"	0.0437657
"theater company"	0.0435739
laid-offs	0.0435218
Wadsworth	0.0434793
rappers	0.0434182
"card holder"	0.0433872
"Albanian Kosovars"	0.0433248
Trepagnier	0.0433025
"political dissident"	0.0432268
"Keith Olbermann"	0.043118
amputee	0.0430779
seminarian	0.0430595
"labor leader"	0.0430405
hectare	0.0429912
"ticket agent"	0.04295
Londoner	0.0427
picnicker	0.042474
Hawaiians	0.0424247
"New York Republicans"	0.0423144
"rescue equipment"	0.0422663
"South Koreans"	0.0422514
"trade unionist"	0.04209
"heroin addict"	0.0420798
forklift	0.0420707
"vehicle sale"	0.0420587
fourth-graders	0.0419798
speller	0.0419606
"TV star"	0.0419559
landowner	0.0419277
"Yankee Clipper"	0.0418086
"telephone operator"	0.0417709
fire-fighter	0.0417683
multimillionaires	0.0416782
oddsmakers	0.0416742
))
(Autry (desc 1684.41) (sims
Blackman	0.149881
Puzo	0.135621
Menuhin	0.132102
Nanula	0.125916
Hess	0.123891
Flaherty	0.120366
Blackmun	0.116839
Logue	0.115503
Tarver	0.107576
Dubus	0.107167
Dandridge	0.107011
Hobson	0.106341
Henning	0.105964
Samuelson	0.104279
Cooke	0.102642
Merrick	0.10097
Perelman	0.0998434
Whittingham	0.0986468
HELLER	0.0984933
Grunow	0.0960107
Tilberis	0.0932485
Shoate	0.091924
Bocelli	0.0883381
Tuinei	0.0876052
Postel	0.0874701
Riady	0.0869622
Timlin	0.0866664
"Al Fayed"	0.0859356
Yoakam	0.0858731
Sargent	0.085332
petty	0.0852862
Whipple	0.0848841
Cline	0.0848825
Mayfield	0.0833008
Hersh	0.0828764
nance	0.0817757
Briscoe	0.0815895
"La Mont"	0.0813812
MCGEE	0.0813315
Stahl	0.0805918
Holzman	0.0805628
Sealy	0.0805561
Caruso	0.0798567
Heppner	0.0797101
Tierney	0.0792245
Quackenbush	0.0786385
Ickes	0.0786354
Byrdsong	0.0777745
Blackwell	0.0777473
Peters	0.077615
Marchand	0.0772902
Podesta	0.0769122
Fairbanks	0.0768897
Horowitz	0.0766411
Segal	0.0765525
Edelstein	0.0764956
DiMaggio	0.0761659
krueger	0.0756001
Runyan	0.0749569
Schulz	0.0749562
Abram	0.0744705
Phills	0.0743118
Shurmur	0.0743001
Higgins	0.0741551
Hartman	0.0739334
Shepard	0.0738518
Coffey	0.0737782
Aguilera	0.073646
O'Neil	0.0735794
Bingham	0.073144
Sarazen	0.0728283
Arens	0.0726621
Whaley	0.0726542
Domingo	0.0725773
"Griffith Joyner"	0.0721027
Petersen	0.0720902
Bechtel	0.0716184
Hanley	0.0714657
Frankenheimer	0.071454
Dowd	0.0712059
McLaughlin	0.0709134
leeson	0.0704246
Arron	0.0700003
Laudrup	0.0699837
Flores	0.0698897
Taubman	0.0696546
Steinberg	0.069428
Perrot	0.06933
McDonnell	0.0691951
Myhrvold	0.0691473
Farber	0.069102
Coolidge	0.0689362
Congeniality	0.0688529
Midler	0.0688014
Harrington	0.0687843
Cormier	0.0685096
Brazile	0.06848
Bowles	0.0683693
Mortimer	0.0681148
O'Connell	0.0680952
Baugh	0.0677431
Isringhausen	0.0676646
Perec	0.0675328
Weisman	0.0674671
Greenberg	0.0674523
Jorgensen	0.0673832
Ivey	0.0672922
Ghani	0.0672728
Leetch	0.0667854
Goldstein	0.066744
rickey	0.0666576
Marinovich	0.0666163
Landry	0.0665457
Chamberlain	0.0663468
Stanton	0.0663071
Dorsett	0.066188
Cochran	0.0659932
Spock	0.0658702
Brooke	0.065613
Schott	0.0655094
Clooney	0.0654648
Giles	0.0653167
Meggett	0.0649843
Watkins	0.0649473
Edelman	0.0648957
McAllister	0.0647787
Baez	0.0645446
Ziegler	0.0643765
BEGAY	0.0643325
Griffin	0.0643144
Rubenstein	0.0642367
Mukora	0.0642045
Bidwill	0.0641873
Blume	0.064187
Rockwell	0.0640589
Lawler	0.0639841
Randall	0.0639702
Alfred	0.0639397
Irwin	0.0637327
Brett	0.0636362
Soto	0.0635225
Pittman	0.0635015
Pastore	0.0634887
Kay	0.0633318
Reese	0.0632633
DiCarlo	0.0632613
Bates	0.0632224
Simmons	0.0630487
Shatner	0.0630362
McGowan	0.0628606
Tillman	0.0627163
Ruff	0.0626987
Spielman	0.0623787
Klemperer	0.0623178
Hickman	0.0621665
Mustafa	0.0621484
Cosby	0.0619015
Rahal	0.0618496
Fassett	0.0618448
Broaddrick	0.0618294
Brownlee	0.0618246
Yoon	0.0617928
Eastwood	0.0617664
Lambert	0.061708
Newsome	0.0615432
Bertelli	0.061522
"De Klerk"	0.0614593
Padilla	0.0614387
Kraus	0.0613493
Greco	0.0610331
Rankin	0.0610283
hoover	0.0608763
Conrad	0.0608065
Webdale	0.0607129
Hagen	0.060708
Durwood	0.0606495
Puente	0.0605604
Norstrom	0.0604406
Castaneda	0.0604278
Harr	0.0604216
Jacobs	0.0603872
Marley	0.0602187
Zagat	0.060037
Gorbachev	0.059961
Parris	0.0599448
Kubrick	0.0598372
Krone	0.0598312
Carbonneau	0.0598287
Twenty-seven	0.0598145
Rowan	0.0598106
Nkabinde	0.0597996
Northup	0.0596645
Draper	0.0596244
Hooper	0.0596172
Silverstein	0.0595942
Ferrer	0.0595624
Fiorina	0.0594972
Raznatovic	0.0592459
Matthaeus	0.0592433
Soares	0.0591778
))
(autumn (desc 25319.6) (sims
Spring	0.175996
winter	0.155596
summer	0.144499
October	0.13434
September	0.128414
November	0.12713
December	0.121248
July	0.119213
June	0.109634
January	0.109194
February	0.107893
August	0.10677
may	0.104144
mid-October	0.100982
April	0.0988892
mid-June	0.091722
mid-September	0.0911596
mid-December	0.0877922
"December @@@@"	0.0874154
"late @@@@"	0.0864182
March	0.0864133
Christmas	0.0846764
mid-November	0.0807633
Evening	0.0799377
"October @@@@"	0.0799015
afternoon	0.0781978
mid-April	0.0765267
"May @@@@"	0.0747341
"April @@@@"	0.0746571
morning	0.0744161
mid-August	0.0743199
"November @@@@"	0.0730207
"January @@@@"	0.0722668
"September @@@@"	0.0713944
mid-July	0.0712911
"first week"	0.0702971
"March @@@@"	0.0699718
"July @@@@"	0.0698999
weekend	0.0691879
"second quarter"	0.0689849
"February @@@@"	0.0686832
"August @@@@"	0.0679175
"rainy season"	0.0675315
Thanksgiving	0.0667342
"June @@@@"	0.0662839
Mid-February	0.0652748
mid-March	0.0647679
midsummer	0.0642852
"third quarter"	0.0631613
monsoon	0.0631399
"second half"	0.0614712
tomorrow	0.0604874
mid-January	0.0604172
Easter	0.0601573
mid-@@@@	0.0600283
"April, @@@@"	0.0582653
"May, @@@@"	0.057467
"first half"	0.0569688
mid-May	0.0569192
nights	0.0555719
weeklong	0.0547616
"dry season"	0.0541985
"Oct @"	0.0541112
"first quarter"	0.0530607
"second week"	0.0529932
eight-day	0.0527926
"Labor Day"	0.0525978
Summers	0.0520271
nine-day	0.0519642
"last week"	0.0516633
three-day	0.0516573
evenings	0.0512425
"third millennium"	0.0511263
two-week	0.051046
"late @@@@s"	0.0506939
five-day	0.049668
"first year"	0.0485456
six-hour	0.0484689
"a few days"	0.0481943
three-week	0.0477155
"Sept @@"	0.0477058
tonight	0.0474941
yesterday	0.0473061
four-day	0.0473016
two-day	0.0471409
one-week	0.0470971
four-hour	0.0468195
monthlong	0.0465628
"June @@"	0.0465148
"May @@-@@"	0.0464491
"October @"	0.0463336
"holiday season"	0.04577
"year end"	0.0457239
"New Year"	0.0455348
"Feb @@"	0.0454095
"September @@"	0.0453991
"one day"	0.0453917
"Oct @@"	0.0451035
"May @@"	0.0449188
"baseball season"	0.0447757
"July @@"	0.044695
"Dec @"	0.0446027
weekends	0.0445184
"December @@"	0.0445143
"a few months"	0.0443771
"academic year"	0.044236
"April @@-@@"	0.0441946
"July, @@@@"	0.0440472
"March @@"	0.04396
"from @@@@ to @@@@"	0.0436381
"March @"	0.0435887
"five years"	0.0435768
six-day	0.0435283
"basketball season"	0.0434806
seven-day	0.0433885
"northern hemisphere"	0.0432604
"Sept @@-@@"	0.0431784
"three months"	0.0430805
Halloween	0.0429665
"June @@-@@"	0.042709
"Oct. @."	0.0426757
"Nov @@"	0.0425622
two-month	0.0424883
millennium	0.0423882
"a few weeks"	0.0423309
"Memorial Day"	0.0422403
semester	0.0420525
"fiscal year"	0.0419809
"third week"	0.0419781
"three years"	0.0418519
"four years ago"	0.0418155
"March @@-@@"	0.0415773
holiday	0.0415271
four-month	0.0414341
"growing season"	0.0414166
"school year"	0.0413613
"spring training"	0.0412337
"financial year"	0.0410917
"April @@"	0.0410264
"calendar year"	0.0408536
"June @"	0.0408478
midafternoon	0.0405975
"a few weeks ago"	0.0405931
"Jan @"	0.0405446
mornings	0.0405165
summertime	0.0401745
"second year"	0.0401497
"Jan @@"	0.0400925
"three months ago"	0.0400484
))
(Auxerre (desc 2686.56) (sims
Bastia	0.275165
"Paris St Germain"	0.210954
"Olympique Marseille"	0.194807
"Celta Vigo"	0.185429
"VfB Stuttgart"	0.184011
Montpellier	0.175875
"Arnaud Di Pasquale"	0.170237
"Real Betis"	0.167076
Besiktas	0.162048
Metz	0.161904
Torino	0.155158
"Borussia Moenchengladbach"	0.153403
"Guy Forget"	0.153071
"Spartak Moscow"	0.150136
Rosenborg	0.149651
"Nathalie Dechy"	0.148447
Gremio	0.148328
"Schalke @@"	0.14795
Zamalek	0.147693
"Arnaud Boetsch"	0.144301
Anderlecht	0.143762
"Velez Sarsfield"	0.140812
"Jerome Golmard"	0.140728
"Arnaud Clement"	0.14068
Penarol	0.13969
"Sarah Pitkowski"	0.139045
"Athletic Bilbao"	0.137521
Fenerbahce	0.137285
"Coventry City"	0.135546
"Sebastien Grosjean"	0.135523
"Atletico Madrid"	0.134953
Nacional	0.134793
Independiente	0.133571
"Olympiakos Piraeus"	0.132754
"Albert Portas"	0.130406
Feyenoord	0.13034
Brondby	0.130217
"Alexandra Fusai"	0.129625
"Nicolas Escude"	0.129371
"Sturm Graz"	0.129346
Panathinaikos	0.128553
"Slavia Prague"	0.128538
"Chinese Army"	0.128362
Galatasaray	0.128277
"Guangzhou Apollo"	0.126768
"Guillaume Raoux"	0.125705
"VfL Wolfsburg"	0.124689
Rennes	0.124573
"Boca Juniors"	0.123701
Heerenveen	0.123205
"Qingdao Hainiu"	0.122944
"FC Porto"	0.12276
"Tatiana Panova"	0.122591
"Olivier Delaitre"	0.122403
"Real Sociedad"	0.121974
"Joannette Kruger"	0.121802
"Barbara Schwartz"	0.121105
"AEK Athens"	0.121086
"Leicester City"	0.120866
Cagliari	0.120618
Benfica	0.120268
"Partizan Belgrade"	0.120007
"PSV Eindhoven"	0.119589
Espanyol	0.118342
"Sichuan Quanxing"	0.117863
Schalke	0.117717
"Galo Blanco"	0.117514
Strasbourg	0.117281
Lyon	0.11711
"Hernan Gumy"	0.116016
Olympiakos	0.115897
"Borussia Dortmund"	0.115578
Watford	0.115185
Valladolid	0.114041
"Nicole Pratt"	0.113651
"Newcastle United"	0.113248
"Adrian Voinea"	0.11294
Piacenza	0.112769
Lecce	0.111372
Kaiserslautern	0.111112
Nantes	0.111067
"Derby County"	0.111015
"Andreas Vinciguerra"	0.110559
"San Lorenzo"	0.110236
"Rainer Schuttler"	0.109477
"Magui Serna"	0.109303
"Jinan Taishan"	0.10908
"Colo Colo"	0.108089
"Bradford City"	0.107931
"Werder Bremen"	0.107627
Necaxa	0.107548
Monaco	0.107494
Porto	0.107234
"Javier Sanchez"	0.106988
"Andrei Pavel"	0.106818
"West Ham United"	0.106553
"Bayern Munich"	0.106095
Salernitana	0.105835
"Dalian Wanda"	0.105547
"Nottingham Forest"	0.105468
"Christian Ruud"	0.105152
Estudiantes	0.104352
"Jubilo Iwata"	0.104348
Habsudova	0.104096
"Fabrice Santoro"	0.103984
Udinese	0.10386
"Amy Frazier"	0.10383
Bordeaux	0.103694
"Aston Villa"	0.103068
"Inter Milan"	0.103048
"Anne-Gaelle Sidot"	0.102988
"Rita Grande"	0.102216
Empoli	0.102027
"River Plate"	0.101974
"Hertha Berlin"	0.101419
"Franco Squillari"	0.101059
"Gianluca Pozzi"	0.100466
"Paola Suarez"	0.100401
"Red Star"	0.100215
"Blackburn Rovers"	0.0992542
"Paul Goldstein"	0.0986607
Parma	0.0982266
Olimpia	0.0981752
"Croatia Zagreb"	0.0979776
Obilic	0.097845
Atalanta	0.0978062
Cruzeiro	0.0977656
Sevilla	0.0977302
"Richard Fromberg"	0.0974901
"Kenneth Carlsen"	0.0972597
Dosedel	0.0970653
Perugia	0.0970187
"Mariano Zabaleta"	0.096955
Ajax	0.0967205
Flamengo	0.0964779
"Daniel Nestor"	0.0963339
Meligeni	0.0962477
Shenhua	0.096228
Spartak	0.0960959
"Karim Alami"	0.096032
AEK	0.095999
"Bayer Leverkusen"	0.0955173
Limoges	0.0953139
Caen	0.0952049
Venezia	0.0950471
"Glasgow Rangers"	0.095004
"Jean-Philippe Gatien"	0.0948239
"Ramon Delgado"	0.0943941
"Sargis Sargsian"	0.0943845
Duisburg	0.0941145
"Miriam Oremans"	0.0933339
"Cedric Pioline"	0.0932113
"Vincent Spadea"	0.0929504
"Amelie Mauresmo"	0.0926934
"Wayne Black"	0.0918486
"Anne Kremer"	0.0917945
"Alberto Costa"	0.0916887
"Renzo Furlan"	0.0916829
"Leander Paes"	0.0915124
"Deportivo Coruna"	0.0911976
Bari	0.091122
"Leeds United"	0.0909901
"Davide Sanguinetti"	0.0908593
"Catalina Cristea"	0.0907459
"Andrew Ilie"	0.0907447
"Shanghai Shenhua"	0.0905368
Raja	0.0904214
"Florencia Labat"	0.0901667
"Naoko Sawamatsu"	0.0897814
"Julian Alonso"	0.0897096
"Guangdong Hongyuan"	0.0894811
Tenerife	0.0894514
Ulihrach	0.089196
"Xavier Malisse"	0.0890907
"Scott Draper"	0.0884117
"Sabine Appelmans"	0.0876697
"Tara Snyder"	0.0875373
Fiorentina	0.0875214
"Hicham Arazi"	0.0871194
"Real Madrid"	0.0870965
"Deportivo La Coruna"	0.0870379
Atletico	0.0869831
Testud	0.0869426
Toulouse	0.0868364
"Asa Carlsson"	0.086705
Marseille	0.0862663
Wolfsburg	0.0862159
"Magdalena Maleeva"	0.0861556
Hongyuan	0.0859993
Malmo	0.0857807
"Crystal Palace"	0.085753
"Albert Costa"	0.0857326
Alaves	0.0855228
"Younes El Aynaoui"	0.085486
"Sandrine Testud"	0.0854023
"Mikael Tillstrom"	0.0846182
"Sjeng Schalken"	0.0845823
"Dynamo Kiev"	0.0844515
"Ajax Amsterdam"	0.0839576
Rostock	0.0838677
))
(auxiliary (desc 1991.35) (sims
"Congressional Black Caucus"	0.0831176
"South Lebanon Army"	0.067859
"Business Council"	0.0671128
"religious order"	0.0648831
regrets	0.0622621
ensign	0.0613329
Amal	0.0587453
"Kosovo Verification Mission"	0.057605
"rest room"	0.057275
SLA	0.0571334
underling	0.0554847
"paramilitary organization"	0.0546746
"Congress Working Committee"	0.0546301
"personnel department"	0.0535043
Os	0.0527769
"Russian Security Council"	0.0523341
"National Executive Committee"	0.0519192
"Monetary Policy Committee"	0.0516988
alternator	0.0512226
JMC	0.0503023
"planning board"	0.049982
CCC	0.0491819
"heavy weapon"	0.0491257
"Islamic Movement"	0.0485865
"secret society"	0.0485264
Anglican	0.0483591
tugboat	0.0480394
"Street Crime Unit"	0.0480312
"Human Rights Commission"	0.0480005
"diplomatic corps"	0.0476016
"Royal Air Force"	0.0473898
"hand tool"	0.047106
"General Security Service"	0.0470805
nonprofits	0.0470611
"hockey coach"	0.0470605
"Operation Lifeline Sudan"	0.0465956
"advisory board"	0.0465361
"World Bank Group"	0.0463462
"governing board"	0.0461622
pimpernel	0.0456647
Internet@	0.0456171
"production ceiling"	0.0455861
Mensa	0.0454794
behinds	0.0454345
gendarmerie	0.0453218
"Islamic Jihad"	0.0453099
materiel	0.0451977
"Mormon Church"	0.0451406
"Muslim Brotherhood"	0.0450826
"Texas Air National Guard"	0.0449898
"Alcoholics Anonymous"	0.0449536
"Supreme Council"	0.0449
clique	0.044838
"trade association"	0.0446115
"Church of England"	0.0444762
chaperone	0.0444594
"stock company"	0.0444446
"military commission"	0.0441172
croquet	0.0440737
medic	0.044038
"American Association of Retired Persons"	0.0439433
curling	0.0439116
"bus company"	0.0436196
"Federal Open Market Committee"	0.0435529
sorority	0.0433483
GEF	0.0433341
newscaster	0.0433097
deejays	0.0432891
"work group"	0.0432265
"honor guard"	0.0431533
"social group"	0.0431255
"flour mill"	0.042989
"Medicare HMOs"	0.0426514
"staff officer"	0.0425882
"music school"	0.042332
IGC	0.0420132
"armed service"	0.0416798
"Albanian Kosovo Liberation Army"	0.0416772
"professional basketball"	0.0416575
"New Jersey State Police"	0.0416296
guild	0.0415868
"professional association"	0.0411904
"Board of Elections"	0.041098
"staging area"	0.0410043
"account statement"	0.0409028
"Commonwealth Ministerial Action Group"	0.0408
"South Lebanese Army"	0.0407878
"telephone exchange"	0.0406226
"business organization"	0.0405237
"Print Shop"	0.040145
"PLO Executive Committee"	0.0400819
foursome	0.0400552
"Miller Park"	0.0400136
"baseball league"	0.0400117
))
(Av (desc 3184.11) (sims
"Colorado Avalanche"	0.166908
avalanche	0.154273
bearcat	0.131071
gamecock	0.129332
Huskers	0.125328
Boilermakers	0.124366
sabre	0.121824
Hawkeyes	0.121321
Springbok	0.107423
Wolfpack	0.100909
Minutemen	0.0973654
Razorback	0.0967433
oiler	0.0960964
"Crimson Tide"	0.0948433
Illini	0.0932903
"blue devil"	0.0932895
Sooners	0.0931166
Unh	0.0925492
Wolverine	0.0920438
cougar	0.0919133
"Horned Frogs"	0.0917135
Cavs	0.0909985
NAU	0.090721
Terps	0.0905745
coyote	0.090398
Jayhawks	0.0901133
K-State	0.0890312
winger	0.08846
Bayern	0.0884072
Lobos	0.088288
"Chicago Blackhawks"	0.0879614
"Maple Leafs"	0.087958
Hoya	0.0868949
Cornhusker	0.0868365
devil	0.0864852
"Phenix City"	0.0862667
terrapin	0.0851493
Uri	0.0847887
Canuck	0.0837586
UAB	0.0830974
buckeye	0.0830298
"Jackson State"	0.0826906
"Boston Bruins"	0.0823284
bruin	0.0820192
Spartan	0.0820025
Starzz	0.0814529
"Anaheim Mighty Ducks"	0.0813734
MSU	0.0808393
matador	0.0804552
Hoosier	0.0802289
"Fighting Irish"	0.0802066
BUCCANEER	0.0787694
gopher	0.0786798
thrasher	0.0785633
"Red Wings"	0.0785334
Hejduk	0.0779346
Nicol	0.0776509
flyer	0.0774205
Canadiens	0.076812
"Tar Heels"	0.0765727
Obilic	0.0762222
Bucs	0.0761503
wallaby	0.076088
wildcat	0.0758527
"St. Louis Blues"	0.0755712
"Buffalo Sabres"	0.0755101
sixer	0.0753958
OSU	0.0740931
bulldog	0.0736873
Blackhawks	0.072637
Xavier	0.0726222
Hokies	0.0725842
penguin	0.0720925
badger	0.072092
"yellow jacket"	0.0719082
MetroStars	0.0718069
Sonics	0.0712751
LeClair	0.0712569
Longhorn	0.0709545
islander	0.0708643
"Phoenix Coyotes"	0.0706755
Hofstra	0.0706256
Polgar	0.0703159
MacCulloch	0.0701161
Isringhausen	0.0699548
"Red Storm"	0.0698786
"Los Angeles Galaxy"	0.0698487
Shenhua	0.0695173
grizzly	0.0694913
Artest	0.0691318
Iona	0.0690923
Stephenville	0.0685942
"Nittany Lions"	0.068445
Gonzaga	0.0683997
Gators	0.0682369
Mavs	0.0679864
"Iowa State"	0.0677352
"Red Raiders"	0.0675794
"Red Star"	0.067536
Seminoles	0.0674943
"Arkansas State"	0.0673331
Fizer	0.0672877
"Red Star Belgrade"	0.0671489
pacer	0.066889
panther	0.0664402
"San Jose Sharks"	0.0664346
Gillom	0.066383
Vols	0.066341
"Oregon State"	0.0660026
Kenseth	0.0655431
Sparks	0.065457
"Montana State"	0.0654329
Forsberg	0.0651542
Sautin	0.0650887
Aggies	0.065041
Timberwolves	0.0650181
Schoeneweis	0.0649639
"Old Dominion"	0.0648874
"Trail Blazers"	0.0648762
Hornet	0.0648669
"San Jose State"	0.0648494
Capel	0.0642344
"Southwest Missouri State"	0.0641392
Nieuwendyk	0.0641071
"Miami Fusion"	0.0638797
"Washington Capitals"	0.0637649
Huber	0.0636935
McInnis	0.0635279
"Roy Lassiter"	0.0633631
"New Jersey Devils"	0.0630698
UTEP	0.0630411
UMass	0.0629845
"Gabe Muoneke"	0.0628391
FSU	0.0627563
Herges	0.062705
"Team USA"	0.0624202
Padre	0.0623845
niner	0.0621163
Trojan	0.0620461
Aamodt	0.0619928
Pepperdine	0.0619724
Stephenson	0.0619347
Hebert	0.0618874
ANAHEIM	0.061863
Eldred	0.0617777
Rattler	0.0617707
shark	0.0614892
"Dallas Burn"	0.0613242
MacInnis	0.061215
Gatling	0.0608669
piston	0.0607001
Rucchin	0.0603905
corinthian	0.0602445
"Dallas Stars"	0.0601416
PAOK	0.0599572
Utes	0.0599023
Rutgers	0.0598995
blazer	0.0598506
Sabonis	0.0597525
Candiotti	0.0596545
three-point	0.0596503
cavalier	0.0595551
Raptor	0.0595058
"Penn State"	0.0594184
Bayi	0.0593734
"TOMS RIVER"	0.0593537
Vidro	0.0593215
Eagles	0.0592272
Buffaloes	0.0591874
Karlsson	0.0591764
"Fresno State"	0.0591663
Catalanotto	0.0590809
Atletico	0.0589904
Bengals	0.0589268
"Vancouver Canucks"	0.0587214
UNT	0.0586965
"Scarlet Knights"	0.058447
PSV	0.0583316
Marquette	0.0583003
Palmeiras	0.0582362
Preki	0.0581944
Olympiakos	0.0581292
Bergkamp	0.0581273
UNC	0.0581117
Brogna	0.0580918
ASU	0.0579442
"Kansas State"	0.0578449
charger	0.0578113
maverick	0.0575418
Cruzeiro	0.0574251
husky	0.057336
WSU	0.0573348
"Mississippi State"	0.0573265
Fuhr	0.0569439
Drury	0.0569312
CSUN	0.0567553
Nagy	0.0566913
Godina	0.0566299
Valparaiso	0.0564996
Stumpel	0.0564947
))
(Ava (desc 794.979) (sims
P.J	0.105451
"U.S. Soccer Federation"	0.0719439
"Janet McTeer"	0.0698571
Terra	0.0659543
Rosales	0.0648617
"Antonio Langham"	0.0635593
Ribbeck	0.0624872
richer	0.0590053
claimer	0.0587886
Lehrer	0.0572612
Musa	0.0570376
Bochy	0.0556592
Skiles	0.0556015
CCC	0.0550784
deadhead	0.0549209
"Big Blue"	0.0535892
Alarcon	0.0535034
eroding	0.053191
Yucca	0.053164
NiSource	0.052746
Virginian	0.0526758
NRM	0.0524109
Majko	0.0522181
JetBlue	0.0518636
Webcam	0.051201
Beatrice	0.0503344
Ceballos	0.0498572
CMAG	0.0495393
Eyadema	0.0485325
"Commonwealth Ministerial Action Group"	0.048491
Harrell	0.0482817
Espinosa	0.0482557
"Village Voice"	0.0480292
"Los Angeles City Council"	0.0479553
Montenegrin	0.0479235
iss	0.0479199
"Tim McGraw"	0.0478368
dogwood	0.0477511
Len	0.0477302
Garber	0.0473546
Bhattarai	0.0473537
DFB	0.0473345
Badillo	0.0471405
Iger	0.0468552
Nacional	0.0468234
Pape	0.0465343
"Bela Karolyi"	0.0464253
Finkel	0.0464211
AFA	0.0464011
"John Lithgow"	0.0462917
OCA	0.0462651
ITC	0.046222
GEF	0.046131
"World Vision"	0.045783
Nate	0.0455784
"Southern Democrats"	0.0452601
DLC	0.0450169
Babs	0.0449677
"Fox Sports News"	0.0447173
Englishwoman	0.0444503
wattle	0.0443758
Whyte	0.0443419
sixth-graders	0.0443077
Teresi	0.0442795
AOC	0.0440975
Slovakian	0.044094
"woman's body"	0.0440804
XYLAN	0.0440252
Arbour	0.0438115
"Beth Israel"	0.0436248
technicals	0.0434893
masseuse	0.043386
BSA	0.043323
"Little Dog"	0.0432928
"other @@@"	0.0429347
eco	0.0426384
GeoCities	0.0426099
Burleigh	0.0424529
SFA	0.0424044
prof	0.0423673
"work group"	0.0422008
nunnery	0.0421863
Virgil	0.0419954
Jonah	0.0419676
Archie	0.0418879
RJR	0.0418596
ABA	0.0418343
"Mike Dunleavy"	0.041734
bauhinia	0.0417035
UDF	0.0415489
PATA	0.0414564
"Howard Baker"	0.0414432
Desormeaux	0.0414408
Nicol	0.0413974
gardenia	0.0412999
Eliza	0.0412319
"CBS SportsLine"	0.0409588
CNA	0.0408955
Yarmila	0.0408236
Lucasfilm	0.0408177
"Red Violin"	0.0408142
Embraer	0.0407087
"Senate Governmental Affairs Committee"	0.0406935
"Krishna Prasad Bhattarai"	0.0406196
CMA	0.0405698
capella	0.0405304
Meguid	0.0404905
WEF	0.040381
Tarawneh	0.0403727
"machinists union"	0.0403549
Elmo	0.0402203
Juma	0.0401989
Elton	0.0401705
Cronin	0.0400031
))
("Ava Gardner" (desc 1463.57) (sims
"Audrey Hepburn"	0.187794
"Cary Grant"	0.158366
"James Stewart"	0.134601
"Clark Gable"	0.129143
"Burt Lancaster"	0.122332
"Jimmy Stewart"	0.108982
"Elizabeth Taylor"	0.108758
"Gary Cooper"	0.10777
"Ingrid Bergman"	0.104795
"Gene Kelly"	0.100738
"Greta Garbo"	0.0994839
"Humphrey Bogart"	0.0974002
"Marlene Dietrich"	0.0962562
"Lana Turner"	0.0948678
"James Dean"	0.0940912
"Marlon Brando"	0.0918624
"Jacqueline Kennedy"	0.0917189
"John Wayne"	0.0878308
"Gregory Peck"	0.0848379
"Ed McMahon"	0.0845236
"Spencer Tracy"	0.0822253
"Bing Crosby"	0.0766007
"James Cagney"	0.0765211
"Grace Kelly"	0.071521
"Errol Flynn"	0.0681229
Shreveport	0.0658487
"Lauren Bacall"	0.0646837
Bacall	0.0589426
"Katharine Hepburn"	0.0582762
"Judy Garland"	0.0578359
"Marilyn Monroe"	0.0568373
"Buster Keaton"	0.0541244
"Sophia Loren"	0.0537342
"Laurence Olivier"	0.0500911
"Richard Burton"	0.0498683
"John Gielgud"	0.0493788
"Bob Hope"	0.0475593
"Joan Crawford"	0.0458243
"J. Edgar Hoover"	0.0455837
"Brooke Shields"	0.0432251
"Nat King Cole"	0.0428643
"Johnny Carson"	0.0422748
"Jimmy Smits"	0.0400345
"Meryl Streep"	0.0400026
))
(avail (desc 5841.07) (sims
detriment	0.0565636
fruition	0.047216
unavailability	0.0461524
))
(availability (desc 42842.1) (sims
distribution	0.138129
accessibility	0.126794
shortage	0.126774
quality	0.126286
supply	0.124583
scarcity	0.119112
reliability	0.117543
consumption	0.11157
flow	0.110634
affordability	0.110482
lack	0.103809
utilization	0.103252
usage	0.103229
quantity	0.102473
amount	0.102204
cost	0.10156
effectiveness	0.10137
productivity	0.101156
efficiency	0.0998616
oversupply	0.099738
pricing	0.0995757
Proliferation	0.0991027
access	0.098746
price	0.0978629
sale	0.0976965
liquidity	0.0957902
profitability	0.0950625
ability	0.092689
growth	0.0915706
influx	0.0913858
allocation	0.0909111
delivery	0.0904296
introduction	0.0902438
competitiveness	0.0900073
safety	0.0891886
size	0.0889136
popularity	0.0887539
importation	0.0884985
development	0.0884111
production	0.0879451
capability	0.0878812
inflow	0.0873338
glut	0.0869144
shipment	0.086652
mobility	0.0860296
expansion	0.0856715
dearth	0.0844181
accuracy	0.0843753
status	0.0839414
viability	0.0837099
marketing	0.08355
inventory	0.0834656
acceptance	0.0831547
ownership	0.0830249
diversification	0.0828948
diversity	0.0823635
demand	0.0821924
"production cost"	0.0821452
scope	0.0818276
import	0.0815857
capacity	0.0812817
provision	0.0811937
durability	0.0811117
value	0.0808698
number	0.0807232
procurement	0.0801559
breadth	0.0798942
purchase	0.0795546
transfer	0.0789621
output	0.0787878
stockpile	0.0786251
type	0.0784707
transportation	0.0782328
financing	0.0781803
improvement	0.0780541
convenience	0.0778428
coverage	0.0775414
efficacy	0.0774791
deregulation	0.0774506
dissemination	0.077375
perception	0.0770765
disclosure	0.07688
health	0.0768722
"interest rate"	0.0768198
absence	0.0765923
export	0.0765141
complexity	0.0763482
"rising prices"	0.0761445
strength	0.0760323
"price increase"	0.0758492
presence	0.0758202
enforcement	0.0756982
flexibility	0.0755496
participation	0.0752736
reduction	0.0747389
awareness	0.0744594
condition	0.0744529
impact	0.0744314
readiness	0.0743391
adoption	0.0742713
willingness	0.0741354
potential	0.0739427
content	0.073902
funding	0.0738479
management	0.0738006
intake	0.0735331
"market condition"	0.0731655
concentration	0.0730947
"oil price"	0.0729932
benefit	0.0729395
employment	0.0726533
infrastructure	0.0726011
density	0.0723562
expenditure	0.0720136
performance	0.0719934
retention	0.0719381
abundance	0.0719008
"rapid growth"	0.071699
stockpiling	0.0716189
application	0.0716118
speed	0.0716052
stability	0.0713743
income	0.0712197
timing	0.071174
paucity	0.0709226
circulation	0.070881
outcome	0.070734
processing	0.0707118
accountability	0.0705948
regulation	0.0704402
"standard of living"	0.0704319
"money supply"	0.0704097
recovery	0.0701422
testing	0.0700754
Promotion	0.0698874
"profit margin"	0.0698565
cultivation	0.0697995
penetration	0.0697539
prevalence	0.0697222
unemployment	0.0696938
prospect	0.0695641
"consumer demand"	0.0693892
misuse	0.069365
weather	0.0691851
Openness	0.0691507
"labor cost"	0.0691123
harvest	0.0690832
storage	0.0689784
protection	0.068905
yield	0.068854
rate	0.0687764
absorption	0.0686927
"customer service"	0.0686851
visibility	0.0686609
"job security"	0.0686216
resource	0.0684704
pollution	0.0682094
frequency	0.0681024
emergence	0.0680887
variety	0.067989
demographics	0.0675501
exposure	0.0674622
manufacture	0.0673528
potency	0.0673178
maintenance	0.0672966
likelihood	0.0672961
disparity	0.0671944
exploitation	0.0671868
outflow	0.0671108
volume	0.0670892
volatility	0.0669402
depreciation	0.066815
transparency	0.066804
taxation	0.0667531
urbanization	0.0665254
credibility	0.0665227
level	0.0665206
nature	0.0664899
outlook	0.0663353
attendance	0.0663088
innovation	0.0660834
"labor market"	0.0659869
spending	0.0659713
sharing	0.0659575
policy	0.0659401
"selling price"	0.0658232
Implementation	0.0657512
technology	0.065514
factor	0.0655104
commercialization	0.0655057
uncertainty	0.0654804
"quality of life"	0.0654046
transport	0.0653952
importance	0.0650515
slowdown	0.0650238
security	0.0650178
allotment	0.0649609
turnout	0.0648827
overuse	0.0647377
payment	0.0647327
))
(avalanche (desc 38479.4) (sims
mudslide	0.167487
"Colorado Avalanche"	0.160519
landslide	0.156715
Av	0.154273
"flash flood"	0.14893
"Red Wings"	0.127679
flood	0.125455
sabre	0.119896
tornado	0.118767
earthquake	0.115686
"tidal wave"	0.11491
blizzard	0.110331
deluge	0.109837
cyclone	0.107795
"Maple Leafs"	0.1055
tsunami	0.104933
coyote	0.103717
storm	0.102457
Canuck	0.101096
hurricane	0.100205
oiler	0.0994095
flyer	0.0993781
devil	0.0986358
bruin	0.0979448
torrent	0.0955433
Colorado	0.0955273
lightning	0.0934628
"Dallas Stars"	0.0926864
snowstorm	0.0917111
Canadiens	0.0914823
"Los Angeles Kings"	0.0911053
"Detroit Red Wings"	0.0904327
"Buffalo Sabres"	0.0903045
wave	0.0899289
ranger	0.0894307
"New York Rangers"	0.0888268
islander	0.0887003
pacer	0.0886047
barrage	0.0882378
Quake	0.0878111
Blackhawks	0.087445
MetroStars	0.0868248
panther	0.0856054
explosion	0.0848036
Typhoon	0.0847288
Lakers	0.0838396
penguin	0.0819877
blaze	0.0815487
flurry	0.0801158
eruption	0.0797445
Knicks	0.0797128
shark	0.0794543
"St. Louis Blues"	0.0792984
"Philadelphia Flyers"	0.0790099
Padre	0.0785434
"forest fire"	0.0784653
wildfire	0.0780349
"Los Angeles Lakers"	0.0777863
wildcat	0.0775923
disaster	0.0773921
blast	0.0769726
Detroit	0.0769446
twister	0.0760701
hail	0.0760014
ANAHEIM	0.0751197
temblor	0.0746597
"Edmonton Oilers"	0.0745097
Giants	0.074481
ASTROS	0.0742576
Stars	0.0741674
spur	0.074084
Sonics	0.0736838
"New Jersey Devils"	0.0727478
"Washington Capitals"	0.0726744
accident	0.0721832
"Indiana Pacers"	0.07181
hailstorm	0.0713064
snow	0.0710743
flame	0.0705719
diamondback	0.0705675
"Miami Heat"	0.0705029
grizzly	0.0703116
"volcanic eruption"	0.070276
Dallas	0.0702654
spill	0.0702272
"Vancouver Canucks"	0.0700404
"bomb blast"	0.0698224
Phillies	0.0694531
Eagles	0.0693742
"San Antonio Spurs"	0.0690281
Celtics	0.0686817
rainstorm	0.0685151
"Mighty Ducks"	0.0685115
floodwaters	0.0684852
hawk	0.0683245
Mets	0.0683157
"Ottawa Senators"	0.0681638
"Florida Panthers"	0.0680455
"Red Sox"	0.0680118
downpour	0.0677721
Collision	0.0677413
Seminoles	0.0676927
"New York Islanders"	0.0676056
clipper	0.0675168
"Sacramento Kings"	0.0675003
Thunderstorm	0.0674598
galaxy	0.0674577
Seahawks	0.0674003
Orioles	0.0673719
Carolina	0.0672236
mariner	0.0671538
spate	0.0670473
Steelers	0.0669573
"Tampa Bay"	0.066918
marlin	0.0668431
dodger	0.0666747
conflagration	0.0666272
Buffalo	0.0665831
"blue devil"	0.0665517
brave	0.0665513
husky	0.0663676
Toronto	0.0661399
cardinal	0.0661001
thrasher	0.0657008
sixer	0.0655759
blazer	0.0655225
"Calgary Flames"	0.0655003
bronco	0.0654027
"Tar Heels"	0.0652659
maverick	0.065129
"blue jay"	0.0651009
falcon	0.0650431
"Phoenix Suns"	0.0650291
"Cleveland Indians"	0.0650098
"Houston Rockets"	0.0649748
"Phoenix Coyotes"	0.0649577
"D.C. United"	0.0647879
crash	0.0647705
"San Francisco Giants"	0.0647327
onslaught	0.0646783
A's	0.0644075
"heat wave"	0.0643707
"White Sox"	0.0643099
rocket	0.0641527
cub	0.0641383
bull	0.0640936
collapse	0.064039
sandstorm	0.0638782
"St. Louis"	0.0638715
rain	0.0638028
"Houston Astros"	0.0633441
"Washington Redskins"	0.0633069
Yankee	0.0632378
firestorm	0.0630719
buckeye	0.0630319
"Boston Bruins"	0.0629188
Cavs	0.0629112
"Trail Blazers"	0.0628125
"New York Knicks"	0.0627984
Trojan	0.0625752
"Carolina Hurricanes"	0.0624081
drought	0.0622263
king	0.0621938
Edmonton	0.0621821
Portland	0.0621783
"Chicago Blackhawks"	0.0621296
"Chicago Bulls"	0.0621038
charger	0.0620978
piston	0.0619368
pirate	0.0619218
slide	0.061897
Timberwolves	0.0617372
accumulation	0.0616292
tremor	0.0615924
Rockies	0.06144
"New York Yankees"	0.0613878
Gators	0.061383
calamity	0.0613828
"Texas Rangers"	0.0612957
Raptor	0.0612785
debris	0.0612235
catastrophe	0.0611656
epidemic	0.0610946
"Utah Jazz"	0.060923
stream	0.0607481
riot	0.0607018
Sooners	0.0606778
Phoenix	0.060639
nugget	0.0604518
outbreak	0.0604113
ram	0.0603974
rioting	0.0603597
"Los Angeles Dodgers"	0.0603217
tide	0.0602326
"Pittsburgh Penguins"	0.0602027
Huskers	0.0601278
duck	0.0601264
famine	0.0599129
Calgary	0.0598614
"Toronto Maple Leafs"	0.0597059
))
(Avalon (desc 4739.79) (sims
Corolla	0.0777747
Camry	0.0668122
Celica	0.0586865
"Honda Accord"	0.058474
Maxima	0.0577578
"Didier Auriol"	0.0546445
S@@	0.0529211
Passat	0.0526663
sport-utility	0.0517401
megaplex	0.0500096
Prius	0.0488278
Lexus	0.0484249
TARA	0.0449436
Roxy	0.0444355
Malibu	0.0440792
"Marie Christine"	0.0439925
Stoudamire	0.0435458
"Sleepy Hollow"	0.0434421
Xenia	0.0428731
"Lion King"	0.0417604
Humvee	0.0411914
))
("avant garde" (desc 9465.19) (sims
surrealist	0.123586
minimalist	0.11203
indie	0.0984669
"musical theater"	0.0950427
"cutting edge"	0.0923102
"New Age"	0.0785086
retro	0.0774922
Porno	0.0774657
"free form"	0.0769894
"popular music"	0.0765654
modernism	0.0747599
mainstream	0.0735715
Jazz	0.0735647
Latin	0.0734122
world-famous	0.0728135
"big band"	0.0726374
Afro-Cuban	0.0720102
gothic	0.0715815
"folk art"	0.0713782
absurdist	0.0701111
revisionist	0.0685389
klezmer	0.0675928
Deco	0.0675145
"high fashion"	0.0657353
renaissance	0.065296
"German language"	0.0652466
"rock 'n' roll"	0.0650739
"spoken word"	0.0646342
special-effects	0.0639206
"modern dance"	0.0635022
populist	0.0626017
"chamber music"	0.062463
realist	0.0618855
ballet	0.0614036
"pop music"	0.0613308
hipster	0.06083
improv	0.0603923
hands-on	0.0603113
repertory	0.0600917
"science fiction"	0.0599181
"country music"	0.0598796
collaborative	0.0598106
Hollywood	0.0588403
IMAX	0.0585096
mariachi	0.0581492
counterculture	0.0581412
off-Broadway	0.0578901
Americana	0.0572006
bebop	0.056959
elitist	0.0568352
"melting pot"	0.0567871
trapeze	0.0564524
"musical comedy"	0.0564282
"Old World"	0.0563857
Reggae	0.055491
Danish	0.0552351
multimedia	0.0548105
"Off Broadway"	0.0546776
noir	0.054452
sought-after	0.0544005
hippie	0.054316
Yiddish	0.053731
glam	0.0534596
bluegrass	0.0531333
confessional	0.0530211
COUTURE	0.0529713
"R&AMP;B"	0.0529421
opera	0.0528883
Kirov	0.0528428
Award-winning	0.0527411
zeitgeist	0.0527378
late-'@@s	0.0525835
Irish	0.0522576
kitschy	0.0522333
"folk music"	0.0521968
mime	0.0520761
Zydeco	0.0520084
"New Democrat"	0.0518169
vintage	0.051762
"Blue Dog"	0.0516478
late-@@@@s	0.0516326
crossover	0.0515929
"classical music"	0.0513698
cinema	0.0513511
Masterworks	0.0510384
"comic book"	0.0509988
"show business"	0.0509742
grunge	0.0507881
dada	0.0502142
escapist	0.0500621
made-for-TV	0.0497945
raunchy	0.0497008
genre	0.0496239
Bolshoi	0.0487982
"interior design"	0.0484781
"French Canadian"	0.0482719
"art deco"	0.0482684
"old school"	0.048108
"martial art"	0.0479112
contrarian	0.0478713
flamenco	0.0475904
"this @@@@"	0.0475527
Robbins	0.0473715
techno	0.0472953
emigre	0.0472088
photography	0.0471517
folklore	0.0471485
"dance music"	0.0471377
Tibetan	0.0470947
disco	0.0470546
"Kung Fu"	0.0470209
commissioning	0.046807
ensemble	0.046769
Halloween	0.0465928
electronica	0.0465829
architecture	0.0464646
gospel	0.0463216
pantomime	0.0462726
proactive	0.0461683
cabaret	0.0460525
radicalism	0.0460256
as-yet	0.0459292
pinup	0.0458303
anything-goes	0.0457941
Everyman	0.0457691
Bauhaus	0.0456559
schlock	0.0456098
cartoonish	0.0455834
oddball	0.0454598
downbeat	0.0453449
Goth	0.0453279
rhythm-and-blues	0.0452373
circus	0.0452232
world-class	0.0451611
defining	0.0450729
polka	0.0450723
"Art Nouveau"	0.0450338
Flemish	0.0449791
"haute couture"	0.0448917
overlong	0.0447708
"art form"	0.0446295
choreographer	0.0445449
Soho	0.0441913
"folk song"	0.0439969
composer	0.0438119
"National Geographic"	0.0437751
Brasserie	0.0437449
"fine art"	0.043639
ragtag	0.0434095
"East Village"	0.0434054
artsy	0.0433776
"native American"	0.0430711
Motown	0.0430273
"art movement"	0.0430216
idiom	0.0427522
"New Wave"	0.0427316
spiffy	0.0424686
sensibility	0.0423421
fiction	0.0423157
modernist	0.0422316
pianist	0.0422281
"Eastern European"	0.0422236
poetry	0.0422015
auteur	0.0420543
minimalism	0.0419679
chic	0.0419423
"motion picture"	0.0417281
preteen	0.0417052
DJ	0.0416212
aristocracy	0.0415147
nonfiction	0.0412539
philanthropy	0.0412277
fairytale	0.0412028
geisha	0.0411975
cirque	0.0411359
neo-Nazi	0.0409955
Finnish	0.0409696
Rambo	0.040765
oldies	0.0407289
"still life"	0.040709
menswear	0.0405888
"Beijing Opera"	0.0405562
storybook	0.0404948
blockbuster	0.0404918
tango	0.0403594
"movie star"	0.0402932
glamour	0.0402621
bravura	0.0401539
))
(avarice (desc 1712.95) (sims
sloth	0.0951521
deceit	0.0909966
greed	0.0892674
selfishness	0.0884982
stupidity	0.0813857
meanness	0.080695
arrogance	0.0801424
duplicity	0.0770256
hypocrisy	0.0714053
naivete	0.0688132
vanity	0.0665657
egotism	0.0645094
incompetence	0.0636769
indecency	0.0634292
cowardice	0.0631367
hubris	0.0619009
gluttony	0.061619
cronyism	0.0592549
chicanery	0.0576234
snobbery	0.0544585
barbarism	0.0531239
commercialism	0.050908
dishonesty	0.0508376
immorality	0.0507043
laziness	0.0499423
self-absorption	0.0487727
frailty	0.0470908
disloyalty	0.0470303
callousness	0.0446369
insensitivity	0.0442256
inhumanity	0.0434278
cockiness	0.0425878
misogynist	0.0421111
self-indulgence	0.0420706
mendacity	0.0416704
xenophobia	0.0405485
))
(avatar (desc 2855.68) (sims
font	0.0598706
courtesan	0.059289
subgenre	0.0581426
esthetics	0.0532814
apotheosis	0.0522686
embodiment	0.0505586
"sum total"	0.0493737
cipher	0.0488464
epitome	0.048199
exemplar	0.0472627
pantomime	0.046867
iconoclast	0.0465182
"soul mate"	0.0455532
apostle	0.0455294
dissection	0.0449414
avocation	0.0448937
"fall guy"	0.0443302
cesspool	0.0440243
monstrosity	0.0433677
pretension	0.0430488
"parlor game"	0.042981
virtuoso	0.0427644
"man of letters"	0.0420033
Truism	0.0419163
paraplegic	0.0417985
"first pitcher"	0.0417362
personification	0.0415558
Pasha	0.041504
universality	0.0414246
"adventure story"	0.0414054
"Holy Grail"	0.0413421
"writing desk"	0.0411024
"second person"	0.0411
hermit	0.0405728
"first school"	0.0404574
ensign	0.0403439
arbiter	0.0403384
glimmer	0.0400927
fiefdom	0.0400005
))
(Ave (desc 6683.49) (sims
St.	0.180039
N.W	0.156492
NW	0.10241
N.E	0.100087
avenue	0.0996898
"Plenary Session"	0.0774087
"Infantry Battalion"	0.0760623
prvs	0.0728791
Ticketmaster	0.0710238
AMM	0.064097
E.	0.0628667
"Annual Meeting"	0.0592704
"World Conference"	0.0579552
ld	0.0577928
placer	0.0547757
"Infantry Division"	0.0543659
"wedding anniversary"	0.0532448
Ld-Writethru	0.0528139
"Ministerial Meeting"	0.0511174
inning.	0.0500748
double-double	0.0496609
"International Conference"	0.0488503
rr	0.048738
qtr	0.0484841
Bowery	0.0480726
ALZA	0.0477285
"World Health Assembly"	0.0473604
"Seventh Avenue"	0.0461367
St	0.0459318
percentile	0.0458884
"Circuit Court"	0.0454394
VENATOR	0.0444753
"First Avenue"	0.0444554
plenum	0.044147
placers	0.042861
triple-double	0.042737
BCE	0.0420966
))
(avenger (desc 5192.4) (sims
lassie	0.0928829
"Iron Giant"	0.0845788
"Fighting Irish"	0.0802407
"King Kong"	0.0783357
Hawkeyes	0.0768508
Wolverine	0.0760729
X-MEN	0.0751549
Zorro	0.0749749
"Twilight Zone"	0.0747694
gamecock	0.0745939
"Perfect Storm"	0.0744328
"Inspector Gadget"	0.0735617
"Ideal Husband"	0.0733374
"Phenix City"	0.0685753
Wolfpack	0.0684232
Batman	0.0680859
"Crimson Tide"	0.0668508
Spider-Man	0.0664815
NAU	0.066119
"Horned Frogs"	0.0655371
"Montana State"	0.0654179
X-Files	0.0643766
"Cincinnati Bengals"	0.0642912
Flintstone	0.0635937
"Runaway Bride"	0.0634341
Boilermakers	0.0634096
cougar	0.062755
Huskers	0.0625117
"Home Run Derby"	0.0621679
Superman	0.0620385
Sooners	0.0619807
Stephenville	0.0615896
Hoosier	0.0612653
"Red Raiders"	0.0608951
"Stuart Little"	0.0607799
"Big Daddy"	0.0603186
"Wyatt Earp"	0.0603067
K-State	0.0599977
Jayhawks	0.0598196
"Civil Action"	0.0597864
Minutemen	0.0597399
Rusch	0.0596902
Costner	0.0587942
"Deep Impact"	0.0587196
Lobos	0.058608
Razorback	0.0585539
Illini	0.0579911
niner	0.0579157
Starzz	0.0577838
"Miami Fusion"	0.0576583
"Brady Bunch"	0.0573457
Grinch	0.0571396
BUCCANEER	0.056942
Rattler	0.0566312
Aggies	0.0565838
"Appalachian State"	0.0565395
Waterboy	0.0560975
bearcat	0.0560256
"wing commander"	0.0557344
Fordham	0.0553606
Grambling	0.0551136
raider	0.0546039
"Scarlet Knights"	0.0540522
panther	0.0533031
bulldog	0.053293
"Jackson State"	0.0530156
matador	0.0530156
"Dudley Do-Right"	0.0525963
"Mighty Joe Young"	0.0525094
Raven	0.0524832
Mavs	0.052198
"Tar Heels"	0.0521314
"Washington Redskins"	0.0520593
Bucs	0.052
"South Park"	0.0517872
"Blair Witch"	0.051671
Redskin	0.0515862
"Arkansas State"	0.0514445
Armageddon	0.0512557
"Southwest Missouri State"	0.0510549
Springbok	0.0510041
lumberjack	0.0509331
"Georgia Southern"	0.0508534
buckeye	0.0508146
"James Bond"	0.0504174
"San Diego Chargers"	0.0501939
Hermanson	0.0501888
Cornhusker	0.0501801
Polgar	0.0497572
clipper	0.0497437
Cavs	0.0497141
Eagles	0.0496941
"Love Boat"	0.0496146
OSU	0.0495981
"Love Bug"	0.0494712
"Arena League"	0.0493869
"Red Storm"	0.0492966
FSU	0.0492648
"Brian Moehler"	0.0492609
UMass	0.0491227
"Los Angeles Galaxy"	0.0490564
Bullwinkle	0.0490479
Jaguar	0.0488037
"Rat Pack"	0.0487061
"waiting game"	0.0485765
Mustang	0.048566
hulk	0.0485409
"Damon Huard"	0.0485049
"Lone Ranger"	0.0484416
Av	0.0482997
"Wild Wild West"	0.04828
Matthaeus	0.0482532
"Buffalo Sabres"	0.0480139
"Star Trek"	0.0479764
piston	0.0479122
"two pitchers"	0.0478601
"Nittany Lions"	0.0476928
"Scary Movie"	0.047567
Blackhawks	0.047533
gopher	0.0474623
"Truman Show"	0.0473973
"Ryan Kealy"	0.0473134
Rutgers	0.0472894
"Van Roost"	0.0472861
MSU	0.0469087
Tulane	0.0468599
Hofstra	0.0467643
WSU	0.0467188
Gladiator	0.0466484
Canuck	0.0465168
Laperriere	0.0464857
Wishbone	0.0464765
Acela	0.0464743
Longhorn	0.0464447
Lue	0.0464027
"Dream Team"	0.0462238
wallaby	0.0461399
mountaineer	0.0461365
"yellow jacket"	0.0461057
Taffarel	0.0460947
CSUN	0.0459699
Tarzan	0.0459537
BYU	0.0458792
"Glenn Foley"	0.0458694
"Parent Trap"	0.0456648
vampire	0.0456449
"Golden State Warriors"	0.0454671
"blind man"	0.0454386
Safin	0.0454029
Laettner	0.0453535
"Indianapolis Colts"	0.0453213
madman	0.0453157
"Fight Club"	0.0452904
"Chicago Bears"	0.0452882
Terps	0.0452079
"Maple Leafs"	0.0450908
BEARS	0.0450833
terrapin	0.0449764
Thunderbird	0.0449709
Trojan	0.044951
UNT	0.0448878
"Wild Man"	0.0448713
"Cleveland Browns"	0.0447709
Seminoles	0.0447668
charger	0.0447539
cavalier	0.0447039
"Tito Puente"	0.0445319
out-of-towners	0.0444972
"Steve DeBerg"	0.0444582
Gators	0.0444546
Coetzer	0.0444445
"Philadelphia Eagles"	0.0444261
MetroStars	0.0443568
Hentgen	0.0443251
"Tennessee Titans"	0.0443227
"Mickey Blue Eyes"	0.0442971
lacrosse	0.0441432
"Scott Zolak"	0.0439269
Berasategui	0.0438653
"Mod Squad"	0.0438094
badger	0.0437843
"Toy Story"	0.0437625
"BRIAN MEADOWS"	0.0436764
"Dallas Burn"	0.0436745
Pepperdine	0.0436708
"break of serve"	0.0435765
"Star Wars"	0.0435403
Footloose	0.0435184
Hoya	0.0435024
EdTV	0.043422
"Saint Louis"	0.0434206
Recchi	0.0433442
"St. Bonaventure"	0.0433329
rocky	0.0433172
Andreychuk	0.0432084
"interior decorator"	0.0431539
"Indiana Jones"	0.0430091
bronco	0.0429974
"Scream @"	0.0429511
Smolinski	0.0429501
))
(Aventajado (desc 734.466) (sims
Kasoulides	0.287134
Ruehe	0.277038
Singson	0.235165
Insulza	0.23053
Advani	0.219278
Tarawneh	0.216492
Siazon	0.212994
Ikimi	0.204842
Aguirre	0.202421
Juma	0.198458
Sergeyev	0.194164
"Robert Aventajado"	0.192702
Jayakumar	0.192558
Harmoko	0.190495
Velayati	0.189433
Alatas	0.189227
Rodionov	0.188821
Kyprianou	0.188434
Modise	0.187728
Waigel	0.185085
Azad	0.178525
Okada	0.176235
Guterres	0.17584
Tsang	0.175662
Shareh	0.171813
Kharrazi	0.171172
Fernandes	0.170686
"de Charette"	0.170641
Stroyev	0.170382
Holl	0.169814
Severino	0.169142
Boueiz	0.168381
Demaci	0.168217
Reimer	0.16554
"Orlando Mercado"	0.164974
Brittan	0.16477
Yastrzhembsky	0.164689
Abdel-Meguid	0.164238
Malu	0.163156
Azizah	0.163118
Rifkind	0.162896
Nzo	0.162328
Beazley	0.161489
Klima	0.160974
Wenger	0.160952
Cui	0.160727
Dini	0.160332
"David Bar-Illan"	0.159589
Cem	0.158998
Bizimungu	0.158615
Ciampi	0.155419
Vasile	0.155001
Zuma	0.154934
Kono	0.154791
Majali	0.154549
Meguid	0.154142
Sato	0.15353
Rossotti	0.153246
Scharping	0.153235
Klestil	0.152757
Alarcon	0.151703
Constantinescu	0.151568
Orban	0.150153
Mikhailov	0.149795
Kasyanov	0.149562
Khalil	0.148954
Koirala	0.148583
Xiang	0.148388
Maslyukov	0.147981
Moratinos	0.147899
Mkapa	0.147242
Wolfensohn	0.147061
Ikeda	0.14706
Chavalit	0.146892
Tarrin	0.146514
Nasrallah	0.146318
Flanagan	0.146295
Kwasniewski	0.145857
Troussier	0.145327
Hybl	0.144855
Wolfson	0.144552
Prewitt	0.144275
Reinhardt	0.144115
Shamshad	0.14362
Nazarbayev	0.143132
Stoyanov	0.143004
Sumaye	0.142866
Echols	0.141603
Piot	0.141459
Manley	0.141409
Gujral	0.14129
Schrempp	0.140499
Gowda	0.139817
Seleznyov	0.138756
Ota	0.138447
Surin	0.137908
Prueher	0.137587
Rais	0.137247
"Amos Wako"	0.136097
Iliescu	0.136081
Zou	0.135866
Sha	0.135862
Naumann	0.135421
Masire	0.134661
Zadornov	0.134196
Meles	0.133463
Lari	0.133216
Blatter	0.132834
Ruggiero	0.132624
Duisenberg	0.132263
Sahnoun	0.132115
Bolger	0.132026
Zucker	0.131888
Yazdi	0.131641
DeFrantz	0.130681
Akayev	0.130597
Ganzouri	0.130555
Hirst	0.130256
Saleh	0.129968
Borodin	0.129914
Kabariti	0.129875
Lamberth	0.129137
Bildt	0.12901
Deuba	0.128941
Indyk	0.128582
Sanan	0.127751
Bruton	0.127417
Barshefsky	0.127021
Erekat	0.126301
Fino	0.126079
Rong	0.125982
Rashid	0.125897
Ivanov	0.12495
Gosper	0.124905
Hauser	0.124684
Bhattarai	0.124659
Komura	0.124505
Condit	0.124435
Moussa	0.124356
Daft	0.124243
Carollo	0.123834
Amour	0.12361
"administration official"	0.123549
Chissano	0.123455
Arbour	0.123448
Lipponen	0.123319
Scalfaro	0.123105
Cooley	0.123104
Sheng	0.123092
Eizenstat	0.12295
Milutinovic	0.122757
Hiddink	0.122498
Ecevit	0.12221
"De Klerk"	0.122089
Summitt	0.121819
Granic	0.121636
Nujoma	0.121634
Akbar	0.121533
Gossage	0.121472
Verney	0.120955
Caddell	0.120589
Zhirinovsky	0.120569
Shara	0.120197
"Victor Malu"	0.120181
Malan	0.119984
Neeman	0.119952
McCurry	0.119402
Rawabdeh	0.119326
"De Soto"	0.119319
"Khin Nyunt"	0.119277
"Business Times"	0.11903
Marulanda	0.118974
Venables	0.118947
Fleischer	0.118923
Grasso	0.1188
Sheehan	0.118355
Shipley	0.118312
Axworthy	0.118295
Shevardnadze	0.118216
Aznar	0.118196
Kromah	0.11806
Chubais	0.117945
Schuessel	0.117788
Baz	0.117645
Shaath	0.117531
"Israeli Foreign Ministry"	0.117376
Goossen	0.117158
Cashman	0.11706
Mercado	0.117006
Kumar	0.116901
Grachev	0.116821
Leghari	0.116796
Tella	0.116752
Neilson	0.116674
"Krishna Prasad Bhattarai"	0.11665
McCombs	0.116392
Napolitano	0.116339
Benazir	0.116323
Ghali	0.11626
Hoss	0.116211
Clerides	0.115952
Chiluba	0.115731
Ogata	0.115692
Aziz	0.115448
Pangalos	0.115324
Leung	0.115218
Solana	0.115116
Thayer	0.115019
Boutros-Ghali	0.114788
Kulikov	0.114681
Banharn	0.11462
Burleigh	0.114537
Persson	0.114511
Ebersol	0.114463
Bambang	0.11443
Ashrawi	0.114062
Phieu	0.113742
Kostov	0.113052
Antara	0.113031
Husseini	0.112828
Narayanan	0.112796
Liao	0.112772
Cavallo	0.112769
"Helen Clark"	0.112615
"Straits Times"	0.112586
Benedetti	0.112488
Geiger	0.112339
al-Sahaf	0.11221
McKinnon	0.11149
Conte	0.111226
Fieger	0.110881
Satcher	0.110861
Krasniqi	0.110552
Nateq-Nouri	0.110367
Zeman	0.110083
Gurirab	0.110001
Diouf	0.109638
Passarella	0.10961
Obeid	0.109259
Hirschbeck	0.109252
Gullikson	0.109189
Stepashin	0.108955
Downer	0.108811
Vance	0.108639
Buzek	0.108552
"Lee Hsien Loong"	0.108547
"Frederick Sumaye"	0.108504
Berri	0.108404
Erwin	0.108163
Westendorp	0.107866
Robson	0.107822
Havelange	0.10782
Vollebaek	0.107667
Goldin	0.107662
Bellamy	0.107636
Sasser	0.107248
Villar	0.107248
Wagoner	0.106942
Rothenberg	0.106877
Hoddle	0.10687
Beilin	0.106504
Zamora	0.10623
Nickerson	0.10614
Meissner	0.10579
"Russian Defense Ministry"	0.105481
Bulatovic	0.105307
ISSEL	0.10529
Nebiolo	0.105239
Jovanovic	0.105194
Bakaly	0.105154
Muoi	0.105106
Kinkel	0.105022
Soares	0.105016
Patten	0.104861
"William S. Cohen"	0.104779
Posner	0.104648
"Agence France Presse"	0.104559
Yadav	0.104253
Bonner	0.104239
Iglesias	0.103905
Mowlam	0.103883
Moakley	0.10382
Yilmaz	0.103811
Dar	0.103735
Erbakan	0.103663
Lowery	0.103349
Pustovoitenko	0.10306
"Maung Aye"	0.10303
Kirkpatrick	0.103023
Khai	0.102366
Hasina	0.102316
Izetbegovic	0.102176
Ghalib	0.102081
Camdessus	0.102059
Hersh	0.102011
Chuan	0.101921
Tuberville	0.101753
Moonves	0.101554
Byers	0.101452
al-Baz	0.101348
Warshaw	0.101253
Koskinen	0.101051
"Salim Hoss"	0.100899
Patel	0.10071
Maharaj	0.100673
Santer	0.10064
Rudenstine	0.100609
"Edmund Ho Hau Wah"	0.100565
Bronfman	0.100553
capella	0.100337
Hrawi	0.100303
Misuari	0.100163
))
(Aventis (desc 2119.02) (sims
AstraZeneca	0.173029
"Johnson &AMP; Johnson"	0.133623
"Glaxo Wellcome"	0.130696
YankeeNets	0.120558
Novartis	0.119581
"Oracle Corp."	0.112676
Merck	0.112358
"Union Carbide"	0.105703
Monsanto	0.105557
"American International Group"	0.105373
"EMC Corp."	0.104488
Vivendi	0.10264
"Bertelsmann AG"	0.101872
"AMR Corp."	0.10109
Bertelsmann	0.0999753
"Pfizer Inc."	0.0978348
SFX	0.0972035
Alcatel	0.0971942
Amgen	0.0966254
Genentech	0.0964193
Transmeta	0.0951766
Hoechst	0.0951422
"American Home Products"	0.0950806
"Pharmacia &AMP; Upjohn"	0.0949901
"Symantec Corp."	0.0949892
KPN	0.0946642
Cargill	0.0944667
"Lucent Technologies Inc."	0.0940327
RealNetworks	0.0939743
"Applied Materials"	0.0930303
"Knight Ridder"	0.0929605
"Abbott Laboratories"	0.0927144
"National Grid"	0.0926894
Zeneca	0.0921214
"British Telecom"	0.0915008
Astra	0.0914117
Bayer	0.0913331
"Silicon Graphics"	0.09111
"Enron Corp."	0.0908108
"UAL Corp."	0.0904703
Pfizer	0.0903862
AIG	0.0899741
SAirGroup	0.0897645
Cablevision	0.089013
Roche	0.0882359
"Time Warner Inc."	0.0881061
"News Corp."	0.0868786
"SmithKline Beecham"	0.0858637
BASF	0.0855064
"Halliburton Co."	0.0853936
Warner-Lambert	0.0852073
"General Electric"	0.0850687
ALZA	0.0847381
Wyeth-Ayerst	0.0843405
"WorldCom Inc."	0.0840696
Nortel	0.0840554
"Con Ed"	0.0839762
Ericsson	0.0838608
Sumitomo	0.0837575
Diageo	0.0837507
Marketspan	0.0834218
ENTREMED	0.0834149
Exxon	0.0829742
"Koch Industries"	0.0827242
AMR	0.0824588
Westinghouse	0.0823522
"France Telecom"	0.0821494
Verizon	0.081889
ENTERGY	0.0818799
"Intel Corp."	0.0818636
Unilever	0.0812808
"Cendant Corp."	0.0812247
"Siemens AG"	0.0810062
"Seagram Co."	0.0805857
"Vivendi SA"	0.0805323
Dupont	0.0803553
"Universal Music Group"	0.0802484
"Delphi Automotive Systems"	0.0800653
"SBC Communications"	0.0795108
"Bristol-Myers Squibb"	0.0794145
Seagate	0.0793619
"Computer Associates"	0.0790443
"Legend Group"	0.0790042
"ELF AQUITAINE"	0.0789121
"Travelers Group"	0.078785
PETROBRAS	0.0787658
Nokia	0.0787218
"Barnes &AMP; Noble"	0.0787173
YPF	0.0785437
"Sprint Corp."	0.0781533
"Learning Co."	0.0779456
MCI	0.0778519
EMC	0.0777992
"Cisco Systems"	0.0776772
"Canal Plus"	0.0775823
"GE Capital"	0.0775782
CMGI	0.0770453
"Vodafone AirTouch"	0.0768433
"Singapore Airlines"	0.0760241
Bestfoods	0.0760238
Cisco	0.075877
"Pacific Century Cyberworks"	0.0758153
"Real Networks"	0.0757648
Daimler-Benz	0.0757456
"Eli Lilly"	0.0757223
"Fannie Mae"	0.0755502
"Lockheed Martin"	0.0755429
"General Electric Co."	0.0755141
"Microsoft Corp."	0.0751647
"Dow Corning"	0.0751406
"Electronic Arts"	0.0751072
"jockey club"	0.0749797
"Liberty Media"	0.0745503
DaimlerChrysler	0.0743989
Pepsico	0.0743177
Citigroup	0.073978
Pemex	0.0737613
Goodyear	0.0736939
"Royal Dutch/Shell"	0.0735646
"HBO &AMP; Co."	0.0735021
Bristol-Myers	0.073491
"BP Amoco"	0.0733683
Unisys	0.0732295
"Levi Strauss"	0.0732177
Corning	0.0730237
Telefonica	0.0729946
Lockheed	0.0729661
Livent	0.0729117
KLM	0.072409
VICKERS	0.0723577
"Sun Microsystems Inc."	0.0723042
"Housing Authority"	0.0722848
Hyundai	0.0722015
Comcast	0.0720966
Biogen	0.0720647
Motorola	0.072003
Qualcomm	0.071917
Mobil	0.0713846
"Time Warner"	0.0712243
Checkfree	0.071186
"Viacom Inc."	0.071113
"Vodafone Airtouch PLC"	0.0709024
Emulex	0.0706698
Liggett	0.0706631
"Allied Signal"	0.070606
"Philip Morris"	0.0704935
RJR	0.0704668
CNOOC	0.0703466
Publicis	0.0702913
"Coca-Cola Co."	0.070232
"USA Networks"	0.0701358
"Ford Motor Co."	0.0700241
"Cisco Systems Inc."	0.0699343
Rhone-Poulenc	0.0699228
Symantec	0.0698573
Lukoil	0.0698505
"Sun Microsystems"	0.0697602
SNCF	0.0696493
NORTHROP	0.0695546
"General Motors"	0.0694291
Isuzu	0.0693544
"Compaq Computer"	0.069336
Vodafone	0.0693061
Eni	0.0691679
Corel	0.0691258
"Exxon Corp."	0.0688992
Yukos	0.0686037
"Berkshire Hathaway"	0.0684901
AXA	0.0684883
Thyssen	0.0684708
"P&AMP;G"	0.0684576
"China Telecom"	0.0682318
"Softbank Corp."	0.0682232
McKesson	0.0681689
"Nippon Telegraph"	0.0681436
SmithKline	0.0679844
Pinkerton	0.0679616
emachines	0.0679296
NSC	0.0678668
Arianespace	0.067792
"Media Partners"	0.0677103
Lucent	0.0675497
"Philip Morris Cos."	0.0674747
"Boston Scientific"	0.0674563
Enron	0.0672062
Renault	0.067011
Intuit	0.0669817
CitySearch	0.0669285
Lycos	0.0666783
IDG	0.0665682
PolyGram	0.0663754
Texaco	0.0663576
"Con Edison"	0.0662444
PEOPLESOFT	0.0661841
"Chevron Corp."	0.0661559
KPMG	0.0657209
"Transport Ministry"	0.0657148
Chevron	0.0656645
"Smith &AMP; Wesson"	0.0656315
MindSpring	0.0656098
))
(avenue (desc 48445.1) (sims
street	0.153178
boulevard	0.138755
"main street"	0.132702
thoroughfare	0.130772
"Fifth Avenue"	0.123764
"Seventh Avenue"	0.109967
Broadway	0.104568
Ave	0.0996898
road	0.095013
square	0.0944582
highway	0.0938244
St.	0.0913104
"Eighth Avenue"	0.0900791
freeway	0.0860737
"Pennsylvania Avenue"	0.0818262
sidewalk	0.0809651
park	0.0797241
plaza	0.078797
intersection	0.0780111
"Interstate @@"	0.0775117
expressway	0.0770565
"main road"	0.0753618
bridge	0.0746132
"Madison Avenue"	0.0739306
corridor	0.0738802
mall	0.0736211
path	0.0731278
Champs-Elysees	0.0718936
route	0.0718216
"Highway @@@"	0.0702342
"Park Avenue"	0.070104
lane	0.0688042
campus	0.0636835
I-@@	0.063636
roadway	0.062944
runway	0.0618821
beach	0.0615373
"shopping center"	0.0609462
tunnel	0.0606862
"Route @@"	0.0606602
fairway	0.0598673
channel	0.0592354
building	0.0592083
waterfront	0.0591034
opportunity	0.0590474
"Highway @@"	0.0587678
restaurant	0.0581535
Canal	0.0578765
"parking lot"	0.0573535
hotel	0.0572414
"subway station"	0.0571683
neighborhood	0.0571073
motorway	0.0566088
Alley	0.056569
museum	0.0563214
"business district"	0.0562421
shop	0.056073
theater	0.0557364
means	0.055263
"shopping mall"	0.0551263
cemetery	0.0549789
pier	0.0546671
downtown	0.0546618
artery	0.0545898
"Times Square"	0.0544274
"Route @@@"	0.0542577
"ring road"	0.0542123
walkway	0.0540836
store	0.0539343
monument	0.053695
floor	0.0536618
hall	0.0532025
Vista	0.0530722
cafe	0.052943
subway	0.0529048
waterway	0.0528924
garden	0.0528834
airport	0.0528483
complex	0.0527554
boardwalk	0.0524284
promenade	0.0522208
aisle	0.0520403
room	0.0519697
hill	0.0517758
"rail line"	0.0514599
outlet	0.0512538
venue	0.0510247
"railway station"	0.0507985
Tower	0.0507886
possibility	0.0506168
"Hudson River"	0.0505111
"opera house"	0.0504255
gate	0.0501849
attraction	0.0498268
river	0.0497846
"railway line"	0.049397
library	0.0493585
option	0.0491995
"Route @"	0.0489971
Parkway	0.0489437
stadium	0.0487973
apartment	0.0487714
mechanism	0.0484125
location	0.0483823
courtyard	0.0482715
"east side"	0.0482423
lake	0.0481851
terminal	0.0480974
space	0.047902
"access road"	0.0478569
alternative	0.0477681
"Tiananmen Square"	0.0477162
"railroad track"	0.0474439
"west side"	0.0473872
"concert hall"	0.0471838
district	0.046968
"office building"	0.04693
mansion	0.0469266
station	0.0469171
causeway	0.046841
passageway	0.0466864
entrance	0.0465475
hallway	0.0465271
landmark	0.0463131
turnpike	0.0462814
sanctuary	0.0459801
playground	0.0459699
pathway	0.045906
railway	0.0458637
corner	0.0458518
section	0.0454205
gallery	0.0454142
Cathedral	0.0453987
checkpoint	0.0453442
potential	0.0450942
skyline	0.045087
village	0.045077
lawn	0.0449536
grader	0.0448817
facility	0.0446733
skyscraper	0.0443066
horizon	0.0442996
precinct	0.0441874
window	0.0441041
destination	0.0440039
crossing	0.0437414
"port of entry"	0.0437187
Madison	0.0436436
"golf course"	0.0435325
forum	0.0435281
inn	0.0435229
ramp	0.0435129
festival	0.043486
property	0.0434057
terrace	0.0432913
landscape	0.0432218
storefront	0.0428975
garage	0.042723
"office space"	0.0426458
Gateway	0.0426331
studio	0.0424803
"post office"	0.042369
outskirt	0.0422703
temple	0.0422298
driveway	0.0422246
church	0.0421226
method	0.0419099
coast	0.0417764
hole	0.0416338
mosque	0.041629
haven	0.0416262
mountain	0.0415164
suburb	0.041416
palace	0.0413236
bookstore	0.0412016
prospect	0.0411811
ways	0.0411761
harbor	0.0411155
wall	0.0410068
hospital	0.0409472
"apartment building"	0.040938
"department store"	0.0408869
"amusement park"	0.0408221
conduit	0.0408125
valley	0.0407858
traffic	0.0405089
boutique	0.0405008
embankment	0.0404796
arena	0.0404159
phase	0.0404146
county	0.0403175
"Upper West Side"	0.0403135
prerequisite	0.0402676
"city hall"	0.0402356
"train station"	0.0402069
"exhibition hall"	0.0401997
Warehouse	0.0400752
compound	0.04004
ranch	0.0400399
))
(average (desc 182443) (sims
total	0.187505
index	0.180513
rate	0.170396
"batting average"	0.159169
Dow	0.155351
percentage	0.145648
industrials	0.143278
"growth rate"	0.14113
record	0.133322
price	0.132916
level	0.131119
high	0.130492
maximum	0.124887
Nasdaq	0.123403
increase	0.11846
income	0.117622
"inflation rate"	0.1175
low	0.115919
gain	0.115654
output	0.114828
minimum	0.114702
ratio	0.114334
"S&AMP;P"	0.114061
rating	0.113187
"Dow Jones Industrial Average"	0.113091
earnings	0.111951
figure	0.108951
salary	0.108777
estimate	0.105911
revenue	0.105731
number	0.104194
Composite	0.103981
"unemployment rate"	0.103345
volume	0.103255
amount	0.102819
"about @@ percent"	0.10196
dollar	0.100699
margin	0.0999171
growth	0.0993495
"percentage point"	0.0984552
value	0.0978568
cost	0.0972964
RBI	0.0969365
"about @ percent"	0.0959121
yield	0.0957914
deficit	0.09524
sale	0.0952053
profit	0.0945049
GDP	0.0943236
Nikkei	0.0927584
lowest	0.0920065
forecast	0.0906725
score	0.0903986
drop	0.0898565
"five percent"	0.089755
turnover	0.0896811
"consumer price index"	0.0896508
rise	0.0895943
loss	0.089399
"retail price"	0.089152
share	0.0889304
"Hang Seng Index"	0.0884856
"lower than"	0.0883536
"net income"	0.0881111
"one percent"	0.0878265
strikeout	0.0873181
inflation	0.0870337
highest	0.0867238
payroll	0.0863094
"home run"	0.0862411
"six percent"	0.0848961
"rate of inflation"	0.0848262
"about @.@ percent"	0.0847646
decline	0.0841495
"three percent"	0.0832679
run	0.0829315
game	0.082637
wage	0.0819635
stock	0.0819035
attendance	0.0818376
third	0.0818196
"gross domestic product"	0.0814231
export	0.0803974
mark	0.0802952
"four percent"	0.0801374
overall	0.0799371
peak	0.0795736
"average cost"	0.0793488
"seven percent"	0.0790168
premium	0.077781
"nine percent"	0.077355
period	0.0773044
expenditure	0.076912
half	0.0768188
era	0.0765579
"eight percent"	0.0763678
more	0.076032
goal	0.0757834
quarter	0.0756701
decrease	0.0754467
fee	0.074997
sum	0.0748224
"two percent"	0.0747332
import	0.0746728
"stock market"	0.0745694
market	0.0743577
last	0.0741135
"bond price"	0.0740807
shutout	0.0739226
each	0.073918
hit	0.0738277
year	0.0733521
"oil price"	0.0732654
"retail sale"	0.0730571
equivalent	0.0730447
indicator	0.0729935
"interest rate"	0.0727356
target	0.072548
consumption	0.0724584
population	0.0723356
normal	0.071786
"market share"	0.0717759
projection	0.0714333
second	0.0713816
production	0.0708935
touchdown	0.070781
spending	0.07072
at-bat	0.0705643
"trade deficit"	0.0704954
point	0.0704448
median	0.0704161
Six	0.0703704
investment	0.0699934
"net profit"	0.0698271
"market value"	0.0696117
percent	0.0693995
"trade surplus"	0.069372
double	0.0693629
pace	0.069307
"mortality rate"	0.0692874
unemployment	0.0689419
"death rate"	0.0686013
seven	0.0685402
cent	0.0685207
capacity	0.0682819
"nearly @@"	0.0681869
"occupancy rate"	0.0681748
Stocks	0.0681652
same	0.068153
worth	0.068022
expectation	0.0677428
lower	0.0676729
ranking	0.0676485
streak	0.0675301
inning	0.0673073
temperature	0.0672731
performance	0.0671995
Five	0.067143
standard	0.0669389
ruble	0.0666954
surplus	0.0666648
enrollment	0.0666395
"birth rate"	0.0665819
budget	0.0665118
grade	0.0664298
"earning per share"	0.0663853
four	0.0657006
turnout	0.0656746
bonus	0.0656406
victory	0.0655475
eight	0.0654801
"closing price"	0.0652764
annual	0.0652592
"more than @@"	0.0649666
jump	0.0649052
Three	0.0645875
fraction	0.0645443
fare	0.0643524
fifth	0.0642852
return	0.0641768
limit	0.064037
"life expectancy"	0.0636152
time	0.0633087
saving	0.0632821
nine	0.0630578
two	0.06303
most	0.0629926
team	0.06293
"pretax profit"	0.062754
dlrs	0.0626095
benchmark	0.0625414
"budget deficit"	0.0623056
"about $@@"	0.0622419
one-third	0.0621618
rebound	0.062153
homer	0.0621138
"minimum wage"	0.0619589
payment	0.0618904
Gross	0.0614196
result	0.0614184
))
("average cost" (desc 7626.9) (sims
"list price"	0.181992
"retail price"	0.179944
"selling price"	0.134997
"purchase price"	0.12316
"sticker price"	0.119168
"production cost"	0.115666
"price tag"	0.11006
"asking price"	0.108304
"gross income"	0.105515
"net income"	0.103467
savings	0.100848
"face value"	0.0933865
payout	0.0925847
"poverty rate"	0.0902602
"earning per share"	0.0897191
premium	0.0880531
"take-home pay"	0.0876542
"market value"	0.0875781
maximum	0.0854801
Tuition	0.0832151
"bid price"	0.0831837
"book value"	0.0810759
"operating cost"	0.0805111
"entrance fee"	0.0796079
salary	0.0791236
median	0.0786579
"turnover rate"	0.0776905
"labor cost"	0.0774958
"electric bill"	0.0765692
expense	0.0756114
"minimum wage"	0.075547
minimum	0.0754127
Fares	0.0743027
"elephant population"	0.0742169
"occupancy rate"	0.0740774
"fertility rate"	0.0735216
wage	0.0732766
expenditure	0.0712702
stipend	0.0711893
"death rate"	0.0709834
tab	0.0708339
caseloads	0.0707951
"gas price"	0.0704902
"noise level"	0.0697278
"tax liability"	0.0694034
"marketing cost"	0.0688723
"gross national product"	0.0683905
"service charge"	0.0677794
"annual payment"	0.0677443
"poverty line"	0.0672236
outlay	0.067189
"asset value"	0.0666828
"life expectancy"	0.0663804
"birth rate"	0.0659133
caseload	0.0658969
"retail price index"	0.0643423
"operating budget"	0.0635869
"upper limit"	0.0635199
"tax income"	0.0630628
"unemployment rate"	0.0628267
"record price"	0.0625551
ridership	0.0617576
"steel production"	0.0617189
capitalization	0.0617135
rental	0.0616102
"crime rate"	0.0615198
payroll	0.0614617
"rate of inflation"	0.0612871
"insurance premium"	0.0610017
"inflation rate"	0.0603664
saving	0.0601419
"rate of growth"	0.0597787
"tax rate"	0.0596752
"tax bill"	0.0593336
"heart rate"	0.0592637
"offering price"	0.0591634
GDP	0.0590352
pension	0.0588755
PRICETAG	0.0584915
subscription	0.0580957
"mortality rate"	0.058047
"production capacity"	0.0579317
"cost of living"	0.0575315
consumption	0.0573969
"personal income"	0.0566536
enrolment	0.0564093
co-payments	0.0560726
gallon	0.0559538
"net profit"	0.0558239
density	0.0554802
"flow rate"	0.0553149
receipt	0.0546624
co-payment	0.0546188
"factory order"	0.0543912
"bank rate"	0.0541214
paycheck	0.0541109
Sensex	0.0537705
birthrate	0.0534347
"closing price"	0.0533111
"admission price"	0.0529553
"medicare payment"	0.052627
"operating expenses"	0.052527
"interest expense"	0.0524737
deduction	0.0523872
incidence	0.0522041
NPLs	0.0521082
"phone bill"	0.0520677
"mortgage rate"	0.052041
"body temperature"	0.0519797
prevalence	0.0519226
ratio	0.051785
"vacancy rate"	0.0517269
"admission fee"	0.0515215
STI	0.0514209
rebate	0.0513437
purse	0.0512651
dosage	0.0512183
surcharge	0.0506301
refund	0.0504223
"population density"	0.0503205
"vehicle sale"	0.0503086
"gross domestic product"	0.0498895
"down payment"	0.0498883
"retirement age"	0.049812
"profit margin"	0.0498106
"growth rate"	0.0495746
"voter turnout"	0.0495466
"consumer price index"	0.049246
"pretax profit"	0.0491418
"budget deficit"	0.0489355
"Straits Times Industrials Index"	0.0486952
"oil production"	0.048591
mutuel	0.0485496
"national income"	0.0485067
"tax credit"	0.0484931
inventory	0.0484076
acreage	0.048196
"market penetration"	0.0479641
"Philippine Stock Exchange Index"	0.047955
increment	0.0477688
joblessness	0.0477078
allowance	0.0476767
capitalisation	0.0475352
"trade deficit"	0.0473167
allotment	0.047277
enrollment	0.046941
"water table"	0.0468995
"interest payment"	0.0468843
"retail sale"	0.0468207
"offer price"	0.046562
"Social Security benefit"	0.0463297
accumulation	0.0462803
"Tokyo Stock Price Index"	0.0461626
"non-performing loans"	0.0457178
"market share"	0.0456814
"relative humidity"	0.045601
occupancy	0.0454513
"funds rate"	0.0453935
"standard of living"	0.0452646
C-section	0.0452404
"cost structure"	0.0451897
lifespan	0.0449541
Tonnage	0.0449374
"living space"	0.0447868
"capital gain"	0.0447056
"water level"	0.0446595
"tax bracket"	0.0444377
backlog	0.0444068
"borrowing cost"	0.0443831
BMI	0.0443224
stockpile	0.0442751
resale	0.0442641
"producer price"	0.0442495
valuation	0.0441739
viewership	0.0440915
"Commonwealth Bank"	0.04399
"dollar amount"	0.043974
indices	0.043969
threshold	0.0438865
"capital expenditure"	0.0438618
probability	0.043685
airfare	0.0436274
productivity	0.0434615
appropriation	0.0434559
absenteeism	0.043373
cutoff	0.0433067
reimbursement	0.0432035
phase-out	0.0430647
CPI	0.0427466
"ordinary shares"	0.0426691
"one ton"	0.0425799
"Nikkei Stock Average"	0.0425664
booking	0.0424912
dividend	0.0424672
"production ceiling"	0.0423477
availability	0.0420518
liter	0.0420372
overpayment	0.041926
"pretax charge"	0.0419026
"discount rate"	0.0418553
))
(aversion (desc 10264.6) (sims
antipathy	0.0860793
reluctance	0.0850421
sensitivity	0.0811938
distaste	0.0794238
"inferiority complex"	0.0750069
ambivalence	0.0704715
Addiction	0.0698235
affinity	0.0692532
reaction	0.0685895
dislike	0.0681532
inattention	0.0659694
eagerness	0.0657979
reticence	0.0648402
objection	0.0642302
desire	0.0641117
insecurity	0.0638101
propensity	0.0634823
willingness	0.0631141
distrust	0.0625259
unwillingness	0.0618729
weariness	0.0618519
devotion	0.061826
wariness	0.0617788
indifference	0.0617158
nervousness	0.0607036
apathy	0.060072
resistance	0.0598893
disenchantment	0.059351
receptivity	0.0579953
inclination	0.0573449
shyness	0.0571423
"identity crisis"	0.056694
tendency	0.0566606
skittishness	0.0566348
resemblance	0.0560436
exposure	0.0549257
attachment	0.0546182
misgiving	0.053918
disillusionment	0.0538664
hostility	0.0538409
unease	0.0535583
fondness	0.0535435
skepticism	0.0533108
mistrust	0.053236
allegiance	0.0529266
fascination	0.0527064
dedication	0.0526165
vulnerability	0.052284
disdain	0.0522159
ignorance	0.0517808
affection	0.0516872
cynicism	0.0516517
bitterness	0.0513702
antagonism	0.0512328
inability	0.0506569
prejudice	0.0506361
"first exposure"	0.0503043
disinterest	0.0502744
reverence	0.0499965
anxiety	0.0494931
adjunct	0.0494389
tolerance	0.048909
obsession	0.0488878
preference	0.048666
hang-up	0.0485031
familiarity	0.0484972
admiration	0.0483781
obeisance	0.0483751
determination	0.04818
penchant	0.0472898
zeal	0.0471755
disapproval	0.0467307
hesitancy	0.0466336
enthusiasm	0.0464416
loyalty	0.0464299
allusion	0.0460996
astonishment	0.045898
uneasiness	0.0458816
animosity	0.0458743
backlash	0.045858
allergy	0.0456191
unpopularity	0.0452844
insensitivity	0.0452149
angst	0.0448189
impulse	0.0447957
empathy	0.0446488
unhappiness	0.0445359
appetite	0.0442857
revulsion	0.0442802
"sense of duty"	0.0442421
infatuation	0.0442187
impatience	0.0442084
anomaly	0.0440931
loathing	0.043839
myopia	0.0437979
antidote	0.0437066
reversion	0.0436434
urgency	0.0436367
Openness	0.0434376
pessimism	0.0433997
buoyancy	0.0433078
phobia	0.043264
retardation	0.0432323
downside	0.0430987
scarcity	0.0428917
inhibition	0.0428758
"carte blanche"	0.042806
enmity	0.0428005
weakness	0.0427103
disaffection	0.0426812
misperception	0.0423978
dissatisfaction	0.0423625
hunger	0.0422278
persistence	0.0421673
compulsion	0.042138
discontent	0.0419867
resentment	0.0417215
deafness	0.0416987
ambition	0.0416164
timidity	0.041589
disappointment	0.0415545
similarity	0.041535
bias	0.0415237
impediment	0.041225
snobbery	0.0411895
"split personality"	0.0411676
yearning	0.0409553
compassion	0.040839
divergence	0.0408082
resilience	0.0407992
peccadillo	0.0407796
delusion	0.0406522
fetish	0.0405563
dismay	0.0405154
indebtedness	0.0403802
animus	0.0401402
proclivity	0.0400793
exasperation	0.0400646
))
(Avery (desc 7113.06) (sims
"William Avery"	0.149844
Mercker	0.13628
Harnisch	0.131414
Saberhagen	0.131118
Belcher	0.129515
Radke	0.129009
Woodard	0.128302
Bottenfield	0.12651
Moehler	0.124088
Nagy	0.122891
Pavano	0.118745
Langdon	0.118514
Weinke	0.117564
Trachsel	0.116851
Moyer	0.113786
El-Amin	0.11086
Sele	0.107496
Hershiser	0.10724
Daal	0.107187
Dempster	0.106744
Millwood	0.106501
Halama	0.105723
Mlicki	0.104778
Bibby	0.104497
Reynoso	0.104441
Gooden	0.104418
Fassero	0.104414
Schourek	0.104225
Hentgen	0.103485
Tapani	0.103479
Neagle	0.103093
Irabu	0.102912
Wakefield	0.10239
Gagne	0.1023
Bohanon	0.102
Kile	0.101944
Smoltz	0.101394
"Elton Brand"	0.100684
Burkett	0.100507
Rueter	0.10048
Checo	0.100266
Wasdin	0.0993362
Lieber	0.0987914
Pettitte	0.098502
Borbon	0.0970687
Candiotti	0.0968332
Wohlers	0.0967237
Finley	0.0967027
Erickson	0.0962984
Appier	0.0957852
Maddux	0.0956333
Meche	0.0951922
Elarton	0.0951769
Glavine	0.0950528
Witt	0.0937779
Hawkins	0.0933839
Dreifort	0.0931749
Laettner	0.0930312
Yoshii	0.0928893
Harkes	0.0928409
Rusch	0.0925968
Benes	0.0925729
Nomo	0.0917361
Gardner	0.0914543
Burba	0.091316
Loaiza	0.0912075
Mulholland	0.0907261
Mussina	0.0903324
Helling	0.0889479
Glover	0.0885904
Parris	0.0882028
Mantei	0.0876613
Petkovsek	0.0874571
Stottlemyre	0.0874333
Schilling	0.0873346
Arrojo	0.0870343
Hermanson	0.0866353
Perisho	0.0865015
Yarnall	0.0864447
Haynes	0.0864347
Leiter	0.0858649
Rapp	0.0858145
Zimmerman	0.0847779
Plummer	0.0847652
Stephenson	0.0846496
Cloude	0.0846401
Fizer	0.0844035
Odom	0.084089
Dickson	0.0834884
Osuna	0.0833909
Meadows	0.0832046
Astacio	0.0827149
estes	0.0827055
Eldred	0.0825899
Garrett	0.0819521
Elliott	0.0815498
McNabb	0.080993
Savarese	0.0802241
Valdes	0.0801459
Crawford	0.0800318
Percival	0.0793851
Tomko	0.0793684
Watson	0.0790854
Hernandez	0.07906
"Van Raaphorst"	0.0790269
Griese	0.0789713
Olivares	0.0787703
Schmidt	0.0786178
"Baron Davis"	0.0785943
Baldwin	0.0784282
Hendrickson	0.0784273
Remlinger	0.0777908
Abbott	0.0776183
Ankiel	0.077584
Manning	0.0774785
Schoeneweis	0.0774466
Crabtree	0.0773382
"Steve Avery"	0.0772824
Rogers	0.0772076
Szczerbiak	0.0770181
Mahomes	0.0769824
Iverson	0.076929
D'Amico	0.0768137
Bere	0.0767634
Hampton	0.0766222
Wetteland	0.0765736
Francis	0.0764002
Hamilton	0.0763838
"Khalid El-Amin"	0.0762909
Underwood	0.0761331
Mendoza	0.0760736
Ortiz	0.0760705
Simms	0.0760129
"Trajan Langdon"	0.0759527
Cleaves	0.0759467
Saunders	0.0757966
MARBURY	0.0757055
Baerga	0.0756649
Vazquez	0.0755954
Clemens	0.0755925
Lobo	0.0754563
Wheatley	0.0749306
Carr	0.0744169
Wiggins	0.0743694
"JaRon Rush"	0.0743275
Olson	0.0742603
"Jeff Weaver"	0.0742323
STALEY	0.0741017
Graziani	0.0739534
Dotel	0.0736137
Faulk	0.0729819
Wells	0.0726103
"Eric Milton"	0.0723579
Henson	0.0718975
Gretzky	0.0717695
Beltre	0.0716707
Ramon	0.0714915
Rojas	0.0714797
Hardaway	0.0713148
Murrell	0.0712433
"Corey Maggette"	0.0711342
Blake	0.0710953
Lindros	0.0710025
Randy	0.0709367
Holdsclaw	0.0709118
Harper	0.0708958
Mullin	0.0708712
Smits	0.0708682
Tim	0.0706939
Flutie	0.0706331
Perez	0.0706025
Glynn	0.0703831
Wadsworth	0.0701685
Irvin	0.0700694
Laudrup	0.069798
Wendell	0.0695209
Peterson	0.069478
Reynolds	0.069404
Dickerson	0.0693794
Holt	0.0692345
Ashby	0.0691877
Casey	0.0690534
McDaniel	0.0689633
Guthridge	0.0688805
Shaw	0.0688145
Paus	0.0688071
Cummings	0.0686927
Marino	0.0686587
Upshaw	0.0685287
Nowitzki	0.0684617
Cooper	0.0683832
Vick	0.0682896
McCown	0.0682575
Wyatt	0.0681992
"Brian Anderson"	0.0681613
Guzman	0.0681402
Redd	0.0679937
Kidd	0.067931
Passarella	0.0678639
Sanchez	0.0678381
))
("Avery Fisher Hall" (desc 2562.83) (sims
"Alice Tully Hall"	0.325529
"Carnegie Hall"	0.225948
"Walter Reade Theater"	0.219769
"Metropolitan Opera House"	0.208824
"Joyce Theater"	0.157988
"Cooper Union"	0.143586
"Brooklyn Academy of Music"	0.139852
"Film Forum"	0.138337
"New York State Theater"	0.134251
"Radio City Music Hall"	0.131412
"Dorothy Chandler Pavilion"	0.129088
"Mount Sinai Medical Center"	0.117569
"Symphony Hall"	0.110899
"Waldorf-Astoria Hotel"	0.104828
"Manhattan Theater Club"	0.101607
"Shrine Auditorium"	0.096335
"town hall"	0.095167
"Kennedy Center"	0.0949211
"Whitney Museum of American Art"	0.0935996
"Metropolitan Opera"	0.0934132
Tanglewood	0.0916448
"Memorial Sloan-Kettering Cancer Center"	0.0902769
"Lincoln Center Festival"	0.0887423
"Juilliard School"	0.0830751
"La Scala"	0.0817429
"Lincoln Center"	0.0813764
Tabernacle	0.0784852
"Wembley Stadium"	0.0777167
"city center"	0.0772484
"Riverside Church"	0.0766644
"U.N. Headquarters"	0.0764505
"Rockefeller University"	0.0732608
"Continental Airlines Arena"	0.0715403
met	0.0708453
"National Press Club"	0.0700114
"Madison Square Garden"	0.0686967
"World AIDS Conference"	0.0682997
"Radio City"	0.0679376
"Mount Sinai Hospital"	0.0667349
"Apollo Theater"	0.0661345
"Jewish Museum"	0.065367
"Memorial Stadium"	0.0647683
"Millrose Games"	0.0647079
"Museum of Modern Art"	0.0644801
"Sheraton Hotel"	0.0635358
"P.S @@@"	0.0633177
"Barnard College"	0.062437
"New York City Opera"	0.061556
"American Museum of Natural History"	0.0607128
"Turner Field"	0.0602836
"Sundance Film Festival"	0.0601444
"Solomon R. Guggenheim Museum"	0.0592831
"Hunter College"	0.0580367
"Royal National Theater"	0.0577564
"Arizona State University"	0.0575985
"Cinergy Field"	0.0575824
Waldorf-Astoria	0.0569843
"Busch Stadium"	0.0569151
"Shea Stadium"	0.05688
"Reunion Arena"	0.0568459
"City College"	0.0561428
"Great Hall"	0.0558645
"John F. Kennedy School of Government"	0.0558252
"Corcoran Gallery"	0.0557006
"concert hall"	0.055352
"National Tennis Center"	0.0545652
"Omnicom Group"	0.0544757
"Fordham University"	0.0542888
"Giants Stadium"	0.0539662
Roxy	0.0539427
"Grammy Awards"	0.0536997
"National Theater"	0.0536682
"Public Theater"	0.0536058
"Metropolitan Museum of Art"	0.0534276
"Lincoln Memorial"	0.0533114
"Royal Opera House"	0.0532347
"Polo Grounds"	0.0528408
"American Dance Festival"	0.0520646
"Lone Star Park"	0.0517348
"Bryant Park"	0.0512324
"Olympic Village"	0.050806
"Wrigley Field"	0.050715
"Valley Ranch"	0.0504802
"Veterans Stadium"	0.0503449
"Methodist Hospital"	0.0500342
Joyce	0.0499147
Sundance	0.0498856
"Plaza Hotel"	0.0496851
"Pac Bell Park"	0.0492105
"Olympic Stadium"	0.0489394
"Edison Field"	0.0489389
"Piedmont Hospital"	0.0483006
Fenway	0.0482403
"RFK Stadium"	0.0482246
Grambling	0.0481505
Omni	0.0479538
"voting machine"	0.0474917
"Market Square Arena"	0.0470508
"about @:@@"	0.046994
"Lipton Championships"	0.0469342
Grammys	0.0468665
"Democratic National Convention"	0.0466034
"Chase Manhattan Bank"	0.0462725
multiplex	0.0460392
"Dodger Stadium"	0.0459982
"UC Irvine"	0.0457892
"National Museum"	0.0450448
Carnegie	0.0450439
"World Trade Center"	0.0449237
"Kennedy International Airport"	0.0445546
"Candlestick Park"	0.0443713
"Camp LeJeune"	0.0441904
"Grand Central Terminal"	0.0440784
"New York Film Festival"	0.0439447
"Public School @@@"	0.0437782
"Georgia State"	0.0432432
"Council on Foreign Relations"	0.0427577
"main office"	0.0427391
"U.N. Millennium Summit"	0.0420921
"auction block"	0.0416678
"Massachusetts General Hospital"	0.0414886
"school of music"	0.0414179
"Kennedy School"	0.0413989
"Cannes Film Festival"	0.0411368
"Republican National Convention"	0.0400399
))
("Avery Johnson" (desc 3914.93) (sims
"Mario Elie"	0.347851
"Sean Elliott"	0.327586
"Jerome Kersey"	0.277655
"Jaren Jackson"	0.252187
"Antonio Daniels"	0.227282
"David Robinson"	0.218625
"Steve Kerr"	0.20712
"Terry Porter"	0.187768
"Will Perdue"	0.179161
"Sam Cassell"	0.171172
"Malik Rose"	0.162367
"Tim Duncan"	0.159118
"B.J Armstrong"	0.154796
Elie	0.151976
"John Stockton"	0.13936
"Brevin Knight"	0.135903
"Chauncey Billups"	0.1339
"Terrell Brandon"	0.133704
"Stephon Marbury"	0.132404
"Scoonie Penn"	0.129721
"Eric Snow"	0.127997
"Twin Towers"	0.126771
"Sherman Douglas"	0.125888
"Clyde Drexler"	0.124434
"Ron Harper"	0.124333
"Tim Hardaway"	0.122825
"Nick Van Exel"	0.121143
"Michele Timms"	0.121103
"Mike Bibby"	0.119615
"Darrick Martin"	0.119287
"Gary Payton"	0.117519
"Glenn Robinson"	0.117373
"Ray Allen"	0.116163
"Khalid El-Amin"	0.115015
"David Wesley"	0.113012
"Brandon Granville"	0.112841
"Damon Stoudamire"	0.112267
"Darrell Armstrong"	0.112227
"Eric Murdock"	0.111832
"Kim Perrot"	0.111278
"Derek Fisher"	0.110483
"Charlie Ward"	0.109285
"Eddie Jones"	0.108711
"Penny Hardaway"	0.108683
"Keith Van Horn"	0.10814
"Jason Kidd"	0.107503
"Kevin Garnett"	0.106987
"Howard Eisley"	0.106952
"Kenny Anderson"	0.106382
"Rod Strickland"	0.105666
"Teresa Weatherspoon"	0.105452
"Matt Santangelo"	0.103387
"Anthony Johnson"	0.103302
"Travis Best"	0.102156
"Kerry Kittles"	0.102063
"Wayne Turner"	0.101612
"George McCloud"	0.1005
"Steve Nash"	0.0998968
"Andre Miller"	0.0973229
"Hakeem Olajuwon"	0.0968361
"Erick Barkley"	0.0965399
"Allen Iverson"	0.0961059
"Rex Chapman"	0.0956202
"Alonzo Mourning"	0.0952488
"Reggie Miller"	0.0934148
"Allan Houston"	0.0926916
Longley	0.0920798
"Greg Anthony"	0.0917363
"Derek Harper"	0.0916972
"Jason Williams"	0.0908597
"Mark Jackson"	0.0902507
"Jason Terry"	0.0902286
"Mitch Richmond"	0.0896854
"Malik Sealy"	0.0882819
"Mookie Blaylock"	0.0882718
"Nikki McCray"	0.0879286
"Earl Watson"	0.0876984
MARBURY	0.0872405
"Grant Hill"	0.0867126
"Chris Childs"	0.0864987
"Mateen Cleaves"	0.0862839
"Antonio McDyess"	0.0858455
"Derek Anderson"	0.0856634
"Charles Barkley"	0.0852832
"Robert Pack"	0.0852705
"Doug Christie"	0.0850652
"Jamal Mashburn"	0.0846617
"Robert Horry"	0.0845817
"Othella Harrington"	0.0839171
"Michael Redd"	0.082537
"Shandon Anderson"	0.0820718
"Roger Staubach"	0.0814669
"Isaiah Rider"	0.0814329
"Van Horn"	0.081375
"Ron Mercer"	0.0810649
"Anfernee Hardaway"	0.0808485
"Jim Jackson"	0.0806155
Timms	0.0804192
"Tyronn Lue"	0.0798146
"Eric Piatkowski"	0.0794342
"Steve Francis"	0.0790803
"Jalen Rose"	0.0789951
duncan	0.078572
"Cynthia Cooper"	0.0785113
"Shaquille O'Neal"	0.0781864
"Dan Majerle"	0.0773937
"Michael Finley"	0.0768887
"Dawn Staley"	0.0768086
"Hu Weidong"	0.0765591
"Mark Williams"	0.0764948
"Ricky Moore"	0.0764764
"Karl Malone"	0.0761841
"Kobe Bryant"	0.0760915
Elliott	0.075913
"Hersey Hawkins"	0.0757821
"William Avery"	0.0755624
"Nick Anderson"	0.0744542
"Jimmy Oliver"	0.0743925
"Jerry Stackhouse"	0.0740694
"Baron Davis"	0.0740305
"Scottie Pippen"	0.0736542
"Ryan Bailey"	0.0735905
"Shammond Williams"	0.0732152
"Steve Smith"	0.0728517
"Jeff Hornacek"	0.0722225
Kidd	0.0717226
"Bobby Phills"	0.0716127
Garnett	0.0714966
"Michael Dickerson"	0.0712874
Cleaves	0.0712517
"Bimbo Coles"	0.0710745
"Bryce Drew"	0.0708871
"Eddie House"	0.0704299
"Rick Fox"	0.0703783
"Joe Dumars"	0.0702571
"Tracy McGrady"	0.0702021
"Vin Baker"	0.0701339
"Matt Maloney"	0.0700834
"Kevin Johnson"	0.0698359
"Chris Gatling"	0.0694292
"Bonzi Wells"	0.0694258
"Jeff Trepagnier"	0.069295
"Antoine Walker"	0.0690964
"Doc Rivers"	0.0686067
"Kendall Gill"	0.0685365
Sasser	0.0680589
"Bruce Matthews"	0.0680114
"Chris Webber"	0.0679758
"Marcus Camby"	0.0678637
Trepagnier	0.0676697
"Ukari Figgs"	0.0673618
"Sam Mack"	0.0671795
El-Amin	0.0670542
"Glen Rice"	0.0664723
"Larry Hughes"	0.0660634
"Bob Sura"	0.0651574
Kerr	0.065001
"Richard Hamilton"	0.0646319
Andreychuk	0.0644015
"Cliff Robinson"	0.0643256
"Derrick Coleman"	0.064113
"Randy Brown"	0.0635054
"Matt Bullard"	0.0627898
"Tariq Abdul-Wahad"	0.0621895
"Mark Bryant"	0.0621853
"Toni Kukoc"	0.0619192
"Luc Longley"	0.0617776
"Latrell Sprewell"	0.0615625
"Dion Glover"	0.0611344
STALEY	0.0610459
"Vernon Maxwell"	0.0610275
"Brian Shaw"	0.0608831
Cota	0.0600166
"Trajan Langdon"	0.0597846
"A.C. Green"	0.0597053
Dougherty	0.0594711
"Shareef Abdur-Rahim"	0.0592255
"Samaki Walker"	0.0590318
Okada	0.0587936
"Isiah Thomas"	0.0586598
Mobley	0.0585431
Skiles	0.0584389
Gogel	0.0583939
"Dale Davis"	0.0583788
"Cuttino Mobley"	0.0582591
Stackhouse	0.0573891
Croshere	0.0573153
"Arvydas Sabonis"	0.057245
"Jayson Williams"	0.0571071
Mihm	0.0570047
Barros	0.0569435
Hornacek	0.0566095
"Voshon Lenard"	0.0565354
Mashburn	0.0564688
"Paul Pierce"	0.0563721
"P.J Brown"	0.0562111
Yzerman	0.0559812
Hoch	0.0557826
"Dominique Wilkins"	0.0553685
Scoonie	0.0550751
))
(Aviano (desc 4336.04) (sims
Incirlik	0.257031
Kitona	0.188286
Vicenza	0.142223
"air base"	0.127908
Kindu	0.1165
Paphos	0.113638
Pisa	0.100974
Cavalese	0.0975737
Catania	0.0968135
Guantanamo	0.0921335
airbase	0.0904293
Diyarbakir	0.0876944
"Miami International Airport"	0.0851796
Dhahran	0.0835692
"Kennedy Airport"	0.0813577
Trieste	0.0809924
"Okinawa Prefecture"	0.077786
Manta	0.0772081
"Subic Bay"	0.0761697
Tuzla	0.0758697
"Camp Pendleton"	0.0746909
"Fort Bragg"	0.0745434
"Kinder Bologna"	0.0741379
Stansted	0.0737212
Entebbe	0.0712212
Liuzhou	0.0695559
"San Francisco International Airport"	0.0685886
"Newark International Airport"	0.0678705
Sevastopol	0.0667788
"Kennedy International Airport"	0.0665031
"Cairo International Airport"	0.0664133
"Capital Airport"	0.0651863
"Fort Hood"	0.0651329
"Elephant Pass"	0.064878
airfield	0.0632896
"Andrews Air Force Base"	0.0622714
"Renzo Furlan"	0.0609691
Naples	0.0602649
"Hartsfield International Airport"	0.059854
Kandahar	0.058886
"Macao International Airport"	0.0583467
"Hong Kong International Airport"	0.0578101
"Ben-Gurion Airport"	0.0570531
"John F. Kennedy International Airport"	0.0570521
"Logan International Airport"	0.0566821
"Fort Lewis"	0.0565905
"Rita Grande"	0.0559461
Imola	0.0559018
Okinawa	0.0553344
Adana	0.0542861
Messina	0.054175
Taloqan	0.0541556
"Camp Zeist"	0.0537238
Norfolk	0.0537194
Luca	0.0535208
"Heathrow Airport"	0.0533155
"Kai Tak Airport"	0.0527884
"Los Angeles International Airport"	0.0524061
Spoleto	0.0518865
PALERMO	0.0517687
Hartsfield	0.0513223
"Kai Tak"	0.0510477
Murmansk	0.0507766
Dulles	0.0505387
Genoa	0.0501967
Dayton	0.0501573
Groton	0.0495874
DUBAI	0.04907
Asmara	0.0490358
Paranthan	0.0489957
Atambua	0.0488441
"Mojave Desert"	0.0472976
Bormio	0.0472373
"Fort Dix"	0.0471804
Bologna	0.0469757
"Grand Forks"	0.0468663
"Fort Collins"	0.0468369
"Pearl Harbor"	0.0468207
"Johannesburg International Airport"	0.0460298
"Banja Luka"	0.0457379
"Bekaa Valley"	0.0456867
airstrip	0.0455568
Astana	0.0455443
Luke	0.0453505
"Camp LeJeune"	0.0452577
"O'Hare International Airport"	0.0452462
"San Pedro Sula"	0.0451613
Zamboanga	0.0450568
Cartagena	0.0442271
"Isolde Kostner"	0.0439653
Ndola	0.0438833
"Santa Ana"	0.0438095
Sestriere	0.0436299
Subic	0.0435849
"Kennedy Space Center"	0.0433052
"Colorado Springs"	0.043245
Barksdale	0.0432182
Turin	0.0431583
"first CD"	0.0427616
Durres	0.0426465
Srbica	0.0425688
"Silvia Farina"	0.0423037
Perugia	0.0422471
Bloemfontein	0.042247
Christchurch	0.0421407
"Thousand Oaks"	0.041849
Uniondale	0.0412091
"AEK Athens"	0.0412021
"Virginia Beach"	0.0411549
"Gianluca Pozzi"	0.0411432
Biloxi	0.0409717
Alameda	0.0407311
"Prada Challenge"	0.040655
Udinese	0.0406458
JPL	0.0403867
Verona	0.0403186
Ballymoney	0.0401575
Hackensack	0.0401399
"Persian Gulf"	0.0400501
))
(aviation (desc 29240.8) (sims
telecommunication	0.213169
"chemical industry"	0.176659
shipbuilding	0.173524
transportation	0.173424
metallurgy	0.172641
mining	0.170285
aerospace	0.169589
transport	0.166009
aeronautics	0.162126
agriculture	0.160178
"information technology"	0.155112
petrochemical	0.153515
banking	0.153337
forestry	0.152005
tourism	0.146731
electronics	0.143441
fishery	0.141167
engineering	0.140636
machine-building	0.139288
commerce	0.136962
petroleum	0.134991
manufacturing	0.134745
shipping	0.134274
finance	0.132264
"high technology"	0.130811
"public security"	0.128057
conservancy	0.12727
communication	0.125321
railway	0.124916
industry	0.123279
biotechnology	0.121893
bioengineering	0.121579
navigation	0.119618
"building material"	0.117729
pharmaceutical	0.117309
"electronics industry"	0.117229
"real estate"	0.116075
automobile	0.114085
conservation	0.113534
"nuclear energy"	0.113523
Microelectronics	0.113272
"electric power"	0.112184
"animal husbandry"	0.111059
"public works"	0.110596
energy	0.110139
processing	0.109674
meteorology	0.109672
textile	0.108326
auto	0.107199
"life science"	0.107146
health	0.106758
infrastructure	0.106498
trade	0.106416
construction	0.106201
"oil industry"	0.104394
"higher education"	0.104262
science	0.104217
sector	0.103623
education	0.102683
machinery	0.102199
broadcasting	0.101216
"health care"	0.100288
retailing	0.0995073
Telecom	0.099034
Telecoms	0.0989746
"medical science"	0.0987392
irrigation	0.0979494
"construction industry"	0.0976946
"social welfare"	0.0974758
logistics	0.0973981
high-tech	0.0968442
"automobile industry"	0.0966515
technology	0.0962379
protection	0.0960257
Housing	0.0960122
"postal service"	0.095089
semiconductor	0.0946278
taxation	0.0945329
hydropower	0.0943356
"motor vehicle"	0.0940893
warehousing	0.0935411
"public utility"	0.093414
insurance	0.0925788
"urban planning"	0.0922839
refining	0.0922195
astronomy	0.0920643
e-commerce	0.0908099
management	0.0903548
geology	0.0900577
procurement	0.0893967
computing	0.0890918
development	0.0890599
"arms control"	0.0890059
environment	0.088861
"air travel"	0.088824
retail	0.0887895
automation	0.0887829
publishing	0.0881088
farming	0.0875882
horticulture	0.0867474
"coal industry"	0.0866471
"law enforcement"	0.0861148
"civil engineering"	0.0860358
aquaculture	0.0859698
"atomic energy"	0.085742
"water supply"	0.0854881
marketing	0.0854081
"nuclear power"	0.0853337
"Civil Aviation"	0.0852173
medicine	0.0849151
security	0.0846953
networking	0.0846134
custom	0.0841748
biology	0.083638
healthcare	0.0831063
"banking industry"	0.0829574
"road construction"	0.0827406
airline	0.0822409
Trucking	0.0821945
ecology	0.0821735
"insurance market"	0.0820514
fishing	0.0817104
"flood control"	0.081584
aircraft	0.081247
"computer industry"	0.08091
"computer technology"	0.0804585
agribusiness	0.0804045
electricity	0.0801973
e-business	0.0800349
"fire control"	0.0795353
exploration	0.0792524
"data communication"	0.0788826
multimedia	0.0786993
service	0.0785096
sanitation	0.0780671
"family planning"	0.0778964
"natural resource"	0.0776909
"space program"	0.0775606
"traffic control"	0.0774282
archaeology	0.0774022
"information system"	0.0773816
railroad	0.0770424
"quality control"	0.0770189
affair	0.0769721
sport	0.0768516
maintenance	0.0767963
"information service"	0.0767603
resource	0.0762878
afforestation	0.0762837
"securities industry"	0.0757033
research	0.075521
"health service"	0.0754336
equipment	0.074841
investment	0.0748329
seismology	0.0746908
travel	0.0745368
"film industry"	0.0744544
"city planning"	0.0739998
production	0.0737793
biotech	0.0734765
"mental health"	0.0732554
planning	0.0730049
mineral	0.0728917
"securities market"	0.0726284
"data processing"	0.0726183
economics	0.0725247
Gaming	0.0724917
preservation	0.0720949
"social service"	0.0720069
chemical	0.0713768
medical	0.0713181
economy	0.0711889
"household appliance"	0.0711647
culture	0.0711439
"information science"	0.0711265
"consumer electronics"	0.0708945
"computer science"	0.0708485
"mineral resource"	0.0708398
breeding	0.0708182
traffic	0.0706844
immigration	0.0702007
architecture	0.0701438
"civil defense"	0.0698436
"insurance business"	0.0693846
prevention	0.0692407
governance	0.0691772
recreation	0.0691769
"railway system"	0.0690466
accounting	0.068693
"property right"	0.0684304
"computer network"	0.0683705
"power grid"	0.0682244
"public service"	0.0682169
robotics	0.0681408
intelligence	0.0680309
Coal	0.0679182
Journalism	0.0677453
husbandry	0.0676466
"mass transit"	0.0676463
catering	0.0675848
))
(aviator (desc 10047.1) (sims
airmen	0.143029
pilot	0.130198
infantryman	0.125202
airman	0.124298
"staff sergeant"	0.11362
"test pilot"	0.109208
corporal	0.104212
"naval officer"	0.102462
sailor	0.0959454
"lieutenant colonel"	0.0942822
ensign	0.093821
"prisoner of war"	0.0880762
Sergeant	0.0873597
Colonel	0.0860093
flier	0.0857158
serviceman	0.0833093
marine	0.0831071
balloonist	0.0796091
submariner	0.0789473
medic	0.078467
cadet	0.0780103
warplane	0.0779519
"intelligence officer"	0.0773331
"Arizona Republican"	0.0755585
commando	0.0753504
"crew member"	0.0752775
vaulter	0.0749554
"air force officer"	0.0742504
Admiral	0.0725396
"foreign service officer"	0.0725132
skydiver	0.0719998
enlistee	0.0717697
servicemen	0.0712486
crewmen	0.0711028
"transport ship"	0.0710098
reservist	0.0707333
adventurer	0.0706358
diver	0.0703725
"Charles Lindbergh"	0.0700914
astronaut	0.0698692
navigator	0.0692524
crewman	0.0689053
"intelligence analyst"	0.0684009
paratrooper	0.06818
parachutist	0.0666816
mountaineer	0.0661814
"American plane"	0.0656043
"Richard Ashby"	0.0650012
warship	0.0643344
instructor	0.0642811
policeman	0.0641634
climber	0.0629072
fisherman	0.0627101
"enlisted man"	0.0624727
Gi	0.0623255
"jazz musician"	0.0621453
chaplain	0.0615024
wraparound	0.0614514
POW	0.0611422
"lieutenant general"	0.0611327
hiker	0.0610834
boater	0.0607071
"surface ship"	0.0606233
"army officer"	0.0605054
firefighter	0.060476
osprey	0.060384
seamen	0.0603194
"civil rights leader"	0.0602126
Lieutenant	0.0601572
MiGs	0.059815
"battle group"	0.0597824
conscript	0.0597627
"mountain climber"	0.0597607
Prowler	0.0594917
Fishermen	0.0592499
squadron	0.0590349
violinist	0.0587045
crewmembers	0.0585904
infantrymen	0.0584263
"flight attendant"	0.0578072
"military officer"	0.0577978
rabbi	0.0577661
missionary	0.0573397
photographer	0.057193
cosmonaut	0.0567875
trainee	0.056529
"black person"	0.0561914
painter	0.0561158
bullfighter	0.0554628
rower	0.0554309
surgeon	0.0548069
pianist	0.0546067
"military man"	0.0545045
"disc jockey"	0.0544724
bomber	0.0544337
"coal miner"	0.0544109
commandant	0.0541008
seminarian	0.0540527
"altar boy"	0.0540199
gymnast	0.0539695
swimmer	0.0539103
"target practice"	0.0539013
firefighters	0.0538552
gunboat	0.0537579
militiaman	0.0537464
electrician	0.053585
angler	0.053548
mathematician	0.053533
"chess player"	0.0535217
acrobat	0.0534281
businessman	0.0530858
impersonator	0.0530147
"gold miner"	0.0528723
physicist	0.0525879
deejays	0.0525703
statesman	0.0525655
"movie star"	0.0525613
F-@@s	0.0520477
"newspaper editor"	0.0520248
"hockey player"	0.0516498
preacher	0.0516375
"eagle scout"	0.051591
F-@@	0.0515611
dramatist	0.0515579
miner	0.0515436
Klansmen	0.0513851
poet	0.0513763
sniper	0.0508485
novelist	0.0508355
trooper	0.0508291
choreographer	0.0507969
racer	0.0507823
businesswomen	0.0507474
cager	0.0507165
composer	0.0505688
winemaker	0.0505373
restaurateur	0.0503552
kayaker	0.0503541
boxer	0.0503395
schoolteacher	0.0503282
"police boat"	0.0500716
"police officer"	0.0500515
golfer	0.0499847
geologist	0.0499471
educationist	0.049869
mobster	0.049852
midshipmen	0.0497807
gunship	0.0497548
Harrier	0.0497368
seafarer	0.0496768
airforce	0.0496587
backpackers	0.049624
barrister	0.0495675
wrestler	0.0495528
"commanding officer"	0.0492809
"supply ship"	0.0491913
banker	0.0490622
"professional golfer"	0.0490488
ornithologist	0.0490208
ballerina	0.0489754
"belly dancer"	0.0489546
gunner	0.048921
"major leaguer"	0.0489131
"young man"	0.0488763
"Air Force"	0.0487787
guardsmen	0.0486976
clergyman	0.0486293
"military personnel"	0.0486179
Harlequin	0.0485313
bodybuilder	0.0485214
"aerospace engineer"	0.0485136
comrade	0.0484321
inventor	0.0481161
"Robert F. Kennedy"	0.0481086
"white man"	0.0480929
detective	0.0479027
B-@s	0.0478967
Hunter	0.0478409
"electrical engineer"	0.0477976
"truck driver"	0.0477016
technician	0.0476765
"art historian"	0.0476738
lawmen	0.0475415
footballer	0.0474367
woodworker	0.0473838
Olympian	0.0473305
naturalist	0.0473183
"scuba diver"	0.0472808
nobleman	0.0472332
"fashion designer"	0.0472045
"little leaguer"	0.0471717
copywriter	0.047096
musician	0.0470674
sculptor	0.0469241
B-@@	0.0468138
"patrol boat"	0.0467914
"tennis player"	0.0467763
dancer	0.0467456
"John Glenn"	0.0466666
skier	0.0466628
))
(Avignon (desc 1700.15) (sims
Grenoble	0.136275
Toulouse	0.13448
Dijon	0.126919
Rennes	0.120819
Marseilles	0.106202
Nantes	0.104926
Montpellier	0.0996448
Nago	0.0988955
Lille	0.0960205
"La Paz"	0.0893694
Marseille	0.0890037
Bordeaux	0.0887573
Strasbourg	0.0864769
Metz	0.0851639
Albertville	0.0848413
Baalbek	0.0847248
Antalya	0.0835618
Ensenada	0.0817402
Beersheba	0.0810009
Juba	0.0783697
Lyon	0.0776358
Caen	0.0775604
Chamonix	0.0772374
Turin	0.0766565
Catania	0.0756997
Bayonne	0.075296
Sidon	0.0751853
Calais	0.0746608
Missoula	0.0736423
Lyons	0.0729463
Leskovac	0.0728051
Cardiff	0.0723579
CARACAS	0.0722535
Aachen	0.0712218
Dunkirk	0.0709
Guadalajara	0.0700182
Malaga	0.0695525
Haicheng	0.0694115
Constantinople	0.0690363
Dushanbe	0.0685637
Quetta	0.0679131
"Port Elizabeth"	0.0678479
BRIGHTON	0.0675333
Moncton	0.0672582
Kandy	0.0670427
Assisi	0.0662629
Matadi	0.0656751
Plata	0.065455
Kismayu	0.0653028
Manado	0.0653002
Trincomalee	0.0652103
Lumbini	0.064353
Limoges	0.0641783
Jenin	0.0638947
Nogales	0.0638383
Lucerne	0.0636597
Batticaloa	0.0633822
Kizlyar	0.0630369
Cannes	0.0621915
Tabriz	0.0618522
Jinja	0.0618105
Florence	0.0616899
"Paris St Germain"	0.0614844
"Suva Reka"	0.0614366
BUCHAREST	0.0613763
Palembang	0.0612178
"Arnaud Di Pasquale"	0.0611516
"San Cristobal"	0.060719
Khost	0.0606137
Urus-Martan	0.0605276
LaGrange	0.0603408
Salzburg	0.0600964
Asuncion	0.0597378
Christchurch	0.059533
Krakow	0.0595121
Marjayoun	0.0593587
Laredo	0.0590945
Hamburg	0.0585186
Pompeii	0.0584777
Macoris	0.0581116
Liege	0.0579865
Kuito	0.0578796
Vlore	0.0574649
Sirte	0.0573871
Acapulco	0.0571794
Taloqan	0.0570538
Gudermes	0.0570174
Uvira	0.0568809
"Didier Auriol"	0.0568774
Herat	0.0567659
"San Sebastian"	0.0567595
"Jean-Philippe Gatien"	0.056746
ASHEVILLE	0.0558968
Durres	0.0558607
Managua	0.0556741
Babylon	0.0556253
Vavuniya	0.0554486
Antioch	0.0550233
Vukovar	0.0550185
Dubrovnik	0.054587
Normandy	0.0545132
Aswan	0.0543437
Kitwe	0.0541423
Lhokseumawe	0.0541273
Glasgow	0.0541177
Quito	0.0541058
ponce	0.054056
Waterbury	0.0539715
Salonika	0.0539705
Amarillo	0.0538383
Yonkers	0.0537163
Murmansk	0.0534514
Guayaquil	0.0534426
Montpelier	0.053431
Toulon	0.0533798
Guadeloupe	0.0528963
"Laurent Brochard"	0.0527978
"San Salvador"	0.052606
"Arnaud Boetsch"	0.0525849
Mbarara	0.0524316
Mankulam	0.0524163
Xian	0.0523247
Naples	0.0522961
Longview	0.0522547
Cornwall	0.0521753
"Santo Domingo"	0.0520567
Huambo	0.0519142
Posoltega	0.0518975
"Olivier Delaitre"	0.0518882
"Guy Forget"	0.0518436
Multan	0.0517697
Maastricht	0.051726
Aden	0.0516326
Versailles	0.0515573
Dandong	0.0514694
Adana	0.0512199
Mosul	0.0511117
Zhangjiagang	0.0510903
Dundee	0.0509094
Qom	0.0508577
SANAA	0.0508433
"Port Said"	0.050737
Izmir	0.050731
Merida	0.0506935
"Sarah Pitkowski"	0.0506898
Napa	0.0504403
Madras	0.0502299
Haifa	0.0501558
Changzhou	0.0501488
Saida	0.0497722
"Egyptian capital"	0.0497011
"Big Sur"	0.0496746
Bangalore	0.0494815
"Puerto Vallarta"	0.0494544
Casas	0.0493932
"San Pedro Sula"	0.0493902
"Siem Reap"	0.049206
Bulawayo	0.049002
Vladikavkaz	0.0489925
Baoding	0.0489786
Orleans	0.048899
roundtrip	0.0488983
Luoyang	0.048813
Saint-Denis	0.0487956
TEGUCIGALPA	0.0487388
Weifang	0.0484269
Shashi	0.0483256
"Nicolas Escude"	0.048295
"Panama City"	0.0481736
Izmit	0.0481552
Jalalabad	0.0480528
Wildwood	0.0480251
Lubbock	0.0480223
Kailahun	0.047938
Brownsville	0.0478771
Windhoek	0.0478619
Americus	0.0477572
Novosibirsk	0.0476014
Eindhoven	0.0475428
Krasnoyarsk	0.0475366
Alma-Ata	0.0475176
McAllen	0.0473226
Baku	0.0471875
Limassol	0.0471104
Chattanooga	0.0468989
"Wichita Falls"	0.0468877
Baotou	0.0468573
"Canary Islands"	0.0467508
Urosevac	0.0466059
Mashhad	0.0465845
Porto	0.0465566
Flagstaff	0.0465466
"Leeward Islands"	0.0465387
"Santa Cruz"	0.0465223
Jericho	0.0463545
Bukavu	0.0462927
Eilat	0.0461361
Rostock	0.0460609
Piraeus	0.0460088
Zhangzhou	0.0459389
))
(Avila (desc 2340.06) (sims
"San Cristobal"	0.0943292
Casas	0.0922024
Malaga	0.0882016
Laguna	0.0860197
Hiett	0.0810226
Borodin	0.0808626
Santander	0.0795556
Eizenstat	0.0776261
Garza	0.0767769
Almeida	0.0752187
Jager	0.0749297
Merida	0.0742327
T.J	0.0739201
Burgos	0.0736478
Macoris	0.0720933
Burgess	0.0720419
Kazhegeldin	0.0714163
Limon	0.0711698
Ervin	0.070255
Tete	0.0693186
Murmansk	0.0664119
Rossotti	0.0659287
Yastrzhembsky	0.0658585
Shamshad	0.0653702
Satcher	0.0651777
Neulander	0.0651198
Herat	0.0649065
Swardt	0.0640016
Oro	0.0639033
Batticaloa	0.0632118
Hahn	0.0628253
Brundtland	0.0628177
Puente	0.0625185
Maslyukov	0.0624836
Pickering	0.0623677
Extremadura	0.062228
Ciampi	0.0620405
Klerk	0.061986
Villar	0.0616855
OCA	0.0616808
Ivester	0.0616344
Gudermes	0.0615279
Tarawneh	0.0613913
Jenoff	0.0613129
Plata	0.060731
Rideau	0.0605109
Gilman	0.0600129
Zeng	0.0600035
Donnan	0.0599429
Azad	0.0596713
Izetbegovic	0.0595445
EOHR	0.0594162
Ruggiero	0.0592463
Schaeffer	0.0587786
Moog	0.0586901
Verniero	0.0586302
Benguela	0.0586071
Najaf	0.0585988
Barros	0.0584845
Palma	0.0584213
Caen	0.0582725
Blackthorne	0.0581226
Carrera	0.0578641
Galindo	0.0577145
Ruehe	0.0576603
McGinn	0.0574938
Rosario	0.0573979
Barad	0.0573146
Khost	0.0572963
Shevardnadze	0.0571754
Cabrera	0.0571751
"Santa Maria"	0.0570733
"Chiang Rai"	0.0569617
Lhokseumawe	0.0568795
Mello	0.0565977
Demaci	0.0565612
Ferris	0.0565159
Izmit	0.0564705
conger	0.0562664
Westendorp	0.0562507
Moonves	0.0558826
ITC	0.0557933
Cisneros	0.0557325
Liege	0.0557324
Sherrill	0.0554293
Trujillo	0.0549083
Fuente	0.0547655
Weizman	0.0547229
Harris-Lewis	0.0544516
Alaves	0.0544482
Venecia	0.054407
Sassa	0.0543333
Shalala	0.0543244
Zapata	0.0541691
Bruijn	0.0541119
Baca	0.0541028
Batouty	0.0540251
Arens	0.054014
Guadalajara	0.0539606
Singson	0.0538046
Godfrey	0.0537832
Naumann	0.0537208
Jauron	0.0536811
peeler	0.053654
Berenson	0.0535919
Pustovoitenko	0.0535178
Antioquia	0.0534883
Hynes	0.0534149
Goff	0.0533013
Klima	0.0532868
ARI	0.0531843
Ganassi	0.053072
Sheehan	0.0530644
Kandy	0.0530286
Matamoros	0.0529543
Joklik	0.0529095
Vlore	0.0528605
Lazaro	0.0528015
Ota	0.0527423
Jarrell	0.05263
Nakata	0.0526069
Jong	0.0524973
Barshefsky	0.0524173
Xiong	0.0523987
Milo	0.0523476
Mikhailov	0.0522728
Laudor	0.0521991
Vialli	0.0521832
"Christopher Columbus"	0.0521513
Arad	0.0520546
Aquino	0.0520306
Kalejs	0.0519832
Prueher	0.0519365
Farah	0.0519154
KU	0.0517799
Bingol	0.0516036
Harrelson	0.0514247
Jinja	0.0514156
Lipponen	0.0514126
Banda	0.0513212
Prado	0.0511586
Farley	0.0510881
Mosul	0.0509642
Kailahun	0.0508572
Zadornov	0.0508235
Kasyanov	0.050802
Modell	0.0507456
Axworthy	0.0507225
Irvan	0.0507032
"Lee Hsien Loong"	0.05068
Duisenberg	0.0506471
Palembang	0.0505172
Coia	0.0505057
Surin	0.0504097
Mukora	0.0503711
Campo	0.0503384
Jenin	0.0503148
Stoneman	0.0502053
Papon	0.0499738
Solana	0.0498898
Cartwright	0.049842
Merlino	0.0497091
Faulder	0.0496971
Matadi	0.0496842
Merkel	0.0496486
Faget	0.0495944
Renteria	0.049589
Lautenberg	0.0495383
Pamplona	0.0494877
Masire	0.0494661
Toro	0.0494347
Cao	0.0493549
Julio	0.0492947
Catania	0.0492795
Ricci	0.0492498
Leyland	0.0492122
Bilbao	0.0490745
Rudman	0.0489894
Zamora	0.0489496
Diouf	0.0489385
Tian	0.0488975
Rua	0.048683
Turgeon	0.0486109
Nebiolo	0.0485877
Kismayu	0.0485826
Meng	0.0485547
"Chief Executive Tung Chee-hwa"	0.0485451
BIE	0.0485447
Schmalensee	0.0485212
Meguid	0.0484881
Tuttle	0.0484822
Slaney	0.0484684
Pippig	0.0483976
Heredia	0.0483699
"Salt Lake Organizing Committee"	0.048322
Tunceli	0.048285
Tenerife	0.0482843
Rafah	0.0482056
Cordoba	0.0481215
Doggett	0.0481139
))
(avionics (desc 2926.47) (sims
diagnostics	0.135403
"aircraft engine"	0.133203
Microelectronics	0.132044
sonar	0.128276
automation	0.122624
"control system"	0.121161
"communications equipment"	0.120173
"landing gear"	0.119603
instrumentation	0.119233
"electronic equipment"	0.112021
"electronic warfare"	0.111495
"air-to-air missile"	0.111073
"fighter aircraft"	0.109854
radar	0.108656
electronics	0.10778
"weapons system"	0.104723
"communications technology"	0.103416
"optical fiber"	0.102724
imaging	0.102615
propulsion	0.101872
SDH	0.101626
"machine tool"	0.100402
GPS	0.0997405
"software system"	0.0987471
navigation	0.0986822
sensor	0.0979997
semiconductor	0.0973578
"weapon system"	0.0968331
"data processing"	0.0964366
sensing	0.0958856
optic	0.094526
"alarm system"	0.0934442
"medical instrument"	0.0932657
"fire control"	0.0928494
informatics	0.0926885
"information system"	0.0925326
weaponry	0.0915062
"global positioning system"	0.0911609
"communication system"	0.0900267
"fiber optics"	0.0899665
air-conditioning	0.0891976
refrigeration	0.0887887
"scientific instrument"	0.0881488
Filtration	0.0878608
"gas turbine"	0.0871511
"diesel engine"	0.0868054
turbine	0.0863104
microchip	0.0862347
AWACS	0.0859729
"inventory control"	0.0857766
"computer hardware"	0.0852358
mammography	0.0848176
"rescue equipment"	0.0847862
"wireless telephone"	0.0846868
"electronic device"	0.0842293
videophone	0.0834424
aerospace	0.0834097
"sound system"	0.08322
"propulsion system"	0.0832088
"suspension system"	0.083018
"brake system"	0.0827827
agro-techniques	0.0826737
"surveillance system"	0.0825089
networking	0.0822492
gyroscope	0.0818253
filtering	0.081156
"steam turbine"	0.0810313
"night vision"	0.0808813
thermostat	0.0805032
multimedia	0.0804715
"computer equipment"	0.080302
CDMA	0.0802776
"consumer electronics"	0.0802631
recorder	0.0801995
"production equipment"	0.0801774
purifier	0.0798961
"computer language"	0.0797851
"water pump"	0.0796093
hardware	0.0794081
"computer network"	0.0780821
Solaris	0.0776726
GSM	0.0769671
"telecommunication system"	0.0764866
"hydraulic system"	0.0764519
engineering	0.0760782
"rocket engine"	0.0759991
"solar power"	0.075353
"household appliance"	0.0752717
"test equipment"	0.0750488
purification	0.074926
"spare part"	0.0748915
"home appliance"	0.0747124
"thermonuclear warhead"	0.0746171
ultrasound	0.0739215
"guided missile"	0.0736058
"air defense"	0.0728721
"information technology"	0.0727132
"audio system"	0.0726888
"office furniture"	0.0726151
E-ZPass	0.0721961
emulator	0.0720735
desalination	0.0720586
signaling	0.071466
metallurgy	0.0710043
"surface-to-air missile"	0.0709679
"early warning system"	0.070754
"UNIX operating system"	0.0707072
bioengineering	0.07047
"weather forecasting"	0.070225
"traffic control"	0.0702128
hydraulics	0.0701851
interceptor	0.0701036
fighter-bombers	0.0700797
"jet engine"	0.0700286
"circuit board"	0.0698246
CAD	0.0697394
"communications service"	0.0695686
"software product"	0.0691571
"consumer product"	0.0691348
shipbuilding	0.0690095
"power system"	0.0684495
telephony	0.0684067
"cooling system"	0.0683649
chassis	0.0683621
hand-held	0.0683473
"local area network"	0.0682514
"fuel cell"	0.068251
"safety feature"	0.0682485
torpedo	0.0679713
gearbox	0.067848
"Office @@"	0.0676302
"nuclear warhead"	0.0675991
carnivore	0.0675619
"aircraft part"	0.0674568
"telephone network"	0.0674023
plumbing	0.0670594
"air bag"	0.0669799
pharmaceutical	0.0668889
darkroom	0.0665711
scanner	0.0664063
rudder	0.0663214
"computer application"	0.0662245
"artificial intelligence"	0.0660588
armament	0.066053
simulation	0.0655468
agro-technology	0.0652009
firewalls	0.0651926
forklift	0.0649694
forensics	0.0648517
munition	0.0648296
"communications network"	0.0647973
refining	0.0646208
mainframe	0.0644112
stents	0.0643804
Powerbook	0.064324
"telephone exchange"	0.0642784
laser	0.0637636
"Windows CE"	0.0635233
fibre	0.0633243
"integrated circuit"	0.0632973
"high technology"	0.0631179
minesweeper	0.0631134
Lighting	0.0629958
"quality control"	0.0629435
destroyer	0.0627434
"software package"	0.0626392
"rolling stock"	0.0624493
peripheral	0.0623707
polygraph	0.0623529
conditioner	0.0619939
"ventilation system"	0.0616832
"production line"	0.0615672
"disk drive"	0.0615538
transformer	0.0615381
"cellular telephone"	0.0614441
aeronautics	0.0614059
"power steering"	0.0613215
"Office @@@@"	0.0613163
packaging	0.0612695
LCD	0.06111
launcher	0.0610761
intranets	0.0609366
workstation	0.0609356
"building material"	0.0606942
microprocessor	0.0606407
"solar energy"	0.060465
"security system"	0.060371
eyewear	0.0601807
defibrillator	0.0600486
"data communication"	0.059981
transmitter	0.0599681
petrochemical	0.0598839
nuclear-weapons	0.0594656
"fire alarm"	0.0594255
machine-building	0.0593958
Projector	0.0593673
air-conditioner	0.0593322
auto	0.0592975
"fire extinguisher"	0.0591745
BLUETOOTH	0.0590962
))
(Avis (desc 3085.91) (sims
NiSource	0.114778
"Phelps Dodge"	0.101578
Hertz	0.0928756
RJR	0.0908938
"Boston Scientific"	0.0902746
"True North"	0.0901294
Stratus	0.0884429
"Whole Foods"	0.0876046
Alamo	0.0859434
Publicis	0.0820354
"Y&AMP;R"	0.0812136
"Burlington Northern"	0.0809861
"Waste Management"	0.0803869
"Coca-Cola Enterprises"	0.0803016
McKesson	0.0799748
ExciteAtHome	0.0787743
"RJR Nabisco"	0.0778414
"Koch Industries"	0.0778373
ENTERGY	0.0776202
TYCO	0.077487
AHP	0.0772547
"Bank of Scotland"	0.0770329
Litton	0.0767357
UAL	0.0766988
Kroger	0.0762194
Omnicom	0.0754694
WPP	0.0753134
Genentech	0.0743808
Petrofina	0.0743497
MetLife	0.0742973
AIG	0.0742017
NatWest	0.0739855
Alltel	0.073664
"National Grid"	0.0734334
"U.S. Trust"	0.0727599
Bestfoods	0.0727279
Starwood	0.0726753
Emulex	0.0726286
"Georgia Power"	0.0721458
Medtronic	0.0719224
AMR	0.0717057
SkyTel	0.0716762
"Berkshire Hathaway"	0.0715429
"Times Co."	0.0714589
Pairgain	0.0712709
Clorox	0.0711732
Allstate	0.071042
SunTrust	0.0706679
Tenneco	0.0706576
Albertson's	0.0705025
Biogen	0.0702263
Saks	0.0701929
"Royal Bank"	0.0691981
"Con Ed"	0.0689803
Healtheon/WebMD	0.0684257
"P&AMP;G"	0.0679924
Cendant	0.0679365
Totalfina	0.0678296
All-Tech	0.0673967
CVS	0.0673409
"Computer Associates"	0.0672467
GANNETT	0.0671704
"Thermo Electron"	0.0669436
Sunbeam	0.066803
VoiceStream	0.0667372
Asarco	0.0660146
"Air Canada"	0.0658227
PEOPLESOFT	0.0658093
Honeywell	0.0657056
"Chronicle Publishing"	0.0656917
"William Morris"	0.0652609
Norwest	0.0652522
BankAmerica	0.0651332
Genzyme	0.0647775
Informix	0.0646274
Georgia-Pacific	0.0645877
Ciena	0.0645005
"HBO &AMP; Co."	0.0644585
ALZA	0.0644238
Hilton	0.0643684
"U S West"	0.0643581
"Met Life"	0.0642701
"Cadbury Schweppes"	0.0638761
SmithKline	0.0638471
Maytag	0.0636935
"Times Mirror"	0.0636187
"Saatchi &AMP; Saatchi"	0.0635283
Gilead	0.0635244
"Canadian Airlines"	0.0634748
"American Home"	0.0632697
Avondale	0.0631878
Daimler	0.0630869
NTL	0.0630695
"Union Pacific"	0.0627139
COLTEC	0.0626785
Mannesmann	0.0626518
Chiron	0.0626257
Humana	0.0625522
"International Paper"	0.0623417
YPF	0.0621917
Weyerhaeuser	0.0621388
Pinkerton	0.0620086
"USA Networks"	0.061936
Webvan	0.0616113
ADM	0.0613378
Texaco	0.0613184
Checkfree	0.061276
CMGI	0.0612203
GEC	0.0609239
Barclays	0.0605603
Aetna	0.060506
"Hongkong Telecom"	0.0603695
"Ford Motor"	0.0602614
Heinz	0.0601356
Corel	0.0600751
AlliedSignal	0.060067
Infoseek	0.0598062
EMC	0.0597721
"J&AMP;J"	0.0593446
"Telecom Italia"	0.0592756
Sibneft	0.0591316
BankBoston	0.0590815
MiniMed	0.0587545
WebMD	0.0586702
"America West"	0.0586404
Cabletron	0.0586251
"BP Amoco"	0.0585915
Warner-Lambert	0.0585837
MACROMEDIA	0.058557
"State Farm"	0.0585475
Exxon	0.0585196
Federated	0.0585086
Comsat	0.0584962
Nabisco	0.0584657
TELLABS	0.0583947
"Newport News"	0.058254
Corning	0.0580666
PLDT	0.0579935
E-LOAN	0.0579769
SFX	0.0578142
Lilco	0.0577685
"Mitsubishi Motors"	0.0577554
Unilever	0.0577027
Pillsbury	0.0574895
"First Union"	0.0574732
Monsanto	0.0573144
Daimler-Benz	0.0573057
"Gap Inc."	0.057213
"Tribune Co."	0.0571546
"Rite Aid"	0.0570764
Nextel	0.0570018
SGI	0.0569854
Nortel	0.0568848
Pepsico	0.0568225
Bridgestone	0.0567249
"Con Edison"	0.0566174
"United Technologies"	0.0563721
"three units"	0.0562253
Healtheon	0.0561945
Qwest	0.0561837
"Learning Co."	0.0561707
"Bear Stearns"	0.0561022
Domino's	0.0560191
"Sprint PCS"	0.0558717
BSKyB	0.0558555
Agilent	0.0558227
"Dow Chemical"	0.0557788
SAFY	0.0557746
"Office Depot"	0.0557375
Woolworth	0.0556035
"Food Lion"	0.0555016
"Northeast Utilities"	0.0554809
Chiquita	0.0553012
Comcast	0.055185
"Thomson CSF"	0.0551162
CSX	0.0548576
"Global Crossing"	0.054741
Telefonica	0.0544409
Mattel	0.0543655
Dupont	0.0543181
"Federated Department Stores"	0.0542566
Vodafone	0.0542326
"Toys R Us"	0.0541396
"Pacific Century"	0.0540542
Delphi	0.054014
Lorillard	0.0538398
infinity	0.0538272
Geron	0.0537175
Gazprom	0.0537053
Peapod	0.0536368
Conseco	0.0536271
"R.J Reynolds"	0.0534993
"Niagara Mohawk"	0.0533295
TRW	0.0532654
Broadcom	0.0531757
"Cendant Corp."	0.0530965
CUC	0.0529689
WELLPOINT	0.0529006
"MCI WorldCom"	0.0528862
BofA	0.0528093
))
(avocado (desc 9625.08) (sims
"red onion"	0.279577
cucumber	0.275527
"bell pepper"	0.249484
pineapple	0.24932
mango	0.244236
papaya	0.243398
"plum tomato"	0.243191
tomato	0.24182
onion	0.235374
"green onion"	0.229576
shallot	0.229493
"garlic clove"	0.227174
celery	0.222994
"red bell pepper"	0.22182
nectarine	0.21499
scallion	0.212095
pear	0.209364
"red pepper"	0.208155
melon	0.20326
lettuce	0.202949
peach	0.20219
"black olive"	0.201039
eggplant	0.198753
carrot	0.196625
"green pepper"	0.196515
jalapeno	0.195872
cantaloupe	0.192152
olive	0.19184
zucchini	0.185473
fennel	0.182648
Garlic	0.180204
potato	0.175974
Basil	0.17105
ginger	0.170851
lemon	0.170724
chiles	0.170315
chive	0.17001
cilantro	0.169491
pepper	0.168102
radish	0.167452
fig	0.165444
arugula	0.165202
chilies	0.164994
plantain	0.164554
leek	0.163254
spinach	0.161753
watermelon	0.161473
cheese	0.159267
pancetta	0.159088
apricot	0.156362
parsley	0.1563
asparagus	0.153505
beet	0.152422
"goat cheese"	0.15087
banana	0.15076
mushroom	0.149017
grapefruit	0.146984
turnip	0.146489
shrimp	0.146413
parsnip	0.14521
cabbage	0.144187
"hard-boiled egg"	0.143321
ham	0.143216
"sweet potato"	0.142789
plum	0.142179
"lime juice"	0.141622
Cherry	0.140845
Orange	0.140112
lime	0.139691
artichoke	0.139487
Broccoli	0.139167
mint	0.138091
dill	0.137884
almond	0.13737
"water chestnut"	0.136837
mozzarella	0.136664
strawberry	0.135012
prosciutto	0.134166
RHUBARB	0.132307
bacon	0.131795
apple	0.131516
walnut	0.13096
mayonnaise	0.128726
raspberry	0.12729
"chicken breast"	0.126399
tomatillo	0.123895
raisin	0.123675
vegetable	0.123504
"green bean"	0.123255
coconut	0.122642
pea	0.122177
squash	0.121065
"pine nut"	0.12085
oregano	0.119352
salami	0.118812
guacamole	0.118234
"bean sprout"	0.117414
chicken	0.11713
watercress	0.116497
fruit	0.116293
"lemon juice"	0.115986
grape	0.115131
tangerine	0.112986
"cream cheese"	0.112981
bread	0.112301
pumpkin	0.111724
pecan	0.111372
fraiche	0.111037
clove	0.109774
"blue cheese"	0.109675
radicchio	0.109375
salsa	0.109331
"egg yolk"	0.109326
sausage	0.108864
yogurt	0.108538
"brussels sprout"	0.107111
slice	0.106463
scallop	0.106372
"shiitake mushroom"	0.10617
"green olive"	0.105079
pork	0.104899
salad	0.104651
Chili	0.10429
"beef tenderloin"	0.10396
"cherry tomato"	0.103835
Quince	0.101565
vinegar	0.101114
"olive oil"	0.100774
tarragon	0.100581
herb	0.100298
"sour cream"	0.100072
"fava bean"	0.0996949
lemongrass	0.0996032
steak	0.0995169
mustard	0.0992799
egg	0.0992247
persimmon	0.0991683
cashew	0.0983079
berry	0.0981961
tortilla	0.0980181
chutney	0.0979677
corn	0.0970782
butter	0.0967436
hazelnut	0.096342
cauliflower	0.0959084
tuna	0.0949883
sauce	0.0949682
peanut	0.0949081
Sorrel	0.0945976
bean	0.0944794
citrus	0.0940479
cumin	0.0938688
thyme	0.0935729
Parmesan	0.0931641
"roast beef"	0.0930301
rosemary	0.0926108
ricotta	0.0924358
vinaigrette	0.0924259
"citrus fruit"	0.0924168
pimento	0.0923697
salt	0.0923167
okra	0.0922054
honey	0.0914548
horseradish	0.0913638
puree	0.0909327
fillet	0.0907423
kiwi	0.0905541
prune	0.0903436
litchi	0.0898592
"hot pepper"	0.0894727
"peanut butter"	0.0894241
pesto	0.0892109
tofu	0.0886362
chard	0.0885988
"chili powder"	0.0885458
veggie	0.0885001
"orange juice"	0.0882533
chocolate	0.0882528
sprig	0.0878454
beef	0.0871769
"winter squash"	0.0867797
"macadamia nut"	0.0861015
FETA	0.0857861
kumquat	0.0856727
pasta	0.0854356
noodle	0.0854265
"brown sugar"	0.0853991
florets	0.085068
yam	0.0845667
blueberry	0.0845137
meat	0.084293
romaine	0.0841691
blackberry	0.0839895
mussel	0.0836499
"coconut milk"	0.0835338
caper	0.0834094
anchovy	0.083353
sugar	0.0831674
"pork tenderloin"	0.082949
brioche	0.0826951
))
(avocation (desc 1096.73) (sims
Vocation	0.0934065
hobby	0.0929083
left-winger	0.083465
"parlor game"	0.079529
meanderings	0.0724321
"line of work"	0.0694602
"foster mother"	0.0646384
auteur	0.0643064
flavour	0.0637193
"civic duty"	0.0621024
oxymoron	0.0616729
bedfellow	0.0610127
exerciser	0.0598757
antagonist	0.0596031
meritocracy	0.0592524
"stage name"	0.0586873
pastime	0.0586788
credo	0.05844
"cause celebre"	0.0570859
"election district"	0.0561381
"soul mate"	0.0553449
"guessing game"	0.0553362
birthright	0.0552369
"waiting game"	0.0551452
Wanderlust	0.0550294
optimist	0.0550263
accoutrement	0.0548616
nightspot	0.0540722
"ultraviolet light"	0.0540569
anachronism	0.0539425
oversimplification	0.0535116
eye-opening	0.0533098
"order of the day"	0.0532234
sobriquet	0.0530388
personae	0.0529861
"growth industry"	0.0529145
"Ford Expedition"	0.0527631
accompanist	0.0525526
pacifist	0.052475
stepchild	0.0523544
"dance band"	0.0521106
co-anchor	0.0518966
ambassadorship	0.0518102
"sea lane"	0.0515875
outrageousness	0.0513782
moralism	0.0508741
"feast day"	0.0507417
"raw talent"	0.0507098
warhorse	0.0505576
"agenda item"	0.0499969
slumber	0.0498755
inquisitor	0.049833
ism	0.049289
optometrist	0.0491212
"family name"	0.0488015
"vacation spot"	0.048743
"whipping boy"	0.0486897
"employment contract"	0.0482757
"computer language"	0.0481616
Patrimony	0.0479649
soulmate	0.0479152
"point of reference"	0.0478594
"powder keg"	0.0477452
"campaign for governor"	0.0476573
buzzword	0.0476529
"standard bearer"	0.0476362
aphorism	0.0474991
assignation	0.0468624
kingmaker	0.0468611
lifeblood	0.0468083
ECN	0.0466844
"easy chair"	0.0466239
fieldwork	0.0466238
"herb garden"	0.0465118
misperception	0.0463483
feistiness	0.0463385
neurosis	0.0462757
salutation	0.0460493
willfulness	0.0460169
adherent	0.0460103
breadwinner	0.0458924
Seine	0.0457251
quagmire	0.0457225
affliction	0.0456032
locution	0.0455617
womanhood	0.045423
cesspool	0.0451373
"inaugural address"	0.0449563
anti-Semite	0.044908
avatar	0.0448937
"strong point"	0.0448862
fulltime	0.0448397
surfacing	0.044776
chum	0.0447737
gadfly	0.0446876
lovefest	0.044615
locus	0.04445
"magnum opus"	0.0443629
"hiding place"	0.0442603
nullification	0.0442435
"attack dog"	0.0440626
canard	0.0440109
potentate	0.043917
"nose dive"	0.0437227
Astro	0.0437055
"mind's eye"	0.0436061
archenemy	0.0434655
self-awareness	0.0434627
"rallying point"	0.0433987
suffix	0.0433165
"hunting ground"	0.0431714
alderman	0.0430966
acolyte	0.0429561
"Comprehensive Nuclear Test Ban Treaty"	0.0428858
singer-songwriters	0.0428085
isolationist	0.0427826
"electronic database"	0.0427702
archetype	0.0427416
"line of business"	0.0425968
fiefdom	0.0422835
infantryman	0.0422646
experimenter	0.0421827
renown	0.0421406
"fall guy"	0.0420904
loathing	0.0420668
"animal disease"	0.0420277
"teaching method"	0.041956
"watering hole"	0.0419503
masquerade	0.0419391
"reference point"	0.0417865
apparatchiks	0.0417737
"Bull Run"	0.041697
"private corporation"	0.0416617
spiel	0.0415189
directorship	0.0413479
eroding	0.0412721
deafness	0.0411461
crevasse	0.0410925
subgenre	0.0410362
"trade route"	0.0408363
"Parti Quebecois"	0.0408315
"takeover target"	0.0407134
M.A	0.0406929
ogre	0.040676
automaton	0.040615
racquet	0.0405027
"political movement"	0.0404794
housemates	0.0403854
shipmate	0.0402781
perestroika	0.0402711
cog	0.0402475
ensign	0.0402453
flashpoint	0.0402041
"Holy Grail"	0.0401918
"piece of music"	0.0400491
))
(avoidance (desc 11399.5) (sims
prevention	0.0882849
Cessation	0.0778459
evasion	0.0732142
harmonization	0.0719913
abolition	0.0690408
reduction	0.0660642
exemption	0.0631488
taxation	0.0629709
Non-Proliferation	0.0626009
Liberalization	0.0618115
"tax avoidance"	0.0610522
containment	0.0591307
"arms control"	0.0573051
elimination	0.0571586
abolishment	0.0559698
mitigation	0.0550504
"fire control"	0.0549226
"free trade"	0.0540598
Implementation	0.0525828
demilitarization	0.052498
suppression	0.051792
integration	0.0512708
sharing	0.0507637
enforcement	0.0499925
eradication	0.0499039
deferral	0.0497351
repatriation	0.0493452
alleviation	0.0487156
lowering	0.0485827
disarmament	0.0483315
strengthening	0.0476597
"property right"	0.0475748
stabilization	0.0474448
scrapping	0.0474297
removal	0.0473439
demarcation	0.0470865
standardization	0.0469462
simplification	0.0468214
redeployment	0.0467675
facilitation	0.0466659
conservation	0.0463143
prohibition	0.0461421
disengagement	0.0461081
nonproliferation	0.045838
"quality control"	0.0457667
compatibility	0.0453051
confidence-building	0.0449949
continuation	0.0438326
restraint	0.0437768
normalization	0.0436859
resumption	0.0434547
legalization	0.043357
denial	0.0432602
enhancement	0.0431998
maintenance	0.0430681
rationalization	0.0429411
postponement	0.0429224
Amity	0.0428062
cancellation	0.0425982
utilization	0.0425289
reconciliation	0.0425236
pricing	0.042476
acceptance	0.0423515
Judaization	0.0422925
tolerance	0.0421089
coordination	0.0419353
diversification	0.041931
resolving	0.0418643
termination	0.0418591
detection	0.0417396
preparedness	0.041289
sterilization	0.0410188
granting	0.0409479
accession	0.0409043
"Black Sea Fleet"	0.0404883
unification	0.0404175
safeguarding	0.0403022
rejection	0.0400895
))
(Avon (desc 5174.99) (sims
"Simon &AMP; Schuster"	0.122059
Riverhead	0.107383
Knopf	0.102915
"Warner Books"	0.102694
Ballantine	0.0913558
"William Morrow"	0.0879522
"Oxford University Press"	0.0866454
"U.S. Trust"	0.0812213
Morrow	0.0795431
HarperCollins	0.0786596
Bridgewater	0.0767279
"Computer Associates"	0.0761705
McGraw-Hill	0.0753903
GANNETT	0.0749257
Sunbeam	0.0733867
"Estee Lauder"	0.0732807
"Chronicle Books"	0.0732028
"Sara Lee"	0.0729668
Enron	0.0720049
"Waste Management"	0.071606
Tupperware	0.0710354
Hyperion	0.0706783
Norton	0.0702801
REVLON	0.0698566
"Henry Holt"	0.0696938
Amway	0.0696737
Schuster	0.0696416
MacMillan	0.0696238
Scripps	0.0691243
HBOC	0.0690185
E-LOAN	0.0677265
"Random House"	0.0675646
"Farrar, Straus &AMP; Giroux"	0.0669705
Conoco	0.0668139
Seagate	0.0664483
Salisbury	0.0663323
Autodesk	0.0657774
McKesson	0.065649
Bantam	0.0655397
Middletown	0.0654725
Corning	0.0654467
Unicom	0.0640051
Kettering	0.0637126
"Fred Meyer"	0.0636255
UAL	0.0636249
Clinique	0.0636096
Mattel	0.0632259
VENATOR	0.0630334
"Levi Strauss &AMP; Co."	0.0627619
"Times Mirror"	0.062701
"Broadway Books"	0.0626751
Marketspan	0.061833
Tropicana	0.0615896
EDS	0.0614077
Greenfield	0.0608438
L'Oreal	0.0608057
Halliburton	0.0606114
Kodak	0.0602432
Berkley	0.0600864
"Circuit City"	0.0600031
Hasbro	0.0599801
SmithKline	0.0597861
Motorola	0.0590777
"Gap Inc."	0.0589654
Fingerhut	0.0585311
"HBO &AMP; Co."	0.0584982
Heinz	0.0584819
AIG	0.0583576
Abrams	0.0580984
Smithfield	0.057817
bethel	0.0576109
BCE	0.0575535
Gillette	0.0575262
Gymboree	0.0572954
Seymour	0.0572061
"Dell Computer"	0.0571527
"Office Depot"	0.0568705
IDG	0.0560152
"Dayton Hudson"	0.0559272
BofA	0.0555649
Weyerhaeuser	0.055545
Delphi	0.0554938
Colgate-Palmolive	0.0552404
CCE	0.0551977
Raytheon	0.0550539
Ipswich	0.0548765
Amoco	0.0548303
"Pocket Books"	0.0548192
"Union Carbide"	0.0547305
Milford	0.0546984
Lancome	0.0546194
Oxford	0.0546184
"John Hancock"	0.054503
Wiley	0.0544916
Waterbury	0.054442
Stratford	0.0544055
Coca-Cola	0.0542622
Stamford	0.0542126
Honeywell	0.0541402
Beverly	0.0539661
Saks	0.053722
RJR	0.0535606
ARCO	0.0534209
Watertown	0.0533753
Windsor	0.0533438
"Old Navy"	0.0533085
Ameritech	0.0531993
"Silicon Graphics"	0.0531058
"J.C. Penney"	0.0530947
Easton	0.0529726
Kroger	0.052972
Xerox	0.0529708
"Oracle Corp."	0.0529009
Dell	0.0525422
Checkfree	0.0524559
Biogen	0.0524047
"Houghton Mifflin"	0.0523732
Fairfield	0.0521659
Pepsico	0.0520539
"Knight Ridder"	0.051873
"Modern Library"	0.0518673
Algonquin	0.0518442
Georgia-Pacific	0.051793
"P&AMP;G"	0.0517366
E-Trade	0.0516421
GPU	0.0515813
Dutton	0.051483
Chevron	0.0512898
Farmington	0.05103
"Fall River"	0.0509529
oracle	0.0508794
Waterford	0.0508499
AlliedSignal	0.0506669
Penney	0.05053
"Niagara Mohawk"	0.0505116
"National Semiconductor"	0.0504451
Carlisle	0.0503461
Kmart	0.0502205
"Symantec Corp."	0.0500112
Tokaimura	0.0499861
Cisco	0.0496878
"San Miguel"	0.0496564
PictureTel	0.0495997
BankBoston	0.0494693
Doubleday	0.0493953
Webvan	0.0493459
HP	0.0491396
NiSource	0.0488774
SkyTel	0.0487916
"Fort Wayne"	0.0486618
Chatham	0.048544
Evansville	0.0485315
"J&AMP;J"	0.0484133
Vernon	0.0483965
"Procter &AMP; Gamble"	0.0483554
CVS	0.0483202
"RJR Nabisco"	0.0481738
Scribner	0.0481665
Esso	0.0481371
Cheshire	0.0480848
WebMD	0.0479908
Nabisco	0.0479634
"Toys R Us"	0.0478853
Burlington	0.0478407
Sybase	0.0477603
Pitney	0.0477116
"Kraft Foods"	0.0476678
Walmart	0.0475884
NCR	0.0475415
Symantec	0.0475264
Genentech	0.0475023
NIKE	0.0474757
Wilton	0.0471514
"Orange County Register"	0.0471002
Compaq	0.0471001
Norwalk	0.0470965
Middlebury	0.0470367
Starwood	0.0470318
Peterborough	0.0469974
Albertson's	0.0469733
Salem	0.0467521
Comsat	0.0467483
Hewlett-Packard	0.0465212
"Dell Computer Corp."	0.0464619
"MindSpring Enterprises"	0.0464206
Exxon	0.0464003
"Apple Computer"	0.0463831
YankeeNets	0.0463035
"El Segundo"	0.0461676
Aetna	0.0460908
Mansfield	0.0460498
EMC	0.0460446
"Sharper Image"	0.0459663
ITT	0.0459573
"Conde Nast"	0.0459536
PEOPLESOFT	0.0459134
Walkerton	0.0458601
Priceline	0.045821
CNET	0.0457988
"Coca-Cola Co."	0.0457705
))
(Avondale (desc 3637.8) (sims
"Newport News"	0.254438
"U.S. Trust"	0.196781
ENTERGY	0.174889
Litton	0.174382
Bestfoods	0.172989
NatWest	0.169223
"U S West"	0.168962
Asarco	0.163812
"Niagara Mohawk"	0.163775
ALZA	0.161268
COLTEC	0.159619
ARCO	0.158628
NiSource	0.156168
ascend	0.152362
Warner-Lambert	0.150644
Pairgain	0.150584
Ingalls	0.1504
"Union Carbide"	0.147237
"Thermo Electron"	0.146725
RJR	0.146407
VoiceStream	0.145693
"Bankers Trust"	0.143506
Comsat	0.143485
Airtouch	0.143449
Mannesmann	0.13989
"MediaOne Group"	0.139363
Alcan	0.136385
SmithKline	0.135432
"Bankers Trust Corp."	0.134808
Ciena	0.131325
Paribas	0.130414
"Times Mirror"	0.128337
Mediaone	0.128168
NORTHROP	0.126847
SkyTel	0.125936
"Y&AMP;R"	0.12572
"HBO &AMP; Co."	0.123244
Humana	0.122988
McKesson	0.121697
"Telecom Italia"	0.121493
Petrofina	0.121383
"US Airways"	0.119305
Seagram	0.118385
AMR	0.118243
"Times Co."	0.117416
"Atlantic Richfield"	0.117059
"Atlantic Richfield Co."	0.116853
Emulex	0.115518
"American Home"	0.115242
"Phelps Dodge"	0.114213
Lilco	0.114062
"Fred Meyer"	0.113984
TCI	0.113855
GTE	0.113617
"Air Canada"	0.113612
Mobil	0.113459
TYCO	0.112242
"Bay Networks"	0.112097
"Times Mirror Co."	0.111891
BofA	0.11176
Cendant	0.111321
Qwest	0.111247
"Learning Co."	0.110575
"RJR Nabisco"	0.11046
Aetna	0.109622
Daimler	0.10959
"Northeast Utilities"	0.109544
"Nippon Credit"	0.108169
Cerent	0.107689
Warnaco	0.107027
Bristol-Myers	0.10622
"Waste Management"	0.105287
Nabisco	0.105196
Infoseek	0.104381
Ameritech	0.104281
Amoco	0.103904
"Frontier Corp."	0.102201
"Mobil Corp."	0.102115
Broderbund	0.101666
BankBoston	0.101511
"Royal Bank"	0.100996
Tenneco	0.100433
"Societe Generale"	0.0999895
SDL	0.0998338
Broadcast.com	0.0997253
Healtheon	0.0996383
Glaxo	0.0991859
Chiron	0.0988788
Chris-Craft	0.0980865
"Ben &AMP; Jerry"	0.0978907
"KCP&AMP;L"	0.0977662
BankAmerica	0.0974686
Sunbeam	0.097417
"P&AMP;G"	0.097328
GPU	0.0966012
MCI	0.096565
"Rite Aid"	0.0965375
GeoCities	0.0964656
"Chrysler Corp."	0.0964354
"BankBoston Corp."	0.0962092
"America West"	0.0961531
Fingerhut	0.0952803
Overnite	0.0950418
Vivendi	0.0947043
"Airtouch Communications"	0.0946019
Genentech	0.094504
GEC	0.0944993
Conoco	0.0943375
Genzyme	0.0937169
"National Grid"	0.0936235
WPP	0.0931693
"Ameritech Corp."	0.0931178
GANNETT	0.0929883
"Global Crossing"	0.0924417
Honeywell	0.0922348
AHP	0.0910769
CUC	0.0909753
"Computer Associates"	0.0909518
Halliburton	0.0896107
"Chronicle Publishing"	0.0895096
EarthLink	0.0889937
Delphi	0.0888532
Viacom	0.0884631
HBOC	0.0883243
"Burlington Northern"	0.0879928
MiniMed	0.0879769
Reynolds	0.0878088
CSX	0.0874159
"U S West Inc."	0.0873467
WebMD	0.0871085
"International Paper"	0.0870569
WorldCom	0.0869145
Telefonica	0.0868454
"Wells Fargo"	0.0864984
Raytheon	0.0863836
Conrail	0.0861598
"Berkshire Hathaway"	0.086044
ENTREMED	0.0860426
SBC	0.0859095
VICKERS	0.0858041
Norwest	0.0857793
Sibneft	0.0855798
Astra	0.0854007
Omnipoint	0.0852068
"Lycos Inc."	0.0849718
Asda	0.084891
Conseco	0.0848702
Hasbro	0.0847378
ExciteAtHome	0.0846983
Seagate	0.0846891
"Sara Lee"	0.0845195
Lycos	0.0843497
YPF	0.0840779
Livent	0.0838958
Starwood	0.083468
"Sprint Corp."	0.0831232
Kia	0.0825906
E-LOAN	0.0822463
"Food Lion"	0.0819749
"Netscape Communications"	0.0818545
UAL	0.0817868
Bridgestone	0.0816946
Mattel	0.0815028
BCE	0.0808395
"Time Warner"	0.0808306
"Gap Inc."	0.080713
MetLife	0.0805553
"US West"	0.0805141
Marketspan	0.080188
"Ford Motor Company"	0.0800941
Exxon	0.0799784
"Con Ed"	0.0799532
Lockheed	0.0799357
Webvan	0.0798032
Paxson	0.0794123
MindSpring	0.0793212
PLDT	0.0793093
Pharmacia	0.0792732
"Hambrecht &AMP; Quist"	0.0791157
"Cadbury Schweppes"	0.0791148
VENATOR	0.0790238
"Boston Scientific"	0.0788736
"Rolls-Royce Motor Cars"	0.0788587
"ELF AQUITAINE"	0.0787558
Goodrich	0.0787482
Texaco	0.0787239
"Digital Equipment"	0.0786834
"Lotus Development Corp."	0.0786534
ITT	0.0785893
Vodafone	0.0785609
AMP	0.0785332
KPN	0.0784005
PRIMESTAR	0.0781734
Clorox	0.0780902
Terra	0.0780631
"Dow Chemical"	0.0778982
Monsanto	0.0778268
PolyGram	0.0775427
"Orange PLC"	0.077525
IDT	0.0774327
))
(Avonex (desc 1321.98) (sims
Propulsid	0.283914
Herceptin	0.247795
Prilosec	0.236113
ENBREL	0.217493
LIPITOR	0.216228
Relenza	0.206324
tamoxifen	0.204262
Xenical	0.200742
Zocor	0.195319
Claritin	0.194001
Celebrex	0.186636
Zoloft	0.185695
AZT	0.182874
raloxifene	0.181066
Rezulin	0.17746
Epogen	0.173113
TPA	0.168719
thalidomide	0.165918
nevirapine	0.155458
penicillin	0.149496
interferon	0.140067
Endostatin	0.137153
mifepristone	0.136374
Taxol	0.131977
Ritalin	0.131285
Redux	0.127038
Prozac	0.125221
viagra	0.12462
Propecia	0.121388
RU-@@@	0.120606
"St. John's wort"	0.119658
"human growth hormone"	0.119007
methadone	0.115784
Phentermine	0.113112
GHB	0.112594
Pondimin	0.108519
Erythropoietin	0.106649
fenfluramine	0.106323
nitroglycerin	0.103795
EPO	0.100893
adenovirus	0.0959369
Botox	0.0954171
stanozolol	0.089693
Fen-Phen	0.0884333
antibiotic	0.0855324
methamphetamine	0.0816041
Vioxx	0.0813543
cortisone	0.0809941
aspirin	0.0805902
leptin	0.0804562
inhibitor	0.0799385
echinacea	0.0794659
clenbuterol	0.0792798
"growth hormone"	0.0791507
melatonin	0.0789129
anesthetic	0.0780977
"vitamin E"	0.0772341
painkiller	0.0743707
hGH	0.0742381
"alcoholic beverage"	0.0736662
steroid	0.0735806
stents	0.0729323
Zyvox	0.0724841
hypnosis	0.0724519
"hand-held computer"	0.0706249
"Long-Term Credit Bank"	0.0701833
Marlboros	0.0698653
"application program"	0.0696851
chemotherapy	0.0693899
insulin	0.0692957
morphine	0.0692834
olestra	0.0688318
ecstasy	0.068626
creatine	0.068497
Win@@	0.0678931
kava	0.0658207
"liquefied natural gas"	0.0658204
Novartis	0.0655883
tranquilizer	0.0653651
copier	0.0652332
"solar cell"	0.0646592
Benecol	0.0641178
anti-inflammatory	0.0626824
contraceptive	0.0621335
"gas turbine"	0.0621104
Norplant	0.0619197
Paxil	0.0617728
androstenedione	0.0613439
adrenalin	0.0608555
LSD	0.0606362
"Nippon Credit"	0.0603887
ephedrine	0.0603618
"sleeping pill"	0.0601319
amphetamine	0.0599918
ketamine	0.0593102
cannabis	0.0589942
"mainframe computer"	0.0588314
yearling	0.058816
VFA	0.0586518
handset	0.0584737
acetaminophen	0.0583734
"nearly $@.@ billion"	0.058153
blocker	0.0581198
vitamin	0.0578034
"two units"	0.0576566
ZCCM	0.0569158
diuretic	0.05685
subcompact	0.0566489
OS/@	0.0565694
"household product"	0.0565582
"storage device"	0.0562282
ibuprofen	0.0559645
chloride	0.0557097
opiate	0.055375
Tylenol	0.0548535
pretax	0.0548161
"one ton"	0.0547696
andro	0.0546829
sulfate	0.0544973
"nine million"	0.054492
psychotherapy	0.0544034
"prescription medicine"	0.0538305
"More than two million"	0.0536708
estrogen	0.0532201
"Zambia Consolidated Copper Mines"	0.053088
antihistamine	0.0527685
Gnutella	0.0526232
irradiation	0.0526147
"consumer electronics"	0.0526044
"Lincoln Bedroom"	0.0523834
"Microsoft Office"	0.0523694
"sheet music"	0.0522629
"Thomas Youk"	0.0521724
"Palm VII"	0.0520794
"equity investment"	0.0520741
"Rolls-Royce Motor Cars"	0.0520668
angiostatin	0.0520509
cheerio	0.0519948
"nearly $@@ billion"	0.0515788
"season ticket"	0.051265
Athlon	0.0511563
"passenger car"	0.0508955
"about @ billion dollars"	0.0508564
Kleenex	0.0508319
supercomputers	0.0508228
"soybean oil"	0.0508072
generics	0.0501376
"Balanced Budget Act"	0.0501085
"Liberty Media"	0.0496632
"Gary Graham"	0.0494607
Dreamcast	0.0493284
E-ZPass	0.0493141
"electric car"	0.0490978
"Pepsi Cola"	0.048909
lithium	0.0488769
"Playstation II"	0.0487441
WebTV	0.0486945
placebo	0.0486582
"laser printer"	0.048603
lycopene	0.0484198
Chemo	0.0483231
Healtheon/WebMD	0.0481742
"breast implant"	0.0480937
"vitamin C"	0.0480875
"specialty chemical"	0.047961
razor	0.0477112
"citric acid"	0.0475509
"Nippon Credit Bank"	0.0474794
pasteurization	0.0472702
"software product"	0.0472444
dram	0.0469381
"chewing gum"	0.0468407
Measures	0.0468266
iMacs	0.0467662
"building product"	0.0466758
"frozen foods"	0.0466128
"Kyoto Protocol"	0.0465616
PolyGram	0.0464607
radiotherapy	0.0463976
laxative	0.0462425
"minority stake"	0.0461028
"two billion US dollars"	0.0459676
granule	0.0459196
ephedra	0.0459142
Valium	0.0459078
third-quarter	0.0458743
"START II"	0.0458555
"nearly @@@ million yuan"	0.0456664
workstation	0.0456373
lozenge	0.0455646
Thomson	0.0455314
suture	0.0455222
"Jeep Grand Cherokee"	0.0454444
dosage	0.0453493
nandrolone	0.0452938
DSP	0.0452887
reagent	0.0452258
Gatorade	0.0451118
Unix	0.0450303
"almost $@ billion"	0.0449775
))
(Aw (desc 1992.08) (sims
oh	0.0919786
Gee	0.0881586
Yazdi	0.0737606
Osmond	0.0707745
spammers	0.0657827
Kozeny	0.0649105
Rosales	0.0626531
Isner	0.0623252
Cooley	0.0607955
Espinosa	0.060369
Congeniality	0.0602752
Manners	0.0600215
Giordano	0.0587325
Grossberg	0.0581182
Brawley	0.057229
piggy	0.0572228
Montiel	0.0572178
Morgenthau	0.0569267
Sills	0.0558462
Drabinsky	0.0556718
Bertha	0.0544661
Moxley	0.0532913
Pearson	0.0519122
romano	0.0506127
Kalejs	0.0504439
Bacall	0.0499556
TYCO	0.0492685
Ballmer	0.0491893
Starwood	0.0489115
"Bernie Ecclestone"	0.0486531
"Tom Welch"	0.0485604
Vulcan	0.0477496
Tanaka	0.0470355
Wenger	0.0468426
Eduardo	0.046274
Fonda	0.0451437
Protas	0.0449553
Stayner	0.0444993
Longo	0.0436729
"Publishers Clearing House"	0.0433337
gosh	0.0424187
RJR	0.0423137
Reimer	0.0420524
Emerson	0.0419638
FIDEL	0.0418651
Regan	0.0417867
Martorano	0.0414773
Mahomes	0.0413864
Blackthorne	0.0413708
Pirelli	0.0409907
Beltran	0.0406974
McMullen	0.0403852
Buffett	0.0401019
Coia	0.0400799
))
(AWACS (desc 1416.81) (sims
TU-@@@	0.199251
"electronic warfare"	0.179924
warthog	0.175076
A@@@-@@@	0.160875
AN-@@	0.157252
C-@@	0.143765
widebody	0.141557
P-@	0.137944
C-@	0.135125
SU-@@	0.13363
"Airbus A@@@"	0.131733
Il-@@	0.129251
C-@@@J	0.125949
A@@@	0.125683
MiG-@@	0.124153
"Stage @"	0.124029
Mig	0.123403
A-@@@	0.122628
Harrier	0.122172
C-@@@	0.117186
Orion	0.115681
F-@	0.115523
"Airbus @@@"	0.112284
turboprop	0.109854
IAF	0.108483
DC-@@	0.107237
"Cessna @@@"	0.10673
"Indian Air Force"	0.105827
reconnaissance	0.105512
thunderbolt	0.104563
"Indian Airlines"	0.103494
THAAD	0.102751
"China Airlines"	0.102377
Cessna	0.102009
MD	0.0990211
"electronic surveillance"	0.0973332
A-@@	0.0959827
two-seater	0.0947605
F-@@	0.0910419
SDH	0.0906099
jamming	0.0903881
"surface ship"	0.0899248
RAF	0.0898608
"Royal Air Force"	0.0877862
"Gulf Air"	0.0866061
"Kenya Airways"	0.0862961
"Turkish Airlines"	0.0859787
avionics	0.0859729
"Ethiopian Airlines"	0.0847148
"Air France Concorde"	0.0844425
B-@	0.0842818
MD-@@	0.0834012
DC-@	0.0830501
Prowler	0.0828229
"spy satellite"	0.0811654
"ground attack"	0.0794186
"fire control"	0.0779977
F@@	0.0778816
gunship	0.0777774
osprey	0.0768285
Hercules	0.0763177
videophone	0.0762036
A-@	0.0760353
"Korean Air"	0.0753871
X-@@	0.075214
"U.S. Navy"	0.0749862
GPS	0.0748677
F-@@@	0.0747336
drone	0.0746592
"air defense"	0.074619
stealth	0.0745661
McDonnell	0.0741013
Embraer	0.0728146
CDMA	0.0719101
piper	0.0704502
"night vision"	0.0702926
fumigation	0.070188
JetBlue	0.0700446
gunboat	0.0692444
"up to six"	0.0690919
"data communication"	0.0689165
Iberia	0.0688794
"U.S. Air Force"	0.0683625
V-@@	0.0673281
kamikaze	0.0667252
glider	0.0666015
A@XX	0.0661308
"intercontinental ballistic missile"	0.0657664
MiG-@@s	0.0654555
"Air India"	0.0654
aperture	0.0653662
JAT	0.0652175
Emery	0.0646992
oil-for-food	0.0644618
airforce	0.0643916
Propulsid	0.0621056
USAir	0.0618019
"patrol ship"	0.0615922
"fighter aircraft"	0.0611112
Aeroflot	0.0607369
"early warning system"	0.060708
EgyptAir	0.0603259
Concorde	0.0602521
aegis	0.0601719
Filtration	0.0597233
tomcat	0.0591121
F-@@s	0.0582321
Airlines	0.0581195
"aircraft carrier"	0.0581181
"McDonnell Douglas"	0.0579499
Comair	0.0577202
automation	0.0575864
frigate	0.0575608
IDT	0.0575372
"traffic control"	0.057417
filtering	0.0566044
KLM	0.0564605
double-decker	0.0559357
"Pan Am"	0.0555148
E-ZPass	0.0554135
T-@@	0.0551358
scuba	0.054956
Mirage	0.0549436
telemedicine	0.0546477
"Alaska Airlines"	0.054634
polygraph	0.0542424
B-@@	0.0539561
NMD	0.0537674
ABM	0.0537537
"Joint Strike Fighter"	0.0528453
"Virgin Atlantic"	0.0528055
"steam turbine"	0.0527635
"South African Airways"	0.0527511
purification	0.0527338
imaging	0.052698
U@	0.0523224
sonar	0.0521417
foundering	0.0515054
meteorology	0.0514991
onboard	0.0506407
"transport ship"	0.0506399
"local area network"	0.0506345
"guided missile"	0.0500649
K-@	0.0500534
"optical fiber"	0.0500483
spotter	0.0498917
IC	0.0495901
"American plane"	0.0492315
"telephone network"	0.0491986
"blue angel"	0.0491519
Cunard	0.0490891
Qantas	0.0490768
boarding	0.0490426
duster	0.0489527
"information gathering"	0.0488753
"communications equipment"	0.0487968
"mountain climbing"	0.0487352
UTA	0.0485446
"weather forecasting"	0.0484988
interceptor	0.0483594
fighter-bombers	0.0483186
Alitalia	0.048265
"community newspaper"	0.0480232
triangulation	0.04752
"military training"	0.0474845
"Airbus Industrie"	0.0471814
midrange	0.047075
snorkel	0.0470373
propeller	0.0466863
transponder	0.0466228
airmen	0.0465716
"El Al"	0.0465682
"communication network"	0.0464974
ICBM	0.0464725
"wireless telephone"	0.0464677
"merchant marine"	0.0464673
"flight simulator"	0.046434
Westinghouse	0.0460632
"surface-to-air missile"	0.0458861
"computer hardware"	0.0458594
destroyer	0.0458195
MiGs	0.0457878
ADSL	0.0457714
p@@	0.0457348
"sailing vessel"	0.0455653
GSM	0.0455415
spaceflight	0.0452358
"up to seven"	0.0450604
armament	0.0447947
"mass transit"	0.044717
"Thai Airways"	0.0445053
"attack aircraft"	0.0444453
waterworks	0.0444268
"Eastern Airlines"	0.0442765
"Three hundred"	0.0442341
"athletic facility"	0.0442148
carnivore	0.044044
Aris	0.043959
"Japan Airlines"	0.0439505
supercomputers	0.0438341
))
(Awakening (desc 9178.67) (sims
waking	0.108248
epiphany	0.0835087
rebirth	0.0708613
catharsis	0.0643804
uplift	0.0610942
enlightenment	0.0583511
absolution	0.0554515
relapse	0.0530649
redemption	0.0527236
transformation	0.0524768
rejuvenation	0.0524369
jolt	0.0524115
coming-out	0.0521568
resurrection	0.0520519
"identity crisis"	0.0518485
upheaval	0.0507568
cataclysm	0.0505921
deliverance	0.0505549
"birthday present"	0.0503091
send-off	0.0502113
up-and-down	0.0501848
torment	0.0498097
inclination	0.049673
sustenance	0.0495332
miscarriage	0.0491406
overload	0.0489968
duality	0.0483526
bonding	0.0482094
metamorphosis	0.0480961
Addiction	0.0480037
sendoff	0.0479671
gratification	0.0477002
betrayal	0.0476985
stirring	0.0474572
emptiness	0.0473984
u-turn	0.0473331
"pain in the neck"	0.0472154
schism	0.0471851
restlessness	0.04701
dysfunction	0.0470096
thaw	0.0469968
"inferiority complex"	0.0468917
indoctrination	0.0468023
inkling	0.0466805
togetherness	0.046657
healing	0.0461835
flareup	0.0459773
letdown	0.0459279
undercurrent	0.0458522
dawning	0.0458304
compulsion	0.0458276
turnaround	0.0455124
homecoming	0.0454806
resurgence	0.0454708
"change of mind"	0.0454587
apocalypse	0.0454352
convulsion	0.0453032
shakeout	0.0451432
heartache	0.0448329
comeuppance	0.0446391
entanglement	0.0443268
soulmate	0.0443084
subtext	0.0441853
"Christmas present"	0.0441783
groundswell	0.0441645
indignity	0.044125
connotation	0.0440891
maturation	0.0440482
inhibition	0.0440009
reformation	0.0439542
transcendence	0.0439308
"good fortune"	0.0439198
Grounding	0.0437912
"name change"	0.0437318
McCarthyism	0.043518
outpouring	0.043331
yearning	0.0432308
payback	0.0430591
consolation	0.0430515
nourishment	0.0430223
"warning signal"	0.0428391
breakdown	0.0427897
equilibrium	0.0427761
"soul mate"	0.0425353
upturn	0.042518
salvation	0.0424284
"face lift"	0.0423579
upsurge	0.0422046
frailty	0.0421921
bullishness	0.0421529
revelation	0.0419506
wholeness	0.0419122
estrangement	0.0418801
miscalculation	0.0418388
blossoming	0.0418347
variability	0.0418249
backlash	0.0418234
malfunction	0.0417952
frisson	0.0416169
anguish	0.0416087
ambivalence	0.0415544
ferment	0.0415161
vindication	0.0414432
"religious movement"	0.0414318
flare-up	0.0412705
confession	0.0412331
relaxation	0.041208
turnabout	0.0411831
tightrope	0.0411747
"four-letter word"	0.0411694
finality	0.0411644
activism	0.0410791
renewal	0.0410571
travelogue	0.0410493
coronation	0.0410017
Catch-@@	0.04097
freebie	0.0409114
longing	0.0406466
eagerness	0.0405437
purity	0.0404764
impulse	0.0404677
intimacy	0.0404146
mammogram	0.0403967
menopause	0.040386
overtone	0.0403805
disorientation	0.040312
trauma	0.0402592
seduction	0.0402195
free-for-all	0.0401561
))
(Awami (desc 2677.82) (sims
"Awami League"	0.320054
Jamaat-e-Islami	0.212778
"Bangladesh Nationalist Party"	0.203791
"Jatiya Party"	0.187056
"Pakistan Muslim League"	0.179303
"Nepali Congress"	0.161998
"Bharatiya Janata Party"	0.134409
"United National Party"	0.120424
"Khaleda Zia"	0.119145
"Kenya African National Union"	0.118056
"Zimbabwe African National Union-Patriotic Front"	0.116066
"New Democracy"	0.115288
BNP	0.111208
"Begum Khaleda Zia"	0.110886
"United Malays National Organization"	0.107048
Renamo	0.10672
"Democratic Left"	0.105146
"National Democratic Alliance"	0.102464
"Socialist Party"	0.101804
"Gulbuddin Hekmatyar"	0.101367
"National League for Democracy"	0.0993028
"Motherland Party"	0.0985121
"Congress Party"	0.098351
"National Resistance Movement"	0.0981542
"Grand National Party"	0.0972348
BJP	0.097022
"Social Democratic Party"	0.0966357
"Democratic Progressive Party"	0.0964368
"United Liberal Democrats"	0.0956574
"Pakistan People's Party"	0.0952954
"United Front"	0.0938549
UNIP	0.0931006
"United National Independence Party"	0.0917466
"New Korea Party"	0.0913967
"Christian Social Union"	0.0909837
ZANU	0.0904495
"Croatian Democratic Union"	0.090354
"Social Democrats"	0.089752
"Justice Party"	0.0896783
"People's Alliance"	0.0891146
"National Democratic Party"	0.0890739
NC	0.0883956
"People's Party"	0.0882702
"Institutional Revolutionary Party"	0.0882138
"Christian Democratic Union"	0.0876874
FUNCINPEC	0.087536
"Colorado Party"	0.0871883
FRELIMO	0.0870445
"Democrat Party"	0.0868362
"National Party"	0.0866686
"African National Congress"	0.0866575
"Barisan Nasional"	0.085478
"Cambodian People's Party"	0.0837165
"Sam Rainsy Party"	0.0833613
"Islamic Resistance Movement"	0.0831467
FORD-Kenya	0.0830399
"Liberal Democratic Party"	0.0825189
"Christian Democrats"	0.0821571
PASOK	0.0810184
CPN-UML	0.0806536
"Democratic Left Party"	0.0802975
"Civic Democratic Party"	0.0791265
Lakas-NUCD	0.0784776
"Janata Dal"	0.0783726
"popular front"	0.0782437
"Virtue Party"	0.077594
"People's Democratic Party"	0.0763518
Hezb-i-Islami	0.076028
"Benazir Bhutto"	0.0752106
"National Action Party"	0.0752066
"National Action"	0.0735199
Zanu-pf	0.0732663
"Deve Gowda"	0.0731057
"National Front"	0.0730688
"Canadian Alliance"	0.0728581
"New National Party"	0.0728479
Meretz	0.0724402
"Indonesian Democratic Party"	0.0722565
"Golkar Party"	0.0715145
"Serbian Renewal Movement"	0.0713121
"Council of State"	0.071205
Safina	0.0711518
"Rwandan Patriotic Front"	0.0703804
"Afghan Taliban"	0.0703333
"Liberal Party"	0.0700935
"Democratic Revolution Party"	0.0700359
"Labor Party"	0.0699864
CPP	0.0697319
"Free Democrats"	0.0696257
"National Union for Total Independence"	0.0695159
MPLA	0.0693275
NDA	0.068411
PML	0.0677855
"Ali Mahdi Mohamed"	0.0677491
"Conservative Party"	0.0677099
"World Jewish Congress"	0.0676377
"Amien Rais"	0.0670035
"National Liberation Front"	0.0668419
socialist	0.0667959
"New Aspiration Party"	0.066711
"Parti Quebecois"	0.0665054
"Dhaka Stock Exchange"	0.0661038
"Revolutionary Party"	0.0660812
"Megawati Sukarnoputri"	0.0659363
"Nationalist Party"	0.0657991
"General Council"	0.0657028
"Jean-Marie Le Pen"	0.0656728
"Board of Investment"	0.0655745
"Welfare Party"	0.0646848
Likud	0.0646699
UNP	0.0645599
"Rashid Dostum"	0.0644398
"Sam Rainsy"	0.0641921
"H.D Deve Gowda"	0.0629713
"Likud Party"	0.0627691
"Radical Party"	0.0627097
"Meretz Party"	0.062648
"True Path Party"	0.0624355
"Vojislav Kostunica"	0.0624047
"Gennady Zyuganov"	0.062391
"National Congress"	0.0619906
"Inkatha Freedom Party"	0.0619236
"Executive Committee"	0.0616339
"Sudan People's Liberation Army"	0.060893
"Liberal Democrats"	0.0606298
"State Peace and Development Council"	0.0605553
"Islamic Salvation Front"	0.0596048
"Johnny Paul Koroma"	0.0595743
JP	0.0595413
Yabloko	0.0594297
"National Union"	0.0593414
"Serbian Radical Party"	0.0591865
"P.V Narasimha Rao"	0.0591552
NRM	0.0588202
PML-N	0.0586039
"Baath Party"	0.058538
"Nhan Dan"	0.0581616
"Helen Clark"	0.057801
"New Komeito"	0.0576266
RPR	0.0575728
Zajedno	0.057347
"Megawati Soekarnoputri"	0.0571918
"United Democratic Movement"	0.0571775
"Vietnamese Communist Party"	0.0570928
"Atal Behari Vajpayee"	0.0567986
Thyssen	0.0566917
"Popular Party"	0.0566327
UMNO	0.0565447
"Ulster Unionist Party"	0.0565119
"Inder Kumar Gujral"	0.0560013
"Pakalitha Mosisili"	0.0558752
"Democratic Action"	0.055851
CCM	0.0555946
PPP	0.0554211
Bhutto	0.0549451
"National Council of Churches"	0.0547873
center-right	0.0547614
"U.S. Soccer Federation"	0.0546897
"election commission"	0.0546324
"Nawaz Sharif"	0.0545286
"Revolutionary Command Council"	0.0543419
"South Asian Association for Regional Cooperation"	0.054299
Koirala	0.054163
"Freedom Front"	0.0539438
"Chinese Communist Party"	0.0538857
"King Mswati III"	0.0537529
"Hussein Aidid"	0.0537322
"Ali Mahdi"	0.0534764
"American Association of Retired Persons"	0.0533486
"Freedom Party"	0.053297
"John Major"	0.0532394
"Silvio Berlusconi"	0.0530447
"Chinese Olympic Committee"	0.0528995
"Vladimir Meciar"	0.0528913
ENTREMED	0.0528523
"Center Party"	0.0525766
"Christian Democratic Party"	0.0523949
"National Alliance"	0.0523641
Kanu	0.0523183
"Democratic Revolution"	0.0521739
"Chea Sim"	0.0518353
"George Speight"	0.0517754
"Tomiichi Murayama"	0.0516449
"Charles Taylor"	0.0513183
Musharraf	0.0512664
"Funcinpec Party"	0.0512373
"Mesut Yilmaz"	0.0511956
Meles	0.05114
Tory	0.0509202
PDP	0.0508931
SPD	0.0508381
"Vladimir Zhirinovsky"	0.0508008
"Russian Communist Party"	0.0507577
Golkar	0.0506651
Deuba	0.0504199
"Green Party"	0.0501989
"Gaullist Rally"	0.0501895
"International Brotherhood"	0.0501432
"Vaclav Klaus"	0.0500737
"Democratic Unionist Party"	0.0499237
))
("Awami League" (desc 4973.43) (sims
Awami	0.320054
"Bangladesh Nationalist Party"	0.288522
BNP	0.256805
Jamaat-e-Islami	0.250289
"Nepali Congress"	0.187842
"Jatiya Party"	0.186432
"Kenya African National Union"	0.182312
"Bharatiya Janata Party"	0.17767
CPN-UML	0.175154
"Pakistan Muslim League"	0.169167
FRELIMO	0.168969
"National League for Democracy"	0.159904
"Socialist Party"	0.159269
BJP	0.151745
MPLA	0.149713
"Janata Dal"	0.144469
"United Democratic Movement"	0.142279
Renamo	0.14082
"Congress Party"	0.135774
"African National Congress"	0.133794
UNIP	0.132972
"People's Party"	0.13126
"United National Party"	0.130935
"Democratic Left"	0.127849
"National Democratic Party"	0.126942
RPP	0.126471
Kanu	0.126027
PASOK	0.125335
"United Malays National Organization"	0.124438
"United National Independence Party"	0.124229
"Canadian Alliance"	0.123683
"New Korea Party"	0.122271
"People's Alliance"	0.122016
"Christian Social Union"	0.121272
NC	0.12118
CPP	0.120783
CDU	0.120152
"National Front"	0.118578
"Pakistan People's Party"	0.118552
MQM	0.118256
"National Action"	0.118076
"Christian Democratic Union"	0.117201
"Institutional Revolutionary Party"	0.117094
"Democrat Party"	0.117069
"National Party"	0.116981
"Zimbabwe African National Union-Patriotic Front"	0.116927
"New Aspiration Party"	0.116612
"Cambodian People's Party"	0.115853
"Popular Party"	0.114588
MMD	0.114344
"Liberal Democratic Party"	0.113897
"United Front"	0.113652
PML	0.113463
"Inkatha Freedom Party"	0.112203
"Croatian Democratic Union"	0.112107
UML	0.111272
Lakas-NUCD	0.110988
"Labor Party"	0.110946
UNP	0.110781
FUNCINPEC	0.109929
"Herri Batasuna"	0.109587
"Ulster Unionist Party"	0.108851
Yabloko	0.107371
ZANU	0.107
Otpor	0.106826
"National Resistance Movement"	0.106585
"Social Democrats"	0.105792
"Likud Party"	0.104885
Zanu-pf	0.103871
"Indonesian Democratic Party"	0.103376
"People's Democratic Party"	0.103175
Golkar	0.103104
"Barisan Nasional"	0.103029
"Social Democratic Party"	0.102933
PML-N	0.102558
"Liberal Democrats"	0.10133
Likud	0.100318
"Islamic Salvation Front"	0.100191
UF	0.10006
"Serbian Renewal Movement"	0.0993459
"Colorado Party"	0.0991918
"Social Democratic"	0.0990892
"Begum Khaleda Zia"	0.0984077
"Communist Party"	0.0976271
"Golkar Party"	0.0966555
Zajedno	0.0964338
"Democratic Party"	0.0958516
CCM	0.0951727
"Christian Democrats"	0.0951589
RPR	0.0949071
PDP	0.0948925
socialist	0.0938816
"Rwandan Patriotic Front"	0.0935616
al	0.0932886
ANC	0.0931257
ZCTU	0.0927175
"Conservative Party"	0.092711
PPP	0.0921631
"Nationalist Party"	0.0918609
"New Democracy"	0.0916056
"Liberal Party"	0.091043
NP	0.0908109
"Muslim Brotherhood"	0.0905177
"United Liberal Democrats"	0.0903116
"Sam Rainsy Party"	0.0902479
"Ulster Unionists"	0.0898222
"Parti Quebecois"	0.0896939
Fatah	0.0891817
Meretz	0.088928
LDP	0.0884649
PRI	0.0881875
FORD-Kenya	0.0880402
BN	0.0880264
PA	0.0879447
UDF	0.0876267
"Vietnamese Communist Party"	0.0874896
Tory	0.0872887
"trade union"	0.0867702
NLD	0.0866173
"political party"	0.0864913
OCA	0.0863731
SPD	0.0860526
"National Action Party"	0.0859353
"Pan Africanist Congress"	0.085786
"Russian Communist Party"	0.0848492
"Grand National Party"	0.0848054
"Civic Democratic Party"	0.0842021
"National Religious Party"	0.084124
"Labour Party"	0.0840755
"Islamic Resistance Movement"	0.0839368
"National Democratic Alliance"	0.0834781
"popular front"	0.0834351
"U.S. Soccer Federation"	0.0826405
"Democratic Action"	0.0825899
"Democratic Progressive Party"	0.0824032
"State Peace and Development Council"	0.0819178
"Freedom Union"	0.0812555
"Khaleda Zia"	0.0811257
JP	0.0807245
"National Liberation Front"	0.0800247
"Serbian Radical Party"	0.0795202
center-right	0.0788569
PCF	0.0786663
DYP	0.0785429
"Islamic Movement"	0.0776759
FN	0.07746
"Justice Party"	0.0773099
"Baath Party"	0.0770797
"Center Party"	0.0768971
"Union of Right Forces"	0.0767099
NCEC	0.0766142
"Motherland Party"	0.0763497
Lakas	0.0760485
PRD	0.0757685
"Democratic Alliance"	0.0744827
UMNO	0.0742343
"King Birendra"	0.0741969
Shas	0.073915
"National Council of Churches"	0.0734612
"National Union for Total Independence"	0.0725488
"Christian Democratic Party"	0.0723539
HDZ	0.0721375
"opposition party"	0.0720358
CUF	0.0718361
PDI	0.0714782
IFP	0.0713964
NDP	0.0712555
LCD	0.0704987
Hezb-i-Islami	0.0704122
"Virtue Party"	0.0703786
Chavalit	0.0702193
"Hong Kong Federation"	0.0700826
"Islamic Welfare Party"	0.0700706
"Democratic Revolution Party"	0.0699827
MDC	0.0698776
SPS	0.0698003
NKP	0.0692603
"Free Democrats"	0.0691842
"State Law and Order Restoration Council"	0.068967
"Asian Football Confederation"	0.0686767
"Sam Rainsy"	0.0684881
"National Alliance"	0.0681803
Laban	0.0681268
"Revolutionary Party"	0.0679403
"Islamic Jihad"	0.0678468
"Democratic Unionist Party"	0.0673173
"Inter-Parliamentary Union"	0.0670643
"Sinn Fein"	0.0670296
"China Youth Development Foundation"	0.0666265
"Deve Gowda"	0.0665721
"National Awakening Party"	0.0664704
"Freedom Front"	0.0661558
Berisha	0.0659519
CPN-ML	0.0659067
SDLP	0.0658086
"New Komeito"	0.0651954
Sandinistas	0.0651926
"Radical Party"	0.0650832
DAP	0.0648402
NRM	0.0647801
))
(award (desc 115971) (sims
prize	0.249032
honor	0.167069
Oscar	0.157052
trophy	0.148346
"Academy Award"	0.139335
Emmy	0.137762
"Academy Awards"	0.126899
medal	0.12405
nomination	0.123572
"Pulitzer Prize"	0.123255
Emmys	0.112959
"Nobel prize"	0.112153
Grammys	0.111989
"Golden Globe"	0.109015
bonus	0.108181
"Tony Awards"	0.105845
Grammy	0.102888
grant	0.102082
reward	0.101877
"Grammy Awards"	0.0994387
verdict	0.0966971
title	0.0955088
payment	0.0932057
scholarship	0.0927212
gift	0.0923411
accolade	0.0913384
"Heisman Trophy"	0.0897865
winner	0.0886682
donation	0.0875594
championship	0.0858224
event	0.0843074
fellowship	0.0832949
salary	0.0832928
acclaim	0.0824735
fine	0.0819512
compensation	0.0810106
MVP	0.0806004
certificate	0.0800145
jackpot	0.078953
judgment	0.0784595
"prize money"	0.0775864
fee	0.0774873
citation	0.0769773
contribution	0.0768649
contract	0.076854
category	0.0766364
"most valuable player"	0.0764078
credit	0.0762194
lawsuit	0.0753622
program	0.0750777
recognition	0.0740813
"Hall of Fame"	0.0739809
selection	0.0736952
payout	0.0730262
statuette	0.0730239
fund	0.0729996
contest	0.0725936
performance	0.0723397
record	0.0721598
show	0.0715265
nod	0.0711999
purse	0.0709309
sum	0.0707552
money	0.0705127
funding	0.0701399
subsidy	0.069766
benefit	0.0693798
endorsement	0.0693681
festival	0.0690866
check	0.0687829
deal	0.0687346
nominee	0.0687272
appearance	0.0686907
tournament	0.0684561
Pulitzer	0.0682905
race	0.0681456
Heisman	0.068102
"tax break"	0.0679935
review	0.0677597
Tony	0.0677016
decision	0.0676855
ceremony	0.0674174
incentive	0.067369
paycheck	0.0672972
settlement	0.0671058
victory	0.06664
competition	0.0666153
budget	0.0666031
ticket	0.0663888
request	0.0663542
praise	0.0660895
exemption	0.0660063
penalty	0.0659623
card	0.0658785
appointment	0.0655801
game	0.0654841
rating	0.0653723
achievement	0.065071
success	0.0650494
loan	0.064953
damage	0.0649013
package	0.0648987
series	0.0648331
Exhibition	0.0647877
gold	0.0644719
claim	0.0644211
"tax credit"	0.0643914
opportunity	0.06417
list	0.0638379
pennant	0.0638048
attention	0.0637859
berth	0.0637104
concert	0.063366
tribute	0.063296
"Stanley Cup"	0.0632631
project	0.0632209
bid	0.0630698
stipend	0.0628502
job	0.0626053
film	0.062442
diploma	0.0621101
assistance	0.0620944
Promotion	0.0620008
amount	0.0619894
accomplishment	0.0618944
plan	0.0617174
total	0.0616055
license	0.061584
cost	0.0615689
crown	0.0615486
ruling	0.0614989
showcase	0.0613584
letter	0.0613378
election	0.0613146
induction	0.0613109
album	0.0612504
vote	0.0612125
sale	0.0611938
plaque	0.0608406
coverage	0.0604183
allowance	0.0602594
book	0.0600602
bill	0.0600085
gala	0.0599918
sentence	0.0599301
pension	0.0598712
"cash payment"	0.0598098
reputation	0.0597782
speech	0.0597524
AD	0.0596473
suspension	0.0596397
patent	0.0593063
Olympics	0.0591333
refund	0.0591204
payouts	0.0591016
action	0.059095
ranking	0.0590722
"legal fee"	0.0590678
spot	0.0590582
case	0.0587656
support	0.0586574
special	0.0586387
player	0.0585339
proposal	0.0583353
status	0.0582685
option	0.0582511
allocation	0.0581939
"Super Bowl"	0.0581864
rebate	0.0579763
standard	0.0577231
finalist	0.0576943
punishment	0.0576208
winning	0.0575048
collection	0.0574642
"pay raise"	0.0574309
endowment	0.0573828
role	0.0573164
"price tag"	0.0572953
slot	0.0572871
appeal	0.0572708
initiative	0.0571815
income	0.0571728
recommendation	0.0571663
tour	0.0569683
profit	0.0569393
team	0.0569172
purchase	0.056862
audience	0.0568615
payoff	0.056784
number	0.0567264
"World Series"	0.0567222
fame	0.0566562
figure	0.0566038
presentation	0.056493
worth	0.0564503
fair	0.0564411
picture	0.0562083
membership	0.0561893
career	0.0560003
suit	0.0559888
))
(Award-winning (desc 1688.21) (sims
Oscar-winning	0.114933
artsy	0.0918198
indie	0.069666
"Edie Falco"	0.062452
special-effects	0.0602801
"Lethal Weapon"	0.0599719
Coen	0.0565535
O'Connor's	0.0561859
"avant garde"	0.0527411
dada	0.0525113
MacDonald's	0.052317
Irish-American	0.0520364
IMAX	0.0508051
"beam of light"	0.0492124
Zapruder	0.0491748
"German language"	0.0488499
Provencal	0.0488252
encyclical	0.0485481
minimalist	0.0484087
Rothschild	0.0478112
"Andre Braugher"	0.0472901
"comic book"	0.0461695
"blue blood"	0.0445316
schlock	0.0444048
SDH	0.0440949
"Mod Squad"	0.0439611
"Kung Fu"	0.0435364
ta	0.0431946
Beaujolais	0.0430581
Clinton-Lewinsky	0.042906
commissioning	0.0427919
"Toy Story"	0.0419879
mem	0.041976
"instruction manual"	0.0419276
Porno	0.0417879
as-yet	0.0417337
thuggish	0.0411821
NewsHour	0.0411367
surrealist	0.0410836
Bobo	0.0407137
"five million"	0.0405126
"Don Juan"	0.0403116
sought-after	0.0403073
))
(awarding (desc 6593.13) (sims
granting	0.10333
revocation	0.0749077
"won one"	0.0574729
issuing	0.0570094
decommissioning	0.0539582
licensing	0.0495552
expiration	0.0487509
"dollar amount"	0.0485225
annulment	0.0469763
termination	0.0468964
reallocation	0.0464675
loosening	0.0459475
finalization	0.0458922
deferral	0.0454885
renegotiation	0.0449309
initiation	0.0447687
renewal	0.0442697
scrapping	0.0439844
"won two"	0.0436004
issuance	0.0434697
abolishment	0.0433799
cancellation	0.043166
forfeiture	0.0431019
taking	0.0430634
commissioning	0.0428864
renaming	0.0426319
hosting	0.042532
multi	0.0414427
placing	0.0408648
carrying	0.0405237
))
(awareness (desc 56954.7) (sims
understanding	0.150268
knowledge	0.14526
consciousness	0.137607
education	0.118768
perception	0.117796
prevention	0.114167
sense	0.110279
recognition	0.104246
confidence	0.103622
literacy	0.103571
sensitivity	0.103279
diversity	0.102423
efficiency	0.101297
acceptance	0.100236
anxiety	0.0982102
skill	0.0977098
enthusiasm	0.0976105
concern	0.0970985
competitiveness	0.0957175
vigilance	0.0945507
tolerance	0.0939485
protection	0.0938155
quality	0.0936716
urgency	0.0929527
"scientific knowledge"	0.092236
ethic	0.0915455
accountability	0.0914882
transparency	0.090634
appreciation	0.0904452
flexibility	0.0903849
ability	0.0902785
ignorance	0.0896462
productivity	0.0895579
Creativity	0.0895261
assessment	0.0895092
"standard of living"	0.0888528
fear	0.0883025
governance	0.0882065
attention	0.0875749
participation	0.087351
research	0.0873191
willingness	0.0872253
self-esteem	0.0867346
development	0.0867041
attitude	0.0864333
coordination	0.0854087
support	0.0853035
capability	0.0852679
expertise	0.0852152
interest	0.0841208
cooperation	0.0840466
discipline	0.0837526
enforcement	0.0834728
trust	0.0830833
determination	0.0830752
popularity	0.0827236
Promotion	0.0824518
seriousness	0.0823482
importance	0.0823459
information	0.0821384
incidence	0.0821128
desire	0.0820139
uncertainty	0.0819437
unity	0.0818689
"sense of responsibility"	0.0818358
consensus	0.0817482
publicity	0.0817195
professionalism	0.0816567
apathy	0.0815356
compassion	0.0813195
intelligence	0.0811002
training	0.080968
preservation	0.0809536
commitment	0.0808458
improvement	0.0806985
"mutual understanding"	0.0806301
prevalence	0.0805457
mobilization	0.0804891
loyalty	0.0801776
Openness	0.0800533
empowerment	0.079804
visibility	0.0797533
cohesion	0.0796753
management	0.07963
"quality of life"	0.0795408
expectation	0.0792992
conservation	0.0792569
respect	0.0791723
feeling	0.0791626
experience	0.0786754
standard	0.0785786
progress	0.0780345
readiness	0.0775395
strength	0.0774785
patience	0.0774476
health	0.0774373
concentration	0.0773848
supervision	0.0773122
teamwork	0.0772008
innovation	0.0772007
competence	0.0770606
prestige	0.0768299
morale	0.0768082
solidarity	0.0766157
integrity	0.0765806
preparedness	0.0765175
evaluation	0.0761986
resource	0.0757217
excitement	0.0756397
realization	0.0755603
infrastructure	0.0754756
study	0.0752742
integration	0.0751556
"family planning"	0.0749105
confusion	0.0747794
stability	0.074738
mobility	0.0747209
measure	0.0744973
availability	0.0744594
diversification	0.0744164
passion	0.0743731
detection	0.07418
lack	0.0741604
credibility	0.0741459
achievement	0.0741311
risk	0.0741273
intensity	0.0741118
advancement	0.0740161
alleviation	0.0737882
self-confidence	0.0737075
perspective	0.0734924
maturity	0.0734616
policy	0.0732355
vitality	0.0730164
reform	0.0728452
responsibility	0.0727788
equality	0.0727252
resolve	0.0726866
appetite	0.0726175
nervousness	0.0725476
access	0.0723287
goodwill	0.0721885
eradication	0.072139
wisdom	0.0720979
panic	0.0718605
advocacy	0.071638
clout	0.0715407
funding	0.0715321
emphasis	0.0712948
sympathy	0.0712839
impact	0.0707048
safety	0.0706313
discussion	0.0704695
problem	0.0704305
patriotism	0.0703987
interaction	0.0703796
self-discipline	0.0702348
concept	0.0702218
sentiment	0.0702005
"education program"	0.0701987
alertness	0.0701711
demand	0.0700588
mechanism	0.0699958
consistency	0.0698421
technology	0.069797
activity	0.0697424
morality	0.0696943
treatment	0.0696544
strategy	0.0696316
involvement	0.0695423
effectiveness	0.0691658
profitability	0.0691149
oversight	0.0688561
worry	0.0687179
suspicion	0.0687088
initiative	0.0685363
sophistication	0.0685119
habit	0.0683905
question	0.0683192
resentment	0.0681796
optimism	0.0681167
value	0.0680843
communication	0.068026
care	0.067833
outreach	0.0678079
growth	0.0677721
vision	0.0677213
control	0.0676991
effort	0.0676872
idea	0.0676778
view	0.067634
"good will"	0.0675704
activism	0.0675131
liquidity	0.0674838
dissemination	0.0674676
spending	0.0674556
"legal system"	0.0673504
disclosure	0.0672235
outrage	0.06718
regulation	0.0671752
))
("away game" (desc 2357.72) (sims
"road game"	0.122025
"day game"	0.0901338
no-decisions	0.0888328
"Cy Young Awards"	0.0882456
"Pulitzer Prizes"	0.0800122
"Gold Gloves"	0.0782407
"home game"	0.0772612
"test match"	0.0765917
"Croatia Zagreb"	0.0762195
"British Opens"	0.0745417
nightcap	0.0736255
"Ryder Cups"	0.0724518
seasons.	0.0677858
first-rounder	0.0674052
"first points"	0.0670614
"PGA Championships"	0.0670092
"Pro Bowls"	0.066852
"AFC Championship Game"	0.0655005
stinker	0.0648372
"Stanley Cups"	0.0648021
"U.S. Opens"	0.0646494
"night game"	0.0638235
"Final Fours"	0.0622465
tiebreak	0.0621276
"playoff game"	0.061341
"extra time"	0.0604432
"triple play"	0.0602391
"Gold Cup"	0.0601544
tiebreaker	0.0596543
"cup tie"	0.0593719
ballgames	0.0583355
"Italian Cup"	0.0575543
"All-Star Games"	0.0575069
"hockey game"	0.0574106
"waiting game"	0.0574068
"big game"	0.0571654
"swim meet"	0.0570968
NLCS	0.0560181
"numbers game"	0.0556871
"service break"	0.0555331
"Emmy Award"	0.0555218
blowout	0.0550954
Brondby	0.054896
warmup	0.0546515
"popularity contest"	0.0545954
"U.S. Amateur"	0.0542563
"Super Bowls"	0.0541969
ballgame	0.0540787
Pacific-@@	0.0540314
postseasons	0.0539393
"first point"	0.0538443
"Memorial Tournament"	0.0535898
Opens	0.0535007
"break of serve"	0.0533677
slugfest	0.0533236
"MLS Cup"	0.0532095
decider	0.0529134
"Federation Cup"	0.0525965
"major-league team"	0.0522752
shootaround	0.0521987
Edberg	0.0509779
regular-season	0.050946
faceoffs	0.0508729
game.	0.0500831
"round robin"	0.0494439
Rosenborg	0.0492392
quickest	0.0491903
"Confederations Cup"	0.0491828
half-point	0.0489546
games.	0.0489448
"Gator Bowl"	0.0487737
"ball game"	0.0486035
pennant	0.0485732
starts.	0.0481062
Damm	0.0479685
"Cy Young Award"	0.0479162
bullfight	0.0479091
"won @-@"	0.0478188
"Euro @@@@"	0.0475049
"South Regional"	0.047285
QBs	0.0471823
Likhovtseva	0.0470448
"Orange Bowl"	0.0470227
"AFC Central"	0.0469706
"NEC Invitational"	0.046667
"Big West"	0.0465654
"Southwest Conference"	0.046536
"World Cups"	0.0461965
match-up	0.0461742
non-factor	0.0459765
"Emmy Awards"	0.045481
no-decision	0.045414
"Big Sky Conference"	0.0453907
"Jackson State"	0.0453565
internationals	0.0452805
"Davis Cup World Group"	0.0452778
"round of golf"	0.0452206
Concordes	0.0451753
"League Cup"	0.0451681
Susanti	0.0451136
Dosedel	0.0450954
"extra points"	0.0449725
tie-break	0.0449356
arch-rivals	0.044876
crowd-pleaser	0.0447087
"civic duty"	0.0446416
wipeout	0.0445944
"clean slate"	0.0445862
"Group A."	0.0445665
"Purple Heart"	0.0442439
pfennig	0.0440436
friendlies	0.0440301
goal-scorer	0.0439497
"sugar bowl"	0.0437858
"United States Open"	0.0435488
"Miami Fusion"	0.0434615
singles	0.0434326
heartbreaker	0.0433818
Spadea	0.0433522
archrivals	0.0431421
rainout	0.0431202
"Copa America"	0.0430988
"second tour"	0.0430583
"Little League World Series"	0.043004
"exhibition season"	0.0429706
nonstarter	0.0429553
"softball game"	0.0428865
baserunners	0.0428558
"first pole"	0.0428285
"baseball game"	0.0427412
"basketball game"	0.0425029
time-trial	0.0423082
"La Paz"	0.0422859
Emmys	0.0422342
"Hopman Cup"	0.0422332
"NFC Central"	0.0419544
"New York City Marathon"	0.0418474
"first cup"	0.0417817
"Solheim Cup"	0.0417762
shoot-out	0.0417607
"Buick Classic"	0.0417332
"Grammy Awards"	0.0417163
"first weekend"	0.0415274
"off-speed pitch"	0.041421
Tonys	0.0413382
"extra inning"	0.0413013
Hongyuan	0.041287
"NBA Finals"	0.0412518
"inferiority complex"	0.0412406
All-stars	0.041186
three-pointers	0.0411633
"time slot"	0.041121
"measuring stick"	0.0409999
"unearned run"	0.0409934
clincher	0.0409608
"major league season"	0.0409474
"ice hockey"	0.0409208
no-hitter	0.0408818
top-@@	0.040781
"audio CD"	0.0407117
"ATP Championship"	0.0406732
"guessing game"	0.0406525
"SEC East"	0.0406306
Rugby	0.0405452
Alaves	0.04053
Picassos	0.040502
"field hockey"	0.0404636
Ilie	0.0404167
"American plane"	0.0403842
interleague	0.0403547
years.	0.0402924
"Big Sky"	0.0402883
"honorable mention"	0.0402841
Heisman	0.0402342
by-election	0.0402254
"first four"	0.0401799
Serie	0.0401432
"perfect game"	0.0401271
Gustafsson	0.0400943
))
(awe (desc 18515.4) (sims
amazement	0.159488
disbelief	0.15559
admiration	0.130573
bewilderment	0.114764
reverence	0.112926
astonishment	0.10965
puzzlement	0.108004
sadness	0.106853
excitement	0.102248
shock	0.102038
dread	0.0963043
envy	0.094615
pity	0.0944728
bemusement	0.0926732
anger	0.0923127
wonder	0.0919242
pride	0.0916576
revulsion	0.0904071
affection	0.0892712
joy	0.0891785
disgust	0.0883132
horror	0.0875713
exhilaration	0.0857205
disdain	0.084926
trepidation	0.0836914
amusement	0.0821991
nostalgia	0.0815734
exasperation	0.0813833
delight	0.0793274
elation	0.0787565
solemnity	0.078343
grief	0.0782715
gratitude	0.078149
dismay	0.0764018
humility	0.0740984
curiosity	0.0731116
panic	0.072421
apprehension	0.0721311
emotion	0.0717076
desperation	0.0715665
pleasure	0.0712885
resentment	0.0709834
tenderness	0.0706049
"good spirit"	0.0702796
sympathy	0.069527
despair	0.0688695
jubilation	0.0678254
outrage	0.0678192
glee	0.0676941
bitterness	0.0676331
fascination	0.0673259
frustration	0.0666161
shame	0.0664438
terror	0.0664058
condescension	0.0658622
enthusiasm	0.0657843
anxiety	0.065746
weariness	0.0653374
wonderment	0.0653288
optimism	0.0644501
compassion	0.0643478
incredulity	0.0635546
confusion	0.0634741
melancholy	0.0634599
fury	0.0632544
pain	0.062561
playfulness	0.0624478
contempt	0.0623674
satisfaction	0.0621122
sarcasm	0.0620787
Innocence	0.0620096
distrust	0.0618809
anguish	0.0617739
longing	0.0615745
appreciation	0.0611436
sorrow	0.0609548
"deja vu"	0.0606572
consternation	0.060629
empathy	0.0599185
agony	0.0596734
angst	0.0594888
"good shape"	0.0591139
silence	0.0581971
skepticism	0.0579085
passion	0.0578291
anticipation	0.0577626
ambivalence	0.056917
happiness	0.05681
remorse	0.0567942
thrill	0.0565037
suspense	0.0564712
disappointment	0.0564703
foreboding	0.0563433
urgency	0.0562487
wariness	0.0558139
rage	0.0558113
scorn	0.0555628
humor	0.055441
doubt	0.0553892
"high spirits"	0.0548906
regret	0.054503
suspicion	0.0544827
hopelessness	0.054319
nervousness	0.0539594
poignancy	0.0537589
esteem	0.0535668
candor	0.0534302
indignation	0.0533383
seriousness	0.0532748
laughter	0.053239
discomfort	0.0531073
embarrassment	0.053063
patriotism	0.0530094
contemplation	0.0525734
cynicism	0.0523345
loneliness	0.0521315
hatred	0.0521314
mourning	0.0521112
mockery	0.0519982
bravado	0.0519967
helplessness	0.051386
clarity	0.0513602
boredom	0.0510277
equanimity	0.0510251
warmth	0.0508119
jealousy	0.0508062
arrogance	0.0506435
irony	0.0505928
pandemonium	0.0505182
adoration	0.0500417
mood	0.0500264
devotion	0.0498553
euphoria	0.0498225
pathos	0.0497399
irritation	0.0496761
derision	0.0496361
loathing	0.0494222
fun	0.0494221
naivete	0.0493189
unease	0.0492229
disillusionment	0.0491365
self-worth	0.0488826
loyalty	0.0485959
defensiveness	0.0484724
dignity	0.0483956
comfort	0.0483862
self-consciousness	0.0481173
fondness	0.0480938
spontaneity	0.0480691
self-respect	0.0480569
mystery	0.0480099
guilt	0.0477597
yearning	0.0477315
paranoia	0.0476677
glory	0.0475562
Heard	0.0473216
permanence	0.0472385
self-awareness	0.0470631
uncertainty	0.047028
adulation	0.0470108
"frame of mind"	0.0468773
ignorance	0.0468682
determination	0.0465333
Exhaustion	0.0464184
beauty	0.0463815
self-importance	0.04627
humiliation	0.046206
self-doubt	0.0460064
purity	0.0459203
fantasy	0.0457665
hysteria	0.0454453
distaste	0.0453412
impatience	0.0452266
indifference	0.0451879
rapture	0.0451391
spite	0.0450643
invincibility	0.0448474
venom	0.0448163
fervor	0.0448089
intensity	0.0447678
recognition	0.0442834
deference	0.0442568
camaraderie	0.0442427
sophistication	0.0441813
disapproval	0.0441017
sentimentality	0.043822
zeal	0.0436377
stillness	0.0435925
intimacy	0.0435596
courage	0.0434987
earnestness	0.0434742
reflection	0.0434506
understanding	0.0430769
sincerity	0.0429228
epiphany	0.0429192
mistrust	0.042886
pessimism	0.0427994
denial	0.04274
charm	0.0427231
insecurity	0.0427043
))
("Awesome Again" (desc 2573.24) (sims
"Touch Gold"	0.225911
"Free House"	0.222012
"Puerto Madero"	0.178014
"Silver Charm"	0.16496
"Skip Away"	0.153974
"Victory Gallop"	0.151929
gentlemen	0.14948
Daylami	0.131107
"Cat Thief"	0.126509
Malek	0.126153
"Real Quiet"	0.121767
"Banshee Breeze"	0.120499
Behrens	0.114711
"River Keen"	0.1134
"Red Bullet"	0.109873
"Cash Run"	0.108849
"Lemon Drop Kid"	0.105938
"Running Stag"	0.102302
"Beautiful Pleasure"	0.0973376
charismatic	0.0963474
"Excellent Meeting"	0.0917337
Valhol	0.0893886
"Cup Classic"	0.0889361
"Desert Hero"	0.0887374
"Answer Lively"	0.088107
"High Yield"	0.087742
swain	0.0874787
Longo	0.0872688
Artax	0.0862113
"Seattle Slew"	0.0835564
"Regina Jacobs"	0.0823386
Chilukki	0.0811353
Menifee	0.0808569
"A.P Indy"	0.0793833
"Favorite Trick"	0.0790682
Silverbulletday	0.078619
commendable	0.0782895
"Winning Colors"	0.078091
grindstone	0.076054
Adonis	0.0756696
"Miguel Indurain"	0.0753043
Anees	0.0738028
"Fusaichi Pegasus"	0.0719201
"Forest Camp"	0.0714104
Affirmed	0.0702431
"Worldly Manner"	0.0697065
"Earnhardt Jr."	0.0693834
Biffle	0.0688333
Trippi	0.0681926
"Corey Nakatani"	0.0667327
"Prime Timber"	0.066558
Budroyale	0.0660914
"Annika Sorenstam"	0.0648869
"Thunder Gulch"	0.0639675
Heyns	0.06172
Tanui	0.0606477
vicar	0.0602917
Sainz	0.0595459
Luyendyk	0.0595166
Nicol	0.0588636
"Old Trieste"	0.0583509
Yandarbiyev	0.0579122
"Edie Falco"	0.0577655
"Paul Tergat"	0.0572056
Seizinger	0.0571906
O'Sullivan	0.0571044
"Jackson State"	0.0567078
"Richard Hatch"	0.0565233
"Svetlana Masterkova"	0.0556502
"Washington Senators"	0.0545914
"Juli Inkster"	0.0544906
thoroughbred	0.0543573
"War Chant"	0.0539062
Evert	0.0538928
"Eddie Cheever"	0.0537979
"Jerry Bailey"	0.0536812
"Arnaud Di Pasquale"	0.0534947
"Moses Tanui"	0.0534311
"Ecton Park"	0.0532918
Surfside	0.0528908
Atler	0.0527323
"two pitchers"	0.0526365
Doohan	0.0523891
"Michael Andretti"	0.0520101
"Richard Mandella"	0.0515659
"Scotty Bowman"	0.0514871
Bruguera	0.0512852
"Jubilo Iwata"	0.0511211
aptitude	0.0509818
"Arie Luyendyk"	0.0504332
Franchitti	0.0501258
"Chris Boardman"	0.0499486
"Billy Boat"	0.0497933
"Maria Butyrskaya"	0.049786
Capel	0.0493386
Szabo	0.0493203
"Tampa Bay Lightning"	0.0491786
Berasategui	0.049127
Musgrove	0.0486308
Eliza	0.0486237
Lobos	0.0485062
McCarron	0.048444
Loroupe	0.0483888
"Boston Bruins"	0.0483493
"Li Xuemei"	0.0482111
"Bjarne Riis"	0.0481804
Ferdinand	0.0481413
filly	0.0477265
"Bobby Rahal"	0.04762
Sautin	0.0476065
Hal	0.0475507
Cipollini	0.0473394
"Derrick Adkins"	0.0472861
"Koji Ito"	0.0472543
"break of serve"	0.0470903
Chebet	0.0468861
"Oliver McCall"	0.0467107
"Alan Cumming"	0.046361
"St. Louis Blues"	0.0460059
"Christine Arron"	0.045664
"Alexandra Meissnitzer"	0.0456276
"American Chanda Rubin"	0.0454035
"Wang Junxia"	0.0453389
"race horse"	0.0452818
Wondertross	0.0452493
"Scott Goodyear"	0.0452298
"Jennifer Capriati"	0.0452212
Samuelson	0.0451574
"Elvis Stojko"	0.0449983
"Tom Kite"	0.044576
Halard-Decugis	0.0444384
Sol	0.0443358
"Chrysler Building"	0.0442254
"National Enquirer"	0.0441876
"No. @,@@@"	0.0441373
"Gil Morgan"	0.044105
Mantilla	0.0440055
"Jansher Khan"	0.0439607
"Chris Antley"	0.043793
"Chronicle Publishing"	0.0436019
Shenhua	0.0435502
"Terry Labonte"	0.0434742
"Candra Wijaya"	0.0434726
"Kimberlite Pipe"	0.043459
"Stars &AMP; Stripes"	0.0433716
"straight man"	0.043261
Jayasinghe	0.0431461
Morceli	0.0430488
Roba	0.0430022
Testud	0.0429617
"Noureddine Morceli"	0.0429045
"Tom Steels"	0.0427094
"quarter horse"	0.0425126
"David Coulthard"	0.0424962
Jansher	0.0424834
"Gary Stevens"	0.042456
"Stephen Got Even"	0.0424529
Pantani	0.0423797
Batten	0.0423204
"Olin Browne"	0.0422603
"Bo Jackson"	0.0421489
"Jorgen Persson"	0.042063
"Mark Martin"	0.0419841
Tomba	0.0418065
Raoux	0.0417648
Aamodt	0.0417509
Hickman	0.0416828
"Jim Florio"	0.0416819
"Buddy Lazier"	0.0416709
Klim	0.0416623
"Dale Earnhardt Jr."	0.0416064
"Greg Ray"	0.0415121
Hearns	0.0415064
"Ernie Irvan"	0.0414927
"Hale Irwin"	0.0414145
"baseball club"	0.0413938
"Roberto Benigni"	0.0413607
"Bob Baffert"	0.0412986
Olano	0.0412557
"Rocco Mediate"	0.0412259
"Wang Nan"	0.0411798
"Lasse Kjus"	0.0411042
Meissnitzer	0.0410243
Taufik	0.0409426
Hawkeyes	0.040848
"Pat Hentgen"	0.0408212
"Baltimore Colts"	0.0407752
"Alex Zanardi"	0.0407204
"Guo Jingjing"	0.0407057
"Ottawa Senators"	0.0405695
"Montana State"	0.0404486
"Maurice Greene"	0.0404371
"Alex Zuelle"	0.0404362
Butyrskaya	0.0404162
"Erik Zabel"	0.0403545
Grosjean	0.0403095
"A.J Foyt"	0.0402996
"Michael Doohan"	0.040282
Pegasus	0.0401852
racehorse	0.0400725
))
(awkwardness (desc 4063) (sims
loneliness	0.0911173
alienation	0.0726367
goofiness	0.0719498
sadness	0.0708857
frailty	0.0708845
contrition	0.0696604
shyness	0.0664
eccentricity	0.0658763
anguish	0.0657449
uneasiness	0.0652885
restlessness	0.0650594
vulnerability	0.0646883
spontaneity	0.0646715
edginess	0.0640647
nervousness	0.063716
meanness	0.0636719
emptiness	0.0629956
anxiety	0.0603594
misunderstanding	0.0602777
irony	0.0600811
despondency	0.0597688
boredom	0.0595248
irrationality	0.0593099
desperation	0.0592677
infirmity	0.0591995
confusion	0.0591717
hesitancy	0.0591356
ambivalence	0.0590159
bewilderment	0.0589262
weariness	0.0588515
subjectivity	0.0586969
cataclysm	0.0583576
inequity	0.0582361
self-consciousness	0.0577953
cubby	0.0577838
stylishness	0.0577357
self-doubt	0.0575783
helplessness	0.0574328
stigma	0.05737
discomfort	0.0573442
unease	0.0572606
ambiguity	0.0570226
absurdity	0.0569287
tiredness	0.0569195
exhilaration	0.0568314
ignominy	0.056575
naivete	0.0563932
arrogance	0.0556573
angst	0.0555794
hang-up	0.0555343
softness	0.0555219
wistfulness	0.0553281
defensiveness	0.0547564
tedium	0.0546725
languor	0.0545988
believability	0.0544575
Innocence	0.0543023
fragility	0.0542352
fluidity	0.0541839
dissonance	0.0541201
"wear and tear"	0.0539818
rigidity	0.0539512
"inferiority complex"	0.0539474
insecurity	0.0539368
trauma	0.0538377
gaffe	0.0538222
ennui	0.0537741
bitterness	0.0537547
subtlety	0.0537136
self-loathing	0.0536487
theatricality	0.0536086
prejudice	0.0533781
tenderness	0.0532686
impossibility	0.0532192
disorientation	0.0531818
crispness	0.0530879
despair	0.0530639
hijinks	0.0529578
vagueness	0.0527933
hardship	0.0527631
humiliation	0.0526733
playfulness	0.052556
dread	0.0524892
intimacy	0.0522609
indignity	0.0522581
hopelessness	0.0520561
hesitation	0.051904
distrust	0.0518405
cockiness	0.0516715
ignorance	0.0514625
humility	0.0510544
magnificence	0.0509791
brashness	0.0507899
irritation	0.0507545
letdown	0.0507194
sorrow	0.0506768
agony	0.0506423
grief	0.0504176
gravity	0.050273
self-awareness	0.0499689
sloppiness	0.0497491
stiffness	0.0496663
homesickness	0.0496441
imperfection	0.0496325
disillusionment	0.049499
unfairness	0.0492473
modesty	0.049233
wildness	0.0491852
indecision	0.0490938
silliness	0.0489578
levity	0.0489359
dislocation	0.0488955
distortion	0.0486554
bleakness	0.048607
"cash crunch"	0.0485624
misstep	0.0484313
artificiality	0.0482449
bravado	0.0482126
jealousy	0.0481706
misperception	0.0479905
instability	0.0479252
hubris	0.0477596
ineptitude	0.0476411
adversity	0.0474911
misgiving	0.0474774
miscalculation	0.047462
simplicity	0.0474196
horseplay	0.0473835
misery	0.047289
foolishness	0.0472717
rapture	0.0470461
pang	0.0468749
euphoria	0.0468229
apprehension	0.0467091
contradiction	0.0465931
banality	0.0465807
"mental anguish"	0.046536
serendipity	0.0464698
aura	0.0463525
individuality	0.0463163
trepidation	0.0460468
opprobrium	0.0459787
inactivity	0.0459072
neuroses	0.0458249
volatility	0.0458155
timidity	0.0457701
curiosity	0.0457059
allure	0.0456719
resonance	0.04563
"bright side"	0.0454722
snobbery	0.0453667
complacency	0.0453501
longing	0.0452355
hypocrisy	0.0451473
upheaval	0.0451364
sentimentality	0.0449956
reticence	0.0447101
unpredictability	0.0447051
informality	0.0445038
friction	0.0444574
profundity	0.0443249
elation	0.0442971
oddity	0.0442333
savagery	0.0442236
inhibition	0.0441991
pitfall	0.0441128
gibe	0.0440214
devastation	0.0439521
familiarity	0.043792
nuance	0.0437325
nonchalance	0.0436658
"tax advantage"	0.0436649
inadequacy	0.0436168
powerlessness	0.0435413
irresponsibility	0.0434911
realism	0.0434628
malaise	0.0433953
qualm	0.0432322
paranoia	0.0431757
nuttiness	0.0431642
disfigurement	0.043111
disconnection	0.0430641
clarity	0.0430489
moralizing	0.0428992
inaccuracy	0.04285
heaviness	0.0426919
axiom	0.0426205
"liquidity problem"	0.0426003
stillness	0.0425993
infamy	0.0425589
shortcoming	0.0425547
melancholy	0.0425226
disquiet	0.0425127
warmth	0.0424478
deceleration	0.0424415
sluggishness	0.0424323
enormity	0.0424212
peril	0.0423968
misconception	0.0423185
slippage	0.0422939
))
(awning (desc 6528.65) (sims
Canopy	0.112662
shutter	0.107205
umbrella	0.0923813
arch	0.0902445
siding	0.0888207
roof	0.084958
curtain	0.0830127
tarpaulin	0.079239
tent	0.078929
tarp	0.0786062
"tile roof"	0.0777266
armoire	0.0718301
linoleum	0.0702892
facade	0.070268
Dome	0.0691001
molding	0.0665869
fastener	0.0656477
"soda can"	0.0649612
upholstery	0.0648466
smelters	0.0622497
louver	0.062105
"shower curtain"	0.0616078
shingle	0.0614365
truss	0.061086
"love seat"	0.0603108
pane	0.0602591
banner	0.0596736
girder	0.0593503
skylight	0.0591304
roofing	0.0590462
storefront	0.0589232
archway	0.0587935
"folding chair"	0.0587858
tile	0.0586751
jamb	0.0586416
lampshade	0.0584043
lamp	0.0581386
sheeting	0.0580759
exterior	0.0576383
gutter	0.0574523
scrim	0.0573687
spool	0.0569864
comforter	0.0562016
eaves	0.0561609
sofa	0.055952
carpeting	0.0559037
grille	0.0558693
furniture	0.0557329
tablecloth	0.0554015
armchair	0.0552941
bead	0.0548728
crosse	0.0542507
chandelier	0.0541112
parasol	0.0539594
lantern	0.0535386
wallpaper	0.0531798
"tape measure"	0.0531045
flooring	0.0528939
"water fountain"	0.0527694
billboard	0.0526327
slab	0.0524969
cot	0.0523937
footbridge	0.0518572
atrium	0.0517692
staircase	0.0517035
Stairway	0.0516524
balcony	0.0515197
"tree branch"	0.0511984
scarf	0.0510352
tubing	0.0509608
Sash	0.0508469
"picket fence"	0.0506762
Casket	0.0505902
bleachers	0.0503793
rug	0.0502195
furnishings	0.0501504
drapery	0.0498729
"lounge chair"	0.0498527
signboard	0.0496548
jumpsuit	0.0493479
spinnaker	0.0493026
paneling	0.0492223
muffler	0.0491871
"window frame"	0.0491557
fender	0.0488326
hardtop	0.0485041
garage	0.048479
"fire wall"	0.0482573
bracelet	0.0481527
shawl	0.0479725
mast	0.0479717
brick	0.0477868
shack	0.0477862
"Union Jack"	0.0476864
jacket	0.04762
robe	0.0475774
piping	0.0475088
lean-to	0.0474684
cladding	0.0474632
stool	0.0474289
"trash can"	0.0473214
portico	0.0471105
suspender	0.0470253
enclosure	0.046703
stanchion	0.0466816
chimney	0.0466607
"alarm system"	0.046312
reflector	0.0462248
overhang	0.0462221
chaise	0.0462064
ribbon	0.0461917
insulation	0.0461571
birdhouse	0.0459499
laminate	0.0458773
trouser	0.0456908
ladder	0.0455294
casing	0.0455212
flange	0.0454883
livery	0.0454268
mosaic	0.0453879
flagpole	0.0453389
scaffolding	0.0452947
swatch	0.0451927
apron	0.0451439
pompom	0.0449638
plumbing	0.0449581
placard	0.0448735
pail	0.0448577
legging	0.0448569
carpet	0.0447707
covering	0.0447584
pantsuit	0.0446941
seating	0.0446482
bunting	0.0444447
wrapper	0.0442663
deck	0.0439454
"air duct"	0.043896
stucco	0.0438028
"lawn chair"	0.0436946
partition	0.0436382
"garbage can"	0.0434986
raincoat	0.0433403
cask	0.0433249
cupola	0.0432705
ACL	0.0432165
mural	0.0431922
mantelpiece	0.0431606
two-by-four	0.043151
scaffold	0.0431254
settee	0.0431219
wainscoting	0.0430846
patio	0.0430746
railing	0.0430529
walkway	0.0430487
hanger	0.0430379
gazebo	0.0429901
handbag	0.0429633
arbor	0.0429561
Dumpsters	0.0429294
barricade	0.0428886
antenna	0.0428656
"screen door"	0.0428373
"sheet metal"	0.0428167
"coffee table"	0.0428112
"beach towel"	0.0427688
hue	0.0426769
sweater	0.0426463
bulkhead	0.0425772
grating	0.0424973
"card table"	0.0424603
sarong	0.0423286
"evening gown"	0.0422554
sunroof	0.0422199
slipper	0.0421755
"French door"	0.0421176
smelter	0.0420844
sarcophagus	0.0420328
lid	0.0419117
cookware	0.0418362
"front door"	0.0417182
"bell tower"	0.0416824
"warning light"	0.0416377
"family room"	0.041398
marker	0.0412813
doorway	0.0412434
ingot	0.0412121
"grocery bag"	0.0412096
"packing material"	0.0411913
"piece of cloth"	0.0411443
sheathing	0.0410954
"achilles tendon"	0.0410354
"fountain pen"	0.041019
countertops	0.0409929
pavilion	0.0409326
knob	0.0409248
"front porch"	0.0408991
mattress	0.0408759
toenail	0.0408463
bunk	0.040823
porch	0.0408067
))
(AWOL (desc 1016.18) (sims
pro-choice	0.124766
non-factor	0.116677
"second person"	0.0886426
debater	0.0848034
pro-life	0.0831734
"Southern Baptist"	0.083145
sworn-in	0.0768629
"sounding board"	0.0719614
"treading water"	0.0681738
oilman	0.0678939
well-respected	0.0673987
doer	0.0672369
"important person"	0.0664177
paraplegic	0.0662774
"Phi Beta Kappa"	0.0647513
"big leaguer"	0.0642281
Philanderer	0.063312
"best man"	0.0625148
Trailblazer	0.0611725
pro-business	0.0601699
slouch	0.0596039
hyper	0.0592052
"chairman emeritus"	0.0587577
frontrunner	0.0586723
double-teamed	0.0582629
speechwriter	0.0577722
"lame duck"	0.0576894
"Sunni Muslims"	0.0571769
"running away"	0.0564937
drug-free	0.0563204
hypocrite	0.0560992
"first pitcher"	0.0559249
"arm's length"	0.0546727
"first cousin"	0.0542157
Chinese-American	0.0528886
headliner	0.0525933
batboy	0.0522683
deserter	0.0521492
lashing	0.0518165
vote-getter	0.0513115
"traveling salesman"	0.051186
learner	0.0510319
ringmaster	0.0510254
shoo-in	0.0506787
player-coach	0.0502135
"drawing card"	0.0499654
Intimidator	0.0497102
autocrat	0.0496712
feeler	0.049097
bloomer	0.0488163
HIV-positive	0.0486535
pacifist	0.0486416
outspent	0.0485274
"stepping down"	0.0480202
"center of attention"	0.0478869
minus-@	0.047741
troubleshooter	0.047601
"New Democrat"	0.0473339
punchline	0.0473113
bookkeeper	0.0472031
castoffs	0.0465714
"house guest"	0.0464188
monies	0.0462931
"leave of absence"	0.0461164
privy	0.0459868
newspaperman	0.0459775
neck-and-neck	0.0458378
"Black Panther"	0.0457568
churchgoer	0.0456179
fireman	0.0456009
wont	0.0452166
coming-out	0.0452019
"Orthodox Jew"	0.0451074
"Rhodes Scholar"	0.0450867
bricklayer	0.0450569
perjurer	0.0450511
vacationing	0.0450079
"solicitor general"	0.0448069
"hard worker"	0.0447678
womanizer	0.0447589
baserunner	0.04466
recluse	0.04462
draftsman	0.0445177
"wasting away"	0.0444876
agnostic	0.0442934
subbing	0.0440589
"prime mover"	0.0439065
infantryman	0.0437443
"right-hand man"	0.0437069
"Atlanta History Center"	0.0436441
"certified public accountant"	0.043526
whiner	0.043344
"public speaker"	0.0431926
outta	0.0430736
concertmaster	0.0427913
wacko	0.0426487
switch-hitter	0.0425444
puncher	0.0424476
well-positioned	0.0423124
miler	0.0418933
"fall guy"	0.0417697
well-prepared	0.0416559
schemer	0.04147
Episcopalian	0.041271
figurehead	0.0412631
goal-scorer	0.0412272
typecast	0.0411951
"Pro Bowler"	0.0411818
"Deep Throat"	0.0409861
cantor	0.0408585
"punching bag"	0.0402103
plus-@	0.0401317
sadist	0.0400794
clingy	0.0400413
co-editor	0.0400152
))
(ax (desc 13019.8) (sims
machete	0.243993
axe	0.214195
pickax	0.198807
knife	0.156587
"baseball bat"	0.153627
sickle	0.146321
sword	0.140255
shovel	0.13997
Hammer	0.137647
spear	0.132387
hatchet	0.131204
Sledgehammer	0.13036
Hoe	0.115841
screwdriver	0.106151
chainsaw	0.103191
shotgun	0.100627
bayonet	0.100096
"chain saw"	0.0997297
pistol	0.0991235
cudgel	0.0983721
crowbar	0.0966963
dagger	0.0961639
chisel	0.0877613
rifle	0.0869022
gun	0.0854006
rake	0.082415
"hand grenade"	0.0822973
broom	0.0817071
pitchfork	0.081184
scissors	0.0805819
truncheon	0.0751983
spade	0.0751086
baton	0.0742712
Grenade	0.0734661
Cleaver	0.0728647
revolver	0.0728482
"automatic rifle"	0.0722745
arrow	0.0700448
"rifle butt"	0.0694044
"golf club"	0.0684145
"gasoline bomb"	0.0670251
arrowhead	0.0669278
"paring knife"	0.0669181
fork	0.0662311
mallet	0.0655325
bulldozer	0.065405
"machine gun"	0.0652686
"sawed-off shotgun"	0.0652072
slingshot	0.0645434
firearm	0.0635162
winch	0.0634594
handgun	0.0630412
Ho	0.06272
"lawn mower"	0.0627135
trowel	0.0626374
scraper	0.062294
jackhammer	0.0616084
flashlight	0.0608712
AK-@@	0.0603418
"hockey stick"	0.059364
blade	0.0586978
nightstick	0.0583256
saw	0.0583132
musket	0.0581209
shear	0.0580551
saber	0.0579554
fist	0.0573356
walkie-talkie	0.0565901
"hunting knife"	0.0546911
bottle	0.054608
"water bottle"	0.0538498
"explosive device"	0.0532764
"tennis racket"	0.0531095
torch	0.0529602
"putty knife"	0.0525712
paintbrush	0.0522567
firebomb	0.0521908
cane	0.0521481
helmet	0.0518081
gavel	0.0517627
razor	0.0511935
"frying pan"	0.050583
harpoon	0.0505378
racquet	0.0505155
machine-guns	0.0502285
pliers	0.0500658
scalpel	0.0498956
stethoscope	0.0498683
"bowling ball"	0.0489885
pipe	0.0487852
clipboard	0.0484067
backhoe	0.0483717
grater	0.0481387
hose	0.0480666
wrench	0.0479703
Spoon	0.0476059
cutter	0.0475622
"Molotov cocktail"	0.0473967
bullet	0.0473649
bucket	0.0472129
Lance	0.046436
"razor blade"	0.0461746
"oxygen mask"	0.0459518
brick	0.0456729
"beer bottle"	0.0454832
"cigarette butt"	0.0454795
spatula	0.045394
broomstick	0.0451492
two-by-four	0.0444085
mortar	0.0440802
Pottery	0.0440235
"walking stick"	0.043832
kettle	0.0438095
needle	0.0437573
"pipe bomb"	0.043724
pen	0.0436422
"submachine gun"	0.0435033
explosive	0.0433676
wheelbarrow	0.0433366
ammunition	0.0432768
mace	0.0429612
sheeting	0.0427522
rod	0.0426344
cannon	0.0423729
stopwatch	0.0422494
suitcase	0.0420983
"beer can"	0.0419807
pencil	0.0418003
"cutting board"	0.0416205
putter	0.0416108
microphone	0.0415596
binocular	0.0413638
"two hands"	0.0413479
rope	0.0409164
armor	0.0409143
glove	0.0409063
syringe	0.0408583
"petrol bomb"	0.0407017
"power tool"	0.0404243
))
(AXA (desc 2589.24) (sims
Aegon	0.229093
Allianz	0.222345
"American International Group"	0.2048
"Aetna Inc."	0.182734
Generali	0.176633
Vivendi	0.172407
"ELF AQUITAINE"	0.150605
Rhone-Poulenc	0.131161
"Renault SA"	0.130549
"Vivendi SA"	0.13051
Aerospatiale	0.127142
"Societe Generale"	0.123692
Alcatel	0.122328
BASF	0.120857
TYCO	0.120714
ING	0.120196
"Thomson CSF"	0.118927
YPF	0.117409
Aetna	0.116075
Elf-Aquitaine	0.115516
SFX	0.115128
Bertelsmann	0.112845
AIG	0.112149
"News Corp."	0.109455
Eni	0.109357
"Travelers Group"	0.106699
Totalfina	0.105584
NTL	0.105573
AMP	0.104523
KPN	0.101683
Astra	0.0983416
Carrefour	0.0979067
Conseco	0.0969974
VENATOR	0.096456
VICKERS	0.0945551
"Christine Arron"	0.0941161
WPP	0.0932671
Viacom	0.0930943
Unilever	0.0929606
Lagardere	0.0924735
"Deutsche Telekom"	0.092335
Renault	0.0917746
"Knight Ridder"	0.0913196
Allstate	0.0908922
"Hyundai Group"	0.0903238
AMR	0.0895977
Starwood	0.0894743
Telefonica	0.0890901
Alltel	0.088786
LVMH	0.0879501
UBS	0.0874984
"BP Amoco"	0.0874253
WorldCom	0.0870981
"Cable &AMP; Wireless"	0.0868613
ENTERGY	0.0860848
MCI	0.0855513
Mannesmann	0.0842118
"Hearst Corp."	0.083931
Hoechst	0.0837525
Daewoo	0.0835904
Bayer	0.0833455
Softbank	0.08323
"De Beers"	0.0826191
"Deutsche Bank"	0.0824565
Litton	0.0816772
SAirGroup	0.0812651
McKesson	0.0811533
SNCF	0.0808794
Novartis	0.0807532
GANNETT	0.0803791
GPU	0.080282
"Total Fina"	0.079771
"Cox Communications"	0.0796214
Pepsico	0.0795572
Cablevision	0.0794294
IAI	0.079424
AlliedSignal	0.079246
Scientific-Atlanta	0.0789499
"Koch Industries"	0.0788552
Seagram	0.0785901
Pearson	0.0784725
Arianespace	0.0781012
"Bertelsmann AG"	0.0777664
Zeneca	0.0777267
"Vodafone AirTouch"	0.0775096
Chris-Craft	0.0773364
Vodafone	0.0772409
"Berkshire Hathaway"	0.0765928
"Hutchison Whampoa"	0.0764283
"Aerospatiale Matra"	0.0760496
Enron	0.0759704
Roche	0.0758574
IDT	0.0753061
Paribas	0.0751834
GTE	0.074951
"Seagram Co."	0.0747798
UAL	0.0746185
Daimler	0.0743125
Echostar	0.0743096
RJR	0.0742686
Monsanto	0.0742554
Dresdner	0.0741403
Hyundai	0.0740908
Pfizer	0.0740807
"Didier Auriol"	0.0739099
SBC	0.0737723
"Softbank Corp."	0.0736661
Telstra	0.0735743
Georgia-Pacific	0.0732394
Nestle	0.073218
Samsung	0.0726708
"Chronicle Publishing"	0.0724372
"Royal Dutch/Shell"	0.0723664
Televisa	0.0723553
Sumitomo	0.0722415
"Marie-Jose Perec"	0.0720233
"Gannett Co."	0.072012
NatWest	0.0718456
"John Hancock"	0.0717352
Hasbro	0.0715237
EMC	0.0715032
"Bausch &AMP; Lomb"	0.0713535
Glaxo	0.0713501
"Abbott Laboratories"	0.0712581
"Credit Suisse"	0.0712557
Thyssen	0.0709254
Volkswagen	0.0708902
"Thermo Electron"	0.0707303
Cadbury	0.0705475
Geico	0.0702417
"Tribune Co."	0.0700669
HSBC	0.069958
"Media Partners"	0.069915
"Ford Motor"	0.0696621
"Global Crossing"	0.0695843
Cendant	0.0692207
Telmex	0.0691188
"Bankers Trust"	0.0689958
Chiron	0.06892
NORTHROP	0.0685537
Norwest	0.0685082
Aventis	0.0684883
ADM	0.0684623
ZIFF-DAVIS	0.0683075
"Daewoo Group"	0.068296
Philips	0.0682878
Ahold	0.0679177
AstraZeneca	0.0678166
"Arnaud Di Pasquale"	0.0676447
Media-MOST	0.0676364
CNET	0.0675382
BMG	0.0675294
"Global Crossing Ltd."	0.0674871
"Canal Plus"	0.067251
VEBA	0.0669557
"US West"	0.0669349
CMGI	0.066562
Diageo	0.0663054
Halliburton	0.0660491
"R.J Reynolds"	0.0660391
TCI	0.065959
"Computer Associates"	0.0658924
BP	0.065849
ABB	0.0658132
REVLON	0.0658086
"National Grid"	0.0656689
"MCI WorldCom"	0.0655147
BSKyB	0.0654668
AutoNation	0.065388
Citigroup	0.0653805
Dasa	0.0653086
Dupont	0.0651899
Deutsche	0.0649769
Siemens	0.0644242
"Credit Lyonnais"	0.0640489
PolyGram	0.0639222
"Y&AMP;R"	0.0638576
Gazprom	0.0637651
Krupp	0.0637072
Danka	0.0635581
"News Corp"	0.0633237
"HSBC Holdings"	0.0632823
Bestfoods	0.0630699
"Blue Cross"	0.0627281
"France Telecom"	0.0627174
Livent	0.0622205
Cisco	0.0621919
Sidanko	0.0621263
TELLABS	0.061699
Volvo	0.0616728
"Reed Elsevier"	0.0616419
BellSouth	0.0614826
"Du Pont"	0.0614778
"Air Canada"	0.0613177
Comcast	0.0611411
"Mannesmann AG"	0.0611129
Tenneco	0.0610754
McCaw	0.0610663
VoiceStream	0.0610345
"Viacom Inc."	0.0609224
))
(axe (desc 2990.64) (sims
ax	0.214195
machete	0.13251
pickax	0.114042
sickle	0.0962351
arrowhead	0.0877102
knife	0.0875881
saber	0.0840853
spade	0.0802555
sword	0.0794875
bayonet	0.0793447
hatchet	0.0780666
"baseball bat"	0.0776364
screwdriver	0.0776168
truncheon	0.0666733
shotgun	0.0658514
shovel	0.064763
Sledgehammer	0.0645577
scissors	0.0632424
pistol	0.0623864
Hoe	0.0616729
Cleaver	0.0612816
broom	0.0597541
"dog bite"	0.0595255
"frying pan"	0.0560457
dagger	0.0559451
gavel	0.0533194
"tennis racket"	0.0528603
"automatic rifle"	0.0522267
crowbar	0.0516194
opprobrium	0.0497672
"hockey stick"	0.0496625
mallet	0.0489355
"cutting board"	0.048145
chainsaw	0.0480833
winch	0.0470529
flamethrower	0.0466559
stethoscope	0.0465965
"beach towel"	0.0464575
beaker	0.0460769
stele	0.045906
"hand grenade"	0.045471
hyphen	0.0454689
two-by-four	0.0451603
saucer	0.0439927
vas	0.0437141
"evening bag"	0.0433001
scalpel	0.0430404
racquet	0.0423707
gallows	0.0418777
Igloo	0.0416379
stoneware	0.0411704
make-over	0.0407155
"submachine gun"	0.0407028
sorority	0.0405335
cudgel	0.0404369
bandanna	0.0404118
paintbrush	0.040398
))
(axel (desc 2831.14) (sims
lutz	0.239347
salchow	0.234764
Quad	0.16941
loop	0.108518
amputee	0.0873699
"set point"	0.0860454
decker	0.0789842
"Marie-Jose Perec"	0.0786565
helix	0.0783281
"match point"	0.0763645
whammy	0.0754399
somersault	0.0749085
"Jonathan Edwards"	0.0733643
bungee	0.0658775
uppercut	0.0643855
scull	0.0611765
"Kieren Perkins"	0.0596926
"dance step"	0.0580915
"bank shot"	0.0571877
"drop shot"	0.0563919
Ironman	0.0556569
"white line"	0.0548835
"three homers"	0.053033
"solar radiation"	0.0529301
mastectomy	0.0528937
Redux	0.0528588
hustings	0.0527147
"chip shot"	0.0524894
"fire drill"	0.0523892
hole-in-one	0.051709
"Michelle Smith"	0.0509936
enema	0.0508295
"foul shot"	0.0506803
Butyrskaya	0.0506293
Rupert	0.0501186
"mouse click"	0.0490779
"first match point"	0.0488079
"bit part"	0.0487184
Natasha	0.0476872
"Mike Caruso"	0.0471239
Wishbone	0.0470805
"four @-pointers"	0.0459896
stroller	0.0458026
"six homers"	0.0455173
permutation	0.0453479
platinum	0.0450123
"ground stroke"	0.0447225
Stolle	0.0446486
latte	0.0445486
smashing	0.0443574
Fen	0.0441776
"engine failure"	0.0440186
chairlift	0.043425
"three @-pointers"	0.0434165
hearsay	0.0433292
"Martin Schmitt"	0.0433074
Cepeda	0.0429769
title-holder	0.0428897
"Lap @@"	0.0426906
"little finger"	0.0426582
"knockout punch"	0.0423848
"crossword puzzle"	0.0422393
lattes	0.0417959
"gas pedal"	0.0417612
"leading off"	0.0415259
"Fu Mingxia"	0.041185
"wedding ceremony"	0.0406085
"approach shot"	0.0405205
hat-trick	0.0404007
one-two	0.0403823
"two homers"	0.0403726
"price list"	0.040251
Ilie	0.0401419
"prostate gland"	0.0400504
))
("Axel Schulz" (desc 1693.83) (sims
"Michael Moorer"	0.21912
"Vaughn Bean"	0.191121
"Lou Savarese"	0.186659
"Larry Holmes"	0.185245
"Shannon Briggs"	0.184122
"Evander Holyfield"	0.159815
"Riddick Bowe"	0.155214
"Henry Akinwande"	0.151495
Bowe	0.141791
"Francois Botha"	0.137383
"Frank Bruno"	0.135769
"Buster Douglas"	0.126306
"Andrew Golota"	0.123919
"Sonny Liston"	0.1239
"George Foreman"	0.121033
"Julius Francis"	0.120185
"Pernell Whitaker"	0.116502
"Mike Tyson"	0.116181
"Lennox Lewis"	0.11433
"Johnny Tapia"	0.113219
"Oliver McCall"	0.113111
Chancellor-elect	0.106921
"Gunda Niemann-Stirnemann"	0.101408
"Martin Schmitt"	0.0971282
"Michael Grant"	0.0958222
"Katja Seizinger"	0.0951246
"Ike Quartey"	0.0921437
"Hilde Gerg"	0.0904577
Akinwande	0.0903547
Moorer	0.0898874
"Heike Drechsler"	0.0864946
Schulz	0.0864289
"Erik Zabel"	0.0850409
"Volkswagen AG"	0.0845516
DAX	0.0841566
Evander	0.0825722
Hearns	0.0823224
"Bayer Leverkusen"	0.0802749
"Ralf Schumacher"	0.0800136
"Joe Frazier"	0.0796915
"Martina Ertl"	0.0793576
"Sandra Voelker"	0.0787288
"Yu Zhuocheng"	0.0783028
"Oba Carr"	0.0765719
"Borussia Dortmund"	0.0762935
"Sugar Ray Leonard"	0.0751829
"Anke Huber"	0.0748626
"Arnaud Di Pasquale"	0.0747513
"Tommy Haas"	0.0742369
"Deon Hemmings"	0.0736474
autobahn	0.073139
Liston	0.0725654
"Felix Savon"	0.0725304
"Michael Stich"	0.0722586
"Deutsche Bank AG"	0.0718885
"Roger Federer"	0.0716337
Takanohana	0.0714935
Tapia	0.0713102
Quartey	0.0710155
Hoya	0.0700236
"South African Amanda Coetzer"	0.069943
"Maria Butyrskaya"	0.0697679
"Nicolas Kiefer"	0.0696016
"Oscar De La Hoya"	0.0688592
Mantilla	0.0685033
"Jackson State"	0.0682395
Longo	0.0676714
Kaiserslautern	0.0664411
"Siemens AG"	0.0663814
"Mannesmann AG"	0.0663373
"Larry Nelson"	0.0662129
Kasparov	0.0659114
"CHARLOTTE STING"	0.0656861
"Russian Yevgeny Kafelnikov"	0.0655273
"Dresdner Bank"	0.0651186
"Daimler-Benz AG"	0.0649561
Ullrich	0.0649285
"Le Jingyi"	0.064303
"Asa Carlsson"	0.0640057
Whitaker	0.0639227
"Boris Becker"	0.063429
Nicol	0.0634081
"Partizan Belgrade"	0.0633755
"Jorgen Persson"	0.0632538
"Calgary Flames"	0.0631989
"Rocky Marciano"	0.0631107
"Bernhard Langer"	0.0629723
"Kostya Tszyu"	0.0628853
"Allen Johnson"	0.0625685
"Klaus Kinkel"	0.0624795
Schalken	0.0618538
"Phenix City"	0.0618344
"Steffi Graf"	0.0616047
"Paulie Ayala"	0.0615235
"Rodney Eyles"	0.0613547
"Werder Bremen"	0.0613476
"John Godina"	0.0611507
"Jonathan Edwards"	0.0606736
"Claudia Pechstein"	0.0606214
"Garry Kasparov"	0.0604778
Testud	0.0604454
"Orlin Norris"	0.060134
Campas	0.0599768
Daimler-Benz	0.059922
"Christine Arron"	0.0598957
"Favorite Trick"	0.0594772
"Free Democratic Party"	0.0589697
Susanti	0.0588816
"Anatoly Karpov"	0.0587661
"Bjorn Borg"	0.0585557
"Budi Santoso"	0.0584426
"Brian Watts"	0.0584201
"Wang Junxia"	0.0582993
"Cara Black"	0.058161
"American Chanda Rubin"	0.057904
"Marcelo Filippini"	0.0576587
"Julio Cesar Chavez"	0.0575901
Thyssen	0.0575186
joblessness	0.0574539
"Blaine Wilson"	0.057329
"Anne Kremer"	0.0569276
"Magdalena Maleeva"	0.0567424
Lindland	0.0567068
"Richard Krajicek"	0.0564222
"Oliver Bierhoff"	0.0563558
"Jerome Golmard"	0.0561401
"Juli Inkster"	0.0557429
Raoux	0.0554496
"Joschka Fischer"	0.0554317
"Ivan Lendl"	0.0553802
Lufthansa	0.0553366
"Roy Jones Jr."	0.0553272
"David Reid"	0.0551751
Stoltenberg	0.0549036
"Kieren Perkins"	0.0548673
"Michael Schumacher"	0.0548432
"Andres Gomez"	0.0547118
Sidot	0.0546435
WBA	0.0545426
"Christian Democratic Union"	0.0544921
"Bayern Munich"	0.0543391
Sugiyama	0.0540711
Sanchez-Vicario	0.054053
"Paul Tergat"	0.0540253
Jansher	0.0537685
"Neville Godwin"	0.05375
Utes	0.0533329
"Susie O'Neill"	0.053232
Duran	0.0531744
chancellery	0.0530952
"Kong Linghui"	0.052981
"Wang Tao"	0.0529668
Sautin	0.0528943
"Joe Louis"	0.052843
"Felix Mantilla"	0.0527621
"Gary Player"	0.0526914
"Elvis Stojko"	0.0526239
Nateq-Nouri	0.0524857
"Indiana State"	0.0519089
"David Prinosil"	0.0516987
"Billie Jean King"	0.0516886
"Guo Jingjing"	0.0515474
"Van Roost"	0.0515397
"McNeese State"	0.0515276
"Horst Koehler"	0.0513172
"American Lindsay Davenport"	0.051295
"Australian Mark Philippoussis"	0.0512269
"Hernan Gumy"	0.0510461
"Sanchez Vicario"	0.0509951
"Nick Faldo"	0.0509474
Karpov	0.0509335
"Jana Novotna"	0.0508177
"break of serve"	0.0506537
"Sergi Bruguera"	0.0505938
"Florencia Labat"	0.0505579
"Conchita Martinez"	0.0504591
gamecock	0.0503889
ensign	0.0501615
"Mariano Zabaleta"	0.0501057
"Wang Yifu"	0.0498697
"Derrick Adkins"	0.0498413
"Wang Liqin"	0.0498308
"Liu Guoliang"	0.0497866
"Jenny Chuasiriporn"	0.0497853
WSU	0.0496984
"Muhammad Ali"	0.0496342
"Fob James"	0.0495742
"Nicole Pratt"	0.0495455
Kashima	0.0495368
"New York-New Jersey MetroStars"	0.0494845
"Li Xuemei"	0.0494714
"Roberto Duran"	0.0493668
"Andreas Vinciguerra"	0.0493507
"Sabine Appelmans"	0.0493395
"Peter Gade Christensen"	0.0492895
Majoli	0.0491742
Berasategui	0.0491388
"Chris Woodruff"	0.0491281
Brondby	0.0490679
"Jim Florio"	0.0490062
))
(axelsson (desc 1029.8) (sims
Heinze	0.164733
Jonsson	0.132665
Andreychuk	0.124266
Niedermayer	0.122221
Karlsson	0.122166
Audette	0.120095
Susanti	0.114359
Kamensky	0.100163
"Dai Yun"	0.0904412
Recchi	0.089186
"Peter Rasmussen"	0.0875904
Flockhart	0.0806678
LeClair	0.0802969
Nedved	0.0796796
Carbonneau	0.0788118
Hecht	0.0763894
Primeau	0.0725696
Norstrom	0.0719569
Rasmussen	0.0715701
Illini	0.0712057
Hwang	0.0707435
Tverdovsky	0.0700322
Drury	0.0682758
Brenda	0.067974
Smolinski	0.0674825
Darren	0.067425
Lobo	0.0669528
"Brenden Morrow"	0.0668345
Stillman	0.0661914
Reichel	0.0646852
Gilmour	0.0645872
Graziani	0.0637112
Lehtinen	0.0632632
Nicol	0.0629918
Shenhua	0.0620457
Osgood	0.0620147
Grbac	0.061586
Sung	0.0609912
"Tim Taylor"	0.0608209
Gustafsson	0.0599633
"Poul-Erik Hoyer-Larsen"	0.059522
Alomar	0.0594182
Schoenfeld	0.0589933
Wah	0.0583465
Hendrawan	0.0582887
Klinsmann	0.0582777
Kovalev	0.0581169
Suker	0.0571185
Starzz	0.0569256
Johansson	0.0568411
Barrie	0.0566063
Sacco	0.0562396
hermosillo	0.0559921
Ida	0.0559772
Fedorov	0.0558449
Alves	0.0558028
Kohn	0.0556041
AEK	0.055588
Quay	0.055467
"Hurricane Bret"	0.0552509
DiMaio	0.0551585
"Wang Chen"	0.0551029
Testud	0.0550622
DiSarcina	0.0547959
Nieuwendyk	0.0546729
Santoro	0.0546172
Ra	0.0544028
Stumpel	0.0535551
McKenna	0.0533856
Meston	0.0533803
Spartak	0.0533434
Turgeon	0.0532156
Gorter	0.0530959
Rucchin	0.0525418
Counsell	0.0525171
"Western Samoa"	0.0525168
"Cook Islands"	0.0524966
Ilie	0.0524827
"Adrian Voinea"	0.0523932
"Andy Sheets"	0.0520681
Barrasso	0.052024
Sydor	0.0518978
sis	0.0517764
"Paul Johnson"	0.0517515
Ruben	0.0513976
Roenick	0.0512516
"Jackson State"	0.0511675
Nasrin	0.051106
census-takers	0.0510492
Ertl	0.0510159
Woolley	0.0507791
McIver	0.0507713
Atwater	0.0507557
"Dez White"	0.0504838
Hatcher	0.0504579
Holik	0.0502268
CAMILLA	0.0501707
Gremio	0.0501424
"Gong Zhichao"	0.0500413
Najera	0.0499468
Lindros	0.049922
Dosedel	0.0498999
Lapentti	0.0497403
"Jason Allison"	0.049729
Likhovtseva	0.0496519
Laudrup	0.0495892
Worrell	0.0493
Vizcaino	0.0492676
Vacek	0.0492425
RSA	0.0492407
Yoo	0.049221
gamecock	0.0491487
Serna	0.0491348
"Brett Hull"	0.0489514
"Adam Graves"	0.048851
Min	0.0487687
Dawkins	0.0486245
"Jamie Storr"	0.0486062
Palffy	0.0484764
Picard	0.0484128
Jin	0.0481972
"Anson Carter"	0.0481769
Ordonez	0.0481685
Pederson	0.04814
Baugh	0.048059
Sehorn	0.0479054
"Miguel Cairo"	0.0477893
Linden	0.0476479
Langdon	0.0476093
Meares	0.0475834
Zidane	0.0475444
Berard	0.0474575
Thuram	0.0473223
Peca	0.0472361
Collin	0.0472227
Sykora	0.0472029
"Simon Archer"	0.0471999
Hwa	0.0471509
"Rashid Sidek"	0.0471019
"Partizan Belgrade"	0.0467634
Grahame	0.0466745
outhit	0.0466618
Prinosil	0.0466366
"Paul Gascoigne"	0.0465561
"Fredrik Olausson"	0.0464511
"Qin Yiyuan"	0.0462299
Konstantinov	0.0461122
Paus	0.0461108
Laettner	0.0460913
Blackhawks	0.0460788
Xiao	0.0458499
Asprilla	0.0458357
Gatti	0.0458011
Bergkamp	0.0457729
Jinzhou	0.0457482
Dilfer	0.0456666
Cruzeiro	0.0456634
Duchesne	0.0456153
Briere	0.0454916
"Scotty Bowman"	0.0454369
Lugo	0.0454266
NED	0.0452996
Nesby	0.0452915
"Red Star"	0.0452317
Eliza	0.0451811
Samsonov	0.0450281
Kukoc	0.0449622
"Albert Portas"	0.0449536
McCann	0.0449113
Lafleur	0.0448796
"Old Dominion"	0.0447911
"David Palmer"	0.044627
Lett	0.0445291
Baumhammers	0.044364
Barnaby	0.0443334
Lareau	0.0441713
Nada	0.0440832
Matvichuk	0.0440689
"High Yield"	0.0439247
Capriati	0.0439211
Fuhr	0.0438119
Waldner	0.043772
Halard-Decugis	0.0436221
"Luis Sojo"	0.0435909
"Joe Nieuwendyk"	0.0434568
Soares	0.0433806
"Ryan Kealy"	0.0432841
"Dallas Drake"	0.0432682
"Mark Grudzielanek"	0.0432542
Dele	0.0431937
Warne	0.0431172
"Wang Shi-Ting"	0.0430653
Berasategui	0.0429974
Samuelsson	0.0429168
"Jason Kendall"	0.0428161
Khristich	0.0427079
Gilkey	0.0426954
"Jason Sehorn"	0.0425755
"Cessna @@@"	0.0425677
Storr	0.0424322
))
(axiom (desc 2997.2) (sims
adage	0.163734
Truism	0.163022
verity	0.121951
maxim	0.107224
aphorism	0.106325
"rule of thumb"	0.0890554
cliche	0.0872679
epigram	0.0872017
proverb	0.0832393
tenet	0.0806332
crosscurrent	0.0802549
precept	0.0796404
mantra	0.078124
credo	0.0773741
canard	0.0761731
"inferiority complex"	0.075909
refrain	0.0756054
analogy	0.0750811
misconception	0.0738681
admonition	0.0726228
paradox	0.070244
"golden rule"	0.0698424
buzzword	0.0681469
nostrum	0.0669938
wisdom	0.0660313
bugaboo	0.0655025
dictum	0.064427
"school of thought"	0.0643627
parlance	0.0643312
stereotype	0.0642276
hypothesis	0.064204
hunch	0.0641787
misperception	0.0641607
misjudgments	0.0633828
annals	0.0630424
bromide	0.0629036
baloney	0.0625915
dogma	0.0621277
expedient	0.0620978
conundrum	0.0620043
oddity	0.0618799
lore	0.0615077
superstition	0.0613233
arithmetic	0.0609792
doctrine	0.0601181
adjective	0.0595111
gibe	0.0587252
logic	0.0587221
theorem	0.0582991
daydream	0.0582633
"modus operandi"	0.0578532
"success story"	0.057844
commandment	0.0575907
intangible	0.0574259
stat	0.0568451
myth	0.0562008
"white elephant"	0.0561926
vagabond	0.0561518
paucity	0.0560802
"legal principle"	0.0559653
pitfall	0.0558668
idiocy	0.0553947
"pecking order"	0.0548592
"hue and cry"	0.0546188
fallacy	0.0545785
Catch-@@	0.0543775
mind-set	0.0538687
"fundamental principle"	0.0538472
peculiarity	0.0537518
copout	0.0536884
bastion	0.0534793
calculus	0.0531774
ethos	0.0527775
"piece of music"	0.052666
blather	0.0526587
orthodoxy	0.0523952
"art form"	0.052202
Lexicon	0.0517492
taboo	0.0515804
"talking point"	0.0514586
Ohioan	0.0514281
"hot potato"	0.0514214
laughingstock	0.0512964
"morality play"	0.0512377
lifer	0.0511762
duality	0.0509792
presumption	0.0509599
"baseball glove"	0.0508191
"bag of tricks"	0.0507475
mindset	0.0505252
motto	0.0504592
give-and-take	0.0502883
dichotomy	0.0502689
yardstick	0.0502208
"house of cards"	0.0502159
thesis	0.0501374
"Reagan Democrats"	0.0498988
"Passion play"	0.0494632
"basic principle"	0.0494582
hotbed	0.0492377
warhorse	0.0492193
reasoning	0.0491377
unpredictability	0.049007
charade	0.0489841
hothouse	0.0487772
"guessing game"	0.0487156
"Great Divide"	0.0484874
creed	0.0484596
supposition	0.0481676
misjudgment	0.0481616
Legos	0.0480476
Colburn	0.0479019
almanac	0.0477471
miscalculation	0.0477143
decision-makers	0.0476328
"choice of words"	0.0475836
greats	0.0475349
"big picture"	0.0474841
euphemism	0.0474101
"trading card"	0.0473965
criminalization	0.0473878
"New Style"	0.047384
gripe	0.0473478
caveat	0.0472947
"law of nature"	0.0471571
bellwether	0.0469987
"strong belief"	0.0465409
aggressiveness	0.0463035
pragmatism	0.046261
quandary	0.046239
infamy	0.0461932
doomsayers	0.0460864
incompatibility	0.0456812
enmity	0.0456345
merry-go-round	0.0456343
ruckus	0.0455588
imperatives	0.0455581
preconception	0.0455466
fable	0.0455129
dealmaker	0.0454576
quagmire	0.0452418
stubbornness	0.0452315
Lullaby	0.0452258
autocracy	0.0451117
conceit	0.0447311
"shell game"	0.0446446
vernacular	0.0446294
tradeoff	0.0445962
jargon	0.0445816
antagonist	0.0445098
shorthand	0.0444971
correctness	0.0443698
"component part"	0.0441999
chronicler	0.0441008
formulation	0.0440455
"the good old days"	0.0440211
misunderstanding	0.0440167
"warning signal"	0.0440142
realignments	0.0439353
categorization	0.043926
certainty	0.0438638
notions	0.0437731
"fault line"	0.0437599
getup	0.0436708
efficacy	0.043659
"joie de vivre"	0.0436463
"summer house"	0.0436258
immaturity	0.0435795
"North Carolinian"	0.0435754
bigwig	0.0435495
nastiness	0.043355
rationale	0.0433173
parable	0.0431029
"difference of opinion"	0.0429673
"triple play"	0.0429426
inexperience	0.0429067
futility	0.042857
"high priest"	0.0428542
shallowness	0.0428505
"common denominator"	0.0428398
chum	0.0427936
awkwardness	0.0426205
phenoms	0.0425923
fraternity	0.0425694
savant	0.0425579
subtext	0.0425329
"numbers game"	0.042526
"computer language"	0.0424687
"one line"	0.0424435
archetype	0.0424426
pleaser	0.0423537
grievance	0.0422941
moniker	0.0422937
equation	0.0422761
potboiler	0.0421944
ploy	0.0421255
"line drawing"	0.0421009
hokum	0.0419913
team.	0.0419721
impossibility	0.0419328
))
(axis (desc 9343.45) (sims
"center of gravity"	0.0569049
"trunk road"	0.0540371
turntable	0.0518877
"trunk line"	0.0507884
"balance of power"	0.0502868
pillar	0.0482362
"sphere of influence"	0.0482093
"demarcation line"	0.0465532
thoroughfare	0.0464789
"component part"	0.0449355
"sea lane"	0.0444488
"customs union"	0.04419
protectorate	0.0438854
"line of products"	0.0431269
Aventis	0.0423519
"power structure"	0.042154
parameter	0.041659
dissipation	0.0406733
"international criminal court"	0.0406564
"highway system"	0.0405089
superpower	0.0404961
alignment	0.0402206
updraft	0.0401904
))
(axle (desc 4971.42) (sims
strut	0.127885
"suspension system"	0.122371
"power steering"	0.103671
"landing gear"	0.101948
windscreen	0.0997576
chassis	0.0987863
brake	0.0966365
wheel	0.0942429
fender	0.0938153
"shock absorber"	0.0928674
steering	0.0926431
gearbox	0.0869673
headrest	0.0865968
"steering wheel"	0.0848622
fascia	0.082874
"cruise control"	0.0801078
wiper	0.0797138
propeller	0.0732826
bumper	0.0723726
armrest	0.0717147
hydraulics	0.0714099
airbags	0.070045
headlight	0.068203
"seat cushion"	0.0679499
pulley	0.067898
Tyre	0.0673381
motor	0.0672779
bogy	0.0671062
"air bag"	0.0669007
"hydraulic system"	0.0664024
"sheet metal"	0.0659711
"bucket seat"	0.0631913
"brake system"	0.0624001
"automatic transmission"	0.0621195
"outside mirror"	0.0590702
air-conditioning	0.0585951
spoiler	0.0583793
windshield	0.0579603
headroom	0.0578067
"electric motor"	0.0575943
femur	0.0569418
compartment	0.0566487
"diesel engine"	0.0558324
grille	0.0556994
loader	0.0551428
"front end"	0.0550115
fastener	0.0540504
"stereo system"	0.0537167
aerodynamics	0.0534752
chokehold	0.0515958
deflector	0.0514154
carburetor	0.0511825
"cargo area"	0.0508357
stabilizer	0.0507985
alloy	0.050789
fuselage	0.0502994
stanchion	0.0502608
tailgate	0.050112
traction	0.0499002
pinkie	0.0493013
Airstream	0.0487973
blade	0.0481457
instrumentation	0.0475354
Differential	0.0473175
flaps	0.0462062
carriage	0.0461951
"seat belt"	0.0460983
"shoulder blade"	0.0459661
"escape hatch"	0.045625
"rear end"	0.0452191
jackscrew	0.0445054
prong	0.0445008
fibula	0.0443946
rudder	0.0440491
"eye socket"	0.043929
radiator	0.0437655
afterburner	0.0435955
"pedestrian bridge"	0.0435121
knob	0.0431428
"audio system"	0.0430702
tailpipe	0.0429086
titanium	0.0424671
pane	0.0423081
rotor	0.0422743
washer	0.0419279
accelerator	0.0417043
sled	0.0416618
legroom	0.0415822
"leg bone"	0.0414347
seatbelt	0.040292
))
(Axworthy (desc 2278.56) (sims
Siazon	0.305452
"de Charette"	0.272621
Cem	0.264166
Velayati	0.26368
Dini	0.260699
Azad	0.243391
Nzo	0.242877
Rifkind	0.239833
Jayakumar	0.238808
Komura	0.228292
Guterres	0.227388
Pangalos	0.225952
Kono	0.224616
Ikimi	0.219015
Abdel-Meguid	0.214339
Ruehe	0.211941
Vedrine	0.208761
Constantinescu	0.208582
Moratinos	0.206416
Boueiz	0.204557
Akayev	0.203225
Pickering	0.202676
Shareh	0.202218
Kharrazi	0.200094
Stoyanov	0.196626
Chretien	0.195776
Granic	0.195612
Majali	0.194343
Ikeda	0.193724
Camdessus	0.19363
Kinkel	0.193527
Surin	0.192328
Brittan	0.191285
Lipponen	0.190731
Scalfaro	0.190357
Zou	0.190007
Klima	0.189966
Luong	0.188713
Phieu	0.188158
Alatas	0.187637
Karimov	0.186137
Wolfensohn	0.184778
Scharping	0.182182
Sumaye	0.181788
Kabariti	0.181731
Kostov	0.181704
Goh	0.181659
Moussa	0.180802
Vollebaek	0.178174
Pustovoitenko	0.17653
Kasoulides	0.176214
Ivanov	0.176108
Chissano	0.17581
Narayanan	0.17411
Frei	0.171933
Mkapa	0.171231
Aziz	0.169782
Diouf	0.169214
Klestil	0.166644
Kok	0.166193
Brahimi	0.165817
Santer	0.165227
Meguid	0.164459
Stroyev	0.164383
Qian	0.163578
Modise	0.163534
Orban	0.162152
Leghari	0.15979
Holl	0.159619
Shevardnadze	0.159204
Khai	0.159184
Nujoma	0.159132
Niyazov	0.158137
Yastrzhembsky	0.158072
Rong	0.157976
Deuba	0.157623
Ganzouri	0.157035
Rodionov	0.156814
Talbott	0.15669
Sergeyev	0.156241
Eizenstat	0.155149
Meles	0.154706
Fino	0.154113
Demirel	0.152541
Downer	0.151356
tang	0.150325
Malan	0.148862
Hamad	0.148806
Jia	0.148607
Chavalit	0.148139
Hrawi	0.148026
Kuchma	0.145769
Khaddam	0.145363
"De Soto"	0.145219
"Lee Hsien Loong"	0.144514
Singson	0.144424
Ben-Ami	0.144018
"Secretary General Esmat Abdul-Meguid"	0.143819
Gujral	0.143754
Fischer	0.143037
Harmoko	0.142331
Zeroual	0.141871
Muluzi	0.140643
Tsang	0.140571
Qiao	0.140569
Zuma	0.140395
Simitis	0.140235
Nazarbayev	0.140022
Husseini	0.139141
Kwasniewski	0.139078
Solana	0.138993
Tarrin	0.138423
Vasile	0.138405
Sahnoun	0.137863
"Khin Nyunt"	0.137668
Soares	0.137488
Gurirab	0.13748
Juma	0.137133
Grachev	0.136927
Zeng	0.136488
Aliyev	0.136487
"Chuan Leekpai"	0.136425
Shi	0.136203
"Vo Van Kiet"	0.136056
Prueher	0.136046
"Tareq Aziz"	0.135984
"Chavalit Yongchaiyudh"	0.135551
Saleh	0.135317
Museveni	0.134914
Koirala	0.134858
Ciampi	0.134811
"Inder Kumar Gujral"	0.134295
Chuan	0.133771
Hasina	0.133269
al-Khatib	0.132901
Papandreou	0.132757
Bildt	0.132052
Kromah	0.131975
"Amnuay Virawan"	0.131905
Mordechai	0.131763
Malu	0.13174
Masire	0.13167
"Abdul Karim Kabariti"	0.13165
Brundtland	0.130978
Tian	0.130939
Muoi	0.130545
Insulza	0.130345
"Frederick Sumaye"	0.129678
Juncker	0.129646
Xanana	0.129476
Buzek	0.12944
Juppe	0.128831
"Abidine Ben Ali"	0.12871
Rau	0.128653
Ogata	0.128106
Rakhmonov	0.128035
"Mikhail Kasyanov"	0.127723
"Goran Persson"	0.127389
"Tariq Aziz"	0.127364
Obeid	0.127337
Banharn	0.127241
Barshefsky	0.126803
"H.D Deve Gowda"	0.126763
Shaath	0.126603
Ahtisaari	0.126335
Hariri	0.126287
"Tim Fischer"	0.126251
Mbeki	0.126249
Persson	0.125638
Jovanovic	0.125353
Iliescu	0.125168
Sampaio	0.125071
"Maung Aye"	0.124934
el-Ganzouri	0.124909
Dehaene	0.12444
"William Perry"	0.124351
Prodi	0.12413
Shipley	0.124061
"Boris Nemtsov"	0.12366
al-Sahaf	0.123643
Rasmussen	0.123599
al-Sahhaf	0.12351
"I.K Gujral"	0.121958
Gaddafi	0.121895
Lahoud	0.121777
Bruton	0.121768
Primakov	0.121337
Fabius	0.120911
Menem	0.120534
"William S. Cohen"	0.120399
Hu	0.120117
Chiluba	0.119974
Chirac	0.119847
Ecevit	0.11949
"Fayez Tarawneh"	0.119362
Albright	0.119195
Fernandes	0.118892
Bolger	0.118747
Luo	0.118455
"Prime Minister Kamal El-Ganzouri"	0.118305
Aventajado	0.118295
"Than Shwe"	0.118091
Nemtsov	0.117761
Salim	0.117695
"Igor Ivanov"	0.117587
"Pascoal Mocumbi"	0.117495
"Xie Zhenhua"	0.117306
Jospin	0.11728
Tung	0.117177
"Speaker Ali Akbar Nateq-Nouri"	0.117081
Yilmaz	0.117066
Seleznyov	0.116989
Abdullah	0.116402
Gowda	0.116251
Koo	0.116207
"George Robertson"	0.116144
Bellamy	0.116119
"William Cohen"	0.115837
Abbas	0.115731
"Necmettin Erbakan"	0.11567
Cui	0.115602
"Ung Huot"	0.115572
Chi	0.115572
Cohen	0.115347
"Atal Bihari Vajpayee"	0.115073
Clerides	0.11441
"Michael Heseltine"	0.114234
Bhattarai	0.113877
"Supachai Panitchpakdi"	0.113797
wen	0.113783
Wu	0.11375
Annan	0.113693
Mandela	0.113411
"Chief Executive Tung Chee-hwa"	0.113236
Zhirinovsky	0.113203
"Deve Gowda"	0.112784
Indyk	0.112765
Schuessel	0.112215
ITU	0.112146
Strauss-Kahn	0.112017
Sharaa	0.111342
Aznar	0.110711
Berri	0.110647
"Jean Chretien"	0.110357
"Secretary General Esmat Abdel-Meguid"	0.110268
Majko	0.110177
Mubarak	0.110165
Cao	0.110032
Herzog	0.110005
"Valery Pustovoitenko"	0.109928
"Yossi Sarid"	0.10983
Iglesias	0.109777
Sheng	0.109729
Nateq-Nouri	0.109715
"Prime Minister Banharn Silpa-Archa"	0.109662
Vice-Premier	0.109586
"Pandeli Majko"	0.109544
"Romano Prodi"	0.109508
Kumaratunga	0.109488
Cardoso	0.109259
Weizman	0.109214
Tarawneh	0.109147
Kyprianou	0.108987
D'Alema	0.108789
"Abdullah Ahmad Badawi"	0.108761
Rubin	0.108041
Christopher	0.107975
Kavan	0.107741
Berger	0.107691
Moi	0.107639
"Dos Santos"	0.107615
"Salim Hoss"	0.107525
"Goh Chok Tong"	0.10712
Eran	0.107005
Shamshad	0.106957
Abubakar	0.106882
Severino	0.106693
"Defense William Cohen"	0.106444
"Jerzy Buzek"	0.10637
Maslyukov	0.106215
Zhu	0.106115
"Phan Van Khai"	0.106084
Hashimoto	0.106072
Ahern	0.105866
"Kim Yong Nam"	0.105813
Mohr	0.105323
Piot	0.105082
"Wlodzimierz Cimoszewicz"	0.105066
al-Hariri	0.104906
Garang	0.104892
"Rafik Hariri"	0.104822
"Costas Simitis"	0.104521
"Tang Jiaxuan"	0.104518
Boutros-Ghali	0.104039
"King Sihanouk"	0.1039
Ingraham	0.103748
"Mesut Yilmaz"	0.103673
"Wu Yi"	0.103529
Vajpayee	0.103507
Tella	0.103364
"National Security Adviser Sandy Berger"	0.10326
"Yuri Maslyukov"	0.102481
"Ryutaro Hashimoto"	0.102325
Murayama	0.102086
"Dennis Ross"	0.102063
"Meles Zenawi"	0.102033
"Bashkim Fino"	0.101585
"Boutros Boutros Ghali"	0.101427
"Sher Bahadur Deuba"	0.101255
"Sergei Stepashin"	0.100816
"Wim Kok"	0.100785
"Igor Sergeyev"	0.10078
Kato	0.100678
Hybl	0.100672
Koehler	0.100652
al-Bashir	0.100598
Al-Faisal	0.100569
"Antonio Guterres"	0.100507
Lari	0.100435
Liang	0.100405
Alarcon	0.10021
"Lamberto Dini"	0.100178
"Bill Skate"	0.100172
Baz	0.100153
))
(Ayala (desc 7609.61) (sims
Tua	0.149251
"De La Hoya"	0.140174
Gatti	0.127331
Botha	0.122722
Tapia	0.121478
Mosley	0.120088
Holyfield	0.115102
Marquez	0.112218
Fassero	0.110992
Schourek	0.108051
Quartey	0.106332
Whitaker	0.103019
Timlin	0.102932
Ruelas	0.102802
Savarese	0.102361
Tyson	0.101208
"Mike Tyson"	0.099582
Cloude	0.0992042
Rosenblatt	0.0976829
Nagy	0.0975779
Gooden	0.0964616
Moehler	0.0958818
Hershiser	0.0953125
Ruiz	0.0948737
Saberhagen	0.0937537
Moyer	0.0930869
"Oscar De La Hoya"	0.0924809
Millwood	0.0913187
Woodard	0.0911679
Neagle	0.0894623
Stottlemyre	0.0890395
Candiotti	0.0887811
Harnisch	0.0884077
Glavine	0.0880247
Radke	0.0870937
Lopez	0.0868671
Hamed	0.0868656
Golota	0.0867265
Mercker	0.0866436
Trinidad	0.0856574
Percival	0.0855024
Sele	0.0854553
Capriati	0.0851995
Aguilera	0.0842206
Mayweather	0.0836475
Mulholland	0.0834793
Lennox	0.0834776
Dreifort	0.0824935
Rueter	0.0822768
Navarro	0.0821881
Schmidt	0.0812276
Camacho	0.0809681
"Lennox Lewis"	0.0804833
Lewis	0.0801986
Vargas	0.0793446
Kile	0.0787259
Ankiel	0.0785336
Akinwande	0.078072
Petkovsek	0.0779074
Andretti	0.0777969
Hoya	0.0770348
Mcbride	0.076964
Skakel	0.0767355
Munoz	0.0764874
Soto	0.0763101
Valenzuela	0.0762135
Pettitte	0.0761306
Borbon	0.0760942
Johnston	0.0760628
Morales	0.0759426
Khalil	0.0758861
Schilling	0.0757931
Witt	0.0757528
Leiter	0.0756321
Saunders	0.0755262
Remlinger	0.0751049
Zito	0.0746177
Frazier	0.0743385
Sparks	0.0739938
Lindland	0.0737566
Gardner	0.073632
Stephenson	0.0730506
beamer	0.0729844
Wohlers	0.072627
"Julio Cesar Chavez"	0.0723034
Erickson	0.0722798
Ali	0.0719737
Baldwin	0.0719161
Carr	0.0719044
Contreras	0.0718006
Gagne	0.0717733
Mantei	0.0716447
Mendoza	0.0716165
Norris	0.0713096
Isringhausen	0.0712255
Atler	0.0710869
Bohanon	0.0707496
Belcher	0.0707369
Bowden	0.0706525
Nunez	0.070577
Rahman	0.0699412
Bierhoff	0.0698989
Morrison	0.0697484
Wakefield	0.0697283
Daal	0.06957
Dokic	0.0695223
Messier	0.0694694
Maradona	0.0692748
Khannouchi	0.0692423
Fernandez	0.0692254
Castillo	0.0691665
Wasdin	0.0689879
Harding	0.0688598
Barrie	0.0687646
Nomo	0.0687302
Gimelstob	0.0687155
Asprilla	0.0686583
Andreychuk	0.0686143
Irvan	0.0686121
Kenseth	0.068479
Laperriere	0.0680105
Mussina	0.0678588
Weinke	0.0677138
Trachsel	0.0676686
Olson	0.0676454
"Jesse Orosco"	0.0673861
Kajiyama	0.0673089
Yarnall	0.0672283
Lucic	0.0672242
Rivera	0.0671918
Garcia	0.0670781
Yoshii	0.0670085
Keating	0.0669643
Waltrip	0.0668308
Bottenfield	0.0668142
"Fernando Vargas"	0.06681
Helling	0.0667582
Ebersol	0.0665728
Benitez	0.066529
Astacio	0.0665092
Holtz	0.066373
swift	0.0663182
Bowe	0.0662785
Irabu	0.0662538
Halama	0.0660919
Rogers	0.0659367
Cooke	0.0659148
Laudrup	0.0658394
Schaeuble	0.0657899
gamecock	0.0657796
Sakic	0.0657698
Choi	0.0657406
Alves	0.065626
"Van Roost"	0.0654752
Herta	0.065356
McDOWELL	0.0653094
Cusack	0.0652229
Murad	0.0651708
Cordero	0.0651177
Lavin	0.065098
Ripken	0.0650642
Orosco	0.0649621
Unser	0.0649514
Loaiza	0.0647534
estes	0.0647267
Molina	0.0647182
"blue devil"	0.064575
Meadows	0.0645244
Vols	0.064498
Gullikson	0.0644548
Duran	0.0643165
Parris	0.0640147
rios	0.0638945
Kelley	0.0638019
Lim	0.0635778
Flores	0.0634917
Katsav	0.0634866
Russo	0.0634316
Zamora	0.0633875
Naumann	0.0633603
Hoffman	0.0631668
Osuna	0.0631223
Forrest	0.0631128
Snyder	0.0630791
Pulsipher	0.0630316
"Maturino Resendiz"	0.0628108
Griese	0.0628052
Jenoff	0.0627328
Meyers	0.0627146
Dierker	0.0626945
Finley	0.062677
Solis	0.0626718
Gravano	0.0626544
Holmes	0.062624
Coley	0.062542
Sheinbein	0.0625372
Paxon	0.0625317
Rusedski	0.0624998
Herron	0.0624256
Hornaday	0.0624094
))
(Ayatollah (desc 1434.44) (sims
"Ayatollah Ruhollah Khomeini"	0.0967649
"Ayatollah Khomeini"	0.0952031
Nasrallah	0.0898807
Amin	0.0822884
"Galina Starovoitova"	0.0812406
"Shao Yunhuan"	0.0724981
Slepian	0.0712603
cayman	0.0699779
Rabbani	0.0688787
"Robert F. Kennedy"	0.066984
Stith	0.0661301
shah	0.0625525
emir	0.0625056
"Mao Tse-tung"	0.0618635
Copt	0.0617894
watchman	0.0616305
"mail carrier"	0.0614683
Ileto	0.0611433
Bruton	0.0611229
Ikimi	0.0609564
"Menachem Begin"	0.0603043
"Rajiv Gandhi"	0.059505
Krasniqi	0.0593881
Kabbah	0.0593084
J.D	0.0589128
"Martha Moxley"	0.0587818
mufti	0.0583406
Guerin	0.0582531
Rawabdeh	0.0580848
Mobutu	0.0576042
Bucaram	0.0575408
sumo	0.0573937
cosmologist	0.0572816
Dudayev	0.0568933
Bratton	0.0561073
al-Sahaf	0.0559852
"Azem Hajdari"	0.0557838
Fino	0.0552934
"medical specialist"	0.0548024
"Indira Gandhi"	0.0546963
"air force officer"	0.0545534
"Hafez Assad"	0.0544164
Sheik	0.0543795
"Seattle Slew"	0.0543661
Mae	0.0542911
Arkan	0.0540051
cantor	0.0535827
"Gianni Versace"	0.053295
Meguid	0.0532687
sherpas	0.0530026
Khomeini	0.0529368
"Nicole Brown Simpson"	0.0521398
"Fidel Castro"	0.0519148
Koroma	0.0517225
LaPierre	0.0516541
Duvalier	0.051499
sharecropper	0.0514857
Kharrazi	0.0512542
Erekat	0.0510882
Manley	0.0509411
gynecologist	0.0506194
Biko	0.0503868
"JonBenet Ramsey"	0.0501461
Juma	0.0498981
Ceausescu	0.0498245
"Robert Kennedy"	0.049794
Khamenei	0.0496593
Scrooge	0.0494752
Akebono	0.0493867
Prewitt	0.0493792
Starovoitova	0.0491331
mailman	0.0491023
"Les Bleus"	0.0489531
humpback	0.0488461
Mohamed	0.0488365
clergyman	0.0487987
"James Byrd"	0.0484597
"Moammar Gadhafi"	0.0483515
Holl	0.0482231
"spiritual leader"	0.047782
wen	0.0477065
Sumaye	0.0476446
"prize winner"	0.0474628
Aidid	0.0474627
Kyprianou	0.0472221
Moxley	0.0471949
"Pol Pot"	0.0471942
"prayer meeting"	0.0471912
Pangalos	0.0471887
"civil rights leader"	0.0471025
policymaker	0.0468963
Khrushchev	0.0466859
Rabin	0.0466619
Gatling	0.046638
el-Bashir	0.046586
Yastrzhembsky	0.0465342
"Reggie Lewis"	0.0463334
"Sani Abacha"	0.0462402
Qaddafi	0.0461169
Hajdari	0.0460705
"Kamal Kharrazi"	0.045832
Mkapa	0.0457309
Kai-shek	0.0457291
"Omar Torrijos"	0.0455103
"Mohamed Siad Barre"	0.0454614
abacus	0.0454194
Velayati	0.0454058
Demaci	0.0453868
Dostum	0.0453368
Winchell	0.0452373
"Kosovo Serbs"	0.045167
militiaman	0.0451183
"King Fahd"	0.0450581
"Ron Brown"	0.0449353
Diouf	0.04491
Moratinos	0.0447029
"John Adams"	0.0441732
"Kim Il Sung"	0.0441163
Tsang	0.0439509
"economic expert"	0.0438682
Wakanohana	0.0437409
Waigel	0.0437328
"King Norodom Sihanouk"	0.0437141
clergymen	0.0435371
"Russian Parliament"	0.0434691
Cliburn	0.0434683
"Parti Quebecois"	0.0433904
"folk singer"	0.043345
"Nicholas II"	0.0431783
Hamid	0.0431414
Malu	0.043075
educationist	0.0430377
"belly dancer"	0.0430241
Takanohana	0.0430127
lifer	0.043003
"political dissident"	0.0429377
Aideed	0.0429051
"Andreas Papandreou"	0.0428521
Allende	0.0428438
Zhivkov	0.0427775
"Sonny Bono"	0.0426859
Panchen	0.0426451
Falcone	0.0424931
Rodionov	0.0424042
"Edmund Hillary"	0.042403
Snead	0.0423668
"administrative official"	0.0423525
"Adolf Eichmann"	0.0422735
NDP	0.0422271
acrobat	0.0421242
inquisitor	0.0420936
arabesque	0.0418615
Nkomo	0.0418189
Buyoya	0.0415554
"Mobutu Sese Seko"	0.0413996
"Tin Oo"	0.0413923
livery	0.0413822
"John Coltrane"	0.0412966
Kouchner	0.0412772
Casserly	0.0412307
Neulander	0.0411962
Mustafa	0.041159
"Martin Luther King"	0.041156
pharaoh	0.0410873
singer-songwriters	0.0410244
Protas	0.041024
Lindbergh	0.0410183
Webdale	0.041016
"Medgar Evers"	0.0409144
Ingush	0.0409135
Chiluba	0.0408738
indies	0.0408139
Yosef	0.0407629
postman	0.0407593
ornithologist	0.0407436
Jobe	0.0407109
"Lei Feng"	0.040636
prospector	0.0406153
traditionalism	0.0404445
Rifkind	0.0403894
"King Juan Carlos"	0.0402881
NIC	0.040288
"John Brown"	0.0402344
al-Sahhaf	0.0402195
"wild horse"	0.0401594
"George Carlin"	0.0401509
Batista	0.0401446
"Leon Hess"	0.0400574
Aliev	0.0400419
Schuessel	0.0400099
))
("Ayatollah Ali Khamenei" (desc 2943.55) (sims
"Ayatollah Ruhollah Khomeini"	0.240418
"William Hague"	0.185032
"Joseph Bruno"	0.172185
Khamenei	0.161822
"Johnny Paul Koroma"	0.152265
"Xanana Gusmao"	0.142524
"Wolfgang Schaeuble"	0.141369
"Zoran Djindjic"	0.138206
"Hashim Thaci"	0.136317
"Moammar Gadhafi"	0.135853
"Sheikh Ahmed Yassin"	0.132377
"Kim Il Sung"	0.130255
"Aryeh Deri"	0.129361
"Foday Sankoh"	0.129347
Sheik	0.125277
Chand	0.123693
"Vuk Draskovic"	0.1236
"Gerry Adams"	0.122051
"Yossi Sarid"	0.120829
"David Duke"	0.119639
"Amien Rais"	0.117242
"Dalai Lama"	0.115916
D-Mo.	0.113863
"Abdurrahman Wahid"	0.112413
"Mikulas Dzurinda"	0.112372
"Sonia Gandhi"	0.112081
"Megawati Soekarnoputri"	0.112011
"Bizima Karaha"	0.111797
"Gennady Zyuganov"	0.111238
"Ta Mok"	0.109928
"Ieng Sary"	0.108947
"Dick Gephardt"	0.108183
"Mohammad Khatami"	0.108149
"Richard Gephardt"	0.107828
"Vladimir Zhirinovsky"	0.1077
"Ibrahim Rugova"	0.107164
"Dick Armey"	0.107122
"Helen Clark"	0.107102
"Radovan Karadzic"	0.106379
"John Hume"	0.105422
"Tom Daschle"	0.104164
"Sher Bahadur Deuba"	0.103489
"Vojislav Seselj"	0.102493
"Roosevelt Johnson"	0.102479
"Kim Yong Nam"	0.102195
"Aslan Maskhadov"	0.101949
"David Trimble"	0.101908
"Ariel Sharon"	0.100958
"Lokendra Bahadur Chand"	0.100675
"Aung San Suu Kyi"	0.099664
Wamba	0.0990799
"Gulbuddin Hekmatyar"	0.0987897
"Chavalit Yongchaiyudh"	0.0987258
"Khaleda Zia"	0.0984943
"Trent Lott"	0.0982575
"George Speight"	0.0982572
"Grigory Yavlinsky"	0.0979511
"Necmettin Erbakan"	0.0977496
"Mikhail Gorbachev"	0.0976669
"Alexander Shokhin"	0.096821
"H.D Deve Gowda"	0.0961611
"Jean-Marie Le Pen"	0.0958385
"Alija Izetbegovic"	0.0956781
"Martin Lee"	0.0944427
"Jonas Savimbi"	0.0941185
"Kim Jong Il"	0.0940022
"Bashkim Fino"	0.0936651
"Abdulsalam Abubakar"	0.0931771
"Ali Mahdi Mohamed"	0.0927839
"King Abdullah II"	0.0922269
"Pervez Musharraf"	0.0914409
D-S.D.	0.0908937
"Sam Rainsy"	0.0896852
"Le Kha Phieu"	0.0893146
"Megawati Sukarnoputri"	0.0892324
mufti	0.0891952
"Martin McGuinness"	0.0891095
"George Mitchell"	0.0889073
Ghalib	0.0883159
R-Miss.	0.0881715
"Howard Baker"	0.087811
"Abdullah Ocalan"	0.0877971
"Ian Paisley"	0.0869278
"Rashid Dostum"	0.0865006
Nateq-Nouri	0.0862817
"Joerg Haider"	0.0859414
"Milos Zeman"	0.0858467
"Yasser Arafat"	0.0853443
"Franjo Tudjman"	0.0849879
"Shamil Basayev"	0.0846484
"Seamus Mallon"	0.0846175
"John Taylor"	0.08422
"David Koresh"	0.0841018
"Pol Pot"	0.0839474
"Mesut Yilmaz"	0.0830379
"Don Nickles"	0.0816533
"Silvio Berlusconi"	0.0810981
"Atal Behari Vajpayee"	0.0808471
"Joschka Fischer"	0.0806751
"Tansu Ciller"	0.0806266
"Begum Khaleda Zia"	0.0802926
"Ratko Mladic"	0.0798791
"Deve Gowda"	0.0796671
"Benazir Bhutto"	0.0795413
"Khieu Samphan"	0.0791104
"Hussein Mohamed Aidid"	0.0790416
"Nur Misuari"	0.0787502
"John Prescott"	0.0786492
"Chief Executive Tung Chee-hwa"	0.0781611
Wahid	0.0777011
Buthelezi	0.077626
"Charles Taylor"	0.0773153
"Louis Farrakhan"	0.0767687
"Vojislav Kostunica"	0.0767417
"Secretary General Esmat Abdul-Meguid"	0.0761821
"Viktor Orban"	0.0760519
"Chuan Leekpai"	0.0759899
"Yukio Hatoyama"	0.0758612
"Jenny Shipley"	0.0757008
"Wolfgang Schuessel"	0.0748986
Mallon	0.0747127
"Vladimir Yakovlev"	0.0741789
Denktash	0.0739786
"Fatos Nano"	0.0737578
"Hugo Chavez"	0.0729519
"Richie Phillips"	0.0728822
"House Majority Whip Tom DeLay"	0.0727286
Imam	0.0718692
"Ivan Kostov"	0.0718422
Izetbegovic	0.0717024
"Fidel Castro"	0.0712396
Dae-jung	0.0707946
"Atal Bihari Vajpayee"	0.0707806
"Jose Ramos-Horta"	0.0703442
Meguid	0.0696888
"Thabo Mbeki"	0.0695227
"De Klerk"	0.0694672
"John Howard"	0.0693732
"Ho Chi Minh"	0.0689875
Khatami	0.068692
"Than Shwe"	0.0683554
"Chea Sim"	0.0681503
"Li Hongzhi"	0.0680299
"Tin Oo"	0.0677512
"Deng Xiaoping"	0.0676161
Kaunda	0.0675348
"Lech Walesa"	0.067531
"Natan Sharansky"	0.0671299
"Wang Dan"	0.0669188
"Laurent Kabila"	0.0668255
"Yitzhak Mordechai"	0.0667923
"Binyamin Netanyahu"	0.0665948
Ecevit	0.0665642
"Sheldon Silver"	0.0665208
"Bulent Ecevit"	0.0664052
"Robert Guei"	0.0663797
"Secretary General Boutros Boutros-Ghali"	0.0663213
"Nikola Poplasen"	0.0663199
"Gro Harlem Brundtland"	0.0653486
Obeid	0.0651105
"Shimon Peres"	0.0649413
"Carl Bildt"	0.0644044
"Ricardo Alarcon"	0.0640975
"Hussein Aidid"	0.0638963
Savimbi	0.0636495
"Hafez Assad"	0.0636476
"Manuel Noriega"	0.0636476
Erbakan	0.0630422
"Meles Zenawi"	0.0628534
Kharrazi	0.0624891
Trimble	0.0624276
"Moshood Abiola"	0.0619293
"Vladimir Meciar"	0.061872
"Pasteur Bizimungu"	0.0616608
"Pierre Buyoya"	0.0614107
"Augusto Pinochet"	0.0607495
"Mao Zedong"	0.0607111
"Jim Jones"	0.0601231
R-Texas	0.0599907
Gephardt	0.05976
"Tom DeLay"	0.059594
"Omar Torrijos"	0.0595724
Meles	0.0595585
Abdel-Meguid	0.0593823
Nazarbayev	0.0590291
"Sani Abacha"	0.0589854
"prize winner"	0.0587361
Megawati	0.0584548
"Slobodan Milosevic"	0.0582773
"Azem Hajdari"	0.0581476
Chavalit	0.0579234
Nouri	0.0578697
"Jose Maria Aznar"	0.0577227
Garang	0.0576736
"John Major"	0.0576576
"Ali Mahdi"	0.0575342
"Faisal Husseini"	0.0574544
Koroma	0.0569596
Archbishop	0.0567834
"Li Peng"	0.0564983
))
("Ayatollah Khomeini" (desc 1479.67) (sims
"Ayatollah Ruhollah Khomeini"	0.156897
Khomeini	0.114052
Dudayev	0.104754
"Andreas Papandreou"	0.10468
"Lawton Chiles"	0.103746
"Mao Tse-tung"	0.10136
"Michael Kennedy"	0.100884
"Kim Il Sung"	0.100113
"King Hassan"	0.0984398
"Pol Pot"	0.0965614
Ayatollah	0.0952031
Rabin	0.0950902
"Jordanian King Hussein"	0.0920535
"Yitzhak Rabin"	0.0918253
"King Hassan II"	0.0890981
"Ho Chi Minh"	0.0840687
"Hafez Assad"	0.0838521
"Mother Teresa"	0.0810732
"Sani Abacha"	0.0801779
"David Koresh"	0.0781742
"Leon Hess"	0.078101
"Mohamed Siad Barre"	0.0761772
"Azem Hajdari"	0.0760591
Mao	0.0743004
"Francisco Franco"	0.0742086
"Florence Griffith Joyner"	0.0734311
Tudjman	0.0728949
"Ted Hughes"	0.0718462
Abacha	0.0711195
"Vincent Foster"	0.0706447
Zhivkov	0.0701665
"James Byrd"	0.0688748
"Princess Diana"	0.0683794
Garrity	0.0682927
"Josef Stalin"	0.0682711
"Moshood Abiola"	0.0681771
"Walter Zenga"	0.0681651
"Cardinal John O'Connor"	0.0681227
Ceausescu	0.0680662
Webdale	0.0668257
"Xanana Gusmao"	0.0665943
"Leonard Bernstein"	0.0665107
"Reggie Lewis"	0.0663995
Nkabinde	0.0660242
"Unknown Soldier"	0.0653102
"Yossi Sarid"	0.065246
"Julius Nyerere"	0.0647668
"Fidel Castro"	0.0642904
Mitterrand	0.0642834
Biko	0.06412
"De Klerk"	0.0639841
"Aryeh Deri"	0.0639648
"Jerry Garcia"	0.0633417
"Simon Bolivar"	0.062988
Alydar	0.0629091
Ghalib	0.0622256
"President Hafez Al-Assad"	0.0620404
Weill	0.0619158
"Ansumane Mane"	0.0612091
"John Kennedy Jr."	0.0608391
"William Hague"	0.0606907
"George Wallace"	0.0603258
Durwood	0.0602976
"David Duke"	0.0595745
"Moammar Gadhafi"	0.0595257
"Adolf Hitler"	0.0591368
Soares	0.058083
"Ron Brown"	0.0580206
"Paul Coverdell"	0.0579557
"Joseph Bruno"	0.0579357
Panchen	0.0575435
"Jim Jones"	0.0571079
"Zhou Enlai"	0.0568441
"Matthew Eappen"	0.0563173
"Sheikh Ahmed Yassin"	0.0562113
Starovoitova	0.0562045
Yandarbiyev	0.0560302
Gathers	0.0559856
"Kim Perrot"	0.0551065
"Robert Kennedy"	0.0550756
"Ferdinand Marcos"	0.0548365
"Omar Torrijos"	0.0545002
Stalin	0.0543153
"Kim Yong Nam"	0.0542896
"Tupac Shakur"	0.0539511
"Barry Goldwater"	0.0538796
Ileto	0.0538633
"Ayatollah Ali Khamenei"	0.0536335
Selena	0.0535565
"Andrew Jackson"	0.053415
"George Speight"	0.0532575
"Helen Clark"	0.053172
Bratton	0.0527818
"Krishna Prasad Bhattarai"	0.0526519
Plunkett	0.0523985
"Lokendra Bahadur Chand"	0.0523033
"Martin Luther King Jr."	0.0521287
"Western Han Dynasty"	0.0521155
Blackmun	0.0518785
"Mao Zedong"	0.0515121
"John F. Kennedy"	0.0511637
"Osman Ali Atto"	0.051125
"Kenny Irwin"	0.0510027
Binion	0.0507496
Takeshita	0.0505486
"Alexander Shokhin"	0.0505144
"CHARLES SCHULZ"	0.0504705
"Amien Rais"	0.0504627
"HOWARD COSELL"	0.0504372
"Walter Payton"	0.0500936
"Betty Friedan"	0.0500364
Papandreou	0.049852
Tito	0.0497895
Ataturk	0.0496821
"Matthew Shepard"	0.0496284
"Vladimir Zhirinovsky"	0.0495291
"Sher Bahadur Deuba"	0.0494856
"Robert Shaw"	0.0493505
Siskel	0.0492738
Rodrigo	0.0492659
"Khieu Samphan"	0.0491638
JonBenet	0.0491251
"Le Kha Phieu"	0.0491056
"Viktor Orban"	0.0489722
Presley	0.0489505
"Greek Cypriot"	0.048836
Escobar	0.0483651
Sadat	0.0483302
"Wang Dan"	0.0482339
Lawler	0.0482161
Gerardi	0.0481911
"Nur Misuari"	0.0481013
"Adam Petty"	0.0479145
"Bobby Phills"	0.0479126
Castaneda	0.0478151
"Alexander the Great"	0.0476862
Youk	0.0476502
"James Byrd Jr."	0.0474767
Norberg	0.0472065
Hassan	0.0469589
Sukarno	0.0465362
Faison	0.0464936
BSO	0.046479
"Genghis Khan"	0.0463327
Dahmer	0.0461246
Nyerere	0.0460785
"Comrade Deng Xiaoping"	0.0458908
Kuhn	0.0457688
Rushdie	0.0456307
Baez	0.0455041
Shurmur	0.0454747
Denktash	0.045368
"Ian Paisley"	0.0452855
"Griffith Joyner"	0.0452256
"Sonny Bono"	0.0451715
"Milos Zeman"	0.0449751
"J. Edgar Hoover"	0.044904
"Megawati Soekarnoputri"	0.044809
Crockett	0.0448078
Byrdsong	0.0447916
Coverdell	0.0447849
"Pauline Hanson"	0.0444848
Cobain	0.0444154
"Patrick Dorismond"	0.0442335
"Hashim Thaci"	0.0442289
"Faisal Husseini"	0.0440905
"Richard Gephardt"	0.0440898
"Lee Atwater"	0.0440484
Lamont	0.0437735
"Jesus Christ"	0.0436997
"Bob Marley"	0.0436942
Aidid	0.0436022
Perrot	0.0435263
"Wolfgang Schaeuble"	0.0433958
"Wole Soyinka"	0.0433211
"Mobutu Sese Seko"	0.0431507
"Dick Gephardt"	0.0431064
Custer	0.0430199
"Howard Baker"	0.0428871
"Brian Watts"	0.0428833
Gielgud	0.0428766
"Robert F. Kennedy"	0.042835
Tsvangirai	0.0427958
Nkomo	0.0427819
Rubinstein	0.0427066
"Gennady Zyuganov"	0.0425328
Timmy	0.0424654
Moxley	0.0424478
Ailey	0.0423746
Tilberis	0.0423464
"Roy Rogers"	0.0421218
"Dr. Sun Yat-Sen"	0.0421172
Haq	0.0420688
"Khaleda Zia"	0.0420062
"Louis Farrakhan"	0.0419055
Eameses	0.0418399
"Vojislav Seselj"	0.0417461
Fabius	0.0415953
Shao	0.0415708
Sogo	0.0414552
))
("Ayatollah Ruhollah Khomeini" (desc 2901.45) (sims
"Ayatollah Ali Khamenei"	0.240418
Khomeini	0.228582
"Sheikh Ahmed Yassin"	0.173551
"Ayatollah Khomeini"	0.156897
"William Hague"	0.134241
"Kim Il Sung"	0.134102
"Roosevelt Johnson"	0.129786
"Ho Chi Minh"	0.127931
"Megawati Soekarnoputri"	0.120041
"Dr. Sun Yat-Sen"	0.116208
"Helen Clark"	0.116096
"George Speight"	0.114871
Chand	0.114443
"Xanana Gusmao"	0.111405
Sheik	0.110529
"Jean-Marie Le Pen"	0.103632
"Khaleda Zia"	0.103388
"David Koresh"	0.103321
Ghalib	0.102974
"Tomiichi Murayama"	0.102847
"Aryeh Deri"	0.102788
"Dalai Lama"	0.101549
"Sali Berisha"	0.101272
"Abdurrahman Wahid"	0.101226
"Aung San Suu Kyi"	0.0991918
"Joseph Bruno"	0.0990766
"Jim Jones"	0.099048
Kai-shek	0.0990187
"Jonas Savimbi"	0.0985666
"Chavalit Yongchaiyudh"	0.0981416
Ayatollah	0.0967649
"Megawati Sukarnoputri"	0.09609
"Foday Sankoh"	0.0957119
"Johnny Paul Koroma"	0.0956406
"Lokendra Bahadur Chand"	0.0954649
"Vuk Draskovic"	0.094951
"Yossi Sarid"	0.0938204
"Hussein Mohamed Aidid"	0.0926988
"Martin Luther"	0.0918919
"Cardinal John O'Connor"	0.0916843
"Mikulas Dzurinda"	0.0907902
"Amien Rais"	0.0900755
"Wolfgang Schaeuble"	0.0898291
"David Duke"	0.089653
Khamenei	0.0895755
"Andreas Papandreou"	0.0879375
"Vladimir Zhirinovsky"	0.0876728
"Pol Pot"	0.087667
"Yitzhak Rabin"	0.0873442
"Radovan Karadzic"	0.087128
"Aslan Maskhadov"	0.0867724
"Ariel Sharon"	0.0866915
"Moshood Abiola"	0.0864908
"Sani Abacha"	0.0863562
"Ferdinand Marcos"	0.0860494
"Rashid Dostum"	0.0858831
"Mohammad Khatami"	0.0842147
"Moammar Gadhafi"	0.0839357
"Franjo Tudjman"	0.0838046
"Kim Yong Nam"	0.0832472
Obeid	0.0829573
Wamba	0.08271
mufti	0.0826729
Mullah	0.0826411
"Mao Zedong"	0.0823447
"Simon Bolivar"	0.082059
"Ali Mahdi Mohamed"	0.0818469
Sakyamuni	0.0815737
"Hashim Thaci"	0.0799658
Aristide	0.0795317
"Gennady Zyuganov"	0.0795251
"Sonia Gandhi"	0.0792615
"Deng Xiaoping"	0.0792431
"Helmut Kohl"	0.079151
"Tom Daschle"	0.0789948
"Dick Armey"	0.0787803
"Hafez Assad"	0.0777027
"Joerg Haider"	0.0774575
"Li Hongzhi"	0.0773876
"Menachem Begin"	0.0773646
Dudayev	0.0772708
"Ian Paisley"	0.0768639
Greenwald	0.0765721
"Genghis Khan"	0.0765316
"Sher Bahadur Deuba"	0.0765035
"Iranian Foreign Ministry"	0.0763813
"Benazir Bhutto"	0.0763429
"Mahatma Gandhi"	0.07582
"John Major"	0.075512
"Alija Izetbegovic"	0.0754413
"Ibrahim Rugova"	0.0752076
"Zoran Djindjic"	0.075056
"Charles Taylor"	0.0750345
"Lawton Chiles"	0.0740948
"Ieng Sary"	0.073775
"Necmettin Erbakan"	0.0732918
"Alexander Shokhin"	0.0730307
"Martin Lee"	0.0724056
"Atal Behari Vajpayee"	0.0721291
"Tansu Ciller"	0.0721204
"Le Pen"	0.0719828
"Fatos Nano"	0.0717555
Yat-sen	0.0717283
"Margaret Thatcher"	0.0716901
"Gulbuddin Hekmatyar"	0.0716761
"Richard Gephardt"	0.0712823
"Richie Phillips"	0.0709229
"David Trimble"	0.0708464
"Sam Rainsy"	0.0708369
"Natan Sharansky"	0.0704172
Ataturk	0.0702173
"Mesut Yilmaz"	0.0700454
"Hussein Aidid"	0.0699742
Buthelezi	0.0696092
Havelange	0.069572
Kaunda	0.0693996
"political boss"	0.0693736
"International Badminton Federation"	0.0693292
"Massimo D'Alema"	0.0692287
"Gerry Adams"	0.0687843
"Ali Mahdi"	0.0687813
"Trent Lott"	0.0685229
"Shamil Basayev"	0.0684672
Murayama	0.0683621
"Revolutionary Guards"	0.0682859
"Grigory Yavlinsky"	0.0682759
Yassin	0.0682647
Aidid	0.0682381
"Bizima Karaha"	0.0678767
"Vladimir Meciar"	0.0677122
"Kenyan Government"	0.0676734
"Viktor Orban"	0.0676164
"Pat Robertson"	0.0675175
"Paul Coverdell"	0.067272
Tito	0.0670373
"Vojislav Seselj"	0.0669725
Aliev	0.0667284
"De Klerk"	0.0663106
"Ron Brown"	0.0662967
Chavalit	0.0662326
Jayalalitha	0.0660319
Erbakan	0.0656781
Bolger	0.0656584
"Alejandro Toledo"	0.0656447
"Dick Gephardt"	0.0654014
"Francis of Assisi"	0.0652655
"Romano Prodi"	0.0652153
"Laurent Kabila"	0.0651482
Koirala	0.0648469
"Silvio Berlusconi"	0.064823
"Islamic Revolutionary Guards Corps"	0.0647354
"Vojislav Kostunica"	0.0646303
Sharansky	0.0645706
Denktash	0.0644753
"Mikhail Gorbachev"	0.0643013
"Pierre Buyoya"	0.0642013
Ruthardt	0.0641751
"Turkish Foreign Ministry"	0.0640709
"Fidel Castro"	0.0639565
Confucius	0.06385
"Michel Camdessus"	0.0638316
Gerardi	0.0634748
Marcos	0.0633947
"Mother Teresa"	0.0633461
Fatah	0.0632804
"John Taylor"	0.0632567
Zajedno	0.0632311
chun	0.0629354
Mao	0.0627341
"Begum Khaleda Zia"	0.0627033
Wahid	0.0626907
"Don Nickles"	0.0626842
"Ministry of Trade and Industry"	0.0624446
"Lech Walesa"	0.0623899
"Al Fayed"	0.0623603
"President Lee Teng-hui"	0.0620296
"Milos Zeman"	0.0620143
"Shimon Peres"	0.0619292
"Abdollah Nouri"	0.0619184
Lenin	0.0618312
"Nur Misuari"	0.0617685
"Jerry Falwell"	0.061679
Yosef	0.0614342
"Kim Jong Il"	0.0613381
"National Gambling Impact Study Commission"	0.0612028
"Augusto Pinochet"	0.0611619
"Ansumane Mane"	0.0610758
"John Prescott"	0.0610591
"George Mitchell"	0.060995
emir	0.0607151
Savimbi	0.0606877
"Islamic Revolution Guards Corps"	0.0606215
"Howard Baker"	0.0604253
Bedie	0.060398
"King Hussein"	0.0603782
Soares	0.0603565
Gachet	0.0602145
"John Hume"	0.0601991
"Abdullah Ocalan"	0.0601829
"Francisco Franco"	0.0599712
))
(AZ (desc 1714.76) (sims
Ariz.	0.228747
"Sandy Springs"	0.0854365
MD	0.0796045
Ipswich	0.0749148
IL	0.073048
TX	0.0700132
wa	0.0695978
FL	0.0692376
NY	0.0585499
"polling booth"	0.0580707
CT	0.0538138
outpatient	0.0527782
"Iraqi POWs"	0.0501122
registrant	0.0498389
"funeral home"	0.0494278
va	0.0487796
"bomb site"	0.0486295
Lexis-Nexis	0.048547
mammography	0.0483661
STD	0.0483508
metical	0.0468454
"employment agency"	0.0463536
bullion	0.0462885
Kinko	0.0457235
triage	0.0451943
"NZ First"	0.0450608
GA	0.0450576
Norwich	0.0449837
MCA	0.0448089
"Overland Park"	0.044764
"Iranian POWs"	0.0444103
Md.	0.0443651
"Radio City"	0.0443626
"drug business"	0.0441356
Dana-Farber	0.0437436
methadone	0.0432164
"petrol station"	0.0429406
Propulsid	0.0425727
USD	0.0425013
"Logan International Airport"	0.0424474
"dock worker"	0.0421053
Lufkin	0.041899
kilometre	0.0418039
"polling place"	0.041462
enlistee	0.0414515
weight-loss	0.0413651
"Hartsfield International Airport"	0.0408219
VMs	0.0402892
))
(Azad (desc 712.399) (sims
"de Charette"	0.335946
Stoyanov	0.326662
Komura	0.30979
Guterres	0.307029
Rifkind	0.302044
Ikeda	0.301879
Velayati	0.297937
Kasoulides	0.297185
Sumaye	0.286488
Ruehe	0.28004
Jayakumar	0.264231
Ikimi	0.263012
Constantinescu	0.25824
Phieu	0.256589
Meguid	0.255049
Ogata	0.254421
Luong	0.250754
Pustovoitenko	0.249604
Pangalos	0.249537
Moratinos	0.247098
Granic	0.246165
Shareh	0.244685
Cem	0.243811
Axworthy	0.243391
Klima	0.242452
Nzo	0.238863
Leghari	0.23601
Karimov	0.235395
Niyazov	0.234723
Scalfaro	0.234113
Kostov	0.22967
Holl	0.226666
Alatas	0.226189
Kharrazi	0.224952
Wolfensohn	0.224179
Chissano	0.224058
Mkapa	0.22335
Akayev	0.222841
Vollebaek	0.221644
Surin	0.219689
Brahimi	0.219056
Narayanan	0.218597
Hamad	0.218354
Zou	0.216677
Rakhmonov	0.212963
Abdel-Meguid	0.211004
Kyprianou	0.210304
Grachev	0.209087
Muluzi	0.208655
Kwasniewski	0.208595
Rodionov	0.207153
Lipponen	0.20633
Nujoma	0.202805
Shevardnadze	0.200919
Prueher	0.200798
Zuma	0.199574
Bruton	0.199142
Rau	0.198625
Deuba	0.197329
Xanana	0.196622
Dini	0.195927
Brundtland	0.19592
Iliescu	0.195486
Rong	0.195402
Majali	0.195288
Gujral	0.195178
Khaddam	0.194833
Singson	0.1929
Orban	0.191463
Ben-Ami	0.190858
Boueiz	0.190662
Hasina	0.190662
Shaath	0.189203
Luo	0.188961
Diouf	0.188178
Bellamy	0.187791
Siazon	0.187436
Ganzouri	0.186964
Sampaio	0.186788
Brittan	0.186578
Sahnoun	0.186555
Khai	0.186069
Tarrin	0.185817
"De Soto"	0.184678
Bolger	0.184379
Ciampi	0.183495
Vedrine	0.183335
Kono	0.183323
Fino	0.182046
Iglesias	0.18087
Nazarbayev	0.180709
Saleh	0.180678
Sergeyev	0.180021
Pickering	0.179817
Leung	0.17948
Ruggiero	0.178591
Frei	0.178554
Aventajado	0.178525
Kromah	0.178117
Menem	0.178059
Kok	0.177975
Klestil	0.177786
"Maung Aye"	0.177531
Bondevik	0.177359
Jovanovic	0.177279
Zeroual	0.177165
Insulza	0.177071
Fernandes	0.176199
Bizimungu	0.175023
"Prime Minister Banharn Silpa-Archa"	0.174973
"Than Shwe"	0.173648
Modise	0.173556
Schuessel	0.173385
Goh	0.172839
Gowda	0.172355
Camdessus	0.172311
Tian	0.171624
Muoi	0.171139
Malu	0.170589
Alarcon	0.169722
Gaddafi	0.169688
Meles	0.1696
Berri	0.169279
Tsang	0.169268
Qiao	0.16873
Santer	0.167777
Hu	0.167575
Advani	0.167542
Juma	0.166702
Vasile	0.166514
Chavalit	0.166456
Demirel	0.166428
al-Sahhaf	0.165685
Kabariti	0.165541
Zhirinovsky	0.165171
Kumaratunga	0.162954
Hrawi	0.162954
Juncker	0.162703
"Secretary General Esmat Abdul-Meguid"	0.162193
Yastrzhembsky	0.161785
Shamshad	0.161282
Banharn	0.160897
Tarawneh	0.160509
Aliyev	0.159298
Ivanov	0.159045
Majko	0.158952
Simitis	0.158861
Zeng	0.15862
Downer	0.158612
"Boutros Boutros Ghali"	0.158229
Koirala	0.157707
Ingraham	0.157561
Clerides	0.156836
Qian	0.156492
Nemtsov	0.155976
Nateq-Nouri	0.155527
Buhe	0.155125
Herzog	0.154324
Aznar	0.154284
Shara	0.152796
Kato	0.152777
Koo	0.15245
Kinkel	0.152095
Waigel	0.151596
Kavan	0.1511
al-Sahaf	0.151078
Solana	0.150885
Shi	0.150203
Ahtisaari	0.150084
LeBlanc	0.149871
Talbott	0.149729
Aziz	0.149362
Moussa	0.149118
Hariri	0.148749
Erbakan	0.148582
"Prime Minister Kamal El-Ganzouri"	0.147004
millon	0.146404
Shipley	0.146144
Soares	0.145754
"Atef Obeid"	0.145525
Abbas	0.144852
"Sher Bahadur Deuba"	0.144176
Piot	0.143931
Indyk	0.143697
"Lee Hsien Loong"	0.143672
Kuchma	0.143497
Jia	0.143202
Baz	0.143098
Rasmussen	0.142607
el-Ganzouri	0.142545
Arens	0.142463
Sharaa	0.14235
Museveni	0.142079
Salim	0.141738
Ahern	0.141542
"Chief Executive Tung Chee-hwa"	0.141498
Cavanaugh	0.14106
Scharping	0.140943
Seleznyov	0.140664
Masire	0.140526
Papandreou	0.140222
"Pope John Paul"	0.140158
Xiong	0.140135
Dehaene	0.140033
"King Sihanouk"	0.139748
Bashir	0.13939
Lari	0.139093
al-Khatib	0.138971
Chretien	0.138896
Markovic	0.138644
Husseini	0.138244
"Bill Skate"	0.138073
Gurirab	0.137936
Patasse	0.137353
Rais	0.136667
Tung	0.13552
Chiluba	0.135465
McKinnon	0.13498
Rawabdeh	0.134052
Stroyev	0.133688
Nasrallah	0.132951
Boutros-Ghali	0.132856
"William Perry"	0.132597
Wei	0.131935
Bildt	0.131475
Dodik	0.1313
"Dos Santos"	0.130719
Milo	0.130671
Koehler	0.130621
Chuan	0.130564
Barzani	0.130549
Sha	0.130365
Portillo	0.130043
Abubakar	0.129603
"Abidine Ben Ali"	0.129578
Larsen	0.129137
Benazir	0.12892
Garang	0.128885
Bouteflika	0.128774
Kagame	0.128631
wen	0.128532
Reimer	0.128061
Juppe	0.127805
Izetbegovic	0.127766
Sihanouk	0.12719
"Secretary General Boutros Boutros-Ghali"	0.126673
Buzek	0.126572
Manley	0.126544
"Girija Prasad Koirala"	0.126519
Ecevit	0.126399
"Jordanian King Abdullah Bin Hussein"	0.125705
Jospin	0.125536
Dar	0.125426
al-Bashir	0.125087
Byers	0.124975
"Emperor Akihito"	0.12464
Yazdi	0.124338
Tella	0.124029
Yadav	0.124019
Severino	0.123902
al-Sharaa	0.123792
Malan	0.123643
Chirac	0.123583
Beazley	0.123559
"Xie Zhenhua"	0.123493
Ghali	0.123376
Persson	0.122853
Cao	0.122724
"Li Ruihuan"	0.122607
Obeid	0.122603
Rahman	0.12229
"John Paul"	0.122186
Cui	0.122006
Vajpayee	0.121499
Fu	0.121388
"Vo Van Kiet"	0.12131
"Goran Persson"	0.121304
Xiang	0.12124
"Chavalit Yongchaiyudh"	0.121126
Hybl	0.120711
Lahoud	0.120611
Gosper	0.120575
Daley	0.120132
Hamid	0.12004
"Pascoal Mocumbi"	0.120007
Gadhafi	0.119884
Beilin	0.119724
Mubarak	0.119555
Samper	0.119274
"Meles Zenawi"	0.118759
"Secretary General Esmat Abdel-Meguid"	0.118676
"Amos Wako"	0.118465
Zhu	0.118442
Banzer	0.117926
Mbeki	0.117814
"Khin Nyunt"	0.117627
Rafsanjani	0.117501
Fischer	0.117447
Rabbani	0.117018
Wenger	0.11628
Vance	0.115818
Murayama	0.115747
Rashid	0.115746
"Li Peng"	0.115274
"Necmettin Erbakan"	0.114876
Buyoya	0.114801
Weizman	0.114722
Mowlam	0.114513
Strauss-Kahn	0.114502
Mori	0.114473
Sanguinetti	0.114392
Lukashenko	0.114317
Merkel	0.114204
"Robert Aventajado"	0.114146
Prodi	0.114075
Eizenstat	0.113982
Wilhelm	0.113807
"Abdul Karim Kabariti"	0.113697
Ekeus	0.113686
Hashimoto	0.113578
"President Lee Teng-hui"	0.113044
"Helen Clark"	0.112816
al-Khalifa	0.11266
Mordechai	0.112267
Yassin	0.112231
Levitt	0.112203
Chung	0.112136
Soyinka	0.111979
Hoss	0.111964
"Inder Kumar Gujral"	0.111908
Eran	0.111857
Nasrin	0.111805
Demaci	0.111582
"Secretary-General Boutros Boutros-Ghali"	0.111485
Wahid	0.111481
"Sheikh Hasina"	0.111328
Wu	0.110941
Harmoko	0.110852
Aleman	0.110565
"Frederick Sumaye"	0.11036
Blatter	0.110314
Peng	0.110179
"Tariq Aziz"	0.110119
Sakakibara	0.109934
Ismail	0.109761
Satcher	0.109657
Kan	0.109592
"Chuan Leekpai"	0.109193
Barshefsky	0.108902
"William S. Cohen"	0.108658
Chi	0.108593
Goff	0.108407
Erekat	0.108341
Al-Faisal	0.108173
Abdullah	0.108168
Kissinger	0.107958
Lau	0.107681
al-Hariri	0.107622
Zedillo	0.107515
"Rafik Hariri"	0.107494
"Lawrence Summers"	0.107466
Ciller	0.107324
Christopher	0.107272
Wolfson	0.107232
"Deve Gowda"	0.10685
"Speaker Ali Akbar Nateq-Nouri"	0.106771
Bhattarai	0.10665
Stepashin	0.106418
Bedie	0.106358
"Defense William Cohen"	0.106251
"Ung Huot"	0.106213
Thapa	0.105733
"Faisal Husseini"	0.105463
"Wim Kok"	0.105231
Hanley	0.104683
Koskinen	0.104423
Carrera	0.103766
"Paavo Lipponen"	0.103766
Bulatovic	0.103692
WAM	0.103669
Kessler	0.10361
Mahdi	0.103466
CIRC	0.103431
"Salim Ahmed Salim"	0.103205
"Romano Prodi"	0.103133
Mustafa	0.102941
Rawlings	0.102314
Azizah	0.102133
Supachai	0.102092
Sheng	0.101824
Bustamante	0.101335
Grasso	0.101232
Hassan	0.101127
Sheehan	0.101074
Jong	0.101032
Sharansky	0.100879
"Lee Kuan Yew"	0.100726
"Tung Chee Hwa"	0.100566
"Wlodzimierz Cimoszewicz"	0.100506
"Goh Chok Tong"	0.100455
tang	0.100273
Prescott	0.10023
"Victor Malu"	0.100219
Blazevic	0.10009
))
(azalea (desc 6742.35) (sims
camellia	0.209999
hydrangea	0.194857
Wisteria	0.192084
dogwood	0.19172
tulip	0.187648
lilac	0.182193
rhododendron	0.172968
pansy	0.169175
Viburnum	0.161331
peony	0.156523
daffodil	0.147074
honeysuckle	0.142739
orchid	0.139962
boxwood	0.139581
oleander	0.134207
bougainvillea	0.130222
hibiscus	0.12834
Magnolia	0.121878
geranium	0.120277
shrub	0.117994
carnation	0.117135
wildflower	0.112407
cactus	0.110288
Conifer	0.110001
hyacinth	0.108299
gardenia	0.107462
perennial	0.105723
lily	0.104757
chrysanthemum	0.101675
cypress	0.100064
Iris	0.0988316
amaryllis	0.0985939
clematis	0.0943245
sumac	0.0915165
poplar	0.0903401
Birch	0.090077
pine	0.0900352
poinsettia	0.08977
beech	0.0896732
evergreen	0.0892623
fern	0.0874822
Oak	0.0870169
Lotus	0.0853947
vine	0.0846509
petunia	0.084468
Maple	0.083552
blossom	0.0833236
flower	0.0829515
snapdragon	0.0827261
sunflower	0.0824793
"day lily"	0.0813169
spruce	0.0798004
violet	0.0795104
dahlia	0.0772775
Hemlock	0.0767332
willow	0.0764896
Mulberry	0.076398
poppy	0.0756324
canna	0.0745095
marigold	0.0731846
"morning glory"	0.0730504
zinnia	0.0721672
cedar	0.0718889
Sycamore	0.0707053
bamboo	0.0706092
lavender	0.0702452
blackberry	0.0684707
Daisy	0.0681718
bulb	0.067683
fuchsia	0.066974
jasmine	0.0667776
hardwood	0.0665496
plum	0.0664129
ragweed	0.0660085
holly	0.0657706
ivy	0.0652008
herb	0.0627403
hedge	0.0626824
sapling	0.0622961
"flower garden"	0.0617416
sedum	0.0615971
foliage	0.0613277
cacti	0.0606528
laurel	0.0605336
hosta	0.0596908
Mesquite	0.0590967
Yew	0.0590867
crocus	0.0590633
Cherry	0.0588444
blueberry	0.058839
eucalyptus	0.058581
sagebrush	0.0584633
ginkgo	0.0583909
bauhinia	0.0582522
peach	0.057539
"ground cover"	0.0571597
fir	0.0557768
Lantana	0.0556426
Juniper	0.0544947
topiary	0.0536095
succulent	0.0535124
grapevine	0.05335
"black-eyed Susan"	0.0532622
hickory	0.0531703
shrubbery	0.0529619
seedling	0.0528533
"sweet pea"	0.0526227
pear	0.0520506
"douglas fir"	0.0520471
apricot	0.0511152
Yucca	0.0508961
Bud	0.0504248
impatiens	0.0500887
agave	0.0488916
"Boogie Nights"	0.0485428
"live oak"	0.0482591
"Easter egg"	0.0481406
grape	0.0478197
algae	0.0474641
"white pine"	0.0474387
citrus	0.0473162
Quince	0.0471161
bloomers	0.0470588
bluebird	0.0468815
flamingo	0.0467986
weed	0.0461432
fig	0.0456791
plankton	0.0456175
"vegetable garden"	0.0453203
vegetation	0.0450479
"flowering plant"	0.0448948
molar	0.044702
melon	0.0444364
"brook trout"	0.0443114
coca	0.044308
"opium poppy"	0.0440659
"flower arrangement"	0.0439034
grapefruit	0.0438631
heirloom	0.0437769
weeds	0.0435467
ginseng	0.0435404
arbor	0.0433661
underbrush	0.043107
"tropical rain forest"	0.0428383
Elm	0.0427726
waterlily	0.0425322
coral	0.0423589
pomegranate	0.042298
mahogany	0.0421533
orchard	0.0421004
sugarcane	0.0419233
menorah	0.0411317
"picket fence"	0.0410948
origami	0.0410063
verbena	0.0408872
berry	0.0405829
chamomile	0.0403202
Milkweed	0.0402358
hemp	0.0401575
"Ideal Husband"	0.0400963
))
("Azem Hajdari" (desc 2801.63) (sims
"Galina Starovoitova"	0.397627
Hajdari	0.192188
"Vladimir Zhirinovsky"	0.171479
"Yossi Sarid"	0.164509
"Martin Lee"	0.161046
"Grigory Yavlinsky"	0.159413
"Seamus Mallon"	0.157043
"Yossi Beilin"	0.143467
"Haim Ramon"	0.141637
Starovoitova	0.14151
"Robert F. Kennedy"	0.129205
"Rajiv Gandhi"	0.12756
"Pauline Hanson"	0.127463
"Ahmed Tibi"	0.125118
"Megawati Sukarnoputri"	0.123491
"Yukio Hatoyama"	0.123388
"Sam Rainsy"	0.121978
"Vuk Draskovic"	0.12093
"Yitzhak Rabin"	0.117179
"Amien Rais"	0.10957
"John Hume"	0.109051
"Aryeh Deri"	0.107775
"Vojislav Seselj"	0.107252
"Megawati Soekarnoputri"	0.106944
"Saeed Hajjarian"	0.10648
"Ibrahim Rugova"	0.103002
"Boris Nemtsov"	0.102704
"Martin McGuinness"	0.102073
"Barnett Slepian"	0.10204
"Ieng Sary"	0.0999194
"Wolfgang Schaeuble"	0.0989341
"Joerg Haider"	0.0972919
"Ian Paisley"	0.096507
"Fehmi Agani"	0.0964526
"Alexander Shokhin"	0.0963063
"Medgar Evers"	0.0952657
"Mahmoud Abbas"	0.0948007
"David Duke"	0.0912488
"Faisal Husseini"	0.0910872
"George Speight"	0.0908828
"Indira Gandhi"	0.0888078
"Zoran Djindjic"	0.0884046
"Gianni Versace"	0.0868317
"James Byrd"	0.0863624
"Martha Moxley"	0.0862262
"Moshood Abiola"	0.0849646
"Xanana Gusmao"	0.0848956
"Vojislav Kostunica"	0.0848085
"Matthew Shepard"	0.0841279
"David Trimble"	0.0837454
"Tin Oo"	0.0837274
"JonBenet Ramsey"	0.0836293
"Moammar Gadhafi"	0.0825361
"William Hague"	0.0824989
Rabin	0.0813536
Hani	0.0807478
"Rahm Emanuel"	0.0794887
"Joseph Bruno"	0.0790616
"Howard Baker"	0.0788136
Slepian	0.0785316
"Martin Luther King Jr."	0.0783907
"Harold Ickes"	0.0783247
"Sergei Yastrzhembsky"	0.077549
"Adem Demaci"	0.0770384
"David Bar-Illan"	0.0769351
Fraga	0.0765614
"Ayatollah Khomeini"	0.0760591
Sadat	0.0759325
"John Taylor"	0.0759209
"Tupac Shakur"	0.0748485
"Anwar Ibrahim"	0.0748342
"Alexander Lebed"	0.074349
"Lokendra Bahadur Chand"	0.0743343
"James Byrd Jr."	0.0739016
"Callista Bisek"	0.0732128
"Hashim Thaci"	0.0725577
"Rashid Dostum"	0.0720197
"Marzuki Darusman"	0.0716224
B.J	0.0712374
"George Stephanopoulos"	0.0703576
PFC	0.070085
"Gulbuddin Hekmatyar"	0.0696777
"Johnny Paul Koroma"	0.0689562
"Nicole Brown Simpson"	0.0686742
"Martin Luther King"	0.0679604
prefect	0.0678695
"Paul Begala"	0.0673359
"Bizima Karaha"	0.0669107
"John Prescott"	0.0665633
"Necmettin Erbakan"	0.0649839
Arkan	0.0648688
Ecevit	0.0647911
"Greek Cypriot"	0.0641761
"King Hassan"	0.0639639
"Lee Harvey Oswald"	0.0633109
"Malcolm X"	0.0626277
"Claudia Benton"	0.0625135
"Boris Fyodorov"	0.0624678
"Patrick Dorismond"	0.062319
"Abraham Lincoln"	0.0619802
"Gennady Zyuganov"	0.0616431
"Silvio Berlusconi"	0.0615441
"Yuri Maslyukov"	0.0611538
"Sidney Blumenthal"	0.0610419
"Tian Jiyun"	0.0607305
"Roosevelt Johnson"	0.0602864
"Helen Clark"	0.0602655
"Qiao Shi"	0.060091
RFK	0.0600725
"Khaleda Zia"	0.0599031
el-Baz	0.0598501
"Richard Gephardt"	0.0593308
"Pakalitha Mosisili"	0.0587109
"Massimo D'Alema"	0.0586981
"Aslan Maskhadov"	0.05854
"Sali Berisha"	0.0584905
Zhirinovsky	0.0584306
"Foday Sankoh"	0.0581996
"Ayatollah Ali Khamenei"	0.0581476
stepdaughter	0.0580914
"Abdullah Ocalan"	0.0580008
"Louis Farrakhan"	0.0579235
Copt	0.0575393
Buthelezi	0.0574299
"Amadou Diallo"	0.0574239
"Mikulas Dzurinda"	0.0572706
"Hugo Chavez"	0.057052
"Begum Khaleda Zia"	0.0570065
"Radovan Karadzic"	0.0568627
"Momir Bulatovic"	0.0567062
"Abu Mazen"	0.0566202
"Ta Mok"	0.0562337
militiaman	0.0560898
Ileto	0.0560884
Ayatollah	0.0557838
"Robert Kennedy"	0.0557407
"Unknown Soldier"	0.0555788
"Bruce Lindsey"	0.0553762
"John F. Kennedy"	0.0553145
noncombatant	0.0550084
"James Dobson"	0.0548162
"Bruce Teitelbaum"	0.0547389
"King Hassan II"	0.0547181
Bulatovic	0.0545078
"Nikola Poplasen"	0.0544587
"Viktor Orban"	0.0543976
Kaunda	0.0543836
"Czar Nicholas II"	0.0543766
Chand	0.0543145
"Lawton Chiles"	0.0542587
Zajedno	0.0542193
"Christian Social Union"	0.0540923
cleric	0.053753
mother-in-law	0.0535337
Hajjarian	0.0533274
"Wang Dan"	0.0531446
"Dick Gephardt"	0.0531143
"Kresimir Zubak"	0.0530983
Grunow	0.0529262
Webdale	0.0528382
"civil rights leader"	0.0527408
"Oliver North"	0.0524374
"Tom Daschle"	0.0522762
"Liu Huaqing"	0.0522138
"Anatoly Chubais"	0.0522062
"Dan Meridor"	0.0521134
"Yitzhak Mordechai"	0.0518988
"Ho Chi Minh"	0.0518334
Halloran	0.051581
"Felipe Gonzalez"	0.0512814
"Gerry Adams"	0.0512387
"Pol Pot"	0.0510641
"Mikhail Kasyanov"	0.0509378
"Alija Izetbegovic"	0.0509327
"Danny Yatom"	0.0509131
"Charles Taylor"	0.050908
"Kim Il Sung"	0.0508247
"Karen Hughes"	0.0508242
policewoman	0.0507921
"Carole Sund"	0.0506683
"Fatos Nano"	0.0505303
"John Podesta"	0.0504898
"Joschka Fischer"	0.0502751
"Abdurrahman Wahid"	0.0501732
Erbakan	0.0499059
Deri	0.0496368
"South Lebanese Army"	0.0496315
Ibrahim	0.0494478
"Sonia Gandhi"	0.0493381
Falcone	0.0493174
"Khieu Samphan"	0.0493156
"Abdollah Nouri"	0.0492894
"Jonas Savimbi"	0.0492395
"Hu Jintao"	0.049127
Jayalalitha	0.0490694
Snead	0.0487677
Krasniqi	0.0484907
"Dennis Hastert"	0.0483752
"Aung San Suu Kyi"	0.0483479
"Robert Guei"	0.0483218
))
(Azerbaijan (desc 26807) (sims
Armenia	0.242433
Turkmenistan	0.238672
Uzbekistan	0.22285
Kazakhstan	0.216275
Moldova	0.210929
Kyrgyzstan	0.196282
Tajikistan	0.18751
Latvia	0.183853
Belarus	0.182956
Lithuania	0.182655
Bulgaria	0.180131
Ukraine	0.178579
Kirghizstan	0.171896
Slovenia	0.171304
Kazakstan	0.168616
Hungary	0.167727
Romania	0.159152
Slovakia	0.153549
Estonia	0.1519
Mongolia	0.149458
Turkey	0.143458
Yemen	0.142838
Iran	0.140151
Tadzhikistan	0.14011
Oman	0.136572
Qatar	0.135722
Greece	0.135506
Iceland	0.134301
Russia	0.133977
Croatia	0.132376
Poland	0.131654
Georgia	0.130874
Kuwait	0.130348
Pakistan	0.1291
Namibia	0.127297
Finland	0.126726
Macedonia	0.12566
Ethiopia	0.125639
Bahrain	0.124298
Syria	0.124047
"Saudi Arabia"	0.123375
Peru	0.121966
Republic	0.121906
Benin	0.120914
Albania	0.120634
Egypt	0.120404
Niger	0.118458
Tunisia	0.117087
Algeria	0.117041
"United Arab Emirates"	0.116418
Bangladesh	0.115585
Norway	0.115553
Ecuador	0.115534
Eritrea	0.115398
Mozambique	0.115264
Nigeria	0.114321
Afghanistan	0.114097
Abkhazia	0.113944
India	0.113734
Yugoslavia	0.113709
Portugal	0.11354
Libya	0.113249
"South Korea"	0.113112
Senegal	0.113003
Venezuela	0.111293
Sudan	0.110691
Cyprus	0.109972
Mali	0.109162
"Papua New Guinea"	0.10895
Switzerland	0.108624
Cambodia	0.1086
Togo	0.108532
Morocco	0.10796
Baku	0.107622
Angola	0.107405
Gabon	0.10669
Israel	0.106285
Malta	0.106234
Austria	0.105763
Bosnia-Herzegovina	0.105689
"South Africa"	0.10561
Indonesia	0.104937
Thailand	0.104818
Ghana	0.104771
Zambia	0.104211
UAE	0.103938
Zimbabwe	0.103485
"Czech Republic"	0.103482
Nicaragua	0.10347
Serbia	0.103281
Colombia	0.103054
Botswana	0.102963
Italy	0.102733
Djibouti	0.10255
Bolivia	0.101925
"Russian Federation"	0.101874
Tanzania	0.101708
"Sri Lanka"	0.101484
Laos	0.100854
Malawi	0.100752
China	0.100332
Guatemala	0.0999678
Kenya	0.0997668
Guinea	0.099752
Palestine	0.0992616
France	0.0988358
Belgium	0.0988328
Vietnam	0.0983568
Uganda	0.0982651
Uruguay	0.0980662
Brunei	0.0980445
Denmark	0.0976095
Canada	0.0975127
Sweden	0.0971912
"Ivory Coast"	0.0965385
Iraq	0.0964724
Malaysia	0.0964102
Panama	0.0957807
Montenegro	0.0954886
"Costa Rica"	0.0953914
Cameroun	0.0951176
Lebanon	0.0949305
Luxembourg	0.0943071
Madagascar	0.0941798
Chile	0.0940292
"Caspian Sea"	0.093688
Argentina	0.0935587
Ingushetia	0.0931742
Myanmar	0.0931514
Nepal	0.0928371
Spain	0.0927133
Haiti	0.0921989
"El Salvador"	0.0920381
Mauritius	0.0919597
Guinea-Bissau	0.0913702
Burma	0.0913644
Cameroon	0.0906326
Honduras	0.0903989
Cuba	0.0901869
Seychelles	0.0901029
Germany	0.0900238
Chad	0.0893691
"Central Asia"	0.0889358
Mexico	0.0888238
Liberia	0.0885488
Paraguay	0.0883267
"Sierra Leone"	0.088296
Philippines	0.0879713
Maldives	0.0878263
Japan	0.0877225
Burundi	0.087502
Singapore	0.08591
PNG	0.0858726
Chechnya	0.0857494
Britain	0.0856918
"United States"	0.0855178
Ireland	0.0851153
"North Korea"	0.0847561
Bosnia	0.0845225
Surinam	0.0843985
DPRK	0.0843766
Brazil	0.084218
"African country"	0.0842144
Rwanda	0.0838559
Netherlands	0.0835187
Lesotho	0.083152
"Cape Verde"	0.0827423
Kyrgyz	0.0820157
Liechtenstein	0.0817708
Taiwan	0.0815177
"African nation"	0.0814786
"New Zealand"	0.0814389
Australia	0.0811307
ROK	0.0808317
"Trinidad and Tobago"	0.080637
Fiji	0.0804877
Dagestan	0.0804841
Zaire	0.0801933
"Burkina Faso"	0.0795639
"Equatorial Guinea"	0.0791243
Jordan	0.0790192
Comoros	0.0788865
Moscow	0.0782415
"Asian country"	0.0781981
Congo	0.0779841
Guyana	0.0779113
Swaziland	0.0778352
Mauritania	0.076826
Somalia	0.0763461
"European country"	0.0763267
Caspian	0.0752953
"Dominican Republic"	0.075225
"Soviet Union"	0.0751313
Andorra	0.0749331
"Guinea Bissau"	0.0743122
Kingdom	0.0742463
KIEV	0.0740572
"Republic of Korea"	0.0739595
"United Kingdom"	0.0735301
"South Vietnam"	0.0731375
))
(Azerbaijani (desc 1811.19) (sims
Azeri	0.412776
Turkmen	0.225112
Uzbek	0.224293
Belarusian	0.220679
Tajik	0.211908
Kazakh	0.204864
Ivorian	0.193573
Ecuadorean	0.18814
Belarussian	0.186278
Latvian	0.182866
Ecuadoran	0.182472
Kazak	0.178477
Botswanan	0.175941
Montenegrin	0.175772
Moldovan	0.173623
Camerounian	0.173515
Zairian	0.170899
Rwandese	0.169749
Kyrgyz	0.166189
Slovak	0.166058
Estonian	0.164623
Armenian	0.162547
Maltese	0.160313
Ingush	0.158806
Ukrainian	0.155386
Lithuanian	0.149527
"Sri Lankan"	0.149418
"Saudi Arabian"	0.145603
"South Vietnamese"	0.142645
Abkhazian	0.13908
"Costa Rican"	0.134512
Turkish	0.133749
Slovakian	0.133528
Finnish	0.129003
"Sierra Leonean"	0.127729
Icelandic	0.126724
"North Korean"	0.121965
Ukranian	0.12038
Danish	0.118201
"South Korean"	0.113201
Muslim-Croat	0.108794
Philippine	0.106713
Portuguese	0.104552
"Bosnian Serb"	0.103034
"Bosnian Muslim"	0.100695
Swedish	0.100262
"East African"	0.0984526
Greek	0.094736
"Northern Irish"	0.0897819
"Kosovar Albanian"	0.089704
Chechen	0.088932
Kosovar	0.0863199
"Greek Cypriot"	0.0859319
Surinam	0.0854041
PNG	0.0839231
Lao	0.0835233
"Central American"	0.080231
Croat	0.0801714
Luxemburg	0.0798933
ROK	0.0795625
Ivoire	0.0795165
"Bosnian Croat"	0.0765213
"Southeast Asian"	0.0745705
"North Vietnamese"	0.0738574
"the US"	0.0736528
"Middle Eastern"	0.0732062
"Central Asian"	0.0722501
"U.S. Soccer Federation"	0.0704337
Kiribati	0.0700764
BASQUE	0.0684642
"Western European"	0.0673078
MMD	0.0667511
Soviet	0.0666359
Korean	0.0662868
"Israeli Arab"	0.0645549
"Eastern European"	0.0643886
E.U	0.0640922
U.S.-led	0.0635216
Scottish	0.0632432
"roughly @@@,@@@"	0.063002
CNOOC	0.0626106
"West African"	0.0620865
ACFTU	0.0617296
Vanuatu	0.0612123
pro-Islamic	0.0607943
"up to @,@@@"	0.0603631
"roughly @@,@@@"	0.0600672
"roughly @,@@@"	0.0599788
Tadzhikistan	0.0598313
Niger	0.0597257
Hesse	0.0594613
"Chinese NPC"	0.0593939
Qing	0.0593762
Somaliland	0.0593415
"U. N."	0.0593228
JAL	0.0591349
Catalan	0.0591206
"roughly @@@"	0.0587792
CMA	0.0587637
AmCham	0.0584911
"nearly one million"	0.0583134
hardline	0.057746
"almost @ million"	0.0577028
"other @@@"	0.0571011
Okinawan	0.056659
Lesotho	0.056558
UML	0.0565155
Kuomintang	0.0562232
"British Foreign Office"	0.0559933
nosebleed	0.0559004
"Ethnic Albanian"	0.0558072
"East German"	0.0556743
"over @,@@@"	0.0553083
"Muslim-Croat Federation"	0.0551914
Kyrgyzstan	0.0551168
"Turkish Cypriot"	0.0550293
IAI	0.055013
"Seven million"	0.0547854
"Solomon Islands"	0.0547556
pre-@@@@	0.0544285
"Chinese Olympic"	0.0544021
EA	0.0541015
Amazonian	0.0537874
Wesson	0.0533868
"CBS Sports"	0.0533023
Sandinista	0.0530204
IMS	0.0528376
Guinea-Bissau	0.0528161
"over @.@ million"	0.0523229
Ottoman	0.0522852
CPAFFC	0.0521732
"Wine Institute"	0.0519018
Solomons	0.0516068
AOC	0.0515961
MSAR	0.0514987
Seychelles	0.0513877
Palau	0.0513851
"East European"	0.0509377
Kashmiri	0.0509309
"NZ First"	0.050729
cayman	0.0504194
"up to @@@,@@@"	0.0500707
BSF	0.0499626
Balkan	0.0494517
"New Zealand First"	0.0493993
slain	0.0491676
"almost @@@"	0.0486948
pro-western	0.0486446
ARATS	0.0484342
SEF	0.0483
"Irish Catholic"	0.0482121
USSR	0.0480979
Rawabdeh	0.0480636
Arianespace	0.0480338
Forty-four	0.0480005
"Over one million"	0.0479256
Navajo	0.0479139
Belize	0.0476924
CCPIT	0.0474657
Cote	0.0473109
"nearly @ million"	0.0472157
"about @@@ to @@@"	0.0470956
PTT	0.0469601
Islamist	0.0469579
EBRD	0.0468821
Ulster	0.046837
CNPC	0.0466053
CSE	0.0464733
"More than two million"	0.0463473
interagency	0.0463132
"nearly @@@,@@@"	0.0460022
Saskatchewan	0.0458458
BSA	0.0458268
eco	0.0457019
Baltic	0.0456132
"six to eight"	0.0454781
Comoros	0.0454744
TDB	0.045372
U.S	0.0453712
Cr	0.0453661
Benin	0.045276
Genzyme	0.0451089
"Cape Verde"	0.0449833
ex-communist	0.0448239
"more than one million"	0.0447866
occupying	0.0447023
Yamaichi	0.0446752
"almost @,@@@"	0.0445925
OAS	0.0445231
Timorese	0.0445202
FSA	0.0444819
OCA	0.0443504
"Kosovo Albanian"	0.0440639
PSE	0.0440585
"Russian Interior Ministry"	0.0440425
"close to @@,@@@"	0.0439624
NGO	0.0439383
dovish	0.0438156
Eighteen	0.0438008
"Dallas County"	0.0437306
))
(Azeri (desc 1381.39) (sims
Azerbaijani	0.412776
Turkmen	0.262769
Kazakh	0.213331
Tajik	0.203528
Kazak	0.196459
Rwandese	0.183596
Kyrgyz	0.177419
Ingush	0.175007
Abkhazian	0.172016
Estonian	0.168424
Belarusian	0.168234
Montenegrin	0.167325
Moldovan	0.165283
Uzbek	0.161479
Camerounian	0.161332
Belarussian	0.157963
Latvian	0.154548
Ivorian	0.147726
Zairian	0.146511
Ukrainian	0.142967
"Costa Rican"	0.139567
"Saudi Arabian"	0.137671
Ecuadoran	0.137443
"Sri Lankan"	0.135453
"South Korean"	0.131775
Armenian	0.125697
Maltese	0.123609
Ecuadorean	0.122709
"South Vietnamese"	0.120928
"Sierra Leonean"	0.119232
Botswanan	0.118768
Slovak	0.118641
Lithuanian	0.117256
"Bosnian Muslim"	0.116749
Turkish	0.115813
"North Korean"	0.110665
Danish	0.103736
Slovakian	0.101043
"Central Asian"	0.0998998
Icelandic	0.0994331
Ukranian	0.0928181
Greek	0.0921492
Catalan	0.0916364
Philippine	0.0913048
Swedish	0.0909633
"Bosnian Serb"	0.0906422
BASQUE	0.0874324
Chechen	0.087359
Kashmiri	0.0862881
Kosovar	0.0853437
Finnish	0.0849473
"Western European"	0.0823276
Portuguese	0.0817293
"Greek Cypriot"	0.0806412
Lao	0.0793477
"Viet Cong"	0.0786607
MMD	0.0773437
"Kosovar Albanian"	0.0763654
"Israeli Arab"	0.0747826
"Bosnian Croat"	0.0745996
Sandinista	0.0729317
"Southeast Asian"	0.0720477
Somaliland	0.0717972
Okinawan	0.0709555
Iroquois	0.0682294
PNG	0.0681636
"Central American"	0.0677062
"Kosovo Albanian"	0.0673494
Croat	0.0672506
pro-western	0.0669899
"Turkish Cypriot"	0.0664939
"North Vietnamese"	0.0653435
"Middle Eastern"	0.0652174
"West African"	0.0647793
Berber	0.0645843
Soviet	0.0637526
Sinhala	0.0631103
DFB	0.0630297
U.S.-led	0.062064
"Eastern European"	0.0616512
ZCTU	0.0607488
Kiswahili	0.0603619
"East African"	0.0591807
"Russian Interior Ministry"	0.0591382
Surinam	0.057891
CPAFFC	0.0575558
"U. N."	0.0570127
"Chinese Olympic"	0.0567878
Kurdish	0.05547
U.S	0.0553044
E.U	0.0547991
hardline	0.0546636
"British Foreign Office"	0.0546155
"U.S. Soccer Federation"	0.0544224
"regular army"	0.0542718
Khmer	0.0539754
UML	0.0537165
Muslim-Croat	0.0531485
"Northern Irish"	0.0530975
slain	0.0526713
"roughly @,@@@"	0.0523313
NATO-led	0.0511302
"other @@@"	0.0508914
Wesson	0.050494
Palau	0.0501643
Ivoire	0.0496489
ACFTU	0.0494516
Zapatista	0.0490869
Afrikaans	0.0486689
Alaskan	0.0485767
SCLC	0.0484025
pan-Arab	0.0483304
ITTF	0.0483119
"nearly one million"	0.0480892
"Republican House"	0.048071
"Lower Saxony"	0.0479641
AmCham	0.0477321
Maasai	0.0475938
USTA	0.0472725
CSE	0.0470009
"Senate Republican"	0.0468476
SPP	0.0466667
SDPC	0.0465925
IRGC	0.0465423
"the US"	0.0462662
CNOOC	0.0459823
CMA	0.0459681
Italian-American	0.0459032
"North African"	0.0458065
PTT	0.0457738
CCPIT	0.0456938
UNIP	0.0452928
"close to @@,@@@"	0.0452748
Amazonian	0.0451647
ragtag	0.0451253
EBRD	0.0450269
IMS	0.044776
ex-communist	0.0446596
BSA	0.0446261
"Allied Pilots Association"	0.0445434
Kuomintang	0.0443841
"Solomon Islands"	0.0443475
Guinea-Bissau	0.0442903
Swahili	0.044027
Kiribati	0.0439161
"East German"	0.0435762
Maori	0.0435232
Sindh	0.0434185
KDP	0.0433821
"Northern Territory"	0.0432307
"Wine Institute"	0.0431609
Flemish	0.0426239
NARAL	0.0424775
"Ethnic Albanian"	0.0422245
Tadzhikistan	0.0422022
IU	0.0419717
CAA	0.0419539
pan-African	0.0419139
E-ZPass	0.0418376
"Northern Alliance"	0.0416152
OCA	0.0416121
"Southern Baptist"	0.0415849
"U.S. Congress"	0.0414622
NRM	0.0413865
Forty-four	0.0411837
SFA	0.0411584
"soya bean"	0.0411047
UCI	0.0410592
MDC	0.0410001
NDP	0.0409901
Timorese	0.0408158
"Irish Catholic"	0.0407921
Hutu	0.0407638
PSE	0.0405904
AFA	0.0404916
Taleban	0.04038
teamster	0.0403334
PBA	0.0403244
Inca	0.0400197
))
(Azinger (desc 1669.98) (sims
Cink	0.197417
Janzen	0.147939
Moog	0.140483
Gogel	0.133112
Inman	0.130599
Kuehne	0.130561
Maruyama	0.127652
Appleby	0.123689
Begala	0.121406
Bierhoff	0.118548
Triplett	0.11551
beamer	0.112865
Stricker	0.112258
Beathard	0.111984
Heinrichs	0.111972
Solis	0.111325
Calcavecchia	0.108454
Olazabal	0.104345
Langham	0.103177
Moeller	0.101986
Inkster	0.101821
Ainge	0.100462
Faldo	0.0997668
Mickelson	0.0996847
Hoch	0.0989493
Mayfair	0.0979056
Atler	0.0977059
Driscoll	0.0970999
Passarella	0.0966189
Bodine	0.0960675
Sheehan	0.0955177
Golding	0.0954789
Fleischer	0.0949158
Andreychuk	0.0946184
bourgeois	0.094543
"Scott Hoch"	0.0942737
Paxon	0.0935835
Haarhuis	0.0932339
Biffle	0.0932131
"Paul Azinger"	0.0923419
Hyman	0.0915984
Rubenstein	0.0913237
Jacobsen	0.0912002
Parnevik	0.0910015
Herron	0.0906414
"Hal Sutton"	0.0906382
Soyinka	0.0904672
Finkel	0.0900122
Dougherty	0.0899217
Sorenstam	0.0895773
Andrade	0.0884184
Mallon	0.0875684
Summitt	0.0875631
"Vijay Singh"	0.0871418
"Craig Parry"	0.0868982
Singh	0.086852
"Van de Velde"	0.0867812
Scelzi	0.0867023
Polian	0.0866228
Kuchar	0.08651
Ganassi	0.086269
"John Daly"	0.0859816
McGuire	0.0858513
Donnan	0.0854183
Schmid	0.0850631
"Tom Lehman"	0.0848758
Aoki	0.0845441
Rendell	0.0844202
Okada	0.0841999
Sahadi	0.0841605
"Lee Janzen"	0.0840085
Rahal	0.083909
BEGAY	0.0836061
Ochoa	0.0835171
Lawrie	0.083483
Gossage	0.0834165
estes	0.0828677
Zvereva	0.0826564
Kenseth	0.0825339
Ince	0.0824174
Henley	0.0823032
"Jim Furyk"	0.0821125
Ebersol	0.0820729
Westwood	0.0819488
"Loren Roberts"	0.0819338
Furyk	0.0816354
Hartsburg	0.0815841
McCarron	0.0813753
Robson	0.0810422
"David Duval"	0.0808279
Irwin	0.0808052
Stadler	0.0806586
Krzyzewski	0.0804473
Davie	0.0803839
Bjorn	0.0802826
Hornaday	0.0801782
Cowan	0.0799803
Ratliff	0.0795407
Durant	0.079295
McGinnis	0.0788665
Madsen	0.0788079
Lehman	0.0786271
Weisman	0.0785035
Guerra	0.0784719
"Greg Norman"	0.0782867
Sherrill	0.0781388
Kenyon	0.0780805
Zabel	0.0779835
Duval	0.0777243
Chuasiriporn	0.0776575
Insulza	0.0776239
Valenzuela	0.0772042
Talebi	0.0769015
Clements	0.0769001
Mandella	0.0768774
Mendez	0.0765131
Elliot	0.0764509
"Earnhardt Jr."	0.0763295
Sather	0.0763178
Moakley	0.0760266
"Justin Leonard"	0.0759311
McKnight	0.0753491
Wenger	0.0752812
Meissner	0.0750357
Geiger	0.0749981
Tagliabue	0.0749006
Solich	0.0748408
Huston	0.0745733
Ikimi	0.0745099
Desormeaux	0.0745006
Lowery	0.0740591
Herta	0.074035
Auriemma	0.0739669
Guthridge	0.0738033
Tuberville	0.0737751
Pagones	0.0737318
Kaye	0.0736935
"Jeff Maggert"	0.0736895
Loroupe	0.0736693
Sutton	0.0735626
"Phil Mickelson"	0.0734155
"Bob Tway"	0.0734124
Coffey	0.0733138
Skiles	0.0731765
Jarrell	0.0727464
hodgson	0.0727391
"administration official"	0.0726876
Sasser	0.0726708
Briscoe	0.0725103
McCurry	0.0722054
Khannouchi	0.0721691
Hartley	0.0719218
Laudrup	0.0718942
"Fred Couples"	0.0716786
Quigley	0.0716437
Lehane	0.0716397
Samuelson	0.071487
Irvan	0.0714462
Pruett	0.0714325
Reiner	0.0713264
Jacquet	0.0712167
Piniella	0.0711891
Fleisher	0.0710606
Bochy	0.0710477
Piot	0.0710343
UAB	0.0709681
Andretti	0.070953
Gillick	0.0708822
Manley	0.0708805
"Zubin Mehta"	0.0708147
"Jose Maria Olazabal"	0.0706689
McInnis	0.0704983
Choi	0.0703003
Cleland	0.0702223
Pollack	0.0700134
Danner	0.0699609
O'Meara	0.069919
Marineau	0.0698451
Waxman	0.069712
Neilson	0.0697053
Leonard	0.0693919
Bettman	0.0693801
Pate	0.0693381
Schmitt	0.0692919
Stackhouse	0.0691319
Colbert	0.0689619
Brandt	0.0688699
Hanna	0.0688523
Milbury	0.0688115
Tanaka	0.0687531
Zito	0.068724
Hunsicker	0.0686633
Kirkpatrick	0.0686382
Kagwe	0.0684437
Tomey	0.0681841
Cahill	0.068182
Muckler	0.0681079
Zanardi	0.0680889
Dragila	0.0680543
Nicklaus	0.0679228
))
(Aziz (desc 8902.89) (sims
Kharrazi	0.224041
Dini	0.218152
Jayakumar	0.216945
Komura	0.214837
Abdel-Meguid	0.212705
Velayati	0.209865
Cem	0.20888
Alatas	0.208318
Jovanovic	0.205255
Ivanov	0.203648
Sergeyev	0.202222
Qian	0.198549
Pangalos	0.19794
Boueiz	0.191818
"de Charette"	0.191704
Vajpayee	0.191024
"Tariq Aziz"	0.190445
Meguid	0.189404
Kasoulides	0.188509
Moussa	0.18817
Annan	0.187106
Mkapa	0.184995
Solana	0.183544
Ikeda	0.183006
Rifkind	0.182479
Vedrine	0.182469
Chirac	0.181719
al-Sahhaf	0.180498
Zou	0.179544
Talbott	0.179175
Stoyanov	0.17714
Wolfensohn	0.176467
Demirel	0.174268
Hasina	0.172622
Moratinos	0.172566
Clerides	0.172491
Ruehe	0.171095
Mubarak	0.170989
Gujral	0.170457
Axworthy	0.169782
Goh	0.169468
Denktash	0.169396
Klestil	0.168744
Mbeki	0.168641
Kinkel	0.16802
"Tareq Aziz"	0.167365
Ecevit	0.166903
Guterres	0.16683
Leghari	0.165959
Nzo	0.164289
Meles	0.163106
Tsang	0.162982
Shareh	0.162795
Camdessus	0.1607
Gaddafi	0.159555
Qiao	0.159536
Phieu	0.159223
Kuchma	0.158541
Albright	0.158278
Nazarbayev	0.158017
Saleh	0.15798
Chuan	0.157885
Scalfaro	0.157719
Sumaye	0.156195
Lukashenko	0.155274
Weizman	0.15507
Klima	0.154796
"Atal Bihari Vajpayee"	0.154479
Chissano	0.154333
Erekat	0.154103
Lahoud	0.154027
Nujoma	0.153987
Insulza	0.153921
al-Sharaa	0.153292
Mandela	0.153066
Santer	0.15298
Mugabe	0.152453
Gadhafi	0.152063
Primakov	0.151949
Pickering	0.151702
Arafat	0.151673
Museveni	0.151642
Peres	0.151613
"Secretary General Esmat Abdel-Meguid"	0.151485
Barshefsky	0.150705
Ogata	0.149985
Constantinescu	0.149431
Azad	0.149362
Abdullah	0.148619
Brittan	0.147863
Kabariti	0.147645
Sharif	0.146867
Ikimi	0.146844
Chretien	0.146725
Zhu	0.146345
Kostov	0.146029
Khaddam	0.145883
Shevardnadze	0.145706
Prodi	0.145628
Brahimi	0.145591
"Javier Solana"	0.145058
Tung	0.145016
Hariri	0.144719
Ahtisaari	0.144393
Khamenei	0.144362
Jiang	0.14422
"Tang Jiaxuan"	0.144218
Moi	0.143551
Singson	0.143342
"Binyamin Netanyahu"	0.143206
Azizah	0.142781
Simitis	0.14133
Husseini	0.141244
"William Cohen"	0.140845
Rong	0.140524
"Kamal Kharrazi"	0.140471
Vollebaek	0.140204
Holbrooke	0.139875
Majali	0.13987
Kyprianou	0.139744
"Jordanian King Abdullah Bin Hussein"	0.139504
Luong	0.138755
Karimov	0.138727
Mahathir	0.138558
"De Soto"	0.138265
Hashimoto	0.138192
Zuma	0.137811
Chavalit	0.137603
Mordechai	0.13729
"Saeb Erekat"	0.137065
Wahid	0.136947
"Than Shwe"	0.136897
Zeroual	0.136806
Musharraf	0.136638
Advani	0.136623
Blair	0.136348
Schuessel	0.136282
Kwasniewski	0.136198
Fischer	0.136142
LaPierre	0.136056
Nasrallah	0.135883
Surin	0.13513
Narayanan	0.134982
Lipponen	0.13445
"Lee Hsien Loong"	0.133758
Menem	0.133569
tang	0.133176
Downer	0.133169
Siazon	0.13302
Salim	0.132902
Khai	0.132681
Cohen	0.132616
Shi	0.132509
Tarawneh	0.132449
Yilmaz	0.132268
"Bulent Ecevit"	0.132002
Indyk	0.131697
Granic	0.131658
Scharping	0.130827
Jospin	0.130744
"Kofi Annan"	0.130582
Aznar	0.130261
Deuba	0.130145
Abubakar	0.129926
Ahern	0.129632
Hassan	0.129361
"Secretary General Esmat Abdul-Meguid"	0.129274
Diouf	0.129065
Rodionov	0.128864
Kennard	0.128849
Frei	0.128693
Hu	0.128502
Prewitt	0.12847
Alarcon	0.128389
Chiluba	0.128295
"Yevgeny Primakov"	0.127757
Dehaene	0.127618
Hoss	0.127185
Chernomyrdin	0.126206
"Atal Behari Vajpayee"	0.126029
"Igor Ivanov"	0.125895
Erbakan	0.125868
Zeng	0.125506
Beilin	0.125373
Mandelson	0.124895
Gowda	0.124764
Sihanouk	0.124607
"William Perry"	0.1246
Netanyahu	0.124565
Estrada	0.124312
McCaffrey	0.124287
Rakhmonov	0.12414
Milutinovic	0.123835
Kono	0.123505
al-Assad	0.123181
Ganzouri	0.123007
Stroyev	0.122895
"Phan Van Khai"	0.122853
Juma	0.122696
Bildt	0.122638
al-Bashir	0.122364
"Li Peng"	0.122343
wen	0.122171
Daley	0.122009
"Dos Santos"	0.122001
al-Khatib	0.121983
Sharon	0.121969
Hrawi	0.121216
"Atef Obeid"	0.121146
McCurry	0.121041
Rafsanjani	0.121038
Obuchi	0.12083
"Nawaz Sharif"	0.120586
Ben-Ami	0.120273
Shipley	0.120125
Khatami	0.119959
Niyazov	0.119114
Bolger	0.119018
MIYAZAWA	0.118922
"Meles Zenawi"	0.118794
"Necmettin Erbakan"	0.118744
"secretary of state"	0.118452
"Chuan Leekpai"	0.118185
"Benjamin Netanyahu"	0.118178
"Amnuay Virawan"	0.11813
Orban	0.118071
Shamshad	0.11806
Samaranch	0.117969
"Lionel Jospin"	0.117911
Koo	0.117726
Barak	0.117701
Gurirab	0.117545
Hodler	0.117362
"Jean Chretien"	0.11726
Ciller	0.117001
"Tony Blair"	0.116569
Sarid	0.116548
"Mahathir Mohamad"	0.116462
Wu	0.116304
Ramos	0.116211
Muoi	0.115944
Pustovoitenko	0.115641
Aventajado	0.115448
Chi	0.115153
Bruton	0.11513
Sharaa	0.115129
Jia	0.114667
Akayev	0.114664
"Hun Sen"	0.114581
"foreign minister"	0.114547
Stepashin	0.114528
Bizimungu	0.113785
Pastrana	0.113743
D'Alema	0.11369
Tian	0.113634
"Ehud Barak"	0.113471
al-Shara	0.113457
"council member"	0.112867
Bellamy	0.112859
"Jaswant Singh"	0.112639
"Arab League"	0.112509
Li	0.112414
Piot	0.112412
"Inder Kumar Gujral"	0.112411
Schroeder	0.112303
Seleznyov	0.11223
Yeltsin	0.112178
"Goh Chok Tong"	0.112153
"John Howard"	0.112135
Juncker	0.112072
"Abdullah Ahmad Badawi"	0.111568
"Saudi King Fahd Ibn Abdul-Aziz"	0.111566
"Sheikh Hasina"	0.111275
"Amr Moussa"	0.11107
Levitt	0.110885
Kiriyenko	0.110881
"Abdul Karim Kabariti"	0.110793
Kok	0.110622
Vasile	0.110596
Kumaratunga	0.110568
Xanana	0.110441
"Tim Fischer"	0.110246
Berri	0.110233
al-Sahaf	0.110142
Putin	0.110023
Iliescu	0.109845
"Vo Van Kiet"	0.109736
"Costas Simitis"	0.109729
Fu	0.109183
Holl	0.109069
"Bertie Ahern"	0.108923
"deputy foreign minister"	0.108891
Lehane	0.108872
Bulatovic	0.1084
Kim	0.108314
"Ismail Cem"	0.107965
Rabbani	0.107855
Assad	0.107565
Malu	0.107504
Christopher	0.10733
Boutros-Ghali	0.107265
"Radu Vasile"	0.106926
Sponeck	0.106876
"Salim Hoss"	0.106839
Berger	0.10622
Rubin	0.106206
Mori	0.106171
Ross	0.106099
Kissinger	0.105995
Manley	0.105945
"Hubert Vedrine"	0.10585
Butler	0.105805
Eizenstat	0.10579
envoy	0.105744
"Ryutaro Hashimoto"	0.105642
Singh	0.105512
Lockhart	0.105478
"King Abdullah"	0.105477
Vice-Premier	0.105413
Luo	0.105303
"Richard Butler"	0.105028
Juppe	0.10498
Ciampi	0.104594
"Khin Nyunt"	0.104589
Xiong	0.104417
Shaath	0.104411
"John Bruton"	0.10431
Koirala	0.104296
"Mesut Yilmaz"	0.104108
"Rafik Hariri"	0.104104
Sampaio	0.103974
"King Fahd"	0.103753
Buzek	0.103663
Waigel	0.103568
"Keizo Obuchi"	0.103535
"Jose Maria Aznar"	0.103405
Banharn	0.103339
Shalala	0.103227
"Romano Prodi"	0.103189
Brundtland	0.103162
"Deve Gowda"	0.103049
Kasyanov	0.102982
Hamad	0.102795
Wei	0.102751
"Frederick Sumaye"	0.102606
Wolfson	0.102384
Muluzi	0.102236
"Sergei Kiriyenko"	0.102139
Garang	0.102002
Yastrzhembsky	0.101835
Demaci	0.101774
Rugova	0.101755
Lebed	0.101537
"David Levy"	0.101297
Severino	0.101214
Habibie	0.101095
Nemtsov	0.100749
Hamdoon	0.10071
Papandreou	0.100698
Verney	0.10058
Kohl	0.100529
Lott	0.10042
"King Hussein"	0.100256
Soares	0.100237
))
(Azizah (desc 1441.08) (sims
"Azizah Ismail"	0.192916
Insulza	0.18913
Demaci	0.184028
Scalfaro	0.18352
Jayakumar	0.18279
Orban	0.181936
Cem	0.17866
Alatas	0.178243
Sergeyev	0.175259
Kyprianou	0.173774
Tarawneh	0.169369
Klestil	0.169339
LaPierre	0.168956
"de Charette"	0.168601
Ruehe	0.168207
Wilhelm	0.166533
Komura	0.166528
Wolfensohn	0.165456
Moratinos	0.16535
Siazon	0.165117
Camdessus	0.164109
Aventajado	0.163118
Narayanan	0.162443
Klima	0.160329
Jovanovic	0.159915
Kornberg	0.159913
Velayati	0.15618
Markovic	0.153524
Barshefsky	0.153501
Advani	0.15344
Reimer	0.151064
Lipponen	0.150595
Nasrallah	0.149802
Pangalos	0.148097
"De Soto"	0.145908
Mikhailov	0.145902
Juppe	0.145823
Stoyanov	0.145786
Manley	0.145732
Shevardnadze	0.145161
Hodler	0.145136
Dini	0.145075
Indyk	0.143178
Aziz	0.142781
Prewitt	0.141743
Kasoulides	0.141534
Ecevit	0.140775
Ivanov	0.140134
Marulanda	0.139424
Vollebaek	0.138969
Constantinescu	0.138891
Vedrine	0.138824
Blatter	0.136714
Zeman	0.136151
Zuma	0.135853
Meles	0.135847
Dehaene	0.135251
Boueiz	0.135039
Ikeda	0.134799
Khaddam	0.13476
Gujral	0.134539
Kostov	0.13426
Zou	0.134084
Ikimi	0.133958
Eizenstat	0.132877
Kabariti	0.132599
Solich	0.131697
Solana	0.131555
Ogata	0.131518
Tarrin	0.131026
D'Alessandro	0.130932
Rifkind	0.130897
Phieu	0.130536
Ahtisaari	0.130526
Beilin	0.129961
Majali	0.129677
Singson	0.129563
Moussa	0.129341
Xiang	0.128999
Bulatovic	0.128519
Stroyev	0.128259
Hamid	0.12825
Khai	0.127911
Granic	0.127503
"William S. Cohen"	0.127425
Brittan	0.127242
Nemtsov	0.127002
Wolfson	0.12651
Rodionov	0.126373
Kinkel	0.125857
Yastrzhembsky	0.125228
Harmoko	0.124842
Piot	0.124708
Seleznyov	0.124637
Chissano	0.124497
Leghari	0.124104
Schmid	0.123825
Flanagan	0.123189
"Valery Pustovoitenko"	0.123018
Guterres	0.12242
Grasso	0.122131
Shoate	0.122067
Beazley	0.121476
Sharaa	0.12145
Kuchma	0.121431
Chevenement	0.121425
Koo	0.12108
Lockyer	0.12093
Schuessel	0.120673
Cashman	0.120655
Ebersol	0.120084
Simitis	0.120053
Kharrazi	0.120003
Husseini	0.119718
Goh	0.11958
Meguid	0.119412
McCurry	0.119307
Vialli	0.119139
Fino	0.11908
Pustovoitenko	0.118929
"administration official"	0.118926
Kok	0.118721
Satcher	0.118714
Billick	0.118016
Kwasniewski	0.118014
Saleh	0.117981
al-Sharaa	0.117496
Malan	0.11746
Nzo	0.117417
Finkel	0.117391
Wahid	0.117251
Vogts	0.117151
Gullikson	0.117086
Cooley	0.116969
Mkapa	0.116697
Milutinovic	0.116592
Rong	0.116269
"Ivan Kostov"	0.116045
"H.D Deve Gowda"	0.115713
Heinrichs	0.115594
Chiluba	0.115503
Aleman	0.115446
Talbott	0.115434
Solis	0.115227
Nazarbayev	0.11521
al-Sahhaf	0.115202
McKinnon	0.114326
Soyinka	0.114202
Meissner	0.113997
Chirac	0.113856
Schuerholz	0.11383
Pickering	0.113654
Kerik	0.113618
Zeroual	0.113614
Scharping	0.113325
Malu	0.113307
Hrawi	0.113243
Abdel-Meguid	0.113167
Berri	0.112895
DeFrantz	0.11283
Paxon	0.112814
"Jordanian King Abdullah Bin Hussein"	0.112736
Skiles	0.112586
Mariucci	0.112572
Yandarbiyev	0.112523
Clerides	0.112383
Huizenga	0.112382
Tsang	0.112071
Chuan	0.112057
Xanana	0.112035
Nickerson	0.111849
Bolger	0.111775
Taft	0.111174
Menem	0.110971
Majko	0.110945
Rakhmonov	0.110641
Zhirinovsky	0.110551
"King Sihanouk"	0.110353
Banzer	0.110171
Duisenberg	0.11015
Strauss-Kahn	0.110067
Jospin	0.110048
Hiett	0.109872
Gaddafi	0.109772
Naumann	0.109669
Daschle	0.109664
Condit	0.109154
Farrakhan	0.109113
Donohue	0.108907
Gillick	0.108881
Fernandes	0.108859
Bildt	0.108799
"Laura Bush"	0.108794
Checketts	0.108547
LeBlanc	0.108542
Sahadi	0.108495
Lehane	0.108322
Patten	0.108299
Soares	0.108226
Murad	0.108056
Shipley	0.108034
Troussier	0.107999
McGinnis	0.107814
Conroy	0.107598
"Atef Obeid"	0.107509
Milbury	0.107442
Poole	0.107434
Alarcon	0.107338
Denktash	0.10696
Museveni	0.106894
MIYAZAWA	0.106666
Buzek	0.106494
"Maung Aye"	0.106486
Vogel	0.106086
Gaston	0.106084
Hoss	0.106036
Bonner	0.106004
Xiong	0.10573
Okada	0.105644
Santer	0.105623
McQueen	0.105444
Banharn	0.105367
Passarella	0.10535
Lukashenko	0.105281
Mandelson	0.105273
"King Abdullah II"	0.105174
Ahern	0.105163
Daley	0.105097
"Cambodian King Norodom Sihanouk"	0.105074
Qiao	0.105026
Surin	0.104906
"Than Shwe"	0.104722
Kavan	0.104634
Luong	0.104578
Kasyanov	0.104555
Fassett	0.104239
Zucker	0.103953
Rawabdeh	0.103804
Hybl	0.103715
Mordechai	0.103569
Diouf	0.103507
Demirel	0.103481
Wenger	0.103441
"Paavo Lipponen"	0.103347
Laudrup	0.103283
Ruff	0.103239
Gadhafi	0.103175
"Adem Demaci"	0.103132
"Brian Cashman"	0.103117
Fieger	0.103066
Lahoud	0.103051
Gosper	0.103014
Carollo	0.102985
"Bashkim Fino"	0.102942
Valenzuela	0.102941
MURTHA	0.102801
Sumaye	0.102766
Cao	0.102671
"Dos Santos"	0.102506
Hartsburg	0.10224
Kono	0.102201
Sather	0.102167
Azad	0.102133
Kato	0.102044
Imperatori	0.101924
Maslyukov	0.101817
Yilmaz	0.101763
Mahdi	0.101574
Garang	0.101542
Choate	0.101379
Alderson	0.101376
Bruton	0.101186
Allard	0.101173
"Robert Aventajado"	0.101166
Ciampi	0.101163
"Saudi King Fahd"	0.101096
Seselj	0.101046
Lau	0.101027
Gilman	0.101011
Fleischer	0.100947
Atwood	0.100941
Severino	0.10077
Djukanovic	0.100688
Auriemma	0.100622
Chretien	0.100527
Aznar	0.100359
Ota	0.10034
Barrie	0.100294
Deuba	0.100262
Reinhardt	0.100224
Sorensen	0.100221
"National Security Adviser Sandy Berger"	0.100198
Glickman	0.100168
Herron	0.100114
Iglesias	0.10004
))
("Azizah Ismail" (desc 990.641) (sims
Juanita	0.19368
Azizah	0.192916
Cindy	0.184251
Eileen	0.183183
Brenda	0.178253
Doris	0.17782
Tracey	0.174459
Lynne	0.173371
Maureen	0.169618
Hadassah	0.169531
Pam	0.169274
"Graca Machel"	0.16782
Rhonda	0.167749
Phyllis	0.158106
Kathy	0.155064
Cherie	0.15379
Dolores	0.148254
Vera	0.147869
"Winnie Madikizela-Mandela"	0.14768
"Tipper Gore"	0.147481
Esther	0.145492
Terri	0.145473
"Laura Bush"	0.144909
Evelyn	0.143172
Cheryl	0.142667
Marlene	0.142221
Suzanne	0.140901
Michele	0.139743
"Patsy Ramsey"	0.139183
"Wang Yeping"	0.13851
Sheryl	0.137937
Theresa	0.137718
Elaine	0.136844
Kristin	0.135762
Colette	0.134912
Debra	0.134677
Irina	0.13467
Patricia	0.134578
alicia	0.134347
colleen	0.134181
Cathy	0.134114
Carolyn	0.133943
Miriam	0.13359
Josephine	0.133539
JoAnne	0.133182
Beverly	0.13299
Camille	0.132845
Patti	0.132267
Lois	0.131873
"Zhu Lin"	0.131828
"Carolyn Bessette Kennedy"	0.130778
Dorothy	0.130231
Shirley	0.12983
Olga	0.129187
Norma	0.128868
Pauline	0.128726
Susan	0.128006
Peggy	0.127927
Frances	0.127438
Sara	0.126825
Millie	0.126201
Kimberly	0.126133
"Queen Noor"	0.126086
Nada	0.125984
Tipper	0.125637
Diane	0.125283
Donna	0.125256
Connie	0.124054
Lori	0.123415
Monique	0.123282
"Lynne Cheney"	0.122704
Teresa	0.122541
Audrey	0.122119
Polly	0.12164
Jacqueline	0.121352
Sylvia	0.121162
"Carmen Electra"	0.121053
Janet	0.121012
Dora	0.12092
Helen	0.120664
Valerie	0.120075
Jayakumar	0.119424
Lucia	0.119012
Marta	0.118736
Linda	0.11865
Marcia	0.11861
Stephanie	0.118189
Vicki	0.118122
Betty	0.11773
Olivia	0.117715
Liz	0.117622
Kathleen	0.116852
Nina	0.11622
Roberta	0.115993
Sandra	0.115977
Edith	0.115967
Eleanor	0.115603
Leah	0.1153
Yarmila	0.114973
Judith	0.114669
Janice	0.114064
Sheila	0.114029
Debbie	0.113345
Marilyn	0.113124
Wolfensohn	0.113087
Sonia	0.112809
hazel	0.112356
Marian	0.1121
Nancy	0.112011
Annie	0.11192
Stacy	0.111308
Ellen	0.110271
Carol	0.11027
Lisa	0.110232
Kay	0.11016
Deborah	0.10999
ANN	0.109643
Angela	0.109486
Markovic	0.109456
Jill	0.109106
Barbara	0.10853
Laura	0.108097
Lucille	0.108065
Marianne	0.107017
Siazon	0.106548
Alma	0.106035
Narayanan	0.105832
Wanda	0.105413
Karen	0.104726
Julia	0.104641
Margaret	0.104103
Komura	0.104054
Winnie	0.104011
Claudia	0.103686
Beth	0.103657
Lydia	0.103427
Billie	0.103117
Judy	0.10308
Rita	0.103009
Melinda	0.101444
Alexandra	0.101083
Thelma	0.10083
Jeanne	0.100738
Louise	0.10072
"Imelda Marcos"	0.100597
Agnes	0.100405
Garang	0.0995239
"Maria Shriver"	0.0993598
Cynthia	0.0992616
Sally	0.0990592
"Barbara Bush"	0.0989816
Christine	0.0988718
Shevardnadze	0.098413
Claire	0.0980424
Rebecca	0.097276
Elena	0.09711
Marie	0.0966809
Ruehe	0.0964035
Annette	0.0958663
Ida	0.0956735
Renee	0.0944256
becky	0.094407
Granic	0.094147
Guterres	0.0940631
Nora	0.0940563
Melanie	0.0935769
Susie	0.0935091
"Catherine Keener"	0.0934255
Bianca	0.0933168
"Leigh Ann"	0.093187
Denise	0.0930735
Scalfaro	0.0930204
Livia	0.0929361
Turturro	0.0928225
gloria	0.0927433
Stoyanov	0.0923955
Marguerite	0.0921433
Naomi	0.091946
Martha	0.0915973
Arlene	0.0913369
Esposito	0.0909729
Alatas	0.0904797
Juncker	0.0896247
Rong	0.0894866
Caroline	0.0894793
Dee	0.0894213
Marge	0.0893606
Gail	0.0893133
"Prime Minister Kamal El-Ganzouri"	0.0892784
"Chief Executive Tung Chee-hwa"	0.0883523
Insulza	0.0883341
Moratinos	0.0881742
Klima	0.0881143
Fino	0.087914
Beatrice	0.0877739
"Cindy McCain"	0.0876792
Brittan	0.087655
Katherine	0.0874502
"Ivan Kostov"	0.0871121
Sarah	0.0870717
))
(Azizan (desc 1954.18) (sims
Ummi	0.229537
Tevanian	0.17154
Yazdi	0.144933
Fassett	0.140506
Colburn	0.129864
"Anita Hill"	0.127191
Ratner	0.126129
Jovanovic	0.12579
Schmalensee	0.121123
Glaser	0.11945
Barksdale	0.117323
Hodler	0.116011
Maritz	0.114465
Felten	0.111658
Hamlin	0.11048
Reimer	0.106228
Jarrell	0.101377
Rosen	0.101365
Ruehe	0.100176
Kehoe	0.099848
Allchin	0.0992726
Alioto	0.0970809
Shayler	0.0966359
Hiett	0.0963018
Myhrvold	0.0949056
Eizenstat	0.0922469
Willey	0.0921376
Goldin	0.0914077
Bronfman	0.089147
Jenoff	0.0885438
Kodikian	0.0883112
Kushner	0.0873932
Kiareldeen	0.0873219
Carrera	0.0866688
LOUIMA	0.0857922
Guidry	0.0852207
Farber	0.0850231
Musa	0.0844352
"Maturino Resendiz"	0.0833503
Horner	0.0826276
DeFrantz	0.0821398
Ritter	0.082101
Mohamed	0.0820471
"de Charette"	0.0815157
Rudman	0.0807204
Meskini	0.0803851
Hitchens	0.0802961
Kulikov	0.0796742
Maurizi	0.0795408
Ickes	0.0794598
Demaci	0.0793392
Zamora	0.0784109
Cornyn	0.0783891
Breuer	0.0781567
Jayakumar	0.0781151
Eubanks	0.077971
Gosper	0.0779195
Rodionov	0.0774273
Gangelhoff	0.0764116
"Ruiz Massieu"	0.0760371
Currie	0.0750017
Caddell	0.0736589
Seselj	0.0732962
Kabariti	0.0726255
Sanan	0.0725442
Pugh	0.0725389
Gwen	0.0724792
LaPierre	0.0724644
McDougal	0.0723838
Flemmi	0.0722923
Finkel	0.0719023
Krasniqi	0.0716049
Krugman	0.0714531
Trulock	0.071233
Napolitano	0.0711836
Wilhelm	0.0710386
Majko	0.0695712
Blumenthal	0.0695027
Yastrzhembsky	0.0691517
Korman	0.0691027
Kasyanov	0.0688762
Mercurio	0.0684886
Wolfson	0.0684726
Abdel-Meguid	0.0683832
Kerasiotes	0.0681747
Mudge	0.0676218
"Kathleen Willey"	0.0675759
Imperatori	0.0674287
Duisenberg	0.0672526
"Caroline Kennedy"	0.0672136
Ashrawi	0.0670268
Harris-Lewis	0.0664613
"John Cornyn"	0.0657846
Kono	0.0654032
Berlusconi	0.0653667
Kazhegeldin	0.0653039
Rossotti	0.0652263
Ota	0.0649567
Falater	0.0649519
Wenger	0.0649188
Bruton	0.0649063
Weldon	0.0648817
Shriver	0.0648687
Gravano	0.0647721
Advani	0.0647578
Atwood	0.0647394
Bulatovic	0.0645159
Vollebaek	0.0644019
Harmoko	0.0643103
Faget	0.0642083
"Earnhardt Jr."	0.0637413
Tripp	0.0637063
Monahan	0.0637015
Lamberth	0.063552
Portnoy	0.0633963
Carollo	0.0633741
Podesta	0.0631046
Singson	0.0625166
Fech	0.0624666
Martorano	0.0622615
Volpe	0.062176
Belo	0.0621471
Buckingham	0.061971
Waigel	0.0616689
Mikhailov	0.0616409
Kornberg	0.0614112
Stayner	0.0613668
Barshefsky	0.0613369
Akayev	0.061146
Denktash	0.0610816
Neulander	0.0608916
Kasoulides	0.0608406
Flynt	0.0608344
Hybl	0.0607176
Koskinen	0.0606765
Ciampi	0.0605887
Choate	0.0605564
Stroyev	0.0604901
Garcetti	0.0603791
Havelange	0.0603725
DERSHOWITZ	0.0603172
Rocha	0.0602248
Moratinos	0.0601081
Greenwald	0.0600355
Bhattarai	0.0596819
Boueiz	0.059666
"Linda Tripp"	0.0596297
Huang	0.0594252
Kalejs	0.0594051
Alarcon	0.0593705
Yoon	0.0593686
Steele	0.0593382
ISSEL	0.0593187
Yavlinsky	0.059127
Markovic	0.0590874
Sorensen	0.0589746
EP	0.0588686
Freeh	0.0587526
"De Klerk"	0.0587371
Blackthorne	0.0584842
Sutiyoso	0.0583469
Waugh	0.0583112
Meguid	0.0582384
Ghalib	0.0581919
Rowan	0.0581183
Rais	0.0580657
DeBartolo	0.0580351
Macfarlane	0.0579578
Plavsic	0.0578552
Berenson	0.0578156
Arum	0.0577695
Mehta	0.0577491
nix	0.0577348
"Amos Wako"	0.0575611
Lehane	0.0575231
Quackenbush	0.0573289
Kajiyama	0.0573161
Imelda	0.0572192
Espinosa	0.057188
Scharping	0.0571507
Fernandes	0.0570792
"Sidney Blumenthal"	0.0569332
Arizmendi	0.0569278
Glendening	0.0568736
Schweitzer	0.0568113
Chung	0.0565247
Naumann	0.0563158
"Lee Hsien Loong"	0.0562256
"Monica S. Lewinsky"	0.0561141
Bizimungu	0.0560803
Stahl	0.0559875
Gullit	0.0559476
Shamshad	0.0559362
McGuinness	0.0558513
Rossello	0.0556448
Meissner	0.0556072
Enquirer	0.0555658
Bambang	0.0555107
Alatas	0.0554728
Klima	0.0552681
))
(Aznar (desc 5467.55) (sims
"Jose Maria Aznar"	0.219886
Lipponen	0.218172
Guterres	0.200199
Chavalit	0.199857
Ahern	0.195103
Klima	0.194163
Menem	0.193416
Deuba	0.191183
Shareh	0.18903
Kok	0.185284
Dehaene	0.184721
Komura	0.183899
Insulza	0.183239
Ikeda	0.181291
Ecevit	0.180584
Simitis	0.176773
Chuan	0.174152
Chirac	0.174116
Nazarbayev	0.173997
Ruehe	0.172873
Banharn	0.170108
Hashimoto	0.169634
Stoyanov	0.169237
Pangalos	0.168081
Kostov	0.167656
Nujoma	0.167135
Rakhmonov	0.16606
Chretien	0.165728
Schuessel	0.163922
Jospin	0.162564
Constantinescu	0.162016
Chissano	0.160902
Sergeyev	0.158831
Cem	0.158742
Meles	0.158548
Koirala	0.15815
Kuchma	0.15806
"de Charette"	0.157609
Hasina	0.157075
Prodi	0.156319
Velayati	0.155955
Demirel	0.154888
Gujral	0.15484
Azad	0.154284
Erbakan	0.154157
Goh	0.153654
Vajpayee	0.153329
Phieu	0.15316
Kabariti	0.152264
Dini	0.151768
Wolfensohn	0.151744
Blair	0.151425
Ivanov	0.151357
Ahtisaari	0.150853
Solana	0.150741
Saleh	0.150696
Kasoulides	0.149958
Camdessus	0.148177
Muluzi	0.147817
Mkapa	0.147543
Santer	0.147403
"John Major"	0.14731
Orban	0.146127
Abdel-Meguid	0.145872
"Chavalit Yongchaiyudh"	0.145787
Shevardnadze	0.145732
Mori	0.145593
Moratinos	0.145564
Granic	0.145547
Clerides	0.145485
Mbeki	0.14544
Hrawi	0.144784
Jayakumar	0.144547
Vollebaek	0.144547
Shipley	0.144357
Kharrazi	0.14371
Schroeder	0.143521
Vedrine	0.143484
Lahoud	0.143446
Hariri	0.143215
Ben-Ami	0.141298
Chiluba	0.141254
Pustovoitenko	0.140838
Buzek	0.140076
Vasile	0.139645
Boueiz	0.13933
D'Alema	0.137265
Karimov	0.137147
Obuchi	0.137055
Rifkind	0.13698
Museveni	0.136813
Gowda	0.136624
Scalfaro	0.136622
Rodionov	0.135938
Akayev	0.135922
Mordechai	0.135317
Zhu	0.135295
"John Howard"	0.135183
Yilmaz	0.134687
Peres	0.134678
Diouf	0.134524
Lukashenko	0.13435
"Chief Executive Tung Chee-hwa"	0.133665
Klestil	0.133342
Pickering	0.133306
"Than Shwe"	0.133062
Brahimi	0.132687
Kohl	0.131986
Zeroual	0.131707
Sharif	0.131162
Ogata	0.131159
Kwasniewski	0.131121
"Binyamin Netanyahu"	0.130985
Gaddafi	0.130799
Abubakar	0.130737
Aziz	0.130261
"Romano Prodi"	0.13025
Ciller	0.130064
Nzo	0.129819
Herzog	0.129697
Izetbegovic	0.129496
Pastrana	0.128436
Khaddam	0.128332
Tarawneh	0.128196
Niyazov	0.127714
"Dos Santos"	0.127662
Luong	0.127647
Kono	0.127451
Kumaratunga	0.127346
Juppe	0.127297
Zedillo	0.127262
Cardoso	0.12686
"Lionel Jospin"	0.126469
"Mesut Yilmaz"	0.126347
Weizman	0.125987
Primakov	0.125908
Rawabdeh	0.125865
Moussa	0.125569
"Bertie Ahern"	0.125287
Ciampi	0.125214
Zhirinovsky	0.125105
"Chuan Leekpai"	0.124916
Mugabe	0.124307
Stepashin	0.124041
Fino	0.123584
Samper	0.123532
Estrada	0.123344
Tung	0.123183
Mandela	0.123062
Majali	0.122697
Meguid	0.122613
Narayanan	0.122482
Zeman	0.122185
Surin	0.121999
Kiriyenko	0.121789
Khai	0.121708
Talbott	0.121686
Kinkel	0.121652
"John Bruton"	0.120795
Rabbani	0.120539
Bhutto	0.120154
Juncker	0.119964
Bondevik	0.119804
Djukanovic	0.119803
el-Ganzouri	0.119635
Portillo	0.119537
Albright	0.119508
Mubarak	0.119419
Nemtsov	0.119333
Hybl	0.119017
Frei	0.118983
Tudjman	0.118947
"Jerzy Buzek"	0.118771
Aventajado	0.118196
Obasanjo	0.11799
Tsang	0.117814
Kabbah	0.116851
"Ung Huot"	0.116534
Musharraf	0.116503
"Ivan Kostov"	0.116418
Ikimi	0.116039
Beilin	0.115647
Rugova	0.115274
Mahathir	0.114994
al-Hariri	0.114853
Advani	0.114738
"Atal Bihari Vajpayee"	0.114656
"Keizo Obuchi"	0.114477
"Benazir Bhutto"	0.114392
Qiao	0.114264
Barshefsky	0.114184
Fujimori	0.114172
"Atal Behari Vajpayee"	0.114093
"Tony Blair"	0.114089
"Bulent Ecevit"	0.1139
Bulatovic	0.113776
Annan	0.113561
Jovanovic	0.11293
Brittan	0.112796
"Jacques Chirac"	0.112599
Papandreou	0.112568
Glickman	0.112463
"Atef Obeid"	0.112277
Iliescu	0.112209
"Sher Bahadur Deuba"	0.112099
Persson	0.111892
"Necmettin Erbakan"	0.111611
Sharansky	0.111381
Scharping	0.111229
Alarcon	0.111167
"De Soto"	0.111116
Koo	0.111099
Axworthy	0.110711
Dodik	0.110625
Siazon	0.110558
"Costas Simitis"	0.110445
Aleman	0.110334
Rua	0.110311
Barak	0.110262
Alatas	0.110201
"Maung Aye"	0.110195
Arafat	0.110065
"Ehud Barak"	0.109865
Rafsanjani	0.109444
Wahid	0.109297
Khatami	0.109156
Putin	0.108888
"Valery Pustovoitenko"	0.108314
Holl	0.108294
Chaudhry	0.108285
"Wim Kok"	0.107705
Buyoya	0.10761
Bildt	0.107556
Thapa	0.107534
"Yoshiro Mori"	0.107438
"Jean Chretien"	0.107333
"William Cohen"	0.107248
Leghari	0.106425
"Phan Van Khai"	0.106306
"Lee Hsien Loong"	0.106236
Yeltsin	0.106152
Gadhafi	0.106137
Ganzouri	0.10608
"Benjamin Netanyahu"	0.105914
"Defense William Cohen"	0.105894
Netanyahu	0.105812
"Rafik Hariri"	0.10552
"Vo Van Kiet"	0.105377
Zuma	0.10458
Boutros-Ghali	0.104569
Milutinovic	0.104542
Ruggiero	0.104358
"Goran Persson"	0.104349
"Sheikh Hasina"	0.103375
al-Khatib	0.103208
Qian	0.103198
"Salim Hoss"	0.103034
Moscoso	0.10293
Fischer	0.10232
Brundtland	0.102203
Chancellor	0.102172
Howard	0.102167
"President Kim Dae-jung"	0.101882
Cohen	0.101737
Aliyev	0.101528
Patasse	0.10147
Zou	0.100805
"Bashkim Fino"	0.100794
Waigel	0.100792
"Meles Zenawi"	0.100761
"Li Peng"	0.100691
Azizah	0.100359
Moi	0.100311
Chernomyrdin	0.100186
"Hun Sen"	0.100182
Chand	0.100138
Xanana	0.100053
))
(AZT (desc 6751.9) (sims
nevirapine	0.284666
tamoxifen	0.225869
antibiotic	0.187001
Endostatin	0.186779
inhibitor	0.185937
Herceptin	0.185474
Avonex	0.182874
Ritalin	0.182167
Relenza	0.175143
TPA	0.170885
Rezulin	0.168738
thalidomide	0.167985
interferon	0.167015
Celebrex	0.166383
LIPITOR	0.165849
chemotherapy	0.164054
Zoloft	0.161617
methadone	0.161546
Prilosec	0.160198
aspirin	0.158938
Propulsid	0.154394
Phentermine	0.153239
ENBREL	0.150135
viagra	0.149679
Prozac	0.149291
medication	0.148422
therapy	0.142718
estrogen	0.13896
Claritin	0.13868
Vaccine	0.132087
steroid	0.130339
placebo	0.120709
painkiller	0.119991
mifepristone	0.119392
Erythropoietin	0.118869
Chemo	0.11824
pill	0.117006
RU-@@@	0.116223
EPO	0.115825
Pondimin	0.113972
"growth hormone"	0.111235
Xenical	0.11042
penicillin	0.109835
blocker	0.109374
GHB	0.108429
leptin	0.107423
hormone	0.107309
nitroglycerin	0.106494
acupuncture	0.105556
raloxifene	0.105089
cocktail	0.10486
Zocor	0.104318
Epogen	0.103736
contraceptive	0.101385
amphetamine	0.0997556
medicine	0.0991244
psychotherapy	0.0988641
antihistamine	0.098617
dose	0.0982689
opiate	0.0978173
melatonin	0.0976181
morphine	0.097414
fenfluramine	0.0946921
adenovirus	0.0939325
sedative	0.0927259
Taxol	0.0925325
radiotherapy	0.092324
Botox	0.0906325
Redux	0.0903825
ultrasound	0.0903677
insulin	0.0895334
tranquilizer	0.0894176
supplement	0.0893627
methamphetamine	0.0887927
antibody	0.0886686
radiation	0.088534
Valium	0.0883313
angiostatin	0.0872487
regimen	0.0867408
"electric shock"	0.0862865
Paxil	0.085018
"sleeping pill"	0.08404
ketamine	0.0840304
Fen-Phen	0.083152
"human growth hormone"	0.0828461
anti-inflammatory	0.0813004
implant	0.0805054
weight-loss	0.0804754
vitamin	0.0801704
dosage	0.0794271
vaccination	0.0792748
nicotine	0.0789602
injection	0.0775733
TCM	0.0773288
pesticide	0.0768348
anesthesia	0.0763814
"vitamin E"	0.0763381
diuretic	0.076042
"prescription drug"	0.075108
marijuana	0.0746829
Zyvox	0.0745736
ecstasy	0.0744633
cortisone	0.0739307
alcohol	0.0739275
anesthetic	0.0739207
hGH	0.0736639
dialysis	0.0713153
insecticide	0.0709511
Propecia	0.0704722
"St. John's wort"	0.0700971
fungicide	0.0697892
detoxification	0.0696455
hypnosis	0.0695898
echinacea	0.0683676
andro	0.0682495
creatine	0.0671479
Inoculation	0.0668393
counseling	0.0662975
"breast implant"	0.0658885
irradiation	0.0658531
antioxidant	0.065043
heroin	0.0647035
"vitamin C"	0.0639243
cannabis	0.0632013
MDMA	0.0630166
transplant	0.062919
lithium	0.0625686
lycopene	0.0624922
mammograms	0.0623159
"physical therapy"	0.0620743
"vitamin A"	0.0618038
herb	0.0616363
androstenedione	0.0608649
chlorine	0.0608171
"blood test"	0.0601166
remedy	0.0600135
pseudoephedrine	0.0599474
enzyme	0.0596515
"genetic engineering"	0.0595356
lifesaving	0.0594444
MTBE	0.0590607
hemophilia	0.0580484
pacemaker	0.0579374
laxative	0.0577617
angioplasty	0.0575362
laser	0.0573367
"Balanced Budget Act"	0.0566714
caffeine	0.0564039
prescription	0.0562264
cocaine	0.0561378
CPR	0.0557084
herbicide	0.0555964
glaucoma	0.05539
stanozolol	0.055207
acetaminophen	0.0549334
Vioxx	0.0547333
"folic acid"	0.0545494
toxin	0.0540677
Contraception	0.0540416
narcotic	0.0537125
sedation	0.0535756
kit	0.0532794
tablet	0.0531677
telomerase	0.0530864
"birth control"	0.0529541
"wonder drug"	0.0519895
stimulant	0.0516191
oxygen	0.0515547
clenbuterol	0.0515063
Tylenol	0.0513508
inhaler	0.0507165
"surgical procedure"	0.0501636
ethanol	0.0500918
Alcoholism	0.0500348
"rheumatoid arthritis"	0.0500065
"lethal dose"	0.0498607
condom	0.0498203
"shock therapy"	0.0494974
"essential oil"	0.0491363
pandemic	0.0491196
ibuprofen	0.0489521
defibrillators	0.0489185
Benecol	0.0488693
HIV	0.0486757
MFN	0.0485333
generics	0.048325
pharmaceutical	0.0482168
"substance abuse"	0.0479821
Osteoporosis	0.047952
hypertension	0.0478442
telemedicine	0.0477055
testosterone	0.0476235
stents	0.047619
Calcium	0.0475011
syringe	0.0474914
"prescription medicine"	0.0472362
"contact lense"	0.0472135
"nursing care"	0.0471221
massage	0.0468398
"medical care"	0.046744
))
(Aztec (desc 3593.27) (sims
Inca	0.201786
Mayan	0.135097
Khmer	0.101455
Javanese	0.0968194
Maya	0.0953634
Maori	0.0933583
Roman	0.0893083
Berber	0.088732
Zulu	0.0863944
Iroquois	0.0835522
Maasai	0.0817084
Tibetan	0.0763196
Phoenician	0.0726726
Hopi	0.0694648
druid	0.0691979
"native American"	0.0661864
Sioux	0.0639517
Breton	0.0638539
Inuit	0.0618081
Ottoman	0.0611576
Provencal	0.0598266
Kiswahili	0.0596925
Hawaiian	0.0592056
Uygur	0.0584833
Bengali	0.0557699
gamecock	0.0556214
Slavic	0.0552588
non-European	0.0543145
Scots	0.0541613
"Dirty Bird"	0.0530884
Hula	0.0527851
self-proclaimed	0.0527426
"North African"	0.0526642
Sanskrit	0.0525423
Germanic	0.0522373
Susanti	0.0520337
Swahili	0.0520179
voodoo	0.0518481
"two key"	0.0515684
Razorback	0.0515606
Mongol	0.0515583
"American Indian"	0.0513598
Polynesian	0.0511849
BASQUE	0.0509183
Wolfpack	0.0508158
Latin	0.0506865
"other @@@"	0.050633
porcini	0.0503666
Celtic	0.0502415
Athenian	0.0497281
"Middle Eastern"	0.0493019
barnyard	0.0492741
Israelites	0.0489815
Transamerica	0.0487599
"West African"	0.0487353
Wicca	0.0482436
Makah	0.0482248
Persian	0.0480592
"other six"	0.0472498
Yiddish	0.0458223
Jedi	0.0457836
"Fighting Irish"	0.0457163
Nicol	0.0456934
"Sephardic Jews"	0.0453601
Navajo	0.0452982
"Red Star"	0.0449864
gothic	0.0446858
Slovak	0.0446759
Manchu	0.0444746
Welsh	0.0444504
Cornhusker	0.0441378
"half a dozen"	0.0440543
Hausa	0.0439497
Ivorian	0.0434871
forty	0.0433925
"Tibetan Buddhist"	0.0432241
mariachi	0.0431776
Stalinist	0.0430909
Oedipus	0.0430149
"Phenix City"	0.0429843
"North Vietnamese"	0.0425922
"UNIX operating system"	0.0425757
Estonian	0.0423953
Han	0.0423947
Hebrew	0.0423888
"other eight"	0.0423254
Korean	0.0422142
Miao	0.0420614
Mohawk	0.0419939
second-most	0.0418622
golfing	0.0417165
Acadian	0.0416294
Aris	0.0416262
"Horned Frogs"	0.0411251
Shenhua	0.0410442
Haj	0.0408862
Okinawan	0.0408147
underworld	0.0407956
Eskimo	0.0406546
Afrikaans	0.0401749
Coptic	0.0401099
chanterelle	0.0400849
Scottish	0.0400374
))
(B (desc 71366.9) (sims
lbw	0.205704
C	0.171689
d	0.138147
B.	0.1145
H	0.104499
"Group @"	0.092794
e	0.0908213
G	0.0862039
"round robin"	0.085219
f	0.0777381
a.	0.077543
preliminary	0.0683457
semifinal	0.0667661
qualifier	0.065851
quarterfinal	0.0657104
"Eastern Conference"	0.0649068
standing	0.063328
match	0.0613241
"R&AMP;B"	0.0587972
tournament	0.0578095
"World Cup"	0.0566671
final	0.0564402
L	0.0560193
J	0.0557289
K	0.0552864
"Western Conference"	0.0552072
category	0.0550379
championship	0.0549852
C.	0.0542931
"Premier League"	0.0539198
league	0.0531309
"Euro @@@@"	0.0521918
O	0.0520619
Bundesliga	0.0507589
round	0.0507581
four	0.0504567
soccer	0.0503865
playoff	0.0503031
Funk	0.0498537
men's	0.0496399
runners-up	0.0495398
matches	0.0487685
Jazz	0.0481757
"cup final"	0.048101
P	0.0474419
"UEFA Cup"	0.0471976
grade	0.0469131
competition	0.0468811
"Champions League"	0.0467607
eight	0.0466584
t	0.0464362
division	0.0447792
NFC	0.0441521
slalom	0.0441458
s	0.0440543
Pac-@@	0.0440527
"European Championship"	0.0438991
Five	0.0432968
Z	0.0431791
ACC	0.0430951
Three	0.0428902
m	0.0428192
winner	0.042634
cup	0.042449
r	0.0424112
Q	0.0422723
pool	0.0419777
Six	0.0419302
blue	0.0419268
gospel	0.0418296
freestyle	0.0417302
hip-hop	0.0417104
sprint	0.0416891
W	0.041517
berth	0.0408391
ranking	0.0407722
opener	0.0406971
"long jump"	0.0406573
soul	0.0405833
"Davis Cup"	0.0404857
class	0.0404024
medal	0.0402187
Super-G	0.0402096
))
("B share" (desc 7739.54) (sims
B-shares	0.284362
A-shares	0.217747
"ordinary shares"	0.158736
"common shares"	0.149668
"municipal bond"	0.137265
"Stock Exchange of Thailand"	0.127029
"preferred shares"	0.124428
"futures contract"	0.122712
"Treasury bond"	0.122538
"Treasury bill"	0.117115
"CAC @@"	0.112778
"blue-chip stock"	0.112059
"Shanghai Composite Index"	0.108582
"Xetra Dax"	0.106655
Bovespa	0.10595
"preferred stock"	0.1051
"convertible bond"	0.100774
SSE	0.100441
DAX	0.0994881
"Composite Index"	0.0977719
"Kuwait Stock Exchange"	0.0974771
T-bonds	0.0968859
"commercial paper"	0.0942575
"common stock"	0.0889498
FTSE	0.0871747
Nikkei	0.0871486
STI	0.0869206
"Hang Seng"	0.0857889
MidCap	0.0855105
"Nikkei Stock Average"	0.0850485
"blue chip"	0.0828932
"media property"	0.0818337
bullion	0.0811522
"stock exchange"	0.0811177
BSE-@@@	0.0808368
CAC-@@	0.0807625
scrip	0.0805365
debenture	0.0802135
"Straits Times Index"	0.0790405
"FTSE @@@"	0.0778128
"Industrial Index"	0.0776745
dinar	0.0776522
industrials	0.0768284
Bourse	0.0765436
"Hang Seng Index"	0.0745579
FOREX	0.0744276
Stocks	0.0740453
"investment fund"	0.073957
"debt security"	0.0737068
equity	0.0735043
"Karachi Stock Exchange"	0.0729814
"Hang Seng China Enterprises Index"	0.0728002
"Philippine Stock Exchange Index"	0.0714301
"Emas Index"	0.0707392
"bond price"	0.0701256
"Straits Times Industrials Index"	0.0700223
after-hours	0.069329
pan-European	0.0692518
FT-SE	0.0691385
zloty	0.0691151
"mutual fund"	0.0690559
CAC	0.0685812
PLDT	0.068361
"New Zealand dollar"	0.0677089
Telecom	0.0671581
sub-index	0.0669102
"options contract"	0.0668051
"Philippine Stock Exchange"	0.0667516
"retail sale"	0.0662287
"junk bond"	0.0659272
derivative	0.065589
receipt	0.0655264
"small cap"	0.0654559
IPC	0.0646273
"Dow Jones Industrial Average"	0.064394
STOXX	0.0641615
"investment trust"	0.0637822
sharemarket	0.0637467
DSE	0.0637233
"initial public offering"	0.0634621
Eurobond	0.0630188
"stock option"	0.0628781
"Philippine peso"	0.0627504
"Second Board Index"	0.0626685
"consumer goods"	0.0626667
"Kenyan shilling"	0.0619555
blue-chips	0.0614348
rupiah	0.0614031
interbank	0.0613884
"S&AMP;P"	0.0611861
Eurobonds	0.0611653
"bond issue"	0.0610218
HSI	0.06065
Sensex	0.0604587
physicals	0.0603456
"producer price"	0.060343
"initial offering"	0.0602558
ruble	0.0600852
commodity	0.0599849
"foreign exchange"	0.0597553
"property right"	0.059609
Nasdaq	0.0593873
"stock market"	0.0593036
"Nairobi Stock Exchange"	0.0591535
"Australian dollar"	0.0590613
KSE	0.0588842
peso	0.0583342
"retail price index"	0.057632
ECU	0.0570744
T-bill	0.0569783
"postage stamp"	0.0568817
"Weather Information"	0.0567307
euros	0.0564941
"growth stock"	0.0561956
"real estate"	0.0561195
capitalization	0.0559345
PSE	0.0558684
"national income"	0.0557305
"futures price"	0.0556025
"life insurance"	0.0554716
"Rio Tinto"	0.0548269
AMP	0.054755
"building permit"	0.054505
"Commonwealth Bank"	0.054464
Shenzhen	0.054349
"Shanghai Stock Exchange"	0.0541954
"Treasury note"	0.0539991
"Dow Jones"	0.0538608
"crude oil"	0.0537169
portfolio	0.0535018
"state-owned enterprises"	0.0533696
"Hang Seng China-Affiliated Corporations Index"	0.0533055
"bank note"	0.0530132
"Tokyo Stock Price Index"	0.052854
"Dhaka Stock Exchange"	0.0528381
"precious metal"	0.0527795
"retail price"	0.0526576
"Commonwealth Bank of Australia"	0.0524203
crude	0.0523599
BHP	0.0522742
Telstra	0.0521768
"savings bond"	0.052112
"Fletcher Energy"	0.0520527
"US dollar"	0.0515545
Westpac	0.0512393
"currency unit"	0.0510171
baht	0.0509959
Shenhua	0.0509708
"pork belly"	0.0509362
business-to-business	0.0506989
"London Stock Exchange"	0.0504577
"passenger car"	0.0503941
"HSBC Holdings"	0.0503787
"bond market"	0.0501455
"News Corp"	0.0501356
"Deutsche Mark"	0.0499643
"Zimbabwean dollar"	0.0496296
ringgit	0.0496263
"bank card"	0.0496111
"state enterprise"	0.0494545
SOEs	0.0493938
Telecoms	0.0491111
"U. S.dollars"	0.0490742
"one share"	0.0488909
"industrial enterprise"	0.0482255
"Weighted Price Index"	0.0481281
"asset value"	0.047949
IOU	0.0479458
"over @@@ points"	0.0476864
"hot stock"	0.0475259
"South Korean won"	0.0475031
state-owned	0.0472772
shekel	0.0472624
"Mexican peso"	0.0472464
"heating oil"	0.0472132
KLSE	0.0471555
"Singapore dollar"	0.0471387
"bank deposit"	0.0470731
"finance company"	0.0470237
Composite	0.0469537
"Berkshire Hathaway"	0.0463432
brokerage	0.0463393
rand	0.0462181
mortgage	0.0461755
rouble	0.0460877
repurchase	0.0459753
"Canadian dollar"	0.0458271
"Air New Zealand"	0.0457488
benchmark	0.0457486
shilling	0.0457051
"futures market"	0.0456639
"National Australia Bank"	0.0455999
Janus	0.0453422
"Carter Holt Harvey"	0.0452664
"net profit"	0.0452631
escrow	0.0451915
"Kuala Lumpur Stock Exchange"	0.0451625
reais	0.045133
"motor vehicle"	0.0451262
"special drawing rights"	0.0448364
))
("B vitamin" (desc 1150.3) (sims
folate	0.298332
"vitamin A"	0.275003
"folic acid"	0.23625
potassium	0.219071
"vitamin C"	0.20034
Calcium	0.186383
"vitamin E"	0.180595
magnesium	0.153289
B@@	0.139318
antioxidant	0.131634
"vitamin D"	0.130658
selenium	0.129719
vitamin	0.125106
carotene	0.122433
phosphorus	0.110414
lycopene	0.108212
Boron	0.10622
"fatty acid"	0.102415
carbohydrate	0.101708
iodine	0.0932203
Zinc	0.0904767
calory	0.0862816
"amino acid"	0.0757243
"essential oil"	0.0751009
nutrient	0.0711012
sodium	0.0709167
impurity	0.0682449
acetaminophen	0.068223
"Ginkgo biloba"	0.0679365
B@	0.0672527
lactose	0.0655943
"elbow room"	0.0653412
"growth hormone"	0.0650995
cadmium	0.0625287
fluoride	0.061614
E.	0.0606431
ephedra	0.0580669
B-@	0.0533893
calorie	0.0522105
ibuprofen	0.0520087
"hot stock"	0.0511556
sulfur	0.0505775
starch	0.0498626
manganese	0.0487047
"fish oil"	0.0476673
chromium	0.0475688
sweetener	0.0464056
D.	0.0457183
antacid	0.0452759
nourishment	0.0435635
nitrogen	0.043492
"Starr Report"	0.0425189
cellulose	0.0423976
nitrate	0.0421155
agave	0.0418054
"life vest"	0.0407648
microorganism	0.0404958
e-BOOKS	0.0403701
))
("B&AMP;B" (desc 1188.82) (sims
bed-and-breakfast	0.112479
"gambling casino"	0.0910134
smooch	0.0760662
"Greek Revival"	0.0744152
"day care center"	0.0731347
"summer house"	0.0711062
RV	0.0683663
"cabin cruiser"	0.067218
"tea house"	0.0670573
OED	0.066967
brownstone	0.0648269
sawmill	0.0631765
"row house"	0.0631556
pizzeria	0.0628072
"machine shop"	0.0627488
"boat race"	0.0627479
"jewelry store"	0.0626968
two-night	0.0612958
manor	0.0596727
"first school"	0.0593981
"rest day"	0.0593351
"sugar refinery"	0.058041
eateries	0.0579645
bookshop	0.057961
"beauty shop"	0.0577288
"boarding house"	0.0565935
"liquor store"	0.0564807
Hazzard	0.0561656
"filling station"	0.056062
dealership	0.0550002
one-night	0.053788
"Dairy Queen"	0.0535486
"beauty salon"	0.0532848
domesticity	0.0530128
junkyard	0.0529711
"family unit"	0.0525175
egghead	0.0522544
"computer business"	0.0521849
"pizza parlor"	0.052154
bed-and-breakfasts	0.0520896
kennel	0.052029
"American Football League"	0.051986
"Third Watch"	0.0517885
"bus line"	0.0517284
pawnshop	0.051724
"fortune cookie"	0.0516041
four-night	0.0514964
delicatessen	0.0513818
"medical practice"	0.0513714
Webcam	0.0512866
"coffee shop"	0.0511308
"ball club"	0.0509808
"law practice"	0.0509579
nook	0.0507747
"oil business"	0.0507583
"candy store"	0.0505103
"suspension bridge"	0.0504867
"stock certificate"	0.0502924
"landscape painting"	0.0501343
bistro	0.049967
Stagecoach	0.0498847
dispensary	0.049816
speakeasy	0.0497901
"trading post"	0.0497864
hostel	0.0497467
"three schools"	0.0494394
"sales outlet"	0.0493029
"boarding school"	0.0490464
subgenre	0.0490169
drugstore	0.0486717
NSC	0.0485081
"Export Processing Zones"	0.048376
WordPerfect	0.0483664
"butcher shop"	0.0482621
"beach house"	0.048153
"snow leopard"	0.0480753
"gasoline station"	0.0479477
sanitarium	0.0478177
"tissue paper"	0.0476999
"studio apartment"	0.0476876
"car door"	0.0476768
wildcard	0.0476652
"Miller Park"	0.0476365
hypermarket	0.0476271
Hotlines	0.0475099
"sphere of influence"	0.0474506
slaughterhouse	0.0474457
backdoor	0.0474195
"French door"	0.047116
clothes	0.0471077
Sim	0.0469773
walk-up	0.0469085
Beatle	0.046881
abattoir	0.0468567
"coffee bar"	0.0468383
"toy store"	0.0467589
hyphen	0.0467125
GMA	0.046699
CRT	0.0465764
racehorse	0.0463788
"bank vault"	0.0463319
"clothing store"	0.0460466
wistfulness	0.0455256
Minuet	0.0454812
Miata	0.0453809
"data link"	0.0452981
foundry	0.045168
"general store"	0.0449617
first-grader	0.0449065
"hunting ground"	0.0446821
"service agency"	0.0445424
outhouse	0.0444746
AFL	0.0444523
supplicant	0.0444068
"New York Film Festival"	0.04437
"Mac Suzuki"	0.0443174
"time machine"	0.0442602
Brasserie	0.0441658
hospice	0.0440331
"pen pal"	0.0440268
Galleria	0.0439946
"steam locomotive"	0.0437241
hotel-casino	0.0436656
"Polo Grounds"	0.0435298
houseboat	0.0434636
bloodletting	0.043384
"snack bar"	0.0432439
crusher	0.043242
clunker	0.0431739
"funeral home"	0.0431588
"bricks and mortar"	0.043136
"music school"	0.0431166
"steel mill"	0.0430425
"sea lane"	0.0429712
Americorps	0.0428765
"medical institution"	0.0428513
"ranch house"	0.0426845
"rooming house"	0.0426317
pick-and-roll	0.0426095
"Bordeaux wine"	0.0425491
snowplow	0.0425183
absolutes	0.0424483
Cosmo	0.0423505
Scottie	0.0423225
obit	0.0421479
taxicab	0.0420287
saloon	0.0419451
"basketball season"	0.0419327
Oriole	0.0418988
wage-earner	0.0418386
livery	0.04172
nightspot	0.0416651
possiblity	0.0416391
synopsis	0.0416309
"file cabinet"	0.041595
looker	0.0415686
"brokerage account"	0.0415264
"service station"	0.0414632
chaebol	0.0414032
collegiality	0.0412886
tannery	0.0412786
daycare	0.0412745
"Field Poll"	0.0411867
EPZs	0.0411679
"recording studio"	0.041132
"Reagan Democrats"	0.041117
moisturizer	0.0409941
"elbow room"	0.0409836
alderman	0.0409325
"preparatory school"	0.0408776
Marina	0.0408052
zinger	0.0408036
half-dozen	0.0407589
"nursery school"	0.04069
"day camp"	0.0406881
mailman	0.040675
noone	0.0406692
"polling place"	0.0406527
"minor-league team"	0.0405934
optometrist	0.0405539
"computer store"	0.0405509
"music teacher"	0.0405464
"tone of voice"	0.0405175
closers	0.0401914
teahouse	0.0401226
Steakhouse	0.040098
chalet	0.0400944
))
("B&AMP;W" (desc 2171.99) (sims
Starzz	0.0954644
Rusch	0.0875072
reefer	0.0784559
"Mike Sirotka"	0.0767921
"Jamey Wright"	0.0767735
"Francisco Cordova"	0.0765421
"Chen Gang"	0.0764315
NYT@	0.0760033
"Dustin Hermanson"	0.074581
"Tom Candiotti"	0.0740679
Webcam	0.0737438
"R.J Reynolds"	0.0735247
"Steve Parris"	0.0714751
x@@	0.070549
"Ong Ewe Hock"	0.0692922
"Jeff Weaver"	0.0686591
"book jacket"	0.0673701
Astacio	0.0665199
"Jon Lieber"	0.0658755
Kile	0.0658706
closeup	0.0654887
"Pat Rapp"	0.0653619
"Pedro Astacio"	0.0652744
"Shawn Estes"	0.0652167
"Rashid Sidek"	0.0651911
"Javier Vazquez"	0.0640851
woodcut	0.0639756
Hentgen	0.0631149
Lieber	0.0623189
"Simon Archer"	0.0621259
"BRIAN MEADOWS"	0.0615279
"Xia Xuanze"	0.0613314
Radke	0.0612137
"Andy Benes"	0.0608785
"Scott Karl"	0.0598756
"Saturday Evening Post"	0.0594757
"Chris Holt"	0.0590698
Hempstead	0.0588404
"Peter Nicol"	0.058239
"Ji Xinpeng"	0.0581671
Candiotti	0.0578624
thumbnail	0.0567393
"Heryanto Arbi"	0.0565238
bethel	0.0561967
"Paul Johnson"	0.0561088
"Joko Suprianto"	0.0559034
"Brian Moehler"	0.0555335
"Brad Radke"	0.0554137
"Dave Mlicki"	0.0553057
gouache	0.0552604
"Jason Schmidt"	0.0549596
"John Snyder"	0.0546947
"Zoran Primorac"	0.0545334
"Jesus Sanchez"	0.0541922
"Russ Ortiz"	0.054122
gamecock	0.0539542
Wildwood	0.0538183
sidebars	0.0537012
NYT@@	0.0535695
daguerreotype	0.0535119
"Eric Milton"	0.0531738
"Peter Rasmussen"	0.0531354
pinup	0.0530823
"mug shot"	0.053056
"STEVE WOODARD"	0.0528521
"Juan Guzman"	0.051044
"Saint Louis"	0.0509519
"Budi Santoso"	0.0509338
"Fighting Irish"	0.0508175
"Northwest Territories"	0.0508025
"Red Raiders"	0.0501641
"Jorgen Persson"	0.0499614
"Appalachian State"	0.049767
Vazquez	0.0495072
"Darryl Kile"	0.0487903
Polaroid	0.0483777
"Partizan Belgrade"	0.048354
inset	0.0480309
Lawrenceville	0.0478006
"John Burkett"	0.0476081
"up to eight"	0.0474363
Uniondale	0.0472108
"Mark Clark"	0.0469892
"David Palmer"	0.0468456
Navarro	0.0464651
FSA	0.0464053
Remlinger	0.0462597
NAU	0.0462157
CALIF	0.0461255
Benes	0.0455948
"Qin Yiyuan"	0.0451104
"Jean-Philippe Gatien"	0.0450304
"baseball glove"	0.0449797
"Omar Daal"	0.0448606
"Chris Carpenter"	0.0443858
"Gong Zhichao"	0.044357
"Taufik Hidayat"	0.0442425
"Camilla Martin"	0.044161
"Scarlet Knights"	0.0438343
PITTS	0.0438332
Photoshop	0.043674
"Arkansas State"	0.0435372
"first light"	0.0435283
Rapp	0.0432375
"Ismael Valdes"	0.0430593
"Jim Parque"	0.0430564
"Yellowstone National Park"	0.0428312
"Wilson Alvarez"	0.0427894
"weather map"	0.0426295
Dreifort	0.0424977
Daal	0.0424899
"Joe Gibbs"	0.0424649
now-famous	0.0424599
"won @@-@@"	0.0423725
Valdes	0.042362
Mercker	0.0423058
cartoonish	0.0422314
cortisone	0.0419442
"South Bend"	0.0419147
Razorback	0.041871
"Mark Gardner"	0.0417214
"Kevin Tapani"	0.0416906
"Livan Hernandez"	0.0416888
"National Geographic"	0.0412105
"Dai Yun"	0.0410208
"Yang Ying"	0.040772
Parris	0.0406051
"Montana State"	0.0404888
"John Galliano"	0.040436
YankeeNets	0.0403653
Salem	0.0402207
"this @@@@"	0.0401821
))
(B-@ (desc 4705.57) (sims
B-@@	0.190832
TU-@@@	0.167792
F-@@@	0.160561
F-@@	0.13458
C-@@	0.131086
bomber	0.120725
B@	0.117405
A-@	0.116243
"Joint Strike Fighter"	0.115701
F-@	0.108535
MiG-@@	0.107692
C-@@@	0.107625
C-@	0.104277
fighter-bombers	0.0998804
A-@@	0.0963344
A@@@-@@@	0.0943028
F-@@s	0.0922684
B-@s	0.0909747
Harrier	0.0890876
RAF	0.089062
SU-@@	0.0882413
B@@	0.0879922
AWACS	0.0842818
"Airbus A@@@"	0.0842318
"attack aircraft"	0.0830954
"Royal Air Force"	0.0828255
C-@@@J	0.0822931
Prowler	0.0811387
"U.S. Air Force"	0.080561
stealth	0.080335
"American plane"	0.0775112
A@@@	0.0759544
osprey	0.0750908
Il-@@	0.074747
Mig	0.0745926
"blue angel"	0.0742526
X-@@	0.0734987
gunship	0.0734545
warthog	0.0724628
glider	0.0721626
AN-@@	0.0719876
folate	0.0701993
Apache	0.067845
kamikaze	0.0674192
airforce	0.0672208
"aircraft carrier"	0.0670993
"Airbus @@@"	0.0669204
MD-@@	0.0665039
reconnaissance	0.0662887
turboprop	0.0658754
DC-@@	0.065815
tomcat	0.0657933
"Cessna @@@"	0.0642051
Cessna	0.0639671
"fighter aircraft"	0.0637465
"Gulf Air"	0.0635805
T-@@	0.0632973
warship	0.0630207
"folic acid"	0.0629663
Concorde	0.0628711
"Air France Concorde"	0.0626145
Concordes	0.0593768
Apaches	0.0589317
tanker	0.058359
A-@@@	0.057757
interceptor	0.0577234
"Korean Air"	0.057494
warplane	0.0570697
torpedo	0.0568776
"Delta @"	0.0563761
"jet plane"	0.0562608
"Kenya Airways"	0.0558181
A@XX	0.0557858
P-@	0.0554851
NMD	0.0551549
USAir	0.0543494
"Indian Air Force"	0.0537709
NATO-led	0.053767
"Air Force Reserve"	0.0536948
"B vitamin"	0.0533893
Learjet	0.053371
warplanes	0.0531239
"belly dancer"	0.0527318
THAAD	0.0521394
"container ship"	0.0520201
"passenger ship"	0.0509262
"China Airlines"	0.05032
airship	0.0500536
DC-@	0.0499649
"intercontinental ballistic missile"	0.0490859
"weapons system"	0.0490611
"National Missile Defense"	0.0488773
slurry	0.0480297
Comair	0.047932
thunderbolt	0.0476987
magnesium	0.0472162
jetliner	0.046952
biplane	0.0467614
MiG-@@s	0.0466639
airliner	0.046529
motherboards	0.0461931
R.E.M	0.045782
"Alaska Airlines"	0.0448718
"attack submarine"	0.0446288
"Islamic Revolution Guards Corps"	0.0445978
"Indian Airlines"	0.0445733
double-decker	0.0441874
Swissair	0.0437931
"jet engine"	0.0437289
"Southwest Airlines"	0.0435927
Hercules	0.0435603
drone	0.04355
"surface ship"	0.0431983
"National Guard"	0.0431307
"cluster bomb"	0.0431046
squadron	0.0430832
"Eric Rudolph"	0.0430525
"hot-air balloon"	0.0430177
"communications satellite"	0.0426383
IAF	0.042629
REM	0.042477
"Indonesian Military"	0.0419022
enlistee	0.0417372
pallbearer	0.0417139
Orion	0.0417032
airmen	0.0415343
DC-@s	0.0413579
endeavour	0.0412379
"vitamin A"	0.0411012
fumigation	0.0410331
"Islamic Jihad"	0.0409211
"Polar Lander"	0.0409003
chinook	0.0408653
Mirage	0.0404122
readying	0.0402457
"U.S. Army"	0.0402329
"thermonuclear warhead"	0.0401744
))
(B-@@ (desc 9277.04) (sims
B-@	0.190832
bomber	0.160994
F-@@	0.146268
F-@@s	0.131191
B-@s	0.128053
MiG-@@	0.126951
fighter-bombers	0.124292
gunship	0.115387
TU-@@@	0.115386
Apaches	0.112334
B@@	0.10917
F-@@@	0.108796
Prowler	0.105617
helicopter	0.104551
Learjet	0.102736
warplane	0.100681
"Cessna @@@"	0.100122
C-@@	0.099053
"American plane"	0.0989669
MiG-@@s	0.0986161
aircraft	0.098198
A-@@	0.0964815
MD-@@	0.0940463
warship	0.0921078
Apache	0.0916947
C-@@@	0.0916174
warplanes	0.0896855
Cessna	0.0884683
airliner	0.0882699
jet	0.0870704
glider	0.0864999
submarine	0.0862507
AN-@@	0.0862017
"Air France Concorde"	0.0853524
fighter	0.0846095
turboprop	0.083809
chopper	0.0834509
"attack aircraft"	0.0819459
"Airbus @@@"	0.0809502
Il-@@	0.0806598
SU-@@	0.0805127
tomcat	0.0799473
stealth	0.0798205
"blue angel"	0.0785438
"Airbus A@@@"	0.0778132
RAF	0.0776234
"Royal Air Force"	0.0773053
osprey	0.0770729
DC-@	0.0760752
reconnaissance	0.0755106
airmen	0.0750343
tanker	0.0750275
airplane	0.0749869
missile	0.073934
A@@@	0.0738655
DC-@@	0.0732948
A@@@-@@@	0.0726579
jetliner	0.0718206
Mig	0.0718093
"EgyptAir Flight @@@"	0.0691827
MiGs	0.0690766
"Air Force"	0.0685817
"jet plane"	0.0683896
T-@@	0.0683762
squadron	0.06679
Harrier	0.0663308
Boeing	0.0662847
"container ship"	0.0658432
F-@	0.0655897
RCN	0.0654735
A-@@@	0.0653067
Concorde	0.0643841
destroyer	0.0638717
shuttle	0.0636088
"Alaska Airlines Flight @@@"	0.0634892
Concordes	0.0633369
"U.S. Air Force"	0.0600483
artillery	0.0597919
biplane	0.0588599
"hot-air balloon"	0.0585929
airforce	0.0582395
"USS Enterprise"	0.0576607
blimp	0.0573876
"Flight @@@"	0.0573352
"Delta @"	0.0563554
Atlantis	0.0560749
launcher	0.0546553
marine	0.0543315
spacecraft	0.0541919
AWACS	0.0539561
tugboat	0.0538606
"aircraft carrier"	0.0534744
freighter	0.0534189
"TWA Flight @@@"	0.0530719
U@	0.052842
frigate	0.0526686
"fighter aircraft"	0.0521091
"Flight @@@@"	0.0519172
"Joint Strike Fighter"	0.0518012
Hornet	0.0508833
EgyptAir	0.0504772
navy	0.0501461
kamikaze	0.0499009
barge	0.0498851
aerial	0.0498323
interceptor	0.0497597
"electronic warfare"	0.0495689
JAT	0.0494691
"cargo ship"	0.0494035
folate	0.0493879
commando	0.0485836
"Gulf News"	0.0483978
"Smashing Pumpkins"	0.04839
A@XX	0.0483503
USAir	0.0482793
"rocket launcher"	0.0482449
pallbearer	0.0481912
"crew member"	0.0480808
"Swissair Flight @@@"	0.047912
B@	0.0477621
"cargo vessel"	0.0476153
"spy satellite"	0.047599
"Indian Air Force"	0.04759
"fire engine"	0.0475324
"Marine Corps"	0.0473388
aviator	0.0468138
astronaut	0.0464039
airman	0.0463523
infantrymen	0.0463111
battleship	0.0460017
paratrooper	0.045793
"ballistic missile"	0.0455625
co-pilot	0.0454304
"intercontinental ballistic missile"	0.0450958
"oil tanker"	0.0450761
Cruiser	0.0449106
submersible	0.0448523
crewmembers	0.0446507
Hercules	0.0446348
MKO	0.0445399
endeavour	0.0443973
diver	0.0443473
A@@@s	0.0443395
speedboat	0.0442016
"Pan Am"	0.0440762
"major-league team"	0.0435264
"railroad car"	0.0434613
"flight attendant"	0.043282
hovercraft	0.0430743
duster	0.0429705
Crane	0.0427782
Orbiter	0.042759
Fedex	0.042742
"booster rocket"	0.0424247
gunboat	0.0423953
yacht	0.0420671
C-@	0.0419874
"Ethiopian Herald"	0.0414997
"test pilot"	0.041112
servicemen	0.0408743
trawler	0.0408218
radar	0.0406233
"fire truck"	0.0405541
"freight train"	0.0405501
reservist	0.0404947
NTV	0.0402631
infantry	0.0401666
))
(B-@s (desc 935.861) (sims
A@@@s	0.209202
F-@@s	0.189681
MiG-@@s	0.168712
"American plane"	0.167386
MiGs	0.162366
Concordes	0.154327
"All-Star Games"	0.14885
Apaches	0.146195
crewmembers	0.141818
baserunners	0.136341
"container ship"	0.13243
no-decisions	0.131353
spacewalks	0.128164
B-@@	0.128053
MD-@@s	0.12447
great-grandchildren	0.1225
"base runner"	0.119506
gunship	0.117295
takeaways	0.11653
A@@@-@@@	0.116128
"fire engine"	0.11427
"Pro Bowls"	0.112472
"Ryder Cups"	0.111811
C-@@@	0.108605
faceoffs	0.107206
"major-league team"	0.105954
"jet plane"	0.10556
"No. @s"	0.104331
freebies	0.103388
upperclassmen	0.102229
pallbearer	0.102183
"fighter aircraft"	0.101637
Stealers	0.101601
"day of rest"	0.101468
starts.	0.101248
years.	0.0999341
mushers	0.0989436
"foul shot"	0.0987691
"break of serve"	0.098204
QBs	0.0977797
postseasons	0.0974392
airship	0.0971644
"bus route"	0.0962254
minicamps	0.0962121
runnings	0.0960098
TDs	0.0955935
"Final Fours"	0.0955889
airmen	0.0954157
sub-projects	0.094519
F-@@	0.0937252
"extra points"	0.09364
All-Americans	0.0927805
warship	0.0925056
"unearned run"	0.0917159
"Cy Young Awards"	0.0916419
turboprop	0.0910908
B-@	0.0909747
"subsidiary company"	0.0907958
"foster child"	0.0906019
Dutchmen	0.0900982
warplanes	0.0891257
"temporary worker"	0.0890162
"nuclear-powered submarine"	0.0889418
"three pitchers"	0.0887851
timeouts	0.087918
"British Opens"	0.0878092
icebreaker	0.0874286
Humvees	0.0861174
fighter-bombers	0.0859452
quarterfinalists	0.0851443
"political detainee"	0.0850714
firsts	0.0848785
prong	0.0848285
"oil tanker"	0.0847526
reservist	0.0846464
VMs	0.084499
frigate	0.0842495
state-level	0.0840942
drownings	0.0834431
Tunisian	0.0831744
"major league season"	0.0828735
co-leaders	0.0820143
C-@@	0.0819912
paddler	0.0819149
mini-buses	0.0817013
"personnel carrier"	0.0815197
"moving van"	0.0814389
centenarian	0.081011
tranches	0.0808488
tractor-trailers	0.080342
Condor	0.0800586
sherpas	0.0800354
squadron	0.0797401
"season ticket"	0.0794733
"enlisted man"	0.0794408
crewmen	0.0793211
"Baby Bells"	0.0789562
signees	0.0788024
"earned run"	0.0787584
transponder	0.0783671
stowaway	0.0781986
Porsches	0.0781386
destroyer	0.0778535
"aircraft carrier"	0.07764
hundredth	0.0774899
co-accused	0.0774876
"work group"	0.0773814
osprey	0.0772655
"Airbus A@@@"	0.077174
warplane	0.0770735
tanker	0.0769627
"international flight"	0.0767534
"service break"	0.0765803
games.	0.0763816
"National Guardsmen"	0.0762708
"freight car"	0.0762637
"space walk"	0.0761791
"seeded player"	0.0761521
Uliassi	0.0757001
ICBM	0.0756265
"running play"	0.0755356
"census taker"	0.0745168
taxis	0.0740741
"flight of stairs"	0.073903
"fire drill"	0.0738808
geese	0.0735378
planeloads	0.0733561
governorates	0.0733096
"fishing boat"	0.0732688
"dead body"	0.0731492
sac	0.0729124
"Iranian POWs"	0.0729
"flat tire"	0.0728769
detonator	0.0728573
enlistee	0.0728546
innings.	0.0727898
chopper	0.0727577
Il-@@	0.0727061
"pleasure boat"	0.0726684
"communications satellite"	0.0726521
SEZs	0.0725991
Prowler	0.0725101
"farm machine"	0.072421
minibuses	0.0723823
horsepower	0.0722583
"staff sergeant"	0.0720622
battalion	0.0716153
"reference work"	0.0715062
"road game"	0.0711389
Nasrin	0.0709144
"Emmy Awards"	0.0707744
crewmates	0.0707118
EPZs	0.0706728
"agenda item"	0.070635
ump	0.0705491
changeups	0.070528
cantons	0.0704842
"bullet hole"	0.0703622
top-@@	0.0702576
rollovers	0.0700604
guardsmen	0.0700303
"landing craft"	0.0699547
tarpon	0.0699546
vote-getters	0.0699291
"drilling rig"	0.0697393
truckload	0.069699
skydiver	0.0696555
deuce	0.0695853
"attack submarine"	0.0695389
"domestic flight"	0.069513
"fire truck"	0.0695124
locomotive	0.0690833
"fatal accident"	0.0690276
"safety feature"	0.0686461
"explosive device"	0.0685876
internationals	0.0685525
hostage-takers	0.0684661
"Super Bowls"	0.0682887
rebounders	0.0680812
tenths	0.0677609
"theater ticket"	0.0677366
supercomputers	0.067704
A@@@	0.0676777
Furbys	0.0676269
shredders	0.067607
"blue angel"	0.0675537
Trey	0.0675447
"insurance firm"	0.0674111
Tonys	0.06739
chimp	0.0672883
"Airbus @@@"	0.0672494
transnationals	0.0672081
"Pulitzer Prizes"	0.0669495
illegals	0.0669404
Grammys	0.0669127
"Bosnian Croats"	0.0667406
Picassos	0.0667306
"Israeli Defense Forces"	0.0665069
"attack aircraft"	0.0663749
F-@@@	0.0659359
))
(B-shares (desc 2635.95) (sims
A-shares	0.37228
"B share"	0.284362
"ordinary shares"	0.150467
T-bonds	0.133243
"convertible bond"	0.133004
"municipal bond"	0.117422
Eurobonds	0.114696
"preferred shares"	0.109203
"common shares"	0.104249
Sensex	0.100337
"blue-chip stock"	0.0985352
"preferred stock"	0.0949192
"Treasury bill"	0.0909669
Stamps	0.0894009
"Treasury bond"	0.0847709
"Fortune Global Forum"	0.0799976
"Kuwait Stock Exchange"	0.0794431
"Karachi Stock Exchange"	0.0780047
STI	0.0760324
"Treasury note"	0.0758104
"building permit"	0.075771
licence	0.0749613
Bourse	0.0746064
"parking ticket"	0.0734119
scrip	0.0728799
"blue chip"	0.0721552
"Hang Seng China-Affiliated Corporations Index"	0.0719671
CAC-@@	0.071393
sub-index	0.0700645
"work permit"	0.0697331
"common stock"	0.0681267
Stocks	0.0678422
CAC	0.0678041
"stock exchange"	0.0673539
"Philippine Stock Exchange"	0.0669231
"Nikkei Stock Average"	0.0665837
"commercial paper"	0.0664337
T-bill	0.0646851
"leading indicator"	0.0641707
DAX	0.0640694
zloty	0.0630133
MidCap	0.0629682
"Composite Index"	0.0624976
"Nairobi Stock Exchange"	0.061412
"Hang Seng"	0.0606205
Bovespa	0.0592057
"producer price"	0.0582436
"Straits Times Index"	0.0579938
"FTSE @@@"	0.0579102
Eurobond	0.057264
"junk bond"	0.0570478
FT-SE	0.0567315
"CAC @@"	0.0564915
"more than @ billion yuan"	0.055426
Ltd.	0.0553746
"Straits Times Industrials Index"	0.0553559
"Tokyo Stock Price Index"	0.0552246
SSE	0.0552077
indices	0.0548756
"bond issue"	0.0541953
"investment trust"	0.0537956
blue-chips	0.0531074
"special drawing rights"	0.052888
"equity fund"	0.0526334
"trial balloon"	0.052105
bullion	0.0521034
"investment fund"	0.0520233
"Dow Jones Industrial Average"	0.0518301
"Zimbabwe Dollars"	0.0512306
"Xetra Dax"	0.0506328
HSI	0.050465
"initial public offering"	0.0504182
"small cap"	0.0502165
Janus	0.0501079
"more than @@ billion US dollars"	0.0500676
"Brierley Investment"	0.0500624
"Dhaka Stock Exchange"	0.0500182
"Philippine Stock Exchange Index"	0.0495574
China.com	0.0491899
FTSE	0.049062
"Shanghai Composite Index"	0.0490306
"consumer goods"	0.0490179
Projects	0.0488013
"computer equipment"	0.0487023
STOXX	0.0486263
"Deutsche Mark"	0.0485543
"identity card"	0.0485522
debenture	0.048544
"Fletcher Energy"	0.048405
"Stock Exchange of Thailand"	0.0482194
"US dollar"	0.0481146
"American plan"	0.047705
"postage stamp"	0.0474033
"Special Economic Zones"	0.0469426
KSE	0.0469107
"liquefied petroleum gas"	0.0468893
advisories	0.0465392
fatwa	0.0463228
"Millennium Dome"	0.0462998
DSE	0.0460108
pataca	0.0459503
"Pudong International Airport"	0.0458017
"bank note"	0.0452902
PPI	0.0451029
yearling	0.0450022
"bank deposit"	0.0448936
Nikkei	0.0441415
dinar	0.0440768
physicals	0.0440592
ECU	0.0439973
Geiger	0.0433422
PLDT	0.0431569
invoice	0.0430619
"retail price index"	0.0430311
"Shanghai Stock Exchange"	0.0429442
metical	0.0429112
palladium	0.0427184
industrials	0.0427053
shekel	0.0426061
AmCham	0.0424821
Ltd	0.0423637
BHP	0.0423174
"juvenile delinquency"	0.042115
"life insurance"	0.0420278
"one million dollars"	0.0419037
"dollar amount"	0.0418997
"washing machine"	0.041788
"cubic meter"	0.0417172
"Hang Seng China Enterprises Index"	0.0416451
"almost $@@ billion"	0.0415947
"futures exchange"	0.0415857
"securities market"	0.0415614
RAMBUS	0.0415599
VND	0.0415038
"Rio Tinto"	0.0414948
"laser printer"	0.0414521
timepiece	0.0413298
"precious metal"	0.0413152
"white paper"	0.0413098
"certificate of deposit"	0.0411975
"consumer credit"	0.0411576
"Singapore dollar"	0.0410988
"Hang Seng Index"	0.0407626
"Weighted Price Index"	0.0407589
"financial organization"	0.0407379
"road show"	0.0407258
"fig leaf"	0.0407204
"five billion yuan"	0.0405664
"Vanguard Index @@@"	0.0402436
"Kuala Lumpur Stock Exchange"	0.0400623
))
(B. (desc 8117.48) (sims
a.	0.168792
D.	0.133824
C.	0.117862
B	0.1145
H.	0.107873
O.	0.0985505
C	0.0905055
p.	0.0857437
K.	0.0789928
J.	0.0715431
d	0.0705633
E.	0.0704877
g.	0.0695682
T.	0.065374
F.	0.0614054
G	0.0591954
H	0.0580815
R.	0.0562817
S.	0.0515049
Q.	0.0504595
J	0.0451223
"hepatitis B"	0.0449031
Z	0.0427842
I.	0.0425693
"Group A."	0.0425226
"Group B."	0.0416763
e	0.0412576
C@	0.040312
))
(B.A (desc 2523.34) (sims
"bachelor's degree"	0.387119
M.A	0.356337
"master's degree"	0.323275
doctorate	0.290591
Ph.D	0.274291
"law degree"	0.197572
laude	0.18727
MBA	0.184372
"honorary degree"	0.125893
B.S	0.11639
Bachelor	0.103139
"graduate student"	0.100651
Ph.D.s	0.0857994
postgraduate	0.0834308
lecturer	0.0817124
knighthood	0.0768005
diploma	0.0734399
"form letter"	0.0686108
GPA	0.064076
coursework	0.0617708
"electrical engineering"	0.0604883
"marriage proposal"	0.0604329
undergraduate	0.059191
"Phi Beta Kappa"	0.0589703
"more than @.@ billion dollars"	0.0547468
"positive feedback"	0.054736
"about @.@@ billion dollars"	0.0536829
M.D	0.0536666
fellowship	0.0532441
"order form"	0.0531425
"bill of health"	0.0529851
"over @@@ million US dollars"	0.0518501
"boarding pass"	0.0515139
fluency	0.0513566
vasectomy	0.0511671
"about @ billion dollars"	0.0509595
"Lord's Prayer"	0.0497692
"top billing"	0.0495765
"a few thousand dollars"	0.0494179
"almost $@@,@@@"	0.0493351
"Nobel prize"	0.0486109
"Pulitzer Prize"	0.0485469
"fishing license"	0.0482491
"more than @@@ million dollars"	0.0479501
"chemical engineering"	0.0474985
sabbatical	0.0465238
"political science"	0.0459023
"speeding ticket"	0.0456042
"Purple Heart"	0.0454511
no-decision	0.0453809
comeuppance	0.0453363
benediction	0.0450927
"refresher course"	0.0449213
"three pitchers"	0.044753
"medical checkup"	0.0446931
mammogram	0.0441871
"National Book Award"	0.0441699
feeler	0.0437893
Grounding	0.0434168
"Over @@@ Million Dollars"	0.0432479
immersion	0.0426559
"grade point average"	0.0425416
Flemish	0.0423734
"graduate school"	0.0422211
prosthesis	0.042196
"distress signal"	0.0417218
"medical check-up"	0.0416061
tutoring	0.0413455
"first cup"	0.0411908
zoology	0.0409952
"stage name"	0.0408418
"disability payment"	0.0407632
hand-me-down	0.0406759
"registered nurse"	0.0401773
supplicant	0.0401495
"about @@.@ million dollars"	0.0400265
))
("B.B King" (desc 3064.25) (sims
"John Lee Hooker"	0.207544
"Robert Johnson"	0.187409
"Muddy Waters"	0.160453
"Chuck Berry"	0.119638
"Louis Armstrong"	0.118184
"Eric Clapton"	0.116383
"Jimi Hendrix"	0.10899
"Carlos Santana"	0.108202
"Tom Waits"	0.108185
"Ray Charles"	0.10646
"Bonnie Raitt"	0.104249
"Little Richard"	0.101408
"Christina Aguilera"	0.100929
"Hank Williams"	0.0992923
"Aretha Franklin"	0.0979266
"Bob Marley"	0.0965161
"Diana Krall"	0.0958752
"Lauryn Hill"	0.0938492
"James Brown"	0.0929426
"Marvin Gaye"	0.0894738
"Billy Joel"	0.0894353
"Woody Guthrie"	0.0891341
"Elvis Costello"	0.0882649
"Miles Davis"	0.0867482
"Billie Holiday"	0.0853606
"George Jones"	0.0843785
"Charlie Parker"	0.0842417
"Jerry Garcia"	0.0831333
"Jimmy Buffett"	0.0828543
"Alanis Morissette"	0.0810351
"Stevie Wonder"	0.0803286
"Sheryl Crow"	0.0801965
"Celine Dion"	0.0785667
"Clint Black"	0.0771517
"James Taylor"	0.0760454
"Bob Dylan"	0.0752826
"Phil Collins"	0.0751281
"Rob Thomas"	0.0733683
"Johnny Cash"	0.0723046
"George Harrison"	0.0721656
"Jimmy Page"	0.0718311
"Dizzy Gillespie"	0.0711044
"Loretta Lynn"	0.0707315
Aerosmith	0.0695221
"Lyle Lovett"	0.0684581
"Willie Nelson"	0.0671773
"Erykah Badu"	0.0669431
sextet	0.0653242
"Joan Baez"	0.0652422
"Tony Bennett"	0.065219
"Whitney Houston"	0.0643333
"Peter Gabriel"	0.0643011
"Carly Simon"	0.0639561
"Tammy Wynette"	0.0638256
"Taj Mahal"	0.0618228
"Ella Fitzgerald"	0.0616145
"Neil Young"	0.0614114
"Toni Braxton"	0.0613369
"Wynton Marsalis"	0.0612324
"Tito Puente"	0.0609967
"Johan Cruyff"	0.0606477
"Sarah McLachlan"	0.0604655
"R. Kelly"	0.0601979
"Garth Brooks"	0.0599069
"Paul Simon"	0.0598922
"Michael Jackson"	0.0595956
"Mary J. Blige"	0.059113
Beatles	0.0590166
"Black Sabbath"	0.0588039
"Marc Anthony"	0.058542
"Janis Joplin"	0.0582479
"David Bowie"	0.0579256
"Count Basie"	0.05791
"Patti Smith"	0.0577896
"Linda Ronstadt"	0.0569341
"Jim Morrison"	0.0567651
"John Coltrane"	0.0557846
"Rolling Stones"	0.055771
"Elvis Presley"	0.0557099
"Led Zeppelin"	0.0552472
"Wyclef Jean"	0.0550488
"Joni Mitchell"	0.0548383
"Norman Schwarzkopf"	0.0547543
"Barbra Streisand"	0.054737
Fugees	0.0545804
"Tina Turner"	0.0541754
Liam	0.0541074
"Duke Ellington"	0.0541013
"Patsy Cline"	0.0538456
"Merle Haggard"	0.053611
"guitar player"	0.0534532
"Elton John"	0.0534127
"Foxy Brown"	0.0531127
"Bruce Springsteen"	0.0529424
Eminem	0.0527224
R.E.M	0.0527044
Cher	0.0525715
"Frank Sinatra"	0.052032
Mohr	0.0516926
"grizzly bear"	0.0514146
"Dave Matthews"	0.051092
Santana	0.0493804
"Ruben Blades"	0.0491915
Bono	0.0490383
"LeAnn Rimes"	0.0488809
"Robert DeNiro"	0.0484831
"Mariah Carey"	0.0484497
"Roman Turek"	0.0479256
"Pavol Demitra"	0.0477752
"Tim McGraw"	0.0474553
Karan	0.0473066
"Mick Jagger"	0.047222
"GLORIA ESTEFAN"	0.0467883
"Kurt Cobain"	0.0466019
"Dolly Parton"	0.0462275
"Pierre Turgeon"	0.0460429
Coolio	0.045846
"Jessye Norman"	0.0456484
"Franz Beckenbauer"	0.0452119
"Quincy Jones"	0.0451667
"Dean Martin"	0.0451285
"Alberto Tomba"	0.045096
"Dwight Yoakam"	0.04464
"Don Henley"	0.0445647
"Emmylou Harris"	0.0442022
"Boyz II Men"	0.0441617
"Los Lobos"	0.0440638
"Backstreet Boys"	0.044029
"Trisha Yearwood"	0.0437123
"Grateful Dead"	0.0437099
bandleader	0.0434407
"Bobby Charlton"	0.0433624
"Laurie Anderson"	0.0433615
Pele	0.0432062
"Grant Fuhr"	0.0430732
"Shania Twain"	0.0430723
"Pink Floyd"	0.0429847
"Ricky Martin"	0.0429303
D.J	0.0428347
"Diana Ross"	0.0427646
Finkel	0.0427107
"George Strait"	0.0426827
"Vince Gill"	0.0424501
bluesy	0.0423093
"John Wooden"	0.0422382
U@	0.0418546
"Georgia O'Keeffe"	0.0416968
Arthurs	0.0414731
Billie	0.0414533
"Macy Gray"	0.0414476
"David Cassidy"	0.0413895
"George Michael"	0.0413332
"Al MacInnis"	0.0412233
"Andrea Bocelli"	0.0410691
"Luther Vandross"	0.0406819
"Lou Reed"	0.0404121
"A.J Foyt"	0.040402
"Diego Maradona"	0.0402334
"Kirk Franklin"	0.0401703
"Burt Bacharach"	0.0401525
))
(B.C (desc 26115) (sims
A.D	0.284094
BC	0.179818
"Han Dynasty"	0.123207
"Tang Dynasty"	0.101586
"Western Han Dynasty"	0.0966971
"Yuan Dynasty"	0.0900375
"Shang Dynasty"	0.084716
BCE	0.0823231
"Qing Dynasty"	0.0804263
"Ming Dynasty"	0.0784539
dynasty	0.0772614
"Qin Dynasty"	0.0716269
"Stone Age"	0.0598581
tomb	0.0583968
"about @@@@"	0.0519984
"January @@@@"	0.0469182
mw	0.045847
Han	0.0455892
Roman	0.0436479
"April @@@@"	0.042418
"late @@@@s"	0.0424093
"March @@@@"	0.0420283
mid-@@@@s	0.0412064
"British Columbia"	0.0404012
))
(B.J (desc 4426.79) (sims
LeRoy	0.144917
"Martha Moxley"	0.142028
Ileto	0.130959
"Barnett Slepian"	0.117815
"JonBenet Ramsey"	0.111223
"Matthew Shepard"	0.106253
"Galina Starovoitova"	0.105915
Slepian	0.101415
JonBenet	0.101284
Starovoitova	0.0977972
Hajdari	0.0970462
Webdale	0.0943084
"Matthew Eappen"	0.0938672
"Claudia Benton"	0.092599
"James Byrd Jr."	0.0919804
"Amadou Diallo"	0.090497
"Gianni Versace"	0.087294
"James Byrd"	0.0831066
Grunow	0.0830135
"Nicole Brown Simpson"	0.0818587
"Patrick Dorismond"	0.0808504
"Thomas Youk"	0.0805211
PFC	0.0771943
Moxley	0.0736322
first-grader	0.0717149
"Azem Hajdari"	0.0712374
Gwen	0.0704153
Winchell	0.0702925
Diallo	0.0687369
Joshua	0.068206
Megan	0.067762
noncombatant	0.0677324
stepdaughter	0.0666264
"Lee Harvey Oswald"	0.0665098
Shepard	0.0663674
Stephanie	0.0658944
Bellush	0.0656885
"Harry S. Truman"	0.0656498
Benton	0.0636364
Biko	0.0634902
sightseer	0.0634824
Rene	0.062324
RFK	0.0621513
Lollar	0.0621153
exwife	0.0620641
Recker	0.0615984
"B.J Habibie"	0.0614095
Byrdsong	0.0612901
"Carole Sund"	0.06102
Matthew	0.060933
"Joseph Estrada"	0.0608339
policewoman	0.0595356
Dorismond	0.0594613
"Kendra Webdale"	0.0593542
"shipwreck survivor"	0.0585216
schoolgirl	0.0582906
Guerin	0.0582315
"John Sweeney"	0.0579286
Tuinei	0.0574971
Richard	0.057244
Byrd	0.0570433
"Tupac Shakur"	0.0570357
"black person"	0.0569003
"Ruiz Massieu"	0.0568006
quadruplet	0.0567052
Sund	0.0564499
Arkan	0.0559906
Silverman	0.0559025
Sikh	0.0558966
Fahey	0.0554791
Copt	0.055269
"John Lennon"	0.0551663
ex-girlfriend	0.0551208
granddaughter	0.0549921
postman	0.0540471
mailman	0.0539055
Jamie	0.0539009
Isaiah	0.0538888
Hurtado	0.0538365
Dodi	0.053569
militiaman	0.0535182
Jonathan	0.0532218
"prison guard"	0.0529756
watchman	0.0529516
Aquino	0.0527504
Timmy	0.0520785
Angelica	0.0518381
"Ernesto Zedillo"	0.0514677
Reggie	0.0514412
Rabin	0.0512783
"Robert Kennedy"	0.051207
Perrot	0.0511142
Kenny	0.0511061
Josh	0.0509908
Gabriel	0.0509429
William	0.0509273
Robert	0.0508746
Levin	0.0507668
Snead	0.0503478
Gerardi	0.0502884
policeman	0.0500907
stepbrother	0.0500489
Samantha	0.0499383
"Leon Hess"	0.049718
"Medgar Evers"	0.0495654
Lennon	0.049526
Scottie	0.0494036
"Hafez Assad"	0.0493948
"Brian Laudrup"	0.0486582
"Kim Dae Jung"	0.04864
"Abdulsalami Abubakar"	0.0486053
"Juan Antonio Samaranch"	0.0482271
"mail carrier"	0.0480557
Daniel	0.0477391
"Gerald Ford"	0.0477133
Kevin	0.0475334
Ashbrook	0.0474677
Rachel	0.0472147
Dominique	0.0468491
Machado	0.0467704
Trevor	0.0466464
Amedure	0.046562
Nicholas	0.0464918
Ben	0.0462418
Pamela	0.0461441
Debbie	0.0461044
"Thabo Mbeki"	0.0460116
Larry	0.0460101
Anthony	0.0457656
Costin	0.0457063
"house painter"	0.0455993
Travis	0.0455261
Danny	0.0454205
Jeremy	0.0454103
Zachary	0.045354
Ramseys	0.0452592
fiance	0.0447973
"European Jews"	0.0447317
Gaither	0.0447204
Vargas	0.0446926
motorcyclist	0.0446701
"Kim Il Sung"	0.044589
Rebecca	0.0445706
ex-husband	0.0445587
Andrew	0.0445502
Audrey	0.0444919
"half sister"	0.0444821
Steffi	0.0444179
Jake	0.0442731
Tim	0.0442502
Allchin	0.044152
Nkabinde	0.0441281
Kearney	0.0440353
Casey	0.0438069
Brian	0.0437957
Dahmer	0.0435463
Lamar	0.0434418
"John F. Kennedy"	0.0433301
Jennifer	0.0433187
Nugent	0.0431887
Youk	0.0430486
"John Kennedy Jr."	0.0429989
"Martin Luther King"	0.0429737
"robbery suspect"	0.0429069
Wilkerson	0.0427551
Klerk	0.042754
lawmen	0.0426132
toddler	0.042577
ty	0.0425761
Maggert	0.042435
fawn	0.0423988
Carnegie	0.0423333
O'Hair	0.0422394
"little girl"	0.0421795
Omar	0.0417802
Raznatovic	0.0417427
Rosen	0.041641
Alex	0.0416315
Luong	0.0415646
Ferguson	0.0415467
"Saeed Hajjarian"	0.0415067
triplet	0.0414192
Ricart	0.0414136
"Chelsea Clinton"	0.0413819
Stephen	0.0413084
schoolmate	0.0412429
niece	0.0411697
"Fernando Henrique Cardoso"	0.0411545
"young girl"	0.0410502
elk	0.0410092
Al-Amin	0.0408967
Paul	0.0408733
Kathleen	0.0408425
Brandon	0.040814
Dudayev	0.0407558
Cosby	0.0407459
nix	0.0407417
"wild horse"	0.0407414
Jimmy	0.0406803
Caldwell	0.0406561
))
("B.J Armstrong" (desc 1728.75) (sims
"Randy Brown"	0.211024
"David Wesley"	0.188617
"Bobby Phills"	0.185095
"Derrick Coleman"	0.184476
"Derek Harper"	0.17336
"Nick Anderson"	0.169511
"Ron Harper"	0.167994
"Bill Wennington"	0.166954
"Derek Fisher"	0.165715
"Avery Johnson"	0.154796
"Mario Elie"	0.153053
"Luc Longley"	0.149506
"Brent Barry"	0.147908
"Dennis Scott"	0.145885
"Jerome Kersey"	0.139593
"Sherman Douglas"	0.135526
"Malik Rose"	0.13376
"Vernon Maxwell"	0.129241
"Teresa Weatherspoon"	0.128413
"Steve Kerr"	0.126387
"Terry Porter"	0.122568
"Hersey Hawkins"	0.121832
"Darrell Armstrong"	0.121307
"Brandon Granville"	0.119715
"Eric Snow"	0.118584
"Robert Horry"	0.115291
"Brevin Knight"	0.113471
"Matt Maloney"	0.112571
"Darrick Martin"	0.111717
"Dawn Staley"	0.111567
"Wayne Turner"	0.109564
"Gary Payton"	0.10911
"Greg Foster"	0.108582
"Rick Fox"	0.108219
"Michele Timms"	0.10766
"Ryan Bailey"	0.10466
"Toni Kukoc"	0.104343
"Dennis Rodman"	0.103914
"Steve Smith"	0.103702
"Matt Santangelo"	0.103682
"Tim Hardaway"	0.103461
"Eric Murdock"	0.103442
"Kim Perrot"	0.102886
"Robert Pack"	0.102343
"Rod Strickland"	0.100631
"Anthony Johnson"	0.100169
"Terrell Brandon"	0.10009
"Eddie Jones"	0.0999212
"Travis Knight"	0.0987048
"Jaren Jackson"	0.0979665
"Stephon Marbury"	0.0977481
"Howard Eisley"	0.0961305
"Kevin Johnson"	0.0951328
"SCOTT BURRELL"	0.0940512
"Khalid El-Amin"	0.0940085
"Mookie Blaylock"	0.0936382
"CORIE BLOUNT"	0.0930667
"Anthony Mason"	0.0927188
"Sam Cassell"	0.0922488
"Elden Campbell"	0.092085
"Antonio Daniels"	0.0912812
"Mateen Cleaves"	0.091067
"Larry Hughes"	0.091061
"Shammond Williams"	0.0910364
"Dana Barros"	0.0906085
"Brian Shaw"	0.0904427
"Mitch Richmond"	0.0894677
"Mark Jackson"	0.0887314
"Ricky Moore"	0.0884967
"Isaiah Rider"	0.0870051
"Greg Anthony"	0.0869756
"Ruben Patterson"	0.0853559
"Brad Miller"	0.0851302
"William Avery"	0.0849005
"Mike Bibby"	0.0846881
"J.R Reid"	0.0838709
"Kenny Anderson"	0.0834312
"Erick Barkley"	0.0827372
"Scoonie Penn"	0.0827214
"Doug Christie"	0.081492
"Sean Rooks"	0.0802761
"Jason Terry"	0.0802748
"Ukari Figgs"	0.0800443
"Jason Williams"	0.0800442
"Rex Chapman"	0.0799649
"Vin Baker"	0.0798946
"Jimmy Oliver"	0.0796845
"Dan Majerle"	0.0795736
"Bryce Drew"	0.0791788
"Derek Anderson"	0.0790589
"Gene Williams"	0.0789432
"Jeff Trepagnier"	0.0788311
"Damon Stoudamire"	0.0783416
"Doc Rivers"	0.0783348
"Ron Mercer"	0.0780681
"Nikki McCray"	0.0779853
"Michael Redd"	0.0779048
"Steve Nash"	0.0772408
"Everett McIver"	0.0759235
"Bimbo Coles"	0.0752819
"Chauncey Billups"	0.0745253
"Travis Best"	0.0744203
"Andre Miller"	0.074105
"Earl Watson"	0.074007
"Anfernee Hardaway"	0.0738703
"Allan Houston"	0.0738553
"Baron Davis"	0.0737382
"Eric Piatkowski"	0.0736151
"LaPhonso Ellis"	0.0734712
"Nick Van Exel"	0.0731089
"Chris Childs"	0.0727465
"Bob Sura"	0.0725381
"Charlie Ward"	0.0722866
"Trajan Langdon"	0.0717367
"Rony Seikaly"	0.071529
"Glen Rice"	0.0714391
"Cynthia Cooper"	0.0712105
"Scottie Pippen"	0.0710016
"Kirk Gibson"	0.0700219
"Joe Kleine"	0.0695838
"Sam Mack"	0.0694807
"Penny Hardaway"	0.0689813
"Vlade Divac"	0.0688
"Hu Weidong"	0.0687638
"John Starks"	0.068716
"Bruce Matthews"	0.0686484
"George McCloud"	0.0680501
"Robert Traylor"	0.0678927
"Bruce Bowen"	0.0661512
"Jamal Mashburn"	0.0661252
"Steve Francis"	0.0658721
"Charles Oakley"	0.0657982
"Billy Knight"	0.0657129
"Jason Kidd"	0.0650225
"Jim Jackson"	0.0646992
"Kerry Kittles"	0.0646035
"Dominique Wilkins"	0.0645937
"Reggie Miller"	0.06444
"Brent Price"	0.0643667
"Kobe Bryant"	0.0640695
"Adrian Griffin"	0.063963
"Matt Geiger"	0.0637392
"Michael Finley"	0.063703
"John Stockton"	0.0636113
"Heath Irwin"	0.0634224
"Mark Williams"	0.0628126
"Ron Artest"	0.062779
"Chris Mullin"	0.0626938
"Dion Glover"	0.0626567
"Bonzi Wells"	0.0624358
"Jerry Stackhouse"	0.0618735
"Toby Bailey"	0.0614662
Longley	0.0608097
"Chris Webber"	0.0607407
"Jeff Hornacek"	0.060421
"Dale Ellis"	0.0601364
"Tyronn Lue"	0.0593952
El-Amin	0.0593443
"Rico Hines"	0.0590627
"Will Perdue"	0.0589733
"Allen Iverson"	0.0588213
"Tariq Abdul-Wahad"	0.0588018
"A.C. Green"	0.0584135
Scoonie	0.0583746
"Rashard Lewis"	0.0581393
"Voshon Lenard"	0.0578726
"Nate Newton"	0.0574775
"Eddie House"	0.0570564
"Alan Henderson"	0.0566665
"Hubert Davis"	0.0565532
Hawkins	0.0565422
"Cuttino Mobley"	0.055497
"Ray Allen"	0.0551706
"Paul Pierce"	0.0550463
"Alonzo Mourning"	0.0541214
"Joe Dumars"	0.0540735
"Randall Simon"	0.0536179
"Paul Silas"	0.0533745
"Antonio Davis"	0.0531402
Kerr	0.0531158
"Christian Laettner"	0.0526396
"Olden Polynice"	0.0523084
"Tex Winter"	0.0521699
"Ray Young"	0.051888
"Michael Dickerson"	0.0511752
"Solomon Page"	0.0509679
"P.J Brown"	0.0504463
STALEY	0.050304
"Charlie Garner"	0.0496484
"Hakeem Olajuwon"	0.0495779
"Tracy McGrady"	0.0487212
"Dave Wohlabaugh"	0.0485876
"Todd Rucci"	0.0481468
"Kendall Gill"	0.0481139
"Doug Pederson"	0.0477156
"Herb Williams"	0.0476173
"Maurice Taylor"	0.0475913
"Max Lane"	0.0468623
"Shandon Anderson"	0.0467846
"Courtney Alexander"	0.0466871
))
("B.J Habibie" (desc 2902.28) (sims
"Abdulsalami Abubakar"	0.179546
"Thabo Mbeki"	0.178483
"Joseph Estrada"	0.175904
Tae-woo	0.14884
"Abdurrahman Wahid"	0.146833
"Fernando Henrique Cardoso"	0.143411
Klerk	0.141912
"Jamil Mahuad"	0.140386
"Ernesto Zedillo"	0.140317
"Olusegun Obasanjo"	0.139643
"Andres Pastrana"	0.137321
"Mohammad Khatami"	0.136784
"Paul Kagame"	0.134871
Habibie	0.134182
"Harry S. Truman"	0.133419
"Carlos Menem"	0.128409
"Vladimir Putin"	0.126718
"Franjo Tudjman"	0.125073
"Sali Berisha"	0.121327
"Jacques Chirac"	0.120987
"Laurent Kabila"	0.120675
"Kim Dae Jung"	0.117895
"Biljana Plavsic"	0.115906
"Yoshiro Mori"	0.113777
"Sergei Kiriyenko"	0.113101
"Abdulsalam Abubakar"	0.112835
"John Sweeney"	0.112302
"Juan Antonio Samaranch"	0.112271
"Krishna Prasad Bhattarai"	0.110434
Sukarno	0.109282
"Megawati Sukarnoputri"	0.109128
"Gerald Ford"	0.109124
"Alberto Fujimori"	0.10894
"Lech Walesa"	0.108342
"Joaquim Chissano"	0.107959
"Alexander Lukashenko"	0.107068
Shui-bian	0.105885
"George Bush"	0.104198
"John Major"	0.103044
"Shimon Peres"	0.102922
"Chavalit Yongchaiyudh"	0.101843
"Lamberto Dini"	0.100964
"Wolfgang Schaeuble"	0.100235
"Bashar Assad"	0.098104
"Boris Yeltsin"	0.0966612
"Girija Prasad Koirala"	0.0963896
"Aslan Maskhadov"	0.0962431
Abubakar	0.0961203
"Martti Ahtisaari"	0.0959786
"Pasteur Bizimungu"	0.0959282
"Helmut Kohl"	0.0958992
"Robert Mugabe"	0.0949403
"Ricardo Lagos"	0.0945302
"Momir Bulatovic"	0.0943669
"Ann Richards"	0.0941492
"Pandeli Majko"	0.0936366
"Yoweri Museveni"	0.0935264
"Ricardo Alarcon"	0.0921341
Nujoma	0.0911291
"Scott Harshbarger"	0.0910196
"Hugo Chavez"	0.0896805
"Megawati Soekarnoputri"	0.089572
"Dave Checketts"	0.0893613
Suharto	0.0890721
"Jimmy Carter"	0.0886246
"Sepp Blatter"	0.0884854
"Dave Wannstedt"	0.0879507
"Julius Nyerere"	0.0874895
Wahid	0.0866035
"Al Groh"	0.0856862
"Sani Abacha"	0.0855248
"Romano Prodi"	0.085418
"John Adams"	0.0851114
"Pascoal Mocumbi"	0.0846004
"Vaclav Havel"	0.0845922
"Calvin Coolidge"	0.0841467
"Sergei Stepashin"	0.0839912
"Deve Gowda"	0.0839853
"Jacques Santer"	0.0838987
Wiranto	0.0831271
"Felipe Gonzalez"	0.0829871
"Wlodzimierz Cimoszewicz"	0.0826183
"Gerhard Schroeder"	0.0825107
"Ernie Grunfeld"	0.0825059
"Tung Chee-Hwa"	0.082082
Aquino	0.0817803
"Nelson Mandela"	0.0816115
Rua	0.0815268
"Lyndon B. Johnson"	0.081107
"Dwight D. Eisenhower"	0.0808708
"Keizo Obuchi"	0.0806732
"Fatos Nano"	0.0803631
"Hosni Mubarak"	0.0801602
"Pierre Buyoya"	0.0797416
Stoyanov	0.0796899
"Dennis Vacco"	0.079527
"Gulbuddin Hekmatyar"	0.0794338
"Lawrence Summers"	0.0790014
"Robert Ray"	0.0789662
"Nikola Poplasen"	0.0782614
"Vojislav Kostunica"	0.0781481
"Pete Wilson"	0.0778333
"Wim Duisenberg"	0.0772715
"Tom Welch"	0.0772274
"Charles Taylor"	0.0763508
"James P. Hoffa"	0.0761721
"David Beasley"	0.0761402
"Benjamin Netanyahu"	0.075764
president-elect	0.0754713
"Ketumile Masire"	0.074934
"Tomiichi Murayama"	0.0748324
"Sonia Gandhi"	0.0743923
"Goran Persson"	0.0743561
"Frederick Sumaye"	0.0735001
"Alija Izetbegovic"	0.0733904
"Carlos Salinas"	0.0733112
"H.D Deve Gowda"	0.0729282
"David Levy"	0.0727117
"John Bruton"	0.0727029
Roh	0.0724546
"Victor Chernomyrdin"	0.0724008
"Dave Johnson"	0.0718461
"Yevgeny Primakov"	0.0718335
"Rick Perry"	0.0717826
"Kim Yong Nam"	0.0715861
Muluzi	0.07152
"Warren Christopher"	0.0713108
Stepashin	0.0710835
"Antonio Guterres"	0.0705679
"Mikhail Gorbachev"	0.0704998
"Chea Sim"	0.0704651
"Steve Ballmer"	0.070307
Nazarbayev	0.0699716
"Hafez Assad"	0.0698273
"Michel Camdessus"	0.0695278
"Lyndon Johnson"	0.069318
"Jenny Shipley"	0.0693082
"Ariel Sharon"	0.0689976
"Marzuki Darusman"	0.0687415
"Atal Behari Vajpayee"	0.0686276
"Dennis Hastert"	0.0676921
"Franklin Roosevelt"	0.0675872
Bashar	0.067532
Eduardo	0.0675063
"Zell Miller"	0.0673024
"Rafik Hariri"	0.0672774
"Rolf Ekeus"	0.0671708
"Yitzhak Rabin"	0.0668505
"Prime Minister Kamal El-Ganzouri"	0.0661408
"Ehud Barak"	0.0660734
Dae-jung	0.0656737
"Lokendra Bahadur Chand"	0.0654117
"Bashkim Fino"	0.0653233
Moi	0.0651618
"Laurent Fabius"	0.0650731
Gurirab	0.0650683
"Richard Nixon"	0.064762
"Mikulas Dzurinda"	0.0646754
ex-communist	0.0645682
"Inder Kumar Gujral"	0.0645463
"Joao Havelange"	0.0644788
"Kim Jong-pil"	0.0643672
"Ronald Reagan"	0.0640581
Abdullah	0.0640557
"Wang Yeping"	0.0639951
"Xanana Gusmao"	0.0639384
Hasina	0.0639229
"Madeleine Albright"	0.0635404
"Mobutu Sese Seko"	0.063537
Kumaratunga	0.0635102
"M. Douglas Ivester"	0.0634057
"Richard M. Nixon"	0.0633401
Bhattarai	0.0631216
"John Quincy Adams"	0.0631111
"cabinet minister"	0.0629016
"Bulent Ecevit"	0.062841
"Vo Van Kiet"	0.0627269
"Andrew Johnson"	0.0626546
"Viktor Chernomyrdin"	0.0624776
"Benazir Bhutto"	0.0623064
"National Sports Council"	0.0618226
"King Sihanouk"	0.0618215
Mbeki	0.0617493
"Ryutaro Hashimoto"	0.0615831
"Alain Juppe"	0.0614794
B.J	0.0614095
"Ferdinand Marcos"	0.0613225
"Jeb Bush"	0.0612768
"Suleyman Demirel"	0.0611158
Golkar	0.0610332
Ganzouri	0.0606648
"James Hormel"	0.0606613
Karimov	0.0606425
"Leon Brittan"	0.0606094
"I.K Gujral"	0.0604855
el-Ganzouri	0.0604712
"King Abdullah Bin Hussein"	0.0602566
"Yossi Beilin"	0.0602443
Katsav	0.0600385
"Valery Pustovoitenko"	0.060014
))
("B.J Surhoff" (desc 5176.45) (sims
"Mike Bordick"	0.345896
"Brady Anderson"	0.302819
"Delino DeShields"	0.288946
"Jeff Conine"	0.282427
"Harold Baines"	0.280507
"Will Clark"	0.276997
"Albert Belle"	0.27034
"Eric Davis"	0.23605
"Matt Lawton"	0.231497
"Rafael Palmeiro"	0.230681
"Cal Ripken"	0.227081
"Charles Johnson"	0.222126
"Roberto Alomar"	0.219814
"Gerald Williams"	0.213813
"Eric Owens"	0.209907
"Geoff Jenkins"	0.208394
"Johnny Damon"	0.205102
"Brian Jordan"	0.204084
"Carlos Lee"	0.202948
"Quinton McCracken"	0.201824
"Rusty Greer"	0.200457
"Barry Bonds"	0.199204
"Joe Carter"	0.19734
Surhoff	0.197158
"Matt Stairs"	0.196758
"Jose Hernandez"	0.194055
"Ray Lankford"	0.193282
"Glenallen Hill"	0.192321
"Ray Durham"	0.19182
"Scott Rolen"	0.191275
"John Olerud"	0.18821
"Dante Bichette"	0.188014
Rolen	0.18738
"Scott Erickson"	0.187304
"Ellis Burks"	0.186785
"Frank Thomas"	0.186506
"Al Martin"	0.185749
"Rondell White"	0.185072
"Bubba Trammell"	0.183193
"Gary Sheffield"	0.182025
"Reggie Sanders"	0.181411
"Garret Anderson"	0.179166
"Troy O'Leary"	0.178662
"Fred McGriff"	0.178648
"Luis Gonzalez"	0.178343
"Robin Ventura"	0.177989
"Dmitri Young"	0.177963
"Ron Gant"	0.176612
"Edgardo Alfonzo"	0.176247
"Benny Agbayani"	0.175409
"Marvin Benard"	0.175008
"Andruw Jones"	0.174928
"Derek Bell"	0.174847
"Tony Batista"	0.174454
"Bernie Williams"	0.174413
"Cliff Floyd"	0.174253
"Ken Caminiti"	0.172956
"Bobby Higginson"	0.17217
"Greg Vaughn"	0.171885
"John Vander Wal"	0.171291
"Paul Konerko"	0.170877
"Bruce Aven"	0.169507
"Chad Curtis"	0.169379
"Ryan Klesko"	0.168797
"Rickey Henderson"	0.168462
"Ben Grieve"	0.168432
"Danny Bautista"	0.167752
"Henry Rodriguez"	0.166543
"Troy Glaus"	0.166142
"Gregg Jefferies"	0.166122
"Marquis Grissom"	0.165861
"Jim Thome"	0.165796
"Wil Cordero"	0.165575
"Darin Erstad"	0.165208
"Manny Ramirez"	0.16501
Vidro	0.164941
"Juan Encarnacion"	0.164504
"Jeff Kent"	0.163965
"Steve Finley"	0.162527
"Carlos Delgado"	0.162463
"Todd Zeile"	0.162343
"Damon Buford"	0.161959
"Mike Mussina"	0.161867
"Damian Miller"	0.161449
"Royce Clayton"	0.16119
"Jose Guillen"	0.160751
"Magglio Ordonez"	0.159836
"Mark Loretta"	0.159669
"Luis Polonia"	0.159491
"Phil Nevin"	0.159458
"Ruben Rivera"	0.159449
"Darren Lewis"	0.158644
"Vladimir Guerrero"	0.158326
"Quilvio Veras"	0.157096
"Tony Eusebio"	0.157056
"Preston Wilson"	0.157054
"Orlando Palmeiro"	0.156672
"Mark McLemore"	0.156429
"Jay Payton"	0.155717
"Damian Jackson"	0.155233
"Carlos Beltran"	0.153986
"Richie Sexson"	0.153865
"Bobby Abreu"	0.153715
"Rich Becker"	0.153004
"Ivan Rodriguez"	0.15066
"Darryl Hamilton"	0.15047
Fullmer	0.150036
"Brian Giles"	0.149002
"Deivi Cruz"	0.148852
"Shawn Green"	0.148754
"Mark Grace"	0.148578
"Richard Hidalgo"	0.148516
"Darren Bragg"	0.14809
"Jeff Bagwell"	0.147652
"Damion Easley"	0.147343
"Ricky Ledee"	0.147267
"Dean Palmer"	0.147105
"Warren Morris"	0.146928
"Jason Giambi"	0.146817
"Brian Hunter"	0.146118
Lankford	0.145759
"Edgar Renteria"	0.145742
"Matt Franco"	0.144978
"Devon White"	0.144818
"Bill Mueller"	0.144413
"Todd Helton"	0.144125
"Moises Alou"	0.144089
"Jay Buhner"	0.144071
"Stan Javier"	0.143796
"Eric Karros"	0.143339
"Tom Goodwin"	0.143198
"Pat Meares"	0.142975
"Matt Williams"	0.142963
"Mark Kotsay"	0.142763
"Kenny Lofton"	0.142304
Alfonzo	0.142007
"Lee Stevens"	0.140742
"Melvin Mora"	0.140715
"Paul O'Neill"	0.140356
"Jeffrey Hammonds"	0.140296
"Chris Widger"	0.140178
"Shannon Stewart"	0.140031
"Chipper Jones"	0.1398
"Neifi Perez"	0.139633
"Tim Salmon"	0.139407
"Raul Mondesi"	0.139298
"Sean Casey"	0.139221
"Mike Piazza"	0.138524
"Mike Cameron"	0.13833
Abreu	0.138231
"Ken Griffey Jr."	0.1382
"Dave Martinez"	0.138147
Olerud	0.138125
"Scott Brosius"	0.137683
"Barry Larkin"	0.137635
"Javy Lopez"	0.137551
Karros	0.137017
"Mike Timlin"	0.13671
Erstad	0.136548
Spiers	0.136421
Sexson	0.136404
Cirillo	0.136009
"Kurt Abbott"	0.135804
"Larry Walker"	0.135549
"Juan Gonzalez"	0.135541
"Craig Biggio"	0.135404
"Marty Cordova"	0.135393
"Matt Luke"	0.135309
"Jason Varitek"	0.135222
"Gabe Kapler"	0.134904
"Butch Huskey"	0.13487
"Cal Ripken Jr."	0.134552
"Lance Berkman"	0.134142
"Tim Bogar"	0.134066
"Jon Nunnally"	0.134064
"Jim Edmonds"	0.133796
"David Dellucci"	0.133762
"Luis Alicea"	0.133601
"Bobby Bonilla"	0.133534
"Michael Tucker"	0.133473
"Mo Vaughn"	0.133265
"Roger Cedeno"	0.133116
"Jose Canseco"	0.132937
"Edgar Martinez"	0.132842
"Willie Greene"	0.1322
"Brant Brown"	0.132044
Palmeiro	0.131963
"Scott Spiezio"	0.131086
"Luis Castillo"	0.130818
"Pat Burrell"	0.130686
"David Segui"	0.130575
"Travis Fryman"	0.130463
"Mike Lansing"	0.130362
"David Bell"	0.130167
"Adam Kennedy"	0.130099
"Fernando Vina"	0.130026
"Trot Nixon"	0.130011
"Jim Leyritz"	0.129726
"Brad Ausmus"	0.129388
"Jose Vidro"	0.129317
"Walt Weiss"	0.128809
"Tino Martinez"	0.128404
"Tony Phillips"	0.128187
"Jose Cruz Jr."	0.128074
"Jose Valentin"	0.127995
"Lance Johnson"	0.127794
"Rico Brogna"	0.127783
"John Mabry"	0.127772
"J.D Drew"	0.127172
"Carl Everett"	0.127165
"Terrence Long"	0.127031
"Andres Galarraga"	0.126937
"Jeromy Burnitz"	0.126875
"Mike Sweeney"	0.126846
"Bill Spiers"	0.126626
"Doug Glanville"	0.126516
"Otis Nixon"	0.126024
"J.T Snow"	0.125841
"Mike Lieberthal"	0.125351
"Alex Rodriguez"	0.125174
"Derrek Lee"	0.124767
"Mark Grudzielanek"	0.124708
Kapler	0.124579
"John Valentin"	0.124467
"Adrian Beltre"	0.124444
"Randy Velarde"	0.124359
"Jason Kendall"	0.12412
"Rich Aurilia"	0.123496
"Karim Garcia"	0.123319
"Bret Boone"	0.123178
DeShields	0.123131
"Bernard Gilkey"	0.122798
"Jay Bell"	0.122471
"Joe McEwing"	0.122198
"Lenny Harris"	0.12177
Dunston	0.121655
"Travis Lee"	0.121601
"Rob Ducey"	0.121403
Randa	0.121041
"Mike Stanley"	0.120888
"CARLOS HERNANDEZ"	0.120704
"Brian Daubach"	0.120543
Burnitz	0.120543
"Russ Davis"	0.120491
"Todd Hundley"	0.120475
"Jose Offerman"	0.120162
"Jorge Posada"	0.120033
Aurilia	0.119821
Valentin	0.119745
"Shawon Dunston"	0.119745
Renteria	0.119693
"Nomar Garciaparra"	0.119589
"Kelly Stinnett"	0.119491
"Ricky Gutierrez"	0.119477
Nevin	0.118619
"Andy Fox"	0.118078
Higginson	0.11807
grieve	0.118018
"Todd Hollandsworth"	0.117903
"Derek Jeter"	0.117843
"Joe Randa"	0.11747
"Chuck Knoblauch"	0.117162
Vaughn	0.11698
"Ozzie Guillen"	0.116801
"Omar Vizquel"	0.115982
Glanville	0.11578
McGriff	0.115651
"Shane Spencer"	0.115282
"Tony Gwynn"	0.11487
Bordick	0.114484
"Eddie Taubensee"	0.114283
Bichette	0.113858
"Chili Davis"	0.113697
"Jermaine Dye"	0.113683
"Pokey Reese"	0.113579
"Vinny Castilla"	0.113199
Bagwell	0.113044
"Kirk Gibson"	0.112565
"Daryle Ward"	0.112238
"Ron Coomer"	0.112108
belle	0.111581
"Russ Johnson"	0.111355
"Tony Womack"	0.11095
"Tim Raines"	0.110669
Tatis	0.109315
"David Ortiz"	0.109108
Tejada	0.109055
"Trenidad Hubbard"	0.108874
"Todd Walker"	0.108748
"Eric Chavez"	0.108509
"Fernando Tatis"	0.108241
"Ruben Mateo"	0.107855
Klesko	0.107703
"Pudge Rodriguez"	0.107626
Glaus	0.107412
"Bengie Molina"	0.107057
Daubach	0.106754
"Dave Hansen"	0.106671
Trammell	0.106642
"Dan Wilson"	0.106346
Bautista	0.106215
Lofton	0.106117
"Wally Joyner"	0.105798
"Raul Ibanez"	0.10552
Catalanotto	0.105291
"Mickey Morandini"	0.10495
"Rey Ordonez"	0.104667
"Kevin Stocker"	0.104568
"Cristian Guzman"	0.10408
"Paul Bako"	0.104076
"Jeremy Giambi"	0.103971
"Matt Walbeck"	0.10391
"Tony Clark"	0.103906
Vizquel	0.103904
Lieberthal	0.103722
Alicea	0.103602
"Desi Relaford"	0.103341
"Alex Gonzalez"	0.103262
"Jeff Cirillo"	0.103245
Giambi	0.103196
Zeile	0.103167
"Kevin Young"	0.102991
"Manny Alexander"	0.102778
"Roberto Kelly"	0.102566
Eusebio	0.101406
"Todd Pratt"	0.101359
"Keith Lockhart"	0.101165
"Greg Myers"	0.101159
"Craig Counsell"	0.100421
McLemore	0.100029
Batista	0.1
))
(B.S (desc 1577.28) (sims
M.A	0.120785
B.A	0.11639
baloney	0.102854
doctorate	0.0877708
Ph.D	0.0830234
Ph.D.s	0.0786187
crap	0.0741126
"God's Will"	0.0730271
Ba	0.0727819
"bachelor's degree"	0.0726878
copout	0.068996
"standard operating procedure"	0.0684527
gibberish	0.0663714
M.D	0.0644152
nonentity	0.0631522
no-brainer	0.0615146
Bachelor	0.0609939
rubbish	0.0602357
"master's degree"	0.0598007
negation	0.0595099
crock	0.0584833
storey	0.0560573
"form letter"	0.0555482
"white elephant"	0.0537429
superlative	0.0529114
Truism	0.0526344
misperception	0.0525789
MBA	0.0520108
Regan	0.0519465
"first eight"	0.0512378
ruse	0.0501061
"next six"	0.0501016
cortisone	0.0491226
midrange	0.0489553
"sour grapes"	0.048752
pacifism	0.0487416
"Catholic University"	0.048228
"about $@@.@ million"	0.0479029
"law degree"	0.0475215
cowbell	0.047365
foolishness	0.0469558
"Two and three"	0.0467938
typo	0.0465835
"profit sharing"	0.0458993
overstatement	0.0458768
"credit system"	0.0458637
"blind spot"	0.0457445
harder	0.0455249
"line of questioning"	0.0453394
"numbers game"	0.0447531
"paid vacation"	0.044721
travesty	0.0446714
freebie	0.0446337
stinker	0.0443786
"popularity contest"	0.0440738
"compensation package"	0.043888
Gimme	0.0438207
comedown	0.0437802
helluva	0.0437793
"almost $@@,@@@"	0.0435977
"more than @@@,@@@ yuan"	0.0434827
intents	0.0427264
"over @@@ million US dollars"	0.0423415
CWS	0.0421914
washout	0.0421089
oversimplification	0.0420909
popsicle	0.0418464
puzzlement	0.0418039
blather	0.0417745
"red herring"	0.0417303
"hole in the ground"	0.0416888
wipeout	0.0416722
"annual payment"	0.0416412
knighthood	0.0415189
"first nine"	0.0414789
"British Opens"	0.0414435
"public knowledge"	0.0414408
Algonquin	0.0413913
"Passion play"	0.0413505
axiom	0.0410385
"four lines"	0.0408995
"next five"	0.0406008
"cash bonus"	0.040556
"fifth and sixth"	0.0404587
"modus operandi"	0.0403838
"liberal arts"	0.0403655
Tintin	0.0402365
"first five"	0.0402169
duffer	0.0400826
))
(B@ (desc 4226.66) (sims
H@	0.215777
D@	0.210413
e@	0.195658
B@@	0.191174
a@	0.170723
C@	0.152172
B-@	0.117405
"folic acid"	0.116485
folate	0.103351
F@	0.101055
G@	0.084018
"vitamin A"	0.0805926
"B vitamin"	0.0672527
S@	0.0612057
A-@	0.0581822
B-@@	0.0477621
magnesium	0.0438702
AAA	0.0438519
carotene	0.0420669
potassium	0.0415017
))
(B@@ (desc 1910.15) (sims
B@	0.191174
folate	0.15682
"B vitamin"	0.139318
"vitamin A"	0.110125
B-@@	0.10917
selenium	0.0924158
RCN	0.0902868
Politika	0.0901387
"folic acid"	0.0886814
B-@	0.0879922
"vitamin D"	0.0822992
playlists	0.0796031
beta	0.0770501
CBC	0.0660236
A-@	0.0610968
"morse code"	0.0602974
TU-@@@	0.0583452
potassium	0.0571153
"vitamin C"	0.0550667
magnesium	0.053355
"Red Star"	0.0526502
BK	0.0516701
NTV	0.0498468
Dana	0.0472228
SU-@@	0.0470392
transponder	0.0464544
airplay	0.0464313
antioxidant	0.0455759
"Laura Schlessinger"	0.0455139
ECNs	0.0450213
INTERFET	0.0449741
slurry	0.0440685
"another nine"	0.0439246
vending	0.043108
iTV	0.0428561
"Daily Nation"	0.0428006
Calcium	0.0426537
ORT	0.0425171
readying	0.0421776
felling	0.0420396
Tanjug	0.0419392
CBS-TV	0.0411753
"another six"	0.0410572
carotene	0.0409635
"broadcasting company"	0.0409003
"Russ Ortiz"	0.0407618
))
(B@B (desc 2585.7) (sims
business-to-business	0.269404
e-business	0.114695
dot.com	0.102585
Internet-based	0.0938343
retail	0.0865883
leasing	0.0788657
"investment banking"	0.0785893
barter	0.077639
pan-European	0.0775581
Non-governmental	0.0773713
"bond trading"	0.0771879
"Silicon Alley"	0.0770884
Sino-Japanese	0.0763237
Telecom	0.0760317
asp	0.0747651
biotech	0.0746669
Telecoms	0.0744353
Sino-Russian	0.0733728
inter-Korean	0.0714396
networking	0.0708973
VC	0.0707802
after-hours	0.0707403
cross-Straits	0.0692656
"back office"	0.0691617
"A few key"	0.0690218
Sino-British	0.067769
"computer hardware"	0.0670392
broadband	0.0663637
forwarding	0.0662178
"data communication"	0.0656952
Sino-French	0.0652345
Sino-U.S.	0.0644249
videophone	0.0637966
small-business	0.0637651
retailing	0.06327
multiplayer	0.0629012
REIT	0.0627777
export-oriented	0.0627755
Sino-African	0.0624184
"Far Eastern"	0.0622968
Unix	0.0622934
"penny stock"	0.0619828
arbitrage	0.0615859
"pen pal"	0.0607896
vending	0.0600646
midsize	0.0600622
"mail order"	0.0600546
Emeryville	0.059767
Gaming	0.0597238
inter-Arab	0.0589792
"high technology"	0.0589141
ISP	0.058726
three-point	0.0580413
multimedia	0.0573296
interbank	0.0573097
"life science"	0.0572466
"telephone directory"	0.0568561
one-to-one	0.0567496
aerospace	0.056577
"tax avoidance"	0.0565056
"sea lane"	0.0563613
fastest-growing	0.0563416
bare-bones	0.0561952
"securities trading"	0.0561469
GO.com	0.0558698
"yellow pages"	0.0556692
"Top @@@"	0.055166
"data processing"	0.054766
"interior decoration"	0.054722
telephony	0.0546236
aftermarket	0.054525
"consumer product"	0.0544542
"life insurance"	0.0542992
longterm	0.0541518
in-depth	0.0540005
accountancy	0.0539304
videogame	0.0536115
REALTY	0.0533335
catering	0.0533201
"small cap"	0.0532766
collaborative	0.0525878
Netcenter	0.0522728
"other eight"	0.0519056
WAP	0.0517797
consultancy	0.0517371
"wireless telephone"	0.0516176
non-Indian	0.0515929
ecotourism	0.0515353
PR	0.0513633
for-profit	0.0511694
copier	0.050955
dot-com	0.0507702
Sunnyvale	0.0505779
CDMA	0.0503055
"Hail Mary"	0.0502138
ADSL	0.0498275
topspin	0.0498204
"four key"	0.0496597
"South San Francisco"	0.0495898
cyber	0.0494178
Linux	0.0494027
biotechnology	0.048783
"Three key"	0.048714
Powerball	0.0486125
"five key"	0.0483566
entrepot	0.0482377
agribusiness	0.0482249
Asia-Europe	0.0481928
workstation	0.0480641
Porn	0.0479598
semiconductor	0.0478579
foreign-funded	0.0477725
reinsurance	0.0476765
freebie	0.0474408
FOREX	0.0472257
shipbuilding	0.0471525
"two key"	0.0471107
"San Mateo"	0.0467808
"Go Network"	0.0465461
Microelectronics	0.0464701
deadend	0.046299
"venture capital"	0.0462734
ICQ	0.0462559
"computer graphics"	0.0461325
BSA	0.0459062
multichannel	0.0458557
DIVX	0.0456401
"bricks and mortar"	0.0455053
special-teams	0.0454807
warehousing	0.0454781
telemarketing	0.0454712
physicals	0.0452398
Usenet	0.0449263
PATHFINDER	0.044792
genomics	0.0447785
contrarian	0.0447624
flagship	0.0445084
nt	0.0443568
"Bay State"	0.0441698
"Liquid Audio"	0.0441507
computing	0.0440256
"greeting card"	0.0439058
"specialty chemical"	0.0437447
Andover	0.0437413
"black market"	0.0437149
LASIK	0.0436441
WEU	0.0435491
timepiece	0.0435453
MSN	0.0434386
factoring	0.0433836
China-U.S.	0.0429754
"Dirty Bird"	0.0429412
"fiber optics"	0.0427655
third-quarter	0.0424843
Webcam	0.0424771
"Beanie Baby"	0.0424315
healthcare	0.04239
"consumer goods"	0.042257
com	0.041969
"mainframe computer"	0.0418942
Swimwear	0.0417142
"public utility"	0.0417055
branding	0.0416652
synchronization	0.0415791
"money order"	0.0415328
"Sprint PCS"	0.0414525
"shopping cart"	0.0414443
"B share"	0.0413144
conducting	0.0413003
abacus	0.0410528
"consumer electronics"	0.040935
intraday	0.0408963
"investment trust"	0.0408658
eighty	0.0408233
"million Dollar"	0.0408155
public-relations	0.0407438
"bank card"	0.040604
emulator	0.0405215
Services	0.0403696
MP@	0.04036
connectivity	0.0403232
Mayan	0.0400615
))
(Ba (desc 4933.46) (sims
"British Airways"	0.117786
RJR	0.116303
"P&AMP;G"	0.108874
SmithKline	0.106084
"Air Canada"	0.104505
KLM	0.100995
CCE	0.100278
SAA	0.0991643
NORTHROP	0.0981094
Starwood	0.097799
SGI	0.0975377
Asda	0.096921
Sunbeam	0.0961074
"Hongkong Telecom"	0.0956146
Fedex	0.0953908
"US Airways"	0.0948576
Cathay	0.0939782
"Waste Management"	0.0923097
Gilead	0.0917357
WPP	0.0911454
TWA	0.0905066
"Advanced Micro"	0.0894301
Daimler	0.0891262
"Korean Air"	0.0883516
Cadbury	0.0880492
Litton	0.0875874
ALZA	0.0871068
"Alaska Airlines"	0.0869527
XYLAN	0.0869066
JAL	0.0868645
Raytheon	0.0866069
"America West"	0.0865632
Amgen	0.0855882
"First Union"	0.0850719
NatWest	0.0848005
Tandy	0.0845337
McKesson	0.0844279
Webvan	0.0834729
"Gulf Air"	0.0832465
BankAmerica	0.0825499
"PG&AMP;E"	0.0823987
"American Home"	0.0823195
"National Grid"	0.0820621
EMC	0.0820509
"Stride Rite"	0.0818656
"Kenya Airways"	0.0818115
BofA	0.0816971
UBS	0.0813948
"Bausch &AMP; Lomb"	0.0808657
"Thermo Electron"	0.0807091
VENATOR	0.0806458
"BP Amoco"	0.0806066
Monsanto	0.0805206
Mattel	0.0803507
Aetna	0.0803232
Genentech	0.0799226
Alltel	0.0798927
UAL	0.0796235
Marketspan	0.0795083
"Cathay Pacific"	0.0794145
LIFFE	0.0790505
AMR	0.07869
Cendant	0.0786474
delta	0.07832
Ciena	0.0779698
Biogen	0.0778601
"Times Mirror"	0.0777353
Cabletron	0.0775685
AutoNation	0.0772727
Gillette	0.0772582
"El Al"	0.0772104
AMC	0.0764448
Merrill	0.0764188
UAM	0.0763938
Corel	0.07629
ARCO	0.0762592
"Bank of Scotland"	0.0760269
Swissair	0.0758119
"De Beers"	0.0754913
Healtheon	0.0752058
TYCO	0.075151
F.A	0.0748193
Deutsche	0.0744088
Penney	0.0743375
"Air France"	0.0740804
ENTERGY	0.0740207
"China Airlines"	0.073955
Delphi	0.0735704
PEOPLESOFT	0.0735002
"Gap Inc."	0.0734161
E-Trade	0.0732343
CMGI	0.0730169
Lufthansa	0.0728073
"Ford Motor"	0.0727954
B.S	0.0727819
"South African Airways"	0.0727297
SBC	0.072595
Eurotunnel	0.0725682
Compaq	0.0725666
Pfizer	0.0725654
ExciteAtHome	0.0725073
"KCP&AMP;L"	0.0724978
Vodafone	0.0720801
Glaxo	0.0720168
Alcoa	0.0720037
BellSouth	0.0719488
"RJR Nabisco"	0.0719431
Kellogg	0.0718681
"Ocean Spray"	0.0718299
Unilever	0.0716601
Totalfina	0.0713797
"Boston Scientific"	0.0713217
Priceline	0.0711956
Norwest	0.0709509
IDT	0.0708149
"Delta Air Lines"	0.070659
"Sharper Image"	0.0705448
Bertelsmann	0.0701658
IAI	0.0701463
MACROMEDIA	0.0699504
Providian	0.0698536
"MCI WorldCom"	0.0696915
HBOC	0.0694759
Georgia-Pacific	0.0694657
Qwest	0.0694534
Ahold	0.069451
GPU	0.0690159
Sepracor	0.0689999
"Levi Strauss &AMP; Co."	0.0689415
Bestfoods	0.0688574
Kodak	0.0687824
Mannesmann	0.0686344
Lockheed	0.0685762
Enron	0.0684297
Polaroid	0.0683956
BCE	0.0682912
MiniMed	0.0681409
"United Airlines"	0.0679761
Chiron	0.0679559
Checkfree	0.067854
"Air China"	0.0677924
Texaco	0.0677587
"Pacific Century"	0.0676081
Pepsico	0.0675968
NiSource	0.0675091
Seagate	0.0674601
AIRTRAN	0.0674411
Nortel	0.0673512
HKMA	0.0673274
Scripps	0.0672192
Sha	0.0671144
EarthLink	0.0668493
WELLPOINT	0.066814
"Bell Atlantic"	0.0667243
Northpoint	0.066715
Viacom	0.0666225
"Rite Aid"	0.0665983
AMD	0.0665179
"Phelps Dodge"	0.0661868
Amazon	0.0660689
McCaw	0.0659368
Telekom	0.0658609
Biman	0.0657904
Xerox	0.0657744
Emulex	0.0657742
Broadcom	0.0657013
"Con Ed"	0.0656686
Heinz	0.0656604
Kroger	0.0656593
Astra	0.0655864
Cisco	0.0654561
Ansett	0.0654534
Honeywell	0.0654467
"Southwest Airlines"	0.0653671
NCR	0.0653602
Ameritech	0.0649718
Hancock	0.0649592
Goldman	0.0649538
AGL	0.064922
GANNETT	0.0648026
HP	0.0646798
Federated	0.0646694
ENTREMED	0.0646111
CompUSA	0.0645588
Seagram	0.0645563
COSCO	0.0644914
Corning	0.0643045
Aeromexico	0.0643035
continental	0.0642718
"Norfolk Southern"	0.0642266
Hoechst	0.0641196
NTL	0.0641144
ICI	0.0640761
Emery	0.0639955
Dell	0.0639747
JAT	0.0639363
"Cox Communications"	0.0638655
"British Foreign Office"	0.0635099
BankBoston	0.0633122
AOC	0.0633115
))
(Baalbek (desc 2955.04) (sims
Saida	0.195952
Bamiyan	0.179598
Sidon	0.177247
Kandy	0.173211
Kailahun	0.150817
Juba	0.150455
Beersheba	0.145592
Murmansk	0.144599
Marjayoun	0.142763
Izmit	0.139902
Baotou	0.132399
Gudermes	0.130984
Pailin	0.130957
Makeni	0.130834
Leskovac	0.130711
"Anlong Veng"	0.130629
Najaf	0.125881
Taloqan	0.125685
Izmir	0.124451
Novosibirsk	0.122388
"Suva Reka"	0.122224
Herat	0.121991
Lhokseumawe	0.121906
Ashkelon	0.120658
Antalya	0.119794
"Bekaa Valley"	0.119648
Kizlyar	0.118744
Nabatiyeh	0.118292
Jaffna	0.118142
Rafah	0.117647
Manado	0.116934
Weifang	0.116349
Multan	0.114863
Bushehr	0.114831
Haicheng	0.114778
"Novi Sad"	0.114492
Mazar-i-Sharif	0.113908
"Banja Luka"	0.113483
Chengde	0.113125
Quanzhou	0.112794
Jalalabad	0.112745
Jinja	0.112143
Cochabamba	0.111784
Bekaa	0.110553
Urosevac	0.109412
Davao	0.108421
Kisumu	0.10794
Khabarovsk	0.10782
Uvira	0.107322
Nablus	0.106149
Zhangzhou	0.106034
Baoding	0.105123
Irbil	0.104881
Posoltega	0.104581
Adana	0.103846
Kuito	0.103555
Kandahar	0.10342
Argun	0.103389
Peshawar	0.102078
Datong	0.101165
Junik	0.101073
"San Pedro Sula"	0.10107
Haifa	0.100906
Pompeii	0.0998275
Gisenyi	0.0996984
Batticaloa	0.0994006
Huambo	0.0992569
Bulawayo	0.0977879
Catania	0.0973926
Cebu	0.0967133
Macoris	0.0964539
"San Cristobal"	0.0961147
Diyarbakir	0.0959923
Mosul	0.0958424
Beirut	0.0958166
Basra	0.0956557
Quetta	0.0953655
Jezzine	0.0952842
Liuzhou	0.0951911
BRIGHTON	0.0947374
Shashi	0.0941121
Matadi	0.0940029
Djakovica	0.0937838
Yekaterinburg	0.0935918
Anshan	0.0934415
Atambua	0.0932422
Vukovar	0.0930147
"Kosovo Polje"	0.0928011
Malisevo	0.0926418
Ensenada	0.0926403
Nazareth	0.0924457
Warri	0.0921632
Zamboanga	0.091704
Decani	0.09126
Tachilek	0.0909431
Brcko	0.0908185
Prijedor	0.0899867
Limassol	0.0896639
Bailundo	0.089327
Wenzhou	0.089252
Vedeno	0.0892294
Xuzhou	0.0885286
Nago	0.0885094
"Mazari Sharif"	0.0884845
Veracruz	0.0882378
Belacevac	0.0879968
ZHOUSHAN	0.0875759
Mankulam	0.0873725
Mashhad	0.08735
Beira	0.0870941
NIS	0.0869378
Golcuk	0.0869173
Odessa	0.0865667
Orahovac	0.0865295
Carthage	0.0862263
Ismailia	0.0862134
Kisangani	0.0860877
Andulo	0.0860786
Guayaquil	0.0854306
Ibadan	0.0854227
Hyderabad	0.0854166
Weihai	0.0852937
Taizhou	0.085209
Medellin	0.0849073
Avignon	0.0847248
Dushanbe	0.0846911
"Port Elizabeth"	0.0846274
Tangshan	0.0843598
Tripoli	0.0840913
Zhangjiagang	0.0840489
Suez	0.083898
Zhangjiajie	0.0838
Wuxi	0.083602
Kaduna	0.0835418
Luoyang	0.0833453
Nakuru	0.0833163
Lianyungang	0.0832586
Jayapura	0.0829924
Jericho	0.0829255
Zhongshan	0.0823326
Prizren	0.0820653
Khulna	0.0818969
Jingdezhen	0.081755
Cacak	0.0816779
Casas	0.081625
Ambon	0.081603
"CHIANG MAI"	0.081389
Cotabato	0.081151
Larnaca	0.0811182
Makhachkala	0.0809545
Dunhuang	0.0808823
Mazar-e-Sharif	0.0806858
Salzburg	0.0806095
Krasnoyarsk	0.0798717
Goma	0.0797622
Bangalore	0.0797134
PEC	0.0794647
Podgorica	0.0792719
Weimar	0.0790473
"San Sebastian"	0.0789767
Tapachula	0.0789276
Urus-Martan	0.0787984
Khost	0.078795
Aswan	0.0786792
Gnjilane	0.0785775
Vladikavkaz	0.0785116
"La Paz"	0.0783747
Yangzhou	0.0782053
Zhangjiakou	0.0781446
"Mount Pleasant"	0.0780318
Port-au-Prince	0.0779071
Qom	0.0777572
Shali	0.0772024
Gulu	0.0767786
Trincomalee	0.0766431
Lubumbashi	0.0766175
Guilin	0.0764698
"Del Rio"	0.0763901
Bo	0.0760708
Jinzhou	0.0759062
Sapporo	0.0756149
Kragujevac	0.0755874
Fushun	0.0752172
Kilinochchi	0.0752027
Tete	0.0749847
Vladivostok	0.0749259
Mbarara	0.074912
Jenin	0.0748959
Luxor	0.0748333
Lubbock	0.0746986
Oro	0.0745521
Isfahan	0.0741601
Dongguan	0.0741537
Moshi	0.0741445
Durres	0.0738885
Ur	0.0738008
Srinagar	0.073768
"Kosovska Mitrovica"	0.073685
Pusan	0.0735016
Bukavu	0.0734953
))
("Baath Party" (desc 4462.39) (sims
"Socialist Party"	0.17464
"National Democratic Party"	0.142675
"Colorado Party"	0.140974
"Republican Guard"	0.129861
"Nationalist Party"	0.121756
"Zimbabwe African National Union-Patriotic Front"	0.119678
Odai	0.11725
"Institutional Revolutionary Party"	0.116424
"Pakistan Muslim League"	0.115943
"Golkar Party"	0.112054
"African National Congress"	0.111961
"Democrat Party"	0.108694
Lakas-NUCD	0.108341
"Communist Party"	0.106867
"National League for Democracy"	0.105906
"National Resistance Movement"	0.105835
"Chinese Communist Party"	0.103261
"Congress Party"	0.0993044
"Palestine Liberation Organization"	0.0987932
"Kenya African National Union"	0.0985874
UNP	0.0983739
"Public Security Ministry"	0.0979619
"State Peace and Development Council"	0.097141
"Revolutionary Party"	0.0964702
"Likud Party"	0.0955132
"New Korea Party"	0.0950771
PCF	0.094991
"U.S. Immigration and Naturalization Service"	0.0947319
"Rainbow/PUSH Coalition"	0.0926647
"civil defense"	0.092662
PLO	0.0917071
"Social Democratic Party"	0.0916416
UMNO	0.0915267
CCM	0.0910999
"Vietnamese Communist Party"	0.0907123
"Rwandan Patriotic Front"	0.090711
UNIP	0.0906411
"Afghan Taliban"	0.0905694
"opposition party"	0.0904456
"United Malays National Organization"	0.0902329
UNAMET	0.0889196
MPLA	0.0887646
"Nepali Congress"	0.088525
UPU	0.0878934
"Labor Party"	0.0870323
FRELIMO	0.0867491
"Herri Batasuna"	0.0866906
CPP	0.0856314
"Liberal Party"	0.0851613
PDI	0.0851072
"Northern Fleet"	0.0850778
Fatah	0.0850381
"Croatian Democratic Union"	0.0841036
"Bharatiya Janata Party"	0.0840562
NLD	0.083966
"Christian Democratic Party"	0.0833349
Golkar	0.0828609
"United National Independence Party"	0.0825514
"Defense Agency"	0.0825157
"Great Hural"	0.0824751
"Revolutionary Command Council"	0.0821051
"Lesotho Congress"	0.0817294
"Popular Party"	0.0805631
"Independence Party"	0.0802771
ILO	0.0800832
"Defense Ministry"	0.0798739
CCF	0.0798713
"United Nations Conference on Trade and Development"	0.0796828
"Democratic Party"	0.0795406
"Liberal Democratic Party"	0.0779276
BJP	0.0777324
PRI	0.0777253
UUP	0.0777077
"Conservative Party"	0.0776774
ANC	0.0776359
"Interior Ministry"	0.0772158
"Awami League"	0.0770797
UNTAET	0.0766498
"Executive Committee"	0.0763881
FUNCINPEC	0.0763504
"Democratic Revolutionary Party"	0.0762745
MPR	0.0761349
SPS	0.0761301
NSC	0.0758571
"Christian Democrats"	0.0755784
"Congressional Black Caucus"	0.0752354
"Arab League"	0.07483
"Cambodian People's Party"	0.0744395
"World Tourism Organization"	0.0739749
FIA	0.0730677
Kanu	0.0729325
CDU	0.0725682
Media-MOST	0.0722113
"National Executive Committee"	0.0718455
LDP	0.0716721
"Supreme Council"	0.0714327
"Civic Democratic Party"	0.0713936
"Human Rights Commission"	0.0713857
"Board of Elections"	0.0712183
"Christian Social Union"	0.0709426
"Organization of Islamic Conference"	0.0707569
"Armed Police"	0.0704909
"Christian Democratic Union"	0.0704272
"Parti Quebecois"	0.0697582
government-in-exile	0.0697581
"National Election Committee"	0.0697055
"Ministry of Forestry"	0.0696436
"Southern Command"	0.0696283
"Revolutionary Guards"	0.069292
FIBA	0.0692525
"Motherland Party"	0.0688889
ITTF	0.0684289
NKP	0.0684007
"United Nations High Commission for Refugees"	0.0683677
BNP	0.0682672
"People's Party"	0.0682486
"National Front"	0.0680322
"Russian Duma"	0.0680231
"National Party"	0.0678487
EAC	0.0675362
"Palestinian Liberation Organization"	0.0673033
"Information Ministry"	0.0672187
Zanu-pf	0.0672029
Bi	0.0667339
"Communist Party of China"	0.0665043
PASOK	0.0663424
FAO	0.0663057
"General Council"	0.0661746
MMD	0.0660724
CPV	0.066022
PNP	0.0658885
"popular front"	0.0658109
"Council of State"	0.0655895
"William Morris"	0.0655838
UNEP	0.0654991
Interpol	0.0653437
"State Law and Order Restoration Council"	0.0653103
"People's Democratic Party"	0.0652185
UCI	0.0652134
NRM	0.0652132
RUF	0.0652047
"Ministry of Information"	0.0651462
INEC	0.0650833
Likud	0.0649634
FIVB	0.0648544
Archdiocese	0.0648493
"Church of Jesus Christ of Latter-day Saints"	0.0647774
"Intelligence Ministry"	0.0645643
"Log Cabin Republicans"	0.0645196
"Canadian Alliance"	0.0644529
"Federal Council"	0.064206
"Islamic Salvation Front"	0.0639432
"Federal Emergency Management Agency"	0.0637707
"Organisation of African Unity"	0.0636841
"Sam Rainsy Party"	0.0636148
IAAF	0.0635519
"Anti-Defamation League"	0.0630361
"election commission"	0.0629779
ESCAP	0.0624052
CEC	0.0621242
"Justice Party"	0.0620314
PNC	0.0618175
"Congress Working Committee"	0.061792
"Democratic Revolution Party"	0.0616176
"Russian Communist Party"	0.0615619
"Olympic Council of Asia"	0.0615161
"Khmer Rouge"	0.0615108
"Islamic Movement"	0.0614672
"World Jewish Congress"	0.0613173
"Osman Ali Atto"	0.0612483
WIPO	0.0610739
"Council of Economic Advisers"	0.0609474
PBC	0.0608494
"Khun Sa"	0.0607789
PBOC	0.0606301
OECD	0.0603558
"Commonwealth Ministerial Action Group"	0.060254
UF	0.0602417
"Agriculture Ministry"	0.0600869
"National Religious Party"	0.0600176
"Operation Rescue"	0.0599607
"U.N. Interim Force in Lebanon"	0.0599253
UNITA	0.0598899
"House International Relations Committee"	0.0597776
"Economic Community of West African States"	0.0597644
"Social Democrats"	0.0595474
"Indonesian Armed Forces"	0.0594825
"Moro Islamic Liberation Front"	0.0593543
"Palestinian Council"	0.0593107
"New Party"	0.0591559
"Bangladesh Nationalist Party"	0.059093
"U.S. Environmental Protection Agency"	0.0590411
"District Council"	0.0589511
FIFA	0.0588907
CPC	0.05888
UNESCO	0.0588197
IEC	0.0587624
"Local @@"	0.0587425
NTSB	0.0585972
"Health Ministry"	0.0585857
))
(Baba (desc 1124.63) (sims
Andreychuk	0.126715
Malu	0.0968462
Okada	0.0952959
Passarella	0.0914619
Insulza	0.0870044
Fernandes	0.0853767
"Joe-Max Moore"	0.0844386
Gauthier	0.0839634
Heinze	0.0838855
Guan	0.082766
Jacquet	0.0827147
Chevenement	0.0826244
"Ryan Kealy"	0.0825262
Solis	0.082241
"de Charette"	0.0818713
Talebi	0.0815828
Dougherty	0.0815781
Azizah	0.0812161
MURTHA	0.0809208
Hickman	0.0805655
Bergkamp	0.0804789
Narayanan	0.0800262
Scelzi	0.0771617
Shamshad	0.0771249
Jayakumar	0.0770553
Vogel	0.076851
Baggio	0.0764587
Wilhelm	0.0762452
Ainge	0.0757773
Hartsburg	0.075659
Jaffe	0.075599
Jovanovic	0.0750663
Hoch	0.0747285
Gilmour	0.0746507
Cota	0.0742931
Iglesias	0.0740522
Pustovoitenko	0.0737651
"Mauricio Ramos"	0.0734856
Strauss-Kahn	0.0732835
Robson	0.0732689
Auriemma	0.0731953
Pierson	0.0730311
Brundtland	0.0728918
Gossage	0.072051
"Hao Haidong"	0.0720499
Schmid	0.0718531
Heinrichs	0.071815
Canty	0.0716167
Gaston	0.0715153
Sampaio	0.0714778
Piot	0.0709118
Ghali	0.0708732
Meguid	0.0704993
Barrie	0.0703377
Chilavert	0.0694706
Gogel	0.069118
Mahdi	0.0690545
McCarron	0.0690307
Lepage	0.0690235
Ochoa	0.0688498
Sahnoun	0.0686736
Ganassi	0.0685977
Zanardi	0.068379
Vinatieri	0.0682666
Sautin	0.0680726
Ruehe	0.0678643
Batistuta	0.0675521
Meissner	0.0673433
Alatas	0.0666138
Cowan	0.066519
Najera	0.0664151
"Bank of Korea"	0.0663397
BEGAY	0.0662947
Woodard	0.0662661
Ratner	0.0659979
Napolitano	0.0658907
Ciampi	0.0658328
Moratinos	0.0657136
Zeng	0.0655981
Rahal	0.0654547
"Earnhardt Jr."	0.0653693
Donohue	0.0652087
Rabe	0.0650499
Tarawneh	0.064752
Ebersol	0.064614
Paxon	0.0645132
Prewitt	0.0639036
Kazhegeldin	0.0638677
LeClair	0.0638253
Juppe	0.0638161
Reyna	0.0637582
Choi	0.0636837
Jacobsen	0.0636525
Kovalev	0.0635979
Mercker	0.063591
Preki	0.063391
Cink	0.0633165
Brittan	0.0629125
Tobin	0.0627818
DiCarlo	0.0627463
Carbonneau	0.0626545
Lipponen	0.0625532
"one of the boys"	0.062439
Grossman	0.0624078
Wolfensohn	0.0624027
Finkel	0.0623709
Cleland	0.0623175
Fleischer	0.0622573
Kenyon	0.0619268
Zwick	0.0618996
Dar	0.0616618
Camdessus	0.0615689
Penders	0.0615554
Gascoigne	0.0614869
Copeland	0.0614852
Biffle	0.0612771
Azad	0.0612402
Zuma	0.0611289
Baum	0.0610719
Guterres	0.0609905
hermosillo	0.0608812
Rodionov	0.0608005
Maruyama	0.0607539
Modell	0.0605184
DiCicco	0.0605154
Zou	0.0604807
Conway	0.0604077
Kennelly	0.0603412
"Van Roost"	0.0603103
Salaam	0.0602813
Winn	0.0602632
"Fredrik Olausson"	0.0601174
DiMaio	0.0601051
Xiong	0.0601044
O'Reilly	0.0600409
Sahadi	0.0598363
Laudrup	0.0598258
Corretja	0.0598256
Zambrano	0.0597597
Kostov	0.0597072
O'Connell	0.0594181
Hightower	0.0593923
Moeller	0.0593038
Kohn	0.0592951
Abdur-Rahim	0.0591554
Flockhart	0.0590872
Tuberville	0.0590547
Moakley	0.0588871
Graziani	0.0587729
Bebeto	0.0587263
TALBOT	0.05871
"Ariel Ortega"	0.0585827
Tomey	0.0583887
Milbrett	0.0582896
Bodine	0.0582224
nance	0.0581788
Ikimi	0.0581331
Gregory	0.0581186
Scharping	0.0579859
Ince	0.0578949
Garces	0.0578569
Kuehne	0.0578184
"administration official"	0.0577534
Griffiths	0.0576628
"Tiffeny Milbrett"	0.0575384
Verney	0.057525
Cienfuegos	0.0574218
"Peter Bondra"	0.0574135
Weisman	0.0573787
Ogata	0.0571817
Mustafa	0.0571249
Artest	0.0570555
Brandt	0.0570267
"Elliott Walden"	0.0570017
Goossen	0.0565566
Menard	0.0565477
Hornaday	0.0565224
Shurmur	0.0565048
Cabrera	0.0564794
Drexler	0.0564552
Selanne	0.0564226
Anelka	0.0563469
Guerra	0.0563404
Sydor	0.0563031
Hollins	0.0562631
Lindland	0.0562385
Atler	0.0561878
Fedorov	0.0561477
Tait	0.0560562
Ikeda	0.0559901
Bullard	0.0559588
Driscoll	0.0558088
Monahan	0.0556294
"Secretary General Esmat Abdel-Meguid"	0.0555554
Langenbrunner	0.0554786
Kremer	0.0554466
Hatteberg	0.0554426
"Jeff Hornacek"	0.0554025
Anthony	0.0553534
"Cindy McCain"	0.0553097
))
(Babbitt (desc 9477.13) (sims
"Bruce Babbitt"	0.173475
Glickman	0.134039
Ickes	0.122123
McCaffrey	0.120931
Berger	0.117302
Richardson	0.115076
Cohen	0.113686
Safir	0.110907
McCurry	0.109798
Shalala	0.108859
Cisneros	0.108334
Gramm	0.1066
Kennard	0.106161
Blumenthal	0.105396
Advani	0.10373
Daschle	0.103515
Gephardt	0.103213
Lott	0.102992
Mandelson	0.102807
Rubin	0.1021
Berenson	0.101831
Greenspan	0.101691
Daley	0.100878
"Bill Richardson"	0.100517
Torricelli	0.100507
Koskinen	0.0982801
Reno	0.0977362
Spitzer	0.0961221
"Donna Shalala"	0.0953628
Goldin	0.0951013
SHUSTER	0.0949043
Cellucci	0.0948922
Weizman	0.0942487
Cuomo	0.094197
Barshefsky	0.0940634
Rossello	0.0939603
Symington	0.0939244
Albright	0.0932602
Eizenstat	0.0932495
Mudge	0.0929679
Meissner	0.092878
Keating	0.0927454
Lockyer	0.0926693
Yosef	0.092052
"Rodney Slater"	0.0913028
"William Cohen"	0.0908727
Fischer	0.0897954
Hastert	0.0896021
Zedillo	0.0891878
Hyde	0.0891301
Riley	0.0890216
Leavitt	0.0887807
hale	0.0887725
Currie	0.088643
Faulder	0.088473
Quayle	0.0884409
Whitman	0.0884372
Hubbell	0.0882778
Kohl	0.0880814
Steele	0.0880654
Riordan	0.0879478
Mandela	0.0877857
Galvin	0.0877564
Siazon	0.0867126
Craig	0.0865624
Blair	0.0865569
Giuliani	0.0864896
"Dan Glickman"	0.0863874
"Lawrence Summers"	0.0863514
Markey	0.0862691
Moynihan	0.0858831
Carnahan	0.0858523
Lockhart	0.0856953
Hybl	0.08564
Ruthardt	0.0854679
Tripp	0.0850858
Caldera	0.0849759
Aguirre	0.0848309
"Janet Reno"	0.0847418
Bustamante	0.0846819
Annan	0.0845895
Echegaray	0.0843569
Reimer	0.0843416
Espy	0.0842556
Pataki	0.0841385
Friedman	0.0836795
Lee	0.0836635
Schmalensee	0.0835967
Cheney	0.0834144
Gingrich	0.0832791
Reilly	0.0831022
Jelisic	0.082675
Chung	0.0825823
Welch	0.0825005
"Mo Mowlam"	0.0823496
Huang	0.0822691
Caddell	0.0821595
Selig	0.082101
Garza	0.0820686
Bakaly	0.0820227
Maslyukov	0.0820163
Deutch	0.0820013
Ecevit	0.0818908
Freeh	0.0818861
Cardoso	0.0817911
Kerry	0.0817029
Armey	0.0815804
Capano	0.0811859
Sharif	0.0810049
LeFave	0.0809968
Sakakibara	0.0808948
Engler	0.0807409
Starr	0.080678
Soros	0.0803046
Lieberman	0.0802832
Atwood	0.0802806
Garcetti	0.0801121
Hu	0.0800411
Diouf	0.0799862
Helms	0.0799654
LaPierre	0.0799619
Barksdale	0.0799266
Holbrooke	0.0799203
Icahn	0.079873
Flanagan	0.0797495
Taft	0.0796697
DOLE	0.0796013
Seleznyov	0.0795556
Kessler	0.0795052
Bennett	0.0794649
Quackenbush	0.0792633
Mahathir	0.0791195
Prewitt	0.0790867
Hagel	0.0787519
Gorton	0.0787008
Mease	0.0786709
Levitt	0.0784344
Barr	0.0782596
Chretien	0.0781101
Mordechai	0.0780851
Keegan	0.0780731
Samaranch	0.0780381
perry	0.077971
Kouchner	0.0776859
Mauro	0.0774714
ACLU	0.0774609
Estrada	0.0773661
Mowlam	0.0771311
D'Alema	0.0770049
Tagliabue	0.0769453
Goh	0.0769453
McCall	0.0769347
Carroll	0.0769166
Salinas	0.0765636
Netanyahu	0.0762977
Pastrana	0.0762959
"National Security Adviser Sandy Berger"	0.0762832
Ashcroft	0.076281
Wolfson	0.0762807
Danforth	0.0761717
"Christie Whitman"	0.0760501
Rossotti	0.0760157
Harkin	0.0759233
McDermott	0.0758864
McVeigh	0.0757944
McLane	0.0757448
"William Perry"	0.0757361
Chen	0.0756168
Trie	0.0755774
Constantinescu	0.0754843
Indyk	0.0753597
Bauer	0.0752553
Borodin	0.0751927
Hsia	0.0749042
Robertson	0.0748848
Locke	0.0748797
Meehan	0.0747861
Verney	0.0747421
Crenshaw	0.0746849
Hallinan	0.0745768
Kendall	0.0745158
Ruehe	0.0744769
Abu-Jamal	0.0744647
Ciampi	0.0744101
Piot	0.0743804
Abernathy	0.0743463
Rendell	0.0743449
Arpaio	0.0743123
Lamberth	0.0742275
Lim	0.0740684
Difrancesco	0.0740261
Lindsey	0.0739016
Archer	0.073788
Kesri	0.0737869
Kaye	0.0736635
Schroeder	0.0735132
Feldman	0.0734127
Schwarz	0.0733565
weld	0.0733472
Chuan	0.0731425
))
(babble (desc 1735.29) (sims
gibberish	0.0966383
drivel	0.0957902
blather	0.0869813
verbiage	0.0821187
Babel	0.075226
hubbub	0.0646883
chitchat	0.0579071
nonentity	0.0573666
rasp	0.0527001
mumbo-jumbo	0.0522342
nonsense	0.0508386
provocateur	0.0507148
multiplicity	0.050594
brouhaha	0.0497633
expletive	0.0487821
witticism	0.0476718
epigram	0.0474331
legalism	0.0471966
distinctiveness	0.0465705
"hue and cry"	0.0454188
jargon	0.0451205
ADO	0.0450303
fakery	0.0447337
patter	0.0441269
"two words"	0.043986
nicety	0.0439747
picketers	0.0435545
craziness	0.0435381
timidity	0.0425416
"four-letter word"	0.0424191
syllable	0.0419221
"defense mechanism"	0.0414878
"coca crop"	0.0414293
dictum	0.0412868
experimenter	0.0411026
quagmire	0.0403573
misjudgments	0.0403173
rumour	0.0402572
))
(Babcock (desc 1102.86) (sims
Wolfson	0.154338
Moonves	0.15254
Ruehe	0.140749
Rossotti	0.130209
Sheehan	0.124971
Kyprianou	0.124661
Waxman	0.120769
Meissner	0.118896
hodgson	0.118797
Dolan	0.117787
Dragila	0.117477
Advani	0.114594
Wenger	0.1144
Granik	0.114114
Finkel	0.113953
Allchin	0.112995
Cui	0.112814
Hess	0.112648
Schmid	0.111918
Devine	0.109287
Caddell	0.109113
Bustamante	0.10909
Tomey	0.107199
Heinrichs	0.107113
Bolger	0.107004
Zucker	0.106632
Fleischer	0.105921
Flanagan	0.105472
Yastrzhembsky	0.105219
Singson	0.105067
Kessler	0.104724
Polian	0.104528
Sheng	0.104212
Shinn	0.103747
Ruggiero	0.102975
Manley	0.102756
Ainge	0.102528
Kasoulides	0.102243
Prewitt	0.102191
Hunsicker	0.101793
Rothenberg	0.101259
Valenti	0.101149
Klima	0.100579
Siazon	0.0994222
Cowher	0.0991981
Runyan	0.0988546
Cronin	0.0986921
Piot	0.0984679
Cline	0.0981571
GAGE	0.0972173
Rong	0.096468
Galvin	0.0964245
Briscoe	0.0963707
Zambrano	0.0960512
Condit	0.0960337
Allard	0.0959539
Ono	0.0959254
McKinnon	0.095919
Eskew	0.0958807
Schuerholz	0.0948268
Groscost	0.0946371
Riley	0.0945477
Aventajado	0.0940483
Kumar	0.0936658
Blazevic	0.0934937
Skiles	0.0932921
Paxon	0.0926964
Waddell	0.0926927
Grasso	0.092525
Samuelson	0.09238
Linder	0.0918816
Alarcon	0.0915958
Insulza	0.0915026
Kyl	0.0913048
Butterworth	0.0912192
Okada	0.0911805
Ratner	0.0906171
Drummond	0.0904389
Pelosi	0.0903598
Knapp	0.0903197
Brownback	0.0903087
Chao	0.0901967
Ratliff	0.0901896
Hyman	0.0900961
Naumann	0.0895771
Braswell	0.0894421
Goldin	0.0893125
Duffy	0.0888985
Alioto	0.0888933
Tsang	0.0887912
Desormeaux	0.0885797
Greenwald	0.0885755
Whitsitt	0.0884415
Bettman	0.0883358
Kupchak	0.0883111
Solich	0.0882979
Lowry	0.0882889
Caldera	0.0882838
Cashman	0.0882659
Fieger	0.0879158
Popovich	0.0876025
Hauser	0.0876021
Geiger	0.0875194
Zarb	0.0874541
Kennard	0.0874514
Monson	0.0873907
Edelman	0.0873288
Gainey	0.0870448
Cortines	0.0868347
Inhofe	0.0864925
Myhrvold	0.0863622
Shevardnadze	0.0863614
Eizenstat	0.0863068
Edelstein	0.0861551
McCurry	0.0860018
"market watcher"	0.0858254
Gullikson	0.0857712
Andreessen	0.085393
Sherrill	0.0853771
MCGEE	0.0853626
Verney	0.0852513
MTI	0.0852336
Eubanks	0.0848014
Conte	0.0844272
Weisman	0.0842811
Jauron	0.0842765
Summitt	0.0842163
"administration official"	0.0837896
Molinari	0.0837857
Haines	0.0836488
Clements	0.083599
Canady	0.0834645
"La Russa"	0.0832381
Ponciano	0.0830501
Reinhardt	0.0829786
Kearin	0.0827181
LaPierre	0.0826939
Lindland	0.082464
Donnan	0.0822642
Larson	0.0821249
Cowan	0.0820518
Bochy	0.0820437
Jarrell	0.0819835
Diouf	0.0819453
Farber	0.0817667
Ebersol	0.0817469
Jeffers	0.0817179
Sinclair	0.0816862
Sasser	0.0815121
HELLER	0.081478
Solis	0.0814339
Sensenbrenner	0.0810456
Beckwith	0.0810416
Chambliss	0.081005
Storin	0.0809968
Patten	0.0809617
Nasser	0.0809088
Difrancesco	0.0808248
Jobe	0.0808185
BURNHAM	0.0807994
Bellamy	0.0806486
Wilkens	0.0806
Troussier	0.0805808
Hine	0.0803027
McDaniel	0.0798921
Dunleavy	0.0798729
McInnis	0.0795563
Engelberg	0.0795412
Atler	0.07951
Markey	0.0794769
Inman	0.079378
Zou	0.0793426
Hamill	0.0792077
Lockyer	0.0791751
Milbury	0.0791657
Beazley	0.0791265
Felton	0.0789425
Bronfman	0.0787648
Sykes	0.0786778
ISSEL	0.0786278
Schultz	0.0784767
Siegel	0.0783719
Kurth	0.0783612
Dyer	0.0782377
Wan	0.0782111
McWilliams	0.0781135
Koskinen	0.0780439
Coffey	0.0778538
McDonough	0.0777834
Lampkin	0.0777068
Satcher	0.0777055
Rubenstein	0.0776347
Browne	0.0774945
Tarawneh	0.0774855
Redd	0.0774048
Rendell	0.0773208
Ganassi	0.0771667
McCollum	0.0771265
Krzyzewski	0.0771094
Saunders	0.0769477
))
(babe (desc 20329.8) (sims
"Toy Story"	0.0688357
girl	0.0678215
"Austin Powers"	0.0630712
starlet	0.057753
chick	0.0576671
blonde	0.0573065
"young woman"	0.057251
bimbo	0.0571153
heroine	0.055964
actress	0.0548457
CAT	0.0546679
showgirl	0.0546502
Tarzan	0.0544686
"Forrest Gump"	0.0538913
baby	0.0538261
"Fight Club"	0.0533675
"Babe Ruth"	0.0530441
"Star Wars"	0.0530188
mom	0.052486
Antz	0.0515358
witch	0.0510921
Daddy	0.050919
"young lady"	0.050036
"Jurassic Park"	0.0500038
ingenue	0.0494066
monster	0.0486142
Titanic	0.0484876
celebrity	0.0481016
Muppets	0.0479049
"American Pie"	0.0478292
geek	0.0474473
Batman	0.0472035
Maris	0.0470875
Ruth	0.0470325
"movie star"	0.0468397
pig	0.0460426
Rambo	0.0460242
diva	0.0455449
"James Bond"	0.0455145
"Saving Private Ryan"	0.0454096
"King Kong"	0.0453754
lady	0.0453362
"bad guy"	0.0453032
bride	0.0452863
bunny	0.0449372
cheerleader	0.0446827
"Inspector Gadget"	0.0446813
ghost	0.044641
Frankenstein	0.0446169
"Meet Joe Black"	0.0444313
wimp	0.0444011
Hooker	0.0442888
"little girl"	0.044272
supermodel	0.044199
"Night Fever"	0.0440682
puppy	0.0439934
dude	0.0438829
girlfriend	0.0438171
X-MEN	0.0436592
blockbuster	0.043362
Godzilla	0.0433399
hero	0.0432766
hunk	0.043021
Princess	0.0429792
Fosse	0.0424258
soprano	0.0423364
"Cruel Intentions"	0.0422032
"leading lady"	0.0420155
"young man"	0.0419581
Halloween	0.0419496
Selena	0.0419263
somebody	0.0418627
doll	0.0418415
remake	0.0415543
godfather	0.041466
musical	0.0414184
"Star Trek"	0.0413264
whore	0.0412772
lifeguard	0.0411461
nerd	0.0408233
"Patch Adams"	0.0406562
JFK	0.0406445
stylist	0.0405896
Gladiator	0.0405488
"South Park"	0.0405261
swinger	0.0404201
bird	0.0402345
Zorro	0.0402012
Matrix	0.0401317
playmate	0.0400836
mistress	0.0400352
lover	0.040026
twin	0.0400196
))
("Babe Ruth" (desc 21065.7) (sims
"Mickey Mantle"	0.199624
"Hank Aaron"	0.193562
"Ted Williams"	0.191219
Ruth	0.1886
"Ty Cobb"	0.181775
"Lou Gehrig"	0.177795
"Roger Maris"	0.174289
"Willie Mays"	0.173011
"Stan Musial"	0.166179
"Joe DiMaggio"	0.16366
"Jimmie Foxx"	0.132517
"Mark McGwire"	0.125485
"Sammy Sosa"	0.1204
"Ernie Banks"	0.114581
"Walter Johnson"	0.114186
"Hank Greenberg"	0.112549
"Yogi Berra"	0.107451
"Sandy Koufax"	0.107417
"Henry Aaron"	0.107077
"Eddie Mathews"	0.106024
Maris	0.102187
"Joe Louis"	0.102088
"Reggie Jackson"	0.101794
"Jackie Robinson"	0.0958097
"Michael Jordan"	0.0952333
"Pete Rose"	0.0949663
"Ken Griffey Jr."	0.0940145
McGwire	0.0916805
"Ben Hogan"	0.0897047
DiMaggio	0.0889443
"Hack Wilson"	0.0889089
"Bob Feller"	0.0879977
"Johnny Bench"	0.0873262
"Marilyn Monroe"	0.0841843
Sosa	0.0839691
"Roberto Clemente"	0.083969
"Muhammad Ali"	0.0831166
"Jim Brown"	0.0827005
"Gordie Howe"	0.0823443
"Honus Wagner"	0.0820406
"Roger Clemens"	0.0815354
"Frank Robinson"	0.079234
"Duke Snider"	0.0788102
Aaron	0.0779209
"Jose Canseco"	0.0772195
"George Brett"	0.0769731
"Tony Gwynn"	0.0767307
"Jesse Owens"	0.0759156
Griffey	0.0754553
"Juan Marichal"	0.074414
"Jack Nicklaus"	0.0737266
"Nolan Ryan"	0.0735703
"Wilt Chamberlain"	0.0728217
"Cy Young"	0.0704581
"Cal Ripken Jr."	0.070359
"Roy Campanella"	0.0700909
slugger	0.0699498
"Wayne Gretzky"	0.0687779
mantle	0.0680266
"Barry Bonds"	0.0679853
"Brady Anderson"	0.067107
"Mo Vaughn"	0.0668038
Gehrig	0.0661506
"Albert Belle"	0.0657486
"Pedro Martinez"	0.0656874
"Mike Schmidt"	0.0655718
"Larry Bird"	0.0655475
"Arnold Palmer"	0.0651084
"Tiger Woods"	0.0642975
"Gary Sheffield"	0.0641247
"Julius Erving"	0.0637478
"Bob Gibson"	0.0637221
"Juan Gonzalez"	0.0637118
"Cal Ripken"	0.0634809
"Kareem Abdul-Jabbar"	0.0625104
"Whitey Ford"	0.0622883
Pele	0.0618255
"Carl Yastrzemski"	0.0605217
"Bobby Orr"	0.0600104
"Mike Piazza"	0.0598652
"Tony Dorsett"	0.0596898
"John Wooden"	0.0596801
"Magic Johnson"	0.0594737
Gretzky	0.0589433
"Bill Russell"	0.05852
"Byron Nelson"	0.0577664
"Nomar Garciaparra"	0.0576214
Canseco	0.0573703
Clemens	0.0571242
"Ken Griffey"	0.0569043
"Roy Emerson"	0.0566013
"Alex Rodriguez"	0.0562658
"Walter Payton"	0.0562523
Vaughn	0.056042
"Joe Morgan"	0.0559084
"Bernie Williams"	0.0557199
"Martina Navratilova"	0.0551537
"Paul O'Neill"	0.0548007
"Bear Bryant"	0.0543738
"Manny Ramirez"	0.0542755
"George Washington"	0.0542135
"Bobby Jones"	0.054014
Chamberlain	0.0534147
Ripken	0.0532907
Leyritz	0.05305
babe	0.0530441
Mays	0.0527575
"Andres Galarraga"	0.0525746
"Derek Jeter"	0.0524698
"Jay Buhner"	0.0524538
Rodriguez	0.0523859
"Rickey Henderson"	0.0520562
"Frank Thomas"	0.051685
"Greg Maddux"	0.0515299
"Shawn Green"	0.0515108
greats	0.0514184
"Scottie Pippen"	0.0513728
Elvis	0.0510098
"Fred McGriff"	0.0509702
"Denny Neagle"	0.0509535
"Abraham Lincoln"	0.0509381
Finley	0.0508326
"Elvis Presley"	0.0507591
hitter	0.0506889
Nicklaus	0.0506172
Gonzalez	0.0504788
Diana	0.0503953
Glaus	0.0503175
"Joe Montana"	0.0498706
"Darryl Strawberry"	0.0496858
"Randy Johnson"	0.0494552
"Greg Vaughn"	0.0494014
Gant	0.0490512
Surhoff	0.0489316
"Dante Bichette"	0.0487594
"Edgar Martinez"	0.0487064
Gwynn	0.0486148
Ryan	0.0484281
"Jerry Rice"	0.0483694
"Wade Boggs"	0.0481301
"Jim Thome"	0.0481147
"Payne Stewart"	0.048068
"Chuck Knoblauch"	0.0478232
"Dan Marino"	0.0477557
"David Duval"	0.0475733
Alou	0.0475605
Yankee	0.047559
Williams	0.0475372
Karros	0.0474266
Galarraga	0.0474143
hero	0.0474087
"Tom Seaver"	0.0473673
Piazza	0.0472097
"Mother Teresa"	0.0471301
"Ron Gant"	0.0468169
Mondesi	0.04655
"Carl Lewis"	0.0463145
"Jim Leyritz"	0.0462876
"Bjorn Borg"	0.0460922
"Joe Torre"	0.0460013
"John Elway"	0.0459099
Brett	0.0458203
Jeter	0.045675
"Carlton Fisk"	0.0454131
"Ronald Reagan"	0.0452013
Knoblauch	0.0451027
hogan	0.0450394
Johnson	0.0449598
"Frank Sinatra"	0.0449196
Boggs	0.0447349
"Leonardo DiCaprio"	0.0447337
"Sam Snead"	0.0446928
"Brian Jordan"	0.0443979
Garciaparra	0.0443458
"David Wells"	0.0442108
"Richard Petty"	0.0441887
Beatles	0.0441743
"Elizabeth Taylor"	0.0441633
"Ricky Williams"	0.0441389
"major leaguer"	0.044103
"Barry Sanders"	0.0439933
"Larry Walker"	0.0438349
Hitler	0.0438183
"first baseman"	0.0435978
"David Segui"	0.0435743
Alomar	0.0435591
Larkin	0.0434815
"O.J Simpson"	0.0434665
Hundley	0.0434295
"John Wayne"	0.0432736
"Troy O'Leary"	0.0430712
legend	0.0430125
"home run"	0.0429872
Hollandsworth	0.042981
Joe	0.0429735
"Billie Jean King"	0.0429697
"Barry Larkin"	0.0429062
"Eric Karros"	0.0428509
"Darin Erstad"	0.0428268
"Dean Smith"	0.0427109
))
(Babel (desc 2135.65) (sims
"El Mundo"	0.136179
Maariv	0.127017
Hurriyet	0.126146
"Yediot Ahronot"	0.115571
"Koha Ditore"	0.115474
Izvestia	0.114258
"El Pais"	0.110625
"Le Figaro"	0.109151
Al-Thawra	0.100868
"Nihon Keizai"	0.0996638
"Nhan Dan"	0.098274
Kommersant	0.0981129
"Al Ahram"	0.0961092
Al-Ahram	0.0959427
Politika	0.0958893
"Business Day"	0.0931669
Bild	0.0899113
"Alam Al Yom"	0.0898421
"Le Monde"	0.0895245
Granma	0.0875801
"New Nigerian"	0.0866966
L'Equipe	0.0847986
"Asahi Shimbun"	0.0842406
"Iran News"	0.0824415
"The Monitor"	0.0814135
"Nihon Keizai Shimbun"	0.0806153
"Gulf News"	0.0805583
Haaretz	0.0803272
Asahi	0.0793381
al-Hayat	0.0790869
"Tehran Times"	0.0784795
"Al Hayat"	0.0764445
Yomiuri	0.0756695
"Kenya Times"	0.0756087
babble	0.075226
Noticias	0.0736322
Sera	0.0716429
Reforma	0.0712094
"Vietnam News"	0.0709126
Tous	0.0694854
Pisa	0.0693113
"East African Standard"	0.0692804
"Yomiuri Shimbun"	0.0692079
Inquirer	0.0688078
"The New Vision"	0.0684255
Salam	0.0681183
Sowetan	0.0669441
"Rodong Sinmun"	0.0667774
"Red Star"	0.0667524
larynx	0.0648211
"Wen Wei Po"	0.0627019
"Moscow Times"	0.0623569
frontpage	0.0620422
"Khaleej Times"	0.0608583
"National Post"	0.0605164
"Daily Mail"	0.0604531
"sports section"	0.0601753
Itogi	0.0595636
"Jerusalem Post"	0.058854
Enquirer	0.0585288
Damm	0.0585102
"Financial Times"	0.058349
Malaya	0.0583314
"Jakarta Post"	0.0571219
"South China Morning Post"	0.0567194
"Jordan Times"	0.0565452
"Atlanta Constitution"	0.0557372
"U.S. News"	0.0552419
"Daily Nation"	0.0549187
"Indonesian Observer"	0.0546706
Raoux	0.0537144
"Kathmandu Post"	0.0536756
Schalken	0.0531273
"Paris St Germain"	0.0530709
"New Straits Times"	0.0520516
"Barbara Schwartz"	0.0513652
"National Enquirer"	0.0511899
"Asa Carlsson"	0.0509792
"Guangming Daily"	0.0509301
parsing	0.0509132
"Business Times"	0.0508443
Bruguera	0.0507834
Prinosil	0.050679
"tabloid newspaper"	0.0506533
Brazile	0.0501657
"Sarah Pitkowski"	0.0496304
multiplicity	0.0493562
"Daily Telegraph"	0.0492533
"Weekly Standard"	0.0489467
Judas	0.0482739
"emotional state"	0.048116
"Patty Hearst"	0.0480213
"Des Moines Register"	0.0479964
"Steve Campbell"	0.0476712
metical	0.047636
"Bangkok Post"	0.0472811
Nacional	0.0470551
"jockey club"	0.0468493
Dong	0.0466967
"New Light"	0.0464496
"Arnaud Di Pasquale"	0.0463964
Edberg	0.0460661
telegraph	0.045843
Akbar	0.0456377
"Daily Star"	0.0454929
Clavet	0.0454705
"Business Weekly"	0.0454676
gazette	0.04521
"written word"	0.0450748
"New Vision"	0.0450145
Lareau	0.0449908
Sidot	0.0447621
mimicry	0.044628
zillion	0.0439399
Dosedel	0.0439067
"Atlanta Journal"	0.0436248
"USA TODAY"	0.0436245
Ulihrach	0.043524
readout	0.0433748
Dana	0.0433036
"Palm Beach Post"	0.0431526
"Bradford City"	0.0430801
Schett	0.0430499
classifieds	0.0428396
MANA	0.0427205
rulebook	0.0425674
Hongyuan	0.0422634
al-Sahaf	0.0421944
Haarhuis	0.0418028
"New Testament"	0.0417392
Kelsey	0.0415528
Habsudova	0.0414731
Berasategui	0.0412477
"American Chanda Rubin"	0.0411508
"minor-league team"	0.0411253
"Zambia Daily Mail"	0.0410255
SIESTA	0.0408299
whit	0.0406866
"public transit"	0.0404875
"Washington Times"	0.0404526
Dungy	0.0403795
"Turkish Daily News"	0.0403543
"Bay Bridge"	0.0402731
"lower jaw"	0.0402539
"news bulletin"	0.0401761
"Stars &AMP; Stripes"	0.0401496
Stolle	0.04014
coding	0.0400398
))
(Babitsky (desc 3349.88) (sims
Kiareldeen	0.18518
"Andrei Babitsky"	0.159368
Imperatori	0.152017
Nikitin	0.14675
Karbaschi	0.13315
Lazarenko	0.128136
Priebke	0.126171
Ibrahim	0.122804
Ntakirutimana	0.121668
Resendez-Ramirez	0.121028
Meston	0.120656
Ntuyahaga	0.120652
Shayler	0.120587
Stayner	0.119148
Hofer	0.116501
Bishara	0.116396
Einhorn	0.11507
Alves	0.114562
Kaunda	0.112874
Mikhailov	0.110756
Chmura	0.109788
Yazdi	0.108539
Berenson	0.108387
Kalejs	0.108071
Ocalan	0.103884
Meskini	0.102549
Cavallo	0.102462
Arnett	0.101857
Soliah	0.101793
Villanueva	0.101436
Pollard	0.0998226
Faget	0.0979343
Gusinsky	0.0974893
Odeh	0.0973695
Baumhammers	0.0965384
Agca	0.0962368
"El Hage"	0.0957799
Haouari	0.0955303
Sakic	0.0942134
Neulander	0.0937307
Kopp	0.093646
"Iranian POWs"	0.0927576
Arad	0.0924681
Gauthe	0.092009
Swango	0.0912386
"Russell Peeler"	0.090209
Mcbride	0.0900131
Abiola	0.089219
"Abu Nidal"	0.0887336
"Maturino Resendiz"	0.0886462
Montesinos	0.0885553
Hage	0.0884564
Carruth	0.0878424
Hiett	0.0876551
xu	0.0876413
Yassin	0.0875256
LeFave	0.0874436
Brunner	0.0871776
Nathaniel	0.0869185
Kodikian	0.086585
Sankoh	0.0865487
Benedetti	0.0863958
Gusmao	0.0851689
Montiel	0.0850767
Shulman	0.0847211
Pinochet	0.0846468
Arizmendi	0.0845761
Kazhegeldin	0.0844905
Xanana	0.0839005
Mattysse	0.0831107
Silverman	0.082529
"Wen Ho Lee"	0.0806901
Bove	0.0800798
"Ta Mok"	0.0800112
Sarsour	0.0795943
"Dinko Sakic"	0.0792132
Jewell	0.0791421
Papon	0.0788282
Gosper	0.0788116
Manbar	0.0784324
Fassett	0.0781046
Sebaggala	0.0777591
Oviedo	0.0776275
Hoffmann	0.0771484
"Raul Salinas"	0.0765705
Batouty	0.0763941
Faulder	0.0761579
Marinovich	0.0761046
leeson	0.0759037
Elhage	0.0757965
Blackthorne	0.0757648
Kovacevic	0.0757641
Osama	0.0757502
Ghani	0.0756956
Speer	0.0756648
Shipman	0.0755877
Postol	0.0754789
Valenzuela	0.0753428
Kerik	0.0752837
Trevi	0.0751456
Hirschfeld	0.0748199
Nasrin	0.0742449
"Xu Wenli"	0.0739583
"Iraqi POWs"	0.0738565
"Bin Laden"	0.0736553
Kimeses	0.0733712
Romanowski	0.0724463
"Suu Kyi"	0.0724306
Haney	0.072424
Blackman	0.0719456
Stahl	0.0717183
Ritter	0.071717
Anwar	0.0708827
Karr	0.070788
Frankel	0.0707852
"Augusto Pinochet"	0.0706101
Mitnick	0.0704867
Prabowo	0.0703487
"Iranian Jews"	0.0702602
detainee	0.0699736
Meggett	0.0698872
Gravano	0.0696243
Kaczynski	0.0694597
Paciello	0.0692835
Munoz	0.0689634
Salim	0.0688941
Slaney	0.0688425
Tran	0.0686857
Livoti	0.068597
furrow	0.0685729
Giacchetto	0.0684282
Naumann	0.0682356
Ahmed	0.0682291
Skakel	0.0680535
Gritz	0.0680342
Hsia	0.0675673
Ganga	0.0673249
Farris	0.067181
Hensley	0.067153
Ershad	0.0666936
Garofalo	0.06663
Cheng	0.0665821
Pagones	0.066474
Vasquez	0.0662013
Huang	0.0659905
Soyinka	0.0659899
"Michael Skakel"	0.0656949
Fahey	0.0656045
BARNICLE	0.0654804
illegals	0.0654154
POW	0.0652808
Hinckley	0.0650492
Ruelas	0.0649746
Gotti	0.0648694
Roussel	0.0647379
Jenoff	0.0645852
Al-Amin	0.0644238
"another @@.@ percent"	0.0642854
Modell	0.0641059
Rowe	0.0640678
Dokmanovic	0.0640395
Xiao	0.0639355
Fagan	0.0637882
Krajisnik	0.0634341
Hamid	0.0630208
Martorano	0.062921
Amedure	0.0629064
Ortega	0.0628995
Deri	0.0628977
Kurtz	0.0628552
Ummi	0.0625542
Pratt	0.0624747
Lacresha	0.0623791
Weizman	0.0623786
Shahak	0.062203
Barton	0.0620719
Palczynski	0.0617106
Hajjarian	0.0615795
Rudolph	0.0615685
"Peter Arnett"	0.0614312
Bonner	0.0613753
Kimes	0.0613129
Appleby	0.0611454
Thaci	0.0610415
Rashid	0.0610119
Hatfield	0.0608636
Speight	0.0608467
Dowd	0.0606468
Japanese-Americans	0.0605643
Murad	0.0604399
KEVORKIAN	0.0603993
Simpson	0.0601624
Salinas	0.0599813
Mudge	0.0599644
Harris-Lewis	0.0597268
Karadzic	0.0597176
Coles	0.0595473
Echegaray	0.0595132
"Wang Youcai"	0.0594993
Blumenthal	0.0593454
))
(baboon (desc 3569.34) (sims
orangutan	0.136654
giraffe	0.122262
chimpanzee	0.118377
chimp	0.108003
leopard	0.0965654
gorilla	0.0926124
Primate	0.0906183
monkey	0.0876378
elephant	0.0808944
lion	0.0805884
"giant panda"	0.0789816
rhino	0.0789487
panda	0.0776031
"snow leopard"	0.0755252
Condor	0.0753895
donkey	0.0739465
"brown bear"	0.0736452
ape	0.0730676
cheetah	0.0724178
gazelle	0.0720025
deer	0.0714836
antelope	0.0695399
Gibbon	0.0692613
lemur	0.0683352
"wild boar"	0.0679611
zebra	0.0669542
"black bear"	0.0664262
hamster	0.065185
rhinoceros	0.0651195
hyena	0.0645733
goat	0.0644048
"African elephant"	0.0641224
"blue crab"	0.0641178
kangaroo	0.0625689
yak	0.0621974
ibis	0.0619621
boar	0.0619035
rat	0.0597366
turtle	0.0593846
whale	0.0592285
ostrich	0.0592104
alligator	0.0586022
crocodile	0.0578448
ox	0.0577724
sheep	0.0556696
lizard	0.0554492
vaulter	0.0554137
moose	0.0553785
mastodon	0.0551867
rodent	0.05463
householder	0.0539154
"polar bear"	0.0536591
seminarian	0.0533673
mammal	0.0530178
"sea lion"	0.0524333
cormorant	0.0513402
midshipmen	0.0509124
hippo	0.0503857
squirrel	0.0501833
triathletes	0.049936
elk	0.0498404
"au pair"	0.0498065
shipmate	0.0496059
Macaque	0.0495526
"wild horse"	0.0495019
rabbit	0.0493457
dragonfly	0.049197
armadillo	0.0489772
marrow	0.0489401
reindeer	0.0488869
plumage	0.0484893
Rottweiler	0.0481221
groupie	0.0478524
enlistee	0.0478012
"right whale"	0.0473168
owl	0.0472005
frog	0.0471754
pronoun	0.0470783
"sea otter"	0.0470143
pigeon	0.0468148
udder	0.0465575
camel	0.0464511
parrot	0.0461571
"Homo sapiens"	0.0458852
"belly dancer"	0.045858
rooster	0.0456855
"farm animal"	0.0456261
heron	0.0453997
porcupine	0.0453207
pup	0.0452742
"bone marrow"	0.0451918
hummingbird	0.0451772
"gray whale"	0.0450651
bruiser	0.0450535
llama	0.0449399
"brain stem"	0.044921
sturgeon	0.0443674
canine	0.0443305
termite	0.0442283
Chicagoans	0.0440654
student-athletes	0.043997
sparrow	0.0439495
peacock	0.0439295
lynx	0.0437947
"Tyrannosaurus rex"	0.0434371
"chess player"	0.0432731
python	0.0432214
beast	0.0431057
pancreas	0.0429171
geese	0.0428955
"sex hormone"	0.0428621
"grizzly bear"	0.0428567
bodybuilder	0.0428362
worm	0.0427727
aphid	0.0424546
"umbilical cord"	0.0423298
"Volkswagen Beetle"	0.0423072
"lynch mob"	0.0422957
parachutist	0.04216
"song and dance"	0.0417798
iguana	0.0416031
bullfighter	0.041424
otter	0.0412243
"Trojan Horse"	0.0411946
Scrooge	0.0409171
critters	0.0408858
"fruit fly"	0.0408484
partygoer	0.0405878
bunny	0.0404774
genital	0.0401872
"Love Bug"	0.0400095
))
(Babs (desc 1824.23) (sims
Zeb	0.238162
Vicki	0.165058
Mitch	0.138616
Debby	0.134477
"Hurricane Bonnie"	0.132606
Bret	0.129445
Typhoon	0.128722
"Hurricane Bret"	0.121969
cyclone	0.119639
"Hurricane Mitch"	0.117894
Georges	0.11679
"Hurricane Georges"	0.115379
Bonnie	0.10975
gloria	0.105742
"Hurricane Hugo"	0.102369
"Hurricane Dennis"	0.0987355
windstorm	0.0981291
"Hurricane Floyd"	0.096642
"cold wave"	0.0950514
Dennis	0.0936975
sandstorm	0.0922831
rainstorm	0.0902128
Floyd	0.0877471
"Hurricane Andrew"	0.0872798
heatwave	0.0853232
Charley	0.0845595
"warning signal"	0.0830056
twister	0.0815428
temblor	0.0796531
Celia	0.0795557
snowstorm	0.0793502
"flash flood"	0.077075
tornado	0.0765874
"cold spell"	0.0765063
Otto	0.0763905
Frankie	0.0757209
"plant disease"	0.0739417
Irene	0.0733537
Jose	0.0713914
Winnie	0.0678065
Frost	0.0660558
"mortar fire"	0.0651958
"cold weather"	0.0647412
"forest fire"	0.0633555
Alberto	0.061815
firebomb	0.0617624
mudslide	0.0612223
"acid rain"	0.0605926
Ivan	0.0603856
downpour	0.0595947
"Flight @@@@"	0.0592832
"high water"	0.0588919
"El Nino"	0.0584574
gale	0.058193
"food poisoning"	0.0576695
monsoon	0.0566978
blizzard	0.0565173
Beth	0.0562001
Meteor	0.0561993
"warm front"	0.056084
Frances	0.0557642
Leo	0.0556308
Maria	0.0554699
"mountain lion"	0.0553207
"heat wave"	0.05524
"crop failure"	0.0551187
householder	0.0550041
Boller	0.0548186
"cluster bomb"	0.0546107
"HBO &AMP; Co."	0.0544612
Uliassi	0.0538951
pandemic	0.0538311
"cold front"	0.0531773
tremor	0.0530862
"artillery unit"	0.0526529
"Chris Gomez"	0.0524143
Opry	0.0523728
"dengue fever"	0.0521197
hailstorm	0.0518289
Romar	0.0512491
microorganism	0.0512447
Furcal	0.0509858
deforestation	0.0506726
"low pressure"	0.0503471
downdraft	0.0499328
tsunami	0.0497252
Heredia	0.0495114
Harvey	0.0494628
Nanula	0.0491372
"dust storm"	0.048899
Flaherty	0.04886
shrapnel	0.0487674
floodwater	0.0487143
"power failure"	0.0483669
teardrop	0.0483077
Kopp	0.0477007
"bubonic plague"	0.0475302
battering	0.0472596
Ribbeck	0.0471059
floodwaters	0.0470055
"Doc Rivers"	0.0467286
outage	0.0466913
rainforests	0.046687
"white person"	0.0463871
influenza	0.0461583
cryptosporidium	0.0461507
"foot-and-mouth disease"	0.0461317
"artillery fire"	0.0461027
Lawton	0.0459738
"ice storm"	0.0459416
Carmichael	0.0456806
Schmid	0.0454581
Lenny	0.0453996
"cash crunch"	0.0453953
"cold snap"	0.0452673
Ava	0.0449677
squall	0.0449276
Timmy	0.0447361
asteroid	0.0446695
UV	0.044668
"Love Bug"	0.0445884
"Todd Walker"	0.0445489
Bess	0.0444343
Jonsson	0.0443704
Szabo	0.0443582
"Little Dog"	0.044357
"commuter train"	0.0443293
Marco	0.044194
"jet stream"	0.0441892
blockage	0.0441664
projectile	0.0440078
Kurd	0.0439971
"liquidity problem"	0.043938
"free radical"	0.0435787
"Larry Whigham"	0.0435637
Gimme	0.0430801
Bertha	0.0428533
"Human Immunodeficiency Virus"	0.042795
advisories	0.0427763
Nicole	0.0426304
Dunleavy	0.042612
"freight train"	0.0426005
mifepristone	0.0422797
Silas	0.0422702
smog	0.042264
bock	0.0422505
Alicea	0.0421207
draught	0.0420851
Finkel	0.0420514
"human activity"	0.0416707
Venables	0.0415145
Hermanson	0.0414515
fiend	0.0412623
Calvary	0.0410621
Mahomes	0.0409618
"Yugoslav Army"	0.0408664
canker	0.0408141
sickout	0.0407374
"foul ball"	0.0407296
"Computer Associates"	0.0406666
Hickman	0.0402301
overproduction	0.0402193
Elisabeth	0.0402042
fungus	0.0401075
Longo	0.0401067
meteorite	0.0400325
))
(baby (desc 123290) (sims
infant	0.261159
child	0.198562
fetus	0.155075
girl	0.153783
newborns	0.148743
boy	0.145675
kid	0.139584
toddler	0.138317
daughter	0.131956
patient	0.131175
mother	0.126297
son	0.118345
woman	0.115914
"little girl"	0.114587
dog	0.112746
animal	0.111425
people	0.103478
pet	0.102514
man	0.101953
adult	0.099052
CAT	0.0987209
person	0.0974642
youngster	0.0942786
twin	0.093127
orphan	0.0920391
triplet	0.0911244
victim	0.0898812
teen-ager	0.0888
sister	0.0877008
brother	0.086139
female	0.0849578
parent	0.0848612
family	0.0835248
"little boy"	0.0834783
teenager	0.0825107
calf	0.082429
wife	0.0816224
guy	0.0814827
puppy	0.0811534
grandchildren	0.0805515
mom	0.0804641
student	0.0804267
bird	0.0796376
cow	0.0794595
"loved one"	0.0793415
offspring	0.078773
husband	0.0787622
"young man"	0.0785989
pig	0.078291
"young woman"	0.0782325
someone	0.0781791
panda	0.0776322
"young girl"	0.076756
male	0.0762723
grandchild	0.0761848
monkey	0.0756634
Embryo	0.0754647
elephant	0.0748641
horse	0.0746749
sibling	0.0746624
human	0.0745555
mice	0.074454
father	0.0731796
her	0.073069
passenger	0.0724833
doll	0.0724827
worker	0.0724779
sheep	0.0716923
American	0.0716489
grandmother	0.0715247
"family member"	0.0715038
grandson	0.0711061
inmate	0.0710022
kitten	0.0705656
cub	0.069954
friend	0.0698824
birth	0.0695378
Elian	0.0695164
athlete	0.0695099
pup	0.0693392
dad	0.0688723
prisoner	0.0687707
rat	0.0686051
soldier	0.068219
smoker	0.068107
"giant panda"	0.0679611
granddaughter	0.0676431
"AIDS patient"	0.0670113
you	0.0669152
"college student"	0.0665086
grandparent	0.0664582
everyone	0.0663845
relative	0.0663713
individual	0.0663526
spouse	0.0662372
youth	0.0660985
boyfriend	0.0660797
resident	0.0658248
teens	0.0653763
couple	0.0650381
body	0.0649789
pregnancy	0.064414
everybody	0.0637525
fan	0.063724
adolescent	0.063423
fish	0.0632652
tiger	0.0631061
girlfriend	0.0629725
young	0.0625494
two	0.0623897
"human being"	0.0622213
others	0.0622086
those	0.062009
diabetic	0.0619759
refugee	0.0618128
pupil	0.0610614
life	0.0610189
she	0.0608917
hostage	0.0607538
creature	0.0602791
"black man"	0.0601092
tourist	0.0601088
character	0.0599885
somebody	0.0599012
"old man"	0.0598711
population	0.0595915
toy	0.0595102
Daddy	0.0593929
living	0.0591251
recipient	0.0590672
chicken	0.0588076
Death	0.0587284
aged	0.0587274
folk	0.0586339
cattle	0.0586219
"black woman"	0.0585857
nurse	0.0585582
cousin	0.0582562
them	0.0580541
black	0.0579943
bride	0.0579943
niece	0.0579686
me	0.0579485
breast	0.0578417
"drug addict"	0.0578305
survivor	0.0577823
addict	0.0576831
doctor	0.0576529
elderly	0.0573831
sailor	0.0572533
stranger	0.0572135
specie	0.0569945
thing	0.0569219
driver	0.0569016
car	0.0568837
customer	0.0568678
some	0.0567702
player	0.056689
civilian	0.0566065
brain	0.0565209
bag	0.0565127
occupant	0.0564646
ones	0.0564539
immigrant	0.0564443
lady	0.0564193
senior	0.0558574
citizen	0.0558189
Reader	0.0557631
household	0.0556774
"senior citizen"	0.0555813
Matthew	0.055268
chimpanzee	0.0552445
anyone	0.0551035
Jesus	0.0550134
uncle	0.0549807
old	0.0549504
viewer	0.0548487
teacher	0.0548035
many	0.0547818
tree	0.0547627
deer	0.0547537
employee	0.0545353
Killer	0.0545282
client	0.0544414
chick	0.0543913
David	0.0542767
celebrity	0.0542205
"a few"	0.0541923
Three	0.054175
goat	0.0541214
ball	0.0540939
companion	0.0540934
lover	0.0540681
schoolchildren	0.0538967
babe	0.0538261
whale	0.0538061
Jew	0.0537529
consumer	0.0536272
soul	0.0535359
four	0.0534662
))
("Baby Bell" (desc 2573.28) (sims
"telephone company"	0.155745
"phone company"	0.145243
"U S West"	0.0829323
"Southeastern Legal Foundation"	0.0809293
"U S West Inc."	0.0751655
GPU	0.0734279
"US West"	0.0727035
smallest	0.0709172
Qwest	0.0706381
"major-league team"	0.0693834
"investment trust"	0.06803
"America West Airlines"	0.0643536
"cable operator"	0.062703
"white person"	0.0621685
WebMD	0.0608567
"Bell Atlantic"	0.0605901
Mediaone	0.0602099
"wireless telephone"	0.0601565
CCE	0.059954
Ameritech	0.0593385
GTE	0.0589274
"black person"	0.0584807
Comsat	0.0580512
"banking company"	0.0580122
non-American	0.0569213
SBC	0.0566383
RCN	0.0562155
Omnipoint	0.0560253
"consumer product"	0.0553145
"investment adviser"	0.0547228
Espinosa	0.0541887
NTT	0.0539405
"Pac Bell"	0.0528721
crematorium	0.0526835
"American plane"	0.0525083
Scripps	0.0521347
"Ask Jeeves"	0.0519359
"Delta Air Lines"	0.0512907
"Southwestern Bell"	0.0512796
"Baby Bells"	0.0508812
NiSource	0.0508604
BSF	0.0502264
"Cox Communications"	0.0499007
"insurance broker"	0.0495137
Telstra	0.0489351
"World Championship Wrestling"	0.0485883
Janus	0.048564
Telecoms	0.0485105
"MCI Worldcom Inc."	0.0484525
Georgia-Pacific	0.0483468
"consulting company"	0.0482781
WPP	0.0480457
"HBO &AMP; Co."	0.048032
"National Grid"	0.0479836
"Global Crossing"	0.0474862
"U.S. Trust"	0.0472004
MCI	0.0470525
agribusiness	0.0469896
"Pacific Bell"	0.0466935
"first pitcher"	0.0464391
Kraus	0.0462017
Asa	0.0460862
ENTERGY	0.0460431
JetBlue	0.0457531
"auto company"	0.0456103
"three pitchers"	0.0455151
Asarco	0.0455121
"South American"	0.0450471
Federated	0.044965
Verizon	0.0449351
ValuJet	0.0448942
"ad agency"	0.0443216
McCaw	0.0442863
"US Airways"	0.0441106
"Banque Nationale"	0.0440938
"two pitchers"	0.0440765
Comair	0.0439634
SunTrust	0.0438361
NetZero	0.0438309
EarthLink	0.0437661
"Bay Networks"	0.0436927
"roughly @,@@@"	0.0436634
"Enron Corp."	0.0436576
non-Indian	0.043515
"hockey coach"	0.0433809
"Coca-Cola Enterprises"	0.0433536
Finnish	0.0432126
"charge card"	0.0431964
"Liberty Media"	0.0430608
"England Club"	0.0430347
"Georgia Republican"	0.0429572
"Norfolk Southern"	0.0428556
Frenchwoman	0.042841
Whitbread	0.0428309
"GTE Corp."	0.0427929
"Tribune Co."	0.04272
"Niagara Mohawk"	0.0425795
"South San Francisco"	0.0421404
Quokka	0.042134
HBOC	0.0421128
Catalan	0.0417327
"Alaska Airlines"	0.0416575
ISP	0.0416176
midsize	0.0415156
"first school"	0.0414784
Genzyme	0.0414239
"toy retailer"	0.0412513
"Total Fina"	0.0410538
"food company"	0.0410152
sandpiper	0.0409547
drugmaker	0.0409544
Haughey	0.0408281
"Southwest Airlines"	0.0406921
"United Airlines"	0.04064
baserunner	0.0404307
"Times Mirror"	0.0403634
AGL	0.0401919
Albertson's	0.0401901
"test-tube baby"	0.0401787
Telebras	0.0401643
Norwest	0.0401521
fief	0.0401352
))
("Baby Bells" (desc 2955.1) (sims
"Bell Atlantic"	0.15505
Ameritech	0.140345
"Ameritech Corp."	0.138972
"Pac Bell"	0.132734
"telephone company"	0.128654
octuplets	0.126882
"phone company"	0.124845
SBC	0.118909
GTE	0.118673
"Bell Atlantic Corp."	0.11839
"Sprint PCS"	0.118232
BellSouth	0.116381
"British Telecommunications"	0.115333
"MCI WorldCom"	0.111809
"Pacific Bell"	0.109683
MCI	0.105387
"cable operator"	0.103956
"MCI Worldcom Inc."	0.101556
"Bell South"	0.0991153
"British Telecom"	0.0969275
"U S West"	0.0964985
"SBC Communications"	0.0956902
"major-league team"	0.0935205
Airtouch	0.0927139
Verizon	0.0926847
"No. @s"	0.0926374
ISPs	0.0919921
Concordes	0.0914265
"Tele-Communications Inc."	0.0890354
"US West"	0.0886392
hotspots	0.0876819
"BellSouth Corp."	0.0873319
"U S West Inc."	0.0873296
"Vodafone AirTouch"	0.0871232
major-leaguers	0.084856
Picassos	0.0845522
"Southwestern Bell"	0.0841931
WorldCom	0.0841533
transnationals	0.0834367
starts.	0.0826876
"British Opens"	0.0818961
QBs	0.0818111
"drug maker"	0.0815999
"Consolidated Edison"	0.0811157
"auto manufacturer"	0.0809579
great-grandchildren	0.0808072
Klansmen	0.0796384
B-@s	0.0789562
consortia	0.0781959
quarterfinalists	0.0778534
septuplets	0.0772593
"All-Star Games"	0.076499
"Final Fours"	0.0761118
crewmembers	0.0759756
"Ryder Cups"	0.0758207
guardsmen	0.075702
carmakers	0.0753377
"bank failure"	0.0734266
Opens	0.073241
"Network Solutions"	0.0729976
Dutchmen	0.0725135
highflier	0.0724028
All-Americans	0.0722685
"Law Lords"	0.0721082
"three units"	0.0720546
REITs	0.0719899
"GTE Corp."	0.0718487
par-@s	0.0717745
Pillars	0.0713948
co-defendants	0.0708469
spinoffs	0.0708455
"insurance firm"	0.0707273
baserunners	0.0706706
varietals	0.0705164
megaplexes	0.0703552
Qwest	0.070105
"accounting firm"	0.0699909
NTT	0.0698873
internationals	0.0698335
inductees	0.069721
friendlies	0.0697008
A@@@s	0.0684905
SkyTel	0.0684621
"New York Republicans"	0.068239
Lucent	0.0680807
brokerage	0.0679058
Pitney	0.0678226
"core group"	0.067781
TCI	0.0670839
Schwab	0.0668598
Conrail	0.0665899
metropolises	0.0659164
housemates	0.0658225
"council member"	0.0657809
"New York Democrats"	0.0657366
"margin call"	0.0657079
bottlers	0.06569
sherpas	0.0655949
"Deutsche Telekom"	0.0655023
hostage-takers	0.0654079
"electric company"	0.0653204
"China Telecom"	0.0651363
midshipmen	0.0649438
"New Democrats"	0.0649158
"insurance company"	0.0647413
"Lucent Technologies"	0.0646646
"Cendant Corp."	0.0646053
"Medicare HMOs"	0.0643811
bogy	0.0643736
"Time Warner"	0.0642328
"department store chain"	0.0641992
co-leaders	0.0641318
Asian-Americans	0.0640862
batsmen	0.0640601
"auto company"	0.0640378
ExciteAtHome	0.0638115
"Hollywood studio"	0.0637122
"Microsoft Network"	0.0636722
"Special Economic Zones"	0.0633827
adopters	0.0633467
"European nation"	0.0628381
"Chrysler Corp."	0.0627831
"credit bureau"	0.0627129
"Reagan Democrats"	0.0626415
seasons.	0.0625072
"commercial bank"	0.0624401
wideouts	0.0623952
"finance company"	0.0623678
"medical institution"	0.0622526
"defense contractor"	0.062144
vote-getters	0.0621384
takeaways	0.0619633
"MCI Communications Corp."	0.0618348
tranches	0.0617886
"Texas Democrats"	0.0616773
resellers	0.0615798
"Pro Bowls"	0.0614714
spacewalks	0.0613492
"shipping company"	0.0612861
insurer	0.0610755
tacklers	0.0610668
"Bay Networks"	0.0609918
"Internet Service Providers"	0.0608837
"Nippon Telegraph"	0.0607498
no-decisions	0.060733
Uunet	0.0606915
"break of serve"	0.0606883
SmithKline	0.0605284
"entitlement program"	0.0604387
"brokerage house"	0.0604016
"major league season"	0.0603406
"financial organization"	0.0602898
eateries	0.0602688
"hard drug"	0.060207
REIT	0.0596115
"brokerage firm"	0.0596074
GPU	0.0595407
"agenda item"	0.0594934
firewalls	0.0593849
funders	0.059336
"Comcast Corp."	0.0592294
automakers	0.0592053
multinationals	0.0591139
AltaVista	0.0588927
flashpoints	0.0588527
ECNs	0.0588456
issuers	0.0587934
"Dow Jones &AMP; Co."	0.0587605
"GE Capital"	0.0586241
"Western Union"	0.05852
firsts	0.0584418
"business unit"	0.0584269
ex-convicts	0.0584179
hopefuls	0.0583423
"banking company"	0.058285
crewmen	0.0582607
"T Wireless"	0.0582233
co-owners	0.0581742
hypermarket	0.0581269
"power company"	0.0580495
supermodels	0.0580183
Gunmakers	0.0578839
"NationsBank Corp."	0.0577529
"ad agency"	0.0576961
Mediaone	0.0576342
Vodafone	0.057594
wholesaler	0.0575218
PTT	0.0574847
"Niagara Mohawk"	0.0573802
Honeywell	0.057371
phenoms	0.0573612
PACs	0.0572862
Comsat	0.0572775
"auto maker"	0.0571558
"Microsoft Corp."	0.0571419
"American plan"	0.0571407
"New Jerseyans"	0.0570188
"U.N. agencies"	0.0569738
goaltenders	0.0566931
student-athletes	0.0566675
))
("baby boom" (desc 3752.52) (sims
"baby boomer"	0.109284
boomer	0.0960829
baby-boomers	0.0797919
over-@@	0.0739884
Younger	0.0729301
"voting age"	0.0686878
"market correction"	0.0686162
menopause	0.0617366
perestroika	0.0612932
"gold rush"	0.0598612
"technological revolution"	0.0590817
"birth rate"	0.0577171
"hair follicle"	0.0563231
birthrate	0.0551203
"industrial revolution"	0.0537827
"Title IX"	0.0518928
"Kosovar Albanian"	0.0511572
"New Wave"	0.0504305
"tidal wave"	0.0503096
"piece of cloth"	0.0497309
"middle class"	0.0496737
"Bull Run"	0.0494381
student-athlete	0.0492878
homelessness	0.0484935
hippie	0.0478469
"information superhighway"	0.0476105
"dust bowl"	0.047494
non-Hispanic	0.0473852
puberty	0.0471737
retrenchment	0.0465919
uninsured	0.046482
"Great Depression"	0.0463142
Gen-X	0.046243
"feminist movement"	0.0460375
renaissance	0.0456234
Eisenhower	0.0453686
"art movement"	0.0450995
"guessing game"	0.0450044
"cold spell"	0.0447102
"employment growth"	0.0440986
letdown	0.0438006
"New Deal"	0.043775
Hirohito	0.0436949
"five million"	0.0436906
post-Soviet	0.0431869
"management shakeup"	0.0427766
shakeout	0.042445
post-@@@@	0.0423944
upturn	0.0423694
"bear market"	0.0423255
"home sale"	0.0423117
"temperature change"	0.0422273
downturn	0.0421631
"margin call"	0.0419485
follicle	0.0419405
"Subway Series"	0.0417928
grunge	0.0416297
six-year	0.0415891
"retirement age"	0.0415649
"cold front"	0.0415162
"middle age"	0.0414771
"rate rise"	0.041413
metamorphosis	0.0413901
"drawing power"	0.0413423
"Baby Bells"	0.0411529
"professional golf"	0.0409342
downslide	0.0409115
migration	0.0406759
selloffs	0.0404698
"rapid growth"	0.0404614
Anglo	0.040262
divestitures	0.0401383
))
("baby boomer" (desc 24188.8) (sims
boomer	0.168658
baby-boomers	0.112972
"baby boom"	0.109284
"senior citizen"	0.0997547
retiree	0.0985794
shopper	0.0944102
teens	0.0935971
Hispanic	0.0882029
consumer	0.0874839
"college student"	0.0855947
adult	0.0839875
viewer	0.0826871
teen-ager	0.0823173
suburbanite	0.081485
traveler	0.0811293
"middle class"	0.080974
Reader	0.078889
youngster	0.0775704
teenager	0.0767023
Latino	0.0764115
"business traveler"	0.0761832
buyer	0.0758809
generation	0.0756489
Californian	0.0745096
investor	0.0738641
male	0.0732975
African-American	0.0730394
moviegoer	0.0729295
immigrant	0.0728474
folk	0.072808
"home buyer"	0.0728061
homeowner	0.0724513
parent	0.0720733
"New Yorker"	0.0716494
Beijingers	0.0715595
senior	0.0715131
voter	0.0713653
smoker	0.0704955
listener	0.0703786
audience	0.070194
adolescent	0.0697841
kid	0.0695226
Mexican	0.0691459
professional	0.069071
farmer	0.0689999
migrant	0.0666624
drinker	0.0664816
customer	0.066369
yuppie	0.0658441
user	0.0653878
advertiser	0.0647407
elderly	0.0646574
tourist	0.0643252
orphan	0.0640331
urbanites	0.0626994
resident	0.0622339
illiterate	0.0621701
enthusiast	0.0621132
hippie	0.0618123
girl	0.0615821
youth	0.061404
population	0.0611157
mom	0.0607994
theatergoer	0.0606183
female	0.0605292
veteran	0.0603709
Catholic	0.0601894
minority	0.0598773
citizen	0.0598256
collector	0.0596321
foreigner	0.0593622
athlete	0.0593322
Jew	0.0590312
"sports fan"	0.0588586
angler	0.0577538
politician	0.0576972
pensioner	0.0572437
Iowan	0.0572245
filmgoers	0.0571491
Colombian	0.0569876
European	0.0569215
filmmakers	0.0568547
Taiwanese	0.0567745
westerner	0.0567054
affluent	0.0566929
Southerner	0.0566277
entrepreneur	0.0564796
visitor	0.0563922
christian	0.0563789
"married couple"	0.0563759
household	0.0562534
"white man"	0.0561433
taxpayer	0.0560781
Chinese	0.0560296
artist	0.0559927
addict	0.0559444
"over @@"	0.0558904
vacationer	0.0558602
"New Englander"	0.0555662
individual	0.0555428
schoolchildren	0.0547459
"young woman"	0.054643
"music lover"	0.0545955
"union member"	0.0545348
teacher	0.0541484
evangelicals	0.0539333
"young man"	0.053712
low-income	0.05359
gambler	0.0535361
celebrity	0.0534931
electorate	0.0528583
millionaire	0.0527625
Israeli	0.0527533
"young girl"	0.0527228
grandparent	0.0524822
"foster child"	0.0523181
conservative	0.052265
newcomer	0.0521836
"age group"	0.0521614
Gay	0.0520747
Iranian	0.0520553
golfer	0.0519168
Cambodian	0.0518232
surfer	0.0516242
buff	0.0515539
preschoolers	0.0515048
demographics	0.0514365
"married man"	0.0513989
"black woman"	0.0513943
African	0.0513729
Briton	0.0512907
Filipino	0.0511744
Brazilian	0.0511374
infant	0.051085
housewife	0.0510688
"AIDS patient"	0.0507544
"drug user"	0.0507434
refugee	0.0507109
elite	0.0506594
sufferer	0.0505417
Tibetans	0.0503992
Canadian	0.0502572
subscriber	0.0500207
society	0.0499024
"married woman"	0.049855
expatriate	0.0497683
twentysomethings	0.049698
grown-up	0.0495802
"working class"	0.0495576
"Roman Catholic"	0.049502
intellectual	0.0492712
depositor	0.0491818
Asian-American	0.0491313
gardener	0.0491301
motorist	0.0491098
diabetic	0.0489785
"African American"	0.048975
Texan	0.0489477
revolutionary	0.0488792
hippy	0.0488326
trader	0.0486303
Asian-Americans	0.0484654
Kenyan	0.0484138
newlywed	0.0483631
"African Americans"	0.048303
beneficiary	0.0481783
Japanese	0.0481454
jock	0.04812
pupil	0.0480339
skier	0.0479674
recipient	0.047919
landowner	0.0477422
aged	0.0477285
Haitian	0.0476445
adoptees	0.0475946
businessmen	0.0475882
dot-coms	0.0475633
Nigerian	0.0475563
Muscovite	0.0475271
commuter	0.0474972
"work force"	0.0474037
Cuban-Americans	0.0473682
diner	0.0473243
Koreans	0.0473052
dweller	0.0472764
Floridian	0.0472638
everyone	0.0472364
Arizonan	0.0472077
Atlantans	0.047167
Cuban	0.0471297
missionary	0.0470094
gamers	0.0469426
patron	0.0469151
offspring	0.0469132
"Puerto Rican"	0.0468024
homemaker	0.0465128
lawmaker	0.0463873
Turk	0.0462997
seeker	0.0462403
hipsters	0.0462379
))
(baby-boomers (desc 1606.45) (sims
"baby boomer"	0.112972
boomer	0.096611
adopters	0.0821772
filmgoers	0.0809982
suburbanite	0.0800848
"baby boom"	0.0797919
"hair follicle"	0.0768336
"music lover"	0.07613
mainlanders	0.0734136
Muscovite	0.0726922
Englishwoman	0.072661
Irishmen	0.0714892
hipsters	0.0699602
Chicagoans	0.067865
"Reagan Democrats"	0.0665106
"Russian Jews"	0.065943
Beijingers	0.0634916
apparatchiks	0.0599543
"New Jerseyans"	0.0592843
nudist	0.0587882
moviegoer	0.058571
"beer drinker"	0.0579472
"Southern Democrats"	0.0578186
commoner	0.0568253
Vermonter	0.0565954
"Cuban Americans"	0.0559619
e-tailers	0.0559418
Atlantans	0.0549703
Camaro	0.0546519
dieters	0.0545701
transnationals	0.0543686
evangelicals	0.0535398
gawkers	0.0533691
"big leaguer"	0.0532669
hippy	0.0530893
Midwesterners	0.0520961
theatergoer	0.052073
Washingtonian	0.0519933
Tendulkar	0.0519499
Protas	0.0516522
"European Jews"	0.0514247
afterburner	0.0510468
hippie	0.0506573
Atler	0.0505141
Cepeda	0.0502313
autocrat	0.0496852
Creationists	0.0496294
bourgeoisie	0.0494678
celebs	0.048935
adventurer	0.0486832
brat	0.0486804
clientele	0.0486342
follicle	0.0486258
floodwater	0.0484109
warhorse	0.0481728
multimillionaires	0.0479774
weekender	0.0476639
Summitt	0.0475915
gunslinger	0.0475433
Croshere	0.0474282
drinker	0.0470303
"feminist movement"	0.046873
vaudevillian	0.0467515
"New Englander"	0.0466903
Mexican-Americans	0.0465379
illegals	0.0464744
"Dr. Sun Yat-Sen"	0.0463382
"guardian angel"	0.0462849
Moratinos	0.0457479
"medical practitioner"	0.0456163
counterfeiter	0.0455974
underling	0.0453894
Navajos	0.045089
dot-coms	0.0450105
"American Football League"	0.0449368
"business traveler"	0.0447938
singer-songwriters	0.0447194
part-timer	0.0445906
"San Franciscans"	0.0444923
"young actress"	0.0444905
mushers	0.0444481
petitioner	0.0444314
"supporting players"	0.0443176
pixel	0.0442995
"target area"	0.0442233
ex-convicts	0.044221
"core group"	0.0441945
retainer	0.0441877
clothes	0.0441662
Campas	0.0440604
Celia	0.0440413
"Don Baylor"	0.0439991
sloppiness	0.0439975
tyke	0.0439727
"draft dodger"	0.0438668
reveler	0.0437194
Swazi	0.0436956
Zeb	0.0436228
musicologist	0.0434924
Furcal	0.0434538
"inferiority complex"	0.0431929
Paciello	0.0428179
privatizations	0.0426503
birder	0.0425252
"farm boy"	0.0424763
"Orthodox Jews"	0.0424057
farmworkers	0.0423758
double-teams	0.0421855
contemporaries	0.0421426
twentysomethings	0.0420947
"caste system"	0.0420469
Dunleavy	0.0420068
genealogist	0.0419708
"foster child"	0.0419529
"TV audience"	0.0418883
Bonnie	0.0418721
Ecuadorian	0.0418199
"female body"	0.0416377
altruism	0.0416015
swinger	0.0415522
CEC	0.0415253
Brazile	0.0414184
Mehta	0.0413125
Geiger	0.0411507
"home buyer"	0.0411028
"Walter Matthau"	0.0410717
gamers	0.0409848
Bartholomew	0.0409544
clunker	0.0409076
"Chris Gomez"	0.0408993
"Lou Gehrig"	0.0408702
Witherspoon	0.0408235
hubcap	0.040821
MLS	0.0407871
concertgoers	0.0406917
Casanova	0.0406842
quickest	0.0406738
"Jim Leyland"	0.0406655
gentlemen	0.040658
behinds	0.0404194
Seizinger	0.0403911
Afrikaner	0.0403571
technocrat	0.0403465
pedophiles	0.0403146
Maruyama	0.0402074
Rolen	0.0401976
"situation comedy"	0.040192
"takeover speculation"	0.0401667
assimilation	0.0400942
doubter	0.0400801
wanderer	0.0400358
westerner	0.0400207
))
(Babyface (desc 1802.91) (sims
"Mariah Carey"	0.124957
"Rod Stewart"	0.11896
"Celine Dion"	0.112807
"Lenny Kravitz"	0.105364
"GLORIA ESTEFAN"	0.0976135
"Bobby Brown"	0.090087
"Janet Jackson"	0.0838662
"Diana Ross"	0.0817136
"Britney Spears"	0.0774853
Bjork	0.0774659
"Quincy Jones"	0.0764383
"Shania Twain"	0.073181
Cher	0.0729442
"Andrea Bocelli"	0.072864
"Sarah McLachlan"	0.072369
"James Taylor"	0.0719943
"Eric Clapton"	0.0716001
"Michael Jackson"	0.0712045
"Enrique Iglesias"	0.0711847
"Phil Collins"	0.0708784
"Whitney Houston"	0.0708431
"Barbra Streisand"	0.070841
"Toni Braxton"	0.070643
"Sheryl Crow"	0.0705692
"Bette Midler"	0.0666894
"Demi Moore"	0.0651231
"Marvin Gaye"	0.0649892
"Linda Ronstadt"	0.0638244
"Jennifer Lopez"	0.0638084
Edmonds	0.0633555
"Mick Jagger"	0.0632498
"Clint Black"	0.062601
"Aretha Franklin"	0.061194
"Ricky Martin"	0.0609113
"Peter Gabriel"	0.0593935
"LeAnn Rimes"	0.0581669
"Billy Joel"	0.0580584
"John Wells"	0.0563467
"Elton John"	0.0557961
"David Geffen"	0.0551428
"Whoopi Goldberg"	0.0544316
"Lauryn Hill"	0.0540108
"James Brown"	0.0536165
"John Mellencamp"	0.0535383
"Don Henley"	0.0533757
D'Angelo	0.0517297
"meat loaf"	0.0513339
"Tony Bennett"	0.0512359
"Don Hewitt"	0.0511996
"Stevie Wonder"	0.0502516
"Fleetwood Mac"	0.0496384
"Bob Dylan"	0.0485403
"Tina Turner"	0.0484465
"Loretta Lynn"	0.0481057
"Patti Smith"	0.0479629
"Boyz II Men"	0.0478122
Sher	0.0472279
"Bonnie Raitt"	0.0471066
"Luther Vandross"	0.0470271
Kromah	0.0468046
"Natalie Cole"	0.0467205
"Dixie Chicks"	0.0464679
"Paul Simon"	0.0459346
"Pink Floyd"	0.0457793
"Aaron Spelling"	0.0457307
"Jerry Bruckheimer"	0.0455349
"Steven Bochco"	0.0453845
"Carlos Santana"	0.0453683
"Rolling Stones"	0.0447268
"Jeffrey Katzenberg"	0.04467
"Marlon Brando"	0.0445477
"Bob Marley"	0.0444635
"Julie Andrews"	0.0435564
"Jimi Hendrix"	0.0432781
"John Malone"	0.0432681
"Dolly Parton"	0.0432561
"Richard Pryor"	0.0427084
"Bruce Springsteen"	0.0426064
"Laurie Anderson"	0.0419577
"Mary J. Blige"	0.0417396
"George Lucas"	0.0413438
"Trisha Yearwood"	0.0408994
"Tom Jones"	0.0400337
))
(Babylon (desc 3081.65) (sims
Najaf	0.097061
"The Sopranos"	0.0824283
Pompeii	0.0821146
Ashkelon	0.0784595
E.R	0.0697222
Baalbek	0.0690772
"Great Neck"	0.0668372
Jericho	0.0652845
Persia	0.0642493
bethel	0.063936
Bridgehampton	0.0624864
"Nash Bridges"	0.0620348
BRIGHTON	0.0614793
Samara	0.0611717
oceanside	0.0607648
Poughkeepsie	0.0603657
Irvington	0.060151
Brookhaven	0.0591017
Norwich	0.0583039
Juba	0.0582651
Mach	0.058207
Matadi	0.0580319
"Toy Story"	0.0578314
Hempstead	0.0578275
Naperville	0.0575799
Peekskill	0.057015
ten-day	0.0566962
"Chicago Hope"	0.056302
Rafah	0.0560876
Chappaqua	0.0558581
Avignon	0.0556253
Flagstaff	0.0552022
Lucerne	0.0544749
Ithaca	0.0542004
"South Park"	0.0540326
"Love Boat"	0.0539603
"Saratoga Springs"	0.0538604
Beavis	0.0538009
"Third Watch"	0.0537695
Salonika	0.053534
"Murphy Brown"	0.0533735
"Twin Peaks"	0.052977
Pleasantville	0.0525481
Queens	0.0522166
Ballymoney	0.0518436
"San Lorenzo"	0.051784
Aladdin	0.0516548
Pelham	0.0512627
"New Rochelle"	0.0508362
Basra	0.0507791
"Mount Vernon"	0.0506434
Skaneateles	0.0504277
dlr	0.0503681
Brewster	0.0503497
"Suddenly Susan"	0.0502877
Monterey	0.0499738
"East Hampton"	0.0498038
Terminator	0.0497796
Salamanca	0.0497703
"Ralf Schumacher"	0.0493349
Carthage	0.0490729
"Home Improvement"	0.0489493
"Melrose Place"	0.0488627
Haifa	0.0488472
"Richard Mandella"	0.0487928
Odessa	0.0487453
MINEOLA	0.0485612
Ipswich	0.0484244
Gudermes	0.0480499
"Sesame Street"	0.0480315
"scarlet pimpernel"	0.0476879
Baywatch	0.0476714
Bayreuth	0.0474301
Montclair	0.0473747
Yorktown	0.0470963
Hastings	0.0468713
Aberdeen	0.0468553
"White Plains"	0.0467465
"Who Wants"	0.046722
Beersheba	0.046688
"Sleepy Hollow"	0.0466694
"Mill Valley"	0.0465742
Bedford	0.0465054
"Ottoman Empire"	0.0464727
"San Pedro Sula"	0.0463637
Constantinople	0.0463359
Graceland	0.0462126
Stafford	0.0461946
Independiente	0.0460755
Elmira	0.0457854
"Shang Dynasty"	0.0456157
Leeds	0.0452855
Felicity	0.0452617
Medina	0.0450987
Kizlyar	0.0449069
Valhalla	0.0449012
Falcone	0.0448883
Frasier	0.044713
Salzburg	0.0446712
Telluride	0.0446231
Haicheng	0.0444229
Jamestown	0.0442142
Tarrytown	0.0440706
"Lion King"	0.0440673
Chester	0.043869
"Family Guy"	0.0437844
Plata	0.0436553
"Bobby Rahal"	0.0436214
"San Cristobal"	0.0436213
Providence	0.0435617
Fez	0.0434702
"situation comedy"	0.0432833
"Star Trek"	0.0432211
"Beverly Hills"	0.043221
"Law &AMP; Order"	0.0431522
Oz	0.0430937
Schenectady	0.0427234
Pamplona	0.0426902
Dawson	0.0426762
"San Sebastian"	0.0426438
Bloomington	0.0426402
"West Wing"	0.0426174
Troy	0.0425861
"Everybody Loves Raymond"	0.0425713
Riverdale	0.0425656
Yonkers	0.0423616
Salonica	0.0423421
Calais	0.0422293
"NYPD Blue"	0.0422243
Taloqan	0.0421988
Colosseum	0.0421895
Larnaca	0.0421818
Jalalabad	0.04205
Rugrats	0.0420328
Huntington	0.0419911
Atherton	0.0419333
Macoris	0.041901
Antioch	0.0418187
Kandy	0.0417854
Surrey	0.0417216
Vitoria	0.0416451
Wilton	0.041607
"Jenny Jones Show"	0.0415817
Derry	0.0415708
"Forest Hills"	0.0415682
"Santa Rosa"	0.0415361
NIS	0.0414746
Aachen	0.0414246
Jenin	0.0414052
"Eagle Pass"	0.0412987
Chatham	0.0412301
Weimar	0.0412285
Berkshires	0.0411897
"New London"	0.041174
Montauk	0.0410564
Ibadan	0.0410366
til	0.0409613
Lilith	0.0409027
Delhi	0.0407156
Catania	0.0406214
Verona	0.0405568
Acapulco	0.0404699
Lubbock	0.0404445
Khost	0.0404343
Leon	0.0403868
Salem	0.0402877
Lhokseumawe	0.0402078
"Lilith Fair"	0.0401961
Rotterdam	0.0401193
Promo	0.0400906
))
(babysitter (desc 3661.93) (sims
sitter	0.159625
housekeeper	0.127359
nanny	0.124875
breadwinner	0.104577
caregiver	0.0914416
"legal guardian"	0.0889989
maid	0.0831979
tutor	0.0778025
telemarketer	0.0769951
playmate	0.0753348
governess	0.0747897
aunt	0.0747492
chauffeur	0.0695498
"great grandmother"	0.0684921
grandchild	0.0677939
"important person"	0.0673983
grandparent	0.06696
exboyfriend	0.0666902
"foster parent"	0.0656714
"English teacher"	0.064052
pediatrician	0.0640298
paralegal	0.0632777
therapist	0.0632049
whore	0.0622964
seamstress	0.0621224
psychiatrist	0.0617701
beautician	0.0605515
sibling	0.0590591
Dorothy	0.0588958
stepdaughter	0.0588199
dowry	0.0583768
"registered nurse"	0.0581398
"social worker"	0.0579964
housewife	0.0576936
psychologist	0.0575457
waitress	0.0575084
bookkeeper	0.0572535
fifth-grader	0.0571208
caretaker	0.0570946
soulmate	0.0570463
boyfriend	0.0567075
"guitar player"	0.0565452
Kurd	0.0564073
librarian	0.0563238
"private eye"	0.0563151
lifeguard	0.0562587
"big sister"	0.0561964
alcoholic	0.0559367
"guardian angel"	0.0558701
uncle	0.0556427
chaperone	0.0556129
ex-girlfriend	0.0551766
"traffic cop"	0.0549498
"divorce lawyer"	0.0549461
"math teacher"	0.0549167
schoolteacher	0.0547771
exterminator	0.0541401
matron	0.0538036
homemaker	0.0534025
slut	0.053366
roofer	0.0529121
matriarch	0.0526792
niece	0.0526703
"Christmas present"	0.0526607
"white person"	0.052548
great-aunt	0.0525235
"software engineer"	0.0524937
Atlantan	0.0522031
dentist	0.0521887
"Juan Miguel Gonzalez"	0.0518402
Juli	0.0516342
"young person"	0.0512536
techie	0.0510865
"child care"	0.05106
fiance	0.0510257
"little sister"	0.0510034
"death warrant"	0.0501715
"good person"	0.0498638
in-law	0.0497247
receptionist	0.0495309
"school teacher"	0.0495046
stepbrother	0.0494467
copout	0.0494343
masseuse	0.0494101
stepmother	0.0492543
"role model"	0.0485339
mother-in-law	0.0485127
servant	0.0484359
cashier	0.0481786
impostor	0.0477424
stepsister	0.0476993
Guardian	0.0475994
weatherman	0.0475921
exec	0.0475553
"half sister"	0.0474227
doorman	0.0473786
psychic	0.0470453
"talent scout"	0.0470027
"private investigator"	0.0468889
Patricia	0.0468589
hairdresser	0.0467477
"day laborer"	0.046537
ex-husband	0.0462985
fiancee	0.0461412
"day care"	0.0461295
stuntman	0.0460719
caseworker	0.0459954
Lorraine	0.0459318
stockbroker	0.0458132
ingenue	0.0454441
comedown	0.0452439
bricklayer	0.045035
stewardess	0.0450153
"guard dog"	0.0449838
"leading lady"	0.0448893
"waiting game"	0.044855
decorator	0.0447967
"campaign worker"	0.0446541
whodunit	0.044607
armadillo	0.0444459
"altar boy"	0.0443495
Grinch	0.0442354
Cynthia	0.0441702
deejay	0.0441653
appraiser	0.044114
Spenser	0.0440325
handicapper	0.0440174
bridesmaid	0.0438581
exwife	0.0437734
godmother	0.0437545
"welfare worker"	0.0437065
"punching bag"	0.0436928
stepfather	0.0436531
Napolitano	0.0433064
"support system"	0.0433044
newspaperman	0.0431135
patsy	0.0429626
"vacation spot"	0.0428767
"au pair"	0.0428753
plumber	0.0428314
radiologist	0.0428207
"physical therapist"	0.0426415
lifesaver	0.0425785
"foster home"	0.0425056
"big leaguer"	0.0424958
stripper	0.0423997
Daddy	0.0423466
stepson	0.0422801
newborn	0.0422017
voyeur	0.0421476
hyper	0.0421412
hippie	0.0420765
Linda	0.0419732
"day care center"	0.041972
"sounding board"	0.0418287
Cindy	0.0417219
businesswoman	0.0416714
"child support"	0.0416651
grandma	0.0415777
landscaper	0.0415488
Patti	0.0413926
chambermaid	0.0413477
electrician	0.041261
"pain in the neck"	0.0411425
repairman	0.0411286
nutritionist	0.04109
actuary	0.0408816
pantyhose	0.0408811
Talebi	0.0407311
pushover	0.0407242
firefighter	0.0405795
pharmacist	0.0405556
trimmer	0.0404985
"letter writer"	0.0404081
"loved one"	0.040337
manicurist	0.0402252
Heidi	0.0401243
tomboy	0.0400766
part-timer	0.0400122
))
(babysitting (desc 2505.25) (sims
bookkeeping	0.0946747
housekeeping	0.0886051
"computer programming"	0.0823313
childcare	0.0818752
carpentry	0.0798586
fulltime	0.072373
"data processing"	0.0720692
"child care"	0.0695809
Contraception	0.0694699
woodworking	0.0687144
cleaning	0.0635044
sewing	0.0626966
"physical therapy"	0.0624249
"garbage collection"	0.0609369
mitzvah	0.0606879
hedging	0.0605714
"weather forecasting"	0.0602998
nursing	0.0602807
on-campus	0.0601787
hand-holding	0.0601257
tutoring	0.0584694
Trucking	0.0576786
gardening	0.0576386
"securities trading"	0.0573641
PR	0.0566736
overdraft	0.0563342
vending	0.0561094
catering	0.0560973
detoxification	0.0560085
"public speaking"	0.0555601
browsing	0.0547029
recreation	0.0541371
"nursing care"	0.0540418
"hospital care"	0.0539226
laundry	0.0535974
inpatient	0.0532422
"export credit"	0.0531053
"consumer credit"	0.05277
landscaping	0.0523972
connectivity	0.0520606
DSL	0.0519931
forwarding	0.051979
"storage space"	0.0508779
consultancy	0.0504145
tailoring	0.0498967
ADSL	0.0495557
shareware	0.0492179
"time off"	0.0489625
servicing	0.0489058
stopgap	0.0486771
kicking	0.048048
checking	0.048034
airplay	0.0477525
junket	0.0475788
daycare	0.0475014
camping	0.0474428
obeisance	0.04737
healthcare	0.047235
sewerage	0.047196
booking	0.0471951
punting	0.0471594
schooling	0.0470321
mitigation	0.0470042
telemarketing	0.0469731
knitting	0.0469548
escrow	0.046934
outpatient	0.0467484
"crowd control"	0.0466638
Indexing	0.0465733
"shuttle bus"	0.0464823
"software product"	0.0463525
accountancy	0.0461348
"vocational training"	0.0457167
"first aid"	0.0456704
editing	0.0452473
hands-on	0.0452316
"call waiting"	0.0452131
modeling	0.0451294
ISDN	0.0450751
checkup	0.0449009
IDD	0.044898
"happy hour"	0.0448381
dictation	0.0448178
leasing	0.0444663
bonding	0.044348
"day care"	0.0439708
"mess hall"	0.0439067
sightseeing	0.0437185
"data entry"	0.0435396
scouting	0.0434504
postage	0.0434102
retailing	0.0432493
"another @@,@@@"	0.0431049
"Dairy Queen"	0.043088
fact-finding	0.0430437
"public transport"	0.0429531
"special education"	0.0428129
telephony	0.0426783
ecotourism	0.042582
downtime	0.0425509
bandwidth	0.0425469
deadend	0.0425161
psychotherapy	0.0425046
lodging	0.0424177
Christmases	0.0423945
"telephone directory"	0.0423652
"word processing"	0.0423566
"social insurance"	0.0422653
"garbage disposal"	0.042261
ifs	0.0421339
palliative	0.0420945
"medical exam"	0.0420645
"consumer loan"	0.04202
coursework	0.0418935
"communications service"	0.0418291
"annual payment"	0.0417695
"dry cleaning"	0.0413335
gratification	0.0413099
"Shin Bet"	0.0412488
"back office"	0.0409978
"investment banking"	0.0409793
refereeing	0.0409263
"foot traffic"	0.0407078
cudgel	0.0406244
coastguard	0.0406076
e-business	0.0406032
tenancy	0.0405414
"Three hundred"	0.0403882
"first Head"	0.0403737
"less than three years"	0.040359
branding	0.040168
warehousing	0.0401115
))
(Baca (desc 1369.56) (sims
Katsav	0.097485
MacKay	0.096809
Alarcon	0.0906917
Vallone	0.0904134
Gormley	0.0897308
Kennelly	0.0879704
Naumann	0.0854246
Tarawneh	0.0834683
Garcetti	0.083443
Montalvo	0.0831763
Marineau	0.082274
Imperatori	0.0819411
Isakson	0.0804387
Bulatovic	0.0800867
Keady	0.0793503
Vacco	0.0790863
Ammiano	0.0789676
Headley	0.078388
Cubas	0.0783192
Nkomo	0.0782896
Shahak	0.077232
Talebi	0.0770588
"Calvin Coolidge"	0.0770135
Wagoner	0.0769877
Catacosinos	0.0769666
Joklik	0.0762952
Aliev	0.075869
Dukakis	0.0754832
Mahuad	0.0752754
Mauro	0.0743027
Warshaw	0.0740704
Hoffa	0.0735549
Giordano	0.0734854
Moseley-Braun	0.0731258
Schell	0.0729546
Kasparov	0.0723713
Mikhailov	0.0723456
Hekmatyar	0.0722679
Chopra	0.0719646
"Perez Balladares"	0.0717686
Soyinka	0.0716477
Kornberg	0.0716139
Khrushchev	0.0715218
Hallinan	0.0714869
"President Lee Teng-hui"	0.0710484
Mullally	0.0710369
Duisenberg	0.0708969
Papon	0.0707669
Mudge	0.0705659
Kostunica	0.070545
Waxman	0.0705312
Jager	0.0704814
Skuratov	0.069701
Muralitharan	0.0696312
Esser	0.069478
Olsen	0.0694718
D'Alema	0.0690852
Kazhegeldin	0.0688682
Preval	0.0686595
"defense lawyers"	0.0685644
Pagones	0.0683661
Chabot	0.0681744
Chubais	0.0679331
Koirala	0.0679244
Arbour	0.0679123
Kalejs	0.0678995
Romer	0.0674707
Weizman	0.0674419
Berenson	0.0673024
Ghalib	0.0672834
Boyle	0.0665996
Madrazo	0.0665605
"Ronnie Flanagan"	0.0659976
Engel	0.0658854
Bhattarai	0.06569
Sharpton	0.0656626
Yavlinsky	0.0656133
Hinckley	0.0655223
Cheney	0.0654658
Hormel	0.0651462
Caddell	0.0651372
Menard	0.0647201
Kerik	0.0646928
Corzine	0.0646818
Ritter	0.0646425
Garza	0.0645512
Hodler	0.064345
Schumer	0.0640674
Schaeuble	0.063759
Voinovich	0.0637156
Labastida	0.0636652
Klerk	0.0635911
Mandelson	0.0631734
Groh	0.0631508
"Bill Lann Lee"	0.0630897
Charest	0.0630752
"Lino Oviedo"	0.0629537
Alioto	0.0629194
Neeman	0.0629171
Quackenbush	0.0628859
Bunning	0.0623338
Molinari	0.0623252
Krajisnik	0.0622688
Masur	0.0619336
"Vladimiro Montesinos"	0.0618679
Golisano	0.0618166
Diouf	0.0618022
Noboa	0.061705
MIYAZAWA	0.0612085
Choi	0.060877
Mahoney	0.0607312
Siegelman	0.0606926
Erbakan	0.060614
Sponeck	0.0605243
"Robert Guei"	0.0604017
Bubb	0.0603605
Koehler	0.0602359
Knievel	0.0602292
Lipinski	0.0601561
Wiranto	0.0601218
Carlesimo	0.0600768
Rehnquist	0.0598896
Grachev	0.0598343
"Al Fayed"	0.0598196
Kremer	0.0597517
EOHR	0.0596817
Hevesi	0.0596488
Izetbegovic	0.0596325
Obasanjo	0.0595912
Rideau	0.059519
McMillan	0.0593899
Sasser	0.0593648
"Fu Quanyou"	0.059355
Byers	0.0593009
Coelho	0.0592576
Moonves	0.0592176
BARNICLE	0.0591862
"Joel Klein"	0.0590621
Antley	0.0590566
Hoddle	0.058998
Golding	0.0589499
Pfeiffer	0.0589409
Draskovic	0.0588257
Bondevik	0.0587454
Puente	0.0587378
D'Amato	0.0585642
Karpov	0.0585415
Mokhehle	0.0584117
Blackmun	0.0583316
Gillespie	0.0581784
Treen	0.0581637
FAIRCLOTH	0.0581489
Protas	0.0581075
Kelleher	0.0579802
Nemtsov	0.0579396
Farber	0.0579181
Tuttle	0.0579115
Gargan	0.0577848
Verniero	0.0577633
Arens	0.0577425
Balaguer	0.0575744
Bolger	0.0575251
Rosen	0.057413
OSU	0.0573945
Ekeus	0.0573863
Nader	0.0572049
Ganga	0.0570313
Menchu	0.056969
Ness	0.0569655
Einhorn	0.0567867
Abubakar	0.056742
Smirnov	0.0566314
"Shaul Mofaz"	0.0565981
Rogan	0.0565794
Schippers	0.0565521
Mukora	0.0565158
Dungy	0.0564785
Cianci	0.056455
Schaefer	0.0564488
Faget	0.0564354
Klein	0.0563054
Shaath	0.0562919
Hanley	0.0561611
Carrera	0.0561314
Ashcroft	0.0561037
Harmoko	0.0560634
whomever	0.0560374
Herron	0.0559832
McGraw	0.0559379
Yazdi	0.0558475
Bowers	0.0558321
Ortega	0.0557988
Fraser	0.055797
Carnahan	0.0555866
Conte	0.0555701
Nouri	0.0554616
Cayard	0.055413
Dirani	0.0553992
Agarkar	0.0553938
Gomez	0.0553385
))
(Bacall (desc 1285.46) (sims
Hepburn	0.140557
Dench	0.116492
Grossberg	0.113719
Bergman	0.105536
Flockhart	0.0987383
Fonda	0.0933849
Congeniality	0.0901797
Manners	0.0880024
Winslet	0.0861615
Brawley	0.084832
Sills	0.0832438
Brazile	0.0823525
Roque	0.0812491
Osmond	0.0793596
Blanchett	0.0780179
Cooley	0.0764343
COYNE	0.0752303
Simons	0.0751484
Deneuve	0.0747719
Pascal	0.0731202
Sheedy	0.0729465
Morley	0.0724922
Moscoso	0.0717412
"Gary Cooper"	0.0707969
Abram	0.0697608
Ronstadt	0.0684847
Marchand	0.0679953
Edson	0.06774
Mucha	0.0672909
Rowley	0.067282
Tilberis	0.0671994
Pearce	0.066862
Nilsson	0.0663076
Briscoe	0.066004
Hamlin	0.0650904
Rivlin	0.0648552
Slatkin	0.0647699
Paltrow	0.0646036
Chenoweth	0.064386
Marceau	0.0642932
Scruggs	0.064116
piggy	0.0639128
Rosales	0.0632786
Jeffers	0.0627515
Manheim	0.0624419
Witherspoon	0.0623952
Tuttle	0.0622374
Suarez	0.0621027
Liston	0.0620861
Lockwood	0.0618865
Krall	0.0615698
Molinari	0.0614152
Midler	0.0612712
Wiggins	0.0612485
Barrymore	0.0612285
Kusama	0.0609902
Henning	0.0609161
Bassett	0.0608828
Fiorina	0.0607424
Mapes	0.0604603
Sarandon	0.0601317
Brando	0.0601141
McCormack	0.0599127
Bisek	0.0597757
Cleary	0.0596622
Hurley	0.0590623
"Ava Gardner"	0.0589426
Bloch	0.058808
Britton	0.058608
Lipstadt	0.0584938
Kurtz	0.0583776
Wasserstein	0.0583587
Jaffe	0.0580165
Tharp	0.0579794
Garvey	0.0579517
Janssen	0.0576465
Couric	0.0574298
Garber	0.0573312
Theron	0.0573146
Barlow	0.0569504
Rubinstein	0.0568737
joiner	0.0568695
Kagalovsky	0.0566496
Sheehy	0.0565873
LeFave	0.0565612
Duvall	0.0564973
Grunwald	0.0559776
Godfrey	0.0558051
Menchu	0.0554887
Falco	0.0554462
Cline	0.0552934
Kidman	0.0552116
Streep	0.0548666
Orton	0.0548521
Ricci	0.0547683
Bogart	0.054748
Ashrawi	0.0547306
Bartoli	0.0545822
Knapp	0.0544743
Northup	0.0541726
Arron	0.0540703
Upshaw	0.0535593
Griffiths	0.0534265
Oliveira	0.0533964
Landau	0.0533496
Farber	0.0531825
Webdale	0.0530623
Barad	0.0527161
Richards	0.0526678
Zellweger	0.0524363
Moxley	0.0522624
Bertha	0.0521598
Mckee	0.051853
Weil	0.0518173
Pape	0.0517193
Currier	0.0515933
Moroni	0.0514839
He/she	0.0513987
Yoakam	0.0513931
Redgrave	0.0513035
Albrecht	0.0512899
Trevi	0.0512575
Vogel	0.05122
Farley	0.051204
Dee	0.0511769
Ingalls	0.0511578
Bowers	0.0508709
Holzman	0.0508416
Reiter	0.0508357
Huffington	0.0507557
Donnelly	0.0507166
Ono	0.0506902
O'Hara	0.0505871
McFadden	0.0505763
Stacy	0.050254
Garfield	0.0502348
Aw	0.0499556
Muller	0.0499426
Hartley	0.0498661
Arbour	0.0497962
Portnoy	0.0497673
Soliah	0.0497322
Lahti	0.0496842
Olivier	0.0496685
Rupert	0.0495835
Dunham	0.0492634
Grammer	0.0492464
"John Lithgow"	0.0491589
Chrissie	0.0489436
Guerin	0.0488779
Streisand	0.0487865
Copeland	0.0487393
Griffith	0.0487265
Schafer	0.0487085
Mei	0.0485866
"Streetcar Named Desire"	0.0485158
Greenfield	0.0484913
Morissette	0.0483689
Berenson	0.0482757
Gannon	0.0482443
Lurie	0.0480405
Hickman	0.0479888
swain	0.0478771
Pierson	0.0478766
Bernhard	0.0477902
Rowe	0.0477307
Betts	0.0476196
Merritt	0.0476138
Lovett	0.047392
Kirkpatrick	0.0473876
Lowry	0.047329
Roberson	0.047276
Kurth	0.0472617
swank	0.0472551
Hanley	0.0471702
Seligman	0.0471701
Lehmann	0.0471271
pressman	0.0470406
Mortimer	0.0468944
Koop	0.0464815
DeFrantz	0.0464788
Ricart	0.0464021
Lange	0.0463354
Haines	0.0462186
Arquette	0.0462137
FitzPatrick	0.046196
Kingsley	0.046164
Sang	0.0461265
Stahl	0.0458357
Shulman	0.0456932
Hecht	0.0456802
Fay	0.0456287
Akers	0.0454068
Horne	0.0454054
Markovic	0.0453743
Bessette	0.0453626
Bloomfield	0.0452708
Cramer	0.0452207
Heche	0.0451955
Greco	0.0450845
))
(Baccarat (desc 1187.07) (sims
Waterford	0.160838
"wrought iron"	0.0889724
roulette	0.0824495
ping-pong	0.0717535
agro-techniques	0.0652027
"cobalt blue"	0.0634872
quartz	0.0628268
crap	0.0624454
teardrop	0.062069
"East Room"	0.0572547
aperitif	0.0572237
Bingo	0.0564864
C@@	0.0561349
midrange	0.0558724
"Cactus League"	0.0544
Formica	0.0539159
blackjack	0.0523914
Gatorade	0.0518977
billiards	0.0518132
Pong	0.0488007
horseshoe	0.048364
stoneware	0.0459574
Shockwave	0.0458106
cremation	0.0452066
multiplication	0.0446672
Seltzer	0.0437344
"European Champions League"	0.0437164
"Federated Department Stores"	0.0428885
"Georgia O'Keeffe"	0.0414812
pinball	0.0408073
"Southern Mississippi"	0.040615
geeky	0.0400636
))
(Bach (desc 12985.4) (sims
Beethoven	0.236145
Chopin	0.230809
Mozart	0.226717
Debussy	0.20633
Schubert	0.203467
Mendelssohn	0.20146
Brahms	0.197437
Rachmaninoff	0.191199
Haydn	0.19097
Bartok	0.18929
Stravinsky	0.184769
Liszt	0.18064
Vivaldi	0.179431
Tchaikovsky	0.176942
Schumann	0.176652
Ravel	0.158738
Strauss	0.150665
Schoenberg	0.146313
Gluck	0.144503
Mahler	0.14284
Prokofiev	0.142292
Bruckner	0.137131
DVORAK	0.123002
Handel	0.114807
Rossini	0.114615
Gershwin	0.114057
Shostakovich	0.113636
Elgar	0.113053
"Richard Strauss"	0.109879
Verdi	0.10359
Wagner	0.100367
Ives	0.0951376
Messiaen	0.0906681
Webern	0.0900604
Berlioz	0.08812
Puccini	0.0863753
composer	0.0820656
Ellington	0.0816878
"Philip Glass"	0.0786083
Berg	0.0774909
Harbison	0.0772379
Bernstein	0.0767134
Sinatra	0.0716224
Britten	0.0707192
"Duke Ellington"	0.0689235
"classical music"	0.0653641
concerto	0.0636021
harpsichord	0.0634613
Copland	0.061655
"chamber music"	0.0611015
"John Cage"	0.0610028
"Symphony No. @"	0.06053
symphony	0.0597559
Hemingway	0.05923
Shakespeare	0.0590939
Nutcracker	0.0588987
Beatles	0.0575439
Presley	0.0571009
Pushkin	0.0569484
Rodrigo	0.0564101
opera	0.0562442
Weill	0.0557759
"Fifth Symphony"	0.0553531
sonata	0.0548345
cello	0.0546802
Jazz	0.0532506
klezmer	0.0532016
"George Gershwin"	0.0521222
"John Williams"	0.0518765
Bellini	0.0517181
"Martha Graham"	0.0516038
"Charlie Parker"	0.0515608
Lennon	0.0507914
"Leonard Bernstein"	0.0504371
"Aaron Copland"	0.050402
Nietzsche	0.0496008
Balanchine	0.0490212
Pavarotti	0.0490015
"folk music"	0.0484414
Joplin	0.0481388
"Gilbert and Sullivan"	0.0473453
Thoreau	0.0471946
Puente	0.0468593
Weber	0.0463893
violin	0.046094
"William Shakespeare"	0.045943
"Beach Boys"	0.0457184
gospel	0.0455237
Brecht	0.0454387
Stroganoff	0.0451408
Goethe	0.0451249
Requiem	0.0451093
Chaucer	0.044908
"Andrew Lloyd Webber"	0.0448103
Picasso	0.0447281
ballet	0.0447102
Cline	0.0446702
"Louis Armstrong"	0.0444975
Truffaut	0.0444961
capella	0.0443964
"Noel Coward"	0.0443912
"Miles Davis"	0.0442744
Farber	0.0436922
Beowulf	0.0436293
Merritt	0.0435367
Rothschild	0.0435203
Silverstein	0.043469
"popular music"	0.0434001
"Rolling Stones"	0.0431664
Schiller	0.0429053
DeFrantz	0.0427309
Rodgers	0.0427129
Heade	0.0426543
Sondheim	0.0426236
"folk song"	0.0421546
Chorale	0.0421391
Degas	0.0418786
Elvis	0.0418408
Dylan	0.0416781
Barber	0.0416732
Freud	0.0413865
Hayden	0.0412656
Postel	0.0412366
Cahill	0.0411459
"Benny Goodman"	0.0410874
Hildegard	0.0410104
Horton	0.0409719
Emerson	0.0407991
"Frank Lloyd Wright"	0.0407729
"big band"	0.0407136
bluegrass	0.0404804
Flute	0.0404327
Ginsberg	0.0403719
"Peony Pavilion"	0.040161
))
(Bachelor (desc 14508.7) (sims
doctorate	0.12416
"bachelor's degree"	0.119757
B.A	0.103139
"master's degree"	0.0941066
M.A	0.0865849
Ph.D	0.0822731
"law degree"	0.0771572
undergraduate	0.0758956
MBA	0.0751562
Ph.D.s	0.0699134
divorcee	0.0681313
"married man"	0.0641234
housewife	0.0625148
degree	0.0624536
B.S	0.0609939
diploma	0.0592002
heartthrob	0.0582269
postgraduate	0.0576951
has-been	0.0563387
widower	0.0549802
socialite	0.0522487
homemaker	0.0518076
retiree	0.0511824
Lothario	0.0509554
suburbanite	0.0495291
millionaire	0.0494863
"graduate student"	0.0492847
Englishwoman	0.0492295
"eye doctor"	0.0491929
stockbroker	0.0491235
learner	0.0470582
ballplayer	0.0470371
"married woman"	0.0469253
"black woman"	0.0468433
businesswoman	0.0468327
restaurateur	0.0464375
newspaperman	0.0461654
"senior citizen"	0.0459192
"foster child"	0.0452837
"young man"	0.0449844
loner	0.0448721
optimist	0.0447675
"murder suspect"	0.0443486
"character actor"	0.0440633
"university student"	0.0439929
dropout	0.0438397
"investment banker"	0.0435023
entrepreneur	0.0433765
aristocrat	0.0433196
"baseball player"	0.0431711
Irishmen	0.0430716
mom	0.0429776
Parisian	0.0425861
adventurer	0.0425596
"disc jockey"	0.0425309
slacker	0.0425159
"real estate broker"	0.042222
outcast	0.0422193
idealist	0.0421061
businessman	0.0420896
"white man"	0.0420084
schooler	0.0419967
"prima donna"	0.0419809
"black man"	0.0416466
hippie	0.0415487
screenwriter	0.0414866
"church member"	0.0413639
servant	0.0413609
lover	0.0413096
novelist	0.0411748
"real estate developer"	0.0411367
"sports fan"	0.0409618
teen-ager	0.0409542
grad	0.0409471
slob	0.040564
superstar	0.0405579
sculptor	0.0405439
"fashion designer"	0.0403825
junkie	0.0403129
preacher	0.0402222
musician	0.0401451
curmudgeon	0.0400742
golfer	0.0400627
))
("bachelor's degree" (desc 12748.8) (sims
"master's degree"	0.475392
doctorate	0.413819
B.A	0.387119
Ph.D	0.324019
"law degree"	0.293555
degree	0.268544
M.A	0.259362
MBA	0.209962
laude	0.17151
diploma	0.126166
Ph.D.s	0.121057
Bachelor	0.119757
"graduate student"	0.113517
"honorary degree"	0.110137
"electrical engineering"	0.101129
master	0.0994633
"political science"	0.0980994
"Phi Beta Kappa"	0.0960825
lecturer	0.0891668
undergraduate	0.0885044
professorship	0.0849011
researcher	0.0756249
B.S	0.0726878
"degree program"	0.0703202
graduation	0.0700997
economics	0.0698675
"Nobel prize"	0.0678833
background	0.0666255
expertise	0.0654163
GPA	0.0594705
excellence	0.0591309
Grounding	0.0579152
postgraduate	0.0578161
"graduate school"	0.0557252
fellowship	0.0555478
physics	0.0550629
knighthood	0.052296
certificate	0.0494359
"computer science"	0.0486318
"chemical engineering"	0.0469918
sociology	0.0467941
laureate	0.0464518
"grade point average"	0.0457132
psychology	0.0449009
"speeding ticket"	0.0443335
sabbatical	0.0437576
immersion	0.0435159
Exam	0.0432465
"final exam"	0.0432133
eighth-graders	0.0424912
"assistant professor"	0.042015
credential	0.0417717
well-versed	0.0415743
demography	0.0410183
enrollment	0.0408829
))
(bacillus (desc 1745.22) (sims
bacterium	0.115627
O@@@:H@	0.11476
"West Nile"	0.102247
bacteria	0.0974763
"Love Bug"	0.0974546
"accounting problem"	0.0938703
spore	0.0921162
microbe	0.0914223
Hantavirus	0.0906451
anthrax	0.0891381
listeria	0.0891102
coli	0.0885713
fungus	0.0857875
rinderpest	0.0856695
polyp	0.0842607
"foot-and-mouth disease"	0.0838574
canker	0.0835697
salmonella	0.0824119
germ	0.0807303
"woman's body"	0.0803026
ebola	0.0797432
botulism	0.0784177
"Creutzfeldt-Jakob Disease"	0.074865
"chemical compound"	0.0741317
arsenic	0.0740579
pixie	0.0737442
encephalitis	0.0724382
Chlamydia	0.0712887
Rabies	0.0712771
CJD	0.0697846
Dengue	0.0683338
toxin	0.0667716
influenza	0.06603
smallpox	0.06437
malignancy	0.0634811
cryptosporidium	0.0625958
Lyme	0.0615467
VX	0.0613459
"food poisoning"	0.0610341
"burial ground"	0.0600583
pathogen	0.0597294
pseudoephedrine	0.0586053
impurity	0.0576678
"dengue fever"	0.0575274
"Human Immunodeficiency Virus"	0.0572082
beryllium	0.0570857
"yellow fever"	0.0569979
"nitric oxide"	0.056217
antibody	0.0560662
"hepatitis A"	0.0558782
pox	0.0558117
"AIDS virus"	0.0558112
T-cells	0.0548943
microorganism	0.054727
"organic compound"	0.0544838
"bubonic plague"	0.0536993
CFCs	0.0535214
syphilis	0.0532166
penicillin	0.053174
HIV-@	0.053149
"malignant tumor"	0.0531385
"growth hormone"	0.0529437
"genetic disease"	0.0522571
"contagious disease"	0.0519093
hepatitis	0.0510348
"nerve gas"	0.0510309
stowaway	0.0503591
benzene	0.0498851
radioactivity	0.0495382
hGH	0.049196
Berle	0.048924
radium	0.0488815
contraband	0.0487344
Dolly	0.0487188
cyanide	0.0484665
barnyard	0.047855
dioxin	0.0478462
macro	0.0477683
"four million tons"	0.0476123
vermiculite	0.0472526
"animal disease"	0.0469876
Sarin	0.0469449
giardia	0.0465551
"more than @@@ million tons"	0.0461425
"love letter"	0.0459511
BSE	0.0456455
plutonium	0.0456418
chromium	0.0456288
"T cell"	0.0455804
antigen	0.045342
anti-Semite	0.045085
Meningitis	0.0449384
"more than @@ million tons"	0.0441872
"respiratory disease"	0.0437546
contagion	0.0437312
cortisone	0.0437248
"infectious disease"	0.0435974
"circuit board"	0.0435322
"acquired immune deficiency syndrome"	0.0433487
Dysentery	0.0431793
rollovers	0.0426276
parasite	0.0422844
"wonder drug"	0.0422829
fungi	0.0422659
melanoma	0.0422106
nitrate	0.042183
Yorktown	0.0420899
homophobia	0.0418724
"fire ant"	0.0418619
tritium	0.0412943
"Karla Faye Tucker"	0.0412878
"explosive device"	0.0412757
nodule	0.0409439
"plastic explosive"	0.0409368
ILOVEYOU	0.0408231
contaminant	0.0407376
sedative	0.0407317
amphetamine	0.0405095
measles	0.0404034
hotspots	0.0401586
"sulfuric acid"	0.0400207
"human growth hormone"	0.0400004
))
(back (desc 207259) (sims
shoulder	0.154523
chest	0.14662
neck	0.135192
knee	0.13286
wrist	0.129982
leg	0.122627
rear	0.122164
front	0.118995
ankle	0.116568
thigh	0.115459
elbow	0.115446
side	0.113053
hip	0.110597
arm	0.10944
stomach	0.105173
abdomen	0.103651
Foot	0.103032
face	0.102972
head	0.102374
top	0.0997338
groin	0.0984902
wall	0.0966259
corner	0.0949604
forehead	0.094469
forearm	0.0914152
hamstring	0.0912104
door	0.0894926
hand	0.0893797
bottom	0.0848377
feet	0.0824548
floor	0.0815151
rib	0.0808009
finger	0.0797285
muscle	0.0792621
toe	0.0787392
roof	0.0786184
window	0.0783374
nose	0.0776764
body	0.0766742
spine	0.0761594
throat	0.074718
"right hand"	0.0741132
car	0.0741036
belly	0.0739646
thumb	0.0735777
seat	0.0733579
eye	0.0730628
line	0.0726864
ear	0.0724831
heart	0.071303
mouth	0.0709386
cheek	0.0706008
it	0.0700812
one	0.070029
calf	0.0695161
jaw	0.0693542
bed	0.0688483
"running back"	0.0687575
edge	0.0681618
ball	0.0669858
room	0.066474
injury	0.0656757
box	0.0653859
guy	0.0650698
middle	0.0648119
"left hand"	0.0647189
player	0.0646861
ground	0.0638573
tendon	0.0636582
tail	0.0635653
wheel	0.0633096
chair	0.0633081
bone	0.0631681
heel	0.0631477
waist	0.0631269
lip	0.0630206
row	0.0628106
table	0.0623887
there	0.0616372
bench	0.0615845
tree	0.0615176
ligament	0.0609837
lot	0.0609065
them	0.0604318
screen	0.0603956
truck	0.060233
lung	0.0602197
receiver	0.0598355
butt	0.0597595
bag	0.0591017
Chin	0.0588984
hole	0.0586102
brain	0.0586083
surface	0.0585494
sleeve	0.0584414
limb	0.0582707
me	0.0579622
skin	0.0579193
him	0.0578653
trunk	0.0577757
pocket	0.0576096
helmet	0.0574658
field	0.0573413
page	0.0565151
right	0.0562796
desk	0.0561515
street	0.0559897
building	0.0559031
bus	0.0558966
house	0.0558087
frame	0.0556673
piece	0.055511
linemen	0.0554188
end	0.0553435
spot	0.05521
stage	0.0551529
place	0.0550988
locker	0.054899
gate	0.0546387
some	0.054486
two	0.054416
breast	0.0543749
bedroom	0.0543294
ceiling	0.0542595
lap	0.0542217
home	0.0542098
all	0.0541912
skull	0.0541767
part	0.0541281
net	0.0540832
fence	0.0540824
mind	0.0539465
Defense	0.0537319
shot	0.0535225
quarterback	0.0533792
team	0.0529728
train	0.0527354
bar	0.0527188
game	0.0527098
vehicle	0.0526645
"tight end"	0.0526079
track	0.0525956
shirt	0.052581
pole	0.052368
"front door"	0.0523673
plate	0.0522122
thing	0.0517123
grass	0.0514607
Hood	0.0513866
deck	0.0512379
kid	0.0511974
hair	0.0511495
boat	0.05111
hill	0.0510009
man	0.0507798
block	0.0506837
joint	0.0506494
center	0.0504049
base	0.0504032
stick	0.0503567
his	0.0503467
her	0.0503271
board	0.0502137
shoe	0.0499919
step	0.0499643
wing	0.049933
ICE	0.049862
basement	0.0498207
point	0.0497849
path	0.0497645
rock	0.0497526
collar	0.0497312
balcony	0.0495722
linebacker	0.0495036
Three	0.0494954
pain	0.0494846
glove	0.0493802
entrance	0.0493329
"parking lot"	0.0492996
us	0.0492332
concussion	0.0492258
list	0.0492225
yard	0.0491936
glass	0.0491335
wood	0.0490044
air	0.0489612
you	0.048844
horse	0.0486553
position	0.0486305
sign	0.0485476
wound	0.0484927
bullpen	0.0484464
couple	0.0484089
pile	0.0484004
offense	0.0483864
plane	0.0483859
people	0.04833
green	0.0483299
pitch	0.0482827
mountain	0.0481949
))
("back country" (desc 2881.55) (sims
wilderness	0.0826136
"Grand Canyon National Park"	0.0785747
outback	0.0538502
"cross country"	0.0535081
southland	0.0510678
"Black Hills"	0.0494067
Sedona	0.048454
foothill	0.048374
Marjayoun	0.0480131
"hot spring"	0.0479432
smallholder	0.0476525
deadend	0.0461151
beachside	0.046107
glade	0.0447129
mountaineering	0.0444524
Catskill	0.0444159
blacktop	0.044106
woodland	0.0433213
"old country"	0.0427224
fact-finding	0.0427056
hiking	0.0423802
"Georges Bank"	0.0419761
"East Texas"	0.0417281
"New Territories"	0.0414198
"fourth generation"	0.0408647
parkland	0.0407061
frontage	0.0405605
))
("back door" (desc 11662.2) (sims
"side door"	0.211413
"front door"	0.163048
backdoor	0.147331
door	0.113465
"screen door"	0.0812258
gate	0.0749216
"car door"	0.0715621
sidearm	0.0676173
"back room"	0.0564823
mailbox	0.0524062
vestibule	0.052321
torching	0.0521249
turnstile	0.0513429
"open door"	0.0496153
doorway	0.049551
bathroom	0.048393
garage	0.0481402
occupant	0.0470957
stoop	0.0463561
driveway	0.0457463
tailgate	0.0456996
"voting booth"	0.0440314
skylight	0.0439855
"front room"	0.043892
"ballot box"	0.0437352
"face saving"	0.0435785
backroom	0.04219
soulmate	0.0418361
foyer	0.0412362
"filing cabinet"	0.041222
patio	0.0408327
"dining room"	0.040221
"Hail Mary"	0.040035
))
("back end" (desc 4263.85) (sims
"front end"	0.118923
"back office"	0.0832735
tailgate	0.0662236
leasing	0.0606174
"rear end"	0.0605789
windshield	0.0550508
"data processing"	0.0540701
undercarriage	0.0535366
three-fifths	0.0518099
windscreen	0.0490974
handlebar	0.0485887
business-to-business	0.0482321
fender	0.0480737
"rearview mirror"	0.0465787
unloading	0.0461345
jigsaw	0.0456409
"tail end"	0.0451805
nt	0.0449121
parimutuel	0.0448884
barter	0.0438576
videophone	0.0436833
"first four years"	0.043459
intranet	0.0429044
Filtration	0.0415548
"wireless telephone"	0.0414896
compression	0.0412805
personalization	0.0409607
KLIA	0.0407078
two-fifths	0.0406161
p/e	0.0404508
e-business	0.0402827
styling	0.0401545
))
("back office" (desc 3359.27) (sims
"data processing"	0.124315
"data entry"	0.0934503
warehousing	0.0903309
bookkeeping	0.0837519
"back end"	0.0832735
"Microsoft Office"	0.0801015
"customer service"	0.0762275
leasing	0.0759242
videophone	0.0732965
business-to-business	0.0709076
childcare	0.0703446
B@B	0.0691617
"mainframe computer"	0.0670742
DMV	0.0655606
"word processing"	0.0654734
sawmill	0.0634974
"electronic warfare"	0.0634092
parimutuel	0.0632838
emulator	0.0625264
telemarketing	0.0623148
barter	0.0617005
logistics	0.0614853
"charge card"	0.061475
e-business	0.06133
inpatient	0.0612561
umpiring	0.0610126
Northpoint	0.0608844
procurement	0.060263
retrieval	0.0601212
"computer system"	0.0599076
"traffic control"	0.0592325
Filtration	0.0591377
"data communication"	0.0590349
intranet	0.0587289
telephony	0.0585802
mainframe	0.0584764
spreadsheet	0.0584612
"line of products"	0.0573914
"nursing care"	0.0573423
"about @@@ to @@@"	0.0568316
heliport	0.0563967
"number crunching"	0.0562202
"bond trading"	0.0559989
"computer business"	0.0556592
"wireless telephone"	0.0556423
"inventory control"	0.0555787
nt	0.0551238
bare-bones	0.054994
computing	0.0547387
CPS	0.0537747
vending	0.0536636
asp	0.0531951
workfare	0.0529181
oil-for-food	0.0528989
"information system"	0.0526257
multimedia	0.0524878
purification	0.052386
"machine shop"	0.0523165
browsing	0.0520253
consultancy	0.0519612
daycare	0.0517818
"Office @@"	0.0516906
merchandising	0.051498
refining	0.0514578
multimillion	0.0513483
"retail operation"	0.0509754
fulltime	0.0506626
mutuel	0.0506225
"Office @@@@"	0.0505487
"computer programming"	0.0498802
NewsRoom	0.0497505
housekeeping	0.0496774
editing	0.0496323
"sales staff"	0.0496155
fallback	0.049382
"Windows @.@"	0.0492855
"Cliffs Notes"	0.0491654
telemedicine	0.0490732
"hole in the ground"	0.0490203
SAS	0.0488372
forklift	0.0484441
BIA	0.0482975
"securities business"	0.0482489
stevedore	0.0481177
"public transit"	0.0480688
"R&AMP;D"	0.04806
"back room"	0.0480291
CAD	0.047936
filtering	0.0478719
"Medicare HMO"	0.0478134
Trucking	0.0477227
DOS	0.0470658
chaebol	0.0470139
"cash register"	0.0465236
printing	0.0464862
mapping	0.0463959
overdraft	0.0461634
"Microsoft Windows"	0.0461489
"Western Union"	0.0460574
Gaming	0.0460419
"information service"	0.0459256
billing	0.0457713
"Mac OS"	0.045353
"bank card"	0.0452381
"data system"	0.0451983
"investment banking"	0.0451856
midrange	0.0451554
small-business	0.0450465
E-Stamp	0.0449329
booking	0.0448257
copier	0.0447781
"trading post"	0.0446228
"assembly line"	0.0445357
"cabin cruiser"	0.0444685
sheepskin	0.0444208
smelter	0.044383
Unix	0.0443052
Encryption	0.0442727
shareware	0.0442605
"Boys Ranch"	0.0442514
"accounting system"	0.0442348
notary	0.0442191
visualization	0.0441302
reconnaissance	0.0441298
"public transport"	0.0440777
"software system"	0.0439175
divestiture	0.0438787
IC	0.0438215
"business enterprise"	0.0437321
WordPerfect	0.0437137
liposuction	0.0436086
sewer	0.0434948
"Windows CE"	0.0433874
superstructure	0.0432368
grading	0.0432101
"export credit"	0.0431964
Beehive	0.0431037
"convenience store"	0.0429894
"jelly bean"	0.0429315
dictation	0.0429221
"flood control"	0.0429063
Gnutella	0.0428647
clearing	0.0427913
storefront	0.0427827
escrow	0.042575
"Windows NT"	0.0425729
abattoir	0.0425438
"central heating"	0.0424607
emulation	0.0424298
divestment	0.0424262
"recording studio"	0.0423861
disincentive	0.0423541
E-ZPass	0.0422474
avionics	0.0420868
repurchase	0.0420662
off-campus	0.0420604
contingency	0.041951
"central office"	0.0418865
NSA	0.0417824
backroom	0.041778
Lilco	0.0417435
"artificial intelligence"	0.0416517
WAP	0.0416343
"Pentium III"	0.0416174
decontamination	0.0415965
"day care"	0.0415833
"Pentium II"	0.0415641
reorientation	0.0415089
"proxy statement"	0.0414429
buyback	0.0412403
vasectomy	0.0411879
imaging	0.0411562
"close to @@,@@@"	0.0411351
"roughly @@,@@@"	0.0411078
flagship	0.0411066
Behind-the-scenes	0.0411003
tenancy	0.0410934
"computer network"	0.0410862
babysitting	0.0409978
postage	0.0409739
"night shift"	0.0409664
sewerage	0.0409181
"garbage disposal"	0.0408705
decoding	0.0408438
diem	0.0406874
"retail store"	0.0406319
"cutting edge"	0.0406025
"product development"	0.0405729
PowerPoint	0.0405196
"local area network"	0.0405174
Conrail	0.0404972
Quicktime	0.0404473
Telecoms	0.0404296
"drainage area"	0.0404286
turbine	0.0403421
contracting	0.0403228
"ad agency"	0.0403077
PR	0.040306
co-owners	0.0402519
"line of business"	0.0402017
))
("back pain" (desc 7552.6) (sims
"chest pain"	0.212163
arthritis	0.203588
migraine	0.201428
insomnia	0.200675
epilepsy	0.186525
nausea	0.186224
ailment	0.183696
asthma	0.183646
dizziness	0.182498
"high blood pressure"	0.174936
angina	0.174614
"memory loss"	0.17459
soreness	0.17385
headache	0.172562
bronchitis	0.171326
ulcer	0.170421
osteoarthritis	0.169169
"rheumatoid arthritis"	0.167671
cramp	0.165085
Osteoporosis	0.163704
heartburn	0.160998
hypertension	0.160423
"Parkinson's disease"	0.158004
diarrhea	0.151498
hemophilia	0.151114
stiffness	0.150421
palpitation	0.149901
pain	0.14971
constipation	0.149496
"heart disease"	0.149091
stomachache	0.148839
emphysema	0.148105
indigestion	0.144808
"hay fever"	0.143364
tendinitis	0.143073
anemia	0.142402
allergy	0.14214
fatigue	0.141148
"multiple sclerosis"	0.14012
diabetes	0.140025
schizophrenia	0.139859
pneumonia	0.137657
vomiting	0.137631
"heart failure"	0.135481
Depression	0.135154
syndrome	0.134907
spasm	0.134292
"skin rash"	0.133023
disorder	0.132973
symptom	0.129826
"mental disorder"	0.129027
dehydration	0.127672
dementia	0.127234
"mental illness"	0.126554
ache	0.12449
shortness	0.124486
"colon cancer"	0.124388
"heart condition"	0.124054
"congestive heart failure"	0.123727
"sore throat"	0.123463
infection	0.121905
"food poisoning"	0.1216
sprain	0.12144
leukemia	0.121172
gastroenteritis	0.12013
injury	0.11769
illness	0.1167
fever	0.116438
heartbeat	0.116159
cataract	0.115601
fracture	0.115527
"health problem"	0.115299
numbness	0.114131
"manic depression"	0.113893
Alcoholism	0.112999
Alzheimer	0.112891
hepatitis	0.112507
"Lyme disease"	0.112231
impotence	0.111844
drowsiness	0.11157
hernia	0.111115
Obesity	0.110907
"respiratory disease"	0.110865
"asthma attack"	0.109939
infertility	0.109647
"heat exhaustion"	0.108939
"cystic fibrosis"	0.10873
"cardiovascular disease"	0.10762
inflammation	0.106883
"writer's block"	0.106834
"liver disease"	0.10556
blister	0.105325
"heart attack"	0.104761
lymphoma	0.104426
Exhaustion	0.103905
acne	0.103652
Parkinson's	0.102549
flu	0.102433
dysfunction	0.101911
"cerebral palsy"	0.100666
groin	0.0982588
"brain tumor"	0.0981328
rash	0.0979973
glaucoma	0.0970524
hypothermia	0.0968789
cough	0.0962654
"upset stomach"	0.0960193
"hot flash"	0.0959429
hamstring	0.0958223
melanoma	0.0953316
discomfort	0.095125
"morning sickness"	0.0951238
"lung cancer"	0.0946001
concussion	0.0943272
cancer	0.0940156
sore	0.0939084
psoriasis	0.0932233
"liquidity problem"	0.0931061
irritation	0.0917107
incontinence	0.0916384
"kidney disease"	0.0915657
paralysis	0.0915577
autism	0.0914603
sickness	0.0908671
tightness	0.090593
disorientation	0.0905127
malaria	0.0903195
"eye disease"	0.0896142
disease	0.0895472
"skin cancer"	0.0889738
"common cold"	0.0886988
"personality disorder"	0.0880274
disability	0.0879444
"hepatitis B"	0.0871295
gout	0.0866408
relapse	0.0866247
poisoning	0.0860609
congestion	0.0860188
"panic attack"	0.0859751
scarcity	0.0859506
ADHD	0.0857469
"neurological disorder"	0.0853411
nosebleed	0.0852138
lupus	0.0851517
swelling	0.0850761
"cash crunch"	0.0849371
malnutrition	0.0846533
frostbite	0.084639
trauma	0.0841747
nearsightedness	0.0835148
"blood clot"	0.0834377
"blood pressure"	0.0830976
tuberculosis	0.0828485
diarrhoea	0.0827653
muscle	0.0825762
als	0.0822933
cholesterol	0.0817757
ankle	0.081667
inhalation	0.0815893
defect	0.0814331
"heroin addiction"	0.0812949
impairment	0.081223
anxiety	0.0808461
fibrillation	0.0806803
malady	0.0806313
blindness	0.0803727
seizure	0.0801196
bruise	0.0800981
tiredness	0.079564
"emotional distress"	0.079367
"skin disease"	0.0791381
"bipolar disorder"	0.0787597
"leg bone"	0.0786258
"dog bite"	0.0785993
"drug addiction"	0.0785768
abnormality	0.0785071
contusion	0.0783878
whiplash	0.078073
Psychosis	0.0777849
"muscular dystrophy"	0.0777493
homesickness	0.0776706
myeloma	0.0775285
apnea	0.0773195
deprivation	0.0772807
"kidney stone"	0.0770232
jaundice	0.0767229
Distress	0.0766215
narcolepsy	0.0762812
influenza	0.0762592
anorexia	0.0753263
lethargy	0.0753261
"tooth decay"	0.0750982
kidney	0.0743179
ligament	0.0741878
Addiction	0.0741136
complication	0.0741066
"engine failure"	0.0741008
"anxiety disorder"	0.0737724
"dengue fever"	0.0736692
"inferiority complex"	0.0730844
))
("back porch" (desc 2731.27) (sims
porch	0.160825
"front porch"	0.134618
patio	0.110406
balcony	0.0795872
veranda	0.0773645
"park bench"	0.0711052
stoop	0.0611731
terrace	0.0609169
"cargo area"	0.0598547
potty	0.0597279
mantelpiece	0.0594983
rooftop	0.0567115
mammogram	0.0558185
"street corner"	0.0557104
cot	0.0537909
"second match point"	0.0533005
WINDOWSILL	0.0527445
"family room"	0.050407
"kitchen table"	0.0494953
"South Lawn"	0.0489141
"studio apartment"	0.0483101
ledge	0.0478826
tarmac	0.0466984
led	0.0458577
"storage room"	0.0447392
bookshelf	0.0447224
PCC	0.044433
"draft board"	0.0440689
"front room"	0.0439807
dais	0.0439455
mantel	0.0428595
"flour mill"	0.0424007
"rocket fuel"	0.0414205
torching	0.0411281
gallows	0.0407311
doorbell	0.0403945
"master bedroom"	0.0403453
"front yard"	0.0403317
))
("back room" (desc 7101.26) (sims
basement	0.114974
"front room"	0.0955843
bedroom	0.0933495
"conference room"	0.093118
"living room"	0.089954
"dining room"	0.0884081
"family room"	0.0881701
"dressing room"	0.0827316
closet	0.0818693
courtyard	0.0816012
hallway	0.0799139
lounge	0.0748394
kitchen	0.0717801
den	0.0716453
alcove	0.0709438
foyer	0.0707582
garage	0.0703438
doorway	0.0694853
"waiting room"	0.0686637
restroom	0.0679828
attic	0.0669312
Warehouse	0.065166
"dorm room"	0.0651554
cafeteria	0.0650452
cellar	0.0648888
ballroom	0.0645926
"parking lot"	0.0640058
gymnasium	0.0632214
bathroom	0.0627535
cubicle	0.0615629
classroom	0.0604098
"hotel room"	0.0603153
"East Room"	0.0597447
courtroom	0.0589992
"back yard"	0.0581797
"coffee shop"	0.0581395
"hospital room"	0.0581
"phone booth"	0.0578728
cabin	0.0577712
auditorium	0.0568566
"back door"	0.0564823
parlor	0.0562506
Alley	0.0559471
"South End"	0.0557235
drawer	0.0556247
"locker room"	0.0550859
backyard	0.0550226
"bomb shelter"	0.0547033
showroom	0.0537609
cage	0.0535515
attics	0.0533424
"office building"	0.0529628
"front yard"	0.0523026
thicket	0.0520882
"men's room"	0.0519714
dugout	0.0519627
porch	0.0518327
carport	0.0518027
dustbin	0.0514774
dorm	0.0513585
sanctum	0.0511923
"jail cell"	0.0503061
sanctuary	0.0496437
vestibule	0.0495858
bowel	0.0490841
boardroom	0.049058
proprietor	0.0490065
"holding cell"	0.0488562
"first floor"	0.0487966
patio	0.0485746
lunchroom	0.0484713
"deposit box"	0.0481286
"back office"	0.0480291
compartment	0.0476885
loft	0.0476277
pew	0.0476196
Igloo	0.0474626
cavern	0.0473563
pantry	0.0472016
"boarding house"	0.0469047
"police van"	0.0463563
freezer	0.046179
"front door"	0.0460104
"prison cell"	0.0459348
co-owner	0.0458998
balcony	0.0455669
Dumpster	0.0453909
barn	0.0450885
driveway	0.0449508
limousine	0.0448175
aisle	0.0446586
Bin	0.0445428
"bank vault"	0.0443664
"movie theater"	0.0441884
"recording studio"	0.0440597
pub	0.0439973
locker	0.043766
"no man's land"	0.0437119
nook	0.0433899
gym	0.0430492
"sitting room"	0.0428286
"dormitory room"	0.0425178
tearoom	0.0422587
limbo	0.0421503
mushrooming	0.0418483
trunk	0.0412276
terrace	0.0408898
hangar	0.0408273
tub	0.0406062
torching	0.0403219
"front porch"	0.0401581
"front entrance"	0.0400817
))
("back street" (desc 1525.47) (sims
"grammar school"	0.0584482
alleyway	0.0571291
Spillway	0.0568743
"holiday resort"	0.0534515
"east northeast"	0.0518362
crag	0.0516244
"Far Eastern"	0.0506544
third-grade	0.0492973
footpath	0.0489805
kamikaze	0.047178
"Malaysian capital"	0.0467625
pinup	0.0462385
"rooming house"	0.0460549
ex-mayor	0.045035
preteen	0.0449914
protectorate	0.044597
Clinton-Lewinsky	0.0443385
byway	0.0441087
"mountain pass"	0.042951
thoroughfare	0.0423318
half-dozen	0.0416997
Cineplex	0.0415464
on-and-off	0.0415421
yeshiva	0.0410516
))
("back yard" (desc 24205) (sims
backyard	0.18358
"front yard"	0.139921
yard	0.106756
courtyard	0.0978658
garden	0.090433
driveway	0.0900535
garage	0.0844547
basement	0.0773149
"living room"	0.077267
"parking lot"	0.0748639
lawn	0.073958
kitchen	0.0733879
park	0.072542
pasture	0.0720331
bedroom	0.0712945
"vacant lot"	0.0697928
"swimming pool"	0.0625787
closet	0.0624864
hallway	0.0608199
porch	0.0607637
neighborhood	0.0599513
patio	0.0598039
"back room"	0.0581797
"dining room"	0.0580977
apartment	0.0573174
cemetery	0.056973
bathroom	0.0541163
meadow	0.0532551
"family room"	0.0531681
foyer	0.0530322
middle	0.0528927
"Central Park"	0.0523388
classroom	0.0518841
gym	0.0513673
square	0.0509682
den	0.0503001
desert	0.0502294
cellar	0.0501926
suburb	0.0500355
sidewalk	0.0499258
plaza	0.0496512
countryside	0.0494244
"sitting room"	0.0491827
pool	0.0484294
cage	0.0483634
"front porch"	0.0480524
playground	0.0474272
"rose garden"	0.047416
Alley	0.0474137
"picnic area"	0.0471232
clubhouse	0.0460634
bathtub	0.0458212
schoolyard	0.0457173
barn	0.0457051
Grove	0.0449336
pond	0.0448747
"locker room"	0.0448303
gutter	0.0443993
hill	0.0443985
"hotel room"	0.0443424
balcony	0.0443031
subdivision	0.0440017
terrace	0.04391
forest	0.0437986
grass	0.0434822
Warehouse	0.0433449
outfield	0.0431249
bed	0.0429239
sandbox	0.0426204
hillside	0.0420857
deck	0.0417586
sanctuary	0.0417465
pocket	0.0417242
valley	0.0415864
gymnasium	0.0415172
"dorm room"	0.0414602
cabin	0.0414481
puddle	0.0414416
parlor	0.0413059
mall	0.0410746
attic	0.0410305
"conference room"	0.0409294
orchard	0.0408953
library	0.0405448
mailbox	0.0404768
duplex	0.0401431
))
(back-and-forth (desc 3735.53) (sims
sparring	0.105715
colloquy	0.0868144
joust	0.0863943
firefights	0.0778103
bickering	0.0772977
fisticuffs	0.0758516
"waiting game"	0.0731204
tug-of-war	0.0728056
spat	0.0696568
squabble	0.0686794
brouhaha	0.0681586
wrangling	0.0677217
bargaining	0.0675241
give-and-take	0.0666934
"guessing game"	0.0647971
haggling	0.0638085
Minuet	0.0636359
tussle	0.0628679
finger-pointing	0.0627589
wrangle	0.0624853
ruckus	0.0610522
slugfest	0.0594633
"lynch mob"	0.058779
fracas	0.0585164
brinkmanship	0.0572305
dogfight	0.056238
duel	0.0561402
horse-trading	0.0553748
contretemps	0.0553724
skirmish	0.0552167
interplay	0.0550197
banter	0.0547547
"health check"	0.0542479
fistfight	0.0541482
harangue	0.0540842
dustup	0.0537961
firefight	0.0531341
"medical exam"	0.0529061
parley	0.0528538
divergence	0.0522332
acrimony	0.0521267
mumbo-jumbo	0.051751
"hue and cry"	0.0512593
scuffle	0.0510855
gunbattle	0.0502429
face-off	0.05024
brinksmanship	0.0500063
free-for-all	0.0495773
"ad blitz"	0.0495526
cross-fertilization	0.0495227
pique	0.0485957
"public debate"	0.0484651
quarrel	0.0483544
shootout	0.0482367
in-fighting	0.0477582
altercation	0.047415
verbiage	0.0466856
contortion	0.0462093
maneuvering	0.046207
spanking	0.0461739
postmortem	0.0460755
"line of questioning"	0.0460543
soul-searching	0.0459212
"written agreement"	0.0457874
"saber rattling"	0.0457553
commotion	0.0455745
friction	0.0455713
chatter	0.045237
flak	0.0452124
obfuscation	0.0448287
"pitched battle"	0.044796
"difference of opinion"	0.0447095
"trial balloon"	0.0444452
"wrestling match"	0.0442816
skittishness	0.0437575
reshuffling	0.043367
shakeout	0.0432707
repartee	0.0431529
"Great Divide"	0.0431056
ribbing	0.0430693
Bochco	0.0430502
furor	0.0429216
gunfight	0.0428262
"rest day"	0.0428093
flurry	0.0427207
grappling	0.0422405
self-examination	0.0420961
"battle line"	0.0420886
sidelight	0.0420572
groundswell	0.0420539
Tous	0.0419183
tirade	0.0419077
chitchat	0.0418906
"high jinks"	0.0418206
"foot traffic"	0.0418014
customization	0.0416919
uproar	0.0414686
brio	0.0414319
profligacy	0.0413365
axiom	0.0412898
"deficit spending"	0.0410478
backroom	0.0408745
"price war"	0.0408029
crosscurrent	0.0407571
jostling	0.0407555
discourse	0.0407068
bullishness	0.0406904
epiphany	0.0406791
overstatement	0.0406484
crossfire	0.0405998
recrimination	0.0405102
bloodletting	0.0403245
exhumation	0.0403205
gamesmanship	0.0402952
"Joint Declaration"	0.0400244
))
(back. (desc 980.695) (sims
"rib cage"	0.21437
triceps	0.12764
quadriceps	0.126007
"achilles tendon"	0.12378
Achilles	0.112003
flexor	0.0860458
forearm	0.0752147
buttock	0.0667615
outta	0.0649819
"leg bone"	0.0635559
"income bracket"	0.062162
extremity	0.0604432
here.	0.0601235
biceps	0.0575644
"hook shot"	0.0564897
"off-speed pitch"	0.0564537
double-teamed	0.0560461
kneecap	0.0560346
ACL	0.055635
eyelid	0.0544534
antsy	0.0543788
tibia	0.0533405
team.	0.053307
gallbladder	0.0530981
"Desert Fox"	0.0528783
shin	0.0523187
octave	0.0517452
forkball	0.0512739
"business processe"	0.0512476
"vocal cord"	0.0511555
sternum	0.0496337
Quad	0.049527
"cost structure"	0.0483622
jawbone	0.0482584
comeuppance	0.0482555
streak.	0.0473212
fascia	0.0469636
"Snake River"	0.0464105
downcourt	0.046052
fibula	0.0460107
"power cable"	0.0458615
"middle finger"	0.0456282
bloodhound	0.0454515
labrum	0.0453237
hyper	0.0449583
lobe	0.04456
"breaking ball"	0.0436202
egomaniac	0.0430979
battler	0.042707
suspender	0.042523
airway	0.0423524
Minuet	0.0417089
"white person"	0.0411776
"center of gravity"	0.0411536
"bank shot"	0.0402479
))
(backbencher (desc 2116.84) (sims
left-winger	0.159947
MP	0.0949302
"New York Democrats"	0.090951
"Free Democrats"	0.0841067
parliamentarian	0.0840982
right-winger	0.0755139
"Southern Democrats"	0.0753527
"rank and file"	0.0728494
Tsvangirai	0.0702621
"high command"	0.0695545
experimenter	0.0691503
"vote counter"	0.0685448
humanist	0.0675739
"Free Democratic Party"	0.0664046
"cabinet minister"	0.0662278
"John Major"	0.0657036
functionary	0.0654461
"second reading"	0.0651229
Muscovite	0.0636315
"floor leader"	0.0634481
"newspaper editor"	0.0627158
rank-and-file	0.062567
"Secretary General Esmat Abdul-Meguid"	0.0616885
"absolute majority"	0.0614663
unionist	0.0612729
dissenter	0.0612007
picketers	0.0608348
"Joint Liaison Group"	0.0598731
"New York Republicans"	0.0592835
socialist	0.0589793
clergymen	0.0584739
conferees	0.0581174
Quebecers	0.0580696
"John Bruton"	0.0580437
Husseini	0.0578351
"pressure group"	0.0577403
"union member"	0.0570109
"True Path Party"	0.056867
"PLO Executive Committee"	0.0566257
broadsheet	0.0565956
Yadav	0.0564064
"lynch mob"	0.0560282
Baptists	0.0560175
bargainer	0.0558461
"de Charette"	0.0557975
"economic expert"	0.0553398
"business executive"	0.0548939
"Kosovo Serbs"	0.0546491
Abdel-Meguid	0.0545739
"Liberal Democrats"	0.0543844
mortal	0.0540315
"New Democrats"	0.0534175
autocrat	0.0532875
"union worker"	0.0532739
Scalfaro	0.0528795
stalwart	0.0528348
"leadership position"	0.0527192
"House Republicans"	0.0522773
congressmen	0.0519314
leftist	0.0518857
Seleznyov	0.0518062
doomsayers	0.0516321
Zajedno	0.0516281
officals	0.0515953
cleric	0.0515532
"labor union"	0.0515511
sympathizer	0.0510445
CPN-UML	0.0510109
Meguid	0.0510102
"Welfare Party"	0.0509411
"Democratic Unionist Party"	0.0508703
monarchist	0.0507437
Iowan	0.050661
Rodionov	0.050569
"religious leader"	0.0504039
ideologue	0.0503924
"coal miner"	0.0503287
protestor	0.050293
"point man"	0.0502815
"Valery Pustovoitenko"	0.0500199
Beijingers	0.0498218
hard-liner	0.0496688
Londoner	0.0494852
"Alcoholics Anonymous"	0.0494628
reservist	0.0494278
Islamists	0.0493587
steelworker	0.0493528
"minority shareholder"	0.0493366
Georgian	0.0492765
Jovanovic	0.0491727
Ecuadoreans	0.049129
Fino	0.0491288
firebrand	0.0490942
"Arab Parliamentary Union"	0.0489763
"standard bearer"	0.0489492
"television star"	0.0489307
Arab-Americans	0.0489112
"market watcher"	0.0488587
aldermen	0.0487039
"civil rights leader"	0.0487
agitator	0.0485377
Wenger	0.0485112
"United Liberal Democrats"	0.0484043
feminist	0.0482845
"weather forecaster"	0.04808
evangelicals	0.047978
"Minister Shlomo Ben-Ami"	0.0478375
Tory	0.0475653
isolationist	0.047556
"Meretz Party"	0.0475303
CPN-ML	0.0475253
Klima	0.047508
chairmen	0.0474224
"American Jews"	0.0474218
"university student"	0.047316
moralist	0.0473119
"Yossi Beilin"	0.0472358
"labor leader"	0.0471622
"Rod Grams"	0.0471081
"Liberal Party"	0.0469507
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0469411
"political boss"	0.046872
Komura	0.0468703
Creationists	0.0464134
"Freedom Union"	0.0463897
"Israeli Knesset"	0.0462659
Kharrazi	0.0462493
"Haim Ramon"	0.0462088
"National Religious Party"	0.046141
Cuban-Americans	0.0461103
"Speaker Ali Akbar Nateq-Nouri"	0.0460934
orator	0.046065
"David Bar-Illan"	0.0460285
prelate	0.0459967
"corporate executive"	0.0459904
"Bangladesh Nationalist Party"	0.0459559
Wilhelm	0.0459346
realist	0.0459092
"cabinet member"	0.0458872
"Koichi Kato"	0.0458717
"Robert Aventajado"	0.0458067
centrist	0.0457814
"traveling salesman"	0.0457034
D'Alema	0.0455802
"black person"	0.0455073
"House Democrats"	0.0454775
"Herri Batasuna"	0.0454175
Kyprianou	0.0452972
"cause celebre"	0.0452309
"Secretary General Esmat Abdel-Meguid"	0.0451537
"Linda Smith"	0.0451254
"United Front"	0.0449088
"Guy Millner"	0.0449084
"Senate Republicans"	0.0448106
"Protestant denomination"	0.0447564
"Martin McGuinness"	0.0447404
Nasrallah	0.0447246
preservationists	0.0446902
"Monetary Policy Committee"	0.0446734
Kurd	0.0446289
renegade	0.044601
"Ulster Unionists"	0.0445203
"foreign service officer"	0.0444411
"paramilitary organization"	0.0443341
schooler	0.0442787
Sumaye	0.0442714
Demaci	0.0442673
"Labor office"	0.0442625
Minnesotan	0.0441908
"trade unionist"	0.0441432
Pangalos	0.0441201
"Esmat Abdel Meguid"	0.044062
rightist	0.0440444
"John Howard"	0.0440354
"Pete Holland"	0.044027
technocrat	0.0439979
"Ulster Unionist"	0.0439942
probationer	0.0439371
Italian-Americans	0.0439113
"Yossi Sarid"	0.043911
ANAP	0.0439082
brethren	0.0438817
ensign	0.0437765
"beer drinker"	0.0437636
Aidid	0.0436851
"William S. Cohen"	0.0436586
Ohioan	0.0436066
guidepost	0.0435755
Postmaster	0.0435576
"Sri Lankans"	0.0435343
Yabloko	0.0434075
"Jehovah's Witnesses"	0.0433568
"Hanan Ashrawi"	0.0432779
Mkapa	0.0432739
Juppe	0.0432571
Ashrawi	0.0432252
nostrum	0.0431528
"union representative"	0.0431098
"planning board"	0.0431074
"political action committee"	0.0430623
))
(backboard (desc 5282.85) (sims
crossbar	0.0953329
rim	0.0782026
goalpost	0.069936
putback	0.058841
upright	0.0585877
Basso	0.0542464
windshield	0.0540635
"foul shot"	0.0519418
three-pointer	0.0505252
"window frame"	0.0478821
Stackhouse	0.0477186
Stretcher	0.0470548
"free throw"	0.0460411
fastbreak	0.045959
shin	0.0459471
"penalty box"	0.0459237
scoreboard	0.0457866
mallet	0.045603
tip-in	0.0451416
Trey	0.04498
"Garvaghy Road"	0.0448065
"another @-pointer"	0.0443742
dashboard	0.0440825
Counsell	0.0435709
"Court @"	0.043006
"off-speed pitch"	0.0429869
baseline	0.0428177
"goal line"	0.0423336
hippocampus	0.0421865
"conveyor belt"	0.0419144
"pitcher's mound"	0.0418911
berm	0.04123
dowel	0.0410013
femur	0.0409425
timeout	0.0403418
"drinking fountain"	0.0402418
))
(backbone (desc 22995.5) (sims
mainstay	0.115881
pillar	0.10508
cornerstone	0.0948948
"driving force"	0.0912628
lifeblood	0.0842603
infrastructure	0.0780492
foundation	0.0744569
component	0.0722438
core	0.0715659
lifeline	0.0707522
"trunk line"	0.0684543
network	0.0675064
earner	0.0670605
ISDN	0.0664083
telecommunication	0.0656847
spine	0.0635296
"data communication"	0.0634146
hub	0.063059
"telephone network"	0.0622817
linchpin	0.0621276
bulwark	0.0619854
"communication network"	0.0609316
"computer network"	0.0608298
bedrock	0.060636
"building block"	0.0603688
provider	0.0603105
capability	0.0600298
Telecoms	0.0600279
"focal point"	0.0597448
tool	0.0595187
broadband	0.0591083
strength	0.059102
fundamental	0.058282
"component part"	0.0579545
GSM	0.0565985
bottleneck	0.0562388
"communications network"	0.0560427
"cable system"	0.0559257
workhorse	0.0558683
"Achilles' heel"	0.0555405
framework	0.0554575
element	0.0550396
engine	0.0544469
"wireless telephone"	0.0544032
gatekeeper	0.0543762
"information superhighway"	0.0543553
DSL	0.054304
priority	0.0540862
essential	0.0539203
flagship	0.0537474
node	0.0536596
networking	0.0526456
supplier	0.0525879
Portal	0.0525746
catalyst	0.0523779
bandwidth	0.0521665
resource	0.0517847
centerpiece	0.0512766
"nerve center"	0.0512159
machinery	0.0509405
"power grid"	0.0506639
conduit	0.0505014
bastion	0.0503794
incubator	0.0502984
hallmark	0.0502719
Gateway	0.0502521
"information technology"	0.049848
beneficiary	0.0496142
bulk	0.0494766
conscience	0.0494365
cable	0.0494079
instrument	0.0492668
efficiency	0.0492475
directory	0.0491355
savior	0.0491202
server	0.0491084
"phone service"	0.0486355
cohesiveness	0.0486071
weakness	0.0485964
staple	0.0484888
dynamism	0.0479426
capacity	0.0478419
communication	0.0477018
nucleus	0.0476013
expansion	0.0475822
overhaul	0.0474818
guarantor	0.047099
determination	0.0470096
"cable television"	0.0469416
railway	0.0468641
"growth industry"	0.0467277
"success story"	0.0467167
"transportation system"	0.0466209
"telephone service"	0.0466086
cohesion	0.0465496
contributor	0.0465259
energy	0.04645
barometer	0.0463954
savvy	0.0463722
connectivity	0.0462406
wireless	0.0462138
Telecom	0.0461667
pipeline	0.0460679
expertise	0.0460612
buoyancy	0.0460102
"strong point"	0.0460004
"fiber optics"	0.045999
segment	0.0458183
"communications service"	0.0457323
complementarity	0.0456539
Echelon	0.0456111
bellwether	0.0455549
"central nervous system"	0.0454531
"role model"	0.0453656
characteristic	0.0453431
powerhouse	0.0451684
linkage	0.0451499
cog	0.0451253
telephony	0.0450182
competitiveness	0.0449427
stimulus	0.0449092
transformation	0.0447189
wherewithal	0.0447084
niche	0.0446357
"information service"	0.0446326
mechanism	0.0446281
revitalization	0.0445509
brain	0.0445446
router	0.0445322
transmission	0.044198
foundations	0.0439899
impetus	0.043985
knowledge	0.0439641
aspect	0.0439439
prerequisite	0.0439404
"bread and butter"	0.0438572
modem	0.0438286
platform	0.043763
carrier	0.0437456
financing	0.0437054
vanguard	0.0436077
justification	0.0435313
continuity	0.0434488
Guardian	0.0434466
undertaking	0.0434127
deterrent	0.0433471
soundness	0.0432373
intermediary	0.0431657
transportation	0.0431156
upgrading	0.0429519
clout	0.0429237
"business unit"	0.0426545
arbiter	0.0425413
"support system"	0.0424805
"master plan"	0.0424594
know-how	0.0424082
objective	0.0423582
healthcare	0.0423482
"optical fiber"	0.0423259
moneymaker	0.0421625
"leading indicator"	0.0421193
repository	0.0420847
necessity	0.0420635
restructuring	0.0419219
"distribution network"	0.0418616
stability	0.0418543
dependent	0.0418407
interconnection	0.041769
multimedia	0.0416839
blueprint	0.0416518
importance	0.041465
shortcoming	0.0414088
competence	0.041378
plumbing	0.0412897
middleman	0.0412264
milestone	0.0412184
visionary	0.0411559
one-third	0.0410827
clearinghouse	0.0410004
"water supply"	0.0409486
custodian	0.040946
entity	0.0407778
viability	0.0407103
artery	0.0407096
modernization	0.0406694
mainstream	0.0406076
"information system"	0.0405925
locomotive	0.0405778
sustainability	0.0405439
"high technology"	0.0405001
superiority	0.0404485
"core group"	0.0403755
"standard bearer"	0.040358
dynamics	0.04033
"about one-third"	0.0402985
mouthpiece	0.0402772
hardware	0.0402748
fragility	0.0400703
))
(backcourt (desc 13097.1) (sims
frontcourt	0.179949
backfield	0.108618
"second unit"	0.0924178
secondary	0.0848262
frontline	0.0808265
outfield	0.0779773
lineup	0.0687173
"Jason Terry"	0.0670964
"front line"	0.0658038
"Ron Artest"	0.0652576
cornerbacks	0.0638299
"Steve Francis"	0.0629416
midfield	0.0621923
tandem	0.0618335
pitching	0.0610929
"first @@ points"	0.0609106
"running game"	0.0598088
tailback	0.0594489
bench	0.0591916
bullpen	0.0585391
QB	0.0582356
scorer	0.0579771
"passing game"	0.0573793
rotation	0.0565501
"Michael Dickerson"	0.0558091
goaltenders	0.0538313
"Jason Williams"	0.0528288
"role player"	0.0523505
playmakers	0.0522992
"Andre Miller"	0.0521511
threesome	0.0520205
"Glen Rice"	0.0518701
shooter	0.0518194
"tight end"	0.0516166
defensemen	0.051492
"basketball team"	0.0511413
"Kobe Bryant"	0.0508043
linemen	0.0507932
"Mike Bibby"	0.0504711
"Michael Wiley"	0.0504166
roster	0.0500709
playmaker	0.0492851
"coaching job"	0.0487102
"pass catcher"	0.0482622
infield	0.0480878
"Terry Porter"	0.0480374
"three pitchers"	0.0478444
"running back"	0.0473616
rebounder	0.0468976
O'Neal	0.0464965
duo	0.0464824
"first team"	0.0462479
"Kurt Thomas"	0.0460463
"Charles Barkley"	0.045915
rebounders	0.0458112
"Ron Harper"	0.0456098
receiver	0.045546
husky	0.0453989
fullback	0.0451871
"Scottie Pippen"	0.0451004
"Michael Finley"	0.0449993
"Scoonie Penn"	0.0449743
"Ricky Moore"	0.0449095
"Alonzo Mourning"	0.0447043
"Allan Houston"	0.0446058
"Shaquille O'Neal"	0.0443638
QBs	0.0442055
goalie	0.0437497
"Dan Gadzuric"	0.0435733
"second best"	0.043241
Bryant	0.0429545
"Shareef Abdur-Rahim"	0.0429028
"Hakeem Olajuwon"	0.0426606
swingman	0.042546
trio	0.0424453
punter	0.0423348
cornerback	0.0423075
rusher	0.0422582
foursome	0.0421781
linebacker	0.0421534
wideouts	0.042016
"Reggie Miller"	0.0419036
twosome	0.041867
"Trajan Langdon"	0.0418324
Kicker	0.0417909
postseason	0.0415724
"locker room"	0.041535
"Wang Zhizhi"	0.0414853
"Derek Fisher"	0.0413773
"Latrell Sprewell"	0.0412973
lineman	0.0411769
"second line"	0.0411696
"power play"	0.0411504
"Larry Johnson"	0.0410034
post-season	0.0409308
shootaround	0.0408733
"Brian Shaw"	0.0407306
"Tim Duncan"	0.0407107
midfielders	0.0406903
"penalty box"	0.0400879
))
(backdoor (desc 2118.34) (sims
fastbreak	0.149089
"back door"	0.147331
sidearm	0.12377
fourth-down	0.108456
eleventh-hour	0.107975
scattershot	0.0928262
two-point	0.0909547
"Hail Mary"	0.0867623
CPF	0.0858827
Blown	0.0795587
go-slow	0.0740859
U.S.-Russian	0.0723908
putback	0.069155
nuts-and-bolts	0.06836
pickoff	0.0670973
third-down	0.0668429
Behind-the-scenes	0.0662285
Hands-off	0.065646
inbounds	0.0656352
game-tying	0.0642346
four-point	0.063756
"first eight"	0.0626845
six-point	0.062312
obstructionist	0.0621987
steamroller	0.057505
GSP	0.0564635
fourth-and-@	0.0547015
CWC	0.0544304
three-point	0.0541654
kamikaze	0.0520881
"Bank of Canada"	0.0519369
third-and-@	0.0517765
"face saving"	0.0514533
hands-on	0.0503048
"hypodermic needle"	0.0501272
minimalist	0.0480131
collaborative	0.0479301
fast-track	0.0478405
helluva	0.0476473
contrarian	0.0475817
Gimme	0.0474195
"B&AMP;B"	0.0474195
hardball	0.0472763
Judaization	0.0471244
phonics	0.0470539
"first nine"	0.0468213
five-point	0.046691
three-mile	0.0466439
lastest	0.046608
Arab-Israeli	0.0465033
one-point	0.0464919
broad-based	0.0462444
lockbox	0.0457646
wraparound	0.0452019
slam-dunk	0.0450883
east-west	0.0450341
IGC	0.0449854
W-@	0.0448445
harder	0.044843
high-stakes	0.044728
"New Democrat"	0.0445303
"phone book"	0.0443173
Hasselbeck	0.0441042
"food stamp"	0.0438247
stealth	0.0433885
FTA	0.0433229
proactive	0.043026
"START III"	0.0429695
coastguard	0.0428281
megaphone	0.042591
"first six"	0.0425239
"first @@"	0.042391
"Robin Hood"	0.0422659
childcare	0.0422628
"Trojan Horse"	0.0422108
ADP	0.042168
"Medicare HMO"	0.0420395
backroom	0.0420184
bluesy	0.0418384
"Cactus League"	0.0416423
ODA	0.0415223
hand-delivered	0.0414266
steppingstone	0.0413171
downcourt	0.0412532
"laissez faire"	0.0411842
NHRA	0.0410915
"French door"	0.0409793
seven-point	0.0409672
forklift	0.0405047
"first four"	0.0404595
go-ahead	0.0403322
two-step	0.0401763
detoxification	0.0400647
))
(backdrop (desc 46666.4) (sims
background	0.0926842
setting	0.0734563
landscape	0.0687693
Vista	0.0666261
reminder	0.0661224
symbol	0.065516
context	0.0630581
undercurrent	0.0628718
tableau	0.0617476
scenery	0.0613906
Panorama	0.0604034
metaphor	0.0603782
scene	0.0592696
atmosphere	0.0583172
tone	0.0575579
light	0.0572847
counterpoint	0.0570532
prop	0.0566994
costume	0.0565651
theme	0.0563764
illustration	0.0558915
image	0.0552296
spite	0.0540248
wake	0.0537067
climax	0.0529373
mural	0.0528061
"focal point"	0.0525163
color	0.0518689
picture	0.0511616
facade	0.0511185
spectacle	0.05102
reflection	0.0507606
"starting point"	0.0505485
shadow	0.0502658
prelude	0.0502631
imagery	0.0502596
sequence	0.0501867
pattern	0.0499555
visuals	0.0498189
fodder	0.0497842
collage	0.0496696
possibility	0.0493698
brunt	0.0493203
wall	0.0491236
portrait	0.0490896
showcase	0.0487383
soundtrack	0.0473886
barometer	0.0473042
scenario	0.0471673
palette	0.0470956
example	0.0470043
mood	0.0469825
inspiration	0.0469067
climate	0.0467917
beauty	0.0467815
accompaniment	0.0467424
aftermath	0.0467069
subtext	0.046613
shade	0.0464121
midst	0.0464026
tale	0.0463968
interior	0.0463967
wave	0.0462368
canvas	0.0461749
depiction	0.0461557
rendering	0.045711
aspect	0.0455118
footage	0.0452454
tapestry	0.0451712
element	0.0451198
undertone	0.0449939
motif	0.0449889
impetus	0.0449815
footnote	0.0449733
consequence	0.0447916
painting	0.0447623
continuation	0.0446157
sight	0.0445841
"special effect"	0.0445506
swirl	0.0445089
expanse	0.0444166
reality	0.0443727
object	0.0436722
indication	0.0436558
evocation	0.0436378
photograph	0.0433867
moment	0.0433388
sort	0.043315
location	0.0430114
vision	0.0430111
prospect	0.0429509
montage	0.0428887
dimension	0.0428641
hue	0.0426546
snapshot	0.0426322
drama	0.0425239
venue	0.0424306
piece	0.0423278
hint	0.0422826
centerpiece	0.0418338
description	0.0415805
"New Wave"	0.0414582
monument	0.0414096
specter	0.0413991
aura	0.0413765
collection	0.0412512
Lighting	0.0411824
drawing	0.0411818
surroundings	0.0411564
array	0.0411192
repository	0.0410888
texture	0.041009
frame	0.0408482
manifestation	0.0408335
decoration	0.0408324
throe	0.0408123
structure	0.0408058
legacy	0.0406944
sense	0.0405855
preview	0.040548
combination	0.0404732
juxtaposition	0.0403777
cinematography	0.0403735
narrative	0.0403548
outgrowth	0.0403211
twist	0.0403172
tribute	0.0403048
decor	0.0402569
catalyst	0.0401637
edifice	0.0400991
haven	0.0400842
sketch	0.040075
exterior	0.04007
spate	0.0400217
))
(backer (desc 44102.1) (sims
supporter	0.230662
proponent	0.164577
ally	0.151896
sponsor	0.131653
opponent	0.128052
advocate	0.120511
critic	0.118089
loyalist	0.1166
"campaign official"	0.114192
foe	0.113871
aide	0.107265
strategist	0.103809
environmentalist	0.0982596
Republican	0.0981098
adviser	0.095559
Democrat	0.0952439
contributor	0.0934261
activist	0.0905602
benefactor	0.0897135
donor	0.0888877
lawmaker	0.0882816
detractor	0.0871049
conservative	0.086085
associate	0.0847504
endorsement	0.084567
follower	0.084137
member	0.0839448
partisan	0.0827881
booster	0.0825163
investor	0.0815494
lobbyist	0.0811969
leader	0.0810581
politician	0.0810138
developer	0.0802648
legislator	0.0801286
rival	0.0799138
admirer	0.0797672
organizer	0.0787457
surrogate	0.078072
appointee	0.0774803
skeptic	0.0774707
candidacy	0.0772979
promoter	0.0772953
architect	0.0761537
candidate	0.0758841
"business leader"	0.0758432
patron	0.0754664
fund-raiser	0.0744101
operative	0.0738515
voter	0.0737044
"interest group"	0.0734633
fan	0.0722507
"campaign adviser"	0.0722054
official	0.0718747
constituent	0.0710977
friend	0.0709947
confidant	0.0709941
congressmen	0.070896
"political leader"	0.0706934
moderate	0.0701064
owner	0.0694879
"labor leader"	0.0694063
sympathizer	0.069233
staffer	0.0692209
backing	0.0686201
colleague	0.0684323
senator	0.068386
enemy	0.0680656
delegate	0.0674773
campaign	0.0671965
challenger	0.0671382
lawyer	0.067119
manager	0.0668477
financier	0.0668125
administration	0.0665689
"campaign worker"	0.0665684
hard-liner	0.0665074
defender	0.0663632
banker	0.0661114
liberal	0.0659922
"staff member"	0.0657481
executive	0.0653078
nationalist	0.0650876
confidante	0.0650251
client	0.0650138
partner	0.0649176
beneficiary	0.0645585
insider	0.0644002
participant	0.0643882
"running mate"	0.0643598
trader	0.0643408
chairman	0.0635258
adversary	0.063488
Alumni	0.0633098
buyer	0.0628873
"labor union"	0.0628748
opposition	0.0627231
"power broker"	0.062682
advertiser	0.0625257
"venture capitalist"	0.0622187
pollster	0.0620474
campaigner	0.0619481
party	0.061912
reformer	0.0618633
"elected official"	0.0616233
representative	0.0615418
"press secretary"	0.0615249
faction	0.0614867
shareholder	0.0612718
"council member"	0.0610922
consultant	0.0609537
observer	0.0607582
analyst	0.0607356
faithful	0.0606977
educator	0.0601614
Communist	0.0601357
protester	0.0600502
leftist	0.0600406
customer	0.0599873
planner	0.0599788
favor	0.0599415
antagonist	0.0597507
bidder	0.0595865
devotee	0.0595724
veteran	0.0588034
distributor	0.0587839
watcher	0.058204
businessmen	0.0579562
volunteer	0.0578142
"union member"	0.0577611
"family member"	0.0576989
constituency	0.0575589
designer	0.0575392
advocacy	0.0575206
negotiator	0.0574174
supplier	0.057138
producer	0.0571312
"legal expert"	0.0570221
relative	0.0568582
doctor	0.0567569
regulator	0.0566339
Governor	0.0565659
"Wall Street analyst"	0.0565038
"media consultant"	0.0564646
author	0.0563378
journalist	0.0562581
"board member"	0.0560744
publisher	0.0559741
chairmen	0.0559695
conservationist	0.0558837
"National Rifle Association"	0.055879
pundit	0.0557814
officeholder	0.055741
dissident	0.0556532
leadership	0.0556445
endorser	0.0555495
"world leader"	0.0555487
nominee	0.0553789
cleric	0.0553133
"vice president"	0.0552164
neighbor	0.0551797
economist	0.0551667
resident	0.0551575
spokesmen	0.0550423
broker	0.0550235
tenant	0.054929
director	0.0547325
Mayor	0.0547222
collector	0.0545409
scientist	0.0545228
aspirant	0.0544804
enthusiast	0.0544675
incumbent	0.0543796
administrator	0.0543128
believer	0.054152
crony	0.0541132
stockholder	0.0540902
reviewer	0.0540832
expert	0.0540282
Programmer	0.0539982
majority	0.0539584
Attorney	0.0539482
Congressman	0.0538406
initiator	0.0538211
diplomat	0.0536929
"committee member"	0.0536686
homeowner	0.0536575
independent	0.0535845
"Steve Forbes"	0.0535534
"investment banker"	0.0535387
consumer	0.0535257
criticism	0.0534984
contender	0.0533371
listener	0.0532844
scholar	0.0532393
"political party"	0.0531602
Catholic	0.0530029
competitor	0.0529858
"military leader"	0.0529074
folk	0.0528008
))
(backfield (desc 11412.3) (sims
secondary	0.152909
backcourt	0.108618
"running game"	0.0977209
outfield	0.0963858
frontcourt	0.0800038
"passing game"	0.0789807
linemen	0.0789805
"locker room"	0.0778635
lineup	0.0753244
rotation	0.074923
midfield	0.0748164
"running back"	0.0747397
offense	0.0724009
"line coach"	0.0720157
"tight end"	0.0713721
rushers	0.070144
receiver	0.0699641
quarterback	0.0694278
linebacker	0.0672681
playbook	0.0671906
bullpen	0.066825
lineman	0.0658729
huddle	0.0652752
mini-camp	0.0647161
"football team"	0.0627995
tackler	0.0626403
Kicker	0.0608038
cornerback	0.0602858
fullback	0.0590839
cornerbacks	0.058659
"game plan"	0.0585204
QB	0.0558406
roster	0.0541906
rusher	0.0538313
threesome	0.0535715
playmakers	0.0518509
punter	0.0509616
"dressing room"	0.0507816
"batter's box"	0.0494031
tailback	0.0490881
"big league"	0.0487977
dugout	0.0484341
infield	0.0482979
wideouts	0.0478609
"AFC Championship Game"	0.0472926
preseason	0.0469661
touchdown	0.04696
minicamp	0.0461516
downfield	0.0459682
scrimmage	0.0458945
clubhouse	0.0455552
bounds	0.0454139
QBs	0.0451136
"Wayne Chrebet"	0.0445658
"National Football League"	0.0444421
"exhibition season"	0.0441698
"Pro Bowl"	0.0441157
offseason	0.0441101
"Ernie Zampese"	0.0439086
"frame of mind"	0.0439039
"exhibition game"	0.043836
post-season	0.0431843
"winner's circle"	0.0430707
"Top @@"	0.0428638
tacklers	0.0428171
"second unit"	0.0426756
"minor league"	0.0424947
"basketball team"	0.0423723
"left field"	0.0422899
"starting gate"	0.0422839
"penalty box"	0.0421609
"Big @@"	0.0420584
punt	0.0418346
"bag of tricks"	0.0416682
"coaching job"	0.0416327
ballgame	0.041575
foursome	0.0412912
ACC	0.0407581
doghouse	0.0406191
"front line"	0.0405267
"batting order"	0.040183
))
(backfire (desc 1100.66) (sims
"lynch mob"	0.0829288
"brush fire"	0.0766032
rollovers	0.0763787
conflagration	0.0697506
"waiting game"	0.0671375
"hanky panky"	0.0663258
"space walk"	0.0629232
backsliding	0.0619417
"chain reaction"	0.0597031
break-in	0.0596694
"warning light"	0.058654
aspersion	0.0571597
nonevent	0.0557952
caldron	0.0551026
"alarm bell"	0.0547312
overheating	0.0544886
sectarianism	0.0541612
firestorm	0.0530893
"speeding ticket"	0.0528152
fakery	0.052809
tie-break	0.0523046
adulteration	0.0519097
horseplay	0.0517099
informing	0.0515315
murder-suicide	0.0512507
altimeter	0.0510152
reverser	0.0509753
"volcanic eruption"	0.0508674
assembler	0.0505002
subsidence	0.0504446
stalling	0.0503987
"rocket engine"	0.0502585
"identification number"	0.0498011
permissiveness	0.0494538
"interest rate increase"	0.0491881
timeframe	0.0491093
malfeasance	0.0487221
brinksmanship	0.0483603
"horizontal stabilizer"	0.0472175
"bank failure"	0.0471286
crewman	0.0470921
webcams	0.046855
"Trojan Horse"	0.0467526
insolvency	0.0465702
"Young Turk"	0.046517
"house party"	0.0464501
"piece of cloth"	0.0461973
cantata	0.0459887
overexposure	0.0458185
taskforce	0.0456926
quarterfinalists	0.0456722
"booby trap"	0.0455209
"margin call"	0.0454359
"shell game"	0.0453477
three-pointers	0.0451038
singularity	0.0450273
traction	0.0446881
"high-water mark"	0.0446175
ignition	0.0443122
bedspread	0.0440611
letdown	0.0438094
"patrol ship"	0.0437687
"two inches"	0.0435403
tsunami	0.043448
"chemical compound"	0.0434477
Stigmata	0.0433998
"district line"	0.043395
Ayatollah	0.0433702
broadside	0.0433465
NCEC	0.0432695
"Los Angeles City Council"	0.043231
powerboat	0.0431975
meltdowns	0.0431194
"safe harbor"	0.0431104
decal	0.0429638
tailpipe	0.0429047
outperformance	0.0428757
Burnout	0.0426507
"falling off"	0.0425888
snuck	0.0425717
"weather satellite"	0.0424796
"cold snap"	0.042401
condensation	0.0422865
"United Malays National Organization"	0.0422824
"Middle West"	0.0422573
zeppelin	0.0422305
Nuke	0.0421323
"cash crunch"	0.0421188
metronome	0.0421057
abattoir	0.0420609
subversion	0.0419752
jackscrew	0.041898
sub-branches	0.0418898
"grim reaper"	0.0417189
flare-up	0.0416372
overconfidence	0.04156
misjudgments	0.0415474
ill-treatment	0.0415429
mildew	0.0415287
burnings	0.0413894
"race riot"	0.0413584
"personnel department"	0.0413308
disappearing	0.0412892
"period piece"	0.0412278
swastika	0.0411797
MP@s	0.0410845
numbness	0.0409674
frostbite	0.0409556
hex	0.0408581
"Business Times"	0.0407504
"Commonwealth Ministerial Action Group"	0.040669
bloodhound	0.0406561
hyperinflation	0.0406206
"Renault SA"	0.0405058
Ostracism	0.040441
self-censorship	0.0404001
coming-out	0.0403854
corroboration	0.0403788
one-up	0.0403497
spray-painted	0.0403434
freeloader	0.0401385
UNRWA	0.0401354
guffaw	0.0400992
"reference book"	0.0400649
EPZ	0.0400088
))
(background (desc 110713) (sims
experience	0.131669
skill	0.112235
credential	0.102801
history	0.102057
ethnicity	0.101106
origin	0.10043
identity	0.0976773
personality	0.0970352
expertise	0.0944126
backdrop	0.0926842
ability	0.091865
style	0.0915931
upbringing	0.0896409
culture	0.0888798
knowledge	0.0881149
nationality	0.0873657
tradition	0.0872709
heritage	0.0871597
perspective	0.0866513
qualification	0.086551
degree	0.086414
talent	0.0863853
affiliation	0.0842395
temperament	0.0842128
reputation	0.0827808
character	0.0823218
religion	0.082304
nature	0.0815208
life	0.0812814
root	0.0810863
circumstance	0.0797352
color	0.0795071
quality	0.079102
gender	0.0790863
career	0.0775195
role	0.0772263
interest	0.0770415
ethic	0.0764306
orientation	0.0763838
habit	0.0760579
taste	0.0759297
past	0.0754521
vision	0.0751646
ideology	0.0751426
pedigree	0.0747885
status	0.0744573
characteristic	0.0742927
achievement	0.0740037
view	0.0737218
accomplishment	0.0736431
image	0.0736308
age	0.0730074
attitude	0.0728929
belief	0.0728257
name	0.0728043
philosophy	0.0726454
"religious belief"	0.0722756
strength	0.0722646
accent	0.0721573
stature	0.0721302
detail	0.0719482
language	0.0717453
education	0.0715711
training	0.0713731
viewpoint	0.0712978
theme	0.0712116
record	0.0703504
geography	0.0702515
sensibility	0.0701561
behavior	0.0700665
pattern	0.0699426
fact	0.0699274
profile	0.0698285
value	0.0695368
landscape	0.0694696
relationship	0.0686639
ancestry	0.0686399
preference	0.0683711
influence	0.0681383
motive	0.0681366
voice	0.0680928
connection	0.0680825
motivation	0.0677155
technique	0.0674642
condition	0.0672252
content	0.0671735
"bachelor's degree"	0.0666255
"point of view"	0.0665832
size	0.0664805
aspect	0.0664096
lifestyle	0.0660534
"medical history"	0.0660201
setting	0.0659693
potential	0.0657082
picture	0.0654783
position	0.0653225
doctorate	0.0653118
context	0.0652226
passion	0.065156
memory	0.0651334
situation	0.065114
demeanor	0.0650972
capability	0.06506
idea	0.064915
intelligence	0.0648507
job	0.0644934
disability	0.0644604
faith	0.0643934
approach	0.0643883
depth	0.0643393
structure	0.0639279
need	0.0638047
opinion	0.0635214
environment	0.0633077
tone	0.0632319
problem	0.0629958
class	0.0628518
concept	0.0626887
performance	0.0626474
sense	0.0625097
wealth	0.0623534
"master's degree"	0.062325
face	0.0622152
involvement	0.0620355
trend	0.0620299
success	0.0620074
information	0.0619625
manner	0.0616009
ambition	0.0615952
mind	0.0615166
family	0.0614545
diversity	0.0613918
description	0.0613737
strategy	0.0612831
design	0.0612665
activity	0.0612575
persuasion	0.0609901
feature	0.06087
method	0.06057
location	0.0604291
agenda	0.0603508
trait	0.0603156
"social system"	0.0602626
resource	0.0601788
story	0.0600792
shadow	0.0599848
resume	0.0598959
health	0.0598587
impact	0.0597569
difficulty	0.0595174
presence	0.0594664
reality	0.0594629
element	0.0592986
wisdom	0.0592758
number	0.0592569
music	0.0590961
direction	0.0590942
sex	0.058857
climate	0.0586912
moral	0.0586509
policy	0.0586321
politics	0.058618
makeup	0.0583922
lifestyles	0.0582763
type	0.0580625
discipline	0.0580608
acumen	0.0580114
practice	0.0580097
issue	0.0579784
creed	0.0578783
competence	0.0578176
"ethnic group"	0.0577145
dimension	0.0576645
factor	0.0574234
account	0.0573933
perception	0.0572895
clout	0.0572502
race	0.0572251
integrity	0.057127
income	0.057114
effect	0.0570683
theory	0.0570492
result	0.0570439
subject	0.0569995
level	0.0569788
purpose	0.0568582
opportunity	0.0568396
source	0.0566236
scene	0.0565783
insight	0.0565465
matter	0.0564668
course	0.0564583
profession	0.0564413
kind	0.056438
action	0.0564195
emotion	0.056382
photograph	0.05635
prowess	0.0562717
form	0.0562522
spirit	0.0561947
))
("background check" (desc 24309.8) (sims
"safety lock"	0.175863
testing	0.109219
check	0.107856
lock	0.104653
"medical examination"	0.104528
"medical exam"	0.098161
restriction	0.0978461
evaluation	0.0947655
inspection	0.0915122
fingerprinting	0.0907744
examination	0.0896405
"blood test"	0.0889587
registration	0.0883322
"safety measure"	0.0837187
ban	0.0835081
requirement	0.0831794
surveillance	0.0829173
screening	0.0822025
disclosure	0.0817055
Exam	0.080798
moratorium	0.0788206
enforcement	0.0780839
notification	0.0776712
license	0.0775018
audit	0.0770557
procedure	0.0769478
regulation	0.0763349
permit	0.0762103
licensing	0.0745511
scan	0.0741246
paperwork	0.0719441
oversight	0.0712406
supervision	0.0711225
scrutiny	0.0707996
certification	0.0696307
embargo	0.0684168
documentation	0.0681208
"gun control"	0.0675299
autopsy	0.0674364
"health check"	0.0671474
verification	0.0664058
analysis	0.0659637
safeguard	0.0659228
vaccination	0.0658853
quota	0.0657743
fee	0.0653005
provision	0.0652193
monitoring	0.0651338
"safety standard"	0.0650572
accountability	0.0649329
assessment	0.0644626
investigation	0.0640499
checkup	0.0639127
"training program"	0.0637588
mammograms	0.0637292
training	0.0637287
amendment	0.063379
immunization	0.0628188
counseling	0.0621434
prohibition	0.061943
physicals	0.0618159
punishment	0.0616326
authorization	0.0615981
biopsy	0.0615114
inquiry	0.0609052
appraisal	0.0608794
purchaser	0.0606789
"medical check-up"	0.0605731
identification	0.0604476
"education program"	0.0600027
"tax increase"	0.0598933
"fire drill"	0.0597588
financing	0.0597568
retraining	0.0594846
sanction	0.0592409
funding	0.0591807
overhaul	0.0590554
gun	0.0589839
protection	0.0589182
"pay raise"	0.0588247
dossier	0.0588131
"head count"	0.0585358
"income tax"	0.0584584
"death penalty"	0.0584481
legislation	0.0582423
"tax break"	0.0580333
penalty	0.0578553
reporting	0.0577372
compliance	0.0576932
interrogation	0.0573713
payment	0.0573206
mammogram	0.0573013
voucher	0.0572533
prosecution	0.0572454
handgun	0.0572166
MRI	0.0571722
record-keeping	0.0569346
"Community Reinvestment Act"	0.0569202
revision	0.056874
arbitration	0.0567452
education	0.0563303
consent	0.0561826
quarantine	0.0554404
medical	0.0552843
approval	0.0547092
"military service"	0.0545987
taxation	0.054438
homework	0.0544169
referendum	0.054049
debriefing	0.0539599
qualification	0.0539001
waiver	0.0538117
firearm	0.0537476
maintenance	0.0537228
guideline	0.0535906
removal	0.0533894
database	0.053276
accreditation	0.0530421
visa	0.0529215
incentive	0.0528743
transparency	0.0528536
x-ray	0.0528364
"health insurance"	0.052656
curfew	0.0525849
disarmament	0.0521889
coverage	0.0521545
certificate	0.0521497
"minimum wage"	0.052136
"sales tax"	0.0521187
"medical checkup"	0.0520901
transaction	0.0520539
abortion	0.051895
electrocardiogram	0.0518123
ID	0.0516605
probe	0.0516045
censorship	0.0515213
modification	0.0515159
insurance	0.0514081
"surgical procedure"	0.0512463
"time limit"	0.0511835
databank	0.0511146
accounting	0.0510768
reduction	0.0510124
adjustment	0.0509331
"price control"	0.0508663
amnesty	0.0508473
Privacy	0.0508471
discipline	0.0505266
application	0.0502947
remedy	0.0502192
"Bill of Rights"	0.0499281
planning	0.0498846
"quality control"	0.049779
rehabilitation	0.0496675
"capital punishment"	0.0496523
recruitment	0.0496508
consultation	0.0495975
cutback	0.0495587
diligence	0.0494879
"tax credit"	0.049374
deployment	0.0492448
restraint	0.0491393
wiretap	0.0487851
withdrawal	0.0487806
device	0.0487793
"spending cut"	0.0486901
lifting	0.0485576
"prison sentence"	0.0484145
questioning	0.048296
modernization	0.048227
"health care"	0.0481854
mammography	0.0481104
"security measures"	0.0479547
loophole	0.047794
schooling	0.0477698
"Proposition @@"	0.0476667
therapy	0.0473284
forfeiture	0.0472417
renewal	0.0472242
coordination	0.0472101
arrangement	0.0468669
Limitation	0.0468057
hiring	0.046778
separation	0.0467007
self-examination	0.0466919
"social service"	0.0462354
signature	0.0461061
clearance	0.0460289
mandate	0.0460096
fingerprint	0.0459135
citizenship	0.0458787
compensation	0.0458224
tracing	0.0457872
"rehabilitation program"	0.0457766
preparation	0.0456302
subsidy	0.0456274
repeal	0.0455292
suspension	0.0454049
excavation	0.0453366
self-regulation	0.0451722
))
("background noise" (desc 1537.9) (sims
guesswork	0.0951167
"fig leaf"	0.0863407
"sour grapes"	0.0856757
"popularity contest"	0.0834667
"guessing game"	0.0737525
"hunting ground"	0.0707783
"window dressing"	0.0680984
"breathing room"	0.0679509
"God's Will"	0.0675542
"hot potato"	0.0673493
"elbow room"	0.0664016
expedient	0.0662454
"waiting game"	0.0660228
"smoke screen"	0.0648023
copout	0.0645195
"numbers game"	0.0641599
impurity	0.063493
"foot traffic"	0.0628585
commotion	0.0616292
hand-holding	0.0611735
downtime	0.0604959
palliative	0.0604126
goofiness	0.0602467
"positive feedback"	0.0593014
harder	0.0591192
"white elephant"	0.0590022
guidepost	0.0580438
functionality	0.0574974
trash-talking	0.0572507
"police state"	0.056971
conjecture	0.0565569
give-and-take	0.0564168
subplot	0.0563992
"social activity"	0.0558634
"breathing space"	0.0557583
"quid pro quo"	0.0555833
mimicry	0.0551101
"minority shareholder"	0.0550812
overstatement	0.0550645
crapshoot	0.054991
up-and-down	0.0548177
"pain in the neck"	0.0545182
"rallying point"	0.0545107
"slush fund"	0.0542359
subtext	0.0541817
"wear and tear"	0.0533153
heckler	0.0533143
sidelight	0.0530285
"natural ability"	0.0529379
"test case"	0.052911
lovefest	0.052723
heartening	0.052721
hearsay	0.0525406
blather	0.0522206
"guardian angel"	0.0521832
"trial and error"	0.0521322
"point of reference"	0.0518606
variability	0.0514813
"warning signal"	0.0514428
interlude	0.0514418
verbiage	0.0513485
ballgames	0.0513116
microcosm	0.0512299
"camera angle"	0.0511903
trickery	0.0509797
"sitting duck"	0.0509438
ribbing	0.0508492
"damage control"	0.0508209
theatrics	0.0508048
horseplay	0.0506289
risk-taking	0.0504894
subterfuge	0.0504582
"loud noise"	0.0501628
hoopla	0.0495977
Triptych	0.0495644
non-issue	0.0494341
"fringe benefit"	0.0493818
tidbit	0.0491384
intangible	0.0491011
duplication	0.0490679
hyperbole	0.0490563
"civic pride"	0.0490242
caprice	0.0489752
playlist	0.048879
"market correction"	0.0487897
rationalization	0.048695
nonevent	0.0486792
underpinnings	0.0484556
"social event"	0.048293
emulator	0.048265
win-win	0.0482567
disincentive	0.0481782
slippage	0.0478841
adrenalin	0.0477727
happenstance	0.0477666
"vicious cycle"	0.0477214
"piece of music"	0.047536
"sounding board"	0.047497
"dress rehearsal"	0.0473209
"written material"	0.047208
discouragement	0.0471956
"standard operating procedure"	0.0469829
foolishness	0.0464393
trivia	0.0463954
corroboration	0.0463203
cross-fertilization	0.0463133
trespasser	0.0462872
"free time"	0.0461505
band-aid	0.046131
testosterone	0.0461253
"sound effect"	0.0459719
"Good Book"	0.0459337
"solid ground"	0.0458353
"economies of scale"	0.0458207
"five billion yuan"	0.0458041
catharsis	0.045798
appendage	0.0457961
"sonic boom"	0.0457506
sideshow	0.0457501
protectorate	0.0455266
Truism	0.0454546
"cash cow"	0.0454538
customization	0.045421
homesickness	0.0453244
heckling	0.0453105
"tax benefit"	0.0451856
pimple	0.0451575
stimuli	0.045073
Pretender	0.044986
"rubber stamp"	0.0449735
"lip service"	0.0449624
extras	0.0448783
shenanigan	0.044877
travesty	0.0448167
flak	0.044793
redundancy	0.0446817
rumour	0.0446009
vicissitude	0.0444521
ballast	0.0444213
"crime wave"	0.0443491
"storage space"	0.0442991
misinformation	0.0442148
oomph	0.044188
"singing voice"	0.0440677
"creature comforts"	0.0439709
"bad luck"	0.0439212
silliness	0.0438538
contaminant	0.0438446
wipeout	0.0438138
"all clear"	0.0437259
celebs	0.0437181
free-for-all	0.0436976
socializing	0.0435727
charade	0.0435659
negativity	0.0435647
telemarketer	0.0435365
sinkhole	0.0434994
"water vapor"	0.0434562
"more than @@.@ billion yuan"	0.0433529
"electronic database"	0.0433414
tannin	0.0433179
escapism	0.0432991
"car horn"	0.0431712
alarmist	0.0430809
"end user"	0.0430555
no-brainer	0.0430281
multi	0.0429869
karma	0.0429703
draught	0.0429683
catcall	0.0428919
boosterism	0.0428532
"public knowledge"	0.0427543
"table of contents"	0.0427067
"stage set"	0.0426791
"one billion US dollars"	0.0426714
levity	0.042668
"airplane ticket"	0.0426067
"gold standard"	0.0426015
ventilation	0.04259
generality	0.0425711
"ball game"	0.0424722
sustenance	0.0424465
paradox	0.0423881
"air bubble"	0.0423242
ifs	0.0422715
gamesmanship	0.0422555
"Cliffs Notes"	0.0422209
speck	0.042218
eyesore	0.0422008
dopamine	0.0421171
validation	0.042089
bombshell	0.0420558
subculture	0.0420507
pandemonium	0.0420319
baloney	0.0419151
quandary	0.0419008
cudgel	0.0418849
ambiguity	0.0418844
socialization	0.0418714
drumming	0.0418636
))
(backhand (desc 16562.8) (sims
forehand	0.325263
volley	0.192006
"passing shot"	0.179327
groundstrokes	0.174944
"ground stroke"	0.174674
lob	0.134044
double-faulted	0.11255
"drop shot"	0.111747
header	0.105453
ace	0.0939839
backhander	0.0912193
"free kick"	0.090405
shot	0.0897551
serf	0.0897099
one-timer	0.0877787
crosscourt	0.0850415
"line drive"	0.0766349
slapper	0.0760342
"approach shot"	0.0752165
puck	0.072197
changeup	0.0716317
fastball	0.0653847
"jump shot"	0.0649476
"foul ball"	0.0642036
"service break"	0.0637174
curveball	0.0628408
deflection	0.061326
slider	0.0610304
layup	0.0608841
"fly ball"	0.0606507
dunk	0.0603518
"chip shot"	0.0601713
grounder	0.059314
"free throw"	0.0573698
footwork	0.0573089
jumper	0.0571272
"breaking ball"	0.0569766
bunt	0.0568492
uppercut	0.0563456
"field goal"	0.0563422
tip-in	0.0559691
"fifth homer"	0.0547287
putter	0.0541965
liner	0.0517977
"match point"	0.0517822
"first homer"	0.0517328
overhead	0.0505758
one-hopper	0.0502676
two-run	0.0499651
punt	0.0493937
wrister	0.0487879
putt	0.0487595
"three @-pointers"	0.0478239
"ground ball"	0.0476794
"second homer"	0.0473369
pickoff	0.0470873
"four homers"	0.0469065
"corner kick"	0.0466854
baseline	0.046662
"set point"	0.0463436
equaliser	0.045903
"bank shot"	0.0453112
floater	0.0442393
equalizer	0.0442242
"home run"	0.0440624
"grand slam"	0.0432445
"power play"	0.0428964
"solo homer"	0.0425971
"hook shot"	0.0425534
two-out	0.0425262
layups	0.0424139
"tennis ball"	0.042299
"third homer"	0.0419942
"golf ball"	0.0419739
"right hand"	0.0418279
Trey	0.0415723
sinker	0.0412869
"two homers"	0.0411633
breakaway	0.0410563
racket	0.0406366
"five homers"	0.040617
three-pointer	0.0406017
change-up	0.0405629
interception	0.040489
reflex	0.0403032
"base hit"	0.0402942
"two @-pointers"	0.0402552
"pop fly"	0.0402112
))
(backhander (desc 2364.84) (sims
one-timer	0.288832
wrister	0.19405
deflection	0.14852
slapper	0.14556
Brodeur	0.142802
breakaway	0.106236
Kolzig	0.105582
header	0.103858
tip-in	0.102535
puck	0.101346
"free kick"	0.0933472
backhand	0.0912193
layup	0.0911704
"power play"	0.0888585
Salo	0.085784
three-pointer	0.0818535
fourth-and-@@	0.0814971
"corner kick"	0.0807604
putback	0.0805698
game-winner	0.079869
Belfour	0.0776968
"chip shot"	0.0749047
wraparound	0.0738924
third-and-@	0.073117
jumper	0.0718661
"Byron Dafoe"	0.0711305
Dafoe	0.0684818
crease	0.0676416
tap-in	0.064521
volley	0.0636662
"screen pass"	0.0636005
Fiset	0.0635811
scoring	0.0634724
"another @-pointer"	0.0629234
"jump shot"	0.0596745
groundout	0.0585684
Trey	0.0578317
"gasoline bomb"	0.056582
"sacrifice fly"	0.0559891
equaliser	0.0559543
equalizer	0.05581
"slip of paper"	0.0543758
right-center	0.0536303
"bank shot"	0.0535515
groundouts	0.0528656
"wild pitch"	0.0528638
fourth-and-@	0.0518013
"foul shot"	0.0508789
layups	0.0500158
Counsell	0.0499493
"another @"	0.0494637
"Fredrik Olausson"	0.048561
"two fingers"	0.0485517
Vidro	0.0483752
Seizinger	0.0477845
Barrasso	0.0476166
"approach shot"	0.0473356
third-and-@@	0.0471724
"line drive"	0.0469354
screamer	0.0468569
forehand	0.0468141
"Kevin Stevens"	0.0466609
"dollar bill"	0.0465632
"running play"	0.0460805
Meares	0.0459541
"base hit"	0.0455736
"Guy Hebert"	0.0454886
Osuna	0.0452385
cannonball	0.0451246
Suker	0.0450222
Mabry	0.044909
ducking	0.0449051
Catalanotto	0.0448841
Burnitz	0.0442654
changeup	0.0442119
"two kilometers"	0.0441872
"three @-pointers"	0.0441801
roller	0.0441203
jut	0.0440546
Hoch	0.0438812
"pop fly"	0.0438457
"Bobby Higginson"	0.0436565
crossbar	0.0435734
Hollins	0.0434188
crosscourt	0.0432664
"Kevin Dyson"	0.0432591
"Tony Meola"	0.0432147
"ground ball"	0.0430443
"six kilometers"	0.0429839
weeknight	0.0427957
"Steve Shields"	0.0427785
"two @-pointers"	0.0427533
"fig leaf"	0.0425961
"Ante Razov"	0.0422339
Cowan	0.0420258
slider	0.0419136
Rolen	0.0418341
left-center	0.0418141
"Matt Luke"	0.0418074
one-out	0.0417194
"boarding pass"	0.0417155
"Hail Mary"	0.041667
Geiger	0.0415679
Sykora	0.04155
"third and @"	0.0414911
"Molotov cocktail"	0.0411703
Giambi	0.0410538
"fortune cookie"	0.0410132
"tennis ball"	0.0409569
"two cents"	0.0409085
"Mikhail Shtalenkov"	0.040803
floater	0.0405897
"Sean Berry"	0.0405872
"sand wedge"	0.0404799
Legace	0.0403963
"beach ball"	0.0403403
curveball	0.0401266
Jovanovic	0.0400761
Lieberthal	0.0400694
"passing shot"	0.0400346
feeler	0.0400243
))
(backhoe (desc 3772.09) (sims
excavator	0.270944
loader	0.212541
bulldozer	0.195252
"dump truck"	0.168441
forklifts	0.133583
jackhammer	0.126871
Crane	0.123492
shovel	0.104688
tractor	0.102662
chainsaw	0.100906
"chain saw"	0.0994407
forklift	0.0926048
pickax	0.0922214
snowplow	0.0895236
crowbar	0.0881004
"fire engine"	0.085014
"hand tool"	0.0813917
tricycle	0.0802726
rig	0.0786626
"fire truck"	0.0777905
"military vehicle"	0.0760758
harvester	0.0736102
digger	0.073105
"personnel carrier"	0.0707597
Auger	0.0690244
"landing craft"	0.0682708
submersible	0.0661405
Hoe	0.0659379
"jet engine"	0.0656387
"school bus"	0.065591
"power tool"	0.0650564
"moving van"	0.0636083
winch	0.0602918
"snow leopard"	0.0597833
wheelbarrow	0.0592912
"police dog"	0.0590071
tractor-trailers	0.0584296
"water pump"	0.057588
"lawn mower"	0.0567317
"service break"	0.0563009
hose	0.0562285
"wireless telephone"	0.0554066
jeep	0.0553135
pushcart	0.0549134
trowel	0.0548665
sprayer	0.0538216
"fire hose"	0.0536722
watercraft	0.0534785
tanker	0.0534448
hovercraft	0.0533301
"small boat"	0.0531411
generator	0.0530063
sled	0.0529976
"machine tool"	0.0528691
"Border collie"	0.0528505
scraper	0.0525429
motorboat	0.0511924
sundial	0.0511203
"army tank"	0.0510277
"pickup truck"	0.0504719
"printing press"	0.0504283
"rescue equipment"	0.0502411
propeller	0.0498411
photocopier	0.0492579
bullhorn	0.0492049
spade	0.0490861
"light touch"	0.0488888
"hard hat"	0.0488031
Sledgehammer	0.0486344
ax	0.0483717
tugboat	0.0483496
personalization	0.0483136
stork	0.0480078
"subway train"	0.047857
rickshaw	0.0476455
cellphone	0.0463739
steamroller	0.0463009
blower	0.0462713
"Volkswagen Beetle"	0.0461993
twister	0.0457988
pitchfork	0.0457837
Humvee	0.045547
"gas line"	0.0451904
"milk cow"	0.0448749
gull	0.0446603
"space heater"	0.0443503
"sewing machine"	0.0438237
cultivator	0.0437301
bagpiper	0.0431475
"water cannon"	0.0430052
workmen	0.0428848
heron	0.0428471
"police car"	0.0428392
semitrailer	0.042787
sheeting	0.0424978
oxen	0.0423798
"squad car"	0.0423336
broom	0.0421109
gunboat	0.0420515
Humvees	0.0418464
"computer equipment"	0.0417842
machete	0.0415386
bloodhound	0.0414631
"bricks and mortar"	0.0414398
"Chevrolet Blazer"	0.0413058
minesweeper	0.0409454
"night vision"	0.0408325
tarantula	0.040832
"golden eagle"	0.0408179
Webcam	0.0407187
"German shepherd"	0.0404857
soapbox	0.0404842
Cruiser	0.0403832
jeepney	0.040312
hauler	0.0402237
"test equipment"	0.0401211
shredder	0.0400928
mover	0.0400765
))
(backing (desc 70836.1) (sims
support	0.210543
endorsement	0.157808
approval	0.117891
help	0.109761
opposition	0.103482
funding	0.0987921
commitment	0.0965972
financing	0.0961665
assistance	0.0960795
participation	0.091921
authorization	0.086073
vote	0.0849349
clout	0.0826983
guarantee	0.0824139
attention	0.0821347
blessing	0.0815145
mandate	0.0809231
encouragement	0.0806267
criticism	0.0796523
proposal	0.07936
willingness	0.0793209
"financial aid"	0.0792239
money	0.0789108
determination	0.0787264
contribution	0.0786879
acceptance	0.0786577
involvement	0.078537
pledge	0.0782213
praise	0.0781219
assurance	0.0780948
consent	0.0760118
ally	0.075722
objection	0.0752097
recognition	0.0750212
leadership	0.0749294
rejection	0.0747501
input	0.0746938
resolve	0.07431
sympathy	0.0740648
enthusiasm	0.0740296
concession	0.0736897
aid	0.0732862
effort	0.0725736
pressure	0.0724283
consensus	0.0723315
response	0.0721475
donation	0.0721059
reluctance	0.0720038
credibility	0.0719502
confidence	0.071227
resistance	0.0706377
representation	0.0695537
turnout	0.0693286
reaction	0.0691733
cooperation	0.0686659
backer	0.0686201
initiative	0.0684091
expertise	0.0680411
intervention	0.0677377
majority	0.0674491
resource	0.0673173
supporter	0.0671177
influence	0.0669932
request	0.0669364
respect	0.0668777
strength	0.0668751
decision	0.0667834
stance	0.0667794
interest	0.0666883
justification	0.0663566
loyalty	0.0662482
fund	0.0658523
power	0.0656021
advice	0.0653377
desire	0.0653216
leverage	0.0653082
condemnation	0.0652387
demand	0.0649353
presence	0.0649079
ability	0.0648587
permission	0.0647327
investment	0.0646193
defection	0.0645737
intention	0.064564
planning	0.0644092
momentum	0.0643852
recommendation	0.0641961
acquiescence	0.0637875
promise	0.0637601
readiness	0.0632443
role	0.0632179
success	0.0630463
credit	0.062897
guidance	0.062767
policy	0.0626615
action	0.0625571
boost	0.0624905
flexibility	0.0619545
invitation	0.0613886
nomination	0.0611539
strategy	0.0610951
solidarity	0.0608821
legitimacy	0.0608669
incentive	0.0606487
membership	0.060644
wish	0.0603761
rationale	0.0599757
agenda	0.0594884
position	0.0594583
statement	0.0593586
unity	0.0593489
capability	0.0593156
hope	0.0591631
impetus	0.0590676
understanding	0.0588758
knowledge	0.0586842
concern	0.0586671
veto	0.058545
subsidy	0.0585241
refusal	0.0581657
member	0.0581401
favor	0.058092
prestige	0.0579373
credential	0.0578075
signature	0.0576881
appeal	0.0576248
popularity	0.0574949
representative	0.0574515
aim	0.0574369
view	0.0574162
opinion	0.0572171
skepticism	0.0570395
authority	0.0569596
Coalition	0.056956
reform	0.0569537
warning	0.0567406
agreement	0.056717
priority	0.0562931
apology	0.0558692
appreciation	0.05584
access	0.0558399
infusion	0.0558251
patience	0.0557776
approach	0.0557641
measure	0.055549
challenge	0.0555319
awareness	0.0553041
attitude	0.055275
ire	0.0552672
plea	0.0552371
insistence	0.0551885
mediation	0.0550921
accountability	0.0549965
protection	0.0544871
oversight	0.0544779
resignation	0.0543332
prospect	0.0543231
leader	0.0543199
"good will"	0.0540999
emphasis	0.0540988
framework	0.0540317
campaign	0.0539176
advantage	0.0538717
publicity	0.0538554
timetable	0.0538037
"tax break"	0.0536995
comment	0.0536239
cash	0.0533615
responsibility	0.0533302
preparation	0.0531808
"green light"	0.0531756
candidacy	0.0530654
sponsorship	0.0530648
allocation	0.0529565
delegation	0.0528667
retaliation	0.0528517
victory	0.052831
preference	0.052759
withdrawal	0.0526513
sincerity	0.0525782
government	0.0525257
reputation	0.0524519
go-ahead	0.052409
potential	0.0523813
sentiment	0.0522325
payment	0.0521913
trust	0.0521818
clamor	0.0521675
explanation	0.0521168
setback	0.0519387
advocacy	0.0519295
message	0.0518986
reelection	0.0516823
partner	0.0516279
tactic	0.0515702
showing	0.0515367
opportunity	0.0514448
resolution	0.0514287
aspiration	0.0513211
wealth	0.0512689
))
(backlash (desc 34789.9) (sims
outcry	0.154156
reaction	0.13035
fallout	0.125371
protest	0.120471
unrest	0.116794
resentment	0.113686
criticism	0.110509
instability	0.107644
outrage	0.101878
repercussion	0.101095
uproar	0.100406
retaliation	0.100026
slowdown	0.099982
sentiment	0.0995245
resistance	0.0988645
pressure	0.0975966
revolt	0.0975728
discontent	0.0971588
disruption	0.0964599
anger	0.0946725
reprisal	0.0940878
furor	0.0938781
violence	0.0934525
uncertainty	0.0933238
downturn	0.0919347
turmoil	0.0918952
escalation	0.0913638
confusion	0.0910573
firestorm	0.0903011
groundswell	0.089773
hostility	0.0890141
flare-up	0.0888548
retribution	0.088845
turbulence	0.0888336
deterioration	0.0887891
outpouring	0.0882106
anxiety	0.0870505
turnout	0.0867607
controversy	0.0866379
panic	0.0862762
attack	0.0856589
unease	0.0846515
rebellion	0.0844425
catastrophe	0.0839686
consequence	0.0835776
tension	0.0831493
upheaval	0.083139
outbreak	0.0828914
chaos	0.0819567
meltdown	0.0816723
volatility	0.0816347
recession	0.0815046
surge	0.0813551
condemnation	0.0810151
response	0.0806248
prejudice	0.0800371
skepticism	0.0796546
shift	0.0792094
shakeout	0.0790104
impact	0.0785422
opposition	0.0782604
shortage	0.0779276
objection	0.0777617
harassment	0.0775133
disturbance	0.0775018
influx	0.0772482
hardship	0.0764802
frustration	0.0764455
resurgence	0.0761527
weakness	0.075803
defection	0.0754872
rejection	0.0754034
"New Wave"	0.0753431
disaster	0.0753357
Wrath	0.0753167
friction	0.0752982
clamor	0.074921
onslaught	0.074848
harm	0.0746568
challenge	0.0746097
epidemic	0.0744392
outburst	0.0743907
apathy	0.0743395
crunch	0.0739889
uneasiness	0.0739549
frenzy	0.0738401
deflation	0.0734417
confrontation	0.0733787
lawsuit	0.0731866
"price war"	0.0731484
sell-off	0.0726093
famine	0.0724515
upsurge	0.0722539
trouble	0.0722432
fear	0.0721591
embarrassment	0.0721226
disappointment	0.071962
dissent	0.0718205
crisis	0.0717778
boycott	0.071748
indignation	0.0716666
exodus	0.071465
threat	0.0713211
trend	0.0712363
crises	0.0711192
bias	0.0710245
eruption	0.0709765
collapse	0.0709432
speculation	0.0707901
setback	0.0707332
breakdown	0.0705308
flood	0.0704571
crackdown	0.0704382
erosion	0.0703836
"arms race"	0.07026
demonstration	0.0702585
wave	0.0698788
perception	0.0697906
hatred	0.0695438
complaint	0.0693834
bitterness	0.0693662
devaluation	0.0693302
insecurity	0.0692825
misunderstanding	0.0692089
discomfort	0.0691932
calamity	0.0690966
rioting	0.0690406
recrimination	0.0689189
dissatisfaction	0.0684767
rift	0.0684539
riot	0.0684426
rage	0.0683983
fury	0.0681977
publicity	0.0681559
strife	0.0677228
hysteria	0.0675697
shock	0.0674919
leak	0.0673896
danger	0.0673675
tendency	0.0672811
glut	0.0670761
insurrection	0.0670645
conflict	0.0670412
cutback	0.067039
discrimination	0.0669507
uprising	0.0668923
inflation	0.066824
"legal action"	0.066689
"health problem"	0.0665457
distrust	0.0662822
slump	0.0662115
storm	0.0661293
selloff	0.0658929
disaffection	0.0658535
complacency	0.0656236
difficulty	0.0653368
rhetoric	0.0652675
feud	0.065044
glitch	0.0648257
attention	0.0648222
animosity	0.064775
reluctance	0.064742
gridlock	0.0646817
struggle	0.0646644
"market correction"	0.0646408
thaw	0.0646194
exposure	0.064436
distraction	0.0643986
"economic crisis"	0.064212
alienation	0.064208
reversal	0.0641707
fervor	0.0641178
suspicion	0.0641172
manipulation	0.0640969
intimidation	0.0640643
letdown	0.0639072
woe	0.0638904
damage	0.0637495
consolidation	0.0637069
explosion	0.0635568
nervousness	0.0634767
scrutiny	0.0633077
enthusiasm	0.0631551
assault	0.0631508
"brain drain"	0.0630738
boom	0.0630214
phenomenon	0.0629752
feeling	0.0628685
"rate increase"	0.0628525
split	0.062777
tirade	0.0626608
divisiveness	0.0626291
apprehension	0.0626236
stampede	0.0625696
jealousy	0.0625461
bloodshed	0.0624284
"side effect"	0.0623806
effect	0.0623574
movement	0.0623409
terrorism	0.0621762
))
(backlog (desc 13864.2) (sims
caseload	0.121208
glut	0.117071
"debt load"	0.102575
stockpile	0.101915
"budget deficit"	0.0995868
inventory	0.0991781
shortfall	0.0965534
workload	0.0942082
caseloads	0.0936751
imbalance	0.0925695
congestion	0.090962
"trade deficit"	0.0897859
oversupply	0.0887301
"elephant population"	0.0875428
deficit	0.0835181
bottleneck	0.0830883
"liquidity problem"	0.0810816
"trade surplus"	0.0804489
joblessness	0.0800527
"cost overrun"	0.0791228
shortage	0.079087
burden	0.0789315
"operating cost"	0.0784007
crunch	0.0773384
"bank rate"	0.0769934
disparity	0.0765562
debt	0.0763709
unemployment	0.0762845
"poverty rate"	0.0757257
"bad debt"	0.075262
"price pressure"	0.074994
"financial loss"	0.0749339
gridlock	0.0746613
arrears	0.0744961
deluge	0.0738845
"rate of growth"	0.0738564
logjam	0.0725168
ridership	0.0716507
"production cost"	0.0707834
outflow	0.0697881
outlay	0.0693169
overcapacity	0.0693169
"unemployment rate"	0.0691368
"market value"	0.0688739
workforce	0.068822
"cash crunch"	0.0686262
"traffic jam"	0.0685332
inflow	0.0684388
capitalization	0.0683738
surplus	0.0681712
payout	0.0681503
accumulation	0.0679487
"crime rate"	0.0679302
discrepancy	0.067898
influx	0.0677865
mortality	0.0672462
inequality	0.0670446
"defense budget"	0.0668966
PRICETAG	0.0667764
overhang	0.0667352
volume	0.0664276
"waiting list"	0.0663904
"work force"	0.0662599
"air pollution"	0.0661818
"labor cost"	0.0658966
incidence	0.0657111
readership	0.0656491
"red tape"	0.0656131
"operating expenses"	0.0653224
"operating budget"	0.0647
"net income"	0.0646535
scarcity	0.0645597
fibroids	0.0644757
amount	0.063862
enrollment	0.0635557
"production problem"	0.0633543
"vehicle sale"	0.0633389
disruption	0.0631501
payroll	0.0630277
"purchase price"	0.0630264
"market share"	0.0629704
"labor force"	0.0624211
"selling price"	0.0620672
stack	0.0620337
hassle	0.0618906
"profit margin"	0.0618143
receipt	0.0617557
inefficiency	0.0616012
"debt problem"	0.0615915
viewership	0.0615372
"price tag"	0.0615051
"life expectancy"	0.0610878
NPLs	0.0607302
confusion	0.0605109
gap	0.06047
difficulty	0.0604571
uncertainty	0.0603741
slowdown	0.0603644
"capital expenditure"	0.0602577
write-off	0.0602452
layoff	0.0600458
breakdown	0.0599068
"truck sale"	0.0597564
"war chest"	0.0596031
validity	0.0595777
"inflation rate"	0.0594969
proportion	0.0593393
"voter turnout"	0.059236
expenditure	0.059131
expense	0.0589952
glitch	0.0586462
volatility	0.05864
"consumer demand"	0.0585521
liability	0.0585486
"insurance premium"	0.0584857
endowment	0.0583856
"export sale"	0.0583035
rejection	0.0581738
cancellation	0.0581498
"mortgage rate"	0.0581282
"tax liability"	0.0579013
"cost structure"	0.0578493
"tax bill"	0.0577891
Tonnage	0.0577651
hardship	0.0576313
docket	0.057511
"marketing cost"	0.0574147
deficiency	0.0574008
"nest egg"	0.057029
acreage	0.0569948
overload	0.056943
"tax revenue"	0.0568135
"pretax profit"	0.0567671
savings	0.0566971
"steel production"	0.0566956
cutback	0.056657
resale	0.0565901
"fertility rate"	0.0565538
inconvenience	0.0564743
misperception	0.0563146
shipment	0.0562668
rigidity	0.0561923
falloff	0.0558846
shutdown	0.0557721
circulation	0.0557368
turnout	0.0556304
valuation	0.0555692
leakage	0.0555588
"investment portfolio"	0.0555517
"production capacity"	0.0555183
CPI	0.0554812
upsurge	0.0554553
instability	0.0554216
"gas price"	0.0553582
vacancy	0.0552454
density	0.0552256
"mortality rate"	0.0552183
throughput	0.0551306
misunderstanding	0.0549089
paperwork	0.0548189
"borrowing cost"	0.0547854
output	0.0545397
margin	0.054533
prevalence	0.0545107
inflation	0.0544756
erosion	0.0543837
"death rate"	0.0542513
"price index"	0.0542412
write-down	0.0541677
"gross national product"	0.0540853
"birth rate"	0.0539731
"bond offering"	0.0538947
"rate of inflation"	0.0538599
outages	0.0537928
Problems	0.0536781
pileup	0.0536521
duplication	0.0536314
"tax income"	0.053548
"retail sale"	0.0535153
"oil price"	0.0535132
overvaluation	0.0534366
"medicare payment"	0.0533938
smog	0.0532299
traffic	0.0531393
issuance	0.0531182
"debt service"	0.05306
deterioration	0.0530594
"earning per share"	0.0530139
anxiety	0.0529864
delinquency	0.0528548
chaos	0.0528154
toll	0.0528052
fatality	0.0527045
pollution	0.0526661
exodus	0.0523699
productivity	0.052284
"acid rain"	0.0522156
attendance	0.0521635
depletion	0.0518788
"debt payment"	0.0518099
))
(backpack (desc 22599.6) (sims
briefcase	0.183503
suitcase	0.167368
bag	0.160617
knapsack	0.140932
"duffel bag"	0.13956
handbag	0.131409
luggage	0.119357
"book bag"	0.118617
"shopping bag"	0.113476
shoe	0.111481
pant	0.108516
jacket	0.108141
purse	0.108028
pouch	0.106263
wallet	0.106153
sock	0.0980423
windbreaker	0.0973262
boot	0.0970623
cloth	0.0953902
satchel	0.0950417
box	0.0941671
pocketbook	0.092896
parka	0.0927673
"tote bag"	0.091636
coat	0.0915414
shirt	0.0912821
tote	0.0912
hat	0.0908962
sack	0.0907252
sweatshirt	0.0906548
"golf bag"	0.0901931
pocket	0.0901071
vest	0.0899301
mattress	0.0897037
"sweat pants"	0.0896797
drawer	0.0881158
"paper bag"	0.0878571
cooler	0.0873986
sunglasses	0.0872337
raincoat	0.0871504
sandal	0.0870973
T-shirt	0.0866684
crate	0.0862024
sweater	0.0860853
container	0.0858949
scarf	0.0857875
Clothing	0.0849124
trunk	0.0848678
trouser	0.0845871
belt	0.083848
"blue jean"	0.0819171
beret	0.0818776
"sleeping bag"	0.0814756
glove	0.081252
binder	0.0796393
shawl	0.0794794
"tennis shoe"	0.0788272
"shopping cart"	0.078148
helmet	0.0780241
baggage	0.0774523
blanket	0.0773105
"leather jacket"	0.0769463
sneaker	0.0768701
waistband	0.0766915
bucket	0.0766624
"baseball cap"	0.07656
locker	0.0761008
"glove compartment"	0.0747367
jean	0.0746093
bottle	0.0729561
skirt	0.0726557
underwear	0.0723829
overcoat	0.0722962
compartment	0.0721956
"laptop computer"	0.072148
harness	0.0719591
folder	0.071958
notebook	0.0719523
"water bottle"	0.0718388
Bin	0.0715281
"garbage can"	0.0713665
toy	0.0712835
envelope	0.0712612
stocking	0.0708968
dress	0.0708311
pillow	0.070644
Poncho	0.0705234
jewelry	0.070412
pullover	0.0699214
collar	0.0697485
bandanna	0.0687385
belonging	0.0682116
"cowboy hat"	0.0671041
uniform	0.0670341
doll	0.0668687
sleeve	0.066645
gear	0.0666201
holster	0.0665361
tray	0.0662632
"running shoe"	0.0662561
"life jacket"	0.0658046
loafer	0.0655454
accessory	0.0653147
stroller	0.0651359
slipper	0.0649132
bedding	0.06445
visor	0.0642752
"car seat"	0.0641642
"polo shirt"	0.0641337
"trash can"	0.064089
"grocery bag"	0.0638394
legging	0.0634477
diaper	0.0631946
"file cabinet"	0.0626865
rifle	0.0625342
tank	0.0625222
jar	0.0623573
mailbox	0.0623294
"golf club"	0.0623132
earring	0.0622922
necktie	0.0621968
freezer	0.0620807
suit	0.0620545
camera	0.0620045
turtleneck	0.0616299
tent	0.0616062
flashlight	0.061592
wristband	0.0614081
pail	0.0613467
jumpsuit	0.0612655
glass	0.0611777
laptop	0.0611046
truck	0.0608071
closet	0.0605837
"bathing suit"	0.0599993
jersey	0.0599676
wristwatch	0.0598941
carton	0.0597908
Thong	0.0597037
headband	0.0596697
mitten	0.059598
"bow tie"	0.0593688
jug	0.0593387
"coffee mug"	0.0592229
eyeglass	0.0590155
waistcoat	0.0589675
pot	0.0589277
"lawn chair"	0.0588833
bra	0.0586811
suspender	0.058644
tights	0.0584867
pistol	0.0579688
hose	0.0579257
canister	0.0578757
"cargo container"	0.0576367
"tape recorder"	0.0575941
bandana	0.0575853
shotgun	0.0573006
bundle	0.0571075
bicycle	0.0570564
towel	0.056968
knickers	0.0567353
"automatic rifle"	0.0565879
packet	0.056296
sheeting	0.0561609
mask	0.056081
casing	0.0560661
kit	0.0558519
wheelbarrow	0.0558462
necklace	0.0557986
spacesuit	0.0556604
pen	0.0556182
khaki	0.055611
clipboard	0.0556015
tunic	0.0555653
apron	0.0555085
frame	0.0554155
trailer	0.0554117
"dark glasses"	0.0553662
cellphone	0.0552604
tarpaulin	0.0550358
cot	0.054991
"top hat"	0.0549712
parcel	0.0549361
coverall	0.054782
paintbrush	0.0547285
furniture	0.0546823
pajama	0.05465
vial	0.0546316
"fountain pen"	0.0546008
plastic	0.0544815
lantern	0.0543986
quilt	0.0543975
"body bag"	0.0540944
pad	0.0540366
leather	0.0538203
"teddy bear"	0.0537837
goggles	0.053752
sheet	0.0537212
bracelet	0.0536862
))
(backpacker (desc 1391.79) (sims
careerist	0.0877901
"army engineer"	0.0759269
backpackers	0.0741413
"house painter"	0.0671
snowboarder	0.0655539
"scuba diver"	0.065505
"security consultant"	0.0631787
infantrymen	0.0631687
policewoman	0.0624185
beekeeper	0.0615073
thespian	0.0607988
adventurer	0.0600531
"shot putter"	0.0576441
lulu	0.0574163
oilman	0.055874
"sea captain"	0.0557828
"Cincinnati Enquirer"	0.0556433
bloke	0.0552874
astrologer	0.0548916
documentarian	0.0542501
"exotic dancer"	0.053167
"Brad Friedel"	0.0520427
infantryman	0.0515261
landscaper	0.051127
serviceman	0.0510571
cager	0.050665
airman	0.0504542
Highness	0.0504492
barrister	0.0494626
"school girl"	0.0490032
Cosmo	0.0487858
Nanula	0.0486733
"hockey player"	0.0486465
"Julius Francis"	0.0481814
ensign	0.0480038
colonist	0.0479674
"art dealer"	0.047938
"bon vivant"	0.0478474
"insurance agent"	0.0478249
Latina	0.0477297
stuntman	0.0477203
"Michael Portillo"	0.0474303
protectorate	0.0470458
pugilist	0.0468782
"art student"	0.0465858
ex-Marine	0.0465401
gunslinger	0.046369
hawker	0.0462943
"certified public accountant"	0.0462556
schoolboy	0.0460952
"little leaguer"	0.0460645
Atlantan	0.0460314
"au pair"	0.0460124
"Viacom Inc."	0.0458627
"fashion designer"	0.0458143
balloonist	0.0456926
Carlson	0.0453785
speller	0.0453774
sightseer	0.0453728
"apparel industry"	0.0451223
seafarer	0.0451219
"black person"	0.044944
Redbook	0.0448934
Kurd	0.0445796
knighthood	0.0445295
"military mission"	0.0442794
student-athlete	0.0442286
"disc jockey"	0.044015
megastar	0.0439323
experimenter	0.0438837
"interior decorator"	0.0438733
"newspaper publisher"	0.0437612
Ana	0.0437258
bullfighter	0.0435462
yachtsman	0.0435341
Minnesotan	0.0432591
alacrity	0.043222
emulator	0.0430103
motoring	0.0429838
swindler	0.0429618
"Consumer Reports"	0.0429353
oddsmakers	0.0429009
"Over two million"	0.0427082
musicologist	0.0426571
"Cendant Corp."	0.0426508
"mechanical engineer"	0.0425455
"naval officer"	0.0424697
"staff sergeant"	0.0424459
"maritime law"	0.0418758
divorcee	0.0418028
ebony	0.0415962
RV	0.0414867
thesaurus	0.0414851
mushers	0.0414029
wanderer	0.041391
lass	0.0412109
optometrist	0.0411159
"patrol ship"	0.0411082
updraft	0.0410576
"million yuan"	0.0408864
Soma	0.0408647
"great grandmother"	0.0407668
"hot potato"	0.0407566
bookkeeper	0.0406793
"Center for Science"	0.0405153
byte	0.0403829
Moscoso	0.0403459
"eight million"	0.0402783
Seaman	0.0402736
pharmacologist	0.0402637
"big leaguer"	0.0400157
vaulter	0.0400105
))
(backpackers (desc 3181.32) (sims
hiker	0.137028
boater	0.108449
holidaymaker	0.10507
vacationer	0.0962674
weekender	0.0873122
skydiver	0.0869696
"Kosovo Serbs"	0.0841518
camper	0.0808058
crewmembers	0.0807705
stargazer	0.0786082
birder	0.0781185
genealogist	0.0781063
traveler	0.0779506
snowmobilers	0.0756451
canoeist	0.0751997
backpacker	0.0741413
mainlanders	0.0738964
sightseer	0.0726684
"business traveler"	0.0725871
out-of-towners	0.0723141
"North Africans"	0.0721944
traveller	0.0717695
QBs	0.0715256
airmen	0.0710137
Ghanaians	0.0706936
bikers	0.0701805
Washingtonian	0.0691807
Muscovite	0.0691509
naturalist	0.0686395
concertgoers	0.0685333
Beijingers	0.0684795
climber	0.0665685
motorcyclists	0.0662261
Chinese-Americans	0.0660102
consortia	0.0657001
pilgrim	0.0655511
parachutist	0.0654227
Singaporean	0.0644707
expatriate	0.0643864
kayakers	0.0643554
"mountain climber"	0.0641738
balloonist	0.0640751
Fishermen	0.0639576
skier	0.0639235
twentysomethings	0.0638876
upperclassmen	0.0638592
taster	0.0632271
adventurer	0.0630478
"Albanian Kosovars"	0.06278
illegals	0.0625297
"school girl"	0.0624966
seeker	0.062034
adoptees	0.0618587
surfer	0.0615369
farmworkers	0.060857
Guatemalan	0.0606244
enumerators	0.0606205
Ukrainians	0.0604912
infantrymen	0.0604782
Navajos	0.0603457
Chicagoans	0.0600665
Parisian	0.0590477
angler	0.0590471
mountaineer	0.0582566
rower	0.0579969
"Orthodox Jews"	0.0579027
moviemakers	0.0578636
"college student"	0.0575656
"job seeker"	0.0574311
"North Koreans"	0.0573221
honeymooner	0.0571721
schoolchildren	0.057097
businesspeople	0.0565169
Athenian	0.0560915
Frenchmen	0.0560791
skateboarder	0.0560542
protestor	0.0558784
Englishwoman	0.0557038
seamen	0.05552
"South Koreans"	0.0554559
crewmates	0.0553574
migrant	0.0550869
"census taker"	0.0549918
Copt	0.0549502
"medical specialist"	0.0548471
paddler	0.0546876
commuter	0.0546774
suburbanite	0.0545648
learner	0.0545643
westerner	0.0544983
Ecuadoreans	0.0542671
duffer	0.0539227
Filipino	0.0537341
workmen	0.0537173
evacuee	0.0536204
Chinese-Indonesians	0.0532772
"Sri Lankans"	0.0531507
Irishmen	0.0530103
carmakers	0.0530071
armymen	0.0529852
stowaway	0.0529518
"jazz musician"	0.0529182
crewmen	0.0528361
Taiwanese	0.0525473
Honduran	0.0525469
Burundian	0.0525223
homebuyers	0.0524056
"coal miner"	0.0523631
mushers	0.052091
urbanites	0.051991
examinees	0.0519877
"economic expert"	0.0518738
moviegoer	0.0515836
Koreans	0.0513582
lawmen	0.051243
Cambodian	0.0508138
Englishmen	0.0507936
reveler	0.0507893
sportswriters	0.0506461
Moroccan	0.0506094
theatergoer	0.0505721
"university student"	0.0505254
craftsmen	0.0504945
Londoner	0.0503532
Hawaiians	0.0501322
fencer	0.0501167
deejays	0.0500612
sixth-graders	0.049948
Slovaks	0.0498749
Kat	0.0496502
aviator	0.049624
crewman	0.0494803
snowbird	0.0493195
"home buyer"	0.0492541
lawbreaker	0.0491681
emigrant	0.0491305
"white man"	0.0491019
worshiper	0.0490192
stone-throwers	0.0490171
"hockey coach"	0.0486396
herdsmen	0.0486093
shoplifter	0.0485693
"New Zealander"	0.0485189
neuron	0.0485099
miner	0.0484552
"young girl"	0.0482721
"crew member"	0.0481329
multinationals	0.048128
bicyclist	0.0480816
newlywed	0.0480641
"right whale"	0.0480183
partygoer	0.0478336
non-whites	0.0476217
goer	0.0475858
Taufik	0.0475419
Atlantans	0.0475395
poacher	0.047538
nonwhites	0.0474899
Macedonian	0.0474506
Nanula	0.0473237
Briton	0.0472418
outdoorsman	0.047199
diver	0.0470362
mercenary	0.0469922
logger	0.0469008
bloke	0.0467951
Jamaican	0.0466843
Cuban-Americans	0.0466691
"people of color"	0.0466593
B-@s	0.0465726
firemen	0.0464879
dieters	0.0464363
Layden	0.0464247
Haitian	0.0463849
servicemen	0.0463265
"financial organization"	0.046326
neo-Nazis	0.0462553
woodworker	0.0462474
tractor-trailers	0.0461945
enterpreneurs	0.046136
McMullen	0.0460661
foodies	0.0460297
grad	0.0459425
job-seekers	0.045763
Arab-Americans	0.0457442
filmgoers	0.0456922
skinhead	0.0455807
"temporary worker"	0.045564
Explorer	0.0454632
"black person"	0.0453994
roofer	0.0452473
marcher	0.0452394
planeloads	0.0451522
"Israeli Arabs"	0.0451508
trapper	0.045124
profiteer	0.0451177
"garment worker"	0.0449752
singleton	0.0449364
"game warden"	0.0449356
multimillionaires	0.0448701
))
(backroom (desc 3399.75) (sims
Behind-the-scenes	0.248826
high-stakes	0.126768
House-Senate	0.0930998
interagency	0.080454
oil-for-food	0.0782927
eleventh-hour	0.0766051
multimillion-dollar	0.0744078
"penny stock"	0.0733543
Israeli-Syrian	0.0731032
hardball	0.0724359
Palestinian-Israeli	0.0724267
"Northern Irish"	0.0696842
boardroom	0.0682082
multiyear	0.0673013
on-and-off	0.0640319
fast-track	0.0639499
one-to-one	0.0636804
FTAA	0.0628635
Israeli-Palestinian	0.0626065
Exxon-Mobil	0.0609607
"breaking off"	0.0603517
Arab-Israeli	0.0593343
Syrian-Israeli	0.0584665
after-hours	0.0577206
nuts-and-bolts	0.0568571
"Old Style"	0.0557622
final-status	0.0557516
U.S.-Russian	0.0548196
Israeli-Arab	0.0545693
U.S.-British	0.053046
forklift	0.0527631
barroom	0.0526985
compounding	0.0526413
riverboat	0.0524508
two-week	0.0523393
pregame	0.0522004
"pork barrel"	0.0513119
smoother	0.0512241
"tit for tat"	0.0508664
stealth	0.0502684
take-no-prisoners	0.0501548
U.S.-China	0.0501291
grassroot	0.0497854
Comsat	0.0496031
state-to-state	0.0491817
five-hour	0.0490617
postgame	0.0481313
one-hour	0.047855
blackjack	0.0476502
round-the-clock	0.0474851
"Agenda @@@@"	0.0474454
bare-bones	0.0470961
poker	0.046414
Balkan	0.0463507
XYLAN	0.0462379
Mideast	0.0459129
nuclear-weapons	0.0457485
nine-hour	0.0455513
FOMC	0.0449018
three-hour	0.0445258
Vina	0.0441598
seven-hour	0.0437079
longterm	0.0436715
four-hour	0.0430658
"face saving"	0.0429904
"back door"	0.04219
meth	0.0420248
backdoor	0.0420184
"back office"	0.041778
three-week	0.0417214
Multistate	0.0415206
"big time"	0.0413076
"START III"	0.041284
"round table"	0.041039
back-and-forth	0.0408745
"Sydney Olympic"	0.0405472
"Ulster Unionist"	0.0404235
Wilkins	0.040293
two-step	0.0401786
Russian-U.S.	0.0401243
))
(backseat (desc 4340.47) (sims
"up to eight"	0.0725895
snowplow	0.0665727
Hunley	0.0621605
jeepney	0.0580721
"up to six"	0.0553148
ferryboat	0.0473207
"lip service"	0.0466552
Muni	0.0456071
"second fiddle"	0.0441
Hands-off	0.0431941
Mini-bus	0.0428572
"more than @.@@ million"	0.0425447
wrecker	0.0405756
))
(backside (desc 9588.97) (sims
butt	0.0956755
ass	0.09066
midriff	0.0861039
posterior	0.0844912
buttock	0.0827875
"rear end"	0.0738811
derriere	0.0698852
belly	0.0678351
shin	0.0607914
chest	0.0588456
adrenalin	0.0569186
forehead	0.0553689
forearm	0.0533835
toenail	0.0515958
thigh	0.0510257
tummy	0.0507323
stomach	0.0504719
rump	0.0498626
breast	0.0495565
abdomen	0.0495064
wrist	0.0493549
behinds	0.0491832
navel	0.0485514
knuckle	0.0459284
crotch	0.0457029
waistline	0.0447407
"right hand"	0.0443986
waistband	0.0433646
"rib cage"	0.0430514
backstretch	0.0422879
torso	0.0404519
genital	0.0400016
))
(backsliding (desc 1452.8) (sims
slippage	0.11525
absolutes	0.112862
follow-through	0.108143
corroboration	0.100967
adulteration	0.0933557
overheating	0.0914012
letup	0.089754
unanimity	0.085815
laxity	0.0855431
stalling	0.0839414
malice	0.0838801
"European Convention"	0.0826492
breakage	0.0826024
"juvenile delinquency"	0.0784282
frostbite	0.0760728
"tooth decay"	0.0758855
skittishness	0.0753479
"written record"	0.0752307
dissension	0.0736271
slipup	0.0731191
"contagious disease"	0.0728589
hesitation	0.0725111
thawing	0.0724659
"ill will"	0.071806
hesitancy	0.0716574
foot-dragging	0.0710863
"sacred cow"	0.0710495
erosion	0.0708925
ifs	0.0707091
trampling	0.0704286
condensation	0.0697897
miscommunication	0.0697494
corrosion	0.0694464
rust	0.0689406
leakage	0.0686119
downsides	0.0683054
"double standard"	0.0678921
"fatal accident"	0.0673039
"wear and tear"	0.0671368
bullishness	0.067094
guesswork	0.0666748
"difference of opinion"	0.0665113
"secret plan"	0.0662741
mistaking	0.0661272
"foul play"	0.0660053
dropoff	0.0659071
rowdiness	0.0654419
relapse	0.0651567
dilution	0.0650618
recurrence	0.0650246
finger-pointing	0.0649243
groundswell	0.0643723
complacency	0.0643714
"written agreement"	0.0640466
chink	0.0639608
duplication	0.0630517
belt-tightening	0.062102
clotting	0.0620595
headway	0.0619015
isolationism	0.0618111
destabilization	0.061575
"engine failure"	0.0615003
shakeout	0.0613153
acrimony	0.0612211
brinksmanship	0.0606344
"hanky panky"	0.0605928
"policy change"	0.0602854
"quid pro quo"	0.0602481
"market correction"	0.0601529
happening	0.0598891
impairment	0.0595319
overexposure	0.0595307
bigness	0.0592039
misinterpretation	0.0591815
apathy	0.0590793
disunity	0.059058
"Iranian POWs"	0.0589866
overconfidence	0.058783
slackening	0.0584813
"fait accompli"	0.0582622
escalation	0.0578934
uptick	0.0575932
animus	0.0570746
upsurge	0.0570312
deflation	0.0569431
diminution	0.056879
encroachment	0.0566769
myopia	0.0565608
inkling	0.0565561
"direct evidence"	0.0564735
asymmetry	0.0564265
"communicable disease"	0.0561328
deceleration	0.0559953
Burnout	0.0556145
overreaction	0.0555098
"bad blood"	0.0553369
"animal disease"	0.0552714
favoritism	0.0551869
"wishful thinking"	0.0551705
snafu	0.0551391
marginalization	0.0550596
spillover	0.0550212
maneuvering	0.0544601
impropriety	0.054414
malfeasance	0.0539995
nervousness	0.0539103
turbulence	0.0531774
"time limit"	0.0531129
indigestion	0.0530674
wariness	0.0530282
rigging	0.0529352
recidivism	0.0528393
leniency	0.0526387
mildew	0.0525906
callousness	0.0525273
policymaker	0.0522658
Osteoporosis	0.052214
widening	0.0521612
"safety problem"	0.0521395
bombshell	0.0519915
self-examination	0.0518081
"price pressure"	0.0517472
"memory loss"	0.0517203
Ostracism	0.0516653
ambiguity	0.0516367
"bank withdrawal"	0.0516246
appeasement	0.0515224
"job cut"	0.0515208
downturns	0.0514901
tampering	0.0514197
"practical application"	0.0513301
"plant disease"	0.0512273
"price fluctuation"	0.0512069
"interest rate increase"	0.0509871
qualm	0.0509091
"acquired immune deficiency syndrome"	0.0507756
lesbianism	0.0507077
downslide	0.050702
spillage	0.0506925
easing	0.0506775
elaboration	0.0506675
insisting	0.050631
"blank check"	0.0505705
slowing	0.0505136
reprisal	0.0504636
rancor	0.050392
alteration	0.050391
hyperinflation	0.0503839
hiccup	0.050114
anomaly	0.0500797
"magic bullet"	0.0500609
discoloration	0.0500589
letdown	0.049923
flare-up	0.0499151
ambivalence	0.0498468
permissiveness	0.0498199
equivocation	0.0497956
trepidation	0.0497447
"rate rise"	0.049594
"damage control"	0.0495138
"second thought"	0.0494051
"Anthony Lewis"	0.0493956
electrocution	0.0493128
disaffection	0.0492671
hubris	0.0491592
toxicity	0.0491225
"loose end"	0.0491163
side-effects	0.0490274
inconsistency	0.0489367
vacillation	0.0488034
"maritime law"	0.0487258
inroad	0.0485029
inaction	0.0485006
conflagration	0.0484666
instructions	0.0484541
deviation	0.048434
upturn	0.0483177
squandering	0.0483142
"blind spot"	0.0480691
weaponization	0.0480235
"dust storm"	0.0480072
STDs	0.0479521
sentimentality	0.0478773
"tax liability"	0.0478499
criminalization	0.0478315
jealousy	0.0478277
sickness	0.047709
"progress report"	0.0476503
irrelevance	0.0476181
"possible action"	0.0475741
"application program"	0.0475419
"final judgment"	0.0474634
coercion	0.0473134
aggravation	0.0472259
hooliganism	0.0472087
IDD	0.0472007
immaturity	0.0471883
pogrom	0.0471445
"regulatory authority"	0.0471116
eventuality	0.047027
))
(backstage (desc 7126.94) (sims
offstage	0.054562
"dressing room"	0.0471096
poolside	0.0462862
upfield	0.0436015
))
(backstop (desc 2070.61) (sims
"safety valve"	0.0666087
team.	0.0607737
right-center	0.0604488
stratosphere	0.0595674
guidepost	0.0551785
counterbalance	0.0548242
Olerud	0.0533344
Tahiti	0.0514405
"reference point"	0.0513901
berm	0.0512707
"staging area"	0.051112
"traffic cop"	0.0505988
Alfonzo	0.049661
"Travis Fryman"	0.0489803
"nearly $@@"	0.0488376
"lead underwriter"	0.0487017
"R. Jay Soward"	0.0477992
sinkhole	0.0473899
sundial	0.0468678
disincentive	0.0464351
"proving ground"	0.0462043
stopgap	0.0451194
"oil slick"	0.044701
insulator	0.0441538
corrective	0.0437507
clearinghouse	0.0437201
"point of reference"	0.0435059
"family unit"	0.0427186
"Jim Leyritz"	0.0423304
outcrop	0.042245
"Kevin Dyson"	0.0420996
"shock absorber"	0.0417234
"Darren Lewis"	0.0416664
"Rod Smith"	0.0416394
pallbearer	0.0415659
"sounding board"	0.041388
troubleshooter	0.0411952
cataclysm	0.0411709
"base of operations"	0.0411319
"speed bump"	0.040939
"claiming race"	0.0408578
emcee	0.0408356
left-center	0.0407998
"guardian angel"	0.0406211
"work camp"	0.0402263
guarantor	0.0400834
))
("Backstreet Boys" (desc 8363.51) (sims
"N Sync"	0.272503
"Britney Spears"	0.197354
"Ricky Martin"	0.189167
"Celine Dion"	0.182177
"Christina Aguilera"	0.167492
"Toni Braxton"	0.155801
"Limp Bizkit"	0.15253
"Whitney Houston"	0.149348
"Shania Twain"	0.145042
"Marc Anthony"	0.131423
TLC	0.124351
"Macy Gray"	0.118055
"Lenny Kravitz"	0.117024
Santana	0.115082
Eminem	0.113704
"Kid Rock"	0.112397
"Dixie Chicks"	0.112199
"Spice Girls"	0.109765
Spears	0.108539
"Red Hot Chili Peppers"	0.108307
Korn	0.105716
"Pearl Jam"	0.102022
Metallica	0.100586
"Sheryl Crow"	0.100435
"Lauryn Hill"	0.0995139
"Dave Matthews"	0.0982109
Madonna	0.0976939
Aerosmith	0.0967877
"Jennifer Lopez"	0.0953899
"Andrea Bocelli"	0.09479
Phish	0.0945189
"Tina Turner"	0.0943494
"GLORIA ESTEFAN"	0.0941327
Twain	0.0914671
R.E.M	0.090973
"Enrique Iglesias"	0.0894456
Hootie	0.0891874
"LeAnn Rimes"	0.086206
"Eric Clapton"	0.0847974
"Phil Collins"	0.0846529
"Bruce Springsteen"	0.0832647
Hanson	0.0831888
Cher	0.0826484
BRITNEY	0.0817183
"Billy Joel"	0.0812
"Mariah Carey"	0.0810106
"Barbra Streisand"	0.0805081
"Alanis Morissette"	0.0802833
U@	0.0786878
Menudo	0.0782621
"Dave Matthews Band"	0.0770851
"Barenaked Ladies"	0.0759625
"Elton John"	0.0752476
"Diana Ross"	0.0752132
"Janet Jackson"	0.0751508
"Boyz II Men"	0.0749416
Springsteen	0.0747639
"Sarah McLachlan"	0.0742724
"Will Smith"	0.0741756
"Puff Daddy"	0.0738249
"Rolling Stones"	0.0727909
"Keri Russell"	0.0706374
"Garth Brooks"	0.0685595
"Marilyn Manson"	0.0684601
Eurythmics	0.0682577
"Smashing Pumpkins"	0.0679358
"Stevie Wonder"	0.0678921
Aguilera	0.0658713
"Erykah Badu"	0.0650007
DMX	0.0646364
"Jimmy Buffett"	0.0643826
"Lilith Fair"	0.0640526
"George Strait"	0.0636821
"Bob Dylan"	0.0634538
"George Michael"	0.0593272
"Beastie Boys"	0.0573629
"Willie Nelson"	0.0566774
"Pink Floyd"	0.0556061
Beatles	0.0555796
"Public Enemy"	0.0555594
Monkees	0.0553316
"Grateful Dead"	0.0541938
"Black Sabbath"	0.052614
"Snoop Dogg"	0.052228
"Melissa Etheridge"	0.0518283
AC/DC	0.0516785
"Michael Jackson"	0.051216
"Bonnie Raitt"	0.0508001
brandy	0.049178
Dre	0.0479911
"Faith Hill"	0.0478356
"James Taylor"	0.0476792
"Drew Carey"	0.0473671
"Frank Sinatra"	0.0473066
"John Mellencamp"	0.0465032
"Salma Hayek"	0.0463394
Blondie	0.045844
"Jo Dee Messina"	0.0455016
Monica	0.0454698
"Jerry Seinfeld"	0.0453489
"Paul McCartney"	0.0453162
"Steve Earle"	0.0452892
Jay-Z	0.0451278
"Tim McGraw"	0.0447214
"Wyclef Jean"	0.0445002
"Paul Simon"	0.0441876
"B.B King"	0.044029
"BUENA VISTA SOCIAL CLUB"	0.0438915
"Jimi Hendrix"	0.0431654
Dion	0.0430572
Barbies	0.0427915
Manson	0.0427351
"Joni Mitchell"	0.0422829
"UNIX operating system"	0.0422118
"Beach Boys"	0.0421218
MANA	0.0416937
"Carlos Santana"	0.0416771
"Aretha Franklin"	0.0413284
"Benny Goodman"	0.0412725
Supremes	0.0412359
"Sex Pistols"	0.0411903
D'Angelo	0.0410789
"Walter Payton"	0.0405826
"Sugar Ray"	0.0403713
"Led Zeppelin"	0.0400651
))
(backstretch (desc 6086.8) (sims
"Lap @@"	0.13695
"Lap @@@"	0.125634
"first turn"	0.119294
straightaway	0.110947
"Turn @"	0.0795125
homestretch	0.0757401
Futurity	0.0667978
oval	0.0638878
"starting gate"	0.0615732
paddock	0.060984
Artax	0.0578205
"Jockey Club Gold Cup"	0.0564542
barn	0.0535337
racetrack	0.051753
"winner's circle"	0.0470891
"San Felipe"	0.0469981
backside	0.0422879
stakes	0.0422721
))
(backstroke (desc 11786.3) (sims
breaststroke	0.556206
freestyle	0.472145
medley	0.420741
butterfly	0.317406
relay	0.297912
"long jump"	0.206959
hurdle	0.187686
"shot put"	0.184037
"pole vault"	0.179837
Heptathlon	0.179472
slalom	0.175722
scull	0.175325
"hammer throw"	0.170049
men's	0.166641
"high jump"	0.16445
steeplechase	0.158677
im	0.158211
Super-G	0.156834
springboard	0.146803
preliminary	0.143881
decathlon	0.140535
sprint	0.136152
epee	0.133067
downhill	0.129008
marathon	0.127437
javelin	0.125496
"horizontal bar"	0.122403
relays	0.122401
"world record"	0.121257
"ski jumping"	0.117194
skeet	0.117128
"South Regional"	0.11442
"field hockey"	0.112976
"Pan Ams"	0.11148
final	0.107095
"European Cup"	0.106473
"Asian Games"	0.104668
"pommel horse"	0.103876
"clean and jerk"	0.101701
triathlon	0.100926
"Fed Cup"	0.100739
Skating	0.100237
snatch	0.100117
biathlon	0.100049
badminton	0.0996515
weightlifting	0.0984288
"League Cup"	0.0978804
"Louis Vuitton Cup"	0.0973949
"West Regional"	0.0972826
"Atlanta Olympics"	0.0962055
"London Marathon"	0.0958602
"World Championships"	0.0957528
medal	0.0957512
"Japan Open"	0.0954999
dash	0.0954074
swimming	0.0948104
"Australian Open"	0.0940351
"Italian Open"	0.0939424
judo	0.0936995
"AFC West"	0.0931303
volleyball	0.0924947
diving	0.0923464
"Asian Cup"	0.0922029
"Canadian Open"	0.0903665
dressage	0.0903642
semifinal	0.0903239
"figure skating"	0.0902286
"AL Central"	0.0888772
"European Champions Cup"	0.0882168
"Grand Prix"	0.0876635
"parallel bars"	0.0876161
pistol	0.0872138
archery	0.0872103
"F.A Cup"	0.0871014
"NL Central"	0.0869455
medallist	0.0864169
"Thomas Cup"	0.0859933
"relay race"	0.0855771
"NFC East"	0.0852603
"Uber Cup"	0.0851736
"US Open"	0.0849168
"cross country"	0.0843186
"World Championship"	0.084103
"World Junior Championships"	0.0839689
championship	0.0837566
bronze	0.0836356
Gymnastics	0.0830762
"swimming event"	0.0828795
discus	0.0827645
"ski jump"	0.082535
"NFC Central"	0.0822834
"Goodwill Games"	0.0820756
"Champions Cup"	0.0819423
"Hamlet Cup"	0.0812899
"table tennis"	0.0809158
"Central Division"	0.0808892
"Swiss Open"	0.0808485
"Midwest Regional"	0.0807336
"Commonwealth Games"	0.0807059
"Donovan Bailey"	0.0802779
"NFC West"	0.0800319
"Pan Am Games"	0.0799148
ATP	0.079654
"Pacific Division"	0.079571
"European Championship"	0.0793664
"track and field"	0.0791361
"French Open"	0.0789342
"New York City Marathon"	0.0788115
"European Championships"	0.0787551
"water polo"	0.0787315
"AFC East"	0.0785249
"NL East"	0.0782642
"Paris Open"	0.077883
"Barcelona Games"	0.0774865
"National Invitation Tournament"	0.0773476
"Pan American Games"	0.0772903
"AL East"	0.077011
prelim	0.0769975
"Sudirman Cup"	0.0767523
doubles	0.0765866
"Barcelona Olympics"	0.076354
"Top Fuel"	0.0763378
pentathlon	0.0760154
"Eastern Conference"	0.0757838
flyweight	0.0757829
"round robin"	0.0757426
medalist	0.0755306
"NL West"	0.0751782
tourney	0.0751777
"SEA Games"	0.0751605
"Gold Cup"	0.0751439
"U.S. Open"	0.0751323
"Little League World Series"	0.0751131
"Big Sky Conference"	0.0750434
"American League West"	0.0745378
"World Cup"	0.0745248
"East Regional"	0.074179
gold	0.0741765
"AFC Central"	0.0737717
"Eastern Division"	0.0733251
"Kremlin Cup"	0.073151
"Hopman Cup"	0.073053
three-meter	0.0730154
"UEFA Cup"	0.072773
"German Open"	0.0726068
"Boston Marathon"	0.0725721
EuroLeague	0.0723074
"Atlanta Olympic Games"	0.0720973
"Champions League"	0.0719224
"African Nations Cup"	0.0714475
"ATP Championship"	0.0713923
"Davis Cup"	0.0713396
"AL West"	0.071126
"National Games"	0.070871
"Hong Kong Open"	0.0708131
"track event"	0.0707664
"Volleyball Championship"	0.0700964
"National League West"	0.0697732
"Western Open"	0.0694826
"Grand Slam Cup"	0.0691933
"ice hockey"	0.0685643
"ATP Tour"	0.0684813
rowing	0.0681966
"Kentucky Derby"	0.0679374
"Stockholm Open"	0.0676812
"Bangkok Asian Games"	0.0675006
Lillehammer	0.0674864
"U.S. Amateur"	0.0673185
"African Cup"	0.0672299
clocking	0.06693
"Confederations Cup"	0.0669256
"Western Conference"	0.0668332
"Italian Cup"	0.0668089
"Olympic Games"	0.0666193
"three-day event"	0.0665315
"Daytona @@@"	0.0662299
ACC	0.0661366
"Euro @@@@"	0.0655985
"Lipton Championships"	0.0653072
WCC	0.0652346
"SEC East"	0.0651727
"grand slam"	0.0649476
"Southeastern Conference"	0.0647053
"World Basketball Championship"	0.0646078
"Federation Cup"	0.0644228
"Arkansas Derby"	0.0641957
"Volleyball Grand Prix"	0.0638003
bobsled	0.0637625
"Asian Championships"	0.0636271
Universiade	0.0634963
"Kieren Perkins"	0.0634023
bantamweight	0.0633198
cycling	0.0633167
"Belmont Stakes"	0.0631133
Seville	0.0628467
hardcourt	0.0627655
"Maurier Open"	0.0627577
"Maurice Greene"	0.0625735
"Dubai World Cup"	0.0625159
semi	0.0624544
))
(backup (desc 62785.6) (sims
quarterback	0.162293
starter	0.12476
"free agent"	0.10846
rookie	0.097515
replacement	0.0937391
goalie	0.0928056
receiver	0.0902378
"tight end"	0.088343
journeyman	0.0881219
goaltender	0.0853879
"running back"	0.0832707
catcher	0.0826053
cornerback	0.0818773
guard	0.0817684
linebacker	0.079872
lineman	0.0760119
tackle	0.0703951
freshman	0.0696423
player	0.0695691
fullback	0.0689696
understudy	0.0685414
"No. @"	0.0660864
returner	0.0647936
tailback	0.0638443
All-America	0.0630794
assistant	0.0627667
netminder	0.0627169
coach	0.0611789
passer	0.0606864
linemen	0.0598133
pick	0.0596507
teammate	0.0596092
hitter	0.0596039
defensive	0.0592801
All-American	0.0592468
standout	0.0589578
reliever	0.0583578
infielder	0.0582049
outfielder	0.0577398
Kicker	0.0573147
"role player"	0.0572695
All-Pro	0.0567034
"pinch hitter"	0.0560694
junior	0.054414
sophomore	0.0542023
forward	0.0532842
scorer	0.0530578
freshmen	0.052976
DH	0.052946
injury	0.0528547
punter	0.0527876
redshirt	0.0521529
guy	0.0518979
blocker	0.0518774
shooter	0.0516195
bronco	0.051449
agent	0.0513211
cowboy	0.0511371
rusher	0.0510542
"designated hitter"	0.0505995
veteran	0.0505963
QB	0.0504303
coordinator	0.0503031
senior	0.050182
cornerbacks	0.0500144
"Pro Bowl"	0.0493805
stand-in	0.0493494
talent	0.049232
interception	0.0491605
superstar	0.0491196
tackler	0.0491001
"first team"	0.0490479
defenseman	0.0489516
falcon	0.0488716
All-Star	0.0480987
offense	0.0475834
safety	0.0469133
shortstop	0.0468662
substitute	0.0464759
"heir apparent"	0.0459789
"center fielder"	0.0457505
"starting pitcher"	0.0457122
reserve	0.0453462
option	0.0448633
goalkeeper	0.0447749
"second best"	0.0447704
MVP	0.0447455
Defense	0.0446295
pitcher	0.0444613
"most valuable player"	0.0443427
patriot	0.0441988
defender	0.0441324
touchdown	0.0434269
"minor leaguer"	0.0434058
"third baseman"	0.0430431
"Vinny Testaverde"	0.042938
cardinal	0.042895
"running game"	0.0427161
alternative	0.0426716
favorite	0.0423165
"question mark"	0.0420943
Giants	0.0420804
No.@	0.0420582
"second baseman"	0.0419532
"first baseman"	0.0415546
tool	0.0414724
"left fielder"	0.0411266
lawyer	0.0408373
jet	0.0408165
Redskin	0.0407173
successor	0.0404937
runner	0.040351
scout	0.0403425
storage	0.0403222
depth	0.0403133
savior	0.0402839
training	0.0402058
charger	0.0400602
))
(backwardness (desc 4416.74) (sims
underdevelopment	0.24299
marginalization	0.140909
inequality	0.135987
deprivation	0.123056
illiteracy	0.121332
urbanization	0.118204
homelessness	0.107262
stagnation	0.104394
instability	0.104369
hunger	0.103426
poverty	0.102935
malnutrition	0.0993663
"debt problem"	0.0954454
destitution	0.0947857
squalor	0.0932664
insecurity	0.092203
inequity	0.0906058
impoverishment	0.0888856
degradation	0.0870669
misery	0.0870639
overpopulation	0.0848349
lawlessness	0.0837802
joblessness	0.0837524
dislocation	0.0836879
oppression	0.0826269
scarcity	0.0825503
ignorance	0.0819922
starvation	0.0793152
apathy	0.0792621
unemployment	0.0789997
polarization	0.0786315
hardship	0.0784724
isolation	0.0781689
famine	0.07785
"ill health"	0.07747
injustice	0.0767862
fragility	0.0762341
inadequacy	0.073822
industrialization	0.0729128
prejudice	0.0723286
strife	0.0720847
powerlessness	0.0703358
fragmentation	0.0693361
Ostracism	0.0681543
helplessness	0.0678899
bigotry	0.067569
intolerance	0.0673189
"economic condition"	0.0672809
tribalism	0.0667154
calamity	0.0665502
desertification	0.066378
rigidity	0.0659815
despair	0.065686
imbalance	0.065675
demography	0.0654824
disintegration	0.0652473
disparity	0.0650156
hyperinflation	0.0642745
racism	0.0641593
inefficiency	0.0639068
competitiveness	0.0636268
deterioration	0.0634167
sluggishness	0.0633569
displacement	0.0633526
modernization	0.0633025
inaccessibility	0.0631109
"vicious cycle"	0.0630028
decay	0.0629675
"standard of living"	0.0627415
attainment	0.0627043
prosperity	0.0624998
Distress	0.0620402
cruelty	0.061853
empowerment	0.0608767
destabilization	0.0607597
dependency	0.0606896
pandemic	0.060262
sickness	0.0600312
indebtedness	0.0596738
inertia	0.0596618
interdependence	0.0595344
segregation	0.0590772
shrinkage	0.0589931
well-being	0.0589554
malaise	0.0584721
dynamism	0.0584232
hopelessness	0.0583893
anarchy	0.0581133
deforestation	0.0580681
potentiality	0.0579844
permissiveness	0.0578202
"environmental condition"	0.0577701
dependence	0.0577235
indifference	0.0572128
repression	0.0571002
alienation	0.056972
congestion	0.0568296
vibrancy	0.0562657
"soil erosion"	0.0560992
protectionism	0.0560641
constraint	0.0559019
upheaval	0.0556502
epidemic	0.0555609
colonialism	0.055465
superstition	0.0554444
imperatives	0.055293
rejuvenation	0.0552139
blindness	0.0552023
complacency	0.0551157
subsidence	0.0550044
"population density"	0.0549686
"growth prospect"	0.0548477
maltreatment	0.0545919
woe	0.0542032
democratization	0.0541155
"crop failure"	0.0540445
"health problem"	0.0539754
shortsightedness	0.053968
arrogance	0.0539248
"cash crunch"	0.0536822
sterility	0.0536714
Balkanization	0.0534646
affluence	0.053137
trauma	0.0530767
"cultivated land"	0.0529623
paralysis	0.0525962
remoteness	0.0525901
literacy	0.05252
complementarity	0.0522629
inactivity	0.0522067
authoritarianism	0.0521739
"crime rate"	0.0521452
disadvantage	0.0520762
governance	0.052053
tranquillity	0.0518094
snafu	0.0516298
"investment climate"	0.0515832
subjugation	0.0514887
contagion	0.0513982
unpredictability	0.0511643
"drug problem"	0.0511464
exclusion	0.0510256
superiority	0.0510049
ugliness	0.0508338
"development strategy"	0.0508224
newness	0.0506595
persecution	0.0505607
emancipation	0.0505491
opening-up	0.0505092
obsolescence	0.0503802
sanitation	0.0502692
disunity	0.0501489
resilience	0.0500617
mortality	0.050061
affordability	0.0498735
impotence	0.0498272
proficiency	0.0498023
incompatibility	0.0497841
deceleration	0.0496697
migration	0.0496139
divisiveness	0.0495776
ferment	0.0495681
rationing	0.0495614
Alcoholism	0.04956
sophistication	0.0495401
immaturity	0.04927
exploitation	0.0492432
insufficiency	0.0492252
sexism	0.0491595
chastity	0.0491476
regionalization	0.0491463
radicalism	0.0490567
"language barrier"	0.0489809
vulnerability	0.0489408
devastation	0.0488334
Exhaustion	0.0485125
"labor force"	0.0484396
granary	0.0484373
self-discipline	0.0483845
erosion	0.0483767
shortcoming	0.0482204
competence	0.0481482
predictability	0.0481206
"power failure"	0.0481108
"about four percent"	0.0480943
worsening	0.0480737
humiliation	0.0480363
loneliness	0.0479703
overheating	0.0477704
advancement	0.0477277
"water pollution"	0.0477245
"mortality rate"	0.0476316
"drug abuse"	0.0475175
"rapid growth"	0.0474935
tranquility	0.0473177
tiredness	0.0472028
downslide	0.0471841
distrust	0.0470537
Obesity	0.0469848
greed	0.0469724
))
(backwater (desc 9452.84) (sims
outpost	0.059173
oasis	0.0554297
burg	0.0524897
also-ran	0.0523829
flashpoint	0.0490687
countryside	0.0481307
hotbed	0.0470668
bastion	0.0464445
has-been	0.0457573
"Shiite Muslim"	0.0456118
pariah	0.0449509
enclave	0.0448358
upstart	0.0448095
battleground	0.044633
Mecca	0.0445099
laggard	0.0442571
accoutrement	0.0440913
kingmaker	0.044043
heartland	0.0439701
graveyard	0.0438401
recluse	0.04366
laughingstock	0.0435099
potentate	0.0429156
wasteland	0.0424699
bayou	0.0423454
jungle	0.0420863
nonentity	0.041837
milieu	0.0417995
obscurity	0.0417252
"picture postcard"	0.041683
despot	0.0416782
"melting pot"	0.0416714
wetlands	0.0408553
Hamlet	0.0405248
stepchild	0.0400491
"Rocky Mountain"	0.0400453
))
(backwoods (desc 1122.54) (sims
"Jim Hunt"	0.0891807
"Olympia J. Snowe"	0.0848805
"Mike Huckabee"	0.0846207
"John Edwards"	0.0748977
"Billy Tauzin"	0.0697067
drawl	0.0678846
"Lauch Faircloth"	0.062163
foothills	0.0577163
"Bernard Sanders"	0.0573053
bayou	0.056437
governorship	0.0561431
"Robert Livingston"	0.0550174
"Blue Shield"	0.0521447
"Roy Romer"	0.0518469
barrios	0.0518128
"Ernest Hollings"	0.0516915
"James Sensenbrenner"	0.0511303
"Jim Jeffords"	0.0498871
"John Breaux"	0.0493237
"Jim Gilmore"	0.0482075
"Ed Bryant"	0.0479524
U.	0.0474983
sharecropper	0.0455372
twang	0.0455202
breadbasket	0.0453324
"Lindsey Graham"	0.0452474
"Nita Lowey"	0.0440681
"Bill Frist"	0.0436016
"Russ Feingold"	0.0430647
"Mark Sanford"	0.0429122
"recreation room"	0.0420676
"Susan Collins"	0.0420078
"Eastern District"	0.0419525
seaboard	0.0419132
"police precinct"	0.0411192
"Mary Landrieu"	0.0407323
byway	0.04012
))
(backyard (desc 25427.8) (sims
"back yard"	0.18358
"front yard"	0.128748
garden	0.0938659
yard	0.0930541
courtyard	0.0900705
basement	0.0858511
"living room"	0.0856585
kitchen	0.0814545
garage	0.0804027
driveway	0.0783417
lawn	0.0773306
rooftop	0.073795
"vacant lot"	0.0730476
"family room"	0.0716324
bedroom	0.0697459
pasture	0.0661234
park	0.0658784
neighborhood	0.0650074
cemetery	0.0621394
"Central Park"	0.0614571
patio	0.060673
porch	0.0601224
"swimming pool"	0.0597296
closet	0.0583887
"parking lot"	0.0579884
"front porch"	0.0579592
"back room"	0.0550226
"open air"	0.0541156
attic	0.0536778
schoolyard	0.0535716
bathroom	0.0526944
apartment	0.0524101
"dining room"	0.0516136
pit	0.0514931
pool	0.0507164
Alley	0.0506183
hallway	0.0503733
orchard	0.0501556
ravine	0.0495096
Warehouse	0.0495021
desert	0.0492614
barn	0.0482641
den	0.0478725
classroom	0.04769
valley	0.0473485
forest	0.0471523
jungle	0.0470698
cellar	0.0465285
clubhouse	0.0463436
"hospital room"	0.04618
"conference room"	0.0459456
pantry	0.0458037
"drawing room"	0.0456366
lake	0.0454638
meadow	0.0453873
bathtub	0.0451223
sidewalk	0.0449236
hillside	0.0447376
playground	0.0445775
cabin	0.0445047
terrace	0.0444985
mansion	0.0444772
workplace	0.0439012
ballgame	0.0438908
"locker room"	0.0436386
cafe	0.0432037
tenement	0.0431274
"dressing room"	0.0428289
sanctuary	0.0427404
countryside	0.0426842
pond	0.0421063
cottage	0.0419737
outfield	0.041936
bed	0.041807
Grove	0.041766
gym	0.0416486
grass	0.0416106
swamp	0.0415034
cafeteria	0.0414647
mall	0.0414612
mud	0.0414523
suburb	0.0413543
"sitting room"	0.0413537
atrium	0.0413452
greenhouse	0.0412767
ranch	0.0412511
enclosure	0.0412171
"mobile home"	0.0411088
ditch	0.0408667
"hotel room"	0.0407561
auditorium	0.0407376
subdivision	0.0406424
"dorm room"	0.0405945
farmhouse	0.0405817
courtroom	0.0404928
ballroom	0.0404197
Marsh	0.0403911
gallery	0.0403182
graveyard	0.040249
plaza	0.0402362
beach	0.0401749
junkyard	0.0401113
parlor	0.0400617
))
(bacon (desc 28352.3) (sims
sausage	0.216055
onion	0.210419
cheese	0.199308
ham	0.197094
pancetta	0.183152
tomato	0.181564
prosciutto	0.178467
potato	0.172696
shallot	0.168338
mushroom	0.168086
scallion	0.16623
Garlic	0.16454
pork	0.162006
celery	0.161957
eggplant	0.160193
"green onion"	0.159215
steak	0.159037
parsley	0.158971
chicken	0.156169
salami	0.155681
zucchini	0.154378
"red onion"	0.151826
butter	0.148375
"bell pepper"	0.146453
cilantro	0.146356
carrot	0.146322
mozzarella	0.146258
cucumber	0.143753
"red pepper"	0.143624
bread	0.142477
pepper	0.142264
"blue cheese"	0.141649
meat	0.14031
spinach	0.139644
shrimp	0.139425
chive	0.139156
"goat cheese"	0.139015
Basil	0.13696
chorizo	0.136869
leek	0.136053
cabbage	0.135184
egg	0.134929
"chicken breast"	0.134132
pasta	0.134019
olive	0.132668
"pine nut"	0.132472
avocado	0.131795
asparagus	0.131557
tortilla	0.130972
noodle	0.130708
chilies	0.130414
"roast beef"	0.129945
"green pepper"	0.127242
ginger	0.125913
bean	0.124544
beef	0.121509
okra	0.121051
chop	0.120044
Parmesan	0.118064
"green bean"	0.117736
vegetable	0.117412
fennel	0.117111
lettuce	0.116962
"olive oil"	0.116652
pancake	0.11609
cauliflower	0.115359
pineapple	0.114666
"sour cream"	0.11409
arugula	0.113426
"black olive"	0.113279
"scrambled egg"	0.112479
brisket	0.112145
tofu	0.111893
Chili	0.110705
Broccoli	0.109187
walnut	0.108749
chiles	0.10842
tomatillo	0.108381
meatloaf	0.108286
oregano	0.107571
sauce	0.107529
mayonnaise	0.107255
artichoke	0.107249
rib	0.107157
yogurt	0.106812
vinegar	0.10649
tuna	0.106396
"Swiss cheese"	0.105979
beet	0.105852
salad	0.105696
"french fries"	0.104826
mint	0.104627
biscuit	0.10458
pecan	0.103982
fillet	0.103834
pea	0.103316
rosemary	0.103248
slice	0.103056
"French toast"	0.103043
jalapeno	0.102549
lamb	0.102461
crumb	0.102273
"lemon juice"	0.102225
"foie gras"	0.101908
"black bean"	0.101645
mango	0.101581
"garlic clove"	0.101574
"tomato sauce"	0.10118
mustard	0.101125
seafood	0.0999244
burgers	0.0995464
thyme	0.0994463
soup	0.0989888
pickle	0.0986182
lemon	0.0983667
almond	0.098113
"ground beef"	0.0978731
"cream cheese"	0.09761
herb	0.0973559
"grated cheese"	0.0973482
Gorgonzola	0.0968373
macaroni	0.0963534
chocolate	0.0962778
Hamburger	0.0960694
tarragon	0.0960503
cake	0.095962
"cheddar cheese"	0.0956759
"sweet potato"	0.0953609
salmon	0.0952017
"hot dog"	0.0951638
salt	0.0948155
polenta	0.094774
cutlet	0.0946245
spaghetti	0.0945881
veal	0.0944482
meatball	0.094108
seasoning	0.0935042
"bay leaf"	0.0933394
gravy	0.0930021
lentil	0.0928253
"water chestnut"	0.0926641
pizza	0.0926241
sugar	0.0923449
FETA	0.092319
FRY	0.092209
turnip	0.0921914
corn	0.0918953
Cheddar	0.0917783
scallop	0.0916545
pesto	0.0911996
apple	0.0911115
broth	0.0910716
"peanut butter"	0.0905735
fruit	0.0900774
watercress	0.0896503
pie	0.0893397
"cottage cheese"	0.0891023
"smoked salmon"	0.0887367
"egg yolk"	0.0886164
"bean sprout"	0.0885578
cornbread	0.0884034
radish	0.0883471
lobster	0.0883316
"shiitake mushroom"	0.0879815
"brussels sprout"	0.0878383
peanut	0.0876747
margarine	0.0874997
truffle	0.0872742
milk	0.0871014
fish	0.0870665
sandwich	0.0863104
"lime juice"	0.0862574
juice	0.0861108
squash	0.0859364
nut	0.0859306
caper	0.0857188
pastry	0.0856169
plantain	0.0854698
"lemon zest"	0.085245
vinaigrette	0.0850628
melon	0.0843907
marjoram	0.0840975
anchovy	0.0840961
confit	0.0836022
dill	0.0835349
rice	0.0833779
ketchup	0.0831503
RHUBARB	0.0831132
mutton	0.0829289
paprika	0.0825974
pumpkin	0.0820497
"French bread"	0.0816422
horseradish	0.0815961
oyster	0.0815847
cream	0.0815329
watermelon	0.0814817
banana	0.0811283
honey	0.0808276
mussel	0.0806986
raisin	0.0805729
))
(bacteria (desc 45353.4) (sims
bacterium	0.309389
virus	0.259
germ	0.244155
microbe	0.237774
pathogen	0.236891
parasite	0.228314
organism	0.210009
coli	0.204454
salmonella	0.198802
microorganism	0.188261
toxin	0.184019
HIV	0.184007
infection	0.180298
fungus	0.171616
listeria	0.170826
"AIDS virus"	0.16715
disease	0.165957
insect	0.158409
fungi	0.152431
strain	0.144829
chemical	0.144423
algae	0.144079
anthrax	0.142533
bug	0.140228
contamination	0.138742
arsenic	0.131815
worm	0.130758
O@@@:H@	0.130254
pesticide	0.130168
dioxin	0.127483
pest	0.126765
contaminant	0.125946
"cancer cell"	0.124202
"hepatitis B"	0.122678
asbestos	0.121597
mildew	0.119418
tuberculosis	0.118659
spore	0.118461
influenza	0.117454
mosquito	0.116475
cell	0.113663
malaria	0.113399
protein	0.112908
encephalitis	0.111513
flu	0.110775
tumor	0.110093
"West Nile"	0.109803
cancer	0.107603
mold	0.106749
"infectious disease"	0.106322
Gene	0.106186
Tb	0.105369
illness	0.103744
allergen	0.102898
hormone	0.102781
"food poisoning"	0.101314
mutation	0.100749
substance	0.10073
cryptosporidium	0.100632
smallpox	0.099979
cholera	0.0988108
PCBs	0.0976813
epidemic	0.0976096
bacillus	0.0974763
giardia	0.0972151
radiation	0.0971895
HIV-@	0.0969095
enzyme	0.0961337
pollen	0.0960125
pollution	0.0958293
botulism	0.0940924
outbreak	0.0931701
mite	0.0930754
antibody	0.0927525
Vaccine	0.0921174
Meningitis	0.0919264
hepatitis	0.0910023
plankton	0.09082
nematode	0.0903401
pneumonia	0.0901671
Hantavirus	0.0899253
"Human Immunodeficiency Virus"	0.0898484
radioactivity	0.0894992
poisoning	0.0890891
animal	0.0889848
particle	0.0888207
pollutant	0.0874695
rotavirus	0.0871842
mice	0.0870269
yeast	0.0857783
drug	0.0851701
poison	0.0849338
cyanide	0.0839531
"colon cancer"	0.0833333
"fruit fly"	0.0828633
Rabies	0.0826889
residue	0.0825763
specie	0.0824894
carcinogen	0.0823849
canker	0.0822742
polio	0.0821142
weed	0.0816716
nutrient	0.0812706
HIV/AIDS	0.0811136
"dengue fever"	0.0809656
"foot-and-mouth disease"	0.0806023
dust	0.0803582
"Lyme disease"	0.0803519
diarrhea	0.0798112
beetle	0.0795057
waste	0.0784313
BSE	0.0780495
ailment	0.077883
fever	0.077068
molecule	0.0768329
fume	0.0766479
defect	0.0763838
blood	0.0763018
moisture	0.0760975
tissue	0.0758878
measles	0.0754432
fish	0.0753487
"plant disease"	0.0748736
human	0.074476
"lung cancer"	0.0744041
tick	0.0742822
creature	0.0739375
syphilis	0.0738151
MTBE	0.0737626
syndrome	0.0734635
Radon	0.0728778
larvae	0.0726514
antibiotic	0.0723695
aids	0.0720631
disorder	0.0719626
"heart disease"	0.0718896
plant	0.0717813
leukemia	0.0708053
DNA	0.0706052
malignancy	0.0700902
impurity	0.0692908
alcohol	0.0692478
"nerve gas"	0.0691858
CJD	0.0691182
"chemical compound"	0.0690368
gas	0.0687365
"carbon monoxide"	0.0686149
"organic compound"	0.0682051
T-cells	0.0677718
oxygen	0.0674895
herbicide	0.0674388
rodent	0.067427
locust	0.0673652
mercury	0.0669138
material	0.0667575
plutonium	0.0667337
fiber	0.0666528
receptor	0.0666074
Dengue	0.0663066
asthma	0.0661687
"air pollution"	0.0656885
"life form"	0.0655686
plague	0.0653978
anemia	0.065223
exposure	0.0650785
mammal	0.0650201
glitch	0.0647913
type	0.0645497
diabetes	0.0644436
bird	0.0643815
malnutrition	0.0639253
"contagious disease"	0.0636736
allergy	0.0636432
vapor	0.0631619
ant	0.0631494
melanoma	0.0630703
feces	0.0630501
ebola	0.0630449
acid	0.0629848
cholesterol	0.062975
steroid	0.0622283
antioxidant	0.0621378
metal	0.062001
aid	0.0619277
rat	0.0619018
Sewage	0.0618491
termite	0.061721
spill	0.0616284
"white blood cell"	0.0616111
Lice	0.0615973
fluid	0.061422
crustacean	0.0612942
"skin cancer"	0.0612321
symptom	0.0609958
complication	0.06069
hazard	0.0601201
predator	0.0595075
odor	0.0594848
abnormality	0.0593815
stress	0.0592697
))
(bacterium (desc 9535.11) (sims
bacteria	0.309389
parasite	0.175856
microbe	0.170523
germ	0.167066
pathogen	0.165828
organism	0.161425
"AIDS virus"	0.157349
virus	0.149874
microorganism	0.148614
fungus	0.1383
coli	0.133762
O@@@:H@	0.127961
toxin	0.126199
HIV	0.123776
infection	0.1161
bacillus	0.115627
fungi	0.112965
listeria	0.104554
salmonella	0.102788
worm	0.100752
strain	0.0984283
mutation	0.0979873
disease	0.0972247
"West Nile"	0.0971157
spore	0.0970681
"hepatitis B"	0.0960078
Gene	0.0934846
canker	0.0902217
giardia	0.0900269
epidemic	0.0891803
contaminant	0.0888816
Hantavirus	0.0884222
"chemical compound"	0.0880048
bug	0.0875943
ebola	0.0874544
encephalitis	0.0871947
"fruit fly"	0.0871756
anthrax	0.0856342
enzyme	0.0845294
outbreak	0.0827771
"plant disease"	0.0813949
influenza	0.0807057
contamination	0.0791135
"infectious disease"	0.0788268
Dengue	0.0787084
antibody	0.0784022
cholera	0.0776495
malignancy	0.0768208
Meningitis	0.0761624
malaria	0.0753452
"food poisoning"	0.0748295
poisoning	0.0738835
tumor	0.0734974
radioactivity	0.072012
flu	0.0713687
pest	0.0713444
insect	0.0709481
tuberculosis	0.0706996
cell	0.0702616
antigen	0.069814
carcinogen	0.0696202
protein	0.0690563
"dengue fever"	0.0689839
molecule	0.0687122
nematode	0.0685304
Chlamydia	0.0684584
cryptosporidium	0.0681663
botulism	0.0679503
genome	0.0675257
smallpox	0.0668037
hepatitis	0.0666478
chemical	0.0663795
HIV-@	0.0663328
asbestos	0.0659659
Rabies	0.0653981
insecticide	0.065246
Vaccine	0.0651193
defoliant	0.0650604
algae	0.0648949
pesticide	0.0644102
"nerve gas"	0.0643745
pollen	0.0639925
particle	0.0637662
pneumonia	0.063442
poison	0.0633678
"Human Immunodeficiency Virus"	0.0631231
substance	0.0626639
herbicide	0.062509
meteorite	0.0624375
illness	0.0622808
abnormality	0.0617221
Tb	0.0615195
macro	0.0611283
"explosive device"	0.0611199
arsenic	0.0609118
stimulant	0.0607945
"electric current"	0.0604401
"Lyme disease"	0.0603614
rotavirus	0.0602789
receptor	0.059803
defect	0.0589164
antioxidant	0.0588284
"subatomic particle"	0.0587426
EPO	0.0587308
syphilis	0.0587033
"foot-and-mouth disease"	0.058273
CJD	0.0582699
"cancer cell"	0.057986
HIV/AIDS	0.0575932
beetle	0.0574271
hormone	0.0567547
SNPs	0.0563538
allergen	0.0555099
chromosome	0.0554592
Sarin	0.0553122
pandemic	0.0548517
mold	0.0545437
dioxins	0.0544963
"flowering plant"	0.0544285
"temperature change"	0.0541564
peptide	0.0537354
malady	0.0535996
ailment	0.0527469
anemia	0.052714
pollutant	0.0526747
asteroid	0.0526426
mosquito	0.052209
"lung cancer"	0.0521632
"white blood cell"	0.0520503
clenbuterol	0.0514851
"human activity"	0.0514229
fragment	0.0510685
herpes	0.0507903
steroid	0.0506554
variant	0.0501761
diarrhea	0.0501369
mite	0.0501261
"communicable disease"	0.0499316
"blood cell"	0.0497454
MDMA	0.0496874
"skin cancer"	0.049496
glitch	0.0492773
clot	0.0491336
H.	0.0490823
radiation	0.0490373
telomerase	0.0488341
RNA	0.0486122
ephedrine	0.0485827
"amino acid"	0.0485775
leprosy	0.0485294
"ice crystal"	0.048511
weed	0.0483908
disorder	0.0483499
"blood clot"	0.0482282
"cystic fibrosis"	0.0480403
complication	0.0480217
"neurological disease"	0.0479679
"bubonic plague"	0.0475777
"chemical agent"	0.047484
DNA	0.0473138
fume	0.0465025
dioxin	0.0463559
vibration	0.0461797
moisture	0.0461636
melanoma	0.0461286
syndrome	0.046025
polio	0.0460171
residue	0.0459937
phenomena	0.045931
BSE	0.0458315
sedative	0.0455995
measles	0.0455588
polyp	0.0455166
"ultraviolet radiation"	0.0455129
"contagious disease"	0.0454636
"life form"	0.0454449
fluoride	0.0454224
"fatty acid"	0.0452795
symptom	0.0452257
"colon cancer"	0.0450025
aids	0.0449251
antifreeze	0.0448633
yeast	0.0445916
hGH	0.0444713
larvae	0.0438992
contagion	0.0438161
bomblets	0.0437632
malnutrition	0.0436289
additive	0.0435255
mice	0.0435124
trachoma	0.0435066
"carbon monoxide"	0.0434851
termite	0.0434363
pox	0.0433902
"acid rain"	0.0433602
"genetic disease"	0.0432176
aneurysm	0.0432071
"sexually transmitted disease"	0.0431696
mollusk	0.0429469
"typhoid fever"	0.0429172
))
(bad (desc 52211.6) (sims
tough	0.121376
silly	0.0998062
weird	0.0995575
simple	0.0969386
fun	0.0885919
stupid	0.088252
worse	0.085311
ok	0.0842472
much	0.0827124
smart	0.0820399
wrong	0.081816
thing	0.0795123
quick	0.0771202
old	0.0758868
same	0.0754606
solid	0.0718075
negative	0.0717456
perfect	0.0683879
sweet	0.0676753
problem	0.0660481
something	0.0647548
safe	0.063979
nothing	0.0636909
stuff	0.0635554
worst	0.063291
hamstring	0.0629524
cold	0.0628357
anything	0.0619785
little	0.061778
mistake	0.0615827
sore	0.0613575
tendinitis	0.0613444
natural	0.0603126
injury	0.0599069
fine	0.0593539
lot	0.058871
chance	0.0583565
positive	0.0574205
sprain	0.0572087
can	0.0570071
spectacular	0.0566603
thought	0.0565884
"whole lot"	0.0565267
Luck	0.0563765
deep	0.0561837
evil	0.0561809
groin	0.0554144
flu	0.0553829
bit	0.0551753
"bad luck"	0.0550904
young	0.0548963
special	0.0547614
doe	0.0539815
no	0.053921
knee	0.0538878
factor	0.0537584
guy	0.0536747
reason	0.0529255
foul	0.0528251
joke	0.0527745
guess	0.0527231
doing	0.0527012
ligament	0.0521114
ankle	0.0520989
pain	0.0519325
everything	0.0518192
common	0.0515593
kid	0.0515014
spasm	0.051307
soreness	0.0512402
fracture	0.0511163
muscle	0.0509171
"bad guy"	0.0504664
trouble	0.0502589
opportunity	0.0502174
shoulder	0.049832
shot	0.0497501
you	0.0495329
distraction	0.0492561
hip	0.0492193
headache	0.0490283
feeling	0.0488874
shame	0.0486237
dream	0.0483693
ones	0.0483607
playing	0.0482753
fault	0.0480988
sense	0.0479051
indication	0.0478034
tragedy	0.0474665
oh	0.0474661
disaster	0.0473488
wonder	0.0472026
laugh	0.0471448
excuse	0.0469863
news	0.0469545
concussion	0.0468722
fluke	0.0467156
"hard time"	0.0466739
"big game"	0.0464596
wrist	0.046415
thinking	0.0463486
nobody	0.0463453
truth	0.0463267
matter	0.0461193
reality	0.0458483
happening	0.0458315
elbow	0.0457388
expletive	0.0456832
weakness	0.0454736
ballgame	0.0453997
nightmare	0.0453117
"long shot"	0.0452601
ball	0.0451442
attention	0.045116
things	0.0449274
difference	0.0448641
Nn	0.0447987
finger	0.0447741
offense	0.0446094
upside	0.044323
sort	0.044102
fact	0.0439527
em	0.0439062
disappointment	0.0439001
Foot	0.0438039
memory	0.0436306
nonsense	0.0435948
saying	0.0435368
toe	0.043374
bet	0.0433078
mess	0.0432001
normal	0.0431608
trick	0.0431221
"first time"	0.0430092
"good shape"	0.0429584
rough	0.0429278
success	0.0429101
"a few"	0.0427338
"long time"	0.0427152
everyone	0.0426914
someone	0.0425902
football	0.042463
consequence	0.0424064
misconception	0.0423674
"big time"	0.0423335
extreme	0.042327
baby	0.0421943
yes	0.0421804
Q.	0.0421147
"role model"	0.0420895
bruise	0.042067
somebody	0.0419439
emotion	0.0419334
overall	0.0418635
pity	0.0418286
moment	0.041804
unknown	0.0417738
anybody	0.0417039
error	0.0416912
"coming back"	0.0416208
secret	0.0414163
we	0.0414139
motivation	0.0414081
magic	0.0413117
breath	0.0412888
publicity	0.0411901
basketball	0.0411448
catastrophe	0.0411043
failure	0.0410416
"no one"	0.0407761
pitching	0.0407495
choice	0.0407337
advantage	0.0406655
obstacle	0.0405643
leg	0.0405365
talent	0.040477
punch	0.0403525
flaw	0.0403012
tool	0.040267
lesson	0.0402569
miracle	0.0401517
inning	0.0400798
"good luck"	0.0400209
excitement	0.0400006
))
("bad blood" (desc 4710.74) (sims
acrimony	0.119148
animosity	0.109705
"ill will"	0.100889
enmity	0.0926756
friction	0.0905286
mistrust	0.0860351
bitterness	0.085098
rivalry	0.0823972
dissension	0.0758663
resentment	0.0742052
misunderstanding	0.0736966
antagonism	0.0732376
finger-pointing	0.0716773
rift	0.0715548
hatred	0.0690491
"difference of opinion"	0.0680109
miscommunication	0.0667289
similarity	0.0659563
feud	0.064446
rancor	0.0644154
jealousy	0.0636254
confusion	0.0617199
hostility	0.0609968
"hanky panky"	0.0609638
"blood feud"	0.0597644
recrimination	0.0597507
discord	0.0592819
discrepancy	0.0592326
haggling	0.0590326
hand-wringing	0.0587665
slugfest	0.0586395
hesitancy	0.058333
"safety problem"	0.0566824
intimacy	0.0566121
distrust	0.0561925
"breathing room"	0.0559371
chasm	0.0558299
backsliding	0.0553369
bloodshed	0.0551116
commonality	0.0548673
dissonance	0.0546988
"inferiority complex"	0.0546896
nastiness	0.0536901
nervousness	0.0523903
ribbing	0.0522781
"state of war"	0.0522071
"Subway Series"	0.0515046
disparity	0.0514298
"elbow room"	0.051407
polarization	0.0514059
"hue and cry"	0.0513517
brawl	0.0512119
unease	0.0509904
grudge	0.0504096
guesswork	0.0503203
quarrel	0.0502631
animus	0.0502098
prejudice	0.0498098
inequity	0.0496364
ifs	0.0495847
divergence	0.0492135
commotion	0.0488854
oomph	0.0487436
downtime	0.0486729
sparring	0.0486262
karma	0.0485922
synergy	0.0485775
"loose end"	0.0482329
anti-Semitism	0.0476531
schism	0.0471861
correspondence	0.0470707
Leeway	0.0468663
fuss	0.0467324
"free time"	0.0463131
ambiguity	0.0462611
"waiting game"	0.0461323
bargaining	0.046112
"guessing game"	0.0458011
cynicism	0.0456206
dropoff	0.0456162
trepidation	0.0455784
dichotomy	0.0452641
absolutes	0.0452083
suspense	0.0449529
"saber rattling"	0.0449468
turbulence	0.044693
corroboration	0.0446929
loathing	0.0446713
dustup	0.0445639
discontent	0.0442127
cleavage	0.0440053
anomaly	0.0439199
hassle	0.0438556
trash-talking	0.0437529
alienation	0.0436495
"good will"	0.0436425
sadness	0.0436419
impasse	0.0434035
FTA	0.04326
moisture	0.0432589
disharmony	0.0428329
aftertaste	0.0427952
correlation	0.0426861
"personal relation"	0.0426718
flare-up	0.0426405
unpleasantness	0.0426322
tiff	0.0426109
hesitation	0.0425121
angst	0.0424763
divisiveness	0.0423243
flak	0.042275
"foot traffic"	0.0422283
cannibalism	0.0421605
misgiving	0.0421239
"close call"	0.0420652
apprehension	0.0420554
discomfort	0.0419619
jitters	0.0419055
"fire wall"	0.0416913
cross-pollination	0.0416883
bickering	0.0416429
"secret plan"	0.0415409
heatwave	0.0413994
ruckus	0.0413478
wariness	0.0413263
estrangement	0.0411877
delusion	0.0411547
inequality	0.0410122
meanness	0.040963
belligerence	0.0409083
horse-trading	0.0407562
"health problem"	0.0407452
heartache	0.0407265
misconception	0.0404203
groundswell	0.0403847
"Opium War"	0.040247
profanity	0.0402115
negativity	0.0400977
))
("bad debt" (desc 13041.1) (sims
NPLs	0.176116
"non-performing loans"	0.159572
debt	0.14414
loan	0.129586
asset	0.103146
liability	0.099495
deposit	0.098598
liquidity	0.0905575
"financial loss"	0.089748
"budget deficit"	0.0886135
arrears	0.0871108
overdraft	0.0829425
"interest payment"	0.0803362
"tax revenue"	0.0803046
capitalization	0.0793025
"medical bill"	0.0792182
expenditure	0.0789656
"bank debt"	0.0788749
saving	0.0775601
recapitalization	0.0773166
unemployment	0.0756534
backlog	0.075262
borrowing	0.0748897
deficit	0.0712847
lending	0.0700222
"capital gain"	0.0685669
insolvency	0.0680913
"debt service"	0.0678638
paperwork	0.0668406
bankruptcy	0.0666943
inventory	0.0664562
revenue	0.0654241
spending	0.0653954
overcapacity	0.0653852
"liquidity problem"	0.0653771
receivables	0.0650317
burden	0.0649649
"legal fee"	0.0648304
"operating cost"	0.064541
"bank deposit"	0.0645239
mortgage	0.0634623
surplus	0.0634166
outlay	0.0633525
FDI	0.062417
oversupply	0.0623648
equity	0.062342
"trade deficit"	0.0623377
servicing	0.0623175
"asset value"	0.061915
bailout	0.0613225
"consumer credit"	0.0611575
"foreign direct investment"	0.0611141
"cost overrun"	0.0606804
rubbish	0.0604046
mismanagement	0.0603036
"red tape"	0.0601316
joblessness	0.059556
layoff	0.0591888
write-off	0.0590871
"personal loan"	0.0590006
"debt payment"	0.0589987
"air pollution"	0.0588901
"investment portfolio"	0.0582806
ODA	0.057827
"production cost"	0.0577385
overpayment	0.0575207
holding	0.0574401
"toxic waste"	0.0574298
expense	0.0573999
poverty	0.0572217
"foreign exchange"	0.0571351
"trade surplus"	0.0568581
outflow	0.0568331
"equity investment"	0.0566574
"balance sheet"	0.0563869
Garbage	0.0563809
repayment	0.0559954
"market value"	0.0555661
"income tax"	0.0552643
"spending cut"	0.0551973
instability	0.0548188
"insurance premium"	0.0547739
losses	0.0547618
crises	0.0546748
earnings	0.0546082
uncertainty	0.0544909
shareholding	0.0544668
"net profit"	0.0544173
woe	0.0543394
corruption	0.0542535
"capital expenditure"	0.0539775
"operating expenses"	0.0539338
weakness	0.053705
"export credit"	0.0536286
caseload	0.0535976
stockpile	0.0535699
"interest rate"	0.0532945
"debt load"	0.0531392
"crop failure"	0.0531315
"oil price"	0.0531274
pollution	0.0531168
crunch	0.052938
redundancy	0.05281
"bank failure"	0.0527879
profitability	0.0526432
financing	0.0526335
wage	0.0524237
shortfall	0.0518693
pension	0.0518179
hardship	0.0515615
inflow	0.0515296
"retail sale"	0.0514945
inefficiency	0.051461
"tax reduction"	0.0514361
"capital investments"	0.0514078
GDP	0.0512805
"debt problem"	0.0512626
"Treasury bill"	0.0512375
remittance	0.051127
indebtedness	0.0508242
"personal income"	0.0507747
portfolio	0.0505946
"working capital"	0.050553
funding	0.0505241
turmoil	0.050476
"forest fire"	0.0503909
receipt	0.0501193
depositor	0.0500034
"home mortgage"	0.0499157
shortage	0.0498988
delinquency	0.0498825
fallout	0.049854
enrollment	0.0496516
"tax collection"	0.0495095
"tax bill"	0.0493054
"market share"	0.0489078
"unemployment rate"	0.0487568
productivity	0.0484585
"housing sale"	0.0484435
"economic crisis"	0.0483522
"national income"	0.0480611
"money supply"	0.0480525
IOU	0.0480471
"acid rain"	0.0480341
"power failure"	0.0480195
exposure	0.0478094
"corruption scandal"	0.0477018
"interest expense"	0.0475876
payout	0.0473491
bottleneck	0.0471857
"Treasury bond"	0.0471473
reparation	0.0469317
debris	0.0468124
"letter of credit"	0.0467855
compensation	0.0467076
disruption	0.0465822
"net income"	0.046568
"ransom money"	0.0462578
imbalance	0.0460963
"oil slick"	0.0460687
inflation	0.0459899
subsidy	0.0459826
"consumer demand"	0.0459085
"vehicle sale"	0.0458439
outages	0.0456984
retrenchment	0.0456919
"tax break"	0.0456409
"elephant population"	0.0455384
recession	0.0455061
billion	0.0454609
"estate tax"	0.0453226
"soil erosion"	0.04525
"tax income"	0.0452056
"amount of money"	0.0450842
"gross national product"	0.0450702
congestion	0.0450622
downturn	0.0450261
default	0.0449871
acreage	0.0448486
"preferred shares"	0.0448156
borrower	0.0447495
"tax liability"	0.0446485
"debt issue"	0.0446082
refund	0.0444081
"take-home pay"	0.0444021
insecurity	0.0443707
overhang	0.0442526
"credit rating"	0.0441821
"credit line"	0.0441728
mortality	0.0440856
bureaucracy	0.0440819
malpractice	0.0440459
nationalization	0.0440015
degradation	0.0439077
foreclosure	0.0438894
"truck sale"	0.0438644
leakage	0.0438642
"labor cost"	0.0438636
"commercial paper"	0.0437298
"labor force"	0.0435761
))
("bad guy" (desc 15382.4) (sims
villain	0.114804
"good guy"	0.113775
"good person"	0.0827161
bully	0.0807795
idiot	0.0801596
"tough guy"	0.0772957
thug	0.0764122
crook	0.0748495
robber	0.0726654
gangster	0.071449
aggressor	0.069615
criminal	0.0686121
buffoon	0.0680599
thief	0.0668477
"femme fatale"	0.0661483
monster	0.0661005
"hard worker"	0.0660127
Killer	0.0651911
hacker	0.0649831
enemy	0.0646232
"big leaguer"	0.0643137
racist	0.0634778
clown	0.0623539
terrorist	0.0610623
"leading man"	0.0604837
sinner	0.0599822
dude	0.059542
"hockey player"	0.0595065
Cop	0.0594912
ballplayer	0.0590061
psychopath	0.058997
troublemaker	0.0586456
wimp	0.0582559
evil	0.0581526
attacker	0.0580275
witch	0.0579612
hero	0.057791
fool	0.0577565
jerk	0.057379
"heavy hitter"	0.0571796
underachiever	0.0571254
"movie star"	0.0571072
"fall guy"	0.0568748
"drug dealer"	0.0567492
liar	0.0566776
murderer	0.0566463
burglar	0.0562465
hypocrite	0.0562393
stupid	0.0561148
"role model"	0.0556505
coward	0.0556205
creature	0.0553109
underdog	0.0550809
immortal	0.0550293
smuggler	0.0548428
spy	0.054514
predator	0.0543579
lunatic	0.054268
shooter	0.0541577
expletive	0.0534872
capitalist	0.0531128
geek	0.0530679
perpetrator	0.0530193
"young man"	0.0529864
fascist	0.0528802
demon	0.0527777
cheater	0.0527526
rogue	0.0527502
alien	0.0527336
monopolist	0.0526302
wrestler	0.0525716
"drug trafficker"	0.0525421
"paying attention"	0.0523949
outcast	0.0520233
"leading lady"	0.0520061
bigot	0.0519096
Grinch	0.0518406
"ball club"	0.0518168
Dinosaur	0.0516323
proactive	0.0515222
drunk	0.0515128
liberal	0.0513921
assailant	0.0512713
snob	0.0509665
adversary	0.050741
nerd	0.0506451
kidnapper	0.0506125
interloper	0.0504531
intruder	0.0503509
"character actor"	0.0503472
bum	0.0503293
policeman	0.0500071
extremist	0.0499427
Nazi	0.0499092
"prima donna"	0.0497927
"serial killer"	0.0497532
reformer	0.0496043
"wise guy"	0.0493825
servant	0.0491399
pushover	0.0490384
innocent	0.0488672
weirdo	0.0487231
savior	0.0486271
prankster	0.0484348
em	0.0483864
Superman	0.0483467
lawbreaker	0.0482877
"rock star"	0.0482837
radical	0.0480844
teenager	0.0480116
vandals	0.0478299
poacher	0.0477265
outsider	0.0477153
"old lady"	0.047637
whore	0.0475921
traitor	0.0475264
opportunist	0.047461
"risk taker"	0.0474008
scum	0.0473996
polluters	0.0473241
assassin	0.0472994
Goliath	0.0472234
bandit	0.0472131
has-been	0.0471833
freak	0.04715
bloke	0.0471369
trafficker	0.0469985
Rapist	0.0468842
schemer	0.046883
stranger	0.0468288
somebody	0.0466999
"little boy"	0.0466694
ideologue	0.0466687
loser	0.0466323
mugger	0.0466118
stooge	0.0465711
tyrant	0.046499
Saint	0.0463543
grasshopper	0.0463429
warrior	0.0463261
pirate	0.0462901
Daddy	0.0459775
dummy	0.0459384
scoundrel	0.0458632
CAT	0.0458486
cowboy	0.0457307
grown-up	0.0457146
maniac	0.0457107
heretic	0.0456815
"baseball player"	0.0456311
"hit man"	0.0453616
celebrity	0.0453558
desperado	0.0453186
babe	0.0453032
felon	0.0452038
martyr	0.045116
monkey	0.0450448
hoodlum	0.0449632
vampire	0.0449177
"old man"	0.0448175
pimp	0.0447946
optimist	0.0447908
"basketball player"	0.044727
"whipping boy"	0.0446913
Martian	0.0446622
fiend	0.0446387
"free spirit"	0.0444261
stunt	0.0443643
gentleman	0.0442449
"football player"	0.0441889
gambler	0.0441365
fella	0.0439953
sucker	0.0439342
Scrooge	0.0438693
antihero	0.0438633
culprit	0.0438549
violator	0.0438422
"rich man"	0.0438122
zealot	0.0437941
superstar	0.0437865
pragmatist	0.0436641
leech	0.0436334
gunman	0.043605
drinker	0.0435437
scapegoat	0.0435243
picky	0.0434972
zombie	0.043391
devil	0.0433715
Moses	0.0433478
eccentric	0.0431421
bomber	0.0430648
"big game"	0.0430197
joker	0.0430011
antsy	0.042912
"role player"	0.0429088
Luddite	0.0429063
bodyguard	0.0428626
protagonist	0.0428383
"family man"	0.0427625
pariah	0.0427553
))
("bad luck" (desc 9842.42) (sims
Luck	0.129398
misfortune	0.115823
"good luck"	0.110515
"good fortune"	0.0981487
adversity	0.0970106
coincidence	0.0926245
miscommunication	0.080184
fluke	0.0769336
letdown	0.0758463
"wishful thinking"	0.0755847
karma	0.0747827
hardship	0.0711985
serendipity	0.0709328
happenstance	0.0701861
mishap	0.0701289
"close call"	0.0682268
"power failure"	0.0677975
mistake	0.0674261
misery	0.0672379
inexperience	0.0670341
hubris	0.0659898
inconvenience	0.0652327
hiccup	0.064875
finger-pointing	0.063868
calamity	0.0632464
"health problem"	0.0628246
trauma	0.0626729
"common sense"	0.0625653
"bad weather"	0.0625384
nonsense	0.062456
foul-up	0.0621253
carelessness	0.0616588
misconception	0.0614827
heartache	0.0613638
idiocy	0.0610387
confusion	0.0607803
catastrophe	0.0607547
blunder	0.0606483
setback	0.0604177
misjudgments	0.0603908
embarrassment	0.0602094
disaster	0.0599482
prejudice	0.0598424
stupidity	0.059665
indignity	0.0594918
fatigue	0.0592481
misunderstanding	0.0588129
glitch	0.0579882
"hard work"	0.0579589
distraction	0.0577621
firsts	0.0577106
ineptness	0.0574617
ignorance	0.057419
silliness	0.0572157
sloppiness	0.0568291
"cold snap"	0.0565693
chutzpah	0.0565609
tragedy	0.0565167
foolishness	0.056112
gaffe	0.056072
disgrace	0.0560169
greed	0.0557443
disappointment	0.0556137
willpower	0.0548792
madness	0.0546963
laziness	0.0546884
"breathing room"	0.0546435
boredom	0.0546214
injustice	0.054434
inconsistency	0.0543683
"good manners"	0.0543418
timing	0.0542745
"wear and tear"	0.053947
happiness	0.0537567
curse	0.0535884
ribbing	0.0535534
snafu	0.0534365
trickery	0.0533653
humiliation	0.0533572
nightmare	0.0532552
jinx	0.0532505
futility	0.0529737
racism	0.0527869
inertia	0.0524823
hypocrisy	0.0523719
misstep	0.0521962
"engine failure"	0.0521341
judgment	0.0520952
lapse	0.0519325
hassle	0.0513609
volatility	0.0513601
guesswork	0.0512977
shortsightedness	0.0512746
intangible	0.0510615
lunacy	0.0510002
"cold weather"	0.0509289
horseplay	0.0507586
obstacle	0.0503883
heartbreak	0.0502846
epiphany	0.0501653
stamina	0.0501404
"hot weather"	0.0500547
"deja vu"	0.0500499
curiosity	0.0499071
mischief	0.0496809
headache	0.0496261
overreaction	0.0495992
"production problem"	0.0495889
myopia	0.0495022
sprain	0.0494736
hype	0.0493822
"red tape"	0.049272
naivete	0.0489888
sadness	0.0489626
chaos	0.0489178
malfunction	0.0488719
turmoil	0.0487619
instability	0.0487617
jitters	0.0487348
intuition	0.0486975
"big game"	0.0486816
stigma	0.0485803
disruption	0.048561
inefficiency	0.0485203
apathy	0.0485153
bravado	0.0484916
blessing	0.0484496
vandalism	0.048416
uncertainty	0.0484073
charisma	0.0483526
"four-letter word"	0.0483477
"writer's block"	0.0482499
catharsis	0.0481476
gamesmanship	0.0481153
provocation	0.048077
drought	0.0479595
hunger	0.0479176
arrogance	0.0478867
patience	0.0478008
crap	0.0477578
Exhaustion	0.0477352
rollovers	0.0477119
immaturity	0.0476977
"difference of opinion"	0.0475977
downtime	0.0475977
insecurity	0.047564
downturn	0.0475101
outage	0.0474731
imperfection	0.0474495
aberration	0.0472779
turbulence	0.0471628
homework	0.0471416
instinct	0.0470877
whammy	0.0470805
"cash crunch"	0.0470652
compassion	0.0469712
ineptitude	0.0468142
pizazz	0.046811
incompetence	0.0467832
bronchitis	0.0467551
"window dressing"	0.0467227
agony	0.0466968
sickness	0.0466438
"detective work"	0.0465444
Distress	0.0465416
"hard time"	0.0465205
outages	0.0465193
miscue	0.0465024
shyness	0.0464913
deflation	0.0464866
flop	0.0464017
"long shot"	0.0463758
wildness	0.0463596
discretion	0.0462672
luxury	0.0462389
miscalculation	0.0462387
hesitancy	0.0461761
sympathy	0.0460934
things	0.0460912
pitching	0.0460775
illness	0.0459251
tradeoff	0.0459028
"double standard"	0.0458387
hazard	0.0457949
mismanagement	0.0457795
complacency	0.0457343
myth	0.0457267
spacing	0.0457025
ailment	0.045642
formality	0.0456399
ups	0.0456022
keystrokes	0.0455385
Burnout	0.0455325
recklessness	0.0454236
pity	0.045336
"natural ability"	0.0453201
negativity	0.0452464
bias	0.0452235
suspense	0.0451351
novelty	0.045103
))
("bad weather" (desc 23520.6) (sims
weather	0.183769
rain	0.144031
"weather conditions"	0.138389
snowstorm	0.132937
drought	0.132699
fog	0.131424
"cold weather"	0.125811
shortage	0.115879
instability	0.110791
storm	0.109468
"hot weather"	0.109392
"heat wave"	0.102832
wind	0.101883
flood	0.100972
downpour	0.100826
Snowfall	0.100821
"power failure"	0.100749
Typhoon	0.100301
snow	0.0979116
Thunderstorm	0.0971249
slowdown	0.0968535
glitch	0.0965873
visibility	0.0961019
outages	0.0946847
rainstorm	0.0938918
famine	0.0938368
turmoil	0.0924714
"high temperature"	0.0919071
delay	0.0914335
downturn	0.0910874
rainfall	0.088921
blackout	0.0885571
blizzard	0.0873614
"economic crisis"	0.0870707
"high water"	0.0868044
"crop failure"	0.0857316
outage	0.0850813
uncertainty	0.084887
landslide	0.0845394
calamity	0.0830796
difficulty	0.0827591
"Hurricane Floyd"	0.0818639
"rough water"	0.0816154
"good weather"	0.0815355
scarcity	0.0812255
turbulence	0.0809106
"El Nino"	0.0805671
recession	0.0797027
unrest	0.0796511
congestion	0.0791494
malfunction	0.0790466
illness	0.078925
crises	0.0788913
disruption	0.0784164
crisis	0.078258
Haze	0.0780517
"flash flood"	0.0765686
disaster	0.0764588
cold	0.0740365
"red tape"	0.0739907
oversupply	0.0739366
"forest fire"	0.0733631
deterioration	0.0728708
volatility	0.0725883
sandstorm	0.0724755
"oil price"	0.0722427
Frost	0.0722245
hardship	0.0719252
injury	0.0718975
"Hurricane Georges"	0.0716259
"cloud cover"	0.0715579
upheaval	0.0714277
hailstorm	0.0714153
temperature	0.071172
crosswind	0.0710351
"health problem"	0.0709465
"soil erosion"	0.0706589
slump	0.0705675
breakdown	0.070523
failure	0.0703543
trouble	0.0703044
erosion	0.0699303
pollution	0.0693675
depreciation	0.069303
shortfall	0.0692905
confusion	0.0692844
insecurity	0.0691463
earthquake	0.0690415
disturbance	0.068794
deforestation	0.0684722
constraint	0.0677173
Depression	0.0675385
inefficiency	0.0674199
tornado	0.0673191
hurricane	0.0672695
mismanagement	0.0672487
fatigue	0.0671318
chaos	0.06688
"economic condition"	0.0667901
absence	0.0663195
mudslide	0.0662342
accident	0.0662186
poverty	0.0662107
glut	0.0661483
strife	0.066109
"air pollution"	0.0660341
degradation	0.0657863
"traffic jam"	0.0655604
"labor dispute"	0.0654765
malnutrition	0.0654561
snafu	0.0651478
unemployment	0.0647595
humidity	0.0646347
conflict	0.0643624
cloud	0.0639447
devaluation	0.0636704
shutdown	0.0635154
disagreement	0.0634051
"human activity"	0.0626564
weakness	0.0625735
"La Nina"	0.0625647
"bad luck"	0.0625384
"low temperature"	0.0625379
monsoon	0.0623572
"price increase"	0.0623213
smog	0.0623068
flooding	0.0620959
heat	0.0618832
harvest	0.0617961
layoff	0.0616686
defect	0.0614888
cyclone	0.0614257
woe	0.0612067
inability	0.0611202
crunch	0.0609735
climate	0.0609461
fighting	0.0607951
Rains	0.0606511
violence	0.0604801
traffic	0.0604112
cutback	0.0603092
catastrophe	0.0603073
terrain	0.0602882
gale	0.0600691
inflation	0.0599991
spell	0.0597493
inexperience	0.0596149
desertification	0.0593318
darkness	0.0589332
squall	0.0588714
shower	0.0587974
"food poisoning"	0.0587083
fluctuation	0.0586262
surge	0.0586202
fallout	0.0583939
epidemic	0.0581816
sleet	0.0581238
stalemate	0.0579492
sickout	0.0578587
deluge	0.0577402
"rising prices"	0.057635
intransigence	0.0573826
buildup	0.0571658
flu	0.0571213
overcapacity	0.0568673
influx	0.0566779
"production problem"	0.0566047
adversity	0.0565977
gridlock	0.0564314
bloodshed	0.0564073
infestation	0.0561511
tension	0.0561115
ailment	0.0560201
spill	0.055823
"work stoppage"	0.0557959
infection	0.0556909
lockout	0.0556812
"interest rate"	0.0555766
pest	0.0555508
precipitation	0.0555294
hunger	0.0554239
wrangling	0.0554008
bickering	0.0552889
drizzle	0.054998
eruption	0.0549844
lightning	0.0548888
gust	0.0546068
profit-taking	0.0545064
tendinitis	0.0543865
blockade	0.054359
"cost overrun"	0.054343
outbreak	0.0543416
explosion	0.0543111
tragedy	0.0543036
cancellation	0.0542503
leak	0.0540939
deficiency	0.0539681
stagnation	0.053884
rationing	0.0536707
sabotage	0.0536043
))
(badge (desc 25592.1) (sims
insignia	0.0946215
sticker	0.0930141
emblem	0.0896733
T-shirt	0.0886918
ribbon	0.0873791
pin	0.0866271
armband	0.0864505
plaque	0.0845409
uniform	0.0823752
stamp	0.0815876
wristband	0.0804211
card	0.0790993
scarf	0.0787496
hat	0.0776921
certificate	0.0774634
button	0.077433
flag	0.0771715
beret	0.0762311
logo	0.0759823
"name tag"	0.0744874
tag	0.0742182
shirt	0.0741211
poster	0.0733275
jersey	0.0729472
banner	0.072689
sunglasses	0.0725556
placard	0.0725185
Coin	0.0724424
headband	0.072397
collar	0.0721192
vest	0.0717963
bracelet	0.0715274
ID	0.0714964
"baseball cap"	0.0711529
"license plate"	0.0709434
jacket	0.0708468
helmet	0.0705893
"driver's license"	0.0701517
sweatshirt	0.0697016
jewelry	0.0695711
decal	0.0690136
medallion	0.0682591
passport	0.0680138
shoe	0.0674663
symbol	0.0659963
knickers	0.065812
sneaker	0.0644612
sweater	0.0643343
"birth certificate"	0.0637268
"identity card"	0.062609
mask	0.0625475
sleeve	0.0623472
bandanna	0.0616379
pistol	0.0615224
"postage stamp"	0.0615169
jumpsuit	0.061274
stripe	0.0611063
postcard	0.0609821
diploma	0.0603711
sword	0.0602758
necktie	0.059814
necklace	0.0593664
souvenir	0.0593501
"leather jacket"	0.059013
windbreaker	0.0589838
"business card"	0.0585204
"piece of paper"	0.0584581
coverall	0.0581608
password	0.0579352
credential	0.0579258
gun	0.0576689
pant	0.0575963
bunting	0.0575605
robe	0.05728
handbag	0.0570264
stationery	0.0566602
"membership card"	0.056301
trophy	0.0562348
doll	0.0562312
cap	0.0561644
apron	0.0560429
shawl	0.0556869
photograph	0.0556382
earring	0.0553298
seal	0.0553277
sandal	0.0552005
wristwatch	0.0546294
"bulletproof vest"	0.0545898
pen	0.0545139
slipper	0.05439
cloth	0.0543564
ornament	0.0542573
"boarding pass"	0.0541053
Clothing	0.0536813
notebook	0.0536663
smock	0.053615
trinket	0.0534156
microphone	0.0531186
trouser	0.0531053
goggles	0.0529825
blouse	0.0528531
"life jacket"	0.0528252
streamer	0.0527291
coat	0.0526982
"blue jean"	0.0525549
accessory	0.0524149
skirt	0.0523707
flower	0.0522397
"ticket stub"	0.052196
"teddy bear"	0.0520226
marker	0.0520154
bag	0.0519714
bead	0.0519643
knife	0.0518982
glove	0.0518322
lantern	0.0518296
tattoo	0.0515134
wallet	0.0515123
rifle	0.0513601
quilt	0.0513432
"Star of David"	0.0512897
Sash	0.051234
mug	0.0511279
crucifix	0.0510899
underwear	0.0510848
"greeting card"	0.0510684
"credit card"	0.0510555
envelope	0.0509745
identification	0.0507701
boot	0.0506966
Banknote	0.0506844
licence	0.0506778
"Social Security number"	0.0506663
"cowboy hat"	0.0505912
statue	0.0505745
parka	0.0504075
"trench coat"	0.0502958
"bow tie"	0.0502894
object	0.0502809
"polo shirt"	0.0502332
memorabilia	0.0501032
sock	0.0498409
paraphernalia	0.0498299
token	0.0497589
wig	0.0496426
"baseball card"	0.0495556
"coffee mug"	0.0492383
decoration	0.0486357
tool	0.0486156
flier	0.0484884
gadget	0.0484669
knapsack	0.048271
leaflet	0.0482686
bib	0.0480806
ticket	0.0480563
"walking stick"	0.0480493
candle	0.0480344
balloon	0.047936
gloves	0.0478473
item	0.0478316
map	0.0475223
glass	0.0474021
bra	0.0473727
costume	0.0472768
gown	0.0472691
visor	0.0472492
backpack	0.0472396
brooch	0.0471891
belt	0.0471096
tape	0.046972
"national flag"	0.046971
mascot	0.0468712
headdress	0.0467384
patch	0.0467068
jean	0.0466931
toy	0.046652
"musical instrument"	0.0466362
hair	0.0465284
baton	0.0464766
embroidery	0.0464408
memento	0.0463627
turban	0.0462843
bandana	0.0461661
medal	0.0459665
bikini	0.045966
sheet	0.0459254
"official document"	0.0458988
scar	0.0457797
motherboards	0.0457427
brochure	0.0456286
crosse	0.0455587
eyeglass	0.0454369
pendant	0.0453184
"calling card"	0.045251
wreath	0.0451292
pencil	0.0450845
kit	0.0450518
camera	0.045022
purse	0.0449071
carnation	0.0448914
))
(badger (desc 7527.54) (sims
Jayhawks	0.182025
Boilermakers	0.177918
gamecock	0.172157
Hawkeyes	0.167286
"Tar Heels"	0.164123
wildcat	0.162516
Gators	0.160272
Sooners	0.159697
Cornhusker	0.159596
"Crimson Tide"	0.159394
Huskers	0.15403
gopher	0.153435
Wolverine	0.149504
buckeye	0.14684
Trojan	0.145556
"Scarlet Knights"	0.142605
bearcat	0.14003
terrapin	0.139281
"Red Storm"	0.138463
Seminoles	0.137011
Longhorn	0.136999
Hokies	0.136798
bulldog	0.134356
Razorback	0.133877
husky	0.133615
cougar	0.132087
Wolfpack	0.130928
Vols	0.130122
NAU	0.126418
"blue devil"	0.126374
Spartan	0.125731
matador	0.125379
"yellow jacket"	0.125341
"Golden Hurricane"	0.123893
Minutemen	0.123292
Illini	0.121337
Lobos	0.118615
"Horned Frogs"	0.118586
Bucs	0.117752
bruin	0.117399
"Red Raiders"	0.117341
Aggies	0.115769
"Nittany Lions"	0.115554
Hoosier	0.114675
BEARS	0.114151
Stephenville	0.110002
"Fighting Irish"	0.108953
K-State	0.106246
owl	0.106206
"Old Dominion"	0.104694
Sonics	0.104415
Utes	0.104321
bronco	0.104249
Steelers	0.104215
Eagles	0.104026
CSUN	0.102465
Starzz	0.101802
Pepperdine	0.101189
beaver	0.101147
BUCCANEER	0.100099
"Iowa State"	0.099998
Bengals	0.0997463
Buffaloes	0.0997381
Gonzaga	0.0990686
"Kansas State"	0.0989116
ASU	0.0986916
Hoya	0.098264
Sparks	0.0974889
BYU	0.0973869
Timberwolves	0.0961847
Seahawks	0.095587
grizzly	0.0948246
Springbok	0.0945274
"Ohio State"	0.0944487
"Texas longhorn"	0.0942168
Rutgers	0.0940282
falcon	0.0937285
niner	0.0933582
USC	0.0931818
"Mississippi State"	0.0931003
UConn	0.0929058
"Penn State"	0.0924461
MSU	0.0923814
sixer	0.0914731
cavalier	0.0914058
charger	0.0913257
"Georgia Southern"	0.0912498
UCLA	0.0911402
LSU	0.091088
OSU	0.0901151
Raven	0.0901063
Redskin	0.0897168
"Michigan State"	0.0891987
dolphin	0.0884975
"Phenix City"	0.0884853
"Oregon State"	0.0882547
"Florida State"	0.0880582
oiler	0.0879364
UMass	0.0875371
"Dallas Cowboys"	0.0874244
RedHawks	0.0873024
Supersonics	0.0871927
panther	0.0871923
Purdue	0.0869222
"Virginia Tech"	0.0866887
Viking	0.0860471
ram	0.0854193
Wisconsin	0.085341
TCU	0.0851729
pacer	0.0850838
"Texas Tech"	0.0847796
bobcat	0.0845567
coyote	0.0845145
"Southwest Missouri State"	0.0844642
MetroStars	0.0843622
"St. Louis Rams"	0.0842337
blazer	0.08416
Rattler	0.0840343
Lehigh	0.0838379
"Arkansas State"	0.0838368
"Trail Blazers"	0.0832806
maverick	0.0831191
"ATLANTA FALCONS"	0.0827213
packer	0.0826095
sabre	0.0821903
Giants	0.0819097
"Oklahoma State"	0.081776
"Ji Xinpeng"	0.0817075
"Maple Leafs"	0.081606
Orangemen	0.0810993
raccoon	0.0810375
cardinal	0.0809795
cowboy	0.0808783
"Red Wings"	0.0808664
"Boston College"	0.0807243
Cavs	0.0803336
patriot	0.0800332
Clemson	0.0798244
SMU	0.0798091
Villanova	0.079561
"Van Roost"	0.0795114
"Arizona State"	0.0794691
Canuck	0.0794675
FSU	0.0792747
Cal	0.0792217
UNT	0.0790436
"Franco Squillari"	0.0790192
raider	0.0789698
Xavier	0.0789403
Hofstra	0.0789012
Lakers	0.0788364
muskrat	0.0785943
Raptor	0.0784374
"Minnesota Vikings"	0.0781801
Jaguar	0.0778261
UAB	0.0778135
"Tennessee Titans"	0.077558
Hornet	0.0770136
Tulane	0.0769794
duck	0.076708
Evansville	0.0763638
"Chris Woodruff"	0.0759402
Canadiens	0.0758564
Syracuse	0.075606
"American Chanda Rubin"	0.0755974
titan	0.0755046
"Notre Dame"	0.0753738
lumberjack	0.07519
tech	0.0750258
Celtics	0.0749853
Baylor	0.0747697
"Louisiana Tech"	0.074047
devil	0.0740181
"Adrian Voinea"	0.0739249
"Los Angeles Galaxy"	0.0739011
Testud	0.0736375
Seahawk	0.0736258
hawk	0.0735603
"Montana State"	0.0733889
Knicks	0.0733303
Ferreira	0.0732017
BC	0.0729074
Huber	0.0727895
"Denver Broncos"	0.0726719
"Philadelphia Eagles"	0.0726244
"N.C. State"	0.0726162
"Sarah Pitkowski"	0.0723214
"Green Bay"	0.072288
piston	0.0721546
Av	0.072092
Capriati	0.0719081
comet	0.0718072
"Appalachian State"	0.071608
"Colorado State"	0.0715833
"St. Bonaventure"	0.0715122
Moya	0.0712658
Stanford	0.0710667
clipper	0.0710282
ou	0.0709436
tiger	0.0709109
))
(Badillo (desc 786.519) (sims
Fabius	0.127164
Kesri	0.107855
Ivester	0.10511
Bettman	0.102097
Arens	0.0989294
Meissner	0.0983702
Lautenberg	0.0957302
Yastrzhembsky	0.094957
Schottenheimer	0.093856
Dodik	0.092158
Lundberg	0.090574
Rylander	0.0871957
Aoki	0.0864387
Mandelson	0.0836845
Vollebaek	0.0833164
Schaeuble	0.0828682
Hybl	0.0828539
Bochy	0.0816685
"Jim Harrick"	0.0779613
Milbury	0.0777004
Kassirer	0.077589
Eizenstat	0.0757721
Isakson	0.075527
Lowey	0.0750217
Danner	0.0749494
Brazile	0.0736005
Mowlam	0.0732947
SEABROOK	0.0730058
Posner	0.0725907
Chevenement	0.0725678
Vasile	0.0723936
Ozawa	0.071686
Ota	0.0710453
Prewitt	0.0705197
Guthridge	0.0704896
Sampson	0.0702734
Bishara	0.0700986
Swenson	0.0698447
Toomer	0.0692248
Zeroual	0.0689628
Majko	0.0685561
Maldini	0.0683885
ABSA	0.0681395
Zuckerman	0.0674901
"De Klerk"	0.0674099
Yazdi	0.0673236
Bragman	0.0673181
Cavallo	0.0672906
Szabo	0.0672797
Yosef	0.0669748
Banzer	0.0669001
Preval	0.0668284
Berlusconi	0.066373
Marineau	0.0661573
Schippers	0.0660981
Solich	0.0660377
HCFA	0.06594
Zambrano	0.0656734
Villanueva	0.0653144
Barrie	0.0647573
Draskovic	0.0646202
Fiorina	0.0645632
Kerasiotes	0.0644405
Krstic	0.0643357
Weizman	0.0641902
Menino	0.0640339
Haider	0.0633184
Safir	0.0631808
Jonah	0.0630032
Samper	0.0629008
Stepashin	0.0627912
Neff	0.062754
Hoke	0.0626142
LaPierre	0.0625514
Lamont	0.0622935
Westphal	0.0620333
Skuratov	0.0618924
Gephardt	0.0614472
Stepinac	0.0613986
Margolis	0.0613345
Neilson	0.0612925
Teresi	0.0612331
D'Alessandro	0.0612251
Kurtz	0.0612082
Jett	0.0611148
Fordice	0.0610598
Newhouse	0.060951
Saleh	0.060921
Gwen	0.060857
Maskhadov	0.0607944
Seselj	0.0606746
McIntosh	0.06067
Moseley-Braun	0.0603874
Rothenberg	0.0601673
Grachev	0.0601298
Zenga	0.0600412
Walser	0.0600189
Ftorek	0.0599423
Hazen	0.0598393
Koirala	0.0598155
Constantine	0.0598041
Grassley	0.0597094
Wiatt	0.0596454
McLane	0.0595601
Nebiolo	0.0595485
Deri	0.0594919
PBSI	0.0591767
Hodler	0.0589583
Sponeck	0.0588307
"U.S. Commerce Department"	0.0588063
Gilman	0.0587561
Coelho	0.0586676
Wagoner	0.0586154
Bassett	0.0584992
Hiddink	0.0584285
Asda	0.0583022
Joklik	0.0582935
Khomeini	0.0580751
Connerly	0.0580305
McNulty	0.0579309
Soros	0.0578486
"Investors Service"	0.0575486
Warnaco	0.0575479
Salazar	0.0574472
Constantinescu	0.0574007
Murayama	0.05738
Norstrom	0.0573694
Bogle	0.0573201
Lungren	0.0572892
UAL	0.0571565
Daimler	0.0570391
Willard	0.0570235
Cha	0.0567523
Iger	0.0566792
Warshaw	0.0566384
FAIRCLOTH	0.0566245
"Bank of Canada"	0.056396
Thatcher	0.0562467
Schlessinger	0.0561987
Villar	0.0558843
Jayalalitha	0.0556976
Moynihan	0.055632
"Tom Osborne"	0.0554224
Platt	0.055371
Koehler	0.0553568
Salas	0.0552773
Glickman	0.0546827
Artest	0.0546124
Popovich	0.0545066
"U.S. Defense Department"	0.0545056
Tuttle	0.0544759
Buzek	0.0543715
Tsvangirai	0.0543104
Jovanovic	0.0543024
Greenwald	0.0541712
Chafee	0.0541669
Gifford	0.0541234
Sassa	0.0541151
Wolfson	0.0540534
"Donna Shalala"	0.0539063
"Reed Elsevier"	0.0538509
Stossel	0.0536377
Carollo	0.053516
Mineta	0.0534372
Chavalit	0.0534329
Duisenberg	0.0533514
Harshbarger	0.0532814
Bambang	0.0531415
Johansson	0.0530945
Beazley	0.053068
"Bank of Italy"	0.0530329
Switzer	0.0530158
Cline	0.0530023
Trulock	0.0529633
Farrakhan	0.0528758
Wellstone	0.0528587
Cronin	0.0528389
Sherrill	0.0526929
Cowens	0.0525943
Kornberg	0.0525693
Boehner	0.0525691
Bolger	0.052555
"Vladimir Meciar"	0.0524628
Osborne	0.0524606
Seifert	0.0523408
Ponciano	0.0522168
Irvan	0.0522079
McKeon	0.0521984
Koroma	0.0521367
Gullikson	0.0521009
Pearce	0.0520831
Sharansky	0.0518695
Luca	0.0518266
Khai	0.0516682
Hearn	0.0515642
Rongen	0.0515163
Hawke	0.0515143
Shahak	0.0513198
Bratton	0.0512706
Prueher	0.0512468
))
(Badlands (desc 2171.79) (sims
moonscape	0.0610449
flatlands	0.0567404
"West Lake"	0.0566948
chaparral	0.0557078
"Black Hills"	0.052678
"Summer Palace"	0.0493913
marshland	0.0487817
"E Street Band"	0.0484576
fjord	0.0473755
"L.A Confidential"	0.0470938
"Hernan Gumy"	0.0466342
"Carlos Menem"	0.0458882
self-portraits	0.044917
outback	0.0445499
"Florencia Labat"	0.0444774
"Lijiang River"	0.0437707
"stage set"	0.043374
"Franco Squillari"	0.0428427
gunslinger	0.0416712
"Paola Suarez"	0.0415121
Sahara	0.0413036
"Yellowstone National Park"	0.0405686
"Mariano Zabaleta"	0.04052
))
(Badme (desc 3671.74) (sims
Jezzine	0.149613
Decani	0.149555
Gulu	0.124376
Nabatiyeh	0.112739
Mankulam	0.10621
Brcko	0.105359
Drenica	0.10491
Warri	0.104371
"Golden Triangle"	0.103927
"Syrian Golan Heights"	0.103025
"Suva Reka"	0.102692
Kilinochchi	0.102623
Lhokseumawe	0.101859
Kitgum	0.0995678
Podujevo	0.0983122
Urus-Martan	0.0981894
Assab	0.0953697
Jaffna	0.0945054
Makeni	0.0942952
Junik	0.0941637
Kargil	0.094122
Posoltega	0.0925451
Malisevo	0.0919704
Bukavu	0.0918823
Batticaloa	0.0917418
"Eastern Slavonia"	0.0916832
"Abu Dis"	0.0903709
Gudermes	0.086508
"Rift Valley Province"	0.0863518
Nagorno-Karabakh	0.0857459
Bamiyan	0.085694
"Niger Delta"	0.0844906
Izmit	0.0844472
"Kuril Islands"	0.084277
Mitrovica	0.0841345
Tigray	0.083336
Arua	0.0832227
Sylhet	0.082856
Jenin	0.0825456
Hebron	0.0818523
Baidoa	0.081421
Charikar	0.0810899
Taloqan	0.0809609
Abkhazia	0.0807172
Kisangani	0.0804121
"Kosovo Polje"	0.0800969
Matadi	0.0796968
Prizren	0.0796103
"Pearl River Delta"	0.0793529
Zhangbei	0.0793243
Bundibugyo	0.0789784
Paranthan	0.078845
Golan	0.0786149
"West Bank"	0.0785718
Marjayoun	0.0776187
"Golan Heights"	0.0768345
Bekaa	0.0767687
Urosevac	0.0758254
Vavuniya	0.0752234
Vedeno	0.0750398
Golcuk	0.0749369
"East Jerusalem"	0.0745934
Zhongguancun	0.0738719
Khabarovsk	0.0737236
peninsula	0.0731069
Khulna	0.0730035
Belacevac	0.0727395
Nago	0.0726696
Tachilek	0.0725314
Cabinda	0.0722692
Shali	0.071932
Ballymoney	0.0716173
"Garvaghy Road"	0.0715433
Rafah	0.0708485
Lijiang	0.0707985
Argun	0.0707983
Mbale	0.0706805
CHT	0.0705426
Limassol	0.0704757
Orahovac	0.0702793
Larnaca	0.0700837
Srbica	0.069865
"Iglim Al-Toffah"	0.0697885
"Yangtze River Delta"	0.0696977
"Elephant Pass"	0.0696634
Paphos	0.069575
Pancevo	0.0694266
"Western Sahara"	0.0691453
"Arab East Jerusalem"	0.0690841
Baalbek	0.0683233
"Arab-Israeli War"	0.068286
Bazar	0.0682167
Kashmir	0.0680977
Kijevo	0.0680824
PEC	0.067331
Kindu	0.0671436
"South Lebanon"	0.0670685
Pailin	0.066666
Kabwe	0.0665034
"Big Sur"	0.0662968
Mostar	0.066006
Kismayu	0.0657749
Bund	0.0647857
Jasper	0.0647698
Moyo	0.0645552
Kasese	0.0643284
Mbarara	0.0642571
Mina	0.0641416
Prijedor	0.0639368
"Chittagong Hill Tracts"	0.0639119
Ramallah	0.0637736
Petersburg	0.0637735
Zhangjiakou	0.0635339
Grozny	0.0632115
Luzon	0.0629392
Galilee	0.0626674
Gisenyi	0.0624636
Djakovica	0.0620485
Trincomalee	0.061932
Waterville	0.0618843
"Jordan Valley"	0.0616436
Rajshahi	0.0614349
Vukovar	0.0613519
Kukes	0.0611978
Uvira	0.0611924
Chiapas	0.0610353
"Bakassi Peninsula"	0.0610337
Nunavut	0.0608762
"Rocky Mountain"	0.0608027
Sinai	0.0607745
lowland	0.0606123
"Dead Sea"	0.0604417
reef	0.0598427
"national capital"	0.0596482
Kitwe	0.0590622
Dundalk	0.0588622
Kenema	0.0587771
Moshi	0.058496
"Falkland Islands"	0.0584289
Nakuru	0.0582682
"Holy City"	0.058
Mogadishu	0.057886
Juba	0.0576539
Jammu	0.0575808
"Baltic Sea"	0.0573709
Ruhengeri	0.0568662
Wallingford	0.0568582
"Puget Sound"	0.0567765
plateau	0.0567471
Dagestan	0.0566576
"Kosovska Mitrovica"	0.0560192
Buckhead	0.0558775
"West Timor"	0.0556018
"Western Pacific"	0.0553749
"Metro Manila"	0.055294
Beersheba	0.0550344
"South China Sea"	0.0549393
"Del Rio"	0.0548845
midland	0.0546226
Algiers	0.0545204
Caucasus	0.054479
Bure	0.0538887
Kalemie	0.0537536
subdistrict	0.0536297
Ambon	0.0536257
Haifa	0.0535954
Medina	0.0534877
Nablus	0.0533637
Andulo	0.053117
hilltop	0.0530038
Daghestan	0.0529521
Midrand	0.0528748
Kailahun	0.0528174
"Victoria Falls"	0.0525578
"Beibu Gulf"	0.0525247
Aceh	0.0520988
Bethlehem	0.0520507
Crimea	0.0520202
"continental shelf"	0.0519081
Bengkulu	0.0517209
Goma	0.0513764
Kizlyar	0.051202
Youngstown	0.0509308
Caprivi	0.0509175
Atambua	0.050589
Catalonia	0.0505879
"Grand Central"	0.0505329
Buldon	0.0503603
Kismaio	0.0502074
Srebrenica	0.0497808
"Novi Sad"	0.0497667
"Myrtle Beach"	0.0497567
"Anlong Veng"	0.0496492
airbase	0.0495541
Putumayo	0.049403
Cordova	0.0492599
Mosul	0.049122
"free port"	0.0489147
"Potsdamer Platz"	0.0487378
Weimar	0.048707
))
(badminton (desc 11709.5) (sims
"table tennis"	0.360671
"water polo"	0.336333
judo	0.318143
weightlifting	0.312585
"field hockey"	0.300973
archery	0.287547
volleyball	0.28521
taekwondo	0.267037
Gymnastics	0.257217
rowing	0.255089
handball	0.25155
"track and field"	0.247985
cycling	0.232057
softball	0.227773
swimming	0.224905
pentathlon	0.214607
triathlon	0.208061
fencing	0.199802
athletics	0.19122
Wushu	0.191109
Yachting	0.189769
tennis	0.189219
equestrian	0.188726
karate	0.187514
boxing	0.183845
"figure skating"	0.18336
Rugby	0.182985
"ice hockey"	0.171875
Bowling	0.171328
billiards	0.170458
wrestling	0.169325
soccer	0.168789
takraw	0.167453
snooker	0.161344
diving	0.146171
"Uber Cup"	0.145814
basketball	0.143512
squash	0.142656
lacrosse	0.132001
chess	0.130714
"Fed Cup"	0.127433
hockey	0.122664
men's	0.117395
golf	0.11513
cricket	0.114911
"World Championship"	0.114723
"Sudirman Cup"	0.10833
under-@@	0.107778
epee	0.106969
EuroLeague	0.106646
Skating	0.105068
skeet	0.104245
"Japan Open"	0.10183
skiing	0.101367
backstroke	0.0996515
football	0.0995396
"Federation Cup"	0.0987101
freestyle	0.0973081
dressage	0.0963139
"professional football"	0.0959596
"European Cup"	0.09498
Heptathlon	0.0946002
"shot put"	0.0942674
"round robin"	0.0935578
netball	0.0904807
"American football"	0.089068
"Thomas Cup"	0.0887781
"Copa America"	0.088152
shuttler	0.0878321
decathlon	0.086761
"Pan Ams"	0.0865161
biathlon	0.0855605
scull	0.0855545
"horse racing"	0.0852709
"Kremlin Cup"	0.0850558
"Davis Cup"	0.0847789
"Little League World Series"	0.0847488
bodybuilding	0.0846808
steeplechase	0.0845965
croquet	0.084257
ATP	0.084002
"League Cup"	0.0839902
breaststroke	0.083217
"high jump"	0.0830701
"pole vault"	0.0830624
"National Invitation Tournament"	0.0828401
"Davis Cup World Group"	0.0827739
"Hopman Cup"	0.0817801
snorkeling	0.080569
luge	0.080168
"Asian Cup"	0.0798098
"professional basketball"	0.0792854
"Atlanta Olympic"	0.0790491
"Gold Cup"	0.0790463
"long jump"	0.0784305
Polo	0.0782449
"ATP Tour"	0.0780818
"swimming event"	0.0777631
"roller skating"	0.0776002
"Italian Open"	0.0775493
"cross country"	0.0774208
"Champions Cup"	0.0770555
medley	0.0769193
"Dunhill Cup"	0.0766401
"Hong Kong Open"	0.0766184
"horseback riding"	0.0761895
Super-G	0.0758629
"U.S. Amateur"	0.0758301
"Euro @@@@"	0.0758163
relay	0.0756709
"World League"	0.0754416
"match play"	0.0752497
WTA	0.073855
"College World Series"	0.0736544
"Canadian Open"	0.073576
"Funny Car"	0.0732999
"Solheim Cup"	0.0732014
hardcourt	0.0729777
"African Nations Cup"	0.072838
three-meter	0.0728367
"Pan Pacific"	0.0721506
shuttlers	0.0721179
"Acura Classic"	0.071716
"hammer throw"	0.0712588
flyweight	0.07122
"WTA Tour"	0.0708473
CONCACAF	0.0706105
"Grand Slam Cup"	0.0704973
"European Champions League"	0.0703444
"Hamlet Cup"	0.0701552
"Big Sky Conference"	0.0698166
"ballroom dancing"	0.0696564
pre-Olympic	0.069646
"Swiss Open"	0.0696306
bobsled	0.0683745
marathon	0.0683652
"Southwest Conference"	0.0682518
"Asian Games"	0.0681993
"Australian Open"	0.0678429
"United States Open"	0.0678333
"Atlantic Coast Conference"	0.0677282
"professional golf"	0.0675694
"pommel horse"	0.0669315
sailing	0.0669051
"Division @"	0.0668419
cruiserweight	0.066762
skateboarding	0.0666845
javelin	0.066345
springboard	0.066328
Asiad	0.0662176
"Pan American Games"	0.0661795
"Skate America"	0.06602
"West Regional"	0.0659048
"US Open"	0.0659005
"Nations Cup"	0.0658296
"mountain climbing"	0.0657414
"Commonwealth Games"	0.0655563
"stroke play"	0.065525
sumo	0.06541
slalom	0.0652266
"Top Fuel"	0.0649026
"professional baseball"	0.0647968
"three-day event"	0.0646313
"FA Cup"	0.064603
"Louis Vuitton Cup"	0.06459
Racing	0.0644505
WCC	0.0644312
"junior lightweight"	0.0643774
"Italian League"	0.0642765
WNBA	0.0640204
Frisbee	0.0636943
halfpipe	0.0636719
"won nine"	0.0635488
aerobics	0.0635176
"World Cup"	0.0635115
"Division I-AA"	0.0633462
"horizontal bar"	0.0632805
"ice skating"	0.0631799
"Italian Cup"	0.062666
bantamweight	0.0625577
"Maurier Open"	0.0624366
Lipton	0.0622935
"basketball league"	0.0618154
butterfly	0.0617151
bicycling	0.0614632
"UEFA Cup"	0.0614328
Maurier	0.0611848
"Grand Prix"	0.0611075
"Sydney Olympic"	0.0610773
"Big Sky"	0.0610145
"F.A Cup"	0.0604453
"Big West"	0.060096
"European Championship"	0.0600181
"Champions League"	0.0599301
Universiade	0.0597234
"Libertadores Cup"	0.0595936
"Midwest Regional"	0.0591749
"World Group"	0.0591707
"Big East"	0.0590633
boating	0.0590061
))
("Badminton Association of Indonesia" (desc 1102.43) (sims
"National Sports Council"	0.247271
PBSI	0.16691
KONI	0.14559
"Indonesian Armed Forces"	0.144743
"Indonesian Military"	0.132162
"Association for Relations Across"	0.11205
"Nevada Athletic Commission"	0.104741
"China Youth Development Foundation"	0.103086
"International Badminton Federation"	0.101701
"Olympic Council of Asia"	0.101447
"Commonwealth Ministerial Action Group"	0.0995383
"U.S. Immigration and Naturalization Service"	0.0964412
"House Budget Committee"	0.0963767
"Bank of Israel"	0.0960504
"Organisation of African Unity"	0.0907691
"China Securities Regulatory Commission"	0.0902447
"United Nations Conference on Trade and Development"	0.0902156
"General Committee"	0.0899237
BOI	0.088502
"Senate Appropriations Committee"	0.0884772
"Supreme Soviet"	0.087802
"Defense Agency"	0.086524
"Commission on Elections"	0.0864419
"Straits Exchange Foundation"	0.0863692
"China Society"	0.0862255
"State Peace and Development Council"	0.0861278
"Common Market for Eastern and Southern Africa"	0.0860822
"Beijing Municipal Government"	0.0853252
"Nahdlatul Ulama"	0.0850097
"Russian Communist Party"	0.0836039
"Congress (NPC) Standing Committee"	0.0836015
"Organization of Petroleum Exporting Countries"	0.0832878
"Senate Governmental Affairs Committee"	0.0831339
shuttlers	0.0828921
"U.S. Soccer Federation"	0.082831
Swazi	0.0823097
"Organization of Islamic Conference"	0.0805289
"Democratic Congressional Campaign Committee"	0.0788033
"Health and Welfare Ministry"	0.0783084
"National Republican Congressional Committee"	0.0782733
"French Foreign Ministry"	0.0775802
"Ninth CPPCC National Committee"	0.0773909
"Great Hural"	0.0773276
"Chinese Olympic Committee"	0.0768506
"World Jewish Congress"	0.0768271
"Board of Investment"	0.076292
"Bank Indonesia"	0.0761081
"Securities Industry Association"	0.0756832
"House International Relations Committee"	0.0754293
"Senate Budget Committee"	0.075073
"House Appropriations Committee"	0.0742579
CMAG	0.0741117
MII	0.0738879
CSRC	0.0736564
"State Law and Order Restoration Council"	0.0733549
NSC	0.07316
"Central Bureau of Investigation"	0.072311
SPP	0.0721318
ARATS	0.07191
Mattysse	0.0718436
"Democratic Senatorial Campaign Committee"	0.0718274
shuttler	0.0717134
"Football Association"	0.0716373
"Supreme Council"	0.0710395
"Turkish Foreign Ministry"	0.0707964
DeFrantz	0.0704083
"Hyundai Group"	0.0697099
Counsell	0.0695045
"Senate Commerce Committee"	0.0694593
KPU	0.0692697
CIRC	0.0692467
"Commerce Committee"	0.0688148
"World Tourism Organization"	0.0687664
"ethics committee"	0.0686939
"Monetary Policy Committee"	0.0681653
"executive agency"	0.0679142
"Ways and Means Committee"	0.0678377
"China Council"	0.0678252
"Tourism Authority of Thailand"	0.0677901
"Caribbean Community"	0.0673335
"Xinhua News Agency Hong Kong Branch"	0.0669155
"Ministry of Science"	0.066542
"Russian State Duma"	0.0664553
"National Abortion and Reproductive Rights Action League"	0.0661159
"National Electoral Commission of Nigeria"	0.0658401
"Joint Military Commission"	0.0656298
"Kenya African National Union"	0.0655628
Baerga	0.0655488
"Cendant Corp."	0.0655188
"Reserve Bank of India"	0.0652582
"National League for Democracy"	0.0651041
"Association of Flight Attendants"	0.0650168
"Indonesian Democratic Party"	0.0640713
"South Pacific Forum"	0.0639998
ACFTU	0.0635549
"Central Bureau of Statistics"	0.0632873
"Agriculture Ministry"	0.0632431
"Senate Finance Committee"	0.0632318
"Independent Electoral Commission"	0.0631116
"Liberation Movement"	0.0630629
"Boeing company"	0.0630235
"Inter-Parliamentary Union"	0.0629216
"Organizing Committee"	0.0627236
"National Election Committee"	0.0626563
"NPC Standing Committee"	0.0626419
"Congressional Black Caucus"	0.0626301
"New Aspiration Party"	0.0623874
"Central Military Commission"	0.0622484
"Australian Olympic Committee"	0.0620405
"Shanghai Municipal Government"	0.0619753
ZCTU	0.0618797
"Home Secretary"	0.0618559
ICA	0.0616433
"Dow Jones &AMP; Co."	0.0615913
"Philippine Central Bank"	0.061291
"Macao Government"	0.0612492
"Banking Committee"	0.0611643
"House Government Reform Committee"	0.0611156
"Iranian Foreign Ministry"	0.0606617
"governing board"	0.0606469
CAF	0.0606228
CMC	0.0605242
"Culture Ministry"	0.0602876
"United Malays National Organization"	0.0602383
"Enron Corp."	0.0601225
"Times Co."	0.0600266
"State Flood Control"	0.0600059
"Olympic Committee"	0.0599689
drugmakers	0.0599653
"Funcinpec Party"	0.059964
Zarb	0.0599088
"World Meteorological Organization"	0.0597414
"Executive Committee"	0.0597135
"International Committee"	0.0596737
"Transparency International"	0.0595635
"All-China Youth Federation"	0.0593814
"Ministry of International Trade and Industry"	0.0593406
Kerik	0.0593113
Brazile	0.0592371
Tauzin	0.0592316
TVM	0.0591655
Pt	0.0591341
"United Development Party"	0.0591255
"New York Times Co."	0.0589977
"Nevada State Athletic Commission"	0.0589305
"National Committee"	0.0588769
"Federal Reserve Board"	0.0588475
"Revolutionary Party"	0.0587466
"municipal government"	0.0587165
Loretta	0.0586407
"Housing Authority"	0.0584695
"China National Tourism Administration"	0.0584582
"Air Line Pilots Association"	0.0581557
NCEC	0.0581414
EBRD	0.0581166
AFA	0.0580983
Tat	0.0580955
"Appropriations Committee"	0.0580274
"Nuclear Regulatory Commission"	0.0580201
HKTA	0.0579546
"Industry Ministry"	0.0579302
"Council of Ministers"	0.0579097
"U.S. Defense Department"	0.0578736
"Federal Deposit Insurance Corp."	0.0577353
SEF	0.0576664
"Congress Working Committee"	0.0576417
"Independent National Electoral Commission"	0.0576133
"Ministry of Labor"	0.0574304
"Islamic Development Bank"	0.0573998
"Public Service Commission"	0.0573995
Pustovoitenko	0.0573055
SCLC	0.0571526
Nevin	0.0571393
CPAFFC	0.0571315
IAAF	0.0570792
Eximbank	0.0569805
"House Commerce Committee"	0.0569046
"Universal Postal Union"	0.0567996
JP	0.0567639
"Ninth National Committee"	0.0567327
"Organization for Economic Cooperation and Development"	0.0567018
"British government"	0.0566941
radiology	0.0566826
"Red Cross Society"	0.0565001
"United Nations Conference"	0.0564464
Jaffe	0.0564378
"Consultative Assembly"	0.0564261
AFL-CIO	0.0563428
AmCham	0.0563304
"Levi Strauss &AMP; Co."	0.0562128
"Parades Commission"	0.0562083
"Zimbabwe African National Union-Patriotic Front"	0.0561087
"Rwandan Patriotic Front"	0.0558792
"National Awakening Party"	0.0558011
Rodionov	0.0555589
"Foreign Relations Committee"	0.0555535
"Central Commission for Discipline Inspection"	0.0555411
CNTA	0.0552958
"Zapatista National Liberation Army"	0.0552931
"Cuban American National Foundation"	0.0552877
))
(Bae (desc 1140.34) (sims
"British Aerospace"	0.141711
Lagardere	0.139086
ACB	0.117107
ENTERGY	0.108813
Gilead	0.103952
IAI	0.102369
F.A	0.0997171
CSC	0.0984812
Litton	0.0963147
Starwood	0.0913057
Dasa	0.089679
AHP	0.0876905
"China Airlines"	0.0867886
Asda	0.0855223
McKesson	0.0851096
GEC	0.0835751
Albertson's	0.0835151
Fuji	0.0835143
Cabletron	0.0832787
Dresdner	0.0829296
Norwest	0.0825452
REIT	0.0822826
Goodrich	0.0818743
AIG	0.0818386
"Aerospatiale Matra"	0.0817164
"KCP&AMP;L"	0.0814507
SPS	0.0808597
SGI	0.0805426
UBS	0.0800086
UTC	0.079917
"Pacific Century"	0.0793532
"National Grid"	0.0784641
SAA	0.0779406
SAirGroup	0.0770642
"Australian Cricket Board"	0.0769308
Fiedler	0.0764452
Denel	0.0760542
Stratus	0.0756407
Scientific-Atlanta	0.075609
NatWest	0.0753558
"Washington Mutual"	0.0750546
Cadbury	0.0750433
Deutsche	0.0746781
SFC	0.0745501
TYCO	0.0739535
Alcatel	0.0738777
SunTrust	0.0737267
ITT	0.0735015
XYLAN	0.0733212
NTRA	0.0730287
Enron	0.0725629
RIAA	0.0723107
Primedia	0.0719431
WELLPOINT	0.0717739
COLTEC	0.0717147
NORTHROP	0.0715419
"Truth Commission"	0.0713885
Georgia-Pacific	0.0712679
Terra	0.0712525
"Waste Management"	0.071111
"Boston Scientific"	0.0710743
PTT	0.0709563
BankAmerica	0.0705832
ICI	0.0703821
"Ron Villone"	0.07007
Alltel	0.0699926
NSC	0.068949
UAM	0.068897
AMC	0.0687126
Tenneco	0.0685275
"Phelps Dodge"	0.0685155
TDB	0.0684938
HKFA	0.0683808
Lockheed	0.0683087
GPU	0.0682931
Aerospatiale	0.0681868
MCI	0.0679082
Sidot	0.0678063
"Pitney Bowes"	0.0678051
TRW	0.0675893
"Pacific Exchange"	0.0675295
Autodesk	0.0675138
"Niagara Mohawk"	0.0674568
RJR	0.0674552
WPP	0.0671989
Medtronic	0.0668289
Viag	0.0666246
Susanti	0.0662825
KPA	0.0662759
Daimler-Benz	0.0660803
AutoNation	0.0660559
TELLABS	0.0658981
NationsBank	0.0655924
Bristol-Myers	0.065566
IDT	0.0654497
"Nortel Networks"	0.0653169
ITU	0.0651345
"Royal Bank"	0.0648393
FPL	0.0642922
Humana	0.0641846
SCI	0.064158
Cargill	0.0640572
NRC	0.0640336
VW	0.0639835
"Air Canada"	0.0639603
IEC	0.0638433
NTL	0.063782
ING	0.0637313
Qwest	0.0637271
Transamerica	0.0637083
Ansett	0.0636881
"Banque Nationale"	0.0635575
"Y&AMP;R"	0.0633112
"Southern Co."	0.0629848
"Chronicle Publishing"	0.0629254
Incyte	0.0628738
"Thermo Electron"	0.062692
MTA	0.0623971
"P&AMP;G"	0.0623212
Bertelsmann	0.0622906
SBC	0.0621819
Comcast	0.0620594
SkyTel	0.0620533
BankBoston	0.0620207
"Cessna @@@"	0.0618724
NU	0.0618693
HCFA	0.0617847
Marketspan	0.061582
Informix	0.061496
MBNA	0.0613549
HKMA	0.0613298
"Deutsche Bank AG"	0.0610993
Daimler	0.060915
Telekom	0.0608897
REALTY	0.0607933
Webvan	0.0606415
"National Thoroughbred Racing Association"	0.0605435
DSE	0.0603057
SPDC	0.060168
Barclays	0.0600172
Paxson	0.0599065
AMR	0.0596968
CCB	0.0595791
Cendant	0.05953
BCE	0.0594766
"Standard Chartered"	0.0594693
REPSOL	0.0594465
Hoechst	0.0594229
ABSA	0.0594017
Alcan	0.0592468
"True North"	0.0591635
BOC	0.0590746
Kendall-Jackson	0.0589562
"Hearst Corp."	0.0589449
EMC	0.0588925
"MCI WorldCom"	0.0588913
MACROMEDIA	0.0588764
BSA	0.058866
E-Trade	0.0587086
"U.S. Soccer Federation"	0.0586974
CIRC	0.0586239
Thyssen	0.058547
RAF	0.0585117
WorldCom	0.0584047
Qantas	0.0584018
Ahold	0.058309
"Whole Foods"	0.0583013
SDB	0.0582623
"Russian Space Agency"	0.0582385
Ingalls	0.0581735
"R.J Reynolds"	0.0581426
"Norfolk Southern"	0.0580607
Conseco	0.0580087
CFTC	0.0578273
"Dell Computer Corp."	0.0577578
Chevron	0.0576333
CMGI	0.0576018
Chiron	0.0575368
"Bank of America"	0.0575186
Cessna	0.0574903
Tropicana	0.0573381
UNAMET	0.0573142
NiSource	0.0572949
"British Petroleum"	0.057134
YankeeNets	0.0571109
"Sharper Image"	0.057083
Levi	0.0569969
Nikko	0.0569489
CEC	0.0569269
Healtheon	0.0569026
Railtrack	0.0568888
"Housing Authority"	0.0568751
Unilever	0.0568747
"GE Capital"	0.0567775
"Jesse Orosco"	0.0567365
CMG	0.0567215
Roche	0.0566711
"Bausch &AMP; Lomb"	0.0566025
"Airbus @@@"	0.056475
Raytheon	0.056406
))
(Baer (desc 946.755) (sims
Lamberth	0.25025
Feerick	0.213353
SJC	0.169924
Korman	0.164847
Teresi	0.160465
Patel	0.156818
Ruthardt	0.154414
Meissner	0.144343
Arens	0.138283
Edelstein	0.131105
Rossotti	0.130051
Whipple	0.127225
Rubinstein	0.12124
Ashrawi	0.120999
Schottenheimer	0.120592
"lower court"	0.120216
"Law Lords"	0.118317
Kirkpatrick	0.115849
"appellate court"	0.114405
Spyridon	0.113264
Rivlin	0.112143
Dwyer	0.111575
Nickerson	0.110935
Yazdi	0.109559
Barad	0.108746
Menchu	0.107445
Greenwald	0.107268
McGowan	0.10601
Koirala	0.105711
Bosman	0.104718
Bizimungu	0.104667
Donnelly	0.103921
Ingalls	0.103407
Garrity	0.10323
"Circuit Court"	0.102706
Sarid	0.101728
Westendorp	0.101466
Boyle	0.101132
Nkomo	0.100587
Safir	0.100226
Whyte	0.100204
Barlow	0.100186
Napolitano	0.0968039
Folsom	0.0963598
NLRB	0.0962836
Mowlam	0.0952841
"US Supreme Court"	0.0945325
Kessler	0.0937386
Hahn	0.0936891
Cline	0.0936152
Eyadema	0.0933158
"Jack Straw"	0.0932591
Molinari	0.0932545
Betts	0.0931275
Arbour	0.0930005
Neeman	0.0923943
Shulman	0.0921717
Sills	0.0920294
"U.S. Immigration and Naturalization Service"	0.0918044
Pape	0.0912987
Hanley	0.0912826
DIMON	0.0912221
Thayer	0.0911665
Zadornov	0.0908641
Markovic	0.0905333
"De la Cruz"	0.0900889
Brundtland	0.0900057
Yosef	0.0897293
Zarb	0.0893564
Henning	0.0893359
Gowda	0.0885896
Murayama	0.0885676
Fleischer	0.0885069
Schaeuble	0.0884507
Upshaw	0.087982
Wiggins	0.0877489
Chenoweth	0.0877326
Leghari	0.0874493
Caddell	0.0871401
Ruehe	0.087098
Kornberg	0.0869775
Spector	0.0867616
Edelman	0.0867098
Hybl	0.0861382
Jeffers	0.0860635
Schafer	0.086032
Fiorina	0.0856279
Lowry	0.0855445
Orton	0.0852762
Nanula	0.0850074
"Texas Supreme Court"	0.0847176
"Supreme Judicial Court"	0.0844732
Hickman	0.0841473
Janssen	0.0839534
Brenner	0.08375
Sanan	0.0836035
Tuttle	0.0834927
Rowley	0.0833081
Tagliabue	0.0831591
Lipstadt	0.0831231
Duffy	0.0830081
Friedman	0.0828979
Suarez	0.0828398
Sheehy	0.0828315
Das	0.0827549
Weil	0.082688
Swanson	0.0824997
Ribbeck	0.0824017
Elliot	0.0823427
COYNE	0.0820818
McFadden	0.0816325
Ziegler	0.081562
Kearin	0.0814633
Bisek	0.0811946
arbitrator	0.0810097
Patten	0.0808332
"U.S. Supreme Court"	0.0804862
Ivey	0.0803972
Gaffney	0.0801628
Blazevic	0.0801205
"World Court"	0.0800372
Tanaka	0.0799766
Storin	0.0797626
Nano	0.0796309
Mei	0.0796006
whomever	0.0793874
Orban	0.0792722
Hauser	0.0792339
Garvey	0.0791631
Cohn	0.0789351
Shamshad	0.0789349
Connerly	0.0788175
Connelly	0.0786591
Hagel	0.0786528
Garber	0.0785576
"Bashkim Fino"	0.0784922
McGuinness	0.0783723
Rodionov	0.0783387
silber	0.0782532
Bellamy	0.0781872
Knapp	0.0781314
Gorman	0.0780996
Meguid	0.0779354
Pierson	0.0778576
Bubb	0.0777998
Ikimi	0.0777746
DiCarlo	0.0775599
JAKES	0.0773361
"trial court"	0.0772641
Weiner	0.0771654
Mckee	0.0768923
ITC	0.076868
Rowan	0.0768644
Whiting	0.0767702
McCormack	0.076761
Flanagan	0.0767171
Troussier	0.0765026
Arron	0.076502
bock	0.0764887
Bettman	0.0761601
Kasoulides	0.0759577
Hindery	0.0759374
Villalonga	0.0759321
Merritt	0.0758986
Abram	0.0758477
Souter	0.0758397
Britton	0.0758291
CEC	0.0757616
Atkinson	0.0756997
Wolfson	0.0756976
Nilsson	0.0755535
FitzPatrick	0.0755196
Tilberis	0.0754912
Slatkin	0.0754776
Iger	0.0754436
Kurtz	0.0753328
Falco	0.0750529
Brazile	0.0750467
Kabariti	0.0750038
Rossi	0.0748628
Sullivan	0.0746686
Milbury	0.0746642
Reiter	0.0746445
Bishara	0.0745642
Masire	0.0745433
Morley	0.0744499
Kagalovsky	0.0744205
Cleary	0.0744049
Mucha	0.0740029
Schwartz	0.0739519
Bulatovic	0.0739426
Burleigh	0.0739016
Swenson	0.0738212
Wilhelm	0.0738164
"Emanuel Steward"	0.073796
McKenna	0.0737725
Robertson	0.0737118
Coelho	0.073668
Lundberg	0.0733989
Phelps	0.0733056
))
(Baerga (desc 1536.01) (sims
Lieberthal	0.205725
Cirillo	0.195519
Gilkey	0.18873
Agbayani	0.184952
Rolen	0.184506
Hollins	0.181561
Surhoff	0.180194
Ordonez	0.176241
Cedeno	0.174982
Dunston	0.173562
Olerud	0.173491
Fryman	0.166366
Valentin	0.165238
Bonilla	0.161244
Tatis	0.160424
Alicea	0.158269
Beltre	0.155978
Segui	0.155745
McRae	0.155284
Caminiti	0.152446
Velarde	0.152363
Cora	0.150787
Bordick	0.150442
McLemore	0.149132
Huskey	0.148693
Alfonzo	0.14853
Offerman	0.148235
Duchesne	0.148048
Burnitz	0.146395
Zeile	0.146163
Renteria	0.14615
Glaus	0.14489
Counsell	0.143386
Veras	0.142631
Fullmer	0.142225
Ledee	0.141976
Karros	0.141591
Nevin	0.140602
Lankford	0.13894
"Mark Loretta"	0.1388
DiSarcina	0.138521
"Ozzie Guillen"	0.138434
Womack	0.138045
Spiers	0.13796
Frye	0.137641
"Damian Miller"	0.137433
Ausmus	0.137388
DeShields	0.137242
Cabrera	0.137227
Aurilia	0.137141
Bautista	0.136993
Merloni	0.135633
Batista	0.13512
Bragg	0.134504
Palmeiro	0.134304
Andreychuk	0.13358
Castilla	0.133579
Vizcaino	0.133516
"Bobby Higginson"	0.133296
Gant	0.132902
"J.T Snow"	0.13267
Erstad	0.132529
Higginson	0.132124
Leyritz	0.131869
Ceballos	0.131795
Raines	0.131159
"Dave Martinez"	0.131047
Atler	0.131006
"Eric Owens"	0.130967
Vidro	0.130694
Daubach	0.130032
Meares	0.129745
"Bill Spiers"	0.129725
Klesko	0.129065
Stinnett	0.128435
"Todd Walker"	0.128414
Brosius	0.128256
"Tim Bogar"	0.12786
Gwynn	0.127203
Varitek	0.127102
"John Vander Wal"	0.127062
"Devon White"	0.126432
"Jeff Cirillo"	0.125834
Glanville	0.12546
"Scott Spiezio"	0.124714
Giambi	0.124122
Reichel	0.123813
"Miguel Cairo"	0.123595
Canseco	0.123503
Grudzielanek	0.123432
Larkin	0.122926
Brogna	0.12285
Guillen	0.122432
Padilla	0.12236
Dellucci	0.122006
"Cristian Guzman"	0.121638
Ripken	0.121426
"Deivi Cruz"	0.121323
Hundley	0.120493
Mora	0.120291
"Mickey Morandini"	0.120046
"David Segui"	0.119776
Lofton	0.119635
Lampkin	0.119324
"Carlos Baerga"	0.119058
"Jose Hernandez"	0.11836
Alou	0.118324
"Geoff Jenkins"	0.118162
"Jose Vidro"	0.118003
Walbeck	0.117856
"Ron Gant"	0.117642
"David Ortiz"	0.117285
"Rondell White"	0.11702
"Marquis Grissom"	0.116892
Burks	0.115507
"Johnny Damon"	0.114993
"Dave Hansen"	0.11461
Laperriere	0.114552
Buhner	0.114275
"Fernando Vina"	0.114131
"Tony Phillips"	0.113994
Alomar	0.113983
Laudrup	0.11366
"Lance Johnson"	0.113405
"Robin Ventura"	0.113393
"Scott Brosius"	0.112926
"Luis Lopez"	0.112754
Laettner	0.11256
Furcal	0.112463
"Jay Bell"	0.112369
Beltran	0.112003
Finley	0.111678
"Chris Gomez"	0.111398
Greer	0.111367
Hollandsworth	0.111177
"Harold Baines"	0.11091
"Adrian Beltre"	0.110884
"Rich Aurilia"	0.110877
"Randy Velarde"	0.110565
Guthridge	0.110515
"Tony Graffanino"	0.110342
Appier	0.110323
Abreu	0.110308
"Craig Biggio"	0.110226
Knoblauch	0.110021
"Eric Chavez"	0.10954
Barrie	0.109257
Catalanotto	0.109029
Murrell	0.108926
"Bruce Aven"	0.108867
Sydor	0.108818
Kukoc	0.108596
Nailon	0.108402
Ochoa	0.108281
Tejada	0.108246
Polgar	0.108182
Gorter	0.108104
"Enrique Wilson"	0.108055
"Jeff Conine"	0.107708
"Pat Meares"	0.107517
"Jim Thome"	0.107433
Giles	0.107385
Lowery	0.107349
"Kenny Lofton"	0.107248
"Melvin Mora"	0.107235
Kapler	0.107042
Passarella	0.106851
"Eric Karros"	0.106742
"Jose Guillen"	0.106687
"Darryl Hamilton"	0.106479
"Javy Lopez"	0.106355
Mabry	0.106341
"Derrek Lee"	0.106264
"Ricky Gutierrez"	0.106056
Javier	0.105771
"Joey Cora"	0.105451
"Mike Cameron"	0.104703
"Bill Mueller"	0.104328
"Henry Rodriguez"	0.104119
"Bobby Abreu"	0.104068
"Doug Glanville"	0.103881
"Jose Vizcaino"	0.10378
Boone	0.103729
"Dean Palmer"	0.103651
"Edgar Martinez"	0.103635
Galarraga	0.103506
"Mark Grace"	0.103399
"Mike Sweeney"	0.103244
Bergeron	0.103174
"Rey Ordonez"	0.102915
Bierhoff	0.10288
"Chris Widger"	0.102597
"Ryan Klesko"	0.102588
McGriff	0.10255
Cummings	0.102476
Nedved	0.10233
"Brian McRae"	0.102262
"Mike Lamb"	0.102164
Biggio	0.102132
Sexson	0.102102
"Butch Huskey"	0.101675
Lawton	0.101456
"Al Martin"	0.101361
Matthaeus	0.101131
"Jeff Bagwell"	0.101043
"Gregg Jefferies"	0.10103
"Vladimir Guerrero"	0.101012
"Brian Giles"	0.100671
Guzman	0.100428
"Bengie Molina"	0.100369
Bichette	0.100365
Cordero	0.100157
))
(Baez (desc 2518.15) (sims
Norberg	0.186926
Dahmer	0.144933
Webdale	0.138955
Faison	0.138384
Dorismond	0.132356
Moxley	0.131293
Binion	0.124285
Lawler	0.123812
Costin	0.114834
Shepard	0.111678
Sheppard	0.110218
Bessette	0.110067
Amedure	0.109687
krueger	0.108417
Youk	0.107936
Loeb	0.107691
Sheinbein	0.104174
Shayler	0.103542
Sakic	0.102728
Neulander	0.10175
MCGEE	0.101422
Grasso	0.101362
Fahey	0.100737
Asprilla	0.100441
Diallo	0.0998281
JonBenet	0.0988737
Byrd	0.0984393
Hess	0.0977199
Abiola	0.0975335
Stayner	0.0975246
Bhutto	0.0970169
McLaughlin	0.0963966
Lileikis	0.0959786
Biko	0.0950875
Whaley	0.0949595
Goldstein	0.094826
Skakel	0.0947353
Slepian	0.0945459
Nkomo	0.093867
"Matthew Eappen"	0.0937772
Howell	0.0927386
McCartney	0.0913073
Mitterrand	0.0912024
Raduyev	0.0911661
Berenson	0.0905787
Dudayev	0.0904798
"John Kennedy Jr."	0.090193
Boyle	0.0900909
Nkabinde	0.088839
Matasareanu	0.0885252
Mendez	0.0876194
"JonBenet Ramsey"	0.0870795
Valenzuela	0.0870577
Soriano	0.0866621
Mehta	0.0858578
Bingham	0.085583
Pamela	0.0854225
"Griffith Joyner"	0.0853221
Gathers	0.0851127
McPherson	0.0844332
Goodrich	0.0843083
Alydar	0.084057
Zapruder	0.0839852
O'Hair	0.0837701
Rosenberg	0.0837201
Mathews	0.0835858
Barton	0.0832729
Soliah	0.0831252
Hartman	0.0829054
Noe	0.0828736
Gonzales	0.0817999
Larson	0.0813919
Carlesimo	0.0809276
"James Byrd"	0.0807695
Chmura	0.0805847
Solis	0.0801819
Musa	0.0801134
Woodson	0.0795501
O'Malley	0.0793383
Perec	0.0791768
Markovic	0.0791226
Cooke	0.0789729
Starovoitova	0.0788681
Perrot	0.0787592
Cruz	0.0787495
Rabin	0.0785372
Timmy	0.0785066
Mikhailov	0.0783667
LOUIMA	0.078361
Padilla	0.078154
Galindo	0.0780522
Ramsey	0.0780409
Marley	0.0779266
Chu	0.0778927
Laudrup	0.0777794
Bedell	0.0777161
Soares	0.0774735
Weston	0.0773958
Antley	0.0772314
Castaneda	0.0769177
Shurmur	0.0766915
Imperatori	0.0766808
Rodriguez	0.0766607
"Khieu Samphan"	0.0765843
Riady	0.0765283
Aquino	0.0764071
Flores	0.0763985
Recker	0.0762637
Gillick	0.0761899
Berard	0.075901
Harding	0.0758207
Stahl	0.0753993
Mullen	0.075386
Bulatovic	0.0753231
"Sang Lan"	0.0752682
Coverdell	0.075248
Abacha	0.0751257
Tudjman	0.0750177
Duvalier	0.0750054
Onassis	0.0748118
Durwood	0.0748063
Ziegler	0.0744125
Kirkpatrick	0.0743605
Cheung	0.0743497
Schaeuble	0.0742696
Fuentes	0.074009
Priebke	0.0739205
Goldwater	0.0738605
Arbour	0.0736568
Bellush	0.0736258
Shriver	0.0736134
Hernandez	0.0734469
Ramirez	0.0733568
Hindery	0.0733357
Elliot	0.0732965
Ballard	0.0732776
Ricart	0.0731158
Cory	0.0730415
Checo	0.073027
Cassie	0.0728782
Brazill	0.0726463
Baumhammers	0.0725484
Coughlin	0.0725464
Calloway	0.0724713
Arad	0.0720016
Nyerere	0.071964
Ochoa	0.0719173
Swann	0.0718058
Kaunda	0.0716897
Faulder	0.0716263
Capps	0.0714335
Lawrence	0.0713431
deportee	0.0712402
Keenan	0.0711331
Herron	0.0711286
"Derrick Thomas"	0.071121
Gorbachev	0.0710462
beamer	0.0710382
Lin	0.0710267
Hiett	0.0708812
Tuinei	0.0708667
Meston	0.0705844
"Francisco Franco"	0.0705507
Dixon	0.0705496
"El Hage"	0.0704385
Busch	0.0703083
Ileto	0.070207
Wyly	0.0701392
Krone	0.0701367
Landry	0.0701259
bailey	0.0700686
Byrdsong	0.0700186
Craxi	0.0697366
Escobar	0.069733
Hani	0.0696514
Parks	0.0696403
Gilmour	0.0696233
Irwin	0.0695599
Krstic	0.0694682
Nivel	0.0694051
Egan	0.0692282
Khalil	0.0691726
Laudor	0.0691441
Ntakirutimana	0.0691077
Papandreou	0.0690654
Figueroa	0.0686765
Zhivkov	0.0686658
Maher	0.0686168
Resendez-Ramirez	0.0685902
Soto	0.0684693
Ruggiero	0.0683836
Sharif	0.0683572
Rushdie	0.0682672
"Michael Kennedy"	0.068223
Salinas	0.0680918
Cao	0.0678344
Benton	0.0677999
Blackmun	0.0677373
Soong	0.0677058
Appier	0.0675846
))
("Bafana Bafana" (desc 738.516) (sims
"Super Eagles"	0.137447
"Fighting Irish"	0.122108
PAOK	0.113385
"Phoenix Mercury"	0.106597
"Australian Mark Philippoussis"	0.10553
Palmeiras	0.102861
"Chicago Fire"	0.100803
"Briton Greg Rusedski"	0.0948033
"Miami Fusion"	0.0935429
"Velez Sarsfield"	0.0932146
"Boca Juniors"	0.0929656
Capel	0.0896962
"Glasgow Rangers"	0.0880349
AEK	0.0876668
"Old Dominion"	0.0871802
nonwhites	0.0861804
Rosenborg	0.0847497
"Chinese Army"	0.0837695
Shenhua	0.0827929
corinthian	0.0821029
Medvedev	0.0820842
"Spartak Moscow"	0.0817395
Zico	0.0810738
"Red Star"	0.0809235
"Los Angeles Galaxy"	0.0803501
Stoltenberg	0.0800619
"Newcastle United"	0.07967
Coetzer	0.0796568
"Dalian Wanda"	0.0795844
Utes	0.0793948
Nicol	0.0783499
"AC Parma"	0.078021
"Magdalena Maleeva"	0.0767712
"Juan Antonio Marin"	0.0762822
Bastia	0.0762677
Starzz	0.0762193
"South African Amanda Coetzer"	0.0759022
"American Michael Chang"	0.0758979
Edberg	0.075012
Benfica	0.0745912
"Scarlet Knights"	0.0742479
Cruzeiro	0.0742153
RedHawks	0.07378
"Li Fang"	0.0735443
"Naoko Sawamatsu"	0.0724116
friendlies	0.0722083
Illini	0.0718759
"Dallas Burn"	0.0717414
Jansher	0.0714258
Hawkeyes	0.0713854
Mantilla	0.0711998
"Jorge Campos"	0.070804
Gustafsson	0.0704721
"AEK Athens"	0.0703489
"CHARLOTTE STING"	0.0703482
Karpov	0.0700986
"Los Angeles Sparks"	0.069636
"seeded player"	0.0695909
"American Andre Agassi"	0.0695193
"Partizan Belgrade"	0.0693093
Necaxa	0.0688542
"Deep Blue"	0.068675
"Les Bleus"	0.0685395
"Andrei Pavel"	0.0684872
"Mary Joe Fernandez"	0.0684296
Gremio	0.0681352
"Jerome Golmard"	0.0681062
"Arnaud Clement"	0.0679231
"Deportivo La Coruna"	0.0678248
Boilermakers	0.0665027
Katsav	0.0664925
"Olympiakos Piraeus"	0.0664503
"Maple Leafs"	0.0663579
cager	0.0662847
"Crimson Tide"	0.066149
"Athletic Bilbao"	0.06597
"Van Roost"	0.0658446
"Tar Heels"	0.0656882
"Kenneth Carlsen"	0.0654024
"UC Santa Barbara"	0.065396
"Toronto Maple Leafs"	0.0651493
"Guillaume Raoux"	0.0651156
Spartak	0.0649794
spikers	0.0646187
"Eric Cantona"	0.064423
"Chen Jing"	0.0643659
Polgar	0.0642211
sixer	0.0639714
"River Plate"	0.0639494
"Guangdong Hongyuan"	0.063906
"Team USA"	0.0638307
"Phenix City"	0.0637935
gallantry	0.0636847
"Budi Santoso"	0.0636363
UAB	0.0634637
Dutchmen	0.0633861
Arthurs	0.0632442
bearcat	0.0631666
Wolfsburg	0.0631381
Mallorca	0.0630327
"Calgary Flames"	0.0630095
Henman	0.0629289
"Australian Cricket Board"	0.0627991
"Red Storm"	0.0627968
gopher	0.0626528
"San Lorenzo"	0.062586
Likhovtseva	0.0625112
"Hernan Gumy"	0.0622197
quarterfinalists	0.06203
"Nittany Lions"	0.0619264
"Nathalie Dechy"	0.061868
Larsson	0.0616338
"Sebastien Grosjean"	0.0614054
"Nicolas Lapentti"	0.0613786
putsch	0.0613565
"Justin Gimelstob"	0.0613551
"Carolina Hurricanes"	0.0610429
UNLV	0.0610133
"Shanghai Shenhua"	0.0609828
"Olympique Marseille"	0.0608446
"first pitcher"	0.0608181
Schalken	0.0607914
Spirlea	0.060772
Watford	0.060699
"New York-New Jersey MetroStars"	0.060683
hooliganism	0.0604062
"Karim Alami"	0.0604009
"Slavia Prague"	0.0603383
Alcantara	0.0602944
MetroStars	0.0600816
"Renzo Furlan"	0.0600796
"Frank Jobe"	0.0596978
sixth-graders	0.0596828
"Andrei Medvedev"	0.0595597
goal-scorer	0.0595594
"Tatiana Panova"	0.0595233
handball	0.0595045
"Adrian Voinea"	0.0594248
"AC Milan"	0.0593425
"Trinidad and Tobago"	0.0592454
Safin	0.0590951
"majority rule"	0.059089
"Golden Hurricane"	0.0589931
"Kinder Bologna"	0.0589559
Dosedel	0.0588081
"Blackburn Rovers"	0.0585398
Venables	0.0584994
"Magui Serna"	0.0584174
"Davide Sanguinetti"	0.0584092
"Jansher Khan"	0.0584059
"Shanghai Sharks"	0.0583642
Tauziat	0.0583272
Vols	0.0582752
"Seibu Lions"	0.0582692
"American Chanda Rubin"	0.0582324
"American Lindsay Davenport"	0.058039
Jayhawks	0.0579986
"Javier Vazquez"	0.0579842
Kasparov	0.057911
"Red Raiders"	0.0578739
Vitesse	0.0578738
"American Todd Martin"	0.0578479
Polti	0.0578386
Sugiyama	0.0577854
"Crystal Palace"	0.0577485
"Felix Savon"	0.0577316
"Hristo Stoichkov"	0.0577061
Besiktas	0.0577001
"Lothar Matthaeus"	0.0575553
"New York Liberty"	0.0575552
Schnyder	0.0575267
Croatians	0.0574272
Perugia	0.057367
"Buffalo Sabres"	0.0573513
Flamengo	0.0573424
Hoya	0.0573192
"Albert Portas"	0.057206
"Byron Black"	0.057169
"Jinan Taishan"	0.0571461
"Hu Weidong"	0.057004
"Richard Fromberg"	0.0569283
"Sebastien Lareau"	0.0569041
Sampdoria	0.0568446
"D.C. United"	0.0568347
Springbok	0.056608
Berasategui	0.0565511
"Guangzhou Apollo"	0.056488
"Red Star Belgrade"	0.056422
Makinen	0.0564015
"Qingdao Hainiu"	0.0562854
Brondby	0.0562346
Sautin	0.0561389
"Magnus Norman"	0.0560807
Xavier	0.055997
Testud	0.0559912
"Mississippi State"	0.0559858
Stephenville	0.0559345
Ferreira	0.055829
"Bayern Munich"	0.0557931
Grosjean	0.0557852
))
(Baffert (desc 15399.6) (sims
"Bob Baffert"	0.298315
"D. Wayne Lukas"	0.182041
Lukas	0.180121
"Nick Zito"	0.151786
Mandella	0.134154
"Elliott Walden"	0.125932
"Neil Drysdale"	0.117544
Lewises	0.116624
Zito	0.107322
"Richard Mandella"	0.104059
"Real Quiet"	0.100369
charismatic	0.0960741
"Victory Gallop"	0.0913082
Drysdale	0.0906008
"Silver Charm"	0.0870572
trainer	0.082658
"Emanuel Steward"	0.0819922
Walden	0.077641
"Skip Away"	0.076223
McCarron	0.0751809
Menifee	0.0740523
Silverbulletday	0.0729658
"Excellent Meeting"	0.071411
"Cat Thief"	0.0695944
Sahadi	0.0694887
Pegram	0.068952
"Fusaichi Pegasus"	0.0680226
Pincay	0.0676683
Frankel	0.0671796
Crenshaw	0.0669959
Parcells	0.0665949
"Worldly Manner"	0.0664748
"Free House"	0.0663684
"Prime Timber"	0.0654024
colt	0.0644324
Valhol	0.0642441
Torre	0.0642356
Solis	0.0631214
Fassel	0.0630159
Preakness	0.0628925
Gailey	0.0621879
Holmgren	0.0616249
Brooks	0.0614393
Arum	0.0611146
Atler	0.0609559
filly	0.060773
Behrens	0.0604911
Earnhardt	0.0601479
Budroyale	0.0591739
Reeves	0.0588992
Ganassi	0.0588735
Tomey	0.0588119
"Kent Desormeaux"	0.058316
valentine	0.0580904
Duval	0.0580164
Bowden	0.0578222
"Red Bullet"	0.0577363
Dierker	0.057614
Piniella	0.0576046
McCurry	0.0571978
Weisman	0.057005
Gullikson	0.0566742
Desormeaux	0.0566217
Carroll	0.0564842
Kwan	0.0564515
Gooden	0.0557766
"Lemon Drop Kid"	0.0557414
Irvan	0.0556627
Muckler	0.0554502
Brister	0.0553603
Melvin	0.0552508
Schmid	0.0552367
Elway	0.0552316
Khannouchi	0.0551264
Hackett	0.0550453
Meissner	0.0550288
Waltrip	0.0547377
Boldon	0.0545524
Labonte	0.0544039
Irwin	0.0542901
Hine	0.0542516
Gordon	0.0541035
McEnroe	0.0541009
Luyendyk	0.0540974
Montoya	0.0539695
O'Leary	0.0538958
Oates	0.0537523
Zambrano	0.0536117
Kerrey	0.0534459
"Jerry Bailey"	0.0533795
Ebersol	0.0531682
Burns	0.0529272
Keating	0.0529154
"Pat Day"	0.0528748
Stevens	0.0526276
lacy	0.0526274
"Gary Stevens"	0.0525782
Guthridge	0.0522322
Rodman	0.0522129
Donnan	0.0521819
Byrne	0.0521802
"De La Hoya"	0.0520834
Godolphin	0.051842
Ditka	0.0518299
DOLE	0.0516828
Roush	0.0512125
Riley	0.0511761
Bradley	0.0510508
Bonilla	0.0509782
turner	0.0509663
Putin	0.0509115
Rambis	0.0506002
Malone	0.0505662
Ferguson	0.0504906
Tait	0.050399
Westphal	0.050203
Lavin	0.0500872
"Van Gundy"	0.0499317
Foyt	0.0498526
Mcbride	0.0497175
O'Meara	0.0497044
Antley	0.0497019
Belichick	0.0496796
McCain	0.0496078
Herta	0.0495942
McNown	0.0495652
Gossage	0.0495638
Botha	0.0495234
Vasser	0.0494878
Dunleavy	0.0494785
Skinner	0.049381
Kerry	0.0493423
Blatter	0.0492058
bailey	0.0490914
Falk	0.0490081
Ainge	0.0489199
Driscoll	0.048842
Sampson	0.0487608
Hoddle	0.04872
beamer	0.0487145
Faulk	0.0484819
Osborne	0.0483901
Hitchcock	0.0483772
Welch	0.048369
Daly	0.0483316
Pantani	0.0481613
Kelley	0.0481553
Lieberman	0.0481043
Pitino	0.0480929
"Kentucky Derby"	0.0480481
Sampras	0.047916
Solich	0.0479111
Vermeil	0.0478548
Flutie	0.0478446
Eastwood	0.0478295
jockey	0.0475801
Webb	0.0475785
smith	0.0475745
Sharpe	0.047497
Kenseth	0.0474627
Greene	0.0474461
Calhoun	0.0474414
Johnson	0.0474377
Taylor	0.0474305
Clooney	0.0474292
Gretzky	0.0474158
Nicklaus	0.0473993
Popov	0.0473413
Murray	0.0473374
Selig	0.0472221
Armstrong	0.0472185
Robertson	0.0471723
Marino	0.0471589
Mayfield	0.0471331
Saberhagen	0.0470715
Goodman	0.0470449
Dreifort	0.0467501
Gimelstob	0.0467442
Snyder	0.046741
Hargrove	0.0467116
Gonzalez	0.0466963
Steinbrenner	0.0465872
Hoffman	0.0464824
Barkley	0.0464422
LaPierre	0.0463858
Sosa	0.0463714
Molinari	0.0463707
Wahid	0.0463556
Leyland	0.0463381
Torres	0.0462754
Lockhart	0.0462308
Hakkinen	0.046227
Spielberg	0.046115
Mariucci	0.0460973
Hartsburg	0.0460923
Montgomerie	0.0459228
Obasanjo	0.045874
Schottenheimer	0.0458135
Kelly	0.0457571
Jarrett	0.0457483
))
(bag (desc 120755) (sims
box	0.188549
suitcase	0.18181
container	0.169873
backpack	0.160617
bottle	0.146857
luggage	0.145204
sack	0.1445
briefcase	0.140412
shoe	0.133339
handbag	0.132803
jar	0.129576
cloth	0.125859
bucket	0.124936
purse	0.11571
jacket	0.115236
pouch	0.114474
"paper bag"	0.114281
blanket	0.111937
"shopping bag"	0.110182
tray	0.108489
hat	0.108457
crate	0.107761
pot	0.107427
shirt	0.106603
wallet	0.106323
towel	0.105408
"duffel bag"	0.105149
scarf	0.104746
glass	0.104618
coat	0.104141
drawer	0.10402
pocket	0.103439
carton	0.102792
envelope	0.102474
packet	0.10143
pile	0.0999352
T-shirt	0.0993964
bowl	0.0988653
glove	0.0984968
pillow	0.0983939
pant	0.098062
Clothing	0.0973035
sheet	0.0971608
dress	0.0971113
can	0.0967897
item	0.0966452
plastic	0.0964191
boot	0.0961122
package	0.0958373
piece	0.0952321
trunk	0.0948138
car	0.0940775
pack	0.0940321
plate	0.0923157
basket	0.0917854
Bin	0.0914787
truck	0.0907283
toy	0.0906346
tube	0.0902528
sock	0.0902361
baggage	0.090005
sweater	0.0885814
cooler	0.0876415
jewelry	0.0856667
ball	0.0853981
Tin	0.0853094
bundle	0.0847671
dish	0.0846353
belt	0.0846166
cup	0.0846018
vest	0.0845056
closet	0.0843058
belonging	0.0841898
pan	0.0837918
chair	0.082846
ton	0.0822926
skirt	0.0818263
refrigerator	0.0817653
mattress	0.081628
wrapper	0.0813935
helmet	0.0807472
gun	0.0806458
tank	0.0805049
furniture	0.0804588
compartment	0.0799493
mask	0.0796642
locker	0.0796197
fabric	0.0795712
pad	0.0792772
layer	0.0791998
card	0.0788741
folder	0.0782027
sneaker	0.0781262
barrel	0.07779
uniform	0.0776793
underwear	0.0776422
vial	0.0776204
load	0.0773509
kit	0.0773273
jean	0.0772991
rack	0.0771655
sunglasses	0.0770631
sandal	0.0769955
canister	0.0769328
doll	0.0764946
food	0.0761684
supply	0.0760451
cap	0.0756839
jug	0.075385
pipe	0.0752954
brick	0.0747986
coffin	0.0744879
sweatshirt	0.0744128
"water bottle"	0.0744102
shelf	0.0741317
Shell	0.0739624
quantity	0.0738032
tire	0.0736187
book	0.0735094
tent	0.0734984
bed	0.0734597
ticket	0.0731962
machine	0.0729065
Garbage	0.0728832
camera	0.0728584
paper	0.0724365
rifle	0.0723945
vehicle	0.0722971
suit	0.0721616
"piece of paper"	0.0721222
parcel	0.0720722
Coin	0.0720333
"baseball cap"	0.0719586
tape	0.0717039
shawl	0.0716899
equipment	0.0714677
"garbage can"	0.0712231
pen	0.0712089
material	0.071067
"sleeping bag"	0.0710497
flower	0.0709151
hand	0.0705208
knife	0.0705064
"trash can"	0.0703716
object	0.0700881
gear	0.0698003
hair	0.0694662
stick	0.0694383
accessory	0.0694283
room	0.0693977
napkin	0.0692448
collection	0.0691346
pistol	0.0690892
store	0.0690277
sandwich	0.0690047
trouser	0.0688828
cover	0.0688514
chunk	0.0688066
goods	0.0687968
cigarette	0.0685421
sleeve	0.0685017
trailer	0.0684911
freezer	0.0684018
tub	0.0682361
tile	0.0681317
table	0.0678461
hose	0.0675399
notebook	0.0674975
arm	0.0673951
stack	0.0673378
cart	0.0673348
frame	0.0670994
collar	0.0670215
apron	0.0669968
pair	0.0669882
bar	0.0668565
Computer	0.0668151
product	0.0667946
"leather jacket"	0.0667794
appliance	0.066692
leather	0.0666099
van	0.066554
wall	0.0664734
slice	0.0664647
stuff	0.0664646
vase	0.0664608
Kilogram	0.0664338
laptop	0.0663049
cake	0.0661606
phone	0.066004
carpet	0.0658634
candle	0.0657376
top	0.065723
drum	0.065701
device	0.0655248
Beer	0.0655001
seat	0.0654934
necklace	0.0654659
umbrella	0.0654507
sample	0.0652939
))
("bag of tricks" (desc 1016.57) (sims
"Strategic Petroleum Reserve"	0.11399
Icebox	0.0923821
"duffel bag"	0.0897827
toolbox	0.0860019
"cookie jar"	0.0849233
"million yuan"	0.0790001
discography	0.0787226
guidepost	0.0707597
"piggy bank"	0.0691658
Rolodex	0.0686896
"reserve fund"	0.0670848
"line of products"	0.0657547
"magnifying glass"	0.0637528
"nest egg"	0.0628735
cupboard	0.0616196
legalism	0.0613871
"walking stick"	0.0613548
"cup of tea"	0.0609374
birdbath	0.0602345
"golf bag"	0.0591028
"war chest"	0.0590112
STETSON	0.0588812
"secret plan"	0.0586197
"water table"	0.0571613
jeremiad	0.0569845
"tax advantage"	0.0557814
retinue	0.0556813
"tag line"	0.0554807
"glove compartment"	0.0551384
stevedore	0.0543782
pocketbook	0.0543321
crevice	0.0542436
lawnmower	0.0539947
"natural ability"	0.0538007
non-Social	0.053795
"broadcasting company"	0.0537765
"cast of characters"	0.0534514
"cream puff"	0.0534425
"fishing rod"	0.0529342
earplugs	0.0529289
"space heater"	0.0528539
"summer house"	0.0528336
webcams	0.0526988
"camp site"	0.0526609
infamy	0.0524867
"frame of reference"	0.0524657
"nook and cranny"	0.0524138
bloke	0.0520744
"easy chair"	0.0520164
"Honda Civic"	0.0515123
"choice of words"	0.0514448
ruse	0.0514301
LP	0.0511994
"major league season"	0.0510106
axiom	0.0507475
Berber	0.0507383
calibre	0.0506915
"raw talent"	0.0505096
"sleight of hand"	0.0502692
camcorder	0.0501877
stethoscope	0.0500921
typeface	0.0498242
tarpaulin	0.049771
"place setting"	0.0494893
"septic tank"	0.0493316
crematorium	0.049264
freezer	0.0489645
fryer	0.0487087
"master bedroom"	0.0484813
knuckleball	0.0484307
"law practice"	0.0483593
"bank card"	0.0482719
"million over five years"	0.0482203
wrister	0.0482148
"dress uniform"	0.0480636
"Brighton Beach"	0.0479713
subterfuge	0.0479017
pore	0.0476061
Kulikov	0.0474035
sled	0.0472833
"city block"	0.04715
change-up	0.0469717
fishbowl	0.0469607
prosthesis	0.0466413
screwball	0.0464382
feelings	0.0464151
knickers	0.0462165
Schrempp	0.0461851
"flowering plant"	0.0460664
"line of credit"	0.0460281
premonition	0.0459297
mantelpiece	0.0458559
mulch	0.0456829
Centerfold	0.0456604
"light touch"	0.0455797
"sugar refinery"	0.045546
"point system"	0.0454786
sport-utility	0.0453456
"chip shot"	0.0453417
"floor plan"	0.0452792
"electric current"	0.0452707
draught	0.0452621
contraption	0.0452526
"medical practice"	0.0449493
"family name"	0.0449447
sinker	0.0449216
vasectomy	0.0448672
afterburner	0.044855
rulebook	0.0446074
"geographical area"	0.0443386
team.	0.0442684
"trial and error"	0.0442474
"moral hazard"	0.0442349
resellers	0.0441129
subspecies	0.0440974
binocular	0.0440196
six-pack	0.0438166
groundstrokes	0.0437426
Rotary	0.0437236
"Antiquities Act"	0.043689
"hypodermic needle"	0.0436526
"rating system"	0.0436199
renomination	0.0436065
byline	0.0435459
"circulatory system"	0.0434091
"power of attorney"	0.0432452
"car door"	0.0432442
"coaxial cable"	0.0432068
"two hands"	0.0431978
Partway	0.043181
specialities	0.0431671
reappointment	0.0431552
panoply	0.0431513
"local area network"	0.0431377
"hockey stick"	0.0431345
"radio wave"	0.0430791
fibroids	0.0430688
"treasure chest"	0.0429484
"sense of balance"	0.0429468
"letter of credit"	0.042892
"ground cover"	0.0428495
timepiece	0.0428087
"portable computer"	0.0426577
"fire wall"	0.0426269
"wedding party"	0.0423928
"baseball season"	0.0423726
ventilator	0.0423715
cellmate	0.0423503
"deficit spending"	0.0423455
"user fee"	0.0423099
"capital stock"	0.042264
wiseguy	0.0422369
stockpot	0.0421775
"senior class"	0.0421139
"battering ram"	0.0420848
sadist	0.0420524
lean-to	0.0420311
"breathing space"	0.0420209
"smoke screen"	0.0420051
caseloads	0.0419664
netherworld	0.0419506
"jazz band"	0.0419389
seven-point	0.0419155
"growing season"	0.0417898
Malkovich	0.0417154
defibrillator	0.0417021
"wine cellar"	0.0416062
"hole in the ground"	0.0415356
"layer cake"	0.0415173
floater	0.0415002
carbine	0.0413448
walkie-talkie	0.0412767
"country house"	0.0412682
"tool kit"	0.0412478
"mainframe computer"	0.0411888
getup	0.0411229
"brokerage account"	0.0411028
"water main"	0.0410954
likability	0.0410262
stadia	0.0410189
"drainage area"	0.0409648
goatee	0.0408931
recliner	0.0408828
potty	0.0407449
"green salad"	0.0407386
foxhole	0.0407181
"screen door"	0.0406955
"fire hose"	0.0406384
"gas stove"	0.0406117
"catalytic converter"	0.0405854
"hunting knife"	0.0404959
"computer graphics"	0.0403607
"newspaper ad"	0.040246
handkerchief	0.0402289
"piece of cloth"	0.0402266
"family unit"	0.0402141
caseload	0.040117
"last two digits"	0.0400993
))
(bagel (desc 14272.8) (sims
muffin	0.174806
sandwich	0.1526
bread	0.151053
doughnut	0.146889
croissant	0.138526
pizza	0.137931
pancake	0.137006
cracker	0.124184
pretzel	0.121776
pastry	0.119507
scone	0.118857
cake	0.118673
"french fries"	0.117004
donut	0.116915
lox	0.11511
biscuit	0.115102
snack	0.113322
"ice cream"	0.110298
cooky	0.10753
omelet	0.107511
pasta	0.106841
cereal	0.106756
tortilla	0.105845
coffee	0.105603
yogurt	0.105365
toast	0.103272
"hot dog"	0.103163
Hamburger	0.102996
salad	0.100809
cheese	0.0990394
cookie	0.0978401
cheeseburger	0.0974953
candy	0.0964596
"cream cheese"	0.0946698
noodle	0.0944718
steak	0.0942247
"peanut butter"	0.0942052
popcorn	0.0937807
"scrambled egg"	0.0923532
Burrito	0.0914905
pie	0.0911445
egg	0.090441
focaccia	0.0892619
fruit	0.0887825
"baked goods"	0.0887803
"fruit salad"	0.0879698
baguette	0.0878711
soda	0.0873392
"white bread"	0.0870086
bun	0.0869181
burger	0.0853966
"smoked salmon"	0.0852176
sausage	0.0847854
nacho	0.0841374
potato	0.0830569
"green salad"	0.082909
burgers	0.0821932
soup	0.0818837
"Caesar salad"	0.0814325
tea	0.0811279
"orange juice"	0.0807841
FRY	0.0806784
"cottage cheese"	0.0804698
"French toast"	0.0802191
oatmeal	0.0800453
"chicken sandwich"	0.0799815
sushi	0.0799771
plantain	0.0796198
pickle	0.0792912
"French bread"	0.0792395
taco	0.0787788
meat	0.0786869
tomato	0.0780277
Beer	0.0777509
chocolate	0.0773634
brioche	0.0772353
veggie	0.0772217
peanut	0.0768536
slice	0.0767234
"soft drink"	0.0763343
salami	0.0761832
spaghetti	0.0760954
"potato chip"	0.0755196
pastrami	0.075511
smoothie	0.0749712
"iced tea"	0.0743203
chicken	0.0741136
dessert	0.0738996
juice	0.0733063
marshmallow	0.0730949
"macadamia nut"	0.0727588
milk	0.0726849
"apple pie"	0.0724529
waffle	0.0723424
"snack food"	0.0721901
vegetable	0.0721452
lemonade	0.071735
seafood	0.071325
ham	0.0713106
"dairy product"	0.0708802
banana	0.0708434
biscotti	0.0707761
cheesecake	0.0707757
cider	0.070014
"pound cake"	0.0699843
"chocolate chip cookie"	0.0698288
wine	0.0697582
"gefilte fish"	0.0694542
espresso	0.0693202
bacon	0.0684476
cappuccino	0.068277
apple	0.0677647
"tortilla chip"	0.0675707
loaf	0.0674797
"fruit juice"	0.066764
shortcake	0.0660214
nut	0.0659397
granola	0.0657221
Pudding	0.0654504
"chicken wing"	0.0654483
"loaf of bread"	0.0653866
cupcake	0.0649252
Tamale	0.0647764
TART	0.0645186
mushroom	0.0644442
carrot	0.0640725
shrimp	0.064039
onion	0.063777
Chili	0.0635738
"vegetable soup"	0.0632946
"roast beef"	0.0626589
bean	0.0625312
croutons	0.062146
Garlic	0.0619474
mayonnaise	0.0613535
low-fat	0.0613506
pineapple	0.0611009
cornbread	0.0610116
"chicken salad"	0.0608965
spice	0.0606745
"chicken breast"	0.0606722
"tuna fish"	0.0605594
cucumber	0.0605119
flan	0.0605025
ravioli	0.0603985
crepe	0.0603102
porridge	0.0600428
"canned food"	0.0599591
flour	0.0598643
"pine nut"	0.0597524
"M&AMP;Ms"	0.0596761
coconut	0.0594878
meatloaf	0.0593271
"hot chocolate"	0.0593118
melon	0.0592772
tuna	0.0592394
buttermilk	0.0584359
"citrus fruit"	0.0584024
mango	0.0583893
Lasagna	0.0583395
"goat cheese"	0.0582887
butter	0.0581737
"fortune cookie"	0.058124
dough	0.0580506
berry	0.0579718
brisket	0.0579197
"macaroni and cheese"	0.0578911
"water chestnut"	0.0578521
breakfast	0.0575062
"frozen food"	0.0573375
"dog food"	0.0571829
brownie	0.0568391
salsa	0.0566962
cola	0.0566599
beverage	0.0562904
"cup of tea"	0.0562317
barbecue	0.0560457
peach	0.0560189
meal	0.0559963
macaroni	0.0559405
spinach	0.0559272
dish	0.0558963
vodka	0.055511
spaetzle	0.05488
"frozen yogurt"	0.0548033
sugar	0.0547191
Topping	0.0546292
"chocolate cake"	0.0546212
"cooking oil"	0.0546095
"corn chip"	0.0545312
almond	0.0545263
cabbage	0.0545131
"jelly bean"	0.0545007
jelly	0.054488
COBBLER	0.0544316
Cigar	0.0544161
"dry cleaning"	0.0542992
Jell-O	0.0541473
"sour cream"	0.0541252
pea	0.0540629
))
(baggage (desc 24041.7) (sims
luggage	0.221799
suitcase	0.108794
cargo	0.108607
freight	0.094531
bag	0.090005
belonging	0.0839774
backpack	0.0774523
Garbage	0.0762303
rubbish	0.0723175
paperwork	0.0685604
Mail	0.0684971
passenger	0.0662241
oomph	0.0651202
ammunition	0.0650892
container	0.0650812
trash	0.0642907
briefcase	0.0630917
junk	0.0623534
equipment	0.0597043
debris	0.0591628
merchandise	0.0590815
contraband	0.0587566
weight	0.057542
"cargo container"	0.0567673
waste	0.0559174
refund	0.0557809
"breathing room"	0.0547833
distraction	0.0546411
documentation	0.0545064
manure	0.0542753
symbolism	0.0539682
burden	0.0536176
hassle	0.0534486
inventory	0.0530913
explosive	0.0530296
wreckage	0.0528953
gear	0.0528531
horsepower	0.052721
resonance	0.0526917
goods	0.0526658
stigma	0.0523571
luster	0.0522295
firepower	0.052181
pizazz	0.0520211
moisture	0.0518319
plutonium	0.0517741
"shopping bag"	0.051544
valuable	0.0509001
postage	0.0504362
memorabilia	0.0502586
furniture	0.0502322
inconvenience	0.0501274
heft	0.0498448
"duffel bag"	0.0497607
trauma	0.0490857
hardware	0.0489456
"free time"	0.0489393
parcel	0.0488718
fat	0.0485909
leverage	0.04853
clout	0.0484533
traffic	0.0483897
ballast	0.0483472
demon	0.0479216
item	0.0479025
laptop	0.0478116
cloth	0.0477611
Leeway	0.0476885
weapon	0.0473651
crap	0.0473581
artifact	0.0473555
emotion	0.0473275
ammo	0.0470744
data	0.0470265
trapping	0.0469019
shipment	0.0468627
energy	0.0468342
Clothing	0.0467475
laundry	0.0465848
grocery	0.0465214
fare	0.0463287
memory	0.0462031
"red tape"	0.0460194
bitterness	0.0459584
momentum	0.0459107
nutrient	0.0458716
expense	0.0457277
passport	0.0456954
memento	0.0454069
subtlety	0.0451884
ego	0.0450596
fruit	0.0450465
lumber	0.0450265
homework	0.0448056
controversy	0.0447784
gumption	0.0446891
"unfinished business"	0.0446491
publicity	0.0443292
ramification	0.0442966
payload	0.0442622
dirt	0.0442486
"loose end"	0.0442451
relic	0.0440617
fluid	0.0439926
mileage	0.0439367
disruption	0.043918
legacy	0.0439097
scar	0.043877
trepidation	0.0438664
crate	0.0438579
treasure	0.043749
hype	0.0436766
tool	0.0435914
"business card"	0.0435642
ambiguity	0.0433427
stereotype	0.0432188
preconception	0.0430286
pollution	0.0429821
booking	0.0429405
"bad debt"	0.0428704
convenience	0.0428668
nuance	0.0428025
misunderstanding	0.0427317
crewmen	0.0425747
complexity	0.0425262
munition	0.0425008
negativity	0.042397
bandwidth	0.0423667
cooler	0.0423158
carton	0.0422527
dust	0.0421804
flak	0.0421713
mess	0.0420051
jewelry	0.0419866
grain	0.0419678
"black box"	0.0419199
cocaine	0.0419019
packet	0.041757
maintenance	0.0417234
"heavy weapon"	0.0416994
connotation	0.0416766
uranium	0.0415687
hardship	0.0414882
difficulty	0.0414546
motivation	0.0414375
travail	0.041384
noise	0.0413523
parking	0.0413383
knowledge	0.0413192
paraphernalia	0.0413091
fingerprint	0.0412521
pet	0.041153
transgression	0.0411097
bias	0.041097
"personal property"	0.0410561
inhibition	0.0410217
adversity	0.0409149
credibility	0.0408911
leftover	0.0408894
"body part"	0.0408779
shame	0.0408326
liability	0.0408288
weaponry	0.0407962
adrenaline	0.040781
angst	0.0407701
meaning	0.0407
identification	0.0406665
consequence	0.0406498
storage	0.0404575
Coal	0.0404559
accommodation	0.0403852
congestion	0.0403832
cachet	0.0403801
goody	0.0403653
anecdote	0.0403372
trunk	0.0403299
mindset	0.0403274
DNA	0.0402903
guilt	0.0402877
vacuum	0.040276
finger-pointing	0.0402014
feedback	0.0401958
reluctance	0.0401529
gadget	0.0401025
Firewood	0.0400983
toy	0.0400223
))
(Baggio (desc 5317.75) (sims
"Roberto Baggio"	0.206366
Bebeto	0.165562
Zidane	0.161716
Batistuta	0.154072
Vieri	0.150919
"Zinedine Zidane"	0.147267
"Del Piero"	0.141224
Romario	0.138111
"Gianluca Vialli"	0.12635
"Davor Suker"	0.122176
"Hao Haidong"	0.121851
Bergkamp	0.11898
"Dejan Stankovic"	0.114456
"Filippo Inzaghi"	0.114231
Edmundo	0.112272
"Youri Djorkaeff"	0.112084
Laudrup	0.111589
"David Trezeguet"	0.110665
Rivaldo	0.110498
Hagi	0.110305
Ronaldo	0.106564
"Predrag Mijatovic"	0.104968
Chilavert	0.104373
"Alessandro Del Piero"	0.103677
"Gabriel Batistuta"	0.103366
"Dino Baggio"	0.100859
Djorkaeff	0.0993968
"Marcelo Salas"	0.0992914
Kluivert	0.098846
"Hidetoshi Nakata"	0.0985465
Salas	0.0978901
Suker	0.0966358
Bierhoff	0.0943043
"Nwankwo Kanu"	0.0938821
Graziani	0.0934433
"Mia Hamm"	0.0933727
Turgeon	0.0916661
Hamm	0.0906813
"Didier Deschamps"	0.0905815
Gorter	0.0900872
Denilson	0.089403
Hurtado	0.089261
Klinsmann	0.0886916
"Ian Wright"	0.0883832
"Roberto Carlos"	0.0883831
Leetch	0.0873635
Etcheverry	0.087331
"Joe-Max Moore"	0.0872877
Sissi	0.0870554
Welton	0.0865275
Pele	0.0856645
Brister	0.0855914
"Ivan Zamorano"	0.0851747
"Michael Owen"	0.0851065
DiSarcina	0.0833105
Gascoigne	0.0832702
Wynalda	0.0831685
"Dennis Bergkamp"	0.0830498
"Thierry Henry"	0.0827276
Zamorano	0.0826357
"Morten Andersen"	0.0821952
Andreychuk	0.0808048
Dunga	0.0807695
Chastain	0.0804859
Stumpel	0.0803626
Matthaeus	0.0801896
Cienfuegos	0.0793567
"Alan Shearer"	0.079229
Owen	0.0791955
Maradona	0.0791456
"Harry Kewell"	0.0787006
"Pierluigi Casiraghi"	0.0785257
Dunston	0.078375
Ince	0.0781648
hermosillo	0.078138
Kovalev	0.0780383
"Christian Vieri"	0.0777815
Robitaille	0.0775387
Niedermayer	0.0771306
Iverson	0.0770579
Shearer	0.0770557
Carbonneau	0.0769481
Palffy	0.0768924
Sakic	0.0766488
"Kristine Lilly"	0.0765778
Baba	0.0764587
Anelka	0.0760353
"Luis Hernandez"	0.075938
Akers	0.0758199
Beckham	0.0757841
Juninho	0.0757758
"Angelo Peruzzi"	0.0751243
"Michelle Akers"	0.0750082
MacLean	0.0747268
Vinatieri	0.0742763
Roenick	0.074276
"Robert Prosinecki"	0.0740755
Holik	0.0738658
"Sun Wen"	0.073756
Tverdovsky	0.0737193
"Fabrizio Ravanelli"	0.0736711
Burrell	0.0736404
"Lothar Matthaeus"	0.0735569
Lassiter	0.0732892
"Gianluca Pagliuca"	0.0731903
"Cesar Sampaio"	0.0730676
Lieberthal	0.0728292
Ripken	0.07281
Reichel	0.0727149
Plummer	0.072627
Audette	0.0726003
"Paul Gascoigne"	0.0720253
"Hristo Stoichkov"	0.0717173
"Dejan Savicevic"	0.0717098
Primeau	0.0715047
Jonsson	0.0714163
Gretzky	0.071259
"David Beckham"	0.0711344
"Wang Tao"	0.0710647
Kuchar	0.0709738
Lehtinen	0.0707804
"Marcel Desailly"	0.0707082
Forsberg	0.070573
MARBURY	0.070501
Sykora	0.0700666
"Raul Gonzalez"	0.0700651
Lindros	0.0700508
LeClair	0.0700416
Thuram	0.0699275
"Gheorghe Hagi"	0.0697474
Vialli	0.0695547
Harkes	0.0695293
"Wang Zhizhi"	0.0694686
Asprilla	0.069346
Nedved	0.0692924
Medvedev	0.0692857
striker	0.0692564
"Marc Overmars"	0.069181
Gomez	0.0691744
Hendrickson	0.0686285
Olajuwon	0.0684868
Kariya	0.068378
Zenga	0.0683335
Stoudamire	0.068143
"Guy Carbonneau"	0.0681318
Nieuwendyk	0.068042
Fedorov	0.0679422
Testaverde	0.0678596
"Carlos Valderrama"	0.0676694
Detmer	0.0675811
Berard	0.0675028
Surhoff	0.0674668
Bure	0.0674667
"Brett Hull"	0.0673888
Stockton	0.066956
"Cliff Ronning"	0.0667835
"Laurent Blanc"	0.0666324
"Yao Ming"	0.0664923
Duchesne	0.0664878
Elway	0.0664081
Artest	0.0662989
Langenbrunner	0.0661079
Fryman	0.0659436
Kerr	0.0658219
Tkachuk	0.0657044
Calloway	0.0656894
McDyess	0.0652579
Phills	0.0651811
Drury	0.0651459
Dele	0.065145
"Rebecca Lobo"	0.0650066
"Dwight Yorke"	0.0647748
"Cobi Jones"	0.0647677
Griese	0.0647481
WARRICK	0.0647397
Barrie	0.0647373
Oliveira	0.064569
"Glen Murray"	0.0645318
"Oliver Bierhoff"	0.0644806
Norstrom	0.064476
"Bubby Brister"	0.0644646
ALLISON	0.0644412
Hatcher	0.0644375
Wohlers	0.0644152
Modano	0.0643571
Bourque	0.0641347
Baerga	0.064089
"Thomas Haessler"	0.064064
"Ziggy Palffy"	0.0640207
Polgar	0.064011
"Raul Diaz Arce"	0.0639096
"Warren Moon"	0.063883
Tupa	0.0637563
Nakata	0.0635889
"Grant Long"	0.0635855
Chmura	0.0635634
"Hu Weidong"	0.0634229
Matvichuk	0.0633363
Dilfer	0.0633119
"Jaromir Jagr"	0.063283
))
(Baghdad (desc 74953.1) (sims
Iraq	0.252861
BELGRADE	0.230606
Tehran	0.214802
CAIRO	0.201704
Moscow	0.197299
ANKARA	0.196495
Beirut	0.186073
Islamabad	0.185934
Khartoum	0.183085
Amman	0.18015
Tripoli	0.178092
Damascus	0.177405
Riyadh	0.170655
Kabul	0.160104
"Tel Aviv"	0.159733
BEIJING	0.158568
"New Delhi"	0.157792
Havana	0.15738
PYONGYANG	0.156591
Jakarta	0.154535
SEOUL	0.154104
Nairobi	0.153796
Luanda	0.152368
Libya	0.151234
Asmara	0.150251
KIEV	0.14615
BRUSSELS	0.145395
Geneva	0.143094
Manila	0.143054
"Addis Ababa"	0.142861
Washington	0.141984
Freetown	0.14172
Pretoria	0.140963
Algiers	0.140672
Sarajevo	0.140407
Tokyo	0.140324
Pristina	0.140188
Israel	0.14018
Kinshasa	0.13905
TIRANA	0.138908
LONDON	0.13765
Kigali	0.136636
Dushanbe	0.136386
HANOI	0.136374
KAMPALA	0.136142
Bangkok	0.134779
Yugoslavia	0.134249
BUCHAREST	0.133814
"Phnom Penh"	0.133374
Bonn	0.132859
Kuwait	0.132342
BOGOTA	0.130957
ATHENS	0.130943
"Mexico City"	0.13019
Rome	0.130124
Vienna	0.12888
Belfast	0.128498
Paris	0.128477
DHAKA	0.127972
Grozny	0.127879
Lusaka	0.127775
COLOMBO	0.127078
HARARE	0.126834
JOHANNESBURG	0.125808
Iran	0.125683
"Kuala Lumpur"	0.124542
Gaza	0.124494
Istanbul	0.123356
ZAGREB	0.123107
SOFIA	0.122771
Minsk	0.122547
Lebanon	0.122481
NICOSIA	0.121663
Lima	0.121659
MANAMA	0.121181
CARACAS	0.120906
WARSAW	0.120381
MAPUTO	0.120281
JERUSALEM	0.119514
Bujumbura	0.119231
Syria	0.118929
Dili	0.118821
LISBON	0.118566
Pakistan	0.118025
Santiago	0.11747
SANAA	0.117011
TUNIS	0.116884
Sudan	0.116838
"Abu Dhabi"	0.116196
Monrovia	0.115649
Berlin	0.115504
Afghanistan	0.115418
BUDAPEST	0.11541
Madrid	0.114442
"Dar es Salaam"	0.114392
Doha	0.113754
"Cape Town"	0.113696
"Buenos Aires"	0.113197
Turkey	0.11311
Lagos	0.112738
YANGON	0.112616
"North Korea"	0.112561
Tbilisi	0.112555
Kandahar	0.111634
"Saudi Arabia"	0.110692
Quito	0.110031
Skopje	0.109298
Helsinki	0.1092
Mogadishu	0.109058
Prague	0.108985
Tashkent	0.108735
"Guatemala City"	0.108696
Dublin	0.108399
Serbia	0.108081
capital	0.107578
Managua	0.106518
"Saddam Hussein"	0.106444
Saddam	0.106017
Egypt	0.104201
Bahrain	0.103024
STOCKHOLM	0.102475
Chechnya	0.10133
Cuba	0.101061
Abuja	0.100995
Kosovo	0.100974
Eritrea	0.100608
Baku	0.100438
Gaborone	0.0992658
Maseru	0.0991782
"KUWAIT CITY"	0.0986152
TEGUCIGALPA	0.0981793
India	0.0980364
Accra	0.0976097
Cyprus	0.0975547
Kathmandu	0.0975528
Taliban	0.0973171
"United Nations"	0.0970135
Algeria	0.096366
Ottawa	0.0960159
Abidjan	0.0958245
Lahore	0.0956631
Jeddah	0.0956353
Bissau	0.0952286
Angola	0.0948858
"United States"	0.0947403
"Santo Domingo"	0.0936696
Oslo	0.093621
Rabat	0.0936142
Ethiopia	0.0934533
Windhoek	0.0933474
Srinagar	0.0928709
Ramallah	0.0924802
Shanghai	0.0922418
Cambodia	0.0919405
"San Salvador"	0.0918339
Taipei	0.0918284
UNITA	0.0917558
Albania	0.0908783
Russia	0.0907684
Frankfurt	0.0907186
Singapore	0.0905288
China	0.0901584
Durban	0.0901429
Milosevic	0.089701
"Sierra Leone"	0.0894599
Yemen	0.0892356
government	0.0889725
BRASILIA	0.088916
Greece	0.0888266
Britain	0.0887848
Qatar	0.0887101
Taiwan	0.0885488
UNSCOM	0.0885334
country	0.0881762
Nigeria	0.08804
Karachi	0.0877265
"St. Petersburg"	0.0876872
"New York"	0.0875033
"Los Angeles"	0.0874665
Lome	0.0868213
Jordan	0.086747
Amsterdam	0.0866676
Japan	0.0866293
Teheran	0.0863852
"Hong Kong"	0.0863828
city	0.0862494
Macedonia	0.0861412
"Middle East"	0.0858681
Vilnius	0.0853683
Vietnam	0.0852699
"Security Council"	0.0850623
Sydney	0.0849536
"South Africa"	0.0849187
Honduras	0.0847947
"U.N. Security Council"	0.0845669
DUBAI	0.0844804
Kremlin	0.0838554
Indonesia	0.0838417
Rwanda	0.0837634
Brazzaville	0.083648
))
(bagpipe (desc 2910.66) (sims
fiddle	0.184821
banjo	0.175418
bagpiper	0.162388
saxophone	0.158738
mariachi	0.155804
harmonica	0.146566
clarinet	0.143411
trumpet	0.140282
harpsichord	0.127593
Tabla	0.119663
"acoustic guitar"	0.119377
Zydeco	0.119217
"steel guitar"	0.11481
"electric guitar"	0.111876
"Star-Spangled Banner"	0.107952
guitar	0.107822
Flute	0.107061
mandolin	0.105452
drum	0.105287
cymbal	0.102746
fife	0.101872
tuba	0.101284
merengue	0.100826
oboe	0.100588
trombone	0.0994945
dirge	0.0988745
klezmer	0.0970457
violin	0.0964727
Sax	0.095998
Marimba	0.0929349
percussion	0.0876938
cello	0.0859567
bluegrass	0.0854134
woodwind	0.0826578
Bongo	0.0821683
"folk music"	0.0817842
SKA	0.0814201
"string quartet"	0.0801929
"Amazing Grace"	0.079919
Chime	0.079826
calypso	0.0783255
"national anthem"	0.0774187
harp	0.0753682
"French horn"	0.0748277
"musical instrument"	0.0747167
hymn	0.0743124
croquet	0.0733917
oldies	0.0723968
"brass band"	0.0722889
polka	0.0721527
"first CD"	0.0717009
firework	0.0711763
espanol	0.0708077
Siren	0.0703519
samba	0.0702752
choir	0.0695398
trance	0.0672932
"rock and roll"	0.0662476
Afro-Cuban	0.0657263
ragtag	0.0649188
"audio CD"	0.0648753
"folk song"	0.0647952
"folk dance"	0.0647315
taps	0.0640161
Tex-Mex	0.063184
Motown	0.0630468
synthesizer	0.0621866
dulcimer	0.0608572
"sound effect"	0.0608039
lute	0.060563
"church bell"	0.0603421
"country music"	0.0601046
waltz	0.0595629
"pipe organ"	0.05935
"theatrical performance"	0.0593383
salsa	0.0589457
blackjack	0.0579479
"military band"	0.0572109
"Phenix City"	0.0571026
"musical chair"	0.0565893
mime	0.056143
hammering	0.0556342
wailing	0.0554079
Gong	0.0548541
firecracker	0.0547098
"chamber music"	0.0545651
pronoun	0.0544432
flamenco	0.0540259
Polgar	0.0539843
videogames	0.0537724
"Jimi Hendrix"	0.0532517
"car horn"	0.0531027
techno	0.0530245
Cajun	0.0529375
masquerade	0.0525627
rumba	0.0522624
hardcore	0.0519956
Reggae	0.0519531
grunge	0.0518367
jackhammer	0.0516881
singing	0.0514357
DJ	0.0511587
"classical music"	0.0507586
"swing music"	0.0507237
electronica	0.0504486
"computer game"	0.0498703
Ellington	0.0497046
skit	0.0493656
"chamber orchestra"	0.0492078
"dance music"	0.0489684
"Beastie Boys"	0.0486122
accordion	0.0484185
MP@	0.0483811
Bingo	0.0480605
fulltime	0.0478895
clapping	0.0477877
bluesy	0.0476661
processional	0.0474607
chopstick	0.0473558
"West Side Story"	0.0472299
"Golden Bear"	0.0470542
rhythm-and-blues	0.0469974
piper	0.0469203
Celtic	0.0466237
chanting	0.0464321
Scrabble	0.0463713
Monkees	0.0460861
Mimi	0.0456564
Mozart	0.0453702
acoustic	0.045276
kitschy	0.045232
"professional basketball"	0.0452036
Beatles	0.0450457
special-teams	0.0450299
"second fiddle"	0.0449474
lacrosse	0.0448195
verbiage	0.0447821
"big band"	0.0446751
"professional baseball"	0.0446562
"Bruce Springsteen"	0.0445031
bolero	0.044458
ragtime	0.044358
phonograph	0.0442911
"Dave Matthews"	0.0440377
roulette	0.0439862
Trumpets	0.0439821
"Liberty Bell"	0.0435454
kettle	0.0434384
globetrotter	0.0433775
"Dynamo Kiev"	0.0431686
"American football"	0.0431636
Scrooge	0.0431349
Mexican-American	0.0429616
drumbeat	0.0429084
pinball	0.0427695
"R&AMP;B"	0.0427146
Powerball	0.0425435
tumbler	0.0424882
acrobat	0.042436
"water polo"	0.0424282
chariot	0.0423243
Lullaby	0.0421727
part-timer	0.0420827
"Grateful Dead"	0.0419959
"loud noise"	0.0419925
popping	0.0419478
"spoken word"	0.041918
honky-tonk	0.0419052
mirth	0.0418657
minstrel	0.0418508
solitaire	0.0416035
mambo	0.0415452
"Los Angeles Galaxy"	0.041462
deejay	0.0411481
"honor guard"	0.0410756
"rock band"	0.0409885
raindrop	0.0409601
"Burt Bacharach"	0.0409549
pageantry	0.0409545
Ojai	0.0406635
rawhide	0.0406196
acrobatics	0.0405639
"game of chance"	0.0405593
"Jimmy Buffett"	0.0404915
juggler	0.0404894
Sim	0.0402446
))
(bagpiper (desc 1190.45) (sims
bagpipe	0.162388
trumpeter	0.108759
flutist	0.107768
piper	0.089023
"brass band"	0.0813407
"church bell"	0.0802893
"North Carolinian"	0.0746907
ex-convicts	0.0703665
"little leaguer"	0.0701471
lass	0.0659526
organist	0.0658544
dirge	0.0656576
picketers	0.0640202
juggler	0.0633699
courtesan	0.0627335
inductee	0.0626915
tyke	0.062244
"test pilot"	0.0619006
sommelier	0.0612323
rebounders	0.061114
"ballet dancer"	0.0608412
dissenter	0.0607844
adventurer	0.0596803
fife	0.0594269
"manor house"	0.0591994
"Sean Farnham"	0.0589952
Irishmen	0.0582686
percussionist	0.0579719
feline	0.0572834
wideouts	0.056629
clarinetist	0.0564876
Frenchmen	0.0562995
frontrunners	0.056278
kindergartners	0.0562241
"acoustic guitar"	0.0559158
"booking agent"	0.055762
cellist	0.0557569
"Spinal Tap"	0.0557233
mallard	0.0549584
"military band"	0.0548694
creche	0.0539958
"dance band"	0.0539509
"symphony orchestra"	0.0529069
"young actress"	0.0524135
Radojevic	0.0523731
footballer	0.0521275
brogue	0.0520273
infantryman	0.051789
"Hail Mary"	0.0516979
QBs	0.0516742
"major-league team"	0.051515
fiddler	0.0514855
holdover	0.0514718
"Vienna Philharmonic"	0.0513276
"chamber orchestra"	0.0506157
Klansmen	0.0502218
"tea set"	0.0500711
"Big Unit"	0.0498545
closers	0.0495537
drummer	0.049452
crewmembers	0.0493072
"service break"	0.0491877
"purchasing agent"	0.0481873
"Southwest Conference"	0.0478905
sentry	0.0477736
"Isaiah Rider"	0.0477678
goaltenders	0.047756
Fiedler	0.047508
Monkees	0.0474592
"ballet company"	0.0473992
speller	0.0473031
upperclassmen	0.0472451
planeloads	0.0471175
guardsmen	0.0468595
workmen	0.0467006
"landscape architect"	0.0466695
"high wire"	0.046628
Sehorn	0.0463929
heckler	0.0463349
mezzo-soprano	0.0463249
enactors	0.0463115
Bierhoff	0.0462673
"major leaguer"	0.0462482
"garment worker"	0.0460078
major-leaguers	0.0458742
DJ	0.0458579
"wedding party"	0.0457368
"ball club"	0.0456705
houseguest	0.0455606
Phish	0.0454477
nobleman	0.0453698
lightbulb	0.0453137
"Boston Pops"	0.0452307
"milk cow"	0.0447718
"Glasgow Rangers"	0.0446028
pinch-hitters	0.0445552
"landscape painting"	0.044452
"Windrell Hayes"	0.0443855
"basketball season"	0.0440235
"sea captain"	0.0438743
quarterfinalists	0.0436401
rappers	0.0435347
tribesman	0.0434319
Santoro	0.0433109
Caddy	0.0433008
"No. @s"	0.0432875
dockworkers	0.0431582
backhoe	0.0431475
Hollins	0.0430511
"medical practice"	0.0430423
motorcyclists	0.0430338
multimillionaires	0.0429787
cager	0.0429631
Goran	0.0427311
cabinetmaker	0.0427075
Muir	0.042657
chieftain	0.0425011
"Amazing Grace"	0.0424039
spacewalkers	0.0423955
co-owners	0.0423764
cosmonaut	0.0423697
"three pitchers"	0.042346
"musical group"	0.0423448
"piano player"	0.0423224
distillery	0.0423054
Boller	0.0422935
prelate	0.0421684
schoolgirl	0.0420711
"water fountain"	0.0419461
midshipmen	0.0418698
saxophone	0.0418374
Durant	0.0416541
Sioux	0.0415856
two-mile	0.0415762
knickknacks	0.0415411
distiller	0.0415008
tacklers	0.0414145
accordion	0.0414013
Dumpsters	0.0413595
tartan	0.0411672
"honor guard"	0.0410901
kilt	0.0410848
Unitas	0.0409961
alum	0.0409203
enlistee	0.0409148
neo-Nazis	0.0408139
collegian	0.0407588
"military man"	0.0406577
Timms	0.0406033
DeVito	0.0405804
marksman	0.0405277
"Allen Doyle"	0.0404443
"Texas ranger"	0.040422
businesswomen	0.0402875
quarterfinalist	0.0402012
sextet	0.0401605
))
(baguette (desc 4547.19) (sims
"French bread"	0.190918
bread	0.135
brioche	0.131208
mozzarella	0.119975
salami	0.118531
"white bread"	0.117309
"red onion"	0.108266
prosciutto	0.105882
loaf	0.105096
eggplant	0.100496
"roast beef"	0.0967246
"water chestnut"	0.0944775
Parmigiano-Reggiano	0.0933129
cucumber	0.092077
croissant	0.0920429
"Swiss cheese"	0.0904355
"red bell pepper"	0.0897355
zucchini	0.0895722
bagel	0.0878711
"vanilla bean"	0.0854708
"green pepper"	0.0834886
"red pepper"	0.0820817
"chicken breast"	0.0820038
"loaf of bread"	0.0817087
nectarine	0.0814879
kumquat	0.0813256
ham	0.0793125
avocado	0.0772421
bacon	0.0765996
scone	0.0759457
"pound cake"	0.0758765
cake	0.0758503
pineapple	0.0751009
onion	0.0748811
melon	0.0748231
quiche	0.074168
"smoked salmon"	0.0737199
carrot	0.0736452
brisket	0.0735799
tomato	0.073524
"bell pepper"	0.0732693
scallion	0.0731793
pie	0.0728342
meatloaf	0.0720646
watermelon	0.0718654
steak	0.071238
lemon	0.0709755
sausage	0.070866
polenta	0.070548
jalapeno	0.0705088
muffin	0.0704109
carry-on	0.0701488
pear	0.0700767
pastry	0.0696109
sandwich	0.069209
"foie gras"	0.0689691
mango	0.0684214
tortilla	0.0684179
fennel	0.0677948
pancetta	0.067533
asparagus	0.067464
cantaloupe	0.0671875
biscotti	0.0671442
bun	0.0666116
pastrami	0.0662712
noodle	0.0656299
brie	0.0654905
pickle	0.0652391
"green onion"	0.0650879
"hard-boiled egg"	0.0646045
"apple pie"	0.0645468
crepe	0.064423
shallot	0.0642653
"Louis Vuitton"	0.0641464
"black olive"	0.0635526
radish	0.0633671
fillet	0.0632151
pizza	0.0630348
biscuit	0.0630037
parquet	0.0629987
"chocolate cake"	0.0625918
celery	0.0625092
"grocery bag"	0.0623129
"potato chip"	0.0617814
HERMES	0.0615877
lime	0.0605602
beet	0.0601213
"goat cheese"	0.0600635
satchel	0.0591948
"garlic clove"	0.0591561
doughnut	0.0591557
plantain	0.0591515
Fendi	0.0584841
popcorn	0.0583033
handbag	0.0577343
parsnip	0.0576929
Cheddar	0.0575152
artichoke	0.0573988
cooky	0.0573002
cabbage	0.0572722
"shiitake mushroom"	0.0572144
"mink coat"	0.0571394
ginger	0.0570332
croutons	0.0563542
"cheddar cheese"	0.0563321
shortcake	0.0562279
pancake	0.0560701
peach	0.0560493
cracker	0.0553858
"pumpkin pie"	0.0549836
Pudding	0.0549199
breadcrumb	0.0549195
porcini	0.0548155
banana	0.0544818
cornbread	0.0542958
workroom	0.0542844
TART	0.0540727
pasta	0.0539436
tuna	0.0536195
truffle	0.0535788
almond	0.0535277
"pork tenderloin"	0.0532898
"raw meat"	0.0530388
pork	0.0529623
cheesecake	0.0529525
sushi	0.0527872
donut	0.0525775
sashimi	0.0525383
cauliflower	0.0523116
"green salad"	0.0522209
walnut	0.0521335
julienne	0.0515365
"corned beef"	0.051307
Garlic	0.0512976
Chili	0.0508337
cardboard	0.0507457
fruitcake	0.0503845
"bowling ball"	0.050309
Bologna	0.0500727
Casserole	0.050071
"canned goods"	0.0497931
leek	0.0496951
"iceberg lettuce"	0.0495102
cookie	0.0490707
papaya	0.0490105
cheesecloth	0.0489714
cupcake	0.0489432
Quince	0.0487391
brownie	0.0486812
veal	0.0482931
dough	0.0482417
snakeskin	0.0481877
ravioli	0.0481822
"pie shell"	0.0480151
"layer cake"	0.0480112
"Earth's crust"	0.0477157
"citrus fruit"	0.047354
candy	0.047078
macaroni	0.0467256
wafer	0.046397
lard	0.0463818
crust	0.0463133
"cherry tomato"	0.0462451
O'Meara's	0.0462012
dessert	0.0461901
"green olive"	0.0458996
appetizer	0.0457697
waffle	0.0457468
Carpaccio	0.0453363
slit	0.0452947
jelly	0.0452309
plum	0.0451713
Basil	0.045037
"pumpkin seed"	0.0447998
"pine nut"	0.0447737
"sweet potato"	0.0445964
barley	0.0444782
caviar	0.0444317
"plum tomato"	0.044428
baloney	0.0444049
"tuna fish"	0.0441419
diaper	0.0439525
"fishing line"	0.0439
crumb	0.0438132
lettuce	0.0437369
okra	0.0436867
chive	0.0436807
"powdered milk"	0.0436585
tenderloin	0.0436176
"pecan pie"	0.0434138
florets	0.0434048
"ice cream"	0.0432922
"chicken salad"	0.0432669
"fountain pen"	0.0432162
holster	0.0429927
"birthday cake"	0.0429845
meatball	0.0429729
"duffel bag"	0.0429666
chevre	0.0427986
"hot dog"	0.0426356
))
(Bagwell (desc 9135.16) (sims
"Jeff Bagwell"	0.356906
Biggio	0.265903
"Ricky Gutierrez"	0.251663
"Craig Biggio"	0.228303
Alfonzo	0.225744
"Ken Caminiti"	0.223871
"Bill Spiers"	0.222018
Caminiti	0.217813
"Derek Bell"	0.216702
"Tony Eusebio"	0.211899
"Richard Hidalgo"	0.207469
"Jay Bell"	0.201712
Spiers	0.199597
Alou	0.19767
Karros	0.190249
Olerud	0.181103
"Moises Alou"	0.181056
Rolen	0.178555
Vidro	0.177441
"Lance Berkman"	0.176667
"Edgardo Alfonzo"	0.175655
"Marvin Benard"	0.173637
"Carl Everett"	0.173617
Fullmer	0.172852
Glaus	0.171688
"Matt Williams"	0.16967
Helton	0.167464
Bordick	0.166496
Hidalgo	0.165754
"Chipper Jones"	0.164737
Higginson	0.164114
Lankford	0.163784
Thome	0.16196
"Damian Miller"	0.16053
Erstad	0.157674
Grudzielanek	0.155884
"Warren Morris"	0.154072
"Mark Loretta"	0.154013
"Jim Thome"	0.153441
"John Olerud"	0.153327
Palmeiro	0.153287
"Benny Agbayani"	0.152695
Zeile	0.151898
"Scott Spiezio"	0.151708
Bichette	0.151274
Cirillo	0.150813
"Tim Bogar"	0.150339
"Eric Karros"	0.150189
"Geoff Jenkins"	0.149786
"Matt Lawton"	0.149507
Canseco	0.149503
"Roger Cedeno"	0.149414
Abreu	0.148875
"Eric Owens"	0.148353
"Jason Giambi"	0.148251
"Todd Helton"	0.147769
"Gary Sheffield"	0.147326
"Tino Martinez"	0.14708
"Joe Randa"	0.146616
Giambi	0.146203
Klesko	0.145642
"Kevin Young"	0.145343
"Scott Rolen"	0.145013
Burnitz	0.144523
"Robin Ventura"	0.144205
Delgado	0.144092
"Preston Wilson"	0.143211
Sexson	0.14321
Agbayani	0.143193
Sosa	0.143096
"Paul Konerko"	0.143014
"Todd Zeile"	0.142756
Piazza	0.142753
"Andruw Jones"	0.14251
Garciaparra	0.142431
"Mike Piazza"	0.142206
"Rafael Palmeiro"	0.141793
"Tim Salmon"	0.141693
Ordonez	0.141542
Vaughn	0.141505
"Troy Glaus"	0.140935
"Rich Aurilia"	0.139629
"Darin Erstad"	0.139377
Aurilia	0.139285
Cedeno	0.138585
Mondesi	0.13853
"Vladimir Guerrero"	0.138302
Galarraga	0.138284
Valentin	0.138195
Dunston	0.137559
"Phil Nevin"	0.137493
"Jorge Posada"	0.137332
"Mark Grace"	0.137181
"John Vander Wal"	0.136773
Daubach	0.136622
Hollins	0.136514
Boone	0.136176
"Shawn Green"	0.135802
Catalanotto	0.135787
"Bobby Abreu"	0.135698
"David Bell"	0.135286
"Bernie Williams"	0.135125
"Travis Fryman"	0.134814
"Bill Mueller"	0.134619
"Sean Berry"	0.134548
Ripken	0.133729
Renteria	0.133484
Segui	0.132981
Surhoff	0.13275
"Manny Ramirez"	0.132568
"Bobby Higginson"	0.132481
"David Ortiz"	0.132126
"Tony Womack"	0.132125
"Jim Leyritz"	0.132122
Batista	0.13202
"Mark Kotsay"	0.131384
"Travis Lee"	0.13119
Jeter	0.131153
Brosius	0.130999
Gwynn	0.130756
"Jose Offerman"	0.130741
"Carlos Delgado"	0.130735
Alomar	0.130134
"Paul Bako"	0.12998
"Jeff Conine"	0.129694
"J.T Snow"	0.129469
"Andres Galarraga"	0.129294
McGriff	0.129238
"Fred McGriff"	0.128838
Ramirez	0.12882
Everett	0.128754
"Ryan Klesko"	0.128614
"Deivi Cruz"	0.128268
"Carlos Lee"	0.128236
"Todd Pratt"	0.127971
Tejada	0.126928
Tatis	0.126776
Burks	0.126543
Lieberthal	0.126271
"Derrek Lee"	0.126202
"Brian Jordan"	0.126025
Lofton	0.125607
"Dean Palmer"	0.1254
"Javy Lopez"	0.125089
"Jose Vidro"	0.125039
"Ron Coomer"	0.125033
"Matt Stairs"	0.124475
Fryman	0.124225
"Jason Kendall"	0.124215
Castilla	0.1241
"Russ Johnson"	0.123937
"Marquis Grissom"	0.12363
"Damian Jackson"	0.123222
"Brian Giles"	0.122955
"Brian Daubach"	0.122782
"Jose Hernandez"	0.122523
"Eddie Taubensee"	0.122122
grieve	0.122118
Rodriguez	0.121889
Griffey	0.121615
Gant	0.121509
"Ken Griffey Jr."	0.121447
"Mike Stanley"	0.121283
"Chuck Knoblauch"	0.121176
"Desi Relaford"	0.120939
"Luis Gonzalez"	0.120801
"Scott Brosius"	0.120692
"Tony Gwynn"	0.120517
Sheffield	0.120467
Veras	0.12025
McGwire	0.120237
"Andy Fox"	0.120163
"Garret Anderson"	0.119951
"Henry Rodriguez"	0.119943
Alicea	0.119857
"Steve Finley"	0.119764
"Jeff Cirillo"	0.119745
"John Valentin"	0.119585
DeShields	0.119506
"Alex Gonzalez"	0.119356
Glanville	0.119173
"Jeff Kent"	0.119116
"Barry Larkin"	0.119106
Womack	0.11895
"Gerald Williams"	0.118489
"Barry Bonds"	0.118484
"Richie Sexson"	0.11846
"Luis Alicea"	0.118064
Kapler	0.117742
"Nomar Garciaparra"	0.117712
"Butch Huskey"	0.117695
"Fernando Vina"	0.117387
"Todd Hundley"	0.117338
"Dmitri Young"	0.117336
Knoblauch	0.116867
Hundley	0.116844
"Daryle Ward"	0.116675
"Mark Grudzielanek"	0.116615
"Mike Sweeney"	0.116535
"Quilvio Veras"	0.116355
"Eric Young"	0.11608
"Bruce Aven"	0.115964
"Jose Valentin"	0.115941
Ledee	0.115453
"Troy O'Leary"	0.115005
"Mo Vaughn"	0.114912
"Jim Edmonds"	0.114732
"Kelly Stinnett"	0.114655
"Brian Hunter"	0.11463
"Tony Batista"	0.11451
"Wally Joyner"	0.114497
"Derek Jeter"	0.114334
"Eric Chavez"	0.114331
"Mark McLemore"	0.114252
"Brian McRae"	0.114158
"Miguel Tejada"	0.113834
"Mike Lieberthal"	0.113791
"Will Clark"	0.113791
"Brad Ausmus"	0.113646
Nevin	0.113635
"Johnny Damon"	0.113579
"B.J Surhoff"	0.113044
"Darren Lewis"	0.113032
Eusebio	0.113019
"Frank Thomas"	0.112958
"Juan Gonzalez"	0.112768
Finley	0.112449
"Jay Buhner"	0.1124
"Joe Girardi"	0.112278
"Erubiel Durazo"	0.111949
"Pat Meares"	0.111807
"Dave Hansen"	0.111789
Ausmus	0.111737
"Tony Clark"	0.111669
"Mickey Morandini"	0.111591
Elster	0.111497
"Dante Bichette"	0.111439
Beltran	0.111412
"Melvin Mora"	0.111362
"Michael Tucker"	0.111353
Gonzalez	0.111301
Hatteberg	0.111287
"Brady Anderson"	0.111238
"Adam Kennedy"	0.110804
"Charles Johnson"	0.110605
"Bengie Molina"	0.110155
McLemore	0.10996
"Bubba Trammell"	0.109794
"Doug Glanville"	0.109575
"Ray Durham"	0.109462
"Rondell White"	0.109314
"Ron Gant"	0.109283
"Paul O'Neill"	0.109151
"Kenny Lofton"	0.109098
"Quinton McCracken"	0.108453
Varitek	0.10787
"Ben Grieve"	0.107687
Leyritz	0.107586
"Mike Cameron"	0.107543
Velarde	0.107093
Vizquel	0.107079
"Russ Davis"	0.106839
Randa	0.106702
"Jeromy Burnitz"	0.106695
"Joe McEwing"	0.106533
"Trot Nixon"	0.106211
"Todd Walker"	0.106172
Baines	0.106163
"Jeffrey Hammonds"	0.106157
"Jose Canseco"	0.106072
"Mitch Meluskey"	0.105998
"Brad Fullmer"	0.105939
"Ivan Rodriguez"	0.105797
DiSarcina	0.105453
"Damion Easley"	0.1052
"Miguel Cairo"	0.10511
"Cristian Guzman"	0.104797
"Neifi Perez"	0.104691
"Matt Franco"	0.104644
Offerman	0.104638
"Greg Vaughn"	0.104609
"Harold Baines"	0.104266
McRae	0.104083
"Larry Walker"	0.103871
"Jose Guillen"	0.103342
Stinnett	0.103281
"Adrian Beltre"	0.103214
Buhner	0.103156
"Orlando Palmeiro"	0.103129
"Ruben Rivera"	0.102791
"Mike Bordick"	0.102761
Larkin	0.102753
"Raul Mondesi"	0.102745
"Bret Boone"	0.102666
Gilkey	0.102507
"Cliff Floyd"	0.102466
"Edgar Martinez"	0.102441
belle	0.10239
"Ricky Ledee"	0.10233
"Craig Counsell"	0.10227
"Jason Varitek"	0.102212
"Tom Goodwin"	0.10201
"Sean Casey"	0.101956
"Terrence Long"	0.101519
Bautista	0.101465
Frye	0.101263
"Roberto Alomar"	0.10114
Mora	0.100852
Cabrera	0.100536
"Corey Koskie"	0.100054
))
(Bahamas (desc 22965.9) (sims
Barbados	0.16237
"Dominican Republic"	0.157399
Jamaica	0.154538
Bermuda	0.148455
"Puerto Rico"	0.1465
Caribbean	0.138801
"Trinidad and Tobago"	0.136886
Honduras	0.13366
"Cayman Islands"	0.133603
"British Virgin Islands"	0.130604
"Costa Rica"	0.128664
"El Salvador"	0.127417
Guatemala	0.121636
Nicaragua	0.119231
Antigua	0.119114
Cuba	0.118574
Haiti	0.116647
Venezuela	0.116174
Grenada	0.114906
"U.S. Virgin Islands"	0.11156
Panama	0.111231
Mexico	0.110748
Belize	0.109525
"Netherlands Antilles"	0.109513
Colombia	0.106708
Hawaii	0.106434
Dominica	0.105588
Guam	0.10454
Alaska	0.103865
"Virgin Islands"	0.10264
Aruba	0.102626
Iceland	0.102359
Florida	0.102171
Ecuador	0.101905
Canada	0.101801
Peru	0.100553
"Florida Keys"	0.0993029
Ireland	0.0978964
"Key West"	0.097172
Tahiti	0.0965203
Uruguay	0.0957411
"Papua New Guinea"	0.0951472
Martinique	0.0942627
Guyana	0.092471
"New Zealand"	0.092197
Switzerland	0.0917777
CANCUN	0.0913117
Australia	0.0912918
Greece	0.0907884
"Ivory Coast"	0.0906221
Argentina	0.090037
"South America"	0.0893564
Italy	0.0889289
Nassau	0.0886485
Norway	0.0885473
Netherlands	0.0880459
Hispaniola	0.0870514
Spain	0.0869897
Bolivia	0.0867931
Malta	0.0863871
Scotland	0.0857394
Senegal	0.0857363
Havana	0.0856918
Seychelles	0.0851333
"Las Vegas"	0.0846891
England	0.084233
Fiji	0.0838422
Hungary	0.0837001
Paraguay	0.083197
Chile	0.0830592
Ghana	0.0829858
Mediterranean	0.0829648
"South Florida"	0.0821962
Sweden	0.0817352
California	0.0814068
Poland	0.0811228
Morocco	0.0810887
Ukraine	0.0810112
Belgium	0.0809615
Virginia	0.0809034
"North Carolina"	0.0808289
"Central American country"	0.080723
Finland	0.0804692
Suriname	0.080024
Philippines	0.0799887
Brazil	0.0798723
Algeria	0.0796114
Mauritius	0.0791866
Louisiana	0.0790282
Oklahoma	0.0780049
"Great Britain"	0.0778926
Bulgaria	0.0774442
"British Columbia"	0.0772935
"Central America"	0.0771446
France	0.077066
"Yucatan Peninsula"	0.0770017
"South Africa"	0.0769273
Luxembourg	0.0766296
"Mexico City"	0.0765822
Romania	0.0764847
Arkansas	0.0764274
Lithuania	0.0763466
"Santo Domingo"	0.0760335
Austria	0.0758328
Maine	0.0756725
Portugal	0.0752849
"Leeward Islands"	0.0752389
"Oklahoma City"	0.0748926
Thailand	0.074559
"Sri Lanka"	0.0743186
Sicily	0.0741774
Mali	0.0741541
Singapore	0.0738469
Kenya	0.0735234
island	0.073086
Egypt	0.0730835
Oregon	0.0730527
Tunisia	0.0729275
"New Orleans"	0.0729234
"New Mexico"	0.0727109
"Palm Springs"	0.0724295
Guinea	0.0722467
"New Jersey"	0.07221
"South Korea"	0.0721449
Qatar	0.0720934
Trinidad	0.0720838
Germany	0.0720236
Malaysia	0.0718686
Acapulco	0.071725
Nigeria	0.0715852
Phoenix	0.0715195
Honolulu	0.0711723
"Palm Beach County"	0.0711677
Georgia	0.0711133
Japan	0.0709078
SEOUL	0.0707465
Vermont	0.0707173
"Gulf of Mexico"	0.0705699
"St. Kitts and Nevis"	0.0703319
Estonia	0.0701396
Taipei	0.0699189
Hamburg	0.0696171
Naples	0.0696117
"San Juan"	0.0695275
"South Pacific"	0.0695114
"New England"	0.0694103
"St. Lucia"	0.069401
"Atlantic City"	0.0692583
Croatia	0.0692128
Wyoming	0.0691515
Madagascar	0.0690765
Denmark	0.0690024
Namibia	0.0689997
LONDON	0.0689213
"Los Angeles"	0.06861
Holland	0.0685758
Laos	0.068568
Oman	0.0683508
Uzbekistan	0.0682519
Amsterdam	0.0682262
Orlando	0.067923
Paris	0.0678331
Miami	0.0677743
"United Arab Emirates"	0.0677111
Pennsylvania	0.0675132
pacific	0.0672042
Kazakstan	0.0670718
"St. Vincent and the Grenadines"	0.067063
"Saudi Arabia"	0.0670187
Alabama	0.0669641
Wales	0.066945
Mozambique	0.0669108
"San Antonio"	0.0668899
"San Salvador"	0.0667206
BUDAPEST	0.0665484
Belarus	0.0664265
BOGOTA	0.0664125
"Tel Aviv"	0.066226
"Little Rock"	0.0661831
Colorado	0.0660997
"Fort Lauderdale"	0.0659883
Beirut	0.0659786
ZAGREB	0.0659504
Tampa	0.0658197
Cyprus	0.0657049
Montreal	0.0656418
Istanbul	0.0655727
Missouri	0.0655001
Mississippi	0.0653792
"San Diego"	0.0652863
Bahrain	0.0650197
"St. Petersburg"	0.0650039
Guadeloupe	0.0648285
Massachusetts	0.064827
cayman	0.0648242
Mongolia	0.0646768
Idaho	0.0645766
Kazakhstan	0.0644874
Memphis	0.0644871
Carolinas	0.0644732
))
(Bahia (desc 2014.54) (sims
"Minas Gerais"	0.161866
"Lower Saxony"	0.116308
"Quintana Roo"	0.104119
Antioquia	0.103616
Michoacan	0.102987
Zacatecas	0.0968104
"Sao Paulo"	0.0947091
Durango	0.0936843
Veracruz	0.0904981
Tamaulipas	0.0904284
Guanajuato	0.0901924
Hesse	0.0891412
Oaxaca	0.0858832
Saxony	0.0843937
Jalisco	0.0813031
Vitoria	0.0810786
Assam	0.0798764
Kedah	0.0793922
"West Bengal"	0.079344
Puebla	0.0782025
Sinaloa	0.0775644
Karnataka	0.077436
"Baja California"	0.0771312
"Rio de Janeiro"	0.0767101
Brandenburg	0.0761309
Salvador	0.0717237
Kerala	0.0714913
"Uttar Pradesh"	0.0712824
Haryana	0.0708233
"New South Wales"	0.0707711
Maharashtra	0.0699742
"South Australia"	0.0696532
Vinci	0.0695622
Kelantan	0.0686995
Gujarat	0.0677707
Pahang	0.0668996
"Himachal Pradesh"	0.0660558
"Western Australia"	0.0653059
Bavaria	0.0628214
Merida	0.0625952
Bihar	0.0625306
Tasmania	0.062309
PATNA	0.0622181
BRASILIA	0.0616542
capo	0.0607303
Morelos	0.0604836
"Damascus Declaration"	0.0603458
"Tamil Nadu"	0.0597545
Guerrero	0.0591655
Tabasco	0.0586249
Tigray	0.0585795
Siena	0.057404
chihuahua	0.0570388
Punjab	0.0564229
DAT	0.0563082
Lucknow	0.0561875
"Andhra Pradesh"	0.0561053
Perak	0.0556326
"Victoria Park"	0.0554908
"Madhya Pradesh"	0.0552687
Selangor	0.0533332
Kaduna	0.0531877
Srinagar	0.0525735
Sarawak	0.0514126
WHATSDOING	0.0505656
Ipswich	0.0504315
Sonora	0.0502851
Gama	0.0501045
"Rio Grande"	0.0498159
"Bible Belt"	0.0497676
Putumayo	0.0497395
Malacca	0.0496165
Para	0.0494178
Rostock	0.0486751
Krakow	0.0485274
Rajasthan	0.0480467
Orissa	0.0478837
Penang	0.0475075
confederacy	0.0472441
"East African Cooperation"	0.046902
Valle	0.0468136
Queensland	0.0465675
Edo	0.0465617
Latina	0.0465555
Kano	0.0462084
Plattsburgh	0.0456372
Johor	0.0454215
"Little Italy"	0.0451659
MONTEVIDEO	0.0445609
Sabah	0.0444103
Santander	0.043655
Kurdistan	0.0436382
disrepair	0.0428617
"Eastern Province"	0.0424527
Tex-Mex	0.0423873
Pampanga	0.0418153
Guadalajara	0.0415659
"New South"	0.0415166
Galilee	0.0414955
decomposition	0.0414705
Ljubljana	0.0412871
"Warsaw Pact"	0.0412373
Alcorn	0.0411563
sucre	0.0411431
Dosedel	0.0409614
"Rocky Mountain"	0.0407222
"North West Frontier Province"	0.0406137
"Central Java"	0.0406036
TEGUCIGALPA	0.0405512
"Delta State"	0.0403499
"Fulton County"	0.040237
"other eight"	0.0401397
Mbarara	0.0401285
))
(Bahrain (desc 28605.4) (sims
Qatar	0.271436
Oman	0.268956
Kuwait	0.23777
"United Arab Emirates"	0.236723
"Saudi Arabia"	0.234897
UAE	0.195957
Yemen	0.193354
Algeria	0.183284
Egypt	0.180343
Libya	0.179737
Tunisia	0.168893
Morocco	0.16653
Iran	0.159298
Syria	0.158643
Venezuela	0.149729
Pakistan	0.146572
Namibia	0.144721
Brunei	0.143199
Sudan	0.143016
Malaysia	0.139303
Uzbekistan	0.139074
DUBAI	0.138751
Armenia	0.138582
Turkey	0.137944
Jordan	0.136056
Kazakhstan	0.135857
"South Korea"	0.13501
Greece	0.134369
"Abu Dhabi"	0.132204
Kenya	0.131293
Bulgaria	0.131013
Singapore	0.13101
Nicaragua	0.130902
Peru	0.130531
Djibouti	0.130094
Hungary	0.129954
Eritrea	0.128651
Amman	0.128413
Nigeria	0.128075
Thailand	0.127955
Norway	0.126673
MANAMA	0.125522
Mauritania	0.125278
Ethiopia	0.124867
India	0.12484
Lebanon	0.124707
Azerbaijan	0.124298
Angola	0.123712
Ukraine	0.123519
Bangladesh	0.122942
Turkmenistan	0.122922
Finland	0.122626
"South Africa"	0.122584
CAIRO	0.122496
Indonesia	0.122086
Chile	0.121143
Argentina	0.120548
Senegal	0.120139
Gabon	0.120019
Doha	0.119553
emirate	0.119542
Kyrgyzstan	0.119433
"Sri Lanka"	0.119117
Cambodia	0.119035
Tehran	0.118962
Riyadh	0.118916
Damascus	0.118789
Israel	0.11856
Mauritius	0.118223
Uruguay	0.117928
Ecuador	0.117826
Luxembourg	0.117706
Romania	0.117505
Iraq	0.117319
Lithuania	0.117296
Mozambique	0.117066
Tanzania	0.117025
Poland	0.116878
Bolivia	0.116866
Tripoli	0.116858
Zimbabwe	0.116717
Guatemala	0.116698
Malta	0.115926
Albania	0.115669
Portugal	0.115314
Switzerland	0.115285
Cuba	0.115254
Ghana	0.114784
Cyprus	0.114709
Belarus	0.114443
Mali	0.113543
"Papua New Guinea"	0.112836
Uganda	0.112174
Mexico	0.112084
Iceland	0.112058
Australia	0.11205
Italy	0.111706
Nepal	0.111676
Botswana	0.111461
Japan	0.109488
France	0.109227
Colombia	0.108829
Macedonia	0.108802
Croatia	0.108758
Panama	0.108698
Guinea	0.108584
"Ivory Coast"	0.108356
"El Salvador"	0.107622
Afghanistan	0.10753
Britain	0.107522
Myanmar	0.107344
Vietnam	0.107028
Togo	0.106768
Laos	0.106691
Austria	0.106246
Zambia	0.106146
China	0.106141
"Burkina Faso"	0.105765
Palestine	0.105576
Moldova	0.105273
Brazil	0.105167
Gaza	0.104836
Russia	0.104738
Mongolia	0.104682
Germany	0.104595
Paraguay	0.104571
"New Zealand"	0.104539
"Costa Rica"	0.104525
Philippines	0.104516
Fiji	0.104487
Canada	0.104294
Slovenia	0.103136
Baghdad	0.103024
Khartoum	0.10294
Moscow	0.102846
Liberia	0.102602
Jamaica	0.102511
"North Korea"	0.102339
Asmara	0.102316
Honduras	0.10221
Islamabad	0.10191
Latvia	0.101566
Tajikistan	0.101229
Belgium	0.101227
Denmark	0.10055
Beirut	0.100443
Maldives	0.100031
ANKARA	0.1
Benin	0.0993692
Estonia	0.0987377
Madagascar	0.0983376
"Dominican Republic"	0.0982629
Yugoslavia	0.0981039
"New Delhi"	0.0978309
Haiti	0.0973063
Havana	0.0972449
Kandahar	0.097241
"Czech Republic"	0.0971007
Netherlands	0.0966687
Malawi	0.0964788
Spain	0.0963406
SEOUL	0.0962279
BEIJING	0.0962134
Niger	0.0959728
Slovakia	0.0959696
Geneva	0.0959464
KIEV	0.0959322
Barbados	0.0958492
Kazakstan	0.0957702
PYONGYANG	0.0946808
Swaziland	0.0944426
Kigali	0.0942765
"Trinidad and Tobago"	0.0940362
Cameroon	0.0927833
BRUSSELS	0.0927135
Burundi	0.0926581
Nairobi	0.0922439
"United States"	0.0913772
Bangkok	0.0910523
Lesotho	0.090815
Minsk	0.0906316
Manila	0.0904554
BELGRADE	0.0901043
"Sierra Leone"	0.0892678
Zanzibar	0.0890479
Taiwan	0.0889307
Ireland	0.0888796
Rwanda	0.088761
Bonn	0.0887237
Seychelles	0.088613
ZAGREB	0.0885763
ATHENS	0.0883864
"Kuala Lumpur"	0.0881015
"Phnom Penh"	0.0877576
Kabul	0.087592
"African country"	0.0875837
Jakarta	0.087411
Bhutan	0.0872245
Rome	0.0863594
"Hong Kong"	0.0861223
))
(Bahraini (desc 1910.03) (sims
Yemeni	0.203389
Cameroonian	0.165554
Sudanese	0.125062
Qatari	0.123268
Kuwaiti	0.123113
Jordanian	0.108324
Ashkhabad	0.0949088
"Saudi Arabian"	0.0930548
Saudi	0.091719
Senegalese	0.0892756
Libyan	0.0871099
Namibian	0.0831206
Macedonian	0.0802395
Tunisian	0.0797212
Al-Thani	0.0788222
Wilhelm	0.0780065
Venezuelan	0.0739843
Nepali	0.0691546
"Congo River"	0.0671642
Mongolian	0.0657627
Moroccan	0.0654684
Guinean	0.0636647
"naval forces"	0.0623292
trespasser	0.0623005
Moroni	0.0620802
Algerian	0.0613413
MANAMA	0.0606677
Manado	0.060461
"investment company"	0.0592022
seismologist	0.0582955
"Osama Bin Laden"	0.0573696
"Lake Tanganyika"	0.0570243
Astana	0.0565416
"Brierley Investment"	0.0562244
Slovak	0.0558158
"major-league team"	0.0557801
Denpasar	0.0557636
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0557436
"Hail Mary"	0.0550709
Bamako	0.0544807
Charikar	0.0542104
PATNA	0.0539786
"Sierra Leonean"	0.0536052
Bangladeshi	0.0526193
townhouses	0.0522424
"Gulf Cooperation Council"	0.0509316
B-@s	0.0508915
"Nihon Keizai"	0.0506391
"Al Hayat"	0.0504816
Lucknow	0.0503643
Twenty-five	0.0503034
"Arab Parliamentary Union"	0.0501563
Kyrgyz	0.0499335
"Press Trust of India"	0.0497272
Nepalese	0.0495867
"Vanguard Index @@@"	0.0493531
Dushanbe	0.0492395
crewmembers	0.0488037
"Saudi Press Agency"	0.0485747
"Bank of Korea"	0.0483495
"Straits Times"	0.0478764
Talebi	0.0477947
"Boutros Boutros Ghali"	0.0477163
Jalalabad	0.0476222
Salvadoran	0.0468466
"city block"	0.0468279
"Athens News Agency"	0.0465651
Stayner	0.0462281
"Iranian Jews"	0.0461896
Okada	0.0460008
"East Timorese"	0.0459815
Malawian	0.0453707
Mbabane	0.0453658
"day laborer"	0.0453511
"fresh food"	0.0447978
"Business Day"	0.0447621
Jenoff	0.0446659
Surabaya	0.0444731
drownings	0.0441284
"Sheikh Saad"	0.0440234
MENA	0.043853
Carlson	0.0435496
al-Khalifa	0.0435008
Oregonian	0.0434727
Napolitano	0.0434706
Muscat	0.0434013
rickshaw	0.0431039
Tbilisi	0.0428412
Antara	0.0428343
"moving van"	0.0427024
no-decisions	0.0426525
Sheik	0.0426395
armymen	0.04251
whistleblowers	0.042226
"David Graham"	0.0421442
MiG-@@s	0.0420027
Ethernet	0.0419351
Guiyang	0.041914
Frenchmen	0.0418755
"Egyptian Gazette"	0.0416217
"Senate Budget Committee"	0.0416147
"Ante Razov"	0.0415106
Yerevan	0.0412421
Noriega	0.0412382
signer	0.0411785
"National Post"	0.0411743
Berenson	0.0410668
McKnight	0.0410085
"Human Immunodeficiency Virus"	0.040934
Koskinen	0.0405072
"Islamic Development Bank"	0.0402011
emir	0.0401369
"Business Times"	0.0401241
starts.	0.0400805
"foster child"	0.0400597
Gullit	0.0400592
))
(baht (desc 23084) (sims
rupiah	0.379904
peso	0.363886
"Philippine peso"	0.280277
rand	0.258755
rupee	0.251838
"Zimbabwean dollar"	0.23252
"Singapore dollar"	0.230618
yen	0.222857
leu	0.219489
Kwacha	0.21939
shilling	0.211598
currency	0.209979
"Australian dollar"	0.207855
ruble	0.20745
"South Korean won"	0.20507
ringgit	0.199056
Renminbi	0.194314
Naira	0.189093
rouble	0.179654
won	0.178821
yuan	0.178584
"Canadian dollar"	0.173983
taka	0.171556
"Hong Kong dollar"	0.171457
"New Zealand dollar"	0.161998
"Mexican peso"	0.161037
Euro	0.157346
"exchange rate"	0.153794
sucre	0.148201
zloty	0.145708
dinar	0.144007
drachma	0.140926
"Kenyan shilling"	0.135469
RMB	0.132649
"oil price"	0.130674
"US dollar"	0.130447
lev	0.125426
real	0.125351
"stock market"	0.12481
greenback	0.119701
dollar	0.112456
Nikkei	0.106266
"Indian rupee"	0.106057
"interest rate"	0.103932
hryvna	0.103121
Dong	0.101244
"bond price"	0.0982757
"currency market"	0.0969366
"Dow Jones Industrial Average"	0.0921456
kwanza	0.0914467
shekel	0.0912048
metical	0.0895387
"bond market"	0.0885963
price	0.086803
"British pound"	0.0865469
franc	0.0857046
"oil market"	0.0844724
lira	0.0840289
"inflation rate"	0.0816933
inflation	0.0803189
"foreign exchange"	0.0795649
sharemarket	0.0791925
stock	0.078546
"Straits Times Index"	0.0779376
index	0.0772873
"foreign exchange market"	0.0764219
Nasdaq	0.0760957
Stocks	0.0757412
"unemployment rate"	0.0755247
"Nikkei Stock Average"	0.0751222
"mortgage rate"	0.074595
Dow	0.0742907
Pound	0.0720082
"banking system"	0.0714781
liquidity	0.0708265
"Swiss franc"	0.0707404
Bourse	0.0686919
"equity market"	0.0683882
"blue-chip stock"	0.0680426
Kip	0.0677132
"retail sale"	0.0671991
bond	0.0665456
"consumer demand"	0.0656874
"Straits Times Industrials Index"	0.0645169
unemployment	0.064175
macro-economy	0.0636707
"Hang Seng Index"	0.0635522
inflow	0.0634002
depreciation	0.0633284
"Treasury bond"	0.0632826
"vehicle sale"	0.0627898
sterling	0.062678
"Philippine Stock Exchange"	0.0623016
"rate of inflation"	0.0621585
equity	0.0620973
Bolivar	0.0619789
"Wall Street"	0.0619307
"home sale"	0.0619265
"blue chip"	0.061523
"Hang Seng"	0.0614725
"consumer price index"	0.0608984
"Xetra Dax"	0.0605873
"trade deficit"	0.06016
"futures price"	0.0599791
volatility	0.0599542
earnings	0.0597193
Lei	0.0596161
"Hang Seng China-Affiliated Corporations Index"	0.0591872
joblessness	0.0586169
Sensex	0.0582305
"Philippine Stock Exchange Index"	0.0569165
"gas price"	0.0568083
devaluation	0.0565848
"water table"	0.0553809
"technology issue"	0.054336
"crude oil"	0.0542044
"monetary system"	0.0541327
"exchange market"	0.0540544
lire	0.0539611
"balance of payments"	0.0539122
interbank	0.0536925
STI	0.053577
"French franc"	0.0534775
Krone	0.0533856
"asset value"	0.0532436
competitiveness	0.053225
BSE-@@@	0.0531353
industrials	0.052679
"more than @@@ points"	0.0526729
GDP	0.0522151
euros	0.052097
"CAC @@"	0.0519862
output	0.0518967
borrowing	0.0518343
"labor cost"	0.051614
"growth rate"	0.0515405
"trade surplus"	0.0515097
"labor market"	0.0513892
"crime rate"	0.0513176
"profit margin"	0.0511973
cent	0.0511189
commodity	0.0510888
fluctuation	0.0510788
"birth rate"	0.0510345
"B share"	0.0509959
trading	0.0501098
"FTSE @@@"	0.0498124
sub-index	0.0496623
crude	0.0496177
"investor confidence"	0.0495421
turmoil	0.0492636
"housing market"	0.0492242
"occupancy rate"	0.0492212
"Sensitive Index"	0.04906
"central bank"	0.0489829
"money market"	0.0487776
"poverty rate"	0.0487124
"Industrial Index"	0.0486536
slowdown	0.0486137
turnover	0.0486121
"stock exchange"	0.0484793
"retail price index"	0.048387
"one dollar"	0.048132
"world economy"	0.0477303
"trade balance"	0.0474547
recovery	0.0474249
NPLs	0.0469842
"Karachi Stock Exchange"	0.0469033
"budget deficit"	0.0468507
"price index"	0.0466704
"market share"	0.04653
consumption	0.046468
deficit	0.0464078
"commercial bank"	0.0463728
sentiment	0.0462277
indices	0.046079
"fertility rate"	0.045737
"production cost"	0.0456735
"rate cut"	0.0455825
"Dow Jones"	0.0453917
"nearly @@@ points"	0.0453406
"Lion Nathan"	0.0452409
downturn	0.0451041
confidence	0.0449303
turbulence	0.044845
rating	0.044773
"producer price"	0.0447028
"financial institution"	0.0446937
CRA	0.0445607
"Composite Index"	0.0436361
"money supply"	0.0431779
outflow	0.0429899
"operating cost"	0.0429616
transaction	0.0427072
"market average"	0.0426484
"economic crisis"	0.0426045
"futures market"	0.0424683
instability	0.0424592
indicator	0.0424364
"truck sale"	0.0423475
))
(Bai (desc 2832.54) (sims
Zhuang	0.169057
Miao	0.165045
Yao	0.138066
Dai	0.126411
Hui	0.10899
Sha	0.106447
Zou	0.106436
Yi	0.10594
Ikimi	0.102188
Cui	0.101285
Han	0.100159
Cao	0.099886
Uygur	0.0994279
Yastrzhembsky	0.0984822
Manchu	0.0979696
Sheng	0.0974686
Yu	0.0956674
Kasoulides	0.0940571
Tu	0.0933801
Jia	0.0916899
guo	0.0912028
Wu	0.0910142
Xiao	0.0904136
Zhong	0.0883584
Cheng	0.0878177
Ruehe	0.0875674
Shen	0.0853674
LU	0.0853659
Dong	0.0824278
Velayati	0.0813249
Siazon	0.0807803
Grasso	0.0805203
Rong	0.0803879
Shi	0.079614
Kraus	0.0785157
Tian	0.0783708
Tsang	0.0778227
Hu	0.0774963
Markovic	0.0770489
Jing	0.0768614
Singson	0.0766977
Li	0.076557
Zhang	0.0760336
Boueiz	0.0756061
xu	0.0752922
Yang	0.0748049
Liang	0.0747849
wen	0.0747326
Guterres	0.0743783
Axworthy	0.0738356
Hani	0.0734091
Hou	0.0731402
Quintana	0.0718304
Liu	0.071506
Eizenstat	0.0702062
Qiao	0.0685249
Juma	0.0683981
Nzo	0.0683275
Qu	0.0682757
Naumann	0.0678256
Seleznyov	0.0677254
Peng	0.067638
Doherty	0.0674281
Gu	0.0674228
Wei	0.0671903
Bao	0.0671444
Shriver	0.06707
Rais	0.0670296
Nemtsov	0.0668698
Greenwald	0.0666641
Xie	0.0665674
Neulander	0.0665589
Rodionov	0.0662598
Zeng	0.0661716
Tung	0.0660438
Zhao	0.066016
Ogata	0.0659529
Ziegler	0.0657421
Ashrawi	0.0655247
Bhattarai	0.0651767
Fu	0.0648305
Rothenberg	0.0642867
Ren	0.0641921
Camdessus	0.0633686
Huang	0.0630734
Mongol	0.0629532
Ebersol	0.0629428
Hiett	0.0629356
Byers	0.0627397
Kern	0.0626208
Copeland	0.0625046
Hua	0.0624658
Sharma	0.062324
Ye	0.061797
Whaley	0.0617014
Zhou	0.0616944
Bulatovic	0.061681
Hallinan	0.0614685
Sahnoun	0.0613182
Chissano	0.0611888
Kono	0.06101
Lau	0.0602919
Mikhailov	0.06005
Hahn	0.0599022
Izetbegovic	0.0588845
Fink	0.0587669
Duisenberg	0.0585405
Ibo	0.0583489
Shipley	0.0580398
Stahl	0.0579783
Rosenthal	0.0578731
Tong	0.0578556
Soliah	0.0578467
"Larry Sabato"	0.0577642
Fung	0.057616
Khai	0.0575268
Nazarbayev	0.0571772
Leung	0.0570083
tang	0.0567313
Capps	0.056718
Soyinka	0.0567173
Shamshad	0.0565431
Gao	0.0563836
Pustovoitenko	0.0562982
Soriano	0.0562756
McLaughlin	0.0562101
Kazak	0.0559847
Zamora	0.0558933
Zheng	0.0558898
Chen	0.0558115
Husseini	0.0555153
Stoyanov	0.0554935
Phieu	0.0554392
Mustafa	0.0553833
Mkapa	0.0552902
Machel	0.0550893
Wong	0.0549003
Zeroual	0.054836
Lim	0.0548228
Ho	0.054717
krueger	0.0546922
Ling	0.0546701
Hayden	0.0546129
Brittan	0.0545847
Chu	0.0545697
Butterworth	0.0544616
Koskinen	0.054271
Boles	0.0542294
Ijaw	0.0539873
Hao	0.0539531
Katsav	0.0539295
Azad	0.0533572
Grimes	0.0533239
Cai	0.0533116
Taft	0.0533002
Lehane	0.0531549
Gonzales	0.0530805
Deutsch	0.0530149
Speer	0.0529861
Luo	0.0529362
Fernandes	0.0529322
Moonves	0.0527728
Rifkind	0.052741
Plavsic	0.0525964
Maslyukov	0.0524501
Yun	0.0523117
Wolfson	0.0523107
Chenoweth	0.0522577
Brenner	0.0521937
Talebi	0.0521211
Nebiolo	0.0519409
Sumaye	0.0518963
Aventajado	0.0518643
Feng	0.0518273
Hauser	0.0517837
Modise	0.0517276
Petersen	0.0517089
Kimes	0.0516974
Montiel	0.0516728
Soto	0.0513239
Chi	0.0512965
Mayer	0.051097
Schuessel	0.0510887
Hodler	0.0510095
"Tin Oo"	0.0509824
Bi	0.0505692
Stoneman	0.0503449
Kalejs	0.0502951
Lai	0.0501493
Jin	0.0501033
Kumaratunga	0.0499597
Garza	0.0497979
Greco	0.0497944
Kato	0.049723
Moratinos	0.0496687
Blatter	0.0496653
Goh	0.0496573
CASS	0.0496244
Chretien	0.0495899
Muir	0.0495885
))
(Baidoa (desc 5406.94) (sims
Merca	0.198707
Kismayu	0.188609
Kismaio	0.174403
Taloqan	0.161204
Matadi	0.160617
Mankulam	0.138545
Uvira	0.135942
Mogadishu	0.13572
Makeni	0.130602
Kilinochchi	0.123968
Juba	0.122149
Lhokseumawe	0.121653
Bukavu	0.119913
Marjayoun	0.115193
Grozny	0.115053
Orahovac	0.114865
Jalalabad	0.111378
Mazar-i-Sharif	0.111278
Kindu	0.108885
Urosevac	0.10731
Srbica	0.106968
Gisenyi	0.106426
Ensenada	0.105173
"South Mogadishu"	0.104473
Dushanbe	0.103463
Mazar-e-Sharif	0.103046
Jezzine	0.102297
Djakovica	0.101966
Tachilek	0.101905
Gulu	0.100679
Walkerton	0.100159
Saida	0.0997912
Freetown	0.099745
Warri	0.0994027
Kisangani	0.0993868
Urus-Martan	0.0981301
Prizren	0.0981264
Kizlyar	0.0979056
Izmit	0.0969009
Kabul	0.0959656
Decani	0.0959435
"Victoria Falls"	0.0956397
Kisumu	0.0947365
Jaffna	0.0941579
"Rahanwein Resistance Army"	0.0941513
Windhoek	0.0939941
Peshawar	0.0937983
PEC	0.0935217
Sihanoukville	0.093439
Talipao	0.0923161
Vladikavkaz	0.0922383
Mbarara	0.0920819
Paphos	0.0918335
Goma	0.0915328
Klina	0.0914823
Durres	0.0908052
Dubrovnik	0.0904149
Larnaca	0.0901756
Moshi	0.0895442
Trincomalee	0.0894946
Bamiyan	0.0893595
Bujumbura	0.089107
"Guatemala City"	0.0888505
Podujevo	0.0888219
Kandahar	0.0885463
Nabatiyeh	0.0881411
Arusha	0.0878721
Paranthan	0.087741
Shali	0.0872062
Pattaya	0.0867231
Ramallah	0.0861289
Rafah	0.0860232
Gnjilane	0.0860052
Cacak	0.0859972
Mwanza	0.0857415
Doha	0.0856899
Malisevo	0.0854002
Durban	0.0852319
Dundalk	0.0850879
Kandy	0.0848376
Guayaquil	0.084729
Vavuniya	0.0843423
PALERMO	0.0842311
Atambua	0.0842072
Limassol	0.0839735
Kalemie	0.083972
Belfast	0.0836506
Kuito	0.0832526
Bengkulu	0.0829815
Bissau	0.0829188
Posoltega	0.0826588
Subic	0.0825239
"Kosovo Polje"	0.0817581
Badme	0.081421
Kenema	0.0813948
Mostar	0.0813332
"Suva Reka"	0.0811076
Mitrovica	0.0810385
Sarajevo	0.0807449
Nakuru	0.0806615
Kinshasa	0.0804206
Pailin	0.0803558
Batticaloa	0.0799027
Medina	0.079825
Najaf	0.0797964
Racak	0.079766
Blackpool	0.0792355
Cartagena	0.0790521
Lahore	0.0788302
"CHIANG MAI"	0.0788247
Dodoma	0.0786598
Brazzaville	0.0784633
Ambon	0.078342
Jericho	0.0781789
Gudermes	0.0780918
Golcuk	0.0780607
Algiers	0.0778799
Lubumbashi	0.0776234
Eilat	0.0775093
"Banja Luka"	0.0772985
"San Pedro Sula"	0.0770011
Ashkelon	0.0768922
Bethlehem	0.0768563
Nogales	0.0765467
Accra	0.0760631
Brcko	0.0757751
Jolo	0.0757705
Beersheba	0.0757513
Bulawayo	0.075634
Rabat	0.0755281
Chamonix	0.0752358
Argun	0.0749362
Mombasa	0.0749106
Sirte	0.0748584
Antalya	0.0747518
"Port Moresby"	0.0746794
Assab	0.0745294
Dakar	0.0744473
Soweto	0.074411
Nablus	0.0743653
Aswan	0.074315
Kigali	0.0739434
Somalia	0.0737341
KAMPALA	0.0736355
Arua	0.0735637
Khulna	0.0735113
Entebbe	0.0734554
Lucerne	0.0734146
"Egyptian capital"	0.0733966
Shiraz	0.0733402
Haifa	0.0732976
"Quebec City"	0.0732756
"Kosovska Mitrovica"	0.0732585
Merida	0.0726324
MAPUTO	0.0726154
"La Paz"	0.0725637
Gaborone	0.072557
Basle	0.0722268
"Del Rio"	0.0719817
Weimar	0.0719659
"Hussein Mohamed Aidid"	0.07164
Hyderabad	0.071614
Rawalpindi	0.0716043
Huambo	0.0714583
"Phnom Penh"	0.0712716
el-Sheikh	0.0712671
Cebu	0.0710723
Minsk	0.0709643
Jeddah	0.0708164
Hebron	0.0707542
Mbabane	0.0707291
Monrovia	0.0707036
Dili	0.0705249
"San Salvador"	0.0704518
"North Mogadishu"	0.070434
Kragujevac	0.0702309
Asuncion	0.0698647
Langkawi	0.0696493
"Addis Ababa"	0.0695416
Birmingham	0.0694522
Baalbek	0.0692733
Osaka	0.0692399
Vientiane	0.0688785
Catania	0.0686929
"Siem Reap"	0.0686766
Kasese	0.0686589
Beirut	0.0686212
Kaduna	0.0685591
Asmara	0.0685314
Portadown	0.0683666
Skaneateles	0.0679855
"Ho Chi Minh City"	0.0678022
Davos	0.0676843
Kukes	0.0675886
BOGOTA	0.0675593
Mosul	0.0675305
Thessaloniki	0.0671991
Maastricht	0.0671582
Sidon	0.0670817
Managua	0.067012
))
(Baikonur (desc 2093.81) (sims
cosmodrome	0.287245
"Cape Canaveral"	0.220788
"Kennedy Space Center"	0.162699
Almaty	0.156145
"French Guiana"	0.109532
Astana	0.102119
"Kennedy International Airport"	0.085032
"ALMA ATA"	0.0811005
"John F. Kennedy International Airport"	0.0808263
Katmandu	0.0805164
"USS Enterprise"	0.0724396
"Miami International Airport"	0.0687321
"oil rig"	0.0646472
Incirlik	0.0631632
Alma-Ata	0.0615974
"Puerto Vallarta"	0.0603863
"Kennedy Airport"	0.0590727
"navy yard"	0.0558836
"Newark International Airport"	0.0541062
Ebenezer	0.051298
Alcantara	0.050467
"launch pad"	0.0503937
"Blair House"	0.049632
"Oak Ridge"	0.0486339
Kirghizstan	0.0465739
airbase	0.0453751
"Yucca Mountain"	0.044889
"Ben-Gurion Airport"	0.0432324
aquatics	0.0431488
"Johannesburg International Airport"	0.0426865
"Gorges Dam"	0.0425406
Tashkent	0.0418829
http://www	0.0408275
http://www.nytimes.com/syndicate	0.0406373
Abidjan	0.0404066
"Logan International Airport"	0.0403961
))
(bail (desc 30471.2) (sims
parole	0.134265
bond	0.104788
clemency	0.103556
custody	0.102678
leniency	0.0902195
asylum	0.0900586
probation	0.089349
fine	0.0822544
amnesty	0.0811586
pardon	0.0802439
injunction	0.0798497
extradition	0.0792588
Ransom	0.0775008
sentence	0.0768927
jail	0.0747019
payment	0.0739768
exemption	0.0732527
immunity	0.072987
visa	0.0726295
citizenship	0.0724181
retrial	0.0722351
"down payment"	0.0720422
warrant	0.0719586
bribe	0.0717295
reinstatement	0.0713334
mistrial	0.0701783
"stay of execution"	0.0701141
restitution	0.0700263
trial	0.0672684
compensation	0.0662569
commutation	0.0657203
"work permit"	0.0657086
fee	0.0656562
license	0.0652314
salary	0.0648958
reward	0.0647835
waiver	0.0643268
refund	0.064161
"prison term"	0.0639372
bonus	0.0638778
"marriage license"	0.063598
"arrest warrant"	0.0634018
rent	0.0628272
"death penalty"	0.0627714
arraignment	0.062164
residency	0.0621535
licence	0.0619012
"personal loan"	0.0618183
imprisonment	0.0617706
minimum	0.0611217
"asking price"	0.0608408
naturalization	0.0607792
"price tag"	0.0607729
prison	0.060703
reimbursement	0.0606639
Tuition	0.0603281
"house arrest"	0.0599262
prize	0.0593657
"prize money"	0.0589559
Acquittal	0.0586662
MFN	0.0583015
cash	0.058132
"annual payment"	0.0579782
stipend	0.0577448
pension	0.0576399
plea	0.0575072
alimony	0.0570926
allowance	0.0570536
maximum	0.0567351
"sticker price"	0.0567077
donation	0.056453
"prison sentence"	0.0559435
subsidy	0.0559346
penalty	0.0555407
punishment	0.055374
accreditation	0.0550619
hearing	0.0544959
purse	0.0544084
"due process"	0.053806
rebate	0.053763
"pay cut"	0.0536585
mortgage	0.053369
payout	0.052894
"entrance fee"	0.0528722
"financial aid"	0.0523258
"list price"	0.05218
"credit line"	0.0519732
detention	0.0519022
verdict	0.0515154
"line of credit"	0.0515148
"security clearance"	0.0506109
wage	0.0505917
increment	0.0505839
conviction	0.0502865
"child support"	0.0501599
permission	0.0500032
certification	0.0497056
"search warrant"	0.049578
"disability benefit"	0.0495514
passport	0.0493898
scholarship	0.0490494
"letter of credit"	0.0489116
"wage increase"	0.0488318
indictment	0.0485776
payday	0.0485575
"retirement benefit"	0.048549
"contempt of court"	0.0485031
"building permit"	0.0484839
deduction	0.0482344
"legal fee"	0.0481365
funding	0.0480384
absentia	0.0479461
"gross income"	0.0479009
clearance	0.0474986
savings	0.047498
deposit	0.0473988
reprieve	0.0471996
repayment	0.0471153
severance	0.0467386
"purchase price"	0.0466731
"medical care"	0.0462686
membership	0.0462199
summons	0.0460641
"tax break"	0.0460142
privilege	0.0459312
assistance	0.045838
"war chest"	0.0455087
prosecution	0.0454832
authorization	0.0454439
paycheck	0.0452954
sum	0.0452142
financing	0.0448962
bounty	0.0448846
"medical bill"	0.044836
"murder charge"	0.044737
"driver's license"	0.0444783
allocation	0.0444381
"cash payment"	0.0444238
arbitration	0.0437827
Lien	0.0436233
forfeiture	0.0434998
judgment	0.0433216
divorce	0.0432715
"pay raise"	0.0432622
wiretap	0.0430164
tariff	0.042954
incarceration	0.0429184
Dismissal	0.0428879
visitation	0.0427513
certificate	0.0426118
withdrawal	0.0423125
"production cost"	0.0422858
extension	0.0422722
"interest payment"	0.0420897
"tax bill"	0.0420409
kickback	0.0420241
"retail price"	0.0417741
payroll	0.0413672
"property tax"	0.0413468
"right to vote"	0.0410806
consent	0.0410367
suspension	0.0407494
"operating budget"	0.0406842
"fraud charge"	0.0405141
petition	0.0404391
premium	0.0402954
registration	0.0402871
jury	0.0402431
buyout	0.0401364
reconsideration	0.0401268
"federal court"	0.0400619
))
(bailey (desc 16630.5) (sims
"Donovan Bailey"	0.128434
Greene	0.115866
Drummond	0.096639
Kipketer	0.0884098
"Michael Johnson"	0.0836513
Morceli	0.0831109
"Maurice Greene"	0.0830395
Fredericks	0.082899
Johnson	0.0827114
Popov	0.081841
Heyns	0.0817495
Freeman	0.0806008
Jones	0.0804449
Krayzelburg	0.0783071
Bennett	0.0775303
Taylor	0.0774611
Boldon	0.0773467
"Ato Boldon"	0.0772304
Jackson	0.0764525
Ottey	0.0764331
Edwards	0.0761995
Klim	0.0757045
Garcia	0.0751791
Francis	0.0741612
Irwin	0.0738507
"Hiroyasu Shimizu"	0.0733978
Thompson	0.0733438
Watson	0.0727615
Pierce	0.0726959
Riley	0.071524
Devers	0.0712164
Moore	0.0708972
Stevens	0.0704905
Wilson	0.0702628
"Allen Johnson"	0.0701019
Baez	0.0700686
Elliott	0.0695238
Nicklaus	0.0693965
"Penny Heyns"	0.0689374
"Florence Griffith Joyner"	0.0689352
"Jeremy Wotherspoon"	0.0685141
Carter	0.0684569
Sautin	0.0684263
Lewis	0.0683686
Antley	0.0682634
Stewart	0.0678522
"Alexander Popov"	0.0677697
Gebrselassie	0.0673231
"Colin Jackson"	0.0670299
Schwartz	0.0670097
Iverson	0.0669729
Sanders	0.0669482
Dixon	0.0668863
Wallace	0.0667502
"Irina Privalova"	0.0666858
smith	0.0665714
Khannouchi	0.0665707
Williams	0.0660657
Steele	0.0660644
Pincay	0.065871
Dolan	0.0658026
Liu	0.0656968
Solis	0.0656202
Anderson	0.0656139
"El Guerrouj"	0.0655709
Woodson	0.0655517
Davis	0.0655029
"Sandra Voelker"	0.0653337
Sotomayor	0.065288
Kjus	0.0652126
"Jackie Joyner-Kersee"	0.0651747
"Champ Bailey"	0.0651656
Phillips	0.0648741
Kelly	0.0648529
Richardson	0.0642229
"Liu Limin"	0.0641585
Welch	0.0640456
martin	0.0639951
Miller	0.0638357
"Michael Klim"	0.0638186
Chang	0.0635324
Gomez	0.0635319
Pantani	0.0634813
Perkins	0.063297
Sorensen	0.0631865
Valenzuela	0.0628241
Coleman	0.0626026
Hart	0.0624599
Longo	0.06244
Barnes	0.0623968
"Griffith Joyner"	0.0623596
Holdsclaw	0.0623286
Samuelson	0.0621917
Gordon	0.0621477
Mitchell	0.0620641
Morgan	0.0620596
Seles	0.062015
"Wang Junxia"	0.0619247
Schmidt	0.0619173
Scott	0.0618755
Barkley	0.061763
Avery	0.0615503
Dickerson	0.0615096
"Kim Batten"	0.0615088
Labonte	0.0614238
O'Meara	0.0613644
Robinson	0.0613614
"Cathy Freeman"	0.0612863
McNamara	0.0611628
Duval	0.0609944
Torre	0.0609596
Huber	0.0609097
Dorsett	0.0608755
Cheney	0.0608413
"Javier Sotomayor"	0.0608352
fisher	0.0607951
Chapman	0.0606912
Maier	0.0606571
Irvin	0.0606415
Sampras	0.0605612
Armstrong	0.0605361
Connolly	0.0604464
McCarron	0.0604462
James	0.0604049
Julich	0.0603672
"Jenny Thompson"	0.0603388
Chen	0.0602499
"Kieren Perkins"	0.0602399
Montgomerie	0.0602335
Fizer	0.0602213
Dunn	0.0601867
Schumacher	0.0601491
"Deborah Compagnoni"	0.0599541
Webber	0.05993
Thomas	0.0599268
Kwan	0.0597039
"Le Jingyi"	0.0596878
"Marion Jones"	0.0594361
jacoby	0.0593737
Barton	0.0593322
Brooks	0.0592646
Swann	0.0592298
Hess	0.0592156
Rodman	0.0591051
Friedman	0.0590197
Allen	0.0589526
Adams	0.0588826
Ferguson	0.0588171
Sanchez	0.0587893
duncan	0.0587466
"Frankie Fredericks"	0.0587249
"Stacy Dragila"	0.0587175
Flores	0.0586603
Tomba	0.0586231
"Li Xuemei"	0.0586138
Hersh	0.0585243
Rogers	0.0584847
Loroupe	0.0584684
"Pernilla Wiberg"	0.0583693
"Dennis Mitchell"	0.0583564
Bibby	0.0583491
O'Brien	0.0582988
Blumenthal	0.0582092
Webb	0.0582057
walker	0.0582044
Campbell	0.0581453
"Susie O'Neill"	0.0580117
Goldstein	0.0579203
"Elvis Stojko"	0.0578597
"Jon Drummond"	0.057788
Jarrett	0.0577594
Kendall	0.0577189
Kennedy	0.057696
"Carl Lewis"	0.0576702
Olson	0.0575465
Perec	0.0574857
rios	0.0574103
Moya	0.0573479
Payton	0.0573436
"Jerry Bailey"	0.0572889
Mason	0.0572735
hogan	0.0572686
Owens	0.0571334
Szczerbiak	0.0570701
Davenport	0.0570293
Sheppard	0.056784
"Li Jiajun"	0.056783
Autry	0.0567579
Chamberlain	0.0566206
Steinberg	0.0565264
Clark	0.0565192
Egan	0.0565146
Inkster	0.0564497
Peterson	0.056441
Agassi	0.0563964
"Gail Devers"	0.0563955
Foley	0.0563812
Ripken	0.0563623
Gonzalez	0.0562398
Zito	0.0562166
))
(bailiff (desc 1235.55) (sims
Lamberth	0.0970343
"shop assistant"	0.0896838
Gendarme	0.089364
Whipple	0.076796
"welfare worker"	0.0764667
Habib	0.0749124
Grunow	0.0730042
"ticket agent"	0.0729863
nix	0.0722718
passerby	0.0715925
Matasareanu	0.0711756
Reimer	0.0709577
concierge	0.0695076
foremen	0.0694031
"Leigh Ann"	0.0686025
Brazill	0.0680798
Sassa	0.0679184
crewmembers	0.0677962
"second person"	0.0669631
"probation officer"	0.0668413
patrolman	0.0666681
Yandarbiyev	0.0660541
Azad	0.0657717
Nickerson	0.0656465
Yazdi	0.0656432
Ruehe	0.0652956
Mathews	0.0645551
Strauss-Kahn	0.0644045
"air force officer"	0.0642275
DiCarlo	0.0638165
receptionist	0.0637093
B-@s	0.0635935
assessor	0.063508
warden	0.0633786
"Orlando Mercado"	0.0633367
Aventajado	0.0632576
"warm front"	0.0624771
Magistrate	0.0624208
"administrative official"	0.0621384
Orban	0.0618234
Amedure	0.0615929
beautician	0.0609364
"deputy sheriff"	0.0607129
"break of serve"	0.0602486
Talebi	0.0599486
escapee	0.0592957
"federal agent"	0.05915
Azizah	0.0591275
Pustovoitenko	0.0591194
"North Africans"	0.0588217
Barrie	0.0587389
"game warden"	0.0580982
"school girl"	0.0580597
"army officer"	0.0576495
Woolley	0.0575513
Kabariti	0.0570215
coroner	0.05695
Teresi	0.0566809
"English Football Association"	0.0565762
Bedell	0.0565532
Hybl	0.0559442
Alfonso	0.0558041
"Robert Aventajado"	0.0557271
vagrant	0.0555908
Deacon	0.0555335
Dudayev	0.0551493
constable	0.0549101
"Kiichi Miyazawa"	0.0549088
imp	0.0548757
"Central Bureau of Investigation"	0.0548472
cashier	0.0548034
armymen	0.0548004
Khalil	0.0545234
Rehnquist	0.0545215
BSF	0.0544714
"one of the boys"	0.0542911
serviceman	0.0542415
Registrar	0.0542374
Baez	0.0540182
Napolitano	0.0539954
soliders	0.0539498
"financial officer"	0.053827
militiaman	0.0537012
Venables	0.0536971
Imperatori	0.0536213
"William S. Cohen"	0.053514
sentry	0.0534133
dispatcher	0.0532863
Neulander	0.0531676
Alatas	0.0531325
Polgar	0.0529186
Espinosa	0.0528996
Grachev	0.0527888
prefect	0.0527074
commandant	0.0526674
jester	0.0526654
"John Anderson"	0.0525925
paraplegic	0.0525536
"fire drill"	0.0523246
"Amos Wako"	0.0521923
ref	0.0521602
Troussier	0.0521193
infantrymen	0.0520951
Whalen	0.0520007
"law officer"	0.0519758
Rahman	0.0515838
Dahmer	0.0515048
"British Opens"	0.0514677
Snead	0.0513963
"prison guard"	0.0513888
"fire chief"	0.051246
Bambang	0.0512117
fire-fighter	0.0511554
Advani	0.0509916
Juppe	0.0508388
millon	0.0508057
Fahey	0.0507982
"military police"	0.0507283
firemen	0.0507125
Korman	0.0507121
"police dog"	0.05069
Gullit	0.0506685
cartographer	0.0504883
portraitist	0.0504745
"department head"	0.0503982
Sanderson	0.0503471
Trantino	0.0502662
skydiver	0.0502214
"Bill Skate"	0.050101
"de Charette"	0.0500693
Lileikis	0.0500569
Lazarenko	0.0500352
"medical examiner"	0.0500202
Custer	0.0499415
"bird watcher"	0.0499307
Rodionov	0.0498905
typist	0.0498724
bartender	0.0496583
Dodik	0.0496491
"Dinko Sakic"	0.0496133
"TV reporter"	0.0495926
"robbery suspect"	0.049541
"newspaper editor"	0.0495252
"Cindy McCain"	0.0494975
attache	0.0494951
guardsmen	0.0494557
Aguirre	0.0493873
Havelange	0.049334
Collymore	0.0493316
"Bengal tiger"	0.049292
Desmond	0.0492785
seminarian	0.0492745
Palczynski	0.0492446
Hani	0.049091
deliveryman	0.0490866
"Lee Hsien Loong"	0.0490382
"patrol ship"	0.0490322
triathletes	0.0489301
Nasrallah	0.0489232
Kerasiotes	0.0487961
workman	0.048755
Fabius	0.0487354
"intelligence officer"	0.0485657
pallbearer	0.0483328
Conte	0.0483321
"letter carrier"	0.0483087
first-grader	0.0483072
Oswald	0.0482675
ex-girlfriend	0.0481651
Rabe	0.0480796
Velayati	0.0480432
Faget	0.0480367
Lari	0.0480329
"black person"	0.0478865
"police sergeant"	0.0478404
Byrdsong	0.0477157
Folsom	0.0475945
"military unit"	0.0475689
airmen	0.0475335
Shamshad	0.0474648
snakehead	0.0473259
"military man"	0.0472485
"pass catcher"	0.0470351
tribals	0.0469545
autoworkers	0.046918
Warshaw	0.0468953
Finn	0.0468831
gnat	0.046755
emcee	0.0467289
"three match points"	0.0467278
fawn	0.0465795
"General Security Service"	0.0465383
"Bashkim Fino"	0.0465049
bouillon	0.0464246
"school principal"	0.0464138
"funeral director"	0.0463914
Akayesu	0.0462911
"Marianne Gingrich"	0.0462478
"garment worker"	0.0462428
Prewitt	0.0462338
))
(bailout (desc 26493.6) (sims
package	0.143179
rescue	0.138025
buyout	0.128501
loan	0.12822
near-collapse	0.126978
"credit line"	0.123759
takeover	0.120099
recapitalization	0.118688
"tax cut"	0.118664
"line of credit"	0.114885
overhaul	0.113206
merger	0.108912
disbursement	0.105646
Privatization	0.103208
"tax increase"	0.102825
"bond issue"	0.102309
"spending cut"	0.101524
subsidy	0.101393
"tax break"	0.100592
restructuring	0.0983828
infusion	0.0965694
aid	0.0955433
swap	0.0946474
"financial aid"	0.0944993
funding	0.0940531
acquisition	0.0936789
financing	0.0933388
fund	0.0929023
reorganization	0.0927293
"tax reduction"	0.0925597
assistance	0.0920141
reform	0.0917549
"rate cut"	0.0915862
reduction	0.0915846
purchase	0.0900413
settlement	0.088245
"budget cut"	0.0871379
intervention	0.0870607
cleanup	0.0862411
initiative	0.0861066
appropriation	0.0858796
deal	0.085736
"pay raise"	0.0850509
budget	0.0846927
borrowing	0.0841613
tranche	0.0840903
restoration	0.0830116
debt	0.0827463
expansion	0.0827252
consolidation	0.0820281
legislation	0.0816834
grant	0.0816052
pact	0.081594
repayment	0.0813594
liquidation	0.0812401
payment	0.0805471
cutback	0.0805113
measure	0.080361
revision	0.0802103
scheme	0.0800108
lending	0.0799664
transfer	0.0796496
collapse	0.0792073
withdrawal	0.0790541
hike	0.0786366
credit	0.0781916
"tax hike"	0.0781391
deregulation	0.078129
"wage increase"	0.0777647
arrangement	0.0775157
payout	0.0774683
buyback	0.0773933
voucher	0.0771876
"rate increase"	0.0771585
"takeover bid"	0.0771501
windfall	0.0770302
investment	0.0768322
proposal	0.0767014
reconstruction	0.0764759
allocation	0.0763262
"tax credit"	0.076114
extension	0.0759606
amnesty	0.0756003
"leveraged buyout"	0.0755217
"merger agreement"	0.0751599
write-off	0.0751318
pullback	0.0748677
shutdown	0.0746428
relief	0.0745738
devaluation	0.0744366
"stock buyback"	0.0742365
guarantee	0.0741438
transaction	0.073986
bill	0.0735579
compromise	0.0735221
referendum	0.0733881
deployment	0.0732488
renewal	0.0732158
undertaking	0.0729263
stabilization	0.0721544
"budget deficit"	0.0717618
"rate hike"	0.0711184
agreement	0.0709876
surplus	0.0708997
"policy change"	0.0706866
spending	0.0702766
compensation	0.0702591
divestiture	0.0702503
policy	0.070205
"expansion plan"	0.0701889
Liberalization	0.0701098
"bond offering"	0.0698325
cease-fire	0.0697575
renovation	0.0696292
"food aid"	0.0695892
breakup	0.069457
pension	0.0692774
adjustment	0.0690054
relocation	0.0689984
donation	0.068992
postponement	0.0689861
installment	0.0689742
shake-up	0.0688722
amendment	0.0686961
accord	0.0684307
"rate rise"	0.0682506
outlay	0.0679838
lease	0.0676681
"tax bill"	0.0675032
"trust fund"	0.0674074
recovery	0.0673874
"Marshall Plan"	0.0673249
bankruptcy	0.0672785
"takeover offer"	0.0670687
regulation	0.0667958
bid	0.066778
"export credit"	0.06657
sale	0.066555
incentive	0.0663942
strategy	0.066384
liability	0.0663685
"operating budget"	0.0661866
Treaty	0.0661486
rebuilding	0.0661029
concession	0.065884
action	0.0658728
repatriation	0.0657295
"Bill of Rights"	0.0656893
modernization	0.0656832
"economic policy"	0.0655974
"hostile takeover"	0.065558
Implementation	0.0654576
default	0.0653936
creation	0.0653389
exemption	0.0653118
"ad blitz"	0.0652766
contract	0.065172
meltdown	0.0649213
"military action"	0.0646131
rebate	0.0644873
provision	0.0644611
layoff	0.0643924
endowment	0.0643622
rehabilitation	0.0643136
audit	0.0642434
bonus	0.0640819
pullout	0.0640686
nationalization	0.0639826
"name change"	0.0637103
IMF	0.0636327
"fund-raising campaign"	0.0634031
tax	0.0632929
"investment fund"	0.0632503
largess	0.0631891
turnaround	0.0631706
removal	0.0631687
evacuation	0.0631486
resumption	0.0631406
shakeup	0.0630715
"compromise plan"	0.0627146
Promotion	0.0621888
reparation	0.0620814
"missile defense system"	0.0620774
stimulus	0.0618603
lifting	0.0618507
venture	0.061826
"market reform"	0.0617386
"pilot program"	0.0616769
"reserve fund"	0.0615788
"trade bill"	0.0613948
"war chest"	0.0613778
"bad debt"	0.0613225
"price increase"	0.0612605
asset	0.0612309
mortgage	0.0612143
"political campaign"	0.0612081
saving	0.0611811
remedy	0.0611373
reimbursement	0.0611095
moratorium	0.0610434
))
(Bailundo (desc 2864.05) (sims
Andulo	0.361198
Huambo	0.183596
Bamiyan	0.171209
"Anlong Veng"	0.158622
Mazar-i-Sharif	0.149611
Beira	0.129334
Benguela	0.12525
Kandahar	0.124979
Kabwe	0.124202
Kuito	0.121287
Makeni	0.117603
Mazar-e-Sharif	0.11603
Kailahun	0.111044
Goma	0.110825
Matadi	0.108968
BIE	0.106488
Cochabamba	0.106405
Multan	0.10543
"Camp Abubakar"	0.102696
Taloqan	0.101918
Isfahan	0.0997078
Cebu	0.0975413
Lubumbashi	0.096208
Dodoma	0.0953315
Pailin	0.0945153
Najaf	0.0914464
"Banja Luka"	0.0905942
Jaffna	0.0902698
Baalbek	0.089327
Juba	0.0882808
NIS	0.0881244
Malisevo	0.0876742
Gudermes	0.0875348
Mashhad	0.0868813
Irbil	0.0855277
"San Pedro Sula"	0.08527
Marjayoun	0.0838423
Chennai	0.0833357
Zhongnanhai	0.0826026
"San Cristobal"	0.0818787
Gnjilane	0.0817119
Trincomalee	0.0808154
Sevastopol	0.0802306
Kilinochchi	0.0794619
Uvira	0.0789559
Golmud	0.0785609
Kandy	0.0781761
Argun	0.0759145
"United Nations Observer Mission"	0.0746826
"East Orange"	0.0743527
Gulu	0.0734842
Chengde	0.0732498
Bulawayo	0.0730205
Novosibirsk	0.0724997
Golcuk	0.0724487
Ismailia	0.072359
Lhokseumawe	0.0719521
Adana	0.0716003
Kisangani	0.0715768
Posoltega	0.0709109
Mandalay	0.0705068
Rawalpindi	0.0704982
"Mazari Sharif"	0.0703672
Tuzla	0.0701756
Brcko	0.0699208
Kragujevac	0.0695842
Baotou	0.069347
Leskovac	0.0689563
Luoyang	0.0689248
Wolfsburg	0.0685315
Mullaitivu	0.0684976
Bushehr	0.0682198
Murmansk	0.0677829
Lyon	0.0677218
Cacak	0.0676454
Khost	0.067023
Ibadan	0.066926
Urus-Martan	0.0669163
Kindu	0.0668499
Saida	0.0667995
Datong	0.0664053
Herat	0.0656992
Caguan	0.0656015
Khabarovsk	0.0654142
Nagoya	0.0649029
Dearborn	0.0647519
"Jaffna Peninsula"	0.0645991
Qom	0.064598
Weifang	0.0645165
Baoding	0.0644731
Bukavu	0.064086
"Port Elizabeth"	0.0640555
Dulles	0.063282
Kizlyar	0.063271
Vukovar	0.0628484
Zhangzhou	0.0627394
Burgos	0.0625468
"Siem Reap"	0.0623618
Antalya	0.0621309
"Santa Clara"	0.0618782
Ndola	0.061764
Beersheba	0.0617337
Jalalabad	0.0613744
Cyberjaya	0.0613312
Shashi	0.0612983
Sihanoukville	0.0612644
Durres	0.0612389
Zhenjiang	0.0609226
Toulouse	0.0605898
Haifa	0.060359
Heidelberg	0.0603568
Cabinda	0.060268
Ashkelon	0.0600324
Klagenfurt	0.059895
Ur	0.0596952
Vlore	0.0596916
Pisa	0.0595959
Diyarbakir	0.0595397
Nago	0.0595212
Vavuniya	0.059489
Reston	0.0592979
Yekaterinburg	0.059235
Rafah	0.0591929
Stamford	0.0587121
Haicheng	0.0582564
Kisumu	0.0580834
Jiujiang	0.0576815
Junik	0.057105
Krasnoyarsk	0.0569681
Jenin	0.0568701
Stormont	0.0567041
"CHIANG MAI"	0.0565818
Zhangjiakou	0.0564168
Kabul	0.056379
Anshan	0.0562118
Catania	0.0561712
Pusan	0.0560695
Drenica	0.0560315
Cartagena	0.0560049
Xuzhou	0.0558054
Quanzhou	0.0557798
ZHOUSHAN	0.0555838
Izmir	0.0555441
Dandong	0.0552332
Weihai	0.0551686
Pereira	0.0551544
"Kosovska Mitrovica"	0.0551105
Izetbegovic	0.0550732
Mosul	0.0549616
Manado	0.0549329
Ramallah	0.0544447
"Novi Sad"	0.0543729
Guayaquil	0.0542251
Zhongshan	0.0542019
Zhangjiajie	0.0541936
"Rashid Dostum"	0.0541246
"Orient House"	0.0538281
Kraljevo	0.0538024
Nablus	0.0535442
Luanda	0.0534901
Wenzhou	0.053452
Tangshan	0.0533772
"Mountain View"	0.0532853
Urosevac	0.0528783
Sochi	0.0528193
PEC	0.0527862
Naples	0.0526469
Qinhuangdao	0.0526132
Jezzine	0.0526074
Orahovac	0.0525732
Assisi	0.0524784
Liuzhou	0.0524533
Moshi	0.0521235
Sidon	0.0521138
"National Union for Total Independence"	0.0520806
Aswan	0.0520248
Basra	0.0518268
Bo	0.0516557
Ensenada	0.0516271
"West Orange"	0.0515744
Charikar	0.0513895
Aachen	0.0513328
Dunhuang	0.0512899
Maseru	0.0511755
"Metro Manila"	0.0511252
Jinzhou	0.0511224
Bayonne	0.0511009
Izmit	0.0510812
Mombasa	0.051081
"North Caucasus"	0.0509901
Krakow	0.0507841
Basle	0.0506574
Puebla	0.0506149
Bangalore	0.0502935
Cordoba	0.0497173
Christchurch	0.0496128
Youngstown	0.0495842
Davao	0.0495725
Quetta	0.0493653
Vedeno	0.0490454
))
(Bain (desc 1887.44) (sims
Samuelson	0.101327
Sykes	0.0913352
cirque	0.0893062
Takahashi	0.0884709
Wexler	0.0872323
Boyle	0.0843263
Jobe	0.0843184
GAGE	0.0835797
Lau	0.0828404
Rosenthal	0.0823395
Krasniqi	0.0821284
Jaffe	0.0816618
Galvin	0.0799324
Gardiner	0.0799178
Yoon	0.0788733
Finkel	0.0788274
Margolis	0.0788255
Patel	0.0784055
COUSINS	0.0766192
Hendrickson	0.0743118
Verniero	0.0738928
Cianci	0.0737034
Kraus	0.0726803
Townsend	0.0722767
Conroy	0.0722532
Gosper	0.0715859
Berenson	0.0711085
Koskinen	0.0710497
Advani	0.070651
Weisman	0.070193
Prewitt	0.0699085
Katz	0.0696723
Ainge	0.0695067
Verney	0.0692198
Dempsey	0.0692094
Weiner	0.068988
Grasso	0.0688206
Rudenstine	0.0687548
Inman	0.0681989
Solis	0.0681405
Kehoe	0.0680889
Rylander	0.0679783
Feng	0.0674822
Brody	0.0669447
Reimer	0.0668611
Hayworth	0.0668313
Weldon	0.0666976
Madden	0.0666952
Kurth	0.0665483
Barrie	0.066537
Sharma	0.066097
Ebersol	0.0660241
Merritt	0.0658592
Cline	0.0658397
Lehane	0.0656701
Jensen	0.0654784
Padilla	0.0654445
Pruett	0.0654276
Hagel	0.0653317
Mustafa	0.064569
Hartwig	0.0645346
Grossman	0.0643551
Baugh	0.0643046
Mendez	0.064052
Paxon	0.0640404
Morgenthau	0.0640382
Pappas	0.0639897
Hanley	0.0636917
Braswell	0.0635744
"La Russa"	0.0632379
singleton	0.0632243
McCormick	0.0632117
Bizimungu	0.0628599
Marineau	0.0628592
Ellsworth	0.062666
Meissner	0.0626276
Ackerman	0.0623572
Cortines	0.0619009
Farris	0.0616613
Fulmer	0.0614367
Edelstein	0.0614358
Langham	0.0614259
Ibarra	0.0613637
Lowery	0.0612361
Finney	0.0610829
Trischitta	0.0607988
Eizenstat	0.0607873
Sapp	0.0604335
Merlino	0.0602131
Lockyer	0.060173
Picard	0.0601621
Satcher	0.0599336
Schuster	0.0597007
Babcock	0.0596179
Luethke	0.0594769
Fenton	0.0594476
Hallinan	0.0594389
McDonnell	0.0593981
Hamlin	0.0593423
Ratliff	0.0592095
lacy	0.059202
Alderson	0.0590077
hodgson	0.0589688
Ulrich	0.0589578
Brack	0.0588693
Atkins	0.0587986
Schmid	0.0587763
Neff	0.0587574
Waite	0.0587554
Ruehe	0.0586836
Meeks	0.058619
Chao	0.0584377
Feuer	0.0584354
Engelberg	0.0583989
Plante	0.0582806
Werner	0.0581371
Weiss	0.0581237
Ftorek	0.0580117
Triplett	0.0579629
Midler	0.0579484
Summitt	0.0578873
Solzhenitsyn	0.0577123
Groscost	0.0576252
Fleischer	0.0576033
Valenzuela	0.0574466
Hauser	0.0573488
Kenyon	0.0572307
Peca	0.0571683
Hines	0.0570688
Tran	0.0570192
Fleisher	0.057006
Beckwith	0.0568865
McCray	0.0568147
Rothenberg	0.0567677
McMillan	0.0566593
Goossen	0.0565021
Rossotti	0.0564816
Baird	0.0562444
Beilin	0.0562089
Steinberg	0.0561619
Piot	0.0561446
Knox	0.0561111
Kauffman	0.0560757
Shackleton	0.056028
Moakley	0.0559655
Milbury	0.0558843
McNamara	0.0558608
Bliley	0.0558285
usability	0.0557826
Hirst	0.0555363
Vasquez	0.0554414
Garcetti	0.0554411
Childress	0.0553385
Cowan	0.0549974
Clifford	0.0548038
Michaels	0.0547943
Troussier	0.0547603
Winn	0.0547446
cain	0.0547284
Markovic	0.0546398
Engel	0.0546003
Borodin	0.0544562
Geiger	0.0544551
Ervin	0.0544317
Farr	0.0543977
Bodine	0.0543491
Lange	0.0543333
Mann	0.0541365
Kodikian	0.054116
Artest	0.0541033
Peng	0.0540857
Zambrano	0.0539888
Ciampi	0.0539763
Sutter	0.0539516
Lamont	0.0538393
Weil	0.053831
Cui	0.0537815
Gullikson	0.0537512
Hecht	0.0537268
Ochoa	0.0537229
estes	0.0537225
Drummond	0.0537126
Winkler	0.0536974
Atkinson	0.0536597
Rawlings	0.0536174
Shays	0.053616
Butterworth	0.0534446
Imperatori	0.0533173
Reiner	0.0533132
Monahan	0.0532935
Davidson	0.0532747
Neal	0.0532467
Bratton	0.0532268
Menchu	0.0532214
Blume	0.0532213
Heinrichs	0.0531962
Cremins	0.053168
Anton	0.0531603
Kissinger	0.053135
Freedman	0.0530928
))
(Baines (desc 1249.49) (sims
Mabry	0.155465
Abreu	0.139036
"Mark Loretta"	0.134736
Nevin	0.134168
Castilla	0.129213
Lofton	0.128981
"Brady Anderson"	0.128411
"Jeff Conine"	0.125563
Hollandsworth	0.124779
"Eddie Taubensee"	0.124234
"Bobby Abreu"	0.123976
"Harold Baines"	0.122255
"Todd Walker"	0.122219
Tatis	0.119906
Vidro	0.118687
"Marvin Benard"	0.118295
"Dave Martinez"	0.118163
"Kevin Young"	0.116902
Cirillo	0.116514
Brosius	0.115416
"Ray Lankford"	0.114786
"Alex Gonzalez"	0.114738
Rolen	0.11431
Lieberthal	0.114193
"Matt Franco"	0.113505
Burks	0.110911
Hatteberg	0.110712
"Deivi Cruz"	0.109839
"Mike Sweeney"	0.108469
Bordick	0.107918
"Chris Widger"	0.107728
Sexson	0.107656
"Neifi Perez"	0.107631
Higginson	0.10757
Bagwell	0.106163
"Will Clark"	0.105607
"Magglio Ordonez"	0.105548
"Brad Fullmer"	0.104859
"Richie Sexson"	0.104759
"Rondell White"	0.104104
"Ron Coomer"	0.103966
Dunston	0.103737
Hollins	0.10356
"Rich Aurilia"	0.103184
Fullmer	0.102475
"Wil Cordero"	0.10232
Fryman	0.101882
Alicea	0.10179
Randa	0.101569
"Derrek Lee"	0.101567
"Bengie Molina"	0.101083
DeShields	0.100732
Ordonez	0.100282
Walbeck	0.100243
"Raul Ibanez"	0.0996443
Karros	0.0995934
"Juan Encarnacion"	0.0990515
"Edgar Renteria"	0.0990407
"Jon Nunnally"	0.0987366
Giambi	0.0986998
"Tony Phillips"	0.0985159
Surhoff	0.0985057
"Craig Paquette"	0.0984997
Palmeiro	0.0983713
"Henry Rodriguez"	0.0983271
"Doug Glanville"	0.0982621
Konerko	0.0982153
Lankford	0.0977699
Lawton	0.0973694
Ripken	0.0965904
"Shannon Stewart"	0.0964656
"Fred McGriff"	0.0961366
"Dave Hollins"	0.0957282
McGriff	0.0954942
Agbayani	0.0954396
"Matt Lawton"	0.0954338
"Eric Owens"	0.0953429
"Joe Randa"	0.0952497
"Ellis Burks"	0.0951918
Segui	0.09502
"Glenallen Hill"	0.094825
Loretta	0.0948061
Renteria	0.0947993
Cepeda	0.0946371
"Preston Wilson"	0.0941647
"Charlie Hayes"	0.0941629
Vizquel	0.0937347
Helton	0.0925749
"Jeremy Giambi"	0.0924043
"Matt Williams"	0.0923159
Brogna	0.0922515
"Shawn Green"	0.092222
"John Vander Wal"	0.0921824
"Brian McRae"	0.0920625
"Carlos Baerga"	0.0920615
Gilkey	0.0918858
"Luis Gonzalez"	0.091848
"Brian Giles"	0.0917881
Meares	0.09173
switch-hitter	0.0915357
Mahomes	0.0913798
"J.T Snow"	0.0909888
Cummings	0.090964
"Ray Durham"	0.0909456
"Travis Fryman"	0.0908488
"Jeff Kent"	0.09084
Bautista	0.0904491
Beltran	0.0904343
"Eric Chavez"	0.0902661
"Carlos Lee"	0.0901592
"Bill Spiers"	0.0900443
"Bill Mueller"	0.0900102
"Jose Valentin"	0.089826
"Matt Luke"	0.0897126
Delgado	0.0895745
"Matt Stairs"	0.089446
"Melvin Mora"	0.0894043
"Jeff Cirillo"	0.0893808
"Mike Bordick"	0.0890203
DiSarcina	0.0888693
"Quinton McCracken"	0.0886566
"Desi Relaford"	0.0886369
"Brant Brown"	0.0884161
"Rich Becker"	0.088155
"Benny Agbayani"	0.0880946
"Gerald Williams"	0.0879599
"Damion Easley"	0.0879188
"Pat Meares"	0.0878552
"Luis Lopez"	0.0876546
"Jay Buhner"	0.0875941
"Cliff Floyd"	0.0875146
McMichael	0.0873565
"Paul Konerko"	0.0872884
"Pat Burrell"	0.0871423
Boggs	0.086784
Leyritz	0.0867449
"Jose Vizcaino"	0.0866848
"Brook Fordyce"	0.0866736
"Ricky Ledee"	0.0864564
"Edgar Martinez"	0.0862869
Burnitz	0.0862235
"Dante Bichette"	0.086065
"Miguel Tejada"	0.0859607
"Dmitri Young"	0.0858928
Baerga	0.0856447
Tejada	0.0853154
Giles	0.0852973
"Scott Hatteberg"	0.0848133
"Scott Spiezio"	0.084731
"Chris Gomez"	0.0843176
"Rico Brogna"	0.0842055
"Mark Kotsay"	0.0841974
"David Bell"	0.0839039
"Dean Palmer"	0.0837797
"Eric Karros"	0.0835713
Canseco	0.0835637
"Jeff Huson"	0.0834898
Galarraga	0.0834799
Alfonzo	0.0834544
"Chipper Jones"	0.0834423
"Joe Girardi"	0.0831805
"Ron Gant"	0.0831778
Grudzielanek	0.0828797
"Jeff King"	0.0827754
Daubach	0.0826594
"Jermaine Dye"	0.0824731
"CARLOS HERNANDEZ"	0.0824689
Ledee	0.0824665
"Jason Giambi"	0.0824377
"Bobby Bonilla"	0.0824019
Higgins	0.0823746
Cordero	0.0821232
"Carlos Delgado"	0.082014
Vina	0.0819632
"Corey Koskie"	0.0818513
Bonilla	0.081832
"Gary Gaetti"	0.0815381
Guerrero	0.0814581
"Karim Garcia"	0.0812496
"Erubiel Durazo"	0.0812437
"Jorge Posada"	0.0812154
Caminiti	0.0809846
"Kevin Jordan"	0.0807661
Easley	0.0806908
"John Olerud"	0.0806844
"Delino DeShields"	0.0806275
"Greg Colbrunn"	0.0806092
"Jose Vidro"	0.0805942
Edmonds	0.0805827
"Russ Johnson"	0.0805733
"Bobby Estalella"	0.0805316
"Mickey Morandini"	0.0805086
"Todd Hollandsworth"	0.0803173
"Tim Bogar"	0.0801459
Klesko	0.0798922
Elster	0.0798259
"Jay Payton"	0.0798099
"Luis Alicea"	0.0797791
"Troy O'Leary"	0.0797625
"Bruce Aven"	0.0795136
))
(Baird (desc 1445.57) (sims
Kasoulides	0.111814
Ruehe	0.109695
Tarawneh	0.107661
Prewitt	0.10735
Zou	0.106223
Insulza	0.106193
Boucher	0.105864
Ebersol	0.10565
Rodionov	0.104987
Masire	0.104856
Cramer	0.10384
Talebi	0.10346
Ackerman	0.102383
Nujoma	0.102316
Katsav	0.10146
Jayakumar	0.101375
Ikimi	0.101015
Yastrzhembsky	0.100098
"de Charette"	0.0996764
Wilhelm	0.0993548
Iger	0.0983631
Zuma	0.0980905
Alatas	0.096536
Rosenthal	0.0960584
Nzo	0.0958557
Sahadi	0.0940705
Akbar	0.0940038
Malu	0.0938724
Clement	0.0928016
Sassa	0.0926317
Rifkind	0.0923017
Fraga	0.0917538
Maslyukov	0.0914829
Severino	0.0912905
Kostov	0.0912269
Fleischer	0.0892212
Rubenstein	0.0887156
Ciampi	0.0883511
Heinrichs	0.0881388
Hayworth	0.0880405
Bulatovic	0.0879267
Okada	0.0877032
nance	0.0876328
Shamshad	0.0866785
Baldwin	0.0866355
Tsang	0.0864905
Finkel	0.086173
Shaath	0.0858495
Walesa	0.0856794
Hanley	0.085617
Strauss-Kahn	0.0855841
Mustafa	0.0855734
"Max Baucus"	0.0851441
Lehane	0.0851294
Juppe	0.0850504
Wolfensohn	0.0843011
Harrell	0.0841995
Narayanan	0.0838948
Kono	0.0836753
Laudrup	0.0836238
"Henry Waxman"	0.0832816
Boueiz	0.0832647
Hartsburg	0.0831127
Hasan	0.0825385
Udall	0.0825103
Ainge	0.0821304
Mikhailov	0.0821215
Aoki	0.0819387
Klestil	0.0819056
McCurry	0.0818627
Farber	0.0817868
Axworthy	0.0814573
Velayati	0.0806988
Rossotti	0.0805296
Aleman	0.0803488
Jorgensen	0.0802734
Zarb	0.080042
Protas	0.0799023
Solis	0.0797233
McGowan	0.0795557
Tran	0.0792846
Nazarbayev	0.0792303
Berkley	0.0791636
Moratinos	0.0791513
Kerasiotes	0.0791446
"John Conyers Jr."	0.0791381
hodgson	0.0790385
Harkin	0.0787727
Grossman	0.0787318
Kwasniewski	0.0786588
bullock	0.0786296
Siazon	0.0785605
Ruthardt	0.0783796
Patel	0.0783712
Ebbers	0.0783299
Capps	0.0780842
Hybl	0.0779847
Abercrombie	0.077816
Rau	0.0776968
Yazdi	0.0776816
"administration official"	0.077644
Erwin	0.0775486
Faget	0.0774824
Iglesias	0.077439
Musa	0.0773224
"Norm Dicks"	0.0770062
Orban	0.0769547
Kagame	0.0769047
Sahnoun	0.0767496
Lau	0.0767434
Surin	0.0766789
wen	0.0766029
Leghari	0.0762809
Conroy	0.0761872
Guerra	0.0761062
Tian	0.0760389
Flanagan	0.0758865
Carrera	0.0757191
Soares	0.0756927
Piot	0.0756095
Kesri	0.0755048
Levitt	0.0753724
Ashrawi	0.0753491
Napolitano	0.0749601
Cem	0.0745495
Harman	0.0744501
"Robert C. Byrd"	0.0742831
Meguid	0.0742827
Longo	0.0742603
Chappell	0.0741964
Shi	0.0740725
Solich	0.0740312
Zadornov	0.0739234
Feng	0.0738868
Connerly	0.0737794
Brack	0.0736432
Weiner	0.0735874
Jacquet	0.0733296
Boyle	0.0731933
"John Conyers"	0.0731592
Bildt	0.0730671
Pugh	0.0729405
Menard	0.0727344
Stoyanov	0.0727232
Squier	0.0726431
McKinnon	0.0726278
bock	0.0725608
Robson	0.0724253
Rollins	0.0723896
Lo	0.0722687
BEGAY	0.0721362
Xiang	0.0720718
Galvin	0.0720038
Chevenement	0.071912
Shays	0.0718944
Singson	0.0718515
Atwood	0.0716897
Rove	0.0716621
Barlow	0.0715193
ROMNEY	0.0713721
Ritter	0.0711832
Bettman	0.0711637
Jaffe	0.071143
Klima	0.0711302
"Faisal Husseini"	0.0710813
Griffiths	0.0709395
"Orlando Mercado"	0.0709174
"Bill Lockyer"	0.0708899
Luo	0.0708744
Vogel	0.0708634
Soyinka	0.0707105
Turetzky	0.0706186
McCabe	0.07059
Fernandes	0.0705214
Rudenstine	0.0705078
Marineau	0.0704967
Aziz	0.0704203
Mkapa	0.0702947
McGinnis	0.070248
Beilin	0.0702157
Hawley	0.0701759
Grachev	0.0699154
Verney	0.0698073
Holl	0.0698027
Brandt	0.0697456
Scharping	0.0697259
Eizenstat	0.0697239
Dowd	0.0696074
Pollack	0.0694665
Venables	0.069405
Brittan	0.0693496
Myhrvold	0.0692422
Hodler	0.0691325
Barksdale	0.069048
guo	0.0690353
Fino	0.0688636
Meeks	0.068815
Bao	0.0688083
Sharma	0.0686761
Aventajado	0.0686498
))
(bait (desc 15754.9) (sims
poison	0.065314
fish	0.0647163
larvae	0.059327
squid	0.0555701
lobster	0.0509551
snack	0.0504003
fishing	0.0497643
insecticide	0.0485083
"takeover target"	0.0483431
tuna	0.0479975
carcass	0.0472397
trout	0.0462205
worm	0.0461755
fertilizer	0.045865
ruse	0.0454771
sweetener	0.0453494
sturgeon	0.0452346
souvenir	0.0451628
popcorn	0.0434423
pesticide	0.0433856
guts	0.0432312
candy	0.0431949
enticement	0.0430268
hatchery	0.0428789
herbicide	0.0428449
router	0.0427381
rod	0.0422587
REPELLENT	0.0421825
ballast	0.0418832
laundry	0.0416552
pawn	0.0414266
angler	0.0413297
solvent	0.0412026
cyanide	0.0409077
mulch	0.0408696
goldfish	0.0407023
"measuring stick"	0.040689
aphrodisiac	0.0405942
cookie	0.0405746
meat	0.0404086
eel	0.0403848
crab	0.0401804
))
(baiting (desc 1375.74) (sims
maneuvering	0.0643754
hater	0.0551979
mendacity	0.0524348
bashers	0.0483543
Tarantino	0.0476849
boosterism	0.047497
go-slow	0.046261
obstructionist	0.0438306
Fink	0.0437212
provincialism	0.0406686
IDD	0.0403593
))
(Baja (desc 1112.43) (sims
Bakassi	0.102162
"Baja California"	0.0926467
Crimea	0.0897642
Jaffna	0.0748309
"Far Eastern"	0.0725439
Batticaloa	0.0691383
"Eastern Cape"	0.0667314
Bautista	0.0654907
Bataan	0.0649042
"Lower Saxony"	0.0639858
"Florida Panhandle"	0.0622429
"Pacific Coast"	0.0611804
dang	0.0606888
"picture postcard"	0.060601
Stinson	0.0596577
"Central Florida"	0.0588015
Adriatic	0.0583133
Queensland	0.0571709
Brittany	0.0569246
Cornish	0.0569149
Montenegrin	0.0552139
"New South Wales"	0.0544627
"Hill Country"	0.0525142
"North Georgia"	0.0524415
Caprivi	0.0524321
Mullaitivu	0.0523628
"Northern Irish"	0.0521195
Normandy	0.0508074
Iditarod	0.0505077
Okinawan	0.0503606
Ruehe	0.0502433
"Lake Worth"	0.0495592
Rodionov	0.0493918
"Eastern Shore"	0.0492503
Ingush	0.0491835
Majko	0.0488809
Azad	0.0487846
Alaskan	0.0483695
snorkeling	0.0477362
Hesse	0.0477195
Solomons	0.0470365
"Nile Delta"	0.0467966
Kono	0.0467541
Laguna	0.0467481
Ivorian	0.0466868
Decani	0.0461413
Kauai	0.0458701
eroding	0.0458623
Prado	0.0454274
McManus	0.0452744
CANCUN	0.0452512
outrigger	0.045163
Abkhazian	0.0448939
"stage name"	0.0448339
Ozarks	0.0447314
Niagara	0.0447141
Newfoundland	0.0445464
Puglia	0.0439083
Karimov	0.0437605
"Busch Series"	0.0436963
Kyprianou	0.0422487
Hani	0.0419676
Uri	0.041961
Ruhengeri	0.0416922
Kasoulides	0.0416482
Talipao	0.041601
coastguard	0.041419
Krasnoyarsk	0.041346
Parrott	0.0412958
Provencal	0.0412838
Milbury	0.0410224
"Bank of Israel"	0.0407538
Nemtsov	0.0406986
"Ventura County"	0.0405635
Clare	0.0405227
Cui	0.0404241
Belarusian	0.0404216
))
("Baja California" (desc 5495.17) (sims
Jalisco	0.207303
Sinaloa	0.201418
"Quintana Roo"	0.157238
Michoacan	0.154662
Zacatecas	0.141795
"Lower Saxony"	0.123661
Sonora	0.123132
Guerrero	0.122838
Oaxaca	0.113306
Guanajuato	0.103557
Durango	0.103046
"Yucatan Peninsula"	0.0996663
chihuahua	0.0990358
Chiapas	0.0967217
Hesse	0.0945361
Baja	0.0926467
"New South Wales"	0.092108
Puebla	0.0915038
Crimea	0.0907756
Orissa	0.0886555
Tamaulipas	0.0878239
"Pacific Coast"	0.0864918
Gujarat	0.0847313
"Dead Sea"	0.0820293
Bavaria	0.0814359
"West Bengal"	0.0800008
Veracruz	0.0798898
Queensland	0.0798484
"Minas Gerais"	0.0796731
"North Island"	0.0788628
Bihar	0.0783614
Bahia	0.0771312
Tabasco	0.0759556
Sinai	0.0748854
"Uttar Pradesh"	0.0748789
Karnataka	0.0742834
Morelos	0.0726304
"British Columbia"	0.0718154
"New Mexico"	0.0713908
Sarawak	0.0701486
Assam	0.0693263
Punjab	0.0685562
"federal district"	0.0681686
Sabah	0.0673347
Idaho	0.0660905
Maine	0.0655589
Brittany	0.065539
Louisiana	0.0646178
"Himachal Pradesh"	0.0644582
"Big Sur"	0.0640005
Delaware	0.0636259
Antioquia	0.0631283
Kelantan	0.0626117
Maharashtra	0.062453
Oregon	0.0622974
Brandenburg	0.0621802
"Cape Cod"	0.0620953
"Cape Fear"	0.0619827
Mississippi	0.0619785
"Andhra Pradesh"	0.0614645
Saxony	0.0611996
"Red Sea"	0.0611126
Luzon	0.0609977
Borneo	0.0607821
"Vancouver Island"	0.0606164
Kedah	0.060517
Kerala	0.0604604
Tigray	0.060335
Bakassi	0.0601945
"Great Plains"	0.0592302
Mullaitivu	0.0592153
"Tamil Nadu"	0.0589695
"Sinai Peninsula"	0.0589115
Pennsylvania	0.0588398
Mid-Atlantic	0.0587914
Jaffna	0.058746
Nevada	0.0587402
"Black Sea"	0.0585787
Wyoming	0.0582816
Alabama	0.0580561
Putumayo	0.0579158
"Florida Panhandle"	0.0578294
Kaduna	0.0577749
"Marin County"	0.057769
Baltic	0.0577531
Arkansas	0.0576744
"Western Australia"	0.0576265
"Arabian Peninsula"	0.0572185
Haryana	0.0571812
Adriatic	0.0569414
"Warren County"	0.0568745
Missouri	0.0568258
Illinois	0.0560999
Newfoundland	0.056016
Vermont	0.0557165
Johor	0.0548273
Bolivar	0.0546853
"Newport Beach"	0.0546821
Hawaii	0.054653
"Rocky Mountain"	0.0543205
Maryland	0.0539464
Montana	0.0529812
Tijuana	0.0528763
"San Joaquin Valley"	0.0527591
Kentucky	0.0526634
Alaska	0.0520979
"Miami-Dade County"	0.0520225
"Pacific Northwest"	0.0518483
"North African"	0.0518294
Bangor	0.0515671
"Pulau Pinang"	0.051468
"West Virginia"	0.0514654
"Essex County"	0.0511386
Tasmania	0.0509847
Rajasthan	0.0508869
"Orange County"	0.0506012
"Southern California"	0.0503701
"Hainan Island"	0.0500911
"Northern Territory"	0.0500891
Okinawa	0.049965
"Rhode Island"	0.0498176
"Mexico City"	0.0496398
prefecture	0.0494596
"Indian Ocean"	0.0492287
oceanside	0.049098
Shan	0.0490663
"Dade County"	0.0489118
Mediterranean	0.0488766
Penang	0.0488431
TALLAHASSEE	0.0486873
"Cobb County"	0.0486151
"Los Angeles County"	0.048613
Selangor	0.0485246
Macau	0.048316
"Damascus Declaration"	0.0481196
"Bergen County"	0.048028
"Lake Michigan"	0.0476986
Srinagar	0.0474796
"South Dakota"	0.047207
"Nova Scotia"	0.047134
"Sunshine State"	0.0470514
Belize	0.0468767
"Grand Junction"	0.0464051
"Santa Barbara"	0.0464047
Kwazulu-Natal	0.0463356
Sindh	0.0462553
Acapulco	0.0461311
Appalachians	0.0459368
Normandy	0.0455957
Caspian	0.045518
"Caspian Sea"	0.0454728
Gaza	0.0453317
Fresno	0.0453056
"Jackson County"	0.045207
"New York State"	0.0451683
"Gaza Strip"	0.0449846
"La Jolla"	0.0449582
Patagonia	0.0449141
Pahang	0.0447716
"North Dakota"	0.0446299
"Northern Irish"	0.0446016
"Fairfield County"	0.0445105
"South Florida"	0.044465
Devon	0.0444631
Sulawesi	0.0444622
"Suffolk County"	0.044337
"San Diego County"	0.0441679
Juarez	0.0440977
Carolinas	0.0440258
Ontario	0.0439322
Krakow	0.0439295
Zamboanga	0.0438947
Westchester	0.0438748
"South Georgia"	0.0437681
"Rocky Mountains"	0.0435586
"Bekaa Valley"	0.0434938
"South Texas"	0.0433658
Aceh	0.0433268
Cornish	0.0432431
"Westchester County"	0.0432122
"South Australia"	0.0430128
Sumatra	0.0428756
Malacca	0.0428498
Oahu	0.0427977
"Sun City"	0.0427902
"Hollywood Hills"	0.0427079
"St. Petersburg"	0.0426562
Calabria	0.0425908
"Gulf Coast"	0.0425171
Catskill	0.0424607
Waterville	0.0421716
Montenegrin	0.0421433
"Virgin Islands"	0.0420728
"Central Florida"	0.0420449
"West Palm Beach"	0.0420218
"Huntington Beach"	0.0419773
Lucknow	0.0417736
"San Fernando Valley"	0.0416902
Davao	0.0414969
"Sao Paulo"	0.0414788
))
(Bakaly (desc 2761.56) (sims
Reimer	0.16327
Blackthorne	0.163125
Swango	0.15322
Ritter	0.15287
Ruehe	0.150387
Mikhailov	0.148692
Advani	0.147467
Demaci	0.147339
Quackenbush	0.146101
Nikitin	0.145949
Manley	0.144942
Sanan	0.143866
Haughey	0.143201
Lileikis	0.142968
Cisneros	0.141742
Neulander	0.141724
Fassett	0.141448
"Russell Peeler"	0.140765
Canady	0.140328
Singson	0.140117
Symington	0.140024
McGinn	0.139254
Stayner	0.138749
Schwarz	0.138514
Haouari	0.136622
Hiett	0.134978
Wenger	0.134871
Harris-Lewis	0.134713
Capano	0.134275
Zadornov	0.13369
McDermott	0.132547
Beckwith	0.131242
Karr	0.131176
Yastrzhembsky	0.131085
Steele	0.130807
Kagalovsky	0.130785
Giacchetto	0.129886
Khalil	0.129636
Agca	0.129126
Hamid	0.128924
Hsia	0.128883
Faget	0.126777
Mudge	0.12611
Hubbell	0.125774
Ackerman	0.124583
Hersh	0.124325
Thayer	0.124118
Lehane	0.122675
Joklik	0.122279
Martorano	0.122267
Lacresha	0.12212
Trie	0.12171
Fieger	0.121561
"Maturino Resendiz"	0.121555
Caddell	0.120386
Bruder	0.120291
McCurry	0.120182
Tevanian	0.117499
Abernathy	0.117378
Blumenthal	0.117353
Priebke	0.117332
McDougal	0.117002
Hoddle	0.116716
Weizman	0.116381
Kodikian	0.116208
Rivlin	0.115856
Pirro	0.115761
DeFrantz	0.115396
Bustamante	0.11539
Cubas	0.114309
Berenson	0.114198
Zucker	0.114133
Zamora	0.113997
Skakel	0.113793
Sebaggala	0.113581
KEVORKIAN	0.11338
Coia	0.113182
Kurth	0.112889
Schweitzer	0.112696
Yoo	0.11265
"El Hage"	0.112567
peeler	0.112456
Schaeuble	0.111772
Kalejs	0.111568
Wolfson	0.111487
Espinosa	0.111455
Callaghan	0.111373
Fagan	0.111099
Coelho	0.110868
Drabinsky	0.110562
Ntakirutimana	0.110215
Slatkin	0.10995
Markhasev	0.109949
Yazdi	0.109847
Demjanjuk	0.109591
Wiese	0.109549
Fortier	0.108946
Shayler	0.108738
Hodler	0.108423
Ng	0.108365
Fleischer	0.108184
Beathard	0.108108
Hage	0.107744
LeFave	0.107596
Ickes	0.107384
Boyle	0.107348
Idris	0.107288
Valenzuela	0.10718
Naumann	0.107083
McKinney	0.107018
Colburn	0.106959
Flemmi	0.106856
Eskew	0.106577
hale	0.106171
Waxman	0.105787
Jenoff	0.105708
Sakic	0.105224
Aventajado	0.105154
Eizenstat	0.104924
Kazhegeldin	0.104912
Kurtz	0.104907
Kiareldeen	0.104799
Kumar	0.104748
Shipman	0.10471
Jewell	0.104532
Gutman	0.10438
Espy	0.104106
Schmitz	0.103681
"Marianne Gingrich"	0.103621
Piggie	0.103517
Barad	0.102249
Havelange	0.102244
Connolly	0.102069
Eubanks	0.101607
Baucus	0.101408
Strauss-Kahn	0.101367
Ruff	0.101208
Bizimungu	0.101171
Livoti	0.101016
Neeman	0.100897
"De Klerk"	0.100771
"Ruiz Massieu"	0.100526
Sharma	0.100421
Craxi	0.100372
Meskini	0.100351
Finkel	0.10022
Romanowski	0.100058
Mordechai	0.0999145
Maritz	0.0998973
Regan	0.0998554
Lundy	0.0995983
Hybl	0.0995335
Menchu	0.0994685
Kaczynski	0.0992899
Soliah	0.0991102
Gauthe	0.0990675
Napolitano	0.0989154
Myhrvold	0.0988202
Mattysse	0.0988069
Skuratov	0.098685
Mukora	0.0985789
Velayati	0.0985418
Dokmanovic	0.0981607
Jelisic	0.0980975
Cowens	0.0979506
Boesak	0.0977043
Kornberg	0.0976967
Schott	0.0975725
Wendt	0.0975367
Azizah	0.09748
Hensley	0.097399
Spector	0.0968757
Imelda	0.096612
Winkler	0.0965597
Bisek	0.0965507
Lazarenko	0.0965421
"Raul Salinas"	0.096539
Erbakan	0.0963148
Allchin	0.0960566
Gosper	0.0960369
Espinoza	0.0959917
Mapes	0.0958675
Abdel-Meguid	0.0956933
Gritz	0.0956876
Jarrell	0.0955191
Deri	0.0953681
Elhage	0.095348
Mitnick	0.0948825
Schottenheimer	0.094859
Schmalensee	0.094627
Kirkpatrick	0.0945557
Echols	0.094389
Tripp	0.0943021
Scharping	0.0942989
Beilin	0.0942281
Haskins	0.094223
Majali	0.0941279
Borodin	0.0941188
Carollo	0.0940817
Manbar	0.0940342
))
(Bakassi (desc 1297.3) (sims
"Bakassi Peninsula"	0.330288
"Kuril Islands"	0.191597
"Black Sea Fleet"	0.122224
Nagorno-Karabakh	0.116239
Baja	0.102162
Crimea	0.101046
Bataan	0.0981528
INDIA-PAKISTAN	0.0908511
islet	0.0867053
Aegean	0.086213
"Western Sahara"	0.0849733
"Aegean Sea"	0.0809752
"Abu Musa"	0.0793529
resolving	0.0766523
"Niger Delta"	0.0746849
Jaffna	0.0715214
Jammu	0.0699299
"Northern Territory"	0.0691386
"Falkland Islands"	0.0680571
Sultanate	0.0676614
Lockerbie	0.066567
Abkhazian	0.0662762
Paphos	0.0654849
Arab-Israeli	0.0626006
Falklands	0.0625902
simmering	0.0605686
"African Cup"	0.0579936
"patent right"	0.0576692
KwaZulu/Natal	0.0573641
Kargil	0.0566139
Solomons	0.0565377
Israeli-Palestinian	0.0561507
Israeli-Arab	0.0561448
Malvinas	0.0561324
"moral hazard"	0.0557212
inter-Arab	0.0556042
Brcko	0.053429
solving	0.0521574
"South China Sea"	0.0521048
"Great Lakes Region"	0.0518422
"Holy City"	0.0512269
"Dead Sea"	0.0507923
"Balkan country"	0.050572
CHT	0.0504352
seven-month	0.0503378
paternity	0.050091
Comoros	0.0497625
"Balkan state"	0.0493601
"Willie Horton"	0.0492969
Arabia	0.0491441
Caucasus	0.0487696
power-sharing	0.0480375
lastest	0.0475112
Sevastopol	0.0471904
"Delta State"	0.046979
"Guinea Bissau"	0.0469261
Kizlyar	0.0456783
Anjouan	0.0449683
eight-month	0.0445847
"Taiwan Strait"	0.0445551
Guinea-Bissau	0.0442344
Palestinian-Israeli	0.0440272
"Democratic Republic"	0.0437509
"Beibu Gulf"	0.0435035
"Diaoyu Islands"	0.042792
"water right"	0.0427453
IPR	0.0426574
"Three Mile"	0.0425666
Mostar	0.0423177
"Far Eastern"	0.0421978
"tit for tat"	0.0421936
nine-month	0.0421176
"Mexican peso"	0.0413942
Caprivi	0.0411567
Abkhazia	0.0410719
Badme	0.0405839
Maluku	0.0403235
"Arab East Jerusalem"	0.0402985
GEF	0.0402501
five-month	0.0400141
))
("Bakassi Peninsula" (desc 2597.59) (sims
Bakassi	0.330288
peninsula	0.150602
"Kuril Islands"	0.138912
face-off	0.0930699
"Black Sea Fleet"	0.0875958
"Arab East Jerusalem"	0.0799459
islet	0.0748197
Aegean	0.0739529
"Falkland Islands"	0.0716975
Jammu	0.0676141
"Niger Delta"	0.0659853
"Abu Musa"	0.0659194
Sultanate	0.0634122
"Golan Heights"	0.0611709
Badme	0.0610337
"East Jerusalem"	0.0579131
"Delta State"	0.05548
"Holy City"	0.0540057
"South Lebanon"	0.0516967
"Aegean Sea"	0.0516824
"North Mogadishu"	0.0478345
Buldon	0.0472635
"Northern Territory"	0.047212
"Diaoyu Islands"	0.0470661
"Har Homa"	0.0439522
demarcation	0.0416698
Kargil	0.04158
))
(bake (desc 6667.76) (sims
simmer	0.223534
oven	0.145229
roast	0.128877
microwave	0.0918549
"room temperature"	0.090324
pan	0.0853214
Casserole	0.0799305
"Pepperidge Farm"	0.0792574
onion	0.0785912
Garlic	0.0734943
cake	0.0721104
pastry	0.0694545
toast	0.0692822
skillet	0.0688493
dough	0.068687
crust	0.0681172
rack	0.0671279
Parmesan	0.0665976
Topping	0.0657141
Souffle	0.065515
butter	0.0649993
broiler	0.063612
margarine	0.0633583
cheese	0.0632226
shortening	0.061711
filling	0.0604811
bean	0.0600321
freezer	0.0598494
bread	0.0595728
sauce	0.0591414
meringue	0.0591127
"sweet potato"	0.0590283
mushroom	0.059003
noodle	0.0586515
Broccoli	0.0584453
potato	0.0579785
Icebox	0.0577287
steak	0.0575549
custard	0.0564811
plantain	0.0561995
pasta	0.0561818
polenta	0.0561405
ravioli	0.0555215
pillowcase	0.054931
pumpkin	0.054651
soup	0.0543257
pie	0.0536069
"table of contents"	0.0524574
"peanut butter"	0.0520175
carrot	0.0520009
eggplant	0.0519153
"green bean"	0.0510739
pancake	0.050927
tomato	0.0504394
crumb	0.0496754
dessert	0.0496178
marshmallow	0.0493884
Pudding	0.0491541
ramekins	0.048974
wok	0.0489376
"Dutch oven"	0.0482904
muffin	0.048218
"fishing season"	0.047679
cookware	0.0473078
parsley	0.0472879
pizza	0.0472319
tortilla	0.0470603
broth	0.0468352
loaf	0.0466974
bacon	0.0462751
"cream cheese"	0.0461466
"Betty Crocker"	0.0456221
TART	0.0451607
sausage	0.044734
"Makes @@"	0.0444394
enchilada	0.0443547
artichoke	0.0443419
fig	0.044265
zucchini	0.044187
RHUBARB	0.043799
cornbread	0.0435082
macaroni	0.0433742
"black bean"	0.043112
pear	0.0429796
"ice cream"	0.0428835
chowder	0.0425237
mousse	0.0425138
cooky	0.0421868
spinach	0.041837
crepe	0.0418259
spaghetti	0.041504
Burrito	0.0411592
"macaroni and cheese"	0.0410754
risotto	0.040869
quesadillas	0.0406728
biscuit	0.0406598
leek	0.0406192
granola	0.0403151
tortellini	0.0401683
parchment	0.0401053
))
("baked goods" (desc 3898.02) (sims
"powdered milk"	0.148085
"dairy product"	0.139438
cheesecake	0.129193
yogurt	0.12596
"snack food"	0.12579
snack	0.124563
muffin	0.118829
pastry	0.118487
croissant	0.117252
"cold cuts"	0.115817
cooky	0.113363
"ice cream"	0.112528
cracker	0.109319
bread	0.109276
dessert	0.109037
"soda pop"	0.108946
cereal	0.108595
candy	0.108233
"fruit juice"	0.106359
"vegetable soup"	0.105554
"soft drink"	0.105111
milk	0.104898
"salad dressing"	0.104082
"french fries"	0.1014
"orange juice"	0.101026
sandwich	0.0988831
dumpling	0.0987728
low-fat	0.0978149
pasta	0.097288
cake	0.0970875
"hot dog"	0.096366
pie	0.0962955
biscotti	0.0961679
soda	0.0960532
granola	0.0958943
biscuit	0.0950339
porridge	0.0948234
condiment	0.0929592
"potato chip"	0.0919626
"canned goods"	0.0916977
soup	0.0907995
lemonade	0.0907396
pickle	0.0905247
noodle	0.0902141
brownie	0.0901354
"chicken sandwich"	0.0898358
salad	0.0893706
vegetable	0.089227
"chocolate cake"	0.0889885
bagel	0.0887803
"raw vegetable"	0.0883448
seafood	0.0883292
doughnut	0.0882124
"apple pie"	0.0879225
cheese	0.0877411
meat	0.0877067
beverage	0.0877007
juice	0.0875811
"fruit salad"	0.0873437
Casserole	0.0872357
popcorn	0.0872237
"dried fruit"	0.0866214
sausage	0.0863763
"hot chocolate"	0.0861147
chocolate	0.0854101
chutney	0.0851844
jelly	0.0849098
salsa	0.0848486
flan	0.0846099
ketchup	0.0840076
"cooking oil"	0.083173
"peanut butter"	0.0825929
Topping	0.0822562
"iced tea"	0.0820657
"tortilla chip"	0.0819649
margarine	0.0819585
"tomato sauce"	0.0819
quiche	0.0814761
"roast beef"	0.0806205
"potato salad"	0.0800178
cider	0.0795017
"macaroni and cheese"	0.0795015
Beer	0.0787298
burgers	0.0787149
Kool-Aid	0.0785565
coffee	0.0785422
spice	0.0778837
"green salad"	0.0776076
"chocolate chip cookie"	0.0770158
"barbecue sauce"	0.0763938
foodstuff	0.0761558
"canned food"	0.0753837
mayonnaise	0.0751929
espresso	0.0748467
pizza	0.0744206
Souffle	0.0741558
butter	0.0736607
guacamole	0.0734915
smoothie	0.0733683
honey	0.0727056
"pet food"	0.0726364
detergent	0.0726249
"laundry detergent"	0.072512
legume	0.072404
stew	0.0723935
"vegetable oil"	0.0717292
"wheat flour"	0.0715041
Hamburger	0.0711386
tomato	0.0708272
"Caesar salad"	0.0706379
sauerkraut	0.0705692
pancake	0.0702353
"sour cream"	0.0700374
"food product"	0.0698058
"cake mix"	0.0696984
"mineral water"	0.0696678
scone	0.0696664
salami	0.0695736
tea	0.0695101
soap	0.069345
Pudding	0.0693438
sauce	0.0693133
toiletry	0.0688563
"frozen food"	0.0688333
crepe	0.0683708
potato	0.0683348
bean	0.0682133
ricotta	0.0680982
Lasagna	0.0678464
gravy	0.0672897
ham	0.067097
"loaf of bread"	0.0670312
poultry	0.0669314
fudge	0.0667683
coleslaw	0.0664066
"whipped cream"	0.0663286
"chewing gum"	0.066315
cabbage	0.0661881
"fish fillet"	0.0660891
tofu	0.0658687
"sweet potato"	0.0657958
cappuccino	0.0654084
entree	0.0647997
breadcrumb	0.0647049
goody	0.0645613
shortcake	0.0645612
croutons	0.0644657
"alcoholic beverage"	0.0643491
"side dish"	0.0643069
nut	0.0642225
seasoning	0.0642122
"vanilla ice cream"	0.064019
"pumpkin pie"	0.0639423
mustard	0.0637599
"consumer goods"	0.0635105
"sports equipment"	0.063272
buttermilk	0.0627859
custard	0.0627162
"chicken wing"	0.0627027
"cottage cheese"	0.062535
onion	0.062392
peanut	0.0622947
pretzel	0.0621031
TART	0.0619475
pork	0.061927
shrimp	0.0618296
"durable goods"	0.061668
cookie	0.0616238
liqueur	0.0615949
confectionery	0.0613096
cola	0.0609805
"hard-boiled egg"	0.0606529
steak	0.0605754
COBBLER	0.0604925
"milk powder"	0.0604494
nacho	0.0604197
"freshwater fish"	0.0603949
donut	0.0603776
applesauce	0.0603129
sorbet	0.0600992
"hard drug"	0.0600485
Chili	0.060011
Masa	0.0599939
veggie	0.0599335
"soy sauce"	0.0597439
mousse	0.0596917
"pie crust"	0.0596041
meatloaf	0.0595803
"evaporated milk"	0.0595337
marmalade	0.0594566
cupcake	0.0594269
Tamale	0.0593913
flour	0.0593518
Jell-O	0.0592876
"oreo cookie"	0.0589985
vanilla	0.0589241
dressing	0.0586135
broth	0.0583825
lard	0.0583037
"pecan pie"	0.0582322
))
(Baker (desc 28087.3) (sims
Johnson	0.0823788
Williams	0.0794947
smith	0.0793945
Stewart	0.0792001
Patterson	0.0787794
Anderson	0.0753068
Jackson	0.0746228
"Vin Baker"	0.0737978
Malone	0.0734817
Robinson	0.0729452
Torre	0.0726439
Moore	0.072624
Cohen	0.0723749
Carter	0.0723628
Mitchell	0.0719535
carpenter	0.0713317
Payton	0.0711112
Miller	0.0709298
Barrett	0.0706109
Pippen	0.070131
Rogers	0.0698356
collins	0.0695762
Schrempf	0.069501
Ewing	0.0694802
Davis	0.069442
Taylor	0.0687259
Oakley	0.0687024
Bryant	0.068689
duncan	0.0684842
Doherty	0.0683213
chef	0.0682162
Owens	0.0681416
murphy	0.0679907
Wallace	0.0679438
Kidd	0.0677952
Bennett	0.0676315
Burke	0.0673952
Lewis	0.0672055
Riley	0.0671837
Edwards	0.0671219
Kemp	0.0670273
Brown	0.0666288
Thompson	0.0664161
Peterson	0.0663138
Pierce	0.0662071
Thomas	0.0661171
Clark	0.0656644
Coleman	0.0655913
Foley	0.0655158
Wright	0.0654298
martin	0.0651333
Cooper	0.0649064
Murray	0.0648932
Gonzalez	0.0646721
Armstrong	0.0646083
Phillips	0.0645145
Wilson	0.0644908
Richardson	0.0643095
Harris	0.0642912
walker	0.0640998
Odom	0.0639882
Hardaway	0.0639742
Rodriguez	0.063924
Barnes	0.0637075
Morgan	0.0633621
Carroll	0.0632025
Jones	0.0630871
Elliott	0.0629316
fisher	0.0628523
Cook	0.0627594
Powell	0.062426
Sheppard	0.0622099
Hamilton	0.0617095
Nowitzki	0.0614818
Brooks	0.0613355
Barry	0.0612761
Sullivan	0.0611548
Nelson	0.0611307
Lopez	0.0609534
Sprewell	0.0609433
turner	0.0607851
Adams	0.0605343
Evans	0.060497
Francis	0.06039
Smits	0.0603759
Olson	0.0600917
Allen	0.0600292
Parker	0.0599531
Greene	0.0599206
Sanders	0.0599005
Watson	0.0598514
Jenkins	0.059724
Cunningham	0.0597183
Flores	0.059601
Hunter	0.0595327
Jamison	0.0593774
Hawkins	0.0593344
Johnston	0.0593002
Steele	0.0586743
Iverson	0.0586474
Gomez	0.0585917
Levin	0.0583108
Jennings	0.0582333
Kelly	0.05805
Roberts	0.0579967
Keating	0.0577747
Perez	0.0577405
Webber	0.0577346
Jimenez	0.0576931
Finley	0.0575556
Blake	0.0575318
Davies	0.0573763
Cole	0.0573089
doctor	0.0571796
Ramirez	0.0571619
Rodman	0.0570333
author	0.0569313
potter	0.0569107
Chapman	0.056904
Reid	0.0568939
Hughes	0.0567512
Harvey	0.0565122
Mann	0.0564504
Aikman	0.0564335
Campbell	0.0563642
Maxwell	0.0563426
Palmer	0.0563128
Holmes	0.0561227
Kennedy	0.0560931
Scott	0.0560388
fuller	0.0560204
Dixon	0.0560052
banker	0.05597
Griffith	0.0558054
knight	0.0557783
Cheney	0.0557737
Falk	0.0556591
Daley	0.0556366
Kukoc	0.0555908
Dickerson	0.0555557
O'Donnell	0.0555148
Welch	0.0554897
gardener	0.0554387
Cooke	0.0554346
Griffey	0.0551516
Garnett	0.0550921
she	0.055078
Mason	0.0549245
Alou	0.0546144
Goldstein	0.0545629
James	0.054546
Webb	0.0545002
waiter	0.05442
Hernandez	0.0543603
Graham	0.0541684
Hoffman	0.0541457
Lieberman	0.0541287
Berenson	0.0541088
Morris	0.0540935
Bradley	0.0540856
Newman	0.0540387
Garcia	0.0540241
Lee	0.0540165
"Kobe Bryant"	0.0538713
Reed	0.0537961
Alexander	0.0537655
butcher	0.053739
harrison	0.0537271
seamstress	0.0536632
Anthony	0.053556
Rubin	0.0534419
Vaughn	0.0533802
Friedman	0.0533781
Camby	0.0533662
Robertson	0.053292
Ellis	0.0531852
Buchanan	0.0531767
Osborne	0.053107
Shapiro	0.0529715
Schwartz	0.0529657
bailey	0.0529484
Bush	0.0527411
O'Neal	0.0527094
Walsh	0.0526887
Ryan	0.0526535
Webster	0.0526308
Henderson	0.0525998
accountant	0.0525791
BENSON	0.052525
Farris	0.0525073
writer	0.0524125
Berman	0.0523837
Elway	0.0523757
Richards	0.0523135
Byrd	0.0522357
Nolan	0.0521898
Ramos	0.0521821
Huang	0.0521179
Parcells	0.052082
Hess	0.0520812
))
(Bakersfield (desc 3521.32) (sims
Fresno	0.16327
"Santa Ana"	0.151087
"Santa Monica"	0.137011
"San Bernardino"	0.135538
Modesto	0.134843
"San Luis Obispo"	0.12853
"La Jolla"	0.123829
riverside	0.116606
Kern	0.115837
"Huntington Beach"	0.113428
Sunnyvale	0.111956
"El Segundo"	0.110665
Sacramento	0.109626
"Walnut Creek"	0.108955
Burbank	0.108007
Monterey	0.10776
Palmdale	0.107634
Pasadena	0.105825
"Thousand Oaks"	0.104059
Compton	0.103293
Pomona	0.103067
Cupertino	0.102764
Petaluma	0.101963
"San Mateo"	0.101924
"Westlake Village"	0.101373
Emeryville	0.0993087
Burlingame	0.0983564
"South San Francisco"	0.0961646
"Santa Cruz"	0.0950754
LAKEWOOD	0.0950686
Ojai	0.0948596
Alameda	0.0940849
Camarillo	0.0938945
Encino	0.0937205
"San Diego"	0.0935619
Inglewood	0.093342
Fremont	0.0922342
"Culver City"	0.0920243
Torrance	0.0919424
"San Rafael"	0.0909612
Holyoke	0.0904746
Vallejo	0.0902405
"Menlo Park"	0.0901594
Calabasas	0.0898726
Berkeley	0.0893959
"Van Nuys"	0.0892814
Irvine	0.0890828
Sausalito	0.0885982
"Palo Alto"	0.0873867
"North Hollywood"	0.0866112
"West Hollywood"	0.0862147
"Redwood City"	0.0861416
"San Jose"	0.0857054
Carlsbad	0.0855164
Reseda	0.0845207
"Palm Springs"	0.0844792
"East Orange"	0.0844263
Eureka	0.0819695
Tucson	0.0817922
Morristown	0.0812214
Minneapolis	0.0807197
"Orange County"	0.0803263
"Santa Barbara"	0.0794801
Stockton	0.0792659
"Newport Beach"	0.0789162
Norwalk	0.0786376
Glendale	0.0783639
"Woodland Hills"	0.0774501
Fullerton	0.077351
"Manhattan Beach"	0.0772336
Chatsworth	0.0772035
"Marin County"	0.0771426
"Union City"	0.0768778
"Century City"	0.0763048
Tarzana	0.0757408
Hillsboro	0.0757398
"Mountain View"	0.0751268
Fontana	0.075023
"Santa Rosa"	0.0747992
Albuquerque	0.0747724
"San Pedro"	0.0739417
Redding	0.0738333
Honolulu	0.0738199
"Mission Viejo"	0.0735966
"East Los Angeles"	0.0731861
"Simi Valley"	0.0730527
Kensington	0.0726139
Oxnard	0.071603
"Santa Clara"	0.0713536
Antioch	0.069987
"Long Beach"	0.0699095
Braintree	0.0697491
Guadalajara	0.0697188
"El Paso"	0.0693481
oceanside	0.0691933
"Jersey City"	0.0689345
Greenville	0.0684392
Brentwood	0.0683279
Paterson	0.067933
"Santa Clarita"	0.0678847
Topeka	0.0674705
"Santa Fe"	0.0672321
Hartford	0.0671093
Poughkeepsie	0.0670641
Tacoma	0.0669761
"Indian Wells"	0.0668809
"Santa Clara County"	0.0664814
Richmond	0.0663636
Hialeah	0.0662616
Claremont	0.066026
Spokane	0.0659053
Stamford	0.0650968
"Paradise Valley"	0.0650727
Tuscaloosa	0.0646231
Hayward	0.0646118
Chatham	0.0642773
"San Marcos"	0.0640506
Lancaster	0.0639758
Matamoros	0.0639195
Columbus	0.063873
Somerville	0.0636684
"Des Moines"	0.0634111
Westminster	0.0632655
Nashville	0.0626477
Duluth	0.062365
anchorage	0.0622957
Naperville	0.0620526
Westfield	0.0619164
"Sonoma County"	0.0617637
Rey	0.0615348
Pleasanton	0.0613933
Tempe	0.0609753
Wilmington	0.0609485
Utica	0.0608663
"Oklahoma City"	0.060755
Springfield	0.0606539
"Stone Mountain"	0.0605791
Newark	0.0605408
Woburn	0.0604275
CARSON	0.0603398
"Virginia Beach"	0.0600842
Englewood	0.059755
Napa	0.0596855
Framingham	0.0594971
Rochester	0.0594661
Wallingford	0.0592695
Brownsville	0.0592588
"Sherman Oaks"	0.0591239
"Riverside County"	0.0589072
Akron	0.0587703
Beaumont	0.0587518
"Mill Valley"	0.0585442
Salinas	0.058331
"Granada Hills"	0.058207
"Lake Worth"	0.0580269
"New Haven"	0.0578209
"Camp Pendleton"	0.0575934
Alpharetta	0.0575798
"West Los Angeles"	0.0575269
Danbury	0.0573376
Birmingham	0.0571337
Carmel	0.0571212
"Dallas-Fort Worth"	0.0570129
Renton	0.0569046
Astoria	0.0568214
Bellevue	0.0568211
Middletown	0.0568132
Raleigh	0.0566923
Tulsa	0.0566803
Needham	0.0562754
Quincy	0.0562668
Harrisburg	0.0557782
Groton	0.0557342
"Twin Cities"	0.0555973
Macon	0.0554495
Memphis	0.0554433
Elmira	0.0550877
Worcester	0.0548464
"Cedar Rapids"	0.0548334
Schenectady	0.0546995
Fredericksburg	0.0546469
Americus	0.0544519
"Beverly Hills"	0.0544158
Shreveport	0.0541852
"Colorado Springs"	0.0541187
Bridgeport	0.0540233
Sevastopol	0.0540038
"Washington D.C."	0.0539804
"Fort Worth"	0.0538236
"Lake Tahoe"	0.0537833
Flagstaff	0.0537632
Lawrenceville	0.0535777
Wellesley	0.0535343
Fairfax	0.053484
"Port Moresby"	0.0532828
Pittsfield	0.0531454
Peoria	0.0529824
"Corpus Christi"	0.0529808
Camden	0.0528486
Falmouth	0.0528388
))
(bakery (desc 20491.3) (sims
"liquor store"	0.148478
"convenience store"	0.145312
"gas station"	0.144028
deli	0.136211
"grocery store"	0.133912
supermarket	0.132231
shop	0.129484
delicatessen	0.129255
restaurant	0.128806
"clothing store"	0.126668
"hardware store"	0.126523
drugstore	0.125395
Pharmacy	0.124103
bookstore	0.123455
cafe	0.11898
"beauty salon"	0.116784
"service station"	0.114035
"department store"	0.112962
pub	0.112682
"food shop"	0.112538
boutique	0.112044
"gift shop"	0.112028
store	0.11145
"coffee shop"	0.11047
bistro	0.110191
"dry cleaner"	0.108931
"butcher shop"	0.107955
"jewelry store"	0.107659
"movie theater"	0.107412
"art gallery"	0.107238
eateries	0.106226
"shoe store"	0.103588
"beauty shop"	0.102415
tavern	0.102135
grocery	0.101742
factory	0.101597
"post office"	0.101211
"travel agency"	0.100175
pizzeria	0.0985453
kiosk	0.0977453
"retail store"	0.0954217
parlor	0.0926229
"shopping center"	0.0919269
"repair shop"	0.091337
bookshop	0.0908104
nursery	0.0903686
motel	0.0903092
"toy store"	0.0895281
nightclub	0.0892826
mill	0.0888245
"discount store"	0.0885784
hotel	0.0883783
Warehouse	0.0879229
cafeteria	0.0871961
"steel mill"	0.0865867
saloon	0.0863437
sawmill	0.0861038
"funeral home"	0.0853071
winery	0.0852466
"machine shop"	0.0848013
florist	0.0845468
brewery	0.0838611
coffeehouse	0.0838398
"gasoline station"	0.083277
brothel	0.0830501
"office building"	0.082914
slaughterhouse	0.0827565
salon	0.0820228
spas	0.0815838
dealership	0.0807598
mall	0.0804251
diner	0.0803197
"shopping mall"	0.080249
"beauty parlor"	0.0800019
bar	0.0798449
caterer	0.0793574
"general store"	0.0789871
"dance hall"	0.078418
"specialty store"	0.0778648
Steakhouse	0.0778466
"bowling alley"	0.0778418
"computer store"	0.0775668
"chain store"	0.0769527
clinic	0.0762736
gym	0.0760214
"day care center"	0.0758284
"tea house"	0.0755923
"manufacturing plant"	0.0754677
Marina	0.0745072
"candy store"	0.0744146
"movie house"	0.0742586
"branch office"	0.0740668
grocer	0.0738297
"textile mill"	0.0737048
inn	0.0734506
refinery	0.0733954
"nursing home"	0.0732053
outlet	0.0729438
teahouse	0.0729126
"pizza parlor"	0.0724244
junkyard	0.0723826
emporium	0.071998
storefront	0.0715268
foundry	0.0705984
dairy	0.0705004
"coffee bar"	0.0704197
"recording studio"	0.069969
cemetery	0.0695105
hospital	0.0692634
"filling station"	0.0691126
farm	0.0684888
dealerships	0.0674883
"trucking company"	0.0673556
cannery	0.0671549
garage	0.0669466
kitchen	0.0668656
theater	0.0668364
studio	0.0667919
pawnshop	0.0667564
"community center"	0.0665691
"apartment building"	0.0664692
SPA	0.0661685
stalls	0.0657564
apartment	0.0655038
smelter	0.0652329
museum	0.0651666
"medical center"	0.0649022
distillery	0.0648298
gallery	0.0647481
"truck stop"	0.064708
Casino	0.064598
"soup kitchen"	0.0645812
lodge	0.064313
catering	0.0641596
"employment agency"	0.0641516
synagogue	0.0641437
cinema	0.0640931
library	0.0640166
"paper mill"	0.063994
atm	0.0639008
Brasserie	0.0637368
"amusement park"	0.0636032
"blood bank"	0.0633809
laundry	0.0631951
orphanage	0.062848
"police station"	0.0625529
arcade	0.0623711
quarry	0.0622489
shipyard	0.0622033
aquarium	0.0619702
"Burger King"	0.0614012
newsstand	0.061151
"radio station"	0.0611391
"elementary school"	0.0609946
barbershop	0.0607498
booth	0.0606727
laboratory	0.0605872
"TV station"	0.0603518
bed-and-breakfasts	0.0601339
cottage	0.0600008
church	0.0599492
complex	0.0598012
pantry	0.0595964
"printing company"	0.0591961
chain	0.0590944
jeweler	0.0589076
condominium	0.0588316
"fire station"	0.0582671
"power plant"	0.0581493
depot	0.0580096
showroom	0.0577304
"theme park"	0.0576527
Starbucks	0.0573121
"television station"	0.0572802
mosque	0.0571548
discotheque	0.0571409
"boarding house"	0.0567184
"petrol station"	0.0560939
townhouse	0.0560871
brokerage	0.0560743
hangout	0.0560558
ranch	0.0559662
"polling place"	0.0559474
canteen	0.0557218
bed-and-breakfast	0.0557132
MCDONALD's	0.0556431
"flour mill"	0.0554537
"Saks Fifth Avenue"	0.0554425
tannery	0.0553073
"family business"	0.0551481
retail	0.0548215
superstore	0.0548033
mansion	0.054757
"retail chain"	0.0547507
"law practice"	0.0546707
hospice	0.0546617
"oil refinery"	0.0546275
kennel	0.0545147
consulate	0.0541627
nightspots	0.0538509
))
("baking powder" (desc 3797.12) (sims
"baking soda"	0.449677
"vanilla extract"	0.413366
"almond extract"	0.370547
"chili powder"	0.356721
"curry powder"	0.34625
"celery seed"	0.327756
nutmeg	0.322156
paprika	0.317948
"cayenne pepper"	0.315867
cornstarch	0.310096
allspice	0.303983
turmeric	0.301815
cinnamon	0.297505
"garlic salt"	0.290086
"white pepper"	0.287671
"Worcestershire sauce"	0.286269
"brown sugar"	0.27877
vanilla	0.273407
"black pepper"	0.270936
"cumin seed"	0.268589
oregano	0.262771
"fennel seed"	0.257147
"lemon juice"	0.255073
"coriander seed"	0.254108
"lemon zest"	0.247821
cardamom	0.243166
salt	0.242749
cumin	0.235463
cayenne	0.235402
cornmeal	0.228383
"sesame oil"	0.228099
"pepper sauce"	0.227341
"soy sauce"	0.221025
"Tabasco sauce"	0.215953
"orange zest"	0.215812
"cider vinegar"	0.21353
thyme	0.208918
"lime juice"	0.208832
flour	0.204641
"mustard seed"	0.201834
vinegar	0.201293
clove	0.198757
"sesame seed"	0.198673
"vegetable oil"	0.195365
"seasoned salt"	0.188291
peppercorn	0.186997
coriander	0.186506
"wine vinegar"	0.185641
mustard	0.185036
buttermilk	0.184296
shortening	0.184103
ginger	0.182879
sugar	0.180567
"corn syrup"	0.178533
yeast	0.177018
"tomato paste"	0.174025
margarine	0.170577
marjoram	0.168029
cocoa	0.165969
flavoring	0.16528
butter	0.161468
powder	0.159439
seasoning	0.159238
molasses	0.15612
"olive oil"	0.155463
"evaporated milk"	0.155078
pepper	0.153558
"heavy cream"	0.150877
"sour cream"	0.150552
"maple syrup"	0.14838
flake	0.14837
rosemary	0.146213
honey	0.145856
"egg yolk"	0.145728
Garlic	0.145551
gelatin	0.144007
mace	0.143182
"poppy seed"	0.141476
"orange peel"	0.140359
half-and-half	0.136876
saffron	0.13669
"hot sauce"	0.136267
parsley	0.133001
"egg white"	0.128226
cilantro	0.127561
oat	0.12649
"peanut oil"	0.125925
"Grand Marnier"	0.124041
chive	0.123846
"cooking oil"	0.123793
"star anise"	0.122321
raisin	0.121999
"coconut milk"	0.120434
"red pepper"	0.119823
spice	0.118549
"hot pepper"	0.116359
Basil	0.116002
dill	0.115585
horseradish	0.115438
kosher	0.11275
"food coloring"	0.111721
"chili sauce"	0.111569
starch	0.111451
"orange juice"	0.111236
crumb	0.110207
"cottage cheese"	0.109973
tarragon	0.109345
shallot	0.109125
zest	0.106882
tapioca	0.10613
milk	0.105193
Tabasco	0.104629
lard	0.104618
"vanilla bean"	0.103643
coconut	0.101308
paste	0.100624
almond	0.100242
rum	0.0965017
yolk	0.0951365
sherry	0.0948722
"chicken broth"	0.094615
"whipping cream"	0.0940858
liqueur	0.0940766
"bay leaf"	0.0939127
cream	0.0930619
mint	0.0929362
"wheat flour"	0.0926
lime	0.0915127
"peanut butter"	0.0910269
lemon	0.0902481
anise	0.0900925
scallion	0.089987
pecan	0.0899323
onion	0.0893566
mayonnaise	0.0866012
lentil	0.0864365
teaspoon	0.0862378
"green onion"	0.0856893
cheese	0.0847299
Sage	0.0835598
"pineapple juice"	0.08352
Parmesan	0.0834464
"lemon peel"	0.0824767
"powdered milk"	0.0814996
soda	0.0809305
currant	0.0793498
chilies	0.0774054
yogurt	0.0772806
juice	0.0769088
"macadamia nut"	0.0768626
"pine nut"	0.0763399
jalapeno	0.0758469
syrup	0.0750232
"beef stock"	0.0740248
"tomato juice"	0.0740127
"white wine"	0.073833
"condensed milk"	0.0738008
"chicken stock"	0.0735564
nut	0.0729886
brandy	0.0715373
"cake mix"	0.0709292
"cream cheese"	0.0701721
"grated cheese"	0.0700569
caper	0.0699409
"ice water"	0.0690048
bran	0.0687184
puree	0.0687021
hazelnut	0.0686195
Chili	0.0676538
tahini	0.0676531
lemongrass	0.0669359
herb	0.0666417
ketchup	0.0666384
"milk powder"	0.0664503
pesto	0.0661902
broth	0.063966
olive	0.0635364
pimento	0.0628626
sweetener	0.0620992
"fruit juice"	0.0604491
"skim milk"	0.0604414
fraiche	0.059776
Provence	0.0597577
fennel	0.058478
"chili pepper"	0.0579269
ricotta	0.0576795
"dairy product"	0.0576757
vodka	0.0568542
bauxite	0.0568068
oatmeal	0.0566975
malt	0.0556148
celery	0.055499
"bell pepper"	0.0554688
Calvados	0.0548231
chutney	0.0542638
preservative	0.0536953
jelly	0.0534063
noodle	0.052988
"tomato sauce"	0.052892
"dried fruit"	0.0522113
))
("baking soda" (desc 5394.39) (sims
"baking powder"	0.449677
"almond extract"	0.326088
"vanilla extract"	0.308068
cornstarch	0.304012
"curry powder"	0.288715
nutmeg	0.284703
"cayenne pepper"	0.276282
cinnamon	0.272722
"chili powder"	0.262353
"white pepper"	0.259486
"brown sugar"	0.257509
turmeric	0.24214
allspice	0.239945
"celery seed"	0.237731
paprika	0.235727
"Worcestershire sauce"	0.226331
"lemon juice"	0.223622
vanilla	0.223512
cayenne	0.211633
"black pepper"	0.206798
oregano	0.205385
"lemon zest"	0.204953
"garlic salt"	0.20479
"cumin seed"	0.200825
"sesame oil"	0.20028
salt	0.199981
"coriander seed"	0.198834
cumin	0.197246
cardamom	0.195649
cornmeal	0.195053
flour	0.194662
"soy sauce"	0.192592
"pepper sauce"	0.18521
vinegar	0.183715
"orange zest"	0.182882
peppercorn	0.181316
clove	0.180024
thyme	0.179922
sugar	0.177401
coriander	0.177275
"mustard seed"	0.175186
"cider vinegar"	0.173421
"lime juice"	0.1715
ginger	0.171186
"fennel seed"	0.169492
gelatin	0.16896
yeast	0.16713
"corn syrup"	0.166068
"heavy cream"	0.165893
"sesame seed"	0.164477
"Tabasco sauce"	0.163141
mustard	0.158221
"evaporated milk"	0.156082
"wine vinegar"	0.155306
"tomato paste"	0.152739
cocoa	0.152441
"vegetable oil"	0.15182
saffron	0.150979
mace	0.149719
honey	0.147552
buttermilk	0.147447
pepper	0.14732
marjoram	0.146396
powder	0.145944
"olive oil"	0.145291
flake	0.144056
"maple syrup"	0.139653
shortening	0.138927
flavoring	0.136029
"orange juice"	0.134872
seasoning	0.134587
"peanut oil"	0.134524
Garlic	0.134107
molasses	0.132776
butter	0.13108
rosemary	0.130349
"egg white"	0.129096
"hot pepper"	0.126783
"red pepper"	0.124724
raisin	0.124477
margarine	0.122381
spice	0.121606
"star anise"	0.121264
"egg yolk"	0.11789
"seasoned salt"	0.117471
"coconut milk"	0.115882
cilantro	0.115079
miso	0.11367
"sour cream"	0.113458
"hot sauce"	0.113436
"pineapple juice"	0.113017
sherry	0.112893
horseradish	0.11131
half-and-half	0.110613
"chili sauce"	0.10841
bran	0.107499
coconut	0.107408
"food coloring"	0.106945
dill	0.106932
"orange peel"	0.105728
"Grand Marnier"	0.105214
shallot	0.10378
crumb	0.102657
bleach	0.102075
Basil	0.102004
"bay leaf"	0.101736
parsley	0.101662
almond	0.101072
mint	0.100883
"poppy seed"	0.0997947
tarragon	0.0955972
chive	0.0933188
lard	0.0927943
rum	0.0923102
"beef stock"	0.0917114
"cooking oil"	0.0916787
anise	0.091386
"chicken broth"	0.0908035
zest	0.0905587
milk	0.0894778
currant	0.0892378
lime	0.0889362
oat	0.0888511
ketchup	0.0887814
onion	0.0884627
yolk	0.0881548
herb	0.0877969
paste	0.086698
liqueur	0.0865462
"lemon peel"	0.0858302
mayonnaise	0.0854357
juice	0.08495
teaspoon	0.0847791
pecan	0.0847413
"macadamia nut"	0.0840451
"vanilla bean"	0.0840176
syrup	0.0839608
"peanut butter"	0.0837307
"cottage cheese"	0.0836519
Tabasco	0.0835024
lemon	0.0830008
soda	0.0828017
cream	0.0820725
"tomato juice"	0.0815047
sweetener	0.0814104
"whipping cream"	0.0812984
"cake mix"	0.0810711
"chicken stock"	0.0806226
nut	0.0801284
lentil	0.0798397
starch	0.0783913
hazelnut	0.0782728
licorice	0.077812
"pine nut"	0.0776659
oatmeal	0.0776062
jalapeno	0.0770993
yogurt	0.076333
"wheat flour"	0.0762194
tapioca	0.0760892
soy	0.0756137
"dried fruit"	0.0751907
"hoisin sauce"	0.0746048
Sage	0.074445
cheese	0.0743888
"condensed milk"	0.073769
bourbon	0.0734524
cider	0.0720225
"white wine"	0.0718987
Liquid	0.0707796
egg	0.0701044
Calvados	0.0690748
ammonia	0.0690739
detergent	0.0680811
Chili	0.0676225
acid	0.0673881
raspberry	0.0666623
"skim milk"	0.0665737
chilies	0.0665103
chocolate	0.0662849
brandy	0.0659663
sauce	0.0658057
"hydrogen peroxide"	0.0656873
"black bean"	0.0654953
caper	0.0653831
pistachio	0.0653121
electrolyte	0.0651109
broth	0.0640495
walnut	0.0636026
"green onion"	0.0625676
"grated cheese"	0.0624676
chorizo	0.0623982
scallion	0.0616193
caramel	0.0604565
Tamarind	0.0595363
"chili pepper"	0.0595164
"powdered milk"	0.059332
puree	0.0589785
"red wine"	0.0586049
seaweed	0.0585048
wasabi	0.0584016
))
(Baku (desc 9580.66) (sims
Tbilisi	0.218078
Yerevan	0.188952
Dushanbe	0.186231
Windhoek	0.172152
Tashkent	0.169154
Riyadh	0.165703
Vilnius	0.16383
Minsk	0.163747
Tripoli	0.162829
BRATISLAVA	0.158843
Gaborone	0.15744
Mbabane	0.156888
MANAMA	0.154282
Skopje	0.153676
Asmara	0.153297
Quito	0.152249
"Guatemala City"	0.150666
Asuncion	0.149608
Kigali	0.148987
Riga	0.148214
KIEV	0.147957
Ljubljana	0.146532
BUCHAREST	0.144567
ZAGREB	0.14408
Tallinn	0.143737
Kabul	0.143339
"La Paz"	0.141629
Pretoria	0.13941
Belfast	0.138285
MAPUTO	0.138219
Chisinau	0.13804
Dili	0.135795
Accra	0.135459
BOGOTA	0.134502
TIRANA	0.134138
Muscat	0.132758
Monrovia	0.131797
Doha	0.13158
"Phnom Penh"	0.131362
TEGUCIGALPA	0.130988
Khartoum	0.130922
"Addis Ababa"	0.130108
Kinshasa	0.129754
Amman	0.129426
Pristina	0.128326
Luanda	0.128221
Algiers	0.12804
HARARE	0.127071
Damascus	0.126029
Suva	0.124223
Rabat	0.124018
Abidjan	0.123977
SEOUL	0.123888
Bissau	0.123591
CARACAS	0.123014
BRASILIA	0.121563
Maseru	0.121553
Bishkek	0.121409
Oslo	0.121287
Istanbul	0.121287
Dublin	0.121287
Tehran	0.121154
"Cape Town"	0.121082
Vientiane	0.120619
Sarajevo	0.120541
SOFIA	0.119784
Beirut	0.119602
Bujumbura	0.119306
Islamabad	0.119111
"Dar es Salaam"	0.11841
BRUSSELS	0.11661
"Tel Aviv"	0.116454
"Santo Domingo"	0.115476
ANKARA	0.115082
Jakarta	0.115075
Lusaka	0.114352
Santiago	0.11421
Havana	0.114153
"San Salvador"	0.113479
SANAA	0.113414
Nairobi	0.113079
Durban	0.112613
Lome	0.112573
"Port Moresby"	0.111516
DHAKA	0.111036
Jeddah	0.111007
CAIRO	0.110765
COLOMBO	0.110679
BUDAPEST	0.110266
"Kuala Lumpur"	0.109486
Kandahar	0.109403
Prague	0.109029
Taipei	0.10897
"Buenos Aires"	0.108662
Grozny	0.108201
Bonn	0.108196
Srinagar	0.107902
Freetown	0.107698
Azerbaijan	0.107622
LISBON	0.106967
Lhasa	0.10643
KAMPALA	0.106241
HANOI	0.105375
Podgorica	0.105101
Urumqi	0.104976
"Banja Luka"	0.104943
Jayapura	0.104777
BELGRADE	0.104721
Berlin	0.10471
Ashkhabad	0.104537
Brazzaville	0.104527
PATNA	0.104501
Lahore	0.104458
TUNIS	0.104182
Karachi	0.103975
Vienna	0.103344
Abuja	0.103127
"New Delhi"	0.102916
Lima	0.102868
Moscow	0.102737
Mombasa	0.102407
Madrid	0.102294
Arusha	0.10154
Makhachkala	0.101107
NICOSIA	0.100934
Lagos	0.100682
Honiara	0.10057
Baghdad	0.100438
Strasbourg	0.0998966
Dakar	0.0996038
Manila	0.0995608
Rome	0.0994062
"Ho Chi Minh City"	0.0992581
CHENGDU	0.0992132
"San Juan"	0.0991953
Mogadishu	0.0991742
ATHENS	0.0990041
Copenhagen	0.0989427
Port-au-Prince	0.0982772
Moroni	0.0974256
YANGON	0.097164
"St. Petersburg"	0.0967704
PALERMO	0.0964115
Peshawar	0.0961633
Reykjavik	0.0955804
"Mexico City"	0.0949891
Bombay	0.0949475
WARSAW	0.0939499
Geneva	0.0934815
Bern	0.0933278
JOHANNESBURG	0.0931413
Kunming	0.0931362
Hangzhou	0.0931362
STOCKHOLM	0.0928003
MELBOURNE	0.092639
Munich	0.0925405
PYONGYANG	0.0923301
Gaza	0.0921347
Calcutta	0.0912882
"Abu Dhabi"	0.0909725
Alexandria	0.0905853
Lubumbashi	0.0903679
Bangkok	0.0903628
"Sao Paulo"	0.0896826
Huambo	0.0896615
Beira	0.0893599
Vladivostok	0.0886452
Cartagena	0.0885522
Zurich	0.0882952
Turkmenistan	0.0881816
Haikou	0.0879862
Bangui	0.0879134
Helsinki	0.0875103
Vladikavkaz	0.0873396
Auckland	0.0872673
DUBAI	0.0868801
Kuito	0.0868044
Managua	0.0867953
NANJING	0.0867584
Frankfurt	0.0855912
BLANTYRE	0.0847589
Yaounde	0.0846797
Turin	0.0845969
"Little Rock"	0.0836792
Kandy	0.0834643
Manado	0.0828463
Ramallah	0.0822007
Katmandu	0.0819463
Paris	0.0816359
Murmansk	0.0814973
Teheran	0.0813702
Amsterdam	0.0812817
Salzburg	0.0809088
Kuching	0.0809086
Conakry	0.0808043
LONDON	0.0805132
Tokyo	0.0803917
Nanning	0.07995
Hamburg	0.0795431
"Caspian Sea"	0.0791144
))
(Balaguer (desc 1695.91) (sims
Ouattara	0.126151
Diouf	0.117018
Aleman	0.113931
Kazhegeldin	0.113292
Tudjman	0.102534
Mejia	0.101601
Rhee	0.0997212
Guei	0.0977713
Fordice	0.0965249
Rau	0.0950369
Mahuad	0.0927324
Mugabe	0.0923403
Nateq-Nouri	0.0923073
Aristide	0.092261
Ashcroft	0.0919355
Bedie	0.0919334
Ruggiero	0.0918938
Bouchard	0.0915692
Rossello	0.0909602
Dodik	0.0908806
Bulatovic	0.0882589
Nebiolo	0.0881062
Duisenberg	0.0880851
Blatter	0.0861558
Shevardnadze	0.0854956
Schaeuble	0.0854285
McGreevey	0.0853621
Conte	0.0853059
Lazarenko	0.0850768
"Di Canio"	0.084641
Obasanjo	0.0829175
"Carlos Salinas"	0.0824002
Kasparov	0.0822513
Aliev	0.0819921
Bishara	0.0817165
Nader	0.0814206
Kumaratunga	0.0802401
Hanley	0.0799304
Menem	0.0797619
Lockyer	0.0794876
Eyadema	0.0793629
Meciar	0.0791622
Djukanovic	0.0790228
Banda	0.0789729
Bustamante	0.0786518
Labastida	0.0783072
Izetbegovic	0.0782826
Kaunda	0.0781133
Rafsanjani	0.0780565
Mokhehle	0.077899
Easley	0.0777419
Havelange	0.0777059
Nkomo	0.0776195
Mordechai	0.0775837
Berisha	0.0766218
Kasyanov	0.0765283
Poplasen	0.0749397
Montiel	0.074885
"Ricardo Lagos"	0.0747375
Ammiano	0.0743832
Ferraro	0.0739181
Verney	0.073882
Lautenberg	0.0733658
Lissouba	0.0733461
Harshbarger	0.0733025
Megawati	0.0732785
Musa	0.072752
Banzer	0.0727444
Treen	0.0726548
Yoo	0.0724768
Gowda	0.0724755
Lungren	0.0721264
Northup	0.0716631
Gephardt	0.0714986
Imperatori	0.0713436
Mineta	0.0709631
Yadav	0.0708467
Rakhmonov	0.0704188
Engler	0.0701043
"Barry Goldwater"	0.0698519
Buyoya	0.0696551
Ohlmeyer	0.0695262
Gosper	0.0695101
Soong	0.0689186
Tierney	0.0686453
Protas	0.0686383
Santorum	0.0681632
Corzine	0.0680811
Peres	0.068038
Kodikian	0.0678699
Dukakis	0.0678222
Donohue	0.0676853
Shahak	0.0672859
Yavlinsky	0.0670634
Masire	0.0668997
Quayle	0.066586
"Geraldine Ferraro"	0.0663594
Cardenas	0.0663573
Gargan	0.0663452
Supachai	0.0662081
Eizenstat	0.066197
Noboa	0.0661511
Scharping	0.0660505
Sassa	0.0659062
Merkel	0.0658441
Nazarbayev	0.0658153
Dobson	0.0657254
"Le Pen"	0.0656353
Shui-bian	0.0656297
Zhirinovsky	0.0656219
Symington	0.0655802
SHUSTER	0.0653309
Cuomo	0.0652997
Berlusconi	0.0652611
Hagelin	0.0652046
Schuessel	0.064997
Marineau	0.0649913
Fujimori	0.0649586
Moscoso	0.0648628
Isakson	0.0646443
Feingold	0.0646338
Katsav	0.0644486
Banharn	0.0641399
Schell	0.0640907
Beasley	0.0640561
Takeshita	0.064007
Kostunica	0.063836
Gormley	0.0636635
Beazley	0.0635679
McCollum	0.063295
Kostov	0.0632887
Beatty	0.0632634
Skiles	0.0631502
Perot	0.0631013
Goldwater	0.0629677
Barad	0.0629105
Catacosinos	0.0628132
Nasser	0.0627937
Kohl	0.0625792
Zeroual	0.0625235
Atwood	0.0625019
Luzhkov	0.0624954
Ghali	0.0623605
"McCaughey Ross"	0.0623331
Koehler	0.0622468
Connerly	0.0622136
Kajiyama	0.0620696
Bhutto	0.0617835
Constantine	0.0617764
Cardoso	0.0617606
McGovern	0.0617148
"Buddy MacKay"	0.0616286
Guterres	0.0615618
"George McGovern"	0.0613659
"Jim Florio"	0.0613366
Smitherman	0.0612715
Lipponen	0.0612472
Alarcon	0.0611745
Spyridon	0.0611658
Estrada	0.061117
Vasile	0.0610889
Millner	0.0610576
Slaney	0.061016
Allchin	0.0609495
"Sepp Blatter"	0.0609195
"Matt Fong"	0.0608607
Charest	0.0608215
Metcalf	0.0606193
D'Alema	0.0606128
Osborne	0.0604409
"David Duke"	0.0604015
Siegelman	0.0603949
Vogts	0.0601728
Feinstein	0.0600423
Nethercutt	0.0598027
Maloney	0.0597513
Brundtland	0.0596454
D'Amato	0.0593239
Moseley-Braun	0.0593154
"Perez Balladares"	0.059312
UNP	0.0592494
Bunning	0.0591799
Bauer	0.0591634
"Yitzhak Mordechai"	0.0591571
Klaus	0.0591076
Rabbani	0.0590447
"John Major"	0.0589731
Madrazo	0.0589012
Glendening	0.058688
Koch-Weser	0.0586701
Demaci	0.0586112
Aliyev	0.0586016
Ekeus	0.0585126
Modell	0.0584702
Rosen	0.0584159
Chavalit	0.0584029
Deuba	0.0583266
Schmalensee	0.0583041
Buthelezi	0.0582847
Gartner	0.0582204
))
(balance (desc 92927.5) (sims
imbalance	0.11928
equilibrium	0.113651
stability	0.100786
amount	0.0989112
"trade balance"	0.0982431
"balance of power"	0.0965205
value	0.0957088
saving	0.0943492
surplus	0.0920959
growth	0.0888028
deposit	0.0885927
payment	0.0879189
consistency	0.0872856
"balance of payments"	0.0870473
relationship	0.0867334
loan	0.086548
diversity	0.0864091
debt	0.0862459
difference	0.0858488
investment	0.0858249
strength	0.0854055
income	0.085363
deficit	0.0845265
quality	0.0841689
confidence	0.0821499
environment	0.0814108
flow	0.0813377
transparency	0.0811047
harmony	0.0808976
revenue	0.0793693
gap	0.0791054
unity	0.079076
cost	0.0788002
sum	0.0787658
interest	0.0785461
continuity	0.0779888
asset	0.0774819
efficiency	0.0767624
improvement	0.0767612
money	0.0766889
allocation	0.0758009
control	0.0756836
development	0.0756733
distribution	0.0752086
understanding	0.0749733
level	0.0749723
flexibility	0.0746541
compromise	0.0745256
change	0.0741453
budget	0.0740143
competitiveness	0.0738855
coordination	0.0738783
cohesion	0.0738445
discipline	0.0738423
structure	0.0738395
security	0.0735734
credit	0.0735267
ratio	0.0734856
sense	0.0734237
profit	0.0730776
portfolio	0.0727548
situation	0.0726628
adjustment	0.072616
"growth rate"	0.0725664
reduction	0.0721491
timing	0.0720367
integrity	0.0719841
expenditure	0.0718908
relation	0.071848
size	0.07182
earnings	0.0715808
reserve	0.0711071
ability	0.0710401
"trade deficit"	0.0710312
fairness	0.0708864
increase	0.0706879
concentration	0.070672
fundamental	0.0704314
health	0.0702879
resource	0.0700028
peace	0.0699425
recovery	0.0698801
fee	0.0698413
fund	0.0696899
trust	0.0696201
perception	0.0695545
reliability	0.0692194
perspective	0.0691579
disparity	0.0690308
Chemistry	0.068793
accuracy	0.0687402
benefit	0.0686621
equality	0.0684301
transaction	0.0680898
contribution	0.0679048
position	0.0679006
credibility	0.0677118
rate	0.0676803
skill	0.0675258
measure	0.0674639
liquidity	0.0673746
salary	0.067109
climate	0.0670201
scale	0.0669997
condition	0.0669711
momentum	0.0669143
clarity	0.0669117
policy	0.0667733
volume	0.0666917
accountability	0.066656
interaction	0.0666488
tax	0.066476
economy	0.0664613
depth	0.0664366
distinction	0.066357
speed	0.0662514
well-being	0.0662354
integration	0.066147
account	0.0659145
limit	0.0659062
management	0.0658854
price	0.0658073
"current account"	0.0657326
worth	0.0657166
focus	0.0657047
profitability	0.0656663
"interest rate"	0.0655155
trend	0.0654927
capability	0.0654079
maturity	0.0653325
pattern	0.0651894
productivity	0.0651692
cooperation	0.0651665
"balance sheet"	0.0651658
experience	0.0651463
quickness	0.0651158
valuation	0.0651102
system	0.0649713
bond	0.0649263
"trade surplus"	0.0648414
equity	0.0646378
supply	0.064599
bonus	0.0645335
trade	0.064528
tradeoff	0.064459
commitment	0.0642774
tension	0.0642329
mix	0.0641905
financing	0.0641114
intensity	0.0639059
wealth	0.063762
weight	0.0636528
diversification	0.0636377
dynamic	0.0635211
shortfall	0.0635025
power	0.0634875
progress	0.0634439
guarantee	0.0631644
taste	0.0631492
factor	0.0629188
strategy	0.0628886
Openness	0.0628639
total	0.0628454
number	0.0627453
arrangement	0.0626891
energy	0.0626723
breadth	0.0626222
"down payment"	0.0624661
spending	0.0624047
performance	0.0623475
wage	0.0623355
process	0.0623102
problem	0.0622608
cash	0.0620864
atmosphere	0.0620378
reform	0.0620212
stamina	0.0620183
availability	0.061928
patience	0.0619014
support	0.0618295
figure	0.0617782
gain	0.0617436
employment	0.0617312
range	0.0614011
democracy	0.0613584
attitude	0.061246
identity	0.0612423
dignity	0.0612379
prosperity	0.0612148
infrastructure	0.0611468
tolerance	0.0609808
contradiction	0.0608652
protection	0.0608281
respect	0.0607971
function	0.0607938
partnership	0.0607808
check	0.0607615
correlation	0.0607139
tone	0.0606926
share	0.0606388
))
("balance beam" (desc 2816.27) (sims
"parallel bars"	0.367416
"high bar"	0.355567
"pommel horse"	0.349462
"horizontal bar"	0.249718
vault	0.140635
skeet	0.0871602
"World Championship"	0.0803319
three-meter	0.0786527
"hammer throw"	0.0723262
"tea house"	0.0705312
GP	0.0703464
"Pan Ams"	0.0702445
dressage	0.0695625
epee	0.0692441
weightlifting	0.0688058
"Hopman Cup"	0.0664484
Seizinger	0.0617949
taekwondo	0.0612968
"Eastern Division"	0.0587296
"high jump"	0.0587144
flyweight	0.0586328
"United States Open"	0.0584365
decathlon	0.0578824
"Hong Kong Open"	0.0572364
"Skate America"	0.0572068
"balanced diet"	0.0568428
"second tour"	0.0561392
"Western Open"	0.0558862
mitzvah	0.055543
snooker	0.0555374
"pole vault"	0.0554116
"shot put"	0.055345
Heptathlon	0.0546797
"Canadian Open"	0.0545653
"SEC East"	0.0544719
javelin	0.0542715
"Italian Cup"	0.0541448
archery	0.0536386
trampoline	0.053427
"game room"	0.052815
pentathlon	0.0525652
"ski jumping"	0.0524461
"Southwest Conference"	0.0523634
"U.S. Amateur"	0.0521604
"Little League World Series"	0.0521215
springboard	0.0515508
judo	0.0514202
"AFC Central"	0.0511847
Maurier	0.0508498
"Big Sky Conference"	0.050156
"Hamlet Cup"	0.0500327
cudgel	0.0497669
"Maurier Open"	0.0495284
breaststroke	0.04947
Gymnastics	0.0494416
"NFC Central"	0.0487464
triathlon	0.0485621
"Uber Cup"	0.0485245
"table tennis"	0.0482243
"European Tour"	0.0480871
rowing	0.0480313
"European Cup"	0.0479299
"F.A Cup"	0.0478665
"ice skating"	0.0474865
Brasserie	0.0474674
Super-G	0.0471655
"Home Run Derby"	0.0470568
biathlon	0.0468964
"NFC West"	0.0468583
"Legg Mason"	0.0467316
dieting	0.0463031
Lipton	0.0461289
"field hockey"	0.045422
saber	0.0454044
"first cup"	0.0452519
"Italian League"	0.0452514
"West Regional"	0.0451068
"College World Series"	0.0449878
"Top Fuel"	0.0449612
"AFC West"	0.0447835
"Federation Cup"	0.0444016
pantomime	0.0443628
"Funny Car"	0.0440255
"low-fat diet"	0.0438177
WCC	0.0438133
"figure skating"	0.0437634
"long jump"	0.0436015
"first tour"	0.0435289
backstroke	0.0434584
"won one"	0.0433449
volleyball	0.0430776
WTA	0.0424943
"won four"	0.0424422
"Purple Heart"	0.0424404
cruiserweight	0.0422652
scull	0.041649
"Fed Cup"	0.0416222
wainscoting	0.0416004
"Liu Xuan"	0.0415968
takraw	0.0415528
steeplechase	0.0413126
"Pan Pacific"	0.0412724
"dance floor"	0.041107
"Senior PGA Tour"	0.0408966
"practice range"	0.0408649
"Japan Open"	0.0407258
fencing	0.0407173
"water polo"	0.0404437
"junior welterweight"	0.0404196
"won six"	0.0403597
"Central Division"	0.0402354
baseboard	0.0402302
"Pacific Division"	0.0402029
"Atlantic Division"	0.0402023
WBO	0.040095
))
("balance of payments" (desc 8923.14) (sims
"trade balance"	0.220663
"current account"	0.212373
"balance of trade"	0.178362
"trade deficit"	0.143238
bop	0.121997
"inflation rate"	0.120419
"trade surplus"	0.116929
"gross national product"	0.113835
"investment climate"	0.111919
"budget deficit"	0.111796
"tax collection"	0.111067
"economic condition"	0.105507
"gross domestic product"	0.101933
deficit	0.101579
"money supply"	0.0989635
GDP	0.0980689
liquidity	0.0977426
"business condition"	0.096567
inflation	0.0958678
"unemployment rate"	0.0953611
"labor market"	0.0934413
"balance sheet"	0.0908953
"financial condition"	0.09066
"monetary system"	0.089951
"growth rate"	0.0896758
"retail sale"	0.0889417
"exchange rate"	0.0884738
"banking system"	0.0882168
competitiveness	0.0882149
"vehicle sale"	0.0879792
unemployment	0.0872782
"foreign exchange"	0.0867845
"food supply"	0.086483
inflow	0.086055
"investor confidence"	0.084577
productivity	0.0841142
surplus	0.0824571
profitability	0.0815919
earnings	0.0809904
"oil market"	0.0808196
"standard of living"	0.0807488
employment	0.0785024
"consumer price index"	0.0781296
"birth rate"	0.077515
"oil production"	0.0774021
currency	0.0766986
"consumer demand"	0.0766207
"public security"	0.0756959
output	0.0745392
GNP	0.0741977
"banking industry"	0.0738048
"military capability"	0.0736909
debt	0.0736658
"debt service"	0.0734056
expenditure	0.0733755
"exchange market"	0.0728542
remittance	0.072564
"capital account"	0.0724182
"oil price"	0.0723302
"tax revenue"	0.0720203
"credit rating"	0.0719657
macroeconomics	0.0717201
"labor cost"	0.0713824
"interest rate"	0.0713623
borrowing	0.071361
"trade policy"	0.0701976
"job market"	0.0687835
"economic policy"	0.0683322
consumption	0.067954
rupiah	0.0676186
stability	0.0675894
"market condition"	0.0672281
"earnings growth"	0.0669687
"employment growth"	0.0669092
"earning per share"	0.0668605
"growth prospect"	0.0667813
indebtedness	0.0656353
fundamental	0.0653158
"bond market"	0.0644322
stabilization	0.0642756
"home sale"	0.0642059
infrastructure	0.0637866
"crime rate"	0.0632745
"national income"	0.0628669
outlook	0.062588
"revenue growth"	0.0621723
"central bank"	0.061843
financing	0.0616172
"profit margin"	0.0611463
readiness	0.0611026
"housing market"	0.0608895
shortfall	0.0606358
"world economy"	0.0606112
"oil industry"	0.0600532
"trade relation"	0.0598111
"trading partner"	0.0597557
"rate of inflation"	0.0596029
"environmental condition"	0.0591797
"legal system"	0.0591536
"steel production"	0.0590876
"elephant population"	0.0588291
"stock market"	0.0584739
"foreign policy"	0.0584081
"business activity"	0.0581357
"health service"	0.0581092
non-oil	0.057896
"debt problem"	0.0576912
"working capital"	0.0576241
"electronics industry"	0.0574755
"special drawing rights"	0.0571657
"quality of life"	0.0567204
deflation	0.0564374
tourism	0.056428
climate	0.0561841
preparedness	0.0559214
"family planning"	0.0557915
"development plan"	0.0556641
"currency market"	0.055532
rand	0.0553291
"Commission on Elections"	0.0552884
morale	0.0552506
"labor force"	0.0551565
peso	0.0551112
macro-economy	0.0551028
"debt payment"	0.0550755
ecosystem	0.0549576
"foreign exchange market"	0.054759
"economic system"	0.0547513
agriculture	0.0546328
"political relation"	0.054029
"Export Processing Zones"	0.0540259
baht	0.0539122
imbalance	0.0538494
"life expectancy"	0.0536475
"commercial bank"	0.0535676
"test score"	0.0534701
CPI	0.0532408
"production ceiling"	0.053184
equilibrium	0.0531401
convertibility	0.0530466
"tax policy"	0.0529783
viability	0.0523892
"producer price"	0.0523045
"weather conditions"	0.0522595
"civil service"	0.0521808
medium-term	0.0521789
well-being	0.0521734
"business relation"	0.0520463
cohesion	0.0519826
"coal industry"	0.0519712
"factory order"	0.0516318
"Olympic Committee"	0.0516304
indicator	0.0515641
"financial center"	0.0512831
oversupply	0.0512808
"fertility rate"	0.0512553
"net income"	0.0510414
joblessness	0.0507909
enrollment	0.0506053
governance	0.0504452
earner	0.050366
"tax system"	0.0503538
taxation	0.0501081
"Exchange Fund"	0.0498687
"production cost"	0.0498426
"retail price index"	0.0497766
rainfall	0.0497345
utilization	0.0497115
"Zimbabwean dollar"	0.0497091
"interest payment"	0.0496541
"personal income"	0.0496437
"construction industry"	0.0496117
urbanization	0.0494829
lending	0.0494795
manufacturing	0.0494675
"political system"	0.0494563
ratio	0.0494517
"foreign direct investment"	0.0494278
slowdown	0.0493621
"rate of growth"	0.0492482
"water supply"	0.0490687
outflow	0.0488524
"export sale"	0.0486
affordability	0.0485845
repayment	0.0485702
FDI	0.0484498
"armed forces"	0.048389
recession	0.0482643
"occupancy rate"	0.0481911
"poverty rate"	0.0481867
"cost of living"	0.0479562
SMEs	0.047939
throughput	0.0478646
"pricing system"	0.0478392
"transportation system"	0.0477495
servicing	0.0477001
advancement	0.0475043
"business community"	0.0474991
depreciation	0.047492
"operating budget"	0.0474745
))
("balance of power" (desc 9765.72) (sims
balance	0.0965205
equilibrium	0.089444
"power structure"	0.0829137
"center of gravity"	0.0823404
toehold	0.0741624
"trade balance"	0.0710181
"playing field"	0.070954
"status quo"	0.0704238
"investment climate"	0.0687188
"economic system"	0.0669391
paradigm	0.0645612
"Anti-Ballistic Missile Treaty"	0.064323
climate	0.0629473
dynamics	0.0627034
dynamic	0.0626287
"circadian rhythm"	0.0622241
"public opinion"	0.0621093
cohesion	0.0600221
"arms race"	0.0597737
"balance of trade"	0.0596055
"absolute majority"	0.059234
"rate of exchange"	0.0590723
"air pressure"	0.0582747
stability	0.0582747
"form of government"	0.0566225
"sphere of influence"	0.0565717
ecosystem	0.055879
equation	0.0557935
"leadership position"	0.0541736
"trade policy"	0.0541318
imbalance	0.0535492
"political relation"	0.0526772
"electoral system"	0.0526362
"economic condition"	0.0523591
harmony	0.0518588
interdependence	0.0513894
parity	0.0513738
demographics	0.0513203
representation	0.051299
polarization	0.0511385
"labor agreement"	0.0506349
axis	0.0502868
outlook	0.050153
hackle	0.0499678
rightward	0.0499257
bipartisanship	0.04988
"investor confidence"	0.0498185
distrust	0.049602
"written agreement"	0.0494253
"floor leader"	0.0492518
bickering	0.0491745
"monetary system"	0.0491627
mindset	0.0489025
second-worst	0.0488646
unity	0.0483388
antagonism	0.0481175
"burden of proof"	0.0478629
"trade agreement"	0.0478182
dominance	0.0475292
"dividing line"	0.0474718
"district line"	0.0473619
"state of affairs"	0.047273
"social system"	0.0471507
"balance of payments"	0.0469535
alignment	0.0463754
clout	0.0461992
logjam	0.0461449
"economic policy"	0.0460943
"sense of balance"	0.0455479
"pecking order"	0.0454977
"business condition"	0.045481
calculus	0.045332
supremacy	0.0452839
"free trade"	0.0447884
"Great Divide"	0.0447112
"political system"	0.0446842
rivalry	0.0446011
stalemate	0.044587
"business cycle"	0.0443673
"leadership role"	0.0443365
friction	0.0442456
"tax treatment"	0.0438779
"vote counter"	0.0437869
hegemony	0.0435953
seniority	0.0435944
diplomacy	0.0433043
governance	0.0432434
"trade barrier"	0.0431855
"medical practice"	0.0430732
"market order"	0.0430088
"standard of living"	0.0429748
armament	0.0429646
"trade relation"	0.042815
coexistence	0.0426985
"oil market"	0.0423884
"financial center"	0.0423529
"co- operation"	0.0422931
discord	0.0421611
peacemaker	0.0419038
boundary	0.0418075
"arms control"	0.0417945
mind-set	0.0416517
"blood feud"	0.0415894
deterrence	0.0414212
"tax system"	0.041158
onus	0.0411467
isolationist	0.0409859
"way of life"	0.0408938
foothold	0.0408687
linkage	0.0408458
"life style"	0.0407703
face-off	0.040656
"difference of opinion"	0.040656
"growth prospect"	0.0406557
tranquility	0.040616
comity	0.0405705
"fertility rate"	0.0403846
discourse	0.0402707
"ill will"	0.0402628
"flash point"	0.0402468
ceasefire	0.0400374
"exchange market"	0.0400116
))
("balance of trade" (desc 3960.99) (sims
"trade balance"	0.28037
"balance of payments"	0.178362
"current account"	0.159225
"trade surplus"	0.117988
"trade deficit"	0.11473
"political relation"	0.113969
"investment climate"	0.101138
"business condition"	0.0888457
"trade relation"	0.0866408
"factory order"	0.080407
"business relation"	0.0803311
"producer price"	0.0788695
imbalance	0.0772101
bop	0.0770813
"leading indicator"	0.0720444
"retail sale"	0.0681499
"capital account"	0.0681183
"gross national product"	0.0668561
"arms deal"	0.0667325
seven-point	0.0667253
"trade agreement"	0.0648044
"nearly @@ billion yuan"	0.0607385
"debt service"	0.0607266
"tax treatment"	0.0604847
"fertility rate"	0.0604513
"economic condition"	0.0600953
GDP	0.0600023
"consumer price index"	0.0598758
"inflation rate"	0.0598086
"market condition"	0.0596354
"balance of power"	0.0596055
"Export Processing Zones"	0.0587415
"housing industry"	0.057261
"free trade"	0.0572255
rapprochement	0.0567774
"national income"	0.0564742
heatwave	0.0564507
"elephant population"	0.0564327
"gross domestic product"	0.0560053
detente	0.0559875
"weather conditions"	0.0559334
good-neighborliness	0.054666
"state of war"	0.0543772
nine-point	0.0533751
"growth prospect"	0.0531287
enrolment	0.0526804
"electronics industry"	0.052188
Differential	0.0511841
"peace treaty"	0.0510427
competitiveness	0.05089
"mortality rate"	0.0507731
"co- operation"	0.0505487
"wholesale price index"	0.0503999
"rate of growth"	0.0499352
"labor cost"	0.0495972
GNP	0.0494623
"tax collection"	0.0494361
"standard of living"	0.0494077
"personal income"	0.0488402
"financial condition"	0.0486776
"cost structure"	0.0486548
"test score"	0.0486393
"foreign direct investment"	0.0484223
"more than @@ million dollars"	0.0482536
"rate of inflation"	0.0479867
"poverty rate"	0.047906
"High Commission"	0.0477445
"retail price index"	0.0477204
FTA	0.0474991
indices	0.047466
"unemployment rate"	0.0473619
"bank rate"	0.0470669
five-point	0.0467238
Orders	0.0465639
"home sale"	0.0461837
"vehicle sale"	0.0461377
ridership	0.0461013
"trade policy"	0.0460337
"economies of scale"	0.0459699
"personal relation"	0.0459629
eight-point	0.0458894
"oil production"	0.0458735
inflow	0.0458181
"Weighted Price Index"	0.0456405
"shipbuilding industry"	0.0455823
"crime rate"	0.0455196
two-point	0.0454572
dollars-worth	0.0450151
hosting	0.0449526
"environmental condition"	0.0448575
"pretax profit"	0.0447051
"railway system"	0.0443968
macro-economy	0.0441266
utilization	0.0439796
"trading partner"	0.0439047
"price index"	0.0435975
one-point	0.04354
"about @@ billion yuan"	0.0434701
"military capability"	0.0432541
"operating budget"	0.0431606
"first seven months"	0.0431209
six-point	0.0431196
"tax system"	0.0430284
"debt problem"	0.0430235
"net profit"	0.0425325
"birth rate"	0.0423905
occupancy	0.0423318
"mortgage rate"	0.0422394
"debt payment"	0.0421761
"tax revenue"	0.0420794
"steel production"	0.0419853
"balance sheet"	0.041763
four-point	0.0417359
downslide	0.0412794
"more than @@@ million US dollars"	0.0412105
"life expectancy"	0.0410868
"flow rate"	0.041031
"Shan State"	0.040702
ballooning	0.0406601
indebtedness	0.0405251
interoperability	0.0405228
"postal service"	0.0405207
"summary judgment"	0.0403154
throughput	0.0402656
"billion yuan"	0.0402614
profitability	0.0402562
))
("balance sheet" (desc 13026.6) (sims
"financial condition"	0.138461
"financial statement"	0.115357
profitability	0.105615
"growth prospect"	0.101063
liquidity	0.094074
"balance of payments"	0.0908953
"bottom line"	0.0892565
portfolio	0.08902
fundamental	0.0830296
"earning per share"	0.0811021
"banking system"	0.0791241
earnings	0.0787079
"order book"	0.0784838
asset	0.0781423
"profit margin"	0.0763462
"trade balance"	0.0759542
"investment climate"	0.0756927
"asset value"	0.0742798
inventory	0.0739088
profit	0.0738463
"cost structure"	0.0724015
"credit rating"	0.0715176
"earnings growth"	0.0714657
competitiveness	0.0710939
"tax base"	0.0703067
"investor confidence"	0.0700937
"book value"	0.0698389
"investment portfolio"	0.0696801
debt	0.0694069
valuation	0.0693987
"tax collection"	0.0693604
"business plan"	0.0680289
revenue	0.0673884
"credit history"	0.0673079
"debt load"	0.0661477
"revenue growth"	0.0660805
"business condition"	0.0658181
"net income"	0.0657956
efficiency	0.0656945
balance	0.0651658
outlook	0.064991
coffer	0.0642958
productivity	0.0633614
borrowing	0.0631251
"market share"	0.0630426
"product line"	0.062243
"line of products"	0.0622035
viability	0.0618669
"work force"	0.0613161
"current account"	0.0610959
"operating cost"	0.0607971
"dividend yield"	0.060684
capitalization	0.0606447
"business activity"	0.0606023
"labor market"	0.0595167
solvency	0.0588505
workforce	0.058664
borrower	0.0585246
liability	0.0584879
"borrowing cost"	0.0583981
"tax return"	0.0582563
creditworthiness	0.0577371
equity	0.0575067
holding	0.0573213
"quality of life"	0.0573031
soundness	0.0572486
"proxy statement"	0.0569907
"earnings report"	0.0569243
payroll	0.0567939
NPLs	0.0564948
"bad debt"	0.0563869
recapitalization	0.056373
infrastructure	0.0563573
morale	0.0559116
"board of directors"	0.0558732
"budget deficit"	0.0555277
"net profit"	0.0549258
ratio	0.0547457
"job market"	0.0545092
"retail operation"	0.0541786
"market value"	0.0541032
Financials	0.0535433
saving	0.0534299
divestitures	0.0533833
self-esteem	0.0533681
roster	0.0532777
"consumer demand"	0.0530846
"trust fund"	0.0530445
expenditure	0.0530309
"economic condition"	0.0529755
reputation	0.0529581
"distribution system"	0.0527686
profile	0.0525586
"medical record"	0.052267
capability	0.0519144
"tax bill"	0.0517319
"sales force"	0.051378
exposure	0.0513684
preparedness	0.0511055
lending	0.0509885
"market condition"	0.0508043
transaction	0.0506739
prospectus	0.0505765
ownership	0.0505735
"political relation"	0.0505457
"production cost"	0.0505363
"monetary system"	0.0504898
"housing market"	0.0502825
peso	0.0501244
"legal system"	0.0500389
GDP	0.0498893
"accounting system"	0.0494463
"employment growth"	0.0494346
pricing	0.0494227
"money supply"	0.0492112
perception	0.0492082
"pension fund"	0.0491947
financing	0.0491058
"world economy"	0.0490178
"oil price"	0.0489524
deficit	0.0488463
"stock market"	0.0488434
indebtedness	0.0486064
audit	0.0485573
"bond market"	0.0484798
"equity investment"	0.0484163
nationalization	0.0483836
"head office"	0.0483113
"competitive advantage"	0.0481398
documentation	0.0480217
bankruptcy	0.0479818
backlog	0.0478787
"standard of living"	0.0478599
"retirement plan"	0.0478269
"computer network"	0.0477771
projection	0.0477707
liquidation	0.047558
reliability	0.0475398
psyche	0.0474693
"labor cost"	0.0473878
"internal control"	0.0472148
divestiture	0.0471515
credibility	0.0470455
"expense account"	0.0470358
surplus	0.0469151
"retirement benefit"	0.0467894
dividend	0.0465472
receipt	0.0464011
"distribution network"	0.0463732
ecosystem	0.0462342
finances	0.0461865
employment	0.0459958
banking	0.045846
"exchange rate"	0.0458369
subsidiary	0.0458303
database	0.0457368
shareholding	0.045548
"credit card"	0.0455461
Ledger	0.045352
"retail sale"	0.0453154
"phone system"	0.045276
"military capability"	0.0452078
"bank account"	0.0449528
adequacy	0.0448405
prestige	0.0448249
distribution	0.0447542
"weather forecast"	0.0446574
rand	0.0446276
sentiment	0.0445711
accounting	0.0445523
"trade deficit"	0.0443322
paycheck	0.0443251
imbalance	0.0440547
docket	0.0438574
menu	0.0438334
Privatization	0.0437857
"growth rate"	0.0435257
"customer service"	0.0435062
resilience	0.0434198
foundations	0.0434163
insolvency	0.0433659
"purchase price"	0.0433291
"tax form"	0.0433177
"working capital"	0.0433058
governance	0.043246
"running game"	0.0432383
expertise	0.0430886
"trade secret"	0.0430691
"shareholder value"	0.043023
inflow	0.0428492
directory	0.0428164
setup	0.0427163
"business line"	0.0426741
"economic policy"	0.0425252
write-down	0.0425247
"operating budget"	0.0424027
stockpile	0.0423872
"truck sale"	0.0423701
"social security"	0.042324
"business relation"	0.0423193
))
("Balanced Budget Act" (desc 2135.36) (sims
"Telecommunications Act"	0.248449
"Voting Rights Act"	0.193235
"Clean Air Act"	0.175935
"Civil Rights Act"	0.174384
"Kyoto Protocol"	0.12917
"Antiquities Act"	0.126196
"Helms-Burton Act"	0.118146
"Clean Water Act"	0.10866
"Community Reinvestment Act"	0.107026
"North American Free Trade Agreement"	0.102876
"Lusaka Peace Accord"	0.0950827
"organic law"	0.0884228
"Disabilities Act"	0.0854919
"tax bill"	0.0830644
"Endangered Species Act"	0.0828149
"bankruptcy law"	0.0804087
"Bank of Canada"	0.0798613
"Title IX"	0.0761708
"Proposition @"	0.0753492
"Sino-British Joint Declaration"	0.0728951
"tax change"	0.0726446
"Bank of Italy"	0.0724496
"Oslo Accords"	0.072363
NAFTA	0.0719192
"Geneva convention"	0.0715534
"International Amateur Athletics Federation"	0.0704952
"Oslo Accord"	0.0702433
"Lusaka Protocol"	0.0690132
"Vienna Convention"	0.0688112
"trade agreement"	0.0674166
"Maastricht Treaty"	0.0664641
"Consumer Product Safety Commission"	0.0659099
sickout	0.0654372
"Monetary Policy Committee"	0.0652552
"Six Day War"	0.064725
"Proposition @@@"	0.06369
"U.S. Constitution"	0.0635765
FOMC	0.0634201
"Petroleum Exporting Countries"	0.0632771
Shays-Meehan	0.0625542
"START II"	0.0616445
"second and third quarters"	0.061618
"Montreal Protocol"	0.0598047
"defense budget"	0.0589014
"Bank of Israel"	0.058787
"human activity"	0.0583119
"Proposition @@"	0.0581994
AZT	0.0566714
raloxifene	0.0562126
manifesto	0.0559331
"criminal law"	0.0558437
"Development Bank of Singapore"	0.0557019
"counsel law"	0.0554798
"British government"	0.0550239
Helms-Burton	0.0549025
FTA	0.0546151
"cost cutting"	0.0545315
"Resolution @@@"	0.0542984
"Reserve Bank of Australia"	0.0540256
"first eleven months"	0.0538229
"Occupational Safety and Health Administration"	0.0536777
Ghosn	0.0534068
"gasoline tax"	0.0532108
"abortion law"	0.052212
"electoral system"	0.0515883
"Anti-Ballistic Missile Treaty"	0.0509742
PNTR	0.0509358
ERISA	0.0503388
BOJ	0.0503215
Avonex	0.0501085
"peace treaty"	0.050008
pandemic	0.0498243
"spending cut"	0.0497801
"consumption tax"	0.0497471
"budget cut"	0.0497215
nevirapine	0.0496832
"tax system"	0.0494374
"antitrust law"	0.0491548
goverment	0.0490778
"rule of evidence"	0.0490525
"technological revolution"	0.0488766
"highway system"	0.0488552
"Bill of Rights"	0.048848
"La Nina"	0.0487644
VFA	0.0484175
"Arab-Israeli War"	0.0481911
"Federal Reserve Board"	0.0481638
"U.S. Federal Reserve"	0.0481277
"estate tax"	0.0481138
"Philippine Central Bank"	0.047874
belt-tightening	0.0476309
"reserve bank"	0.0475801
"International Covenant"	0.0474921
miscalculation	0.0474297
"medicare payment"	0.0473705
Ada	0.0472269
"billion over @@ years"	0.0472144
"funds rate"	0.047209
"heat wave"	0.0471949
"Israeli Knesset"	0.0469658
"Holy Year"	0.0466547
oversupply	0.0465966
"accounting problem"	0.0465866
"penal code"	0.0464038
"barrels per day"	0.0463575
Hightower	0.0463538
"bank rate"	0.0463301
glut	0.0461453
downsizing	0.0460512
ISO	0.0459298
"oil business"	0.0459042
"Bank Indonesia"	0.0457317
"United Republic of Tanzania"	0.045557
"Spanish-American War"	0.0455271
NCEC	0.0455018
"W.W Norton"	0.0454096
armistice	0.0453826
"second unit"	0.0453614
physicals	0.0453035
"No. @@@@"	0.0452273
"Department of Health and Human Services"	0.0451158
"gold rush"	0.0450246
"inheritance tax"	0.0448897
"Health Care Financing Administration"	0.0447744
"last nine months"	0.0447725
"U.N. Security Council Resolution @@@"	0.0447432
"Senate Appropriations Committee"	0.0447142
largess	0.0446378
bylaw	0.0445985
temblor	0.0443749
nearing	0.0443134
serendipity	0.0442934
"Uruguay Round"	0.0441068
overproduction	0.0438547
"auto manufacturer"	0.0438512
Zabar	0.0436933
"Organization of Petroleum Exporting Countries"	0.0436688
"Nuclear Regulatory Commission"	0.0434777
outage	0.0434755
"property tax"	0.0434607
"Department of Corrections"	0.0434348
"START III"	0.0434232
"permanent normal trade relations"	0.0433675
"trade bill"	0.0433561
whammy	0.0432964
"policy change"	0.0431755
"market condition"	0.0431647
"US House"	0.0431376
"Resolution @@@@"	0.0431349
"Joint Declaration"	0.0431292
retooling	0.0430819
"Hurricane Floyd"	0.0430649
CSA	0.0429637
"quota system"	0.0429196
Moody's	0.0428594
"Bureau of Land Management"	0.0427819
"excise tax"	0.0426126
framer	0.0424969
ACB	0.0424604
"brain drain"	0.0424472
"U.S. Fed"	0.0424281
"bull market"	0.0422895
"Department of Fish"	0.042203
reapportionment	0.0421738
mitochondria	0.0421106
Tootsie	0.0420834
"NL Rookie"	0.0420703
"retirement benefit"	0.0420291
Caesarean	0.0419598
Wye	0.0419522
"European Central Bank"	0.0418583
"labor agreement"	0.0418556
"benefit program"	0.0417889
"Consolidated Edison"	0.0417504
calamity	0.0417038
"rising prices"	0.0416543
"Article @@"	0.041632
"Donaldson, Lufkin &AMP; Jenrette"	0.0416175
"Guinness Book"	0.0416172
"labor cost"	0.0412718
"Warner Books"	0.0412517
"Comprehensive Test Ban Treaty"	0.0412406
"Gorges Project"	0.0411759
RBA	0.0411467
"first reading"	0.0409858
"Bank of England"	0.040939
"Indonesian Military"	0.0407857
"Winning Colors"	0.0407386
"Hurricane Georges"	0.0406232
"American plan"	0.0405983
"work stoppage"	0.0405797
snafu	0.0405287
surtax	0.0405278
"machine shop"	0.0404914
"Yugoslav Army"	0.0404451
"first two quarters"	0.0404378
"freshman class"	0.0403464
"another @"	0.0402937
"World Figure Skating Championships"	0.040241
"employment contract"	0.0401791
))
("balanced diet" (desc 973.241) (sims
"low-fat diet"	0.132731
dieting	0.0976151
Twinkies	0.0832771
"social contract"	0.0793049
"raw meat"	0.0688953
legume	0.066606
hygiene	0.0663587
willpower	0.0649133
upkeep	0.0629448
"light touch"	0.0621334
calorie	0.0600614
stimulation	0.0596055
cudgel	0.059572
non-whites	0.0592395
"chicken sandwich"	0.0587551
birdbath	0.0584295
"body weight"	0.0582958
"pommel horse"	0.0582121
cheeseburger	0.0574078
"filet mignon"	0.0570521
"balance beam"	0.0568428
"sunflower seed"	0.0563126
takeaways	0.0562689
tact	0.0551416
"grade point average"	0.0547994
self-control	0.0536513
socialization	0.0533319
prudence	0.0520806
drumstick	0.0518867
mammograms	0.0517833
"macaroni and cheese"	0.051751
ventilation	0.0515641
"vitamin D"	0.0513831
inclusiveness	0.0510835
matzoh	0.0510566
"ball club"	0.0509795
"blind spot"	0.0505817
porridge	0.0505069
quorum	0.0502163
"good story"	0.0501048
co-payment	0.0500636
blandness	0.0496079
dribbling	0.0495347
offal	0.0489704
latrine	0.0488773
"preventive medicine"	0.0488488
"positive feedback"	0.0487401
shortcake	0.0486998
"physical education"	0.048688
"tuna fish"	0.048471
"fishing license"	0.048048
downtime	0.0480161
bonbon	0.0477339
"team spirit"	0.0477115
hotdog	0.0475908
preachy	0.0472652
psychotherapy	0.0471965
Wheaties	0.0470747
"goose bumps"	0.0470054
GPA	0.0468258
"horizontal bar"	0.0466939
morals	0.0465083
hand-holding	0.0463021
chastity	0.0461979
"green salad"	0.0457285
Wellness	0.0456387
self-image	0.0454983
pasty	0.0454046
telomeres	0.0452246
"three pitchers"	0.0451282
"corned beef"	0.045079
"clean slate"	0.0450554
half-dozen	0.0449574
dowry	0.0449281
"written agreement"	0.0448593
harder	0.0447313
"Caesar salad"	0.0446345
"candy bar"	0.0445129
"citrus fruit"	0.0444146
volunteerism	0.0443844
"root vegetable"	0.0443542
nonviolence	0.0442616
Patrimony	0.0442204
"dental care"	0.0438326
cutlet	0.0438175
airplay	0.0436702
gerbil	0.0432206
renegotiation	0.0432163
preconception	0.0429628
firewalls	0.0429368
mating	0.0428487
"leisure time"	0.0428357
"civic duty"	0.0427953
"chocolate cake"	0.0427045
"Kuril Islands"	0.0426947
frankfurter	0.0426392
"speeding ticket"	0.0426019
Tamale	0.0424697
gallbladder	0.0423687
scone	0.0422171
pastrami	0.0422103
predisposition	0.0419469
diode	0.0418976
"sense of balance"	0.0417371
clitoris	0.0417069
hummus	0.0416983
persimmon	0.0416818
"pound cake"	0.041564
watering	0.0414871
reevaluation	0.0414632
"coffee pot"	0.0414028
"brokerage account"	0.0413735
sashimi	0.04124
sport-utility	0.0411704
"birthday cake"	0.0411455
"bank withdrawal"	0.0410596
vasectomy	0.0409409
sugarcane	0.0409397
eugenics	0.0408553
liveliness	0.0408542
"raw vegetable"	0.0408181
"surface area"	0.0406716
"circulatory system"	0.0405988
pizazz	0.0405587
rededication	0.0404999
"septic tank"	0.040472
"bamboo shoot"	0.0401187
popsicle	0.0400832
monogamy	0.0400582
"animal fat"	0.0400449
))
(Balanchine (desc 5936.58) (sims
"George Balanchine"	0.290771
Ailey	0.141834
Forsythe	0.124815
"Martha Graham"	0.124699
Fosse	0.115861
Robbins	0.105585
"Jerome Robbins"	0.0966381
Stravinsky	0.0929213
"Ballet Theater"	0.0926196
"Susan Stroman"	0.0922627
Tharp	0.0895683
Bolshoi	0.0820937
"Aaron Copland"	0.0820519
"Bob Fosse"	0.0817593
Tchaikovsky	0.0764677
Trischitta	0.0730507
"Leonard Bernstein"	0.071845
Nijinsky	0.0693392
Mahler	0.0670362
"modern dance"	0.0669143
"Paul Taylor"	0.066358
Kirov	0.0652386
"New York City Opera"	0.0634608
Prokofiev	0.0613251
MAMET	0.0603666
Truffaut	0.0598157
"American Ballet Theater"	0.0594636
Germanic	0.0594392
Pushkin	0.0583276
Shostakovich	0.0576127
Ives	0.0565454
Puente	0.0564809
Baryshnikov	0.0563647
Kubrick	0.0553886
Hula	0.0550841
Limon	0.0543639
Durwood	0.0543419
Graham	0.0541326
Hurst	0.0535829
Degas	0.0530535
He/she	0.0529657
Girard	0.051291
ballet	0.0511067
Dunham	0.0509831
Frankenheimer	0.0509795
Fleischer	0.0506962
"Royal Ballet"	0.0505996
Thoreau	0.0503983
Beethoven	0.0501737
choreographer	0.0501676
Taymor	0.0493484
Bach	0.0490212
Sargent	0.0490068
"Pope John Paul"	0.048939
Castaneda	0.0488623
Mozart	0.0488037
Havelange	0.048728
Ataturk	0.0483278
Britten	0.0482451
Joyce	0.0482384
Bourne	0.0481789
mambo	0.0479579
Bernstein	0.0477093
Nutcracker	0.047272
Messiaen	0.0471738
Tudor	0.0471536
Haydn	0.0468854
Mendes	0.0466613
Kerouac	0.0465593
Schulz	0.0465498
Hemingway	0.0461238
Komura	0.0461202
Nabokov	0.0460491
Welles	0.0459853
Goethe	0.0457416
flamenco	0.045315
Puzo	0.0450666
"Philip Johnson"	0.0447514
Cunningham	0.0444041
Montalvo	0.0442029
Gershwin	0.0439242
Holzman	0.0433348
Garth	0.0432044
Schoenberg	0.0429402
Boulez	0.0425801
Mitterrand	0.0423381
"Orson Welles"	0.0423356
Pugh	0.0420686
Farah	0.0419909
ballerina	0.0418942
Hatfield	0.0416322
Reinhardt	0.0416106
Hartman	0.0413062
Calla	0.0411812
"City Ballet"	0.0409249
Borges	0.0408937
Verdi	0.040792
Miyazaki	0.040553
"Royal Shakespeare Company"	0.0404652
Shatner	0.0403969
Postel	0.0403686
Blackman	0.040284
Shepard	0.040241
Shurmur	0.0401954
Copland	0.040087
Theroux	0.0400675
Russert	0.0400252
))
(balancing (desc 7472.99) (sims
calibration	0.0738167
juggling	0.0716266
mixing	0.0538718
figuring	0.0524004
calculus	0.0515186
"line item"	0.0502913
lessening	0.049962
dynamics	0.0484784
trapeze	0.0471969
tightrope	0.0465731
psychodrama	0.0460562
Hands-off	0.0460307
winnowing	0.0458775
"black sheep"	0.0454848
oversight	0.0454201
defining	0.0451521
leveling	0.0441882
decentralization	0.0435629
maturing	0.0434621
paring	0.0428693
stagecraft	0.0428238
Helms-Burton	0.0427929
abdication	0.0427341
"public speaking"	0.0422823
Convergence	0.0421875
diversification	0.0421213
Houdini	0.0420705
straitjacket	0.0419737
tracing	0.0419476
sharing	0.0418314
placing	0.0416176
diminution	0.041454
pooling	0.0414483
tackling	0.0408741
"sleight of hand"	0.0400079
))
(Balboa (desc 2223.42) (sims
"Marcelo Balboa"	0.227787
Lalas	0.196566
Wynalda	0.17173
"Jeff Agoos"	0.120243
"Eric Wynalda"	0.111458
Preki	0.099767
Assab	0.0932401
"Tab Ramos"	0.0897108
Welton	0.0813431
Mcbride	0.0797691
"Tony Meola"	0.0788663
"John Harkes"	0.0750447
Durres	0.0739094
Calais	0.0725491
Salonica	0.0721912
Limon	0.0697057
Limassol	0.0680167
Mtwara	0.0679353
Hejduk	0.0673498
Lassiter	0.066888
oceanside	0.0664561
Vlore	0.0647132
Palma	0.0635436
"Frankie Hejduk"	0.062382
Renteria	0.0623615
Trincomalee	0.0612214
"Red Hook"	0.0609631
Matadi	0.0603655
Aqaba	0.0600433
Galle	0.058339
"Joe-Max Moore"	0.0559711
espana	0.0558726
Sihanoukville	0.0550531
Beihai	0.0547406
Sevastopol	0.0546645
Cordoba	0.0546123
Salas	0.0541689
"Brian McBride"	0.0540307
Merca	0.0536249
"Sea Launch"	0.0531713
Reforma	0.0530663
Kaohsiung	0.0525049
Kismayu	0.0519785
Pablo	0.0515532
oceanfront	0.0515333
Guerra	0.0513269
Beira	0.0509093
Qinhuangdao	0.0507686
Toulon	0.0502747
Cienfuegos	0.0500319
Valparaiso	0.0498416
Zhangjiagang	0.0498058
Larnaca	0.049782
Piraeus	0.04976
Aquino	0.0496538
Gatling	0.0492257
Dolores	0.0488804
Bari	0.0485372
Kisumu	0.0483818
Murmansk	0.048305
Misuari	0.0480944
Gdansk	0.0480924
Borbon	0.0477438
"Bankers Trust Corp."	0.0472635
Suez	0.0470137
"Mike Burns"	0.0467616
"Ryan Kealy"	0.0466439
Americas	0.0465546
Pusan	0.0464861
Bushehr	0.0464225
Ranford	0.0463981
Dubrovnik	0.0460154
Etcheverry	0.0457929
Rostock	0.0457794
"Congo River"	0.0456593
Clifton	0.0456495
Polgar	0.0455139
"Universal Serial Bus"	0.0453641
Inchon	0.0450848
casa	0.0450071
Ashkelon	0.044932
FireWire	0.0448156
Trieste	0.0447129
Lofton	0.0445848
Bellingham	0.0442857
Hoya	0.0441834
Serna	0.0437566
Odessa	0.043662
Acapulco	0.0436556
"Alexi Lalas"	0.0435651
Stumpel	0.0435578
Haifa	0.0434861
Cassell	0.0433466
Cota	0.043174
Scalabrine	0.0429995
"Robert Pires"	0.0429631
Devine	0.0429005
Cartagena	0.0427006
Aden	0.0426035
Manta	0.0424516
Chittagong	0.0422987
Bruijn	0.0420835
MacLean	0.0420341
"Burlington Northern"	0.0419633
Graziani	0.0418654
Guzman	0.0416953
hermosillo	0.0416208
Deportivo	0.0415839
Boer	0.0415437
Cebu	0.0415016
Malaga	0.0414741
Chastain	0.0413133
Duchesne	0.0411893
"Shannon MacMillan"	0.0411234
Casas	0.0411106
Zamorano	0.0410255
"Tom Presthus"	0.0410078
"white water"	0.0408846
Dandong	0.040867
Aegon	0.0407876
Yokohama	0.0407044
Vina	0.0405035
Titov	0.0404682
RV	0.0403909
Lianyungang	0.0403322
"Raul Diaz Arce"	0.0402989
"Atlantic Richfield Co."	0.0402305
))
(balcony (desc 31190.2) (sims
porch	0.179767
terrace	0.172758
veranda	0.149159
patio	0.144763
deck	0.135365
roof	0.12464
"front porch"	0.122225
window	0.114571
floor	0.113413
bedroom	0.111911
staircase	0.104042
courtyard	0.10286
fireplace	0.102285
"picture window"	0.101688
wall	0.100374
ceiling	0.0969299
lawn	0.096052
ledge	0.0949675
hallway	0.0940268
"dining room"	0.0933761
"living room"	0.0925621
mezzanine	0.0923603
atrium	0.0918826
rooftop	0.0892103
kitchen	0.0891245
doorway	0.0887271
room	0.0884498
door	0.085481
facade	0.0848123
sidewalk	0.0847764
railing	0.0845338
Stairway	0.0840132
stoop	0.0837513
bathroom	0.0825811
stair	0.0802784
"sitting room"	0.0801196
"back porch"	0.0795872
gallery	0.0794395
driveway	0.07906
chandelier	0.0776498
Tower	0.0776105
garage	0.0766746
"French door"	0.0761982
Grandstand	0.0760486
lobby	0.0755208
table	0.0755093
podium	0.075268
suite	0.0749298
WINDOWSILL	0.074091
bed	0.0733581
chimney	0.0730855
chair	0.0729543
walkway	0.0726061
foyer	0.0724402
elevator	0.0721437
"fire escape"	0.0720975
ballroom	0.0717946
bleachers	0.071323
skylight	0.0713123
entrance	0.0712068
"parking lot"	0.0707763
"conference room"	0.069449
stairwell	0.0691679
tub	0.0684509
entryway	0.0681091
garden	0.0680402
basement	0.0677938
alcove	0.0673919
square	0.0672088
"swimming pool"	0.0669441
street	0.0666171
fence	0.066524
bench	0.0664492
bathtub	0.066227
building	0.0660835
apartment	0.0660511
hall	0.0658382
plaza	0.0657744
"upper deck"	0.0657715
paneling	0.0653078
chapel	0.065277
Dome	0.0651815
seating	0.0651236
"dining area"	0.0648184
bar	0.0647904
furniture	0.0647081
toilet	0.0642922
desk	0.0641838
aisle	0.0640182
bridge	0.0639312
pew	0.0633445
eaves	0.0633048
fountain	0.0632065
sofa	0.0621521
tile	0.062144
shelf	0.0619456
mantelpiece	0.0619068
couch	0.0616988
molding	0.061398
cafe	0.0613585
altar	0.0609107
corridor	0.0608887
platform	0.0606453
woodwork	0.0606428
lounge	0.0603003
closet	0.0597865
seat	0.0595751
dais	0.0595172
loft	0.0594896
space	0.0593651
auditorium	0.0593086
chamber	0.0591611
"ground floor"	0.0590816
siding	0.0589757
"family room"	0.0589299
"first floor"	0.058785
beam	0.0582283
"stone wall"	0.0582164
cubicle	0.0581509
"front door"	0.0579845
"box seat"	0.0579199
gate	0.0578041
interior	0.0577615
hillside	0.0570781
arch	0.0569699
row	0.055908
corner	0.0558387
bath	0.0553831
cupola	0.0551061
steeple	0.0550554
box	0.0547999
storefront	0.0547079
"park bench"	0.0546074
dock	0.0545974
frame	0.0545019
archway	0.0542557
screen	0.0542378
"dance floor"	0.0541053
courtroom	0.0539609
pavilion	0.0539298
booth	0.0538646
lamppost	0.0537908
tree	0.0537258
turret	0.0533544
pulpit	0.0532189
parlor	0.0530095
pillar	0.0529292
beach	0.0528988
pool	0.0526959
ramp	0.0526524
perch	0.0526328
"folding chair"	0.0518013
hilltop	0.051571
cafeteria	0.0515679
stove	0.0515352
awning	0.0515197
mattress	0.0508291
"lawn chair"	0.0507301
cliff	0.0504429
carpet	0.0502922
stool	0.0502419
tent	0.0501955
rear	0.050177
vestibule	0.0499977
exterior	0.04984
escalator	0.0496763
shutter	0.0495699
bookshelf	0.049567
"waiting room"	0.0495331
overpass	0.0491936
rotunda	0.048944
mural	0.0488382
perimeter	0.0488184
cot	0.0487885
bus	0.0486809
mirror	0.0486114
girder	0.048559
restaurant	0.0485466
plumbing	0.0482174
cornice	0.0480849
furnishings	0.0480727
classroom	0.048053
yard	0.0478983
rostrum	0.047833
locker	0.0477973
"street corner"	0.0477919
penthouse	0.0475417
cabin	0.0474758
trailer	0.0472913
curtain	0.0472843
ladder	0.0472587
pedestal	0.0471574
"bell tower"	0.0470294
amphitheater	0.0468183
gymnasium	0.0463477
studio	0.0463033
Casket	0.046275
enclosure	0.046154
Hood	0.0460721
coffin	0.0460357
))
("bald eagle" (desc 6861.22) (sims
Pelican	0.153088
cormorant	0.145156
heron	0.138825
"peregrine falcon"	0.133694
egret	0.129168
tern	0.127452
"sea turtle"	0.121497
osprey	0.117014
"golden eagle"	0.116841
peregrine	0.11286
"mountain lion"	0.110535
"grizzly bear"	0.109738
eagle	0.105034
"sea lion"	0.104805
"black bear"	0.100176
ibis	0.100171
loon	0.0994805
woodpecker	0.0993918
owl	0.0978329
deer	0.0960201
geese	0.0956779
"mountain gorilla"	0.0913331
songbird	0.09053
"rare bird"	0.0897317
warbler	0.0890784
"giant panda"	0.08886
turtle	0.0878217
Orca	0.0858886
swan	0.08555
seabird	0.0854634
sparrow	0.0852004
"gray wolf"	0.0851942
"Bengal tiger"	0.0847238
"harbor seal"	0.0842298
otter	0.0834848
bird	0.0834628
Condor	0.0828616
"sea otter"	0.0816716
bluebird	0.0797069
pigeon	0.0793215
bobcat	0.0784167
"right whale"	0.0764922
wolf	0.0760327
manatee	0.0743075
rhino	0.0742198
seagull	0.0731034
orangutan	0.071874
alligator	0.0717171
beaver	0.0708656
gull	0.0703321
elk	0.0701036
raccoon	0.0683042
crocodile	0.0680586
"gray whale"	0.0675095
parrot	0.0662137
antelope	0.0661312
wildlife	0.0660707
Gibbon	0.0656639
humpback	0.0653633
sturgeon	0.0649834
specie	0.063659
Vulture	0.0636498
dove	0.0632394
rooster	0.0630596
quail	0.0626346
tiger	0.062404
"killer whale"	0.0622915
"bighorn sheep"	0.0622646
Crane	0.0620579
"coho salmon"	0.0618815
panda	0.0617029
lynx	0.061464
Bighorn	0.060964
hummingbird	0.0603183
monkey	0.0602508
trout	0.0597698
kangaroo	0.0591942
chimpanzee	0.0574499
leopard	0.0573229
elephant	0.0568317
"rainbow trout"	0.0565141
salamander	0.0562808
moose	0.0558246
peacock	0.0558203
"snow leopard"	0.0557264
"American plane"	0.0555214
butterfly	0.054588
gorilla	0.0543884
"wild boar"	0.0539898
Archaeopteryx	0.0534244
"sea gull"	0.0533666
whale	0.0525941
Partridge	0.0525244
"polar bear"	0.0523749
dolphin	0.0516809
rhinoceros	0.0509348
albatross	0.0503
snake	0.050255
toad	0.0500797
pheasant	0.0500129
"blue whale"	0.0497078
celeb	0.0494142
starling	0.0487495
"prairie dog"	0.0484538
cheetah	0.0472686
waterfowl	0.0472314
subspecies	0.0470307
mallard	0.046912
hatchlings	0.0468948
rabbit	0.0466785
WASP	0.0461661
vertebrate	0.0460587
hyena	0.045703
"humpback whale"	0.0456867
moth	0.0451106
Wetland	0.044268
coyote	0.044088
porpoise	0.0439215
penguin	0.0438635
daredevil	0.0438173
giraffe	0.0436541
ferret	0.0431417
caribou	0.0430194
VMs	0.0429119
deejays	0.0428823
salmon	0.0427969
stork	0.0422933
amphibian	0.0419424
squirrel	0.0419183
frog	0.0418168
mosquito	0.0414563
mink	0.0412724
mammal	0.0410652
"African elephant"	0.0406497
ape	0.0404016
Dinosaur	0.0403539
ladybug	0.0402877
))
(baldness (desc 2507.79) (sims
incontinence	0.200687
impotence	0.163348
acne	0.149004
hemophilia	0.128873
arthritis	0.12048
Osteoporosis	0.114585
migraine	0.114129
"tooth decay"	0.11204
"common cold"	0.110271
narcolepsy	0.107433
"hot flash"	0.105463
ulcer	0.10464
hypertension	0.103109
dysfunction	0.102468
diabetes	0.0966082
"high blood pressure"	0.096604
"lead poisoning"	0.0949562
allergy	0.0948642
asthma	0.0940573
insomnia	0.0938273
anemia	0.0936158
Obesity	0.0929736
infertility	0.0924413
glaucoma	0.0910662
"multiple sclerosis"	0.089179
"Parkinson's disease"	0.0874135
cholesterol	0.0873683
Parkinson's	0.0862201
"skin cancer"	0.085642
"rheumatoid arthritis"	0.0845262
"heart disease"	0.0837901
menopause	0.0797487
"cystic fibrosis"	0.0795889
angina	0.0784057
psoriasis	0.0778834
heartburn	0.0762477
ADHD	0.0751937
autism	0.0736783
myeloma	0.0732381
myopia	0.0731899
epilepsy	0.0715802
lifesaving	0.0707633
"respiratory disease"	0.0699524
"drug addiction"	0.0695956
dyslexia	0.069425
"cardiovascular disease"	0.0689766
blindness	0.0657171
atherosclerosis	0.0650694
"heroin addiction"	0.0642366
cataract	0.063623
osteoarthritis	0.063558
Alzheimer	0.0633984
"alternative medicine"	0.0627334
bronchitis	0.0624882
chiropractic	0.0621027
hangover	0.0618271
leukemia	0.0610532
syphilis	0.0607378
Alcoholism	0.060581
"back pain"	0.0605055
discoloration	0.060187
hepatitis	0.0598582
"muscular dystrophy"	0.0598569
herpes	0.0591469
schizophrenia	0.0579047
reflux	0.0568111
diarrhea	0.0566715
"skin disease"	0.0555916
rulebook	0.055444
anti-inflammatory	0.0549702
masturbation	0.0549115
"heart failure"	0.054864
weight-loss	0.0545892
pronoun	0.0544341
emphysema	0.0537137
malignancy	0.0536125
lupus	0.0533528
"lung cancer"	0.0531803
wart	0.0530256
"cerebral palsy"	0.0530001
influenza	0.0529711
"memory loss"	0.0528772
"hay fever"	0.0528464
dementia	0.0524276
leprosy	0.0520867
deafness	0.0519771
fertility	0.0515809
"mental disorder"	0.0514817
"pubic hair"	0.050853
"birth control"	0.0505678
lymphoma	0.05043
malady	0.050142
hyperactivity	0.0500427
nausea	0.0499379
boob	0.0497417
apnea	0.0495314
"congestive heart failure"	0.0491294
Chemo	0.048635
tuberculosis	0.0486289
prostate	0.0482603
acupuncture	0.0480433
"colon cancer"	0.0479155
dehydration	0.0477638
"alcohol abuse"	0.0477428
"blood pressure"	0.0476869
morbidity	0.0476484
nearsightedness	0.0474215
"La Nina"	0.0468035
Relenza	0.0466232
"heart condition"	0.0462476
"food poisoning"	0.045935
"neurological disorder"	0.0455112
"sex hormone"	0.0453196
pneumonia	0.045319
miscarriage	0.0452918
"prostate gland"	0.0452596
"sexually transmitted disease"	0.0447484
als	0.044278
near-monopoly	0.0441382
Contraception	0.0439092
inactivity	0.0436925
puberty	0.043525
Herceptin	0.0434437
Ritalin	0.0432945
"eye disease"	0.0431645
"water pollution"	0.0429065
"substance abuse"	0.042725
retardation	0.0426375
leptin	0.0424402
decompression	0.0424063
PIERCINGS	0.042243
shipmate	0.0420956
melanoma	0.0418423
impairment	0.0418273
gangrene	0.0417875
obsolescence	0.0411378
"neurological disease"	0.0408778
Claritin	0.0408598
corrosion	0.0405026
"liver disease"	0.0404634
Zyvox	0.0404419
inhalation	0.0404272
TCM	0.0403416
Propecia	0.0400856
delinquency	0.0400598
))
(Baldwin (desc 6999.67) (sims
Harnisch	0.137634
Mercker	0.137332
Bottenfield	0.126674
Nagy	0.125044
Radke	0.123353
Dempster	0.122155
Trachsel	0.121067
Pavano	0.115617
Reynoso	0.114772
Belcher	0.114261
Moehler	0.111929
Loaiza	0.111927
Sele	0.110283
Fassero	0.109216
Schourek	0.108912
Saberhagen	0.108314
Haynes	0.105898
Woodard	0.104749
Gooden	0.10438
Tapani	0.103817
Eldred	0.103753
Lieber	0.103504
Rapp	0.103229
Washburn	0.10305
Erickson	0.102883
Rusch	0.102549
Stottlemyre	0.102186
Bere	0.102097
Hermanson	0.10145
Hershiser	0.101261
Kile	0.101227
Mussina	0.10058
Mulholland	0.100252
Schmidt	0.100127
Hentgen	0.099819
Burba	0.099046
Bohanon	0.0990224
Millwood	0.0981522
Wakefield	0.0979959
Arrojo	0.0969735
Neagle	0.0965622
Stephenson	0.0961054
Moyer	0.0958446
Vazquez	0.0948594
Burkett	0.0941579
Etherton	0.0925442
Benes	0.0923881
Gagne	0.0917157
Ankiel	0.0915867
Steinway	0.0914695
Gardner	0.091029
estes	0.0906083
Meche	0.0890424
Yoshii	0.0886035
Mahomes	0.0882311
Halama	0.0870186
Zito	0.0868759
Glavine	0.0867583
Baird	0.0866355
Smoltz	0.0863743
Witt	0.0863194
Pettitte	0.0862909
Percival	0.0862743
Petkovsek	0.086112
Clement	0.0860547
Schilling	0.0849272
Rogers	0.0845539
Irabu	0.084435
Dickson	0.0832531
Dotel	0.0832066
Meadows	0.0828753
Ashby	0.0825662
Helling	0.082072
D'Amico	0.0819013
Olivares	0.0817291
Saunders	0.080367
Candiotti	0.0800563
Bergman	0.0799317
Dreifort	0.0799038
Nomo	0.0798069
Herges	0.0797935
Hendricks	0.0792605
Elarton	0.0788097
Cloude	0.0786681
Avery	0.0784282
Mlicki	0.0780257
Leiter	0.0779943
Rueter	0.0779236
Snyder	0.0777381
Finkel	0.0776482
McElroy	0.0771339
Parris	0.0766023
Navarro	0.0765809
Remlinger	0.0765127
Gillespie	0.0762514
Cramer	0.0762325
Maddux	0.0755087
Poole	0.0750991
Gallagher	0.0750868
Heredia	0.0749594
Castillo	0.0740184
Osuna	0.0738856
Tomko	0.0735518
Bradshaw	0.0734557
Mantei	0.0733423
Stein	0.0728308
Reynolds	0.072826
Schoeneweis	0.07278
Hasegawa	0.0725593
Valdes	0.0724952
Appier	0.0724608
Ayala	0.0719161
Talebi	0.0718712
Astacio	0.0717949
Garcia	0.0717568
Brister	0.0714906
Latham	0.070863
Thomson	0.070846
Ackerman	0.0705292
Hampton	0.0705068
Milton	0.0704096
Martinez	0.0697539
Pulsipher	0.0697286
Crabtree	0.0696701
Levine	0.0696155
Mendoza	0.0691973
Perisho	0.0691612
Myers	0.0690041
Leahy	0.0688498
Hoffman	0.0687421
Rojas	0.0686951
Daal	0.06818
Gomes	0.0679507
Hernandez	0.067746
Sparks	0.0676074
Wendell	0.0675365
Lowery	0.0675049
Haas	0.0674863
Checo	0.0671803
Ortiz	0.0670806
Powell	0.0670786
Myhrvold	0.0669969
"Eric Milton"	0.0669931
Cho	0.0668007
Zimmerman	0.0667981
Clayton	0.0665193
Oliver	0.0663116
Levin	0.0662725
Hirsch	0.0661132
Sheedy	0.0660701
Bowden	0.0660528
Cleary	0.0656657
D'Alessandro	0.0653914
Gullikson	0.0653194
Fernandez	0.0652898
Udall	0.0651428
Patterson	0.0651181
Cota	0.065058
BENSON	0.0650361
Finley	0.064977
"Scarlet Knights"	0.0649592
Benitez	0.0647431
Clemens	0.0644791
"Woody Williams"	0.0644752
Reyes	0.0644751
Wells	0.0644601
Kuehne	0.06425
McLaughlin	0.0642042
Koch	0.0640527
"Brian Moehler"	0.0640142
Grimsley	0.0640088
Hudek	0.063982
Sims	0.063828
"Russ Ortiz"	0.0635998
Bennett	0.0630613
Nicholson	0.0630588
Hawke	0.0630494
Huard	0.0630205
Brazile	0.0626885
Jaffe	0.0625576
Borbon	0.0625219
McDOWELL	0.0624268
"Jesus Sanchez"	0.0623844
Sullivan	0.0623844
Katzenberg	0.0623757
Sanchez	0.0623433
Arnold	0.061986
Boucher	0.0619485
Coen	0.0618709
pressman	0.061867
Grossman	0.0618553
Suppan	0.0617573
Gottlieb	0.0617505
Ritchie	0.061723
Fleischer	0.0614588
Watson	0.0613004
Welch	0.0611638
Nunez	0.0606564
Mehta	0.060598
POLK	0.0605613
))
(bale (desc 14424.8) (sims
tonne	0.155402
bpd	0.150326
"about @@@,@@@ tons"	0.123753
kg	0.12058
"about @.@ million tons"	0.104859
"over @@@,@@@ tons"	0.102436
ton	0.100418
"about @@@ tons"	0.0948901
sq.km	0.0915831
barrel	0.0890951
"one million tons"	0.0888236
"about @@,@@@ tons"	0.085942
ha	0.0850741
"four million tons"	0.0836305
dwt	0.0833244
"about @@ million tons"	0.0831577
"common shares"	0.0824614
sandbag	0.0810187
birr	0.0809144
kgs	0.0807352
ECUs	0.0802605
"about @,@@@ tons"	0.0802131
"three million tons"	0.0800103
"more than @@ million tons"	0.0793745
pataca	0.0793416
feddans	0.0793133
U.S.dollars	0.078508
sq.m	0.0783295
"over @@ million tons"	0.0776263
"more than @@@,@@@ tons"	0.0774382
"over @,@@@ tons"	0.0772209
"over @@,@@@ tons"	0.0766672
"about @@,@@@ acres"	0.0753739
spindle	0.0752363
shekel	0.0745841
kWh	0.0744546
ECU	0.0733914
"U.S. Dollars"	0.0731422
Mt	0.0710026
"about @@ billion dollars"	0.0705891
"six percent"	0.0705168
"eight percent"	0.0702547
cu.m	0.06979
kilometer	0.0689389
dollars-worth	0.0684357
Rai	0.0683782
mw	0.0676865
dinar	0.0672505
sapling	0.0672461
"more than @@,@@@ tons"	0.0671835
"motor vehicle"	0.0655387
"tv set"	0.0651449
"currency unit"	0.0645268
"Zimbabwe Dollars"	0.0645266
km	0.0645244
"Sri Lankans"	0.0641876
"passenger car"	0.0640778
pallet	0.0640688
"four tons"	0.06402
Mozambican	0.0632575
"four percent"	0.0630115
VND	0.0628355
"Iraqi POWs"	0.0625371
enrollee	0.0623339
ringgit	0.0621092
kilometre	0.0619876
"three tons"	0.061601
"seven percent"	0.0611082
"six million tons"	0.0605439
Eritrean	0.060541
container	0.0603105
euros	0.0602723
"five million tons"	0.05931
jute	0.0586108
VMs	0.058543
"one kilogram"	0.0585422
"more than @,@@@ tons"	0.0583212
"two percent"	0.0582567
hryvna	0.0582436
tablet	0.0580482
quantity	0.0579894
VCDs	0.0575634
"more than @@@ tons"	0.0575538
Kilogram	0.0575402
"three percent"	0.0574748
"nine percent"	0.0573221
wheat	0.0572603
"about @ percent"	0.0570241
bag	0.0568327
"about @@@ million dollars"	0.0563325
metical	0.0561789
"five percent"	0.0558929
"two million tons"	0.0557664
acre	0.055691
"Iranian POWs"	0.0553294
subscriber	0.0553144
USD	0.054929
"about @.@ percent"	0.0549062
Beijingers	0.0547971
"milk cow"	0.0547971
"more than @ million tons"	0.0543206
meticais	0.0542871
"Deutsche Mark"	0.0534263
"drug addict"	0.0527522
"two tons"	0.052598
"temporary worker"	0.052527
ruble	0.0524871
"washing machine"	0.0523013
"five tons"	0.0522613
"about @@ tons"	0.0521698
bundle	0.0520729
"more than @@@ million tons"	0.0519527
m.	0.0518016
Ethiopian	0.0514462
Sudanese	0.051148
"about @.@ billion dollars"	0.0510873
"about @@ million dollars"	0.0510174
"more than @@ tons"	0.0509151
elector	0.0508953
Nicaraguan	0.0507363
Salvadoran	0.0506785
seedling	0.050596
garment	0.0504252
"about $@@ billion"	0.0502572
condom	0.0501367
household	0.0500466
Angolan	0.0498318
maize	0.0495072
Burundian	0.0494705
"U. S.dollars"	0.0494142
sq	0.049389
"one ton"	0.049293
bushel	0.0491827
pilgrim	0.0490223
"one billion US dollars"	0.0487284
"more than @@@ pounds"	0.048579
migrant	0.0485056
output	0.0482417
packet	0.0480755
landmines	0.0480595
"one percent"	0.0478528
"million tons"	0.0477461
reais	0.0476911
"about $@@@ million"	0.0474209
hog	0.0473533
Ukrainians	0.047333
laid-offs	0.0471333
"live birth"	0.0468496
Cambodian	0.0465069
cotton	0.0462036
"one billion dollars"	0.0461781
wool	0.0461134
Filipino	0.0461059
hectare	0.045988
Vietnamese	0.045984
iMacs	0.0459137
pig	0.0457203
"season ticket"	0.0457029
Motorcycle	0.0456477
vial	0.0456106
kwanza	0.0453631
m	0.0453512
"ordinary shares"	0.0452791
brick	0.0450152
"about @@ million"	0.0448971
"About @,@@@"	0.0448824
grain	0.0448784
"about @.@ million"	0.0447167
inhabitant	0.0446494
"about @@@ million"	0.0446343
loaf	0.0445989
Koreans	0.0445399
KUNA	0.0444493
Armenians	0.0442941
dose	0.0442051
soybean	0.0441831
"more than @@@,@@@"	0.0440734
hay	0.0440494
"union member"	0.0439143
"over @"	0.0437494
"telephone set"	0.0436844
"more than @ billion dollars"	0.0435638
"about @@@,@@@"	0.0434881
policyholder	0.0431792
"telephone line"	0.0431513
"Tanzania Shillings"	0.0431348
sheep	0.0430442
Liberian	0.0428765
Somali	0.0428747
cattle	0.0428744
automobile	0.042743
Kenyan	0.042709
"card holder"	0.042625
"metric ton"	0.042586
reveler	0.0425579
conditioner	0.0424216
Ugandan	0.0421659
"nuclear warhead"	0.0420907
Afghan	0.0420273
reservist	0.0419735
))
(Bali (desc 9108.81) (sims
Sulawesi	0.169829
"West Java"	0.169821
"East Java"	0.166322
"Central Java"	0.14754
Surabaya	0.146009
Batam	0.142028
Yogyakarta	0.140173
Maluku	0.134185
Bandung	0.133229
Kalimantan	0.129189
"Irian Jaya"	0.125913
Medan	0.125351
Denpasar	0.122437
Phuket	0.12042
Sumatra	0.1201
Langkawi	0.113965
Jakarta	0.110243
Ambon	0.107437
Cebu	0.106909
Dili	0.10576
Windhoek	0.105222
Lampung	0.101276
Gaborone	0.100292
Bangkok	0.0995299
Vientiane	0.0986107
"Kuala Lumpur"	0.0979283
BUDAPEST	0.0959557
Borneo	0.0939479
Bogor	0.0918349
Okinawa	0.0903477
Aceh	0.0893207
Cartagena	0.0887792
Dushanbe	0.0886024
"CHIANG MAI"	0.0883202
Bengkulu	0.0873515
"Ho Chi Minh City"	0.0871879
Manila	0.0871407
LISBON	0.0863881
"Santo Domingo"	0.0863222
SEOUL	0.0853596
CANCUN	0.0851848
"East Kalimantan"	0.0843254
Krasnoyarsk	0.0840056
Tashkent	0.0838872
Maldives	0.0837775
"San Salvador"	0.0837378
Durban	0.0828572
Palawan	0.0828151
Java	0.0824312
el-Sheikh	0.0823678
Doha	0.0812719
Kandahar	0.0811828
Lome	0.0810975
MAPUTO	0.0802952
Algiers	0.0802814
"Hilton Head"	0.0799777
MANAMA	0.0795752
Pattaya	0.0795185
Lahore	0.0794701
Monrovia	0.0791272
DUBAI	0.0790626
Davos	0.0788702
Maseru	0.0787732
HANOI	0.0787093
"Cape Town"	0.0784567
"Egyptian capital"	0.077782
Osaka	0.0777557
Geneva	0.0776796
Riau	0.077329
Linz	0.0769547
Antalya	0.0767694
PALERMO	0.0765268
Vienna	0.0764451
KIEV	0.0760487
Mauritius	0.0759675
Havana	0.0759127
"East Nusa Tenggara"	0.0756798
BUCHAREST	0.0754524
CARACAS	0.0752621
Tripoli	0.0751917
Sakhalin	0.0751778
Hainan	0.0748356
Basle	0.0747414
Istanbul	0.074728
"Victoria Falls"	0.0747013
Bamako	0.0746736
Accra	0.0744791
Palembang	0.0744588
"Nigerian capital"	0.0742102
CAIRO	0.0741283
Barbados	0.0732965
"New Delhi"	0.0731293
Singapore	0.0729598
Karachi	0.072769
JOHANNESBURG	0.0726961
"Tel Aviv"	0.0726716
Aqaba	0.0720837
ZAGREB	0.0716275
Auckland	0.0714979
Jeddah	0.0713144
Prague	0.0709299
Brunei	0.0708747
"Phnom Penh"	0.070856
Frankfurt	0.0706297
Bishkek	0.0703158
Sipadan	0.0699135
Hobart	0.0698148
Zanzibar	0.0698105
Rabat	0.0694309
Helsinki	0.069398
Sydney	0.069306
COLOMBO	0.0692815
Crete	0.069224
Amman	0.0691449
"South Sulawesi"	0.069018
Kunming	0.0688483
Mombasa	0.0688027
Luxembourg	0.0687378
Zurich	0.068673
"San Juan"	0.0686651
SOFIA	0.0686025
Bamiyan	0.0685413
Eilat	0.0685203
Cochabamba	0.0684623
"Bandar Seri Begawan"	0.0683171
Fukuoka	0.0682926
Alexandria	0.068288
"United Arab Emirates"	0.0681693
Luanda	0.0680955
Calcutta	0.0680089
Minsk	0.0680011
Pretoria	0.067922
Perth	0.0675063
Muscat	0.0674381
Tokyo	0.0672446
Strasbourg	0.0672338
Conakry	0.067182
Riyadh	0.0670578
Philippines	0.0669048
WARSAW	0.0668825
BRUSSELS	0.0668299
Subic	0.0668252
Gaza	0.0667898
"Joko Suprianto"	0.0667602
TUNIS	0.066727
Libreville	0.0666764
Lausanne	0.0666047
Nagano	0.0665542
Salzburg	0.0664513
Santiago	0.0664177
Murmansk	0.0663318
"Mexico City"	0.0662911
"Surat Thani"	0.0662657
Arusha	0.0661828
Sulu	0.0661283
Asuncion	0.066094
ATHENS	0.0660265
Kigali	0.0660007
Jolo	0.0659759
Bahrain	0.0658011
Lucerne	0.0656878
Dublin	0.0656254
"Guatemala City"	0.0655714
Abidjan	0.0655451
Kyushu	0.0655314
Taipei	0.065197
Timor	0.0651368
Luzon	0.0650027
Malaysia	0.0646682
Malta	0.0645241
PYONGYANG	0.064505
Pusan	0.064472
"Addis Ababa"	0.0644636
Copenhagen	0.0644067
Midrand	0.0642941
"East Timor"	0.0640864
Berlin	0.0638541
Kathmandu	0.0638065
"La Paz"	0.0637899
"Papua New Guinea"	0.063665
Munich	0.0633477
"Buenos Aires"	0.0633422
"Banja Luka"	0.0633006
Mbabane	0.0632897
Florence	0.0632611
Seville	0.0632464
Libya	0.0629447
Dakar	0.0623191
Hongkong	0.062179
HARARE	0.062164
Sarajevo	0.0620001
"West Kalimantan"	0.0618771
Skopje	0.06187
"St. Petersburg"	0.0618604
"New Zealand"	0.0618158
Abuja	0.0614645
Khartoum	0.0614284
"Atlantic City"	0.061313
Kyoto	0.0612771
Jamaica	0.0611312
))
(balk (desc 3308.84) (sims
"wild pitch"	0.204595
"base hit"	0.136581
groundout	0.136272
"sacrifice fly"	0.114544
groundouts	0.109637
bunt	0.0941169
"ground ball"	0.0931681
"triple play"	0.0925835
"double play"	0.0895627
strikeout	0.0888422
"fly ball"	0.085574
grounder	0.0845848
"earned run"	0.0836804
batsman	0.0831102
forceout	0.0746641
batsmen	0.0684863
"four homers"	0.0659495
"unearned run"	0.0652522
infield	0.0637586
flyout	0.0608897
"grand slam"	0.0603374
tip-in	0.0578772
popup	0.0576985
two-out	0.0573805
"base runner"	0.0558674
"solo homer"	0.0532864
"two homers"	0.0526729
"Aaron Boone"	0.0512231
"Seth Etherton"	0.0506848
backhander	0.0506566
"Brian Cooper"	0.0498274
no-decision	0.0493639
"first pitcher"	0.0490711
SOS	0.048294
"screen pass"	0.048062
"change of direction"	0.0473047
singles	0.0471162
videophone	0.0467553
"line drive"	0.0467535
IDD	0.0465658
"theater ticket"	0.0455225
quorum	0.0444283
"Dave Burba"	0.0443948
pickoff	0.0440747
officiating	0.0437471
miscue	0.043466
putback	0.0433785
baserunners	0.0426016
ruckus	0.0425589
handball	0.0425381
"break of serve"	0.0425094
second-worst	0.0421132
"six homers"	0.0416608
TD	0.0412183
Geiger	0.0411328
blooper	0.0410925
fielder	0.0410397
"Bill Haselman"	0.0407669
pop-up	0.0407349
"Jarrod Washburn"	0.0407326
"Damion Easley"	0.040731
"market correction"	0.0407065
disqualification	0.0406755
no-no	0.0405757
convulsion	0.0405676
PAS	0.0402701
))
(Balkan (desc 9583.03) (sims
"South Asian"	0.169691
Mideast	0.120209
"East Asian"	0.117968
"Southeast Asian"	0.111906
"Central American"	0.108185
Balkans	0.107722
"Central Asian"	0.107582
Israeli-Palestinian	0.10497
Caucasus	0.104487
"Eastern European"	0.10239
Arab-Israeli	0.10192
"North African"	0.0976207
"Middle Eastern"	0.0946158
two-decade	0.0929928
"Latin American"	0.0914393
Israeli-Arab	0.0912728
Baltic	0.0873041
Kurdish	0.08544
Nagorno-Karabakh	0.0829395
Chechen	0.0822076
simmering	0.0819763
"Middle East"	0.0817383
Kargil	0.0817056
"West African"	0.0803107
Asia-Pacific	0.0779125
inter-Korean	0.0776019
"Persian Gulf"	0.0772213
long-running	0.076558
"Northern Irish"	0.0762143
INDIA-PAKISTAN	0.0755073
Zairian	0.0743754
BASQUE	0.0719875
Muslim-Croat	0.0718875
"South Asia"	0.0716829
"South American"	0.0715683
Abkhazian	0.0714606
"Near East"	0.0713852
"Pacific Rim"	0.0707586
"Great Lakes Region"	0.0705065
five-month	0.0704173
"tit for tat"	0.0701119
Caprivi	0.0696207
"East European"	0.0691241
Gulf	0.0690327
U.S.-Russian	0.068922
four-month	0.0676858
Stalinist	0.067003
"Kosovar Albanian"	0.0667324
"North Caucasus"	0.0666092
"Cold War"	0.0664176
eight-month	0.0663493
Korean	0.0661601
CHT	0.0659256
Ecuadorean	0.0653841
two-month	0.0652329
interagency	0.0650273
pan-Arab	0.0644923
"Northeast Asia"	0.064241
Asia-Europe	0.0640675
nine-month	0.0635697
DRC	0.0634917
"Far Eastern"	0.0625689
"U. N."	0.0620129
three-decade	0.0617394
"East African"	0.0617262
seven-month	0.0617071
eco	0.061703
secessionist	0.0614558
six-week	0.0605198
Arab	0.0602206
Bosnian	0.0598541
counterterrorism	0.0596454
post-Soviet	0.0595315
Aegean	0.0594019
Clinton-Lewinsky	0.059204
three-week	0.059151
ASEM	0.0588573
sub-regional	0.0588535
wartime	0.0587822
Armenian	0.058649
U.S.-Japan	0.0586183
"North American"	0.0586086
U.S.-China	0.0581345
Kosovar	0.0578879
"Western European"	0.0577916
Palestinian-Israeli	0.0576814
monthlong	0.0571185
"East Asia"	0.0568661
"oil market"	0.0561443
seesaw	0.0558643
five-week	0.0555753
"North Korean"	0.0555689
"North Africa"	0.0553503
Ulster	0.0551775
unfolding	0.0549374
Ci	0.0545978
high-stakes	0.0545956
two-week	0.0537046
Soviet	0.0536745
"Asia Pacific"	0.053527
cross-Straits	0.0529168
Solomons	0.052648
public-relations	0.0525221
three-month	0.0520934
"Baltic Sea"	0.0520218
weeklong	0.0518383
"Turkish Cypriot"	0.0518106
"Third World"	0.0516808
Berber	0.0515379
Abkhazia	0.0514174
Arctic	0.0513198
pan-African	0.0513172
Appalachian	0.0512092
Japan-U.S.	0.0511326
Congo	0.0511116
Behind-the-scenes	0.0508577
"Far East"	0.0506693
longterm	0.0503876
"Korean Peninsula"	0.0503815
"Caspian Sea"	0.0502604
Turkish	0.050202
"Central Asia"	0.0501258
"West Indian"	0.0501151
Russian-U.S.	0.0500268
Irish	0.04985
Mediterranean	0.0497638
Moldovan	0.0497133
Ivorian	0.0495437
Slavic	0.0494561
Azerbaijani	0.0494517
Tajik	0.0493257
Comoros	0.0492038
Catalonia	0.0488574
OIC	0.0487328
Latvian	0.0485881
on-and-off	0.0484893
Kashmir	0.0484792
IGAD	0.0481006
Kilimanjaro	0.0480408
six-month	0.0479965
Oedipal	0.0479744
Khmer	0.0477951
eight-year	0.0477692
SADC	0.0477411
north-south	0.0474135
forgotten	0.0473987
"real life"	0.0467803
Sino-Russian	0.0465113
"Central Africa"	0.0464551
Montenegrin	0.0464448
lastest	0.0463957
backroom	0.0463507
GCC	0.0460177
Icelandic	0.0459715
Bougainville	0.0458382
"Orthodox Jewish"	0.045815
inter-Arab	0.0457814
Franco-German	0.0456978
resolving	0.0453525
Bosnia-Herzegovina	0.0452584
"Damascus Declaration"	0.0452548
Mindanao	0.0451436
Ukrainian	0.0449616
WEU	0.044917
Ingush	0.0448056
"arms control"	0.0446814
SAARC	0.0445587
Tibetan	0.0445504
Eastern	0.0445047
federalism	0.0444119
"Sierra Leonean"	0.0442018
Burundi	0.044191
gangland	0.0438997
Caribbean	0.0437978
seven-year	0.0437804
famine	0.0437674
Ukranian	0.0434295
"Year @@@@"	0.0433502
"Eastern Europe"	0.0431732
Sino-Japanese	0.0431692
Turkmen	0.0430441
pan-European	0.0430225
Mekong	0.042735
"Southeast Asia"	0.0426679
Greek	0.0424267
east-west	0.0424008
"Bosnian Croat"	0.0423235
three-year	0.0422815
"currency market"	0.0420122
defining	0.0419369
Azeri	0.0419043
nuts-and-bolts	0.0417775
nine-year	0.0416903
four-year	0.0415495
"Asia-Pacific Region"	0.0415255
"Western Sahara"	0.0414362
E.U	0.0412637
"melting pot"	0.0412508
Slovak	0.0412323
Timor	0.0412099
))
("Balkan country" (desc 10790.8) (sims
"Balkan nation"	0.198683
"Federal Republic"	0.164875
"Asian nation"	0.160193
"Balkan state"	0.153666
"African country"	0.152727
"Asian country"	0.152216
"Central American country"	0.144955
"African nation"	0.143933
"South American country"	0.132827
Bosnia-Herzegovina	0.130157
Albania	0.128272
Republic	0.117987
"European country"	0.115697
"South American nation"	0.112191
Yugoslavia	0.10974
"European nation"	0.108139
Cambodia	0.107699
"member country"	0.107426
Balkans	0.106695
Macedonia	0.106098
Serbia	0.103134
Sudan	0.102308
Burundi	0.0981066
Bosnia	0.0974077
"East Asia"	0.0964959
Kingdom	0.0944142
Mozambique	0.093776
DRC	0.0936747
Angola	0.0935448
"Gulf Cooperation Council"	0.0929771
"Sierra Leone"	0.0928106
Haiti	0.0927793
"Association of Southeast Asian Nations"	0.0923858
"Commonwealth of Independent States"	0.0900168
Zaire	0.08976
"member nation"	0.0886347
"Democratic Republic"	0.0880412
Bangladesh	0.0880197
"Democratic Republic of Congo"	0.087652
DPRK	0.0871291
Somalia	0.0871056
"East Timor"	0.0866733
Lebanon	0.0859403
Montenegro	0.0855823
"Democratic Republic of the Congo"	0.0852187
"Central American nation"	0.0848062
"Rio Group"	0.0845486
Tajikistan	0.0843718
Indonesia	0.0841636
Belarus	0.083013
Kyrgyzstan	0.0828955
Afghanistan	0.0826745
Ukraine	0.0825933
Africa	0.0823101
Armenia	0.0822039
Moldova	0.0820006
Ethiopia	0.0818631
Algeria	0.0816974
"Group of Eight"	0.0815936
"Yugoslav Republic"	0.0811522
Pakistan	0.0811106
Laos	0.0802841
Cyprus	0.0800563
Zambia	0.0800243
Zimbabwe	0.0792558
Bulgaria	0.0790319
Uganda	0.0786484
"Middle East"	0.0779034
Egypt	0.0774189
Iran	0.0773381
Liberia	0.0771559
Turkey	0.0769751
"Central America"	0.0764528
Nigeria	0.0762683
"Central African Republic"	0.0760764
"South Asian Association for Regional Cooperation"	0.0756158
Rwanda	0.0753439
Mongolia	0.0749854
continent	0.0742219
Peru	0.0741314
Romania	0.0741085
Congo	0.0735516
Tanzania	0.0733966
Hungary	0.0732101
Croatia	0.0730965
"Latin America"	0.0730538
Kuwait	0.0726229
"Democratic People's Republic of Korea"	0.0717884
Myanmar	0.0715222
Asia	0.0715093
ASEAN	0.0713069
Chechnya	0.0711287
Kazakhstan	0.0709339
Poland	0.0709084
Lesotho	0.0708079
Thailand	0.0705428
"South Africa"	0.0704291
Asian	0.0701577
"Southeast Asia"	0.0699071
Colombia	0.0696279
"Papua New Guinea"	0.0694978
Yemen	0.0692485
"Republika Srpska"	0.0692022
Azerbaijan	0.0691267
Mindanao	0.0686275
Comoros	0.0686017
Uzbekistan	0.0685307
African	0.0680829
"Republic of Korea"	0.0680609
Nicaragua	0.0680346
Nepal	0.0680075
Chiapas	0.0677919
Guinea-Bissau	0.0674914
Slovenia	0.0673722
Kenya	0.0668259
Abkhazia	0.0665134
"South Asia"	0.0664931
"Southern African Development Community"	0.0656843
Tunisia	0.0652553
Philippines	0.0651723
"Sri Lanka"	0.0647875
Lithuania	0.0645061
Latvia	0.064427
"Saudi Arabia"	0.0642898
"Group of Seven"	0.0642762
"Guinea Bissau"	0.0641955
Panama	0.0640911
Namibia	0.0638073
"Russian Federation"	0.063519
Ecuador	0.0632226
WEU	0.063177
"major power"	0.0630157
Fiji	0.063013
Niger	0.062556
Vietnam	0.0625216
ROK	0.06229
Bolivia	0.0622713
Maluku	0.0619177
"Yugoslav Federation"	0.0617221
Yunnan	0.0616775
"North Korea"	0.061655
Brunei	0.0614466
"U.N. agencies"	0.061436
Taiwan	0.0613673
Bahrain	0.0612592
Malaysia	0.0611997
Libya	0.0611707
Macao	0.0602728
Tibet	0.0598896
Eritrea	0.0597506
"Latin American"	0.0596357
"Northeast Asia"	0.0595201
"Eastern Europe"	0.0595182
"Northern Ireland"	0.0594753
Singapore	0.0594263
Honduras	0.0593984
"Scandinavian country"	0.059072
Cuba	0.0588683
Switzerland	0.058856
"South Korea"	0.0588135
"Bosnian Serbs"	0.0587773
Estonia	0.0587145
Guatemala	0.0582396
Ci	0.0582115
Austria	0.0581169
Greece	0.057848
Mogadishu	0.0577245
"Group of Rio"	0.0575855
Turkmenistan	0.0571602
"North Atlantic Treaty Organization"	0.057018
"rural area"	0.0568269
Caucasus	0.0564905
Venezuela	0.0564628
"South Vietnam"	0.0563727
"Western Europe"	0.0563234
colony	0.0563028
Syria	0.0562977
"disaster area"	0.0562537
"military installation"	0.0562489
SADC	0.0562384
"Persian Gulf"	0.0561142
Chile	0.0560788
Rhodesia	0.0559492
"South Lebanon"	0.0558374
locality	0.0557621
needy	0.0557049
"Organization for Security and Cooperation in Europe"	0.0556662
"North Caucasus"	0.0556529
"Central American"	0.0555893
Dagestan	0.0553095
Baghdad	0.0552514
Tehran	0.0551795
"Southern Common Market"	0.054811
Slovakia	0.0547782
homeland	0.0547062
Argentina	0.0546526
Koreas	0.0545387
BELGRADE	0.0544008
Somali	0.0543918
"El Salvador"	0.0542976
))
("Balkan nation" (desc 4353.06) (sims
"Balkan country"	0.198683
"Balkan state"	0.156948
"South American nation"	0.1324
"African nation"	0.125975
"Central American country"	0.113075
"South American country"	0.103695
"Asian nation"	0.103592
Albania	0.100743
Bosnia-Herzegovina	0.0912401
Cambodia	0.0904249
Lesotho	0.0899654
"Asian country"	0.0840541
"Central American nation"	0.0831487
"African country"	0.082432
Algeria	0.0819713
Kingdom	0.0765522
"European nation"	0.0750668
Caucasus	0.0733947
"Federal Republic"	0.073277
Solomons	0.0731792
"Democratic Republic of Congo"	0.0728576
Haiti	0.0727395
Armenia	0.0726018
"Group of Rio"	0.0723132
Burundi	0.0712623
"Great Lakes Region"	0.071193
Liberia	0.0696499
Comoros	0.0691546
"Democratic Republic of the Congo"	0.0691181
Kyrgyzstan	0.0678624
DRC	0.0678529
Zaire	0.0668129
"Yugoslav Republic"	0.0663577
"Democratic Republic"	0.0662721
"Group of Eight"	0.0661706
Montenegro	0.0656832
"European country"	0.0652828
Somalia	0.0648003
"city state"	0.064323
"Central African Republic"	0.0634875
Timor	0.0625438
Macedonia	0.0617524
Balkans	0.0613554
Guinea-Bissau	0.0610897
"El Salvador"	0.060747
Tajikistan	0.0600971
"Kwazulu/Natal Province"	0.0599808
Fiji	0.0597938
"member nation"	0.0597301
Nicaragua	0.059543
"Guinea Bissau"	0.0590399
Namibia	0.059003
Bulgaria	0.058263
Ecuador	0.0581721
Mindanao	0.057885
"South Pacific Forum"	0.0578737
Abkhazia	0.0577506
Mozambique	0.057575
Crimea	0.0574961
Sultanate	0.0572971
Ambon	0.0570974
"Papua New Guinea"	0.0568961
Dutchmen	0.0568062
Belize	0.0566188
"Chittagong Hill Tracts"	0.0560064
"Economic Community"	0.0559718
"major-league team"	0.0557864
"South Asian Association for Regional Cooperation"	0.0548731
"Ivory Coast"	0.0545041
"Solomon Islands"	0.0543956
"North Caucasus"	0.0539598
"Bosnian Serbs"	0.0539099
Guyana	0.0535812
KwaZulu/Natal	0.0530884
"Commonwealth of Independent States"	0.0525943
Ghana	0.0523503
Maluku	0.0522377
Slovenia	0.0522111
Yemen	0.0510021
"South Vietnam"	0.0508682
governorates	0.050851
"Crown Heights"	0.0507771
"Central America"	0.0505884
"Group of Seven"	0.0505478
Bahrain	0.050536
subcontinent	0.050155
Panama	0.0497643
Paraguay	0.0495026
Niger	0.0494829
"Republika Srpska"	0.0492972
Brazzaville	0.0490898
principality	0.0488108
Cameroun	0.0486671
Moldova	0.0486502
Guatemala	0.048455
Swaziland	0.0483315
Eritrea	0.0482651
G-@	0.0481763
Uzbekistan	0.0480033
Mali	0.0479931
"Rio Group"	0.0478342
Zanzibar	0.0476729
PNG	0.0476478
"Kigoma Region"	0.0476435
"Persian Gulf"	0.047498
"Albanian capital"	0.047449
Chiapas	0.0473572
Azerbaijan	0.0471883
Slovakia	0.0470618
"Economic Community of West African States"	0.0468396
"Gulf Cooperation Council"	0.046824
Aceh	0.045794
Lithuania	0.0457629
"Serbian Republic"	0.045667
Grenada	0.0454082
"work group"	0.0453728
"Organization of Islamic Conference"	0.0453374
sherpas	0.0449673
"Korean Peninsula"	0.0447175
Palestine	0.0446995
Mongolia	0.0446629
"Republic of Congo"	0.0445227
"Association of Southeast Asian Nations"	0.0443165
postseasons	0.044157
"Serb Republic"	0.0440903
"Dominican Republic"	0.0440237
"Sinai Peninsula"	0.0440129
"oil market"	0.0440074
"Russian capital"	0.0439102
Senegal	0.0437833
Togo	0.0437697
Tunisia	0.0432908
Bolivia	0.0430052
Gabon	0.0429313
Latvia	0.0429198
Mideast	0.0428376
Laos	0.0428199
emirate	0.0426954
"Meretz Party"	0.042663
Burma	0.0424253
"Contact Group"	0.0422867
"South Lebanon"	0.0421954
Mitrovica	0.0421407
Estonia	0.0421389
Somali	0.042097
Luxembourg	0.0418553
"Economic Cooperation Organization"	0.0417179
locality	0.0415127
neighbour	0.0414928
Oman	0.0414832
"major power"	0.0414419
"New Party"	0.0414386
"Canadian province"	0.04143
Karachi	0.0411899
"Central American"	0.0411865
contras	0.0411777
"East Asia"	0.0411602
"coal industry"	0.0410946
Quebec	0.0409539
"oil producer"	0.040892
"Central Mindanao"	0.0406858
"Liberal Democrats"	0.0406788
Polgar	0.0406784
great-grandchildren	0.0406596
"Long-Term Credit Bank"	0.040452
"KwaZulu-Natal Province"	0.0402343
Slav	0.040176
))
("Balkan state" (desc 2683.69) (sims
"Balkan nation"	0.156948
"Balkan country"	0.153666
Bosnia-Herzegovina	0.103303
"Serbian Republic"	0.0962586
"Central American country"	0.0834355
Maluku	0.0797377
"Asian nation"	0.0769764
"South Lebanon"	0.0761704
"South American country"	0.0733383
"African nation"	0.071456
Lesotho	0.0710954
Montenegro	0.0696888
Balkans	0.0692682
Kingdom	0.0692228
"Democratic Republic of Congo"	0.0689571
"Yugoslav Republic"	0.0683286
DRC	0.0682858
"Central American nation"	0.0681106
Zaire	0.0680399
Armenia	0.0680318
Herzegovina	0.0676471
"Liberian capital"	0.0672052
"European nation"	0.0668785
Solomons	0.0665483
"Republic of Ireland"	0.0664122
Haiti	0.0658669
"Federal Republic"	0.0634433
"Special Economic Zones"	0.0632803
Kyrgyzstan	0.0631191
"Persian Gulf"	0.0629161
"Democratic Republic"	0.0629097
"Democratic Republic of the Congo"	0.0624816
"Guinea Bissau"	0.061958
"Great Lakes Region"	0.0615969
subcontinent	0.0613604
"Republika Srpska"	0.0612355
Brazzaville	0.0612333
"Serb Republic"	0.0595196
Liberia	0.0592831
"work group"	0.0577084
Timor	0.0576828
"North Caucasus"	0.056872
"Korean Peninsula"	0.0568482
Macedonian	0.0567873
Abkhazia	0.0563608
Bangui	0.0554112
"Central African Republic"	0.0541869
"Central Mindanao"	0.0539765
major-leaguers	0.0537052
QBs	0.0529795
"South American nation"	0.0529531
Mideast	0.052924
Caucasus	0.0528107
Ambon	0.0528083
"South Vietnam"	0.0527871
"North Maluku"	0.0526053
"Bosnian Serb Republic"	0.0523887
Slovenia	0.0523562
Moldova	0.0523249
"Bosnian Croats"	0.0522693
"Ryder Cups"	0.0518643
porthole	0.0516564
"equity market"	0.0515497
Comoros	0.0514517
"Baby Bells"	0.0510959
"D.R Congo"	0.0508252
"South Asia"	0.0507981
Atambua	0.0503568
"Central Africa"	0.0503134
Estonia	0.0499745
Nagorno-Karabakh	0.0499032
"Republic of Congo"	0.049891
"Indian capital"	0.0498675
Tajikistan	0.0498328
SEZs	0.0496195
"Prime Ministers"	0.0495024
Bakassi	0.0493601
Aegean	0.0493119
"foreign exchange market"	0.0491987
SMIs	0.0484405
vote-getters	0.0484383
"New York Republicans"	0.0482372
ex-convicts	0.0480613
no-decisions	0.047907
Zanzibar	0.0478645
"marine animal"	0.0478351
governorates	0.0478308
"Congo Republic"	0.0477718
"Free Democratic Party"	0.0477139
crewmembers	0.0475475
Mitrovica	0.0473227
Ulster	0.0472282
"Western Sahara"	0.0472165
"major-league team"	0.046925
Jammu	0.0467655
Opens	0.0464456
"Kwazulu/Natal Province"	0.0463873
Monrovia	0.0457651
Asian-Americans	0.0456891
"boxing ring"	0.0456197
bogy	0.0456029
Lithuania	0.0455573
"U.N. agencies"	0.0453916
prong	0.0452828
"Cy Young Awards"	0.0452747
"target area"	0.0452575
"Bosnian Serbs"	0.0452062
Mindanao	0.0447804
Macau	0.0447404
Guinea-Bissau	0.0446901
Cs	0.0445169
"Northeast Asia"	0.0444936
Niger	0.0444414
near-misses	0.0443112
KwaZulu/Natal	0.0441577
Kisangani	0.0440792
"Solomon Islands"	0.0440136
"Ivory Coast"	0.0438134
"U.N. High Commissioner for Refugees"	0.0436009
"Adriatic Sea"	0.0435365
"Congressional Black Caucus"	0.0435001
"parcel of land"	0.042872
"Northern Province"	0.0428302
"World Cups"	0.0426227
Guinean	0.0425853
frontrunners	0.0424776
"Organization of Islamic Conference"	0.0424739
macro-economy	0.0424234
Sultanate	0.042359
Rafah	0.0423581
"Taiwan Straits"	0.042358
"No. @s"	0.0423097
emirate	0.0422109
Latvia	0.0422055
carmakers	0.0421826
deuce	0.041706
"Scandinavian country"	0.0416723
Swaziland	0.0416195
passersby	0.0415197
"body of water"	0.0414977
firsts	0.0412126
Karachi	0.0411874
"U.S. Opens"	0.0410903
"West Timor"	0.040958
earpiece	0.0408995
"Central Asia"	0.0406254
Chiapas	0.0406144
"Uttar Pradesh"	0.040602
great-grandchildren	0.0405186
Gunmakers	0.0404854
"lending institution"	0.0404685
Yemeni	0.0404397
"office block"	0.0401849
))
("Balkan Wars" (desc 1024.54) (sims
postseasons	0.102591
"last half"	0.095459
finds	0.0882585
"dark ages"	0.0844227
"Ryder Cups"	0.0815395
"first third"	0.0762428
subjugation	0.0757439
three-pointers	0.0746672
"Arab-Israeli War"	0.0743288
"bear market"	0.0732511
hyperinflation	0.0729829
seasons.	0.0658093
refusals	0.0647127
spacewalks	0.0631461
"first five years"	0.0626482
accretion	0.0620112
"British Opens"	0.0618947
runnings	0.0611595
Dutchmen	0.0607486
years.	0.0607379
zodiac	0.0603845
"World Cups"	0.0600016
"space walk"	0.0590915
"U.S. Opens"	0.0586855
"takeover battle"	0.0581708
Opens	0.0580654
"first years"	0.0580428
"Pro Bowls"	0.0565838
"first decade"	0.05553
"trading session"	0.0555094
starts.	0.0551558
fora	0.0543672
trimester	0.0542378
"drug trade"	0.0541304
"target area"	0.0538087
games.	0.0535296
retrospectives	0.0534132
privatizations	0.0534012
Chemo	0.0529339
mega-mergers	0.0524872
"Long March"	0.0517787
cantata	0.0517197
"major league season"	0.0515316
no-decisions	0.0512384
"dust bowl"	0.0510734
coverup	0.0510704
QBs	0.0509108
"Almost three-quarters"	0.0505967
"interest rate increase"	0.049444
"break of serve"	0.049415
"time scale"	0.0491
"executive agency"	0.0489455
Pillars	0.0487543
"the good old days"	0.0485091
"racial segregation"	0.0484165
"Prime Ministers"	0.0480667
"pitched battle"	0.0480514
yea	0.047743
"Final Fours"	0.0476648
"business cycle"	0.047351
metropolises	0.0472388
"Cy Young Awards"	0.0471067
friendlies	0.0469747
misreading	0.0468335
"eighth year"	0.0468232
"second and third quarters"	0.0468202
co-chairs	0.0466968
"life cycle"	0.046661
"news event"	0.046451
tumult	0.0462433
dawning	0.0455465
"educational activity"	0.0454926
oppressor	0.0454108
"Korean War"	0.0453449
"Revolutionary War"	0.045059
demonization	0.0447314
MiGs	0.0446795
"slave trade"	0.0445417
Indochina	0.0443267
"calendar year"	0.0442711
"First @ Months"	0.0439348
mishandling	0.0438966
gunbattles	0.0437014
vicissitude	0.043388
"legal proceeding"	0.0433743
miscarriage	0.0431731
"service break"	0.0430337
"Act @"	0.042867
minicamps	0.0427925
flogging	0.0427185
misjudgments	0.0427091
"drug case"	0.0425812
year.	0.0425072
ninety	0.042444
"bankruptcy proceeding"	0.0423091
iteration	0.0422297
"first eleven months"	0.042204
pogrom	0.0420851
transnationals	0.0419612
"Great War"	0.0418809
multi	0.0418225
"embryonic cell"	0.0418218
faceoffs	0.041607
"Iran-Iraq War"	0.0415658
"class struggle"	0.0413778
"leveraged buyout"	0.0413219
"fatal accident"	0.0410147
"gold rush"	0.0408303
carjackings	0.0406613
Bedlam	0.0406591
"morality play"	0.0406056
behinds	0.040257
innings.	0.0401822
decimation	0.0400841
realignments	0.0400029
))
(Balkanization (desc 876.202) (sims
destabilization	0.110747
splitting	0.0981833
unraveling	0.0937272
marginalization	0.0928224
decolonization	0.0925773
"lingua franca"	0.0873442
toppling	0.0803082
hardening	0.0795716
maturing	0.0786587
mingling	0.0777562
blossoming	0.07704
politicization	0.0768863
inflexibility	0.0759056
pillaging	0.0750103
de-escalation	0.0735043
mushrooming	0.0734462
flowering	0.0721334
dispersion	0.0711522
"Prudential Insurance Co."	0.0696344
rollovers	0.0681129
policing	0.0678272
"practical application"	0.0675418
liberalisation	0.0675085
wastage	0.0674729
wickedness	0.0662916
disintegration	0.0657169
aggregation	0.0656948
fragmentation	0.0651533
penetration	0.0649054
foul-up	0.0647546
squandering	0.0646936
vibrancy	0.0644997
democratization	0.0638208
criminalization	0.0636278
"first tour"	0.0629591
"Joko Suprianto"	0.0621552
microcosm	0.0619355
felling	0.0619252
shortsightedness	0.0618923
softening	0.0618661
melding	0.0614392
dismemberment	0.0611385
cataclysm	0.060631
linking	0.0605572
"United Steelworkers"	0.060444
decimation	0.0601206
retooling	0.0597159
"Susanthika Jayasinghe"	0.0596855
weaponization	0.0596628
pasteurization	0.0595899
"Central Province"	0.0595077
spillage	0.0595017
underdevelopment	0.0593668
splintering	0.0590542
subset	0.0590258
pervasiveness	0.0589186
"Southern Province"	0.058862
slipup	0.0586696
vastness	0.058412
Burnout	0.0583265
foretaste	0.058287
polarization	0.0582717
"Consumer Federation"	0.0581529
merging	0.0579815
Americanization	0.0576007
rigidity	0.0575008
evidences	0.05736
rejuvenation	0.0568125
portent	0.0563361
"bank withdrawal"	0.0562067
militarization	0.0561884
amalgamation	0.0561875
"exact opposite"	0.0561472
"Eastern Province"	0.0561127
"Parker Bowles"	0.0560113
"sum total"	0.0558814
colonization	0.0557132
divisiveness	0.055557
peculiarity	0.0553045
"roughly two-thirds"	0.0551369
"cross section"	0.0550189
shallowness	0.0549371
retrenchment	0.0548183
melting	0.0547614
loosening	0.0547409
TINDERBOX	0.0542864
slackening	0.0540113
shedding	0.0536019
seepage	0.0535998
potentiality	0.0534821
backwardness	0.0534646
lessening	0.0533633
certitude	0.0533193
interactivity	0.0529584
effervescence	0.0527156
"unfinished business"	0.0526005
diminution	0.0524961
reshuffling	0.0524073
incompatibility	0.0523248
realignments	0.0520322
condensation	0.0520164
shakeout	0.0518187
aggravation	0.0517386
closedown	0.0516879
gangrene	0.0515104
pogrom	0.051334
"nook and cranny"	0.0512865
stepchild	0.05128
caprice	0.051039
clear-cutting	0.0508499
"hair follicle"	0.0507048
snafu	0.050695
laundering	0.0500726
dilution	0.0499947
"three centuries"	0.0499188
arbitrariness	0.0499123
implantation	0.0498729
categorization	0.0496297
"interest rate increase"	0.0495743
"field trial"	0.0494918
susceptibility	0.0492606
renaming	0.0492132
reformation	0.0491973
exigency	0.0491835
myopia	0.0491366
self-awareness	0.0490847
flareup	0.0488654
deceleration	0.0488637
desegregation	0.0487624
constriction	0.0487255
blurring	0.048719
foot-dragging	0.048672
reintegration	0.0486097
downgrading	0.0485796
shrinkage	0.0485216
downslide	0.0482808
one-seventh	0.0482787
whether	0.0481517
negation	0.0478909
"public exposure"	0.0478477
"about one-quarter"	0.0478314
free-fall	0.0476881
readmission	0.0476034
kaleidoscope	0.0475584
"blood cell"	0.0474257
centralization	0.0472675
"melting pot"	0.0471078
quintessence	0.0470771
piggy	0.0470171
processional	0.0469911
tranquillity	0.0467956
"Free Trade Area"	0.0466925
accretion	0.0466023
degeneration	0.0465602
groundswell	0.0465492
Intimidator	0.0464881
inundation	0.0464319
nettle	0.0463436
winnowing	0.0461179
blending	0.046081
declassification	0.0460588
"engine room"	0.0460443
Intensification	0.0460227
"treasure house"	0.0459986
institutionalization	0.0459184
internationalization	0.0458571
"about three-fourths"	0.0457678
impoverishment	0.0457426
"bank failure"	0.0456565
colonizer	0.0454489
stalling	0.0453531
verity	0.045323
preserver	0.0452086
pumping	0.045116
"natural ability"	0.0445368
abolishment	0.044363
fabricator	0.0440744
zeitgeist	0.0440682
sloppiness	0.04406
socialization	0.0439784
Sim	0.0439776
perpetuation	0.0439187
subsidence	0.043848
reentry	0.0437805
deadend	0.0435794
fermentation	0.0435709
conflagration	0.0435194
reorientation	0.0434969
redefinition	0.0434766
dropoff	0.0434549
"chief of state"	0.043388
"ball of fire"	0.0433819
gentrification	0.043357
unionization	0.0432444
inferiority	0.043133
rip-off	0.0430799
paring	0.0430542
cohesiveness	0.0429419
"good sense"	0.0429365
"core group"	0.0429335
))
(Balkans (desc 54111) (sims
Bosnia	0.185993
Kosovo	0.18397
"Middle East"	0.181611
Yugoslavia	0.151112
Caucasus	0.146598
"East Timor"	0.139985
"Sierra Leone"	0.131189
Africa	0.130801
Chechnya	0.12903
Europe	0.126933
"Persian Gulf"	0.126259
Afghanistan	0.126035
Albania	0.12558
Congo	0.12545
Somalia	0.123672
region	0.122457
DRC	0.120578
"South Asia"	0.119992
"Central Asia"	0.115584
Asia	0.114105
Zaire	0.112242
"Latin America"	0.112034
Liberia	0.111723
Macedonia	0.110748
Bosnia-Herzegovina	0.109569
"Southeast Asia"	0.108117
Balkan	0.107722
Burundi	0.106714
"Balkan country"	0.106695
Gulf	0.106426
Mideast	0.10542
Angola	0.104906
"East Asia"	0.103601
"Eastern Europe"	0.103537
Lebanon	0.103536
Cyprus	0.103071
Haiti	0.101122
"Central America"	0.100383
"Northern Ireland"	0.0992832
Iraq	0.0986813
"Democratic Republic of the Congo"	0.0970581
Sudan	0.0951251
Serbia	0.0944757
"North Caucasus"	0.0943966
Kashmir	0.0938984
Rwanda	0.0931014
Republic	0.0928325
Mindanao	0.0927508
"North Africa"	0.0917842
"African country"	0.0907628
Mediterranean	0.0905022
Cambodia	0.0885262
"African nation"	0.0875009
continent	0.0869998
Korea	0.0859
"West Africa"	0.0858134
country	0.0852713
Russia	0.0851218
Tajikistan	0.0848019
Colombia	0.0833819
"Western Europe"	0.0832888
subcontinent	0.0825742
"Democratic Republic of Congo"	0.081406
province	0.0813534
"Great Lakes Region"	0.081315
Algeria	0.0812525
"South America"	0.0812227
"Far East"	0.0809756
"Korean Peninsula"	0.0798205
Chiapas	0.0786356
Turkey	0.0776065
Vietnam	0.0775533
Montenegro	0.0773578
"Central Africa"	0.0773279
"Asian nation"	0.0761041
"Democratic Republic"	0.0751596
"Soviet Union"	0.0739831
Dagestan	0.0735
Abkhazia	0.0729848
Indonesia	0.0722006
BELGRADE	0.0721854
Aceh	0.0719919
Asia-Pacific	0.0715791
sub-region	0.0711931
China	0.0707696
"North Korea"	0.0705206
Caribbean	0.0699835
territory	0.0699628
Kuwait	0.0693826
"Balkan state"	0.0692682
Tibet	0.0691151
Sarajevo	0.069053
Croatia	0.0690426
Iran	0.068414
"North America"	0.067733
Moscow	0.0676284
Comoros	0.0675671
"West Bank"	0.0668755
"United States"	0.0666988
conflict	0.0666508
pacific	0.0665418
countryside	0.0660883
Palestine	0.0659957
Mexico	0.0658337
Nigeria	0.0654333
America	0.0654146
"Asian country"	0.0653588
Guinea-Bissau	0.0651824
Honduras	0.0650315
world	0.0644163
Mozambique	0.0643133
"South Africa"	0.0639251
"Commonwealth of Independent States"	0.0634273
"West Timor"	0.063204
Germany	0.0631392
Aegean	0.062837
Japan	0.0627148
"Guinea Bissau"	0.0626518
Brazzaville	0.0625195
Baghdad	0.0624188
nation	0.0623836
"oil market"	0.0623396
homeland	0.0622063
Maluku	0.0621657
Poland	0.0615701
crisis	0.0613681
"Balkan nation"	0.0613554
"Saudi Arabia"	0.0613436
Grozny	0.0612203
war	0.0611773
Cuba	0.0610156
economy	0.0609757
Egypt	0.0608299
"European country"	0.0606334
"Western Sahara"	0.0601084
Taiwan	0.0600421
island	0.0600219
Ethiopia	0.059725
Nicaragua	0.0594951
Lesotho	0.0590442
Mitrovica	0.058946
relation	0.0589383
Kisangani	0.058576
Pakistan	0.0585444
peninsula	0.0581438
society	0.0580023
Ireland	0.0577965
"arms control"	0.0576546
Zimbabwe	0.0574778
politics	0.057313
Philippines	0.0572175
Armenia	0.057202
Laos	0.0571409
situation	0.0571209
colony	0.0569683
community	0.0569095
"East Africa"	0.0567844
"European Union"	0.0566674
Israel	0.0565013
Kargil	0.0564364
"world economy"	0.0563459
India	0.0562403
Washington	0.0561174
Nagorno-Karabakh	0.0561075
Britain	0.0560662
Yemen	0.0558735
Bulgaria	0.0558005
JERUSALEM	0.0556893
"Central Europe"	0.0556426
"Caspian Sea"	0.055634
"Eastern Slavonia"	0.0555377
Panama	0.0555053
zone	0.0552817
Libya	0.0551371
Mogadishu	0.0550991
France	0.0550927
NATO	0.055061
"Hong Kong"	0.0550098
Freetown	0.0549203
Bangladesh	0.0548248
Italy	0.0546284
Peru	0.0545007
Monrovia	0.0543187
Zambia	0.0542976
Greece	0.0542133
"United Nations"	0.0538861
hemisphere	0.0538423
Pristina	0.0537215
"rural area"	0.053673
"South Lebanon"	0.0536642
Kenya	0.0536004
Kingdom	0.0535332
"South American country"	0.0534404
Ingushetia	0.0534263
"Sri Lanka"	0.053311
Ukraine	0.0532921
future	0.0531738
Guatemala	0.0530366
Gaza	0.0529294
"South Pacific"	0.0525809
))
(ball (desc 229477) (sims
puck	0.190334
shot	0.1713
pass	0.163367
pitch	0.15141
fastball	0.138535
"line drive"	0.119375
bat	0.118897
grounder	0.118423
"home run"	0.109749
throw	0.107283
"fly ball"	0.101779
putt	0.0991026
slider	0.0988712
"ground ball"	0.0975303
game	0.0972278
"free kick"	0.0971094
play	0.0968491
homer	0.095443
feet	0.0942727
liner	0.0928392
drive	0.0922244
rebound	0.0908056
single	0.0906258
guy	0.0899513
glove	0.0892257
header	0.0886119
catch	0.0886103
touchdown	0.0858884
stick	0.0855639
bag	0.0853981
"golf ball"	0.0853326
hole	0.0849659
punt	0.0840839
jumper	0.0838242
hit	0.0819901
football	0.0816213
baseball	0.0816202
kick	0.0809195
double	0.0808494
"field goal"	0.0806667
run	0.0805056
curveball	0.0800257
chance	0.0796234
bullet	0.079143
thing	0.0788267
foul	0.0786742
car	0.0785234
hand	0.0784912
interception	0.0779305
stuff	0.077211
plate	0.0769929
fumble	0.0765796
goal	0.0764074
changeup	0.0762216
it	0.0761047
piece	0.0753039
"free throw"	0.074939
deep	0.073975
one	0.0738229
player	0.073478
basket	0.0731543
jersey	0.0729004
gun	0.0724355
team	0.0723645
right	0.0723029
leg	0.0722834
volley	0.0722508
walk	0.0719233
helmet	0.0716476
lead	0.0716231
Foot	0.0715954
cross	0.0713745
hat	0.0710041
inning	0.0700236
box	0.0695847
finger	0.069401
something	0.0692657
line	0.0682094
blast	0.068159
arm	0.0681556
wall	0.0680688
second	0.0678949
at-bat	0.0676306
offense	0.0676079
bomb	0.0672825
Mound	0.067268
field	0.0672207
back	0.0669858
knife	0.0669053
camera	0.0667105
runner	0.0666399
two	0.0665326
bunt	0.0663789
basketball	0.0660896
shoe	0.0660599
net	0.066034
bottle	0.0660154
knee	0.0659965
head	0.0659293
rock	0.0658961
object	0.0655113
hitter	0.0654338
punch	0.0653431
dunk	0.0653256
wedge	0.0652906
card	0.0651428
everything	0.0651248
Defense	0.065074
victory	0.0650319
horse	0.0647454
four	0.0644555
racket	0.0643343
pin	0.0641574
forehand	0.0637557
yard	0.0636066
pitching	0.0635712
layup	0.0634314
green	0.0633967
flag	0.0631926
block	0.0630893
clock	0.0630505
birdie	0.0629923
him	0.0628557
bit	0.0628339
boat	0.0626523
shirt	0.0626508
first	0.0624171
receiver	0.0623896
spot	0.0623814
corner	0.0623683
backhand	0.0621932
tree	0.0621268
swing	0.0619816
hook	0.0619391
score	0.0619179
point	0.0617212
em	0.0616482
triple	0.0616348
third	0.06161
fist	0.0614621
Three	0.0614042
cap	0.0613628
anything	0.0612768
man	0.0612563
elbow	0.0610587
title	0.060906
money	0.0608746
water	0.0608212
lot	0.0607809
face	0.0606123
bucket	0.0604807
bench	0.0604697
"grand slam"	0.0604508
door	0.0603071
truck	0.0601782
kid	0.0600358
outs	0.060017
screen	0.059951
ring	0.0599333
putter	0.0598626
playing	0.0598248
trophy	0.059756
record	0.0597458
body	0.0596439
wheel	0.0595785
dirt	0.0594467
somebody	0.059378
rope	0.0593239
season	0.0592655
shoulder	0.0591704
glass	0.0590681
"No. @@"	0.059001
strikeout	0.0589283
"each other"	0.0589224
people	0.0586685
seat	0.0586453
cloth	0.0586273
table	0.0585185
Roll	0.0584953
error	0.0584359
pitcher	0.058235
place	0.0581579
dog	0.0580575
brick	0.0580121
them	0.058012
batter	0.0578945
club	0.0578653
ICE	0.0578358
stone	0.057789
look	0.0576636
me	0.0576625
wood	0.0574952
eye	0.0574289
life	0.0573728
plane	0.0573368
someone	0.0572544
speed	0.0568117
possession	0.056698
straight	0.0566747
can	0.0566273
))
("ball bearing" (desc 1840.12) (sims
"gasoline bomb"	0.0898962
firebomb	0.0827632
"bowling ball"	0.082333
projectile	0.0800468
firecracker	0.0725454
"golf equipment"	0.0706724
cannonball	0.0671159
"rolling pin"	0.0666662
"petrol bomb"	0.0637995
"place mat"	0.0603115
"specialty chemical"	0.059602
"scientific instrument"	0.0591558
"roller skate"	0.0584907
hubcap	0.057362
"air-to-surface missile"	0.0558235
"picture postcard"	0.0556419
"household appliance"	0.0537248
dowel	0.0531475
"four lines"	0.0523202
"bed sheet"	0.0518383
"lubricating oil"	0.0517976
"citric acid"	0.0513709
"mainframe computer"	0.0512594
"beer can"	0.0511521
"consumer product"	0.051069
ordnance	0.0507609
Sunnyvale	0.0502092
detonator	0.0494854
thunderbolt	0.0492615
petrochemical	0.0488696
"landing gear"	0.0483995
"plate glass"	0.0479448
noisemaker	0.0474817
shipbuilding	0.0471467
confetti	0.0469995
oilseed	0.0467633
"hole in the ground"	0.0467408
"explosive device"	0.0462188
metallurgy	0.0461571
canister	0.0459737
"Molotov cocktail"	0.0457534
alloy	0.0454855
calisthenics	0.0454073
invective	0.0453221
saucer	0.0451791
"pipe bomb"	0.0449399
cookware	0.0437478
"cigarette lighter"	0.0436913
harpoon	0.0432021
"pig iron"	0.0428574
"P.J Carlesimo"	0.0428103
"telephone set"	0.042597
vise	0.0423094
vending	0.0422951
bauxite	0.042243
diagnostics	0.0420878
munition	0.0418923
"beach ball"	0.0418285
"laser beam"	0.0418057
repeater	0.0417515
"can opener"	0.0416026
"electric motor"	0.0415047
"snake eyes"	0.0412077
VC	0.0410913
Searle	0.0409858
"precious metal"	0.0408135
"gas stove"	0.0407036
"canned food"	0.0403848
"Titan A.E."	0.0402391
newsprint	0.04015
"tennis ball"	0.0401477
"disk drive"	0.0401225
pellet	0.0400718
"aircraft engine"	0.0400329
))
("ball club" (desc 2146.75) (sims
ballclub	0.250549
"baseball club"	0.126644
"football team"	0.109019
ballplayer	0.105172
team.	0.104787
goaltenders	0.099673
ballgame	0.0993556
"hockey team"	0.0977684
closers	0.0953792
"pass catcher"	0.09361
playmakers	0.0871396
"baseball team"	0.0853689
"hockey player"	0.085275
"guardian angel"	0.084754
puncher	0.0807258
"No. @s"	0.0806438
"role player"	0.0785014
insulator	0.0784084
"basketball team"	0.0783978
"piece of music"	0.0769617
"major-league team"	0.0766441
"baseball player"	0.0755587
cornerbacks	0.0750037
"second unit"	0.0742398
sportsmen	0.0732003
knucklehead	0.0728197
"pitching coach"	0.0722646
"good guy"	0.0705296
"over .@@@"	0.0703171
smoother	0.0698827
there.	0.0695978
"good story"	0.0694066
"hockey game"	0.0691757
"golf game"	0.0690693
"sitting duck"	0.0689861
communicator	0.0689541
basemen	0.0685011
defensemen	0.0682855
lefthander	0.0679263
Clavet	0.0675794
baserunner	0.0670923
balloonist	0.0670723
"base runner"	0.0670104
"bowling ball"	0.066981
"cost structure"	0.0667785
laughingstock	0.0667112
lifter	0.0664204
"piece of work"	0.0663748
All-stars	0.066202
Longo	0.0661849
lifer	0.0661706
"breaking ball"	0.0653047
debater	0.0650216
rebounders	0.0650114
"basketball league"	0.0646641
"Number @"	0.0645047
postseasons	0.064357
fielder	0.0642192
bastard	0.0640523
ump	0.0640178
quarterfinalists	0.0639895
returners	0.0639882
"three pitchers"	0.063727
immortal	0.0636588
journeymen	0.0634259
"medical practice"	0.0633449
"measuring stick"	0.0630006
multimillionaires	0.0629703
"baseball season"	0.0629356
QBs	0.0627122
"frame of mind"	0.0622562
"ball game"	0.0620804
dribbler	0.0620214
nucleus	0.0618535
underachiever	0.061557
"moral force"	0.0615166
twosome	0.061495
"risk taker"	0.0613018
"core group"	0.0606773
thoroughbred	0.0606312
phenoms	0.0605475
fencer	0.0604664
"natural ability"	0.0602608
"game plan"	0.0601223
seasons.	0.0600748
"job candidate"	0.0600713
here.	0.0600421
things	0.0598409
courtesan	0.059678
subconscious	0.0595531
learner	0.0595374
Obilic	0.0594765
Raoux	0.059405
Taufik	0.0591456
"house guest"	0.0590465
fella	0.058924
zinger	0.0588578
goalie	0.0585642
goaltender	0.0583479
"bond rating"	0.0583095
"Van Roost"	0.0581532
postmark	0.0581073
"starting pitcher"	0.0580657
threesome	0.0579976
"Guy Hebert"	0.0579772
"Mike Vernon"	0.0579402
"television star"	0.0575346
"two pitchers"	0.0573833
acquirer	0.0572451
racehorse	0.0570929
"round of golf"	0.0570244
brawler	0.0567807
"Orel Hershiser"	0.0564984
"Otis Smith"	0.0563292
"line of work"	0.0562773
stats	0.0562755
"Kirk Rueter"	0.0561976
"waiting game"	0.0561159
ballgames	0.056073
"major leaguer"	0.0560702
Testud	0.0560623
"one first"	0.0559092
upperclassmen	0.0558526
"hard worker"	0.0556553
Rueter	0.0556173
stuntman	0.0554999
"character actor"	0.0554536
marathoner	0.0554023
Nicol	0.0553853
spacing	0.0551584
"football player"	0.0551057
"jewelry store"	0.055062
"speeding ticket"	0.0550549
"Dream Team"	0.0550229
"goose bumps"	0.0549778
putter	0.0549527
"one line"	0.0549494
"break of serve"	0.0548083
claimer	0.0547667
toolbox	0.0545491
wideouts	0.0545432
"police lieutenant"	0.0545208
"circulatory system"	0.054516
"geographic area"	0.054387
"first pitcher"	0.0541695
"Curtis Joseph"	0.0541148
"first team"	0.053988
"sales staff"	0.053987
"frame of reference"	0.053947
sharper	0.0539355
infielder	0.0538664
"retail operation"	0.0538623
"volleyball player"	0.0537907
instrumentalist	0.0537733
Isringhausen	0.0537277
newspaperman	0.0537219
"vantage point"	0.0537193
"Bruce Matthews"	0.0536783
expletive	0.0536078
eateries	0.053596
neighbour	0.0535792
flat-out	0.0534663
"Big Unit"	0.0534622
"National Grid"	0.0534385
rower	0.0534304
lad	0.0534014
gentlemen	0.0532996
lexicographer	0.0532224
Berasategui	0.0530372
"Subway Series"	0.052942
vote-getters	0.05289
"Tony Hutson"	0.0527881
"hockey coach"	0.0527512
grandkids	0.0527307
"sense of smell"	0.052651
niner	0.0525832
"running play"	0.0525242
playlist	0.0525041
"body of water"	0.0524639
"Bryan Berard"	0.0524611
streak.	0.0523699
"young lady"	0.0522288
mommy	0.0521714
spacewalkers	0.0521577
"main course"	0.052094
baserunners	0.0520447
"trial attorney"	0.05204
switch-hitter	0.0520184
"support system"	0.0519801
umpiring	0.0519752
up-and-down	0.0518653
"bad guy"	0.0518168
"Ray Ferraro"	0.0517215
miler	0.051683
gamecock	0.0516033
"power tool"	0.0515443
houseplant	0.0514662
"Grant Fuhr"	0.051428
Hick	0.0513011
All-Americans	0.051194
))
("ball field" (desc 1043.17) (sims
"baseball diamond"	0.149006
"game room"	0.129979
"miniature golf"	0.124474
"skating rink"	0.112781
"tennis court"	0.108502
"athletic field"	0.100713
"swimming pool"	0.100186
Marina	0.0952233
"wine cellar"	0.0934739
spas	0.0928908
teahouse	0.0922785
"pizza parlor"	0.0899079
"conference center"	0.0889769
"ice rink"	0.0887698
outbuilding	0.0871629
sport-utility	0.0871392
"tea house"	0.0855706
"recreational facility"	0.0839157
gymnasium	0.0821748
"basketball court"	0.079913
sport-utilities	0.0795041
"bowling alley"	0.0793757
gymnasiums	0.0785824
"particle accelerator"	0.0713692
"botanical garden"	0.0698658
"fire station"	0.0697257
stables	0.0695436
"vacant lot"	0.0687231
"domed stadium"	0.0682681
"community center"	0.0677458
"entertainment center"	0.0676759
firehouse	0.0670626
"civic center"	0.0663175
"residence hall"	0.0648095
"baseball glove"	0.0642989
"tennis club"	0.0629654
"sewage system"	0.0617657
Cairn	0.0609451
"car park"	0.0606916
campgrounds	0.0594318
"power tool"	0.0590206
"football field"	0.0584775
waterworks	0.0583363
nightspot	0.0581493
saloon	0.0575688
"parade ground"	0.0565614
"sewer system"	0.0564639
manicurist	0.0562023
"pedestrian bridge"	0.0558904
"landing strip"	0.0556387
taxiway	0.0555145
"Diamond Mountain"	0.0553564
"general store"	0.0549957
"house of cards"	0.0549405
"Ford Expedition"	0.0549162
"Dairy Queen"	0.0546915
"beauty parlor"	0.0541771
Chevys	0.0541424
bullfighter	0.0540226
Jacuzzi	0.0537062
"engine room"	0.053463
"putting green"	0.053383
berm	0.0530557
seawall	0.0530042
"flour mill"	0.0525831
"science museum"	0.0520949
sauna	0.052094
"drawing room"	0.0519029
"football stadium"	0.0518809
megaplex	0.0516913
mock-up	0.0514791
"religious movement"	0.0511355
"picnic area"	0.0509308
"two schools"	0.0507325
"gas plant"	0.0506707
"Land Cruiser"	0.0501382
"debt market"	0.0501074
misperception	0.0497755
"nuclear-powered submarine"	0.0497516
treehouse	0.0496177
Igloo	0.049535
sarcophagus	0.0494009
collider	0.0493301
birdhouse	0.0492894
viaduct	0.0488671
"packing plant"	0.0485128
granary	0.0484639
sewer	0.0484282
"horseback riding"	0.0483844
"highway system"	0.0480154
"Bay Bridge"	0.047854
Cineplex	0.0478282
"bus station"	0.047474
"public toilet"	0.0473913
"National Missile Defense"	0.0472164
stadia	0.0472078
"beauty shop"	0.0467099
abattoir	0.0465617
"blue whale"	0.0465315
"summer house"	0.0463557
"National Museum"	0.0462716
"Grand Canal"	0.0462654
"savings bank"	0.0462545
Quay	0.046164
"cable car"	0.0456893
guillotine	0.0455009
"grammar school"	0.0453239
"beauty salon"	0.045198
"Miller Park"	0.0447847
"service agency"	0.0447672
Galleria	0.0446918
VCs	0.0446803
cabinetmaker	0.0446161
"opera star"	0.0445141
"house of worship"	0.0440194
landscaper	0.0437083
superhighway	0.0436231
astrologer	0.043456
"opera company"	0.0434123
"phone booth"	0.0433576
"resort hotel"	0.0431786
herbalist	0.0431079
pick-up	0.0430632
crematorium	0.0429594
handicapper	0.0429384
"trading floor"	0.042884
"athletic facility"	0.0427898
pergola	0.0427844
"Jeep Grand Cherokee"	0.0426665
"pool table"	0.0426585
"housing development"	0.0426174
"National Library"	0.042598
"three schools"	0.0424459
megaplexes	0.0424422
bedsheets	0.042317
meniscus	0.0421432
"recreation room"	0.0421222
Aqueduct	0.0420782
Radinsky	0.0418748
townhouses	0.0418675
"credit system"	0.0416722
"family doctor"	0.0416566
"guessing game"	0.0415267
Snowmen	0.0413375
YMCA	0.0412603
"pumping station"	0.0411306
burro	0.0408317
"power cable"	0.0407723
"Print Shop"	0.0407609
playpen	0.0407065
metronome	0.0405822
"movie house"	0.0405297
"batting cage"	0.0405128
"picture window"	0.0404456
"candy store"	0.0404416
"first school"	0.0403981
labrum	0.0403452
"fire wall"	0.040277
clunker	0.0401859
tannery	0.0401522
showplace	0.0400867
"dance hall"	0.0400776
hardback	0.0400756
"luxury liner"	0.0400378
))
("ball game" (desc 4481.28) (sims
ballgame	0.259937
ballgames	0.185147
"baseball game"	0.111382
"hockey game"	0.109528
"basketball game"	0.0958335
"softball game"	0.0844023
"frame of mind"	0.0843041
"round of golf"	0.0763832
"Ryder Cups"	0.075439
"shell game"	0.0750433
"big game"	0.074356
"popularity contest"	0.0709839
"chess game"	0.0695326
"piece of music"	0.0694625
game.	0.0682731
"line of work"	0.0647527
"All-Star Games"	0.0639007
"close call"	0.0638491
crapshoot	0.0623481
"ball club"	0.0620804
"National League East"	0.0613851
"numbers game"	0.0612627
bullfight	0.0603911
pluses	0.0597198
"second tour"	0.0582887
nightcap	0.0582031
Series.	0.0569606
"deposit box"	0.05633
"great year"	0.0562315
"Disney World"	0.0560496
"foster home"	0.0559102
misperception	0.0557158
"NCAA Tournament"	0.0557097
tie-break	0.0555063
ballclub	0.0554938
"Little League World Series"	0.0551372
"waiting game"	0.0543994
"football season"	0.0541224
"sour grapes"	0.0540239
"All-Star Game"	0.0537725
"College World Series"	0.0535209
"horse race"	0.0532974
go-round	0.053143
"playoff game"	0.0527792
Christmases	0.0527658
Vega	0.0523792
sandbox	0.0523465
tiebreaker	0.0523192
"dark ages"	0.052261
"night game"	0.0519765
wipeout	0.0519714
"day game"	0.0511879
NCAAs	0.0511626
twosome	0.0511456
"good story"	0.0510937
"car race"	0.050929
"exhibition season"	0.0506916
"guessing game"	0.0503091
imp	0.0502271
non-issue	0.0496899
"piece of work"	0.049562
"road game"	0.0494144
"Final Fours"	0.049299
mind-set	0.0492935
NLCS	0.0492622
"geographic area"	0.0491404
"Amazing Grace"	0.0490717
"hot potato"	0.0490693
"dinner party"	0.0490569
"church service"	0.0490201
"Pro Bowls"	0.048965
faceoffs	0.0488579
"Super Bowls"	0.0487635
"exhibition game"	0.0487469
"away game"	0.0486035
"Fiesta Bowl"	0.0485553
"ski race"	0.0484296
infirmary	0.0484157
slugfest	0.0483563
"Super Bowl XXXIII"	0.0482063
"Cy Young Awards"	0.048195
"crisis situation"	0.0481887
"line of products"	0.04808
Disneyland	0.0480644
pleaser	0.0478717
"social event"	0.0472212
"fish fry"	0.0471509
"business line"	0.0470327
"AFC Championship Game"	0.0469835
"measuring stick"	0.0469426
pro-am	0.0466956
"practical joke"	0.046689
"hole in the ground"	0.0464896
"card game"	0.0460958
charade	0.0460655
"Game @."	0.045881
nonevent	0.0456582
"track meet"	0.0453892
mindset	0.0453769
"trump card"	0.0453427
"National Invitation Tournament"	0.0453293
"pass catcher"	0.0452826
Opens	0.045281
copout	0.0452606
"NL East"	0.0452427
ballplayer	0.0451886
tiebreak	0.045143
"nine yards"	0.0451428
"piece of furniture"	0.0449807
tact	0.0449323
videogames	0.0448346
"next one"	0.0444535
"case in point"	0.044356
"game plan"	0.044354
no-brainer	0.0442298
"good person"	0.0441324
intangible	0.0440586
"work day"	0.0439964
townsfolk	0.0438707
"Swan Lake"	0.0437784
"Stanley Cup Finals"	0.043765
"white elephant"	0.0436733
"Western Open"	0.0436546
"boxing match"	0.0435055
"public eye"	0.0434881
matchups	0.043225
"football team"	0.0431414
"jam session"	0.0430235
"NFC East"	0.0429323
tussle	0.0428982
"dry cleaner"	0.0428374
"Super Bowl XXXIV"	0.0428104
postseasons	0.0427985
"NL Central"	0.0427011
"Solheim Cup"	0.0426096
"background noise"	0.0424722
"race car"	0.0424437
hairstyle	0.0422602
"speaker system"	0.042225
gig	0.0421617
shootout	0.0418837
things	0.0418301
threesome	0.041826
prom	0.0418003
heartbreaker	0.0417981
"Good Book"	0.041779
"summer camp"	0.0417515
"waste of money"	0.041749
"tall order"	0.0415717
spanking	0.0415384
"sugar bowl"	0.0414504
"Emmy Awards"	0.041408
"American League West"	0.0413617
"British Opens"	0.0413279
tangent	0.0413156
"heavy hitter"	0.041276
"modus operandi"	0.0412538
deuce	0.0412204
misconception	0.0411994
no-hitter	0.0411647
"cost structure"	0.0411193
expletive	0.0410196
"Victory Lane"	0.0409375
"theme park"	0.040888
"AFC West"	0.0408849
"time zone"	0.0408407
"United States Open"	0.0408249
canard	0.0407538
"Academy Awards"	0.0406608
"poker game"	0.0406174
"set piece"	0.0406135
"country music"	0.040577
"Sunshine State"	0.0405181
stanza	0.0404966
"game show"	0.0403553
"business plan"	0.0402881
shocker	0.0402578
risk-taking	0.0402211
"breaking ball"	0.0402081
whammy	0.0402043
mitzvah	0.0401202
Roost	0.0401149
hunch	0.040105
))
("ball gown" (desc 3461.1) (sims
"evening dress"	0.228061
"evening gown"	0.17702
"cocktail dress"	0.169897
gown	0.155714
sarong	0.133604
"bathing suit"	0.133487
corset	0.133208
"pants suit"	0.124937
camisole	0.12455
miniskirt	0.123725
blouse	0.122268
taffeta	0.119009
bodice	0.118678
"top hat"	0.118259
"hot pants"	0.115161
bustier	0.114388
"stiletto heel"	0.1139
skirt	0.112298
pantsuit	0.11055
frock	0.110119
anorak	0.109032
"evening bag"	0.107194
satin	0.104872
tulle	0.104096
miniskirts	0.100146
Bonnet	0.0999084
trouser	0.0983681
sheath	0.0938056
corduroy	0.0928604
gingham	0.0904082
Poncho	0.0897591
raincoat	0.0892923
bra	0.0890981
petticoat	0.0888839
chiffon	0.088167
caftan	0.0880969
organza	0.0870592
jumpsuit	0.0867544
headband	0.0861586
"business suit"	0.0850043
bodysuit	0.0836677
capris	0.0835549
tunic	0.0832453
"leather jacket"	0.0830232
plaid	0.0826886
pullover	0.0819084
"bow tie"	0.0817337
brassiere	0.0810972
tuxedo	0.0809851
Pantsuits	0.0804202
suede	0.0804059
scarf	0.0799933
jacket	0.0787704
sweater	0.0786388
cardigan	0.078626
"wedding gown"	0.078339
shawl	0.0782133
Sari	0.0779135
bellbottoms	0.0777676
parka	0.0768654
"sports jacket"	0.0764652
"wedding dress"	0.0762569
pants	0.0761234
windbreaker	0.0760298
turban	0.0750434
velvet	0.0745562
sandal	0.0742435
headdress	0.0739326
hairpiece	0.073395
tux	0.0718188
poodle	0.071057
"body armor"	0.0708336
halter	0.070808
overcoat	0.0702011
turtleneck	0.0701946
trousers	0.0695186
pajama	0.0693748
bluejeans	0.0692908
pompom	0.0683855
denim	0.0683183
Tutu	0.0675147
"black tie"	0.0674955
"sweat pants"	0.067181
armband	0.0669671
"cowboy hat"	0.0668736
"polo shirt"	0.0668083
necklace	0.066387
cloak	0.0662322
slack	0.0662252
BOA	0.0661554
slipper	0.0656461
sweatshirt	0.0652514
jean	0.0652114
brocade	0.0651181
robe	0.0645383
bandanna	0.0642444
"dress uniform"	0.0638217
beret	0.0628046
Sash	0.0628045
lingerie	0.0625848
neckline	0.061722
bolero	0.0613851
waistcoat	0.0606525
silk	0.0601027
necktie	0.06007
"nail polish"	0.0596892
"contact lense"	0.0596761
handbag	0.0593619
Cape	0.0592277
loafer	0.0592047
"trench coat"	0.059182
wig	0.0591638
handkerchief	0.0590097
mohair	0.0590013
bathrobe	0.0588982
duster	0.0588407
choker	0.0586096
"sport shirt"	0.0584667
COUTURE	0.0581299
swimsuit	0.0579045
"tissue paper"	0.0576599
kimono	0.0576149
Thong	0.0575902
embroidery	0.057576
hairdo	0.0574608
tights	0.0573271
mitten	0.0572272
sneaker	0.0572269
lipstick	0.0569006
tweed	0.0567403
apron	0.0567214
eyeliner	0.0566997
flannel	0.056625
clingy	0.0560859
confection	0.0558718
"extension cord"	0.0557717
sequin	0.0555967
slinky	0.0544554
pigtail	0.0544188
"hard hat"	0.0543869
khaki	0.0541289
"fur coat"	0.0539136
brooch	0.0538572
bikini	0.0537224
legging	0.0536182
rhinestone	0.0535557
coverall	0.0535117
pantyhose	0.053508
bandana	0.0534296
bloomers	0.0530538
stiletto	0.0529827
shorts	0.0529593
Chino	0.0529361
nightgown	0.0527587
G-string	0.0527336
"running shoe"	0.0525322
suspender	0.0522635
wristband	0.0522534
"life vest"	0.052053
clothes	0.051969
imp	0.0517405
fuchsia	0.0513715
"straw hat"	0.0511817
knapsack	0.0511672
slicker	0.0510623
linen	0.0510234
sportswear	0.0507776
"Star of David"	0.0506942
barrette	0.0505367
smock	0.0505214
tartan	0.0504318
finery	0.0502192
tiara	0.0501771
"boxing glove"	0.0499173
STETSON	0.0496302
kilt	0.0495471
ribbon	0.0494666
ballerina	0.0492284
hosiery	0.0488176
"baseball cap"	0.048759
bunting	0.0485617
bodysuits	0.0482671
fedora	0.0482113
earring	0.0480845
underwear	0.0479352
led	0.047875
"cowboy boot"	0.0477857
nylon	0.0477621
leotards	0.0477369
python	0.047697
"tote bag"	0.0475137
vestment	0.0474858
turquoise	0.0474098
"duffel bag"	0.047144
"feather boa"	0.0467418
crepe	0.0467206
"neck brace"	0.0464486
"dress shirt"	0.0462138
"mink coat"	0.0461639
panty	0.0461171
))
("ball of fire" (desc 1456.38) (sims
fireball	0.150144
"mushroom cloud"	0.0916243
"solar flare"	0.0748454
Anatolia	0.071372
"Florida Everglades"	0.0709612
"residential district"	0.0662065
"market correction"	0.0652177
millisecond	0.0626292
"hue and cry"	0.0591423
kamikaze	0.058456
"pep rally"	0.0579358
licking	0.0576808
comedown	0.0575754
dropoff	0.0563721
shaver	0.0557663
Clockwork	0.055394
"marketing cost"	0.0537946
revivalist	0.0527522
soot	0.0526192
"Kathmandu Valley"	0.0525421
"laser beam"	0.0523559
"bicycle race"	0.0523516
"jazz festival"	0.0519139
zinger	0.0511603
"picture window"	0.0506242
"bowling ball"	0.0505302
"bright side"	0.0500926
"margin call"	0.0491766
"treasure chest"	0.0486604
"economies of scale"	0.0486409
"paper cup"	0.048122
"garbage can"	0.047592
U-boat	0.0471866
Play-Doh	0.0471837
puncher	0.0471466
"morale booster"	0.0469421
"life vest"	0.0466763
"fantasy world"	0.0465749
plume	0.0465622
"rough water"	0.0465335
smooch	0.0464076
Meteor	0.0463866
"speeding ticket"	0.0463175
drop-off	0.0461018
parachutist	0.0458451
Dortmund	0.0455165
sinkhole	0.0453463
double-decker	0.0453155
quicksand	0.0452474
whiplash	0.0449758
"market penetration"	0.0449001
"victory celebration"	0.0447091
"blue whale"	0.0446933
"white elephant"	0.0446752
gunk	0.0443907
lightbulb	0.0443357
midair	0.0441897
bruiser	0.0437235
gob	0.0435611
palladium	0.04346
Balkanization	0.0433819
"knockout punch"	0.0429859
oration	0.0426743
spaceship	0.042312
freebie	0.0421909
gonzo	0.0421871
Palembang	0.0421804
maggot	0.0421273
slicker	0.0420914
dampness	0.0420039
gunplay	0.0418799
Gatsby	0.04182
divot	0.0417863
homebuilder	0.0414721
led	0.041281
"language school"	0.0409487
letdown	0.0406668
Maurice	0.0404934
"life jacket"	0.040424
"tile roof"	0.0403086
"piece of music"	0.0402531
thesaurus	0.0400198
))
("Ball State" (desc 2478.16) (sims
"Arkansas State"	0.167881
Villanova	0.145256
Rutgers	0.136146
"Utah State"	0.134992
"Oklahoma State"	0.132782
Clemson	0.131472
"Fresno State"	0.130533
"Indiana State"	0.127092
LSU	0.12599
Gonzaga	0.124697
"Iowa State"	0.123325
"New Mexico State"	0.120673
"Seton Hall"	0.120396
"Southern Mississippi"	0.119872
Purdue	0.119778
"Louisiana Tech"	0.119435
"Michigan State"	0.118916
"San Jose State"	0.117508
"Montana State"	0.116319
"Oregon State"	0.115518
"Washington State"	0.114999
"Georgia Tech"	0.113903
Vanderbilt	0.113752
"Mississippi State"	0.112781
"Dallas Burn"	0.112313
BYU	0.111654
"Southwest Missouri State"	0.111196
Xavier	0.110601
"Texas Tech"	0.109941
Alabama-Birmingham	0.108635
"Wake Forest"	0.108601
"San Diego State"	0.108571
"Virginia Tech"	0.108004
UAB	0.107918
Baylor	0.1064
"Arizona State"	0.106327
Samford	0.105991
"Ohio State"	0.105642
Gators	0.105432
"Penn State"	0.105345
"Saint Louis"	0.105139
"Georgia Southern"	0.104828
"Old Dominion"	0.104786
Furman	0.104269
"Colorado State"	0.10328
"Jackson State"	0.102568
Wolfpack	0.10116
"N.C. State"	0.099715
"Texas Christian"	0.0992876
DePaul	0.0991698
"Boston College"	0.0987449
"Kansas State"	0.0978867
Sooners	0.0978071
"Appalachian State"	0.0961952
"Nashville Predators"	0.0960565
ASU	0.0952712
"Weber State"	0.0951623
Hawkeyes	0.0949839
Syracuse	0.094848
UConn	0.0947732
Stanford	0.0945556
"Catalina Cristea"	0.0938203
"Washington Wizards"	0.091507
Boilermakers	0.0914583
"Boise State"	0.0912316
MetroStars	0.0911471
Pepperdine	0.0905177
"North Carolina State"	0.0901906
"Brigham Young"	0.0889836
"Central Florida"	0.0889665
"New York-New Jersey MetroStars"	0.0889256
"Chicago Fire"	0.0880661
"New York Liberty"	0.0878278
"Miami Fusion"	0.0877894
Tulane	0.0877082
"Notre Dame"	0.0872094
SMU	0.0870308
"Florida State"	0.0869635
UNLV	0.0865665
terrapin	0.0863978
"Philadelphia Eagles"	0.0863637
"Scarlet Knights"	0.0862394
Lehigh	0.0854109
"Marat Safin"	0.084253
"Tar Heels"	0.0836066
"Louisiana State"	0.0833736
"East Carolina"	0.0825078
Minutemen	0.0821067
Hoya	0.0817647
"Horned Frogs"	0.0817119
"Minnesota Twins"	0.0814826
USC	0.0809201
Georgetown	0.0808059
"Patty Schnyder"	0.0806917
FSU	0.0804901
northwestern	0.080437
"Trail Blazers"	0.0802778
Fordham	0.0800636
cougar	0.0799036
"CHARLOTTE STING"	0.0793021
"Ai Sugiyama"	0.0791459
wildcat	0.0788363
"Calgary Flames"	0.0783511
UMass	0.07815
CSUN	0.0781377
"Colorado Rockies"	0.0778418
"Lisa Raymond"	0.0778007
NAU	0.0775813
Auburn	0.0773723
"Jennifer Capriati"	0.0773352
Starzz	0.0773145
"Amanda Coetzer"	0.0771674
Dartmouth	0.0768808
"Vancouver Canucks"	0.0767207
Cal	0.0767011
"St. Bonaventure"	0.0764908
"Crimson Tide"	0.0762913
Iona	0.0762393
"Detroit Tigers"	0.0761113
Illini	0.0760892
"Long Beach State"	0.0759754
Hofstra	0.0757485
ou	0.0755335
"Barbara Schett"	0.0752967
"Grant Stafford"	0.0750311
"Portland Trail Blazers"	0.0747674
"Indianapolis Colts"	0.074754
Huskers	0.0747531
"Simon Archer"	0.0746606
"Tatiana Panova"	0.0746384
Tulsa	0.0745783
"Northern Arizona"	0.074548
Jayhawks	0.0742945
"Miami Dolphins"	0.0740865
"Wang Chen"	0.073905
"Ottawa Senators"	0.0738415
buckeye	0.0736797
"Wayne Black"	0.0735052
"Arnaud Boetsch"	0.0734574
Oregon	0.0732706
"Chicago Blackhawks"	0.0732314
Karlsson	0.0731637
outhit	0.0731243
"Karol Kucera"	0.0729701
Lobos	0.0728029
"Elena Dementieva"	0.0727832
"Kansas City Royals"	0.0727535
Nebraska	0.0727367
"Sandrine Testud"	0.0726832
Marquette	0.0726139
gamecock	0.0721853
"Miami Heat"	0.0720197
TCU	0.0716133
"Australian Mark Philippoussis"	0.0715519
"Joannette Kruger"	0.0714347
Carolina	0.0713371
"Thomas Johansson"	0.0711292
"Cincinnati Bengals"	0.0709978
Mantilla	0.0708702
"Todd Martin"	0.0708057
"Zhang Ning"	0.0707775
"Nottingham Forest"	0.0704771
bearcat	0.0701476
Vols	0.0700471
"Phenix City"	0.0699586
Seminoles	0.069889
"Dallas Stars"	0.0697597
"Richard Fromberg"	0.0697567
Evansville	0.0697521
Jacksonville	0.0695473
bulldog	0.0694395
"Arizona Cardinals"	0.0693347
"devil ray"	0.0692753
Bruguera	0.069168
"Buffalo Sabres"	0.0691113
"Albert Portas"	0.0690947
"Chinese Taipei"	0.0689816
"Houston Astros"	0.0684911
"Kim Taek Soo"	0.0684817
"Tampa Bay"	0.0684226
"San Diego Chargers"	0.068304
OSU	0.0681888
Aggies	0.0681304
Oklahoma	0.0680739
"Dominique Van Roost"	0.0680427
Buffaloes	0.0679711
"Hernan Gumy"	0.067936
"Juan Carlos Ferrero"	0.0676498
"Sacramento State"	0.0675506
"St. John"	0.0674987
"Florida Panthers"	0.0674535
"Boston Red Sox"	0.0673611
"Seattle Seahawks"	0.0673056
"Jorgen Persson"	0.0672693
"Fighting Irish"	0.067098
Winthrop	0.0668739
"Alberto Costa"	0.0667959
"Green Bay"	0.0667919
"New York Giants"	0.0667574
"Red Storm"	0.0666444
))
(ballad (desc 26853) (sims
Song	0.168924
tune	0.143016
melody	0.12133
music	0.104677
hymn	0.103838
lyric	0.101109
"folk song"	0.0993493
ditty	0.0981528
Lullaby	0.0928001
anthem	0.09184
duet	0.0890189
poem	0.0854254
Aria	0.085072
pop	0.084143
vocals	0.0821286
"Amazing Grace"	0.0809059
verse	0.0808088
album	0.0797449
gospel	0.0777131
Jazz	0.0773029
dance	0.0763578
"folk music"	0.0761538
opera	0.0758817
rendition	0.0753024
Ode	0.0750677
"R&AMP;B"	0.0750415
"classical music"	0.0748945
poetry	0.0747793
tale	0.0747157
dirge	0.0742466
"country music"	0.0742303
oldies	0.0736635
musical	0.0735749
rhythm	0.0731684
comedy	0.072423
jingle	0.0709167
"dance music"	0.0702711
soundtrack	0.0693812
waltz	0.069355
novel	0.0683893
rhythm-and-blues	0.0675756
bluegrass	0.0673162
hip-hop	0.0656025
classic	0.0655722
drama	0.0655368
Recording	0.0654919
psalm	0.0653675
"love story"	0.0649227
"theme song"	0.0644925
fable	0.0642811
eulogy	0.0641008
solo	0.0634225
"Christmas carol"	0.0632918
phrase	0.0631064
Reggae	0.0630275
sermon	0.0621517
singing	0.062097
groove	0.0619897
blue	0.0615779
rap	0.061431
operetta	0.0612968
calypso	0.0606932
theme	0.0606918
baritone	0.0604961
voice	0.0602793
NOVA	0.060105
prose	0.0599223
"pop music"	0.0596932
spiritual	0.0591201
riff	0.0588479
"rock 'n' roll"	0.0584585
falsetto	0.0582262
style	0.0579479
soul	0.0578162
essay	0.0576951
Funk	0.0575245
"national anthem"	0.0564253
piece	0.056377
singer	0.0563243
samba	0.0562031
"short story"	0.0562021
honky-tonk	0.0557839
chant	0.0556931
melancholy	0.0555941
rock	0.0555664
composition	0.055061
melodrama	0.0549301
klezmer	0.0543736
guitar	0.0542127
band	0.0541099
scene	0.0537851
CD	0.0536241
"rock band"	0.0533499
script	0.0530757
symphony	0.0530482
beauty	0.0530079
harmony	0.0530065
memoir	0.0527539
lament	0.0525981
sonnet	0.0523261
Carol	0.0515368
narrative	0.0514234
ballet	0.0513445
tenor	0.0512985
"popular music"	0.0512444
quartet	0.0512301
tone	0.0512283
Romanticism	0.0512158
epic	0.0508678
masterpiece	0.0508518
genre	0.0504251
instrumental	0.0503537
blues	0.0502827
chord	0.0502547
folk	0.0500092
monologue	0.0498
repertory	0.0496058
thriller	0.049473
concerto	0.0491994
chorus	0.0491341
"love letter"	0.049113
vignette	0.0489878
fiction	0.0486792
cliche	0.0485142
anecdote	0.0480721
fantasy	0.0480142
tango	0.0479597
artist	0.0479591
painting	0.0478765
meditation	0.0477189
"musical theater"	0.0476364
video	0.0475943
literature	0.0473326
refrain	0.0471824
crooner	0.0471555
piano	0.0470589
elegy	0.0469632
travelogue	0.0468739
Romance	0.0468637
skit	0.0467095
tribute	0.0466776
interlude	0.0463278
portrait	0.0462682
musings	0.0461954
reminiscence	0.046138
trio	0.0460422
rhyme	0.0459256
cinematography	0.0458738
"American Pie"	0.0458276
paean	0.0457881
musician	0.0455582
"big band"	0.04526
vamp	0.0452297
sitcom	0.0449477
songwriter	0.0448746
choir	0.044218
cookbook	0.0441793
cuisine	0.044165
Beatles	0.0436664
"folk dance"	0.043519
drumming	0.0434953
soprano	0.0432558
rumination	0.0431628
lyricism	0.0431454
expression	0.0430828
concert	0.0428585
myth	0.0428574
accent	0.0426333
punk	0.0425795
quintet	0.0425376
farewell	0.0424453
phrasing	0.0422507
legend	0.0421173
Saga	0.0420932
evocation	0.0420721
Rhapsody	0.042067
realism	0.0420344
sketch	0.0419898
soliloquy	0.0419554
nostalgia	0.0418436
decor	0.0418303
salsa	0.0415378
novella	0.0414017
orchestration	0.0413748
composer	0.0413258
charm	0.0413252
improvisation	0.0411155
Allegory	0.0408863
texture	0.0408067
confection	0.0407941
dancing	0.040766
documentary	0.0407261
percussion	0.0406416
narration	0.0406331
gem	0.0406007
come-on	0.0405088
parable	0.0403127
recital	0.0402721
TLC	0.04014
tempo	0.0401192
))
(Ballantine (desc 2776.9) (sims
Berkley	0.165205
"Warner Books"	0.162257
"Broadway Books"	0.161683
"Chronicle Books"	0.160677
"Henry Holt"	0.157162
"William Morrow"	0.138958
"Simon &AMP; Schuster"	0.137212
Scribner	0.135363
"Pocket Books"	0.134424
HarperCollins	0.121006
"Houghton Mifflin"	0.119196
Riverhead	0.11665
"Random House"	0.114183
Hyperion	0.113561
Knopf	0.110605
Doubleday	0.110019
Bantam	0.109331
"Basic Books"	0.107956
"Farrar, Straus &AMP; Giroux"	0.104216
"Oxford University Press"	0.0985322
"Free Press"	0.097986
MacMillan	0.0963338
Schuster	0.0943295
Morrow	0.0924713
Avon	0.0913558
Abrams	0.0830066
"St. Martin"	0.0822391
Putnam	0.079869
Dutton	0.0737998
Algonquin	0.0735036
"W.W Norton"	0.0727948
Delacorte	0.0698684
Norton	0.0661954
workman	0.0647235
capo	0.0646858
"Satanic Verses"	0.0639604
scholastic	0.0617449
paperback	0.0598486
Regan	0.0592246
"Invisible Man"	0.0571326
Wiley	0.0546841
"Modern Library"	0.0541596
potter	0.052239
McGraw-Hill	0.0508299
Holt	0.049444
Zinfandel	0.0483105
sf	0.0475126
IDG	0.0472489
"Public Affairs"	0.0468361
HARDCOVER	0.0441533
Italia	0.0439267
F-P	0.0438598
Harcourt	0.0433863
artisan	0.0424207
PAX	0.0420252
ZDNet	0.0410888
))
(Ballard (desc 3489.04) (sims
Hiett	0.0978064
nance	0.0885933
Sassa	0.08694
Katzenberg	0.0842413
Ziegler	0.0790433
Kraus	0.0770718
Fordice	0.0769625
jacoby	0.076743
Neulander	0.0762477
Hallinan	0.0750781
Chappell	0.0744545
Baez	0.0732776
Cooke	0.0730979
Stahl	0.0730504
Grasso	0.0721287
Blackman	0.0718476
Maher	0.0713671
Sharma	0.0710443
Modell	0.0705771
Gartner	0.0692736
SAFY	0.0688448
Shackleton	0.0682966
Bradshaw	0.0680219
Doherty	0.0677048
Hersh	0.0669029
Ganga	0.0666141
Capps	0.0658322
D'Alessandro	0.0654584
Garfield	0.0651344
Hess	0.0651281
McNulty	0.0649919
Mehta	0.0647124
Shriver	0.0646524
Horowitz	0.0643808
McCartney	0.0641229
Bulatovic	0.0641
Wolfe	0.0633783
Hirsch	0.0631063
Bassett	0.0628691
Donahue	0.0627371
Cao	0.0621327
Hagel	0.061979
Soyinka	0.061949
MacKay	0.0618752
McMellon	0.0618308
Whitacre	0.0617773
Soto	0.0617293
Onassis	0.0616397
Mukora	0.0615808
Mikhailov	0.061577
Newhouse	0.0615719
Olson	0.0610424
Mueller	0.0608726
Reiner	0.0608412
Calhoun	0.0607654
McLaughlin	0.0606208
Heston	0.0606005
Carr	0.060352
Fiorina	0.0603355
Gorbachev	0.0602517
Slocum	0.0602449
Biskind	0.0601195
Kennelly	0.0601033
Kelso	0.0599602
Ebersol	0.0594098
Oakley	0.0592057
Hahn	0.0590142
Skiles	0.0589598
Ivester	0.0589343
Copeland	0.0589227
Montiel	0.0588319
Segal	0.0585621
Weinberg	0.0585583
Ftorek	0.0585247
Rosenblatt	0.0584365
Thomson	0.0584048
Adler	0.0583655
krueger	0.0581919
Vasquez	0.058091
McGinn	0.0579051
Havelange	0.0577671
Jaffe	0.0577562
Harris-Lewis	0.0576703
Baldwin	0.0575742
Harrell	0.0575323
Geron	0.0574026
Harrick	0.0573812
Norstrom	0.0572697
Bensonhurst	0.0572377
Spielman	0.057093
Doyle	0.0568572
Neely	0.0567821
Ramirez	0.0567582
Samuelson	0.0566378
Markovic	0.0566099
Stafford	0.0565755
Boles	0.0565717
Castaneda	0.0565376
Tapia	0.0565344
Stoneman	0.0562408
Burks	0.0562355
Fagan	0.0562035
Greenwald	0.0561732
Maddox	0.056137
Jennings	0.0561258
Cochran	0.0560261
Nebiolo	0.0558908
Ozawa	0.0557538
Whaley	0.0557293
Harding	0.055684
Cheng	0.0556465
Lawler	0.0555539
Yu	0.0555515
Durwood	0.0555065
Herzog	0.0554799
HELLER	0.0553365
Hartman	0.0552824
Dunston	0.0552465
Romanowski	0.0552036
Currie	0.0551007
Lowey	0.055
Bloch	0.0547918
Sheppard	0.0547463
Liggett	0.0547307
Rabe	0.0546127
Zou	0.0545619
Ramsey	0.0545216
Jager	0.0544777
McLeod	0.054472
McKay	0.0544457
Huffington	0.0537996
Chu	0.0537749
Foley	0.053707
Harrington	0.053662
Ashrawi	0.0536373
Katsav	0.0536102
"Del Toro"	0.0535687
Hinckley	0.0534875
Kagalovsky	0.05347
Papon	0.0533972
Tsai	0.0531826
Iglesias	0.0530919
Skinner	0.0530319
Fraga	0.0529686
Wannstedt	0.0528942
Rosenthal	0.0528858
Bragg	0.0528307
Batouty	0.0527244
Leno	0.0527236
Betts	0.0526274
Farnsworth	0.0525632
Lowery	0.0525517
Hayden	0.0525208
Autry	0.0525038
Yates	0.0524879
Penders	0.05247
Jacquet	0.0524364
Taft	0.0523509
Mullins	0.0523087
Goodman	0.0522438
Bruton	0.0521641
wheeler	0.052096
Zarb	0.0520868
Hansen	0.0520661
Akbar	0.0519193
Broaddrick	0.0518803
Henley	0.0518721
Sund	0.0518671
Welch	0.0518592
Watts	0.0518087
Fernandes	0.0517989
Rawlings	0.0516481
Meyers	0.0515928
Wiggins	0.0515288
Sakic	0.0514562
Kehoe	0.0513858
Hodler	0.0513751
Posner	0.0513441
Hobson	0.051305
Wexler	0.0512801
Arbour	0.0512443
Leventhal	0.0511878
Samaranch	0.0511808
Greenfield	0.051168
Cowan	0.0511243
Driscoll	0.05106
Marineau	0.0509517
Yadav	0.0509317
Neel	0.0509087
O'Leary	0.0508903
Berenson	0.0508504
Zarkin	0.0508406
Chmura	0.0508303
Sheehy	0.050785
Kasoulides	0.0507242
Duran	0.0506189
Parker	0.0505494
Dobson	0.0505403
Rosenberg	0.0505357
Trudeau	0.050491
))
(ballast (desc 3095.88) (sims
coolant	0.0923951
heft	0.0868182
wherewithal	0.071696
Filtration	0.0714631
keel	0.0706653
nourishment	0.0706352
oomph	0.0693123
stimulation	0.0687243
Grounding	0.0683558
succor	0.0682962
"traffic cop"	0.0682393
amaryllis	0.0666683
"battering ram"	0.0660032
"elbow room"	0.0637187
aquiculture	0.0634622
fillip	0.0630058
meanderings	0.0629791
"reference point"	0.0627836
steppingstone	0.0614898
"staying power"	0.0613339
flashpoints	0.0613237
"about @ tablespoons"	0.0597445
resonance	0.0591585
clitoris	0.0590439
firepower	0.0582178
"measuring stick"	0.057903
wallop	0.0573471
earplugs	0.0573173
vibrancy	0.0571644
lubricant	0.0567147
desalination	0.0557332
"breathing room"	0.055705
propellant	0.0554699
acuity	0.0554677
"breathing space"	0.0553333
gravitas	0.0548496
underpinning	0.0548427
"rallying point"	0.0545446
ferment	0.0542824
conceit	0.0540222
buoyancy	0.0526382
fodder	0.0524481
fortitude	0.052179
equilibrium	0.0521219
Seawater	0.0520711
wattage	0.0511084
Zing	0.0510109
cu.m	0.0507087
"base of operations"	0.0506555
cachet	0.0504573
cushioning	0.0502904
smokescreen	0.0499215
clarity	0.0499043
"sounding board"	0.0496343
touchstone	0.0491079
"horizontal stabilizer"	0.049038
wastewater	0.0488715
mulch	0.0487443
baggage	0.0483472
"fuel oil"	0.0482812
"Colorado River"	0.0480049
telomerase	0.0479559
superstructure	0.0477851
hyacinth	0.0477784
catharsis	0.0476912
"diesel fuel"	0.0475803
compass	0.0475722
"road map"	0.0474909
"sense of purpose"	0.0474887
"pig iron"	0.0474797
"test case"	0.0474743
rubbish	0.047319
propane	0.0473043
template	0.0472278
"connective tissue"	0.0470458
"smoke screen"	0.0470391
emptiness	0.0470156
subtext	0.0465459
"more than @@ million tons"	0.0462258
pizazz	0.0460211
effluent	0.0459716
weightings	0.0459329
wellspring	0.0455842
"positive feedback"	0.0455308
self-control	0.045327
disorientation	0.0452467
absolutes	0.0451751
calisthenics	0.045154
richness	0.0449942
"peace of mind"	0.0449531
dexterity	0.0447254
napalm	0.044712
"two million tons"	0.0446687
"front man"	0.0445982
goosebumps	0.0445189
"time clock"	0.0445038
conduit	0.0444584
"background noise"	0.0444213
traction	0.0443403
"rocket fuel"	0.0442373
"sneak preview"	0.0441625
"Taihu Lake"	0.0441553
"data system"	0.0440876
send-off	0.0440841
"support system"	0.0440647
"punching bag"	0.0440605
"meeting place"	0.0437189
"time off"	0.0437151
sinew	0.0436865
cistern	0.0436108
turbogenerator	0.0435866
"stepping stone"	0.0435789
identifier	0.0435657
"treading water"	0.0435589
blinder	0.043548
lapping	0.0435246
"sewage disposal"	0.0433256
imp	0.0431488
vitality	0.0431005
octane	0.0430711
"building block"	0.0430097
insulation	0.0429417
"speed bump"	0.0427476
enrichment	0.04267
signpost	0.0426104
stimulus	0.0424269
amplification	0.0423681
refreshment	0.0423596
"three million yuan"	0.0422289
drainage	0.042142
padding	0.0420688
pretension	0.0420252
crewmen	0.041951
conveyor	0.0419463
alibi	0.0419018
filler	0.0418596
hang-up	0.041631
documentation	0.0416258
solidity	0.0413041
chlorine	0.0412066
"central heating"	0.0412049
gyroscope	0.0411816
sewerage	0.04118
distillation	0.0411732
functionality	0.0410463
coherence	0.0409607
"pen pal"	0.0409187
"toxic waste"	0.0409036
"turning point"	0.0405922
whiplash	0.0404562
rawness	0.0402107
guidepost	0.0401162
))
(ballclub (desc 6482.91) (sims
"ball club"	0.250549
"football team"	0.140126
team.	0.10617
"baseball team"	0.08717
ballgame	0.0845069
"basketball team"	0.0844981
"hockey team"	0.0822139
"baseball club"	0.0794279
ballplayer	0.0772974
franchise	0.0699722
roster	0.069597
goaltenders	0.0672788
"second unit"	0.0651947
"major-league team"	0.0641109
pitching	0.0638097
"farm team"	0.0627952
"hockey player"	0.0618996
underachiever	0.0616538
nucleus	0.0612972
hitter	0.0602434
"over .@@@"	0.0600606
"game plan"	0.059511
"round of golf"	0.0594063
sportsmen	0.0586758
"pass catcher"	0.0584065
closers	0.0580305
baserunner	0.0575627
"guardian angel"	0.0574985
"treading water"	0.056799
outhit	0.0565105
"pitching coach"	0.0564954
Celtics	0.0563511
"role player"	0.0560792
"ball game"	0.0554938
"won-lost record"	0.0551457
proactive	0.0551363
"human race"	0.05511
insulator	0.0550578
ergonomics	0.0540909
goaltender	0.0540841
"line of work"	0.0536793
"frame of mind"	0.0528986
"medical practice"	0.052819
"waiting game"	0.0527383
outfielder	0.0525658
playmakers	0.0525356
"golf game"	0.0523222
"good story"	0.0515279
cornerbacks	0.051523
dot-com	0.0514441
bullpen	0.0514063
"quality of life"	0.0513219
"piece of work"	0.051294
Nn	0.0512773
enjoyment	0.0510503
"football player"	0.0510236
secondary	0.0504541
knucklehead	0.0502927
catcher	0.0502505
"retail operation"	0.0500187
fielder	0.0498951
idiot	0.0498887
smoother	0.0495726
lefthander	0.0494291
"good guy"	0.0494146
"Republican Party"	0.0492924
"batting order"	0.0492506
"center fielder"	0.0491373
"starting pitcher"	0.0489765
mindset	0.0489603
shortstop	0.0487088
putter	0.048079
"cost structure"	0.0479121
"retirement plan"	0.047886
"frame of reference"	0.0478438
there.	0.0476989
infielder	0.0474841
learner	0.0474155
things	0.04713
journeymen	0.0471258
ballgames	0.0470815
"sports fan"	0.0466225
outfield	0.0465893
"breaking ball"	0.0465414
Intimidator	0.0465099
"role model"	0.0465056
"cup of tea"	0.046502
"business processe"	0.0464941
change-up	0.0464199
"baseball season"	0.0461994
harder	0.046116
"second baseman"	0.0460909
rejoicing	0.0458434
"business plan"	0.0458358
hurler	0.0457872
balloonist	0.0456678
"core group"	0.0456592
hockey	0.0454469
"human being"	0.0453013
acoustic	0.0452143
composure	0.0451226
rotation	0.0451047
"Dream Team"	0.0450184
golfer	0.0448085
"inferiority complex"	0.0447873
defensemen	0.0447718
"piece of music"	0.0446721
basemen	0.0445797
"relief pitcher"	0.0445491
easier	0.0445098
"transportation system"	0.0445083
goalie	0.0444592
"first team"	0.044313
fella	0.0442465
spiel	0.0441874
stats	0.0440003
playlist	0.0439445
"Kevin Elster"	0.0439244
rapport	0.043747
"young person"	0.043628
"bottom line"	0.0434738
"credit history"	0.0433892
whipping	0.0433849
picky	0.0433081
twosome	0.0433056
ruffian	0.0432806
"young lady"	0.0432608
"coming back"	0.0432382
communicator	0.0432298
shooter	0.0432121
"big leaguer"	0.043134
skater	0.0430687
"jigsaw puzzle"	0.043042
up-and-down	0.0430164
"child welfare agency"	0.0429734
laughingstock	0.0429496
"good person"	0.0428221
bastard	0.0428127
Lilco	0.0427456
profession	0.0426996
"race car"	0.0425806
"natural ability"	0.0425731
"running game"	0.0425559
"first baseman"	0.0424643
yourself	0.0423104
puncher	0.0422933
"measuring stick"	0.0422373
"base runner"	0.0422078
"bad guy"	0.042177
expletive	0.0421006
subconscious	0.0420915
"Trojan Horse"	0.0420187
"Roth IRA"	0.0419876
psyche	0.0419102
"Orel Hershiser"	0.0418623
"trial balloon"	0.0418542
passer	0.0418291
thoroughbred	0.0417063
self-image	0.0416107
"rock band"	0.041476
student-athletes	0.0414454
linemen	0.0414422
"football season"	0.0414308
pedigree	0.0414074
streak.	0.041322
"security system"	0.0413175
Trojan	0.0412953
bloke	0.0412495
"third baseman"	0.0412106
"whipping boy"	0.0411259
"support system"	0.041093
"retirement benefit"	0.0410642
cricketer	0.0409362
ourselves	0.040884
"Tar Heels"	0.0408749
farmhand	0.0408545
changeup	0.0407968
dribbler	0.0407891
"left fielder"	0.0407622
mankind	0.0407107
Kicker	0.0406386
thrower	0.0406375
itch	0.040624
"family business"	0.0405114
"nest egg"	0.0404758
racehorse	0.0404339
Vibe	0.0404048
left-hander	0.0402665
"hockey game"	0.0402443
handicapper	0.0402382
"popularity contest"	0.0402132
blinder	0.0401415
BEARS	0.040128
identifier	0.040019
))
(ballerina (desc 9041.19) (sims
dancer	0.116686
"ballet dancer"	0.104776
violinist	0.103743
pianist	0.0918487
soloist	0.0875761
"leading lady"	0.0874988
choreographer	0.0850524
cellist	0.0811536
"movie star"	0.0798611
actress	0.0797975
acrobat	0.0792513
sculptor	0.0767208
"big leaguer"	0.0736118
novelist	0.0735315
musician	0.0724242
"belly dancer"	0.0722818
Playwright	0.0704519
poet	0.0703176
"opera star"	0.0699423
"fashion model"	0.0697253
composer	0.0684739
socialite	0.0682837
"hockey player"	0.0682228
ballet	0.0676948
painter	0.0671997
"fashion designer"	0.0670931
"art historian"	0.0666883
conductor	0.0659634
comedian	0.0657549
nobleman	0.0653591
hostess	0.0646473
"baseball player"	0.0638065
statesman	0.0633297
sportswriter	0.0632785
Princess	0.0630752
bodybuilder	0.0629891
"young actress"	0.0629621
"stage director"	0.0628411
courtesan	0.0627039
vocalist	0.0625664
"jazz musician"	0.0625305
"Navy Seal"	0.0616552
balloonist	0.0615514
stylist	0.0612911
clown	0.0607971
rapper	0.0607318
vaulter	0.060551
mathematician	0.0601895
stuntman	0.0599417
filmmaker	0.0599094
"television star"	0.059731
heiress	0.0595866
singer	0.0592489
"landscape architect"	0.0591906
newspaperman	0.0589881
"basketball player"	0.0589501
"tough guy"	0.0587525
photographer	0.0586279
cheerleader	0.0585785
calligrapher	0.0581176
songwriter	0.0580816
ballplayer	0.0579078
gymnast	0.0578835
illustrator	0.0577435
performer	0.0572943
geisha	0.0569921
satirist	0.0568925
entertainer	0.0568282
guitarist	0.056678
"interior designer"	0.0564652
innovator	0.056413
dramatist	0.0561645
filmmakers	0.0561485
"folk singer"	0.0559572
"good person"	0.055907
Scrooge	0.0558176
storyteller	0.0557144
decorator	0.0556531
juggler	0.0552611
moviemakers	0.0552519
cabinetmaker	0.0552358
blonde	0.0551382
showgirl	0.0551112
bullfighter	0.0550012
designer	0.0548609
"Darth Vader"	0.0545875
ingenue	0.0545728
lexicographer	0.0541177
supermodel	0.0540909
poodle	0.0537814
"pas de deux"	0.0536994
brunette	0.0535827
drummer	0.0535357
soprano	0.0534633
"rock star"	0.0533676
stewardess	0.0532743
QBs	0.0531053
jurist	0.0530134
aristocrat	0.0528921
housewife	0.0528439
"leading man"	0.052814
repertory	0.0527414
Virgin	0.0527297
homemaker	0.0527086
instrumentalist	0.0527076
yachtsman	0.0527012
philosopher	0.0526484
"volleyball player"	0.0523381
"chess player"	0.0521916
schoolteacher	0.0521517
physicist	0.0520998
mime	0.052028
"naval officer"	0.0520033
architect	0.0519935
"social worker"	0.0518773
hippie	0.051851
singer-songwriter	0.0514658
chef	0.0514569
hobo	0.051318
"disc jockey"	0.0512923
"major leaguer"	0.0511029
transsexual	0.0510517
divorcee	0.0508523
nun	0.0508384
whore	0.0505717
pediatrician	0.050468
junkie	0.050389
"young girl"	0.0503429
stockbroker	0.0500084
tenor	0.0498515
feminist	0.0498403
skater	0.0496832
wrestler	0.0496136
stripper	0.0495958
classicist	0.0495831
idealist	0.0495324
choirboy	0.0495261
redhead	0.0495165
philanthropist	0.0494354
temptress	0.049416
"art student"	0.0493289
cartoonist	0.0492441
"ball gown"	0.0492284
"registered nurse"	0.0491449
arranger	0.0491087
"black person"	0.0490143
aviator	0.0489754
psychologist	0.0489626
knucklehead	0.0489096
astronaut	0.0489045
preacher	0.0489024
flutist	0.0488475
snowboarder	0.0486866
troubadour	0.0486064
fencer	0.0485958
prizefighter	0.0485757
linguist	0.0483625
golfer	0.04818
crooner	0.0481799
"tennis player"	0.0480867
revolutionary	0.0479314
"professional golfer"	0.0478979
"football player"	0.0478787
botanist	0.0477684
"rich man"	0.0476085
Everyman	0.0475774
Irishmen	0.0475765
lass	0.0475406
adventurer	0.0474314
witch	0.0474191
virtuoso	0.0472543
"man of letters"	0.047254
thinker	0.0472244
Olympian	0.0471814
heroine	0.0471254
"film star"	0.0467841
"math teacher"	0.0467711
thespian	0.0467426
puppeteer	0.0466811
folklorist	0.0462977
"medical student"	0.0462938
"film producer"	0.0462448
swimmer	0.0462205
"role player"	0.0461641
medic	0.0461381
"press agent"	0.0461251
musicologist	0.0461079
"air force officer"	0.0460815
restaurateur	0.0460135
waitress	0.0457588
geologist	0.0457197
"guitar player"	0.0457035
psychiatrist	0.0456979
flapper	0.0456893
Seaman	0.0456687
diva	0.0456664
naturalist	0.0455491
barrister	0.0453898
supplicant	0.0453494
matron	0.0452907
))
(Ballesteros (desc 1372.04) (sims
"Seve Ballesteros"	0.132497
"Ian Woosnam"	0.102622
Gogel	0.0832907
"Nick Faldo"	0.0827016
Faldo	0.0808237
Langer	0.0802129
Whittingham	0.079858
Sutton	0.0784867
O'Meara	0.0783978
"Bernhard Langer"	0.0763215
Westwood	0.0748079
Rodionov	0.0740191
Hoch	0.0717075
Quigley	0.0706975
Bunning	0.0673496
Romar	0.066701
Jayakumar	0.0665054
Rahal	0.0665027
Speer	0.0659334
Montgomerie	0.0650295
"Jack Nicklaus"	0.0641863
Kuehne	0.0629208
Nicklaus	0.0615691
Blyth	0.0614533
Sheehan	0.0613664
Stricker	0.0610512
"Irina Slutskaya"	0.0608504
"Kirk Triplett"	0.0606331
"Greg Norman"	0.0605919
Lehman	0.0605564
"Craig Stadler"	0.0604133
"Mark O'Meara"	0.0595692
Durant	0.0592678
Nkomo	0.0591289
Raitt	0.0591218
Ozaki	0.05852
Langham	0.0583054
Murayama	0.058124
Sato	0.0579838
Talebi	0.0576566
Sumaye	0.0570321
White-McCarty	0.0568636
Ochoa	0.0566641
"Raymond Floyd"	0.0563556
Cink	0.056284
Klima	0.0562337
Cepeda	0.0562102
Willard	0.0558469
Janzen	0.0554498
Piot	0.0554468
Burnitz	0.0551307
"Tom Lehman"	0.0550532
"HANK KUEHNE"	0.0548542
Meguid	0.0547141
"Lee Trevino"	0.0546661
Singh	0.0544988
Samuelson	0.0539772
Rankin	0.0537103
Wilkens	0.0534997
Vogts	0.0533839
Hornaday	0.0533201
"Scott Verplank"	0.0532077
Jimenez	0.0530083
Anees	0.0525898
Mueller	0.0524897
"Corey Pavin"	0.0518677
Stubbs	0.0517655
"Johnny Miller"	0.0517583
Fleisher	0.0516992
Neumann	0.0516507
Cowens	0.0516381
Eubanks	0.0511567
Sautin	0.0510775
lacy	0.0508862
"Davis Love III"	0.0507572
DiCarlo	0.0506399
DiCicco	0.0503941
Ernst	0.0503714
Appleby	0.0503647
Andrade	0.0502104
Dunlap	0.0501002
"Massimo D'Alema"	0.0500779
Waldner	0.0499656
Daniel	0.0499326
Fisk	0.0498444
"David Duval"	0.0497541
"Johnny Oates"	0.0496598
Bautista	0.0496443
Waldorf	0.0496113
Pak	0.0491711
Bellamy	0.0491003
"Ernie Els"	0.0490436
"Eddie Cheever"	0.0488745
Jovanovic	0.0488052
Yoakam	0.048759
Reiner	0.0486624
Daly	0.0486593
Bartholomew	0.0485045
estes	0.0482783
Brittan	0.0482441
Vasile	0.0481293
Jorge	0.0479106
Herron	0.047878
Klestil	0.0478281
Inman	0.0476429
"Tim Herron"	0.0476412
"Tom Watson"	0.0475469
Corey	0.0475341
Davies	0.0474894
Parris	0.0474615
Kuchar	0.0472619
Troussier	0.0472235
"Billy Andrade"	0.0471948
Parnevik	0.0471607
Tanui	0.047116
"Fuzzy Zoeller"	0.0470985
famers	0.0470585
"Arnold Palmer"	0.0470398
Haley	0.0468927
Gardiner	0.0467918
"Juha Kankkunen"	0.0467904
"Justin Leonard"	0.0467877
Meggett	0.0467592
Carollo	0.0466606
"Terry Collins"	0.0465737
Brett	0.0465488
Goff	0.0464481
"Hale Irwin"	0.0461963
McKenna	0.0461173
Pape	0.04611
"John Daly"	0.0460166
Drysdale	0.0458991
"Brian Watts"	0.0458864
Devers	0.0458744
McCarron	0.0457279
"Miguel Angel Jimenez"	0.045722
"Answer Lively"	0.0456988
"Curtis Strange"	0.0456944
Stephenson	0.0454546
Montoya	0.0454126
Rawabdeh	0.0454035
Milbury	0.0453988
LaBella	0.0453413
Torrance	0.0451874
Kasoulides	0.0451181
Wolfensohn	0.0450696
"Sheikh Ahmed Yassin"	0.0450545
Woolley	0.0450464
"Dana Quigley"	0.0448184
"Van de Velde"	0.0447931
"Koji Ito"	0.0447289
Boueiz	0.0446092
LeBlanc	0.0446089
"Sam Snead"	0.0445922
Kobayashi	0.044469
Mallon	0.0444055
"Bruce Aven"	0.0442653
"Carlton Fisk"	0.044171
Boller	0.0440769
Torvalds	0.0439267
Venables	0.0438973
Wolfson	0.0438832
Surin	0.0438524
"Padraig Harrington"	0.0437611
Lafleur	0.0437422
Sorenstam	0.0436247
Skiles	0.0436162
Gilkey	0.0435883
Duchesne	0.0435872
Driscoll	0.043551
Guterres	0.0434535
Maruyama	0.0434168
Mickelson	0.0432519
Knowles	0.0431897
Fabius	0.0431727
Colburn	0.0431142
Klinsmann	0.0430787
Fryman	0.0430078
Tillman	0.0429411
Sexson	0.0429067
Abdel-Meguid	0.0428137
Majko	0.042568
Mandella	0.0425486
Irwin	0.0425148
"Betsy King"	0.0424969
Musa	0.0423888
Ebersol	0.0423156
McGuire	0.0422776
"Tony Perez"	0.0422493
Heinrichs	0.0422474
Inkster	0.0421775
Devine	0.042053
Boggs	0.0420038
Hickman	0.0419448
Sojo	0.0419306
Dungy	0.0418787
Castilla	0.0418482
McGinnis	0.0418049
Kagwe	0.0417981
Calhoun	0.0416828
))
(ballet (desc 41940.4) (sims
opera	0.187204
dance	0.163167
"modern dance"	0.129619
musical	0.123877
symphony	0.120192
music	0.113014
operetta	0.106321
acrobatics	0.105202
"folk dance"	0.104453
"classical music"	0.101787
theater	0.101615
choreography	0.101395
"Swan Lake"	0.101009
"musical theater"	0.100818
Jazz	0.0994552
"chamber music"	0.0990606
film	0.0985783
"Beijing Opera"	0.0974349
drama	0.0969102
"martial art"	0.0959566
troupe	0.0939712
concert	0.0938157
art	0.092071
"Peking Opera"	0.0905375
Nutcracker	0.0898583
concerto	0.0896102
orchestra	0.0887357
movie	0.0880359
poetry	0.0864322
repertory	0.0849101
"opera company"	0.082528
comedy	0.0819606
"symphony orchestra"	0.0814945
classic	0.0809815
Song	0.0801665
"ballet company"	0.0780663
"song and dance"	0.0769717
dancing	0.0765912
mime	0.0750669
recital	0.0750128
dancer	0.0745607
"popular music"	0.0743821
novel	0.0740073
painting	0.0740041
"pop music"	0.0722596
photography	0.0722298
"pas de deux"	0.0719133
"opera house"	0.0717579
cabaret	0.0714739
architecture	0.0710093
literature	0.070117
ensemble	0.0700171
"musical comedy"	0.0697684
circus	0.069476
"folk song"	0.0693284
"puppet show"	0.0689739
tango	0.068695
"folk music"	0.0686771
solo	0.0683095
choir	0.0682703
Broadway	0.067792
ballerina	0.0676948
documentary	0.0674187
sport	0.0671949
genre	0.066908
masterpiece	0.0668585
"string quartet"	0.0664682
fiction	0.0663854
Shakespeare	0.0662758
Giselle	0.0660902
premiere	0.0658899
piece	0.0658329
"rock 'n' roll"	0.0657736
pop	0.0656423
flamenco	0.0652951
staging	0.0650379
animation	0.0648228
"folk art"	0.0646581
rap	0.064456
"country music"	0.0644286
cinema	0.0643747
choreographer	0.0643693
artist	0.0640051
"soap opera"	0.0639767
festival	0.0636183
Revue	0.0635589
sitcom	0.0634405
"TV show"	0.0634041
yoga	0.063296
poem	0.0630528
revival	0.0626674
style	0.0625529
sculpture	0.0623429
cuisine	0.0622821
violin	0.0622726
"video game"	0.0621693
composer	0.0616753
"motion picture"	0.0614415
"avant garde"	0.0614036
performance	0.061388
Recording	0.0613777
composition	0.0613703
writing	0.0610912
"big band"	0.0610188
"television show"	0.0609937
Aria	0.0605748
quartet	0.0604541
tale	0.0603289
"New York City Ballet"	0.0602875
album	0.060272
video	0.0602364
calligraphy	0.0602363
Journalism	0.06023
duet	0.0599107
off-Broadway	0.0593213
vaudeville	0.0591169
mambo	0.0587926
cartoon	0.0587593
ragtime	0.0587553
"feature film"	0.0586432
Exhibition	0.0585017
piano	0.0584636
Entertainment	0.0584613
sequence	0.0582854
boxing	0.0581143
spectacle	0.0577592
golf	0.0577488
bluegrass	0.0576644
costume	0.0575103
"short story"	0.0573764
tune	0.0567621
production	0.0565536
Gymnastics	0.0561232
wrestling	0.0561224
aerobics	0.056114
museum	0.0558922
fable	0.0557732
miniseries	0.0556099
singing	0.0555149
scene	0.055407
"Ballet Theater"	0.0554021
hip-hop	0.0553957
commercial	0.0553927
lyric	0.0550544
culture	0.0547017
exhibit	0.0545172
hockey	0.0543874
extravaganza	0.0542736
"Don Quixote"	0.0541918
pageant	0.0540441
fashion	0.0538254
"concert hall"	0.0536779
fantasy	0.0536716
"City Ballet"	0.0535639
Latin	0.0534163
band	0.0532459
"art form"	0.0532252
version	0.0531199
sketch	0.0530637
karate	0.0530183
folklore	0.0530151
trilogy	0.0529636
soccer	0.0528705
Romeo	0.0527853
musician	0.0527277
Romance	0.0525261
gospel	0.0524576
skit	0.0524284
Fosse	0.0523932
"Lion King"	0.0522844
story	0.0522741
Aida	0.0519324
idiom	0.0518848
sonata	0.0518771
Requiem	0.0516863
cooking	0.0516243
performer	0.0513785
ballad	0.0513445
parade	0.0511721
"love story"	0.0511459
Balanchine	0.0511067
biography	0.0511003
adventure	0.0508766
script	0.0506098
politics	0.0505979
works	0.0504953
Skating	0.0504364
theatre	0.0502791
image	0.0501716
character	0.0501347
basketball	0.0500613
guitar	0.0500575
technique	0.0500203
Invention	0.0497948
science	0.0496502
vignette	0.0495376
farce	0.0493296
toy	0.0493206
artwork	0.0492794
special	0.0492297
))
("ballet company" (desc 3077.58) (sims
"opera company"	0.171047
"symphony orchestra"	0.13182
orchestra	0.119081
troupe	0.115003
"Philadelphia Orchestra"	0.101969
"opera house"	0.0985602
"repertory company"	0.0930962
"theater company"	0.0902321
"Royal Ballet"	0.0867818
"New York City Ballet"	0.0852704
"American Ballet Theater"	0.0812639
"concert hall"	0.0805362
ballet	0.0780663
carmakers	0.0767811
"music school"	0.0762771
metropolises	0.0751576
"Boston Symphony Orchestra"	0.0721942
"jazz band"	0.0716657
ensemble	0.0703014
"written language"	0.0700681
symphony	0.0695356
consortia	0.0690588
"Royal Shakespeare Company"	0.0689885
soloist	0.0677215
"chamber orchestra"	0.0669921
"City Ballet"	0.0661518
"arms industry"	0.0661028
conductor	0.0660819
"folk singer"	0.0656898
choir	0.0630931
pallbearer	0.0626301
"Kosovo Verification Mission"	0.0622021
Philharmonic	0.0613461
guild	0.0612238
"Ballet Theater"	0.0611684
"social event"	0.0611356
"medical institution"	0.061078
"popular music"	0.0609846
"Protestant denomination"	0.0607293
"rock band"	0.060717
"butcher shop"	0.060686
"musical theater"	0.0605567
"investment house"	0.0605054
"Vienna Philharmonic"	0.0599971
"steel company"	0.0593517
"retail operation"	0.0593181
steelmaker	0.0585644
puppeteer	0.0583004
"Cleveland Orchestra"	0.0580797
"auto company"	0.0574444
BSO	0.0572602
"Boston Symphony"	0.0572573
"National Republican Congressional Committee"	0.057203
balloonist	0.056668
"credit bureau"	0.056587
"private foundation"	0.0562977
"social group"	0.0561325
"basketball league"	0.0561323
"application program"	0.0558436
"New York Philharmonic"	0.055757
shipbuilder	0.0557185
"debt market"	0.055508
"No. @s"	0.0554474
"nonprofit organization"	0.055348
arboretum	0.0552116
"trade union"	0.0551329
phenoms	0.0550919
"publishing house"	0.0550457
moviemakers	0.054961
bureaux	0.054858
"business organization"	0.0546291
"Royal Opera House"	0.0545641
cabinetmaker	0.0544997
"shipping company"	0.0543823
"blue angel"	0.0541364
"ballet dancer"	0.0537998
operetta	0.0537317
mover	0.0536829
"song and dance"	0.0536828
"football league"	0.0536783
meccas	0.0534898
"Lincoln Center Festival"	0.0534402
"extracurricular activity"	0.0534289
"trade association"	0.0532971
"financial center"	0.0531459
"search committee"	0.0531244
"Human Rights Commission"	0.0530779
"patent office"	0.053063
"folk dance"	0.0528401
"futures exchange"	0.0528039
"planning board"	0.0527511
"string quartet"	0.0527198
"chamber music"	0.0527128
"paramilitary organization"	0.0527013
"musical group"	0.0526068
"work group"	0.0523736
"market average"	0.0521726
"jazz musician"	0.0521522
"test-tube baby"	0.052043
"Ethics Commission"	0.0519303
"electronics company"	0.0519012
"transit authority"	0.0518955
"secret society"	0.0516979
"power unit"	0.0516293
multinationals	0.0513524
refiner	0.0511095
Porgy	0.0507893
"business leader"	0.0507198
petitioner	0.0505798
"City Opera"	0.0505684
"African Economic Community"	0.0504333
"Beijing Opera"	0.0504037
businesswomen	0.0503972
"Internet Service Providers"	0.050342
"core group"	0.0503394
"National Gambling Impact Study Commission"	0.0502647
"subsidiary company"	0.0502103
"musical performance"	0.0501984
"equity market"	0.050064
"civic leader"	0.0500261
taskforce	0.0499512
"semiconductor maker"	0.0499232
ethicists	0.0498666
"Hollywood studio"	0.0498522
"House Budget Committee"	0.0497302
headliners	0.0494285
modernist	0.0492309
"food company"	0.0489125
musicologist	0.0487573
miler	0.0487349
sherpas	0.0487111
"research center"	0.0485538
"business establishment"	0.0485261
"retail chain"	0.0483363
"stage director"	0.0481296
autoworkers	0.0480294
PTA	0.0480122
"folk music"	0.0479602
"Boston Pops"	0.0479251
"San Franciscans"	0.0478415
"science museum"	0.0477226
"lynch mob"	0.0474307
bagpiper	0.0473992
"District Council"	0.0473809
closers	0.0473801
vaudevillian	0.0472666
"educational institution"	0.0472163
"auto maker"	0.0472153
"art school"	0.0471377
"Berlin Philharmonic"	0.047137
"ad agency"	0.0468693
automakers	0.0467801
"Baby Bells"	0.0467417
"movie studio"	0.0466952
"software maker"	0.0466404
ISPs	0.0463678
"Peace Corps"	0.0462655
"medical center"	0.0461916
varietals	0.0461614
"black person"	0.046156
quarterfinalists	0.0461155
"defense contractor"	0.0460574
"volleyball player"	0.0460004
"advertising agency"	0.0459947
"leading lady"	0.0459456
vaulter	0.0459362
"Southern Democrats"	0.0456563
preservationists	0.0456105
subgroup	0.0455974
Dido	0.0455538
"growth industry"	0.0454688
"insurance firm"	0.0453412
"religious order"	0.0452904
aquarium	0.0452723
"Monetary Policy Committee"	0.0452688
greats	0.0451614
EBRD	0.0450797
"landscape architect"	0.0450671
coven	0.0449989
"retail store"	0.0449216
ASO	0.0448825
dramatist	0.044873
quintet	0.044811
"employment agency"	0.0447755
transnationals	0.0445626
"dance band"	0.0444956
QBs	0.0444737
granary	0.044365
skyscraper	0.0443529
Highness	0.04432
statesmen	0.0442248
thespian	0.0442222
"trucking company"	0.0441558
"opera star"	0.0441122
"Andean Group"	0.044059
"American Legion"	0.0440033
"planning commission"	0.0439797
choreographer	0.0439347
"newspaper publisher"	0.0439313
"car maker"	0.0438735
))
("ballet dancer" (desc 3197.44) (sims
dancer	0.117829
"belly dancer"	0.108695
"police lieutenant"	0.104866
ballerina	0.104776
"chess player"	0.102585
acrobat	0.101247
"fashion model"	0.0982871
instrumentalist	0.0978953
"opera star"	0.096967
"jazz musician"	0.0954252
"volleyball player"	0.0902382
violinist	0.0884535
cabinetmaker	0.0884408
"stage director"	0.0881987
councilwoman	0.0847541
"symphony orchestra"	0.0840095
"tennis player"	0.0798499
pianist	0.0795587
entertainer	0.0788117
fencer	0.0786903
choreographer	0.0785696
cellist	0.0785643
"guitar player"	0.0769874
bullfighter	0.0766089
newspaperman	0.0760543
miler	0.0743109
singer-songwriters	0.0730471
"movie star"	0.0727814
optometrist	0.0723651
juggler	0.072341
"good person"	0.0723087
"foreign service officer"	0.0719584
soloist	0.0712501
"leading lady"	0.0701649
sportswriter	0.0698343
vaulter	0.0697296
"television star"	0.0696566
"hockey player"	0.0696242
"folk singer"	0.0695518
marathoner	0.0693496
"landscape architect"	0.0689243
gymnast	0.0684675
"big leaguer"	0.068163
"literary agent"	0.0677942
exterminator	0.0673505
bodybuilder	0.0672446
vocalist	0.0671657
highflier	0.0659309
stuntman	0.0658666
racehorse	0.065575
ballplayer	0.0651854
"character actor"	0.0649336
supermodel	0.0642008
"fashion designer"	0.0641311
"guardian angel"	0.0636574
animators	0.0635444
"police sergeant"	0.0633591
"Bob Fosse"	0.06312
songwriter	0.0626157
storyteller	0.0621931
"police captain"	0.0619029
deejays	0.0618171
"hockey coach"	0.0615388
DJ	0.0613053
beautician	0.0612944
rower	0.06106
"race horse"	0.0610525
"film star"	0.0609219
bagpiper	0.0608412
"dead person"	0.0608158
"musical group"	0.0607521
"music teacher"	0.0607462
mezzo-soprano	0.0607384
philanthropist	0.0601683
organist	0.0601233
"disc jockey"	0.0599083
"opera company"	0.0598281
triathletes	0.0598178
virtuoso	0.0591089
"pirate ship"	0.0588544
alderman	0.0587992
"registered nurse"	0.0587304
arranger	0.0586573
decorator	0.0586572
puppeteer	0.0585747
comedian	0.058445
conductor	0.0582874
Pol	0.0578161
stripper	0.0577291
"math teacher"	0.0576262
skater	0.057486
"two pitchers"	0.0573949
lexicographer	0.0573442
cabdriver	0.057276
Playwright	0.0572244
firefighter	0.0571624
landscaper	0.0569299
prizefighter	0.0568021
enlistee	0.056668
"pole vaulter"	0.0563216
"school teacher"	0.0560511
magician	0.0560478
"plastic surgeon"	0.0558425
parachutist	0.055787
"press agent"	0.0557807
"basketball player"	0.0557801
triathlete	0.055735
Olympian	0.0557293
transvestite	0.0555833
"au pair"	0.055551
racer	0.0555219
"matinee idol"	0.0554908
thinker	0.055418
scriptwriter	0.0552722
Litigator	0.054957
"little leaguer"	0.0548814
recluse	0.0548136
lyricist	0.05472
humorist	0.0546925
drummer	0.0546612
lifeguard	0.0546499
"divorce lawyer"	0.0543804
seminarian	0.0542546
stylist	0.0542047
"black person"	0.0541232
"certified public accountant"	0.0539871
"ballet company"	0.0537998
mime	0.0537582
"jazz band"	0.0537577
sportscaster	0.0537518
rappers	0.053677
"baseball player"	0.0534711
keyboardist	0.0534553
fireman	0.0533176
"community organizer"	0.0531332
student-athletes	0.0530741
musicologist	0.0530587
rapper	0.0530493
cardiologist	0.0529831
"art historian"	0.052878
paralegal	0.0528444
goaltenders	0.0526571
claimer	0.0526521
sommelier	0.0522743
businesswoman	0.052207
rebounders	0.0521483
"exotic dancer"	0.0519757
clarinetist	0.0519048
groupie	0.0518357
"law student"	0.0516899
shipmate	0.051632
has-been	0.0514758
divorcee	0.0514228
guitarist	0.0514202
daredevil	0.0514083
schoolteacher	0.0513728
cartoonist	0.0513454
"chamber orchestra"	0.051329
skier	0.0513272
copywriter	0.0512464
"role player"	0.0511215
stockbroker	0.0511204
skateboarder	0.0511062
"talent agent"	0.0510657
wrestler	0.0510012
hurler	0.0509947
balloonist	0.0507882
thoroughbred	0.0507874
stallion	0.0507575
"track star"	0.0507322
nobleman	0.0507133
"electrical engineer"	0.0506016
paddler	0.050541
percussionist	0.0504401
"social worker"	0.050371
ingenue	0.0503486
"costume designer"	0.0503435
stewardess	0.0503019
techies	0.0502482
mafioso	0.0501199
sleuth	0.0500979
co-anchor	0.0500665
craftsman	0.0500619
metropolises	0.0500193
"public servant"	0.0500016
cyclist	0.0499663
presenter	0.0497812
mathematician	0.0496635
"stage manager"	0.0496481
"real estate broker"	0.0496094
hairdresser	0.0495572
lifter	0.0495147
"movie maker"	0.0494534
"eye doctor"	0.049451
immortal	0.0494043
infantryman	0.049315
vote-getters	0.0492483
"home builder"	0.0492468
"interior designer"	0.0491964
"music school"	0.0491863
))
("Ballet Theater" (desc 3047.42) (sims
"American Ballet Theater"	0.246014
"City Ballet"	0.194435
"New York City Ballet"	0.186418
"Royal Ballet"	0.18596
"City Opera"	0.175526
"New York City Opera"	0.168595
Bolshoi	0.140643
"Royal Shakespeare Company"	0.124569
"New York Philharmonic"	0.10186
Ailey	0.100451
"Roundabout Theater Company"	0.0971585
"Metropolitan Opera"	0.0967271
"Royal National Theater"	0.0961907
troupe	0.0949608
met	0.0935687
Balanchine	0.0926196
Kirov	0.088122
"Philadelphia Orchestra"	0.0866358
Nepa	0.0818111
"Mikhail Baryshnikov"	0.0770581
Baryshnikov	0.074426
ASO	0.0740645
Marketspan	0.0715918
Philharmonic	0.0703484
Guggenheim	0.0679816
"Whitney Museum"	0.0672627
"Boston Symphony Orchestra"	0.0659617
"silent movie"	0.065888
Bayreuth	0.064874
Spoleto	0.0646594
Kimbell	0.0644199
MFA	0.0623022
USTA	0.0613545
"ballet company"	0.0611684
"chorus line"	0.0609196
BSO	0.0602001
VFW	0.0596972
"Operation Rescue"	0.059458
NLRB	0.059283
"Martha Graham"	0.0590064
Whitney	0.0587451
"Senior PGA Tour"	0.0582238
ECW	0.0581368
roundabout	0.0572224
"Lincoln Center"	0.0569566
"secret society"	0.0569244
"Beijing Opera"	0.0567563
"La Scala"	0.0566291
"Media Lab"	0.055876
Tanglewood	0.0558541
WCW	0.0552038
ADL	0.0551726
"Boogie Nights"	0.0548355
"Museum of Natural History"	0.0547979
Fermilab	0.0545922
NAU	0.0545005
AOC	0.0541365
"Whitney Museum of American Art"	0.0541197
"Manhattan Theater Club"	0.0541034
Massport	0.0540113
"Peace Corps"	0.0540011
Sunbeam	0.0536626
flamenco	0.0536611
"cash crunch"	0.0531407
Nijinsky	0.0529492
NHRA	0.0529091
choir	0.0528792
WIPO	0.0527904
UNRWA	0.05238
Cavs	0.051761
USAID	0.0516813
striptease	0.0516689
"Atlanta Constitution"	0.0511422
Livent	0.0505837
"Lincoln Center Theater"	0.0504568
Festina	0.049424
Puente	0.0494101
Opry	0.0492628
"Fish and Wildlife Service"	0.0489794
NSA	0.0488267
"Army Air Corps"	0.0487404
C-USA	0.0486976
"American Red Cross"	0.0486649
"Time Inc."	0.0484678
Wiatt	0.0484542
"Hearst Corporation"	0.0481306
Tate	0.0479217
"Solomon R. Guggenheim Museum"	0.0477492
Soleil	0.0477018
Michelin	0.0476139
"Guggenheim Museum"	0.0476002
"Museum of Modern Art"	0.0475696
"Miami Dolphins"	0.0474536
Lucasfilm	0.0474367
WSU	0.0473416
"Special Olympics"	0.0471501
"musical theater"	0.0471286
"Detroit Lions"	0.0470292
cirque	0.0470045
"American Legion"	0.0469344
Lockwood	0.0468835
Post-Intelligencer	0.0467448
BLM	0.0467262
"jazz band"	0.0466168
"Peking Opera"	0.0465994
TAZARA	0.0462098
Farber	0.0461952
"Central Intelligence Agency"	0.0461791
"Symphony Hall"	0.0461041
cabaret	0.0460891
"Pittsburgh Steelers"	0.0459839
"Houston Oilers"	0.0458594
YankeeNets	0.0457841
"Paul Taylor"	0.0456937
"Legal Aid Society"	0.0456911
"Public Theater"	0.0456005
Highbury	0.0455439
ACLU	0.0454626
"Woods Hole"	0.0450905
"McKinsey &AMP; Co."	0.0449735
"Grand Ole Opry"	0.0449508
"Philadelphia Flyers"	0.0449387
Gielgud	0.0448452
"Alcoholics Anonymous"	0.0448314
Blackhawks	0.0447148
Oakmont	0.044712
Degas	0.044691
"German language"	0.0446387
EDS	0.0445127
SEPA	0.0443592
"Carnegie Hall"	0.0442467
"art teacher"	0.0441644
"Brooklyn Dodgers"	0.0441126
"Fordham University"	0.043998
"Xinhua News Agency Hong Kong Branch"	0.0439013
"National Theater"	0.0438934
endocrinology	0.0438574
"International Rescue Committee"	0.0437246
"Nevada-Las Vegas"	0.0435862
REVLON	0.0435812
"Akira Kurosawa"	0.0433333
"Brooklyn Academy of Music"	0.043297
Dennehy	0.0432079
Riverdance	0.0431268
"High Museum of Art"	0.0430994
SLOC	0.0430764
"Radio City Music Hall"	0.0430047
WWF	0.0428675
Marsalis	0.0427822
Matthau	0.0426139
"LPGA Tour"	0.0425331
Quintero	0.0424256
MSF	0.0423686
UPU	0.042309
UGA	0.042274
Hula	0.0421825
"Texas Air National Guard"	0.0420988
ATC	0.0419695
"University of Georgia"	0.0419281
encore	0.0418977
Dartmouth	0.0418946
"League of Nations"	0.0417862
"Silicon Graphics"	0.0417761
adobe	0.0417662
PSG	0.0417416
"Kinder Bologna"	0.0415605
"Cleveland Browns"	0.0414312
TDB	0.041339
"Simon Wiesenthal Center"	0.0413377
Raitt	0.0413354
Livermore	0.041291
Pemex	0.0412431
Broderbund	0.0412402
acrobat	0.041213
"Juilliard School"	0.0411985
Texaco	0.0411835
"George E. Pataki"	0.0411569
"Price Waterhouse"	0.0411315
"Lincoln Center Festival"	0.0410859
"music hall"	0.0408959
"Royal Canadian Mounted Police"	0.0408244
"Conde Nast"	0.0407712
"European Community"	0.0406159
"Dallas Mavericks"	0.0405404
NAACP	0.0405153
"Mormon Church"	0.0404748
ILO	0.0404542
ICA	0.04027
"United Auto Workers"	0.0402623
"American Association of Retired Persons"	0.0402394
"Royal Opera House"	0.0402392
"National Hurricane Center"	0.0402223
Halliburton	0.0401779
"New York Giants"	0.0401687
"Night Live"	0.0400639
"Winning Colors"	0.0400267
China.com	0.0400137
))
(ballgame (desc 6291.53) (sims
"ball game"	0.259937
ballgames	0.182858
"hockey game"	0.101011
"frame of mind"	0.100275
"ball club"	0.0993556
"baseball game"	0.0954534
game.	0.0912191
ballclub	0.0845069
"round of golf"	0.082405
"big game"	0.0779219
"waiting game"	0.0746305
"good shape"	0.0744099
"basketball game"	0.0702762
"Game @."	0.0694987
"dark ages"	0.0694691
groove	0.0692566
"line of work"	0.0682563
year.	0.0682462
"morale booster"	0.0668667
mindset	0.0663287
tie-break	0.0658375
dogfight	0.065398
tiebreaker	0.0651637
nightcap	0.0650545
"piece of music"	0.0646979
"day game"	0.0640208
postseason	0.0639148
heartbreaker	0.0635036
"piece of work"	0.0632406
"numbers game"	0.0622108
preseason	0.0620435
no-hitter	0.0618308
"batter's box"	0.061171
"game plan"	0.0608637
"baseball season"	0.0603916
clincher	0.0601929
ballplayer	0.0599063
slugfest	0.0597472
"AFC Championship Game"	0.0595664
Ballpark	0.0593773
"voting booth"	0.0592379
"chess game"	0.0588869
duel	0.057271
"football season"	0.0571519
at-bat	0.0565123
"exhibition season"	0.0561623
"road game"	0.0558046
"All-Star Game"	0.0554323
"Super Bowl"	0.0551772
continuum	0.0549432
"hole in the ground"	0.0549273
"third period"	0.0548909
"won-lost record"	0.0546532
"playoff game"	0.0545337
"first period"	0.0541529
"away game"	0.0540787
"winner's circle"	0.0535604
"spring training"	0.0533358
"NCAA Tournament"	0.0532578
outfield	0.0531874
"night game"	0.0528999
okay	0.0528497
post-season	0.0527207
"World Series"	0.0525758
"work day"	0.0523104
"race car"	0.0521492
"foster home"	0.0517859
contention	0.0516849
letdown	0.0516342
"triple play"	0.0515853
go-round	0.0515517
"perfect game"	0.0515314
NCAAs	0.0514994
"Top @@"	0.0514069
harder	0.0514064
"state of mind"	0.0511503
"line of products"	0.0511345
"center field"	0.0511051
"next one"	0.0511025
"Subway Series"	0.0506999
Catch-@@	0.0505695
Series.	0.0504608
"academic year"	0.050458
"good story"	0.0504131
"Fiesta Bowl"	0.05035
rotation	0.0501697
timeout	0.0500295
no-brainer	0.0498924
baserunner	0.0498629
"NFC Championship Game"	0.0498613
gal	0.0497752
sandbox	0.0497581
epoch	0.0497085
"business cycle"	0.049581
outing	0.0495084
"penalty box"	0.0494712
faceoffs	0.0493998
scrimmage	0.0492911
"shell game"	0.0492716
"football team"	0.0492058
spanking	0.0489714
matchup	0.0489159
Vega	0.0489115
team.	0.0487314
rainout	0.0486874
copout	0.0483305
knuckleball	0.0482778
insulator	0.0482287
sinker	0.0481819
whipping	0.0480881
"home game"	0.0480107
Nn	0.0478981
subconscious	0.0478303
"horse race"	0.0476687
"popularity contest"	0.0476524
matinee	0.0475216
"exhibition game"	0.0474277
"Super Bowls"	0.0473808
Serie	0.0471455
"deposit box"	0.0470623
warmup	0.0470574
mind-set	0.047047
Towns	0.0468564
"left field"	0.0468065
"right field"	0.046773
pleaser	0.046736
"Western Open"	0.0467153
bullpen	0.0467143
"professional life"	0.046648
"track meet"	0.0466347
"Ryder Cups"	0.0465419
lather	0.0465302
fella	0.0464304
"breaking ball"	0.0463927
"measuring stick"	0.0462935
"golf game"	0.0461173
curveball	0.0460943
"support system"	0.0460035
"NBA Finals"	0.0459963
"final period"	0.0459383
marathon	0.0459333
"order of business"	0.0459276
"bottom of the inning"	0.0458339
"car race"	0.0457968
"law of the land"	0.0456515
imp	0.0456355
cakewalk	0.0454475
dugout	0.0454397
fairway	0.0454377
"eye opener"	0.0453868
playlist	0.0453498
"first eight"	0.0451094
changeup	0.0450755
match-ups	0.0449121
"boxing ring"	0.0449107
"test match"	0.0449065
"minor league"	0.0449046
"frame of reference"	0.0448471
doghouse	0.0447984
"extra time"	0.0447607
"Western Athletic Conference"	0.0447439
"All-Star Games"	0.0447251
stat	0.0446475
things	0.0446416
blowout	0.0445714
"extra inning"	0.0444701
"presidential term"	0.0443563
nonconference	0.0443415
expletive	0.0443348
pitching	0.0442152
racetrack	0.044152
"oil business"	0.0441279
"pass catcher"	0.0440944
"growing season"	0.0439294
"New York City Marathon"	0.0438947
backyard	0.0438908
"Games @"	0.0438319
homestand	0.043793
easier	0.043782
zinger	0.0437683
"big league"	0.0436756
shocker	0.0436341
stinker	0.0435964
"reception room"	0.0435351
"dressing room"	0.0434802
"second tour"	0.0434573
shutout	0.0434331
dribbler	0.0433011
pro-am	0.0432443
"major league season"	0.0432361
butt	0.0431659
coaching	0.0431181
"high time"	0.0431095
games.	0.0430698
"hockey player"	0.0430631
"poker game"	0.0429998
shootout	0.0429963
"Round @"	0.0429551
knucklehead	0.0429291
shindig	0.0429073
))
(ballgames (desc 2095.67) (sims
"ball game"	0.185147
ballgame	0.182858
faceoffs	0.130649
curveballs	0.12035
"Ryder Cups"	0.117383
pluses	0.106211
"Final Fours"	0.105522
changeups	0.0936006
games.	0.0930166
"Gold Gloves"	0.0919469
"PGA Championships"	0.0912112
ifs	0.0903046
"All-Star Games"	0.087965
"British Opens"	0.087902
firsts	0.0872865
"basketball game"	0.087108
"Cy Young Awards"	0.0868798
"hockey game"	0.0848187
"extra points"	0.0838505
"heavy hitter"	0.0815263
Christmases	0.0808857
"hundred thousand"	0.079806
Emmys	0.0781134
"beauty shop"	0.076113
Opens	0.0757899
"close call"	0.0743383
Series.	0.073728
"United States Open"	0.0731163
zingers	0.072509
"Pulitzer Prizes"	0.0724894
"breathing space"	0.072105
Irishmen	0.0720904
"elbow room"	0.072017
"role player"	0.0717443
"hundred million dollars"	0.0716116
"Stanley Cups"	0.0715186
celebs	0.070684
millennia	0.0698928
starts.	0.0698149
"Super Bowls"	0.0696684
QBs	0.069381
things	0.0691906
hypotheses	0.069086
"detective work"	0.0689926
Advil	0.0687538
layups	0.0686557
"hundred thousand dollars"	0.068146
"loose end"	0.0676509
keystrokes	0.0675228
"breathing room"	0.0672783
multimillionaires	0.067125
Tonys	0.0669367
tenths	0.0668645
"word of advice"	0.0666701
seasons.	0.0662335
moxie	0.0653092
"day game"	0.0652856
"major-league team"	0.0649171
"baseball game"	0.0647874
"test match"	0.0641845
years.	0.0640864
"supporting players"	0.0635241
imp	0.0633822
doubter	0.0632642
"U.S. Opens"	0.0630528
"chamber music"	0.0628041
Grammys	0.0627678
"hanky panky"	0.0626508
quarterfinalists	0.0625729
"popularity contest"	0.0624607
"softball game"	0.0622727
postseasons	0.0621718
"dance step"	0.0616461
give-and-take	0.0614412
"Games @"	0.0609216
fundraisers	0.0606563
freebies	0.0604501
"Emmy Awards"	0.0602741
yea	0.0597906
downtime	0.0597416
composure	0.0596224
concertgoers	0.0596173
matchups	0.0596079
timeouts	0.059296
oomph	0.0591661
straggler	0.0591592
"big game"	0.0587725
"breaking ball"	0.0587284
playmakers	0.0585611
Ghanaians	0.0585002
Frenchmen	0.0584085
Maurier	0.0584027
"away game"	0.0583355
caveat	0.0581385
"great year"	0.057799
flak	0.057621
"drop shot"	0.0575021
"road game"	0.0574011
highflier	0.0572962
old-timer	0.057167
"big shot"	0.0564787
"jam session"	0.0564724
runnings	0.05615
"New York Democrats"	0.0561292
"ball club"	0.056073
"personal relation"	0.0557412
All-Americans	0.0556422
here.	0.055537
"next one"	0.0549703
tannin	0.0548583
fella	0.0548498
"social event"	0.0548241
"ski race"	0.0547969
"foot traffic"	0.0547139
Atlantans	0.054581
near-misses	0.0542678
bleep	0.0542202
"World Cups"	0.0542025
"off-speed pitch"	0.0541269
"extracurricular activity"	0.0539252
"Pro Bowls"	0.0538521
Picassos	0.0537959
knucklehead	0.0534057
"benefit program"	0.053303
abortionist	0.0532152
great-grandchildren	0.0532144
"foul ball"	0.0529668
bloke	0.0527256
sledding	0.0527129
"frame of mind"	0.0526263
plaudit	0.0526008
spunk	0.0523358
goaltenders	0.0523208
"Solheim Cup"	0.0521885
Dutchmen	0.0521416
Legos	0.0521401
Porsches	0.0519408
determinations	0.051901
nightspots	0.0513141
"background noise"	0.0513116
rep	0.0510172
"bicycle race"	0.0509859
"passing shot"	0.0505424
"natural ability"	0.050374
"positive feedback"	0.0502782
outs	0.0502618
heartache	0.0502321
smooch	0.0502208
"Sudirman Cup"	0.0501692
"musical performance"	0.0501392
major-leaguers	0.0500484
weirdo	0.0500106
jig	0.04991
"hundred dollars"	0.0497985
e-tailers	0.049776
half-point	0.0496207
Chevys	0.0495935
Kansan	0.0495654
"Orthodox Jews"	0.0495421
Chinese-Indonesians	0.0494156
syllable	0.0490568
deejays	0.0489694
mushers	0.048893
ribbing	0.0485377
ballplayer	0.0483889
"major league season"	0.0483185
"honorable mention"	0.0482555
no-decisions	0.0482329
game.	0.0482196
irons	0.0482105
"waiting game"	0.0481107
stanza	0.0481095
downs	0.0480588
Chicagoans	0.0480556
cookout	0.0479932
circuses	0.0478923
hand-holding	0.047887
pep	0.047836
ammo	0.0475863
"San Franciscans"	0.0474295
"Cup Juvenile"	0.0474243
"people of color"	0.0473019
regular-season	0.0472053
"running play"	0.0471252
ballclub	0.0470815
"Emmy Award"	0.0470232
intangible	0.0469645
"Home Run Derby"	0.0469529
monies	0.0469502
"Euro @@@@"	0.0469043
accolade	0.04665
Ecuadoreans	0.0466359
Creationists	0.0466352
pizazz	0.0465422
REITs	0.0465007
hang-up	0.0463882
"food shop"	0.0462476
nonconference	0.0462025
vibes	0.0461576
detractor	0.0461452
))
("ballistic missile" (desc 19542.9) (sims
missile	0.303428
"intercontinental ballistic missile"	0.232291
"nuclear weapon"	0.168502
ICBM	0.158834
warhead	0.147586
rocket	0.141453
"surface-to-air missile"	0.136699
"nuclear warhead"	0.136346
"neutron bomb"	0.12537
interceptor	0.118454
"air-to-air missile"	0.115049
launcher	0.113116
weapon	0.104122
"guided missile"	0.100473
"rocket launcher"	0.0999527
torpedo	0.0972375
"weapons system"	0.0947498
Nuke	0.0934491
weaponry	0.0923425
"fighter aircraft"	0.0921342
Scud	0.0903034
Satellite	0.0888274
"communications satellite"	0.0885946
submarine	0.0885574
artillery	0.0853747
Tomahawk	0.0838813
silo	0.0821052
bomber	0.0803726
"chemical warfare"	0.0792388
aircraft	0.0790246
"missile defense system"	0.0789681
spacecraft	0.0787861
"atom bomb"	0.0780196
"biological warfare"	0.0770588
germ	0.0764526
radar	0.0760701
"poison gas"	0.0759816
bomb	0.0749691
test-firing	0.0747442
"space vehicle"	0.0739482
"booster rocket"	0.0738208
"atomic bomb"	0.0727803
warplane	0.0721919
"hydrogen bomb"	0.0716387
NMD	0.0696811
"machine gun"	0.0690182
warplanes	0.0679308
"heavy weapon"	0.0672032
"meteorological satellite"	0.0668922
projectile	0.0661652
"thermonuclear warhead"	0.0660757
S-@@@	0.0659468
"National Missile Defense"	0.0656782
laser	0.0652645
armament	0.0641571
"nuclear explosion"	0.0638066
warship	0.0635291
"air defense"	0.0628398
"military capability"	0.0627394
"explosive device"	0.0624847
stockpile	0.0618297
fighter-bombers	0.0611569
"spy satellite"	0.0609954
rifle	0.0605002
Grenade	0.0599583
gun	0.0584006
munition	0.0581015
"defense system"	0.0577125
prototype	0.0572448
"nuclear-powered submarine"	0.0572102
gunship	0.0571618
cannon	0.0570098
"weapon system"	0.0569625
machine-guns	0.0566019
"nuclear power"	0.0565212
telescope	0.0564111
"nerve gas"	0.0560952
chemical	0.0560291
"nuclear reactor"	0.0559023
device	0.0557311
decoy	0.0556645
reactor	0.05566
destroyer	0.055447
explosive	0.0553026
howitzer	0.055218
helicopter	0.0550482
SA-@	0.0549067
Arsenal	0.0548977
"fuel cell"	0.0545975
"hand grenade"	0.0536926
sensor	0.0536914
frigate	0.0534874
"chemical agent"	0.0533917
W-@@	0.0532897
"automatic rifle"	0.0531634
SDH	0.0528793
mortar	0.0527045
tank	0.0525329
capability	0.0522886
firearm	0.0519501
"electronic warfare"	0.0516796
"aircraft carrier"	0.0516744
"rocket engine"	0.0515333
THAAD	0.0513007
MiGs	0.0510384
virus	0.0508644
payload	0.0506796
TMD	0.0504892
X-@@	0.0504574
CDMA	0.0502765
"military force"	0.0502544
vessel	0.0501532
Robot	0.0501269
"germ warfare"	0.0499698
shuttle	0.0499495
MiG-@@	0.0496459
Trident	0.0495837
spaceship	0.0494586
contraband	0.0492382
"propulsion system"	0.0492259
shield	0.0491287
"container ship"	0.04892
avionics	0.0488506
"patrol boat"	0.0486617
materiel	0.048147
arrow	0.0481091
"optical fiber"	0.0480834
A@@@	0.0475494
antibody	0.0473703
"Windows @@@@"	0.0472139
Zvezda	0.0471991
"telephone network"	0.0471295
speedboat	0.0471023
know-how	0.0470169
A@@@-@@@	0.0468709
Vaccine	0.0466243
handgun	0.0466203
asteroid	0.0462876
GPS	0.0462605
terrorism	0.0462487
B-@@	0.0455625
jetliner	0.0454866
"European Monetary Union"	0.0454488
landmines	0.0453612
"American plane"	0.0452533
airplane	0.0452168
hardware	0.0451478
"land mine"	0.045087
"nuclear energy"	0.0449657
"tear gas"	0.0448838
terrorist	0.0448447
"North Korean"	0.0447169
"air attack"	0.0447093
F-@@	0.044553
microprocessor	0.0445265
"personnel carrier"	0.0443437
pistol	0.0442249
"air bag"	0.0441881
sonar	0.0439925
balloon	0.0438627
A@XX	0.0437642
Proton	0.0434298
deterrence	0.043412
module	0.043347
GSM	0.0433406
warfare	0.0431578
"air-to-surface missile"	0.0430645
locomotive	0.0429209
"computer network"	0.042864
"space probe"	0.0428431
hovercraft	0.0426382
canister	0.0425892
detonation	0.0423981
"communication system"	0.0422697
ammunition	0.0418809
"software product"	0.0418022
"production line"	0.0416124
endeavour	0.0415823
MKO	0.0415743
anthrax	0.0415634
launching	0.0414257
"military vehicle"	0.0412676
spaceflight	0.0411017
scanner	0.0410199
"naval forces"	0.0410063
"power plant"	0.0407257
deterrent	0.0406908
"power grid"	0.0406854
tanker	0.0405965
"Free Trade Area"	0.0404396
"cellular phone"	0.0402935
electronics	0.0401889
gunboat	0.0401202
invasion	0.0400222
))
(Ballmer (desc 3341.02) (sims
Duisenberg	0.124544
Zadornov	0.118421
Wagoner	0.114289
Venables	0.11294
Kerik	0.11124
Sergeyev	0.11045
"Steve Ballmer"	0.109298
Sassa	0.108765
Demaci	0.108521
Karmazin	0.107701
Daft	0.103734
Greenberg	0.103359
Ruehe	0.103019
Barad	0.0989766
Iger	0.0978035
Moratinos	0.0968511
ROMNEY	0.0968194
Camdessus	0.0968106
Kasyanov	0.0968078
Fiorina	0.0958411
D'Alessandro	0.0954805
Seleznyov	0.0953181
Eizenstat	0.0942708
Hauser	0.0930894
Scharping	0.0925472
Tsang	0.0923761
Moonves	0.0921844
Layden	0.0921188
Ivester	0.0916915
Klein	0.0914081
Mandelson	0.0907626
Milutinovic	0.0904749
Beazley	0.0903047
LaPierre	0.0902245
Ralston	0.0898081
Montiel	0.0896335
Andreessen	0.0895877
Nasrallah	0.0895808
Rodionov	0.0888755
Yosef	0.0884987
Brazile	0.0882418
Eisner	0.0880798
Pearce	0.0879266
Advani	0.0871436
Koehler	0.086688
Kouchner	0.0861446
Jovanovic	0.0860178
Ciampi	0.0856628
Bulatovic	0.0856565
Ruggiero	0.0856334
Podesta	0.0848248
Ebersol	0.084709
Blatter	0.0844524
Glaser	0.0843738
Hodler	0.0843504
Noboa	0.083981
Schaeuble	0.0837837
Naumann	0.0833614
Vogel	0.0828556
Gullit	0.0828367
Joklik	0.0827298
Zarb	0.0821295
Zimmer	0.0819395
Yastrzhembsky	0.0816041
Marineau	0.0815079
Samaranch	0.0813289
Connerly	0.081287
Bronfman	0.0810586
Shevardnadze	0.0809855
Nebiolo	0.0809547
Kyprianou	0.0808172
Tran	0.0807413
Leyland	0.0805597
Brister	0.0803966
Pearson	0.0803964
Robertson	0.0803801
"Michael Dell"	0.0802896
Stepashin	0.0802667
Rifkind	0.0801344
Nzo	0.0800021
Levitt	0.0795022
Jayakumar	0.0794644
Zucker	0.0794436
Koop	0.0791988
Tevanian	0.0790242
Ivanov	0.0788282
Reimer	0.0786791
Mfume	0.0785808
Sumaye	0.0782622
Fyodorov	0.0780925
Prewitt	0.0778804
Verniero	0.0777139
Michel	0.0776614
Kornberg	0.0774239
Singson	0.0773288
Kennard	0.0772049
Condit	0.0772008
Charest	0.076957
Orban	0.0768524
Aoki	0.0768341
Fischer	0.0766466
Garvey	0.0766221
Zuma	0.0765608
MIYAZAWA	0.0765598
Dodik	0.0763615
Azizah	0.0762506
Shipley	0.0761478
Nemtsov	0.0761024
Daley	0.0758481
Barksdale	0.075518
Wolfson	0.0754256
McCurry	0.0754104
Soros	0.0753177
Sharon	0.0752482
Paxon	0.075158
Penders	0.0750735
Ishihara	0.0748866
Kajiyama	0.0748769
Ebbers	0.0748755
Finkel	0.0748665
Tobin	0.0748035
"Al Fayed"	0.074666
Lasorda	0.0743785
Wetherell	0.0742796
Havelange	0.0741989
Falk	0.0738919
Skiles	0.0738069
Hybl	0.0737543
Velayati	0.0735781
Lockhart	0.0733798
Galvin	0.0733769
BURNHAM	0.0733065
Malu	0.0732055
Menem	0.0731836
Alderson	0.0731114
Denktash	0.0730554
Stahl	0.0730508
Mbeki	0.073025
Sharaa	0.0729163
Hunsicker	0.0727779
Isner	0.0727743
DIMON	0.0727387
"George Speight"	0.072721
Fraga	0.0726576
Myhrvold	0.0724849
Grasso	0.0723937
Melinda	0.0723839
Giordano	0.0722522
Khamenei	0.0721815
Klestil	0.0721774
Hindery	0.0721324
Hamid	0.0721305
Goldin	0.0719144
khan	0.0716297
Luzhkov	0.071609
Aziz	0.0715057
Rothenberg	0.0712328
Esrey	0.0711173
Beckenbauer	0.0710847
Nakata	0.0709649
Beilin	0.0708625
Hastert	0.0706815
Maldini	0.0705959
Farrakhan	0.070592
Shahak	0.0704341
Maritz	0.0703386
"Michael Skakel"	0.0703331
Maslyukov	0.0702918
Tarawneh	0.0702056
Harmoko	0.0700661
Levin	0.069966
Severino	0.0697788
Kharrazi	0.0697697
Mineta	0.0696815
Rubin	0.0695553
Guthridge	0.0695058
Ecevit	0.0695025
Chubais	0.0694897
Pangalos	0.0693539
Goossen	0.0693081
"administration official"	0.0693058
Gifford	0.0692565
Keady	0.0688603
Gurirab	0.0688215
Kearin	0.0688109
Kinkel	0.0687747
Rossotti	0.0686561
Betts	0.0685913
Barrett	0.0685684
Wolfensohn	0.0684466
McAuliffe	0.0681697
Waigel	0.0681663
Sakakibara	0.06801
Alatas	0.067989
Carlson	0.067895
Romer	0.067852
Byrne	0.067807
Barshefsky	0.067677
Ozawa	0.0676712
Gates	0.0676345
))
(balloon (desc 45872.9) (sims
streamer	0.141311
"hot-air balloon"	0.131946
bunting	0.10821
banner	0.104306
confetti	0.103426
lantern	0.101345
flower	0.0994618
flag	0.0915277
ribbon	0.0885789
airplane	0.0856492
spacecraft	0.0832537
carnation	0.0825784
poster	0.0821415
candle	0.0802575
bead	0.0794269
helicopter	0.0792921
blimp	0.0791979
craft	0.0786377
"teddy bear"	0.0774838
plane	0.0771607
boat	0.0750944
capsule	0.0732851
placard	0.0728119
aircraft	0.0726983
Fossett	0.0700783
bubble	0.0697404
shuttle	0.0695819
hat	0.0694074
wreath	0.0687161
"national flag"	0.0686852
Learjet	0.0685897
firework	0.0685254
tube	0.0684763
sticker	0.0680112
ship	0.0678114
Kite	0.0673226
vessel	0.0672143
T-shirt	0.0662229
balloonist	0.0657338
bag	0.0641033
curtain	0.063996
billboard	0.0638898
tanker	0.0638522
plastic	0.0637407
bottle	0.0636143
Crane	0.0630697
parachute	0.063023
float	0.0628589
submarine	0.062632
truck	0.0625801
glider	0.0625206
scarf	0.0622451
rocket	0.0621789
tank	0.0620311
sailboat	0.0610856
decoy	0.0608108
bouquet	0.0606205
logo	0.060585
light	0.0605612
Satellite	0.0604687
box	0.0601906
spaceship	0.0601355
jet	0.0593925
neon	0.0593921
"soccer ball"	0.059043
tree	0.0589642
cloud	0.0587569
jersey	0.0584784
Tower	0.0583949
missile	0.0583144
canister	0.0582073
lamp	0.0580221
jetliner	0.0580106
chopper	0.0579632
object	0.0579437
biplane	0.0577034
statue	0.0576344
laser	0.0576155
train	0.0571644
projectile	0.0570727
brick	0.0569503
stone	0.0568174
ball	0.0566014
car	0.0565495
shirt	0.0564977
plume	0.056451
pin	0.0561553
doll	0.0561128
sculpture	0.0560022
tile	0.0559346
crosse	0.0558728
firecracker	0.055731
"tennis ball"	0.0553719
container	0.055321
purple	0.0552949
red	0.0552851
button	0.0551586
helmet	0.0551045
glass	0.0548372
bird	0.0547933
vase	0.054668
costume	0.0546661
van	0.0544242
tent	0.0543343
snowflake	0.0543179
sweatshirt	0.054314
puppet	0.0543069
canoe	0.0542177
barge	0.0542095
"communications satellite"	0.0541679
toy	0.0540343
flare	0.0539113
pillow	0.053845
vehicle	0.0538014
ornament	0.0537494
"piece of paper"	0.0536919
backpack	0.0535652
mask	0.0535264
pipe	0.0534999
yacht	0.0533842
card	0.0533656
tire	0.053194
catheter	0.0531725
leaf	0.0531717
bus	0.053048
tractor	0.0530288
osprey	0.0529963
cutout	0.0526194
condom	0.0524685
chandelier	0.0524418
foliage	0.0523939
shoe	0.0523727
camera	0.0522582
"shopping bag"	0.0518926
Sash	0.0517376
cloth	0.0515776
blue	0.0514438
sheet	0.0512455
"cargo ship"	0.0511509
rock	0.0508977
sensor	0.0508434
tablecloth	0.0508155
airliner	0.0507904
bullet	0.0507879
feather	0.050778
antenna	0.0507625
animal	0.0507043
bow	0.0506346
blanket	0.0505972
envelope	0.0505835
endeavour	0.0504021
Shell	0.0503882
apron	0.0502796
fireball	0.0502323
dot	0.0500507
suitcase	0.0500416
bicycle	0.049997
mirror	0.0498664
bulb	0.0498114
jacket	0.049772
kayak	0.0496632
drum	0.0496616
fabric	0.0496174
robe	0.0495351
blossom	0.0494678
gondola	0.04937
candy	0.0493637
Coin	0.0493627
scaffold	0.0493548
vest	0.0493203
Yellow	0.049285
stripe	0.0492288
device	0.0492238
"Ferris wheel"	0.0491172
warhead	0.0491102
bomb	0.0490469
decoration	0.0489961
debris	0.0488039
pigment	0.048796
color	0.0486984
jeep	0.0486282
scaffolding	0.0485294
particle	0.0483139
freighter	0.0481852
dinghy	0.0481705
picture	0.048088
dragon	0.0480862
mural	0.0480663
cylinder	0.0480522
shawl	0.0480337
champagne	0.0480201
badge	0.047936
plaque	0.047914
Robot	0.0478826
wig	0.0478624
module	0.0478593
tulip	0.0477446
ferry	0.0477263
packet	0.0477146
raft	0.0477086
))
(ballooning (desc 3980.51) (sims
widening	0.0954741
mounting	0.0915274
multibillion	0.070569
multimillion	0.06224
two-point	0.0572613
rowing	0.0553098
servicing	0.0552801
"current account"	0.0541376
swelling	0.0540312
N.Z	0.0537815
seven-point	0.05167
motoring	0.0513702
nine-point	0.0513509
five-point	0.0502859
eight-point	0.0496342
"paying back"	0.0484986
six-point	0.0479464
mountaineering	0.0474025
one-point	0.0470739
second-quarter	0.0466727
U.S.-Japan	0.0449849
four-point	0.0447698
childcare	0.0435721
"billion dollar"	0.0427688
"bank card"	0.0425894
"scuba diving"	0.0425136
amortization	0.0414825
FOREX	0.0410278
yearend	0.0408594
"balance of trade"	0.0406601
))
(balloonist (desc 4576.35) (sims
Fossett	0.146235
"Steve Fossett"	0.133965
adventurer	0.133648
yachtsman	0.125417
"Richard Branson"	0.107565
skydiver	0.0980201
"Brian Jones"	0.0956108
mountaineer	0.092762
climber	0.0878676
Uliassi	0.0850417
prizefighter	0.0829929
rower	0.081031
aviator	0.0796091
MiGs	0.0785233
"Bertrand Piccard"	0.0767868
racer	0.0734674
bullfighter	0.073346
parachutist	0.0725986
lifter	0.0725046
diver	0.0724557
sailor	0.0724335
cyclist	0.0714623
triathletes	0.0714061
cosmonaut	0.0712159
"major leaguer"	0.0707305
crewmembers	0.0705948
"scuba diver"	0.070415
"naval officer"	0.0699283
petitioner	0.0694981
Learjet	0.0692897
"major-league team"	0.0687005
Branson	0.0686198
stuntman	0.0684307
"ball club"	0.0670723
"Maria Mutola"	0.0666088
"volleyball player"	0.0665013
philanthropist	0.0664135
three-pointers	0.0663248
paddler	0.0657612
footballer	0.0655635
rescuer	0.065486
angler	0.0651679
astronaut	0.0648863
swimmer	0.0647762
baserunner	0.0640947
backpackers	0.0640751
gymnast	0.0638298
boater	0.0638154
cellist	0.0635686
violinist	0.0635186
hovercraft	0.0632849
"fire truck"	0.0632477
mainlanders	0.0629177
daredevil	0.0629073
skater	0.0626804
"North Africans"	0.0623195
"base runner"	0.0621209
battler	0.0620832
kayakers	0.0620474
vaulter	0.0619774
submariner	0.0618083
"registered nurse"	0.0617493
ballerina	0.0615514
fencer	0.0614303
skier	0.0610355
"test pilot"	0.0610144
co-pilot	0.0609739
searcher	0.060844
marathoner	0.0606747
jurist	0.0601338
weightlifter	0.0599924
airmen	0.0590226
buzzard	0.058815
"big leaguer"	0.058695
MiG-@@s	0.0583102
spacewalkers	0.0580451
sherpas	0.0579296
osprey	0.0578444
Frenchwoman	0.0577257
racehorse	0.0576575
hurler	0.0576059
sprinter	0.0573057
kayaker	0.0570348
mushers	0.0569139
"black person"	0.0568778
"first pitcher"	0.0566745
"ballet company"	0.056668
powerboat	0.0566372
minor-leaguers	0.0564414
bargainer	0.0564261
hiker	0.0563013
"trial balloon"	0.0562601
stockbroker	0.0561799
Seaman	0.056131
"opera star"	0.0560699
spacecraft	0.0560269
"army engineer"	0.0556703
minesweeper	0.0556382
prognosticator	0.0556294
"foreign service officer"	0.0554541
seafarer	0.0553062
Explorer	0.0550385
"medical specialist"	0.0550009
soliders	0.0549166
chaser	0.0546867
"Doug Walker"	0.0546074
statesmen	0.0545761
Spaniard	0.0544122
"Airbus @@@"	0.054344
handicapper	0.0542322
surfer	0.0542043
infantrymen	0.0541494
"Justin Rose"	0.0540461
golfer	0.0540078
"law officer"	0.0537574
"New Zealander"	0.0537388
archaeologist	0.0533851
Spadea	0.0531646
mathematician	0.0531594
Shackleton	0.0531536
metropolises	0.0530451
Autissier	0.0530163
"Dara Torres"	0.0530098
Frenchmen	0.0529582
"con artist"	0.0526417
Haitian	0.0525567
crewmates	0.0524806
Englishmen	0.0523771
"character actor"	0.0523476
"murder suspect"	0.0523079
dramatist	0.0522535
All-stars	0.0521532
oilmen	0.0520792
B-@s	0.0518923
colonist	0.0518483
Swede	0.051845
Maier	0.0517862
Norwegian	0.0516787
shipbuilder	0.0515542
flier	0.0514702
geologist	0.051344
paratrooper	0.0512565
medic	0.051167
Nepalese	0.0509566
firefighters	0.0509229
scalpers	0.0507941
"ballet dancer"	0.0507882
percussionist	0.0507365
stowaway	0.0507196
animator	0.0505954
marcher	0.0505787
statesman	0.0504634
Boller	0.0504341
crewmen	0.0504245
"No. @s"	0.0503294
Tanui	0.0502294
thoroughbred	0.0501473
bookie	0.0501447
linguist	0.0501288
physicist	0.0500892
miler	0.0500215
"American plane"	0.050011
"second person"	0.049962
Kurd	0.0498339
burglar	0.0498196
"electrical engineer"	0.0497104
"baseball player"	0.0496024
sculptor	0.0495498
Il-@@	0.0492455
debater	0.0492431
"track star"	0.0492082
"test-tube baby"	0.0492077
singer-songwriter	0.0491438
gunboat	0.0490502
"jazz musician"	0.0490262
financier	0.0489898
traveller	0.0489853
illustrator	0.0489778
singer-songwriters	0.0489507
"yacht race"	0.0489403
QBs	0.0488954
"military vehicle"	0.0488904
"Iwan Thomas"	0.0488725
Olympian	0.0487502
cager	0.0487353
"top dog"	0.0487127
"oil slick"	0.048694
"minor leaguer"	0.0486898
DC-@	0.0486795
Gi	0.0486607
"pen pal"	0.0486427
"little leaguer"	0.0486232
"tennis player"	0.0485986
albatross	0.0485217
astronomer	0.048466
frontrunners	0.0484631
"white knight"	0.04835
vacationer	0.0483248
shuttler	0.0483015
"Horned Frogs"	0.0482507
))
(ballot (desc 81257.1) (sims
vote	0.183541
balloting	0.173318
referendum	0.15055
voting	0.143018
election	0.136643
primary	0.12455
"absentee ballot"	0.121276
poll	0.119021
"general election"	0.116506
"primary election"	0.101169
voter	0.0969543
runoff	0.0964738
nomination	0.0960019
caucus	0.0930097
"ballot box"	0.0918283
contest	0.0902438
ticket	0.0865823
list	0.0849219
turnout	0.0822594
"open primary"	0.0787776
"polling station"	0.0763969
roster	0.0763232
race	0.0761485
constituency	0.0757894
registration	0.0741842
questionnaire	0.0737894
plebiscite	0.0714767
agenda	0.0710335
census	0.0709822
card	0.0708702
candidate	0.0708175
electorate	0.0705181
petition	0.0701165
debate	0.0692936
delegate	0.0690737
polling	0.068435
trial	0.0683895
"polling place"	0.0675101
"short list"	0.0674129
elector	0.0670853
meeting	0.0669181
campaign	0.0668026
Assembly	0.0667896
by-election	0.0666693
Roll	0.0662181
parliament	0.0655533
test	0.0655164
signature	0.0653105
hearing	0.0650243
document	0.0648166
campaigning	0.0646502
draft	0.0643385
lottery	0.0638106
"congressional district"	0.0631774
bill	0.0631581
candidacy	0.0629596
session	0.0629069
committee	0.0627531
board	0.0625458
seat	0.0620972
deadline	0.0618671
result	0.0617162
round	0.0611628
"election day"	0.060832
paper	0.0607138
"voter turnout"	0.0606572
panel	0.0604092
nominee	0.0601968
"senate race"	0.0595511
survey	0.0592808
page	0.0591951
Senate	0.0590449
decision	0.058618
letter	0.0585099
"governor's race"	0.058498
initiative	0.058341
reelection	0.0578725
process	0.0578358
convention	0.0576156
platform	0.0567097
application	0.0562009
copy	0.0561311
agreement	0.0560133
budget	0.0559912
"board meeting"	0.0559859
tally	0.0559286
summit	0.0559256
Congress	0.0559244
court	0.0558995
majority	0.0558148
membership	0.0556666
proceeding	0.0555996
calendar	0.0555809
party	0.0553683
auction	0.0553259
proposal	0.0552816
event	0.0551064
Knesset	0.0546642
negotiation	0.0543901
listing	0.0542768
envelope	0.0542078
withdrawal	0.0541487
procedure	0.0540208
amendment	0.0539368
law	0.0537697
bid	0.0534414
announcement	0.0533692
Republican	0.0531882
precinct	0.0531207
site	0.0529934
map	0.0527904
legislation	0.0527366
Exam	0.0527108
victory	0.0525973
legislature	0.0524415
date	0.0522658
job	0.0522623
choice	0.0522078
resolution	0.0521175
"House of Representatives"	0.0521071
competition	0.0520487
conference	0.0518553
"application form"	0.0518107
tour	0.0517772
abortion	0.0516535
menu	0.0515467
"birth certificate"	0.0514958
consideration	0.0514832
pullback	0.0513557
ceremony	0.0513219
stage	0.0511819
Mail	0.0510962
endorsement	0.0510731
approval	0.0510595
reform	0.0510026
check	0.0507255
"tax return"	0.0505786
consultation	0.0505427
sheet	0.0504948
selection	0.0504203
sample	0.0503121
registry	0.0501394
count	0.0501331
message	0.0501321
award	0.0500289
deal	0.049991
abstention	0.0499819
money	0.0499611
slate	0.0499568
final	0.0499467
due	0.0499358
lineup	0.0499179
entry	0.0498546
constitution	0.0497972
term	0.0497907
Council	0.0497385
action	0.0495959
governorship	0.0495518
Rally	0.0494522
appeal	0.0494435
ruling	0.0493135
brochure	0.0491648
review	0.0490849
tournament	0.0489895
license	0.0489782
Tuesday	0.0489256
Sunday	0.0489124
legislator	0.0487744
presidency	0.0487338
case	0.0486727
package	0.0486619
information	0.0486606
measure	0.0485805
"general assembly"	0.0484986
commission	0.0484452
verdict	0.0484054
edition	0.048295
cabinet	0.0480937
contract	0.0480512
respondent	0.0479927
discussion	0.0478337
reshuffle	0.0477916
address	0.0477852
district	0.0477109
trail	0.0477055
status	0.0476656
total	0.0476539
independent	0.0476463
speech	0.0476393
championship	0.0476028
policy	0.0474383
shelf	0.0474132
sale	0.0473022
accord	0.0472812
Execution	0.0470785
settlement	0.047021
recommendation	0.046987
notice	0.0469201
postcard	0.0468691
jury	0.0468414
))
("ballot box" (desc 12324.7) (sims
"polling booth"	0.0988401
ballot	0.0918283
"polling station"	0.0887843
"absentee ballot"	0.0746691
"polling place"	0.0731749
envelope	0.0724482
mailbox	0.0612808
suitcase	0.0578015
container	0.0568874
vial	0.0536347
"voting booth"	0.0513891
"Rivers Stadium"	0.0509169
"shopping cart"	0.0489345
deportee	0.0488551
sandbag	0.0482627
"Marine Midland Arena"	0.0482489
briefcase	0.0480592
"time capsule"	0.0479185
"Iraqi POWs"	0.0478859
elector	0.0478325
"body bag"	0.0473252
"cargo container"	0.0461533
VMs	0.0461526
"duffel bag"	0.0457137
solder	0.0449847
"garbage can"	0.0449244
packet	0.0444942
coffin	0.0444908
folder	0.0443437
"back door"	0.0437352
Indy	0.0435071
evacuee	0.0434752
"paper bag"	0.0433014
"Iranian POWs"	0.0430137
"temporary worker"	0.0429369
intimidation	0.0423734
vote-getters	0.0423541
Apaches	0.0422492
"Sri Lankans"	0.041961
Mozambican	0.0419459
Daytona	0.0418992
firearm	0.0418942
returnees	0.0415563
hearse	0.0413298
Brickyard	0.0412881
barrel	0.0412082
truckload	0.0408703
spacewalks	0.0408034
"bank account"	0.0406108
crate	0.0405154
deserter	0.0403398
tube	0.0401455
))
(balloting (desc 24949) (sims
voting	0.230171
ballot	0.173318
election	0.166301
"general election"	0.159216
"primary election"	0.139079
referendum	0.138581
poll	0.134802
primary	0.133177
vote	0.129195
caucus	0.123059
runoff	0.122181
polling	0.122007
contest	0.113682
by-election	0.108876
plebiscite	0.0972689
"open primary"	0.0963342
by-elections	0.0937083
"London Marathon"	0.0827671
registration	0.082421
"governor's race"	0.0806314
"New York City Marathon"	0.0781729
"NBA Draft"	0.0780814
festivity	0.0757557
auction	0.0751029
slalom	0.0734676
hearing	0.071013
"board meeting"	0.0701671
preliminary	0.0699093
inauguration	0.0697754
nomination	0.0696632
"Daytona @@@"	0.0696505
trial	0.0692069
turnout	0.068097
lottery	0.0678378
competition	0.0665126
"Santa Anita Derby"	0.0663593
"committee meeting"	0.0652598
census	0.0651382
reelection	0.0651254
candidacy	0.0650245
"polling station"	0.0648716
"election day"	0.0647313
deliberation	0.0645931
selection	0.0642293
Exam	0.0641748
Derby	0.0641427
session	0.063896
showdown	0.063799
bidding	0.0636862
ceremony	0.0632855
autopsy	0.0627265
proceeding	0.0621767
examination	0.0620025
survey	0.061382
opener	0.0612494
"summit meeting"	0.0608884
deadline	0.0607822
"three-day event"	0.0607413
"council meeting"	0.0606392
"Pepsi @@@"	0.0604739
downhill	0.0602337
reshuffle	0.0602151
constituency	0.059323
"Indy @@@"	0.0587493
"All-Star Game"	0.0584679
conference	0.0581851
"Dubai World Cup"	0.0581721
rainout	0.0581004
handover	0.0580444
vote-getter	0.0575059
campaigning	0.0574557
"PGA Championship"	0.0574449
audition	0.0573417
celebration	0.0572469
negotiation	0.0572397
"senate race"	0.0571851
"World Cup"	0.0571528
tournament	0.0571243
Execution	0.0570657
beatification	0.0569265
liftoff	0.0567853
"Commonwealth Games"	0.0565593
scrimmage	0.0564064
summit	0.0561074
"cup final"	0.0557668
tally	0.0555962
"practice session"	0.0553652
opening	0.0552638
"Brickyard @@@"	0.0551668
"war game"	0.0551205
marathon	0.0549726
arraignment	0.0546746
coup	0.0545312
"work stoppage"	0.054507
convention	0.0539937
"exhibition game"	0.0536688
gathering	0.0535955
championship	0.0534584
tourney	0.052928
verdict	0.0528501
"UEFA Cup"	0.0527984
Assembly	0.0527034
riot	0.0524438
repatriation	0.0521692
counting	0.0521654
"voter turnout"	0.0518441
doubleheader	0.0517939
spacewalk	0.0517867
demonstration	0.0517469
inaugural	0.0515703
bout	0.0514559
edition	0.0514029
Olympics	0.0513491
raid	0.0511498
matchup	0.0510931
sweepstake	0.0510789
fund-raiser	0.0510427
"coup attempt"	0.0510026
"Boston Marathon"	0.050829
"Tour de France"	0.0507843
walkout	0.0507251
Super-G	0.0506412
semifinal	0.0505484
debacle	0.0504927
"congressional district"	0.0504678
"U.S. Open"	0.0503328
workout	0.0502443
"Tour Championship"	0.0502349
"European Championship"	0.0500381
massacre	0.0498111
candidature	0.0498027
testing	0.0497625
announcement	0.0496818
audit	0.0496796
"Kentucky Derby"	0.0496715
"Grand Prix"	0.0496567
finale	0.0495877
"Belmont Stakes"	0.0495174
briefing	0.0493585
"playoff game"	0.0493511
ranking	0.0491714
evaluation	0.0490542
frontrunner	0.0490306
landslide	0.0489247
"East Regional"	0.0488697
ruling	0.0488114
playoff	0.0487186
rematch	0.0486937
minicamp	0.0485942
wedding	0.0485735
"Florida Derby"	0.0485614
rehearsal	0.0485139
exhumation	0.0484793
"Pacific Classic"	0.0483801
"head count"	0.0483786
premiere	0.0483612
maneuver	0.0483185
"Buick Invitational"	0.0479692
"right to vote"	0.0478462
ratification	0.0477877
forum	0.0477529
screening	0.0476534
consideration	0.0475009
Masters	0.0474701
consultation	0.0473845
gala	0.0473458
funeral	0.0473026
"home game"	0.0471318
blackout	0.0470681
weigh-in	0.0470528
launching	0.0470526
deposition	0.0470391
"European Championships"	0.0468703
"Blue Grass"	0.0468697
"round robin"	0.0468291
inspection	0.0467795
boycott	0.0467088
filing	0.0466464
expiration	0.0466229
game.	0.0465688
"World University Games"	0.0465328
regatta	0.0463182
inquiry	0.0463032
"news conference"	0.0462929
"US Open"	0.0462605
Preakness	0.0462221
Telecast	0.0461666
matches	0.0461046
symposium	0.0460635
signing	0.045944
trading	0.0459
commemoration	0.0458742
Implementation	0.0457432
"Champions League"	0.045681
Knesset	0.0456616
quarterfinal	0.0456294
prologue	0.0456091
freestyle	0.0456047
electorate	0.0455635
"trading session"	0.0454938
))
(Ballpark (desc 52991.2) (sims
stadium	0.204509
"Yankee Stadium"	0.181569
"Safeco Field"	0.170475
"Edison Field"	0.1656
"Dodger Stadium"	0.162195
"Shea Stadium"	0.16181
"Fenway Park"	0.15648
Astrodome	0.152243
park	0.137974
"Jacobs Field"	0.135672
"Coors Field"	0.134454
arena	0.134357
Fenway	0.130576
"Turner Field"	0.129469
"Qualcomm Stadium"	0.126739
Kingdome	0.125699
"Enron Field"	0.121408
"Pacific Bell Park"	0.116584
"Busch Stadium"	0.115657
"Wrigley Field"	0.113171
"Comerica Park"	0.109553
"Tropicana Field"	0.108854
"County Stadium"	0.105936
"Camden Yards"	0.105558
"Cinergy Field"	0.102189
"Staples Center"	0.101114
SkyDome	0.100855
"football stadium"	0.0990188
Metrodome	0.0981907
"Tiger Stadium"	0.0970519
Coliseum	0.0940371
hotel	0.093716
"Rivers Stadium"	0.0933217
"Continental Arena"	0.0927389
"Giants Stadium"	0.092654
"Madison Square Garden"	0.0925477
mall	0.0923294
"Comiskey Park"	0.0894789
complex	0.0885948
"America West Arena"	0.0879269
"MCI Center"	0.086185
Shea	0.0857666
clubhouse	0.0856564
"Rose Bowl"	0.085238
"sports arena"	0.0842934
"Pro Player Stadium"	0.0829799
facility	0.0827805
"Reunion Arena"	0.0822052
rink	0.0815701
theater	0.0805769
gym	0.0801759
garden	0.0792355
"Foxboro Stadium"	0.0790836
courthouse	0.0788189
"golf course"	0.0787487
venue	0.0787238
"Veterans Stadium"	0.0786233
FleetCenter	0.078358
"Olympic Stadium"	0.0777032
home	0.077616
restaurant	0.0772061
"Texas Stadium"	0.0764163
airport	0.0750013
building	0.0749881
house	0.0743354
museum	0.0742301
apartment	0.0739988
"Compaq Center"	0.0730814
"Pauley Pavilion"	0.072923
"Delta Center"	0.0726333
Meadowlands	0.0718973
school	0.0713883
"movie theater"	0.0713531
mansion	0.0708388
Capitol	0.0703924
Dome	0.070302
camp	0.0694005
Warehouse	0.0693958
bullpen	0.0689777
dugout	0.068835
store	0.0685936
hospital	0.0679008
"United Center"	0.067889
campus	0.0673727
"Mile High Stadium"	0.067338
downtown	0.0673266
hall	0.0671178
track	0.0670944
neighborhood	0.06704
Casino	0.0668847
"Georgia Dome"	0.0668812
palace	0.0665498
"theme park"	0.0661752
field	0.0655627
Superdome	0.0654352
church	0.0648264
"locker room"	0.0646875
studio	0.0646114
gymnasium	0.0643758
"spring training"	0.0641601
"All-Star Game"	0.0641269
"World Series"	0.0638196
clinic	0.0635413
racetrack	0.0635173
lineup	0.0634001
garage	0.0630789
room	0.0629121
library	0.0626904
"concert hall"	0.062679
office	0.0625698
"Cotton Bowl"	0.0624926
"shopping mall"	0.0623959
club	0.0622199
"opera house"	0.0622039
plaza	0.0619195
baseball	0.0617574
classroom	0.0614788
"high school"	0.0614511
site	0.0612929
town	0.0612113
terminal	0.0611764
resort	0.0611279
"Devil Stadium"	0.0610691
Atlanta	0.0610639
outfield	0.0608329
station	0.0608296
"city hall"	0.0605101
headquarter	0.0604367
"shopping center"	0.0604018
shelter	0.0599251
shop	0.059472
ballgame	0.0593773
"Kansas City"	0.0591987
motel	0.0591282
"big league"	0.0589831
Pittsburgh	0.0585983
Cathedral	0.0583434
Boston	0.0583304
courtroom	0.05814
Cleveland	0.0581377
village	0.0578828
Milwaukee	0.0578654
cemetery	0.0577016
Wrigley	0.0576596
inn	0.0576355
Seattle	0.0575378
playoff	0.0571485
zoo	0.057016
"St. Louis"	0.0568356
factory	0.0567838
rotation	0.0567312
auditorium	0.0565679
barn	0.0563893
temple	0.0563753
"office building"	0.056359
playground	0.0562071
"Old Trafford"	0.0562046
"baseball game"	0.0560738
"amusement park"	0.0560543
beach	0.055964
"major league"	0.0559438
"Times Square"	0.0559229
mosque	0.0559124
Disneyland	0.0557256
"parking lot"	0.0557085
Detroit	0.0556796
square	0.0554472
Alamodome	0.0552397
franchise	0.0549858
cottage	0.0547022
Oakland	0.0546277
Baltimore	0.0542794
"public school"	0.0542201
L.A	0.0541497
prison	0.0540948
Houston	0.0540076
"San Diego"	0.0538584
"Los Angeles"	0.0537843
farm	0.053692
shortstop	0.0536539
memorial	0.0536224
"apartment building"	0.0533239
ANAHEIM	0.0532711
"San Francisco"	0.0532445
"Super Bowl"	0.0531286
ranch	0.0530472
kitchen	0.0530407
"polling station"	0.0528122
bar	0.0527086
postseason	0.0525895
Olympics	0.0525748
Phoenix	0.0525645
"civic center"	0.0524351
tournament	0.0521156
Indianapolis	0.0521155
"New York"	0.0519308
dam	0.0518915
"grocery store"	0.0517676
pub	0.0517411
street	0.0514146
))
(ballplayer (desc 12006.7) (sims
"baseball player"	0.155827
"hockey player"	0.117901
"major leaguer"	0.112155
"ball club"	0.105172
"big leaguer"	0.10162
"football player"	0.0978499
"basketball player"	0.0949444
golfer	0.0853726
athlete	0.0840787
entertainer	0.0837082
hitter	0.0828858
musician	0.0824093
"football coach"	0.081159
"good person"	0.0798524
pitcher	0.0795585
"jazz musician"	0.0774036
ballclub	0.0772974
"role player"	0.0771572
newspaperman	0.0765636
performer	0.0752804
QBs	0.0732746
"baseball club"	0.0725797
songwriter	0.0719752
catcher	0.0709113
slugger	0.0706615
racer	0.0701691
"sports fan"	0.0687898
superstar	0.0684861
"base runner"	0.0684742
"center fielder"	0.0683772
basemen	0.0681056
revolutionary	0.0680644
closers	0.0675685
"tough guy"	0.0674678
comedian	0.0673027
"good guy"	0.0672804
violinist	0.0668075
actor	0.0661879
"movie star"	0.0659897
artist	0.0658575
photographer	0.06572
jock	0.0652423
"ballet dancer"	0.0651854
"guitar player"	0.0650293
jockey	0.0650126
"public servant"	0.0648167
dancer	0.0647676
"human being"	0.0642715
pianist	0.0642402
student-athletes	0.0640242
baserunner	0.0638916
shooter	0.0638469
storyteller	0.0637744
"character actor"	0.0636126
writer	0.0636115
shipmate	0.063345
cartoonist	0.0632472
quarterback	0.0627802
"chess player"	0.0626998
poet	0.0624878
boxer	0.062288
outfielder	0.0619449
Playwright	0.0619017
sportswriter	0.0618924
scout	0.0617366
Kicker	0.0616718
politician	0.0615496
"baseball team"	0.0615187
skater	0.0613571
feminist	0.0610076
recluse	0.0608456
"young person"	0.0607963
passer	0.0607498
All-stars	0.0606067
"little girl"	0.0603176
"hockey team"	0.0600819
"third baseman"	0.0600722
ballgame	0.0599063
"Joe DiMaggio"	0.0593396
composer	0.0592331
"bad guy"	0.0590061
Sportsman	0.0589627
goaltenders	0.0589411
journalist	0.0588809
hurler	0.0588449
"role model"	0.0587956
shortstop	0.0587925
major-leaguers	0.0586964
talker	0.0582995
statesman	0.0582296
bloke	0.058185
ballerina	0.0579078
"black person"	0.0577593
"second baseman"	0.0577224
"hockey coach"	0.0576325
singer	0.0576256
Olympian	0.05741
"heavy hitter"	0.057405
choreographer	0.0573772
philanthropist	0.0573036
entrepreneur	0.05727
Cop	0.0572593
greats	0.0572333
painter	0.0572043
wrestler	0.0571718
goalie	0.057112
singer-songwriters	0.0570646
"running back"	0.0570335
thinker	0.0570213
swimmer	0.0566758
fella	0.0566758
"pitching coach"	0.0566239
statesmen	0.0565577
educator	0.0565179
celebrity	0.0563732
old-timer	0.0563507
umpire	0.0563149
"elected official"	0.0563039
weirdo	0.0562834
surfer	0.0562397
sportswriters	0.0562145
"starting pitcher"	0.056183
communicator	0.056151
"tennis player"	0.0559559
filmmaker	0.0559218
conductor	0.055895
evangelist	0.0558879
teenager	0.055866
intellectual	0.0558614
"public speaker"	0.0558404
novelist	0.0558287
handicapper	0.0558004
gymnast	0.0556382
runner	0.0555659
sprinter	0.0555604
collector	0.0554278
thrower	0.0554016
playmakers	0.0552922
novice	0.0551353
"major-league team"	0.0550753
panelist	0.0550323
"volleyball player"	0.0548583
pitching	0.0547589
ump	0.0547197
linemen	0.0546168
talent	0.0545909
businessman	0.0545219
actress	0.0545089
dad	0.0544647
"football team"	0.0544361
sculptor	0.0544056
magician	0.0543729
"pass catcher"	0.0543592
preacher	0.0543206
DJ	0.05423
defensemen	0.0541961
contestant	0.0541264
underachiever	0.054013
stuntman	0.0540092
youngster	0.0538847
achiever	0.0538524
stallion	0.0537956
chef	0.0536616
skier	0.0536
whiner	0.0535313
"police lieutenant"	0.0535109
racehorse	0.0534582
orator	0.0534482
team.	0.0533649
philosopher	0.0531062
idiot	0.053059
clown	0.0529791
knucklehead	0.0529328
instrumentalist	0.0528585
"little boy"	0.0522985
"baseball season"	0.0522138
dilettante	0.0522113
filmmakers	0.0522067
"basketball coach"	0.0521571
mailman	0.0520624
folk	0.0519573
"hard worker"	0.051938
"risk taker"	0.0518925
"little leaguer"	0.0518842
troublemaker	0.0518835
bodybuilder	0.0518713
astronaut	0.0518674
"venture capitalist"	0.051845
"television star"	0.0517972
"success story"	0.0517933
illustrator	0.051785
pup	0.0517511
millionaire	0.0517399
goaltender	0.0516576
receiver	0.0516326
teen-ager	0.0515663
stylist	0.0515505
comic	0.051453
dude	0.0514393
designer	0.051337
))
("ballpoint pen" (desc 1200.78) (sims
"fountain pen"	0.159656
gouache	0.141677
eraser	0.140341
notepad	0.113145
pencil	0.0992258
"slide rule"	0.0927889
crayon	0.091306
joysticks	0.0899371
paintbrush	0.0875188
tampon	0.0836001
"sheet of paper"	0.0725631
stapler	0.0720242
binder	0.0715895
"steel wool"	0.0691335
"rubber band"	0.06895
"coffee mug"	0.0675157
barrette	0.0665742
nightstick	0.0658468
microcomputer	0.0651198
calculator	0.0650453
"battle plan"	0.0638952
"tape recorder"	0.0624967
pinwheel	0.0622226
"pocket watch"	0.0612394
chokehold	0.0611604
hyphen	0.0603351
"magnifying glass"	0.0586674
chopstick	0.0581358
"hockey stick"	0.0579521
potty	0.0579047
ashtray	0.0578132
synthesizers	0.0570773
"tape measure"	0.0570706
"gas stove"	0.05676
"garden hose"	0.056329
Meng	0.0561597
"bed sheet"	0.0548426
Propulsid	0.053964
"battering ram"	0.0534044
yo-yo	0.0525372
"disk jockey"	0.051032
cleanser	0.0508986
graphite	0.050731
mascara	0.0507179
"hunting knife"	0.050633
M-@@	0.0505108
grater	0.0503939
"household product"	0.0501618
typewriter	0.0500992
clipboard	0.0499752
hit-and-run	0.0499665
afterburner	0.0499369
stethoscope	0.0497555
cannister	0.0497234
Hummer	0.0495445
singer-songwriters	0.0493926
handbill	0.0493497
ointment	0.0491516
scorecard	0.0488872
pillowcase	0.0487401
"telephone directory"	0.0486684
"jelly bean"	0.0486538
brassiere	0.0483917
"sewing machine"	0.0482283
"radio set"	0.0481309
"side chair"	0.0476878
hGH	0.0476837
purifier	0.0476558
"charge card"	0.0472741
stylus	0.047249
Benex	0.0469376
"candy bar"	0.0468517
"fictional character"	0.0466911
vibrator	0.0465934
"walking stick"	0.0464553
"brokerage account"	0.046436
noggin	0.0463292
"bank card"	0.0460387
watermark	0.0459056
"utility program"	0.0452283
"mechanical device"	0.0450722
polygraph	0.0449316
"sweat pants"	0.0448564
"steam locomotive"	0.0447692
"point system"	0.0446542
"rolling pin"	0.0443775
"newspaper clipping"	0.0441476
frosting	0.0441029
"tennis club"	0.0440979
bugaboo	0.0439384
"rest room"	0.0438997
suction	0.0438742
grinder	0.0435679
sundial	0.0435304
analyzer	0.0434077
CD-R	0.0431339
"man's body"	0.0431331
pantyhose	0.0429789
"white person"	0.0428785
"radio transmitter"	0.042652
"Lincoln Town Car"	0.0425404
overcoat	0.0423975
"fire hose"	0.0421241
copout	0.0418658
"tin can"	0.0418326
"satellite receiver"	0.0417878
masher	0.0416891
frond	0.0416826
bullhorn	0.041534
truncheon	0.0414461
hex	0.0413782
"Jeep Cherokee"	0.041327
crucifix	0.0411745
"hair dryer"	0.0411246
"clock radio"	0.0410683
"Honda Civic"	0.0410296
ECN	0.040927
battleship	0.0409124
"Joe Camel"	0.0408664
nonentity	0.0408459
"water bottle"	0.0407675
carpeting	0.0407594
Firefly	0.0407406
Cleaver	0.040714
"consumer durables"	0.0407011
"Border collie"	0.0406581
toothbrush	0.0405031
lotion	0.0404827
"TV dinner"	0.0403818
briquette	0.0403006
left-winger	0.0402017
"love seat"	0.0401198
"rocket engine"	0.0400101
))
(ballroom (desc 21746.9) (sims
auditorium	0.172317
gymnasium	0.167274
"dining room"	0.160798
"conference room"	0.154387
hall	0.129474
suite	0.119542
room	0.116306
lounge	0.115476
lobby	0.114851
gym	0.114324
restaurant	0.110712
"dance hall"	0.109244
cafeteria	0.109109
cafe	0.108875
hallway	0.107026
courtroom	0.106359
"East Room"	0.106086
gallery	0.106044
atrium	0.105683
parlor	0.102754
hotel	0.102141
"living room"	0.10177
courtyard	0.0987126
theater	0.0971404
"concert hall"	0.0963522
bedroom	0.0963216
"parking lot"	0.0959013
plaza	0.0956709
kitchen	0.0945477
"reception room"	0.0930128
garage	0.0918868
nightclub	0.0917225
bar	0.0912462
apartment	0.0898476
"office building"	0.0894962
"movie theater"	0.0882659
amphitheater	0.0878712
stadium	0.0866625
studio	0.0864502
salon	0.0855203
hangar	0.0855086
chamber	0.0850263
arena	0.0848521
"gift shop"	0.0840801
chapel	0.0839452
classroom	0.0834386
foyer	0.0832639
library	0.0820842
"hotel room"	0.0819353
pub	0.0814347
"art gallery"	0.0811
loft	0.0809006
elevator	0.0806194
"dining area"	0.0801094
palace	0.0799551
"exhibition hall"	0.0790801
Warehouse	0.0783301
booth	0.0782846
sanctuary	0.077875
"swimming pool"	0.0777312
"shopping center"	0.0776338
showroom	0.077072
basement	0.07701
"bowling alley"	0.0767097
disco	0.0765499
square	0.0763467
mansion	0.0761945
tent	0.0760196
"wine cellar"	0.075301
Cathedral	0.0750541
shop	0.0746297
Casino	0.0745625
rotunda	0.0744747
"game room"	0.0744067
"coffee shop"	0.074346
pavilion	0.0736657
courthouse	0.0730639
"shopping mall"	0.0730291
"family room"	0.0726063
garden	0.0724683
"opera house"	0.0723077
"Great Hall"	0.0721391
church	0.0721125
balcony	0.0717946
"waiting room"	0.0714977
mall	0.071392
saloon	0.0713613
SPA	0.0712405
bathroom	0.0711269
"community center"	0.0706097
den	0.0702318
cabin	0.070084
Villa	0.0695074
"town house"	0.0692139
spas	0.0691221
Grandstand	0.0689928
park	0.0688753
eateries	0.067397
terrace	0.066887
"conference center"	0.0668451
"tea house"	0.0665621
clubhouse	0.0664961
coffeehouse	0.0663933
"rose garden"	0.0661573
closet	0.066002
inn	0.0657629
discotheque	0.065622
"back room"	0.0645926
"movie house"	0.0636082
boutique	0.0633096
"dressing room"	0.0632582
complex	0.0631948
"dance floor"	0.0631526
arcade	0.0626366
"Staples Center"	0.0624481
synagogue	0.0623481
mosque	0.0619933
"locker room"	0.0619911
tavern	0.0616534
"civic center"	0.061573
resort	0.0615438
Capitol	0.0614126
bookstore	0.0613892
"entertainment center"	0.0610866
concierge	0.0608654
condo	0.0608143
"grocery store"	0.0607738
venue	0.0606555
"tennis court"	0.0604803
museum	0.0604533
"apartment building"	0.0603656
rink	0.0597768
motel	0.0597083
corridor	0.0596949
playroom	0.0594529
"Olympic Stadium"	0.0592036
restroom	0.0590351
cottage	0.0588571
barn	0.0585449
cubicle	0.0585266
"sports arena"	0.058497
"Times Square"	0.0583099
"recording studio"	0.0581128
"city hall"	0.0579863
patio	0.0579198
bistro	0.057575
porch	0.0574373
mezzanine	0.057415
pool	0.0573757
townhouse	0.0572202
lodge	0.0569855
"department store"	0.0568128
sauna	0.0566572
fireplace	0.0565521
"skating rink"	0.0557267
"boarding house"	0.0552355
condominium	0.0551004
"train station"	0.0550963
"post office"	0.0547534
doorway	0.0546298
"assembly hall"	0.0545783
tub	0.0543484
residence	0.054201
"First Union Center"	0.0541771
penthouse	0.0541418
"basketball court"	0.0541012
chandelier	0.0540789
terminal	0.0540192
"drawing room"	0.0539424
"sitting room"	0.0536401
barbershop	0.0535556
NewsRoom	0.0534212
"Shrine Auditorium"	0.0533238
pew	0.053119
farmhouse	0.0526941
bed	0.0524212
dinner	0.0524093
downtown	0.0523554
"Sheraton Hotel"	0.0521566
"traffic circle"	0.0519992
fountain	0.0518385
staterooms	0.0517553
aisle	0.0516998
staircase	0.0515955
Coliseum	0.0515085
mausoleum	0.0515073
Dome	0.0514258
stairwell	0.051294
boardroom	0.0511783
"liquor store"	0.0510627
cinema	0.0510039
"music hall"	0.0509618
brothel	0.0508198
pit	0.0507239
diner	0.0505561
skyscraper	0.0504655
supermarket	0.0503721
temple	0.0503514
dormitory	0.0502819
schoolhouse	0.0502602
))
("ballroom dancing" (desc 1533.06) (sims
snooker	0.150399
"scuba diving"	0.144475
archery	0.143308
"horseback riding"	0.141022
karate	0.138623
aerobics	0.123382
Gymnastics	0.106824
weightlifting	0.101125
snorkeling	0.100736
Bowling	0.100359
civics	0.0973568
"Beijing Opera"	0.0951413
"mountain climbing"	0.0943694
yoga	0.0932508
"physical education"	0.0929363
taekwondo	0.0925401
mime	0.0911079
acrobatics	0.0891502
"water polo"	0.0876836
"modern dance"	0.0847129
"table tennis"	0.0844157
judo	0.0836655
"martial art"	0.0808576
boating	0.0799302
scuba	0.0785111
"field hockey"	0.0777529
fly-fishing	0.0769925
handball	0.0759459
"Sunday school"	0.0755488
"ice hockey"	0.0750078
skateboarding	0.074294
surfing	0.0742599
triathlon	0.0734666
fencing	0.0729891
netball	0.0726729
"public speaking"	0.0724831
phonics	0.0721025
"folk dance"	0.0708921
volleyball	0.0706174
bicycling	0.0701282
badminton	0.0696564
"Weight Watchers"	0.0694067
snowboard	0.0690327
"rock climbing"	0.0685938
Wushu	0.0679347
rowing	0.0678936
woodworking	0.0673329
"fifth grade"	0.0663311
catechism	0.0661508
chess	0.0658825
pentathlon	0.0630722
eighth-grade	0.0630412
Yachting	0.0622967
karaoke	0.0620961
sixth-grade	0.0611995
"Peking Opera"	0.0603394
Pe	0.0602856
mambo	0.0601768
"first grade"	0.0594307
"fox hunting"	0.0588064
"adult education"	0.0585638
second-grade	0.0585427
"roller skating"	0.0576084
bodybuilding	0.0569787
"flower arrangement"	0.0555169
"computer programming"	0.0553432
puppetry	0.0551596
softball	0.0538649
"figure skating"	0.053506
bobsled	0.0526183
third-grade	0.0525825
beginner	0.0521979
"water sport"	0.0521798
Adelphia	0.051806
quilting	0.0516162
Talmud	0.050592
equestrian	0.0498801
"folk music"	0.0495977
billiards	0.0495089
skiff	0.0492643
"ice skating"	0.0484153
"California wine"	0.0482078
"sixth grade"	0.0479752
"Funny Car"	0.0466032
Polo	0.0463822
sewing	0.0460871
algebra	0.045992
Rugby	0.0458835
"musical performance"	0.045875
"ski jump"	0.0457924
penmanship	0.0454916
"problem solving"	0.0449501
trampoline	0.0447099
"second grade"	0.0447043
cross-fertilization	0.0445545
"piano lesson"	0.0443184
"French horn"	0.0441964
Frisbee	0.0441003
hourlong	0.04378
hiking	0.0436802
Lumbini	0.0432588
obedience	0.0431249
cockfighting	0.0430341
Cookery	0.0430008
"College World Series"	0.042996
NCEC	0.0427496
"theatrical performance"	0.0420237
"car race"	0.0419581
SIESTA	0.0418803
F@@	0.0417758
Decani	0.0416126
caster	0.0415544
"one first"	0.0414809
horseplay	0.0412311
modeling	0.041197
"puppet show"	0.0406174
astronomy	0.0404002
))
(Ballymoney (desc 1152.11) (sims
Marjayoun	0.160736
Nakuru	0.135676
Srbica	0.127131
Pelham	0.12342
Beersheba	0.123286
Macoris	0.119451
Kabwe	0.11786
Tokaimura	0.1163
Posoltega	0.115882
Lhokseumawe	0.11389
Atambua	0.111718
"San Pedro Sula"	0.109702
Pancevo	0.108254
Walkerton	0.10731
Klina	0.106424
Chappaqua	0.105706
Mankulam	0.105152
Urosevac	0.10455
Dundalk	0.104009
Kennebunkport	0.103582
Podujevo	0.103303
Gnjilane	0.10273
Bridgehampton	0.102519
Ashkelon	0.100442
Skaneateles	0.100022
"Mill Valley"	0.0985765
PEC	0.0948719
"East Hampton"	0.0947611
Zhangbei	0.0941122
Taloqan	0.0937217
Nabatiyeh	0.0926684
Limassol	0.091239
Sausalito	0.0898106
"New Canaan"	0.0895569
Hempstead	0.0895485
Easton	0.089039
Prijedor	0.0890304
Kandy	0.0887934
Juba	0.0881632
Kizlyar	0.0876038
Kalemie	0.0870514
Jezzine	0.0866814
Beaufort	0.0862501
"Happy Valley"	0.0849153
Bengkulu	0.0845158
"Port St. Lucie"	0.0843051
Hattiesburg	0.0836433
"Fayette County"	0.0823333
Golcuk	0.0822403
"New Rochelle"	0.0819948
Montclair	0.0816966
MINEOLA	0.0815177
Kismayu	0.0814115
Chamonix	0.081348
Braintree	0.0812393
"Hollywood Hills"	0.0810565
Junik	0.0807406
"Suva Reka"	0.0781235
Talipao	0.0775532
Leskovac	0.0772435
BRIGHTON	0.076873
"Bel Air"	0.0762715
Mitrovica	0.0760781
Matadi	0.075974
Vedeno	0.0746353
Sonoma	0.0746113
"Santa Rosa"	0.0742361
"Simi Valley"	0.0733696
Atherton	0.0733145
"Kosovo Polje"	0.0731881
Brentwood	0.0728819
Barrington	0.0728391
Charikar	0.0727488
Tarrytown	0.0724717
Winchester	0.0721914
Prizren	0.0721461
Kailahun	0.0719737
Tachilek	0.0718798
Surrey	0.071801
ASHEVILLE	0.0716856
Badme	0.0716173
pajama	0.071247
Batticaloa	0.0707839
Westport	0.0705426
Trincomalee	0.0698629
Belacevac	0.0694246
Evanston	0.069321
Vitoria	0.069063
Waterville	0.0689764
Rafah	0.0688344
Orahovac	0.0687647
Wildwood	0.0684293
Riverdale	0.0680678
Kanungu	0.0680076
Shali	0.0678073
Greenwich	0.0673697
Makeni	0.067316
"Novi Sad"	0.0672731
Americus	0.0672675
Kilinochchi	0.0667255
"Del Rio"	0.0665422
Urus-Martan	0.0663058
"Port Arthur"	0.0662333
Portadown	0.0660441
Pailin	0.0660273
Telluride	0.065785
Jericho	0.065652
Najaf	0.0653433
Carlsbad	0.0652695
Kasese	0.065267
Yekaterinburg	0.065015
Kismaio	0.0648653
Huntington	0.0647956
"San Rafael"	0.0646942
Claremont	0.0646121
Paranthan	0.0642948
"La Jolla"	0.0642617
Baidoa	0.0642328
Vladikavkaz	0.0642108
Paphos	0.0641853
Princeville	0.0638439
Farmington	0.0634832
Wilton	0.0634011
cul-de-sac	0.0632939
Plano	0.0630472
Salem	0.0629864
Mosul	0.0625737
Derry	0.0624572
"Westlake Village"	0.0623551
Larnaca	0.0622812
"Greek capital"	0.0621458
Haicheng	0.0621299
Vavuniya	0.06202
Merca	0.06201
Blace	0.0618161
Poughkeepsie	0.0618114
Kisumu	0.0616277
Cacak	0.0615968
"Paradise Valley"	0.0613606
Nago	0.0612922
CAMILLA	0.0612553
Uvira	0.0610909
Amherst	0.0610326
Caguan	0.0609611
Brcko	0.0607179
"Chevy Chase"	0.0604427
"Fort Lee"	0.0603851
Naperville	0.0600901
Gulu	0.0599928
Elmira	0.0598157
"Mission Viejo"	0.0596815
"San Angelo"	0.0594421
Carthage	0.0591671
Livingstone	0.059151
"Little Havana"	0.0588962
Drenica	0.058827
Englewood	0.0587843
Warri	0.0587728
Ojai	0.058704
Bundibugyo	0.0585709
"San Cristobal"	0.0585538
"Marin County"	0.0581523
Argun	0.0581408
Ruhengeri	0.0581375
flint	0.0580611
Gudermes	0.0580602
"Granada Hills"	0.0580137
"New Braunfels"	0.0579354
Multan	0.0578495
Malisevo	0.0578004
Kraljevo	0.0577458
Stamford	0.057737
"Central Jakarta"	0.0576867
"Kosovska Mitrovica"	0.0575019
Taba	0.0573114
Haifa	0.0570489
"San Carlos"	0.0570208
"Ciudad Juarez"	0.0569555
"Fort Collins"	0.0569223
Ismailia	0.0567992
Gloucester	0.0566932
Soweto	0.0564062
"Santa Clarita"	0.05637
Irvington	0.0562975
"Big Sur"	0.0561861
"Palm Beach Gardens"	0.0561033
Kragujevac	0.0560751
Nablus	0.0560239
"Abu Dis"	0.0559632
Djakovica	0.0559554
Gisenyi	0.055941
Freeport	0.0559314
Bedford	0.0559177
"Pacific Palisades"	0.055679
Casas	0.0556717
Shepherdstown	0.0555445
Mazar-i-Sharif	0.0553401
"Cobb County"	0.0551244
Antioch	0.0550698
Makhachkala	0.0549549
))
(balm (desc 4902.26) (sims
salve	0.138023
guidepost	0.0674783
nourishment	0.066079
Tonic	0.0655369
elixir	0.0605739
massage	0.0580232
sustenance	0.0540597
ointment	0.0529172
lotion	0.0523859
moisturizer	0.0523461
fillip	0.0489525
coda	0.0487212
consolation	0.0482027
dowry	0.0479304
"chicken soup"	0.0475954
corrective	0.0475148
reassurance	0.0474914
"safety valve"	0.0474484
succor	0.0471679
solace	0.0462396
batboy	0.0460205
"morale booster"	0.0457534
"hot plate"	0.0457449
boon	0.0457123
potion	0.0453633
cleanser	0.0442775
send-off	0.0438987
rawness	0.043775
counterbalance	0.0434968
band-aid	0.0432489
parsing	0.0422707
stimulus	0.0420305
"electric shock"	0.041314
palliative	0.0410087
acupuncture	0.0400517
))
(Balochistan (desc 1915.84) (sims
Sindh	0.222162
Punjab	0.191365
BIE	0.15688
"North West Frontier Province"	0.156837
Sofala	0.133931
Hakkari	0.130611
"Chiang Rai"	0.120626
"North Maluku"	0.119566
Tunceli	0.118466
Riau	0.118112
Katanga	0.117635
Vojvodina	0.114776
Mpumalanga	0.106386
Sulu	0.10603
Herat	0.105912
Nyanza	0.105369
Tete	0.105089
Pampanga	0.1002
Diyarbakir	0.0997969
Huambo	0.0985929
"Western Cape"	0.0965978
Benguela	0.0960348
Caprivi	0.0928546
Antioquia	0.0886318
Maguindanao	0.0885011
Cotabato	0.0872033
Bingol	0.0871346
Hubei	0.0853428
Sirnak	0.0841958
Kupang	0.0810045
Hunan	0.0802317
Meta	0.0800749
Bursa	0.079917
"East Nusa Tenggara"	0.079632
Jiangxi	0.0774232
Guizhou	0.0769763
Gauteng	0.0763611
Basilan	0.0759717
Heilongjiang	0.0759496
Palawan	0.0756274
Gansu	0.075131
Bamiyan	0.0749581
Qinghai	0.0749176
"rift valley"	0.0742676
Shanxi	0.0734175
Shaanxi	0.0733728
Khost	0.0729202
"Lagos State"	0.072536
Zhejiang	0.0724377
Tigray	0.0723096
"Surat Thani"	0.0719378
Karachi	0.0711433
"East Kalimantan"	0.0707339
Liaoning	0.0706743
KwaZulu/Natal	0.0702933
Najaf	0.0696787
Isfahan	0.0695931
Fujian	0.0695846
Norte	0.0693025
Copperbelt	0.067609
Maluku	0.0673625
Anhui	0.0672561
Cabinda	0.0672233
Bengkulu	0.0672035
Basra	0.0669525
Kwazulu-Natal	0.0666407
"Uttar Pradesh"	0.0653229
Henan	0.0651241
Bataan	0.0649349
"Mount Lebanon"	0.0648012
Taloqan	0.0645782
Hebei	0.0641831
Putumayo	0.0628827
Jilin	0.0626984
"East Java"	0.062471
"Central Java"	0.0622713
Guantanamo	0.0617695
"Lower Saxony"	0.0612406
Toro	0.0609351
Bengal	0.0609282
Krasnoyarsk	0.0603935
"Irian Jaya"	0.0600625
"West Java"	0.0599858
Jayapura	0.0599671
Michoacan	0.0593645
Manitoba	0.0581812
Bekaa	0.0580839
Zamboanga	0.0579234
"South Sulawesi"	0.0572536
"CHIANG MAI"	0.0570701
"Siem Reap"	0.0555112
Izmir	0.0549096
Sur	0.054716
Juba	0.0546368
Antalya	0.0544182
Attica	0.0542497
Rajasthan	0.0541538
UVA	0.0538822
Sidon	0.0538179
Phuket	0.0537638
Cebu	0.0536074
Palembang	0.0534189
Kurdistan	0.0532857
"West Bengal"	0.0532387
"West Kalimantan"	0.0528418
"Mekong Delta"	0.0524918
Haryana	0.0523865
Aceh	0.0520204
Shiraz	0.0515634
"Eastern Cape"	0.0515524
"Delta State"	0.0514548
Limon	0.0514113
Alberta	0.0513626
eco	0.0512224
MQM	0.0510009
Bushehr	0.0508636
Darien	0.0508089
Lampung	0.050056
Peshawar	0.0499263
Charikar	0.0491874
Mekong	0.0490758
Surin	0.0489672
Manado	0.0488247
Cordoba	0.0480271
"home rule"	0.0476908
Chiapas	0.047637
Ambon	0.0474365
Newfoundland	0.0472367
"Swiss Alps"	0.0468943
Quetta	0.0468783
Luzon	0.0460489
Murmansk	0.0459445
Santander	0.0451923
"Free State"	0.0451385
Kalimantan	0.0450744
Gujarat	0.0450727
Abkhazia	0.0449318
"Madhya Pradesh"	0.0448989
Mashhad	0.0448283
"Minas Gerais"	0.0443426
"D.R Congo"	0.0442481
Cochabamba	0.0441718
Zacatecas	0.044063
quiche	0.0437146
"New Brunswick"	0.0433666
Mosul	0.0431125
"New South Wales"	0.0430767
Davao	0.0430544
"Tamil Nadu"	0.0429291
Jalalabad	0.0428382
Adana	0.0422542
Kandahar	0.0421531
"Serbian Republic"	0.0420679
Sulawesi	0.0409691
Matadi	0.0408405
))
(baloney (desc 2224.67) (sims
crap	0.143683
blather	0.139604
crock	0.133957
nonsense	0.131364
B.S	0.102854
pastrami	0.0981595
"roast beef"	0.0874279
hokum	0.0852933
junk	0.0851892
bleep	0.083768
salami	0.0828715
"corned beef"	0.0817736
"chicken salad"	0.0814381
bluster	0.0810767
copout	0.0791346
bunk	0.0782989
whiner	0.0762104
"pork tenderloin"	0.0753855
"good story"	0.0745055
posturing	0.0735769
"wishful thinking"	0.0714042
"guessing game"	0.0708526
hoax	0.0703138
canard	0.0692244
"Passion play"	0.0678139
rubbish	0.0677356
chatter	0.067532
pimento	0.0659727
"smoke screen"	0.0658561
meatball	0.0657344
expletive	0.0657156
exaggeration	0.065193
hearsay	0.0646635
guesswork	0.0642224
"Swiss cheese"	0.0633727
suspense	0.0630105
meatloaf	0.0627244
axiom	0.0625915
drivel	0.0622211
crybaby	0.0620604
ruse	0.0614914
"sour grapes"	0.061073
"tuna fish"	0.0609842
foolishness	0.0609026
gimmick	0.059593
boilerplate	0.0588528
"lip service"	0.0586978
"shell game"	0.0584698
"vegetable soup"	0.0578252
oomph	0.05775
hypocrisy	0.0573015
gumption	0.0564886
Truism	0.0563887
chutzpah	0.0561791
gamesmanship	0.0559962
gibberish	0.0558454
Cheddar	0.0556471
"hot air"	0.0555194
silliness	0.0554508
ifs	0.0548399
brisket	0.0548116
misperception	0.0545935
"parlor game"	0.0542251
prosciutto	0.0540792
conjecture	0.0538856
"red herring"	0.0538111
"foot traffic"	0.0537945
hotdog	0.0537519
bravado	0.0535236
veggie	0.0534264
"trial and error"	0.0531173
"elbow room"	0.0529508
overkill	0.0526936
"hot potato"	0.0526145
"natural ability"	0.0525902
"heavy hitter"	0.0524348
crapshoot	0.0523864
nostrum	0.0522648
superlative	0.0521699
fabrication	0.0519403
whopper	0.0518316
nonstarter	0.0517526
hypocrite	0.0510094
adrenaline	0.0508627
gunk	0.0508604
mildew	0.0508572
"smoked salmon"	0.0508261
certitude	0.0507606
"double talk"	0.0507112
guessing	0.0507108
filler	0.0506804
"loose end"	0.0504806
ploy	0.0503946
"standard operating procedure"	0.0500744
fluff	0.0500715
"civic duty"	0.0500078
no-brainer	0.0497215
horsepower	0.0495161
desperado	0.0493663
goody	0.0493212
pandemonium	0.0489745
intangible	0.0485554
Bologna	0.0485443
lovefest	0.048502
harder	0.0484059
"talking head"	0.0483349
jargon	0.048327
self-loathing	0.0479766
"first word"	0.0478118
moralizing	0.047624
misinformation	0.0475885
hand-wringing	0.0475467
marshmallow	0.0472244
stat	0.0470194
hyperbole	0.0469043
grouper	0.0467202
"one line"	0.046645
hand-holding	0.0465285
peep	0.0464373
"God's Will"	0.0462216
mind-set	0.0461608
plasterboard	0.0459407
expedient	0.0458944
giddiness	0.0458546
Legos	0.0456832
good-naturedly	0.0455814
ribbing	0.0455753
"line of questioning"	0.0455334
"raw talent"	0.0452763
proviso	0.0452519
"one go"	0.0451336
"window dressing"	0.0450963
"white bread"	0.0449542
indignity	0.044904
bratwurst	0.0448711
baguette	0.0444049
"loaf of bread"	0.0443766
bumpkin	0.0443113
adjective	0.0442961
intuition	0.0442618
serendipity	0.044251
cross-fertilization	0.0442372
up-front	0.0441805
concoction	0.0441763
asparagus	0.0440674
mozzarella	0.0440646
whore	0.0440607
"free time"	0.0440354
"deja vu"	0.0438366
screed	0.043829
doubter	0.0437621
farce	0.0435435
hassle	0.0434558
Hokey	0.0432113
melodrama	0.0431303
"coming together"	0.0431118
Schmaltz	0.0430724
overstatement	0.0430207
pup	0.0429398
"chicken breast"	0.0429267
gimmickry	0.0428438
charade	0.0428164
caveat	0.0426995
"law of the land"	0.0425912
singer-songwriters	0.0422596
homily	0.0422319
"numbers game"	0.0422149
mouthful	0.042154
ordinariness	0.0421085
"filet mignon"	0.0419677
nonevent	0.0419196
"background noise"	0.0419151
"time machine"	0.0418314
Ness	0.0417781
superstition	0.0417781
"one word"	0.0417682
misstatement	0.0417511
shenanigan	0.0417409
jerky	0.0416264
generalization	0.0414965
negation	0.0413504
storybook	0.0413386
misconception	0.0412936
happenstance	0.0412605
obit	0.0412163
vagabond	0.0411959
"vanilla extract"	0.0411847
drudgery	0.041164
unpredictability	0.040919
"character assassination"	0.0409131
aggravation	0.0407869
cutlet	0.0407775
calamari	0.0407579
bile	0.040606
Wanderlust	0.0405855
hubbub	0.0405805
clunker	0.0404724
"morality play"	0.0404227
weirdo	0.0403488
"water vapor"	0.0403378
))
("Baltasar Garzon" (desc 2019.99) (sims
Garzon	0.163503
Magistrate	0.138972
"Robert Bork"	0.0891371
"Juan Guzman"	0.0850403
Paez	0.0842425
Kumar	0.0742037
Aleman	0.0698769
"David Hale"	0.0632586
Lamberth	0.062493
Arbour	0.06228
Wald	0.061395
Ito	0.0608242
Hastings	0.0596487
conquistador	0.0590007
Kaye	0.0584931
"Richard Williams"	0.057492
Bostonian	0.0565185
"Leon Johnson"	0.0525316
Posner	0.0507175
Sowetan	0.0491761
"Commonwealth Ministerial Action Group"	0.0490678
"El Mundo"	0.0475493
"Felipe Gonzalez"	0.0474202
EPR	0.046892
Festina	0.0463744
"justice of the peace"	0.0462526
"John Collins"	0.0456686
"Robert Ray"	0.0449236
"El Pais"	0.0447204
Sotomayor	0.0446395
"National Gambling Impact Study Commission"	0.0437562
"Industry Ministry"	0.0435976
Ruggiero	0.0433307
"Michael Murphy"	0.0429349
Epstein	0.0428746
Kok	0.0425269
Aznar	0.0411644
"China Democracy Party"	0.0410428
Escobar	0.0404094
Kazhegeldin	0.0401921
REPSOL	0.0401245
"Robert Johnson"	0.0400182
))
(Baltic (desc 3382.63) (sims
"Baltic Sea"	0.183695
"Central Asian"	0.157237
Aegean	0.140761
"Black Sea"	0.125979
Mediterranean	0.125273
"Far Eastern"	0.123326
Adriatic	0.117164
"West African"	0.113302
"Central American"	0.111911
"South Asian"	0.10963
"Red Sea"	0.109465
Caspian	0.105427
"Persian Gulf"	0.103733
ACP	0.100087
"Indian Ocean"	0.0993135
"South Atlantic"	0.0946279
"Southeast Asian"	0.09407
"East African"	0.0935189
"North African"	0.0910499
Balkan	0.0873041
Caribbean	0.0865618
"Damascus Declaration"	0.0843179
"Mediterranean Sea"	0.0838858
"North Atlantic"	0.0831424
Caucasus	0.0821224
Ci	0.081218
E.U	0.0807583
Slavic	0.0806755
"Latin American"	0.0793877
"Western European"	0.0792037
"Pacific Rim"	0.0785909
Mid-Atlantic	0.0783526
"Warsaw Pact"	0.0767739
"Pacific Coast"	0.0764937
BASQUE	0.0753746
"Rocky Mountain"	0.0749934
"Caspian Sea"	0.0745641
"British Isles"	0.0727917
"other eight"	0.0727563
"East European"	0.0720369
"South Pacific"	0.0718675
"Far East"	0.0715631
pacific	0.0715523
Mtwara	0.0711651
Arctic	0.0700141
"Big Sur"	0.0698987
Gulf	0.0685842
"South American"	0.0679639
non-European	0.0678214
"Sea of Japan"	0.0674332
"Turkish Cypriot"	0.0672304
"Asia Pacific"	0.0668677
"Commonwealth of Independent States"	0.0665184
"English Channel"	0.0651323
Stalinist	0.0631788
Mideast	0.0629006
Asia-Pacific	0.0626606
"Andean Group"	0.0622175
WEU	0.0621572
GCC	0.0621171
"Jordan River"	0.061133
Tigray	0.0608044
Kurdish	0.0607519
"Middle Eastern"	0.0605991
Atlantic	0.0605294
G-@@	0.0600851
"Western Pacific"	0.0600682
"Dead Sea"	0.0599279
"Near East"	0.0597736
Soviet	0.0594615
Alcorn	0.0587244
"Central Asia"	0.058705
"East China"	0.0587007
"Baja California"	0.0577531
Alaskan	0.0576142
"Nile River"	0.0574955
"Andean Community"	0.057389
Ingush	0.0562194
SAARC	0.0558101
Thirty-four	0.0550285
SADC	0.0547591
Mullaitivu	0.0544894
"South China"	0.0543422
Forty-two	0.0542697
"other six"	0.0542668
"Eastern European"	0.0541945
"East Europe"	0.0540748
non-Muslim	0.0539174
"North American"	0.0538429
Nile	0.0535091
Forty-four	0.0534636
"other seven"	0.0534202
"Free World"	0.0533581
"Quintana Roo"	0.0533225
Mekong	0.0530554
"Aegean Sea"	0.0528319
Limassol	0.0525993
Danube	0.0523185
"North Sea"	0.0523092
"Lake Erie"	0.0522775
Ecuadoran	0.0522694
Isthmus	0.0519869
"East Asian"	0.0515648
"Arabian Sea"	0.0514465
"Universal Serial Bus"	0.0509584
Kaliningrad	0.0508127
"Third World"	0.0506977
Thirty-nine	0.0504355
Amazonian	0.0501288
"South East Asia"	0.0501126
"East Asia"	0.0498367
G@@	0.0495331
Tanga	0.0493319
CFA	0.0491682
Slovak	0.0483821
Euphrates	0.0481515
"Other @@"	0.0481234
OECD	0.0473433
"other four"	0.0473105
"Southern Africa"	0.047253
Ivorian	0.0470892
"West Africa"	0.0469844
Mercosur	0.046979
"Adriatic Sea"	0.0469782
COMESA	0.0469305
Sakhalin	0.0467486
eco	0.0465919
"Rio Group"	0.0464816
"Orthodox Christian"	0.046447
Michoacan	0.0461995
"Puget Sound"	0.0460452
"other nine"	0.0457694
"other five"	0.0456552
Azerbaijani	0.0456132
"European nation"	0.0454296
Estonia	0.0452099
"West Asia"	0.0449766
Montenegrin	0.0449675
Bosporus	0.0449355
Putumayo	0.0448471
"South Korean"	0.0447602
"Group of Eight"	0.044642
G-@	0.0444501
Brittany	0.0444313
"Caribbean Community"	0.0443441
Oceania	0.0442478
"New York Harbor"	0.0442249
"Northeast Asia"	0.0438731
"Ohio River"	0.0438469
Kerala	0.0437708
"Congo River"	0.0436997
Nagorno-Karabakh	0.0436666
Rhine	0.0436117
"North Africa"	0.0434563
Navajo	0.0432814
OIC	0.0431063
"Group of Seven"	0.0429279
Ecuadorean	0.0428619
FireWire	0.0427674
Turkmen	0.042498
Palawan	0.0424903
Euroland	0.0424654
"North Caucasus"	0.0424209
Hesse	0.0423983
"Colorado River"	0.0423732
"Western European Union"	0.0422558
LDCS	0.0422077
"Untied States"	0.0421766
"North Ossetia"	0.0421573
"Atlantic Ocean"	0.0420687
Trincomalee	0.0419714
signatory	0.0419389
"Great Lakes"	0.0419363
Thirty-three	0.041871
"Bohai Sea"	0.0417783
Khmer	0.0417503
Kyrgyz	0.041611
"Gulf Cooperation Council"	0.0414348
Iceland	0.0413864
Kagera	0.041372
"Lake Victoria"	0.0413618
aquamarine	0.041313
"East Africa"	0.0413122
"Tamil Nadu"	0.0409742
Sixteen	0.0408368
pariah	0.0408348
Assab	0.0407804
Gujarat	0.040706
Moldovan	0.0406081
Appalachian	0.0405603
"East China Sea"	0.0405072
Catskill	0.0404506
Niger	0.04043
Surinam	0.0404198
"Chesapeake Bay"	0.0403624
Cabinda	0.0403024
"United States of America"	0.0402219
forty	0.0402164
Estonian	0.0401185
Khulna	0.0401162
))
("Baltic Sea" (desc 3019.13) (sims
Baltic	0.183695
"Red Sea"	0.182091
"Black Sea"	0.166007
"Caspian Sea"	0.157577
Adriatic	0.151444
"Arctic Ocean"	0.145967
Mediterranean	0.140732
Aegean	0.132911
"Mediterranean Sea"	0.12757
"East China Sea"	0.114073
"Bay of Bengal"	0.112331
"Persian Gulf"	0.111855
"Sea of Japan"	0.111719
"Indian Ocean"	0.111438
"Aegean Sea"	0.108103
"Bohai Sea"	0.103891
"Western Pacific"	0.102678
"Lake Erie"	0.100273
"South Atlantic"	0.0983284
"Far Eastern"	0.097692
Caspian	0.0942452
"Dead Sea"	0.0930076
"Lake Ontario"	0.0920352
"Arabian Sea"	0.091504
"Barents Sea"	0.084559
"South Pacific"	0.0843721
"Yellow Sea"	0.0843544
"San Francisco Bay"	0.0837605
"North Sea"	0.082727
"English Channel"	0.0815677
"Pacific Rim"	0.079998
Caucasus	0.0790641
"South China Sea"	0.0783586
"Beibu Gulf"	0.0780162
Rhine	0.0774048
Atlantic	0.0755457
"Mekong River"	0.0749484
Caprivi	0.074297
"Lake Michigan"	0.0742211
"Bohai Bay"	0.0737087
Kaliningrad	0.0734424
Caribbean	0.0722625
"Big Sur"	0.0721948
"North Atlantic"	0.0710076
Drenica	0.0704475
"Golden Triangle"	0.0693608
"Rocky Mountain"	0.0682958
"Lake Tanganyika"	0.0682219
"Adriatic Sea"	0.0668917
"Chesapeake Bay"	0.0664789
Sakhalin	0.0658551
"Connecticut River"	0.0655841
"Great Lakes"	0.064561
Mtwara	0.0644815
"Lake Victoria"	0.062219
"Mississippi River"	0.0620919
"Puget Sound"	0.0618902
"Pacific Coast"	0.060314
"Gulf of Mexico"	0.0599045
"Pacific Ocean"	0.0590475
Isthmus	0.0583573
Luzon	0.0580738
Badme	0.0573709
"Lake Tahoe"	0.0569473
"Central Asia"	0.0565266
"New York Harbor"	0.0560082
Puglia	0.0556186
Bekaa	0.0547888
"Rio Group"	0.0546966
non-Muslim	0.0546041
"Missouri River"	0.0539739
"Congo River"	0.0539686
"North Maluku"	0.0538798
"Arabian Peninsula"	0.0533084
Sipadan	0.0530386
"French Alps"	0.0528058
"Manila Bay"	0.0527621
"Colorado River"	0.0526675
Catskill	0.0525568
Decani	0.0525127
Balkan	0.0520218
"Group of Rio"	0.0518816
"Pearl River Delta"	0.0517369
Asia-Pacific	0.0507762
Tigray	0.0505036
Tanga	0.0501227
Nagorno-Karabakh	0.0500687
"Niger Delta"	0.0496285
"Near East"	0.049626
"South Asian"	0.0495359
multi-ethnic	0.0494648
"Long Island Sound"	0.0493359
"West African"	0.0490566
"Central Asian"	0.049013
Krasnoyarsk	0.0489708
"Florida Straits"	0.0487776
"Far East"	0.0487746
Siberia	0.0485012
"Southern Ocean"	0.0477725
"Interstate @"	0.0477536
Qomolangma	0.0477087
"Taiwan Straits"	0.0476594
"Group of Seven"	0.0475736
"Taihu Lake"	0.0471309
Crimea	0.0471092
Danube	0.0470256
Mekong	0.0468853
Bamiyan	0.0468445
Aqaba	0.0467948
Cabinda	0.0464008
"British Isles"	0.0463435
Belacevac	0.0459965
archipelago	0.0459668
"a few kilometers"	0.0459012
Rubicon	0.0458649
Alsace	0.0458296
Seine	0.0457414
Mid-Atlantic	0.0455036
"southern hemisphere"	0.0452007
Pyrenees	0.0447115
Sinai	0.0446234
Galilee	0.0446073
"Atlantic Ocean"	0.0444955
"Orthodox Christian"	0.0444621
"Suez Canal"	0.0444025
"Potomac River"	0.0443974
"East River"	0.0443591
"Arctic Circle"	0.0437665
Abkhazia	0.0437057
"North Africa"	0.0435686
Khabarovsk	0.0434909
"East Asian"	0.0433826
"East Asia"	0.0429904
Umbria	0.0428995
"territorial water"	0.0427463
"Caribbean Sea"	0.0425956
Posoltega	0.0425007
"Group of Eight"	0.0422745
"Victoria Harbor"	0.0420692
Alps	0.0419348
Uvira	0.041849
Zhangjiajie	0.0416359
"Gulf Coast"	0.0414815
"Panama Canal"	0.0409524
"Quintana Roo"	0.0409374
Phoenician	0.0408198
Batam	0.0407907
"Andean Community"	0.0406824
Chesapeake	0.0406311
"Asia Pacific"	0.0405291
"Hudson River"	0.0404068
"North Caucasus"	0.0402148
Euphrates	0.0400792
"Middle Eastern"	0.0400292
))
(Baltics (desc 1347.28) (sims
GATT	0.0789215
Caucasus	0.0781392
"Commonwealth of Independent States"	0.0746452
"Central Asia"	0.0723707
Estonia	0.0708965
Czechoslovakia	0.0671364
"West Asia"	0.0669182
Latvia	0.0644427
"West Germany"	0.0593612
"Slovak Republic"	0.0590214
Scandinavia	0.0565775
Iceland	0.0549183
"European nation"	0.0535374
Ci	0.0528586
"St. Kitts and Nevis"	0.0522617
"China National Petroleum Corporation"	0.0510656
"Philadelphia Orchestra"	0.0508112
CPAFFC	0.0504587
"Bosnian Serb Republic"	0.0498023
"Council of Europe"	0.0488159
Ershad	0.0487006
"South American nation"	0.0469333
Luxemburg	0.0468914
euro-zone	0.046664
"mind's eye"	0.0465236
"Democratic Congo"	0.0461028
Kirghizstan	0.0454824
"Victor Chernomyrdin"	0.0448805
"All-China Journalists Association"	0.0446191
"Scandinavian country"	0.0439905
Goff	0.0437148
"Andean Group"	0.043611
"medical community"	0.0429141
"National Front"	0.0428783
Terps	0.0428224
"legal profession"	0.0427655
"Unites States"	0.0426748
ACWF	0.0425837
"Russian Federation"	0.0425308
"South American country"	0.0424249
"Sinai Peninsula"	0.0423877
"Equatorial Guinea"	0.0422072
Princeville	0.0418028
SEABROOK	0.0416787
"Southern Baptist Convention"	0.0414598
Sugiyama	0.0414314
"Yosemite National Park"	0.0413026
"Jordan River"	0.0412901
CITIC	0.0411453
Burma	0.0410616
Lafleur	0.0404015
"China National Tourism Administration"	0.0402217
"Legend Group"	0.0401233
))
(Baltimore (desc 70478.8) (sims
Cleveland	0.294817
Detroit	0.28612
Pittsburgh	0.27611
Seattle	0.265823
"Kansas City"	0.264418
"St. Louis"	0.26325
Cincinnati	0.263195
Toronto	0.261241
Philadelphia	0.260967
Milwaukee	0.259354
"San Diego"	0.258268
Oakland	0.257914
Chicago	0.251749
Boston	0.248068
Montreal	0.246044
"Tampa Bay"	0.243249
Houston	0.241936
Atlanta	0.239325
"San Francisco"	0.238103
Denver	0.238059
Dallas	0.231589
ANAHEIM	0.221422
"New Orleans"	0.219074
Phoenix	0.219052
"Los Angeles"	0.217897
Buffalo	0.217454
Minnesota	0.2132
Miami	0.208444
"Green Bay"	0.20256
Indianapolis	0.197297
Portland	0.196559
Vancouver	0.195168
"San Antonio"	0.193704
Jacksonville	0.191422
Orlando	0.19116
Orioles	0.187447
Nashville	0.185327
"New York"	0.182478
Arizona	0.182162
"San Jose"	0.179502
Colorado	0.177871
"Chicago White Sox"	0.176074
Sacramento	0.174146
Carolina	0.172687
Minneapolis	0.172396
Edmonton	0.171929
Tampa	0.168748
Charlotte	0.168335
Columbus	0.165526
"Chicago Cubs"	0.164516
Calgary	0.163583
Florida	0.155274
Memphis	0.155215
Yankee	0.15217
Mets	0.150652
"New York Mets"	0.149828
Texas	0.146888
Washington	0.146628
Newark	0.145057
"N.Y. Yankees"	0.144235
Ottawa	0.143891
"New Jersey"	0.143475
"New York Giants"	0.142878
Louisville	0.142147
Tennessee	0.140397
"Las Vegas"	0.140015
dodger	0.139643
"White Sox"	0.139584
Phillies	0.139143
Hartford	0.136975
Syracuse	0.136954
"New England"	0.135733
ASTROS	0.135698
Austin	0.135034
Richmond	0.134817
Giants	0.134601
"Los Angeles Dodgers"	0.134457
"New York Jets"	0.134024
"Baltimore Orioles"	0.133978
Honolulu	0.133796
brave	0.132316
cub	0.131641
Padre	0.13043
Utah	0.129427
Albany	0.129235
"New York Yankees"	0.128953
Indiana	0.128084
mariner	0.127426
"Red Sox"	0.126828
ranger	0.126454
Tucson	0.125927
A's	0.12571
"New York City"	0.124801
Providence	0.124683
"blue jay"	0.123891
"Cleveland Indians"	0.122932
diamondback	0.121822
Birmingham	0.120267
marlin	0.119883
"Fort Lauderdale"	0.119091
"Salt Lake City"	0.118988
"St. Petersburg"	0.117873
"Fort Worth"	0.117659
"Long Beach"	0.117627
"New Haven"	0.117456
"Golden State"	0.116367
Albuquerque	0.11613
Royals	0.116037
"Atlanta Braves"	0.115387
"Detroit Tigers"	0.115303
cardinal	0.114602
LONDON	0.113803
"Boston Red Sox"	0.113143
"St. Louis Cardinals"	0.112448
"West Palm Beach"	0.111754
"Mexico City"	0.111657
"devil ray"	0.110913
"New York Islanders"	0.110788
"Southern California"	0.110396
L.A	0.109251
Havana	0.108041
angel	0.108038
"Houston Astros"	0.107585
Brooklyn	0.106437
"Cincinnati Reds"	0.106097
Rockies	0.105954
"North Carolina"	0.105441
Rochester	0.105035
Arlington	0.104848
"Kansas City Royals"	0.104662
Omaha	0.104419
Sox	0.103944
Kentucky	0.103939
"Oklahoma City"	0.10385
Michigan	0.103716
Oklahoma	0.103551
Dayton	0.103082
"Pittsburgh Pirates"	0.102968
"San Juan"	0.10296
Charleston	0.102478
"Des Moines"	0.102371
Alabama	0.102268
Expo	0.102105
Tulsa	0.101921
"Florida Marlins"	0.101793
Raleigh	0.101778
"New York Rangers"	0.101349
Arkansas	0.101024
"Los Angeles Lakers"	0.100638
"Los Angeles Clippers"	0.100536
"Montreal Expos"	0.100433
Greenville	0.100261
"Texas Rangers"	0.09981
pirate	0.099587
Wilmington	0.0994809
Nebraska	0.0994579
"Milwaukee Brewers"	0.0993686
"Arizona Diamondbacks"	0.0991807
Hawaii	0.099148
"San Diego Padres"	0.0986868
"Seattle Mariners"	0.0986625
Oregon	0.0985455
"Little Rock"	0.0983798
California	0.098272
"Philadelphia Phillies"	0.0982536
"San Francisco Giants"	0.0976638
Seahawks	0.0975925
Kansas	0.0974478
Wisconsin	0.0973296
Norfolk	0.0969234
"Ohio State"	0.0967293
TRENTON	0.0966202
Tokyo	0.0962441
Virginia	0.0960844
Connecticut	0.0956467
"Colorado Rockies"	0.0955317
islander	0.0954222
clipper	0.0948972
Cambridge	0.0947439
Akron	0.094709
Georgia	0.0945027
Lakers	0.094414
"Anaheim Angels"	0.0943332
"Toronto Blue Jays"	0.0942703
Purdue	0.0940906
Paris	0.0940526
Maryland	0.0935534
"Baltimore Ravens"	0.093196
"Arizona State"	0.0930372
brewer	0.0926707
Fresno	0.0925854
Eagles	0.0923285
"Washington Redskins"	0.0920737
Berlin	0.0916083
Raven	0.0915583
Spokane	0.0913521
MELBOURNE	0.0909756
Knicks	0.09079
UCLA	0.090749
"El Paso"	0.0905108
))
("Baltimore Colts" (desc 1948.43) (sims
"Minnesota Vikings"	0.178781
"Green Bay Packers"	0.176196
"New England Patriots"	0.156177
"New Orleans Saints"	0.155135
"Washington Redskins"	0.15067
"Denver Broncos"	0.146275
"New York-New Jersey MetroStars"	0.146156
"Arizona Cardinals"	0.145432
"Pittsburgh Steelers"	0.135228
"Kansas City Chiefs"	0.131108
"San Diego Chargers"	0.129491
"San Francisco @@ers"	0.129407
"Baltimore Ravens"	0.129114
"ATLANTA FALCONS"	0.122782
"Philadelphia Eagles"	0.119983
"Calgary Flames"	0.119341
"Miami Dolphins"	0.112381
"Tampa Bay Buccaneers"	0.109862
"New York Jets"	0.10977
"Dallas Burn"	0.109356
"Indianapolis Colts"	0.108026
"Los Angeles Rams"	0.105695
"CHARLOTTE STING"	0.105649
"Denver Nuggets"	0.105456
"Dallas Cowboys"	0.105358
"Nashville Predators"	0.104272
"New York Giants"	0.103443
"New York Liberty"	0.103205
"Philadelphia Flyers"	0.102663
"Chicago Bears"	0.101177
"Buffalo Bills"	0.101028
"Golden State Warriors"	0.10008
"Seattle Seahawks"	0.0983176
"St. Louis Rams"	0.0968198
"Atlanta Hawks"	0.0961502
"Anaheim Mighty Ducks"	0.0953473
"Jacksonville Jaguars"	0.0943391
"Tennessee Titans"	0.0912382
"Cincinnati Bengals"	0.0911104
"Dallas Mavericks"	0.0908928
"Detroit Red Wings"	0.0904503
"Washington Wizards"	0.0882908
"Detroit Lions"	0.0882738
"Miami Fusion"	0.0882725
"Tampa Bay Lightning"	0.08824
"Edmonton Oilers"	0.0882394
"Chicago Blackhawks"	0.0881687
"Utah State"	0.0880834
"Detroit Pistons"	0.0877319
"Toronto Maple Leafs"	0.0869733
"Banshee Breeze"	0.0862296
"Los Angeles Sparks"	0.086092
"Orlando Magic"	0.0848924
Redskin	0.0847732
"Maple Leafs"	0.0845236
"New Jersey Devils"	0.0835183
"Seibu Lions"	0.083516
"Chicago Fire"	0.0830855
"Houston Oilers"	0.082894
"Buffalo Sabres"	0.0826604
"Phoenix Coyotes"	0.0826104
"Oakland Raiders"	0.0820472
"Miami Heat"	0.0814737
"Milwaukee Bucks"	0.0810948
"Montreal Canadiens"	0.080769
"Brooklyn Dodgers"	0.0801853
"St. Louis Cardinals"	0.0800671
"Indiana Pacers"	0.0792137
"Utah Jazz"	0.0788661
Cornhusker	0.0787455
"Pittsburgh Penguins"	0.0776268
"Cleveland Browns"	0.0772343
"Super Eagles"	0.0768672
"Seattle SuperSonics"	0.0766157
"Washington Mystics"	0.0762775
"Boston Celtics"	0.0755948
Terps	0.0750469
"San Jose Sharks"	0.075025
"Tar Heels"	0.0746008
"Vancouver Grizzlies"	0.0745998
"Southern Cal"	0.0744645
"Renzo Furlan"	0.0741393
"Los Angeles Kings"	0.0739689
"Washington Capitals"	0.0739368
"Fighting Irish"	0.0737438
"Ottawa Senators"	0.0734532
"Cleveland Cavaliers"	0.0731522
"Baltimore Orioles"	0.0725393
Springbok	0.0723431
"Charlotte Hornets"	0.0722726
"Atlanta Thrashers"	0.0722421
raider	0.0717464
"Phoenix Suns"	0.0714829
"St. Louis Blues"	0.0709542
"New York Rangers"	0.0709338
"Toronto Raptors"	0.0707687
"Arizona State"	0.070542
"Vancouver Canucks"	0.0704712
"Phoenix Mercury"	0.0703307
"Houston Comets"	0.0701857
Wolverine	0.069025
"San Antonio Spurs"	0.0689911
"Cincinnati Reds"	0.0688562
"Crimson Tide"	0.0679797
"Los Angeles Clippers"	0.0677577
Nicol	0.0672648
"Houston Rockets"	0.0671401
"Catalina Cristea"	0.0671156
"Philadelphia Phillies"	0.067102
"Carolina Hurricanes"	0.0668304
"Oklahoma State"	0.0667112
"Hernan Gumy"	0.066115
"Tatiana Panova"	0.0656854
"Los Angeles Lakers"	0.065685
Jayhawks	0.0656057
packer	0.0649616
"Ivan Lendl"	0.0646191
"Sacramento Kings"	0.0645651
Mantilla	0.0640301
"baseball club"	0.0639983
"Trail Blazers"	0.063787
"New Jersey Nets"	0.0636439
"Iva Majoli"	0.0635575
Jansher	0.0634611
"San Francisco Giants"	0.0632796
Chilukki	0.0631318
"Scotty Bowman"	0.0631297
Likhovtseva	0.0629494
"Kansas City Royals"	0.0627598
"Minnesota Twins"	0.0624413
"Florida Panthers"	0.062213
"Anne-Gaelle Sidot"	0.0621981
"Montreal Expos"	0.0616375
"Boston Bruins"	0.0615684
"Chicago Bulls"	0.0614937
Supersonics	0.0610719
"Minnesota Timberwolves"	0.060663
"Phenix City"	0.0601424
"Milwaukee Brewers"	0.0599508
"New York Knicks"	0.0598904
"Jenny Chuasiriporn"	0.0594649
"Carolina Panthers"	0.0592166
Timberwolves	0.0591485
"D.C. United"	0.058873
"Southern Methodist"	0.0588659
"New York Islanders"	0.0586511
"Atlanta Braves"	0.0586499
"Team USA"	0.0585387
"Albert Portas"	0.0584128
"Kansas State"	0.0583917
"Wayne Black"	0.0582065
"Ai Sugiyama"	0.0581899
"Patty Schnyder"	0.0581234
"Cleveland Indians"	0.0580756
"Mississippi State"	0.0580464
"Franco Squillari"	0.0580137
"Los Angeles Galaxy"	0.0579541
"American Michael Chang"	0.057704
"Dallas Stars"	0.0576992
"Walter Mondale"	0.0576603
"Yokohama Baystars"	0.0575928
"Portland Trail Blazers"	0.0573805
Wolfpack	0.0573464
"Houston Astros"	0.0573163
MetroStars	0.0572677
"Penn State"	0.0572658
Villanova	0.0572351
"San Diego Padres"	0.0572257
"Andre Agassi"	0.0569729
"Texas longhorn"	0.0569717
"Seton Hall"	0.0568186
"Stars &AMP; Stripes"	0.0564442
"Tampa Bay Devil Rays"	0.0564272
"Chicago Cubs"	0.0563096
"Negro Leagues"	0.056239
"Oregon State"	0.0561819
"Fresno State"	0.0561633
"Christian Ruud"	0.0561591
"Martin Damm"	0.0559871
LSU	0.0559409
"blue devil"	0.0558752
gopher	0.0558663
"Magdalena Maleeva"	0.0558005
Starzz	0.0557059
Seminoles	0.0555759
"Todd Martin"	0.0555319
"TOMS RIVER"	0.0555125
"Deon Hemmings"	0.055491
"Pittsburgh Pirates"	0.055485
Opry	0.0552094
"Magui Serna"	0.0549318
"Fabrice Santoro"	0.0549164
"Jerome Golmard"	0.0548189
"Bafana Bafana"	0.0547701
"Seattle Mariners"	0.0544866
"Sebastien Lareau"	0.0541085
"Toronto Blue Jays"	0.0541048
"Chris Woodruff"	0.0540778
"Red Bullet"	0.0540563
"Bayern Munich"	0.0539617
))
("Baltimore Orioles" (desc 17854.5) (sims
"Detroit Tigers"	0.300007
Orioles	0.283123
"San Diego Padres"	0.276772
"Boston Red Sox"	0.271217
"Cincinnati Reds"	0.267663
"Kansas City Royals"	0.26271
"Cleveland Indians"	0.26219
"San Francisco Giants"	0.259236
"Houston Astros"	0.259085
"Pittsburgh Pirates"	0.256254
"St. Louis Cardinals"	0.25117
"Texas Rangers"	0.245278
"New York Mets"	0.245185
"New York Yankees"	0.242143
"Arizona Diamondbacks"	0.24117
"Los Angeles Dodgers"	0.240192
"Milwaukee Brewers"	0.238888
"Philadelphia Phillies"	0.238562
"Atlanta Braves"	0.237693
"Anaheim Angels"	0.235473
"Oakland Athletics"	0.234791
"Chicago White Sox"	0.233481
"Colorado Rockies"	0.22667
"Chicago Cubs"	0.225764
"Toronto Blue Jays"	0.221896
"Florida Marlins"	0.219344
"Minnesota Twins"	0.21708
"Montreal Expos"	0.212685
"Seattle Mariners"	0.211038
"Tampa Bay Devil Rays"	0.198728
A's	0.186113
diamondback	0.175963
Mets	0.174904
"blue jay"	0.174699
"White Sox"	0.173924
Phillies	0.167429
"devil ray"	0.162007
"Red Sox"	0.160158
dodger	0.159881
"California Angels"	0.159323
ASTROS	0.159221
Yankee	0.158507
cub	0.157406
Padre	0.156768
brave	0.150545
Giants	0.14807
"Washington Redskins"	0.144375
mariner	0.143993
ranger	0.140747
"New York Giants"	0.137381
marlin	0.13732
angel	0.135017
"Vancouver Canucks"	0.134106
Baltimore	0.133978
Royals	0.133787
Cleveland	0.132884
"Calgary Flames"	0.129602
"Golden State Warriors"	0.1287
"Carolina Hurricanes"	0.128672
"Dallas Mavericks"	0.127919
"Tampa Bay"	0.127059
"Miami Dolphins"	0.127019
"Philadelphia Flyers"	0.124676
"Washington Wizards"	0.124668
cardinal	0.122875
"Florida Panthers"	0.122285
Oakland	0.122162
pirate	0.121982
Rockies	0.120417
"Brooklyn Dodgers"	0.119839
"Tampa Bay Lightning"	0.118553
"Edmonton Oilers"	0.118546
"Montreal Canadiens"	0.116461
"Detroit Red Wings"	0.115886
"Ottawa Senators"	0.114615
"New York Rangers"	0.114394
"Detroit Pistons"	0.114119
"Utah Jazz"	0.113574
"Los Angeles Clippers"	0.112744
"Los Angeles Lakers"	0.112315
Expo	0.111888
"Los Angeles Kings"	0.111615
ANAHEIM	0.111275
"New York Knicks"	0.110745
"Minnesota Vikings"	0.110416
"Chicago Bears"	0.110284
"New Orleans Saints"	0.11002
"San Diego Chargers"	0.109936
"Chicago Bulls"	0.109425
"Toronto Raptors"	0.108941
"Pittsburgh Penguins"	0.108911
"Toronto Maple Leafs"	0.108871
"San Jose Sharks"	0.108381
"New York Jets"	0.108363
"Atlanta Hawks"	0.107773
"Arizona Cardinals"	0.107506
Cincinnati	0.107403
Indian	0.107021
"New Jersey Nets"	0.106661
"Houston Rockets"	0.106576
"Indianapolis Colts"	0.106485
"Sacramento Kings"	0.106122
"Denver Nuggets"	0.105941
"Buffalo Sabres"	0.105834
"Milwaukee Bucks"	0.105613
"Miami Heat"	0.10561
"Buffalo Bills"	0.105545
"New York Islanders"	0.105215
"San Antonio Spurs"	0.105214
"Phoenix Suns"	0.104931
"Green Bay Packers"	0.104519
"Phoenix Coyotes"	0.104201
"Red Wings"	0.104082
Toronto	0.104057
"Philadelphia Eagles"	0.103818
brewer	0.103476
"Cleveland Browns"	0.102989
"Chicago Blackhawks"	0.102325
"Dallas Cowboys"	0.10224
"Minnesota Timberwolves"	0.101923
"Baltimore Ravens"	0.101884
Detroit	0.100718
"St. Louis Rams"	0.10027
Lakers	0.100257
"Tennessee Titans"	0.0998683
Celtics	0.0996519
"Oakland Raiders"	0.099162
Sox	0.0991343
"Washington Senators"	0.0984572
"Boston Celtics"	0.098232
"Kansas City Chiefs"	0.0979147
"Charlotte Hornets"	0.0975592
"Vancouver Grizzlies"	0.0974231
Milwaukee	0.0973791
"St. Louis"	0.0973321
"Colorado Avalanche"	0.0962192
Canadiens	0.0962095
"Maple Leafs"	0.0958379
"Seattle Seahawks"	0.0958369
"Dallas Stars"	0.0954722
Seahawks	0.0954285
"New England Patriots"	0.0951741
"Indiana Pacers"	0.0951586
"Nashville Predators"	0.0948865
"Denver Broncos"	0.0946319
"Miami Fusion"	0.0944429
tiger	0.0942445
"New Jersey Devils"	0.094114
"San Francisco @@ers"	0.094104
Redskin	0.094025
Montreal	0.0938539
"Mighty Ducks"	0.0934623
clipper	0.0932873
Canuck	0.0931179
"Washington Capitals"	0.0930714
Knicks	0.0925146
Pittsburgh	0.0920803
"Pittsburgh Steelers"	0.0912786
"Portland Trail Blazers"	0.0912227
Colorado	0.0907887
"San Diego"	0.0907125
Blackhawks	0.090622
"New York Liberty"	0.0906059
"Dallas Burn"	0.0903766
oiler	0.0899264
"Boston Bruins"	0.0895555
"Seattle SuperSonics"	0.0887199
"Kansas City"	0.088646
panther	0.0876964
Minnesota	0.0875541
"Orlando Magic"	0.0875156
Eagles	0.0872757
BEARS	0.0869848
Bengals	0.085791
Seattle	0.0852718
"St. Louis Blues"	0.0848192
Hornet	0.0843422
"Phenix City"	0.0841161
packer	0.0839002
"Detroit Lions"	0.0832967
hawk	0.0832509
"ATLANTA FALCONS"	0.0831455
"Cincinnati Bengals"	0.0829873
Sonics	0.0823962
MetroStars	0.082115
"New York-New Jersey MetroStars"	0.0819858
Carolina	0.0812543
falcon	0.0811245
piston	0.0809043
bruin	0.0808706
"Tampa Bay Buccaneers"	0.0803766
"Green Bay"	0.0803448
"Arizona State"	0.0802799
"Carolina Panthers"	0.0800644
LSU	0.0798193
Arizona	0.079556
maverick	0.0794728
Timberwolves	0.0793618
pacer	0.0792117
red	0.0791356
))
("Baltimore Ravens" (desc 7118.36) (sims
"Kansas City Chiefs"	0.25775
"Oakland Raiders"	0.216394
"Tampa Bay Buccaneers"	0.215687
"New Orleans Saints"	0.215464
"Pittsburgh Steelers"	0.21173
"Washington Redskins"	0.203913
"Indianapolis Colts"	0.203638
"Miami Dolphins"	0.198701
"Detroit Lions"	0.197779
"Cleveland Browns"	0.197708
"Minnesota Vikings"	0.19328
"Green Bay Packers"	0.192307
"Buffalo Bills"	0.185992
"New England Patriots"	0.185362
"San Diego Chargers"	0.184228
"St. Louis Rams"	0.183904
"Denver Broncos"	0.182412
"New York Jets"	0.18199
"Carolina Panthers"	0.179494
"San Francisco @@ers"	0.17911
"Philadelphia Eagles"	0.172883
"Tennessee Titans"	0.169336
Raven	0.16596
"Chicago Bears"	0.164905
"Seattle Seahawks"	0.164351
"ATLANTA FALCONS"	0.163713
"Arizona Cardinals"	0.163672
"New York Giants"	0.163109
"Cincinnati Bengals"	0.158594
"Jacksonville Jaguars"	0.146226
"Dallas Cowboys"	0.133617
"Baltimore Colts"	0.129114
"Charlotte Hornets"	0.128555
"Milwaukee Brewers"	0.127701
"Golden State Warriors"	0.124122
"Los Angeles Clippers"	0.121071
Seahawks	0.116682
Redskin	0.116658
"Phoenix Suns"	0.115513
BEARS	0.113973
charger	0.110007
Giants	0.109955
packer	0.109816
"Calgary Flames"	0.108971
"Milwaukee Bucks"	0.108886
"St. Louis Cardinals"	0.108223
"New Jersey Nets"	0.107796
"Tampa Bay Devil Rays"	0.106043
patriot	0.103231
"Los Angeles Lakers"	0.102673
"Montreal Expos"	0.102658
falcon	0.102394
"Baltimore Orioles"	0.101884
"Tampa Bay Lightning"	0.100928
"Vancouver Canucks"	0.100053
"New York Islanders"	0.100014
"Los Angeles Dodgers"	0.0999519
"Washington Wizards"	0.0999394
"Detroit Tigers"	0.0985938
"Minnesota Timberwolves"	0.0983136
"Pittsburgh Penguins"	0.0978889
"Dallas Mavericks"	0.0969714
bronco	0.0969181
"Boston Bruins"	0.0964439
cowboy	0.0962599
"Sacramento Kings"	0.0960891
"Toronto Raptors"	0.0957155
"Tampa Bay"	0.0950983
"Ottawa Senators"	0.0950264
"Miami Heat"	0.0946186
"San Antonio Spurs"	0.0945087
"Chicago Bulls"	0.0943144
Baltimore	0.093196
"Cincinnati Reds"	0.0929783
raider	0.092665
"Atlanta Hawks"	0.0926122
"New Jersey Devils"	0.0925848
Steelers	0.0921253
"Chicago Blackhawks"	0.091853
"New York Rangers"	0.0900393
"Detroit Pistons"	0.0894791
"Boston Celtics"	0.0890135
"Washington Capitals"	0.0889999
"Toronto Maple Leafs"	0.0888655
"Utah Jazz"	0.0885885
"Detroit Red Wings"	0.0885523
"New York Knicks"	0.0880391
"Indiana Pacers"	0.0877772
Eagles	0.0877549
"Orlando Magic"	0.0876504
"Denver Nuggets"	0.0873026
cardinal	0.0867873
Bengals	0.0855608
"Arizona Diamondbacks"	0.0849967
"Pittsburgh Pirates"	0.0847964
"San Diego Padres"	0.0847554
"New York-New Jersey MetroStars"	0.0845779
Celtics	0.0839927
ram	0.0834488
"Anaheim Angels"	0.0831665
Timberwolves	0.0830714
"Nashville Predators"	0.0828477
"Green Bay"	0.0821418
Viking	0.0820713
panther	0.0819881
"Chicago Cubs"	0.0819714
"Colorado Rockies"	0.0816823
"Houston Rockets"	0.0812473
oiler	0.0809197
thrasher	0.0806493
dolphin	0.0805856
"Portland Trail Blazers"	0.0804383
Phillies	0.0801784
"Edmonton Oilers"	0.0799507
"Texas Rangers"	0.0794017
"Kansas City Royals"	0.0791034
"Minnesota Twins"	0.0787078
"Los Angeles Kings"	0.0782824
"Atlanta Thrashers"	0.0782747
"Seattle Mariners"	0.0780252
"Florida Panthers"	0.0779335
"Boston Red Sox"	0.0778972
clipper	0.0778501
"Florida Marlins"	0.0774566
"New York Mets"	0.0771289
titan	0.0768559
Canadiens	0.0764534
"Houston Oilers"	0.0763715
"Philadelphia Flyers"	0.0763508
Carolina	0.0760981
Canuck	0.0760934
"Carolina Hurricanes"	0.0760845
Orioles	0.0760104
"Cleveland Cavaliers"	0.0759717
Bucs	0.0755927
Hornet	0.075471
"San Francisco Giants"	0.0752281
"Crimson Tide"	0.0750671
"Houston Astros"	0.0743993
"Colorado Avalanche"	0.0740797
"D.C. United"	0.0730477
Raptor	0.0728878
"Cleveland Indians"	0.0727626
Lakers	0.0725642
"New York Yankees"	0.0722058
"Los Angeles Rams"	0.0717869
"National Football League"	0.0716374
"Golden State"	0.0710297
"Philadelphia Phillies"	0.070833
"Montreal Canadiens"	0.0705619
"San Jose Sharks"	0.0697978
diamondback	0.0697283
"Red Wings"	0.0695982
"New York Liberty"	0.069534
"Montana State"	0.069396
colt	0.0691782
"North Carolina State"	0.0691391
Sonics	0.0690748
piston	0.0688912
dodger	0.0686723
"Chicago White Sox"	0.0684967
brewer	0.0680995
MetroStars	0.0679861
"Utah State"	0.0677357
Padre	0.0676158
"Maple Leafs"	0.0676091
"Cal State Northridge"	0.0673448
marlin	0.0670703
"Notre Dame"	0.0669174
"Ohio State"	0.0668041
"Dallas Stars"	0.0666098
"Vancouver Grizzlies"	0.0666002
"Anaheim Mighty Ducks"	0.066485
"Seattle SuperSonics"	0.0664448
"Phoenix Coyotes"	0.0657889
Clemson	0.0656051
"Virginia Tech"	0.0655514
maverick	0.0653829
Mets	0.0651203
"Arizona State"	0.0648727
"Atlanta Braves"	0.0648063
Cleveland	0.0641734
sixer	0.0638916
"Oregon State"	0.0636046
Saint	0.063592
Minnesota	0.0635912
Cavs	0.0635686
flyer	0.0634262
cavalier	0.063049
"Washington State"	0.0629093
"White Sox"	0.0626601
Jacksonville	0.0625654
USC	0.0619787
"Oakland Athletics"	0.0619628
"Florida State"	0.0616922
UCLA	0.0616439
"Los Angeles Galaxy"	0.0616177
"blue jay"	0.0613346
"St. Louis Blues"	0.0609437
"Louisiana Tech"	0.0604868
))
(balustrade (desc 1247.07) (sims
mantelpiece	0.0998725
staircase	0.092968
molding	0.090252
chandelier	0.0886522
statuary	0.0810447
sarcophagus	0.0798182
headboard	0.0793877
wainscoting	0.0786462
ornamentation	0.078137
fireplace	0.0749971
frieze	0.0749359
"street lamp"	0.0728724
Stairway	0.0702259
"walking stick"	0.0696978
"drawing room"	0.068976
stele	0.0676203
"window frame"	0.0671231
lamppost	0.0664409
mezzanine	0.065606
"dining table"	0.0636678
headstone	0.0626836
woodwork	0.0594603
"bell tower"	0.0593524
settee	0.0586774
lampshade	0.0570189
Sphinx	0.0565485
"stone wall"	0.0565135
mantel	0.0563762
paneling	0.0560978
totem	0.0559109
"card table"	0.0519775
urn	0.0519477
chalice	0.0501086
candelabra	0.0497498
vas	0.0494731
manse	0.0491585
"easy chair"	0.0489208
atrium	0.0477222
seashell	0.0474195
escalator	0.0473923
doorknob	0.0472302
"wedding cake"	0.0469203
"shower stall"	0.0468175
"white person"	0.0461914
gravestone	0.0456337
archway	0.044674
seawall	0.0444503
paperweight	0.0443578
promenade	0.0438562
cherub	0.0434885
"totem pole"	0.0434266
"evening bag"	0.0428853
"sitting room"	0.0425926
Esplanade	0.0425914
"piece of cloth"	0.0424747
"power cable"	0.0417387
"wall painting"	0.0416226
"telephone pole"	0.0415999
frill	0.0414808
crock	0.0412116
"Mike Miller"	0.0408673
Rosewood	0.0408661
rotunda	0.0406256
sixth-grader	0.0406075
"wall hanging"	0.0400716
))
(Balzac (desc 3331.13) (sims
Tolstoy	0.167885
"Victor Hugo"	0.164794
Austen	0.140881
Steinbeck	0.126459
"Graham Greene"	0.123377
Kafka	0.117887
Dickens	0.11604
"John Irving"	0.10736
Pushkin	0.105334
Dostoyevsky	0.104914
"Elmore Leonard"	0.103978
"Lu Xun"	0.103719
Melville	0.101837
"James Jones"	0.101515
Carre	0.100442
"Henry James"	0.100262
"Stephen King"	0.0970961
"Toni Morrison"	0.0969905
Wilde	0.0894158
Hawthorne	0.0887787
Grisham	0.0877523
Hemingway	0.0864296
"Oscar Wilde"	0.0838909
"John Grisham"	0.0827597
"Philip Roth"	0.0825728
Voltaire	0.0819607
"Gabriel Garcia Marquez"	0.0819006
"E.L Doctorow"	0.0808949
Nabokov	0.0807917
Rousseau	0.0797314
"Charles Dickens"	0.0785975
Chekhov	0.0781066
"Tom Wolfe"	0.0780199
Moliere	0.0776682
"Edith Wharton"	0.0771648
"James Joyce"	0.0764251
"Jane Austen"	0.0762281
"George Orwell"	0.073333
"Herman Melville"	0.0729553
Updike	0.0700888
Proust	0.0697343
Saint-Exupery	0.0677818
Joyce	0.0677292
"Michael Crichton"	0.0672349
"Raymond Chandler"	0.0671856
"Ralph Ellison"	0.0667204
Zola	0.0658605
"F. Scott Fitzgerald"	0.0647644
Burroughs	0.064527
"Karl Marx"	0.0643294
"John Steinbeck"	0.0643114
"Vladimir Nabokov"	0.0643028
"Ernest Hemingway"	0.0642736
Poe	0.0642273
Welty	0.0625622
Trollope	0.0625377
Kerouac	0.0624245
"Kurt Vonnegut"	0.0622026
"George Bernard Shaw"	0.061774
"Mark Twain"	0.0607617
"William Faulkner"	0.0605129
Chappell	0.0601279
Dumas	0.0599669
Susann	0.059345
"David Mamet"	0.05891
McEwan	0.0560768
"Sherlock Holmes"	0.0556499
"Jack Kerouac"	0.0551736
Goethe	0.0543413
"Lewis Carroll"	0.0539845
"Larry McMurtry"	0.0532945
"Edgar Allan Poe"	0.0528941
Borges	0.0527824
"Dr. Sun Yat-Sen"	0.0526025
Wolfe	0.0522787
Plante	0.0522768
Sade	0.0513165
Orwell	0.0512129
Clinton-Lewinsky	0.0509264
Eliot	0.0507396
Kincaid	0.050731
Rowling	0.0500751
"Saul Bellow"	0.0497199
Spenser	0.0497096
Rushdie	0.0493883
Twain	0.0493389
Solzhenitsyn	0.0490233
"Three and Four"	0.0489895
McMurtry	0.0488407
Puzo	0.0486641
Ibsen	0.0482505
"Samuel Beckett"	0.0481627
Dante	0.0480897
"Albert Einstein"	0.0480038
Brecht	0.0476064
"Eudora Welty"	0.0474464
Broaddrick	0.0473336
Colette	0.0473297
"TOM CLANCY"	0.0470793
"Virginia Woolf"	0.0469353
"Truman Capote"	0.0466854
canard	0.0466223
"Margaret Mitchell"	0.0463683
Thoreau	0.0463461
Confucius	0.046187
Vonnegut	0.0458339
Brasil	0.0455085
Crichton	0.0454074
"American Psycho"	0.0451263
Cristina	0.0451235
Ellison	0.0451143
Mortimer	0.0449484
Madeline	0.044855
"Salman Rushdie"	0.0447794
Irving	0.0446605
"Simon Bolivar"	0.0446146
Nostradamus	0.0445751
"John Updike"	0.0441994
Avila	0.0439615
"Thomas Mann"	0.0439555
Godwin	0.0437856
Delacroix	0.043776
Pulitzer	0.0437283
Scarpetta	0.0432287
Conrad	0.0431917
Yeats	0.0430647
revisionist	0.0428651
nonfiction	0.0428595
Beethoven	0.0427644
"E.B White"	0.042608
Chaplin	0.0425033
Beauvoir	0.042268
"Zhou Enlai"	0.0420741
Calais	0.0416877
Faulkner	0.0415393
Allende	0.0415269
Stephenson	0.0414982
Monkees	0.0414846
pompadour	0.041419
Cornwell	0.041234
Cobain	0.0411809
Wharton	0.041075
Yat-sen	0.0407661
"John Waters"	0.0405053
"Old Testament"	0.0402316
"Noel Coward"	0.0400126
))
(Bam (desc 2187.01) (sims
Celia	0.0595023
"La Scala"	0.058747
"German language"	0.0573339
Kirov	0.056474
Alcantara	0.0551433
Yosef	0.0507187
Strauss-Kahn	0.0499602
Woolley	0.0498403
"De Soto"	0.0486432
Kyprianou	0.048347
Conley	0.048067
"Peking Opera"	0.047783
coming-out	0.0477779
UNIP	0.0476234
Dodik	0.0471141
Tanganyika	0.0464645
TALBOT	0.0463674
Cortines	0.0462358
"Royal National Theater"	0.0462181
dick	0.0454757
Parrish	0.0453968
Kromah	0.0446489
Bolshoi	0.044594
Vivendi	0.0443701
Ohlmeyer	0.0441558
"International Skating Union"	0.0439942
Alexie	0.0439406
Fassel	0.0438656
Sunbeam	0.0437456
F.A	0.0436943
Oedipus	0.0436861
cyber	0.043592
Polgar	0.0435411
Alatas	0.0433007
Malu	0.0432625
Rothman	0.0432434
Duquette	0.0432247
"City Opera"	0.0427966
Kato	0.0427237
Ruehe	0.0424604
McGreevey	0.0422064
Ripken	0.042151
"Peter Verniero"	0.0420174
RNC	0.0419603
Garrett	0.0418295
"Griffith Joyner"	0.0418108
Demaci	0.041799
"David Koresh"	0.0417414
"Rwandan Patriotic Front"	0.041704
Golota	0.0416046
Sharaa	0.0415425
upfield	0.0414703
Yadav	0.0413904
Springbok	0.0413529
Banharn	0.0412699
CSC	0.0407641
Hal	0.0406365
NSC	0.0405344
"New York State Theater"	0.0405142
Gorbachev	0.0404622
CPF	0.0403952
Skuratov	0.0403626
BCE	0.0402104
NAU	0.0402048
"Metropolitan Opera"	0.0401916
ASO	0.0401706
Niyazov	0.0401281
))
(Bamako (desc 1377.45) (sims
Ashkhabad	0.255319
Chisinau	0.206237
Gaborone	0.206031
Mbabane	0.192816
Vladikavkaz	0.176529
Bishkek	0.174937
Libreville	0.168299
Vilnius	0.168276
Maseru	0.16808
Conakry	0.165854
Windhoek	0.164485
Moroni	0.164373
Bangui	0.164357
MANAMA	0.16165
Almaty	0.161141
"Bandar Seri Begawan"	0.159615
Astana	0.154052
Ouagadougou	0.15349
Rabat	0.151758
Tashkent	0.151277
Dushanbe	0.149429
Muscat	0.147991
Alma-Ata	0.142009
Podgorica	0.140259
Jayapura	0.138349
Srinagar	0.136128
BLANTYRE	0.135901
Lome	0.135727
Abidjan	0.13443
Riyadh	0.134168
Asuncion	0.133287
Kigali	0.132898
Peshawar	0.129907
Manado	0.129071
PATNA	0.12828
"San Salvador"	0.127827
Doha	0.127504
Tbilisi	0.125414
"Nigerian capital"	0.124835
Accra	0.12284
Pretoria	0.122614
Makhachkala	0.122501
Kupang	0.118086
Bujumbura	0.117501
Bangalore	0.11711
"Egyptian capital"	0.1168
Algiers	0.116696
Chennai	0.1154
BRATISLAVA	0.114826
Minsk	0.114284
Krakow	0.114155
Ndola	0.113566
Yaounde	0.113079
"Abu Dhabi"	0.111786
Asmara	0.110339
Abuja	0.109769
Yerevan	0.109465
Bern	0.109004
Ljubljana	0.108511
Tripoli	0.107744
Skopje	0.107473
NICOSIA	0.106468
Monrovia	0.105633
Lucknow	0.105494
Cardiff	0.1048
Reykjavik	0.104154
Cartagena	0.103657
Merida	0.103544
Kuching	0.103453
SOFIA	0.103014
Charikar	0.101026
"ALMA ATA"	0.0997927
Taloqan	0.0988931
Denpasar	0.0982667
"Port Moresby"	0.097018
"Cape Town"	0.0958669
Jalalabad	0.0953007
Ibadan	0.0952974
Hyderabad	0.0952737
"Santo Domingo"	0.0948573
Dakar	0.093184
CARACAS	0.0930592
ZAGREB	0.0925544
"Ulan Bator"	0.0924933
BRASILIA	0.091955
Quetta	0.0916952
Honiara	0.0914607
Davos	0.0905388
Managua	0.0902801
"Victoria Falls"	0.0896477
Belfast	0.0894311
TEGUCIGALPA	0.0891254
Yinchuan	0.0889497
Durban	0.0886423
"La Paz"	0.0880617
LISBON	0.0875533
Subic	0.0874089
KIEV	0.0873472
Jeddah	0.087345
Vientiane	0.087173
Damascus	0.0869976
Khartoum	0.0869455
Kunming	0.0869212
"Guatemala City"	0.0867909
Dili	0.0866951
Suva	0.0866435
MAPUTO	0.0865891
Duesseldorf	0.086446
Lubumbashi	0.0863645
Christchurch	0.0862054
Lahore	0.0860477
SANAA	0.0858595
Phuket	0.0855748
PYONGYANG	0.0855718
Cebu	0.0852407
Calcutta	0.084838
Bissau	0.0838492
Edinburgh	0.0835359
Medan	0.0834585
"Malaysian capital"	0.0833511
Oslo	0.0833067
Shiraz	0.0832581
Klagenfurt	0.0829494
TUNIS	0.0826136
MONTEVIDEO	0.0818118
Strasbourg	0.0815163
Medellin	0.0807435
Prague	0.0803957
Salzburg	0.0802619
CHENGDU	0.0799797
Port-au-Prince	0.0792955
PALERMO	0.0791844
Delhi	0.079098
Valletta	0.0784567
TIRANA	0.0783834
Luanda	0.0780539
Brazzaville	0.0776143
Surabaya	0.0772401
sanatorium	0.0771188
Lucerne	0.0769274
Katmandu	0.0768434
Changsha	0.0764744
Kuito	0.0763983
Karachi	0.0760494
BUCHAREST	0.075592
Santiago	0.0753958
Bali	0.0746736
Nago	0.074471
Wellington	0.0741465
Hohhot	0.0741316
Helsinki	0.0738863
Quito	0.0737528
Krasnoyarsk	0.0731343
Urumqi	0.0725674
Midrand	0.0721217
Basle	0.0720659
"Subic Bay"	0.0719311
Lanzhou	0.0716541
Guadalajara	0.0713247
Guiyang	0.0707387
Ambon	0.0701624
Tallinn	0.0700252
"Russian capital"	0.0699742
Beira	0.0699457
Langkawi	0.0699221
Kandy	0.0697627
Madras	0.0695541
Riga	0.0695268
Arusha	0.0694607
Izmir	0.0683662
Bandung	0.0681712
Brisbane	0.0676536
"Quebec City"	0.0675236
Auckland	0.0668584
"Banja Luka"	0.0657832
Winnipeg	0.0651925
mid-December	0.0651228
"French capital"	0.0646945
Zurich	0.0643089
Nanchang	0.0641515
Lausanne	0.0638519
Sharjah	0.0630298
Stuttgart	0.0630221
Canterbury	0.0628139
Weimar	0.0626923
Kigoma	0.0622649
Perth	0.0622338
"Algerian capital"	0.0620331
Ghent	0.0617814
Beidaihe	0.0617289
Kaduna	0.0606905
Sapporo	0.0603491
Kandahar	0.0600031
Togo	0.0599043
Panmunjom	0.0598981
Davao	0.0593644
Mombasa	0.0591055
"Ho Chi Minh City"	0.0586757
"Elysee Palace"	0.0586691
Nakuru	0.0585777
))
(Bambang (desc 1399.59) (sims
Ikimi	0.143502
Kasoulides	0.141999
Yazdi	0.141763
Ruehe	0.136714
Boueiz	0.1336
Yastrzhembsky	0.124671
Singson	0.123773
"minister of finance"	0.122632
Eizenstat	0.121528
Nzo	0.121528
Rodionov	0.118886
Stoyanov	0.115946
Aventajado	0.11443
Reimer	0.114044
Harmoko	0.113412
Grachev	0.112341
Alatas	0.111024
Orban	0.110865
Venables	0.107081
Vialli	0.106965
Jayakumar	0.106488
Brittan	0.10625
Rifkind	0.105406
Malu	0.104982
Hamid	0.104783
Tarawneh	0.1045
Cooley	0.10331
Nasrallah	0.102919
Vasile	0.102651
Zuma	0.101935
Titov	0.101281
Nemtsov	0.101203
Ratner	0.101171
Fernandes	0.0994169
Akayev	0.0989471
Moratinos	0.0984692
ISSEL	0.0983817
Azad	0.0971817
Tevanian	0.0971326
Modise	0.0957313
Klestil	0.0951571
Velayati	0.0949324
Belo	0.0949246
Berri	0.0919539
Pustovoitenko	0.0915729
Maslyukov	0.0915616
Prabowo	0.0912327
Karimov	0.091172
Sumaye	0.0911238
Majali	0.0907951
Manley	0.0905282
Severino	0.0904618
Bronfman	0.0902449
Villanueva	0.0902378
Shareh	0.0901064
Komura	0.090015
Zou	0.0898635
Phieu	0.0897152
Guterres	0.0896478
Tarrin	0.0895391
Dodik	0.0883859
Siazon	0.0882799
Chappell	0.0882496
Allchin	0.0880929
Azizah	0.0880134
"de Charette"	0.0877442
Strauss-Kahn	0.0875693
Meguid	0.0873844
Lundy	0.0868527
Schmalensee	0.0868157
Granic	0.0866548
"Robert Aventajado"	0.0865598
Insulza	0.0864975
Gosper	0.0860668
Alarcon	0.0858654
Wolfensohn	0.08575
Hrawi	0.0857011
Imperatori	0.0856433
Axworthy	0.0855229
Constantinescu	0.085372
Rais	0.0850279
Breuer	0.0848068
Majko	0.08469
Koop	0.0845715
Buzek	0.0843523
Felten	0.0839534
Sutiyoso	0.0838358
"De Soto"	0.0838049
Pangalos	0.083714
Joklik	0.0833778
Waigel	0.0832856
Stroyev	0.0829146
Maurizi	0.0828144
Tsang	0.0827783
Klima	0.0826773
Khai	0.0825652
Murayama	0.0825511
Beye	0.0825411
Cem	0.0823765
Fabius	0.0821889
al-Sahaf	0.0820255
Talebi	0.0818554
Flanagan	0.0817956
Shamshad	0.081591
kraut	0.0812049
Maradona	0.08102
Koirala	0.0809889
Hybl	0.0809544
Rashid	0.0809298
Malan	0.0805286
Scharping	0.0805117
Mikhailov	0.0804905
Pugh	0.0803086
McCurry	0.0802271
Hersh	0.080223
"Bill Skate"	0.0800531
Bulatovic	0.0799047
"Robert E. Rubin"	0.0798503
Vollebaek	0.079815
Chavalit	0.0797378
Banharn	0.07931
Naumann	0.0791626
Aguirre	0.0791425
Sergeyev	0.0790904
Gangelhoff	0.0790536
Maritz	0.0787274
Sanan	0.0786861
Colburn	0.078668
Havelange	0.078597
Aoki	0.0785844
Nujoma	0.0785572
Arbour	0.0783187
Juppe	0.0782789
Kasyanov	0.078113
Schottenheimer	0.0779364
Bruton	0.077871
Holl	0.0778348
Advani	0.0778
Natale	0.077784
Goh	0.0775656
"Dos Santos"	0.0774819
Abdel-Meguid	0.0774813
Bakaly	0.0772056
Napolitano	0.0771474
Saleh	0.0770928
Meles	0.0770021
Baz	0.0766696
Lehane	0.0766606
Blackthorne	0.076603
Cavallo	0.0764146
Santer	0.0763823
Galindo	0.0761858
Niyazov	0.0761178
Kessler	0.0759649
DeFrantz	0.0756612
Seleznyov	0.0756094
Haskins	0.0755163
Chissano	0.075491
Wilhelm	0.0754811
Kono	0.0754437
"Tony Coelho"	0.0754188
Donohue	0.0754028
"Koichi Kato"	0.0751493
Barad	0.0750429
Deuba	0.0749158
Villar	0.0748099
Akbar	0.0748048
Turetzky	0.0747736
Hitchens	0.0746571
Fleischer	0.074632
Mkapa	0.0744161
Werner	0.0743117
Dehaene	0.0742392
Sha	0.0742203
Glaser	0.0740917
Piot	0.0738991
Drabinsky	0.0738737
Barksdale	0.073673
Juma	0.0735193
Surin	0.0735054
Musa	0.0733088
Kabariti	0.0730022
Portnoy	0.0729407
Schiffer	0.0729174
Ghalib	0.0728849
Crocker	0.0727897
Weah	0.0727472
Jia	0.072714
Sakakibara	0.0721625
Giordano	0.0721238
"Khin Nyunt"	0.0721009
Dini	0.0719648
Kornberg	0.0719305
Iglesias	0.0718385
Obeid	0.0717691
"Lee Hsien Loong"	0.071544
Imelda	0.0715321
Xiang	0.0714842
Shaath	0.0713352
Skuratov	0.0713208
))
(Bambi (desc 2335.67) (sims
"Snow White"	0.133179
Pinocchio	0.119207
Hercules	0.0695108
"sleeping beauty"	0.066672
P.J	0.0652769
"Lion King"	0.0650677
Fantasia	0.0643569
Girlfight	0.0596416
"Pope Pius XII"	0.0592059
"Coyote Ugly"	0.0588525
Amadeus	0.0585256
"brain stem"	0.0584961
"chicken run"	0.057053
Mulan	0.0569793
Moby-Dick	0.056751
"True West"	0.0557626
"sleight of hand"	0.0550151
"cabin cruiser"	0.0544598
"Rugrats Movie"	0.053952
Tarzan	0.0538817
"Space Cowboys"	0.053727
"old times"	0.0531882
Cinderella	0.0521764
"Blade Runner"	0.0521291
"Toy Story"	0.0517077
Porgy	0.0511551
Goodfellas	0.0508814
"Donald duck"	0.05056
Laudor	0.050541
Bonner	0.0504979
Antz	0.050374
"Toy Story @"	0.0502748
"Princess Mononoke"	0.0499233
"talk of the town"	0.0491146
"Hollow Man"	0.0491073
nosebleed	0.0487113
"Indiana Jones"	0.0487037
"Annie Get Your Gun"	0.0486902
"King Kong"	0.0486868
Lolita	0.0480111
Frankenstein	0.0478261
"Scary Movie"	0.0474926
"Natural Born Killers"	0.0473129
Scotty	0.0472931
Exorcist	0.0472206
Ricart	0.0471782
Webdale	0.0464605
Palczynski	0.0461711
Alexandra	0.0456813
"Beijing Opera"	0.0456094
showgirl	0.0455278
"Animal House"	0.0454998
Erin	0.0454564
Selena	0.0452603
"Michael Eisner"	0.0447937
Superman	0.0444023
"Bay Ridge"	0.0443326
Christy	0.044214
"Peter Pan"	0.0438304
"Fantasy Island"	0.043521
Gladiator	0.0433565
"Chelsea Clinton"	0.0430443
Whitehead	0.0430004
"Luke Skywalker"	0.0428496
Paulina	0.0427806
militarism	0.0426503
Winnie	0.0426295
Sasha	0.0423409
revisionism	0.0422428
Mucha	0.0419352
spider	0.0418365
Shane	0.0418284
"West Side Story"	0.0418026
Annie	0.0416097
"Runaway Bride"	0.0414973
Padilla	0.0414855
"facial expression"	0.0414176
"Iceman Cometh"	0.0410969
Sund	0.0410625
"Dominique Wilkins"	0.0409661
"Elizabeth Hurley"	0.0409491
Lobo	0.0403036
))
(bamboo (desc 11159.5) (sims
Conifer	0.118839
cypress	0.109917
sugarcane	0.107349
rattan	0.103218
hardwood	0.102461
fir	0.098027
grass	0.0973281
pine	0.0941329
timber	0.0939501
vegetation	0.0931002
Oak	0.0922973
poplar	0.0921772
shrub	0.0915671
fern	0.0912971
cactus	0.0908735
spruce	0.0890553
cardboard	0.0875187
cedar	0.0872321
tree	0.0856954
cotton	0.0826688
vegetable	0.0814863
rubber	0.0803744
"sugar cane"	0.079982
maize	0.0768428
shrubbery	0.0762458
herb	0.0760068
willow	0.0753128
corn	0.0741567
flower	0.0735399
citrus	0.0730564
eucalyptus	0.0727632
wheat	0.0726098
"opium poppy"	0.0725745
wood	0.0724513
undergrowth	0.0723034
jade	0.0721945
wicker	0.0720837
grain	0.0717795
peony	0.0711233
seedling	0.0706259
azalea	0.0706092
metal	0.0702696
greenery	0.0702314
"ground cover"	0.0693448
sheeting	0.0690126
rice	0.0689728
dogwood	0.0688454
fruit	0.068611
Elm	0.068459
grape	0.0683516
vine	0.0678139
"food grain"	0.0675258
orchid	0.0668386
sapling	0.0666842
"white pine"	0.0658378
crop	0.0657048
brick	0.0656276
coca	0.065355
tulip	0.0648021
Birch	0.0646804
lumber	0.0646258
Plywood	0.0643252
paddy	0.0642972
hydrangea	0.064108
ginseng	0.0639622
Concrete	0.0639515
buckwheat	0.0639071
"cultivated land"	0.063776
barley	0.0637218
ceramic	0.0635814
cement	0.063497
mineral	0.0634505
"building material"	0.0632192
mahogany	0.0631685
coral	0.0629401
plastic	0.0628096
algae	0.0627645
farmland	0.0622105
melon	0.0621606
hemp	0.0621543
"ponderosa pine"	0.0621365
"live oak"	0.0621164
plaster	0.0618688
leaf	0.0617839
redwood	0.0614051
resin	0.0612188
"bamboo shoot"	0.0609117
Straw	0.0608998
porcelain	0.0608234
perennial	0.0607612
Pottery	0.0607602
aluminum	0.0607263
forest	0.0605081
kelp	0.0600639
sorghum	0.0594845
clover	0.0593394
evergreen	0.0592031
underbrush	0.0590268
Firewood	0.0589578
"douglas fir"	0.0586573
grassland	0.0582755
steel	0.0582746
wildflower	0.0578194
sagebrush	0.0574712
textile	0.0574124
ivy	0.0572663
"flowering plant"	0.0572185
fiber	0.0570496
Hemlock	0.0569235
tile	0.0568395
ebony	0.0567917
Copper	0.0566931
"citrus fruit"	0.0566328
soybean	0.0562282
cane	0.0561732
foliage	0.0559789
foodstuff	0.0558235
leather	0.0555953
beech	0.0554582
weed	0.0554298
"raw material"	0.0552588
poppy	0.0552386
Maple	0.0551467
seaweed	0.0550309
daffodil	0.055025
sawdust	0.0550219
frond	0.0549048
marshland	0.0548279
marble	0.0547141
fungi	0.0546414
wallboard	0.0545577
furniture	0.0542712
silk	0.0539181
oleander	0.0538887
ore	0.0534063
"grazing land"	0.0531564
gourd	0.0531326
cropland	0.0530036
iron	0.0527402
ragweed	0.052661
marigold	0.052562
tobacco	0.0522155
fungus	0.0521288
spice	0.0518437
pulp	0.0517882
charcoal	0.0513963
"mineral resource"	0.051258
clay	0.0511556
sand	0.0511144
plum	0.0508458
rhododendron	0.0504726
"rare bird"	0.0504708
Coal	0.0502504
mangrove	0.0500718
"freshwater fish"	0.0500443
cottonwood	0.0500375
Tin	0.0500079
hibiscus	0.0499836
tea	0.0498141
hosta	0.0498122
blueberry	0.0495661
echinacea	0.0495463
stucco	0.0494626
sod	0.0492515
wool	0.0492255
potato	0.0491514
"precious stone"	0.0491409
pasture	0.0490167
cassava	0.0489874
carpeting	0.0488664
"iron ore"	0.0487644
crystal	0.0487135
mushroom	0.0482945
gravel	0.048293
twig	0.0482801
Juniper	0.0482692
camellia	0.0481052
"paddy field"	0.0477683
vinyl	0.0477568
apple	0.0477315
ivory	0.0477039
handicraft	0.0476255
dahlia	0.0476162
"coral reef"	0.0475792
banana	0.047233
coconut	0.0471685
watermelon	0.0471614
"virgin forest"	0.0471406
"canned food"	0.0471186
lavender	0.0471123
wildlife	0.0470744
peach	0.046983
"palm oil"	0.0467902
"precious metal"	0.046786
legume	0.0467814
"coffee bean"	0.0466869
fur	0.0466779
bean	0.0466034
mud	0.0465977
kudzu	0.0465727
))
("bamboo shoot" (desc 1425.24) (sims
"bean sprout"	0.152236
"water chestnut"	0.121354
veggie	0.104042
mozzarella	0.0951552
"bok choy"	0.094893
legume	0.0931904
wasabi	0.0922878
sorghum	0.0920888
radish	0.0915342
"sea food"	0.0901533
cilantro	0.0900693
"canned food"	0.0897779
"green onion"	0.0850757
"raw vegetable"	0.0834501
"chili pepper"	0.0818073
"shiitake mushroom"	0.0818067
"white rice"	0.0810301
"Swiss cheese"	0.0808691
ginger	0.0806364
soy	0.0805763
carrot	0.0802191
chervil	0.079691
morel	0.0783881
"peanut oil"	0.0783554
pancetta	0.0773711
dill	0.0771042
seafood	0.0770097
scallion	0.0762997
"garlic clove"	0.0760094
cabbage	0.0758682
jalapeno	0.0755341
porcini	0.0753207
"sesame oil"	0.0752911
lemongrass	0.0746481
marjoram	0.0746372
"coconut milk"	0.0746265
sugarcane	0.0742269
savory	0.0738605
"red onion"	0.0738327
crawfish	0.0736981
shallot	0.0735979
"sugar cane"	0.0735872
tarragon	0.0720999
"string bean"	0.0718578
pea	0.0713127
"citrus fruit"	0.0711726
"sunflower seed"	0.0710341
shortcake	0.0709727
"red pepper"	0.0708359
noodle	0.0707029
okra	0.0702852
chilies	0.0696151
thistle	0.0686515
rattan	0.0686247
seaweed	0.06834
kernel	0.0682584
fennel	0.0682117
"filet mignon"	0.0674942
"bell pepper"	0.0664922
"macadamia nut"	0.0663686
cassava	0.0662919
asparagus	0.0660883
crayfish	0.0660837
"black olive"	0.0660802
pickle	0.0650207
chiles	0.0648924
"root vegetable"	0.0643946
"green bean"	0.0642067
alfalfa	0.0640801
spinach	0.0635242
tofu	0.0634023
"brussels sprout"	0.0633409
pineapple	0.0631083
citrus	0.062787
cauliflower	0.0626986
"winter squash"	0.0626029
chive	0.0625724
"black bean"	0.0622668
cucumber	0.0622267
"fava bean"	0.0621297
artichoke	0.0620954
fern	0.0620556
oilseed	0.0618844
"black pepper"	0.0617008
tomatillo	0.061391
"chicken broth"	0.0611346
parsley	0.0611155
croissant	0.0607719
"pine cone"	0.0601042
melon	0.0599519
beet	0.0599502
Basil	0.0597957
"soy sauce"	0.0594327
"bay leaf"	0.0594193
chevre	0.0594077
"animal product"	0.0592798
"green salad"	0.0592234
"lime juice"	0.0587282
watercress	0.0583534
squid	0.0581001
"canned goods"	0.057799
tortellini	0.0576123
"lima bean"	0.0573493
"brook trout"	0.0573343
zucchini	0.0571643
khat	0.0571297
"orange zest"	0.0567737
coriander	0.0566562
Twinkies	0.0555009
lettuce	0.0552209
clove	0.0551482
"hard-boiled egg"	0.0550311
"low-fat diet"	0.0548597
"lemon zest"	0.0547576
Broccoli	0.0545578
crumb	0.0543027
"roast beef"	0.0541744
tapioca	0.0539461
clover	0.0533128
slaw	0.0532661
mussel	0.0529892
"pine nut"	0.0529191
ricotta	0.0528644
plantain	0.0527123
Quince	0.0525535
"star anise"	0.0524556
nectarine	0.0524506
guacamole	0.0524308
Sorrel	0.0522975
"spring roll"	0.052201
"dairy product"	0.0521452
Masa	0.0520472
"flowering plant"	0.0520241
"snack food"	0.0516685
plum	0.0515631
"fish fillet"	0.0514438
crostini	0.0512275
"gefilte fish"	0.0511625
barley	0.0510941
"iceberg lettuce"	0.0508695
clam	0.0503202
leek	0.050305
"green pepper"	0.0498452
rutabaga	0.0497476
"chicken stock"	0.0497127
crabs	0.0495209
shrubbery	0.0494617
calamari	0.049349
"vegetable oil"	0.0489256
"animal fat"	0.048831
eucalyptus	0.0488074
soya	0.0484468
raspberry	0.0484432
celery	0.0482869
fettuccine	0.0482676
"salad greens"	0.0482119
"flower garden"	0.0480889
arugula	0.0478777
molasses	0.0478104
"hoisin sauce"	0.047744
offal	0.0476955
millet	0.0475017
"connective tissue"	0.0474969
breadcrumb	0.0473845
"french fries"	0.0470514
applesauce	0.0467061
oregano	0.0463618
sushi	0.0463581
bran	0.0462188
"fruit juice"	0.0459339
"cut of meat"	0.0458139
sunflower	0.0455828
"dog food"	0.0454485
kumquat	0.045328
porridge	0.0450649
"smoked salmon"	0.0450397
pesto	0.0450095
eel	0.0448948
prawn	0.044712
"sesame seed"	0.044498
sod	0.0444405
"mineral water"	0.0443548
"cranberry sauce"	0.0443431
brisket	0.0439012
radicchio	0.043899
sardine	0.0438247
"disability payment"	0.0436692
cutlet	0.0436647
"cheddar cheese"	0.0435753
"poppy seed"	0.0435387
"raw meat"	0.0434906
"fruit salad"	0.0434538
"coat of paint"	0.0432936
Hock	0.0431346
"soybean oil"	0.0430142
"health food"	0.0429802
Parmesan	0.0429684
thyme	0.0429573
Yucca	0.0428907
salami	0.0426341
))
(Bamiyan (desc 1619.27) (sims
Taloqan	0.320265
Herat	0.230812
Mazar-i-Sharif	0.221152
"Anlong Veng"	0.200681
"Mazari Sharif"	0.18446
Baalbek	0.179598
Andulo	0.178902
Makeni	0.176492
Bailundo	0.171209
Jaffna	0.170757
Kandahar	0.169461
Isfahan	0.167963
Cochabamba	0.167003
Vojvodina	0.166397
Cebu	0.165105
Huambo	0.162008
"Surat Thani"	0.160077
Antalya	0.159059
Pailin	0.15703
Jalalabad	0.156541
Mazar-e-Sharif	0.154867
Benguela	0.15467
Najaf	0.150038
Juba	0.147888
Rafah	0.142661
Goma	0.140338
Tete	0.139188
Murmansk	0.136292
Kuito	0.134921
Catania	0.133567
Kailahun	0.132362
Kisangani	0.131889
"Camp Abubakar"	0.131476
"Chiang Rai"	0.13013
Katanga	0.129734
Tigray	0.129602
Davao	0.128418
Bushehr	0.127715
Malisevo	0.127604
Cotabato	0.126233
Bengkulu	0.125387
Gudermes	0.124846
Irbil	0.124682
Cabinda	0.124587
Kilinochchi	0.124503
Baotou	0.12398
Diyarbakir	0.123899
Matadi	0.123257
Lubumbashi	0.123173
Adana	0.123011
"CHIANG MAI"	0.122565
Bursa	0.121562
Maguindanao	0.121452
Basra	0.120612
Posoltega	0.119792
Zamboanga	0.118907
Phuket	0.118063
Mosul	0.11799
Junik	0.117849
Beira	0.117496
Baoding	0.117254
Tunceli	0.116706
Bukavu	0.116509
Kwazulu-Natal	0.11646
Kindu	0.115898
Mankulam	0.115411
Izmir	0.114422
"Banja Luka"	0.113716
Uvira	0.112446
Bingol	0.112314
Argun	0.111779
Izmit	0.110308
Novosibirsk	0.110298
Zhangjiajie	0.108749
"Siem Reap"	0.108281
Basilan	0.108257
Shashi	0.107998
Multan	0.107803
Haicheng	0.107028
Orahovac	0.105906
Trincomalee	0.105645
BIE	0.104977
Wenzhou	0.10491
Decani	0.104661
Hakkari	0.104493
Datong	0.103808
"Jaffna Peninsula"	0.103679
Urosevac	0.102579
NIS	0.102086
"Suva Reka"	0.10158
Liuzhou	0.100548
Kabul	0.100538
Xuzhou	0.0993281
Khost	0.0991263
Kandy	0.098778
Krasnoyarsk	0.09873
Nago	0.0986211
"North Maluku"	0.098571
Tangshan	0.0980015
Bekaa	0.0975966
Chengde	0.0973196
Aceh	0.0968812
Kalemie	0.0966831
Sirnak	0.0966113
Sofala	0.0959743
Batticaloa	0.095598
"Novi Sad"	0.0953702
Oro	0.0951912
Cordoba	0.0950092
Weifang	0.0948226
Gdansk	0.0940054
Charikar	0.0939005
Belacevac	0.0937787
Kisumu	0.0936663
Lijiang	0.0935818
Yichang	0.0933937
Vavuniya	0.0930183
Zhangjiakou	0.0927785
Nagasaki	0.092676
Punjab	0.0923925
Inchon	0.0918347
Zhangzhou	0.091641
Huangshan	0.0913909
Pampanga	0.0913187
Drenica	0.0909217
Mpumalanga	0.0908035
Palawan	0.0906954
Tuzla	0.0905285
Antioquia	0.0901579
Shiraz	0.089904
Caguan	0.0897482
Baidoa	0.0893595
Darien	0.0892838
Pereira	0.0889956
Sevastopol	0.0889194
Leskovac	0.0887855
Luoyang	0.0887356
Nabatiyeh	0.0885427
"Mount Lebanon"	0.0883214
Gauteng	0.0879974
Yekaterinburg	0.0875605
Jiujiang	0.087522
Anshan	0.0874459
Ibadan	0.0874321
Gulu	0.0869781
Mandalay	0.0869139
Quetta	0.0867289
Djakovica	0.0858708
Peshawar	0.0858367
Badme	0.085694
Limon	0.0856002
Wuxi	0.0852796
Nyanza	0.0852691
Tachilek	0.0848685
Putumayo	0.0845265
Quanzhou	0.0845036
Sindh	0.0844604
Nagoya	0.0843252
Medan	0.0842316
Vedeno	0.0841551
"East Nusa Tenggara"	0.0841246
Weihai	0.0838379
Medellin	0.0837974
Khulna	0.0835465
Guantanamo	0.0833546
Ambon	0.0832232
Rawalpindi	0.0831959
Aqaba	0.0831579
Yogyakarta	0.0828605
ZHOUSHAN	0.082412
Riau	0.0823645
Grozny	0.0822685
Warri	0.0821232
Dongguan	0.0820857
"East Java"	0.0819583
Mekong	0.0818711
Jenin	0.0818593
PATNA	0.0818279
Dubrovnik	0.0817525
Brcko	0.0815089
Kurdistan	0.0813453
Fushun	0.0811574
Malaga	0.0811236
Ashkelon	0.0808636
Mashhad	0.0803909
Caprivi	0.0803057
Marjayoun	0.0802714
Manitoba	0.08021
Zhongshan	0.0801254
"San Pedro Sula"	0.080105
Sulu	0.0798394
Sanya	0.0798231
Durres	0.0796165
Zhenjiang	0.0788615
Vladivostok	0.0785127
Limassol	0.0783295
"East Kalimantan"	0.078327
Prijedor	0.078079
"rift valley"	0.0779584
Kabwe	0.0778963
))
(ban (desc 118431) (sims
restriction	0.240707
prohibition	0.220057
moratorium	0.199504
embargo	0.192573
sanction	0.183789
suspension	0.170386
regulation	0.164763
limit	0.155871
law	0.152047
legislation	0.142457
rule	0.1399
policy	0.13745
measure	0.136307
freeze	0.127863
provision	0.127274
crackdown	0.125103
ruling	0.12167
Ordinance	0.121053
decision	0.120803
requirement	0.12079
curb	0.119507
tariff	0.118683
closure	0.118165
amendment	0.117779
Treaty	0.117405
tax	0.117291
quota	0.116605
sentence	0.115237
agreement	0.112444
guideline	0.111988
"death penalty"	0.111449
"trade embargo"	0.110963
curfew	0.109974
proposal	0.109863
action	0.108088
boycott	0.106316
resolution	0.105489
reduction	0.105228
Limitation	0.103856
statute	0.103062
bill	0.103003
penalty	0.102886
reform	0.10281
cease-fire	0.101445
plan	0.100628
"tax increase"	0.100064
initiative	0.0994467
banning	0.0994179
control	0.0987117
injunction	0.0978267
pact	0.0975245
change	0.0969016
strike	0.0967624
cut	0.0958311
expulsion	0.0956483
"prison sentence"	0.0949018
directive	0.0946985
"prison term"	0.0945483
"tax cut"	0.0937229
punishment	0.0935528
move	0.0931751
repeal	0.0930082
removal	0.0928489
accord	0.0926218
Dismissal	0.0924512
withdrawal	0.0923353
standard	0.0913492
delay	0.0911777
blockade	0.0908308
referendum	0.0906782
decree	0.0905373
intervention	0.0900898
procedure	0.089796
clampdown	0.0884092
inspection	0.0880011
"sales tax"	0.0878002
hike	0.0875835
deal	0.0869124
stance	0.0868922
ceasefire	0.0868879
lifting	0.0868455
exemption	0.0866598
cutback	0.0865404
censure	0.0862916
program	0.086243
test	0.0862272
postponement	0.0857935
increase	0.0857327
clause	0.0857042
reliance	0.0853245
mandate	0.0852435
verdict	0.0850159
attack	0.0845656
revision	0.0839139
"background check"	0.0835081
censorship	0.0830871
arrangement	0.0826255
settlement	0.0825251
"military action"	0.0824704
"gun control"	0.0823416
truce	0.0819412
extension	0.0818923
layoff	0.0817713
fine	0.0813937
"time limit"	0.0808878
testing	0.0808278
imposition	0.0807907
"Proposition @@@"	0.0804588
deployment	0.0801454
amnesty	0.0797354
veto	0.0794417
overhaul	0.0794106
expansion	0.0791825
"income tax"	0.0791072
protocol	0.0790309
detention	0.0788699
refusal	0.0779225
conviction	0.0775596
shutdown	0.0773894
enforcement	0.0773753
arrest	0.0773148
taxation	0.0771058
order	0.0770825
recommendation	0.0767137
investigation	0.0766017
"code of conduct"	0.0765158
compromise	0.0760262
fee	0.0759614
spending	0.0757669
"Proposition @@"	0.0757192
Liberalization	0.075688
protection	0.0756379
abolition	0.0755008
Declaration	0.0754719
Privatization	0.0753644
"price increase"	0.0753315
contract	0.0752344
appointment	0.0752318
elimination	0.0748368
system	0.0748074
confiscation	0.0744839
constitution	0.0742393
lawsuit	0.0742112
rejection	0.0740716
"capital punishment"	0.0740712
release	0.0738576
"price control"	0.0735409
cancellation	0.0734887
imprisonment	0.0734376
"Bill of Rights"	0.0728979
code	0.0725843
disarmament	0.0723501
merger	0.0723445
subsidy	0.0717019
impeachment	0.071514
commitment	0.0714396
probation	0.0713785
permit	0.0712901
emphasis	0.0712175
cap	0.0711989
prosecution	0.0710543
effort	0.0710497
"excise tax"	0.0710192
act	0.0709826
approval	0.0706777
disclosure	0.0706177
vote	0.0705561
extradition	0.0704413
inquiry	0.0704026
restraint	0.0703778
"budget cut"	0.070297
"trade bill"	0.0702085
dependence	0.0700012
pullout	0.0698368
process	0.0697944
absence	0.0696503
solution	0.069642
review	0.0696071
surcharge	0.0695151
"antitrust law"	0.0693928
demand	0.0692596
war	0.0692509
timetable	0.0692251
edict	0.0691922
funding	0.0691815
"tax break"	0.0690048
deregulation	0.0689811
scheme	0.068934
status	0.0687225
registration	0.0686359
finding	0.0686081
bombing	0.0685551
statement	0.0684369
devaluation	0.068369
package	0.0683418
deadline	0.0681451
claim	0.0680683
resignation	0.0680245
seizure	0.0678808
deportation	0.0672749
))
(banality (desc 4236.64) (sims
ugliness	0.0685754
pervasiveness	0.067803
tedium	0.0652941
idiocy	0.0631216
Truism	0.0619724
monotony	0.0610966
shallowness	0.059179
stupidity	0.0584835
drudgery	0.0583543
uniqueness	0.0578766
"sum total"	0.0572672
absurdity	0.0563031
musicality	0.0560414
sloth	0.0527736
ordinariness	0.0516518
sentimentality	0.0513545
dramatization	0.0507356
savagery	0.0501852
singularity	0.050169
cruelty	0.0497595
hubris	0.0496918
inhumanity	0.0493952
fullness	0.0490861
narcissism	0.0490803
self-absorption	0.048943
psychobabble	0.0488683
artificiality	0.0483794
depravity	0.0481349
simplicity	0.0472103
loneliness	0.0467933
futility	0.0467622
cliche	0.0465844
awkwardness	0.0465807
duality	0.0459195
immensity	0.0459041
barbarity	0.0456967
minutiae	0.0455226
vulgarity	0.045486
idolatry	0.0454741
inkling	0.0451495
predictability	0.0451222
"first four years"	0.0448484
madness	0.0446457
platitude	0.044603
Americanization	0.0438529
incompetence	0.0436004
exigency	0.0435309
selfishness	0.0434555
generalization	0.0433212
"fantasy world"	0.0431649
frailty	0.0427199
perversion	0.0427083
squalor	0.0425848
vicissitude	0.0425561
fount	0.0424402
exoticism	0.0424143
originality	0.04236
arrogance	0.0423547
altruism	0.0423286
ignominy	0.0419906
gluttony	0.0418577
craziness	0.0418241
enormity	0.0417977
Schmaltz	0.0414916
meanness	0.0414607
personification	0.0414598
intimacy	0.0412406
cowardice	0.0410377
minion	0.0407765
"joie de vivre"	0.0406974
piety	0.0403709
"background noise"	0.0403332
magnificence	0.0401671
nastiness	0.040153
perversity	0.0401457
randomness	0.040046
))
(banana (desc 43934.7) (sims
mango	0.193524
pineapple	0.192852
fruit	0.188024
melon	0.177305
tomato	0.17604
coconut	0.165617
potato	0.163859
peach	0.163305
corn	0.160418
sugar	0.159556
apple	0.158556
vegetable	0.158312
papaya	0.15757
pear	0.157237
onion	0.154592
wheat	0.153087
avocado	0.15076
coffee	0.150403
lemon	0.148944
strawberry	0.148614
rice	0.148446
"sweet potato"	0.14673
beef	0.144404
watermelon	0.141998
grape	0.141993
bean	0.140865
cotton	0.139922
Cherry	0.13979
"sugar cane"	0.138713
plantain	0.137783
shrimp	0.137713
raspberry	0.137362
blueberry	0.136184
soybean	0.135752
pecan	0.135471
grapefruit	0.134693
cucumber	0.132626
almond	0.130562
maize	0.129952
tea	0.129248
grain	0.129037
fig	0.12805
cereal	0.127952
carrot	0.126873
pork	0.126651
pea	0.126639
lime	0.125538
cocoa	0.125168
citrus	0.124197
pumpkin	0.123747
apricot	0.123318
cheese	0.12266
Garlic	0.122493
milk	0.121945
berry	0.121306
cabbage	0.121041
vanilla	0.120851
bread	0.120804
Orange	0.120108
mushroom	0.119823
sugarcane	0.119815
meat	0.119025
plum	0.118662
egg	0.118406
yogurt	0.117967
poultry	0.117712
raisin	0.117486
"dairy product"	0.117284
eggplant	0.116894
"orange juice"	0.114882
cassava	0.114001
chicken	0.113948
cantaloupe	0.113758
celery	0.113641
lettuce	0.113138
tangerine	0.112406
tobacco	0.112307
"citrus fruit"	0.111737
nectarine	0.110683
beet	0.110511
"bell pepper"	0.109508
peanut	0.108556
"palm oil"	0.108553
cashew	0.10843
cranberry	0.108426
fish	0.108292
chocolate	0.108053
nut	0.107803
sorghum	0.107641
zucchini	0.106889
pepper	0.106431
walnut	0.106198
"sugar beet"	0.105577
asparagus	0.103623
litchi	0.103509
ginger	0.103171
pistachio	0.102373
yam	0.101651
scallion	0.101378
barley	0.101198
"soya bean"	0.101009
wine	0.100703
"cashew nut"	0.0999952
Broccoli	0.0993192
crop	0.0986086
honey	0.0980448
juice	0.0976495
"green onion"	0.0975993
spinach	0.0973226
"macadamia nut"	0.0972556
"red onion"	0.0970932
sausage	0.0966282
seafood	0.0961932
"coconut milk"	0.0960156
butter	0.0956947
spice	0.0950933
timber	0.0948835
lentil	0.0948058
food	0.094274
rubber	0.0941985
textile	0.0941948
blackberry	0.0941507
cinnamon	0.0939327
flour	0.0936033
"ice cream"	0.0932838
turnip	0.0931949
shallot	0.0929432
oil	0.092872
Quince	0.0927098
jute	0.0926429
fennel	0.0925264
"peanut butter"	0.0921474
olive	0.0918743
lamb	0.0908183
goods	0.0903537
squash	0.0896192
tofu	0.0895993
cauliflower	0.0895116
"green bean"	0.0894246
flower	0.0894003
Basil	0.0890427
radish	0.0890263
parsnip	0.0889935
RHUBARB	0.0889811
artichoke	0.0884117
herb	0.088338
persimmon	0.0882759
biscuit	0.0881667
clove	0.0881036
ham	0.0879088
tortilla	0.0876718
"sour cream"	0.086838
tuna	0.0868034
"vegetable oil"	0.0867606
"red pepper"	0.0866887
garment	0.0866461
okra	0.0859557
marshmallow	0.0858324
soup	0.0857125
cilantro	0.0854965
hazelnut	0.0853388
kiwi	0.0848281
salt	0.0847819
noodle	0.0846504
foodstuff	0.0845942
mint	0.0843996
product	0.0842697
pasta	0.0840512
"brown sugar"	0.0839794
cream	0.0839177
soy	0.0837415
"soft drink"	0.0834705
Beer	0.0833382
coca	0.0833366
Livestock	0.0827455
commodity	0.0827277
leek	0.0824326
salad	0.0822631
pulp	0.0816655
"cooking oil"	0.0814433
cooky	0.0814345
salmon	0.081279
bacon	0.0811283
"wheat flour"	0.0801715
steel	0.0800217
"dried fruit"	0.0798165
leaf	0.0796199
jalapeno	0.0796088
"lemon juice"	0.0795283
"garlic clove"	0.0794102
"coffee bean"	0.0790905
"food grain"	0.0787773
cake	0.0781919
"sea food"	0.0781567
"olive oil"	0.0779536
soda	0.0778965
"raw material"	0.0777558
caviar	0.0776833
slice	0.0776428
Coal	0.0775558
))
("Banana Republic" (desc 4146.61) (sims
"Abercrombie &AMP; Fitch"	0.223378
"Old Navy"	0.18053
"Eddie Bauer"	0.151474
"L.L Bean"	0.14655
"Tommy Hilfiger"	0.142339
"J. Crew"	0.139926
Gymboree	0.129814
DKNY	0.129811
"Liz Claiborne"	0.127593
"Pottery Barn"	0.124464
Nordstrom	0.117889
"Ralph Lauren"	0.108356
Armani	0.105089
Starbucks	0.103607
Walgreens	0.101454
Levi's	0.0987372
"Calvin Klein"	0.0984688
CVS	0.0982683
Safeway	0.098016
"Fred Meyer"	0.0921058
"Brooks Brothers"	0.0913742
Williams-Sonoma	0.0906517
Reebok	0.0897953
"Saks Fifth Avenue"	0.0895231
docker	0.0861786
"Barnes &AMP; Noble"	0.0855736
"Rite Aid"	0.0850902
"Donna Karan"	0.0816776
McDonalds	0.081598
NIKE	0.0810821
Gucci	0.0806504
Kroger	0.0804056
REI	0.0769508
Walmart	0.0766987
Woolworth	0.0752946
"Circuit City"	0.0740749
"Best Buy"	0.073538
Saks	0.0728826
Publix	0.0713421
Instinet	0.0698908
adidas	0.0698892
Sears	0.0697927
Bloomingdale's	0.0694895
"Neiman Marcus"	0.0689001
"Sharper Image"	0.0678098
"Sprint PCS"	0.0668715
"Dolce &AMP; Gabbana"	0.0667868
Kmart	0.065844
"J.C. Penney"	0.0658334
"Helmut Lang"	0.0657694
"Kraft Foods"	0.0649027
"Toys R Us"	0.0648164
Barneys	0.0643436
GANNETT	0.0642554
"American eagle"	0.0625369
Fubu	0.0622207
Hanes	0.0620806
"Food Lion"	0.0620234
"Jil Sander"	0.0620143
Roebuck	0.0617246
HILFIGER	0.0612959
Albertson's	0.0609881
Macy	0.0608412
eToys	0.0606795
"Pizza Hut"	0.0601318
AIG	0.0600287
"Wal-Mart Stores"	0.0594137
"Dayton Hudson"	0.0590518
CUC	0.0586318
"Home Depot"	0.0582437
timberland	0.0582184
"Louis Vuitton"	0.0578438
Frito-Lay	0.0578373
"royal blue"	0.0567747
"Gap Inc."	0.0566519
Ikea	0.0566343
"Barneys New York"	0.0566067
"Office Depot"	0.0563641
"Hughes Electronics"	0.0555741
Pepsi	0.0553835
"Pepsi Cola"	0.0550593
"Christian Lacroix"	0.0549884
"Radio Shack"	0.0548335
"Taco Bell"	0.0547688
"Krispy Kreme"	0.054077
Wal-Mart	0.0538466
Staples	0.0535141
eyewear	0.0528406
"Apple Computer"	0.0528396
"Time Inc."	0.0527261
Evian	0.0526232
Chanel	0.052441
CNET	0.0524346
"Y&AMP;R"	0.052072
"Burger King"	0.0518601
"Charles Schwab"	0.0513628
Intuit	0.0512488
Lexus	0.0511694
Puma	0.0511513
Tropicana	0.051039
"Levi Strauss"	0.0509658
"Federated Department Stores"	0.0506917
"Network Associates"	0.0505653
donut	0.0504783
Asda	0.0504559
"Karl Lagerfeld"	0.050406
Domino's	0.0503077
"consumer electronics"	0.0502658
"Holiday Inn"	0.0501219
"navy blue"	0.050073
"Tower Records"	0.0499302
skateboarding	0.0499044
Barnesandnoble.com	0.0498224
"Saint Laurent"	0.0495918
Polo	0.0490418
"powder blue"	0.049001
cashmere	0.0488208
Pepsico	0.0486438
MCDONALD's	0.0485809
Sheraton	0.0485469
"Thermo Electron"	0.0484364
"Staples Inc."	0.0484227
"high fashion"	0.0481189
Aloha	0.0477364
Benetton	0.0475833
Budweiser	0.0474376
Abercrombie	0.0473688
Publicis	0.0471984
"Lotus Development Corp."	0.047193
"Cadbury Schweppes"	0.0471537
Penney	0.0471183
Medtronic	0.0469778
Weyerhaeuser	0.0469728
Carrefour	0.0468231
Costco	0.0464795
Xerox	0.0463262
Chrysler	0.046117
"Learning Company"	0.0458355
"Knight Ridder"	0.0458186
discounter	0.0455305
"Gannett Co."	0.0453309
Hyatt	0.0452015
Levi	0.0451888
"Whole Foods"	0.0451314
tux	0.0449925
Primedia	0.0446599
"P&AMP;G"	0.0444177
"Sara Lee"	0.044261
"FAO Schwarz"	0.0437495
Travelocity	0.0437108
Searle	0.0436131
menswear	0.0436076
Versace	0.0434711
"MindSpring Enterprises"	0.0434392
lingerie	0.0434364
"Lord &AMP; Taylor"	0.0434223
"dark blue"	0.0432549
"Land Rover"	0.0432362
China.com	0.0432337
BankAmerica	0.0431956
Interpublic	0.0431813
"GE Capital"	0.0431748
"Conde Nast"	0.0431543
Rockport	0.0430806
"Warner Brothers"	0.0429498
"J. Peterman"	0.0428358
Wiz	0.0427069
CompUSA	0.0426933
"CBS Corp."	0.0425571
Microelectronics	0.0425304
Saturn	0.0425261
"American Express"	0.0424959
sportswear	0.0424694
"Mickey mouse"	0.0424483
"Bud Light"	0.0424456
"Adobe Systems"	0.042332
AutoNation	0.0422621
"Kentucky Fried Chicken"	0.0422343
"Stride Rite"	0.0422045
"Ford Motor"	0.0420847
Heineken	0.0420404
"Mountain Dew"	0.0420075
"Cisco Systems"	0.0418852
Clinique	0.0418298
"John Hancock"	0.0415689
Valentino	0.0414553
"Weight Watchers"	0.041271
Renta	0.0410959
Bridgestone	0.0410589
Freaknik	0.0410519
Mercedes-Benz	0.0408815
"Times Mirror"	0.040822
"Seagram Co."	0.0408177
"pet food"	0.040815
Burberry	0.040655
pullover	0.040651
"Ford Foundation"	0.0406253
Enron	0.0405979
"Wells Fargo"	0.040556
"Coca-Cola Co."	0.0405218
))
(Banc (desc 2581.24) (sims
"NationsBanc Montgomery Securities"	0.334378
"BancBoston Robertson Stephens"	0.246227
"Edward Jones"	0.227192
"Prudential Securities"	0.213189
"Warburg Dillon Read"	0.198098
"ING Barings"	0.196973
"Yankee Group"	0.190896
"Lehman Brothers"	0.189242
"Donaldson, Lufkin &AMP; Jenrette"	0.188215
PaineWebber	0.182741
"Credit Suisse First Boston"	0.179003
"CS First Boston"	0.176814
"Hambrecht &AMP; Quist"	0.170323
"Paine Webber"	0.16393
"Goldman Sachs &AMP; Co."	0.156566
"ABN AMRO"	0.154043
"Merrill Lynch &AMP; Co."	0.149781
"Salomon Smith Barney"	0.146397
"Investors Service"	0.145145
"Bear Stearns"	0.142354
"Goldman, Sachs &AMP; Co."	0.140819
Dataquest	0.129057
"Forrester Research"	0.128254
"Morgan Stanley Dean Witter"	0.127957
"Center for Democracy"	0.127377
"Jupiter Communications"	0.125741
"RAND Corp."	0.125519
"International Data Corp."	0.12551
Commerzbank	0.123879
"Legg Mason"	0.123729
"Goldman Sachs"	0.118402
"Standard &AMP; Poor"	0.110924
"Gartner Group"	0.110879
"Robertson Stephens"	0.109363
"J.P. Morgan"	0.109084
"Gomez Advisors"	0.108799
"Morgan Stanley Dean Witter &AMP; Co."	0.106672
"Merrill Lynch"	0.102981
"Center for Strategic"	0.101296
"Carnegie Endowment"	0.0966157
"Heritage Foundation"	0.0949537
Donaldson	0.0907124
"Cato Institute"	0.0884265
Moody's	0.0869946
"Morningstar Inc."	0.0868047
"CBS Sports"	0.0866873
Morningstar	0.0861577
IDC	0.084546
"Morgan Stanley"	0.0841725
"Electronic Privacy Information Center"	0.0838975
"Deutsche Bank"	0.0833393
Goldman	0.0814747
"American Enterprise Institute"	0.0766792
"brokerage house"	0.0747353
HSBC	0.0726059
"Goldman Sachs Group"	0.0708648
"J.P. Morgan &AMP; Co."	0.0641137
"Royal Bank of Scotland"	0.0631739
Paribas	0.0629824
"Consumers Union"	0.062523
"Salomon Brothers"	0.062366
Haaretz	0.0608842
"Urban Institute"	0.0604632
Corp.	0.060274
"Dresdner Bank"	0.0589002
"Brookings Institution"	0.0583561
"Ernst &AMP; Young"	0.0574731
Putnam	0.0556327
"Violence Policy Center"	0.0549317
"Bank of America"	0.0547551
"Prudential Insurance Co."	0.054114
"Vanguard Group"	0.053824
"Putnam Investments"	0.0528815
Izvestia	0.0523037
"Family Research Council"	0.0517728
"Union of Concerned Scientists"	0.0513178
DRI	0.0502247
"Levi Strauss &AMP; Co."	0.0489389
"Chase Manhattan Bank"	0.0485319
SAFY	0.0472819
"Consumer Federation"	0.046296
"Societe Generale"	0.0457042
REALTY	0.0450743
fact-finding	0.0448096
"Natural Resources Defense Council"	0.044775
Forrester	0.0439203
"Senate Governmental Affairs Committee"	0.0436032
"Center for Responsive Politics"	0.0434781
masse	0.0429364
"Monetary Policy Committee"	0.0428612
Citibank	0.0426672
"Turner Sports"	0.042395
una	0.0421442
"Banking Committee"	0.0420177
Ought	0.0414064
"PC Data"	0.0401696
PricewaterhouseCoopers	0.0400224
"Fidelity Investments"	0.0400143
))
("BancBoston Robertson Stephens" (desc 1493.48) (sims
"NationsBanc Montgomery Securities"	0.400314
"Prudential Securities"	0.352586
"Hambrecht &AMP; Quist"	0.318773
"CS First Boston"	0.30124
"Donaldson, Lufkin &AMP; Jenrette"	0.273312
"ING Barings"	0.26215
"Warburg Dillon Read"	0.258242
"Edward Jones"	0.256537
"Paine Webber"	0.251465
"Goldman, Sachs &AMP; Co."	0.250275
Banc	0.246227
"Lehman Brothers"	0.243654
"Goldman Sachs &AMP; Co."	0.24313
"Credit Suisse First Boston"	0.240103
PaineWebber	0.237454
"Merrill Lynch &AMP; Co."	0.235518
"Robertson Stephens"	0.233788
"Jupiter Communications"	0.224303
"Morgan Stanley Dean Witter"	0.223827
"Bear Stearns"	0.22143
"Goldman Sachs"	0.205234
"Salomon Smith Barney"	0.205121
"ABN AMRO"	0.204347
Dataquest	0.201268
"Yankee Group"	0.201133
"Gartner Group"	0.191549
"Center for Democracy"	0.189068
"Merrill Lynch"	0.18299
"Morgan Stanley Dean Witter &AMP; Co."	0.168701
"Forrester Research"	0.163364
"Morgan Stanley"	0.162879
"RAND Corp."	0.162542
"J.P. Morgan"	0.159137
"CBS Sports"	0.15502
"International Data Corp."	0.154855
IDC	0.151521
"J.P. Morgan &AMP; Co."	0.150034
Commerzbank	0.146375
"Carnegie Endowment"	0.144195
"Deutsche Bank"	0.143438
"Gomez Advisors"	0.13448
"Legg Mason"	0.133079
"Heritage Foundation"	0.13069
Goldman	0.127211
"Cato Institute"	0.121516
"Consumers Union"	0.120782
"Bankers Trust"	0.116806
"Electronic Privacy Information Center"	0.115597
"Investors Service"	0.115454
"Goldman Sachs Group"	0.113865
"American Enterprise Institute"	0.110322
"Bank of America"	0.106297
"Standard &AMP; Poor"	0.106049
"Morningstar Inc."	0.101232
"Brookings Institution"	0.100501
DRI	0.0996797
"Center for Strategic"	0.0995094
Morningstar	0.0987071
"Natural Resources Defense Council"	0.098148
"Urban Institute"	0.0973574
"Andersen Consulting"	0.0969907
"Federal Reserve Bank"	0.0969057
Putnam	0.0865279
"Turner Sports"	0.0859078
"Family Research Council"	0.0854317
Forrester	0.0853919
"Standard Chartered Bank"	0.0832003
Salomon	0.0831791
Sachs	0.0819145
"Electronic Frontier Foundation"	0.079812
PricewaterhouseCoopers	0.0789826
DKB	0.0783164
"Ernst &AMP; Young"	0.0778386
"Salomon Brothers"	0.0777289
"Violence Policy Center"	0.0773382
Corp.	0.0764143
Donaldson	0.0760436
"Chase Manhattan Bank"	0.0736786
"Jewish Museum"	0.0725246
"Freedom Forum"	0.0725121
"brokerage house"	0.0720574
Moody's	0.071962
Paribas	0.0719353
Citibank	0.0712579
"Union of Concerned Scientists"	0.069448
"ABC Sports"	0.0693027
Haaretz	0.0691735
"Nomura Securities"	0.0675889
HSBC	0.067199
"Fox Sports"	0.0669375
"Legion of Honor"	0.0659259
ACB	0.0657117
"Dresdner Bank"	0.065533
TAZARA	0.065233
"Putnam Investments"	0.0651695
"Field Poll"	0.0640255
"Urban League"	0.0637113
"PC Data"	0.0621914
"Council on Foreign Relations"	0.0617656
"Smith Barney"	0.0608827
"Charles Schwab"	0.0606134
"Fox Sports News"	0.0602476
Izvestia	0.0592837
"T. Rowe Price"	0.059023
"Omnicom Group"	0.0586223
"Candlestick Park"	0.0582158
E-LOAN	0.0571618
"American Civil Liberties Union"	0.0568805
"Sdn Bhd"	0.0563949
"Circuit Court"	0.0558901
"Rockefeller University"	0.0546004
WEF	0.0544719
"Deloitte &AMP; Touche"	0.0544102
"Australian Cricket Board"	0.0540396
"Public Citizen"	0.0535676
Stearns	0.0533432
MBNA	0.0533333
"Vanguard Group"	0.0532882
"First Union"	0.0526676
"Fidelity Investments"	0.0523094
"Societe Generale"	0.0522171
"American Psychological Association"	0.0516896
KPA	0.0516699
"Federal District Court"	0.0514989
"Fox News"	0.05148
PICC	0.0514019
"McKinsey &AMP; Co."	0.0512195
"Hongkong Telecom"	0.0510277
"Network Associates"	0.0504548
"JP Morgan"	0.0503509
"Cooper Union"	0.0501447
MACROMEDIA	0.0499914
HKMA	0.0498472
"Handgun Control Inc."	0.0492897
"Royal Bank of Scotland"	0.0491897
"main office"	0.0491763
Deutsche	0.0490439
"Pacific Bell Park"	0.0489863
Denel	0.0487329
SMI	0.0485971
"Defense Fund"	0.0485806
"Wine Institute"	0.0481976
"Kaiser Permanente"	0.0478481
SDB	0.047843
"Levi Strauss &AMP; Co."	0.0478018
"Saatchi &AMP; Saatchi"	0.047719
"Credit Lyonnais"	0.0474696
Airways	0.0474463
"closed-end fund"	0.0473359
"Solomon R. Guggenheim Museum"	0.0472556
"Anti-Defamation League"	0.0464996
"Chase Manhattan"	0.0464043
"International Rescue Committee"	0.0461189
"bond trader"	0.0459689
"Hebrew University"	0.0454019
"Central Intelligence Agency"	0.045135
"Mather Worldwide"	0.0450932
rainout	0.0445968
ZIFF-DAVIS	0.0444819
BankAmerica	0.0444729
"account executive"	0.0441078
"Center on Budget"	0.0439942
"investment firm"	0.0439548
Enron	0.0438514
BSO	0.0438502
Cabletron	0.0436293
"Court of Appeal"	0.043428
Stratus	0.0432811
"Center for Responsive Politics"	0.0432119
"Bell Labs"	0.0431272
"Price Waterhouse"	0.0428836
"National Council of La Raza"	0.0427892
NationsBank	0.0425939
"Juilliard School"	0.0418769
"Federal Reserve Bank of New York"	0.0418073
"City College"	0.0417807
woodworker	0.0415734
"American Federation"	0.0415328
"consulting company"	0.041135
ENTERGY	0.040995
"Lotus Development Corp."	0.0408597
"Legal Aid Society"	0.0407622
"Jewish Community Center"	0.040706
"Apollo Theater"	0.040445
"Silicon Graphics"	0.0404125
CompUSA	0.040358
"Operation Rescue"	0.0402458
"U.N. Headquarters"	0.0402395
Presidio	0.0401597
Lockheed	0.0400879
))
(band (desc 147833) (sims
"rock band"	0.161674
orchestra	0.130159
group	0.129129
musician	0.127693
singer	0.119165
music	0.117828
artist	0.11383
performer	0.10226
choir	0.101418
gang	0.100489
Song	0.0995469
album	0.0971987
troupe	0.0963322
ensemble	0.0949561
"rock group"	0.0945603
quartet	0.0902775
trio	0.0902119
dancer	0.0863714
show	0.0832782
team	0.0818617
cast	0.0797471
tune	0.079203
concert	0.0778614
movie	0.0770433
composer	0.076987
bunch	0.0762128
film	0.0756904
guy	0.075405
chorus	0.0749869
family	0.0747679
actor	0.07403
fan	0.073754
kid	0.0730922
Beatles	0.073014
club	0.0727953
man	0.0725705
drummer	0.0723476
Jazz	0.0722627
star	0.0715144
player	0.0714673
audience	0.071311
crowd	0.0705501
movement	0.0695352
musical	0.0693548
Outfit	0.0692256
squad	0.0689789
rock	0.0686892
crew	0.0684094
handful	0.068253
opera	0.0681129
guitar	0.0680555
dance	0.0679533
company	0.067743
act	0.0675285
writer	0.0674602
guitarist	0.0672606
sound	0.06713
parade	0.0665607
girl	0.0663402
rocker	0.065978
entertainer	0.0657986
army	0.0653647
style	0.0652515
people	0.0652419
Recording	0.0650608
woman	0.064951
athlete	0.0643843
organization	0.0642822
pianist	0.0636396
friend	0.0632003
thousand	0.063046
character	0.0628094
rhythm	0.0627391
voice	0.062547
force	0.0624783
festival	0.062206
generation	0.0618913
CD	0.0613581
boy	0.0612776
life	0.0612562
dancing	0.0611921
scene	0.0609856
theater	0.0608919
hundred	0.0606594
genre	0.0605111
culture	0.0603059
actress	0.0602699
collection	0.0602453
some	0.060186
Coalition	0.0601046
comedian	0.060102
politician	0.0600336
contingent	0.0600059
"Bob Dylan"	0.0598881
folk	0.0598396
child	0.0598088
label	0.0597001
piece	0.0595409
couple	0.0593386
party	0.059306
fighter	0.0589552
dozen	0.0586689
songwriter	0.0586005
student	0.0584732
member	0.0584492
version	0.0583987
image	0.058248
duo	0.0581928
sport	0.0581274
hero	0.0578712
art	0.0576484
soundtrack	0.0575553
tribe	0.057545
number	0.0572416
soldier	0.0571715
designer	0.0570812
filmmakers	0.0568022
father	0.0567494
mob	0.0567288
story	0.0566555
community	0.0565171
many	0.0563914
"young man"	0.0563635
corps	0.0562318
celebrity	0.0560809
car	0.0558947
drama	0.0558366
youth	0.0558191
pair	0.0557794
mother	0.0557667
lyric	0.0557255
teen-ager	0.0556344
machine	0.0555091
drum	0.0553499
author	0.0553499
performance	0.055347
king	0.0552617
legend	0.0550799
symphony	0.0550687
radio	0.0550356
parent	0.0548705
video	0.0548625
name	0.0547929
network	0.054767
poet	0.0546252
ballad	0.0541099
legion	0.0537743
son	0.0536864
rebel	0.0536826
blue	0.0536731
brother	0.0536655
kind	0.0535635
picture	0.0534474
line	0.0534092
choreographer	0.0534008
"rock 'n' roll"	0.0533435
ballet	0.0532459
pop	0.0531782
cult	0.0531758
ring	0.0531663
rap	0.0531328
someone	0.053061
journalist	0.0529982
horse	0.0529496
instrument	0.0528468
tradition	0.0528389
producer	0.0528033
gathering	0.0527664
dog	0.0527491
guerrilla	0.0526265
tape	0.0525525
business	0.0524996
soul	0.0523615
costume	0.0522877
her	0.0521987
program	0.0519291
restaurant	0.0518387
comedy	0.0518206
score	0.0517229
troop	0.0516149
model	0.0515965
supporter	0.0515767
"football team"	0.051573
owner	0.0515391
solo	0.0515188
groove	0.0514488
golfer	0.0514125
talent	0.051403
school	0.0513323
church	0.0512509
hand	0.0511828
piano	0.0510674
tale	0.0508286
two	0.0508257
presence	0.0507697
world	0.0507278
lot	0.0505937
brand	0.0505713
mom	0.0505176
sister	0.0504726
))
(band-aid (desc 4060.69) (sims
bandage	0.128678
Hands-off	0.088947
"ice pack"	0.0831136
"quick fix"	0.0804098
"magic bullet"	0.079359
splint	0.0784885
ointment	0.0747359
pillowcase	0.0739487
tampon	0.0731816
deodorant	0.0725343
blinder	0.0723095
stitch	0.0716327
Advil	0.0665909
stopgap	0.0654567
"guardian angel"	0.0653759
"rubber boot"	0.0634297
sealant	0.0633474
"jigsaw puzzle"	0.063076
gauze	0.0630131
blinker	0.0619432
brainstorm	0.0617886
earphone	0.0615902
salve	0.0613181
blister	0.0608471
"Trojan Horse"	0.0601772
proactive	0.0601542
"tit for tat"	0.0596546
"fig leaf"	0.0590402
"top billing"	0.058625
"neck brace"	0.0584372
abrasion	0.0579538
sunscreen	0.0579495
"life vest"	0.0577433
"rubber band"	0.0569558
"piece of cloth"	0.0565495
"wedding ring"	0.0558356
welt	0.0557236
sundial	0.0556395
"face saving"	0.055324
go-slow	0.0550107
swoosh	0.0545601
"hole in the ground"	0.0545124
"bird of prey"	0.0532974
"slip of paper"	0.0531085
"coat of paint"	0.0529277
cushioning	0.0525695
bandanna	0.0515235
hex	0.0514978
asterisk	0.0514407
copout	0.0514258
razor	0.0512179
cure-all	0.051106
toothpaste	0.0509759
hiccup	0.0505525
pinwheel	0.0503769
Blush	0.049399
aspirin	0.0491301
snowball	0.0490676
chokehold	0.0490215
"name tag"	0.0488158
gizmo	0.0487477
lipstick	0.048698
Kleenex	0.0486863
"canned goods"	0.0486086
"boxing glove"	0.0483551
"shock therapy"	0.0483002
"grocery bag"	0.0481001
bandana	0.0480427
Gash	0.0479632
"house party"	0.0476003
padding	0.0475672
toothbrush	0.0474565
"baseball glove"	0.0474406
yarmulke	0.0469196
leech	0.0469192
decal	0.046901
gunk	0.0467275
sandpaper	0.0463707
"oxygen mask"	0.0463055
"background noise"	0.046131
muzzle	0.0460718
mitt	0.0457945
"Miller Lite"	0.04576
"margin call"	0.0456959
anticlimax	0.0455731
"radio transmitter"	0.0454997
palliative	0.0454394
"book bag"	0.0454193
nonstarter	0.0452798
towel	0.0452119
"Ferris wheel"	0.0452008
afterburner	0.0451608
steamroller	0.0450345
diaper	0.0450102
gnat	0.0444618
customization	0.0444013
crock	0.0443395
"gas stove"	0.0441964
"hard hat"	0.044091
"seal of approval"	0.0439061
"electric motor"	0.0438027
necktie	0.0436862
pantyhose	0.0435822
balm	0.0432489
Halo	0.0432486
pimple	0.0432402
stapler	0.0429894
painkiller	0.0429134
lotion	0.0428898
tinsel	0.0428822
cardboard	0.0427877
snooze	0.0426978
hands-on	0.0426263
ibuprofen	0.0425936
choirboy	0.0425095
paw	0.0424796
moisturizer	0.0423524
headphone	0.0423334
freckle	0.0422574
antifreeze	0.0421219
"traffic cop"	0.042108
"tax break"	0.0421026
"ping-pong ball"	0.041975
scowl	0.0419141
eyeliner	0.0418655
guillotine	0.0417718
broad-based	0.0417481
scab	0.0416415
abatement	0.0415749
"jelly bean"	0.0415383
"exclamation point"	0.0415092
"life preserver"	0.0413618
livery	0.041333
linoleum	0.0412173
"New Democrat"	0.0411417
drumstick	0.0411253
electrolyte	0.0410885
alternator	0.0410873
"pedestrian bridge"	0.0410581
defibrillator	0.0409933
fishnet	0.0409559
smudge	0.0408944
"knockout punch"	0.0407418
"telephone book"	0.0407132
slicker	0.0406691
raincoat	0.040659
fuzz	0.0404049
"woman's body"	0.0403747
patchwork	0.0402432
"two fingers"	0.0400867
))
(Banda (desc 1337.95) (sims
"Estados Unidos"	0.146825
Guerra	0.134832
queso	0.126174
Carrera	0.118506
Ruehe	0.108998
Amor	0.101628
Vasile	0.0990683
Puente	0.0973748
LOS	0.0960746
las	0.0955808
Rocha	0.0937887
Grange	0.0936795
Reforma	0.0925203
fue	0.0922216
Mundo	0.0912152
Brasil	0.0905153
Nickerson	0.0891991
que	0.0891524
OCA	0.08864
Klerk	0.0871157
Toro	0.0870033
Nasrallah	0.0853002
Vina	0.0852334
Kasoulides	0.0839209
Plata	0.083152
es	0.0831388
Fuente	0.0831252
Waigel	0.0824751
Para	0.0816754
Amin	0.0815213
Lamberth	0.0815063
Fernandes	0.0811784
Aventajado	0.0810234
Yastrzhembsky	0.080214
Marcos	0.0791982
Balaguer	0.0789729
espanol	0.0785149
Baz	0.0780545
Malu	0.0767831
Noticias	0.0763821
Skuratov	0.0755156
Orban	0.0754544
Masire	0.0752328
Juma	0.0751233
"Abidine Ben Ali"	0.074689
Mokhehle	0.0745186
Sykes	0.0745049
Cristina	0.0744529
Mercado	0.0743127
Tarawneh	0.0736468
Sumaye	0.0730577
Rua	0.0729346
Garza	0.0726458
Vita	0.072473
Tete	0.0718188
Hodler	0.0717745
Ruthardt	0.0715589
SAL	0.0712404
Stoyanov	0.0708535
Ville	0.0708482
Wenger	0.0708064
Deportivo	0.0704476
Alatas	0.0702073
Havelange	0.0699388
electronica	0.069919
Hoya	0.0697405
Azad	0.0688454
Lobo	0.0684079
Allchin	0.0683465
Phieu	0.0683188
Boca	0.0677154
Majko	0.0674753
brio	0.0672449
Nkomo	0.0670534
Villar	0.0670478
Zuma	0.0665176
Nzo	0.066377
Duvalier	0.0661997
Karimov	0.0656989
Santander	0.0654145
Bhattarai	0.0652049
Insulza	0.0651702
Rabbani	0.0647859
Carollo	0.064669
el-Bashir	0.0644081
Eyadema	0.0643952
Korman	0.0643883
Notimex	0.064343
Severino	0.0642881
Barrio	0.0642529
Advani	0.0641018
Kumaratunga	0.0639164
Ikimi	0.0638006
Bustamante	0.0637663
Teresa	0.0636554
Ganzouri	0.0636546
Aquino	0.0636184
Nemtsov	0.063602
Rodionov	0.0635636
mano	0.0635495
Gosper	0.0633551
casa	0.0631468
Julio	0.0630613
Tudjman	0.0627784
Renta	0.0627318
Oliveira	0.062265
Amour	0.0619823
Mello	0.0619662
Bosman	0.0616614
Edelstein	0.0616586
Sha	0.0616424
Narayanan	0.0615989
Leghari	0.0615268
Houdini	0.0612685
Soares	0.0611514
Wolfson	0.0611299
Westendorp	0.0611037
Arens	0.0608763
Lugar	0.0608554
Olsen	0.0608519
Lissouba	0.0607069
Klestil	0.0605439
Zeroual	0.0604106
Bruijn	0.0603488
Bizimungu	0.0602632
Nebiolo	0.0600403
Diouf	0.0597248
Massey	0.0595663
"Peter Verniero"	0.0594705
Alarcon	0.0594237
Ruggiero	0.0593461
Boueiz	0.0593188
Jovanovic	0.0592559
"Vladimir Meciar"	0.0592325
Stroyev	0.0589538
Singson	0.0589531
Gallo	0.0589182
Abdel-Meguid	0.05881
Serna	0.0587007
Laguna	0.0586453
mariachi	0.0585801
"Supreme Judicial Court"	0.0584409
Ashrawi	0.0583902
dia	0.0581624
Murayama	0.0581137
"Bill Skate"	0.0580868
"Ernesto Zedillo"	0.0580127
UCI	0.057874
Mkapa	0.0578246
Shareh	0.0576353
Bolger	0.0574712
Jayakumar	0.0573765
Zou	0.0573619
Prado	0.0573014
Benazir	0.0572527
Patel	0.0571974
Bongo	0.0571087
Saleh	0.0569702
Hanley	0.0569596
Duisenberg	0.0569275
Oro	0.056767
"Moscow Times"	0.0566284
Hamid	0.0566264
"Orlando Mercado"	0.0565222
Independiente	0.0565174
Dias	0.0564995
Khalil	0.0562568
Rosario	0.0562531
Coia	0.056171
ISSEL	0.0559401
Tsang	0.0559145
Bruton	0.0556723
Niyazov	0.0555251
Harmoko	0.0554812
Prescott	0.0554252
Bulatovic	0.0553666
Ershad	0.0552971
Castaneda	0.0552876
su	0.05522
Velayati	0.0552156
Gil	0.0551236
Madeleine	0.055083
Tillman	0.0548206
Jayasinghe	0.0547186
Guterres	0.0547179
Papandreou	0.0546945
Akayev	0.054651
Demirel	0.0546252
Zadornov	0.0546065
Ong	0.0545634
Kato	0.0545094
Siazon	0.0544704
Sadat	0.0543389
Kyprianou	0.0543222
Allende	0.0542744
Grande	0.0541989
Borodin	0.0541665
Okada	0.0540627
Bondevik	0.0538843
Meciar	0.0538149
))
(bandage (desc 13145.8) (sims
band-aid	0.128678
"ice pack"	0.127464
splint	0.117312
abrasion	0.11665
gauze	0.116332
bruise	0.11117
scar	0.11031
towel	0.109693
brace	0.109227
Gash	0.100882
welt	0.100248
handkerchief	0.0974544
laceration	0.0884503
"neck brace"	0.0849212
tattoo	0.083817
blinder	0.0828822
blister	0.0818387
stitch	0.0814873
shroud	0.0811694
scarf	0.0807758
mask	0.080238
syringe	0.0797816
foam	0.0786037
diaper	0.0782932
contusion	0.0777163
pad	0.0772367
overcoat	0.0770195
sore	0.0764639
scab	0.0749002
apron	0.0746828
cloth	0.0746598
blanket	0.0739717
"wedding ring"	0.0719759
bandanna	0.0714614
glove	0.070117
rag	0.0699664
veil	0.0695137
strap	0.0691032
ointment	0.0687996
bandana	0.068119
"plastic wrap"	0.0679319
"prayer shawl"	0.0669184
sock	0.0667219
skin	0.065532
stubble	0.0646074
cellophane	0.0641879
bracelet	0.0638464
tarp	0.0633312
lotion	0.0631527
handcuff	0.0628186
mesh	0.0626795
sleeve	0.0625955
yarmulke	0.0620087
helmet	0.0618893
headgear	0.0611075
"boxing glove"	0.0609952
pimple	0.0609175
knuckle	0.0608604
sunglasses	0.0606021
hair	0.0601908
suture	0.0599555
"black eye"	0.0598283
"baseball cap"	0.0597438
sheeting	0.0592635
linen	0.0591911
tampon	0.0581724
tube	0.0580389
lump	0.0580216
catheter	0.0578337
dressing	0.0577984
tissue	0.0574258
coverall	0.0570092
blinker	0.0569281
sweater	0.0568657
shackle	0.0566862
cloak	0.0558783
coating	0.0557259
sheath	0.0556411
painkiller	0.0556406
shirt	0.0556261
plastic	0.0552335
coat	0.0551119
insulation	0.0550935
visor	0.055093
cheesecloth	0.0550877
jacket	0.0549078
"aluminum foil"	0.0546363
wart	0.054466
goggles	0.0544114
clamp	0.0538989
"ring finger"	0.0537386
"face mask"	0.0536797
netting	0.0535985
"index finger"	0.0535939
cord	0.0535367
wrapping	0.0534339
earplugs	0.0534091
fabric	0.053362
inhaler	0.0532721
wool	0.05307
"dark glasses"	0.0529384
prosthesis	0.0527618
"hydrogen peroxide"	0.0523056
"life vest"	0.0515137
"medical instrument"	0.0512083
tarpaulin	0.0511945
"paper towel"	0.0510765
salve	0.0509279
needle	0.0508913
"paper bag"	0.0508185
stucco	0.0506824
"ski mask"	0.0506047
quilt	0.0503137
pillowcase	0.0501963
Clothing	0.0501676
"oxygen mask"	0.0501652
vial	0.0500862
x-ray	0.0499651
sweatshirt	0.0496661
plaster	0.0496255
boot	0.0495547
sheet	0.0495333
hose	0.0494876
ribbon	0.0494378
pant	0.0493972
"mosquito net"	0.0491593
"steel plate"	0.0489998
fur	0.0489959
Zipper	0.0488648
patch	0.0488546
padding	0.0488341
smudge	0.0487846
"hard hat"	0.048389
freckle	0.0483866
robe	0.0483268
lesion	0.0482544
mustache	0.0482371
undershirt	0.0482113
wristband	0.0480733
pouch	0.0480498
shawl	0.0477283
aspirin	0.0477101
Beard	0.0475255
halter	0.0475029
shoe	0.0474025
mattress	0.0473307
stethoscope	0.0472026
collar	0.0471982
deodorant	0.0470784
scaffolding	0.0468408
glue	0.0468291
eyeglass	0.0468234
condom	0.0467452
"sleeping bag"	0.046621
antibiotic	0.0464281
swelling	0.0463915
curtain	0.0461877
mole	0.046134
scowl	0.0460424
smock	0.0459851
"bow tie"	0.0459643
Vaccine	0.0458781
beret	0.0454204
"toilet paper"	0.0453823
adhesive	0.0452793
stain	0.0452586
"middle finger"	0.0451618
vinyl	0.0451233
Sash	0.04498
sideburn	0.044973
"safety belt"	0.0444489
casing	0.0444035
knickers	0.0443367
tile	0.0443058
toothpaste	0.044293
jersey	0.0442682
braid	0.0442649
"mink coat"	0.0441774
wrapper	0.0441708
belt	0.044157
bra	0.0441387
sequin	0.0439789
"canned goods"	0.0439706
garb	0.0438671
acupuncture	0.0438548
fluid	0.0438466
"hearing aid"	0.0437303
denim	0.0437267
"rubber band"	0.0436516
underpants	0.0436166
"contact lense"	0.043557
shampoo	0.0435294
garment	0.0435276
T-shirt	0.0434033
incision	0.0432697
mulch	0.0432619
packet	0.0430793
stocking	0.0428291
parka	0.0427179
canvas	0.0426999
))
(bandana (desc 3310.27) (sims
bandanna	0.314678
scarf	0.168442
smock	0.166396
"cowboy hat"	0.166345
turban	0.160156
wristband	0.158159
suspender	0.152986
"leather jacket"	0.146858
yarmulke	0.141994
waistcoat	0.141419
"baseball cap"	0.140484
caftan	0.135548
handkerchief	0.135154
"bow tie"	0.133476
"ski mask"	0.132447
knickers	0.130871
fedora	0.130149
coverall	0.129318
windbreaker	0.128207
armband	0.127147
parka	0.125915
"straw hat"	0.125636
vest	0.124529
bellbottoms	0.123684
"dark glasses"	0.12248
headband	0.119641
"dress shirt"	0.118887
miniskirt	0.118491
vestment	0.118413
beret	0.118411
goatee	0.118233
"cowboy boot"	0.117974
jumpsuit	0.117689
sunglasses	0.11693
undershirt	0.116041
towel	0.115652
shawl	0.114073
mustache	0.112671
fatigues	0.110896
sweatshirt	0.110442
"bulletproof vest"	0.110358
corduroy	0.109721
hat	0.108773
"polo shirt"	0.108772
shirt	0.107574
bustier	0.107406
robe	0.106143
apron	0.105998
"boxing glove"	0.105245
loincloth	0.103673
tablecloth	0.103082
overcoat	0.102081
tunic	0.101985
"hard hat"	0.101737
sock	0.101519
sarong	0.101364
blouse	0.101254
jacket	0.101065
pillowcase	0.100721
trouser	0.0994922
"trench coat"	0.0994289
"top hat"	0.0988549
Cape	0.0979416
sweater	0.0977587
headgear	0.0976637
"feather boa"	0.0974858
headdress	0.0967111
"military uniform"	0.0966542
"rubber boot"	0.096317
wig	0.0942114
"nose ring"	0.0941952
pantsuit	0.0936476
pant	0.0933701
"mink coat"	0.093057
necktie	0.0929724
mitten	0.0923198
sleeve	0.0918722
turtleneck	0.091253
"Star of David"	0.0911806
veil	0.0908295
bluejeans	0.0906814
skullcap	0.0905009
"life vest"	0.0902905
pendant	0.0902156
tights	0.0899821
nightgown	0.0899122
"sport shirt"	0.0894726
bodysuit	0.0890316
"sweat pants"	0.0890044
"stiletto heel"	0.0888034
"pants suit"	0.0882098
cardigan	0.0878254
miniskirts	0.0873654
"tennis shoe"	0.0870352
bedsheets	0.0869399
eyeshadow	0.0869345
Sari	0.0861912
sandal	0.0859639
cloak	0.0858282
Beard	0.0858037
carnation	0.0857777
goggles	0.0856616
T-shirt	0.0854189
"black tie"	0.0851514
"prayer shawl"	0.084944
knapsack	0.0849238
"cocktail dress"	0.0848392
ascot	0.0847126
pullover	0.0845646
sneaker	0.0843966
underpants	0.0842118
ribbon	0.0838712
"dress uniform"	0.0835023
earring	0.0829371
G-string	0.0822933
Hood	0.0822603
helmet	0.0819374
"blue jean"	0.0819198
"belt buckle"	0.0818493
hairdo	0.0817706
"sports jacket"	0.08136
ponytail	0.0813087
"food coloring"	0.0808971
raincoat	0.0805875
"wedding ring"	0.080394
slicker	0.0802786
Poncho	0.0801884
bathrobe	0.0798072
moustache	0.0794946
Bonnet	0.0794721
choker	0.0793065
jersey	0.0790935
"piece of cloth"	0.0785447
necklace	0.0785445
stitching	0.0784882
garb	0.0784862
glove	0.0783713
loafer	0.0781261
khaki	0.0778829
kilt	0.0778677
sheath	0.0775256
brooch	0.0773548
slipper	0.0773379
Sash	0.0773339
stripe	0.0772762
Thong	0.0770451
bracelet	0.0769309
lipstick	0.0766304
blinder	0.0765655
bunting	0.076246
"business suit"	0.0760508
pillow	0.075982
gown	0.0756584
dreadlocks	0.0755544
welt	0.0752628
pajama	0.0750967
pigtail	0.0748092
"nail polish"	0.0747843
jean	0.0747269
shoelace	0.0746993
blazer	0.074622
toupee	0.0737564
stole	0.0732969
chiffon	0.073239
cleat	0.0731456
camouflage	0.0729912
muffler	0.0728705
underwear	0.0727816
bikini	0.0725726
earpiece	0.072397
legging	0.0720844
"oxygen mask"	0.0716294
leotards	0.0712106
tattoo	0.0708571
velvet	0.0706231
"bathing suit"	0.0699234
eyeliner	0.0697963
stocking	0.06979
"rubber band"	0.0696367
blinker	0.0695445
"hot pants"	0.0681239
bandage	0.068119
pantyhose	0.0676099
collar	0.0675964
"evening dress"	0.0675835
regalia	0.0670191
tarpaulin	0.066954
"neck brace"	0.066588
STETSON	0.0660575
"running shoe"	0.0657515
bra	0.065674
brassiere	0.0649215
"felt hat"	0.0648689
streamer	0.0648631
lettering	0.0643677
stripes	0.0642749
girdle	0.0640133
"ice pack"	0.0638123
mitt	0.0637723
bodice	0.0635389
))
(bandanna (desc 3562.41) (sims
bandana	0.314678
windbreaker	0.214407
"cowboy hat"	0.186736
suspender	0.174202
"bow tie"	0.171612
"polo shirt"	0.170925
sweatshirt	0.169032
"belt buckle"	0.162706
beret	0.155937
"sport shirt"	0.154683
"leather jacket"	0.154454
"baseball cap"	0.152463
bluejeans	0.151845
undershirt	0.15102
jumpsuit	0.150562
waistcoat	0.15033
vest	0.148608
"tennis shoe"	0.143696
"cowboy boot"	0.142722
scarf	0.141653
handkerchief	0.141201
corduroy	0.134578
blouse	0.134047
"sweat pants"	0.133561
smock	0.131742
"dark glasses"	0.130263
shirt	0.130149
turtleneck	0.128464
parka	0.12781
sneaker	0.126437
sock	0.12453
sunglasses	0.124179
trouser	0.119533
"sports jacket"	0.119157
coverall	0.118399
turban	0.118149
pullover	0.117713
"rubber boot"	0.117125
headband	0.116002
T-shirt	0.114714
sweater	0.114711
"boxing glove"	0.112836
"dress shirt"	0.111755
caftan	0.111653
Poncho	0.110354
jacket	0.109816
armband	0.109756
sandal	0.109446
bathrobe	0.108702
"hard hat"	0.107184
sarong	0.10702
necktie	0.106852
khaki	0.106524
"Star of David"	0.106508
bellbottoms	0.106445
apron	0.105862
towel	0.104121
miniskirt	0.103817
"top hat"	0.103532
cardigan	0.103527
pant	0.102547
"stiletto heel"	0.102321
"straw hat"	0.101682
goatee	0.101621
bustier	0.101175
capris	0.100215
"blue jean"	0.100202
overcoat	0.0994871
cutoffs	0.0994829
"pants suit"	0.0993402
loafer	0.0992054
STETSON	0.0982461
jersey	0.097427
"ski mask"	0.0972099
tunic	0.0969943
Beard	0.0967307
goggles	0.0965945
underwear	0.0962702
hat	0.0962218
skirt	0.0960765
"running shoe"	0.0956449
boot	0.09531
jean	0.0951214
"trench coat"	0.0950854
"combat boot"	0.0945764
skullcap	0.0937912
slack	0.0935225
pillowcase	0.0921944
"food coloring"	0.0921897
knapsack	0.0920236
Chino	0.0918301
bikini	0.090696
shawl	0.090014
streamer	0.0898321
bodice	0.0896637
robe	0.0891459
fedora	0.0891429
headdress	0.08839
pajama	0.0876184
miniskirts	0.0869321
cloak	0.0865875
mustache	0.0864446
"bowler hat"	0.0851783
panty	0.084373
visor	0.0842966
prosthesis	0.0841776
"feather boa"	0.0830163
pigtail	0.0829745
wristband	0.0820969
"bathing suit"	0.0816653
"military uniform"	0.0815725
knickers	0.0814788
raincoat	0.0813233
"beach towel"	0.0811613
pantsuit	0.0810628
legging	0.0808346
"neck brace"	0.0803912
tablecloth	0.0801243
slicker	0.0800421
"evening gown"	0.0799723
braid	0.0797504
underpants	0.0790576
ribbon	0.0782659
necklace	0.0779605
Sash	0.0778674
bib	0.0777989
Sari	0.0767872
glove	0.0767685
denim	0.0764472
G-string	0.0761202
chiffon	0.0756983
"cocktail dress"	0.0755829
carnation	0.0754975
tights	0.075398
ascot	0.0753864
helmet	0.0753664
"prayer shawl"	0.0750375
sleeve	0.0750107
dreadlocks	0.0749616
wig	0.0747337
trousers	0.0747187
cleat	0.0741361
"piece of cloth"	0.0740797
"life vest"	0.0740696
"evening dress"	0.0739082
blazer	0.0733201
ruffle	0.0733005
yarmulke	0.0731602
ponytail	0.0731315
flip-flop	0.0726489
"coffee mug"	0.0725581
"business suit"	0.0722359
slipper	0.0719669
kilt	0.0718163
"bulletproof vest"	0.0716055
bandage	0.0714614
brassiere	0.0712772
"dress uniform"	0.0708151
lipstick	0.0703281
velvet	0.0699716
napkin	0.0698333
loincloth	0.0696147
hairdo	0.0694723
bolero	0.0691471
backpack	0.0687385
Thong	0.068654
earring	0.0684882
bra	0.0681994
Hood	0.0676325
veil	0.0673495
leotards	0.0670517
sticker	0.0670329
Afro	0.0669057
tarpaulin	0.0667453
Cape	0.0665895
Pantsuits	0.0660901
tassel	0.0659487
bunting	0.0654039
"nail polish"	0.0650185
haircut	0.0649015
Crescent	0.0648618
"bed sheet"	0.0647585
gown	0.0646347
tattoo	0.0645613
"paper bag"	0.0645453
hairpiece	0.0645225
sideburn	0.0643195
"ball gown"	0.0642444
livery	0.0642152
plaid	0.0640424
BOA	0.063782
pantyhose	0.0634121
pouch	0.0631362
girdle	0.0628743
"felt hat"	0.0624586
bracelet	0.0622642
choker	0.0621001
"rubber band"	0.0620818
toupee	0.0618806
"hot pants"	0.0616571
))
("Bandar Seri Begawan" (desc 1616.36) (sims
Bamako	0.159615
Kuching	0.152973
Basle	0.147582
"Egyptian capital"	0.136129
Rabat	0.134844
Ashkhabad	0.133184
Tashkent	0.128944
Almaty	0.125859
Ouagadougou	0.124265
"Malaysian capital"	0.120804
Muscat	0.119419
Alma-Ata	0.11921
Brisbane	0.117864
"Kuala Lumpur"	0.117052
Windhoek	0.116925
Gaborone	0.116903
"Brunei Darussalam"	0.115726
HANOI	0.114935
Doha	0.114769
Brunei	0.113731
MANAMA	0.111469
Ipoh	0.110784
Vladikavkaz	0.110639
Vientiane	0.11053
"St Petersburg"	0.108162
Fukuoka	0.106648
Valletta	0.106244
Filderstadt	0.103805
Riyadh	0.103796
"CHIANG MAI"	0.10187
BRATISLAVA	0.101548
Langkawi	0.101476
Eilat	0.100917
Lucerne	0.10073
Astana	0.100094
Libreville	0.099241
"San Salvador"	0.0991341
"ALMA ATA"	0.0975845
Chisinau	0.0970379
BLANTYRE	0.0968939
Linz	0.0966485
Jeddah	0.096527
Sapporo	0.0961782
Bombay	0.0955573
Hobart	0.0950752
Dushanbe	0.0949478
Riga	0.0944454
Utrecht	0.0928564
Tallinn	0.0928304
Vilnius	0.0927559
Lahti	0.0922639
Duesseldorf	0.0907142
Gelsenkirchen	0.0905345
Bishkek	0.0902259
Conakry	0.089912
Yerevan	0.0892054
Denpasar	0.0890014
"Nigerian capital"	0.0885176
Asuncion	0.0884474
Minsk	0.0876097
Essen	0.0858363
Ljubljana	0.0853337
Mbabane	0.0852222
MELBOURNE	0.0841897
Malmo	0.0840391
MAPUTO	0.0839731
Trondheim	0.0839556
Phuket	0.083461
Tbilisi	0.0822705
Davos	0.0817751
SANAA	0.0811982
Yokohama	0.0811229
Auckland	0.0811055
"Subic Bay"	0.0808597
ZAGREB	0.0803077
Bormio	0.0801449
Halle	0.0799576
"Key Biscayne"	0.0797733
Cartagena	0.0794495
PALERMO	0.0794083
Christchurch	0.0792114
Williamsport	0.0788436
Abidjan	0.0786933
Madras	0.0780963
Accra	0.0777813
Tripoli	0.0775431
Lome	0.0773171
Yogyakarta	0.0766034
"PETALING JAYA"	0.0753561
Kitzbuehel	0.0752469
Klagenfurt	0.0751886
Krasnoyarsk	0.0751586
MONTEVIDEO	0.0750078
Helsinki	0.0742415
"Ho Chi Minh City"	0.0741889
"Burkina Faso"	0.0741315
"Stockholm Open"	0.073929
"European Swimming Championships"	0.0738246
BUCHAREST	0.073623
Subic	0.073604
Rotterdam	0.0735672
BASEL	0.0735651
Dakar	0.0734529
Karachi	0.073254
Durban	0.0730623
BRASILIA	0.0729606
Superdome	0.0728048
Asmara	0.0721137
Pattaya	0.0714939
TUNIS	0.0712171
"Victoria Falls"	0.0712011
Osaka	0.0709778
Cairns	0.0707316
Innsbruck	0.0702905
"Hilton Head"	0.0701764
Cardiff	0.0700109
Sirte	0.0699952
Reykjavik	0.0699136
Cebu	0.069626
Hershey	0.0692064
Entebbe	0.0690091
Adelaide	0.0687969
Luanda	0.06846
Gothenburg	0.0683642
Bali	0.0683171
SOFIA	0.0678706
Durres	0.0677181
Baku	0.0674191
Oslo	0.0673717
"Banja Luka"	0.0673279
Pretoria	0.0672587
Copenhagen	0.0671564
Algiers	0.067026
"Guatemala City"	0.0663903
Suva	0.0663716
Makhachkala	0.0663336
Kigali	0.0662577
Santiago	0.0660684
BUDAPEST	0.0658465
Berne	0.0656619
Managua	0.0656143
Katmandu	0.0651242
Panmunjom	0.064756
Nagoya	0.0645239
Salzburg	0.0644175
Casablanca	0.0643949
Peshawar	0.0643042
Perth	0.0641172
"London Marathon"	0.0638847
Hannover	0.0635207
Hakuba	0.0632602
Lubumbashi	0.0631322
LISBON	0.0629378
"Quebec City"	0.0628962
Beidaihe	0.0628944
Dusseldorf	0.0626923
Kandahar	0.0626798
Taipei	0.0626768
Falun	0.0624946
"Abu Dhabi"	0.062259
Yaounde	0.0619782
Bissau	0.0618541
sanatorium	0.0617723
"La Paz"	0.0616674
Strasbourg	0.0616094
Kyoto	0.0612525
Lahore	0.0611705
Bangalore	0.060964
Eindhoven	0.0607222
"Victoria Park"	0.0606435
"World Weightlifting Championships"	0.0604905
Surabaya	0.0601433
Jalalabad	0.0601411
"Santo Domingo"	0.0599957
"Washington D.C."	0.0596669
Merida	0.0596137
Zurich	0.0595939
Karlsruhe	0.0594271
CARACAS	0.0593773
Maseru	0.0586948
Midrand	0.0582937
Winnipeg	0.0578534
Ghent	0.0576241
Dortmund	0.0574766
"Ulan Bator"	0.0574628
Jaipur	0.0573583
Hamburg	0.0571835
Quito	0.0570841
Hanover	0.0570441
"Volleyball Grand Prix"	0.0568661
Skopje	0.0566415
Bern	0.0563427
Bergen	0.0558912
Bogor	0.055502
Bangui	0.0554347
Plata	0.0551145
Brazzaville	0.0549718
Stuttgart	0.0549511
"Chiang Rai"	0.0548012
Lillehammer	0.0547194
))
(BANDERAS (desc 1650.43) (sims
"Winona Ryder"	0.101216
Gooding	0.0934862
"Antonio Banderas"	0.0919388
Yoakam	0.0870913
Tucci	0.086632
Branagh	0.0847742
Costner	0.0810627
Heyward	0.0808861
Benigni	0.0804736
Reichel	0.0774791
Keitel	0.0773575
Dench	0.0772048
Matthau	0.0762717
Almodovar	0.07627
Stiller	0.0745934
"Sean Connery"	0.0745897
Sheedy	0.0720832
Crowe	0.0718076
Frankenheimer	0.0715755
Eastwood	0.0711233
MAMET	0.0703022
Sayles	0.0680188
LaBute	0.0680174
Enis	0.0679647
Kidman	0.0661207
Sandler	0.0641114
Tsai	0.0639912
Tilberis	0.0637851
Midler	0.0635486
Mohr	0.0633941
Miyazaki	0.0633009
Hartley	0.0631947
Detmer	0.0629227
Paltrow	0.0627256
Klemperer	0.0626731
Berle	0.0626508
Hou	0.0620136
Galindo	0.0620014
Roberta	0.0614726
Streep	0.0610342
Schwarzenegger	0.0606198
"Jennifer Love Hewitt"	0.0605383
Applegate	0.0598397
"James Woods"	0.0598041
Shandling	0.0594734
Puente	0.0591725
"Anthony Hopkins"	0.0581488
Mortimer	0.058117
hodgson	0.0579172
Spacey	0.05777
"Bill Murray"	0.0575961
Leventhal	0.0572292
Trudeau	0.0571689
GERE	0.057153
Quintero	0.0567885
"Kirsten Dunst"	0.0567538
Epps	0.0567076
McKellen	0.0566802
Braugher	0.056456
Vidal	0.0564256
Travolta	0.0564103
Judd	0.0560027
Logue	0.0559103
Scorsese	0.0555541
Rosenblatt	0.0555182
Mehta	0.0551989
Boorman	0.0551597
Leetch	0.0550727
Stillman	0.0547382
Duchovny	0.0546658
Condit	0.0546031
swain	0.0544475
"John Cleese"	0.0543608
Segal	0.0543595
Affleck	0.0543484
Meares	0.0543215
Turturro	0.0541932
Gatling	0.05414
Kurosawa	0.0540894
Higgins	0.0537946
"Keanu Reeves"	0.0537394
Connery	0.0536631
Keaton	0.0532594
Spielberg	0.0531556
"Billy Crystal"	0.0530363
Dubus	0.0526557
"Albert Brooks"	0.052437
Hartman	0.0522675
White-McCarty	0.0522336
Leigh	0.0521872
Polgar	0.0521615
Redgrave	0.0519546
Dorsey	0.0518865
Deneuve	0.0513723
Rowling	0.0513348
Bertelli	0.0511929
Kohn	0.0511573
Zolak	0.0509547
"Wesley Snipes"	0.0507504
Puzo	0.0504035
Artest	0.0503849
"Tim Robbins"	0.0501731
Hepburn	0.0501728
"Tim Burton"	0.0500883
Paxon	0.049911
Schroder	0.0498353
Joplin	0.0498033
Finney	0.0496719
"Terrence Malick"	0.0496473
Beatty	0.0494508
"Heather Graham"	0.0494434
"Christian Slater"	0.0493502
Houdini	0.0493432
Flockhart	0.0493161
Olmsted	0.0491582
DeBerg	0.0491434
Fiennes	0.0491396
Cline	0.0491162
Gascoigne	0.0490161
Pfeiffer	0.0489883
"Ukari Figgs"	0.0488449
McMurtry	0.0487797
"Michael Douglas"	0.04871
"Sidney Poitier"	0.0486427
Griffith	0.048602
"Nora Ephron"	0.048516
Taymor	0.0484933
Heche	0.0484442
Pacino	0.0483228
Robeson	0.0482545
Alexie	0.0481952
Nolte	0.048098
"Liam Neeson"	0.048054
Carrey	0.0478081
"Steven Soderbergh"	0.047792
Syd	0.0476269
"Calvin Coolidge"	0.0475395
Titov	0.047483
Ryder	0.0474434
Ballard	0.0473926
"Sarah Jessica Parker"	0.047337
Masur	0.0472343
"Adam Sandler"	0.047071
Brendan	0.0470292
D'Alessandro	0.046942
Cliburn	0.0469245
Lucille	0.0468247
"Wes Craven"	0.0467735
Kubrick	0.0467544
Astaire	0.0467407
Phills	0.0465972
Grammer	0.0465863
Winkler	0.0465809
Kasyanov	0.0464349
Heston	0.0464098
Leopold	0.0462208
DiCaprio	0.0461947
"Neil LaBute"	0.0461863
Bening	0.0461186
Caray	0.0461113
Menuhin	0.0460826
"Frances McDormand"	0.0460506
"Stanley Kubrick"	0.0460295
Slatkin	0.0459792
"Kevin Costner"	0.0458513
Clooney	0.0456791
Missy	0.0455743
Clancy	0.0455599
"Charlize Theron"	0.0455208
Kovalev	0.0455196
Ruben	0.0454618
Earle	0.045459
Hoch	0.0454358
Kurth	0.0453739
Cusack	0.0452969
MALICK	0.0451639
Crichton	0.0449535
Coley	0.0449401
Redford	0.0447544
Daigle	0.0446431
Wahlberg	0.0446027
Lafleur	0.0445869
"Catherine Deneuve"	0.0444932
Mirer	0.0443934
"John Jr."	0.0443685
"Elizabeth Hurley"	0.0443581
Nabokov	0.0442764
Nesby	0.0442726
"Saul Bellow"	0.0442204
Whitacre	0.0442201
"Richard Gere"	0.0440276
"La Salle"	0.0439946
Farrellys	0.0439872
Boyle	0.04397
"Clint Eastwood"	0.0439118
Lehrer	0.043911
Marceau	0.0438977
"John Kennedy Jr."	0.0438593
Mullin	0.0438395
Reiner	0.0438068
))
(bandit (desc 22048.1) (sims
robber	0.225369
terrorist	0.189125
gunmen	0.183908
kidnapper	0.182427
rebel	0.169711
guerrilla	0.165609
gangster	0.162047
assailant	0.161843
militant	0.160335
attacker	0.153707
gang	0.15217
smuggler	0.149184
extremist	0.148334
"drug trafficker"	0.147678
militiamen	0.145521
criminal	0.139408
looter	0.13493
rustler	0.134521
thug	0.133749
thief	0.128589
Hijacker	0.128293
insurgent	0.128033
"drug dealer"	0.125007
"Abu Sayyaf"	0.124264
separatist	0.12352
intruder	0.121377
abductor	0.121206
poacher	0.120837
paramilitary	0.1204
vigilante	0.119864
gunman	0.118234
rioter	0.116189
trafficker	0.114608
policemen	0.113715
militia	0.113603
soldier	0.111916
hoodlum	0.106846
burglar	0.106505
guerilla	0.106444
tribesmen	0.105887
fighter	0.103481
hooligan	0.100581
commando	0.099189
marauder	0.0980318
mercenary	0.0964771
civilian	0.0964755
murderer	0.0955966
infiltrator	0.0948119
hostage-takers	0.0939698
"drug lord"	0.0939292
assassin	0.0938637
arsonist	0.0908496
troop	0.090302
Serbs	0.0902964
suspect	0.0896669
warlord	0.0886445
Killer	0.0880755
sniper	0.0875416
mugger	0.0874148
Rapist	0.0871542
settler	0.0871335
captor	0.0867141
neo-Nazis	0.0863627
hacker	0.0861516
fundamentalist	0.0853715
"security force"	0.0849167
deserter	0.0848364
Albanian	0.0847543
"police officer"	0.0846474
fugitive	0.0842078
demonstrator	0.0839988
villager	0.0830772
escapee	0.0817629
pirate	0.08156
bomber	0.0813162
Palczynski	0.0811573
"military man"	0.0810265
protester	0.0806296
counterfeiter	0.0804576
vandals	0.0801719
aggressor	0.0799855
perpetrator	0.0790738
Chechen	0.0790285
Hezbollah	0.0780314
"robbery suspect"	0.0773187
servicemen	0.077179
mob	0.0767328
"Liberation Tigers of Tamil Eelam"	0.0766846
NPA	0.0765731
spy	0.0765363
KLA	0.0762381
Interahamwe	0.0752935
"serial killer"	0.0752302
"federal agent"	0.0748731
alien	0.0747897
squatter	0.0747647
policeman	0.0744946
"Kosovo Liberation Army"	0.0741484
ETA	0.0740765
police	0.0738821
LTTE	0.0737998
secessionist	0.0737906
youth	0.0737635
dissident	0.0737024
radical	0.0732823
Klansmen	0.0732634
LRA	0.072934
"Kosovo Albanians"	0.0727204
launderers	0.0725489
raider	0.0719177
skinhead	0.0719043
peacekeeper	0.0717042
Chechens	0.0716035
speculator	0.0703034
lawbreaker	0.0699427
hostage	0.0698761
PKK	0.0691862
anarchist	0.0691832
miscreant	0.0690834
locust	0.0684532
extortionist	0.0679198
sympathizer	0.0678712
Somali	0.0678651
captive	0.0671032
crewmembers	0.0670302
"New People's Army"	0.0664767
outlaw	0.0659903
"North Koreans"	0.0657061
enemy	0.0656893
invader	0.0651175
Palestinian	0.0650449
foreigner	0.0647467
Muslim	0.0643848
snakehead	0.0643341
accomplice	0.0642402
army	0.0641755
troublemaker	0.064051
Taliban	0.0639536
OPM	0.063909
supremacist	0.0639034
Nazi	0.0637949
protestor	0.0635922
Iraqi	0.063484
peasant	0.0633306
pedophiles	0.0632839
"white man"	0.0626643
activist	0.0626555
faction	0.0621782
Kamajors	0.0621725
officer	0.0621331
Kurds	0.0620797
"army officer"	0.062027
"Armed Islamic Group"	0.0619399
"young man"	0.0618874
banditry	0.0618749
illegals	0.0618529
"prison guard"	0.0618128
trooper	0.0616162
mobster	0.06151
bodyguard	0.0613406
Serb	0.0612072
Mafia	0.0609233
agent	0.0606369
Stealers	0.0605657
"security guard"	0.060406
sailor	0.0603774
"Khmer Rouge"	0.0600966
"National Liberation Army"	0.0600633
"crew member"	0.0600333
UNITA	0.0599513
migrant	0.0598131
Ethiopian	0.0596617
combatant	0.0595417
mutineer	0.0593591
refugee	0.0591121
soliders	0.0589443
RUF	0.0589265
"secret police"	0.0588977
"car bomb"	0.0588453
"organized crime"	0.0588118
"Moro Islamic Liberation Front"	0.0587282
"war criminal"	0.0585063
immigrant	0.0583471
Rwandan	0.0581285
Lebanese	0.0581155
terrorism	0.0580725
firemen	0.0578389
Fishermen	0.0578355
Hamas	0.0577947
saboteur	0.0576609
nationalist	0.0573599
forger	0.0573381
"military personnel"	0.0573148
Laden	0.057309
henchmen	0.057007
Islamists	0.0569206
cult	0.0568773
warplanes	0.0564239
traitor	0.0563918
"Viet Cong"	0.0560076
))
(banditry (desc 4434.11) (sims
lawlessness	0.181151
rustling	0.153653
"drug trafficking"	0.14679
"armed robbery"	0.144708
smuggling	0.135739
looting	0.134655
poaching	0.125296
piracy	0.123547
gunrunning	0.1218
arson	0.121013
hooliganism	0.11967
vandalism	0.119574
insecurity	0.119455
"crime wave"	0.119271
abduction	0.118727
kidnapping	0.115924
terrorism	0.115613
extortion	0.114896
prostitution	0.110156
"drug trade"	0.10613
"organized crime"	0.103809
"child abuse"	0.102709
criminality	0.101546
trafficking	0.0986846
"drug abuse"	0.0982965
theft	0.0977722
robbery	0.0973137
sabotage	0.0951662
mugging	0.0945731
mutilation	0.0900166
deforestation	0.0896171
"drug traffic"	0.0894194
hijacking	0.0890922
separatism	0.0888159
extremism	0.0887207
unrest	0.0876611
anarchy	0.0874265
insurgency	0.0866636
"money laundering"	0.0861626
rape	0.0859955
racketeering	0.0834591
"water pollution"	0.0831592
sectarianism	0.0825843
"drug problem"	0.0823383
instability	0.0822354
desertification	0.0819295
"drug use"	0.0811473
pillaging	0.0803587
"tax evasion"	0.0800967
intimidation	0.0797973
Indiscipline	0.079483
harassment	0.0785441
malpractice	0.0780956
malfeasance	0.0775494
degradation	0.0773143
"election fraud"	0.0771874
rioting	0.0770969
illiteracy	0.0769811
burnings	0.0764189
"juvenile delinquency"	0.0760833
Rabies	0.0755222
"sexual assault"	0.0751088
graft	0.0748777
blackmail	0.0746827
"mass murder"	0.0746377
starvation	0.0738074
carjackings	0.073419
malnutrition	0.0732208
logging	0.0723916
homelessness	0.0716975
dumping	0.071603
"drug addiction"	0.071532
rinderpest	0.07092
"alcohol abuse"	0.0708997
Proliferation	0.0706461
burglary	0.0703826
unemployment	0.0702629
sodomy	0.0697235
warfare	0.0681903
bribe-taking	0.0679597
illegality	0.0674209
hunger	0.0667178
destabilization	0.0658754
strife	0.0657848
bribery	0.0657502
famine	0.0652046
cholera	0.0651813
brutality	0.0650276
bloodletting	0.0649062
terror	0.0649
bloodshed	0.0635593
"soil erosion"	0.06338
vote-buying	0.06325
Emigration	0.0631872
"infectious disease"	0.0631205
"contagious disease"	0.0630822
maiming	0.0629056
pandemic	0.0623444
repression	0.0622753
bandit	0.0618749
incursion	0.0613016
hostage-taking	0.0611254
nepotism	0.061085
HIV/AIDS	0.0609911
"air pollution"	0.0605339
poisoning	0.0604954
fundamentalism	0.0601737
mismanagement	0.0600537
splittism	0.0592482
rebellion	0.0590851
"substance abuse"	0.0590474
forgery	0.0590232
hostility	0.0587577
neo-Nazi	0.058739
secessionist	0.0587247
thievery	0.0587225
holdup	0.0587045
"crime rate"	0.0586861
"brain drain"	0.0586258
impunity	0.0580957
inequality	0.0580941
subversion	0.0579049
encroachment	0.0578957
incitement	0.0576246
dislocation	0.057589
Truancy	0.0574581
cleansing	0.0574195
"foot-and-mouth disease"	0.0571947
influence-peddling	0.0571387
felling	0.0568329
laundering	0.0568035
"forest fire"	0.0567801
insurrection	0.0565517
irregularity	0.0562039
displacement	0.0560277
"black market"	0.0556353
embezzlement	0.0555126
"drive-by shooting"	0.0553775
mayhem	0.0550812
poacher	0.055057
divisiveness	0.0547419
menace	0.0547287
aggression	0.0546961
factionalism	0.0544377
"bank failure"	0.054432
leprosy	0.0544143
infestation	0.0543783
IDD	0.0542795
infighting	0.054264
provocation	0.0541826
in-fighting	0.054151
joblessness	0.0538736
"short selling"	0.0538322
infiltration	0.0537907
exploitation	0.0537216
patrolmen	0.0536351
cronyism	0.0535233
plagiarism	0.0534623
break-in	0.0534468
"crop failure"	0.0533913
infringement	0.0532519
congestion	0.0528907
cannibalism	0.0528135
gunbattles	0.0526584
barbarism	0.0526264
anti-Semitism	0.0525253
malaria	0.052235
shoplifting	0.0521199
duplication	0.0520919
"power failure"	0.0520131
trachoma	0.0519849
"insider trading"	0.0519013
inefficiency	0.0518066
"sexual activity"	0.0516998
espionage	0.0516632
epidemic	0.0515627
scourge	0.0514399
"animal disease"	0.0513069
disturbance	0.0512789
C-section	0.051182
blight	0.0511136
persecution	0.0511009
"water hyacinth"	0.0509747
ranching	0.0509469
"cost of living"	0.050847
shelling	0.0508261
misconduct	0.0504751
"sexual harassment"	0.050292
"subversive activity"	0.0501661
"civil disobedience"	0.0501207
contamination	0.0500893
impropriety	0.0499851
disunity	0.0498466
intolerance	0.0497458
intrusion	0.0496222
"Export Processing Zones"	0.0495446
Alcoholism	0.0494757
contraband	0.0493782
erosion	0.0493642
militancy	0.049242
))
(bandleader (desc 2127.56) (sims
percussionist	0.197015
keyboardist	0.151937
arranger	0.145826
saxophonist	0.13693
accompanist	0.120426
bassist	0.116072
songwriter	0.113008
vocalist	0.112719
"piano player"	0.110287
pianist	0.105461
portraitist	0.104036
violinist	0.0978916
"guitar player"	0.0973947
instrumentalist	0.0915931
drummer	0.0906462
organist	0.0898587
guitarist	0.0897974
trumpeter	0.089004
lyricist	0.0853931
conductor	0.0807027
musicologist	0.0780804
flutist	0.0718301
sextet	0.0711931
"Carlos Santana"	0.0695579
"music teacher"	0.0683052
clarinetist	0.0643945
bluesman	0.0634475
"press agent"	0.0622231
crooner	0.0607596
"disc jockey"	0.0605444
librettist	0.0600481
"film producer"	0.0563619
chanteuse	0.0553439
soloist	0.0534236
"Wynton Marsalis"	0.052365
virtuoso	0.0513937
sobriquet	0.0513481
"Tito Puente"	0.0510707
winemaker	0.0506416
decorator	0.0497053
"Lothar Matthaeus"	0.0493705
animator	0.0489149
"front man"	0.0488723
"long-distance runner"	0.0488018
"drama critic"	0.0487712
"Wild Man"	0.0483922
"civil rights leader"	0.0475679
dramatist	0.0475261
"jazz musician"	0.0474473
horseman	0.0473476
"master of ceremonies"	0.0473386
major-leaguers	0.0468019
yachtsman	0.0462935
mambo	0.0460344
"Edward R. Murrow"	0.0452191
aficionado	0.045167
"real estate broker"	0.0446239
emulator	0.0443132
"test-tube baby"	0.0442
"rhythm section"	0.0440303
philanthropist	0.0439223
"fashion designer"	0.0437723
doyenne	0.0434763
"B.B King"	0.0434407
sportswriter	0.043426
"stage director"	0.0433293
alderman	0.0428906
"Darrell Green"	0.0428782
hostess	0.0427919
meccas	0.0427591
spymaster	0.0426023
stylings	0.0424386
cellist	0.0423259
impresario	0.0414023
"Andre Previn"	0.0410877
"Herbie Hancock"	0.0409093
matron	0.0408471
"newspaper editor"	0.0407996
"Robert Johnson"	0.0407126
"good person"	0.0404535
Grahame	0.0403115
"political boss"	0.0401933
"Robert Shaw"	0.040172
))
(bandmates (desc 1103.56) (sims
shipmate	0.12813
crewmates	0.118487
cellmate	0.10864
housemates	0.0876996
co-worker	0.0763634
"law partner"	0.0731423
chum	0.0723434
"fellow worker"	0.0679369
Dumas	0.0665107
Klansmen	0.0664741
schoolmate	0.0656431
mailman	0.0642873
co-defendants	0.0628587
stepbrother	0.0628111
housemate	0.0588542
"Boutros Boutros Ghali"	0.0583748
great-grandchildren	0.0580401
cohort	0.0580206
underling	0.0562035
"partner in crime"	0.0549529
"sparring partner"	0.0540721
fiance	0.053668
CAMILLA	0.0529664
"Little Dog"	0.0526645
"fellow traveler"	0.0524877
"house guest"	0.0521739
"foster child"	0.0514858
starts.	0.0513314
"Camilla Parker Bowles"	0.0511893
"No. @s"	0.0508413
sub-projects	0.0506249
guardsmen	0.0503262
paramour	0.0503251
"sphere of influence"	0.0497055
seasons.	0.0496582
quarterfinalists	0.0495442
team.	0.0494242
linemates	0.0489037
"British Opens"	0.048878
"Parker Bowles"	0.0487635
Hakeem	0.0485254
"church member"	0.047985
personae	0.0478093
feistiness	0.0470262
co-accused	0.0469652
minion	0.0468718
consort	0.0460883
apparatchiks	0.0459968
soulmate	0.0459502
"Richard Cheney"	0.0457523
"Tony Bennett"	0.0453394
henchmen	0.0449988
"Paul McCartney"	0.0449722
innings.	0.0447349
Fay	0.0445772
Knapp	0.044505
co-anchor	0.0444514
"Baby Bells"	0.0443703
"major league season"	0.0443268
"David Graham"	0.0443016
"Gold Gloves"	0.0440091
Roberson	0.0440002
Abe	0.0437535
"Ray Charles"	0.0436197
"Lamberto Dini"	0.0434462
Kabariti	0.0432288
"Pro Bowls"	0.0428332
"Texas longhorn"	0.0427096
Garry	0.0425147
"sled dog"	0.0421396
"Joseph Estrada"	0.0419737
major-leaguers	0.0418995
"art student"	0.0418867
daughter-in-law	0.0417549
"first CD"	0.0416405
"little finger"	0.0414873
Schultz	0.0413353
Hsia	0.0413284
takeaways	0.0413275
A@@@s	0.0412041
"set point"	0.0410585
"Sarah Ferguson"	0.0409932
"Dos Santos"	0.0406891
"first match point"	0.0406808
"Final Fours"	0.0406168
Kristin	0.0405955
"Steve Garvey"	0.0404806
"Deve Gowda"	0.0404143
Beatle	0.040299
interviewee	0.0402143
USSR	0.04021
))
(Bandung (desc 3179.95) (sims
Denpasar	0.317479
Bogor	0.273599
Medan	0.261824
Surabaya	0.239213
Yogyakarta	0.18328
Batam	0.150924
"East Java"	0.146356
Bali	0.133229
Lucknow	0.125964
"West Java"	0.119748
Kupang	0.117346
Ndola	0.107177
Shiraz	0.104809
Lampung	0.104535
Bengkulu	0.102338
Mbabane	0.0950168
Jakarta	0.0945027
Bulawayo	0.0910999
Palembang	0.0903043
Manado	0.0882643
Phuket	0.0870774
Ambon	0.0853891
Bangalore	0.0851449
Windhoek	0.0843436
"Central Java"	0.0826044
Hyderabad	0.0821846
Jayapura	0.0820386
Cebu	0.081592
Baoding	0.0795902
Xining	0.0793137
Kuito	0.0772827
Puebla	0.0772442
Bishkek	0.0764463
Davao	0.0757109
Kitwe	0.0756864
Changsha	0.075491
Cochabamba	0.0751432
Ashkhabad	0.0748541
Chisinau	0.0740435
Sulawesi	0.0740271
Calcutta	0.0732399
"Irian Jaya"	0.0728275
PATNA	0.0722686
Astana	0.0717984
Gaborone	0.0714807
Shijiazhuang	0.0709458
Srinagar	0.0707353
Hohhot	0.0702331
Vilnius	0.0693681
Nabatiyeh	0.0692062
Chennai	0.0691572
Hefei	0.068682
Charikar	0.068599
Ibadan	0.0685045
CHANGCHUN	0.0684763
Guiyang	0.0681959
Bamako	0.0681712
LISBON	0.06762
Anshan	0.0673816
Aswan	0.0672999
Zhengzhou	0.0669867
Vladikavkaz	0.0669336
KIEV	0.0667259
Pattaya	0.0663982
Kunming	0.0657353
Mashhad	0.0657074
Quetta	0.0654098
Baidoa	0.065386
Cyberjaya	0.0652601
Osaka	0.0642257
Dili	0.0640861
Yinchuan	0.0640532
Qom	0.0639438
Langkawi	0.0632639
Podgorica	0.0627465
Jinan	0.0626646
MANAMA	0.0625229
Doha	0.0619412
Rawalpindi	0.0616688
Isfahan	0.0613994
Minsk	0.0613721
Kyoto	0.0612172
Peshawar	0.0610249
Wuxi	0.0608081
Harbin	0.0606514
Jolo	0.0603346
Sidon	0.0597625
Izmir	0.0594843
CHENGDU	0.0588924
Taloqan	0.0588792
el-Sheikh	0.0587954
Antalya	0.0585652
Bursa	0.0584284
Merida	0.0583419
Nanchang	0.058273
Lahore	0.0580678
Taiyuan	0.0579627
Basle	0.0579498
Shali	0.0575928
Moshi	0.0575651
Dushanbe	0.0575079
Jalalabad	0.0567676
Gnjilane	0.0566951
Lanzhou	0.056648
Adana	0.0565672
Yekaterinburg	0.0565648
Asuncion	0.0565388
Accra	0.0564516
Kabwe	0.0563641
Aceh	0.0562724
Karachi	0.055917
SOFIA	0.0557356
Tbilisi	0.0557206
Multan	0.0557153
Maseru	0.055585
BLANTYRE	0.0555637
Pusan	0.0555465
Mandalay	0.0554738
Kandy	0.0553937
Kisumu	0.0553206
"Shenzhen City"	0.0553064
Labuan	0.0551909
Baotou	0.0549424
Abidjan	0.0546501
Golcuk	0.0545837
Malacca	0.0544978
Fuzhou	0.0544243
Changzhou	0.0541596
Huambo	0.0539745
Cartagena	0.0539356
regency	0.0538241
Wenzhou	0.0537621
"Banja Luka"	0.0536897
Java	0.053643
"Indian capital"	0.0536393
Leskovac	0.0533866
Turin	0.0532719
Midrand	0.0532132
"Ulan Bator"	0.0532009
Madras	0.0530785
Medellin	0.0529832
Urus-Martan	0.0529805
Liuzhou	0.0529081
Haikou	0.0526403
Nanning	0.0525418
Moroni	0.0525099
Yaounde	0.0525047
Subic	0.0521453
Asmara	0.0519624
Algiers	0.0519089
Kigali	0.0518554
Monrovia	0.0515548
"Pulau Pinang"	0.0512129
Dongguan	0.0511591
Lubumbashi	0.0511027
Florence	0.0507942
Kraljevo	0.05068
Muscat	0.0505496
YANGON	0.0505045
Gudermes	0.0503482
Krakow	0.0502726
Urumqi	0.050014
Qufu	0.0497038
Prijedor	0.0495908
Vientiane	0.0494367
Bujumbura	0.0487497
Maluku	0.0487015
Lianyungang	0.0485695
Tashkent	0.0485
Shashi	0.0482813
Vedeno	0.0482373
Leipzig	0.0478972
Tripoli	0.047862
Pretoria	0.0478491
Duesseldorf	0.0477744
"Joko Suprianto"	0.0477558
Winnipeg	0.0477327
Cotabato	0.0475238
Maastricht	0.0472903
Bangui	0.0472376
Moncton	0.0471183
"Ho Chi Minh City"	0.0470096
Bombay	0.0469937
Chittagong	0.046964
Catania	0.0469626
Brisbane	0.0469294
Beira	0.0467723
Wellington	0.0466468
Weifang	0.0465637
"The Hague"	0.0462509
NIS	0.0462136
Guayaquil	0.046206
Livingstone	0.0455104
Tapachula	0.0453857
Bamiyan	0.0451868
Riyadh	0.0451769
Izmit	0.0451652
PALERMO	0.0451427
Casablanca	0.0451094
Tijuana	0.0447768
))
(bandwagon (desc 12692.2) (sims
juggernaut	0.068704
craze	0.0565371
soapbox	0.0563072
"Straight Talk Express"	0.0521566
mania	0.0506455
coattail	0.0492607
trampoline	0.048039
"school bus"	0.047162
bike	0.0459969
"freight train"	0.0443198
"subway train"	0.042134
wagon	0.0417595
boomlet	0.0413899
treadmill	0.0411116
))
(bandwidth (desc 12514.8) (sims
Manpower	0.111527
"storage space"	0.103339
broadband	0.102209
horsepower	0.0993932
liquidity	0.0947707
connectivity	0.0902466
capacity	0.0896261
DSL	0.0846852
access	0.0822676
router	0.0812828
"natural ability"	0.0797146
"phone service"	0.0793622
"phone line"	0.078676
resource	0.0782327
hardware	0.0767564
capability	0.0767517
electricity	0.0752746
transmission	0.0748071
"telephone service"	0.0733823
modem	0.0729436
networking	0.0717969
"free time"	0.0716915
infrastructure	0.0716165
software	0.0715492
oomph	0.0714184
storage	0.0714101
postage	0.0713206
"electrical power"	0.0703374
energy	0.070329
"telephone line"	0.0700883
accessibility	0.0692055
"information service"	0.0689741
salinity	0.0687737
mobility	0.0684265
ISDN	0.0682144
e-business	0.0680323
flexibility	0.0679016
frequency	0.0677772
reliability	0.067199
programming	0.0671674
"working capital"	0.0669925
ADSL	0.0667475
moisture	0.0667055
voltage	0.0665824
convenience	0.0660035
telephony	0.0655248
firepower	0.0654215
server	0.0654147
"office space"	0.0653253
expertise	0.0652156
traffic	0.0650323
input	0.0648886
multimedia	0.0640053
funding	0.063482
"amount of time"	0.0632928
hand-holding	0.063231
"oil production"	0.0630622
"communications service"	0.0630047
documentation	0.062238
communication	0.0621447
audio	0.0621159
usage	0.0620934
inventory	0.0619888
congestion	0.0619294
"heating oil"	0.0618717
"electric power"	0.0616232
Encryption	0.0615655
availability	0.0615108
Leeway	0.0613721
potentiality	0.0608166
parking	0.0606469
mileage	0.0602972
airplay	0.0597638
stamina	0.0597518
know-how	0.0593759
"foreign exchange"	0.0593539
"memory chip"	0.0593259
computing	0.0592249
"water supply"	0.0592085
peripheral	0.059198
"personal computer"	0.0591895
airtime	0.0589453
functionality	0.0588161
telecommunication	0.0585783
"market share"	0.0585388
CDMA	0.0584143
nutrient	0.0582
newsprint	0.0581451
"fiber optics"	0.0581205
e-commerce	0.05804
"elbow room"	0.0580364
Privacy	0.0578025
oxygen	0.0577712
automation	0.0575953
"data communication"	0.0572945
"customer service"	0.0571073
torque	0.0570546
hookup	0.0570525
"software product"	0.0570354
filtering	0.057024
density	0.0569436
efficiency	0.0567877
ventilation	0.0566782
wireless	0.0563507
ridership	0.0563225
headroom	0.056309
productivity	0.056195
bottleneck	0.0561153
provider	0.0558689
"raw material"	0.0558052
password	0.0557265
"consumer credit"	0.0556932
Calcium	0.0556246
"skilled worker"	0.0555635
"time off"	0.0553368
"economies of scale"	0.0550995
PC	0.0550838
"labor cost"	0.0549284
diversification	0.0546406
interface	0.0544519
"amount of money"	0.0544229
homework	0.054341
financing	0.0542972
subscriber	0.0542481
"labor force"	0.0540655
wattage	0.0539736
database	0.0537676
distribution	0.0535511
explosiveness	0.0533865
adapter	0.0531268
fertilizer	0.0531096
GSM	0.0530776
merchandise	0.053074
nourishment	0.0530681
connector	0.0529693
legroom	0.0528725
workload	0.0528445
wiring	0.0526663
"breathing room"	0.0524565
"job security"	0.0524398
leverage	0.0523646
"foot traffic"	0.0523236
punctuality	0.0522945
long-distance	0.0522746
backbone	0.0521665
processor	0.0518165
maneuverability	0.0517088
browser	0.051692
switching	0.0516605
transportation	0.0516354
quantity	0.0516321
variability	0.0516126
freight	0.051536
throughput	0.051534
"operating cost"	0.0513883
paperwork	0.0513757
"optical fiber"	0.0513219
yardage	0.051211
"telephone network"	0.0511043
cable	0.0509145
testosterone	0.0509068
Openness	0.0507891
knowledge	0.0506286
"safety feature"	0.050515
plumbing	0.0504971
penetration	0.0504737
"drinking water"	0.0504356
compression	0.0503597
innovation	0.0503373
"natural resource"	0.0502592
rebate	0.0501033
readership	0.0499027
"cellular phone"	0.049864
"leisure time"	0.0498595
"natural gas"	0.0497536
directory	0.0497266
Internet@	0.0496271
utilization	0.0494891
profitability	0.0494755
microprocessor	0.0494711
"electronic device"	0.0493346
homepage	0.0492766
iodine	0.0492288
saving	0.0492219
insulin	0.049093
"medical care"	0.0490784
"market penetration"	0.0490683
Entertainment	0.0489967
corroboration	0.0489657
lumber	0.0488201
surfing	0.0487397
"data entry"	0.0487254
"air travel"	0.0486854
velocity	0.048668
WAP	0.0486667
"surface area"	0.0485618
heft	0.0485059
"labor pool"	0.0484339
patience	0.0483594
customization	0.048269
))
(bane (desc 6712.05) (sims
lifeblood	0.0533791
copout	0.0488616
hallmark	0.0464681
irritant	0.044654
detriment	0.0431286
"white elephant"	0.0428116
stepchild	0.0426829
mainstay	0.0410188
anathema	0.0410139
"pain in the neck"	0.0410017
"sum total"	0.0400607
"first four years"	0.0400228
))
(Banesto (desc 2909.64) (sims
"Mercatone Uno"	0.274678
Festina	0.265339
Mapei	0.235487
Polti	0.218435
Cofidis	0.216981
TVM	0.198724
"Michele Bartoli"	0.167339
Jeux	0.161281
"Pavel Tonkov"	0.148899
"Laurent Jalabert"	0.141331
"Subaru Impreza"	0.11921
Telekom	0.118453
Jalabert	0.115882
"Erik Zabel"	0.112793
"Tom Steels"	0.10513
Olano	0.102364
"Alex Zulle"	0.0997153
"Mario Cipollini"	0.0996912
Gan	0.0912573
Aprilia	0.0856368
Lotto	0.0855208
"Johan Museeuw"	0.0848921
"Abraham Olano"	0.0843968
McLaren-Mercedes	0.082051
"Stuart O'Grady"	0.0807738
Zuelle	0.0755166
"Francesco Casagrande"	0.074918
"Lance Armstrong"	0.0739421
Zabel	0.0726597
"Miguel Indurain"	0.0723136
"Bernard Barmasai"	0.0718078
"Marco Pantani"	0.0715643
"Sonia O'Sullivan"	0.065044
"Alex Zuelle"	0.0628786
"Paul Tergat"	0.0627238
"Richard Burns"	0.0623703
Ducati	0.0622892
"Gabriela Szabo"	0.0620795
"Bjarte Engen Vik"	0.056814
"Carlos Sainz"	0.056464
Ullrich	0.0559567
McLaren	0.0559508
"Gianni Romme"	0.0555181
Subaru	0.05547
"U.S. Postal Service"	0.0552321
"Didier Auriol"	0.0541076
Maxi	0.0528363
"Tegla Loroupe"	0.0524014
dressage	0.0523677
"Frenchman Laurent Jalabert"	0.0517815
Boardman	0.0514881
"Chris Boardman"	0.0514425
Ferrari	0.051372
Mitsubishi	0.0510963
"Hendrick Motorsports"	0.0505242
"Laurent Brochard"	0.0478203
Nippon	0.0474824
"Laurent Dufaux"	0.0463218
"Kim Batten"	0.0459179
"Claudia Pechstein"	0.0450987
"Max Biaggi"	0.0444479
"Kinder Bologna"	0.0442011
"Jeremy Wotherspoon"	0.0440121
"El Pais"	0.0436823
"Rintje Ritsma"	0.043258
Flamengo	0.0422722
"Colin McRae"	0.0420047
"Richard Virenque"	0.0415743
Forsythe	0.0415008
"Haile Gebrselassie"	0.0413558
"Tommi Makinen"	0.0412673
CAA	0.0410009
luge	0.0408456
"six to eight"	0.0407492
Yamaha	0.0406299
"Young America"	0.0404101
"El Mundo"	0.0402451
"over six"	0.0400249
))
(Banff (desc 1255.25) (sims
Taba	0.0834791
Larnaca	0.0823294
Wildwood	0.0785517
"Victoria Falls"	0.0779359
Chamonix	0.0766792
Ensenada	0.0748026
Sochi	0.0733819
Eschede	0.0687932
Sihanoukville	0.0671974
"Puerto Vallarta"	0.066732
Beidaihe	0.0666732
este	0.0645283
Cavalese	0.0617886
Sipadan	0.061381
Nago	0.061052
el-Sheikh	0.0599196
Acapulco	0.0596902
Aqaba	0.0585625
"Sun Valley"	0.0579634
Bazar	0.0576165
Plata	0.0575583
Eilat	0.0572273
Pattaya	0.0570121
Mayberry	0.055268
Aspen	0.0552212
Antalya	0.0548935
Dubrovnik	0.0538483
Kabwe	0.0529871
Blackpool	0.0524272
"Myrtle Beach"	0.0523787
Sequoia	0.0495999
Lhokseumawe	0.0485774
Kennebunkport	0.0480683
Paranthan	0.0479659
"Montego Bay"	0.0471137
"SIERRA BLANCA"	0.046236
Aswan	0.0460723
Hillsboro	0.0452761
Decani	0.0451773
"Coral Gables"	0.0451376
Breckenridge	0.0447922
Woburn	0.0443912
Monterey	0.0443116
Zakopane	0.0442403
Huangshan	0.0441473
Libby	0.0439738
Podujevo	0.0430511
"White Plains"	0.0428957
Mankulam	0.0422385
CAMILLA	0.0417615
Prijedor	0.0416858
"Gary Roberts"	0.0414886
Haicheng	0.0412916
Kismaio	0.0409999
))
(bang (desc 17237.4) (sims
whimper	0.0949612
thump	0.0913013
thud	0.0908877
banging	0.0695736
roar	0.0689887
bump	0.0613224
squeak	0.0604039
rumble	0.0566573
hair	0.0557943
buzz	0.0528014
beep	0.0502357
jolt	0.0502003
"breathing room"	0.0501784
noise	0.04999
oomph	0.0493069
"black eye"	0.0487829
explosion	0.0486594
hairdo	0.0484613
giggle	0.048408
kiss	0.0475528
regularity	0.0472303
"Big Bang"	0.0471085
gunshot	0.0467406
whine	0.0462688
wail	0.0454246
goatee	0.0453005
grin	0.044422
lump	0.0441742
bruise	0.0439286
scrape	0.0436934
static	0.0426731
Beard	0.0424666
"margin call"	0.0424332
"breathing space"	0.0421977
mane	0.0421929
birdie	0.0417212
murmur	0.0416392
bombshell	0.0413883
"exclamation point"	0.041244
upside	0.0408537
synergy	0.0405103
sigh	0.04048
vengeance	0.0404298
pounding	0.0403237
finger	0.0402987
applause	0.0402431
fanfare	0.0402157
chorus	0.0400072
))
(Bangalore (desc 4713.89) (sims
Chennai	0.317944
Madras	0.269357
Hyderabad	0.254269
Calcutta	0.220874
PATNA	0.21391
Lucknow	0.2124
Jaipur	0.197065
Bombay	0.178499
Delhi	0.163909
Srinagar	0.135605
Karachi	0.132585
Mumbai	0.131721
Chisinau	0.122581
Cebu	0.11807
Medellin	0.117535
Bamako	0.11711
Peshawar	0.114472
Ashkhabad	0.114331
Quetta	0.113793
Astana	0.112084
Dushanbe	0.111745
Taloqan	0.110896
Vladikavkaz	0.109471
Najaf	0.108389
Davao	0.106591
Yerevan	0.105661
Ndola	0.102335
Jalalabad	0.100891
Cartagena	0.100666
"New Delhi"	0.100281
"Banja Luka"	0.099638
Podgorica	0.0996146
Aswan	0.0972428
Mbabane	0.0967041
MANAMA	0.0959032
Kandy	0.0952283
Christchurch	0.0946049
Kuching	0.0924948
Kupang	0.0920565
Shiraz	0.091277
Oaxaca	0.0910979
Manado	0.0909394
Bishkek	0.0908451
Baotou	0.0906835
Entebbe	0.0901249
Beira	0.0899065
Guiyang	0.0894435
Kuito	0.089428
Antalya	0.0892927
Almaty	0.0891514
TEGUCIGALPA	0.0873265
Jayapura	0.0872933
"CHIANG MAI"	0.0872632
Ibadan	0.0869784
Muscat	0.0869572
Sidon	0.0868605
Yogyakarta	0.0866521
Jeddah	0.0865659
Bandung	0.0851449
Weifang	0.0845373
Vilnius	0.0842684
Qom	0.0841487
Lahore	0.083994
Changsha	0.0834034
Brisbane	0.0833793
Gaborone	0.0832694
Medan	0.0832126
Isfahan	0.0831469
Abidjan	0.0825986
Surabaya	0.0825822
Mombasa	0.0825533
Moroni	0.0822801
Asuncion	0.0822774
Vientiane	0.0822549
Juba	0.0821881
Quanzhou	0.0820929
Asmara	0.0815521
Tashkent	0.0815133
Tbilisi	0.0813262
Rabat	0.0812389
Murmansk	0.0810308
Charikar	0.0805314
Maseru	0.0798771
Minsk	0.0798613
Urumqi	0.0797623
Baalbek	0.0797134
Krasnoyarsk	0.079307
Kandahar	0.0789649
DHAKA	0.0789374
Ljubljana	0.0788772
Baoding	0.0787501
Windhoek	0.0784995
Tripoli	0.0784581
Yinchuan	0.0782697
Guadalajara	0.0781369
Zamboanga	0.0777427
Nagoya	0.0777082
Catania	0.0774762
Dakar	0.0774678
"Santo Domingo"	0.0774547
Denpasar	0.0773575
CHANGCHUN	0.0772388
Liuzhou	0.0771372
Lanzhou	0.0770038
Luxor	0.0769449
Accra	0.0768763
Bengkulu	0.0768543
Haikou	0.0768276
Phuket	0.0768228
"San Salvador"	0.0768086
Pattaya	0.0767018
Lubumbashi	0.0765375
Nanning	0.0763358
Skopje	0.0760903
Kunming	0.0760406
Zhangzhou	0.0760257
Kigali	0.0756487
Nanchang	0.0754396
"La Paz"	0.075022
Fuzhou	0.0748779
Huambo	0.0748313
Ensenada	0.0747364
Wenzhou	0.0746778
SOFIA	0.074365
Luoyang	0.0735777
Merida	0.0734057
Bloomington	0.0733653
Novosibirsk	0.0732267
Kisumu	0.0731367
Midrand	0.0730997
CHENGDU	0.0729719
Hefei	0.0727214
Riyadh	0.0725442
Hohhot	0.0724811
Bulawayo	0.0720183
Chengde	0.0720173
Ur	0.0719929
Honiara	0.0718635
Toluca	0.0716803
Dongguan	0.0716389
Puebla	0.071614
Sevastopol	0.0715317
Lome	0.0714736
Dili	0.0712219
Haifa	0.071142
"Port Harcourt"	0.0709334
Ambon	0.0706535
Datong	0.0705371
Acapulco	0.0703757
Xuzhou	0.0703512
Shijiazhuang	0.0702386
"Abu Dhabi"	0.0701548
Gudermes	0.0701022
Libreville	0.0698882
NANJING	0.0698161
Uvira	0.0697503
Zhengzhou	0.0695406
Durres	0.0694154
Aqaba	0.0693333
Algiers	0.0693261
COLOMBO	0.0692812
Anshan	0.069209
Naples	0.0690745
"Nuevo Laredo"	0.0690716
Guayaquil	0.0689834
Alexandria	0.0689533
Kismayu	0.0688477
Duesseldorf	0.0688462
Salvador	0.0688389
NIS	0.0687705
Valletta	0.0686318
Saida	0.0685982
BLANTYRE	0.068571
"Uttar Pradesh"	0.0685078
Bujumbura	0.0683811
Weimar	0.068239
Mazar-i-Sharif	0.068226
Reston	0.068186
Suva	0.0681426
Tijuana	0.0678859
Luanda	0.0677392
Kathmandu	0.067701
Moshi	0.0675829
Jakarta	0.0675426
Nago	0.0675286
Bangui	0.0674801
Xining	0.0673505
Osaka	0.067266
Bamiyan	0.0672547
Cochabamba	0.0671967
Jiujiang	0.067159
Durban	0.0670934
Conakry	0.0669149
Harbin	0.0668921
BUCHAREST	0.0668347
Abuja	0.0666523
Herat	0.0665454
Ashkelon	0.0665152
Wuhan	0.0664812
Krakow	0.0658229
))
(banger (desc 1682.6) (sims
colander	0.0601538
chap	0.059762
"French toast"	0.0595567
stinker	0.0576833
bloke	0.0575258
punchline	0.0570327
smooch	0.0553134
bruiser	0.0530235
battler	0.0527439
grits	0.0524021
busboy	0.0523101
"clean slate"	0.0508462
brawler	0.0506689
Granik	0.0502814
fella	0.0499541
puncher	0.048649
"pork tenderloin"	0.0482496
"Little Dog"	0.0481316
freebie	0.0475723
lashing	0.0473577
"pain in the neck"	0.0463306
"altar boy"	0.0462929
goon	0.0462602
"Bengal tiger"	0.0455521
Momma	0.0453045
baserunner	0.0452126
"tax change"	0.045133
first-rounder	0.0450935
"big leaguer"	0.0449622
"hockey coach"	0.0440377
DiMaio	0.0433401
stunner	0.0430117
"good person"	0.0426737
"William Shatner"	0.0425647
"blind man"	0.041876
Intimidator	0.0416567
humanist	0.0405944
Chevys	0.040206
hyper	0.0400078
))
(banging (desc 5720.13) (sims
pounding	0.112587
knocking	0.092922
popping	0.0918676
hammering	0.0678459
yelling	0.0631966
tapping	0.0629852
horseplay	0.0587535
ticking	0.0570914
rubbing	0.0535167
"high frequency"	0.053191
shouting	0.053169
sucking	0.0529421
sobbing	0.0518844
drumming	0.050708
gunshot	0.0505385
whistling	0.0483363
clatter	0.047948
surfing	0.0479011
lapping	0.0456484
commotion	0.045386
idling	0.0453566
"jumping up and down"	0.0450841
wail	0.0441272
"falling off"	0.043919
Hung	0.0438998
condensation	0.0425921
digging	0.0421352
drumbeat	0.0419577
dragnet	0.0417535
piling	0.0417348
clapping	0.0409669
chipping	0.0409625
))
(Bangkok (desc 52427.8) (sims
"Kuala Lumpur"	0.258166
Manila	0.250012
SEOUL	0.235667
Jakarta	0.234281
HANOI	0.21824
"New Delhi"	0.217831
CAIRO	0.21616
BEIJING	0.209211
Tokyo	0.207623
DHAKA	0.206789
"Phnom Penh"	0.196605
Amman	0.190697
HARARE	0.189239
Nairobi	0.189192
JOHANNESBURG	0.188666
COLOMBO	0.187032
"Addis Ababa"	0.185516
Kathmandu	0.18283
Istanbul	0.180523
Geneva	0.179917
Tehran	0.176387
Lusaka	0.17623
"Mexico City"	0.176137
BRUSSELS	0.174786
Islamabad	0.172515
KAMPALA	0.171653
BUCHAREST	0.170418
LONDON	0.17026
Singapore	0.168844
Rome	0.168842
Moscow	0.168767
YANGON	0.168663
"Buenos Aires"	0.167627
Beirut	0.167052
Shanghai	0.166951
Paris	0.166674
BOGOTA	0.165373
Luanda	0.165188
Vienna	0.165143
Havana	0.164823
Prague	0.16362
BUDAPEST	0.163504
LISBON	0.161778
"Rio de Janeiro"	0.160449
Algiers	0.159392
Santiago	0.159141
ANKARA	0.15778
CARACAS	0.157334
SOFIA	0.156805
KIEV	0.156802
Taipei	0.156434
Riyadh	0.155663
WARSAW	0.155349
"Ho Chi Minh City"	0.153091
Kunming	0.151764
Sydney	0.150401
ATHENS	0.14985
STOCKHOLM	0.149762
Madrid	0.148778
TIRANA	0.147567
Berlin	0.147541
Helsinki	0.144954
"Dar es Salaam"	0.144676
Tripoli	0.143115
"Hong Kong"	0.142809
Lagos	0.141949
MAPUTO	0.140465
PYONGYANG	0.140184
ZAGREB	0.139387
Lima	0.139249
Guangzhou	0.139018
"Tel Aviv"	0.138794
Khartoum	0.137169
"Abu Dhabi"	0.136966
"Cape Town"	0.136938
Amsterdam	0.136029
Bonn	0.1355
Osaka	0.135285
Baghdad	0.134779
Frankfurt	0.133653
Auckland	0.133318
CHENGDU	0.131626
Sarajevo	0.129522
BRASILIA	0.128689
Quito	0.128308
MELBOURNE	0.127366
Pretoria	0.12676
Asmara	0.126726
Kigali	0.126446
Dublin	0.126422
TUNIS	0.124024
"KUWAIT CITY"	0.123343
Doha	0.123273
Dushanbe	0.122593
Karachi	0.122501
"Guatemala City"	0.122494
Copenhagen	0.122396
Vientiane	0.12233
Hangzhou	0.122209
Damascus	0.121381
Durban	0.121312
Belfast	0.120824
BELGRADE	0.120643
Managua	0.120427
Kabul	0.120116
Thailand	0.119037
NICOSIA	0.118898
Canberra	0.11796
Kinshasa	0.117839
Lhasa	0.117767
Honolulu	0.117741
JERUSALEM	0.117589
TEGUCIGALPA	0.117202
Oslo	0.11708
"CHIANG MAI"	0.116671
Windhoek	0.116516
"Sao Paulo"	0.116059
Accra	0.115985
Abuja	0.115778
Ottawa	0.115212
Bombay	0.115195
SANAA	0.114917
Washington	0.11451
"Ulan Bator"	0.114435
DUBAI	0.114161
Gaza	0.113396
"St. Petersburg"	0.113296
Macao	0.112666
Pristina	0.112628
Dili	0.11229
"New York"	0.112219
Gaborone	0.111727
NANJING	0.11119
Wellington	0.110691
"Los Angeles"	0.110619
Urumqi	0.110452
Monrovia	0.110185
Tianjin	0.108639
Mogadishu	0.108557
Shenzhen	0.107557
Lahore	0.107476
capital	0.107405
Calcutta	0.107114
Fukuoka	0.106943
Skopje	0.105646
MANAMA	0.105646
Srinagar	0.105577
"San Salvador"	0.105556
Abidjan	0.104349
"San Jose"	0.103855
Shenyang	0.10384
"Panama City"	0.103348
Port-au-Prince	0.103319
Lome	0.103008
"Santo Domingo"	0.102541
Chongqing	0.102079
Maseru	0.101868
Brisbane	0.101555
"Las Vegas"	0.101365
"San Francisco"	0.101247
Wuhan	0.101077
Katmandu	0.100985
Bujumbura	0.1009
Yaounde	0.100747
city	0.100464
Lausanne	0.0998295
Atlanta	0.099725
Bali	0.0995299
Rabat	0.0989674
Freetown	0.0988082
"San Juan"	0.0983891
Dakar	0.0977492
MONTEVIDEO	0.0976205
Milan	0.0975939
Vancouver	0.0974499
Jeddah	0.0971677
"Egyptian capital"	0.0968216
Tashkent	0.0966613
Munich	0.0961598
Minsk	0.0960803
Phoenix	0.0957214
Perth	0.0957149
Zurich	0.0952695
Tbilisi	0.0944794
Xiamen	0.0942999
Seattle	0.0940394
Malaysia	0.0939597
Tampa	0.0937276
Fuzhou	0.0932819
Muscat	0.0928851
Delhi	0.0927596
Brunei	0.0926384
Phuket	0.0925239
"Fort Worth"	0.0924493
Harbin	0.0919859
Orlando	0.0919011
Luxembourg	0.0918843
Houston	0.0917393
Dalian	0.0917355
Montreal	0.0915431
))
("Bangkok Asian Games" (desc 1752.57) (sims
"Eighth National Games"	0.224186
"Barcelona Games"	0.194001
"Pan Am Games"	0.187951
Asiad	0.187849
Universiade	0.183121
"Atlanta Olympic Games"	0.174258
"Asian Games"	0.17421
"Atlanta Games"	0.168424
"Atlanta Olympics"	0.162373
"World University Games"	0.162011
"Commonwealth Games"	0.160197
"National Games"	0.156748
"Centennial Olympic Games"	0.155014
"Southeast Asian Games"	0.154255
"Barcelona Olympics"	0.150317
"Nagano Olympics"	0.147472
"Olympic Winter Games"	0.142252
"World Athletics Championships"	0.1406
"European Swimming Championships"	0.139874
"World Figure Skating Championships"	0.138037
"Sydney Olympic Games"	0.137241
"European Championships"	0.136312
"Goodwill Games"	0.133263
"East Asian Games"	0.132354
"Seoul Olympics"	0.132293
"SEA Games"	0.132276
"Pan American Games"	0.132164
"World Junior Championships"	0.126295
"World Championships"	0.123727
"World Weightlifting Championships"	0.122596
"Asian Championships"	0.122152
"Summer Games"	0.119198
"Summer Olympics"	0.116498
"Winter Olympics"	0.111485
"Pikes Peak"	0.109738
"Olympic Games"	0.106836
"World Swimming Championships"	0.106
"Loch Lomond"	0.101385
"Summer Olympic Games"	0.101193
"Nagano Winter Olympics"	0.100901
"Sydney Games"	0.0968212
"Pleasant Valley"	0.0941851
"Lipton Championships"	0.0939122
"Millrose Games"	0.0937374
Paralympics	0.0922574
"Sydney Olympics"	0.0918451
"European Championship"	0.0906691
Lipton	0.0900438
"Southeast Asian"	0.0899496
"Winter Olympic Games"	0.0835244
"swimming meet"	0.0823337
"Australian Open"	0.0822309
"World Cycling Championships"	0.0818831
"Confederations Cup"	0.0814814
"Conseco Fieldhouse"	0.0812137
Eastbourne	0.0810169
"Asian Winter Games"	0.079983
"Roland Garros"	0.0799317
"French Open"	0.0791876
"Olympic Trials"	0.0789146
"Buick Invitational"	0.0772048
"World Table Tennis Championships"	0.0756136
Belfry	0.0753973
"Bay Hill"	0.0748709
"ASEAN Ministerial Meeting"	0.0740902
by-elections	0.0735789
"Sears Point"	0.0731994
"Nations Cup"	0.0724291
"World Petroleum Congress"	0.0712211
"New York City Marathon"	0.0706048
"Winter Games"	0.0705586
"International AIDS Conference"	0.0700996
"London Marathon"	0.0690825
tribals	0.0675518
backstroke	0.0675006
"Asian Cup"	0.0669538
tourney	0.0663492
"World AIDS Day"	0.0655828
"Pan Pacific"	0.0654169
Pir	0.0653202
Nagano	0.0652469
"Indian Wells"	0.0651206
"Sydney Olympic"	0.0643599
"Skate America"	0.0632589
"Thomas Cup"	0.0631223
IGC	0.0618451
"Consumer Electronics Show"	0.0615935
"Grand Slam Cup"	0.0612778
"Watkins Glen"	0.0603324
"Pebble Beach"	0.0596647
"Key Biscayne"	0.0595516
"Atlanta Olympic"	0.0594165
"National Party Congress"	0.0592702
"Melbourne Park"	0.0588291
"Stade Velodrome"	0.0587991
Martinsville	0.0571545
Stuttgart	0.0567144
SkyDome	0.0564074
"World Conference"	0.0562261
"match play"	0.0560147
"Asia-Europe Meeting"	0.0556998
"RFK Stadium"	0.0556422
"Cannes Film Festival"	0.0552603
Irwindale	0.0549661
Darlington	0.0547536
AMM	0.0544199
"African Cup"	0.0540168
Olympiad	0.0539984
"Rivers Stadium"	0.0537874
"Canadian Open"	0.05354
"sixth minute"	0.0533718
Doral	0.0532941
Daytona	0.0530834
"Mastercard Colonial"	0.0529993
"Sahalee Country Club"	0.0526325
"US Open"	0.0524972
"African Nations Cup"	0.052233
"U.S. Olympic"	0.0522047
"World Basketball Championship"	0.0520752
"Georgia Dome"	0.0519362
"pommel horse"	0.0517962
"Fortune Global Forum"	0.0517529
Edgbaston	0.0510771
"Talladega Superspeedway"	0.050923
"Mount Sinai Hospital"	0.0508598
"Italian Open"	0.0505838
breaststroke	0.0504104
"Augusta National"	0.0503829
"South African Amanda Coetzer"	0.0499638
"Santa Anita"	0.0498725
"German Open"	0.0498184
"Kiel Center"	0.0497789
"three-day event"	0.0495397
"MCI Center"	0.049534
"World AIDS Conference"	0.0495148
Nottingham	0.0487028
"Hamlet Cup"	0.0485555
"Kauffman Stadium"	0.0483062
Indy	0.0482381
"Grammy Awards"	0.0480514
"Earth Day"	0.0480399
"Special Session"	0.047835
"Basketball Championship"	0.0477772
"Oak Hill"	0.0476243
Hiroshima	0.0473228
"Ministerial Conference"	0.0473083
"Sundance Film Festival"	0.0471761
"second minute"	0.0465955
"Atlanta Motor Speedway"	0.0465049
"Legg Mason"	0.0464655
"Fourth Session"	0.0464626
"Georgia World Congress Center"	0.0464308
"Great Western Forum"	0.0462472
"Special Economic Zones"	0.0461649
scull	0.0460427
"Orange Bowl"	0.0458661
"East Lake"	0.0457508
"Pearl Harbor"	0.0457457
Kitzbuehel	0.0455502
"Field Poll"	0.0454471
"Maurier Open"	0.0452836
"Arrowhead Stadium"	0.0452557
Albertville	0.0450298
Perth	0.0449937
"Myanmar Embassy"	0.0447187
"Olympic Club"	0.0446548
"Texas Motor Speedway"	0.0445733
"first weekend"	0.0445367
"United States Open"	0.0442203
Lillehammer	0.044142
Bormio	0.0440035
"Foxboro Stadium"	0.0438937
Hakuba	0.0436703
"Colorado State University"	0.043503
judo	0.0434047
"Monte Carlo"	0.0432801
"war game"	0.0432372
Leipzig	0.0431011
"World Environment Day"	0.0430463
"Shrine Auditorium"	0.0430287
Super-G	0.0430073
"Copa America"	0.0429482
Linz	0.0428895
"third minute"	0.0425336
Brickyard	0.0422787
"Dunhill Cup"	0.0421473
spaceflight	0.0421399
Halle	0.0421125
"World Team Cup"	0.0419686
Valderrama	0.0418908
Morehouse	0.0418479
"Wembley Stadium"	0.0418274
Rotterdam	0.0415805
"Camden Yards"	0.0415367
"fifth minute"	0.0414814
"Riverside Church"	0.0414304
"Infantry Battalion"	0.0413956
"Western Open"	0.0413542
"Carnegie Mellon University"	0.0412254
"World Health Assembly"	0.0411995
))
("Bangkok Bank" (desc 2800.61) (sims
"Thai Farmers Bank"	0.230709
ICBC	0.153268
BOC	0.144526
"Industrial and Commercial Bank of China"	0.140857
SDB	0.133039
"Deutsche Bank"	0.1219
CCB	0.106957
HSBC	0.105915
"Deutsche Bank AG"	0.0921047
"State Development Bank"	0.0917151
"Dai-Ichi Kangyo Bank"	0.0906758
"Societe Generale"	0.0902077
"Bank of China"	0.0900001
UBS	0.0898479
"Chase Manhattan Corp."	0.0868819
Eximbank	0.084747
BofA	0.0840328
"commercial bank"	0.0834437
"Sumitomo Bank"	0.0830971
"Bank Bali"	0.0828085
"Bank of Japan Ltd."	0.0810641
"Bank of America"	0.0806666
TDC	0.0801281
NARAL	0.0793044
PICC	0.0787356
"Chase Manhattan"	0.0783886
"First Union"	0.0769269
SSB	0.0756643
"Sakura Bank"	0.0750678
BankBoston	0.0730361
"Long-Term Credit Bank"	0.072075
"U.S. Soccer Federation"	0.0720655
"Bank of Japan"	0.0717345
"Washington Mutual"	0.0706327
"China Construction Bank"	0.0704628
"Wells Fargo"	0.0702355
Sumitomo	0.0701809
"Credit Lyonnais"	0.0697064
"national bank"	0.0694595
IAI	0.0679629
PBOC	0.067868
"Dresdner Bank"	0.0677292
"U.S. Fed"	0.0670991
"Sanwa Bank"	0.0665882
BankAmerica	0.0659651
"Business Council"	0.0654356
AGL	0.0648823
Commerzbank	0.0645903
Barclays	0.0644393
Paribas	0.064094
"Central Bank of Nigeria"	0.0640008
"Credit Suisse"	0.063965
NatWest	0.0637126
IFC	0.0636993
ADB	0.0633791
"merchant bank"	0.0633306
"Hong Kong Tourist Association"	0.0633305
"Bank of Thailand"	0.0632814
PLN	0.0628289
IDB	0.0619859
ITC	0.0618558
E-LOAN	0.0617187
"Visa International"	0.0613647
USEC	0.061141
CBK	0.060433
Carrefour	0.0604269
"Real Networks"	0.0603898
CNA	0.0601351
LTCB	0.0597632
RJR	0.0595587
"Hang Seng Bank"	0.0591423
"National Australia Bank"	0.0589587
"Morgan Stanley Dean Witter"	0.0586148
"Bank of Tokyo-Mitsubishi"	0.0585255
"Nissan Motor Co."	0.0580237
"African Development Bank"	0.0570482
"Bankers Trust"	0.0570149
CDB	0.0567568
"Philippine Central Bank"	0.0567517
"Defense Agency"	0.0565636
CBI	0.0565215
PBC	0.0564433
YankeeNets	0.0564376
"NEC Corp."	0.056375
Citigroup	0.0561621
"National Semiconductor"	0.0559815
"Hyundai Group"	0.0559029
"Bankers Trust Corp."	0.0558224
Citibank	0.0556307
Daewoo	0.0553331
ENTREMED	0.0548996
"MindSpring Enterprises"	0.0546409
GPU	0.0544109
"Harvard Pilgrim"	0.0541114
NationsBank	0.0539566
Wachovia	0.0538329
"World Jewish Congress"	0.0538108
"HSBC Holdings"	0.0537761
Ltd	0.0537728
CPAFFC	0.0534173
PLDT	0.0533981
"U.S. Trust"	0.0533861
"National Abortion and Reproductive Rights Action League"	0.0527176
"Nikko Securities Co."	0.0525918
"Israeli Foreign Ministry"	0.052568
"Legend Group"	0.0524891
FSB	0.0524859
"Housing Authority"	0.0522504
VENATOR	0.0520435
SPC	0.0517868
"Nomura Securities Co."	0.0515037
"Industrial Bank of Japan"	0.0513004
"State Administration of Foreign Exchange"	0.0511445
JAL	0.0510921
"Charles Schwab"	0.0510386
"Charles Schwab Corp."	0.0509548
"finance company"	0.0509262
"U S West"	0.0508523
"J&AMP;J"	0.050661
"Ford Motor"	0.0505657
"China National Petroleum Corporation"	0.0504955
NTT	0.0504276
Cerent	0.0502162
BOI	0.0500906
"reserve bank"	0.0499704
"Con Edison"	0.0499451
"Labor office"	0.0497402
CNPC	0.0495663
"Sony Corp."	0.0492522
Alcan	0.0492493
"American Association of Health Plans"	0.0491727
"Scotland Yard"	0.049111
ICA	0.0490487
"U.S. Golf Association"	0.0490177
"Nihon Keizai Shimbun"	0.0489253
Totalfina	0.0488671
"National Association of Manufacturers"	0.0487719
"Chase Manhattan Bank"	0.0485289
"ABN AMRO"	0.0484899
"International Paper"	0.0484511
Pertamina	0.048422
Hitachi	0.0482851
"Goldman Sachs"	0.0481592
"Securities Industry Association"	0.0481227
"Yamaichi Securities Co."	0.0481155
"Bank of Korea"	0.0480907
"Bank of Canada"	0.0480562
furthermore	0.0480417
CNOOC	0.0477517
Maurizi	0.0475604
OCA	0.0475265
"Supachai Panitchpakdi"	0.0474809
"East African Standard"	0.047344
"Bank Negara"	0.0472922
Salomon	0.0472292
PictureTel	0.0470861
"Russian Defense Ministry"	0.0470744
COSCO	0.0469701
"Charles Schwab &AMP; Co."	0.0468944
"European Central Bank"	0.0467702
SGI	0.0464556
"Agence France Presse"	0.0464049
"U.N. World Food Program"	0.0463446
"Thai Airways International"	0.0463158
Sinopec	0.0462887
"Screen Actors Guild"	0.0462377
IMG	0.0461715
DLC	0.0461184
"U.S. Defense Department"	0.0460926
ARCO	0.0460637
Qinghua	0.0459736
"Robert C. Byrd"	0.0459424
Adelphia	0.0458881
"Con Ed"	0.0458447
Merrill	0.0458276
"Credit Suisse First Boston"	0.0457444
Alltel	0.0455639
"First Union Corp."	0.0455267
CMA	0.0452593
"Salomon Smith Barney"	0.0452192
"Wine Institute"	0.0451932
"UBS AG"	0.045135
"International Badminton Federation"	0.045114
NCEC	0.0450579
"Nippon Credit Bank"	0.0450507
Nomura	0.0449842
Olivetti	0.044855
"J.P. Morgan &AMP; Co."	0.0448461
"Association of Flight Attendants"	0.0448124
"investment house"	0.0447409
"Royal Bank"	0.0444107
"Donaldson, Lufkin &AMP; Jenrette"	0.0443842
NiSource	0.0443313
RBA	0.0443114
Yamaichi	0.0442612
"National Trust"	0.0441927
"Federal Reserve Board"	0.0441887
"Merrill Lynch"	0.0440952
AOC	0.044085
"Asian Development Bank"	0.0439892
))
("Bangkok Post" (desc 6097.05) (sims
"Egyptian Gazette"	0.307696
"East African Standard"	0.299891
"Business Day"	0.292992
"Gulf News"	0.289132
"Daily Nation"	0.284717
"Straits Times"	0.281783
"Zambia Daily Mail"	0.281508
Noticias	0.278683
"Alam Al Yom"	0.276987
"Business Times"	0.272301
"Kenya Times"	0.270018
"Tehran Times"	0.268526
"Thai News Agency"	0.268184
"Ethiopian Herald"	0.26213
"South China Morning Post"	0.260191
"Vietnam News"	0.260187
"New Vision"	0.258578
"Kyodo News"	0.254472
Sowetan	0.254044
"Jakarta Post"	0.253762
"New Light"	0.250174
"Jordan Times"	0.250017
"Indonesian Observer"	0.246363
"Jerusalem Post"	0.246246
"Daily Star"	0.244396
Haaretz	0.243104
"Kuwait News Agency"	0.241437
"Al Ahram"	0.237241
"Al Hayat"	0.236448
"Moscow Times"	0.234573
"Business Weekly"	0.227506
"Khaleej Times"	0.226433
"Sydney Morning Herald"	0.223247
"Saudi Press Agency"	0.219953
"Macao Daily News"	0.219865
al-Hayat	0.217698
"Iran News"	0.216224
Hurriyet	0.209536
Angop	0.208784
"New Nigerian"	0.208662
"Le Monde"	0.206699
"Philippine News Agency"	0.205718
"Agence France Presse"	0.205566
"Daily Times"	0.205469
"Kyodo News Service"	0.204939
"Associated Press of Pakistan"	0.203797
"South African Press Association"	0.201109
"The Monitor"	0.200734
"Australian Associated Press"	0.198598
Maariv	0.192264
"Middle East News Agency"	0.190884
Antara	0.189579
"Le Figaro"	0.187508
"China Daily"	0.187345
IRNA	0.186894
"Korean Central News Agency"	0.186384
L'Equipe	0.183145
"Egyptian Middle East News Agency"	0.182468
"The New Vision"	0.182217
"New Straits Times"	0.181779
Reforma	0.180093
"Post Express"	0.17902
Lusa	0.178992
"Kathmandu Post"	0.178833
"China Daily Business Weekly"	0.178442
"Iraqi News Agency"	0.17824
"Daily News"	0.178178
"Daily Mail"	0.177752
"El Mundo"	0.17626
"Financial Mail"	0.175108
"Radio Uganda"	0.173869
"Agence France-Presse"	0.173425
"Islamic Republic News Agency"	0.173249
"News Agency of Nigeria"	0.170608
"Daily Telegraph"	0.16997
Kommersant	0.16932
Kyodo	0.169067
"Turkish Daily News"	0.168424
Al-Ahram	0.168002
"Press Trust of India"	0.1677
"Nihon Keizai"	0.16736
"Antara News Agency"	0.167005
Tass	0.165792
"Financial Times"	0.165602
"Ethiopian News Agency"	0.162205
"Israel Radio"	0.162131
Malaya	0.161768
"Ghana News Agency"	0.161661
"U.S. Labor Department"	0.161539
"Asahi Shimbun"	0.161421
"Anatolia News Agency"	0.161415
"El Pais"	0.159334
Ansa	0.157776
"Vietnam News Agency"	0.156031
"Dow Jones Newswires"	0.155859
"Southern African Broadcasting Association"	0.155803
"East African"	0.155416
"Rwanda News Agency"	0.154761
"Nihon Keizai Shimbun"	0.153586
Sera	0.151751
Bernama	0.151672
"Guangming Daily"	0.151551
"Economic Daily"	0.148905
Granma	0.148505
Tanjug	0.148214
Salam	0.147772
"Wenhui Daily"	0.146924
"Zambia News Agency"	0.146693
"Athens News Agency"	0.145298
Herald	0.145282
"Washington Post"	0.144657
"British Broadcasting Corporation"	0.140317
"Beijing Daily"	0.139871
KPL	0.138437
"Yediot Ahronot"	0.138259
PTI	0.137439
"Wall Street Journal"	0.136922
"Yomiuri Shimbun"	0.136368
"Press Trust"	0.135522
Asahi	0.135072
Notimex	0.13503
AFP	0.134762
"USA TODAY"	0.133781
"Zimbabwe News Agency"	0.133529
Politika	0.132184
Itar-Tass	0.131675
Petra	0.131406
MENA	0.130943
"China Youth Daily"	0.130637
Eurostat	0.130261
"Los Angeles Times"	0.129429
"Koha Ditore"	0.129139
"New York Post"	0.128508
"Cyprus News Agency"	0.128197
Interfax	0.127458
Al-Thawra	0.126333
"Washington Times"	0.125188
BS	0.121883
Times	0.121272
"Seattle Times"	0.117056
MTI	0.116736
SAPA	0.116137
"Dallas Morning News"	0.114205
"Rodong Sinmun"	0.112782
ATA	0.112307
Yomiuri	0.11215
"Statistics Canada"	0.111133
"news agency"	0.110769
Bild	0.110649
"United Press International"	0.110391
Guardian	0.109319
TT	0.109084
Izvestia	0.108212
Reuters	0.108035
"International Business Daily"	0.106152
"Xinhua News Agency"	0.104245
"Der Spiegel"	0.103512
INA	0.102098
Inquirer	0.101665
"New York Daily News"	0.10163
WAM	0.101403
"Jerusalem Media and Communication Center"	0.101133
"Denver Post"	0.0985479
ABS-CBN	0.0982542
"National Association of Realtors"	0.096967
"Wen Wei Po"	0.096627
"National Post"	0.0960207
"U.S. Commerce Department"	0.0957906
RSS	0.0944196
"Miami Herald"	0.094337
"New York Times"	0.092711
"Beijing Youth Daily"	0.0923369
"press agency"	0.0909676
BBC	0.0880622
rainout	0.0871004
KUNA	0.0859783
"Boston Herald"	0.0843189
Dominion	0.0835659
"Conference Board"	0.0830986
"Chicago Tribune"	0.0807644
"Nhan Dan"	0.0796001
APP	0.0791887
Anatolia	0.0779287
"Australian Bureau of Statistics"	0.0778899
"news service"	0.0774929
NTV	0.0772537
"Commerce Department"	0.0770405
APA	0.075804
"Labor Department"	0.0749841
"Hang Seng China-Affiliated Corporations Index"	0.0736111
"Associated Press"	0.0734053
Jana	0.0730938
telegraph	0.0715311
"Bloomberg News"	0.0711861
"Boston Globe"	0.0699288
"Information Center"	0.0684282
"Economic Planning Agency"	0.0683463
gazette	0.0681394
NHK	0.0674585
"Detroit News"	0.0671291
))
(Bangladesh (desc 75261.1) (sims
Nepal	0.248279
"Sri Lanka"	0.233392
Pakistan	0.217537
India	0.210667
Thailand	0.210514
Myanmar	0.208011
Tanzania	0.200768
Mozambique	0.196938
Kenya	0.194602
Indonesia	0.192833
Zambia	0.191412
Malaysia	0.189893
Philippines	0.189828
Cambodia	0.189181
Egypt	0.182715
Uganda	0.180517
Mongolia	0.177934
Vietnam	0.176142
Zimbabwe	0.175358
Ethiopia	0.171104
China	0.170907
"African country"	0.169019
Ukraine	0.165342
Iran	0.164865
Brunei	0.164798
Nigeria	0.164056
"South Africa"	0.162399
Singapore	0.161297
Laos	0.157304
"South Korea"	0.156772
country	0.156009
Yemen	0.152309
Oman	0.152301
"Asian country"	0.150824
Algeria	0.150517
"Saudi Arabia"	0.150038
Sudan	0.14924
Romania	0.148939
Kazakhstan	0.147615
Angola	0.147326
Peru	0.146787
Ghana	0.1467
Japan	0.146064
Venezuela	0.145039
Colombia	0.144246
Poland	0.144065
Bulgaria	0.144049
Namibia	0.142657
"New Zealand"	0.142449
Mexico	0.142316
Kuwait	0.142054
Turkey	0.141517
Brazil	0.140776
Maldives	0.140765
Afghanistan	0.140614
Botswana	0.140392
Russia	0.140025
Australia	0.139491
"Papua New Guinea"	0.138567
Hungary	0.137982
Nicaragua	0.137879
Argentina	0.13689
Bhutan	0.132354
Africa	0.13186
Libya	0.131607
Albania	0.131235
Malawi	0.130841
Uzbekistan	0.13081
Turkmenistan	0.130263
"Hong Kong"	0.129885
"United Arab Emirates"	0.128997
Britain	0.128413
Kyrgyzstan	0.128152
Tunisia	0.127921
Canada	0.127808
"Asian nation"	0.127683
UAE	0.125515
France	0.125399
Israel	0.124081
Panama	0.123306
Greece	0.122957
Bahrain	0.122942
Cuba	0.122679
Ecuador	0.122645
"Sierra Leone"	0.122639
region	0.122305
Jordan	0.121742
Somalia	0.121406
Liberia	0.121295
Iraq	0.120894
Lebanon	0.12088
Germany	0.120791
"United States"	0.120692
"Republic of Korea"	0.120537
"Costa Rica"	0.120484
Qatar	0.120361
Honduras	0.120297
DHAKA	0.118141
Uruguay	0.117881
Chile	0.117594
Taiwan	0.117277
Syria	0.117017
Bolivia	0.116433
DPRK	0.115719
Azerbaijan	0.115585
province	0.115352
Djibouti	0.114677
Haiti	0.114582
Armenia	0.114554
Moldova	0.114205
Italy	0.114001
Guatemala	0.113331
Madagascar	0.113124
Asia	0.11222
"European country"	0.112192
"North Korea"	0.111941
Belarus	0.111847
Tibet	0.111656
Cyprus	0.111528
Rwanda	0.111364
Burundi	0.111241
Mali	0.110995
Kingdom	0.110839
Portugal	0.11055
Mauritius	0.109897
"Viet Nam"	0.109871
Congo	0.10862
Togo	0.108268
Finland	0.108082
Swaziland	0.107736
Lesotho	0.107339
Guinea	0.107299
Benin	0.107213
PNG	0.10716
Niger	0.107009
Macedonia	0.106826
Austria	0.106354
Norway	0.106339
Senegal	0.106307
Fiji	0.106207
ASEAN	0.106016
Croatia	0.105959
Tajikistan	0.105898
"Southeast Asia"	0.105454
Macao	0.105318
Switzerland	0.105075
"United Kingdom"	0.105015
nation	0.104625
ROK	0.104587
Morocco	0.104341
"Latin America"	0.104202
Eritrea	0.104056
Yugoslavia	0.103953
"El Salvador"	0.103815
Belgium	0.103476
Shanghai	0.103336
Yunnan	0.102969
"African nation"	0.102903
Burma	0.102826
BEIJING	0.1017
Europe	0.101001
Bosnia	0.1006
Guangdong	0.100543
Zaire	0.100543
"Democratic People's Republic of Korea"	0.0992072
"Dominican Republic"	0.0984564
Spain	0.0983849
EU	0.0978715
Gabon	0.097699
Sweden	0.0964672
Ireland	0.0961188
mainland	0.09611
Korea	0.0960929
Guyana	0.0954379
Fujian	0.0950103
Republic	0.0950012
"Central American country"	0.0947209
Jamaica	0.0945093
"Ivory Coast"	0.0942793
Tianjin	0.0941211
Lao	0.093756
Netherlands	0.0932637
"European Union"	0.092928
"Middle East"	0.0928366
state	0.0914739
"member country"	0.0913213
Palestine	0.0912927
"Central America"	0.0911252
Xinjiang	0.0909979
Lithuania	0.0906017
Georgia	0.0903705
Denmark	0.0903638
Serbia	0.0902143
"Czech Republic"	0.0900773
Guangxi	0.0897845
Chad	0.0893695
U.S.	0.0883446
Shenzhen	0.0882363
Slovenia	0.0881013
"Balkan country"	0.0880197
))
("Bangladesh Bank" (desc 1049.29) (sims
"Bank of Zambia"	0.32568
"People's Bank of China"	0.265942
"State Bank of Pakistan"	0.248089
"Bank of Israel"	0.246744
"Bank of Uganda"	0.242612
"Bank Indonesia"	0.203476
"Bank of Thailand"	0.201637
"Hong Kong Monetary Authority"	0.182339
"Bank Negara"	0.178047
"Reserve Bank of Australia"	0.167246
"reserve bank"	0.164687
"Bank of Italy"	0.156889
Bundesbank	0.147156
"Philippine Central Bank"	0.139928
"Bank of Korea"	0.138783
"Reserve Bank of India"	0.13305
"Bank of England"	0.122306
"Bank of China"	0.121741
PBOC	0.120812
"Tourism Authority of Thailand"	0.11674
"Central Bank of Nigeria"	0.113427
PBC	0.103937
"Bank of Japan"	0.0973148
"Dhaka Stock Exchange"	0.0966964
"Central Bank of Kenya"	0.0946899
"Home Ministry"	0.0922384
Bi	0.091481
"election commission"	0.0894601
"Board of Investment"	0.0891559
IBRA	0.0856603
CIRC	0.0849004
"Macao Government"	0.0833676
espana	0.0832299
"Academy of Motion Picture Arts"	0.0820995
"State Flood Control"	0.0805185
"Dai Xianglong"	0.0788198
"National Republican Congressional Committee"	0.0775011
"Vietnam Airlines"	0.0766715
"Central Commission for Discipline Inspection"	0.0758135
"National Electoral Commission of Nigeria"	0.0750563
"Transport Ministry"	0.0747128
"Thai Commerce Ministry"	0.0737781
"Ministry of International Trade and Industry"	0.0733021
"Indonesian Armed Forces"	0.0709886
"U.S. Soccer Federation"	0.0702975
"Agriculture Ministry"	0.0702121
"Olympic Council of Asia"	0.0701694
"Wim Duisenberg"	0.0693511
"Department of Environment"	0.0691785
"Independent National Electoral Commission"	0.0688622
"Health and Welfare Ministry"	0.0687654
"Federal Highway Administration"	0.0678757
"Commerce Ministry"	0.0675078
CSRC	0.0665208
"Quintana Roo"	0.0660197
"Public Security Ministry"	0.0658
rial	0.0651282
"Hong Kong Tourist Association"	0.0642303
"Health Ministry"	0.0642066
"Commission on Elections"	0.0641822
"Kenyan Government"	0.0627663
"Nuclear Regulatory Commission"	0.0626356
"Gulf Air"	0.0620879
"Ministry of Interior"	0.0619792
"Japanese Embassy"	0.0619789
"U.S. Treasury Department"	0.0614277
"Ministry of Internal Trade"	0.061349
MAS	0.0611525
GOPAC	0.0609391
IEA	0.0609225
"State Development Bank"	0.0606363
"Lagos State"	0.0593985
BoT	0.0590273
DEP	0.0588719
"Log Cabin Republicans"	0.0587278
NCEC	0.0587127
CPA	0.0585015
EOHR	0.0582367
CAAC	0.0581598
"Nevada Athletic Commission"	0.0573996
"Ministry of Posts"	0.0570402
"U.S. Golf Association"	0.0565028
"Thai Foreign Ministry"	0.0560264
HKTA	0.0555333
"American Jewish Committee"	0.05533
"EU Commission"	0.0551682
"Lower Saxony"	0.0550375
"Independent Electoral Commission"	0.0548172
"Consumer Product Safety Commission"	0.0546061
"Human Rights Campaign"	0.0540258
EC	0.0539017
CBK	0.0538504
"Ethics Commission"	0.0537832
"Bank of Scotland"	0.0533931
"Indonesian Military"	0.0532903
"Ministry of Labor"	0.0529867
"Beijing Municipal Government"	0.052789
"Defense Agency"	0.0526073
"State Planning Commission"	0.0525067
"Cuban American National Foundation"	0.0523464
"United Nations High Commission for Refugees"	0.0521347
"Russian Defense Ministry"	0.0515719
Zacatecas	0.0513846
"Israeli Army"	0.0512318
"Lone Star State"	0.0512153
"British Foreign Office"	0.0511234
"Minas Gerais"	0.0510252
"U.N. High Commissioner for Refugees"	0.0509566
ICTR	0.0507881
ITC	0.0507835
"Thai Airways"	0.050655
"Civil Aviation Administration of China"	0.0505238
"Begum Khaleda Zia"	0.0501844
USATF	0.0501203
UNFPA	0.0501032
"bank note"	0.050055
"National Gambling Impact Study Commission"	0.0499475
Eximbank	0.04991
"NFL Players Association"	0.049802
"Agricultural Bank of China"	0.0495408
GEC	0.049517
"Civil Aviation Authority"	0.0494146
"Violence Policy Center"	0.049383
"Commission on Presidential Debates"	0.0489719
Govt	0.0489161
Majko	0.0485303
"Indian High Commission"	0.0485133
"Housing Authority"	0.0484305
"China Eastern Airlines"	0.048387
IEC	0.0483519
"Ministry of Economy"	0.048233
"International Amateur Athletics Federation"	0.048179
"US State Department"	0.0480983
"European Central Bank"	0.0480754
"federal district"	0.0480112
"Nevada State Athletic Commission"	0.0479994
USGA	0.047971
"Ministry of Foreign Trade and Economic Cooperation"	0.0479634
Aeroflot	0.0478834
"Port Authority of New York"	0.0478259
"International Badminton Federation"	0.0476207
"American state"	0.0476074
"Turkish Foreign Ministry"	0.0474847
CAA	0.0474666
PSE	0.0474478
"Department of Finance"	0.0472454
"Phelps Dodge"	0.0470262
TDB	0.0470153
SPS	0.046988
"Nature Conservancy"	0.0469636
"Financial Supervisory Agency"	0.0468382
"International Brotherhood"	0.0467811
CDB	0.0467756
CAF	0.0467512
SFC	0.0466138
HKMA	0.0465495
"Industry Ministry"	0.0465358
"National Federation"	0.0463639
"U.S. Export-Import Bank"	0.0461301
"Ministry of Information"	0.0459972
SAA	0.0459748
"Badminton Association of Indonesia"	0.0458037
"foreign direct investment"	0.0457419
lev	0.0456738
GPU	0.0453984
HCFA	0.0453309
"Hyundai Motor Co."	0.0452872
"Monetary Policy Committee"	0.0451828
"International Atomic Energy Agency"	0.0451713
"Information Ministry"	0.0451437
CCC	0.0450057
PTT	0.0449377
"Public Service Commission"	0.0448584
NARAL	0.044845
Naira	0.044755
"Thai Farmers Bank"	0.0447142
"Players Association"	0.0446456
CSA	0.0446259
ATC	0.0446017
"National Sports Council"	0.0445178
"De Beers"	0.0445162
"Myanmar Embassy"	0.0443647
"Chinese State Council"	0.0442501
"Executive Committee"	0.0442483
"Palestinian Liberation Organization"	0.0441151
"Arthur Levitt"	0.0440186
Newhouse	0.0439908
SOCOG	0.0438724
"Kenya Airways"	0.0436879
"Ministry of Public Security"	0.0435255
"State Administration of Foreign Exchange"	0.043487
"Tupac Amaru Revolutionary Movement"	0.0434552
"Church of England"	0.0433993
CCB	0.0433896
"Hyundai Group"	0.043334
"National Association of Securities Dealers"	0.043173
Riady	0.0431721
PLN	0.0430534
Ld-Writethru	0.0429524
FIVB	0.0427334
))
("Bangladesh Nationalist Party" (desc 6637.92) (sims
BNP	0.318495
"Awami League"	0.288522
Awami	0.203791
Jamaat-e-Islami	0.190836
"United National Party"	0.187389
"Bharatiya Janata Party"	0.184437
"Kenya African National Union"	0.179584
"Pakistan Muslim League"	0.179026
"Nepali Congress"	0.173499
"United National Independence Party"	0.171281
"National League for Democracy"	0.162862
CPN-UML	0.162333
"Jatiya Party"	0.158122
"Socialist Party"	0.157843
"Congress Party"	0.151941
"Pakistan People's Party"	0.150252
"Khaleda Zia"	0.14564
"People's Party"	0.143162
"National Democratic Party"	0.142721
"Christian Democratic Union"	0.139765
"Inkatha Freedom Party"	0.137511
BJP	0.136548
FUNCINPEC	0.136297
"Cambodian People's Party"	0.135151
"National Party"	0.133012
"Grand National Party"	0.132472
Renamo	0.131942
UNIP	0.13118
"Liberal Democratic Party"	0.129642
"Sam Rainsy Party"	0.12823
"Social Democratic Party"	0.127734
"African National Congress"	0.12731
"Begum Khaleda Zia"	0.125223
"People's Alliance"	0.125063
"New Aspiration Party"	0.122531
"Serbian Renewal Movement"	0.11623
"Communist Party"	0.111447
"Indonesian Democratic Party"	0.110971
"Labor Party"	0.110521
"Christian Social Union"	0.110029
"United Democratic Movement"	0.110011
"Croatian Democratic Union"	0.107487
"United Malays National Organization"	0.10728
NC	0.107151
PPP	0.106955
FRELIMO	0.106924
"New Korea Party"	0.106614
"Golkar Party"	0.106335
"Democratic Party"	0.104682
"Zimbabwe African National Union-Patriotic Front"	0.104544
"Muslim Brotherhood"	0.103982
"Christian Democrats"	0.103315
"Islamic Salvation Front"	0.10069
"People's Democratic Party"	0.10068
"Democrat Party"	0.100621
"Ulster Unionists"	0.100576
Otpor	0.10014
"Conservative Party"	0.0996149
Likud	0.0994471
"Meretz Party"	0.0986829
CPP	0.0978614
"Ulster Unionist Party"	0.0978292
"Likud Party"	0.0972914
"Liberal Democrats"	0.0971751
"United Front"	0.0964333
"Sam Rainsy"	0.0964128
"National Front"	0.0963176
"National Resistance Movement"	0.095885
Kanu	0.0958713
"Social Democrats"	0.0958317
"Speaker Ali Akbar Nateq-Nouri"	0.0957947
Golkar	0.0957567
"Popular Party"	0.0953356
"Liberal Party"	0.095197
"National Religious Party"	0.0947699
"Motherland Party"	0.0942295
Yabloko	0.0942214
"Center Party"	0.0940714
"Serbian Radical Party"	0.0933817
"Democratic Left"	0.0931495
"National Action Party"	0.0930541
"political party"	0.0927817
socialist	0.0922984
"Institutional Revolutionary Party"	0.0919402
"Sheikh Hasina"	0.0919366
Meretz	0.0906675
LDP	0.0904365
"Janata Dal"	0.0903137
"Alejandro Toledo"	0.0898114
"Canadian Alliance"	0.0897427
"National Democratic Alliance"	0.0893054
"Virtue Party"	0.0891535
SPD	0.087611
MQM	0.0873257
RPP	0.0871584
"John Major"	0.0868711
"trade union"	0.0867724
"Islamic Resistance Movement"	0.0866378
"King Birendra"	0.0862023
"United Liberal Democrats"	0.0857039
CCM	0.0849046
"Democratic Revolution Party"	0.0848998
MMD	0.0848934
NLD	0.084443
"Democratic Action"	0.0844063
JP	0.0843206
"Russian Communist Party"	0.0841432
"New Democracy"	0.0841257
UNP	0.083912
Shas	0.0837692
"Northern Alliance"	0.0836655
"Democratic Progressive Party"	0.0835576
"Chavalit Yongchaiyudh"	0.0835364
Zanu-pf	0.0830135
"Herri Batasuna"	0.0828007
"Rwandan Patriotic Front"	0.0818412
CPN-ML	0.0816928
"Vuk Draskovic"	0.0809361
"Colorado Party"	0.080812
Berisha	0.0808005
"Pakalitha Mosisili"	0.0802983
"election commission"	0.0802145
"Sudan People's Liberation Army"	0.0801396
"National Convention Executive Council"	0.0800762
"Megawati Sukarnoputri"	0.079792
RPR	0.0792072
"National Awakening Party"	0.0791971
CDU	0.0791045
Sandinistas	0.0790796
"Revolutionary Party"	0.0786627
"United Development Party"	0.0786321
"labor union"	0.0782059
PASOK	0.0781567
"Benazir Bhutto"	0.0778015
"Democratic Unionist Party"	0.0774822
Zajedno	0.077279
"William Hague"	0.0769437
PML-N	0.0764619
"Executive Committee"	0.0763609
"Council of State"	0.0762325
"Barisan Nasional"	0.0752442
"Lesotho Congress"	0.0752349
"State Peace and Development Council"	0.075143
"Christian Democratic Party"	0.0751086
"Islamic Jihad"	0.0749585
"Civic Democratic Party"	0.0747572
MPLA	0.0747017
"John Howard"	0.0745748
MP	0.0740377
"Justice Party"	0.0730266
"Union of Right Forces"	0.0728368
"True Path Party"	0.0726432
unionist	0.0724734
"Sher Bahadur Deuba"	0.0720367
Histadrut	0.0718786
Kaunda	0.0717999
"Fatos Nano"	0.0717625
ANC	0.071715
faction	0.0713499
"Patriotic Union of Kurdistan"	0.0711697
SDLP	0.070934
"Social Democratic"	0.0706898
SPLA	0.0704655
"Ariel Sharon"	0.0702926
Zapatistas	0.069965
ZCTU	0.0699487
"Aung San Suu Kyi"	0.0698754
"World Tourism Organization"	0.0698013
"Rashid Dostum"	0.0696946
"Vladimir Meciar"	0.0693753
PDP	0.0693187
"Tim Fischer"	0.0692709
mujahedeen	0.0692327
"Shimon Peres"	0.0691369
"P.V Narasimha Rao"	0.0689823
"Real IRA"	0.0686273
"Atal Behari Vajpayee"	0.0685066
Garang	0.0682707
"Secretary General Esmat Abdul-Meguid"	0.0681308
"Pedro Rossello"	0.0680428
Ecevit	0.0680117
"Vietnamese Communist Party"	0.0678479
chairperson	0.0676168
Bangladeshi	0.0674568
"Board of Investment"	0.0672056
"National Action"	0.0671289
"Charles Taylor"	0.0670587
"Binyamin Netanyahu"	0.0670359
"South Asian Association for Regional Cooperation"	0.0670314
"Chinese Olympic Committee"	0.0669856
Lakas-NUCD	0.0668531
"Nationalist Party"	0.0668487
RUF	0.0668462
"Tansu Ciller"	0.0664846
PML	0.0664652
"Israeli Foreign Ministry"	0.0663513
"Mesut Yilmaz"	0.0663011
FORD-Kenya	0.0662944
"Secretary-General Boutros Boutros-Ghali"	0.0662648
Bhutto	0.0661645
))
(Bangladeshi (desc 8095.79) (sims
"Sri Lankans"	0.239309
Sudanese	0.15512
Pakistani	0.150721
Thai	0.144486
Mozambican	0.142618
Filipino	0.141235
Vietnamese	0.137356
Afghan	0.135368
Nepalese	0.133161
Yemeni	0.128772
Egyptian	0.128369
Nepali	0.127186
Kenyan	0.125818
Salvadoran	0.124751
Ugandan	0.123842
Iranian	0.123647
Lebanese	0.12242
Zimbabwean	0.122405
Nicaraguan	0.121916
Malaysian	0.120567
Tanzanian	0.12034
Jordanian	0.116128
Somali	0.115871
Nigerian	0.113987
Zambian	0.113846
Ethiopian	0.113417
Ukrainians	0.112583
Kuwaiti	0.112527
Indonesian	0.111285
Angolan	0.110363
Cypriot	0.110075
Bulgarian	0.108711
Eritrean	0.107245
Taiwanese	0.106994
Honduran	0.105379
Guatemalan	0.104767
Liberian	0.104482
Colombian	0.101204
foreigner	0.101197
Iraqi	0.100755
Guinean	0.0994836
Haitian	0.0986258
"South African"	0.0972866
Mexican	0.0964585
"New Zealander"	0.0961675
"Foreign Exchange Rates"	0.0961105
illegals	0.0948335
Moroccan	0.0943226
Burundian	0.0935165
Cambodian	0.0934914
Algerian	0.0934467
Peruvian	0.0926864
Koreans	0.0926213
Turk	0.0925219
Briton	0.0915325
Hungarian	0.0914216
Namibian	0.0912835
"East Timorese"	0.0908405
"Israeli Arabs"	0.090015
Saudi	0.0895162
Syrian	0.0894282
"South Koreans"	0.0893012
Georgian	0.0892443
migrant	0.0887013
Japanese	0.0876691
Kurds	0.0874818
"Sierra Leonean"	0.0866544
Venezuelan	0.0862858
"North Koreans"	0.0862729
Congolese	0.0858912
"Dhaka Stock Exchange"	0.0858839
Canadian	0.0858398
Tibetans	0.0857797
Zairean	0.0857454
laborer	0.0856415
"North Africans"	0.0855893
Singaporean	0.0850568
Ghanaians	0.0831776
Indian	0.0824953
"Kosovo Serbs"	0.08248
"temporary worker"	0.0818035
OFWs	0.0813818
"Iraqi POWs"	0.0805447
"Sri Lankan"	0.0801685
pilgrim	0.0799694
expatriate	0.0789898
Brazilian	0.0789732
westerner	0.0786625
Malay	0.0784802
African	0.0784741
"Kosovar Albanians"	0.0784198
"military personnel"	0.078398
Chilean	0.0783377
Senegalese	0.0783186
Rwandan	0.0775652
armymen	0.0774715
Palestinian	0.077451
Bosnians	0.0773371
Cuban	0.0770911
Laotian	0.0764925
laid-offs	0.0762327
Beijingers	0.0761267
Frenchmen	0.0746122
businessmen	0.0731546
Romanian	0.0730152
dweller	0.0729588
"coal miner"	0.0722563
"Iranian POWs"	0.072108
soliders	0.0714116
villager	0.0708674
"Central American"	0.0702046
deportee	0.0700362
emigrant	0.0699207
Arab	0.0696786
Belgian	0.0695949
Dominican	0.0694832
Greeks	0.0694747
mainlanders	0.0691701
Ghanaian	0.0691641
refugee	0.0690377
"Kosovo Albanians"	0.068985
Panamanian	0.0687538
enumerators	0.0687086
Australian	0.0676537
asylum-seekers	0.0675594
"Bangladesh Nationalist Party"	0.0674568
Californian	0.0672711
Mongolian	0.0670775
Tamil	0.0670352
Israeli	0.0669227
Yugoslav	0.0664029
"university student"	0.0662627
Albanian	0.0659085
Argentine	0.0658768
Dutchmen	0.0658395
farmworkers	0.0655378
Armenians	0.0654376
civilian	0.0650755
Tunisian	0.0648615
Chinese-Americans	0.0647343
evacuee	0.0645127
crewmembers	0.0636374
"foreign officials"	0.0634601
Austrian	0.0633141
Cuban-Americans	0.0631769
Ecuadorian	0.0623153
Italian	0.0622785
"displaced person"	0.0619588
schoolchildren	0.0619279
Asian	0.0618282
Japanese-Americans	0.061754
job-seekers	0.0616384
"farm worker"	0.0616255
businesspeople	0.0615845
Norwegian	0.0615772
Timorese	0.0615031
"trade unionist"	0.0614467
policemen	0.0612873
"Russian Jews"	0.0612707
Kosovars	0.0612182
immigrant	0.0612043
spacewalks	0.0610769
motorcyclists	0.0610658
servicemen	0.0609556
examinees	0.0606881
"stamp collector"	0.0606799
"civil servant"	0.0603858
pensioner	0.0603603
noncitizens	0.0603483
"motor vehicle"	0.0602309
"news item"	0.0601126
Swiss	0.0600939
Turkish	0.060047
detainee	0.0599924
"Greek Cypriots"	0.0599592
Macedonian	0.0598359
"domestic animal"	0.0597977
"union member"	0.0597547
"polling booth"	0.0596891
"army officer"	0.0596651
"Costa Rican"	0.0595449
orphan	0.0590188
Sikh	0.0589299
"drug addict"	0.058845
skydiver	0.0588183
Uruguayan	0.0587679
Bhutanese	0.0585427
Muslim	0.0584817
"Latin American"	0.0583718
Kashmiris	0.0583488
marcher	0.0582905
"Albanian Kosovars"	0.0582534
Portuguese	0.0582052
"San Franciscans"	0.0581687
Copt	0.0574908
VMs	0.0574296
Atlantans	0.0574194
"senior citizen"	0.0571632
worshipper	0.0568928
Libyan	0.0568898
))
(Bangor (desc 2775.37) (sims
Waterville	0.162393
Lewiston	0.146105
Kennebunkport	0.134839
Montclair	0.124647
"Newport Beach"	0.123738
Falmouth	0.121894
"East Orange"	0.121487
Rockport	0.120113
Brunswick	0.119196
Farmington	0.118458
LAKEWOOD	0.11628
Amarillo	0.115411
Wichita	0.112036
Freeport	0.111842
Plattsburgh	0.110437
"Saratoga Springs"	0.10808
Camden	0.107659
Waterbury	0.106925
Honolulu	0.106831
"Fort Lee"	0.106584
Rockland	0.105879
Akron	0.103204
"West Palm Beach"	0.10284
Kirkland	0.102686
Shreveport	0.101967
Poughkeepsie	0.101923
Westfield	0.101446
Hillsboro	0.100663
Pittsfield	0.100464
"Cherry Hill"	0.0999969
Newark	0.0999221
Englewood	0.0992657
Spokane	0.0989244
Raleigh	0.0985569
Londonderry	0.097988
anchorage	0.0977931
Bellevue	0.0977189
Ithaca	0.0975311
Minneapolis	0.0969689
Encino	0.0969369
Lubbock	0.0963511
Halifax	0.0963482
Boise	0.0963432
"Garden City"	0.0959865
"Fort Lauderdale"	0.0954904
Renton	0.0952858
Tampa	0.0948512
Ensenada	0.0947164
Brownsville	0.0946573
"White Plains"	0.0945382
Marjayoun	0.094356
Princeville	0.09433
Albuquerque	0.0920994
Eureka	0.0917009
Nago	0.091383
"San Juan"	0.0913362
Beaumont	0.0912127
Utica	0.0909237
"Santa Monica"	0.0908623
"New Haven"	0.0902327
Knoxville	0.0901192
"Boynton Beach"	0.0891944
Laramie	0.0884247
Watertown	0.0883969
"West Orange"	0.0883534
Matamoros	0.0883463
"Baton Rouge"	0.0881148
Bridgeport	0.0877673
Lhokseumawe	0.0877351
Derry	0.0876545
BOGOTA	0.0875621
Providence	0.0874781
Morristown	0.0870394
"Palm Beach"	0.0868196
Windham	0.0865402
Tarrytown	0.0860639
"Little Rock"	0.0855374
Port-au-Prince	0.0855357
"Puerto Vallarta"	0.0854197
"Round Rock"	0.0854152
Augusta	0.0853827
"Culver City"	0.0851733
Chattanooga	0.0850955
Harrisburg	0.0849074
Chatsworth	0.0848866
Winnipeg	0.0848737
"Mount Pleasant"	0.0848353
Tacoma	0.0847579
"New Rochelle"	0.0845933
MINEOLA	0.0845695
Bloomfield	0.0844759
"Lake Worth"	0.0842918
Alpharetta	0.0841193
Greenville	0.0840795
"Mill Valley"	0.0837923
"Walnut Creek"	0.0837601
Peshawar	0.0836408
"Twin Cities"	0.0835837
Winston-Salem	0.0835274
Macon	0.083506
Abilene	0.0831136
Portland	0.0830244
"Gaza City"	0.0830207
Fairbanks	0.082969
Aberdeen	0.0828946
Stamford	0.0828536
"Guatemala City"	0.0828087
Plano	0.0826894
Walkerton	0.0826728
Fayetteville	0.082509
Tarzana	0.0822798
Somerville	0.0821901
Louisville	0.0819581
Juneau	0.0814904
Izmit	0.0813292
Birmingham	0.0809807
Redding	0.0809779
Schenectady	0.0809304
Greensboro	0.0808664
TALLAHASSEE	0.0806979
Gulu	0.0806784
Chatham	0.0806253
Nashua	0.0804432
Fairfield	0.0803165
"Rocky Mount"	0.0802105
Longview	0.0801037
"Oklahoma City"	0.0800839
Hempstead	0.0800549
"Ocean City"	0.0797993
Clifton	0.0796707
"San Rafael"	0.0795792
Americus	0.0795784
Huntsville	0.0795699
Odessa	0.0794257
"El Paso"	0.0793528
riverside	0.0793317
Bellingham	0.0793137
Belfast	0.0792871
Wilmington	0.0792365
"Grand Junction"	0.0790593
TRENTON	0.0788727
Laredo	0.0785793
Charlottesville	0.0785189
Murmansk	0.0784018
"Quebec City"	0.0782581
"Daytona Beach"	0.0782019
Woodbridge	0.0780462
"Van Nuys"	0.0780262
"Key West"	0.0777573
"Des Moines"	0.0776753
"Palm Beach Gardens"	0.077479
"Paradise Valley"	0.077348
Winslow	0.0773199
Walpole	0.0772914
Albany	0.0769754
Vilnius	0.0768701
Missoula	0.0768444
Reseda	0.0768152
"Woodland Hills"	0.0768078
Urosevac	0.0767462
Memphis	0.0765581
"Miami Beach"	0.0762395
Braintree	0.0762369
"Thousand Oaks"	0.0761569
Gloucester	0.0761509
Gainesville	0.0754731
Sausalito	0.0754304
"Simi Valley"	0.0754041
Harlingen	0.0753459
Woburn	0.0752018
"Ann Arbor"	0.0751522
Kettering	0.0750856
Yonkers	0.0749683
"Fort Worth"	0.0749629
Eilat	0.0749433
"East Los Angeles"	0.0747338
Krakow	0.0746718
Hartford	0.0746578
Savannah	0.0744073
Dublin	0.074213
"Boca Raton"	0.0741819
Flagstaff	0.0741237
bethel	0.0740853
Manchester	0.0740331
Duluth	0.074004
"South San Francisco"	0.0738236
"Santa Barbara"	0.073769
CANCUN	0.0737623
Guadalajara	0.073706
Surrey	0.0733933
Greenwich	0.0733916
Xenia	0.0732372
Charleston	0.0732174
Warwick	0.073163
LaGuardia	0.0731204
Orlando	0.0729758
Tucson	0.0729694
"Hollywood Hills"	0.0729151
Malaga	0.0727846
"Studio City"	0.0727799
))
(Bangui (desc 3051.1) (sims
Chisinau	0.201313
Dushanbe	0.174222
Vladikavkaz	0.172849
Moroni	0.169054
Bamako	0.164357
Brazzaville	0.159408
Vilnius	0.15456
Bishkek	0.153667
"Port Moresby"	0.144342
Tbilisi	0.144341
Bissau	0.141433
Asuncion	0.14068
Gaborone	0.137966
Bujumbura	0.137815
Windhoek	0.13766
Monrovia	0.136168
Podgorica	0.135354
Tashkent	0.133006
Makhachkala	0.131045
Yerevan	0.130931
Conakry	0.129558
Astana	0.128414
Mbabane	0.12664
Srinagar	0.126512
Suva	0.125145
Honiara	0.124868
Asmara	0.123988
Ambon	0.123288
Lome	0.123104
Peshawar	0.123033
Ljubljana	0.122935
Kinshasa	0.121176
Tallinn	0.120083
Maseru	0.118462
Kupang	0.117943
Algiers	0.117885
Abidjan	0.11778
MANAMA	0.11607
Skopje	0.11539
Accra	0.11467
Jayapura	0.114404
PATNA	0.114321
Kisangani	0.113792
Minsk	0.112703
Lhokseumawe	0.11161
Freetown	0.111532
Libreville	0.109756
Rabat	0.108484
Manado	0.107853
Kigali	0.106509
Quetta	0.106198
"La Paz"	0.106064
Dakar	0.105602
"Guatemala City"	0.10501
Port-au-Prince	0.104708
Dili	0.104611
Ashkhabad	0.10444
Quito	0.104399
TEGUCIGALPA	0.103565
"South Lebanon"	0.103136
Belfast	0.103025
Muscat	0.102299
Sarajevo	0.101872
BRATISLAVA	0.100584
Mogadishu	0.100538
"San Salvador"	0.0995905
Ibadan	0.0990953
Riyadh	0.0981838
Pristina	0.0981766
Yaounde	0.0980679
"Ulan Bator"	0.0979802
"Santo Domingo"	0.0964874
Tripoli	0.095877
Bern	0.0949085
Hyderabad	0.0946851
NICOSIA	0.0945593
"Albanian capital"	0.09454
Grozny	0.0940796
Kabul	0.0937362
ZAGREB	0.0932408
CARACAS	0.0929857
Managua	0.0927635
Doha	0.092358
Reykjavik	0.0919178
SANAA	0.0916135
Taloqan	0.0916014
Kuito	0.0906011
Londonderry	0.0903863
Vientiane	0.0902068
Chennai	0.0894207
Lucknow	0.0880854
Baku	0.0879134
Nairobi	0.0866145
Santiago	0.0857521
Khartoum	0.0856369
BOGOTA	0.0855274
Luanda	0.0854906
Shiraz	0.085122
"Addis Ababa"	0.0851018
Merida	0.0849333
Lusaka	0.0843768
Ouagadougou	0.084202
KAMPALA	0.0837954
Lubumbashi	0.0829768
Berne	0.0826525
Yinchuan	0.0826043
TIRANA	0.0824376
Guinea-Bissau	0.0818026
DHAKA	0.0817792
Abuja	0.0817304
HARARE	0.0814226
Pretoria	0.0812945
"Phnom Penh"	0.081228
Jakarta	0.0811091
Uvira	0.0799412
Gulu	0.0797854
"Central African Republic"	0.0789332
Kandy	0.0788353
COLOMBO	0.0785424
Orahovac	0.0785253
Huambo	0.0783358
Hebron	0.0780404
Lahore	0.0775281
Solomons	0.0774379
Gudermes	0.0773322
Makeni	0.077187
Goma	0.0771173
BLANTYRE	0.0767461
Islamabad	0.0766301
"North Caucasus"	0.0765602
Amman	0.076388
"Democratic Republic"	0.076346
BRASILIA	0.0763343
Brisbane	0.0758022
Beirut	0.0756756
Medan	0.0755947
BUCHAREST	0.0755729
TUNIS	0.0754414
Oslo	0.0749785
KIEV	0.0748823
Lima	0.074159
Katmandu	0.073858
MAPUTO	0.072897
"Dar es Salaam"	0.0728637
Kismayu	0.0725445
"Democratic Republic of the Congo"	0.0721887
CHENGDU	0.0721822
DRC	0.071675
Charikar	0.0716503
Dublin	0.0716494
"Liberian capital"	0.0712109
Delhi	0.0708729
Alma-Ata	0.0708121
Bengkulu	0.070485
Hohhot	0.0692632
Jalalabad	0.0691835
Kaduna	0.0690913
PYONGYANG	0.0688813
Rangoon	0.0688304
"Guinea Bissau"	0.0687667
Prague	0.0685721
Wellington	0.0685702
Kuching	0.0685636
Lhasa	0.0684485
Karachi	0.068126
Nabatiyeh	0.0678864
Almaty	0.0678645
SOFIA	0.0678124
Jammu	0.0675527
Bangalore	0.0674801
Riga	0.0670597
Jeddah	0.0669619
HANOI	0.0667218
YANGON	0.0666892
Havana	0.0665163
Urosevac	0.0664734
Ndola	0.0663135
Maluku	0.0659771
Urumqi	0.0658589
"North Mogadishu"	0.0654329
Medellin	0.0654284
"ALMA ATA"	0.0650792
"Kuala Lumpur"	0.0650315
Durres	0.0646015
Crete	0.0644339
"Buenos Aires"	0.0643616
Marjayoun	0.0643416
Damascus	0.0640092
"Kosovska Mitrovica"	0.0639511
Cali	0.0638493
"Bekaa Valley"	0.0632628
Baidoa	0.0632557
"Central Africa"	0.063233
"Persian Gulf"	0.0631672
Rafah	0.0627994
"Abu Dhabi"	0.0625225
Sana	0.0624382
Mashhad	0.0624064
Sidon	0.0621174
STOCKHOLM	0.061857
))
(Banharn (desc 3059.45) (sims
"Prime Minister Banharn Silpa-Archa"	0.30996
Chavalit	0.289981
Deuba	0.240575
"Chavalit Yongchaiyudh"	0.223865
Hashimoto	0.219099
Chuan	0.212989
Phieu	0.211853
Lipponen	0.208829
"de Charette"	0.203452
Gujral	0.201994
Santer	0.201424
Vasile	0.199326
Hasina	0.198792
Constantinescu	0.197526
Gowda	0.194593
Stoyanov	0.190659
Goh	0.185909
Rifkind	0.185438
Koirala	0.185298
Nujoma	0.185037
Kabariti	0.18382
Guterres	0.183699
Velayati	0.183552
Ikeda	0.183199
Chretien	0.181162
Ganzouri	0.178355
Nazarbayev	0.177812
Granic	0.176473
"Chuan Leekpai"	0.17519
Murayama	0.17497
Pustovoitenko	0.173409
"Than Shwe"	0.172613
Wolfensohn	0.170728
Komura	0.170687
Aznar	0.170108
Dehaene	0.169377
Akayev	0.168702
Meles	0.168046
Moratinos	0.165839
"Chief Executive Tung Chee-hwa"	0.165829
Ecevit	0.164694
Juncker	0.163791
Erbakan	0.163673
Mkapa	0.163173
Surin	0.161957
"Vo Van Kiet"	0.161799
Kok	0.161602
Azad	0.160897
Majali	0.160128
Hariri	0.1601
"Lee Hsien Loong"	0.160091
Bizimungu	0.15988
Narayanan	0.158361
Buzek	0.157327
"Paul Keating"	0.157048
Khaddam	0.155534
Diouf	0.154876
Niyazov	0.153447
"De Soto"	0.15221
"Maung Aye"	0.152056
"Ryutaro Hashimoto"	0.151015
Luong	0.150946
Simitis	0.150273
Muoi	0.150026
Jayakumar	0.149966
Menem	0.14943
Frei	0.148974
"Krishna Prasad Bhattarai"	0.148896
Khai	0.148262
Shevardnadze	0.147863
Kwasniewski	0.147838
Zeroual	0.147833
Clerides	0.147307
Ruehe	0.146927
Cem	0.146918
Qiao	0.146783
Chissano	0.146783
Leghari	0.14654
Hrawi	0.146149
Camdessus	0.146123
Kostov	0.145974
Klima	0.145834
Samper	0.145176
Scalfaro	0.144998
Karimov	0.14499
Muluzi	0.144558
Kumaratunga	0.143108
Ikimi	0.142835
"Deve Gowda"	0.142625
Stroyev	0.142246
Demirel	0.141975
Ahern	0.141167
Prodi	0.141083
Chiluba	0.140748
"Antonio Guterres"	0.140603
Scharping	0.14045
Kuchma	0.140108
"King Abdullah II"	0.140092
Nano	0.139974
"Necmettin Erbakan"	0.139952
LeBlanc	0.139945
Juppe	0.139773
Lukashenko	0.139513
"Sher Bahadur Deuba"	0.139364
"Goran Persson"	0.139354
Abdel-Meguid	0.139163
Ahtisaari	0.1391
Klestil	0.138989
Shipley	0.138582
Jospin	0.137589
"Wlodzimierz Cimoszewicz"	0.137418
Thapa	0.136813
Rabbani	0.136604
"Bashkim Fino"	0.136604
Rakhmonov	0.136511
Bolger	0.136148
Dini	0.135987
Kharrazi	0.135564
Kasoulides	0.135269
Ciampi	0.13501
Tarrin	0.13446
Nzo	0.134336
"Mesut Yilmaz"	0.134325
Chand	0.134251
"Bill Skate"	0.134121
Orban	0.133924
Aleman	0.133792
Cardoso	0.133791
Pangalos	0.13364
"Pascoal Mocumbi"	0.132635
Masire	0.132472
"Noboru Takeshita"	0.132385
al-Hariri	0.132178
Bedie	0.13215
Vajpayee	0.132059
Pickering	0.131962
Ruggiero	0.131871
Bhutto	0.131664
Museveni	0.131575
"President Lee Teng-hui"	0.130755
Obuchi	0.130674
Koo	0.130363
Yilmaz	0.129698
Rafsanjani	0.128881
Bashir	0.128852
Tung	0.128692
Brundtland	0.128374
Waigel	0.1283
Brahimi	0.127832
"Prime Minister Kamal El-Ganzouri"	0.127551
"Wim Kok"	0.127289
Axworthy	0.127241
Vollebaek	0.127065
Rawabdeh	0.127045
Papandreou	0.126642
el-Ganzouri	0.126516
"Romano Prodi"	0.126361
Rao	0.126182
"Goh Chok Tong"	0.126129
Mahathir	0.126117
"Tomiichi Murayama"	0.126033
"H.D Deve Gowda"	0.125976
Zuma	0.125584
"John Major"	0.125334
Abubakar	0.125272
"Jerzy Buzek"	0.125257
Bhattarai	0.124787
D'Alema	0.124657
Stepashin	0.124639
Herzog	0.124416
Weizman	0.124336
"Radu Vasile"	0.124284
"Benazir Bhutto"	0.123758
Tsang	0.123313
"Yoshiro Mori"	0.123281
"Jean Chretien"	0.123133
Soeharto	0.123082
Siazon	0.123082
"Fatos Nano"	0.123066
Zhu	0.122517
Ogata	0.122197
Zedillo	0.122176
Daley	0.122121
Meguid	0.121923
Sharif	0.121696
Xiong	0.121247
Chaudhry	0.121089
Brittan	0.120922
Obasanjo	0.120646
"Atef Obeid"	0.12048
Buyoya	0.120091
"Valery Pustovoitenko"	0.119943
Arbour	0.119891
"Secretary General Esmat Abdel-Meguid"	0.119727
Aliyev	0.119386
Yadav	0.119224
"Costas Simitis"	0.119202
Shareh	0.119179
Solana	0.118952
Alatas	0.118899
Persson	0.118868
"I.K Gujral"	0.118852
Pastrana	0.118702
Mori	0.118676
Indyk	0.118573
Advani	0.118539
Hu	0.11838
Saleh	0.118311
Peres	0.118271
"Paavo Lipponen"	0.117856
Luo	0.117837
Mandela	0.11747
"Binyamin Netanyahu"	0.117195
"Abdul Salam Majali"	0.117168
"Inder Kumar Gujral"	0.117151
Tian	0.117083
"Li Peng"	0.11691
"Amnuay Virawan"	0.116848
Seleznyov	0.116819
"Tim Fischer"	0.116663
Patasse	0.116469
Ramos	0.116339
Rasmussen	0.115895
Mbeki	0.115787
Vedrine	0.115711
"Jordanian King Abdullah Bin Hussein"	0.11563
Kromah	0.115601
"King Sihanouk"	0.115577
Insulza	0.11543
Holl	0.115295
Moussa	0.115246
"Rafik Hariri"	0.114968
Aventajado	0.11462
Sampaio	0.11434
Gaddafi	0.114034
"Lionel Jospin"	0.113777
Yandarbiyev	0.113562
Alarcon	0.113501
"Frederick Sumaye"	0.112935
Chirac	0.112581
Benazir	0.112498
Tudjman	0.112329
"Lee Kuan Yew"	0.112325
"Atal Behari Vajpayee"	0.112287
"Keizo Obuchi"	0.112209
Kato	0.11214
Boutros-Ghali	0.111975
Hoss	0.111895
Boueiz	0.111712
Jovanovic	0.111404
Imperatori	0.110817
"King Birendra"	0.110768
Primakov	0.110766
al-Sahaf	0.110725
"Michel Camdessus"	0.110622
"Lokendra Bahadur Chand"	0.110397
"Tansu Ciller"	0.110368
Glickman	0.110351
Sanguinetti	0.110318
Estrada	0.110192
"Jose Maria Aznar"	0.110041
"Abidine Ben Ali"	0.10982
"Ung Huot"	0.109807
"John Bruton"	0.109474
"Phan Van Khai"	0.109371
Izetbegovic	0.109239
Hanley	0.108963
Musharraf	0.108513
Schuessel	0.108491
"Sheikh Hasina"	0.108449
Zou	0.108387
Rossello	0.108331
Kesri	0.108221
"Helen Clark"	0.108124
Garang	0.107722
"Sheikh Saad"	0.107638
Sumaye	0.107364
Ivanov	0.107046
"President Kim Young-sam"	0.106652
Modise	0.106582
"Vaclav Klaus"	0.106527
Schroeder	0.106506
"P.V Narasimha Rao"	0.106241
Kabbah	0.106186
Kang	0.106112
Sergeyev	0.106003
"Atal Bihari Vajpayee"	0.105802
"Pandeli Majko"	0.105542
Rua	0.105441
Mahuad	0.105427
Azizah	0.105367
Bruton	0.10529
Talbott	0.104979
Vieira	0.104948
Rodionov	0.104564
"Victor Chernomyrdin"	0.104518
Soares	0.104082
Berisha	0.103723
Amato	0.103663
"King Abdullah Bin Hussein"	0.103521
Aziz	0.103339
Barzani	0.103319
Kiriyenko	0.103315
Qian	0.103222
"Glenn Hoddle"	0.10301
Havel	0.102977
"Milos Zeman"	0.1029
"Ivan Kostov"	0.102842
Marulanda	0.102767
"Fayez Tarawneh"	0.102655
Downer	0.10251
"Defense William Cohen"	0.102508
"President Kim Dae-jung"	0.102417
"Mahmoud Zouebi"	0.102358
Prueher	0.102241
Samaranch	0.102038
Mugabe	0.101893
Vogts	0.101846
Gurirab	0.101751
Ivester	0.101731
Wahid	0.101727
Rau	0.101521
"Sergei Kiriyenko"	0.101452
"Mikhail Kasyanov"	0.101352
Kagame	0.101232
Habibie	0.101228
Chung	0.101026
"Bertie Ahern"	0.101026
Maskhadov	0.100876
Hoddle	0.100759
Shahak	0.100599
Moi	0.100593
"Meles Zenawi"	0.100436
Al-Sabah	0.100387
Mobutu	0.100147
Sihanouk	0.100033
Mordechai	0.10002
))
(banishment (desc 5141.3) (sims
disqualification	0.0777722
hiatus	0.0743979
sabbatical	0.0689279
expulsion	0.066776
Ostracism	0.0621897
demotion	0.056865
"prison term"	0.0546035
phaseout	0.054229
"presidential term"	0.0528115
"leave of absence"	0.052009
"prison sentence"	0.0513473
withdrawl	0.0512571
deportation	0.0512534
stayaway	0.0508735
revocation	0.0508463
exclusion	0.0507531
reinstatement	0.0500396
"term of office"	0.0498114
ejection	0.0497854
feeler	0.0480434
absolution	0.0480151
relegation	0.0463225
streak.	0.0445698
postponement	0.0435219
probation	0.0432902
"market correction"	0.0428725
"management change"	0.0428417
insolvency	0.0423171
sojourn	0.0420264
"change of mind"	0.0419427
belt-tightening	0.041831
estrangement	0.0418044
judgeship	0.04168
confiscation	0.0414644
moratorium	0.0413632
imprisonment	0.0411462
"financial loss"	0.041098
stoppage	0.0404501
"personal appeal"	0.0404129
"job offer"	0.040397
"statute of limitations"	0.0401319
"tour of duty"	0.0400837
))
("Banja Luka" (desc 5638.69) (sims
Tuzla	0.215606
Mostar	0.176562
Mazar-i-Sharif	0.153542
Kandahar	0.149262
Jalalabad	0.144616
Dushanbe	0.143924
Juba	0.142786
Murmansk	0.142101
Lubumbashi	0.141672
Brcko	0.139088
Sarajevo	0.138299
Kuching	0.134211
Ramallah	0.132788
Skopje	0.132108
Gaborone	0.131751
Pailin	0.131375
Pretoria	0.130957
Almaty	0.129261
Maseru	0.128426
Lucknow	0.125256
Vilnius	0.124349
Windhoek	0.124211
Taloqan	0.124208
Peshawar	0.120611
Makeni	0.119664
Mbabane	0.118865
Tripoli	0.118671
Lahore	0.118443
Tbilisi	0.118373
Chennai	0.117768
ZAGREB	0.117151
Goma	0.116953
Pale	0.116933
Srinagar	0.115896
Kisumu	0.11586
MANAMA	0.115806
Nagoya	0.115744
"Cape Town"	0.114425
Mazar-e-Sharif	0.113807
Bamiyan	0.113716
Baalbek	0.113483
Jeddah	0.112791
Luanda	0.112341
Andulo	0.112081
Ndola	0.11163
Hyderabad	0.110772
Pristina	0.110656
Larnaca	0.110024
Astana	0.110015
Davao	0.109991
Duesseldorf	0.10938
Vladikavkaz	0.108745
Beersheba	0.108507
"Nigerian capital"	0.108492
"Novi Sad"	0.108347
Nablus	0.108178
Gudermes	0.107757
Belfast	0.107133
BLANTYRE	0.106972
Riyadh	0.10675
Warri	0.106336
Abuja	0.106147
Catania	0.105911
Kailahun	0.105617
Mombasa	0.105506
Strasbourg	0.105468
Ljubljana	0.105408
Kigali	0.105237
Baku	0.104943
"Gaza City"	0.104735
Yogyakarta	0.104468
Vientiane	0.103952
Lome	0.103793
Tashkent	0.103568
Arusha	0.10335
Dili	0.103279
"Mazari Sharif"	0.102918
Beira	0.102916
Durres	0.102558
"Tel Aviv"	0.10248
PEC	0.10211
Minsk	0.102017
Izmir	0.101905
Cebu	0.101829
Bulawayo	0.101793
Gulu	0.10145
Aqaba	0.101397
Haifa	0.101225
Tachilek	0.100066
MAPUTO	0.0996601
Bangalore	0.099638
Jayapura	0.0995549
Kizlyar	0.0992332
Uvira	0.0989897
NIS	0.0989342
Malisevo	0.0984622
Makhachkala	0.0984281
Dublin	0.0983775
PATNA	0.0983517
Guayaquil	0.0983395
Atambua	0.0979202
Accra	0.0976568
Surabaya	0.0976211
Multan	0.097397
KIEV	0.0973475
Quetta	0.0970126
Baotou	0.0969026
Taba	0.0967733
"Santo Domingo"	0.0965202
Lausanne	0.0958179
Jericho	0.0953862
Vladivostok	0.0951124
Reykjavik	0.0949505
BRASILIA	0.0946744
Karachi	0.094395
Osaka	0.0942674
Krakow	0.0942204
Entebbe	0.0941292
Podgorica	0.0940818
Krasnoyarsk	0.0936789
Kuito	0.093542
Matadi	0.0933556
Christchurch	0.0932823
Marjayoun	0.0929997
"Anlong Veng"	0.0929127
Rafah	0.0928327
"CHIANG MAI"	0.0925933
Vukovar	0.0923192
"Port Elizabeth"	0.0922554
Alexandria	0.0922163
Chisinau	0.0921716
SANAA	0.0921323
"San Pedro Sula"	0.091955
Bukavu	0.0913637
Bern	0.0911993
Muscat	0.0906401
Bailundo	0.0905942
Medellin	0.0905505
Algiers	0.0905061
Cartagena	0.0904684
Sevastopol	0.0903895
Lusaka	0.0899487
Antalya	0.0898789
Abidjan	0.0897826
LISBON	0.0895896
Ensenada	0.0895484
Yerevan	0.0894159
Manado	0.0892325
Orahovac	0.089181
Ismailia	0.0890919
Kandy	0.0890448
Madras	0.0888671
Rabat	0.0888536
Dubrovnik	0.0888463
Dodoma	0.0886551
Asmara	0.088545
CHENGDU	0.0883675
Yekaterinburg	0.0881937
Ambon	0.0881035
TUNIS	0.0880152
Naperville	0.0878482
Argun	0.0875492
Moshi	0.0872269
Cairns	0.0869766
BRATISLAVA	0.0866815
Posoltega	0.0865629
Bishkek	0.0864922
"Addis Ababa"	0.0863191
Istanbul	0.086251
Ashkhabad	0.0862368
Mashhad	0.0861676
Bujumbura	0.0861226
Merida	0.0859728
"Pulau Pinang"	0.0857945
Nashua	0.0857815
Sirte	0.0857569
Islamabad	0.0856723
Monrovia	0.0856626
Limassol	0.0851434
Matamoros	0.0850887
Lagos	0.0849131
"Kuala Lumpur"	0.0846833
Khabarovsk	0.0844075
Lhokseumawe	0.0842597
Naples	0.0841322
BELGRADE	0.0841164
"Chiang Rai"	0.0839727
CARACAS	0.083943
TEGUCIGALPA	0.0835991
Junik	0.0835133
Kano	0.0834875
Nakuru	0.083386
Xian	0.0833244
Weimar	0.0832655
Cyberjaya	0.0831909
Munich	0.083185
Guadalajara	0.0830483
Bonn	0.0830439
BUCHAREST	0.0830237
TIRANA	0.0829413
))
(banjo (desc 4231.32) (sims
mandolin	0.310529
"steel guitar"	0.264464
fiddle	0.217024
harmonica	0.210685
clarinet	0.200894
"acoustic guitar"	0.1905
guitar	0.179966
bagpipe	0.175418
saxophone	0.166622
harpsichord	0.160835
Flute	0.158943
dulcimer	0.157339
harp	0.156842
violin	0.150304
accordion	0.142318
Sax	0.137713
trombone	0.134433
oboe	0.132993
lute	0.12854
"electric guitar"	0.126624
bluegrass	0.108589
"French horn"	0.106381
trumpet	0.105954
cello	0.104242
percussion	0.0995635
piano	0.0924456
tuba	0.0923793
Bass	0.0911316
drum	0.0898058
Viola	0.0879767
Tabla	0.0850061
synthesizers	0.076441
Marimba	0.0753411
honky-tonk	0.0683625
merengue	0.0679862
keyboard	0.0660787
synthesizer	0.0654631
woodwind	0.0638412
klezmer	0.0611524
"brass band"	0.0608459
cymbal	0.058679
vocals	0.0557215
"Amazing Grace"	0.0552073
acoustic	0.0549011
Bongo	0.0538278
SKA	0.0520236
"big band"	0.0512295
punchy	0.0507632
"Jimi Hendrix"	0.0502535
cappella	0.0501347
"second fiddle"	0.0496025
"Tin Pan Alley"	0.0480929
mariachi	0.0479027
croquet	0.0478275
"pipe organ"	0.0477772
screeching	0.0473804
Tex-Mex	0.0471944
Hendrix	0.0465656
Lullaby	0.0463314
bluesy	0.0461404
"guitar player"	0.0461364
Motown	0.044921
"Phenix City"	0.0441035
"audio CD"	0.0436075
"Van Halen"	0.0435105
"string quartet"	0.0432476
"professional baseball"	0.0431636
"church bell"	0.0430351
"first CD"	0.0428217
"R&AMP;B"	0.0423584
"rock and roll"	0.0413373
kitschy	0.0410451
salsa	0.041041
"Patsy Cline"	0.0407121
Scrooge	0.0407097
libero	0.0402239
"first nine"	0.040116
Phish	0.0400126
))
(bank (desc 291202) (sims
"commercial bank"	0.252624
company	0.232661
"financial institution"	0.232654
firm	0.217932
corporation	0.177423
"central bank"	0.172643
airline	0.172231
institution	0.166796
agency	0.164889
enterprise	0.161511
"insurance company"	0.160135
lender	0.152448
insurer	0.149753
business	0.149227
fund	0.148198
sector	0.147727
investor	0.147068
brokerage	0.146584
government	0.144537
"brokerage firm"	0.141135
organization	0.140448
industry	0.136742
manufacturer	0.136061
"banking system"	0.134837
retailer	0.131124
"World Bank"	0.129774
branch	0.126396
market	0.125018
IMF	0.123538
carrier	0.122317
employer	0.12192
group	0.12178
utility	0.120944
provider	0.120566
hospital	0.119139
department	0.118614
country	0.118593
Banks	0.118227
university	0.117961
broker	0.117533
banking	0.116742
creditor	0.116704
state	0.116289
ministry	0.115502
conglomerate	0.114677
subsidiary	0.114521
"federal government"	0.113609
office	0.112996
"International Monetary Fund"	0.112326
supplier	0.112082
consumer	0.112054
"phone company"	0.111795
exporter	0.11157
dealer	0.111472
operator	0.110853
economy	0.110852
network	0.110503
maker	0.110116
"Deutsche Bank"	0.109966
customer	0.109575
"mutual fund"	0.108897
"local government"	0.108841
school	0.10858
system	0.108462
automakers	0.108222
authority	0.108009
entity	0.107789
store	0.106905
factory	0.106677
individual	0.106599
investment	0.106313
loan	0.106168
"finance company"	0.10597
unit	0.105593
"travel agency"	0.104814
giant	0.104176
HMO	0.103264
farmer	0.102618
Citibank	0.1022
nation	0.101722
"brokerage house"	0.101666
project	0.101487
city	0.100612
borrower	0.100595
stock	0.100442
"pension fund"	0.100225
people	0.0998252
institute	0.0996774
service	0.0994822
"stock exchange"	0.0994218
ADB	0.0993812
treasury	0.0990645
union	0.0987878
account	0.0982001
official	0.0981544
operation	0.0978818
"Bank of Japan"	0.0978336
"telephone company"	0.0975348
businessmen	0.0963972
regulator	0.0960813
Microsoft	0.0959829
asset	0.0959564
"school district"	0.0954707
employee	0.0951644
trader	0.094823
association	0.094658
"Bank of New York"	0.0946016
banker	0.0941796
program	0.094104
developer	0.0939677
contractor	0.0939294
"Bank of America"	0.0939187
center	0.0938566
community	0.0938448
site	0.0935083
"stock market"	0.0933586
chain	0.093085
military	0.0929887
client	0.0928885
property	0.0927276
buyer	0.0924689
party	0.092238
currency	0.0922365
plant	0.0921592
facility	0.0919678
station	0.0917735
cooperative	0.0915252
donor	0.0912434
venture	0.0911718
club	0.0910072
producer	0.0909266
"joint venture"	0.0907666
worker	0.0905747
museum	0.0905172
"political party"	0.0903249
automaker	0.0902595
commission	0.0902562
embassy	0.0901342
hotel	0.0900944
administration	0.0897731
"state enterprise"	0.089742
shop	0.0897345
importer	0.0894176
"post office"	0.0890984
foundation	0.0889843
Boeing	0.0888935
committee	0.0885589
citizen	0.0881232
airport	0.0877488
police	0.0876366
"banking industry"	0.0870638
China	0.0870575
"Bankers Trust"	0.0866924
area	0.0865911
"bank account"	0.0865068
region	0.0863469
supermarket	0.0862943
Russia	0.086187
newspaper	0.0860772
"holding company"	0.0860561
consortium	0.0858332
bond	0.0856656
resident	0.0856226
partner	0.085612
shareholder	0.0855556
restaurant	0.0855475
doctor	0.085464
merchant	0.0850749
side	0.0848815
owner	0.0848344
BankAmerica	0.084753
debt	0.0846878
"department store"	0.0845365
Casino	0.0843985
user	0.0843375
"Merrill Lynch"	0.0842571
Congress	0.08418
outlet	0.0840625
"Morgan Stanley"	0.0840297
"Asian Development Bank"	0.0840021
court	0.083886
team	0.083692
charity	0.0836129
"United States"	0.0833934
security	0.0833693
American	0.0832671
member	0.0831882
"shipping company"	0.0831236
IBM	0.0830325
taxpayer	0.0830309
competitor	0.0829923
management	0.0829499
Council	0.0829159
BankBoston	0.0825151
church	0.0823166
GM	0.0820331
"Bell Atlantic"	0.081841
library	0.0816423
distributor	0.0815945
"power company"	0.0815764
))
("bank account" (desc 28808.7) (sims
account	0.169794
"checking account"	0.153976
"savings account"	0.141973
"trust fund"	0.131655
coffer	0.118637
fund	0.110982
"bank deposit"	0.105431
asset	0.101848
"retirement account"	0.100912
deposit	0.0973957
"mutual fund"	0.0961314
"pension fund"	0.0922573
"brokerage account"	0.0919784
"credit card"	0.0915151
saving	0.0872797
treasury	0.0872322
bank	0.0865068
annuity	0.0846846
"deposit box"	0.0803795
pension	0.0786771
cash	0.0779622
loan	0.0764161
equity	0.0760461
portfolio	0.0755667
pocket	0.0751459
mortgage	0.0746162
payment	0.0744537
transaction	0.0741592
paycheck	0.0732532
bond	0.0718395
money	0.0712016
property	0.070956
escrow	0.0703847
archive	0.0696216
wallet	0.0690803
"certificate of deposit"	0.0690677
checkbook	0.0686927
purse	0.0684696
debt	0.0684658
"life insurance"	0.0683085
"traveler's check"	0.0675556
endowment	0.0673852
"investment fund"	0.0672292
atm	0.0671725
"Social Security number"	0.0662307
"driver's license"	0.0660986
salary	0.0659791
trust	0.0655102
holding	0.0653976
insurance	0.0650452
"Treasury bill"	0.0641948
investment	0.0641605
wealth	0.0640164
"savings bond"	0.0631187
donation	0.0630291
fee	0.0627117
"slush fund"	0.0622173
dividend	0.0620609
"real estate"	0.0616065
"insurance company"	0.0615584
income	0.0610234
"insurance policy"	0.0609813
IRA	0.0609498
kickback	0.0606248
passport	0.060285
foundations	0.0592675
banking	0.0589865
estate	0.0586696
"war chest"	0.058323
reserve	0.0580021
locker	0.0576243
"legal fee"	0.0573296
bonus	0.0571941
"tax break"	0.0568114
contribution	0.0566405
tax	0.0557146
"automated teller machine"	0.0557013
proceeds	0.0556592
"birth certificate"	0.0555263
"bank statement"	0.0552694
inventory	0.0550852
revenue	0.0548174
"retirement plan"	0.0548151
"insurance claim"	0.0547618
"foreign exchange"	0.0547423
"credit history"	0.0545919
password	0.0545293
card	0.0545146
financing	0.0541795
subsidy	0.0539459
budget	0.0537612
document	0.0537326
"telephone number"	0.0535503
receipt	0.0534916
"export credit"	0.0534165
license	0.0531043
earnings	0.0529135
royalty	0.0529022
"home mortgage"	0.0528787
wage	0.0522486
refund	0.0521801
"bond issue"	0.052105
"stock market"	0.0520625
corporation	0.0519529
vault	0.051619
profit	0.0515543
database	0.0515448
"commercial bank"	0.0514436
"stock option"	0.0513428
"financial institution"	0.051075
charity	0.0510489
restitution	0.050857
insurer	0.0508381
"license plate"	0.0503802
pocketbook	0.0501753
"income tax"	0.04994
"financial aid"	0.0498158
expense	0.0498127
rent	0.0497585
"Roth IRA"	0.0497432
bribe	0.0497302
compensation	0.0495115
"tax return"	0.0494959
"medical record"	0.0494624
apartment	0.0488574
mailbox	0.0488267
dealings	0.0487945
"tax deduction"	0.0487374
payroll	0.0486176
CD	0.0484865
identity	0.0483981
"Bank of New York"	0.0483736
"cash payment"	0.0483277
"money market"	0.0483162
Ransom	0.0482348
kitty	0.0482161
"tax credit"	0.0481425
liability	0.0481129
institution	0.0479894
"banking system"	0.0479643
sum	0.0478628
"venture capital"	0.0478525
"securities market"	0.0478197
scholarship	0.0477993
"insurance firm"	0.0476974
freezer	0.0475787
Website	0.047316
certificate	0.0473071
"property tax"	0.0472978
stockpile	0.0472289
"credit report"	0.0469015
"gross income"	0.0467741
scheme	0.0467494
cache	0.0465921
currency	0.0464301
"medical bill"	0.0464207
Warehouse	0.0463055
funding	0.0460971
location	0.0459584
"computer file"	0.0459462
"money laundering"	0.0458087
jewelry	0.0457977
bag	0.0456993
donor	0.045691
branch	0.045683
PACs	0.0454917
drawer	0.045488
pipe	0.0454531
equipment	0.045193
"tax revenue"	0.0451851
"identity card"	0.045134
suitcase	0.0450622
"personal computer"	0.0449739
"balance sheet"	0.0449528
"Treasury bond"	0.0448148
"phone number"	0.0446072
settlement	0.0445346
custody	0.0444571
"investment portfolio"	0.0444016
"phone line"	0.0442798
firearm	0.0440692
"food stamp"	0.0439721
foundation	0.0438552
"law practice"	0.0438202
"social security"	0.0437205
"travel agency"	0.0437183
"drug trade"	0.0436742
dossier	0.0436521
container	0.0436328
entity	0.0435573
circulation	0.0435363
borrowing	0.0435139
"personal property"	0.0434971
"tax bill"	0.0432737
gift	0.0431218
invoice	0.043069
identification	0.0429724
"phone bill"	0.0429523
"foster home"	0.0429475
"public school"	0.0429311
))
("Bank Bali" (desc 2287.41) (sims
Clinton-Lewinsky	0.203007
Iran-contra	0.128994
Mabetex	0.120007
"Belmont Learning Center"	0.0906428
"Rampart Division"	0.0850712
ICBC	0.0845794
Sumitomo	0.083922
"Bangkok Bank"	0.0828085
Piggie	0.0786843
"Long-Term Credit Bank"	0.0769491
"Harvard Pilgrim"	0.0754089
BOC	0.0731598
LTCB	0.0716926
"Monica S. Lewinsky"	0.0690596
"Bank of New York"	0.0683965
Liggett	0.0679652
"Food Lion"	0.0675972
"Industrial and Commercial Bank of China"	0.0662718
Rothko	0.0657288
CCB	0.0650344
"slush fund"	0.0644003
Yukos	0.064397
Bosman	0.0640327
Dreyfus	0.0630718
Keating	0.062823
Cargill	0.0619067
Manbar	0.061802
Daiwa	0.060544
"Nippon Credit"	0.0588134
"American Family Publishers"	0.0585401
"Bank of Japan Ltd."	0.0569546
rampart	0.0560114
Festina	0.0555204
"China Construction Bank"	0.0555203
"insider trading"	0.0550678
unfolding	0.0550491
"Daewoo Group"	0.0546774
"A.R Baron"	0.0535327
"penny stock"	0.0528301
"U.S. Treasury"	0.0527064
"Gennifer Flowers"	0.0521566
SDB	0.0517104
"Ben Johnson"	0.0516662
"Pratt &AMP; Whitney"	0.051595
"European Bank for Reconstruction"	0.051429
resistence	0.0511086
Railtrack	0.0508872
SLOC	0.0499777
YankeeNets	0.0495948
Massport	0.0495665
CUC	0.049214
kickback	0.0488321
"Warner Books"	0.0481411
ENTERGY	0.0480549
Laudrup	0.0478879
Cendant	0.047765
Paxson	0.047689
Trie	0.0474156
"Sumitomo Bank"	0.0472183
All-Tech	0.0468616
"Australian Olympic Committee"	0.0466501
"Mitsubishi Motors"	0.0465427
"PG&AMP;E"	0.0464857
"savings and loan"	0.0464127
Brawley	0.0463591
Bulog	0.0463407
"U.S. Golf Association"	0.0463232
Toysmart	0.0462125
gunrunning	0.0461717
"Sydney Organizing Committee"	0.0456274
Aetna	0.045037
"Cendant Corp."	0.0448665
Intergraph	0.0446722
Paciello	0.0446486
Alcatel	0.0445478
"Pacific Lumber"	0.0442913
SCLC	0.0442473
"Dai-Ichi Kangyo Bank"	0.0442467
FEMA	0.0441819
"promissory note"	0.0440971
teamster	0.0440809
ICA	0.0433769
BofA	0.0433347
AHP	0.0430122
Publicis	0.0428944
Emulex	0.0424952
"Central American nation"	0.0422844
Raytheon	0.0419484
NLRB	0.0417333
Espy	0.0417272
"CBS Sports"	0.0415552
telemarketing	0.0415469
Cisneros	0.0415052
BankBoston	0.0415027
Quackenbush	0.0414973
Eximbank	0.041462
"million Dollar"	0.0414346
Kimbell	0.0414199
"Main Events"	0.0411803
Loral	0.0411101
SFA	0.0410628
"Brooklyn Museum"	0.0409566
urea	0.0408478
BNFL	0.0407248
Benex	0.0407204
leeson	0.0405486
IMG	0.040503
Agusta	0.0403233
Hinckley	0.0402939
"Casey Martin"	0.0402859
AIG	0.0401055
Astra	0.0400249
))
("bank building" (desc 1753.25) (sims
"apartment house"	0.0851889
townhouse	0.0772929
"apartment building"	0.0739416
"office block"	0.072328
"town house"	0.0689081
"chicken coop"	0.0684803
nunnery	0.0678202
"Texas House"	0.0654043
brownstone	0.0644788
"clock tower"	0.063416
firehouse	0.0630343
schoolhouse	0.0615964
"cotton mill"	0.0608564
"Chrysler Building"	0.0587274
"Empire State Building"	0.0573631
colonnade	0.0573263
"computer store"	0.0560452
"rooming house"	0.0557092
"World Trade Center"	0.0546779
outbuilding	0.0535816
farmhouse	0.0533824
"landing craft"	0.0528131
"mobile home"	0.0525535
Dumpster	0.050517
tenement	0.0499875
Vladikavkaz	0.0498168
"Boland Hall"	0.0496009
manse	0.0490001
"Eiffel Tower"	0.0481279
"bell tower"	0.0476943
Essen	0.0475793
"Dhaka Stock Exchange"	0.0474098
gymnasium	0.0473469
"row house"	0.0471606
Reston	0.046893
"assembly hall"	0.0467958
"oil rig"	0.0466487
Convent	0.0463778
"hockey coach"	0.0463627
steeple	0.0459437
"Liberian capital"	0.0459274
"Labor office"	0.0455161
Chateau	0.0454909
Colosseum	0.0451352
Humvee	0.0447089
"extension service"	0.0445258
scaffold	0.0444519
Shenhua	0.0442944
Braintree	0.0442359
"no man's land"	0.0439334
"navy base"	0.043875
Renton	0.0438518
"studio apartment"	0.0431845
"Chevrolet Suburban"	0.0426622
atrium	0.0424494
Sarasota	0.0423999
"Auburn Hills"	0.042352
Reichstag	0.0422116
"Sistine Chapel"	0.0417658
Bengal	0.0417434
"Ferris wheel"	0.0416901
Vilnius	0.0414229
"dorm room"	0.041396
"car park"	0.0412898
"combat zone"	0.0412634
coop	0.0412573
"TV commentator"	0.0410301
"master bedroom"	0.0407394
"extension agent"	0.0406446
"vacant lot"	0.0404593
Sealy	0.0403014
"Zbigniew Brzezinski"	0.0402449
))
("bank card" (desc 1669.42) (sims
"charge card"	0.240181
debit	0.199918
"traveler's check"	0.116004
"credit card"	0.11044
"driver's license"	0.104668
E-ZPass	0.10097
Mastercard	0.0985498
"municipal bond"	0.0922398
ID	0.0849669
"consumer loan"	0.0836407
"calling card"	0.0814793
"identity card"	0.0808353
cellphone	0.078204
"cellular telephone"	0.0742086
"automated teller machine"	0.0734781
"wireless telephone"	0.0725223
"checking account"	0.0721106
"Social Security number"	0.0720824
"home mortgage"	0.0717195
checkbook	0.0697996
Benex	0.0686802
atm	0.068568
beepers	0.0682083
two-digit	0.0676631
"car insurance"	0.0676202
"personal loan"	0.0672576
"computer equipment"	0.0662699
forwarding	0.065263
"money order"	0.0646004
"identification number"	0.0629413
generics	0.0625567
hand-holding	0.0610099
"yellow pages"	0.0604055
"birth certificate"	0.0599216
ISP	0.0590798
"cash machine"	0.0585867
pager	0.058357
password	0.0572594
"hand-held computer"	0.0562721
"airplane ticket"	0.0562695
IC	0.0562607
ID.	0.0559585
stent	0.0558222
beeper	0.0554287
interbank	0.0550654
Hotmail	0.0549431
"commercial paper"	0.0544365
"automatic teller machine"	0.0542587
telemarketing	0.0541947
barter	0.0541786
cheque	0.0537559
FOREX	0.05358
reinsurance	0.0532125
escrow	0.0531353
Cyrix	0.0528309
"life insurance"	0.0527963
"data communication"	0.0520003
jewellery	0.0516318
"mainframe computer"	0.0514569
"grocery bag"	0.0510334
Eurobond	0.0508749
maturing	0.0507625
"mailing address"	0.0506342
IE	0.0500102
"memory chip"	0.0499139
Telecoms	0.0498776
AK-@@	0.0496222
"B share"	0.0496111
"dollar bill"	0.0490373
multibillion	0.0488915
"leisure time"	0.0484796
"bond trading"	0.0484141
floppy	0.0482838
"bag of tricks"	0.0482719
leasing	0.0480088
"public transport"	0.0477665
prefix	0.0473115
"trade secret"	0.0469785
"certificate of deposit"	0.0469279
wristband	0.0466425
fingerprinting	0.0465463
"marriage proposal"	0.0463083
business-to-business	0.0463052
videogame	0.0462192
videophone	0.0460678
"communications satellite"	0.0460661
"ballpoint pen"	0.0460387
CDMA	0.0460309
potty	0.0458209
asp	0.0453292
"back office"	0.0452381
"public transit"	0.0451531
notary	0.0451024
"paper cup"	0.0450889
pacemaker	0.0450499
"telephone directory"	0.0449071
"parking ticket"	0.0448867
"snack food"	0.0446339
"toll call"	0.0446219
spreadsheet	0.0444113
"food stamp"	0.0438226
vibrator	0.0437701
"caller ID"	0.043718
amplification	0.0431778
"two bags"	0.043091
toupee	0.0427794
walkie-talkie	0.0427042
"membership card"	0.0426959
"plane ticket"	0.0426744
"hockey stick"	0.0426484
sewerage	0.0426173
ballooning	0.0425894
"raw talent"	0.0424995
"off-speed pitch"	0.0423722
"Palm Pilots"	0.0422049
inhaler	0.0420909
barbell	0.041885
"musical score"	0.0418444
"fiber optics"	0.0418427
"tax avoidance"	0.0417771
VCD	0.041727
"junk bond"	0.0416604
ICQ	0.0416267
repurchase	0.0415053
"gas stove"	0.0414745
WebTV	0.0414664
pan-European	0.0414582
mem	0.0413296
CD-R	0.0412867
camcorder	0.0412408
"Toyota Corolla"	0.0411641
Mojo	0.0410255
"sleeping pill"	0.0410113
"laser printer"	0.0408688
"garbage disposal"	0.0408031
Xenical	0.040728
"prescription medicine"	0.040696
"voting machine"	0.0406533
handset	0.0406398
B@B	0.040604
ATHOME	0.0405598
vending	0.0405199
"fiber optic cable"	0.0405045
"vocational training"	0.0404395
"media property"	0.0403657
telemedicine	0.0402904
copier	0.0402053
Mabry	0.0401856
"fresh food"	0.040148
UPC	0.0400551
))
("bank debt" (desc 1374.74) (sims
"debt security"	0.123698
"preferred stock"	0.114021
arrears	0.097033
"revenue bond"	0.0959664
debenture	0.089729
"debt payment"	0.0875883
overpayment	0.0853002
"insurance claim"	0.0813736
"bad debt"	0.0788749
"ransom money"	0.0786172
"financial obligation"	0.0775292
"junk bond"	0.0745575
"capital investments"	0.0728776
BUSINESSES	0.071441
Eurobonds	0.0710341
"interest payment"	0.0705492
"legal fee"	0.0703809
"export credit"	0.0690833
"personal loan"	0.0672312
TAXES	0.0667742
"first five days"	0.0661976
reparation	0.0655997
"television revenue"	0.0649259
"debt service"	0.0644504
"savings bond"	0.0643673
"shareholder value"	0.0637718
abacus	0.0618197
"debt issue"	0.0615544
"convertible bond"	0.0608307
LDL	0.060578
"municipal bond"	0.0587239
"Treasury bill"	0.0583813
CMG	0.0575821
"tax incentive"	0.0575818
"cost overrun"	0.0570025
"spending cut"	0.0547632
"property tax"	0.052939
"operating expenses"	0.0526839
"customs duty"	0.0518189
"nearly $@ billion"	0.0515876
"preferred shares"	0.0510495
"home mortgage"	0.0499904
"medicare payment"	0.049963
toupee	0.0491027
"operating cost"	0.0487505
"another @@ million dollars"	0.0472008
"working capital"	0.0467137
racketeer	0.0458818
"bond fund"	0.0458816
"golden parachute"	0.0456924
"fiscal @@@@-@@"	0.0456262
"insurance premium"	0.0452546
instalment	0.0445619
Tankan	0.0444671
"almost $@ billion"	0.0443238
"debt load"	0.0439777
"private corporation"	0.0439086
"bank deposit"	0.0437724
"estate tax"	0.0433707
one-China	0.0427608
sucre	0.0426531
Nextel	0.0425138
bondholder	0.0420715
Mapes	0.0419288
"child support"	0.0418026
"right of way"	0.0415915
"nearly $@@,@@@"	0.0414915
"common stock"	0.0412743
"insurance business"	0.0411348
"food stock"	0.0407343
"nearly $@,@@@"	0.0405481
"first five years"	0.04032
"Bankers Trust Corp."	0.0402611
"tax liability"	0.0402564
NTL	0.0402435
"initial offering"	0.0400738
))
("bank deposit" (desc 8250.01) (sims
deposit	0.222714
"time deposit"	0.17644
"Treasury bill"	0.141429
"home mortgage"	0.133256
remittance	0.126503
saving	0.121894
mortgage	0.119106
lending	0.114125
"consumer credit"	0.113531
"capital investments"	0.113111
loan	0.112582
borrowing	0.11207
overdraft	0.110366
"Treasury bond"	0.109997
asset	0.109317
"tax revenue"	0.108552
"bank account"	0.105431
"money market"	0.103868
"savings account"	0.103032
"consumer loan"	0.101994
"national income"	0.0995669
bond	0.0975495
"certificate of deposit"	0.0972443
"gross national product"	0.095706
"interest payment"	0.0950287
debt	0.0937265
"export credit"	0.0935217
"checking account"	0.093323
"junk bond"	0.0924771
NPLs	0.0916741
"money supply"	0.0909998
"personal income"	0.0902722
"retail sale"	0.0895852
"operating cost"	0.0881381
"steel production"	0.0868529
"retail price index"	0.0867592
pension	0.0864302
GDP	0.0860998
"vehicle sale"	0.0857879
"life insurance"	0.0857391
"take-home pay"	0.0857301
"property tax"	0.0852116
"export sale"	0.0849393
"labor cost"	0.0848625
homeownership	0.083938
income	0.083584
"gross domestic product"	0.0826777
"insurance premium"	0.0826444
inflow	0.0822604
FDI	0.0815466
expenditure	0.0814977
equity	0.0813159
consumption	0.0806187
payment	0.0805771
"capital expenditure"	0.0804901
"equity investment"	0.08005
added-value	0.0796482
outlay	0.079419
"oil production"	0.0789239
GNP	0.0784684
"tax income"	0.0774285
"tax collection"	0.0768838
"medicare payment"	0.0761724
transaction	0.075714
delinquency	0.075702
"truck sale"	0.0756482
"defense budget"	0.075516
"net profit"	0.0746797
"Treasury note"	0.0740272
"foreign exchange"	0.0737424
disbursement	0.0732549
annuity	0.0726757
depositor	0.0725623
"housing sale"	0.0716237
receipt	0.0713792
"consumer price index"	0.0712501
"commercial bank"	0.0710739
"asset value"	0.0710427
"debt payment"	0.0709982
"Social Security benefit"	0.070975
T-bill	0.0707789
"mortgage rate"	0.0707453
"mutual fund"	0.0704698
"capital gain"	0.0703488
"gross income"	0.0700787
"budget deficit"	0.0692871
payouts	0.0691229
"home sale"	0.0687519
earnings	0.0686291
"debt issue"	0.0685547
"debt service"	0.0684795
"marketing cost"	0.0683561
salary	0.0681646
ridership	0.0681159
"foreign direct investment"	0.0681087
"non-performing loans"	0.0675223
Eurobonds	0.0673747
"credit card"	0.0671437
holding	0.0668759
debenture	0.0668655
portfolio	0.066527
payroll	0.0665044
"interest income"	0.0663482
"elephant population"	0.0662999
Renminbi	0.0662562
"working capital"	0.0662238
"production cost"	0.0654673
wage	0.0653567
"commercial paper"	0.0650312
employment	0.0649092
"bond issue"	0.0646093
"bad debt"	0.0645239
arrears	0.0645066
"labor force"	0.0644635
"preferred stock"	0.0644084
"savings bond"	0.0643044
"trade surplus"	0.0642964
rebate	0.0641987
liability	0.0637586
debit	0.0634907
"investment portfolio"	0.0633465
"promissory note"	0.0633092
"factory order"	0.0630665
productivity	0.0630382
"pretax profit"	0.0629485
"occupancy rate"	0.0628637
Tuition	0.0626054
dividend	0.0625602
capitalization	0.0624934
"retail price"	0.0623319
"municipal bond"	0.0623289
"equity market"	0.0617635
ODA	0.0616214
"price index"	0.0615122
"annual payment"	0.0614559
capitalisation	0.0612427
subsidy	0.0611369
enrolment	0.0610931
throughput	0.0610581
financing	0.0607245
"retirement account"	0.0606051
cheque	0.0604541
"income tax"	0.0598516
insurance	0.059759
reserves	0.0596408
"blue-chip stock"	0.0596292
compensation	0.0594099
"net income"	0.0592232
repayment	0.0591861
"credit union"	0.0590854
sum	0.0589498
"life expectancy"	0.058783
"retirement benefit"	0.0587198
"personal loan"	0.0587181
allocation	0.058538
rental	0.058454
"credit line"	0.0584324
"industrial enterprise"	0.0583816
"bond market"	0.0583747
enrollment	0.0583216
"convertible bond"	0.058134
endowment	0.0577165
"television revenue"	0.057643
T-bonds	0.0574869
unemployment	0.0574747
"credit rating"	0.0573364
"retirement plan"	0.0573239
viewership	0.0572821
"financial aid"	0.057241
"securities market"	0.0571221
"standard of living"	0.0570015
"bank rate"	0.0569651
"cancer death"	0.0568595
"land area"	0.0565054
workforce	0.0564947
"trade deficit"	0.0561715
"cost of living"	0.0561399
premium	0.0558915
"electronics industry"	0.0557898
"earning per share"	0.0557784
"producer price"	0.0556104
"air travel"	0.055537
"fertility rate"	0.0555215
appropriation	0.0555163
"unemployment rate"	0.0554079
"value-added tax"	0.0552514
outflow	0.0551928
"real estate"	0.0550782
"bond price"	0.0549778
"bankruptcy filing"	0.0548701
"Official Development Assistance"	0.0548604
CPI	0.0546803
occupancy	0.0546506
allowance	0.0545761
"business activity"	0.0545487
Tonnage	0.0544599
"birth rate"	0.0543692
inventory	0.054297
shareholding	0.0542555
acreage	0.0542186
))
("bank failure" (desc 2019.18) (sims
"power failure"	0.134527
restructurings	0.129482
foreclosure	0.127846
downturns	0.124165
"interest rate increase"	0.116504
mega-mergers	0.107487
default	0.107228
"market correction"	0.106827
selloffs	0.106723
crises	0.105814
"earnings disappointment"	0.10563
divestitures	0.104984
devaluation	0.101578
insolvency	0.101505
deflation	0.0984805
rollovers	0.0979432
"forest fire"	0.097338
outages	0.0968537
contraction	0.0947347
foul-up	0.0938514
shakeout	0.0935337
spillage	0.0934632
"production problem"	0.0926539
poisoning	0.092605
"juvenile delinquency"	0.0924133
meltdowns	0.0918559
meltdown	0.0908751
"work stoppage"	0.0893011
stagnation	0.0883763
calamity	0.0879981
layoff	0.0867229
"enforcement action"	0.0856178
depreciation	0.0853335
bankruptcy	0.0853245
outage	0.0850745
liquidation	0.0845971
lawlessness	0.0840255
"bear market"	0.083779
mishap	0.0834737
"dog bite"	0.0834287
"fatal accident"	0.0833191
businesswomen	0.0833143
"brush fire"	0.0828294
recurrence	0.0820496
"margin call"	0.0803162
QBs	0.0798957
"price increase"	0.0797563
burnings	0.0793472
hyperinflation	0.0791984
disruption	0.0788712
"food poisoning"	0.0787095
unrest	0.0786027
instability	0.0784286
retrenchment	0.0784217
downturn	0.0782078
SIDS	0.0780457
"engine failure"	0.0778958
contagion	0.077541
deforestation	0.0773157
"corruption scandal"	0.0768332
"management change"	0.0761854
destabilization	0.0755849
crunch	0.0755684
meatpackers	0.0753871
interruption	0.0748565
outflow	0.074854
Burnout	0.0742593
breakdown	0.07422
"electric company"	0.0742147
joblessness	0.074142
"plant closing"	0.0739338
sell-offs	0.0739306
"Baby Bells"	0.0734266
disturbance	0.0730671
subsidence	0.0730288
sluggishness	0.0729493
"cold spell"	0.0728825
realignments	0.0726394
"financial loss"	0.0726338
leakage	0.072402
snafu	0.071676
upheaval	0.0715218
"white elephant"	0.0715097
malnutrition	0.0714446
"asset sale"	0.0714298
worsening	0.0711765
"policy change"	0.0709461
privatizations	0.0709359
outperformance	0.0709348
cutback	0.0709228
metropolises	0.0707724
blackout	0.0704737
vandalism	0.0703471
megamergers	0.0693412
"job cut"	0.0689554
shutdown	0.0688557
overheating	0.068769
turbulence	0.0683628
"price fluctuation"	0.0683276
brownout	0.0681515
closings	0.0674866
"armed robbery"	0.0673434
"entitlement program"	0.0672736
firsts	0.066901
looting	0.066599
downslide	0.0661552
"life insurer"	0.0660021
"contagious disease"	0.0659166
"health problem"	0.0658795
drownings	0.065768
miscarriage	0.0657186
downsizing	0.0652607
"military installation"	0.065213
megaplexes	0.0647625
"surprise attack"	0.0647605
recidivism	0.064702
cirrhosis	0.0645936
defection	0.0643579
homebuilder	0.0643209
dustup	0.064249
eruption	0.0642
delinquency	0.063921
"economic condition"	0.0638537
"benefit program"	0.063796
famine	0.0637908
sell-off	0.0637045
degradation	0.0636814
shortfall	0.0634863
"Final Fours"	0.0632941
blunder	0.0631646
"customer complaint"	0.0631317
quarterfinalists	0.0629191
hospitalization	0.0629143
ex-convicts	0.0627057
"Ryder Cups"	0.0626492
"rate hike"	0.0625507
starvation	0.0620638
shrinkage	0.0620113
absenteeism	0.0620025
"auto company"	0.0619913
"tooth decay"	0.0619113
heatwave	0.0618764
fluctuation	0.0618404
fibrillation	0.0616917
"Special Economic Zones"	0.0614394
gaffe	0.0612232
"nuclear explosion"	0.0612166
gridlock	0.0611974
poaching	0.0610764
"three pitchers"	0.0609391
"credit bureau"	0.0608106
shipbuilder	0.0608015
bloodbath	0.060748
mix-up	0.060671
"solar flare"	0.0605818
letdown	0.0605213
desertification	0.0604786
incursion	0.060266
"volcanic eruption"	0.0602586
uptick	0.0601286
bottlers	0.0600994
flare-up	0.060005
"crisis situation"	0.0599212
"personal loan"	0.0598799
morbidity	0.0598543
near-collapse	0.0598193
"debt problem"	0.0597969
wildfire	0.0596568
derailment	0.0596045
reshuffling	0.0594672
marginalization	0.0592535
snowstorm	0.0591248
walkout	0.0591072
strife	0.0589783
redundancy	0.058959
"tax change"	0.0588992
"dust storm"	0.0588831
"steel company"	0.0588378
indigestion	0.0588219
"liver disease"	0.0587731
"bankruptcy case"	0.0587445
dollarization	0.0586915
"building society"	0.058643
Osteoporosis	0.0585983
carjackings	0.0585733
temblor	0.0585513
sickness	0.0585298
rationing	0.0585161
sunburn	0.0584087
"private foundation"	0.0583839
deterioration	0.0583552
tremor	0.0583207
"drive-by shooting"	0.058125
"rising prices"	0.0578701
"consumer demand"	0.0578353
"brain drain"	0.0578111
hotspots	0.0577806
fallout	0.0576882
"close call"	0.0574155
spinoffs	0.0573931
))
("Bank for International Settlements" (desc 1564.52) (sims
"World Economic Forum"	0.151866
"Olympic Council of Asia"	0.138931
"International Labor Organization"	0.127698
"World Bank Group"	0.119558
"Inter-American Development Bank"	0.118337
"International Civil Aviation Organization"	0.113619
"International Committee of Red Cross"	0.111267
"Food and Agriculture Organization"	0.109406
"Ministry of Trade"	0.108398
"Central Bureau of Statistics"	0.108348
"Ministry of International Trade and Industry"	0.10683
"World Tourism Organization"	0.105563
"International Maritime Organization"	0.104621
"United Nations Conference"	0.102037
"Sydney Organizing Committee"	0.10172
"Court of Arbitration"	0.1011
"Hong Kong Tourist Association"	0.101015
"Central Bank of Kenya"	0.100848
"National Council of Churches"	0.100517
"Organization for Economic Cooperation and Development"	0.100414
"World Jewish Congress"	0.100334
"Asian Development Bank"	0.0985488
"planning commission"	0.0974207
"Philippine Central Bank"	0.097355
"Central Election Commission"	0.09612
"United Nations Conference on Trade and Development"	0.0949684
"Hong Kong Monetary Authority"	0.0949442
"American Psychological Association"	0.0946032
"United Nations Educational, Scientific and Cultural Organization"	0.0943728
"Census and Statistics Department"	0.0942097
"Ministry of Forestry"	0.0941907
"Families USA"	0.0936156
"Commission on Human Rights"	0.0934307
"State Bank of Pakistan"	0.0909541
"World Health Organization"	0.0886503
"Securities Industry Association"	0.0877748
"Inter-Parliamentary Union"	0.0874993
"International Red Cross"	0.0870052
"American Academy of Pediatrics"	0.0856309
ESCAP	0.0854202
"American Association"	0.0846881
"Air Transport Association"	0.0843286
"United Nations Development Program"	0.0832098
"Commission on Presidential Debates"	0.0830096
"United Nations Industrial Development Organization"	0.0829641
"State Statistical Bureau"	0.082694
"Economic and Social Council"	0.08266
"United Nations Environment Program"	0.0824905
"U.S. Soccer Federation"	0.0824694
"election commission"	0.0823826
"Ministry of Tourism"	0.0821216
"Tourism Authority of Thailand"	0.0817073
"American Heart Association"	0.0810429
"UN agency"	0.0804037
"North Atlantic Council"	0.0797477
"General Administration of Customs"	0.0795144
"International Society"	0.0791133
"Chinese Olympic Committee"	0.0790284
"International Committee"	0.0789775
"Agriculture Ministry"	0.0789141
"Department of Finance"	0.0788975
"Democratic Leadership Council"	0.0784006
"Ministry of Planning"	0.078387
"American Psychiatric Association"	0.0782507
"Ministry of Water Resources"	0.0779121
"Bank of Thailand"	0.077723
"Federal Reserve Bank of New York"	0.07766
"State Planning Commission"	0.0774354
"European Bank for Reconstruction"	0.0770842
"International Finance Corporation"	0.0763203
"National Urban League"	0.0760664
"Revolutionary Command Council"	0.0759816
"American Jewish Committee"	0.0755937
"Defense Fund"	0.0749953
NRC	0.0744735
"Commerce Ministry"	0.0743565
UNCTAD	0.073412
"State Statistics Bureau"	0.0732013
"National Research Council"	0.073133
"Joint Commission"	0.0728811
"South Pacific Forum"	0.0727031
"China National Tourism Administration"	0.0725931
"Ministry of Trade and Industry"	0.0723117
OCA	0.0722063
"National Academy of Sciences"	0.0719565
"Operation Lifeline Sudan"	0.0718065
"China Society"	0.0716775
"Paris Club"	0.0715178
"Supreme Soviet"	0.0711462
"Southeastern Legal Foundation"	0.0711178
"State Administration of Taxation"	0.071015
"College Board"	0.0703008
"Consumer Product Safety Commission"	0.0702246
"Organizing Committee"	0.0702106
"Information Center"	0.0695056
"Ministry of Economy"	0.0692271
"Visa International"	0.0691973
"Inter-Governmental Authority on Development"	0.0689557
"Arab Parliamentary Union"	0.0689515
ILO	0.0683541
"Hack Wilson"	0.0681252
"United Nations Drug Control Program"	0.0680092
"Federal Aviation Administration"	0.0676897
"China Youth Development Foundation"	0.0673707
"Presidential Office"	0.067206
UCI	0.0671727
"Group of Seven"	0.0670191
"National Economic Council"	0.0669799
"National Education Association"	0.0669625
"United Nations agency"	0.0669571
WIPO	0.0668764
"American Cancer Society"	0.0667903
CNOOC	0.0667649
ISTAT	0.0667507
"Palestinian Council"	0.0665366
"Hong Kong Trade Development Council"	0.066498
"IG Metall"	0.066488
"Hong Kong Federation"	0.066012
"General Accounting Office"	0.0659943
ADB	0.065936
"Kaiser Family Foundation"	0.0658714
"Supreme Council"	0.0653553
"PLO Executive Committee"	0.065031
"American Petroleum Institute"	0.0649847
"U.N. Conference"	0.0649844
"Islamic Development Bank"	0.0648231
"Global Environment Facility"	0.064739
FAO	0.0645412
CITES	0.0645401
"Atlanta Committee"	0.0644591
"Organization of Islamic Conference"	0.0643967
"China National Petroleum Corporation"	0.0643033
"Joint Liaison Group"	0.0642613
"People's Bank of China"	0.0641442
MSF	0.0639463
"U.N. Development Program"	0.0639407
"Labor office"	0.0638507
"Shanghai Branch"	0.0638012
"National Association of Realtors"	0.0637683
"Economic Planning Agency"	0.0637179
SDS	0.0634641
"International Federation"	0.063325
"International Badminton Federation"	0.0632879
"Red Cross Society"	0.0632416
"Civil Aviation Authority"	0.0630438
"International Cycling Union"	0.062999
"International Ski Federation"	0.0628105
"U.S. Commerce Department"	0.0627961
"National Association of Broadcasters"	0.0627026
"International Amateur Athletics Federation"	0.0625993
"National Tourism Administration"	0.0625699
"European Central Bank"	0.062515
"International Association of Machinists"	0.062494
"State Bureau of Environmental Protection"	0.0624524
OECD	0.062361
"Economic Commission for Africa"	0.0622169
"Sino-British Joint Liaison Group"	0.0622129
"Benevolent Association"	0.0621311
"Palestine National Council"	0.0620353
Bi	0.0618922
"Thai Commerce Ministry"	0.0618825
"Organisation of African Unity"	0.0618779
"Organization of Petroleum Exporting Countries"	0.0618599
"Institute of Medicine"	0.0616962
"Russian Security Council"	0.0614596
"United Nations Population Fund"	0.061232
Novartis	0.0611701
IGAD	0.0611609
"Anti-Defamation League"	0.061147
"World Intellectual Property Organization"	0.0607901
"Bank of Zambia"	0.0607882
"Royal Society"	0.0606922
PICC	0.0604457
"Independent Electoral Commission"	0.0603929
"Contact Group"	0.0603516
"Department of Labor"	0.0602018
ECA	0.0601732
"Board of Investment"	0.0600609
"Clean Air Act"	0.0599012
"African Development Bank"	0.059898
"Public Service Commission"	0.0598114
ITU	0.0596523
KSE	0.05958
"Conference Board"	0.0595173
"American Bar Association"	0.0591896
"National Congress"	0.0587277
CIRC	0.0586896
"Australian Olympic Committee"	0.0585951
CNPC	0.0582917
"National Council of La Raza"	0.0582773
"American Lung Association"	0.0581726
"Xinhua News Agency Hong Kong Branch"	0.0581064
"Standard Chartered Bank"	0.0579474
"United Nations Children's Fund"	0.0579394
Axworthy	0.05791
"Federal Emergency Management Agency"	0.0577992
"Urban League"	0.0576899
"Human Rights Campaign"	0.0576105
"Jerusalem Committee"	0.0575682
"Universal Postal Union"	0.0574992
))
("bank holding company" (desc 1999.49) (sims
"banking company"	0.211398
"life insurer"	0.198297
"cable operator"	0.137364
issuer	0.134318
drugmaker	0.125635
shipbuilder	0.117558
"savings bank"	0.11682
"toy retailer"	0.112227
"broadcasting company"	0.109497
"defense contractor"	0.106752
"department store chain"	0.103131
"brokerage house"	0.101956
"credit bureau"	0.101659
"food company"	0.101319
toymaker	0.0996802
bottler	0.0982718
"brokerage firm"	0.092676
carmaker	0.0902162
"toy maker"	0.0898716
"Protestant denomination"	0.089685
fourth-largest	0.0872695
"electric company"	0.0855555
"savings and loan"	0.0851814
"newspaper publisher"	0.0851421
"trucking company"	0.0851298
"drug maker"	0.0838396
"power company"	0.0833487
"futures exchange"	0.0831086
"accounting firm"	0.0823477
"opera company"	0.081209
"car manufacturer"	0.0810183
"oil producer"	0.0802535
"holding company"	0.0795298
"gas company"	0.0790444
"home builder"	0.0788552
"telephone company"	0.0779635
"music school"	0.0773741
automaker	0.0764808
brokerage	0.0759485
"private foundation"	0.0748188
"retail chain"	0.0746043
"Medicare HMO"	0.0744655
"auto company"	0.0720601
grocer	0.0703909
third-largest	0.0701906
"entitlement program"	0.0691444
"Fallon McElligott"	0.0690268
"tire maker"	0.0689443
ENTERGY	0.0689181
thrift	0.0668263
"weather station"	0.0661697
"health maintenance organization"	0.0652856
hauler	0.0649045
crematorium	0.0646712
"auto maker"	0.0645791
Archdiocese	0.0644763
"Strategic Petroleum Reserve"	0.0643118
steelmaker	0.0638326
"insurance broker"	0.0628514
"publishing company"	0.0627704
"printing company"	0.0625942
"investment trust"	0.0622745
"electronics company"	0.0617512
"sailing vessel"	0.0612607
"drug czar"	0.0610018
homebuilder	0.0604373
chipmaker	0.0603219
franchisee	0.0602293
metropolises	0.0601337
"gambling casino"	0.059989
"building society"	0.0599714
"Cendant Corp."	0.059559
"software maker"	0.0592397
"school system"	0.0587333
"semiconductor maker"	0.0586029
"dry cleaner"	0.0577158
"bus company"	0.0575716
"abortion law"	0.0574989
"restaurant chain"	0.0567419
fief	0.0565006
ISPs	0.0562943
"highway system"	0.0561855
reseller	0.0557402
"car maker"	0.0555874
wholesaler	0.0553257
brewery	0.0552636
"Human Rights Commission"	0.0552152
incinerator	0.055034
"National Grid"	0.0550017
polluter	0.0549248
refiner	0.0541495
"transportation company"	0.0540814
"Russian bank"	0.0539797
"ad agency"	0.0535403
bookseller	0.0535309
AMM	0.0532872
"Volkswagen AG"	0.0531957
"steel company"	0.0531168
"racing circuit"	0.0528959
"travel agency"	0.0527582
"insurance firm"	0.0527305
"Parades Commission"	0.0524715
"World Health Assembly"	0.0522931
IGC	0.0522364
"trade association"	0.0522302
officeholder	0.0522021
psychoanalyst	0.0518522
"leveraged buyout"	0.0516846
distributorship	0.0516036
"market maker"	0.0514657
"discount chain"	0.0511184
"futures market"	0.0511087
"TV station"	0.0505706
"benefit program"	0.0505239
bottlers	0.050467
ISP	0.0501662
"Inter-Governmental Authority on Development"	0.0493519
"mining company"	0.0491286
Avondale	0.0490359
GPU	0.0489951
"control board"	0.0489878
databank	0.048903
carmakers	0.0485862
"think tank"	0.0485275
ECN	0.0483946
Thyssen	0.0481943
"fund-raising drive"	0.0481934
"telephone operator"	0.0481258
"New Jersey State Police"	0.0480529
"business organization"	0.0477533
"copper mine"	0.0477381
UNMOVIC	0.0473601
"cable system"	0.0473251
"aircraft order"	0.047227
"European Court of Justice"	0.0469574
Novartis	0.046862
"arms deal"	0.046709
"repertory company"	0.0466395
"mental institution"	0.0466235
"Independent National Electoral Commission"	0.0464609
"medical institution"	0.0464087
"two schools"	0.0463107
REIT	0.0461881
"military installation"	0.0461427
meatpackers	0.0457803
diaspora	0.0455904
marketer	0.0455246
"poverty rate"	0.0455236
"radio telescope"	0.0452775
"endowment fund"	0.0451562
"trust company"	0.0448773
"professional association"	0.0448048
"toy store"	0.0446914
"advertising agency"	0.0446642
CSX	0.0445057
"chain store"	0.0444636
"New York-New Jersey MetroStars"	0.0443538
"Viacom Inc."	0.0442713
Cendant	0.0442357
"fund-raising campaign"	0.0440354
ex-convicts	0.044019
"Mobil Corp."	0.044019
"Infantry Battalion"	0.0439901
"political movement"	0.0439445
"Symantec Corp."	0.0439041
"bank failure"	0.0438495
"Universal Music Group"	0.0437814
"sweet tooth"	0.0436846
"suspension bridge"	0.0436719
"ASEAN Ministerial Meeting"	0.0436086
"consulting company"	0.0435351
"Carter Center"	0.0434824
Sino-French	0.043375
boomtown	0.0431675
"monetary fund"	0.0429515
"Medicare HMOs"	0.0429357
Ghani	0.0428953
"military post"	0.042762
underwriter	0.042735
minibuses	0.0426141
"industrial revolution"	0.0424562
drugmakers	0.0424067
"Cuban Americans"	0.0423669
"Greek Orthodox Church"	0.0422619
"farm team"	0.0422229
policymakers	0.0421701
"paramilitary organization"	0.0420824
"Raytheon Co."	0.0420818
"Council of Economic Advisers"	0.0420107
"test-tube baby"	0.041929
"manufacturing business"	0.0419117
chaebol	0.0418804
"Ethics Commission"	0.0417165
"theater company"	0.041703
AHP	0.0416761
DiCarlo	0.0416512
"subsidiary company"	0.0414038
ICTR	0.041369
"Operation Lifeline Sudan"	0.041274
"business school"	0.0411506
))
("Bank Indonesia" (desc 5204.24) (sims
"Bank of Israel"	0.205759
"Bank of Thailand"	0.205332
"Bangladesh Bank"	0.203476
"Bank of Uganda"	0.188464
"People's Bank of China"	0.188133
Bundesbank	0.182947
"Bank of Zambia"	0.182905
"reserve bank"	0.180799
"Hong Kong Monetary Authority"	0.180633
"Reserve Bank of India"	0.171255
"Bank Negara"	0.166209
"Philippine Central Bank"	0.160363
Bi	0.159073
PBOC	0.149464
"Reserve Bank of Australia"	0.14656
"Bank of England"	0.136915
CBK	0.133972
"Central Bank of Kenya"	0.131087
"central bank"	0.128463
"Bank of Korea"	0.12604
HKMA	0.126018
"Bank of China"	0.125455
"Bank of Italy"	0.124095
"Bank of Japan"	0.121674
"Central Bank of Nigeria"	0.119612
"Labor Ministry"	0.118195
PBC	0.112029
"Central Bureau of Statistics"	0.109894
"national bank"	0.107549
"Finance Ministry"	0.105891
"U.S. Defense Department"	0.101855
ECB	0.0999582
"International Badminton Federation"	0.0995137
"U.S. Federal Reserve"	0.0994023
"European Central Bank"	0.0979365
"British High Commission"	0.0961897
"Health Ministry"	0.0961777
"Bank of Canada"	0.0959756
"Commerce Ministry"	0.0952553
BOJ	0.094936
"State Bank of Pakistan"	0.0946727
"Tourism Authority of Thailand"	0.0926709
"Iranian Foreign Ministry"	0.0900854
"Education Ministry"	0.089506
"Turkish Foreign Ministry"	0.0891369
"U.S. Soccer Federation"	0.0884428
"Home Ministry"	0.0873187
"Russian Foreign Ministry"	0.087299
"U.S. State Department"	0.0872117
"Agriculture Ministry"	0.0869293
"Ministry of Finance"	0.0862333
BOI	0.0858055
SDB	0.0854241
"Department of Trade and Industry"	0.0849355
"Israeli Foreign Ministry"	0.0848165
"Federal Reserve"	0.0826017
"Defense Ministry"	0.0825871
"Interior Ministry"	0.0819351
"State Statistics Bureau"	0.0819023
"Thai Foreign Ministry"	0.0818172
"Health and Welfare Ministry"	0.0816227
Tat	0.0802056
"U.S. Treasury"	0.0792759
"Ministry of Foreign Affairs"	0.0792463
"Department of Finance"	0.0787809
Eximbank	0.0786428
"foreign office"	0.0785585
"Justice Ministry"	0.0783019
"Thai Commerce Ministry"	0.0780304
"British Foreign Office"	0.0779106
Singson	0.0773417
ADB	0.0773011
"Ministry of International Trade and Industry"	0.0768736
BoT	0.0768009
CBO	0.0767178
"Industry Ministry"	0.0764654
"Badminton Association of Indonesia"	0.0761081
"Defense Agency"	0.07573
"Ministry of Public Security"	0.0755649
"National Bureau of Statistics"	0.0753656
"Economic Planning Agency"	0.0751905
"Department of Health"	0.0748609
"Ministry of Information"	0.0745655
RBA	0.0744324
"Foreign Ministry"	0.0743288
"election commission"	0.0740821
"French Foreign Ministry"	0.0732782
INEC	0.0732237
"College Board"	0.0730432
"Agriculture Department"	0.0726089
IEA	0.0723679
"Ministry of Agriculture"	0.0721513
IMF	0.0721344
"Federal Reserve Board"	0.071436
"Indonesian Military"	0.0713082
"International Monetary Fund"	0.0711071
"World Bank"	0.0710831
"Ministry of Defense"	0.0705528
CIRC	0.0701573
Khamenei	0.0700504
"National Sports Council"	0.0700477
"Census and Statistics Department"	0.0696579
"Ministry of Trade and Industry"	0.0696315
CSRC	0.0694328
"Indonesian Armed Forces"	0.069413
CDB	0.069268
"Australian Bureau of Statistics"	0.0692594
TDB	0.0684186
"International Cycling Union"	0.0683898
"municipal government"	0.0683564
"State Development Planning Commission"	0.0682003
SSB	0.0680413
UNICEF	0.0679723
"State Planning Commission"	0.0679473
CBI	0.0678436
"Ministry of Railways"	0.067731
SEPA	0.0672652
"EU Commission"	0.0671351
Comelec	0.0670122
"commercial bank"	0.0669385
"Board of Investment"	0.0666542
"Lee Hsien Loong"	0.0664918
"Asian Development Bank"	0.0664859
"British government"	0.0659084
MOFTEC	0.0656535
"Department of Labor"	0.0651843
PNP	0.0651806
"Department of Foreign Affairs"	0.0647978
Fed	0.0645135
"Office of Management and Budget"	0.0643868
"Information Center"	0.064221
treasury	0.0639131
"Department of Environment"	0.0638605
"United Nations Conference on Trade and Development"	0.0637279
"Ministry of Culture"	0.063367
"Ministry of Forestry"	0.0632254
Caprivi	0.0631729
"Ministry of Health"	0.0630979
EPA	0.0629508
NCEC	0.0626431
BOC	0.0625843
USAID	0.0625739
FSB	0.062548
"Ministry of Public Health"	0.0625229
"State Development Bank"	0.0624473
CAAC	0.0623907
WFP	0.0623257
SDPC	0.062195
"Dai Xianglong"	0.0619878
FAA	0.0614775
bureau	0.0612622
"Russian Space Agency"	0.0612358
"Health Department"	0.0610009
"De Beers"	0.0609193
"U.S. Embassy"	0.0607553
"monetary fund"	0.0605784
"Ministry of Interior"	0.0603988
NLD	0.0602839
Govt	0.060282
UNDP	0.0602741
Tsang	0.0602525
USDA	0.0601477
"Airport Authority"	0.0601319
"Ministry of Justice"	0.0600601
"European Commission"	0.0599661
"Ministry of Education"	0.0599441
"State Statistical Bureau"	0.0599376
"National Research Council"	0.0597271
"ASEAN Secretariat"	0.059508
"Transportation Department"	0.0591585
IAAF	0.0590673
"U.S. Agriculture Department"	0.0587801
"Information Ministry"	0.0586669
"Helen Clark"	0.0584467
IDB	0.0582603
Massport	0.058187
"Health Care Financing Administration"	0.0581219
UNEP	0.0578168
"National Highway Traffic Safety Administration"	0.0574892
"Ministry of Posts"	0.0573249
"United Nations High Commission for Refugees"	0.0572036
FAO	0.0571328
OSHA	0.0571316
"Labor Department"	0.0570923
ISO	0.0570245
"Immigration Department"	0.0569583
"Ministry of Communications"	0.0566746
"Energy Department"	0.0564655
"Federal Security Service"	0.056427
Forrester	0.0564226
FIFA	0.0564152
HKTA	0.0563712
"Public Security Ministry"	0.0563484
"Pedro Rossello"	0.0563142
"Wim Duisenberg"	0.05623
UCI	0.0561875
"Ministry of Labor"	0.0561285
"U.S. Treasury Department"	0.0560848
ILO	0.0559892
GEC	0.0559492
))
("Bank Negara" (desc 2411.33) (sims
"Bank of Israel"	0.243804
"Bank of Zambia"	0.21846
"reserve bank"	0.218223
"Bank of Uganda"	0.182414
"Bank of Thailand"	0.178958
"Bangladesh Bank"	0.178047
"Bank Indonesia"	0.166209
"Bank of Italy"	0.162894
"Hong Kong Monetary Authority"	0.156118
"People's Bank of China"	0.152259
"Reserve Bank of Australia"	0.151565
"Central Bank of Nigeria"	0.14829
"Reserve Bank of India"	0.145996
"Philippine Central Bank"	0.145681
"Bank of Korea"	0.139832
RBA	0.128202
PBOC	0.128127
"Bank of England"	0.124131
"State Bank of Pakistan"	0.122296
Bundesbank	0.107129
HKTA	0.107128
"Central Bank of Kenya"	0.101219
"Bank of China"	0.101017
"Labor Ministry"	0.100267
"central bank"	0.0994866
BOJ	0.0984148
CBK	0.0980323
"U.S. Defense Department"	0.0967911
"Bank of Japan"	0.0948985
PBC	0.0942987
SDB	0.0911009
"Deutsche Bank AG"	0.0900766
"Tourism Authority of Thailand"	0.0897693
"EU Commission"	0.0892469
"Ministry of Trade and Industry"	0.087278
"Bank of Canada"	0.0868074
"Education Department"	0.0864965
"US State Department"	0.0849827
"Commerce Ministry"	0.0846193
BoT	0.0840671
"Central Election Commission"	0.0836
Bi	0.0830444
"State Development Bank"	0.0827102
"Home Ministry"	0.0825756
"Chase Manhattan Corp."	0.0813937
"Truth Commission"	0.0812725
"Transportation Department"	0.081005
"Labor Department"	0.0803748
"election commission"	0.0790613
"Malaysia Airlines"	0.0790528
"Ministry of Forestry"	0.0786747
"Clinton Administration"	0.0781284
Eximbank	0.0771979
MII	0.077147
"UBS AG"	0.0769556
Tat	0.0769323
EC	0.0767639
NHTSA	0.0765619
UBS	0.076317
"Commerce Department"	0.0761419
"Electoral Commission"	0.0757562
"Lower Saxony"	0.0749232
"Israeli Foreign Ministry"	0.074729
"State Planning Commission"	0.074537
IEA	0.0741128
"International Tennis Federation"	0.0738161
"U.S. Agriculture Department"	0.0736215
"Ministry of Education"	0.0734759
Singson	0.0731638
CDC	0.0731333
"United Nations Population Fund"	0.0729048
"Ministry of Finance"	0.0721477
"Health Ministry"	0.072
"Quintana Roo"	0.0719715
ECA	0.0719636
"Inter-American Development Bank"	0.0717987
"Industrial and Commercial Bank of China"	0.0717593
"Finance Ministry"	0.0713721
EOHR	0.0713132
"First Union Corp."	0.0711998
"French Foreign Ministry"	0.070962
"national bank"	0.0709331
"Ministry of Civil Affairs"	0.0707288
TDB	0.0702921
"Asian Development Bank"	0.0702881
"Central Bureau of Statistics"	0.0700932
"American Heart Association"	0.0695764
"Department of Health"	0.0693252
"Hong Kong Tourist Association"	0.0690366
Satcher	0.0689517
"Federal Reserve"	0.0684778
ADB	0.0684708
"Chief Executive Tung Chee-hwa"	0.0684494
"Jack Straw"	0.0683863
Mackey	0.0680042
"National Election Committee"	0.0678056
SSB	0.0673231
USDA	0.0671503
"State Council"	0.0669374
"State Development Planning Commission"	0.0669063
"Economic Planning Agency"	0.0664288
"Agriculture Ministry"	0.0663569
BOI	0.0663236
IDB	0.0657806
Deutsch	0.0657498
ECB	0.0656812
"Nuclear Regulatory Commission"	0.0651833
TDC	0.0650925
Postel	0.0650829
"Federal Reserve Board"	0.0649561
"Federal Trade Commission"	0.0647319
"King Birendra"	0.0645817
"Ministry of Trade"	0.0643578
EPA	0.0643577
"U.S. Commerce Department"	0.0636902
"Lagos State"	0.0633356
"State Statistics Bureau"	0.0631821
"Bill Richardson"	0.0631407
"Dai Xianglong"	0.0631115
"De Klerk"	0.0630941
NTSB	0.0628143
"State Administration of Cultural Heritage"	0.0626596
"British Foreign Office"	0.0625824
HKMA	0.0624303
"European Central Bank"	0.0624222
SDPC	0.0623427
AOC	0.0623077
"Defense Department"	0.0621606
"Ministry of Foreign Trade and Economic Cooperation"	0.0614946
HCFA	0.0614369
"Independent Electoral Commission"	0.061191
IDC	0.0610988
"Ministry of Agriculture"	0.0610707
"Hang Seng Bank"	0.0609052
"U.S. Labor Department"	0.060838
"Equal Employment Opportunity Commission"	0.0607848
Eurostat	0.0607259
"China Construction Bank"	0.0605652
FTC	0.0602872
Guanajuato	0.0602367
MOFTEC	0.0602118
CBI	0.0601852
ABRI	0.0601363
OECD	0.0600418
Rothenberg	0.0598425
INEC	0.0598403
OSHA	0.0597679
"Central Government"	0.0596278
"United States government"	0.0596142
"National Electoral Commission of Nigeria"	0.0594035
"Education Ministry"	0.0593717
"Department of Agriculture"	0.0593329
MAS	0.0592989
"United Nations High Commissioner for Refugees"	0.059264
"Agriculture Department"	0.0592561
"Thai Foreign Ministry"	0.0592493
ESCAP	0.0591645
"ABN AMRO"	0.0591052
"U.S. Treasury Department"	0.058865
NRC	0.0587025
"Bill Skate"	0.0586907
"Ministry of Transport"	0.0583262
NIH	0.0580602
ILO	0.0579326
"World Health Organization"	0.0578072
"Consumer Product Safety Commission"	0.0576771
Sumaye	0.0576477
"Ethics Commission"	0.0575723
"surgeon general"	0.0574859
Advani	0.0574632
"Department of State"	0.0574537
"Chinese government"	0.0573695
"Health Care Financing Administration"	0.0573684
"China Youth Development Foundation"	0.0573273
"Health Department"	0.0572986
Scharping	0.0572516
Tsang	0.0571704
"National Science Foundation"	0.0570708
"State Education Commission"	0.05688
PUC	0.0566037
"Information Office"	0.056516
"Department of Defense"	0.0565114
CBO	0.0564164
"Ministry of Health"	0.0561188
EEOC	0.0560577
Skiles	0.0559382
"Federal Communications Commission"	0.0558785
BEA	0.0558274
"Pakalitha Mosisili"	0.0557612
HSBC	0.0557213
Hesse	0.0555738
Eizenstat	0.0555123
"American Film Institute"	0.0555108
"Orlando Mercado"	0.0553051
UNFPA	0.0552843
"Food and Drug Administration"	0.0550656
"Board of Investment"	0.0548595
"Treasury Department"	0.0547342
"African Development Bank"	0.0545949
UNIDO	0.0545335
))
("bank note" (desc 5063.27) (sims
Banknote	0.295674
Coin	0.133888
"postage stamp"	0.112223
invoice	0.106666
stamp	0.0906002
"traveler's check"	0.0894577
"Treasury bond"	0.0892994
dinar	0.086045
"preferred stock"	0.0850577
"dollar bill"	0.0843049
T-bonds	0.0816192
"identity card"	0.0802968
"Treasury note"	0.0794332
Stamps	0.0778108
lev	0.0747035
CFCs	0.0730156
"commercial paper"	0.0727566
Naira	0.0726027
passport	0.0723893
"silver dollar"	0.0708621
"debt security"	0.0696377
"precious metal"	0.0662265
"stock certificate"	0.0634086
"official document"	0.0628052
RMB	0.0615368
cheque	0.0605577
T-bill	0.0601516
"business card"	0.0595697
certificate	0.0594287
zloty	0.0589589
"promissory note"	0.0589304
Renminbi	0.0580643
"nearly @@ billion yuan"	0.0574236
"birth certificate"	0.0569286
"compact disc"	0.0567864
jewellery	0.0564856
"boarding pass"	0.0562291
"historical document"	0.0559941
"convertible bond"	0.0558779
Eurobond	0.0557889
ingot	0.0557793
"Treasury bill"	0.0557737
contraband	0.0552934
"purchase order"	0.0546014
A-shares	0.0544628
ID	0.0541296
"letter of credit"	0.0534126
"B share"	0.0530132
Eurobonds	0.0530048
"electric current"	0.0522004
beany	0.0520401
"preferred shares"	0.0518312
"work permit"	0.0516309
"heavy weapon"	0.0511874
VCD	0.0507916
shilling	0.0505121
coupon	0.0504127
"bond offering"	0.0504
bronzeware	0.0502132
pataca	0.0501341
munition	0.0501289
"Bangladesh Bank"	0.050055
"production equipment"	0.0496417
"credit card"	0.0494695
postcard	0.0494638
coinage	0.0490263
ruble	0.0489879
sucre	0.0489512
"driver's license"	0.0489351
"registration number"	0.0488231
"printing press"	0.0485018
deportee	0.0482127
kwanza	0.0482105
receipt	0.0480279
weaponry	0.0480215
"debt issue"	0.0479985
"trading card"	0.047652
"order form"	0.0474026
scrip	0.0472691
"monetary system"	0.0469551
"social contract"	0.0469152
antiquity	0.0466525
"license plate"	0.0460474
licence	0.0460219
VCDs	0.0455868
Dong	0.0454185
B-shares	0.0452902
"production facility"	0.04518
"closed-end fund"	0.0449721
debenture	0.0449343
token	0.0448229
"oil lamp"	0.0447729
narcotic	0.0445908
"Chevrolet Monte Carlo"	0.0441728
badge	0.0440785
memoranda	0.0439981
"foreign exchange"	0.0439112
"one billion yuan"	0.0438145
foodstuff	0.0438019
"national flag"	0.0437071
"food product"	0.0436336
revers	0.0435205
newsprint	0.0433467
"electrical device"	0.0433234
franc	0.0431395
FDI	0.043051
"arms deal"	0.0428418
bullion	0.0422848
"accounting problem"	0.0422623
yuan	0.0422285
classifieds	0.0422194
"legal code"	0.0422108
clothes	0.0421867
"return address"	0.0420352
"foreign direct investment"	0.0418352
derivative	0.0418213
"bond issue"	0.0416782
tranche	0.0416526
"Pentium III"	0.0415867
"neutron bomb"	0.0415293
"Rahanwein Resistance Army"	0.0415157
emerald	0.0414675
lire	0.04146
"savings bond"	0.0414211
Consulate-General	0.040992
videophone	0.0409685
monies	0.0409403
IC	0.0409248
"Office @@@@"	0.040866
"Osman Hassan Ali Atto"	0.0408388
"electronic equipment"	0.0408318
"penal code"	0.0407936
"certificate of deposit"	0.0407436
"futures contract"	0.0405898
"chemical agent"	0.0401743
))
("Bank of America" (desc 11858.1) (sims
BankAmerica	0.303694
Citibank	0.223308
BofA	0.222116
"Wells Fargo"	0.221357
"First Union"	0.210728
"Chase Manhattan"	0.205368
"J.P. Morgan"	0.19179
"Merrill Lynch"	0.190028
"Deutsche Bank"	0.185532
"Morgan Stanley Dean Witter"	0.184268
"Chase Manhattan Bank"	0.181009
BankBoston	0.176687
"BankAmerica Corp."	0.173443
Norwest	0.173276
Citicorp	0.167003
Citigroup	0.166982
NationsBank	0.166724
"Credit Suisse First Boston"	0.163231
"Bankers Trust"	0.162228
"Lehman Brothers"	0.157913
"J.P. Morgan &AMP; Co."	0.153058
HSBC	0.149774
Commerzbank	0.149551
"ABN AMRO"	0.146417
"Fleet Financial Group"	0.144676
"Donaldson, Lufkin &AMP; Jenrette"	0.143695
"Salomon Smith Barney"	0.142111
"Bear Stearns"	0.141326
"Morgan Stanley"	0.139106
"Merrill Lynch &AMP; Co."	0.137817
UBS	0.137157
"Hambrecht &AMP; Quist"	0.136222
"Goldman Sachs"	0.136123
PaineWebber	0.135888
"Paine Webber"	0.13365
"First Union Corp."	0.13032
ICBC	0.130208
"American Express"	0.129051
"Bank of New York"	0.128429
"Warburg Dillon Read"	0.126389
"JP Morgan"	0.125146
"Dresdner Bank"	0.124465
"Chase Manhattan Corp."	0.124308
"NationsBanc Montgomery Securities"	0.120966
"GE Capital"	0.120835
"Fidelity Investments"	0.118742
"MCI WorldCom"	0.118738
"Societe Generale"	0.113474
"HSBC Holdings"	0.11245
"Deutsche Bank AG"	0.112131
"American International Group"	0.111461
Paribas	0.111357
"General Electric"	0.110927
"Eastman Kodak"	0.110485
Schwab	0.109708
"Credit Suisse"	0.109087
"Goldman, Sachs &AMP; Co."	0.109013
"Standard Chartered Bank"	0.108451
SDB	0.107331
"Chevron Corp."	0.107196
Wachovia	0.107168
Goldman	0.10712
Texaco	0.10664
Honeywell	0.106611
"BancBoston Robertson Stephens"	0.106297
"Bell Atlantic"	0.105903
"Morgan Stanley Dean Witter &AMP; Co."	0.105848
Chevron	0.105434
"Time Warner"	0.105415
Merrill	0.104942
BOC	0.104574
McKesson	0.102658
Barclays	0.102531
Pepsico	0.102065
"Exxon Mobil"	0.101328
"Travelers Group"	0.10102
"BP Amoco"	0.100533
Viacom	0.100074
Dupont	0.100016
"Hang Seng Bank"	0.0995972
"Robertson Stephens"	0.0994579
"Johnson &AMP; Johnson"	0.0992789
Merck	0.0987017
IBM	0.0985155
"Charles Schwab"	0.0980954
WorldCom	0.0974502
REVLON	0.0973777
Compaq	0.0970873
Cisco	0.0968898
"Goldman Sachs &AMP; Co."	0.0966951
"General Motors"	0.0960301
DaimlerChrysler	0.0954397
ETrade	0.0952313
Enron	0.0952259
Ameritech	0.0950605
Unilever	0.0950386
"Wine Institute"	0.0949606
CCB	0.0949591
"Waste Management"	0.09489
EarthLink	0.094612
Monsanto	0.0944276
"Conde Nast"	0.0941827
Hewlett-Packard	0.093929
"Credit Lyonnais"	0.0934416
"America Online"	0.0934174
Corp.	0.093409
Chrysler	0.0933126
"Prudential Securities"	0.09328
Aetna	0.0929787
Healtheon	0.0927583
"Times Mirror"	0.0924683
"Federal Reserve Bank of New York"	0.0924223
"Con Ed"	0.0924215
Motorola	0.0918187
"Cisco Systems"	0.0917502
IMG	0.0916538
SmithKline	0.0915062
"U.S. Chamber of Commerce"	0.0911755
"Gap Inc."	0.0911351
"Royal Bank of Scotland"	0.0910517
"Philip Morris"	0.090908
"International Paper"	0.0907542
Mobil	0.0907513
"U.S. Trust"	0.0902426
"Salomon Brothers"	0.0902001
Instinet	0.0897434
MCI	0.0894695
SBC	0.0894372
Bertelsmann	0.0892236
"Dow Chemical"	0.0888804
GANNETT	0.0887803
"Learning Co."	0.0887395
EMC	0.0886655
"Goldman Sachs Group"	0.0886133
"Federated Department Stores"	0.0886083
UAL	0.0885134
"New York Times Co."	0.088365
"Walt Disney Co."	0.0882228
Coca-Cola	0.0882176
BellSouth	0.0881693
Exxon	0.0880663
Qualcomm	0.0880486
"Washington Mutual"	0.0878559
"Tribune Co."	0.0876257
Xerox	0.0875169
"Fannie Mae"	0.0874894
Sears	0.0873614
"Dow Jones &AMP; Co."	0.0868559
Ciena	0.0868149
"ING Barings"	0.0868075
"Dell Computer"	0.0867454
"RJR Nabisco"	0.0866075
Kodak	0.0865906
Mastercard	0.0865836
brokerage	0.0864303
Publicis	0.0862412
Sumitomo	0.0859529
"General Electric Co."	0.0858009
Mattel	0.0856461
"CS First Boston"	0.0854448
"brokerage firm"	0.0852502
"Bank of China"	0.0852129
"Ford Motor Co."	0.0848777
Qwest	0.0846119
"Lockheed Martin"	0.0845053
GTE	0.0843856
"Times Co."	0.0843085
MindSpring	0.0841434
E-LOAN	0.0839944
Seagram	0.0838906
"Levi Strauss"	0.0838277
Alcoa	0.0835219
Cendant	0.0835111
"SBC Communications"	0.0834922
Intel	0.0833938
AMR	0.0833561
"Sumitomo Bank"	0.0833119
"Lucent Technologies"	0.08308
"American Home Products"	0.082967
Dresdner	0.0828612
"Time Inc."	0.0827675
"Home Depot"	0.0826775
"GTE Corp."	0.0824679
RealNetworks	0.0822317
"RAND Corp."	0.0822207
Daimler-Benz	0.0820231
"Visa International"	0.081935
Gillette	0.0818674
Litton	0.0818301
"Y&AMP;R"	0.0817994
"Procter &AMP; Gamble"	0.0816093
Eximbank	0.0813901
"United Airlines"	0.0812202
"Oracle Corp."	0.081216
Warner-Lambert	0.0811526
Pfizer	0.0811048
"Con Edison"	0.0810862
Halliburton	0.081075
"BankBoston Corp."	0.0810474
"Delta Air Lines"	0.0810097
))
("Bank of Canada" (desc 1129.42) (sims
"Bank of Israel"	0.209474
"Bank of Italy"	0.177396
"reserve bank"	0.167424
BOJ	0.159659
"Reserve Bank of Australia"	0.153877
RBA	0.14022
"Philippine Central Bank"	0.137452
CBK	0.131743
ECB	0.131349
"Monetary Policy Committee"	0.128627
FOMC	0.126263
"Federal Reserve Board"	0.118714
CPF	0.116913
"Bank of Thailand"	0.116285
"Bank of Japan"	0.110069
"Reserve Bank of India"	0.106563
"U.S. Fed"	0.104982
"U.S. Federal Reserve"	0.104238
"Bank of Zambia"	0.104222
"Bank of England"	0.0997521
"Health and Welfare Ministry"	0.0993088
"Federal Reserve"	0.0992002
Fed	0.0970948
"Bank Indonesia"	0.0959756
"Toronto Stock Exchange"	0.0955158
PTT	0.0945825
"Bank of Uganda"	0.0940727
HCFA	0.088755
PBC	0.0887395
"Bank Negara"	0.0868074
"European Central Bank"	0.0842848
ABSA	0.0815495
"Balanced Budget Act"	0.0798613
CDB	0.0795621
SDB	0.0774208
PBOC	0.0757846
"Consolidated Edison"	0.0724102
"Central Bank of Nigeria"	0.0722623
"bank rate"	0.0709214
"Thai Farmers Bank"	0.0708593
"Parti Quebecois"	0.0706266
HKMA	0.0700529
"Central Bank of Kenya"	0.0700185
"national bank"	0.0692061
"Development Bank of Singapore"	0.0686055
"Investors Service"	0.0684794
IAI	0.0678792
Bi	0.0673463
"Hong Kong Monetary Authority"	0.0662559
"U.S. Defense Department"	0.0656533
"Bank of Korea"	0.0655456
raloxifene	0.0652697
"U.S. Agriculture Department"	0.0639385
Pacificare	0.0635502
NCEC	0.062749
"Vietnam Airlines"	0.0626427
CNOOC	0.0626326
Kornberg	0.0624978
"Air Canada"	0.0624572
DoCoMo	0.0623387
McKesson	0.06226
Alltel	0.0609953
"Los Angeles Unified"	0.060854
Tat	0.0606993
"Defense Agency"	0.0596756
MTA	0.0593518
HKTA	0.0593396
Cp	0.0590718
"Department of Public Health"	0.058961
AOC	0.0585885
"Statistics Canada"	0.0582599
"British Foreign Office"	0.0580117
NCI	0.0579894
USEC	0.0578313
Samara	0.0577174
"KCP&AMP;L"	0.0575898
McCaw	0.0575632
Konka	0.0574071
CCA	0.0572317
PictureTel	0.0570745
Badillo	0.056396
AGL	0.0562895
"tax change"	0.0562063
"Culture Ministry"	0.0561619
"key rate"	0.0560707
Icahn	0.0560477
"Air Lanka"	0.0558769
JAL	0.0558628
NiSource	0.0555864
"Pac Bell"	0.0555621
Sinopec	0.0555072
"Con Edison"	0.0554805
overdraft	0.0554734
"Australian Cricket Board"	0.0551826
Bundesbank	0.0549051
GAM	0.0544792
surtax	0.0542104
UAM	0.0541602
Nepa	0.0540132
CAAC	0.0538102
JetBlue	0.0537485
"basis point"	0.0537478
MetLife	0.0536348
caseloads	0.0534844
"Lagos State"	0.0533793
"Phelps Dodge"	0.0530908
YankeeNets	0.0525878
"National Grid"	0.052359
"State Farm"	0.052134
Aliotti	0.0521155
SMI	0.0520678
"US Supreme Court"	0.0520581
Golisano	0.0519893
backdoor	0.0519369
"World Petroleum Congress"	0.0519236
Ahold	0.0517948
Liston	0.0517862
CCF	0.0517765
Telmex	0.051761
"Bank of China"	0.0514559
"Russian Navy"	0.0513078
C-section	0.0512721
NORTHROP	0.0511668
Kyprianou	0.0511618
USDA	0.0509583
CFTC	0.0507341
"Con Ed"	0.0506669
"barrels per day"	0.0505021
"Israeli Foreign Ministry"	0.0504092
Delphi	0.0503754
"Federal Open Market Committee"	0.0502113
Gilead	0.0502079
"BP Amoco"	0.0500328
HHS	0.0499802
"mortgage rate"	0.0499506
Toysmart	0.0498806
UTC	0.0498176
Ghosn	0.0497797
"Delta State"	0.0495983
HKFA	0.0494976
Moody's	0.0494927
"Transport Ministry"	0.0494805
"Housing Authority"	0.0494476
"Kenneth Clarke"	0.0493988
"Harvard Pilgrim"	0.0491195
F.A	0.0490131
CBI	0.0485771
ACB	0.0485203
Britannica	0.0484883
CPS	0.0483722
ISO	0.0483241
"Pacific Exchange"	0.0482253
"Bangkok Bank"	0.0480562
SUNY	0.0479999
"housing sale"	0.0478388
Nomura	0.0477596
FSA	0.0476525
"Airport Authority"	0.0476224
"Organization of Petroleum Exporting Countries"	0.0474202
AMC	0.0473569
JAT	0.0472342
Iomega	0.0471638
"Downing Street"	0.0471625
Daimler	0.0470926
"Agriculture Ministry"	0.0470882
BOC	0.0470483
GAAF	0.0469884
Gascoigne	0.0469651
Ansett	0.0469004
TYCO	0.0467214
Mease	0.0466769
"almost $@@@ million"	0.0464929
Amtrak	0.0464809
Webvan	0.0464358
corporates	0.0462838
"Agriculture Department"	0.0462697
RAMBUS	0.0462419
Hitachi	0.0459609
CSRC	0.0458627
"Lower Saxony"	0.0458133
ATHOME	0.0458034
Durwood	0.0458005
DS	0.0457704
UNAMET	0.0456183
NTT	0.0454823
"Elliott Walden"	0.0452962
Massport	0.0452419
KPU	0.0450916
"Campbell Soup"	0.0450837
parsnip	0.0450728
"Tony Fernandez"	0.0449535
"romaine lettuce"	0.0449034
"borrowing cost"	0.0448568
Palawan	0.0448001
Airlines	0.044722
Icann	0.0446806
"International Ski Federation"	0.0446236
"U.S. Treasury"	0.0445669
"Sakura Bank"	0.0445084
DEP	0.0444315
))
("Bank of China" (desc 15207.1) (sims
"People's Bank of China"	0.323029
"Agricultural Bank of China"	0.313037
"China Construction Bank"	0.269083
"Industrial and Commercial Bank of China"	0.262787
"Construction Bank of China"	0.262778
PBOC	0.228438
"Bank of Communications"	0.217257
"Ministry of Finance"	0.21669
"State Planning Commission"	0.214448
"State Development Planning Commission"	0.212224
"State Development Bank"	0.208312
"State Economic and Trade Commission"	0.2054
"Civil Aviation Administration of China"	0.204605
"State Administration of Foreign Exchange"	0.202735
"State Education Commission"	0.198893
industrial	0.180616
"Commercial Bank of China"	0.179765
"Ministry of Information Industry"	0.178035
"Ministry of Foreign Trade and Economic Cooperation"	0.177709
"Ministry of Agriculture"	0.177305
"General Administration of Customs"	0.175345
ICBC	0.173687
"Bank of Thailand"	0.169217
"Ministry of Foreign Trade"	0.167714
"Ministry of Communications"	0.167546
"State Administration of Taxation"	0.165633
"Ministry of Education"	0.165351
"Ministry of Public Security"	0.163743
"State Environmental Protection Administration"	0.162782
MOFTEC	0.160317
"Ministry of Construction"	0.158667
"Ministry of Labor"	0.156603
BOC	0.156049
"Ministry of Science"	0.155084
"China Securities Regulatory Commission"	0.154346
"Ministry of Railways"	0.149135
"State Statistics Bureau"	0.143723
PBC	0.143048
"State Bureau of Environmental Protection"	0.141997
"Hong Kong Monetary Authority"	0.139417
"China National Tourism Administration"	0.138126
"Ministry of Culture"	0.137864
"Ministry of Water Resources"	0.136604
"Bank of Israel"	0.135653
"Ministry of Personnel"	0.135055
CCB	0.134981
"State Forestry Administration"	0.134861
"State Science and Technology Commission"	0.134326
"central bank"	0.132919
"Ministry of Civil Affairs"	0.13094
Eximbank	0.130481
"State Administration for Industry"	0.13037
"State Council"	0.130203
"Ministry of Public Health"	0.128074
SDB	0.127595
"Ministry of Internal Trade"	0.126276
"Bank Indonesia"	0.125455
"municipal government"	0.125326
"Ministry of Health"	0.124813
"National Tourism Administration"	0.122819
"Ministry of Posts"	0.121903
"Bangladesh Bank"	0.121741
"Bank of Uganda"	0.119653
"reserve bank"	0.118203
"Ministry of International Trade and Industry"	0.117549
"Hang Seng Bank"	0.117452
"State Administration of Internal Trade"	0.116015
"China Council"	0.115709
"Bank of Zambia"	0.115479
"Ministry of Forestry"	0.115423
"Xinhua News Agency"	0.114281
"Reserve Bank of India"	0.114278
"Central Bank of Kenya"	0.111794
"Bank of Japan"	0.11124
"Ministry of Geology"	0.110848
"Finance Ministry"	0.110536
"Agriculture Ministry"	0.109147
"Chinese Foreign Ministry"	0.108928
"Chinese Academy of Sciences"	0.107701
"Philippine Central Bank"	0.107465
CSRC	0.107207
"commercial bank"	0.106746
"State Administration of Cultural Heritage"	0.103397
"Bank of Italy"	0.103311
"China National Petroleum Corporation"	0.102351
"Ministry of Justice"	0.102347
"Chinese Academy of Social Sciences"	0.1022
ministry	0.101918
"Bank Negara"	0.101017
Procuratorate	0.100558
"Labor Ministry"	0.10051
"National Bureau of Statistics"	0.0990691
"Central Bank of Nigeria"	0.0989331
"Beijing Municipal Government"	0.0965759
"Asian Development Bank"	0.0965728
"Development Research Center"	0.0959188
"Ministry of Foreign Affairs"	0.0927782
"Taiwan Affairs Office"	0.0923835
"national bank"	0.091112
"Bangkok Bank"	0.0900001
"Ministry of Supervision"	0.0897931
"State Bank of Pakistan"	0.0897375
"Thai Commerce Ministry"	0.089263
"World Bank"	0.0885435
HKMA	0.0884796
"Shanghai Branch"	0.0877229
"Hong Kong Trade Development Council"	0.087104
Bundesbank	0.086952
"State Statistical Bureau"	0.0867169
SETC	0.0859506
"Standard Chartered Bank"	0.0855391
CIRC	0.0853942
"Bank of America"	0.0852129
"Industry Ministry"	0.0842416
"Foreign Ministry"	0.0837405
"China Southern Airlines"	0.0831279
"Air China"	0.0828719
department	0.082625
PICC	0.0825782
"Commerce Ministry"	0.0825104
"China Unicom"	0.081889
"local government"	0.0816705
"Federal Communications Commission"	0.0816656
"Interior Ministry"	0.0814575
"Information Office"	0.0812091
Citibank	0.0811031
"Health Ministry"	0.0804251
"State Bureau of Cultural Relics"	0.0803674
"Food and Drug Administration"	0.08025
"European Commission"	0.0798629
"Thai Foreign Ministry"	0.0798389
HSBC	0.0797356
CDB	0.0795613
"Board of Investment"	0.0793213
"Justice Ministry"	0.0792083
"Bank of England"	0.0791947
"Reserve Bank of Australia"	0.0788804
"China Telecom"	0.0787424
"Ministry of Land"	0.0783483
"Environmental Protection Agency"	0.0776906
"Shanghai Municipal Government"	0.0776182
"planning commission"	0.0775712
"Federal Aviation Administration"	0.0775524
"Defense Ministry"	0.0766225
"Russian Foreign Ministry"	0.0759713
"Federal Trade Commission"	0.0755831
SDPC	0.0750891
ADB	0.0747077
"Education Ministry"	0.0742448
"European Central Bank"	0.0739666
"United Nations Development Program"	0.0737543
"Federal Reserve Board"	0.0733806
"Ministry of Trade and Industry"	0.0733107
"Visa International"	0.0733072
"Economic Cooperation"	0.073287
"Department of Labor"	0.0729737
"U.S. Federal Reserve"	0.0728389
Bi	0.0725758
"Health Department"	0.0715089
bureau	0.0712136
"Deutsche Bank"	0.0710311
"International Monetary Fund"	0.0707758
"All-China Youth Federation"	0.070715
"Central Government"	0.0706776
"Ministry of Industry"	0.0706334
"Nuclear Regulatory Commission"	0.0705436
"All-China Federation"	0.0701253
"Russian Defense Ministry"	0.0700284
INEC	0.0699645
"U.S. State Department"	0.069951
"International Badminton Federation"	0.0696632
"Department of Commerce"	0.0693553
"Sanwa Bank"	0.0692476
"Central Committee"	0.069204
"World Health Organization"	0.0691772
"Department of Health and Human Services"	0.0687774
federation	0.0682332
"Philippine Senate"	0.0675598
"Department of Health"	0.0672894
CITIC	0.0671837
"International Finance Corporation"	0.0670409
UCI	0.0670036
"Association for Friendship"	0.066756
"World Wildlife Fund"	0.0663837
"U.S. Immigration and Naturalization Service"	0.0662575
Council	0.0661935
CAAC	0.065878
"Tourism Authority of Thailand"	0.0658576
"Department of Trade and Industry"	0.0656969
"National Electoral Commission of Nigeria"	0.0654265
"Securities and Exchange Commission"	0.0653757
"financial institution"	0.0651986
"Sumitomo Bank"	0.0651232
branch	0.0650908
"Qinghua University"	0.0650883
"African Development Bank"	0.0650531
"U.N. Sanctions Committee"	0.0650082
"Beijing University"	0.0649558
"U.S. Defense Department"	0.0648412
"Chinese government"	0.0646415
))
("Bank of Communications" (desc 1490.22) (sims
"Agricultural Bank of China"	0.418958
"Industrial and Commercial Bank of China"	0.358943
"China Construction Bank"	0.35117
"Construction Bank of China"	0.339408
industrial	0.2975
"Bank of China"	0.217257
"State Development Bank"	0.158606
"State Administration of Foreign Exchange"	0.156192
"Commercial Bank of China"	0.15297
ICBC	0.140887
"China Eastern Airlines"	0.11256
"People's Bank of China"	0.112187
"China Securities Regulatory Commission"	0.0948685
CCB	0.0948141
"Ministry of Geology"	0.0899014
BOC	0.0885008
"Fudan University"	0.0880809
"State Administration of Taxation"	0.085367
"Industrial Bank of Japan"	0.0845962
"Red Cross Society"	0.0831902
"Wenhui Daily"	0.0821296
"Standard Chartered Bank"	0.0820327
"Thai Farmers Bank"	0.081154
PICC	0.0775862
"China Council"	0.0771978
"China Youth Development Foundation"	0.0741761
"Xinhua News Agency"	0.072833
"Ministry of Supervision"	0.0696255
SDB	0.0692678
CCF	0.0680428
"Rotary International"	0.0679953
PBOC	0.0666369
"Air China"	0.0651877
auditor-general	0.0642615
CITIC	0.0614979
"Central Bank of Nigeria"	0.061416
"Ministry of Posts"	0.0607727
"Ford Motor Company"	0.0593806
"merchant bank"	0.0586126
"General Services Administration"	0.0582704
"Agriculture Ministry"	0.0582244
"Shanghai Branch"	0.0576507
"Sumitomo Bank"	0.0563409
"Homo erectus"	0.0562524
"United Nations Drug Control Program"	0.056195
"China Unicom"	0.0560214
SETC	0.0556517
"Dai-Ichi Kangyo Bank"	0.0549884
DMA	0.0544328
"Visa International"	0.0531493
"Asian Development Bank"	0.0526377
"Hong Kong Monetary Authority"	0.0525935
"Croatian Democratic Union"	0.0524043
"Bank of Montreal"	0.0512315
"Bank of Thailand"	0.0511047
"American Lung Association"	0.050311
"China Southern Airlines"	0.0502144
"Diamond Multimedia"	0.0498947
"Islamic Development Bank"	0.0492728
"Eastern Airlines"	0.0489552
Citibank	0.0482571
"Macao Government"	0.0482481
"New York Public Library"	0.0481687
"U.S. Immigration and Naturalization Service"	0.0481454
Eximbank	0.0476916
"Rainbow/PUSH Coalition"	0.04709
MSF	0.047004
"Hang Seng Bank"	0.0469035
"savings bank"	0.0467365
"Civil Aviation Administration of China"	0.0466144
"Ministry of Information Industry"	0.0461057
"State Planning Commission"	0.0460343
Ltd.	0.0459507
"State Development Planning Commission"	0.0457677
"Development Research Center"	0.0457415
Ericsson	0.0456355
"financial organization"	0.0453177
"U.S. Commerce Department"	0.0447312
"BellSouth Corp."	0.0447113
"China Telecom"	0.0446175
"China Airlines"	0.0437908
"Defense Agency"	0.0430491
CDB	0.0430259
"IG Metall"	0.042814
GEF	0.0427487
"Zhongshan University"	0.0426432
"United Nations Environment Program"	0.0424689
"Cuban American National Foundation"	0.0423987
"World Wildlife Fund"	0.0422384
"Metropolitan Museum"	0.0419772
"Siemens AG"	0.0418363
"Alcoholics Anonymous"	0.0417871
"Jordan River"	0.0417677
"Sanwa Bank"	0.0409324
"General Administration of Customs"	0.040883
"National Association"	0.040285
"Chase Manhattan Bank"	0.0401333
NIH	0.0400049
))
("Bank of England" (desc 8103.87) (sims
"U.S. Federal Reserve"	0.253087
"reserve bank"	0.224327
"Federal Reserve"	0.21288
"Reserve Bank of Australia"	0.211354
"European Central Bank"	0.193738
Fed	0.186376
"Bank of Israel"	0.179254
"central bank"	0.170221
"Bank of Japan"	0.165274
"Federal Reserve Board"	0.16284
Bundesbank	0.160454
ECB	0.145257
"Bank of Thailand"	0.144673
"Bank of Italy"	0.138951
"Bank Indonesia"	0.136915
"Philippine Central Bank"	0.13113
"Hong Kong Monetary Authority"	0.12497
"Bank Negara"	0.124131
"Bangladesh Bank"	0.122306
"Bank of Zambia"	0.119562
"Reserve Bank of India"	0.10633
"U.S. Fed"	0.103786
"Bank of Canada"	0.0997521
FOMC	0.0992366
BOJ	0.0986458
PBOC	0.0949041
"Bank of Uganda"	0.0926459
"People's Bank of China"	0.090069
OPEC	0.0889278
"Monetary Policy Committee"	0.0881856
"Investors Service"	0.087407
Bi	0.084178
"State Bank of Pakistan"	0.0841596
RBA	0.0836858
ITF	0.0817948
"Economic Planning Agency"	0.0813839
"Finance Ministry"	0.0796291
"Central Bank of Kenya"	0.0795866
"Bank of China"	0.0791947
"Jack Straw"	0.0787737
FDA	0.0780304
"Department of Health"	0.0759796
CBK	0.0758051
"Labor Department"	0.0739462
"Federal Trade Commission"	0.0735473
"Bank of Korea"	0.0734549
"U.S. State Department"	0.0732206
policy-makers	0.0729783
"Israeli Cabinet"	0.0728537
"Environmental Protection Agency"	0.0726836
"Commerce Ministry"	0.0725825
"Federal Communications Commission"	0.0723221
FIFA	0.0715811
"Organization of Petroleum Exporting Countries"	0.0715371
UEFA	0.0714086
"Health and Welfare Ministry"	0.0713204
HKMA	0.0711458
"International Amateur Athletic Federation"	0.0704078
"Australian Bureau of Statistics"	0.0702699
"Agriculture Department"	0.0701922
"Federal Open Market Committee"	0.069929
"Central Bank of Nigeria"	0.0696401
PBC	0.0692681
"European Commission"	0.0690615
"International Monetary Fund"	0.0688784
"Health Ministry"	0.0685012
"election commission"	0.06836
"Ministry of Finance"	0.067993
"British government"	0.0674165
"Clinton Administration"	0.0674021
"British Foreign Office"	0.0673063
EC	0.0664615
"Food and Drug Administration"	0.0661591
"Republican National Committee"	0.0659925
"International Tennis Federation"	0.0659316
IMF	0.0656179
"Arab League"	0.0654947
"Treasury Department"	0.0653612
"Census Bureau"	0.0645628
Pentagon	0.0641862
FCC	0.0640185
"U.S. Defense Department"	0.0631
Greenspan	0.0629443
"national bank"	0.0628391
"U.S. Environmental Protection Agency"	0.0624947
Moody's	0.0623463
"Tourism Authority of Thailand"	0.0618916
"Football Association"	0.0615943
FTC	0.0613534
"International Badminton Federation"	0.0612448
"USA Basketball"	0.0611947
CEC	0.0611872
Hynes	0.0611572
"Securities and Exchange Commission"	0.0609543
"European Parliament"	0.0608956
"National Bureau of Statistics"	0.0607623
USGA	0.0602306
"Commerce Department"	0.0598628
"Department of Health and Human Services"	0.0598202
"State Statistics Bureau"	0.0596973
BOI	0.0596227
"Federal Reserve Bank"	0.0595563
"U.S. Agriculture Department"	0.0591254
EPA	0.0587727
RNC	0.0586785
"board of education"	0.0585956
"U.S. Congress"	0.058249
"American Petroleum Institute"	0.0578256
Westendorp	0.0577111
"Energy Department"	0.0574766
USDA	0.0573748
regulator	0.0572639
"Russian Foreign Ministry"	0.0570908
"John Major"	0.0563145
CAA	0.056102
NLD	0.055928
"French Foreign Ministry"	0.0556139
Kesri	0.055434
"Department of Labor"	0.0553334
"Federal Deposit Insurance Corp."	0.0552725
"Contact Group"	0.0551424
organisers	0.0547302
"General Accounting Office"	0.0547101
"Financial Supervisory Agency"	0.0546303
USOC	0.0545514
"Russian Defense Ministry"	0.0544909
"National Academy of Sciences"	0.0544027
"European nation"	0.054051
"Transportation Department"	0.0540349
"finance minister"	0.054028
"State Department"	0.0539974
"Justice Ministry"	0.0539704
"Tony Blair"	0.0538163
"Immigration and Naturalization Service"	0.0536955
"Department of Foreign Affairs"	0.0536184
"Costas Simitis"	0.0535163
"Federal Election Commission"	0.0534917
"Democratic National Committee"	0.0534756
Meissner	0.0534401
CAF	0.0533923
"Independent National Electoral Commission"	0.0532528
"Justice Department"	0.0532195
"Truth Commission"	0.0531773
"World Bank"	0.0530563
PBSI	0.052969
SEC	0.0528096
"Health Department"	0.0528086
"Amnesty International"	0.052509
"National Transportation Safety Board"	0.0524472
"Ethics Commission"	0.0523255
FAA	0.0523218
"Education Department"	0.0522318
Teresi	0.0520644
"Health Care Financing Administration"	0.0519582
ACFTU	0.0517466
PNA	0.051576
Judiciary	0.0512788
treasury	0.0511842
"World Health Organization"	0.0511546
EOHR	0.0510536
Khai	0.0509396
"Interior Department"	0.0508576
"Irish Republican Army"	0.0505263
SJC	0.0505055
"U.S. Supreme Court"	0.0503969
"Central Election Commission"	0.0503174
IOC	0.0502412
FA	0.0502005
HKFA	0.0501956
CDC	0.0501818
"National Research Council"	0.0501665
"Congressional Budget Office"	0.0501429
EBRD	0.0500388
"Parades Commission"	0.0499444
"Law Lords"	0.0498623
"United Nations agency"	0.0498233
IEA	0.0497765
"Department of Agriculture"	0.04972
"State Council"	0.0497104
"federal official"	0.0496112
"BellSouth Corp."	0.0495095
"Asian Development Bank"	0.0494605
"William Cohen"	0.0494516
"Electoral Commission"	0.0494171
Hesse	0.0492808
Mokhehle	0.0490662
NRC	0.0490494
HKTA	0.0490444
PCC	0.0490437
Lott	0.0490113
CMAG	0.0489491
"International Olympic Committee"	0.0489031
"U.N. agency"	0.0488068
"Ministry of Trade"	0.0488046
SLOC	0.0485399
"Antonio Guterres"	0.0484648
"Ministry of Health"	0.0483266
ABSA	0.0482717
Icahn	0.0482595
PUC	0.0482162
))
("Bank of Israel" (desc 1084.69) (sims
"Bank of Zambia"	0.257463
"Bank of Uganda"	0.255756
"Bank of Italy"	0.254724
"Bangladesh Bank"	0.246744
"Bank Negara"	0.243804
"Philippine Central Bank"	0.23012
"Bank of Thailand"	0.221315
"Bank of Korea"	0.220584
"Reserve Bank of Australia"	0.212283
"reserve bank"	0.211178
"Bank of Canada"	0.209474
"Bank Indonesia"	0.205759
"Reserve Bank of India"	0.203949
PBOC	0.179924
"Bank of England"	0.179254
BOJ	0.161725
"Hong Kong Monetary Authority"	0.161182
"Central Bank of Nigeria"	0.160924
"People's Bank of China"	0.158665
RBA	0.158122
"Central Bank of Kenya"	0.152851
PBC	0.152078
Bundesbank	0.149631
CBK	0.144078
"Bank of Japan"	0.142543
"Bank of China"	0.135653
"Labor Ministry"	0.131254
Bi	0.128063
"State Bank of Pakistan"	0.119677
IEA	0.117753
"Lagos State"	0.116328
"Monetary Policy Committee"	0.114754
"Federal Reserve Board"	0.113296
"Lower Saxony"	0.113266
"Health and Welfare Ministry"	0.111633
"U.S. Soccer Federation"	0.111229
ECB	0.110652
"Independent National Electoral Commission"	0.109488
"Tourism Authority of Thailand"	0.109229
BoT	0.10864
"U.S. Defense Department"	0.106762
"Israeli Foreign Ministry"	0.10599
SSB	0.105813
ICA	0.103232
"Quintana Roo"	0.10277
"International Ski Federation"	0.102469
FOMC	0.102195
Tat	0.100256
"Advanced Micro"	0.099784
"Home Ministry"	0.0979829
"Federal Reserve"	0.0978763
GEC	0.0978077
"Public Security Ministry"	0.0977224
"Health Ministry"	0.0971682
"national bank"	0.0970364
"National Electoral Commission of Nigeria"	0.0969863
"Badminton Association of Indonesia"	0.0960504
"Airport Authority"	0.0958522
EOHR	0.0945968
"U.S. Fed"	0.0943643
"Turkish Foreign Ministry"	0.0940424
"Central Election Commission"	0.0939782
"British Foreign Office"	0.0936191
"BellSouth Corp."	0.0935477
"Department of Public Safety"	0.0933761
"Ministry of Finance"	0.0932433
"U.S. Federal Reserve"	0.0931327
"Commerce Ministry"	0.0920378
"European Central Bank"	0.0909993
"Transport Ministry"	0.0903911
"National Bureau of Statistics"	0.0901721
"French Foreign Ministry"	0.0898819
MAS	0.0894201
"Justice Ministry"	0.0890886
"Cuban American National Foundation"	0.0889881
"Central Bureau of Statistics"	0.0888292
MII	0.0888087
Antioquia	0.0885809
HKMA	0.0884514
Hesse	0.0882866
"Bank of Montreal"	0.0881295
"Health and Human Services Department"	0.0880313
"Independent Electoral Commission"	0.0874219
"Vietnam Airlines"	0.0869803
"Electoral Commission"	0.0868549
"Volvo AB"	0.0864849
"Kenyan Government"	0.0864095
PTT	0.0863464
Guanajuato	0.0860969
USDA	0.085957
"National Police"	0.0857815
TDB	0.0856421
ISTAT	0.0855547
"U.S. Census Bureau"	0.0854216
"American Petroleum Institute"	0.0852476
"Australian Bureau of Statistics"	0.0849652
"Ford Motor Company"	0.0846844
Samara	0.0844828
"Education Department"	0.0844048
CSRC	0.0839173
"Hong Kong Tourist Association"	0.0829178
"New York Times Co."	0.0827516
"Finance Ministry"	0.0825609
SDB	0.0818706
Caprivi	0.0817172
"Atlanta Committee"	0.0815189
"United Nations Interim Force in Lebanon"	0.0815185
"International Amateur Athletics Federation"	0.081398
"Ministry of Foreign Trade and Economic Cooperation"	0.0800642
"U.S. Immigration and Naturalization Service"	0.0799475
"Indonesian Armed Forces"	0.0797292
"National Association of Realtors"	0.079572
"Department of Labor"	0.078726
NORTHROP	0.0786578
"Defense Agency"	0.0786256
"Consolidated Edison"	0.0786237
"Macao Government"	0.0782959
Moody's	0.0778066
"Times Co."	0.0776319
"Israeli Army"	0.0774318
"Department of Health"	0.0773751
"Service Employees International Union"	0.0773742
"State Statistics Bureau"	0.0771642
"Education Ministry"	0.07702
Equifax	0.0769121
IAI	0.0767362
"Agence France Presse"	0.0766404
"J&AMP;J"	0.0766254
CBI	0.0765783
Zacatecas	0.0763788
"Ministry of Public Security"	0.076373
"Agriculture Ministry"	0.0763405
"Health Department"	0.0760828
"Ministry of International Trade and Industry"	0.0758209
"Computer Associates"	0.0756946
"Russian Defense Ministry"	0.0753252
Lucasfilm	0.0753223
"Sydney Organizing Committee"	0.0753159
Krasnoyarsk	0.0753042
"Minas Gerais"	0.0752786
AHP	0.0751712
Herat	0.0750732
"New South"	0.0743423
"Lee Hsien Loong"	0.0743386
"Ministry of Interior"	0.0742531
"Agriculture Department"	0.0741582
"Dhaka Stock Exchange"	0.0739939
"Universal Pictures"	0.0738918
Daimler-Benz	0.0737598
CSC	0.0736906
"Department of State"	0.0735943
"De Beers"	0.0734893
"Gillette Co."	0.0732894
"U.S. Commerce Department"	0.0732723
"Transportation Department"	0.0731769
"Academy of Motion Picture Arts"	0.0731402
"Iranian Foreign Ministry"	0.0730679
"American Cancer Society"	0.0730654
"National Highway Traffic Safety Administration"	0.0729488
"Pepsico Inc."	0.0728222
"U.S. Export-Import Bank"	0.0728102
"State Administration of Foreign Exchange"	0.0726505
"National Republican Congressional Committee"	0.0725425
"Bank of Scotland"	0.0724896
"Nuclear Regulatory Commission"	0.0723871
"Sony Corp."	0.0720669
Saxony	0.0720131
Scripps	0.0719213
"U.S. State Department"	0.0717989
S@	0.0716402
"Consumer Product Safety Commission"	0.0716363
BOC	0.0715302
"UBS AG"	0.0715076
"Hearst Corporation"	0.071376
AMR	0.070894
ABSA	0.0707499
IDB	0.0707348
"election commission"	0.0707164
"Wal-Mart Stores Inc."	0.0705545
"State Statistical Bureau"	0.0703997
"Thai Farmers Bank"	0.0703958
"Interior Ministry"	0.0703646
CIRC	0.0702925
Kyprianou	0.0702357
Sakhalin	0.0701114
"Investors Service"	0.0699535
Aegon	0.0699418
"Chinese Foreign Ministry"	0.069917
"U.N. World Food Program"	0.0697054
"Adobe Systems"	0.0695773
Difrancesco	0.0695278
HSBC	0.0694486
"U.S. Agriculture Department"	0.0693161
"Ministry of Education"	0.0691314
"CBS Corp."	0.0690365
"National Semiconductor"	0.0689428
"Olympic Council of Asia"	0.0688837
"Enron Corp."	0.0687428
Hewlett	0.0686395
"Dow Jones &AMP; Co."	0.0686085
))
("Bank of Italy" (desc 1012.16) (sims
"Bank of Israel"	0.254724
"Philippine Central Bank"	0.187394
PBC	0.180091
"Bank of Canada"	0.177396
"Bank of Zambia"	0.173324
"Bank Negara"	0.162894
"Bangladesh Bank"	0.156889
"Reserve Bank of Australia"	0.153237
"Bank of Thailand"	0.148376
RBA	0.145642
"reserve bank"	0.140791
"Central Bank of Nigeria"	0.139176
"Bank of England"	0.138951
"Central Bank of Kenya"	0.125239
PBOC	0.12471
"Bank Indonesia"	0.124095
BOJ	0.123588
"Bank of Uganda"	0.121797
"People's Bank of China"	0.119399
CBK	0.116193
PLN	0.113734
Bundesbank	0.113253
Bi	0.111089
"Reserve Bank of India"	0.108567
"Bank of China"	0.103311
"Federal Reserve Board"	0.100042
"Lagos State"	0.0999397
"Lower Saxony"	0.0991319
"U.S. Federal Reserve"	0.0988299
"U.S. Fed"	0.0968351
"Bank of Japan"	0.0964924
"International Amateur Athletics Federation"	0.0925428
"State Bank of Pakistan"	0.0898315
"European Central Bank"	0.0893429
"national bank"	0.088315
"Monetary Policy Committee"	0.0878226
ECB	0.0847891
"Quintana Roo"	0.0845042
Hesse	0.0826763
"U.S. Labor Department"	0.0825874
WPP	0.0802427
"Development Bank of Singapore"	0.0801183
EOHR	0.0801
"Thai Farmers Bank"	0.0800706
IAI	0.079535
"U.S. Agriculture Department"	0.0792688
"International Ski Federation"	0.0789454
Tat	0.0788357
UAL	0.0771319
"Russian Space Agency"	0.0770927
"Defense Agency"	0.0767949
"BankAmerica Corp."	0.0767216
Ghosn	0.0763716
"Dow Jones &AMP; Co."	0.0756582
"U.S. Treasury Department"	0.0754118
"Israeli Foreign Ministry"	0.075049
"U.S. Commerce Department"	0.0749748
"Sony Corp."	0.0747749
"Hong Kong Monetary Authority"	0.0744959
"Straits Times"	0.0744767
Guanajuato	0.0738242
SFA	0.0737425
"Chevron Corp."	0.0734129
PTT	0.0731441
Eximbank	0.0729963
"International Amateur Athletic Federation"	0.0727502
BOC	0.0727378
Caprivi	0.0726415
"Balanced Budget Act"	0.0724496
"U.S. Census Bureau"	0.0722847
"Air Line Pilots Association"	0.072145
ITC	0.0716657
IEA	0.0712688
"BellSouth Corp."	0.071139
"Saudi Press Agency"	0.0709657
HKFA	0.0707587
Samara	0.0702332
"Agence France Presse"	0.0702034
"Business Day"	0.0694491
"Ford Motor Company"	0.0692586
"Tourism Authority of Thailand"	0.0691822
"Chase Manhattan Corp."	0.0691179
"Philip Morris Cos."	0.06903
"Investors Service"	0.0684164
"Bank of Scotland"	0.0682658
CDB	0.0682127
"East African Standard"	0.0677149
"Nihon Keizai Shimbun"	0.067433
"Macao Government"	0.0671
"Hearst Corporation"	0.0670488
"Prudential Insurance Co."	0.0670287
Herat	0.0668211
"UAL Corp."	0.0667161
"Commerce Department"	0.0664546
API	0.0660603
SDB	0.0660111
"New South"	0.065978
"Bank of Korea"	0.0657626
"Supreme People"	0.0656935
"Seagram Co."	0.0655889
"New Nigerian"	0.0651882
"International Association of Machinists"	0.0651247
USDA	0.0649994
Krasnoyarsk	0.064883
"RJR Nabisco"	0.0648357
"Post Express"	0.0648277
Eurostat	0.0647111
"U.S. Defense Department"	0.0646273
"European Bank for Reconstruction"	0.064597
"First Union Corp."	0.0645143
"Ghana News Agency"	0.0644122
"American Petroleum Institute"	0.0643336
"Statistics Canada"	0.064281
Bridgestone	0.0642051
"State Development Bank"	0.0641163
"Radio Uganda"	0.0641054
Sowetan	0.0639625
Zacatecas	0.063898
"National Education Association"	0.0634901
"Construction Bank of China"	0.0634406
Saxony	0.0632278
Omnicom	0.0632222
"True North"	0.0631514
"Minas Gerais"	0.0629226
HCFA	0.0627421
"Volkswagen AG"	0.062689
"Pepsico Inc."	0.0626411
"Pacific Lumber"	0.0625571
FOMC	0.062504
WIPO	0.0624935
"U.S. Soccer Federation"	0.0622886
ICBC	0.0622104
"State Statistical Bureau"	0.062199
"Citigroup Inc."	0.0621605
AFA	0.0620388
"Hyundai Group"	0.0617497
Hurriyet	0.0614507
"Federated Department Stores"	0.0612329
NTT	0.061144
"Revolutionary Guards"	0.0610557
"Aetna Inc."	0.0608716
Publicis	0.0607951
"Cendant Corp."	0.0607917
Elf-Aquitaine	0.0607015
"Financial Mail"	0.0607
CPF	0.060585
Rudman	0.0605562
Gilead	0.0604697
"Bausch &AMP; Lomb"	0.0603309
CBI	0.0602331
"Health and Welfare Ministry"	0.0599083
"Israeli Defense Forces"	0.0598415
PNP	0.0597145
"Bank of Montreal"	0.0596083
"New York Times Co."	0.0595209
"Philippine News Agency"	0.0595206
"Kenyan Government"	0.0595022
"Delta State"	0.0594161
"Treasury Department"	0.0589628
CSC	0.0588994
"Department of Commerce"	0.0588083
"Business Times"	0.0586965
"Bertelsmann AG"	0.058534
"Academy of Motion Picture Arts"	0.0582744
"Screen Actors Guild"	0.0582585
AMR	0.0581013
"Export-Import Bank"	0.0580868
"Nuclear Regulatory Commission"	0.0580485
"Transport Ministry"	0.0578335
Sinaloa	0.0577517
"Education Department"	0.0577166
"College Board"	0.0576479
"Egyptian Gazette"	0.0575272
"Sanwa Bank"	0.0573958
"Morgan Stanley Dean Witter &AMP; Co."	0.0572466
"Israel Radio"	0.0572436
IDB	0.0571931
Meissner	0.0570854
Luca	0.0569102
"Olympic Committee"	0.0568041
DiCarlo	0.0567008
"International Tennis Federation"	0.0566147
"Omnicom Group"	0.0565073
"Berkshire Hathaway"	0.0565022
"Tehran Times"	0.0564904
UCI	0.0564657
"Bank of America"	0.0563959
PCC	0.0563517
"International Cycling Union"	0.0562817
ICI	0.0562239
Teresi	0.0561875
Sakhalin	0.0561532
"SBC Communications Inc."	0.0557567
"Jerusalem Post"	0.0555725
SDPC	0.0554636
Konka	0.0553654
"Viacom Inc."	0.0553466
"Interior Department"	0.0552744
"Cuban American National Foundation"	0.055245
IAAF	0.0552314
))
("Bank of Japan" (desc 13346.6) (sims
BOJ	0.208118
"Reserve Bank of Australia"	0.199065
"Bank of Japan Ltd."	0.195622
"U.S. Federal Reserve"	0.177418
"central bank"	0.176838
"Bank of Thailand"	0.173617
"Long-Term Credit Bank"	0.168402
"European Central Bank"	0.167973
"reserve bank"	0.165468
"Bank of England"	0.165274
LTCB	0.151287
"Reserve Bank of India"	0.144553
"Bank of Israel"	0.142543
RBA	0.142456
"Federal Reserve"	0.141353
"Federal Reserve Board"	0.139957
Fed	0.139564
ECB	0.131998
"Nippon Credit Bank"	0.12448
"Bank Indonesia"	0.121674
Bundesbank	0.119954
"Bank of Uganda"	0.116175
"Bank of China"	0.11124
"Hong Kong Monetary Authority"	0.110842
"Central Bank of Nigeria"	0.110075
"Bank of Canada"	0.110069
"World Bank"	0.109247
"People's Bank of China"	0.106009
"national bank"	0.105541
"U.S. Fed"	0.104059
"Asian Development Bank"	0.103887
"Bank of Zambia"	0.103712
"International Monetary Fund"	0.103055
"commercial bank"	0.102932
"Philippine Central Bank"	0.100575
"Bangladesh Bank"	0.0973148
"Finance Ministry"	0.0965645
"Bank of Italy"	0.0964924
"Bank Negara"	0.0948985
"Nippon Credit"	0.0934736
PBOC	0.093409
IMF	0.092025
ADB	0.0919219
SDB	0.091506
"Sakura Bank"	0.0894185
"State Development Bank"	0.0888864
"U.S. Treasury"	0.0888366
HKMA	0.0887106
"Ministry of International Trade and Industry"	0.0881149
Eximbank	0.0878754
"financial institution"	0.0878239
"Agriculture Ministry"	0.0843205
EBRD	0.083731
"Federal Communications Commission"	0.0830139
IDB	0.0825122
"Economic Planning Agency"	0.0818399
"Fuji Bank"	0.0809582
BOC	0.079886
"Deutsche Bank"	0.0795054
"Export-Import Bank"	0.0789934
"Ministry of Finance"	0.0779733
Bi	0.0770239
OPEC	0.0759961
"State Bank of Pakistan"	0.0758411
"Labor Ministry"	0.0755392
"Inter-American Development Bank"	0.0750081
"Census Bureau"	0.0747943
"Yamaichi Securities Co."	0.0736185
"Bank of Tokyo-Mitsubishi"	0.0732441
FCC	0.0722508
"Justice Ministry"	0.0720058
"Bangkok Bank"	0.0717345
CDB	0.0709778
"Overseas Economic Cooperation Fund"	0.0700167
"U.S. Agriculture Department"	0.069884
"National Highway Traffic Safety Administration"	0.0698802
"Central Bank of Kenya"	0.0698695
FTC	0.0697977
"State Development Planning Commission"	0.0691919
"Department of Health"	0.0689661
"International Badminton Federation"	0.0688927
"Sanwa Bank"	0.068827
"State Statistics Bureau"	0.0687746
CCB	0.0687634
"finance company"	0.068711
"Organization of Petroleum Exporting Countries"	0.068675
"Education Ministry"	0.0679555
"Ministry of Health"	0.0679126
"Dai-Ichi Kangyo Bank"	0.0679058
USDA	0.0677153
"Daewoo Group"	0.0676775
"BP Amoco"	0.0676147
BOI	0.0674355
"African Development Bank"	0.0673119
"International Finance Corporation"	0.067137
"Clinton Administration"	0.0666639
"College Board"	0.0666605
CBK	0.0662454
ICBC	0.065993
lender	0.0658177
"European Commission"	0.0655591
"International Olympic Committee"	0.0654599
"International Development Association"	0.065314
NiSource	0.0652034
"Labor Department"	0.0646043
"English Football Association"	0.064512
"Federal Trade Commission"	0.0642502
Sibneft	0.0641924
Histadrut	0.0641823
"Immigration and Naturalization Service"	0.0640412
"federal government"	0.0639549
"Fannie Mae"	0.0637606
"Energy Department"	0.0633394
"Agency for International Development"	0.0632833
"Russian bank"	0.0631385
EOHR	0.0630746
"Investors Service"	0.0630215
"Bankers Trust Corp."	0.0622984
CBI	0.0620134
RJR	0.0617315
"State Planning Commission"	0.0616949
"U S West"	0.0614364
NatWest	0.0612083
"Health and Welfare Ministry"	0.0611846
Pentagon	0.0610401
"Agriculture Department"	0.0609014
"Education Department"	0.0608715
"Kaiser Family Foundation"	0.0606767
"Bank of America"	0.0605926
"Chrysler Corp."	0.0605323
"Interior Ministry"	0.0604953
INS	0.060331
"U.S. State Department"	0.0602701
"National Election Committee"	0.0601614
"Conference Board"	0.0599411
"State Statistical Bureau"	0.0599071
"Commerce Ministry"	0.0597905
"Football Association"	0.0597396
"Federal Reserve Bank"	0.0597228
"Societe Generale"	0.0596993
"Sumitomo Bank"	0.0596753
AFL-CIO	0.0596307
PTT	0.0595134
BofA	0.0594195
IFC	0.0592753
insurer	0.0592272
"Health Department"	0.0592117
"Interior Department"	0.05904
"National Transportation Safety Board"	0.0589974
"Nuclear Regulatory Commission"	0.0589021
"Financial Supervisory Agency"	0.0588412
"Environmental Protection Agency"	0.0585648
"board of education"	0.0585109
FOMC	0.058454
HSBC	0.0583493
"U.S. Soccer Federation"	0.0582882
"Arab League"	0.0580738
SSB	0.0580082
"Foreign Ministry"	0.057981
Daewoo	0.0579064
"municipal government"	0.0578383
"Bureau of Labor Statistics"	0.057766
"monetary fund"	0.057715
"European Investment Bank"	0.057699
"election commission"	0.0576246
"Justice Department"	0.0575596
"Commerce Department"	0.0575387
"Russian Foreign Ministry"	0.0574568
SOCOG	0.0573937
ministry	0.0573287
"Telecom Italia"	0.057279
BankBoston	0.0572363
USOC	0.0572353
Aetna	0.0572338
FAA	0.0570219
ABSA	0.0569845
Marketspan	0.0569492
"United States government"	0.0569463
"Department of Housing and Urban Development"	0.0569124
"U.S. Environmental Protection Agency"	0.0568731
"Credit Suisse"	0.0568099
EPA	0.0568004
"Food and Drug Administration"	0.0567893
"Canadian Airlines"	0.0567491
"Department of Labor"	0.0567412
Zagat	0.0566983
"Nissan Motor Co."	0.0566607
Paribas	0.0564881
USEC	0.056422
"North Atlantic Treaty Organization"	0.0564209
"Republican National Committee"	0.0564071
GPU	0.0562253
"Defense Ministry"	0.0561846
"Industrial Bank of Japan"	0.0561708
"Morgan Stanley"	0.0561348
Renault	0.0560208
"Hong Kong Tourist Association"	0.0560135
"Transport Ministry"	0.0560111
"RJR Nabisco"	0.055895
"Truth Commission"	0.0558639
))
("Bank of Japan Ltd." (desc 1646.76) (sims
"Long-Term Credit Bank"	0.23244
"Bank of Japan"	0.195622
LTCB	0.183494
"Bankers Trust Corp."	0.175424
"Nippon Credit Bank"	0.174536
"merchant bank"	0.122746
"finance company"	0.120702
"Daewoo Group"	0.115185
"Chase Manhattan Bank"	0.113767
"Nippon Credit"	0.112121
"Philippine Airlines"	0.110277
"Chrysler Corp."	0.100774
"Nomura Securities"	0.0940898
Paribas	0.0929957
"Thomson Multimedia"	0.0925829
"Nissan Motor Co."	0.0921107
"National Abortion and Reproductive Rights Action League"	0.0916223
"Mobil Corp."	0.0903867
"True North"	0.0898889
SkyTel	0.089813
"Belmont Learning Center"	0.0879633
"child welfare agency"	0.0874807
"Yamaichi Securities Co."	0.0873552
"Nissan Motor"	0.0872338
"MCI Communications Corp."	0.0869878
"coal industry"	0.086661
"BankAmerica Corp."	0.0846092
Conrail	0.084105
Lilco	0.0823154
Sibneft	0.0815403
"Bangkok Bank"	0.0810641
"Atlantic Richfield Co."	0.080856
"World Bank Group"	0.0804287
"RJR Nabisco"	0.079115
"Chase Manhattan Corp."	0.0763128
"Y&AMP;R"	0.0747774
"Burlington Northern"	0.0744053
"Dresdner Bank"	0.0738663
"Times Mirror Co."	0.0736416
"Times Co."	0.0735697
cardholders	0.0731009
"U.S. Trust"	0.0730797
"CMGI Inc."	0.072632
"MindSpring Enterprises"	0.0720934
"Thomson CSF"	0.0719762
"Bausch &AMP; Lomb"	0.0718295
"Atlantic Richfield"	0.071461
Kia	0.0712965
"Bankers Trust"	0.070412
"Citigroup Inc."	0.0699356
"Myanmar Embassy"	0.069833
"Wireless HKT"	0.0698238
"investment fund"	0.067843
Lagardere	0.0673875
Elf-Aquitaine	0.0672019
"AMR Corp."	0.0659222
WPP	0.0647276
"Russian bank"	0.0645631
BankAmerica	0.0645083
"NEC Corp."	0.0642961
"Andreas Papandreou"	0.0637917
thrift	0.0636165
"trust company"	0.0629945
"Wells Fargo"	0.0629666
"National Grid"	0.0629097
McKesson	0.0627113
"Long-Term Capital Management"	0.0626953
"American International Group"	0.0626837
AMR	0.0626185
"Sanwa Bank"	0.0624184
PLDT	0.061764
ZCCM	0.0615284
worthiness	0.0612991
"savings and loan"	0.061179
"International Business Machines Corp."	0.0606519
NiSource	0.060264
issuers	0.0597503
"department store chain"	0.0592481
"Newport News"	0.0587761
carmaker	0.0587558
"Apollo Theater"	0.0587146
"incentive plan"	0.0584801
"Lotus Development Corp."	0.0581299
"Intelligence Ministry"	0.0578213
"Exxon Corp."	0.0577631
DLC	0.0570582
"quota system"	0.057056
"Bank Bali"	0.0569546
Mapes	0.0567759
"Bank of America"	0.0566404
E-LOAN	0.0563142
"Royal Opera House"	0.0559434
Avondale	0.0559194
"American Home"	0.0557504
"Sony Corp."	0.0555537
RJR	0.0554433
"Telecom Italia"	0.0553645
Mannesmann	0.0553303
"Gap Inc."	0.0552953
"building society"	0.0551212
"Service Employees International Union"	0.0551079
"Air Canada"	0.0550763
VEBA	0.0548881
Pharmacia	0.0547392
"Xerox Corp."	0.0546604
"aerospace giant"	0.054482
"Hyundai Group"	0.054373
Interpublic	0.0540914
Schlumberger	0.0540495
"Societe Generale"	0.0538555
"Tele-Communications Inc."	0.0538076
"insurance firm"	0.0537902
"three units"	0.0536277
BofA	0.0536272
"Frontier Corp."	0.0535706
"Seagram Co."	0.0535369
"Micron Technology"	0.0535213
"Wal-Mart Stores"	0.0533158
"monetary fund"	0.0532806
bondholder	0.0532491
REITs	0.0531893
corporates	0.0531667
"American Home Products"	0.0531175
PaineWebber	0.0531063
Godfrey	0.0530808
"National Semiconductor"	0.0530661
"disability insurance"	0.0524969
T-bonds	0.0522723
"Federated Department Stores"	0.0522456
Bestfoods	0.0519213
"Better Business Bureau"	0.0516827
"Harvard Pilgrim Health Care"	0.0516339
Livent	0.0516081
"Royal Bank"	0.0514911
"Southern Command"	0.051463
co-op	0.0512714
Barclays	0.0510578
CompUSA	0.0510146
"Tampa Bay Lightning"	0.0507941
creditworthiness	0.0507846
zingers	0.0507534
Litton	0.0505746
Diageo	0.0504228
DrKoop.com	0.0504012
"American Home Products Corp."	0.0502738
"Long-Term Capital"	0.050251
ExciteAtHome	0.0502131
"Thai Farmers Bank"	0.0502048
"Dow Jones &AMP; Co."	0.05009
"Los Angeles Unified School District"	0.0498769
"King Fahd"	0.0497778
"Stan Collymore"	0.0495049
"Big Dig"	0.0493056
Telefonica	0.0492795
Railtrack	0.0492449
TCI	0.0492263
Warner-Lambert	0.0490499
Daewoo	0.0486667
Fuhrman	0.0485879
Schmitz	0.0485805
Citicorp	0.0484586
"J&AMP;J"	0.0483767
"restaurant chain"	0.0482809
Commerzbank	0.0481154
"Suez Canal"	0.0480988
"Israeli Cabinet"	0.0480839
"Waste Management"	0.0480522
Craxi	0.0479394
"purchase contract"	0.0478235
"Panama Canal"	0.0478125
"brokerage house"	0.0477303
"Harvard Pilgrim"	0.0475919
"Zimbabwean dollar"	0.0474925
"McDonnell Douglas"	0.0470887
ARCO	0.0470772
"Millennium Dome"	0.0469814
"Pepsico Inc."	0.0468589
"Saatchi &AMP; Saatchi"	0.046787
Transamerica	0.0466464
Sino-African	0.0465927
"Communications Workers of America"	0.0464926
Checkfree	0.0463293
"U S West"	0.0461961
"non-performing loans"	0.0460343
"Lawrence Phillips"	0.0459766
"electronics company"	0.0459268
Sogo	0.0458917
"Daimler-Benz AG"	0.0458884
"National Academy of Sciences"	0.0458805
"US Airways"	0.0458797
Pearson	0.0458307
Genzyme	0.0458304
"General Electric Co."	0.0458297
Comsat	0.0457955
"Ministry of Posts"	0.0457877
Nabisco	0.0457752
VFA	0.045694
SmithKline	0.0456104
"Siamese twin"	0.0454719
Glaxo	0.0454189
))
("Bank of Korea" (desc 1080.69) (sims
"Bank of Israel"	0.220584
"Central Bureau of Statistics"	0.171602
"Bank of Zambia"	0.151716
"Bank of Uganda"	0.144807
"Bank Negara"	0.139832
"Bangladesh Bank"	0.138783
"reserve bank"	0.131061
Singson	0.129804
"Bank Indonesia"	0.12604
Okada	0.124429
"Hong Kong Monetary Authority"	0.1241
Xiang	0.122629
Strauss-Kahn	0.12046
"U.S. Defense Department"	0.116102
Solis	0.115943
Heinrichs	0.1155
"Reserve Bank of Australia"	0.115444
"National Bureau of Statistics"	0.115248
"Central Election Commission"	0.109245
Passarella	0.109138
Finkel	0.108373
Fleischer	0.104494
"Nihon Keizai"	0.102984
Piot	0.102911
"Lee Hsien Loong"	0.101507
Paxon	0.100365
Jacquet	0.100278
Harmoko	0.100073
Bundesbank	0.0997949
"Consumer Product Safety Commission"	0.0990299
"People's Bank of China"	0.0988518
Nadler	0.0980863
"U.S. Census Bureau"	0.0979022
"Reserve Bank of India"	0.0975211
"Census and Statistics Department"	0.0973699
"Bank of Thailand"	0.0971089
Grasso	0.0970077
"Kathmandu Post"	0.0946472
Molinari	0.094573
Anatolia	0.0943739
"U.S. Labor Department"	0.0942513
Ganassi	0.0937735
"administration official"	0.0936466
Rubenstein	0.0935799
Aventajado	0.0935657
Meissner	0.0934714
"British Foreign Office"	0.0934682
Hybl	0.0931049
Satcher	0.0927151
"Korean Central News Agency"	0.0926157
"Agence France Presse"	0.0925853
IEA	0.0922751
"Israeli Foreign Ministry"	0.0921588
Gogel	0.0912431
Borbon	0.090623
Prewitt	0.0903537
Cota	0.0903461
PBOC	0.0901542
Moakley	0.0899475
"Labor Ministry"	0.0898913
"New Korea Party"	0.0896285
"Macao Daily News"	0.0888615
Manley	0.0887039
Andreychuk	0.0881954
Rothenberg	0.0880576
Lehane	0.0880054
Malu	0.0880045
Koskinen	0.0871877
Rossotti	0.0871561
"de Charette"	0.0869896
Morgenthau	0.086824
Coen	0.0868083
"Nielsen Media Research"	0.0866479
Weisman	0.0864715
Tarawneh	0.0864208
"Philippine Central Bank"	0.0862982
"Statistics Canada"	0.0862136
Wenger	0.0860974
"Dai Xianglong"	0.08595
Insulza	0.0858767
Bettman	0.0858657
Polian	0.0857521
"Agriculture Ministry"	0.085652
Scharping	0.0855328
"Orlando Mercado"	0.0853652
Ebersol	0.0852565
Ainge	0.0851814
Talebi	0.0845293
Butterworth	0.0843764
Brundtland	0.084057
Sheng	0.0837814
Ruehe	0.0836827
Pustovoitenko	0.0835732
Tuberville	0.0834231
seismologist	0.0833503
Rahal	0.0831848
Difrancesco	0.0830679
"State Statistical Bureau"	0.0826182
Valenti	0.0825231
McCarron	0.082154
"Ministry of Trade and Industry"	0.0820328
"Vietnam News"	0.0814305
"Vietnam News Agency"	0.0814045
Tsang	0.0813415
Hyman	0.0805194
Auriemma	0.0805147
Sahadi	0.0804856
"Business Times"	0.0804842
Mandella	0.0803278
Ogata	0.0802439
"U.S. Commerce Department"	0.0801651
Cui	0.0800441
Moyo	0.0798523
Haines	0.079588
"Straits Times"	0.0794555
Scelzi	0.0794493
"Labor office"	0.0794379
Robson	0.0793852
"China Daily Business Weekly"	0.0793798
"Australian Bureau of Statistics"	0.0792947
Schmid	0.0788163
Bodine	0.0784372
Surin	0.0783815
Mullinax	0.078159
Velayati	0.077987
Flanagan	0.0777903
Sumaye	0.077558
Solich	0.0774768
Gossage	0.07741
Beckwith	0.0774015
"Home Ministry"	0.077326
"Rich Brooks"	0.0771528
beamer	0.0770912
LaPierre	0.0770026
"Moscow Times"	0.0769929
Sobel	0.0768704
"National Association of Realtors"	0.0767947
Ikimi	0.0767604
Feng	0.0765783
Antara	0.0765074
Naumann	0.0764197
MURTHA	0.0764095
Sheehan	0.0758929
Atler	0.0754819
Hartsburg	0.0754785
espana	0.0754757
MAS	0.0754263
Poole	0.0753748
Knapp	0.0752961
Copeland	0.0752682
Waxman	0.0749832
IDC	0.0748965
"Finance Ministry"	0.0747098
Jayakumar	0.0746258
"State Statistics Bureau"	0.074447
ABS-CBN	0.0741672
Aleman	0.0739024
Maldini	0.0738079
Dar	0.0736565
Rylander	0.0735518
"Bank of England"	0.0734549
"U.N. World Food Program"	0.0733445
Zeng	0.073212
Mercado	0.0730502
"Gulf News"	0.0730078
Atwood	0.0729644
Wald	0.0726781
Upton	0.0726358
Cowan	0.0726078
Goossen	0.0725657
Barros	0.0724496
"Khaleej Times"	0.072355
Tomey	0.0722166
Guerra	0.0722047
Gullikson	0.0721795
Zadornov	0.0721719
McCurry	0.0720423
Maslyukov	0.072033
Ratliff	0.0720178
Kyprianou	0.072015
"Kyodo News"	0.0719452
Wilhelm	0.0719153
Zou	0.0718844
Pitney	0.0717819
Lockyer	0.0714903
Azizah	0.0713639
Siegel	0.0710376
"Thai News Agency"	0.0710342
SSB	0.0709903
Suarez	0.0709742
Boueiz	0.070921
Dewine	0.0709047
KPL	0.0708139
"Bill Lockyer"	0.0707948
Fraga	0.0706042
"British government"	0.0705087
Geiger	0.0704213
"Economic Planning Agency"	0.0701368
Rais	0.0700669
Bi	0.0699803
))
("Bank of Montreal" (desc 1432.74) (sims
"National Association of Realtors"	0.140407
"Ford Motor Company"	0.136945
"Royal Bank"	0.130304
"Times Co."	0.123317
"Hughes Electronics Corp."	0.121337
"New York Times Co."	0.113963
"American International Group"	0.107183
"Securities Industry Association"	0.105742
"Cendant Corp."	0.105631
"CBS Corp."	0.102484
"BankBoston Corp."	0.100033
"American Petroleum Institute"	0.0997627
"UAL Corp."	0.097611
"Halliburton Co."	0.0973366
"Prudential Insurance Co."	0.0954499
Interpublic	0.0953688
"Nomura Securities"	0.0944796
"Chevron Corp."	0.0942393
"Morgan Stanley Dean Witter"	0.0939745
"Times Mirror Co."	0.0925392
"First Union Corp."	0.0922892
"Symantec Corp."	0.0917342
"Travelers Group"	0.0895901
"Viacom Inc."	0.0888215
"Dow Jones &AMP; Co."	0.0887831
"Federated Department Stores"	0.0886695
"General Motors Corp."	0.0885901
DRI	0.0882091
"Bank of Israel"	0.0881295
"Gap Inc."	0.0862509
WPP	0.0843956
"Goldman, Sachs &AMP; Co."	0.0842205
Equifax	0.0841727
"National Grid"	0.0839455
"Chase Manhattan Corp."	0.0835891
SAirGroup	0.0833585
"Central Bank of Nigeria"	0.0826728
Publicis	0.08226
"National Semiconductor"	0.0821716
"Aetna Inc."	0.0802735
"Northeast Utilities"	0.0801029
"Mattel Inc."	0.0799224
"General Electric Co."	0.0797711
"SBC Communications Inc."	0.0797258
"Air Transport Association"	0.0796751
YankeeNets	0.0793349
"House Budget Committee"	0.078853
"Seagram Co."	0.0768145
"Knight Ridder"	0.0760294
"Hughes Electronics"	0.0760106
"Airport Authority"	0.0758157
"Hewlett-Packard Co."	0.0757261
"Pepsico Inc."	0.07572
"Reed Elsevier"	0.0755722
"U.S. Agriculture Department"	0.0755593
"Hearst Corporation"	0.0755359
Cablevision	0.0751955
"National Federation"	0.0747383
"Bank of Scotland"	0.0747099
"Raytheon Co."	0.0746779
"Hyundai Group"	0.0746151
"Time Warner Inc."	0.0745066
"Volkswagen AG"	0.0741855
"Deloitte &AMP; Touche"	0.0737942
"National Association of Manufacturers"	0.0736209
"Federal Reserve Bank"	0.0734404
"Mobil Corp."	0.0729538
"AMR Corp."	0.0729214
"Gillette Co."	0.072632
"Deutsche Bank"	0.0723859
"Royal Bank of Scotland"	0.0712706
"Transparency International"	0.0709456
"Atlantic Richfield"	0.0709114
"Merrill Lynch &AMP; Co."	0.0709081
"Communications Workers of America"	0.070896
"Oracle Corp."	0.0707614
"Berkshire Hathaway"	0.0707488
"George E. Pataki"	0.0706346
"British Telecom"	0.0706254
"Texaco Inc."	0.0701725
"Goldman Sachs Group"	0.0694671
"Levi Strauss &AMP; Co."	0.0693555
"Housing Authority"	0.0692369
"Siemens AG"	0.0690159
MetLife	0.0687907
"HBO &AMP; Co."	0.0686424
"Conference Board"	0.0685556
"Wal-Mart Stores Inc."	0.0684714
"Coca-Cola Co."	0.0684579
Viacom	0.0683246
"Consumer Federation"	0.0679917
"Central Bureau of Statistics"	0.0678343
"Credit Suisse First Boston"	0.0676845
"Fleet Financial Group"	0.0673394
"Donaldson, Lufkin &AMP; Jenrette"	0.0669286
"CMGI Inc."	0.0667756
GEC	0.0660565
AMR	0.0659514
"Philip Morris Cos."	0.0656715
MACROMEDIA	0.0656252
Pepsico	0.0655765
"GE Capital"	0.0653833
"Warburg Dillon Read"	0.0653506
Federated	0.0653325
"Sony Corp."	0.0653196
"John Hancock"	0.0652552
"Fallon McElligott"	0.0649661
"Department of Foreign Affairs"	0.0645997
"Motorola Inc."	0.0639738
"Lehman Brothers"	0.0638405
"Walt Disney Co."	0.0637606
Westinghouse	0.0634264
"Bankers Trust Corp."	0.0634085
"True North"	0.0633526
UAL	0.0633303
GANNETT	0.0631779
"English Football Association"	0.0631517
Halliburton	0.0630736
"Orange County Register"	0.062886
"Boston Scientific"	0.0628333
AIG	0.062744
"Silicon Graphics"	0.062587
"El Mundo"	0.0622835
"Wells Fargo"	0.062164
"Enron Corp."	0.0619901
"People's Bank of China"	0.0619597
"Times Mirror"	0.0619333
"U.S. Trust"	0.0618513
"National Election Committee"	0.0617999
"Sara Lee"	0.0616143
"Ethiopian Airlines"	0.0616044
"J.P. Morgan &AMP; Co."	0.0614634
"Senate Budget Committee"	0.061158
Novartis	0.0611297
"International Business Machines Corp."	0.0610435
"Merrill Lynch"	0.0606276
"Department of Labor"	0.0605749
Yukos	0.0603609
"Dow Chemical"	0.0603049
"Bear Stearns"	0.0603035
"Ameritech Corp."	0.0601931
Omnicom	0.0600498
"Ford Motor"	0.05972
"RJR Nabisco"	0.0596873
"Bank of Italy"	0.0596083
"Bear Bryant"	0.0591914
"Citigroup Inc."	0.0589989
"Hongkong Telecom"	0.0589085
NatWest	0.0588736
"Goldman Sachs"	0.058839
"Dell Computer Corp."	0.0588305
"Atlantic Richfield Co."	0.0587754
CITIC	0.058762
"American Lung Association"	0.058662
"Chronicle Publishing"	0.0582086
Kemper	0.0581424
PATA	0.058014
Primedia	0.0580044
"China Securities Regulatory Commission"	0.0579476
Instinet	0.0578247
"Sydney Organizing Committee"	0.0577129
"Hang Seng Bank"	0.0574694
"State Bank of Pakistan"	0.0572411
Tenneco	0.0570734
"SBC Communications"	0.0569898
"Ministry of Interior"	0.0569633
CNOOC	0.0569349
"Health and Human Services Department"	0.0567718
"National Electoral Commission of Nigeria"	0.0565789
"General Electric"	0.0565239
"American Home Products"	0.0564001
"BankAmerica Corp."	0.0563927
Marketspan	0.0563692
"Democratic Congressional Campaign Committee"	0.0563295
"Con Ed"	0.0562267
Americas	0.0560827
"Burlington Northern"	0.0560374
"Exxon Corp."	0.0559767
"National Republican Congressional Committee"	0.0559752
"Hong Kong Telecom"	0.0559701
"State Peace and Development Council"	0.0559464
"British Aerospace"	0.0558181
"Deutsche Bank AG"	0.0557983
"Audubon Society"	0.055787
Donaldson	0.0556132
"Omnicom Group"	0.0554875
"Andersen Consulting"	0.0553853
"MCI WorldCom"	0.0553762
"UBS AG"	0.0553715
"HSBC Holdings"	0.0552602
"BellSouth Corp."	0.0551034
"Trans World Airlines"	0.0550287
"history department"	0.0550239
"National Association of Securities Dealers"	0.05486
"Kenya Airways"	0.0548259
Dragonair	0.0548248
"MindSpring Enterprises"	0.0548185
"Ford Motor Co."	0.0547794
"Thai Farmers Bank"	0.0547345
quorum	0.0547008
))
("Bank of New York" (desc 10863.4) (sims
"Bank of America"	0.128429
"Chase Manhattan Bank"	0.12082
"Bankers Trust"	0.117402
"Wells Fargo"	0.113947
SDB	0.113195
Citibank	0.110955
BankAmerica	0.110813
BankBoston	0.107745
BofA	0.102556
Citicorp	0.0995622
"Deutsche Bank"	0.0992107
"Chase Manhattan"	0.0966539
Eximbank	0.0956242
"First Union"	0.0945749
Benex	0.0922762
"Morgan Stanley"	0.0897599
Mabetex	0.0885304
UBS	0.0870723
NationsBank	0.0861889
"Y&AMP;R"	0.0856744
Citigroup	0.0854696
"Credit Suisse"	0.085433
Clinton-Lewinsky	0.0844869
Iran-contra	0.0830817
"Bear Stearns"	0.0826365
"First Union Corp."	0.0826039
Norwest	0.0816905
"Rampart Division"	0.0816691
McKesson	0.0810631
AIG	0.0806373
ICBC	0.0797476
Livent	0.0793308
"Saatchi &AMP; Saatchi"	0.0792276
"Dresdner Bank"	0.0785532
"Goldman Sachs"	0.0775929
Monsanto	0.07711
NORTHROP	0.0771099
"Deutsche Bank AG"	0.0767053
HSBC	0.0758645
"MCI WorldCom"	0.0758639
Sumitomo	0.0753179
"U S West"	0.0738321
"Gap Inc."	0.0736918
Merrill	0.073684
PaineWebber	0.0736692
Kagalovsky	0.0734525
IMG	0.0730427
ALZA	0.0727731
WorldCom	0.072582
RJR	0.0723496
NatWest	0.072263
Cendant	0.0720865
"New York Times Co."	0.0718514
Pfizer	0.0714919
"Eastman Kodak"	0.0712065
Pepsico	0.0709396
LTCB	0.0708592
AMR	0.0707885
Federated	0.0705606
Sunbeam	0.0703984
"P&AMP;G"	0.0702607
Aetna	0.0699608
REVLON	0.0699205
Unilever	0.0696999
ADM	0.0695098
"Harvard Pilgrim"	0.0695013
"Thermo Electron"	0.0693743
"Time Warner"	0.0692454
"HBO &AMP; Co."	0.0691491
"Sara Lee"	0.0690662
"Johnson &AMP; Johnson"	0.0689587
All-Tech	0.068879
"Georgia Power"	0.0687727
Datek	0.0687432
WPP	0.0684231
"Bank Bali"	0.0683965
EarthLink	0.0683641
"Tribune Co."	0.0683545
Bertelsmann	0.0682966
Mannesmann	0.068268
Schwab	0.0682644
Warner-Lambert	0.0681275
"Housing Authority"	0.0680724
SmithKline	0.0679915
"GE Capital"	0.0679882
ETrade	0.0679801
Biogen	0.0677637
"American Home"	0.0676662
"BP Amoco"	0.0676079
Alltel	0.0676028
"ABN AMRO"	0.0675805
"Societe Generale"	0.0675161
Deutsche	0.0673382
Honeywell	0.0669179
SLOC	0.0668635
"Coca-Cola Co."	0.0668121
"Bell Atlantic"	0.0666554
"Phelps Dodge"	0.06642
"Times Co."	0.0661943
"American International Group"	0.0661364
"Merrill Lynch"	0.0660197
Checkfree	0.0659979
Daimler	0.0659737
ENTREMED	0.0657325
Menatep	0.0657056
"Deutsche Telekom"	0.0655269
Dresdner	0.0655107
VENATOR	0.0654755
"Coca-Cola Enterprises"	0.0652731
Starwood	0.0652474
Lockheed	0.0651703
Paribas	0.0651061
"UBS AG"	0.0648301
"Hearst Corp."	0.0646692
Coca-Cola	0.0646109
BOC	0.0644222
SGI	0.0641606
"brokerage firm"	0.0641184
baring	0.0640543
TELLABS	0.0640407
EMC	0.0640035
Lilco	0.0639074
Halliburton	0.0638245
"Fleet Financial Group"	0.063778
"American Express"	0.063664
IDT	0.0636164
Genzyme	0.0635245
Loral	0.0635189
"Rite Aid"	0.0634637
E-LOAN	0.0632494
CUC	0.0632398
Vivendi	0.0632165
"Credit Lyonnais"	0.0631607
BellSouth	0.0630832
Marketspan	0.0630385
Georgia-Pacific	0.0628552
Emulex	0.0628508
"Con Ed"	0.062605
"News Corp."	0.0625248
"J.P. Morgan &AMP; Co."	0.062385
SCI	0.0623704
"J.P. Morgan"	0.0621355
"Chase Manhattan Corp."	0.0620444
"British Telecom"	0.0618289
ENTERGY	0.0618213
Goldman	0.0617713
"State Street"	0.0616643
Motorola	0.061512
Volvo	0.0614992
Compaq	0.0614621
SBC	0.0614096
Webvan	0.0614017
EBRD	0.0613868
Viacom	0.0613084
Mattel	0.0611833
Healtheon	0.0611182
Texaco	0.0610069
"Philip Morris"	0.0609839
Bridgestone	0.0609242
Enron	0.0607817
Publicis	0.0607576
SunTrust	0.0604954
"Time Inc."	0.0603511
Litton	0.060322
RealNetworks	0.0603137
"Monsanto Co."	0.0602989
"Bank of Tokyo-Mitsubishi"	0.0602061
Dupont	0.0601171
"Robertson Stephens"	0.060081
IBM	0.0600279
MACROMEDIA	0.0599429
Penney	0.059736
"Northern Telecom"	0.0597278
"Merrill Lynch &AMP; Co."	0.0595868
"Boston Scientific"	0.0595801
Novartis	0.0595743
"Justice Department"	0.0595258
Pinkerton	0.0594311
HKMA	0.0594195
"International Business Machines Corp."	0.0592433
"National Grid"	0.0591852
Totalfina	0.0590994
Paxson	0.0590896
GTE	0.059054
UAM	0.0589886
Ciena	0.0589823
"U.S. Trust"	0.0589512
"A.R Baron"	0.0589345
"American Home Products"	0.0589052
"Con Edison"	0.0587099
"RJR Nabisco"	0.0586099
"Defense Agency"	0.0586068
NASD	0.0585716
"Chevron Corp."	0.0584874
"Texas Instruments"	0.0584444
Seagram	0.0584185
"Apple Computer"	0.0584177
Commerzbank	0.0583679
Kroger	0.0582426
"Fidelity Investments"	0.0582239
))
("Bank of Scotland" (desc 2466.05) (sims
"Phelps Dodge"	0.303031
Olivetti	0.229387
"Royal Bank"	0.221652
NiSource	0.220917
Totalfina	0.205454
Litton	0.203188
"Pacific Century"	0.182832
NatWest	0.175618
om	0.166721
Vodafone	0.164267
"Bausch &AMP; Lomb"	0.158875
WPP	0.157534
"Boston Scientific"	0.156112
"Banque Nationale"	0.150702
McKesson	0.148904
"National Grid"	0.147871
ENTERGY	0.144256
"Hongkong Telecom"	0.138056
Emulex	0.137101
BSKyB	0.135264
Icahn	0.133544
"Vodafone Airtouch PLC"	0.132893
"Total Fina"	0.132341
"Sara Lee"	0.131896
REPSOL	0.131059
"International Paper"	0.130794
RJR	0.129957
UAL	0.129743
Alcoa	0.129118
"Allied Signal"	0.127681
"Times Co."	0.124974
"Thermo Electron"	0.124951
Qwest	0.123494
Alcan	0.12302
BCE	0.12201
"P&AMP;G"	0.120976
"Gap Inc."	0.120756
Barclays	0.120399
ALZA	0.119686
"Global Crossing"	0.118636
XYLAN	0.118372
Cabletron	0.115855
"MCI WorldCom"	0.115651
Unilever	0.114982
Genzyme	0.114961
"JDS Uniphase"	0.114848
Federated	0.11453
E-LOAN	0.113389
Tenneco	0.113189
"Advanced Micro"	0.112726
Deutsche	0.112223
Asda	0.111916
Warnaco	0.111557
SmithKline	0.110966
Healtheon/WebMD	0.110671
"Air Canada"	0.109889
SkyTel	0.109717
WELLPOINT	0.109188
Stratus	0.108439
Biogen	0.107866
MACROMEDIA	0.107476
AMR	0.106885
LVMH	0.106463
Ciena	0.105808
WorldCom	0.105449
FPL	0.104349
WebMD	0.104275
Omnicom	0.10399
Zapata	0.103316
"Deutsche Telekom"	0.103204
Medtronic	0.103017
Comcast	0.102717
"U.S. Trust"	0.102634
VENATOR	0.102013
"Cable &AMP; Wireless"	0.101789
Pfizer	0.101606
Corel	0.101424
COLTEC	0.101045
HKMA	0.100949
"Tribune Co."	0.100185
"Times Mirror"	0.100172
GANNETT	0.0994573
Clorox	0.09916
Norwest	0.0989083
AlliedSignal	0.0988668
"BP Amoco"	0.0986986
ani	0.0985689
ExciteAtHome	0.0984365
Cendant	0.0982468
Webvan	0.0975102
Generali	0.0975001
NTL	0.0974254
SAirGroup	0.0970291
"Computer Associates"	0.0968931
"Niagara Mohawk"	0.0965136
"Rite Aid"	0.0964281
"American Home"	0.096158
F.A	0.0961073
Terra	0.0961073
TYCO	0.0958907
"United Technologies"	0.0957761
Maytag	0.0955935
LIFFE	0.0949117
Cadbury	0.0947781
"Burlington Northern"	0.0947224
"Levi Strauss &AMP; Co."	0.094654
Gilead	0.0943933
IDT	0.0940983
SBC	0.0934821
Publicis	0.0934109
"British Petroleum"	0.0931507
"True North"	0.0931064
EMC	0.0930205
"Stride Rite"	0.0925077
Chiron	0.0923625
Tandy	0.0923568
Mannesmann	0.0921695
SGI	0.0920199
"HBO &AMP; Co."	0.0917582
NTT	0.0917088
Autodesk	0.0913832
Bestfoods	0.0911208
MiniMed	0.0910234
TELLABS	0.0908691
Halliburton	0.0905831
Checkfree	0.0905087
"BellSouth Corp."	0.0903658
"RJR Nabisco"	0.090341
Weyerhaeuser	0.0902293
"Vodafone AirTouch"	0.0902007
Viacom	0.0900927
"UAL Corp."	0.0898951
"Berkshire Hathaway"	0.0897399
"France Telecom"	0.0896374
"Silicon Graphics"	0.0896233
"USA Networks"	0.0894396
"Societe Generale"	0.0893815
"Y&AMP;R"	0.0893091
BNP	0.0892295
Healtheon	0.0889939
Starwood	0.0889932
BankAmerica	0.0886597
Sunbeam	0.0885622
Arnault	0.0882626
Honeywell	0.0881273
Pepsico	0.0878322
PLDT	0.0876467
Exxon	0.0875342
Google	0.0869251
"Bell Atlantic"	0.0868542
Schlumberger	0.0868153
"British Telecom"	0.0867192
Bristol-Myers	0.0866261
"Canal Plus"	0.0862773
Vivendi	0.0860634
"Singapore Telecom"	0.0860315
AIG	0.0855235
GEC	0.0854687
CMGI	0.0853532
CCE	0.0852966
Agilent	0.0851651
continental	0.0850879
AMP	0.0842984
Petrofina	0.0842612
"Exxon Corp."	0.0840782
Kellogg	0.0840146
Mobil	0.0839577
"Federated Department Stores"	0.0839356
Genentech	0.0838809
"Northeast Utilities"	0.0838765
HSBC	0.083655
"Network Associates"	0.0836227
Nabisco	0.0835677
Mattel	0.0833424
Whitbread	0.083016
Elf	0.0827403
Interpublic	0.0826709
"Whole Foods"	0.0824924
"Ford Motor"	0.0824329
Primedia	0.0824196
Amgen	0.0823433
UBS	0.0822164
"Royal Bank of Scotland"	0.0821949
Commerzbank	0.0816455
Asarco	0.0815755
NORTHROP	0.0814633
"British Aerospace"	0.0813536
BellSouth	0.0812256
Lockheed	0.0811552
DrKoop.com	0.0811536
Comsat	0.0810555
"AMR Corp."	0.080522
"Learning Co."	0.0805118
Milstein	0.0801391
SunTrust	0.0798553
"Hong Kong Telecom"	0.0798415
YankeeNets	0.0798054
Humana	0.0797993
Novell	0.0796192
Inktomi	0.0791546
))
("Bank of Thailand" (desc 5555.18) (sims
"Bank of Israel"	0.221315
"reserve bank"	0.219379
"Reserve Bank of India"	0.211527
"People's Bank of China"	0.206613
"Bank Indonesia"	0.205332
"Bangladesh Bank"	0.201637
"Bank Negara"	0.178958
"Bank of Uganda"	0.176707
"Bank of Japan"	0.173617
"Tourism Authority of Thailand"	0.171505
"Bank of Zambia"	0.170818
"Reserve Bank of Australia"	0.170504
"Philippine Central Bank"	0.169674
"Bank of China"	0.169217
"central bank"	0.168188
"Commerce Ministry"	0.164936
"Central Bank of Nigeria"	0.163126
"State Bank of Pakistan"	0.162906
"Central Bank of Kenya"	0.158367
PBOC	0.155669
"Finance Ministry"	0.151603
"Hong Kong Monetary Authority"	0.149323
"Bank of Italy"	0.148376
"Ministry of International Trade and Industry"	0.145708
"Agriculture Ministry"	0.145119
"Bank of England"	0.144673
"Labor Ministry"	0.144577
"State Statistics Bureau"	0.127436
"Health Ministry"	0.126719
Bundesbank	0.123054
CBK	0.122711
"Board of Investment"	0.122104
"Bank of Canada"	0.116285
"State Administration of Taxation"	0.116204
"State Development Planning Commission"	0.115531
BoT	0.114547
"Education Ministry"	0.109448
"Health and Welfare Ministry"	0.108975
"Industry Ministry"	0.108301
"State Administration of Foreign Exchange"	0.107601
"State Planning Commission"	0.107379
"Ministry of Trade and Industry"	0.107271
HKMA	0.106841
"Justice Ministry"	0.106725
"Australian Bureau of Statistics"	0.105059
"Federal Reserve Board"	0.10475
"Interior Ministry"	0.104469
"Thai Foreign Ministry"	0.104443
"national bank"	0.104332
Bi	0.104077
"Department of Finance"	0.103711
"Thai Commerce Ministry"	0.10229
"Federal Reserve"	0.101778
"Ministry of Public Health"	0.101602
"Home Ministry"	0.101492
"U.S. State Department"	0.100595
"Asian Development Bank"	0.0996364
"U.S. Census Bureau"	0.0992399
"International Monetary Fund"	0.0988285
BOJ	0.0987104
"Department of Trade and Industry"	0.0985116
"Bank of Korea"	0.0971089
"European Central Bank"	0.0969283
"U.S. Defense Department"	0.0964843
"Congressional Budget Office"	0.0959356
"Ministry of Education"	0.095365
"National Bureau of Statistics"	0.095184
"U.S. Agriculture Department"	0.095014
"Ministry of Labor"	0.0948966
Tat	0.0946311
"General Administration of Customs"	0.0940125
"Census Bureau"	0.0938343
"World Health Organization"	0.0937616
RBA	0.0935048
"Defense Ministry"	0.0932169
"Ministry of Agriculture"	0.0932083
"Financial Supervisory Agency"	0.0929294
"Foreign Ministry"	0.0922756
SSB	0.0919537
"Environmental Protection Agency"	0.0909324
"Ministry of Health"	0.0906302
"Federal Communications Commission"	0.0902093
"election commission"	0.0900985
"American Petroleum Institute"	0.0899911
"Ministry of Finance"	0.089792
CDB	0.089559
"International Badminton Federation"	0.0895049
ECB	0.0894196
"Stock Exchange of Thailand"	0.0894193
"Food and Agriculture Organization"	0.0891525
"Russian Defense Ministry"	0.0886054
"Department of Labor"	0.0885403
ministry	0.0877011
"Federal Trade Commission"	0.0873607
"World Bank"	0.0869379
"Israeli Foreign Ministry"	0.0866342
"Economic Planning Agency"	0.0863594
BOC	0.0860526
"Department of Transportation"	0.0856049
"Office of Management and Budget"	0.0854606
"Thai Farmers Bank"	0.0854033
"World Tourism Organization"	0.0852818
"Russian Foreign Ministry"	0.0851496
"National Transportation Safety Board"	0.0848224
"Ministry of Civil Affairs"	0.0847534
ADB	0.0847333
"Department of Agriculture"	0.0846358
CIRC	0.0845223
"Ministry of Posts"	0.0844499
"Ministry of Water Resources"	0.0839464
"State Council"	0.0839215
"Department of Health"	0.0834301
"Federal Aviation Administration"	0.0832189
"Organization of Petroleum Exporting Countries"	0.0827879
"Ministry of Industry"	0.0827533
"Energy Department"	0.0825958
"U.S. Federal Reserve"	0.0822127
PBC	0.0820211
"U.S. Environmental Protection Agency"	0.081652
"State Statistical Bureau"	0.0810359
"Ministry of Public Security"	0.0808855
"Central Bureau of Statistics"	0.0802542
"Conference Board"	0.0802509
SDB	0.0802485
"Ministry of Trade"	0.0802281
USDA	0.0800204
"Ministry of Communications"	0.0795625
ESCAP	0.0792431
"Transport Ministry"	0.0792367
"Independent Electoral Commission"	0.0789252
"Food and Drug Administration"	0.0784862
"municipal government"	0.0781074
Fed	0.0780167
"Bank for International Settlements"	0.077723
"Department of Commerce"	0.0776289
"State Forestry Administration"	0.0772738
EC	0.0769227
"International Labor Organization"	0.076913
"Occupational Safety and Health Administration"	0.0766995
INEC	0.0765938
"Commerce Department"	0.0762401
"Central Election Commission"	0.0753286
"State Administration for Industry"	0.0753168
"Ministry of Tourism"	0.0752151
"EU Commission"	0.0751143
"Public Security Ministry"	0.0749781
"Ministry of Internal Trade"	0.074645
"foreign office"	0.0746406
"State Economic and Trade Commission"	0.0744652
"Department of Health and Human Services"	0.0741388
"Agriculture Department"	0.0739453
"Clinton Administration"	0.0738576
"Federal Election Commission"	0.0738192
PICC	0.0736562
"Department of Energy"	0.0733754
"Transportation Department"	0.0733631
"Ministry of Economy"	0.0732828
FCC	0.07324
"Nuclear Regulatory Commission"	0.0731429
CBI	0.0731008
HKTA	0.0728622
Eurostat	0.0727485
"International Cycling Union"	0.0727245
"Education Department"	0.0724033
"Commission on Elections"	0.0721937
"Ministry of Information Industry"	0.072085
EPA	0.0720403
HCFA	0.0718137
"State Environmental Protection Administration"	0.0718003
"English Football Association"	0.0717537
"Statistics Canada"	0.0717125
"Hong Kong Tourist Association"	0.0716046
"Securities and Exchange Commission"	0.0715039
IMF	0.071326
"British government"	0.0711011
UCI	0.0710222
"European Commission"	0.0706102
"Health Care Financing Administration"	0.0705808
"State Flood Control"	0.0705563
FAA	0.0702089
SETC	0.0702027
"commercial bank"	0.0701585
"National Highway Traffic Safety Administration"	0.0701048
"Department of State"	0.0700983
"Interior Department"	0.070081
"Department of Education"	0.0700803
"United Nations High Commissioner for Refugees"	0.0698877
"Labor Department"	0.0698709
"State Seismological Bureau"	0.0698384
"Institute of Medicine"	0.0694578
"Ministry of Interior"	0.0692176
"Civil Aviation Administration of China"	0.0692175
"National Association of Securities Dealers"	0.0691209
"Ministry of Foreign Trade and Economic Cooperation"	0.0691104
"Defense Department"	0.0690757
"National Research Council"	0.0688461
"United Nations Children's Fund"	0.0686736
"Bureau of Labor Statistics"	0.0685771
"General Accounting Office"	0.068346
"United Nations Population Fund"	0.0682529
))
("Bank of Tokyo-Mitsubishi" (desc 2120.84) (sims
"Fuji Bank"	0.297803
"Sanwa Bank"	0.254795
"Sakura Bank"	0.244845
"Sumitomo Bank"	0.202269
"Dai-Ichi Kangyo Bank"	0.198307
"Industrial Bank of Japan"	0.189001
"Standard Chartered Bank"	0.17292
"Standard Chartered"	0.163353
"Nomura Securities Co."	0.125996
"Thai Farmers Bank"	0.108862
"Deutsche Bank"	0.105038
"Hang Seng Bank"	0.0962267
"Wells Fargo"	0.0911976
Eximbank	0.0894754
"Health and Welfare Ministry"	0.0875306
"Nippon Credit Bank"	0.084774
"JP Morgan"	0.0832362
"Goldman Sachs"	0.0830577
Citibank	0.082084
"Societe Generale"	0.081784
"Toyota Motor Corp."	0.0807559
"Chase Manhattan Bank"	0.0806259
Commerzbank	0.0797028
Sumitomo	0.0784152
"Bank of America"	0.0783399
"Chase Manhattan"	0.0772683
"Hitachi Ltd."	0.0768343
SDB	0.075957
"Bankers Trust"	0.074494
"Defense Agency"	0.0743655
"First Union"	0.0740156
"Long-Term Credit Bank"	0.0738453
"Bank of Japan"	0.0732441
DKB	0.0726911
"T. Rowe Price"	0.070912
BofA	0.0703318
Marulanda	0.0685702
"Financial Supervisory Agency"	0.0684283
"J.P. Morgan"	0.0670205
Toshiba	0.0668472
"Transport Ministry"	0.0666907
BankBoston	0.0666548
"Credit Lyonnais"	0.0658217
"Chase Manhattan Corp."	0.0646327
"brokerage house"	0.0644665
HSBC	0.0635834
"Nomura Securities"	0.063399
"Fidelity Investments"	0.0632966
"Dresdner Bank"	0.0623542
"Toshiba Corp."	0.0618672
UBS	0.0613461
"Charles Schwab"	0.060341
"Bank of New York"	0.0602061
"Chevron Corp."	0.0596287
"Bangkok Bank"	0.0585255
"building society"	0.0583366
NEC	0.0576981
"Goldman Sachs Group"	0.0573241
"life insurer"	0.0568909
"merchant bank"	0.0568446
"Robertson Stephens"	0.0566456
"Ministry of International Trade and Industry"	0.0564711
NHK	0.0564111
"HSBC Holdings"	0.0559246
"Economic Planning Agency"	0.0557503
"Morgan Stanley Dean Witter &AMP; Co."	0.055567
Barclays	0.05537
ICI	0.0548121
"Nikkei Stock Average"	0.0544167
"Kyodo News"	0.0540349
"Putnam Investments"	0.0539763
Paribas	0.0538303
"Hidetoshi Nakata"	0.0535054
prudential	0.0534212
"Citigroup Inc."	0.0534209
"Koji Ito"	0.0530591
ODA	0.052391
Walgreen	0.0523075
"Legg Mason"	0.0516466
"Mastercard International"	0.0514105
"Honda Motor Co."	0.0511944
"Export-Import Bank"	0.0511616
DiCarlo	0.0510479
"ABN AMRO"	0.0509657
"Self-Defense Forces"	0.0506392
"Ieng Sary"	0.050554
NationsBank	0.0505222
steelmaker	0.0503821
"Texas Instruments"	0.0502983
"International Data Corp."	0.0501923
"Fleet Financial Group"	0.0500511
"Morgan Stanley"	0.0498753
Milbury	0.0497777
"NEC Corp."	0.0497454
"auto company"	0.0494838
"Nissan Motor Co."	0.0494562
BOC	0.0493945
"Industrial and Commercial Bank of China"	0.0492972
"Morgan Stanley Dean Witter"	0.0490092
Maurizi	0.0489158
IDC	0.0480967
Hitachi	0.0480292
"Kim Jong-pil"	0.0479426
Dresdner	0.047941
ICBC	0.0478713
Softbank	0.0477438
"UN agency"	0.0477211
"Hambrecht &AMP; Quist"	0.0474828
Venables	0.0474228
"Ministry of Trade and Industry"	0.0471125
"Levi Strauss &AMP; Co."	0.0468718
"Kyodo News Service"	0.0465346
"BP Amoco"	0.0464838
CDB	0.0464026
"Ministry of Posts"	0.0462224
VENATOR	0.0461844
"J.P. Morgan &AMP; Co."	0.0460774
Norwest	0.0460641
Jorgensen	0.0459298
NCEC	0.0454398
"KLM Royal Dutch Airlines"	0.0453924
JPL	0.0450504
Chaudhry	0.045047
CCB	0.0448285
"semiconductor maker"	0.0446189
"Atomic Energy Commission"	0.0443394
"Hongkong Telecom"	0.0443322
issuers	0.0442799
"Commercial Bank of China"	0.0441927
Honeywell	0.0440941
Kia	0.0440831
"Hong Kong Telecom"	0.0440694
"Imperial Palace"	0.044008
"Jet Propulsion Laboratory"	0.0439751
Dupont	0.0437764
EBRD	0.0437625
"Times Co."	0.0435784
"UBS AG"	0.043533
"Overseas Economic Cooperation Fund"	0.0434965
SNCF	0.0433563
"Boutros Boutros-Ghali"	0.0433539
Tankan	0.0431166
Forrester	0.0430631
"Deutsche Bank AG"	0.0430518
"Merrill Lynch &AMP; Co."	0.0430478
"MindSpring Enterprises"	0.0429678
Bae	0.0428388
"investment house"	0.0428191
Janis	0.0425027
Majko	0.0423311
"Rick Neuheisel"	0.0422643
Hoke	0.0421513
"finance chief"	0.041879
"China National Petroleum Corporation"	0.0417197
"Russian bank"	0.0416031
"Credit Suisse First Boston"	0.0415147
"credit union"	0.0415077
"New York Times Co."	0.0413512
"Cisco Systems"	0.0413038
"Ernst &AMP; Young"	0.0412621
"Jim Harrick"	0.0412247
"National Australia Bank"	0.0411904
Gauthier	0.0411111
Kuhn	0.0410733
KPA	0.0410697
"South African Airways"	0.0407914
"Salomon Smith Barney"	0.0407382
Iger	0.0406764
"Labor Ministry"	0.0406615
"credit bureau"	0.0406047
"Siemens AG"	0.0402754
"Ray Evernham"	0.0402576
Deutsche	0.0402319
IAI	0.040105
))
("Bank of Uganda" (desc 1295.33) (sims
"Bank of Zambia"	0.267707
"Bank of Israel"	0.255756
"Bangladesh Bank"	0.242612
"Central Bank of Kenya"	0.197134
"Reserve Bank of India"	0.191144
"People's Bank of China"	0.19107
"Bank Indonesia"	0.188464
"Central Bank of Nigeria"	0.184801
"Bank Negara"	0.182414
"reserve bank"	0.177096
"Bank of Thailand"	0.176707
PBOC	0.174576
"Reserve Bank of Australia"	0.164713
"Philippine Central Bank"	0.155332
"Hong Kong Monetary Authority"	0.152172
"State Bank of Pakistan"	0.147244
"Bank of Korea"	0.144807
"Tourism Authority of Thailand"	0.137585
"Home Ministry"	0.130326
PBC	0.130295
"Bank of Italy"	0.121797
"Bank of China"	0.119653
"Uganda People's Defense Forces"	0.119521
"International Badminton Federation"	0.11892
PTT	0.118296
"Bank of Japan"	0.116175
HKMA	0.115671
RBA	0.11424
CBK	0.100736
"Thai Foreign Ministry"	0.100454
BoT	0.0977773
"Labor Ministry"	0.0974909
"Department of State"	0.0960084
"Thai Commerce Ministry"	0.0952696
"Culture Ministry"	0.0950425
"Bank of Canada"	0.0940727
"national bank"	0.0933149
BOJ	0.0928317
"British Foreign Office"	0.0926468
"Bank of England"	0.0926459
"Ministry of Trade and Industry"	0.0924444
"Ministry of International Trade and Industry"	0.0913358
"Japanese Embassy"	0.090621
CSRC	0.0895301
"French Foreign Ministry"	0.0861116
MAS	0.0852082
"Lower Saxony"	0.085083
"Industry Ministry"	0.084264
Bundesbank	0.0833486
"Ethiopian Airlines"	0.083344
"Turkish Foreign Ministry"	0.0825438
"U.S. Treasury Department"	0.0816613
"Finance Ministry"	0.080524
"Central Bureau of Statistics"	0.0803801
"Lagos State"	0.0802708
"National Election Committee"	0.0802601
"Israeli Foreign Ministry"	0.0799506
"U.S. Defense Department"	0.0786756
UCI	0.0785484
"Census and Statistics Department"	0.0782535
"Council of Guardians"	0.0781702
EOHR	0.0781013
"Department of Public Health"	0.0779021
"British Embassy"	0.0773436
"Agriculture Ministry"	0.0770772
"US State Department"	0.0753623
NCEC	0.0751184
Tat	0.0749212
"State Statistical Bureau"	0.0749133
Bi	0.0747427
CDB	0.074584
"Commerce Ministry"	0.0745697
"election commission"	0.0743355
"Ministry of Foreign Affairs"	0.0743079
DEP	0.0742922
"Quintana Roo"	0.0730302
"International Finance Corporation"	0.0718201
"U.S. Soccer Federation"	0.0709302
"National Electoral Commission of Nigeria"	0.0708424
CFTC	0.0707853
"Public Security Ministry"	0.0707037
"Immigration Department"	0.0702884
"Health Ministry"	0.0698958
ECB	0.0695067
SDB	0.0694681
"Minas Gerais"	0.0693468
"Ministry of Finance"	0.0685233
"Xinhua News Agency Hong Kong Branch"	0.0684201
"Kenyan Government"	0.0684174
"China Securities Regulatory Commission"	0.0674821
Govt	0.0673688
"State Administration for Industry"	0.0672535
"Consumer Product Safety Commission"	0.0672461
"Australian Bureau of Statistics"	0.067224
"National Bureau of Statistics"	0.0672012
MOFTEC	0.0671699
"Ministry of Health"	0.0670068
"Health Department"	0.0666721
"College Board"	0.0664175
SPP	0.0660671
"International Cycling Union"	0.0659848
HCFA	0.0655567
"Ministry of Posts"	0.06541
CEC	0.065236
"foreign office"	0.0644709
KPA	0.0642143
"United Nations High Commissioner for Refugees"	0.0640161
"German Embassy"	0.0639943
Guanajuato	0.0639819
"Information Office"	0.0639355
USATF	0.0638454
RJR	0.0637672
"Lord's Resistance Army"	0.0635629
GPU	0.0626133
"Chinese Foreign Ministry"	0.0625274
ICTR	0.0624428
"International Criminal Tribunal for Rwanda"	0.0623325
"Ministry of Civil Affairs"	0.062102
espana	0.0620692
"U.S. State Department"	0.0617313
"State Planning Commission"	0.0617235
"U.S. Treasury"	0.0614996
"South African Airways"	0.0613103
KPU	0.0612853
BOC	0.061218
FSA	0.0611987
Eximbank	0.0611154
CIRC	0.0610332
"British High Commission"	0.0609907
INEC	0.0609742
"Levi Strauss &AMP; Co."	0.0607668
"National Gambling Impact Study Commission"	0.0604713
"Board of Investment"	0.0604663
"Russian Foreign Ministry"	0.0604642
"Ministry of Communications"	0.0603974
CPSC	0.0601026
Zacatecas	0.0599392
Guei	0.0598944
"Hong Kong Telecom"	0.0594595
"Interior Ministry"	0.0593925
HKTA	0.0591967
"Business Council"	0.0589181
Hesse	0.0587926
"Airport Authority"	0.058628
"U.S. Export-Import Bank"	0.0584597
"African Development Bank"	0.0584595
Caprivi	0.0581511
"Department of Public Safety"	0.0580864
"Reed Elsevier"	0.0579322
DSE	0.0576626
"Economic Planning Agency"	0.0576404
"Palestinian Central Council"	0.0574716
"Health and Human Services Department"	0.0574414
"Human Rights Watch"	0.0573586
"Royal Palace"	0.0573449
"Department of Health"	0.0572259
"United Nations Development Program"	0.0572238
"U.N. Interim Force in Lebanon"	0.0572142
"Stock Exchange of Thailand"	0.0572062
ISTAT	0.0569082
"Central Election Commission"	0.0568851
SFA	0.0568699
"Ford Motor Company"	0.0564767
"Justice Ministry"	0.0564056
"World Food Program"	0.0563278
SDPC	0.0562759
"Russian Navy"	0.0562462
"Israeli Embassy"	0.0561932
"U.S. Commerce Department"	0.056096
"National Highway Traffic Safety Administration"	0.0560929
"Secretary General Esmat Abdul-Meguid"	0.056089
"EU Commission"	0.0557795
"Information Ministry"	0.0557537
"U.S. Postal Service"	0.0555696
FIVB	0.0555387
JAL	0.055375
Krasnoyarsk	0.0553367
"Defense Agency"	0.0552538
"Israeli Army"	0.0552393
"International Amateur Athletic Federation"	0.0551581
"Joint Military Commission"	0.055058
OAS	0.0548948
Warnaco	0.0548536
"Department of Foreign Affairs"	0.0546901
"Transportation Department"	0.0546263
ITC	0.0546017
EC	0.0545991
TRC	0.0545557
CAA	0.0544622
"European Central Bank"	0.0544472
Sinaloa	0.0541755
"National Police"	0.0540065
"De Beers"	0.0539175
AHP	0.0536446
CSC	0.0535692
"New South"	0.0534061
"Ministry of Industry"	0.0533539
Samara	0.0533227
"Department of Health and Human Services"	0.0533025
"federal office"	0.0533007
))
("Bank of Zambia" (desc 1090.58) (sims
"Bangladesh Bank"	0.32568
"Bank of Uganda"	0.267707
"Bank of Israel"	0.257463
"Bank Negara"	0.21846
"People's Bank of China"	0.217144
"reserve bank"	0.202687
"Reserve Bank of Australia"	0.190746
"Bank Indonesia"	0.182905
"Bank of Italy"	0.173324
"Bank of Thailand"	0.170818
PBOC	0.169149
"Reserve Bank of India"	0.158788
"Bank of Korea"	0.151716
Bi	0.137301
"Hong Kong Monetary Authority"	0.13728
"Philippine Central Bank"	0.131243
Bundesbank	0.126255
"Central Bank of Kenya"	0.12365
"Central Bank of Nigeria"	0.119704
"Bank of England"	0.119562
"Bank of China"	0.115479
RBA	0.104345
"Bank of Canada"	0.104222
"Bank of Japan"	0.103712
"Dai Xianglong"	0.0968136
PBC	0.0957742
"Zambia Consolidated Copper Mines"	0.0929243
"Agriculture Ministry"	0.0921049
"International Civil Aviation Organization"	0.0894479
"Lower Saxony"	0.0888855
"Consumer Product Safety Commission"	0.0853557
"United Nations Industrial Development Organization"	0.0834428
CIRC	0.0831133
"Operation Lifeline Sudan"	0.0821708
"Lagos State"	0.0796779
"United Nations Population Fund"	0.078893
CBK	0.0785014
BoT	0.0781844
"State Bank of Pakistan"	0.0776798
"Commission on Elections"	0.0773528
"National Electoral Commission of Nigeria"	0.0772444
PTT	0.0764021
Malu	0.073738
espana	0.0737376
BOJ	0.073629
"General Security Service"	0.0735318
"Quintana Roo"	0.0728159
CDB	0.0722974
Tat	0.0713706
"Wim Duisenberg"	0.0709844
"Economic Commission for Africa"	0.0707749
"China Securities Regulatory Commission"	0.070453
Malawian	0.0694753
"Inter-Governmental Authority on Development"	0.0677962
"United Nations Educational, Scientific and Cultural Organization"	0.0677434
"International Labor Organization"	0.0674048
Caprivi	0.0672424
"U.S. Defense Department"	0.0666995
Eximbank	0.0666763
"U.S. Census Bureau"	0.0665187
"national bank"	0.0664919
"Kenyan Government"	0.0664873
SDB	0.0662968
T.Shs	0.065001
"State Statistics Bureau"	0.0644479
MAS	0.0640988
Guanajuato	0.0640353
ECA	0.0638588
BOC	0.0637861
"Department of Public Health"	0.0635499
PCB	0.0627256
ECB	0.0617011
Hesse	0.0616744
IEA	0.0611069
"Bank for International Settlements"	0.0607882
"United Nations Environment Program"	0.0604389
"Kenya Shillings"	0.0602744
"Joint Military Commission"	0.060256
CSC	0.0600957
"United Nations Conference on Trade and Development"	0.0600612
"Common Market for Eastern and Southern Africa"	0.059779
"State Administration of Taxation"	0.0597579
TDB	0.0596769
Rossotti	0.0594154
CCB	0.059393
Samara	0.058777
"Uganda Shillings"	0.0583951
Krasnoyarsk	0.0583425
"United National Independence Party"	0.0582575
"Ministry of Transport"	0.058234
taskforce	0.0580982
Saxony	0.0579648
Angara	0.0577598
TDC	0.0577261
"State Planning Commission"	0.0576555
ADL	0.0575985
Advani	0.0571371
"Museum of Natural History"	0.0570787
"Agency for International Development"	0.0567598
"Delta State"	0.0566453
"National Library"	0.0565595
"U.S. Immigration and Naturalization Service"	0.0563552
"U.N. High Commissioner for Refugees"	0.0561957
"Federal Reserve Board"	0.0560775
"Hong Kong Tourist Association"	0.0560302
Herat	0.055907
"National Police"	0.055775
"New South"	0.0557564
"National Research Council"	0.0544381
metical	0.0542315
"Truth Commission"	0.0539743
"China National Tourism Administration"	0.0539114
"United Nations High Commissioner for Refugees"	0.0535979
EOHR	0.0535819
WIPO	0.0535104
"Ministry of Industry"	0.0533854
"European Central Bank"	0.053274
"Kenya Airways"	0.0531046
"National Convention Executive Council"	0.0530679
NHTSA	0.0530568
CPS	0.0529324
Zacatecas	0.0525042
"Occupational Safety and Health Administration"	0.0522772
"U.S. Fish and Wildlife Service"	0.0521635
"Ministry of Health"	0.0517496
"Home Ministry"	0.0517202
"Minas Gerais"	0.051689
"China Construction Bank"	0.0516231
"enforcement division"	0.0516132
"Times Co."	0.0514472
"State Development Bank"	0.0513965
"State Administration of Foreign Exchange"	0.0513824
"Food and Agriculture Organization"	0.051252
"American Jewish Committee"	0.051215
Dems	0.0508582
"Industrial and Commercial Bank of China"	0.0506537
"East African Cooperation"	0.0505657
"UN agency"	0.0504809
NCEC	0.0504242
"International Skating Union"	0.0501748
CEC	0.0501056
"patent office"	0.0497556
"Criminal Investigation Department"	0.0497243
"Inter-American Development Bank"	0.0496945
"Philippine National Police"	0.0495519
Aeroflot	0.0495435
"Ministry of Public Health"	0.0493819
Clorox	0.0493466
CSRC	0.0489933
"Paris Club"	0.0489825
UNMIK	0.0488437
IGAD	0.0487738
"Central Election Commission"	0.0486457
"Daewoo Group"	0.0485763
Palawan	0.0485694
Antioquia	0.0485341
"Shanghai Branch"	0.0485241
Conde	0.0484238
Orban	0.048279
"United Nations Drug Control Program"	0.0482385
"Nature Conservancy"	0.0481978
"U.S. Agriculture Department"	0.0481454
"Central Bureau of Statistics"	0.0481404
"Corcoran Gallery"	0.0480699
"Labor office"	0.0480593
"East Java"	0.0480434
"New York City Police Department"	0.0479146
"Culture Ministry"	0.0477912
Sinaloa	0.0477787
"National Council of Churches"	0.0475332
Sumaye	0.0475048
ICRC	0.0471263
"National Labor Relations Board"	0.0470988
"Board of Investment"	0.0470241
Kasoulides	0.0467792
Sakhalin	0.04677
BSF	0.0467012
EEOC	0.046701
"British government"	0.0466185
"Secretary General Esmat Abdel-Meguid"	0.0466041
"Civil Aviation Authority"	0.046316
Sindh	0.0462875
"U.S. State Department"	0.0461784
"National Hurricane Center"	0.0459438
WFP	0.0458132
"Israeli Foreign Ministry"	0.0457684
"Health Department"	0.0456464
"Solomon R. Guggenheim Museum"	0.0455723
Tabasco	0.0455215
Ikimi	0.045493
"Department of State"	0.0454816
"National Election Committee"	0.045442
"San Francisco Museum of Modern Art"	0.0451051
"Monetary Policy Committee"	0.0449896
"African Development Bank"	0.0449549
"Bureau of Indian Affairs"	0.0448976
"closed-end fund"	0.0447948
IDB	0.0447446
"World Food Program"	0.0446435
"Tareq Aziz"	0.0446343
))
("bank rate" (desc 1095.32) (sims
"key rate"	0.250836
"defense budget"	0.237939
"discount rate"	0.23482
"take-home pay"	0.23032
"funds rate"	0.219461
"medicare payment"	0.207632
"selling price"	0.197584
"borrowing cost"	0.185145
"gasoline tax"	0.177465
"consumption tax"	0.175321
"production ceiling"	0.169749
"mortgage rate"	0.162182
"poverty rate"	0.158851
"import duty"	0.152271
"tax rate"	0.152043
"operating expenses"	0.146472
caseloads	0.145514
"insurance premium"	0.144952
"production cost"	0.144909
"marketing cost"	0.143271
"oil production"	0.142839
"body temperature"	0.14278
"Producer Price Index"	0.140984
"operating cost"	0.139698
"value-added tax"	0.134135
"property tax"	0.132683
"capital gains tax"	0.132678
"labor cost"	0.132522
"Official Development Assistance"	0.131473
"sick pay"	0.128665
"export sale"	0.127866
"wholesale price index"	0.124663
"retirement benefit"	0.124494
"customs duty"	0.123283
"fertility rate"	0.123271
ridership	0.1216
"crime rate"	0.120997
outlay	0.120113
"producer price"	0.120079
"occupancy rate"	0.11926
"gas price"	0.118593
"rate of growth"	0.118242
"excise tax"	0.117777
"birth rate"	0.116838
"retail price index"	0.11619
"rate of inflation"	0.115697
"bond rating"	0.115526
"retail price"	0.114782
"inheritance tax"	0.114032
"budget deficit"	0.113928
"mortality rate"	0.112717
"heart rate"	0.11196
"life expectancy"	0.111794
"tax bracket"	0.111078
Fares	0.110985
"capital expenditure"	0.110608
"truck sale"	0.109321
"tax income"	0.108913
"retirement age"	0.108675
"earning per share"	0.108481
joblessness	0.108023
"Social Security benefit"	0.107891
"water table"	0.105746
"air pressure"	0.105575
"interest expense"	0.105557
"elephant population"	0.104509
"blood pressure"	0.104419
"cancer death"	0.10281
"death rate"	0.102755
"personal income"	0.102417
"export quota"	0.101134
"noise level"	0.10064
"national income"	0.0993003
"value added tax"	0.0981953
TAXES	0.0970398
"cost structure"	0.0968703
C-section	0.0967173
headcount	0.0963862
"Philippine Stock Exchange Index"	0.0959853
intake	0.0958286
"blood sugar"	0.0955919
"Bovespa Index"	0.0953922
"consumer price index"	0.0953421
"inflation rate"	0.0941384
payouts	0.0939133
acreage	0.0938156
LDL	0.0936617
CPI	0.0935784
"standard of living"	0.0931089
"bond price"	0.0929973
"cost of living"	0.0928191
"asset value"	0.0921618
"credit rating"	0.0919415
"rate of exchange"	0.0903852
"steel production"	0.0903346
"voting age"	0.0902417
"pretax profit"	0.089814
"admission price"	0.089739
"death benefit"	0.0897179
incidence	0.0895132
"estate tax"	0.0894107
voltage	0.0892653
"unemployment rate"	0.0870429
"profit margin"	0.0866937
STI	0.0866185
"housing sale"	0.0864578
"operating budget"	0.0860545
"money supply"	0.0860376
"factory order"	0.0859544
"trade barrier"	0.0857412
birthrate	0.0853437
"user fee"	0.0850461
threshhold	0.0846976
"debt load"	0.0841685
"tax bill"	0.0837187
caseload	0.0836772
mortality	0.0835806
"interest payment"	0.0835236
"transfer payment"	0.0833254
"vehicle sale"	0.0832499
"water level"	0.0823582
reimbursement	0.0822595
"trade surplus"	0.0820562
"relative humidity"	0.0818055
"Monetary Policy Committee"	0.0814948
weighting	0.0812858
"seating capacity"	0.0802686
"deficit spending"	0.0801058
"tax revenue"	0.0801032
"order book"	0.0799113
fertility	0.0797524
cholesterol	0.0790452
"Commonwealth Bank of Australia"	0.0789858
workload	0.0782736
"futures price"	0.0772553
backlog	0.0769934
Sensex	0.0769701
"Commonwealth Bank"	0.0769192
"tax collection"	0.0767836
"market penetration"	0.0765641
"electric bill"	0.0764833
"Tokyo Stock Price Index"	0.0763067
HDL	0.0761668
interbank	0.0760448
density	0.075347
"gross national product"	0.0751651
"annual payment"	0.0750773
ANZ	0.0749544
"shareholder value"	0.074649
"dividend payment"	0.0744952
enrolment	0.0744651
viewership	0.0738586
"goose bumps"	0.0737336
GNP	0.0736286
"Straits Times Index"	0.0734973
"entrance fee"	0.0734524
"turnover rate"	0.073227
"aircraft order"	0.0728715
"bid price"	0.0720671
"CAC @@"	0.0717765
delinquency	0.0712494
horsepower	0.071099
zloty	0.0710285
"Bank of Canada"	0.0709214
"net income"	0.0705853
"speed limit"	0.0703386
"bankruptcy filing"	0.0699438
"foreign direct investment"	0.069742
"bus fare"	0.0696719
"market average"	0.0691251
"offer price"	0.0687012
prevalence	0.0685578
Tonnage	0.0682357
"price index"	0.0679701
"phone bill"	0.0677636
"Appalachian Trail"	0.0677353
"Karachi Stock Exchange"	0.0675705
"net profit"	0.0672685
throughput	0.0670173
salinity	0.0667393
indices	0.0662787
"non-performing loans"	0.0657725
indebtedness	0.0657141
CAC-@@	0.0656955
girder	0.0656492
overdraft	0.0655172
"river bed"	0.0652434
"consumer credit"	0.0651026
"preferred shares"	0.0649878
capitalisation	0.0649012
"purchase price"	0.0648797
"asking price"	0.064847
airfare	0.0646964
liquidity	0.0642558
homeownership	0.0641929
"pay rate"	0.0641598
weightings	0.0641358
"service charge"	0.0639452
Nikkei	0.063833
capitalization	0.0636601
))
("bank shot" (desc 3163.96) (sims
"hook shot"	0.287069
"jump shot"	0.256265
tip-in	0.225691
three-pointer	0.224408
putback	0.216376
jumper	0.21481
layup	0.195751
"foul shot"	0.194733
layups	0.175185
floater	0.164387
"another @-pointer"	0.159145
jumpers	0.152248
dunk	0.143818
Trey	0.143366
"free throw"	0.14052
airball	0.13007
"two @-pointers"	0.119146
"chip shot"	0.0921531
wrister	0.0829018
technicals	0.0775933
breakaway	0.0774349
buzzer-beater	0.075331
fourth-and-@@	0.0748116
game-winner	0.0747683
"field goal"	0.0718411
timeout	0.0682359
three-pointers	0.0680774
wingspan	0.0677154
"cabin cruiser"	0.0671806
"another @"	0.0667726
"screen pass"	0.0663748
"three @-pointers"	0.0659192
"four @-pointers"	0.0653043
"two baskets"	0.0643096
powerboat	0.0601347
header	0.0598518
salchow	0.058715
comebacker	0.0584603
axel	0.0571877
fourth-down	0.0539661
backhander	0.0535515
baseline	0.0530612
uppercut	0.0520127
"passing shot"	0.0512167
sloop	0.0502765
swish	0.050233
TD	0.0501226
slapper	0.0500211
"first basket"	0.0496427
dribbler	0.0489387
inbounds	0.0486124
volley	0.0481277
deflection	0.0479043
"seventh homer"	0.0475045
Stackhouse	0.0467267
schooner	0.0464038
lateral	0.0461651
dustup	0.0444034
"eighth homer"	0.0439577
lutz	0.0438389
"Le Defi Francais"	0.0435499
"approach shot"	0.043417
slipup	0.0432333
"Amani Toomer"	0.0429491
crosscourt	0.0426925
Longo	0.042614
popup	0.042347
Ceballos	0.0422539
one-hopper	0.0419962
"fly ball"	0.0416467
hurdler	0.0416014
gusher	0.0414697
goalpost	0.041223
speedboat	0.0410612
"half life"	0.040993
"fifth homer"	0.0408649
"volleyball player"	0.0407826
"line drive"	0.0407212
Malkovich	0.0407094
back.	0.0402479
Taxol	0.040144
))
("bank statement" (desc 1909.92) (sims
"account statement"	0.167817
"electric bill"	0.131334
"credit report"	0.116882
"phone bill"	0.11409
invoice	0.113636
stub	0.109936
"financial statement"	0.0998686
"medical record"	0.0968141
"telephone bill"	0.0933845
"tax form"	0.0907263
"tax return"	0.0903766
checkbook	0.0899339
Ledger	0.0867585
"marriage license"	0.0852385
"boarding pass"	0.0844608
"order book"	0.0807674
"birth certificate"	0.0787558
horoscope	0.0772495
"driver's license"	0.072471
syllabus	0.0721375
"expense account"	0.068418
"purchase order"	0.067979
"medical history"	0.0657711
transcript	0.0655729
"business card"	0.0653169
"computer file"	0.0651625
"application form"	0.0648733
"identity card"	0.064521
"membership card"	0.0645004
"checking account"	0.0635955
"official document"	0.0634824
Powerbook	0.0632067
tabulation	0.0624331
"Social Security number"	0.060466
"income tax return"	0.0604061
"bar code"	0.0598979
"stock certificate"	0.0594106
correspondence	0.0587265
"newspaper article"	0.0579037
molar	0.0577335
"telephone book"	0.0576022
"traveler's check"	0.0566903
"order form"	0.0562665
stethoscope	0.0559724
"phone book"	0.0558072
"license plate"	0.0546207
"progress report"	0.0546116
prospectus	0.0545431
classifieds	0.0543273
"business plan"	0.0536089
stats	0.0532971
clicker	0.0530664
postmark	0.0527611
"performance evaluation"	0.0524004
"data file"	0.052366
"newspaper clipping"	0.0523028
"historical document"	0.0518109
ID	0.0517714
"file cabinet"	0.0515408
"mind's eye"	0.0502183
Kris	0.0500481
printout	0.0496884
"ticket stub"	0.0496794
"test equipment"	0.0489142
"medicine cabinet"	0.048788
e-BOOKS	0.0484067
"credit history"	0.0480278
URLs	0.0480205
"sheet music"	0.0477023
"money order"	0.0476
"dog tag"	0.0470186
"identification number"	0.0468031
"name tag"	0.0464273
"mug shot"	0.0463144
blinder	0.0458681
Estimations	0.0456874
spreadsheet	0.0454476
schoolwork	0.0454429
debit	0.0448656
sutras	0.0448637
"dollar bill"	0.0448282
Momma	0.0446529
"heating system"	0.0443243
"instrument panel"	0.044141
postage	0.0437998
"legal brief"	0.0437344
"yellow pages"	0.0436223
"legal document"	0.0436115
"instruction manual"	0.0430454
"leisure time"	0.0429729
password	0.04294
"greeting card"	0.0429145
"garden hose"	0.042794
"medical report"	0.0423535
"Disabilities Act"	0.0423017
"love letter"	0.0418375
grandkids	0.0417593
remotes	0.0416029
"political program"	0.0415737
"table of contents"	0.0412398
"proxy statement"	0.041116
"parking ticket"	0.0411021
"New Democrats"	0.0409901
"written material"	0.0408189
ID.	0.0404711
DS	0.0402012
"blood sugar"	0.0402
thermostat	0.0400146
))
("bank vault" (desc 1421.34) (sims
"deposit box"	0.116183
"brokerage account"	0.0870675
"boarding house"	0.0787364
"file cabinet"	0.0770127
"Olympic Village"	0.076211
crevasse	0.0656787
drawer	0.0629795
cellar	0.059803
"car door"	0.0570417
"mental hospital"	0.0569908
"glove compartment"	0.0557215
"duffel bag"	0.0554992
pantry	0.0549746
"medicine cabinet"	0.0537262
attics	0.0537128
Icebox	0.0522876
"paper bag"	0.0516226
"booking agent"	0.0500291
"storage room"	0.0495664
"police office"	0.0489964
cask	0.0479717
silo	0.0464437
"B&AMP;B"	0.0463319
cavern	0.0460915
"High Museum of Art"	0.0452407
"back room"	0.0443664
"butcher shop"	0.044149
"bowling alley"	0.0439045
dungeon	0.0437416
hostel	0.0434884
"American Dance Festival"	0.0427071
"language school"	0.0426491
storeroom	0.0426226
"coffee bar"	0.0424139
"screen door"	0.0420043
"Irish Republic"	0.0415736
"summer house"	0.0415099
"gambling casino"	0.0414856
"motel room"	0.0414832
"carriage house"	0.0407525
"dark ages"	0.0405691
doghouse	0.040302
"psychiatric hospital"	0.0402436
))
("bank withdrawal" (desc 1172.69) (sims
pullbacks	0.158844
pullback	0.156082
redeployment	0.125013
pullout	0.114662
privatizations	0.0914767
final-status	0.085071
redefinition	0.0738609
divestitures	0.0731014
rectification	0.0726612
"land reform"	0.0721807
pasteurization	0.0719544
"interest rate increase"	0.0712911
unionization	0.0706059
"field trial"	0.0690412
"pay cut"	0.0684775
"rate hike"	0.0676292
"takeover attempt"	0.0674288
"social contract"	0.0669597
polling	0.0668008
withdrawl	0.06611
multi	0.0658698
co-payment	0.0657443
stayaway	0.0656482
self-rule	0.0655716
"rate increase"	0.0652111
"withholding tax"	0.0650343
"wage increase"	0.0642687
"job cut"	0.0637481
"expansion plan"	0.0631372
nationalization	0.062401
rescheduling	0.0622334
politicization	0.0619491
"arms deal"	0.0618348
"rate cut"	0.0615895
"military mission"	0.0615637
retrenchment	0.0615248
Reauthorization	0.0612075
manoeuvre	0.0607895
CTBT	0.0607401
"Community Reinvestment Act"	0.0604412
divestiture	0.0603647
downsizing	0.0602795
reestablishment	0.0597658
"Heavily Indebted Poor Countries"	0.0596894
buybacks	0.0594745
"subversive activity"	0.0587762
expansionism	0.0586767
renegotiation	0.0582001
renaming	0.0578824
interment	0.0577577
"more than @@@@"	0.0571403
stationing	0.0571052
demarcation	0.0570321
"wonder drug"	0.0569795
"field work"	0.0568218
"Enhanced Structural Adjustment Facility"	0.0568019
clampdown	0.0565811
"air attack"	0.0565769
realignments	0.0563408
Balkanization	0.0562067
realignment	0.0562056
reorientation	0.0556321
"sewer line"	0.0554438
airstrike	0.0554381
"rate rise"	0.0554296
"Kyoto Protocol"	0.0553467
"Agenda @@@@"	0.0548349
reassessment	0.0546129
"cash payment"	0.0544376
"equity interest"	0.0542709
annexation	0.0539504
decommissioning	0.0539375
Israeli-Syrian	0.0539054
"stock buyback"	0.0536795
"debt issue"	0.0534515
fillip	0.0534343
destabilization	0.0531874
"gasoline tax"	0.053157
sell-offs	0.0529099
"nuclear explosion"	0.0528475
reconsideration	0.0525318
facelift	0.0525041
dredging	0.05212
"labor agreement"	0.0520932
eavesdropper	0.0518458
phaseout	0.0516871
"asset sale"	0.0516514
backsliding	0.0516246
"military drill"	0.0515762
"Lusaka Peace Accord"	0.0515153
damming	0.0513792
"tax hike"	0.0510175
"medical exam"	0.0509796
"deficit spending"	0.0509181
surtax	0.0508774
"Inter-Governmental Authority on Development"	0.0507965
"trial balloon"	0.0506755
"war game"	0.0505657
reclamation	0.0504568
meatpackers	0.0502954
"budget cut"	0.050281
"change of direction"	0.0500106
blandishment	0.0499236
"spending cut"	0.0498316
secularism	0.0497869
decriminalization	0.0497796
"tax reduction"	0.0497778
belt-tightening	0.0497031
"retirement benefit"	0.0496223
GST	0.0495859
hegemonism	0.0494976
"bond offering"	0.0494437
"Plan Colombia"	0.0494428
"Pudong International Airport"	0.0493175
scaling	0.0491455
Helms-Burton	0.0489496
slackening	0.0488952
"Chemical Weapons Convention"	0.0488934
"judicial proceeding"	0.0488356
exhumation	0.0488138
demilitarization	0.0488066
"turnover rate"	0.0487625
emancipation	0.0487365
"fund-raising drive"	0.0485888
legalization	0.048559
counter-offensive	0.0485347
rollback	0.048499
remodeling	0.0483308
"equity stake"	0.0481736
"intelligence operation"	0.0479991
reevaluation	0.0478894
swapping	0.0477797
harder	0.047662
"Human Genome Project"	0.0476023
instructions	0.0475066
"death benefit"	0.0474934
mega-mergers	0.0473751
dilution	0.0472497
"chief administrative officer"	0.0470431
"Comprehensive Nuclear Test Ban Treaty"	0.0470202
"ownership stake"	0.0469997
"management change"	0.0469204
Deet	0.0468832
"direct action"	0.0468787
impoverishment	0.0468539
disarming	0.0466703
"START III"	0.0466033
"policy change"	0.0464892
splitting	0.0464552
drawdown	0.0464331
Wanderlust	0.0463024
"death warrant"	0.04615
harvesting	0.0461052
"International Space Station"	0.0460907
expropriation	0.0460497
"Taiwan Independence"	0.0460388
shakeup	0.0460172
"tax bill"	0.045906
downloading	0.0459055
reshuffling	0.0457039
"bank failure"	0.0457011
copying	0.0456837
abolishment	0.0456687
tabulation	0.0455187
"Comprehensive Test Ban Treaty"	0.0455176
"medical examination"	0.0454697
"body politic"	0.0451926
loosening	0.045182
enticement	0.0451615
"Whitewater investigation"	0.0451238
declassification	0.0451166
clear-cutting	0.045089
"missionary work"	0.045014
"anti-dumping duty"	0.0449897
disbandment	0.0448181
"cost cutting"	0.0447559
recapitalization	0.0445271
toppling	0.0444471
enquiry	0.0444193
repurchase	0.0443253
joining	0.044125
granting	0.0440577
"compensation package"	0.044029
phase-out	0.0439421
"Helms-Burton Act"	0.0438938
"health check"	0.0437257
"change of mind"	0.0435501
decontamination	0.0435354
"American plan"	0.0435147
polity	0.0434908
nullification	0.0434211
sending	0.0434061
conscription	0.0432936
"drug traffic"	0.0432799
"Oslo Accord"	0.0431878
C-section	0.043154
"consumption tax"	0.0431277
Israeli-Palestinian	0.0431149
"Proposition @"	0.0430908
drier	0.0430848
))
(BankAmerica (desc 7979.17) (sims
"Bank of America"	0.303694
Norwest	0.255327
BofA	0.255265
"BankAmerica Corp."	0.250685
NationsBank	0.242638
Citicorp	0.241923
"First Union"	0.231371
"Chase Manhattan"	0.227457
"Wells Fargo"	0.227241
"Bankers Trust"	0.201222
"Deutsche Bank"	0.198843
BankBoston	0.189574
"First Union Corp."	0.183209
Citigroup	0.181001
"Chase Manhattan Bank"	0.177311
Citibank	0.172471
Wachovia	0.170607
McKesson	0.170424
UBS	0.164596
"Fleet Financial Group"	0.163917
"U.S. Trust"	0.163238
Honeywell	0.160708
"Bankers Trust Corp."	0.159035
Ameritech	0.156717
WorldCom	0.15551
"Times Mirror"	0.154047
"Deutsche Bank AG"	0.152591
"MCI WorldCom"	0.152257
Ciena	0.151156
"BankBoston Corp."	0.150441
"U S West"	0.148785
"RJR Nabisco"	0.148506
"Time Warner"	0.147897
Daimler-Benz	0.147507
Seagram	0.146676
SmithKline	0.145995
"Learning Co."	0.145667
"J.P. Morgan"	0.145416
RJR	0.144289
Healtheon	0.144252
"Y&AMP;R"	0.143531
Airtouch	0.143049
VENATOR	0.142856
"Thermo Electron"	0.142244
"General Electric"	0.141397
ALZA	0.140824
ARCO	0.140159
GTE	0.140024
UAL	0.139561
"Chrysler Corp."	0.138726
Cendant	0.138254
Viacom	0.13783
Chevron	0.136364
Texaco	0.135981
Daimler	0.135422
Chrysler	0.134678
ascend	0.134392
Mattel	0.133287
Paribas	0.132822
Amoco	0.132672
Biogen	0.132092
Mobil	0.131829
MCI	0.13163
HSBC	0.131348
"BP Amoco"	0.130779
"Bear Stearns"	0.130551
"Waste Management"	0.12995
Litton	0.129843
EarthLink	0.129765
"Morgan Stanley Dean Witter"	0.129638
TYCO	0.129358
Kodak	0.129211
Aetna	0.12873
"Travelers Group"	0.128559
Starwood	0.128509
"Atlantic Richfield"	0.128452
Qwest	0.127583
"Bell Atlantic"	0.127191
COLTEC	0.127001
Mannesmann	0.126834
Pepsico	0.126223
Petrofina	0.126197
"Morgan Stanley"	0.125915
BellSouth	0.125516
"P&AMP;G"	0.125492
Halliburton	0.1249
Vivendi	0.124507
LTCB	0.124436
"HBO &AMP; Co."	0.124374
TCI	0.123937
"US Airways"	0.123293
"Sprint Corp."	0.123151
NORTHROP	0.123124
CCE	0.122972
"Dresdner Bank"	0.122943
"GE Capital"	0.12284
"GTE Corp."	0.122643
"Northeast Utilities"	0.122606
"Merrill Lynch"	0.122485
Amgen	0.12237
Monsanto	0.12205
Medtronic	0.121935
CMGI	0.121773
SBC	0.121554
Commerzbank	0.120687
Comcast	0.120652
"American Express"	0.119862
"Dayton Hudson"	0.119844
AMR	0.119708
XYLAN	0.119219
Warner-Lambert	0.119196
Cisco	0.119033
NatWest	0.118942
"Hambrecht &AMP; Quist"	0.118579
"Bay Networks"	0.118411
Goldman	0.118364
REVLON	0.118345
"Chase Manhattan Corp."	0.118032
"Procter &AMP; Gamble"	0.117918
"Credit Suisse"	0.117767
"Adobe Systems"	0.11724
"American Home Products"	0.11721
"International Paper"	0.117022
"Tele-Communications Inc."	0.116921
"Boston Scientific"	0.116662
Vodafone	0.116329
SunTrust	0.116162
"Eastman Kodak"	0.116047
Stratus	0.115688
Georgia-Pacific	0.115676
Emulex	0.115504
"Societe Generale"	0.115333
EMC	0.115304
Pairgain	0.115231
"American International Group"	0.115211
"Telecom Italia"	0.115019
Raytheon	0.114983
Gillette	0.114959
"Global Crossing"	0.11475
Sunbeam	0.114559
"Nippon Credit"	0.114465
"Union Carbide"	0.114378
Exxon	0.114184
"JP Morgan"	0.114168
Lockheed	0.113955
"Dow Chemical"	0.113936
"J.P. Morgan &AMP; Co."	0.113766
Motorola	0.113725
E-LOAN	0.113597
"American Home"	0.113347
"Gap Inc."	0.112984
GANNETT	0.112797
WPP	0.112719
PLDT	0.112649
"Johnson &AMP; Johnson"	0.112565
Alcan	0.112475
Maytag	0.112383
ExciteAtHome	0.111478
MindSpring	0.111094
"Bank of New York"	0.110813
"News Corp."	0.110756
"Berkshire Hathaway"	0.110725
Bestfoods	0.110124
"ABN AMRO"	0.110014
"Federated Department Stores"	0.109922
HBOC	0.109816
"Niagara Mohawk"	0.109598
Alcoa	0.109136
Merrill	0.109077
Dupont	0.109071
Asarco	0.10893
Nabisco	0.108822
"Wine Institute"	0.108556
"Fannie Mae"	0.108373
"Lehman Brothers"	0.108241
TELLABS	0.108237
Mediaone	0.108225
"Times Mirror Co."	0.107979
Nortel	0.107923
Publicis	0.107576
"Atlantic Richfield Co."	0.106962
Bertelsmann	0.106949
PaineWebber	0.106547
Dresdner	0.106479
"Mobil Corp."	0.106283
"Chevron Corp."	0.10622
UAM	0.106054
MiniMed	0.105883
"Texas Instruments"	0.105855
ENTREMED	0.105673
"True North"	0.105592
SGI	0.105498
Humana	0.105437
"Silicon Graphics"	0.105382
Barclays	0.105221
"SBC Communications"	0.10494
"Ford Motor"	0.104728
"Philip Morris"	0.104596
AIG	0.104448
Berkshire	0.104416
"Times Co."	0.10363
Sumitomo	0.103447
Penney	0.103399
Marketspan	0.103307
"National Grid"	0.103282
"CBS Corp."	0.10286
Telefonica	0.10269
Omnicom	0.10265
CNET	0.102557
Compaq	0.102429
Broderbund	0.10241
"Netscape Communications Corp."	0.102357
Qualcomm	0.102244
Hasbro	0.10206
"Exxon Mobil"	0.102019
"Paine Webber"	0.101824
Federated	0.10174
WebMD	0.101714
VoiceStream	0.101513
Corning	0.101486
Unilever	0.101474
Cabletron	0.101451
"Mattel Inc."	0.101393
Novell	0.10139
Tandy	0.101184
"British Aerospace"	0.100595
"Robertson Stephens"	0.100571
"Computer Associates"	0.100501
Merck	0.100412
AGL	0.1003
"Sprint PCS"	0.100051
))
("BankAmerica Corp." (desc 2371.4) (sims
BankAmerica	0.250685
"Bankers Trust Corp."	0.22281
"Chase Manhattan Corp."	0.18421
"Bank of America"	0.173443
"UBS AG"	0.171904
Citicorp	0.163974
"Travelers Group"	0.15616
"Chase Manhattan"	0.142228
"Northeast Utilities"	0.142189
BofA	0.136486
"Chevron Corp."	0.136419
"Time Warner Inc."	0.126712
"Chrysler Corp."	0.126537
"Seagram Co."	0.126515
"Wells Fargo"	0.124981
"First Union Corp."	0.124718
"Times Mirror Co."	0.122944
"Atlantic Richfield"	0.121821
"Monsanto Co."	0.121542
"Mobil Corp."	0.12123
"Exxon Corp."	0.119793
"Goldman Sachs Group"	0.116812
Publicis	0.116741
"NationsBank Corp."	0.115349
"CBS Corp."	0.113613
"BankBoston Corp."	0.112891
"Cendant Corp."	0.112526
"Prudential Insurance Co."	0.111484
Norwest	0.111195
"Wine Institute"	0.109985
"Mattel Inc."	0.10838
"Halliburton Co."	0.108226
"Hyundai Group"	0.107971
"U.S. Trust"	0.106626
"Federated Department Stores"	0.106363
"Citigroup Inc."	0.106363
"American International Group"	0.106141
"Aetna Inc."	0.104746
"Hughes Electronics Corp."	0.104552
"First Union"	0.104205
"Ameritech Corp."	0.103956
"Viacom Inc."	0.103443
"Tele-Communications Inc."	0.10221
"MediaOne Group"	0.101361
"Atlantic Richfield Co."	0.10016
"Cisco Systems Inc."	0.0994888
"MCI Communications Corp."	0.099431
"UAL Corp."	0.0994114
"Sprint Corp."	0.0977997
"SBC Communications"	0.0975228
"Bay Networks"	0.0965447
"Fred Meyer"	0.0959645
"NEC Corp."	0.0955881
Petrofina	0.0953056
"Burlington Northern"	0.0942894
"Dow Jones &AMP; Co."	0.0937742
SmithKline	0.0931344
CSX	0.0921359
"Union Carbide"	0.0918153
"Pepsico Inc."	0.09162
"Sony Corp."	0.0914441
"Times Co."	0.0912681
Daimler-Benz	0.0911501
"Bankers Trust"	0.0911292
"SBC Communications Inc."	0.091056
"Netscape Communications"	0.0910447
"RJR Nabisco"	0.0907793
"Ford Motor Company"	0.0907143
"General Electric Co."	0.0902712
YankeeNets	0.0897613
Viacom	0.0895451
"Texaco Inc."	0.0894408
"HBO &AMP; Co."	0.0889612
NationsBank	0.0884527
"Fleet Financial Group"	0.0879212
"Enron Corp."	0.0877203
"Charles Schwab Corp."	0.0877063
"U S West Inc."	0.0874848
"National Semiconductor"	0.0869725
"Nikko Securities Co."	0.0864513
"GTE Corp."	0.0864098
"Chase Manhattan Bank"	0.0852732
"Daimlerchrysler AG"	0.0846661
"Bank of Japan Ltd."	0.0846092
"Learning Co."	0.0844701
"Times Mirror"	0.0842942
Asarco	0.08416
"Lycos Inc."	0.0840064
"America West Airlines"	0.0837462
"Airtouch Communications"	0.0827006
"BellSouth Corp."	0.082349
"Daimler-Benz AG"	0.0817626
"J.P. Morgan &AMP; Co."	0.0817163
Chrysler	0.0817008
"Computer Associates"	0.0815555
PaineWebber	0.080864
"U S West"	0.0805404
"Deutsche Bank AG"	0.0802302
"Hearst Corporation"	0.0796646
"New York Times Co."	0.0796311
N@K	0.0792776
"Daewoo Group"	0.0790306
"Hearst Corp."	0.0789208
"Learning Company"	0.0788034
"Morgan Stanley Dean Witter &AMP; Co."	0.0786591
"Universal Music Group"	0.0778525
"Lotus Development Corp."	0.0778017
"Deutsche Bank"	0.077713
"AMR Corp."	0.0776562
"GE Capital"	0.0773529
"Cadbury Schweppes"	0.0770638
Ciena	0.076975
"Bank of Italy"	0.0767216
"Hughes Electronics"	0.0767203
"Orange PLC"	0.0766492
"Mannesmann AG"	0.0765649
Honeywell	0.0758372
"Volkswagen AG"	0.0757442
Cendant	0.0756699
"Frontier Corp."	0.0756411
WorldCom	0.0754935
"Time Warner"	0.0753553
Citigroup	0.0751651
ALZA	0.0751312
"General Motors Corp."	0.0749214
VoiceStream	0.0747569
Genzyme	0.074733
"True North"	0.0746144
"Bertelsmann AG"	0.0740942
"Compaq Computer"	0.0739822
"Saatchi &AMP; Saatchi"	0.0738015
AMR	0.0737355
WPP	0.0737118
MCI	0.0736841
"SmithKline Beecham"	0.0735694
Travelers	0.0728331
"Ford Motor"	0.0727822
Seagram	0.0726351
Novartis	0.0723817
"Volvo AB"	0.071956
"Gillette Co."	0.0716715
"Phelps Dodge"	0.071566
"Wal-Mart Stores Inc."	0.0715287
"Mitsubishi Motors"	0.0715282
"Siemens AG"	0.0713757
"WorldCom Inc."	0.071355
"Nomura Securities Co."	0.0711743
"Levi Strauss &AMP; Co."	0.0710675
"Tribune Co."	0.0709687
Warner-Lambert	0.0709448
PolyGram	0.070893
"Lockheed Martin Corp."	0.0707647
"Turner Broadcasting"	0.0706573
"Philip Morris Cos."	0.0705266
"Eastman Kodak Co."	0.0703065
"Bell Atlantic Corp."	0.0700191
"Ford Motor Co."	0.0699314
"Time Inc."	0.0698133
"America Online Inc."	0.0697482
Astra	0.0693588
"Columbia Pictures"	0.0693057
"China National Petroleum Corporation"	0.0691674
"MCI WorldCom"	0.0691118
BankBoston	0.0689336
Telefonica	0.0689229
Nabisco	0.0688584
Paribas	0.0686008
Comsat	0.0684785
"Delta Air Lines"	0.0682337
Hasbro	0.0682135
"Digital Equipment Corp."	0.0679679
"Gap Inc."	0.0679578
"Liz Claiborne"	0.0679339
"Toyota Motor Corp."	0.0678928
Mobil	0.0675694
"two pitchers"	0.0675195
"British Petroleum"	0.0673613
Lagardere	0.0673219
"Fuji Bank"	0.0673079
"Credit Suisse"	0.0672937
Chevron	0.0672641
"Salomon Brothers"	0.0672506
GEC	0.0670214
Avondale	0.0668062
Ameritech	0.0667703
"Exxon Mobil"	0.0665414
"Y&AMP;R"	0.0662799
"National Abortion and Reproductive Rights Action League"	0.066221
Schlumberger	0.0662086
"National Grid"	0.066185
GPU	0.0659088
Bestfoods	0.0658471
"Thai Farmers Bank"	0.0658093
Cablevision	0.0657902
"McDonnell Douglas"	0.0657739
"Nissan Motor Co."	0.065769
TCI	0.0657586
"International Business Machines Corp."	0.0656136
"Coca-Cola Co."	0.0655451
UBS	0.0654516
))
(BankBoston (desc 12103.5) (sims
"BankBoston Corp."	0.238713
Norwest	0.20573
"Wells Fargo"	0.205476
BofA	0.193186
BankAmerica	0.189574
"Bankers Trust"	0.188601
NationsBank	0.18711
"Deutsche Bank"	0.17877
"Bank of America"	0.176687
"First Union"	0.169127
"Chase Manhattan"	0.167989
McKesson	0.153764
Citibank	0.149255
Paribas	0.14705
Mannesmann	0.145305
ascend	0.145145
"U.S. Trust"	0.144369
GTE	0.138712
NatWest	0.138392
MCI	0.138115
Monsanto	0.13755
Airtouch	0.137384
"J.P. Morgan"	0.135447
RJR	0.13498
COLTEC	0.134851
TCI	0.132968
UBS	0.132248
Warner-Lambert	0.131502
Ameritech	0.131405
WorldCom	0.13093
TYCO	0.129921
"U S West"	0.129442
"Societe Generale"	0.129328
ARCO	0.128982
"Merrill Lynch"	0.128148
Mobil	0.127618
SmithKline	0.126979
"Thermo Electron"	0.126353
"Times Mirror"	0.12619
ALZA	0.126175
Daimler	0.125573
"National Grid"	0.125323
"Nippon Credit"	0.12486
Petrofina	0.123268
"KCP&AMP;L"	0.123088
"Time Warner"	0.12278
Aetna	0.122625
UAL	0.122332
"Y&AMP;R"	0.122051
Starwood	0.121335
Qwest	0.120251
Honeywell	0.119449
"Telecom Italia"	0.119426
Schwab	0.1191
"MCI WorldCom"	0.118979
"Bankers Trust Corp."	0.118768
Merrill	0.118668
"Learning Co."	0.118664
Vivendi	0.118614
Mediaone	0.118529
"US Airways"	0.118522
Dresdner	0.118369
"Sprint Corp."	0.117974
Mattel	0.117795
Amoco	0.117307
"Morgan Stanley"	0.117268
HSBC	0.116882
Citigroup	0.116689
"RJR Nabisco"	0.116403
Seagram	0.11639
Viacom	0.115722
Chrysler	0.11561
"Donaldson, Lufkin &AMP; Jenrette"	0.114486
Humana	0.114273
Ciena	0.113908
Lockheed	0.113837
Sunbeam	0.113331
"BP Amoco"	0.113252
Bestfoods	0.112775
"Robertson Stephens"	0.112693
Goldman	0.111989
Lilco	0.111734
BOC	0.111611
YPF	0.111466
Pairgain	0.111039
BellSouth	0.110688
"Waste Management"	0.109694
"American Home"	0.109173
SBC	0.109164
"Chrysler Corp."	0.109094
"Bell Atlantic"	0.108683
"Bear Stearns"	0.108457
Georgia-Pacific	0.108456
"GTE Corp."	0.108395
Broderbund	0.10814
VoiceStream	0.108065
"Niagara Mohawk"	0.107935
Vodafone	0.107927
"Bank of New York"	0.107745
Comsat	0.107094
Alltel	0.107053
Citicorp	0.106897
NORTHROP	0.106264
Compaq	0.106102
Raytheon	0.105532
"Chase Manhattan Bank"	0.105312
Biogen	0.104653
Emulex	0.104408
Asarco	0.103039
Cendant	0.103031
"Goldman Sachs"	0.10281
PaineWebber	0.102773
EarthLink	0.102682
TELLABS	0.102633
"Dresdner Bank"	0.102624
Chevron	0.102481
Nortel	0.102362
"Fleet Financial Group"	0.102191
PolyGram	0.10211
Medtronic	0.10197
Telefonica	0.101901
"International Paper"	0.101669
Barclays	0.101614
EMC	0.101538
Avondale	0.101511
MindSpring	0.101117
CMGI	0.101067
ICBC	0.100846
Kodak	0.100772
Fingerhut	0.10069
WebMD	0.100616
Infoseek	0.100594
"Deutsche Telekom"	0.100437
XYLAN	0.100303
Litton	0.100288
GANNETT	0.100018
Lycos	0.0998707
Halliburton	0.0997646
"P&AMP;G"	0.0990565
VENATOR	0.0989872
Exxon	0.0985509
Pfizer	0.0984461
"Boston Scientific"	0.0983404
"Global Crossing"	0.098334
"Morgan Stanley Dean Witter"	0.0982815
AMR	0.0982643
Gillette	0.0982119
"State Street"	0.098116
"Bay Networks"	0.0980529
ExciteAtHome	0.0980501
"Deutsche Bank AG"	0.097834
Cisco	0.0977625
Broadcast.com	0.0977617
"Credit Suisse First Boston"	0.0976516
Enron	0.0973695
Alcoa	0.0970473
"Digital Equipment Corp."	0.0967325
ENTERGY	0.0966829
AIG	0.0966791
"American Home Products"	0.0965469
Nabisco	0.0962893
"Credit Suisse"	0.0962005
Danka	0.0957453
Asda	0.0956887
IBM	0.0955525
WPP	0.0953646
Tenneco	0.0952866
Livent	0.0952797
Texaco	0.0951359
Genentech	0.0949896
Daimler-Benz	0.094914
Volvo	0.0947658
Seagate	0.0945605
Commerzbank	0.0943932
REVLON	0.0942847
"Ben &AMP; Jerry"	0.0934449
Renault	0.0932811
"Atlantic Richfield"	0.0932791
Cabletron	0.0932561
"Fred Meyer"	0.0930638
Marketspan	0.09296
Hewlett-Packard	0.0928766
LTCB	0.0928356
BCE	0.0924726
DaimlerChrysler	0.0923686
"Times Mirror Co."	0.0922884
HBOC	0.0922777
HP	0.0921908
Netscape	0.0917388
Alcan	0.0916149
Providian	0.0915313
"America West"	0.091503
CCE	0.0909019
GeoCities	0.0908321
Dupont	0.0907915
Deutsche	0.0905323
Astra	0.0905145
Coca-Cola	0.0904288
"News Corp."	0.0903476
"Cadbury Schweppes"	0.0901617
))
("BankBoston Corp." (desc 2325.14) (sims
BankBoston	0.238713
"Bankers Trust Corp."	0.197188
"Fleet Financial Group"	0.174974
"Donaldson, Lufkin &AMP; Jenrette"	0.160959
Paribas	0.158766
"First Union Corp."	0.153096
BankAmerica	0.150441
"CBS Corp."	0.140431
"GTE Corp."	0.13392
"Fred Meyer"	0.1334
"Chrysler Corp."	0.133067
"U.S. Trust"	0.132576
NatWest	0.126409
Warner-Lambert	0.125393
"Gillette Co."	0.123534
"Times Mirror"	0.122189
Citicorp	0.120444
"Atlantic Richfield Co."	0.12016
Norwest	0.120145
"Times Mirror Co."	0.120115
"Deutsche Bank AG"	0.120069
SmithKline	0.119803
Ciena	0.119234
"Putnam Investments"	0.118735
"Sprint Corp."	0.118216
"Bankers Trust"	0.118069
COLTEC	0.11763
"Learning Co."	0.116776
"Wells Fargo"	0.116557
ALZA	0.115861
"Mobil Corp."	0.114693
ARCO	0.114126
"BankAmerica Corp."	0.112891
Comsat	0.111521
"Bay Networks"	0.111215
Donaldson	0.11093
"Ameritech Corp."	0.110689
"NationsBanc Montgomery Securities"	0.108711
Airtouch	0.107142
"Netscape Communications"	0.10656
Petrofina	0.106226
"Union Carbide"	0.10608
"U S West"	0.105535
GTE	0.104978
GPU	0.104462
"Niagara Mohawk"	0.104322
"Thermo Electron"	0.103169
"Northeast Utilities"	0.103063
Bestfoods	0.102789
"Atlantic Richfield"	0.102392
Amoco	0.102042
"Lotus Development Corp."	0.10102
"Frontier Corp."	0.100193
"Bank of Montreal"	0.100033
"Monsanto Co."	0.0996037
"Times Co."	0.0994178
Ameritech	0.0993659
"Telecom Italia"	0.0993191
"MediaOne Group"	0.0991284
DRI	0.0981918
"Deutsche Bank"	0.0980918
Pairgain	0.0963105
Avondale	0.0962092
"National Association of Realtors"	0.0956166
"U S West Inc."	0.0953728
WorldCom	0.0945225
TCI	0.0942194
"Netscape Communications Corp."	0.0940873
GEC	0.0940826
Mobil	0.0940056
"US Airways"	0.0930505
BofA	0.0922589
NationsBank	0.0919753
"RJR Nabisco"	0.0914354
"Bell Atlantic Corp."	0.0908672
Broadcast.com	0.090521
"National Grid"	0.0902471
Telefonica	0.0900372
Monsanto	0.0898925
"Air Transport Association"	0.0897899
"Royal Bank of Scotland"	0.0896734
Viacom	0.0893227
Chrysler	0.0889064
Mediaone	0.0888052
"Bear Stearns"	0.088673
"Time Warner Inc."	0.0880477
Fingerhut	0.0879656
Dexter	0.0879485
Lilco	0.0876268
"Time Warner"	0.0873635
"Airtouch Communications"	0.0871682
Seagram	0.087077
Mannesmann	0.0867864
EarthLink	0.0866399
"Raytheon Co."	0.086617
"Learning Company"	0.0860983
"Seagram Co."	0.0858909
"MCI Communications Corp."	0.0856647
"Warner-Lambert Co."	0.0854486
Emulex	0.0854146
"Societe Generale"	0.08531
"Orange PLC"	0.0843125
Alcan	0.0840167
"Y&AMP;R"	0.083883
Georgia-Pacific	0.0834629
"American Home"	0.0832325
PolyGram	0.0831721
Vivendi	0.0830793
"McDonnell Douglas"	0.0830283
McKesson	0.0829597
"Warburg Dillon Read"	0.0828951
"American Home Products Corp."	0.082834
BCE	0.0828112
Nabisco	0.0827165
"J.P. Morgan &AMP; Co."	0.0824764
"Salomon Brothers"	0.0824396
"Tele-Communications Inc."	0.0822666
MCI	0.082189
"equity interest"	0.0821717
VICKERS	0.08214
"Cadbury Schweppes"	0.0821097
"J.P. Morgan"	0.0820495
"Lycos Inc."	0.0814737
"Global Crossing"	0.0814061
KPN	0.0813651
WebMD	0.0810999
"Bank of America"	0.0810474
"Federated Department Stores"	0.0807135
VoiceStream	0.0807072
"First Union"	0.080593
"Levi Strauss &AMP; Co."	0.0797804
Chris-Craft	0.0796962
LTCB	0.0788934
"Ford Motor Company"	0.0788842
Daimler	0.078765
"USA Networks"	0.078412
Schlumberger	0.0778377
PaineWebber	0.0774676
"American Home Products"	0.0774001
AstraZeneca	0.0773681
Humana	0.0770037
"Air Canada"	0.0768194
"British Aerospace"	0.0767165
"Merrill Lynch &AMP; Co."	0.0763117
"Daimlerchrysler AG"	0.076233
Volvo	0.0761303
"Lehman Brothers"	0.0761136
"Digital Equipment"	0.0759394
"Merrill Lynch"	0.075747
RJR	0.0752785
"Dow Jones &AMP; Co."	0.0751865
Seagate	0.0751797
"General Motors Corp."	0.0749233
YPF	0.0748718
"Digital Equipment Corp."	0.0748518
Aetna	0.0746567
"Federal Reserve Bank"	0.0745503
AMR	0.0744587
"John Hancock"	0.073989
"Paine Webber"	0.073962
Infoseek	0.0738411
Qwest	0.0737904
"Dresdner Bank"	0.0737443
"Cendant Corp."	0.0736549
"Hambrecht &AMP; Quist"	0.0735239
GeoCities	0.0733585
"BP Amoco"	0.0732981
Astra	0.0729722
"Gap Inc."	0.0724398
Broderbund	0.0723879
Cerent	0.0722713
Tenneco	0.072209
Citibank	0.0721987
MindSpring	0.0719091
"Atlanta Committee"	0.0717307
"Newport News"	0.0714963
"Chase Manhattan Bank"	0.071223
Texaco	0.0711043
UAL	0.0709381
"Computer Associates"	0.0708328
"American Petroleum Institute"	0.0707848
"Chase Manhattan"	0.0705821
"Hughes Electronics Corp."	0.0705413
Starwood	0.0701531
HKMA	0.0700867
ENTERGY	0.070004
"Federal Reserve Bank of New York"	0.0698765
"WorldCom Inc."	0.0693467
"Coca-Cola Co."	0.0691956
"MCI WorldCom"	0.0691424
Genzyme	0.0690248
Renault	0.068717
"Texaco Inc."	0.0686223
"News Corp."	0.0685992
Orangina	0.068261
"National Federation"	0.0681551
"Bausch &AMP; Lomb"	0.0681393
Unicom	0.0678618
UBS	0.0677187
Primedia	0.0675034
))
(banker (desc 53764.1) (sims
"business leader"	0.172502
businessmen	0.171127
"investment banker"	0.168589
"business executive"	0.160695
financier	0.158294
trader	0.154514
entrepreneur	0.153427
Industrialist	0.152713
economist	0.149766
politician	0.1445
executive	0.144234
broker	0.141254
investor	0.141217
businessman	0.140064
diplomat	0.139304
lawyer	0.136763
"government officials"	0.136327
educator	0.135371
analyst	0.134406
journalist	0.132937
"venture capitalist"	0.130688
accountant	0.130099
scientist	0.127959
stockbroker	0.127319
official	0.126865
developer	0.125642
environmentalist	0.124735
lawmaker	0.124575
regulator	0.123268
legislator	0.122933
activist	0.122923
expert	0.12223
"military officer"	0.121402
"policy maker"	0.121342
scholar	0.121243
academic	0.120759
engineer	0.119124
"political leader"	0.118071
doctor	0.118027
dealer	0.117906
professional	0.117564
lobbyist	0.115427
"legal expert"	0.114978
"labor leader"	0.114525
lender	0.114249
"Wall Street analyst"	0.112081
consultant	0.11144
"economic expert"	0.111358
"corporate executive"	0.111294
planner	0.110973
manager	0.108502
bureaucrat	0.106441
farmer	0.106392
policy-makers	0.105826
parliamentarian	0.10565
owner	0.105639
"religious leader"	0.105605
physician	0.105424
philanthropist	0.104719
insurer	0.104256
merchant	0.104113
businesspeople	0.104059
strategist	0.103238
"currency trader"	0.101876
employee	0.10172
teacher	0.101395
researcher	0.101298
architect	0.100464
citizen	0.0995306
administrator	0.0993557
insider	0.0988836
advocate	0.0987726
"business community"	0.0986145
specialist	0.0984448
landowner	0.0981982
leader	0.0975293
"finance minister"	0.0970677
member	0.0970069
"army officer"	0.0969632
adviser	0.0966491
worker	0.0966327
contractor	0.096378
intellectual	0.096108
"cabinet minister"	0.0960673
prosecutor	0.0960378
tycoon	0.0960366
congressmen	0.0957832
officer	0.095774
Attorney	0.0957492
creditor	0.0957113
"financial institution"	0.0953444
"civil servant"	0.0947699
operator	0.0947431
"insurance company"	0.0942872
bank	0.0941796
"social worker"	0.093484
firm	0.0934627
donor	0.0927845
collector	0.0927563
"real estate developer"	0.0927373
statesmen	0.0920653
observer	0.092058
restaurateur	0.0918777
"market participant"	0.0916632
manufacturer	0.0912852
designer	0.0911169
psychologist	0.0909613
consumer	0.0907497
"police officer"	0.0906364
exporter	0.0905765
musician	0.0905657
historian	0.0904809
resident	0.0903224
technician	0.0899436
employer	0.0898044
writer	0.0895593
artist	0.0894789
Programmer	0.089262
"travel agent"	0.0891561
"elected official"	0.089119
"investment adviser"	0.0890424
shareholder	0.0889062
people	0.0887653
rancher	0.0886636
student	0.0878095
"real estate agent"	0.0877366
representative	0.0875879
agent	0.0872723
"federal official"	0.0870567
"social scientist"	0.0869892
auditor	0.086973
individual	0.0869327
client	0.0866043
"newspaper editor"	0.0864905
aide	0.0860947
judge	0.0860674
"military leader"	0.0860211
jurist	0.0858965
Governor	0.0858937
company	0.085484
grower	0.0853437
policymakers	0.0852807
"central bank"	0.0852558
reporter	0.0850618
"board member"	0.0847553
"labor union"	0.0841058
nurse	0.0840151
corporation	0.083797
"FBI agent"	0.0836839
minister	0.0836806
investigator	0.0836653
publisher	0.0836419
supporter	0.0833514
academician	0.0832331
"trial lawyer"	0.0831367
underwriter	0.0830235
dentist	0.0830038
Mayor	0.0828419
Ambassador	0.0828339
senator	0.0827393
critic	0.0826113
staffer	0.0824698
"council member"	0.0824061
foreigner	0.0823405
rabbi	0.0821582
builder	0.0821213
delegate	0.0820894
forecaster	0.0820797
associate	0.0819745
promoter	0.0818264
group	0.0816962
partner	0.0816919
customer	0.0816017
buyer	0.0815022
producer	0.0814848
landlord	0.0814252
athlete	0.0812764
counselor	0.081025
retailer	0.0810155
commentator	0.0808943
colleague	0.0806753
"foreign minister"	0.080515
"brokerage firm"	0.0805135
homeowner	0.0803807
boss	0.0803301
"computer programmer"	0.0803123
pilot	0.0803
parent	0.0802309
"car dealer"	0.0801478
dignitary	0.0801448
"truck driver"	0.0800122
surgeon	0.0800078
pediatrician	0.0799387
clerk	0.0799257
dissident	0.0798947
supplier	0.0798343
pundit	0.0797292
"staff member"	0.0797032
"civic leader"	0.0796739
psychiatrist	0.0795695
))
("Bankers Trust" (desc 9753.79) (sims
Paribas	0.207675
BankAmerica	0.201222
BankBoston	0.188601
"Lehman Brothers"	0.186537
"Goldman Sachs"	0.186412
"Chase Manhattan"	0.184148
"Deutsche Bank"	0.181046
"J.P. Morgan"	0.180491
"U.S. Trust"	0.17785
"Bear Stearns"	0.176807
"Wells Fargo"	0.176595
"Credit Suisse First Boston"	0.17345
"Bankers Trust Corp."	0.171956
"Morgan Stanley"	0.16902
BofA	0.163595
HSBC	0.162752
"Bank of America"	0.162228
Citigroup	0.161097
Citicorp	0.159469
"Societe Generale"	0.157758
PaineWebber	0.157148
"Merrill Lynch"	0.156242
"Dresdner Bank"	0.152887
ARCO	0.152726
Citibank	0.151734
"ABN AMRO"	0.151176
"J.P. Morgan &AMP; Co."	0.150684
UBS	0.149991
NationsBank	0.149569
"U S West"	0.1485
Mannesmann	0.147806
GTE	0.147042
"Hambrecht &AMP; Quist"	0.146355
"Learning Co."	0.144429
"GTE Corp."	0.143641
Avondale	0.143506
"Atlantic Richfield Co."	0.142319
"US Airways"	0.142263
"Sprint Corp."	0.141618
Seagram	0.141371
Warner-Lambert	0.13933
Bestfoods	0.139226
Airtouch	0.138865
"Morgan Stanley Dean Witter"	0.138685
Amoco	0.138579
ascend	0.138443
"Chrysler Corp."	0.138284
"Mobil Corp."	0.136966
McKesson	0.136033
Ameritech	0.135786
ALZA	0.135723
"Robertson Stephens"	0.135604
"Donaldson, Lufkin &AMP; Jenrette"	0.135009
Ciena	0.13489
"Time Warner"	0.1345
Mobil	0.134353
Monsanto	0.134342
SmithKline	0.134018
"Merrill Lynch &AMP; Co."	0.133577
NatWest	0.133547
Qwest	0.133493
MCI	0.133443
"Y&AMP;R"	0.132589
"Telecom Italia"	0.132431
"First Union"	0.131514
"Chase Manhattan Bank"	0.130892
"Paine Webber"	0.130594
Chrysler	0.130515
Goldman	0.130405
"Times Mirror"	0.129605
Commerzbank	0.128842
PolyGram	0.128765
"Morgan Stanley Dean Witter &AMP; Co."	0.128427
"Salomon Smith Barney"	0.128377
"Credit Suisse"	0.127966
"Atlantic Richfield"	0.126534
TYCO	0.125883
SBC	0.125496
"MediaOne Group"	0.125251
"Times Mirror Co."	0.124791
TCI	0.124647
Aetna	0.124084
Petrofina	0.123867
Daimler	0.123608
"Warburg Dillon Read"	0.122648
AMR	0.122632
VoiceStream	0.122176
"Thermo Electron"	0.122081
Norwest	0.122052
Comsat	0.12076
Mediaone	0.120747
Lilco	0.120563
Honeywell	0.11992
"Bay Networks"	0.119599
Asarco	0.119596
"America West"	0.119349
"Fred Meyer"	0.118934
"American Home Products"	0.118931
"American Home"	0.118738
"BankBoston Corp."	0.118069
"RJR Nabisco"	0.118006
Viacom	0.11755
"Ameritech Corp."	0.117547
"Bank of New York"	0.117402
"BancBoston Robertson Stephens"	0.116806
"JP Morgan"	0.116757
Vivendi	0.115625
NORTHROP	0.115504
GeoCities	0.115062
Mattel	0.114751
"Tele-Communications Inc."	0.11461
prudential	0.113679
Merrill	0.112589
REVLON	0.112291
"Nippon Credit"	0.11206
"McDonnell Douglas"	0.111763
Livent	0.111025
"Digital Equipment Corp."	0.110793
Litton	0.110227
Texaco	0.110176
"MCI WorldCom"	0.109886
"Chase Manhattan Corp."	0.109292
Raytheon	0.10854
Pfizer	0.108375
"Travelers Group"	0.107741
Nabisco	0.107715
"HBO &AMP; Co."	0.107673
"Global Crossing"	0.107377
WorldCom	0.107067
"Bell Atlantic"	0.106455
Sumitomo	0.106121
"Niagara Mohawk"	0.106109
"BP Amoco"	0.105579
Halliburton	0.105524
Cendant	0.105488
RJR	0.105486
"Goldman, Sachs &AMP; Co."	0.10539
"Salomon Brothers"	0.105001
"Deutsche Bank AG"	0.104677
Motorola	0.104613
Telefonica	0.104541
"Northeast Utilities"	0.104301
Lockheed	0.104032
"General Electric Co."	0.103787
Healtheon	0.103297
LTCB	0.103268
"Prudential Securities"	0.103119
Cisco	0.103009
UAL	0.102896
"Time Warner Inc."	0.102821
EarthLink	0.102586
Genentech	0.102472
"Goldman Sachs Group"	0.102379
"Digital Equipment"	0.102255
GEC	0.101578
"Lockheed Martin"	0.101486
Dresdner	0.101471
"American Express"	0.101188
CMGI	0.101166
"Cadbury Schweppes"	0.101116
Broadcast.com	0.100555
"Times Co."	0.100363
Volvo	0.100156
"Union Carbide"	0.100062
Alcoa	0.0997835
"Saatchi &AMP; Saatchi"	0.0994973
"News Corp."	0.0992148
Enron	0.0992062
"CBS Corp."	0.0991051
"General Electric"	0.0990723
EMC	0.0989692
Bertelsmann	0.0988364
Compaq	0.0986282
Exxon	0.0985382
DaimlerChrysler	0.0984695
Pepsico	0.0982859
Sunbeam	0.0981216
"First Union Corp."	0.0979778
GANNETT	0.0979517
"Lycos Inc."	0.0975895
"P&AMP;G"	0.0975144
"MCI Communications Corp."	0.0973665
SDL	0.0969061
Daimler-Benz	0.0967992
Schwab	0.0967429
"Learning Company"	0.0967216
GPU	0.0965385
"UBS AG"	0.0964949
"Walt Disney Co."	0.0964808
Westinghouse	0.0961263
Chevron	0.0958093
"Time Inc."	0.0955619
"Lotus Development Corp."	0.0952854
Biogen	0.0950669
HBOC	0.0948475
Astra	0.0947675
PLDT	0.0947498
CUC	0.0946931
ICBC	0.0941683
BellSouth	0.0940121
))
("Bankers Trust Corp." (desc 1040.09) (sims
"Mobil Corp."	0.321094
"Times Mirror Co."	0.259836
"Atlantic Richfield Co."	0.254338
"Ameritech Corp."	0.228392
"BankAmerica Corp."	0.22281
"MCI Communications Corp."	0.215993
"Chrysler Corp."	0.214274
"Frontier Corp."	0.202046
"BankBoston Corp."	0.197188
"Atlantic Richfield"	0.196912
"Lotus Development Corp."	0.195092
"Bay Networks"	0.191994
"NationsBank Corp."	0.189729
"Digital Equipment Corp."	0.188918
"CBS Corp."	0.184464
"MediaOne Group"	0.18302
"U.S. Trust"	0.181702
"Lycos Inc."	0.180968
"Tele-Communications Inc."	0.177174
"Bank of Japan Ltd."	0.175424
"Northeast Utilities"	0.172516
"Nippon Credit Bank"	0.172502
Petrofina	0.171969
"Bankers Trust"	0.171956
"Orange PLC"	0.166304
"Sprint Corp."	0.163446
"Netscape Communications"	0.160361
"U S West Inc."	0.160067
BankAmerica	0.159035
Paribas	0.158787
"Digital Equipment"	0.153275
Bestfoods	0.152744
ARCO	0.152051
PolyGram	0.149981
"Rolls-Royce Motor Cars"	0.149466
"Dresdner Bank"	0.148961
"Netscape Communications Corp."	0.148707
"U S West"	0.145875
Comsat	0.142882
"Learning Company"	0.141076
Orangina	0.140888
Ameritech	0.13764
"Fred Meyer"	0.136987
"GTE Corp."	0.136197
ITT	0.134968
Avondale	0.134808
"Goldman Sachs Group"	0.133006
"Exxon Corp."	0.131762
"Learning Co."	0.131015
"equity interest"	0.130925
"Telecom Italia"	0.130322
"Time Warner Inc."	0.129889
Amoco	0.128748
"Thomson Multimedia"	0.128339
VoiceStream	0.12748
PaineWebber	0.12666
Conrail	0.126345
"Airtouch Communications"	0.126185
"Travelers Group"	0.124982
"Quick &AMP; Reilly"	0.124098
"Reno Air"	0.123304
SmithKline	0.123154
TCI	0.121494
Broadcast.com	0.121444
"UBS AG"	0.120888
BofA	0.120767
Citicorp	0.12056
Ciena	0.119843
Warner-Lambert	0.119417
GEC	0.118978
BankBoston	0.118768
"Texaco Inc."	0.118621
"Mannesmann AG"	0.118326
MCI	0.117567
"Monsanto Co."	0.117534
"Prudential Insurance Co."	0.117257
"Wells Fargo"	0.116484
"McDonnell Douglas"	0.116194
ALZA	0.115973
"Warner-Lambert Co."	0.115887
"HBO &AMP; Co."	0.115621
"J.P. Morgan &AMP; Co."	0.1149
"Y&AMP;R"	0.114863
"Times Mirror"	0.114735
"Wireless HKT"	0.114678
Mobil	0.114499
Mannesmann	0.113402
Asarco	0.11234
"Columbia Pictures"	0.11117
Snapple	0.11091
Mediaone	0.110753
"Sydney Organizing Committee"	0.109632
"Dai-Ichi Kangyo Bank"	0.109491
PRIMESTAR	0.109269
GTE	0.108928
Chrysler	0.108775
"Hambrecht &AMP; Quist"	0.10866
"Chase Manhattan Corp."	0.108181
"Union Carbide"	0.108122
"Blue Cross"	0.1059
S-@@@	0.105147
"Donaldson, Lufkin &AMP; Jenrette"	0.105045
"Burlington Northern"	0.104624
"Nippon Credit"	0.104562
"SmithKline Beecham"	0.104033
"controlling interest"	0.10376
"non-performing loans"	0.103475
"Salomon Brothers"	0.102806
"Time Warner"	0.102484
Airtouch	0.101816
YPF	0.101251
"department store chain"	0.10109
NationsBank	0.100452
baring	0.0999229
Humana	0.0999014
"Merrill Lynch &AMP; Co."	0.0984193
prudential	0.0983143
"Canadian Airlines"	0.0983042
"Chevron Corp."	0.0982534
"San Francisco Chronicle"	0.0980961
"three pitchers"	0.0971245
"Bell Atlantic Corp."	0.0968397
Seagram	0.0960066
"US Airways"	0.0955478
"MindSpring Enterprises"	0.0953745
"Olympic Council of Asia"	0.0953122
"Stock Exchange of Hong Kong"	0.0952944
Netcom	0.095161
"UAL Corp."	0.0949458
SkyTel	0.0945568
NatWest	0.094471
"Saatchi &AMP; Saatchi"	0.0939659
"Nikko Securities Co."	0.0936226
Alcan	0.0934746
"New York Times Co."	0.0932534
"NEC Corp."	0.0931463
Lilco	0.0931446
"Myanmar Embassy"	0.0929566
Publicis	0.092151
Nabisco	0.0920647
"Deutsche Bank AG"	0.0920295
Scania	0.0920284
"Chase Manhattan Bank"	0.0911742
"London Stock Exchange"	0.0905069
"Trans World Airlines"	0.0902762
CompuServe	0.090197
N@K	0.0900775
"Long-Term Credit Bank"	0.089656
Rolls-Royce	0.0896378
LTCB	0.0895851
"Cadbury Schweppes"	0.0894856
"US West"	0.0890802
Pairgain	0.0885966
"Time Inc."	0.0885548
"Citigroup Inc."	0.0882619
Astra	0.0881763
"Pacific Lumber"	0.0875907
"minority stake"	0.0875268
Lycos	0.0868868
"Tribune Co."	0.0867912
"Cendant Corp."	0.0867459
"Robertson Stephens"	0.0862542
Healtheon	0.0860796
"Livent Inc."	0.0853061
"Newport News"	0.0851004
Viacom	0.0850976
"Niagara Mohawk"	0.0847868
Infoseek	0.0842791
"Eastman Kodak"	0.0841743
"RJR Nabisco"	0.0841353
"retail chain"	0.0839962
"New York-New Jersey MetroStars"	0.0837247
"Viacom Inc."	0.0834904
hypermarket	0.0830551
"Yamaichi Securities Co."	0.0830462
"Random House"	0.0830349
"Dow Jones &AMP; Co."	0.0829258
Inc.	0.0823087
Kia	0.0822503
"Deutsche Bank"	0.0822073
"Fleet Financial Group"	0.0820663
"Tampa Bay Lightning"	0.0815215
"BellSouth Corp."	0.0814727
McKesson	0.0814562
Vivendi	0.081193
AMEX	0.0809953
"Qwest Communications"	0.080555
Broderbund	0.0804567
GeoCities	0.079997
"British Petroleum"	0.0797622
"First Union Corp."	0.0796595
"Bank of America"	0.0792536
"Nature Conservancy"	0.0788717
"retail operation"	0.0785535
Totalfina	0.078188
"T Corp."	0.0774858
WPP	0.0773501
"Phoenix Mercury"	0.0770036
"Met Life"	0.076999
WorldCom	0.0767644
))
(banking (desc 56653.1) (sims
telecommunication	0.220267
finance	0.19091
manufacturing	0.17484
"real estate"	0.169378
commerce	0.166628
retailing	0.160798
agriculture	0.160465
insurance	0.159562
industry	0.153971
aviation	0.153337
tourism	0.151543
transportation	0.150078
mining	0.148017
"information technology"	0.148
sector	0.145199
communication	0.145147
business	0.142993
electronics	0.138778
e-commerce	0.136131
transport	0.132491
"banking industry"	0.132212
aerospace	0.131977
publishing	0.130375
marketing	0.129599
"health care"	0.129397
service	0.129268
"high technology"	0.129191
management	0.12534
brokerage	0.125275
engineering	0.124219
lending	0.123435
retail	0.123083
shipping	0.122971
education	0.121716
processing	0.119124
trade	0.118865
technology	0.118183
infrastructure	0.116828
bank	0.116742
shipbuilding	0.115524
broadcasting	0.114927
pharmaceutical	0.113482
Housing	0.112573
market	0.112333
Advertising	0.111846
"chemical industry"	0.110142
taxation	0.109688
distribution	0.10935
investment	0.109042
Telecom	0.108294
metallurgy	0.107362
financing	0.107172
biotechnology	0.10671
construction	0.106339
"banking system"	0.105926
refining	0.105815
"oil industry"	0.105424
networking	0.105216
Telecoms	0.105083
"information service"	0.105076
security	0.105003
warehousing	0.104284
Entertainment	0.103675
"foreign exchange"	0.103296
utility	0.10293
fishery	0.102843
research	0.102482
"mutual fund"	0.102308
"life insurance"	0.102225
trading	0.10215
economy	0.102071
energy	0.102046
accounting	0.10127
development	0.100914
textile	0.100857
transaction	0.100223
petrochemical	0.0991964
farming	0.0989935
automobile	0.0984434
petroleum	0.0983955
"construction industry"	0.0980999
"securities industry"	0.0972224
software	0.0966592
"securities market"	0.0958645
health	0.0957639
computing	0.0956946
auto	0.0955719
"higher education"	0.0954451
enterprise	0.0952666
forestry	0.0948429
"financial institution"	0.094769
financial	0.0942124
"insurance market"	0.0941046
operation	0.0939885
gambling	0.0936409
procurement	0.0935512
production	0.0934516
company	0.0923354
stock	0.0918086
high-tech	0.0916617
"product development"	0.0914095
protection	0.0912417
"insurance business"	0.091196
employment	0.0911307
Gaming	0.0909248
"customer service"	0.0901379
"building material"	0.0898168
"securities trading"	0.0897444
Internet	0.0894684
oil	0.089428
agribusiness	0.0892516
product	0.0892142
logistics	0.0891078
mortgage	0.0890429
catering	0.0888722
environment	0.0888705
tobacco	0.0880149
shopping	0.0879169
system	0.087633
"phone service"	0.0875764
planning	0.0875685
science	0.0867215
"telephone service"	0.0866864
"credit card"	0.0863834
machinery	0.0862719
"stock market"	0.0859215
exploration	0.0857743
property	0.0856828
healthcare	0.0856745
semiconductor	0.0855036
Trucking	0.0852354
e-business	0.0849494
"public utility"	0.0849257
media	0.0847172
conservation	0.084637
access	0.0845905
"venture capital"	0.0840525
resource	0.0840143
"postal service"	0.0839538
derivative	0.0836706
venture	0.0836586
"cable television"	0.0834027
wholesale	0.0833117
"blue chip"	0.0832477
equity	0.0831557
politics	0.0830731
annuity	0.0830289
"automobile industry"	0.0828002
travel	0.0827213
"family planning"	0.082675
consultancy	0.0824034
sport	0.0823929
information	0.0823229
"public service"	0.0822535
medicine	0.0821588
"entertainment industry"	0.0819352
"business development"	0.0816247
wireless	0.0814888
electricity	0.0813912
"air travel"	0.0813086
navigation	0.0810095
"data communication"	0.080887
sale	0.0808866
custom	0.08066
"social service"	0.0802494
telephony	0.0802209
"retail sale"	0.080191
"electric power"	0.0801637
"commercial bank"	0.0800467
machine-building	0.0800063
programming	0.0796194
governance	0.079529
"law enforcement"	0.0792164
biotech	0.0791854
firm	0.0789159
"stock exchange"	0.0788808
"securities business"	0.0788471
"property right"	0.0785899
pricing	0.0785163
"data processing"	0.0783993
aeronautics	0.0783873
Privatization	0.0782124
fund	0.0780717
multimedia	0.0780248
consumer	0.0780207
Computer	0.0778712
Microelectronics	0.0778297
"labor market"	0.0777865
"animal husbandry"	0.0777076
"social security"	0.077694
"health service"	0.0776572
activity	0.0775815
immigration	0.0775056
"public security"	0.0769802
"water supply"	0.0767485
marketplace	0.0764731
export	0.0764722
project	0.0764233
"computer industry"	0.0763776
policy	0.0762401
))
("banking analyst" (desc 3118.55) (sims
"telecommunications analyst"	0.214175
"investment strategist"	0.211664
"market strategist"	0.189859
"media analyst"	0.189202
co-head	0.160518
strategist	0.138657
economist	0.117837
"investment banker"	0.113007
"technology analyst"	0.103376
"managing director"	0.103215
"director of research"	0.0641204
Strauss-Kahn	0.0529
"investment officer"	0.052813
climatologist	0.0498387
statistician	0.0493494
"weather forecaster"	0.0491462
forester	0.0479503
"account executive"	0.0474115
Americas	0.0461881
"economic expert"	0.0459775
demographer	0.0457235
"literary agent"	0.0455105
seismologist	0.0449629
"ABN AMRO"	0.0445175
"stock trader"	0.0426526
"security consultant"	0.041379
Litigator	0.0404847
"bond trader"	0.0400839
))
("Banking Committee" (desc 1152.22) (sims
"House International Relations Committee"	0.417849
"House Banking Committee"	0.381286
"House Budget Committee"	0.380919
"House Commerce Committee"	0.358577
"Senate Banking Committee"	0.357638
"Rules Committee"	0.346701
"Senate Budget Committee"	0.346011
"Appropriations Committee"	0.339984
"Commerce Committee"	0.331732
"House Appropriations Committee"	0.323899
"Foreign Relations Committee"	0.321819
"Senate Appropriations Committee"	0.319469
"Ways and Means Committee"	0.318099
"Senate Judiciary Committee"	0.31803
"House Government Reform Committee"	0.317082
"Senate Armed Services Committee"	0.309949
"Senate Governmental Affairs Committee"	0.288324
"Senate Finance Committee"	0.281354
"Senate Commerce Committee"	0.266462
"Senate Foreign Relations Committee"	0.256972
"House Ways and Means Committee"	0.252689
"Judiciary Committee"	0.196493
"finance committee"	0.18661
"Congressional Black Caucus"	0.17442
"House Judiciary Committee"	0.167379
DLC	0.161873
AmCham	0.15198
"PLO Executive Committee"	0.137413
"Atomic Energy Commission"	0.13482
subcommittee	0.132519
"National Economic Council"	0.131136
"General Committee"	0.130591
JMC	0.129805
"Russian Duma"	0.125732
"Human Rights Commission"	0.124492
"Truth Commission"	0.123911
SFC	0.123399
"conference committee"	0.12302
Totalfina	0.121998
IEC	0.121346
NSC	0.120729
"Housing Authority"	0.119043
"Truth and Reconciliation Commission"	0.118955
"board of regents"	0.118807
RNC	0.117242
PNC	0.11617
"Public Service Commission"	0.115921
"National Republican Congressional Committee"	0.115024
"Palestine National Council"	0.114483
"ethics committee"	0.113801
CEC	0.113316
"Supreme Council"	0.112167
CIRC	0.11107
PATA	0.110775
"Federal Reserve Board"	0.110484
"Los Angeles City Council"	0.109203
"planning board"	0.108718
LIFFE	0.108253
DPP	0.10814
"General Council"	0.108016
"Electoral Commission"	0.107695
"Nevada Athletic Commission"	0.107581
"Democratic Congressional Campaign Committee"	0.107487
SPDC	0.107172
"Commonwealth Ministerial Action Group"	0.106676
"Council of Economic Advisers"	0.106391
"National Transportation Safety Board"	0.104925
CMAG	0.103205
"National Defense Commission"	0.103172
"Palestinian National Council"	0.103114
PUC	0.101456
"Central Election Commission"	0.101396
"planning commission"	0.10095
"advisory board"	0.100495
TDC	0.0990333
"Great Hural"	0.0981387
"Jerusalem Committee"	0.097678
"Philippine Senate"	0.0973227
"Federation Council"	0.0968992
"history department"	0.0966619
CCM	0.0961756
"Federal Communications Commission"	0.0961403
"English Football Association"	0.0958716
"city council"	0.0958239
"Board of Supervisors"	0.0941311
NEA	0.0934713
Marketspan	0.0928278
"Nahdlatul Ulama"	0.0924846
"Nevada State Athletic Commission"	0.0920713
CMC	0.0908929
"Democratic Leadership Council"	0.0907871
"Democratic Senatorial Campaign Committee"	0.090706
"search committee"	0.0905078
CCF	0.0904274
"Supreme Soviet"	0.0901624
INEC	0.0899469
"Independence Party"	0.0896081
KPU	0.0895477
"Barisan Nasional"	0.0890756
PDI	0.0889201
"Republican National Committee"	0.0888954
CDU	0.0885848
ICA	0.0884759
"governing board"	0.0878795
PB	0.0877625
Histadrut	0.0872482
"Canadian Alliance"	0.0869248
NRM	0.0856655
ADL	0.0855631
"Caribbean Community"	0.0855414
Presidium	0.0855329
ACB	0.0851918
"Israeli Cabinet"	0.085096
G-@@	0.0846414
Telefonica	0.084355
"Football Association"	0.0839043
"Free Democratic Party"	0.0838459
NASD	0.0838359
"International Society"	0.0834601
"Russian Communist Party"	0.0828882
ITC	0.0827317
DSE	0.0823074
SDP	0.082153
KPA	0.0821516
"interim committee"	0.0817188
NTSB	0.0814271
"military commission"	0.0811418
"Israeli Knesset"	0.0810698
"Jatiya Party"	0.0810432
"board of trustees"	0.0808591
FCC	0.0805233
MCC	0.0804887
"Federal Council"	0.0803264
"Meretz Party"	0.0801561
"Congress (NPC) Standing Committee"	0.0800308
IGAD	0.0800278
Lilco	0.0797131
NDP	0.0794845
"English department"	0.0793748
DAP	0.0791292
"Organizing Committee"	0.0790168
"board of education"	0.0790024
"Dhaka Stock Exchange"	0.0789534
"Executive Board"	0.0787467
CSRC	0.0787118
ARATS	0.0786702
"Democratic Left Party"	0.078568
"executive council"	0.0785636
CNTA	0.0785281
LVMH	0.0785269
"Nuclear Regulatory Commission"	0.0784721
NiSource	0.0784381
"school board"	0.0784322
"Parades Commission"	0.0782812
"US House"	0.0782379
"Olympic Committee"	0.0780523
"CPPCC National Committee"	0.0780213
TRC	0.0777181
"Sanctions Committee"	0.0775727
"Board of Elections"	0.0774404
"Ethics Commission"	0.0774385
"Golkar Party"	0.0772009
"San Miguel"	0.0770586
"National Committee"	0.0766928
KONI	0.0766579
"Democratic Alliance"	0.0763708
"Constitutional Assembly"	0.0763698
"Kosovo Verification Mission"	0.0762801
"Salt Lake Organizing Committee"	0.0757724
UNIP	0.0752344
"National Mandate Party"	0.0750947
DNC	0.0750586
"New York-New Jersey MetroStars"	0.0750341
"Foreign Relations"	0.0749339
"Democratic National Committee"	0.0748493
"National Gambling Impact Study Commission"	0.0747902
FA	0.0747599
"steering committee"	0.0745989
Cablevision	0.0744915
SDLP	0.0738837
"Liberation Front"	0.0738163
ICI	0.0737736
"Palestinian Legislative Council"	0.0737636
CSC	0.0737078
"Congress Standing Committee"	0.0736811
sub-commission	0.073615
PBSI	0.0735553
"CPC Central Commission for Discipline Inspection"	0.0733892
GAAF	0.0732427
CCPIT	0.073011
"Aetna Inc."	0.0728986
Starwood	0.0728564
"Palestinian Council"	0.0727936
SDS	0.0727005
"Patriotic Union of Kurdistan"	0.072225
UNMOVIC	0.0721691
"Republican House"	0.0719947
"Australian Cricket Board"	0.0719349
"Social Democratic Party"	0.0719242
"Independent National Electoral Commission"	0.0719208
))
("banking company" (desc 3861.72) (sims
"bank holding company"	0.211398
"life insurer"	0.153134
"department store chain"	0.144404
"defense contractor"	0.135809
issuer	0.123162
"cable operator"	0.118336
toymaker	0.116346
"toy retailer"	0.115838
drugmaker	0.113285
bottler	0.111174
"telephone company"	0.108887
"brokerage firm"	0.108833
"food company"	0.101944
"accounting firm"	0.100157
"futures exchange"	0.0984554
shipbuilder	0.0973104
"holding company"	0.0940696
brokerage	0.0928129
steelmaker	0.092128
"electric company"	0.0917287
"brokerage house"	0.0907424
"trucking company"	0.0891491
"broadcasting company"	0.087931
"investment trust"	0.0874927
"toy maker"	0.0872833
automaker	0.0872652
"software maker"	0.0868273
"phone company"	0.0861546
carmaker	0.0860733
"insurance broker"	0.0855057
"drug maker"	0.084468
insurer	0.0841669
"electronics company"	0.0837337
lender	0.0831347
"newspaper publisher"	0.0823134
"ad agency"	0.0819797
"home builder"	0.0818333
metropolises	0.0812903
conglomerate	0.0803582
"finance company"	0.0803299
"retail chain"	0.0799871
"auto company"	0.0799777
bookseller	0.0799579
"tire maker"	0.0796897
"Protestant denomination"	0.0791195
"consulting firm"	0.0787364
"publishing company"	0.0776703
"oil producer"	0.0763764
"insurance company"	0.0759709
grocer	0.0757642
underwriter	0.0754717
"insurance firm"	0.0745802
"steel company"	0.0745747
"power company"	0.0744535
"telephone operator"	0.0743883
"gas company"	0.0728338
"savings bank"	0.0715681
"Bankers Trust"	0.0715194
"advertising agency"	0.0712403
Asarco	0.0705171
"credit bureau"	0.0700501
"opera company"	0.0696694
"business organization"	0.069513
"travel agency"	0.0689801
"investment house"	0.0686411
"mining company"	0.0684334
"Bankers Trust Corp."	0.0684306
"car manufacturer"	0.0684151
ISP	0.0683967
"health maintenance organization"	0.0677529
"transportation company"	0.0676195
"aircraft order"	0.0675165
"semiconductor maker"	0.067205
"consulting company"	0.0667272
distributor	0.0666971
brewery	0.066127
"auto maker"	0.0657016
BankAmerica	0.0656895
hauler	0.0654161
behemoth	0.0652053
highflier	0.0649127
"drug czar"	0.0646789
"three pitchers"	0.0642745
"commercial bank"	0.064257
bottlers	0.0642097
marketer	0.0642055
chipmaker	0.0623426
brewer	0.062146
"Learning Co."	0.0616074
"retail operation"	0.0612564
"shipping company"	0.0612421
"Coca-Cola Enterprises"	0.0608898
ISPs	0.0597964
"savings and loan"	0.059363
"trade association"	0.0593212
"Bay Networks"	0.0593096
"private foundation"	0.0592794
Healtheon	0.0590244
"Northeast Utilities"	0.0585113
"banking industry"	0.0585068
"Baby Bells"	0.058285
"insurance market"	0.0582651
"television network"	0.0582039
"investment firm"	0.0581605
"Baby Bell"	0.0580122
"car maker"	0.0578811
"entitlement program"	0.0576226
ECN	0.057537
"Dresdner Bank"	0.0568425
fourth-largest	0.0568172
shipper	0.056718
"closed-end fund"	0.0565659
GPU	0.0561855
"two pitchers"	0.0561553
importer	0.0561333
"investment fund"	0.0557413
"building society"	0.0555257
wholesaler	0.0555051
"restaurant chain"	0.0554045
"pension fund"	0.055091
third-largest	0.0550235
REIT	0.0549593
upstart	0.0548916
"trading partner"	0.0548432
"printing company"	0.0548358
abacus	0.0546448
refiner	0.0543728
"benefit program"	0.0543346
reseller	0.0543231
ICTR	0.0542705
"National Grid"	0.0540857
NiSource	0.0537012
Publicis	0.0534823
powerhouse	0.0533018
"Liberty Media"	0.0531787
consultancy	0.0531144
Litton	0.0527901
thrift	0.0527162
Exxon	0.0526394
"Computer Associates"	0.0526306
SmithKline	0.0525446
spender	0.0524228
"European Bank for Reconstruction"	0.0524176
"Fallon McElligott"	0.0521735
"business unit"	0.0520518
VoiceStream	0.0520137
PaineWebber	0.0519495
swindle	0.0519328
"First Union"	0.0519184
broadcaster	0.0516745
"bus company"	0.0515903
Federated	0.0514487
"Exxon Corp."	0.051445
automakers	0.0514198
issuers	0.0508027
NetZero	0.0507178
fastest-growing	0.0506902
"Carter Center"	0.0505242
denomination	0.0504487
auctioneer	0.0504359
"Mobil Corp."	0.0500598
resellers	0.0497898
ExciteAtHome	0.0497574
Fingerhut	0.0496
"Telecom Italia"	0.0495714
delinquent	0.0493461
"subsidiary company"	0.0492698
"trust company"	0.0492101
"BankAmerica Corp."	0.0491685
NTL	0.0490184
"BP Amoco"	0.0489953
Unisys	0.0489294
PRIMESTAR	0.0488537
"futures market"	0.048736
"discount chain"	0.0486805
safest	0.048661
"TV network"	0.0486409
"Wireless HKT"	0.0485928
"Eastman Kodak"	0.0484717
Bestfoods	0.048443
Schwab	0.0482255
"nuclear power"	0.0481536
"music school"	0.0481149
"think tank"	0.0479175
"communications network"	0.0477747
"information provider"	0.0476717
"stock exchange"	0.0474887
"Lycos Inc."	0.0474371
"body of water"	0.0473557
"U S West"	0.0473268
Petrofina	0.0473171
CMGI	0.0471363
"stock trader"	0.0471311
"Goldman Sachs"	0.0469967
"Rite Aid"	0.0469912
"clearing house"	0.0469754
Ameritech	0.0469724
"Medicare HMO"	0.0469493
McKesson	0.0469265
carmakers	0.0469164
))
("banking industry" (desc 11629.7) (sims
"banking system"	0.191195
"oil industry"	0.134652
banking	0.132212
"securities market"	0.131619
"insurance market"	0.128293
industry	0.124492
sector	0.110552
"film industry"	0.108121
"financial institution"	0.105686
"commercial bank"	0.103306
"construction industry"	0.100005
"automobile industry"	0.0982671
"chemical industry"	0.0979289
"coal industry"	0.0975696
"entertainment industry"	0.0970105
"computer industry"	0.0968491
"monetary system"	0.0958884
"civil service"	0.095414
telecommunication	0.0944531
"shipbuilding industry"	0.0936525
agriculture	0.0932096
"economic system"	0.092669
"electronics industry"	0.0925954
"state enterprise"	0.0925428
"labor market"	0.0924393
"political system"	0.0922124
"securities industry"	0.0914008
"business community"	0.090756
"tax system"	0.0873804
"bond market"	0.0857631
"tobacco industry"	0.0831441
aviation	0.0829574
"stock market"	0.0823422
aerospace	0.0817752
"movie industry"	0.0805236
"state-owned enterprises"	0.0777676
"business sector"	0.0776511
"industrial enterprise"	0.0755266
"railway system"	0.0752608
conglomerate	0.0750117
"job market"	0.0749452
manufacturing	0.0747408
institution	0.0744305
tourism	0.0741309
"balance of payments"	0.0738048
"world economy"	0.0737483
"central bank"	0.0735963
"life insurer"	0.0734556
"insurance business"	0.0732019
fishery	0.0731808
"postal service"	0.0726568
"electoral system"	0.0723543
parastatals	0.0721305
"housing market"	0.0713942
"legal system"	0.0713837
"finance company"	0.0712795
SOEs	0.0708576
"currency market"	0.0708212
enterprise	0.0701959
Judiciary	0.0698445
"labor union"	0.0694035
"toy industry"	0.0690705
"stock exchange"	0.068397
insurer	0.0673506
corporation	0.066693
"insurance company"	0.0666711
"trade policy"	0.0664549
carmakers	0.0662279
"car manufacturer"	0.0661011
mining	0.0656494
"oil market"	0.0656003
commerce	0.0655134
"trucking industry"	0.0652756
"auto maker"	0.0652289
"futures exchange"	0.0648512
"investment climate"	0.0644751
"school system"	0.06437
"housing industry"	0.0643496
retailing	0.0641408
"shipping company"	0.0639737
"steel company"	0.0636794
airline	0.0632731
"distribution system"	0.0631243
"insurance firm"	0.0630596
"trade union"	0.0627063
"fashion industry"	0.0626192
"armed forces"	0.0622981
brokerage	0.0620692
state-owned	0.0618838
"arms industry"	0.0618535
automakers	0.061761
macro-economy	0.0616166
"welfare state"	0.06132
Consul-General	0.0610577
"higher education"	0.0610116
"labor force"	0.060862
infrastructure	0.0605154
"auto company"	0.0604813
"vehicle sale"	0.0603839
"money supply"	0.0603706
"labor movement"	0.0601834
"legal community"	0.0600021
"telephone company"	0.0595309
peso	0.0591237
"economic policy"	0.0588675
"local government"	0.0587588
"non-governmental organizations"	0.0586218
"banking company"	0.0585068
"bus company"	0.0582653
"Justice Ministry"	0.0581968
e-commerce	0.0581066
biotechnology	0.0580815
"Long-Term Credit Bank"	0.0580639
"foreign exchange market"	0.0580572
Bourse	0.0579553
textile	0.0579457
"law enforcement"	0.0577297
transportation	0.0576737
utility	0.0576606
chaebol	0.0573817
"investment fund"	0.0573659
Banks	0.0573174
"real estate"	0.0573026
"retail sale"	0.0572828
Consulate-General	0.0570148
railroad	0.0570034
"health service"	0.0565892
agribusiness	0.0565292
"social welfare"	0.0564458
medium-sized	0.0563562
exporter	0.0561973
"space program"	0.0561209
"high technology"	0.0560546
"school district"	0.0560031
"economic condition"	0.0559218
"trade balance"	0.0557388
"mass media"	0.0555095
"elephant population"	0.0554623
currency	0.0553501
"equity market"	0.0553279
"Finance Ministry"	0.055149
"phone company"	0.0551208
"health maintenance organization"	0.0550096
"current account"	0.0549259
"Foreign Ministry"	0.0549233
"information technology"	0.0546949
"foreign exchange"	0.054678
"Export Processing Zones"	0.0546705
UNEP	0.0543597
"brokerage firm"	0.0541947
"medical institution"	0.0541917
banker	0.0541908
"public security"	0.0540188
subsector	0.0539917
"Daewoo Group"	0.0537593
counterintelligence	0.053607
"power system"	0.053607
automaker	0.0535448
steelmaker	0.0535246
"public opinion"	0.0535106
lending	0.0534063
Telecom	0.0533737
"National Health Service"	0.0532724
"defense contractor"	0.0532678
"police force"	0.0531425
"business leader"	0.0530754
"steel production"	0.0530315
fundamental	0.0529893
"power company"	0.0529788
SMIs	0.0529524
SMEs	0.0529172
"crime rate"	0.0528403
"car maker"	0.0525575
"business organization"	0.0525236
"Philippine Airlines"	0.052309
"Education Ministry"	0.0522651
publishing	0.0522054
"fertility rate"	0.05206
"business activity"	0.0520555
"air travel"	0.0519696
Non-governmental	0.0519382
GDP	0.0519356
"food company"	0.0518367
academia	0.0517144
"money market"	0.0516832
ministry	0.0515662
retail	0.0514876
corporates	0.0514162
"commercial enterprise"	0.0514095
"arms control"	0.0513953
"defense policy"	0.051305
medicare	0.051257
"police department"	0.0511855
LAUSD	0.051141
cooperative	0.0511223
"e- commerce"	0.0511106
"defense system"	0.0511003
"health care"	0.0510242
"social security"	0.0509336
workforce	0.0508557
))
("banking system" (desc 30745.1) (sims
"banking industry"	0.191195
economy	0.157528
"financial institution"	0.152288
"monetary system"	0.144317
sector	0.143358
"commercial bank"	0.136751
bank	0.134837
"political system"	0.120565
system	0.118178
"economic system"	0.11752
"tax system"	0.115901
"legal system"	0.111311
"stock market"	0.110395
"labor market"	0.110388
finance	0.109119
industry	0.107209
banking	0.105926
"world economy"	0.105126
"securities market"	0.103985
infrastructure	0.101635
institution	0.101432
currency	0.0987809
market	0.0973692
"civil service"	0.0971698
agriculture	0.0941766
peso	0.0940417
"Long-Term Credit Bank"	0.0938989
"central bank"	0.0935906
"state enterprise"	0.093299
"social security"	0.0930137
"oil market"	0.091866
"investment climate"	0.0911518
"insurance market"	0.090358
"oil industry"	0.0898389
"balance of payments"	0.0882168
enterprise	0.0879856
"coal industry"	0.0864003
"distribution system"	0.0863474
fundamental	0.0852504
"film industry"	0.0840235
structure	0.0831379
"bond market"	0.0827674
"transportation system"	0.0817661
"financial condition"	0.0809893
"currency market"	0.080744
"money market"	0.0801787
"power grid"	0.080022
SOEs	0.0797758
Judiciary	0.0797528
"economic policy"	0.0791421
"balance sheet"	0.0791241
"oil price"	0.078842
governance	0.0779028
"foreign exchange market"	0.0776907
environment	0.0773011
"economic condition"	0.0771226
conglomerate	0.076446
"railway system"	0.076203
bureaucracy	0.0760821
rupiah	0.075734
ruble	0.0755365
LTCB	0.0752037
"armed forces"	0.0750909
ecosystem	0.0749066
"school system"	0.0747762
military	0.0746721
"investor confidence"	0.0746543
medicare	0.0743122
"rule of law"	0.0737591
macro-economy	0.0732158
"housing market"	0.0729921
"tax collection"	0.0729338
"electoral system"	0.0728917
democracy	0.0727987
baht	0.0714781
"industrial enterprise"	0.0713655
debt	0.071203
"state-owned enterprises"	0.0710581
coffer	0.0707631
process	0.0707339
stability	0.0707266
"trade policy"	0.0705179
"power system"	0.070374
"money supply"	0.0703093
tourism	0.0702616
"space program"	0.0701554
competitiveness	0.0698104
management	0.0697237
rand	0.0696381
yen	0.0695543
fund	0.0694322
budget	0.068962
"police force"	0.0683447
"foreign exchange"	0.0680136
security	0.0679978
"Long-Term Capital"	0.0679349
"health service"	0.0678786
"water supply"	0.0678275
"finance company"	0.0676716
"interest rate"	0.0675864
"welfare state"	0.0674573
"accounting system"	0.0671514
"equity market"	0.0671094
export	0.067012
"construction industry"	0.0669183
society	0.0668351
borrower	0.0665699
airline	0.066483
"law enforcement"	0.0661963
"trading system"	0.0655065
lender	0.065324
"shipbuilding industry"	0.0652235
"investment fund"	0.0652181
"Philippine Airlines"	0.0652134
"Daewoo Group"	0.0651758
"trade balance"	0.0648949
investment	0.0648941
growth	0.0648933
"stock exchange"	0.0647824
policy	0.0644815
"trust fund"	0.0644543
reserve	0.0641944
Bourse	0.064005
inflation	0.0635836
Banks	0.0635347
"Long-Term Capital Management"	0.0633407
telecommunication	0.0633244
"inflation rate"	0.0632482
"public service"	0.0632371
"exchange rate"	0.0625448
operation	0.0625227
health	0.0622305
relation	0.0620861
"mutual fund"	0.0618923
fishery	0.0618814
taxation	0.0617846
treasury	0.0616027
corporation	0.0615317
"growth prospect"	0.0614304
education	0.0610658
"water system"	0.0609434
"unemployment rate"	0.0607206
transport	0.0606642
agency	0.0604365
"Russian bank"	0.0601597
commerce	0.0601518
"electronics industry"	0.0599037
"business community"	0.0598517
"Zimbabwean dollar"	0.0597194
"trading partner"	0.0596465
"bankruptcy law"	0.0595854
manufacturing	0.0595496
foundations	0.0595057
GDP	0.0592261
"consumer demand"	0.0592047
mechanism	0.0591191
"job market"	0.0590962
"telephone system"	0.0590634
"natural resource"	0.0588186
IMF	0.0587846
"foreign policy"	0.0583011
"real estate"	0.0582249
"Exchange Fund"	0.058023
population	0.0579633
reform	0.0577685
utility	0.0577663
"budget deficit"	0.0572468
regime	0.0571588
SMEs	0.0570791
stockpile	0.057033
lending	0.0570159
aviation	0.0569507
transportation	0.0568882
constitution	0.0568486
Asia	0.056737
"crime rate"	0.056726
unemployment	0.0566981
climate	0.0566451
"futures market"	0.0565717
"labor force"	0.0563121
situation	0.0562268
liquidity	0.0561281
recovery	0.0560496
"business sector"	0.056033
Euro	0.0560199
"oil production"	0.0559715
"market order"	0.0559146
law	0.0559004
workforce	0.055757
"Australian dollar"	0.0554331
outlook	0.0554224
administration	0.0554128
"public utility"	0.0553639
capability	0.0553125
"public school"	0.0552789
"social welfare"	0.0550094
cooperative	0.0549361
"health care"	0.0547999
relationship	0.0547619
"retail sale"	0.0547382
))
(Banknote (desc 4829.48) (sims
"bank note"	0.295674
Coin	0.131825
invoice	0.124195
"dollar bill"	0.121284
stamp	0.10734
"identity card"	0.104623
"postage stamp"	0.101845
"traveler's check"	0.100901
"stock certificate"	0.0965023
T-bonds	0.0944826
cheque	0.0816856
"purchase order"	0.078425
"Treasury bond"	0.0769119
jewellery	0.0759597
"Treasury note"	0.0755751
"golf equipment"	0.0723188
postmark	0.0722731
"trading card"	0.0709571
"promissory note"	0.0706812
passport	0.0704711
Stamps	0.0703719
"precious metal"	0.0691031
ID	0.0681495
"birth certificate"	0.0677904
certificate	0.0671452
T-bill	0.0660818
"driver's license"	0.0654185
"boarding pass"	0.0650892
VCDs	0.0641764
"silver dollar"	0.0640088
"window box"	0.0634931
Renminbi	0.0629293
"compact disc"	0.062296
"official document"	0.0622683
"order form"	0.0620167
beany	0.0616627
ingot	0.0609835
dinar	0.0607454
sucre	0.0606745
licence	0.0598902
Naira	0.0593727
"bond offering"	0.0585397
medallion	0.0566745
Thunderbird	0.0561788
"pipe bomb"	0.0552317
coupon	0.0541306
zloty	0.0540956
"license plate"	0.0540662
"Treasury bill"	0.0537291
DVDs	0.0536163
"business card"	0.0528168
Rolex	0.0523612
tranche	0.0522301
"slip of paper"	0.0517787
"oil lamp"	0.0517279
"historical document"	0.051522
"Pentium III"	0.0514327
badge	0.0506844
postcard	0.0506114
"return address"	0.0505833
revers	0.050491
"debt security"	0.0501488
receipt	0.0501105
RMB	0.0500829
convertibility	0.0493502
bronzeware	0.0489953
ruble	0.0489505
CFCs	0.0489253
Eurobond	0.0488648
"compact disk"	0.0488
inkjet	0.0487906
memorabilia	0.0482339
stents	0.0479826
"Chevrolet Monte Carlo"	0.0478736
"value added tax"	0.047848
weaponry	0.0477687
"convertible bond"	0.0475706
sport-utility	0.0475608
coinage	0.0475172
"steam locomotive"	0.0473719
drachma	0.0473559
"money order"	0.0473439
"Office @@@@"	0.0469694
sparkler	0.0469251
olestra	0.0468511
methamphetamine	0.0468354
collectibles	0.0465497
sticker	0.0465285
tablet	0.0462846
cassette	0.0461008
"guided missile"	0.0458536
"tax break"	0.0458496
minibuses	0.0457736
"carriage house"	0.0456308
"commercial paper"	0.045426
pataca	0.045418
euros	0.0453606
"new edition"	0.0453381
"work permit"	0.0452904
"electrical device"	0.0452896
"debt issue"	0.045014
mould	0.0445597
"explosive device"	0.0444868
"bar code"	0.0442014
"Go Network"	0.043934
"Social Security number"	0.0438699
franc	0.0437498
contraband	0.0437411
wristwatch	0.0437208
yuan	0.0436508
souvenir	0.0434708
"beam of light"	0.0434682
vial	0.0434181
"credit report"	0.0434142
"investment fund"	0.0433763
"sum of money"	0.0433449
OS/@	0.0433444
kwanza	0.0433302
Buicks	0.0431794
Eurobonds	0.0430878
"Economic and Monetary Union"	0.0430816
weevil	0.0430325
A@@@	0.0428794
"common shares"	0.042788
iMacs	0.0427825
"bond issue"	0.0427435
illegals	0.0426713
ephedra	0.0425035
cellulose	0.0424288
"five billion yuan"	0.0423731
broadsheet	0.0420959
"registration number"	0.0420929
lacquerware	0.0420637
IOU	0.0419106
"letter of credit"	0.041899
"calling card"	0.0418957
figurine	0.0418386
"more than @@@,@@@ yuan"	0.0416816
"Palm VII"	0.0416585
"medical instrument"	0.0414512
"over @@@ million yuan"	0.0414377
"software product"	0.0413962
"gas plant"	0.0413622
postage	0.0413516
"mainframe computer"	0.0413226
Shariah	0.0412197
shilling	0.0410296
"spare part"	0.0409376
"passenger car"	0.0409327
leaflet	0.0408644
contraceptive	0.0407379
lubricant	0.0407095
newsreel	0.0407004
Zonolite	0.040592
"oil painting"	0.040503
"Ford Expedition"	0.0404362
lev	0.0403992
penny	0.0403757
"Jeep Grand Cherokee"	0.0403756
Athlon	0.0403441
"news bulletin"	0.0403253
pamphlet	0.040325
"consumption tax"	0.040299
trinket	0.0402535
"one billion yuan"	0.0402148
viagra	0.0401305
foodstuff	0.0400972
toolbar	0.0400751
))
(bankroll (desc 2341.73) (sims
"war chest"	0.171523
"nest egg"	0.116499
"annual payment"	0.084324
"elephant population"	0.0808553
"bond offering"	0.0808004
"expense account"	0.0788956
girth	0.0786494
"pay cut"	0.0768911
"golden parachute"	0.0753806
"debt load"	0.0737191
savings	0.0716845
write-off	0.0709051
"slush fund"	0.0704471
"tax base"	0.0696667
jackpot	0.0696209
PRICETAG	0.0687636
payday	0.068621
likability	0.0685228
write-down	0.0683004
hoard	0.0678297
claimer	0.0666955
"tax bill"	0.0664953
outlay	0.0651114
payout	0.0649265
"voter turnout"	0.0644243
"particle accelerator"	0.0637011
"price tag"	0.0633351
"tax deduction"	0.0628786
non-Social	0.0623593
paycheck	0.0598509
"operating budget"	0.0596139
readership	0.0595102
"won-lost record"	0.0590632
"tax change"	0.0588578
"retirement benefit"	0.0587656
endowment	0.0587164
"asking price"	0.0586433
"sticker price"	0.057621
"list price"	0.0561198
coffer	0.0560803
payouts	0.055576
splurge	0.0552342
"foot traffic"	0.0550174
"deficit spending"	0.0547071
"ball club"	0.0546881
kitty	0.0538278
"pipe organ"	0.0532771
"Tyrannosaurus rex"	0.0529871
"investment portfolio"	0.0527814
"luxury liner"	0.0527378
"marketing campaign"	0.0525883
"operating cost"	0.0512214
biceps	0.0511027
checkbook	0.0509473
"food stock"	0.0509095
"profit margin"	0.0506266
dollop	0.0505139
"down payment"	0.0503584
"debt market"	0.0503306
"defense budget"	0.0502908
"face lift"	0.0499244
broadside	0.0495907
"tax liability"	0.0495628
windfall	0.0493602
"raw talent"	0.0493198
gob	0.0492549
"mushroom cloud"	0.0491046
goalpost	0.0489785
"compensation package"	0.0487577
"fund-raising drive"	0.0485944
bequest	0.0485209
"medical bill"	0.048318
"purchase price"	0.0482046
"stock buyback"	0.0481316
backlog	0.0479596
Ransom	0.0478048
"fund-raising campaign"	0.0477415
trifecta	0.0475811
"production cost"	0.0472133
"fire wall"	0.047209
workload	0.0471735
"pay rate"	0.0468418
cache	0.0466904
"personal appeal"	0.0466369
"budget deficit"	0.0463611
"shareholder value"	0.0463464
"pretax charge"	0.0461926
A@XX	0.0461474
"master bedroom"	0.0460554
infusion	0.0460453
"electronic database"	0.0460364
Rolodex	0.0459306
"marketing effort"	0.0458687
stipend	0.0457442
"law practice"	0.0457307
"cost overrun"	0.0456124
"personal loan"	0.0455973
capitalization	0.045464
"capital stock"	0.0453577
"dividend payment"	0.045163
explosiveness	0.0448434
"financial loss"	0.0444528
"sense of balance"	0.0444163
facelift	0.0443422
"hole in the ground"	0.0440647
"labor pool"	0.0440392
overdraft	0.0439568
"bond issue"	0.0438604
overhang	0.0438248
"body weight"	0.0437786
"civic duty"	0.0437487
"credit system"	0.0436836
waistline	0.0434195
"campaign official"	0.0433732
"sum of money"	0.0433724
"entrance fee"	0.0431246
weighting	0.0429152
"white elephant"	0.0428185
megaplexes	0.0427155
"file cabinet"	0.0425786
"pretax loss"	0.0425446
yearling	0.0425202
"stump speech"	0.0424834
self-esteem	0.0424734
thumbnail	0.0424642
"market correction"	0.0424342
"space capsule"	0.0421865
metabolism	0.0420485
"Official Development Assistance"	0.0420473
"waste of time"	0.0419721
"ad blitz"	0.0419516
viewership	0.0419356
vagueness	0.0418596
"TV audience"	0.0416581
fillip	0.0416089
"belt buckle"	0.0415751
wrongdoer	0.0414421
"free time"	0.0414075
counterbid	0.0410775
slipup	0.0410064
shindig	0.0409373
"cargo area"	0.0409282
retinue	0.0409057
losses	0.0408798
"prize money"	0.0408672
"line of credit"	0.0407724
"hostile takeover"	0.0405213
treehouse	0.040335
"certificate of deposit"	0.0401033
"pretax profit"	0.0400867
"price cut"	0.0400678
"small fortune"	0.0400514
))
(bankrupt (desc 5442.62) (sims
insolvent	0.189562
export-oriented	0.0732816
market-oriented	0.0728856
"persona non grata"	0.0704004
incompetent	0.0703543
bankruptcy	0.0690102
state-owned	0.0684504
invalid	0.067374
Y@K-compliant	0.0644332
"Turkish Republic of Northern Cyprus"	0.06281
proactive	0.0598815
payer	0.0585079
co-funded	0.0545695
delinquent	0.0520492
"finance company"	0.0520186
foreign-funded	0.0519085
co-owned	0.0511872
debtor	0.0507309
"joint-stock company"	0.0503022
"pain in the neck"	0.049638
"disaster area"	0.0483476
"Bay Networks"	0.0482499
NPLs	0.047938
laggard	0.0478565
illiterate	0.0474044
"Russian bank"	0.0472557
"Long-Term Credit Bank"	0.0471533
"Coptic Christians"	0.0469605
second-highest	0.0469362
"industrial enterprise"	0.0467349
impossibility	0.0467058
"insurance business"	0.0466567
"split up"	0.0459942
user-friendly	0.0459114
shambles	0.0443585
acquirer	0.0440169
defaulter	0.043848
paraplegic	0.0436364
self-inflicted	0.0435175
"hot stock"	0.0434572
protectorate	0.0433128
"top dog"	0.0431744
"stock company"	0.0430722
"up to @@.@ percent"	0.0426821
polluters	0.0425206
medium-sized	0.042279
"state enterprise"	0.0422221
"Tarrant County"	0.0419574
"insurance firm"	0.0413206
bottler	0.0412746
"first pitcher"	0.0410369
"United Republic of Tanzania"	0.0408773
"barrels per day"	0.0408597
"subsidiary company"	0.040236
SOEs	0.0402003
"sitting duck"	0.040126
solvent	0.040053
))
(bankruptcy (desc 43558.4) (sims
insolvency	0.15821
"bankruptcy protection"	0.141716
recession	0.132814
liquidation	0.129168
"bankruptcy filing"	0.125368
layoff	0.12286
reorganization	0.120799
collapse	0.117508
divorce	0.113816
extinction	0.10882
unemployment	0.10751
default	0.107058
debt	0.106425
"Chapter @@"	0.1042
shutdown	0.103632
merger	0.101896
closure	0.100216
downsizing	0.0961195
takeover	0.0952913
"economic crisis"	0.0932859
"bankruptcy proceeding"	0.0928598
crisis	0.0926474
slump	0.0911805
litigation	0.0911483
failure	0.0907237
disaster	0.0897008
foreclosure	0.0894699
downturn	0.0883865
turmoil	0.0877106
catastrophe	0.0871422
chaos	0.0870531
poverty	0.0863942
"bank failure"	0.0853245
retrenchment	0.0845608
devaluation	0.0843456
consolidation	0.084345
cancellation	0.0841886
"initial public offering"	0.0828252
inflation	0.0826043
retirement	0.0820465
cutback	0.0815994
"budget deficit"	0.0815451
shortage	0.0798964
deficit	0.0796588
slowdown	0.0788679
unrest	0.0786162
seizure	0.0783337
lawsuit	0.0782928
"bankruptcy case"	0.0778426
deportation	0.0775585
disintegration	0.0774932
"job cut"	0.077398
famine	0.0773156
acquisition	0.0772886
"trade deficit"	0.0771831
violence	0.0769645
Depression	0.076789
"plant closing"	0.0761199
meltdown	0.0756868
crises	0.0755794
starvation	0.0755264
contraction	0.0754382
"interest rate"	0.0752347
trouble	0.0751805
buyout	0.0750153
Privatization	0.0749374
"price increase"	0.0748927
oblivion	0.0745525
sale	0.0744966
"unemployment rate"	0.0741068
suicide	0.0738602
closings	0.0738101
liability	0.0732668
joblessness	0.0732346
profitability	0.0730785
"oil price"	0.0730088
decline	0.0728101
instability	0.0726574
crunch	0.0725562
crime	0.0725489
breakdown	0.0724479
restructuring	0.0721017
delinquency	0.0720369
receivership	0.0715888
breakup	0.071418
productivity	0.0713666
employment	0.0712119
"budget cut"	0.0706518
scandal	0.0705077
arrest	0.0704141
Death	0.0695286
"home sale"	0.0695114
accident	0.0694064
theft	0.0693124
disruption	0.0692558
upheaval	0.0691981
bankrupt	0.0690102
loss	0.0685824
stagnation	0.0685707
spending	0.0684813
recapitalization	0.068326
growth	0.0680112
"cost cutting"	0.0678544
difficulty	0.0677246
hyperinflation	0.0675829
"trade surplus"	0.0675284
borrowing	0.0675196
anarchy	0.0675152
shakeout	0.067295
bailout	0.0672785
investment	0.0668778
"bad debt"	0.0666943
crash	0.0665645
problem	0.0665125
homicide	0.0659869
loan	0.065839
epidemic	0.0658185
corruption	0.0657068
tax	0.0655787
kidnapping	0.065369
"fatal accident"	0.0653434
deflation	0.0651187
expansion	0.0651044
"name change"	0.0650685
Dismissal	0.064811
"financial loss"	0.064083
lending	0.0640611
hardship	0.0639566
immigration	0.0637617
prosecution	0.0636808
"civil war"	0.0636626
"power failure"	0.0636309
creditor	0.0636189
blackout	0.0636077
resignation	0.0635961
purchase	0.0634924
"heart attack"	0.0634152
abyss	0.0633815
"crime rate"	0.0633808
arbitration	0.0633159
riot	0.0632765
divestitures	0.0631604
"gas price"	0.0630462
earnings	0.06303
war	0.062813
woe	0.0628059
taxation	0.0625643
"work stoppage"	0.0625327
fraud	0.0624121
reform	0.0623798
earthquake	0.0623746
transaction	0.0621243
"inflation rate"	0.0620102
IPO	0.0618777
adoption	0.0618516
"tax increase"	0.0615059
activity	0.0613891
import	0.0613889
calamity	0.0613181
uncertainty	0.0611378
eruption	0.0610829
"truck sale"	0.0610634
withdrawal	0.0609806
destruction	0.0608471
tragedy	0.0607423
paralysis	0.0606777
impeachment	0.060543
deregulation	0.0604891
"retail sale"	0.0604099
deterioration	0.0603775
"health problem"	0.0602707
profit	0.060161
isolation	0.0601543
"mortgage rate"	0.0600534
inventory	0.0599441
strife	0.0596051
mortality	0.0593847
"cost of living"	0.0593465
flood	0.0593074
drought	0.0592688
conflict	0.0592263
reduction	0.0592236
election	0.0591225
price	0.0589631
outages	0.058915
illness	0.0588882
doldrums	0.0588229
asset	0.0587543
delay	0.0587027
"vehicle sale"	0.0585803
elimination	0.058505
indictment	0.0584898
export	0.0584625
spill	0.0583737
debacle	0.0583097
economy	0.0582626
defection	0.0581944
panic	0.0581827
"money supply"	0.0580649
confusion	0.0580101
))
("bankruptcy case" (desc 1612.04) (sims
"bankruptcy proceeding"	0.139695
"bankruptcy filing"	0.11851
"drug case"	0.107275
"antitrust case"	0.0972116
"custody case"	0.091916
"reorganization plan"	0.0874049
"libel suit"	0.0839426
"debt issue"	0.0769495
"trust account"	0.0739997
"bankruptcy protection"	0.0720929
"debt problem"	0.0710166
reorganization	0.06717
"investment portfolio"	0.0646765
"labor dispute"	0.0626864
caseloads	0.0618228
"legal proceeding"	0.0616901
"customer complaint"	0.0596544
"bank failure"	0.0587445
"computer business"	0.0575789
insolvency	0.0573951
"insurance claim"	0.0570261
decommissioning	0.0567692
"fatal accident"	0.0560427
"crisis situation"	0.0559025
illegals	0.0550867
"Whitewater investigation"	0.0539198
addendum	0.0537714
"Passion play"	0.0537502
megamergers	0.0522868
"abortion issue"	0.0521482
horse-trading	0.0520713
"computing system"	0.0516538
receivership	0.0509526
enlistee	0.0505527
grievance	0.0500191
"fraud charge"	0.049985
liquidation	0.049767
"Export Processing Zones"	0.0497033
"marketing cost"	0.0491362
"legal document"	0.0489898
"tax bracket"	0.0484201
"loan application"	0.0478142
"psychological warfare"	0.0476773
shakeout	0.0473804
"employment contract"	0.0464962
prospectus	0.0464645
delinquency	0.046456
"tax change"	0.0463323
"U.S. Bankruptcy Court"	0.0463204
"Medicare HMOs"	0.0462884
counterclaim	0.0461396
"international flight"	0.0459877
"Manhattan Project"	0.0458817
"subsidiary company"	0.0457667
registrant	0.0457004
"commercial enterprise"	0.0456381
"three schools"	0.0456256
"unfinished business"	0.0454051
"Iraqi POWs"	0.0452539
"trade issue"	0.0447406
"home sale"	0.0446927
"bond trading"	0.0446568
"trading activity"	0.0444546
CAC	0.0444055
"corruption scandal"	0.044393
"dairy cow"	0.044195
nonprofits	0.044014
"consumer credit"	0.0438143
"tax return"	0.0437929
"tourist hotel"	0.043739
multi	0.0435993
holidaymaker	0.0434951
"working day"	0.0434426
"work stoppage"	0.0433189
"proxy statement"	0.0432656
mega-mergers	0.043021
"trust company"	0.0429069
"margin call"	0.0424434
divestiture	0.0423982
"line of business"	0.0422362
"earnings disappointment"	0.0421659
realignments	0.0420648
shake-up	0.0420172
NPLs	0.0419483
"wage earner"	0.0419281
"four million tons"	0.0418356
Tennant	0.0417806
picketers	0.0415762
"hot potato"	0.0415525
"market watcher"	0.0413852
buybacks	0.0413008
"borrowing cost"	0.0411793
"personal business"	0.0410906
homebuilder	0.0410341
"non-performing loans"	0.0410131
machination	0.0409281
"drive-by shooting"	0.0408956
transnationals	0.0407845
PACs	0.0406593
"income tax return"	0.0406493
"American state"	0.0405699
hotspots	0.0405607
"Southern Democrats"	0.0403504
"job cut"	0.0403253
decoding	0.0400888
escrow	0.0400649
))
("bankruptcy filing" (desc 3159.24) (sims
bankruptcy	0.125368
"bankruptcy case"	0.11851
"truck sale"	0.111132
"bankruptcy proceeding"	0.0980885
"home sale"	0.0973188
"borrowing cost"	0.0937946
"housing sale"	0.092424
liquidation	0.0908638
"consumer credit"	0.089248
"bankruptcy protection"	0.0875699
"factory order"	0.0864932
"Producer Price Index"	0.0861233
"reorganization plan"	0.0819771
"accounting problem"	0.0811397
"gas price"	0.0793451
"cancer death"	0.0790231
filing	0.0785985
"mortgage rate"	0.0779701
"work stoppage"	0.0771335
"marketing cost"	0.0749658
ridership	0.0738669
walkout	0.0722603
reorganization	0.0709831
shutdown	0.0708566
"body temperature"	0.0704279
"space walk"	0.070253
"bank rate"	0.0699438
"pretax profit"	0.0689621
"tax return"	0.0684741
"voter turnout"	0.0676213
"futures price"	0.0669689
seizure	0.0664945
"personal income"	0.0657257
delinquency	0.0655114
"name change"	0.06518
"rate rise"	0.0643307
CPI	0.063817
"retail sale"	0.0634901
"fatal accident"	0.0630718
"rate hike"	0.062849
layoff	0.0625459
"producer price"	0.0622817
usage	0.0622017
"labor cost"	0.061443
closings	0.0614328
"trading activity"	0.0609957
joblessness	0.0608855
C-section	0.0608109
homicide	0.0607371
"capital expenditure"	0.060547
"credit system"	0.060359
"market correction"	0.0602652
retrenchment	0.0601887
fatality	0.0600012
"operating cost"	0.0599808
"investment portfolio"	0.0595235
"earning per share"	0.0592923
enrollment	0.0586655
"financial statement"	0.0586191
"vehicle sale"	0.0585969
"net profit"	0.0576239
"steel production"	0.0575326
outage	0.0572964
Caesarean	0.057212
homeownership	0.0571907
restatement	0.0570426
sickout	0.0562013
"job cut"	0.0559418
"initial public offering"	0.0558895
"consumer demand"	0.0557168
outflow	0.0556647
"policy change"	0.0555665
"retail price index"	0.0555569
"consumer price index"	0.0554358
"selling price"	0.0554123
"bond price"	0.05526
giving	0.0552346
cutback	0.0552212
volatility	0.0551873
"rate cut"	0.0551773
"production cost"	0.0550426
downturn	0.0548852
"cost structure"	0.0548797
"bank deposit"	0.0548701
"Opium War"	0.0548544
"insurance premium"	0.0548049
"tax liability"	0.0545405
"cold wave"	0.0542026
"bank failure"	0.0541741
disintegration	0.0541128
"income tax return"	0.0538485
inundation	0.0537466
realignment	0.0536704
inflow	0.0536067
"consumption tax"	0.0535579
"nuclear explosion"	0.0530528
"hostile takeover"	0.0528509
borrowing	0.0528486
"cold spell"	0.0527838
"budget cut"	0.0527198
brownout	0.0524806
"plant closing"	0.0524805
"juvenile delinquency"	0.0524508
"retail price"	0.05223
"management change"	0.0522299
"Field Poll"	0.0521649
"money supply"	0.0521041
outages	0.0520518
booking	0.0518595
"market penetration"	0.0517487
"leveraged buyout"	0.0517198
"price cut"	0.0517104
tie-up	0.0516346
"rate increase"	0.0514649
"tax hike"	0.051358
"birth rate"	0.0513559
"retirement age"	0.0512104
"interest rate increase"	0.0510783
"aircraft order"	0.0509647
"bond offering"	0.0508778
malfunction	0.0507829
"funds rate"	0.05072
"operating expenses"	0.0505693
"coup attempt"	0.0503289
"price pressure"	0.0501987
shakeout	0.0501895
"interest income"	0.0500257
"trade deficit"	0.0499631
"price increase"	0.0498528
scaling	0.049752
"engine failure"	0.049686
"building permit"	0.0496717
meltdown	0.0496653
"legal action"	0.0496592
indices	0.0496342
"management shakeup"	0.0495665
"Dow Jones Industrial Average"	0.0495342
"production problem"	0.0494858
Nikkei	0.0493994
"tax income"	0.049398
"Hurricane Hugo"	0.0492385
"foreign direct investment"	0.0491439
"air travel"	0.0490617
infestation	0.0490166
airstrike	0.0489837
Snowfall	0.0489706
Grounding	0.048927
"arms deal"	0.0488904
outlay	0.0487045
remittance	0.0487002
incarceration	0.0484202
temblor	0.0482532
mutiny	0.0482498
divestitures	0.0482451
"net income"	0.0482396
devaluation	0.0480972
"oil production"	0.0480734
"order book"	0.0480518
"temperature change"	0.0478017
"dog bite"	0.0477811
Demutualization	0.0477688
"cold snap"	0.0477421
"price reduction"	0.047639
"asset value"	0.0475427
postponement	0.0474591
deportation	0.0474163
"insurance business"	0.047353
"Economic and Monetary Union"	0.0473095
"budget deficit"	0.04716
"tax revenue"	0.0471591
downgrading	0.047158
breakup	0.0471433
"tax increase"	0.0470976
"News Corp"	0.0470557
hyperinflation	0.0469133
"crime rate"	0.0468799
eviction	0.0468641
maneuvering	0.046733
poaching	0.0466874
"forest fire"	0.0466709
"preferred shares"	0.0465409
dissolution	0.0465281
sell-off	0.0463615
"key rate"	0.0461627
insolvency	0.0461004
"brain drain"	0.0460853
"fertility rate"	0.0460351
issuance	0.0460178
leakage	0.0459098
"heat wave"	0.0459049
"blood sugar"	0.0458675
"enforcement action"	0.0458595
influx	0.0458171
catastrophe	0.0458116
"cold weather"	0.045789
"high temperature"	0.0457167
eruption	0.0457076
"computer business"	0.045555
"power failure"	0.0454517
divestiture	0.0453839
))
("bankruptcy law" (desc 4344.33) (sims
"Civil Rights Act"	0.15579
"criminal law"	0.155524
"Endangered Species Act"	0.154419
"Criminal Procedure Law"	0.148393
"penal code"	0.139254
"tax system"	0.134807
bylaw	0.13
"organic law"	0.127606
"Clean Air Act"	0.126995
"Chapter @@"	0.123273
"Voting Rights Act"	0.121844
"antitrust law"	0.116927
"abortion law"	0.115756
"Telecommunications Act"	0.109638
"Community Reinvestment Act"	0.108489
"building code"	0.107524
"Clean Water Act"	0.106941
"Helms-Burton Act"	0.105939
Ordinance	0.102865
"pricing system"	0.0991612
Helms-Burton	0.0990981
statute	0.0989891
code	0.0964805
"electoral system"	0.0936838
"internal control"	0.0915966
constitution	0.0887489
"trade policy"	0.0859494
"Disabilities Act"	0.0852337
"legal system"	0.0833422
"safety standard"	0.0809772
zoning	0.080476
"Balanced Budget Act"	0.0804087
"administrative law"	0.0803622
"commercial law"	0.0764437
Ada	0.0756092
"teaching method"	0.075372
"rating system"	0.0722451
Shariah	0.0719306
"social contract"	0.0711537
"code of conduct"	0.0701061
"reorganization plan"	0.0697973
"Maastricht Treaty"	0.0692793
"U.N. Resolution @@@"	0.0682356
"Title IX"	0.0680645
"accounting system"	0.0679685
"North American Free Trade Agreement"	0.067545
"Article @@"	0.0673263
"tax policy"	0.0672685
"First Amendment"	0.0662693
"entitlement program"	0.0660841
"Chapter @"	0.0655914
Sharia	0.0653931
"monetary system"	0.0648658
"Bill of Rights"	0.0646861
"Heavily Indebted Poor Countries"	0.0646038
"voting system"	0.0639211
"Anti-Ballistic Missile Treaty"	0.0638944
"quota system"	0.06345
"distribution system"	0.0633964
"benefit program"	0.0624682
"economic system"	0.0614877
"ABM Treaty"	0.0614195
"point system"	0.0611288
"Basic Law"	0.061106
"tax change"	0.0606614
"labor contract"	0.0604631
"defense policy"	0.0598789
"current system"	0.0597835
"political system"	0.0597676
"banking system"	0.0595854
"legal code"	0.0594099
"Geneva convention"	0.0594021
"security measures"	0.0591986
ERISA	0.058629
"maritime law"	0.0575215
"welfare state"	0.0572642
"property right"	0.0570853
"safety measure"	0.0570622
curricula	0.0569765
bureaucracy	0.0567905
doctrine	0.0565345
"counsel law"	0.0552884
"civil law"	0.055116
"investment climate"	0.0549864
curriculum	0.0542966
"child welfare agency"	0.0542731
"form of government"	0.0541915
covenant	0.0540368
"compromise plan"	0.0535433
taxation	0.0532099
Standards	0.0531059
"market condition"	0.0530339
"patent right"	0.052939
"master plan"	0.0525478
"labor agreement"	0.0524609
ADP	0.0520635
macro-control	0.0520613
"surveillance system"	0.051765
pimpernel	0.0517486
"telephone system"	0.051702
livery	0.0515403
"Fourth Amendment"	0.051316
"Macao Basic Law"	0.0512013
"tax collection"	0.0511799
"U.S. Constitution"	0.0510962
"trade embargo"	0.0506612
"tax incentive"	0.0506032
"Article @"	0.0505985
"economic theory"	0.0504377
"Strategic Petroleum Reserve"	0.0502168
"economic condition"	0.0499703
VFA	0.0499318
"banking industry"	0.049862
"rule of evidence"	0.0494267
directive	0.0493296
Measures	0.0492482
"Action Plan"	0.0491419
"drug czar"	0.0491074
"labor market"	0.0490881
"scoring system"	0.0490404
"Proposition @@@"	0.0487695
"finding of fact"	0.048521
"tax bill"	0.0485122
wording	0.0484605
clause	0.0484209
AMT	0.0480831
"economic policy"	0.0478925
IPR	0.0478077
counterintelligence	0.0476171
"Resolution @@@@"	0.0470972
"trade agreement"	0.047049
"securities market"	0.0468064
Japan-U.S.	0.0467772
"policy change"	0.0466753
"education program"	0.0465078
"drainage system"	0.0464773
monitoring	0.0463826
"international law"	0.0463052
"job market"	0.0462365
"Cox Report"	0.0462053
"credit bureau"	0.0459691
"market reform"	0.0458244
"law of nature"	0.0457417
"tax rate"	0.0456521
IRS	0.0454153
tort	0.0452997
ABM	0.0452962
"ventilation system"	0.0452705
"Proposition @@"	0.0450647
"gun control"	0.0449039
psychiatry	0.044775
near-monopoly	0.0447601
"credit system"	0.0447449
theology	0.0446276
"development plan"	0.0445715
"New Jersey State Police"	0.0442556
"life insurer"	0.0441346
"intelligence operation"	0.0441332
"bankruptcy protection"	0.0440307
"medical practice"	0.0440142
"information system"	0.0440051
"elephant population"	0.0439168
rulebook	0.0438396
Judiciary	0.0438169
"cash crunch"	0.043726
"management style"	0.0436709
"highway system"	0.0436554
"retirement plan"	0.043586
"Resolution @@@"	0.0430913
"production facility"	0.042973
governing	0.0429164
NAFTA	0.0427522
"security interest"	0.0424418
"control system"	0.0421167
"employment contract"	0.0419682
"computer code"	0.0418321
"funds rate"	0.0417953
CDMA	0.0417654
"school system"	0.0416487
conditionalities	0.0415787
CITES	0.0415692
bicentennial	0.0414534
"Ninth Five-Year Plan"	0.0414462
Consul-General	0.0414114
"special education"	0.0413998
Hirst	0.0413947
"Kyoto Protocol"	0.0413861
"Department of Veterans Affairs"	0.0412612
"land reform"	0.041235
"housing market"	0.0411604
"Beijing Declaration"	0.0410927
"life style"	0.0409117
"Proposition @"	0.0408559
"automobile industry"	0.0407771
"computer network"	0.0407099
"transportation system"	0.0406912
"bankruptcy filing"	0.0406702
"first pitcher"	0.0405669
"Health Care Financing Administration"	0.0404751
"money supply"	0.040397
))
("bankruptcy proceeding" (desc 2650.62) (sims
"bankruptcy case"	0.139695
"bankruptcy protection"	0.10484
"proxy fight"	0.099493
"bankruptcy filing"	0.0980885
bankruptcy	0.0928598
"takeover attempt"	0.0870425
"legal proceeding"	0.0821597
"reorganization plan"	0.0760554
reorganization	0.0726604
"fund-raising campaign"	0.0718493
hibernation	0.0708089
"legal action"	0.069803
"libel suit"	0.068155
"fund-raising drive"	0.0667034
"labor dispute"	0.0638315
liquidation	0.0637994
"antitrust case"	0.0631863
"psychological warfare"	0.0619518
"custody battle"	0.0615965
"drug case"	0.0609417
"Opium War"	0.0600951
multi	0.0593987
"enforcement action"	0.0586145
"rehabilitation program"	0.0571421
counterclaim	0.0570309
"military drill"	0.055838
"work stoppage"	0.0548665
"pilot program"	0.0541746
dustup	0.0537972
"price war"	0.0523222
"computer business"	0.0518344
"reading program"	0.0514788
filibuster	0.0512825
"merger talk"	0.0511617
airstrike	0.0505867
counter-offensive	0.0499774
dragnet	0.0494536
slumber	0.048774
"takeover battle"	0.0485488
"Chapter @@"	0.0485205
"Whitewater investigation"	0.0480295
rollovers	0.047788
Reston	0.0474271
"judicial proceeding"	0.0472857
"football season"	0.0471951
"service program"	0.0462304
"crime wave"	0.0460263
"ad blitz"	0.0460069
"Operation Desert Storm"	0.0458933
dormancy	0.0456612
"third millennium"	0.0456413
"bombing run"	0.0454095
intifada	0.0452577
FTAA	0.0450458
"military campaign"	0.0450058
"Long March"	0.0449861
"road show"	0.0447823
"third grade"	0.0446811
airdrop	0.0446481
"hostile takeover"	0.044536
"marketing program"	0.0442782
"youth movement"	0.0442384
"rating system"	0.0441819
sickout	0.0441137
quagmire	0.0440661
two-a-days	0.0439962
"market reform"	0.0439263
"air attack"	0.0432898
"arms race"	0.0429642
"waiting game"	0.0429054
recruiting	0.0428696
repatriation	0.042866
"tender offer"	0.0426578
"point system"	0.0425531
CFCs	0.0423407
"degree program"	0.0423333
"Balkan Wars"	0.0423091
"charge card"	0.0421971
"futures market"	0.0418483
receivership	0.0418329
"medical practice"	0.0417888
phaseout	0.0417102
broadside	0.0416791
"corruption scandal"	0.0415919
retrenchment	0.0415739
"marketing campaign"	0.0413697
"campaign for governor"	0.0413339
Kroll	0.0412438
"incentive program"	0.0412021
rehab	0.0411853
fistfight	0.0411486
"wage scale"	0.0408616
monthlong	0.0407672
putsch	0.0405874
"academic year"	0.0405103
"coup attempt"	0.0404893
rainout	0.0404125
"baseball season"	0.0403889
"Korean War"	0.0403172
"possible action"	0.040239
morass	0.0401932
proceedings	0.0401046
"bomb shelter"	0.0400981
shakeout	0.0400399
buyback	0.0400065
))
("bankruptcy protection" (desc 3991) (sims
"Chapter @@"	0.175622
bankruptcy	0.141716
"up to @.@ percent"	0.106405
"bankruptcy proceeding"	0.10484
receivership	0.0954208
"bankruptcy filing"	0.0875699
reorganization	0.086895
"initial public offering"	0.0805103
mistrial	0.0758164
"U.S. Bankruptcy Court"	0.0751253
rehearing	0.0722396
"bankruptcy case"	0.0720929
arbitration	0.0717268
"Olympic Trials"	0.0674026
"Atlanta Motor Speedway"	0.0668786
liquidation	0.0665418
"child support"	0.064012
"up to @@.@ percent"	0.063473
injunction	0.0622748
"first weekend"	0.0620626
year-on-year	0.0617495
annulment	0.0584899
"LPGA Championship"	0.0573648
asylum	0.0561826
"US District Court"	0.0552986
"reorganization plan"	0.054959
dormancy	0.0549066
"barrels per day"	0.053585
"Maurier Classic"	0.0525858
Post-Intelligencer	0.0514532
"durable goods"	0.0508588
"auction block"	0.0505779
"consumer credit"	0.0497595
"New York City Marathon"	0.0495751
"more than @.@ billion dollars"	0.0490956
"disability benefit"	0.0489443
"bomb shelter"	0.048751
tailspin	0.0482769
"vehicle sale"	0.0482084
"Securities and Exchange Commission"	0.0481598
"Suez Canal"	0.047774
"income tax return"	0.0477563
doldrums	0.0475199
"stepping down"	0.0473087
"truck sale"	0.0472463
"Shanghai Stock Exchange"	0.0472379
"finding of fact"	0.0472378
"trade surplus"	0.047148
Lausanne	0.0471275
hibernation	0.0469721
"claiming race"	0.0466636
YANGON	0.0466217
"summary judgment"	0.0461292
Paralympics	0.0459434
angioplasty	0.0453645
arraignment	0.0453073
"Santa Anita"	0.0444884
"building permit"	0.0443388
coma	0.0442266
reinstatement	0.0442113
"disability payment"	0.0440806
obscurity	0.0440484
"bankruptcy law"	0.0440307
reconsideration	0.0439791
"Gulfstream Park"	0.0439775
"Charlotte Motor Speedway"	0.0439342
"stroke play"	0.043932
"Food and Drug Administration"	0.0437388
remission	0.043471
DL	0.043259
"United Republic of Tanzania"	0.043143
ministership	0.0430561
blinker	0.0428759
"Brunei Darussalam"	0.0426493
"Felix Trinidad"	0.042602
"about @.@@ billion dollars"	0.042481
clemency	0.0423127
"about @.@ billion US dollars"	0.0420386
"Hong Kong Stock Exchange"	0.041983
"Oba Carr"	0.0419469
"Shannon Briggs"	0.0418645
KIEV	0.0418479
certification	0.0417431
"Turkish Republic of Northern Cyprus"	0.0411966
"Longwood Cricket Club"	0.0411757
"consumer price index"	0.041159
"over .@@@"	0.0410996
near-collapse	0.0410876
"about @.@ billion dollars"	0.0410523
Doha	0.0409684
Abkhazia	0.0408643
"space station"	0.0408284
"Nagano Winter Olympics"	0.0408163
"third week"	0.0407308
"security clearance"	0.0407274
Premiership	0.0406678
"more than six years"	0.0405134
"Coptic Christians"	0.0404154
"great year"	0.0403809
"wedding anniversary"	0.0402594
"World Group"	0.0401646
"Nagano Olympics"	0.0400907
Oceania	0.0400748
"over $@@ billion"	0.0400251
))
(Banks (desc 19824.3) (sims
"commercial bank"	0.118241
bank	0.118227
"financial institution"	0.110469
"insurance company"	0.0946348
"futures exchange"	0.0904958
Stocks	0.0875235
insurer	0.0866432
automakers	0.0861888
exporter	0.0858147
Airlines	0.0842263
lender	0.0826275
brokerage	0.0822214
"Russian bank"	0.0800429
"brokerage house"	0.0794964
"insurance firm"	0.0784756
"building society"	0.0775737
"merchant bank"	0.0774903
"Foreign Exchange Rates"	0.0761039
"shipping company"	0.0758049
"finance company"	0.0750849
firm	0.0748175
corporation	0.0744489
"stock exchange"	0.071799
investor	0.0717888
airline	0.0714241
banking	0.0712194
"travel agency"	0.0704838
"car maker"	0.0702606
manufacturer	0.0694228
"brokerage firm"	0.0687585
"central bank"	0.0685925
issuers	0.0682489
Telecom	0.0675474
borrower	0.0675101
Govt	0.0674581
retailer	0.0674503
utility	0.0673745
carmakers	0.0667935
shipbuilder	0.0664086
banker	0.0644769
enterprise	0.0644472
"auto maker"	0.0641002
"industrial enterprise"	0.063862
Aetna	0.0637591
"banking system"	0.0635347
"life insurer"	0.0634501
"financial organization"	0.0632801
"Long-Term Credit Bank"	0.0627824
"electronics company"	0.0627313
broker	0.0624046
drugmakers	0.0623463
trader	0.0615661
multinationals	0.0613844
NTT	0.0612022
businessmen	0.0611607
"blue chip"	0.0610394
"chain store"	0.0610102
"food company"	0.0607986
regulator	0.0606238
"phone company"	0.0606124
"technology issue"	0.0604724
"car manufacturer"	0.060334
employer	0.0602808
steelmaker	0.0602213
consumer	0.0600678
"educational institution"	0.0598855
"power company"	0.059412
"Special Economic Zones"	0.0592674
IMF	0.0590873
chipmakers	0.05903
"stock market"	0.0587744
entrepreneur	0.0586178
"blue-chip stock"	0.0584192
"bond market"	0.058048
consulate	0.0578494
importer	0.0577303
Bourse	0.0576729
"auto manufacturer"	0.0575323
"banking industry"	0.0573174
sales	0.0571032
farmer	0.0571028
refiner	0.0567625
"business leader"	0.0561912
creditor	0.0561839
"mutual fund"	0.0560432
"local government"	0.0558818
provider	0.0557032
branch	0.0552734
"business community"	0.0550464
"bond price"	0.0550178
conglomerate	0.0549504
"credit union"	0.0548894
institution	0.0546434
consortia	0.0540618
maker	0.0540384
Eximbank	0.0538885
"steel company"	0.0538289
"state enterprise"	0.0538211
"pension fund"	0.0533571
developer	0.0532958
operator	0.053238
Jarvis	0.0526426
"auto company"	0.0526398
Ltd	0.0526305
currency	0.0524905
LTCB	0.0523563
HMO	0.0523533
"health maintenance organization"	0.0520203
"UAL Corp."	0.0516411
"trade union"	0.0512472
carrier	0.0512071
Services	0.0510918
thrift	0.0509134
vendor	0.0507692
supplier	0.0507528
SMEs	0.0507285
grower	0.0507212
bondholder	0.050695
depositor	0.0505739
wholesaler	0.050357
"insurance market"	0.0501541
Financials	0.0500404
Networks	0.0500179
university	0.0499269
"retail sale"	0.0498727
Lockheed	0.0498143
dealer	0.0497692
cooperative	0.0497603
"school district"	0.0496887
bottlers	0.0495617
"Merrill Lynch"	0.0494673
"drug maker"	0.04928
Ltd.	0.0491642
BankAmerica	0.0490493
Telecoms	0.0489009
"telephone company"	0.0487379
contractor	0.0487151
FDA	0.0485248
"health care provider"	0.0484893
yen	0.0484741
"real estate developer"	0.0484105
Projects	0.0483401
"federal government"	0.0483174
seller	0.0482519
Industrialist	0.0482331
"chamber of commerce"	0.0481744
subsidiary	0.0481445
tourism	0.0481419
ISPs	0.0480757
"investment fund"	0.0480513
UAL	0.0479644
Workers	0.0479469
IRS	0.047793
WorldCom	0.0477151
corporates	0.0474847
"federal official"	0.047477
merchant	0.0472922
"TV network"	0.0472734
"travel agent"	0.0472069
brewery	0.0470309
"investment house"	0.0469533
"oil producer"	0.0469053
Daewoo	0.0468876
"mining company"	0.0468383
debtor	0.0467243
Measures	0.0467225
Alcoa	0.0467032
"post office"	0.046592
"police department"	0.0465889
TCI	0.0465364
"TV station"	0.0463673
"real estate"	0.0463015
telecommunication	0.0462949
homeowner	0.0462703
carmaker	0.0462566
Richards	0.0462422
"electric company"	0.0461496
"commercial enterprise"	0.046142
"political party"	0.0461034
Exxon	0.0460629
Merrill	0.0460212
Moody's	0.0457717
"joint venture"	0.0456873
"accounting firm"	0.045666
donor	0.0454577
Ramos	0.0453684
Chuan	0.0452098
"market participant"	0.0451907
"trucking company"	0.0451692
"semiconductor maker"	0.0451079
"Eli Lilly"	0.0450642
Sensex	0.0450156
shipper	0.0449416
Evans	0.0448878
Burns	0.0446921
"defense contractor"	0.0446251
Lemieux	0.0445925
"finance minister"	0.0445567
Schwab	0.0445152
user	0.044485
))
(banner (desc 61445.7) (sims
placard	0.203995
flag	0.198893
poster	0.17765
streamer	0.15587
bunting	0.150743
sign	0.133008
"national flag"	0.129643
sticker	0.125619
slogan	0.12235
billboard	0.121515
T-shirt	0.114672
logo	0.112576
ribbon	0.107511
plaque	0.106854
lantern	0.104948
balloon	0.104306
"Confederate flag"	0.0951433
mural	0.0908521
flower	0.090704
leaflet	0.0888226
jersey	0.0873839
umbrella	0.0872758
button	0.0868883
advertisement	0.0821328
wreath	0.0802539
shirt	0.0792051
flier	0.0788026
symbol	0.0786874
statue	0.0786294
AD	0.0773197
scarf	0.076387
emblem	0.0749623
portrait	0.0747463
hat	0.0735177
picture	0.0730247
badge	0.072689
crosse	0.0711348
confetti	0.0705007
photograph	0.0696264
candle	0.0690389
graffiti	0.0686312
"piece of paper"	0.068316
postcard	0.0682573
curtain	0.06773
brochure	0.0676879
crucifix	0.0673267
robe	0.0672113
tent	0.0667541
"teddy bear"	0.0661387
monument	0.0660204
sculpture	0.0657364
wall	0.0650956
insignia	0.0650453
sweatshirt	0.0647114
"license plate"	0.0646159
headline	0.0644859
uniform	0.0642706
"baseball cap"	0.0641365
cross	0.0637425
red	0.0634589
message	0.0626743
trophy	0.0625017
pin	0.0623094
light	0.0622004
painting	0.0620111
sheet	0.061506
scroll	0.0614438
coffin	0.0613234
photo	0.0610286
pamphlet	0.0609529
tree	0.0608225
image	0.0607907
decoration	0.0607593
cloth	0.0607119
card	0.0605342
paraphernalia	0.0604434
stripe	0.0603724
letter	0.0602916
Yellow	0.060222
pennant	0.0601992
box	0.0601294
display	0.060007
lamp	0.0598761
decal	0.0597879
awning	0.0596736
bead	0.0596416
screen	0.0594009
swastika	0.0593954
icon	0.0589428
jacket	0.0589381
tarp	0.0588625
color	0.0587098
marker	0.0583531
chant	0.0582801
bottle	0.0575317
headband	0.0575281
map	0.0574453
chair	0.0571827
"newspaper ad"	0.0569261
label	0.0564598
cap	0.0564279
bouquet	0.0560266
garland	0.0557554
tile	0.0556969
bag	0.0553329
print	0.0550615
dress	0.0550278
costume	0.0550065
supporter	0.0542167
tattoo	0.0541995
sweater	0.0541621
helmet	0.0541479
protester	0.0539465
memorial	0.0537991
inscription	0.053504
stamp	0.0533425
"video screen"	0.0532622
mask	0.0532555
fabric	0.0530114
commercial	0.0529894
"business card"	0.0528809
stationery	0.0525447
artwork	0.0523222
parade	0.0520469
cloak	0.0519309
window	0.0518545
facade	0.0518333
ornament	0.0515009
motto	0.0514341
platform	0.05132
envelope	0.0512868
blanket	0.0512751
cutout	0.0511399
rug	0.0510815
firework	0.0509914
poem	0.0509821
"shopping bag"	0.0509708
page	0.0508685
mirror	0.0506812
Coin	0.0506427
piece	0.0506303
necklace	0.0505632
theme	0.0505405
barricade	0.0501162
towel	0.0500959
object	0.050019
crowd	0.0498267
tablecloth	0.0497818
mascot	0.04972
marcher	0.0493011
apron	0.0492114
"greeting card"	0.0492049
blue	0.0491724
drawing	0.0491453
Casket	0.0490175
memorabilia	0.0487799
doll	0.0485534
demonstrator	0.0485261
memento	0.0484788
tag	0.0484564
purple	0.048449
wing	0.0483586
stone	0.0482043
Orange	0.048203
dragon	0.0481994
arch	0.0481694
bracelet	0.0481367
camera	0.0480196
speech	0.0479378
certificate	0.0478632
canvas	0.0478043
brick	0.0477662
paper	0.0477369
ticket	0.0476372
gown	0.0475123
calendar	0.0474937
auspice	0.047335
scoreboard	0.0472795
Sash	0.047219
puppet	0.0471989
item	0.0471884
handkerchief	0.046975
Clothing	0.0467967
Bible	0.0467849
video	0.0466965
souvenir	0.0466957
disclaimer	0.0466092
principle	0.0466
scaffolding	0.0464803
coat	0.0463388
exhibit	0.0462878
manifesto	0.0462656
dot	0.0460825
artifact	0.0459962
torch	0.0459699
menu	0.0458486
skirt	0.0457152
chandelier	0.0455873
chart	0.045541
ring	0.0454864
))
(banning (desc 13167.8) (sims
prohibition	0.0778077
phaseout	0.0713281
stockpiling	0.0710484
abolition	0.0684241
elimination	0.0683165
confiscation	0.0580952
licensing	0.0550536
suppression	0.0548846
legalization	0.0547668
forfeiture	0.0540085
uncovering	0.0530508
removal	0.0523505
Cessation	0.0514318
revocation	0.0489238
dismantling	0.048453
censorship	0.0484012
disbanding	0.0481512
"tax change"	0.0480883
eradication	0.0475807
closure	0.0475684
curtailment	0.0472718
scrapping	0.0472537
decriminalization	0.0464503
Tightening	0.0453022
disarmament	0.0448462
cancellation	0.0448414
nationalization	0.0444418
Proliferation	0.0436337
loosening	0.0436066
disbandment	0.0425435
monitoring	0.0424927
expulsion	0.0422017
expropriation	0.0417956
lifting	0.0411894
termination	0.0409651
revision	0.0408982
Liberalization	0.0407918
resumption	0.0407089
closings	0.0405706
embargo	0.0405344
clearing	0.0404358
strengthening	0.0403268
calibre	0.0403077
Non-Proliferation	0.0401599
"more than @@@ million"	0.0400673
easing	0.0400026
))
("Banque Nationale" (desc 1030.67) (sims
"Total Fina"	0.247186
Totalfina	0.231428
Olivetti	0.2011
LVMH	0.170168
"Royal Bank"	0.168187
"Phelps Dodge"	0.162876
NiSource	0.15799
"Pacific Century"	0.157693
Litton	0.153657
REPSOL	0.152866
"Bank of Scotland"	0.150702
"Allied Signal"	0.137228
om	0.137142
Icahn	0.13234
Vodafone	0.132109
BSKyB	0.128055
"Cable &AMP; Wireless"	0.123238
"Bausch &AMP; Lomb"	0.120668
Gilead	0.112988
Qwest	0.110935
FPL	0.10907
"Air Canada"	0.107996
ENTERGY	0.104423
"French capital"	0.102115
SDL	0.101732
"Societe Generale"	0.101524
"Deutsche Telekom"	0.100675
Unilever	0.0992797
NatWest	0.0991018
GPU	0.0989871
Alcoa	0.0985707
Generali	0.0966198
XYLAN	0.0965639
Deutsche	0.0939441
Ville	0.0937166
Sion	0.0924398
WorldCom	0.0903782
Daimler	0.0893849
"Vodafone AirTouch"	0.0880369
McKesson	0.0865846
Petrofina	0.0855798
Tenneco	0.0831932
IDT	0.0819002
WELLPOINT	0.0816454
Pfizer	0.0815658
Murdoch	0.0807032
"Fred Meyer"	0.0805383
Gymboree	0.0801439
Mannesmann	0.0799575
Starwood	0.0797108
Milstein	0.0796391
HSBC	0.0795902
COLTEC	0.0792337
"ABN AMRO"	0.0786609
"Nippon Credit"	0.0779444
Arnault	0.0778196
ING	0.077608
Terra	0.0775381
Chris-Craft	0.0771087
VoiceStream	0.0770584
Northpoint	0.0769395
MEA	0.0761284
AMP	0.076034
Echostar	0.07599
BNP	0.075543
BCE	0.0754126
PLDT	0.0749308
"True North"	0.0747399
ani	0.0744369
SunTrust	0.0736877
Dresdner	0.0736045
"Malaysia Airlines"	0.0735272
Cendant	0.0729546
Comcast	0.0728778
Telefonica	0.072274
"Bell Atlantic"	0.0718912
Georgia-Pacific	0.0713091
Viacom	0.0706329
Bernabe	0.0703704
"Sara Lee"	0.0697735
"Hongkong Telecom"	0.0697491
"Bob McNair"	0.0692123
Renault	0.0687568
WPP	0.0687396
Zakopane	0.068469
Vivendi	0.0681009
"National Grid"	0.0673481
TDC	0.0672671
AlliedSignal	0.0667992
TCI	0.0667791
"MCI WorldCom"	0.0667568
"American Home"	0.0665729
Aegon	0.0664712
NTL	0.0664512
"Washington Mutual"	0.0663437
YPF	0.0663287
"Boston Scientific"	0.0662988
KONI	0.066211
Loral	0.0661633
VENATOR	0.0660435
Genzyme	0.0658357
Asarco	0.0655173
Dolan	0.065141
Italia	0.0650676
"ELF AQUITAINE"	0.0650232
Goodrich	0.0647398
SBC	0.064709
BankBoston	0.0642858
MCI	0.0642376
Mediaone	0.0637516
"Singapore Telecom"	0.0635999
Bae	0.0635575
Incyte	0.0632178
"Aetna Inc."	0.0630446
"Telecom Italia"	0.0628326
Piccard	0.062787
"Sharper Image"	0.0627817
AIG	0.062663
SFX	0.0626297
UAL	0.0618003
Sepracor	0.0617971
PBSI	0.0617234
BOC	0.0614221
LIFFE	0.0614216
prentice	0.0611397
"Global Crossing"	0.0609234
Zapata	0.0605318
Paribas	0.0605192
Weyerhaeuser	0.0604287
NY@@@-NY@@@	0.0602648
MBNA	0.060153
Lemieux	0.0598045
ITT	0.0595664
Glaxo	0.0595405
"Robby Gordon"	0.0594918
Asda	0.0594012
NationsBank	0.0592111
"BP Amoco"	0.0587114
Hirschfeld	0.0585881
"Waste Management"	0.0580548
CIRC	0.0579585
"De Beers"	0.0579252
NORTHROP	0.0579116
Broderbund	0.0578473
"Banking Committee"	0.0577872
NTT	0.0577744
WebMD	0.0576001
Bestfoods	0.0573445
"Tribune Co."	0.0571783
ALZA	0.057157
Pairgain	0.0569677
"Deutsche Bank"	0.0568866
Pitney	0.0565549
"USA Networks"	0.0565529
AEK	0.0561545
Lindner	0.0560252
Marketspan	0.0559688
CPF	0.0559127
"France Telecom"	0.0558353
Lockheed	0.0555321
"Y&AMP;R"	0.0553893
Alcatel	0.0552086
"Perez Balladares"	0.055167
WHATSDOING	0.0550353
"KCP&AMP;L"	0.0550068
Priceline	0.0547052
UBS	0.0546642
SPD	0.0544071
SFC	0.0539589
Cablevision	0.0535936
Hesse	0.0534407
"International Paper"	0.0532379
IEC	0.0532035
SGI	0.0531531
GTE	0.0528463
BP	0.0527638
Vitesse	0.0526221
Ameritech	0.0525756
"Ford Motor"	0.0524303
Cooke	0.0523925
Vulcan	0.0523751
Biogen	0.0523671
"Abu Nidal"	0.0522788
Globalstar	0.0522418
Publicis	0.052076
Medtronic	0.0519578
SmithKline	0.0518606
Mobil	0.0517927
"Learning Co."	0.0517575
Barclays	0.0517028
IBRA	0.0514339
Eaux	0.0513139
Vinatieri	0.0511969
CCA	0.0507377
Warner-Lambert	0.0507046
ICI	0.0506899
CCF	0.0505929
"U S West"	0.0505604
Amoco	0.0504458
Glendening	0.0502484
))
(banquet (desc 24439.7) (sims
luncheon	0.218581
dinner	0.185377
reception	0.172825
gala	0.168586
ceremony	0.149335
"cocktail party"	0.12921
breakfast	0.120387
festivity	0.119192
"press conference"	0.117687
concert	0.117026
gathering	0.116614
"dinner party"	0.11402
symposium	0.112893
celebration	0.112154
fund-raiser	0.109412
"news conference"	0.109363
"news briefing"	0.107031
brunch	0.104456
lunch	0.103717
seminar	0.102296
soiree	0.101776
"panel discussion"	0.101557
parade	0.0957915
"tea party"	0.095266
bash	0.093153
lecture	0.0931128
conference	0.091366
meeting	0.0911439
"press briefing"	0.090924
Rally	0.0893568
feast	0.088095
barbecue	0.087283
workshop	0.0865691
picnic	0.0861897
"open house"	0.0858708
festival	0.085188
forum	0.0847337
"theatrical performance"	0.0845747
wedding	0.0841853
buffet	0.0835235
briefing	0.0834753
inauguration	0.0817925
"council meeting"	0.0809749
"wedding ceremony"	0.0785944
"U.N. Millennium Summit"	0.0777598
Exhibition	0.0768602
convention	0.0763618
commemoration	0.0762611
pageant	0.0761617
funeral	0.0760825
"church service"	0.0753965
fundraiser	0.0750776
vigil	0.0750504
session	0.0742561
"National Press Club"	0.074206
supper	0.0736998
fair	0.0733093
"committee meeting"	0.0730541
"wedding reception"	0.0722156
"summit meeting"	0.0720413
"town meeting"	0.0717753
presentation	0.0713079
"board meeting"	0.0709297
reunion	0.0705282
"Democratic National Convention"	0.0701496
Exposition	0.0700331
"art exhibition"	0.0686642
"prayer service"	0.0677049
summit	0.0676806
tasting	0.0674167
cookout	0.0665061
screening	0.0648149
speech	0.0648051
recital	0.0647255
function	0.064339
"International Symposium"	0.0637077
"general assembly"	0.0633899
firework	0.0627182
commencement	0.0625011
meal	0.0621448
"International Congress"	0.0615492
opening	0.0609824
"pep rally"	0.0605933
auction	0.0605447
"rock concert"	0.0605042
rehearsal	0.0603731
Carnival	0.060326
"All-Star Game"	0.0600647
prom	0.0594289
"Republican National Convention"	0.059389
hearing	0.0590826
Roundtable	0.0590103
"International AIDS Conference"	0.0588759
exhibit	0.0588559
premiere	0.058748
extravaganza	0.0586627
unveiling	0.0586167
"religious ceremony"	0.0584493
mass	0.0581075
"afternoon tea"	0.0576686
"jam session"	0.0576267
procession	0.0574382
"prayer meeting"	0.0569158
"group discussion"	0.0567026
"Millennium Summit"	0.0565585
"summer camp"	0.0564713
demonstration	0.0564382
contest	0.0559299
"three-day event"	0.0550154
get-togethers	0.0545441
potluck	0.0536989
plenum	0.053684
preview	0.0536506
"International Conference"	0.0536295
"basketball game"	0.0533776
caucus	0.0527418
"variety show"	0.0525489
reunions	0.052417
fundraisers	0.0519888
rite	0.0519296
Assembly	0.0517206
tribute	0.0514341
memorial	0.0512567
ritual	0.0510746
"get together"	0.0504898
"World Economic Forum"	0.050013
"baseball game"	0.0493572
teleconference	0.0492817
dining	0.0487021
guest	0.0484386
"benefit concert"	0.0482268
burial	0.047996
holiday	0.047943
audition	0.0479009
toast	0.0476752
invitation	0.0474155
weigh-in	0.0471938
"Bob Jones"	0.0470982
"South Summit"	0.046644
graduation	0.0465742
fiesta	0.0464398
two-day	0.0462945
prayer	0.0459706
"National Conference"	0.0457562
occasion	0.0457542
workout	0.0456211
"Olympic Games"	0.0454135
"Bob Jones University"	0.0453259
rodeo	0.0451087
"bar mitzvah"	0.0450234
Grammys	0.0450107
palace	0.0450076
"Grammy Awards"	0.0448354
"social event"	0.0448255
salute	0.0446611
COMDEX	0.0445826
raiser	0.0445616
scrimmage	0.0444808
swearing-in	0.0444209
Telecast	0.0443849
"World Congress"	0.0441785
"Ministerial Meeting"	0.0440785
Entertainment	0.0440252
"ASEAN Ministerial Meeting"	0.0440219
ballroom	0.043809
mini-summit	0.0437796
"Academy Awards"	0.0435099
bonfire	0.0433616
"Asian Games"	0.0429758
Expo	0.0425768
"religious service"	0.0420732
"exhibition game"	0.0420592
"Sundance Film Festival"	0.0420339
residence	0.0418398
"practice session"	0.0413449
dessert	0.0412168
matinee	0.041202
ASEM	0.0411626
"Summer Games"	0.0410545
opener	0.0409719
"conference call"	0.040906
"Asia-Europe Meeting"	0.0408491
"Commonwealth Games"	0.0404956
"Winter Games"	0.0404852
cocktail	0.0403029
doubleheader	0.0402459
"town hall"	0.0400421
"national holiday"	0.0400184
))
(banquette (desc 3486.17) (sims
sofa	0.114473
armchair	0.0915187
upholstery	0.0866307
carpeting	0.0842488
stool	0.0829516
"bucket seat"	0.0795396
couch	0.0793828
"side chair"	0.0769217
"lounge chair"	0.0717792
"telephone booth"	0.0708944
bookshelf	0.0707331
settee	0.0673017
miniskirts	0.0668464
recliner	0.0666721
pillow	0.0664679
rug	0.0660859
"coffee table"	0.0656203
headrest	0.0648715
lamp	0.0644131
headboard	0.0628648
tablecloth	0.0626911
wainscoting	0.0613753
"lighting fixture"	0.0597268
G-string	0.0594783
dresser	0.0591398
bistro	0.0583734
wallpaper	0.0576966
chandelier	0.0575704
staircase	0.0573877
poinsettia	0.0569746
potty	0.0565362
slipper	0.0560289
Ottoman	0.0559785
bustier	0.0556211
"picture window"	0.055042
napkin	0.0545326
"cowboy hat"	0.0543448
Stairway	0.053709
tricolor	0.0535542
tunic	0.0532633
"slide rule"	0.0526231
mattress	0.0522673
"stone wall"	0.0509277
nook	0.0508182
"piece of cloth"	0.050749
choker	0.0506414
"pool table"	0.0503152
miniskirt	0.0502055
pew	0.0499415
capris	0.0498714
pantsuit	0.0497076
dais	0.0495774
Brasserie	0.0493824
headband	0.0492822
"bunk bed"	0.0492682
"dining table"	0.0490827
"lawn chair"	0.0490151
"beam of light"	0.0489718
paneling	0.0489082
mantelpiece	0.0489011
"folding chair"	0.0484404
"musical group"	0.0482249
"golf bag"	0.0476977
sideboard	0.0476261
armoire	0.0474209
alcove	0.0473844
tailgate	0.0471062
seating	0.0470648
Sash	0.0470403
bookcase	0.0466251
suspender	0.0464431
armband	0.0463231
sheath	0.0462958
"sitting room"	0.0461944
halter	0.0461207
"conference table"	0.0456284
"bathroom fixture"	0.0454261
kiosk	0.0454076
"food coloring"	0.0453718
windbreaker	0.0448602
"evening bag"	0.0448209
easel	0.0444882
lampshade	0.0444029
nightspots	0.0434814
"dance floor"	0.0434497
loafer	0.0434004
bunk	0.0432742
eateries	0.0432021
cupboard	0.0431961
"park bench"	0.0431366
"stiletto heel"	0.0428608
grille	0.0426254
shawl	0.0425313
enclosure	0.0425178
"picture frame"	0.0423423
ledge	0.0422585
blackboard	0.0422379
drawers	0.0421868
"watering hole"	0.0421066
wallboard	0.0421044
truss	0.042026
megaplexes	0.041973
wastebasket	0.0418815
flagpole	0.0418504
suede	0.0418232
locution	0.0416184
patio	0.0415683
skylight	0.0414106
"jelly bean"	0.0413265
"love seat"	0.0410655
"Star of David"	0.0410636
webbing	0.0409337
ballroom	0.0408783
cot	0.040846
satchel	0.0407702
countertops	0.0406931
"rest room"	0.0406205
flatware	0.0405294
Thong	0.0404979
"tea house"	0.0403486
fireplace	0.0401124
))
("Banshee Breeze" (desc 2084.76) (sims
Chilukki	0.305955
Surfside	0.230096
"Beautiful Pleasure"	0.203685
Silverbulletday	0.201834
"Excellent Meeting"	0.190724
"River Keen"	0.166177
"Favorite Trick"	0.163237
Behrens	0.158785
"Lemon Drop Kid"	0.158732
Daylami	0.147838
Menifee	0.142786
"Free House"	0.140929
"Silver Charm"	0.137327
"High Yield"	0.132704
Artax	0.129437
"Puerto Madero"	0.128584
Malek	0.124947
Anees	0.122528
"Awesome Again"	0.120499
"Cat Thief"	0.118223
"Desert Hero"	0.117519
"Victory Gallop"	0.116957
"Ecton Park"	0.116721
"Answer Lively"	0.116303
Nicol	0.11526
"Fusaichi Pegasus"	0.112998
"Red Bullet"	0.112054
"Skip Away"	0.110292
"Deon Hemmings"	0.108201
"War Chant"	0.107755
"Worldly Manner"	0.107658
"Real Quiet"	0.105543
"Running Stag"	0.10496
"Prime Timber"	0.104213
"Winning Colors"	0.0988987
Cipollini	0.0981768
"Stephen Got Even"	0.0952942
Aamodt	0.0913082
charismatic	0.0904932
Wondertross	0.0883991
"Ivan Lendl"	0.0882079
"Miguel Indurain"	0.0871919
"Baltimore Colts"	0.0862296
Valhol	0.0857429
filly	0.0851078
Sainz	0.0849898
Sautin	0.0848705
"Old Trieste"	0.0839591
Kelso	0.0800632
gelding	0.080044
Longo	0.0789286
Budroyale	0.0788203
Biffle	0.0780603
"quarter horse"	0.0777834
colt	0.0776916
Klim	0.0770444
"Fu Mingxia"	0.0767276
Kjus	0.0762709
"A.P Indy"	0.0757805
Adonis	0.0757364
"Alexei Nemov"	0.0754853
Devers	0.0754107
Kafelnikov	0.0748392
"Australian Mark Philippoussis"	0.0745194
"Cash Run"	0.0745144
"Koji Ito"	0.074109
Mantilla	0.0735296
Cornhusker	0.0732314
"Lasse Kjus"	0.0731866
thoroughbred	0.0731298
Coetzer	0.073014
"American Chanda Rubin"	0.0730042
mare	0.0725425
aptitude	0.0721917
Bruguera	0.0717013
Makinen	0.0704885
"Patty Schnyder"	0.0704387
"Maria Mutola"	0.0702291
Sanchez-Vicario	0.0698578
Gremio	0.0694229
vicar	0.0692467
"Bobby Rahal"	0.0691893
"Arnaud Di Pasquale"	0.0690812
Ertl	0.0690143
"Grant Hackett"	0.0688569
Zanardi	0.0687396
Stoltenberg	0.0686841
"American Pete Sampras"	0.0685374
"Chicago Fire"	0.0682859
"Annika Sorenstam"	0.0682276
"Tian Liang"	0.0681379
Hentgen	0.0679946
"Sergi Bruguera"	0.0675166
Capel	0.0673476
Halard-Decugis	0.0673422
"Pat Day"	0.0673408
"Corey Nakatani"	0.0673163
Flanders	0.0671722
Pantani	0.0665815
Jansher	0.0665078
"Guo Jingjing"	0.0664645
Ferreira	0.0658247
"Seattle Slew"	0.0658045
Luyendyk	0.0656866
Popov	0.065416
"Larry Nelson"	0.0653519
"Juan Montoya"	0.0652013
Canadiens	0.0650218
"Fatuma Roba"	0.0650208
Ottey	0.0649328
Kuerten	0.0649167
"Maria Butyrskaya"	0.0647578
"two pitchers"	0.064692
"Ge Fei"	0.0646542
Corretja	0.0643669
"Buster Douglas"	0.0640599
Hakkinen	0.0639952
"Dong Jiong"	0.0639219
Tanui	0.0638283
"Gong Zhichao"	0.0638233
"Bjarne Riis"	0.0638088
Hendrawan	0.0637433
"Red Star"	0.0636468
Faldo	0.0634865
"Rodney Eyles"	0.0633299
Heyns	0.0630367
Godina	0.0629567
Hornaday	0.0628565
"Marco Pantani"	0.0624949
Trippi	0.0623415
Testud	0.0620983
Eliza	0.0617956
Arazi	0.0617949
"break of serve"	0.0617832
"Christine Arron"	0.0617135
Szabo	0.0616765
Krayzelburg	0.0616683
"Van Roost"	0.0614938
Edberg	0.0614927
"Touch Gold"	0.0610397
Meissnitzer	0.061004
"Albert Portas"	0.0609363
Vasser	0.0609213
"Penny Heyns"	0.0608715
Toluca	0.0608397
gopher	0.0605604
"Poul-Erik Hoyer-Larsen"	0.0603941
"Jenny Chuasiriporn"	0.0603507
"Renzo Furlan"	0.0601831
"Shanghai Shenhua"	0.0601538
trotter	0.0601121
"Garry Kasparov"	0.060034
"Hale Irwin"	0.0599884
Lehigh	0.0598959
Enqvist	0.0598315
"Forest Camp"	0.0597376
Zabel	0.0596555
Berasategui	0.05955
"Andres Gomez"	0.0594817
"Seibu Lions"	0.0594416
"Alexandra Meissnitzer"	0.0593885
Croatians	0.0593579
Ferdinand	0.0592996
"first pitcher"	0.0592133
Kwan	0.0591635
"CHARLOTTE STING"	0.0590973
"Paul Tergat"	0.0588668
"Wang Nan"	0.0587716
Bayern	0.0587288
"Alberto Tomba"	0.0587182
Hearns	0.0586902
Majoli	0.0586798
"Wang Liqin"	0.0586075
Razorback	0.0584627
"Arie Luyendyk"	0.0584525
"Tatiana Panova"	0.0581974
lumberjack	0.058167
Moya	0.0581268
"Detroit Red Wings"	0.0580737
"Alexei Yagudin"	0.0580718
"Sanchez Vicario"	0.0579829
"Asa Carlsson"	0.0579054
"Susie O'Neill"	0.0577933
"Li Xuemei"	0.0577654
"Arantxa Sanchez Vicario"	0.0577467
Hoogenband	0.0576953
"Tom Steels"	0.0576658
"Jean-Philippe Gatien"	0.0575244
"Maple Leafs"	0.057482
Clavet	0.0574543
gentlemen	0.0574302
Ullrich	0.0574034
Huber	0.0573601
Brondby	0.0573592
Zuelle	0.057249
Ivanisevic	0.0571507
Atler	0.0571208
"Frankie Fredericks"	0.0570801
"Scotty Bowman"	0.0569446
"Johan Museeuw"	0.0568968
))
(Bantam (desc 3905.44) (sims
"Warner Books"	0.14273
F-H	0.141101
"Pocket Books"	0.129856
Doubleday	0.116673
scholastic	0.11474
F-P	0.110928
Ballantine	0.109331
"Chronicle Books"	0.105454
"Henry Holt"	0.105289
Knopf	0.0985533
HarperCollins	0.0961405
"Farrar, Straus &AMP; Giroux"	0.0906489
"Random House"	0.090499
"Broadway Books"	0.0904843
Algonquin	0.089379
"Simon &AMP; Schuster"	0.0888402
Hyperion	0.0873995
Scribner	0.0857246
"W.W Norton"	0.0843439
"Oxford University Press"	0.0823946
Delacorte	0.0789805
Schuster	0.0779149
MacMillan	0.0765337
Putnam	0.0751857
"Houghton Mifflin"	0.0712479
Morrow	0.0691195
"Basic Books"	0.0686261
paperback	0.0669213
Abrams	0.0664664
workman	0.0662322
Avon	0.0655397
Berkley	0.0622483
"Free Press"	0.0620226
Dutton	0.0614464
Wiley	0.0592773
"St. Martin"	0.0578715
"Modern Library"	0.0564138
McGraw-Hill	0.0534331
Riverhead	0.0511033
"William Morrow"	0.0498901
Farrar	0.049687
Norton	0.0493709
"Satanic Verses"	0.0440976
PAX	0.0435268
"Electronic Arts"	0.0431616
claimer	0.0406392
))
(bantamweight (desc 4116.76) (sims
flyweight	0.446399
featherweight	0.409696
"light heavyweight"	0.348624
"junior lightweight"	0.343359
welterweight	0.340134
"junior welterweight"	0.32932
cruiserweight	0.292775
"junior middleweight"	0.251143
middleweight	0.236148
"World Boxing Association"	0.224469
"World Boxing Council"	0.198245
WBA	0.173932
titleholder	0.161233
lightweight	0.160504
WBC	0.154555
"International Boxing Federation"	0.149016
WBO	0.144664
"Johnny Tapia"	0.130264
"Funny Car"	0.125969
"Kostya Tszyu"	0.113523
"U.S. Amateur"	0.112251
"Paulie Ayala"	0.110624
"United States Open"	0.108108
"Fed Cup"	0.105577
"NFC East"	0.105219
"Erik Morales"	0.102844
"Top Fuel"	0.101994
IBF	0.0988082
EuroLeague	0.098457
"League Cup"	0.0983557
"David Reid"	0.0973507
Lipton	0.0959598
"AL Central"	0.0955549
fide	0.0919753
heavyweight	0.0884531
"American League West"	0.0883926
"European Cup"	0.0878714
pentathlon	0.0877085
three-meter	0.0876499
"Japan Open"	0.0860881
under-@@	0.0860135
"shot put"	0.0860085
"AFC West"	0.0856012
epee	0.0855214
"Little League World Series"	0.0850231
"Italian Cup"	0.0835519
"Sudirman Cup"	0.0835193
steeplechase	0.0834257
"US Open"	0.0831964
"F.A Cup"	0.082873
"NL East"	0.0823589
Holyfield-Lewis	0.0823447
"European Champions Cup"	0.0813093
"Thomas Cup"	0.0807195
"Cup Winners Cup"	0.0798002
CONCACAF	0.0791996
WCC	0.0785814
"Atlanta Olympic"	0.0779397
"MLS Cup"	0.0773047
"Uber Cup"	0.0765363
"Copa America"	0.076326
"Federation Cup"	0.0762789
Maurier	0.0757118
"Pan Pacific"	0.0756956
"Canadian Open"	0.0755455
"FA Cup"	0.0753315
"NL Central"	0.0747943
"Atlantic Division"	0.0730515
"NL West"	0.0729434
weightlifting	0.0723619
"Champions Cup"	0.0714372
"first cup"	0.0713058
"Italian League"	0.0710515
"Central Division"	0.0707642
"Southwest Conference"	0.0706325
"SEC East"	0.0702476
"National League West"	0.0687231
"Big Sky Conference"	0.068619
"AFC Central"	0.0684824
"Midwest Regional"	0.0681516
"Big West"	0.0678678
"figure skating"	0.0670224
"UEFA Cup"	0.0669717
"AL East"	0.0667953
judo	0.0667032
"Australian Open"	0.0666918
"Hopman Cup"	0.0665003
"National League Central"	0.0664384
constructor	0.0660714
"Hong Kong Open"	0.0658591
snooker	0.0657579
"West Regional"	0.0657069
"Kremlin Cup"	0.0651677
"Lennox Lewis"	0.0646822
"Italian Open"	0.0646065
decathlon	0.0644105
"World League"	0.0640081
"Pacific Division"	0.0635228
"hammer throw"	0.0633993
backstroke	0.0633198
skeet	0.0631577
Super-G	0.0631144
"Conference USA"	0.0630819
"won six"	0.0629324
"Division @"	0.0628586
badminton	0.0625577
"National Invitation Tournament"	0.0624853
"South Regional"	0.0623422
"AFC East"	0.0621666
hardcourt	0.0621276
"Eastern Division"	0.0617137
"NFC West"	0.061712
"World Championship"	0.0615492
"Stanley Cup"	0.0612583
"NFC Central"	0.0607607
CWS	0.0605847
breaststroke	0.0602238
Pacific-@@	0.0601314
ATP	0.0600052
scull	0.0597882
"Legg Mason"	0.0590249
"AL West"	0.058864
"Gold Cup"	0.0587031
"French Open"	0.0584725
"Busch Grand National"	0.0584544
"won three"	0.058334
"high jump"	0.0579689
"African Nations Cup"	0.0576312
"ice hockey"	0.0573841
"Ivy League"	0.0573116
"pole vault"	0.0572126
"ATP Tour"	0.0572105
"Davis Cup World Group"	0.0570661
nit	0.0569321
"Libertadores Cup"	0.0568605
"U.S. Senior Open"	0.056754
"Indy Racing League"	0.0567323
"Swiss Open"	0.0562789
"NASCAR Winston Cup"	0.0557989
javelin	0.0555999
"won two"	0.0555011
"won one"	0.0552536
Bundesliga	0.054847
sumo	0.0544845
"Fernando Vargas"	0.054365
Ibo	0.0541279
"won eight"	0.0540524
WTA	0.0540248
Heptathlon	0.0537294
four-time	0.0532522
"field hockey"	0.0527372
"Julio Cesar Chavez"	0.0526488
bodybuilding	0.0525792
"Hamlet Cup"	0.0524361
best-of-@	0.0522579
"College World Series"	0.0520178
"cross country"	0.0519529
springboard	0.051503
"Western Open"	0.0513328
"Oscar De La Hoya"	0.0507783
dressage	0.0505185
"Roy Jones Jr."	0.0504256
"won seven"	0.0502499
"Western Conference"	0.050083
chess	0.0500008
"table tennis"	0.0499253
"Ike Quartey"	0.0499064
six-time	0.0497226
GP	0.0496519
"Asian Cup"	0.0496476
"Dunhill Cup"	0.0495201
"long jump"	0.0494696
"first tour"	0.0491504
"won five"	0.0490616
"Big Sky"	0.0489948
"Eastern Conference"	0.0489173
volleyball	0.0488859
"Pan Ams"	0.0485227
"World Basketball Championship"	0.0484933
"Grand Slam Cup"	0.0484245
medley	0.0484114
slalom	0.048333
"water polo"	0.0483044
"won nine"	0.0482925
taekwondo	0.0480827
WAC	0.0479531
"John Godina"	0.0479467
freestyle	0.0479021
"National Collegiate Athletic Association"	0.0477909
"Western Athletic Conference"	0.0475224
PBA	0.0475013
"Love Bug"	0.0474901
"won four"	0.0473143
"Champions League"	0.0471312
ACC	0.047109
"Shane Mosley"	0.0469506
"National League East"	0.0469226
NHRA	0.0469115
Moorer	0.0467686
"Jansher Khan"	0.046597
))
(banter (desc 11223.3) (sims
repartee	0.0884005
conversation	0.086104
chitchat	0.0826423
joke	0.0814205
chatter	0.0813706
humor	0.0805297
"small talk"	0.0797849
horseplay	0.0797675
ribbing	0.0782778
"sight gag"	0.0770477
jibe	0.075075
one-liner	0.0739334
antic	0.0731302
give-and-take	0.0706747
rapport	0.0657727
silliness	0.0644675
hijinks	0.0635469
camaraderie	0.0634838
demeanor	0.0633042
schtick	0.0613669
bickering	0.060739
romp	0.0606437
patter	0.0601525
asides	0.0599814
fistfight	0.0597127
double-entendres	0.0596671
vulgarity	0.0590996
in-jokes	0.0576894
gamesmanship	0.0562704
shtick	0.0555962
sendup	0.0549988
back-and-forth	0.0547547
gossip	0.0538956
wisecrack	0.0536206
tirade	0.0535513
"sexual activity"	0.0535384
quip	0.0534336
hyperbole	0.053379
gag	0.0533026
vitriol	0.0529604
profanity	0.0523535
sparring	0.0517972
gibe	0.0517788
anecdote	0.0517487
tone	0.0517011
rhetoric	0.0512312
pun	0.0509237
jab	0.0508125
prank	0.0507958
skit	0.0505733
innuendo	0.0505163
altercation	0.050359
commentary	0.0501596
wit	0.0499145
bravado	0.0498825
blather	0.0497321
heckling	0.0495935
lyric	0.0492628
satire	0.0491704
Chemistry	0.0491246
theatrics	0.048867
charm	0.0486481
high-fives	0.0483701
nonsense	0.047956
rant	0.047774
chuckle	0.0476196
interaction	0.0475913
sidekick	0.0475401
"punch line"	0.047149
nudity	0.0468256
dalliance	0.0466179
soundbites	0.046509
handshake	0.0464294
laughter	0.0462269
interplay	0.045599
musings	0.0454664
"inferiority complex"	0.045446
persona	0.0453663
farce	0.0452672
titillation	0.045107
verbiage	0.0450431
choreography	0.0449141
bile	0.0447615
candor	0.0442928
sarcasm	0.0442508
cliche	0.0439799
rumination	0.0437151
"stump speech"	0.0435976
monologue	0.0433534
irony	0.0429468
conjecture	0.0428128
posturing	0.0427947
rhyme	0.0426464
"sense of humor"	0.042619
parody	0.0426122
clowning	0.0421551
spectacle	0.0420971
aphorism	0.0417903
soul-searching	0.0416632
"sex act"	0.0414691
finger-pointing	0.041257
miscommunication	0.0412065
intimacy	0.0411701
gunplay	0.0411639
pleasantry	0.0411377
spat	0.0411184
stereotype	0.0409734
platitude	0.0406818
swagger	0.0403675
sophistication	0.0401595
trash-talking	0.0400602
))
(Banyamulenge (desc 1662.22) (sims
Interahamwe	0.227808
Hutu	0.18856
SPLA	0.168267
Tutsi	0.161651
Abkhazian	0.145126
LRA	0.143221
Zairian	0.134845
Zapatista	0.132189
"Resistance Army"	0.132144
RUF	0.131008
"Polisario Front"	0.126798
Taleban	0.124923
"Tupac Amaru Revolutionary Movement"	0.121518
Uzbek	0.12055
"Afghan Taliban"	0.120503
Ijaw	0.120066
ragtag	0.119229
"Shiite Muslim"	0.117282
MRTA	0.113716
Hutus	0.113548
ninja	0.111966
ADF	0.111228
Chechen	0.107984
Hmong	0.106509
"Zapatista National Liberation Army"	0.105695
MNLF	0.105441
"Yugoslav Army"	0.10276
Burundian	0.0994594
Congolese	0.0992004
Timorese	0.099142
Kashmiri	0.0989774
Sandinista	0.0969733
"South Vietnamese"	0.096944
"Red Army"	0.0961508
WNBF	0.0956062
Tajik	0.0942875
"Sudan People's Liberation Army"	0.0938478
"Kosovo Albanian"	0.0935043
Kurdish	0.092801
INTERFET	0.0927199
RRA	0.0916111
Druse	0.0900298
"South Lebanese Army"	0.0895165
Moro	0.089502
"New Democrats"	0.0889979
LTTE	0.088724
Kony	0.0884918
basij	0.0882303
"regular army"	0.0879271
"Allied Democratic Forces"	0.0874944
Zairean	0.0864933
NPA	0.086215
"Sierra Leonean"	0.0859827
Tutsis	0.0856626
"Liberation Army"	0.0856169
UNITA	0.0855423
"Lebanese Hezbollah"	0.0855098
"Revolutionary United Front"	0.0847087
"Bosnian Muslim"	0.0840359
Maasai	0.0838637
KLA	0.08376
Kurd	0.0834877
"East Timorese"	0.082978
Rwandese	0.0828474
"Moro Islamic Liberation Front"	0.0827847
Contra	0.081954
"Khmer Rouge"	0.081767
SLA	0.0815857
mujahedeen	0.0812671
Sudanese	0.08062
RCD	0.0799556
"Rwandan Patriotic Front"	0.0796029
FARC	0.0795369
"Tamil Eelam"	0.0794411
KNU	0.0782027
PKK	0.0779994
UPDF	0.0767722
Amal	0.0766463
"Israel Defense Forces"	0.0765269
Gurkha	0.0757587
"Kosovo Liberation Army"	0.0757145
"Uganda People's Defense Forces"	0.0756476
Thirty-four	0.0750639
Marehan	0.0745597
"South Lebanon Army"	0.074017
"Russian Interior Ministry"	0.0733931
Shiite	0.0733653
infantry	0.0733605
Bedouin	0.073144
Renamo	0.0727608
"up to @,@@@"	0.0723566
tomcat	0.0720003
UNIFIL	0.0717138
MILF	0.0716461
secessionist	0.0714987
Zapatistas	0.0711505
"Ethnic Albanian"	0.0709084
Islamist	0.0708255
Ibo	0.0696466
"Lord's Resistance Army"	0.0693952
Arab-American	0.0691258
"Moro National Liberation Front"	0.0690303
"Bosnian Croat"	0.0683349
"Sri Lankan"	0.0682503
Karen	0.0673096
Kosovar	0.0668436
ELN	0.0667921
Fulani	0.0665593
Iroquois	0.0660587
"up to @@@,@@@"	0.0657865
Chinese-Indonesians	0.0653639
"Asian American"	0.0650406
Hausa	0.0649821
NDF	0.064879
"Infantry Battalion"	0.0646591
"Albanian Kosovo Liberation Army"	0.0642572
Mig	0.0642067
"U.N. Interim Force in Lebanon"	0.0639839
Yoruba	0.0637354
Kamajors	0.0632194
"Albanian Kosovars"	0.0631631
Macedonian	0.0629452
Maoist	0.0618671
Masood	0.0617799
Bougainville	0.0617152
"Another @,@@@"	0.0615621
"Shas Party"	0.0615051
"North Korean"	0.0612712
"National Union for Total Independence"	0.0609193
"Reagan Democrats"	0.0608004
"Republican Guard"	0.0606282
Botswanan	0.0605811
"North Vietnamese"	0.0605087
guerilla	0.0601287
Sikh	0.0599586
"Liberation Tigers of Tamil Eelam"	0.0594994
"New People's Army"	0.0592933
"Patriotic Union of Kurdistan"	0.059194
"Kosovar Albanian"	0.0591568
"National Union"	0.0591042
Eritrean	0.0588415
down-and-out	0.0587377
Japanese-American	0.0583968
Gendarme	0.0583727
fundamentalist	0.0582105
SU-@@	0.0581657
MiG-@@	0.057992
"Stabilization Force"	0.0577753
EX-COMMUNISTS	0.0574028
Sioux	0.0573203
"Real IRA"	0.0570461
Senegalese	0.0568666
EPR	0.0568497
conscript	0.0567346
BASQUE	0.0564622
"Two hundred"	0.0563416
Camerounian	0.0562738
Forty-four	0.0561355
Ingush	0.0561185
mutineer	0.0559406
"over @@@,@@@"	0.0558997
"less than @@,@@@"	0.0558668
"Abu Sayyaf"	0.0557714
"army tank"	0.0554176
"Canadian Alliance"	0.0550687
nonwhite	0.0550295
mercenary	0.0547908
"more than one million"	0.0544855
"Liberation Tigers"	0.0543919
Thirty-three	0.0543428
"nearly @ million"	0.0540525
KDP	0.054009
ETA	0.0539613
royalist	0.053893
encirclement	0.0538884
"parliamentary democracy"	0.0538725
PUK	0.0537536
F-@	0.0536068
KFOR	0.0535527
Miao	0.0535045
Kurds	0.053446
stealth	0.0531702
gendarmerie	0.0530954
Germanic	0.0528344
"Orthodox Jewish"	0.0524152
OPM	0.0522489
TNI	0.0520536
"Bizima Karaha"	0.0519782
"Islamic Movement"	0.0518922
paratrooper	0.0518595
SFOR	0.0514688
"North Africans"	0.0509089
Makah	0.0506625
"National Guard"	0.0506589
"Iraqi National Congress"	0.050529
Armenians	0.0505179
"American Jewish"	0.0503306
"National Democratic Front"	0.0501972
SANDF	0.0501452
gunship	0.0499991
))
(Banzer (desc 706.97) (sims
Ruehe	0.158476
Guterres	0.142618
Dodik	0.131404
Aleman	0.131113
Klestil	0.129289
Diouf	0.127165
Juppe	0.124886
Moratinos	0.124287
Granic	0.12347
Shevardnadze	0.120658
Carollo	0.120647
Azad	0.117926
Kostov	0.117194
Bruton	0.117066
Kabariti	0.115795
Arens	0.114398
Scalfaro	0.114299
"William S. Cohen"	0.114049
Pustovoitenko	0.113639
Lipponen	0.112844
Zeroual	0.112076
Majali	0.111052
Komura	0.11094
Azizah	0.110171
Bouteflika	0.109604
Scharping	0.109521
Menem	0.109091
Rakhmonov	0.108065
Cavallo	0.108055
Aliev	0.107884
Constantinescu	0.10742
Ciampi	0.107293
Rau	0.106807
Shamshad	0.106385
Bedie	0.106339
Patasse	0.105345
Majko	0.104711
Jayakumar	0.104314
Sampaio	0.104021
Jelisic	0.103981
Tarawneh	0.103968
Simitis	0.103825
al-Sahaf	0.103335
Rodionov	0.103305
Noriega	0.10313
Alarcon	0.103026
Bondevik	0.102431
Alatas	0.102378
Lukashenko	0.102263
Rossello	0.101806
Mahuad	0.101798
Grasso	0.101385
Cardoso	0.100602
Deuba	0.100198
Waigel	0.0997596
"Pascoal Mocumbi"	0.0996901
Kumaratunga	0.0996328
Meguid	0.0994788
Esser	0.099315
Shara	0.0992669
Dini	0.0991535
Kwasniewski	0.0990421
Kuchma	0.099042
Erbakan	0.0987082
Kurth	0.0966877
Abdel-Meguid	0.096516
Kok	0.0960723
Holl	0.095853
SJC	0.0956115
"Prime Minister Banharn Silpa-Archa"	0.095587
Museveni	0.0950652
Clerides	0.0945059
Iliescu	0.0942662
Pickering	0.0941828
Nazarbayev	0.0940351
Buzek	0.0937005
"Chief Executive Tung Chee-hwa"	0.0932367
Cubas	0.0927668
Westendorp	0.0926692
Benazir	0.0924586
Rabbani	0.0923692
Rong	0.0920659
"Perez Balladares"	0.0919671
Difrancesco	0.0918492
Menchu	0.0917673
Nano	0.0912968
Lissouba	0.0910338
Mkapa	0.0908719
Hybl	0.0907804
Sahnoun	0.0905624
Malan	0.09056
"Israeli Cabinet"	0.0905145
Fabius	0.0903293
Ruthardt	0.0902931
Maskhadov	0.0897286
Meciar	0.0896851
Banharn	0.0896271
"Jerzy Buzek"	0.089625
Salazar	0.0892327
Rasmussen	0.0890121
Bucaram	0.08884
Plavsic	0.0888392
Gowda	0.0887439
Maslyukov	0.0887392
"Dos Santos"	0.0885482
Zuma	0.0884051
Orban	0.0880974
Masire	0.0880888
Kasoulides	0.0880152
Djukanovic	0.0871723
Bulatovic	0.0870771
Chissano	0.0868712
Jovanovic	0.0866409
Chiluba	0.0863698
Bashir	0.0863252
Katsav	0.0861462
Phieu	0.086077
Indyk	0.0860339
HCFA	0.0858046
Pangalos	0.0857838
Buyoya	0.0854905
Lockyer	0.0854448
Zedillo	0.0853454
Ahern	0.0852135
Meissner	0.0852052
Isaias	0.0851426
Hallinan	0.0849443
"de Charette"	0.084774
Villanueva	0.0847275
Velayati	0.084675
Kuhn	0.0843246
"Binyamin Netanyahu"	0.0843028
Ikeda	0.0840279
Xiong	0.0839416
Rankin	0.0839367
Aznar	0.0836654
Juncker	0.0835941
Abubakar	0.0834347
Ganzouri	0.0831538
Kono	0.0831204
Ohlmeyer	0.0830514
Baz	0.0829459
Rawabdeh	0.0829311
Bolger	0.082871
Bochy	0.0827724
Musharraf	0.0823812
Leghari	0.0823608
Kulikov	0.0821218
Kan	0.0819425
Vollebaek	0.0816171
Dehaene	0.0816124
"Fidel Castro"	0.0813736
Sharaa	0.0812237
Ikimi	0.0810244
Shareh	0.0809626
Milo	0.0808748
"Emperor Akihito"	0.080873
Hariri	0.080861
Rylander	0.0803472
Kyprianou	0.080254
Sergeyev	0.0802039
Papandreou	0.0801382
Hodler	0.080021
Rua	0.0797668
Cem	0.0795116
Manley	0.0794937
Gosper	0.0794097
Schuessel	0.0793697
Luong	0.0793036
Khai	0.0792584
Mowlam	0.0792388
Schroder	0.0791991
Luzhkov	0.0790231
"Lokendra Bahadur Chand"	0.0790074
Bhutto	0.0790062
Insulza	0.078929
al-Hariri	0.0789285
al-Nahyan	0.0788272
Mucha	0.0786867
Meles	0.0784144
Shahak	0.0783923
Mugabe	0.0783056
Amato	0.0782603
Yadav	0.0782537
Berlusconi	0.0780776
Brundtland	0.0780342
Cianci	0.0779926
Krstic	0.0778055
ANGELOS	0.0778052
Nebiolo	0.0776537
Demaci	0.0776387
Ecevit	0.0776231
Stoyanov	0.077491
Blatter	0.0773969
Pastrana	0.0773464
Wahid	0.0772658
Yastrzhembsky	0.0772639
Izetbegovic	0.077132
"President Kim Young-sam"	0.0769116
Bouchard	0.0769023
))
(Bao (desc 2389.35) (sims
Jing	0.144827
Tsang	0.136168
guo	0.123442
Postol	0.11864
Jia	0.114429
Kasoulides	0.113735
Lai	0.112468
Singson	0.111455
Cui	0.110491
Leung	0.110175
Sheng	0.109901
Tian	0.109368
Zou	0.109129
Zhao	0.107282
Velayati	0.106051
Shi	0.104955
Zeng	0.103869
Boueiz	0.103313
Qin	0.102871
Cheung	0.101973
Greenwald	0.101356
Nzo	0.100842
Flanagan	0.100526
Feng	0.10052
Ruehe	0.0980984
Sha	0.0977769
Dai	0.097618
Cheng	0.0968406
Yao	0.0967588
Luo	0.0964502
Zheng	0.0963868
Nikitin	0.0955679
Wei	0.0955133
Massey	0.0943923
Cao	0.0941844
Wan	0.0941591
Bulatovic	0.0936446
Ruggiero	0.0935264
Buthelezi	0.0933699
Lari	0.0932674
Sumaye	0.0931009
Malu	0.0926722
Akbar	0.0925563
Xin	0.0924085
Xiao	0.0923567
Yastrzhembsky	0.0923365
Ren	0.0920422
Fung	0.0915245
Wong	0.0913679
Yang	0.0912264
Patten	0.0906928
Siazon	0.0905888
Zhou	0.0902729
Hamdoon	0.0892641
Hauser	0.0891063
Ghali	0.0890891
Zhang	0.0888352
Alatas	0.0883541
Lamberth	0.088169
Kan	0.0881439
Lau	0.0875672
Zarb	0.0874583
Posner	0.0871916
Alarcon	0.0870512
Severino	0.0866746
Hua	0.0866435
Lim	0.0862852
Levitt	0.0855485
Wang	0.0851766
Liu	0.0851506
Lin	0.0846462
Rodionov	0.0845513
Ikimi	0.0842363
Huang	0.0842182
Wolfson	0.0841611
wen	0.0841515
Jayakumar	0.0840813
Xiang	0.0830839
Seligman	0.0828747
Leghari	0.0828674
Hao	0.0824256
Maharaj	0.0824056
Chan	0.0823769
Khalil	0.0822477
Nasrallah	0.0820701
Ratner	0.0819578
Hui	0.0807968
Rossotti	0.0807325
Hahn	0.0804971
Ng	0.0804506
Harmoko	0.0802298
Zuma	0.0799568
Yazdi	0.0794546
Ashrawi	0.0792969
Husseini	0.0790351
Wu	0.0789897
xu	0.0785243
Tong	0.0782564
Blatter	0.0782029
Goff	0.0780821
Tung	0.0778655
Juma	0.0777823
Rong	0.0777261
Akayev	0.077723
"de Charette"	0.0775979
Wolfensohn	0.077588
McGuinness	0.0772765
Grasso	0.077244
Verney	0.0772027
Eizenstat	0.077126
Yu	0.0768604
"Lee Hsien Loong"	0.0768338
Cullen	0.0767539
Goh	0.076401
Li	0.0759577
Ma	0.0759465
Chen	0.0759277
Jin	0.0758946
Conroy	0.0758361
Chung	0.075816
Khai	0.0755977
Lazarenko	0.0753883
Jovanovic	0.0753145
Farber	0.0752692
Salim	0.075131
Brittan	0.0749063
dang	0.0744292
"Beijing Guo"	0.0737873
Gerstner	0.0737567
Sharansky	0.0737095
tan	0.0733636
Ping	0.0731808
Sithole	0.0731098
Piot	0.0730189
Ruthardt	0.0730093
Aoki	0.0728868
Rudman	0.0727188
Liang	0.0722891
Axworthy	0.0721474
Aventajado	0.0720291
Hu	0.0720164
Hou	0.0719279
Schell	0.0718921
McCurry	0.0717582
Condit	0.0715948
Kasyanov	0.071518
Qi	0.0714974
Lehane	0.0714311
TDB	0.0712399
Arens	0.0711003
Fraga	0.0710767
Rashid	0.0710086
Meguid	0.0706436
Whitacre	0.0705552
Hofer	0.0705374
Azad	0.0704445
Napolitano	0.0703545
Seleznyov	0.0703507
Gu	0.0702796
Dini	0.0702424
Guterres	0.0702087
Moratinos	0.0701309
Dong	0.069756
Allchin	0.0696985
Venables	0.0695075
Brazile	0.0691342
McWilliams	0.0690753
Ahmed	0.0690381
Ecevit	0.0689769
Anand	0.0689089
Engel	0.0688142
Baird	0.0688083
Khalid	0.0686531
Lo	0.0686112
Atkinson	0.0685759
Sanan	0.0683538
Myhrvold	0.0681759
Weinstein	0.0679989
Talebi	0.0678632
Surin	0.0678242
Blazevic	0.0677492
Niyazov	0.0676878
Maslyukov	0.0674966
Bliley	0.0674535
Orban	0.0673437
O'Neil	0.0671813
Bai	0.0671444
Prescott	0.0670495
Solana	0.0670476
LeBlanc	0.0667764
Mineta	0.066747
Bautista	0.0664756
Agca	0.0664707
Chu	0.0663397
Manley	0.0663397
Ji	0.0662566
Romer	0.0662479
Prewitt	0.0661592
Hadley	0.0661423
Modise	0.0661318
))
(Baoding (desc 1573.82) (sims
Zhangjiakou	0.335411
Qinhuangdao	0.301
Tangshan	0.261938
Shijiazhuang	0.219264
Chengde	0.211415
Zhangbei	0.199911
Baotou	0.195205
Weifang	0.173799
Taiyuan	0.165376
Lianyungang	0.161105
Wuxi	0.160833
Zhangjiagang	0.15986
Zhangjiajie	0.155608
Xuzhou	0.155567
Shashi	0.145528
Anshan	0.144514
Datong	0.141705
Liuzhou	0.140133
Wenzhou	0.136136
Yinchuan	0.133928
Jinan	0.132641
Hefei	0.13259
Zhengzhou	0.132488
CHANGCHUN	0.131215
Xining	0.130943
Yantai	0.130807
Weihai	0.128736
Najaf	0.128256
Hohhot	0.124852
Novosibirsk	0.124436
Zhangzhou	0.12331
Harbin	0.121864
Shenyang	0.121782
Qingdao	0.120941
Yichang	0.120672
Guiyang	0.119353
Zhanjiang	0.11782
Bamiyan	0.117254
Changsha	0.116818
Batticaloa	0.11659
Zhongshan	0.116303
Trincomalee	0.115978
Quanzhou	0.115948
Dongguan	0.115012
Haicheng	0.114169
Changzhou	0.113107
Cotabato	0.112875
Tianjin	0.112062
Foshan	0.110524
"San Pedro Sula"	0.110087
Luoyang	0.10977
Multan	0.109752
Davao	0.109492
Suzhou	0.109003
Wuhan	0.108281
Herat	0.107671
Haikou	0.107543
Ningbo	0.107413
NANJING	0.107072
Chongqing	0.106926
Lanzhou	0.106298
Fushun	0.10558
Izmir	0.105357
Dalian	0.105224
Zamboanga	0.10516
Baalbek	0.105123
Hangzhou	0.104248
Kandy	0.102617
Sidon	0.102377
"Bohai Bay"	0.102262
Antalya	0.102129
Zhuhai	0.101923
Nantong	0.101023
Sanya	0.100679
Adana	0.100657
Saida	0.100397
Yangzhou	0.0999637
Huangshan	0.0992526
Basra	0.0989409
Mashhad	0.0988677
Taizhou	0.0986763
Nanchang	0.0985197
Jiujiang	0.0984856
Matadi	0.0981312
Qom	0.09764
Urumqi	0.097574
Bushehr	0.0959758
Shiraz	0.0957419
Khulna	0.0951588
Dandong	0.0941281
ZHOUSHAN	0.0936523
Sihanoukville	0.0934865
Hebei	0.0930256
Hyderabad	0.0920294
Cebu	0.0912191
Ashkelon	0.0908237
Inchon	0.0908184
Kitwe	0.090028
Guayaquil	0.0899117
Talipao	0.0898145
Kisumu	0.089617
Shantou	0.0894692
"Tianjin Municipality"	0.0889871
Atambua	0.0888668
Beira	0.0886288
Durres	0.0883787
Jinzhou	0.0883663
Xiamen	0.0883367
Kismaio	0.0879123
Kunming	0.0876362
Kuito	0.0875805
Gudermes	0.0872947
Bulawayo	0.0868976
Fuzhou	0.0868209
CHENGDU	0.0859494
Phuket	0.0856032
Urus-Martan	0.0854151
Pattaya	0.0852091
Shanxi	0.0850454
Liaoning	0.0849989
Ibadan	0.0847283
Rawalpindi	0.084311
Juba	0.0842521
Haifa	0.0825302
Mosul	0.082474
Samara	0.0821103
Manta	0.0820357
Kragujevac	0.0819656
Ndola	0.0815256
Cabinda	0.0810933
Tete	0.080892
Nago	0.0804856
Irbil	0.0797981
Mazar-i-Sharif	0.0797557
Bandung	0.0795902
Aswan	0.0791243
Bengkulu	0.0788586
Beihai	0.0787806
Bangalore	0.0787501
Cyberjaya	0.0785835
"Hebei Province"	0.0776986
Beidaihe	0.0774227
Isfahan	0.0771731
Turpan	0.0771599
Makeni	0.0770543
"Liaoning Province"	0.0769637
"Shanxi Province"	0.0768425
Posoltega	0.0767147
"Banja Luka"	0.0766506
Taloqan	0.0766051
Jilin	0.0757595
Huambo	0.0757579
Shandong	0.0757338
Moncton	0.0756721
Vavuniya	0.075346
Cacak	0.0753348
Medan	0.0753043
Manado	0.0751582
Zhenjiang	0.0751276
Jolo	0.074755
Izmit	0.0746267
Jalalabad	0.0746234
Mostar	0.0743304
Batam	0.0739323
Kizlyar	0.0738066
"Hainan Island"	0.0735382
Guilin	0.0734318
Yogyakarta	0.0731079
Daqing	0.072713
Ismailia	0.0725931
Quetta	0.0725838
Andulo	0.0725223
Kismayu	0.0723333
ponce	0.0722837
"CHIANG MAI"	0.0721675
Ensenada	0.0720105
Brcko	0.0720075
Kanungu	0.0719521
Vitoria	0.0719195
Golmud	0.071897
Jingdezhen	0.0717455
Leipzig	0.0715288
Dali	0.0714944
Diyarbakir	0.0714472
Puebla	0.0712805
Kupang	0.0708882
Shaanxi	0.0707427
Surabaya	0.0705462
Gdansk	0.0704485
Medellin	0.0704425
Ur	0.0703499
Sichuan	0.0702744
Kaohsiung	0.0701155
Dunhuang	0.070072
"Jiangxi Province"	0.0699938
Henan	0.0699519
"Guangxi Zhuang Autonomous Region"	0.0692821
Oro	0.069113
Mullaitivu	0.0689943
Chennai	0.0688855
))
(Baotou (desc 1340.32) (sims
Baoding	0.195205
Fushun	0.193106
Taiyuan	0.187753
Yinchuan	0.187623
Dandong	0.184749
Xining	0.184262
Zhongshan	0.182812
Xuzhou	0.179511
Anshan	0.176292
Lanzhou	0.169996
Hohhot	0.167422
Jinzhou	0.165247
Luoyang	0.161675
Zhengzhou	0.157261
CHANGCHUN	0.15322
Shenyang	0.153215
Shijiazhuang	0.152534
Quanzhou	0.148831
Zhangzhou	0.147887
Weifang	0.147481
"San Pedro Sula"	0.147049
Novosibirsk	0.146841
Qinhuangdao	0.144021
Chengde	0.143725
Shashi	0.143176
Kandy	0.140462
Liuzhou	0.139247
Zhangjiagang	0.137356
Urumqi	0.13708
Harbin	0.136801
Nanning	0.135563
Tangshan	0.134657
Datong	0.134515
Davao	0.134414
Haicheng	0.133628
Nanchang	0.132727
Baalbek	0.132399
Turpan	0.131357
Wuxi	0.129311
Hefei	0.128358
Guiyang	0.12829
Quetta	0.126979
Changsha	0.126336
Jinan	0.124497
Bamiyan	0.12398
ZHOUSHAN	0.122513
Jiujiang	0.121755
Jingdezhen	0.121727
Herat	0.120865
Wuhan	0.120643
Dalian	0.120411
Manado	0.120069
Haikou	0.119919
Zhangjiakou	0.119854
Wenzhou	0.119426
Izmir	0.119329
Zhanjiang	0.118696
Kunming	0.118164
Zhangjiajie	0.11778
Beira	0.117624
Ibadan	0.117461
Najaf	0.11711
Guayaquil	0.116864
Weihai	0.116695
Huangshan	0.114339
CHENGDU	0.113496
Hangzhou	0.113449
Kisumu	0.1134
Kuito	0.112972
Hyderabad	0.111828
Foshan	0.111658
Golmud	0.111656
Bulawayo	0.110713
Daqing	0.10939
Cotabato	0.108951
Shiraz	0.108812
Changzhou	0.108089
Ningbo	0.107457
NANJING	0.107438
Medellin	0.107304
Gudermes	0.107114
"Nenjiang River"	0.106703
Tianjin	0.104891
Juba	0.104512
Dongguan	0.10448
Haifa	0.104394
Fuzhou	0.104364
Cebu	0.104253
Chongqing	0.103525
Durres	0.103107
Taizhou	0.103097
Huambo	0.102618
Sidon	0.102417
HUHHOT	0.102384
Irbil	0.10194
Khulna	0.101061
Mosul	0.100373
Lianyungang	0.0975226
Xian	0.0973125
Shantou	0.0970927
Taloqan	0.0969123
"Banja Luka"	0.0969026
Guilin	0.0968932
Cartagena	0.0967967
Yichang	0.0966472
Jalalabad	0.0959315
Diyarbakir	0.0953932
Zamboanga	0.0947459
Makeni	0.0944403
"Liaoning Province"	0.0940037
Jayapura	0.093472
Sanya	0.0933322
Yangzhou	0.0932695
Lhasa	0.0924501
Kragujevac	0.0919849
Tete	0.0916832
PATNA	0.0914773
Trincomalee	0.0914184
Yantai	0.0910507
Antalya	0.0907761
Bangalore	0.0906835
Multan	0.090661
Cochabamba	0.0904818
Rawalpindi	0.0899761
Casas	0.0895837
Sihanoukville	0.0895821
Warri	0.0892113
Adana	0.0889673
Suzhou	0.0887474
Panzhihua	0.0884582
Zhenjiang	0.0880937
"Tianjin Municipality"	0.0880849
"Novi Sad"	0.0880366
Lubumbashi	0.0880174
Mashhad	0.0871801
"Kosovska Mitrovica"	0.0870567
Nago	0.0868468
Jaffna	0.0864871
Andulo	0.0858402
Qingdao	0.0856556
Chennai	0.0855134
Mandalay	0.085096
"Port Harcourt"	0.0849
Krakow	0.0848665
Vladikavkaz	0.0845983
Murmansk	0.0845306
Srinagar	0.0843793
Bushehr	0.0843661
"CHIANG MAI"	0.0841222
Christchurch	0.0841006
Kano	0.0839425
"Grand Forks"	0.0839092
Ashkelon	0.0838903
Posoltega	0.0838044
Galle	0.0833984
Aswan	0.0833495
Xiamen	0.083313
Matadi	0.083257
Charikar	0.0827571
Nagoya	0.0821434
Izmit	0.0821089
Lucknow	0.081818
Ndola	0.081751
Nantong	0.0816995
Medan	0.0814002
Londonderry	0.0813434
Pamplona	0.0810877
Vitoria	0.0810167
Peshawar	0.0809927
Nakuru	0.080603
Sevastopol	0.0805145
Beihai	0.0799658
Oro	0.0798172
Brcko	0.0796615
Puebla	0.0787986
Bukavu	0.0785875
Catania	0.0780049
Saida	0.0779397
Qom	0.0778864
Astana	0.0776031
Xigaze	0.0775024
Inchon	0.0774718
Zhuhai	0.0772496
Ensenada	0.0769832
Nablus	0.0767826
Mazar-i-Sharif	0.0764312
Pusan	0.0763151
"Shaanxi Province"	0.0762436
Mombasa	0.07589
"Port Moresby"	0.0758632
Dunhuang	0.0758486
Ambon	0.0757716
Gdansk	0.075705
Makhachkala	0.075189
Tapachula	0.0736398
Rajshahi	0.0735301
Khabarovsk	0.0734747
Aachen	0.0732653
Nenjiang	0.0729872
Monterrey	0.0728312
))
(baptism (desc 8292.88) (sims
"bar mitzvah"	0.143624
Crucifixion	0.107371
"Last Supper"	0.0938397
circumcision	0.0900718
"wedding ceremony"	0.0852124
resurrection	0.0781956
wedding	0.0750186
cremation	0.074677
coronation	0.0713804
burial	0.0701309
communion	0.065847
"religious ceremony"	0.0650013
ordination	0.0626333
funeral	0.0622375
graduation	0.0610707
"World Environment Day"	0.0599531
"Earth Day"	0.0588706
"Veterans Day"	0.0533967
reunions	0.0528137
"wedding party"	0.0514695
initiation	0.0513625
mitzvah	0.0510658
rearing	0.0508684
Requiem	0.0498294
incarceration	0.0496237
celibacy	0.0493827
divinity	0.0480864
"prayer service"	0.047419
send-off	0.0473221
"Second Coming"	0.046793
"World AIDS Day"	0.0449021
lynching	0.0447049
inauguration	0.0445822
rededication	0.0445419
remembrance	0.044527
Centenary	0.0434671
"curtain call"	0.0434272
swearing-in	0.0430613
ascension	0.0425896
deportation	0.0420734
stayaway	0.0418544
rite	0.0417548
"religious service"	0.0416739
Seder	0.0415514
induction	0.0409551
D-day	0.0409263
"wedding reception"	0.0406894
"dress rehearsal"	0.0406378
confirmation	0.0406327
confession	0.0404826
vigil	0.0404464
"fire sale"	0.0402661
naturalization	0.0401377
prom	0.0400782
"military drill"	0.0400083
))
(Baptist (desc 9884.1) (sims
"Southern Baptist"	0.270227
Presbyterian	0.22966
Baptists	0.159089
Methodist	0.146461
Episcopalian	0.139297
"Roman Catholic"	0.138529
Catholic	0.130121
"Orthodox Christian"	0.125353
Anglican	0.120018
christian	0.112023
Lutheran	0.111048
Quaker	0.108669
Mormon	0.106049
"Orthodox Jewish"	0.0925569
Korean-American	0.0840339
Orthodox	0.0836921
Mennonite	0.0825643
evangelicals	0.082342
Coptic	0.0796432
MCC	0.0792426
pentecostal	0.0720633
"Sunni Muslim"	0.0699982
Protestant	0.0675852
non-Catholic	0.0651592
Marxist	0.0645803
Buddhist	0.0622384
Muslim	0.0621403
missionary	0.0615135
Sikh	0.0604207
atheist	0.0591312
agnostic	0.059104
"Jehovah's Witness"	0.0589029
"African American"	0.0581921
Ebenezer	0.0569402
Shiite	0.0568032
Sunni	0.0547425
Anglo	0.0546105
Scientology	0.0542612
"native American"	0.0531537
"Christian church"	0.0530979
Hasidic	0.0530505
anarchist	0.0530085
preacher	0.0528554
"New Democrat"	0.0527226
vegetarian	0.0524555
feminist	0.0518625
Stroganoff	0.0517764
Asian-American	0.050536
Armenian	0.0504967
Quakers	0.0502764
Caucasian	0.0501179
"Irish Catholic"	0.0498131
"United Church of Christ"	0.0496523
"American Indian"	0.0496304
Southerner	0.0490831
theologian	0.0485112
racist	0.0484817
schoolteacher	0.0478587
for-profit	0.0474629
Realtor	0.0474413
secularist	0.0472197
"Orthodox Christians"	0.0471337
firebrand	0.0469684
churchgoer	0.0466904
Cuban-American	0.0466678
Mexican-American	0.0464219
"American Jewish"	0.046366
segregationist	0.0463316
learner	0.0462271
"middle class"	0.0461888
LDs	0.0460485
Christ	0.0453214
believer	0.0452171
Aggie	0.0452108
fundamentalist	0.0451768
pastor	0.0450784
Yoruba	0.0449025
Krishna	0.0447635
"law student"	0.0446696
"school teacher"	0.0444363
ultra-Orthodox	0.0440306
Irish	0.0440129
non-Hispanic	0.0438572
"United Methodist Church"	0.043849
Navajo	0.0437951
breadwinner	0.0437352
Zionist	0.0437217
evangelist	0.0435424
monarchist	0.0433152
Libertarian	0.0430474
Korean	0.0429702
"liberal arts"	0.0428284
"working class"	0.0428095
Amish	0.0426786
Irish-American	0.042595
"black person"	0.0424288
"inner city"	0.0423642
"lower class"	0.0422889
"Puerto Rican"	0.0422796
denomination	0.0422724
Texan	0.0420873
lesbian	0.0420852
hardline	0.0420614
Chinese-American	0.0419661
newspaperman	0.0419605
supremacist	0.0417614
hawkish	0.0416774
abolitionist	0.0416015
Hindu	0.041441
congregation	0.0412825
recluse	0.0412454
overachiever	0.0411769
realist	0.041107
internationalist	0.041087
"black woman"	0.0409948
parish	0.0409431
aristocrat	0.0408696
pacifist	0.0408335
jurist	0.0407991
housewife	0.0407787
"certified public accountant"	0.0407061
"real estate broker"	0.0406231
fella	0.0405179
gospel	0.0400767
))
(Baptists (desc 5298.7) (sims
Episcopalian	0.238858
Lutheran	0.23455
Methodist	0.226571
evangelicals	0.203654
Presbyterian	0.194666
Anglican	0.194001
Baptist	0.159089
Mormon	0.158117
"Southern Baptists"	0.147698
"Roman Catholic"	0.144851
Orthodox	0.143246
pentecostal	0.140894
"Southern Baptist"	0.125408
Catholic	0.122347
Buddhist	0.115398
"Jehovah's Witnesses"	0.110066
Protestant	0.106879
"Orthodox Christians"	0.104521
Moslem	0.101078
"Orthodox Jews"	0.101031
agnostic	0.0992296
christian	0.0963874
Hindu	0.0938921
Taoist	0.0899471
Quakers	0.0875327
Jew	0.0869366
Muslim	0.0869252
worshipper	0.0829077
churchgoer	0.0815618
"Southern Democrats"	0.080853
"Protestant denomination"	0.0804776
Quaker	0.080467
"Israeli Arabs"	0.080228
atheist	0.0767946
nonwhites	0.0755692
wellwisher	0.0750227
"Christian church"	0.0717092
clergy	0.0705031
Atlantans	0.0702789
"religious leader"	0.0697482
Southerner	0.0690197
"Kosovo Serbs"	0.0685521
worshiper	0.0683823
"church member"	0.0679669
Sikh	0.067898
Cuban-Americans	0.0664008
clergymen	0.0653393
"union member"	0.0651596
Armenians	0.0649747
denomination	0.0646152
parishioner	0.0641334
"New Democrats"	0.0630942
"market watcher"	0.0622123
bishop	0.0620659
Amish	0.0617087
congregation	0.0616736
"New York Democrats"	0.0614025
mourner	0.0604919
Chinese-Indonesians	0.0600743
"Reagan Democrats"	0.0595968
Angelenos	0.0594558
Shiite	0.0593871
townsfolk	0.0591637
Afrikaner	0.0589525
follower	0.0588801
enactors	0.0581613
Hispanic	0.0581376
"New Englander"	0.0581134
believer	0.0576376
fundamentalist	0.0576272
Muscovite	0.0574269
Arizonan	0.0560597
backbencher	0.0560175
lesbian	0.0559801
Athenian	0.0559497
Asian-Americans	0.0552452
theologian	0.05498
Zionist	0.0549713
Slav	0.0549632
evangelist	0.0546296
Gypsy	0.0545584
"South Carolinian"	0.0545299
"Sri Lankans"	0.0543053
Dodik	0.0542309
townspeople	0.0542307
congregants	0.0538714
Lithuanians	0.0538353
unionist	0.0537454
pagan	0.0534735
survivalist	0.053273
"Albanian Kosovars"	0.05259
"altar boy"	0.052543
"law student"	0.0525408
"African Americans"	0.0525382
"Southern Baptist Convention"	0.0523668
Georgian	0.0523464
"newspaper publisher"	0.0522857
preacher	0.0517924
prelate	0.051755
Croats	0.0516453
"business leader"	0.0512413
Vermonter	0.0512148
freshmen	0.0510991
"North Carolinian"	0.0509514
Texan	0.0507164
Orangemen	0.0505013
"hundred thousand"	0.0502548
suburbanite	0.0502409
"labor union"	0.0499454
"murder suspect"	0.0499342
drugmakers	0.0499205
feminist	0.0499111
"labor leader"	0.0498172
Copt	0.0497954
bikers	0.0494228
COACHES	0.0494224
Quebecers	0.0491283
skeptic	0.0490875
lawmen	0.0490089
Navajos	0.0489739
Floridian	0.0488404
congressmen	0.0486913
conventioneer	0.0486856
Mozambican	0.0486851
protestor	0.0486158
Bosnians	0.0485787
beekeeper	0.0484031
Sudanese	0.0483228
"General Committee"	0.0482082
"union worker"	0.0481544
"Joint Liaison Group"	0.0481018
Latino	0.0480585
well-wisher	0.0479789
"Free Democrats"	0.0479227
Ukrainians	0.0479108
"New Jerseyans"	0.0477026
"people of color"	0.0476988
Ecuadoreans	0.0475935
"council member"	0.0474406
Northerner	0.0473025
gamers	0.0472925
environmentalist	0.0471487
"religious service"	0.0470531
Montenegrins	0.0470396
"Cuban Americans"	0.0467693
"farm worker"	0.0465504
"San Franciscans"	0.0465411
doomsayers	0.0464715
"Los Angeles City Council"	0.0462664
major-leaguers	0.0462564
steelworker	0.0461336
marcher	0.0460952
anarchist	0.0460932
non-Jew	0.046067
filmgoers	0.0460028
Panamanian	0.045961
multimillionaires	0.045826
loyalist	0.0457848
Arab-Americans	0.0457292
Mississippian	0.0456978
homosexual	0.0455177
Timorese	0.045509
Hungarian	0.0454695
"sea otter"	0.0454442
firsts	0.0453564
"Puerto Rican"	0.0453282
"Sephardic Jews"	0.0452835
cleric	0.045201
Kono	0.0451972
preservationists	0.0451368
Judaism	0.0449961
"music lover"	0.044979
westerner	0.0449647
"Sunni Muslims"	0.0448961
"Palestine National Council"	0.0448617
Californian	0.0447715
Berliner	0.0447582
"political leader"	0.0445081
Meguid	0.0443664
PNC	0.0441248
"National Association of Broadcasters"	0.0441143
Ghanaians	0.0441019
Jesuit	0.0440658
"Jehovah's Witness"	0.044057
Haitian	0.0439465
"rain cloud"	0.0439436
doubter	0.0439068
"Guardian Council"	0.0438628
reservist	0.0438138
appointee	0.0437794
"North Koreans"	0.0437071
Colombian	0.0436861
Eritrean	0.0435407
"New York Republicans"	0.0435363
"university student"	0.04345
Leghari	0.0433579
adherent	0.0433136
Iowan	0.0430641
Protestantism	0.0430613
"newspaper editor"	0.0429328
))
(bar (desc 148405) (sims
restaurant	0.182853
cafe	0.161556
shop	0.145556
nightclub	0.142864
pub	0.131595
hotel	0.124669
store	0.123903
lounge	0.11978
room	0.116932
tavern	0.116633
apartment	0.115764
"coffee shop"	0.108941
parlor	0.105219
club	0.105173
kitchen	0.104224
gym	0.103909
house	0.101404
"dining room"	0.101127
mall	0.100039
table	0.0999628
theater	0.0976677
hall	0.0959992
bookstore	0.0943958
"grocery store"	0.0938236
bars	0.0932295
cafeteria	0.0930918
home	0.0925283
building	0.0924227
supermarket	0.0916234
ballroom	0.0912462
deli	0.091043
library	0.0906065
office	0.0905362
"movie theater"	0.0904204
park	0.0902397
diner	0.0900779
"gas station"	0.0888263
box	0.0884104
"dance hall"	0.0875457
gallery	0.0875053
salon	0.0864088
wall	0.0862245
bedroom	0.0856368
"gift shop"	0.0854835
"parking lot"	0.0851212
bistro	0.0851073
garage	0.0846195
studio	0.0845828
door	0.0844923
saloon	0.0843
street	0.0836397
disco	0.0833749
Casino	0.0832585
motel	0.0830023
desk	0.0823016
boutique	0.0822438
church	0.0818019
"convenience store"	0.0817581
school	0.0814976
"liquor store"	0.0810432
"post office"	0.0806959
"living room"	0.0802616
bed	0.0799605
bathroom	0.0799271
window	0.0799055
bakery	0.0798449
suite	0.0797764
"conference room"	0.0793815
garden	0.0791888
"hotel room"	0.0791867
classroom	0.0791808
floor	0.079055
coffeehouse	0.078943
"art gallery"	0.0789394
eateries	0.0786004
center	0.0784813
"department store"	0.0783688
lobby	0.0775318
"swimming pool"	0.0771435
neighborhood	0.0768104
museum	0.0767846
"office building"	0.0764983
booth	0.0761945
Warehouse	0.0755268
auditorium	0.0754789
"shopping center"	0.0753217
"shopping mall"	0.0753134
hallway	0.0747864
counter	0.0742921
car	0.0741318
square	0.0739246
hospital	0.0736379
stadium	0.0735354
chair	0.0734763
courtroom	0.0733916
mansion	0.0733806
glass	0.0725555
clinic	0.0720808
"apartment building"	0.071497
joint	0.070654
elevator	0.0703117
fence	0.0694237
place	0.0692018
complex	0.068815
"clothing store"	0.0685086
station	0.0684008
gate	0.0682509
inn	0.0675919
factory	0.0675718
dinner	0.0673867
Tower	0.0673786
cabin	0.0671511
bag	0.0668565
space	0.06683
stand	0.0667805
courtyard	0.0667678
pool	0.0664569
"community center"	0.0661155
ring	0.065878
arena	0.0657879
beach	0.0657522
loft	0.0655793
Pharmacy	0.0653483
beam	0.0653339
kiosk	0.065222
SPA	0.0652003
"hardware store"	0.0651656
"police station"	0.0650884
mosque	0.0649595
prison	0.0648734
drugstore	0.0648046
balcony	0.0647904
gymnasium	0.0647797
plate	0.0647232
tent	0.0647047
furniture	0.0645753
area	0.0644751
brothel	0.0642164
vault	0.0641854
cake	0.0641769
site	0.0640887
tree	0.0636084
roof	0.0635078
cooky	0.0633709
clubhouse	0.0632847
drink	0.0632435
cemetery	0.0632384
bottle	0.0631331
corner	0.0629292
plaza	0.0625991
dish	0.0625937
airport	0.0623696
facility	0.0622656
screen	0.0620659
scene	0.061779
"dressing room"	0.0617786
"locker room"	0.061746
chain	0.0617198
ceiling	0.0616049
seat	0.0613838
palace	0.0612953
courthouse	0.0611865
basement	0.0611503
village	0.061058
chapel	0.0609893
stalls	0.0609658
lunch	0.06096
sandwich	0.0609387
shelter	0.0608553
chamber	0.0608466
synagogue	0.0607867
resort	0.0607396
machine	0.0606406
pit	0.0602622
storefront	0.060213
restroom	0.0600505
block	0.0599499
outlet	0.0596778
condominium	0.0596455
spot	0.0596148
shelf	0.0595843
"high school"	0.0593176
closet	0.0592425
locker	0.0592025
venue	0.0591862
front	0.0588788
pizza	0.0587716
sofa	0.0587105
showroom	0.0586936
sidewalk	0.0586909
line	0.0585241
camp	0.0583728
dormitory	0.0583673
residence	0.0582732
entrance	0.0582672
arcade	0.0582028
pipe	0.0581849
deck	0.0580641
"amusement park"	0.0580233
grocery	0.0580177
))
("bar code" (desc 6627.29) (sims
watermark	0.10552
CT	0.0953331
"identification number"	0.0940183
motherboards	0.0886371
"radio frequency"	0.086899
tag	0.082333
fingerprint	0.0821767
scanner	0.0820558
"return address"	0.0799989
postmark	0.0710917
disclaimer	0.0702476
checkout	0.068872
E-ZPass	0.0673054
logo	0.066284
MRI	0.0641947
Braille	0.0633812
ultrasound	0.0633363
"order form"	0.0625077
"magnetic resonance imaging"	0.0623162
laser	0.0617002
handheld	0.0616536
"bank statement"	0.0598979
"business card"	0.0596692
sensor	0.0589473
sticker	0.058286
floppy	0.0578746
microfilm	0.057733
"fax machine"	0.0568951
sonar	0.0558697
imaging	0.0556403
marking	0.0555229
ID	0.055509
"sheet music"	0.0548074
afterburner	0.0544023
databank	0.0542363
microchip	0.0538704
Filtration	0.0534255
videophone	0.053291
"disk drive"	0.0530855
decal	0.052958
stripe	0.0525037
joysticks	0.0524415
"storage device"	0.0522589
optic	0.0521857
"last two digits"	0.0520602
caption	0.0512361
copier	0.0512293
"memory chip"	0.0510343
printer	0.0508378
packaging	0.0507951
infrared	0.0507661
"tea leaf"	0.050561
newsgroup	0.0504968
"hand-held computer"	0.0504252
lettering	0.0501434
audio	0.0500596
hologram	0.0500038
analyzer	0.0497818
SDH	0.049474
fingerprinting	0.0492907
"identity card"	0.0492422
"X-ray machine"	0.0490987
"birth certificate"	0.0490101
"caller ID"	0.0489631
modem	0.0489292
supercomputers	0.0488809
"license plate"	0.0488706
"telephone book"	0.0487355
shamrock	0.0487338
altimeter	0.0485501
WebTV	0.0483852
"registration number"	0.04825
"boarding pass"	0.0482243
"one line"	0.0482115
telephony	0.048187
swastika	0.0481506
"floor plan"	0.0480874
"software package"	0.0480221
hyphen	0.0477915
identifier	0.0477012
Encryption	0.0475672
connector	0.0474179
handwriting	0.0473288
password	0.0470147
"tool kit"	0.0468677
stylus	0.0466868
"form letter"	0.0466198
"CD player"	0.0465148
RealPlayer	0.046377
"wireless telephone"	0.0463148
"magnifying glass"	0.046207
automation	0.0461878
coupon	0.0459622
"hard disk"	0.0456063
postage	0.0455713
"prayer book"	0.0453958
"piece of paper"	0.0450715
"air bag"	0.0450419
"inventory control"	0.0449856
invoice	0.044936
stub	0.0449006
"radio transmitter"	0.044778
"compact disc"	0.0447722
CD-ROM	0.044743
microcomputer	0.0446804
disk	0.044529
worksheet	0.0444427
peripheral	0.0443267
detector	0.0442787
graphics	0.0442587
XML	0.0442503
antenna	0.0442231
Banknote	0.0442014
carnivore	0.0440879
"circuit breaker"	0.0440107
inkjet	0.0439981
identification	0.0437482
welt	0.0436579
x-ray	0.0436082
"piece of cloth"	0.0434649
"spider web"	0.0434537
"mug shot"	0.0434338
"floppy disk"	0.0433539
booklet	0.043333
acrobat	0.0431115
CD-R	0.043005
"vacuum cleaner"	0.0429491
telemedicine	0.0426948
filtering	0.0426155
handbill	0.0425541
"phone number"	0.0425218
Spyglass	0.0424884
transmitter	0.0420795
USB	0.0419543
intranet	0.0419341
BLUETOOTH	0.0419107
numeral	0.0418761
"audio CD"	0.041824
Projector	0.0418065
"computer program"	0.0416963
keyboard	0.0416515
"laser printer"	0.041461
radar	0.0414162
"bulletin board"	0.0413792
URL	0.0413735
printout	0.0411637
"Windows Media Player"	0.0411629
GPS	0.0411059
desktop	0.041069
BoT	0.040872
microprocessor	0.0408119
circuitry	0.0407441
pimple	0.0407293
sunscreen	0.040493
defibrillators	0.0403065
Gnutella	0.0402814
"cellular telephone"	0.0402285
"artificial intelligence"	0.0400901
HTML	0.0400423
Webcam	0.0400382
))
("bar mitzvah" (desc 3108.78) (sims
baptism	0.143624
mitzvah	0.1373
wedding	0.119598
"wedding anniversary"	0.111761
graduation	0.102439
"wedding reception"	0.0922669
"wedding ceremony"	0.0741274
"Mother's Day"	0.0708185
"World Environment Day"	0.0703946
coronation	0.066713
reunions	0.0636167
"social event"	0.0630326
sleepovers	0.0609779
"Bastille Day"	0.060293
Hanukkah	0.0598992
mariachi	0.0596923
"religious ceremony"	0.0593651
"Earth Day"	0.059103
swearing-in	0.0585809
prom	0.05769
"dinner party"	0.0573786
hand-me-down	0.0557894
polka	0.0545187
"Father's Day"	0.0528989
"Holy Year"	0.0526796
Kwanzaa	0.0526471
"grammar school"	0.0526343
"Lunar New Year"	0.0520451
solstice	0.0518767
"Veterans Day"	0.0513329
potluck	0.0509832
Oktoberfest	0.0500201
eventuality	0.0491738
ascot	0.0489113
"New Year's eve"	0.0487204
Passover	0.0484735
"cash bonus"	0.0474144
"May Day"	0.0471031
pep	0.0468885
third-grade	0.0466862
"holy day"	0.0462701
enshrinement	0.0462243
coming-out	0.0460763
"civic duty"	0.0460636
"Mardi Gras"	0.045868
rededication	0.0456016
communion	0.0455309
"Black History Month"	0.0454227
Haj	0.0450441
Zydeco	0.0444946
send-off	0.0440474
circumcision	0.0438075
cookout	0.0434245
"bit part"	0.0425312
yeshiva	0.0423028
jubilee	0.0422288
"first exposure"	0.0421065
"board meeting"	0.0418873
"ticket stub"	0.0416676
"raw talent"	0.0416425
decompression	0.041603
fibula	0.0415028
slipcover	0.0414908
"nervous breakdown"	0.0414228
"National Day"	0.0412972
priesthood	0.0407869
"Rosh Hashana"	0.0407721
merengue	0.0406752
C-section	0.0406014
"clenched fist"	0.0405096
"space walk"	0.0404549
"Velvet Goldmine"	0.0404447
"full term"	0.0404077
Juneteenth	0.040289
))
(Barad (desc 1302.84) (sims
DIMON	0.225202
Rivlin	0.171065
BURNHAM	0.168679
Ribbeck	0.157025
Spyridon	0.156414
Skiles	0.153801
Fiorina	0.15365
Demaci	0.151733
Catacosinos	0.150956
Mukora	0.150658
Slatkin	0.14926
McColl	0.147722
Zeroual	0.139211
Majko	0.13842
Mokhehle	0.134084
Zadornov	0.13397
Bolger	0.133633
Arbour	0.132255
Schaeuble	0.131716
Greenwald	0.130308
Menchu	0.12981
Pfeiffer	0.129675
Coelho	0.126049
Layden	0.123833
Duisenberg	0.123366
Murayama	0.122398
Kirkpatrick	0.122131
Hindery	0.121934
Brazile	0.121865
Farber	0.121731
Whitsitt	0.121505
Joklik	0.120776
Fuente	0.120525
Protas	0.120381
Meissner	0.118953
Gowda	0.118473
Pearce	0.118432
Eisner	0.118166
Singson	0.117982
McDonnell	0.11789
Kerik	0.11654
Kagalovsky	0.115552
Ivester	0.115011
Naumann	0.114676
Cowens	0.114561
Tilberis	0.114327
Vogts	0.114314
Koop	0.113899
Esrey	0.11386
Wiatt	0.113311
Tarawneh	0.112594
Condit	0.111991
Coulter	0.111811
Gilman	0.111585
Koirala	0.110304
Sheehy	0.109546
Kasyanov	0.109537
Baer	0.108746
Brundtland	0.108595
Hickman	0.108454
Nakamura	0.108301
Oliveira	0.108052
Symons	0.10803
Jager	0.107889
Drexler	0.1074
Shulman	0.107287
Magaziner	0.107253
DeFrantz	0.107169
Havelange	0.106858
Neulander	0.106308
Andreessen	0.106263
Tuttle	0.105957
Nanula	0.105609
burrows	0.105142
Quackenbush	0.105028
Harmoko	0.104951
Janssen	0.104678
Sato	0.104545
Sanan	0.104036
Kasoulides	0.103883
Daft	0.103552
Marquez	0.103482
Mandelson	0.103454
Molinari	0.103316
Marineau	0.102982
Goldin	0.102861
McCurry	0.102842
Rawabdeh	0.102581
McCormack	0.102561
Bakaly	0.102249
Wasserstein	0.102225
Bragg	0.102081
Verniero	0.101875
Godfrey	0.101811
Garvey	0.101627
Cubas	0.101576
Hanley	0.100808
Moscoso	0.100692
Betts	0.100673
Ballmer	0.0989766
Mckee	0.0989203
Vasquez	0.0986831
pressman	0.0985081
D'Alessandro	0.0981156
Carmichael	0.0980627
Hazen	0.0979454
Shriver	0.097752
Coia	0.0977077
Sassa	0.0975906
Advani	0.0973709
Mowlam	0.0973412
Leyland	0.0972835
Britton	0.0970689
Neeman	0.0970579
Patten	0.0969318
Chevenement	0.0968263
Mullen	0.0966937
Bubb	0.0966876
Maldini	0.0962652
Henning	0.096042
Safir	0.095881
Bizimungu	0.0958059
Eizenstat	0.0958009
Weizman	0.0954412
Lazarenko	0.0953176
Venables	0.0952097
Fyodorov	0.0944922
Wendt	0.0944864
Gosper	0.0942102
Cramer	0.0940768
Newhouse	0.0938555
DONOVAN	0.0938454
Rowley	0.0933212
Ashrawi	0.0931524
Kesri	0.0930827
Ritter	0.0928367
Schott	0.0928031
Erbakan	0.0927344
Malan	0.092396
Mucha	0.0923875
Hahn	0.0922827
Romar	0.0921007
Cohn	0.0920244
Malu	0.09168
MIYAZAWA	0.0915321
Penders	0.091216
Nkomo	0.0910545
Dowd	0.0906826
Guerin	0.090601
Haines	0.0902235
Laudrup	0.0901322
Jung	0.0899709
BARNICLE	0.0896458
Kornberg	0.0896314
Albrecht	0.0896071
Bulatovic	0.0896037
Wetherell	0.0895993
Ahtisaari	0.0895384
Tobin	0.0894512
Shipley	0.089199
Brenner	0.0891137
Nilsson	0.0890496
Blum	0.0890372
Pape	0.0890129
Deri	0.0889362
Hamlin	0.0887444
Feldman	0.0885802
Moratinos	0.0883749
Koehler	0.0883357
Maslyukov	0.0883318
Samaranch	0.0881308
Barnett	0.0881238
Kazhegeldin	0.0880368
Ackerman	0.0879787
Diller	0.0878106
Kurth	0.0877917
Chukwu	0.0877313
LeFave	0.0876878
Falco	0.0876313
Merritt	0.0875999
Scruggs	0.0875875
Iger	0.0874554
Thayer	0.0874279
Musa	0.0873176
Lundberg	0.0872815
Zuckerman	0.0872014
Stoneman	0.086964
Hamid	0.0869256
McDaniel	0.0868692
Byrne	0.0868185
Bavasi	0.0865564
Orton	0.086536
Kuhn	0.0865349
Rosen	0.0860449
Northup	0.0857658
Neuheisel	0.0857589
Rosenthal	0.0857149
Pierson	0.0856757
COYNE	0.0856702
Montalvo	0.0854025
))
(Barak (desc 74014.6) (sims
"Ehud Barak"	0.324919
Netanyahu	0.295681
Arafat	0.256204
"Benjamin Netanyahu"	0.248616
Annan	0.182073
Yeltsin	0.178837
Putin	0.178775
"Binyamin Netanyahu"	0.175673
Albright	0.174064
Clinton	0.170044
Schroeder	0.167807
Blair	0.167598
Mubarak	0.16724
"Tony Blair"	0.165168
Peres	0.161969
Obuchi	0.156861
Mordechai	0.156383
Mandela	0.154716
Primakov	0.154044
Khatami	0.153325
Milosevic	0.147528
Chirac	0.146943
Wahid	0.14674
"Shimon Peres"	0.146661
"Keizo Obuchi"	0.145476
gore	0.144375
Vajpayee	0.144106
"Hun Sen"	0.143792
Habibie	0.142479
Sharif	0.141447
President	0.138415
al-Assad	0.137253
Chernomyrdin	0.136161
Assad	0.135752
Bush	0.135725
Chuan	0.13567
Hashimoto	0.135291
"Kofi Annan"	0.135157
Pastrana	0.135146
Estrada	0.135113
"Nawaz Sharif"	0.13417
leader	0.133481
Israel	0.133124
Kohl	0.132642
Moi	0.131834
"Atal Bihari Vajpayee"	0.130528
Mahathir	0.129756
Jiang	0.129569
Ecevit	0.12907
"Yasser Arafat"	0.129039
Trimble	0.129035
Abubakar	0.128745
"President Kim Dae-jung"	0.128344
Mugabe	0.128183
Pataki	0.127764
minister	0.12653
Rugova	0.126469
"Ryutaro Hashimoto"	0.126352
"secretary of state"	0.12595
Fujimori	0.125339
Jospin	0.124671
Weizman	0.124588
Clerides	0.123306
Zhu	0.123184
Kabila	0.122993
Chancellor	0.122706
McCain	0.122319
Mbeki	0.122052
Hariri	0.120813
Kuchma	0.120757
Prodi	0.120691
"Yevgeny Primakov"	0.120082
Obasanjo	0.119823
"King Hussein"	0.119724
Zedillo	0.119617
government	0.119549
Cohen	0.119345
Tung	0.119312
Giuliani	0.118381
Aziz	0.117701
Lott	0.117222
"John Howard"	0.11664
Sharon	0.116146
Moussa	0.114906
Chavalit	0.113683
Bradley	0.112745
"Chuan Leekpai"	0.112396
Holbrooke	0.112145
D'Alema	0.111846
Denktash	0.111547
Cardoso	0.111166
Palestinian	0.111134
Yilmaz	0.110982
"John Major"	0.110661
"Mahathir Mohamad"	0.110526
Samaranch	0.110468
Aznar	0.110262
Demirel	0.110122
"William Cohen"	0.109303
Hastert	0.109259
"George W. Bush"	0.109202
Israeli	0.109136
negotiator	0.108493
Chavez	0.107812
al-Sharaa	0.107781
Gephardt	0.10744
"foreign minister"	0.107411
"Atal Behari Vajpayee"	0.107194
"Lionel Jospin"	0.107096
Mori	0.107088
Governor	0.105981
Abdullah	0.105618
Lahoud	0.105534
Chretien	0.104959
Simitis	0.104464
administration	0.104396
Musharraf	0.104321
Reno	0.103971
Cellucci	0.103748
Saddam	0.103556
"Yoshiro Mori"	0.103254
Kiriyenko	0.102571
Gingrich	0.102138
"Sheikh Hasina"	0.102053
"King Abdullah"	0.102
Premier	0.101897
Gujral	0.101754
Hasina	0.10139
lawmaker	0.101298
Menem	0.101251
"Vladimir Putin"	0.101117
Mayor	0.100802
Syria	0.100646
"Viktor Chernomyrdin"	0.100393
"Jean Chretien"	0.100332
Ross	0.100245
levy	0.0996043
Stepashin	0.0995759
Gadhafi	0.0994028
Gaddafi	0.0993479
Solana	0.0990394
Ivanov	0.0990186
"Jordanian King Hussein"	0.0988052
Hoffa	0.0984631
"vice president"	0.0981608
party	0.0981134
"Bulent Ecevit"	0.0978581
"Javier Solana"	0.0978045
Kim	0.0974273
Lukashenko	0.0973086
DOLE	0.0971934
Shahak	0.0971191
Fischer	0.096929
Lazio	0.0969136
"Mesut Yilmaz"	0.0968894
"Sergei Kiriyenko"	0.0966495
PNA	0.0963422
"Labor Party"	0.0961707
Taliban	0.0961415
"Janet Reno"	0.0960321
Kharrazi	0.0951282
senator	0.0950089
"Social Democrats"	0.0948886
"Rafik Hariri"	0.0947819
Maskhadov	0.0946755
"Palestinian National Authority"	0.0945164
official	0.0945108
Labastida	0.0945021
Hussein	0.0941534
Ramos	0.0940974
"Meles Zenawi"	0.0940582
Museveni	0.0938859
Corzine	0.0935666
Howard	0.0932607
Chiluba	0.0930982
Goh	0.0930937
Rua	0.0929209
"finance minister"	0.0927586
Schumer	0.0926786
"Deve Gowda"	0.0925686
"Costas Simitis"	0.0922855
Castro	0.0920512
delegation	0.092028
Starr	0.0919986
Wiranto	0.0919644
Koirala	0.0917732
cabinet	0.0912093
"Jose Maria Aznar"	0.0911296
NATO	0.0909364
"Romano Prodi"	0.090929
Nazarbayev	0.0907421
Djukanovic	0.0907353
Khamenei	0.090649
Sergeyev	0.0904677
Erbakan	0.0903776
Ranariddh	0.0901876
"Yitzhak Rabin"	0.0893758
Khaddam	0.0889538
"Hillary Rodham Clinton"	0.0889422
"Boris Yeltsin"	0.0889134
))
(barb (desc 10892.4) (sims
jab	0.148548
jibe	0.134406
potshot	0.128264
swipe	0.103584
insult	0.103001
ribbing	0.0987575
pleasantry	0.0982688
invective	0.0890245
taunt	0.0889054
epithet	0.0883368
broadside	0.0859456
one-liner	0.0805708
gibe	0.0768682
thunderbolt	0.0749379
slur	0.0733179
joke	0.0728455
criticism	0.0723866
dart	0.0693688
vitriol	0.0671121
boo	0.0667997
zinger	0.0660137
zingers	0.0623374
fisticuffs	0.0596
obscenity	0.0592376
quip	0.0579452
heckling	0.0575984
tirade	0.0571735
rhetoric	0.0571576
volley	0.0571175
salvo	0.0567308
witticism	0.0566298
critique	0.0565995
"artillery fire"	0.0558462
accusation	0.0552337
"mortar fire"	0.0544434
arrow	0.0534278
lashing	0.0533604
digs	0.053192
"hand grenade"	0.0528538
sparring	0.0516644
gunfire	0.0511245
curveballs	0.0510929
anecdote	0.0500735
rebuke	0.0496038
recrimination	0.0496012
entreaty	0.0494614
firebomb	0.0486733
diatribe	0.0485326
fistfight	0.0484589
flogging	0.0479361
humor	0.0478814
snowball	0.0471121
Grenade	0.0466374
projectile	0.0465658
sarcasm	0.0465605
"sales pitch"	0.046143
asides	0.0452903
barrage	0.0451246
jeer	0.0448885
"bowling ball"	0.0446134
scorn	0.0435278
satire	0.0433735
wisecrack	0.0433667
finger-pointing	0.0430169
flak	0.042795
wit	0.0426543
uppercut	0.042599
gag	0.0424755
"sound bite"	0.0424068
"service break"	0.0422914
high-fives	0.0422668
profanity	0.0418577
Vilification	0.0418547
put-down	0.0414189
bickering	0.04125
tantrum	0.0409029
riff	0.0407099
outburst	0.0406573
backlash	0.0403835
blooper	0.0402165
battering	0.0400698
spat	0.0400161
))
(Barbados (desc 14322.5) (sims
Jamaica	0.183919
Dominica	0.173714
"Dominican Republic"	0.17041
Grenada	0.16366
"Trinidad and Tobago"	0.162961
Bahamas	0.16237
Antigua	0.143334
Guatemala	0.141522
"El Salvador"	0.140082
"St. Vincent and the Grenadines"	0.140029
Guyana	0.134576
Panama	0.132247
"Netherlands Antilles"	0.130706
"Costa Rica"	0.130553
"Cayman Islands"	0.129995
Uruguay	0.12909
"St. Kitts and Nevis"	0.128453
"St. Lucia"	0.12801
"Puerto Rico"	0.127218
Mauritius	0.124525
Venezuela	0.120775
"St. Kitts"	0.11946
Suriname	0.118683
Honduras	0.117405
Malta	0.116317
"New Zealand"	0.11528
Finland	0.114064
Norway	0.113789
"Antigua and Barbuda"	0.112855
"Papua New Guinea"	0.112614
Guadeloupe	0.111918
Cuba	0.111556
Martinique	0.111453
Haiti	0.110761
Iceland	0.110734
Hungary	0.110257
Ecuador	0.109334
Estonia	0.108704
Bermuda	0.108205
Ghana	0.107755
Nicaragua	0.107686
Belize	0.107449
"Cook Islands"	0.10674
Luxembourg	0.105393
Trinidad	0.104366
Vanuatu	0.103272
Guam	0.102316
Lithuania	0.102176
Ireland	0.101921
Chile	0.101394
Argentina	0.100905
Tunisia	0.0997976
Uzbekistan	0.0997247
Bolivia	0.0996372
"Ivory Coast"	0.0993809
Brazil	0.099165
Qatar	0.0991595
Brunei	0.0989885
Portugal	0.0989606
Senegal	0.0980196
Seychelles	0.0975605
Kazakhstan	0.097088
Slovenia	0.096973
Namibia	0.0969144
Slovakia	0.0966555
Canada	0.0963877
Togo	0.0961467
Poland	0.096008
Bahrain	0.0958492
Mali	0.0955749
Croatia	0.0953769
Madagascar	0.0948921
Paraguay	0.0948018
Netherlands	0.0945591
Cameroon	0.0943715
Morocco	0.0942669
Latvia	0.0941899
Oman	0.0939506
Aruba	0.0939384
Belgium	0.0939259
Mexico	0.0939185
Denmark	0.0930099
Colombia	0.0927847
Switzerland	0.0927187
"Sri Lanka"	0.0920493
"South Korea"	0.091703
Fiji	0.091201
Algeria	0.0911558
Sweden	0.090622
Australia	0.0904642
"St. Thomas"	0.0888651
Bulgaria	0.088717
Gabon	0.0886128
Peru	0.0885948
"United Arab Emirates"	0.0884774
"South Africa"	0.0881301
Surinam	0.0881239
"St. Vincent"	0.0876461
Luxemburg	0.0874815
Armenia	0.0872269
CANCUN	0.0864715
Laos	0.0860753
Kenya	0.0857701
Italy	0.0856218
Anguilla	0.0854891
Tonga	0.0852856
Belarus	0.0852034
Philippines	0.0851882
Moldova	0.084778
"Great Britain"	0.0845793
Taipei	0.0844546
Malaysia	0.0842075
Maldives	0.0841877
"Saudi Arabia"	0.0841585
Zimbabwe	0.0840121
Austria	0.0831432
Romania	0.0827749
"St. Croix"	0.0827263
curacao	0.0825749
"Santo Domingo"	0.082475
Nauru	0.0820414
Scotland	0.0818844
Spain	0.0817564
Thailand	0.0817455
Malawi	0.0811009
"Cape Verde"	0.0809004
Nigeria	0.0807043
KIEV	0.0806609
"DPR Korea"	0.0806081
Ukraine	0.0805626
"Virgin Islands"	0.0800479
Kyrgyzstan	0.0796043
Guinea	0.0795964
Greece	0.0795492
"Western Samoa"	0.079404
Benin	0.0793149
Swaziland	0.079241
Samoa	0.07917
Botswana	0.0791136
ZAGREB	0.0787892
Egypt	0.0779681
Havana	0.0773734
Singapore	0.0764589
"Burkina Faso"	0.0764106
Hawaii	0.0764069
BUDAPEST	0.0763697
Yemen	0.0759432
Korea	0.0754016
Tripoli	0.07524
India	0.0750722
Mongolia	0.0748067
Nassau	0.0746363
Accra	0.0742804
Djibouti	0.0742588
Kazakstan	0.0741848
Mozambique	0.0739798
"Czech Republic"	0.0738144
Teheran	0.0736001
Turkmenistan	0.0733981
Libya	0.0733883
Bali	0.0732965
"Chinese Taipei"	0.0725891
"Ho Chi Minh City"	0.0723819
France	0.0723645
Caribbean	0.071513
Germany	0.0703923
Tahiti	0.070096
CARACAS	0.0698563
"Guatemala City"	0.0695925
Kuwait	0.0693458
Niger	0.0692083
"San Juan"	0.0687992
"U.S. Virgin Islands"	0.0681838
Angola	0.0679358
Madrid	0.0677706
"New Orleans"	0.0674881
"San Marino"	0.0674327
Copenhagen	0.0672643
"San Salvador"	0.0671023
Indonesia	0.0669122
Wales	0.0668583
England	0.0668532
Algiers	0.0666894
Dublin	0.0665389
Nepal	0.0664951
Azerbaijan	0.0663978
Gambia	0.0663481
Minsk	0.0662754
Vancouver	0.0662699
Zambia	0.0662332
Cyprus	0.0661597
Bangladesh	0.0661165
PYONGYANG	0.0660203
Cartagena	0.0659796
"Juan Antonio Marin"	0.0659392
ROK	0.065751
Nacional	0.0656244
"Republic of Korea"	0.0656168
Reykjavik	0.0656138
"Solomon Islands"	0.0654529
))
(Barbara (desc 10522.9) (sims
Laura	0.14925
Pam	0.145407
Lynne	0.144151
Kristin	0.143716
Brenda	0.142621
Linda	0.14128
Kathy	0.140726
Maureen	0.139291
Jacqueline	0.139221
Susan	0.138613
Eileen	0.136501
Patricia	0.136059
Sara	0.135541
Josephine	0.134582
Cindy	0.133227
Sarah	0.133127
Marlene	0.131519
JoAnne	0.131487
Diane	0.131344
Cathy	0.12868
Evelyn	0.12845
Nancy	0.128174
Clara	0.127245
Dorothy	0.126198
Carolyn	0.125302
Doris	0.12527
colleen	0.12504
Kathleen	0.124515
Stephanie	0.124211
Michelle	0.124185
Tracey	0.123725
Janice	0.122625
Peggy	0.122265
Olga	0.121579
alicia	0.121438
Christine	0.119924
Jennifer	0.119485
Teresa	0.119481
Lisa	0.117947
Sonia	0.117384
Leah	0.11719
Elaine	0.117035
Janet	0.116828
Lois	0.115788
Margaret	0.115578
Edith	0.115387
Julie	0.11536
Valerie	0.11483
Suzanne	0.114784
Maria	0.113767
Helen	0.113669
Beverly	0.113195
Debbie	0.11317
Sylvia	0.113082
ANN	0.112807
Betty	0.112369
anna	0.112152
"Barbara Bush"	0.112079
Phyllis	0.111876
Cheryl	0.111378
Mary	0.111043
Rita	0.110344
Pauline	0.110253
Karen	0.110033
Kimberly	0.109978
Vicki	0.10921
Theresa	0.108882
Terri	0.108699
"Azizah Ismail"	0.10853
Millie	0.107739
Denise	0.107366
Miriam	0.107231
Martha	0.106392
Lynn	0.106361
Deborah	0.105736
Sheryl	0.105097
Andrea	0.105028
Donna	0.105025
Judy	0.103793
Connie	0.103354
Beth	0.103168
Esther	0.103023
Sandra	0.102865
Caroline	0.101643
Marta	0.101215
Rebecca	0.100907
Rachel	0.100889
Juanita	0.100517
Patti	0.100447
Michele	0.0988225
Shirley	0.0987748
Eleanor	0.0984416
gloria	0.0978028
Alexandra	0.0975957
Liz	0.0974827
Sally	0.0971587
Anita	0.0970644
Carol	0.0969234
Marianne	0.096741
Nora	0.0959546
Amy	0.095947
Marilyn	0.0957576
Irina	0.0955959
Katie	0.0955598
Dolores	0.094721
"Wang Yeping"	0.0946725
Nicole	0.0943248
Gail	0.0942692
Annie	0.0942488
"Graca Machel"	0.0941266
Lori	0.0940194
Lydia	0.093916
Anne	0.0935575
Johanna	0.0931892
Marian	0.0929325
Jane	0.0928666
Jill	0.0927502
Frances	0.0923262
Cherie	0.0915866
Hadassah	0.0915218
Kathryn	0.0914577
Ashley	0.0914518
Tina	0.0912161
Steve	0.0912095
Polly	0.0911984
Julia	0.0911936
Jeb	0.0911087
Beatrice	0.0910072
Debra	0.0909951
Monique	0.0908046
Judith	0.0907826
Brooke	0.0906624
Ellen	0.0906429
Tipper	0.0906146
Jamie	0.0903883
Shannon	0.0899207
Laurie	0.089788
Mona	0.0895542
Marie	0.0889263
Paula	0.0885949
Nina	0.0885119
Elizabeth	0.0878234
Sophie	0.087475
Christina	0.087292
Audrey	0.0871409
Elena	0.0870945
Hannah	0.0869184
sandy	0.0868909
Vanessa	0.0862618
Olivia	0.0860802
Kate	0.08548
Pamela	0.0854459
Betsy	0.0852488
Renee	0.0852265
Erica	0.0849875
Melanie	0.0848708
Samantha	0.0847727
Wanda	0.0847092
Sheila	0.0845712
Lucia	0.0845515
Meg	0.0841167
Molly	0.0839787
Jackie	0.0834353
heather	0.0831812
Sharon	0.0828198
Emily	0.0827873
Marcia	0.0827735
Lyn	0.0827523
Cynthia	0.0826189
Danielle	0.0825899
Amanda	0.0824901
Catherine	0.0822649
Katherine	0.0822611
Natalie	0.0819029
Larry	0.0810879
Lucille	0.0810057
Michael	0.0808711
Camille	0.0808211
"Queen Noor"	0.0806922
Rhonda	0.080151
"Carolyn Bessette Kennedy"	0.0799062
Leslie	0.0795969
Roberta	0.0790415
Chris	0.0789133
Heidi	0.0785272
Roger	0.078525
Jeanne	0.0781924
becky	0.0781281
Karenna	0.0780949
Robin	0.0775648
Norma	0.0773524
Claire	0.0769849
Alex	0.0768303
John	0.0768047
Carrie	0.076606
Jenna	0.0764831
Louise	0.0764601
Winnie	0.076358
hazel	0.0762378
Robert	0.0759784
))
("Barbara Boxer" (desc 7790.64) (sims
"Dianne Feinstein"	0.272934
"Frank Lautenberg"	0.206558
"Nancy Pelosi"	0.201394
"Tom Harkin"	0.191278
"Bob Kerrey"	0.185758
"Harry Reid"	0.181616
"Paul Coverdell"	0.180443
"Kay Bailey Hutchison"	0.177326
"Bob Graham"	0.17668
"Daniel Patrick Moynihan"	0.175301
"Henry Waxman"	0.17111
"Patty Murray"	0.169401
"Russell Feingold"	0.165894
"John Kerry"	0.162456
"Patrick Leahy"	0.158535
"Maxine Waters"	0.157901
"Robert Torricelli"	0.157676
"Edward M. Kennedy"	0.157394
"Charles Schumer"	0.157121
"Paul Wellstone"	0.155712
"Charles Robb"	0.154367
"George Miller"	0.151955
"Lauch Faircloth"	0.145894
"Mary Landrieu"	0.143634
"Joseph Lieberman"	0.142541
"Alfonse D'Amato"	0.141523
"John Breaux"	0.141514
"Gray Davis"	0.140023
"Carl Levin"	0.139962
"John Ashcroft"	0.137805
"Edward Kennedy"	0.136173
"Ernest Hollings"	0.135524
"Robert C. Byrd"	0.133961
"Charles Grassley"	0.13391
"Slade Gorton"	0.133044
"Ann Richards"	0.131988
"Jon Kyl"	0.130952
"Robert Byrd"	0.130083
"Richard Bryan"	0.129816
"Loretta Sanchez"	0.129289
"Byron Dorgan"	0.128855
"Charles E. Schumer"	0.126024
"Bill Frist"	0.124065
Feinstein	0.123392
"Spencer Abraham"	0.122305
"Pete Wilson"	0.120416
"Evan Bayh"	0.120087
"Judd Gregg"	0.120014
"Ted Kennedy"	0.119591
"Richard Durbin"	0.119219
"Robert Bennett"	0.119167
"Pete Domenici"	0.118603
"Barbara Mikulski"	0.118442
"Christopher Dodd"	0.118377
"Joseph Biden"	0.117898
"Herb Kohl"	0.116813
"Tom Daschle"	0.116089
"Max Baucus"	0.114625
"Connie Mack"	0.114136
"Sam Nunn"	0.113855
"Mario Cuomo"	0.113368
"Tom Campbell"	0.112971
"John Edwards"	0.112694
"Rick Santorum"	0.110278
"Ron Wyden"	0.108953
"Olympia Snowe"	0.108638
"Dennis Vacco"	0.108165
D-Calif.	0.106615
"Zoe Lofgren"	0.106287
"Blanche Lincoln"	0.106169
"Mitch McConnell"	0.106157
"Arlen Specter"	0.105663
"Orrin Hatch"	0.105504
"Phil Gramm"	0.1053
"Sam Brownback"	0.105139
"George McGovern"	0.104699
"Joseph I. Lieberman"	0.103569
"Russ Feingold"	0.102848
"James Jeffords"	0.102845
"Charles Rangel"	0.102591
"Kit Bond"	0.102346
"John Dingell"	0.10181
"Joe Lieberman"	0.100854
"Tim Johnson"	0.0995446
"David Dreier"	0.0993781
"Richard Lugar"	0.0980988
Torricelli	0.0966209
"Olympia J. Snowe"	0.0964839
"Gary Locke"	0.0959714
"Fred Thompson"	0.0956625
"Mike DeWine"	0.0956231
"Bob Smith"	0.0955232
"Bill Bradley"	0.0938146
"Peter Fitzgerald"	0.0934711
"Richard Shelby"	0.0931565
"Dan Coats"	0.092151
"George Pataki"	0.0916739
"Paul Patton"	0.091665
"John Conyers"	0.0915513
"Dan Lungren"	0.09102
"Max Cleland"	0.0907146
"Conrad Burns"	0.0889441
"Ben Nighthorse Campbell"	0.0876862
"Wayne Allard"	0.0873116
"Gordon Smith"	0.0864618
"Gary Hart"	0.0864146
Moynihan	0.0861971
Pelosi	0.0855974
"Jesse Helms"	0.0837055
"Roy Barnes"	0.0836303
"Dick Durbin"	0.0835472
"Willie Brown"	0.0834096
"Mel Carnahan"	0.0830121
"Chuck Hagel"	0.0829417
"Susan Collins"	0.0829073
"Mike Foster"	0.0829028
"Bill Lockyer"	0.0825608
"Barry Goldwater"	0.0822532
"Don Nickles"	0.0817545
"Rick Lazio"	0.0813341
"Barney Frank"	0.0806431
"Frank Murkowski"	0.0802066
"John McCain"	0.0801088
"John Chafee"	0.0800757
"Richard Gephardt"	0.0799889
Schumer	0.0799149
Vacco	0.0799066
D-Vt.	0.0798699
"Chuck Schumer"	0.0792703
"James Rogan"	0.078515
Gorton	0.0782062
"Lloyd Doggett"	0.078111
"Dale Bumpers"	0.0779189
"Robert Menendez"	0.0778626
R-Ariz.	0.0768165
"George Mitchell"	0.0752867
"Lawton Chiles"	0.0750581
"Tom Hayden"	0.0749591
"Jeanne Shaheen"	0.0749418
Gramm	0.0743441
"Mary Bono"	0.0742282
"Biljana Plavsic"	0.074197
D'Amato	0.0741823
Hollings	0.0740533
"Paul Tsongas"	0.0737849
"Howard Baker"	0.0737148
"Tim Hutchinson"	0.0732465
"Jim Hodges"	0.0731027
"Bill McCollum"	0.073004
boxer	0.0729503
"Jim Florio"	0.0722466
"Lloyd Bentsen"	0.0718882
"Rod Grams"	0.0716012
"Strom Thurmond"	0.0715505
"Larry Craig"	0.0714596
"Kent Conrad"	0.0714141
"Bob Barr"	0.0709699
"Tom Vilsack"	0.0703025
"Jim Bunning"	0.0702147
"Carolyn McCarthy"	0.0700114
"David Bonior"	0.0699882
"Ted Stevens"	0.0699575
Mauro	0.0699392
"John Conyers Jr."	0.0699059
"William Roth"	0.0696136
"Christie Whitman"	0.0696043
"Bob Dole"	0.0693906
"Al D'Amato"	0.0693324
Vallone	0.0692347
"Buddy MacKay"	0.0692216
"Fob James"	0.0690578
"Bill Thomas"	0.0690347
"John Danforth"	0.0688361
"Jeff Sessions"	0.0687404
"Martin Frost"	0.0685168
Ashcroft	0.0684672
Helms	0.0683658
D-Md.	0.0681199
"Garry Mauro"	0.0678872
D-Mont.	0.0678186
Lautenberg	0.0674429
"Zell Miller"	0.0674165
"Sheila Jackson Lee"	0.0673164
"Trent Lott"	0.0672655
"Robert F. Kennedy"	0.0670889
incumbent	0.0668768
"Jim Jeffords"	0.0668295
Councilman	0.0668076
"House Majority Whip Tom DeLay"	0.0662783
"Al Gore"	0.065586
Comptroller	0.0654073
"John Lewis"	0.0653185
"John Warner"	0.0651397
"Geraldine Ferraro"	0.0644595
"James Inhofe"	0.0638052
"Jane Hull"	0.0636906
"Jerrold Nadler"	0.0636247
Congressman	0.0633806
"Eliot Spitzer"	0.063317
"Jim Hunt"	0.0629991
))
("Barbara Bush" (desc 3496.24) (sims
"Laura Bush"	0.199351
"Graca Machel"	0.137183
"Imelda Marcos"	0.127515
"Nancy Reagan"	0.126662
Barbara	0.112079
"Eleanor Roosevelt"	0.101842
Jeb	0.100253
"Azizah Ismail"	0.0989816
Diane	0.0986034
"Jacqueline Kennedy Onassis"	0.0981185
JoAnne	0.0973255
"Indira Gandhi"	0.0968065
Suzanne	0.0967432
Millie	0.0956874
Elaine	0.0947646
Dorothy	0.093413
Doris	0.0928265
Terri	0.0917449
Laura	0.0906341
Shirley	0.0901691
Tracey	0.0897149
Betty	0.0893608
Connie	0.0890329
Debbie	0.0888285
Dolores	0.0887133
"Hillary Clinton"	0.0885476
Pam	0.0880066
"Tipper Gore"	0.0879345
Lynne	0.0875409
Pauline	0.0852233
Kathy	0.0842413
Olivia	0.0827318
Teresa	0.0815696
Pryor	0.0814819
Kristin	0.0812451
Lynn	0.0806265
Theresa	0.0789807
Marguerite	0.0786061
Maureen	0.0784688
"Patsy Ramsey"	0.078314
"Jacqueline Kennedy"	0.0782675
Hester	0.0780252
Helen	0.0778378
Maria	0.0775814
Eileen	0.0774807
Susan	0.076939
Lizzie	0.0768453
Juanita	0.0768051
Janet	0.0767669
Carolyn	0.07628
Christina	0.0759608
Kathleen	0.0757939
Cindy	0.0755875
Cathy	0.075305
Tipper	0.0751886
Linda	0.0745246
Lois	0.0745123
"Hillary Rodham Clinton"	0.0744499
Brenda	0.0744151
Karen	0.0740258
Cherie	0.0738045
ANN	0.0736134
Martha	0.0734794
Edith	0.0728648
Evelyn	0.0728131
Marilyn	0.0727928
Liz	0.0722787
Mary	0.0717084
Phyllis	0.0714016
Pfeiffer	0.0713545
sandy	0.0701546
Sara	0.0694775
Sally	0.069384
Jacqueline	0.0686469
Margaret	0.0682076
Livia	0.0679191
Schiff	0.0677464
Darnell	0.0676936
"Wang Yeping"	0.0672676
Lisa	0.0669571
Kopp	0.0661817
Angela	0.0661679
Debra	0.0660471
Sheila	0.0658659
"Dudley Do-Right"	0.0654368
Rita	0.0653871
"Jeb Bush"	0.0651026
Kay	0.0650318
Rhonda	0.0649849
"Coretta Scott King"	0.0648548
Frances	0.0647446
Dora	0.0646287
Eleanor	0.0646242
Jane	0.0644944
Shannon	0.0643327
Patricia	0.0642433
Azizah	0.0640473
Esther	0.0638456
"Elizabeth Dole"	0.0637454
Margolis	0.0636471
Mona	0.0634062
Rebecca	0.0633491
Michele	0.0631865
Caroline	0.0631244
Moonves	0.0629778
Jaffe	0.0626296
"Margaret Thatcher"	0.0625051
Anne	0.0621893
Sylvia	0.0620609
Stephanie	0.0620284
Miriam	0.061963
Beverly	0.0618066
Cleese	0.0617607
Patti	0.0617156
Nina	0.0615053
Hadassah	0.0613565
Ethel	0.0613503
Gail	0.0608962
Callaway	0.0608688
Halberstam	0.0608541
Solis	0.0608249
Tsvangirai	0.060689
"George Bush"	0.0606791
Hamlin	0.0605194
Mirabella	0.0605157
Catherine	0.0605073
Edna	0.0603743
Cheryl	0.0603707
"Princess Diana"	0.0600815
Sherrill	0.0600492
Wanda	0.0598551
Sandra	0.0597313
Rosenthal	0.0595347
Whitsitt	0.0594864
Marie	0.0592661
Vicki	0.0592151
Audrey	0.059165
Marlene	0.0590689
Agnes	0.0587478
hazel	0.0586199
Smyers	0.0585036
"Carmen Electra"	0.0585015
Ainge	0.0583786
Kelleher	0.0581895
Erin	0.0581536
"David Johnson"	0.0581067
Markovic	0.0580284
Lou	0.0580026
"Lynne Cheney"	0.0578429
Hadley	0.0575073
Elle	0.057103
Judy	0.0569482
Nancy	0.0565154
Rubenstein	0.0564858
Cline	0.0563874
Roberson	0.0563781
Clements	0.0563068
Melanie	0.0563056
Allard	0.056235
"Gloria Steinem"	0.0562171
Edelstein	0.0561564
William	0.0559846
Donna	0.0558901
Rachel	0.0558114
colleen	0.0558036
Sonia	0.0557518
Toni	0.055673
"Ethel Kennedy"	0.0554937
Popovich	0.0552631
Vera	0.0552629
"Robert F. Kennedy"	0.0550343
"Edie Falco"	0.0549988
Guralnick	0.0549854
Vaughan	0.0549557
Wilkerson	0.0545962
Claudia	0.0545701
"Juan Miguel"	0.0545285
"B.J Habibie"	0.054518
Jamie	0.0543518
Keady	0.0542728
Olga	0.0542225
Jill	0.0542028
Swenson	0.05416
Peggy	0.0540301
Natalie	0.0539229
Vogel	0.0538407
Sadie	0.0538395
Sather	0.0535382
Jackie	0.0535363
Madsen	0.0535156
Klerk	0.053348
Jacobson	0.053309
Julia	0.0533037
becky	0.0532305
Soliah	0.0532106
Pruett	0.0531802
"Winnie Madikizela-Mandela"	0.0531622
Bess	0.0531318
Ted	0.0530861
Arron	0.0530091
))
("Barbara Mikulski" (desc 2232.61) (sims
"Blanche Lincoln"	0.22624
"Parris Glendening"	0.20294
"Christopher Dodd"	0.185282
"Ernest Hollings"	0.185026
"Mary Landrieu"	0.170866
"Russ Feingold"	0.141577
"Bob Graham"	0.139611
"Wayne Allard"	0.136244
"Evan Bayh"	0.132973
"Richard Bryan"	0.132535
"Bob Kerrey"	0.132459
"Kathleen Kennedy Townsend"	0.131172
"Frank Lautenberg"	0.129295
"Patty Murray"	0.125751
"Paul Wellstone"	0.125394
"Russell Feingold"	0.124222
"Byron Dorgan"	0.119946
"Max Cleland"	0.118542
"Barbara Boxer"	0.118442
"Carl Levin"	0.118389
"Max Baucus"	0.117689
"Harry Reid"	0.115138
"Patrick Leahy"	0.11365
"Carol Moseley-Braun"	0.110089
"Daniel Patrick Moynihan"	0.10856
"Slade Gorton"	0.108023
"Charles E. Schumer"	0.106675
"John Edwards"	0.106661
"Charles Robb"	0.104002
"Kent Conrad"	0.103623
"Dianne Feinstein"	0.1036
"Conrad Burns"	0.103267
"Dick Durbin"	0.102946
"Herb Kohl"	0.102037
"Tom Harkin"	0.101073
"Thad Cochran"	0.100899
"Kit Bond"	0.100892
"Olympia J. Snowe"	0.100833
"Robert C. Byrd"	0.0985968
D-S.D.	0.098153
"John Breaux"	0.0980281
"minority leader"	0.096943
"John Kerry"	0.0968799
"John Dingell"	0.0961485
"Connie Morella"	0.0959911
"Tim Hutchinson"	0.0955256
"Tom Hayden"	0.0953913
"Ron Wyden"	0.0950843
"Pat Roberts"	0.0945843
"Robert Byrd"	0.0926456
"Robert Torricelli"	0.092292
"Pete Domenici"	0.0921519
"Robert Bennett"	0.0917349
"Mike DeWine"	0.0912493
"Gary Locke"	0.0910928
"Richard Durbin"	0.0907642
"Paul Coverdell"	0.0884203
"Ben Nighthorse Campbell"	0.0882132
D-La.	0.0873188
"Rick Santorum"	0.0864063
"Howard Baker"	0.0862926
"Richard Shelby"	0.0859639
"Jeff Sessions"	0.0831426
"Nancy Pelosi"	0.0829672
"Judd Gregg"	0.0828443
"Charles Schumer"	0.0827913
"Tim Johnson"	0.0823807
"Edward M. Kennedy"	0.0822059
"Chuck Schumer"	0.0820999
"Henry Waxman"	0.081413
"Sam Nunn"	0.0811747
"Jim Jeffords"	0.0808128
"Ted Kennedy"	0.0805568
"Joseph Biden"	0.0804657
"Susan Collins"	0.0798625
"Dan Coats"	0.0794778
"Dale Bumpers"	0.0785833
"Joseph I. Lieberman"	0.0784369
"Barney Frank"	0.0782358
"Spencer Abraham"	0.0777825
"Frank Murkowski"	0.0776477
Glendening	0.0776458
"John Conyers Jr."	0.0775666
"Tom Daschle"	0.0758777
"Phil Gramm"	0.0757284
"Larry Craig"	0.0752082
"Craig Thomas"	0.0751288
"Kay Bailey Hutchison"	0.0749442
"Lincoln Chafee"	0.0748047
"American state"	0.0743091
"James Jeffords"	0.0742877
"Mitch McConnell"	0.0742595
"Richard Gephardt"	0.0741043
"Matt Salmon"	0.0730721
"Jon Kyl"	0.0726575
"Gordon Smith"	0.0723993
"John Chafee"	0.0717923
"Sam Brownback"	0.0710533
"Bob Smith"	0.0709924
"Dick Gephardt"	0.0705427
"Trent Lott"	0.0703223
"Edward Kennedy"	0.0698374
"Olympia Snowe"	0.0693417
"Paul Patton"	0.0690987
Hollings	0.0690471
"Joe Lieberman"	0.0689745
"James Inhofe"	0.0688452
D-Iowa	0.0688268
"Richard Lugar"	0.0688212
"Charles Grassley"	0.0682468
"Don Nickles"	0.0681173
"Curt Weldon"	0.0660197
"Sue Kelly"	0.0653435
"Maxine Waters"	0.0652789
"Orrin Hatch"	0.0652767
"Chuck Hagel"	0.0652087
"George Miller"	0.0647637
"Lloyd Doggett"	0.0646134
"David Bonior"	0.0645012
"Peter Fitzgerald"	0.0644882
"Loretta Sanchez"	0.0643048
"Bill Frist"	0.063971
"Joseph Lieberman"	0.0634924
"Greg Ganske"	0.0629996
"Michael Forbes"	0.0627816
"Arlen Specter"	0.062642
"Carolyn Maloney"	0.0624347
"Eastern Shore"	0.0624253
"Gary Hart"	0.0620544
"Norm Dicks"	0.0617163
Harkin	0.0615347
"John D. Rockefeller"	0.0606352
"Rod Grams"	0.0601209
"John Ashcroft"	0.0600059
"Jim Bunning"	0.0591398
Feinstein	0.0591134
D-Mich.	0.0588278
"Tom Vilsack"	0.0585794
"Jennifer Dunn"	0.057177
"Connie Mack"	0.0570058
"Ted Stevens"	0.0566707
"Robert Menendez"	0.0565834
"Jesse Helms"	0.0561027
"Strom Thurmond"	0.0560118
D-Calif.	0.0556998
Feingold	0.055486
"Zoe Lofgren"	0.0547848
"Barry Goldwater"	0.0544967
Gramm	0.0541
"John Warner"	0.0539162
"Fred Thompson"	0.0527189
"Charles Rangel"	0.0526836
"William Roth"	0.0522924
"James Rogan"	0.0519179
"George McGovern"	0.0517827
"George Mitchell"	0.0517133
Leahy	0.0516297
"Jim Hodges"	0.0515658
Mackey	0.0512659
"Lauch Faircloth"	0.0511991
"Paul Simon"	0.0501808
"Martin Frost"	0.049419
"House Majority Whip Tom DeLay"	0.0493465
"Health and Welfare Ministry"	0.0492803
"Lloyd Bentsen"	0.0491748
Musgrove	0.0482899
Rangel	0.0481204
"Zell Miller"	0.0479041
"Patrick Kennedy"	0.0477124
D-Conn.	0.0470657
Daschle	0.046931
"Sheila Jackson Lee"	0.0465301
"Robert Kennedy"	0.0462426
"Mary Bono"	0.0462007
"Steve Francis"	0.046104
Gorton	0.0460279
"Lee Hamilton"	0.0459867
"Charles Stenholm"	0.0459172
Wellstone	0.0453414
"John Lewis"	0.0452096
"George Voinovich"	0.0448053
"Tom DeLay"	0.0446868
"Mike Huckabee"	0.0445789
D-N.J.	0.0445529
"Tillie Fowler"	0.0444672
"BellSouth Corp."	0.0442197
Moynihan	0.0440068
Izetbegovic	0.0435457
"Warren Rudman"	0.043278
"Adam Smith"	0.043183
"Billy Tauzin"	0.0430746
"Robert Smith"	0.0429992
"Bill Thomas"	0.0427822
"J.C. Watts"	0.0425002
"Roy Barnes"	0.0422895
"George Nethercutt"	0.0420771
Vallone	0.0420244
"John Conyers"	0.0419712
D-N.D.	0.0419282
"Tom Coburn"	0.0418853
))
("Barbara Paulus" (desc 1771.7) (sims
"Judith Wiesner"	0.516865
"Magdalena Maleeva"	0.371928
"Nathalie Dechy"	0.370994
"Albert Portas"	0.358011
"Richard Fromberg"	0.353408
"Sarah Pitkowski"	0.352735
"Brenda Schultz-McCarthy"	0.348341
"Sabine Appelmans"	0.343309
"Barbara Schwartz"	0.334797
"Mariano Puerta"	0.331951
"Florencia Labat"	0.331001
"Younes El Aynaoui"	0.326186
"Barbara Schett"	0.325842
"Francisco Clavet"	0.323341
"Mariano Zabaleta"	0.322778
"Elena Likhovtseva"	0.319951
"Rainer Schuttler"	0.319323
"Anne Kremer"	0.318609
"Thomas Muster"	0.3184
"Arnaud Boetsch"	0.316813
"Carlos Costa"	0.313667
"Ramon Delgado"	0.312136
"Hernan Gumy"	0.310802
"Karim Alami"	0.310359
"Magui Serna"	0.306334
"Jason Stoltenberg"	0.305792
"Paola Suarez"	0.30481
"Joannette Kruger"	0.303995
"Anke Huber"	0.303267
"Sandrine Testud"	0.302026
"Silvia Farina"	0.300956
"Sargis Sargsian"	0.300883
"Felix Mantilla"	0.30054
"Nicole Pratt"	0.300301
"Alberto Costa"	0.296624
"Renzo Furlan"	0.294468
"Andrei Pavel"	0.294405
"Alberto Berasategui"	0.292597
"Dominique Van Roost"	0.291828
"Li Fang"	0.291468
"Sergi Bruguera"	0.291278
"Vincent Spadea"	0.288558
"Yayuk Basuki"	0.288076
"Ruxandra Dragomir"	0.286733
"Alexandra Fusai"	0.286125
"Nathalie Tauziat"	0.284654
"MaliVai Washington"	0.283677
"Rita Grande"	0.282701
"Naoko Sawamatsu"	0.280209
"Fabrice Santoro"	0.279843
"Iva Majoli"	0.279299
"Arantxa Sanchez-Vicario"	0.277105
"Patty Schnyder"	0.276897
"Olga Barabanschikova"	0.275753
"Conchita Martinez"	0.274264
"Julie Halard-Decugis"	0.272819
"Albert Costa"	0.271665
"Arantxa Sanchez Vicario"	0.269147
"Michael Tebbutt"	0.268699
"Arnaud Clement"	0.267809
"Byron Black"	0.266591
"Chanda Rubin"	0.264818
"Todd Woodbridge"	0.264315
"Tara Snyder"	0.26333
"Adrian Voinea"	0.263229
"Christian Ruud"	0.263227
"Magnus Norman"	0.262409
"Magnus Gustafsson"	0.262005
"Irina Spirlea"	0.261353
"Grant Stafford"	0.260753
"Franco Squillari"	0.259957
"Juan Antonio Marin"	0.259149
"Kenneth Carlsen"	0.258915
"Nicolas Escude"	0.257069
"Asa Carlsson"	0.256998
"Cara Black"	0.256916
"Ai Sugiyama"	0.256471
"Jonas Bjorkman"	0.256444
"Nicolas Lapentti"	0.256083
"Marc Rosset"	0.255115
"Andrea Gaudenzi"	0.254276
"Karina Habsudova"	0.254133
"Jerome Golmard"	0.253699
"Miriam Oremans"	0.253116
"Kimiko Date"	0.252958
"Marcelo Filippini"	0.252944
"Sjeng Schalken"	0.250591
"Filip Dewulf"	0.250529
"Mary Pierce"	0.250386
"Amanda Coetzer"	0.250012
"Mikael Tillstrom"	0.249882
"Scott Draper"	0.248829
"Natasha Zvereva"	0.247601
"Tatiana Panova"	0.247497
"Arnaud Di Pasquale"	0.245537
"Russian Yevgeny Kafelnikov"	0.245452
"Lisa Raymond"	0.243323
"Javier Sanchez"	0.242398
"David Prinosil"	0.242065
"Thomas Johansson"	0.241086
"Dominik Hrbaty"	0.23958
"Corina Morariu"	0.239559
"Amy Frazier"	0.239532
"Roger Federer"	0.239437
"Thomas Enqvist"	0.239371
"Catalina Cristea"	0.238689
"Wayne Ferreira"	0.236703
"Davide Sanguinetti"	0.235973
"Hicham Arazi"	0.235835
"Andreas Vinciguerra"	0.235557
"Jeff Tarango"	0.235347
"Tamarine Tanasugarn"	0.234874
"Alex Corretja"	0.233912
"Marcos Ondruska"	0.231962
"Julian Alonso"	0.231522
"Gianluca Pozzi"	0.230997
"Henrieta Nagyova"	0.229106
"Andrei Medvedev"	0.22881
"Petr Korda"	0.228323
"Kveta Hrdlickova"	0.228164
"Jana Novotna"	0.227801
"Mary Joe Fernandez"	0.227735
"Carlos Moya"	0.22693
"Nicolas Kiefer"	0.225693
"Kimberly Po"	0.225386
"Chris Woodruff"	0.225035
"Andrew Ilie"	0.224521
"Michael Chang"	0.224036
"Gustavo Kuerten"	0.223451
"Marat Safin"	0.222519
"Wayne Black"	0.222011
"Amelie Mauresmo"	0.220708
"Guillaume Raoux"	0.220584
"Els Callens"	0.220234
"Bohdan Ulihrach"	0.218592
"Leander Paes"	0.21778
"Richey Reneberg"	0.21736
"Goran Ivanisevic"	0.216452
"Sebastien Lareau"	0.216368
"Mark Knowles"	0.21574
"Anne-Gaelle Sidot"	0.214397
"Richard Krajicek"	0.214075
"Jonathan Stark"	0.214062
"Paul Haarhuis"	0.213666
"Slava Dosedel"	0.212444
Siemerink	0.212226
"Xavier Malisse"	0.211166
"Tim Henman"	0.211135
"Barbara Rittner"	0.211008
"Fernando Meligeni"	0.20891
"Peter Nicol"	0.208905
"Andres Gomez"	0.208542
"Mark Woodforde"	0.207765
"Rodney Eyles"	0.207002
"Steve Campbell"	0.206334
"Jim Courier"	0.205712
"Daniel Nestor"	0.205073
"Greg Rusedski"	0.20507
"Brett Steven"	0.204044
"Mahesh Bhupathi"	0.203418
"Elena Dementieva"	0.202274
"Patrick Rafter"	0.202136
"Karol Kucera"	0.201356
"American Chanda Rubin"	0.200442
"Tommy Haas"	0.200394
"Todd Martin"	0.200011
"Yevgeny Kafelnikov"	0.199936
"Neville Godwin"	0.199559
"Sebastien Grosjean"	0.199165
"Marcelo Rios"	0.198987
"Lindsay Davenport"	0.198921
"Daniel Vacek"	0.198117
"Anita Wachter"	0.196717
"Monica Seles"	0.196474
"Guy Forget"	0.19585
"Magnus Larsson"	0.19574
"Juan Carlos Ferrero"	0.194017
"Gong Zhichao"	0.191029
"Martin Damm"	0.190631
"Jiri Novak"	0.19057
"Kristie Boogert"	0.189301
"Jan-Michael Gambill"	0.187124
"Galo Blanco"	0.185947
"Camilla Martin"	0.184942
"Alex O'Brien"	0.184119
"Cedric Pioline"	0.182589
"Jacco Eltingh"	0.182513
"Dennis van Scheppingen"	0.181403
"Anna Kournikova"	0.181102
"Fung Permadi"	0.180939
"American Lindsay Davenport"	0.180602
Kroslak	0.178217
"Michael Stich"	0.177755
"Venus Williams"	0.177722
"Kim Clijsters"	0.175256
Halard-Decugis	0.174581
"Mark Philippoussis"	0.174348
"Serena Williams"	0.172967
"Denisa Chladkova"	0.172027
"Mirjana Lucic"	0.170548
"Stefan Edberg"	0.169494
"Pat Rafter"	0.169169
"Max Mirnyi"	0.168607
"Partizan Belgrade"	0.168478
"Jennifer Capriati"	0.168463
"Adriana Gersi"	0.167243
"Peter Gade Christensen"	0.165792
"Steffi Graf"	0.165572
"John Van Lottum"	0.165558
Zamalek	0.164841
"Vince Spadea"	0.163617
"Australian Mark Philippoussis"	0.163496
"Alexandra Meissnitzer"	0.16201
Swardt	0.161799
Independiente	0.161304
"Justin Gimelstob"	0.16049
Nacional	0.159344
"American Michael Chang"	0.158574
"Wang Chen"	0.157701
Berasategui	0.157459
"Renate Goetschl"	0.156942
"Jelena Dokic"	0.156265
"Ye Zhaoying"	0.154557
"Joko Suprianto"	0.153936
"Jansher Khan"	0.153915
"Boris Becker"	0.15388
"Martina Hingis"	0.15327
Dosedel	0.152535
"Xia Xuanze"	0.15206
"Zhang Ning"	0.151048
"South African Amanda Coetzer"	0.151001
Dragomir	0.150963
"Rika Hiraki"	0.150798
"Peter Rasmussen"	0.150201
"Sturm Graz"	0.150131
Ulihrach	0.149455
"Gong Ruina"	0.14762
"Lori McNeil"	0.14604
"Mia Audina"	0.145955
Stoltenberg	0.145662
Mantilla	0.145181
"Lleyton Hewitt"	0.143366
"Wang Shi-Ting"	0.142774
"American Todd Martin"	0.142602
Clavet	0.142546
"Andre Agassi"	0.141218
"Heryanto Arbi"	0.140645
"Helena Sukova"	0.140525
"Dai Yun"	0.140115
"Wayne Arthurs"	0.139295
Gremio	0.13901
"Nicklas Kulti"	0.138439
"Ong Ewe Hock"	0.138263
"American Pete Sampras"	0.137651
"Taufik Hidayat"	0.136719
"Katarina Studenikova"	0.133008
Bruguera	0.132709
"Jean-Philippe Gatien"	0.131087
"American Andre Agassi"	0.129201
Sugiyama	0.127006
Sanchez-Vicario	0.125392
Corretja	0.125179
"Hermann Maier"	0.125117
"Sandon Stolle"	0.124575
"Janet Lee"	0.124437
"Paul Goldstein"	0.124316
"Olivier Delaitre"	0.124276
Henman	0.12353
Enqvist	0.12189
"Mats Wilander"	0.12137
Raoux	0.121281
Kafelnikov	0.120843
"Diego Nargiso"	0.120683
Novotna	0.119974
"River Plate"	0.118941
"Li Ju"	0.118765
"Susi Susanti"	0.1186
"Ge Fei"	0.118167
Brondby	0.118124
"Sanchez Vicario"	0.117894
Anderlecht	0.11772
Testud	0.117162
"Pete Sampras"	0.11713
Kucera	0.117085
Klagenfurt	0.116912
Majoli	0.116773
Seles	0.116669
"Werder Bremen"	0.116125
Mauresmo	0.116097
"Jimmy Connors"	0.115946
"Rashid Sidek"	0.115705
Kuerten	0.115506
Coetzer	0.115296
"Sandra Kleinova"	0.115083
Schnyder	0.114076
Hingis	0.113685
"Boca Juniors"	0.113315
"DON JOHNSON"	0.112955
Hendrawan	0.112912
rios	0.11278
"Phenix City"	0.111775
Moya	0.11143
Cruzeiro	0.111118
"Thomas Stangassinger"	0.111025
"Budi Santoso"	0.110296
"Spartak Moscow"	0.110155
"Olympiakos Piraeus"	0.110118
Haarhuis	0.109977
"Olympique Marseille"	0.109866
"Vladimir Samsonov"	0.109852
Palmeiras	0.109572
Penarol	0.109359
"Le Defi Francais"	0.108241
Rosset	0.107629
Korda	0.106928
"Slavia Prague"	0.10652
"Wang Nan"	0.106485
"AEK Athens"	0.105816
Susanti	0.105625
Ferreira	0.105245
Olympiakos	0.105094
Bjorkman	0.104771
Zvereva	0.104549
Rusedski	0.104223
"Alexandra Stevenson"	0.103899
"Larisa Neiland"	0.103863
Olimpia	0.102616
Safin	0.102547
"Colo Colo"	0.10198
Pioline	0.101427
Ivanisevic	0.101321
"Velez Sarsfield"	0.10131
Atalanta	0.100621
"Schalke @@"	0.100045
))
("Barbara Rittner" (desc 1298.68) (sims
"Rainer Schuttler"	0.409163
"Anne Kremer"	0.341779
"Nicole Pratt"	0.334011
"Olga Barabanschikova"	0.330334
"Sarah Pitkowski"	0.329946
"Catalina Cristea"	0.329895
"Paola Suarez"	0.327242
"Asa Carlsson"	0.31305
"Neville Godwin"	0.307635
"Magui Serna"	0.306465
"Albert Portas"	0.3063
"Tara Snyder"	0.305946
"Christian Ruud"	0.304877
"Nathalie Dechy"	0.300983
"Xavier Malisse"	0.296485
"Hernan Gumy"	0.293575
"Adrian Voinea"	0.291613
"Franco Squillari"	0.290993
"Joannette Kruger"	0.288533
"Marcos Ondruska"	0.288207
"Arnaud Di Pasquale"	0.287794
"Mariano Zabaleta"	0.286792
"Els Callens"	0.285097
"Steve Campbell"	0.284061
"Marcelo Filippini"	0.283973
"David Prinosil"	0.282638
"Michael Tebbutt"	0.282606
"Alexandra Fusai"	0.280796
"Ramon Delgado"	0.280699
"Ruxandra Dragomir"	0.279413
"Nicolas Escude"	0.278286
"Andreas Vinciguerra"	0.27804
"Florencia Labat"	0.277949
"Grant Stafford"	0.276968
"Rita Grande"	0.275984
"Tatiana Panova"	0.275199
"Magdalena Maleeva"	0.274836
"Andrei Pavel"	0.274184
"Anne-Gaelle Sidot"	0.272166
"Cara Black"	0.271573
"Juan Antonio Marin"	0.270363
"Naoko Sawamatsu"	0.269901
"Barbara Schwartz"	0.269176
"Kim Clijsters"	0.266707
"Jeff Tarango"	0.264335
"Arnaud Boetsch"	0.264281
"Jerome Golmard"	0.262965
"Miriam Oremans"	0.262037
"Mikael Tillstrom"	0.2616
"Vincent Spadea"	0.259804
"Carlos Costa"	0.25979
"Younes El Aynaoui"	0.259595
"Andrew Ilie"	0.256996
"Karim Alami"	0.256755
"Sargis Sargsian"	0.255364
"Renzo Furlan"	0.254766
"Kristie Boogert"	0.254117
"Elena Dementieva"	0.253374
"Jonathan Stark"	0.25207
"Silvia Farina"	0.251549
"Richard Fromberg"	0.247705
"Amy Frazier"	0.244928
"Tamarine Tanasugarn"	0.244519
"Kimberly Po"	0.242414
"Janet Lee"	0.242081
"Elena Likhovtseva"	0.241763
"Max Mirnyi"	0.24022
"Corina Morariu"	0.239145
"Adriana Gersi"	0.238634
"Galo Blanco"	0.236848
"Judith Wiesner"	0.236241
"Rika Hiraki"	0.23542
"Arnaud Clement"	0.235129
"Kenneth Carlsen"	0.233504
"Kveta Hrdlickova"	0.232406
"Mariano Puerta"	0.232075
"Roger Federer"	0.231286
"Sebastien Grosjean"	0.229316
"Lisa Raymond"	0.226543
"Guillaume Raoux"	0.226107
"Sabine Appelmans"	0.225335
"Sjeng Schalken"	0.223587
"Dennis van Scheppingen"	0.222462
"Javier Sanchez"	0.221453
"Michael Stich"	0.220287
"Hicham Arazi"	0.220138
"Brett Steven"	0.218384
"Filip Dewulf"	0.217803
"Tommy Haas"	0.21775
"Francisco Clavet"	0.216444
"Sebastien Lareau"	0.214345
"Barbara Paulus"	0.211008
"Kimiko Date"	0.21047
"Yayuk Basuki"	0.209005
"Gianluca Pozzi"	0.208976
"Barbara Schett"	0.208282
"Nicolas Kiefer"	0.207158
"Davide Sanguinetti"	0.207151
"Anke Huber"	0.205976
"Fernando Meligeni"	0.205925
"Mirjana Lucic"	0.203764
"Scott Draper"	0.202689
"Helena Sukova"	0.202343
"Dominique Van Roost"	0.200836
"Li Fang"	0.200181
"Fabrice Santoro"	0.199062
"John Van Lottum"	0.198599
"Irina Spirlea"	0.19832
"Daniel Nestor"	0.197606
"Martin Damm"	0.197438
"Wayne Black"	0.196245
"Denisa Chladkova"	0.196208
"Leander Paes"	0.196007
"Richey Reneberg"	0.194988
"MaliVai Washington"	0.194418
"Alberto Costa"	0.193585
"Natasha Zvereva"	0.192423
"Justin Gimelstob"	0.190535
"Sandrine Testud"	0.188431
"Vince Spadea"	0.187993
"Nicolas Lapentti"	0.187483
"Juan Carlos Ferrero"	0.186982
"Ai Sugiyama"	0.186927
"Julian Alonso"	0.186406
"Paul Haarhuis"	0.186252
"Karina Habsudova"	0.18609
"Paul Goldstein"	0.185716
"Mark Knowles"	0.185189
"Alberto Berasategui"	0.184632
"Jason Stoltenberg"	0.182648
"Andrea Gaudenzi"	0.18242
"Brenda Schultz-McCarthy"	0.182179
"Jelena Dokic"	0.180575
"Chanda Rubin"	0.180457
"Amelie Mauresmo"	0.180442
"Magnus Gustafsson"	0.180036
"Andres Gomez"	0.178372
"Julie Halard-Decugis"	0.178086
"Andrei Medvedev"	0.176348
"Lori McNeil"	0.176025
"Chris Woodruff"	0.174432
"Katarina Studenikova"	0.173596
"Slava Dosedel"	0.173267
"Magnus Norman"	0.172925
"Wayne Arthurs"	0.172592
"Daniel Vacek"	0.170891
"Iva Majoli"	0.170826
"Olivier Delaitre"	0.170455
"Sergi Bruguera"	0.169549
"Wang Shi-Ting"	0.16879
"Marc Rosset"	0.168711
"Jiri Novak"	0.168375
"Jan-Michael Gambill"	0.16826
"Sandra Kleinova"	0.168004
"Alex O'Brien"	0.167439
"Mary Joe Fernandez"	0.167133
"Bohdan Ulihrach"	0.166078
"Henrieta Nagyova"	0.165773
"Patty Schnyder"	0.16577
"David Rikl"	0.161877
"Nicklas Kulti"	0.161769
"Partizan Belgrade"	0.161429
"Thomas Johansson"	0.160526
"Byron Black"	0.158513
Nacional	0.158424
"Magnus Larsson"	0.15655
"Marat Safin"	0.155489
"Dominik Hrbaty"	0.154605
"Sandon Stolle"	0.154122
"Mahesh Bhupathi"	0.15392
"Alexandra Stevenson"	0.153736
Swardt	0.153295
"Todd Woodbridge"	0.152725
"VfB Stuttgart"	0.152149
"Guy Forget"	0.151127
"Wayne Ferreira"	0.151096
"Mark Woodforde"	0.150041
Independiente	0.147247
"Diego Nargiso"	0.14721
"Felix Mantilla"	0.144528
"Conchita Martinez"	0.144235
"Martin Schmitt"	0.144022
"Borussia Moenchengladbach"	0.142283
"Larisa Neiland"	0.14213
Kroslak	0.140918
"Anna Kournikova"	0.139553
"Albert Costa"	0.139014
"Boris Becker"	0.137774
"Nathalie Tauziat"	0.136984
"Stefan Edberg"	0.136442
"Amanda Coetzer"	0.136018
"Jonas Bjorkman"	0.134741
Siemerink	0.13337
"Sandra Voelker"	0.132287
"Jennifer Capriati"	0.131363
"Thomas Muster"	0.130991
"Mats Wilander"	0.130507
"Karol Kucera"	0.129342
"Werder Bremen"	0.128894
"Bayer Leverkusen"	0.127818
"Heike Drechsler"	0.127565
"Gunda Niemann-Stirnemann"	0.127437
"Tim Henman"	0.126846
Freiburg	0.126326
Rostock	0.126196
Olimpia	0.125891
"Slovak Republic"	0.125787
"Colo Colo"	0.124234
"Jim Courier"	0.123655
Habsudova	0.122476
Bruguera	0.122427
"Richard Krajicek"	0.122407
"Arantxa Sanchez Vicario"	0.119404
"Michael Chang"	0.118853
Ulihrach	0.118443
"Mary Pierce"	0.118187
Zamalek	0.118174
"Boca Juniors"	0.117604
"Olympique Marseille"	0.117088
Duisburg	0.116507
"Todd Martin"	0.116503
"Martina Ertl"	0.11623
"Borussia Dortmund"	0.115737
"Goran Ivanisevic"	0.114557
Dragomir	0.114265
"Pat Rafter"	0.114014
"Thomas Enqvist"	0.1136
"Heinz-Harald Frentzen"	0.113513
"Martin Lee"	0.113395
"Hertha Berlin"	0.112718
"Cedric Pioline"	0.112098
Brondby	0.111524
"Carlos Moya"	0.111199
Halle	0.111128
"Petr Korda"	0.111125
"Gustavo Kuerten"	0.110529
"Serena Williams"	0.110323
Raoux	0.110196
"Marcelo Rios"	0.11002
"Hilde Gerg"	0.109014
"Steffi Graf"	0.108644
"Mark Philippoussis"	0.108578
"Vladimir Samsonov"	0.107891
"Olympiakos Piraeus"	0.107514
"AEK Athens"	0.106826
"Arantxa Sanchez-Vicario"	0.105419
Anderlecht	0.104376
"Alex Corretja"	0.104257
Estudiantes	0.103781
Dosedel	0.103093
"Greg Rusedski"	0.10249
Karlsruhe	0.101719
Wolfsburg	0.10154
"Sturm Graz"	0.100171
))
("Barbara Schett" (desc 5367.86) (sims
"Sandrine Testud"	0.366678
"Conchita Martinez"	0.351595
"Irina Spirlea"	0.330654
"Nathalie Tauziat"	0.32921
"Judith Wiesner"	0.328592
"Barbara Paulus"	0.325842
"Amanda Coetzer"	0.323572
"Patty Schnyder"	0.323101
"Natasha Zvereva"	0.313488
"Mary Pierce"	0.307856
"Iva Majoli"	0.305217
"Anke Huber"	0.3049
"Dominique Van Roost"	0.299144
"Ai Sugiyama"	0.297655
"Nathalie Dechy"	0.293746
"Julie Halard-Decugis"	0.28762
"Richard Fromberg"	0.282173
"Thomas Muster"	0.27837
"Francisco Clavet"	0.273018
"Magdalena Maleeva"	0.272799
"Alberto Berasategui"	0.2711
"Elena Likhovtseva"	0.271
"Felix Mantilla"	0.270977
"Anne-Gaelle Sidot"	0.268109
"Lisa Raymond"	0.267108
"Sabine Appelmans"	0.26476
"Arantxa Sanchez-Vicario"	0.264336
"Naoko Sawamatsu"	0.263815
"Tommy Haas"	0.263214
"Barbara Schwartz"	0.261711
"Albert Portas"	0.261617
"Mariano Puerta"	0.258803
"Thomas Enqvist"	0.256622
"Silvia Farina"	0.254779
"Ruxandra Dragomir"	0.253495
"Carlos Costa"	0.253475
"Jonas Bjorkman"	0.252339
"Richard Krajicek"	0.252284
"Hernan Gumy"	0.251111
"Younes El Aynaoui"	0.250938
"Nicolas Kiefer"	0.250801
"Nicolas Escude"	0.249026
"Sarah Pitkowski"	0.248453
"Wayne Ferreira"	0.248344
"Marc Rosset"	0.243676
"Albert Costa"	0.243386
"Christian Ruud"	0.243218
"Rainer Schuttler"	0.242764
"Miriam Oremans"	0.24272
"Andrei Medvedev"	0.241173
"Magnus Norman"	0.240578
"Magui Serna"	0.239649
"Fernando Meligeni"	0.239391
"Mariano Zabaleta"	0.239007
"Todd Martin"	0.238237
"Tim Henman"	0.237965
"Chanda Rubin"	0.237736
"Yayuk Basuki"	0.237095
"Magnus Gustafsson"	0.235118
"Mary Joe Fernandez"	0.234668
"Nicole Pratt"	0.234576
"Marcelo Rios"	0.233764
"Kenneth Carlsen"	0.233416
"Jason Stoltenberg"	0.232922
"Todd Woodbridge"	0.232834
"Lindsay Davenport"	0.232346
"Scott Draper"	0.232106
"Catalina Cristea"	0.231679
"Florencia Labat"	0.231562
"Carlos Moya"	0.231428
"Tamarine Tanasugarn"	0.231356
"Cedric Pioline"	0.231238
"Fabrice Santoro"	0.230294
"Amelie Mauresmo"	0.230072
"Anne Kremer"	0.229565
"Franco Squillari"	0.228484
"Karim Alami"	0.227988
"Serena Williams"	0.227222
"Karina Habsudova"	0.226657
"Arnaud Boetsch"	0.226534
"Goran Ivanisevic"	0.225134
"Alexandra Fusai"	0.224686
"Karol Kucera"	0.224547
"Alex Corretja"	0.224058
"Greg Rusedski"	0.223706
"Tatiana Panova"	0.223498
"Byron Black"	0.22323
"David Prinosil"	0.223091
"Anna Kournikova"	0.222629
"Adrian Voinea"	0.221791
"Galo Blanco"	0.220767
"Jennifer Capriati"	0.220243
"Joannette Kruger"	0.220163
"Mark Woodforde"	0.219948
"Elena Dementieva"	0.219343
"Hicham Arazi"	0.218535
"Paola Suarez"	0.218171
"Yevgeny Kafelnikov"	0.218113
Siemerink	0.217616
"Arantxa Sanchez Vicario"	0.217046
"Vincent Spadea"	0.216888
"Wayne Black"	0.216725
"Gustavo Kuerten"	0.216181
"Mark Philippoussis"	0.215751
"Olga Barabanschikova"	0.215643
"Andrea Gaudenzi"	0.215472
"Juan Antonio Marin"	0.215449
"Marcos Ondruska"	0.214426
"Andrei Pavel"	0.213815
"Asa Carlsson"	0.212749
"Nicolas Lapentti"	0.212694
"Guillaume Raoux"	0.212244
"Amy Frazier"	0.212225
"Tara Snyder"	0.212064
"Thomas Johansson"	0.211951
"Marat Safin"	0.211309
"Steve Campbell"	0.211226
"Filip Dewulf"	0.209873
"Ramon Delgado"	0.20978
"Arnaud Clement"	0.209454
"Barbara Rittner"	0.208282
"Brenda Schultz-McCarthy"	0.208058
"Mikael Tillstrom"	0.207099
"Sjeng Schalken"	0.206837
"American Chanda Rubin"	0.206335
"Martina Hingis"	0.206246
"Sargis Sargsian"	0.20585
"Richey Reneberg"	0.205638
"Roger Federer"	0.204996
"Kim Clijsters"	0.204565
"Jana Novotna"	0.203979
"Dominik Hrbaty"	0.203758
"Paul Haarhuis"	0.20275
"Michael Chang"	0.20239
"Davide Sanguinetti"	0.202288
"Sergi Bruguera"	0.20127
"Jerome Golmard"	0.201198
"Venus Williams"	0.200838
"Arnaud Di Pasquale"	0.200611
"Grant Stafford"	0.19948
"Monica Seles"	0.198531
"Alberto Costa"	0.198521
"Javier Sanchez"	0.198354
"Cara Black"	0.196704
"Martin Damm"	0.195729
"Leander Paes"	0.195694
"Sebastien Grosjean"	0.19566
"Renzo Furlan"	0.194376
"Gianluca Pozzi"	0.194333
"Petr Korda"	0.191932
"Andreas Vinciguerra"	0.190717
"Corina Morariu"	0.189009
"Andrew Ilie"	0.186948
"Jeff Tarango"	0.186369
"Mark Knowles"	0.185409
"Jim Courier"	0.184846
"Rita Grande"	0.184125
"MaliVai Washington"	0.1841
"Kimiko Date"	0.183285
"Michael Stich"	0.182566
"American Lindsay Davenport"	0.182221
"Lleyton Hewitt"	0.181451
"Neville Godwin"	0.180836
"Kristie Boogert"	0.180497
"Patrick Rafter"	0.180047
"Daniel Nestor"	0.179841
"American Todd Martin"	0.179237
"Kimberly Po"	0.179202
"Steffi Graf"	0.179163
"Daniel Vacek"	0.179125
"Magnus Larsson"	0.178802
"Sebastien Lareau"	0.178003
"Mirjana Lucic"	0.177454
"Julian Alonso"	0.176883
"Michael Tebbutt"	0.176331
"Xavier Malisse"	0.17556
"Bohdan Ulihrach"	0.175474
"Mahesh Bhupathi"	0.175197
"South African Amanda Coetzer"	0.175084
"Jan-Michael Gambill"	0.174606
"Alex O'Brien"	0.174333
"Russian Yevgeny Kafelnikov"	0.173591
"Marcelo Filippini"	0.172254
"Andres Gomez"	0.171961
"Els Callens"	0.170958
"Chris Woodruff"	0.170711
"Justin Gimelstob"	0.170009
"Brett Steven"	0.169817
"Vince Spadea"	0.166035
"Slava Dosedel"	0.164102
"Anita Wachter"	0.163993
Dragomir	0.162373
"Nicklas Kulti"	0.159474
"Jelena Dokic"	0.159237
"Li Fang"	0.158011
"John Van Lottum"	0.155873
"Jonathan Stark"	0.155125
"Boris Becker"	0.154112
Stoltenberg	0.152998
"Peter Nicol"	0.152994
"Juan Carlos Ferrero"	0.151458
Mantilla	0.15047
"Andre Agassi"	0.150393
"Kveta Hrdlickova"	0.148611
"Pat Rafter"	0.147043
"Alexandra Meissnitzer"	0.146908
"Renate Goetschl"	0.146675
"Max Mirnyi"	0.145675
"Henrieta Nagyova"	0.145512
Henman	0.144981
"Guy Forget"	0.143879
Swardt	0.142106
Majoli	0.142044
"Rika Hiraki"	0.141871
"Jiri Novak"	0.141131
"Rodney Eyles"	0.140901
Clavet	0.138498
"Stefan Edberg"	0.138026
Kroslak	0.137956
"Sturm Graz"	0.135942
"Helena Sukova"	0.135885
Halard-Decugis	0.135373
"Thomas Stangassinger"	0.13066
"Lori McNeil"	0.130366
Hingis	0.12998
"Australian Mark Philippoussis"	0.129645
"Denisa Chladkova"	0.12901
"Jacco Eltingh"	0.126998
Kafelnikov	0.125393
Sugiyama	0.124695
"Hermann Maier"	0.124673
"Diego Nargiso"	0.124567
"Paul Goldstein"	0.124453
Nacional	0.124447
Sanchez-Vicario	0.124026
Corretja	0.123172
Kournikova	0.122837
Bjorkman	0.122038
"Mats Wilander"	0.121731
"Jan-Ove Waldner"	0.121593
"Wayne Arthurs"	0.121288
Schett	0.120745
Rosset	0.119491
Likhovtseva	0.118563
Kuerten	0.118455
Independiente	0.118352
"Li Ju"	0.118352
Coetzer	0.118158
"American Andre Agassi"	0.117666
"Alexandra Stevenson"	0.117486
"Olivier Delaitre"	0.117426
"Gong Zhichao"	0.117376
Testud	0.117273
"Sanchez Vicario"	0.115976
Berasategui	0.115886
"Zhang Ning"	0.115732
"Sandon Stolle"	0.115686
Davenport	0.115393
Moya	0.114286
"Pete Sampras"	0.114276
"Colo Colo"	0.114267
"Partizan Belgrade"	0.114029
"Dallas Burn"	0.113716
Bruguera	0.113052
Pioline	0.113008
Mauresmo	0.112686
"Janet Lee"	0.112477
"Dennis van Scheppingen"	0.11138
"Adriana Gersi"	0.110559
"Fung Permadi"	0.11004
Krajicek	0.109501
"Guangdong Hongyuan"	0.109246
"Wang Nan"	0.109189
"River Plate"	0.109135
"Peter Rasmussen"	0.108873
"Ong Ewe Hock"	0.107843
"Wang Liqin"	0.107186
"Chicago Fire"	0.106386
Kiefer	0.106214
Novotna	0.105909
Dosedel	0.105652
Rusedski	0.103923
"American Michael Chang"	0.103872
"Peter Gade Christensen"	0.103505
Enqvist	0.103435
Ulihrach	0.102663
Capriati	0.102577
Spirlea	0.101804
Schalken	0.101158
"Golden Hurricane"	0.100654
"Camilla Martin"	0.100603
Seles	0.100587
Kucera	0.100425
Palmeiras	0.100028
"Wang Chen"	0.100013
))
("Barbara Schwartz" (desc 1250.86) (sims
"Judith Wiesner"	0.340522
"Barbara Paulus"	0.334797
"Nicole Pratt"	0.320908
"Richard Fromberg"	0.306892
"Neville Godwin"	0.299632
"Anne Kremer"	0.289953
"Franco Squillari"	0.287271
"Sarah Pitkowski"	0.286963
"Tatiana Panova"	0.286705
"Rainer Schuttler"	0.284419
"Magui Serna"	0.282685
"Joannette Kruger"	0.276768
"Marcelo Filippini"	0.27393
"Barbara Rittner"	0.269176
"Catalina Cristea"	0.268886
"Paola Suarez"	0.268681
"Galo Blanco"	0.264382
"Florencia Labat"	0.263449
"Adrian Voinea"	0.26182
"Barbara Schett"	0.261711
"Magdalena Maleeva"	0.258298
"Amy Frazier"	0.256221
"Nathalie Dechy"	0.256184
"Christian Ruud"	0.251824
"Albert Portas"	0.250285
"Sebastien Grosjean"	0.250081
"Xavier Malisse"	0.249138
"Ramon Delgado"	0.24818
"Sabine Appelmans"	0.247773
"Rita Grande"	0.247729
"Steve Campbell"	0.247059
"Mariano Zabaleta"	0.244362
"Kim Clijsters"	0.23963
"Mikael Tillstrom"	0.236492
"Kenneth Carlsen"	0.235518
"Fernando Meligeni"	0.233784
"Miriam Oremans"	0.233563
"Chris Woodruff"	0.233346
"Elena Dementieva"	0.233257
"Marcos Ondruska"	0.233256
"Andreas Vinciguerra"	0.233121
"Tara Snyder"	0.229711
"Paul Goldstein"	0.226743
"Kveta Hrdlickova"	0.223434
"Sargis Sargsian"	0.223403
"Olga Barabanschikova"	0.221088
"Jonathan Stark"	0.218086
"Hernan Gumy"	0.21748
"Arnaud Di Pasquale"	0.216614
"Julian Alonso"	0.216304
"Sjeng Schalken"	0.214352
"Richey Reneberg"	0.214219
"Juan Antonio Marin"	0.214136
"Scott Draper"	0.212225
"Guillaume Raoux"	0.21215
"Jeff Tarango"	0.211286
"Leander Paes"	0.210558
"Karim Alami"	0.209494
"Tamarine Tanasugarn"	0.209103
"Jelena Dokic"	0.208946
"Nicolas Escude"	0.208249
"Andrew Ilie"	0.207702
"Andrei Pavel"	0.206931
"Renzo Furlan"	0.206855
"Jerome Golmard"	0.206478
"Jason Stoltenberg"	0.205934
"Sebastien Lareau"	0.204928
"Rika Hiraki"	0.204073
"Asa Carlsson"	0.203046
"Roger Federer"	0.202142
"Javier Sanchez"	0.201586
"Alexandra Fusai"	0.198876
"Arnaud Boetsch"	0.19839
"Andrei Medvedev"	0.196635
"Vincent Spadea"	0.194509
"Francisco Clavet"	0.19436
"Silvia Farina"	0.193398
"Corina Morariu"	0.192567
"Anita Wachter"	0.192487
"Filip Dewulf"	0.192298
Zamalek	0.191945
"Arnaud Clement"	0.190211
"Naoko Sawamatsu"	0.187314
"Younes El Aynaoui"	0.186367
"Alexandra Stevenson"	0.18562
"Slava Dosedel"	0.185263
"Kristie Boogert"	0.18384
"Daniel Nestor"	0.183078
"Thomas Muster"	0.182505
"Mariano Puerta"	0.181897
Independiente	0.180097
"Lori McNeil"	0.18005
Dragomir	0.1798
"Janet Lee"	0.178483
"Davide Sanguinetti"	0.177927
"Els Callens"	0.177659
"Elena Likhovtseva"	0.177592
"Magnus Gustafsson"	0.176809
Schalken	0.176686
"Gianluca Pozzi"	0.176476
"Martin Lee"	0.175924
"David Prinosil"	0.175179
"Brett Steven"	0.17493
"Denisa Chladkova"	0.174762
"Alberto Costa"	0.173704
"Fabrice Santoro"	0.173487
"Dennis van Scheppingen"	0.173005
Nacional	0.1725
"Grant Stafford"	0.172446
"Ai Sugiyama"	0.172248
"Chanda Rubin"	0.172175
"John Van Lottum"	0.171738
"Dominique Van Roost"	0.171508
Ulihrach	0.171325
"Tommy Haas"	0.170322
Swardt	0.170266
"Li Fang"	0.170225
"Mirjana Lucic"	0.170212
"Alberto Berasategui"	0.169121
"Ruxandra Dragomir"	0.168674
"Lisa Raymond"	0.168189
"Mark Knowles"	0.166999
"Helena Sukova"	0.166936
"Renate Goetschl"	0.162411
"Sturm Graz"	0.162224
"Guy Forget"	0.16188
"Jiri Novak"	0.160884
"Thomas Stangassinger"	0.1604
Meligeni	0.159312
"Andrea Gaudenzi"	0.158925
"Max Mirnyi"	0.157701
"Wayne Black"	0.156862
"Adriana Gersi"	0.156763
"Alexandra Meissnitzer"	0.156722
"Michael Tebbutt"	0.15561
"Carlos Costa"	0.155458
Dosedel	0.154997
"Justin Gimelstob"	0.154683
Raoux	0.154365
"Jan-Michael Gambill"	0.153984
"Anne-Gaelle Sidot"	0.153663
"Kimberly Po"	0.153347
"Partizan Belgrade"	0.152837
"Todd Woodbridge"	0.152754
"Sandon Stolle"	0.152351
Habsudova	0.152085
"Cara Black"	0.151501
"Marat Safin"	0.150211
"Stefan Edberg"	0.149619
"Amelie Mauresmo"	0.149035
"Alex O'Brien"	0.148786
"Hicham Arazi"	0.147799
Penarol	0.146481
"Wayne Arthurs"	0.145086
"Mark Woodforde"	0.143789
"Karina Habsudova"	0.143688
"Albert Costa"	0.142292
"Michael Stich"	0.142226
"Wayne Ferreira"	0.14169
"Marc Rosset"	0.141175
"Sandra Kleinova"	0.140741
"Daniel Vacek"	0.140705
Prinosil	0.140694
"Thomas Johansson"	0.140476
"Hermann Maier"	0.139641
"Magnus Norman"	0.13925
"David Rikl"	0.138189
"Olympiakos Piraeus"	0.137828
Kroslak	0.137342
"Anke Huber"	0.136736
"MaliVai Washington"	0.136584
"Henrieta Nagyova"	0.135586
Sidot	0.135489
"Nicolas Kiefer"	0.134481
Lucic	0.133026
"Jean-Philippe Gatien"	0.133008
"Brenda Schultz-McCarthy"	0.132951
"Katarina Studenikova"	0.131939
Stoltenberg	0.131863
"Vince Spadea"	0.131491
"Felix Mantilla"	0.130562
"Olivier Delaitre"	0.129537
"VfB Stuttgart"	0.129376
"Olympique Marseille"	0.129325
"Jonas Bjorkman"	0.129119
"Bradford City"	0.128653
"Bohdan Ulihrach"	0.128599
Haarhuis	0.1281
Besiktas	0.127899
Olimpia	0.127743
Brondby	0.127151
"Deportivo Coruna"	0.126634
"Mary Joe Fernandez"	0.126301
"Dominik Hrbaty"	0.125943
"Paul Haarhuis"	0.125612
Gremio	0.125428
"Conchita Martinez"	0.125282
"Magnus Larsson"	0.125027
"Slavia Prague"	0.124824
"Yayuk Basuki"	0.124556
"Julie Halard-Decugis"	0.124474
Damm	0.124293
"Natasha Zvereva"	0.124044
"Mahesh Bhupathi"	0.123986
"Martin Damm"	0.123151
"Boca Juniors"	0.122871
Klagenfurt	0.12262
"Sergi Bruguera"	0.122543
Schett	0.122535
"Wang Shi-Ting"	0.122275
"Richard Krajicek"	0.122147
Fenerbahce	0.121903
Graz	0.12143
"Irina Spirlea"	0.12131
Auxerre	0.121105
"Mats Wilander"	0.120735
Bruguera	0.12065
"Juan Carlos Ferrero"	0.119736
"Nicolas Lapentti"	0.119342
Sugiyama	0.119155
"Coventry City"	0.118851
"Andres Gomez"	0.118744
"Petr Korda"	0.118513
"Jennifer Capriati"	0.117375
"Lleyton Hewitt"	0.11717
"Chen Jing"	0.114661
"Michael Chang"	0.114426
Anderlecht	0.114353
Testud	0.114293
"Kimiko Date"	0.113796
"Spartak Moscow"	0.113685
"Paris St Germain"	0.113164
"Arantxa Sanchez-Vicario"	0.113131
"Velez Sarsfield"	0.112864
"Zoran Primorac"	0.112582
"Schalke @@"	0.112559
"Sandrine Testud"	0.112288
"Cedric Pioline"	0.112156
"Guangzhou Apollo"	0.111836
Mauresmo	0.111782
Lareau	0.111586
"Nicklas Kulti"	0.111546
"Byron Black"	0.110854
"Thomas Enqvist"	0.110712
Likhovtseva	0.110575
Estudiantes	0.110559
Rosenborg	0.110089
Heerenveen	0.109979
"River Plate"	0.10979
"Gong Ruina"	0.108975
"Athletic Bilbao"	0.108911
Sevilla	0.108525
Bastia	0.108457
Spadea	0.107344
Spartak	0.106931
"Celta Vigo"	0.106784
Siemerink	0.106659
Schalke	0.106551
"Patty Schnyder"	0.106388
"Slovak Republic"	0.106137
Benfica	0.106076
"Mark Philippoussis"	0.105998
"Larisa Neiland"	0.104756
"Todd Martin"	0.10311
"Peter Rasmussen"	0.102729
Kaiserslautern	0.102728
Palmeiras	0.102347
x@@	0.101697
"Iva Majoli"	0.101617
Enqvist	0.101428
Gambill	0.101211
"Diego Nargiso"	0.101081
"Dalian Wanda"	0.100846
Korda	0.100799
"Werder Bremen"	0.100427
))
("Barbara Walters" (desc 7543.06) (sims
"Diane Sawyer"	0.151101
"Sam Donaldson"	0.150203
"Charles Gibson"	0.143614
"Matt Lauer"	0.13699
"Dan Rather"	0.132934
"Larry King"	0.121018
"Connie Chung"	0.112887
"Mike Wallace"	0.111863
"Tim Russert"	0.111041
Walters	0.108629
Nightline	0.104049
"Good Morning America"	0.0983732
"Katie Couric"	0.0974048
"Jim Gray"	0.0885535
"Tom Brokaw"	0.086663
"Oprah Winfrey"	0.0864628
"Geraldo Rivera"	0.0850013
"Peter Jennings"	0.0845488
Oprah	0.0782149
"Joan Rivers"	0.0767153
"Jay Leno"	0.0730946
"Sports Night"	0.0712808
"World News Tonight"	0.0707922
"Dateline NBC"	0.0702621
"Cokie Roberts"	0.0696948
"Rosie O'Donnell"	0.0681302
"Politically Incorrect"	0.0681116
"Regis Philbin"	0.0680585
"Jenny Jones"	0.0677155
Sawyer	0.0676398
"David Letterman"	0.0675212
CBS-TV	0.0668983
"Night Football"	0.0632136
"Conan O'Brien"	0.0626965
"news program"	0.0626314
"Bryant Gumbel"	0.0623626
"Peter Arnett"	0.0614203
"Voter News Service"	0.0610724
correspondent	0.0610092
"Who Wants to Be a Millionaire"	0.0609279
"Ted Koppel"	0.0606257
"Home Improvement"	0.0600388
"Christiane Amanpour"	0.0595113
"Howard Stern"	0.0581732
"Kathie Lee Gifford"	0.0579078
"Dow Jones Newswires"	0.0575413
"CBS News"	0.057535
"Golf Channel"	0.0571276
NBC-TV	0.0570539
"Don Imus"	0.0569276
"El Pais"	0.0567694
Izvestia	0.056528
"Don Hewitt"	0.055133
"Le Figaro"	0.05421
"Jerry Springer"	0.0539588
"Spin City"	0.0532624
Broaddrick	0.0529337
"Bob Costas"	0.0528577
ABC-TV	0.0527061
DiCaprio	0.0520667
"David Frost"	0.0515235
Letterman	0.0509307
"Bill Maher"	0.0508931
"British Broadcasting Corp."	0.0506618
"Andrei Babitsky"	0.0505409
Jonah	0.0503152
"Edward R. Murrow"	0.0502671
"Bill Moyers"	0.050264
"TV network"	0.050127
"Walter Cronkite"	0.0500916
"George Will"	0.0498172
Russert	0.0495977
"television reporter"	0.049411
Azizah	0.0490408
Couric	0.0483256
"NYPD Blue"	0.0479915
Jovanovic	0.0479897
"National Enquirer"	0.0479673
"Israel Radio"	0.0478763
"Jon Stewart"	0.0478317
interviewer	0.0472914
BBC	0.0465852
Currie	0.0462014
Roseanne	0.046166
Ramseys	0.045487
"Linda Tripp"	0.0454864
"news show"	0.0454426
"Vernon Jordan"	0.0454426
"Liza Minnelli"	0.0453395
"Gloria Steinem"	0.0453092
APTN	0.0449825
"Who Wants"	0.0447056
"Josephine Baker"	0.044679
Webcast	0.0446232
"Arizona Republic"	0.0445587
"Shao Yunhuan"	0.0445344
newsmagazine	0.0444618
Cleese	0.0444205
Ikeda	0.0437566
"Fox TV"	0.0436618
"Mary Tyler Moore"	0.0436212
"Bill Cosby"	0.0435193
"Brian Williams"	0.0433676
GUMBEL	0.0433285
"Voice of America"	0.0431525
"Channel @"	0.0428674
"Laura Schlessinger"	0.0428126
Fernandes	0.0427915
"Hillary Clinton"	0.0425066
O'Donnell	0.042105
hourlong	0.0420856
CNBC	0.0418012
"Ted Danson"	0.0416057
Winfrey	0.0414106
Ruehe	0.04141
"Jim Lehrer"	0.0413927
CNN/SI	0.041384
"TV station"	0.0412044
"Fox News Channel"	0.0411351
"talking head"	0.0411231
"Sports Illustrated"	0.0410137
Dateline	0.0408087
Longo	0.040564
"Cox Newspapers"	0.0405179
"game show"	0.0404602
"Johnny Carson"	0.040412
"Kansas City Star"	0.0404024
"Rush Limbaugh"	0.040369
"Cable News Network"	0.0403136
"FBI agent"	0.0401264
"Ken Starr"	0.0400166
))
(barbarian (desc 3411.81) (sims
marauder	0.0595038
aggressor	0.0564878
"police state"	0.0514067
swashbuckler	0.0503955
sentry	0.047842
fiend	0.047429
adopters	0.0471511
"sitting duck"	0.0449034
"Blade Runner"	0.0447656
"ball club"	0.0428515
Hick	0.0427316
mercenary	0.0423897
"Phenix City"	0.0423497
demon	0.0422452
Braugher	0.042063
"paying attention"	0.0419514
Nicol	0.0411667
bullfighter	0.0410102
"Lara Croft"	0.0407104
Ferris	0.0402003
"Miami Fusion"	0.0401754
))
(barbarism (desc 2479.13) (sims
barbarity	0.140473
inhumanity	0.122524
brutality	0.0988556
repression	0.0920709
cruelty	0.0818631
intolerance	0.0810868
atrocity	0.0810387
"mass murder"	0.0797563
savagery	0.0793383
injustice	0.0792103
cowardice	0.0780675
Indiscipline	0.0779038
appeasement	0.0741759
lawlessness	0.0722774
irresponsibility	0.0715281
self-destruction	0.0677708
criminality	0.0668045
hypocrisy	0.06515
oppression	0.0641342
incompetence	0.0641189
pogrom	0.0636282
cleansing	0.0634808
malignancy	0.0622499
depravity	0.0619788
homophobia	0.0614206
Fascism	0.0611217
stupidity	0.0607652
infanticide	0.0601457
tyranny	0.0595252
"storm trooper"	0.0584666
hooliganism	0.0583977
idiocy	0.0580264
mistreatment	0.0578695
irrationality	0.0577943
"crime wave"	0.0577744
perversion	0.057738
bigotry	0.0575791
persecution	0.0573744
hubris	0.0571179
dishonesty	0.0569498
belligerence	0.0565649
greed	0.0556319
malfeasance	0.0555918
arrogance	0.0554142
martyrdom	0.0547022
"Serbian Orthodox Church"	0.0542098
factionalism	0.0541349
U-boat	0.0539722
cynicism	0.0537781
immorality	0.0533713
avarice	0.0531239
mutilation	0.0529164
banditry	0.0526264
treachery	0.0525684
maltreatment	0.0525617
misogyny	0.0520146
selfishness	0.0515003
xenophobia	0.0509223
incitement	0.0503808
"Coptic Christians"	0.0500374
"war crime"	0.0496899
decisiveness	0.049332
intransigence	0.0490746
"child abuse"	0.0488218
vandalism	0.0487445
"hundred million dollars"	0.0487419
"possible action"	0.0486435
foolishness	0.0485568
extremism	0.0484214
cronyism	0.0477613
hegemonism	0.0476596
expansionism	0.0470482
folly	0.0469049
nationalism	0.0467179
degradation	0.0465642
coercion	0.0465067
self-expression	0.0464801
carnage	0.0459327
disunity	0.0458765
brinkmanship	0.0453624
looting	0.0451944
condescension	0.0450505
self-consciousness	0.0450122
insanity	0.0447567
globalisation	0.0446912
non-Albanians	0.0446618
anti-Semitism	0.0445739
insensitivity	0.0445444
"feminist movement"	0.0444323
"name calling"	0.0441436
despotism	0.044017
"civil disobedience"	0.0440027
heroism	0.0439926
bloodletting	0.0439762
malice	0.0437701
enmity	0.0436748
hegemony	0.0436167
recklessness	0.0436165
permissiveness	0.0435439
deception	0.0433572
slander	0.0432179
nationhood	0.0431267
Moorer	0.0430783
anarchy	0.0429071
intercourse	0.0426426
disloyalty	0.0421628
manoeuvre	0.0419707
imperialism	0.0419469
militancy	0.0418287
jealousy	0.0417677
"air attack"	0.0416424
"police action"	0.0416042
thuggery	0.0414695
randomness	0.0414612
"power politics"	0.0414496
"Ethnic Albanians"	0.0412954
chicanery	0.0411123
wickedness	0.0411027
"military campaign"	0.0410357
reprisal	0.0408283
"Criminal Investigation Department"	0.0407314
"brain drain"	0.040389
lunacy	0.0402164
McCarthyism	0.0401552
"muscular dystrophy"	0.0400461
))
(barbarity (desc 2856.05) (sims
inhumanity	0.1599
barbarism	0.140473
brutality	0.125742
cruelty	0.110278
"mass murder"	0.107561
butchery	0.10669
atrocity	0.101307
repression	0.0991401
oppression	0.0951596
savagery	0.0942666
hooliganism	0.091851
depravity	0.0884197
maltreatment	0.0864395
cleansing	0.0853173
terror	0.0844168
mutilation	0.0841971
Indiscipline	0.0823434
lawlessness	0.0818596
thuggery	0.0802906
persecution	0.0793111
incitement	0.0748438
injustice	0.074257
subjugation	0.0740754
"high treason"	0.0725557
hatred	0.0724142
intolerance	0.0723253
carnage	0.0709177
tyranny	0.0708358
provocation	0.0684887
criminality	0.0670046
treachery	0.0665099
bloodshed	0.0664965
cowardice	0.0664154
ordinariness	0.0661742
bloodletting	0.0645289
incest	0.0636836
sadism	0.0633103
misogyny	0.0632418
extremism	0.0632031
"war crime"	0.0630784
victimization	0.0616097
idolatry	0.061503
mistreatment	0.0612563
looting	0.0604557
wickedness	0.0604343
harassment	0.0599864
blasphemy	0.0599644
anti-Semitism	0.0591885
ineptness	0.0591475
subversion	0.0590974
randomness	0.0589262
cataclysm	0.0584911
madness	0.0578132
immorality	0.0576553
intransigence	0.057575
bigotry	0.0574775
hypocrisy	0.0574516
abduction	0.0572343
inequality	0.0570887
recklessness	0.0570246
overvaluation	0.0570165
heresy	0.057001
mayhem	0.0569051
hubris	0.0568949
altruism	0.0568426
vandalism	0.0567761
hostage-taking	0.0566321
DECADENCE	0.0566289
bravery	0.0563902
sectarianism	0.0563532
unselfishness	0.0562167
irresponsibility	0.0561515
militarism	0.0554915
"child abuse"	0.0553497
vulgarity	0.0549237
anarchy	0.0548536
humiliation	0.0547129
coercion	0.054621
destabilization	0.0545596
self-destruction	0.0544018
betrayal	0.054327
artificiality	0.0543149
heroism	0.0541849
hopelessness	0.0540413
seduction	0.0539309
piety	0.0537863
despotism	0.0536945
"character assassination"	0.0535558
greed	0.0535419
disarming	0.0535016
lunacy	0.0533218
misery	0.0532424
intimidation	0.0531023
insecurity	0.0530957
malfeasance	0.0530954
dislocation	0.0529748
stupidity	0.0525101
disloyalty	0.0525014
folly	0.0523499
insanity	0.0522511
self-indulgence	0.0521032
brinkmanship	0.0520538
polarization	0.0517853
pogrom	0.0516324
plagiarism	0.0515193
travesty	0.0514526
chutzpah	0.0513911
perversity	0.0513775
martyrdom	0.0511667
foolishness	0.0509963
insensitivity	0.0507573
separatism	0.0505985
arrogance	0.0505841
Disobedience	0.0505143
partisanship	0.0505003
extermination	0.050306
misfortune	0.0498318
sexism	0.0498281
"civil disobedience"	0.0497917
delusion	0.0497376
brinksmanship	0.0495608
valor	0.0492507
dishonesty	0.0492342
absurdity	0.0491992
lovemaking	0.0489008
incompetence	0.0486748
ferocity	0.0486646
belligerence	0.0481422
immaturity	0.0480497
indignity	0.0480031
frailty	0.047621
adventurism	0.047525
"storm trooper"	0.0475024
hegemony	0.0474898
depredation	0.0473049
Fascism	0.0472456
magnificence	0.0472332
illegality	0.0470688
desolation	0.0469259
deprivation	0.0467883
"sexual harassment"	0.0467707
ugliness	0.0467621
degradation	0.0467496
gamesmanship	0.0465667
bloodbath	0.0465635
expropriation	0.0463863
defamation	0.0463255
arson	0.0462028
ravages	0.0460664
unreality	0.0460093
indecency	0.046008
blackmail	0.0459442
derring-do	0.0458059
banality	0.0456967
lynching	0.0456403
futility	0.0456265
infidelity	0.0455608
selflessness	0.04532
devastation	0.0453022
sportsmanship	0.0450946
expediency	0.0450116
generosity	0.0448865
militancy	0.0444194
narcissism	0.0443344
debauchery	0.044219
kindness	0.0441166
presumption	0.0440117
ignorance	0.0437005
homophobia	0.0435547
insubordination	0.0435409
silliness	0.0434241
abomination	0.0430926
murder-suicide	0.0430029
extortion	0.0426716
"rise to power"	0.042438
bipartisanship	0.042431
"power politics"	0.0423134
invective	0.042164
privation	0.0421012
demagoguery	0.04209
veneration	0.0419692
hyperinflation	0.0418894
fanaticism	0.0416762
decomposition	0.0413679
enchantment	0.041247
"breach of trust"	0.0412148
isolationism	0.0411424
"bombing run"	0.0411125
"vicious circle"	0.0410873
individualism	0.0410392
enslavement	0.0409884
"sexual assault"	0.0409486
opportunism	0.0408761
inkling	0.0408636
propagandist	0.0407522
"slave trade"	0.040732
shortsightedness	0.0407093
extravagance	0.0406943
statesmanship	0.0406745
pillage	0.0406359
))
(barbecue (desc 29390) (sims
picnic	0.137583
dinner	0.118081
cookout	0.114702
grill	0.106777
steak	0.102692
Hamburger	0.100784
pizza	0.0992256
lunch	0.0988718
"hot dog"	0.0970048
Chili	0.0941395
brunch	0.0930593
burgers	0.0925133
luncheon	0.0907457
meal	0.0898321
sushi	0.0892721
potluck	0.0890443
banquet	0.087283
buffet	0.0865739
sandwich	0.086495
supper	0.0863226
seafood	0.0860216
pasta	0.0855231
burger	0.0831427
"dinner party"	0.0830316
brisket	0.0829013
salad	0.0819364
concert	0.0815835
taco	0.0813275
breakfast	0.080344
cooking	0.0799866
chicken	0.0788299
"roast beef"	0.0786209
firework	0.0771445
"french fries"	0.0764971
"open house"	0.0755018
"cocktail party"	0.0753407
sausage	0.0748938
pork	0.0746543
soup	0.0737354
dish	0.0728393
gala	0.0717086
meat	0.0699886
dessert	0.069467
kebab	0.0694139
bread	0.068852
cake	0.0685849
parade	0.0684193
reunion	0.0681399
"corned beef"	0.0674955
wedding	0.0671757
gathering	0.066698
food	0.06663
spaghetti	0.0665813
snack	0.0662674
Beer	0.0660764
rib	0.0660167
drink	0.06584
popcorn	0.0649061
cuisine	0.0648636
tasting	0.0647863
pie	0.0645088
noodle	0.0640809
stew	0.0635559
celebration	0.0632206
meatloaf	0.0632116
"ice cream"	0.0627505
"chicken wing"	0.0626185
get-togethers	0.0624291
cornbread	0.0619853
festivity	0.0615773
coffee	0.0615287
vegetable	0.0614633
feast	0.0613852
"rock concert"	0.0612808
"get together"	0.0610325
bash	0.0609667
"macaroni and cheese"	0.0608541
reception	0.0607351
chop	0.0598636
festival	0.0598596
fund-raiser	0.0598513
Tamale	0.0596287
dance	0.059575
roast	0.0595189
beef	0.0594363
"prayer service"	0.0594079
cheese	0.0587148
"potato salad"	0.0586025
shrimp	0.0580174
Entertainment	0.0579021
ham	0.057884
restaurant	0.0573704
oyster	0.0571348
Cajun	0.0569457
reunions	0.0564653
"Caesar salad"	0.0564
lobster	0.056332
dumpling	0.0562919
Carnival	0.0561091
tea	0.0560867
bagel	0.0560457
pancake	0.0556674
champagne	0.0555981
eating	0.054969
"jam session"	0.0549457
gumbo	0.0549311
grilling	0.0544471
stove	0.0542475
dining	0.0542475
gardening	0.0539664
wine	0.0536579
enchilada	0.0536401
cheeseburger	0.0535947
vigil	0.0535631
pastry	0.0535495
Burrito	0.0531648
ceremony	0.0530698
sauce	0.053033
"wedding ceremony"	0.0528605
"basketball game"	0.0528352
nacho	0.0528331
cocktail	0.0528059
Cigar	0.052531
bacon	0.0524714
vegetarian	0.0523433
dancing	0.0521446
fruit	0.0520714
matinee	0.0519735
meatball	0.0515866
fish	0.0515107
lamb	0.0514757
"chicken breast"	0.0511032
holiday	0.0509029
FRY	0.0508697
tortilla	0.0507769
"peanut butter"	0.0507262
Lasagna	0.0506067
corn	0.0505763
tomato	0.0505507
appetizer	0.0505049
bean	0.0504392
Casserole	0.0497186
potato	0.0494855
poolside	0.0491125
golf	0.0490679
crawfish	0.0489896
vacation	0.0486907
lemonade	0.0484673
entree	0.0484394
veggie	0.0481937
garden	0.0479797
roasting	0.0479683
cooky	0.0478837
getaway	0.0477075
doughnut	0.0476991
exhibit	0.0476333
Pudding	0.0474935
biscuit	0.0474061
Catfish	0.047276
outdoors	0.0471574
kitchen	0.0471103
lecture	0.0470738
pageant	0.0470697
fun	0.0467809
salmon	0.0466163
"social event"	0.0463071
"news conference"	0.0460377
recital	0.0459689
pretzel	0.0457962
bonfire	0.045557
extravaganza	0.0455339
soiree	0.0453281
risotto	0.0452923
egg	0.0451966
gourmet	0.0451665
peanut	0.0451639
"apple pie"	0.0451505
tent	0.0449883
pickle	0.0449335
bistro	0.0448917
pot	0.0447518
cereal	0.0446296
theater	0.0445901
funeral	0.0445801
gravy	0.0445014
"church service"	0.0443573
"country music"	0.0441871
candy	0.0440935
shopping	0.0439829
salsa	0.0438753
beach	0.0435381
booze	0.0435249
crab	0.0434213
"pep rally"	0.043413
cafe	0.0433433
Garlic	0.0433234
firecracker	0.0432373
soy	0.0431934
screening	0.0429225
deli	0.0428746
))
("barbecue sauce" (desc 3775.54) (sims
chutney	0.200174
"Worcestershire sauce"	0.179466
mayonnaise	0.178946
"soy sauce"	0.165514
"chili sauce"	0.163872
"hot sauce"	0.161159
mustard	0.14892
marinade	0.148769
vinaigrette	0.146889
"tomato sauce"	0.142483
"wine vinegar"	0.141845
salsa	0.141145
sauce	0.135657
liqueur	0.13315
vinegar	0.130725
"chili powder"	0.127859
"salad dressing"	0.125631
horseradish	0.124443
"pepper sauce"	0.122398
croutons	0.121024
paste	0.120428
"cider vinegar"	0.116488
"peanut oil"	0.114364
"white wine"	0.113967
buttermilk	0.113661
relish	0.113277
dressing	0.112511
pesto	0.111756
ketchup	0.111599
"tomato paste"	0.111383
pickle	0.110498
puree	0.110174
"sour cream"	0.109383
broth	0.108225
"beef broth"	0.106903
"brown sugar"	0.105579
"heavy cream"	0.103984
"chicken stock"	0.103938
jelly	0.103249
"olive oil"	0.102831
paprika	0.102366
condiment	0.102259
"goat cheese"	0.100917
cider	0.100662
"corn syrup"	0.100301
half-and-half	0.1001
parsley	0.0997837
butter	0.099553
"curry powder"	0.0989332
"mineral water"	0.09799
syrup	0.0969323
honey	0.0962096
"orange juice"	0.0956575
tequila	0.0947024
"hoisin sauce"	0.094674
"chicken broth"	0.0942398
juice	0.093765
pepper	0.0932724
"peanut butter"	0.0929757
onion	0.0928837
"beef stock"	0.0922778
"Tabasco sauce"	0.0918159
cilantro	0.0913553
sherry	0.0901685
preserves	0.0900405
"lemon juice"	0.0899537
margarine	0.0894395
"root beer"	0.0893148
"chocolate mousse"	0.08874
"coconut milk"	0.0883949
brandy	0.0882838
rum	0.0880979
oatmeal	0.0880156
"spring water"	0.0874335
"tomato juice"	0.0870246
cream	0.0868853
cheese	0.0867664
shallot	0.0867049
"vegetable oil"	0.0863909
"lime juice"	0.0861809
"cream cheese"	0.0861569
chilies	0.085467
soup	0.0851465
"orange marmalade"	0.0851114
Basil	0.0850203
compote	0.0846578
Calvados	0.0844459
"chicken salad"	0.08418
"evaporated milk"	0.0832159
slaw	0.0831006
yogurt	0.0826765
"sesame oil"	0.0825972
"sesame seed"	0.0825971
guacamole	0.0821511
seasoning	0.0821107
gravy	0.0816629
salt	0.0814862
kebab	0.0814653
molasses	0.0814488
Parmesan	0.0810805
Chili	0.0809595
breadcrumb	0.0803106
chive	0.0800728
"chocolate chip cookie"	0.0800653
olive	0.080023
"maple syrup"	0.0799534
Garlic	0.0792187
"green onion"	0.0790968
"red pepper"	0.0788581
sorbet	0.0787984
"whipping cream"	0.0786458
sausage	0.0785807
Mayo	0.0783079
shortening	0.0781074
"lemon zest"	0.0780788
thyme	0.0773496
powder	0.0772972
allspice	0.0770346
cornstarch	0.0767875
"pumpkin seed"	0.0765072
"baked goods"	0.0763938
"dried fruit"	0.0759556
dill	0.0756758
miso	0.0753969
"spaghetti sauce"	0.0752625
polenta	0.0750369
crumb	0.0748043
salad	0.0747244
tahini	0.0745495
flavoring	0.0739744
chocolate	0.0738311
glaze	0.0738131
sauerkraut	0.0736277
"pine nut"	0.0733346
jalapeno	0.0729427
bread	0.0724562
vodka	0.0724467
pasta	0.0719724
chiles	0.071755
meatball	0.0714127
flour	0.0711982
cornmeal	0.0710164
curd	0.0710086
tomato	0.0702613
fudge	0.0702088
beverage	0.0697581
raisin	0.0695008
"cheddar cheese"	0.0692849
enchilada	0.0691683
"whipped cream"	0.0691417
Zinfandel	0.0690844
dessert	0.0689289
"apple juice"	0.0688249
"green pepper"	0.0684471
bourbon	0.0684229
applesauce	0.0684118
tarragon	0.0682824
"black olive"	0.0682601
spice	0.0679426
mushroom	0.0678118
biscuit	0.0676722
"cake mix"	0.0675436
"potato salad"	0.0673639
"egg yolk"	0.0670869
shrimp	0.0670665
COBBLER	0.0668922
coleslaw	0.0667904
lemonade	0.0666967
lettuce	0.0666874
stew	0.0663577
lard	0.0661332
noodle	0.0660883
pea	0.06602
Chianti	0.0654721
cumin	0.0654659
Liquid	0.0654277
"skim milk"	0.0651913
"bean sprout"	0.0646758
croissant	0.0645566
cornbread	0.0643985
"ice cream"	0.0643054
"snow pea"	0.0641985
"red wine"	0.0640228
"vegetable soup"	0.0639112
Cognac	0.0636743
"white rice"	0.0636583
brownie	0.0635617
cheesecake	0.0635476
biscotti	0.0635317
frosting	0.0634709
"fruit juice"	0.0633384
"cumin seed"	0.0633158
ginger	0.062851
Evian	0.0628309
avocado	0.0628063
"cottage cheese"	0.0627394
whisky	0.0627017
shampoo	0.062566
"iced tea"	0.0621781
herb	0.0620766
))
("barbed wire" (desc 12418.3) (sims
sandbag	0.120105
wire	0.110997
fence	0.106975
barricade	0.105217
moat	0.0759534
mesh	0.0756302
twine	0.0749407
"fiber optic cable"	0.0734789
fencing	0.0668908
rope	0.0660517
scaffolding	0.0649442
Concrete	0.0634591
ribbon	0.0628741
cordon	0.0613505
"stone wall"	0.0595579
watchtower	0.0587838
trench	0.0584143
barrier	0.058375
"sheet metal"	0.0579091
bunker	0.0575746
steel	0.0569433
"wrought iron"	0.0562685
metal	0.0544208
culvert	0.0542296
checkpoint	0.0541583
scaffold	0.054128
asphalt	0.0537364
sheeting	0.0537091
crosse	0.0533812
tarp	0.0532515
"red tape"	0.0517755
"iron curtain"	0.0511057
padding	0.0510645
roadblock	0.0505694
"toilet paper"	0.0500077
"whipped cream"	0.0488605
tubing	0.0487299
antenna	0.0486737
guardrail	0.0486385
Plywood	0.0482009
"railroad track"	0.0477648
detector	0.0477131
tile	0.0474255
insulation	0.0473981
girder	0.0470795
cord	0.047072
fortification	0.0464444
"Berlin Wall"	0.0463158
skyscraper	0.0453112
archway	0.044718
sand	0.0446324
"fire wall"	0.0445359
plaster	0.0444266
floodlight	0.0441774
brick	0.0440329
"sand dune"	0.0438559
tarpaulin	0.0436606
"observation post"	0.0421506
debris	0.0419766
"booby trap"	0.0419578
hut	0.0410498
webcams	0.0407844
sensor	0.0403573
wheelbarrow	0.0401629
rod	0.0400605
))
(barbell (desc 1238.5) (sims
"water jug"	0.119767
"grocery bag"	0.0925372
weakling	0.0857606
cladding	0.0852813
chalice	0.0818799
scraper	0.0812236
"bond trading"	0.0743311
spinnaker	0.0719642
triangulation	0.0704435
cannonball	0.070088
stent	0.070037
pinwheel	0.0695345
"hypodermic needle"	0.0688737
"white flag"	0.0687691
"cabin cruiser"	0.0680605
"conveyor belt"	0.0658122
"rainbow trout"	0.0656605
forklift	0.0650946
"more than @@@ pounds"	0.0633469
"warning signal"	0.0622019
"beach ball"	0.0621939
endoscope	0.0621014
Auger	0.0619308
philistine	0.0618372
E-ZPass	0.0617484
musket	0.0616899
"Chevrolet Blazer"	0.0615335
mower	0.0610495
megaphone	0.0609871
"king salmon"	0.0604947
"motor oil"	0.0589421
sled	0.0589352
jug	0.0588749
calibration	0.0588308
"trial balloon"	0.0587305
"key ring"	0.0586815
"boarding pass"	0.0580927
toolbox	0.0578004
wrister	0.0575829
sander	0.0567332
Boomerang	0.056664
"Honda Civic"	0.0564961
aftermarket	0.0563184
filtering	0.0560893
debit	0.0560642
"electric motor"	0.0559715
"first cup"	0.0553784
shredder	0.0552011
kudzu	0.054957
dervish	0.0547084
"Holy Grail"	0.0547068
"silver dollar"	0.0546238
sm	0.0545381
"audio CD"	0.0543275
spud	0.0542998
whiplash	0.0540409
yo-yo	0.0538174
plunger	0.0537891
steamroller	0.0532876
"optical fiber"	0.0532058
cutlery	0.0532035
"Joan Baez"	0.0531506
"shower curtain"	0.0529339
"power tool"	0.0529184
trampoline	0.0525028
slipcover	0.0523484
"water tower"	0.0522686
"mechanical device"	0.0522112
mallet	0.0521677
porcupine	0.051929
radiotherapy	0.0518016
tubing	0.051781
whisker	0.0512643
"battering ram"	0.0511049
Nativity	0.0510931
mulch	0.0509221
"solar power"	0.0508021
"mountain bike"	0.0506914
amplification	0.0499618
"cinder block"	0.0497897
Filtration	0.0495592
slingshot	0.0495435
pail	0.0495257
"Ford Expedition"	0.0494618
defibrillator	0.0494509
hamster	0.0493106
tricolor	0.0492429
opal	0.0491964
sorter	0.0490836
videophone	0.0490365
carryover	0.0490093
truncheon	0.0489599
off-day	0.0489522
two-step	0.0489127
pollination	0.0488343
Hunley	0.0488209
gourd	0.0487205
mainframe	0.0487082
lightbulb	0.0486107
kgs	0.048577
Luton	0.0485335
longterm	0.0484809
pager	0.0484543
"line drawing"	0.0483454
"bank rate"	0.04823
"golf bag"	0.0482159
"caller ID"	0.0480364
tomcat	0.0479333
MDMA	0.047849
lashing	0.0476413
"morse code"	0.0475794
honeycomb	0.047479
intercom	0.0472736
"surgical instrument"	0.0472671
"packing material"	0.0471853
Seizinger	0.0469818
gimmicky	0.0469613
"beer bottle"	0.0467911
colander	0.0467673
monorail	0.0466755
"coaxial cable"	0.0464666
neurotransmitter	0.0463793
"steam engine"	0.0462435
SDH	0.0461568
"windshield wiper"	0.0461054
Icebox	0.0459422
notary	0.0459351
"milk cow"	0.0458847
stylus	0.0458818
tarpaulin	0.0458049
Sledgehammer	0.0457406
Mahomes	0.0456846
"office furniture"	0.0455427
fallback	0.0454947
serotonin	0.0454666
trolley	0.0454612
"stay of execution"	0.0453798
Projector	0.0453005
"mainframe computer"	0.0451128
IE	0.0450872
capella	0.0450685
scooter	0.0449716
IC	0.044931
teapot	0.0449127
"closed circuit"	0.0449069
"river bed"	0.0448806
carton	0.0448437
mem	0.044835
CGI	0.04479
"Felix Potvin"	0.0447376
"studio apartment"	0.0446425
Kleenex	0.0445344
sachet	0.0444771
"book bag"	0.0443183
northeastward	0.0442543
lollipop	0.0442219
diuretic	0.0441876
augmentation	0.0440298
"three pitchers"	0.0439833
"track event"	0.0438946
newborn	0.0438535
periscope	0.0438025
heavens	0.0437103
tumbler	0.0436754
"razor blade"	0.043601
"duffel bag"	0.0435497
stakeout	0.0435191
Streetcar	0.043517
"exact opposite"	0.0434762
striper	0.0434328
"electric car"	0.0434067
repurchase	0.0433451
tarp	0.0433103
yoke	0.0432926
PIERCINGS	0.0432892
sheeting	0.0432814
wristband	0.0431609
barrette	0.0431467
DC-@@	0.0431204
Benex	0.0430301
copier	0.0429278
two-by-four	0.0428175
paperweight	0.0428042
hummingbird	0.0427766
"three cents"	0.0427117
"traffic signal"	0.042698
"kitchen sink"	0.042666
cistern	0.0425942
"proportional representation"	0.0425768
"fiber optic cable"	0.0425648
"paper cup"	0.0425401
anvil	0.0425132
U-boat	0.0424511
hyphen	0.0424461
shaver	0.0423539
"shower stall"	0.0423171
sundial	0.042316
"train ticket"	0.042303
"seat cushion"	0.0422691
lean-to	0.0422612
))
(Barber (desc 14912.2) (sims
blacksmith	0.0887979
tailor	0.0835846
carpenter	0.0802304
butcher	0.0724957
hairdresser	0.0701146
dentist	0.0685001
"traveling salesman"	0.0646029
plumber	0.0645987
waitress	0.0612497
grocer	0.0608949
Faulk	0.0598537
"factory worker"	0.0594033
handyman	0.0566374
schoolteacher	0.0560421
Wright	0.0555827
nurse	0.0553531
Berg	0.0553322
businessman	0.0541839
Yoon	0.0538915
electrician	0.0534461
Bowman	0.0533415
Copland	0.0533134
newspaperman	0.0527875
Miller	0.052737
mechanic	0.0526737
Shulman	0.0525954
Hickman	0.0524281
shopkeeper	0.0521584
optometrist	0.0520399
Prokofiev	0.0519707
"social worker"	0.0519692
mailman	0.0516635
stockbroker	0.0515074
waiter	0.0509647
bricklayer	0.0509461
Bartok	0.0509458
caddie	0.0508972
guo	0.0508196
bartender	0.0508113
Woodward	0.0507091
Hart	0.0506886
"civil engineer"	0.050599
therapist	0.0504553
Bernstein	0.0502361
composer	0.0501197
"police sergeant"	0.0500529
fisherman	0.0499385
pharmacist	0.0498765
housewife	0.0496953
missionary	0.0494967
Vasquez	0.0493752
homemaker	0.0492497
accountant	0.0492087
Duffy	0.0491429
Faulder	0.049048
chef	0.0489345
hale	0.0489339
fuller	0.0488636
preacher	0.0488395
Gotti	0.0487969
"physical therapist"	0.0487644
"insurance broker"	0.048663
martin	0.048463
potter	0.048428
clerk	0.0484204
Butler	0.0483605
Stravinsky	0.048344
Shaw	0.0483285
Woodard	0.0479826
weir	0.0478884
Baker	0.047863
"electrical engineer"	0.0478466
servant	0.0477532
veterinarian	0.0476408
chiropractor	0.0476167
rabbi	0.0475979
Khannouchi	0.0475714
watchman	0.0475588
swain	0.0475359
florist	0.0474873
Morris	0.0474462
nanny	0.047378
"real estate broker"	0.0472988
jeweler	0.0470219
Harris	0.046983
firefighter	0.0469148
"law student"	0.0469111
Papon	0.0468863
photographer	0.0467359
Berenson	0.0466648
craftsman	0.0466572
Tobin	0.0466187
"dry cleaner"	0.0464406
masseuse	0.0463013
welder	0.0462705
maid	0.0462269
Oliver	0.0461967
Tchaikovsky	0.0461155
"foster mother"	0.0460599
psychiatrist	0.0460517
Shostakovich	0.0460008
Playwright	0.0459991
"eye doctor"	0.0458546
salesman	0.0458024
musician	0.0457283
housekeeper	0.0456994
stylist	0.0456889
Freeman	0.0456756
Postmaster	0.0456713
painter	0.0455887
"interior designer"	0.0455147
Owens	0.045435
Kirby	0.0453961
Lowry	0.045348
Graham	0.0451887
Merritt	0.0451711
violinist	0.0451678
Tate	0.0451647
prostitute	0.0450916
gentry	0.0449381
Hawkins	0.0449251
Wiggins	0.0447506
seamstress	0.044747
cantor	0.0446984
janitor	0.0446793
"funeral director"	0.0446673
Jones	0.04464
Grossman	0.0445336
lynch	0.0445167
Fassel	0.0445072
weatherman	0.044207
Ferris	0.0442012
"car dealer"	0.0441522
"real estate agent"	0.0441456
"English teacher"	0.0441287
Moss	0.0441099
McCullough	0.044089
pressman	0.0440774
policeman	0.0440383
Garza	0.0440321
miner	0.0439615
Drexler	0.0439484
Arnold	0.0438483
Simmons	0.0437678
Watters	0.0436113
Hooker	0.043564
Moore	0.0435415
Bates	0.0435291
harrison	0.0434929
Jenkins	0.043483
Walter	0.0434529
clergyman	0.0434437
smith	0.0434195
Ramsey	0.0434169
pianist	0.0433633
Kurtz	0.0433516
Modell	0.043306
Morgan	0.0432762
"young woman"	0.0431741
Hershiser	0.0431581
Gooden	0.0431429
undertaker	0.0431374
Raymond	0.0430808
caterer	0.0430396
pastor	0.0430272
Reed	0.0430268
Oakley	0.0429946
Edwards	0.0428188
Davis	0.0428153
roofer	0.0427918
Cop	0.0427846
Lewis	0.0427824
"insurance agent"	0.0427077
"bus driver"	0.0426873
Admiral	0.0425413
Fisk	0.0425255
Bobby	0.0424538
"truck driver"	0.0423571
Sondheim	0.042356
Deacon	0.042334
"plastic surgeon"	0.0423319
Erickson	0.0421768
Levine	0.042119
"medical student"	0.0420219
Stayner	0.0419285
Slaney	0.0419051
Englishman	0.04188
Gershwin	0.0417891
fireman	0.041768
Mason	0.041712
Bach	0.0416732
Thomson	0.0416306
Friedman	0.041617
foreman	0.0415981
Hoffman	0.041544
merchant	0.0415313
psychoanalyst	0.0414758
Garrett	0.0414507
Amato	0.0414349
sleuth	0.041429
))
(barbershop (desc 4159.5) (sims
"coffee shop"	0.0966404
teahouse	0.0898414
"dance hall"	0.0881601
cappella	0.0873394
"liquor store"	0.0816756
"movie theater"	0.0807685
"clothing store"	0.0783094
"shoe store"	0.0778957
saloon	0.0763494
"food shop"	0.0762661
delicatessen	0.0760382
parlor	0.0732569
tavern	0.0726034
"grocery store"	0.0725337
"hardware store"	0.0709651
pub	0.0701052
"dry cleaner"	0.0640969
capella	0.0626383
coffeehouse	0.0622384
salon	0.062076
eateries	0.0613921
bakery	0.0607498
"tea house"	0.0603086
"beauty parlor"	0.05968
"art gallery"	0.0594867
arcade	0.0584628
"movie house"	0.0580309
"coffee bar"	0.0577919
gym	0.0575982
"convenience store"	0.057474
"shopping mall"	0.0573463
"bowling alley"	0.0570274
bistro	0.0564364
"gas station"	0.0562338
"computer store"	0.0561972
"gift shop"	0.0552045
boutique	0.0550314
nightclub	0.054398
bookshop	0.0543699
brothel	0.0543285
storefront	0.0536718
ballroom	0.0535556
"general store"	0.0526869
deli	0.0524264
Steakhouse	0.0521621
globetrotter	0.0520959
"beauty salon"	0.0519971
diner	0.051964
"jewelry store"	0.0518035
"gasoline station"	0.0504722
"Phil Collins"	0.0501812
drugstore	0.050025
gallows	0.0499052
"market town"	0.0496555
"beauty shop"	0.0489679
"recording studio"	0.04886
disco	0.0485193
sawmill	0.0479507
"conference room"	0.0479429
"retail store"	0.0479305
Pharmacy	0.0474554
cafeteria	0.0467832
"psychiatric hospital"	0.0457315
schoolhouse	0.0455683
"shopping center"	0.0450303
karaoke	0.0447804
showroom	0.0447117
"press box"	0.0446275
superlative	0.0445485
"service station"	0.0444331
dealerships	0.044262
"butcher shop"	0.0442275
tearoom	0.0442124
"dressing room"	0.0441953
"office building"	0.044161
firehouse	0.0438699
junkyard	0.0430838
"cotton mill"	0.0430472
"Johnny Cash"	0.0428029
nunnery	0.0427218
"funeral home"	0.0422745
"chicken coop"	0.0420039
"law practice"	0.0417487
"concert hall"	0.0416978
"cowboy hat"	0.0416946
emporium	0.041621
discotheque	0.0414755
pawnshop	0.0412804
honky-tonk	0.0412584
"grammar school"	0.0411944
"gambling casino"	0.0410254
bed-and-breakfast	0.0408013
"toy store"	0.04071
"candy store"	0.0405628
campsite	0.0402812
"mental hospital"	0.0400985
"chain store"	0.040089
))
(Barbie (desc 15281.3) (sims
doll	0.0986205
Furby	0.0986082
"GI Joe"	0.0982178
"Beanie Babies"	0.0818146
"Hello Kitty"	0.0787824
Pokemon	0.0697663
toy	0.0678356
iMac	0.0667015
Teletubbies	0.0664332
Barbies	0.0661553
"Beanie Baby"	0.0650318
"little girl"	0.0637594
"Mickey mouse"	0.0601973
Levi's	0.0576636
Budweiser	0.0568367
Ken	0.0561855
BRITNEY	0.0545308
PalmPilot	0.0542132
docker	0.0539483
Dorothy	0.0532453
Winnie	0.0529113
iBook	0.0526017
Elvis	0.0523272
Marlboro	0.0519055
"comic book"	0.051258
Barney	0.0511192
Diana	0.0501846
"Pentium III"	0.0500044
Hillary	0.0492325
COUTURE	0.0488951
"Charlie Brown"	0.0488326
Linda	0.0486922
Tarzan	0.0479714
"Palm Pilot"	0.0475505
"high fashion"	0.047459
NIKE	0.0470256
Monica	0.0470031
denim	0.0464946
"Windows @@@@"	0.0463614
"Star Wars"	0.0462591
"video game"	0.0461711
"computer game"	0.0455239
Lexus	0.0455212
LIPITOR	0.0450698
"teddy bear"	0.0448776
Rockettes	0.044773
Powerbook	0.0447448
"Spice Girls"	0.0446618
Pooh	0.0445836
Jamie	0.0445712
Mickey	0.0444883
Mattel	0.0442556
Dinosaur	0.0441955
Claritin	0.0441516
"hand-held computer"	0.0440594
Laura	0.0438801
yo-yo	0.0437555
copier	0.0436442
pikachu	0.0435672
Fubu	0.0434576
mannequin	0.0433961
Macintosh	0.0433429
"Uncle Sam"	0.0432241
Matchbox	0.0431802
Hasbro	0.0430266
Santa	0.0430043
"Sesame Street"	0.0428844
"trading card"	0.0425283
grandma	0.0422212
Madeline	0.042136
Linux	0.0420486
"Harry Potter"	0.0420187
Harley	0.0419959
Snapple	0.0419908
bunny	0.0417971
Cher	0.0416536
Rugrats	0.0416347
"haute couture"	0.0416087
Propulsid	0.0414903
spiffy	0.0414428
"second hand"	0.0413451
mommy	0.040686
Clothing	0.0406527
corvette	0.0406435
PDA	0.0406216
Prius	0.0406001
vintage	0.0405379
"mainframe computer"	0.0405308
"Marilyn Monroe"	0.0404965
Lois	0.0402521
))
(Barbies (desc 2660.21) (sims
Furbys	0.172513
"Beanie Babies"	0.0962359
doll	0.0893362
"baseball card"	0.087592
beanie	0.0828779
"trading card"	0.0774567
Ferraris	0.070672
Barbie	0.0661553
yo-yo	0.0659331
beany	0.0640382
parakeet	0.0627719
memorabilia	0.061679
"elbow room"	0.0610634
figurine	0.0564043
toaster	0.0556975
"coloring book"	0.0552579
Porsches	0.0546374
"Kid Rock"	0.0546234
"Gold Gloves"	0.0544329
"break of serve"	0.0539209
"board game"	0.0532267
"teddy bear"	0.0529516
"speeding ticket"	0.052676
"music lover"	0.0521866
"GI Joe"	0.0513485
"compact disk"	0.0508256
Legos	0.0499194
blinder	0.0497258
pluses	0.0495866
"alarm clock"	0.0493306
"portable computer"	0.049236
timepiece	0.0490912
dispenser	0.0480961
furnishings	0.0479641
toothbrush	0.0474312
lotion	0.046875
"ticket stub"	0.0466075
collectibles	0.0465074
"savings bond"	0.0461752
ballgames	0.0461299
"electric fan"	0.0461272
"historical document"	0.0458505
shredders	0.0454447
"musical instrument"	0.0453425
"coffee mug"	0.0452836
"electric car"	0.044932
Furby	0.0449081
"season ticket"	0.0448283
"business line"	0.0448233
"parking ticket"	0.0447842
Pooh	0.0446787
frogs	0.0445094
hubcap	0.0443049
drachma	0.0441985
iMacs	0.0438313
widget	0.0438237
Pokemon	0.0437507
portables	0.0435793
wares	0.0434906
"oil painting"	0.0432075
T-bonds	0.043201
shampoo	0.0430609
postseasons	0.0428962
"Backstreet Boys"	0.0427915
knickknack	0.0424683
byte	0.0424513
great-grandchildren	0.0423145
"sports equipment"	0.0421694
e-BOOKS	0.042051
STETSON	0.0420155
"place setting"	0.0418746
"tax form"	0.0417764
"laundry detergent"	0.0416711
"Bengal tiger"	0.0416393
freebies	0.0415911
"hand tool"	0.0413937
"fountain pen"	0.0412981
lighter	0.0411888
eraser	0.0411751
firsts	0.0411148
trinket	0.0409696
"sailing vessel"	0.0409201
typewriter	0.0409097
"Cuban Americans"	0.0408819
bib	0.0407977
LPs	0.0407489
twentysomethings	0.040734
"card game"	0.0406959
"running play"	0.0406321
"storage device"	0.0406174
megaplexes	0.0405956
"sewing machine"	0.0404133
goer	0.0402442
transistor	0.0402397
Athenian	0.0401279
Teletubbies	0.0401091
oar	0.0401055
))
(Barbour (desc 1157.72) (sims
Finkel	0.125921
Mukora	0.120823
Gosper	0.120668
Meeks	0.103132
Zeng	0.102402
Koskinen	0.0995668
Claes	0.098625
Kornberg	0.0974656
Wiggins	0.0972435
"Huang Ju"	0.0972014
Solis	0.0967627
Ashrawi	0.0955951
Hybl	0.0947351
Hersh	0.0945647
"Zbigniew Brzezinski"	0.0945163
Shaath	0.0931868
Musa	0.0931487
Kyl	0.0914531
Vogel	0.0913745
Soares	0.0912623
Sassa	0.0910346
"Ahmed Tibi"	0.0907538
Cao	0.0886485
DeFrantz	0.0883149
Rosenbaum	0.0881002
Brownback	0.0874433
Jobe	0.0867546
Caddell	0.0862822
"Dick Pound"	0.0861502
Patel	0.0851995
Biden	0.0851951
Wiatt	0.0849103
Maslyukov	0.0847058
"Hanan Ashrawi"	0.0846174
Ben-Ami	0.0844476
"Gene Sperling"	0.0841261
Ruehe	0.0831326
"Dan Meridor"	0.0822173
Rylander	0.0822136
Rudman	0.0821756
Maldini	0.0818402
Mfume	0.0817071
Hirsch	0.0814615
Xue	0.0812465
Bronfman	0.0811211
Manley	0.0807833
Havelange	0.080701
Advani	0.0805719
Cleary	0.0805023
Garza	0.0802558
"George Stephanopoulos"	0.0801363
Arroyo	0.0798816
BURNHAM	0.0796709
Greenwald	0.0794511
Dobson	0.0792826
Burgess	0.0792211
Arnett	0.0791837
Seleznyov	0.0791693
O'Neil	0.0789512
Mineta	0.0788788
"British government"	0.0788091
Krajisnik	0.0788023
Margolis	0.0787795
Harrell	0.0785455
Schaefer	0.0782825
Condit	0.0781102
Hagel	0.078074
Joklik	0.0780518
Rosen	0.0778362
Nadler	0.0776113
Capano	0.0775895
Gaffney	0.0774894
Levitt	0.0773846
Eizenstat	0.0772529
Alioto	0.0765831
"Ding Guangen"	0.0764855
Beckenbauer	0.0760658
"De la Cruz"	0.0759383
Bishara	0.075823
Podesta	0.0756536
Camacho	0.0755791
Fagan	0.0755185
Hodler	0.0751429
R-Neb	0.0751376
"Rahm Emanuel"	0.0749357
Leavitt	0.0749298
"Yossi Beilin"	0.0747871
guo	0.0746601
Knox	0.0745287
"Li Tieying"	0.074507
Brazile	0.0743966
Kolbe	0.0743786
Lundberg	0.0742812
"Robert Aventajado"	0.0741729
Galvin	0.0739922
Alarcon	0.0738889
Pearce	0.0738219
Ganga	0.0737367
Butterworth	0.0737236
Tsvangirai	0.0736307
Rivlin	0.0735418
Peretz	0.0733515
Farah	0.0733067
Pelosi	0.0732888
Cheng	0.0732461
Blumenthal	0.0732414
Kazhegeldin	0.0732297
"Ward Connerly"	0.0731755
Moratinos	0.0731543
"Jia Qinglin"	0.0731422
"Faisal Husseini"	0.0729275
Fleischer	0.0724266
Kodikian	0.072419
Ebersol	0.0724154
Mitterrand	0.0723035
"Condoleezza Rice"	0.0716166
R-Mich.	0.0715377
Gutman	0.0714556
Silas	0.0712941
Kang	0.0710038
Engel	0.0709679
Marichal	0.0708423
Iglesias	0.07076
Esposito	0.0707262
Bloch	0.0706293
McCray	0.0705397
"Marc Hodler"	0.0704882
Hallinan	0.0703077
Shayler	0.0702627
Feldman	0.0700704
"Yossi Sarid"	0.0700573
Grassley	0.0700564
Lazaro	0.070002
Cochran	0.0698631
Rabe	0.0697656
"Frank Joklik"	0.0696478
Whyte	0.0695624
Rodionov	0.069561
Teresi	0.0694891
Fernandes	0.0694589
Preval	0.0693626
Haworth	0.069349
"Yuri Maslyukov"	0.0690452
Kissinger	0.0689688
Ghalib	0.0689685
Alderson	0.0688178
"John Koskinen"	0.0688068
"Salim Saleh"	0.068704
Diouf	0.0686202
Hauser	0.0685713
"Yu Yongbo"	0.0685429
Schaeffer	0.0685287
Jia	0.0685071
Snowe	0.0684661
Colburn	0.0684466
Cianci	0.0684466
Walser	0.0683907
Weinstein	0.0683633
Gartner	0.0682739
"Anti-Defamation League"	0.0682237
Venables	0.0682074
Mandelson	0.0682056
Merlino	0.0682009
Sanan	0.0681509
"Princess Anne"	0.0681396
Menino	0.0681235
Mortimer	0.0680762
Scharping	0.0680131
"Richard Blumenthal"	0.0680009
Lamberth	0.0679585
Shays	0.0679533
McCollum	0.0679084
LeFave	0.0678635
IFC	0.067813
Ekeus	0.0676537
Sizemore	0.0676489
Garvey	0.067638
Rahman	0.067595
"Li Lanqing"	0.0675722
Grasso	0.0675507
"Wei Jianxing"	0.0674483
D-Del.	0.067433
Scruggs	0.0673857
Pierson	0.0673857
Malan	0.0672441
Yazdi	0.0672108
Barr	0.0671983
Kumar	0.0671816
Wetherell	0.0671665
Ferrer	0.0671284
Bolger	0.0671154
Rideau	0.067109
Auriemma	0.066898
Harkin	0.0668772
"Li Ruihuan"	0.066844
Gramm	0.0667897
Shipman	0.0666207
Huang	0.0665967
Connerly	0.0665964
"Defense William Cohen"	0.0665066
))
("Barbra Streisand" (desc 7885.33) (sims
"Whitney Houston"	0.142639
Cher	0.133136
"Celine Dion"	0.131767
"Bette Midler"	0.129399
"Mariah Carey"	0.128726
"Tony Bennett"	0.126918
"Tina Turner"	0.126416
"Elton John"	0.125221
Madonna	0.121659
"Frank Sinatra"	0.117677
"Jimmy Buffett"	0.113433
"Eric Clapton"	0.112766
"Carol Burnett"	0.10954
Streisand	0.108353
"Stevie Wonder"	0.107996
"Aretha Franklin"	0.107732
"Judy Garland"	0.107251
"Garth Brooks"	0.106778
"Bob Hope"	0.104712
"Ella Fitzgerald"	0.102885
"Whoopi Goldberg"	0.102763
"Ricky Martin"	0.101407
"Spice Girls"	0.101084
"Tom Hanks"	0.100813
"Shirley MacLaine"	0.100763
"Martin Scorsese"	0.0991657
"Marx Brothers"	0.0988419
"Humphrey Bogart"	0.098023
"Marlon Brando"	0.097932
"Paul Newman"	0.097752
"Dustin Hoffman"	0.0975662
"Diana Ross"	0.0972312
"Clint Eastwood"	0.097204
"GLORIA ESTEFAN"	0.0964151
"Robin Williams"	0.09563
"Don Henley"	0.0955841
"Josephine Baker"	0.0951537
"Tom Cruise"	0.0950261
"Toni Braxton"	0.0947241
"Kevin Costner"	0.0944752
"Shania Twain"	0.0942289
"Michael Douglas"	0.0941509
"Jennifer Lopez"	0.0937674
"Christopher Reeve"	0.0935822
"Billy Joel"	0.0933303
"Bing Crosby"	0.0921669
"Liza Minnelli"	0.091849
"Quincy Jones"	0.0916447
"Bruce Springsteen"	0.0916232
"Lucille Ball"	0.0908709
"Rolling Stones"	0.0905831
"Elizabeth Taylor"	0.0902134
"Jack Nicholson"	0.0891294
"David Geffen"	0.0888056
"Michael Jackson"	0.0880026
"Janet Jackson"	0.0878032
"Britney Spears"	0.0874956
"Willie Nelson"	0.0869359
"Bill Cosby"	0.0868536
"Elvis Presley"	0.0867868
"Andrea Bocelli"	0.0865659
"Dean Martin"	0.0865304
"Billy Crystal"	0.0859856
"Susan Sarandon"	0.0859713
"Bonnie Raitt"	0.0856964
"Sidney Poitier"	0.0856203
"Steve Martin"	0.0853132
"Brigitte Bardot"	0.0852865
"Christina Aguilera"	0.0851938
"Jeffrey Katzenberg"	0.0851168
"Robert Redford"	0.0845067
"Steven Spielberg"	0.0843566
"Meryl Streep"	0.0839689
"Diane Keaton"	0.0839187
"Michael Bolton"	0.082961
"Demi Moore"	0.0824592
"Nicole Kidman"	0.0816976
"Backstreet Boys"	0.0805081
"Jodie Foster"	0.0804001
"Cindy Crawford"	0.0803393
"Rosie O'Donnell"	0.0792598
Springsteen	0.0790295
"Harrison Ford"	0.0786831
"Taye Diggs"	0.078253
"Lauryn Hill"	0.078182
"AL PACINO"	0.0778536
"Chow Yun-Fat"	0.0776851
"Dolly Parton"	0.0773882
"John Travolta"	0.0773655
Beatles	0.0772708
"Gene Hackman"	0.0772507
"Richard Dreyfuss"	0.077015
"Julia Roberts"	0.0768708
Liberace	0.0764086
"Faye Dunaway"	0.0763105
"Goldie Hawn"	0.0757028
"Sammy Davis Jr."	0.0753977
"Audrey Hepburn"	0.0753834
"Harry Belafonte"	0.0749739
"Linda Ronstadt"	0.0747719
"Janis Joplin"	0.0747345
"Nat King Cole"	0.074274
"Tom Selleck"	0.073989
"Sheryl Crow"	0.0734944
"Leonardo DiCaprio"	0.0733339
"Meg Ryan"	0.0732621
"Glenn Close"	0.073203
"Mel Gibson"	0.0731339
"Marc Anthony"	0.072883
"Phil Collins"	0.0725548
"Bob Dylan"	0.0715245
"Jimmy Smits"	0.0713875
Babyface	0.070841
"Kim Basinger"	0.0706877
"Mick Jagger"	0.0706744
"John Lennon"	0.0706062
"Luther Vandross"	0.0705861
"James Taylor"	0.0705242
"Michelle Pfeiffer"	0.0704058
"Will Smith"	0.0701784
"Sylvester Stallone"	0.0697773
"Warren Beatty"	0.0695917
"Johnny Cash"	0.0693711
"Norman Lear"	0.0687515
"Mandy Patinkin"	0.0686529
"Alec Baldwin"	0.0686255
"Louis Armstrong"	0.0686189
"Billie Holiday"	0.0683428
Eurythmics	0.0681063
"Paul Simon"	0.0679797
"Kirk Douglas"	0.0671743
"Cary Grant"	0.0670823
"Faith Hill"	0.0669669
"Bruce Willis"	0.0669294
"Pearl Jam"	0.0666339
"Annette Bening"	0.0666007
"Jim Carrey"	0.0665081
"Alanis Morissette"	0.0663047
"Woody Allen"	0.0662302
"Richard Gere"	0.066134
"Catherine Deneuve"	0.0660341
"David Bowie"	0.066022
Bjork	0.0659964
"Brad Pitt"	0.0659754
"Marilyn Monroe"	0.0657549
"Gwyneth Paltrow"	0.065193
"Lauren Bacall"	0.0648757
"Puff Daddy"	0.0646503
"Lily Tomlin"	0.0643409
"Sharon Stone"	0.0643023
brandy	0.0640486
"Marlene Dietrich"	0.0639661
Selena	0.0638573
"Jessye Norman"	0.0637139
"Melissa Etheridge"	0.0636294
Costner	0.0635488
"Sarah Jessica Parker"	0.0635368
"Arnold Schwarzenegger"	0.0634697
"George Michael"	0.0633317
"Robert de Niro"	0.0632777
"Emmylou Harris"	0.0632731
"N Sync"	0.0631654
"Burt Reynolds"	0.062833
"Sarah McLachlan"	0.062621
"Julie Andrews"	0.0623816
"Angela Bassett"	0.0623401
"Vanessa Redgrave"	0.0622512
"Audra McDonald"	0.062225
"Oprah Winfrey"	0.0620013
"Fred Astaire"	0.061735
"Clark Gable"	0.0615755
"Diana Krall"	0.0607996
"Katie Couric"	0.06074
"Eddie Murphy"	0.0604591
U@	0.060436
"Jimi Hendrix"	0.0603723
"Boyz II Men"	0.0603531
"Ray Charles"	0.0602261
"Ron Howard"	0.060014
"James Dean"	0.0599283
"Paul McCartney"	0.0597481
"Harvey Keitel"	0.0595758
"exotic dancer"	0.0594745
"Richard Pryor"	0.0594464
Aerosmith	0.0593193
"Tom Jones"	0.0592006
Elvis	0.0588813
"Rod Stewart"	0.0584966
"Christopher Plummer"	0.0584296
"Errol Flynn"	0.0583697
Sinatra	0.0582491
"Jason Alexander"	0.0582371
"Spike Lee"	0.0581781
"meat loaf"	0.0581334
"James Brown"	0.058005
"Mary J. Blige"	0.0579434
"Charlton Heston"	0.0578215
"Jack Lemmon"	0.0576189
"Marilyn Manson"	0.0575016
"Jerry Seinfeld"	0.0573217
))
(Barcelona (desc 40421.6) (sims
"Real Madrid"	0.195219
Juventus	0.182166
Valencia	0.169946
"Bayern Munich"	0.169615
"AC Milan"	0.168877
Munich	0.165777
Madrid	0.164777
"Manchester United"	0.158858
Liverpool	0.157196
Ajax	0.146298
Milan	0.144616
Porto	0.143715
"Inter Milan"	0.141124
"FC Barcelona"	0.137474
Olympiakos	0.136596
Amsterdam	0.136423
Fiorentina	0.132783
Seville	0.131744
Stuttgart	0.130855
Sydney	0.129865
MELBOURNE	0.129666
STOCKHOLM	0.12966
Bologna	0.127487
Galatasaray	0.125453
Berlin	0.124342
Panathinaikos	0.123775
Rome	0.123404
"Dynamo Kiev"	0.123295
ATHENS	0.122074
Mallorca	0.121614
Benfica	0.121394
"Atletico Madrid"	0.121307
"Barcelona Olympics"	0.121161
Zurich	0.121091
"Borussia Dortmund"	0.120377
Frankfurt	0.119579
Monaco	0.119547
Espanyol	0.119231
Marseille	0.119141
Copenhagen	0.118999
Nagano	0.118274
Kaiserslautern	0.117096
Hamburg	0.116928
Calgary	0.116613
"PSV Eindhoven"	0.115651
Everton	0.114719
Vienna	0.114337
Leeds	0.113652
Montreal	0.113571
Inter	0.11354
"Ajax Amsterdam"	0.113369
"Aston Villa"	0.112812
Parma	0.112273
"Real Sociedad"	0.112207
SEOUL	0.111482
Helsinki	0.111258
Paris	0.110259
Osaka	0.109391
Lyon	0.108781
Toronto	0.108451
Istanbul	0.107893
"Buenos Aires"	0.107584
Rotterdam	0.107517
"Barcelona Games"	0.107502
Atlanta	0.107484
Chelsea	0.107378
Newcastle	0.107239
LISBON	0.106868
"Olympique Marseille"	0.106649
Brondby	0.106622
Tenerife	0.105662
Arsenal	0.105586
Strasbourg	0.105276
Anderlecht	0.104267
"San Sebastian"	0.103253
Tokyo	0.102965
Perth	0.102339
Celta	0.101808
BRUSSELS	0.101558
Dublin	0.101471
Valladolid	0.101425
Sevilla	0.101307
PALERMO	0.100979
Brisbane	0.100941
Betis	0.100768
Udinese	0.100683
Zaragoza	0.100679
Oslo	0.100628
"Mexico City"	0.100244
Lillehammer	0.10004
"San Jose"	0.099911
Lausanne	0.0998989
Prague	0.0995322
Tottenham	0.099384
ZAGREB	0.0991156
Bayern	0.0988655
Chicago	0.0988025
"Los Angeles"	0.0983721
Detroit	0.0983071
Leverkusen	0.0981782
Bari	0.0980396
Bilbao	0.0978219
England	0.0977186
Bremen	0.0976163
BUDAPEST	0.09675
Heerenveen	0.0964027
Vancouver	0.0962919
Lazio	0.0962594
Cologne	0.0961617
"Bayer Leverkusen"	0.0956363
"Cape Town"	0.0955738
Cincinnati	0.0954225
Besiktas	0.0953794
Scotland	0.0949334
Phoenix	0.0948889
Geneva	0.0948366
"Athletic Bilbao"	0.0948102
Denver	0.0947521
"San Antonio"	0.0942831
"Sao Paulo"	0.0940331
Gothenburg	0.0940283
"Real Betis"	0.0939898
Turin	0.093804
Nantes	0.0937383
Portland	0.0936901
LONDON	0.093651
Dortmund	0.0935657
"Newcastle United"	0.0935317
"Werder Bremen"	0.093213
Feyenoord	0.0931299
Indianapolis	0.0927933
Norway	0.092717
Necaxa	0.0926799
"Deportivo Coruna"	0.092556
Middlesbrough	0.0925435
Columbus	0.0919931
corinthian	0.0917162
Bordeaux	0.0916687
"Boca Juniors"	0.0916222
Philadelphia	0.0914091
"Rio de Janeiro"	0.0913762
Birmingham	0.0910262
Duesseldorf	0.0907057
"San Diego"	0.0906448
Brazil	0.0905067
Dallas	0.0902989
"San Francisco"	0.0902498
"Celta Vigo"	0.0901429
Auckland	0.0901202
Adelaide	0.0899904
"St. Louis"	0.0898042
Antwerp	0.0897224
MetroStars	0.0896737
"Atlanta Olympics"	0.0895785
Moscow	0.08918
"Kuala Lumpur"	0.0891098
Pittsburgh	0.0888725
Miami	0.0885509
Milwaukee	0.0884755
Paraguay	0.088458
Seattle	0.088426
Sweden	0.0884022
KIEV	0.0881969
"St. Petersburg"	0.0879153
Palmeiras	0.0878606
Houston	0.087636
Denmark	0.0875621
Sacramento	0.0875188
Naples	0.0874934
"European Championships"	0.0873283
Trondheim	0.0871802
"Spartak Moscow"	0.0871668
Syracuse	0.0870413
Edmonton	0.0867204
Toulouse	0.0866789
Orlando	0.0866122
Flamengo	0.086562
CAIRO	0.0864437
Taipei	0.0863847
Verona	0.0863468
Malmo	0.086207
"Leeds United"	0.0861442
Bangkok	0.086051
"Nottingham Forest"	0.0859579
Basle	0.0859477
BUCHAREST	0.0857394
Cleveland	0.0853792
"Salt Lake City"	0.0853276
"St Petersburg"	0.085215
Rosenborg	0.0849159
Buffalo	0.0844831
Fukuoka	0.0842372
Spain	0.0841995
Schalke	0.0841985
Argentina	0.0841894
Italy	0.0838948
Internazionale	0.0838942
Napoli	0.0838321
Perugia	0.0836588
Manchester	0.0836175
))
("Barcelona Games" (desc 2325.87) (sims
"Barcelona Olympics"	0.361111
"World Junior Championships"	0.323258
"Nagano Olympics"	0.268855
"Atlanta Olympics"	0.230816
"Atlanta Olympic Games"	0.229227
"Atlanta Games"	0.227679
"World Swimming Championships"	0.221558
"Seoul Olympics"	0.214284
"Eighth National Games"	0.205577
"Centennial Olympic Games"	0.203724
"World University Games"	0.202846
"Pan Am Games"	0.196071
"Bangkok Asian Games"	0.194001
"European Championships"	0.186851
"Nagano Winter Olympics"	0.183431
"World Figure Skating Championships"	0.177477
"World Athletics Championships"	0.166474
"East Asian Games"	0.166128
"Goodwill Games"	0.165989
"Commonwealth Games"	0.162353
"Asian Games"	0.158723
"Southeast Asian Games"	0.15249
"Pan American Games"	0.15119
"Asian Championships"	0.150755
"World Championships"	0.145416
"Sydney Olympic Games"	0.140371
"Olympic Winter Games"	0.139856
"World Table Tennis Championships"	0.136523
"National Games"	0.135771
"SEA Games"	0.129871
Nagano	0.123617
"Olympic Games"	0.123601
Paralympics	0.122727
Albertville	0.121497
"Skate America"	0.120745
"Summer Olympics"	0.118631
Asiad	0.118506
Universiade	0.112944
"Sydney Games"	0.112666
"Summer Games"	0.111995
"Winter Olympics"	0.108814
Barcelona	0.107502
"World Cycling Championships"	0.107123
"Sydney Olympics"	0.106544
"World Basketball Championship"	0.0999494
"European Swimming Championships"	0.0977979
"swimming meet"	0.0965801
Hiroshima	0.0964173
Belfry	0.0963522
"Asian Winter Games"	0.0920591
"Pikes Peak"	0.0919433
"Summer Olympic Games"	0.0914099
"Winter Games"	0.090684
"Loch Lomond"	0.0883888
Lillehammer	0.0878865
"Winter Olympic Games"	0.0875694
tourney	0.0874915
Olympiad	0.0865359
"U.S. Olympic"	0.0865221
"New York City Marathon"	0.0864902
"Pleasant Valley"	0.0852983
"Olympic Trials"	0.0850969
"Nations Cup"	0.0840962
Pir	0.0839525
"shot put"	0.0838651
"Southeast Asian"	0.0832102
Super-G	0.0826261
"Cannes Film Festival"	0.0813084
"Roland Garros"	0.0811683
freestyle	0.081099
"European Championship"	0.0801025
decathlon	0.0797631
Seville	0.079293
"RCA Dome"	0.0780486
"Lipton Championships"	0.0779148
backstroke	0.0774865
"Australian Open"	0.077184
"Daytona @@@"	0.0761572
"Georgia World Congress Center"	0.0759805
"Bay Hill"	0.0752598
Eastbourne	0.073261
"Pan Ams"	0.0730335
"Millrose Games"	0.0721891
"Talladega Superspeedway"	0.0719625
"Stade Velodrome"	0.0710047
"French Open"	0.0709484
"United States Open"	0.0702204
"Players Championship"	0.070097
Martinsville	0.0693574
"Thomas Cup"	0.0693359
"Copa America"	0.0685769
"Watkins Glen"	0.0683457
"RFK Stadium"	0.0681465
"Sahalee Country Club"	0.0679272
"Indian Wells"	0.0673982
Masters	0.0669572
Daytona	0.066629
"British Open"	0.066495
"LA COSTA"	0.0660907
Valderrama	0.0658656
inaugural	0.065411
"Conseco Fieldhouse"	0.0653523
"Joe Louis Arena"	0.0645323
breaststroke	0.0643107
Valhalla	0.0640875
"Cannes International Film Festival"	0.0639316
"Winning Colors"	0.0639202
Heptathlon	0.0638557
"Wembley Stadium"	0.0635472
"US Open"	0.0634468
"Boston Marathon"	0.0632501
"Lambeau Field"	0.062154
Wembley	0.0621406
Lahti	0.0621144
"Delta Center"	0.0620514
"three-day event"	0.0619225
"Royal Birkdale"	0.0616633
"World Weightlifting Championships"	0.0614833
Pocono	0.0614448
"Veterans Stadium"	0.0613358
"Market Square Arena"	0.0609901
"pommel horse"	0.0602124
"Longwood Cricket Club"	0.0595645
"Memorial Tournament"	0.0594973
"Arkansas Derby"	0.0594696
Pinehurst	0.0592095
"Charlotte Motor Speedway"	0.0590955
"College World Series"	0.0589828
"Orange Bowl"	0.0589364
"long jump"	0.0584596
"St. Andrews"	0.0582919
"European Cup"	0.0580417
"Stamford Bridge"	0.0577702
"Buick Invitational"	0.0575295
"Giants Stadium"	0.0575116
Talladega	0.0573367
steeplechase	0.057198
"horizontal bar"	0.0571604
"Civic Arena"	0.057106
"Sears Point"	0.056806
"Texas Motor Speedway"	0.0565454
Carnoustie	0.0564158
"Lake Placid"	0.0563781
"New York City Opera"	0.0559701
"Pebble Beach"	0.0556676
"German Open"	0.0551479
"Italian Open"	0.0550264
relays	0.0547374
"Sundance Film Festival"	0.0542179
"Augusta National"	0.0541979
"Earth Summit"	0.05407
frac@@	0.053875
"Six Day War"	0.053865
prelim	0.0538538
"Great Western Forum"	0.053848
im	0.0536292
Gothenburg	0.0535932
"Sudirman Cup"	0.0532558
"Louisiana State"	0.0531227
"Uber Cup"	0.0531207
archery	0.0530134
"track meet"	0.0529304
"Monte Carlo"	0.0528505
"Brooklyn Academy of Music"	0.0524546
Gelsenkirchen	0.0523478
Darlington	0.0523298
"Soldier Field"	0.0518606
"Pacific Bell Park"	0.0515787
"NL Rookie"	0.0515532
"University of Oregon"	0.0515118
"Park City"	0.0515041
"New York Film Festival"	0.0512888
Indy	0.051281
Sahalee	0.0510478
"Continental Airlines Arena"	0.0509402
"Oak Hill"	0.0509324
Stuttgart	0.050776
"hammer throw"	0.0505178
"Grammy Awards"	0.0503331
"Foxboro Stadium"	0.050077
"Riviera Country Club"	0.0497579
"pole vault"	0.049594
"U.S. Amateur"	0.0495923
"East Lake"	0.049556
Meadowlands	0.04934
"Melbourne Park"	0.0493015
Longwood	0.0491011
"Olympic Stadium"	0.0490833
"Asian Cup"	0.0490746
"Indy @@@"	0.0490528
"Tour Championship"	0.0483544
Ironman	0.0483387
"Compaq Center"	0.0482683
Rockingham	0.0481218
"First Union Center"	0.0481145
"Republican Convention"	0.0477642
medley	0.0475544
Doral	0.047387
Vail	0.0471755
Dover	0.0471542
))
("Barcelona Olympics" (desc 2589) (sims
"Barcelona Games"	0.361111
"World Junior Championships"	0.34871
"Nagano Olympics"	0.28748
"Seoul Olympics"	0.260441
"Atlanta Olympic Games"	0.259216
"Atlanta Olympics"	0.249735
"Centennial Olympic Games"	0.240046
"World Figure Skating Championships"	0.207249
"Atlanta Games"	0.200607
"European Championships"	0.194077
"World Championships"	0.184785
"World Swimming Championships"	0.18223
"Pan Am Games"	0.180041
Asiad	0.169818
"Goodwill Games"	0.165064
Paralympics	0.163154
"Pan American Games"	0.160357
"World Athletics Championships"	0.157356
"Commonwealth Games"	0.155502
"Eighth National Games"	0.154952
"SEA Games"	0.153325
Universiade	0.153206
"East Asian Games"	0.150909
"Bangkok Asian Games"	0.150317
"National Games"	0.149824
"Nagano Winter Olympics"	0.149405
"World University Games"	0.146644
"Winter Olympic Games"	0.145665
"Olympic Trials"	0.144885
"Summer Olympics"	0.144714
"Asian Games"	0.142161
"Sydney Olympic Games"	0.140847
Nagano	0.14051
Albertville	0.139508
"Asian Championships"	0.138048
"Olympic Games"	0.133431
"Sydney Olympics"	0.132181
"Sydney Games"	0.130811
Lillehammer	0.125412
Barcelona	0.121161
"Southeast Asian Games"	0.120343
"Pan Ams"	0.118944
Olympiad	0.118282
"Summer Games"	0.115191
"Winter Olympics"	0.113444
"Asian Winter Games"	0.111432
"Summer Olympic Games"	0.10919
"Skate America"	0.106175
"World Table Tennis Championships"	0.102972
"World Cycling Championships"	0.10249
"Olympic Winter Games"	0.10091
Seville	0.0910617
"German Open"	0.0890428
"World Weightlifting Championships"	0.0885391
"Cannes Film Festival"	0.0881315
"Southeast Asian"	0.0862774
"European Swimming Championships"	0.0842963
"shot put"	0.0827622
"U.S. Olympic"	0.0810219
decathlon	0.0803295
"horizontal bar"	0.0793041
Hiroshima	0.0792865
"Loch Lomond"	0.0786251
Gothenburg	0.0775321
"Roland Garros"	0.0769866
backstroke	0.076354
"Winter Games"	0.0760532
"Cannes International Film Festival"	0.0758694
"Thomas Cup"	0.0755626
"European Championship"	0.0747456
"Canadian Open"	0.0718293
Super-G	0.0704426
relays	0.0692141
tourney	0.0678654
"pommel horse"	0.0669573
"World Basketball Championship"	0.0663603
breaststroke	0.064676
"Daytona @@@"	0.0638212
"Pikes Peak"	0.0631261
"Group B."	0.0629014
freestyle	0.0617502
"Spanish-American War"	0.061745
"Grammy Awards"	0.0616027
"New York City Marathon"	0.0611843
"Tour Championship"	0.0610832
"swimming meet"	0.0608344
"Winning Colors"	0.0605328
Heptathlon	0.0596944
"Grand Prix"	0.0591197
"swimming event"	0.0587047
"Federation Cup"	0.058674
"Lake Placid"	0.0585472
"Australian Open"	0.0583996
"French Open"	0.0580518
"high jump"	0.057409
"three-day event"	0.0572366
"table tennis"	0.0568885
"hammer throw"	0.0566148
dressage	0.0565806
"Boston Marathon"	0.0563771
im	0.056126
volleyball	0.0560959
steeplechase	0.0557963
"Asian Cup"	0.0556394
"track and field"	0.0555084
Helsinki	0.0549323
"Wesleyan University"	0.0541088
"long jump"	0.0540521
"Uber Cup"	0.0538497
"Sudirman Cup"	0.0538492
Edgbaston	0.0531997
prelim	0.0531792
pentathlon	0.0529134
medley	0.052882
"European Cup"	0.0527426
rowing	0.0526755
weightlifting	0.0523984
Gymnastics	0.0518625
"Six Day War"	0.051791
scull	0.0513529
Gelsenkirchen	0.0511517
"Olympic Stadium"	0.0509108
Imola	0.0506955
"Fed Cup"	0.0505288
"parallel bars"	0.0497276
"NL Rookie"	0.0495231
"figure skating"	0.0493853
"PGA Championship"	0.048545
javelin	0.0482949
"Indianapolis Motor Speedway"	0.0480776
"Michigan Speedway"	0.048002
Maurier	0.0478649
"Gold Cup"	0.0478602
"Watkins Glen"	0.0478514
"Pan Pacific"	0.0476094
Highbury	0.0470106
"Sydney Olympic"	0.046401
Ojai	0.0462361
"Earth Summit"	0.046049
NHIS	0.0459603
"double gold"	0.0458116
"United Republic of Tanzania"	0.0457358
judo	0.0457026
"Lipton Championships"	0.0456174
"field hockey"	0.0455761
Rockingham	0.0453764
"Copa America"	0.0452588
triathlon	0.0452404
"Indian Wells"	0.0451602
frac@@	0.0451292
"London Marathon"	0.0449595
Irwindale	0.0449083
"Pan Am"	0.0447999
"Bay Hill"	0.0445855
badminton	0.0445624
"Millrose Games"	0.0445325
"College World Series"	0.0443255
"Nations Cup"	0.0439982
"Division @"	0.0437156
receivership	0.0436902
"Basketball Championship"	0.0436419
"US Open"	0.0434436
Lahti	0.0434289
"League of Nations"	0.0433658
"pole vault"	0.0433128
Ironman	0.0432793
"Oslo Accords"	0.0431365
taekwondo	0.0427241
"Santa Anita"	0.042405
A.L.	0.0422449
Perth	0.0421174
archery	0.0418673
"World Group"	0.0418044
Eastbourne	0.0417013
"African Nations Cup"	0.0416634
"mental institution"	0.0416472
"Sacramento State"	0.0415788
"Shan State"	0.0413056
grindstone	0.041258
"Methodist Hospital"	0.0410754
Brickyard	0.0409709
Plata	0.0407531
"race riot"	0.0407357
"Republican Convention"	0.0407323
"East Berlin"	0.0406227
"East Lake"	0.0405661
biathlon	0.0405609
"United States Open"	0.0405278
"Idaho State"	0.0404133
"Group A."	0.0403566
"World Cup Finals"	0.040105
))
(Barclays (desc 3594.37) (sims
HSBC	0.158426
Dresdner	0.157441
UBS	0.150173
"Standard Chartered"	0.138325
BOC	0.13712
NatWest	0.130285
"Chase Manhattan"	0.129382
Emulex	0.1238
McKesson	0.12366
"Hang Seng Bank"	0.121218
"Bank of Scotland"	0.120399
"Thermo Electron"	0.115725
"Royal Bank of Scotland"	0.114446
"Deutsche Bank"	0.113327
Deutsche	0.109076
Starwood	0.10874
BofA	0.107992
WPP	0.107972
RJR	0.107834
"Credit Suisse"	0.107686
"Times Mirror"	0.106472
"HSBC Holdings"	0.106324
GEC	0.105947
BankAmerica	0.105221
"Niagara Mohawk"	0.103816
VENATOR	0.103171
"Bank of America"	0.102531
"RJR Nabisco"	0.102178
Sunbeam	0.101974
BankBoston	0.101614
SDB	0.100094
Commerzbank	0.0999263
Norwest	0.09975
"Waste Management"	0.0985543
Halliburton	0.0982622
"Washington Mutual"	0.0973691
Tenneco	0.0965768
Litton	0.096442
"Sara Lee"	0.0957971
Biogen	0.0951867
"First Union"	0.0947111
"Ford Motor"	0.0942739
"Phelps Dodge"	0.0935181
Asda	0.0933739
Westpac	0.0932361
CCB	0.0930779
Paribas	0.0929278
E-LOAN	0.0927694
"Hongkong Telecom"	0.0926503
Citigroup	0.0923117
Pitney	0.0922507
Warnaco	0.0919301
Georgia-Pacific	0.091794
Agilent	0.0910162
Ciena	0.0906203
"P&AMP;G"	0.09053
CMGI	0.0904877
BCE	0.0904322
Novell	0.0903834
Telefonica	0.0902905
"Times Co."	0.0902362
"Robertson Stephens"	0.0901744
"Bankers Trust"	0.089749
"Computer Associates"	0.0889737
BHP	0.0888271
"J.P. Morgan"	0.088732
UAL	0.0887203
SunTrust	0.0885801
Mattel	0.0877517
Healtheon	0.0876769
"Societe Generale"	0.087591
GANNETT	0.0867991
ANZ	0.0864717
"BP Amoco"	0.0862069
AMR	0.0860546
"HBO &AMP; Co."	0.0859542
"Y&AMP;R"	0.0858955
Mannesmann	0.0858869
"Merrill Lynch"	0.0857669
Pepsico	0.0855812
ALZA	0.0851165
SGI	0.0848221
Transamerica	0.0843977
Cendant	0.0842726
NiSource	0.0842703
"National Australia Bank"	0.0841644
AIG	0.0836414
"Paine Webber"	0.0836045
Penney	0.0835133
"U.S. Trust"	0.0834107
"Advanced Micro"	0.0833431
"News Corp."	0.0829208
"JDS Uniphase"	0.0827989
Checkfree	0.0827643
Genzyme	0.0827209
Terra	0.0824514
Amgen	0.0822552
ICI	0.0821052
"National Grid"	0.0820873
Daimler	0.0820372
Maytag	0.0819776
Aetna	0.0818864
Chiron	0.0816337
AMP	0.0815933
Alcoa	0.0812596
"ABN AMRO"	0.0810115
SkyTel	0.0806029
"Morgan Stanley"	0.0803088
"Travelers Group"	0.0802963
"Oracle Corp."	0.0800636
MiniMed	0.0797708
"State Street"	0.0794863
Menatep	0.0792721
"Rite Aid"	0.0791494
ACB	0.0789586
ADM	0.0789574
SmithKline	0.0789495
Glaxo	0.0784498
Fingerhut	0.0783641
"Texas Instruments"	0.0782233
"Silicon Graphics"	0.0782043
ICBC	0.0778703
"Stride Rite"	0.0777526
HKMA	0.0777032
Ameritech	0.077699
UAM	0.0776606
ING	0.0774502
"International Paper"	0.0773462
"Industrial Bank of Japan"	0.077235
Nabisco	0.0772205
CCE	0.0771352
GTE	0.077103
"Boston Scientific"	0.0769543
Medtronic	0.0768927
MACROMEDIA	0.076623
Honeywell	0.0764676
Gillette	0.0763978
"Coca-Cola Co."	0.0763962
Merrill	0.0762899
ExciteAtHome	0.0762814
XYLAN	0.0762197
Broderbund	0.0762155
Healtheon/WebMD	0.0760435
NationsBank	0.0760398
"Commonwealth Bank"	0.075979
"Gap Inc."	0.0759551
WorldCom	0.0759412
iXL	0.0758894
"American Express"	0.075871
Federated	0.0757572
"True North"	0.0757346
EMC	0.0756093
"Wells Fargo"	0.0755891
Schlumberger	0.0755471
LIFFE	0.0755315
REVLON	0.0753654
Bestfoods	0.0753576
Autodesk	0.0753321
"Bausch &AMP; Lomb"	0.0749969
"Bear Stearns"	0.0749817
TYCO	0.0748191
"Network Associates"	0.074763
"Con Ed"	0.0746919
Totalfina	0.0746832
Danka	0.0742269
Vodafone	0.0742131
Compaq	0.0741842
Stratus	0.0740257
"J&AMP;J"	0.0740044
"Goldman Sachs"	0.0739445
Clorox	0.0738028
"Royal Bank"	0.0731829
Lockheed	0.0731504
SAA	0.0730735
Eximbank	0.0730734
ENTREMED	0.0730579
Novartis	0.0729755
Scientific-Atlanta	0.0725545
"GE Capital"	0.0725319
"Pacific Century"	0.0724758
Telstra	0.0723245
Unilever	0.0722974
Alcan	0.0722164
Olivetti	0.0721187
Citibank	0.0720527
AlliedSignal	0.0718114
AutoNation	0.071695
Heinz	0.0716942
NORTHROP	0.0716822
MindSpring	0.0716157
TELLABS	0.0714265
Weyerhaeuser	0.0712096
"Berkshire Hathaway"	0.0710861
"Dresdner Bank"	0.0708691
Raytheon	0.070799
"U S West"	0.0707269
Tandy	0.0705561
"Credit Suisse First Boston"	0.0704987
"United Technologies"	0.0702957
E-Trade	0.0700229
))
(Bard (desc 6741.79) (sims
Shakespeare	0.0887227
"William Shakespeare"	0.0707685
poet	0.0676937
"Phil Collins"	0.0625589
mariachi	0.061008
"Paul Simon"	0.0609545
"Oscar Wilde"	0.0602528
Zydeco	0.0580273
"David Hare"	0.0544509
"Arthur Miller"	0.0540736
Tolstoy	0.0534891
Goethe	0.0522142
Hemingway	0.0504955
Sinatra	0.050163
Nabokov	0.0495058
Gershwin	0.048837
bluegrass	0.0487477
"Bing Crosby"	0.0484624
Vivaldi	0.0481708
Chaucer	0.0476318
"Frank Sinatra"	0.047375
scribe	0.0472212
Groening	0.0469742
Supremes	0.0469232
Playwright	0.0468282
MAMET	0.046255
Sorkin	0.0457423
Sondheim	0.0454578
Rabe	0.045119
Heaney	0.0447512
hodgson	0.044666
gospel	0.0445198
Springsteen	0.0445175
Borges	0.0444677
"Tom Jones"	0.0443559
novelist	0.0442366
Moliere	0.0437231
dramatist	0.0435119
Hatfield	0.0433693
karaoke	0.0432811
Truffaut	0.0430111
Vogel	0.0429511
calypso	0.04291
Presley	0.0425611
Naipaul	0.0424908
Ellington	0.0423158
philosopher	0.0421378
feline	0.0416794
"musical comedy"	0.0411699
"George Carlin"	0.0410767
Schubert	0.0410106
Hersh	0.0409513
Houdini	0.0407896
Eameses	0.0407248
"Steely Dan"	0.0405631
"Neil Simon"	0.0404267
"George Gershwin"	0.0403437
Dante	0.0400449
))
(bare-bones (desc 2129.85) (sims
no-frills	0.118863
shoestring	0.098183
nuts-and-bolts	0.0834304
midlevel	0.0748733
on-campus	0.0739914
self-service	0.072929
take-no-prisoners	0.0714258
minimalist	0.0704409
cost-conscious	0.0683277
"laissez faire"	0.0680792
Hands-off	0.0663282
Lego	0.0656129
"German language"	0.0653467
glitzy	0.0641095
maternity	0.0632478
handheld	0.0630518
bluesy	0.0615972
outpatient	0.0614322
mammography	0.0611206
"open air"	0.060963
Dickensian	0.0605524
midrange	0.0604768
debit	0.0598017
"Krispy Kreme"	0.0591356
GMC	0.0588884
"New Democrat"	0.0586273
Gigahertz	0.0586106
"free form"	0.0583508
spiffy	0.0574224
business-to-business	0.0573923
uptempo	0.0563668
B@B	0.0561952
rote	0.0561308
leasing	0.0558635
cartoonish	0.0555107
"art deco"	0.0553704
"back office"	0.054994
Stratus	0.0547923
"Office @@"	0.0547741
"number crunching"	0.0541516
"a la carte"	0.053608
videogame	0.0535932
multimillion	0.0534817
"dry cleaning"	0.0529674
five-point	0.0529449
"up to six"	0.0526056
cappella	0.052597
go-slow	0.0525145
escrow	0.0521578
multimedia	0.0519512
"first hand"	0.0519191
"space age"	0.0519047
CE	0.0514351
curbside	0.0514136
"beaux arts"	0.0509144
nt	0.0509096
housekeeping	0.0503191
"second hand"	0.0500415
two-night	0.0497053
"limited edition"	0.0496885
WordPerfect	0.0495031
thumbnail	0.0492964
"billion dollar"	0.0491412
childcare	0.0488558
quickie	0.0488551
"New Labor"	0.0488075
e-business	0.0485186
"Packard Bell"	0.0483662
flagship	0.0483404
midsize	0.0481935
"Census @@@@"	0.0480932
"this @@@@"	0.0480485
"social insurance"	0.047997
nuclear-weapons	0.0471735
backroom	0.0470961
Kirov	0.0470827
O'Connor's	0.0467047
eight-hour	0.0465847
Americanized	0.0462255
nutshell	0.0462034
"deficit reduction"	0.0460245
"wide screen"	0.0459228
asp	0.0458832
pre-@@@@	0.0458782
Bauhaus	0.0457215
Acela	0.0456728
glam	0.0456265
"Cliffs Notes"	0.0456082
PCI	0.0455993
"East Village"	0.0453338
"State Police"	0.0452354
Solaris	0.0451234
multibillion	0.0450666
megahertz	0.0450582
five-minute	0.0449738
"mental health"	0.0448849
Expedia	0.0447649
croquet	0.0447623
downbeat	0.0446728
DV	0.044636
his/her	0.0443676
"Windows CE"	0.0442495
lifesaving	0.0436434
scattershot	0.0434043
"U.S. government"	0.043322
kitschy	0.0433185
Englewood	0.0432924
Ivorian	0.0432835
Pentium	0.0432679
clunky	0.0431417
MSN	0.0431044
"Queen Anne"	0.0429574
small-business	0.0429415
"charge card"	0.0428856
deadend	0.0428433
nix	0.0427203
intranet	0.0426402
expansionist	0.0426141
"Stone Age"	0.0425781
gonzo	0.0425617
streetwise	0.0424669
proactive	0.0424366
Thinkpad	0.0422576
rebuilt	0.0421832
pro-western	0.0421025
singsong	0.0420968
contrarian	0.0420045
Eames	0.0418689
"Windows @.@"	0.0418421
"tax avoidance"	0.0417125
S-@@	0.0416256
hands-on	0.0414476
Braille	0.0413253
Opel	0.0412643
"cut rate"	0.0411451
"securities trading"	0.0411331
Clintonian	0.0411184
GT	0.0410657
Powerbook	0.0410604
Silverado	0.0409728
"Eastern European"	0.0408963
woodworking	0.0408946
profit-sharing	0.0407937
EKG	0.0405889
counterintelligence	0.0405633
NSC	0.0405051
healthcare	0.0404761
emachines	0.0404534
Matchbox	0.0404131
one-word	0.0401828
karaoke	0.0401034
"hot rod"	0.0400559
microfilm	0.0400141
))
("Barenaked Ladies" (desc 1398.96) (sims
"Sugar Ray"	0.151353
Menudo	0.125557
U@	0.112513
"N Sync"	0.107211
"Limp Bizkit"	0.105577
Phish	0.105335
Aerosmith	0.0982999
Metallica	0.0962437
MANA	0.0949831
R.E.M	0.093881
Hootie	0.0896199
"Sarah McLachlan"	0.0883546
Korn	0.0853304
Stillwater	0.084875
Blondie	0.0798591
"Dave Matthews Band"	0.0773389
"Pearl Jam"	0.0765566
"Backstreet Boys"	0.0759625
"Chrissie Hynde"	0.0685725
"Los Lobos"	0.0651055
"Sheryl Crow"	0.0638022
TLC	0.0627593
"Christina Aguilera"	0.061085
"Peter Gabriel"	0.0609035
"Ricky Martin"	0.0608524
"Dixie Chicks"	0.0607916
"Celine Dion"	0.0591939
"Indigo Girls"	0.0575933
"Mariah Carey"	0.0569217
Wilco	0.0556726
"Britney Spears"	0.0549233
musicologist	0.0545102
"Smashing Pumpkins"	0.0542082
Reel.com	0.049712
quintet	0.0491024
"Laurie Anderson"	0.0480414
"Marilyn Manson"	0.047828
Bjork	0.0466326
Dion	0.0465361
Profiler	0.0463967
"Andrea Bocelli"	0.0461891
dirk	0.0457927
"Red Hot Chili Peppers"	0.0451673
Yoakam	0.0450624
nirvana	0.044558
Mountie	0.0444083
"Marvin Gaye"	0.0442887
blowfish	0.0441978
"Lyle Lovett"	0.0441234
pulley	0.0436421
"BUENA VISTA SOCIAL CLUB"	0.0434183
"Diana Krall"	0.0429487
"George Michael"	0.0427192
"Boyz II Men"	0.0425835
CPR	0.0419629
snowboarder	0.0419444
"GLORIA ESTEFAN"	0.0413606
))
("Barents Sea" (desc 5984.43) (sims
"North Atlantic"	0.139077
"Arctic Ocean"	0.117462
"Adriatic Sea"	0.108008
"Sea of Japan"	0.107987
"Bay of Bengal"	0.102429
"Pacific Ocean"	0.101698
"rough water"	0.0926431
"Persian Gulf"	0.0847573
"Baltic Sea"	0.084559
"South China Sea"	0.0828029
"Bohai Bay"	0.0827528
"Yellow Sea"	0.0825123
Atlantic	0.0822341
"East China Sea"	0.081676
Aegean	0.0813177
"Aegean Sea"	0.0799706
Mediterranean	0.0789894
"Lake Victoria"	0.0782512
Khost	0.0781973
"Mediterranean Sea"	0.0777642
pacific	0.0766763
"Black Sea"	0.0742292
"Indian Ocean"	0.0724963
"Atlantic Ocean"	0.0722993
"Southern Ocean"	0.0707638
"North Sea"	0.0697318
"high sea"	0.067126
Adriatic	0.0669647
"Northern Fleet"	0.0656424
"Italian Alps"	0.0647832
cosmodrome	0.0591949
"Caspian Sea"	0.0581556
"Manila Bay"	0.057952
"Bohai Sea"	0.05787
"New York Harbor"	0.0577484
strait	0.0561559
quicksand	0.0557759
"Red Sea"	0.0556576
Gulf	0.0554478
Kursk	0.0551084
lagoon	0.055038
Eschede	0.054652
"Mount Lebanon"	0.0542923
"San Francisco Bay"	0.0510801
"Arabian Sea"	0.0500811
"South Pacific"	0.0498658
Omagh	0.0489989
Ipoh	0.048888
Maluku	0.0486597
gorge	0.0481777
"English Channel"	0.0481151
"South Atlantic"	0.0481036
parquet	0.0479454
"Gulf of Mexico"	0.047514
Europa	0.0467284
"Florida Keys"	0.0465094
airspace	0.046213
"Kickoff Classic"	0.0460932
basin	0.0460625
Orahovac	0.0456858
"ocean floor"	0.0455391
"territorial water"	0.0442327
Murmansk	0.043607
waters	0.0431472
Foxboro	0.0429798
"Dongting Lake"	0.0426097
"Boston Harbor"	0.0421679
crater	0.0415431
"Long Island Sound"	0.0412958
"Dead Sea"	0.0412326
Mosul	0.0411874
Seville	0.041116
ravine	0.0407303
Honduras	0.0403679
"San Bernardino"	0.040045
Khabarovsk	0.0400436
))
(bargain (desc 41240.8) (sims
compromise	0.103678
deal	0.0999852
discount	0.0968231
bargaining	0.0720697
fare	0.0718555
contract	0.0709735
opportunity	0.0692619
option	0.0677678
bet	0.0663376
ticket	0.0637375
concession	0.0636514
agreement	0.0635632
"good deal"	0.063417
gift	0.0633819
package	0.0610529
settlement	0.0601593
treasure	0.0599967
solution	0.0596438
thrill	0.0594233
arrangement	0.0593951
convenience	0.0593799
transaction	0.0592924
luxury	0.0592084
alternative	0.0591276
job	0.0589314
item	0.0587504
gamble	0.0583364
answer	0.0578077
money	0.0576426
value	0.057405
adventure	0.057283
plea	0.0571912
accommodation	0.0570252
pact	0.0567377
merchandise	0.055617
surprise	0.0555321
breakthrough	0.0553678
shopping	0.0551524
extension	0.0550686
offering	0.0549267
attraction	0.0549043
bonus	0.0548186
food	0.0548003
sum	0.054741
tradeoff	0.054617
fun	0.0545226
cure	0.054386
information	0.0541349
wine	0.0539794
premium	0.0538881
advice	0.0538797
guess	0.0538271
negotiation	0.0535894
sale	0.0535288
perk	0.053288
souvenir	0.0532857
leverage	0.0531114
choice	0.0530602
toy	0.0529176
accord	0.0528228
difference	0.0525741
payoff	0.052422
boon	0.0523543
Entertainment	0.0521891
guarantee	0.0517099
proposition	0.0514542
clue	0.0514514
buying	0.0514017
windfall	0.0513465
saving	0.0512856
Sacrifice	0.0512499
fee	0.0510135
leniency	0.0509869
incentive	0.0509753
bid	0.0508948
truce	0.0508623
accomplishment	0.0507867
lease	0.0507658
partnership	0.0506699
asset	0.0506199
reward	0.0504185
tool	0.0503587
special	0.0503169
talent	0.0502775
wage	0.0502149
"quid pro quo"	0.0501702
miracle	0.0501432
chance	0.0501174
cash	0.0498969
"tax break"	0.0498184
refund	0.0497685
disappointment	0.0497639
stuff	0.0497476
recipe	0.0497439
rebate	0.0497345
confrontation	0.0496546
investment	0.0495517
risk	0.0494706
novelty	0.0493229
salary	0.0492673
merger	0.0491059
vacation	0.0490329
"New Deal"	0.0490327
innovation	0.0490196
disaster	0.0489875
news	0.0489519
progress	0.0489518
"quick fix"	0.0487967
peace	0.0487068
"tax cut"	0.0486347
sentence	0.0484937
consensus	0.048459
improvement	0.0484582
"about $@@"	0.0483758
scenario	0.0482375
swap	0.0481887
trend	0.0480811
acquisition	0.047922
lesson	0.0478953
tip	0.0478757
credit	0.0478677
excuse	0.0474686
"role model"	0.0474399
success	0.047437
dialogue	0.0474225
amenity	0.0474151
rebound	0.0472338
"fresh start"	0.0470978
getaway	0.047029
spending	0.0470127
hike	0.0469432
compliment	0.0468744
goods	0.0467777
reduction	0.0467571
possibility	0.0467057
remedy	0.046643
meal	0.0466275
resource	0.046615
"cut rate"	0.0466116
distraction	0.0465975
anything	0.0465781
haven	0.0465705
cease-fire	0.046451
cooperation	0.0464177
"labor agreement"	0.0464114
turnaround	0.0463543
understanding	0.0462377
bonanza	0.0462169
niche	0.0460821
discussion	0.0460664
selling	0.0459621
advantage	0.0458624
profit	0.0457655
seller	0.0456967
safe	0.0456899
amount	0.0455628
evidence	0.0455593
hassle	0.0454824
dealings	0.0454791
"collective bargaining"	0.0454457
relief	0.0454359
"round of golf"	0.0454133
argument	0.0453839
venture	0.0453703
reconciliation	0.0452673
privilege	0.0451026
liability	0.0450708
buyout	0.0450388
wealth	0.0450376
secret	0.0449462
feat	0.0448941
commodity	0.0446459
suggestion	0.0446181
achievement	0.0445969
performer	0.0445112
furniture	0.0445081
certainty	0.0444236
outcome	0.0444227
impression	0.0444033
diversion	0.0443258
admission	0.044324
publicity	0.0442382
verdict	0.044235
necessity	0.0442195
mistake	0.0442122
"turning point"	0.0441023
adjustment	0.0439852
recognition	0.0439838
milestone	0.0439571
destination	0.0439565
loan	0.0439115
exemption	0.0438313
pleasure	0.0438271
flaw	0.0437829
comfort	0.0437557
intervention	0.0437022
selection	0.0436881
trading	0.043688
punishment	0.0436358
explanation	0.0436208
))
(bargain-hunting (desc 4114.13) (sims
"short covering"	0.257954
profit-taking	0.201755
buying	0.150187
selling	0.108545
hunting	0.0970974
"earnings report"	0.0898799
"takeover speculation"	0.0892012
"window dressing"	0.0824281
"New York Mercantile Exchange"	0.0822245
optimism	0.0778931
"cost cutting"	0.0778599
"Bombay Stock Exchange"	0.0760958
selloff	0.0753783
"Chicago Board of Trade"	0.0745577
buybacks	0.0739756
yen	0.0727677
upturn	0.0699944
sell-off	0.0669418
"earnings disappointment"	0.0643029
realignments	0.0628601
jitters	0.0616091
"rate cut"	0.0614809
"Board of Trade"	0.0591469
deal-making	0.0578671
"Chicago Mercantile Exchange"	0.0568861
soul-searching	0.0557199
sell-offs	0.0542604
"interest rate increase"	0.0542281
inflow	0.0537124
finger-pointing	0.0536634
"currency market"	0.053168
volatility	0.0528711
amnesia	0.0522669
selloffs	0.05149
"bond market"	0.0514423
"export sale"	0.0511185
"rain shower"	0.0509907
"bond price"	0.0495177
"technology issue"	0.0488114
"London Stock Exchange"	0.0487744
"bond investor"	0.0478833
"price increase"	0.0476632
divestitures	0.0474559
trash-talking	0.0473499
"elbow room"	0.0472313
"bond offering"	0.0471223
"New York Stock Exchange"	0.047091
peso	0.0468268
"asset sale"	0.0464588
"Singapore Stock Market"	0.0464531
"Tokyo Stock Exchange"	0.0463634
"price cutting"	0.0461601
overconfidence	0.0458814
perspiration	0.0458316
"futures market"	0.0452012
indigestion	0.0451967
"New York City schools"	0.0450267
"Toronto Stock Exchange"	0.0450026
"rate rise"	0.0449681
backsliding	0.0449119
"cumulus cloud"	0.0446771
"rate hike"	0.0443027
self-examination	0.0442545
skittishness	0.0441933
"futures trading"	0.0441811
"raw talent"	0.0439097
mega-mergers	0.0434959
"blue chip"	0.0433255
naivete	0.0433042
"hanky panky"	0.043109
"rising prices"	0.0430534
"blue-chip stock"	0.0430447
"job cut"	0.0428415
bemusement	0.0428315
easing	0.0428107
"Nasdaq Stock Market"	0.0427333
hyperinflation	0.0427216
scepticism	0.0427092
self-criticism	0.0426996
sentimentality	0.0426027
"sense of shame"	0.0418511
"more than @@@ points"	0.0418152
"price cut"	0.04175
homesickness	0.0417298
pessimism	0.0416663
"over @@@ points"	0.041494
"bond trader"	0.0413388
"price pressure"	0.0413043
closings	0.0411968
"detective work"	0.0411784
"investor interest"	0.0410864
euphoria	0.0409217
bronchitis	0.0407633
"waiting game"	0.0406374
contagion	0.0405996
altruism	0.0405034
gamesmanship	0.0404925
"warm front"	0.0404115
scrip	0.0402257
nervousness	0.0400117
))
(bargainer (desc 2114.12) (sims
conferees	0.24369
"conference committee"	0.142421
negotiator	0.109091
counterbid	0.10009
rank-and-file	0.087977
"ethics committee"	0.0774123
"oil slick"	0.0672524
CWA	0.0650781
"Frank Luntz"	0.0650622
UAW	0.0649329
"antitrust regulator"	0.0646574
"union representative"	0.0640287
"financial officer"	0.0621808
FOMC	0.0619633
"Communications Workers of America"	0.0607243
pugilist	0.0605716
"vote counter"	0.0604141
JMC	0.0591413
committeeman	0.0590835
"Republican Congress"	0.0585607
"IG Metall"	0.0585489
bigwig	0.0582767
Esser	0.0582613
PCC	0.0564648
balloonist	0.0564261
Chancellor-elect	0.0559644
backbencher	0.0558461
"goose bumps"	0.0557827
machinist	0.0557595
conventioneer	0.0556401
"rank and file"	0.055005
"Deutsche Bank AG"	0.0541457
flack	0.0539569
"Israeli Knesset"	0.0532907
CWC	0.0524635
inquisitor	0.0517189
"Abbott Laboratories"	0.0516616
"Islamic Development Bank"	0.0516073
"United Auto Workers"	0.0513527
"George E. Pataki"	0.0513075
GEC	0.0511368
"Mike Foster"	0.0509611
"Dennis Hastert"	0.0508885
Spadea	0.0508544
"Los Angeles City Council"	0.0507123
picketers	0.0505802
"Israeli Cabinet"	0.0505441
Anelka	0.0505143
"TV reporter"	0.0504854
"Joint Liaison Group"	0.0503537
bargaining	0.0498494
"Local @@@"	0.0497182
"House International Relations Committee"	0.0496145
"district line"	0.049544
"United States Congress"	0.0494267
"General Council"	0.0493806
"Interior Department"	0.049068
"John Henry"	0.0490423
"credit union"	0.0489141
JAT	0.0488764
"European Bank for Reconstruction"	0.0487322
refusals	0.0486625
"General Committee"	0.0484397
spokesmen	0.0483789
"Comcast Corp."	0.0483334
"Ways and Means Committee"	0.0482435
IGC	0.0480307
stevedore	0.0479708
"floor leader"	0.0479694
"BellSouth Corp."	0.047595
"form letter"	0.0474784
"purchasing agent"	0.0473937
"Provisional Ruling Council"	0.0473298
"security consultant"	0.0472589
chairmen	0.0471656
"wage scale"	0.04674
House-Senate	0.0467396
tactician	0.0466249
antagonist	0.0463186
"Rod Grams"	0.046286
ENTERGY	0.0462641
"budget debate"	0.0461966
"WorldCom Inc."	0.0460355
"Senate Budget Committee"	0.0459824
Chevys	0.0457578
disciplinarian	0.0457407
"China Airlines"	0.0457073
Omnipoint	0.0456219
"two @@-year-olds"	0.0455819
"Consultative Group"	0.0455074
Grbac	0.0454936
Delphi	0.0454603
"tax bill"	0.0452744
Alcan	0.0452625
shindig	0.045231
"Callista Bisek"	0.0451615
AFA	0.0451572
"leadership position"	0.0451139
PASSES	0.0449831
"district manager"	0.0449683
Sommer	0.0448408
Kulikov	0.0448115
"machinists union"	0.0447192
"campaign official"	0.0446474
officeholder	0.0446152
"Jim Gilmore"	0.0445935
Denktash	0.0444116
Boller	0.0443797
"Oak Tree"	0.0443754
Venables	0.0443354
"committee meeting"	0.0442459
"Department of Housing and Urban Development"	0.0442444
"Mannesmann AG"	0.0442296
DNC	0.044194
taskforce	0.0440563
"House Budget Committee"	0.0440039
"Senate Republicans"	0.0439928
Heche	0.0439506
isolationist	0.0437997
lawmen	0.0437626
"Glenn Hoddle"	0.0436634
"Ulster Unionists"	0.0436251
Daimler-Chrysler	0.0435766
"Senate Appropriations Committee"	0.0435715
"Guardian Council"	0.0434465
spokespeople	0.0434417
"drama critic"	0.043412
"press agent"	0.0433177
sledding	0.0431388
A@@@@	0.0431055
"Guy Millner"	0.043059
EBRD	0.0429114
MTA	0.0426712
Ciampi	0.0425967
"Aetna Inc."	0.0424909
mainlanders	0.0424769
"House Appropriations Committee"	0.0424762
"warm front"	0.0424247
blackmailer	0.0424001
"Office of Management and Budget"	0.042332
"British government"	0.0423181
overseer	0.0422085
councilwoman	0.0421605
filibuster	0.0421015
"Nuclear Regulatory Commission"	0.0420826
"tax collector"	0.0419272
Barzani	0.041819
Marinovich	0.0417728
"information officer"	0.0417618
JLG	0.0417384
"Congressional Republicans"	0.0416948
PSINet	0.0416785
"Parades Commission"	0.0416641
"Bill McCollum"	0.0415267
"North Africans"	0.0414903
Szabo	0.0414842
taskmaster	0.0414233
nonconference	0.0414082
Trailblazer	0.0414065
"James Rogan"	0.0413777
"Prime Ministers"	0.0413314
McCombs	0.0413111
Oneidas	0.0412769
bodybuilder	0.0412116
prizefighter	0.0411413
SDMI	0.0409781
marcher	0.0409592
"General Motors Corp."	0.0409333
"Nature Conservancy"	0.0408734
"ad blitz"	0.0408481
"Sheikh Saad"	0.0408384
"Linda Smith"	0.0408217
urchin	0.0406014
"Nortel Networks Corp."	0.0405837
HCFA	0.0405328
AHA	0.0404995
speechwriter	0.0403204
BNFL	0.040271
"US Supreme Court"	0.0402588
Kornberg	0.0402105
fast-track	0.0401806
"guessing game"	0.0401084
YankeeNets	0.0400675
belligerents	0.0400043
))
(bargaining (desc 18632.4) (sims
negotiation	0.152111
haggling	0.131164
wrangling	0.116043
discussion	0.0982016
compromise	0.0957981
deliberation	0.08644
dialog	0.0838999
finger-pointing	0.0825577
"collective bargaining"	0.0824638
debate	0.0820788
horse-trading	0.0811204
mediation	0.0805025
diplomacy	0.0790274
sparring	0.0779789
consultation	0.0773239
dialogue	0.0761455
disagreement	0.0742477
confrontation	0.0730396
deal-making	0.0724812
stalemate	0.0723496
bargain	0.0720697
campaigning	0.0717945
dispute	0.0698261
"merger talk"	0.0689525
parley	0.0689328
soul-searching	0.0687499
brinkmanship	0.0685723
back-and-forth	0.0675241
litigation	0.0659568
wrangle	0.0655044
bickering	0.0647539
acrimony	0.0633804
spat	0.062438
tussle	0.0623646
"price cutting"	0.0618305
interrogation	0.0618121
posturing	0.0614257
"saber rattling"	0.060928
dealings	0.0606743
arm-twisting	0.0601657
showdown	0.0600091
deadlock	0.0599744
conciliation	0.0593123
recrimination	0.0591744
conversation	0.0581915
"decision making"	0.0577898
go-slow	0.0576831
foot-dragging	0.0569176
questioning	0.0567809
maneuverings	0.0563835
rioting	0.0563484
bidding	0.0562364
speculation	0.0560987
shakeout	0.0560811
squabble	0.0558929
consolidation	0.055365
planning	0.0553291
impasse	0.0553232
coordination	0.0553162
argument	0.0550537
voting	0.0548662
preparation	0.0540265
selling	0.0538498
"legal proceeding"	0.0538049
pact	0.0536518
reconciliation	0.0534972
peace	0.0528863
shopping	0.0526751
veto	0.0526687
hand-wringing	0.0526549
Israeli-Palestinian	0.0524524
shelling	0.0524501
tug-of-war	0.0524242
standoff	0.0522867
feud	0.0522396
evaluation	0.0518916
bonding	0.0513422
arbitration	0.0513411
friction	0.0512568
fracas	0.0512514
"price war"	0.0511997
rift	0.0507494
consensus	0.050705
maneuver	0.0506416
inspection	0.0504773
inquiry	0.0503094
buying	0.0502998
digging	0.050025
discord	0.0499181
manhunt	0.04986
bargainer	0.0498494
panic	0.0498104
agitation	0.04967
self-examination	0.0496093
surveillance	0.049538
combat	0.0493091
enforcement	0.0491056
collusion	0.0490956
testing	0.0490023
tension	0.0487498
breakthrough	0.048703
pullback	0.0486955
electioneering	0.0486587
concession	0.0486499
drafting	0.0486278
"damage control"	0.0485175
quarrel	0.0484687
proceeding	0.0484338
warfare	0.0483692
"military action"	0.0482908
"public debate"	0.048058
rivalry	0.0480461
lawmaking	0.0480379
skirmish	0.0479748
fisticuffs	0.0479235
"written agreement"	0.0479011
misunderstanding	0.0478846
lockout	0.0471846
"price competition"	0.0471779
gamesmanship	0.0471238
adjustment	0.046938
Correction	0.0468984
"cost cutting"	0.0468652
stalling	0.0467577
triage	0.0467282
exploration	0.0467246
pricing	0.046625
give-and-take	0.0465055
"field work"	0.0464602
partisanship	0.0464325
"final decision"	0.0461654
reckoning	0.0461284
"bad blood"	0.046112
thaw	0.0460625
publicity	0.0460213
realignment	0.0459984
rapprochement	0.0459753
final-status	0.0457653
frenzy	0.045606
detente	0.0455817
tradeoff	0.0455539
recruitment	0.0455262
chaos	0.0454315
"name calling"	0.0452767
"physical therapy"	0.0452318
communication	0.0451544
"commercial activity"	0.0451145
confusion	0.0451121
partnership	0.0450943
"war game"	0.0449582
"summit meeting"	0.0449178
scrutiny	0.0448997
rancor	0.0447678
trading	0.0447321
marketing	0.0447182
registration	0.0447056
activism	0.0446963
controversy	0.0446842
"difference of opinion"	0.0446837
coaching	0.0445798
uncertainty	0.0442624
disarmament	0.0441411
animosity	0.0441368
leverage	0.0441148
duel	0.0440906
withdrawal	0.0439937
scuffle	0.0439299
polarization	0.0439244
dustup	0.0439135
rollout	0.0439044
"peace treaty"	0.0438605
"rate cut"	0.0437554
accommodation	0.0436777
manipulation	0.0436179
cutback	0.0435141
fixing	0.0434764
cover-up	0.0433633
reorganization	0.0433046
truce	0.0432958
persuasion	0.0431723
cleanup	0.0430751
hostility	0.0430703
flexibility	0.0430216
fact-finding	0.0429924
walkout	0.0429774
experimentation	0.0429726
teamwork	0.0429412
balloting	0.0427615
"work stoppage"	0.0427609
engagement	0.0427461
reunions	0.0427002
"pitched battle"	0.0425823
figuring	0.0425253
"double standard"	0.0424792
"business activity"	0.0423572
collaboration	0.0423024
censorship	0.0422329
in-fighting	0.0422039
excavation	0.0421946
referendum	0.0421644
))
("bargaining chip" (desc 5922.12) (sims
leverage	0.097714
"stumbling block"	0.0731717
buffer	0.0716769
go-between	0.07047
"measuring stick"	0.0689997
"reference point"	0.0670477
pawn	0.0670384
"sounding board"	0.0668689
"flash point"	0.0637958
"battering ram"	0.0632446
collateral	0.0614299
"starting point"	0.0598362
"smoke screen"	0.0583088
irritant	0.0582928
"trump card"	0.0582116
steppingstone	0.0580474
"rallying point"	0.0562853
smokescreen	0.055509
"guardian angel"	0.0549635
"drawing card"	0.0547021
Ransom	0.0545178
"test case"	0.0545176
disincentive	0.0544468
nonstarter	0.0534602
"cash cow"	0.0531365
identifier	0.052872
"base of operations"	0.0527015
"three pitchers"	0.0526995
interlocutor	0.0525171
lever	0.0525076
"white elephant"	0.051384
precedent	0.0505951
prerequisite	0.0501746
cog	0.0498752
conduit	0.0497022
"competitive advantage"	0.0496668
"point man"	0.0494062
intermediary	0.0490581
"role player"	0.0490171
ploy	0.0486872
"numbers game"	0.0486745
yardstick	0.0485874
middleman	0.0482895
breadwinner	0.0482755
puncher	0.0480235
scapegoat	0.0477558
guidepost	0.0476199
"punching bag"	0.047546
"turning point"	0.0472511
mediator	0.047149
"breathing space"	0.0470329
"point of reference"	0.046986
"stepping stone"	0.0469659
"building block"	0.0464115
no-brainer	0.0461393
headway	0.0459777
"question mark"	0.0459644
foot-dragging	0.0459452
"growth industry"	0.0458148
non-issue	0.0456391
first-rounder	0.0456275
flashpoints	0.0451084
"particle accelerator"	0.0447401
logjam	0.0446777
"guessing game"	0.0446666
"proxy fight"	0.0440438
precondition	0.0439308
"staging area"	0.0438667
nonevent	0.0437076
motivator	0.0437044
copout	0.0436021
deterrent	0.0434376
catalyst	0.0434352
surrogate	0.0433739
counterbalance	0.0433077
"tax liability"	0.0432596
"ownership stake"	0.0431208
foothold	0.0430784
toehold	0.0430756
springboard	0.0429819
"focal point"	0.0429201
playmakers	0.0428744
template	0.042657
entrepot	0.0426557
time-out	0.0424998
shipbuilder	0.0424928
subterfuge	0.0424879
barometer	0.0424176
synonym	0.0422504
impetus	0.0420007
criterion	0.0418709
additive	0.0418634
"breathing room"	0.0417606
"powder keg"	0.0416875
"break of serve"	0.0416596
thorn	0.0415415
aphrodisiac	0.0415251
"waiting game"	0.0414867
near-monopoly	0.041406
justification	0.04126
flashpoint	0.0411555
repository	0.0411326
splint	0.041102
beachhead	0.041045
milestone	0.0409917
wage-earner	0.0408688
tradeoff	0.0408401
"launching pad"	0.040757
"object lesson"	0.0406814
ruse	0.040651
linchpin	0.0405415
determinant	0.0404198
"Trojan Horse"	0.0404169
"almost $@@@ million"	0.0403586
"line of products"	0.0400509
))
(barge (desc 22579.6) (sims
freighter	0.189066
tanker	0.188292
"cargo ship"	0.18455
ship	0.171305
vessel	0.169526
boat	0.16143
"oil tanker"	0.161355
ferry	0.157707
"container ship"	0.146434
"fishing boat"	0.139535
yacht	0.137096
"cargo vessel"	0.132592
trawler	0.130589
tugboat	0.127774
truck	0.123295
warship	0.122821
"passenger ship"	0.117926
"cruise ship"	0.11691
"pleasure boat"	0.11586
sailboat	0.11495
raft	0.111847
speedboat	0.109945
submarine	0.109342
lorry	0.102538
"small boat"	0.101897
catamaran	0.0989216
frigate	0.0985101
helicopter	0.0981832
train	0.097412
rig	0.0951924
bus	0.0943993
airplane	0.0942758
"freight train"	0.0935494
rail	0.0932475
aircraft	0.0892324
plane	0.0888516
cargo	0.0886027
"tractor trailer"	0.0870234
motorboat	0.0857308
canoe	0.0852241
"cabin cruiser"	0.0848335
hovercraft	0.0841194
freight	0.0835758
Cruiser	0.083071
destroyer	0.0827002
locomotive	0.0826121
trolley	0.0826078
container	0.082566
"passenger train"	0.0825473
"patrol boat"	0.0824474
tank	0.0821492
"sailing ship"	0.0818169
gunboat	0.0817299
minibuses	0.0809556
vehicle	0.0797337
wagon	0.0793308
trailer	0.0788697
riverboat	0.0787039
watercraft	0.0784997
"New Carissa"	0.0779249
jeep	0.0773907
van	0.0772333
rowboat	0.0769105
tractor	0.0763535
taxi	0.0761498
craft	0.0760886
Crane	0.0754338
"dump truck"	0.0752398
sled	0.0748417
schooner	0.0747796
"oil rig"	0.07418
minibus	0.0719969
dinghy	0.071879
pier	0.0710089
"personnel carrier"	0.0699346
dock	0.0698264
"ocean liner"	0.069739
houseboat	0.0695471
Ambulance	0.0692739
"torpedo boat"	0.0672969
pipeline	0.0670048
"merchant ship"	0.0668749
steamboat	0.0666198
"fire truck"	0.0665656
"USS Enterprise"	0.0662978
"express train"	0.0661176
carriage	0.0658998
"commuter train"	0.0652456
C-@@@	0.0651926
"aircraft carrier"	0.0648949
bulldozer	0.0647324
battleship	0.064107
"motor vehicle"	0.0639728
jet	0.0633788
spaceship	0.0627141
"supply ship"	0.0626983
"cable car"	0.062641
"school bus"	0.0626377
Tram	0.0624893
semitrailer	0.0624759
"military vehicle"	0.0623323
glider	0.0622838
jetliner	0.0622668
bicycle	0.0620764
bomber	0.0620388
skiff	0.0619249
cart	0.0617122
"attack submarine"	0.061411
pontoon	0.0609013
"landing craft"	0.0607477
limousine	0.0607091
mini-buses	0.0602483
C-@@	0.0602316
"drilling rig"	0.0601653
shuttle	0.0595128
"police car"	0.0590131
shipping	0.0590081
Motorcycle	0.058976
"pickup truck"	0.058951
ferryboat	0.058903
tug	0.0585267
"railroad car"	0.0584249
powerboat	0.0583726
lifeboat	0.0583433
"power plant"	0.0578351
convoy	0.0574851
tractor-trailers	0.0574218
warplanes	0.0573238
chopper	0.0572661
"fire engine"	0.0571491
bridge	0.057116
hearse	0.0570627
sub	0.0570053
airship	0.0566698
sloop	0.0566512
Atlantis	0.056556
"mobile home"	0.0561719
railroad	0.0561192
steamer	0.0560329
minesweeper	0.0557488
riverboats	0.0553018
airliner	0.0552697
wharf	0.0551082
diver	0.0548034
fleet	0.0547588
Mini-bus	0.0546141
"cargo container"	0.0543888
bike	0.0543669
balloon	0.0542095
liner	0.0542038
passenger	0.0541201
automobile	0.0541126
spacecraft	0.0541115
frogmen	0.0539354
boater	0.0536182
kayak	0.0533606
pipe	0.0530337
hauler	0.0529785
Kursk	0.0528525
missile	0.0525899
Satellite	0.0524315
jetty	0.0521604
capsule	0.0519581
dam	0.0515847
Lighthouse	0.0514117
Learjet	0.051331
shipment	0.0511476
cutter	0.0511083
"storage tank"	0.0510019
Warehouse	0.0506887
snowmobile	0.0506832
carrier	0.0505516
derrick	0.0501781
reactor	0.050072
B-@@	0.0498851
waterway	0.0496156
Buggy	0.0495156
reservoir	0.0493628
Stretcher	0.0490421
crew	0.0490268
rickshaw	0.0489763
Fishermen	0.0488743
auto	0.0488213
railway	0.0488074
smuggler	0.0484182
highway	0.0483821
module	0.048279
cab	0.04815
Concordes	0.0479492
pickup	0.0479089
"shipping company"	0.047698
Cessna	0.0475719
platform	0.047557
"patrol car"	0.0474147
river	0.0471747
"subway train"	0.0470581
camper	0.0469973
dike	0.0468972
log	0.0468553
Humvee	0.0466235
))
(Bari (desc 5529.82) (sims
Udinese	0.270097
Venezia	0.248257
Cagliari	0.237701
Vicenza	0.234397
Sampdoria	0.215704
Piacenza	0.215014
Bologna	0.205035
Perugia	0.198205
Lecce	0.193625
Torino	0.173783
Empoli	0.169607
Internazionale	0.161169
Genoa	0.158456
Salernitana	0.157432
Verona	0.15415
Juventus	0.151151
Roma	0.150938
Parma	0.14972
Fiorentina	0.146409
"AC Milan"	0.144342
Napoli	0.142881
"AC Parma"	0.140772
Atalanta	0.140466
Heerenveen	0.125742
Galatasaray	0.115208
Milan	0.112681
"Inter Milan"	0.111412
Montpellier	0.110177
"Borussia Dortmund"	0.102919
Marseille	0.102866
Bastia	0.101578
Turin	0.101355
Salamanca	0.101218
Metz	0.100317
"Velez Sarsfield"	0.099912
PALERMO	0.099198
Schalke	0.0991541
"VfL Wolfsburg"	0.098834
Barcelona	0.0980396
Guayaquil	0.097861
Valladolid	0.0976647
Yokohama	0.0971791
"Kinder Bologna"	0.096998
"Newcastle United"	0.0964351
"Joannette Kruger"	0.0962214
"San Lorenzo"	0.0959749
Strasbourg	0.095742
"Nottingham Forest"	0.0955011
Brondby	0.0952437
Liverpool	0.0949925
Malaga	0.0945976
Kaiserslautern	0.0944874
Valencia	0.0943242
Gremio	0.0942773
Porto	0.094039
Middlesbrough	0.0940362
Eindhoven	0.0937351
Durres	0.0936912
Ajax	0.0926159
Tenerife	0.0923101
"Port Elizabeth"	0.0921052
Feyenoord	0.0918211
"Renzo Furlan"	0.0911698
Auxerre	0.091122
Anderlecht	0.0908088
"Leicester City"	0.0905978
Spartak	0.0903433
Karlsruhe	0.0902299
Murmansk	0.0901068
"Athletic Bilbao"	0.0895556
Necaxa	0.0894322
Everton	0.0893006
Nantes	0.0888825
Trondheim	0.0884729
Rostock	0.0883737
"Gianluca Pozzi"	0.0879764
Duesseldorf	0.0878321
Fenerbahce	0.0873353
Espanyol	0.0873328
Trieste	0.0872085
"Olympique Marseille"	0.0871161
Bremen	0.0871128
Klagenfurt	0.0867939
Nacional	0.0867311
Independiente	0.086031
Lazio	0.085763
Mallorca	0.0856709
Freiburg	0.0855184
"Colo Colo"	0.0850687
Lyon	0.0848286
Toulon	0.0845478
Leeds	0.084539
Olimpia	0.084494
Southampton	0.084393
Toulouse	0.0842963
Catania	0.0842444
Basle	0.0837777
Besiktas	0.0837608
"Schalke @@"	0.0836282
"VfB Stuttgart"	0.083553
Watford	0.0834564
"Slavia Prague"	0.0832781
"Rita Grande"	0.0831463
Shenhua	0.0826925
"Sturm Graz"	0.0816832
Rennes	0.0813635
Piraeus	0.0811145
Penarol	0.0805575
Beira	0.0802086
Inter	0.0799434
Paraguay	0.0799167
Zaragoza	0.0798877
Sidon	0.0798421
Stuttgart	0.079677
"Tottenham Hotspur"	0.0795804
"Davide Sanguinetti"	0.0791531
Bilbao	0.0791447
Malmo	0.0790916
Pisa	0.0789242
"Atletico Madrid"	0.0785568
Monterrey	0.0785313
Benfica	0.0785275
"Borussia Moenchengladbach"	0.0784498
"Manchester United"	0.0779612
Munich	0.0776754
"Real Madrid"	0.07755
Monaco	0.0771127
"Silvia Farina"	0.0769722
Halle	0.0769138
Naples	0.0768821
Gdansk	0.0767484
Aberdeen	0.0765877
Leicester	0.076468
Leverkusen	0.0760017
ZAGREB	0.0758912
Durban	0.0758901
"Chinese Army"	0.0758564
Adelaide	0.075847
"Celta Vigo"	0.0757082
Florence	0.07541
Bordeaux	0.0753883
"Partizan Belgrade"	0.0753641
Palmeiras	0.0750655
Lugano	0.074548
Vitoria	0.0744162
"Spartak Moscow"	0.0743799
"River Plate"	0.0740508
Sunderland	0.0739484
Osaka	0.0738463
Bormio	0.0737094
"Albert Portas"	0.0729652
Chisinau	0.072662
Novosibirsk	0.0726093
"Derby County"	0.0724647
"West Ham"	0.0722213
Manta	0.0720149
"Guangzhou Apollo"	0.0720015
Panathinaikos	0.0717095
"Coventry City"	0.0716429
Cardiff	0.0715856
MELBOURNE	0.0714977
Astana	0.0714504
Toluca	0.071445
Malta	0.0713338
Swardt	0.0711125
Oviedo	0.0710409
Charleroi	0.0709907
Zamalek	0.0707361
Rosenborg	0.0707357
Slovakia	0.070661
Gothenburg	0.0705928
Valletta	0.0705638
Charlton	0.0703184
Luca	0.0703023
Guadalajara	0.0702789
Dortmund	0.0702432
Goteborg	0.0702251
"Nicole Pratt"	0.0701671
"Paris St Germain"	0.0701139
"Miami Fusion"	0.0699907
Tapachula	0.0698398
Nagoya	0.0695344
Merida	0.0694832
Blackburn	0.0690472
Flamengo	0.0690052
"Red Star Belgrade"	0.0689658
"Werder Bremen"	0.0688302
"Aston Villa"	0.0688214
"Sao Paulo"	0.0687829
Rotterdam	0.0686926
Coventry	0.068629
BASEL	0.0686144
"Sparta Prague"	0.0686109
"Boca Juniors"	0.0685843
Wolfsburg	0.0682348
Calgary	0.068074
"Bayern Munich"	0.068071
Cebu	0.0679863
"Bayer Leverkusen"	0.0678329
Hamburg	0.067809
))
(baring (desc 2360.63) (sims
"Yamaichi Securities Co."	0.171501
"savings and loan"	0.114028
"Dai-Ichi Kangyo Bank"	0.109059
"Bankers Trust Corp."	0.0999229
cayman	0.09347
Sogo	0.0907967
ITT	0.0897778
"Long-Term Capital"	0.0846905
"Mexican peso"	0.0815575
Kia	0.0797855
"Nippon Credit Bank"	0.0791977
"HBO &AMP; Co."	0.0748737
USSR	0.0739763
Yamaichi	0.0715023
"Long-Term Capital Management"	0.0713579
Media-MOST	0.07047
"Coca-Cola Enterprises"	0.0695103
"Robertson Stephens"	0.0692191
PRIMESTAR	0.0690578
"Y&AMP;R"	0.069042
"Securities Industry Association"	0.0687527
"East African Community"	0.0686555
CUC	0.0686143
"Ottoman Empire"	0.0685029
"U.S. Trust"	0.0671273
ARCO	0.0669226
"Quick &AMP; Reilly"	0.0664575
"Digital Equipment Corp."	0.0655811
"Coca-Cola Co."	0.0643984
"Bank of New York"	0.0640543
Sunbeam	0.0634555
"Times Mirror Co."	0.0618139
AIG	0.0609774
BofA	0.0605346
"Thermo Electron"	0.0604814
"Sprint Corp."	0.0601601
BBDO	0.0601384
Menatep	0.0601334
NatWest	0.0590803
"Met Life"	0.0587845
ING	0.0587567
SAS	0.0585821
"Orange PLC"	0.0584011
Barclays	0.0581493
"RJR Nabisco"	0.0578715
"Harvard Pilgrim"	0.0577191
TAZARA	0.0576693
Paribas	0.0576505
"A.R Baron"	0.0567308
Livent	0.0564332
"Eastern Airlines"	0.0563803
ZCCM	0.0560905
"civil defense"	0.0558625
"Credit Suisse"	0.0558484
PolyGram	0.055369
ABSA	0.0553331
PaineWebber	0.055137
ADM	0.0551132
"Bank of Scotland"	0.0550329
footbridge	0.05496
thrift	0.0548594
"Oracle Corp."	0.0548543
"Time Inc."	0.0547564
"Chrysler Corp."	0.0545225
public-relations	0.0544832
"General Electric Co."	0.0543712
Dresdner	0.0539792
Gitic	0.0537775
"Times Co."	0.0536481
"America West Airlines"	0.0536448
"Raytheon Co."	0.0534907
"auto company"	0.0534884
"Cadbury Schweppes"	0.0528674
Chiquita	0.0528614
"investment house"	0.052833
BankAmerica	0.0528112
"Western Union"	0.0527942
"Fred Meyer"	0.0527285
"Georgia Power"	0.0525619
"BankBoston Corp."	0.0523785
Comsat	0.0521217
midlevel	0.051913
All-Tech	0.0516284
MBNA	0.0516193
GANNETT	0.0512137
"Viacom Inc."	0.0512045
Drexel	0.0510482
"Tribune Co."	0.0509276
"Hearst Corp."	0.0508612
"network programming"	0.0507551
"GE Capital"	0.0504815
tailwind	0.0502153
Deutsche	0.0502132
"Livent Inc."	0.0502017
BIA	0.0499785
"Bankers Trust"	0.0496527
Publicis	0.0496263
HSBC	0.0495252
"Trans World Airlines"	0.0494449
SmithKline	0.04928
"League of Nations"	0.049193
"True North"	0.0488311
Daewoo	0.0487747
"steel company"	0.0487088
Pairgain	0.0484981
BSKyB	0.0484074
"United Way"	0.048331
Sumitomo	0.048253
MetLife	0.0481624
Lilco	0.0481226
UPI	0.0480526
Silverado	0.0479727
"Saatchi &AMP; Saatchi"	0.0477425
HBOC	0.0475163
CAA	0.0474556
"Conde Nast"	0.0473485
Lamborghini	0.0473352
"finance company"	0.0472765
"Boys Ranch"	0.0472001
"merger talk"	0.0471652
Iridium	0.0471091
"bus company"	0.0469767
"Waste Management"	0.0469254
ENTERGY	0.0468636
"Cathay Pacific Airways"	0.0468469
"Tele-Communications Inc."	0.046736
"Blue Cross"	0.0467204
Sotheby's	0.0466939
"Times Mirror"	0.0465509
"Bay Networks"	0.046306
ACOG	0.0461677
"Nippon Credit"	0.0458621
"Atlanta Committee"	0.0457682
SBA	0.0457467
Ingalls	0.0455681
Infoseek	0.0454938
Norwest	0.045431
Tropicana	0.0453736
"community newspaper"	0.0453708
"Turner Broadcasting"	0.0453374
"Societe Generale"	0.0453364
Daimler-Benz	0.0452869
"London Club"	0.0452591
Mobil	0.0451994
"merchant bank"	0.0451831
NationsBank	0.0450552
"Xerox Corp."	0.0450312
"JP Morgan"	0.0450238
"General Motors Corp."	0.0449834
"Dresdner Bank"	0.0449095
"Washington Mutual"	0.044898
"Learning Company"	0.04467
"China Airlines"	0.0446505
LTCB	0.0445712
"Gulf Air"	0.0445283
EgyptAir	0.0444373
"Supreme Soviet"	0.0442415
Chrysler	0.0442258
rover	0.0441622
"movie studio"	0.0441151
Comelec	0.0440444
ALZA	0.0438788
REALTY	0.0438666
McKesson	0.0438466
Mabetex	0.0438355
"Mobil Corp."	0.0437041
"Russian bank"	0.0436029
Airtouch	0.0435769
"power company"	0.0435314
WNBF	0.0435058
Alcan	0.0434678
"Warner-Lambert Co."	0.0434
"Koch Industries"	0.0433716
"Fallon McElligott"	0.0432263
Sidanko	0.043214
"Computer Associates"	0.0431621
"Philippine Airlines"	0.0431583
Ico	0.0431175
Viacom	0.0430806
"Delta Airlines"	0.0430709
"Kraft Foods"	0.0430112
"Burlington Northern"	0.0430012
UBS	0.0429877
Conrail	0.0428344
Astra	0.0426499
counterterrorism	0.0426421
Soros	0.042471
"Salt Lake Organizing Committee"	0.0424667
UAL	0.0423415
"Learning Co."	0.0422559
"Thomson CSF"	0.0422484
Asda	0.0422305
"Alaska Airlines"	0.0421499
flamingo	0.0421424
"Berlin Wall"	0.0421344
Texaco	0.0421312
"trucking company"	0.0421305
MindSpring	0.0420072
Rolls-Royce	0.0419695
Westinghouse	0.0418501
))
("Barisan Nasional" (desc 1560.97) (sims
"United Malays National Organization"	0.205535
BN	0.195872
"Zimbabwe African National Union-Patriotic Front"	0.182845
Lakas-NUCD	0.170875
"Canadian Alliance"	0.170562
"National Front"	0.152515
"Democratic Left"	0.150208
"National Democratic Alliance"	0.144762
"New Korea Party"	0.137524
PASOK	0.135307
"Democrat Party"	0.133513
UF	0.133069
"Christian Democratic Union"	0.126971
"Motherland Party"	0.126391
Zajedno	0.125957
Zanu-pf	0.117963
MMD	0.117906
center-right	0.116872
MPLA	0.116376
PDP	0.116327
"Rwandan Patriotic Front"	0.116124
FRELIMO	0.115461
"Nepali Congress"	0.114451
"Lesotho Congress"	0.114301
"Pakistan Muslim League"	0.114008
NDA	0.110781
"National Action"	0.109888
"Malaysia Airlines"	0.109312
NKP	0.109077
"Kenya African National Union"	0.107591
RPR	0.107502
ZANU	0.104219
PML-N	0.104131
UNIP	0.103787
CCM	0.103585
"United Front"	0.103465
"Awami League"	0.103029
"New Zealand First"	0.102818
"Colorado Party"	0.101511
NRM	0.101083
"Democratic Left Party"	0.0997432
"Liberal Party"	0.0989372
"Croatian Democratic Union"	0.0984197
Kanu	0.0982484
NDP	0.0973048
"Social Democratic Party"	0.0966365
"Democratic Revolution"	0.0954854
"Cambodian People's Party"	0.0949068
"House Budget Committee"	0.0948795
"General Council"	0.0946702
"Nationalist Party"	0.0942078
"Multimedia Super Corridor"	0.0935341
Golkar	0.0908952
"National Democratic Party"	0.0898967
"Asian Football Confederation"	0.089839
"Banking Committee"	0.0890756
"People's Alliance"	0.0888145
"Christian Democratic Party"	0.0861174
UDF	0.0860355
"Revolutionary Party"	0.0858418
Awami	0.085478
"African National Congress"	0.0848103
Renamo	0.084741
"Welfare Party"	0.0838556
"National Religious Party"	0.0838434
"Likud Party"	0.0831877
"State Peace and Development Council"	0.081941
"Golkar Party"	0.081897
"National Resistance Movement"	0.0814118
"People's Democratic Party"	0.0813749
Likud	0.0813372
UMNO	0.0808424
BJP	0.0808246
"Senate Budget Committee"	0.0796122
"United Liberal Democrats"	0.0795806
Meretz	0.0794769
"National League for Democracy"	0.0794641
RP	0.0794124
"Georgia Republican"	0.079369
"People's Party"	0.078966
"Christian Social Union"	0.078284
"Herri Batasuna"	0.0780861
"Christian Democrat"	0.0778136
"Bharatiya Janata Party"	0.0777558
"Civic Democratic Party"	0.0777362
FORD-Kenya	0.0766624
PDI	0.0764517
"Conservative Party"	0.0760924
CDU	0.0759118
"Christian Democrats"	0.0756758
"National Party"	0.0756637
"Institutional Revolutionary Party"	0.0756247
PML	0.0755926
"Parti Quebecois"	0.075353
"Bangladesh Nationalist Party"	0.0752442
"Social Democrats"	0.0752425
"State Law and Order Restoration Council"	0.0749404
"Senate Governmental Affairs Committee"	0.0748784
"Socialist Party"	0.0740824
SDLP	0.0733538
"New Democracy"	0.0730808
SDP	0.0730092
"Labor Party"	0.0726013
"True Path Party"	0.0716477
Lakas	0.0715946
"Islamic Salvation Front"	0.0713797
Tory	0.0711941
"Democratic Progressive Party"	0.0708019
"Congress Party"	0.0707526
FUNCINPEC	0.0706625
"Liberal Democratic Party"	0.0705401
"Center Party"	0.070534
UML	0.0704636
"Democratic Alliance"	0.0704427
"Free Democratic Party"	0.0699398
AmCham	0.0693061
"Ulster Unionist"	0.0690718
DPP	0.0688935
DYP	0.0687202
Sakigake	0.0679883
Jamaat-e-Islami	0.0679687
"Rules Committee"	0.0674602
DSP	0.0673423
"Ong Ewe Hock"	0.0672464
PDI-P	0.0670358
ANAP	0.0669854
pro-Islamic	0.0667242
"House International Relations Committee"	0.0667233
"Central Election Commission"	0.0663391
"Russian Communist Party"	0.0663323
Pd	0.066103
Zairian	0.0659054
"Commerce Committee"	0.0658979
"United National Independence Party"	0.0655239
CPN-UML	0.0654815
RPP	0.0654259
"Freedom Union"	0.0652877
"United Democratic Movement"	0.0650915
NC	0.0649729
ANC	0.0646505
"National Economic Council"	0.0644118
"Popular Party"	0.0637703
"Islamic Movement"	0.063481
"Janata Dal"	0.0632246
"Ministry of International Trade and Industry"	0.0630668
"Senate Appropriations Committee"	0.0630559
"Cheah Soon Kit"	0.0626362
"Caribbean Community"	0.0625002
royalist	0.062354
ICA	0.062251
"Nahdlatul Ulama"	0.0618835
BNP	0.061733
"NZ First"	0.0616913
"Council of State"	0.0615434
EX-COMMUNISTS	0.061495
Yabloko	0.061478
PAP	0.0609734
NDF	0.060966
"National Congress"	0.06074
CPP	0.0604951
Laban	0.0604082
"Social Democrat"	0.0601771
"U.S. Soccer Federation"	0.0600172
"Universal Pictures"	0.0600141
"Democratic Senatorial Campaign Committee"	0.0599666
Totalfina	0.0599502
"Patriotic Union of Kurdistan"	0.0599471
RNC	0.0599403
Sandinistas	0.0598907
"Virtue Party"	0.0598657
"National Alliance"	0.0595668
"National Defense Commission"	0.059431
"House Government Reform Committee"	0.0594015
"Democratic Unionists"	0.0593817
six-point	0.0593708
"Free Democrats"	0.0591756
"Northern Irish"	0.0591169
Shas	0.0590833
LDP	0.0587189
"Atomic Energy Commission"	0.0586336
"Electoral Commission"	0.0583775
"Republican House"	0.0583288
"Kosovo Albanian"	0.058305
Belarussian	0.0582689
Histadrut	0.058209
"Kuala Lumpur Stock Exchange"	0.0580418
SPD	0.058032
MCA	0.0579957
"New York Republican"	0.0579067
"Chart Pattana"	0.057686
"House Commerce Committee"	0.0576451
DLC	0.0574255
"Baath Party"	0.0571288
PPI	0.0571241
pro-western	0.0570177
"Black Panther"	0.0569987
DAP	0.0567178
KPA	0.0566576
"Meretz Party"	0.0565582
"Interior Secretary"	0.056479
))
(baritone (desc 8130.8) (sims
tenor	0.123134
drawl	0.11367
soprano	0.104966
mezzo-soprano	0.0971552
Alto	0.0963224
monotone	0.0954175
falsetto	0.0912328
"singing voice"	0.0783633
Sax	0.0759795
accent	0.0759178
vocals	0.074572
Bass	0.0745189
patois	0.0741282
pianist	0.0719625
violinist	0.0696701
tone	0.0680674
cadence	0.0679661
Aria	0.0657257
soloist	0.0647045
trumpet	0.0645115
saxophone	0.063832
timbre	0.0637917
trombone	0.0627454
cellist	0.0617617
"opera star"	0.0607699
accompanist	0.0607183
singer	0.06062
ballad	0.0604961
cello	0.0604605
"acoustic guitar"	0.0598115
twang	0.059495
growl	0.0582066
guitar	0.0580355
chorus	0.0574409
piano	0.0572017
violin	0.0565518
Lullaby	0.0557587
"Placido Domingo"	0.0557565
voiceover	0.0555826
conductor	0.054468
prose	0.0543705
singing	0.0543685
nobleman	0.053117
musicologist	0.0530592
guitarist	0.0526984
Flute	0.0524877
"tone of voice"	0.0508715
composer	0.0506782
intonation	0.0506745
duet	0.0501068
dramatist	0.0499806
tuba	0.0498853
orchestra	0.0498293
photojournalist	0.048978
"character actor"	0.048973
choir	0.0489271
"stage manager"	0.0486353
vocalist	0.047992
"stage director"	0.0479529
unison	0.0478853
rendition	0.047698
"ballet dancer"	0.0476095
melody	0.0475311
"art historian"	0.0473374
clarinet	0.0466981
repertory	0.0464388
verse	0.0463906
clarinetist	0.0461066
"jazz musician"	0.0459073
accordion	0.0456426
saxophonist	0.0452649
"piece of music"	0.045057
trio	0.0449937
soliloquy	0.044555
poet	0.0443099
quartet	0.0442542
harmonica	0.0441483
trumpeter	0.043703
narration	0.0436439
songwriter	0.0436344
"private eye"	0.0436303
"chamber orchestra"	0.0434938
Viola	0.0429294
"jazz band"	0.0429198
sensibility	0.0429051
choreographer	0.0428954
instrumentalist	0.0424963
"good looks"	0.0424677
vibrato	0.0424544
"electric guitar"	0.0424203
repertoire	0.0423461
eloquence	0.0420981
acoustic	0.0420699
"sea captain"	0.042016
dialect	0.041992
percussion	0.041946
barrister	0.041829
stallion	0.0416874
diction	0.0416862
heroine	0.0415314
"folk singer"	0.0414731
whine	0.041441
ensemble	0.0414365
riff	0.041432
groove	0.0414293
voice-over	0.0414018
Playwright	0.0412611
chord	0.0412311
diva	0.0411483
Pavarotti	0.0411238
sextet	0.0410672
sculptor	0.0410146
"folk song"	0.0409349
"string quartet"	0.0409004
flutist	0.0408187
twit	0.040685
painter	0.0405333
idiom	0.0402444
rasp	0.0402032
comedian	0.0401795
))
(bark (desc 14356.3) (sims
leaf	0.119369
twig	0.0857755
bough	0.0855118
skin	0.0793456
sapling	0.0788763
stalk	0.0751417
foliage	0.0738502
stem	0.0730604
mulch	0.0709616
vine	0.0706729
berry	0.0697686
trunk	0.0663612
Canopy	0.0656023
fruit	0.0634278
needle	0.0626851
pollen	0.0601254
sand	0.0597863
blossom	0.0597052
flesh	0.0579874
limb	0.0577084
herb	0.0571888
topsoil	0.0571864
plaster	0.0567678
soil	0.0558542
brick	0.0558407
husk	0.0553885
plastic	0.0552217
seedling	0.0548807
cardboard	0.054405
grass	0.0542782
Straw	0.0530511
shingle	0.0530034
Concrete	0.0521508
petal	0.0520225
frond	0.0516027
compost	0.0515596
vegetation	0.0507104
asphalt	0.0502748
hair	0.0498106
Oak	0.0497745
sandstone	0.0496898
shrub	0.0496829
seaweed	0.0495124
tile	0.0491735
fungus	0.0487458
meat	0.0487125
fabric	0.0483763
"flowering plant"	0.0483562
bone	0.0482245
insulation	0.0481103
plantain	0.0476509
vegetable	0.0474078
paneling	0.0469892
Bud	0.0469404
dirt	0.0468817
clay	0.0467872
texture	0.0465614
metal	0.0464747
bread	0.0463982
scent	0.0461765
flooring	0.0458742
underbrush	0.0458065
"tree trunk"	0.0454542
silk	0.045414
gravel	0.0453975
fiber	0.0453637
tomato	0.0453289
mud	0.0451889
cedar	0.0451266
molding	0.045111
vinyl	0.0450946
bamboo	0.0448995
acorn	0.044739
"ground cover"	0.0446035
shade	0.0444724
linen	0.0443887
ribbon	0.0442808
tissue	0.0440889
fuzz	0.0439908
manure	0.0434654
Tuber	0.0433594
clump	0.0432614
poinsettia	0.04321
potato	0.0431371
stump	0.0429732
silt	0.0429448
"tree branch"	0.0428589
nut	0.0428543
pulp	0.0425728
Plywood	0.0423542
cotton	0.0423215
sod	0.0422475
insides	0.0422196
facade	0.0422075
feces	0.0418504
gauze	0.0417949
muck	0.0417663
wool	0.0417513
"plastic wrap"	0.0415063
Garlic	0.0414005
slab	0.0412658
Grove	0.0409324
carpeting	0.0408911
crust	0.040879
cutting	0.0408093
limestone	0.0407991
droppings	0.0406946
wax	0.0406716
veneer	0.0405942
fur	0.0401509
veggie	0.0401493
evergreen	0.0401147
carrot	0.040018
))
(Barker (desc 6577.89) (sims
Cline	0.0857818
Pirro	0.0734697
Fahey	0.069738
Peters	0.0684716
Waxman	0.068413
Reyes	0.0678558
Vasquez	0.0671086
Welch	0.0668592
Sheppard	0.066585
Waugh	0.0665381
Menchu	0.0664606
Tilberis	0.0662825
Hess	0.0661221
Simmons	0.0658249
Gutman	0.0657048
Hensley	0.065489
Caddell	0.065341
Brock	0.0652638
Goldstein	0.0650598
Marquez	0.0649762
Cooke	0.0648039
Shulman	0.0645478
Dowd	0.0645164
Silverman	0.0643234
Laudrup	0.0639967
Schwartz	0.0637108
Sills	0.0636935
Berenson	0.0635801
hale	0.0634373
Copeland	0.063187
Alvarez	0.0629327
Hartley	0.0628794
Brennan	0.0628574
McDonnell	0.0627032
Arbour	0.0626973
Bedell	0.062288
Harris	0.0620061
Kubrick	0.0619246
Frankel	0.0617113
Ramirez	0.0616145
Barton	0.0615476
Hawkins	0.0614987
Salinas	0.0613935
Hanley	0.0613551
Skakel	0.0612035
Christensen	0.0611589
Greer	0.0610641
Farris	0.0609953
Mukora	0.0609606
Ricci	0.0609232
Abernathy	0.0607006
Larson	0.0606691
Dixon	0.0604928
Coleman	0.0604429
Wright	0.0603281
Bowers	0.0603137
Pena	0.0602637
Weil	0.0601134
Griffith	0.0597152
Gotti	0.0596405
Edson	0.0596268
Burke	0.0594701
Garvey	0.0594457
Kendall	0.0590963
Goodman	0.0590481
Berlusconi	0.0589546
Shriver	0.0588332
Benton	0.0588272
Briscoe	0.0587885
Diaz	0.058695
Jamison	0.0584772
Baum	0.058352
Woodward	0.0583339
O'Brien	0.0582034
Haney	0.0581941
Hoddle	0.0581144
Stayner	0.0577784
Hagen	0.0577773
Nichols	0.0576726
Kaplan	0.057616
Trevi	0.0573745
Edwards	0.0573567
Ferguson	0.0572197
Robison	0.0571638
Elliott	0.0570844
Krall	0.0570243
O'Leary	0.05698
Rosen	0.056909
Schmalensee	0.0568535
Sheinbein	0.0567206
Hamill	0.0566722
McCourt	0.056634
Doyle	0.0565063
Bisek	0.0564219
HELLER	0.0562862
Madden	0.0562685
Murray	0.0562528
Chapman	0.0560976
Espinosa	0.0560745
Jensen	0.0560543
"El Hage"	0.0559175
Johnston	0.0557443
Tuttle	0.0557276
Harrington	0.0557225
Torres	0.0557097
Betts	0.0557091
Cochran	0.0556799
Lindsey	0.0554954
Yates	0.0553603
Schulz	0.0553493
Rivlin	0.0553062
Garza	0.0552759
"Patsy Ramsey"	0.0552647
Gomez	0.0552328
Rosenthal	0.0551723
Barrett	0.0551253
Wasserstein	0.055124
Presley	0.0550134
Carlson	0.0550076
Greenberg	0.054978
Maher	0.0548898
Russo	0.0548333
Snyder	0.0547927
Tucker	0.0547909
Patten	0.0547852
Blackman	0.0547814
Beckwith	0.0547115
potter	0.054704
Keenan	0.0546894
drake	0.0546714
Lewis	0.0546185
Suarez	0.0546085
Campos	0.0545943
Rivera	0.0545284
Grunwald	0.054498
Hoffman	0.0544563
Huang	0.0544407
Forrest	0.0543223
Kirkpatrick	0.0543178
Ivey	0.0541674
Cleary	0.0541211
Havel	0.0540535
McPherson	0.0540512
Flores	0.0539978
Watkins	0.0539833
Ramsey	0.0539641
Vogel	0.0539556
Rodriguez	0.0539524
Jarvis	0.053929
Sang	0.0539038
Mfume	0.0536785
Lowry	0.0536329
Reid	0.0536171
Dobbs	0.0536166
Oliver	0.0535894
Shipman	0.05358
Schmidt	0.0535576
Cunningham	0.0535013
Combs	0.0534556
Adair	0.0533455
Hodges	0.0533285
Quinn	0.0531994
pressman	0.0531569
Levin	0.0531529
Martorano	0.0531085
Gallagher	0.0530512
McMahon	0.0530281
Wiggins	0.0529864
Merritt	0.0529537
Boone	0.0529328
McVeigh	0.0529243
Wolfe	0.0529199
Harvey	0.0529173
Boyle	0.0528974
Botha	0.0528837
Patterson	0.0528697
Woodard	0.0528645
Valentin	0.0527262
Garrett	0.0527066
Armstrong	0.0526988
Maxwell	0.0526987
Sorensen	0.0526909
Bennett	0.0526728
Holmes	0.0526545
hogan	0.0526474
Geiger	0.0526136
Sato	0.0526106
Cheever	0.0525721
Nilsson	0.052554
Rashid	0.0525455
Phillips	0.0525225
Hatfield	0.052518
Akers	0.0525035
Richards	0.0525003
Bowman	0.0524952
Daniels	0.0524327
McLaughlin	0.0523741
Steele	0.0523205
Kimeses	0.0522365
Schott	0.0521852
))
(Barkley (desc 19778) (sims
"Charles Barkley"	0.164776
Olajuwon	0.157962
Pippen	0.149534
McDyess	0.129773
Ewing	0.128403
Bryant	0.121057
Malone	0.121021
Hardaway	0.118234
Drexler	0.115936
Rodman	0.115831
Sprewell	0.113807
"Hakeem Olajuwon"	0.11279
"Erick Barkley"	0.110781
O'Neal	0.108046
"Patrick Ewing"	0.104823
"Scottie Pippen"	0.103544
duncan	0.0997591
MARBURY	0.0997118
Johnson	0.0941518
"David Robinson"	0.0935713
Gretzky	0.0922652
"Shaquille O'Neal"	0.0919264
Anderson	0.0919092
Iverson	0.0909503
Payton	0.0903091
"Kobe Bryant"	0.090129
Harper	0.0891627
Robinson	0.0889925
Lindros	0.0889228
"Othella Harrington"	0.0887031
Chamberlain	0.0872425
Aikman	0.0871091
Kukoc	0.0869973
Artest	0.0867885
"Karl Malone"	0.0867651
Cleaves	0.0852119
El-Amin	0.0846132
"Glen Rice"	0.0843205
Schrempf	0.0843138
"John Stockton"	0.083781
Testaverde	0.0837718
Williams	0.0837363
Hornacek	0.0832423
Horry	0.0828262
Marino	0.0825289
Odom	0.0823636
Fizer	0.0818273
Gugliotta	0.0817465
Elway	0.0813817
Primeau	0.0813206
Harrington	0.0811425
Knoblauch	0.0810153
Bourque	0.0806277
Modano	0.0806215
Rogers	0.0805303
"Grant Hill"	0.0804083
Kidd	0.0799935
Stoudamire	0.0799891
Roenick	0.0797027
Stockton	0.0794817
"Larry Johnson"	0.0793122
Swann	0.0792171
smith	0.0788466
Moore	0.0787183
"Jalen Rose"	0.0787083
Robitaille	0.0787079
"Mark Jackson"	0.0786078
"Ron Harper"	0.0785001
Finley	0.0783299
Sanders	0.0782644
"Tim Duncan"	0.078212
Francis	0.0781176
Swoopes	0.0780223
Glover	0.0776877
"Van Exel"	0.077565
WARRICK	0.0775349
Smits	0.0771748
Brister	0.0771462
Nieuwendyk	0.0771219
"Latrell Sprewell"	0.0771032
Perez	0.0769679
Cato	0.0767783
Carter	0.0764983
Mobley	0.076364
"Michael Jordan"	0.0763107
Miller	0.0762758
Fleury	0.0761732
Oakley	0.0759995
Fisk	0.0756473
Palmer	0.0756395
Davis	0.0756099
Camby	0.0755637
Jackson	0.075404
"Reggie Miller"	0.075195
Mullin	0.0749957
Muoneke	0.0747771
"Robert Horry"	0.0745007
Martinez	0.0744803
McHale	0.07417
Griffey	0.0740906
"Clyde Drexler"	0.0738987
Jordan	0.0736721
Jones	0.0736319
Nicklaus	0.0736057
Stewart	0.0735477
Garnett	0.0734973
Flutie	0.0733259
Edwards	0.0731689
"Antonio McDyess"	0.0731646
Alou	0.0729502
Hasek	0.0727647
"Rasheed Wallace"	0.0727087
Kapono	0.0726606
Thomas	0.0726263
Alomar	0.0726253
"Matt Bullard"	0.0726137
Fortson	0.0726021
Olowokandi	0.0725108
ALLISON	0.0725035
Lett	0.0723014
Geiger	0.0721454
Murray	0.0719538
Langdon	0.0718347
Palmeiro	0.0712581
Bledsoe	0.0712485
Elliott	0.0712384
Irvin	0.0710664
Ceballos	0.0710149
Taylor	0.0709281
Scottie	0.070818
Gooden	0.0707541
Chandler	0.0707331
Gwynn	0.0706041
Blaylock	0.0705701
"Derek Fisher"	0.0704652
Sabonis	0.0703265
"Alonzo Mourning"	0.0702544
Kittles	0.0701871
Vaughn	0.0700958
"Larry Bird"	0.0700699
"Del Piero"	0.0695769
Zolak	0.0695048
Raines	0.0694151
Robertson	0.0692582
Palffy	0.0691957
Redd	0.0691781
Sutton	0.0691147
Crawford	0.0690954
Dickerson	0.0690076
Sosa	0.0689541
Wohlers	0.0688761
McGwire	0.068855
Hatcher	0.0687947
Hundley	0.0687865
"Magic Johnson"	0.0687514
walker	0.0686893
Romario	0.0686003
Cooper	0.0685089
Tkachuk	0.0684858
Smoltz	0.0684479
Longley	0.0681998
Bure	0.0681637
"Rick Fox"	0.0681336
Dunleavy	0.0680991
"La Russa"	0.0679807
Blake	0.0679496
Gatling	0.0676198
Brunell	0.067483
Ronaldo	0.0672863
"Marcus Camby"	0.0671583
Piazza	0.0670681
Akers	0.067063
Ramirez	0.0669773
Webber	0.0667203
Neilson	0.0665667
Armstrong	0.0664819
Romanowski	0.066473
Avery	0.0664494
Bennett	0.0663903
Stackhouse	0.0662212
fisher	0.0661859
Richardson	0.0661492
Harris	0.0659403
Holdsclaw	0.0658999
Moiso	0.0658888
"Tim Hardaway"	0.0657867
Elie	0.06574
McSorley	0.0656109
"Gary Payton"	0.0655657
martin	0.0655228
Wilson	0.0655183
collins	0.0654625
Jagr	0.0652529
"Van Horn"	0.0651404
Gorter	0.0651264
Lopez	0.0651195
"Penny Hardaway"	0.0651062
Jeter	0.0650526
Garciaparra	0.0649976
Plummer	0.0648793
))
(Barksdale (desc 2608.1) (sims
Colburn	0.207959
Allchin	0.202203
Tevanian	0.200109
Schmalensee	0.197277
Maritz	0.195603
Myhrvold	0.164186
Blumenthal	0.137054
Ratner	0.133906
Reimer	0.132543
Felten	0.130913
Fassett	0.127829
Hamlin	0.126891
"Anita Hill"	0.125311
Ickes	0.120629
Eizenstat	0.117808
Azizan	0.117323
Koskinen	0.115208
Kushner	0.11457
Trulock	0.113921
Ruehe	0.111569
Sassa	0.111152
Rosen	0.110897
LaPierre	0.110595
McCurry	0.110571
Norris	0.110012
Farber	0.109924
Wolfson	0.108618
Bronfman	0.108312
Kornberg	0.107605
Bruton	0.104312
Mehta	0.103838
Ritter	0.103504
Biden	0.103493
Mohamed	0.103141
Hodler	0.101879
Goldin	0.101796
Menchu	0.100515
Camdessus	0.099203
Pugh	0.0990304
Caddell	0.0986176
Poole	0.0985618
Prewitt	0.0982623
Barshefsky	0.0982188
Willey	0.0975027
"James Barksdale"	0.0973932
Haskins	0.0967274
Cleary	0.0961409
Lindsey	0.0958785
Eisner	0.0957229
Mudge	0.09565
Waxman	0.0954678
Azizah	0.0951278
hale	0.0941466
Talebi	0.0939018
Jovanovic	0.0936376
Davidson	0.093055
Condit	0.0924482
Finkel	0.0922659
Turetzky	0.0921327
Rodionov	0.0917829
Bakaly	0.0915554
Kerasiotes	0.0915287
Joklik	0.0912659
Hersh	0.0911346
Feldman	0.0909658
D'Alessandro	0.0907746
Moonves	0.0903344
Alatas	0.0903167
Kessler	0.0899845
Quackenbush	0.0896877
DERSHOWITZ	0.0893899
Lacresha	0.0891357
Andreessen	0.0889836
Mercurio	0.0888057
Breuer	0.0887863
Eubanks	0.0886865
Quigley	0.0884145
Klima	0.0880381
Cornyn	0.0878656
Tran	0.0876188
Singson	0.0871963
Jayakumar	0.0867982
Weil	0.0866106
Podesta	0.086552
Hatfield	0.0864533
Kurtz	0.0864458
Lockhart	0.0863017
fisher	0.0860165
Gates	0.0858648
Shelton	0.0858008
Faget	0.0856951
Hauser	0.0853129
Meskini	0.0849325
Zarb	0.0847347
Flemmi	0.0843596
Huang	0.0840567
Alarcon	0.0840174
Wilhelm	0.0839019
Milbury	0.0838516
Demaci	0.0837802
Higgins	0.0833422
Haughey	0.0831776
Musa	0.0825512
Korman	0.0824222
Leavitt	0.082356
Cianci	0.0821816
Rossotti	0.0821016
Ciampi	0.0820214
Nebiolo	0.0819714
Conroy	0.0816248
Napolitano	0.081573
Monahan	0.0815267
Safir	0.0813635
Epstein	0.0812945
Gullit	0.0812418
Currie	0.0811868
LOUIMA	0.0810131
Hess	0.0806893
Mullins	0.0802954
hodgson	0.0801905
Blackthorne	0.0801404
Horner	0.0800158
Babbitt	0.0799266
Nicholson	0.0795596
Verney	0.0795459
Aoki	0.0795294
Ruthardt	0.079515
Hamdoon	0.0793329
Sergeyev	0.0793148
McDougal	0.0792994
Margolis	0.0792446
McCaffrey	0.0787696
RRA	0.0785983
ROMNEY	0.0783628
Hybl	0.0782526
Yoo	0.0782488
Martorano	0.0781795
Advani	0.078146
Gullikson	0.0781346
Flanagan	0.0778058
McKeon	0.0776739
Sorensen	0.0776086
Groscost	0.077589
MacKay	0.0774836
Kennard	0.0774621
Buckingham	0.0773614
Cashman	0.0773135
Falater	0.0772767
Freeh	0.0771362
Husseini	0.0770193
Gutman	0.0769505
Coffey	0.0768257
Bettman	0.0767414
Katzenberg	0.0766721
DiCarlo	0.0764941
Donohue	0.0764092
Carroll	0.0763253
Grossman	0.076315
Paulson	0.0762256
nix	0.0761931
Carville	0.0761873
Berger	0.0760257
Padilla	0.0758965
Bulatovic	0.0757914
Meeks	0.075791
Fleischer	0.0755639
Ballmer	0.075518
Stephanopoulos	0.0754705
DeFrantz	0.0753628
Bliley	0.0753339
Gallinger	0.0751959
Siegel	0.0749193
Sinden	0.0748508
Hasan	0.0748417
McDonough	0.0747382
Maher	0.0746067
Narayanan	0.0746008
Wenger	0.0745131
Armey	0.0744585
Ng	0.07437
Vasquez	0.0743411
Espinosa	0.0742667
Sheehan	0.0741751
Jenoff	0.0741657
Deutch	0.0740926
Lott	0.0739232
Tripp	0.0738074
PITTS	0.073784
Beilin	0.0737257
Rosenthal	0.0736894
Bambang	0.073673
Bowles	0.0736308
"Kathleen Willey"	0.0735991
Prabowo	0.0735199
Shays	0.0734249
Zuma	0.07336
Dumas	0.0732819
"Vernon Jordan"	0.0732673
O'Neil	0.0732537
Harr	0.0730769
))
(barley (desc 8685.89) (sims
sorghum	0.304101
millet	0.228713
wheat	0.222449
sugarcane	0.209251
soybean	0.207525
oat	0.204418
maize	0.200446
corn	0.199833
"wheat flour"	0.192768
"sugar beet"	0.189256
rapeseed	0.188558
cassava	0.187287
"sugar cane"	0.183425
bean	0.180851
lentil	0.176691
"soya bean"	0.171742
rice	0.169604
grain	0.162211
alfalfa	0.159666
cotton	0.159187
rye	0.156519
potato	0.152801
pea	0.151695
"sweet potato"	0.14851
flour	0.142922
Chickpea	0.142081
"sunflower seed"	0.142022
oilseed	0.140014
sunflower	0.139723
bran	0.139467
"cooking oil"	0.137141
bulgur	0.136037
soya	0.132762
tapioca	0.132357
cereal	0.13115
sesame	0.130487
groundnut	0.130069
canola	0.129716
citrus	0.129313
beet	0.128675
paddy	0.128205
sugar	0.125939
vegetable	0.125054
cocoa	0.124165
cabbage	0.122952
onion	0.12228
cashew	0.121198
"vegetable oil"	0.120656
coconut	0.120537
"food grain"	0.117672
"brown rice"	0.117134
"palm oil"	0.115801
"black bean"	0.115135
noodle	0.115006
legume	0.113472
pork	0.113108
hay	0.112928
asparagus	0.11252
tomato	0.112389
mushroom	0.110975
"cashew nut"	0.110625
cacao	0.109561
buckwheat	0.109418
fruit	0.109243
yam	0.109092
raisin	0.10899
mutton	0.108966
bread	0.108948
melon	0.107992
Broccoli	0.107424
"powdered milk"	0.10509
beef	0.104806
meat	0.104783
milk	0.103353
oatmeal	0.103049
"citrus fruit"	0.102414
grape	0.101707
banana	0.101198
"pinto bean"	0.100508
poppy	0.100472
carrot	0.0992185
clover	0.0979929
foodstuff	0.0977252
tea	0.0972804
squash	0.0972574
pasta	0.0972536
radish	0.0970823
"sweet corn"	0.096988
poultry	0.0969471
"coffee bean"	0.0969323
"root vegetable"	0.096156
blueberry	0.095763
hemp	0.0951056
almond	0.094797
egg	0.0943629
crop	0.094036
cauliflower	0.0938592
cranberry	0.0933432
artichoke	0.0927266
"cane sugar"	0.0925121
soy	0.0912831
"skim milk"	0.0912266
peanut	0.0911214
shrimp	0.0910214
walnut	0.0908927
yeast	0.0903131
"dairy product"	0.0898537
"milk powder"	0.089786
"white bean"	0.0897472
flax	0.0897121
sprout	0.089549
lettuce	0.0891986
"white rice"	0.0890156
nut	0.0881606
peach	0.0875752
urea	0.0873447
coffee	0.0871978
pumpkin	0.0871615
cucumber	0.0870889
seafood	0.0870462
"peanut oil"	0.0870327
Garlic	0.0869419
pistachio	0.0855548
okra	0.0854417
watermelon	0.0854398
fertilizer	0.0847958
coca	0.0847595
celery	0.0846423
spaghetti	0.084486
biscuit	0.0843373
tobacco	0.0839839
"lima bean"	0.0835696
macaroni	0.0835122
"animal product"	0.0831411
"black-eyed pea"	0.0825989
apple	0.0823253
eggplant	0.0823243
"green bean"	0.0822453
"brown sugar"	0.08209
"cottage cheese"	0.0819508
pineapple	0.0819361
kernel	0.0817867
sausage	0.0816622
hazelnut	0.0811882
pepper	0.0811344
phosphate	0.0809148
"sea food"	0.0807451
"roast beef"	0.0807316
"red pepper"	0.0800156
broth	0.0799342
starch	0.0793862
mango	0.0789752
spinach	0.0784427
salt	0.0778878
parsnip	0.0772215
cheese	0.0769845
ethylene	0.0768951
Coal	0.0767065
Collard	0.0767062
jute	0.0767031
"iron ore"	0.0765828
"orange juice"	0.0761666
Burley	0.0758686
matzo	0.0757926
pear	0.0756411
porridge	0.0756112
cornmeal	0.0755979
Livestock	0.0754682
chicken	0.0754644
tortilla	0.0754382
wool	0.0751563
seaweed	0.0751267
morel	0.0747316
berry	0.0745292
molasses	0.0743752
"pine nut"	0.0742587
"soybean oil"	0.0737884
Tuber	0.0734482
"dried fruit"	0.0731214
opium	0.0727409
olive	0.0726937
"opium poppy"	0.0726481
newsprint	0.0726227
herb	0.0724387
eel	0.0723122
"Chinese cabbage"	0.0719368
fig	0.0718337
"pig iron"	0.0716219
crumb	0.0715722
"pumpkin seed"	0.0715437
cornbread	0.0712811
"string bean"	0.0712436
Copper	0.0711595
fennel	0.0710429
rubber	0.0710238
"oil palm"	0.0709042
"fuel oil"	0.0708799
"macadamia nut"	0.0704769
leek	0.0703448
spice	0.0703193
))
(Barlow (desc 1605.32) (sims
COYNE	0.132478
Finkel	0.127599
Jaffe	0.125618
Molinari	0.116294
Grossman	0.116017
Hardy	0.113005
Weinberg	0.111474
Meissner	0.110601
Lowry	0.110394
Hahn	0.110163
Duffy	0.110097
Mustafa	0.109027
Zuckerman	0.10761
Henley	0.106848
O'Connell	0.106423
Rosenthal	0.105752
Cleary	0.104195
Fiorina	0.103207
Weil	0.103074
Rosenberg	0.102916
Mucha	0.101967
Hickman	0.101045
Mullen	0.100983
Mckee	0.100396
Baer	0.100186
Yates	0.0997378
Farley	0.0985356
Vogel	0.0984311
Berman	0.0980948
Duvall	0.0973389
Meyers	0.0957861
Boyle	0.0953833
O'Sullivan	0.0952636
Scruggs	0.0951777
Freedman	0.0949539
Pollack	0.0947598
Healy	0.0942003
Reiner	0.0925174
Nicholson	0.0925017
Mathews	0.0923839
Greenwald	0.0919444
Sheedy	0.0918706
Midler	0.0915932
Hamlin	0.0915593
Flockhart	0.0912751
Keller	0.0911482
Rowley	0.0909834
Whaley	0.0908957
McLaughlin	0.0906649
Clooney	0.0899574
Hanley	0.0899187
Hybl	0.0892017
Menchu	0.0890665
Simons	0.0890099
Fleischer	0.0888012
Zwick	0.0886732
Pearson	0.0879465
Brundtland	0.0878053
D'Alessandro	0.0877826
Garrett	0.0877207
Copeland	0.0876591
Brenner	0.087623
McIntyre	0.0875644
Nickerson	0.0875096
Gullikson	0.08742
Dion	0.0871188
Hurley	0.0863403
Lockwood	0.0862184
Weisman	0.0858652
Tomlin	0.0858012
Hartley	0.085696
Mahoney	0.0856409
Merritt	0.0854996
Rutherford	0.0854628
Rivlin	0.08511
fuller	0.0849867
TALBOT	0.0848586
Hanna	0.084824
Caddell	0.0847137
Kirkpatrick	0.084643
Dempsey	0.0839631
Markovic	0.0835008
Kurth	0.0834802
burrows	0.0834708
Blackman	0.0833845
McLachlan	0.0831295
McNamara	0.0830579
Setzer	0.0828491
Poole	0.0824642
Moran	0.0821811
Grimes	0.0816453
Shulman	0.0816112
Lurie	0.0814168
krueger	0.0813958
Waxman	0.081324
Maynard	0.0811787
Goff	0.0810131
Brandt	0.0809853
Phelps	0.0809637
Ellis	0.080951
Shapiro	0.0809201
LeFave	0.0808521
Mei	0.0807612
Feng	0.0802029
Talebi	0.0800574
nance	0.0800562
Seligman	0.0798346
Rowe	0.0798286
Farber	0.0795607
Hirsch	0.0793097
Wolff	0.0792945
Iglesias	0.0792821
Rollins	0.0790867
Sykes	0.0789867
Pierson	0.0785876
Weis	0.0785651
McPherson	0.078493
Couric	0.0783653
Coen	0.0783417
Brazile	0.0783208
Morley	0.0782387
Blackwell	0.0781269
McDonnell	0.0778686
Davidson	0.077652
Levine	0.0776462
Butterworth	0.0776426
Cowan	0.0773509
Manheim	0.0771608
Soto	0.0769954
Tuttle	0.0766418
Taymor	0.0764848
McMillan	0.076446
O'Neil	0.076438
Orton	0.0763188
Ingram	0.0762946
Harman	0.0762521
Segal	0.0762094
Osborne	0.0762056
Rubenstein	0.0761293
singleton	0.0758363
Stephens	0.075718
Macdonald	0.0756828
Bettman	0.0756825
Hauser	0.0756064
Reilly	0.0755926
McGuire	0.0753984
Tharp	0.0753759
Siegel	0.0752419
McCartney	0.0752324
Meeks	0.0752179
Donato	0.0751687
Larson	0.0751148
Grunwald	0.0751011
McGrath	0.0749875
Rowan	0.0748155
Sahadi	0.0747431
Nilsson	0.0746306
Ashrawi	0.0746123
Weiner	0.0744094
Wasserstein	0.0743622
Sobel	0.0743506
Kahn	0.0743228
Daniels	0.0743061
Loeb	0.0741246
Donohue	0.0739469
Fay	0.073944
Arbour	0.0739308
DeFrantz	0.0738569
Seltzer	0.0737672
Madden	0.0735174
Gillespie	0.0733445
Kerrigan	0.0732856
McDaniel	0.0731646
Pfeiffer	0.0731374
Epstein	0.0730931
beamer	0.073009
Koskinen	0.0728526
Jovanovic	0.072803
Chukwu	0.0724852
Kline	0.0723714
Schafer	0.0723003
Aurelio	0.0722871
"administration official"	0.0722563
Atkinson	0.0721646
Feldman	0.0721118
Carville	0.0719405
Griffiths	0.0718999
Altman	0.0718172
Pape	0.0717875
Swenson	0.071783
Baum	0.0716079
Baird	0.0715193
DiCicco	0.0715158
Stahl	0.0713837
Solich	0.0713682
Marceau	0.0712617
Morse	0.0711732
Berenson	0.0710452
Harrington	0.0710372
Upshaw	0.0709884
))
(barn (desc 39272.3) (sims
shed	0.122095
garage	0.118492
farmhouse	0.117111
hut	0.115386
cottage	0.11324
Warehouse	0.110517
house	0.109494
shack	0.109371
building	0.105131
cabin	0.103805
trailer	0.101388
outbuilding	0.100799
"mobile home"	0.0996174
apartment	0.096979
stall	0.0940894
mansion	0.0930788
"apartment building"	0.0923346
bungalow	0.0895673
dwelling	0.0888685
tent	0.08797
room	0.0876222
bedroom	0.0862833
schoolhouse	0.086208
synagogue	0.0836555
basement	0.0834648
kitchen	0.0829571
hotel	0.0827442
home	0.0824248
dormitory	0.0822646
farm	0.0804816
courthouse	0.0803668
garden	0.0782901
gym	0.0782598
church	0.0780857
hangar	0.0779382
Tower	0.0770818
Castle	0.0769366
Villa	0.0768207
"office building"	0.0764369
"living room"	0.0763233
shop	0.0762485
"parking lot"	0.0760883
chapel	0.0757982
motel	0.0746312
lodge	0.0745653
"swimming pool"	0.0743287
pasture	0.074297
mosque	0.0738753
"dining room"	0.0732187
pond	0.0728558
gymnasium	0.072658
barrack	0.0726266
restaurant	0.0721804
courtyard	0.0720957
cemetery	0.0719106
silo	0.0718591
stables	0.0718455
storefront	0.0713024
ranch	0.0711287
bathroom	0.070991
residence	0.0706827
orchard	0.0704636
corral	0.0704172
hall	0.0698304
cellar	0.0697816
clubhouse	0.0697503
cave	0.0685588
dorm	0.0685374
factory	0.0683961
compound	0.0683401
park	0.0683278
closet	0.0680555
palace	0.0680531
condominium	0.0679049
inn	0.0678406
pagoda	0.0676028
store	0.0675574
Grandstand	0.0673665
locker	0.0673119
neighborhood	0.0664892
porch	0.0661274
studio	0.0658928
tree	0.0657038
booth	0.0656758
"log cabin"	0.065609
mall	0.0654001
village	0.0651183
pit	0.0650494
"apartment house"	0.0649895
"town house"	0.0648505
library	0.0647696
dock	0.0647206
classroom	0.0646058
temple	0.0645195
condo	0.0644216
auditorium	0.0642274
patio	0.0641378
museum	0.0637712
theater	0.0634853
pavilion	0.0634503
plaza	0.0632469
"row house"	0.0631472
hallway	0.0631388
square	0.0630323
"ranch house"	0.0630305
stable	0.0628115
van	0.0627009
stadium	0.0624624
shelter	0.0622864
Monastery	0.0622274
"dorm room"	0.0621516
pantry	0.0620524
townhouse	0.061883
Fort	0.061531
depot	0.0614006
car	0.0609757
complex	0.0609431
deck	0.0607569
wall	0.0607405
gate	0.0606664
paddock	0.0605409
outhouse	0.0605218
greenhouse	0.0604441
firehouse	0.0602579
facility	0.0602576
cafe	0.0599172
"vacant lot"	0.0598472
loft	0.0597307
cage	0.0595591
bed	0.0594906
truck	0.0592
tractor	0.0589613
arena	0.0588956
gallery	0.0588632
"city hall"	0.0587341
"family room"	0.0585503
ballroom	0.0585449
brownstone	0.0584356
pool	0.058432
cubicle	0.0583808
"press box"	0.0583198
"school bus"	0.0582999
sanctuary	0.0580982
showroom	0.0579552
"bomb shelter"	0.0578507
playground	0.0578377
yard	0.0577686
forest	0.0575751
duplex	0.0575323
camp	0.0573711
rink	0.0572342
trunk	0.0570956
"hotel room"	0.0569459
fence	0.0569325
"gas station"	0.0568151
tavern	0.0567981
fireplace	0.0567712
"shopping center"	0.0567656
edifice	0.0567653
mill	0.0564199
Ballpark	0.0563893
tomb	0.0563855
Dome	0.0563818
bunker	0.056276
parlor	0.0561101
"dressing room"	0.0559805
"tennis court"	0.0559755
orphanage	0.0559292
lobby	0.0555144
Grove	0.0553243
bar	0.0552931
racetrack	0.0552669
tunnel	0.0552549
tenement	0.0551935
structure	0.0551135
lagoon	0.0549802
estate	0.0549057
refrigerator	0.0548447
"front door"	0.0547904
hospital	0.0545133
"locker room"	0.0545043
"community center"	0.0544668
Capitol	0.0542472
stove	0.0541205
restroom	0.0540313
Cathedral	0.0538952
street	0.0538723
"waiting room"	0.0537722
Alley	0.0537211
backstretch	0.0535337
high-rise	0.0535094
zoo	0.0535034
Convent	0.0533702
fortress	0.0532917
"hospital room"	0.053201
space	0.0530794
Bin	0.0530123
terminal	0.0529602
horse	0.0528398
tub	0.0527097
))
(Barnaby (desc 1481.04) (sims
Woolley	0.159198
Peca	0.112333
Primeau	0.0958799
Longley	0.0767518
Romanowski	0.0733169
Neulander	0.0718438
Lipstadt	0.0711384
Smolinski	0.0706282
Baumhammers	0.0667798
Allchin	0.0650502
Niedermayer	0.0644106
Hillsboro	0.0633469
Fassett	0.0629935
Giacchetto	0.0628963
Schiffer	0.0624279
Ntakirutimana	0.0620364
Dokmanovic	0.0618641
Gossage	0.0618575
Meskini	0.061371
Sydor	0.0609161
Sebaggala	0.0592873
Nathaniel	0.0577843
Elhage	0.0563381
Hofer	0.056132
Arizmendi	0.0561282
Seminole	0.0560356
Serna	0.0557945
Andreychuk	0.0552794
"El Hage"	0.0549296
Kimes	0.0548765
looper	0.054744
Shoate	0.0541808
Kohn	0.0538698
Turgeon	0.0536544
Meggett	0.0535559
Lacresha	0.0529577
Neely	0.0528614
Swango	0.0525969
Espinoza	0.052557
Fuhr	0.0525139
Recchi	0.0519815
Kehoe	0.051717
Phelan	0.0512816
Drury	0.050845
Sherrill	0.0503853
Kingsley	0.0503284
Suker	0.0502431
Swoopes	0.049816
Brownlee	0.0488005
noone	0.0487786
whomever	0.0486422
Mikhailov	0.0485756
Shannon	0.0485041
Sakic	0.0482383
Asprilla	0.0482047
Nieuwendyk	0.0480786
Nedved	0.0478216
Quokka	0.0477638
Reimer	0.047701
Hiett	0.0474933
Rucchin	0.0471529
Imperatori	0.0470961
Sehorn	0.0469231
Toomer	0.0469005
Skakel	0.046732
Lindros	0.0464974
Haouari	0.0464838
"Russell Peeler"	0.0464729
Fedorov	0.0463943
"Dixon Ward"	0.0463527
Schweitzer	0.0463493
Kenna	0.0462493
Bakaly	0.0462441
Hensley	0.0460029
"Maturino Resendiz"	0.0456332
Beathard	0.0453805
DeBerg	0.045262
Lafleur	0.0452357
Barrie	0.0452019
Kimeses	0.0451012
Ortega	0.0447956
Holzman	0.0447472
Wiatt	0.0446571
Chmura	0.0445456
Heinrichs	0.04445
axelsson	0.0443334
Selanne	0.0442981
Trischitta	0.0441031
Mendez	0.0440618
Briere	0.043995
Tran	0.0439059
Meston	0.0438671
Mcbride	0.0438556
Bergkamp	0.0438502
Osgood	0.0438368
Khalil	0.0438247
Hage	0.0435914
Stumpel	0.0434505
Maradona	0.0434096
Ghani	0.0433895
Mease	0.0433694
Alfredsson	0.0432278
Colburn	0.0432089
"Ray Lewis"	0.0431199
DiSarcina	0.042962
Faget	0.0429606
Mullen	0.0428759
"Pervaiz Musharraf"	0.0426847
Harris-Lewis	0.0426713
Carbonneau	0.0426646
Kodikian	0.0426362
Zubov	0.0424801
Babitsky	0.0424119
Gorter	0.0423741
Kozeny	0.0423364
Gravano	0.0422705
Lileikis	0.0422701
Sanderson	0.0422314
"Peter Bondra"	0.0421382
Chilavert	0.042092
Batistuta	0.0417831
Lehane	0.0417425
Bourne	0.041726
Shayler	0.0416478
Borrego	0.0416417
Khrushchev	0.0415372
Grachev	0.0414204
peeler	0.0414113
Sealy	0.0413121
Turetzky	0.0412932
Cavallo	0.0412688
Havelange	0.0411616
Sheppard	0.040973
Mattysse	0.0409696
Reichel	0.040964
Loretta	0.0409231
Yoo	0.0408542
Ingraham	0.0408269
McGinn	0.0408055
Snider	0.0407278
McKeon	0.040696
Sweeting	0.0405254
Barrow	0.0404498
leeson	0.0403952
Callaghan	0.0403033
Eappens	0.040224
Kiareldeen	0.0402089
Brazill	0.0402003
Jimy	0.0401948
Willes	0.0401477
Bibi	0.0400908
))
(Barnard (desc 3436.59) (sims
"University of Wyoming"	0.108549
Rubenstein	0.0975078
"Brigham Young University"	0.0973354
Finkel	0.0859424
"Barnard College"	0.0841444
Gullikson	0.0816319
Lessig	0.0792959
"University of Kentucky"	0.0785502
Dartmouth	0.0774213
"University of Florida"	0.0753585
"UC Berkeley"	0.0743762
Polian	0.0737772
"teachers college"	0.0736293
"Dartmouth College"	0.0730989
NYU	0.0730801
UD	0.0723752
Fleischer	0.0720324
Waxman	0.0713035
Kyprianou	0.0709971
"University of Utah"	0.0696349
Copeland	0.0693994
Nickerson	0.0690785
Ebersol	0.0690284
Hybl	0.0689267
"Williams College"	0.0686613
Carollo	0.0686269
"Smith College"	0.0685205
"Howard University"	0.0683685
Bakaly	0.0679619
Ruehe	0.0679065
Talebi	0.0673404
Sato	0.0671988
UGA	0.0667634
McKenna	0.0666159
Krugman	0.0664315
Jayakumar	0.0663181
Berman	0.0659281
Singson	0.0659143
Lehane	0.0658943
Robson	0.0658825
Bustamante	0.0656287
Manley	0.0655004
"Heritage High School"	0.0651692
Rosenthal	0.0650902
Wenger	0.0648789
"Northeastern University"	0.0647244
lacy	0.0643755
Gossage	0.064311
O'Neil	0.0640376
Reiner	0.0638687
Poole	0.0636321
Grossman	0.0635751
"Iowa State University"	0.0630788
MIT	0.0630751
McCurry	0.0629865
Ganassi	0.0627094
CalTech	0.0627059
"Agence France Presse"	0.0626257
Bavasi	0.06259
Vogel	0.0625638
"University of Mississippi"	0.0621313
Piot	0.0620001
UT	0.0616629
Beathard	0.0615253
Yale	0.0612973
Echols	0.0607565
Duffy	0.0607258
"George Washington University"	0.060589
"Texas Christian University"	0.0605836
Cooley	0.0605302
Vassar	0.0605242
Cowan	0.0604108
Mustafa	0.0603501
Loeb	0.0602351
Silverstein	0.0601568
Heinrichs	0.0600244
Coen	0.0599932
"Jack Valenti"	0.059895
KU	0.0595727
Rothenberg	0.059544
"Harvard Business School"	0.0593959
Brandt	0.0592429
Sobel	0.0590655
DeFrantz	0.0589431
Skiles	0.0589345
Weisman	0.0588925
"Georgia State University"	0.0588642
"Yale Law School"	0.0588525
Zucker	0.0586912
"Princeton University"	0.0584342
Bergeron	0.0580515
Siegel	0.057814
Moser	0.0577666
"Trinity College"	0.0577659
Burleigh	0.0577485
Schmid	0.0576041
Juilliard	0.0575765
"Seton Hall"	0.05749
Tarango	0.0574773
"Tom Johnson"	0.0574573
Meyers	0.0574345
Flanagan	0.0574251
"American University"	0.0573966
"U.S. Soccer Federation"	0.0573817
Moakley	0.0573745
"State University of New York"	0.0573471
"University of Dayton"	0.0573398
Radcliffe	0.0573364
UNAM	0.0572308
"Harvard Law School"	0.0571807
"City College"	0.0571436
Farber	0.05706
Hirst	0.0570572
Lange	0.05664
"administration official"	0.0566227
Choate	0.0566107
Contreras	0.0565931
Butterworth	0.0565681
Goldin	0.0564173
McGuire	0.05629
Xiang	0.056252
"junior high school"	0.0561297
Insulza	0.0561278
"North Carolina State University"	0.0561251
Ness	0.0559209
"University of Arizona"	0.0558962
"Tehran University"	0.0557193
Samuelson	0.0556602
Arum	0.0556353
Beckwith	0.0555498
"Brown University"	0.0554607
Storin	0.0554136
"Michigan State University"	0.0554008
Beazley	0.0553087
"University of Tennessee"	0.0551502
Alarcon	0.0551347
"San Francisco State University"	0.0549513
Devine	0.0547835
bock	0.0547689
"Indiana University"	0.0547535
"University of Maryland"	0.054694
Fagan	0.0546671
Wharton	0.0546178
"Massachusetts Institute of Technology"	0.0545997
"community college"	0.0545856
"George Mason University"	0.0545413
Verney	0.0543848
Moonves	0.054195
Auriemma	0.0541898
UMass	0.0541519
Andreychuk	0.0541235
Meeks	0.0540791
"Seton Hall University"	0.0539986
Aventajado	0.053853
"naval academy"	0.0538183
Princeton	0.0537768
Solis	0.0537049
Tam	0.0535205
Auerbach	0.053505
Gogel	0.053442
Cornell	0.053392
Okada	0.0533488
Valdez	0.0533229
Jaffe	0.0533064
"Esther Dyson"	0.0532683
Satcher	0.0532566
Sahadi	0.0532294
Hodler	0.0531922
Qinghua	0.0531375
D'Alessandro	0.053126
Surin	0.0529701
Ferrer	0.0529585
Passarella	0.0529031
"Harvard College"	0.0528969
Ainge	0.0528271
"University of Kansas"	0.0528229
Siazon	0.0527868
Mandella	0.0526218
"University of Illinois"	0.0525379
Malu	0.0523312
Tuberville	0.0522785
Rashid	0.0522667
Segal	0.0522131
Emory	0.0521893
Advani	0.0520816
Pollack	0.0520164
Rove	0.0517507
"Peking University"	0.0517279
Joklik	0.0517254
Mercado	0.0516417
"Bank of Korea"	0.051641
Sheng	0.0516134
"University of Cincinnati"	0.0516113
"University of Georgia"	0.0515988
Ogata	0.0515875
O'Malley	0.0515777
Gutman	0.0514837
Whipple	0.0514834
"Philip Roth"	0.0514067
Bowles	0.0513285
))
("Barnard College" (desc 1186.16) (sims
"Fordham University"	0.252485
"Smith College"	0.248611
"Hunter College"	0.239016
"Brown University"	0.218628
"Queens College"	0.217798
"George Washington University"	0.21223
"Williams College"	0.196551
"City College"	0.195551
"Seton Hall University"	0.192422
"Northeastern University"	0.191366
"University of New Hampshire"	0.190526
"Harvard College"	0.184904
"Yale Law School"	0.184108
"University of Rochester"	0.183384
"University of Missouri"	0.181213
"Southern Methodist University"	0.180785
"Howard University"	0.17893
"Syracuse University"	0.175283
"University of Dayton"	0.173799
"Princeton University"	0.172342
"Vanderbilt University"	0.172309
"North Carolina State University"	0.169787
"University of Georgia"	0.168825
"Amherst College"	0.166746
"Northwestern University"	0.166237
"Brigham Young University"	0.163837
"Wright State University"	0.163428
"Dartmouth College"	0.162767
"University of Wyoming"	0.162481
"University of Florida"	0.162273
"Columbia University"	0.161262
"Florida State University"	0.161114
"Florida International University"	0.160301
Vassar	0.159996
"College of Charleston"	0.155692
"Kansas State University"	0.155273
"Georgetown University"	0.153446
"University of Toronto"	0.15319
"Harvard Law School"	0.150438
"Boston University"	0.150171
"University of Kentucky"	0.149749
"Wesleyan University"	0.148362
"Rice University"	0.144204
"Iowa State University"	0.143896
"Rockefeller University"	0.143398
"University of Chicago"	0.143323
"Auburn University"	0.143267
"San Francisco State University"	0.143125
"New York University"	0.142689
"Trinity College"	0.142481
"Yale university"	0.142241
"U.S. Naval Academy"	0.141534
"Texas Christian University"	0.140978
"University of Wisconsin"	0.140055
"University of Kansas"	0.139775
"Rutgers University"	0.139496
"Hofstra University"	0.138949
"Duke University"	0.13805
"Michigan State University"	0.136905
"Cooper Union"	0.136682
"Harvard Business School"	0.136556
"Baylor University"	0.135936
"Louisiana State University"	0.135111
"University of Texas"	0.134391
"University of North Carolina"	0.133456
"Cornell University"	0.133032
"Colorado State University"	0.132225
"University of Michigan"	0.131892
"Purdue University"	0.129649
"Wake Forest University"	0.129577
"Hebrew University"	0.128617
"University of Maryland"	0.127475
"Mount Sinai Medical Center"	0.127316
"Washington State University"	0.126702
UD	0.126486
Cornell	0.123591
"Catholic University"	0.122647
"Stanford University"	0.121478
"Georgia State University"	0.121473
"University of Pennsylvania"	0.120307
"UC Berkeley"	0.120287
"Waldorf-Astoria Hotel"	0.119533
"Emory University"	0.119524
"American University"	0.119284
"University of Iowa"	0.118881
"Harvard Medical School"	0.11683
"University of Illinois"	0.115901
"University of Southern California"	0.114484
"University of Miami"	0.113348
"State University of New York"	0.11198
"University of Notre Dame"	0.111751
Yale	0.110906
"Tufts University"	0.109906
"University of Houston"	0.109607
"Ohio State University"	0.108069
"Harvard University"	0.107388
"University of Virginia"	0.106209
"West Point"	0.105839
"University of Utah"	0.10565
"naval academy"	0.105556
"University of Oregon"	0.105086
"University of Washington"	0.104251
"University of Zimbabwe"	0.104091
Brandeis	0.103829
"Temple University"	0.10147
"London School of Economics"	0.100549
"University of Cincinnati"	0.0999282
"University of Rhode Island"	0.099533
"University of Massachusetts"	0.099016
MIT	0.0987492
"Johns Hopkins University"	0.0986337
Dartmouth	0.0980993
"University of New Mexico"	0.0977439
"University of Nevada"	0.0976406
"University of Arkansas"	0.0974375
"California State University"	0.0972702
"Indiana University"	0.0970899
Princeton	0.0970251
"City University of New York"	0.0964405
"University of Colorado"	0.0962912
"University of Arizona"	0.0962399
"Boston College"	0.0962396
"Arizona State University"	0.0945315
"University of Connecticut"	0.0932415
"University of South Carolina"	0.0931693
UMKC	0.0926609
"George Mason University"	0.0922779
"University of Hawaii"	0.0917011
"University of Alabama"	0.0915573
"Juilliard School"	0.0908709
"police academy"	0.0899639
"Beijing University"	0.0896351
"business school"	0.0896061
"Mount Sinai Hospital"	0.0893022
"Washington University"	0.0892732
"Tehran University"	0.0880103
"Carnegie Mellon University"	0.0877533
seminary	0.0875045
"Kent State"	0.0873516
"Kennedy School"	0.0869723
"University of Pittsburgh"	0.0859718
Sorbonne	0.0857513
Emory	0.0851166
"Memorial Sloan-Kettering Cancer Center"	0.0845699
"Metropolitan Opera House"	0.0842089
Barnard	0.0841444
"art school"	0.0839597
"Heritage High School"	0.0837909
"University of Nebraska"	0.0824428
"Millrose Games"	0.081238
"Brandeis University"	0.080178
"Peking University"	0.0797993
"University of Mississippi"	0.0796409
"Massachusetts Institute of Technology"	0.0794195
"Solomon R. Guggenheim Museum"	0.0782792
Juilliard	0.0775679
"University of Minnesota"	0.0774868
Waldorf-Astoria	0.076749
"National Autonomous University of Mexico"	0.0767219
"air force academy"	0.076246
"Furman University"	0.0761295
"school of law"	0.0759824
"Holy Cross"	0.0737614
"Film Forum"	0.0736948
"Cambridge University"	0.0736861
"Zhongshan University"	0.0736049
yeshiva	0.071853
"University of Oklahoma"	0.0716084
"Polo Grounds"	0.0714229
"Oxford University"	0.0706601
"Omnicom Group"	0.0702542
"eighth grade"	0.069756
UNAM	0.0690472
"Jewish Museum"	0.0680094
highschool	0.0673434
IU	0.0659781
UT	0.0659536
"mechanical engineering"	0.0655564
UGA	0.0653917
redshirt	0.0653689
"liberal arts"	0.0645232
"University of Tennessee"	0.0645166
"military academy"	0.0639141
"Whitney Museum"	0.0636437
"Harvard School of Public Health"	0.0633725
"Radio City Music Hall"	0.0632392
"Kennedy School of Government"	0.0629684
"city university"	0.0628895
"Apollo Theater"	0.0625896
"Avery Fisher Hall"	0.062437
"Pennsylvania State University"	0.0622347
"School of Public Health"	0.0621408
CUNY	0.0608755
"Whitney Museum of American Art"	0.0596118
KU	0.0594204
"John F. Kennedy School of Government"	0.0593068
"U.N. Headquarters"	0.0592403
"Qinghua University"	0.0585863
Radcliffe	0.0585274
"senior high school"	0.0584924
))
(Barnes (desc 17106.3) (sims
"Roy Barnes"	0.107479
Davis	0.104989
Hodges	0.098873
Pataki	0.0974311
Morales	0.0964131
Cellucci	0.0954881
Siegelman	0.0918703
Riley	0.0913602
Evans	0.090366
Edwards	0.0894238
Richards	0.0893178
Cuomo	0.0888486
Whitman	0.0867127
Carnahan	0.086283
Wilson	0.0860607
Thompson	0.0842685
Mitchell	0.0842238
Forbes	0.0831398
Torricelli	0.0825141
Harris	0.0822063
Estrada	0.0821006
"Gray Davis"	0.0818437
Engler	0.0817025
Spitzer	0.0814274
Schumer	0.0810043
MacKay	0.0809524
Hoffa	0.0809093
Ellis	0.0808896
Daley	0.0808626
Bush	0.0808304
Jones	0.0807665
Blair	0.0806302
Rowland	0.0798061
Morrison	0.0790824
D'Amato	0.0787009
DOLE	0.0785197
Giuliani	0.0784439
Gingrich	0.0781887
Campbell	0.078118
Hastert	0.0780698
smith	0.0780156
Bennett	0.0776448
Bradley	0.0775829
Gramm	0.0773546
Lyons	0.0773525
Wahid	0.077085
Lewis	0.0770785
Lieberman	0.0768832
Graham	0.0768672
Quayle	0.0766008
Meissner	0.0765259
Richardson	0.0764507
Carter	0.0760893
Moynihan	0.0759654
Phillips	0.0758851
Gates	0.0758738
Helms	0.0758182
fisher	0.0757996
Bauer	0.0757796
Dowd	0.0755917
Williams	0.0752796
gore	0.0745738
Ashcroft	0.0745734
Gonzales	0.0745173
Jacobs	0.0744547
Hawkins	0.0742816
Nelson	0.0742655
Vallone	0.074238
Taylor	0.0742279
Cheney	0.0741758
weld	0.0741681
Snyder	0.0741284
Perkins	0.0740845
Cohen	0.0740771
Mauro	0.0740132
Sullivan	0.0739957
Nader	0.0738874
Miller	0.0738131
Lucas	0.0737104
Ventura	0.0736462
Chavez	0.0735131
Stahl	0.0735096
Roberts	0.0734063
Adams	0.0733653
Lautenberg	0.0732707
"John G. Rowland"	0.0724999
"Jim Hodges"	0.072419
Holmgren	0.0723793
Johnson	0.0721691
Weizman	0.0720709
Owens	0.0718279
Levin	0.0716283
Armey	0.0715953
Olson	0.0715277
Clark	0.071395
Bowers	0.0713255
Fieger	0.0713094
McCall	0.0713076
Burke	0.0712362
Taft	0.0712036
Ramos	0.0711978
Marcos	0.0710983
James	0.0710414
"Jeb Bush"	0.0708285
Russo	0.0708122
Gephardt	0.0708078
Friedman	0.0705628
Archer	0.0705527
Reilly	0.0704428
Clinton	0.0702687
Shaheen	0.0702059
Newhouse	0.0702019
Zedillo	0.0701923
Peres	0.0701329
collins	0.070123
Daschle	0.0700208
Peterson	0.0699415
Salinas	0.069934
Bowen	0.0698748
Rogers	0.0698475
Haskins	0.069831
Wiggins	0.0698218
Lott	0.0698097
Dukakis	0.0696784
Reeves	0.0696555
Kennedy	0.0695625
Berenson	0.0695387
Corzine	0.0693902
"George Pataki"	0.0692218
Reno	0.0691361
Moore	0.0690392
Patterson	0.0689736
Steele	0.0689504
murphy	0.0689308
Burns	0.0689121
Brooks	0.068862
Buchanan	0.0688525
Craig	0.0688414
McCain	0.0687884
Payne	0.0687815
Hughes	0.068772
Malone	0.0687621
Ferguson	0.0686767
Kennelly	0.0685749
Watts	0.0683945
Yeltsin	0.068378
Samaranch	0.0681866
Putin	0.0681678
Coleman	0.0680654
Kelly	0.0679521
Robertson	0.067901
Zimmer	0.0678842
Watson	0.0677899
O'Brien	0.0675875
Greene	0.0675857
Goldstein	0.067528
Pastrana	0.0674211
Ramirez	0.0674132
Alexander	0.0673976
DeFrantz	0.0673267
Obuchi	0.0672824
Jarvis	0.0672372
Vacco	0.0671924
Bhutto	0.0671916
Reynolds	0.0671753
Bowden	0.067143
Livingston	0.067135
Stevens	0.0670549
Schroeder	0.06686
Flores	0.0667815
Ross	0.0665862
Belichick	0.0665778
Sanders	0.0663715
Kennard	0.0662423
Jackson	0.0661654
Mugabe	0.065979
Cortines	0.0658794
Harshbarger	0.0657087
Blumenthal	0.0656849
Lockhart	0.0656502
"Jeanne Shaheen"	0.0654978
Thomas	0.0654272
Danforth	0.0653934
Kerry	0.0653913
McCaffrey	0.0653859
Dixon	0.0653239
perry	0.0652917
McDermott	0.065196
Toledo	0.065183
Lowey	0.0650692
Hess	0.0648581
Babbitt	0.0648257
Robinson	0.0648211
Scruggs	0.0648204
Jenkins	0.0647369
Holmes	0.0645394
Rangel	0.0644184
Keyes	0.0643864
Barr	0.0643817
Moceanu	0.0642714
))
("Barnes &AMP; Noble" (desc 10765) (sims
Barnesandnoble.com	0.146293
Wal-Mart	0.143167
CompUSA	0.1431
CDnow	0.142281
Amazon.com	0.133771
Starbucks	0.127702
eToys	0.127486
"Rite Aid"	0.12634
"Best Buy"	0.123949
"Toys R Us"	0.121911
"Home Depot"	0.120595
Reel.com	0.117667
Kmart	0.117366
Walmart	0.115398
Asda	0.112649
Safeway	0.112261
Amazon	0.112122
"Saks Fifth Avenue"	0.110984
Kroger	0.108022
Bertelsmann	0.107058
Webvan	0.104851
"Time Warner"	0.102495
Caldor	0.102462
Seagram	0.102067
Monsanto	0.101548
bookstore	0.100601
Macy	0.0994454
"National Grid"	0.09936
"Fred Meyer"	0.0989923
"Amazon.com Inc."	0.0989066
WorldCom	0.0988948
"Bell Atlantic"	0.0985756
Viacom	0.0985045
"News Corp."	0.0977848
CMGI	0.0977769
EMC	0.0976562
AutoNation	0.0971643
GANNETT	0.0964993
"New York Times Co."	0.0964521
"BP Amoco"	0.096379
"Times Co."	0.0961503
"Circuit City"	0.0956303
Albertson's	0.0951798
Staples	0.0950579
Vivendi	0.0945692
"Neiman Marcus"	0.0939227
"America Online"	0.0936967
NIKE	0.0936136
Cisco	0.0933869
Nordstrom	0.0933611
Pepsico	0.0930688
Costco	0.092973
"Knight Ridder"	0.0924183
Sears	0.0922071
"Burger King"	0.0919738
"Deutsche Telekom"	0.0916984
Litton	0.0914359
SBC	0.0912803
Pfizer	0.0912123
"Pfizer Inc."	0.090974
Nortel	0.0904066
McKesson	0.0903336
"MCI WorldCom"	0.0901412
Williams-Sonoma	0.0896647
eBay	0.0892114
Primedia	0.0887932
"Viacom Inc."	0.0887612
Yahoo	0.0886943
"Hearst Corp."	0.0885998
Mannesmann	0.0881613
"Staples Inc."	0.088081
"Time Warner Inc."	0.0877107
Lycos	0.08752
ETrade	0.0874508
"Conde Nast"	0.0873957
RJR	0.0873376
"Ford Motor Co."	0.0871716
"Philip Morris"	0.087153
"American Express"	0.0870518
Bloomingdale's	0.0867212
Citigroup	0.086536
"Sara Lee"	0.0861461
"Tribune Co."	0.0860398
RealNetworks	0.0860074
"Cox Communications"	0.085929
Walgreen	0.0859287
"Walt Disney Co."	0.0859012
"Banana Republic"	0.0855736
"Coca-Cola Co."	0.0853605
Saks	0.0850335
CVS	0.0849179
Dell	0.0849014
E-Trade	0.0845401
"Dell Computer Corp."	0.0844771
"American Home"	0.0843754
MCDONALD's	0.0843306
Compaq	0.0840962
"General Motors Corp."	0.0840735
CNET	0.08402
Priceline.com	0.0837554
"Microsoft Corp."	0.0834528
DoubleClick	0.083322
BellSouth	0.0832935
"Computer Associates"	0.0831248
SFX	0.0829897
noble	0.0829617
Lockheed	0.0828811
"Coca-Cola Enterprises"	0.0827114
GTE	0.0823661
"Berkshire Hathaway"	0.0822866
Priceline	0.0822042
"Con Edison"	0.082157
"Barneys New York"	0.0819595
Sotheby's	0.0819381
"U.S. Trust"	0.0819249
"American Home Products"	0.0818422
"Learning Co."	0.0818003
Aetna	0.0816628
Unilever	0.0813911
AMR	0.0812383
"Procter &AMP; Gamble"	0.0811731
Bestfoods	0.0803578
IBM	0.0800713
"Phelps Dodge"	0.0798778
"Global Crossing"	0.0796329
"RJR Nabisco"	0.0794933
"Old Navy"	0.0793912
Exxon	0.0793104
"France Telecom"	0.0792613
Qualcomm	0.0791137
"Bankers Trust"	0.0788355
Aventis	0.0787173
HSBC	0.0786495
Comcast	0.0786493
Mattel	0.0786404
Norwest	0.0785974
AOL	0.0783857
bookseller	0.0781364
Vodafone	0.0779293
"J.C. Penney"	0.0778045
Verizon	0.0776718
Cablevision	0.0774373
Motorola	0.0774023
"Johnson &AMP; Johnson"	0.0772976
"General Electric"	0.0772621
Dupont	0.0771715
Nokia	0.0770345
DaimlerChrysler	0.076674
"L.L Bean"	0.0766563
"Times Mirror"	0.0765686
Mobil	0.0764875
Medtronic	0.076414
Nabisco	0.0763383
"Sprint Corp."	0.0762598
"Lucent Technologies"	0.07616
"Dell Computer"	0.0760581
Schwab	0.0759615
AlliedSignal	0.0759399
Kodak	0.0757656
Xerox	0.0757013
"Time Inc."	0.0754004
"Gap Inc."	0.0753271
Infoseek	0.0751648
"America Online Inc."	0.0750771
"J&AMP;J"	0.0750615
TYCO	0.0749828
MCI	0.0748998
Qwest	0.0746908
Federated	0.0746199
"Network Associates"	0.0745702
"General Motors"	0.0745072
Toysmart.com	0.0742951
"Office Depot"	0.0741102
Sunbeam	0.0740916
"Air Canada"	0.0738968
"Saatchi &AMP; Saatchi"	0.073881
Hasbro	0.0738681
ExciteAtHome	0.0738377
Woolworth	0.0737719
Amgen	0.0737152
Halliburton	0.0737122
"Sony Corp."	0.0736651
"Deutsche Bank"	0.0736336
Coca-Cola	0.0736195
"Cendant Corp."	0.0734181
"Charles Schwab"	0.0733426
Carrefour	0.0733132
"Halliburton Co."	0.0732807
MP@.com	0.0732655
"CBS Corp."	0.0732039
Pepsi	0.0730699
Citibank	0.0729847
Starwood	0.072839
ITT	0.0728383
EarthLink	0.0726164
Texaco	0.0725394
"Wal-Mart Stores Inc."	0.0724357
MindSpring	0.0723598
EMI	0.072345
ascend	0.0720851
))
(Barnesandnoble.com (desc 7549.05) (sims
eToys	0.214007
Reel.com	0.208431
CDnow	0.187843
Amazon.com	0.178846
Buy.com	0.16175
Drugstore.com	0.150129
"Barnes &AMP; Noble"	0.146293
Toysmart.com	0.142758
"Amazon.com Inc."	0.137462
ETrade	0.136196
Priceline.com	0.13241
N@K	0.124653
eBay	0.124606
Amazon	0.120837
DrKoop.com	0.114086
MP@.com	0.102899
DoubleClick	0.101563
Webvan	0.100928
"Dell Computer"	0.0988538
iXL	0.0983782
iVillage	0.0982004
GeoCities	0.096373
Toysrus.com	0.0951742
CompUSA	0.0939794
Priceline	0.0937604
MarketWatch.com	0.0919774
CMGI	0.0913346
PLDT	0.0905725
Fingerhut	0.0904109
TheStreet.com	0.0898809
AltaVista	0.0895578
EMC	0.0892376
Infoseek	0.0890692
RealNetworks	0.0888015
Yahoo	0.088422
"Computer Associates"	0.0883673
VoiceStream	0.0880292
"America Online"	0.0863857
EarthLink	0.0861315
noble	0.0856456
E-LOAN	0.0845466
"MCI WorldCom"	0.0834409
bookseller	0.0829431
Kmart	0.0828665
CNN.com	0.0823316
"Apple Computer"	0.0822112
"Toys R Us"	0.082076
Lycos	0.0813366
"Sprint PCS"	0.0808424
E-Trade	0.0801628
Wal-Mart	0.080109
"U.S. Trust"	0.0799747
Delphi	0.0792139
Peapod	0.078785
CNET	0.078565
"Dell Computer Corp."	0.0785061
HomeGrocer.com	0.0784619
Broadcom	0.0783148
RJR	0.0767154
Emulex	0.0764278
Anheuser-Busch	0.0760589
"Continental Airlines"	0.0759303
Pets.com	0.0751819
Livent	0.0750739
Hewlett-Packard	0.0750527
IBM	0.0749365
"L.L Bean"	0.0747961
MindSpring	0.0747214
Compaq	0.0746599
Schwab	0.0744383
Providian	0.0740894
Albertson's	0.0740486
Cisco	0.074046
"American Express"	0.074007
Pepsico	0.0739653
China.com	0.0739633
ZDNet	0.0738812
Qwest	0.0737392
Starbucks	0.073691
Dell	0.0734819
emachines	0.0734075
"Home Depot"	0.073227
HKMA	0.0731022
"Advanced Micro"	0.0727516
Goldman	0.0723575
"Delphi Automotive Systems"	0.072009
AOL	0.0719457
Primedia	0.0719263
"Rite Aid"	0.0718421
Sotheby's	0.0717166
Genentech	0.0714302
Qualcomm	0.0713935
"Thermo Electron"	0.0712876
Checkfree	0.0711947
Healtheon/WebMD	0.0708841
"Hongkong Telecom"	0.0708391
"P&AMP;G"	0.0707046
Healtheon	0.0707014
"Philip Morris"	0.0705355
"Deutsche Telekom"	0.0703293
Toysmart	0.0701812
oracle	0.0697728
Akamai	0.069716
Netscape	0.0696014
McKesson	0.0695307
Seagram	0.06942
Xerox	0.0689882
"Fidelity Investments"	0.0686249
"Southern Co."	0.0684667
Dupont	0.0683248
DaimlerChrysler	0.06829
Inktomi	0.0682332
"Charles Schwab"	0.0681788
TYCO	0.0680799
"Cisco Systems"	0.067798
Scientific-Atlanta	0.067738
WorldCom	0.0677276
"Time Warner"	0.0676528
"Network Associates"	0.0675009
"toy retailer"	0.0674858
"HBO &AMP; Co."	0.0674115
aol.com	0.0672496
WebMD	0.0670643
Walmart	0.0670032
"News Corp."	0.0668017
XYLAN	0.0666829
"Yahoo Inc."	0.0666706
"Global Crossing"	0.0665977
BellSouth	0.066405
AMR	0.0664018
"Time Inc."	0.0663834
Intel	0.0663806
Hasbro	0.0662462
"Red Hat"	0.0662276
HBOC	0.066198
NTL	0.0661827
Allstate	0.0660248
AmeriTrade	0.0658439
REVLON	0.0655961
Airbus	0.0654664
Nabisco	0.0653118
"JDS Uniphase"	0.0651992
"New York Times Co."	0.0650694
Fedex	0.065066
"Media Metrix"	0.0650392
"Federal Express"	0.0650383
Comcast	0.064927
"Times Mirror"	0.064892
IDG	0.0647081
Medtronic	0.0646051
Sunbeam	0.0645036
Northpoint	0.0644965
"Circuit City"	0.064485
AIG	0.0644706
Coca-Cola	0.0643197
Corel	0.0643058
Citigroup	0.0642907
"RJR Nabisco"	0.064237
Nextel	0.0640809
"Best Buy"	0.0639128
"US Airways"	0.0638115
DirecTV	0.0637647
Clorox	0.0634928
"Coca-Cola Co."	0.063355
"Boston Scientific"	0.0632396
AHP	0.06321
"Pizza Hut"	0.0632064
Ciena	0.0630606
NCR	0.0626985
"Coca-Cola Enterprises"	0.062398
Georgia-Pacific	0.0623557
"American Airlines"	0.0622987
Mannesmann	0.0622044
Seagate	0.0621062
NatWest	0.0620876
AMC	0.0619244
Marketspan	0.0618831
"road runner"	0.061743
Overnite	0.061323
Travelocity	0.0612401
Motorola	0.0611532
theglobe.com	0.0611517
ExciteAtHome	0.0611335
brokerage	0.0610628
"Walt Disney Co."	0.061004
Amgen	0.060981
"Hughes Electronics"	0.0609084
"American Home"	0.0608702
Gazprom	0.0607924
Alcoa	0.0607905
Exxon	0.060642
Gillette	0.0606134
"Procter &AMP; Gamble"	0.0605286
Pfizer	0.060456
Starwood	0.0604416
"New Line Cinema"	0.0600824
ARCO	0.0599762
"Conde Nast"	0.0599533
"United Airlines"	0.0599304
AutoNation	0.059794
))
(Barnett (desc 4715.91) (sims
Harrick	0.140825
Silas	0.11447
"Jim Harrick"	0.106436
Doherty	0.105241
"Tim Floyd"	0.103734
Garber	0.100846
ROMNEY	0.100152
Donnan	0.0989772
McGinnis	0.0984304
Landry	0.0982021
Vermeil	0.098192
Romar	0.0978767
Talebi	0.0969071
Donahue	0.0961152
Neuheisel	0.0947925
Milutinovic	0.0931418
Brazile	0.0928906
DONOVAN	0.0920188
Wannstedt	0.0905473
Fiorina	0.0904354
Monson	0.0900332
Holzman	0.0891773
Barad	0.0881238
Moratinos	0.0871537
Grossman	0.0865553
Jauron	0.0863676
Goldin	0.0853601
Tobin	0.0850793
Sampson	0.0846738
"Bora Milutinovic"	0.0845746
Keenan	0.0839094
Slatkin	0.0833204
Holmgren	0.0828672
Vance	0.0827733
Walsh	0.0826702
Rodionov	0.0822975
Ponciano	0.0822623
Campo	0.0819852
Milbury	0.0816086
Wolfson	0.0811823
Penders	0.0808494
Hackett	0.0802542
Macdonald	0.0799666
Venables	0.0798004
O'Brien	0.0795837
Bowden	0.0791883
Evans	0.0791774
Russo	0.0790725
Popovich	0.0790192
pressman	0.078976
"Barry Switzer"	0.0789455
Redgrave	0.0787022
Snyder	0.078678
Osborne	0.0783692
Manuel	0.078365
Gaston	0.0783322
Nolan	0.0779495
Greenwald	0.0774536
O'Hara	0.0773685
"Scotty Bowman"	0.0768119
Levin	0.0765877
Goldstein	0.0765696
Slocum	0.0759225
Havelange	0.0759131
Haskins	0.0753314
Ruehe	0.0751401
Guthridge	0.0750849
Gailey	0.0749517
Vogel	0.0748407
Davidson	0.0747587
Wiggins	0.074636
Rosen	0.0746324
Fulmer	0.074488
Rosenberg	0.0742527
"Don Nelson"	0.074186
Bowman	0.0741653
Orton	0.0739503
Erickson	0.0739473
Jarvis	0.0737905
beamer	0.0736419
Boone	0.0736325
Mucha	0.0734437
Prewitt	0.0733392
"Doc Rivers"	0.0732781
Henning	0.0732039
Willard	0.0731473
Meissner	0.0730576
Zagallo	0.0728939
Krzyzewski	0.0727563
Saunders	0.0727177
Napolitano	0.0725174
Coughlin	0.0725136
Kearin	0.0724862
Reyes	0.072414
"Rick Neuheisel"	0.0718069
Reeves	0.0715439
Hartman	0.0713521
Eizenstat	0.0713222
Dwyer	0.0713139
Majko	0.0712331
Wasserstein	0.0712095
Tsang	0.070895
Gifford	0.0708795
Carmichael	0.0702525
Spurrier	0.0702095
Ellis	0.0701678
Cremins	0.0700609
"Walter Zenga"	0.0700212
Kurtz	0.0698539
Hamlin	0.06971
Riley	0.0696815
Cowens	0.0696127
"Mike Holmgren"	0.0695362
Weiss	0.0694586
Chubais	0.0692539
Tuttle	0.0691884
Gallagher	0.0691311
Mahoney	0.0689587
Nasrin	0.0687743
Knapp	0.0684747
Hickman	0.0683859
Stahl	0.0682537
Johnston	0.0681475
Woodson	0.0681392
Markovic	0.0681036
Flores	0.0679897
Rawabdeh	0.0679724
Godfrey	0.0678528
Casey	0.0678165
"Don Zimmer"	0.0677685
Leyland	0.0677639
Solich	0.0675395
Watson	0.0672952
Antley	0.0672222
Sherman	0.0672152
Westphal	0.0672098
Jacobs	0.0671249
DeFrantz	0.0669744
Gonzales	0.066946
"Dean Smith"	0.06694
Whipple	0.0669274
Belichick	0.0669136
Naumann	0.0668823
Patton	0.0666111
Oliveira	0.0663981
Ribbeck	0.0662838
lynch	0.0661942
Seifert	0.0660414
Tilberis	0.0660407
Sherrill	0.0657973
Atwood	0.0657263
Scioscia	0.0657036
Dukakis	0.0656914
Ackerman	0.0656513
Carroll	0.0656168
Murray	0.0655691
Gomez	0.065562
Rivlin	0.0654356
Schmidt	0.0653978
Griffiths	0.065268
Fassel	0.0652537
Bassett	0.0652476
Mariucci	0.0652411
Bartoli	0.0651177
Finkel	0.0650685
Feldman	0.0649919
Egan	0.0649491
Colangelo	0.0649042
Goldberg	0.0648356
Olson	0.0645574
Webster	0.064382
Zambrano	0.0643763
Greenberg	0.0643509
Zimmer	0.0643465
Rosenthal	0.0643039
Reid	0.0641545
Hoffman	0.0641502
Sheedy	0.0641296
Lombardi	0.0641147
murphy	0.0640585
"Pat Burns"	0.0639658
Weiner	0.0638874
Bessette	0.0638482
Walter	0.0637762
Martz	0.0637662
Groh	0.0636778
Rollins	0.0636258
Sather	0.0636096
gentry	0.0635934
Arbour	0.0635639
Shapiro	0.0635549
Drexler	0.0634562
Stephenson	0.0634171
Newman	0.0633751
Kearney	0.0633404
Garvey	0.0632267
Schmid	0.0631831
Rowan	0.0631763
Sassa	0.0631403
Donohue	0.0630318
))
("Barnett Slepian" (desc 2735.59) (sims
Slepian	0.171788
"Claudia Benton"	0.1627
"Galina Starovoitova"	0.1351
Ileto	0.130584
"Martha Moxley"	0.130052
"Amadou Diallo"	0.129294
"Patrick Dorismond"	0.121343
Starovoitova	0.119307
B.J	0.117815
"Gianni Versace"	0.117201
"Nicole Brown Simpson"	0.114471
Hajdari	0.113902
"James Byrd"	0.11386
"Lee Harvey Oswald"	0.110705
"JonBenet Ramsey"	0.106865
Webdale	0.105069
noncombatant	0.105005
PFC	0.103924
"Azem Hajdari"	0.10204
"James Byrd Jr."	0.0980876
"Lewis Yocum"	0.095873
"black person"	0.0930959
"Thomas Youk"	0.0905135
"Matthew Shepard"	0.0864284
"mail carrier"	0.0856177
sightseer	0.0833958
first-grader	0.0823973
Bellush	0.0821662
policewoman	0.0820837
"Carole Sund"	0.0811899
Diallo	0.0792494
Copt	0.0781997
"Tupac Shakur"	0.0774364
Carnegie	0.0745193
Halloran	0.0742352
obstetrician	0.0734552
Lollar	0.0730808
RFK	0.0715645
"prison guard"	0.0710789
"Saeed Hajjarian"	0.0693503
"Yitzhak Rabin"	0.0674666
"Frank Jobe"	0.0671849
"Matthew Eappen"	0.0667777
militiaman	0.0665972
motorcyclist	0.0663022
JonBenet	0.0650252
Winchell	0.0645744
mailman	0.0644351
Coburn	0.0643981
schoolgirl	0.0640433
"Martin Luther King"	0.0637801
Grunow	0.0636804
watchman	0.0633049
Benton	0.0627704
Snead	0.0627339
Larch	0.0622834
Raznatovic	0.0622692
"Shao Yunhuan"	0.0606276
Hani	0.060351
"Jack Kevorkian"	0.0602455
stepdaughter	0.0595596
NetZero	0.058638
Rabin	0.0583466
Arkan	0.0581622
postman	0.0578757
Byrd	0.0574763
"Kendra Webdale"	0.0566114
Sikh	0.0565255
Dorismond	0.0561537
Borrego	0.0558621
hitchhiker	0.0555099
ex-girlfriend	0.0540977
Walser	0.0539861
"Coptic Christians"	0.0537414
deliveryman	0.0535903
"Ruiz Massieu"	0.0534693
"European Jews"	0.0531985
constable	0.0529295
"Branch Davidians"	0.0521745
Guerin	0.0519794
"robbery suspect"	0.0515041
Nkabinde	0.0514145
Yoon	0.0513218
Biko	0.05128
firstborn	0.0511771
"John Lennon"	0.0510241
"civil rights leader"	0.0510011
"Medgar Evers"	0.0508898
Kenyon	0.0507823
"mountain gorilla"	0.0505394
Gerardi	0.0497513
"fellow worker"	0.0497283
"gray whale"	0.0496499
fiance	0.049565
lawmen	0.0491905
schoolmate	0.0490305
Silva	0.0488109
Browne	0.0485648
Escobar	0.0482757
"Robert F. Kennedy"	0.0480117
Jobe	0.0478031
"letter carrier"	0.0476625
frist	0.0472775
McCoy	0.047192
"wild horse"	0.0471325
Shepard	0.0470277
MarketWatch.com	0.0470224
Hotmail	0.046387
"federal agent"	0.0461261
crewmen	0.0459755
Moreau	0.0458665
R-Okla.	0.0457895
"Orange PLC"	0.0457823
headmistress	0.0455571
"free rein"	0.0454543
Byrdsong	0.0452431
worshipper	0.045186
transient	0.0448857
Lennon	0.0448573
Hurtado	0.0447297
mifepristone	0.0445113
Busch	0.0443748
worshiper	0.0441804
"law officer"	0.044013
Habib	0.0437736
"Enron Corp."	0.0436627
airmen	0.0433202
"Tele-Communications Inc."	0.0432254
"Martin Luther King Jr."	0.0431565
Kurth	0.0431142
seamen	0.0431031
Farnsworth	0.0430811
Satcher	0.0430089
Sadat	0.0429608
"Alexander Hamilton"	0.0429244
"Bernard Kouchner"	0.0428091
protestor	0.042778
"Frontier Corp."	0.0425425
Levin	0.0425033
rustler	0.0424468
Jekyll	0.0423888
"Emilio Bombay"	0.0423793
Brundtland	0.042313
Lecter	0.0421768
"monarch butterfly"	0.0419325
RU-@@@	0.0419265
Versace	0.041917
Dudayev	0.0416751
Koop	0.0415307
Soyinka	0.0413543
O'Hair	0.0412107
Watkins	0.041165
cabby	0.0411605
Ricart	0.0411601
Fahey	0.0410553
"two @@-year-olds"	0.0409526
Sykes	0.0408778
"Greek Cypriot"	0.0406434
peddler	0.040614
"Derrick Thomas"	0.0402683
mother-in-law	0.0402592
"Czar Nicholas II"	0.0401569
))
(Barney (desc 9061.44) (sims
Teletubbies	0.10965
"Sesame Street"	0.0904412
"GI Joe"	0.0903185
Furby	0.079627
Rugrats	0.0694322
"Mickey mouse"	0.0662854
Dillard	0.0588835
pikachu	0.0586907
"South Park"	0.0580896
Doug	0.0568259
"Spice Girls"	0.0557408
Maurice	0.0556674
Frasier	0.0526142
Pokemon	0.0524023
Ernie	0.0517347
Mott	0.0515895
Elmo	0.0512359
Arthur	0.0512264
Seinfeld	0.0511669
Barbie	0.0511192
Tarzan	0.0509795
"Ally McBeal"	0.0502898
"Star Trek"	0.0494153
Harry	0.0494139
Furbys	0.0489969
BRITNEY	0.0488143
Dinosaur	0.0485632
Sinatra	0.0482318
Elvis	0.0482083
"Jerry Springer"	0.0481117
"Saks Fifth Avenue"	0.0480228
"Austin Powers"	0.0478624
Yoda	0.0477487
Buffy	0.0476644
"Murphy Brown"	0.0473077
Keith	0.0469532
Ken	0.0466477
Kan	0.0464726
Dilbert	0.0463835
"Tinky Winky"	0.0455827
Fred	0.0453307
Felicity	0.045125
"Frank Sinatra"	0.0450868
Platt	0.0450225
Seuss	0.0449308
Pavarotti	0.0445505
Porno	0.0444882
"Charlie Brown"	0.0443918
Freddie	0.0442635
Garfield	0.0441035
"Harry Potter"	0.0439574
Bernie	0.0435635
Nordstrom	0.043517
"Britney Spears"	0.0433505
"Jerry Seinfeld"	0.0428191
"Jerry Springer Show"	0.0427507
"Celine Dion"	0.0427166
"Beanie Baby"	0.0426469
Reggie	0.0426441
Pooh	0.0424929
newsmagazines	0.0423526
Toysmart.com	0.0420362
Spenser	0.0419806
Flintstone	0.0419483
chihuahua	0.0418996
Superman	0.0418735
doll	0.0417315
Broderbund	0.0417284
Jim	0.0413991
Fingerhut	0.0413174
Godzilla	0.0412734
karaoke	0.0412554
Ted	0.0409836
"Star Wars"	0.0403926
"Johnny Cash"	0.0403045
Ernest	0.0401518
))
("Barney Frank" (desc 3639.86) (sims
"Martin Meehan"	0.298918
"John Kerry"	0.238844
"John Conyers"	0.237113
"Edward M. Kennedy"	0.193846
"Charles Rangel"	0.193538
"Christopher Shays"	0.18686
"John Dingell"	0.185422
"Patrick Kennedy"	0.178763
"Edward Kennedy"	0.178626
"Jose Serrano"	0.178353
"David Dreier"	0.177474
"Henry Waxman"	0.169901
"Bill McCollum"	0.169391
"Bob Barr"	0.16935
"Nancy Pelosi"	0.163791
"Martin Frost"	0.162597
"Lindsey Graham"	0.158459
"Carolyn Maloney"	0.157633
"Lamar Smith"	0.154279
"Sheila Jackson Lee"	0.153822
"Dan Miller"	0.15261
"Lloyd Doggett"	0.15204
"Zoe Lofgren"	0.148504
"Charles E. Schumer"	0.147485
"Jim Kolbe"	0.146863
"Bernard Sanders"	0.145845
"Maxine Waters"	0.145136
"Christopher Cox"	0.143872
"Charles Canady"	0.14199
"George Gekas"	0.14055
"Dan Burton"	0.137641
"David Bonior"	0.131614
"Peter King"	0.131566
"Jim Bunning"	0.130335
"Tom Campbell"	0.129234
"Curt Weldon"	0.128096
"Nita Lowey"	0.128091
"Carolyn McCarthy"	0.126272
"Porter Goss"	0.125895
"Norm Dicks"	0.125741
"Steve Chabot"	0.125304
"Dick Armey"	0.124884
"Ron Paul"	0.124877
"John Lewis"	0.122795
"Jerrold Nadler"	0.122198
"George Nethercutt"	0.122107
"J.C. Watts"	0.12161
"Ed Bryant"	0.120784
"Asa Hutchinson"	0.119721
"George Miller"	0.119288
"Bill Thomas"	0.118873
"Robert Menendez"	0.117157
"John Sweeney"	0.116036
"Henry Bonilla"	0.115618
"Lee Hamilton"	0.114689
"Charles Stenholm"	0.114385
"Patrick Leahy"	0.112149
"Charles Schumer"	0.111438
"Jack Quinn"	0.111256
"Jim Leach"	0.111156
"Ted Kennedy"	0.110364
"Billy Tauzin"	0.110096
"Loretta Sanchez"	0.109172
"Dianne Feinstein"	0.10827
"Matt Salmon"	0.108007
"Nancy Johnson"	0.107739
"Mary Bono"	0.106481
"James Rogan"	0.106028
"Faisal Husseini"	0.105597
"Steve Largent"	0.105395
"John Conyers Jr."	0.1039
"Jim Turner"	0.102549
"Henry Hyde"	0.102142
Kerry	0.101965
"John Linder"	0.101702
"Mark Foley"	0.101636
"Bob Franks"	0.101415
"Charlie Norwood"	0.101378
"John Breaux"	0.101354
"Richard Gephardt"	0.100756
"John Boehner"	0.100462
"Tom DeLay"	0.0990212
"Bill Archer"	0.0987493
Moakley	0.0977102
"James Sensenbrenner"	0.0975559
"Tom Daschle"	0.0973191
"Sherwood Boehlert"	0.0971394
Nadler	0.096987
"Greg Ganske"	0.0964191
"Frank Lautenberg"	0.0958197
"Robert Livingston"	0.0946049
"Tom Coburn"	0.0943505
"Bob Livingston"	0.0940095
"Mark Green"	0.0938241
"Benjamin Gilman"	0.0937836
"Jennifer Dunn"	0.0930516
"Connie Morella"	0.0923745
"Robert Torricelli"	0.0915484
"Charlene Barshefsky"	0.0913215
"Tom Hayden"	0.0912672
"Phil Gramm"	0.0910637
"Bill Frist"	0.0887604
"Christopher Smith"	0.0879946
"Mark Sanford"	0.0879873
"Max Baucus"	0.0878689
"Chris Smith"	0.0868783
"Tom Davis"	0.0856227
"Paul Tsongas"	0.0851904
"Don Young"	0.0850868
"Tony Coelho"	0.0846524
"Connie Mack"	0.082011
"James Jeffords"	0.0813913
"Barbara Boxer"	0.0806431
"Marge Roukema"	0.080546
"Herb Kohl"	0.0803698
"Daniel Patrick Moynihan"	0.0795628
"Michael Forbes"	0.0792068
"Mitch McConnell"	0.0788351
"Barbara Mikulski"	0.0782358
"Thad Cochran"	0.0781139
"Amo Houghton"	0.0780901
"Jim Hodges"	0.0771465
"Tom Harkin"	0.0767894
"Rick Lazio"	0.0767268
"Tim Johnson"	0.0756747
"Christopher Dodd"	0.0756304
"Susan Molinari"	0.0754135
"Orrin Hatch"	0.0753933
"John Kasich"	0.0752259
Glendening	0.0748916
"William Weld"	0.0748323
"Paul Wellstone"	0.0739313
D-Mass.	0.0738843
"Roy Barnes"	0.0735781
Delahunt	0.0731708
"Paul Cellucci"	0.0721612
"Bob Kerrey"	0.0718424
R-Miss.	0.0716873
Ebersol	0.0714288
Shays	0.0714052
Daschle	0.0707214
Musgrove	0.0705508
"Carl Levin"	0.0700987
Tauzin	0.0698713
"Dick Gephardt"	0.0698408
Jayakumar	0.0695491
Fieger	0.0695199
Markey	0.0689631
"Tillie Fowler"	0.0688201
"Jim McDermott"	0.0688078
"Russell Feingold"	0.0685666
"Jack Kingston"	0.0681677
"Jim Nicholson"	0.067969
"Geraldine Ferraro"	0.0668338
Ruehe	0.0668051
"Russ Feingold"	0.0667329
"Yossi Sarid"	0.0665942
"Joseph Biden"	0.0657151
"Trent Lott"	0.0656932
Molinari	0.0649289
"Kay Bailey Hutchison"	0.064526
"Sheldon Silver"	0.0644683
Strauss-Kahn	0.0639775
Alarcon	0.0631991
"Sue Kelly"	0.0630514
"Craig Thomas"	0.0629686
"Joseph Lieberman"	0.0629019
Thurmond	0.0624796
"Linda Smith"	0.0624576
"Carlos Westendorp"	0.0623785
"Ernest Hollings"	0.0623011
"Ted Stevens"	0.0621676
Leahy	0.0620738
"Rick White"	0.0617085
"Bob Graham"	0.0608262
R-Ill.	0.0608023
"Blue Shield"	0.0606508
"Mickey Kantor"	0.0606484
"Alfonse D'Amato"	0.060642
Hayden	0.060633
"Robert Bennett"	0.0603972
Piot	0.0602077
"Ron Wyden"	0.0601123
Alatas	0.0599306
"Robert Byrd"	0.0598414
"Barry R. McCaffrey"	0.0595392
Zuma	0.0594943
"Barry McCaffrey"	0.0592558
"Max Cleland"	0.0590275
"Sam Brownback"	0.058276
Biden	0.0581017
"Fred Upton"	0.0579612
Gullikson	0.0578411
Tsvangirai	0.057606
Talebi	0.0575085
"Marc Hodler"	0.0574554
"Jack Kemp"	0.0573345
"Parris Glendening"	0.0572511
Ikimi	0.0571033
Baird	0.0570296
))
(Barneys (desc 3435.23) (sims
"Neiman Marcus"	0.234275
"Saks Fifth Avenue"	0.201823
"Bergdorf Goodman"	0.199844
"Barneys New York"	0.187988
Bloomingdale's	0.178187
"Lord &AMP; Taylor"	0.171075
Nordstrom	0.17107
Saks	0.151021
"J.C. Penney"	0.142148
Roberds	0.118067
Williams-Sonoma	0.112956
"Sears, Roebuck &AMP; Co."	0.103395
Costco	0.0975145
Sears	0.0943763
Macy	0.0941474
DKNY	0.0929829
Chanel	0.0923166
"FAO Schwarz"	0.0859726
Fendi	0.0852924
"specialty store"	0.0849556
Neiman	0.0817271
Cartier	0.0781371
Walmart	0.0777577
"Gap Inc."	0.0760938
Tiffany	0.0742268
"Best Buy"	0.0740219
"Louis Vuitton"	0.0736095
Dior	0.0728762
BOC	0.0717522
CompUSA	0.0703452
"U.S. Chamber of Commerce"	0.0702646
Armani	0.0698972
Caldor	0.0697361
eToys	0.0689822
"J. Crew"	0.0687456
"Barnes &AMP; Noble"	0.0686913
Penney	0.0685707
Harrods	0.0684504
"Pottery Barn"	0.0680884
Dillard	0.0676426
HERMES	0.0672977
Domino's	0.067075
"department store"	0.067038
LVMH	0.0666335
REVLON	0.0666268
"Sara Lee"	0.0665477
"Toys R Us"	0.0664261
"Rite Aid"	0.065668
Gump	0.0651314
"Banana Republic"	0.0643436
Wal-Mart	0.0638241
"Levi Strauss &AMP; Co."	0.0635768
"Cox Communications"	0.0635574
Versace	0.0628529
"Visa International"	0.0625804
Sotheby's	0.0625491
"Brooks Brothers"	0.0617029
"Abercrombie &AMP; Fitch"	0.0616496
"L.L Bean"	0.0614977
Lazarus	0.0614571
"Helmut Lang"	0.0613431
IAI	0.0607396
Gucci	0.0606477
Staples	0.0604942
CVS	0.0590087
Healtheon	0.0585957
Ikea	0.0583087
"Dow Jones &AMP; Co."	0.0582871
Lilco	0.0579625
"Yves Saint Laurent"	0.0579052
"Giorgio Armani"	0.0569208
Kmart	0.056523
"Hearst Corporation"	0.0560057
"Time Inc."	0.0555646
"Air China"	0.0551804
"Eddie Bauer"	0.055056
"Korean Air"	0.0549951
"J&AMP;J"	0.054841
Prada	0.0545503
Levi	0.0544893
"Dolce &AMP; Gabbana"	0.0544094
"Warner Brothers"	0.054389
Burberry	0.054351
"Sprint PCS"	0.0541207
TDC	0.0540185
"Con Ed"	0.0538217
Pepsico	0.0535396
Kroger	0.0534724
"Koch Industries"	0.0532924
"Burger King"	0.053107
"Levi Strauss"	0.0528948
Starbucks	0.0528721
"American Express"	0.0528347
"Radio Shack"	0.0528136
Anheuser-Busch	0.0528122
"Association for Relations Across"	0.0528014
ICBC	0.0527353
"Waffle House"	0.0527302
"Old Navy"	0.0526393
SDB	0.0523728
"China Unicom"	0.0521678
"Bill Blass"	0.0519701
Webvan	0.0515185
"Times Co."	0.0515033
Sogo	0.0512966
Honeywell	0.0512194
"Kraft Foods"	0.0508931
Safeway	0.0504051
VENATOR	0.0502147
ALZA	0.0501073
"Donna Karan"	0.0500347
Woolworth	0.0500323
ETrade	0.0498745
"Wells Fargo"	0.0497354
"Metropolitan Museum of Art"	0.0495799
"General Electric Co."	0.0495673
BofA	0.0495566
PictureTel	0.0494982
"Times Mirror Co."	0.0491973
"retail store"	0.0490141
DoubleClick	0.0489613
boutique	0.0488508
IDG	0.0487935
"Home Depot"	0.0485014
TIAA-CREF	0.0484792
EMC	0.0483998
VW	0.0483079
"Federated Department Stores"	0.0482547
"Southwest Airlines"	0.0481113
"Staples Inc."	0.047999
"Oracle Corp."	0.0478389
Globalstar	0.0478119
COSCO	0.0476851
"Chase Manhattan Bank"	0.047657
MetLife	0.0475487
Walgreens	0.0475158
"Circuit City"	0.0474226
"Apple Computer"	0.0471461
"National Organization"	0.0471406
Reel.com	0.0470603
"clothing store"	0.0470535
"Sharper Image"	0.0470038
IMG	0.0468972
"Knight Ridder"	0.0468076
"Thermo Electron"	0.0468062
CITIC	0.0467029
"MindSpring Enterprises"	0.0466909
"Ford Motor Company"	0.0466257
"Turner Broadcasting"	0.0466213
Instinet	0.046527
fidelity	0.0465106
Seagate	0.0464974
"Hewlett-Packard Co."	0.0464142
mutuel	0.0463499
"Nature Conservancy"	0.0462943
"Symantec Corp."	0.0462409
Kodak	0.04617
Bridgestone/Firestone	0.0461133
IMS	0.0458651
Citibank	0.0457061
"Ralph Lauren"	0.0456218
"Network Associates"	0.0455416
Priceline	0.0454679
Roebuck	0.0454325
"convenience store"	0.0453643
"Silicon Graphics"	0.0452821
Walgreen	0.045115
Kendall-Jackson	0.0450892
"toy store"	0.0450705
Livent	0.0450145
"pet food"	0.0449551
Schwab	0.0448894
"Transparency International"	0.0448655
"discount store"	0.0447254
"Delta @"	0.0446768
"Simon &AMP; Schuster"	0.0445685
Expedia	0.0444922
"Computer Associates"	0.0443593
"National Alliance"	0.0443544
"General Motors"	0.0443058
NiSource	0.0441848
pop-up	0.044151
"AOL Time Warner"	0.0441224
CNET	0.0441192
Novartis	0.0439705
Eximbank	0.0439397
"engagement ring"	0.0439095
"San Francisco Museum of Modern Art"	0.0438079
Federated	0.0437969
Fingerhut	0.0437603
merchandising	0.0437427
Tropicana	0.0436789
Yukos	0.0436757
"Tower Records"	0.043662
"Dell Computer Corp."	0.043604
"GE Capital"	0.04355
"Bank of America"	0.0434843
"Office Depot"	0.0434482
"Halliburton Co."	0.0433766
"Tommy Hilfiger"	0.0432342
))
("Barneys New York" (desc 2239.6) (sims
"Saks Fifth Avenue"	0.202616
Barneys	0.187988
"Neiman Marcus"	0.180552
"Bergdorf Goodman"	0.162625
Nordstrom	0.140696
Saks	0.12538
Bloomingdale's	0.11521
"Staples Inc."	0.0902462
Williams-Sonoma	0.0893279
CompUSA	0.0888753
"FAO Schwarz"	0.0866339
Macy	0.0838322
"Best Buy"	0.0831819
Costco	0.0820864
"Barnes &AMP; Noble"	0.0819595
"Levi Strauss &AMP; Co."	0.0761902
"Handgun Control"	0.0739572
Sotheby's	0.0710278
"Center for Science"	0.070733
"Peace Corps"	0.0691809
Kmart	0.0685486
Sears	0.0682221
Pets.com	0.0674609
"Rite Aid"	0.0673108
CDnow	0.0661727
"Thermo Electron"	0.0655777
"Home Depot"	0.0655507
"American Jewish Committee"	0.0648998
"Electronic Frontier Foundation"	0.0642688
"Conde Nast"	0.0640431
Staples	0.0635792
"High Museum of Art"	0.0630594
"National Institute"	0.0623704
"clothing store"	0.0619837
"Solomon R. Guggenheim Museum"	0.0610171
"Kenya Airways"	0.0607203
"Toys R Us"	0.0606375
"Wal-Mart Stores Inc."	0.0601537
"Corcoran Gallery"	0.0600182
BBDO	0.0591147
eToys	0.058951
"International Rescue Committee"	0.0588364
"Humane Society"	0.0585193
Publix	0.0581793
"Old Navy"	0.058057
DKNY	0.0579677
"business development"	0.0578598
"Whole Foods"	0.0578321
"Cuban American National Foundation"	0.0577361
Domino's	0.0576356
"Krispy Kreme"	0.0573956
"Handgun Control Inc."	0.0570465
"Banana Republic"	0.0566067
"Lincoln Center Theater"	0.0562201
"New York Civil Liberties Union"	0.0558914
"Department of Public Health"	0.0555386
emporium	0.0553728
Caldor	0.0552249
"Whitney Museum of American Art"	0.0552096
REI	0.0549496
"Diamond Multimedia"	0.0546702
Walmart	0.0546066
"San Francisco Museum of Modern Art"	0.0543277
"Amazon.com Inc."	0.0540154
HERMES	0.0539048
"Seagram Co."	0.0537593
Moma	0.053656
"Brooks Brothers"	0.0534531
"Ethics Commission"	0.0527134
Carrefour	0.0525343
Penney	0.0523232
Walgreens	0.0523191
Reel.com	0.0522906
"British Museum"	0.052169
"National Economic Council"	0.0520035
Tenneco	0.051803
"strategic planning"	0.0517924
"discount store"	0.0517759
"Sharper Image"	0.0516527
"Republican National Committee"	0.051565
"Pottery Barn"	0.0515313
CAAC	0.051439
"Stony Brook"	0.0514095
Christie's	0.0513688
"Democratic Senatorial Campaign Committee"	0.0509003
"Field Poll"	0.0507928
"Sierra Club"	0.0507655
"Vietnam Airlines"	0.0507355
"Russian Space Agency"	0.0506826
"J.C. Penney"	0.0499137
Starbucks	0.0498144
"Human Rights Campaign"	0.0497486
"Circuit City"	0.0496843
Cartier	0.0492168
"City Opera"	0.0487123
Boo.com	0.0480611
"Sprint PCS"	0.0479734
Waldorf	0.047814
"Federated Department Stores"	0.0477412
"Anti-Defamation League"	0.0476588
"National Republican Congressional Committee"	0.0476331
"U.S. Soccer Federation"	0.0475804
"Louis Vuitton"	0.0474129
"Fred Meyer"	0.0473333
Nepa	0.0472669
"National Federation"	0.0470691
"Museum of Natural History"	0.0468452
"Department of Corrections"	0.0467923
"Lord &AMP; Taylor"	0.0467553
Symantec	0.0467495
"L.L Bean"	0.0467416
AutoNation	0.0467404
"Dow Jones &AMP; Co."	0.0466906
"Heritage Foundation"	0.0465054
"specialty store"	0.0464538
Harrods	0.0464499
"Consumer Federation"	0.0464391
endocrinology	0.0463923
Givenchy	0.0462971
Kroger	0.0462542
"farmer's market"	0.0459803
Woolworth	0.0459701
Primedia	0.0457572
"National Science Foundation"	0.0456576
"Johnson Space Center"	0.0455151
ACLU	0.045189
"Human Rights Watch"	0.0451273
"Warner Brothers"	0.0451029
"Betsey Johnson"	0.0450699
CVS	0.0448654
Emeryville	0.0448284
Neiman	0.0447592
"State Bureau of Cultural Relics"	0.0447588
"Wine Institute"	0.0442498
Wyeth	0.0440768
"Jewish Museum"	0.0440113
NARAL	0.0438607
Safeway	0.0437058
"Office of Management and Budget"	0.0436484
"ad agency"	0.0433156
"Universal Pictures"	0.0430514
"China Southern Airlines"	0.043035
"Monsanto Co."	0.0430024
"Defense Agency"	0.0428749
"J. Crew"	0.0428576
McDonalds	0.0427629
"Pew Research Center"	0.0425256
"Computer Associates"	0.042485
"Foreign Affairs Office"	0.0424253
"Southeastern Legal Foundation"	0.0423975
"Hewlett-Packard Co."	0.0423762
"retail store"	0.0423649
"London School of Economics"	0.0423265
Burberry	0.0422604
Anheuser-Busch	0.0421444
"Tower Records"	0.0421246
"Australian Olympic Committee"	0.0420577
"Services division"	0.0420445
CMA	0.0419455
"right to life"	0.0419003
Guggenheim	0.0418737
"First Union Corp."	0.0418498
"Sydney Organizing Committee"	0.041784
"Hongkong Telecom"	0.0416539
"District @@"	0.0415942
"Hearst Corp."	0.0415656
"Center for Strategic"	0.0415377
"Fallon McElligott"	0.0411194
counterterrorism	0.0410725
OCA	0.0410131
"National Hurricane Center"	0.0410093
"English Football Association"	0.0409874
"Learning Co."	0.0409753
MFA	0.0409574
Corp.	0.0409377
"Natural Resources Defense Council"	0.0407239
DSE	0.0406295
"Philadelphia Orchestra"	0.0406139
Missourian	0.0405654
"silent movie"	0.0405122
"United Steelworkers"	0.0404327
"Brooklyn Museum of Art"	0.0403987
Wiz	0.0403386
"Philadelphia Museum of Art"	0.0403103
"National Association of Manufacturers"	0.0402781
"New York City Opera"	0.0402157
"Museum of Fine Arts"	0.0401877
"print media"	0.0401711
theglobe.com	0.0401672
Healtheon/WebMD	0.0401474
"Compaq Computer Corp."	0.0400496
))
(BARNICLE (desc 6522.75) (sims
"Mike Barnicle"	0.148981
Skuratov	0.114078
Bubb	0.103327
Ritter	0.103112
Vogts	0.0940436
Barad	0.0896458
Hersh	0.0893179
Chevenement	0.0880274
Schaeuble	0.0875186
Coelho	0.0874463
DERSHOWITZ	0.085967
Mokhehle	0.0836395
Koirala	0.0828053
Wiseman	0.08266
Lett	0.0817882
Catacosinos	0.081632
"Patricia Smith"	0.0811978
Safir	0.0810936
Zadornov	0.0807045
Enquirer	0.080476
Weizman	0.0804748
Demaci	0.0799323
DIMON	0.0795934
Muckler	0.079015
Rivlin	0.07812
Mukora	0.077608
Cisneros	0.0774023
Bakaly	0.076733
Symington	0.076357
Lafontaine	0.0762859
Hoddle	0.0758615
Spyridon	0.0758009
Farrakhan	0.0757718
Schott	0.0755692
Menchu	0.0753195
Willey	0.0748822
Quackenbush	0.0747513
Arbour	0.0732637
Kornberg	0.0730273
Kazhegeldin	0.0729913
Maradona	0.0722533
Lundberg	0.072114
Neeman	0.0717046
Layden	0.0710549
Rushdie	0.0710411
Clinton-Lewinsky	0.0709563
Bizimungu	0.0700532
Krugman	0.0693258
Deutch	0.0692978
Kassirer	0.0691627
Wiranto	0.0690342
DeBartolo	0.0688199
Joklik	0.068442
Sotomayor	0.0681489
Reimer	0.0678981
Mordechai	0.0678949
Imperatori	0.0678254
Cubas	0.0676893
Carnahan	0.0675997
Chubais	0.0673771
Leyland	0.067036
Sanan	0.066909
Carruth	0.0665471
Schottenheimer	0.066359
Sharpton	0.0662903
furrow	0.0659835
Korda	0.0658914
Camacho	0.0657462
Myhrvold	0.0657398
Laudrup	0.0656567
Majko	0.0654805
Babitsky	0.0654804
Trudeau	0.0653228
Schippers	0.0651713
McSorley	0.0649282
Gutman	0.0646559
WARRICK	0.0646261
MIYAZAWA	0.0644083
Volpe	0.0642317
Vieira	0.0642137
Sampson	0.06421
Nixon	0.0641788
Cianci	0.0641352
Kodikian	0.0640742
Nouri	0.0640604
Harrick	0.0638048
Hatfield	0.0637884
Haider	0.0636888
"National Enquirer"	0.0636463
Gosper	0.0636005
Prabowo	0.0636004
Singson	0.0635696
Deri	0.0632634
Dowd	0.063211
Gorter	0.0631129
Jayasinghe	0.0630099
Bavasi	0.0629986
Inhofe	0.0629755
Richardson	0.0628469
Erbakan	0.0628226
Horner	0.0628053
Storin	0.0627067
Kasich	0.0625242
Martz	0.0624742
Montalvo	0.0622854
McKenzie	0.0622576
Cowens	0.0621154
Zambrano	0.0620505
Coles	0.061916
Ota	0.0617301
Yastrzhembsky	0.0616672
Hiett	0.0614076
Schmalensee	0.0613583
Remnick	0.0613424
Asprilla	0.0611361
Kaplan	0.0609133
Bulatovic	0.0608827
Klein	0.0604775
Cramer	0.0603437
Baer	0.0602966
Ponciano	0.0602674
Livingston	0.0602501
Cavallo	0.0602083
Burke	0.0602064
Thayer	0.060203
Stacy	0.060199
Wiggins	0.0600434
Gailey	0.0599846
Barksdale	0.0598602
brill	0.0598282
Anwar	0.0597056
Pfeiffer	0.0596717
Meskini	0.0596394
Meissner	0.0594535
Swango	0.0594244
Berger	0.0593135
knight	0.0592267
Baca	0.0591862
Speer	0.0590982
Allchin	0.0590734
Sarsour	0.0590377
Montesinos	0.0590278
Irvin	0.0589114
Kumar	0.0588805
Boyle	0.0588137
Aikman	0.0586731
Mudge	0.0586523
Maslyukov	0.0584701
Purdy	0.0584529
Alcorn	0.0583521
Kagalovsky	0.0583475
Jager	0.0582864
Caddell	0.0582737
Mikhailov	0.058233
DuBose	0.0581816
Sassa	0.0581136
Coulter	0.0579792
Madrazo	0.0579403
Trulock	0.0578931
Borodin	0.0577604
Mahuad	0.0577169
Candiotti	0.0576931
Arizmendi	0.0576827
Sakakibara	0.057502
Azizah	0.0574667
op-ed	0.0574215
Naumann	0.0573914
"President Lee Teng-hui"	0.0573585
Stepashin	0.0572605
Podesta	0.0570248
McCurry	0.0570023
Arens	0.0569159
Taubman	0.0568559
Yazdi	0.0568554
Ribbeck	0.0568468
Ecevit	0.0568461
Bolger	0.0568294
Bhattarai	0.0567207
Barnes	0.0566758
Yadav	0.0566432
Salinger	0.0566389
Harmoko	0.0566195
jacoby	0.0565406
Lee	0.0565384
Freeh	0.0562633
Kerasiotes	0.0561747
Stossel	0.0561577
Kiriyenko	0.0561074
Maskhadov	0.0560573
Ishihara	0.0559798
Baumann	0.0559758
Ganga	0.0559282
"Michael Murphy"	0.0558276
Hashimoto	0.0557827
Soares	0.0557035
Boesak	0.0556734
Faget	0.0556722
Sheehy	0.0556628
Estrada	0.0556361
Ratner	0.0555625
))
(Barnsley (desc 1098.48) (sims
Watford	0.190105
Sunderland	0.167508
"Leicester City"	0.167299
"Leeds United"	0.155378
"Nottingham Forest"	0.145429
Blackburn	0.141969
Middlesbrough	0.141791
"Derby County"	0.138016
Fulham	0.137086
Ipswich	0.130848
"Glasgow Rangers"	0.130668
"West Ham United"	0.121739
"Coventry City"	0.118076
Southampton	0.114916
Bolton	0.111253
"Aston Villa"	0.110123
Tottenham	0.105995
"Chinese Army"	0.105444
"Blackburn Rovers"	0.104491
"Bradford City"	0.104331
"Newcastle United"	0.101876
Villareal	0.100551
"Crystal Palace"	0.100255
Everton	0.0997203
"Red Star"	0.0975551
Espanyol	0.0975551
Norwich	0.0968317
Charlton	0.0949761
Empoli	0.0944842
Coventry	0.0936387
Alaves	0.0934735
"Olympique Marseille"	0.0923806
Nacional	0.0912189
"Real Betis"	0.0907447
"Real Sociedad"	0.0854518
Luton	0.0848553
"Arnaud Di Pasquale"	0.0826305
Dundee	0.0818376
"Manchester United"	0.0809098
"Tottenham Hotspur"	0.0805935
Leicester	0.0803538
"Phenix City"	0.0798527
Dortmund	0.0796889
Gremio	0.0794863
"Younes El Aynaoui"	0.0786683
Bastia	0.0779647
Leeds	0.0771867
Liverpool	0.0770575
Perugia	0.0763867
Crewe	0.0761813
"Athletic Bilbao"	0.0759825
Lecce	0.0757762
"MaliVai Washington"	0.0757405
LaPointe	0.0754788
Newcastle	0.075395
"Croatia Zagreb"	0.0751819
Atalanta	0.0742972
Kashima	0.0735978
"Arnaud Clement"	0.0734325
"Albert Portas"	0.0730749
"Slavia Prague"	0.072683
Ghent	0.0724456
"Boca Juniors"	0.0720669
Internazionale	0.0718707
Vale	0.0705786
Celta	0.0696132
Torino	0.0692746
"Paris St Germain"	0.0684863
"Velez Sarsfield"	0.0683901
Valladolid	0.0679744
"Magui Serna"	0.0679423
Extremadura	0.067374
"Partizan Belgrade"	0.0667386
Kaiserslautern	0.0665549
Freiburg	0.0663944
Stoltenberg	0.06636
"Kinder Bologna"	0.0663372
"Sichuan Quanxing"	0.0658731
Nicol	0.065675
Zaragoza	0.0653179
Portsmouth	0.0653133
Obilic	0.0652654
"Atletico Madrid"	0.0650792
"Paul Goldstein"	0.0645048
"Rita Grande"	0.0640473
TVM	0.0637812
Spartak	0.063541
Edberg	0.0632138
Palmeiras	0.0630829
Anfield	0.0629556
"PSV Eindhoven"	0.0629187
Zamalek	0.0627867
Bundesliga	0.062465
"Joannette Kruger"	0.0623264
"Asa Carlsson"	0.0622192
Bari	0.0619368
Wolfsburg	0.0619182
"Bayer Leverkusen"	0.0618609
"Tatiana Panova"	0.0614083
"VfB Stuttgart"	0.0613225
"Borussia Moenchengladbach"	0.061295
"Dalian Wanda"	0.0610906
"VfL Wolfsburg"	0.0608891
"Old Trafford"	0.0607121
Rosenborg	0.0605665
"Jeff Tarango"	0.0603783
"Anaheim Mighty Ducks"	0.0601365
"Hertha Berlin"	0.0600643
"Class AAA"	0.0600592
Biffle	0.0600071
Cagliari	0.0599707
Auxerre	0.059645
"Idaho State"	0.0595281
"Renzo Furlan"	0.0592879
"San Lorenzo"	0.059224
"AC Milan"	0.0592006
"Marcelo Filippini"	0.0591632
"Xavier Malisse"	0.0591629
Deportivo	0.0588718
Besiktas	0.058638
Venezia	0.0585833
"Andreas Vinciguerra"	0.0585453
"Nicole Pratt"	0.0584702
"Gianluca Pozzi"	0.0583375
Salamanca	0.0582337
"Nathalie Dechy"	0.0581592
"Amy Frazier"	0.0580382
"Premier League"	0.0578742
"Alexandra Stevenson"	0.0576253
"Carlos Costa"	0.0573035
"West Ham"	0.0571392
Kremer	0.0571046
"Sarah Pitkowski"	0.0570308
Prinosil	0.0568831
Valencia	0.0568265
"Shanghai Shenhua"	0.0568131
"Tara Snyder"	0.0568023
AEK	0.0567246
"Franco Squillari"	0.0565961
"Boston Bruins"	0.0564075
"Indiana State"	0.0563471
Shenhua	0.0563097
Bradford	0.0562986
Fenerbahce	0.0562684
"Andrei Pavel"	0.0562044
"Kenneth Carlsen"	0.0559851
"Karim Alami"	0.0558937
Canterbury	0.0557618
"Hernan Gumy"	0.0557324
"Mikael Tillstrom"	0.055633
Sampdoria	0.05558
Fiorentina	0.0555602
"Sargis Sargsian"	0.0554803
"Lisa Raymond"	0.055464
"Calgary Flames"	0.0554187
"Andrew Ilie"	0.0554055
"Richard Fromberg"	0.0552974
Ajax	0.055243
"Michael Stich"	0.0551906
"Deportivo La Coruna"	0.0550366
"Daniel Nestor"	0.0547155
Raoux	0.0546862
"Phoenix Mercury"	0.0545706
"Els Callens"	0.0544593
"Mississippi State"	0.0544564
Tenerife	0.0544204
Sevilla	0.0543255
"Judith Wiesner"	0.054257
"Adrian Voinea"	0.0542422
"Vincent Spadea"	0.0542278
"Mariano Zabaleta"	0.0542237
"Jonathan Stark"	0.0542107
"Ottawa Senators"	0.0541674
"Slovak Republic"	0.0541434
"Neville Godwin"	0.0541412
"English Premier League"	0.0540971
"Dynamo Kiev"	0.0540593
Tarango	0.0539933
Likhovtseva	0.0538345
"Weber State"	0.053791
Berasategui	0.0536276
Nottingham	0.05351
"Brett Steven"	0.0534732
"Arnaud Boetsch"	0.0533367
"AEK Athens"	0.053322
"Sebastien Lareau"	0.0532223
"Alberto Costa"	0.0530466
"Rainer Schuttler"	0.0529191
"Galo Blanco"	0.0529058
Metz	0.0527165
"Southern Mississippi"	0.0526821
Bayern	0.0525906
Meligeni	0.0523704
"TOMS RIVER"	0.0522539
Schalken	0.0522241
"Roger Federer"	0.0522046
Sanchez-Vicario	0.0521675
"Anne Kremer"	0.0521553
Bremen	0.0520595
Brondby	0.0520592
))
(Barnum (desc 1738.74) (sims
Lacresha	0.0804189
Gauthe	0.0791022
LeFave	0.0775545
Faulder	0.0774634
Laudor	0.0758738
Mease	0.0754242
Lileikis	0.0741139
Beckwith	0.0728691
Manbar	0.0728271
"Russell Peeler"	0.0706067
McAlister	0.0686241
Coe	0.0683786
Abu-Jamal	0.0679703
Maharaj	0.0666123
McVeigh	0.0660572
Kehoe	0.0653086
Berenson	0.064054
Symington	0.0639699
"Maturino Resendiz"	0.0637579
Blackthorne	0.0632438
Garrity	0.0628277
Echegaray	0.0622624
Hiett	0.0619733
Akayesu	0.0611683
Siripongs	0.0608168
Surin	0.060474
Horowitz	0.0599974
Rideau	0.0598183
McGinn	0.0592839
"Michael Skakel"	0.0591946
Hsia	0.0580768
Brazill	0.0575459
Norberg	0.05741
Chautauqua	0.0570484
Jarrell	0.0563776
Sebaggala	0.0560029
Tarver	0.0555954
Robison	0.0555543
Capano	0.054244
Schmitz	0.0540989
Hines	0.0537158
Neulander	0.0535607
Fassett	0.0530224
Shipman	0.0522948
Barrionuevo	0.0522772
Haley	0.0520764
Milken	0.0517642
Lugo	0.0515842
"Louise Woodward"	0.0512368
Kurth	0.0510563
McDuff	0.0501957
"Jack Kevorkian"	0.0500913
Yoo	0.0497679
Khalil	0.0493701
Markhasev	0.0492745
Jenoff	0.0492092
Bruder	0.0487279
Mattysse	0.0485366
Abram	0.0483095
Skakel	0.0478503
Jelisic	0.047784
Valenzuela	0.0476538
Maag	0.0476514
peeler	0.0472679
"Juan Miguel"	0.0469259
McWilliams	0.0469055
Salemme	0.0468863
Ershad	0.0468233
Garza	0.0466228
"War Chant"	0.0464927
Deri	0.0464756
Strahan	0.0460751
Durwood	0.0459834
patrolman	0.0459665
Zamora	0.0459216
Sheinbein	0.0457936
Priebke	0.0454458
Stoyanov	0.0452368
Barrie	0.0451882
Bakaly	0.0450434
Ringling	0.0449057
cannonball	0.044502
Abernathy	0.0444915
Eubanks	0.0442523
Sheppard	0.0439734
Papon	0.0435856
Falater	0.0435074
Hepburn	0.043463
Einhorn	0.0432794
"Patsy Ramsey"	0.0432343
Prewitt	0.0431214
Mitterrand	0.0431185
Schaffer	0.0428459
Adair	0.0425755
Ehrlichman	0.0425013
Wolfson	0.042276
Berle	0.0422085
Mapes	0.0415635
"Timothy McVeigh"	0.0415302
looper	0.0411389
"David Graham"	0.0410139
Eappens	0.0408661
Zeng	0.0408272
Sweeting	0.0407933
Sharma	0.040622
Brazile	0.0404639
Shatner	0.0403522
Piggie	0.0402377
workman	0.0401791
Schweitzer	0.04006
))
(barnyard (desc 1873.2) (sims
down-and-out	0.057678
abattoir	0.057026
raunchy	0.0522096
Orwellian	0.0518946
Khmer	0.0518723
gallows	0.0503871
Hula	0.0502094
striptease	0.0499497
"first school"	0.0497747
Aztec	0.0492741
draught	0.0484862
bacillus	0.047855
Javanese	0.0470238
"picture postcard"	0.0466475
"ice age"	0.0464824
trapeze	0.0458869
Burnt	0.0458264
Kiswahili	0.0452709
defoliant	0.0450617
manor	0.0449884
"A few key"	0.0449096
"Dirty Bird"	0.0447245
"Norman Rockwell"	0.0433598
"high society"	0.0427462
Stroganoff	0.0425763
"Martha Graham"	0.0424775
"dog bite"	0.0417285
"Missouri River"	0.041103
"grade school"	0.0401109
goofball	0.0400841
))
(barometer (desc 16594.2) (sims
gauge	0.2496
indicator	0.216543
"leading indicator"	0.154273
predictor	0.132187
benchmark	0.131817
bellwether	0.129199
yardstick	0.118034
indication	0.111252
"Nikkei Stock Average"	0.107671
"Straits Times Index"	0.103592
"Philippine Stock Exchange Index"	0.0973571
determinant	0.0932242
"Hang Seng Index"	0.0911379
"Straits Times Industrials Index"	0.0876558
index	0.0866714
"CAC @@"	0.0863624
"market average"	0.0838703
"Weighted Price Index"	0.0837953
indicative	0.0837375
proxy	0.0831343
reflection	0.0821609
"Tokyo Stock Price Index"	0.079739
STI	0.0796795
"Composite Index"	0.0795559
Bovespa	0.0784359
indices	0.077844
Nikkei	0.0776787
harbinger	0.0744576
Sensex	0.0737125
"test case"	0.0737038
"Xetra Dax"	0.0736827
"FTSE @@@"	0.0710002
measurement	0.0705278
"driving force"	0.0703838
"turning point"	0.069177
"measuring stick"	0.0655751
"Hang Seng"	0.0644022
cornerstone	0.0639194
DAX	0.063764
"reference point"	0.0635934
guarantor	0.0629738
catalyst	0.0628757
CAC-@@	0.0628389
validation	0.0615438
"Commonwealth Bank of Australia"	0.0610524
"safety valve"	0.0601048
"building block"	0.0599713
Dow	0.0591835
criterion	0.0589775
Composite	0.0583018
steppingstone	0.0576399
"stepping stone"	0.057463
proof	0.0567197
omen	0.0564482
microcosm	0.0563214
"good example"	0.056262
underpinning	0.0558801
bulwark	0.0557861
"Industrial Index"	0.055305
prerequisite	0.0551422
gyration	0.0545132
"News Corp"	0.0539406
reversal	0.0535569
symbol	0.0535559
precursor	0.0532928
"Dow Jones Industrial Average"	0.0532807
lifeline	0.0532469
"Commonwealth Bank"	0.053187
cog	0.0530058
sub-index	0.0527263
"role model"	0.0524372
"focal point"	0.0523959
BHP	0.0521903
industrials	0.0520761
touchstone	0.0514939
laggard	0.0513527
haven	0.0513401
manifestation	0.0513345
capitalization	0.0513219
inkling	0.0510388
"Rio Tinto"	0.0507817
buoyancy	0.0505601
"Bull Run"	0.0503008
affirmation	0.0500249
linchpin	0.0499648
savior	0.0499074
bastion	0.0498754
exemplar	0.0498384
"bond price"	0.0492967
"high level"	0.0492655
"Emas Index"	0.0492519
"cash cow"	0.0491651
"stumbling block"	0.0491193
subset	0.0489924
reminder	0.0487859
vagary	0.0486405
repository	0.0485958
"SPH @@@"	0.0485821
motivator	0.0483753
worsening	0.0482373
Westpac	0.0481705
impetus	0.0479045
"Shanghai Composite Index"	0.0478803
"blue-chip stock"	0.04786
assessment	0.0477874
parameter	0.047615
softening	0.0475795
compass	0.0474822
sluggishness	0.0473691
backdrop	0.0473042
hotbed	0.047234
hallmark	0.0470898
milestone	0.0469327
analyses	0.0468582
scrip	0.0467821
approximation	0.046635
bedrock	0.0466046
backbone	0.0463954
guidepost	0.0463786
fluke	0.0463102
SPH	0.0463043
"first step"	0.0460652
"breeding ground"	0.0458739
Nasdaq	0.0454902
"blue chip"	0.0454839
Correction	0.0454201
conduit	0.0453327
battleground	0.045307
ANZ	0.0452788
groundswell	0.045186
"Philippine peso"	0.044882
impediment	0.0448155
"preferred shares"	0.0447218
outlook	0.044603
"ordinary shares"	0.044513
showcase	0.044468
"GE Life"	0.0443931
blessing	0.0442188
"sum total"	0.044163
fundamental	0.0441425
"determining factor"	0.0441286
"rallying point"	0.0435124
Gateway	0.0433398
facet	0.0433019
PacCent	0.0432803
volatility	0.0432575
"starting point"	0.0431082
embodiment	0.0430713
"role player"	0.043069
metaphor	0.0429046
continuation	0.0426577
portent	0.0425695
"Second Board Index"	0.0424748
pinnacle	0.0424531
"futures price"	0.0424497
manipulator	0.0424329
"dress rehearsal"	0.042422
"bargaining chip"	0.0424176
pillar	0.0423934
ballast	0.0423841
"good deal"	0.0423001
overview	0.0421664
byproduct	0.0421557
"guiding light"	0.0420083
HSI	0.0418185
"prime mover"	0.0418073
resurgence	0.0417903
"gold standard"	0.0417461
summation	0.0417388
snapshot	0.0416559
boon	0.0416371
mainstay	0.0415984
ratio	0.0415073
expression	0.0414818
obstacle	0.0414361
Stocks	0.0413059
"Creative @@"	0.0412214
vindication	0.041184
"National Australia Bank"	0.0409765
stand-in	0.0409634
stimulus	0.0408272
"S&AMP;P"	0.040682
modicum	0.0406427
selloff	0.0406081
anomaly	0.0405369
interlocutor	0.04035
justification	0.040308
"takeover target"	0.0400812
))
(baron (desc 18815.2) (sims
magnate	0.148131
tycoon	0.1341
mogul	0.10845
Industrialist	0.0935104
"A.R Baron"	0.0868583
financier	0.083691
philanthropist	0.0817589
oligarch	0.0815176
banker	0.0766545
entrepreneur	0.0711824
businessman	0.0696746
kingpin	0.0695906
trafficker	0.0668209
billionaire	0.0641718
millionaire	0.0638421
politician	0.0629512
"drug trafficker"	0.0611787
"drug lord"	0.0602511
merchant	0.0589096
landowner	0.0589034
businessmen	0.0588237
smuggler	0.0580442
"real estate developer"	0.0567027
mobster	0.0563201
developer	0.0561283
inventor	0.0552552
cleric	0.0552096
"drug dealer"	0.0551658
"Boris Berezovsky"	0.0544766
robber	0.0543998
stockbroker	0.054108
"newspaper publisher"	0.0539861
boss	0.0536838
criminal	0.0534669
"civil rights leader"	0.0532059
bureaucrat	0.0532021
czar	0.0531363
Playwright	0.0527482
giant	0.0519419
gangster	0.0516581
trader	0.0513851
capitalist	0.0513748
cartel	0.0512892
"business executive"	0.0511963
chieftain	0.0505501
corporation	0.0496058
elite	0.0495552
lobbyist	0.0490869
activist	0.0488842
"investment banker"	0.0488663
"political leader"	0.0487147
dealer	0.0486685
Berezovsky	0.0486412
broker	0.0486022
preacher	0.0482979
rancher	0.0482648
poet	0.0479625
Pioneer	0.0476875
multimillionaires	0.047654
Mafia	0.0476396
"foreign service officer"	0.0472261
"business leader"	0.0472199
aristocrat	0.0470759
billionaires	0.0470347
reformer	0.0469765
"power broker"	0.046568
heiress	0.0464677
exporter	0.0464594
publisher	0.0464359
Communist	0.0464287
dictator	0.0462194
wholesaler	0.0460986
oligarchy	0.0460609
terrorist	0.0460596
"Jesse James"	0.0460411
distributor	0.0458841
ruler	0.0458561
"shipping company"	0.0457472
empire	0.045733
"serial killer"	0.045725
journalist	0.0457026
lawmaker	0.0454202
titan	0.0453869
"coal miner"	0.0453544
Danforth	0.0453042
nobleman	0.0452853
clergyman	0.0451722
"government officials"	0.0451248
Coelho	0.0450885
"Sonia Gandhi"	0.0450196
environmentalist	0.0449835
warlord	0.044959
"brokerage firm"	0.0448736
hacker	0.044783
revolutionary	0.0447721
manufacturer	0.0447572
"farm worker"	0.044744
peasant	0.0445392
importer	0.0445068
diplomat	0.0444909
founder	0.0442661
"military officer"	0.0439165
"corporate executive"	0.0438423
brokerage	0.043822
statesmen	0.0437699
jurist	0.0436466
rabbi	0.0435925
monk	0.0435696
landlord	0.0434509
"art dealer"	0.0434209
planter	0.043325
grower	0.0433071
gang	0.0432646
knight	0.0432437
"newspaper editor"	0.0432263
syndicate	0.0432208
crony	0.0431574
missionary	0.0431445
Gutierrez	0.0431331
watchdog	0.0431264
builder	0.0429759
intellectual	0.0429364
"labor leader"	0.0428987
conglomerate	0.0428091
aristocracy	0.0427719
murderer	0.0427711
Killer	0.0427015
"cabinet minister"	0.0426327
xu	0.0426268
"venture capitalist"	0.0426184
bishop	0.0424882
sportsmen	0.0423804
"interest group"	0.0423125
Northerner	0.0423069
"Rupert Murdoch"	0.0422028
emperor	0.0420785
operator	0.0419345
regulator	0.041875
collector	0.0418268
"army officer"	0.0417666
photographer	0.0417202
"Khun Sa"	0.0416774
Baker	0.0416013
supplier	0.0415558
architect	0.0415406
musician	0.0415265
leftist	0.0415015
Daley	0.0414915
"military leader"	0.0414648
legislator	0.0414041
trustee	0.0414024
heir	0.0413659
execs	0.041364
Gusinsky	0.0412813
priest	0.0412477
monopolist	0.0412323
Lord	0.0409171
Rosenberg	0.0408196
Robinson	0.0408112
Berlusconi	0.0407855
Frankel	0.0407626
benefactor	0.0407284
immigrant	0.0407266
"movie star"	0.0406157
visionary	0.0405375
nationalist	0.0404858
composer	0.0404818
"trial lawyer"	0.0404511
liberal	0.0402748
"solicitor general"	0.0402607
Suharto	0.0401844
thief	0.0401382
dissident	0.0401137
logger	0.0400731
insider	0.0400365
))
("Baron Davis" (desc 5543.27) (sims
"Andre Miller"	0.255283
"William Avery"	0.198527
"Elton Brand"	0.192962
"Steve Francis"	0.183794
"Ryan Bailey"	0.177721
"Ron Artest"	0.175634
"Billy Knight"	0.174061
"Lamar Odom"	0.173842
"Jerome Moiso"	0.164552
"Richard Hamilton"	0.163891
"Jason Terry"	0.156867
"Earl Watson"	0.155743
"Rico Hines"	0.154113
"Ray Young"	0.154109
"Dan Gadzuric"	0.152626
"Erick Barkley"	0.150588
"Khalid El-Amin"	0.149503
"Mateen Cleaves"	0.14789
"Trajan Langdon"	0.142874
"Wally Szczerbiak"	0.138045
"JaRon Rush"	0.135874
"Corey Maggette"	0.132602
"Cade McNown"	0.124549
"Jumaine Jones"	0.124496
"Kenny Thomas"	0.12019
"Mike Bibby"	0.116866
"Michael Olowokandi"	0.114771
"Anthony Johnson"	0.113328
"Matt Barnes"	0.112725
"Brandon Granville"	0.110795
"Toby Bailey"	0.110556
"Darrell Armstrong"	0.108192
"Jason Kapono"	0.104247
"Michael Redd"	0.101236
"Jason Williams"	0.0980596
"Shammond Williams"	0.0942952
Gadzuric	0.0941229
El-Amin	0.0938603
"Jeff Trepagnier"	0.0902499
"Sherman Douglas"	0.089983
"Sean Farnham"	0.0889598
"DeShaun Foster"	0.0887456
"Ricky Moore"	0.0875244
"Cuttino Mobley"	0.0872859
"Pat Garrity"	0.0864649
"Dion Glover"	0.0864112
"Al Harrington"	0.0860551
"Kim Perrot"	0.0849702
"Jamal Lewis"	0.0839161
"Bryce Drew"	0.0838637
"Akili Smith"	0.0835104
"Scoonie Penn"	0.0829879
"Stephon Marbury"	0.0827384
"Dez White"	0.0826394
"Teresa Weatherspoon"	0.0824867
"Pat Burrell"	0.0823436
"Jelani McCoy"	0.0818583
Olowokandi	0.0813076
"Mark Madsen"	0.0812658
"Cynthia Cooper"	0.080916
Langdon	0.080771
"Bimbo Coles"	0.0806467
"Paul Pierce"	0.0805614
"Bobby Newcombe"	0.080437
"Derek Anderson"	0.0803545
"Toni Kukoc"	0.0797372
"Michael Dickerson"	0.0795251
"Antonio Daniels"	0.0794993
"Matt Santangelo"	0.0794167
Avery	0.0785943
"Maurice Taylor"	0.0785758
"Solomon Page"	0.0784396
"Greg Ellis"	0.0784144
"Ryan Kealy"	0.0783899
"Eric Murdock"	0.0783745
"Drew Henson"	0.0779893
"Champ Bailey"	0.0778724
"John Avery"	0.0773581
"Chris Childs"	0.076634
"Larry Hughes"	0.0763665
"Charlie Ward"	0.0763145
"Derek Fisher"	0.0761555
"Robert Edwards"	0.0761032
"Mark Jackson"	0.0757483
"Bonzi Wells"	0.0755412
"Brevin Knight"	0.0748866
"Travis Best"	0.0741648
"Avery Johnson"	0.0740305
Maggette	0.0739443
"B.J Armstrong"	0.0737382
"Shandon Anderson"	0.0735243
"Tyronn Lue"	0.0734768
"Marques Anderson"	0.0732906
"Eric Snow"	0.0729123
"Kenny Anderson"	0.072905
Moiso	0.0727948
"Jim Jackson"	0.0726672
"Kevin Johnson"	0.0726142
"Jonathan Bender"	0.0725447
"Sam Cassell"	0.0725435
"Damien Woody"	0.0724802
"Dawn Staley"	0.0723094
"Kobe Bryant"	0.0721253
"Glen Rice"	0.0714497
Francis	0.0712273
"Ryan McCann"	0.0711429
"Terrell Brandon"	0.0710025
"Ron Harper"	0.0708695
"Wayne Turner"	0.0707586
"Tim Hardaway"	0.0707034
"Kris Farris"	0.0706494
"Ken Kocher"	0.0706137
"Michele Timms"	0.0703027
"Darrick Martin"	0.0700567
"Patrik Stefan"	0.0699844
"Devean George"	0.0697374
"Ryan Leaf"	0.069728
"Allen Iverson"	0.0694567
Odom	0.069248
Najera	0.0692371
"Darius Miles"	0.0687645
"Curtis Enis"	0.0687594
"Derek Harper"	0.0684519
"Jason Kidd"	0.0683319
"Kenyon Martin"	0.0682773
"Tim Couch"	0.0681993
"Ron Mercer"	0.0680884
"Chamique Holdsclaw"	0.067991
Bibby	0.0678955
"Danny Farmer"	0.0673585
"Dirk Nowitzki"	0.0671613
"Leon Smith"	0.0670626
"Terry Porter"	0.0669992
"David Wesley"	0.0667153
"Drew Bennett"	0.0665238
"Chauncey Billups"	0.0663626
"Reggie Miller"	0.06625
"Flozell Adams"	0.0659956
"Greg Anthony"	0.0659346
"Gary Payton"	0.0658928
Cleaves	0.0653531
Kapono	0.064717
"John Stockton"	0.0646628
"Shane Battier"	0.0646626
"Freddie Mitchell"	0.064533
"Shawn Marion"	0.0641674
"Isaiah Rider"	0.0636103
Holdsclaw	0.0634608
"Andre Wadsworth"	0.0634392
McNown	0.0634313
"Damon Stoudamire"	0.0633688
"Hersey Hawkins"	0.0631509
"Joe Dumars"	0.0630686
"Jeff Hornacek"	0.0624488
"Kevin Faulk"	0.0623598
"Edgerrin James"	0.0623311
"Sam Clancy"	0.0622608
"Mike Miller"	0.0622584
"Todd Husak"	0.0619539
"Mitch Richmond"	0.0619258
"Howard Eisley"	0.0616548
"Nick Van Exel"	0.0615681
"Jeff Weaver"	0.0613138
"Nate Newton"	0.0606793
"Chris Weinke"	0.0606084
Nailon	0.0605356
"Rex Chapman"	0.0604869
"Penny Hardaway"	0.0604202
"Troy Aikman"	0.0604076
"Allan Houston"	0.0600741
"Keith Brooking"	0.0600462
"Kerry Kittles"	0.0596245
"Andy Katzenmoyer"	0.0595436
"Scottie Pippen"	0.0595266
"Steve Kerr"	0.0594842
"Ukari Figgs"	0.0593903
"Jermaine Lewis"	0.0590211
"Jimmy Oliver"	0.0590084
"Steve Nash"	0.0588429
Scoonie	0.0585141
"Joe Thornton"	0.0583924
"Adrian Griffin"	0.0583851
Underwood	0.0583405
Trepagnier	0.05833
"David Boston"	0.0582525
"Marcus Camby"	0.058082
Wheatley	0.0580516
"Brock Huard"	0.0580177
"Thomas Jones"	0.0579113
MARBURY	0.0578143
Hornacek	0.0576935
"Eddie Jones"	0.0575984
"Robert Pack"	0.0575686
"Courtney Alexander"	0.0574955
"Antawn Jamison"	0.0573769
"Rod Strickland"	0.0573416
"L.J Shelton"	0.057321
"Charlie Batch"	0.0570388
"David Robinson"	0.0570198
"Larry Johnson"	0.0567842
))
(baroque (desc 2460.47) (sims
minimalism	0.0650012
realpolitik	0.0610756
Rodin	0.0583895
reformation	0.0575306
Impressionism	0.0574102
gothic	0.0570921
traditionalism	0.0566077
modernism	0.0519508
puritanism	0.0516576
bluegrass	0.0507791
Monteverdi	0.0498446
brinksmanship	0.0493
"wishful thinking"	0.0491254
"brown bear"	0.0488054
"middle ages"	0.0478981
Impressionist	0.0474052
rhythm-and-blues	0.0473596
specialization	0.0461785
"free spirit"	0.0458559
Purcell	0.0458305
"test-tube baby"	0.0452994
"Vienna Philharmonic"	0.0452911
"Fernando Henrique Cardoso"	0.0450639
klezmer	0.0449286
secularism	0.0445707
Yat-sen	0.0445509
"scientific theory"	0.044545
"American Dream"	0.0437469
"haute couture"	0.0433709
"Charlie Parker"	0.0430425
"speech pattern"	0.0427124
eroticism	0.0422865
classicism	0.0419716
ragtime	0.0415744
selflessness	0.0413293
Romanticism	0.0405659
"knockout punch"	0.0403143
"Peking Opera"	0.0402554
unionism	0.0401927
"abstract expressionism"	0.0401847
copulation	0.0401619
))
(Barr (desc 9758.26) (sims
Hyde	0.138634
Dingell	0.130352
Ashcroft	0.126805
McConnell	0.124538
"Bob Barr"	0.117667
Hastert	0.117332
Rogan	0.11354
Gingrich	0.111165
Boehner	0.10783
Gephardt	0.106913
Livingston	0.106704
Armey	0.106618
Quayle	0.106324
Gramm	0.105307
Schumer	0.103599
McCollum	0.103178
Lott	0.102917
Kyl	0.102496
Daschle	0.101655
Pelosi	0.099899
Hayworth	0.0993359
Hagel	0.098726
Lieberman	0.0983042
Bauer	0.0982601
Coverdell	0.0974327
Levin	0.0958006
Helms	0.0953979
Waxman	0.0948579
Kolbe	0.0947723
Giuliani	0.0939495
Gorton	0.0935724
Craig	0.0933608
Mauro	0.0933238
Caddell	0.092957
Hutchinson	0.091856
Torricelli	0.0917401
Moynihan	0.0916506
Rosenthal	0.0911867
Shays	0.091079
Cheney	0.0895842
McCain	0.0890951
Forbes	0.0889249
McGovern	0.0884131
Spitzer	0.0881992
Hoffmann	0.0875744
Lautenberg	0.0875138
Leahy	0.0871907
Gosper	0.087061
Buchanan	0.0869934
Archer	0.0867762
Nader	0.0857469
Nethercutt	0.0856698
Schwartz	0.0854459
Hutchison	0.0852639
Quackenbush	0.0852294
Mukora	0.0846478
DOLE	0.0839929
Berger	0.083779
Ganga	0.0830675
Kasich	0.0829774
McCall	0.0828995
Shapiro	0.082796
McCaffrey	0.0823739
Cornyn	0.0821765
Roth	0.0819852
FAIRCLOTH	0.0817786
D'Amato	0.0815551
Weldon	0.0812156
Weizman	0.0811001
Foley	0.0810301
Brownback	0.0808518
Nicholson	0.080847
Graham	0.0807945
Taft	0.0807794
Feinstein	0.0807596
Sanan	0.0807556
Harkin	0.0806732
hatch	0.0805868
Baucus	0.0804829
Markey	0.0799954
Lockhart	0.0798973
Lungren	0.0796126
Garza	0.0794417
Harris-Lewis	0.078917
Engler	0.0787426
Welch	0.0785655
franks	0.078483
Samaranch	0.0783717
Babbitt	0.0782596
Ferraro	0.0779305
Corzine	0.0776415
Sharpton	0.077416
SHUSTER	0.0773985
Bateman	0.0771727
Wellstone	0.0771537
Kendall	0.0766525
Lazio	0.0766445
fowler	0.0766023
Ferguson	0.0765343
Doggett	0.0763816
Hodler	0.0761703
Trimble	0.0761383
"Paul Coverdell"	0.0761344
Siegel	0.0759738
MacKay	0.0759054
Finkel	0.0758971
Cochran	0.0758537
Upton	0.0758126
Bartlett	0.0756488
Grassley	0.0756177
"Henry Hyde"	0.0756092
Cellucci	0.0755561
Sensenbrenner	0.0755097
Hoddle	0.0754209
Rubin	0.0750368
Fong	0.0749337
Eisner	0.0748628
Nickles	0.0746954
Abraham	0.0746835
Santorum	0.0746374
Reilly	0.0744445
Zadornov	0.0742822
Vallone	0.073908
Ritter	0.0737023
Bradley	0.0735365
Chavez	0.0735152
Richardson	0.0735098
Zyuganov	0.0733144
Riordan	0.0732629
Blumenthal	0.0731674
Patten	0.0728215
R-Ill.	0.0727274
Draskovic	0.0724492
R-Miss.	0.0724231
Hagelin	0.0723515
Cohen	0.0722955
Schaeuble	0.0722762
Symington	0.0722719
Goldstein	0.072232
Verney	0.0720351
gore	0.0720197
BURNHAM	0.0719729
Ruff	0.071657
Coelho	0.0716449
Dunn	0.0715924
Feingold	0.0715744
Moran	0.0713871
Bettman	0.0713292
Gullikson	0.0711259
Barrett	0.0711094
Fleischer	0.0707607
Mandelson	0.0707255
Hess	0.0706972
Muhammad	0.0705811
"De Klerk"	0.0705329
Kessler	0.0705167
Murkowski	0.0704934
Siegelman	0.0703664
Keyes	0.070353
Bulatovic	0.0701362
Garcetti	0.0700723
Daley	0.0698233
Kaplan	0.0698232
smith	0.0696577
Joklik	0.0695193
Seleznyov	0.0694621
Florio	0.0694096
Robertson	0.0692644
Fitzgerald	0.06922
xu	0.0692081
Toledo	0.0691797
Powell	0.069155
Conyers	0.0690446
Patterson	0.0689724
Cardoso	0.0689708
"Rick Lazio"	0.0688483
Salazar	0.0688243
Pataki	0.0687506
Burton	0.0687336
Kennard	0.0686169
Mordechai	0.0684721
Leavitt	0.0684533
Vogts	0.0684384
Tauzin	0.0684016
Sibley	0.0683857
Fischer	0.0683542
Schippers	0.0680817
Hu	0.0679793
Wolfson	0.0679544
Alarcon	0.0678625
Engel	0.0678326
Gilmore	0.0677903
LU	0.0677495
Harshbarger	0.0676355
Fieger	0.0676334
Ruehe	0.067579
Gilman	0.0675197
Carnahan	0.0673641
Schroeder	0.06736
Walsh	0.0673591
))
(barrack (desc 34654) (sims
depot	0.141495
airfield	0.127239
"police station"	0.126959
"military installation"	0.120852
dormitory	0.12003
garrison	0.117154
building	0.112653
"air base"	0.111806
headquarter	0.108896
Warehouse	0.108254
"command post"	0.108164
"apartment building"	0.107621
residence	0.105877
compound	0.105505
embassy	0.103553
"office building"	0.103432
mosque	0.102688
"oil refinery"	0.10165
village	0.101489
"power station"	0.101428
hotel	0.100469
camp	0.10012
factory	0.0990852
hangar	0.0988487
palace	0.0986073
checkpoint	0.0970907
"army base"	0.0965022
bunker	0.0957953
facility	0.0951179
complex	0.0933148
"U.S. Embassy"	0.0925966
hut	0.091455
airport	0.0894276
hospital	0.0883296
"military headquarters"	0.0872184
armory	0.0861322
farmhouse	0.0842381
prison	0.08416
synagogue	0.0840977
apartment	0.084067
"power plant"	0.0837042
cemetery	0.0829067
house	0.0828108
headquarters	0.0815597
shack	0.0813645
"railway station"	0.0811256
outpost	0.080986
airstrip	0.0802469
"military post"	0.0801253
"community center"	0.0795641
center	0.0793743
town	0.0791173
installation	0.0789571
"polling station"	0.0785086
hideout	0.078456
shelter	0.0780342
"parking lot"	0.0774978
"shopping center"	0.0774043
dorm	0.077372
cottage	0.0772694
office	0.0769843
stronghold	0.0766818
tent	0.0760977
garage	0.0759717
Villa	0.0753998
jail	0.0753767
church	0.0751287
bridge	0.075029
airbase	0.0747046
refinery	0.0746914
courthouse	0.0737458
schoolhouse	0.0736168
"bus station"	0.0730938
"post office"	0.0730545
mansion	0.073015
Tower	0.072996
terminal	0.0728135
Monastery	0.0727986
barn	0.0726266
classroom	0.0725017
chapel	0.072359
dock	0.0722074
clinic	0.0715651
dwelling	0.0715301
hostel	0.0712512
temple	0.0712452
"gas station"	0.0712275
"apartment house"	0.070841
stadium	0.0707176
"train station"	0.0706788
"railroad station"	0.0705698
hall	0.0704065
convoy	0.0702835
station	0.0701161
enclave	0.0698218
campus	0.069349
square	0.0692484
"mobile home"	0.0686067
park	0.0683384
motel	0.0676586
"police headquarters"	0.0675786
"city hall"	0.0674673
school	0.0672581
"air defense"	0.0672013
"fire station"	0.0670263
morgue	0.0665803
encampment	0.0659646
silo	0.0658449
cabin	0.065735
shop	0.0657139
"military hospital"	0.0655567
trailer	0.0654302
Castle	0.0654191
firehouse	0.0653773
Convent	0.0653429
"military position"	0.0652817
"living quarters"	0.0647831
"World Trade Center"	0.064516
tomb	0.0645146
consulate	0.0644489
monument	0.0640467
Fort	0.0639511
neighborhood	0.0637439
library	0.063224
fortress	0.0631934
storehouse	0.0625487
plaza	0.0624553
port	0.0623507
gym	0.0622925
"staging area"	0.062177
farm	0.0621393
laboratory	0.0619019
museum	0.0618547
room	0.0618341
bungalow	0.061826
street	0.0617518
dumps	0.0616393
cafe	0.0615649
"shopping mall"	0.0613687
restaurant	0.0613052
gymnasium	0.0612963
detachment	0.0612362
"military unit"	0.0610836
location	0.0608744
"military vehicle"	0.0607065
"conference center"	0.0605489
district	0.0604034
tank	0.0603757
lodge	0.0603483
lab	0.0602146
"Chinese Embassy"	0.0602094
high-rise	0.0600613
road	0.0598513
pier	0.0598272
Capitol	0.05979
Grozny	0.0594998
substation	0.0594668
auditorium	0.0593716
Pristina	0.0592408
mine	0.0591103
orphanage	0.0590728
sanctuary	0.0590451
tunnel	0.0588631
unit	0.0586935
shanty	0.0586443
patrol	0.0586329
"hotel room"	0.058615
"elementary school"	0.0585784
suburb	0.0585394
"bus stop"	0.0585271
"row house"	0.0584382
ranch	0.0584345
"vacant lot"	0.0582367
Cathedral	0.0582105
"place of worship"	0.0576532
command	0.057513
mall	0.0572836
Freetown	0.057279
troop	0.0572242
"manufacturing plant"	0.0566815
civilian	0.0565541
"oil pipeline"	0.0564169
Grave	0.0561771
structure	0.0561174
soldier	0.0560992
mill	0.0560828
"diplomatic mission"	0.0560737
highway	0.0555341
courtyard	0.0554309
cave	0.0553483
"exhibition hall"	0.0552547
roadblock	0.0551277
bus	0.0548785
commander	0.0547378
shrine	0.054729
storefront	0.0546595
"field hospital"	0.0546341
"movie theater"	0.0546333
"abortion clinic"	0.0546189
"telephone exchange"	0.0546065
))
(barrage (desc 33536.3) (sims
flurry	0.153233
fusillade	0.148323
onslaught	0.14256
bombardment	0.138034
deluge	0.129098
shelling	0.126038
volley	0.112257
torrent	0.111348
spate	0.110172
hail	0.105585
"artillery fire"	0.104567
attack	0.103991
assault	0.0970648
"air raid"	0.0960162
blast	0.0956296
salvo	0.0949247
"air attack"	0.0946671
raid	0.094037
blizzard	0.0919392
blitz	0.0918971
drumbeat	0.0918255
burst	0.0897102
flood	0.0894273
wave	0.08916
avalanche	0.0882378
explosion	0.0882023
offensive	0.0863379
outburst	0.0853197
gunfire	0.0839628
artillery	0.0817553
rash	0.0816412
airstrikes	0.081471
firestorm	0.0781273
stream	0.0771984
criticism	0.0768318
counterattack	0.0762988
downpour	0.0753739
bombing	0.0740823
"New Wave"	0.0732168
outpouring	0.0729617
"tidal wave"	0.0727674
blaze	0.0722547
glare	0.0718568
brunt	0.0715581
roar	0.0705367
string	0.0704554
firing	0.0698016
series	0.0693996
crackdown	0.0681531
spree	0.0677785
surge	0.0671227
frenzy	0.0663768
storm	0.0660012
"heat wave"	0.0657136
eruption	0.064573
spurt	0.064487
riot	0.063088
threat	0.0628688
bomb	0.0628554
incursion	0.0626831
"mortar fire"	0.0624787
gunbattle	0.0624455
rain	0.0621708
chorus	0.0613241
clash	0.061008
litany	0.060436
slew	0.060352
scrutiny	0.0601486
fighting	0.060127
skirmish	0.0598486
violence	0.0597046
blockade	0.0593623
punch	0.0592304
"bomb blast"	0.0591913
confrontation	0.0582324
"military campaign"	0.0576877
snowstorm	0.0574468
landslide	0.0571423
missile	0.0571005
walkout	0.0570701
rioting	0.0570422
"flash flood"	0.0569875
rocket	0.0569788
array	0.0568874
firefight	0.0567407
backlash	0.0567051
rampage	0.0566802
welter	0.0565761
"military action"	0.0564484
unrest	0.0563411
thud	0.0562859
mudslide	0.0561895
influx	0.056004
battering	0.0559854
projectile	0.0558226
condemnation	0.0557444
ambush	0.0556403
"chain reaction"	0.0554972
slump	0.0554507
pounding	0.0551562
"ground attack"	0.0551037
squall	0.0548888
tornado	0.0547916
Quake	0.0547214
"advertising campaign"	0.0546428
Collision	0.0544459
blackout	0.0544447
demonstration	0.0541655
duel	0.0540142
"standing ovation"	0.0539913
harassment	0.0536935
detonation	0.0535962
siege	0.0533985
outbreak	0.0533979
bullet	0.053314
temblor	0.0533037
reprisal	0.0533012
cacophony	0.0532716
purge	0.0532307
tremor	0.0531873
drought	0.0530743
controversy	0.0528315
selloff	0.0528202
shrapnel	0.0527599
escalation	0.052674
manhunt	0.0525713
accusation	0.0524882
airstrike	0.0523977
gunshot	0.052362
repetition	0.0523448
downturn	0.0521879
sell-off	0.0521494
whirlwind	0.0520995
orgy	0.0517038
invasion	0.0516298
questioning	0.0516018
tirade	0.0515257
"surprise attack"	0.051346
aggression	0.0512195
incident	0.0512167
Grenade	0.0511561
earthquake	0.0511191
rumor	0.0510691
dose	0.0510453
boo	0.0510215
"price war"	0.0509302
retaliation	0.0508521
fireball	0.0504761
stoppage	0.0504001
ridicule	0.0503665
fallout	0.050276
"marketing campaign"	0.0501977
outcry	0.0501869
binge	0.0498859
slugfest	0.0498517
mortar	0.049832
melee	0.0496631
meltdown	0.0494588
"work stoppage"	0.0494204
disclosure	0.0493275
impact	0.0492945
succession	0.0492638
upheaval	0.0491593
hailstorm	0.0491327
fury	0.0489924
warning	0.0489532
disaster	0.0489396
shooting	0.0489245
upsurge	0.0489141
sanction	0.0487242
gist	0.0486165
denunciation	0.048611
bloodshed	0.0484397
shower	0.0483517
massacre	0.0480192
wind	0.0479845
scare	0.047891
shortage	0.047844
beating	0.0478101
rejection	0.0477154
speculation	0.0476884
conflagration	0.0476607
wake	0.0476015
bloodbath	0.0475449
turmoil	0.0474836
ovation	0.0474542
chant	0.0474349
boom	0.0473941
catastrophe	0.047362
derision	0.0473398
turbulence	0.0473283
exodus	0.0472581
buildup	0.047173
advertisement	0.0471004
mishap	0.0470547
Proliferation	0.047043
insurgency	0.0469224
stampede	0.0469144
revelation	0.0468644
rhetoric	0.0468231
))
(Barrasso (desc 1052.45) (sims
Legace	0.271395
Thibault	0.247901
Salo	0.237327
Vanbiesbrouck	0.221251
Dunham	0.21815
Ranford	0.215433
Storr	0.205071
"Mikhail Shtalenkov"	0.200452
"Fred Brathwaite"	0.199531
"Guy Hebert"	0.198882
"Manny Fernandez"	0.194551
"Jocelyn Thibault"	0.193186
Brodeur	0.189837
Fiset	0.184643
"Sean Burke"	0.183471
Dafoe	0.183398
Hebert	0.181705
"Tommy Salo"	0.177555
"Tom Presthus"	0.177395
"Dan Cloutier"	0.175255
Kolzig	0.173412
Osgood	0.172783
Tallas	0.170961
"Manny Legace"	0.161747
Shields	0.156864
"Trevor Kidd"	0.156621
"Arturs Irbe"	0.155433
"Steve Shields"	0.151834
"Felix Potvin"	0.15011
"Kevin Hartman"	0.148878
Richter	0.14636
Potvin	0.144437
Khabibulin	0.143686
Fuhr	0.143171
"Mike Vernon"	0.141352
"Jamie Storr"	0.140782
"Martin Brodeur"	0.137305
"Roman Turek"	0.133032
Hasek	0.13227
"Tony Meola"	0.130915
Schmeichel	0.129307
"Mike Richter"	0.12871
"Byron Dafoe"	0.128546
"Norm Maracle"	0.128363
Vernon	0.125717
Theodore	0.125127
"John Vanbiesbrouck"	0.120748
Grahame	0.119124
"Stephane Fiset"	0.118902
"Zach Thornton"	0.118365
"Tom Barrasso"	0.116344
Stumpel	0.116152
"Rob Tallas"	0.114057
Niedermayer	0.113055
"Jorge Campos"	0.112801
"Brad Friedel"	0.112798
Turek	0.112772
"Chris Osgood"	0.112187
Kidd	0.11192
Norstrom	0.11149
Smolinski	0.107801
Andreychuk	0.106178
Sehorn	0.106042
"Damian Rhodes"	0.105754
"Dominik Hasek"	0.104891
"Bill Ranford"	0.104779
Waite	0.104639
Belfour	0.104552
"Olaf Kolzig"	0.103235
"Ron Tugnutt"	0.102164
"Patrick Roy"	0.102024
Laperriere	0.101798
Reichel	0.0996821
"Grant Fuhr"	0.0968877
Grbac	0.0963938
Roy	0.0945142
Laettner	0.0941414
"Nikolai Khabibulin"	0.0937582
"Steve Rucchin"	0.0934888
FitzPatrick	0.0933994
Lehtinen	0.0929578
Langenbrunner	0.0928869
Palffy	0.0913371
Duchesne	0.0895532
Daigle	0.0885743
Roussel	0.0884696
Gant	0.0877938
"John Grahame"	0.086864
"David Seaman"	0.0860068
Battie	0.0855715
Cassell	0.0854424
McSorley	0.0852277
"Curtis Joseph"	0.0851544
Dunston	0.085126
Lindros	0.0845825
Fedorov	0.0840517
"Ed Belfour"	0.0820897
Joseph	0.0812263
Lacroix	0.0798157
Selanne	0.0791938
Lassiter	0.0791299
Leetch	0.0789748
Audette	0.0788386
Dilfer	0.0781032
Weatherspoon	0.0779464
Forsberg	0.0778915
Hollins	0.0765895
Primeau	0.0764449
Tverdovsky	0.0755326
Hirsch	0.0752784
Jonsson	0.0751338
"Michael Booker"	0.0751051
Renteria	0.0748417
Kariya	0.0747756
Gugliotta	0.0747702
LeClair	0.07454
Obilic	0.0743876
Taffarel	0.0737487
AEK	0.0728368
Recchi	0.0726923
"Scotty Bowman"	0.0726537
Asprilla	0.072632
Nedved	0.0725334
Candiotti	0.0725259
"Peter Schmeichel"	0.072427
Lue	0.0723232
Sundin	0.0718713
Kamensky	0.0714711
Berard	0.0713158
Cirillo	0.0713111
leeson	0.0712577
"Briana Scurry"	0.0711345
"Ray Bourque"	0.0710213
Newsome	0.0702845
Collymore	0.0701526
Isringhausen	0.0699843
Velarde	0.0699685
Sykora	0.0696156
Gaither	0.0695886
Lett	0.0694038
Ince	0.0691916
patrolmen	0.0691266
cn	0.068941
Counsell	0.0687658
Starzz	0.0685856
Lafleur	0.0682542
Prinosil	0.0682365
"Eric Murdock"	0.0681749
Pulsipher	0.0680086
"Vitaly Potapenko"	0.0678133
Campos	0.0678065
Tatis	0.0677575
Tkachuk	0.0677308
DeShields	0.0673843
Baerga	0.0670754
Liston	0.0667167
"Walter Zenga"	0.0666574
Bure	0.0666171
Samuelsson	0.0665695
Eldred	0.0662423
"Ziggy Palffy"	0.06607
Tarango	0.0660412
Hejduk	0.0659478
Brogna	0.0657097
Fleury	0.0651288
Tomko	0.0647115
Chmura	0.0643064
Roenick	0.0643052
Appier	0.0640487
Bateman	0.0640182
Shoate	0.0638626
"Drazen Ladic"	0.0636001
"Van Exel"	0.063457
Kluivert	0.0632992
"two pitchers"	0.0631061
Larsson	0.0630344
"three pitchers"	0.0629788
Holik	0.0629525
Nicol	0.0628881
Healy	0.0627499
one-timer	0.0620343
"Up to @.@@ Percent"	0.0618449
Radojevic	0.061842
Spielman	0.0616758
Vina	0.0613105
Yarnall	0.0609306
Mashburn	0.0606855
Kenna	0.0606355
Santoro	0.0604161
"Van Roost"	0.0603529
Hilliard	0.060215
Kovalev	0.0601979
Zubov	0.0601711
McLean	0.0601439
Clement	0.0599835
"Cliff Ronning"	0.0599777
Abdur-Rahim	0.0599576
Ripken	0.0599275
"ZIGMUND PALFFY"	0.059641
Kuchar	0.0595973
))
(barrel (desc 50031.8) (sims
bpd	0.220718
tonne	0.128498
ton	0.127169
kg	0.113997
"five percent"	0.109718
"one percent"	0.104025
"three percent"	0.10215
"eight percent"	0.10181
"about @ percent"	0.101588
"four percent"	0.101046
gallon	0.0996782
"barrels per day"	0.0966813
"two percent"	0.095769
container	0.0943563
"six percent"	0.0939993
"about @.@ percent"	0.0917212
"seven percent"	0.0905333
cask	0.090429
"about @@ percent"	0.0893884
"percentage point"	0.0893276
bale	0.0890951
dollar	0.0867861
kWh	0.0861651
bottle	0.0846189
"one million tons"	0.084614
liter	0.0842547
"crude oil"	0.0831055
"more than @@ million tons"	0.0826028
"nine percent"	0.0814412
crude	0.0795455
bucket	0.078219
bag	0.07779
Kilogram	0.0773473
"oil production"	0.0757437
oil	0.0755444
"two million tons"	0.0748229
"about @@@,@@@ tons"	0.0731399
"One Million"	0.0724872
"nearly @@"	0.0722598
jug	0.0721325
"almost @@"	0.0714921
"cubic meter"	0.0694922
crate	0.069363
ounce	0.0691444
tank	0.068934
"basis point"	0.0681582
"over @@@,@@@ tons"	0.0680837
jar	0.0673696
output	0.0669895
percent	0.0667296
U.S.dollars	0.0664251
Pound	0.0663682
"one billion dollars"	0.0663091
"about $@@"	0.0662101
price	0.0661659
"U.S. Dollars"	0.0651143
"about $@@@ million"	0.0650594
cu.m	0.0650251
"ten percent"	0.0647793
box	0.0647121
VAT	0.0642975
vehicle	0.0640886
amount	0.0637414
worth	0.0635174
year-on-year	0.0633519
"more than @@,@@@ tons"	0.0629353
import	0.0627022
"about @.@ billion dollars"	0.0622755
"about $@"	0.0618562
"about @@,@@@"	0.0617822
pataca	0.0617249
"more than @"	0.0615572
export	0.0615511
ruble	0.0612957
"natural gas"	0.0611396
production	0.0611311
m.	0.0610362
car	0.060614
pallet	0.060576
"lower than"	0.0604507
"about $@@ million"	0.0603392
"more than @@@,@@@ tons"	0.0601934
cent	0.0600084
billion	0.0597819
"about $@@@"	0.0597778
feet	0.0596921
euros	0.0596297
trunk	0.0593986
average	0.0591641
suitcase	0.0591484
canister	0.0585631
"about $@ billion"	0.0585154
shekel	0.0583993
quantity	0.0583552
"about $@@ billion"	0.0581249
pipe	0.0580768
cylinder	0.0576537
bushel	0.0576406
shipment	0.0574965
truck	0.0574623
one-third	0.0571769
ringgit	0.0570817
goods	0.0570722
gas	0.0569967
"less than @"	0.0569393
pot	0.0569164
drum	0.0567276
"Organization of Petroleum Exporting Countries"	0.0563492
"about @@@,@@@"	0.0562866
"About @,@@@"	0.0560586
volume	0.0560453
mw	0.0555433
supply	0.0553751
tire	0.0552271
spindle	0.0549086
"one billion yuan"	0.0548038
grain	0.0543616
ha	0.0542718
sale	0.054135
quota	0.0537981
"about $@,@@@"	0.0537633
birr	0.0537578
"more than @@"	0.0537273
refrigerator	0.0537007
metal	0.0536133
"over @@"	0.0535671
"about @.@ million"	0.053536
product	0.0531475
m	0.0530337
glass	0.0530329
"one third"	0.0529842
dlrs	0.0528813
"two million"	0.0526456
carton	0.0525456
"about $@.@ billion"	0.0524875
sack	0.0524379
gasoline	0.0522877
pellet	0.0522386
piece	0.0521964
rod	0.0520477
"growth rate"	0.0520221
"about @@@ million dollars"	0.052021
kilometer	0.0519057
tanker	0.0518441
tray	0.0517397
consumption	0.0515383
fuel	0.0514364
log	0.0511986
sq.m	0.0510431
Shell	0.051029
"more than @@@ points"	0.0509941
Tin	0.0507615
revenue	0.0507151
hryvna	0.0505256
inventory	0.0505216
"less than @@"	0.0504908
item	0.050269
basket	0.0502601
"nearly @"	0.0501122
"record level"	0.0499015
GDP	0.0498767
vial	0.0498147
tube	0.0497142
Bin	0.0497098
steel	0.0494077
automobile	0.0494063
pail	0.0491964
timber	0.0491152
waste	0.0490405
"storage tank"	0.0490327
"tv set"	0.0490225
"nearly $@ billion"	0.0489337
commodity	0.0485818
dose	0.048529
reserve	0.0484743
profit	0.0484271
"trash can"	0.0483475
"inflation rate"	0.0483295
wheat	0.0483179
brick	0.04821
coffin	0.0481811
"palm oil"	0.04815
wood	0.0481454
zero	0.048081
"more than @@@,@@@"	0.0480706
"about @@@"	0.0480532
furniture	0.0479758
stockpile	0.0479649
million	0.0478205
vegetable	0.0477991
gun	0.0477397
"one dollar"	0.0477051
growth	0.0475627
two-thirds	0.0475537
"raw material"	0.0473888
food	0.0473601
cartridge	0.0472803
tile	0.0472753
cooler	0.0472278
earnings	0.0472184
))
("barrels per day" (desc 2576.93) (sims
bpd	0.277185
"production ceiling"	0.122368
"over @@ million tons"	0.104163
"one billion US dollars"	0.102849
"about @@ million tons"	0.100567
barrel	0.0966813
"oil production"	0.0926353
"more than @@ million tons"	0.0910174
mw	0.0873072
"one billion dollars"	0.08622
"three million tons"	0.0860714
"four million tons"	0.0853308
"up to @@.@ percent"	0.0788329
tonne	0.0786816
"about three percent"	0.0753278
"four percent"	0.0741859
"five percent"	0.0741128
"five million tons"	0.0737226
GNP	0.0708621
"six million tons"	0.0706025
year-on-year	0.0700972
pumping	0.0672018
"about @@@,@@@ tons"	0.0664281
"about @.@ billion US dollars"	0.0662508
"two million tons"	0.0658839
"eight percent"	0.0655515
"six percent"	0.0655227
"poverty line"	0.0638579
FTAA	0.0638418
"Free Trade Area"	0.0634984
"up to @.@ percent"	0.063497
"about one percent"	0.0626714
"production capacity"	0.0626192
"about @@ million dollars"	0.062257
"about @.@ percent"	0.0614372
"gross domestic product"	0.0606437
"About @@.@ percent"	0.059854
"more than @@@,@@@ tons"	0.0594513
cu.m	0.0593852
"one million tons"	0.0591934
"more than @@@ million dollars"	0.0590275
"about @.@ million tons"	0.0583587
"Monetary Policy Committee"	0.057693
"one percent"	0.057203
"ASEAN Free Trade Area"	0.0571024
"More than one-third"	0.0551978
"seven percent"	0.0551449
"customs union"	0.0548988
"bank rate"	0.0548085
"Rolls-Royce Motor Cars"	0.0536871
"bankruptcy protection"	0.053585
"Secretary General Boutros Boutros-Ghali"	0.0534768
"three percent"	0.0534751
ridership	0.0533467
"Over @@@ Million Dollars"	0.0533276
"British government"	0.0532453
"million tons"	0.0526343
pullbacks	0.0521536
"United Republic of Tanzania"	0.0520456
"trade surplus"	0.0518354
"about @@.@ million dollars"	0.0516326
percent	0.0516148
"value added tax"	0.0514166
AFTA	0.0513679
"more than @ million tons"	0.0505912
"Bank of Canada"	0.0505021
"Organization of Petroleum Exporting Countries"	0.05029
"intellectual property rights"	0.049988
"more than @.@ billion dollars"	0.0498655
poliomyelitis	0.0496857
"Badminton Association of Indonesia"	0.0490455
"about @@@ million dollars"	0.0490078
self-sufficiency	0.0486782
"about @.@@ billion dollars"	0.0481448
"more than @@@ million tons"	0.0480469
extraction	0.0478482
"about @.@ million"	0.0476357
"two percent"	0.0475358
"Disabilities Act"	0.0474414
drop-off	0.0474289
"retail sale"	0.0471327
added-value	0.0471169
"more than @ billion dollars"	0.0471094
"Sub-Saharan Africa"	0.0470025
"consumer price index"	0.046679
"another @.@ percent"	0.0464867
"Balanced Budget Act"	0.0463575
Zyvox	0.0463037
outflow	0.0462935
"START II"	0.0462884
SOEs	0.0461984
"living space"	0.0460164
"less than one percent"	0.0457046
"Bank Indonesia"	0.0455492
"Islamic Conference"	0.0455453
"Panama Canal"	0.0454497
"about @@,@@@ tons"	0.0454159
"one ton"	0.0452368
sq.m	0.0452312
"over @@,@@@ tons"	0.044889
"money supply"	0.0447866
"fuel oil"	0.0447261
"Philippine Central Bank"	0.0446173
"Secretary General Esmat Abdel-Meguid"	0.0445684
"export sale"	0.044524
"three million yuan"	0.0444012
"about @ billion dollars"	0.0443864
slackening	0.0440145
"Macao International Airport"	0.0439507
"about @.@ million dollars"	0.0439243
"steel production"	0.0438872
"national income"	0.0436184
"about $@@.@ million"	0.0436124
U.S.dollars	0.0434541
"tax income"	0.0434315
NCEC	0.0433639
"almost $@@@ million"	0.0433475
"United National Party"	0.0432644
ILGO	0.043085
"Reserve Bank of Australia"	0.0429915
"National Sports Council"	0.0426601
liter	0.0425563
guidepost	0.0425395
shipload	0.0422735
"two pitchers"	0.0421837
non-oil	0.0420448
"a few thousand dollars"	0.0420275
"more than @@ million dollars"	0.0420165
"net profit"	0.0419224
oversupply	0.0419216
"more than @@ million"	0.0419169
"nine percent"	0.0419153
around-the-clock	0.0418801
Herzegovina	0.0416024
"vehicle sale"	0.0414242
"six billion yuan"	0.0412668
spindle	0.041205
pick-up	0.0411781
"tax collection"	0.0410548
Sarid	0.0410512
"one million dollars"	0.0409961
"bus fare"	0.0408453
"work stoppage"	0.0408246
"foreign officials"	0.0408232
Mercosur	0.0406877
"about $@.@ million"	0.0406217
"Taiwan Straits"	0.0405299
Banharn	0.0405238
polio	0.0405103
"another @"	0.040182
"marketing cost"	0.0401163
))
(barren (desc 1755.42) (sims
fallow	0.101525
BRITTLE	0.0842436
bough	0.0615464
accepting	0.056284
"gefilte fish"	0.0554194
sapling	0.050391
market-oriented	0.0496223
widget	0.0483558
"belly dancer"	0.0474444
subsidence	0.0460197
user-friendly	0.0456719
coca	0.0450208
Americanized	0.0447762
pinup	0.0444724
stout	0.0442355
"Arabian Peninsula"	0.0438688
expedient	0.0433038
"pie crust"	0.0430933
vaulter	0.0421221
"Sdn Bhd"	0.0413556
"hot potato"	0.0413345
"indian reservation"	0.0412371
seashore	0.0411508
redoubt	0.0410692
"electrical engineer"	0.0410213
"Asia-Pacific Region"	0.0404801
proactive	0.0402737
"Rocky Mountains"	0.0400387
))
(Barrett (desc 8057.25) (sims
Waxman	0.139308
COYNE	0.131036
Doggett	0.127154
Moakley	0.121885
Larson	0.118254
Gilman	0.115887
Napolitano	0.114357
McInnis	0.11138
Cleary	0.106294
Northup	0.105775
Arbour	0.105651
Nadler	0.105259
Metcalf	0.104485
Levin	0.103366
Rosenberg	0.102998
Capps	0.101976
Berman	0.101692
McIntyre	0.101548
Shriver	0.101314
Davies	0.100745
Houghton	0.0996835
Patten	0.0973164
Condit	0.0968537
Moran	0.0967811
Deutsch	0.0961593
Chenoweth	0.095126
Canady	0.0938385
Lowey	0.0922746
Soto	0.0921466
McLaughlin	0.0920402
Meeks	0.0919246
Phelps	0.091804
Engel	0.0911915
Rosenthal	0.0910216
Meissner	0.0910112
Friedman	0.0904125
Chabot	0.0903787
Hagen	0.0903597
Hobson	0.0900099
Webb	0.0895583
Hanley	0.0894132
Doyle	0.0890973
Berenson	0.0890285
Jenkins	0.0889441
Meehan	0.0888122
Weldon	0.0887422
Shapiro	0.0877452
Copeland	0.0867084
Goldstein	0.0866081
Weiner	0.0864574
Finkel	0.0863247
Callahan	0.0860711
Hickman	0.0857625
Donohue	0.0856723
Dixon	0.0855479
Bliley	0.085485
Ramirez	0.0853779
Schwartz	0.085222
Keenan	0.0850221
McDermott	0.0844312
Delahunt	0.0844093
Greenwald	0.0842785
Hayworth	0.0839431
Gutman	0.0838534
Danner	0.0837694
Bartlett	0.0836494
Evans	0.0832191
Sweeney	0.0828696
Neumann	0.0827978
Reyes	0.0827765
Cummings	0.0824904
Quinn	0.082309
McHugh	0.0821354
Weil	0.0821032
Gibbons	0.081556
Hess	0.0815197
Goode	0.0812629
Hastings	0.0811975
Isakson	0.0811524
singleton	0.0811174
Markey	0.0810397
HELLER	0.0809484
Menendez	0.080868
McGovern	0.0807468
Gutierrez	0.0805379
Stahl	0.0804449
Kelly	0.0803577
Pelosi	0.0803259
O'Connell	0.0800336
McNulty	0.0799629
Fitzgerald	0.0798915
Moreno	0.0798392
Byrd	0.079689
Johnston	0.0795999
Ferguson	0.0795582
"De Klerk"	0.0793462
Rodriguez	0.0792983
Grossman	0.0792816
Inkster	0.0792415
Tarawneh	0.0792306
Royce	0.0790256
Wolff	0.0785585
Reilly	0.0784956
Fiorina	0.0783607
McCartney	0.0783018
Markovic	0.0781979
Mueller	0.078055
Flores	0.0780416
Watkins	0.0777601
Butterworth	0.0776382
Goldberg	0.077602
Podesta	0.0775998
Diaz	0.0772163
Vogel	0.0771949
Daniels	0.0771019
Dowd	0.0769987
Merritt	0.0769404
Silverman	0.0768637
Hersh	0.076842
Browne	0.076774
PITTS	0.0766937
Mullen	0.0764815
Schaffer	0.0764488
Nolan	0.0762061
Clarke	0.0761424
Jaffe	0.0761203
Caddell	0.0760346
Gonzales	0.0759342
fuller	0.0759002
Lockyer	0.0758898
Pollack	0.0758538
Dingell	0.0757914
Shepard	0.0757717
Hybl	0.0755804
Rogan	0.0755055
Kolbe	0.0753253
Wolfe	0.0752985
Baum	0.0752515
Boehner	0.0752425
Wolfson	0.0751958
Holmes	0.0751434
Sanchez	0.0751083
Hardy	0.0748836
Lerner	0.0748353
Garza	0.0747747
Sharma	0.0746768
Cheever	0.0745408
Bonilla	0.0744987
Henley	0.0744964
Ferraro	0.0744107
Lowry	0.0744032
Cao	0.0743942
Crawford	0.0743109
Wiggins	0.074294
Webdale	0.0742528
Hatfield	0.0741685
Farber	0.0741313
Lopez	0.0740694
Kagalovsky	0.07399
Healy	0.0739453
Jacobs	0.0739385
Peterson	0.0737726
Adkins	0.0737383
Egan	0.0736797
Cohen	0.0736711
SHUSTER	0.0735747
Jones	0.0734778
Pirro	0.0734535
Greer	0.073421
Danforth	0.0733155
Linder	0.0733082
Hawke	0.0732873
Dooley	0.0732625
Portman	0.0731345
Grimes	0.0731271
Kissinger	0.0731019
Hinckley	0.0729953
Rutherford	0.0729788
McKeon	0.0729669
Thompson	0.0729663
Molinari	0.0729656
Dorismond	0.0728903
Lessig	0.0727478
Shipley	0.0727115
Coburn	0.0726657
Silverstein	0.0724974
Brenner	0.0724486
Huber	0.0724472
Simons	0.0723015
Brawley	0.0722656
Dempsey	0.0722115
Duffy	0.0720283
McCullough	0.0720278
Powell	0.0719141
Costello	0.0719073
Ashrawi	0.0718919
Bateman	0.0717666
McCollum	0.0717073
Romer	0.0717073
Burton	0.0716488
))
(barrette (desc 1609.24) (sims
"evening bag"	0.178886
brooch	0.158745
choker	0.140375
tiara	0.118556
"pants suit"	0.103132
G-string	0.10253
earring	0.100836
smock	0.0992068
"feather boa"	0.0968763
"picture frame"	0.0959762
camisole	0.0955996
bracelet	0.0947267
amulet	0.0916969
overcoat	0.0896921
"hot pants"	0.088866
mascara	0.0868388
earpiece	0.084979
beads	0.0848664
earplugs	0.0839808
"neck brace"	0.0835216
"fountain pen"	0.0819053
pantsuit	0.080165
vestment	0.079971
necklace	0.079925
bellbottoms	0.0798317
shawl	0.0795664
Poncho	0.0754804
sarong	0.0754761
applique	0.0730656
pantyhose	0.0729921
ornament	0.0725478
"dress shirt"	0.0725242
"grocery bag"	0.0723698
tux	0.0714277
medallion	0.0704463
wristband	0.0700643
underpants	0.0696397
wastebasket	0.0681402
"ballpoint pen"	0.0665742
sandal	0.0665495
elastic	0.0662863
coverall	0.0662814
bustier	0.065121
embellishment	0.064897
headdress	0.0647684
"life vest"	0.064447
slipper	0.0643933
stapler	0.0642491
stiletto	0.0641359
"nail polish"	0.0641163
urinal	0.0639162
armband	0.0638556
Bonnet	0.0632822
pullover	0.0631688
moccasin	0.0627155
bib	0.0626159
headgear	0.0625756
"tennis shoe"	0.0620537
raincoat	0.0612305
headband	0.061017
"extension cord"	0.0606828
caftan	0.0605435
turban	0.0598663
"bathing suit"	0.0598016
embroidery	0.0597657
knickknacks	0.0596502
brassiere	0.059069
parka	0.058605
jewellery	0.0585997
spud	0.0582308
corduroy	0.0580264
tuxedo	0.0579271
hosiery	0.0578048
"contact lense"	0.0577491
Matchbox	0.0572842
"coffee mug"	0.0568855
"fur coat"	0.0567418
shamrock	0.0565169
undershirt	0.0563738
hairpiece	0.0562368
"hard hat"	0.0560755
"mink coat"	0.0560591
Igloo	0.0560562
"water jug"	0.0560406
"wedding ring"	0.0559269
"sports jacket"	0.0555882
"piece of cloth"	0.0554777
"place mat"	0.0552599
handbag	0.0550468
colorist	0.054665
rhinestone	0.054325
braid	0.0541685
suspender	0.0540751
tunic	0.0540609
"evening gown"	0.0539249
"prayer shawl"	0.0538457
Sash	0.0536076
"beach ball"	0.0534119
"evening dress"	0.0533378
bra	0.0530258
necktie	0.0530244
gizzard	0.0528283
wattle	0.0525752
halter	0.052572
"rubber band"	0.0520567
loincloth	0.051781
eyeshadow	0.0517176
filament	0.0514482
eyeliner	0.0513048
toupee	0.0510234
microcomputer	0.0508786
"sweat pants"	0.0507806
hairstyle	0.0507792
"sport shirt"	0.0507362
spacesuit	0.0506645
"wedding gown"	0.050595
"ball gown"	0.0505367
"shower curtain"	0.050398
prosthesis	0.0501841
toothpaste	0.0500825
curler	0.0497616
Pantsuits	0.0494244
beret	0.0492806
eyeglass	0.0491561
bodysuit	0.0491091
"Easter egg"	0.0491059
nightgown	0.048946
duds	0.0487725
"shopping bag"	0.0487424
miniskirt	0.0483622
"lounge chair"	0.0483443
"body armor"	0.0482522
cardigan	0.0480454
mitten	0.0478181
flopping	0.047801
"slip of paper"	0.0477198
hand-me-down	0.0476739
slipcover	0.0475224
"shock absorber"	0.0474848
tarpaulin	0.0474491
"boxing glove"	0.0474014
pillowcase	0.0472748
handkerchief	0.0472077
adornment	0.0471356
Sari	0.0467237
stocking	0.0466294
porthole	0.0466203
bikini	0.0465585
hairdo	0.0465331
"belt buckle"	0.0464108
bodice	0.0463767
chaise	0.0462804
"slide rule"	0.0462737
scissors	0.0461162
Thong	0.046095
sheath	0.045977
"business suit"	0.0459609
capris	0.0457833
"top hat"	0.0455571
kilt	0.0455508
ex-convicts	0.045191
moisturizer	0.0450916
"bow tie"	0.0449888
sequin	0.0448514
"felt hat"	0.0446076
panty	0.0445699
corset	0.0445288
tablecloth	0.0445141
"packing material"	0.0443844
bedspread	0.0442924
"rubber boot"	0.044288
"church bell"	0.0442379
contraption	0.0442061
visor	0.0440253
"bathroom fixture"	0.0438907
satin	0.0438869
prong	0.0438642
waistcoat	0.0438488
bolero	0.0437547
"wrapping paper"	0.0436973
eraser	0.0436677
Lei	0.0436528
"ski mask"	0.0435032
pajama	0.0434959
pouch	0.0433932
loafer	0.0433121
Propecia	0.0432814
"wedding dress"	0.0432259
barbell	0.0431467
snout	0.0431369
"bowler hat"	0.0430505
pompadour	0.0430473
"coloring book"	0.04301
wainscoting	0.042944
"guardian angel"	0.0427465
cladding	0.0423218
goggles	0.0423114
"stiletto heel"	0.0422498
fedora	0.0422107
"cowboy hat"	0.0421888
))
(barricade (desc 20232.4) (sims
roadblock	0.153713
cordon	0.147969
barrier	0.135542
fence	0.134679
checkpoint	0.123546
"barbed wire"	0.105217
gate	0.0939202
sandbag	0.0934433
wall	0.0850118
blockade	0.084971
crosse	0.0809307
fencing	0.0783601
scaffolding	0.0770812
fortification	0.0767364
railing	0.075237
billboard	0.0747617
pylon	0.0726651
tent	0.0722928
"traffic jam"	0.0701891
bunker	0.0701014
"command post"	0.0689954
picket	0.067925
divider	0.0678985
detector	0.0662881
tree	0.0661365
tarpaulin	0.0661241
coil	0.0652616
moat	0.0649368
"trade barrier"	0.0647596
"trash can"	0.0646433
berm	0.0638526
rope	0.0635402
guardrail	0.0634085
walkway	0.0628661
"picket line"	0.0627331
shack	0.0626336
"observation post"	0.0625317
booth	0.0621244
stanchion	0.0620468
marker	0.0616294
hut	0.0615453
shanty	0.0614807
"fire wall"	0.0612913
debris	0.0605806
intersection	0.0602851
patrol	0.0597274
bridge	0.059406
dike	0.0590317
Tower	0.0590253
"Berlin Wall"	0.0587903
demonstrator	0.0585501
trench	0.0583159
shield	0.0583029
lean-to	0.0575301
rail	0.0568394
"folding chair"	0.0568347
placard	0.0565742
cofferdam	0.0564406
firewall	0.0562152
"police station"	0.0558692
sentry	0.0558098
flagpole	0.0556971
tank	0.0553661
protester	0.0553637
"power line"	0.0552883
pole	0.0551564
outpost	0.0550787
sarcophagus	0.0544627
cage	0.0544237
trestle	0.0538931
"iron curtain"	0.0533266
slab	0.0532987
wire	0.0531988
"stone wall"	0.0531042
sidewalk	0.0530407
plaque	0.0528666
truck	0.0526638
lectern	0.0522602
watchtower	0.0521698
vigil	0.0520903
"parking lot"	0.0518444
plaza	0.0515899
"red light"	0.0513341
sit-in	0.0511995
mesh	0.0511334
"polling place"	0.0509764
"security force"	0.0509441
"mobile home"	0.0509191
Boulder	0.0507619
"telephone pole"	0.050591
tarp	0.0504209
"traffic light"	0.0503815
obstacle	0.0502351
banner	0.0501162
"polling booth"	0.0500424
overpass	0.0497913
partition	0.0497376
bleachers	0.0496923
arch	0.0496545
encampment	0.0495955
statue	0.0494849
"polling station"	0.0494732
mailbox	0.0494482
convoy	0.0493706
pedestrian	0.0491735
"police car"	0.0490175
coffin	0.0489142
Garbage	0.0488643
policemen	0.0487306
embankment	0.0486972
cot	0.0483205
trailer	0.0482304
rioter	0.0482033
stalls	0.0480219
streetlight	0.0479908
skyscraper	0.0479765
pothole	0.0477391
rod	0.0475604
lamppost	0.047327
"toll plaza"	0.0472563
dam	0.0471991
archway	0.0471544
microphone	0.0471441
jetty	0.0471362
altar	0.0470026
rack	0.0469591
monument	0.046924
fortress	0.0467597
"military post"	0.0467497
"land mine"	0.0465903
congestion	0.0465097
roof	0.04631
scaffold	0.0462831
high-rise	0.0461307
kiosk	0.0459394
bulkhead	0.0457994
"water cannon"	0.0456357
curtain	0.0456107
rampart	0.045412
netting	0.0453604
storefront	0.0449378
bonfire	0.0448785
depot	0.0448775
canister	0.0448264
"garbage can"	0.0448087
rubble	0.0446746
barrack	0.0445853
pipe	0.044561
hurdle	0.0444782
shutter	0.0443244
wheel	0.0442581
"police officer"	0.0441019
"gasoline bomb"	0.0440845
wreckage	0.044035
shrine	0.0440142
brick	0.0440122
tunnel	0.043975
entrance	0.0438507
Crane	0.0438215
"military position"	0.0438113
"explosive device"	0.0437907
Warehouse	0.0437298
turnstile	0.0436512
tube	0.0436225
stoplight	0.0435478
podium	0.0434894
Mound	0.0433948
memorial	0.0432364
firewalls	0.0432178
"gas station"	0.0432067
parking	0.0430914
"speed limit"	0.0430824
Canopy	0.042936
awning	0.0428886
mosque	0.0428676
underbrush	0.0428439
dormitory	0.0427157
"tractor trailer"	0.0426585
poster	0.0425511
"beer can"	0.0425354
campsite	0.0425238
"security measures"	0.0423695
minefield	0.0421794
garage	0.0421693
crossing	0.0421356
underpass	0.0420384
roadway	0.0419364
membrane	0.0417758
culvert	0.0417338
wreath	0.0416159
footbridge	0.0416103
stool	0.0415297
piles	0.0414883
detachment	0.0414354
"front door"	0.0413817
girder	0.0413339
tractor	0.0411975
easel	0.0410936
"high water"	0.0410058
"security guard"	0.0409306
))
(Barrie (desc 1142.01) (sims
Hendrickson	0.153506
Andreychuk	0.148209
LeClair	0.144349
Lafleur	0.140947
Gorter	0.140282
Lowery	0.130642
Piot	0.122638
Mendez	0.122055
Reichel	0.120949
Laperriere	0.120352
Sorensen	0.111647
Hoch	0.110615
Audette	0.110355
Baerga	0.109257
Siazon	0.108647
Lowry	0.108643
Laudrup	0.10858
Fedorov	0.108285
Lipponen	0.107213
Hecht	0.107069
Rahman	0.106101
Plante	0.104521
Tocchet	0.104394
Phieu	0.104257
Stinnett	0.103546
Lacroix	0.10281
Sydor	0.102231
Sherrill	0.101657
Peterborough	0.1014
Nedved	0.101331
Stumpel	0.101164
Indyk	0.101148
Norstrom	0.100934
"Vladimir Tsyplakov"	0.100829
Azizah	0.100294
Palffy	0.100024
Bratton	0.0996884
Paxon	0.0988466
Reimer	0.0986839
Ruehe	0.0986528
Niedermayer	0.0986121
Klima	0.0981951
Cienfuegos	0.0978222
Hauser	0.0978194
Woolley	0.0975956
Langenbrunner	0.0973523
Guterres	0.09727
Bierhoff	0.0965492
Baugh	0.0962777
Ftorek	0.0959413
Donohue	0.0957811
Neff	0.0957545
Bullard	0.0954673
Alderson	0.0946664
Velayati	0.0945902
Daft	0.0944277
Marulanda	0.09427
Jarrell	0.094152
Singson	0.0936455
Holik	0.093513
Verbeek	0.0932607
McWilliams	0.0928277
Zubov	0.0928119
Flanagan	0.092467
Tverdovsky	0.0920962
Mcbride	0.0915291
Smolinski	0.0914013
Legace	0.0913913
Croshere	0.091231
McInnis	0.0906156
Skiles	0.0902375
Milbury	0.0901554
Conte	0.0897983
Sim	0.0896997
Beazley	0.0896352
Gillom	0.0888343
Stoyanov	0.0885737
Schuessel	0.088411
Kumar	0.0877011
Heinrichs	0.0876986
Moreno	0.0875837
Ochoa	0.0875657
Ackerman	0.0875144
Fiorina	0.0873726
Insulza	0.0873645
Strauss-Kahn	0.0872895
ISSEL	0.0872401
Marineau	0.0871912
Valenti	0.0871575
Kono	0.0871158
Kovalev	0.0869668
Troussier	0.0864646
Zucker	0.0863725
Alarcon	0.0861251
Trepagnier	0.0859762
Jovanovic	0.0858714
Romar	0.0858537
Romanowski	0.0857709
Polynice	0.085758
Rasmussen	0.0856488
Rucchin	0.0855862
Roberson	0.0854641
Feuer	0.0852423
Zambrano	0.0846858
Kyprianou	0.0846612
Kuehne	0.0845817
Rongen	0.0844333
Nesby	0.0844295
Carbonneau	0.084262
Arnott	0.0840661
Stoneman	0.0838247
Passarella	0.0837023
McCabe	0.0836891
"Joe-Max Moore"	0.0835858
Markovic	0.0834005
Ikeda	0.0833937
Monahan	0.0833463
Cowan	0.0830975
Inman	0.0829065
Sheehan	0.0828658
Redd	0.0828587
Kalejs	0.0825378
Bergkamp	0.0824388
Walkerton	0.0823834
Solis	0.0823773
Figgis	0.0822752
Winn	0.0822528
Wolfson	0.0822161
"de Charette"	0.0821887
Laettner	0.0821526
Cline	0.0818795
Tran	0.0815034
Diouf	0.0813738
Smyers	0.0811749
Stillman	0.0805391
Murrell	0.0804917
Marinovich	0.0804162
Gleason	0.0802478
Selanne	0.0801747
Erving	0.0800408
Braswell	0.0799403
Sather	0.0799377
Artest	0.0799062
Advani	0.0797445
Peca	0.0796583
Geiger	0.0794147
Constantinescu	0.0793789
Solich	0.0792972
Stoudamire	0.0792746
Wagoner	0.0792086
Najera	0.0791392
Granic	0.0791182
Wilhelm	0.0790248
Duchesne	0.0789205
Vance	0.0787838
Schmid	0.0786996
Parris	0.0786323
Monson	0.0786004
Benedetti	0.0785943
Gossage	0.0785675
Milutinovic	0.0785623
Sykora	0.0784723
Lemieux	0.0783891
Barros	0.078264
Rossotti	0.0780952
Demaci	0.0780525
Ricci	0.0780206
Imperatori	0.0779673
Meguid	0.0778872
Ortega	0.0778671
Goossen	0.0777625
Alatas	0.0776136
Devine	0.0774558
Cowher	0.0774317
Morse	0.0773889
Gullit	0.0773625
Giambi	0.0773134
Akayev	0.0772982
Nzo	0.0772741
Briere	0.0772536
Blackthorne	0.0772445
Winkler	0.0772212
Ebbers	0.0771931
Godfrey	0.0771455
Fizer	0.0771205
Matthaeus	0.077066
Windsor	0.077025
Harmoko	0.07693
Virenque	0.0769095
Lessig	0.0768892
Cota	0.0768208
Aventajado	0.076696
Herron	0.0766211
Stephenson	0.0766159
Barshefsky	0.0766036
Murayama	0.0765511
Rodionov	0.0763906
Prewitt	0.0763525
Klinsmann	0.076198
McKenna	0.0760989
))
(barrier (desc 74569.4) (sims
obstacle	0.183992
"trade barrier"	0.164616
impediment	0.150649
barricade	0.135542
roadblock	0.122134
hurdle	0.119648
wall	0.110373
fence	0.104423
restriction	0.0990367
tariff	0.0982915
hindrance	0.094836
constraint	0.0942789
"stumbling block"	0.0894488
bottleneck	0.0828021
gate	0.0821044
Limitation	0.081723
limit	0.0811034
problem	0.0793485
boundary	0.0778336
checkpoint	0.0755731
taboo	0.0736728
divider	0.0732135
factor	0.0731845
requirement	0.0727924
difficulty	0.0725059
structure	0.0719989
door	0.0719413
regulation	0.0712333
quota	0.0711384
bridge	0.0709053
threshold	0.0704708
subsidy	0.0701569
challenge	0.0701337
gap	0.0693413
resistance	0.0682596
safeguard	0.0676885
difference	0.0673148
measure	0.0670951
burden	0.0667054
level	0.0658292
cordon	0.0655423
ceiling	0.0650918
deterrent	0.0649838
milestone	0.0648934
disparity	0.0640599
line	0.0630079
distinction	0.0628929
incentive	0.0625545
"red tape"	0.0625442
access	0.0620684
hazard	0.0619555
policy	0.0618166
prerequisite	0.0616858
tree	0.0616516
approach	0.0615769
handicap	0.0612024
opportunity	0.0611588
imbalance	0.0605118
standard	0.0603244
contribution	0.0600105
"customs duty"	0.0600074
firewall	0.0599806
system	0.059668
mechanism	0.0596178
dam	0.0596061
blockade	0.0594614
disadvantage	0.0593664
rule	0.0591987
advantage	0.0591408
Tower	0.0591232
tax	0.05841
"barbed wire"	0.058375
impetus	0.0583251
insulation	0.0581505
taxation	0.0581302
commitment	0.0579415
risk	0.0577721
protection	0.0576336
discrimination	0.0570578
shield	0.0569961
threat	0.0569171
law	0.0568973
buffer	0.0568469
infrastructure	0.0567069
prejudice	0.0563045
flaw	0.0562261
alternative	0.0560901
tension	0.0560661
protectionism	0.0560334
sanction	0.0558634
control	0.0558611
disruption	0.0556663
ban	0.0556419
condition	0.0556143
procedure	0.0556073
monument	0.055435
marker	0.0553911
objection	0.0552967
road	0.0552811
pillar	0.0552725
"speed limit"	0.0552355
loophole	0.0550698
roof	0.0550328
dike	0.0548071
fee	0.054404
key	0.0542597
block	0.0540766
"tax break"	0.0539905
"import duty"	0.0539336
bias	0.0538984
cost	0.0538734
drawback	0.053868
railing	0.0537278
stigma	0.0536543
priority	0.0536084
embargo	0.0535988
provision	0.0533138
window	0.0532778
improvement	0.0532706
hardship	0.0532368
scaffolding	0.0531636
privilege	0.0531228
delay	0.0530596
guarantee	0.0529483
stimulus	0.0529243
setback	0.0528631
pole	0.0528338
zone	0.0527587
step	0.0526993
characteristic	0.0526639
building	0.0525711
monopoly	0.0524555
uncertainty	0.0524508
layer	0.0523359
"tax rate"	0.0522692
pitfall	0.0522436
inconvenience	0.0522428
device	0.0520744
misunderstanding	0.0520741
billboard	0.0519401
reduction	0.0519365
snag	0.0516961
pressure	0.0516262
object	0.051185
partition	0.0508814
tool	0.0507496
element	0.0507373
embankment	0.0506151
security	0.0505587
linkage	0.0504146
tent	0.0504043
restraint	0.0502102
benefit	0.0500228
development	0.0499569
path	0.0498168
facility	0.0497765
importance	0.0497745
benchmark	0.0497014
"price control"	0.0496105
congestion	0.0495114
demand	0.0495009
"interest rate"	0.0494772
competition	0.0494571
"power line"	0.0494545
arrangement	0.0494345
tile	0.049404
poverty	0.0493781
concern	0.049369
rate	0.0493533
adjustment	0.0493287
trouble	0.0493145
duty	0.0493002
violation	0.0492219
space	0.0492111
impact	0.0491943
weakness	0.0491281
shift	0.0491039
statue	0.0491039
stereotype	0.0490901
potential	0.0490723
overlap	0.0490527
price	0.0489904
fencing	0.0489888
contradiction	0.0489376
practice	0.048885
formality	0.0488495
vehicle	0.0488491
guideline	0.048813
preference	0.0488127
shortage	0.0487723
"value-added tax"	0.0486468
growth	0.0486259
aspect	0.0485578
danger	0.0485493
distraction	0.0485446
ground	0.0485396
pattern	0.0484331
penalty	0.0484029
code	0.0483547
crosse	0.0483448
))
(Barrington (desc 1954.72) (sims
Evanston	0.148483
Deerfield	0.1319
Wheaton	0.115277
Cumberland	0.114455
Naperville	0.0933885
Warwick	0.0883846
Middletown	0.087649
Quincy	0.0856909
"East St. Louis"	0.0846225
Exeter	0.0844977
Cicero	0.082995
Jamestown	0.0826997
Bedford	0.0818262
"Highland Park"	0.0815789
Pelham	0.0791496
Salem	0.0788399
Kingston	0.0778729
Riverdale	0.0764254
Hollis	0.0756048
Charlestown	0.0754217
Amherst	0.0753636
Smithfield	0.0751473
"Fayette County"	0.0738731
Ballymoney	0.0728391
LAKEWOOD	0.0728058
Montclair	0.0723404
Portsmouth	0.0711987
"Cobb County"	0.070956
Chappaqua	0.0704537
"Jefferson County"	0.0698486
Cornish	0.0694057
Plano	0.0683507
Irvington	0.068282
Walpole	0.0671901
Derry	0.0665332
Shipman	0.0663189
Bartlett	0.0654555
"Woodland Hills"	0.0649422
Weston	0.0648835
Conway	0.0630675
Hines	0.062509
LaGrange	0.0623873
ASHEVILLE	0.0618605
"Mill Valley"	0.0618377
Decatur	0.0617763
"El Dorado"	0.0608295
Petersburg	0.0605326
Chino	0.0603455
Carmel	0.059996
Cornelius	0.0599396
Wakefield	0.0598122
Hopkinton	0.0597422
Lawrenceville	0.0596446
"Monroe County"	0.0594949
"Blue Ridge"	0.0589942
Scarsdale	0.0588715
"Mission Viejo"	0.0582246
McLean	0.058025
SEABROOK	0.0578109
"Hollywood Hills"	0.0573761
Scottsdale	0.0571268
Coventry	0.0570642
Milford	0.0570136
"Westlake Village"	0.0569946
"Fairfax County"	0.0568012
Milton	0.056695
Peoria	0.0566632
"Cook County"	0.0566551
nix	0.0565598
Atler	0.0562856
Heredia	0.0558896
Addison	0.055814
Fassett	0.0557446
Pittsburg	0.0551341
Leyland	0.0549814
Winthrop	0.0548787
Elgin	0.0542014
"Fulton County"	0.0541546
DeKalb	0.0540214
"Manhattan Beach"	0.0539588
"Silver Spring"	0.0537336
Stockbridge	0.0535427
"Overland Park"	0.053322
riverside	0.0533082
Hanover	0.0526443
Hadley	0.0524651
Encino	0.052391
Leawood	0.0523216
Somerville	0.051635
Lobo	0.0514792
Atherton	0.0514484
Englewood	0.0512899
Keene	0.0510642
Chatham	0.0509097
franklin	0.0507552
Surrey	0.0505624
Peterborough	0.0505501
Fulton	0.0505373
aurora	0.0502634
Larsen	0.0501764
Needham	0.0501528
"Mount Vernon"	0.0500294
Bridgehampton	0.0496575
Kensington	0.0490085
Seymour	0.048814
Ashland	0.048474
Irving	0.0482275
"New Rochelle"	0.0482247
Lamar	0.0481599
Reseda	0.0480918
Bloomington	0.0480836
"Pacific Palisades"	0.0480337
"Bel Air"	0.0477517
rye	0.0470623
"Abu Dis"	0.0470003
meridian	0.0468492
Malden	0.0468452
Durham	0.0467929
Dixon	0.0467462
Alpharetta	0.0466509
Flanders	0.0465359
"Studio City"	0.0464277
Williamstown	0.0463749
Farmington	0.0462526
Darien	0.0462096
"Leon Smith"	0.0461799
Brunswick	0.0458849
"John Henry"	0.0457882
MINEOLA	0.0456584
Carrollton	0.045599
"New London"	0.0455826
Nakuru	0.0455773
Yonkers	0.045536
ISSEL	0.0455039
Greenwich	0.0454574
Hindery	0.0453889
"Bergen County"	0.0453115
Waterloo	0.0453063
Navarro	0.044401
Heinrichs	0.0442086
Armstead	0.0441461
Lyme	0.0439685
Bradenton	0.0438706
Ojai	0.0437032
passerby	0.0435281
Tapani	0.0434389
Rockville	0.0433108
Danville	0.0433074
Sausalito	0.0432679
"Brooklyn Heights"	0.0432152
Teresi	0.0431153
Pacoima	0.0429238
Medford	0.0427779
Ridgewood	0.0427761
Clifton	0.0426383
"Chevy Chase"	0.0426251
Morristown	0.0425783
Lexington	0.0423278
"New Canaan"	0.0423074
Nadler	0.0422225
Devon	0.0419602
Brentwood	0.0417888
Burkett	0.0417271
Mukora	0.0417031
Vick	0.0415607
Carlisle	0.0415212
Burlington	0.0415208
Wilton	0.0414879
"DeKalb County"	0.0413992
Ruehe	0.0413349
Chatsworth	0.0411276
Caldwell	0.0410573
"Madison County"	0.0408489
Pape	0.0408401
Easton	0.0408221
Westfield	0.0407733
"Simi Valley"	0.0407371
Houghton	0.0406465
"Palm Beach Gardens"	0.0406199
Sulawesi	0.0404695
Mitrovica	0.0401571
"Flagler County"	0.0401415
"Van Nuys"	0.0400985
Tempe	0.0400984
Peterson	0.0400868
Duluth	0.0400099
))
(Barrio (desc 2578.14) (sims
Mundo	0.0949484
"East Los Angeles"	0.0932044
barrios	0.0896465
"Hell's Kitchen"	0.0877985
Bronx	0.0844214
"North Beach"	0.0781688
"Solomon R. Guggenheim Museum"	0.0759569
Caguan	0.0755007
Prado	0.0743436
Toro	0.0739189
"Mount Sinai Medical Center"	0.071727
"Washington Heights"	0.070321
Villar	0.0702058
"Polo Grounds"	0.0701976
"Apollo Theater"	0.0693783
"Mount Sinai Hospital"	0.0686776
"Highland Park"	0.068193
ghetto	0.0679875
"Film Forum"	0.0679064
"Waldorf-Astoria Hotel"	0.0676869
"Rockefeller University"	0.0674983
"Boynton Beach"	0.066741
Portillo	0.0663937
"Jewish Museum"	0.0654078
"Riverside Church"	0.0653691
"Estados Unidos"	0.0653001
Rey	0.065097
Amor	0.0649089
"East St. Louis"	0.0644292
Banda	0.0642529
Morristown	0.0640122
Pueblo	0.063194
"Hollywood Hills"	0.0629395
Dorchester	0.0622908
"Lake Worth"	0.0620277
"Garden City"	0.0614076
"Cooper Union"	0.0611738
Riverdale	0.0605987
Montclair	0.0602754
"Memorial Sloan-Kettering Cancer Center"	0.0601867
"Little Havana"	0.0601477
Plata	0.0600933
"Pitt County"	0.059878
"East Harlem"	0.0589969
"South End"	0.0588247
Wallingford	0.0582276
"Huntington Beach"	0.057202
LAKEWOOD	0.0568867
"Whitney Museum"	0.0565184
slum	0.0564231
Holyoke	0.055615
Englewood	0.0553546
"Irish Catholic"	0.0550831
Westport	0.0549778
"inner city"	0.0549495
"Marin County"	0.0548222
"Hunter College"	0.0544417
Norte	0.0543251
"Walnut Creek"	0.0542664
"North End"	0.0541511
"Union City"	0.0537672
Woburn	0.0536955
boxcar	0.0535496
"East Orange"	0.0534417
"Greenwich Village"	0.0533623
"International Rescue Committee"	0.0533209
Coronado	0.0532448
"Cherry Hill"	0.0527704
"Newport Beach"	0.0527419
"Pennsylvania Station"	0.0526041
Sol	0.0524546
por	0.0523724
Chatsworth	0.0523367
Valle	0.0523192
"South Bronx"	0.0521141
Peekskill	0.0520212
Lawrenceville	0.0515702
"Legal Aid Society"	0.0515273
tenement	0.0513318
Bensonhurst	0.0513019
"Borough Park"	0.0511419
"New Canaan"	0.0509821
Paterson	0.0507145
Brentwood	0.0506898
"San Fernando"	0.050535
"Cuban capital"	0.0502604
"Rockland County"	0.0501993
Falmouth	0.0500864
"Studio City"	0.0500226
Monte	0.0500056
"Whitney Museum of American Art"	0.0499081
"Metropolitan Opera House"	0.0498848
"American Jewish Committee"	0.0498298
"Vicente Fox Quesada"	0.0497906
Boca	0.0494993
"Forest Hills"	0.0493891
Westfield	0.049282
"Brighton Beach"	0.0492454
Roxbury	0.0487827
Guerra	0.0485857
"New Bedford"	0.0485401
Evanston	0.0480672
Fiorina	0.0477244
"East Village"	0.0476187
"Simi Valley"	0.0474428
"Museum of Natural History"	0.0474363
"Vicente Fox"	0.0473501
"San Felipe"	0.047273
"row house"	0.0471211
Astoria	0.0469479
nerdy	0.0467471
Eureka	0.0467201
"Miami Valley"	0.0466481
"Millrose Games"	0.0466168
down-and-out	0.046249
BRIGHTON	0.0461314
MINEOLA	0.0461117
"grammar school"	0.0460104
Rincon	0.0459981
Bedford-Stuyvesant	0.0459316
"Anti-Defamation League"	0.0458845
"North Hollywood"	0.0458596
"Barnard College"	0.0457134
Chatham	0.0456948
"Woodland Hills"	0.045647
"Bergen County"	0.0455796
Waldorf-Astoria	0.0452261
"Juilliard School"	0.045092
Huntington	0.0450784
"Granada Hills"	0.0449193
Sur	0.0448981
Savoy	0.0448619
que	0.0444858
kibbutz	0.0441968
"Asia Society"	0.0441028
Shawnee	0.0441012
Hialeah	0.044098
"Chapel Hill"	0.044035
"Mount Vernon"	0.0440232
las	0.0439147
bloke	0.0439034
"Supreme Judicial Court"	0.043785
Geiger	0.043766
"Penn Station"	0.0435923
"Orthodox Jewish"	0.0434697
Deportivo	0.0434543
Greenwich	0.0433827
"American Museum of Natural History"	0.0433817
councilwoman	0.0432813
Lynchburg	0.0431489
FARGO	0.0431042
Zorro	0.043048
"smart aleck"	0.0430412
Lakeland	0.0428339
Tarzana	0.0428204
Monticello	0.0428141
"San Bernardino"	0.0427574
"South Bend"	0.0426859
Plano	0.0426822
Rosario	0.0426638
"Garden State"	0.0425386
"boarding school"	0.0425028
"Fordham University"	0.0424876
Bloomfield	0.0423358
Jamestown	0.04229
Italian-American	0.042255
"Plaza Hotel"	0.0422443
deadend	0.04198
"Crown Heights"	0.0419363
Wichita	0.0418726
"Paradise Valley"	0.041814
Fremont	0.0418118
Medford	0.0416757
ASHEVILLE	0.0416696
"Little Italy"	0.0415198
"Tarrant County"	0.0412981
Scarsdale	0.0411645
"New Rochelle"	0.0411592
Soho	0.0411109
Needham	0.0411041
"central city"	0.0410917
Laramie	0.0410641
Clifton	0.0410405
"Jersey City"	0.040955
dia	0.040886
Dunwoody	0.0408207
"Pacific Palisades"	0.040816
"San Mateo"	0.040693
SAL	0.040665
Bedford	0.0405301
Bohemia	0.0405081
Framingham	0.040505
shanty	0.0404817
"Panama City"	0.0404647
Camden	0.0404445
Modesto	0.0402398
Decatur	0.0401759
"Guggenheim Museum"	0.0401667
"Holy Land"	0.0401545
"P.S @@@"	0.0401413
))
(Barrionuevo (desc 940.115) (sims
Akayesu	0.204627
Priebke	0.166197
Fortier	0.157106
Jelisic	0.151302
Coolio	0.149504
Gauthe	0.143375
Gutman	0.138587
Laudor	0.135569
"Angel Maturino Resendiz"	0.133562
Karbaschi	0.131341
Deri	0.130977
"Maturino Resendiz"	0.130401
Markhasev	0.127965
Sebaggala	0.127448
Giacchetto	0.12676
Neulander	0.125051
Agca	0.124507
"Russell Peeler"	0.124317
Schweitzer	0.123974
Lacresha	0.123217
Halloran	0.122553
Schaffer	0.122211
Hofer	0.118355
Shipman	0.118033
"Imelda Marcos"	0.11788
Manbar	0.117283
"Russell Henderson"	0.116812
Sithole	0.116784
Carneal	0.11675
Berenson	0.115907
Noriega	0.114481
"intelligence analyst"	0.114384
Swango	0.113591
Whitacre	0.113352
Papon	0.112298
Imelda	0.112065
Kaczynski	0.11183
McDuff	0.110813
Fagan	0.108911
Nikitin	0.108335
Salemme	0.108174
Martorano	0.107644
Hamid	0.107087
Montiel	0.106461
Kalejs	0.106421
Shulman	0.106162
"Theodore Kaczynski"	0.105898
Robison	0.105669
Blackthorne	0.105429
Sheinbein	0.103174
Abernathy	0.102747
"Di Canio"	0.101132
Gotti	0.100977
Espinoza	0.1007
Boesak	0.0998847
"Terry Nichols"	0.0996802
Berlusconi	0.098671
al-Megrahi	0.0981559
Symington	0.0981533
"Aryeh Deri"	0.0973181
Bowers	0.0973129
Fabius	0.0972637
Francois	0.0970256
Hoffmann	0.0965199
Capano	0.0960196
"Raul Salinas"	0.0956588
Crocker	0.095129
guardsmen	0.0950949
Soliah	0.0948609
Claes	0.0942069
Limon	0.0940704
Mitnick	0.0938776
Piggie	0.0938474
"Bill King"	0.0935963
Mease	0.0926034
"John William King"	0.091508
Bhutto	0.0912275
Duran	0.091017
Craxi	0.0902698
Fuhrman	0.0902675
"Yigal Amir"	0.0902196
Hirschfeld	0.0901105
Macdonald	0.0893558
Einhorn	0.0892569
McVeigh	0.0890961
Nichols	0.0889335
Hatfield	0.0888045
Demps	0.088435
"Maturino Resendez"	0.0883308
Kimes	0.0877329
Conley	0.0876439
"Secretary General Esmat Abdul-Meguid"	0.087227
Meeks	0.0871605
co-defendant	0.0871394
Hsia	0.087052
Grossberg	0.0868732
Faulder	0.0866546
Edelman	0.0866226
"Iranian Jews"	0.08621
Cheung	0.0861099
Keating	0.0860907
Kinkel	0.0858229
Cepeda	0.085686
Nunez	0.0848565
Khalil	0.0847318
Milken	0.0846421
Lundy	0.0845461
Kambanda	0.0836471
Bruton	0.0833711
Echegaray	0.0827371
"El Hage"	0.0825983
Gurule	0.0824983
"Prime Minister Kamal El-Ganzouri"	0.0824343
"Jack Kevorkian"	0.0822217
Bhattarai	0.0817832
Pollard	0.0815678
Pryor	0.0813755
Blanton	0.0813253
Stayner	0.0812017
"Cary Stayner"	0.0808778
"Justin Volpe"	0.0808494
LeFave	0.0804442
"Rae Carruth"	0.0799415
"Timothy McVeigh"	0.0797493
Livoti	0.0797358
Kimeses	0.0797072
Kluivert	0.0794612
Ng	0.0791915
Rashid	0.079132
Zhivkov	0.0789413
Meskini	0.0786782
"David Hale"	0.0786298
Zamora	0.0786227
Kodikian	0.0784814
Merlino	0.078185
Huggins	0.0779722
KEVORKIAN	0.0777572
Gravano	0.0776963
"Jim Guy Tucker"	0.0775269
Kehoe	0.0774837
Imperatori	0.0774804
McDougals	0.0772704
McKinney	0.0772169
Ince	0.0770907
Lazarenko	0.0769408
Valenzuela	0.076733
Hiett	0.0765966
Sharma	0.0764468
"Edwin Edwards"	0.076325
Jarrell	0.0763137
Baumhammers	0.0761904
Siripongs	0.0761116
Sharansky	0.0759865
Amir	0.0759824
Echols	0.0759762
Combs	0.0751087
Andreas	0.0747731
Lyons	0.0746807
roofer	0.0743613
twenty-eight	0.0743605
Abbas	0.0742732
Mattysse	0.0741538
Natale	0.0740688
chun	0.0739679
Erbakan	0.0739219
Liang	0.0738944
Simons	0.0738017
"Benazir Bhutto"	0.0736937
"Perez Balladares"	0.073685
looper	0.0735221
Mehmet	0.0734978
Vasquez	0.0731826
"Martin Frankel"	0.0731646
Sato	0.0730969
Gritz	0.07309
Brennan	0.0730328
Auriemma	0.0730173
Beckwith	0.0729694
leeson	0.0728955
co-conspirator	0.0727744
Alatas	0.0725095
Sommer	0.0724622
Gantamirov	0.0723911
Sweeting	0.0722204
"Ahmed Ressam"	0.0720971
hale	0.071505
Hensley	0.0714401
Napolitano	0.0714112
Nasrin	0.0713954
Krstic	0.0713639
D'Amico	0.0713466
Padilla	0.0713248
Lawson	0.0711347
Haouari	0.071123
Stoyanov	0.0709311
Strauss-Kahn	0.0708968
Gowda	0.070885
Tran	0.0707759
Washburn	0.0706796
McAllister	0.0705825
))
(barrios (desc 1917.62) (sims
"Andrew Ramirez"	0.100355
Barrio	0.0896465
"Maxine Waters"	0.0829215
"Estados Unidos"	0.0801674
slum	0.065092
colonias	0.0644589
Girlfight	0.0575806
Mundo	0.0560478
"Eastern District"	0.0557901
"Blue Shield"	0.0557774
Sabra	0.0551496
"Nancy Pelosi"	0.0539439
"Anita DeFrantz"	0.0535258
Reyes	0.0534699
flatlands	0.0533006
backwoods	0.0518128
Guerra	0.0517095
blacktop	0.0514236
Fuhrman	0.0511692
"Henry Waxman"	0.0503599
Casas	0.0500936
"Loretta Sanchez"	0.048244
"Mary Bono"	0.0481146
byway	0.0472933
"Central Valley"	0.046591
"David Dreier"	0.0465457
"Tom Campbell"	0.0463233
"Bill Thomas"	0.0461018
Striver	0.0454908
Pacificare	0.045365
Dias	0.0448182
Compton	0.0446466
"Tito Puente"	0.0446016
bloke	0.0440923
Bund	0.043692
guidepost	0.0436202
Zapata	0.0435579
leone	0.0435347
"White Mountains"	0.0431958
Shayler	0.0427513
"Lenny Krayzelburg"	0.0426896
minicamps	0.0425816
Blackman	0.0423848
mayorship	0.0420133
Villar	0.0418629
Almeida	0.0417775
Alves	0.0417582
Barros	0.0414307
Kasoulides	0.041413
Sampaio	0.0413455
"supply line"	0.0413123
Seward	0.0412048
"James Rogan"	0.0411584
Jager	0.0411415
Bruijn	0.041058
ex-mayor	0.040884
"Christopher Cox"	0.0408606
"Lloyd Doggett"	0.0408458
whistle-blowers	0.040771
"Sephardic Jews"	0.0407407
Shulman	0.0406846
Contreras	0.0405534
Zacarias	0.0402499
Aquino	0.0400435
))
(barrister (desc 1958.09) (sims
"stage director"	0.0884761
thespian	0.0764947
nobleman	0.0758362
educationist	0.0758138
jurist	0.073807
"landscape architect"	0.0716543
criminologists	0.0710663
violinist	0.0708708
"foreign service officer"	0.0706738
QBs	0.0667849
fundraisers	0.0656776
soulmate	0.0652304
Litigator	0.0649421
Blanchett	0.0638108
"Christian Democrat"	0.0629026
psychoanalyst	0.0628314
"second person"	0.0623763
courtesan	0.062353
mathematician	0.0620202
"stage manager"	0.0619531
"telephone operator"	0.0614232
cellist	0.0610411
"private investigator"	0.0604409
photojournalist	0.0603661
"air force officer"	0.0594036
whistle-blowers	0.0592348
"trial attorney"	0.0590237
cartoonist	0.0589995
pianist	0.0587793
Englishwoman	0.0586494
academician	0.0577747
physicist	0.0576896
"literary agent"	0.0575986
naturalist	0.0574532
"art historian"	0.057329
"heart surgeon"	0.0570304
clergyman	0.0564207
copywriter	0.0563315
"David Irving"	0.0562086
pre	0.0554946
sommelier	0.05548
Sahnoun	0.0552679
"social scientist"	0.0549779
Irishmen	0.054651
linguist	0.0536434
Floridian	0.0535888
"investment banker"	0.0534775
"art dealer"	0.0532934
"mountain gorilla"	0.0532743
businesswomen	0.0532019
botanist	0.0530253
calligrapher	0.0528374
ornithologist	0.052836
geologist	0.0524785
"Ramsey Clark"	0.052368
"certified public accountant"	0.0522125
puppeteer	0.0521846
"divorce lawyer"	0.0519738
"man's body"	0.0519238
folklorist	0.0518966
Striver	0.0517021
Lollar	0.0515194
musicologist	0.0514849
"public servant"	0.0513948
"art student"	0.0513915
percussionist	0.0513863
clergymen	0.0512753
pediatrician	0.0511583
sculptor	0.0509878
philanthropist	0.0508849
"jazz musician"	0.0507249
"Ted Hughes"	0.0506801
maneuvering	0.050676
transnationals	0.0504115
"break of serve"	0.0504097
aristocrat	0.0502701
choreographer	0.0501452
theoretician	0.0501129
Georgian	0.0500907
"Matt Santangelo"	0.049918
gadfly	0.0498344
Lari	0.0495787
aviator	0.0495675
paleontologist	0.0494633
backpacker	0.0494626
"Tom Brady"	0.049398
"sea captain"	0.0493928
"newspaper publisher"	0.0493158
enlistee	0.04915
"Australian Mark Philippoussis"	0.0490411
"naval officer"	0.0490206
"Martin Luther King III"	0.0489607
"fashion designer"	0.0487868
schoolboy	0.0486821
Industrialist	0.0486427
Realtor	0.0485714
horticulturist	0.0485431
McDonough	0.048541
"tabloid newspaper"	0.0484907
"government officials"	0.0483208
"disc jockey"	0.0481148
personage	0.0480806
"army officer"	0.0480587
"political dissident"	0.0480232
"margin call"	0.0479989
fireman	0.047914
archivist	0.0478983
scion	0.0477433
"sports writer"	0.047517
statesman	0.0474681
left-winger	0.0474542
"Christine Arron"	0.0472039
holidaymaker	0.0471516
"Ryan Kealy"	0.0469891
toxicologist	0.0469416
"Texas Democrats"	0.0469278
Futurist	0.0468577
octogenarian	0.0468084
"North Carolinian"	0.0465527
Iowan	0.0462785
"Robin Cook"	0.0462104
"Russ Springer"	0.0462032
decorator	0.0461529
essayist	0.0460944
soloist	0.0458665
skydiver	0.045864
Admiral	0.0457339
"cabinet member"	0.045703
Titov	0.0456
crewman	0.0455258
egghead	0.0455043
"leading lady"	0.0455031
statesmen	0.0454998
policewoman	0.0454706
"medical practitioner"	0.0454477
ballerina	0.0453898
Mahomes	0.045306
oceanographer	0.0452155
Kornberg	0.0451336
bloke	0.0451217
"man of letters"	0.0450155
zoologist	0.0449524
"real estate broker"	0.0449496
lad	0.0448812
"defense lawyers"	0.0448122
schoolteacher	0.0445317
agronomist	0.0445292
brooch	0.0445283
"Doug Johnson"	0.044517
aldermen	0.0445145
"funeral director"	0.0444571
stockbroker	0.0443267
"pass catcher"	0.0443003
half-brother	0.0441867
Aoki	0.0441729
"lieutenant general"	0.0441241
"military man"	0.0440203
Coolio	0.0439869
"community organizer"	0.0439862
screenwriter	0.0439682
Gastroenterologist	0.0439193
oncologist	0.0438848
"Tee Martin"	0.043881
Pillars	0.0438646
cameraman	0.0438203
Hamed	0.0438139
microbiologist	0.043813
demographer	0.0437731
Panamanian	0.0437574
"civil rights leader"	0.0437079
"character actor"	0.043685
Sensenbrenner	0.0436484
"faculty member"	0.0435067
shipowner	0.0435029
"foster child"	0.043488
"software engineer"	0.0434626
Navajos	0.0434142
ex-convict	0.0433914
"business executive"	0.0433693
geisha	0.0433633
"public defender"	0.0433225
"mountain climber"	0.0433069
conscript	0.0433038
acrobat	0.0431918
"law student"	0.0430719
sociologist	0.0430714
"Bo Jackson"	0.0430573
cardiologist	0.0429548
"fellow worker"	0.0429416
psychotherapist	0.0429183
astrophysicist	0.0428341
Hellman	0.0427122
publicist	0.0426901
"service break"	0.0426679
backbencher	0.0426568
"eye doctor"	0.042628
"professional golfer"	0.0426237
literati	0.0426082
"real estate agent"	0.0425701
Guatemalan	0.0425663
))
(Barron (desc 3729.99) (sims
Hersh	0.113591
Weil	0.109458
Sobel	0.103828
"Business Week"	0.0979954
"Wall Street Journal"	0.0961154
"Financial Times"	0.0941264
Zuckerman	0.0939979
Krugman	0.0924243
Copeland	0.0920198
Simons	0.0909949
Hamlin	0.0906248
"Village Voice"	0.0891577
Mahoney	0.0882213
Grossman	0.0874388
Newsweek	0.0870586
"International Herald Tribune"	0.0868461
Ziegler	0.0857465
Sheehy	0.0855407
Henley	0.0853893
"World Report"	0.0853419
brill	0.0847257
"Washington Post"	0.0838795
Markovic	0.0818511
"Dallas Morning News"	0.0814939
Rubenstein	0.081335
McLaughlin	0.081301
Larson	0.0811081
Finkel	0.0810152
Nickerson	0.0806358
"USA TODAY"	0.0803942
Muir	0.0800781
"Washington Times"	0.0800624
Remnick	0.0799527
Butterworth	0.078991
"New York Post"	0.0783408
Broaddrick	0.0777953
"Sports Illustrated"	0.0772055
"Los Angeles Times"	0.0766585
"Houston Chronicle"	0.076264
Blackwell	0.0760999
Mullen	0.0759185
Wolff	0.075837
Deutsch	0.0754089
Brandt	0.0748239
"Sydney Morning Herald"	0.0747596
Shriver	0.0746262
"New York Daily News"	0.074578
Hirsch	0.0744869
Meissner	0.0741429
Howell	0.0740022
Kurtz	0.0739061
Quinn	0.0735821
Grimes	0.0735471
DiCicco	0.073431
Jaffe	0.0733399
"New Republic"	0.0730153
"South China Morning Post"	0.0716338
Feldman	0.0709395
Vogel	0.0709213
Rosenthal	0.0709128
Loeb	0.070497
Dempsey	0.070187
Soto	0.0701802
Northup	0.0701
Auerbach	0.0697266
Stahl	0.0696784
Epstein	0.0696156
Myhrvold	0.0694889
"Le Monde"	0.0693861
Rivlin	0.0691854
Salinger	0.0685513
Mott	0.0685398
Ashrawi	0.0682236
Siegel	0.0681743
Rothenberg	0.0680299
Segal	0.0680143
Behr	0.0679963
Fernandes	0.0679444
Levine	0.0678262
"Business Times"	0.0677988
McNamara	0.0676947
Ono	0.067673
Adler	0.0676087
Gaston	0.0675909
Collier	0.0674378
Davidson	0.0674342
"Brian Cashman"	0.0672446
Fleischer	0.0670138
Knox	0.0669636
Farnsworth	0.0666267
Granma	0.0663293
Inquirer	0.065725
Katzenberg	0.0655902
Shapiro	0.0655442
Felton	0.0654911
McLachlan	0.0652292
Horowitz	0.0649445
Hanna	0.0648843
Chappell	0.0646986
Mudge	0.0644474
Hanley	0.0643069
Rosenberg	0.0642937
"Rolling Stone"	0.064217
Hallinan	0.0641601
Moser	0.064132
Rudman	0.0639943
Keller	0.063879
Hoffman	0.0636033
Lowry	0.0635929
McCartney	0.063434
Hahn	0.0632878
Edelstein	0.0632618
Kurth	0.063021
Fink	0.0629547
BENSON	0.0629337
Goldberg	0.0628806
Slatkin	0.0627538
Cao	0.062745
Berkley	0.0626508
Ritter	0.0624291
Dion	0.0622474
Capps	0.0622454
Dixon	0.0620355
McPherson	0.0619125
Zagat	0.061907
Aquino	0.0618844
"Macao Daily News"	0.0618267
Steele	0.0617321
Baum	0.0614911
Duffy	0.0613625
Schneider	0.0613581
Hess	0.0613065
Weiner	0.0612385
Hawke	0.0612076
"Advertising Age"	0.0611518
Talebi	0.0611137
Katz	0.0611111
Newhouse	0.0610339
"Der Spiegel"	0.0609662
Hiett	0.0609576
Bloch	0.0609246
Kern	0.0607251
Grasso	0.0607245
Meyers	0.0606245
Wolfson	0.0605893
"Arizona Republic"	0.0605463
"San Francisco Chronicle"	0.0605278
Mckee	0.0605093
Andersen	0.0604363
jacoby	0.0603734
Isner	0.0602237
"De la Cruz"	0.0601488
"administration official"	0.0600493
krueger	0.0600379
tabloid	0.0599361
Darnell	0.0599295
estes	0.0596991
Triplett	0.0596888
Ulrich	0.0596326
Tomlin	0.0596175
Fraga	0.0595332
Berman	0.0592031
"Chicago Tribune"	0.0591418
Kenyon	0.0590833
Coen	0.0587106
McIntyre	0.0586569
Wasserstein	0.0586164
Mackey	0.058609
TALBOT	0.0585098
Doherty	0.0584114
Schaeffer	0.0582783
"Philadelphia Inquirer"	0.0582395
Wolfe	0.0581782
Koop	0.0581357
McCombs	0.058053
Schmidt	0.0580504
Jenkins	0.0579678
Garber	0.0579488
Nielsen	0.0578923
Solzhenitsyn	0.0577974
Sharma	0.0577689
Levin	0.0576771
Kommersant	0.0575899
Conley	0.0574187
Lerner	0.0572522
COYNE	0.0572496
Strauss-Kahn	0.0572213
O'Neil	0.0572111
Brundtland	0.0571449
Lawler	0.057098
harrison	0.0570352
Ackerman	0.057
Carl	0.0569957
Kaplan	0.0569766
"Le Figaro"	0.0568161
Steinberg	0.0568152
Hayden	0.0567889
Conrad	0.0567742
Harper	0.0567398
Rawlings	0.0566565
))
(barroom (desc 3813.16) (sims
schoolyard	0.101564
gangland	0.0827689
drive-by	0.0793866
saloon	0.0677281
nightclub	0.0674228
raunchy	0.0570673
one-hour	0.05273
backroom	0.0526985
Buckhead	0.0523489
gerbil	0.0521713
ballroom	0.0493377
"two @@@@"	0.0490541
flatulence	0.047837
pub	0.0470547
hourlong	0.0464967
honky-tonk	0.0457788
parlor	0.0456456
"bowling alley"	0.0456341
tavern	0.045503
Gerardi	0.045371
high-stakes	0.044717
jailhouse	0.0444274
punchy	0.0434665
coffeehouse	0.0433465
zodiac	0.0428826
deadend	0.0427173
Racak	0.0425765
"Waffle House"	0.042454
sandbox	0.0417795
disco	0.0417619
"Kent State"	0.0415846
takings	0.0415233
"Empire State"	0.0412367
three-hour	0.0409879
))
(Barros (desc 1343.95) (sims
Guerra	0.125875
Lockyer	0.121623
Borbon	0.120547
Solis	0.118243
Valenti	0.117709
Okada	0.117438
Bildt	0.114693
MURTHA	0.11405
Finkel	0.107655
Zuma	0.10672
Bettman	0.106299
Paxon	0.103179
Rubenstein	0.102847
Auriemma	0.101707
Gogel	0.101283
Jager	0.101066
Bergeron	0.100635
Strauss-Kahn	0.100435
Maslyukov	0.100048
Reimer	0.0991332
beamer	0.0989494
Piot	0.0979146
Heinrichs	0.0977502
Solich	0.0977096
Weisman	0.0973197
Tubbs	0.0973065
Meissner	0.0970501
Ebersol	0.096814
Cink	0.0959817
Shamshad	0.0957892
Galindo	0.0951414
Troussier	0.0946027
Azizah	0.0945004
Mandella	0.0942005
Fleischer	0.0940194
Lehane	0.0917927
Carrera	0.0910661
Kuehne	0.0910544
Hauser	0.0905657
Aventajado	0.0903495
Hartsburg	0.0902111
Cooley	0.0896723
Calloway	0.0892272
Bruijn	0.08868
Carollo	0.0885923
Passarella	0.0885604
Ruggiero	0.0884326
Polian	0.0883994
Muckler	0.0883054
Insulza	0.0882947
Mello	0.0880132
"administration official"	0.0877411
McCurry	0.0875917
Nickerson	0.0872906
Elam	0.0872195
Ainge	0.0863918
Fuente	0.0856691
Singson	0.0855287
Tocchet	0.085138
Fuentes	0.0850748
Hybl	0.0847766
Geiger	0.083808
Mendez	0.0835999
DeFrantz	0.0835517
Cota	0.0835159
Brack	0.0834496
Jong	0.0829513
Shoate	0.0826976
Hyman	0.0826717
Hoddle	0.0824621
Almeida	0.0823496
Moakley	0.0820668
Vinatieri	0.0819572
Gorter	0.0815814
Sapp	0.0815192
Padilla	0.08148
Laudrup	0.0814572
Gullikson	0.0809738
Schmalensee	0.0802413
Zapata	0.0802317
Mercado	0.0801466
Choate	0.0800365
Hanna	0.0796921
Hirst	0.0796342
Bonner	0.0796252
Waxman	0.0794414
Gilmore	0.0793903
Kostov	0.0793767
Klerk	0.079226
Conroy	0.0791647
Gilmour	0.0791183
Allchin	0.0789913
Jeffers	0.0789034
Flanagan	0.0788626
Andreychuk	0.0787694
Thayer	0.0786354
Harmoko	0.0785946
Rylander	0.0783038
Bodine	0.0782877
Barrie	0.078264
Menard	0.078071
Rutledge	0.0779178
Satcher	0.0778482
Majerle	0.0777391
Jayakumar	0.0775954
Jovanovic	0.0774832
Antley	0.0774336
Naumann	0.0774215
Muoneke	0.0773802
Wolfson	0.0773745
Soto	0.0767533
Markey	0.076607
Gregg	0.0765903
Dewine	0.0765807
Hayworth	0.0763532
Venecia	0.0762196
Seanez	0.0762134
Bustamante	0.0759328
Stricker	0.0758739
Sherrill	0.0756979
Xiang	0.0754332
McCarron	0.0754303
Inhofe	0.0753605
Hickman	0.0753049
Harbaugh	0.0751649
Ganassi	0.075078
Herron	0.0749982
Moyo	0.0747698
Stackhouse	0.0747402
Boer	0.0747034
Woolley	0.0744982
Lowery	0.0744154
Kurth	0.0742786
Tuberville	0.0742373
Chao	0.0742093
Cubas	0.0741786
Klima	0.0741537
Bratton	0.0740954
Suarez	0.0739089
Cristina	0.0738395
Schmid	0.0737303
Harkin	0.0736771
Butterworth	0.0735468
Dempsey	0.0734485
Gillespie	0.0733936
Barshefsky	0.0733782
D'Alessandro	0.0733426
Sato	0.0731357
Molinari	0.073127
Rendell	0.0731191
Linder	0.0729712
Vogts	0.0729525
Werner	0.072918
OCA	0.0728988
Bavasi	0.0728875
Zucker	0.0728834
Murrell	0.0725872
Bullard	0.0724675
Donohue	0.0724571
"Bank of Korea"	0.0724496
Prewitt	0.0724096
Marquez	0.0722639
Cashman	0.0722614
Polynice	0.0721606
Krzyzewski	0.0721567
McCaffrey	0.0721052
Fieger	0.0720369
Rothschild	0.0719643
McKinnon	0.071946
Rosen	0.0718985
Joyner-Kersee	0.0718753
Baum	0.0717911
Ruehe	0.0717436
Cremins	0.071743
Lindland	0.0716778
Guthridge	0.0716103
Kennard	0.0715276
Cornyn	0.0714744
Teresi	0.0711703
Monahan	0.0710034
Calcavecchia	0.0709931
Danner	0.0707917
Casas	0.0707223
Gossage	0.0705517
Herta	0.0704682
Stubbs	0.0704676
Garza	0.0704164
Boucher	0.0703465
Scharping	0.0703452
Valenzuela	0.0702897
Siazon	0.0702819
Myhrvold	0.0702658
Markovic	0.0702471
Gilman	0.0699867
Sather	0.0699746
Lansky	0.069833
O'Reilly	0.0698007
Paterno	0.0697938
Zolak	0.0697633
Nasrallah	0.0697562
))
(Barrow (desc 4091.33) (sims
Neulander	0.0922188
Baumhammers	0.0918441
Romanowski	0.0892351
"El Hage"	0.0887309
Mikhailov	0.0826309
Nikitin	0.0800385
Valenzuela	0.077781
Meskini	0.0776673
Figueroa	0.0773652
Kiareldeen	0.0756188
Blackthorne	0.075071
Faget	0.0749802
Mendez	0.0745969
Soliah	0.0732075
Ntuyahaga	0.0731145
Giacchetto	0.0730339
Shayler	0.0720073
"Maturino Resendiz"	0.0715865
Stayner	0.0703926
Gauthe	0.0701719
Hirschfeld	0.0700529
Arizmendi	0.0695124
Lundy	0.0684324
Naumann	0.0683726
Carruth	0.0678737
Fagan	0.0668907
Jenoff	0.0667861
MGH	0.0666493
Carollo	0.0665337
Sheinbein	0.066449
looper	0.0664048
Hiett	0.066222
Strauss-Kahn	0.0661029
Laudrup	0.0659115
Bowers	0.0655193
LeFave	0.0653808
Salemme	0.0653081
Tarawneh	0.0651752
Martorano	0.0651089
Andreychuk	0.0647256
POLK	0.064531
Skakel	0.0635995
"Ruiz Massieu"	0.0634812
Sweeting	0.0630047
Khalil	0.0629323
Gravano	0.0628484
Kalejs	0.0625904
Pirro	0.0614815
Sharma	0.0611587
"Russell Peeler"	0.0611581
Karr	0.0606232
"Michael Skakel"	0.060297
peeler	0.060153
Chmura	0.0597883
Lopez	0.0596852
Winkler	0.0591053
Olson	0.058955
Vogel	0.0586974
"Ray Lewis"	0.0585515
Bhutto	0.0584424
Egan	0.0581923
Indyk	0.0580879
Schweitzer	0.0580854
Sakic	0.0580055
Cisneros	0.0579941
Lafleur	0.0578435
Hensley	0.0578134
Swango	0.0575552
Juneau	0.0572244
Meissner	0.0570603
Ebersol	0.0570295
Abernathy	0.0570264
anchorage	0.056908
Murad	0.0568402
Appleby	0.0567451
Molinari	0.0567222
Choate	0.0566714
Einhorn	0.056538
Brazill	0.0563596
Piggie	0.0563511
Berenson	0.0562325
Kinkel	0.0559412
"Dinko Sakic"	0.0558057
Merlino	0.0555517
Montiel	0.0553494
furrow	0.0552567
Drexler	0.0551829
Yosef	0.0551808
Haouari	0.0551277
Finkel	0.0551194
Copeland	0.0550292
Ritter	0.0549809
Grady	0.0549742
Fleischer	0.0549726
Kaczynski	0.054908
Lipstadt	0.0549065
Henley	0.0548636
Garofalo	0.0546881
Tian	0.0546404
Frankel	0.0545988
Piot	0.0545514
Calcavecchia	0.0545045
Donohue	0.0544896
Mandelson	0.0544122
Danner	0.0542945
Fulton	0.0542886
Keller	0.0541417
Carneal	0.0539803
McMellon	0.0537581
Gogel	0.053687
Elhage	0.0536794
Kazhegeldin	0.0535382
Alarcon	0.0534874
Canty	0.0534657
Xia	0.0533611
Capano	0.0533135
Crawford	0.0532849
Hyman	0.0532671
Trie	0.0532606
Schaeuble	0.0531038
Limon	0.052873
"Martin Frankel"	0.0528419
Rashid	0.0528128
Mcbride	0.0526614
Kirkpatrick	0.0526253
Prewitt	0.0525666
Mason	0.0525361
Imperatori	0.0524882
Shulman	0.0524146
Gillespie	0.0522967
Ponciano	0.0522591
Heinrichs	0.0522474
Yoo	0.0522338
Ochoa	0.0522201
Papon	0.0521702
Lehane	0.0521124
Ghani	0.052097
Daniels	0.0519895
Kambanda	0.0519012
beamer	0.0518333
Hanna	0.0518315
Laperriere	0.0517976
Cobb	0.0517762
Robson	0.0517595
Hoke	0.0517318
Hybl	0.0516297
Gutman	0.0515099
sexton	0.051412
Dokmanovic	0.0511841
Musgrove	0.0509811
Gullikson	0.0508443
Vasquez	0.0507835
Wiese	0.050698
Bove	0.0506891
Manbar	0.050569
Sanderson	0.0504912
Griffin	0.0503947
Natale	0.0503836
Donato	0.0502733
Collier	0.0501413
Rahman	0.0501388
Priebke	0.0501323
Marquez	0.0501169
Bergen	0.0500691
Kuehne	0.050067
Soyinka	0.0500467
Reyes	0.0499592
Olsen	0.0499583
Aleman	0.049945
Kerrey	0.0498888
Wald	0.049773
Gurule	0.0497658
Villanueva	0.0497563
Ramirez	0.0497111
Devers	0.0496928
Donnan	0.0496712
Vance	0.0496012
Cusack	0.0495862
Kimeses	0.0495668
Spielman	0.0495345
Sheppard	0.0493886
Khannouchi	0.0493558
Silverstein	0.0493436
Mashburn	0.0492978
Nunez	0.0492268
Bodine	0.0491125
Moog	0.0490955
Werner	0.0490379
Haney	0.0489158
Forrester	0.0488824
Bowman	0.0487393
Williamson	0.0486137
Shriver	0.048434
Robison	0.0484041
Passarella	0.0483745
Musa	0.0483652
Laudor	0.0483649
Woodson	0.0483578
BURNHAM	0.048313
D'Amico	0.048215
))
(Barry (desc 13710.6) (sims
Paul	0.0953163
Carl	0.0929364
Richard	0.0905678
Jim	0.0894125
Terry	0.0889323
Walter	0.0885253
Ted	0.0879517
John	0.0875077
Brian	0.0868214
mike	0.0866596
Jeff	0.0860991
Bobby	0.0848289
Steve	0.0838598
James	0.0833663
tom	0.0832491
Albert	0.082815
Jamie	0.0828115
Jimmy	0.0825616
Manuel	0.0823604
Gerald	0.0823205
Kenny	0.0820023
Tim	0.0819987
Gary	0.0819563
Michael	0.0812686
Marty	0.0809763
William	0.0801592
Randy	0.0792407
Craig	0.0788491
Dan	0.0787997
David	0.0787599
Patrick	0.078313
Eric	0.0779775
Brett	0.0776228
Robert	0.077284
Danny	0.077231
Steven	0.0767809
Josh	0.0766962
Bruce	0.0766115
Keith	0.0762843
Frank	0.0762269
Larry	0.0761691
Alan	0.0759365
Dennis	0.0757807
BOB	0.0755558
Rick	0.0747925
Jerry	0.0745469
Roger	0.07452
Anthony	0.0743645
Oliver	0.0743357
Andrew	0.0739961
Kidd	0.0735011
Patterson	0.0734007
Dave	0.0729143
Ronald	0.0726648
Sean	0.0726381
Kevin	0.0724485
Joe	0.0723702
Godfrey	0.0720105
Charles	0.0716265
Ed	0.0716086
Chris	0.0714594
Ben	0.0714541
Kemp	0.0714072
Ron	0.071325
Wayne	0.0711919
Stephen	0.0709726
Hamlin	0.0709664
Brandon	0.0709079
George	0.0708586
Maxwell	0.0703016
Owen	0.0699802
Alexander	0.0698345
Francis	0.0694496
Juan	0.0693191
Scott	0.0691378
Vladimir	0.0687947
Keenan	0.0687466
Jonathan	0.0684451
Ralph	0.0681981
Roy	0.0681719
Casey	0.068103
Payton	0.0680479
Morrison	0.0679815
Nelson	0.0679427
Karl	0.0677631
Theo	0.0675251
Peter	0.067424
Drew	0.0672472
Harry	0.0669143
matt	0.0668267
Billy	0.0666383
Joseph	0.0663464
Daniel	0.0663047
Daley	0.0660482
Marcus	0.0660073
Raymond	0.0655266
Henry	0.0654202
Brock	0.0653975
Fred	0.0651361
Hardaway	0.0648085
Christopher	0.0646583
Elliott	0.0645694
Drexler	0.0644959
Todd	0.0644716
Stacy	0.0644456
Jeb	0.0643623
Ramon	0.0643107
"George W."	0.0641936
Alex	0.0640731
Jason	0.0640181
Arthur	0.0640089
Reggie	0.0637458
Pete	0.063466
Sam	0.063403
Clark	0.0633601
Andy	0.0633292
Eddie	0.0632792
Ryan	0.0631926
Doug	0.0631711
Epstein	0.0630782
Taylor	0.0630391
Clayton	0.0628746
Susan	0.0627814
Bryant	0.0624851
Gretzky	0.0624219
Shawn	0.0623051
Charlie	0.0622688
Neil	0.0621759
Vogel	0.0620386
Cummings	0.061909
Matthew	0.0618801
Mortimer	0.0617783
Pippen	0.0616588
Richardson	0.0615783
Joey	0.0615646
Glenn	0.061422
Ian	0.0612924
Baker	0.0612761
Jeremy	0.0612643
Andre	0.0609871
jack	0.0609396
Mario	0.060789
Thomas	0.0607536
Webber	0.0606346
Stewart	0.0604403
Connor	0.0603041
Adam	0.0602327
Cooper	0.0601526
Stevens	0.0600963
Grossman	0.0599944
Hickman	0.0599891
Evans	0.0598512
Calhoun	0.0598131
Ferguson	0.0597892
Henley	0.0596627
Watson	0.0596351
Mitchell	0.0594225
Kelly	0.0593337
smith	0.0593088
Allen	0.0592337
fowler	0.0590662
Noel	0.0590637
Zuckerman	0.0589883
sandy	0.0589564
Ken	0.0588656
Rosen	0.0586839
Tony	0.0586625
Johnson	0.0585919
Abdur-Rahim	0.0585573
Marvin	0.0585373
Hoffman	0.058459
Jon	0.0584554
McDonald	0.0584512
Goldberg	0.0584468
Knapp	0.0584342
Jeffrey	0.058164
Julian	0.0581164
Joel	0.0580763
Scottie	0.0580759
Garrett	0.0580178
Payne	0.0579835
Anderson	0.0578333
Westphal	0.0578027
timothy	0.057708
Phil	0.0576286
Hornacek	0.0576032
Goodman	0.0575827
Simon	0.057562
Rusty	0.0575432
Ramirez	0.0575125
Primeau	0.0573715
Ruggiero	0.0573513
Lynn	0.0572896
Ricky	0.0572425
Mack	0.0571479
Iverson	0.0571469
Barkley	0.057118
Burke	0.0571139
Louis	0.057006
Evan	0.056955
))
("Barry Bonds" (desc 9325.62) (sims
"Ellis Burks"	0.251634
"Jeff Kent"	0.236977
"Greg Vaughn"	0.212603
"Jose Canseco"	0.209324
"Ken Griffey Jr."	0.206189
"Glenallen Hill"	0.199568
"B.J Surhoff"	0.199204
"Juan Gonzalez"	0.195397
"Frank Thomas"	0.191039
"Dante Bichette"	0.188262
"Manny Ramirez"	0.18694
"Jeff Bagwell"	0.185239
"Tony Gwynn"	0.184936
"Bernie Williams"	0.184328
"Gary Sheffield"	0.184298
"Fred McGriff"	0.183328
"Bill Mueller"	0.182955
"Alex Rodriguez"	0.180028
"Carlos Delgado"	0.179348
"Jay Buhner"	0.17806
"Moises Alou"	0.177278
"Rickey Henderson"	0.176568
"Ken Caminiti"	0.176385
"Wade Boggs"	0.174361
"Andruw Jones"	0.173881
"Sammy Sosa"	0.172828
"Rafael Palmeiro"	0.172054
"Vladimir Guerrero"	0.171869
"Rondell White"	0.169194
"Albert Belle"	0.168438
"Cal Ripken"	0.168
"J.T Snow"	0.16793
"Jim Thome"	0.16784
"Nomar Garciaparra"	0.163339
"Marvin Benard"	0.16319
"John Olerud"	0.163131
"Charlie Hayes"	0.162548
"Bobby Estalella"	0.162469
"Mo Vaughn"	0.162344
"Chipper Jones"	0.161523
"Eric Owens"	0.160862
"Luis Gonzalez"	0.160566
"Mark McGwire"	0.159985
"Henry Rodriguez"	0.159433
"Mike Piazza"	0.159016
"Jay Bell"	0.15779
"Geoff Jenkins"	0.157074
"Troy Glaus"	0.15647
"Ken Griffey"	0.156045
"Rich Aurilia"	0.154836
"Stan Javier"	0.154213
"Edgar Martinez"	0.153733
"Larry Walker"	0.152556
"John Vander Wal"	0.15207
"Raul Mondesi"	0.151954
"Eric Karros"	0.151309
"Jose Guillen"	0.150503
"Garret Anderson"	0.150173
"Vinny Castilla"	0.150113
"Craig Biggio"	0.150105
Lankford	0.149541
"Brady Anderson"	0.148989
"Will Clark"	0.148759
"Shawn Green"	0.148087
"Scott Rolen"	0.147969
"Bruce Aven"	0.147626
"Javy Lopez"	0.145696
"Rusty Greer"	0.145544
"Edgardo Alfonzo"	0.145368
"Luis Polonia"	0.145132
"Lance Berkman"	0.144322
"Jim Edmonds"	0.144299
"Jeromy Burnitz"	0.142605
"Carlos Lee"	0.142427
Rolen	0.141999
"Travis Fryman"	0.141959
"Preston Wilson"	0.141938
McGriff	0.141593
"Cliff Floyd"	0.141539
"Dmitri Young"	0.140518
"Ryan Klesko"	0.140398
"Mark Kotsay"	0.140265
"Mike Sweeney"	0.13972
"Brian Jordan"	0.139661
"Matt Lawton"	0.139651
"Todd Hundley"	0.138501
"Jeffrey Hammonds"	0.13845
"Chili Davis"	0.138422
"Mark Grace"	0.138293
Karros	0.13777
"Matt Stairs"	0.136648
"Chad Curtis"	0.136589
"Johnny Damon"	0.136437
"Robin Ventura"	0.136021
"Matt Williams"	0.136016
"Barry Larkin"	0.135195
"Dean Palmer"	0.135013
"David Bell"	0.134912
Abreu	0.134159
"Roberto Alomar"	0.133532
"Paul Konerko"	0.133433
Aurilia	0.133148
"Gerald Williams"	0.133034
"Derek Bell"	0.132984
"Edgar Renteria"	0.132983
"Tino Martinez"	0.132825
"Brian Giles"	0.132781
"Kenny Lofton"	0.13258
"Jason Giambi"	0.132285
"Andres Galarraga"	0.131804
"Phil Nevin"	0.131243
"Cal Ripken Jr."	0.13122
Palmeiro	0.131048
Alfonzo	0.13098
"Paul O'Neill"	0.130907
"Quinton McCracken"	0.130708
"Benny Agbayani"	0.130143
"Ron Gant"	0.130054
"Mike Bordick"	0.130041
"Harold Baines"	0.129376
"Darin Erstad"	0.129272
"Brian Hunter"	0.129216
"Dave Martinez"	0.128898
"Jeff Cirillo"	0.128564
"Charles Johnson"	0.128493
"Tim Salmon"	0.128116
"Troy O'Leary"	0.12804
"Bill Spiers"	0.127917
"Todd Hollandsworth"	0.127341
"J.D Drew"	0.126353
"Jeff Conine"	0.126186
"Matt Luke"	0.12591
"Butch Huskey"	0.125838
"Alex Gonzalez"	0.125728
"Rob Ducey"	0.125623
"Chuck Knoblauch"	0.125511
"Damian Miller"	0.125509
"Bubba Trammell"	0.125338
"Ray Durham"	0.125216
"Al Martin"	0.125012
"Ray Lankford"	0.124944
"Scott Brosius"	0.124569
"Adrian Beltre"	0.124323
"Jon Nunnally"	0.124295
"Devon White"	0.12397
"Ivan Rodriguez"	0.123825
"Bobby Abreu"	0.123639
Olerud	0.123372
Canseco	0.123077
"Ben Grieve"	0.12295
"Richie Sexson"	0.122944
Giambi	0.12278
"David Segui"	0.122385
"Eric Davis"	0.121952
"Shannon Stewart"	0.121188
Fullmer	0.120569
"Todd Helton"	0.120277
"Magglio Ordonez"	0.119959
"Rich Becker"	0.119655
"F.P Santangelo"	0.119634
"Tony Batista"	0.119268
"Scott Spiezio"	0.119228
"Danny Bautista"	0.118831
"Quilvio Veras"	0.118718
Bagwell	0.118484
"Todd Zeile"	0.118366
"Kirk Gibson"	0.118034
"Wally Joyner"	0.117302
"Mike Lieberthal"	0.117284
"Jason Kendall"	0.117153
"Bobby Higginson"	0.11711
"Darren Lewis"	0.116987
"Jorge Posada"	0.116887
"Richard Hidalgo"	0.116578
"Russ Davis"	0.116236
"Orlando Palmeiro"	0.115985
"Steve Finley"	0.115838
Sexson	0.115812
Erstad	0.115801
"Mark McLemore"	0.115769
"Neifi Perez"	0.115289
Bichette	0.114095
"Joe Carter"	0.113683
Vidro	0.113572
Vaughn	0.113546
"Sean Casey"	0.113444
"Darryl Strawberry"	0.113442
"Derek Jeter"	0.113339
"Mike Stanley"	0.113194
"Kelly Stinnett"	0.113184
"Todd Pratt"	0.113097
"Brant Brown"	0.112535
"Delino DeShields"	0.112359
"Mike Cameron"	0.111958
"Doug Glanville"	0.111893
"Ruben Rivera"	0.111889
"Reggie Sanders"	0.111152
"Carl Everett"	0.111133
"Darryl Hamilton"	0.110978
"Jason Varitek"	0.110745
Higginson	0.11066
"Raul Ibanez"	0.109463
"Darren Bragg"	0.109182
"Chris Widger"	0.109026
"Marquis Grissom"	0.108896
Burnitz	0.108867
Garciaparra	0.108416
"Ricky Ledee"	0.108382
Nevin	0.108181
"Bret Boone"	0.108068
"Damian Jackson"	0.107702
"Derrek Lee"	0.107585
"Jose Valentin"	0.107414
"Matt Franco"	0.107407
"Jose Hernandez"	0.107179
"Tony Eusebio"	0.106956
"Bobby Bonilla"	0.10692
"Bernard Gilkey"	0.10688
Bordick	0.106825
"Juan Encarnacion"	0.106825
"John Mabry"	0.106711
"Eddie Taubensee"	0.106668
"John Valentin"	0.106666
"Jose Cruz Jr."	0.106665
Griffey	0.106403
"Jose Vidro"	0.106199
"Pat Burrell"	0.106046
"Carlos Beltran"	0.105961
"Dave Hansen"	0.105832
"Kevin Young"	0.105595
"Roger Cedeno"	0.105593
"Lenny Harris"	0.10548
"Mickey Morandini"	0.105186
"CARLOS HERNANDEZ"	0.104986
"Damon Buford"	0.104975
McGwire	0.104488
Sosa	0.104377
"Robb Nen"	0.104262
"Mark Loretta"	0.104128
"Damion Easley"	0.104127
"Russ Ortiz"	0.104061
"Adam Kennedy"	0.103765
"Ron Coomer"	0.103637
"David Dellucci"	0.10363
"Jose Offerman"	0.103515
"Jay Payton"	0.102638
"Hank Aaron"	0.102443
"GERONIMO BERROA"	0.102125
Cirillo	0.101941
Gant	0.101701
"Kevin Stocker"	0.101302
"Joe Randa"	0.101223
Castilla	0.10093
Rodriguez	0.100891
"Michael Tucker"	0.100853
Brosius	0.100753
))
("Barry Diller" (desc 3456.41) (sims
"Sumner Redstone"	0.205552
"Jeffrey Katzenberg"	0.203118
"Michael Eisner"	0.201644
"Gerald Levin"	0.18877
Diller	0.188315
"Michael Dell"	0.175468
"Rupert Murdoch"	0.170729
"John Malone"	0.170357
"David Geffen"	0.167043
"Tom Johnson"	0.16291
"Jack Welch"	0.156857
"Mel Karmazin"	0.156175
"Michael Ovitz"	0.14632
"Tony Coelho"	0.143019
"M. Douglas Ivester"	0.140691
"Richard Branson"	0.140672
"Edgar Bronfman Jr."	0.140055
"James Barksdale"	0.136018
"Steve Case"	0.135272
"Eli Broad"	0.129746
"Vladimir Gusinsky"	0.128753
"Harvey Weinstein"	0.121067
"Jim Nicholson"	0.118069
"Silvio Berlusconi"	0.114508
"Jerry Reinsdorf"	0.112271
"Scott McNealy"	0.111121
"Nur Misuari"	0.109946
"Gianni Agnelli"	0.105117
"Arthur Levitt"	0.103694
"Lucio Tan"	0.103679
"John Browne"	0.102646
"Bill Gates"	0.102404
"USA Networks"	0.100216
"Larry Ellison"	0.0995249
"Ted Turner"	0.0993837
"Tom Welch"	0.0993062
"John Shalikashvili"	0.0977039
"Charles Dolan"	0.0945969
"Yegor Stroyev"	0.0934205
R-Del.	0.0932013
"Jack Gargan"	0.0931755
"Oskar Lafontaine"	0.0929061
"Ed Roski"	0.0897981
"Viacom Inc."	0.0893123
"Billy Payne"	0.0892676
"Jack Smith"	0.0891098
"Richard Butler"	0.0876674
"Mark Cuban"	0.0867446
"Roy Romer"	0.0862404
"Michel Camdessus"	0.0859472
"Frank Stronach"	0.0842385
"Bruton Smith"	0.0840239
"Julian Bond"	0.0836264
"Wang Daohan"	0.083456
"Ronald Perelman"	0.0833106
"Yossi Sarid"	0.0831153
"Steven Spielberg"	0.0823799
"Hans Blix"	0.0818582
"Rolf Ekeus"	0.0817745
"Marzuki Darusman"	0.0812707
"Steve Ballmer"	0.0811752
"Jerry Colangelo"	0.0811697
"Gannett Co."	0.080552
"Edmund Ho Hau Wah"	0.0796314
"Vince McMahon"	0.0795559
Joklik	0.078545
"Daniel Snyder"	0.0781186
"Home Shopping Network"	0.0780551
"Bob Daly"	0.0778164
"Jeff Bezos"	0.0774639
"Martin Lee"	0.076874
R-Alaska	0.0766626
"Bill Archer"	0.0765764
"Martin Frost"	0.0758628
"Bernie Ecclestone"	0.0758139
"Richie Phillips"	0.0758
"Jack Valenti"	0.0751854
"Terry McAuliffe"	0.0738176
Naumann	0.0735264
R-Wis.	0.0734637
R-N.M.	0.0732099
"Rod Thorn"	0.0723499
"Bob McNair"	0.0722734
"Cyril Ramaphosa"	0.0719765
"Lamar Smith"	0.0715768
"Walt Disney Co."	0.0714686
"Dick Pound"	0.0711326
"Henry H. Shelton"	0.0707032
"Ted Stevens"	0.0703066
"Hugh Shelton"	0.0698679
"Frank Joklik"	0.0698597
"Vladimiro Montesinos"	0.0687121
"Robert Johnson"	0.0683272
"Gene Sperling"	0.0683208
"Robert Aventajado"	0.0680914
Viacom	0.067781
"Boris Berezovsky"	0.0675588
"Tom Hicks"	0.0675557
"Archbishop Desmond Tutu"	0.0672976
"Time Warner Inc."	0.0669156
"Sony Corp."	0.0668291
"Amien Rais"	0.0668261
"Than Shwe"	0.0665594
"Tung Chee Hwa"	0.0660576
"Paul Allen"	0.0658994
"Seagram Co."	0.0656034
"William Roth"	0.0649757
"Megawati Soekarnoputri"	0.0648621
"George Mitchell"	0.0647288
"Charles LaBella"	0.0645286
"Jerry Buss"	0.0643643
"News Corp."	0.064102
R-N.C.	0.0639787
"Howard Milstein"	0.0638833
"Hashim Thaci"	0.0638043
"William Daley"	0.0637707
"Alan Greenspan"	0.0635046
"John Boehner"	0.0633704
"Alija Izetbegovic"	0.0631191
"Pete Domenici"	0.0630608
R-Va.	0.0630043
"Dan Burton"	0.0629826
"Chea Sim"	0.0629586
R-Utah	0.0629497
Harmoko	0.0629152
"Mitt Romney"	0.0625298
"Jonas Savimbi"	0.062404
"Joel Klein"	0.0623775
R-Iowa	0.061712
"John Kelly"	0.0612913
"Henry Shelton"	0.0610746
"Tom Davis"	0.0608103
"Boris Fyodorov"	0.0607695
"Mikulas Dzurinda"	0.0607029
"Wolfgang Schaeuble"	0.0606799
R-La.	0.0606507
D-S.C.	0.0604712
"J.C. Watts"	0.0604603
R-Ohio	0.0603752
"Orrin Hatch"	0.0602696
R-Vt.	0.0602104
"Norman Lear"	0.0599912
"Bertelsmann AG"	0.0598607
"Hearst Corp."	0.0594717
"John Harrington"	0.0592773
Murdoch	0.0592194
"Koo Chen-fu"	0.0590474
"Warren Buffett"	0.0588989
Ballmer	0.0588466
"Benjamin Gilman"	0.0587891
Ka-shing	0.0587852
Misuari	0.0586761
"Tina Brown"	0.0585205
"Donald Trump"	0.0585186
R-Ind.	0.0585136
"Tommy Thompson"	0.0584208
"Carter Eskew"	0.0583734
"Richard Shelby"	0.058259
"Ronnie Flanagan"	0.0581831
"Craig McCaw"	0.0580279
"Steve Jobs"	0.0578607
"Anatoly Chubais"	0.0578588
"Federated Department Stores"	0.057758
"Ray Evernham"	0.0575853
"Klaus Naumann"	0.0572726
"Qiao Shi"	0.0569313
"George Speight"	0.0569189
"Softbank Corp."	0.0566486
"Craig Barrett"	0.0565733
"Jacques Rogge"	0.0565162
Zarb	0.0564236
Catacosinos	0.0563329
"Knight Ridder"	0.055832
BMG	0.0558143
"Henry Hyde"	0.0557138
R-Ala.	0.0555562
R-Mich.	0.0551564
"Desmond Tutu"	0.0550741
"Dan Meridor"	0.0547806
R-Kan.	0.0546164
"Jesse Helms"	0.0545846
Karmazin	0.054126
"Billy Hunter"	0.053961
"Li Ruihuan"	0.053715
"Joerg Haider"	0.0536298
Gates	0.0536056
"Christopher Cox"	0.0535078
Katzenberg	0.0532345
R-N.H.	0.0531047
Primedia	0.0530616
"Robert Rubin"	0.0527928
"Porter Goss"	0.0527599
women	0.0525566
Ticketmaster	0.0523357
R-Ky.	0.0522049
Bertelsmann	0.0520452
"Peter Angelos"	0.0519967
"William Walker"	0.0519611
"Gennady Seleznyov"	0.0518851
"John Koskinen"	0.0518025
))
("Barry Goldwater" (desc 4455.58) (sims
"George McGovern"	0.216982
"Bob Dole"	0.152873
"Lloyd Bentsen"	0.149676
"Hubert Humphrey"	0.145988
"Jon Kyl"	0.13778
"Michael Dukakis"	0.132331
"Geraldine Ferraro"	0.132278
"Francisco Labastida Ochoa"	0.130948
"Robert F. Kennedy"	0.130731
"Matt Salmon"	0.126141
"Dan Lungren"	0.122965
"Gary Hart"	0.120995
"Paul Tsongas"	0.12009
"Jim Kolbe"	0.119284
"Patrick Buchanan"	0.11831
"Jack Kemp"	0.116786
"Lawton Chiles"	0.1159
"Dan Coats"	0.109981
"Francisco Labastida"	0.109467
"Howard Baker"	0.109209
"Charles Schumer"	0.108874
Goldwater	0.107513
"Paul Coverdell"	0.107171
"John McCain"	0.106948
"Jerry Brown"	0.105978
"Garry Mauro"	0.105738
"Pat Buchanan"	0.105417
"Dick Cheney"	0.105244
"Joe Lieberman"	0.104329
"Bob Franks"	0.104157
"Joseph I. Lieberman"	0.103001
"Ross Perot"	0.102525
"Vojislav Kostunica"	0.101344
"George Bush"	0.101343
"Buddy MacKay"	0.10122
"Vicente Fox Quesada"	0.100849
"Cuauhtemoc Cardenas"	0.100055
"Jimmy Carter"	0.0999854
"Bill Bradley"	0.0997141
"Dale Bumpers"	0.0992867
"John F. Kennedy"	0.0992784
"Rick Lazio"	0.0992042
"Ralph Nader"	0.0988564
"Walter Mondale"	0.0986075
"Linda Smith"	0.0984362
"Dwight Eisenhower"	0.0978284
"Steve Forbes"	0.0977995
"Orrin Hatch"	0.0974501
"Warren Rudman"	0.0967801
"Sam Nunn"	0.0962347
"Lauch Faircloth"	0.096188
"Adlai Stevenson"	0.0948059
"Scott Harshbarger"	0.0939343
"Joseph McCarthy"	0.0933571
"Matt Fong"	0.0924192
"Guy Millner"	0.0921456
"Joseph Lieberman"	0.0918031
"John Ashcroft"	0.091646
"Strom Thurmond"	0.0897269
"Betsy McCaughey Ross"	0.0894641
"Connie Mack"	0.0894242
"Dianne Feinstein"	0.0884831
"King Hassan"	0.0879623
"Elizabeth Dole"	0.0875247
"John Chafee"	0.087396
"George Wallace"	0.0873608
Ashcroft	0.0872539
"King Hassan II"	0.0867157
"John Danforth"	0.0864877
"Alejandro Toledo"	0.0862277
"Yitzhak Mordechai"	0.0858625
"John Connally"	0.0857557
"Gerald Ford"	0.0854972
"Lamar Alexander"	0.0845291
"Kit Bond"	0.0845148
"Jon Corzine"	0.0843927
"Richard Lugar"	0.0837631
"Russell Feingold"	0.083519
Gramm	0.0828992
"Gary Bauer"	0.0828418
"Barbara Boxer"	0.0822532
"Charles E. Schumer"	0.0821811
"David Duke"	0.082118
"Thad Cochran"	0.0819034
"Evan Bayh"	0.081857
Nateq-Nouri	0.0818134
"Joseph Biden"	0.0817681
"William Weld"	0.0816842
"Jim Florio"	0.0816798
"Rick Santorum"	0.0816656
"George Mitchell"	0.0812517
"Alan Keyes"	0.081071
"Robert Bork"	0.0808032
"John Hagelin"	0.0804645
"Ronald Reagan"	0.0798446
"Kay Bailey Hutchison"	0.0792884
"Phil Gramm"	0.0783563
"Richard Nixon"	0.0780004
"Mikhail Gorbachev"	0.0778631
"Chuck Schumer"	0.0775976
"Zell Miller"	0.0773152
Quayle	0.0769351
"Mike DeWine"	0.0768357
"Peter Fitzgerald"	0.0765121
"Frank Lautenberg"	0.0764989
"John Kennedy"	0.076211
DOLE	0.0760498
"John Edwards"	0.0759772
"Bob Graham"	0.0759009
Hagelin	0.0758209
"Herbert Hoover"	0.0755951
Humphrey	0.0755421
"Gennady Zyuganov"	0.0751028
"Lyndon Johnson"	0.0747241
"Olympia J. Snowe"	0.0744169
"Ricardo Lagos"	0.0743735
"Pete Domenici"	0.0742793
"Megawati Sukarnoputri"	0.0737047
"Shimon Peres"	0.0736832
Lieberman	0.0736695
"Hillary Clinton"	0.0736639
"Edward M. Kennedy"	0.0733666
"George Voinovich"	0.0731671
"Herb Kohl"	0.0728484
Chafee	0.072822
Shui-bian	0.0727318
"Clint Reilly"	0.0725392
"Al Gore"	0.0725086
"Daniel Patrick Moynihan"	0.072369
"Dwight D. Eisenhower"	0.0720227
Perot	0.0719705
"John Warner"	0.0714597
"James Soong"	0.0713909
Blackmun	0.0713218
"Michael Kennedy"	0.0711211
"Judd Gregg"	0.071067
"Vicente Fox"	0.0709376
"Gray Davis"	0.0708376
"Bob Smith"	0.0708134
"Tim Hutchinson"	0.0706287
"Max Baucus"	0.0701931
"Arlen Specter"	0.0699856
"Slade Gorton"	0.0698759
Balaguer	0.0698519
"Paul Wellstone"	0.0698056
"Robert Torricelli"	0.0697806
"Russ Feingold"	0.0695667
Koch-Weser	0.0694648
"Jeb Bush"	0.0693211
"Al D'Amato"	0.0692621
"Peter Vallone"	0.0688346
Megawati	0.0685608
"Olympia Snowe"	0.0683865
"Carl Levin"	0.068343
"James Jeffords"	0.0681527
"Rolf Ekeus"	0.0679707
"Robert Byrd"	0.0679455
"John Glenn"	0.0678086
"Conrad Burns"	0.067754
Lungren	0.0676851
Moseley-Braun	0.0675991
"Dan Quayle"	0.0673854
"Susan Collins"	0.0671872
Ammiano	0.0671396
"Bob Bullock"	0.0668631
"Spencer Abraham"	0.0668185
"Florence Griffith Joyner"	0.0666634
"Mitch McConnell"	0.0666049
"Sonny Bono"	0.0664575
"Jim Jeffords"	0.066346
"Hillary Rodham Clinton"	0.0661598
"Robert C. Byrd"	0.0661518
"Christopher Dodd"	0.0661048
"Robert Kennedy"	0.0659167
"Ted Stevens"	0.0656055
"Ted Kennedy"	0.0655407
"Sam Brownback"	0.0652772
"Richard Bryan"	0.065165
"President Lee Teng-hui"	0.0650687
Labastida	0.0650119
"Roy Barnes"	0.0649316
"Edward Kennedy"	0.064601
Cardenas	0.0645648
"Larry Craig"	0.0645317
"Patty Murray"	0.0644777
"Tom Harkin"	0.0639451
"Bob Kerrey"	0.0639096
Vallone	0.0638914
"Paul Simon"	0.0638413
"Jesse Helms"	0.0638307
"Tim Johnson"	0.0637875
Papandreou	0.0635726
Nader	0.0635244
Aristide	0.0631148
"Margaret Thatcher"	0.0630231
"Pat Roberts"	0.0629634
Paez	0.0627286
"Richard Shelby"	0.0627104
"Republican George W. Bush"	0.0627058
"Robert Bennett"	0.0626519
))
("Barry Larkin" (desc 6318.26) (sims
"Dmitri Young"	0.298507
"Sean Casey"	0.261305
"Eddie Taubensee"	0.244172
"Pokey Reese"	0.241484
"Aaron Boone"	0.218035
"Jeffrey Hammonds"	0.210048
Larkin	0.203628
"Damian Jackson"	0.200246
"Willie Greene"	0.189728
Vidro	0.188522
"Dante Bichette"	0.187999
"Alex Rodriguez"	0.185818
"Alex Gonzalez"	0.183524
"Marvin Benard"	0.179621
"Walt Weiss"	0.172652
"Mark Loretta"	0.172444
"Mike Bordick"	0.169518
"Paul Konerko"	0.166565
"Jose Hernandez"	0.166089
"Robin Ventura"	0.166029
"Michael Tucker"	0.165354
"Reggie Sanders"	0.164996
Rolen	0.164189
"Bret Boone"	0.163323
"Deivi Cruz"	0.162402
"Eric Owens"	0.162313
"Troy Glaus"	0.161138
"Phil Nevin"	0.160594
"Bill Mueller"	0.160269
"Tony Batista"	0.159059
"Jeff Bagwell"	0.157966
"Edgardo Alfonzo"	0.154959
"Ozzie Guillen"	0.154526
"Scott Rolen"	0.154026
"Tim Bogar"	0.153927
"Nomar Garciaparra"	0.153416
"Jeff Conine"	0.152514
"Jose Valentin"	0.152224
"Javy Lopez"	0.152159
"Russ Johnson"	0.152098
"Pat Meares"	0.151104
"Matt Williams"	0.150954
"Chris Gomez"	0.150439
"Rey Ordonez"	0.149956
"Rondell White"	0.14944
"Neifi Perez"	0.149328
"Mark Kotsay"	0.148634
"Mike Cameron"	0.147499
"Matt Lawton"	0.14744
"Greg Vaughn"	0.147223
"Jay Bell"	0.146614
Lankford	0.146505
"Brian Johnson"	0.145715
"Kenny Lofton"	0.145647
Dunston	0.144683
"Derek Jeter"	0.143548
"Harold Baines"	0.143132
"Chipper Jones"	0.142744
"David Bell"	0.14262
"Mark Grudzielanek"	0.142595
Giambi	0.142186
"Cristian Guzman"	0.141505
"Quilvio Veras"	0.141414
"Ron Gant"	0.141377
"Tony Womack"	0.141119
"Craig Biggio"	0.140586
"Andruw Jones"	0.140334
"John Vander Wal"	0.140249
"Andy Fox"	0.14007
"Rich Aurilia"	0.139779
"Warren Morris"	0.139231
"Ken Griffey Jr."	0.139147
"Gerald Williams"	0.139107
"Omar Vizquel"	0.138429
"Bobby Higginson"	0.13826
"Joe Randa"	0.138236
Renteria	0.137919
"B.J Surhoff"	0.137635
"Ray Lankford"	0.13708
"Jim Edmonds"	0.136834
"Ryan Klesko"	0.136674
"Barry Bonds"	0.135195
"Mike Lansing"	0.135122
"Luis Lopez"	0.135061
"Kevin Elster"	0.134799
"Travis Lee"	0.134669
"Jeff Cirillo"	0.134558
"Miguel Tejada"	0.134517
"Desi Relaford"	0.134286
"Wally Joyner"	0.134123
Fullmer	0.134082
"Luis Gonzalez"	0.133838
"Rafael Palmeiro"	0.133819
"Fred McGriff"	0.133476
"Travis Fryman"	0.133322
"Tony Gwynn"	0.132943
Alfonzo	0.132607
"David Ortiz"	0.13227
Aurilia	0.132267
"Ricky Gutierrez"	0.132223
"Damian Miller"	0.131742
"Randy Velarde"	0.13166
"Bernard Gilkey"	0.131579
"Cal Ripken"	0.131547
"Jon Nunnally"	0.131483
"Scott Spiezio"	0.131261
"Preston Wilson"	0.131225
"Lenny Harris"	0.130942
"Eric Karros"	0.130853
McGriff	0.130456
"Jim Thome"	0.130158
"John Mabry"	0.130114
"Marquis Grissom"	0.129654
"Derrek Lee"	0.129485
"Butch Huskey"	0.129014
"John Valentin"	0.1289
"Jose Canseco"	0.128645
"Benny Agbayani"	0.128307
"Ron Coomer"	0.128044
"Todd Helton"	0.127673
"Luis Alicea"	0.127401
Cirillo	0.127322
Spiers	0.127238
"Manny Alexander"	0.126613
"Todd Hundley"	0.126523
"Luis Sojo"	0.126308
"Vladimir Guerrero"	0.126012
"Todd Walker"	0.125708
"Shawn Green"	0.12565
"Dave Hansen"	0.125221
Vizquel	0.124956
"Scott Brosius"	0.124948
"Carlos Lee"	0.124936
Bordick	0.124719
"Matt Franco"	0.124656
"Bernie Williams"	0.12448
"Bobby Abreu"	0.124396
Alomar	0.124392
"Matt Stairs"	0.123796
"Brian Jordan"	0.122985
"Eric Young"	0.122919
"Corey Koskie"	0.122691
"Gary DiSarcina"	0.122665
"Edgar Renteria"	0.122647
"Carlos Beltran"	0.122545
"Bruce Aven"	0.12186
"Larry Walker"	0.121802
"Ken Caminiti"	0.121418
Taubensee	0.121278
"Jason Giambi"	0.120993
"Kelly Stinnett"	0.12093
"Steve Finley"	0.120709
Sexson	0.120654
"Fernando Vina"	0.120507
Higginson	0.120024
"Derek Bell"	0.11992
"Mike Piazza"	0.119242
"Jason Kendall"	0.119177
Bagwell	0.119106
Abreu	0.118934
"Jay Buhner"	0.118853
"Paul Bako"	0.118429
"Melvin Mora"	0.118423
"Edgar Martinez"	0.118283
"Craig Counsell"	0.118169
"Gary Sheffield"	0.118137
"Carlos Delgado"	0.118092
"Mike Lieberthal"	0.117493
"Rey Sanchez"	0.117409
"Chris Widger"	0.117289
"Glenallen Hill"	0.117225
"Devon White"	0.11721
"John Olerud"	0.1172
"Kevin Young"	0.117013
"Royce Clayton"	0.116538
"Bill Spiers"	0.116411
"Todd Zeile"	0.116234
"Benji Gil"	0.116202
"Mike Sweeney"	0.116119
"Jeromy Burnitz"	0.115976
"Brian Giles"	0.115754
"Mike Lowell"	0.115674
Klesko	0.115654
"Tino Martinez"	0.115598
"Charlie Hayes"	0.115512
"Brian Hunter"	0.115488
Zeile	0.115304
"Jeff Huson"	0.115302
Glaus	0.114905
"Russ Davis"	0.114746
Biggio	0.114653
"David Segui"	0.11463
"Geoff Jenkins"	0.114572
"Todd Pratt"	0.11376
"Andres Galarraga"	0.113743
"Keith Lockhart"	0.113641
"Kevin Stocker"	0.113462
"Sammy Sosa"	0.113273
"Jose Vizcaino"	0.113041
Valentin	0.112872
"Richard Hidalgo"	0.112834
"Jose Guillen"	0.11258
"Moises Alou"	0.11253
"Roberto Alomar"	0.11243
"J.T Snow"	0.112375
"Albert Belle"	0.112161
"Doug Glanville"	0.112119
"Johnny Damon"	0.112042
"Ray Durham"	0.112041
"Rickey Henderson"	0.111887
"Darin Erstad"	0.111612
Bichette	0.111434
"Adam Kennedy"	0.111402
"Bubba Trammell"	0.111283
"Dean Palmer"	0.111192
"Mickey Morandini"	0.110998
"Enrique Wilson"	0.110855
"Will Clark"	0.110827
"Joe McEwing"	0.110698
Ordonez	0.110541
Lieberthal	0.110496
"Adrian Beltre"	0.110164
Rodriguez	0.110074
Cedeno	0.10998
"Brian McRae"	0.109947
"Raul Mondesi"	0.109944
"Tim Salmon"	0.109732
"Darren Lewis"	0.109688
"Tom Goodwin"	0.109654
Olerud	0.109578
"Mo Vaughn"	0.109291
"Tony Eusebio"	0.109205
DeShields	0.109133
Lofton	0.108896
Erstad	0.108802
Griffey	0.108777
"Manny Ramirez"	0.108721
"Jeff Kent"	0.108438
"Luis Castillo"	0.108245
McLemore	0.108202
Burnitz	0.108183
"Orlando Palmeiro"	0.108071
"Vinny Castilla"	0.108022
"Brady Anderson"	0.107971
"Danny Bautista"	0.107933
"Frank Thomas"	0.107768
"Jay Payton"	0.107746
Bautista	0.107648
Karros	0.107472
"Clay Bellinger"	0.107033
Jeter	0.107025
"Jason Varitek"	0.106989
"Garret Anderson"	0.106784
"Troy O'Leary"	0.106687
Fryman	0.106199
"Brett Tomko"	0.106101
"Eric Chavez"	0.106002
"Jose Offerman"	0.105704
"Lee Stevens"	0.105606
Elster	0.105606
Velarde	0.105308
"Rich Becker"	0.10526
Palmeiro	0.105153
"Damon Buford"	0.104926
"Henry Rodriguez"	0.104852
"J.D Drew"	0.104114
"Bengie Molina"	0.104051
"Carl Everett"	0.103882
"Ivan Rodriguez"	0.103423
Beltran	0.103406
"Tony Graffanino"	0.103366
Merloni	0.10335
Hollins	0.103284
"Delino DeShields"	0.103227
"Cal Ripken Jr."	0.10277
"Joey Cora"	0.102234
"Jose Vidro"	0.102046
Surhoff	0.102035
"Roger Cedeno"	0.101958
"Bobby Bonilla"	0.101876
Veras	0.101854
"Mike Lamb"	0.101767
Randa	0.10169
"Kurt Abbott"	0.101662
Catalanotto	0.101567
"Quinton McCracken"	0.101458
Grudzielanek	0.101006
Frye	0.100911
Womack	0.100876
"Mike Stanley"	0.100783
Konerko	0.100641
"Mark Grace"	0.100587
Nevin	0.100366
"Dan Wilson"	0.100188
Brosius	0.100055
))
("Barry Levinson" (desc 1733.38) (sims
"Steven Soderbergh"	0.207962
"Neil LaBute"	0.201451
"Francis Ford Coppola"	0.184184
"Oliver Stone"	0.182865
"Nora Ephron"	0.182405
"David Lynch"	0.175588
"John Waters"	0.172522
"Tim Burton"	0.167679
"Pedro Almodovar"	0.156308
"Robert Altman"	0.15261
"Paul Schrader"	0.145502
"Stanley Kubrick"	0.143843
"Terrence Malick"	0.141523
"Wes Craven"	0.139228
"Spike Lee"	0.139099
"Ron Howard"	0.138107
"Rob Reiner"	0.136519
"Sam Mendes"	0.131085
"James Cameron"	0.129574
"Jonathan Demme"	0.127173
"Roberto Benigni"	0.122657
"George Lucas"	0.121862
"Steven Spielberg"	0.120465
"Quentin Tarantino"	0.116281
"David Mamet"	0.115955
"Julie Taymor"	0.110384
"Tim Robbins"	0.108701
"Woody Allen"	0.102761
"Kevin Williamson"	0.0994925
LaBute	0.0972053
"Mike Nichols"	0.0927538
"Martin Scorsese"	0.0904882
"Kevin Smith"	0.0845396
"Akira Kurosawa"	0.0843891
Sayles	0.0811901
"Jerry Bruckheimer"	0.0790438
"Steven Bochco"	0.0783351
Boorman	0.0781188
"John Ford"	0.0756029
"Louis Freeh"	0.0738438
"Billy Wilder"	0.0736436
"John Madden"	0.0728606
"David E. Kelley"	0.0710855
"Alfred Hitchcock"	0.0709514
"Clint Eastwood"	0.0689384
"George Tenet"	0.0661023
"Kevin Costner"	0.0645658
"Ingmar Bergman"	0.0644549
"Richard Gere"	0.0614076
"John Huston"	0.061394
"John Wells"	0.0610146
"Xie Zhenhua"	0.0597375
MALICK	0.0597132
"Elia Kazan"	0.0596186
"Stanley Tucci"	0.0594516
"Warren Beatty"	0.0591594
"Aaron Spelling"	0.0588826
Szabo	0.0585605
"April Oliver"	0.0585162
"Norman Lear"	0.0582542
"Dennis Hopper"	0.0580039
"Van Sant"	0.0579603
"John Weaver"	0.0571121
"George Clooney"	0.0561976
Mae	0.0561725
Wiseman	0.0554134
"Frank Capra"	0.0550937
"Jeremy Irons"	0.0537657
Sandler	0.0533683
"Robert Wilson"	0.0533322
Miyazaki	0.0531921
"Michael Moore"	0.0524729
"Wesley Snipes"	0.0524403
"Michael Douglas"	0.0521017
gimmickry	0.05194
"John Browne"	0.0515653
Altman	0.0513965
"Aaron Sorkin"	0.0513936
"KEN BURNS"	0.0507901
Eliza	0.0507209
MAMET	0.0500818
"Billy Bob Thornton"	0.049305
"Kenneth Branagh"	0.0492541
"Jack Smith"	0.049097
"Adam Sandler"	0.0489922
Almodovar	0.0486635
"J. Edgar Hoover"	0.0480491
Wayans	0.0479566
"Frances McDormand"	0.0475113
"Edie Falco"	0.0471358
Eastwood	0.0465216
"Nicolas Cage"	0.0461692
"Chris Smith"	0.0457191
"Indiana Jones"	0.045368
"Bobby Grier"	0.0446679
"Jim Carrey"	0.0443099
"Quincy Jones"	0.0440046
Dench	0.0439748
"Billy Hunter"	0.0432189
"Denzel Washington"	0.0431097
Winkler	0.0431051
"Jackie Chan"	0.0422618
Frankenheimer	0.0421489
Travolta	0.0420429
"George Miller"	0.0420271
Zapruder	0.0418034
"Tom Hanks"	0.0416265
"Kim Basinger"	0.0416078
"Cuba Gooding Jr."	0.0412708
"Jeffrey Katzenberg"	0.0409613
"Dan Schnur"	0.0408391
Hazelwood	0.0403369
Pixar	0.0402754
))
("Barry McCaffrey" (desc 4604.63) (sims
"Barry R. McCaffrey"	0.403815
"Gene Sperling"	0.211512
"Lino Oviedo"	0.206329
"George Tenet"	0.202629
"John Weaver"	0.198143
"Joel Klein"	0.188626
McCaffrey	0.180367
"Xie Zhenhua"	0.177767
"John Koskinen"	0.177554
"Pervaiz Musharraf"	0.173544
"Karen Hughes"	0.167242
"Alexander Lebed"	0.155045
"John Shalikashvili"	0.154924
"Xiong Guangkai"	0.150982
"Louis Freeh"	0.148766
"Renato Ruggiero"	0.144753
"Ansumane Mane"	0.143869
"Hans von Sponeck"	0.142869
"Bruce Teitelbaum"	0.142597
"Charles LaBella"	0.141375
"Shaul Mofaz"	0.139849
"Salim Saleh"	0.135593
"Klaus Naumann"	0.135139
"Ray Evernham"	0.134895
"Boris Fyodorov"	0.132412
"Rahm Emanuel"	0.131083
"Michel Camdessus"	0.128455
"Norman Schwarzkopf"	0.127929
"Henry Shelton"	0.127206
"Dan Schnur"	0.127097
Prewitt	0.126726
"Ronnie Flanagan"	0.126646
"Maung Aye"	0.124534
"Carol Bellamy"	0.124377
"Wesley Clark"	0.122508
"Pervez Musharraf"	0.121229
"David Bar-Illan"	0.121219
"Vladimiro Montesinos"	0.119632
"William Perry"	0.119264
"Ralph Reed"	0.117924
"Samuel Berger"	0.117879
"Xanana Gusmao"	0.117441
"Danny Yatom"	0.11713
"Vladimir Yakovlev"	0.115804
"Billy Payne"	0.114765
"William Daley"	0.113582
"Warren Christopher"	0.113217
"Anatoly Chubais"	0.113045
"Robert Guei"	0.112778
"Hans Blix"	0.112209
Wiranto	0.111991
Ruehe	0.11152
"Oladipo Diya"	0.110378
"Ramsey Clark"	0.109969
"Jaswant Singh"	0.109469
"National Security Adviser Sandy Berger"	0.107801
"Lawrence Summers"	0.107771
"Bill Lockyer"	0.107053
"Hugh Shelton"	0.106774
"William Bennett"	0.106578
"Billy Hunter"	0.106456
"Dore Gold"	0.105814
"Fu Quanyou"	0.105611
"Ahmed Tibi"	0.105325
"Jack Valenti"	0.102087
"Zhou Nan"	0.102031
"Khin Nyunt"	0.101772
"George Robertson"	0.101559
"Mike Moore"	0.101164
"Paul Begala"	0.100571
"Richard Riley"	0.100033
"Sandy Berger"	0.10003
"Dai Bingguo"	0.0991222
"Bill Lann Lee"	0.0974713
"Bernie Ecclestone"	0.0972711
"Alexis Herman"	0.096995
"Stanley Fischer"	0.096856
"Condoleezza Rice"	0.0963882
"drug czar"	0.0958722
"Sadako Ogata"	0.0958538
"George Stephanopoulos"	0.0952621
"Gro Harlem Brundtland"	0.094941
"John Browne"	0.0948135
"Abdulsalami Abubakar"	0.0947944
"Hashim Thaci"	0.0946577
"Shelly Finkel"	0.0943179
"Colin Campbell"	0.0941673
"Wim Duisenberg"	0.0941402
"William S. Cohen"	0.0935736
"Tin Oo"	0.0931516
"Eisuke Sakakibara"	0.0930935
"William Cohen"	0.0924781
"Koichi Kato"	0.0913598
"Ratko Mladic"	0.0910109
"Henry H. Shelton"	0.09101
Zeng	0.0909535
Abubakar	0.0906386
Insulza	0.0900979
"Tom Welch"	0.0900456
"Robert Rubin"	0.089907
"Saeb Erekat"	0.0898576
"Javier Solana"	0.0895946
"Richie Phillips"	0.0895293
"Abu Mazen"	0.0893096
"Eric Holder"	0.0876407
"Colin Powell"	0.0871302
Freeh	0.0868414
"Sam Mendes"	0.0864619
"Brent Scowcroft"	0.0864068
Zhirinovsky	0.0857535
Hybl	0.085669
"Harold Ickes"	0.0854744
"Secretary General Esmat Abdul-Meguid"	0.0853437
Meissner	0.0853226
"Olusegun Obasanjo"	0.0852528
"Richard Butler"	0.0847866
Rossotti	0.0846642
"Abdulsalam Abubakar"	0.0844067
"Rodney Slater"	0.0842933
LeBlanc	0.0838684
"Bernard Kouchner"	0.0838635
"Faisal Husseini"	0.0834058
"David Hale"	0.0832837
"Dan Glickman"	0.0831978
Eizenstat	0.0825955
"Karl Rove"	0.0824885
Naumann	0.0812303
wen	0.0811982
"Rolf Ekeus"	0.0810367
"Dennis Ross"	0.0808038
Prabowo	0.0806791
"Janet Reno"	0.0805143
Shalala	0.080351
Piot	0.0802291
"Defense William Cohen"	0.0800252
"Yuri Maslyukov"	0.0800047
Musharraf	0.079964
"Carlos Westendorp"	0.0796485
"Than Shwe"	0.0795365
Bildt	0.0794194
"Vladimir Putin"	0.0790619
Guterres	0.0790466
"Mike Murphy"	0.0790301
Klima	0.0789385
"Zhang Wannian"	0.0788684
"Fehmi Agani"	0.0787388
"Dwight Clark"	0.0787206
Maslyukov	0.0786666
Ghalib	0.078585
Glickman	0.0784819
"John Sweeney"	0.0776508
"Ricardo Alarcon"	0.0775325
"Gary Johnson"	0.0774695
Difrancesco	0.0773151
"Yu Yongbo"	0.0772093
Azizah	0.0771613
"Bob Shrum"	0.0767735
"Esmat Abdel Meguid"	0.0767713
Ikimi	0.0767553
"Gordon Brown"	0.0765654
Jayakumar	0.0762099
"Rod Thorn"	0.0761367
Fleischer	0.0758631
"Fayez Tarawneh"	0.0757697
Sutiyoso	0.0755449
Wolfensohn	0.0754012
Muoi	0.0752508
"Richard Blumenthal"	0.0750102
Mandelson	0.0749603
"Nabil Shaath"	0.0748169
Narayanan	0.0747807
Moonves	0.0746562
Shevardnadze	0.0746435
"William Walker"	0.0745614
Maj.-Gen.	0.0741244
"Joseph Ralston"	0.0740982
"Joe Lockhart"	0.0736909
Paxon	0.0736613
Camdessus	0.0735047
"Thomas Pickering"	0.0734946
Meguid	0.0732189
Ebersol	0.0730939
"Bruce Babbitt"	0.0730049
el-Baz	0.0728663
"Liu Huaqing"	0.0727776
Azad	0.0724391
"Yitzhak Molcho"	0.0723283
"Dave McGinnis"	0.0722743
"fire chief"	0.0719929
"Omar Torrijos"	0.0717467
"Mark McKinnon"	0.0717174
"Daim Zainuddin"	0.0716245
Scalfaro	0.0716034
Solana	0.071541
"Mary Robinson"	0.0714524
"Salim Ahmed Salim"	0.0712933
Bruton	0.071143
Hodler	0.0710537
Lipponen	0.070774
Alatas	0.0707266
))
("Barry R. McCaffrey" (desc 1269.48) (sims
"Barry McCaffrey"	0.403815
"John Weaver"	0.23233
"Lino Oviedo"	0.192968
"George Tenet"	0.178671
"Joel Klein"	0.15739
"Louis Freeh"	0.146599
"Klaus Naumann"	0.142623
"Salim Saleh"	0.140713
"Karen Hughes"	0.138322
"Xie Zhenhua"	0.134747
"Shaul Mofaz"	0.132602
"John Shalikashvili"	0.132387
McCaffrey	0.131673
"Danny Yatom"	0.131565
"Xiong Guangkai"	0.129567
"Gene Sperling"	0.127564
"David Bar-Illan"	0.126047
"Ahmed Tibi"	0.123605
"Hans Blix"	0.123216
"John Koskinen"	0.122539
"Pervez Musharraf"	0.120667
"William Bennett"	0.120031
"Ramsey Clark"	0.119959
"Wesley Clark"	0.119587
"Pervaiz Musharraf"	0.118628
"Vladimir Yakovlev"	0.118403
"Norman Schwarzkopf"	0.118305
"Carol Bellamy"	0.11793
"Robert Guei"	0.116464
"Bruce Teitelbaum"	0.114564
"Alexander Lebed"	0.113829
"Igor Sergeyev"	0.113758
"Shelly Finkel"	0.113713
"Oladipo Diya"	0.113528
el-Baz	0.110514
"Henry H. Shelton"	0.109488
"Daim Zainuddin"	0.108589
"Ansumane Mane"	0.10732
"Condoleezza Rice"	0.107112
"Maung Aye"	0.106243
"Renato Ruggiero"	0.102408
"Bill Lann Lee"	0.0971654
"Hans von Sponeck"	0.096894
"Prabowo Subianto"	0.0957833
"Tony Coelho"	0.0950965
"Ronnie Flanagan"	0.0946517
"Henry Shelton"	0.0945478
"John Browne"	0.0935575
Sutiyoso	0.093422
"Hugh Shelton"	0.0922966
"Zhou Nan"	0.0922649
Wiranto	0.0905386
"Gary Johnson"	0.0903561
"Sandy Berger"	0.0902227
"Michel Camdessus"	0.090112
"Douglas MacArthur"	0.0893624
Naumann	0.0893411
"Charles LaBella"	0.0886825
"John Anderson"	0.0878777
Prewitt	0.0877726
"Mike Murphy"	0.08652
al-Baz	0.0863445
"Abdulsalam Abubakar"	0.0861259
Baz	0.0851866
"Ralph Reed"	0.0851856
"Vladimiro Montesinos"	0.0844497
"Khin Nyunt"	0.083854
"Dick Morris"	0.0833889
"Bill Lockyer"	0.0832501
"Boutros Boutros-Ghali"	0.0831331
McDaniel	0.0831258
"Karl Rove"	0.0824442
"Richard Blumenthal"	0.0823434
"Mike Moore"	0.0822489
"Boris Fyodorov"	0.082171
"Adem Demaci"	0.0820453
"Zhang Wannian"	0.0820246
"Dan Schnur"	0.0818005
"Tin Oo"	0.0817716
"Joseph Ralston"	0.0801214
"David Hale"	0.0800387
"Billy Hunter"	0.0797086
Husseini	0.0792558
"Koichi Kato"	0.0790489
"Ray Evernham"	0.0789504
"Fu Quanyou"	0.0782607
"Ulysses S. Grant"	0.0779026
Iger	0.0774667
Pryor	0.0768445
"Dai Bingguo"	0.0757389
"Sandy Alderson"	0.0746012
"Abdulsalami Abubakar"	0.0742305
Meguid	0.0740785
"Olusegun Obasanjo"	0.0740744
"Robert Aventajado"	0.0736389
"Rodney Slater"	0.0732195
"Sam Mendes"	0.0727544
"Eric Holder"	0.0725579
"Mike Jackson"	0.0723819
"Manuel Noriega"	0.072114
"Secretary General Esmat Abdul-Meguid"	0.0715733
Storin	0.0711941
"Carter Eskew"	0.0711925
"Charles de Gaulle"	0.071105
"Harold Ickes"	0.0708941
"Yukio Hatoyama"	0.0708179
wen	0.0706108
Sumaye	0.0700256
"Wim Duisenberg"	0.069797
"William Perry"	0.0697082
"George Robertson"	0.0696359
Abdel-Meguid	0.069248
"Dwight Clark"	0.0683979
"Sepp Blatter"	0.0672899
Abubakar	0.0672287
Ghalib	0.0667703
"Wang Zhongyu"	0.066578
"J.C. Watts"	0.0664904
"Zbigniew Brzezinski"	0.0662873
Eizenstat	0.0661903
"Fehmi Agani"	0.0661265
"John Lewis"	0.0654742
"Billy Payne"	0.0654138
Zeroual	0.065008
"Dore Gold"	0.064985
Dodik	0.0649847
Carmichael	0.0646793
"Anatoly Chubais"	0.0646758
"Xanana Gusmao"	0.0645346
"Bobby Brown"	0.0644583
"Colin Powell"	0.0642739
"Mike Martz"	0.0641899
"Javier Solana"	0.0641655
"James Levine"	0.0640614
"William S. Cohen"	0.0639737
Musharraf	0.063684
"Scott Harshbarger"	0.0635219
"Ratko Mladic"	0.0632485
"Jim Thomas"	0.0628345
"Paul Kagame"	0.0626329
"Omar Torrijos"	0.0625493
Piot	0.062549
Rais	0.0619723
Zou	0.0618783
Zeng	0.0617805
Brokaw	0.0616905
"Secretary General Esmat Abdel-Meguid"	0.0616473
"John Cornyn"	0.061493
"George Stephanopoulos"	0.0613576
Grasso	0.0611278
"Francisco Franco"	0.0604743
Muoi	0.0604561
"Dwight Eisenhower"	0.0603081
Molinari	0.0602905
"Marc Racicot"	0.0601976
"William Daley"	0.0601055
"Than Shwe"	0.0600219
"Barney Frank"	0.0595392
"Robert E. Lee"	0.0595164
Juma	0.0589477
"Bruce Lindsey"	0.0587332
"Mitt Romney"	0.0583737
"David Johnson"	0.0583135
"Curt Weldon"	0.0581675
"Bora Milutinovic"	0.0581401
"James Jones"	0.0581273
"Ariel Sharon"	0.0581129
Maslyukov	0.0580439
"Lawrence Summers"	0.0579765
Kasoulides	0.0579462
Pustovoitenko	0.05756
Prabowo	0.0575257
"Hashim Thaci"	0.0574355
"Dennis Ross"	0.0573672
Havelange	0.0573663
"Gennady Zyuganov"	0.0573619
Demaci	0.0572502
"Yuri Maslyukov"	0.0572029
"John Prescott"	0.0571984
"Larry Sabato"	0.0570329
Glickman	0.0566102
Ogata	0.056436
"Tom Welch"	0.0564221
"Jose Serrano"	0.056317
"Albert Brooks"	0.0560394
LeBlanc	0.055875
Delahunt	0.0555813
"Samuel Berger"	0.055554
"Mark Sanford"	0.0555367
Scalfaro	0.0555038
Grachev	0.0551073
"Henry Bonilla"	0.0550558
"Dan Burton"	0.0548271
"Abu Mazen"	0.0547164
Camdessus	0.0545665
"Charles Rangel"	0.054507
Nickerson	0.0541357
"Warren Christopher"	0.0539773
Alarcon	0.0539288
Klima	0.0538191
))
("Barry Sanders" (desc 7521.09) (sims
"Eric Dickerson"	0.172314
"Terrell Davis"	0.161004
"Tony Dorsett"	0.157878
"Walter Payton"	0.156805
"Jim Brown"	0.150502
"Earl Campbell"	0.145255
"Marcus Allen"	0.142559
"Jamal Anderson"	0.14042
"Emmitt Smith"	0.134641
"Marshall Faulk"	0.129915
"Garrison Hearst"	0.129747
"John Elway"	0.12208
"Ricky Watters"	0.121842
"Adrian Murrell"	0.11485
"Curtis Martin"	0.11252
"Steve Young"	0.111463
"Charlie Garner"	0.111302
"HERMAN MOORE"	0.106207
"Mike Cloud"	0.106074
"Trung Canidate"	0.103308
"Wayne Gretzky"	0.100898
"Fred Taylor"	0.0995777
"Lawrence Taylor"	0.0988759
"Thomas Jones"	0.0985953
"Jerome Bettis"	0.0941514
"Dorsey Levens"	0.0938066
"Robert Edwards"	0.0936961
"Ricky Williams"	0.092999
"Eddie George"	0.0899783
"Bo Jackson"	0.0892344
"Tyrone Wheatley"	0.0887703
"Charlie Batch"	0.0887589
"Michael Jordan"	0.0878165
"Karim Abdul-Jabbar"	0.0861439
"Michael Irvin"	0.0857839
"Edgerrin James"	0.0857202
"Dan Marino"	0.0851584
"Cecil Collins"	0.082956
"Ron Dayne"	0.0827571
"Warrick Dunn"	0.0824579
"Curtis Enis"	0.0822782
"Shannon Sharpe"	0.0821051
"Scotty Bowman"	0.0817884
"Michael Wiley"	0.0817087
"J.R Redmond"	0.0800302
"Skip Hicks"	0.0797377
Sanders	0.0796095
"Shaun Alexander"	0.0794335
"John Avery"	0.0789557
"Chris Warren"	0.0789491
"Robert Smith"	0.0783343
"Lawrence Phillips"	0.0781557
Faulk	0.0769009
"Reggie White"	0.0765959
"Robert Brooks"	0.0763354
"Herschel Walker"	0.0753922
"Joe Montana"	0.0749634
"Deion Sanders"	0.0746199
"Kevin Faulk"	0.0744216
"running back"	0.0742823
"Brett Favre"	0.0739044
"Antonio Freeman"	0.0736631
"Byron Hanspard"	0.0725444
"Stephen Davis"	0.0725189
"James Johnson"	0.072211
"Magic Johnson"	0.0720355
"Chad Morton"	0.0686303
"Jamal Lewis"	0.0684852
"Terry Allen"	0.0680737
"Keyshawn Johnson"	0.0679907
"Jerry Rice"	0.067589
"Bruce Smith"	0.0671428
Elway	0.0661537
Dorsett	0.0656053
"Mike Holmgren"	0.0655514
Gretzky	0.0648592
"Grant Hill"	0.0648145
"Sultan McCullough"	0.0637992
"Gary Brown"	0.0636582
"James Stewart"	0.0629826
"Brad Johnson"	0.0627697
"Daryl Johnston"	0.0626533
"Bill Romanowski"	0.0623946
"O.J Simpson"	0.0619773
"Wilt Chamberlain"	0.0619627
"Mario Lemieux"	0.0618958
"Larry Bird"	0.0617745
"Troy Aikman"	0.0611374
"Bubby Brister"	0.0606601
"Jim Kelly"	0.0605478
"Peyton Manning"	0.059318
"Vinny Testaverde"	0.0585136
"Dick Vermeil"	0.0582374
"Sedrick Shaw"	0.057776
"Ozzie Newsome"	0.0572569
"Jimmy Johnson"	0.0571721
"Clyde Drexler"	0.0569734
"DeShaun Foster"	0.0561532
"Alberto Tomba"	0.055922
"Chris Osgood"	0.0555494
"Steve Yzerman"	0.0552603
"Thurman Thomas"	0.0551613
"Daniel Patrick Moynihan"	0.0542543
"Jermaine Lewis"	0.0541713
"Bora Milutinovic"	0.0540015
Aikman	0.0539998
"Gordie Howe"	0.0529961
Seizinger	0.0522154
Coia	0.0515348
"Keith Brown"	0.0515154
Tomba	0.0511065
Rahal	0.0510004
"Lamar Smith"	0.0508831
"Carl Pickens"	0.0507238
Payton	0.0506425
"Doug Flutie"	0.0501876
"Cal Ripken"	0.0499927
Anderson	0.0498332
"Chris Chandler"	0.0497497
"running game"	0.0496846
Irvin	0.0494688
Dayne	0.0494588
"Roger Staubach"	0.0493323
"Tiger Woods"	0.0491838
"Hakeem Olajuwon"	0.0491697
"Nolan Ryan"	0.0490772
Irvan	0.0487842
"Ivan Lendl"	0.0487079
"Sergei Fedorov"	0.0485694
"Martina Navratilova"	0.0485482
"Doak Walker"	0.0480794
"Patrick Ewing"	0.0479252
"Billie Jean King"	0.0477536
"Dan Reeves"	0.0474504
"Bill Parcells"	0.0471545
Ivester	0.0470908
Lett	0.0469997
Reichel	0.0468752
"Brendan Shanahan"	0.046699
"Drew Bledsoe"	0.0465767
"Ty Cobb"	0.0465434
"Dennis Rodman"	0.0463741
Maris	0.0462223
"Steffi Graf"	0.0460496
"Scott Mitchell"	0.0459179
Gehrig	0.0457212
"Paul Molitor"	0.0455709
"Sandy Koufax"	0.0455672
"Joe Namath"	0.0455015
"Dale Bumpers"	0.0453292
"Roger Maris"	0.0453174
rusher	0.0452901
Edberg	0.0452536
Cowens	0.0452509
"Chris Evert"	0.0450139
"Miguel Indurain"	0.0449387
"Charles Haley"	0.0444027
"Juan Gonzalez"	0.0443449
"Gus Frerotte"	0.0443382
"Cris Carter"	0.0442424
Spielman	0.0440354
"Glenn Foley"	0.0440224
"George Brett"	0.0440142
"Babe Ruth"	0.0439933
"Eric Cantona"	0.0437236
"Bill Shoemaker"	0.0436227
Calloway	0.0436152
"Kevin Smith"	0.0435986
Shaw	0.0435532
"Alex Rodriguez"	0.0435093
"Jack Nicklaus"	0.0434866
Toombs	0.0434439
"Mark McGwire"	0.0431429
"Elvis Grbac"	0.0429899
"Ted Williams"	0.0428077
STALEY	0.0425909
"Ernie Irvan"	0.042536
"Julius Erving"	0.0424773
"Phil Jackson"	0.0423745
Avery	0.042281
Laudrup	0.0422041
"Ken Griffey Jr."	0.0421673
"Jimmy Connors"	0.0421471
"Steve Atwater"	0.0419349
Greenwald	0.041884
Hershiser	0.0418817
Havelange	0.0418717
"Don Baylor"	0.0418073
Barkley	0.0416557
"Ty Detmer"	0.0416402
"Wade Boggs"	0.0415682
linemen	0.0414642
"Steve McNair"	0.041464
Ripken	0.0414573
"Dean Smith"	0.0413696
petty	0.0412891
"Jason Garrett"	0.0412088
Odom	0.0410642
"two pitchers"	0.040902
"Bill Belichick"	0.0408914
))
("Barry Scheck" (desc 1639.69) (sims
"Jim Thomas"	0.204269
"David Kendall"	0.185935
"Johnnie Cochran"	0.181198
"Gregory Craig"	0.167682
"Robert Bennett"	0.13327
"William Neukom"	0.130415
"David Boies"	0.130377
"Abbe Lowell"	0.129885
"Ramsey Clark"	0.120743
"Bruce Lindsey"	0.115868
"Vincent Foster"	0.109198
"Yitzhak Molcho"	0.108513
"Mary Jo White"	0.101964
"Larry Sabato"	0.0988623
Scheck	0.0945964
"Charles Ruff"	0.0847299
"Vernon Jordan"	0.0772219
"John Grisham"	0.0744701
"David Johnson"	0.0716807
"certified public accountant"	0.0714024
"Elyakim Rubinstein"	0.0697055
"DOUG JONES"	0.0659974
litigant	0.0654375
"Robert F. Kennedy Jr."	0.0643155
"Mickey Kantor"	0.0632806
Milloy	0.062857
"Richard Smith"	0.0623408
ethicist	0.0617064
ethicists	0.0612633
Scruggs	0.0606017
"Dave Thomas"	0.0580673
folklorist	0.0574178
"Charles LaBella"	0.0565045
"Jack Quinn"	0.0564369
Blix	0.0559797
neurosurgeon	0.0559358
"David Schippers"	0.0558277
"Marc Hodler"	0.0554391
Drabinsky	0.0542962
"Ty Law"	0.0532793
notary	0.052664
"William Bennett"	0.0526196
Hauser	0.0521788
DeFrantz	0.0521756
"Richie Phillips"	0.0521467
"John Edwards"	0.0518246
Lundy	0.0515338
Granik	0.0512222
cutler	0.0510355
"Defense Fund"	0.0504838
Caddell	0.0502949
"Larry Whigham"	0.0502571
Seligman	0.0500616
O'Neil	0.0500294
Shapiro	0.049267
"Thurgood Marshall"	0.0482858
"Nathan Landow"	0.0480876
"law student"	0.0479931
prentice	0.0472628
ANGELOS	0.046237
"Hans Blix"	0.0461927
Tennant	0.0459911
jurist	0.0450129
"John Reed"	0.0448426
"Gabriel Garcia Marquez"	0.0444262
Breuer	0.0443987
criminologists	0.0443531
"Betty Friedan"	0.0443246
"Christopher Plummer"	0.0440741
Hodler	0.0440627
Murr	0.0434455
"private investigator"	0.0432342
"public speaker"	0.0425483
Cochran	0.0424955
Fagan	0.0421982
Richey	0.0420829
ty	0.0420617
Lipstadt	0.0419659
CPA	0.0418863
Fieger	0.0418168
Tanaka	0.0416906
Connor	0.0415955
Lindsey	0.0414292
"Scott Ritter"	0.0413877
"Robert Johnson"	0.0413349
"John Koskinen"	0.0409814
"solicitor general"	0.0408468
whistle-blowers	0.0405198
Garza	0.0402877
"Betsy McCaughey Ross"	0.0402042
"James P. Hoffa"	0.0401614
Hoffmann	0.0400117
))
("Barry Switzer" (desc 1212.97) (sims
"Dennis Erickson"	0.2062
"Dave Wannstedt"	0.197308
"Don Shula"	0.184852
"Jim Harrick"	0.18452
"Bora Milutinovic"	0.177513
"Rick Neuheisel"	0.172719
"Norv Turner"	0.145143
"TOM COUGHLIN"	0.138993
"Chuck Daly"	0.13728
"Bill Cowher"	0.137031
"John Robinson"	0.135378
"Chan Gailey"	0.127897
"Paul Westphal"	0.127285
"Tom Osborne"	0.127281
"Ray Rhodes"	0.124118
"Lou Holtz"	0.121403
"P.J Carlesimo"	0.121141
"Glenn Hoddle"	0.120969
"Doc Rivers"	0.116664
"John Calipari"	0.115771
"Steve Mariucci"	0.115466
"Lenny Wilkens"	0.11274
"Scotty Bowman"	0.111709
"Tom Landry"	0.110214
"Dick Vermeil"	0.109064
"Mike Holmgren"	0.10877
"Mike Dunleavy"	0.108365
"Tommy Bowden"	0.107074
Cremins	0.105915
"Tim Floyd"	0.104754
"Chris Palmer"	0.104744
"Walter Zenga"	0.104419
"Dave Cowens"	0.104198
"Dom Capers"	0.104089
"George Karl"	0.103642
"Ruud Gullit"	0.0977846
"Mike Shanahan"	0.0969608
"Lawrence Taylor"	0.0965693
"Kurt Rambis"	0.096535
"Dick Jauron"	0.0962816
Kilborn	0.0956311
"Del Harris"	0.0954161
"Don Baylor"	0.0947929
"Mike Ditka"	0.0941961
"Rick Pitino"	0.0940432
Haskins	0.0935842
"Pete Carroll"	0.0929035
"Bear Bryant"	0.0927234
"Joe Gibbs"	0.0923203
Ponciano	0.0918877
"Don Nelson"	0.0914116
"Roger Staubach"	0.0911395
"Fred Claire"	0.0908496
"Kevin Keegan"	0.0906352
"Dennis Johnson"	0.0902131
"Butch Carter"	0.0899944
"Bill Walsh"	0.0894071
"Glenn Hoffman"	0.088085
"Davey Johnson"	0.0875967
"Mike Krzyzewski"	0.0875649
"Johan Cruyff"	0.0874851
Switzer	0.0871891
"Clyde Drexler"	0.0869777
Schottenheimer	0.0866974
"Bill Parcells"	0.0862905
Harmoko	0.0861003
"Jerry Sloan"	0.0860386
"George Seifert"	0.0856284
"Steve Spurrier"	0.0856041
"Brian Billick"	0.0852306
Verney	0.0849323
Havelange	0.083597
Murayama	0.0828286
"Rich Brooks"	0.0822924
"Ernie Zampese"	0.0817335
"Isiah Thomas"	0.0811287
"Dan Reeves"	0.0810103
"Tony Dungy"	0.0809616
"June Jones"	0.0805062
"Pat Burns"	0.0804924
Barnett	0.0789455
"Dean Smith"	0.0788205
"Willie Randolph"	0.0783508
Osborne	0.0777075
"Jim Leyland"	0.0773741
"Joe Paterno"	0.0772029
"Rod Carew"	0.0769988
"Ken Hitchcock"	0.0763309
"Tex Winter"	0.0758468
"Al Groh"	0.0752732
"Mack Brown"	0.0748755
"Tom Davis"	0.0744934
"Phil Jackson"	0.0743906
"Rudy Tomjanovich"	0.0742647
"Ernie Grunfeld"	0.0737681
"Jimmy Johnson"	0.0737115
"Jeff Van Gundy"	0.0733878
Harrick	0.0732446
"Roy Williams"	0.0731423
Donnan	0.0730732
"Don Zimmer"	0.0721782
"Frank Joklik"	0.0715437
Landry	0.0711059
"Dennis Green"	0.070917
"John Wooden"	0.0707702
"Terry Collins"	0.0704586
"John Smith"	0.06967
"John Thompson"	0.0694363
Schmid	0.0693258
"Pro Bowls"	0.069011
"Mike Martz"	0.0689714
"Bobby Bowden"	0.0686275
Spurrier	0.0685844
"Renato Ruggiero"	0.0685754
"Michel Camdessus"	0.0682596
Kazhegeldin	0.0682266
"Larry Brown"	0.0681559
"Jerry Jones"	0.066968
"Dave Campo"	0.0660747
Goff	0.0657609
"Robert E. Rubin"	0.0657473
"Pat Riley"	0.0657368
Costas	0.0654237
"Wolfgang Schaeuble"	0.0650508
"Bill Belichick"	0.0647056
Cha	0.0637233
Solich	0.0636774
Sampson	0.0636197
Holmgren	0.0635623
"Bob Knight"	0.0632752
"Andreas Papandreou"	0.0632102
"Bill Skate"	0.0629961
Hartsburg	0.0626951
hough	0.0625539
"Tim Johnson"	0.0623209
Taubman	0.0622875
"Jason Garrett"	0.0620964
Bedell	0.0619186
"Tony Coelho"	0.0616337
"Gary Brown"	0.0615617
Cowan	0.0613811
Byrdsong	0.0610621
Milbury	0.0609754
"Charlie Garner"	0.0598235
Yadav	0.0594436
"Suleyman Demirel"	0.0592767
Camdessus	0.0592132
Coia	0.0590614
"Bobby Knight"	0.0589596
Fordice	0.0584606
Torvalds	0.058358
"Steve DeBerg"	0.058211
Franchione	0.0578579
"Mark James"	0.0577619
"Ray Evernham"	0.0572432
Westphal	0.0569558
"Sandy Koufax"	0.0568586
"Billie Jean King"	0.0567574
Aliotti	0.0566751
"Joe Montana"	0.0566741
Gullit	0.0566206
"Boomer Esiason"	0.0566028
"Jim Calhoun"	0.0564019
"Paul Silas"	0.0562716
Sato	0.0561831
Sanan	0.0560141
Buzek	0.0558518
Malu	0.0557091
Shurmur	0.0556389
Connie	0.0556291
"Joe Namath"	0.0555296
Ince	0.0554499
"Joao Havelange"	0.0553532
Holzman	0.0552984
"Jacques Santer"	0.0550123
Dodik	0.0547604
Tillman	0.0545107
Talebi	0.0544616
"Lloyd Bentsen"	0.0543133
"Mike Scioscia"	0.0542477
Zampese	0.053889
"Seiji Ozawa"	0.0538863
"Robert Aventajado"	0.0538228
Evernham	0.0537829
"Dave Stewart"	0.0536806
Seifert	0.0535702
Milutinovic	0.053531
"Paul Johnson"	0.0535173
DiCarlo	0.0534402
"Arthur Ashe"	0.0533412
Donahue	0.0532887
Rongen	0.053179
Wendt	0.0526656
"Bank of Montreal"	0.0525998
Fassel	0.052496
"Gianluca Vialli"	0.0523308
NCEC	0.0522945
Neuheisel	0.0522779
"Marv Albert"	0.0521108
Ainge	0.052068
))
(Barrymore (desc 2217.08) (sims
"Drew Barrymore"	0.0940738
Affleck	0.0887954
Paltrow	0.0858607
Kurtz	0.0847329
Krall	0.0821618
Zellweger	0.0815324
"Bridget Fonda"	0.0813075
Andreas	0.080352
Goodman	0.0790869
Skakel	0.0774825
Jaffe	0.0763552
Kirby	0.0755396
Blanchett	0.0753896
Kagalovsky	0.0742007
Tilberis	0.0740172
Streep	0.0730009
Berenson	0.072957
Ding	0.0726363
Garofalo	0.0717286
Abram	0.0715316
Grossman	0.0714177
Witherspoon	0.0713309
Sheedy	0.0711639
Soliah	0.0710938
Curtis	0.070861
Russo	0.0705833
swank	0.0705495
Flockhart	0.0698866
Crowe	0.0697519
Merlino	0.0693584
Tucci	0.0691256
Forrest	0.0689979
Redgrave	0.0689879
Grossberg	0.0688905
Cusack	0.0687661
Blackthorne	0.0686858
Rodgers	0.0686735
Lockwood	0.0684096
Stayner	0.0683014
Edson	0.0680709
Gotti	0.0680166
Janssen	0.0673468
Deneuve	0.0671844
Bragg	0.0669068
Bates	0.0667168
Donohue	0.066676
"El Hage"	0.0661119
Midler	0.0660062
Grunwald	0.0657989
Nilsson	0.0657454
Jeffers	0.0655031
Baumhammers	0.0653463
Farrell	0.0652803
Brazile	0.0649361
Andrews	0.0648302
Henning	0.0646227
Hartman	0.0642752
"Edward Norton"	0.0639873
Kurth	0.0638369
Mullen	0.0637734
McDermott	0.0632147
McCourt	0.063037
Gonzales	0.0630358
pressman	0.0628528
Pape	0.0625895
Weston	0.0625694
Chan	0.0624408
Herrera	0.0624173
Ackerman	0.062406
Stacy	0.0622732
Pfeiffer	0.0622124
Manheim	0.0621476
Willis	0.0621141
Fiorina	0.0615488
Wilder	0.0614903
Flores	0.061376
McDonnell	0.0612706
Bacall	0.0612285
Alves	0.0610625
"Henry Fonda"	0.0609163
Carmichael	0.0609026
Hickman	0.0608289
Pearce	0.0607162
Diaz	0.0606915
Bowers	0.0602678
Mcbride	0.0602008
Kimes	0.0598985
Phelps	0.0597871
Kingsley	0.0597833
Goldstein	0.0596951
Bhutto	0.0596872
Roberson	0.0596397
Currier	0.0593878
MCC	0.0591097
Briscoe	0.0590954
bock	0.0590224
Winfrey	0.0588523
Mucha	0.0588379
Portnoy	0.058836
Gardiner	0.0587398
Dowd	0.0586967
Hamlin	0.0583522
Falco	0.0582861
Seligman	0.0580124
Upshaw	0.0579978
Brownlee	0.0579432
Hanna	0.0578814
Cheever	0.057857
Kusama	0.0577963
Mays	0.0577818
Kopp	0.0577631
Lurie	0.0576411
Wiggins	0.0576169
Henley	0.0575938
Greenwald	0.0574541
Cleary	0.0574011
Winslet	0.0573943
Mahoney	0.0573088
Sweeting	0.0571971
Benigni	0.0569614
Marceau	0.0569606
Arquette	0.0567956
Godfrey	0.0567778
Braugher	0.0567618
Lerner	0.0566026
Tuttle	0.0565968
Preston	0.0562343
Nasrin	0.0561229
Swango	0.0560988
Dion	0.0559252
Moran	0.0559024
Byrne	0.0558732
Bening	0.0558466
Bisek	0.0558084
Garber	0.0557861
Farber	0.055677
Meyers	0.0556184
Gillespie	0.0554725
Naipaul	0.0554214
Holmes	0.0554027
Sarandon	0.0553915
Meissner	0.055373
Suarez	0.055241
Mapes	0.0551473
Duvall	0.0551345
off-Broadway	0.0551195
Wasserstein	0.0550659
Dench	0.0549524
Lowry	0.0549506
Duran	0.0548336
Ashrawi	0.0547126
Cleese	0.0546624
Hagen	0.0546369
Gravano	0.0545804
Markovic	0.054333
Ingalls	0.054317
Sharma	0.0542836
Marchand	0.0542641
Stevenson	0.054222
Woodard	0.0542173
Baum	0.0541591
Ashley	0.0540334
Kidman	0.0539311
Holzman	0.0539226
"McCaughey Ross"	0.0539041
Copeland	0.0538994
Polgar	0.0538189
Kelley	0.0537482
Molinari	0.0537192
Rosenthal	0.0536376
Richards	0.053618
"Albert Brooks"	0.0535587
Griffiths	0.0535195
Ratner	0.0534442
Gooding	0.0534257
Bartoli	0.0534131
Ng	0.0533529
Boyle	0.0533448
Farley	0.0532652
Hoffman	0.0532554
Horne	0.0531402
Oliveira	0.0531379
Thornton	0.0531037
Webdale	0.0530916
Grahame	0.0530487
Yoon	0.052953
Ricart	0.0527584
Huber	0.0526845
Lehmann	0.0526643
Ryder	0.0526558
O'Sullivan	0.0525931
Diggs	0.0525075
Thurman	0.0524865
Maag	0.0524214
Vogel	0.0523516
Lobo	0.0522743
Chukwu	0.0521628
Yates	0.0521411
Garvey	0.0520549
Scruggs	0.0520162
))
(bars (desc 10487.9) (sims
cheesecake	0.045366
eateries	0.0426228
meringue	0.0423326
lounge	0.0419984
sundae	0.0415987
"ice cream"	0.0415699
cooky	0.0411468
))
(Barshefsky (desc 2842.72) (sims
Sergeyev	0.199902
Dini	0.184849
Glickman	0.179236
Komura	0.175619
Ivanov	0.17157
Talbott	0.166446
Rakhmonov	0.165643
"Valery Pustovoitenko"	0.165468
Camdessus	0.165158
Alatas	0.160816
Ikeda	0.16035
Klestil	0.1603
Pangalos	0.159442
Eizenstat	0.159384
Goh	0.159287
Ecevit	0.158467
Velayati	0.157203
Wolfensohn	0.156685
Advani	0.156554
Solana	0.15598
Kharrazi	0.155604
Berger	0.155145
Moussa	0.154849
Cem	0.154358
Azizah	0.153501
Siazon	0.15271
Cohen	0.151521
Shareh	0.151367
"de Charette"	0.150833
Chretien	0.150806
Aziz	0.150705
Simitis	0.150239
Ruehe	0.149995
"William Cohen"	0.14961
Weizman	0.149297
Constantinescu	0.148584
"William Perry"	0.146637
Erekat	0.145635
Khaddam	0.145479
Prewitt	0.144145
Vedrine	0.143959
Kinkel	0.1432
"Pascoal Mocumbi"	0.142888
Zuma	0.142522
Kuchma	0.141965
"William Daley"	0.141379
Ahern	0.141028
Meissner	0.14097
Dehaene	0.140941
Klima	0.140328
Rossello	0.139716
Mkapa	0.139678
Mowlam	0.139062
"Frederick Sumaye"	0.138867
Meles	0.138265
Guterres	0.137474
Ogata	0.137455
Lockyer	0.136919
Goldin	0.13651
Scalfaro	0.136245
Husseini	0.135988
Majali	0.134531
Westendorp	0.133676
McCurry	0.1334
al-Hariri	0.133111
"Ivan Kostov"	0.132819
Shi	0.132715
Caldera	0.131973
Prodi	0.131857
Maslyukov	0.13184
Denktash	0.131006
Shevardnadze	0.130818
Waxman	0.130812
Jayakumar	0.12992
Gujral	0.129591
Phieu	0.129504
Chuan	0.129441
Chirac	0.129282
Carollo	0.128734
Albright	0.128726
Sumaye	0.12834
al-Sahhaf	0.128164
DeFrantz	0.127814
Koskinen	0.127463
Kwasniewski	0.127392
"Vo Van Kiet"	0.127128
Aventajado	0.127021
Arbour	0.126838
Axworthy	0.126803
Menem	0.126601
Boueiz	0.126358
Pustovoitenko	0.126083
Insulza	0.126073
Shalala	0.125895
Nzo	0.125839
LaPierre	0.125509
Vajpayee	0.125491
Lockhart	0.12497
Jospin	0.124771
"Defense William Cohen"	0.124645
Nujoma	0.124282
Kostov	0.123545
Rubinstein	0.123119
Indyk	0.122965
Schuessel	0.122845
Rosen	0.122668
Demaci	0.122585
Ruthardt	0.122555
"Mesut Yilmaz"	0.122456
Tsang	0.122394
Clerides	0.12235
Bildt	0.122265
"Jean Chretien"	0.122229
Diouf	0.122219
Hoss	0.122018
Milutinovic	0.121805
Fischer	0.121691
Bellamy	0.121662
"Meles Zenawi"	0.121467
al-Sharaa	0.121305
"Minister Shlomo Ben-Ami"	0.121221
"National Security Adviser Sandy Berger"	0.121184
McCaffrey	0.121152
Nemtsov	0.120962
Blumenthal	0.120434
Chiluba	0.120247
Piot	0.119629
Yilmaz	0.119434
Singson	0.119
Gaddafi	0.118979
Meguid	0.118684
Bizimungu	0.118486
Ruggiero	0.11843
"Bertie Ahern"	0.118128
Moratinos	0.117891
Kok	0.117583
"Bulent Ecevit"	0.117541
Khai	0.117537
"Prime Minister Kamal El-Ganzouri"	0.117275
D'Alema	0.117225
Abdel-Meguid	0.117211
Brittan	0.11719
Zeman	0.117094
Verniero	0.117065
Rifkind	0.116924
Ahtisaari	0.116782
el-Ganzouri	0.11673
Museveni	0.116596
"Lawrence Summers"	0.116386
"Wim Kok"	0.116258
Kiriyenko	0.116176
Blair	0.11588
"Goh Chok Tong"	0.115557
Yastrzhembsky	0.115541
Mordechai	0.115496
Zhu	0.115302
Scharping	0.115277
"Phan Van Khai"	0.115277
Nasrallah	0.115175
Kennard	0.115127
Nazarbayev	0.115024
Waigel	0.114895
"Dan Glickman"	0.114544
Hariri	0.114364
Pickering	0.114269
Aznar	0.114184
"Wlodzimierz Cimoszewicz"	0.114141
Malan	0.114088
Frei	0.113647
Molinari	0.113637
Podesta	0.11352
Peres	0.113402
Bruton	0.113363
Qian	0.113222
Qiao	0.112878
Garcetti	0.112834
Luong	0.112462
"Robert Rubin"	0.112428
Hashimoto	0.112312
MIYAZAWA	0.112238
Rubin	0.112163
Deuba	0.112053
"Atef Obeid"	0.111885
Mbeki	0.111848
Daschle	0.111832
Tuttle	0.111773
"Charlene Barshefsky"	0.111322
Hybl	0.111306
"Radu Vasile"	0.11088
"John Bruton"	0.110853
Lipponen	0.110683
Hasina	0.110647
Daley	0.11061
Wahid	0.110582
Butterworth	0.110424
Satcher	0.110087
Shipley	0.110016
Alarcon	0.110007
Gurirab	0.109858
"De Soto"	0.109784
Hauser	0.109726
al-Khatib	0.109601
Salim	0.109588
Stoyanov	0.109548
"Romano Prodi"	0.109398
"Bashkim Fino"	0.109371
Hecht	0.109368
Narayanan	0.10929
Santer	0.109156
Chissano	0.109143
Jovanovic	0.109088
Kabariti	0.109042
Azad	0.108902
Vollebaek	0.108634
Sorensen	0.108354
"Than Shwe"	0.108255
Lukashenko	0.108169
Juncker	0.108162
"Chuan Leekpai"	0.108158
Moscoso	0.107963
"Javier Solana"	0.107776
"Saudi King Fahd"	0.107639
Levitt	0.107513
Kouchner	0.10748
Seleznyov	0.107426
Farber	0.10739
Juma	0.107203
Checketts	0.106901
Gaffney	0.106848
"Binyamin Netanyahu"	0.106741
"Saeb Erekat"	0.10657
"Jordanian King Abdullah Bin Hussein"	0.106525
"Richard Butler"	0.106432
Granic	0.10631
"Inder Kumar Gujral"	0.106248
Downer	0.106093
Demirel	0.105933
Rylander	0.105788
Wenger	0.105721
Primakov	0.105637
"Costas Simitis"	0.10554
Eran	0.105407
Teresi	0.105165
"Chief Executive Tung Chee-hwa"	0.105071
"King Abdullah II"	0.104813
Menchu	0.104789
Mubarak	0.104697
Colburn	0.104672
Zedillo	0.104493
Galvin	0.104486
Mori	0.104408
Ciller	0.104375
Hynes	0.104336
Ben-Ami	0.104327
"Cambodian King Norodom Sihanouk"	0.104206
Chavalit	0.104081
al-Shara	0.103748
Grachev	0.103336
"Rafik Hariri"	0.102866
Wolfson	0.10283
Berri	0.10254
Lott	0.102479
"Jerzy Buzek"	0.102427
Bolger	0.102373
Soares	0.102359
Brazile	0.102246
Lamberth	0.102225
"Tariq Aziz"	0.102032
"Jose Maria Aznar"	0.101973
"Necmettin Erbakan"	0.101926
Garang	0.101504
Tung	0.101435
Sharansky	0.101427
Moi	0.101355
Estrada	0.101226
"Janet Reno"	0.10122
Grossman	0.101179
"President Hafez Al-Assad"	0.101008
Kyprianou	0.100927
Mandela	0.100892
Reimer	0.100815
Kasoulides	0.100535
Safir	0.100489
Christopher	0.100411
Luzhkov	0.100287
))
(Bart (desc 3587.02) (sims
Marge	0.0839914
Muni	0.0826624
Marta	0.0783191
"Long Island Rail Road"	0.0623592
Wilbur	0.061675
Darrell	0.0590622
"William Kristol"	0.058486
Conrail	0.0558702
Kohn	0.0550058
Torvalds	0.0533968
Amtrak	0.0530501
"cable car"	0.0509394
Overnite	0.0503936
TAZARA	0.0494589
Ducati	0.0492715
"Union Pacific"	0.0486099
monorail	0.0481772
"Number @"	0.0480917
Acela	0.0480422
CSX	0.0473789
self-service	0.0473069
MPAA	0.0469406
Lilco	0.0467162
"Israeli Foreign Ministry"	0.0465855
ATC	0.0463524
"Jack Benny"	0.0462698
gilder	0.0461427
Harley	0.0460792
DEP	0.0460678
Aprilia	0.0452854
Gutman	0.0450083
DMV	0.0450067
IAI	0.0447292
"Michael Murphy"	0.0446116
O'Reilly	0.0443277
"Con Ed"	0.0442601
Jovanovic	0.0441003
Khalid	0.044007
Carnahan	0.0436204
CalPERS	0.0435032
Patrick	0.0433631
Coolidge	0.0432604
Tuttle	0.043219
"Homer Simpson"	0.043009
Allchin	0.0430076
AFA	0.0429695
"British Foreign Office"	0.0427851
merry-go-round	0.0426846
metro	0.0425661
Seleznyov	0.042564
NCR	0.0424926
Yamaha	0.0424374
Lionel	0.0423253
Lynn	0.0422731
Intergraph	0.0422571
Debby	0.0420342
"Matt Groening"	0.0418682
"commuter train"	0.0418656
nance	0.0417685
jeepney	0.0417678
Denis	0.041685
Seth	0.0415219
"Tina Brown"	0.0414833
"Culture Ministry"	0.041332
Sinclair	0.0410762
SUNY	0.0408449
"Blue Dog"	0.0408263
"Western Union"	0.0407728
Unix	0.040745
BIA	0.0407139
"Consolidated Edison"	0.0403645
"up to four"	0.0401744
Ono	0.0401425
Eurotunnel	0.0400636
))
(bartender (desc 14476.1) (sims
busboy	0.149926
waiter	0.14658
waitress	0.130004
hostess	0.0950738
chef	0.0924641
housekeeper	0.0924416
cashier	0.0917664
bellhop	0.0901303
restaurateur	0.0898549
clerk	0.0886041
doorman	0.0882008
doormen	0.0875001
receptionist	0.0858495
Cook	0.0851118
beautician	0.0840396
maid	0.0826302
"shop assistant"	0.08185
attendant	0.0810544
janitor	0.0786198
stewardess	0.0763303
teller	0.0759661
concierge	0.0753971
plumber	0.0745343
hairdresser	0.074072
nurse	0.0740397
"truck driver"	0.073933
"disc jockey"	0.0733416
stockbroker	0.0732691
"bus driver"	0.0730169
bouncer	0.0726238
carpenter	0.0723624
"security guard"	0.0700462
"ticket agent"	0.0684919
handyman	0.0681509
lifeguard	0.0680597
"flight attendant"	0.0674632
dancer	0.067421
therapist	0.067348
housewife	0.0673036
policeman	0.0670403
stripper	0.0662342
mechanic	0.0661107
prostitute	0.0659467
masseuse	0.0658973
"social worker"	0.0657345
electrician	0.0652771
stuntman	0.0648683
instructor	0.0648573
welder	0.0644784
gardener	0.0643948
caterer	0.0642474
accountant	0.0631706
musician	0.0625539
bookkeeper	0.0625385
fisherman	0.0616661
patron	0.0615222
"factory worker"	0.0614324
comedian	0.0607863
shopkeeper	0.060672
photographer	0.059794
detective	0.0595778
salesman	0.0588864
entertainer	0.0588004
dispatcher	0.0586887
sommelier	0.0586428
Porter	0.0586372
"prison guard"	0.0585896
stylist	0.0583881
"day laborer"	0.0583727
chauffeur	0.0583369
Cop	0.0581019
cleaner	0.0580996
"computer programmer"	0.0578662
"real estate agent"	0.0570198
bodyguard	0.0569318
publicist	0.0568141
"hockey player"	0.0567752
proprietor	0.0567725
diner	0.0567548
veterinarian	0.0567391
"television reporter"	0.0566221
"football player"	0.0563543
handler	0.0563198
psychoanalyst	0.0562631
saleswoman	0.0559262
"police officer"	0.0558765
psychotherapist	0.0558119
"college student"	0.0556925
technician	0.0556799
"investment adviser"	0.0556331
supervisor	0.0555895
"insurance agent"	0.055487
cabby	0.0553495
winemaker	0.0553067
"private investigator"	0.0551767
banker	0.0547684
priest	0.0546419
sportswriter	0.0543914
businessman	0.0543094
bodybuilder	0.0542613
surgeon	0.0541917
"exotic dancer"	0.0541395
magician	0.0540626
"press agent"	0.0540496
scout	0.0539935
translator	0.0538518
caddie	0.0537249
boxer	0.0536871
homemaker	0.0536251
counselor	0.053457
"interior designer"	0.0534562
"house painter"	0.0534381
"baseball player"	0.0533099
"drug dealer"	0.0532089
physician	0.0531242
weatherman	0.0530285
Programmer	0.0529804
assistant	0.0529143
schoolteacher	0.0528513
pianist	0.0527664
seamstress	0.0527558
firefighter	0.0523568
staffer	0.052207
picker	0.0521217
steward	0.0520595
deejays	0.0519396
"staff member"	0.0519087
"basketball player"	0.0518192
pimp	0.0517153
hairstylist	0.0516658
"traveling salesman"	0.0516487
servant	0.0515888
designer	0.0515085
passerby	0.0513439
psychiatrist	0.0512008
"disk jockey"	0.05114
pharmacist	0.0509677
Barber	0.0508113
missionary	0.0507968
sportswriters	0.050687
salesperson	0.0505104
"medical student"	0.0503188
racer	0.0501695
painter	0.0500606
nanny	0.0498787
paralegal	0.0498671
psychologist	0.0498453
roofer	0.0498433
librarian	0.0497857
educator	0.049748
fireman	0.049741
bailiff	0.0496583
teen-ager	0.0496242
grocer	0.0495883
co-worker	0.0494978
intern	0.0494239
dude	0.0493548
"venture capitalist"	0.049261
skateboarder	0.0491933
"young man"	0.0490636
"hit man"	0.0489205
transvestite	0.0488894
valet	0.0487577
trainer	0.0485525
hitchhiker	0.0484883
"young woman"	0.0484056
"police lieutenant"	0.0482458
"graphic artist"	0.0482212
rabbi	0.0481158
nun	0.0480956
"sports fan"	0.0480827
newsman	0.0480415
"real estate developer"	0.0479856
groundskeeper	0.0479066
sportscaster	0.0478897
Sergeant	0.0477904
copywriter	0.0477373
custodian	0.0476828
medic	0.0476224
peddler	0.0474706
collector	0.0474055
dishwasher	0.0473684
interpreter	0.0473552
salespeople	0.0472616
ingenue	0.0470236
violinist	0.0467488
clown	0.0467271
teenager	0.0467063
Englishman	0.0467003
"art student"	0.0466665
conductor	0.0465543
optometrist	0.0465315
typist	0.0465108
"ballet dancer"	0.0464883
blonde	0.0463478
"plastic surgeon"	0.0463266
gangster	0.0462977
"math teacher"	0.0462207
Playwright	0.0462175
singer	0.0461271
))
(barter (desc 4741.87) (sims
profit-sharing	0.111159
leasing	0.0923743
B@B	0.077639
phonics	0.0773564
derivative	0.0747957
China-U.S.	0.0734449
entrepot	0.0710028
"billion dollar"	0.0703621
fast-track	0.0689947
"tax avoidance"	0.0686808
interbank	0.0682072
after-hours	0.0679514
escrow	0.0671086
"proportional representation"	0.067082
U.S.-China	0.0662707
"export credit"	0.0661336
debit	0.0655742
business-to-business	0.063757
Euroland	0.0634621
"social insurance"	0.0634556
"back office"	0.0617005
"black market"	0.0614755
"trial and error"	0.0608316
"clearing house"	0.0605402
oil-for-food	0.0602788
cross-Straits	0.0597899
"automated teller machine"	0.0596582
triage	0.0589832
Sino-U.S.	0.0589648
Sino-French	0.0586454
BoT	0.0584397
CFCs	0.0582669
multiplayer	0.0581881
Sino-Japanese	0.0581607
pretax	0.058151
WebTV	0.0576622
"quid pro quo"	0.0572779
"mass transit"	0.057123
"collective security"	0.0569548
inter-Arab	0.0569013
postage	0.0566631
E-ZPass	0.0562944
customization	0.0558293
contingency	0.0557701
cryptography	0.0556723
one-to-one	0.055606
multiyear	0.0553641
arbitrage	0.055107
biomass	0.0548889
Telecoms	0.0547343
Sino-Russian	0.0546469
vending	0.0545891
processing	0.0544402
"bank card"	0.0541786
"precious metal"	0.0539722
FOREX	0.0539623
"hard drug"	0.0538699
coupon	0.0537988
"credit card"	0.0534731
"stock option"	0.0532685
patronage	0.053026
remittance	0.0529985
"bond trading"	0.0529674
"consumer credit"	0.0524083
"public transit"	0.052028
merchandising	0.051975
"cosmetic surgery"	0.0518671
non-oil	0.051829
borrowing	0.0518122
Benecol	0.0516135
"life insurance"	0.0515888
"traveler's check"	0.0515361
"push back"	0.051388
hedging	0.0512862
GATT	0.0511345
sponsorship	0.0506555
telemarketing	0.0501527
"reserve fund"	0.050066
ODA	0.0499149
gimmickry	0.0497752
mammography	0.0496699
retailing	0.0495887
pan-European	0.0495864
"foreign exchange"	0.0492608
intermediary	0.0491403
transit	0.0490318
"yellow pages"	0.0489287
intraday	0.0484181
procurement	0.0483311
taxation	0.0482786
"computer equipment"	0.0482401
amphetamine	0.0478971
"solar power"	0.0478089
videophone	0.0477509
"money order"	0.0477361
Encryption	0.0475482
filtering	0.0474694
divestment	0.0474096
"parliamentary democracy"	0.0473683
bookkeeping	0.0472669
inter-Korean	0.0471857
resale	0.0471769
"corporal punishment"	0.0470805
prostitution	0.0469915
Renminbi	0.0468612
"manual labor"	0.0466922
"sleight of hand"	0.0466726
servicing	0.0466668
booking	0.0466046
freebies	0.046517
"moral hazard"	0.0464272
pronoun	0.0464063
"tax collection"	0.046365
catering	0.0462263
collaborative	0.0458978
connectivity	0.0458803
"collective bargaining"	0.0458377
"securities trading"	0.045802
"nuclear energy"	0.0457332
"solar energy"	0.0457218
betting	0.0457191
NMD	0.045706
Sino-African	0.0456824
vasectomy	0.0456337
"Bordeaux wine"	0.0455659
billing	0.0455414
Syrian-Israeli	0.0454699
PLDT	0.0454533
syndication	0.0452515
MP@	0.0451716
Instinet	0.045117
diem	0.0451022
"number crunching"	0.0448825
"promissory note"	0.0448486
publishing	0.0447328
"property tax"	0.0447307
sharing	0.0447124
"electronic mail"	0.0446727
LSD	0.0445976
fallback	0.0445599
"price control"	0.0444256
childcare	0.04435
voucher	0.0442986
"B share"	0.0442889
e-business	0.0442173
"hush money"	0.0442003
annuity	0.0440187
severance	0.0438978
"time off"	0.0438957
"back end"	0.0438576
Kleenex	0.0438474
multimillion	0.0438068
telephony	0.0437604
Aventis	0.0436468
compression	0.0436309
AFTA	0.0435868
WPP	0.0434749
write-off	0.0434316
scrip	0.0434261
networking	0.0432521
Cigna	0.0432113
"second hand"	0.0432022
Almighty	0.0431941
"savings bond"	0.0431244
Lilco	0.0431216
"civil disobedience"	0.043072
LNG	0.0430696
"atomic energy"	0.0429276
"million Dollar"	0.0429241
inpatient	0.042773
"free trade"	0.0427674
Trucking	0.0426675
divestiture	0.0426294
"shuttle bus"	0.0425732
personalization	0.0425673
"income tax"	0.0425176
reinsurance	0.0424709
conscription	0.0423077
asp	0.0423003
"insurance premium"	0.0421143
"optical fiber"	0.04209
bribery	0.0420715
"letter of credit"	0.0420711
"germ warfare"	0.0420626
hypnosis	0.0420415
"penny stock"	0.0420175
signaling	0.0419334
Botox	0.0418825
Filtration	0.0418052
"price support"	0.0417591
Israeli-Syrian	0.0417587
mainframe	0.0417401
"sign language"	0.041734
"coaxial cable"	0.0416701
tremolite	0.0416543
bookmark	0.0416015
"wireless telephone"	0.0415418
polygamy	0.0414845
"property right"	0.0414706
insulin	0.04135
))
(Bartholomew (desc 1331.76) (sims
"Jim Harrick"	0.0903976
Havelange	0.0854132
Carollo	0.0803805
Scalia	0.0798579
Milbury	0.0785706
"Sheikh Ahmed Yassin"	0.0780099
Malu	0.0767673
Costas	0.0764294
Souter	0.0742805
Hartsburg	0.0735829
Demaci	0.0725399
Marulanda	0.0719837
DIMON	0.0709616
"Lou Dobbs"	0.0709585
Ruehe	0.0708928
Goff	0.0706485
Klima	0.0705349
Calipari	0.0701365
Yadav	0.0691419
Nasrallah	0.0680904
Verney	0.0680789
Wolfensohn	0.067812
Malawian	0.0677886
Alatas	0.0674991
"Michael Skakel"	0.067331
Beazley	0.0667502
"Robert E. Lee"	0.0665239
Atwood	0.0658934
LeBlanc	0.0655875
Ciampi	0.0653766
Sobel	0.0642421
"Chief Executive Tung Chee-hwa"	0.0641541
Alfonso	0.0639415
Jayakumar	0.0634582
"John Robinson"	0.063441
"King Abdullah II"	0.0634272
Kwasniewski	0.0633244
"Bashkim Fino"	0.0631806
Zuma	0.0626625
Detmer	0.0624619
Nujoma	0.0623766
Croshere	0.0621657
NCEC	0.0618659
Eaton	0.0618263
"de Charette"	0.0618106
Hefner	0.0617971
CWC	0.0603882
"Rick Neuheisel"	0.0603605
"Renato Ruggiero"	0.0603198
"Pope John Paul"	0.0603176
Rehnquist	0.060255
Sundin	0.0602509
Carlson	0.0600652
Azad	0.0600645
Laudrup	0.0600103
"Bill Skate"	0.0599905
O'Connor	0.0599808
"Azizah Ismail"	0.0597817
"Khin Nyunt"	0.0595173
Venables	0.0595096
Ebert	0.0594454
Moratinos	0.0591961
Bulatovic	0.0589686
Cowens	0.0587244
Husseini	0.058662
Sanan	0.058608
Lari	0.0585461
Rifkind	0.0584931
Ruthardt	0.0584482
Contreras	0.0582742
"Derrick Thomas"	0.0579934
Kenyon	0.0579452
Ince	0.0578953
"John Bruton"	0.0578951
"Ray Evernham"	0.0578674
Narayanan	0.057718
Chevenement	0.0576609
Breaux	0.0576431
Zambrano	0.0576362
Komura	0.0575241
Ahtisaari	0.0575088
Russo	0.0572902
Coates	0.0571954
Leno	0.0570573
"Dos Santos"	0.056787
Whipple	0.0566761
"Kim Jong-pil"	0.0563178
Obeid	0.0560832
"King Abdullah Bin Hussein"	0.0560396
"Michel Camdessus"	0.0559837
"Bora Milutinovic"	0.0559275
Gauthier	0.0558427
Isikoff	0.0558358
Vasile	0.0557683
Keegan	0.0556329
Redford	0.0555689
Chubais	0.0555006
"Joao Havelange"	0.0554597
Penders	0.0554201
Chiluba	0.0553908
Aventajado	0.0553534
Daley	0.0551729
CSA	0.0550398
"Robert Aventajado"	0.0550189
picketers	0.0549416
"weather forecaster"	0.0548451
Yassin	0.0547953
Sumaye	0.0546999
Harmoko	0.0546486
Snipes	0.0546426
Alford	0.0544819
Knapp	0.0543024
Tomba	0.054197
adenovirus	0.0541803
"Billy Graham"	0.0541408
Ivester	0.0540563
"Edmund Ho Hau Wah"	0.0539476
STARMEDIA	0.0538125
Tucci	0.0537524
Azizah	0.053557
"Frederick Sumaye"	0.0535158
"Ian Wright"	0.0535077
Alicea	0.053475
Sihanouk	0.0534571
Seleznyov	0.0533986
"Maung Aye"	0.0533624
Shahak	0.0530934
Nunez	0.0530835
"Jordanian King Abdullah Bin Hussein"	0.0530645
Meciar	0.0529785
"Kyle Brady"	0.0529643
Daft	0.0529626
Ritter	0.0529468
Olivares	0.0529042
Shevardnadze	0.0527365
Edberg	0.0525921
Beilin	0.0525337
Wyden	0.0525317
"Jim Leyland"	0.0525047
Karimov	0.0525044
Fernandes	0.0524702
"Lou Holtz"	0.0522298
"Fred Claire"	0.0522144
Holzman	0.0521625
Kissinger	0.0520095
D'Alessandro	0.052001
"Tom Osborne"	0.0519955
"Del Piero"	0.0519486
Ellis	0.0519058
Rashid	0.0518947
Gullikson	0.0518712
McGinnis	0.0518572
Coltrane	0.0518092
"Lee Hamilton"	0.0516057
Couric	0.051553
"Eric Harris"	0.0515041
Barad	0.0514859
"Kenyan Government"	0.0513012
Nzo	0.0512391
Bosman	0.0511567
Wasdin	0.0510371
"Chuck Daly"	0.0510035
Juncker	0.0509362
"M. Douglas Ivester"	0.0509225
Sehorn	0.0509113
Checo	0.0507821
Gardiner	0.0507136
"Log Cabin Republicans"	0.0506906
Scalfaro	0.0506195
Lopes	0.0505645
Grbac	0.0504505
Siazon	0.0503976
Allchin	0.0503906
"Helen Clark"	0.0502053
Rakhmonov	0.0502046
Kasoulides	0.0501636
"Israeli Foreign Ministry"	0.0501469
Gorter	0.0501027
"Arie Luyendyk"	0.0500889
Cavanaugh	0.0500559
"Paul Kagame"	0.0499915
"Wild Party"	0.0499375
Camdessus	0.0498976
Dini	0.0498754
Lazaro	0.0498695
Sommer	0.0498284
Gorbachev	0.049787
Granik	0.0497798
Schell	0.0497235
"Kiichi Miyazawa"	0.0497152
Osborne	0.0496985
JAKES	0.0496923
"United Nations High Commission for Refugees"	0.0496789
Imperatori	0.0496659
Schuerholz	0.0496264
Dobbs	0.0495167
Alarcon	0.0494855
Irvan	0.0494543
Chavalit	0.0493705
Akbar	0.0493492
))
(Bartlett (desc 5225.47) (sims
Lehane	0.094108
Gibbons	0.0916238
Iglesias	0.0873385
Prewitt	0.0873138
Deutsch	0.0869686
"Gary Johnson"	0.0868257
Finkel	0.0867821
Rubenstein	0.0867809
Nickerson	0.0866401
Aguirre	0.086446
Atler	0.0863122
Fagan	0.0853845
Condon	0.0851546
Cheng	0.0850107
Hayworth	0.0845094
Hybl	0.0843789
Barrett	0.0836494
Weiner	0.0833413
Zuma	0.0832621
Valenti	0.0830814
"Joe Lockhart"	0.0828402
Rosenthal	0.0826447
Sharma	0.0826339
Fleischer	0.0824678
Hayden	0.0819004
Browne	0.0814355
Zuckerman	0.0802305
Walser	0.0801345
Schwartz	0.0796237
Wilhelm	0.0786082
Bateman	0.0781513
Goldberg	0.0781045
Gorter	0.0778001
Hoffmann	0.077237
Leavitt	0.0772035
Jaffe	0.0769427
Wolfson	0.0768954
Arias	0.0763068
Levin	0.0761661
Moran	0.0761538
Alatas	0.0761343
Farrakhan	0.0759171
Setzer	0.0756841
Barr	0.0756488
Hauser	0.0755748
Auriemma	0.0754474
Klein	0.0753628
Boehner	0.075185
Eizenstat	0.0750121
Ulrich	0.0749517
Connerly	0.0748715
Barrie	0.0746668
Ebersol	0.0743505
Kaye	0.0743308
Weisman	0.074165
Ruehe	0.0739595
Brundtland	0.0737144
Dixon	0.0735666
Piot	0.07338
Andreychuk	0.073263
Flanagan	0.0732469
beamer	0.0732369
Caddell	0.0731989
Winkler	0.0731555
Donohue	0.0731281
Paxon	0.0727813
Labastida	0.0726854
Gilmore	0.0726817
D'Alessandro	0.072446
Kurtz	0.0724281
Talebi	0.0720685
Wolff	0.0720083
Lau	0.0718632
Khalil	0.071616
Behr	0.0716158
Bulatovic	0.0715711
Gullikson	0.071538
Grossman	0.0715092
Sheehan	0.0715014
Johansson	0.0711277
Aleman	0.0708464
Brock	0.07024
Rashid	0.0701985
Hess	0.0698436
Felten	0.0698348
Jobe	0.0698321
Jensen	0.0697905
Mendez	0.0697353
McDOWELL	0.0696015
Mandelson	0.0695883
nance	0.0695462
McCurry	0.069409
Pollack	0.0692097
Taft	0.0691787
McGuire	0.0691411
Walden	0.0685426
Isner	0.0684642
Richards	0.0684594
"William Weld"	0.0684366
Hardy	0.068427
"Richard Williams"	0.0683086
LaPierre	0.0682973
O'Connell	0.0682853
Rogan	0.0682451
Duffy	0.0682448
Bingham	0.0680613
Siegel	0.067944
Dunn	0.0679059
Solis	0.0678237
Lim	0.0677684
Beasley	0.0676774
McDaniel	0.067645
Sorensen	0.0674994
Schmid	0.0674476
Laudrup	0.0674271
Fong	0.0672268
Allard	0.0671241
Kessler	0.0671043
"Dai Xianglong"	0.0670574
Waddell	0.0669273
Kerrigan	0.0668265
Goldstein	0.0667555
Ortega	0.0667169
Mustafa	0.0666606
Lockhart	0.066648
Demaci	0.0666456
Babbitt	0.0666308
Reichel	0.0664493
Torricelli	0.0664204
Yastrzhembsky	0.0664114
franklin	0.0663765
Bonner	0.0663345
Cline	0.0661127
Voinovich	0.0660578
Krasniqi	0.0660136
guo	0.0660075
McConnell	0.0659407
Moreno	0.0659111
Nader	0.0657524
estes	0.0657523
Hanna	0.0656647
BURNHAM	0.0656122
Kurth	0.0655942
LU	0.0655432
Gomez	0.065532
Barrington	0.0654555
Silva	0.0654302
Azinger	0.0653875
Dowd	0.0652547
Vialli	0.065248
Arum	0.065007
"Sergei Yastrzhembsky"	0.0649267
Cowan	0.0648968
Herron	0.0648383
Ackerman	0.0648217
Malu	0.0648214
Blackwell	0.0647231
"Cindy McCain"	0.0646856
Hecht	0.0643589
Contreras	0.0643134
Slocum	0.0643004
Poole	0.0642936
Brandt	0.0640412
Reiner	0.0639497
Bowen	0.0639301
Yazdi	0.0638821
Aoki	0.0637809
Cornyn	0.0637712
Larson	0.0637426
Donahue	0.06371
Braswell	0.0636429
Katz	0.0635491
Harvey	0.0634283
Boyle	0.0633843
Ruff	0.0633666
"Mike McCurry"	0.0633225
Brenner	0.0632776
Nunez	0.0632598
Berenson	0.0632371
Hersh	0.0631738
Stoneman	0.0631162
Lafontaine	0.0630327
Vogel	0.0629934
Ling	0.0629928
Lessig	0.0628682
Levine	0.0628105
Pappas	0.0628089
Maradona	0.0627592
Nichols	0.0627543
Zhou	0.0626371
Locke	0.0626258
Rendell	0.0626131
Davies	0.0626047
Tverdovsky	0.0625736
Payne	0.06256
Rosenberg	0.0624951
Hasan	0.0624942
Copeland	0.062442
Conroy	0.0623176
Barros	0.0622567
))
(Bartley (desc 1161) (sims
Nickerson	0.1392
D'Alessandro	0.126929
Rubenstein	0.0987874
Daniels	0.0945586
Samuelson	0.0931915
Atwood	0.0891208
Bloch	0.0889387
Tevanian	0.0888941
"De la Cruz"	0.0883058
McCurry	0.0882521
Moser	0.0854541
Meyers	0.083927
Hanley	0.083228
Tanui	0.0831768
Hickman	0.0829221
Talebi	0.0795377
McGovern	0.0788001
Grasso	0.0779762
Segal	0.0778221
Behr	0.0776755
Erwin	0.0771746
Reiner	0.0768523
Nugent	0.076139
Fiorina	0.0761022
Weil	0.0760275
Gravano	0.0753903
TALBOT	0.0753442
Finkel	0.0753138
Weinberg	0.0751948
Sobel	0.0751251
Copeland	0.074763
Schmalensee	0.0746846
Setzer	0.0745804
fuller	0.0744666
Bergeron	0.074461
Levine	0.0740502
O'Neil	0.0739422
Midler	0.0735715
Eisner	0.0728422
Hahn	0.072484
Gullikson	0.0723968
DiCicco	0.0722946
Rau	0.0716264
Larson	0.0714015
Silverstein	0.070613
Lundy	0.0704728
Duffy	0.0703828
Azizah	0.0703756
Blackmun	0.0703358
Hamid	0.0701292
Hage	0.0699967
Morse	0.0698216
Haouari	0.0698213
Klemperer	0.06968
Loeb	0.0695028
Eggers	0.0694414
Fagan	0.069431
Rosenthal	0.0693671
Brandt	0.069128
Salinger	0.0689754
Krugman	0.0688647
Cuomo	0.0684887
Iglesias	0.0681087
sis	0.0680557
Hybl	0.0677819
Ness	0.0676746
Raitt	0.0674842
Shoate	0.0674132
O'Connell	0.0673207
Yoon	0.0673026
lacy	0.0672749
Martorano	0.0668888
Rollins	0.0667697
Zeng	0.0666759
Zuckerman	0.0666202
Keating	0.0665236
McLachlan	0.0663181
"Leigh Ann"	0.0663159
Mahoney	0.0661452
Easley	0.0658744
Sheedy	0.0652346
Harr	0.065174
Durant	0.0651695
Ebersol	0.065035
Leventhal	0.0650163
Gomes	0.064936
Bellush	0.0645339
Cho	0.0642334
Edelstein	0.0639182
Poole	0.0635391
Ratner	0.063513
Kelley	0.0632406
Katz	0.0630762
Ruehe	0.0628804
Lessig	0.062619
Myhrvold	0.0624957
Flores	0.0624271
Soares	0.0621902
Leibovitz	0.0621687
Weisman	0.0620744
Swango	0.0620388
Gritz	0.0620284
Yates	0.0620274
Zwick	0.0619562
Gibbons	0.0619263
Hoddle	0.0618471
Mustafa	0.0617133
Mullen	0.0617071
McNamara	0.06146
Dixon	0.0611992
Healy	0.061043
Lim	0.06104
Bratton	0.0610291
Zuma	0.0610034
Maynard	0.0609925
Ingram	0.0609776
Engel	0.0609686
Phills	0.0609432
Conley	0.060888
Auerbach	0.0606441
Piot	0.0606165
Paxon	0.0605283
Marineau	0.0601878
Sampson	0.0599816
Rylander	0.0597855
Woolley	0.0597459
Galindo	0.0597149
Osborne	0.0596881
Gaston	0.0595886
Bowden	0.059588
Bonanno	0.0595598
Levitt	0.0595341
Espinoza	0.0595287
Leigh	0.0592964
Cornish	0.0592012
Donahue	0.0591057
Stephens	0.0590505
COYNE	0.0590392
"Jack Valenti"	0.0588933
Levin	0.0588908
Monahan	0.0588827
Knowles	0.0588195
Hiett	0.0586816
Ferrer	0.0586715
Goldstein	0.0586084
Slocum	0.0583792
Kaye	0.0583621
Franz	0.0583299
Karimov	0.0582524
Gotti	0.0582057
"Dan Schnur"	0.0581991
Jaffe	0.0580868
Lockhart	0.0580548
Carlin	0.0579393
Duvalier	0.0579053
Puzo	0.0578071
Dickinson	0.0576085
Guthrie	0.0576045
Deutsch	0.0573608
Sund	0.0573203
Kimes	0.0572823
Andersen	0.0570773
Cooke	0.0570765
Sukarno	0.057066
Siegel	0.0570574
Sheppard	0.0570446
"Tom Johnson"	0.0569931
Daley	0.0567215
Macdonald	0.0566781
Cowan	0.0566084
Whaley	0.0566008
Richards	0.0565999
Bessette	0.0565763
"El Hage"	0.0565481
Hanna	0.0565296
McCourt	0.0564853
Valenti	0.0562068
Krall	0.0561534
Hendricks	0.0561512
Briscoe	0.0560942
"Lei Feng"	0.0560298
Blackwell	0.0559832
Webdale	0.0558875
Bakaly	0.0558646
Spielberg	0.0557418
Simons	0.0556066
Schiffer	0.0555667
Baumhammers	0.0554506
Russo	0.0554361
Lugar	0.0554344
Kirk	0.0553742
Coelho	0.0552819
McKenna	0.0552528
Ekeus	0.0551824
Aurelio	0.0551778
Flaherty	0.0549843
Valdez	0.0549835
Jacquet	0.054898
Pollack	0.0548241
Zhivkov	0.0547703
))
(Bartok (desc 3463.5) (sims
Brahms	0.284008
Ravel	0.268063
Debussy	0.256792
Chopin	0.25147
Rachmaninoff	0.236216
Prokofiev	0.231916
Tchaikovsky	0.228598
Webern	0.224466
Mendelssohn	0.222378
Stravinsky	0.206211
Beethoven	0.198467
Schoenberg	0.198224
Shostakovich	0.197319
Mahler	0.194841
Mozart	0.192691
Bach	0.18929
Liszt	0.186102
Schumann	0.184575
Schubert	0.175282
Haydn	0.159649
Vivaldi	0.157649
"Richard Strauss"	0.156445
Copland	0.147565
Britten	0.129304
Harbison	0.117583
Messiaen	0.113261
Elgar	0.111851
Rossini	0.110867
DVORAK	0.109185
Verdi	0.0990704
Strauss	0.0985358
Gershwin	0.096736
Berg	0.0942618
Ives	0.094144
Handel	0.0936092
Bruckner	0.0919476
Gluck	0.0825536
Puccini	0.0792866
Rodrigo	0.0777452
Monteverdi	0.077534
Boulez	0.0765872
Wagner	0.0721496
"John Cage"	0.0713431
Weill	0.0673941
"Philip Glass"	0.0642443
"Aaron Copland"	0.0634089
Berlioz	0.0628827
Bolcom	0.062733
concerto	0.0565029
Hayden	0.0525666
Bernstein	0.0512407
Borodin	0.0511845
Barber	0.0509458
"George Gershwin"	0.0503997
Pushkin	0.0484392
Ellington	0.0471386
Currier	0.0439568
Heyward	0.0438829
Coltrane	0.043034
Yandarbiyev	0.0428382
"Symphony No. @"	0.0428308
Sondheim	0.0426025
"Lei Feng"	0.0422277
Orwell	0.0420508
Joplin	0.0416778
Cobain	0.0410793
Freud	0.0404603
"string quartet"	0.0400298
))
(Bartoli (desc 2166.41) (sims
Krall	0.115475
Doohan	0.110544
Cipollini	0.109249
Tanui	0.106815
Sorensen	0.106219
Pantani	0.103677
Bocelli	0.0974758
Jalabert	0.0971172
Hickman	0.0966129
Cline	0.0964101
Nilsson	0.0963373
Heyns	0.094469
"Jeremy Wotherspoon"	0.094416
"Lasse Kjus"	0.0913751
Tomba	0.0906433
Meissnitzer	0.0890797
Pape	0.088277
O'Sullivan	0.0874003
Rossi	0.0874001
Kurth	0.0867703
"Marco Pantani"	0.0852904
Orton	0.0852035
Szabo	0.0837349
Dandridge	0.0826846
"Johan Museeuw"	0.0822899
Brazile	0.0820982
"Audra McDonald"	0.0819283
Boardman	0.0805303
Streisand	0.0803162
Fleming	0.0797196
Seizinger	0.0792404
Sheedy	0.0791871
Nasrin	0.078514
Bodine	0.0776548
Bening	0.0775214
Zuelle	0.0773924
Huber	0.0772566
Morissette	0.07686
Zanardi	0.0762997
Simone	0.0761525
Ono	0.075514
Horne	0.0754356
Pierson	0.0754341
Schmitt	0.0744819
Cleary	0.0743355
Meissner	0.0742935
Ertl	0.0737557
Edson	0.0737209
Dunleavy	0.0735943
"Alexandra Meissnitzer"	0.0735748
Upshaw	0.0733398
Maier	0.0731888
Goetschl	0.0731273
Chukwu	0.0729173
Schafer	0.0728761
Sainz	0.0724344
Ashrawi	0.0723883
Roba	0.0721414
Bragg	0.072055
Sheehy	0.0720275
Mapes	0.0720101
Wasserstein	0.07177
Caruso	0.0717687
Witherspoon	0.0716294
Markovic	0.07158
Swenson	0.0715723
Fiorina	0.071501
Dion	0.0713695
Manheim	0.0709885
Arron	0.0709849
Trevi	0.0707448
"Thomas Stangassinger"	0.0706555
"Michael Von Gruenigen"	0.0701843
Aoki	0.0697456
Lobo	0.0691561
bock	0.0690305
Briscoe	0.0687541
Villeneuve	0.0685233
Mayer	0.0683878
Adkins	0.0683667
"Bjarne Riis"	0.068362
Domingo	0.0681904
Taufik	0.0680181
Atler	0.0679284
Makinen	0.0676971
"De Bruin"	0.0676548
Woodard	0.0674976
"Renate Goetschl"	0.0674819
Mei	0.06731
Menchu	0.067235
Farrell	0.0670763
Janssen	0.0669908
Wiberg	0.0669137
Greco	0.0666898
Millar	0.0665566
Schumacher	0.0665337
Pavarotti	0.0665282
Tuttle	0.0665242
"Gianni Romme"	0.0658156
Mayfield	0.0657976
Redgrave	0.0657649
McCartney	0.0657255
Popov	0.0657043
Moscoso	0.0656722
"Michele Bartoli"	0.0656245
Tharp	0.0655304
Zellweger	0.0655026
Mathews	0.0652276
"Isolde Kostner"	0.0651918
Barnett	0.0651177
Jeffers	0.0649665
Mckee	0.0648851
"Pernilla Wiberg"	0.0648316
"Hermann Maier"	0.0647833
Scruggs	0.0647333
Hakkinen	0.0645745
Espinosa	0.0644896
Rowley	0.0644377
"Martin Schmitt"	0.0643907
Springsteen	0.0643377
"Hiroyasu Shimizu"	0.0643188
Pappas	0.0641739
Molinari	0.0641001
Grunwald	0.064027
Loroupe	0.0637787
Franz	0.0633839
Mucha	0.0633672
Garber	0.0631936
Lehmann	0.0630507
Henley	0.0629336
"Bjarte Engen Vik"	0.0628363
Inman	0.0627976
Barlow	0.06278
Abram	0.062779
Midler	0.0626781
"Le Jingyi"	0.0626035
Moreau	0.0624945
"Fiona May"	0.0624003
Forrest	0.0623097
Pascal	0.0622812
LeFave	0.0622291
"Deborah Compagnoni"	0.0622173
Schott	0.0621664
Virenque	0.0619856
O'Hara	0.0619562
Bridgewater	0.0618846
Hagen	0.0618068
Hamlin	0.06177
Dench	0.0616757
Salinger	0.0616291
"Chris Boardman"	0.0612024
Alonso	0.0611719
Guthridge	0.0608889
Stephenson	0.060693
Pearce	0.0606027
Godfrey	0.0605582
"Frenchman Laurent Jalabert"	0.0605411
Pena	0.0605038
Flockhart	0.0604517
Kingsley	0.060385
swank	0.0603445
Korman	0.0601279
Jaffe	0.0598543
Hyman	0.0598264
Draper	0.0597813
"Picabo Street"	0.0597766
Antley	0.0597698
Morley	0.0597499
Barad	0.0596426
"Wilson Kipketer"	0.0596044
McDonnell	0.059586
"Dong Jiong"	0.0593898
Oliveira	0.0593837
pressman	0.0592193
McGrath	0.0592018
Deneuve	0.0590389
Knapp	0.0589734
"Max Biaggi"	0.0589344
Rivlin	0.0589041
Paltrow	0.0587357
Gillespie	0.0586543
"Katja Seizinger"	0.0585826
Lockwood	0.0585605
Coulthard	0.058522
Atkinson	0.0584467
Clooney	0.058437
Pippig	0.0583548
Merritt	0.0581179
Greenwald	0.0580781
Wiggins	0.0580749
Quintero	0.0578598
Yoon	0.0578049
McLachlan	0.0577238
Arbour	0.0575788
Montoya	0.0575221
"Martina Ertl"	0.0574923
Taymor	0.057307
Hanley	0.0571862
Weis	0.0571669
Marchand	0.0570173
))
("Bartolo Colon" (desc 3812.66) (sims
"Dave Burba"	0.422337
"Jaret Wright"	0.384168
"Charles Nagy"	0.380351
"Dwight Gooden"	0.283153
"Bret Saberhagen"	0.227347
"Brian Moehler"	0.223764
"Woody Williams"	0.22195
"Paul Shuey"	0.221943
"Mark Langston"	0.218291
"Russ Ortiz"	0.216532
"Chuck Finley"	0.214288
"Brad Radke"	0.208751
"Jon Lieber"	0.206458
"Chris Carpenter"	0.204336
"Gil Heredia"	0.20137
"Javier Vazquez"	0.199477
"Andy Pettitte"	0.191109
"David Cone"	0.187477
"STEVE WOODARD"	0.185604
"Francisco Cordova"	0.184457
"Jeff Weaver"	0.182645
"Pat Hentgen"	0.181563
"Armando Reynoso"	0.180548
"Shane Reynolds"	0.179515
"Kevin Millwood"	0.179255
"Kirk Rueter"	0.178858
"Rick Reed"	0.178751
"Andy Ashby"	0.178714
"Eric Milton"	0.177552
"Bryce Florie"	0.177338
"Jason Schmidt"	0.175658
"John Smoltz"	0.175384
"Steve Parris"	0.173536
"Kevin Tapani"	0.173119
"Mark Gardner"	0.171969
"Ken Hill"	0.170162
"Mark Portugal"	0.168424
"Pete Harnisch"	0.16836
"Esteban Loaiza"	0.168303
"Ramon Martinez"	0.16757
"Mike Mussina"	0.167555
"John Burkett"	0.165627
"Masato Yoshii"	0.164366
"Jim Thome"	0.163826
"Sidney Ponson"	0.163612
"Orlando Hernandez"	0.163403
"Rick Helling"	0.162318
"Pat Rapp"	0.16227
"Scott Erickson"	0.162034
"Paul Abbott"	0.160789
"Pedro Astacio"	0.160018
"Mike Sirotka"	0.159938
"Sterling Hitchcock"	0.159523
"Orel Hershiser"	0.15801
"Rolando Arrojo"	0.157996
"Jamey Wright"	0.157245
"Darryl Kile"	0.157225
"Denny Neagle"	0.156885
"Tim Hudson"	0.156297
"Jason Bere"	0.15622
"Steve Trachsel"	0.156202
"Kevin Appier"	0.155776
"Omar Vizquel"	0.155493
"Scott Elarton"	0.155364
"Jesus Sanchez"	0.15467
"Jin Ho Cho"	0.154605
"Andy Benes"	0.154215
"John Snyder"	0.153466
"Jim Parque"	0.153286
"Shawn Estes"	0.153077
"BRIAN MEADOWS"	0.152212
"Jamie Moyer"	0.152094
"Ron Villone"	0.151642
"Sandy Alomar"	0.151339
"Scott Williamson"	0.151071
"Roger Clemens"	0.15002
"Wilson Alvarez"	0.149581
"Omar Olivares"	0.149283
"Kenny Rogers"	0.149219
"Carl Pavano"	0.148937
"Manny Ramirez"	0.148844
"Brian Bohanon"	0.148462
"Matt Morris"	0.148431
"Mark Clark"	0.148387
"Aaron Sele"	0.148095
"Jack McDowell"	0.148086
"Paul Byrd"	0.147764
"Brian Rose"	0.147587
"Dave Mlicki"	0.147337
"Curt Schilling"	0.147173
"Tim Wakefield"	0.146579
"Kevin Brown"	0.146522
"Todd Stottlemyre"	0.146226
"Mac Suzuki"	0.144732
"Greg Maddux"	0.14436
"Jose Jimenez"	0.144167
"Gil Meche"	0.144111
"Chris Holt"	0.144012
"Ryan Dempster"	0.143597
"Al Leiter"	0.142902
"Bruce Chen"	0.142488
"Mike Hampton"	0.141734
"Brett Tomko"	0.141646
"Byung-Hyun Kim"	0.141535
"Freddy Garcia"	0.140757
"Ramon Ortiz"	0.14061
"Jason Dickson"	0.140482
"Kent Bottenfield"	0.140183
"Richie Sexson"	0.140163
"Joey Hamilton"	0.140111
"Dustin Hermanson"	0.139824
"Octavio Dotel"	0.138833
"Travis Fryman"	0.138583
Harnisch	0.138489
"Sean Bergman"	0.136767
"Hideki Irabu"	0.136246
"Tim Belcher"	0.136108
Dempster	0.135695
"Tom Candiotti"	0.135196
"James Baldwin"	0.134941
"Bill Pulsipher"	0.133838
"Pete Schourek"	0.133409
"Darren Oliver"	0.133007
"Terry Mulholland"	0.132763
"Danny Graves"	0.132356
"Jeff Fassero"	0.131192
"Jose Lima"	0.131189
"Chan Ho Park"	0.130139
"Ken Cloude"	0.130115
"Kent Mercker"	0.129815
"Kerry Wood"	0.129729
"Steve Sparks"	0.129669
"John Halama"	0.129305
"Willie Blair"	0.128665
"David Wells"	0.128286
"Livan Hernandez"	0.127883
D'Amico	0.127352
"Roberto Alomar"	0.127122
"Tom Glavine"	0.126139
Bottenfield	0.125349
"Ramiro Mendoza"	0.125107
"Jason Grimsley"	0.125094
"Robb Nen"	0.124733
"Scott Schoeneweis"	0.124718
"Mike Morgan"	0.124521
"Pedro Martinez"	0.124282
"Russ Springer"	0.123742
"Scott Karl"	0.123164
Benes	0.122986
"Brian Cooper"	0.12261
"Hideo Nomo"	0.122457
Hermanson	0.122129
"Darren Dreifort"	0.122014
Rueter	0.121675
"Ryan Glynn"	0.121548
"Mike Jackson"	0.121321
"Kenny Lofton"	0.121299
"John Wasdin"	0.121167
Rusch	0.120819
"Matt Herges"	0.120094
"Alex Fernandez"	0.119747
"Steve Avery"	0.119292
Pavano	0.11884
"Brett Hinchliffe"	0.118815
"Jose Mesa"	0.118496
"Ismael Valdes"	0.118456
"Al Levine"	0.117502
"Juan Guzman"	0.117224
"Shigetoshi Hasegawa"	0.116832
"Omar Daal"	0.11617
"Brian Anderson"	0.116143
Hentgen	0.115579
Moehler	0.11499
"Einar Diaz"	0.114695
Elarton	0.114507
Daal	0.1139
Millwood	0.112092
Lieber	0.111913
Parris	0.11163
"Matt Mantei"	0.111292
Burba	0.111005
Kile	0.110911
Glavine	0.110823
Mahomes	0.110011
"Jamie Arnold"	0.10942
Trachsel	0.109274
Ankiel	0.10854
"Bob Feller"	0.108067
"Mark Petkovsek"	0.107835
"Mike Judd"	0.107664
"Bobby Jones"	0.107475
"Brad Penny"	0.107272
Nagy	0.107085
"Mike Timlin"	0.10547
"Doug Henry"	0.105036
Belcher	0.10433
"Justin Thompson"	0.102848
Checo	0.10244
Tapani	0.101834
colon	0.101398
Radke	0.101322
"Jeff Nelson"	0.101077
"Derek Lowe"	0.101018
"Vladimir Nunez"	0.100759
"Mark Wohlers"	0.100701
"Arthur Rhodes"	0.100558
Schourek	0.100242
))
(Barton (desc 10295.6) (sims
"Mark O. Barton"	0.159172
"Mark Barton"	0.156009
Ashbrook	0.117791
Sheppard	0.115532
Neulander	0.112511
Levin	0.103469
Skakel	0.101639
gunman	0.10038
Cooke	0.0988523
Moxley	0.0981497
McIntosh	0.0970318
Capps	0.0954895
Hensley	0.095312
Resendez-Ramirez	0.0950231
furrow	0.0924
Moakley	0.091608
Napolitano	0.0914105
Doggett	0.0913999
Larson	0.0910452
Sund	0.0899687
Silverman	0.0881485
Baumhammers	0.0879276
McInnis	0.0878137
attacker	0.0859392
Watkins	0.0856589
Danner	0.0854753
Waxman	0.0853805
"Russell Peeler"	0.0847522
Sarsour	0.0846403
Binion	0.0841708
Stayner	0.0840109
Nathaniel	0.0837104
Falater	0.083611
Weston	0.0834112
Baez	0.0832729
Sakic	0.0832183
Hobson	0.0826828
"El Hage"	0.0823046
Byrd	0.0821798
Ramsey	0.0803933
Kimeses	0.0803207
O'Hair	0.0802594
Dorismond	0.0798505
assailant	0.0796795
Meehan	0.0795824
Kaczynski	0.0794577
Northup	0.0792191
Kopp	0.0790072
Onassis	0.0788274
"Michael Skakel"	0.0785202
Jewell	0.0782817
Diallo	0.0782363
Hess	0.078133
Mease	0.0780676
McGinn	0.0778042
Deutsch	0.077777
Kimes	0.0777737
Gonzalez	0.0777164
Blackthorne	0.0771968
Weldon	0.0770751
Gravano	0.0769698
Engel	0.0768052
"Maturino Resendiz"	0.0765735
Evans	0.0764819
gunmen	0.0764338
Anthony	0.0761576
Dixon	0.0761399
Woodward	0.0759356
Jelisic	0.0758162
Goldstein	0.0757288
Yates	0.0754612
Lin	0.0753255
Gutierrez	0.0751451
Hamid	0.0751309
McHugh	0.0749347
Goodman	0.0749269
Woodson	0.0747698
Fagan	0.0747073
Metcalf	0.0745611
Houghton	0.0743304
Lawler	0.0738137
"Dylan Klebold"	0.0737679
McNulty	0.0735642
Chmura	0.0734719
Sheinbein	0.073432
Cruz	0.072927
Klebold	0.0728507
Shepard	0.072382
Nadler	0.0721146
Bliley	0.0721105
Khalil	0.0720661
JonBenet	0.0717765
Robison	0.0716799
Cummings	0.0716277
Moran	0.0714655
Al-Amin	0.0713934
Gibson	0.0713281
Lee	0.0713153
McDermott	0.0710778
Conroy	0.070842
Mendez	0.0708195
Doyle	0.0705981
Bellush	0.0705273
Solomon	0.0704535
Wilkerson	0.0704345
Haney	0.0704235
Delahunt	0.0701912
Quinn	0.0701641
Meeks	0.0700801
Puzo	0.0699258
Barrett	0.0696858
Linder	0.069651
MCGEE	0.0695808
Berkowitz	0.069506
Lowey	0.0694862
xu	0.0693304
"Maturino Resendez"	0.0693246
Pamela	0.0692458
Carruth	0.0691321
Simpson	0.0690679
Foley	0.0688509
robber	0.0687005
Berenson	0.0685389
Adair	0.0684688
Dooley	0.0683809
Abiola	0.0683445
Lyons	0.0682353
Blackman	0.0681758
Rodriguez	0.0681573
Strickland	0.0681306
Alvarez	0.0679252
Garza	0.0678641
Gotti	0.067818
fisher	0.0677787
Kodikian	0.0677755
Sharma	0.0676808
Einhorn	0.0676719
Fahey	0.067595
Menendez	0.0675654
Condit	0.0675439
McIntyre	0.0673077
Romanowski	0.0671714
McDougal	0.0670763
Batouty	0.0670731
Nelson	0.0670111
Hersh	0.0669443
Barr	0.0669027
Payne	0.0668134
Porter	0.0668044
Kelly	0.0666733
COYNE	0.0666391
Ortiz	0.0665888
Marcos	0.0665698
Hoffman	0.0665314
Nasrin	0.0664986
Flores	0.066494
Swango	0.0664932
Abernathy	0.0664767
Hiett	0.0664582
Frankel	0.0664546
Schwarz	0.0664391
Brady	0.0663496
Schmitz	0.0663469
Flemmi	0.0663468
Vasquez	0.0663431
Horowitz	0.0662922
Thompson	0.0660744
Brock	0.0660488
Ganga	0.0660127
Anwar	0.06596
"Griffith Joyner"	0.0659091
Taylor	0.0658774
Edwards	0.0658108
Schwartz	0.0658043
Markey	0.0657355
Whaley	0.0656615
Tuinei	0.0656366
Greenberg	0.0655654
Petersen	0.0654125
Cunningham	0.0653977
Grasso	0.0651152
Cochran	0.0651074
Moore	0.0651056
Harris	0.0650803
Reyes	0.0650153
Karr	0.0649129
Kolbe	0.0649078
Wilder	0.0647531
Musa	0.0646841
Peterson	0.0646704
Wallace	0.0646638
Crawford	0.0646565
Gritz	0.0646293
"Juan Miguel"	0.0646287
Ramirez	0.0646063
Berman	0.0645592
Nanula	0.0644694
"Ruiz Massieu"	0.0644661
Kiareldeen	0.0643615
Armstrong	0.0643402
))
(Baryshnikov (desc 1612.91) (sims
"Mikhail Baryshnikov"	0.134429
"W.C. Fields"	0.0781962
"Ballet Theater"	0.074426
Cliburn	0.0698627
"American Ballet Theater"	0.0680469
Pryor	0.065655
"Dirty Bird"	0.0629635
Bogle	0.0611238
Yoakam	0.0594794
"Fred Astaire"	0.0592311
Rivlin	0.0578092
Hartman	0.057395
"Berlin Philharmonic"	0.0570191
Balanchine	0.0563647
"Philadelphia Orchestra"	0.0563155
Grammer	0.0555857
"Akira Kurosawa"	0.0553752
Panchen	0.0553042
Velayati	0.0538081
"Tina Turner"	0.0532444
"Rod Stewart"	0.0531785
Sheedy	0.053132
Astaire	0.0531163
Aliyev	0.0530537
trotter	0.0529098
Gielgud	0.0518983
"Marx Brothers"	0.0518879
Wheatley	0.0516321
Lipponen	0.0509217
Blanchett	0.0501689
Goya	0.0499642
"New York City Opera"	0.0498707
Sharaa	0.0490096
Hartley	0.0487053
"dollar sign"	0.048413
Ingraham	0.0482503
"Johnny Cash"	0.0482234
Penders	0.0479209
Giacometti	0.0475353
Nailon	0.0474142
Giselle	0.0473238
Rhonda	0.0472159
third-graders	0.04719
Ozawa	0.0469315
Brister	0.0468949
Wendt	0.0467972
Kozeny	0.04674
Pacino	0.0466906
Guido	0.0466517
Maag	0.0465083
"legal principle"	0.0461702
miro	0.0460773
Diouf	0.0460335
Malkovich	0.0459292
Weinstein	0.0454321
Scalfaro	0.0454049
Pavarotti	0.0450297
Sanan	0.044988
"Chief Executive Tung Chee-hwa"	0.0449511
Bocelli	0.0449333
Cornelius	0.0447987
"Royal Ballet"	0.0446067
Villalonga	0.0444953
Raphael	0.0442846
android	0.044281
Brinkley	0.0442679
Streep	0.0440024
Wiatt	0.0439929
Jimy	0.0439838
Fech	0.043674
Braugher	0.0436243
"Marilyn Monroe"	0.0433281
Zadornov	0.0433182
"Jackie Chan"	0.0430144
Ohlmeyer	0.0429911
Pierson	0.0428615
Eubanks	0.0427191
Taufik	0.0425561
Winslet	0.0425024
"Jim Morrison"	0.0424973
Perec	0.0424386
Linus	0.0423369
Brosnan	0.0422696
Nickerson	0.0422503
Salome	0.042148
Machado	0.0420348
"Brian Wilson"	0.0420263
Rauschenberg	0.0419898
Mellencamp	0.0418734
Lepage	0.0418413
Henning	0.0417731
Puente	0.0416579
Raitt	0.0415933
Farrell	0.0415794
Azad	0.0413976
Ekeus	0.0413533
"John Cage"	0.041345
Posner	0.0413112
Rossello	0.0412774
Komura	0.0412477
"Royal Shakespeare Company"	0.0410045
Limon	0.0409183
Finkel	0.0408896
VFW	0.0406934
Guan	0.0406754
Colangelo	0.0405387
Harkes	0.0405044
Verney	0.040456
Neulander	0.0404459
Anand	0.0404199
Streisand	0.0403786
Gatling	0.040377
Schaeuble	0.0403046
Berra	0.040216
Ratner	0.0401561
))
(Barzani (desc 1377.76) (sims
Ikeda	0.1879
Moratinos	0.17142
Jayakumar	0.16751
Komura	0.166163
Guterres	0.143163
Scalfaro	0.142859
Phieu	0.141449
Velayati	0.13988
"de Charette"	0.136662
Pustovoitenko	0.134988
Granic	0.132984
Ben-Ami	0.132931
Constantinescu	0.132193
Azad	0.130549
Diouf	0.129813
Surin	0.12874
Pickering	0.128167
Holl	0.127698
"Kurdistan Democratic Party"	0.126733
Stoyanov	0.126522
Kostov	0.126051
Sahnoun	0.123128
Shevardnadze	0.122663
Kwasniewski	0.121994
Brahimi	0.121877
Cem	0.121803
"De Soto"	0.120671
Shamshad	0.117403
Luong	0.117065
Kabariti	0.116561
Rifkind	0.116338
Lipponen	0.115959
Shareh	0.11586
Gaddafi	0.115401
Kok	0.115322
Rodionov	0.11516
Tarawneh	0.114598
Rabbani	0.113471
Iliescu	0.113402
Xiong	0.112277
Hrawi	0.111337
Ahtisaari	0.10887
Juncker	0.107549
Dini	0.106881
Klima	0.106821
Meles	0.106452
Akayev	0.106347
Meguid	0.10621
Khaddam	0.106043
Ganzouri	0.105885
Vollebaek	0.104885
Kasoulides	0.104196
Wolfensohn	0.103578
Pangalos	0.103507
Banharn	0.103319
Narayanan	0.101781
Grachev	0.101076
Siazon	0.101006
Camdessus	0.0995582
al-Shara	0.0992792
Berri	0.099201
Nujoma	0.0990763
Orban	0.0981977
Rong	0.0980912
Indyk	0.0975259
Zou	0.0974865
Rakhmonov	0.0972808
"Jordanian King Abdullah Bin Hussein"	0.0972352
Majali	0.0971931
Alatas	0.0967211
Kumaratunga	0.0962086
Mkapa	0.0960582
Gujral	0.0953389
Kharrazi	0.0952756
Niyazov	0.0950762
Kromah	0.0949801
Iglesias	0.0947743
Chavalit	0.0947692
Kono	0.0943921
Vedrine	0.0943808
Vasile	0.0943649
Ruthardt	0.0941165
Guei	0.094022
Jovanovic	0.0937239
Deuba	0.0936279
"Joint Liaison Group"	0.0934504
Shara	0.0929878
"Abidine Ben Ali"	0.0928201
Ciampi	0.0923214
Karimov	0.092246
Abdel-Meguid	0.0921646
KDP	0.0919981
Zeroual	0.0918047
Nzo	0.0917867
Ecevit	0.0917679
Axworthy	0.0915801
Santer	0.0915537
Koo	0.0914559
Shahak	0.0913435
Gowda	0.0912572
al-Sahhaf	0.0912495
Fino	0.0907986
Azizah	0.090476
Arens	0.0900723
Qiao	0.0900079
Clerides	0.0899917
Talbott	0.0899092
"Dos Santos"	0.0898563
Hekmatyar	0.0897425
Yandarbiyev	0.0897254
Zhirinovsky	0.0896352
Stephanopoulos	0.0895337
Aznar	0.0894787
"Cambodian King Norodom Sihanouk"	0.0894409
"H.D Deve Gowda"	0.0891571
Klestil	0.0886288
Muluzi	0.0886165
al-Sahaf	0.0885015
"Maung Aye"	0.0882781
Barshefsky	0.0882293
Kagame	0.0879013
Saleh	0.0878063
Ivanov	0.0875476
Frei	0.0875407
Khai	0.0872189
Buyoya	0.0870271
Garang	0.0868159
Ogata	0.0865927
Bashir	0.0865664
Ruehe	0.0861778
Buzek	0.0861646
"Wim Kok"	0.0860378
"Vo Van Kiet"	0.0852611
Xanana	0.085084
Chissano	0.0850188
al-Hariri	0.0847036
Nazarbayev	0.0844074
Brittan	0.0843903
Kuchma	0.0839753
Aliyev	0.0838766
Simitis	0.083522
Soares	0.0835025
"Bashkim Fino"	0.083502
Carollo	0.0832622
"Li Ruihuan"	0.0831557
"Prime Minister Banharn Silpa-Archa"	0.0831262
Bouteflika	0.082551
Bolger	0.0824748
"Than Shwe"	0.082284
Husseini	0.0815657
Tarrin	0.0814337
Seleznyov	0.0811672
Weizman	0.0807344
Sharaa	0.0804807
Atto	0.080282
Ekeus	0.0802014
Hamad	0.0796467
Sergeyev	0.0795065
"Strobe Talbott"	0.0793908
Aziz	0.0793752
millon	0.0788927
Dehaene	0.0786376
Milutinovic	0.078247
Museveni	0.0781577
Insulza	0.0777553
"Prime Minister Kamal El-Ganzouri"	0.0776328
Leghari	0.0775781
Musharraf	0.0774748
Milo	0.0774178
Masire	0.077349
Ingraham	0.0769898
Bustamante	0.0769226
Menem	0.0769048
"Rodney Slater"	0.0766922
"Chief Executive Tung Chee-hwa"	0.0762811
Severino	0.0762501
Kinkel	0.0761184
Prueher	0.0756789
Modise	0.07558
Sampaio	0.0755403
Aideed	0.0753897
al-Bashir	0.0752906
Schuessel	0.0750921
Hanley	0.0748952
Banzer	0.0747479
Nateq-Nouri	0.0747235
Goh	0.074604
"Defense William Cohen"	0.0744831
Manley	0.0743805
Qian	0.0741893
Lamberth	0.074103
"Ung Huot"	0.0735824
Demirel	0.0731074
Hariri	0.0730258
"Tareq Aziz"	0.0729983
Savimbi	0.0729256
Moussa	0.0728704
Erbakan	0.0727758
"Koo Chen-fu"	0.0727139
Persson	0.0725607
))
(basalt (desc 1454.68) (sims
limestone	0.138188
granite	0.137626
shale	0.128131
"reddish brown"	0.127925
sandstone	0.108824
quartz	0.0752189
stucco	0.0731411
cinder	0.0727459
lava	0.0678399
"terra cotta"	0.0637468
Nikki	0.0613874
Thurber	0.0580119
"Earth's crust"	0.0542181
charcoal	0.0527945
pebble	0.0516839
frisee	0.0507504
procreation	0.0501148
"Blue Ridge"	0.0492253
plasterboard	0.0491107
miso	0.0477734
soot	0.0466889
riverbed	0.0463104
glam	0.0445463
snakeskin	0.0442967
"sheet metal"	0.0434755
filament	0.0430728
tripe	0.0425885
"dark red"	0.0423657
gemstone	0.0423272
granola	0.0416349
wallboard	0.0416296
pigment	0.0416098
"raw meat"	0.0415521
"cinder block"	0.0414881
minicomputer	0.0413937
styrofoam	0.0408911
outcrop	0.040834
Erythropoietin	0.0405096
))
(Basayev (desc 3009.5) (sims
"Shamil Basayev"	0.226309
Raduyev	0.131835
Maskhadov	0.122444
Kasyanov	0.117232
Mikhailov	0.116746
Krstic	0.115941
Garang	0.115582
Dudayev	0.114389
Rodionov	0.112072
Bulatovic	0.111328
Masood	0.11126
Wahhabis	0.110522
Gantamirov	0.110374
Aidid	0.107639
Koirala	0.107418
Chevenement	0.105871
Ecevit	0.105815
Koroma	0.103586
Prabowo	0.103483
Sankoh	0.103035
"Bin Laden"	0.101591
Izetbegovic	0.101107
Katsav	0.1001
Lebed	0.099755
Turabi	0.0989399
Speight	0.0972604
Kazhegeldin	0.0972102
Misuari	0.0950688
Erbakan	0.0950298
"Kim Jong-pil"	0.0947456
Ruehe	0.0944121
Ghalib	0.0936884
Kurth	0.0936486
Yazdi	0.0935541
Guei	0.0924341
Cavallo	0.0918069
Yandarbiyev	0.0915039
Krajisnik	0.0912676
Mokhehle	0.0907611
Stepashin	0.090356
Musharraf	0.0903186
Cubas	0.0902858
Seselj	0.0901287
Kalejs	0.0899364
Schaeuble	0.0898018
Abdel-Meguid	0.0887592
Kaunda	0.0880084
Advani	0.0878167
Ota	0.0873447
Ritter	0.0872448
Mandelson	0.0872074
Ouattara	0.0871848
Dodik	0.0870857
Khattab	0.0869071
Kagame	0.0865118
Arizmendi	0.0863469
Yastrzhembsky	0.0860503
Lazarenko	0.0852368
Berlusconi	0.0851871
Mordechai	0.0839646
Malik	0.0820242
Papon	0.0818888
Savimbi	0.0817296
"Ali Mahdi"	0.0816908
Buthelezi	0.0815076
Thaci	0.0814374
Nkabinde	0.0813277
Boesak	0.0810805
Blatter	0.0810726
Ciampi	0.0808383
Wiranto	0.0808088
"Al Fayed"	0.0804828
Havelange	0.0802828
Gusmao	0.0798872
"Vuk Draskovic"	0.0796317
Tarawneh	0.0795465
Kulikov	0.0794434
Maslyukov	0.0794261
Nebiolo	0.0792108
McConnell	0.0790537
Kambanda	0.0788863
Zadornov	0.0788185
Paciello	0.0786603
Sharansky	0.0784633
Borodin	0.0784589
Marulanda	0.0780837
Bildt	0.0775538
Chuan	0.0774069
"Abu Nidal"	0.077334
Chechen	0.0769019
Majko	0.0767772
Trimble	0.0765555
Zacarias	0.0764574
Nkomo	0.0763854
MIYAZAWA	0.0763446
Chubais	0.0763412
Obeid	0.0761846
Faget	0.0760697
Wamba	0.0759011
Nouri	0.0758611
Walesa	0.0758114
Banzer	0.0756812
Kromah	0.0753068
Harmoko	0.0751088
Farrakhan	0.0750856
"Yitzhak Mordechai"	0.0750124
Sherrill	0.0749391
"Dai Bingguo"	0.0748837
Saleh	0.0748375
Imperatori	0.0748021
Nemtsov	0.0747961
Lissouba	0.0745242
"George Speight"	0.0744992
Arens	0.0744802
Moscoso	0.074422
Raznatovic	0.0743794
Yilmaz	0.0742482
Shahak	0.0738632
Laden	0.0734969
"H.D Deve Gowda"	0.0734278
Ashrawi	0.0733663
"Virtue Party"	0.0731627
Espinosa	0.0729283
Luzhkov	0.0727643
Kumaratunga	0.0727375
Meskini	0.0727218
Aliotti	0.072675
Mugabe	0.0725241
"Roosevelt Johnson"	0.0723898
Adair	0.072336
Taubman	0.0719957
Fernandes	0.071943
Koch-Weser	0.0716131
Berisha	0.0715014
Nyerere	0.0714774
"Ruiz Massieu"	0.071385
Demaci	0.0712041
Hiett	0.071163
Jayalalitha	0.0710653
Sakic	0.0706539
Chand	0.0706486
Meciar	0.0706414
Moratinos	0.0706309
Rifkind	0.0706265
"Sam Rainsy"	0.0704922
Kony	0.0704022
Hamid	0.0700694
Bakaly	0.0700563
Berezovsky	0.0700044
Kiareldeen	0.0696853
Einhorn	0.0695394
BNFL	0.0694664
Pippig	0.0694497
Hoss	0.0692565
"Pandeli Majko"	0.0691079
Aleman	0.0691075
"Faisal Husseini"	0.0689879
Baz	0.0689012
Bouteflika	0.0688476
Zuma	0.0687654
"Hun Sen"	0.0686319
Azizah	0.0685098
Rao	0.0682864
"Foday Sankoh"	0.0682723
Waigel	0.068246
Hirschbeck	0.068147
Megawati	0.0681335
Primakov	0.0680735
Eizenstat	0.0680676
McCaffrey	0.0679089
"Carlos Salinas"	0.0678512
warlord	0.0678204
Osama	0.0678091
Prueher	0.0677293
Montesinos	0.0675553
Hekmatyar	0.0674812
Mladic	0.0674415
Masire	0.0674274
Al-Amin	0.067385
"Ariel Sharon"	0.06736
Ralston	0.0672828
Scharping	0.0672723
Stayner	0.067154
Bhattarai	0.0671472
Reimer	0.0670728
Erekat	0.0670267
Lahoud	0.066822
Yoo	0.0666917
Chavalit	0.0666632
Chaudhry	0.0665848
Hersh	0.0665306
Squier	0.0664899
Gowda	0.0663837
Neeman	0.0663575
Fordice	0.066338
Sergeyev	0.0662911
Berri	0.0662501
Krasniqi	0.0662295
Cianci	0.0662154
Abbas	0.0662016
))
(base (desc 216529) (sims
"air base"	0.173232
center	0.133454
facility	0.126767
airport	0.123882
headquarter	0.121878
area	0.120718
camp	0.119446
site	0.115309
village	0.112304
stronghold	0.110727
factory	0.108437
port	0.105997
plant	0.105201
airbase	0.103591
city	0.103579
station	0.101504
home	0.10123
"army base"	0.101212
town	0.101124
location	0.100936
zone	0.100338
complex	0.098003
airfield	0.0979477
building	0.097188
depot	0.096948
barrack	0.0960706
target	0.0952244
force	0.0900056
field	0.0872015
embassy	0.0859781
infrastructure	0.0859717
farm	0.0858476
office	0.0857822
hideout	0.0856002
hospital	0.0855022
operation	0.0849568
land	0.0848894
park	0.0847313
market	0.0844641
hotel	0.0841837
territory	0.0839491
outpost	0.0838583
position	0.0836561
unit	0.0836423
project	0.083169
region	0.0826577
troop	0.0825524
network	0.0825201
campus	0.0824958
ground	0.0824852
province	0.0815956
system	0.0809574
hub	0.0806308
structure	0.0805438
island	0.0802532
business	0.0801875
"power station"	0.0800223
capital	0.0799316
installation	0.0798029
"military installation"	0.0791047
checkpoint	0.0787093
"power plant"	0.078307
house	0.078288
Warehouse	0.0782596
compound	0.0779583
place	0.0779333
reserve	0.07786
school	0.0775438
refinery	0.0772213
airstrip	0.0765228
one	0.0764683
residence	0.0763623
industry	0.076353
mine	0.0762664
sector	0.0756511
destination	0.0755115
community	0.0753412
border	0.0752974
terminal	0.0752313
resource	0.0751935
aircraft	0.0746895
store	0.0741451
enterprise	0.0740814
resort	0.0739733
district	0.0736239
bridge	0.0726842
country	0.0724004
institution	0.0717999
group	0.0717579
north	0.0715574
company	0.0714927
service	0.0714566
spot	0.0712027
prison	0.0710932
RBI	0.0709773
post	0.0709187
laboratory	0.070908
museum	0.0708851
plane	0.0707244
ship	0.0707089
road	0.070688
presence	0.0703729
property	0.0703239
lab	0.0702334
bank	0.0700259
part	0.0698589
foundation	0.069676
"police station"	0.0691529
activity	0.0689518
program	0.0689429
branch	0.0688963
Mission	0.0688152
support	0.0687252
edge	0.0686813
stadium	0.0683861
point	0.0678508
development	0.0676458
platform	0.0676252
side	0.0675702
sanctuary	0.0674145
reservoir	0.0673305
fleet	0.0672347
organization	0.0670018
source	0.0669404
equipment	0.0666729
headquarters	0.0665971
"industrial park"	0.0665802
state	0.066575
enclave	0.0664265
church	0.0660529
"oil refinery"	0.0658859
space	0.0657841
top	0.0657683
strikeout	0.0657207
number	0.0654875
hit	0.0654793
forest	0.0653975
range	0.0653761
venue	0.0653533
military	0.0653422
army	0.0653369
highway	0.0649846
mountain	0.0648873
palace	0.0648669
production	0.0648197
beach	0.0647947
level	0.0647194
street	0.0646479
shelter	0.0646231
garrison	0.0645979
neighborhood	0.0645849
vehicle	0.0645795
front	0.0642234
people	0.0642037
dam	0.0641845
two	0.0640676
route	0.0638486
fund	0.0636136
line	0.0635975
population	0.0635289
weapon	0.0634589
pool	0.063376
investment	0.0632817
ranch	0.0632506
lake	0.0632456
missile	0.0632176
power	0.0631504
"home run"	0.0627295
block	0.0627109
product	0.0626654
university	0.0626281
capability	0.0624163
restaurant	0.0622709
opportunity	0.0622678
institute	0.0621328
rebel	0.0618717
haven	0.0617411
asset	0.061716
track	0.0616027
apartment	0.0615081
environment	0.0614199
pipeline	0.0614018
fighter	0.0613428
cemetery	0.0613069
price	0.0612997
first	0.0612854
mill	0.0612179
settlement	0.0611648
bunker	0.0610984
soldier	0.0610741
agency	0.0610538
economy	0.0610311
capacity	0.0609647
section	0.060915
technology	0.0608377
helicopter	0.0607662
shop	0.0607575
demand	0.0605691
command	0.0605201
plantation	0.0604121
))
("base hit" (desc 7035.5) (sims
"sacrifice fly"	0.195717
single	0.195234
groundout	0.184419
triple	0.165479
grounder	0.16483
"wild pitch"	0.162583
homer	0.152914
"solo homer"	0.152124
bunt	0.151319
"ground ball"	0.149921
two-out	0.148841
"unearned run"	0.14127
balk	0.136581
"home run"	0.133569
"seventh homer"	0.130877
groundouts	0.129967
"third homer"	0.127352
baserunners	0.126586
"grand slam"	0.120194
"line drive"	0.117131
"second homer"	0.114113
"four homers"	0.11244
strikeout	0.112326
"fly ball"	0.108437
one-out	0.108101
doubles	0.105173
"three homers"	0.103916
"two homers"	0.103535
"base runner"	0.100985
"first homer"	0.100357
RBI	0.100104
"service break"	0.100056
no-decisions	0.096283
"double play"	0.0950007
liner	0.0924665
"six homers"	0.0919482
error	0.0916252
"earned run"	0.090682
infield	0.0899435
"fifth homer"	0.0895763
blooper	0.0870471
"five homers"	0.0853169
chopper	0.0852666
baserunner	0.0846167
"seven homers"	0.0840044
"eight homers"	0.0829505
outs	0.0818242
"break of serve"	0.0803707
"one homer"	0.0780398
singles	0.0780035
bloop	0.0772978
"running play"	0.0770265
"pop fly"	0.0763781
"No. @s"	0.073396
smooch	0.0726028
"nine homers"	0.0684874
flyout	0.0683469
popup	0.0681564
"Gold Gloves"	0.0681358
"elbow room"	0.0678489
"day of rest"	0.0670537
layups	0.0666015
"speeding ticket"	0.065993
comebacker	0.0658781
"foul ball"	0.065725
at-bat	0.0641822
oomph	0.0641067
three-pointers	0.0639109
"batting average"	0.0637199
batsmen	0.0628084
no-decision	0.0626675
shutout	0.0621026
"screen pass"	0.062012
"British Opens"	0.0616397
"leading off"	0.0610193
"sixth homer"	0.0604169
fillip	0.0599723
Trey	0.0599321
"field goal"	0.0599007
batsman	0.0596981
roller	0.0591914
birdie	0.05865
"free throw"	0.0581756
"Cy Young Awards"	0.0577962
"three sacks"	0.0577487
"extra points"	0.05706
"passing shot"	0.0564567
no-hitter	0.0561426
knockdown	0.0560878
jumper	0.055654
seasons.	0.054703
"Edgardo Alfonzo"	0.054442
touchdown	0.0537935
changeup	0.0535985
top-@@	0.053175
knockout	0.0530493
double-double	0.0528579
forceout	0.0525872
minor-leaguers	0.0520866
"three points"	0.0517836
tip-in	0.0516494
"Final Fours"	0.0514678
ace	0.051101
"three pitchers"	0.0510598
hitting	0.0509462
game-high	0.0507105
starts.	0.0506757
bouncer	0.0506469
"Tom Goodwin"	0.0506347
"eighth homer"	0.0504269
technicals	0.0501731
Dutchmen	0.050104
firsts	0.0500691
"Pro Bowls"	0.0500446
dunk	0.0498827
dribbler	0.0498621
"power play"	0.0496728
"Gerald Williams"	0.0496049
"No. @,@@@"	0.0494718
punt	0.0494359
putback	0.0493396
great-grandchildren	0.0492883
TD	0.0491462
deuce	0.0488331
trainload	0.0487388
fastball	0.0486514
"great year"	0.0486451
"corner kick"	0.048532
innings.	0.0483789
"Ryder Cups"	0.0483675
"jump shot"	0.0483004
quarterfinalists	0.0482674
pinch-hit	0.0479577
"two sacks"	0.0478189
"breaking ball"	0.0477197
"knockout punch"	0.0476192
tacklers	0.0475113
"Eric Young"	0.0474517
spacewalks	0.0473686
fielder	0.0472827
three-pointer	0.0472617
jumpers	0.0471844
"goose bumps"	0.0470712
slider	0.0469001
pickoff	0.0468372
"breathing room"	0.0468039
"two baskets"	0.0466157
"Troy O'Leary"	0.0464166
"two pitchers"	0.0463986
curveball	0.046352
slipup	0.046296
wideouts	0.0462108
"one sack"	0.0458821
"minor leaguer"	0.0457612
"major-league team"	0.0457475
takeaways	0.0456198
"parking ticket"	0.0456128
TDs	0.0455854
backhander	0.0455736
blunder	0.0451369
soaking	0.0451083
one-hopper	0.0447681
deflection	0.0447657
"bill of health"	0.0446042
"close call"	0.0444423
whiff	0.044429
"flight of stairs"	0.0443748
"perfect game"	0.0443602
"set point"	0.0443567
triple-double	0.0442916
layup	0.0442315
"Tim Salmon"	0.0441144
"light touch"	0.0440436
"Eric Owens"	0.0439274
"All-Star Games"	0.0435774
"Jorge Posada"	0.043488
"six points"	0.0434764
wicket	0.0429792
"clean slate"	0.0429612
breakaway	0.0429063
"four @-pointers"	0.0428263
bogy	0.0426479
"Stanley Cups"	0.042647
"heavy hitter"	0.042485
"road game"	0.0424749
"word of advice"	0.0424697
"coat of paint"	0.042454
header	0.0424102
QBs	0.0420332
interception	0.0419903
team-high	0.0419715
"Rusty Greer"	0.0419292
"Chad Curtis"	0.0418668
postseasons	0.0417733
"secret plan"	0.0417629
"Jose Cruz Jr."	0.0417017
yardage	0.0416911
upperclassmen	0.0416864
"three @-pointers"	0.0415912
buzzer-beater	0.0414618
))
("base of operations" (desc 1920.8) (sims
"reference point"	0.0935222
"staging area"	0.0910272
"measuring stick"	0.0875987
"sounding board"	0.08374
steppingstone	0.0763632
"smoke screen"	0.0742297
guidepost	0.0701245
"launching pad"	0.0690719
"rallying point"	0.0660406
aphrodisiac	0.0634937
"fall guy"	0.0624018
"stepping stone"	0.0613664
"battering ram"	0.0612848
"front man"	0.060194
"punching bag"	0.0595585
"rallying cry"	0.0563677
"meeting place"	0.0561435
smokescreen	0.0558954
"line of business"	0.0553678
"focal point"	0.0537238
granary	0.0532949
"drawing card"	0.0532127
"bargaining chip"	0.0527015
"whipping boy"	0.0523432
"commercial enterprise"	0.0519385
"point of reference"	0.051545
"test case"	0.0507212
ballast	0.0506555
"traffic circle"	0.0503236
"endowment fund"	0.0501507
"main office"	0.0501402
"first school"	0.0499429
"data system"	0.049773
alibi	0.0494855
"hunting ground"	0.0493944
motivator	0.0486939
"lingua franca"	0.04867
"waiting area"	0.047979
conduit	0.0477218
repository	0.0476228
"personal relation"	0.0465359
stopgap	0.0463149
scapegoat	0.046163
heliport	0.0459975
"line of products"	0.0459914
"credit system"	0.0458728
franchisee	0.0456466
"proving ground"	0.0454404
nonevent	0.0453481
"talking point"	0.0452258
"guinea pig"	0.0451581
underpinning	0.0449842
"jumping-off point"	0.0449806
"cash cow"	0.044764
coolant	0.0445045
"reference work"	0.0444798
"point of entry"	0.0440676
"trunk road"	0.0437317
"center of gravity"	0.0436237
template	0.0433721
terminus	0.0432544
beachhead	0.0431652
depository	0.0431617
"stock company"	0.0431519
grist	0.0431147
"gathering place"	0.0428648
yardstick	0.0426205
"sphere of influence"	0.0424466
"supply route"	0.0424163
batboy	0.0423898
mouthpiece	0.0423699
breadwinner	0.0419358
"defense mechanism"	0.0417108
goal-scorer	0.0413941
proxy	0.0413731
backstop	0.0411319
"supply line"	0.0409935
"Kosovo Verification Mission"	0.040988
fiefdom	0.0405345
"building block"	0.0404358
"numbers game"	0.0403151
"trump card"	0.0402398
turbogenerator	0.0402286
"service agency"	0.0402121
"Up to @.@@ Percent"	0.0400306
))
("base runner" (desc 3089.11) (sims
baserunners	0.381342
baserunner	0.328231
"unearned run"	0.171357
"earned run"	0.171304
"major-league team"	0.14145
"one homer"	0.13215
no-decisions	0.124627
B-@s	0.119506
"three pitchers"	0.117576
strikeout	0.110931
"service break"	0.110355
batter	0.108969
crewmembers	0.107434
"All-Star Games"	0.106638
"one sack"	0.105903
"two homers"	0.103339
"three homers"	0.103219
"major leaguer"	0.101993
"five homers"	0.101235
"wild pitch"	0.101059
"base hit"	0.100985
runner	0.100951
QBs	0.0967015
"six homers"	0.095939
Stealers	0.095682
"Pro Bowls"	0.09543
"running play"	0.0945941
"break of serve"	0.0933188
great-grandchildren	0.0918745
starts.	0.091076
"No. @s"	0.090749
batsmen	0.0896235
top-@@	0.0886961
"Ryder Cups"	0.0885794
games.	0.0885069
"four homers"	0.0884961
curveballs	0.0883913
"seeded player"	0.0880576
"black person"	0.0873883
"day of rest"	0.0861817
"Final Fours"	0.0858466
"Miguel Cairo"	0.0858198
hitter	0.084822
"Cy Young Awards"	0.0834115
RBI	0.0833562
hundredth	0.0833294
upperclassmen	0.0832833
deuce	0.0832711
"Rich Becker"	0.0828858
All-Americans	0.082716
at-bat	0.0823044
nonwhites	0.0821504
"fatal accident"	0.0817046
"PGA Championships"	0.0815299
batsman	0.0805303
TDs	0.0804569
no-decision	0.0799738
"job offer"	0.079694
years.	0.0792016
dribbler	0.0791334
Dutchmen	0.0789446
hurler	0.0775439
takeaways	0.0775021
"extra points"	0.0772125
ace	0.076776
quarterfinalists	0.0761422
kwanza	0.0761232
"road game"	0.075904
"Super Bowls"	0.0749331
pinch-hitters	0.0746029
"foul shot"	0.0741142
"Lance Johnson"	0.0737053
groundouts	0.073552
"British Opens"	0.0734069
seasons.	0.0730519
timeouts	0.0730051
defensemen	0.0729329
"big leaguer"	0.0721807
lefthander	0.0720143
wideouts	0.0719143
overs	0.0712548
outs	0.0705921
postseasons	0.0705499
tacklers	0.0705323
"eight homers"	0.0703634
"double play"	0.0701684
righthander	0.070054
reliever	0.0699455
"batting coach"	0.0698747
"starting pitcher"	0.0695093
major-leaguers	0.0694882
"international flight"	0.0694595
"Gold Gloves"	0.0694408
"triple play"	0.0690369
"major league season"	0.068949
"seven homers"	0.0685473
ballplayer	0.0684742
Concordes	0.0684109
par-@s	0.067767
spacewalks	0.0676633
vote-getters	0.0676014
"over .@@@"	0.0674879
downs	0.0674113
Trey	0.0671088
"ball club"	0.0670104
fielder	0.066932
"minor leaguer"	0.0668561
skydiver	0.0668267
"Canadian province"	0.066293
tenths	0.0660518
runnings	0.0659797
"flight of stairs"	0.0658737
"Gerald Williams"	0.0655597
"Chris Carpenter"	0.0653239
changeups	0.0650108
rebounders	0.0649703
"Ruben Rivera"	0.0647393
"speeding ticket"	0.0646471
faceoffs	0.0645537
signees	0.0645001
batboy	0.0644988
Gigahertz	0.0641878
"agenda item"	0.0639813
farmhand	0.063898
climber	0.0634206
"Stanley Cups"	0.0633807
"solo homer"	0.0631866
knockdown	0.0631522
innings.	0.063066
rainout	0.0629994
wicket	0.0629269
"Tyler Houston"	0.0628241
interception	0.0626546
straggler	0.0626381
"U.S. Opens"	0.0625811
"free throw"	0.0625517
"more than @@@ yards"	0.0625351
bogy	0.0623446
A@@@s	0.0623027
"Neifi Perez"	0.0622954
"Benji Gil"	0.0622912
"foul ball"	0.0622536
abstention	0.0622464
balloonist	0.0621209
"role player"	0.0621102
firsts	0.0620879
"trading session"	0.0618727
"little leaguer"	0.0618544
fatality	0.0615967
sherpas	0.0614173
Opens	0.0613121
"fifth homer"	0.0610995
shutout	0.0610235
"first pitcher"	0.0608054
rushers	0.0607934
switch-hitter	0.0606943
ifs	0.0605401
"miles per gallon"	0.060395
"Quinton McCracken"	0.060039
"relief pitcher"	0.0599057
slugger	0.0597474
"hockey coach"	0.0597444
basemen	0.0591928
"heavy hitter"	0.059133
Emmys	0.0591153
sub-projects	0.0590722
skier	0.0590412
gyro	0.0589771
"third homer"	0.0588683
"first homer"	0.0585417
three-pointers	0.0584558
aldermen	0.0584257
time.	0.0583772
filly	0.058267
linemen	0.058198
"center fielder"	0.0581144
"Shannon Stewart"	0.0580302
"foster child"	0.0580213
"ground ball"	0.0579763
"Brian Hunter"	0.0579049
SEZs	0.0578999
"nuclear-powered submarine"	0.0578398
"Jeff Cirillo"	0.0576218
"minor-league team"	0.0576015
"skilled worker"	0.0575806
hiker	0.0575238
centavo	0.0575006
"word of advice"	0.0574539
"two pitchers"	0.0574107
bystander	0.0573596
"space walk"	0.0572423
"grand slam"	0.0571975
no-hitter	0.0571405
freebies	0.0570182
keystrokes	0.0570046
"Troy Percival"	0.0569812
state-level	0.0569196
minor-leaguers	0.0567502
westerner	0.0566151
"Darren Lewis"	0.0565982
))
(baseball (desc 145954) (sims
football	0.223981
basketball	0.218047
hockey	0.191567
sport	0.186168
soccer	0.174965
golf	0.17461
boxing	0.167591
NBA	0.162594
NFL	0.157357
league	0.150141
tennis	0.140994
"major league"	0.129875
NHL	0.127749
Racing	0.12735
game	0.114257
"National League"	0.113985
softball	0.112993
politics	0.108421
"National Football League"	0.107913
NASCAR	0.107605
"American League"	0.106652
volleyball	0.104175
wrestling	0.0988971
athletics	0.0977468
team	0.0972124
coaching	0.0970231
cycling	0.0939244
swimming	0.0937678
"track and field"	0.0925906
"National Basketball Association"	0.09201
Yankee	0.0909439
Gymnastics	0.0905363
life	0.0903209
music	0.0888014
majors	0.0868946
"baseball game"	0.0864526
"horse racing"	0.0860691
Hollywood	0.0857091
club	0.0848207
Olympics	0.0846584
cricket	0.0842404
WNBA	0.0841238
NCAA	0.083514
"baseball team"	0.082964
Rugby	0.082951
career	0.0827937
business	0.0817855
dodger	0.0817707
ball	0.0816202
America	0.0813182
"professional football"	0.0810248
history	0.0809732
art	0.0807308
"table tennis"	0.0804679
"National Hockey League"	0.0802422
movie	0.0801048
world	0.0785453
franchise	0.0776196
"big league"	0.0772401
Mets	0.0771869
"country music"	0.076457
pitching	0.0763641
thing	0.0755697
television	0.0755433
badminton	0.0750037
College	0.0747612
industry	0.0746866
family	0.0744886
NL	0.0738227
player	0.0737836
brave	0.0731331
theater	0.0730666
school	0.071866
"Red Sox"	0.0718353
it	0.0717109
TV	0.0715844
"World Series"	0.0712871
organization	0.0712726
rowing	0.0707202
Journalism	0.0706626
judo	0.0706115
"show business"	0.0705785
playing	0.070359
"football team"	0.0700275
playoff	0.0700006
weightlifting	0.0697215
country	0.0696991
Jazz	0.069375
fashion	0.0689605
tournament	0.0684834
chess	0.06804
Bowling	0.067681
Entertainment	0.0675939
fan	0.067483
society	0.0673918
film	0.0673782
"minor league"	0.0672729
nation	0.0669403
government	0.0666567
culture	0.0662534
guy	0.0661436
race	0.0661347
company	0.0660783
event	0.066028
this	0.0659334
Boston	0.0659287
job	0.065627
"New York"	0.0655058
show	0.0653521
ASTROS	0.0651331
"baseball player"	0.0651313
season	0.0649517
community	0.064851
mariner	0.0648411
pitcher	0.064826
stuff	0.0646701
profession	0.0646156
"rock 'n' roll"	0.0643458
publishing	0.063843
postseason	0.0638382
state	0.0636419
skiing	0.0632546
"Super Bowl"	0.0632083
"Hall of Fame"	0.0631644
kid	0.0631089
hitter	0.0630911
anything	0.0627632
cowboy	0.0627535
"home run"	0.0626728
people	0.0626257
dance	0.062585
union	0.0624577
city	0.0624374
"New York Yankees"	0.0623685
sex	0.0623171
cub	0.0622845
competition	0.0622
opera	0.0621614
woman	0.0621606
Orioles	0.0620028
hoop	0.0618514
series	0.0617828
Ballpark	0.0617574
fishing	0.0613527
Giants	0.0613419
science	0.0613192
Lakers	0.0613091
book	0.0604411
Padre	0.0603321
Celtics	0.0603257
church	0.0601974
everything	0.0600842
"classical music"	0.0600737
coach	0.0600699
IOC	0.0600498
them	0.0600278
us	0.0596882
him	0.0595478
"World Cup"	0.059546
university	0.0594662
Texas	0.0594404
athlete	0.0593767
"basketball team"	0.0593474
uniform	0.0592646
our	0.0589573
"spring training"	0.0588984
party	0.0588237
Atlanta	0.0588228
market	0.0587594
ranger	0.0587082
Skating	0.058698
China	0.0586812
Europe	0.0585093
patriot	0.0585057
championship	0.058377
gardening	0.058354
Knicks	0.0583407
bat	0.058261
al	0.0579613
clubhouse	0.0578295
angel	0.0578288
"high school"	0.057754
owner	0.0576175
me	0.0575777
"Republican Party"	0.0575684
"United States"	0.0575066
love	0.0572323
"pop music"	0.0571626
man	0.0569847
democracy	0.0569067
Internet	0.0568698
writing	0.0568696
ml	0.0567793
"Los Angeles Dodgers"	0.0565459
McGwire	0.0564672
something	0.0564479
religion	0.0563998
Congress	0.0563624
cardinal	0.0562858
"Atlanta Braves"	0.0562671
))
("Baseball America" (desc 1824.2) (sims
"Sporting News"	0.23286
"Transparency International"	0.116242
"American Film Institute"	0.100072
"Advertising Age"	0.0830821
"Modern Library"	0.0813051
Zogby	0.0783499
"World Report"	0.0773845
"National Journal"	0.0767639
"Top @"	0.0672807
"Business Week"	0.0672478
"Consumer Reports"	0.0633506
WTA	0.0617152
"U.S. News"	0.0599657
Omni	0.0599139
WBC	0.0598785
Summitt	0.0598237
ATP	0.0586973
Moody's	0.058482
"Congressional Budget Office"	0.0583219
IBF	0.0583025
"USA TODAY"	0.0579913
"Entertainment Weekly"	0.0579453
"Sports Illustrated"	0.0574535
"Media Metrix"	0.0567372
"Der Spiegel"	0.0548305
"TV guide"	0.0540561
"Weight Watchers"	0.0534863
"Bowl Championship Series"	0.0520327
Morningstar	0.0520269
audubon	0.051761
ICM	0.0512654
CBO	0.0509181
Redbook	0.0504412
"Martha Stewart Living"	0.0489799
Ebbers	0.0488029
McFadden	0.048225
Hiddink	0.0481989
"Cleveland Browns"	0.0477965
"Glenn Hoddle"	0.0477877
"Next Generation"	0.0475385
"Pew Research Center"	0.047311
WBA	0.0472132
RPI	0.0458959
"La Russa"	0.0454015
Rylander	0.0452714
CCC	0.0450247
"Kansas City Star"	0.0444065
"Nos @"	0.0443414
oddsmakers	0.044323
ebony	0.0442851
Mirabella	0.0441585
"Kaiser Family Foundation"	0.043288
"Asahi Shimbun"	0.0425696
Televisa	0.0425381
Gibbons	0.0424762
"smart money"	0.0424232
ESPN.com	0.0423957
"Jim Harrick"	0.0423378
ACB	0.0423205
"Detroit News"	0.042112
Reforma	0.0419677
"China National Tourism Administration"	0.0418694
ZIFF-DAVIS	0.0416859
"Good Housekeeping"	0.0416488
Itogi	0.0411216
Mademoiselle	0.041042
CRC	0.0409572
"WTA Tour"	0.0409275
Zagallo	0.0407971
"Los Angeles Clippers"	0.0400974
))
("baseball bat" (desc 6607.05) (sims
"rifle butt"	0.177323
machete	0.163929
Sledgehammer	0.156416
ax	0.153627
nightstick	0.147541
baton	0.145687
truncheon	0.135879
Hammer	0.12949
"golf club"	0.128895
"tennis racket"	0.125884
hatchet	0.123265
bayonet	0.120656
knife	0.116085
shovel	0.114905
spear	0.111362
"hockey stick"	0.109819
crowbar	0.104964
bat	0.103995
flashlight	0.103667
shotgun	0.103404
broom	0.102535
fist	0.0995978
rifle	0.0968862
pistol	0.0951707
sword	0.0908439
"hunting knife"	0.0900729
"automatic rifle"	0.0895259
revolver	0.0884059
screwdriver	0.0882522
two-by-four	0.0881996
cane	0.0870712
"sawed-off shotgun"	0.0868598
sickle	0.0853875
"chain saw"	0.0834472
Cleaver	0.0830491
Grenade	0.0825827
mallet	0.0823207
musket	0.0821389
"walking stick"	0.0821128
paddle	0.0808691
racquet	0.0790369
"machine gun"	0.0784134
"gasoline bomb"	0.0779146
axe	0.0776364
saber	0.0770137
"submachine gun"	0.0760698
"beer bottle"	0.0747071
rod	0.0724443
paintbrush	0.0723637
"petrol bomb"	0.0712825
"golf ball"	0.0710887
syringe	0.0710804
"tear gas"	0.0703667
walkie-talkie	0.0702911
"cigarette lighter"	0.0689369
brick	0.0689022
handgun	0.0684928
firearm	0.0682234
"razor blade"	0.065632
broomstick	0.0653558
hose	0.0652241
firebomb	0.0651248
"water cannon"	0.0650565
bullet	0.0647016
"folding chair"	0.0645858
helmet	0.0644405
dagger	0.0643445
chainsaw	0.0642781
"hand grenade"	0.0642158
pipe	0.0641126
pail	0.0639191
pen	0.062958
scissors	0.0617003
racket	0.0615585
binocular	0.0607173
machine-guns	0.0601428
"fountain pen"	0.0594692
rake	0.0591678
mace	0.058983
slingshot	0.0587182
Spoon	0.0586727
"two hands"	0.0584615
butt	0.0580158
fork	0.057896
razor	0.0576596
semicolon	0.0574356
spatula	0.0573285
tubing	0.0572751
"beer can"	0.0572579
"soda can"	0.0572285
pickax	0.0571455
wand	0.0569292
suitcase	0.0566531
AK-@@	0.0566492
"lawn chair"	0.0563144
"bowling ball"	0.0562664
gavel	0.0562025
pocketbook	0.0559034
"tree branch"	0.0559021
clipboard	0.0556507
"tennis ball"	0.0554185
surfboard	0.0548025
smelters	0.0541916
cookware	0.0540061
goggles	0.0538913
"grocery bag"	0.0536347
canister	0.0536174
cudgel	0.053491
guitar	0.0533378
"trash can"	0.0528591
"rolling pin"	0.0527991
"face mask"	0.0526489
placard	0.0524041
"tape measure"	0.0517646
pencil	0.051111
"heavy weapon"	0.0508906
"paper cup"	0.0508633
"first-aid kit"	0.0507643
scraper	0.050726
"garbage can"	0.0506375
"can opener"	0.0505959
"loaf of bread"	0.050592
toothpick	0.0505252
"battering ram"	0.0503164
cylinder	0.0502176
blade	0.0501722
flamethrower	0.0500473
easel	0.0497603
"cutting board"	0.0497398
handcuffs	0.0496762
pitchfork	0.0492397
crucifix	0.0492295
rope	0.0489943
chopstick	0.0489139
arrowhead	0.048905
putter	0.0488392
Cigar	0.0486437
"kerosene lamp"	0.048527
stool	0.0484593
microphone	0.0483552
cladding	0.0482742
glove	0.0482738
Tomahawk	0.0479912
cleat	0.0479838
checkbook	0.0478946
tweezer	0.0477306
"office furniture"	0.0477184
"explosive device"	0.0476857
"garden hose"	0.0475944
scalpel	0.0475887
tray	0.0474738
handbag	0.0474569
"soccer ball"	0.0474527
"teddy bear"	0.0474505
"Molotov cocktail"	0.0472623
"golf cart"	0.0471594
briefcase	0.0470568
"power tool"	0.0469713
forklift	0.0468828
arrow	0.046813
ingot	0.0468072
"shopping bag"	0.046644
"life preserver"	0.0465662
"cellular phone"	0.046498
"fishing rod"	0.0464712
smock	0.0464184
"break of serve"	0.0462019
"oxygen mask"	0.0461644
"fly rod"	0.0459672
ammunition	0.0457081
spacesuit	0.0454163
scaffolding	0.0453613
Propulsid	0.0452179
handset	0.045127
umbrella	0.0450878
bucket	0.0448243
tricycle	0.0448048
artillery	0.0447512
fitting	0.0447354
carbine	0.0447079
shutter	0.0446942
spade	0.0442053
shrapnel	0.0441823
"baseball card"	0.0441447
"pocket watch"	0.044138
"shower stall"	0.0441315
lantern	0.0441293
"water jug"	0.0440246
crutch	0.0439048
flooring	0.0438826
"water bottle"	0.0438718
needle	0.0438442
candle	0.0438152
tarp	0.043804
"golf bag"	0.043633
wristwatch	0.0436234
utensil	0.0436201
silencer	0.0435603
"belt buckle"	0.0435565
"ski mask"	0.0435103
))
("baseball cap" (desc 13461.5) (sims
sweatshirt	0.250847
windbreaker	0.210096
"polo shirt"	0.209264
"sweat pants"	0.20819
T-shirt	0.194347
"blue jean"	0.192538
hat	0.190496
"straw hat"	0.189719
beret	0.183782
"cowboy hat"	0.182469
"cowboy boot"	0.179901
shirt	0.17586
jacket	0.174566
"tennis shoe"	0.171514
"leather jacket"	0.170377
sneaker	0.165867
pant	0.1629
sunglasses	0.161808
jean	0.161244
scarf	0.156466
suspender	0.154095
cap	0.154028
sock	0.152818
bandanna	0.152463
vest	0.150567
trouser	0.149804
bluejeans	0.149563
sweater	0.149506
headband	0.147068
loafer	0.146983
sandal	0.146237
pullover	0.144863
"rubber boot"	0.142566
bandana	0.140484
boot	0.139978
jumpsuit	0.136809
"hard hat"	0.1348
"business suit"	0.132443
"sport shirt"	0.131385
khaki	0.131228
helmet	0.128752
undershirt	0.127232
overcoat	0.126298
"ski mask"	0.125814
corduroy	0.125689
apron	0.1243
slack	0.123807
Poncho	0.123803
blouse	0.122602
coat	0.122486
jersey	0.122186
turban	0.122097
turtleneck	0.120542
parka	0.11932
shoe	0.117819
uniform	0.117746
robe	0.116564
"bow tie"	0.114549
wig	0.114514
fedora	0.113927
"bathing suit"	0.113573
skirt	0.113129
cardigan	0.111586
raincoat	0.11156
"coffee mug"	0.111171
Chino	0.111066
knickers	0.110236
"running shoe"	0.110028
underwear	0.109445
coverall	0.109227
goatee	0.109115
necktie	0.108871
"dress shirt"	0.108326
pajama	0.107593
wristband	0.107548
armband	0.107169
dress	0.105649
"belt buckle"	0.105125
bellbottoms	0.104188
tights	0.103857
"trench coat"	0.103728
blazer	0.102661
ponytail	0.102339
"boxing glove"	0.102064
earring	0.101459
mustache	0.101212
smock	0.101113
"top hat"	0.100943
waistcoat	0.100527
slipper	0.100512
"feather boa"	0.0989729
tunic	0.0973786
tuxedo	0.09582
capris	0.0948646
"sports jacket"	0.0945753
bikini	0.0939358
miniskirts	0.093066
sarong	0.0921043
"pants suit"	0.0913967
shawl	0.0910411
cleat	0.09084
camisole	0.0906962
"bowler hat"	0.0906153
"cocktail dress"	0.090543
suit	0.0902504
mitten	0.0901595
swimsuit	0.0889237
mask	0.0888755
headgear	0.0875827
loincloth	0.0870459
"combat boot"	0.0870289
handbag	0.0868587
goggles	0.086649
legging	0.0863781
skullcap	0.0858482
bra	0.0858102
glove	0.0855403
flip-flop	0.0855041
hair	0.084531
"hot pants"	0.0841794
Beard	0.0840973
"name tag"	0.0837598
"fur coat"	0.0836807
"mink coat"	0.0836056
headdress	0.0835474
"dark glasses"	0.0829363
"nail polish"	0.082868
cloth	0.0828137
collar	0.0825701
"black tie"	0.0824017
gown	0.0822376
sideburn	0.082098
Clothing	0.0820794
"life jacket"	0.0820782
pigtail	0.0816303
"military uniform"	0.0815059
garb	0.0810556
"evening gown"	0.0808996
yarmulke	0.0802592
button	0.0800321
"stiletto heel"	0.0798545
"life vest"	0.0798443
shorts	0.0789309
eyeglass	0.0787271
Sash	0.0786629
dreadlocks	0.0784995
visor	0.078045
leotards	0.0778227
pantsuit	0.0777734
necklace	0.0777602
trousers	0.0773386
backpack	0.07656
STETSON	0.0753208
Cape	0.0748201
handkerchief	0.0747185
"felt hat"	0.0740812
sticker	0.0735985
bathrobe	0.0730107
miniskirt	0.0726846
corset	0.072404
towel	0.0720808
bag	0.0719586
bracelet	0.071699
kilt	0.0712579
badge	0.0711529
halter	0.0705373
caftan	0.070487
denim	0.0702288
"shoulder pad"	0.07003
"nose ring"	0.0698985
glass	0.0694982
"dress uniform"	0.0694159
briefcase	0.0688353
sleeve	0.0685894
bustier	0.068244
cutoffs	0.068113
pants	0.0680307
Sari	0.067998
anorak	0.067971
blinder	0.0678433
braid	0.0670642
wristwatch	0.0663749
belt	0.0662176
bodysuit	0.0660513
bib	0.0657322
"contact lense"	0.0656631
"paper bag"	0.0651984
lingerie	0.0651362
slicker	0.0650668
"bulletproof vest"	0.0649029
underpants	0.064865
"duffel bag"	0.0647865
plaid	0.0646188
tattoo	0.0646016
"soccer ball"	0.0644331
handcuff	0.0642056
banner	0.0641365
Fez	0.0638852
panty	0.0634595
ascot	0.0633584
))
("baseball card" (desc 5230.26) (sims
"trading card"	0.163131
memorabilia	0.141789
"postage stamp"	0.100689
antique	0.0941714
"historical document"	0.0921381
"sheet music"	0.0908275
"business card"	0.0896096
postcard	0.0892041
artifact	0.088088
Barbies	0.087592
"newspaper clipping"	0.085563
collectibles	0.0842784
"scientific instrument"	0.0839974
Coin	0.0831032
memento	0.0822639
souvenir	0.0819835
curio	0.0816656
jewelry	0.0799333
"greeting card"	0.0778736
stamp	0.0775538
"Beanie Babies"	0.0771235
autograph	0.0770978
Ferraris	0.0769481
"musical instrument"	0.0767769
manuscript	0.0758945
"teddy bear"	0.0753586
trinket	0.0752493
"compact disk"	0.0750083
paraphernalia	0.0733555
figurine	0.0729173
"old master"	0.0725266
"ticket stub"	0.0724824
"work of art"	0.0724754
"soccer ball"	0.0718293
poster	0.0713005
"silver dollar"	0.0710799
"haute couture"	0.0708099
"money order"	0.0705681
furniture	0.0701669
antiquity	0.070065
furnishings	0.0699871
artwork	0.0685129
"dollar bill"	0.0672041
quilt	0.0670054
doll	0.0665569
"hearing aid"	0.0659193
"golf club"	0.065183
cassette	0.0650294
Impressionist	0.0647741
"baseball glove"	0.064651
"folk art"	0.0645059
wristwatch	0.0643431
stationery	0.0642648
"train ticket"	0.064116
beany	0.064077
T-shirt	0.063739
"walking stick"	0.0637372
Furbys	0.0635205
Pottery	0.0626047
"computer equipment"	0.061891
"traveler's check"	0.061426
"compact disc"	0.0611508
COUTURE	0.0609574
"golf equipment"	0.0601403
"oil painting"	0.0601006
"membership card"	0.0600473
statuette	0.0599701
cleat	0.0597642
ceramic	0.059478
porcelain	0.0594259
knickknack	0.0593313
"consumer electronics"	0.0592244
jersey	0.059165
coupon	0.0586262
"fishing rod"	0.0585795
jewellery	0.0585696
lithograph	0.0584974
relic	0.0583448
glassware	0.0580537
IOU	0.0578167
camcorder	0.0575286
rug	0.0571246
"Beanie Baby"	0.0569851
diskette	0.0566425
cookware	0.0566375
lingerie	0.0558149
candy	0.055697
videocassette	0.0553956
receivables	0.055339
daguerreotype	0.0549118
"toilet paper"	0.0548566
handicraft	0.0546145
"chewing gum"	0.0546041
"preferred stock"	0.0545339
copier	0.0545239
"piece of furniture"	0.0544839
"water bottle"	0.0544253
"Manny Legace"	0.0543575
Kwanzaa	0.0541951
cheerio	0.054114
oldies	0.0534869
"playing card"	0.0534177
scrapbook	0.0532057
"film clip"	0.0529711
beanie	0.0524618
booklet	0.0522946
snapshot	0.0522208
sutras	0.0519224
flooring	0.0518637
urn	0.0517621
"steam locomotive"	0.051561
seashell	0.0512809
orchid	0.0509115
clipping	0.0508438
housewares	0.0504326
"shoulder pad"	0.0503119
"Christmas card"	0.0501413
yo-yo	0.0501252
"comic book"	0.0500997
"plane ticket"	0.0500385
"raw data"	0.0499877
"video equipment"	0.0499424
menswear	0.049856
"home appliance"	0.0497415
HDTV	0.0497101
envelope	0.0496979
"cereal box"	0.0496935
eyeglass	0.0496114
sportswear	0.0495766
tusk	0.0495643
badge	0.0495556
quilting	0.0495327
ornament	0.0495238
"penny stock"	0.0493454
"Lone Ranger"	0.0492656
"skin care"	0.0491813
"pet food"	0.0491642
"reference work"	0.0491147
tapestry	0.0490916
handbag	0.049089
keepsake	0.0490499
"pinball machine"	0.0489315
Picassos	0.0488874
"Treasury bill"	0.0488409
stele	0.0487872
diary	0.0487606
eyewear	0.0485022
"blue jean"	0.0484938
Gachet	0.0484828
jewel	0.0483708
Pokemon	0.0481945
"machine tool"	0.048098
Monet	0.0479551
typewriter	0.0477638
"cassette tape"	0.0477374
"canned goods"	0.0477192
"precious metal"	0.0476235
microfilm	0.0476201
"sewing machine"	0.0476171
phonograph	0.0475586
vase	0.0475581
apparel	0.0475144
Porn	0.047456
engraving	0.0474104
merchandise	0.0473774
drapery	0.0472177
textbook	0.0471914
tableware	0.0471511
Steinway	0.0471327
"golf ball"	0.0469449
"fine art"	0.0469402
"coffee cup"	0.0468879
Legos	0.0468681
Cigar	0.0467881
Polaroid	0.0465327
lumber	0.0465243
camcorders	0.0464722
musket	0.0462366
Marlboros	0.0461679
phyllo	0.0460377
zillion	0.0459769
"test equipment"	0.0459574
"stock certificate"	0.0457971
passport	0.045777
paperweight	0.0456246
Kleenex	0.0455812
"almost $@@@,@@@"	0.0455532
stub	0.0453955
wristband	0.045387
bookmark	0.0453855
candle	0.0450625
"options contract"	0.0450403
classifieds	0.0449557
sweatshirt	0.0448102
Matchbox	0.044722
firearm	0.0447167
"identification number"	0.0446621
"contact lense"	0.044628
"board game"	0.0445754
"birth certificate"	0.0445742
))
("baseball club" (desc 980.559) (sims
"baseball team"	0.172312
"ball club"	0.126644
"Eric Gunderson"	0.102227
hurler	0.0912772
"Continental Basketball Association"	0.0912552
"baseball game"	0.0818935
ballclub	0.0794279
"baseball season"	0.0774836
"hockey team"	0.076808
"baseball player"	0.0749601
ballplayer	0.0725797
"Ryan Glynn"	0.0722274
"media property"	0.0673056
"farm team"	0.0656347
"Baltimore Colts"	0.0639983
"Chronicle Publishing"	0.0621329
seasons.	0.0617373
Snapple	0.0615223
ump	0.0596716
"furniture company"	0.0591644
"Los Angeles Rams"	0.0590867
"Randall Simon"	0.0585308
mortuary	0.0584509
"David Dellucci"	0.0584446
"retail operation"	0.0577069
"Paramount Pictures"	0.0571393
"pitching coach"	0.0570823
"Ameritech Corp."	0.0569354
"liquor store"	0.056453
"MediaOne Group"	0.0563139
"Washington Redskins"	0.0562801
DLC	0.0558324
"jewelry store"	0.0557886
"Matt Morris"	0.0557729
"Times Mirror Co."	0.0557574
"batting coach"	0.0553972
"Tim Crabtree"	0.0550328
"quarter horse"	0.0547452
lifer	0.0544117
team.	0.0540054
"personnel department"	0.0535034
"Tele-Communications Inc."	0.053014
PRIMESTAR	0.0526801
"New York-New Jersey MetroStars"	0.0526432
Harrods	0.0525201
Saks	0.0520717
ALZA	0.0517887
"electronics company"	0.051543
toupee	0.0513709
"Chrysler Building"	0.0513671
"computer business"	0.050959
Picassos	0.0508611
"trucking company"	0.0504318
"brokerage house"	0.0500071
"computer store"	0.0498831
"big cat"	0.0498152
"Yves Saint Laurent"	0.049736
farmhand	0.0496387
Pudge	0.0495059
YankeeNets	0.0494525
"National Republican Congressional Committee"	0.049081
"Bankers Trust Corp."	0.048972
"Mark Clark"	0.0489254
pizzeria	0.0488656
"Unit @"	0.04883
"Livent Inc."	0.0487062
Steakhouse	0.0485813
coven	0.0484755
"basketball season"	0.0480344
"divorce lawyer"	0.0479586
Petrofina	0.0479557
"Airport Authority"	0.0477866
Netcom	0.0477377
"Appropriations Committee"	0.0477043
"department store chain"	0.0475459
"House Budget Committee"	0.0474729
"controlling interest"	0.0474471
bookshop	0.047404
PolyGram	0.0471916
"bus company"	0.046969
Galleria	0.0467751
"three pitchers"	0.0467356
bluefin	0.0465939
"Rolls-Royce Motor Cars"	0.0463592
snowbird	0.0463025
VISTEON	0.0462973
outhit	0.0462894
"butcher shop"	0.0460846
"Home Shopping Network"	0.0459631
"Washington Wizards"	0.0457427
"Kraft Foods"	0.0457084
"corporate investor"	0.0456245
"base runner"	0.0456245
"Thandie Newton"	0.0455538
"Tampa Bay Lightning"	0.0455429
"food company"	0.0455169
"community newspaper"	0.0454472
"minority stake"	0.0452989
ruffian	0.0451143
bottlers	0.0451137
sawmill	0.0449944
"repair shop"	0.0449744
"major-league team"	0.0449019
"Universal Pictures"	0.0448785
basemen	0.0448143
PML-N	0.0447104
"batting order"	0.0445087
"toll call"	0.0444853
WebTV	0.0444746
"CBS Corp."	0.0444568
"Mobil Corp."	0.0443359
"Zydrunas Ilgauskas"	0.0442891
CDnow	0.0440594
pawnshop	0.0439343
"Fallon McElligott"	0.0439197
"Darren Oliver"	0.0438851
"Jason Grimsley"	0.0437459
"Kevin McGlinchy"	0.0435753
"McKinsey &AMP; Co."	0.0435199
"break of serve"	0.0434685
"minority interest"	0.0434087
"flour mill"	0.0433907
"minority shareholder"	0.0432058
"Cleveland Browns"	0.043088
"Brian Anderson"	0.043065
"Rainbow Room"	0.0429719
"Hyundai Group"	0.0429519
"repertory company"	0.0428202
"U.S. Trust"	0.0428106
"Mike Morgan"	0.0426849
foodies	0.0425861
"Fred Meyer"	0.0425323
"food shop"	0.0424637
"general store"	0.0424564
"Nashville Predators"	0.0424539
"Saks Fifth Avenue"	0.0423858
"medical practice"	0.0423356
"Dallas Mavericks"	0.0423217
"Washington Senators"	0.0421562
"retail chain"	0.042143
"opera company"	0.0420838
"beauty salon"	0.0420491
"Oakland Raiders"	0.0419726
Kron	0.04192
signees	0.0419176
"gasoline station"	0.0418808
distillery	0.0418485
"Holiday Inn"	0.0418257
"Atlantic Richfield Co."	0.0417425
"Craig Paquette"	0.0416687
"ballet company"	0.0416423
delicatessen	0.041559
"Awesome Again"	0.0413938
"Todd Stottlemyre"	0.0413104
Broadcast.com	0.0412966
"service station"	0.0411986
"two pitchers"	0.0411054
"white person"	0.0410957
VCs	0.041049
"BankAmerica Corp."	0.0409751
opal	0.0409571
seagull	0.0408968
"waiting game"	0.040891
"Joey Cora"	0.0408032
"farm club"	0.0407972
"European Bank for Reconstruction"	0.0407786
Pillsbury	0.0407397
houseboat	0.0407278
"blood bank"	0.040649
"Pittsburgh Penguins"	0.0406332
"Atlantic Richfield"	0.0404964
"publishing company"	0.0404859
"color television"	0.0403996
SmithKline	0.0403864
"Al Martin"	0.0403641
"business organization"	0.0402064
"Denny Neagle"	0.040186
"Times Mirror"	0.0401324
"Atomic Energy Commission"	0.0400705
"True Path Party"	0.040019
))
("baseball coach" (desc 2802.33) (sims
"basketball coach"	0.150455
"hockey coach"	0.134376
"football coach"	0.130517
"English teacher"	0.0980351
"math teacher"	0.0969475
scoutmaster	0.0812265
copywriter	0.0805393
headmaster	0.0801582
"police sergeant"	0.0796343
"volleyball player"	0.0780785
"school principal"	0.0779042
"department employee"	0.0775148
psychoanalyst	0.0751687
librarian	0.074543
bookkeeper	0.0743536
"June Jones"	0.0742488
infantryman	0.0741361
COACHES	0.0740756
"basketball player"	0.0734835
"football player"	0.0732729
valedictorian	0.07304
"faculty member"	0.0726843
Postmaster	0.071994
"sports editor"	0.070425
walk-on	0.0699791
"basketball team"	0.0691852
"stage manager"	0.0683041
"coaching job"	0.0679106
"postmaster general"	0.0674455
accompanist	0.0664947
organist	0.0657823
pallbearer	0.0657676
All-Americans	0.0656312
groundskeeper	0.0645379
miler	0.0644947
"registered nurse"	0.0640593
stuntman	0.0639374
"graduate student"	0.0629187
archivist	0.062886
"science teacher"	0.0627497
All-America	0.062657
"hockey player"	0.0624712
"school superintendent"	0.0623717
"insurance agent"	0.0622904
"fire chief"	0.0621169
"union representative"	0.0618778
cheerleader	0.0615872
alderman	0.0614667
welder	0.0613208
"line coach"	0.0612559
cabinetmaker	0.0611733
paraplegic	0.0611063
"law student"	0.0610305
"art director"	0.0605912
newspaperman	0.060567
cinematographer	0.0603898
"NBA All-Star"	0.0603855
"foster mother"	0.060197
"foreign service officer"	0.0598023
chaperone	0.0594144
housemate	0.0592321
newsman	0.0591031
"enlisted man"	0.059086
oilman	0.0589669
Asprilla	0.0587065
concierge	0.0586501
chum	0.0586266
sweetheart	0.0585316
"business editor"	0.0585089
assemblyman	0.0584327
Provost	0.0582259
"athletic facility"	0.0580431
"bird watcher"	0.0580003
"art student"	0.0579202
"John Calipari"	0.0577665
"stage director"	0.0575608
"newspaper publisher"	0.0574056
claimer	0.0571426
"funeral director"	0.0569581
geophysicist	0.056902
"board of trustees"	0.0567942
"literary agent"	0.0566951
"shop assistant"	0.0566619
"English professor"	0.0563772
"assistant professor"	0.0563675
"interior designer"	0.0560474
electrician	0.0558633
jurist	0.0557916
All-American	0.0557245
psychologist	0.0554695
pediatrician	0.0554091
weatherman	0.0553572
"heart surgeon"	0.0552998
abbot	0.0552733
autocrat	0.0548639
D.A.	0.0548369
"school teacher"	0.0547865
"track star"	0.054473
"newspaper editor"	0.0543809
"Black Panther"	0.0542169
"Tex Winter"	0.054017
"physical therapist"	0.0538481
"baseball player"	0.0537883
neurosurgeon	0.053784
"hotel manager"	0.0535688
schoolmate	0.0535326
seamstress	0.053433
alumnus	0.0533268
"police lieutenant"	0.0533265
"Rich Brooks"	0.0533141
sixth-grader	0.0533105
"aerospace engineer"	0.053298
linguist	0.0531252
lecturer	0.0529757
commandant	0.0527124
"Breda Kolff"	0.0527055
"football season"	0.0525416
"legal guardian"	0.0523567
vaulter	0.0520366
clergyman	0.0518904
"film producer"	0.0518651
"school of medicine"	0.051724
biochemist	0.0514113
"lieutenant general"	0.0512318
scriptwriter	0.0511276
"staff sergeant"	0.051076
"deputy sheriff"	0.050928
stewardess	0.0508453
"house painter"	0.0508408
geneticist	0.0507979
neuroscientist	0.0507778
hyphen	0.0504125
ethicist	0.0503509
sociologist	0.0502937
"social scientist"	0.0502685
"eagle scout"	0.0502375
"press agent"	0.0501541
Bostonian	0.0501254
grad	0.050019
anesthesiologist	0.0498718
"basketball season"	0.0498315
cantor	0.0497495
seminarian	0.0497155
"electrical engineer"	0.0494359
"state senator"	0.0494
"police detective"	0.0493716
"medical student"	0.0493419
chiropractor	0.0493123
patrolman	0.0491882
"freshman class"	0.049135
doorman	0.0489695
"church member"	0.0488799
"department head"	0.0488361
Registrar	0.0488347
"professional golfer"	0.0488335
cardiologist	0.0488309
"real estate agent"	0.0487997
Coles	0.0484809
"stock trader"	0.0483389
underling	0.0482981
"Secretary of Defense"	0.0481014
"history department"	0.0480876
"town clerk"	0.0480183
fifth-grader	0.0476665
"test pilot"	0.0474576
"Carson Palmer"	0.0473193
watchman	0.0471959
Seaman	0.0471847
"police captain"	0.0470808
mathematician	0.0470495
Antley	0.0470355
oceanographer	0.0470329
geographer	0.0469328
prizefighter	0.0468098
violinist	0.0467986
dropout	0.0467905
"bond trader"	0.0467833
"letter carrier"	0.0466541
"Navy Seal"	0.0465976
Gunmakers	0.0465038
"computer scientist"	0.046488
"real estate broker"	0.0464506
"Al Unser Jr."	0.0463334
shipmate	0.0462906
"prison guard"	0.0462406
"costume designer"	0.0461931
"opera star"	0.0461699
"Secretary of Commerce"	0.0461594
"community organizer"	0.0460988
"certified public accountant"	0.0460712
righty	0.046064
singer-songwriter	0.0460281
submariner	0.0459416
veterinarian	0.0459222
"visiting professor"	0.0458691
animator	0.0457623
Baerga	0.0456363
bioethicist	0.0456346
ophthalmologist	0.0455842
"commencement ceremony"	0.0455808
))
("baseball diamond" (desc 1899.55) (sims
"ball field"	0.149006
"basketball court"	0.0827768
"miniature golf"	0.0784844
"tennis court"	0.074714
"swimming pool"	0.0714238
seawall	0.0681412
"skating rink"	0.066984
"bowling alley"	0.0661016
outbuilding	0.0632238
"recreational facility"	0.0619864
"Bowling Green"	0.0609429
"game room"	0.057712
treehouse	0.0575398
"truck stop"	0.0574963
mortuary	0.0568931
gazebo	0.0563164
"landing strip"	0.0544026
dispensary	0.0531696
"ice rink"	0.0518819
Ojai	0.0499672
"car park"	0.0492455
scarecrow	0.0491445
"wedding cake"	0.0490203
"commercial law"	0.0489471
"fire station"	0.0487686
"rest room"	0.0478945
spas	0.0476875
rink	0.0472785
Ellipse	0.0472575
"tea house"	0.0463543
megaplex	0.0453051
psychotherapy	0.0453013
incinerator	0.0448493
"community center"	0.0447865
"sewage system"	0.0447344
"housing development"	0.044709
premises	0.0446986
"gambling casino"	0.0445964
"law practice"	0.0445006
"public toilet"	0.0444809
"putting green"	0.0444473
"petrol station"	0.0443353
"blood bank"	0.0443325
"particle accelerator"	0.0442457
"horseback riding"	0.043819
"debt market"	0.0436961
"one school"	0.0436455
footpath	0.0431908
"hanky panky"	0.0431367
berm	0.0429689
"grammar school"	0.0429171
schoolyard	0.0428279
jetty	0.042459
"dance hall"	0.0424051
"security consultant"	0.0420834
"flour mill"	0.0420819
Bathhouse	0.0420027
"spider web"	0.0419401
hyphen	0.0417458
"athletic field"	0.0413748
harbour	0.0408047
granary	0.0405448
"resort hotel"	0.0401154
"dance floor"	0.0400619
watchtower	0.04
))
("baseball game" (desc 14627.6) (sims
"basketball game"	0.173516
"hockey game"	0.147668
"night game"	0.125741
"exhibition game"	0.12098
"All-Star Game"	0.114426
"baseball team"	0.112259
"ball game"	0.111382
"playoff game"	0.109488
"softball game"	0.101558
game.	0.099445
doubleheader	0.0984255
ballgame	0.0954534
opener	0.0939679
"World Series"	0.0931345
"home game"	0.0887913
baseball	0.0864526
"Super Bowl"	0.0858618
"day game"	0.0838887
"baseball club"	0.0818935
Telecast	0.0794803
"College World Series"	0.0765845
concert	0.0762278
hockey	0.0756654
"road game"	0.0749551
workout	0.0738426
matinee	0.0723778
"baseball player"	0.0700826
lacrosse	0.0689245
"baseball season"	0.0681307
"big game"	0.0680997
"boxing match"	0.067718
pro-am	0.0676118
contest	0.0671813
finale	0.0667527
"rock concert"	0.0666178
no-hitter	0.066094
football	0.0659423
"Pro Bowls"	0.0656242
matchup	0.0649019
softball	0.0648816
ballgames	0.0647874
scrimmage	0.0640521
playoff	0.0635251
at-bat	0.063443
"Super Bowl XXXIII"	0.0628699
"NBA Finals"	0.0627178
basketball	0.0623751
"Little League World Series"	0.0618597
"Game @"	0.0617983
"wrestling match"	0.0616874
"town meeting"	0.0614531
"church service"	0.060766
festivity	0.0603383
"track meet"	0.0601812
"open house"	0.0599822
rematch	0.0599435
bullfight	0.0598804
showdown	0.0593298
soccer	0.0592168
"Indy @@@"	0.0591443
outing	0.0590978
postseason	0.0589009
clubhouse	0.0588305
"horse race"	0.0586764
prom	0.0586243
rodeo	0.0583922
"spring training"	0.0579968
golf	0.0576492
weigh-in	0.0575468
"sugar bowl"	0.0573335
"practice session"	0.0572616
"football season"	0.0570848
"Rose Bowl"	0.0568861
"Academy Awards"	0.0568803
"jam session"	0.0562355
Ballpark	0.0560738
"Ryder Cup"	0.0556652
"American League Championship Series"	0.0556481
brawl	0.0556137
Olympics	0.0555677
"Subway Series"	0.055468
Exhibition	0.0549157
"theatrical performance"	0.0547473
"basketball league"	0.0547259
"Final Fours"	0.0545312
"cup final"	0.0544916
volleyball	0.0543702
"World Cup"	0.0543641
match-up	0.0542563
"popularity contest"	0.0542407
"Pepsi @@@"	0.0540431
"round of golf"	0.0538762
reunion	0.0536383
"Fiesta Bowl"	0.0532824
"Night Football"	0.0530348
"summer camp"	0.0525699
"Super Bowls"	0.0524462
"perfect game"	0.0524427
games.	0.0523572
Rugby	0.0518334
dinner	0.0518074
"triple play"	0.051752
"news show"	0.0517147
screening	0.0515586
interleague	0.0515511
recital	0.0515057
postseasons	0.0514452
premiere	0.0512298
"Emmy Awards"	0.0511297
tourney	0.0510142
"ice hockey"	0.0508421
Derby	0.0507441
marathon	0.0506996
matchups	0.0506405
NCAAs	0.0503101
semifinal	0.0501952
"benefit concert"	0.0501677
"Opening Day"	0.050079
year.	0.0500552
"football team"	0.0500396
"water polo"	0.049972
slugfest	0.0499307
"U.S. Open"	0.0497304
ballplayer	0.0497163
"poker game"	0.0496375
"news program"	0.0495801
go-round	0.0494975
"NCAA Tournament"	0.0494447
handball	0.0494053
"exhibition season"	0.049397
banquet	0.0493572
shutout	0.0492522
"news conference"	0.0491249
tennis	0.0490396
"golf game"	0.0490067
"ski race"	0.048974
"Ryder Cups"	0.0489715
matches	0.0489192
"All-Star Games"	0.0485921
friendlies	0.048526
gala	0.0484861
"Grammy Awards"	0.0483689
"basketball team"	0.0479896
schoolwork	0.0479346
"Fenway Park"	0.0478895
"social event"	0.047812
spacewalk	0.047734
"batting cage"	0.0476942
"prayer meeting"	0.0476804
"Game @."	0.0474446
"Yankee Stadium"	0.0472671
bout	0.0470923
Astrodome	0.0468462
"home run"	0.0468441
"third baseman"	0.0467789
lineup	0.0465277
"hockey player"	0.0464957
Masters	0.0464402
pitching	0.0462637
"Cotton Bowl"	0.046221
"test match"	0.0462091
"National League Championship Series"	0.0461879
"field hockey"	0.046163
"press conference"	0.0461127
"professional baseball"	0.0460282
"talk show"	0.0460276
"Super Bowl XXXIV"	0.0458335
"art exhibition"	0.0458199
duel	0.0457872
"working day"	0.0456367
blowout	0.0455843
"hockey team"	0.0454869
"PGA Championship"	0.0454835
faceoffs	0.0454569
clincher	0.0451726
gathering	0.0451583
outfielder	0.0451522
Gymnastics	0.044947
"Olympic Games"	0.0449297
regular-season	0.0448199
dugout	0.0447452
"Orange Bowl"	0.0447368
off-day	0.0446891
wrestling	0.0446784
"Kickoff Classic"	0.0446019
symposia	0.0445618
fund-raiser	0.0445449
"cup tie"	0.0441968
baserunner	0.0441465
rainout	0.0440473
lecture	0.0440446
reunions	0.0440246
"jazz band"	0.0440138
"Division Series"	0.0439057
"ball club"	0.0438457
"basketball season"	0.0438342
"car race"	0.0438055
tryout	0.0437583
"dinner party"	0.0436683
"Summer Games"	0.0436539
))
("baseball glove" (desc 1089.44) (sims
bluejeans	0.10393
"soccer ball"	0.0926457
"paper cup"	0.08406
"boxing glove"	0.0816721
"tennis racket"	0.0803153
"sports jacket"	0.077965
"evening bag"	0.075343
STETSON	0.0750416
"book bag"	0.0742814
raincoat	0.0706071
"teddy bear"	0.0688875
"engagement ring"	0.0676969
"belt buckle"	0.0669729
"membership card"	0.0652245
"baseball card"	0.064651
"running shoe"	0.0645626
"name tag"	0.0644712
"ball field"	0.0642989
toupee	0.0640392
wristwatch	0.0639498
swimsuit	0.0632878
choker	0.0629744
racquet	0.0622383
Walkman	0.0621441
frock	0.0610526
prosthesis	0.0604586
blinder	0.0603061
"mink coat"	0.0601613
"straw hat"	0.0597195
impala	0.0593642
Momma	0.0592762
"trading card"	0.0588816
"loaf of bread"	0.0588766
spacesuit	0.058799
"Honda Accord"	0.0587904
"bulletproof vest"	0.0587785
"Volkswagen Beetle"	0.0586547
"wedding ring"	0.0585027
bellbottoms	0.0584031
clothes	0.0575577
eyeglass	0.0575334
tux	0.0567855
pinata	0.0567082
"blue jean"	0.0558423
wristband	0.0555916
stapler	0.0555805
Tools	0.0553247
"media property"	0.0553099
"little hand"	0.0550111
Rolex	0.0543963
jacks	0.0541327
crucifix	0.0538763
"dog tag"	0.0538624
"fur coat"	0.0536232
sport-utility	0.0535337
"beach towel"	0.0534816
"Palm III"	0.0534201
"hypodermic needle"	0.053355
bib	0.0531794
pillowcase	0.0530145
fedora	0.0527693
seatbelt	0.0526399
pasty	0.0524227
crayfish	0.0523878
"water bottle"	0.0518388
brassiere	0.051766
"life preserver"	0.0515333
"high jinks"	0.0513223
"neck brace"	0.0511603
"water filter"	0.0510581
"season ticket"	0.0510055
axiom	0.0508191
"feather boa"	0.0503979
"train ticket"	0.0503906
kilt	0.0501665
"dress uniform"	0.0500011
"police van"	0.0499963
"compact car"	0.0499429
"toilet seat"	0.0498628
livery	0.049099
sobriquet	0.0490741
"shower curtain"	0.0490582
beany	0.0489834
"air filter"	0.0486962
subcompact	0.0486403
"wedding dress"	0.0484784
caftan	0.0484409
cityscape	0.048243
"piece of cloth"	0.0481876
"sleeping bag"	0.0481804
DeVille	0.0481085
"bathing suit"	0.04788
girdle	0.0476917
"fishing rod"	0.0476684
hairpiece	0.0474556
sarong	0.0474412
band-aid	0.0474406
Steinway	0.0472903
"blue ribbon"	0.0470488
"summer house"	0.04704
"Ford Taurus"	0.0468391
bodysuits	0.046685
earplugs	0.046655
"guardian angel"	0.0465503
blinker	0.0465456
suspender	0.0465261
"fountain pen"	0.046461
visor	0.0464447
"motor oil"	0.0463046
"computer equipment"	0.0462163
"Brooks Brothers"	0.0461509
"boarding pass"	0.0461257
coverall	0.0460737
"dress shirt"	0.0459435
"bowler hat"	0.0457102
defibrillator	0.0457078
duster	0.0456695
Furbys	0.0456408
gizmo	0.0455195
"life vest"	0.0454331
"life jacket"	0.0454074
"electrical device"	0.0453233
pantyhose	0.0451076
"bowling ball"	0.0450251
"partner in crime"	0.0449868
"B&AMP;W"	0.0449797
"rubber band"	0.0448348
"sheet music"	0.0446123
"clock radio"	0.0445309
clicker	0.0445168
"wedding cake"	0.0444739
panty	0.0443939
Picassos	0.0443746
hand-me-down	0.0443417
"office furniture"	0.0443157
"grocery bag"	0.044286
"tennis shoe"	0.0442561
"application program"	0.0441992
"contact lense"	0.0441413
"wrapping paper"	0.0440965
mitt	0.0440475
snowshoes	0.0436272
copier	0.043554
"evening dress"	0.0435481
taillight	0.04352
handkerchief	0.0433773
"nose ring"	0.0433523
lithograph	0.0431532
"duffel bag"	0.0429394
flapper	0.042854
"rubber boot"	0.0427291
"ownership stake"	0.0426216
screwdriver	0.0425628
"hearing aid"	0.0425462
"credit report"	0.0425333
headstone	0.0422434
toothbrush	0.0422385
"Beanie Babies"	0.0420967
"garden hose"	0.0419011
punchline	0.0418342
"cocktail dress"	0.0417868
"prayer shawl"	0.0417495
zloty	0.0417447
brogue	0.0416788
chalice	0.0415049
DVDs	0.0414089
teapot	0.041404
gargoyle	0.0413736
sunscreen	0.0413531
"silver dollar"	0.0413424
"software package"	0.0412937
moisturizer	0.0412861
"golf bag"	0.0410986
Pantsuits	0.0410388
"golf ball"	0.0409244
miniskirts	0.0408192
genealogist	0.0408024
"Palm VII"	0.0407789
Suburbans	0.0407321
"portable computer"	0.0405931
stopwatch	0.0405863
knickers	0.040577
"stock certificate"	0.0404156
"tape player"	0.0403684
crock	0.0402574
MS-DOS	0.0402446
"Brook Fordyce"	0.0402358
supercomputers	0.0402048
widget	0.0401214
"Christmas card"	0.0400883
"communications service"	0.0400817
"airplane ticket"	0.0400227
))
("baseball league" (desc 1593.85) (sims
"football league"	0.0738542
"basketball league"	0.0589205
"little league"	0.0569441
"card game"	0.0539102
"utility program"	0.0538653
"blue whale"	0.0532402
"softball game"	0.0512844
Parmigiano-Reggiano	0.0505991
bloomers	0.0505131
Putumayo	0.0500422
lockup	0.0495629
QBs	0.0474118
Menudo	0.0466124
"extracurricular activity"	0.0455638
"Continental Basketball Association"	0.0449458
eateries	0.044937
"transfer payment"	0.0449111
"Senior Bowl"	0.0445013
"hockey coach"	0.0440813
"Lilith Fair"	0.0433209
"Final Fours"	0.0430575
"theater company"	0.0430531
dockworkers	0.0425605
"folk song"	0.0424364
"boundary line"	0.0414576
))
("baseball player" (desc 15511.1) (sims
"basketball player"	0.157274
ballplayer	0.155827
"football player"	0.146768
"hockey player"	0.128082
athlete	0.107243
"major leaguer"	0.10555
"tennis player"	0.0976934
"baseball team"	0.0973829
slugger	0.0969597
"big leaguer"	0.0967693
"football coach"	0.0957945
golfer	0.0951933
outfielder	0.0932757
"volleyball player"	0.0921858
wrestler	0.0913273
swimmer	0.0885631
pitcher	0.086627
weightlifter	0.0822611
musician	0.0817586
boxer	0.0788616
"good person"	0.0784713
"jazz musician"	0.0776186
closers	0.0763283
bodybuilder	0.0762553
hitter	0.0760261
entertainer	0.0759182
rower	0.0758547
"movie star"	0.0756545
"ball club"	0.0755587
gymnast	0.0754315
"baseball club"	0.0749601
"first baseman"	0.0736972
umpire	0.073562
performer	0.0730441
"track star"	0.0725373
violinist	0.0716004
"baseball game"	0.0700826
shortstop	0.0699959
dancer	0.0694541
sprinter	0.0694199
All-stars	0.0689136
comedian	0.0682777
artist	0.068267
"basketball team"	0.0680857
cheerleader	0.0680563
skater	0.0678378
"hockey game"	0.0678209
catcher	0.0676967
"minor leaguer"	0.0676924
passer	0.067099
racer	0.0669009
"hockey team"	0.0668477
"guitar player"	0.0667882
footballer	0.0665223
jock	0.0664834
"professional golfer"	0.0663206
"role player"	0.0659005
"center fielder"	0.0657709
lineman	0.0654886
"third baseman"	0.065435
"basketball coach"	0.0654295
pianist	0.0653078
infielder	0.0653053
baseball	0.0651313
"altar boy"	0.0650911
actor	0.0650271
All-Americans	0.0649446
quarterback	0.0647129
basemen	0.0644676
"foreign service officer"	0.0642881
miler	0.0642358
filmmaker	0.0641524
ballerina	0.0638065
cabinetmaker	0.063236
"sports fan"	0.0628005
lifter	0.0627815
"running back"	0.0626294
shooter	0.0625945
Playwright	0.0625165
sailor	0.0624778
businessman	0.0621359
Kicker	0.0619833
thrower	0.0616313
poet	0.0615985
"public servant"	0.0615779
"football team"	0.0615139
chef	0.0614264
cartoonist	0.0612958
hurler	0.0612385
painter	0.0612215
philanthropist	0.0611671
Olympian	0.0610342
celebrity	0.060864
professional	0.0608283
"good guy"	0.0608019
teacher	0.0606444
conductor	0.0605515
jockey	0.0605279
writer	0.0605184
"pitching coach"	0.0604579
inductee	0.0602259
goalie	0.0600581
"chess player"	0.0599607
firefighter	0.0598526
"basketball game"	0.0595438
songwriter	0.0593966
"right fielder"	0.0593449
punter	0.0593197
runner	0.0592542
teammate	0.0592293
superstar	0.058976
rebounders	0.0588314
debater	0.0587233
scout	0.0585935
"rock star"	0.0585677
"landscape architect"	0.0585487
"black person"	0.0584863
entrepreneur	0.0584836
singer	0.0583638
actress	0.0582605
basketball	0.0582387
"Yankee Clipper"	0.0581402
cyclist	0.0578838
storyteller	0.0577856
vaulter	0.0576151
goaltenders	0.0575877
choreographer	0.0574306
"starting pitcher"	0.0573643
teenager	0.0572145
"little boy"	0.0571757
heavyweight	0.0571221
goaltender	0.0570645
grad	0.0570574
righthander	0.0565351
sportscaster	0.0565004
journalist	0.0564343
major-leaguers	0.0563461
QBs	0.0561498
DJ	0.0558235
horseman	0.0556797
climber	0.0555341
"important person"	0.0555122
racehorse	0.0553985
"folk singer"	0.0553563
"prison guard"	0.0553163
"tight end"	0.0552398
preacher	0.0552302
"relief pitcher"	0.0551197
composer	0.0548619
novelist	0.0548369
linebacker	0.0547106
builder	0.0545657
physician	0.0542587
pro	0.054154
salesmen	0.0540911
receiver	0.0540887
"young man"	0.0538113
"baseball coach"	0.0537883
lefthander	0.0536862
"New Englander"	0.053673
collegian	0.05364
"pass catcher"	0.0536061
photographer	0.0535273
"left fielder"	0.0535214
skier	0.0535113
cellist	0.0534734
"ballet dancer"	0.0534711
bartender	0.0533099
educator	0.0532766
"human being"	0.0532749
astronaut	0.0532648
marathoner	0.0532609
student-athletes	0.0532366
"fashion designer"	0.053127
collector	0.0531238
linemen	0.0530632
hockey	0.0530109
"second person"	0.0528919
sportswriter	0.0528639
teen-ager	0.0528456
newspaperman	0.0527969
senior	0.0527528
sophomore	0.0527413
"white person"	0.0527034
"truck driver"	0.0526996
janitor	0.0526598
caddie	0.0523256
Texan	0.0522871
"black woman"	0.0522645
hero	0.0522592
dropout	0.0521839
walk-on	0.0521819
"English teacher"	0.052085
"math teacher"	0.052028
dad	0.0519591
"disc jockey"	0.0519359
guitarist	0.0519129
filmmakers	0.05188
"civil rights leader"	0.051768
vet	0.0516835
))
("baseball season" (desc 4387.67) (sims
"basketball season"	0.220822
"football season"	0.192095
"academic year"	0.137223
"growing season"	0.122388
"school year"	0.115037
workday	0.107147
"rainy season"	0.100064
homestand	0.0998161
"hunting season"	0.0967884
"presidential term"	0.0956348
semester	0.0946969
"fishing season"	0.0942201
"exhibition season"	0.0917831
year.	0.0882499
"holiday season"	0.0848024
season.	0.0838123
"calendar year"	0.0818496
"school day"	0.0798492
"baseball club"	0.0774836
"bull market"	0.0760638
game.	0.0740652
epoch	0.0709432
preseason	0.0707817
"Bull Run"	0.0703632
"work day"	0.06979
"working day"	0.0696871
"tour of duty"	0.0684748
"baseball game"	0.0681307
minicamp	0.0679532
"spring training"	0.0659882
"ice age"	0.0657276
spacewalk	0.0646057
"bear market"	0.0636892
"budget debate"	0.0632862
"ball club"	0.0629356
"waiting game"	0.0627555
"round of golf"	0.06237
postseason	0.0622173
"professional life"	0.0619119
"Memorial Day"	0.0618763
"hockey game"	0.0612761
"major league season"	0.0605796
"trading session"	0.0604985
ballgame	0.0603916
two-a-days	0.0598288
"Holy Year"	0.0596348
mini-camp	0.0591401
marathon	0.0578632
"financial year"	0.057788
"World Series"	0.0577694
"Macao International Airport"	0.0567887
lockout	0.0562227
IGC	0.0556468
"three pitchers"	0.0555815
"Copa America"	0.0553373
"Pan Am Games"	0.0551017
fortnight	0.0550305
go-round	0.0548615
Giro	0.0545443
festivity	0.0544662
"Boston Marathon"	0.0543442
"basketball game"	0.0541871
"Fortune Global Forum"	0.053944
"term of office"	0.0539295
jubilee	0.0536222
countdown	0.0534186
Spring/Summer	0.052836
filming	0.0527803
"business cycle"	0.0527369
"triple play"	0.0527336
ballplayer	0.0522138
"All-Star Game"	0.0520332
"technological revolution"	0.0519863
"Six Day War"	0.0519062
odyssey	0.0517279
Passover	0.0516184
Series.	0.0513571
"third millennium"	0.0509819
"Subway Series"	0.0509486
"dry season"	0.050763
"International Symposium"	0.0504721
"International AIDS Conference"	0.0502549
monsoon	0.0502287
honeymoon	0.0500357
Easter	0.0500153
five-day	0.0499497
ordeal	0.0497492
"gold rush"	0.0496637
mini-summit	0.0495869
"cold snap"	0.0495562
offseason	0.04941
"third grade"	0.0493562
"French Revolution"	0.0492356
"Summer Olympic Games"	0.0490596
"legal proceeding"	0.0488886
"NCAA Tournament"	0.0488163
"second tour"	0.048709
"Jewish Sabbath"	0.048354
workweek	0.0483417
scrimmage	0.0483106
biennial	0.0481061
"heat wave"	0.0481002
"medical practice"	0.0480368
"Labor Day"	0.0478843
"market correction"	0.04773
ruckus	0.0476901
"World Athletics Championships"	0.0476882
fasting	0.0476594
"baseball team"	0.0475875
"Stanley Cup Finals"	0.0475655
"Winter Olympic Games"	0.0474569
internship	0.0473998
"tit for tat"	0.0473716
rehearsal	0.0473708
"final exam"	0.0473405
"hue and cry"	0.0473027
Asiad	0.0472645
"summit meeting"	0.047204
perestroika	0.0472027
Voyage	0.0469307
"College World Series"	0.0467488
"Erie Canal"	0.0466212
rehab	0.0464693
"day of rest"	0.0464166
at-bat	0.0463089
ballclub	0.0461994
"Rosh Hashana"	0.0461939
minicamps	0.0459173
NLCS	0.0458447
"Republican National Convention"	0.0457932
"Valentine's Day"	0.0456543
rainout	0.0455876
"softball game"	0.0455476
polling	0.0454939
"military drill"	0.0454405
"fund-raising campaign"	0.0454029
apprenticeship	0.0452876
Christmases	0.0451921
"management change"	0.0450018
"Science City"	0.044995
"playoff game"	0.0449933
"Great War"	0.0448441
autumn	0.0447757
"Pan American Games"	0.0447632
Lent	0.0446528
"service agency"	0.0445803
continuum	0.0445747
turnaround	0.0445189
nine-day	0.0444695
"New York City Marathon"	0.0444338
"military campaign"	0.0443989
"art movement"	0.0442572
"magazine article"	0.0442098
"Ryder Cup"	0.0442061
ALCS	0.0440198
sojourn	0.0439283
"batting order"	0.0439107
airdrop	0.0438854
"car door"	0.0437751
"pass catcher"	0.0436782
"great year"	0.0436304
"fire drill"	0.0435062
extravaganza	0.0434954
hoopla	0.0434891
"wedding party"	0.0434295
processional	0.0434255
"International Conference"	0.0433871
"life cycle"	0.0433503
"Hong Kong International Airport"	0.0433108
AMM	0.0432961
"Division Series"	0.0432505
craziness	0.0430726
"Republican Convention"	0.0430678
intifada	0.0429541
hiatus	0.0429411
"New Year"	0.0428987
"nearly $@@"	0.0427119
conclave	0.0426907
match-up	0.0426181
"eighth grade"	0.0425561
commotion	0.0425257
"fire wall"	0.0424752
"gambling casino"	0.042404
"bag of tricks"	0.0423726
papacy	0.0423261
"love affair"	0.0422994
"Christmas present"	0.0422372
"law practice"	0.0422358
"music school"	0.0422145
"road game"	0.042033
pilgrimage	0.041993
quarterfinalists	0.0419775
"baseball player"	0.0419686
"graduating class"	0.0419373
"Fourth Session"	0.0418377
"Fashion Week"	0.0417121
"racing circuit"	0.0416567
indoctrination	0.0416227
"European Championships"	0.0416096
"political campaign"	0.0415786
))
("baseball team" (desc 20203.7) (sims
"basketball team"	0.17808
"baseball club"	0.172312
"hockey team"	0.158149
"football team"	0.154973
"baseball game"	0.112259
franchise	0.0979415
"baseball player"	0.0973829
ballclub	0.08717
"Los Angeles Dodgers"	0.0871474
"New York Yankees"	0.0865641
"ball club"	0.0853689
"volleyball player"	0.0837742
"Washington Redskins"	0.0829846
baseball	0.082964
"Atlanta Braves"	0.0793055
team.	0.0786264
"Texas Rangers"	0.0785069
"Milwaukee Brewers"	0.0777822
squad	0.0773129
"major-league team"	0.0771807
"Cincinnati Reds"	0.0771146
Celtics	0.0769245
"Cleveland Browns"	0.075735
"Seattle Mariners"	0.0754516
Yankee	0.0748448
club	0.0745985
"hockey player"	0.0732881
"Cleveland Indians"	0.0727773
"New England Patriots"	0.0715352
"San Diego Padres"	0.0711331
"Colorado Rockies"	0.0708084
hockey	0.070747
Mets	0.0706423
"Houston Astros"	0.070271
"Arizona Diamondbacks"	0.0701514
"basketball game"	0.0689807
"Brooklyn Dodgers"	0.0689492
"Boston Red Sox"	0.0688359
pitcher	0.0686167
"Team USA"	0.068489
Giants	0.0684304
"Oakland Athletics"	0.0682007
"Red Sox"	0.0681999
Orioles	0.0671106
"New York Giants"	0.0658895
football	0.0658806
"Baltimore Orioles"	0.0658411
slugger	0.0650952
"basketball player"	0.0650948
"San Francisco @@ers"	0.0650345
"San Francisco Giants"	0.0647628
"St. Louis Cardinals"	0.0633412
ranger	0.0629946
"football player"	0.0629063
"Florida Marlins"	0.0627809
"hockey game"	0.0627213
"Detroit Tigers"	0.062668
"Dallas Cowboys"	0.0625094
basketball	0.0624265
cardinal	0.0622385
"Kansas City Royals"	0.0616811
ballplayer	0.0615187
"Continental Basketball Association"	0.0614229
"Chicago Bulls"	0.0613324
oiler	0.06081
roster	0.0607122
brave	0.0606368
Redskin	0.0604559
dodger	0.0603907
"basketball league"	0.0600321
"Green Bay Packers"	0.0599349
"Washington Senators"	0.0598726
"New York Mets"	0.0597578
patriot	0.0597129
"Tar Heels"	0.0595951
"Montreal Canadiens"	0.0593127
"Dream Team"	0.0588333
"Denver Broncos"	0.0587272
BEARS	0.0584203
"Los Angeles Kings"	0.0583499
ASTROS	0.0580986
All-stars	0.0580878
Canadiens	0.0580641
"Anaheim Angels"	0.0579551
"Pittsburgh Pirates"	0.0576153
volleyball	0.057436
shortstop	0.057409
righthander	0.0572325
outfielder	0.0571746
softball	0.0570756
MetroStars	0.0568798
A's	0.0566451
"St. Louis Rams"	0.0566399
"New York Knicks"	0.0565974
"Chicago Cubs"	0.0561732
Royals	0.0560549
"Minnesota Twins"	0.0560483
"Red Wings"	0.0560053
Expo	0.0555782
maverick	0.0555027
"New Jersey Nets"	0.0554127
"blue jay"	0.0553841
"New York Rangers"	0.0552901
Knicks	0.0551133
athlete	0.0550938
brewer	0.055024
Padre	0.054817
athletics	0.054676
"third baseman"	0.0545371
"Charlotte Hornets"	0.0544587
"Buffalo Bills"	0.0543689
Seahawks	0.0542029
marlin	0.054055
"Seattle Seahawks"	0.0539773
lacrosse	0.0539374
"Los Angeles Lakers"	0.0538079
soccer	0.0537498
"Pittsburgh Penguins"	0.053666
catcher	0.0535689
"Oakland Raiders"	0.0533783
"Phoenix Suns"	0.0533138
"tennis player"	0.0529747
"Boston Celtics"	0.0529081
"Golden State Warriors"	0.0528221
"San Diego Chargers"	0.0527523
cowboy	0.0526879
clipper	0.052662
"Detroit Red Wings"	0.0526155
cub	0.0525153
"ATLANTA FALCONS"	0.0525107
diamondback	0.0523786
"Minnesota Vikings"	0.0522815
"Dallas Mavericks"	0.0522129
"Miami Dolphins"	0.052171
raider	0.0521681
Hornet	0.0521508
"Montreal Expos"	0.0520251
Lakers	0.051989
Trojan	0.0518023
scout	0.0517945
"Houston Rockets"	0.0517437
"Los Angeles Rams"	0.0517429
baserunner	0.0514808
hitter	0.0513848
mariner	0.0513653
"football coach"	0.0513617
"basketball coach"	0.0513597
"New York Jets"	0.0512062
falcon	0.0511935
WNBA	0.0511682
"senior class"	0.0509961
"farm team"	0.0507892
lefthander	0.0506015
"Los Angeles Galaxy"	0.0505956
"San Antonio Spurs"	0.0505175
"Chicago White Sox"	0.0503481
"Philadelphia Eagles"	0.0502075
"trucking company"	0.050166
"Washington Wizards"	0.0501313
bronco	0.0500687
wildcat	0.0500036
Bengals	0.049778
"White Sox"	0.0497669
"Washington Capitals"	0.0497385
bruin	0.0497323
bulldog	0.0495711
"Minnesota Timberwolves"	0.0495172
bull	0.0493205
"Tennessee Titans"	0.0492481
"first baseman"	0.0492359
golfer	0.0492268
thrasher	0.0492258
Rugby	0.0491965
"radio station"	0.0490715
dealership	0.0490507
"Detroit Pistons"	0.0489452
"television station"	0.048885
affiliate	0.0488575
"Toronto Blue Jays"	0.0487904
Phillies	0.0487755
devil	0.0487526
"Carolina Panthers"	0.0487238
"Kansas City Chiefs"	0.0486096
pacer	0.0485668
teammate	0.0483069
Aggies	0.0482764
brewery	0.0481777
"blue devil"	0.047966
"Tampa Bay Devil Rays"	0.0479567
"professional basketball"	0.0478681
ram	0.0477099
Blackhawks	0.0476817
"baseball season"	0.0475875
"Chicago Bears"	0.0475633
"football season"	0.0474674
varsity	0.0474341
"Toronto Maple Leafs"	0.0472558
"family business"	0.0472353
"pitching coach"	0.0472129
uniform	0.047184
))
(baseboard (desc 1339.13) (sims
wainscoting	0.18471
paneling	0.124331
molding	0.113545
woodwork	0.1027
"tile roof"	0.093461
"drinking fountain"	0.0872569
"French door"	0.0803672
skylight	0.0793746
"stained-glass window"	0.0790847
truss	0.0695162
manhole	0.0686884
chandelier	0.0671495
Zee	0.0646546
ledge	0.0634341
Matchbox	0.0599646
"window frame"	0.0566928
"phone jack"	0.0566528
mantelpiece	0.0560033
"cast iron"	0.0550876
quartz	0.0549818
radiator	0.0547896
"picture window"	0.054424
tablecloth	0.0528095
countertops	0.0515914
Walls	0.0511294
lampshade	0.0509414
"kitchen appliance"	0.0507923
"pommel horse"	0.0501734
"card table"	0.0501725
"air duct"	0.049921
guardrail	0.0483785
kitchenette	0.0481565
"Saturday Evening Post"	0.047726
gazebo	0.0475793
nave	0.0470045
carpeting	0.0467929
cistern	0.0466311
flooring	0.0464883
"gas pump"	0.0462086
cornice	0.0457577
dashboard	0.0453233
"kitchen sink"	0.0445392
fender	0.0437601
faucet	0.042904
mulch	0.0427408
watchtower	0.042012
ornamentation	0.0416805
Mendocino	0.0410473
latrine	0.0408954
"power steering"	0.040252
"balance beam"	0.0402302
))
(BASEL (desc 4878.96) (sims
Basle	0.221051
Halle	0.171182
Duesseldorf	0.151953
Linz	0.151484
Bern	0.148361
Lucerne	0.142565
Kitzbuehel	0.139158
Filderstadt	0.133088
Almaty	0.131254
Zurich	0.128435
PALERMO	0.123409
Carlsbad	0.121785
Leipzig	0.119261
Lausanne	0.114332
Stuttgart	0.111961
Rotterdam	0.111795
Gelsenkirchen	0.110334
Eastbourne	0.109062
Madras	0.107898
"Hilton Head"	0.106442
Geneva	0.105471
Hanover	0.105257
Osaka	0.105112
Lugano	0.104447
"San Sebastian"	0.102898
Hamburg	0.102329
Amsterdam	0.101932
Strasbourg	0.100648
Bremen	0.099449
Utrecht	0.0990282
Munich	0.0987368
Frankfurt	0.0983771
Lucknow	0.098099
Perth	0.0978806
Milan	0.0974318
"Key Biscayne"	0.0970035
Trondheim	0.0968006
Hakuba	0.0961482
Copenhagen	0.0950388
Antwerp	0.0949938
Dusseldorf	0.0949407
Karlsruhe	0.094885
"St Petersburg"	0.0943555
Sapporo	0.0935604
Pattaya	0.0933017
"Monte Carlo"	0.0932714
Yokohama	0.092683
Klagenfurt	0.0926591
Gudermes	0.0923888
Trieste	0.0921053
"Manhattan Beach"	0.0921049
Essen	0.0919365
Adelaide	0.0919263
Salzburg	0.0917803
"CHIANG MAI"	0.0916963
"Ciudad Juarez"	0.0915236
Fukuoka	0.0908117
"Indian Wells"	0.0906638
Langkawi	0.0902392
Vienna	0.0898537
Naples	0.0897718
BRUSSELS	0.0895712
"Quebec City"	0.0887304
Christchurch	0.088382
Cologne	0.0882834
Tashkent	0.0881838
Cartagena	0.0878854
Nuremberg	0.0871491
Nagoya	0.0860791
BRATISLAVA	0.0855424
Krakow	0.0854676
Asuncion	0.084709
CARACAS	0.0845371
Minneapolis	0.0842994
Alexandria	0.0831793
Malmo	0.0828447
Auckland	0.0824531
Antalya	0.0821367
Peshawar	0.0816995
Falun	0.0813557
Hobart	0.0810956
Jeddah	0.0810186
"New Haven"	0.0807105
Berlin	0.0803545
Morristown	0.0802001
"Banja Luka"	0.0801139
Chiba	0.079786
Hannover	0.0797815
Ithaca	0.0795243
Vientiane	0.0791075
Prague	0.0790941
MELBOURNE	0.0787567
Rafah	0.0783006
Guadalajara	0.0774917
Davos	0.0773433
Tuzla	0.0768986
Brisbane	0.0768621
"San Juan"	0.0766615
Atambua	0.076655
"San Pedro Sula"	0.0766296
"Melbourne Park"	0.07654
Claremont	0.07652
MAPUTO	0.0762841
Entebbe	0.0761316
"East Orange"	0.0760097
Doha	0.0760017
Wilmington	0.07598
Cairns	0.0757823
Hillsboro	0.0757378
Memphis	0.075687
Edinburgh	0.075423
Abidjan	0.0752734
Genoa	0.0752501
Windhoek	0.0749565
Westfield	0.07495
Turin	0.0749299
Dresden	0.0749295
BUDAPEST	0.0749215
Birmingham	0.0749182
Naperville	0.0748498
Cardiff	0.0748001
Fairfax	0.0745141
Dubrovnik	0.0743488
Winston-Salem	0.0742232
JOHANNESBURG	0.074118
Durban	0.0741104
Seville	0.0740579
Goteborg	0.0739858
MANAMA	0.0739251
"St. Petersburg"	0.0738342
Chamonix	0.0737265
"Bandar Seri Begawan"	0.0735651
Ensenada	0.0735232
"European Swimming Championships"	0.0734135
Surabaya	0.0733591
Gdansk	0.0730077
"Sao Paulo"	0.0729732
Vitoria	0.0728918
Rome	0.0727974
Casablanca	0.0726937
"Oklahoma City"	0.0725158
Madrid	0.0723636
Newark	0.0722936
Honolulu	0.0720886
"Ho Chi Minh City"	0.0720622
Suva	0.0719429
KIEV	0.0714475
Lahore	0.0714332
STOCKHOLM	0.07122
"Mexico City"	0.0709749
Bulawayo	0.0709114
Kigali	0.0707854
Berne	0.0707604
Yerevan	0.0706005
Muscat	0.0702562
Eilat	0.0702406
LISBON	0.0701999
Engelberg	0.0701554
"Tel Aviv"	0.0701294
Yogyakarta	0.0699413
NIS	0.0693906
Vilnius	0.0693684
Ndola	0.0693404
Harbin	0.0693069
Eindhoven	0.0692119
Sirte	0.0691596
Merida	0.0691277
Englewood	0.0689502
Dublin	0.068944
Jericho	0.0689124
Oslo	0.0688603
"Wimbledon Tennis Championships"	0.068841
Bloemfontein	0.068768
Bari	0.0686144
Accra	0.0684613
Istanbul	0.0683054
Toulouse	0.0680474
Ramallah	0.0678594
BRIGHTON	0.0677011
Ipoh	0.0676368
Rabat	0.067634
Greenville	0.0674059
Bergen	0.0672478
"Guatemala City"	0.0672467
Bologna	0.0670792
Hyderabad	0.0670537
"Delray Beach"	0.0669656
Riga	0.0669467
Fairfield	0.0668559
"Stockholm Open"	0.0667314
Izmit	0.066714
Rochester	0.0666102
SEOUL	0.0665544
Lahti	0.0665262
Dearborn	0.0665156
anchorage	0.06628
HARARE	0.0662301
Heidelberg	0.0661118
Pasadena	0.065987
Thessaloniki	0.0659199
))
(baseline (desc 20226.1) (sims
perimeter	0.089929
putback	0.0856745
"foul line"	0.0852933
fastbreak	0.0755502
halfcourt	0.0664081
"goal line"	0.0625352
sideline	0.0624372
tip-in	0.06028
"foul shot"	0.0591968
three-pointer	0.058597
downcourt	0.0563128
lane	0.0549028
basket	0.0540742
tee	0.0540441
layup	0.0534668
midcourt	0.0530785
"bank shot"	0.0530612
"hook shot"	0.0525104
topspin	0.0502237
three-point	0.0500444
bench	0.0493879
forehand	0.0480563
"left wing"	0.0473621
jumper	0.0469934
backhand	0.046662
hoop	0.0456616
"free throw"	0.0451725
Trey	0.0445147
rim	0.0436425
"second base"	0.0432054
fairway	0.0431118
backboard	0.0428177
"jump shot"	0.0425838
TD	0.0422492
angle	0.0412232
"home plate"	0.0409941
"match point"	0.040976
breakaway	0.0409426
"third base"	0.0409332
))
(baseliner (desc 1514.76) (sims
"ground stroke"	0.0767056
Medvedev	0.0721519
Likhovtseva	0.0712062
pixie	0.06935
"security consultant"	0.0661648
puncher	0.0644279
Mauresmo	0.0642212
Puerta	0.0634282
pleaser	0.0610706
Frenchwoman	0.0609077
Gustafsson	0.0608882
Dutchman	0.0596233
Safin	0.0593471
Arazi	0.0585047
Berasategui	0.0575424
wildcard	0.056985
Philippoussis	0.0565035
paralegal	0.0562839
Lucic	0.0562417
"Andreea Raducan"	0.0559294
Maruyama	0.0557674
Dragomir	0.0555793
Capriati	0.0545304
"Velez Sarsfield"	0.0544493
"Adrian Ilie"	0.0536301
Heinze	0.0531577
countryman	0.0530433
southpaw	0.052609
updraft	0.0524902
Hagi	0.0524605
Navratilova	0.0521623
Gimelstob	0.0520842
Susanti	0.0517089
Meligeni	0.0510105
Coetzer	0.0506385
Larsson	0.0506355
Kiefer	0.0502368
Edberg	0.0502318
Nivel	0.0499989
"River Plate"	0.0498577
Taufik	0.0497817
Golota	0.0496219
lightbulb	0.0493953
switch-hitter	0.0493807
"Adrian Voinea"	0.0489151
Damm	0.0486375
sweeper	0.0485791
Virginian	0.0484899
"young actress"	0.0480948
Shenhua	0.0480415
Sidot	0.0479199
Stoltenberg	0.0479196
"Van Roost"	0.0478168
"beam of light"	0.0477412
Corretja	0.0475439
Enqvist	0.0474816
Francisco	0.0474582
"Cedric Pioline"	0.0473874
"Boca Juniors"	0.0472853
fencer	0.0470762
spikers	0.0469997
"Australian Mark Philippoussis"	0.0466777
Speedster	0.0466088
"Felix Mantilla"	0.0465307
"Andy Sheets"	0.0464796
Nicol	0.0459772
torte	0.0458837
Niedermayer	0.0458132
Arthurs	0.0455038
Moya	0.0453392
Testud	0.0453081
"Lleyton Hewitt"	0.0452867
"house painter"	0.0452632
"Viktor Orban"	0.0452146
blowhard	0.0448373
Midwesterner	0.0447883
Haarhuis	0.044766
Swardt	0.0447414
Kuerten	0.0447292
Bjorkman	0.0446093
"Russ Springer"	0.0445611
"batting coach"	0.0444934
Rosset	0.0442798
Wilander	0.0442293
Grahame	0.044114
Kournikova	0.0438484
"big leaguer"	0.043517
Dynamo	0.0434272
landscaper	0.0433557
Ld-Writethru	0.0433484
"eye doctor"	0.0431364
"Diego Maradona"	0.0431107
ousting	0.0426796
"junior middleweight"	0.0426541
Pavel	0.0425177
Zvereva	0.0424239
Tauziat	0.0423459
tie-break	0.0421679
"Byung-Hyun Kim"	0.0420907
"Tommy Haas"	0.0419056
Ilie	0.0418569
groundstrokes	0.0418476
"moral force"	0.0418306
manicurist	0.0418168
Hrbaty	0.0417751
crooner	0.0416228
Atler	0.0416177
panhandler	0.0414738
tomboy	0.0414643
"Justin Rose"	0.0411935
"mechanical engineer"	0.041138
geophysicist	0.0410936
firebrand	0.0410296
knucklehead	0.0409562
"two pitchers"	0.0408286
Prinosil	0.0407223
"Thomas Youk"	0.0405667
"little leaguer"	0.040514
"Joko Suprianto"	0.0405081
"Mariano Zabaleta"	0.04043
"UNIX operating system"	0.0403905
"second unit"	0.0403892
"civil engineer"	0.0403809
Haas	0.0402606
RPI	0.0402501
"art teacher"	0.0402428
Spirlea	0.0401724
"character actor"	0.0401534
Schalken	0.0401266
Rusedski	0.0400078
))
(basemen (desc 5467.49) (sims
closers	0.177972
shortstop	0.140685
rebounders	0.139698
"second baseman"	0.138236
"third baseman"	0.134803
"starting pitcher"	0.133473
outfielder	0.128589
catcher	0.123986
"first baseman"	0.122503
defensemen	0.120351
"designated hitter"	0.111382
"center fielder"	0.111133
hitter	0.110392
placers	0.106679
infielder	0.10465
pitcher	0.101405
QBs	0.100231
"left fielder"	0.0999302
rushers	0.0990923
reliever	0.0954839
"first pitcher"	0.0954041
lefthander	0.089372
goaltenders	0.0870232
cornerbacks	0.0845202
pinch-hitters	0.0835267
goal-scorer	0.0831717
slugger	0.0825467
playmakers	0.0820135
tacklers	0.0813961
umpire	0.0787685
"three pitchers"	0.0785548
hurler	0.078496
third-best	0.0782935
pennant	0.0779051
ump	0.0771275
linemen	0.0756976
"batting average"	0.0729505
goalie	0.0724638
vote-getter	0.0723218
"won-lost record"	0.0719336
third-highest	0.0708477
"farm team"	0.0703819
Kicker	0.0703506
"right fielder"	0.06943
"pinch hitter"	0.0688999
"most valuable player"	0.0688517
"ball club"	0.0685011
ballplayer	0.0681056
switch-hitter	0.0669254
"triple play"	0.0663871
quickest	0.0651241
returners	0.0651
vote-getters	0.0649489
"tight end"	0.0648136
"baseball player"	0.0644676
pitching	0.0644494
goaltender	0.0642828
"role player"	0.0640946
signees	0.063675
"Joe Carter"	0.06329
wideouts	0.0630308
miler	0.0629648
passer	0.0625322
defenseman	0.0624747
goalscorer	0.0620852
second-longest	0.0620355
"left-handed pitcher"	0.0619812
"Eric Davis"	0.0615247
punter	0.0613247
DH	0.0604259
baserunner	0.060234
"major leaguer"	0.0601253
"running back"	0.0594873
"base runner"	0.0591928
MVP	0.0591814
"relief pitcher"	0.0591216
"Doug Pederson"	0.0590889
matchups	0.0582733
trimester	0.0576956
second-worst	0.0571849
second-highest	0.0557531
triple-double	0.0550889
"Cy Young Award"	0.054866
outfield	0.0548285
second-most	0.0543336
"Jose Canseco"	0.0533737
lineman	0.0524399
fewest	0.0520181
All-stars	0.0516758
righthander	0.0516441
ref	0.0516271
Stealers	0.0515645
"minor leaguer"	0.0515632
triathletes	0.0515472
linebacker	0.0514983
greats	0.0514898
miscue	0.0510985
minor-leaguers	0.050924
rebounder	0.0507374
longest	0.0504819
"Joe Kleine"	0.0504807
"pitching coach"	0.0502456
bloodiest	0.0501716
"dramatic event"	0.0498374
"two pitchers"	0.0498023
"chess player"	0.0490552
left-hander	0.0489832
"Gary Gaetti"	0.04883
evaluator	0.0487236
underachiever	0.0485065
midfielders	0.0480208
rusher	0.0476317
tandem	0.0475007
"second best"	0.0474716
"batting order"	0.0474011
infield	0.0471029
"Gold Glove"	0.0470085
"Andy Sheets"	0.0469754
prong	0.0468813
"Angel Pena"	0.046789
businesswomen	0.0466043
deepest	0.0462673
richest	0.0461513
placer	0.0461274
downs	0.0461124
"Chad Kreuter"	0.0461021
"Charles Haley"	0.0458623
"big leaguer"	0.04575
lefty	0.0457412
returner	0.0453858
double-double	0.0452959
outhit	0.0452161
finisher	0.0452087
"John Fox"	0.0451889
"baseball club"	0.0448143
ballclub	0.0445797
"pass catcher"	0.0440627
"written language"	0.0440187
stopper	0.0437975
duo	0.0436801
"two lines"	0.0435152
"baseball team"	0.0432645
quarterfinalists	0.0432358
"tennis player"	0.043096
newsmagazines	0.0428559
marathoner	0.042671
"Sam Adams"	0.042429
"farm club"	0.0423619
"Brian Jordan"	0.0422774
"Ferric Collons"	0.0421869
timeouts	0.0420335
"five spot"	0.0419676
"Kent Graham"	0.0418776
cornerback	0.0418408
"Mark Smith"	0.0417904
"Mike Jones"	0.0417391
netminder	0.0416518
"Trace Armstrong"	0.0415771
at-bat	0.0415655
tailback	0.0415171
baserunners	0.0413648
"hockey player"	0.041008
"Larry Whigham"	0.0410068
"Terry Porter"	0.0409342
"long-distance runner"	0.0407123
"first team"	0.0406986
"Grant Long"	0.0406489
"first points"	0.0406005
"first basket"	0.0404601
"Don Sutton"	0.0404076
inning.	0.0403844
playmaker	0.0402167
"Todd Husak"	0.0401488
"Dana Stubblefield"	0.0401465
thrower	0.040072
"Ken Griffey"	0.040018
curveballs	0.0400069
))
(basement (desc 50497.3) (sims
cellar	0.163168
garage	0.156515
bedroom	0.148563
room	0.136619
closet	0.135511
bathroom	0.132906
"living room"	0.130627
apartment	0.130068
kitchen	0.129722
hallway	0.123661
"first floor"	0.122835
Warehouse	0.120717
courtyard	0.115269
"back room"	0.114974
"dining room"	0.112963
lobby	0.111329
attic	0.109482
"conference room"	0.10673
"family room"	0.10622
"parking lot"	0.102301
gymnasium	0.100221
floor	0.100127
building	0.0977341
auditorium	0.0958471
"ground floor"	0.0954983
house	0.0949661
hall	0.0941831
pantry	0.0911954
library	0.0905678
shed	0.0905568
cave	0.0905197
attics	0.0879769
classroom	0.0872592
gym	0.0868331
loft	0.0864698
backyard	0.0858511
cabin	0.0852869
cafeteria	0.0837975
barn	0.0834648
restroom	0.0833933
dormitory	0.0821053
foyer	0.0818267
drawer	0.0817345
den	0.0813681
"dressing room"	0.0812248
studio	0.081224
home	0.0810174
corner	0.080095
"swimming pool"	0.0792323
cubicle	0.0791886
shelter	0.0783838
roof	0.0779831
office	0.0775298
"hotel room"	0.0774662
garden	0.0774474
tent	0.0773464
space	0.0773169
"back yard"	0.0773149
ballroom	0.07701
stairwell	0.0763412
"master bedroom"	0.0760498
hotel	0.075904
Alley	0.0758647
"office building"	0.0758081
elevator	0.0756007
"storage room"	0.0753749
bathtub	0.0751433
tunnel	0.0751285
clubhouse	0.0746764
parlor	0.0743636
neighborhood	0.0743401
lounge	0.0742392
dorm	0.0741181
porch	0.0737156
"bomb shelter"	0.073663
pit	0.0735159
hut	0.0734861
rotunda	0.0733673
vestibule	0.0730752
trunk	0.0724782
wall	0.0722712
"dorm room"	0.0719902
gallery	0.0715083
chapel	0.0712246
shop	0.0710815
yard	0.071013
cottage	0.070971
doorway	0.0706493
driveway	0.0706077
patio	0.0703442
toilet	0.0700597
store	0.0696979
mansion	0.0692831
atrium	0.0689611
trailer	0.0689194
courtroom	0.0688107
compartment	0.0686359
alcove	0.0684863
bunker	0.068338
vault	0.0681744
complex	0.0681467
"front yard"	0.0678211
pool	0.0678006
balcony	0.0677938
"locker room"	0.0671979
corridor	0.0671204
hangar	0.067022
suite	0.0669835
freezer	0.0669757
restaurant	0.0667807
terrace	0.0657785
locker	0.0657102
window	0.0652002
storeroom	0.0651593
chamber	0.0648772
sanctuary	0.0646926
park	0.0646033
"dining area"	0.0645945
street	0.0645751
showroom	0.0644215
cavern	0.064322
bed	0.0643184
refrigerator	0.0642154
courthouse	0.0642132
storefront	0.063991
cafe	0.0638052
interior	0.0635698
front	0.063277
cemetery	0.0627893
church	0.062639
ceiling	0.0624989
mall	0.0624542
Tower	0.062374
theater	0.0623573
plaza	0.0622448
deck	0.0621087
valley	0.0620357
"waiting room"	0.0614106
bar	0.0611503
shack	0.0608052
"movie theater"	0.060802
box	0.060521
rubble	0.0604854
shelf	0.0604771
lawn	0.0603136
Bin	0.0601887
"front porch"	0.0600748
village	0.059773
condominium	0.0593515
"sitting room"	0.0592532
entrance	0.0591501
booth	0.0590781
Dome	0.0589733
"apartment building"	0.0589161
cupboard	0.0586721
"Oval Office"	0.0583856
facade	0.0577017
schoolhouse	0.0574916
compound	0.0574651
jungle	0.0574184
cell	0.0572444
ruin	0.0568547
motel	0.0568542
"shopping center"	0.056563
dwelling	0.0565022
cage	0.0564376
door	0.056394
car	0.0562838
tub	0.0561547
pond	0.0561046
rooftop	0.0560217
"mobile home"	0.0558967
palace	0.0558618
factory	0.0558489
enclosure	0.0558424
farmhouse	0.055625
Villa	0.0556194
facility	0.0553188
downtown	0.0551994
van	0.0550872
ground	0.0550703
bowel	0.0548992
arena	0.0545486
"grocery store"	0.0543999
stair	0.0543914
school	0.0541999
Stairway	0.0540157
"motel room"	0.0540034
aisle	0.0538444
barrack	0.0537692
storage	0.05374
"open air"	0.0537125
"subway station"	0.05354
location	0.0535198
hospital	0.0534429
tank	0.0533997
fireplace	0.053349
forest	0.0533294
stadium	0.0532887
penthouse	0.0532036
))
(basepaths (desc 1598.19) (sims
"pitcher's mound"	0.0661556
"ground ball"	0.0525482
"LPGA Tour"	0.046756
"Eric Owens"	0.0463414
comebacker	0.042756
AMF	0.0410863
semicolon	0.0400273
))
(baserunner (desc 1787.37) (sims
"base runner"	0.328231
baserunners	0.259754
"three pitchers"	0.146828
"one homer"	0.126817
"black person"	0.120029
"Todd Walker"	0.109037
"one sack"	0.106692
"earned run"	0.105027
no-decision	0.0945864
"Rafael Furcal"	0.0934288
"Terrence Long"	0.0921224
"triple play"	0.0895319
"Tony Phillips"	0.0892928
"service break"	0.0889068
"batting coach"	0.0864075
Furcal	0.0860837
"unearned run"	0.0856748
"Luis Castillo"	0.0854867
"Mac Suzuki"	0.0848152
"base hit"	0.0846167
"Mike Cameron"	0.0845295
"white person"	0.0843238
"Tom Goodwin"	0.0839758
"Mike Caruso"	0.0837638
"center fielder"	0.0836051
"Eric Owens"	0.0834688
lefthander	0.0824681
"Herbert Perry"	0.0814984
"Otis Nixon"	0.08146
"Marty Cordova"	0.081229
"Marvin Benard"	0.0809423
"starting pitcher"	0.0803405
"Pat Hentgen"	0.0793262
"first pitcher"	0.0792012
Cedeno	0.0787657
"Lance Johnson"	0.0783363
"Chris Carpenter"	0.0778793
Catalanotto	0.0778269
"four homers"	0.0762176
"right fielder"	0.0758449
"written language"	0.0752986
"Magglio Ordonez"	0.0752373
"Charlie Hayes"	0.0752353
reliever	0.0751427
"Jim Parque"	0.0748366
Renteria	0.0745784
"Randy Velarde"	0.0739701
"Jason McDonald"	0.0735708
slugger	0.0734833
"second baseman"	0.0733831
apparatchiks	0.0731399
"Doug Glanville"	0.0724058
"two baskets"	0.0718851
righthander	0.0715932
shortstop	0.0713928
"Jose Offerman"	0.0712624
rainout	0.0711546
"Woody Williams"	0.0706515
"Fernando Vina"	0.0705754
dribbler	0.0704267
"Walt Weiss"	0.0702193
Mulligan	0.0699814
"Gerald Williams"	0.0697737
"eight homers"	0.0697062
"Shannon Stewart"	0.0696959
zinger	0.0695924
"David Dellucci"	0.0694627
Giambi	0.0691648
"pitching coach"	0.0691638
"Ron Coomer"	0.0689977
"Matt Lawton"	0.0688956
"first baseman"	0.0688368
"six homers"	0.0686436
Glanville	0.0686111
"first basket"	0.0682225
DH	0.0681727
"hockey coach"	0.0680469
"Carlos Beltran"	0.0680041
"Mark McLemore"	0.0680005
"Quinton McCracken"	0.0678661
"two sacks"	0.0678519
"two homers"	0.06731
"minor leaguer"	0.0672549
stoplight	0.0671116
"ball club"	0.0670923
"Paul Konerko"	0.0670807
Randa	0.067042
"left fielder"	0.0670217
"Orlando Palmeiro"	0.0670202
"three sacks"	0.06686
"Brian Hunter"	0.0667741
"more than @@@ yards"	0.0665467
"third baseman"	0.0659794
stinker	0.0659475
"major-league team"	0.0655043
Lofton	0.0649974
"Darrin Fletcher"	0.0649895
"big leaguer"	0.0645048
DeShields	0.064504
"Rickey Henderson"	0.0643148
non-factor	0.0643014
Offerman	0.0642589
"major leaguer"	0.0642193
balloonist	0.0640947
ballplayer	0.0638916
batsman	0.0637778
"Darin Erstad"	0.0634957
top-@@	0.063375
goal-scorer	0.063307
Womack	0.0632602
team.	0.0632273
"Johnny Damon"	0.0630803
fielder	0.0627894
"Jeff Huson"	0.0626814
"Reggie Sanders"	0.0625017
"common factor"	0.0624556
"Carlos Febles"	0.0623485
off-balance	0.0621169
"No. @s"	0.0620381
Laker	0.061559
"Damion Easley"	0.0615164
"more than @@ yards"	0.0612732
goaltender	0.0611883
"David Bell"	0.0608563
time.	0.0607147
"Luis Alicea"	0.060599
"Corey Koskie"	0.0605785
"Joe McEwing"	0.0605201
"seeded player"	0.0603712
basemen	0.060234
"Derek Bell"	0.0602267
mammogram	0.0601695
"Ray Durham"	0.0601601
"Devon White"	0.0601171
"trump card"	0.0599869
kwanza	0.0599794
first-rounder	0.0598845
"two pitchers"	0.0598831
slipup	0.05986
"Jeff Weaver"	0.0598142
"Melvin Mora"	0.0598051
"pass catcher"	0.0597671
"Rey Sanchez"	0.0596751
"Luis Polonia"	0.0595708
"Damian Miller"	0.0593735
"Gary Brown"	0.0593082
Nevin	0.0590303
"David Ortiz"	0.0587813
"Mike Sweeney"	0.0587312
"foul ball"	0.0586271
"Damian Jackson"	0.0585035
"round of golf"	0.0584182
"Bret Boone"	0.0583752
"Esteban Loaiza"	0.0583404
"five homers"	0.0581881
farmhand	0.0581554
rushers	0.0581496
"Eric Young"	0.0578671
"Alex Gonzalez"	0.0577936
"Kenny Lofton"	0.0576325
"Tony Womack"	0.057627
"Roberto Kelly"	0.0575922
ballclub	0.0575627
changeup	0.0575398
"frame of reference"	0.0572889
"Quilvio Veras"	0.0572138
"Greg Myers"	0.0571354
"designated hitter"	0.0570572
"Sean Bergman"	0.0570227
"Dan Wilson"	0.0570018
"Shawn Estes"	0.056989
Mabry	0.0569519
hole-in-one	0.0568678
Velarde	0.0567936
"Russ Ortiz"	0.0567655
"farm club"	0.0567345
"sounding board"	0.0567042
"Omar Olivares"	0.0565994
"Davey Lopes"	0.0564857
"Tim Hudson"	0.0564448
Vidro	0.0562534
Astro	0.056212
"Garret Anderson"	0.0561799
"over .@@@"	0.0561279
"market penetration"	0.0560568
"Andruw Jones"	0.0560179
triple-double	0.0559941
"Roger Cedeno"	0.0559755
puncher	0.0559528
go-round	0.0559174
"more than four"	0.0558532
"Brad Radke"	0.0558428
stat	0.0556237
"Brook Fordyce"	0.0555488
"one school"	0.0555447
"Matt Walbeck"	0.0553679
rebounders	0.0551787
"Jeff Bagwell"	0.0551206
Veras	0.0549989
"Kevin Appier"	0.0549735
))
(baserunners (desc 2734.29) (sims
"base runner"	0.381342
baserunner	0.259754
"unearned run"	0.203041
"earned run"	0.161311
B-@s	0.136341
crewmembers	0.135039
"service break"	0.128236
no-decisions	0.126824
"base hit"	0.126586
great-grandchildren	0.126458
"one homer"	0.125859
"major-league team"	0.120437
Stealers	0.118884
QBs	0.11666
"foul shot"	0.116196
takeaways	0.115756
faceoffs	0.115415
"one sack"	0.115312
"All-Star Games"	0.114754
"Pro Bowls"	0.1142
starts.	0.113933
"wild pitch"	0.113909
"three pitchers"	0.112584
runner	0.110937
"three homers"	0.110904
"extra points"	0.109873
Dutchmen	0.109616
"Cy Young Awards"	0.109388
curveballs	0.109172
"elbow room"	0.10796
"six homers"	0.106386
"major league season"	0.106281
outs	0.105028
games.	0.104506
"Final Fours"	0.103468
batsmen	0.10321
years.	0.102626
TDs	0.102531
strikeout	0.102041
"break of serve"	0.101783
"day of rest"	0.101068
"No. @s"	0.0996708
"double play"	0.0995856
"eight homers"	0.0990767
"Tyler Houston"	0.098985
"two homers"	0.0978664
"last @@ points"	0.0961937
"Ryder Cups"	0.0955274
postseasons	0.0925992
innings.	0.0924837
"four homers"	0.092045
seasons.	0.0916163
pinch-hitters	0.0915819
"Geoff Jenkins"	0.0908516
deuce	0.0902897
RBI	0.0892518
All-Americans	0.0889329
Burnitz	0.0881625
Trey	0.0880717
par-@s	0.0878096
"British Opens"	0.0873301
"running play"	0.0871725
runnings	0.0870854
top-@@	0.0869825
Mabry	0.0867366
"Stanley Cups"	0.0854625
"Bengie Molina"	0.0854393
no-decision	0.0853212
upperclassmen	0.0846739
"five homers"	0.0839526
"solo homer"	0.0831091
wideouts	0.0829238
signees	0.0817915
"over .@@@"	0.0817405
Vidro	0.0816483
firsts	0.0815704
at-bat	0.0814093
MiG-@@s	0.0811001
bogy	0.0810553
Glanville	0.0810481
MiGs	0.0810223
"Mark Loretta"	0.0806199
"third homer"	0.0795055
defensemen	0.0794322
"Troy Percival"	0.0791319
timeouts	0.0783386
A@@@s	0.0781546
"more than @@@ yards"	0.0778981
"seven homers"	0.0777895
"Reggie Sanders"	0.0776359
skydiver	0.0772582
"Tino Martinez"	0.0771112
"fatal accident"	0.0769481
"seeded player"	0.076774
"Jeromy Burnitz"	0.0766789
"batting coach"	0.0765375
spacewalks	0.0764781
midfielders	0.0764485
overs	0.0762775
"free throw"	0.075983
rushers	0.0759702
"Mike Caruso"	0.0759617
"speeding ticket"	0.0759094
three-pointers	0.0753765
"polling booth"	0.0753568
"Damian Miller"	0.0752009
"three sacks"	0.075157
"Fernando Vina"	0.0750358
"Garret Anderson"	0.0750005
crewmates	0.0749956
"Gerald Williams"	0.0745947
"Gold Gloves"	0.0745275
minor-leaguers	0.0744022
"Kurt Abbott"	0.074263
state-level	0.0741519
sub-projects	0.0741502
aldermen	0.074095
"Super Bowls"	0.0740947
"foster child"	0.0739471
freebies	0.073767
"Mike Cameron"	0.07369
"fifth homer"	0.0734434
"Texas Democrats"	0.0734097
"Ruben Rivera"	0.0733177
Ausmus	0.073275
"Rich Becker"	0.0730729
rebounders	0.0729818
nonwhites	0.0728436
Catalanotto	0.0728377
major-leaguers	0.0725994
wicket	0.0724214
"Derek Bell"	0.0723666
"U.S. Opens"	0.0719292
"Benny Agbayani"	0.0718563
Concordes	0.0717758
"Doug Glanville"	0.071609
near-misses	0.0715917
"two sacks"	0.0713174
knockdown	0.0710494
Brosius	0.0706891
"Baby Bells"	0.0706706
changeups	0.0704429
"Marvin Benard"	0.0702723
Randa	0.0697053
"Kevin Young"	0.0695061
Nevin	0.0694954
Opens	0.0694404
hundredth	0.0689624
"flight of stairs"	0.0689055
"North Africans"	0.0688247
"starting pitcher"	0.0687281
"Benji Gil"	0.0686481
"devil ray"	0.0683696
Frenchmen	0.0683037
tacklers	0.068267
goaltenders	0.0681886
guardsmen	0.0680013
quarterfinalists	0.0679986
shutout	0.0679702
"Gregg Jefferies"	0.067741
"Melvin Mora"	0.0677271
"World Cups"	0.0675778
"road game"	0.0675631
Zeile	0.0674312
"Charlie Hayes"	0.0671688
"freight car"	0.0669756
linemen	0.0665958
closers	0.066524
Klesko	0.0663508
"PGA Championships"	0.0661388
"Jose Valentin"	0.0659979
"Jose Guillen"	0.0659742
"Eric Owens"	0.0658743
"more than @,@@@ yards"	0.0658282
Rolen	0.0656949
"Jason Kendall"	0.0656636
"Rich Aurilia"	0.0656359
illegals	0.0652957
crewmen	0.0652597
"three match points"	0.0651196
"Deivi Cruz"	0.0650262
"sixth homer"	0.064984
"seventh homer"	0.0649374
tenths	0.0644283
"Darin Erstad"	0.0644068
abstention	0.0643988
Hollins	0.0643178
miscarriage	0.0642335
"Manny Alexander"	0.064195
"Travis Lee"	0.0641322
holidaymaker	0.0641145
"first @@ points"	0.0638365
"Miguel Cairo"	0.0637062
McRae	0.063597
hurler	0.0635213
"Lance Johnson"	0.0635125
"ground ball"	0.0633466
Cedeno	0.0632526
"sacrifice fly"	0.0631773
"Jason Bere"	0.0629004
))
(BASF (desc 3732.21) (sims
Bayer	0.275842
Hoechst	0.235681
Novartis	0.214945
Rhone-Poulenc	0.197255
ABB	0.163292
Siemens	0.158181
Allianz	0.14923
Monsanto	0.148407
Nestle	0.14177
"Glaxo Wellcome"	0.140968
Dupont	0.139741
Enron	0.138453
ICI	0.13375
Alcatel	0.1328
Ericsson	0.132008
Esso	0.129691
DaimlerChrysler	0.12969
Chiron	0.129497
Aegon	0.129083
Cargill	0.126562
"Siemens AG"	0.125551
Matsushita	0.124667
"Abbott Laboratories"	0.12318
Bertelsmann	0.122251
Chevron	0.121707
Softbank	0.121692
AXA	0.120857
Eni	0.120061
Motorola	0.116073
Exxon	0.114744
BP	0.114468
Unilever	0.114145
"Union Carbide"	0.112053
Philips	0.111477
Daimler-Benz	0.111285
Volkswagen	0.10923
AstraZeneca	0.10834
Genentech	0.107801
Kodak	0.107711
Schlumberger	0.107641
"Motorola Inc."	0.106253
"Eli Lilly"	0.10608
UBS	0.104418
"P&AMP;G"	0.104406
"Deutsche Telekom"	0.10417
"Du Pont"	0.103732
"Softbank Corp."	0.103533
PETROBRAS	0.103302
ING	0.103218
"Daimlerchrysler AG"	0.102749
Caltex	0.10223
"News Corp."	0.10223
YPF	0.101868
"Knight Ridder"	0.101849
AIG	0.100827
Roche	0.10032
Starwood	0.0999217
"Tele-Communications Inc."	0.0990688
Scientific-Atlanta	0.098641
Petronas	0.0984
Weyerhaeuser	0.0979274
"Dow Corning"	0.0977131
Pfizer	0.0972972
CMGI	0.0972898
Telkom	0.0969978
"Bertelsmann AG"	0.0967483
Fiat	0.096338
MCI	0.0961007
"De Beers"	0.0960567
Daimler-Chrysler	0.0955257
Renault	0.0951683
NORTHROP	0.0950354
"SBC Communications Inc."	0.0948326
"R.J Reynolds"	0.0947918
Nokia	0.0947671
Mobil	0.0945468
"Mannesmann AG"	0.0944631
Amoco	0.0944501
Corning	0.094328
"American International Group"	0.094178
Sumitomo	0.0935514
"Thomson CSF"	0.0934571
Nortel	0.0932384
Pemex	0.0929524
"Deutsche Bank"	0.0928343
ARCO	0.0927871
IAI	0.0922729
Audi	0.0918361
"Enron Corp."	0.0916901
"Fannie Mae"	0.0914954
"BP Amoco"	0.0913016
"Philip Morris"	0.0903094
Texaco	0.0890246
NEC	0.0889266
Schering	0.0889245
"UBS AG"	0.0887101
"CMGI Inc."	0.0885334
Pepsico	0.0883025
"Cisco Systems Inc."	0.087807
"International Paper"	0.0877561
Lukoil	0.0874037
IDT	0.0870258
Georgia-Pacific	0.0866599
Lg	0.0865542
Merck	0.0864374
BMW	0.0861527
"Sara Lee"	0.086117
"Levi Strauss"	0.0860776
Thyssen	0.0860106
NiSource	0.0858869
Alcoa	0.0858225
Krupp	0.0856774
Aventis	0.0855064
"Northern Telecom"	0.0854536
"General Motors Corp."	0.0852212
UTC	0.0851985
PolyGram	0.0850121
Amgen	0.0849478
EMC	0.0849384
TYCO	0.0844471
"Royal Dutch/Shell"	0.0844006
SmithKline	0.0840817
Seagate	0.0839145
"Berkshire Hathaway"	0.0838363
Mannesmann	0.0835844
Volvo	0.0833848
"Halliburton Co."	0.0832424
Astra	0.0832102
"Merck &AMP; Co."	0.0830376
"Monsanto Co."	0.0829258
"Lucent Technologies"	0.0829109
Citigroup	0.0828936
Vivendi	0.0828221
Adelphia	0.0826515
"Georgia Power"	0.082584
Penney	0.0824966
Samsung	0.0823376
Delphi	0.0823099
"Eastman Kodak"	0.0822666
"General Electric"	0.081801
Cablevision	0.0812221
"Klaus Naumann"	0.0809138
BellSouth	0.0804878
"United Technologies"	0.0802112
"Volkswagen AG"	0.0799312
Honeywell	0.0798744
Checkfree	0.079842
HSBC	0.0797814
Hitachi	0.07978
"General Motors"	0.0797681
"Nippon Telegraph"	0.0796802
IBM	0.0795702
SNCF	0.0793674
GANNETT	0.0793141
"Time Warner"	0.079209
Sanyo	0.0791439
RJR	0.0790252
Viacom	0.0790157
Fujitsu	0.0789991
Mitsubishi	0.0788658
VW	0.0784754
"Ford Motor"	0.0784185
"Credit Suisse"	0.078049
BNFL	0.0779979
Bridgestone	0.0779923
Tropicana	0.0778223
Qualcomm	0.077721
"Johnson &AMP; Johnson"	0.0776002
Aetna	0.0773272
SFX	0.0773254
HP	0.0771181
Raytheon	0.0770706
Hasbro	0.0770049
"Aetna Inc."	0.0769189
RealNetworks	0.076646
"Coca Cola"	0.0764744
"Coca-Cola Co."	0.0764725
"American Home Products"	0.0762385
Westinghouse	0.076144
CMG	0.0760798
Gazprom	0.0759162
Daewoo	0.0757844
UAL	0.0756094
transnationals	0.0754666
Daimler	0.075225
"HBO &AMP; Co."	0.0751062
Ltd	0.0750919
Healtheon	0.0749862
"Time Warner Inc."	0.0749815
McKesson	0.0749447
"Sony Corp."	0.0749431
Newcombe	0.0748018
"Coca-Cola Enterprises"	0.074474
"News Corp"	0.0741175
"France Telecom"	0.0740195
Cadbury	0.0738414
Ge	0.0738016
EBRD	0.0737679
WorldCom	0.0736958
NTT	0.0736941
))
(bash (desc 13367.3) (sims
gala	0.1428
festivity	0.120941
celebration	0.10112
luncheon	0.0999349
"cocktail party"	0.0975804
soiree	0.0953266
fund-raiser	0.093691
banquet	0.093153
Fete	0.0914018
"dinner party"	0.0889242
dinner	0.0879647
extravaganza	0.0863421
concert	0.0853887
"benefit concert"	0.08037
reception	0.0779052
commemoration	0.0777262
parade	0.0773704
reunion	0.0744136
"open house"	0.0723443
Carnival	0.0720692
festival	0.0703271
ceremony	0.0693307
shindig	0.069141
gathering	0.0676743
pageant	0.0674877
confab	0.0666019
"wedding ceremony"	0.0663029
feast	0.0651939
"tea party"	0.0648225
wedding	0.0645904
picnic	0.0623305
"All-Star Game"	0.0614838
barbecue	0.0609667
powwow	0.0607041
fiesta	0.0596889
"three-day event"	0.0588235
fundraiser	0.0583012
brunch	0.0577987
"rock concert"	0.0569811
emporium	0.0569232
"jam session"	0.056753
"Grammy Awards"	0.0564484
"summit meeting"	0.055582
lovefest	0.0554921
breakfast	0.0552066
conclave	0.0548388
"Summer Olympic Games"	0.0548036
"news conference"	0.054168
Oktoberfest	0.0539241
"prayer meeting"	0.0539075
"Consumer Electronics Show"	0.0537129
reveler	0.0528855
reenactment	0.0528395
gig	0.0525738
premiere	0.052285
lunch	0.0520234
salute	0.0515289
"town meeting"	0.0513322
bonfire	0.0513066
"ad campaign"	0.0509033
get-togethers	0.0506783
"social event"	0.0505039
fundraisers	0.0505003
"Summer Olympics"	0.0499539
"summer camp"	0.0498731
AMM	0.0497953
supper	0.0496996
firework	0.0496348
"pep rally"	0.0495596
"Ministerial Conference"	0.049462
"International AIDS Conference"	0.0493512
"Democratic National Convention"	0.0493456
raiser	0.0489771
Exposition	0.0487964
revelry	0.0487892
telethon	0.0487871
"church service"	0.0487195
"Republican National Convention"	0.048542
"ski race"	0.0484654
"jazz festival"	0.0483635
"Nissan Open"	0.0482749
"World AIDS Conference"	0.0479573
"victory celebration"	0.0478442
"World Environment Day"	0.0477476
showdown	0.0476195
spectacle	0.0473612
"Summer Games"	0.0468813
"get together"	0.0468611
symposium	0.0465524
"press conference"	0.0463446
sendoff	0.045951
screening	0.0457113
observance	0.045472
"wedding party"	0.0451499
"Olympic Games"	0.0449393
hoopla	0.0448204
Telecast	0.0447479
"ad blitz"	0.0446405
"wedding anniversary"	0.0445956
vigil	0.0444834
roadshow	0.0441352
"Olympic Winter Games"	0.0440554
buffet	0.0439495
"Buick Invitational"	0.0439377
"committee meeting"	0.0438561
"Academy Awards"	0.0438256
"house party"	0.0437181
"wedding reception"	0.0436457
"variety show"	0.0435876
blowout	0.0435819
"art exhibition"	0.0434316
getaway	0.043367
"Earth Day"	0.0433386
"board meeting"	0.0432844
tasting	0.0432599
"religious ceremony"	0.0432349
"Gold Cup"	0.0432344
recital	0.04313
finery	0.0427656
nuptials	0.0426068
"basketball game"	0.0420942
reunions	0.0420185
"New Year's eve"	0.0419251
homecoming	0.0418998
hangout	0.0418362
"Winter Games"	0.0417845
"Commonwealth Games"	0.0417255
coronation	0.0416605
funeral	0.041587
"Brickyard @@@"	0.0415098
"ASEAN Ministerial Meeting"	0.0413053
frenzy	0.0412956
"Pacific Classic"	0.041282
"baseball game"	0.0412796
"religious service"	0.0409411
Freaknik	0.0407607
raffle	0.0407025
workshop	0.0406798
procession	0.040626
off-day	0.0404391
"X Games"	0.0404052
Events	0.0403822
"theatrical performance"	0.0403446
Revue	0.0403212
greeting	0.0402859
Grammys	0.0402115
"road show"	0.0400205
))
(Bashar (desc 8745.44) (sims
"Bashar Assad"	0.314708
Abdullah	0.135291
Assad	0.132604
Rifaat	0.12229
"Kim Jong Il"	0.121691
Lahoud	0.117956
al-Assad	0.117794
Putin	0.116546
"Vladimir Putin"	0.11185
Odai	0.106404
Sezer	0.103525
"King Abdullah"	0.100684
Nateq-Nouri	0.100657
Obasanjo	0.100618
Hamzah	0.0957149
Obuchi	0.0951003
Habibie	0.0945477
Majko	0.0910601
Kiriyenko	0.0885498
Brundtland	0.0878678
Wahid	0.0867974
Koch-Weser	0.086536
Katsav	0.0856349
"Thabo Mbeki"	0.0856116
"Yoshiro Mori"	0.0851457
Koehler	0.084974
"Abdurrahman Wahid"	0.0849427
Mubarak	0.0832579
Noboa	0.0827002
Nujoma	0.0825948
Supachai	0.082414
Bouteflika	0.0822501
"George W."	0.0819675
Fujimori	0.0810517
Pastrana	0.0810197
Peres	0.0809406
"James P. Hoffa"	0.0808687
Mori	0.0804301
Azizah	0.0801648
Stepashin	0.0800971
Hassan	0.0798086
Kajiyama	0.0793589
Ekeus	0.0792693
Mbeki	0.0791959
"Sonia Gandhi"	0.0791707
Zeroual	0.0788981
Koirala	0.078895
Rau	0.0788576
Khatami	0.0788293
Iger	0.0779949
Moi	0.0779414
Hormel	0.0776366
Ciampi	0.0772437
Stoyanov	0.0753333
Primakov	0.0751372
Mandela	0.0750532
Hrawi	0.0741659
Ranariddh	0.0740285
"Mohammad Khatami"	0.0734877
"Bill Lann Lee"	0.073466
"Kim Jong-pil"	0.0728508
Chernomyrdin	0.0727398
Kaunda	0.0726448
"Wolfgang Schaeuble"	0.0726351
Abubakar	0.0725107
Shui-bian	0.0719081
Cardoso	0.0715657
Brody	0.0713546
Kumaratunga	0.0713514
ROMNEY	0.0712455
Neil	0.0710403
Taft	0.0708944
Weizman	0.0707102
Netanyahu	0.0705478
"John F. Kennedy"	0.070397
Hoffa	0.070301
Megawati	0.0698505
Zuma	0.0697707
Kim	0.0695216
Rafsanjani	0.0694548
Barak	0.0694073
Blix	0.0691872
"Ricardo Lagos"	0.0691143
Hussein	0.0690953
Estrada	0.068743
"John Jr."	0.0682607
Demirel	0.0677044
Ralston	0.0676399
T.J	0.0675981
"B.J Habibie"	0.067532
Blatter	0.0675267
Tung	0.0674642
Jeffrey	0.0672791
Tarawneh	0.0672782
Masire	0.0671367
"Al Gore"	0.0669209
"John Quincy Adams"	0.0669183
Vogts	0.0668549
"George Bush"	0.0668033
"Ehud Barak"	0.0666915
Kagame	0.0665947
Arafat	0.0665315
Samaranch	0.0664355
Saleh	0.0662774
Christopher	0.0662657
Kostunica	0.0660988
Constantinescu	0.0658735
Omar	0.065835
Shara	0.0657454
Aleman	0.0657139
Excellency	0.0655284
"Jiang Zemin"	0.0654537
Gujral	0.0654208
Ikeda	0.065395
"Horst Koehler"	0.0652885
Clerides	0.065197
Pangalos	0.0651918
Griese	0.0650542
Skakel	0.0646528
Chavez	0.0646233
Milutinovic	0.0643565
"John Paul"	0.0642593
Gotti	0.0642486
Velayati	0.0640411
"Boris Yeltsin"	0.0639729
"Gerhard Schroeder"	0.0639251
Yeltsin	0.0635059
Brett	0.0634395
Mugabe	0.063383
Shevardnadze	0.0633077
Chissano	0.0632287
Justin	0.0631789
Chavalit	0.0630819
Lukashenko	0.0629822
Mkapa	0.0628412
"Martin Luther King III"	0.062692
"Andres Pastrana"	0.0626883
Mordechai	0.0626199
Hastert	0.0620494
"Shimon Peres"	0.0618871
Narayanan	0.0617775
"Gerald Ford"	0.0617077
Lebed	0.0616808
"Sergei Kiriyenko"	0.061647
Rugova	0.0616337
Jeb	0.0614638
Schroeder	0.0613559
Paez	0.061227
Zyuganov	0.0611299
"Joseph Estrada"	0.0610701
Schaeuble	0.0609945
"Pandeli Majko"	0.0608829
"Viktor Chernomyrdin"	0.0608711
"Michael Kennedy"	0.0607244
"George W. Bush"	0.0606341
"Lawrence Summers"	0.0604635
Rua	0.0603852
"Hugo Chavez"	0.0603063
Sergeyev	0.0600268
"Krishna Prasad Bhattarai"	0.0599771
Gerald	0.0598138
Akbar	0.0597933
Edward	0.0596018
Josh	0.0595488
Nazarbayev	0.0595
Cem	0.0592591
Quayle	0.059176
Patrick	0.0591017
William	0.0590184
Layden	0.0589301
"John Kennedy"	0.0588656
Kyle	0.0588402
Nyerere	0.0588136
"John Sweeney"	0.0587638
"Juan Antonio Samaranch"	0.0587312
Diouf	0.0587205
Anthony	0.0587026
Mineta	0.0586465
Cuomo	0.0585251
Fraga	0.0585116
Merkel	0.0584907
CEC	0.0584528
Stephen	0.0583662
Cubas	0.0583317
Evan	0.0581061
Soeharto	0.0580978
Trudeau	0.0579713
Lari	0.0579225
Zachary	0.057905
Brister	0.0578029
Aoki	0.057723
Abram	0.0577035
Hasina	0.0576565
Simitis	0.0576523
Livingston	0.0576309
Isaac	0.0575891
Menem	0.0575694
"Megawati Soekarnoputri"	0.0575562
Gadhafi	0.0575365
Dae-jung	0.0574807
))
("Bashar Assad" (desc 4017.62) (sims
Bashar	0.314708
"Kim Jong Il"	0.137838
"Wolfgang Schaeuble"	0.135353
Abdullah	0.118463
"Thabo Mbeki"	0.114446
Assad	0.113178
"Abdulsalami Abubakar"	0.111375
Lahoud	0.109049
Sezer	0.106107
"Abdulsalam Abubakar"	0.105515
"Sonia Gandhi"	0.100441
Dae-jung	0.100281
Iger	0.0999317
Odai	0.0993982
"Abdurrahman Wahid"	0.0992611
"Kim Dae Jung"	0.0988337
"B.J Habibie"	0.098104
al-Assad	0.095358
"Bill Lann Lee"	0.0953116
Bouteflika	0.0949523
Nateq-Nouri	0.0947852
"Olusegun Obasanjo"	0.0946833
"John Quincy Adams"	0.0943108
Putin	0.0928898
"Mohammad Khatami"	0.0915812
"James P. Hoffa"	0.091061
Narayanan	0.0909837
"Pandeli Majko"	0.0905356
"Vladimir Putin"	0.0898006
"Martin Luther King III"	0.0893974
"Hugo Chavez"	0.0883513
"Pervez Musharraf"	0.0873405
Katsav	0.0873065
Habibie	0.0867812
"Kim Jong-pil"	0.0860839
Ekeus	0.0859252
"Robert Guei"	0.0849378
"John Sweeney"	0.0849367
"Hafez Assad"	0.0847013
"Aslan Maskhadov"	0.0846626
Wahid	0.0842108
Wagoner	0.0841578
Chubais	0.0832836
Azizah	0.0831956
Koirala	0.0827605
Stoyanov	0.082722
Abubakar	0.0821583
Cardoso	0.0821351
Shui-bian	0.0807318
Khatami	0.0806449
Hamzah	0.0801917
Stepashin	0.0801641
Koehler	0.0796285
"Wlodzimierz Cimoszewicz"	0.0794757
"Franjo Tudjman"	0.0793093
Pastrana	0.0791206
"John F. Kennedy"	0.079027
"Andres Pastrana"	0.0787454
"King Abdullah"	0.0781052
"Joseph Estrada"	0.0777108
Titov	0.0775973
"Hussein Mohamed Aidid"	0.0775726
Nazarbayev	0.0770091
"Yoshiro Mori"	0.0769829
Obasanjo	0.0769321
Fujimori	0.0766003
"Ernesto Zedillo"	0.0765458
Kumaratunga	0.0761975
Shevardnadze	0.0760852
Mori	0.0760421
Kiriyenko	0.0759593
Supachai	0.0753903
Nujoma	0.0753012
Ranariddh	0.0752495
"John Kim"	0.0744895
Omar	0.0742966
"Xanana Gusmao"	0.0738131
"H.D Deve Gowda"	0.0737783
"Joerg Haider"	0.073548
Chissano	0.0732858
Koch-Weser	0.0732396
"Chief Executive Tung Chee-hwa"	0.0727463
"Lawrence Summers"	0.0727228
"Fernando Henrique Cardoso"	0.0726412
Zeroual	0.0726165
Paez	0.0726163
"Mikulas Dzurinda"	0.072401
Mineta	0.0721151
Hormel	0.0716795
Majko	0.0716586
"Charles Taylor"	0.0716106
"Earnhardt Jr."	0.0716015
"Steve Ballmer"	0.0715876
"William Hague"	0.071452
Primakov	0.0714045
"Gerhard Schroeder"	0.0713562
"Nikola Poplasen"	0.0713153
"Kim Il Sung"	0.0710397
Milutinovic	0.0710103
"Jacques Santer"	0.0706864
Eizenstat	0.0705769
"Juan Antonio Samaranch"	0.0705253
"John Paul"	0.0700754
"George W."	0.070012
"Wim Duisenberg"	0.0698944
"Radovan Karadzic"	0.069746
Rua	0.0696851
Ruehe	0.069652
"Cuauhtemoc Cardenas"	0.0694164
Chavalit	0.0692725
Brister	0.0691353
Samaranch	0.0689575
Moi	0.0687756
"Ibrahim Rugova"	0.0687653
Gotti	0.0686265
Mahuad	0.0682159
Zadornov	0.0681712
Tarawneh	0.0680385
Daft	0.067851
"Laurent Kabila"	0.0676696
"Sergei Kiriyenko"	0.0673919
Mbeki	0.0673818
Akbar	0.067357
Schaeuble	0.0672222
"Jamil Mahuad"	0.0671337
Andres	0.0671258
"Pierre Buyoya"	0.0670072
"Pervaiz Musharraf"	0.0667764
"Richard Holbrooke"	0.066663
Egan	0.066455
Schroeder	0.066421
"Megawati Soekarnoputri"	0.0664185
ROMNEY	0.0663297
"Viktor Chernomyrdin"	0.0662331
"Alexander Lukashenko"	0.0661393
Rawabdeh	0.0659419
"Lech Walesa"	0.0657926
"George Speight"	0.0656806
"Tung Chee-Hwa"	0.0656477
Brundtland	0.065632
Khamenei	0.0654509
Eduardo	0.0653213
"Krishna Prasad Bhattarai"	0.0653094
"Shimon Peres"	0.065237
"Hans Blix"	0.0650337
Hastert	0.0649579
Rakhmonov	0.0649296
"Vojislav Kostunica"	0.0649199
Klestil	0.0646867
Blatter	0.0646056
"Chavalit Yongchaiyudh"	0.0645122
Kwasniewski	0.0644626
Gujral	0.0644409
"Harry S. Truman"	0.064322
"James Hormel"	0.064212
Musharraf	0.0641192
"Mitt Romney"	0.0640871
"Calvin Coolidge"	0.0639926
Rafsanjani	0.0639597
Prodi	0.0635093
"Dos Santos"	0.063436
Kim	0.0632973
Prueher	0.063182
Constantinescu	0.0630807
Hoffa	0.0630652
Shaheen	0.0629397
Hamid	0.0628893
Zedillo	0.0628535
Bedie	0.0628517
Tung	0.0627108
"Fidel Castro"	0.0626008
"Alberto Fujimori"	0.0625989
BURNHAM	0.0625928
Taft	0.0625863
Chiluba	0.0625837
"Momir Bulatovic"	0.0625329
"Chris Simms"	0.0624926
"Hosni Mubarak"	0.0624647
Obuchi	0.0624276
Haider	0.0623932
"Gerald Ford"	0.062362
"Aung San Suu Kyi"	0.0623332
Diouf	0.0621881
"Jeb Bush"	0.061999
Alexei	0.0619209
"Lyndon Johnson"	0.0619203
Farrakhan	0.0618599
Hrawi	0.0617714
Bhattarai	0.061697
Rais	0.0616523
"Alija Izetbegovic"	0.0616426
D'Alema	0.0614985
Vieira	0.0614391
"Michael Kennedy"	0.0613208
"Foday Sankoh"	0.0612485
Aquino	0.0611724
Noboa	0.0611252
Chavez	0.061026
Kasyanov	0.0610109
CEC	0.0609618
))
(bashers (desc 1210.89) (sims
hater	0.0639017
globetrotter	0.0565653
"world traveler"	0.0544188
inbounds	0.0513536
"Log Cabin Republicans"	0.0503836
"letter writer"	0.0493927
baiting	0.0483543
catechism	0.0453418
Kasoulides	0.0444549
"James Hormel"	0.0443176
"San Franciscans"	0.0427093
))
(bashing (desc 1082.89) (sims
trashing	0.0853017
floatation	0.0778738
outperformance	0.0698184
lobbying	0.0680643
fisticuffs	0.063486
wipeout	0.0614778
overvaluation	0.0603408
weighting	0.0592968
courting	0.0592039
"short selling"	0.0560876
broadside	0.0547758
"fire sale"	0.0543419
downgrading	0.0526652
disbanding	0.0523747
battering	0.0514929
Vilification	0.0505668
breaching	0.0496709
flogging	0.0492855
put-down	0.0492759
"nose dive"	0.0480558
"Dom Capers"	0.0474818
mushrooming	0.0469121
"golden rule"	0.0461862
downtrend	0.0461482
Mabry	0.0456358
dustup	0.0449274
flareup	0.0443587
divestment	0.0437505
cross-pollination	0.0435528
"four million tons"	0.0435427
pumping	0.0428898
intercession	0.0424189
"five million tons"	0.0422441
squandering	0.04203
dissection	0.0420026
blocking	0.0418465
argot	0.0417784
legalism	0.0416645
dilution	0.041618
lashing	0.0415549
Triptych	0.0415365
"initial offering"	0.0414766
"more than @@,@@@ acres"	0.0412974
toppling	0.0411275
reevaluation	0.0405291
"one share"	0.0405174
"representative sample"	0.0405029
ruse	0.0402125
))
(Bashir (desc 3116.8) (sims
al-Bashir	0.300842
"Abidine Ben Ali"	0.240415
el-Bashir	0.235577
Ganzouri	0.201961
Stoyanov	0.181432
Gaddafi	0.162608
Kabariti	0.158703
Luong	0.157963
"de Charette"	0.157707
Baz	0.156959
Scalfaro	0.154335
Mahdi	0.153771
Clerides	0.151219
Muluzi	0.149327
Saleh	0.14818
Shevardnadze	0.145673
Meguid	0.144437
Mkapa	0.143021
Shara	0.141974
Azad	0.13939
Majali	0.139119
Hariri	0.137195
Pangalos	0.136968
"Jerzy Buzek"	0.136101
Ikeda	0.136028
Chavalit	0.135878
Moi	0.135629
Akayev	0.132468
Kwasniewski	0.132124
Nazarbayev	0.130783
Kuchma	0.129923
Chirac	0.129808
Velayati	0.129524
Bedie	0.129256
Cem	0.129198
"Jordanian King Abdullah Bin Hussein"	0.12895
Banharn	0.128852
Granic	0.127257
Moratinos	0.127053
Nujoma	0.125791
Mbeki	0.125506
Niyazov	0.1255
Kharrazi	0.12524
Zeroual	0.125181
"Ernesto Zedillo"	0.125138
Sharaa	0.125101
Constantinescu	0.124324
Vollebaek	0.123863
Chissano	0.123808
Deuba	0.123048
Buyoya	0.122911
"Meles Zenawi"	0.122847
Hassan	0.122028
"Than Shwe"	0.120081
Phieu	0.119982
"Secretary General Esmat Abdul-Meguid"	0.119859
Chiluba	0.119759
Moussa	0.119137
Nahyan	0.118052
Abdel-Meguid	0.116708
Khaddam	0.116618
Sampaio	0.116449
Museveni	0.11634
Narayanan	0.116301
"Deve Gowda"	0.115561
"Prime Minister Banharn Silpa-Archa"	0.115424
Karimov	0.115308
Menem	0.115192
Klestil	0.114895
Frei	0.114813
Brahimi	0.114796
Leghari	0.114758
Jayakumar	0.114741
"Secretary General Esmat Abdel-Meguid"	0.114552
Rifkind	0.114494
al-Sahaf	0.114484
Lukashenko	0.113599
"Ivan Kostov"	0.113292
Bizimungu	0.112648
Kasoulides	0.112639
Mubarak	0.111982
"Pope John Paul"	0.111879
"Fernando Henrique Cardoso"	0.111796
Komura	0.111369
"Radu Vasile"	0.111208
Kostov	0.111024
Bouteflika	0.110848
Patasse	0.110816
Rafsanjani	0.110541
"Atef Obeid"	0.109744
"Dos Santos"	0.109678
"Sam Nujoma"	0.109616
Kagame	0.108341
Diouf	0.10833
Rakhmonov	0.108308
Musharraf	0.108298
Lipponen	0.108191
al-Sahhaf	0.108077
"Vo Van Kiet"	0.107498
Hrawi	0.107036
Santer	0.106958
Vajpayee	0.106447
"John Bruton"	0.106385
Guterres	0.105649
Demirel	0.105473
"Mesut Yilmaz"	0.104689
"Martti Ahtisaari"	0.104614
"Chuan Leekpai"	0.10427
Ahtisaari	0.104195
Kumaratunga	0.104077
Advani	0.103666
"Valery Pustovoitenko"	0.10362
Shareh	0.103226
"Prime Minister Kamal El-Ganzouri"	0.103018
"Ketumile Masire"	0.102955
"Costas Simitis"	0.102724
Kok	0.102121
Plavsic	0.101927
Nzo	0.101544
Meles	0.101427
Simitis	0.101215
"Yoweri Museveni"	0.101102
Mandela	0.101089
Pickering	0.100964
al-Nahyan	0.100357
"Carlos Menem"	0.10029
"Wlodzimierz Cimoszewicz"	0.100241
"Benazir Bhutto"	0.099988
"Atal Behari Vajpayee"	0.0999028
Masire	0.0998971
Bondevik	0.0997078
Denktash	0.0996919
"Chavalit Yongchaiyudh"	0.099344
Brundtland	0.0991937
"Binyamin Netanyahu"	0.099136
Sharif	0.0990374
"Pascoal Mocumbi"	0.0985686
"Ismail Cem"	0.0982773
"Romano Prodi"	0.0982561
Aziz	0.0973388
"Secretary-General Boutros Boutros-Ghali"	0.0967257
Kyprianou	0.0966527
"Atal Bihari Vajpayee"	0.0966468
Qiao	0.0966417
Xanana	0.0964482
Dae-jung	0.0962798
Klima	0.0961927
"Antonio Guterres"	0.0961385
Khai	0.0958516
Mercado	0.0958466
Dini	0.0958463
Portillo	0.0955397
"Benjamin Mkapa"	0.0954591
"Yoshiro Mori"	0.0951846
"I.K Gujral"	0.0951735
Pustovoitenko	0.0950657
Ciampi	0.0948959
Dehaene	0.0948632
"Chief Executive Tung Chee-hwa"	0.0948075
Husseini	0.0943574
Tella	0.0939138
Chuan	0.0939124
"Hosni Mubarak"	0.0938577
Koirala	0.0932602
Juncker	0.0932155
Schuessel	0.0930838
Rua	0.0930014
Rabbani	0.09294
"Paavo Lipponen"	0.0927915
Jospin	0.0927787
el-Ganzouri	0.0924529
Gujral	0.0923037
"Boutros Boutros Ghali"	0.0922528
"Pasteur Bizimungu"	0.0920419
"Jacques Chirac"	0.0918155
"Vaclav Klaus"	0.0915546
Hasina	0.0914811
"Ryutaro Hashimoto"	0.0914554
Wahid	0.0910987
Mugabe	0.0910322
Hashimoto	0.0909327
"Alberto Fujimori"	0.090828
"Bashkim Fino"	0.0906098
"Pandeli Majko"	0.0905978
Samper	0.0904978
"King Abdullah II"	0.0903886
"Salim Hoss"	0.090275
Berri	0.0899519
"Wim Kok"	0.0898398
Ikimi	0.0898391
"Wang Daohan"	0.0897381
"Jean Chretien"	0.0894706
Kabbah	0.0890793
Ghali	0.0889215
"Sheikh Hasina"	0.0888162
Aleman	0.0888153
"President Hafez Al-Assad"	0.0887632
"John Major"	0.0885507
Abubakar	0.0882827
Assad	0.0882331
))
("Bashkim Fino" (desc 1382.12) (sims
"Pandeli Majko"	0.393528
"Fatos Nano"	0.327287
"Frederick Sumaye"	0.29826
"Valery Pustovoitenko"	0.273237
"Wlodzimierz Cimoszewicz"	0.266253
"Goran Persson"	0.259177
"Pascoal Mocumbi"	0.253428
"Mikulas Dzurinda"	0.250321
"Antonio Guterres"	0.250213
"Ivan Kostov"	0.249971
"Krishna Prasad Bhattarai"	0.244681
"Paavo Lipponen"	0.230481
"Lamberto Dini"	0.23048
"Jerzy Buzek"	0.227884
"John Bruton"	0.226437
"Prime Minister Kamal El-Ganzouri"	0.216844
"Chavalit Yongchaiyudh"	0.216553
"Girija Prasad Koirala"	0.216376
"Fayez Tarawneh"	0.213839
"Atal Behari Vajpayee"	0.2116
"Vo Van Kiet"	0.211092
"Bertie Ahern"	0.207716
"Chuan Leekpai"	0.206898
"Necmettin Erbakan"	0.205026
"Radu Vasile"	0.204311
"Jenny Shipley"	0.203472
"H.D Deve Gowda"	0.202357
"Costas Simitis"	0.201706
"Salim Hoss"	0.200251
"Abdul Salam Majali"	0.199767
"Milos Zeman"	0.196288
"Deve Gowda"	0.195416
"John Prescott"	0.193871
"Lionel Jospin"	0.192242
"Jose Maria Aznar"	0.190682
"Atef Obeid"	0.189288
"Sergei Stepashin"	0.188556
"Mikhail Kasyanov"	0.188382
"Inder Kumar Gujral"	0.186737
"Lokendra Bahadur Chand"	0.186593
"Wim Kok"	0.184705
"Goh Chok Tong"	0.182636
"Atal Bihari Vajpayee"	0.180932
Dehaene	0.179855
"Yitzhak Mordechai"	0.179591
"Meles Zenawi"	0.179408
"Viktor Orban"	0.17936
"Igor Ivanov"	0.179232
"Vaclav Klaus"	0.179097
"Laurent Fabius"	0.178545
"Phan Van Khai"	0.178438
"Igor Sergeyev"	0.17827
"Yoshiro Mori"	0.177771
"Romano Prodi"	0.17685
"Gro Harlem Brundtland"	0.173647
Bhattarai	0.172178
"Kiichi Miyazawa"	0.170978
Ganzouri	0.169917
"Yossi Sarid"	0.169786
"Boris Nemtsov"	0.169664
el-Ganzouri	0.168121
"Victor Chernomyrdin"	0.167742
Lipponen	0.167576
"Sher Bahadur Deuba"	0.167485
"Rafik Hariri"	0.16708
"Mesut Yilmaz"	0.165858
"Ung Huot"	0.165771
"Mahmoud Zouebi"	0.164115
"Khaleda Zia"	0.1616
"Sergei Kiriyenko"	0.161578
"Bill Skate"	0.161209
"George Robertson"	0.160323
"Gulbuddin Hekmatyar"	0.159939
"Yuri Maslyukov"	0.159695
"Bulent Ecevit"	0.159315
"Jordanian King Abdullah Bin Hussein"	0.158065
Chavalit	0.157265
"Benazir Bhutto"	0.157146
Majali	0.15597
"I.K Gujral"	0.1559
"Tariq Aziz"	0.154406
"Lee Kuan Yew"	0.153439
Siazon	0.153073
"Abdul Karim Kabariti"	0.152481
"Helen Clark"	0.151667
"Lee Hsien Loong"	0.151534
Buthelezi	0.151297
"Jean Chretien"	0.150681
"Faisal Husseini"	0.150558
"Binyamin Netanyahu"	0.149769
"Sheikh Hasina"	0.149599
Fino	0.148882
"Than Shwe"	0.147962
Deuba	0.147951
"Pakalitha Mosisili"	0.147668
Meles	0.146951
"Ariel Sharon"	0.146697
Alatas	0.146662
"Vladimir Putin"	0.146415
"Momir Bulatovic"	0.145868
"Alain Juppe"	0.145295
"John Major"	0.144936
"Massimo D'Alema"	0.144231
"Keizo Obuchi"	0.143867
Koirala	0.143651
"Natan Sharansky"	0.143576
"Milorad Dodik"	0.143371
"Tim Fischer"	0.143228
Chuan	0.142629
"Yevgeny Primakov"	0.142189
"Ricardo Alarcon"	0.142059
"Shimon Peres"	0.141219
Chand	0.140944
"Javier Solana"	0.140368
Kharrazi	0.140271
"John Howard"	0.140114
"Zhu Rongji"	0.139879
Al-Sabah	0.139213
"Tomiichi Murayama"	0.138831
"Felipe Gonzalez"	0.138802
"Paul Keating"	0.138143
"Chief Executive Tung Chee-hwa"	0.137415
al-Hariri	0.137303
"Fernando Henrique Cardoso"	0.137083
Banharn	0.136604
"Secretary General Esmat Abdul-Meguid"	0.136477
"Alexander Shokhin"	0.136352
"Kim Yong Nam"	0.136215
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.135725
"Ismail Cem"	0.135352
"Vojislav Seselj"	0.133891
"Minister Shlomo Ben-Ami"	0.133263
"Ryutaro Hashimoto"	0.133022
Nzo	0.132819
Gurirab	0.132452
"Viktor Chernomyrdin"	0.131824
Denktash	0.131653
"President Kim Young-sam"	0.131289
"Secretary General Esmat Abdel-Meguid"	0.130414
Hasina	0.130382
al-Sahhaf	0.130204
"Defense William Cohen"	0.130135
"William Hague"	0.129753
Shaath	0.12962
"Tansu Ciller"	0.129264
"Aslan Maskhadov"	0.12907
Simitis	0.128892
"Ricardo Lagos"	0.127244
al-Khatib	0.127062
"Tang Jiaxuan"	0.127002
Vajpayee	0.126656
"William Perry"	0.126458
Gujral	0.126292
Chretien	0.12629
Nazarbayev	0.126268
Bildt	0.126201
Ecevit	0.126108
"Supachai Panitchpakdi"	0.125777
"Ibrahim Rugova"	0.125153
Klima	0.125027
Nujoma	0.124727
"Secretary General Boutros Boutros-Ghali"	0.124399
"David Levy"	0.124113
al-Sahaf	0.123619
Hariri	0.123531
Mkapa	0.122562
Jospin	0.122457
"Mike Moore"	0.122424
"Boutros Boutros Ghali"	0.122086
Shevardnadze	0.12197
"Hashim Thaci"	0.121738
"Mahathir Mohamad"	0.121651
"Carl Bildt"	0.121411
"Nawaz Sharif"	0.121316
Kwasniewski	0.120783
Pustovoitenko	0.120724
Jayakumar	0.120335
Hoss	0.120155
"Carlos Menem"	0.120131
Al-Thani	0.120066
al-Shara	0.119673
"Prime Minister Banharn Silpa-Archa"	0.119211
Abdel-Meguid	0.118825
"Ernesto Zedillo"	0.118385
"Moammar Gadhafi"	0.118254
"Tony Blair"	0.118172
"Shi Guangsheng"	0.117859
Goh	0.117447
"Vuk Draskovic"	0.117347
"Kamal Kharrazi"	0.117237
Izetbegovic	0.117106
Orban	0.117032
"Yasser Arafat"	0.116979
"King Abdullah II"	0.11697
Wiranto	0.116558
"Pervez Musharraf"	0.116316
"Seamus Mallon"	0.115776
Tella	0.115521
"Menachem Begin"	0.115089
Meguid	0.114968
Bizimungu	0.114929
"Yossi Beilin"	0.114153
"Abu Mazen"	0.114128
"Queen Beatrix"	0.11348
"Hosni Mubarak"	0.112867
"Gerry Adams"	0.112849
Scalfaro	0.112765
"Mahendra Chaudhry"	0.11258
Dini	0.111949
"William Cohen"	0.111947
"Martin McGuinness"	0.111889
"Qian Qichen"	0.110794
"Nabil Shaath"	0.110705
"Jordanian King Hussein"	0.11065
Muoi	0.110573
"Bernard Kouchner"	0.110257
"David Trimble"	0.110128
Chissano	0.10988
"Begum Khaleda Zia"	0.109778
Ruehe	0.109481
"Salim Ahmed Salim"	0.109446
Barshefsky	0.109371
"Amr Moussa"	0.109353
al-Khalifa	0.109116
Moi	0.108996
Erbakan	0.108959
Luong	0.10873
el-Bashir	0.108252
Sergeyev	0.108166
Ahern	0.108165
"Edmund Ho Hau Wah"	0.108071
"Yasser Abed Rabbo"	0.107751
"Michael Heseltine"	0.107626
"Ehud Barak"	0.107488
"Hun Sen"	0.107486
"President Hafez Al-Assad"	0.107398
"Sepp Blatter"	0.107392
Brundtland	0.10726
"Speaker Ali Akbar Nateq-Nouri"	0.107235
Rifkind	0.106775
Sumaye	0.106591
Demaci	0.106544
Shipley	0.106049
"Martti Ahtisaari"	0.10569
Kabariti	0.105566
"Cesar Gaviria"	0.105375
vice-president	0.105325
"Noboru Takeshita"	0.104878
"Orlando Mercado"	0.104865
"President Kim Dae-jung"	0.104201
Hashimoto	0.103879
"Norodom Ranariddh"	0.103847
Misuari	0.103636
Thapa	0.103503
"Hanan Ashrawi"	0.103234
Severino	0.103219
D'Alema	0.103211
Al-Faisal	0.103109
Azizah	0.102942
Stoyanov	0.102801
Peres	0.102793
Kamal	0.102747
Sharif	0.102428
Rodionov	0.102227
"Peter Mandelson"	0.102015
al-Bashir	0.101845
"Secretary-General Boutros Boutros-Ghali"	0.101802
Bouteflika	0.101759
"Rajiv Gandhi"	0.101723
Yandarbiyev	0.101704
Axworthy	0.101585
"Benjamin Netanyahu"	0.101495
"Esmat Abdel Meguid"	0.101492
"Winnie Madikizela-Mandela"	0.101488
"Huang Ju"	0.101481
"Hubert Vedrine"	0.101395
"Abdullah Ahmad Badawi"	0.10129
Koo	0.10107
Prodi	0.100797
Aznar	0.100794
Garang	0.100718
Karimov	0.100705
"Saudi King Fahd"	0.100565
Frei	0.100538
"Anwar Ibrahim"	0.100435
"Palestinian Council"	0.100353
"governor general"	0.100257
))
(basic (desc 27066.8) (sims
fundamental	0.109045
basics	0.0945033
essential	0.0763019
aspect	0.0717904
"basic principle"	0.070911
principle	0.0661104
education	0.0656257
"health care"	0.065244
skill	0.0644931
concept	0.0631525
necessity	0.0630588
intricacy	0.0628632
science	0.0627152
technique	0.0623669
ethic	0.0601666
quality	0.0600833
infrastructure	0.0589429
philosophy	0.0584959
task	0.058278
importance	0.0577515
essence	0.0570247
tool	0.0570105
knowledge	0.0569847
"information technology"	0.0567622
nuance	0.0561779
"high technology"	0.0555306
facet	0.0554711
art	0.0551911
ingredient	0.0551781
protection	0.054933
specific	0.0548345
priority	0.0543776
health	0.0543762
economics	0.0543715
theme	0.0540322
things	0.0539044
method	0.053789
item	0.0536774
maintenance	0.0535822
math	0.0534237
lesson	0.0533387
management	0.0533154
fun	0.0532128
theory	0.0527753
language	0.0522835
"game plan"	0.0515644
prevention	0.0512141
strategy	0.0509927
element	0.0509059
reality	0.0508641
"social service"	0.0507221
Promotion	0.0505464
improvement	0.0505322
training	0.0502737
marketing	0.0502715
nutrition	0.0498532
Housing	0.0496905
innovation	0.0496348
software	0.0495928
procedure	0.049288
logic	0.0492864
"fundamental principle"	0.049107
awareness	0.0490621
evolution	0.0489866
discipline	0.0489383
"medical care"	0.048885
objective	0.0488406
security	0.0486851
literacy	0.0486609
agriculture	0.0483754
definition	0.0481894
meaning	0.0481056
diversity	0.0480801
dynamic	0.0479931
"child care"	0.0478674
component	0.0478108
requirement	0.0477015
enforcement	0.0476504
notion	0.0476438
medicine	0.047627
function	0.0474946
"prescription drug"	0.0473191
guideline	0.0473059
energy	0.0472748
enhancement	0.0472168
understanding	0.0472146
teaching	0.0471555
premise	0.0470771
coverage	0.0470601
moral	0.0468256
high-tech	0.0468079
governance	0.0467546
mechanic	0.0465651
safety	0.0463846
variety	0.0463175
curriculum	0.0462427
subtlety	0.0461086
communication	0.0460677
goods	0.046053
tenet	0.0459622
parameter	0.0456886
gadget	0.0456721
insurance	0.0456505
"bottom line"	0.0456198
routine	0.045615
conservation	0.045532
transportation	0.0454701
amenity	0.0454542
convenience	0.0452265
undertaking	0.0451494
topic	0.044959
truth	0.0448423
meal	0.0447967
"human right"	0.0447899
engineering	0.0447619
purpose	0.0446046
"health service"	0.0445398
resource	0.0445356
minimum	0.0443811
homework	0.0443413
ideal	0.0443254
habit	0.0442858
"family planning"	0.0442767
Formula	0.0440117
telecommunication	0.0439687
provision	0.0439491
"building block"	0.0439211
tradition	0.0437805
farming	0.0437062
"health insurance"	0.0436598
alleviation	0.0436252
"big picture"	0.0435863
planning	0.0435543
core	0.0434959
financing	0.0433867
pharmaceutical	0.0433855
commodity	0.0433024
perk	0.0432986
relief	0.0430919
"higher education"	0.0430848
learning	0.0429493
description	0.0428378
manufacturing	0.0427627
content	0.0425807
solution	0.0425778
simplicity	0.0425492
instruction	0.0425216
complexity	0.04243
bedrock	0.0423467
"vocational training"	0.0423188
motivation	0.0422563
"subject matter"	0.042248
pleasure	0.0422093
advocacy	0.0422012
Etiquette	0.0421969
continuity	0.0421507
hardware	0.0421059
"real estate"	0.0420044
evaluation	0.0419522
expertise	0.0419277
capability	0.0419023
criteria	0.0418585
device	0.0416945
chore	0.0416319
Entertainment	0.0415631
"tax cut"	0.0414835
rationale	0.0413283
framework	0.041239
explanation	0.041201
Clothing	0.0411544
doctrine	0.0411396
analysis	0.0410692
"social security"	0.0410612
coaching	0.041061
fare	0.0410566
characteristic	0.0409997
medical	0.0409813
advantage	0.0409566
PC	0.0408094
recipe	0.0407932
alternative	0.0407796
schooling	0.0407182
checklist	0.040683
efficiency	0.0406629
therapy	0.0405883
mathematics	0.040545
funding	0.0404469
virtue	0.0404351
workings	0.0404152
proposition	0.0402261
biology	0.0401951
cornerstone	0.0401664
norm	0.0401592
scope	0.0400722
foundation	0.0400467
expense	0.0400207
))
("Basic Books" (desc 1301.54) (sims
"Broadway Books"	0.250875
"Farrar, Straus &AMP; Giroux"	0.196039
"William Morrow"	0.185872
"Free Press"	0.184794
"Oxford University Press"	0.176562
"Houghton Mifflin"	0.154014
"Warner Books"	0.152996
"Henry Holt"	0.145867
Scribner	0.144374
"Simon &AMP; Schuster"	0.142008
Doubleday	0.141117
Knopf	0.132474
"Chronicle Books"	0.127303
Dutton	0.124426
HarperCollins	0.120782
Hyperion	0.109487
"Pocket Books"	0.109423
Ballantine	0.107956
"Random House"	0.0924558
Morrow	0.0914053
Abrams	0.0832173
"St. Martin"	0.0832138
"Koha Ditore"	0.0819344
scholastic	0.0776823
MacMillan	0.0735784
"Gannett Co."	0.0729157
Norton	0.0719787
Putnam	0.0694003
Bantam	0.0686261
Odai	0.0682503
"W.W Norton"	0.0658708
"Electronic Arts"	0.0657081
"Modern Library"	0.0645164
"Central Bureau of Statistics"	0.0603092
Schuster	0.0578482
"Beauty Queen"	0.0552782
"Hong Kong Monetary Authority"	0.0552388
Berkley	0.0531159
"Dow Jones &AMP; Co."	0.0526407
"Tribune Co."	0.051855
"Satanic Verses"	0.0513961
"school girl"	0.0506529
"Helms-Burton Act"	0.0502797
"Families USA"	0.050188
"Wen Wei Po"	0.0497491
"Census and Statistics Department"	0.0494655
McGraw-Hill	0.0488674
"New York Times Co."	0.0485414
"adventure story"	0.0463263
Riverhead	0.0462474
"National Geographic Society"	0.0462449
"Moby Dick"	0.0461579
"Larry Flynt"	0.045221
"Oslo Accords"	0.0451003
SkyTel	0.0445966
"Cato Institute"	0.0440097
Italia	0.0438435
Nanking	0.0434226
al-Hayat	0.0427559
"Hearst Corp."	0.0413946
Delacorte	0.0403169
"December @-@"	0.0402976
Prima	0.0401114
))
("basic concept" (desc 1246.02) (sims
"golden rule"	0.0890217
intricacy	0.0846821
nettle	0.0813245
immensity	0.0788438
enormity	0.0718722
reorientation	0.0692185
underpinnings	0.0670763
"modus operandi"	0.0670548
gist	0.0661529
singularity	0.0659482
"theory of evolution"	0.0651675
"line of products"	0.0632356
"circadian rhythm"	0.06244
dyslexia	0.062012
dynamics	0.0612477
calculus	0.0605576
"morse code"	0.0597337
"crisis situation"	0.059567
"economic theory"	0.0591018
intangible	0.0574483
exigency	0.0568387
universality	0.0562533
"strong force"	0.0560733
outperformance	0.0556926
perestroika	0.055605
basics	0.0555841
paucity	0.0554758
"grocery bag"	0.0553787
politicization	0.0553354
double-entendres	0.0546456
"scientific theory"	0.0544364
"theory of relativity"	0.0543146
algebra	0.0540991
rightness	0.0512482
permanence	0.0511097
"Enron Corp."	0.0510657
"Word of God"	0.0505891
"European Convention"	0.0500652
THA	0.0499176
"molecular biology"	0.0498104
folkways	0.0497431
"detective work"	0.0493144
specialities	0.0491954
oddsmakers	0.0491212
"Mao Zedong Thought"	0.0490157
"basic principle"	0.0486976
"point system"	0.0485881
automaton	0.0482213
subterfuge	0.0478804
"pecking order"	0.0478604
hypotheses	0.0478439
"computer language"	0.0478345
comforts	0.0476542
decentralization	0.0476333
nub	0.0474598
infallibility	0.0474229
gibberish	0.0474189
maturation	0.0471705
interoperability	0.0470444
ABM	0.0466337
"Operation Desert Storm"	0.046586
newness	0.0465032
analyses	0.0460482
"general knowledge"	0.0459975
uniqueness	0.0459565
MCAS	0.0457746
Merton	0.0456205
computerization	0.0452376
nitty-gritty	0.0449973
warhorse	0.0447547
"educational activity"	0.0446725
smallness	0.0446045
unfairness	0.0444021
vicissitude	0.044367
mechanization	0.0439812
worldview	0.043856
toppling	0.0437866
fragility	0.0436756
frailty	0.0435643
metaphysics	0.0434829
"commercial law"	0.0434778
near-monopoly	0.0433817
"Internet Service Providers"	0.0433516
"natural process"	0.0433052
"legal principle"	0.0430888
labeling	0.0430207
impossibility	0.0429881
trampling	0.0428825
"mechanical device"	0.0427393
sterility	0.0426031
virulence	0.0425977
nicety	0.0422145
planeloads	0.0421574
centrality	0.0421014
"hard drug"	0.0420248
liberalisation	0.0419568
cyclicals	0.0419231
Balkanization	0.041905
"hockey stick"	0.041833
shrewdness	0.0417602
popularization	0.0416524
"tax treatment"	0.0416307
idiosyncrasy	0.0416123
"Scotty Bowman"	0.0413024
megabyte	0.0412863
bigness	0.0412151
"charter member"	0.0410885
targeting	0.0410345
"Playstation II"	0.0409789
vagary	0.0409321
furtherance	0.0409072
unraveling	0.0406805
elusiveness	0.0404405
gigabyte	0.0404218
globalisation	0.0403759
Vibe	0.0402686
"data entry"	0.040094
soundness	0.0400931
"software product"	0.0400376
striptease	0.0400032
))
("Basic Law" (desc 24564.6) (sims
"Sino-British Joint Declaration"	0.246732
"Macao Basic Law"	0.202478
constitution	0.195575
"U.N. Charter"	0.175505
"Article @@"	0.173081
"criminal law"	0.151803
"United Nations Charter"	0.145528
"U.S. Constitution"	0.145224
"Joint Declaration"	0.143616
"international law"	0.143168
"Criminal Procedure Law"	0.140324
"Sino-Portuguese Joint Declaration"	0.135705
law	0.133107
"Preparatory Committee"	0.129043
charter	0.124226
"U.N. Resolution @@@"	0.122768
"UN Charter"	0.115624
stipulation	0.115466
Ordinance	0.113903
"Article @@@"	0.113453
"Geneva convention"	0.111659
principle	0.109706
covenant	0.108399
regulation	0.108029
"Universal Declaration"	0.105033
statute	0.10478
Treaty	0.103334
"Nationality Law"	0.103298
resolution	0.10024
"Lusaka Peace Accord"	0.0997145
"penal code"	0.099222
"Article @"	0.0991002
decree	0.0978981
"Sino-Japanese Joint Statement"	0.0973383
guideline	0.0954394
protocol	0.0942685
"Clean Air Act"	0.0934982
"Maastricht Treaty"	0.0932099
"basic principle"	0.0931015
"rule of law"	0.0921738
"Hong Kong SAR"	0.0920449
"Macao SAR"	0.0908985
bylaw	0.088834
HKSAR	0.088495
"Oslo Accord"	0.0879408
communique	0.0879317
memorandum	0.0872827
"U.N. Security Council Resolution @@@"	0.0872547
accord	0.086841
"legal system"	0.0859036
agreement	0.0856852
provision	0.0837121
"Vienna Convention"	0.08127
code	0.0811997
"legislative council"	0.0810101
"First Amendment"	0.0805187
"U.N. Convention"	0.0803975
directive	0.0795074
"organic law"	0.0781001
"Resolution @@@"	0.0778594
"Court of Final Appeal"	0.0777471
Declaration	0.0770311
legislation	0.0764903
"Oslo Accords"	0.075296
norm	0.073688
document	0.0729266
motherland	0.0716875
"Title IX"	0.0715537
"code of conduct"	0.0709903
"Selection Committee"	0.07046
"Helms-Burton Act"	0.0689945
"Provisional Legislative Council"	0.0688951
doctrine	0.0683901
"Resolution @@@@"	0.0682644
"Lusaka Protocol"	0.0680776
"Telecommunications Act"	0.0675669
"development plan"	0.067327
amendment	0.0671924
convention	0.0661435
Sino	0.0661047
"Central Government"	0.0656233
"maritime law"	0.0655448
"ABM Treaty"	0.0654957
pact	0.0654721
framework	0.065117
Ada	0.0649811
clause	0.0643629
"Bill of Rights"	0.0643575
concept	0.0636924
"International Covenant"	0.0636343
"European Convention"	0.0626096
"Voting Rights Act"	0.0612412
"bankruptcy law"	0.061106
"Deng Xiaoping Theory"	0.0608708
"Macao Special Administrative Region"	0.0599455
"development strategy"	0.0598016
reunification	0.0595313
"trade agreement"	0.05942
"Special Administrative Region"	0.0591477
"Disabilities Act"	0.0586053
Marxism	0.0585402
"Civil Rights Act"	0.0578384
"antitrust law"	0.057542
"Ninth Five-Year Plan"	0.0571722
"fundamental principle"	0.0569536
"Endangered Species Act"	0.0569133
"HK SAR"	0.0568602
theory	0.0566573
"Clean Water Act"	0.0564988
ethic	0.0563101
obligation	0.0560774
criteria	0.0558048
procedure	0.0557848
proclamation	0.0553975
MSAR	0.0548197
"North American Free Trade Agreement"	0.0548003
requirement	0.0547487
"Community Reinvestment Act"	0.0546512
"Hong Kong Special Administrative Region"	0.0544325
"People's Republic of China"	0.0539962
Macao	0.0531934
NPC	0.0526147
philosophy	0.0525728
"foreign policy"	0.0524939
PRC	0.0524352
understanding	0.0519143
"economic system"	0.05166
"Anti-Ballistic Missile Treaty"	0.0516276
Circular	0.0515326
"Beijing Declaration"	0.051442
"Lome Convention"	0.0511771
"United Nations Convention"	0.0509245
"plan of action"	0.050716
"peace treaty"	0.0506317
autonomy	0.0505394
"Montreal Protocol"	0.0504279
"Section @"	0.0503591
WTO	0.0502814
recommendation	0.0500018
"Party Central Committee"	0.0498722
"Fourth Amendment"	0.0498193
mandate	0.049463
Helms-Burton	0.0493158
Sharia	0.0490893
"white paper"	0.0487809
"Tung Chee Hwa"	0.0486197
adjudication	0.048526
Formula	0.0478092
precedent	0.0470156
method	0.046935
Marxism-Leninism	0.0465831
teaching	0.0463759
Systems	0.0463468
namelist	0.046253
handover	0.0462395
mechanism	0.0460558
Judiciary	0.0460045
CWC	0.0451221
Implementation	0.0450727
democracy	0.0447917
"human right"	0.0447285
"Second Amendment"	0.0446452
objective	0.0444893
"Section @@@"	0.0443829
"Fifth Amendment"	0.0439233
"Declaration of Independence"	0.0439151
"economic policy"	0.0438261
"Kyoto Protocol"	0.0437993
accordance	0.0437274
"religious belief"	0.0435364
legislature	0.0434914
Wye	0.0434836
socialism	0.0434204
cease-fire	0.0432961
governance	0.0432947
"executive council"	0.0430421
"safety standard"	0.0426637
"Chinese government"	0.0423845
promulgation	0.042266
ideology	0.0422334
CTBT	0.0421041
"master plan"	0.0420533
NAFTA	0.0419986
"national flag"	0.0418492
blueprint	0.0416375
"counsel law"	0.0415459
aspiration	0.0414512
NPT	0.0413996
tenet	0.0413418
ideal	0.0412643
stance	0.0412562
"legal document"	0.0409304
"Action Plan"	0.0408707
"land reform"	0.0406943
"Joint Statement"	0.0405776
sovereignty	0.0405542
"Deng Xiaoping"	0.0404113
Sino-U.S.	0.0403382
"U.N. Security Council"	0.0401937
"Proposition @@"	0.0401222
))
("basic principle" (desc 13818.2) (sims
"fundamental principle"	0.231263
principle	0.218761
guideline	0.145827
norm	0.142586
tenet	0.131422
objective	0.116663
"Geneva convention"	0.114956
framework	0.108371
"ground rule"	0.107792
"code of conduct"	0.107151
stipulation	0.105731
"Vienna Convention"	0.103855
criteria	0.103735
"international law"	0.103355
parameter	0.101577
doctrine	0.0987489
concept	0.0971373
"U.N. Charter"	0.095813
timetable	0.0944833
ideal	0.0931097
"Basic Law"	0.0931015
"Sino-British Joint Declaration"	0.0928933
"United Nations Charter"	0.0909408
theory	0.0901344
provision	0.0897364
fundamental	0.0895008
obligation	0.0886316
requirement	0.0880912
"Deng Xiaoping Theory"	0.087185
"Article @"	0.085437
"U.N. Resolution @@@"	0.0845853
standard	0.0843506
constitution	0.0840878
philosophy	0.0833194
"rule of law"	0.0830374
ideology	0.0830199
precondition	0.0826274
procedure	0.0825625
precept	0.0824866
regulation	0.0815806
Marxism	0.0814163
"Macao Basic Law"	0.0811149
Formula	0.0802992
spirit	0.0794861
essence	0.0792035
"foreign policy"	0.0791241
"Resolution @@@@"	0.0789289
charter	0.0784459
resolution	0.0783872
protocol	0.0782372
task	0.0779158
"plan of action"	0.0777998
blueprint	0.0776384
aspect	0.0766011
aspiration	0.0762743
"development plan"	0.0759254
"economic policy"	0.0758901
stance	0.0757337
"Universal Declaration"	0.0754927
cornerstone	0.0751871
commitment	0.0744594
strategy	0.0735357
basis	0.0731449
ethic	0.0731302
Treaty	0.0726668
mechanism	0.072567
code	0.0717077
"development strategy"	0.0716106
directive	0.0711491
basic	0.070911
definition	0.0708108
legitimacy	0.0697965
viewpoint	0.0682193
importance	0.0678622
"U.N. Security Council Resolution @@@"	0.0678383
sovereignty	0.0676378
modality	0.067623
communique	0.067598
foundations	0.0672802
"Article @@"	0.067068
precedent	0.0668956
agenda	0.0667919
Implementation	0.0666489
method	0.0664152
discipline	0.0661807
"Peaceful Coexistence"	0.0656808
understanding	0.0656307
conception	0.0656078
cease-fire	0.0655554
purpose	0.0652405
gist	0.0648039
"master plan"	0.0637413
"human right"	0.0637183
prerequisite	0.0635749
priority	0.0634767
"Resolution @@@"	0.0633874
pact	0.063273
Declaration	0.0632528
"legal system"	0.0628234
"Anti-Ballistic Missile Treaty"	0.0623599
SEZs	0.0623333
clause	0.062213
"UN Charter"	0.0617138
"scientific theory"	0.061482
"trade policy"	0.0609858
foundation	0.0606675
presumption	0.0603381
integrity	0.0599951
"Sino-Portuguese Joint Declaration"	0.0598557
"Joint Declaration"	0.0598214
equality	0.0597767
mandate	0.0596402
element	0.0595892
socialism	0.0594205
vision	0.0593508
recommendation	0.0589967
"legal principle"	0.0588025
safeguarding	0.0587402
essential	0.0587002
"economic system"	0.0586692
covenant	0.0583113
reunification	0.0580751
orientation	0.0580246
"Mao Zedong Thought"	0.0579791
necessity	0.0578187
tradition	0.0577791
commandment	0.0577587
quota	0.0577522
"safety standard"	0.0575836
bedrock	0.0575176
interpretation	0.0574981
keenness	0.0574945
wording	0.0573811
"Special Economic Zones"	0.0572571
characteristic	0.0572433
"defense policy"	0.0569304
arrangement	0.0568382
direction	0.0564253
theme	0.0563929
rationale	0.0563015
imperatives	0.0560708
opening-up	0.055938
"Article @@@"	0.0557937
"social system"	0.0556051
truce	0.0554663
revision	0.055357
statute	0.0553319
belief	0.0549408
sanctity	0.0545714
"golden rule"	0.0545637
promulgation	0.054501
responsibility	0.0543503
pillar	0.0540706
guidance	0.0535424
custom	0.0533006
formulation	0.0532268
universality	0.05314
moral	0.0531053
intricacy	0.0528077
implication	0.0527527
reality	0.0524577
consensus	0.0522956
"religious belief"	0.0522871
memorandum	0.0522596
"criminal law"	0.0522314
"U.N. Convention"	0.0521143
adherence	0.0521076
restriction	0.0519786
unification	0.0519659
teaching	0.0519
logic	0.0516157
ceasefire	0.0515567
assumption	0.0514141
pledge	0.0512825
crux	0.051269
"game plan"	0.0511863
reasoning	0.0511738
"political platform"	0.0510839
decree	0.051005
specification	0.0509699
Liberalization	0.0509563
correctness	0.050916
"expansion plan"	0.0507229
"International Covenant"	0.0507104
achievement	0.0505558
intention	0.0504538
validity	0.0504023
undertaking	0.0503343
"road map"	0.0503229
orthodoxy	0.0502485
semblance	0.0502294
applicability	0.0502192
"Nationality Law"	0.0500811
scope	0.0500587
bylaw	0.0499999
intent	0.0499959
continuity	0.0497641
axiom	0.0494582
instruction	0.0493721
premise	0.0493289
))
(basics (desc 10344.4) (sims
basic	0.0945033
"basic concept"	0.0555841
intricacy	0.053766
nicety	0.0486159
refinement	0.047446
amenity	0.0447841
"heavy hitter"	0.0442263
nuance	0.0434665
Etiquette	0.0433429
gadget	0.0429248
tenet	0.0420364
staple	0.0409906
minutiae	0.0407287
"basic principle"	0.0406614
standouts	0.0402777
convenience	0.0401187
))
(basij (desc 1240.77) (sims
"South Lebanese Army"	0.168247
"South Lebanon Army"	0.15942
Interahamwe	0.127314
Marehan	0.118785
SLA	0.113829
IRGC	0.113439
"Afghan Taliban"	0.109271
Taleban	0.109022
"South Vietnamese"	0.103566
Amal	0.103522
ragtag	0.102138
"Republican Guard"	0.100935
ninja	0.0988807
INTERFET	0.094645
KNU	0.0932472
NATO-led	0.091523
RRA	0.089271
Banyamulenge	0.0882303
UNFICYP	0.0880392
"Intelligence Ministry"	0.087807
UNTAET	0.0873664
"Northern Fleet"	0.0863411
Kamajors	0.0859443
KFOR	0.0856245
"Bosnian Croat"	0.0849964
IFOR	0.0832645
SPLA	0.0832163
Abkhazian	0.0803496
"Russian Interior Ministry"	0.0802744
"U. N."	0.0781224
"Congress Working Committee"	0.0777157
occupying	0.0769264
SFOR	0.0766956
"Peace Corps"	0.0756604
"Yugoslav Army"	0.0744214
Uzbek	0.0734163
"South African National Defense Force"	0.0733452
subclan	0.0730543
UNAMSIL	0.0727926
"civil defense"	0.072403
"Revolutionary Guards"	0.0721733
MSF	0.070614
UNIFIL	0.0696647
mujahedeen	0.0691971
"Special Forces"	0.0689997
"Russian Navy"	0.0684665
WNBF	0.0683908
gendarmerie	0.0682065
U.S.-led	0.0681629
RCD	0.0680728
UPDF	0.0676593
PNP	0.067056
infantry	0.0665946
Americorps	0.0663905
Hutu	0.0661917
royalist	0.065152
MNLF	0.0643071
"Red Army"	0.0641498
Zairian	0.0620858
"Warsaw Pact"	0.0618566
"West African"	0.061693
Camerounian	0.0607804
"Lebanese Hezbollah"	0.0587571
RUF	0.0584392
"Delta Force"	0.0581876
"Lord's Resistance Army"	0.0579419
"International Ski Federation"	0.0561619
"popular front"	0.0556137
"British Empire"	0.0554808
"North Vietnamese"	0.0546468
LRA	0.0545459
TNI	0.0543914
Shiite	0.0542824
"Russian Security Council"	0.0539744
SDP	0.0536415
"Albanian Kosovo Liberation Army"	0.053442
"Allied Democratic Forces"	0.0528004
"regular army"	0.0525559
Kuomintang	0.0525196
peace-keeping	0.0520919
"Shiite Muslim"	0.0520339
RUC	0.0517751
ABRI	0.0512888
SANDF	0.051031
"Total Independence"	0.0508918
Gurkha	0.0508632
pro-British	0.0507214
Eros	0.05061
cobra	0.050401
"Provisional Ruling Council"	0.0503785
"Islamic Revolutionary Guards Corps"	0.0497238
RAF	0.0493867
"Infantry Division"	0.0489363
"Damascus Declaration"	0.0488563
"Airborne Division"	0.0487159
"Northern Alliance"	0.0486799
"Revolutionary Armed Forces"	0.0486375
KPA	0.0485676
Timorese	0.048034
"Southern Command"	0.047987
"Congressional Black Caucus"	0.0479455
"roughly @,@@@"	0.0476356
"Colorado Party"	0.0472542
"National Liberation Army"	0.046891
"American Legion"	0.0466521
"Bosnian Muslim"	0.0464846
sub-regional	0.0464819
"Palestine National Council"	0.0462328
"Andean Group"	0.0460142
DLC	0.0458331
secularist	0.0456194
"National Guard"	0.0454114
"Guardians Council"	0.0453184
"Sudan People's Liberation Army"	0.0451375
Aidid	0.0449197
"up to @@,@@@"	0.0447944
Mujahideen	0.0446944
"Nationalist Party"	0.0446493
"Real IRA"	0.0444652
"Turkish Embassy"	0.0439356
"Jehovah's Witness"	0.0439323
infidel	0.0438347
Masood	0.0437693
Hezb-i-Islami	0.0437679
"Bosnian Serb"	0.0437367
"first overtime"	0.0437318
Mensa	0.0436326
"Foreign Relations Committee"	0.043376
"Air Force Reserve"	0.0433079
"Human Rights Commission"	0.0431099
"Palestinian Central Council"	0.043081
"House International Relations Committee"	0.0429894
Kurdish	0.0429662
"Organization of Islamic Conference"	0.0425847
Thirty-four	0.042513
Tutsi	0.042428
VFW	0.0424103
pan-African	0.042374
Leedham	0.0422947
Zapatista	0.0422207
ELN	0.0421699
"Kurdistan Workers Party"	0.0420459
"Two hundred"	0.0419989
airforce	0.0415766
BSF	0.0414852
closedown	0.0413766
Sandinista	0.0413522
"Moro National Liberation Front"	0.0413097
EPR	0.0412392
"National Council"	0.041079
"fire brigade"	0.0410175
"Andean Community"	0.0409437
"naval forces"	0.0409249
"World Health Assembly"	0.0405904
Abortion-rights	0.0404086
"Around @@@"	0.0404063
"International Amateur Athletic Federation"	0.0403804
"Baath Party"	0.0403025
"Liberation Front"	0.0403005
"Guardian Council"	0.0402656
NSC	0.040244
))
(Basil (desc 19833.1) (sims
parsley	0.433126
thyme	0.405185
oregano	0.40216
cilantro	0.382412
tarragon	0.373941
chive	0.35022
marjoram	0.349938
Garlic	0.318462
dill	0.314108
chervil	0.310771
rosemary	0.309961
mint	0.309086
shallot	0.299897
"green onion"	0.297125
scallion	0.276877
"lemon juice"	0.268919
"pine nut"	0.263076
onion	0.259225
"bay leaf"	0.254536
"lemon zest"	0.252069
pepper	0.248164
tomato	0.243245
"red pepper"	0.242498
celery	0.241158
vinegar	0.240667
"lime juice"	0.24055
"red onion"	0.237001
cumin	0.235276
ginger	0.234573
"olive oil"	0.233058
arugula	0.231763
coriander	0.231225
olive	0.225942
chilies	0.224421
fennel	0.219088
mustard	0.219076
"bell pepper"	0.216598
cucumber	0.216359
Parmesan	0.216198
herb	0.215612
peppercorn	0.21289
lemon	0.207821
"orange zest"	0.205378
salt	0.205061
"chili powder"	0.204993
cinnamon	0.204136
spinach	0.201147
"black pepper"	0.199449
anchovy	0.198487
cayenne	0.198101
Sage	0.1976
lettuce	0.197256
jalapeno	0.191976
caper	0.189574
cheese	0.189129
"black olive"	0.187013
"brown sugar"	0.186996
mayonnaise	0.186152
chiles	0.185878
mushroom	0.185431
paprika	0.184036
almond	0.1817
walnut	0.181418
"soy sauce"	0.180726
"garlic clove"	0.179713
"Worcestershire sauce"	0.17869
carrot	0.178389
watercress	0.177245
"tomato paste"	0.177104
"fennel seed"	0.175806
flake	0.173997
raisin	0.173833
sprig	0.173029
nutmeg	0.172464
avocado	0.17105
lemongrass	0.170834
"sour cream"	0.170186
lime	0.169626
pecan	0.169134
leek	0.166719
"wine vinegar"	0.166675
allspice	0.166446
cabbage	0.161711
butter	0.161258
"garlic salt"	0.160925
"cayenne pepper"	0.160546
"sesame oil"	0.159348
"green pepper"	0.159301
coconut	0.158966
mozzarella	0.158291
"sesame seed"	0.157964
eggplant	0.15691
clove	0.156727
horseradish	0.156531
zucchini	0.154478
saffron	0.153929
"tomato sauce"	0.152414
raspberry	0.151792
vanilla	0.151232
asparagus	0.15019
"curry powder"	0.149709
cornstarch	0.14934
"pepper sauce"	0.149212
"cumin seed"	0.148492
crumb	0.148237
pesto	0.148009
artichoke	0.146617
seasoning	0.146172
"peanut oil"	0.145533
vinaigrette	0.145485
pancetta	0.145437
yogurt	0.144705
radish	0.143374
ricotta	0.142737
"goat cheese"	0.142516
"blue cheese"	0.142486
sauce	0.141974
"seasoned salt"	0.140542
"hot pepper"	0.138424
turmeric	0.137428
potato	0.137127
bacon	0.13696
"cherry tomato"	0.136668
pineapple	0.13663
prosciutto	0.135443
sugar	0.13518
"mustard seed"	0.133976
"coconut milk"	0.133716
Sorrel	0.133415
"chicken broth"	0.132973
cornmeal	0.132672
honey	0.132658
"lemon peel"	0.132338
romaine	0.132142
buttermilk	0.13197
half-and-half	0.13192
breadcrumb	0.131866
Chili	0.131086
hazelnut	0.130999
powder	0.130392
pea	0.130154
"egg yolk"	0.129453
leaf	0.128536
tahini	0.128331
"Tabasco sauce"	0.127239
"orange juice"	0.126932
FETA	0.126805
savory	0.126665
spice	0.126186
"black bean"	0.125096
"orange peel"	0.124809
broth	0.124809
"white pepper"	0.124009
chutney	0.123843
beet	0.1233
vegetable	0.122453
mango	0.121737
chard	0.121702
"celery seed"	0.121524
"grated cheese"	0.121135
sherry	0.120818
currant	0.120596
cream	0.120205
anise	0.120092
paste	0.119794
ham	0.11927
"macadamia nut"	0.119034
"Swiss chard"	0.118707
flour	0.117517
Broccoli	0.117372
"white wine"	0.117151
"heavy cream"	0.116906
sprout	0.116863
"cider vinegar"	0.116189
"baking powder"	0.116002
"coriander seed"	0.115739
"shiitake mushroom"	0.115475
peanut	0.115463
"vegetable oil"	0.11531
tomatillo	0.115288
puree	0.115127
fig	0.113756
lavender	0.113596
blueberry	0.113585
"chili pepper"	0.11344
bean	0.11322
truffle	0.113125
salami	0.113034
"hot sauce"	0.111774
pasta	0.111053
"romaine lettuce"	0.110758
Gorgonzola	0.11057
"water chestnut"	0.110111
zest	0.109941
egg	0.109616
strawberry	0.109453
shrimp	0.109118
"whipping cream"	0.108977
"chicken stock"	0.108664
"hard-boiled egg"	0.108094
"maple syrup"	0.107886
"vanilla bean"	0.107632
"bean sprout"	0.107184
"green olive"	0.106908
"green bean"	0.106467
chocolate	0.105922
cardamom	0.105748
nut	0.105296
molasses	0.104574
"peanut butter"	0.104202
radicchio	0.103962
flavoring	0.103753
sausage	0.103646
noodle	0.103462
berry	0.103028
"cream cheese"	0.102721
Kale	0.102589
salsa	0.102541
"cheddar cheese"	0.102476
"baking soda"	0.102004
melon	0.101626
lentil	0.1012
juice	0.100884
"tomato juice"	0.100491
grape	0.100397
Chickpea	0.100076
))
(Basilan (desc 4587.53) (sims
Sulu	0.238855
Jolo	0.223939
Cotabato	0.223433
Palawan	0.194313
Maguindanao	0.193144
Sipadan	0.163248
Buldon	0.155118
Mindanao	0.139208
Zamboanga	0.135077
Phuket	0.132273
Norte	0.125317
"Irian Jaya"	0.114791
"Central Mindanao"	0.110992
Sakhalin	0.108775
Bamiyan	0.108257
"North Maluku"	0.102914
Herat	0.101245
Batam	0.100426
Maluku	0.0979991
Aceh	0.0969669
"Chiang Rai"	0.0949502
Tete	0.0940899
Sindh	0.0935908
Tunceli	0.090727
Kyushu	0.0890389
Bursa	0.0881766
Sur	0.087955
Pampanga	0.0875732
Bougainville	0.0863073
Sofala	0.0862177
Cebu	0.0857985
Talipao	0.0855767
Putumayo	0.0845033
Ambon	0.0841744
Davao	0.0829596
Mpumalanga	0.0818138
Huambo	0.081653
Sulawesi	0.0810733
Makeni	0.08086
Katanga	0.0808229
Bingol	0.0802313
"Eastern Province"	0.0799838
Antioquia	0.0796877
BIE	0.0794913
Najaf	0.0789032
Uvira	0.0787698
Kalimantan	0.0786295
"Anlong Veng"	0.0777467
"Bekaa Valley"	0.0766419
Anjouan	0.0761416
Balochistan	0.0759717
Isfahan	0.0756213
Vojvodina	0.0753872
Riau	0.0752276
Nyanza	0.0750925
Luzon	0.0749778
"CHIANG MAI"	0.0729275
Sumatra	0.0726874
Abkhazia	0.0715394
Batticaloa	0.0710392
"Jaffna Peninsula"	0.0709124
Punjab	0.07064
Borneo	0.0697906
"Northern Province"	0.0696501
"East Kalimantan"	0.0693962
Basra	0.0687668
Benguela	0.0687203
"Abu Musa"	0.0683422
"West Timor"	0.0676913
Dagestan	0.066236
highland	0.0660639
Bengkulu	0.0660585
Kandahar	0.0656153
Cabinda	0.0655419
Sirnak	0.0650377
"Mount Lebanon"	0.0649901
Hainan	0.064924
Bushehr	0.0647295
"Surat Thani"	0.0646442
Pemba	0.0641663
Kailahun	0.0634611
"Southern Philippines"	0.0633515
"East Nusa Tenggara"	0.0628118
Anhui	0.062648
Gauteng	0.0621539
Hakkari	0.0619058
Tigray	0.0618432
Copperbelt	0.0610526
Kwazulu-Natal	0.0609456
Crete	0.0603979
Caprivi	0.0603728
Mogadishu	0.0600855
Timor	0.0598248
Diyarbakir	0.059696
Baoding	0.0595586
Shiraz	0.0594249
Bekaa	0.0593951
"Central Java"	0.0588358
"North Caucasus"	0.0585949
"Western Cape"	0.0583434
Mullaitivu	0.057937
peninsula	0.057755
Kismaio	0.0577156
Liaoning	0.0576703
Juba	0.0575734
Antalya	0.0575153
Bali	0.0572022
"East Java"	0.0571542
Khost	0.0571084
Hokkaido	0.05708
"rift valley"	0.0566776
Shaanxi	0.0565352
Kuito	0.0565261
Kilinochchi	0.0564049
"New Guinea"	0.0559857
Izmir	0.0555727
Yogyakarta	0.0549364
Adana	0.0549108
Carmen	0.0548268
Guantanamo	0.054795
jungle	0.0547151
Okinawa	0.0544665
Hyderabad	0.0544407
Grozny	0.0543033
Heilongjiang	0.0542947
Sabah	0.0541273
"San Salvador"	0.0541199
Hebei	0.0540308
"South Sulawesi"	0.0537452
Jaffna	0.0536302
"Metro Manila"	0.0536082
Shandong	0.053454
"West Java"	0.0532791
Jiangxi	0.0528459
Entebbe	0.0528253
Monrovia	0.0528161
"Abu Sayyaf"	0.0526911
Corsica	0.0525572
Attica	0.052066
Sidon	0.0520339
Aswan	0.0516043
Mankulam	0.0507132
Jilin	0.0506802
Bukavu	0.0502753
Vavuniya	0.0502437
Guizhou	0.0497702
Qom	0.0496541
Hubei	0.0495435
"Lagos State"	0.0493988
Aden	0.0492401
Krasnoyarsk	0.0491193
Zhejiang	0.0489329
"South Mogadishu"	0.0488852
Chiapas	0.0487663
Chatham	0.0486678
"Lower Saxony"	0.0485857
"Siem Reap"	0.0483191
Fujian	0.0479105
Hunan	0.0478604
Sichuan	0.0477121
Luanda	0.0475203
"Phnom Penh"	0.0473562
Ingushetia	0.0472762
Fiji	0.0472292
Hispaniola	0.0470947
Kisangani	0.0470438
Veracruz	0.0469834
Kurdistan	0.0469473
Meta	0.0465805
"West Kalimantan"	0.0461866
Suva	0.0461468
Atambua	0.0461425
Vedeno	0.0461215
Malisevo	0.0460926
Kabul	0.0458575
"North West Frontier Province"	0.045818
Shanxi	0.0456934
Langkawi	0.0456725
Moroni	0.0455413
Bataan	0.0455252
Decani	0.0453345
Puebla	0.0452516
"St. Maarten"	0.0452192
Gansu	0.0452108
Qinghai	0.0451928
Oahu	0.0451871
Kupang	0.0451579
Vlore	0.0450626
Lampung	0.0449306
Madeira	0.0448793
Arua	0.0448576
Limon	0.0446304
Kindu	0.0444859
Jiangsu	0.0442797
Henan	0.0441149
Soweto	0.0440801
Argun	0.0440372
hinterland	0.0440012
Toro	0.0437455
Flores	0.0437446
))
(Basilica (desc 12708.8) (sims
Cathedral	0.194145
church	0.125196
Monastery	0.124285
chapel	0.12173
"St. Peter"	0.115387
synagogue	0.114945
Colosseum	0.110534
shrine	0.107964
mosque	0.0971701
palace	0.0922748
cemetery	0.0874342
"Sistine Chapel"	0.0859938
"U.S. Capitol"	0.0854219
tomb	0.0844679
"Manger Square"	0.0798279
temple	0.0785995
Castle	0.0783078
grotto	0.0781039
square	0.0776007
edifice	0.077374
"city hall"	0.0766711
Reichstag	0.0741669
"concert hall"	0.0737729
Convent	0.0730153
sanctuary	0.0715205
Parthenon	0.0709549
mansion	0.0700686
Capitol	0.0688657
monument	0.0688144
"opera house"	0.0682308
seminary	0.0682057
Fort	0.0678221
cloister	0.0673297
rotunda	0.0669112
"feast day"	0.0668843
Dome	0.066855
plaza	0.0667053
"Al-Aqsa Mosque"	0.0665778
fortress	0.0663358
"Washington Monument"	0.0658193
statue	0.06555
"bell tower"	0.0654773
hall	0.064418
"Episcopal Church"	0.0642538
"St. Patrick"	0.0640844
"Union Station"	0.0640443
Crypt	0.0639405
parish	0.0636809
"Olympic Stadium"	0.0633812
Villa	0.0629755
auditorium	0.0624991
"Catholic Church"	0.0623871
planetarium	0.061896
Tower	0.0617145
abbey	0.0615018
"Potala Palace"	0.061276
courthouse	0.0608987
altar	0.0608042
Acropolis	0.0605918
"Lincoln Memorial"	0.0604805
sarcophagus	0.0598872
"Western Wall"	0.0595342
mausoleum	0.0592422
"Great Hall"	0.058973
"Windsor Castle"	0.0578295
library	0.0577036
residence	0.0577007
"Roman Catholic Church"	0.0574837
"railway station"	0.0567315
pyramid	0.0563474
pagoda	0.0560576
"Metropolitan Opera House"	0.0557853
Chateau	0.0547982
Lighthouse	0.053843
dwelling	0.0535859
"Al Aqsa Mosque"	0.0528964
"assembly hall"	0.0526817
"hospital room"	0.0521625
gymnasium	0.0519834
orphanage	0.0519199
"office building"	0.0515103
foyer	0.0513303
townhouse	0.0512038
farmhouse	0.0507336
"sports arena"	0.0502634
"exhibition hall"	0.0497412
landmark	0.0496725
"Buckingham Palace"	0.0496363
arch	0.049628
fresco	0.049604
hangar	0.0494354
pavilion	0.0488418
Vatican	0.0487876
"Great Wall"	0.0487601
"community center"	0.0486802
"Tiananmen Square"	0.0485234
"art gallery"	0.0483896
terminal	0.0483259
courtyard	0.0475675
"Erie Canal"	0.047407
"police station"	0.0474032
amphitheater	0.047367
"town hall"	0.0472095
graveyard	0.047035
fountain	0.0469832
kiln	0.0469697
memorial	0.0467762
cave	0.0467099
"conference center"	0.0466193
"apartment building"	0.0463356
"Taj Mahal"	0.0460399
skyscraper	0.0459115
gallery	0.0458294
"Arlington National Cemetery"	0.0457384
"soup kitchen"	0.0452696
"shopping mall"	0.0451946
schoolhouse	0.0450534
bungalow	0.045004
"row house"	0.0448386
"funeral home"	0.0447027
"Forbidden City"	0.0445976
"World Trade Center"	0.044567
ballroom	0.0444263
Grave	0.0443907
"stone wall"	0.0442642
mural	0.0441914
"pipe organ"	0.0440114
"Christian church"	0.0439783
"Radio City Music Hall"	0.0436985
Warehouse	0.0436131
"jail cell"	0.043567
Virgin	0.0434519
"Presidential Palace"	0.0433514
"Royal Opera House"	0.0433084
"elementary school"	0.0432874
barn	0.0432559
fortification	0.0431242
"train station"	0.0430633
cabin	0.0430535
"Sydney Opera House"	0.0430324
"St. Paul"	0.0430294
facade	0.042944
"reception room"	0.0426054
"burial ground"	0.0425842
"manor house"	0.0425187
"amusement park"	0.0423484
inn	0.0423353
"post office"	0.0423259
"army base"	0.0420141
showroom	0.0418832
"U.S. Embassy"	0.0418764
"police headquarters"	0.0418714
Pantheon	0.0417014
nave	0.0414467
"Gorges Dam"	0.0414007
"general store"	0.0412827
"department store"	0.0409901
"Civil Rights Act"	0.0409647
aquarium	0.0409519
"garbage dump"	0.0408743
"apartment house"	0.0406725
"navy base"	0.0406708
speedway	0.0406466
Canal	0.0405193
barrack	0.0403055
"shopping center"	0.0402888
cafe	0.040278
Cooperstown	0.0401761
"hotel room"	0.0401063
))
(basin (desc 32259.8) (sims
"Tarim Basin"	0.133929
"river basin"	0.132721
"Qaidam Basin"	0.11265
valley	0.108999
river	0.103231
lake	0.102924
reservoir	0.101735
oilfield	0.0989386
tributary	0.0970717
Tarim	0.0950407
area	0.0919071
"Bohai Bay"	0.0909001
"Bohai Sea"	0.0897927
region	0.0889321
estuary	0.0884726
"Caspian Sea"	0.0880531
watershed	0.0851122
"Taklimakan Desert"	0.0829289
Xinjiang	0.0818951
tub	0.0818238
delta	0.0808482
pond	0.0803726
Caspian	0.0798544
aquifer	0.078894
desert	0.0787229
"Niger Delta"	0.0762416
forest	0.0743939
dam	0.0735878
"Taihu Lake"	0.0729801
ecosystem	0.0721354
grassland	0.0718104
water	0.0715889
"South China Sea"	0.0706606
"Xinjiang Uygur Autonomous Region"	0.0701734
"Huaihe River"	0.0700999
Qinghai	0.0695651
lagoon	0.0695159
pot	0.0694404
"continental shelf"	0.0684533
wetlands	0.0683392
Shaanxi	0.0677718
"Yellow River"	0.0674391
"catchment area"	0.0673687
canyon	0.0670758
seabed	0.0669499
bathtub	0.066412
"Inner Mongolia Autonomous Region"	0.0661228
Gulf	0.066033
Yangtze	0.0652426
ocean	0.0652154
"Gulf of Mexico"	0.065029
"urban area"	0.0650176
gorge	0.0648351
"Yangtze River"	0.0646313
waterway	0.0646222
"Pacific Ocean"	0.0641399
Canal	0.0640732
sea	0.0639698
province	0.0639242
"Mekong River"	0.0638795
"Inner Mongolia"	0.0633206
jar	0.0628513
Ganges	0.0627428
plateau	0.0622159
Sichuan	0.0621935
"East China Sea"	0.0621863
county	0.0616674
pool	0.0614518
cave	0.0608688
bowl	0.0606872
vase	0.0605524
Ningxia	0.0604141
mountain	0.0603542
harbor	0.0603068
reserve	0.0602424
"Colorado River"	0.0602047
coastline	0.0587357
coast	0.0580887
prefecture	0.0580833
pit	0.0579784
pan	0.0578528
"Pearl River"	0.057651
Bay	0.0574445
"body of water"	0.0571964
ravine	0.0569299
reef	0.0567764
"Indian Ocean"	0.0567576
bucket	0.0564613
Wetland	0.0564564
zone	0.0564136
"Central Asia"	0.0563961
shoreline	0.0562925
tray	0.0562759
Mediterranean	0.0559652
crater	0.05582
groundwater	0.055418
"North Sea"	0.0553714
container	0.0553046
corridor	0.0552834
Guangxi	0.0552349
oases	0.0552269
resource	0.0551445
jungle	0.055016
plain	0.0548596
Africa	0.0547413
"Dongting Lake"	0.054702
Shanxi	0.05465
"rain forest"	0.0545585
Northeast	0.0545504
"rural area"	0.0544709
"hot spring"	0.0542113
park	0.0540414
"Persian Gulf"	0.054022
fishery	0.0538902
"national park"	0.0538445
swamp	0.0536551
stream	0.0535402
Siberia	0.0534119
highland	0.0532485
tank	0.0532474
"Black Sea"	0.0529953
Tibet	0.0528853
Yunnan	0.0528541
gutter	0.0526407
"Great Lakes"	0.0526026
kettle	0.0525947
"Ningxia Hui Autonomous Region"	0.052401
pasture	0.0522646
southwest	0.0522448
lowland	0.0522273
island	0.0521521
"Pearl River Delta"	0.0520501
Gansu	0.0519936
Caribbean	0.0518921
Alaska	0.0518459
"Hubei Province"	0.0518334
"swimming pool"	0.0518221
Danube	0.0516052
Creek	0.0512884
metropolis	0.0511355
embankment	0.0510425
countryside	0.0509645
waters	0.0509444
Marsh	0.0508676
district	0.0508288
"Shanxi Province"	0.0507938
grotto	0.0507173
"Qinghai Province"	0.0506318
"Yunnan Province"	0.0506277
section	0.0505801
jug	0.0505305
northwest	0.0504733
"South America"	0.0503886
Zhongguancun	0.0502854
km	0.050276
rim	0.0502468
Hunan	0.0500408
tract	0.0499938
fountain	0.0499631
port	0.0499608
"Bay of Bengal"	0.0499306
landscape	0.0498912
Everglades	0.0495032
"pumping station"	0.0494877
"Heilongjiang Province"	0.0493383
Atlantic	0.0493244
Anhui	0.0489534
village	0.0488864
east	0.0488709
habitat	0.0488611
triangle	0.048714
dike	0.0486506
"mountain range"	0.0485691
"Far East"	0.0485262
urn	0.0484874
"Anhui Province"	0.0483865
dish	0.0480754
pipe	0.0479846
archipelago	0.0477661
"Loess Plateau"	0.0476415
township	0.0475008
Caucasus	0.0474493
"ground water"	0.0474019
ecology	0.0473701
cavern	0.0473143
"water level"	0.0472183
pacific	0.047191
ditch	0.0471573
"industrial park"	0.047083
"Southeast Asia"	0.0470007
farmland	0.0469687
"Guangxi Zhuang Autonomous Region"	0.046912
Asia	0.0468794
"Gansu Province"	0.0467323
beach	0.0466653
garden	0.0466385
"San Francisco Bay"	0.0465721
tunnel	0.0464337
"coral reef"	0.0464144
Chongqing	0.0462722
))
(basis (desc 143178) (sims
principle	0.110871
ground	0.108748
foundation	0.108703
framework	0.104836
prerequisite	0.104069
scale	0.0997649
behalf	0.095006
term	0.0924951
issue	0.0921973
footing	0.0910392
mechanism	0.0889972
level	0.0870274
precondition	0.0858285
merit	0.0844731
condition	0.0837563
matter	0.0825985
cornerstone	0.0825443
timetable	0.0819315
occasion	0.0816541
evidence	0.080694
way	0.0804184
justification	0.0783502
validity	0.0765476
guarantee	0.0761739
need	0.0749495
measure	0.0749469
Internet	0.0745311
proof	0.0743928
guideline	0.0733394
"basic principle"	0.0731449
importance	0.072293
reason	0.0720762
requirement	0.0720073
aspect	0.0703168
policy	0.0702941
eve	0.0702427
subject	0.0701023
part	0.0699783
premise	0.069391
proposal	0.0693529
Wednesday	0.0692798
arrangement	0.0692215
objective	0.0689578
Friday	0.0684763
Implementation	0.0681694
agenda	0.0681583
foundations	0.0678178
precedent	0.0677852
support	0.0677004
Tuesday	0.0675448
concept	0.0670514
means	0.0670472
strategy	0.0668649
Monday	0.0668614
scope	0.0665092
web	0.0662779
rationale	0.0651829
schedule	0.0651716
development	0.0651198
explanation	0.0650144
purpose	0.0647517
Thursday	0.0646456
modality	0.0646415
"starting point"	0.0646144
procedure	0.0645707
system	0.0644446
side	0.0644003
strength	0.0642727
pretext	0.0639831
prospect	0.0638055
indication	0.0636871
Formula	0.0634885
plan	0.0634544
criteria	0.0633529
solution	0.0628993
element	0.0628083
question	0.062332
understanding	0.0621994
standard	0.0621479
priority	0.0619454
application	0.0618279
blueprint	0.0616135
significance	0.0610832
factor	0.0609094
result	0.0608583
assumption	0.060855
model	0.0607002
average	0.0606438
process	0.0606314
market	0.0605747
implication	0.0604229
provision	0.0602836
account	0.0601922
method	0.0601583
topic	0.0600003
list	0.0599128
opportunity	0.0598486
revision	0.0597496
agreement	0.0596932
recommendation	0.0596583
essential	0.0595694
assessment	0.0594956
"one hand"	0.059404
platform	0.0592967
step	0.0592272
parameter	0.0588155
theory	0.0586613
weekends	0.0585523
base	0.0585322
initiative	0.0585023
Saturday	0.0577732
necessity	0.0575992
fundamental	0.0575689
continent	0.0575636
structure	0.0574927
Sunday	0.0574697
status	0.0573515
criterion	0.0572048
detail	0.0570643
"Capitol Hill"	0.0568596
idea	0.0568215
excuse	0.056767
value	0.056747
outcome	0.0566773
possibility	0.0566154
program	0.0564914
site	0.0563318
preparation	0.0561436
impetus	0.0558867
consideration	0.055767
environment	0.0557308
achievement	0.0552279
demand	0.0552158
approach	0.0551427
specific	0.0549628
exchange	0.0547451
review	0.0547299
number	0.0545903
conclusion	0.05451
analysis	0.0544749
benefit	0.0542408
relationship	0.0541574
theme	0.054035
"May @@"	0.0540116
form	0.0539755
nature	0.0539448
trend	0.0536733
charge	0.0536231
date	0.0535724
document	0.0535579
reform	0.0535575
project	0.0534167
request	0.0534061
responsibility	0.0532442
range	0.0531594
context	0.0531481
interpretation	0.0531403
track	0.0531299
norm	0.0530328
definition	0.0529678
progress	0.0529578
knowledge	0.0529412
recognition	0.0528706
protection	0.0528599
problem	0.0528296
kind	0.0528243
Promotion	0.0528176
target	0.0526825
amount	0.0526377
mainland	0.0524523
limit	0.0523885
security	0.052258
cooperation	0.0520807
summary	0.0520745
mandate	0.0520723
day	0.0520265
pillar	0.0518567
reflection	0.0518276
improvement	0.0517441
effort	0.0517233
violation	0.0517073
task	0.0515218
news	0.051512
point	0.0514194
verge	0.0514156
potential	0.0513763
outline	0.0513094
pattern	0.0512787
tool	0.0511176
deadline	0.0510719
campus	0.051036
acceptance	0.0509927
indicator	0.0509838
quality	0.0509621
appeal	0.0509217
"April @@"	0.0509183
key	0.0507979
rule	0.0507636
hope	0.0507386
view	0.0506556
))
("basis point" (desc 10093) (sims
"percentage point"	0.22838
quarter-point	0.181682
"one percent"	0.138761
centavo	0.130918
kilobits	0.109332
"three percent"	0.10775
percent	0.106519
"two percent"	0.103665
"more than @.@ percent"	0.101195
"four percent"	0.100515
"eight percent"	0.0985166
"six percent"	0.0975366
"about @ percent"	0.0975179
one-quarter	0.0965716
"seven percent"	0.0962875
"about @.@ percent"	0.0944111
"miles per gallon"	0.0937186
"more than @"	0.0916287
cent	0.0915666
half-point	0.0904531
"one cent"	0.0900974
"five percent"	0.0900229
m.p.h	0.0871881
"nine percent"	0.0868612
"kilometers per hour"	0.0837923
one-half	0.0831161
"almost @@"	0.0828613
hundredth	0.0818629
year-on-year	0.0812466
"two cents"	0.0801286
"nearly @@ points"	0.0796307
"more than @@@ points"	0.0768916
"about @@@ points"	0.0767464
"about two percent"	0.0759014
Sen	0.0757382
"miles per hour"	0.0752947
Hertz	0.0732799
mpg	0.0724925
"about @@ percent"	0.0710288
"discount rate"	0.0709775
"almost @"	0.0701271
"nearly @"	0.0698076
ruble	0.0691719
"ten percent"	0.0691338
barrel	0.0681582
pfennig	0.0678976
kph	0.0678325
kg	0.067338
bpd	0.0668961
"about @@ points"	0.0668182
"five cents"	0.0663692
euros	0.0658878
"about $@"	0.0651623
fils	0.0650834
"nearly @@"	0.0638138
"funds rate"	0.0635273
"Reserve Bank of Australia"	0.0619324
"three cents"	0.0618854
megahertz	0.0615052
"over @@ points"	0.0601106
"more than @@ points"	0.059235
"about four percent"	0.0587955
"interest rate"	0.0578149
three-quarters	0.0576376
"Up to @.@@ Percent"	0.0568065
mph	0.0559408
"nearly @@@ points"	0.0554803
"producer price"	0.0550409
penny	0.054911
"Bank of Canada"	0.0537478
Pct	0.0535157
"about $@,@@@"	0.0534031
"one dollar"	0.0526667
megabits	0.0525313
"roughly @@"	0.0521688
"U.S. Federal Reserve"	0.0514219
two-tenths	0.0511647
reais	0.0510758
one-third	0.0510286
kgs	0.0509458
tonne	0.0508919
"another @.@ percent"	0.0505153
"about $@ billion"	0.050339
"Zimbabwe Dollars"	0.0502964
"over @"	0.0501575
"combat mission"	0.0499839
"two points"	0.0496336
notch	0.0494972
"over @@@ points"	0.0489461
VMs	0.0489026
Celsius	0.0486334
nanograms	0.0486157
m.	0.0482299
ratio	0.0474532
"lower than"	0.0474244
"about $@@ million"	0.0473376
ha	0.0471147
"about $@@@"	0.0470334
one-tenth	0.0469475
"about five percent"	0.0468675
km	0.0467684
Fahrenheit	0.0466999
"about $@@"	0.0466918
octave	0.0464993
pataca	0.0461552
"about $@ million"	0.0460063
"one third"	0.0459941
"inflation rate"	0.045976
FT-SE	0.0459569
"a few pounds"	0.0459111
bomblets	0.0458897
"nine cents"	0.0456517
"over @@@@"	0.0456376
"million dollars"	0.0455336
"less than @"	0.0453181
"up to @"	0.0452948
"import duty"	0.0450019
"time deposit"	0.044896
"Over @@@ Million Dollars"	0.0448836
"billion dollars"	0.0448672
"commercial bank"	0.0446097
mw	0.044549
"crime rate"	0.0444284
"more than @@ billion yuan"	0.0443827
"Federal Reserve Board"	0.0440386
"hundred thousand dollars"	0.0440068
"Iraqi POWs"	0.0438729
"over @@"	0.0437112
"retail price"	0.0436622
sortie	0.0431186
U.	0.0430972
"More than one-third"	0.0430762
"oil production"	0.0430124
"about @@@ percent"	0.042898
RM@@	0.0428944
"mortgage rate"	0.0427497
annum	0.0423258
"cancer death"	0.0420456
"about @.@@ percent"	0.0420055
"about $@@ billion"	0.0417642
"eight cents"	0.0417573
BSE-@@@	0.041738
ringgit	0.0416811
"about $@@@ million"	0.0416322
overs	0.0416273
"reserve bank"	0.0414702
Fed	0.0413943
seconds	0.0413738
"up to @@"	0.0413097
"about @.@"	0.0412645
"less than @.@ percent"	0.0411903
NPLs	0.0410723
kilometer	0.0409505
"oil price"	0.0408686
"elephant population"	0.0406304
"nuclear warhead"	0.0405733
rebate	0.0405406
Moody's	0.0405217
"Treasury bond"	0.0400699
))
(basket (desc 75235.6) (sims
layup	0.188188
"free throw"	0.169345
jumper	0.15818
"field goal"	0.140729
dunk	0.134405
"foul shot"	0.124551
layups	0.118762
"jump shot"	0.117465
three-pointer	0.101185
bucket	0.100608
shot	0.0974778
tip-in	0.0941245
Trey	0.0927388
bag	0.0917854
hoop	0.0913379
touchdown	0.0902937
"two @-pointers"	0.086415
box	0.0855425
sack	0.0849813
foul	0.0825314
tray	0.0808578
goal	0.0804792
pot	0.0786655
jar	0.0767016
"bank shot"	0.0761267
net	0.0752146
plate	0.0751718
bowl	0.0749429
container	0.0746346
rebound	0.0742492
TD	0.0734933
ball	0.0731543
game-winner	0.0691024
crate	0.0689785
dish	0.0686279
vase	0.0675482
bottle	0.0647918
interception	0.0640234
"six points"	0.0631872
suitcase	0.0625041
glass	0.0622566
turnover	0.0612142
timeout	0.060896
"nine points"	0.059458
bed	0.0591378
hole	0.0590489
cup	0.0574579
bench	0.056481
rug	0.0564182
pile	0.0563898
carton	0.0563742
bowls	0.0561823
Bin	0.0560743
"eight points"	0.0559184
rim	0.0558911
drawer	0.055582
putt	0.055361
wreath	0.055158
spurt	0.0549466
pan	0.0545866
platter	0.0544488
cooler	0.0544299
"seven points"	0.0543881
baseline	0.0540742
package	0.0539679
meal	0.0539339
birdie	0.0538943
possession	0.0538164
tree	0.0536164
rack	0.0534271
cloth	0.0534212
backpack	0.053222
Tin	0.0530379
piece	0.0530036
kick	0.0527736
bouquet	0.0522355
Pottery	0.0521146
table	0.0520559
sheet	0.0518742
hook	0.051854
chair	0.0513612
car	0.0513501
blanket	0.0509842
furniture	0.0506293
card	0.0506149
trunk	0.0504429
barrel	0.0502601
can	0.0501883
urn	0.0500868
lane	0.0497701
lamp	0.0497524
"five points"	0.0495534
fumble	0.0494249
"four points"	0.0492394
sculpture	0.0487715
jug	0.0487392
refrigerator	0.0487031
shoe	0.0485853
bundle	0.048505
jewelry	0.048396
pack	0.0483533
flower	0.0483193
wall	0.0482048
coffin	0.0479548
camera	0.0479498
shelf	0.0478845
salad	0.0478155
clock	0.0478008
briefcase	0.0477872
chance	0.0477387
carpet	0.0477295
packet	0.0477266
kettle	0.047602
truck	0.0475333
quilt	0.0473795
victory	0.0472151
sandwich	0.0471985
"home run"	0.0471263
punt	0.0468961
item	0.0468876
Defense	0.046886
food	0.0468537
slice	0.0467436
cake	0.0465155
tent	0.0462975
pin	0.0462467
header	0.046166
painting	0.0461127
offense	0.0460604
pair	0.0459173
gift	0.0458862
nest	0.045872
seat	0.0457016
supply	0.0456761
toy	0.04557
corner	0.0455622
screen	0.0454776
"home plate"	0.0454242
frame	0.0453687
window	0.0453572
floor	0.045328
cart	0.0452809
yard	0.0452716
room	0.0452612
candle	0.0450435
cage	0.0450388
Five	0.0447383
advantage	0.0443355
tube	0.0443183
mat	0.0441908
pocket	0.0440286
"teddy bear"	0.0440235
stuff	0.0440091
ceramic	0.0439854
breakaway	0.0436695
machine	0.0436385
garden	0.043595
product	0.0435063
Clothing	0.0434476
snack	0.0434394
closet	0.0434046
shipment	0.0432409
towel	0.0431601
envelope	0.042956
pole	0.042849
goods	0.0427363
eight	0.0426712
"goal line"	0.0425689
stack	0.0424912
ornament	0.0424641
homer	0.0424064
hat	0.0422601
object	0.0422487
bread	0.042193
fruit	0.0420795
variety	0.0420339
fabric	0.0419775
drum	0.041954
row	0.0419398
Six	0.0419323
pad	0.0419232
Warehouse	0.0419059
production	0.0418961
Mound	0.041867
Spoon	0.0418298
recipe	0.0417412
carving	0.0417238
Casserole	0.0416985
handbag	0.0415239
seven	0.0414935
ceiling	0.0413836
grocery	0.0413249
lunch	0.0412383
"two points"	0.0411538
kitchen	0.0411103
picture	0.0410904
plastic	0.0410688
boat	0.0410373
door	0.0409752
desk	0.0409358
))
(basketball (desc 91372.8) (sims
football	0.263515
hockey	0.233746
soccer	0.222705
baseball	0.218047
golf	0.203843
tennis	0.19985
volleyball	0.19242
boxing	0.184259
sport	0.175532
softball	0.166869
"table tennis"	0.155375
Gymnastics	0.155368
NBA	0.149474
"water polo"	0.147699
wrestling	0.146232
"track and field"	0.145617
swimming	0.143595
badminton	0.143512
"field hockey"	0.142394
athletics	0.140791
cycling	0.140587
weightlifting	0.133372
judo	0.132582
handball	0.132279
Racing	0.131855
Rugby	0.129288
rowing	0.12383
lacrosse	0.11743
archery	0.114576
coaching	0.108983
"ice hockey"	0.108853
game	0.106765
taekwondo	0.106366
"basketball player"	0.105403
NFL	0.105263
Bowling	0.104289
"basketball game"	0.102731
"basketball team"	0.10103
"professional basketball"	0.0995064
"figure skating"	0.0992153
cricket	0.0984979
"professional football"	0.0966592
politics	0.0958288
karate	0.0955189
NHL	0.0940354
fencing	0.0935908
chess	0.0930361
team	0.0918912
league	0.0903966
triathlon	0.0889239
Skating	0.0881397
diving	0.0880561
skiing	0.0877879
music	0.0877634
"horse racing"	0.0872562
hoop	0.0860113
WNBA	0.083937
Olympics	0.0835558
men's	0.0835443
"National Basketball Association"	0.0831165
"football team"	0.0828703
tournament	0.0813624
championship	0.0796187
life	0.0782312
player	0.0770729
career	0.0755683
"World Cup"	0.0752785
Yachting	0.0751816
playing	0.0739086
movie	0.0739017
squash	0.0734557
playoff	0.073441
pitching	0.0732807
College	0.0731467
thing	0.0728575
"country music"	0.07234
"basketball league"	0.0723386
art	0.0715822
Journalism	0.0711135
coach	0.0707927
event	0.0702266
"National Football League"	0.0697443
"show business"	0.0693919
Jazz	0.069189
"basketball coach"	0.0691034
NASCAR	0.0690174
history	0.0679209
"Super Bowl"	0.067713
golfing	0.0674925
offense	0.0669404
fishing	0.0668626
Entertainment	0.0668151
"little league"	0.0667609
postseason	0.0667184
"National Hockey League"	0.0667143
fashion	0.0666573
competition	0.0663134
ball	0.0660896
surfing	0.0660144
"Davis Cup"	0.0658478
theater	0.0657003
"rock 'n' roll"	0.0651725
business	0.0651014
race	0.0650134
athlete	0.0649759
"hockey game"	0.0649333
"football player"	0.0646701
kid	0.0646516
Hollywood	0.0646023
dance	0.064436
star	0.0643542
"Big East"	0.0636449
"major league"	0.0635888
final	0.0635078
sex	0.0634976
world	0.0631095
ml	0.0627991
"Chicago Bulls"	0.0626935
television	0.062635
"baseball team"	0.0624265
"baseball game"	0.0623751
writing	0.0619273
TV	0.06185
franchise	0.0614482
job	0.0613888
gardening	0.0613695
Knicks	0.0613506
culture	0.0611871
track	0.061027
match	0.0609392
"cross country"	0.0608797
Lakers	0.0605236
Defense	0.0605197
Celtics	0.0604886
religion	0.0602386
stuff	0.060181
"football coach"	0.0601785
"match play"	0.0597017
"high school"	0.0596834
club	0.0595967
guy	0.0595859
science	0.0595431
education	0.0593269
cooking	0.0588913
bull	0.058611
"Ryder Cup"	0.0585529
woman	0.0585201
film	0.0584631
rodeo	0.0584575
"hockey team"	0.0583015
"baseball player"	0.0582387
NCAA	0.0579677
Yankee	0.0579218
"classical music"	0.0578869
Polo	0.0578278
"pop music"	0.05774
"NCAA Tournament"	0.0576929
shooting	0.057624
fan	0.0574769
cowboy	0.057446
school	0.0574358
wine	0.0572614
teaching	0.0570748
this	0.0563829
marathon	0.0561874
class	0.0561447
contest	0.055984
program	0.0557455
opera	0.0555878
season	0.0555621
series	0.0555586
literature	0.0555551
math	0.0554745
everything	0.0554127
marketing	0.0554092
anything	0.0553376
food	0.0551778
family	0.0551715
cinema	0.055164
profession	0.0548193
"World Series"	0.0547847
CBA	0.0544492
publishing	0.0544005
dancing	0.053948
horse	0.0538842
ACC	0.0538781
shopping	0.0538659
quarterback	0.053839
style	0.0538356
English	0.0538093
Pac-@@	0.0535399
teammate	0.05326
America	0.0532322
preseason	0.0532146
talent	0.0531932
industry	0.0531381
four	0.0529576
poker	0.0528598
hunting	0.0527631
arena	0.0527012
))
("Basketball Championship" (desc 1407.45) (sims
"Volleyball Championship"	0.360591
"Nations Cup"	0.170354
"Volleyball Grand Prix"	0.158161
"World Basketball Championship"	0.152385
"Grand Slam Cup"	0.14193
"World Table Tennis Championships"	0.125153
"Confederations Cup"	0.121627
"Lipton Championships"	0.11609
"Chase Championships"	0.107649
"ATP Tour World Championship"	0.106385
"German Open"	0.102675
"Thomas Cup"	0.102531
"Melbourne Park"	0.0989465
"basketball league"	0.0978993
"World Athletics Championships"	0.0970711
"Italian Open"	0.0968879
"Swiss Open"	0.0923156
"Hamlet Cup"	0.0920144
"National Invitation Tournament"	0.0915793
EuroLeague	0.0915025
"Flushing Meadows"	0.090219
"Louis Vuitton Cup"	0.089027
"World Championships"	0.0875813
"European Swimming Championships"	0.0871586
"Canadian Open"	0.0844562
"Stade Velodrome"	0.0826178
"World Figure Skating Championships"	0.0818515
"World Weightlifting Championships"	0.0814853
"European Champions Cup"	0.0813482
"African Nations Cup"	0.0812522
"World Swimming Championships"	0.0797087
"Paris Open"	0.0793161
"ATP Championship"	0.0785968
Asiad	0.0766512
"Maurier Open"	0.0753951
"World Team Cup"	0.0748985
"African Cup"	0.0728992
"European Championships"	0.0721489
"Champions Cup"	0.0720877
"Libertadores Cup"	0.0719824
tourney	0.0697575
"field hockey"	0.0692738
"Little League World Series"	0.0688139
"Chinese Basketball League"	0.0683917
"Australian Open"	0.0678044
"Market Square Arena"	0.0667383
"Roland Garros"	0.0655903
"Midwest Regional"	0.0652704
"Atlanta Olympic Games"	0.0651961
"Centennial Olympic Games"	0.0638652
"European Championship"	0.0635907
"Asian Championships"	0.0619075
"Kremlin Cup"	0.0615759
"Stockholm Open"	0.0615156
Eastbourne	0.0613296
"National Tennis Center"	0.061295
epee	0.0612419
"Summer Olympic Games"	0.0595375
"Riviera Country Club"	0.0592374
"Memorial Tournament"	0.0590721
Universiade	0.0576997
"Acura Classic"	0.0576318
"World Junior Championships"	0.0574811
"Wimbledon Tennis Championships"	0.056733
Paralympics	0.0561429
Olympiad	0.0553833
"Summer Olympics"	0.0553652
"Copa America"	0.054686
"Sydney Olympic Games"	0.0544049
"Fleet Center"	0.0540408
"Pan Am Games"	0.0540023
Messina	0.0535153
"Indian Wells"	0.053244
"Japan Open"	0.0531657
"Players Championship"	0.0525175
"European Cup"	0.0524878
"World Cycling Championships"	0.0524446
scull	0.0522188
"Pauley Pavilion"	0.0506789
"Southeast Asian Games"	0.0498018
"World Cup Finals"	0.0496675
"European Champions"	0.0492626
Belfry	0.0484241
"Olympic Winter Games"	0.0483755
under-@@	0.0483378
safest	0.0480475
"ice hockey"	0.0479975
"National Games"	0.0477955
"Bangkok Asian Games"	0.0477772
"Expo @@@@"	0.0475838
"F.A Cup"	0.0474252
Leipzig	0.047173
"Eighth National Games"	0.0465421
Spyglass	0.0463892
hypermarket	0.0463133
"Gold Cup"	0.0459121
"swimming meet"	0.0458912
"Pan Pacific"	0.0458322
"Western Open"	0.0457767
"swimming event"	0.0452116
"East Asian Games"	0.0451993
"ski jump"	0.0451372
"five spot"	0.0448559
"Wembley Stadium"	0.0448005
"Longwood Cricket Club"	0.044775
"Asian Cup"	0.0447732
"College World Series"	0.0446308
"European Champions League"	0.044299
"Prince Abdullah Ibn Abdul-Aziz"	0.0441715
Hakuba	0.0440796
"Champions League"	0.0440522
halfpipe	0.0439496
"ski jumping"	0.0437474
relays	0.0437024
"Barcelona Olympics"	0.0436419
"swim meet"	0.0435877
Basle	0.043263
Wentworth	0.0432281
vaulter	0.0429637
"track event"	0.0419763
wildcard	0.0418995
"Manhattan Beach"	0.041811
"zero hour"	0.0417344
"Charlotte Motor Speedway"	0.0415187
"Pan American Games"	0.0411265
"Uber Cup"	0.0410022
"gasoline station"	0.0406036
"Lambeau Field"	0.040469
Anfield	0.0403604
"World League"	0.0402784
"Lambeth Conference"	0.040228
"World Youth Games"	0.0401376
"Augusta National Golf Club"	0.0400986
))
("basketball coach" (desc 14913.3) (sims
"football coach"	0.217851
"baseball coach"	0.150455
coach	0.131891
"basketball team"	0.11614
"basketball player"	0.103101
assistant	0.100755
"football player"	0.0991237
professor	0.0939291
freshman	0.0915372
"graduate student"	0.0879814
"faculty member"	0.0862922
"law student"	0.0857183
"English teacher"	0.0830113
coordinator	0.0811659
sophomore	0.0792683
"coaching job"	0.0783962
All-American	0.07823
quarterback	0.0770369
superintendent	0.0766762
principal	0.0743643
instructor	0.0737342
cheerleader	0.0728755
"hockey coach"	0.0727972
"football team"	0.0726564
"basketball game"	0.0725286
"hockey player"	0.0710172
standout	0.0707843
librarian	0.0695052
basketball	0.0691034
senior	0.0678602
lecturer	0.0678339
lineman	0.0675142
trainer	0.067511
"pitching coach"	0.0670734
grad	0.0667838
junior	0.0667386
"school principal"	0.066535
"assistant professor"	0.0662792
"Breda Kolff"	0.0661973
"music director"	0.0660898
linebacker	0.0657383
COACHES	0.065581
"baseball player"	0.0654295
administrator	0.0652044
dean	0.065072
"June Jones"	0.0650526
headmaster	0.0647621
trustee	0.0646915
"surgeon general"	0.0642295
"truck driver"	0.0641953
psychologist	0.0641887
chaperone	0.0640711
"basketball season"	0.0627241
"English professor"	0.0626106
classmate	0.06182
"running back"	0.0616343
miler	0.0614095
tutor	0.0608422
alumnus	0.060743
CEO	0.0606523
counselor	0.0606437
choreographer	0.0603563
"general manager"	0.0601396
janitor	0.0600224
Provost	0.0598012
"volleyball player"	0.0593299
"law school"	0.0592898
"political scientist"	0.0587678
"prison guard"	0.058535
stockbroker	0.0584914
bookkeeper	0.0579324
"second person"	0.0579139
"school superintendent"	0.0577299
policeman	0.0575073
"math teacher"	0.0569636
walk-on	0.0568252
"social worker"	0.0567553
historian	0.0561633
endorser	0.0557089
"chief operating officer"	0.0557013
Deacon	0.0556534
physicist	0.0555578
"associate professor"	0.0553979
"chief financial officer"	0.0553754
"bus driver"	0.0553257
faculty	0.0551416
undergraduate	0.0547671
pastor	0.0546579
scoutmaster	0.0546281
researcher	0.0545421
"football season"	0.0538209
football	0.0537566
"electrical engineer"	0.0537211
"police officer"	0.0535231
receiver	0.0534423
editor	0.0534275
Litigator	0.0534127
"black person"	0.0533756
clerk	0.0531745
fireman	0.0530115
"track star"	0.052987
copywriter	0.0527447
organist	0.0526826
"law partner"	0.0526376
jockey	0.0525565
curator	0.0525191
"political science"	0.0524284
conductor	0.0523548
announcer	0.0522276
ballplayer	0.0521571
All-Americans	0.0520742
Alumni	0.0519156
valedictorian	0.0519003
"school teacher"	0.0515794
apprentice	0.0515787
firefighter	0.0515687
golfer	0.0515476
chaplain	0.0515282
mentor	0.0514412
"police sergeant"	0.0514237
"sports editor"	0.0513972
"baseball team"	0.0513597
scorer	0.0512222
"art director"	0.0512089
winemaker	0.051056
housekeeper	0.050969
educator	0.0508254
"altar boy"	0.0508111
cabinetmaker	0.0506864
"secret agent"	0.0506854
ecologist	0.0505504
"maintenance man"	0.0505485
"good person"	0.0505388
surgeon	0.0505175
"state senator"	0.0505145
"hockey team"	0.0504478
scout	0.050372
preacher	0.0502599
sociologist	0.0502444
"ice hockey"	0.0501889
nurse	0.0499801
veterinarian	0.0499686
psychiatrist	0.0499554
"Black Panther"	0.0499431
softball	0.0499118
All-America	0.0498392
caddie	0.0497855
"tennis player"	0.0497747
neurosurgeon	0.0497585
electrician	0.0497109
archaeologist	0.0497018
"science teacher"	0.0496335
"chief executive officer"	0.0495086
handyman	0.0494836
alum	0.0494377
"school of law"	0.0493162
chef	0.048834
lacrosse	0.048816
treasurer	0.0487483
accountant	0.0485163
salesman	0.0485092
weatherman	0.0485082
"jazz musician"	0.0484922
anthropologist	0.0484454
"security guard"	0.0484184
freshmen	0.0481713
sommelier	0.0480973
violinist	0.048093
GM	0.048092
"commander in chief"	0.0480177
waitress	0.0479701
player-coach	0.0479345
mailman	0.0478923
pro	0.0478176
pallbearer	0.0478136
Kicker	0.0478084
"black man"	0.0477399
roommate	0.0477381
signees	0.0476309
"public servant"	0.0474136
referee	0.0472505
fisherman	0.0471819
sprinter	0.0471173
sportswriter	0.0470613
"disc jockey"	0.0469466
businessman	0.0469001
banker	0.0468235
photographer	0.0467702
schoolteacher	0.0467414
rabbi	0.0467069
gymnast	0.0465116
"registered nurse"	0.0464924
caretaker	0.0464637
"interior designer"	0.0463853
Programmer	0.046338
cartoonist	0.0462447
supervisor	0.0462241
recruiter	0.0461904
"ballet dancer"	0.0461165
"basketball league"	0.0460765
))
("basketball court" (desc 9367.28) (sims
"tennis court"	0.166342
"football field"	0.12415
"golf course"	0.104259
"skating rink"	0.101565
"ice rink"	0.101422
"swimming pool"	0.0994394
"dance floor"	0.0969992
"putting green"	0.0909832
gymnasium	0.0839983
"baseball diamond"	0.0827768
"ball field"	0.079913
playground	0.0758819
"driving range"	0.0746602
gym	0.073323
gymnasiums	0.0718414
"bowling alley"	0.0718043
rink	0.0702732
"game room"	0.069301
racetrack	0.0657705
patio	0.0651445
"athletic field"	0.0646501
"shooting range"	0.0620864
"dance hall"	0.0614741
walkway	0.0596449
"movie theater"	0.0593282
sauna	0.0588025
sidewalk	0.0584676
SPA	0.0582474
"Centre Court"	0.0576674
"street corner"	0.0571688
Mound	0.0564035
"reading room"	0.055562
"miniature golf"	0.0552112
"exhibition hall"	0.0551935
Jacuzzi	0.0551539
pond	0.0549072
goalpost	0.054498
spas	0.0544637
ballroom	0.0541012
"playing field"	0.0534472
"picnic area"	0.0534323
"LPGA Tour"	0.0528
"city block"	0.0525363
"dining room"	0.0524692
"parking lot"	0.0518318
"pool table"	0.0517955
"exhibition area"	0.0514864
"exercise equipment"	0.0512301
oval	0.0511698
garage	0.0509366
terrace	0.0508983
deck	0.0507896
Cabana	0.0506829
volleyball	0.0506239
treadmill	0.0502809
"dining area"	0.0501672
"video screen"	0.049777
playroom	0.0496283
lawn	0.0493808
cistern	0.0488504
waterfall	0.0480079
cafeteria	0.0478827
arcade	0.0477842
"coffee table"	0.0471515
latrine	0.0468433
"PGA Tour"	0.0463265
podium	0.0462246
dispensary	0.0459944
"community center"	0.0459402
"bomb shelter"	0.0458566
"shopping center"	0.0458298
Spillway	0.0456176
atrium	0.0455658
"telephone pole"	0.0455623
seawall	0.0454326
stump	0.0453954
Bathhouse	0.0451014
battlefield	0.0450688
"wine cellar"	0.044758
courtyard	0.0447549
"Center Court"	0.0445899
plaza	0.0441949
"parking area"	0.0441406
softball	0.0440938
porch	0.0439572
"computer screen"	0.0436507
pavement	0.0433518
"beauty salon"	0.0431984
bathroom	0.0429768
hut	0.0428643
mall	0.0427573
"entertainment center"	0.0427092
dormitory	0.0426349
"Boston Common"	0.0425777
"day camp"	0.042463
driveway	0.0423636
cafe	0.0422805
"Senior Tour"	0.0421617
perimeter	0.0419143
"conference center"	0.0419046
Stretcher	0.0418003
canteen	0.0417054
outhouse	0.0415684
"dirt track"	0.0413676
"rest room"	0.041357
Marina	0.0412583
greenhouse	0.0410056
"pitcher's mound"	0.0407817
"recreational facility"	0.0406777
"football stadium"	0.0405471
hardcourts	0.0404205
"convenience store"	0.0402835
"living room"	0.0402425
"shopping mall"	0.0401904
outbuilding	0.0401652
"eighth day"	0.04008
roadway	0.040077
"basketball game"	0.0400331
silo	0.0400135
))
("basketball game" (desc 16034.7) (sims
"baseball game"	0.173516
"hockey game"	0.160326
"playoff game"	0.12453
"basketball team"	0.116229
"exhibition game"	0.112363
"softball game"	0.109674
"home game"	0.103503
"basketball season"	0.102857
basketball	0.102731
scrimmage	0.0958651
"ball game"	0.0958335
opener	0.0902677
ballgames	0.087108
concert	0.0861346
"road game"	0.0847613
"night game"	0.0836986
hockey	0.0829634
"wrestling match"	0.0825101
"basketball player"	0.0808857
"All-Star Game"	0.0799755
"football season"	0.0768459
"boxing match"	0.076689
volleyball	0.0750487
"basketball league"	0.0745167
doubleheader	0.0740266
contest	0.0732678
"basketball coach"	0.0725286
tournament	0.0715726
"Super Bowl"	0.0713355
"NBA Finals"	0.0711994
"football team"	0.0709068
ballgame	0.0702762
"round of golf"	0.0696766
softball	0.0695527
"World Series"	0.0690408
"baseball team"	0.0689807
"rock concert"	0.0689458
"big game"	0.0680756
semifinal	0.0680401
matchup	0.0674357
"Fiesta Bowl"	0.0673334
football	0.0672608
Telecast	0.0664621
lacrosse	0.0655033
"Game @"	0.0649934
"track meet"	0.0645904
"professional basketball"	0.0644639
"horse race"	0.0644201
finale	0.0639664
"open house"	0.0637254
"cup final"	0.0636705
"College World Series"	0.063424
workout	0.0632901
reunion	0.0631422
golf	0.0630227
soccer	0.0621887
recital	0.0611679
matchups	0.060855
"Final Fours"	0.0603676
matinee	0.0600354
playoff	0.0600297
game.	0.0598234
showdown	0.059613
"baseball player"	0.0595438
"practice session"	0.0592728
"summer camp"	0.0587389
"ski race"	0.0587158
tennis	0.0583705
bout	0.0580934
"news event"	0.0579228
"day game"	0.0577254
wrestling	0.0575794
"jam session"	0.0575496
dinner	0.0575147
"hockey team"	0.0572266
"church service"	0.0571881
"ice hockey"	0.0571676
festivity	0.0570667
"town meeting"	0.0570292
matches	0.0569723
"Grammy Awards"	0.056868
"Ryder Cups"	0.0566914
"football coach"	0.0566249
"hockey player"	0.0558256
"volleyball player"	0.0555202
"Super Bowls"	0.0554469
preseason	0.0554212
gala	0.0553101
gig	0.0552084
"football player"	0.055162
"NCAA Tournament"	0.0551187
athletics	0.0550572
Rugby	0.0549585
"water polo"	0.0549484
"Ryder Cup"	0.0549357
"news conference"	0.0549123
prom	0.0548081
match-up	0.0546868
Exhibition	0.0544796
"baseball season"	0.0541871
quarterfinal	0.0540109
semi	0.0539499
Gymnastics	0.0537196
pageant	0.0536698
fund-raiser	0.0536059
regular-season	0.0534903
banquet	0.0533776
tourney	0.0531772
"Super Bowl XXXIII"	0.0531089
"Rose Bowl"	0.0530972
rematch	0.0530398
"poker game"	0.0528534
hoop	0.0528363
barbecue	0.0528352
"field hockey"	0.0526917
"All-Star Games"	0.0526243
"spring training"	0.0525334
postseason	0.0523128
celebration	0.051985
wedding	0.0516285
"Academy Awards"	0.0515257
luncheon	0.0514553
"Cotton Bowl"	0.0511262
rainout	0.0508103
faceoffs	0.0507707
outing	0.0504882
"sugar bowl"	0.050468
graduation	0.0497447
"board meeting"	0.0497009
Olympics	0.0494516
"ball club"	0.0493134
"card game"	0.0491569
"coaching job"	0.0488301
"Little League World Series"	0.048505
gym	0.0484864
tryout	0.0484142
gathering	0.0484033
"U.S. Open"	0.0483351
weigh-in	0.0483206
premiere	0.0482962
regionals	0.048089
picnic	0.0479495
handball	0.0478951
"World Cup"	0.0477856
games.	0.0477451
"Stanley Cup Finals"	0.047675
brunch	0.0476681
swimming	0.0476148
"theatrical performance"	0.0475148
"dinner party"	0.0474126
chess	0.0473383
"press conference"	0.0472702
"cocktail party"	0.0471703
"Emmy Awards"	0.0471527
qualifier	0.0470523
lecture	0.0470226
rehearsal	0.0469876
"World Cups"	0.0467505
Bingo	0.0467425
altercation	0.046664
"Night Football"	0.0466444
"Pro Bowls"	0.0465485
duel	0.0462876
clincher	0.0462344
Derby	0.0462069
"get together"	0.0461586
"tennis player"	0.0460429
rodeo	0.045974
"test match"	0.0459653
marathon	0.0459331
audition	0.0459128
blowout	0.045897
downhill	0.045554
freshman	0.0454952
"relay race"	0.0452527
screening	0.0451688
minicamp	0.045037
All-Americans	0.0449292
men's	0.044823
give-and-take	0.0447992
"figure skating"	0.044693
"Super Bowl XXXIV"	0.044625
taping	0.0444726
"cup tie"	0.0444122
"Indy @@@"	0.0442853
"Game @."	0.0440923
jamboree	0.043789
grad	0.0437538
"track star"	0.0436796
reunions	0.043668
"art exhibition"	0.0434792
melee	0.0434482
"football stadium"	0.0433075
nit	0.0431819
"Orange Bowl"	0.0429012
"locker room"	0.0428701
"Thomas Cup"	0.0427656
tuneup	0.0426973
singles	0.0425709
"dramatic event"	0.0425654
))
("basketball league" (desc 4763.02) (sims
"Chinese Basketball League"	0.30351
"National Invitation Tournament"	0.13875
"football league"	0.135676
"Libertadores Cup"	0.129683
EuroLeague	0.120688
"field hockey"	0.112709
cager	0.105441
"English Premier League"	0.104572
"Champions Cup"	0.103296
"League Cup"	0.103102
tourney	0.102088
"Champions League"	0.0993717
volleyball	0.0983059
"Basketball Championship"	0.0978993
"Thomas Cup"	0.0976128
"National Basketball Association"	0.0972576
"Little League World Series"	0.0969171
"Volleyball Grand Prix"	0.0965846
"European Champions League"	0.0963271
"Volleyball Championship"	0.0955113
"African Nations Cup"	0.0946417
"European Cup"	0.0930043
"Swiss Open"	0.0917261
"Midwest Regional"	0.0915393
soccer	0.0905789
WNBA	0.0901514
"ice hockey"	0.0900373
lacrosse	0.0897299
Bundesliga	0.0881447
epee	0.0876678
under-@@	0.0863976
"Uber Cup"	0.0852181
"Stockholm Open"	0.0826049
"round robin"	0.0823485
"Fed Cup"	0.0817548
"Davis Cup World Group"	0.0815546
"European Championship"	0.0810254
"test-tube baby"	0.0808887
"World University Games"	0.0803528
"Premier League"	0.080164
"Federation Cup"	0.0797388
"Canadian Open"	0.07947
"Hamlet Cup"	0.0793472
"Euro @@@@"	0.0792266
"World Group"	0.0786326
"Confederations Cup"	0.0785218
"Kremlin Cup"	0.0785178
"South Regional"	0.0785062
triathlon	0.0783746
"basketball season"	0.078044
"American Hockey League"	0.0775661
"NCAA Tournament"	0.0772655
"Wimbledon Tennis Championships"	0.0769887
"Grand Slam Cup"	0.0766952
"European Champions Cup"	0.0766201
"Lipton Championships"	0.0760954
"European Swimming Championships"	0.0759552
"UEFA Cup"	0.0759073
"Paris Open"	0.075828
Serie	0.0757108
"Japan Open"	0.0755698
nit	0.0746086
"water polo"	0.0745235
"chess player"	0.0745229
"basketball game"	0.0745167
"tennis player"	0.0731762
ABL	0.0726677
"Western Open"	0.0720869
"cup final"	0.0720605
"Sudirman Cup"	0.0720546
"West Regional"	0.07189
"Western Athletic Conference"	0.0714942
"Italian Open"	0.0714548
shipbuilder	0.0713833
Basle	0.0713523
"FA Cup"	0.0709133
"Italian League"	0.0708886
"European Championships"	0.0703053
"basketball team"	0.0699925
"German Open"	0.0699745
"English Football Association"	0.0692561
"table tennis"	0.068684
"Davis Cup"	0.0686398
scull	0.0686323
AHL	0.0682269
"Copa America"	0.0681164
footballer	0.0678329
"volleyball player"	0.0675609
"Louis Vuitton Cup"	0.0673416
"Pan American Games"	0.0668647
"Hao Haidong"	0.0667864
tennis	0.0662112
"Crystal Palace"	0.0660898
"NFC East"	0.065915
"Indy Racing League"	0.0654522
"AFC West"	0.0651716
"AFC Central"	0.0648046
Rugby	0.0647104
"ball club"	0.0646641
biathlon	0.0646316
ml	0.0638919
pentathlon	0.0633756
cycling	0.0629577
"hockey team"	0.0628072
"World Youth Games"	0.0627595
quarterfinal	0.0626554
skeet	0.0622728
"American Basketball League"	0.0621771
"French Open"	0.0621113
"Commonwealth Games"	0.0620662
"College World Series"	0.0620335
"Southeast Asian Games"	0.061911
"figure skating"	0.0618731
badminton	0.0618154
Kitzbuehel	0.0615067
relegation	0.0614111
"cross country"	0.0611117
"Super League"	0.060645
Super-G	0.0604282
Charleroi	0.0601867
athletics	0.0601304
Gymnastics	0.0600676
"baseball team"	0.0600321
"ATP Tour"	0.0600016
"National Hockey League"	0.0599203
handball	0.0598582
"Continental Basketball Association"	0.0597704
Salernitana	0.0597478
regionals	0.059519
weightlifting	0.0594355
men's	0.059425
bodybuilding	0.0593741
"football team"	0.0593666
"Italian Cup"	0.0593432
"East Regional"	0.059339
"Acura Classic"	0.0590435
"baseball league"	0.0589205
"hockey game"	0.0588184
foursome	0.058756
"Grand Prix"	0.058756
CWS	0.0586593
"Conference USA"	0.0585215
"Group @"	0.058438
Filderstadt	0.0582238
"National Football League"	0.058144
skiing	0.0581366
"stroke play"	0.0580768
"New York City Marathon"	0.05801
CBA	0.0577954
slalom	0.0577838
backstroke	0.0577575
"Gold Cup"	0.0576083
marathoner	0.0574679
"NBA Finals"	0.0571367
"Southeastern Conference"	0.0570573
"American League East"	0.0568811
"Hong Kong Open"	0.0564933
"ATP Tour World Championship"	0.0564619
"British Open"	0.0563352
"ballet company"	0.0561323
"Big Sky Conference"	0.0558544
Halle	0.055683
"U.S. Open"	0.0556108
"World Basketball Championship"	0.0555866
softball	0.0554914
"National League Central"	0.0554373
"track and field"	0.0553169
"African Cup"	0.0551554
"London Marathon"	0.0550216
"U.S. Senior Open"	0.0550063
"Wang Zhizhi"	0.0550006
"National League East"	0.0549758
"St Petersburg"	0.0548823
"Maurier Open"	0.054835
"Atlantic Coast Conference"	0.0547881
"baseball game"	0.0547259
"San Sebastian"	0.0547208
"ski jumping"	0.0547106
"Chase Championships"	0.0546122
"Asian Games"	0.0543357
"Asian Cup"	0.0540854
"futures exchange"	0.0538783
"WTA Tour"	0.0538555
"Division @"	0.0538082
"professional basketball"	0.0537866
"Australian Open"	0.0536025
"basketball player"	0.0534243
downhill	0.053409
"relay race"	0.0533766
"Division I-AA"	0.0531953
"Eastern Conference"	0.0530886
"National League West"	0.0530273
"Hopman Cup"	0.0530166
"American Football League"	0.0529275
medley	0.052898
XFL	0.052879
"insurance market"	0.0527715
"Big East"	0.0526045
"US Open"	0.0525902
"hockey coach"	0.0525578
))
("basketball player" (desc 24764.9) (sims
"football player"	0.190118
"baseball player"	0.157274
athlete	0.135323
"tennis player"	0.123954
"hockey player"	0.122701
"basketball team"	0.113407
player	0.111279
swimmer	0.1103
golfer	0.106536
basketball	0.105403
"football coach"	0.104449
"basketball coach"	0.103101
wrestler	0.102328
"volleyball player"	0.0994971
sprinter	0.0982415
sophomore	0.0973405
weightlifter	0.0960194
ballplayer	0.0949444
gymnast	0.0924884
freshman	0.0924858
star	0.0922897
All-Americans	0.0858148
boxer	0.082996
junior	0.0829188
"chess player"	0.0822334
"running back"	0.0819143
quarterback	0.0818097
"football team"	0.0816664
"basketball game"	0.0808857
freshmen	0.0806629
shooter	0.0803449
All-American	0.079465
guard	0.0794383
"good person"	0.0793879
teammate	0.0775228
entertainer	0.0758365
skater	0.0751711
rower	0.0741515
cheerleader	0.0741472
racer	0.0739983
senior	0.0738555
scorer	0.0738135
violinist	0.0737097
musician	0.0734937
"baseball coach"	0.0734835
student-athletes	0.0730154
performer	0.072973
lineman	0.0715659
linebacker	0.0715461
runner	0.0712692
student	0.071042
superstar	0.0706297
actor	0.0706032
Olympian	0.07051
pitcher	0.0704756
dancer	0.0701788
walk-on	0.0699397
"Rhodes Scholar"	0.0698358
marathoner	0.0697823
jockey	0.069054
cyclist	0.0681774
Kicker	0.0680182
pianist	0.0677371
"English teacher"	0.0675605
"track star"	0.0675456
passer	0.0671243
tailback	0.067107
artist	0.066787
miler	0.0663414
footballer	0.0662824
receiver	0.0662545
graduate	0.0660552
teacher	0.0651531
"baseball team"	0.0650948
linemen	0.0650679
standout	0.0650659
alumnus	0.0642563
painter	0.0641069
thrower	0.0639078
debater	0.0636912
"movie star"	0.0636268
kid	0.0635192
"public speaker"	0.0629701
singer	0.0626865
bodybuilder	0.0624315
lifter	0.0623558
guy	0.0622982
punter	0.0622172
"major leaguer"	0.0614423
football	0.0612859
person	0.0611452
goalie	0.0609598
cartoonist	0.060736
vocalist	0.0606192
filmmaker	0.0605907
sailor	0.0605016
writer	0.0604699
skier	0.0603348
journalist	0.0601908
songwriter	0.0601474
conductor	0.0600195
"role model"	0.0600049
thinker	0.0597821
hurdler	0.059731
diver	0.05951
assistant	0.0593117
rider	0.0592113
Sportsman	0.0591716
entrepreneur	0.0591249
actress	0.0590642
rebounder	0.0589592
ballerina	0.0589501
"hockey team"	0.0587764
chef	0.0586097
"role player"	0.0584295
shuttlers	0.0583923
novelist	0.058207
jock	0.0581651
playmaker	0.0580684
catcher	0.0580226
grad	0.0579619
"black woman"	0.0579086
"human being"	0.0575561
businessman	0.0573301
photographer	0.0572462
"tight end"	0.057184
rookie	0.0571763
composer	0.0570472
"graduate student"	0.0569912
"young man"	0.0568894
"jazz musician"	0.0568611
"Michael Jordan"	0.0567865
broadcaster	0.05661
Amateur	0.0564632
pro	0.0563349
orator	0.0562609
trainer	0.0560812
softball	0.0560789
All-America	0.0560247
All-Star	0.0559998
goalkeeper	0.0559984
hockey	0.0559431
"ballet dancer"	0.0557801
scout	0.0557476
astronaut	0.0556613
boy	0.0556579
"college student"	0.0555454
poet	0.0554347
cadet	0.0553985
"law student"	0.0552347
scholar	0.0552092
heavyweight	0.0551749
physicist	0.0550496
"character actor"	0.0549529
"investment banker"	0.0545718
professor	0.0545677
outfielder	0.0545399
veteran	0.054532
comedian	0.0544555
teen-ager	0.0544335
"free agent"	0.0544163
starter	0.0543987
hero	0.0541505
driver	0.0540831
slugger	0.0539842
mathematician	0.0539322
classmate	0.0539009
"faculty member"	0.0537633
educator	0.0537468
fighter	0.0537335
hitter	0.0535277
lefthander	0.0534727
"basketball league"	0.0534243
fullback	0.0533996
defensive	0.0533756
shortstop	0.0533164
pupil	0.0532447
doctor	0.0531826
lecturer	0.0531687
"coaching job"	0.0531494
recipient	0.053056
girl	0.0529791
sportswriter	0.0529614
"water polo"	0.0529287
sportscaster	0.0528949
Playwright	0.0528919
upperclassmen	0.0527565
cellist	0.0527418
professional	0.0525673
sculptor	0.0525052
"state senator"	0.0524306
"math teacher"	0.0523885
achiever	0.0521309
whiz	0.0520322
roommate	0.0519979
historian	0.051918
bartender	0.0518192
Congressman	0.0516705
"public servant"	0.0516627
preacher	0.0516542
))
("basketball season" (desc 1930.39) (sims
"football season"	0.26496
"baseball season"	0.220822
"growing season"	0.136272
"academic year"	0.125224
"school year"	0.116503
"exhibition season"	0.113239
"basketball game"	0.102857
"dry season"	0.10162
"fishing season"	0.0989565
semester	0.0968366
"hunting season"	0.0951424
workday	0.0945424
"Iran-Iraq War"	0.0932603
"rainy season"	0.0920249
intifada	0.0916492
"Lunar New Year"	0.0908512
"financial year"	0.0864699
"ski race"	0.0860861
"holiday season"	0.0857964
season.	0.0856463
preseason	0.0852358
"work day"	0.0842674
"Opium War"	0.0832663
"bear market"	0.0829573
"volleyball player"	0.0829208
"pass catcher"	0.081026
homestand	0.0801896
regionals	0.0790033
"Fashion Week"	0.0783603
"basketball league"	0.078044
coursework	0.0754534
"tour of duty"	0.074411
"calendar year"	0.0742772
"presidential term"	0.0742323
"three pitchers"	0.0739223
"Cultural Revolution"	0.0736937
"hockey game"	0.0733909
"ASEAN Ministerial Meeting"	0.0707242
two-a-days	0.0697983
"College World Series"	0.0694648
year.	0.0694616
polling	0.0694393
"Korean War"	0.0694372
"school day"	0.0693465
"Bull Run"	0.0686744
"basketball team"	0.0681217
"third millennium"	0.0670654
cager	0.0662729
fasting	0.065414
"bull market"	0.0651028
"ice hockey"	0.0645624
"business cycle"	0.0644558
"World Food Summit"	0.0643019
rulebook	0.0639624
"hockey team"	0.0637751
"working day"	0.0636733
"budget debate"	0.0628356
"basketball coach"	0.0627241
"coaching job"	0.0622553
"freshman class"	0.0621244
"ice age"	0.061961
winnowing	0.0612828
"Fourth Session"	0.0611868
"Ministerial Conference"	0.061086
"African Cup"	0.060811
"National Invitation Tournament"	0.0606947
"Millennium Summit"	0.060185
"cold snap"	0.0598584
colonization	0.0593323
windup	0.0591053
"term of office"	0.0587866
minicamp	0.0581134
season-opener	0.0578828
lobbying	0.0575387
spacewalk	0.0574314
unpleasantness	0.057404
"Joint Liaison Group"	0.0571325
"NCAA Tournament"	0.0571234
"Stanley Cup Finals"	0.0567232
"Gold Cup"	0.0565645
tourney	0.0564278
"hockey coach"	0.0563348
Oktoberfest	0.056252
triathlon	0.0560404
halfpipe	0.0559477
"Great War"	0.0558485
"final exam"	0.0555317
"track event"	0.0554123
regular-season	0.0547838
monsoon	0.0544854
IGC	0.0539818
odyssey	0.0538995
"hockey player"	0.0538774
All-Americans	0.0535813
"labor dispute"	0.0535788
"wrestling match"	0.0535784
"commencement ceremony"	0.0535379
skeet	0.0535105
softball	0.0535067
papacy	0.0534089
Ramadan	0.0529312
headcount	0.0527406
"personnel department"	0.0527265
"gold rush"	0.0527085
"Memorial Day"	0.052626
"trading session"	0.0524838
"waiting game"	0.0521321
by-elections	0.0520672
"Tour de France"	0.0520626
one-upmanship	0.0518663
countdown	0.051824
nuptials	0.051603
"nuclear family"	0.0514751
xxx	0.0514103
"Department of Motor Vehicles"	0.0513051
"preparatory school"	0.0512865
"World Basketball Championship"	0.0509021
"Tony Graziani"	0.0508329
doubleheader	0.050775
miler	0.0507451
"love affair"	0.0507403
"car door"	0.0507026
"Jewish Sabbath"	0.0507025
counting	0.0506438
preventive	0.0505216
rationing	0.0505105
monthlong	0.0505054
Quad	0.0504957
"jazz band"	0.0504454
"two pitchers"	0.0502261
Series.	0.0502081
lacrosse	0.0498927
"baseball coach"	0.0498315
Godot	0.0498063
epoch	0.0497008
chum	0.0495565
"hammer throw"	0.0493876
"tennis player"	0.0492914
flowering	0.049262
"wedding party"	0.0491783
"Arab-Israeli War"	0.0491609
"UEFA Cup"	0.0490543
"CAC @@"	0.048799
freefall	0.0487634
"first eight"	0.0487174
"Space Cowboys"	0.048674
"five spot"	0.0485581
"International AIDS Conference"	0.0485554
"Negro Leagues"	0.0484621
misadventure	0.0484094
game.	0.0483403
"NBA Finals"	0.048309
rebounders	0.0482476
"baseball club"	0.0480344
"Ryan Kealy"	0.0479137
"Round @"	0.047911
INTERFET	0.0477048
quarterfinalists	0.0476162
All-stars	0.0473648
Passover	0.0472999
"Division Series"	0.0472381
processional	0.0472306
"bus line"	0.047201
nine-day	0.0471539
"poker game"	0.0470073
hibernation	0.0469597
"Big Sky Conference"	0.0469008
bodybuilding	0.0467856
"relay race"	0.0467547
"World Conference"	0.046741
mini-camp	0.046724
"Long March"	0.0467189
"church service"	0.0466239
bloodiest	0.0466048
"Atlanta Olympic Games"	0.0466042
brawler	0.0465983
pentathlon	0.0465749
"shot put"	0.0464852
"Chinese New Year"	0.0464378
"Passion play"	0.0463162
"nervous breakdown"	0.0462337
"boat race"	0.0461926
zinger	0.0461917
Criterium	0.04602
"Holy Year"	0.0460088
"industrial revolution"	0.0457951
"second grade"	0.0457082
"Confederations Cup"	0.0456886
"final period"	0.0453999
"proxy fight"	0.0453908
epee	0.04534
"South Summit"	0.0451456
harangue	0.0451215
rehab	0.0450871
WNBA	0.0450504
"Asia-Europe Meeting"	0.045036
"Republican National Convention"	0.0449832
"suspension bridge"	0.044846
playmakers	0.0447057
"computer store"	0.0446245
))
("basketball team" (desc 26189.6) (sims
"football team"	0.213099
"baseball team"	0.17808
"hockey team"	0.157638
team	0.126209
"basketball game"	0.116229
"basketball coach"	0.11614
"basketball player"	0.113407
squad	0.109832
basketball	0.10103
coach	0.0931186
"football player"	0.0881631
ballclub	0.0844981
Celtics	0.0839932
"Tar Heels"	0.0828799
"football coach"	0.0824967
"ball club"	0.0783978
hockey	0.0782004
softball	0.0764004
Lakers	0.075603
football	0.0754895
wildcat	0.0751762
"volleyball player"	0.0747987
team.	0.0718395
"Team USA"	0.0717803
roster	0.071669
"water polo"	0.0715482
"blue devil"	0.0714961
soccer	0.0713039
"New York Knicks"	0.071123
"Dream Team"	0.0703173
"hockey player"	0.0701895
husky	0.0699955
"basketball league"	0.0699925
bulldog	0.0695578
franchise	0.0693579
"baseball coach"	0.0691852
bruin	0.068854
athlete	0.068805
quarterback	0.0686662
"basketball season"	0.0681217
"baseball player"	0.0680857
"Chicago Bulls"	0.0676884
club	0.067604
standout	0.0669516
Knicks	0.0666823
"hockey game"	0.0656634
athletics	0.0649623
Cornhusker	0.0645709
volleyball	0.0642335
Gators	0.0641524
secondary	0.0639643
swimmer	0.0635004
"Nittany Lions"	0.063495
"Cincinnati Reds"	0.0634909
"coaching job"	0.063182
"tennis player"	0.0624844
lacrosse	0.0624402
"Boston Celtics"	0.0622939
matador	0.0622257
campus	0.0620488
"Miami Heat"	0.0620473
"Montreal Canadiens"	0.0614047
"Los Angeles Galaxy"	0.0612787
"ice hockey"	0.0612219
Canadiens	0.0611622
Giants	0.0609709
"Charlotte Hornets"	0.0608255
Sonics	0.0607465
"football season"	0.0605325
brave	0.0605054
USC	0.0604441
"Houston Rockets"	0.0600557
pacer	0.0599977
Seahawks	0.0598688
offense	0.0597651
"Indiana Pacers"	0.0597024
Hornet	0.0595087
linebacker	0.0593708
baseball	0.0593474
teammate	0.0593176
TCU	0.0591922
"board of trustees"	0.0591899
MetroStars	0.0591738
Boilermakers	0.0591651
tennis	0.0588435
cowboy	0.0588379
"Phoenix Suns"	0.05856
"Atlanta Hawks"	0.0585095
UCLA	0.0584115
Vols	0.0583603
"Portland Trail Blazers"	0.0583221
Defense	0.0583208
oiler	0.0582358
"Los Angeles Kings"	0.0581834
Aggies	0.0579916
men's	0.0578877
Seminoles	0.057833
"Washington Wizards"	0.0577813
Timberwolves	0.0577589
"Ohio State"	0.0576597
BEARS	0.0575706
"New York Giants"	0.0575057
buckeye	0.057313
"Atlanta Braves"	0.0573025
Viking	0.0572527
cardinal	0.0571713
maverick	0.0570142
"ATLANTA FALCONS"	0.0568547
"New York Jets"	0.0565564
"Los Angeles Lakers"	0.0564328
sprinter	0.0564215
spikers	0.0563246
"running game"	0.0562216
"New York Yankees"	0.0561721
"Green Bay Packers"	0.0560373
"Red Sox"	0.0560217
Mets	0.0559384
Spartan	0.0559173
falcon	0.0559142
ranger	0.0559088
shuttlers	0.0559074
Yankee	0.0558822
freshman	0.055845
"Denver Broncos"	0.0558315
bronco	0.0557013
Gonzaga	0.0556619
ASTROS	0.0555455
league	0.0554685
cager	0.0552715
"Detroit Red Wings"	0.0551451
"San Francisco @@ers"	0.0550706
"Florida State"	0.0549594
"Seattle Seahawks"	0.0548537
grad	0.0548291
sophomore	0.0547891
"Crimson Tide"	0.0547558
"running back"	0.0546529
"Michigan State"	0.0545605
sabre	0.0544789
"San Antonio Spurs"	0.0543779
scorer	0.0542175
bull	0.0541869
devil	0.0541817
"New Jersey Nets"	0.0540994
clipper	0.0539708
Blackhawks	0.0539436
"Dallas Cowboys"	0.0539336
"Minnesota Vikings"	0.053846
senior	0.0538399
Duke	0.0538258
"Brooklyn Dodgers"	0.0537851
"field hockey"	0.053698
"San Diego Padres"	0.053694
"Maple Leafs"	0.053664
patriot	0.0536519
"school of law"	0.0534903
"New England Patriots"	0.0533761
freshmen	0.0533425
"senior class"	0.0532188
Trojan	0.0532004
skater	0.0531888
Rugby	0.0529956
Huskers	0.0528632
"Cleveland Browns"	0.0526502
dodger	0.0524896
"Golden State Warriors"	0.0523766
gymnast	0.0521917
mariner	0.0521567
"Detroit Tigers"	0.0519628
hawk	0.0519156
"Dallas Stars"	0.051848
raider	0.051811
guard	0.0517403
tailback	0.0516364
receiver	0.051627
"Houston Astros"	0.0515875
Pepperdine	0.051495
Padre	0.051297
bench	0.0512808
"Buffalo Bills"	0.0512747
Orioles	0.051265
golf	0.0511706
backcourt	0.0511413
Inter	0.0511338
Hoosier	0.051013
wrestler	0.0509563
rower	0.0508318
"Cleveland Indians"	0.0507512
"Utah Jazz"	0.0507214
"Dallas Mavericks"	0.0506731
"Los Angeles Dodgers"	0.0506536
"Red Wings"	0.0506296
"Minnesota Twins"	0.0505215
wrestling	0.0504948
boxer	0.0501002
gamecock	0.0500107
ballplayer	0.0499002
"D.C. United"	0.0497908
"first team"	0.0497397
Mavs	0.049711
))
(Basle (desc 1469.28) (sims
Lugano	0.254277
Lucerne	0.225501
BASEL	0.221051
Filderstadt	0.214391
Trondheim	0.209769
Linz	0.184291
Kitzbuehel	0.183783
Duesseldorf	0.181106
"San Sebastian"	0.180846
"St Petersburg"	0.178928
Gothenburg	0.161561
BRATISLAVA	0.160668
Asuncion	0.160181
Dusseldorf	0.159757
"Stockholm Open"	0.159748
Halle	0.153687
Nagoya	0.153052
Carlsbad	0.152714
Ipoh	0.152487
Malmo	0.152234
Madras	0.150122
Adelaide	0.148593
"Bandar Seri Begawan"	0.147582
"Key Biscayne"	0.147561
Eindhoven	0.146391
Hobart	0.146184
Fukuoka	0.146182
Denpasar	0.144179
Lausanne	0.141218
Bremen	0.141064
PALERMO	0.135802
Essen	0.135715
"European Swimming Championships"	0.135226
Stuttgart	0.134942
"CHIANG MAI"	0.132654
Berne	0.132469
Plata	0.130984
Heerenveen	0.130642
Bormio	0.12995
Antwerp	0.129378
Chiba	0.129194
"Wimbledon Tennis Championships"	0.129042
Zurich	0.129017
"Chinese Basketball League"	0.128104
Bern	0.127496
Goteborg	0.126921
Sapporo	0.126711
Brisbane	0.126272
Rotterdam	0.124757
Hannover	0.124536
Eastbourne	0.124117
"PETALING JAYA"	0.123821
Leipzig	0.123406
"Hilton Head"	0.122781
Doha	0.122388
Rostock	0.121919
"World Team Cup"	0.121633
Perth	0.121257
Davos	0.120427
"Gold Coast"	0.119184
Sestriere	0.11859
Strasbourg	0.117977
Utrecht	0.117922
Catania	0.117445
Vladikavkaz	0.117441
Kuching	0.117206
Cardiff	0.116654
Hakuba	0.116618
Langkawi	0.116206
Engelberg	0.115999
Imola	0.115608
"Indian Wells"	0.115191
Hanover	0.112413
"Swiss Open"	0.110645
Hamburg	0.110557
Durban	0.109538
Nantes	0.108692
Munich	0.108086
Krasnoyarsk	0.107644
Muscat	0.107042
Osaka	0.106859
Tashkent	0.105604
Gelsenkirchen	0.105339
Chisinau	0.105109
Tapachula	0.105027
"Melbourne Park"	0.104594
Toulon	0.104228
"Michael Von Gruenigen"	0.104073
"Egyptian capital"	0.103926
Calcutta	0.103049
MELBOURNE	0.101785
Ljubljana	0.101746
Eilat	0.101509
Copenhagen	0.101265
Klagenfurt	0.10061
Surabaya	0.100324
"Kremlin Cup"	0.100298
Yokohama	0.100264
Montpellier	0.0999401
Maastricht	0.0998649
Christchurch	0.0990397
"Volleyball Grand Prix"	0.0988768
"ATP Tour World Championship"	0.0988411
Jeddah	0.0987902
Yogyakarta	0.0984275
Pattaya	0.0982868
Sheffield	0.0972476
Lyon	0.0965336
"Turkish Daily News"	0.0959665
Kobe	0.0958789
Windhoek	0.0957132
Auckland	0.0953238
"International Badminton Federation"	0.0952919
Falun	0.095103
Monaco	0.0950564
Valletta	0.0948044
Merida	0.0946654
Lahti	0.0945371
Vitoria	0.0930125
Malaga	0.0926593
Saint-Denis	0.0923149
Birmingham	0.0921603
"Hopman Cup"	0.0919193
Nago	0.0918259
Riyadh	0.0915396
"Port Elizabeth"	0.09131
Charleroi	0.0907049
Glasgow	0.0904877
Rabat	0.0903149
Dortmund	0.0899405
Innsbruck	0.0898449
"Lipton Championships"	0.0896796
Seville	0.0894641
"La Paz"	0.0894292
Minsk	0.0893813
Gdansk	0.0890236
Genoa	0.0885636
Khost	0.0883015
Lillehammer	0.0880407
Ashkhabad	0.0876463
Arusha	0.0874564
Lucknow	0.0874479
MANAMA	0.0870564
Toulouse	0.0870406
Entebbe	0.0866642
Cartagena	0.0866455
Sirte	0.0866266
Madrid	0.0864659
Alma-Ata	0.0859801
Calgary	0.085571
Chamonix	0.0854886
"Paris Open"	0.0850147
Pretoria	0.0846034
"Monte Carlo"	0.0844852
"Secretary General Esmat Abdel-Meguid"	0.0843669
Casablanca	0.0841725
"San Pedro Sula"	0.0841604
Dakar	0.0841566
Bari	0.0837777
Dearborn	0.0829699
"Manhattan Beach"	0.0828895
"English Football Association"	0.0828662
Nagano	0.0826361
Cologne	0.0824502
"Philippine Stock Exchange"	0.0824311
Gaborone	0.08229
Yerevan	0.0822405
Helsinki	0.0819158
Belfast	0.0817989
"East Orange"	0.0816573
"State Bank of Pakistan"	0.081641
Yaounde	0.0813741
Oslo	0.0811834
Karlsruhe	0.0806139
Suzuka	0.0800489
Lecce	0.0798834
"Sierra Nevada"	0.0798288
"Miami Fusion"	0.0795886
"St. Petersburg"	0.0791467
Kyoto	0.0788307
Guadalajara	0.0787898
Marseille	0.0787465
Dushanbe	0.0786612
Mallorca	0.0786183
"Ho Chi Minh City"	0.0785848
Porto	0.0782891
"Quebec City"	0.0782634
Bulawayo	0.0781743
Bologna	0.0780827
"ALMA ATA"	0.0780007
Kigali	0.0779041
Cebu	0.0772359
Verona	0.0771121
Guayaquil	0.0766789
Karachi	0.0766662
Kandahar	0.0766537
"skiing race"	0.0766012
"Villa Park"	0.0764248
"Israeli Cabinet"	0.0760747
"ATP Championship"	0.0758533
))
(BASQUE (desc 4619.28) (sims
Kurdish	0.229129
Breton	0.200311
Catalan	0.17708
Kashmiri	0.169876
"Northern Irish"	0.160334
Montenegrin	0.152049
"Kosovo Albanian"	0.150302
Abkhazian	0.14341
Chechen	0.140969
"Ethnic Albanian"	0.136365
Latvian	0.135243
Kosovar	0.125135
Berber	0.115481
"Puerto Rican"	0.114036
Islamist	0.113154
"Kosovar Albanian"	0.109438
Zairian	0.109235
Kurd	0.107579
Maoist	0.103135
"Shiite Muslim"	0.0989776
Scottish	0.0987122
Ecuadorean	0.098449
Moro	0.0981216
"Middle Eastern"	0.0977118
Zulu	0.0975273
"Bosnian Serb"	0.0945717
Timorese	0.0939355
Ukrainian	0.0935008
Okinawan	0.0912376
Slovak	0.0893594
Lithuanian	0.089119
Azeri	0.0874324
Tajik	0.0858397
Ingush	0.0854512
hardline	0.0852962
Irish	0.0850616
Ivorian	0.0842871
Tibetan	0.0842039
"West African"	0.083511
Armenian	0.0827455
Slavic	0.0827321
Sikh	0.0827067
Zapatista	0.0822955
"other eight"	0.0818206
pro-British	0.0817713
Hutu	0.0817233
"Israeli Arab"	0.0816612
"East Timorese"	0.0797755
Sandinista	0.0796277
Quebec	0.0793299
"Sri Lankan"	0.0782333
Belarusian	0.0780284
Hesse	0.0776931
Shiite	0.0776578
Sinhala	0.0767487
Croat	0.0758089
"Far Eastern"	0.0757057
Baltic	0.0753746
Ulster	0.0747873
Swedish	0.0747833
secessionist	0.0743663
"South Vietnamese"	0.0723873
Kyrgyz	0.0723809
Tigray	0.071991
Balkan	0.0719875
ETA	0.0719694
"Lower Saxony"	0.0718854
"Saudi Arabian"	0.0711468
Bengali	0.0707263
Flemish	0.0704283
Katanga	0.0703435
Estonian	0.070237
"Bosnian Croat"	0.0692597
Caprivi	0.0689386
Afrikaans	0.0686154
Kazak	0.0686082
"South Korean"	0.0686069
Azerbaijani	0.0684642
pro-Islamic	0.0684248
"other five"	0.0682907
"Sunni Muslim"	0.0681333
Portuguese	0.0679236
dovish	0.0678361
Bougainville	0.0674913
Forty-four	0.0672263
Welsh	0.0664654
Twelve	0.0664098
"Irish Catholic"	0.0663965
Philippine	0.0656898
Punjab	0.0655577
Maltese	0.0655404
Turkish	0.0654947
Tutsi	0.0649071
"Tamil Eelam"	0.0648973
Korean	0.0639768
Sindh	0.0638507
Moldovan	0.0633834
"left wing"	0.0630698
"North Maluku"	0.0629718
Italian-American	0.0627166
Danish	0.0624735
"Orthodox Jewish"	0.0622612
"other six"	0.062157
"other seven"	0.0619769
Thirty-two	0.0618282
"Christian Democrat"	0.0615535
Greek	0.0611407
"East Java"	0.0610481
"Other @@"	0.0607254
"East African"	0.0606359
Fourteen	0.0605187
Ijaw	0.060424
MRTA	0.060346
Inuit	0.0601006
FEDERALIST	0.0600565
Swahili	0.0600367
Yoruba	0.0599127
"Turkish Cypriot"	0.0598786
Amazonian	0.0593947
Thirty-four	0.0591947
Copperbelt	0.059091
Decani	0.0590307
pro-western	0.0587449
"more than ten"	0.0584966
"Eastern Cape"	0.0584706
Provencal	0.0580479
Ecuadoran	0.0579194
Interahamwe	0.0578779
"two key"	0.0578625
Israeli-Arab	0.0577699
Cuban-American	0.0576361
"South Asian"	0.0573209
"other nine"	0.0572257
Finnish	0.0569814
Arab-Israeli	0.0569783
"Nile Delta"	0.0566375
Banyamulenge	0.0564622
Uzbek	0.0561842
"another seven"	0.0557036
post-communist	0.0556288
Belarussian	0.0553613
Stalinist	0.0552365
coming-out	0.0551934
Khmer	0.0551169
Aceh	0.0551058
"North African"	0.0550569
Haicheng	0.0547638
"South Sulawesi"	0.0545883
"Costa Rican"	0.054509
Korean-American	0.0544374
Iroquois	0.0542314
"Western Cape"	0.0539562
"Western European"	0.0538455
"Sierra Leonean"	0.0538252
slain	0.0537417
Javanese	0.0536551
"Central American"	0.0535545
fundamentalist	0.053477
Navajo	0.0534673
"East German"	0.053265
Drenica	0.0530152
hardcore	0.0529494
Uygur	0.052921
Kazakh	0.0524167
"South African"	0.052213
"French Canadian"	0.0520028
Thirty-three	0.0516322
"Greek Cypriot"	0.0515235
"South American"	0.051386
Chiapas	0.051338
Maasai	0.0512823
"Rocky Mountain"	0.0510422
Eleven	0.0510044
"four key"	0.0509318
Aztec	0.0509183
ex-communist	0.0508282
ultranationalist	0.0504731
"Southeast Asian"	0.0503789
"West Kalimantan"	0.0503657
ragtag	0.0502325
"New South Wales"	0.0501394
"A few key"	0.050133
Chinese-American	0.0500769
"over @@@"	0.0500233
KwaZulu/Natal	0.0499256
loyalist	0.0497138
"right wing"	0.0496468
Antioquia	0.0495961
"Ulster Unionist"	0.0493985
BN	0.0491359
"Central Asian"	0.0491238
Maori	0.0490798
Sunni	0.0490363
Fifteen	0.0489844
Nineteen	0.0485024
"Latin American"	0.0484796
FALN	0.0484251
Batticaloa	0.0482485
"Polisario Front"	0.0481538
"North Korean"	0.0478618
))
(Basques (desc 1132.49) (sims
Quebecers	0.179632
Ecuadoreans	0.110941
"British people"	0.0999871
Chinese-Indonesians	0.0940149
Montenegrins	0.0878127
Beijingers	0.0865468
"Cuban Americans"	0.084187
"South Carolinian"	0.0839911
"Los Angeles City Council"	0.0831639
Vermonter	0.0819619
Ohioan	0.0793111
"New Zealander"	0.0792159
"Israeli Arabs"	0.0763696
Peruvian	0.0761402
registrant	0.0755809
Yazdi	0.0751932
interviewee	0.074956
Latvians	0.0745767
"New Jerseyans"	0.0730473
Mississippian	0.071998
Cuban-Americans	0.0717419
"New York Republicans"	0.0707838
Georgian	0.0706498
Londoner	0.0699908
Hawaiians	0.0670483
Croatians	0.0670245
"Asian Americans"	0.0669966
"East Timorese"	0.0663871
Venezuelan	0.0658924
"North Carolinian"	0.0655121
farmworkers	0.0642058
Kansan	0.0640077
"Ulster Unionists"	0.0639324
Haitian	0.062483
urbanites	0.0622894
Minnesotan	0.0622781
CUF	0.0620336
eighth-graders	0.0616236
Fabius	0.0610703
"San Franciscans"	0.0601392
"Puerto Rican"	0.0595103
"French people"	0.0594625
Missourian	0.0593526
"American Jews"	0.0589767
Briton	0.0586635
Greeks	0.057878
Croats	0.0573178
Arab-Americans	0.0572417
Muscovite	0.0570067
lockbox	0.0566289
Bosnians	0.0563968
"Southern Baptists"	0.0563774
"Texas Democrats"	0.0562775
probationer	0.0561551
Slovaks	0.0561004
"Shiite Muslims"	0.0560571
Ibo	0.0558586
Breton	0.0558322
Floridian	0.0558081
Nepalese	0.0555762
Virginian	0.0555514
"card holder"	0.0554659
Asian-Americans	0.0551988
test-takers	0.055144
Kashmiris	0.0542995
drownings	0.0539129
Iowan	0.0539112
Armenians	0.0537078
Utes	0.0537009
Atlantans	0.0531865
elector	0.0530347
Shiite	0.0529308
Kurds	0.0528244
enlistee	0.0526852
concertgoers	0.0526378
"market watcher"	0.052205
"Mitsubishi Motors"	0.0521892
third-graders	0.0521357
Salvadoran	0.0520854
Treen	0.0520446
legionnaire	0.0516957
Montiel	0.0515087
VCs	0.0514012
CPS	0.0513935
"New Englander"	0.0513897
evangelicals	0.0511638
Frenchmen	0.0510419
Afrikaner	0.0510067
"take-home pay"	0.0509588
Remnick	0.0508663
TRUANT	0.0508641
"married woman"	0.0507814
cardholders	0.0506244
Tibetans	0.0506068
snakehead	0.0505718
Merlino	0.0505029
Inkatha	0.0504977
fourth-graders	0.0503517
Musgrove	0.0499932
Navajos	0.049753
"Monetary Policy Committee"	0.049727
"Big Blue"	0.0493354
dieters	0.0492786
sixth-graders	0.0492711
Southerner	0.0492707
"Sri Lankans"	0.0491873
Lithuanians	0.0491615
non-Social	0.0490355
"New York Police Department"	0.0489213
enrollee	0.0488299
"African Americans"	0.0487471
"union worker"	0.0486227
FEDERALIST	0.0484307
Jesuit	0.0483954
oddsmakers	0.0482672
adoptees	0.0481741
Kiareldeen	0.0481215
doomsayers	0.047979
Calvary	0.047735
Nikitin	0.0477293
Liberian	0.0475754
Ganassi	0.0474951
Alaskan	0.0474872
Bunning	0.0474561
transnationals	0.0472153
Arizonan	0.0470561
MALICK	0.0469974
"Republican Leadership Council"	0.0466559
gamers	0.0465403
Greenbrier	0.0463781
illegals	0.0462686
"Chinese NPC"	0.04616
"Hispanic American"	0.0461383
"South Koreans"	0.0459993
examinees	0.0459668
"SAR Government"	0.0456678
CITIC	0.0455709
SMIs	0.045419
Anglos	0.0453683
Copt	0.0453112
homebuyers	0.0452978
townsfolk	0.0451739
franchisees	0.0451379
procrastinator	0.045075
Narayanan	0.0449807
sportswriters	0.0447143
armymen	0.0446499
"joint-stock company"	0.0445472
"Real IRA"	0.0445083
goer	0.0444932
"Russian Orthodox Church"	0.0443787
filmgoers	0.044347
"Jim Nicholson"	0.0442661
meatpackers	0.0442008
"Kosovo Serbs"	0.0441827
Oregonian	0.0441544
EBRD	0.0441455
cager	0.044132
Soviets	0.0440349
"Parti Quebecois"	0.0437487
infantrymen	0.0434579
"Wine Institute"	0.0434437
Ukrainians	0.0430952
"hockey coach"	0.0429635
"Academy of Motion Picture Arts"	0.0428457
Dodik	0.0427396
"Ruiz Massieu"	0.0426122
Malawian	0.0425359
BASQUE	0.0423371
AOC	0.0422856
McGreevey	0.0422629
delinquent	0.0422443
stargazer	0.0422366
e-tailers	0.0421289
"Congressional Republicans"	0.0420134
Chicagoans	0.0420095
sorority	0.041975
Comsat	0.0418505
"National Council of Churches"	0.0418312
"Angolan Government"	0.0417475
Scots	0.0417416
Berliner	0.0416668
"defense lawyers"	0.0416519
hemophiliac	0.0415053
Ershad	0.0414549
bird-watchers	0.0413497
lobstermen	0.0412432
Lutheran	0.041136
ex-convicts	0.040931
"Coptic Christians"	0.0408625
evaders	0.0408099
HHS	0.0408008
"Scotty Bowman"	0.0407273
Liggett	0.0406024
"Southern Democrats"	0.0405955
"three @-pointers"	0.0405712
part-timer	0.04057
Mitnick	0.0405598
RIAA	0.0405538
Halberstam	0.0404215
))
(Basra (desc 5127.14) (sims
Najaf	0.313951
Mosul	0.231416
"Surat Thani"	0.146321
Irbil	0.141686
Izmit	0.137296
Bushehr	0.134824
Murmansk	0.133914
Sidon	0.13049
Ensenada	0.130406
Aden	0.130244
Herat	0.129444
Aswan	0.127214
Juba	0.1266
"Novi Sad"	0.125844
Isfahan	0.122746
Kismayu	0.120955
Bamiyan	0.120612
Cebu	0.116663
Huambo	0.116387
Haifa	0.114124
"CHIANG MAI"	0.112736
Adana	0.112713
Izmir	0.111425
Davao	0.111275
Antalya	0.110394
Karbala	0.110225
Acapulco	0.109972
Matadi	0.108656
Ashkelon	0.107626
Hyderabad	0.106656
Malaga	0.103866
Cotabato	0.102376
Taloqan	0.102322
Phuket	0.101983
Urosevac	0.101627
Lhokseumawe	0.101215
Durres	0.101016
Sihanoukville	0.100937
Tapachula	0.100594
Warri	0.100519
Inchon	0.100374
Marjayoun	0.0997078
Pancevo	0.0991023
Jalalabad	0.0990267
Baoding	0.0989409
Tete	0.098706
Gdansk	0.0985961
Dubrovnik	0.0978441
Haicheng	0.0974328
"Chiang Rai"	0.0971879
Mankulam	0.0964236
Baalbek	0.0956557
Trincomalee	0.0955687
TEGUCIGALPA	0.0948434
Bursa	0.0943465
Durban	0.0941992
Assab	0.0941739
Cochabamba	0.0934964
"Santo Domingo"	0.0933838
Tunceli	0.0925337
Trieste	0.0924229
NIS	0.0923487
Kuito	0.0920044
Merca	0.0919989
"Port Elizabeth"	0.0918173
Zamboanga	0.0916664
Krasnoyarsk	0.0915129
"San Salvador"	0.0914755
"San Pedro Sula"	0.0910193
Salonica	0.0906274
Port-au-Prince	0.0898576
Saida	0.0898439
Djakovica	0.0890456
Guadalajara	0.0888643
Khabarovsk	0.0885442
Samara	0.0884231
Srinagar	0.0876233
Peshawar	0.0875479
Kismaio	0.0870188
Benguela	0.086159
Dushanbe	0.0860672
Vladivostok	0.0858804
Kindu	0.0858399
Kizlyar	0.0857331
BIE	0.0854662
Uvira	0.0849113
"Port Arthur"	0.0849002
Diyarbakir	0.0844654
Limassol	0.0844375
Rafah	0.0842459
Khost	0.0841978
Algiers	0.0841875
Kandy	0.0838615
Poughkeepsie	0.0835431
Shiraz	0.0833287
Aqaba	0.0832535
Manado	0.0832258
Multan	0.083201
"El Segundo"	0.0831584
Kisumu	0.0831407
Alexandria	0.0831207
Guayaquil	0.0828921
Nyanza	0.0827213
"SIERRA BLANCA"	0.0826021
"La Paz"	0.0824137
Antioquia	0.082324
"Corpus Christi"	0.0822217
Cyberjaya	0.0819702
Istanbul	0.0819194
Bulawayo	0.0816945
Tripoli	0.0814045
"San Cristobal"	0.0813815
Nogales	0.0812406
Bengkulu	0.0810298
"Sao Paulo"	0.0804931
Bingol	0.0801898
Catania	0.0801561
Limon	0.0799682
Punjab	0.0798976
Goteborg	0.0798148
Cabinda	0.0788922
"North Maluku"	0.0779343
Gisenyi	0.0778113
Beira	0.0777769
Gudermes	0.0776521
Yogyakarta	0.0775746
Nablus	0.0775195
Urus-Martan	0.0774055
Jenin	0.0771594
Larnaca	0.0771592
"Del Rio"	0.0771236
Ndola	0.0770929
Sevastopol	0.0770716
Posoltega	0.0767185
Vukovar	0.0766844
Krakow	0.0765351
Gulu	0.0761262
Eilat	0.0759892
Katanga	0.075912
Luanda	0.0758581
Mombasa	0.0758565
Bukavu	0.0758044
Zhangjiakou	0.0757625
Goma	0.0753806
Cartagena	0.0752499
Karachi	0.0752277
PEC	0.0749239
Medellin	0.074917
Cienfuegos	0.0747353
COLOMBO	0.0745691
Sofala	0.0744539
"Siem Reap"	0.0736537
Makhachkala	0.0736511
"Ciudad Juarez"	0.0734657
Londonderry	0.0733568
BOGOTA	0.0732923
Chengde	0.0731707
Beersheba	0.0731656
Aachen	0.0729193
"Tel Aviv"	0.0728789
Cali	0.0727042
Prizren	0.0726983
Managua	0.0723972
Rawalpindi	0.0723938
Nabatiyeh	0.0722511
"Kosovska Mitrovica"	0.0715791
Camden	0.0715442
Baotou	0.0714542
Qom	0.0713873
Novosibirsk	0.0706166
Bujumbura	0.0705712
"Dead Sea"	0.0704804
Bombay	0.0702424
Kisangani	0.0701918
Hillsboro	0.070101
Dhahran	0.0700834
Wenzhou	0.0699658
Kabul	0.0699293
Odessa	0.0697848
"Suva Reka"	0.069745
Vojvodina	0.0697113
Bissau	0.069515
Liuzhou	0.0692509
"Port Harcourt"	0.0689356
Beirut	0.0688653
Basilan	0.0687668
Waterville	0.0687358
Youngstown	0.0687294
Ramallah	0.0686842
Plattsburgh	0.0686501
Hakkari	0.0686125
Thessaloniki	0.0686068
Veracruz	0.0684806
Mostar	0.0683624
"Banja Luka"	0.0683329
Casas	0.0683127
Vladikavkaz	0.0681733
anchorage	0.0680789
Pampanga	0.0680764
Sirnak	0.0678954
))
(Bass (desc 24293.8) (sims
guitar	0.123318
percussion	0.113891
trombone	0.109266
clarinet	0.109022
trout	0.108947
violin	0.107841
piano	0.107447
saxophone	0.106596
"acoustic guitar"	0.105095
trumpet	0.103944
drum	0.103304
Flute	0.0974594
harmonica	0.0971172
"electric guitar"	0.0936133
banjo	0.0911316
tuba	0.0848041
cello	0.0834191
fiddle	0.0825163
striper	0.0810502
"striped bass"	0.0802201
Sax	0.0789723
"steel guitar"	0.0783361
lute	0.0761932
accordion	0.0758203
Catfish	0.075642
harp	0.074863
baritone	0.0745189
walleye	0.0735188
oboe	0.0733003
synthesizers	0.0732066
vocals	0.071771
cymbal	0.0701993
"brown trout"	0.0693186
salmon	0.067201
tarpon	0.0663653
fish	0.0658168
bluefish	0.0647004
bagpipe	0.0640547
keyboard	0.0627102
"rainbow trout"	0.061841
carp	0.0616082
riff	0.0579919
halibut	0.057193
cod	0.0568186
mackerel	0.056138
herring	0.0559882
"rhythm section"	0.0543007
Horn	0.0537525
rhythm	0.0528715
Viola	0.0525286
sturgeon	0.0522921
tuna	0.0512754
instrument	0.0490035
shark	0.0489736
Gong	0.048005
lyric	0.0450443
orchestra	0.0448912
crawfish	0.0447255
melody	0.0441522
solo	0.0439531
shrimp	0.0435526
drummer	0.0432557
bird	0.0432018
CAT	0.0430621
swordfish	0.0429662
McDonald	0.0428405
deer	0.0427107
Bell	0.0426254
chorus	0.04259
"string quartet"	0.0425784
angler	0.0425694
tenor	0.042543
"dance music"	0.0424118
Bowden	0.041284
Maris	0.0411862
alligator	0.0406406
turtle	0.0403282
sardine	0.0400742
))
(Bassett (desc 1670.86) (sims
Greenwald	0.138997
Mucha	0.129587
Kurtz	0.12256
Briscoe	0.121854
Ono	0.118356
Weil	0.116292
Abram	0.114749
Hamlin	0.109895
Rowe	0.102202
Chappell	0.101501
Meissner	0.100217
Rowley	0.0991943
Tilberis	0.097611
Hobson	0.0970946
Lowry	0.0970635
Henning	0.0961725
Slatkin	0.0960601
Britton	0.0956789
Brazile	0.09359
Morley	0.0932208
Lundberg	0.090689
Fiorina	0.0901664
Farber	0.0900342
Midler	0.0888591
Kohn	0.0887413
Rowan	0.0886682
Keenan	0.0882957
Sorensen	0.0867259
Wasserstein	0.0867177
Jaffe	0.0861269
Weiner	0.0859627
O'Hara	0.0857999
Roberson	0.0853796
Mckee	0.0850384
Albrecht	0.0845072
Henley	0.0839099
Merritt	0.0835767
Stacy	0.0832012
Auerbach	0.0829502
Leigh	0.082941
Cline	0.0827054
Janssen	0.0825857
Tharp	0.0823442
McFadden	0.0821602
Pape	0.0820546
Moser	0.0820378
Macdonald	0.0818873
Greco	0.0814717
Rivlin	0.0814666
Salinger	0.081332
Donnelly	0.0813139
Shapiro	0.0812944
Huffington	0.0812199
Rosenthal	0.0808383
Zuckerman	0.0808149
Pugh	0.080432
Forrest	0.0803906
Arbour	0.0797806
Menchu	0.0797361
Kelso	0.0797228
Schafer	0.0794823
Harman	0.0790215
Montiel	0.0790199
Vogel	0.0789887
Whaley	0.0789111
Demaci	0.0788473
Choate	0.0787523
Edelstein	0.0787161
Pearce	0.0786113
Markovic	0.0784
Boyle	0.0782019
Stahl	0.0780375
Portnoy	0.0778861
Orton	0.0778237
Liston	0.0776789
Squier	0.0776223
Cochran	0.0772381
Morrison	0.0765763
Lurie	0.076523
Margolis	0.076479
Nacchio	0.0763778
Seltzer	0.0763068
Adkins	0.0762728
Chukwu	0.0762473
Naumann	0.076072
Neff	0.0760025
Mahoney	0.0759631
Molinari	0.0758656
Theron	0.0757874
Ackerman	0.0755692
Heyward	0.0755053
Darnell	0.0754554
Haines	0.0751698
Horne	0.0751521
Kusama	0.0749909
Sills	0.0746683
Pascal	0.0742038
Barshefsky	0.0740885
Maynard	0.0739117
Sheehy	0.0736467
Godfrey	0.0735966
Wolff	0.0733996
Tuttle	0.0733901
Dench	0.0732842
nance	0.0732504
Quintero	0.0728441
Northup	0.0726008
Lockwood	0.0725517
McAllister	0.0725328
Arron	0.0725229
Lerner	0.0724957
COYNE	0.0724889
Cleary	0.0724468
Reese	0.0723048
Padilla	0.0720625
Shulman	0.0720598
Hanley	0.0720481
Betts	0.0720398
Higgins	0.0718655
Gifford	0.0715594
Marchand	0.0714883
McMillan	0.0714401
Kingsley	0.0713329
Mott	0.0713084
hale	0.0712821
Barad	0.0709751
Berenson	0.0708471
Fleming	0.0707955
Nilsson	0.0707613
Bisek	0.0704934
McCormack	0.0704202
Segal	0.0703202
fowler	0.0701109
Giordano	0.0700779
Deneuve	0.0699238
Tennant	0.0697166
Suarez	0.0695738
Goldin	0.0695563
Cunningham	0.0695324
Vaughan	0.0693299
Bushnell	0.069119
Ozawa	0.0689784
Olson	0.0687821
hough	0.0687655
Mullen	0.0687276
Mortimer	0.0687077
Byrne	0.068629
Gaston	0.0684941
DeFrantz	0.068463
Jorgensen	0.0683511
conger	0.0683044
Hsia	0.068274
Swenson	0.0681963
Puzo	0.0681899
Lipstadt	0.0681739
Yoon	0.0681562
Snyder	0.0681303
Steinberg	0.0680302
Yates	0.0680299
Conroy	0.0679649
Eisenman	0.0678287
Adair	0.0677814
Witherspoon	0.0675912
Scruggs	0.067494
Knapp	0.0674544
Joklik	0.067297
Warshaw	0.0672633
Ruehe	0.0672102
Trevi	0.0671357
Tomlin	0.0670363
Ashrawi	0.0670263
Hahn	0.0669499
FAWCETT	0.0669432
Heche	0.0668995
Sharma	0.0665248
McConnell	0.0663431
Ofili	0.0662545
Ivey	0.0662355
Walsh	0.0661957
Seligman	0.0661849
Talebi	0.0661012
Babcock	0.0660626
Hadley	0.0658818
Emery	0.0658012
Moscoso	0.065634
Cusack	0.0655394
Wilder	0.0655193
Spitzer	0.0654772
Chenoweth	0.065336
Richards	0.0653069
Upshaw	0.0652681
Barnett	0.0652476
LeFave	0.0652106
Hoffman	0.0651923
Maharaj	0.0651564
Purcell	0.0650705
Kirkpatrick	0.0650557
Halloran	0.0650552
Rudenstine	0.0650313
Kurth	0.0648788
))
(bassist (desc 4095) (sims
guitarist	0.147384
keyboardist	0.138401
bandleader	0.116072
saxophonist	0.114569
vocalist	0.107967
drummer	0.10577
pianist	0.102558
arranger	0.0996462
violinist	0.0986688
trumpeter	0.0943624
"guitar player"	0.0918734
percussionist	0.0827904
clarinetist	0.0796169
songwriter	0.0789399
flutist	0.0752658
instrumentalist	0.0736844
organist	0.0713806
"front man"	0.0708286
cellist	0.0690852
singer-songwriter	0.0673027
accompanist	0.0672587
D.J	0.0669656
sextet	0.0644381
lyricist	0.0640005
chanteuse	0.0610479
"piano player"	0.0606685
deejay	0.0572171
conductor	0.057011
"folk singer"	0.0561194
rapper	0.055927
Beatle	0.0536836
"Diana Krall"	0.052934
"fashion designer"	0.048593
crooner	0.0484231
paramour	0.0473235
miler	0.0466274
librettist	0.0459282
"film star"	0.0459055
"disc jockey"	0.0447061
quintet	0.0443802
Bostonian	0.0443397
cabinetmaker	0.0443123
"jazz musician"	0.0440671
"interior decorator"	0.0434352
"Steely Dan"	0.0432375
mathematician	0.0431393
beautician	0.0430658
"John Coltrane"	0.0430126
"whipping boy"	0.0429963
"Tito Puente"	0.0428128
soloist	0.0427489
"man of letters"	0.0427038
cellmate	0.0425998
newspaperman	0.0424672
musicologist	0.0421159
"stage director"	0.0420935
stuntman	0.0412454
lexicographer	0.0410729
nobleman	0.0410085
aficionado	0.0409269
"press agent"	0.0409162
choir	0.0408428
"master of ceremonies"	0.0407394
"Bobby Rahal"	0.0406064
archivist	0.0405483
"Christian Democrat"	0.040483
"registered nurse"	0.0404641
acrobat	0.0403566
"Black Panther"	0.0402996
"sparring partner"	0.040244
))
(Basso (desc 1111.09) (sims
Pudge	0.0984108
Laudor	0.0951024
Edberg	0.0879933
"Dez White"	0.0824924
Hamzah	0.0804232
Marinovich	0.0796556
Sergei	0.0761247
Puente	0.0708384
Baumhammers	0.0700458
Fortier	0.0690807
Atler	0.0678307
Hoke	0.0668754
Wendt	0.0663461
Downey	0.0656819
Einhorn	0.0650684
Karr	0.0650254
Martorano	0.0647849
Ironman	0.06459
Capano	0.064428
"San Lorenzo"	0.0643897
Valenti	0.0642493
Kurtz	0.0642335
Carmichael	0.0639617
Gutman	0.0638783
Petersen	0.0637013
Jenoff	0.06344
Taubman	0.0629439
Nanula	0.0627903
Shoate	0.0627232
Lapentti	0.0625851
Pryor	0.0624134
Druckenmiller	0.0618756
Fassett	0.0616968
Kesri	0.0616454
face-down	0.0612544
Tanaka	0.0606503
Hirschfeld	0.0606205
Bunning	0.0604272
Markhasev	0.0603348
Stefan	0.0601806
Hofer	0.0599714
leeson	0.0598562
Mitnick	0.0594716
Bubb	0.0594311
Elliot	0.0589752
Trantino	0.05883
Kasparov	0.0579681
Susann	0.057928
Stayner	0.0578321
Hensley	0.0571941
Mucha	0.056999
Suarez	0.0565268
Sebaggala	0.0564657
Turetzky	0.0563641
Whitacre	0.0563206
Maag	0.0562968
Shayler	0.0561702
Gullit	0.056143
Fiorina	0.0558769
Limon	0.0551702
"El Guerrouj"	0.05502
Reinhardt	0.0549145
Hyman	0.0549022
Rideau	0.0543812
backboard	0.0542464
Shulman	0.0540566
Hersh	0.0540481
Andreychuk	0.0535521
Nikitin	0.0534851
Hefner	0.0534766
Meggett	0.0533932
Zubov	0.0532541
Akayesu	0.0531838
Lawler	0.0530505
Fagan	0.0530261
Elhage	0.0525786
Olsen	0.0524311
Ciampi	0.0523851
Grossberg	0.0520192
Hamid	0.0519511
Priebke	0.0517622
Kerouac	0.0517268
guo	0.0516056
Franz	0.0514436
Northup	0.050955
Spellman	0.0508557
Eappens	0.0506815
Lawson	0.0506814
Sweeting	0.0505258
Atkinson	0.0504535
Ingraham	0.0503238
Robison	0.0503209
McCray	0.0502782
Abdur-Rahim	0.0501755
Berenson	0.0500745
Barrie	0.0496645
Swango	0.0493245
Wong	0.0492691
Benny	0.0492604
Waite	0.0492498
Mims	0.0492332
cappella	0.0489837
Ramsey	0.0489513
Duran	0.0488815
Hartwig	0.048659
Westendorp	0.0486352
Jelisic	0.0484851
Conley	0.0481669
Strauss-Kahn	0.0481332
Binion	0.0480204
Naumann	0.0478743
Agca	0.0477301
Rabe	0.0474987
Roberson	0.0474503
Merkel	0.0473923
Hearn	0.0473685
capella	0.0472266
Haney	0.0471905
Sorensen	0.0471224
Kagwe	0.04712
Midler	0.0470829
Calvary	0.0467517
Cepeda	0.0466904
Heyns	0.0465351
Schiffer	0.0464384
McGill	0.0464061
"Marie-Jose Perec"	0.0464011
Novak	0.0463684
Whipple	0.0463647
Smyers	0.0463314
"El Hage"	0.0463074
Copeland	0.0462364
Kenna	0.0461886
Weah	0.0459671
Lazaro	0.0459422
Ntakirutimana	0.0458114
Tran	0.0456965
Bocelli	0.0456554
Craxi	0.0455988
Dellucci	0.0455877
Adair	0.0455395
Reichel	0.0455304
Dandridge	0.0455274
Alderson	0.0454847
Kodikian	0.0454786
Goff	0.0454692
Boesak	0.0454041
Soliah	0.045329
Samara	0.0453287
Collymore	0.0452401
Haouari	0.0451408
Murr	0.0450411
Ruehe	0.0450297
Cota	0.0449854
Conroy	0.0448846
Sanan	0.0448552
Icahn	0.0448332
Katsav	0.0448282
Blackthorne	0.0448191
Zarkin	0.0446848
Schmitt	0.0446497
D'Amico	0.0445866
Garza	0.0445353
McKenna	0.0444675
Kory	0.0444511
Kiareldeen	0.0444052
Talebi	0.0443928
Dunne	0.0443776
Irvan	0.0443175
"Colorado Party"	0.0443098
Sizemore	0.0442756
Dwyer	0.0442698
Mineta	0.0442437
Henley	0.0440882
Deane	0.0440586
Grammer	0.0438957
Choi	0.0436115
Mattysse	0.0434981
Neulander	0.0434909
Nathaniel	0.0433712
Hoffmann	0.0431751
Kimeses	0.0431648
Yosef	0.0431134
Gatling	0.0431124
Hammett	0.0430968
Monique	0.0430548
Lyman	0.0430122
Radojevic	0.0429802
Pierson	0.042966
Sheinbein	0.0429129
Gauthier	0.0428526
"Lloyd Webber"	0.0428178
Paciello	0.0426899
Wasserstein	0.0424397
Webber	0.0424392
Samuelson	0.0422582
Harris-Lewis	0.0422326
Hage	0.0422315
"Field Poll"	0.0422247
Whalen	0.0421482
))
(bastard (desc 3196.98) (sims
slob	0.100899
rascal	0.0814176
schemer	0.076608
expletive	0.0764164
ass	0.0761581
nigger	0.0757489
bigot	0.0753772
"good person"	0.0741407
lunatic	0.0724725
idiot	0.0724603
jerk	0.0717963
fella	0.0701316
knucklehead	0.0683531
wimp	0.0672226
"second person"	0.0666981
Hick	0.0659376
"ball club"	0.0640523
scum	0.0615957
brat	0.0614306
coward	0.0607479
capitalist	0.0604973
"old lady"	0.0597857
doer	0.0595936
critters	0.0595883
jock	0.0590853
hater	0.0587531
opportunist	0.0586008
bloke	0.0576187
Longo	0.0569953
breadwinner	0.0565685
"Beauty Queen"	0.0564372
bumpkin	0.055773
punk	0.0547846
"draft dodger"	0.0539575
sucker	0.0537041
wretch	0.0534913
tyrant	0.0532256
gringo	0.0530407
interloper	0.0530281
troublemaker	0.0528316
witch	0.0528131
beings	0.0527709
punchline	0.0526629
dispersion	0.0526184
cheater	0.0525721
blonde	0.0521992
Chicagoans	0.0520229
bitch	0.0513954
mommy	0.0511167
"one of the boys"	0.0508611
"Ryan Kealy"	0.0502451
bleep	0.050156
hyper	0.050103
bum	0.0500178
things	0.0497401
liar	0.0497124
dude	0.0495295
leech	0.0494087
mutant	0.0493193
crap	0.0490296
whore	0.0487987
boob	0.0487943
sycophant	0.0487705
CAD	0.0483904
thug	0.0482198
"wonder boy"	0.0477187
carpetbagger	0.0476277
womanizer	0.0473096
moron	0.0471812
"mushroom cloud"	0.0471161
"Mike Vernon"	0.0468367
poodle	0.0467867
scab	0.0467081
wacko	0.0466539
brute	0.0462926
grabber	0.0462291
"adventure story"	0.0461201
lawmen	0.0458685
Gaither	0.0458364
"Richard Hatch"	0.0458217
Charley	0.0457784
gunk	0.0457288
manipulator	0.0454485
deliverance	0.0454053
chaser	0.0452338
Smitherman	0.0451272
hillbilly	0.0450273
"Jesse James"	0.0446686
blinder	0.0446279
crook	0.0444756
traitor	0.0443568
heretic	0.0441514
"first pitcher"	0.0441064
Biko	0.043977
Confederate	0.0437311
newspaperman	0.0436611
"house guest"	0.0436002
impostor	0.0435573
aggressor	0.043464
lout	0.0432391
earthling	0.0430788
outcast	0.0430744
Meissnitzer	0.0430555
"major-league team"	0.0430401
kitten	0.0429813
"free radical"	0.0429765
"big leaguer"	0.0429357
"top dog"	0.0429222
quark	0.0429097
happiest	0.0428763
ballclub	0.0428127
redneck	0.0427491
"throwing away"	0.0426218
tyke	0.0423328
techie	0.0423315
chased	0.0420718
"Satanic Verses"	0.041893
midget	0.0418802
"Private Ryan"	0.0418218
duffer	0.0418151
Samuelson	0.0416989
infiltrator	0.0416449
nitwit	0.0415149
Philanderer	0.0415062
profiteer	0.0414746
wordsmith	0.0413722
middlemen	0.0411761
zealot	0.0409756
junkie	0.0408441
egomaniac	0.0407659
rube	0.0407303
"American Psycho"	0.0407063
"monarch butterfly"	0.0406807
stepchild	0.0406769
privy	0.0406699
"young person"	0.0406364
patsy	0.0404849
picky	0.0400987
itals	0.0400127
))
(Bastia (desc 1672.08) (sims
Auxerre	0.275165
"Olympique Marseille"	0.227601
Metz	0.220565
"Paris St Germain"	0.214397
Rennes	0.201668
Montpellier	0.195787
Torino	0.181352
Besiktas	0.177732
Lecce	0.177604
"Celta Vigo"	0.173029
Brondby	0.171635
"Arnaud Di Pasquale"	0.169831
Strasbourg	0.167004
"VfL Wolfsburg"	0.164961
"VfB Stuttgart"	0.162018
Salernitana	0.16142
"Velez Sarsfield"	0.159165
Valladolid	0.158155
Espanyol	0.157348
"Chinese Army"	0.156405
Watford	0.15592
"Borussia Moenchengladbach"	0.155908
"Coventry City"	0.154848
"Athletic Bilbao"	0.154638
Fenerbahce	0.152298
Anderlecht	0.149604
"Guy Forget"	0.149158
Penarol	0.148427
"Sarah Pitkowski"	0.147372
Gremio	0.146019
Piacenza	0.145666
"Nathalie Dechy"	0.145151
Independiente	0.144449
Rosenborg	0.143309
"Sebastien Grosjean"	0.143196
"Schalke @@"	0.14259
"Jerome Golmard"	0.141524
"Arnaud Clement"	0.140276
"Sichuan Quanxing"	0.139941
"Leicester City"	0.138896
Perugia	0.138802
"San Lorenzo"	0.138288
Cagliari	0.138224
Schalke	0.137472
Nantes	0.136461
Zamalek	0.136098
Udinese	0.136044
"Boca Juniors"	0.132443
"Glasgow Rangers"	0.132259
Nancy	0.131657
Freiburg	0.13009
"PSV Eindhoven"	0.129294
Nacional	0.12861
"Newcastle United"	0.128486
"Dalian Wanda"	0.128038
"Nicolas Escude"	0.127809
Necaxa	0.124937
Galatasaray	0.124622
Alaves	0.124304
Feyenoord	0.12418
Kaiserslautern	0.1241
"Slavia Prague"	0.123725
"Real Sociedad"	0.123374
"Deportivo Coruna"	0.123042
"Atletico Madrid"	0.122681
"Spartak Moscow"	0.122504
"Colo Colo"	0.122346
Benfica	0.122046
"Blackburn Rovers"	0.12203
Flamengo	0.121823
Shenhua	0.121317
"Borussia Dortmund"	0.12128
Empoli	0.120742
Tenerife	0.120574
"Arnaud Boetsch"	0.120054
Heerenveen	0.11981
Venezia	0.119263
Rostock	0.118801
"Real Betis"	0.118144
Maribor	0.117948
"Albert Portas"	0.117937
"Guillaume Raoux"	0.117265
"Joannette Kruger"	0.117203
Toulouse	0.116371
"Derby County"	0.116304
"West Ham United"	0.116156
Fulham	0.115694
Estudiantes	0.115398
Everton	0.114843
"Guangzhou Apollo"	0.113828
"AEK Athens"	0.113021
Panathinaikos	0.112823
"Alexandra Fusai"	0.11262
"Tottenham Hotspur"	0.111436
Sevilla	0.111416
"Olivier Delaitre"	0.111154
"Jubilo Iwata"	0.109777
Monaco	0.109736
"Shanghai Shenhua"	0.109417
"Leeds United"	0.109167
Marseille	0.109154
Lyon	0.108672
Duisburg	0.108667
"Barbara Schwartz"	0.108457
"Nottingham Forest"	0.10819
"Nicole Pratt"	0.107371
Betis	0.107216
Zaragoza	0.106776
Berasategui	0.106502
Olimpia	0.106297
"Crystal Palace"	0.105862
Napoli	0.105517
Wolfsburg	0.105124
Parma	0.105067
"Werder Bremen"	0.104948
"Sturm Graz"	0.104779
"Fabrice Santoro"	0.104772
"Qingdao Hainiu"	0.104502
"Olympiakos Piraeus"	0.104343
"Amy Frazier"	0.10429
"Javier Sanchez"	0.103907
"AC Parma"	0.103555
"Adrian Voinea"	0.103539
Sampdoria	0.103534
"Partizan Belgrade"	0.103463
Arazi	0.10324
Porto	0.10196
Bordeaux	0.101846
Bari	0.101578
Olympiakos	0.101388
"Galo Blanco"	0.100986
Fiorentina	0.100965
"Hernan Gumy"	0.100392
corinthian	0.1002
"Anne-Gaelle Sidot"	0.100158
Spartak	0.0999381
"Deportivo La Coruna"	0.0996797
"FC Porto"	0.0995483
Hongyuan	0.0993905
"Gianluca Pozzi"	0.0993823
"Mariano Zabaleta"	0.0993535
"Bradford City"	0.0992507
"Hertha Berlin"	0.0991492
"Ajax Amsterdam"	0.0985413
"Tatiana Panova"	0.0983199
"River Plate"	0.0983053
Middlesbrough	0.098252
Charlton	0.0976594
Leverkusen	0.0974345
"Jinan Taishan"	0.0972389
Andorra	0.0970595
Meligeni	0.0964328
Obilic	0.096101
Mallorca	0.0959629
"Bayer Leverkusen"	0.0955776
"Franco Squillari"	0.0953661
"Kenneth Carlsen"	0.0953409
"Rita Grande"	0.0947379
"Andreas Vinciguerra"	0.0938132
Atletico	0.0935458
Ajax	0.0934656
Limoges	0.0930824
"Daniel Nestor"	0.0920762
"Jean-Philippe Gatien"	0.0920507
"Beijing Guo"	0.0911051
"Magui Serna"	0.0911004
"Paul Goldstein"	0.0908141
Celta	0.0906306
"Richard Fromberg"	0.0905228
"Paola Suarez"	0.0904078
"Andrei Pavel"	0.0898763
Raja	0.0898253
"Rainer Schuttler"	0.0896564
Vicenza	0.0892491
"Karim Alami"	0.089141
Extremadura	0.088845
"Didier Auriol"	0.0886816
Caen	0.0886499
Valencia	0.0884228
"Leander Paes"	0.0882421
"Scott Draper"	0.0881764
Cruzeiro	0.0879799
Dosedel	0.0878725
Palmeiras	0.0869376
"Aston Villa"	0.0868709
Villareal	0.086476
"Croatia Zagreb"	0.0862578
Habsudova	0.0859958
Sugiyama	0.0852817
"Vincent Spadea"	0.0848814
Graz	0.0846337
"Cedric Pioline"	0.0844694
Tarango	0.0842286
"Julie Halard-Decugis"	0.0841509
"Christian Ruud"	0.0841476
Spirlea	0.0838702
Vitoria	0.0834533
"Sandrine Testud"	0.0831245
Daiei	0.0828854
"AC Milan"	0.0828096
))
("Bastille Day" (desc 1253.03) (sims
"May Day"	0.208933
"St. Patrick's Day"	0.192523
"Lunar New Year"	0.185593
"Veterans Day"	0.182341
Juneteenth	0.168035
"Fourth of July"	0.165106
"Chinese New Year"	0.152827
"Rosh Hashana"	0.151089
"National Day"	0.148091
Kwanzaa	0.139537
"Chinese Lunar New Year"	0.136481
"World Environment Day"	0.134117
"wedding anniversary"	0.122905
"Easter Sunday"	0.121328
"Independence Day"	0.120426
"Mardi Gras"	0.11517
Passover	0.114512
"Earth Day"	0.108039
coming-out	0.105577
"July @th"	0.10397
"Black History Month"	0.102646
"New Year's Day"	0.102598
"New Year's eve"	0.0968388
solstice	0.0965146
Eid	0.0952563
"Father's Day"	0.0951389
"World AIDS Day"	0.0940897
Easter	0.0936085
"Memorial Day"	0.0906882
"Thanksgiving Day"	0.0896616
"holy day"	0.0839198
"national holiday"	0.0813927
"Christmas Eve"	0.0813493
Halloween	0.0784085
"Labor Day"	0.077569
"Holy Year"	0.0769196
Oktoberfest	0.0767312
"Christmas Day"	0.075923
"Yom Kippur"	0.0738467
millenium	0.0728153
"Court @"	0.0717419
homecoming	0.0687763
Hanukkah	0.0669154
"Red Square"	0.0661312
"feast day"	0.0659052
"Grand National"	0.0642289
mitzvah	0.0641516
jubilee	0.0640584
yuletide	0.0630347
bicentennial	0.0624844
Champs-Elysees	0.060671
"bar mitzvah"	0.060293
monthlong	0.0601517
"first night"	0.0599049
postgame	0.0586989
"Valentine's Day"	0.0579762
U-boat	0.0546553
"third millennium"	0.054452
"leap year"	0.0540337
"November @, @@@@"	0.0539748
"wedding day"	0.0538781
WMUR-TV	0.0536523
"Yankee Clipper"	0.0531297
"December @, @@@@"	0.0524905
"South Lawn"	0.0523814
"mountain climbing"	0.0516538
go-slow	0.0511429
Sabbath	0.0498574
"Mother's Day"	0.0498175
sendoff	0.0496369
"split decision"	0.0482785
"New York Harbor"	0.0482185
"Senior PGA Tour"	0.0481867
pregame	0.0480594
enshrinement	0.0475673
"Senior Tour"	0.0474505
Centenary	0.0470577
"Zambia Daily Mail"	0.0466244
armistice	0.0465059
Zulu	0.0460544
"October @, @@@@"	0.0460396
"religious holiday"	0.0454745
"Champs Elysees"	0.0454242
"International Year"	0.0435554
"second match point"	0.0428284
"Good Friday"	0.0428226
"August @, @@@@"	0.0427027
four-night	0.0415862
"solar eclipse"	0.0413718
"full moon"	0.0410011
"New Light"	0.0408635
pre-Christmas	0.0408443
renaming	0.0406524
scattershot	0.0405099
))
(bastion (desc 17332.8) (sims
hotbed	0.109897
stronghold	0.108806
bulwark	0.0812606
guarantor	0.0796589
haven	0.077803
bedrock	0.0735073
vestige	0.0731403
redoubt	0.071264
symbol	0.0679657
ideal	0.0644483
paragon	0.0626632
enclave	0.0623639
oasis	0.0603057
fortress	0.0587019
epitome	0.0583603
pillar	0.0583222
cradle	0.0582503
semblance	0.057725
icon	0.0571782
purveyor	0.0566049
standard-bearer	0.0565633
modicum	0.0564378
Guardian	0.0559989
orthodoxy	0.0557992
axiom	0.0534793
bellwether	0.0528846
embodiment	0.0528671
repository	0.0528193
tenet	0.0518138
tradition	0.0517562
battleground	0.0515167
"financial center"	0.05086
"supply route"	0.0507961
backbone	0.0503794
barometer	0.0498754
citadel	0.0496425
arbiter	0.0489962
manifestation	0.0487426
bugaboo	0.0487177
outpost	0.0481076
"gold standard"	0.0478384
kingmaker	0.047532
taboo	0.0471624
dogma	0.0467819
mainstay	0.0467795
beacon	0.0467367
apostle	0.0465327
backwater	0.0464445
savior	0.0456061
"power structure"	0.0453494
emblem	0.044856
inheritor	0.044839
linchpin	0.0447726
pinnacle	0.044729
birthplace	0.0447221
remnant	0.0445282
exemplar	0.0442109
"strong point"	0.0440315
cornerstone	0.0437829
stalwart	0.0436633
personification	0.0435105
heartland	0.0433111
erosion	0.0431457
touchstone	0.0428297
lifeblood	0.0427632
custodian	0.0426215
"nerve center"	0.0425512
"flash point"	0.0425329
powerhouse	0.042483
Mecca	0.042449
"power broker"	0.0424248
oppressor	0.042344
protector	0.0420564
core	0.0415778
affirmation	0.0415257
proponent	0.0413969
staple	0.0412599
"rallying point"	0.0410559
hub	0.0410554
"big spender"	0.040837
reflection	0.0404889
illusion	0.0404363
reformer	0.04037
elite	0.0401441
"melting pot"	0.0401323
"standard bearer"	0.0400555
hierarchy	0.0400253
))
(bat (desc 77712.3) (sims
ball	0.118897
glove	0.118386
"baseball bat"	0.103995
"home run"	0.100434
hitter	0.0956487
stick	0.093685
homer	0.0915636
batting	0.0824739
racket	0.0821345
pitch	0.0819705
Hammer	0.0813898
plate	0.0797543
fastball	0.0778451
at-bat	0.07758
single	0.0769083
grounder	0.0762815
helmet	0.0751734
"sacrifice fly"	0.0746157
"line drive"	0.0736846
double	0.0736574
bird	0.0734756
jersey	0.0733848
racquet	0.0733001
bottle	0.0718894
batter	0.0717367
putter	0.0697129
"foul ball"	0.0691625
gun	0.0691172
puck	0.0686411
catcher	0.0678438
hat	0.0668769
pitching	0.0666099
snake	0.0657245
shoe	0.0652328
shot	0.0646044
RBI	0.0644389
hitting	0.0642071
knife	0.0639659
"grand slam"	0.0639528
"solo homer"	0.0634347
pitcher	0.0631093
bullpen	0.0630303
baton	0.062086
bag	0.0619465
cleat	0.0618414
"golf ball"	0.0616769
arm	0.0612838
insect	0.0609382
turtle	0.0604897
triple	0.0603132
"golf club"	0.0601677
"ground ball"	0.0600522
Foot	0.0599668
shortstop	0.0599449
cane	0.0597974
cap	0.0597296
animal	0.0596469
strikeout	0.0593558
"double play"	0.0592824
elbow	0.0590459
hand	0.058921
"Mike Piazza"	0.058731
"batting average"	0.0586568
broom	0.0585363
object	0.05841
baseball	0.058261
sword	0.0582333
fish	0.058166
slider	0.0579911
"fly ball"	0.0578526
uniform	0.0578209
CAT	0.0577589
machete	0.0577007
slugger	0.0572321
brick	0.0572291
leg	0.0569733
rifle	0.0569074
player	0.0567443
guy	0.0565766
liner	0.0563437
bullet	0.0562397
card	0.0561245
shovel	0.0558535
dog	0.0557849
rod	0.0557076
fist	0.0556498
inning	0.0555605
swing	0.0555057
runner	0.0554622
punch	0.0553758
rock	0.0549364
stuff	0.0548391
knee	0.0547342
rodent	0.0546517
glass	0.0545844
"first base"	0.0545825
shotgun	0.0545033
boot	0.0543402
"third base"	0.0542142
frog	0.0536841
groundout	0.0535406
horse	0.0532957
"second base"	0.0531276
car	0.0529563
pistol	0.052922
camera	0.0529006
Coin	0.0528714
finger	0.0528189
lineup	0.052574
McGwire	0.0525725
"two homers"	0.0522202
box	0.0521516
Shell	0.0520205
pen	0.0518468
monkey	0.0515988
"designated hitter"	0.0515874
"soccer ball"	0.051402
mask	0.0512941
chip	0.0510453
trophy	0.0508556
towel	0.0507976
bench	0.0507
wood	0.050662
bunt	0.0504441
"Tino Martinez"	0.0504381
tree	0.0502553
club	0.0502159
outfielder	0.0501543
thing	0.0499697
piece	0.0497733
toy	0.0497594
pad	0.0497308
"Chipper Jones"	0.0497037
cloth	0.0496691
flower	0.0496604
jacket	0.0495774
wheel	0.0495743
stone	0.0495238
mosquito	0.0494874
mouse	0.0494769
offense	0.0493184
doll	0.0492803
Yankee	0.0492784
dugout	0.0492403
reliever	0.0492216
lizard	0.0489647
pole	0.0489507
butterfly	0.0488427
rat	0.0488177
pipe	0.0487931
T-shirt	0.0486553
changeup	0.0486482
ace	0.0486415
DH	0.0484884
tire	0.0484633
"right hand"	0.0483002
"left hand"	0.048281
"pinch hitter"	0.0481896
football	0.048081
hair	0.0479845
bomb	0.0479836
pair	0.0479829
shirt	0.0479449
chair	0.0479395
receiver	0.0479306
"first baseman"	0.0476538
shoulder	0.0476518
bucket	0.0476213
sock	0.0475722
rabbit	0.0474879
guitar	0.047465
pin	0.047335
"Nomar Garciaparra"	0.0472778
outfield	0.0471374
"starting pitcher"	0.0470863
deer	0.0470807
pot	0.0470766
fan	0.0470579
tiger	0.0470452
error	0.0469348
machine	0.0468694
reptile	0.04673
"Mo Vaughn"	0.0465758
tool	0.0465734
engine	0.0465173
rope	0.0464563
firearm	0.0464393
starter	0.0464285
thumb	0.0463585
ax	0.0463497
handgun	0.0462363
chance	0.0462113
elephant	0.0461499
"Andruw Jones"	0.0461417
mammal	0.0461396
ring	0.0461142
phone	0.0460455
Grenade	0.0459263
wrist	0.0459096
blast	0.045795
))
(Bataan (desc 1398.8) (sims
Pampanga	0.370524
Bakassi	0.0981528
Herat	0.0887248
Vojvodina	0.0826029
Tunceli	0.0795809
"Chiang Rai"	0.0795495
Katanga	0.0793191
BIE	0.0785803
"North Maluku"	0.0778419
"Surat Thani"	0.0776675
Sofala	0.0760742
Crimea	0.0754819
Bamiyan	0.0740394
Nyanza	0.0736204
Mpumalanga	0.0734705
SIDS	0.0729784
Benguela	0.072816
Sirnak	0.0726373
Hakkari	0.0723219
Tete	0.0722943
Antioquia	0.0715886
Riau	0.0715445
Darien	0.0695508
Bingol	0.0683186
Cebu	0.0676176
"East Nusa Tenggara"	0.0672127
Palawan	0.0667989
Zamboanga	0.0660581
Tigray	0.0659301
Luzon	0.0658155
"another @ million"	0.0654839
Balochistan	0.0649349
Baja	0.0649042
Putumayo	0.064436
Khost	0.0633865
Isfahan	0.061768
Norte	0.0611806
Cabinda	0.0602375
"Mount Lebanon"	0.0588819
WWII	0.0576309
Guantanamo	0.057539
Bursa	0.0572128
Alamo	0.0554831
Maguindanao	0.0532543
"East Kalimantan"	0.0531682
Kurdistan	0.0526877
Cotabato	0.0510529
"Spanish-American War"	0.0508926
Limon	0.0507784
Bushehr	0.05026
Najaf	0.0499383
Diyarbakir	0.0497601
Maluku	0.0490326
Davidian	0.0482591
"rift valley"	0.0469298
Sur	0.0467986
Antalya	0.0467135
"Branch Davidian"	0.0464299
Davao	0.045946
Gauteng	0.0456406
Meta	0.045634
KwaZulu/Natal	0.0455958
Basilan	0.0455252
"West Java"	0.0450529
Toro	0.0450283
Phuket	0.0447236
"Mekong Delta"	0.0437827
Cochabamba	0.0436465
tailwind	0.0433571
quiche	0.0432165
"Western Cape"	0.0431451
Cordoba	0.0428103
Copperbelt	0.0426672
"Roman Empire"	0.0419334
Chattahoochee	0.0407108
Santander	0.0406786
Bolivar	0.0406443
Mekong	0.0406234
Manitoba	0.040186
"West Kalimantan"	0.0400915
))
(Batam (desc 1736.31) (sims
Sulawesi	0.189693
Phuket	0.18939
Kyushu	0.169389
Sakhalin	0.164096
Sumatra	0.152331
Bandung	0.150924
Bali	0.142028
Yogyakarta	0.140759
Bogor	0.139588
"Abu Musa"	0.136192
Ambon	0.135825
Langkawi	0.132655
Sipadan	0.130111
Surabaya	0.128317
Anjouan	0.1252
Maluku	0.119538
"Central Java"	0.118201
"West Java"	0.117292
Bougainville	0.108876
"Irian Jaya"	0.107273
Basilan	0.100426
Cebu	0.100313
Crete	0.100178
Jolo	0.0986324
"East Kalimantan"	0.0986198
Pemba	0.0975858
Luzon	0.0971263
Palawan	0.0955004
Bengkulu	0.0951736
Cotabato	0.0944888
Kalimantan	0.0921922
Palembang	0.0898995
Borneo	0.0897399
"San Salvador"	0.0894199
Buldon	0.0868637
Moroni	0.0861355
Hokkaido	0.0848654
Cochabamba	0.0838111
Medan	0.0836092
"East Java"	0.0834445
Hainan	0.0826475
"Far Eastern"	0.0805051
Davao	0.0802734
Hispaniola	0.07781
"Subic Bay"	0.0760603
Mindanao	0.0756845
Madeira	0.0756762
Timor	0.0754612
"St. Helena"	0.0754416
"South Sulawesi"	0.0748877
Baoding	0.0739323
Punjab	0.0738044
Kauai	0.0737709
"Western Pacific"	0.0735095
Okinawa	0.0729084
"Cape Verde"	0.0727767
"West Timor"	0.0721658
Aegean	0.0713973
"New Guinea"	0.0709267
"North Maluku"	0.0708863
Subic	0.0699878
"Joko Suprianto"	0.069637
Aceh	0.0685927
Anguilla	0.0684695
Sulu	0.068321
"Iglim Al-Toffah"	0.0682364
"St. Kitts"	0.0676358
Atambua	0.0666173
Bamiyan	0.0662992
"St. Croix"	0.066149
Montserrat	0.0658125
Pattaya	0.0652478
"St. Maarten"	0.0648347
"SIERRA BLANCA"	0.0647952
"New Caledonia"	0.0646639
Maldives	0.0639706
Comoros	0.0636636
Oahu	0.0636602
Martinique	0.0636536
Amelia	0.0631301
Izmit	0.0629759
Saipan	0.0626771
Guadalcanal	0.0626608
"Egyptian capital"	0.0626498
"Budi Santoso"	0.0625769
"Chek Lap Kok"	0.0622027
Cozumel	0.062124
Zanzibar	0.061406
Corsica	0.0612969
ZHOUSHAN	0.0607737
"Nahdlatul Ulama"	0.060572
Midrand	0.0605324
Entebbe	0.0598442
harbour	0.0592659
Herat	0.0591432
Shali	0.0590294
MSC	0.0588991
Vojvodina	0.0587521
Bushehr	0.0587119
Decani	0.0585694
Huambo	0.0585192
Grenada	0.0583628
Nabatiyeh	0.058175
curacao	0.0581086
"Hainan Province"	0.0579669
Beidaihe	0.0579411
Antalya	0.0578182
Abkhazia	0.0577764
"Outer Banks"	0.057678
Lucknow	0.0574749
Malvinas	0.0574398
Cartagena	0.0573057
Cabinda	0.0572964
Yichang	0.0565592
Gauteng	0.05591
Newfoundland	0.0558296
Vedeno	0.0557719
Solomons	0.0557478
Zhuhai	0.0555414
Malacca	0.0552729
Golcuk	0.0552382
"Camp Zeist"	0.0550275
"St. Kitts and Nevis"	0.055001
LANIER	0.0548123
"Jefferson City"	0.054758
Dominica	0.0546899
"South Atlantic"	0.0544315
Labuan	0.0542703
Jalalabad	0.0538889
Chittagong	0.0538235
Pailin	0.0537133
"Heryanto Arbi"	0.0535113
Tasmania	0.0534138
"over four"	0.0532826
Aruba	0.0532739
Suez	0.0530786
"Hilton Head"	0.0528263
Kupang	0.0527581
"Pulau Pinang"	0.0520517
"South Georgia"	0.0520211
Gnjilane	0.0519833
Yekaterinburg	0.051692
subdistrict	0.0516335
"Red Sea"	0.0516265
Fremont	0.0514774
regency	0.0513731
Vientiane	0.0510729
"Yayuk Basuki"	0.0508933
Maguindanao	0.0508764
"St. Lucia"	0.0508359
sanatorium	0.0506885
Galapagos	0.0505993
Jekyll	0.0505877
Chatham	0.0503635
"Liberian capital"	0.0502804
"St. Thomas"	0.0502293
forbidden	0.0502
"Malaysian capital"	0.0501174
Wenzhou	0.0501092
Almaty	0.0499134
Talipao	0.0498572
Kwazulu-Natal	0.0498534
el-Sheikh	0.0496679
"East Nusa Tenggara"	0.0496676
Stockbridge	0.0496227
Blace	0.0496181
"Taufik Hidayat"	0.0495485
Caprivi	0.0490914
Uvira	0.0486849
"Indian Ocean"	0.0485334
Ningbo	0.0483553
Guadeloupe	0.0483209
Riau	0.0481308
Wuxi	0.0480803
Hongkong	0.0479688
EPZs	0.0478869
"Entebbe International Airport"	0.0478287
Sindh	0.047795
"Nigerian capital"	0.0470288
Essen	0.0465809
KO	0.0464654
export-oriented	0.0462932
"San Cristobal"	0.0462504
"West Kalimantan"	0.0462277
Mullaitivu	0.0462266
Kraljevo	0.0462235
Trincomalee	0.0462085
Penang	0.045957
Krasnoyarsk	0.0459412
Vanuatu	0.0455739
"Arabian Sea"	0.045544
Merca	0.0455069
Shiraz	0.0453861
Denpasar	0.0452897
"Export Processing Zones"	0.0452637
Kargil	0.0451927
"Three Mile"	0.0450123
"Nuevo Laredo"	0.0447748
Puebla	0.0447699
Najaf	0.0446695
))
(batboy (desc 1223.61) (sims
pallbearer	0.133332
"pitching coach"	0.123939
"sounding board"	0.10032
player-coach	0.0943894
"fall guy"	0.0939711
paraplegic	0.0916543
"chairman emeritus"	0.0903689
groundskeeper	0.0881462
"Todd Jones"	0.0839268
"black sheep"	0.0835541
"farm team"	0.0789242
"Dave McGinnis"	0.0753841
scoutmaster	0.0750685
infantryman	0.0718159
"art director"	0.0714326
farmhand	0.0706241
place-kicker	0.0701787
"important person"	0.0700168
"altar boy"	0.0695194
guidepost	0.0691818
"measuring stick"	0.0688419
"whipping boy"	0.0687949
concertmaster	0.0685738
"postmaster general"	0.0684802
quadriplegic	0.0681424
Chinese-American	0.0679549
"second baseman"	0.0678336
two-hitter	0.0672321
troubleshooter	0.0667054
ghostwriter	0.0666457
Postmaster	0.0666225
"best man"	0.0660402
"batting coach"	0.0646951
"base runner"	0.0644988
"punching bag"	0.0644792
"Jose Jimenez"	0.0644081
rainout	0.0640727
"guiding light"	0.0639852
"proving ground"	0.0635142
"line coach"	0.0633495
bookkeeper	0.062712
tune-up	0.0624614
"Brian Moehler"	0.0621157
minus-@	0.0620291
"staff officer"	0.0620269
schizophrenic	0.0619824
"Lou Brock"	0.0610268
drug-free	0.0607205
emcee	0.0602295
"safety valve"	0.0598994
"legal guardian"	0.0598556
"Jeff Weaver"	0.0596665
scriptwriter	0.0595775
Mario	0.0593448
organist	0.0590546
non-issue	0.0590277
"first pitcher"	0.0589681
co-president	0.0589303
"radio announcer"	0.0586891
whistle-blower	0.058589
infielder	0.0584622
nonentity	0.0577642
hemophiliac	0.0574101
gung-ho	0.0571892
"talent scout"	0.057054
speechwriter	0.056991
"rallying point"	0.0569481
"hired gun"	0.056928
punchline	0.0569169
stand-in	0.0563863
"center of attention"	0.0562169
"Deep Throat"	0.0561392
"foster parent"	0.0559782
workhorse	0.0559131
figurehead	0.0557186
"government minister"	0.0557083
"Boomer Esiason"	0.0555749
"finance chief"	0.0554347
understudy	0.0552557
"spark plug"	0.0551008
"chairman of the board"	0.0550383
DH	0.0549789
arranger	0.0549433
Caddy	0.0548525
"math teacher"	0.0547898
snapper	0.0544548
"prime mover"	0.0544273
"test pilot"	0.0544009
"second person"	0.0542569
"designated hitter"	0.0541794
"mentally retarded"	0.0541436
weatherman	0.0540357
"traffic cop"	0.0539846
"medical officer"	0.0537601
"reference point"	0.0536078
"Don Baylor"	0.053506
gatekeeper	0.0534813
goal-scorer	0.0531974
"staff sergeant"	0.0531965
"hockey coach"	0.0531691
"guardian angel"	0.0531575
"heir apparent"	0.0529773
"front man"	0.052865
"management consultant"	0.0527745
"solicitor general"	0.0527269
"Larry Centers"	0.0525664
AWOL	0.0522683
"certified public accountant"	0.0521224
kingmaker	0.0520807
ringmaster	0.0520609
"chief administrative officer"	0.0518988
preteen	0.05174
"lightning rod"	0.0517124
techie	0.0516006
chaperone	0.0515533
motivator	0.0514498
"purchase contract"	0.0514245
"director of research"	0.051378
"good person"	0.0510838
baserunner	0.0509844
"floor leader"	0.0506213
"executive officer"	0.0505984
ensign	0.0505849
"waiting area"	0.0500471
"sales manager"	0.0499089
"relief pitcher"	0.0497196
"weather vane"	0.0496259
"master of ceremonies"	0.0496039
"welfare worker"	0.0495508
"right-hand man"	0.0495287
rector	0.0493042
"eagle scout"	0.0492694
"drawing card"	0.0492148
corporal	0.0491575
"union representative"	0.0491216
"law student"	0.0489239
"first Head"	0.0487993
G.M	0.048738
Deacon	0.0486935
underpinning	0.0485069
"point of entry"	0.0483551
punter	0.0483356
"Frank Sanders"	0.0483125
"maintenance man"	0.0482505
hairstylist	0.0478836
go-between	0.0478346
play-by-play	0.0477608
doer	0.0476134
"Lomas Brown"	0.0475874
"Ron Tugnutt"	0.0475451
"top dog"	0.0474742
lifer	0.04744
"Adrian Murrell"	0.0472409
"Matt Morris"	0.0471372
screamer	0.0471166
"big leaguer"	0.0470892
"hunting ground"	0.0470786
headhunter	0.0469807
"ground crew"	0.0468999
"decisive factor"	0.0468799
lackey	0.0468105
"won-lost record"	0.0467685
whiz	0.0465644
"costume designer"	0.0464674
Laker	0.0464345
Osmond	0.0464076
"drug user"	0.0463685
"window dressing"	0.0463511
balm	0.0460205
Litigator	0.0459709
antiseptic	0.0459019
"J.D Drew"	0.0458948
"guinea pig"	0.04589
"determining factor"	0.0458868
miler	0.0457482
interlocutor	0.0456572
"Pro Bowler"	0.0456092
"Tom Lampkin"	0.0455943
masseur	0.0455022
petitioner	0.0454095
trimmer	0.0453608
monarchist	0.0452274
"farm club"	0.0451995
"sports editor"	0.0451152
"eye opener"	0.0450783
"Rob Moore"	0.0450463
co-director	0.0450405
"object lesson"	0.0449703
setter	0.0449476
"black person"	0.044868
"minor leaguer"	0.0447921
vote-getter	0.0446145
"district manager"	0.0445404
"place mat"	0.0444616
perjurer	0.0444202
hothead	0.0443491
"powder keg"	0.0442869
"senior executive"	0.0441291
"professional golfer"	0.0440883
"pain in the neck"	0.044027
))
(batch (desc 42870.2) (sims
consignment	0.110729
quantity	0.0951776
shipment	0.0928362
planeloads	0.0928208
"large number"	0.0897121
planeload	0.0887533
tranche	0.0867218
truckload	0.0845264
"more than @@@ tons"	0.0839934
"about @@ tons"	0.0800073
number	0.0789347
copy	0.0766368
total	0.0755642
hundred	0.0754317
installment	0.075151
worth	0.0751264
thousand	0.0728132
contingent	0.0726837
stack	0.0723156
amount	0.0717278
dozen	0.0716377
sample	0.0701709
supply	0.0697668
"about @@@ tons"	0.0687373
"more than @@,@@@ tons"	0.0681291
container	0.0671127
"more than @,@@@ tons"	0.0654982
photocopy	0.065324
packet	0.0650694
"more than @@@,@@@ tons"	0.0645232
bulk	0.0645013
trove	0.064481
load	0.0640512
ton	0.0639121
collection	0.0638101
type	0.0634643
cache	0.0630864
piece	0.0630516
handful	0.0626412
production	0.0621329
version	0.0617996
squadron	0.0616024
battalion	0.0614666
bag	0.0613278
slew	0.0612015
volume	0.0608353
portion	0.0605766
variety	0.0598417
issuance	0.0589994
package	0.0589308
delivery	0.0583743
convoy	0.0582748
bundle	0.0582584
phase	0.0579911
boatload	0.0573336
kind	0.0569436
busload	0.0568163
pot	0.056243
sale	0.0561298
pile	0.055911
carton	0.0558384
bowl	0.0556038
tonne	0.0553333
crop	0.055072
influx	0.0547784
box	0.0546294
ream	0.054258
array	0.0538027
pair	0.0537701
item	0.0534869
generation	0.0534665
"about @@@,@@@ tons"	0.0531212
layer	0.0527969
assortment	0.0522945
dose	0.051977
import	0.0518965
component	0.0515308
half	0.0512391
series	0.0510938
fleet	0.0509253
album	0.0507973
chunk	0.0506354
entry	0.0504027
parcel	0.0503545
stockpile	0.0503422
output	0.0502688
meal	0.049926
disbursement	0.0497931
distribution	0.0496881
edition	0.0496507
stream	0.0495629
lot	0.049557
wave	0.0493331
selection	0.0490923
importation	0.0490339
reinforcement	0.0489086
armada	0.0487011
kg	0.0485961
catalog	0.0485817
bunch	0.0482548
dish	0.0482511
withdrawal	0.0482235
"about @@ percent"	0.0481811
glut	0.0481069
several	0.0479939
category	0.0479936
kit	0.0477011
recipient	0.0476191
cargo	0.0474902
jar	0.0474423
food	0.0472886
application	0.0472607
donation	0.047246
quality	0.0472423
tray	0.0471259
survey	0.0470003
arrival	0.046549
backlog	0.046183
paragraph	0.0461588
delegation	0.0460975
supplier	0.0459365
material	0.0458523
cassette	0.0458405
offering	0.0457003
egg	0.0456692
vessel	0.0456135
flood	0.0456003
document	0.0455991
compilation	0.045448
goods	0.0454327
equipment	0.0452657
shortage	0.0451077
remains	0.04508
publication	0.0449653
plane	0.0449595
aircraft	0.0449067
"new line"	0.0448707
producer	0.0448569
ingredient	0.0447855
bottle	0.0446777
processing	0.0444197
loan	0.0443969
fragment	0.0442736
breed	0.0442083
allotment	0.0441723
page	0.0441212
introduction	0.044118
possession	0.044084
sales	0.0440383
"freshman class"	0.0440148
CD	0.0438988
majority	0.0438355
prototype	0.0437456
Vaccine	0.0437265
vial	0.0436339
discovery	0.0436251
crate	0.0436232
vehicle	0.0435484
"Eighty percent"	0.0435025
mixture	0.0434509
crew	0.0434192
"production line"	0.0434137
unit	0.0432817
Six	0.0432176
brand	0.043199
"one third"	0.043129
preparation	0.0431036
truck	0.0430962
cluster	0.0429956
repatriation	0.0429858
blender	0.042929
million	0.0426589
inspection	0.0426352
buyer	0.042629
slice	0.0426231
content	0.0424162
plenty	0.0423862
disc	0.0422756
corps	0.0422426
Tonnage	0.0422126
platoon	0.0421698
deluge	0.0421097
sum	0.0420732
segment	0.0420465
cadre	0.0419917
exporter	0.0419606
inventory	0.0419315
analysis	0.0418682
maker	0.0417993
seizure	0.0417406
harvest	0.0417377
letter	0.0416849
Exhibition	0.0416337
oil	0.0415801
abundance	0.0415391
none	0.0414587
booklet	0.0414416
Embryo	0.0414238
"crew member"	0.0413298
pan	0.0413017
))
(Bateman (desc 823.151) (sims
Hayworth	0.169175
Gibbons	0.146538
Chenoweth	0.136838
"William Weld"	0.101836
Boehner	0.101642
Flanagan	0.0945138
Moran	0.0903798
Dickey	0.0901643
Traficant	0.089458
Mease	0.0880256
"Majority Whip Tom DeLay"	0.0868185
Walden	0.0848714
"Gary Johnson"	0.0846448
looper	0.0841006
Zuma	0.0820969
Grasso	0.0814921
Kasoulides	0.0797533
Ruehe	0.0781715
Bartlett	0.0781513
McDuff	0.0781268
Rais	0.0780813
"David Schippers"	0.0780537
Seleznyov	0.0774647
Coburn	0.0772742
Barr	0.0771727
"Bill Thomas"	0.0771583
Lockyer	0.0769913
Byers	0.0764972
Eizenstat	0.0757489
Ruggiero	0.0755959
Neulander	0.0754145
Ciampi	0.074101
Nemtsov	0.073737
Shipman	0.0737079
"Christopher Shays"	0.0736118
Merritt	0.0731049
Sheehan	0.0730346
Jelisic	0.072088
Chabot	0.0709385
"Bernard Sanders"	0.0707322
Shamshad	0.0704318
Shulman	0.0703995
Sezer	0.0702194
Marulanda	0.0696435
Beilin	0.0694713
Cepeda	0.0694023
Hanley	0.0692076
Rankin	0.0679115
Sheng	0.0674189
McManus	0.0673105
Lugar	0.0673024
Brundtland	0.0668984
Bustamante	0.0668842
"Gordon Smith"	0.0666955
Azad	0.0664174
Fleischer	0.0662728
Wolfson	0.0658282
Newsome	0.0656388
"Tom Campbell"	0.0654281
Stoyanov	0.0651885
Piot	0.0651809
"John Linder"	0.0651602
COYNE	0.0648558
Eubanks	0.0648088
Lawler	0.0647908
Nebiolo	0.0646665
Kirkpatrick	0.0643395
"Patsy Ramsey"	0.0642898
Sumaye	0.0642043
"Linda Smith"	0.0640866
Barrasso	0.0640182
"Curt Weldon"	0.0636531
McLeod	0.0636383
Grachev	0.0633983
"Jim Nicholson"	0.0631048
D.A.	0.062612
Fieger	0.0624902
Valenti	0.0622863
Musa	0.0621914
Susann	0.0619105
Komura	0.0618678
Yastrzhembsky	0.0618467
Rideau	0.0617184
Mattysse	0.0615382
Pastore	0.0614491
Fernandes	0.0614335
Montiel	0.0607981
Faulder	0.0605992
Soares	0.0603298
Barrionuevo	0.0602602
Banzer	0.0602463
Klima	0.0601421
Markey	0.060041
Barshefsky	0.0600189
Cui	0.0599515
"Rae Carruth"	0.059842
Markovic	0.0598176
Titov	0.0597472
Berkowitz	0.0596243
Imperatori	0.0596056
Bruton	0.05958
Maslyukov	0.0595675
"David Beasley"	0.0594958
Zeroual	0.0594533
"John Chafee"	0.059452
Advani	0.0592855
Kyprianou	0.0592076
Godwin	0.0591693
Villanueva	0.0591693
Rong	0.05908
Azizah	0.0588363
Gravano	0.0588338
"Loretta Sanchez"	0.0585048
Lampkin	0.0580596
Halloran	0.0579841
Gilman	0.0579684
Rawabdeh	0.0578958
Cooley	0.0578759
Rogan	0.0577844
Kolbe	0.0577688
Goode	0.0577638
Dinkins	0.0577167
Shareh	0.0576531
Jarrell	0.0576424
Schell	0.0575146
Hage	0.0574624
Nkomo	0.0574516
Insulza	0.0574486
Biden	0.0573147
Ratner	0.0569063
Edelstein	0.056824
"Ted Stevens"	0.0568101
Margolis	0.0567926
Berman	0.0567124
Jaffe	0.0566087
Ashrawi	0.056575
Neilson	0.0565641
"Christine Todd Whitman"	0.0564556
Majko	0.0563824
Stroyev	0.0563133
Kan	0.0562816
"Dennis Hastert"	0.0562465
Hiett	0.0562259
Izetbegovic	0.0561422
Modise	0.0561367
Weldon	0.0560232
Thibault	0.0559573
Groscost	0.0559505
Babcock	0.0559135
Ben-Ami	0.0557607
"Mark O. Barton"	0.0557423
Yount	0.0557009
Krajisnik	0.0556955
Swango	0.0556913
Klink	0.0553718
"Dwight D. Eisenhower"	0.0551214
Guterres	0.0550993
Carmichael	0.0549086
Klestil	0.0549078
Einhorn	0.054891
"James Inhofe"	0.0548505
Takeshita	0.0546912
Bhattarai	0.0543238
Nazarbayev	0.0543017
Locke	0.0540706
Sakakibara	0.0540337
Kyl	0.053995
"John Boehner"	0.0538285
"Spencer Abraham"	0.0537279
Charest	0.0537188
Elliot	0.0535855
Singson	0.0535223
Daft	0.0534948
"Maturino Resendiz"	0.0534477
"De Soto"	0.05343
"British government"	0.0534174
TDB	0.053388
Phills	0.0533398
Manuel	0.0533251
ex-husband	0.0532094
Bautista	0.053089
Balaguer	0.052864
"La Russa"	0.0528444
Waigel	0.0527892
"Susan Collins"	0.0527692
Conroy	0.0527641
Blackthorne	0.0526595
Beazley	0.0525271
Blatter	0.0524605
Leland	0.052449
Anand	0.0523354
"Don Nickles"	0.0523047
Shelby	0.0523031
Hensley	0.0522815
Inhofe	0.0521232
Qureshi	0.0521009
Ikimi	0.0520845
"Russell Feingold"	0.0518481
Finkel	0.0517935
Rubenstein	0.0517427
))
(Bates (desc 6955.32) (sims
Godfrey	0.0969778
Daniels	0.0908401
Sheppard	0.0901879
Cline	0.0894131
Cooke	0.0884898
Sanders	0.0881574
Mendez	0.087216
Ramsey	0.0869682
Shriver	0.0850048
Stackhouse	0.0839908
Flores	0.0839609
Greenwald	0.0820555
Haskins	0.0816897
Meissner	0.0814764
Forrest	0.0811158
Tilberis	0.0805366
Peterson	0.0803966
Aquino	0.0796374
Mott	0.0792664
Evans	0.07915
Willis	0.0790797
McCartney	0.079075
Irwin	0.0778795
Abram	0.0775709
Dixon	0.0770656
Watkins	0.0770241
Hess	0.0769271
Postel	0.0764444
Harris	0.0764024
Rogers	0.0761696
Bowers	0.076128
Loeb	0.076027
Torres	0.0753321
Farber	0.0751648
Rosenberg	0.0750692
Watson	0.0748098
Dunham	0.074637
Grimes	0.0745439
Morrison	0.0744736
Pittman	0.0744405
Owens	0.0744256
Menchu	0.0741085
Ziegler	0.074011
Hawkins	0.073984
fisher	0.0739411
Arbour	0.0738924
Kirby	0.0737941
Phillips	0.0737819
Huggins	0.0736987
Weiner	0.0734157
Sullivan	0.0730387
Lombardi	0.0729527
Davies	0.0727358
Mann	0.0724716
Gotti	0.0723535
Roberts	0.0723349
turner	0.0723261
Madden	0.0722795
Goldstein	0.0721591
Holmes	0.0720225
Brooks	0.0719249
Edwards	0.0717807
Briscoe	0.0715619
Henley	0.0715464
Byrne	0.0714372
Weil	0.0713636
O'Hara	0.0713175
Contreras	0.0712929
Lundberg	0.0712555
Grunwald	0.0711932
Russo	0.0711869
Hartman	0.0710829
Yates	0.0710329
Markovic	0.0708803
Johnston	0.0708708
Pearce	0.0707361
Kirkpatrick	0.0705884
Ellis	0.0705694
Copeland	0.0705475
Doherty	0.0705225
Gonzales	0.0704602
Fagan	0.0704382
Mahoney	0.0704084
Adams	0.0703515
Hersh	0.0703206
Slatkin	0.0702174
Merritt	0.0701516
Fiorina	0.0699156
Mathews	0.0699127
Quintero	0.0697015
Anderson	0.0696465
Ebersol	0.0696272
McGrady	0.0693303
Lyons	0.0692157
O'Leary	0.0691564
Sharma	0.0688
Stewart	0.0687841
Bhutto	0.0686624
Townsend	0.0685509
Fink	0.0684735
Arron	0.0682558
Layden	0.0682301
Unser	0.0682078
Farrell	0.0679822
Thornton	0.0677758
hale	0.0674958
Henning	0.0674471
Michaels	0.0670713
Salinas	0.0670668
Powell	0.0670643
Parsons	0.0670635
Roberson	0.0669858
Berenson	0.0667951
Jimenez	0.0667343
Barrymore	0.0667168
Camacho	0.0665333
Jones	0.0665058
Hecht	0.0664111
Lawler	0.0663892
Williams	0.0663379
Hayes	0.0662977
Seymour	0.0662498
Quinn	0.066169
Matthews	0.0660065
Higgins	0.0659158
Powers	0.0656848
Hagen	0.0655974
Rowan	0.0655681
Griffiths	0.0655672
Stevens	0.0654943
Baez	0.0653582
Donahue	0.0653178
Whaley	0.0652942
Cheever	0.0652167
Flaherty	0.0652114
Shurmur	0.0652013
O'Connor	0.0651783
Halberstam	0.0650171
Jacobs	0.0648341
Clements	0.0648164
Macdonald	0.0648071
Hatfield	0.0647182
Hoffman	0.0646988
Saunders	0.0646191
Welch	0.0644819
Ashrawi	0.06439
Stevenson	0.064372
Ricart	0.0641602
Webb	0.0641297
Thomas	0.0641179
McDonald	0.0641128
Brazile	0.0639955
Haines	0.063898
Steele	0.0638908
Wallace	0.063861
Zambrano	0.0638462
Meyer	0.0638118
McGrath	0.0638041
Matthaeus	0.0636095
Greenberg	0.0634699
Morales	0.0634561
McCoy	0.0633775
Levin	0.0633321
Autry	0.0632224
Kimes	0.0631891
Phills	0.0631142
Barton	0.0631085
Ramirez	0.0630381
Rivlin	0.0630333
Blackman	0.0630271
Oates	0.0630205
Boyle	0.0629531
Schmidt	0.0629531
Coleman	0.0628534
collins	0.0627734
Akers	0.0627484
Clark	0.0627092
Lindbergh	0.0626935
Olson	0.0626714
Wiggins	0.0626009
McDonnell	0.0624995
Hiett	0.0624214
Chu	0.0623666
Atwater	0.0623452
Hughes	0.0622995
McDaniel	0.0622829
Davidson	0.062232
Newhouse	0.0622207
Mcbride	0.0622157
Schwartz	0.0621913
Kaplan	0.0621407
Reyes	0.0619739
Brady	0.0619672
Myers	0.0619211
Ross	0.0618646
Stephens	0.0618504
Garcia	0.0618375
McCormack	0.0617611
Davis	0.0617485
Garrett	0.0616378
))
(bath (desc 27793.6) (sims
tub	0.149434
kitchenette	0.132701
bathroom	0.118096
bathtub	0.108815
fireplace	0.0993171
shower	0.0953247
kitchen	0.0951825
sauna	0.0926394
bedroom	0.091148
Jacuzzi	0.0901925
"sitting room"	0.0824538
"swimming pool"	0.0812632
toilet	0.0805369
"dining room"	0.0771274
pool	0.0767756
SPA	0.0758381
"family room"	0.0736483
"living room"	0.0731753
room	0.0725318
whirlpool	0.0719873
"dining area"	0.071367
refrigerator	0.0705269
bed	0.069868
furniture	0.0680233
parlor	0.0643044
breakfast	0.063131
garden	0.0627422
massage	0.0621429
suite	0.0615958
stove	0.061168
veranda	0.0607789
"wine cellar"	0.0603675
oven	0.0576953
terrace	0.0574673
pot	0.057411
meal	0.0570665
fountain	0.0563946
laundry	0.0561657
garage	0.0560693
patio	0.0557475
balcony	0.0553831
playroom	0.0550718
furnishings	0.0549974
"bunk bed"	0.054908
closet	0.054558
dish	0.0545419
conditioning	0.054479
appliance	0.0542527
den	0.0537294
decor	0.0531692
ceiling	0.0525618
"pool table"	0.0523355
"microwave oven"	0.0521774
restaurant	0.0519395
washing	0.0519031
lounge	0.0516955
"dressing room"	0.0515671
bottle	0.0514641
basement	0.0510918
"water tank"	0.0504161
library	0.050406
gym	0.050243
sofa	0.0500619
hotel	0.0500603
amenity	0.0500029
jar	0.0493577
pan	0.0489938
seating	0.0488509
lavatory	0.0488139
floor	0.0485543
pond	0.048326
VAT	0.0481704
accommodation	0.0480114
stereo	0.0479685
cabin	0.0479479
apartment	0.0477378
porch	0.0476548
restroom	0.0476177
pantry	0.0475292
bowl	0.0472585
Clothing	0.0472218
courtyard	0.0471543
tile	0.0467275
bathing	0.0466776
spas	0.0465237
elevator	0.0465075
flooring	0.0464826
dinner	0.0464696
canteen	0.046366
snack	0.0460551
mattress	0.0458261
buffet	0.0456437
hallway	0.0455983
kettle	0.045301
nursery	0.0451427
locker	0.0450436
foyer	0.044997
cafe	0.0449465
container	0.0448874
staircase	0.0448487
deck	0.0447693
radiator	0.0446662
lamp	0.0445983
glass	0.044501
"hotel room"	0.0442983
cloth	0.0442184
marinade	0.0442141
carpet	0.0442115
syrup	0.0440972
lake	0.0440057
VCR	0.0438458
sculpture	0.0435968
Bathhouse	0.0434606
microwave	0.0434424
plumbing	0.0433912
jewelry	0.0433787
faucet	0.0433051
lunch	0.0430251
cupboard	0.0430228
tent	0.0429884
cooking	0.0428821
beverage	0.0427982
pipe	0.0426507
"beauty salon"	0.0426149
couch	0.0425936
Liquid	0.0425775
interior	0.0425694
inn	0.0421417
"television set"	0.0421308
towel	0.042077
"tennis court"	0.0420278
dining	0.0419741
salon	0.0419003
"hot spring"	0.0416142
paneling	0.0415941
"ice water"	0.0415415
bucket	0.0415317
cellar	0.0413874
blanket	0.0412613
shelter	0.0411369
"locker room"	0.0411163
freezer	0.0410345
lodging	0.0403708
flavor	0.0402488
air-conditioning	0.0402431
NAP	0.0401209
cleaning	0.040111
grill	0.0400827
supper	0.0400605
shopping	0.0400434
))
(bather (desc 2229.9) (sims
sunbather	0.0845426
skydiver	0.0740251
triathletes	0.0730285
"woman's body"	0.0655415
celebrant	0.0632065
derriere	0.062855
vaulter	0.0621052
"robbery suspect"	0.0610973
wretch	0.0610392
crewmates	0.0601592
"right whale"	0.0562082
passerby	0.056174
hiker	0.0556459
stone-throwers	0.0555905
self-portraits	0.0551398
"belly dancer"	0.055069
stowaway	0.0548473
Athenian	0.0547084
protestor	0.0544778
boater	0.0541203
bathing	0.0536386
Picassos	0.0535466
etching	0.0532191
Beijingers	0.0529891
passers-by	0.0528723
weightlifter	0.0526592
picnicker	0.05253
Muscovite	0.0524854
"Bengal tiger"	0.0524092
concertgoers	0.0516504
"sea otter"	0.0514677
lifter	0.0512168
passersby	0.0509823
genital	0.0503481
shoplifter	0.0502842
homebuyers	0.0499112
boarder	0.0498362
partygoer	0.0496951
"beer drinker"	0.0496912
"North Africans"	0.0487234
draftee	0.0486998
"volleyball player"	0.0486771
pedestrian	0.048398
townsfolk	0.0483328
townspeople	0.0480368
corpse	0.0479427
bikers	0.0477266
intruder	0.0476801
"blue whale"	0.046832
"summer house"	0.0467329
watercolor	0.046687
enlistee	0.046562
stripper	0.0464951
upperclassmen	0.0464386
"killer whale"	0.046321
crewmembers	0.0462493
householder	0.046179
motorcyclists	0.0461319
amulet	0.0460159
mourner	0.0460119
puppeteer	0.0452113
"sex hormone"	0.0451843
"Lin Li"	0.0451491
scalpers	0.0450253
Bosnians	0.0447163
"Albanian Kosovars"	0.0445934
worshipper	0.0445764
deportee	0.0440406
swan	0.0439293
torso	0.0437791
nudist	0.0435007
holidaymaker	0.0432243
Macaque	0.043145
beekeeper	0.0430336
evacuee	0.0430331
"square mile"	0.042729
kindergartners	0.0426952
telemarketers	0.0421824
student-athletes	0.0421584
ex-mayor	0.0419616
mermaid	0.041959
cicada	0.0419523
temp	0.0418156
reveler	0.0417818
marcher	0.0417664
shuttlers	0.0415653
duffer	0.0415528
"Russian Jews"	0.0415419
conscript	0.0414925
Navajos	0.0413905
onlooker	0.041303
percussionist	0.0411891
bystander	0.0411815
tumbler	0.041093
illegals	0.0410402
returnees	0.0408633
"pole vaulter"	0.0405582
backpackers	0.0404279
"No. @s"	0.0403916
"day laborer"	0.0403702
ladybug	0.0402494
dieters	0.0401752
balloonist	0.0400208
))
(Bathhouse (desc 3926.41) (sims
"game room"	0.0965735
Jacuzzi	0.0885779
campgrounds	0.0875562
"beauty salon"	0.0801297
spas	0.0796034
tavern	0.0795408
"dance hall"	0.078669
SPA	0.0785614
teahouse	0.0763643
"liquor store"	0.0758004
parlor	0.0757724
saloon	0.072703
"skating rink"	0.07164
"hardware store"	0.0714198
"tennis court"	0.0700097
"house of worship"	0.0695066
"art gallery"	0.069189
"bowling alley"	0.0691568
"ice rink"	0.0674856
brothel	0.0669122
"swimming pool"	0.0655739
"community center"	0.0652942
pub	0.0647718
gym	0.0639052
"general store"	0.0637017
carport	0.0636024
crematorium	0.063084
"dairy farm"	0.0629919
Marina	0.0629378
distillery	0.06192
"public toilet"	0.0618982
hangout	0.0613255
bookstore	0.0610981
"planning board"	0.0606841
disco	0.0603718
pizzeria	0.0592793
synagogue	0.059181
Aqueduct	0.0585742
"Jewish Museum"	0.0585526
bed-and-breakfasts	0.0581987
"nursery school"	0.0581223
playroom	0.05763
sawmill	0.0573361
restroom	0.0567134
"entertainment center"	0.0566988
pier	0.056604
edifice	0.0563154
amphitheater	0.0562737
"Civil Rights Act"	0.0562168
"grocery store"	0.0561513
"Union Station"	0.0560284
"clothing store"	0.0558963
salon	0.0557057
"concert hall"	0.0556526
"Erie Canal"	0.0554838
campsites	0.0551437
"shopping center"	0.0550158
"textile mill"	0.054995
"watering hole"	0.054877
"educational institution"	0.0547175
"water system"	0.0546748
"Rainbow Room"	0.054522
discotheque	0.0544621
"town house"	0.0544462
minibuses	0.0543263
stables	0.0543202
cafeteria	0.0541444
"movie theater"	0.054134
nightspots	0.0540453
"bomb shelter"	0.054007
"Georges Bank"	0.0539041
cinema	0.0538981
cannery	0.0537254
"day care center"	0.0537164
"Radio City Music Hall"	0.0536678
bakery	0.0535127
"fire station"	0.0533438
"employment agency"	0.0531666
"pool table"	0.053154
"law practice"	0.0530998
"medical institution"	0.0519777
florist	0.0519106
"opera house"	0.0518769
bistro	0.051816
playground	0.051742
motel	0.051619
sauna	0.0515418
Supercenters	0.051503
coffeehouse	0.0513686
bordello	0.0512367
"access road"	0.0510142
eateries	0.0509532
nightclub	0.0508053
"post office"	0.0506991
"department store"	0.0506615
nonprofits	0.0505714
deli	0.0504626
"convenience store"	0.050418
inn	0.0503067
"three schools"	0.050283
hostel	0.0501864
bathing	0.050005
storefront	0.0499117
"wine cellar"	0.0498375
"Federal District Court"	0.0496489
"candy store"	0.049431
"place of worship"	0.0494026
"beauty parlor"	0.0493954
"business establishment"	0.0493863
boutique	0.0493193
"gift shop"	0.0492114
"cattle ranch"	0.0488278
"amusement park"	0.0487616
infirmary	0.0487527
septuplets	0.0486251
"discount store"	0.0486038
taxicab	0.0485201
"gas station"	0.0484751
YMCA	0.0483371
rink	0.0481905
delicatessen	0.0481799
Crypt	0.0481362
"coffee shop"	0.0481194
"dry cleaner"	0.0480369
"specialty store"	0.0480253
"shoe store"	0.0480202
"elementary school"	0.0479259
"savings bank"	0.0479066
"civic center"	0.0478512
"day camp"	0.0477669
seminary	0.0476873
"dining area"	0.0475988
nightspot	0.0475874
"exhibition hall"	0.0475785
"butcher shop"	0.047544
"exercise equipment"	0.047437
"Jakarta Stock Exchange"	0.0473655
"shipping company"	0.0473627
"dining room"	0.0472909
"gas plant"	0.0470692
cistern	0.0470126
Shays-Meehan	0.0469281
"science museum"	0.0469267
"office building"	0.0468302
dwelling	0.0468113
seaport	0.0466012
brewery	0.0465304
"primary school"	0.0465082
speakeasy	0.0465023
landscaping	0.0464881
"weather satellite"	0.0464032
"child welfare agency"	0.0462608
"recreational facility"	0.0460949
"water company"	0.0460488
"railway station"	0.0460465
whirlpool	0.0458071
octuplets	0.0456095
Brasserie	0.0455717
chapel	0.0455135
drugstore	0.0454512
"movie house"	0.0454393
"bus company"	0.0454234
"soup kitchen"	0.0453294
"transportation system"	0.0452704
mosque	0.0452409
"basketball court"	0.0451014
"athletic facility"	0.0450741
"sewer system"	0.0450689
"botanical garden"	0.0449298
depot	0.044768
"Print Shop"	0.0446592
Cabana	0.0445407
waterworks	0.0445238
landfill	0.0445075
outbuilding	0.0444857
"filling station"	0.0443245
"conference center"	0.0443072
"Mount Sinai Hospital"	0.0441302
"jewelry store"	0.0441091
"Penn Station"	0.0439289
"resort hotel"	0.0435058
caterer	0.0434123
bookshop	0.0433369
brownstone	0.0432351
"oil refinery"	0.0431023
"Human Rights Commission"	0.0430289
"travel agency"	0.0430127
"No. @s"	0.04296
"telephone network"	0.0429305
Hotlines	0.0427245
B-@s	0.0425283
"pizza parlor"	0.0424242
"gambling casino"	0.0423212
"Washington Monument"	0.0422951
"main office"	0.0421907
abattoir	0.0421316
"service station"	0.0421284
"baseball diamond"	0.0420027
Mapes	0.0420026
"summer camp"	0.041839
))
(bathing (desc 3420.19) (sims
sunbather	0.0705745
snorkeling	0.0677333
state-level	0.0653307
washing	0.062389
"garbage disposal"	0.0619221
bather	0.0536386
pinup	0.0521033
Bathhouse	0.050005
mating	0.0488827
boating	0.0479203
feeding	0.0472746
circumcision	0.0469909
acupuncture	0.0466346
"mountain climbing"	0.0457958
Deerfield	0.0452702
"dark red"	0.0449871
dining	0.0448593
Haj	0.0426403
SIESTA	0.0425511
yoga	0.0423039
"Beijing Opera"	0.0419641
"scuba diving"	0.0417072
polygamy	0.0416018
"Beibu Gulf"	0.0411902
"South Beach"	0.0404805
ordination	0.040142
))
("bathing suit" (desc 6374.53) (sims
swimsuit	0.252594
bikini	0.19275
pajama	0.166676
sweatshirt	0.149871
underwear	0.148405
"hot pants"	0.143714
bra	0.138832
tights	0.13818
leotards	0.135983
Swimwear	0.134737
"ball gown"	0.133487
"evening gown"	0.130844
camisole	0.129583
"fur coat"	0.12605
jumpsuit	0.125251
lingerie	0.125097
sandal	0.124795
bathrobe	0.124753
panty	0.124732
gown	0.123416
"sweat pants"	0.123079
sweater	0.122023
"evening dress"	0.120678
sunglasses	0.120243
"leather jacket"	0.119527
pant	0.119407
"tennis shoe"	0.119099
raincoat	0.116847
jean	0.115974
sock	0.115482
legging	0.115241
headband	0.114759
"military uniform"	0.114742
"baseball cap"	0.113573
wig	0.113485
beret	0.113205
"business suit"	0.112669
skirt	0.111941
shirt	0.111787
"cocktail dress"	0.111692
"blue jean"	0.111611
Bonnet	0.11055
trouser	0.109573
"feather boa"	0.109335
halter	0.108608
"polo shirt"	0.108044
cardigan	0.10699
Outfit	0.105668
shoe	0.105272
smock	0.104449
sarong	0.104285
pullover	0.103394
scarf	0.10324
robe	0.102657
coat	0.102282
slipper	0.10221
tunic	0.10216
T-shirt	0.101398
pantsuit	0.100685
sneaker	0.100067
blouse	0.100023
miniskirt	0.0995039
nightgown	0.0992854
"life jacket"	0.0984147
tuxedo	0.0983066
Poncho	0.0975334
miniskirts	0.096559
windbreaker	0.0950428
uniform	0.0948297
jacket	0.0940214
turtleneck	0.0935331
"sport shirt"	0.0934187
"running shoe"	0.0926022
"boxing glove"	0.0915948
"trench coat"	0.0909012
tux	0.0908976
"hard hat"	0.090735
turban	0.090232
"stiletto heel"	0.0901605
hat	0.0880109
getup	0.0878833
khaki	0.0875536
costume	0.0874647
pigtail	0.0872805
cloth	0.0872246
apron	0.0871734
underpants	0.0871068
overcoat	0.0867051
caftan	0.0862643
"dress uniform"	0.0861818
lipstick	0.0861421
bodice	0.0860348
flip-flop	0.0857986
"cowboy hat"	0.0853814
corset	0.0853414
frock	0.0849726
shawl	0.0842327
hosiery	0.0840857
Sari	0.0839815
"combat boot"	0.0838032
"cowboy boot"	0.0834988
boot	0.0830574
slack	0.0827703
parka	0.0827178
vest	0.0826802
Thong	0.0825543
bluejeans	0.0824567
coverall	0.0816847
bandanna	0.0816653
"wedding gown"	0.0814001
blazer	0.0807948
corduroy	0.0795095
G-string	0.0793675
"bow tie"	0.0786212
headdress	0.0783829
necktie	0.0783564
eyeglass	0.0773485
"nail polish"	0.0770061
undershirt	0.076735
"ski mask"	0.0763269
loafer	0.0759031
garb	0.0758428
stocking	0.0757194
kimono	0.0756066
sportswear	0.0754991
"name tag"	0.0752578
wristband	0.0749274
kilt	0.0748098
capris	0.0746441
BOA	0.0743091
pantyhose	0.0739873
fedora	0.073711
yarmulke	0.0729086
glove	0.0728391
blinder	0.0727279
handbag	0.0724943
Clothing	0.0723035
linen	0.0720087
"street clothes"	0.0718
pants	0.0716852
bellbottoms	0.0716311
chiffon	0.0715629
"life preserver"	0.0715565
moccasin	0.0715221
blackface	0.0713406
"straw hat"	0.070949
earring	0.0709009
"dress shirt"	0.0707441
leather	0.0706192
veil	0.0702193
bandana	0.0699234
jewelry	0.0696223
helmet	0.0695812
spandex	0.0692845
"wedding dress"	0.0692577
"mink coat"	0.0691772
"top hat"	0.0689248
trousers	0.0682606
jersey	0.0681611
hairpiece	0.0681279
suspender	0.0680792
Pantsuits	0.0678513
knickers	0.0676361
Tutu	0.0670764
headgear	0.0668926
petticoat	0.0666247
"body armor"	0.0663204
accessory	0.0659557
stiletto	0.065581
"rubber boot"	0.0651609
garment	0.0650899
towel	0.0645586
"dark glasses"	0.0642357
loincloth	0.0641966
camouflage	0.0634932
tiara	0.0633891
armband	0.0631579
bodysuit	0.0631397
cleat	0.0631155
Speedo	0.0628904
silk	0.062622
"sports jacket"	0.0624901
dreadlocks	0.0623055
Sash	0.0621603
blanket	0.0620293
makeup	0.0614028
bedspread	0.0613514
attire	0.0611652
diaper	0.0611447
mitten	0.0610404
handkerchief	0.0608568
bustier	0.0607958
satin	0.0606784
"life vest"	0.0603058
fur	0.0601661
bedding	0.0600884
"bed sheet"	0.0600687
backpack	0.0599993
barrette	0.0598016
duster	0.0595255
))
(bathrobe (desc 5374.86) (sims
pajama	0.179577
robe	0.16769
nightgown	0.163797
slipper	0.126995
"bathing suit"	0.124753
Sari	0.124675
underwear	0.121386
sweater	0.120336
sweatshirt	0.11656
tights	0.116475
"polo shirt"	0.109645
bandanna	0.108702
"military uniform"	0.10627
overcoat	0.105915
pantsuit	0.105574
jumpsuit	0.103371
"business suit"	0.102
smock	0.101956
cardigan	0.0992965
T-shirt	0.0980602
raincoat	0.0976648
"cowboy boot"	0.095762
"street clothes"	0.095611
jacket	0.0953693
"blue jean"	0.094881
caftan	0.094498
gown	0.0936613
coat	0.0933204
bikini	0.0933011
miniskirt	0.0929741
recliner	0.0925181
"evening gown"	0.0919756
bedspread	0.0914714
kimono	0.0899166
shirt	0.0891082
undershirt	0.0890051
turtleneck	0.0888292
apron	0.0882872
petticoat	0.0880892
headband	0.087997
wig	0.0872653
towel	0.0871688
blouse	0.0866141
"bed linen"	0.086467
"top hat"	0.0863962
scarf	0.0863927
"leather jacket"	0.0863253
garb	0.0862531
"tennis shoe"	0.0847716
jean	0.0845822
pullover	0.0845819
sandal	0.0844808
tunic	0.0839143
sock	0.0837878
"feather boa"	0.0833776
beret	0.0833445
skirt	0.0832254
tuxedo	0.0831929
pant	0.0831611
"bowler hat"	0.0821365
"hot pants"	0.0798772
bandana	0.0798072
handkerchief	0.0788762
linen	0.0785774
pillowcase	0.0784453
shawl	0.0781588
slack	0.0776443
"cowboy hat"	0.0775578
vest	0.077463
bellbottoms	0.0771992
"ski mask"	0.0771208
bra	0.0769502
"dress uniform"	0.0767889
"boxing glove"	0.0755838
swimsuit	0.0755145
trouser	0.0749887
bustier	0.0749323
camouflage	0.0742081
pajamas	0.0734525
"bow tie"	0.073271
"baseball cap"	0.0730107
corduroy	0.0727637
"evening dress"	0.0727056
"pants suit"	0.0726509
sunglasses	0.072217
"trench coat"	0.0721153
leotards	0.0720316
"straw hat"	0.0718656
"cocktail dress"	0.0716045
"prayer shawl"	0.0706838
headdress	0.070503
"hard hat"	0.0703699
Poncho	0.0694187
fatigues	0.0694138
"fur coat"	0.0694017
pompom	0.0693763
Sash	0.0689968
costume	0.0689154
knickers	0.0688771
bodysuit	0.0687131
"life jacket"	0.0686604
"mink coat"	0.0684157
G-string	0.0684123
Tutu	0.0682786
velvet	0.068027
blackface	0.0677359
hat	0.0674121
"teddy bear"	0.0667935
sneaker	0.0667894
bodice	0.0666938
wristband	0.0666215
fur	0.0663692
"wedding dress"	0.0661768
yarmulke	0.0657484
boot	0.0650116
"running shoe"	0.0649644
"dress shirt"	0.0646208
eyeglass	0.063854
brassiere	0.0636611
"wedding gown"	0.0635162
pillow	0.0632293
sarong	0.0629153
BOA	0.0624469
jersey	0.0624321
getup	0.0624147
halter	0.0623344
chiffon	0.062081
tablecloth	0.0619421
regalia	0.0616319
moustache	0.0615181
pinstripes	0.0614871
"Honda Civic"	0.0614509
suspender	0.0613597
curler	0.0609552
shorts	0.0607203
lingerie	0.0606736
pantyhose	0.060641
stocking	0.0605769
miniskirts	0.0604614
turban	0.060188
bib	0.0601256
leather	0.0599152
fedora	0.0596253
satin	0.0595952
"name tag"	0.0592125
"ball gown"	0.0588982
"life vest"	0.0585843
trousers	0.058511
attire	0.0581067
corset	0.0579046
"piece of cloth"	0.0579008
moccasin	0.0578759
"Jeep Cherokee"	0.0575903
"combat boot"	0.0573376
frock	0.0571338
diaper	0.0570753
glove	0.0568183
"easy chair"	0.0565103
underpants	0.0564769
braid	0.0564549
Cape	0.0562048
Bonnet	0.0561337
purple	0.0559245
lipstick	0.0553907
"evening bag"	0.0552995
blazer	0.055213
armband	0.0550784
"body armor"	0.0550568
camisole	0.054831
khaki	0.0547054
legging	0.0545657
tweed	0.0543623
coverall	0.0543277
"sweat pants"	0.0541164
Chino	0.0537831
comforter	0.0537786
"sport shirt"	0.0537299
Thermos	0.0534818
ribbon	0.0534731
parka	0.0530933
"sports jacket"	0.0530116
pigtail	0.0530042
earring	0.0526544
tux	0.0526452
mitt	0.0522735
headgear	0.0522438
panty	0.0522297
Thong	0.0521309
mitten	0.0521225
eyeliner	0.0520877
taffeta	0.0519995
"boarding pass"	0.0517592
skullcap	0.0512483
upholstery	0.0512079
goatee	0.0512017
"neck brace"	0.0511096
stiletto	0.0508673
"Toyota Corolla"	0.0507455
mule	0.0507121
gloves	0.0504405
))
(bathroom (desc 52279.4) (sims
restroom	0.257627
bedroom	0.198874
kitchen	0.186272
toilet	0.157795
room	0.154306
"living room"	0.145103
"dining room"	0.137247
lavatory	0.134225
basement	0.132906
closet	0.13208
garage	0.129308
hallway	0.126441
"rest room"	0.123413
"family room"	0.120355
bathtub	0.118336
bath	0.118096
tub	0.113713
"dressing room"	0.112371
fireplace	0.112016
apartment	0.110596
elevator	0.108907
"men's room"	0.106548
"parking lot"	0.100941
"sitting room"	0.100243
lobby	0.0993126
"master bedroom"	0.0991037
bed	0.0981995
gym	0.0980553
foyer	0.0976594
classroom	0.0975336
"locker room"	0.0971319
suite	0.095787
"conference room"	0.0939345
lounge	0.0936735
cabin	0.0924679
cafeteria	0.0914884
"swimming pool"	0.0901241
cubicle	0.0899831
space	0.089762
shower	0.0896616
floor	0.0878087
window	0.0870985
porch	0.0866646
locker	0.0856354
pool	0.0854587
house	0.0853077
library	0.085028
courtyard	0.0845469
parlor	0.0843989
wall	0.0840746
"hotel room"	0.0836695
balcony	0.0825811
refrigerator	0.0821907
dormitory	0.0820147
"dining area"	0.0814309
den	0.0813416
patio	0.0811931
"station house"	0.0808615
clubhouse	0.0801285
pantry	0.0801008
building	0.0799638
bar	0.0799271
hall	0.0798526
shop	0.0796067
cellar	0.0786619
door	0.0785245
courtroom	0.0784081
restaurant	0.0781824
gallery	0.0777041
office	0.0771922
garden	0.0769798
gymnasium	0.0768148
tent	0.0766949
ceiling	0.0766195
shed	0.0766139
terrace	0.0749104
booth	0.0747833
deck	0.0746048
stall	0.0743797
roof	0.0738998
"police station"	0.0736215
studio	0.0734601
outhouse	0.0726152
home	0.0722374
desk	0.0719104
hotel	0.0717529
plumbing	0.0717416
dorm	0.0712447
ballroom	0.0711269
barn	0.070991
stairwell	0.0708278
store	0.0708092
atrium	0.0706463
shelter	0.0703458
car	0.0703231
air-conditioning	0.0699668
"dorm room"	0.0695823
vestibule	0.0694991
box	0.0690609
dugout	0.0683172
stove	0.0683087
"operating room"	0.0680182
auditorium	0.0680056
table	0.0679787
"Oval Office"	0.0678515
Warehouse	0.0676094
chair	0.067553
cockpit	0.0670736
chapel	0.0670025
furniture	0.0661451
interior	0.0659492
"waiting room"	0.0656829
Jacuzzi	0.0656189
corridor	0.0655022
cab	0.0651123
doorway	0.06489
cafe	0.0647814
attic	0.0645681
cage	0.0644007
sauna	0.0642935
"bomb shelter"	0.0642277
chamber	0.0642023
alcove	0.0639766
cell	0.0638622
tunnel	0.0636803
entrance	0.0635978
pit	0.063524
motel	0.0630069
"back room"	0.0627535
"storage room"	0.0626547
courthouse	0.062623
galley	0.062576
sofa	0.0624753
fridge	0.0618456
loft	0.0617325
trunk	0.0615034
cave	0.061493
compartment	0.0611433
corner	0.0609172
trailer	0.0607974
yard	0.0607887
staircase	0.0607527
conditioning	0.0605351
cupboard	0.0604983
park	0.0604616
facility	0.0601157
Stairway	0.0595431
furnishings	0.0592139
front	0.0590835
latrine	0.059073
mattress	0.0585646
Alley	0.0583652
seat	0.0582286
vault	0.0581241
tile	0.0580959
carpet	0.057844
"apartment building"	0.0576514
hut	0.0574736
"tennis court"	0.0573906
street	0.0571397
oven	0.0570418
school	0.0569322
theater	0.0567047
veranda	0.0561942
terminal	0.0560985
bunker	0.0560846
neighborhood	0.0558125
freezer	0.0553673
"front door"	0.0553077
"trash can"	0.0552616
playground	0.0552541
pavilion	0.0552364
stadium	0.0552182
van	0.0551631
bookcase	0.0551333
"public toilet"	0.055046
cloth	0.0550003
"television set"	0.0549986
amenity	0.0549474
nursery	0.0549382
pipe	0.0547733
kiosk	0.0545496
parking	0.0545469
water	0.054546
"back yard"	0.0541163
"office building"	0.0541024
faucet	0.0540656
cottage	0.0539506
couch	0.0537746
stair	0.0535238
sprinkler	0.0535061
"jail cell"	0.0534304
carpeting	0.0534024
drawer	0.0533808
jail	0.053289
"gift shop"	0.0531897
rotunda	0.0531114
"mobile home"	0.0530947
decor	0.0530085
pond	0.0529016
))
("bathroom fixture" (desc 1216.61) (sims
"lighting fixture"	0.108567
sconce	0.103677
bric-a-brac	0.101236
linoleum	0.090276
paneling	0.0886423
"office furniture"	0.0806421
"kitchen appliance"	0.0806299
knickknack	0.0767213
armoire	0.0729017
"picture frame"	0.0722024
"interior decoration"	0.0705403
"piece of furniture"	0.0699763
chandelier	0.0691531
kitchenware	0.0658527
"card table"	0.0642836
drapery	0.0639124
handrail	0.0623066
"clock tower"	0.061937
"hand tool"	0.0617389
dowel	0.0616609
flooring	0.0615269
"ventilation system"	0.0607123
glassware	0.0595494
"exercise equipment"	0.0595157
"water pump"	0.0594318
carpeting	0.0590653
bedding	0.0590092
"computer hardware"	0.0586823
"household appliance"	0.0586793
"alarm clock"	0.0586205
"wine bottle"	0.0556798
statuary	0.0555118
"fountain pen"	0.0551262
"wall hanging"	0.0550729
"Windows Media Player"	0.0545412
"evening bag"	0.0545405
"coat of paint"	0.053837
mantel	0.052063
"white elephant"	0.0520325
purifier	0.0507965
flatware	0.0506975
chintz	0.0506094
"telephone set"	0.0504619
tableware	0.050448
"street lamp"	0.0494778
"electronic equipment"	0.0494276
"stereo system"	0.0492774
"phone jack"	0.0492654
lavatory	0.049113
"prescription medicine"	0.0487934
clocks	0.0486762
headboard	0.048676
"musical instrument"	0.0483099
"electrical device"	0.0481916
"display case"	0.0478203
wiper	0.047404
"car seat"	0.0468837
"catalytic converter"	0.0463733
"pipe organ"	0.0462644
"video equipment"	0.046122
skylight	0.0455273
"sewer line"	0.0454708
banquette	0.0454261
accouterment	0.0450699
webcams	0.0447742
gouache	0.0447543
"UNIX operating system"	0.0446471
defibrillator	0.0442546
instrumentation	0.0440453
curler	0.0440427
cornice	0.043975
barrette	0.0438907
brooch	0.0438783
supercomputers	0.0438604
"water fountain"	0.0437933
teahouse	0.0436619
mantelpiece	0.0435178
wainscoting	0.0434283
"radio transmitter"	0.0432908
misjudgments	0.0431025
frill	0.0430879
"Easter egg"	0.0429572
"radio set"	0.0429445
keystroke	0.0428938
housewares	0.0425914
ensign	0.0425452
jerky	0.0423688
"soda fountain"	0.0421918
copier	0.0419023
paperweight	0.0418033
beaker	0.0417033
MP@s	0.0414287
seashell	0.0412149
"sports equipment"	0.041152
"fish tank"	0.0411105
nonevent	0.0409
toaster	0.0408377
photocopier	0.0408247
"household product"	0.0407595
"love seat"	0.0407391
"home appliance"	0.04034
"coaxial cable"	0.040292
"greeting card"	0.0402214
bodybuilder	0.0401891
"roulette wheel"	0.0401749
candlestick	0.0401273
"general store"	0.0401084
eyeglass	0.0400873
"air duct"	0.0400025
))
(bathtub (desc 13359.5) (sims
tub	0.18452
bathroom	0.118336
bath	0.108815
bed	0.0943338
bedroom	0.0937382
toilet	0.0923931
"swimming pool"	0.0903437
"garbage can"	0.0894625
refrigerator	0.0870674
"shower stall"	0.0857019
closet	0.0836781
ditch	0.0809281
kitchen	0.0804402
pool	0.0797118
drawer	0.0796262
fireplace	0.0785918
shower	0.0777075
bucket	0.0766653
crib	0.0751691
basement	0.0751433
hallway	0.0738871
cooler	0.0736166
"trash can"	0.0725389
pot	0.0719006
faucet	0.0715827
Dumpster	0.0713003
"shopping cart"	0.0702202
vase	0.0701844
patio	0.0697833
chair	0.0696936
Bin	0.0696803
cupboard	0.0687612
"living room"	0.0680674
"trash bin"	0.0675473
bookcase	0.0674219
garage	0.0666188
basin	0.066412
balcony	0.066227
pond	0.0661572
stove	0.0660547
"file cabinet"	0.0655244
"dining table"	0.0654075
freezer	0.0648346
kettle	0.0647984
suitcase	0.0647108
"washing machine"	0.0644749
fountain	0.0643742
trunk	0.0635334
pit	0.0632697
bowl	0.063213
ashtray	0.063166
gutter	0.0629468
doorway	0.0628716
ravine	0.0624775
"waiting room"	0.0624346
jar	0.0611709
armchair	0.0608215
sofa	0.0603673
VAT	0.0603514
cellar	0.0603115
terrace	0.0601256
urinal	0.0596775
tent	0.0591951
"sleeping bag"	0.0589211
sewer	0.058668
armoire	0.0586415
"shopping bag"	0.0583976
tray	0.0580346
"duffel bag"	0.0579084
cage	0.0577763
"deposit box"	0.0577265
whirlpool	0.0576001
"display case"	0.0574086
briefcase	0.0570079
radiator	0.0569023
tank	0.0567694
"coffee table"	0.0565791
container	0.0564359
"parking lot"	0.0562246
"storage room"	0.055932
locker	0.055839
"dining room"	0.0554271
Creek	0.0552586
driveway	0.0548472
"easy chair"	0.0547825
pan	0.0545968
bottle	0.0543207
courtyard	0.0541047
ocean	0.0535487
"picture window"	0.0534911
backpack	0.053397
jug	0.0532447
couch	0.0532418
attic	0.0532344
"kitchen sink"	0.0532045
tile	0.0531361
trench	0.0531049
culvert	0.0528729
sauna	0.052752
bunk	0.0527498
shelf	0.0526876
hammock	0.0526869
countertops	0.0526009
sideboard	0.0525521
saucepan	0.0522068
veranda	0.0521811
skillet	0.0521503
lamp	0.0521276
carpet	0.0520786
"water tank"	0.051997
"hospital bed"	0.0519126
puddle	0.0519011
compartment	0.0518933
lake	0.0516352
"medicine cabinet"	0.0516206
cabin	0.0515569
pipe	0.0513597
pantry	0.0511907
"San Francisco Bay"	0.0511079
furniture	0.0510165
carpeting	0.0509889
"hotel room"	0.050863
cot	0.050846
Casket	0.0507238
porch	0.0507227
elevator	0.0505835
"master bedroom"	0.050363
lavatory	0.0503167
ballroom	0.0501854
stockpot	0.0501678
binder	0.0499507
cubicle	0.049895
staircase	0.0498925
chandelier	0.049654
commode	0.049554
playpen	0.0494047
nostril	0.0493698
"front room"	0.0492467
pail	0.0492399
lagoon	0.0492143
"glove compartment"	0.0491017
"conference room"	0.049059
alcove	0.0490511
flooring	0.048975
tube	0.0488472
doorbell	0.0486271
blanket	0.0485261
rack	0.0484733
pew	0.0483226
wastebasket	0.048285
washer	0.0480887
mantelpiece	0.0480402
dishwasher	0.0477635
"public toilet"	0.047688
crate	0.0476487
"jail cell"	0.0474488
"flying saucer"	0.0472762
settee	0.0472094
siding	0.0472069
"bunk bed"	0.0471604
stool	0.0470667
stairwell	0.0466279
wheelbarrow	0.0466066
desk	0.0465531
cave	0.046546
"dinner plate"	0.0465272
pen	0.0464903
restroom	0.0464651
ceiling	0.0463175
Jacuzzi	0.0463074
"pickup truck"	0.0462689
"septic tank"	0.0461929
atrium	0.0460563
booth	0.0460124
deck	0.0459969
Canal	0.0459205
oven	0.0458962
"back yard"	0.0458212
"family room"	0.0457307
"front yard"	0.0456647
urn	0.0455558
mailbox	0.0455537
van	0.0454762
backyard	0.0451223
suite	0.0449614
pouch	0.0449468
skylight	0.0448931
air-conditioning	0.0448842
foyer	0.0448659
canoe	0.0447815
enclosure	0.0447678
headboard	0.0447013
crater	0.0446546
coffin	0.044467
"kitchen appliance"	0.0443399
lantern	0.0442461
"gas stove"	0.0442227
"lawn chair"	0.0440964
sheet	0.043923
blender	0.0437908
))
(Batista (desc 2487.99) (sims
Fullmer	0.267658
Rolen	0.237639
Cirillo	0.233421
"Mark Loretta"	0.232906
Vidro	0.22596
"Brad Fullmer"	0.221411
"Tony Batista"	0.21293
"Damian Miller"	0.208994
Burnitz	0.20251
Renteria	0.198309
"Scott Spiezio"	0.194908
Lieberthal	0.192722
Alicea	0.191309
"Matt Lawton"	0.190831
"Carlos Lee"	0.186464
"Eric Owens"	0.186318
"Cristian Guzman"	0.186252
Sexson	0.185594
DeShields	0.181819
Karros	0.180953
Nevin	0.180313
"Mark Kotsay"	0.178358
Abreu	0.177599
Aurilia	0.173257
"Jose Vidro"	0.172547
Tatis	0.171208
Lankford	0.169944
Fryman	0.169482
"Kevin Young"	0.168857
"Ron Coomer"	0.167865
"Alex Gonzalez"	0.167816
"Preston Wilson"	0.167373
Bordick	0.16658
Hollins	0.166191
"Dean Palmer"	0.165137
"Bengie Molina"	0.164461
Higginson	0.163713
"J.T Snow"	0.162843
"Mike Sweeney"	0.1613
"Jose Cruz Jr."	0.161095
Randa	0.161016
"Deivi Cruz"	0.159003
"Rondell White"	0.158845
Bautista	0.15865
"Derrek Lee"	0.157627
Glaus	0.156669
"Shawn Green"	0.156169
"Bill Mueller"	0.155836
"Eric Chavez"	0.155218
"David Ortiz"	0.154989
"Cliff Floyd"	0.154531
Delgado	0.154176
McGriff	0.153793
"Geoff Jenkins"	0.152065
Veras	0.151831
"Troy Glaus"	0.151617
"Scott Rolen"	0.151466
"Mike Lieberthal"	0.151129
"Jeff Conine"	0.150788
"Todd Pratt"	0.150484
Saenz	0.149871
"Vladimir Guerrero"	0.149853
"John Vander Wal"	0.149085
Giambi	0.148478
"Marvin Benard"	0.147444
grieve	0.147296
"Joe Randa"	0.147027
Dunston	0.147025
"Fred McGriff"	0.146817
"Miguel Cairo"	0.146262
"Rich Aurilia"	0.145599
"Jose Valentin"	0.145385
"Bobby Higginson"	0.145379
Hidalgo	0.145254
"Jeffrey Hammonds"	0.144552
Agbayani	0.144424
Catalanotto	0.143807
"Russ Johnson"	0.143625
Ordonez	0.143474
"Lance Berkman"	0.142739
"Eric Karros"	0.142596
"Kelly Stinnett"	0.142463
Elster	0.142291
"Paul Konerko"	0.142172
"Neifi Perez"	0.141975
"Brian Giles"	0.141248
Velarde	0.140991
Alfonzo	0.140825
"Danny Bautista"	0.140654
Biggio	0.138915
"Stan Javier"	0.138777
"Dante Bichette"	0.138666
"Phil Nevin"	0.1383
"Pat Meares"	0.137708
"Wally Joyner"	0.137661
"Enrique Wilson"	0.1374
"Richie Sexson"	0.137118
"Dmitri Young"	0.137012
"Mark Grace"	0.136981
"Chris Widger"	0.136814
"Warren Morris"	0.136612
Surhoff	0.136443
"Juan Encarnacion"	0.136402
"Eddie Taubensee"	0.135765
"Ray Durham"	0.135626
Beltran	0.135464
"Jeff Bagwell"	0.135184
Baerga	0.13512
"Joe McEwing"	0.133576
Burks	0.132602
"Edgardo Alfonzo"	0.132398
Bagwell	0.13202
Caminiti	0.131751
Tejada	0.131515
Bichette	0.131437
Hatteberg	0.1314
"David Bell"	0.131363
Olerud	0.131361
Erstad	0.131042
"Andy Fox"	0.131
"Adrian Beltre"	0.130556
Glanville	0.129767
Easley	0.129678
Duvalier	0.129676
"Aaron Boone"	0.129487
"Frank Thomas"	0.129334
"Brian Hunter"	0.129025
"Jeff Kent"	0.128789
"Henry Rodriguez"	0.12869
"Tim Salmon"	0.12862
"Ricky Gutierrez"	0.128429
"Jose Hernandez"	0.128319
Segui	0.12807
Thome	0.127806
"Brady Anderson"	0.127546
"Benny Agbayani"	0.127268
"Andruw Jones"	0.127242
"Miguel Tejada"	0.127193
"Orlando Palmeiro"	0.127145
Lofton	0.127139
"Carlos Delgado"	0.127004
Palmeiro	0.126298
"Bruce Aven"	0.125891
"Adam Kennedy"	0.125866
"Matt Stairs"	0.125488
Varitek	0.125454
Harnisch	0.125341
"Luis Castillo"	0.125264
"Corey Koskie"	0.12524
"Mike Lamb"	0.124968
Lawton	0.12484
Zeile	0.124686
"Butch Huskey"	0.124616
"Ron Gant"	0.124377
Gant	0.124221
"Travis Fryman"	0.123981
"Richard Hidalgo"	0.123764
"Mickey Morandini"	0.123745
"Moises Alou"	0.123719
Beltre	0.123674
Castilla	0.123582
"Tony Eusebio"	0.12337
"Luis Alicea"	0.123344
Astacio	0.123332
Alou	0.123287
"Chipper Jones"	0.122681
"Bobby Abreu"	0.12264
"Raul Mondesi"	0.122464
"Craig Biggio"	0.122111
"Pokey Reese"	0.121885
"Javy Lopez"	0.121425
"Kevin Jordan"	0.121247
"Matt Franco"	0.121178
"Mark Grudzielanek"	0.120808
"Marquis Grissom"	0.120613
"Harold Baines"	0.120609
"Chad Curtis"	0.120573
"Jose Guillen"	0.120274
Cabrera	0.120199
"Marty Cordova"	0.120163
"Trot Nixon"	0.120146
"Tony Womack"	0.120145
"Luis Gonzalez"	0.120114
Womack	0.120032
Kapler	0.119925
"Mike Cameron"	0.119665
"Ben Grieve"	0.119469
Petkovsek	0.119126
"Tim Bogar"	0.119053
Valentin	0.119026
"Jason Giambi"	0.118733
"Jay Payton"	0.118215
"Doug Glanville"	0.117646
"Mike Lowell"	0.117298
"Russ Davis"	0.116872
"Herbert Perry"	0.116762
Canseco	0.116607
"Jim Thome"	0.116469
"Johnny Damon"	0.11635
"Carl Everett"	0.116083
Galarraga	0.115924
"Fernando Vina"	0.115803
Sprague	0.115777
"David Segui"	0.114816
"Jay Bell"	0.114746
"Jermaine Dye"	0.114624
"Dave Martinez"	0.114462
"Mike Stanley"	0.114112
"Dave Hansen"	0.114039
Brogna	0.113999
"Todd Walker"	0.113888
Alomar	0.113749
"Jeff Cirillo"	0.113746
"Benji Gil"	0.113665
Klesko	0.113064
Bergeron	0.113027
"Kurt Abbott"	0.112883
"Brian McRae"	0.112834
"Ruben Rivera"	0.11273
"Todd Helton"	0.112435
"Scott Brosius"	0.112419
Rueter	0.112301
Spiers	0.111794
Cedeno	0.111629
"Derek Bell"	0.111324
"John Olerud"	0.111168
"Lenny Harris"	0.111142
"Brant Brown"	0.111138
"Jason Varitek"	0.110718
Leyritz	0.110707
"Darin Erstad"	0.110531
"Quinton McCracken"	0.110516
Grissom	0.11018
"Mark McLemore"	0.110118
Stinnett	0.109944
"Carlos Beltran"	0.109851
"Keith Lockhart"	0.109837
"Rico Brogna"	0.109624
Trachsel	0.109603
"Jeromy Burnitz"	0.109532
DiSarcina	0.109452
Guillen	0.109412
"Shannon Stewart"	0.109365
"Todd Zeile"	0.109344
"Roger Cedeno"	0.109332
Dempster	0.10912
"Ozzie Guillen"	0.108284
Bohanon	0.10818
"Bill Spiers"	0.108091
Garciaparra	0.108039
Ledee	0.107969
"Ken Caminiti"	0.107633
Grudzielanek	0.107535
"Eric Young"	0.106929
"John Mabry"	0.106866
"Jim Edmonds"	0.106851
"Ricky Ledee"	0.106664
"Robin Ventura"	0.106467
Hollandsworth	0.106039
Helton	0.106026
Bere	0.105812
"Steve Finley"	0.105651
"Al Martin"	0.105601
"Chili Davis"	0.105583
Konerko	0.105202
"Gary Sheffield"	0.105116
"J.D Drew"	0.104973
"Lee Stevens"	0.104888
"Damian Jackson"	0.104766
Sojo	0.104592
"Mike Bordick"	0.10451
"Chuck Knoblauch"	0.104442
"John Valentin"	0.104428
"Ivan Rodriguez"	0.104406
"Jay Buhner"	0.104274
"Travis Lee"	0.103834
"Roberto Alomar"	0.103654
"Reggie Sanders"	0.103249
Mondesi	0.103175
Hundley	0.102833
Bragg	0.102819
"Jason Kendall"	0.102653
"Chris Gomez"	0.102237
Counsell	0.102159
"Gerald Williams"	0.101902
"Todd Hollandsworth"	0.101886
"Glenallen Hill"	0.101846
Tapani	0.101626
Boone	0.101556
"Willie Greene"	0.10146
"Darren Bragg"	0.10111
Frye	0.101079
"Devon White"	0.101036
McLemore	0.101024
Guerrero	0.100967
"Gregg Jefferies"	0.100916
"Desi Relaford"	0.100908
Ceausescu	0.100811
Cordero	0.100429
"Charlie Hayes"	0.100412
"Melvin Mora"	0.100303
"Vinny Castilla"	0.100259
"Randy Velarde"	0.100145
"Tony Fernandez"	0.100088
"B.J Surhoff"	0.1
))
(Batistuta (desc 3339.52) (sims
"Gabriel Batistuta"	0.204039
Bebeto	0.171888
Romario	0.161052
Rivaldo	0.160178
Vieri	0.158658
Baggio	0.154072
Laudrup	0.151654
Edmundo	0.140786
Bierhoff	0.134266
"Davor Suker"	0.133943
"Ian Wright"	0.123195
Denilson	0.120963
Salas	0.118945
Ronaldo	0.118458
Suker	0.118407
Andreychuk	0.117256
"Luis Hernandez"	0.114556
Zidane	0.114407
Kluivert	0.114245
Woolley	0.113445
Djorkaeff	0.112677
hermosillo	0.112167
"Youri Djorkaeff"	0.112051
"Roberto Baggio"	0.110828
Yzerman	0.10889
"Hao Haidong"	0.108866
Bergkamp	0.107061
"David Trezeguet"	0.106091
Stumpel	0.104846
Klinsmann	0.103675
"Ivan Zamorano"	0.103401
"Joe-Max Moore"	0.10262
"Alan Shearer"	0.102582
"Carlos Hermosillo"	0.102169
Palffy	0.0997834
"Sun Wen"	0.099267
Owen	0.097642
Reichel	0.0974567
"Dwight Yorke"	0.0971094
Hurtado	0.0961559
"Predrag Mijatovic"	0.0955369
"Adrian Ilie"	0.0944798
Kovalev	0.0941348
Graziani	0.0931908
"Cesar Sampaio"	0.0929569
"Harry Kewell"	0.09279
Sissi	0.0918424
Turgeon	0.091561
"Hernan Crespo"	0.0905184
"Miroslav Satan"	0.0903921
Duchesne	0.0897322
Chilavert	0.0891302
"Mauricio Ramos"	0.0890862
"Ulf Kirsten"	0.0886973
Moeller	0.0885818
"Christian Vieri"	0.0882046
Hejduk	0.0877286
"Dennis Bergkamp"	0.0877008
Savarese	0.0876022
Roenick	0.0875936
"Marcelo Salas"	0.0875467
LeClair	0.0874344
Nedved	0.087335
Niedermayer	0.0871096
Donato	0.0870511
"Eric Wynalda"	0.0870253
"Zinedine Zidane"	0.0868459
"Del Piero"	0.0866892
Langenbrunner	0.0863846
Sykora	0.0862134
Kariya	0.0858134
Anelka	0.0856766
"Brett Hull"	0.085479
"Oliver Bierhoff"	0.0852767
MacLean	0.0845667
"Gheorghe Hagi"	0.0832967
"Patrick Kluivert"	0.082804
Leetch	0.0827952
Sakic	0.0825058
Chastain	0.0822371
Dunga	0.0821597
Artest	0.0816335
"Tore Andre Flo"	0.0815078
"Jaromir Jagr"	0.0811208
"Roberto Carlos"	0.0811112
Preki	0.080507
Nieuwendyk	0.0796718
"Stern John"	0.0794849
"Ali Daei"	0.0794562
Gorter	0.0793061
"Mia Hamm"	0.0791678
"Dejan Stankovic"	0.0791296
"Hidetoshi Nakata"	0.0790755
Zico	0.0789778
Zamorano	0.0788363
"Matt Santangelo"	0.0785286
Tocchet	0.0785079
Hagi	0.0781587
Hamm	0.0780896
Bure	0.0780859
Akers	0.0779228
"Luis Figo"	0.0775201
Hendrickson	0.0774642
Heinze	0.0774438
Fryman	0.077296
Audette	0.0772324
"Robert Prosinecki"	0.0764786
Juninho	0.0764529
"Michael Owen"	0.0760541
Carbonneau	0.0756271
Gilmour	0.0755886
"Christophe Dugarry"	0.0755752
Kukoc	0.0753338
"Brian McBride"	0.0753295
Sampaio	0.0753225
Asprilla	0.0752968
Baerga	0.075255
"Teemu Selanne"	0.075234
Lehtinen	0.0749334
Drury	0.0748285
Raul	0.0745924
Fedorov	0.0744129
Wynalda	0.0742603
Ortega	0.0742513
"Marc Overmars"	0.0737123
Welton	0.0736871
"Fredrik Olausson"	0.0732467
Gustafsson	0.0731557
Muoneke	0.073034
Janikowski	0.0730084
"Kristine Lilly"	0.0728471
"ZIGMUND PALFFY"	0.0728076
Langdon	0.0721057
"Chris Porter"	0.071852
Holik	0.0718158
"Hristo Stoichkov"	0.0716742
Arnott	0.0716537
striker	0.0715174
"Ziggy Palffy"	0.0715105
Fizer	0.0713924
Fleury	0.070927
Ceballos	0.0708837
"Nicolas Anelka"	0.0707976
"Raul Diaz Arce"	0.0707015
Recchi	0.0705003
Ricci	0.0703509
"Sergei Samsonov"	0.0701114
"Alen Boksic"	0.0701016
Etcheverry	0.0700964
Forsberg	0.0699735
Tkachuk	0.0696611
"Wang Tao"	0.0695381
Jagr	0.0695367
Nakata	0.0693085
Abdur-Rahim	0.0686737
Sundin	0.0684329
Bourque	0.0681819
Laettner	0.0681136
"Van Horn"	0.0678871
"Alessandro Del Piero"	0.0678311
"Ante Razov"	0.0677795
"Raul Gonzalez"	0.067722
Hatcher	0.0677073
"Juergen Klinsmann"	0.0676932
Baba	0.0675521
Medvedev	0.0675193
"Gianfranco Zola"	0.0674453
Yashin	0.067385
"Guy Carbonneau"	0.067024
Serna	0.0669542
"Claudio Lopez"	0.0668838
Smolinski	0.0664225
Cienfuegos	0.0662643
"Thierry Henry"	0.0661138
Leonardo	0.0661121
Briere	0.0660644
Verbeek	0.0657463
McKay	0.0656554
"Teddy Sheringham"	0.0656243
Pele	0.0655683
Samsonov	0.0647218
"Peter Forsberg"	0.0646924
Blanc	0.0646081
"Steve Rucchin"	0.0645039
Ordonez	0.0641471
Lindros	0.0640002
Barrie	0.0637294
Lassiter	0.0636541
Beckham	0.063547
"Laurent Blanc"	0.0634813
"Ruud Gullit"	0.0633706
"Ariel Ortega"	0.0632491
"Darryl Sydor"	0.0630978
Flo	0.0630708
"Faustino Asprilla"	0.0628951
"Joe Sakic"	0.0628567
Najera	0.0626914
Milbrett	0.0626128
Scholes	0.0624395
Felipe	0.0623344
))
(Batman (desc 8651.53) (sims
Bingol	0.189484
Tunceli	0.178431
Hakkari	0.177706
Sirnak	0.177077
Spider-Man	0.157048
Superman	0.14864
"Lethal Weapon"	0.121255
Diyarbakir	0.119251
"Donald duck"	0.103459
"Indiana Jones"	0.0986711
"Toy Story"	0.0969927
Tarzan	0.0967729
"Star Trek"	0.0964297
X-MEN	0.0881476
"James Bond"	0.0873923
"Star Wars"	0.0863732
"South Park"	0.0857606
"Austin Powers"	0.0852661
superhero	0.0849829
"Sherlock Holmes"	0.0843708
Zorro	0.0774051
"Bugs Bunny"	0.0736047
"Mickey mouse"	0.0728612
Tintin	0.0726161
"Lone Ranger"	0.0723105
Frankenstein	0.0721498
"Brady Bunch"	0.0719063
Terminator	0.070273
"Jurassic Park"	0.0693932
avenger	0.0680859
Dilbert	0.0666744
Flintstone	0.0657843
"Blair Witch"	0.0652711
Rugrats	0.0628553
slasher	0.0626898
"Dudley Do-Right"	0.0622131
Godzilla	0.0619505
Spenser	0.061854
Pokemon	0.0616773
Halloween	0.0616306
"Twilight Zone"	0.061164
"Next Generation"	0.059667
"comic book"	0.0595577
"Murphy Brown"	0.0594219
"Eyes Wide Shut"	0.0594027
Seinfeld	0.0586708
"Melrose Place"	0.0583956
"Stuart Little"	0.057737
"Smoke Signals"	0.0573756
Pinocchio	0.0572235
Bullwinkle	0.0565901
"Mod Squad"	0.0565134
Winnie	0.0560801
rocky	0.0559779
lassie	0.0557709
Herat	0.0554749
godfather	0.054887
"Love Boat"	0.0548379
Dracula	0.0547887
cartoon	0.0546998
Archie	0.054368
made-for-TV	0.0542308
"Blair Witch Project"	0.0519629
Simpsons	0.0517922
"Harry Potter"	0.0510772
E.T	0.0509532
"Iron Giant"	0.0505529
"Forrest Gump"	0.0505145
"American Pie"	0.0503092
Titanic	0.0502205
Matrix	0.0501143
"Home Run Derby"	0.0501119
"Meet Joe Black"	0.0499186
"Being John Malkovich"	0.0496372
Antz	0.0493266
"Santa Claus"	0.049257
"Wild Wild West"	0.0490299
"Primary Colors"	0.0489217
"Inspector Gadget"	0.0486055
"Sleepy Hollow"	0.0480779
"science fiction"	0.0475422
babe	0.0472035
"Love Bug"	0.0471334
X-Files	0.0466421
"Animal House"	0.0465361
"Big Daddy"	0.046281
Tete	0.0462347
"picture show"	0.0460186
"Robin Hood"	0.0457529
honeymooner	0.0456078
Porno	0.0454665
"Big Bird"	0.0453717
Rambo	0.0449167
"Darth Vader"	0.0448456
Benguela	0.0447837
"Law &AMP; Order"	0.0446309
Selena	0.0445883
Mulan	0.0444199
Isfahan	0.0443849
"Patch Adams"	0.0437017
"American Beauty"	0.0435568
Alice	0.0434977
Almodovar	0.0434715
"Natural Born Killers"	0.0433953
prequel	0.0433038
"Erin Brockovich"	0.0432353
Armageddon	0.0432288
Muppets	0.0428621
kiddie	0.0427201
IMAX	0.0426975
"Cosby Show"	0.0426929
"sixth sense"	0.0425884
"wing commander"	0.0425356
Popeye	0.0424613
"John Wayne"	0.0424015
late-@@@@s	0.0423353
"Citizen Kane"	0.0422905
Autry	0.042203
Bulworth	0.0419485
Dolittle	0.0418942
Rushmore	0.041883
"Double Jeopardy"	0.0418138
"Runaway Bride"	0.0417214
Pooh	0.0416583
blockbuster	0.0415772
ROUNDERS	0.0414813
"Kung Fu"	0.0414588
"Princess Mononoke"	0.0413953
"King Kong"	0.0413555
"Ally McBeal"	0.0412428
"Family Guy"	0.0412178
Cinderella	0.0411775
"Top Gun"	0.0410799
vintage	0.0410566
"Luke Skywalker"	0.0410531
"Who Wants to Be a Millionaire"	0.0410093
"Leonardo DiCaprio"	0.0409657
Baywatch	0.0408572
"limited edition"	0.0407719
Gladiator	0.0406512
Gatsby	0.0405332
"Darth Maul"	0.0404519
Tootsie	0.0402928
psycho	0.0401727
Footloose	0.0401151
"Saving Private Ryan"	0.0400279
"Jane Austen"	0.0400087
Nickelodeon	0.0400081
))
(baton (desc 14894) (sims
truncheon	0.213643
nightstick	0.182102
prod	0.148293
"rifle butt"	0.147125
"baseball bat"	0.145687
"tear gas"	0.141238
"water cannon"	0.140733
machete	0.112734
sword	0.0972571
"automatic rifle"	0.0931826
rifle	0.0898871
spear	0.0833863
"hockey stick"	0.0827586
cane	0.0820473
broom	0.0819188
revolver	0.0813538
bullet	0.0810392
knife	0.0809872
racquet	0.0800589
gun	0.0795928
pistol	0.0785506
fist	0.077951
Hammer	0.0774727
paddle	0.0772524
bayonet	0.0771433
shotgun	0.075898
Grenade	0.0752143
shield	0.0751755
ax	0.0742712
cudgel	0.0737986
"machine gun"	0.0733603
flashlight	0.073292
torch	0.0729843
shovel	0.0719368
"tennis racket"	0.0704579
canister	0.0676198
mallet	0.0663032
"golf club"	0.0653283
Sledgehammer	0.0650032
binocular	0.0634886
helmet	0.0621496
sickle	0.0615545
handgun	0.0607645
"hand grenade"	0.0599508
rod	0.0598263
"submachine gun"	0.0589609
pellet	0.0585812
broomstick	0.0583535
machine-guns	0.0582235
"hunting knife"	0.0577239
"tree branch"	0.0576756
hatchet	0.0575278
handcuff	0.0564852
gavel	0.0564163
crowbar	0.0561617
screwdriver	0.0560925
"chain saw"	0.055293
mask	0.0552143
handcuffs	0.0550152
"bowling ball"	0.0542729
"gasoline bomb"	0.0535284
ammunition	0.0535214
slingshot	0.0528316
AK-@@	0.0527251
placard	0.0525864
saber	0.0522035
racket	0.0519587
"paper cup"	0.0516771
scalpel	0.0516524
bottle	0.0514311
glove	0.0512419
launcher	0.050753
putter	0.0506822
mortar	0.0500919
"rocket launcher"	0.0499877
"walking stick"	0.0496499
dagger	0.0492655
bandanna	0.0490106
mace	0.0490028
"explosive device"	0.0488968
Tomahawk	0.0487521
walkie-talkie	0.0484246
pipe	0.0475947
Spoon	0.0472676
firearm	0.0468407
megaphone	0.0467955
"heavy weapon"	0.0467464
badge	0.0464766
"frying pan"	0.0462443
cartridge	0.0460736
visor	0.0459629
wand	0.0449926
detonator	0.0445487
handkerchief	0.0443022
"bulletproof vest"	0.0440607
syringe	0.0437697
inbounds	0.0436898
scissors	0.0434806
razor	0.0432761
pen	0.0432466
projectile	0.0431855
pencil	0.0428606
paintbrush	0.0425853
spatula	0.0423793
arrow	0.0423034
musket	0.0420636
"index finger"	0.0420404
inhaler	0.0418805
briefcase	0.0414944
fork	0.0413496
gunfire	0.0413072
elbow	0.041268
rope	0.0411943
chopstick	0.0411187
handoff	0.0409077
"Molotov cocktail"	0.0408176
pole	0.0407975
"sheet of paper"	0.0404471
))
("Baton Rouge" (desc 6682.32) (sims
Shreveport	0.16388
Morristown	0.145049
"Little Rock"	0.135946
"White Plains"	0.133115
"Lake Charles"	0.129962
Spokane	0.129011
Tampa	0.128278
Alexandria	0.126148
Lafayette	0.124483
Beaumont	0.122414
TALLAHASSEE	0.119501
"Fort Lauderdale"	0.116723
"West Palm Beach"	0.116023
Brownsville	0.115924
"New Orleans"	0.115757
Albuquerque	0.112156
"Oklahoma City"	0.112079
Macon	0.111944
Biloxi	0.111292
Topeka	0.109597
Tucson	0.109545
Bridgeport	0.109351
Rochester	0.109328
Newark	0.109114
"East Orange"	0.108975
Hattiesburg	0.108811
Memphis	0.108476
Stamford	0.10844
"Kansas City"	0.108146
Honolulu	0.107381
Minneapolis	0.107308
Worcester	0.107109
Albany	0.106526
Knoxville	0.106503
Utica	0.1062
Lubbock	0.105454
Wilmington	0.105256
Brooklyn	0.10513
Wichita	0.105031
Hillsboro	0.103438
ASHEVILLE	0.1034
Fresno	0.103398
Amarillo	0.10292
Greenville	0.102831
Poughkeepsie	0.102543
Missoula	0.102422
"Grand Rapids"	0.102386
Hartford	0.102312
Charleston	0.102278
Gainesville	0.101484
Richmond	0.100653
"Saratoga Springs"	0.100119
Charlottesville	0.0997275
"Des Moines"	0.099174
"Fort Worth"	0.099099
Texarkana	0.0989123
LAKEWOOD	0.0984511
Raleigh	0.0968702
TRENTON	0.0966344
"East Los Angeles"	0.0965618
Yonkers	0.096036
Akron	0.0960332
Harrisburg	0.0959921
"Miami Beach"	0.0958402
"New Haven"	0.0957426
"Virginia Beach"	0.0944704
Redding	0.0943915
Chattanooga	0.0941909
"Fort Myers"	0.0934193
"San Antonio"	0.0928787
anchorage	0.0927922
"Daytona Beach"	0.0926568
Kalamazoo	0.0924433
Springfield	0.0919961
"Great Neck"	0.0914619
Carthage	0.0905229
Omaha	0.0904975
Flagstaff	0.0904586
Birmingham	0.0900772
Watertown	0.0899785
Columbus	0.0890235
Tacoma	0.0887334
Bangor	0.0881148
flint	0.0877696
"St. Paul"	0.0877538
"El Paso"	0.0877529
Covington	0.0877306
Austin	0.0874247
"Port Arthur"	0.0869508
Greenwich	0.086618
Chatham	0.08652
Elmira	0.0865196
Youngstown	0.08645
Savannah	0.0863891
Dearborn	0.086345
Laramie	0.0858578
Tempe	0.0858225
Chatsworth	0.0856699
"Corpus Christi"	0.0852457
Miami	0.0850924
"New York City"	0.0849181
Louisville	0.0849127
Denver	0.0848874
Houston	0.0847733
"Guatemala City"	0.0847119
riverside	0.0842058
"Van Nuys"	0.0841312
"Salt Lake City"	0.0839983
Portland	0.0839897
"St. Petersburg"	0.0839368
Tulsa	0.0837916
"Cedar Rapids"	0.0837132
"Woodland Hills"	0.0836129
Laredo	0.0834826
"La Jolla"	0.0834726
Brunswick	0.0833461
Roanoke	0.0832094
Montgomery	0.0831092
Lexington	0.0830847
"Sherman Oaks"	0.0829367
Orlando	0.0827437
Nashville	0.0825702
Lakeland	0.0824168
Baltimore	0.0822067
Marietta	0.0819721
"East St. Louis"	0.0819401
"Santa Fe"	0.0819312
"Boca Raton"	0.0818093
"Santa Monica"	0.0815548
Manchester	0.0813831
Englewood	0.0812818
Phoenix	0.081111
"Washington D.C."	0.0809243
"South Bend"	0.0809149
Jacksonville	0.0808856
Somerville	0.0807875
"Atlantic City"	0.0807353
"Mexico City"	0.0806233
"Newport Beach"	0.0806063
Pensacola	0.0806001
"The Bronx"	0.080456
"Westchester County"	0.0803958
"Greenwich Village"	0.0803254
Brookline	0.0801501
"Crystal City"	0.0799589
Detroit	0.0798872
"Overland Park"	0.0795777
Bloomington	0.0794241
ARCADIA	0.079174
"Palo Alto"	0.0791664
Quincy	0.0790472
Naples	0.0789477
"Boynton Beach"	0.0788606
Louisiana	0.078703
Braintree	0.0783925
Greensboro	0.0782742
"San Diego"	0.078014
Norwalk	0.0779421
"Palm Beach County"	0.0779174
"San Juan"	0.077897
Jasper	0.077828
Philadelphia	0.0776617
Encino	0.077404
Pasadena	0.0773559
"Key West"	0.0771138
Pittsfield	0.0768073
Longview	0.0767825
Middletown	0.0767423
Duluth	0.0767383
Medford	0.0766134
Hoboken	0.0766079
Dallas	0.0765208
Boise	0.076166
Indianapolis	0.0761535
Syracuse	0.0761479
"Jersey City"	0.0760678
Americus	0.07605
Eugene	0.0759373
Winston-Salem	0.075932
Sacramento	0.0757665
Huntsville	0.0757497
"Myrtle Beach"	0.075601
Nogales	0.0755408
Waco	0.0754729
"Suffolk County"	0.0754535
Macoris	0.0754107
Manhattan	0.075191
Belfast	0.0749691
"Las Vegas"	0.0748369
Sarasota	0.0747796
Cincinnati	0.074681
Murmansk	0.0744877
"Thousand Oaks"	0.0744837
"Gwinnett County"	0.0744809
Paterson	0.0742876
Lufkin	0.0742462
"New Rochelle"	0.0741931
Abilene	0.0739906
Aberdeen	0.0737818
"Coral Gables"	0.0733642
))
(Batouty (desc 1671.9) (sims
Falater	0.126965
Reimer	0.115707
Kohn	0.10578
Ashbrook	0.103078
D'Alessandro	0.100181
Imperatori	0.0997743
McLaughlin	0.0966575
Byrdsong	0.0959168
Turgeon	0.0918345
Skiles	0.0905854
Hatfield	0.089448
Valenzuela	0.088553
Dele	0.0877514
Brazile	0.0875849
Ganga	0.0869541
furrow	0.0856101
Alves	0.0850667
Coelho	0.0845327
Pearce	0.0831762
Raznatovic	0.0824096
Noor	0.0819159
Yates	0.081896
Lombardi	0.0813992
Ileto	0.0813114
Sarsour	0.0812382
Chmura	0.0811238
Lindbergh	0.0811132
Ralston	0.0803801
Bulatovic	0.0803458
Kerik	0.0798758
Skakel	0.079675
Chilavert	0.078839
Pippig	0.0786381
"Jim Harrick"	0.0767426
Babitsky	0.0763941
Dunston	0.0763765
nance	0.0751364
Perrot	0.0751332
Mikhailov	0.0747921
Katsav	0.0746676
Mehmet	0.0745835
Maradona	0.074385
Einhorn	0.074032
"Jack Kevorkian"	0.073871
Ivester	0.0732622
Kasyanov	0.0730818
Ishihara	0.0728688
Milutinovic	0.0728525
Klebold	0.0728506
Rudolph	0.072654
Vasquez	0.0726372
Toomer	0.0724898
Dandridge	0.0724523
Ntuyahaga	0.0723885
Barad	0.0721977
Berenson	0.0721383
Schott	0.0720481
Hiett	0.0716111
Dorismond	0.0708057
Nyerere	0.0704272
Gadhafi	0.0699212
"El Guerrouj"	0.0695723
McGreevey	0.0694948
Gaither	0.0693176
Farrakhan	0.0691881
Tran	0.0691362
Laudrup	0.0691304
Saramago	0.0691047
Knievel	0.0690973
Zenga	0.0682544
BBOX	0.0679422
Gravano	0.0677318
GUMBEL	0.0676661
Tong	0.0675496
Slepian	0.0675149
Stayner	0.0674726
Elhage	0.0674692
Azizah	0.0673074
Gusmao	0.0672892
Barton	0.0670731
Irvan	0.0670298
Espinoza	0.0669521
Montiel	0.0667744
Cassidy	0.0666781
Alcantara	0.0665453
Koehler	0.0665449
Samuelson	0.0660699
Eastwood	0.0659833
Arizmendi	0.0659631
co-pilot	0.0658315
Schulz	0.0657301
Shahak	0.0656985
Kimes	0.0655543
Tilberis	0.0653565
Zanardi	0.0653331
Rockefeller	0.0653174
Abiola	0.0653
Savimbi	0.0651053
Krasniqi	0.0650694
Weizman	0.0649386
Faget	0.0648415
Livoti	0.064687
Zheng	0.064572
Ozersky	0.0645623
O'Hara	0.0644008
Nijinsky	0.0640235
Kern	0.0639749
Stahl	0.063916
CAA	0.0638656
Winchell	0.0638578
Modell	0.0638376
"robbery suspect"	0.0638191
Resendez-Ramirez	0.0636814
Assad	0.0636093
Fiorina	0.0635805
Dudayev	0.063564
Abu-Jamal	0.0634589
Sund	0.0634204
Stith	0.0634139
Faulder	0.063136
Safir	0.063064
KEVORKIAN	0.0628827
Whittingham	0.0627225
Soliah	0.0626743
Capano	0.062674
Figueroa	0.0625411
Camacho	0.062495
Trudeau	0.062469
Kazhegeldin	0.0624163
Andretti	0.0620901
Ecuadoreans	0.0620628
Cheung	0.0620035
Mokhehle	0.0619958
Turek	0.0619563
Harrer	0.0619072
Crenshaw	0.0616202
Schweitzer	0.061587
Schlichtmann	0.0615568
Hajjarian	0.0615493
Cusack	0.0615194
Vogts	0.0615145
Tevanian	0.0615135
"Al Fayed"	0.0613409
Ballmer	0.0612704
Atwood	0.0611354
Blackmun	0.0610772
Chevenement	0.0610414
Thayer	0.0609916
Zolak	0.0608949
Gartner	0.0608495
Mariucci	0.0607821
Siskel	0.0607222
PBSI	0.0606311
Karadzic	0.0605309
Harrick	0.0604866
Hussein	0.0604503
McCourt	0.0603544
Moscoso	0.0603198
McDuff	0.0601513
"Vivien Leigh"	0.0601152
Beckenbauer	0.0601092
Medvedev	0.0600666
Gibson	0.0600619
Perelman	0.0600461
Jayasinghe	0.0599737
Collymore	0.0599467
Sergeyev	0.0599427
Quackenbush	0.0596832
Passarella	0.0596046
Zarkin	0.0595769
Kodikian	0.0595596
Houdini	0.0594852
Ickes	0.0594678
Ramseys	0.0592376
Neulander	0.0591828
Palczynski	0.0590804
Tarawneh	0.0590345
Ciampi	0.0590107
Yoon	0.0588297
Ripken	0.0588197
Hemings	0.0587671
Lafleur	0.0587609
hawking	0.0587058
Harkes	0.058683
Kalejs	0.0585259
Wetherell	0.0582176
Frankel	0.0582117
Papon	0.0580997
Coulter	0.0580452
Byrd	0.0579189
Plunkett	0.0577539
Koch-Weser	0.0575732
Hensley	0.0575534
zeppelin	0.0575203
Gorton	0.0574986
Kirby	0.0574828
Bouteflika	0.0573722
Stepinac	0.0573677
Carneal	0.0573657
Okada	0.0572885
))
(batsman (desc 6042.73) (sims
batsmen	0.24333
bowler	0.114536
"Wasim Akram"	0.0988082
cricketer	0.0980303
"base runner"	0.0805303
"wild pitch"	0.0755111
"chess player"	0.0706159
"earned run"	0.0705549
"Carl Hooper"	0.0702067
"two homers"	0.0686698
"unearned run"	0.0686097
spinner	0.0677398
"Ijaz Ahmed"	0.0649586
baserunner	0.0637778
"Curtly Ambrose"	0.0619164
"three pitchers"	0.0602306
"base hit"	0.0596981
"Alec Stewart"	0.0595233
"Mark Taylor"	0.0573179
thrower	0.0566989
Hooper	0.0557067
baserunners	0.0555266
"sacrifice fly"	0.0554669
groundout	0.055259
"four homers"	0.0552555
"Mark Waugh"	0.0550217
"volleyball player"	0.0530288
"Susanthika Jayasinghe"	0.052758
"important person"	0.052747
goal-scorer	0.0525917
strikeout	0.0505432
goalkeeper	0.0502259
hurdler	0.0496768
bunt	0.0493447
cricket	0.0489699
"Matt Mieske"	0.0489358
miler	0.0488686
"pass catcher"	0.048819
batting	0.0487301
Cronje	0.0485902
"Ian Wright"	0.0485782
footballer	0.0485565
marathoner	0.0482905
skipper	0.048249
Hollins	0.0482368
rebounders	0.0478991
"tennis player"	0.0473144
tackler	0.0470128
"Steve McManaman"	0.0464874
"Hansie Cronje"	0.0457381
"Dave Burba"	0.0455133
"Phil Nevin"	0.0453511
rebounder	0.0449732
"Mike Atherton"	0.0448613
"Russ Springer"	0.0447085
major-leaguers	0.0446461
"letter writer"	0.0445966
hurler	0.0445591
"Dez White"	0.0443933
"Stan Collymore"	0.0443894
Lara	0.0443247
"Tim Salmon"	0.0443212
"Gerald Williams"	0.0440387
"Fan Zhiyi"	0.043834
"Glenn McGrath"	0.0438161
"Justin Langer"	0.043726
"David Seaman"	0.0436623
Glanville	0.0436511
Taufik	0.0435765
"bicycle race"	0.0433852
DiSarcina	0.0432017
fielder	0.0427116
Bichette	0.0426914
slugger	0.0423088
"Bobby Charlton"	0.0422881
vaulter	0.0422792
"solo homer"	0.0422621
"Courtney Walsh"	0.0422573
"Mark Butcher"	0.0422507
"relief pitcher"	0.0422294
"service break"	0.0420947
marksman	0.0420889
"Troy O'Leary"	0.0420658
passer	0.0420073
"Chan Ho Park"	0.0419392
"Salim Malik"	0.0418625
"Jeremy Giambi"	0.0418535
"Michael Owen"	0.0415212
"Ian Healy"	0.0414597
"Hao Haidong"	0.0414111
"world traveler"	0.0413104
lefthander	0.0408348
Bebeto	0.0406149
"Eric Owens"	0.0405827
"Benny Agbayani"	0.0405695
"Aaron Boone"	0.0404815
"big leaguer"	0.0404572
sprinter	0.0404361
"Jose Cruz Jr."	0.0403691
Castilla	0.0402933
Ince	0.040244
Recchi	0.0400063
))
(batsmen (desc 4541.05) (sims
batsman	0.24333
bowler	0.169565
cricketer	0.15338
baserunners	0.10321
QBs	0.100137
"base runner"	0.0896235
"wild pitch"	0.0807609
spinner	0.0785184
tacklers	0.0781089
"foul shot"	0.0765973
Dutchmen	0.0744405
"No. @s"	0.073337
footballer	0.0709403
par-@s	0.0704944
hurler	0.0701036
seasons.	0.0690951
"New York Republicans"	0.069048
crewmembers	0.0684647
armymen	0.0676323
postseasons	0.0676214
"Paul Gascoigne"	0.0671223
"Alec Stewart"	0.0670959
metropolises	0.0661541
"another @-pointer"	0.0657391
wicket	0.0653286
Concordes	0.0647955
goaltenders	0.064282
internationals	0.0641479
rushers	0.0640926
"Baby Bells"	0.0640601
DiSarcina	0.0639304
"base hit"	0.0628084
carmakers	0.062793
cricket	0.0625446
midfielders	0.0622479
upperclassmen	0.0621825
Hussain	0.0616713
"Scarlet Knights"	0.0614693
"Craig Counsell"	0.0610498
shuttlers	0.0604456
closers	0.0600285
Loretta	0.0594723
"Ryder Cups"	0.0594433
"Pro Bowls"	0.0590689
starts.	0.0586962
batting	0.0586118
"four @-pointers"	0.0586049
sherpas	0.0585083
"Harry Kewell"	0.0584769
rebounders	0.0584747
selector	0.0582896
Trey	0.0581182
"Final Fours"	0.0581063
gyroscope	0.0581045
"major-league team"	0.0579418
three-pointers	0.0578694
vote-getters	0.0578256
"Robbie Fowler"	0.0577429
"seeded player"	0.0577159
Hollins	0.0575949
curveballs	0.0574884
pinch-hitters	0.0574848
quarterfinalists	0.0572072
"major league season"	0.0571511
returners	0.0570048
frontrunners	0.056525
"two pitchers"	0.0565136
"unearned run"	0.0564952
defensemen	0.0555911
wideouts	0.0554971
"five spot"	0.0553389
Giambi	0.0550413
"three @-pointers"	0.0549937
fielder	0.0549746
Opens	0.0548894
minor-leaguers	0.0548358
years.	0.0545084
"All-Star Games"	0.0544645
strikeout	0.0541396
signees	0.0540039
"J.T Snow"	0.0535999
"New York Democrats"	0.0535741
"Mark Waugh"	0.0535563
"Dez White"	0.0533757
thrower	0.0532542
playmakers	0.0528684
Rugby	0.052801
FM	0.0527788
corporates	0.0524522
"three pitchers"	0.0523138
"Einar Diaz"	0.0518639
"auto company"	0.051602
cornerbacks	0.0515377
"Sachin Tendulkar"	0.051446
no-decisions	0.0512548
golfer	0.0511525
Bichette	0.0510929
"break of serve"	0.0509599
"No. @,@@@"	0.0504172
"British Opens"	0.0503741
"nuclear explosion"	0.0502402
"two homers"	0.0500503
McDuffie	0.0499952
Atherton	0.0499549
"starting pitcher"	0.04952
Govt	0.0495189
inductees	0.0494022
climber	0.0493561
"Orlin Norris"	0.0491969
major-leaguers	0.049179
"service break"	0.0490554
highflier	0.0490331
cager	0.0488769
great-grandchildren	0.0488108
"Stanley Cups"	0.0485421
"World Cups"	0.0483713
hostage-takers	0.0480511
"Salim Malik"	0.0479996
goalscorer	0.0477566
dramatist	0.0477386
Klesko	0.0474081
goalkeeper	0.0474057
triathletes	0.0473939
"double play"	0.0472727
Stealers	0.0472609
"earned run"	0.0471723
crewmen	0.0471551
deuce	0.0471292
Romario	0.0468344
Cora	0.0467197
weightlifter	0.046661
"tennis ball"	0.0466086
"Michael Owen"	0.0464987
"Crystal Palace"	0.0462058
"Dave Burba"	0.0461614
"official document"	0.046133
consortia	0.0461209
Fryman	0.0460495
"supporting players"	0.046
bookie	0.045974
"target area"	0.0458357
"Mark Bosnich"	0.0458316
"Mark Richardson"	0.045825
Springbok	0.0457681
No.@@@	0.04575
"arms industry"	0.0457003
"rock bottom"	0.045686
workmen	0.0456089
All-Americans	0.0455978
co-leaders	0.0454253
"crew member"	0.0453815
"two @-pointers"	0.0453182
thoroughbred	0.0452621
"Courtney Walsh"	0.0452059
Bowling	0.0451757
Brees	0.0451719
skipper	0.0451706
"Leander Paes"	0.0451343
"Hao Haidong"	0.0451132
"military post"	0.0450885
"Viswanathan Anand"	0.0450628
Trepagnier	0.0450014
Kamensky	0.0449943
co-chairs	0.0449666
crewmates	0.0448644
Briere	0.0448107
"Eric Moulds"	0.0447995
matador	0.0447942
"Super Bowls"	0.0447677
"Gerald Williams"	0.0446769
"Allan Donald"	0.0445727
"Fernando Vina"	0.0444547
flashpoints	0.0443828
sharemarket	0.0443723
"foster child"	0.0442559
"half life"	0.0442265
"Todd Hollandsworth"	0.0442218
timeouts	0.0441184
"tennis player"	0.0441074
Erstad	0.0439213
"Phil Nevin"	0.0439188
"David Beckham"	0.0439102
billionaires	0.0438373
overs	0.0437338
"Les Bleus"	0.0437225
Ghanaians	0.0436971
violinist	0.0436665
"Mark Taylor"	0.0435661
"Candra Wijaya"	0.0434967
"test match"	0.0434259
Christmases	0.0433935
firsts	0.043371
shipbuilder	0.0433522
Goodwin	0.0432379
"Ziggy Palffy"	0.0431184
"sacrifice fly"	0.0431085
"Matt Franco"	0.0430797
gyro	0.0430655
"Curtly Ambrose"	0.043026
Warne	0.0430168
))
(battalion (desc 27507.4) (sims
Brigade	0.26805
Regiment	0.234054
infantry	0.157202
contingent	0.152472
squadron	0.152238
platoon	0.149381
troop	0.146534
"Infantry Division"	0.144809
peacekeeper	0.13008
soldier	0.129324
unit	0.118281
detachment	0.117773
army	0.116493
"military unit"	0.115103
"Infantry Battalion"	0.114439
paratrooper	0.110832
commando	0.110147
"police force"	0.109146
marine	0.108739
"Airborne Division"	0.108681
patrol	0.108428
personnel	0.107621
ECOMOG	0.107617
corps	0.107051
"military police"	0.104317
"military force"	0.102968
"battle group"	0.102637
UNIFIL	0.0998817
"Air Force"	0.0986704
reinforcement	0.0979115
commander	0.0969486
"armed forces"	0.094882
"security force"	0.0946909
"National Guard"	0.0945289
squad	0.0944196
helicopter	0.0939729
warship	0.0937394
"military personnel"	0.0918015
policemen	0.0909888
"task force"	0.0897659
"artillery unit"	0.0895391
warplanes	0.0882498
"Uganda People's Defense Forces"	0.0881613
"personnel carrier"	0.0880493
KFOR	0.0872342
troops	0.0865037
garrison	0.0855413
gunship	0.0852912
militia	0.0845155
navy	0.0834727
convoy	0.082577
servicemen	0.0824994
police	0.0799454
Corp	0.0798995
fighter	0.0784422
"patrol boat"	0.0780249
crew	0.0773768
officer	0.0766268
militiamen	0.0759445
cavalry	0.0755765
Apaches	0.0748277
"naval forces"	0.0739952
artillery	0.0732833
SFOR	0.0732431
Mission	0.0732379
deployment	0.0729417
"fire truck"	0.0728439
military	0.0726265
frigate	0.0725988
aircraft	0.0721018
B-@s	0.0716153
fleet	0.0715185
"honor guard"	0.0714898
PLA	0.0713598
division	0.0709886
command	0.0709165
IRGC	0.0700938
"Stabilization Force"	0.0699223
UPDF	0.0696845
reservist	0.0696549
"Northern Fleet"	0.0677009
soliders	0.0676378
"U.N. Mission"	0.0675999
TNI	0.0670926
paratroops	0.0669561
rebel	0.0667245
guerrilla	0.0664314
SLA	0.0663635
vessel	0.0662837
IFOR	0.0662568
"Southern Command"	0.0662249
ship	0.0659219
"fire engine"	0.0658461
medic	0.0657193
"military officer"	0.0656563
"aircraft carrier"	0.0656143
tank	0.0655539
"Liberation Army"	0.0653275
firefighters	0.0647561
bomber	0.0646659
mercenary	0.0645471
armymen	0.0645062
fire-fighter	0.0644952
observer	0.0643858
"People's Liberation Army"	0.06365
"army officer"	0.0630748
"police officer"	0.0630156
paramilitary	0.0624357
destroyer	0.0619753
"high command"	0.0618871
"South Lebanon Army"	0.0617972
batch	0.0614666
"Israel Defense Forces"	0.061418
"Coast guard"	0.0613523
firemen	0.0611886
Gendarme	0.0605409
truckload	0.0602455
faction	0.0600085
fighter-bombers	0.0598466
"field hospital"	0.0595421
IDF	0.0595062
"Republican Guard"	0.059495
submarine	0.0592505
"Implementation Force"	0.059184
"fire fighter"	0.0591757
militant	0.0591099
diver	0.0587983
Ambulance	0.0587595
sending	0.0587165
"military vehicle"	0.0586481
Kamajors	0.0584998
"Yugoslav Army"	0.0581546
Sergeant	0.0579329
Colonel	0.0579051
"intelligence officer"	0.0577776
"National Guardsmen"	0.0577538
KLA	0.057672
"U.S. Air Force"	0.0572924
verifiers	0.0572084
armada	0.0570746
LRA	0.0570087
cadre	0.0569161
"large number"	0.0562289
"military man"	0.056019
insurgent	0.0559629
delegation	0.0559326
Phalanx	0.0558694
dozen	0.0558568
F-@@s	0.0558513
cordon	0.0557924
conscript	0.0557391
busload	0.0557384
"U.S. Army"	0.0555687
"Kosovo Liberation Army"	0.0552538
civilian	0.0551894
plane	0.0548536
"fire brigade"	0.0547811
Interahamwe	0.0541825
Manpower	0.0539319
MILF	0.0538262
ABRI	0.053695
diplomat	0.0536417
UNAMSIL	0.0535305
pilot	0.0534835
infantrymen	0.0533208
jeep	0.0530457
gunmen	0.0529937
volunteer	0.0529186
airmen	0.0528409
tanker	0.0527887
"work group"	0.0527324
"diplomatic mission"	0.0525937
RUF	0.0525229
trooper	0.0521526
Angolan	0.0516055
Ugandan	0.0514225
Lebanese	0.0511191
vehicle	0.0506474
armor	0.0505108
outpost	0.0504243
"intelligence agent"	0.0504219
"air defense"	0.0502693
British	0.0500754
UNFICYP	0.0500305
headquarter	0.0498475
presence	0.0497122
"core group"	0.0495504
sailor	0.0495198
training	0.0493967
hundred	0.0493782
"heavy weapon"	0.049167
"Marine Corps"	0.0490846
airforce	0.0489096
NATO	0.0488444
rescuer	0.048841
"border patrol"	0.0488357
"fighter aircraft"	0.0487677
U.N.	0.0486154
equipment	0.0483343
legion	0.0483266
))
(Batten (desc 1113.42) (sims
"Liu Limin"	0.151987
"Penny Heyns"	0.138432
Krayzelburg	0.134014
Kipketer	0.131922
"Wu Yanyan"	0.126178
"Khalid Khannouchi"	0.119677
"Kim Batten"	0.118862
"El Guerrouj"	0.118449
"Kieren Perkins"	0.116034
Longo	0.112916
"Hiroyasu Shimizu"	0.110893
"Daniel Komen"	0.110779
Klim	0.109432
"Colin Jackson"	0.104728
Devers	0.100728
Dragila	0.100226
"Denis Pankratov"	0.0972542
"Le Jingyi"	0.0959547
"Michael Klim"	0.0955146
"Samantha Riley"	0.0947623
Un-yong	0.0940816
"Jonathan Edwards"	0.0939366
"Chen Yan"	0.0931926
"Bernard Barmasai"	0.0930716
Zelezny	0.0927726
"Randy Barnes"	0.0913773
Loroupe	0.0913593
"Sergei Bubka"	0.0907254
"Stacy Dragila"	0.0904177
"Wang Junxia"	0.0899786
"Tegla Loroupe"	0.087608
"Irina Privalova"	0.0866169
chee	0.0859594
"Claudia Poll"	0.0856354
"Heike Drechsler"	0.0847725
"Noureddine Morceli"	0.084409
"Susie O'Neill"	0.0838864
"Maria Mutola"	0.0838279
"Jeremy Wotherspoon"	0.0833474
"Regina Jacobs"	0.0815265
Heyns	0.0810566
Fredericks	0.0806017
"Donovan Bailey"	0.0803297
"Lenny Krayzelburg"	0.080294
"Hicham El Guerrouj"	0.0796914
Doohan	0.0793855
"Wilson Kipketer"	0.0792815
Morceli	0.0787956
"Li Xuemei"	0.0785682
"Sandra Voelker"	0.0780107
"Svetlana Masterkova"	0.0774195
Godina	0.0768656
Sotomayor	0.0759712
"Maurice Greene"	0.0756925
"Jackie Joyner-Kersee"	0.075018
Wondertross	0.0747334
"Brooke Bennett"	0.0736893
"Earnhardt Jr."	0.0729967
"Tom Dolan"	0.0716151
"Answer Lively"	0.0711504
Dae-jung	0.0710569
"Ian Thorpe"	0.0698769
Gan	0.0691932
"Cathy Freeman"	0.0688003
"Moses Tanui"	0.0686928
Junger	0.0683436
Gebrselassie	0.0678172
"Florence Griffith Joyner"	0.0673267
"Allen Johnson"	0.0653296
"Haile Gebrselassie"	0.0652203
"Running Stag"	0.0648555
Bruguera	0.0647153
Sautin	0.0645145
Dolan	0.0641389
"Dan O'Brien"	0.0638047
"Chris Boardman"	0.0634868
Boardman	0.0634601
Appleby	0.0634331
"Steve Backley"	0.0633477
Luyendyk	0.0630279
Olano	0.0629699
Dobson	0.0628774
"Emma George"	0.062777
Szabo	0.0626215
raver	0.0623983
"Greg Foster"	0.0618267
"Li Jiajun"	0.0617852
Ottey	0.0614164
Artax	0.0605511
Tanui	0.0603325
Laudor	0.0599105
Joyner-Kersee	0.0598443
calibre	0.0588216
"Paul Tergat"	0.0587348
Beckenbauer	0.0586664
"Claudia Pechstein"	0.0583962
"Michael Johnson"	0.0583465
"Javier Sotomayor"	0.0583236
"Michelle Kwan"	0.0576582
"Elena Berezhnaya"	0.0572748
Popov	0.0567454
Biffle	0.0567019
"Pernilla Wiberg"	0.0566359
Seizinger	0.0564405
"Wang Chunlu"	0.0560093
"Alexei Yagudin"	0.0558217
"Fatuma Roba"	0.0557102
Hickman	0.0553861
"Svetlana Khorkina"	0.0553638
Le	0.0550925
Boldon	0.055046
Butyrskaya	0.0550171
Pippig	0.0549738
Kohn	0.0549552
"Patrick J. Buchanan"	0.0549355
"Wang Tao"	0.0549352
IL	0.054909
"C.J Hunter"	0.0549026
Anand	0.054885
Baumann	0.0548701
"Grant Hackett"	0.0546973
Ek	0.0542382
"Elvis Stojko"	0.0538507
Alonso	0.0537195
Suzuki	0.0535832
Kagwe	0.0535828
Villeneuve	0.0535711
Vasser	0.0533824
Oliveira	0.0532674
Lepage	0.0531487
"Hilde Gerg"	0.052899
"Old Trieste"	0.0522672
"Jeff Hartwig"	0.0521688
Wilander	0.0521433
"Sonia O'Sullivan"	0.0521373
Kjus	0.0520934
Irvan	0.0518346
"Jean-Philippe Gatien"	0.0516985
"Gianni Romme"	0.0516476
Passarella	0.0514845
"Inger Miller"	0.0514137
Navratilova	0.0513907
Cai	0.0513338
Perec	0.0512856
"Michael Doohan"	0.0503077
Tomba	0.0502714
Yamamoto	0.0502518
"Linford Christie"	0.0500515
Hoogenband	0.0498868
Smitherman	0.0497796
Pantani	0.0496042
Aamodt	0.0494834
"Charles Austin"	0.049148
"Renate Goetschl"	0.0489953
"Deon Hemmings"	0.0489186
"Wang Yan"	0.0487964
Contreras	0.0485895
"Alexander Popov"	0.0485737
Coutts	0.048421
"Ato Boldon"	0.0483716
Maier	0.0483073
"Michael Weiss"	0.0481895
Huber	0.0481348
Jayasinghe	0.0479774
"Fu Mingxia"	0.0479374
Watanabe	0.0478603
"Felix Mantilla"	0.0476653
Perkins	0.047488
Kay	0.0473392
Khannouchi	0.0472494
"Alexei Nemov"	0.0471516
Karpov	0.0471403
"Schalke @@"	0.0470562
"Yang Yang"	0.0469269
Koehler	0.0468894
"Wang Yifu"	0.0467853
Kuerten	0.0466845
"Buster Douglas"	0.0466703
Montalvo	0.046634
"Ivan Pedroso"	0.0466238
"Ong Ewe Hock"	0.0466043
"Alexei Urmanov"	0.0465485
"Jearl Miles-Clark"	0.0465387
Kajiyama	0.0464988
"Lasse Kjus"	0.0464235
"Michael Von Gruenigen"	0.0462749
Goodrich	0.0462484
"Roy Jones Jr."	0.04617
Chebet	0.046114
Zvereva	0.0461047
"Gail Devers"	0.0460468
Yagudin	0.045917
"Chen Jing"	0.0458516
Zamalek	0.0456782
sis	0.0455346
Samuelson	0.0454047
Tapia	0.0452359
Kwan	0.0452245
"Lin Li"	0.0451868
Testud	0.045144
))
(batter (desc 52137.5) (sims
hitter	0.246386
at-bat	0.135887
inning	0.129504
strikeout	0.124045
"earned run"	0.11644
outs	0.115763
baserunners	0.11447
"Tino Martinez"	0.109866
"base runner"	0.108969
shortstop	0.108307
"Chipper Jones"	0.107191
"home run"	0.106835
pitch	0.106391
catcher	0.105145
"unearned run"	0.104774
"Paul O'Neill"	0.104493
"pinch hitter"	0.102625
"Chuck Knoblauch"	0.102362
pitcher	0.101602
"first baseman"	0.101449
"center fielder"	0.101434
"Bernie Williams"	0.0979913
RBI	0.0976857
"Ryan Klesko"	0.0968916
"Nomar Garciaparra"	0.096756
dough	0.0962308
"Andruw Jones"	0.0960619
outfielder	0.0960407
"Derek Jeter"	0.0946025
Garciaparra	0.0944531
"Jorge Posada"	0.0943405
"double play"	0.0926762
"designated hitter"	0.0921912
mixture	0.0916246
Martinez	0.0915486
"John Valentin"	0.0899611
"wild pitch"	0.0897558
"Edgardo Alfonzo"	0.0894456
Olerud	0.0889359
"second baseman"	0.0888453
"Troy O'Leary"	0.0878739
runner	0.0870045
Jeter	0.0868075
homer	0.0867763
"Darren Lewis"	0.0863844
games.	0.0861053
"left fielder"	0.0857036
"Scott Brosius"	0.0854786
"right fielder"	0.0839233
"Jose Offerman"	0.0829874
baserunner	0.0829777
"John Olerud"	0.082493
"Brian Daubach"	0.0823151
"Carl Everett"	0.0820277
"Gerald Williams"	0.0819972
"Mike Piazza"	0.0819249
Vaughn	0.0816124
"Jim Thome"	0.0815854
single	0.0809718
starter	0.0800302
slugger	0.0791157
"Mo Vaughn"	0.079043
McGwire	0.0787655
"Garret Anderson"	0.0787584
starts.	0.078647
Knoblauch	0.0784421
"David Bell"	0.078274
"Brian Jordan"	0.0778847
Alfonzo	0.0778511
"Trot Nixon"	0.077817
"Tim Salmon"	0.0776579
reliever	0.0775656
batsmen	0.0769272
"third baseman"	0.0762956
"Manny Ramirez"	0.0762404
Piazza	0.0762317
double	0.0762203
batting	0.0759826
"Phil Nevin"	0.0755296
no-hitter	0.0749143
O'Neill	0.0748139
"Quilvio Veras"	0.0747347
"Jim Leyritz"	0.074363
"Matt Stairs"	0.0738779
"Carlos Delgado"	0.073775
"Rafael Palmeiro"	0.0737731
"Troy Glaus"	0.0736489
"Javy Lopez"	0.0734296
triple	0.0733156
shutout	0.0732852
"Jay Bell"	0.0732357
"Edgar Martinez"	0.0729662
"Paul Konerko"	0.0725915
Sosa	0.0725773
"leading off"	0.0722368
leadoff	0.071991
"Mark Grudzielanek"	0.0719113
"Mike Stanley"	0.071884
bat	0.0717367
Yankee	0.0717238
player	0.0716598
Daubach	0.0716086
"starting pitcher"	0.071451
"Jason Varitek"	0.0713339
"Kenny Lofton"	0.0713119
Rodriguez	0.0710578
Brosius	0.0707515
"Chad Curtis"	0.0704941
"Alex Rodriguez"	0.0702199
"Jeff Bagwell"	0.0701599
ace	0.0698201
"free throw"	0.069802
"Darin Erstad"	0.0696632
error	0.0692192
Karros	0.0691349
"road game"	0.0691244
"Jim Edmonds"	0.0690995
bullpen	0.0690817
Bagwell	0.0687202
"solo homer"	0.0685816
"right field"	0.0685334
"Eric Karros"	0.0684989
brave	0.06831
"Bret Boone"	0.0681691
Thome	0.0681673
Millwood	0.0680656
"Rickey Henderson"	0.0680319
seventh	0.0680058
ninth	0.0677679
"Craig Biggio"	0.0677419
"B.J Surhoff"	0.0675497
"Juan Gonzalez"	0.0674288
shot	0.0671085
"Ken Griffey Jr."	0.0668661
"Andres Galarraga"	0.0668078
eighth	0.0666484
"Gary Sheffield"	0.0663401
"Mike Cameron"	0.0661423
"Scott Rolen"	0.0660684
"Joe Girardi"	0.0660664
Glaus	0.0660048
"Benny Agbayani"	0.0660016
"Mark McLemore"	0.0659489
Griffey	0.065906
"Johnny Damon"	0.0659044
lefty	0.0652446
Valentin	0.065045
Mets	0.0647201
"sacrifice fly"	0.0644463
pitching	0.0642761
"Derek Bell"	0.0640606
"Damon Buford"	0.0639837
"Matt Franco"	0.0638275
no-decision	0.0635782
"home game"	0.0635125
"grand slam"	0.0633244
infield	0.0631494
left-center	0.0631469
wicket	0.0631255
"third base"	0.0630432
Mondesi	0.0629187
dodger	0.0628943
"Robin Ventura"	0.0628446
"Tom Goodwin"	0.0627846
Palmeiro	0.0627091
"Tony Phillips"	0.0625208
"Matt Williams"	0.0624901
"ground ball"	0.0624661
infielder	0.0624257
"Todd Helton"	0.0620336
"Mark McGwire"	0.0620052
"Chili Davis"	0.0619748
"Steve Finley"	0.0618843
"Todd Hundley"	0.0618834
"Mike Sweeney"	0.0618595
Maddux	0.0618379
batsman	0.0615115
grounder	0.0614827
"Melvin Mora"	0.0614738
left-hander	0.0614731
ASTROS	0.0614678
"Omar Vizquel"	0.0613108
"Jay Buhner"	0.0612161
"batting average"	0.0611082
Padre	0.0610685
Erstad	0.0610498
sauce	0.0610483
"Charles Johnson"	0.0609062
"two homers"	0.0608838
Offerman	0.0608444
"base hit"	0.0608443
Ordonez	0.060479
fastball	0.0604705
"Todd Zeile"	0.0604186
Posada	0.0599441
custard	0.0598614
sixth	0.0598223
JAM	0.0594759
"Ben Grieve"	0.0594663
lefthander	0.0592233
))
("batter's box" (desc 4537.64) (sims
"starting gate"	0.0967258
"winner's circle"	0.0869618
"boxing ring"	0.0852002
"penalty box"	0.0816271
dugout	0.0769119
Rut	0.0713233
goalpost	0.0711131
"voting booth"	0.0685085
"dressing room"	0.0655665
"line of fire"	0.063617
outfield	0.0613703
ballgame	0.061171
Limo	0.0605206
post-season	0.0588676
Pyrenees	0.0575926
dormancy	0.0566036
"center field"	0.055901
"batting cage"	0.0554324
doldrums	0.0551832
limousine	0.0544404
"danger zone"	0.0534323
"rose garden"	0.0524346
"Boston Garden"	0.050981
crease	0.0504783
backfield	0.0494031
"left field"	0.0477124
hibernation	0.046467
"time machine"	0.046442
"political arena"	0.0462154
"Shea Stadium"	0.0455341
foyer	0.0440273
"line of business"	0.0435741
vestibule	0.0433324
"NCAA Tournament"	0.0428767
"triple play"	0.0425688
snit	0.0421707
"Victory Lane"	0.0410293
"direct contrast"	0.0407069
bleachers	0.0406696
blinker	0.0406032
NHIS	0.040473
"high gear"	0.0402552
))
(battering (desc 4812.05) (sims
drubbing	0.0972335
lashing	0.0938689
sell-off	0.0889849
gyration	0.0862935
selloff	0.084365
beating	0.0835676
pounding	0.0830599
volatility	0.0769273
"Bull Run"	0.0741229
outperformance	0.071323
downturn	0.0696076
ribbing	0.069429
onslaught	0.0686129
flogging	0.0672857
"bear market"	0.0671516
turbulence	0.0669415
windstorm	0.0659415
meltdown	0.0658615
downturns	0.0653726
swoon	0.0643999
whipping	0.0635751
"heat wave"	0.0624737
harassment	0.0623668
bombardment	0.0616882
tailspin	0.0615336
selloffs	0.0605718
"cold spell"	0.0605421
devastation	0.0604762
mistreatment	0.0602742
overvaluation	0.0602082
blunder	0.0596108
Typhoon	0.059312
trauma	0.058621
fallout	0.0582068
thrashing	0.0581697
flak	0.0580148
adversity	0.05739
slugfest	0.0571758
"price competition"	0.0570278
barrage	0.0559854
snowstorm	0.0559851
crises	0.0554123
hardship	0.0547907
gaffe	0.0547787
ravages	0.0546858
implosion	0.054643
vicissitude	0.0543077
"sexual harassment"	0.0540753
"cash crunch"	0.0538456
"ice storm"	0.0538384
fluctuation	0.0532338
upheaval	0.0530506
brunt	0.0529847
deluge	0.0529073
indignity	0.0527439
"dust storm"	0.0526232
"child abuse"	0.0525255
binge	0.0523343
debacle	0.0523112
calamity	0.0518122
bashing	0.0514929
jitters	0.0513727
intimidation	0.0511842
Wrath	0.0510019
Correction	0.0509654
falls	0.0508758
hiccup	0.0506447
shakeout	0.0505704
outage	0.0504576
sluggishness	0.0504474
mugging	0.0501129
humiliation	0.04996
bloodbath	0.0498647
buoyancy	0.0496303
"mental illness"	0.049536
tumult	0.0489684
oppression	0.0489025
lapse	0.0483601
hemorrhage	0.0483523
instability	0.0482782
molestation	0.0482531
grilling	0.0480774
misrule	0.0480693
carnage	0.0480627
bloodletting	0.0480197
taunting	0.0479963
ordeal	0.0479268
cataclysm	0.0477664
spanking	0.0476124
downsizing	0.0475513
sell-offs	0.0474638
backlash	0.047443
"election fraud"	0.0473587
"cost cutting"	0.0472902
"wear and tear"	0.0472784
whiplash	0.0472655
Babs	0.0472596
dislocation	0.0472419
"nervous breakdown"	0.0470872
revers	0.0469544
provocation	0.0468331
disruption	0.0468191
Ostracism	0.0467704
stomachache	0.0466351
hangover	0.0466092
knockdown	0.0465152
"nose dive"	0.0463309
heckling	0.0462604
oversupply	0.0461473
dustup	0.046142
tsunami	0.0458785
misstep	0.0457032
wipeout	0.045612
brutality	0.0455628
drawdown	0.0455336
fiasco	0.0455092
hypothermia	0.0454789
firestorm	0.0454285
contraction	0.0453773
"price cutting"	0.0453308
Vilification	0.0452683
reprisal	0.0452023
resilience	0.0445893
frostbite	0.0445049
"price change"	0.0444969
depreciation	0.0444429
manhunt	0.0443364
trashing	0.0442965
"interest rate increase"	0.0442527
"close call"	0.0440706
glut	0.0440415
miscalculation	0.0438492
rioting	0.0437794
hammering	0.0436671
contagion	0.0435637
divergence	0.0435096
scrubbing	0.0433486
nosebleed	0.0433
indebtedness	0.0432952
derision	0.0432149
coercion	0.0431532
"market correction"	0.0430617
"price pressure"	0.0429325
monsoon	0.0426066
manipulation	0.042574
"budget cut"	0.0424313
"liquidity problem"	0.0423872
catastrophe	0.0421702
"cold snap"	0.0420573
flack	0.0420363
comeuppance	0.0420359
divestment	0.0420178
"management shakeup"	0.0419989
downdraft	0.0419624
cross-examination	0.0418795
"emotional distress"	0.041773
"price war"	0.0417579
"air attack"	0.0416814
deprivation	0.0416734
repression	0.0416452
"hard times"	0.0415249
"foot traffic"	0.0414048
flu	0.041253
doldrums	0.0412117
persecution	0.0410538
"fire sale"	0.0409438
depletion	0.0409244
"rest day"	0.0408986
ill-treatment	0.0408798
"split decision"	0.0408616
"back pain"	0.040823
sunburn	0.0407951
upturn	0.0407697
poisoning	0.0407598
conflagration	0.0407259
bullishness	0.0407013
dribbling	0.0406343
Sino-African	0.0405261
disfigurement	0.0404276
decimation	0.0402813
outflow	0.0401514
burnings	0.040096
barb	0.0400698
blowout	0.0400667
incest	0.0400053
))
("battering ram" (desc 1248.28) (sims
"sounding board"	0.105098
"attack dog"	0.103063
"punching bag"	0.0954
smokescreen	0.0882548
"traffic cop"	0.0834292
topspin	0.0829685
"reference point"	0.0812436
"measuring stick"	0.0789405
go-between	0.0776006
"food additive"	0.0764119
"smoke screen"	0.0748364
"guinea pig"	0.0746416
"safety valve"	0.0729932
motivator	0.0705376
"proxy fight"	0.0698826
"power tool"	0.0696589
"shock absorber"	0.0690134
middleman	0.0682041
crosscourt	0.0673405
nigger	0.0668522
surrogate	0.0664219
sundial	0.0662136
aphrodisiac	0.0662058
ballast	0.0660032
decoy	0.0650128
cudgel	0.0649292
"front man"	0.0648342
"hypodermic needle"	0.0642486
Kleenex	0.0639472
"Trojan Horse"	0.0637512
laxative	0.0637336
identifier	0.0634346
"bargaining chip"	0.0632446
singsong	0.0632433
"big leaguer"	0.0632047
southpaw	0.0629695
"mechanical device"	0.0629594
yardstick	0.0626311
"first pitcher"	0.0622616
ruse	0.0621968
"rallying point"	0.0621686
screwdriver	0.0620136
"motor oil"	0.0616274
"base of operations"	0.0612848
stand-in	0.0610996
"hunting knife"	0.061083
"break of serve"	0.0604302
"chess player"	0.0603277
"coaxial cable"	0.0598861
"guardian angel"	0.0598814
crowbar	0.0597896
"second person"	0.0596712
hyphen	0.0596314
"bowling ball"	0.0595569
uptempo	0.0591919
Mahomes	0.0590668
copout	0.0587604
defibrillator	0.0587566
winch	0.0586779
toolbox	0.0580676
steppingstone	0.0579919
leech	0.0579023
pinata	0.0578599
DH	0.0578322
bazooka	0.0577129
stimulant	0.0576111
troubleshooter	0.057563
scattershot	0.057563
"service agency"	0.0575106
mitochondria	0.0574945
"stepping stone"	0.057338
"white knight"	0.0570834
battler	0.0568883
puncher	0.0568718
bodybuilder	0.0567395
template	0.056668
"altar boy"	0.0565561
entrepot	0.0563955
sweetener	0.0563919
cannonball	0.056073
"cash cow"	0.0560282
diuretic	0.0560182
"fall guy"	0.0559783
"ping-pong ball"	0.0559177
forklift	0.0558267
"last resort"	0.0555426
guidepost	0.055275
"fig leaf"	0.0551672
subterfuge	0.055157
"good person"	0.0550617
"role player"	0.0549939
Snitch	0.0547819
gadfly	0.0546211
"poison gas"	0.0543445
subcontractor	0.0540764
pallbearer	0.0539112
"trump card"	0.0538774
"tree stump"	0.0536721
"hot potato"	0.0535581
"ballpoint pen"	0.0534044
racquet	0.0530504
"risk taker"	0.0526709
"Macao International Airport"	0.0525765
lemming	0.0523172
"embryonic cell"	0.0522897
synonym	0.0520771
"point system"	0.0520715
scapegoat	0.0518775
"paper cup"	0.0517144
puppeteer	0.0516462
"eminent domain"	0.0514735
"golden parachute"	0.0513968
"UNIX operating system"	0.051369
"psychological warfare"	0.0513059
"battle plan"	0.0512943
barbell	0.0511049
Clockwork	0.0510804
collateral	0.0508967
nonentity	0.0508937
notary	0.0507291
"water jug"	0.0507215
whistleblower	0.0506106
pitchman	0.0505102
one-two	0.0504917
"baseball bat"	0.0503164
slingshot	0.0501381
"hockey stick"	0.0499694
additive	0.0498445
chameleon	0.0495498
sentry	0.0495407
goal-scorer	0.0494616
weakling	0.0494423
"press agent"	0.049435
corrective	0.0492882
pinball	0.0492826
Afro-Cuban	0.0492559
"magnetic resonance imaging"	0.0490835
filler	0.0490326
choirboy	0.0487998
peacemaker	0.0486939
prosthesis	0.048636
earthling	0.048533
cinch	0.0485243
householder	0.048502
nonstarter	0.0484006
stinker	0.0483909
ringmaster	0.0482955
metronome	0.0481691
"rallying cry"	0.0479935
screwball	0.0479828
"staging area"	0.0479695
"lightning rod"	0.0479691
"more than @@@ million US dollars"	0.047913
shortcut	0.047902
cantor	0.047778
joysticks	0.0477627
punchline	0.0475699
Sledgehammer	0.0475439
sociopath	0.0475017
posterior	0.0474117
hyper	0.0474114
flamethrower	0.0474106
"radio frequency"	0.0474076
Nakata	0.047307
matchmaker	0.0472082
cipher	0.0470747
rainmaker	0.0470697
"Liquid Audio"	0.0470317
straining	0.0469919
beater	0.0469216
non-issue	0.0469129
"million yuan"	0.0468063
"good Samaritan"	0.046804
adenovirus	0.0467874
"chemical warfare"	0.0467441
grater	0.0467431
lubricant	0.0466983
pushover	0.0466374
"three @-pointers"	0.0465894
"phone book"	0.0465708
debit	0.0465449
sandpaper	0.0465011
Uzi	0.0464749
"first school"	0.0463607
middlemen	0.0463075
"fly rod"	0.0462999
moron	0.0462102
bumpkin	0.046017
"sitting duck"	0.0460169
"coffee pot"	0.0459124
Bergkamp	0.0458064
stuntman	0.0457708
emcee	0.0457684
shredders	0.0456983
CAD	0.0456317
sorter	0.0456215
"test case"	0.045607
stapler	0.0455232
coolant	0.0454789
"two fingers"	0.0453806
))
(battery (desc 58019.3) (sims
generator	0.128756
"assault and battery"	0.107689
"fuel cell"	0.106848
engine	0.103121
equipment	0.102761
chip	0.101729
manslaughter	0.100518
device	0.0993938
modem	0.0992414
tire	0.098339
"electric motor"	0.0949116
appliance	0.0937162
tank	0.0934562
sensor	0.0932028
missile	0.0923415
Computer	0.0922911
fuel	0.0918031
burglary	0.091445
"grand larceny"	0.0911602
"sexual assault"	0.0895745
"diesel engine"	0.0884148
microprocessor	0.088071
launcher	0.0879757
radar	0.0868785
automobile	0.086144
antenna	0.0860204
pump	0.0843701
software	0.0841343
semiconductor	0.0836282
motor	0.08291
machine	0.0826388
assault	0.0819169
larceny	0.0816114
"personal computer"	0.0815966
vehicle	0.0810864
processor	0.0810209
system	0.0810115
hardware	0.0804859
component	0.0804429
"household appliance"	0.0802133
scanner	0.080013
endangerment	0.0799529
"communications equipment"	0.0797887
sodomy	0.0792309
"disk drive"	0.0791728
aircraft	0.0790861
phone	0.0788919
"tv set"	0.0787022
weapon	0.0785342
"disorderly conduct"	0.07824
"memory chip"	0.0780776
theft	0.0778552
robbery	0.0778452
camera	0.0777625
product	0.0775445
"solar panel"	0.0766873
flashlight	0.0760388
PC	0.0760089
printer	0.0756477
supply	0.0755901
felony	0.0755473
air-conditioner	0.0750391
adapter	0.0748932
gasoline	0.074765
rape	0.07442
electronics	0.0744139
gun	0.0743027
"armed robbery"	0.0742007
gyroscope	0.073983
"spare part"	0.0739094
machinery	0.073839
arson	0.0737739
racketeering	0.0735217
chemical	0.0734068
"cellular phone"	0.0731638
furniture	0.0730557
artillery	0.0726895
car	0.0724338
plastic	0.0723198
server	0.0720571
electricity	0.0720148
ammunition	0.0719769
gas	0.0719073
cable	0.0717414
kit	0.071671
material	0.0714915
wire	0.0713864
laptop	0.071189
"washing machine"	0.0711361
helicopter	0.0709855
food	0.0709075
toy	0.0708544
fertilizer	0.0706968
forgery	0.0706959
Projector	0.0705547
amplifier	0.0704457
homicide	0.070338
keyboard	0.0702226
turbine	0.0701126
"CD player"	0.0701015
card	0.0700986
valve	0.0698138
monitor	0.0697852
goods	0.0696558
pipe	0.0696533
conditioner	0.0695987
microchip	0.0694802
"motor vehicle"	0.0694587
tube	0.0694271
"electronic device"	0.0693503
cosmetic	0.069289
transformer	0.0691112
handset	0.0690177
Satellite	0.0689854
container	0.0689368
VCR	0.0688645
refrigerator	0.0686386
brake	0.0684792
transmitter	0.0684121
accessory	0.0683794
kidnapping	0.0682711
extortion	0.068119
"home appliance"	0.0678969
"television set"	0.0678737
telephone	0.0678067
"building material"	0.067714
"air bag"	0.067684
embezzlement	0.0676381
gear	0.0675062
recorder	0.067476
disk	0.067339
"electrical system"	0.0672903
Clothing	0.0671862
item	0.0671335
interceptor	0.066871
"circuit board"	0.066427
"phone line"	0.0663606
technology	0.0661091
filter	0.066091
cylinder	0.0660826
instrument	0.0660633
possession	0.0657637
molestation	0.0657095
bomb	0.0655476
"integrated circuit"	0.0653244
microphone	0.0651963
box	0.0648475
"electronic equipment"	0.0645472
truck	0.0644888
weaponry	0.0644143
munition	0.0643176
medicine	0.0642701
cigarette	0.0642486
canister	0.0641502
"child abuse"	0.064141
"air defense"	0.0641133
metal	0.064101
cement	0.0640212
"natural gas"	0.0639158
steel	0.0638886
detector	0.0638744
bicycle	0.0638581
garment	0.0638495
"desktop computer"	0.0638456
heater	0.0637424
avionics	0.0636855
transmission	0.0636319
switch	0.0633432
wiring	0.0633379
conspiracy	0.063171
screen	0.0631618
bottle	0.0631085
shoe	0.0630929
reactor	0.0629498
warplanes	0.0629494
pharmaceutical	0.062916
"water heater"	0.0628923
cartridge	0.0626935
foodstuff	0.0626332
installation	0.0625787
model	0.062545
"hand-held computer"	0.0623522
compressor	0.0622666
bag	0.0622639
oil	0.0620473
"storage device"	0.0616862
"rocket launcher"	0.0614807
"tax evasion"	0.0613792
cloth	0.0613758
cell	0.061294
lamp	0.0612435
Vaccine	0.0611674
CD-ROM	0.061106
"hearing aid"	0.0610123
candle	0.0609963
"consumer goods"	0.0608974
CD	0.0608832
auto	0.0608787
tool	0.0607241
"nuclear reactor"	0.0606945
))
("Battery Park City" (desc 1758.37) (sims
"Bryant Park"	0.0963155
"Washington Heights"	0.080602
"Huntington Beach"	0.0789092
"studio apartment"	0.0729423
"Greenwich Village"	0.0720681
"South End"	0.0706365
"East River"	0.0690327
"Staten Island"	0.0657887
"Fifth Avenue"	0.0637328
"Kansas State University"	0.0635457
"American Museum of Natural History"	0.0634639
perpendicular	0.0626808
"Public School @@"	0.0619835
"Hollywood Hills"	0.061575
Soho	0.0612811
"Brooklyn Heights"	0.0608884
Tribeca	0.0606167
Nago	0.0590438
"East New York"	0.0590121
"Mount Sinai Hospital"	0.0585656
"Crown Heights"	0.0585397
"Park Slope"	0.0583679
"South Bronx"	0.058057
Izmit	0.0575247
"Newport Beach"	0.0573487
"Delray Beach"	0.0571074
"Film Forum"	0.0566979
"Har Homa"	0.0562923
"Walter Reade Theater"	0.0562248
Astoria	0.0558238
Alpharetta	0.0554516
Queens	0.0551476
"Asia Society"	0.0546333
"Mount Sinai Medical Center"	0.0545005
Chatsworth	0.0541658
"Westchester County"	0.0540898
Tarzana	0.0538574
"Rockland County"	0.0537973
Pudong	0.0536056
"Culver City"	0.05328
"San Fernando Valley"	0.0532784
"Second Avenue"	0.0531764
Missoula	0.0531502
Encino	0.052417
"Jewish Museum"	0.0522098
"Plaza Hotel"	0.0518953
"Solomon R. Guggenheim Museum"	0.0510693
Rafah	0.050897
"East Village"	0.0505751
"Pudong New Area"	0.0505625
Bangor	0.0502027
"Overland Park"	0.0501897
"Sinai Peninsula"	0.0499808
Schenectady	0.0497818
"Pennsylvania Station"	0.0496044
"Fort Lee"	0.0494583
"College Park"	0.04893
Stockbridge	0.0486951
Quincy	0.0484194
"Riverside Church"	0.0481734
"Highland Park"	0.0481401
"Boynton Beach"	0.0481336
Yonkers	0.0470212
Ridgewood	0.0467003
"High Point"	0.046463
"West Village"	0.0463748
"New Canaan"	0.0463369
Redding	0.0458891
Renton	0.0457802
"Pacific Palisades"	0.0457634
"Cherry Hill"	0.045731
"Brighton Beach"	0.0456353
"Santa Monica"	0.0455162
Kirkland	0.0454316
"Council on Foreign Relations"	0.0452157
"Federal District Court"	0.0451268
"Port St. Lucie"	0.0450721
brownstone	0.0450115
"Niagara Falls"	0.0449842
"South San Francisco"	0.0449724
Buckhead	0.0446771
"Sheraton Hotel"	0.0446382
"Jersey City"	0.0444893
Avignon	0.0443775
"Sonoma County"	0.0441353
"Polo Grounds"	0.0438768
"Logan International Airport"	0.0438069
colonias	0.0434984
"Marin County"	0.043438
Covington	0.0433401
Riverdale	0.0432806
Peekskill	0.0431711
"Grand Central Terminal"	0.0431415
"Rockefeller Center"	0.0430774
Yichang	0.0428064
"College of Charleston"	0.0425568
"Space Needle"	0.0423074
"Legal Aid Society"	0.0421917
"Memorial Sloan-Kettering Cancer Center"	0.0417375
"Royal National Theater"	0.0416426
"Millennium Dome"	0.0413286
"subway station"	0.0413038
"Studio City"	0.0412088
Adirondacks	0.041117
Zhongguancun	0.0410671
"Lexington Avenue"	0.0409303
Sanya	0.0408437
Carthage	0.0408428
Woburn	0.0408298
"Arab East Jerusalem"	0.0408217
Mandalay	0.0407998
"Waldorf-Astoria Hotel"	0.0407523
"Walt Disney World"	0.0406167
palladium	0.0405861
"Egyptian capital"	0.0404876
Kissimmee	0.0404784
"Hilton Hotel"	0.0403349
"North End"	0.0402156
tenement	0.0401858
duplex	0.0400242
"indian reservation"	0.0400214
Suwanee	0.0400189
))
(Batticaloa (desc 1590.28) (sims
Trincomalee	0.411683
Vavuniya	0.222163
Mbarara	0.221236
Arua	0.209104
Kailahun	0.206748
Kandy	0.197573
Bundibugyo	0.195902
Kitgum	0.1954
Mullaitivu	0.195197
Kenema	0.185831
Gulu	0.184976
Mankulam	0.18236
Talipao	0.18135
Sylhet	0.17667
Kasese	0.176564
Mbale	0.1729
Bazar	0.159484
Urus-Martan	0.158684
Kilinochchi	0.158412
Vedeno	0.153851
Larnaca	0.151526
Gudermes	0.151062
Jinja	0.149036
Posoltega	0.145768
Nakuru	0.144782
Paphos	0.144679
Khulna	0.142529
Shali	0.142222
Galle	0.141926
Uvira	0.141593
Rajshahi	0.1352
Limassol	0.13506
Marjayoun	0.135048
Jaffna	0.134066
Makeni	0.133257
Decani	0.131309
Gisenyi	0.127713
Moshi	0.126041
Golcuk	0.123351
Bukavu	0.122793
Pailin	0.121059
Beersheba	0.117498
Moncton	0.117004
Baoding	0.11659
Kigoma	0.114106
Izmit	0.112546
Khabarovsk	0.112415
Vladikavkaz	0.111532
Multan	0.109668
Kismaio	0.108089
Brcko	0.107333
Kono	0.107013
dang	0.105657
Kalemie	0.104792
Kizlyar	0.104456
Tachilek	0.104105
Argun	0.104031
Rafah	0.103475
Juba	0.102782
Merca	0.102653
Moyo	0.102607
Ismailia	0.10228
"San Cristobal"	0.102242
Kismayu	0.102097
"Suva Reka"	0.101827
Kisumu	0.100736
Ashkelon	0.0996608
Baalbek	0.0994006
Atambua	0.0990437
Buldon	0.0982354
lira	0.0980763
Haicheng	0.0975144
Vojvodina	0.0973128
"Grand Central"	0.0971633
Nabatiyeh	0.0966715
Khost	0.0959572
Bamiyan	0.095598
Nago	0.0946886
Leskovac	0.0942311
Orahovac	0.0932312
"Eastern Province"	0.0921695
Vlore	0.0920779
Badme	0.0917418
Lijiang	0.0914902
Lhokseumawe	0.0902301
Mostar	0.0899581
Prijedor	0.0899421
Kaliningrad	0.0896277
Matadi	0.0895611
Paranthan	0.0892685
Macoris	0.0889949
Pancevo	0.0880151
Murmansk	0.0877852
Warri	0.0870394
Medina	0.0869476
Mashhad	0.0869248
Antalya	0.0861054
Vukovar	0.0855249
Qufu	0.0855175
Isfahan	0.0854945
Jenin	0.0854636
Novosibirsk	0.0838045
"Old Town"	0.0835338
Mitrovica	0.083372
Sihanoukville	0.0826478
Kukes	0.082591
Prizren	0.0825874
BRIGHTON	0.0816222
Bengkulu	0.0813161
Tokaimura	0.0810622
Jezzine	0.0808143
"Liberation Tigers of Tamil Eelam"	0.0804711
Baidoa	0.0799027
Ruhengeri	0.0786676
Najaf	0.07788
Beidaihe	0.077853
Durres	0.0774835
Waterloo	0.0768983
Yekaterinburg	0.0768975
"Port Said"	0.0767534
CHT	0.0766645
PEC	0.0764238
Catania	0.0759927
Manado	0.0754223
Punjab	0.0752732
Sofala	0.0750841
Tuzla	0.0748944
Jolo	0.0746715
"Northern Province"	0.0745248
"Andhra Pradesh"	0.0741755
Palembang	0.0740445
"Paradise Valley"	0.0738054
Diyarbakir	0.0737655
Cochabamba	0.073745
Tigray	0.0735769
Jericho	0.0731777
Mombasa	0.0731413
Taba	0.0726447
Bogor	0.0725833
"Mount Pleasant"	0.0725506
"Banja Luka"	0.0722221
Bekaa	0.072128
Goma	0.0719485
Gnjilane	0.071233
Tunceli	0.0710888
Basilan	0.0710392
Bushehr	0.0709123
Ballymoney	0.0707839
Djakovica	0.0706683
Weifang	0.0706676
Vitoria	0.0705481
Kupang	0.0702518
Klina	0.0701954
Assisi	0.070184
Ramallah	0.0701827
Abkhazia	0.0701264
"Victoria Falls"	0.0699745
Kwazulu-Natal	0.0697573
Ensenada	0.0696889
Kitwe	0.0695196
Baja	0.0691383
"North Caucasus"	0.0690418
Urosevac	0.0688371
Mazar-i-Sharif	0.0687682
Kindu	0.0686505
"Far Eastern"	0.0683425
Hastings	0.0682543
Suez	0.0680905
CityWalk	0.0680548
Herat	0.0680093
Jammu	0.0676088
Jalalabad	0.0674353
Dundalk	0.0672797
"Kosovska Mitrovica"	0.0670442
Malisevo	0.0663259
Samara	0.0658428
Haifa	0.065825
Jayapura	0.0657604
Sidon	0.0657567
"Pacific Coast"	0.0657212
Chamonix	0.065659
Taloqan	0.0654082
Podujevo	0.0650938
Mosul	0.0648876
Wenzhou	0.0646621
Malaga	0.0646521
Chittagong	0.0645591
Ambon	0.0645576
Zhangjiajie	0.0643388
"West Timor"	0.0642278
Anshan	0.0639489
Phuket	0.0637838
Ceyhan	0.063762
Leningrad	0.0636207
Avignon	0.0633822
Krasnoyarsk	0.0633385
riverside	0.0633187
Avila	0.0632118
Cacak	0.0630574
Luoyang	0.0628323
))
(Battie (desc 1638.94) (sims
Fortson	0.126127
"Tony Battie"	0.116198
"Dana Barros"	0.109325
"Mikhail Shtalenkov"	0.103932
McGrady	0.102382
Gatling	0.100599
Potapenko	0.0984564
Daigle	0.0901365
"Eric Murdock"	0.087337
Nowitzki	0.0861043
"Chauncey Billups"	0.0860165
Barrasso	0.0855715
Lue	0.0841257
Samuelsson	0.0829526
"Derrick Coleman"	0.0826611
"Leon Smith"	0.0785884
Potvin	0.0776449
"Jermaine O'Neal"	0.0775248
Grahame	0.0770773
"Abu Nidal"	0.0764842
"Jonathan Bender"	0.0764826
Mercer	0.07632
Baumhammers	0.0760021
"Dale Davis"	0.075614
McDyess	0.072247
"J.R Reid"	0.0718158
BOK	0.0712284
"Roman Turek"	0.0709818
Giacchetto	0.0697528
"Horace Grant"	0.0694768
Blaylock	0.0694556
Chelios	0.0690008
Kukoc	0.0689205
Legace	0.0682134
"Paul Pierce"	0.0665727
Laettner	0.0665392
"Travis Knight"	0.066191
"Di Canio"	0.0658822
McWilliams	0.0658688
"three pitchers"	0.0652025
"Eddie Jones"	0.0643399
"Raef LaFrentz"	0.0639871
Maag	0.0637517
Candiotti	0.0635899
"Larry Hughes"	0.0635718
Westbrook	0.062995
Ruben	0.0629098
Garcetti	0.0626897
Soliah	0.0625377
Coolio	0.0622363
"Vitaly Potapenko"	0.0618184
"little leaguer"	0.0616778
Feuer	0.0614963
"Jocelyn Thibault"	0.0612803
Stackhouse	0.0611641
"Adrian Ilie"	0.0611139
McIlvaine	0.0608523
"Anthony Mason"	0.0607698
"Wang Zhizhi"	0.0605665
"Ahmed Ressam"	0.0605615
"Felix Potvin"	0.0605403
"Rick Aguilera"	0.0602192
Plante	0.060173
"Marcus Camby"	0.0598186
Padilla	0.0596337
Imperatori	0.0590292
Nikitin	0.0590256
Geiger	0.0590136
Krstic	0.0588526
Laperriere	0.0587308
"Van Exel"	0.058712
"Randy Myers"	0.0586348
"Otis Thorpe"	0.0583368
Epps	0.0583205
Appier	0.0582981
"Theo Fleury"	0.0582038
Fleury	0.0581404
Kittles	0.0581239
"Mike Vernon"	0.0579055
Ochoa	0.0578175
Cavallo	0.0577101
Malian	0.0576972
Blackman	0.0575253
Mackenzie	0.0574641
"Derek Anderson"	0.057399
"Luis Hernandez"	0.0571045
"Dave Andreychuk"	0.0570403
Haouari	0.0569905
"Elden Campbell"	0.0568877
"Manny Fernandez"	0.056745
Talebi	0.0566737
Papon	0.0566598
"Kenny Anderson"	0.056536
Meskini	0.056526
Weatherspoon	0.0565228
Dele	0.0565131
"Vincent Damphousse"	0.0561829
Shayler	0.0560749
"foster mother"	0.0560619
Merlino	0.0559594
Siripongs	0.0555779
Majerle	0.0554121
"Pavel Bure"	0.0553526
Erik	0.0550495
"Kent Bottenfield"	0.0549597
Baerga	0.0549418
Cink	0.0549262
"Chris Gatling"	0.0547491
"Darren Holmes"	0.0547024
"Billy Taylor"	0.0546826
Recchi	0.0546633
Mikhailov	0.0546176
"Craig Counsell"	0.0545525
"Donyell Marshall"	0.0543601
"Antonio Davis"	0.0543054
Combs	0.0542211
Garrity	0.054196
Salo	0.0541064
"Ron Mercer"	0.0540849
"Matthew Barnaby"	0.0540526
Faulk	0.0539793
"LaPhonso Ellis"	0.0538366
LeClair	0.053795
Mims	0.0537278
"Grant Long"	0.0537136
Palczynski	0.0536897
Wheatley	0.0536823
Paciello	0.0536638
Agca	0.0534935
picketers	0.0534575
Hoke	0.0532192
Astacio	0.0530903
"David Wesley"	0.053048
"CORIE BLOUNT"	0.0529209
"Al Martin"	0.0527106
"Joey Cora"	0.0526515
"Ulf Samuelsson"	0.052598
Hagen	0.0524947
Biskind	0.0524796
cabbie	0.0523627
"Paolo Di Canio"	0.0523175
Barksdale	0.052306
Manley	0.0522345
Einhorn	0.0520922
Lacroix	0.0519125
Thibault	0.0518873
"Damian Rhodes"	0.0517188
Hollins	0.0516699
Ruelas	0.0515949
Starks	0.0515832
Jeffers	0.0514578
Fuhr	0.0514555
"Russell Peeler"	0.0514332
McIver	0.0514302
"summer house"	0.0514259
"Wendel Clark"	0.0514186
parolee	0.0513638
Finney	0.0513624
Dutchmen	0.051278
Olowokandi	0.0512508
Camby	0.0511908
"Jake Voskuhl"	0.0510972
Brunner	0.0510971
ex-combatants	0.0510307
"Rick Mirer"	0.0510149
"Rasheed Wallace"	0.0508959
"Antonio McDyess"	0.0508629
"Cliff Ronning"	0.0508429
Duchesne	0.0508062
Wilkins	0.0507492
"Robert Horry"	0.0507152
"Tommy Salo"	0.0505237
Elliot	0.0505113
"Andy Sheets"	0.0503543
"Tim Thomas"	0.0503501
Storr	0.0503193
"Butch Huskey"	0.0502814
Winn	0.0501351
"Digital Equipment"	0.0501131
"Lee Nailon"	0.0500903
Hoch	0.0500088
Kiareldeen	0.0499786
Kazhegeldin	0.0498777
"Dale Hunter"	0.0498769
Collier	0.049852
seamstress	0.0498407
"Cecil Collins"	0.0498335
"Gabe Muoneke"	0.0496192
Gogel	0.0494869
blinker	0.0494656
Maggette	0.0493863
Webber	0.0492723
"Dejan Savicevic"	0.0492431
Neulander	0.0491213
"Sean Burke"	0.0490725
"Thierry Henry"	0.0490394
"Fighting Irish"	0.0490273
"Bill Ranford"	0.0490189
"Joe Juneau"	0.0490132
Gorter	0.0490056
))
(batting (desc 26588.6) (sims
hitting	0.169702
"batting average"	0.125584
at-bat	0.111509
hitter	0.1092
"home run"	0.100191
RBI	0.0938922
homer	0.0846402
bat	0.0824739
strikeout	0.0790482
batter	0.0759826
"one homer"	0.0753768
inning	0.0717467
pitching	0.0717141
"over .@@@"	0.0716217
fielding	0.0695911
"four homers"	0.0668576
pinch-hit	0.0667024
"leading off"	0.0657165
"double play"	0.0653965
"two homers"	0.0640038
NL	0.0624256
All-Star	0.0616986
"World Series"	0.0616518
shortstop	0.061264
triple	0.06089
"grand slam"	0.0604216
catcher	0.059561
MVP	0.0590681
seventh	0.0586171
batsmen	0.0586118
Yankee	0.0582741
sixth	0.0571576
"six homers"	0.0570941
"five homers"	0.0570433
"most valuable player"	0.0557484
"unearned run"	0.0555723
fifth	0.0554496
"Derek Jeter"	0.0554113
no-hitter	0.054714
"Chad Curtis"	0.0543797
"NL Central"	0.0543498
"National League"	0.0541453
"American League West"	0.0539871
rushing	0.0538634
"Gerald Williams"	0.0538541
"center fielder"	0.0536145
outfielder	0.0533985
"John Olerud"	0.0532869
slugger	0.0531924
shutout	0.0531819
majors	0.0530035
"pinch hitter"	0.0528686
"Carl Everett"	0.0528554
"right fielder"	0.0527713
"U.S. Amateur"	0.0526943
"first and third"	0.0525945
"NFC East"	0.0525207
finishing	0.0523353
"second homer"	0.0522237
eighth	0.0521872
bullpen	0.0521738
overall	0.0520051
"Red Sox"	0.0517316
"designated hitter"	0.0516772
"AL West"	0.0515928
"earned run"	0.0515663
dodger	0.0512783
"first baseman"	0.0512209
"American League"	0.0511359
"Benny Agbayani"	0.0508896
"Bernie Williams"	0.0504878
pennant	0.0503541
"Tino Martinez"	0.0502998
fielder	0.0500271
"AL Central"	0.0499109
"Trot Nixon"	0.0498828
Padre	0.0497072
runner	0.0496785
baserunner	0.0495918
"Rafael Palmeiro"	0.0495741
"Brady Anderson"	0.0492921
Jeter	0.0489018
baserunners	0.0488967
lineup	0.0488361
postseason	0.0487628
batsman	0.0487301
Garciaparra	0.0487192
"Tom Goodwin"	0.0486883
bowler	0.0485698
al	0.0481105
"Mike Piazza"	0.047804
"three homers"	0.047696
"base runner"	0.047635
"major league"	0.0475344
"wild pitch"	0.0474775
"NL East"	0.0474534
starter	0.0473972
regular-season	0.0473504
"first and second"	0.0472055
Bundesliga	0.0471661
DH	0.0469371
brave	0.0469035
streak	0.0468529
ninth	0.0466422
outs	0.046521
"first base"	0.0462709
"Jorge Posada"	0.0462641
"third base"	0.0461155
"first homer"	0.0461065
lefty	0.045995
mariner	0.0459764
"perfect game"	0.0459638
percentage	0.045929
"Doug Glanville"	0.0453951
"Nomar Garciaparra"	0.0453612
"Chad Kreuter"	0.0449151
Thome	0.0448681
McLemore	0.0448541
pitcher	0.0447595
"ground ball"	0.044267
"Jose Offerman"	0.0441458
outfield	0.0441365
McGwire	0.0436673
Mets	0.0435674
cardinal	0.0434941
Sosa	0.0434914
"Gold Gloves"	0.0434822
playing	0.0434792
"solo homer"	0.0434375
Bowling	0.0433401
"Tony Gwynn"	0.0431899
"Troy O'Leary"	0.0431389
"Tim Salmon"	0.0431253
Mondesi	0.043051
"Chipper Jones"	0.0429602
Offerman	0.0428814
"Eric Young"	0.0428259
Olerud	0.0426425
"NL West"	0.0426015
"Scott Brosius"	0.0425247
"Melvin Mora"	0.0424836
"Division Series"	0.042389
"Stanley Cup"	0.0421385
error	0.0421323
ALCS	0.0421294
"Paul O'Neill"	0.0420816
"left fielder"	0.042058
"Todd Hollandsworth"	0.0419739
"Rusty Greer"	0.0418919
"sacrifice fly"	0.0418755
wicket	0.0418531
Edmonds	0.0417067
ASTROS	0.0416962
Piazza	0.0416739
cub	0.0416312
nine	0.0416147
"Ken Griffey Jr."	0.0416043
"second baseman"	0.0414877
diamondback	0.0414857
homestand	0.0414713
"center field"	0.0414421
A's	0.041416
"Sammy Sosa"	0.0414029
Brosius	0.041399
"Eastern Conference"	0.0413158
"pitching coach"	0.0412797
comeback	0.0412283
drove	0.0410413
"foul ball"	0.041037
"Ryan Klesko"	0.0409616
left-hander	0.0408048
"Boston Red Sox"	0.0407651
"NASCAR Winston Cup"	0.040723
"Matt Franco"	0.0406989
"Kenny Lofton"	0.040657
"Andruw Jones"	0.0406216
"Jim Thome"	0.0406191
"Juan Gonzalez"	0.0405385
"devil ray"	0.0405222
Palmeiro	0.0402568
"left field"	0.0401503
Skating	0.0401001
))
("batting average" (desc 19858.5) (sims
RBI	0.170355
percentage	0.167238
strikeout	0.163281
average	0.159169
"home run"	0.146774
"seven homers"	0.12926
at-bat	0.126498
batting	0.125584
"four homers"	0.117036
homer	0.114528
"won-lost record"	0.109314
shutout	0.1064
hitting	0.104762
"two homers"	0.0994186
"six homers"	0.0980449
hitter	0.0966182
"five homers"	0.0955931
payroll	0.0944758
era	0.0924578
attendance	0.092366
"three homers"	0.0921422
"eight homers"	0.0921037
streak	0.0900829
triple	0.0867428
inning	0.086677
"earned run"	0.084841
rating	0.0809093
"poverty rate"	0.0805293
career-high	0.0796803
"grand slam"	0.0791633
"one homer"	0.0772486
GAA	0.0765709
"winning streak"	0.0743033
no-hitter	0.0732175
ratio	0.0731681
basemen	0.0729505
"first homer"	0.0728516
"losing streak"	0.0718961
no-decisions	0.0707319
rushing	0.0696935
yardage	0.0687594
"third homer"	0.0674524
pitching	0.0674335
"vacancy rate"	0.0651226
triple-double	0.065104
closers	0.0648737
"fifth homer"	0.0638602
"base hit"	0.0637199
"over .@@@"	0.0627354
"occupancy rate"	0.0625799
ranking	0.0624207
batter	0.0611082
"sacrifice fly"	0.0601315
"Division Series"	0.0599874
majors	0.0592754
"unemployment rate"	0.0591999
catcher	0.0590292
sack	0.0589086
bat	0.0586568
"test score"	0.0584189
third-best	0.0583957
touchdown	0.0579918
overall	0.0579141
"birth rate"	0.0577163
"nine points"	0.0577002
"wild pitch"	0.0571615
fifth	0.057151
"bank rate"	0.0571229
two-out	0.0571069
"second homer"	0.0566631
postseason	0.0565891
"solo homer"	0.0565647
"crime rate"	0.0564136
"three points"	0.0563777
baserunners	0.0563741
GPA	0.0563248
bullpen	0.0557767
"second best"	0.0555289
NL	0.0555187
season-high	0.0555138
"double play"	0.0554798
"Gold Gloves"	0.0551939
error	0.0548169
"body temperature"	0.0545264
birthrate	0.0544444
"power play"	0.0542727
yard	0.0541089
margin	0.0539135
seventh	0.0538724
turnout	0.0537679
"inflation rate"	0.0537636
fewest	0.0537463
"turnover rate"	0.0533375
IQ	0.0532102
fielding	0.0530273
"major league"	0.052573
lineup	0.0524608
"six points"	0.052366
"World Series"	0.0522665
sixth	0.0521507
no-decision	0.0521461
"seven points"	0.0520847
runner	0.0519878
"gas price"	0.0515231
interception	0.0514168
"most valuable player"	0.0512754
eighth	0.0511996
viewership	0.0508801
matchups	0.0505214
shortstop	0.0503057
"perfect game"	0.0502208
stats	0.0501682
playoff	0.0497729
"starting pitcher"	0.0497644
"blood pressure"	0.0496977
longest	0.0496565
"mortgage rate"	0.0495051
"Cy Young Award"	0.0494784
"growth rate"	0.0494692
"mortality rate"	0.0494471
"American League"	0.0494387
"batting order"	0.0494129
MVP	0.0494005
pitcher	0.0493302
"death rate"	0.0489324
"rate of inflation"	0.0487529
"fertility rate"	0.0486589
"dividend yield"	0.0486565
"Straits Times Index"	0.0485982
"National League"	0.048587
RPI	0.048528
doubles	0.0485228
rotation	0.0484022
TDs	0.0481155
"eight points"	0.0480224
outs	0.0480045
caseloads	0.0478688
regular-season	0.047797
pennant	0.0476127
"rate of growth"	0.0474506
output	0.0472699
"voter turnout"	0.0471326
"standard of living"	0.0467937
"noise level"	0.0467658
"Commonwealth Bank"	0.0467444
"cost of living"	0.0465535
"fly ball"	0.0464543
"labor cost"	0.0462339
tally	0.046225
"four points"	0.046094
salary	0.0460026
reliever	0.0459036
grounder	0.0457174
"running game"	0.0456614
double-double	0.0456184
"preferred shares"	0.0454497
reception	0.0452938
"field goal"	0.0452647
"life expectancy"	0.0452153
changeup	0.0451902
"foul ball"	0.0450832
ALCS	0.04502
"water level"	0.0450167
morale	0.0449881
starter	0.0449806
"profit margin"	0.0448225
"Nomar Garciaparra"	0.044748
earnings	0.044591
"heart rate"	0.04446
outing	0.0444172
one-out	0.0442669
ninth	0.0442238
outfielder	0.0441404
Mets	0.0440905
deficit	0.0440687
"FTSE @@@"	0.0440444
grade	0.0440368
second-most	0.0439408
Coulthard	0.0438628
"playoff game"	0.0438477
receiving	0.0438322
ridership	0.0438252
"market share"	0.0436157
"center fielder"	0.0436107
"road game"	0.0434026
comeback	0.0433232
Nikkei	0.043213
"Nikkei Stock Average"	0.0430163
fastball	0.0429922
infield	0.0428873
"production cost"	0.0428253
"futures price"	0.0427868
McGwire	0.0426666
"five points"	0.0426591
Differential	0.042579
al	0.0425253
rookie	0.042349
left-hander	0.0423456
"base runner"	0.0420522
dodger	0.0420021
))
("batting cage" (desc 4625) (sims
"putting green"	0.0897402
clubhouse	0.0678684
cage	0.0654638
gym	0.0612602
bullpen	0.0611475
"operating room"	0.0608407
"voting booth"	0.0604737
dugout	0.0585069
"recording studio"	0.0562169
"batter's box"	0.0554324
flagpole	0.0539294
"press box"	0.0526245
"bomb shelter"	0.0518313
"wine cellar"	0.0506265
"water cooler"	0.0505646
arcade	0.0502316
bleachers	0.0499292
"boxing ring"	0.0494602
"mental institution"	0.0488005
infirmary	0.0486696
"Home Run Derby"	0.0479956
"skating rink"	0.0478493
"driving range"	0.0477978
"baseball game"	0.0476942
"tennis court"	0.0473633
"ice rink"	0.046574
"herb garden"	0.0465727
outfield	0.0460771
"upper deck"	0.0459947
"dressing room"	0.04592
velodrome	0.0452691
"car park"	0.0445256
"Division Series"	0.0443896
"law practice"	0.0439507
"gas line"	0.0435194
locker	0.0434627
kiosk	0.0432059
rink	0.0430922
cafeteria	0.0430823
"parking area"	0.042945
Suwanee	0.0428229
"track meet"	0.0426682
rehab	0.0426144
"Arena League"	0.0422542
"recreational facility"	0.0419033
railing	0.0417973
"sixth grade"	0.0417861
lectern	0.041538
playroom	0.041197
"ball field"	0.0405128
eateries	0.0404619
"fish fry"	0.0403484
"creature comforts"	0.0402854
"Detroit Tigers"	0.0400718
gazebo	0.040059
))
("batting coach" (desc 999.374) (sims
"pitching coach"	0.132753
"Willie Randolph"	0.116788
"batting order"	0.103825
farmhand	0.100043
"left fielder"	0.0971526
"right fielder"	0.0961862
"second baseman"	0.0899386
baserunner	0.0864075
"Rafael Furcal"	0.0859048
"third baseman"	0.0826656
righthander	0.0808192
"Tyler Houston"	0.0803417
slugger	0.0800652
"Jose Hernandez"	0.0798716
"starting pitcher"	0.0775938
"center fielder"	0.0767315
baserunners	0.0765375
"first baseman"	0.0756372
pinch-hitters	0.0750721
"purchase contract"	0.0708657
"relief pitcher"	0.0704873
"base runner"	0.0698747
switch-hitter	0.0692159
"farm team"	0.0687866
"STEVE WOODARD"	0.0670906
southpaw	0.0660858
batboy	0.0646951
homestand	0.0644069
"minor leaguer"	0.0641193
off-balance	0.0637928
"Mark Langston"	0.0631066
"designated hitter"	0.0630657
"Mark Loretta"	0.062902
"traveling salesman"	0.0627706
"Rich Becker"	0.0626402
outhit	0.06208
"Dennis Martinez"	0.0605972
"won-lost record"	0.0596008
"Otis Nixon"	0.0576602
"Scott Karl"	0.0571248
"Chris Gomez"	0.0569825
"Bill Pulsipher"	0.0569676
"Dwight Gooden"	0.0568332
hurler	0.05682
Carlsberg	0.0566913
"Fernando Vina"	0.056635
"Eddie Perez"	0.0565801
"Geoff Jenkins"	0.0561486
"baseball club"	0.0553972
"Ruben Rivera"	0.0535845
"Paul Molitor"	0.0532804
"Kevin McGlinchy"	0.0529644
"Walt Weiss"	0.0528271
"Mark Wohlers"	0.0525101
player-coach	0.0512488
bricklayer	0.0509199
"eye doctor"	0.0509016
ex-Marine	0.0508165
paraplegic	0.0503412
"Terry Mulholland"	0.0499851
"Wally Joyner"	0.0499533
"repertory company"	0.0496765
concertmaster	0.049192
"drama critic"	0.0486974
Intimidator	0.0485918
"altar boy"	0.0484911
internist	0.0484878
"Sterling Hitchcock"	0.0484101
"Jamey Wright"	0.047957
goal-scorer	0.0473524
"professional golfer"	0.0472093
"Joe Girardi"	0.0467878
"Mike Morgan"	0.0462419
"Bob Wickman"	0.046119
"John Burkett"	0.0453623
knuckleballer	0.0453059
season-high	0.0447023
"Kerry Ligtenberg"	0.0446746
baseliner	0.0444934
"electrical engineer"	0.0442276
"Lori McNeil"	0.0432456
"hard worker"	0.0431367
bloomer	0.0427662
"Reggie Sanders"	0.0427456
Kurd	0.0426905
choirboy	0.0426469
paralegal	0.0425298
"Brett Tomko"	0.0425243
Yoda	0.0424543
"Mike Remlinger"	0.0424194
rebounders	0.0421164
"pot roast"	0.0419942
stole	0.0417222
newspaperman	0.0416029
T.J	0.0415504
"Rhodes Scholar"	0.0414364
"Randy Myers"	0.0412504
"hired gun"	0.0412195
"Damian Jackson"	0.0411832
"interior decorator"	0.0409857
organist	0.0408922
rebounder	0.0408773
fielder	0.0406664
lifer	0.0404034
Cpl	0.0403646
craftsman	0.0403252
bookkeeper	0.0402043
"farm boy"	0.0400498
))
("batting order" (desc 4254.84) (sims
lineup	0.130375
rotation	0.125502
"Western Conference"	0.111197
"batting coach"	0.103825
"pitching coach"	0.0925648
"Eastern Conference"	0.0906
bullpen	0.0895833
outfield	0.0868713
NFC	0.0850241
dugout	0.0808436
"pecking order"	0.0795344
"NFC West"	0.0767405
"right fielder"	0.0750049
ACC	0.0745779
"AFC West"	0.0735729
"NFC Central"	0.072451
"AFC East"	0.0724094
"double boiler"	0.0712938
clubhouse	0.0712236
"Central Division"	0.0701752
"starting pitcher"	0.0679082
"Pacific Division"	0.0678823
hierarchy	0.0676545
"National League"	0.0672421
BCS	0.066645
"left fielder"	0.0664209
"third baseman"	0.0663716
"National League East"	0.066346
"first baseman"	0.0663453
"farm team"	0.0645587
"farm club"	0.0644372
"second baseman"	0.0640577
"AFC Central"	0.0629976
"triple play"	0.0626479
"center fielder"	0.0620679
infield	0.0620297
lefthander	0.060878
"American League East"	0.0607514
righthander	0.0606052
homestand	0.0604668
farmhand	0.0579894
"Eastern Division"	0.0576158
fandom	0.0573566
"Big Sky Conference"	0.0572673
"American League West"	0.056068
"Premier League"	0.0552484
baserunner	0.0546745
"base runner"	0.0541005
"Bowl Championship Series"	0.0531808
"Division I-AA"	0.0530845
"NFC East"	0.0529829
"AL West"	0.0528335
Pac-@@	0.0528032
"Northeast Division"	0.0524705
pinch-hitters	0.0524629
NL	0.0523034
reliever	0.0520322
AFC	0.0520095
A.L.	0.0519667
"American League"	0.0516989
shortstop	0.0511868
"Blue Grass"	0.0510762
"National League Central"	0.050994
outfielder	0.0500969
"minor leaguer"	0.0497186
"batting average"	0.0494129
ballclub	0.0492506
"NL Central"	0.0491674
workday	0.0490638
"ball club"	0.0486494
"totem pole"	0.0481711
"NL West"	0.0478861
off-balance	0.0477092
basemen	0.0474011
joist	0.0473131
"Tyler Houston"	0.0465682
"Louisiana Derby"	0.0464979
Serie	0.0461835
"relief pitcher"	0.0461436
"day game"	0.0461188
slugger	0.0460235
"food chain"	0.046018
Ojai	0.04596
history.	0.0457717
"Group B."	0.0454075
infielder	0.0453759
"baseball club"	0.0445087
"Atlantic Division"	0.0445034
"baseball season"	0.0439107
"Belmont Stakes"	0.0438403
"business cycle"	0.0437912
"Big @@"	0.0435658
season-high	0.0434539
"Big East"	0.0427337
line-up	0.0425183
"South End"	0.0424755
"AL East"	0.0424736
"wage scale"	0.0423682
"social structure"	0.0423562
Corp	0.0422326
fielder	0.0421396
season.	0.041953
"designated hitter"	0.0418499
"NL East"	0.0417681
Preakness	0.0416418
"Chris Gomez"	0.0414498
"Gary Graham"	0.0413403
"Group @"	0.0410579
"starting gate"	0.040802
"Atlantic Coast Conference"	0.0406633
"waiting game"	0.0406336
"minor-league team"	0.0405662
"dress uniform"	0.0404348
backfield	0.040183
"John Burkett"	0.0401435
))
(battle (desc 221769) (sims
fight	0.239848
struggle	0.221469
war	0.185313
clash	0.165579
confrontation	0.165018
fighting	0.164289
debate	0.159547
conflict	0.156262
combat	0.150064
dispute	0.14609
showdown	0.141315
feud	0.134297
skirmish	0.130119
contest	0.128158
"civil war"	0.127799
duel	0.124813
campaign	0.12473
rivalry	0.123263
standoff	0.121059
controversy	0.119685
race	0.115409
negotiation	0.114789
warfare	0.107847
attack	0.104851
competition	0.10446
strike	0.102737
protest	0.102104
effort	0.10192
squabble	0.101055
brawl	0.0998302
firefight	0.0995056
argument	0.0994748
shootout	0.0977755
encounter	0.0977294
crisis	0.0973021
violence	0.0970406
offensive	0.0957859
disagreement	0.0953778
quest	0.0953054
discussion	0.094639
tension	0.0941023
challenge	0.0940187
scandal	0.0939568
riot	0.0936567
talk	0.0927007
stalemate	0.0919362
tug-of-war	0.0911274
search	0.0910951
wrangling	0.0907148
case	0.0891514
event	0.0886298
match	0.0883662
relationship	0.0882899
action	0.0871144
demonstration	0.087064
ordeal	0.0868904
raid	0.0868142
assault	0.0863101
lawsuit	0.0860284
election	0.0857866
crusade	0.0851125
quarrel	0.0847712
trial	0.0844557
operation	0.0843046
crackdown	0.0841561
matchup	0.0836993
bout	0.0836805
process	0.0833787
game	0.0831015
disaster	0.0829793
primary	0.082909
tragedy	0.082696
situation	0.0826806
deal	0.0824432
exchange	0.0824415
unrest	0.0820245
problem	0.0816736
politics	0.081565
issue	0.0814256
attempt	0.0805001
incident	0.0799715
investigation	0.0798497
bickering	0.0796259
litigation	0.0796244
difference	0.0794021
rebellion	0.0792498
turmoil	0.0792214
proceeding	0.0791259
rift	0.0787877
strife	0.0787812
series	0.0785985
meeting	0.0784215
bid	0.0781819
trouble	0.0781511
work	0.0781348
vote	0.078056
"price war"	0.0775652
compromise	0.0771715
"senate race"	0.0770604
defeat	0.0770158
tussle	0.0768657
impasse	0.0764227
scuffle	0.0758848
Rally	0.0758784
invasion	0.0758649
fire	0.0757922
revolution	0.0752456
chase	0.075035
life	0.0750271
battleground	0.0748635
victory	0.0748184
rioting	0.0745936
drama	0.0744023
bombing	0.0743516
scramble	0.073852
hostility	0.0736009
drive	0.0735
push	0.0732465
massacre	0.0729366
storm	0.0720061
movement	0.0719877
frenzy	0.0718286
round	0.0714333
chaos	0.0712195
coup	0.0711342
change	0.0710716
agreement	0.0710254
"World War II"	0.0709557
bargaining	0.0708416
"military campaign"	0.0705088
crash	0.0703133
recession	0.0701799
one	0.0699234
experience	0.0699021
move	0.0698053
deadlock	0.0697451
act	0.0695127
uprising	0.0692777
success	0.0692504
hunt	0.0691604
crises	0.0691001
shooting	0.0689643
"labor dispute"	0.0689273
scene	0.0687473
revolt	0.0687437
upheaval	0.0686896
hearing	0.0684175
strategy	0.0683309
history	0.0681905
affair	0.0680978
conversation	0.0680418
bloodshed	0.0679793
accident	0.0678634
exercise	0.06774
activity	0.0676033
"Cold War"	0.0673236
journey	0.0672165
test	0.0669985
matter	0.0669896
campaigning	0.0668075
loss	0.066642
explosion	0.0666289
reform	0.0664489
battlefield	0.0664361
insurgency	0.0664314
decision	0.0663747
celebration	0.0663733
bombardment	0.0659375
trip	0.0659199
criticism	0.0657841
siege	0.0657671
question	0.06574
nightmare	0.0657346
drought	0.0657305
Alliance	0.0656011
development	0.0654369
session	0.0653781
final	0.0652502
Mission	0.0651536
killing	0.0651324
story	0.0648311
force	0.0647977
Saga	0.0647484
spree	0.064718
inquiry	0.0646798
crime	0.0646574
practice	0.0642239
relation	0.0641424
triumph	0.0641405
difficulty	0.0641253
task	0.0640787
split	0.0638562
experiment	0.0636752
"antitrust case"	0.063637
poll	0.0633731
program	0.0633601
playoff	0.063291
boom	0.0632656
melee	0.0632293
career	0.0631636
))
("battle group" (desc 4089.45) (sims
"aircraft carrier"	0.148573
"USS Enterprise"	0.141532
armada	0.131553
warship	0.117103
"surface ship"	0.112643
"naval forces"	0.108439
"artillery unit"	0.106719
battalion	0.102637
"Kitty Hawk"	0.100557
"transport ship"	0.099227
frigate	0.0936868
squadron	0.0935017
"patrol ship"	0.089952
Brigade	0.085929
"military unit"	0.0848404
"task force"	0.0845165
gunboat	0.0834177
Eisenhower	0.0812954
flotilla	0.0806122
"military force"	0.0802444
fighter-bombers	0.0790038
frogmen	0.078672
Regiment	0.078368
Apaches	0.077544
"patrol boat"	0.074056
"Revolutionary Guards"	0.0739555
destroyer	0.073508
"Northern Fleet"	0.0731083
convoy	0.0730831
minesweeper	0.072977
Yorktown	0.0724884
infantry	0.0696598
"Israeli Defense Forces"	0.0689499
UNPREDEP	0.0682645
"work group"	0.0680128
"landing craft"	0.0675942
"Pakistan People's Party"	0.0670466
"Air Lanka"	0.0668649
warplanes	0.0666574
"military police"	0.0660684
paratrooper	0.0660411
IRGC	0.0649219
Varig	0.0647559
contingent	0.0643458
gunship	0.0642302
NATO-led	0.0641931
"United National Independence Party"	0.0640521
UPDF	0.0638977
B-@s	0.06372
paratroops	0.0631319
"Southern Command"	0.0626881
Humvees	0.0621409
ensign	0.0609548
reverser	0.0608887
INTERFET	0.0608655
"National Guard"	0.0608306
detachment	0.0605328
Prowler	0.0601726
"Indonesian Military"	0.0598083
aviator	0.0597824
Admiral	0.0597313
"Dwight D. Eisenhower"	0.0596352
reservist	0.0594791
JAT	0.0590258
UNIFIL	0.0588697
airman	0.0587689
commando	0.0586743
platoon	0.0586684
"search committee"	0.0584575
"National Missile Defense"	0.0582023
"Cathay Pacific Airways"	0.0577873
"enlisted man"	0.0576068
"personnel carrier"	0.0574856
"container ship"	0.0573157
"U.N. Interim Force in Lebanon"	0.0570701
"regular army"	0.0565303
airforce	0.0565237
tomcat	0.056495
shipload	0.0561313
Cruiser	0.0556343
bomber	0.0555926
Hornet	0.055056
F-@@s	0.0549914
"Theodore Roosevelt"	0.0543976
reinforcement	0.0541406
battleship	0.0540535
"military vehicle"	0.053398
JMC	0.0532569
"De Soto"	0.0532307
"army tank"	0.0531806
Garuda	0.0527026
IDF	0.0526828
dinghy	0.0523227
S-@@@	0.0521715
Wahhabis	0.0520771
"Center Party"	0.0519971
peacekeeper	0.0519444
"Implementation Force"	0.0519038
Soldini	0.0514893
endeavour	0.051379
"Federal Open Market Committee"	0.0512775
"fire truck"	0.0511027
F-@@	0.0509949
Iberia	0.0508787
"Randall Simon"	0.0508425
KPA	0.0507177
cavalry	0.050566
planeload	0.0504852
"U.N. Mission"	0.0499129
"moving van"	0.049849
ECOMOG	0.049755
verifiers	0.049447
"United Nations Interim Force in Lebanon"	0.0490499
"passenger ship"	0.0488803
"field hospital"	0.0488689
"supply ship"	0.0487745
"target practice"	0.0484261
"working group"	0.0484133
"People's Liberation Army"	0.0481547
"intelligence operation"	0.0480948
"ethics panel"	0.0480573
"fire fighter"	0.0480272
cortege	0.0479984
"Philadelphia Orchestra"	0.0479914
"New York Harbor"	0.0479586
paramilitary	0.0478609
"Arabian Sea"	0.0475412
"military attache"	0.047398
"military personnel"	0.0473444
lifeboat	0.0472742
"U.S. Air Force"	0.0472257
"small boat"	0.0471489
troops	0.0471289
armymen	0.0470222
diver	0.0468808
Aeroflot	0.0468297
"Sheikh Saad"	0.0468015
motorcade	0.04673
"space walk"	0.0466622
osprey	0.0464208
interceptor	0.0463605
"Stabilization Force"	0.04624
airmen	0.0461334
expedition	0.0460218
Qantas	0.0460182
gendarmerie	0.0459211
PML-N	0.0456784
Briscoe	0.0456382
reversers	0.0456129
"military drill"	0.0455978
infantrymen	0.0455894
fire-fighter	0.0455862
"Cathay Pacific"	0.0455096
cosmonaut	0.045408
"surface-to-air missile"	0.045251
"Northern Alliance"	0.0452328
taskforce	0.0450516
Amal	0.0449323
NMD	0.044803
"highway system"	0.0446573
tanker	0.0446178
"Air Force Reserve"	0.0445307
Aventajado	0.0443303
"Self-Defense Forces"	0.044124
"New Jersey State Police"	0.0440606
"military officer"	0.0439692
Brahimi	0.0439117
submariner	0.0438208
astronaut	0.0437818
consignment	0.0435491
"Infantry Division"	0.0433724
Comair	0.0432011
SFOR	0.0431401
UNFICYP	0.0431128
"test pilot"	0.0430843
"communications satellite"	0.0430243
"nuclear-powered submarine"	0.0428151
Brigadier	0.0427798
medic	0.0425898
"Albanian Kosovo Liberation Army"	0.0425186
"blue angel"	0.0423753
"National Democratic Alliance"	0.0423721
"domestic flight"	0.042342
"first unit"	0.0423257
"air defense"	0.0423032
"intelligence analyst"	0.0420965
caravan	0.0419355
"Moro National Liberation Front"	0.0418776
IFOR	0.0416729
UNAMSIL	0.0416573
"air force officer"	0.0416291
"Liberation Army"	0.0415709
chopper	0.0414235
"Charles de Gaulle"	0.0414131
LRA	0.0413603
"Singapore Airlines"	0.0412573
garrison	0.0412536
"fire engine"	0.041228
NDA	0.0411976
PNP	0.0410233
))
("battle line" (desc 1685.68) (sims
"boundary line"	0.152431
"district line"	0.132835
"dividing line"	0.125808
"demarcation line"	0.112201
brinksmanship	0.0883371
"red line"	0.0872708
"ice crystal"	0.081069
Rubicon	0.0758054
sparring	0.0741398
maneuvering	0.0715811
"fault line"	0.0700867
acrimony	0.0696668
"election district"	0.0691629
putsch	0.0685117
expedient	0.0655606
"battle plan"	0.0619301
frontrunners	0.0618017
"white line"	0.0610129
in-fighting	0.0601092
"Stability Pact"	0.0594128
finger-pointing	0.0589795
enmity	0.0588875
rift	0.0587924
discord	0.0586354
"road map"	0.0572541
dustup	0.0569747
Davidian	0.0552675
rejoinder	0.0548276
pinata	0.0547366
haggling	0.0544246
estrangement	0.0538216
"saber rattling"	0.0537626
schism	0.0537436
contour	0.0534582
snit	0.0533923
tug-of-war	0.0533588
"change of direction"	0.0533504
"pedestrian bridge"	0.0532067
divergence	0.052614
"Passion play"	0.052323
"difference of opinion"	0.0518433
postmortem	0.0515191
JetBlue	0.0511857
rancor	0.0511821
"day of reckoning"	0.0509717
threshhold	0.0509715
Maruyama	0.0506628
yolk	0.0504768
granule	0.0504551
"shower curtain"	0.050427
"compromise plan"	0.0504237
one-upmanship	0.0503303
"political platform"	0.0502566
chasm	0.04976
flak	0.04914
Tanganyika	0.0490779
"mind's eye"	0.0490583
trestle	0.0487741
polarization	0.0486455
contretemps	0.0486128
Blondie	0.0485755
"custody battle"	0.0482916
falling-out	0.0482899
chaff	0.048007
"Green Line"	0.0479674
"Lesotho Congress"	0.0478429
colonias	0.0478219
wrangling	0.0477303
"political program"	0.0477282
"secret plan"	0.0476506
instructions	0.047647
fracas	0.0476349
Shenhua	0.0476242
delineation	0.0474866
horse-trading	0.0473189
Catacosinos	0.0472472
brouhaha	0.0472447
magma	0.0471982
"Free Trade Agreement"	0.0470234
"Potsdamer Platz"	0.0469533
NDA	0.0468473
zloty	0.0464172
Archaeopteryx	0.0463644
"Great Divide"	0.0463408
LoC	0.0461637
"hue and cry"	0.0457943
slugfest	0.0456318
"high wire"	0.0456189
heckling	0.0455211
hang-up	0.0453468
"housing industry"	0.0453041
"mine field"	0.0451111
"atmospheric condition"	0.0450179
"sweet pea"	0.0448125
chessboard	0.0447911
guidepost	0.044657
skittishness	0.0445384
"party line"	0.0444772
"finishing line"	0.0442611
"master plan"	0.0442277
dissension	0.0440351
"expression of regret"	0.0439722
"telephone booth"	0.0437629
bullfight	0.0436766
vitriol	0.0436453
planeloads	0.0432912
"sense of direction"	0.0432012
tiff	0.0431866
indoctrination	0.0431338
"blank check"	0.0431095
"space program"	0.0430665
outperformance	0.0430197
"ill will"	0.0428879
dogfight	0.0428547
template	0.0428343
Chancellor-elect	0.0427941
"U.S. Soccer Federation"	0.0427814
divider	0.0427427
"body of water"	0.042702
heavens	0.0426294
opprobrium	0.0425625
verity	0.042454
time-frame	0.0424417
"pitched battle"	0.0424266
spat	0.0424109
"reorganization plan"	0.042197
fissure	0.0421645
footbridge	0.0421599
back-and-forth	0.0420886
invective	0.0420727
bloodletting	0.0419691
inference	0.0418668
froth	0.0417633
"Field Poll"	0.0417115
"main line"	0.041666
"Virtue Party"	0.0416154
divisiveness	0.0415452
CEC	0.0415151
Alberto	0.0414294
livery	0.0413722
"price war"	0.0413604
Dutchmen	0.0412519
Grbac	0.041226
"Red River"	0.0411271
sunsets	0.0411145
BANDERAS	0.0410799
"air bubble"	0.041033
crossfire	0.0409525
double-teams	0.0408286
flareup	0.0408226
"computer language"	0.040818
"tax advantage"	0.0407961
W-@	0.0407832
diagonal	0.0406437
bends	0.0405992
Rodionov	0.0405431
selloffs	0.0405362
DeVille	0.0404366
"Florida Straits"	0.0403986
gamesmanship	0.0403643
Erez	0.0403056
roadmap	0.0402321
"speed of light"	0.0401421
"record price"	0.0401139
"billion yuan"	0.040078
))
("battle plan" (desc 1360.67) (sims
"secret plan"	0.123857
"contingency plan"	0.101017
"master plan"	0.0915825
"game plan"	0.0840668
"line of products"	0.0787279
stratagem	0.0776432
"compromise plan"	0.0774178
"reorganization plan"	0.0768996
"welcome mat"	0.0713998
"business plan"	0.0700863
"American plan"	0.0698596
"road map"	0.0697517
"electronic database"	0.0687811
"incentive plan"	0.0670478
"plan of action"	0.0640109
"ballpoint pen"	0.0638952
countermeasure	0.0631326
roadmap	0.0630492
"code of conduct"	0.0627521
playlist	0.0620369
"battle line"	0.0619301
PDA	0.0611838
syllabus	0.0609693
"ground attack"	0.0609112
dragnet	0.0603418
pinwheel	0.0602463
"software system"	0.0599429
"military mission"	0.0593147
"point system"	0.0589916
"benefit program"	0.0577757
airstrike	0.0570072
"sugar refinery"	0.0564477
"starting line-up"	0.055871
"legal document"	0.0551456
"Plan Colombia"	0.0551165
"second tour"	0.0550485
"surveillance system"	0.0544613
stinker	0.054378
"ad campaign"	0.0542498
make-over	0.0540967
"ad blitz"	0.0538618
"Marshall Plan"	0.0535422
cultivar	0.0533536
denouncement	0.0529403
"short list"	0.0529142
"political platform"	0.052673
"expansion plan"	0.0524585
"price list"	0.0519278
"marketing campaign"	0.0513615
"battering ram"	0.0512943
"safety valve"	0.0512074
"bond offering"	0.0507664
"travel plan"	0.0505051
"stock trader"	0.0504605
whomever	0.0504125
"early warning system"	0.0501487
"morality play"	0.0497774
"computer language"	0.0496084
"compensation package"	0.049523
"endowment fund"	0.0491737
"side chair"	0.048866
"Kyoto Protocol"	0.0488204
"ground rule"	0.0485071
"living will"	0.0484242
"entitlement program"	0.0483691
putsch	0.0483569
canard	0.0481362
"reading program"	0.0477413
"psychological warfare"	0.047683
"political program"	0.0474983
"frame of reference"	0.0472087
"death warrant"	0.0472035
hypothesis	0.0471135
"organic law"	0.0470214
"rating system"	0.0470036
"pretax charge"	0.0468747
bylaw	0.0468351
"civic duty"	0.0467146
"software package"	0.0467035
Sim	0.0463904
"rule of evidence"	0.0463662
"boarding pass"	0.0463529
edict	0.046089
Measures	0.0460656
"summary judgment"	0.0460459
modality	0.0459688
"big leaguer"	0.0457924
culpa	0.0457314
"laundry detergent"	0.0456337
URL	0.0455701
"golf game"	0.0454382
householder	0.0452715
facelift	0.0452568
"marketing program"	0.0450455
"fellow traveler"	0.0448786
slipup	0.0445331
"standard bearer"	0.044337
"tax bill"	0.0442112
tagline	0.0440095
"target area"	0.0439845
smallness	0.043865
shootaround	0.0438528
fatwa	0.043783
XFL	0.0436911
fibroids	0.0434066
"rule of thumb"	0.0432439
"marketing effort"	0.0427717
BMI	0.0427003
opprobrium	0.0425411
"voting system"	0.0424317
"guardian angel"	0.0424159
"magic bullet"	0.0423683
"designer drug"	0.0422875
registrant	0.0422151
"Parent Trap"	0.0421949
"charge sheet"	0.0421164
"incentive program"	0.0420977
molar	0.0420544
"proxy fight"	0.0420179
strikeforce	0.0420021
DS	0.0420004
"Southern Command"	0.0419649
"chain letter"	0.0419451
"Action Plan"	0.0419307
"piece of furniture"	0.0418672
flamethrower	0.0418271
motherboards	0.0417689
"Les Bleus"	0.0417358
"surgical procedure"	0.0416837
stayaway	0.0414962
Eurobond	0.0414505
refurbishment	0.0411862
"agenda item"	0.041167
"scoring system"	0.0411632
"expression of regret"	0.0410813
"line of work"	0.0410224
"Subway Series"	0.0410206
"weapon system"	0.040797
"Cecil Collins"	0.0407626
kwanza	0.0406957
counteroffer	0.0406907
"weather satellite"	0.0406722
algorithm	0.0404717
Chinese-Indonesians	0.0403153
acupuncturist	0.0403071
suffix	0.0402983
reconfiguration	0.0402523
no-confidence	0.0402401
refusals	0.0401509
"arrest warrant"	0.0400888
"libel suit"	0.0400627
))
(battlefield (desc 29644.2) (sims
battleground	0.0925936
"front line"	0.0794861
combat	0.0699118
battlefront	0.0661291
cemetery	0.0625438
"Omaha Beach"	0.0602349
beach	0.0594803
village	0.0583783
terrain	0.0576939
"flash point"	0.0572096
ruin	0.0559163
"ghost town"	0.0556499
landscape	0.0547858
soil	0.054119
wilderness	0.0532986
scene	0.053242
mountain	0.0529604
farm	0.0526769
wartime	0.0514791
campus	0.0514275
flashpoints	0.0514259
warfare	0.051323
jungle	0.0511381
highway	0.0509041
trench	0.0506935
flashpoint	0.0504628
"civil war"	0.0504594
monument	0.0503028
cave	0.0502558
countryside	0.0500929
"army base"	0.0493557
landmark	0.0493154
"rain forest"	0.0492816
"national park"	0.0489074
"concentration camp"	0.04883
runway	0.0487293
territory	0.0483603
forest	0.0482109
landfill	0.0469478
lake	0.0462406
frontier	0.0461361
ranch	0.0458686
graveyard	0.0457994
theater	0.0451883
ghetto	0.0451578
"basketball court"	0.0450688
Monastery	0.045035
"golf course"	0.0448698
shrine	0.0447744
"ocean floor"	0.0447005
classroom	0.0446846
shore	0.0443782
"Capitol Hill"	0.0441901
desert	0.0439249
continent	0.0437509
fortress	0.0436164
enclave	0.043509
wreckage	0.0433946
barrack	0.0433686
garden	0.0432689
"fault line"	0.0432396
"World War I"	0.0431754
courtroom	0.042903
Grave	0.0427846
relic	0.0423041
racetrack	0.0420613
earth	0.0419657
arena	0.0417762
"amusement park"	0.0416154
"playing field"	0.0412332
swamp	0.0412131
compound	0.0410717
Castle	0.0410171
destination	0.0406784
turf	0.0406505
shoreline	0.0406373
outpost	0.0405569
crossroad	0.0404168
temple	0.0404014
ocean	0.0403722
farmland	0.040342
tomb	0.040328
Capitol	0.0401255
stronghold	0.0401238
mountaintop	0.0401092
))
(battlefront (desc 2159.46) (sims
"flash point"	0.0698608
battlefield	0.0661291
"fault line"	0.0649806
JLG	0.0564401
flashpoints	0.0551138
bloodiest	0.0489913
stanza	0.0485297
"powder keg"	0.0483105
year.	0.0482152
"military position"	0.0481551
quickest	0.04724
postseasons	0.0466177
"big leaguer"	0.0456918
theorem	0.0456548
"Kigoma Region"	0.0449994
"Ryder Cups"	0.044649
"National Mall"	0.0441957
belligerents	0.0431078
TINDERBOX	0.0430777
infantryman	0.0428104
Sino-British	0.0424398
major-leaguers	0.0424275
vestige	0.0415239
flashpoint	0.0407985
"British Opens"	0.040531
flare-up	0.0401749
"Consultative Group"	0.0401279
))
(battleground (desc 18144.1) (sims
"flash point"	0.109014
flashpoint	0.0989375
battlefield	0.0925936
"test case"	0.085728
"turning point"	0.0794137
bellwether	0.0784041
skirmish	0.0733549
"focal point"	0.0732279
hotbed	0.0702398
"stumbling block"	0.0670658
showdown	0.0624739
"rallying cry"	0.0618865
"lightning rod"	0.0614221
pariah	0.0606897
"rallying point"	0.0601482
"financial center"	0.0600562
free-for-all	0.0600292
setback	0.0585538
vote-getters	0.0577144
powerhouse	0.0572087
"breeding ground"	0.056467
breakthrough	0.0561324
"decisive factor"	0.055946
destination	0.0556004
hub	0.0548787
frontrunner	0.0548278
milestone	0.0547894
centerpiece	0.0547859
"dark horse"	0.0545946
kingmaker	0.0542482
adversary	0.0538448
primary	0.0538394
"hot issue"	0.0538357
"fault line"	0.0534012
contender	0.0533315
"driving force"	0.0531114
"Holy Grail"	0.0528378
anachronism	0.0526543
catalyst	0.0521177
martyr	0.0520607
haven	0.0519272
"growth industry"	0.0519162
"supply route"	0.0518308
cog	0.0517318
bastion	0.0515167
salvo	0.0514428
"agenda item"	0.0512985
front-runner	0.0512608
cornerstone	0.0510593
darling	0.0509759
priority	0.0509224
Victor	0.0508773
Mecca	0.0505658
flashpoints	0.0504451
antagonist	0.050407
magnet	0.0503743
moneymaker	0.0501527
"cause celebre"	0.0500639
"whipping boy"	0.0492961
"order of business"	0.0492568
"decision maker"	0.0492025
"national leader"	0.048822
crossroad	0.0487792
microcosm	0.0486283
constituency	0.0486123
attraction	0.048474
obstacle	0.0484688
"standard bearer"	0.0483707
"success story"	0.048155
juncture	0.0481006
watershed	0.0480451
squabble	0.0479578
campaigner	0.0478176
foe	0.0477929
touchstone	0.0477845
beachhead	0.0475718
standard-bearer	0.0473222
"senate race"	0.0470825
crossfire	0.0469493
savior	0.0469187
"trading partner"	0.0469005
arbiter	0.0463983
"staging area"	0.0463603
"upper hand"	0.0461587
tussle	0.0460783
firewall	0.0458684
oddity	0.04582
"long shot"	0.0457247
governorship	0.0457245
"ghost town"	0.0456866
benefactor	0.0455067
confrontation	0.045315
barometer	0.045307
"role model"	0.0451567
"starting point"	0.0449691
superpower	0.0449522
caucus	0.0449043
stronghold	0.0448691
"congressional district"	0.0448161
backwater	0.044633
interlocutor	0.0442962
lifeline	0.0442311
impediment	0.0442074
scapegoat	0.0440936
bloc	0.0440822
hurdle	0.0440199
"social event"	0.0440071
slugfest	0.043865
linchpin	0.0438195
"governor's race"	0.0437648
advocacy	0.0437212
"battle line"	0.0436725
frontier	0.0436639
pillar	0.0436287
icon	0.0434605
plank	0.0431971
conduit	0.0431825
"trump card"	0.0431618
laggard	0.0431535
"first step"	0.0430861
referendum	0.0429382
headway	0.0428374
"cash cow"	0.04283
challenger	0.0427481
catastrophe	0.0426795
proposition	0.0426102
"power broker"	0.042599
"gathering place"	0.0424776
rivalry	0.042298
pawn	0.0421846
"proving ground"	0.0421833
distinction	0.0420608
irritant	0.0420013
ballot	0.0419701
"primary election"	0.0419162
tug-of-war	0.0417902
loser	0.0416521
"point man"	0.0416222
"takeover target"	0.0415051
guarantor	0.0414662
blunder	0.0413398
repository	0.0412066
matchups	0.0411132
staple	0.0411025
flare-up	0.0410674
"dead end"	0.0408668
embarrassment	0.0408528
vindication	0.04073
strategist	0.0407006
warfare	0.0404892
"no man's land"	0.0404092
crusader	0.0403383
precedent	0.0402656
bulwark	0.0402617
showcase	0.0402427
bonanza	0.0402045
duel	0.040125
dilemma	0.0400864
battlefront	0.0400707
))
(battler (desc 1097.3) (sims
bloke	0.100199
bloomer	0.0975016
stinker	0.0876756
goal-scorer	0.0854432
taskmaster	0.083996
"big leaguer"	0.0785553
"altar boy"	0.0780942
provocateur	0.0773739
"NBA All-Star"	0.0748063
gook	0.0747891
hyper	0.0737708
"risk taker"	0.0717932
"chess player"	0.0707358
bruiser	0.0702303
womanizer	0.0698755
first-rounder	0.0695734
"good person"	0.0694693
goalscorer	0.0690624
"draft dodger"	0.0689827
"hard worker"	0.0685712
doer	0.0683257
pro-choice	0.0681498
puncher	0.0676035
egomaniac	0.0675512
"fall guy"	0.0665748
"rich man"	0.0651634
Kurd	0.0650383
"public speaker"	0.064753
schemer	0.0643127
"world traveler"	0.063336
handicapper	0.0624062
balloonist	0.0620832
"Big Unit"	0.0616077
double-teamed	0.0603224
southpaw	0.0602467
non-factor	0.0600975
switch-hitter	0.06002
"farm boy"	0.0598813
curmudgeon	0.0597961
perfectionist	0.0597518
whore	0.0593368
wordsmith	0.0589317
orator	0.0587705
Litigator	0.0577613
"pirate ship"	0.0575898
techie	0.0569789
"battering ram"	0.0568883
Chinese-American	0.0567496
brawler	0.0561201
"important person"	0.056107
choirboy	0.0558841
"character actor"	0.0558203
goofball	0.0557337
humanist	0.055728
dealmaker	0.0555656
hermit	0.0554181
punchline	0.0545867
right-winger	0.0545335
slob	0.0544307
"prima donna"	0.0543944
dilettante	0.0543533
sadist	0.0542809
"knockout punch"	0.0541535
"golden eagle"	0.0541326
atheist	0.0540614
miler	0.0539965
"young person"	0.0538435
plus-@	0.0535946
joker	0.0530691
banger	0.0527439
"professional golfer"	0.0525941
rainmaker	0.0525349
pushover	0.0524883
typist	0.052392
householder	0.0523519
fella	0.051536
weatherman	0.051399
Irishman	0.0513107
lashing	0.0512866
"bon vivant"	0.0512321
"Bengal tiger"	0.0510846
whistle-blower	0.0509311
"test pilot"	0.0509217
resistence	0.0508791
"house guest"	0.0508131
antsy	0.0507074
raconteur	0.050647
"tough guy"	0.0506437
Bumblebee	0.050596
outta	0.0503618
pro-life	0.0502806
Houdini	0.0500703
queer	0.0500028
wacko	0.0498264
student-athlete	0.0497352
procrastinator	0.0496999
grinder	0.0495472
"TV star"	0.0494208
tarpon	0.0491839
overachiever	0.0491328
anti-Semite	0.0490147
"child molester"	0.0489356
rebounders	0.0487812
foal	0.0485957
Scotsman	0.0485347
"throwing away"	0.0484224
"transport ship"	0.0479597
talker	0.0479221
heretic	0.0478173
segregationist	0.0477702
Archaeopteryx	0.0476466
leech	0.0476319
hillbilly	0.0476145
"pain in the neck"	0.0475732
debater	0.0475697
paraplegic	0.0473779
"trump card"	0.0473597
capo	0.0473414
loner	0.046925
pacifist	0.0469124
pup	0.0468725
newspaperman	0.0466682
"wise guy"	0.0464479
"community organizer"	0.0460905
hothead	0.0460085
"married man"	0.0459978
tactician	0.0459732
slipup	0.0457977
denier	0.0457746
mailman	0.0457693
"center of attention"	0.045749
baserunner	0.0456748
"police captain"	0.0455693
Pol	0.0455216
Trailblazer	0.0454233
cannonball	0.0453956
portraitist	0.0450392
"black person"	0.045035
bunny	0.0449073
digger	0.0448221
prizefighter	0.0447976
"private eye"	0.0447541
firebrand	0.0447387
"space walk"	0.0447151
wonk	0.0446778
"track star"	0.0445549
porthole	0.0445378
picky	0.0444616
"black sheep"	0.0444422
beater	0.0443176
sparkler	0.0440507
upperclassmen	0.0440268
redneck	0.0439709
Hick	0.0437539
perjurer	0.043685
"foreign service officer"	0.0435984
"white knight"	0.0434844
stuntman	0.0434304
antagonist	0.0434135
snob	0.0432469
tomboy	0.0432432
chaser	0.0432127
racehorse	0.0430685
"first pitcher"	0.0430469
hypocrite	0.0430427
brat	0.0429652
"two match points"	0.0429624
Irishmen	0.0429307
match-ups	0.0428778
Orbiter	0.0428261
antihero	0.0427572
"spark plug"	0.0427154
back.	0.042707
"traveling salesman"	0.0426298
moron	0.0424366
bigot	0.0424226
Juninho	0.0424107
"second person"	0.0422339
malcontent	0.0422079
wimp	0.0421001
Midwesterner	0.0420788
"free spirit"	0.0419759
Intimidator	0.0419737
"base runner"	0.0418938
reseller	0.0418511
"white person"	0.0417815
"Hail Mary"	0.0417357
workhorse	0.0417226
schoolboy	0.0417165
"parking ticket"	0.0417036
"jigsaw puzzle"	0.0416611
"private detective"	0.0415932
"motor scooter"	0.0415118
Sportsman	0.0414917
"tool kit"	0.0413493
"good Samaritan"	0.0413115
opportunist	0.0412089
aficionado	0.0410756
cross-dresser	0.0410391
boob	0.0409332
))
(battleship (desc 5532.32) (sims
"attack submarine"	0.126598
warship	0.126525
"aircraft carrier"	0.112102
easterain	0.0961912
"surface ship"	0.0939446
destroyer	0.0928645
submarine	0.0920226
"torpedo boat"	0.0917293
northerain	0.0886248
westerain	0.0863718
"transport ship"	0.0853655
frigate	0.0848981
tugboat	0.0838313
"ocean liner"	0.0836806
Cruiser	0.0829463
icebreaker	0.080073
ferryboat	0.079548
"pirate ship"	0.0770428
"luxury liner"	0.0765702
"cargo vessel"	0.075955
"merchant ship"	0.074949
"USS Enterprise"	0.0747069
"container ship"	0.0741083
"passenger ship"	0.0720539
"patrol boat"	0.0712152
vessel	0.070471
freighter	0.0695154
"cargo ship"	0.0694895
minesweeper	0.0691349
southerain	0.0691004
gunboat	0.0656949
torpedo	0.0656588
barge	0.064107
"small boat"	0.0638499
sub	0.0634589
"rocket launcher"	0.0634122
Kursk	0.0630014
yacht	0.0618782
"Tyrannosaurus rex"	0.0599525
sailboat	0.0598449
catamaran	0.0594168
"pleasure boat"	0.058353
"cruise ship"	0.0581426
"oil tanker"	0.0580458
"fishing boat"	0.0577486
cannon	0.0564344
"landing craft"	0.0561648
hovercraft	0.0557816
warplanes	0.0553041
trawler	0.0551691
submersible	0.0551645
speedboat	0.054797
fighter-bombers	0.0546753
"supply ship"	0.0544692
"battle group"	0.0540535
bomber	0.0529417
"nuclear-powered submarine"	0.0518783
"particle accelerator"	0.0513347
spaceship	0.0510452
"flying saucer"	0.0509414
SAT.	0.0508384
corvette	0.0505175
"trial balloon"	0.050512
"sailing vessel"	0.0503203
tanker	0.0497654
"No. @s"	0.0495609
"sailing ship"	0.048245
Titanic	0.0481632
"pipe bomb"	0.0476769
"atomic bomb"	0.047624
armada	0.0468329
Pillars	0.0463814
"space capsule"	0.0463276
howitzer	0.0462284
"Andrea Gail"	0.0460811
"railroad car"	0.0460146
B-@@	0.0460017
dinghy	0.0458845
sloop	0.0448394
"board game"	0.0447854
quarterfinalists	0.0442441
"eight kilometers"	0.0439679
"radio telescope"	0.0437535
Dutchmen	0.043746
"patrol ship"	0.043364
"spy satellite"	0.0433392
"steam engine"	0.0431454
B-@s	0.0430112
"American plane"	0.0428555
airship	0.042854
"Science City"	0.0427914
X.	0.0425533
Britannia	0.042549
metropolises	0.0424919
A@@@s	0.0424643
"gas plant"	0.0419539
"naval forces"	0.0419321
"Baby Bells"	0.0419216
driftwood	0.0418145
whaler	0.0415714
"entitlement program"	0.041543
"dinner plate"	0.0412613
Hindenburg	0.0411597
"ballpoint pen"	0.0409124
warplane	0.0407217
canoe	0.04068
Concordes	0.0406571
riverboats	0.040437
skydiver	0.0402699
))
(bauble (desc 1929.15) (sims
"nose ring"	0.092037
trinket	0.0815561
pendant	0.0757612
chalice	0.073758
Sari	0.0619128
knickknack	0.060339
shawl	0.0602706
rhinestone	0.0602483
earring	0.059864
"two fingers"	0.0592942
necklace	0.0576707
accouterment	0.0576506
sequin	0.0568472
cladding	0.0560968
medallion	0.0548814
metalwork	0.0544184
slipper	0.0541483
paperweight	0.0534048
sidelight	0.0533835
"life preserver"	0.052692
figurine	0.0508334
wristwatch	0.0507079
threads	0.0488285
filigree	0.0487909
"benefit program"	0.0480284
garnet	0.0475045
"media property"	0.047055
"precious stone"	0.0468021
"belt buckle"	0.0461736
blinker	0.0446324
embellishment	0.0445501
bleep	0.0441263
eyeshadow	0.0437213
tinsel	0.0437046
cutout	0.0435308
"mink coat"	0.0433349
sprinkles	0.0432246
powerboat	0.0429752
bracelet	0.0425639
Amber	0.0425097
plaything	0.0421546
"precious metal"	0.0418792
Tables	0.0414924
getup	0.0411996
Picassos	0.0410935
"light bulb"	0.040995
brassiere	0.0409752
adornment	0.0409731
"hunting knife"	0.0408508
beads	0.0408128
amulet	0.0405906
bellbottoms	0.0405777
arrowhead	0.0404587
barrette	0.0401343
"white flag"	0.0400784
tidbit	0.0400119
))
(Baucus (desc 1239.26) (sims
Lautenberg	0.219851
Hollings	0.196611
Biden	0.193843
Robb	0.170769
Feingold	0.165953
Dodd	0.16367
Cleland	0.160649
Markey	0.150321
Bayh	0.141802
Demaci	0.138057
Giacchetto	0.131183
Moynihan	0.129497
Wellstone	0.126316
Daschle	0.122556
Yazdi	0.121172
Harkin	0.121013
Nickerson	0.120535
Kyl	0.117509
Hamid	0.115213
SHUSTER	0.115113
Caddell	0.113715
Leahy	0.113617
Izetbegovic	0.113603
Breaux	0.10904
"Russell Peeler"	0.10804
Neulander	0.107002
Hayworth	0.106747
"Perez Balladares"	0.106654
Harris-Lewis	0.10609
Naumann	0.105741
Murkowski	0.105727
Espinoza	0.10545
Callaghan	0.105243
Lowey	0.103515
Siegelman	0.103265
Torricelli	0.101817
Bakaly	0.101408
Garcetti	0.10114
Napolitano	0.100732
Flanagan	0.0991234
Westendorp	0.098757
Pangalos	0.0979515
Mikhailov	0.0974825
Gorton	0.097164
Nikitin	0.0971408
Aventajado	0.0964853
Borodin	0.0961449
Warshaw	0.0960342
McCollum	0.0958
Hutchinson	0.0953143
Mokhehle	0.0944486
Blackthorne	0.094089
Barshefsky	0.0939896
Aliev	0.0932337
Hynes	0.0931368
Waigel	0.0914775
Moakley	0.0914146
Dokmanovic	0.0914052
Riggs	0.0912341
Bryan	0.0910658
Seleznyov	0.0906929
Dingell	0.0906702
Byrd	0.0903905
"de Charette"	0.0902104
Morgenthau	0.0901645
Kasoulides	0.0899206
Kennard	0.089677
Baumhammers	0.0888435
Advani	0.0887074
Lockyer	0.0886745
Walser	0.0884237
Espy	0.088399
Carollo	0.0879279
Kagalovsky	0.0877776
lockbox	0.087755
Hutchison	0.0870263
Abdel-Meguid	0.0865862
Rossello	0.0863937
Rangel	0.0862976
Bove	0.0859918
Masire	0.0858242
Elhage	0.0849791
Weizman	0.0848928
Khalil	0.0844301
Kesri	0.0842677
Ikeda	0.0841822
Neeman	0.0841786
Conrad	0.0839657
"Max Baucus"	0.0836981
Kulikov	0.0836857
Hayden	0.0836726
Jeffords	0.083653
"Al Fayed"	0.0835954
Verney	0.0834135
Haouari	0.0833905
CAA	0.08335
Ashcroft	0.083096
Demjanjuk	0.082733
McHugh	0.0826766
Doggett	0.0821004
Beazley	0.0819097
Kornberg	0.0814356
Spitzer	0.081414
Teresi	0.0813811
Wyden	0.0811868
"De Klerk"	0.0810603
Feinstein	0.0809831
Koskinen	0.0808393
SEABROOK	0.0807799
Dorgan	0.0807608
Vasquez	0.0807
Guei	0.0806661
Husseini	0.0806332
Barr	0.0804829
Duisenberg	0.0802914
Beathard	0.0800633
Kiareldeen	0.0800354
Kerry	0.0799495
NRC	0.0798408
Reimer	0.0797972
Fieger	0.079775
Kerasiotes	0.0797449
Ciampi	0.0797059
Kurtz	0.0792281
Stossel	0.0791769
Klestil	0.0790203
Winkler	0.0787255
Hirschfeld	0.078706
Carnahan	0.078657
Yosef	0.0785293
Pearce	0.0782697
Tarrin	0.0781617
LaPierre	0.0780913
McCurry	0.07808
Lott	0.0779096
Swango	0.0777855
Druckenmiller	0.0776374
"Israeli Foreign Ministry"	0.0776364
Trischitta	0.0775355
Meissner	0.0774055
Nemtsov	0.0773528
McCaffrey	0.0773129
Yoo	0.0768702
Bisek	0.076846
Conroy	0.0765705
Sutiyoso	0.0764315
Mudge	0.0763741
Rogan	0.0762818
Schumer	0.0762205
Rendell	0.0762179
McKeon	0.0761594
Boesak	0.0761486
Drabinsky	0.0761328
Kurth	0.0759675
Verniero	0.0758104
Ghani	0.0757195
Hyde	0.0752687
Cianci	0.0751805
Schippers	0.0751352
Xiang	0.0750572
"Australian Cricket Board"	0.0749221
Kwasniewski	0.0748335
Zuma	0.0747295
spokespeople	0.0746652
Zucker	0.074499
Levitt	0.0743606
Yadav	0.0741202
Bowen	0.0740438
Ingraham	0.0739938
Mattysse	0.0735442
Shinn	0.0735351
Rideau	0.0735294
Whitacre	0.0734785
Farber	0.0733918
Ntakirutimana	0.0733812
Duvalier	0.0732838
"Don Siegelman"	0.0729895
Meehan	0.0729357
Chavalit	0.0728928
Postol	0.0728287
Abernathy	0.0727291
Waxman	0.0726677
Finkel	0.0724485
Caruso	0.07244
Levin	0.0724224
Gowda	0.0723706
Zacarias	0.0722579
Pustovoitenko	0.0721412
Nebiolo	0.072083
Quackenbush	0.0720203
Kerrey	0.0720101
Mohajerani	0.0719176
Protas	0.0718654
Berri	0.0718252
"Bill Lockyer"	0.0716232
Fortier	0.0712491
Soares	0.071235
Klerk	0.0711388
Britton	0.0710301
Brinkley	0.071012
))
(Bauer (desc 13193.9) (sims
"Gary Bauer"	0.234733
Keyes	0.193302
Quayle	0.189403
Forbes	0.182916
"Alan Keyes"	0.178867
DOLE	0.163124
Buchanan	0.16265
"Steve Forbes"	0.147527
McCain	0.146321
Kasich	0.141919
Nader	0.140305
Bradley	0.138537
"Elizabeth Dole"	0.138031
"Pat Buchanan"	0.134286
Mauro	0.1331
"Lamar Alexander"	0.128219
Alexander	0.126052
Giuliani	0.125395
Bush	0.123165
Gramm	0.122744
Ashcroft	0.121978
Lott	0.121906
hatch	0.120881
Perot	0.11499
Gephardt	0.114793
"John Kasich"	0.114706
"John McCain"	0.114394
"Orrin Hatch"	0.113749
gore	0.113162
Vallone	0.112465
Lieberman	0.110769
"Bill Bradley"	0.108519
Torricelli	0.10848
D'Amato	0.106141
Kerrey	0.106103
Pataki	0.105838
Harshbarger	0.105721
Schumer	0.104779
Corzine	0.102905
Helms	0.102877
Cellucci	0.102335
Hagelin	0.102316
Florio	0.100545
Carnahan	0.1001
Spitzer	0.0999202
"George W. Bush"	0.0998999
"Patrick Buchanan"	0.0985938
"Dan Quayle"	0.0984943
Barr	0.0982601
"Ross Perot"	0.0970922
Labastida	0.0969181
Lungren	0.0962702
Taft	0.0962359
Ammiano	0.096067
McConnell	0.0950367
Lazio	0.0947892
McCaffrey	0.0943987
Engler	0.0936375
McCall	0.093463
Hastert	0.0931311
Cuomo	0.0927776
Hyde	0.092653
"Bob Dole"	0.0926467
Fulani	0.0912519
Kerry	0.0901396
"Democrat Bill Bradley"	0.0898816
Feingold	0.0898565
Daschle	0.0898196
Blatter	0.0897289
"Ralph Nader"	0.0897117
Whitman	0.0891959
Riordan	0.088947
Sharpton	0.0888059
Molinari	0.0886995
Draskovic	0.0882414
Ventura	0.0881
trump	0.0879175
Zedillo	0.0879037
Vacco	0.0868817
"Bob Smith"	0.0867205
Moynihan	0.0863388
McCurry	0.0862192
Rais	0.0861664
Cheney	0.0861412
senator	0.0859873
Ferraro	0.0854479
Greenspan	0.0847202
"Hillary Rodham Clinton"	0.0846453
Estrada	0.0845985
Robertson	0.0841623
McGovern	0.0837424
Leahy	0.0835655
Blair	0.0835506
Reilly	0.0831155
Rubin	0.0825225
"Al Gore"	0.0821382
Lockhart	0.0817367
Hoffa	0.0816756
Berger	0.0816031
Brownback	0.081393
"vice president"	0.0811565
Luzhkov	0.0809176
Toledo	0.0808222
Sharansky	0.0801239
Cardenas	0.0790415
Schroeder	0.0789627
Richardson	0.0788596
Rowland	0.0787406
Ecevit	0.078693
Rugova	0.0784927
Mordechai	0.0783913
Cohen	0.0783819
Madrazo	0.0781938
Quackenbush	0.0781805
Gregg	0.0781193
Barak	0.0780192
Kemp	0.0779532
Armey	0.077013
MacKay	0.0764399
Menem	0.0763043
"Patrick J. Buchanan"	0.0762308
"George Bush"	0.0759392
Daley	0.0759288
Putin	0.0758846
Khatami	0.0758793
Barnes	0.0757796
Prewitt	0.075702
Gingrich	0.0756554
Blumenthal	0.0755937
Bishara	0.0753905
Archer	0.075307
Haider	0.0752665
Babbitt	0.0752553
Carey	0.0751627
Mugabe	0.0748063
Kennard	0.074731
Sezer	0.0747011
Chirac	0.0745299
Eizenstat	0.0743405
"George Pataki"	0.0743225
Primakov	0.0742381
Weizman	0.074097
Chavez	0.0740244
Craig	0.0739961
R-Utah	0.0737986
FALWELL	0.0736169
Waxman	0.0734798
Caddell	0.073357
Goldin	0.0732138
Reagan	0.0731916
Kostunica	0.073121
"Ahmed Tibi"	0.0730456
"David Bar-Illan"	0.073006
"John Paul"	0.0729632
"labor leader"	0.072934
Powell	0.0729212
Rossello	0.0728793
Mayor	0.0728361
Safir	0.0727449
franks	0.0726884
Netanyahu	0.0726489
Beatty	0.0725217
Cardoso	0.0724017
Kiriyenko	0.0722885
Siegelman	0.0722884
Levin	0.0722095
Governor	0.0721431
O'Connor	0.0721301
Chen	0.0720677
Cornyn	0.0719353
Feinstein	0.0718245
Fassel	0.0717981
Hess	0.0717492
Gilmore	0.0717103
"Hillary Clinton"	0.0716976
Fong	0.0716974
Barshefsky	0.0716835
Alarcon	0.0715679
Shalala	0.071463
Gorton	0.0713424
Kennelly	0.0712364
LANIER	0.0711437
"Jesse Jackson"	0.0711378
"Rick Lazio"	0.0710318
Fischer	0.0709123
Kolbe	0.0707302
Fieger	0.0706174
Diouf	0.0703691
Rafsanjani	0.0703678
Ramos	0.0701002
Nicholson	0.0700794
"Sam Rainsy"	0.0700341
"Jane Hull"	0.0698825
weld	0.0698419
Livingston	0.0697495
"Democrat Al Gore"	0.0697102
Yeltsin	0.0696278
"John Engler"	0.0695551
"Al Sharpton"	0.069494
Azizah	0.0694723
))
(Baugh (desc 674.713) (sims
Swenson	0.142247
Guthridge	0.129154
Darnell	0.123729
Wolfson	0.12082
Parrott	0.11794
Marinovich	0.115609
Plante	0.11434
Groening	0.11322
Vogel	0.112681
Rudenstine	0.112409
Britton	0.112155
Moakley	0.111186
Halberstam	0.109892
Galindo	0.106607
Hensley	0.10626
Pryor	0.106066
Boller	0.10581
Zadornov	0.1057
Chappell	0.104599
Laudrup	0.103686
Jobe	0.103143
Verniero	0.103052
Halloran	0.101666
Edelstein	0.100996
Valenti	0.100083
Bratton	0.0994896
Stillman	0.0980652
Sato	0.0973513
Gooding	0.0972919
Ikeda	0.097091
Aventajado	0.0969684
Dungy	0.096767
Ulrich	0.0967076
Karolyi	0.0965758
Barrie	0.0962777
Dunleavy	0.0958536
Bizimungu	0.0955622
Spielman	0.0952435
Ono	0.09508
Rongen	0.0950678
Slocum	0.0944332
Felton	0.0942981
hodgson	0.0941579
Henning	0.0941556
Guralnick	0.0926897
DERSHOWITZ	0.0925571
Rowan	0.0921569
Lafleur	0.0918222
Butterworth	0.091679
Gorter	0.091609
Samuelson	0.0915776
Cleese	0.0914145
Downey	0.0911788
Galvin	0.0909773
Summitt	0.0908543
Snead	0.0907556
Grossman	0.0905407
Betts	0.0904013
Andreychuk	0.090154
Henley	0.090075
Holley	0.0900446
Bodine	0.0898559
Wagoner	0.0895028
Lamont	0.0895003
lute	0.0893359
GAGE	0.0892719
Weldon	0.0892578
Sherrill	0.0892475
Verney	0.0888411
Harrell	0.0888198
Soyinka	0.0886795
Kuhn	0.0885359
Horne	0.0884682
Bustamante	0.0883816
Delahunt	0.0880983
Brosnan	0.0879584
Cremins	0.0875251
Ftorek	0.0874143
Krugman	0.0872487
Figgis	0.0871248
Winkler	0.0867112
Cartwright	0.086688
Hayworth	0.0866164
Brazill	0.086585
Mullen	0.0862929
Boesak	0.0862582
Polian	0.0862483
Whitsitt	0.0862146
Kyprianou	0.0861228
Gilligan	0.0860942
Flanagan	0.0860782
Wexler	0.0857779
Ainge	0.0856766
Trepagnier	0.0853177
Inman	0.0852376
Machado	0.0852289
Solich	0.085151
Merritt	0.084798
Fulmer	0.0845603
Moser	0.084381
Soderbergh	0.0842725
Burrell	0.0840041
Pennington	0.0838567
Rais	0.0837411
Kyl	0.0836588
Singson	0.0835669
Skiles	0.0834045
Spellman	0.0833442
Parris	0.0832766
Lockyer	0.0831079
Mellencamp	0.0829754
Lowery	0.0826638
Henson	0.0826055
Briscoe	0.0825588
Allard	0.0825391
Solis	0.0825167
Cooley	0.0824328
Affleck	0.0823757
LeBlanc	0.0823169
Hiddink	0.0823058
Orr	0.0822047
"La Russa"	0.0821801
Oppenheimer	0.0821456
Jolie	0.0819881
McGregor	0.0818344
Schmitt	0.0815716
Schuerholz	0.0815337
Chouinard	0.0814957
Dion	0.0813822
Auerbach	0.0811893
"Van Raaphorst"	0.081077
Sobel	0.0809643
McCurry	0.0808802
Kuehne	0.0807856
Crocker	0.0805404
Hoch	0.0805399
Siazon	0.0803377
Auriemma	0.0802633
Ebersol	0.0802037
Azizah	0.0800584
Daigle	0.0799927
McCown	0.0799035
Harman	0.0798357
Nkomo	0.0797291
Rossotti	0.0796109
Metcalf	0.0794735
Hadley	0.0794493
Diouf	0.0792374
Brenner	0.0791718
Canady	0.0791359
Outzen	0.0791209
Karmazin	0.0790749
Margolis	0.0790731
Dilfer	0.0789267
Yarnall	0.0787921
Fuente	0.0786687
Turetzky	0.0786039
Kelleher	0.0785732
Harmoko	0.0785677
Belo	0.0784194
Giordano	0.0783036
Grasso	0.0782336
Stoneman	0.0781701
Antley	0.0781532
Pearce	0.0781084
Hobson	0.0779887
Braswell	0.0779079
Donnelly	0.0778117
Simons	0.0777869
Blume	0.0777636
Heche	0.0777502
Khalil	0.0774434
Rove	0.0773389
Pederson	0.0773176
Perec	0.0773143
Caray	0.0771156
ISSEL	0.0771083
Insulza	0.0771079
Borbon	0.0768753
Yastrzhembsky	0.0768663
Yazdi	0.0768642
Hamlin	0.0768611
Jorgensen	0.0768147
Manley	0.0766834
Schell	0.0766449
Clooney	0.0765938
Sheehan	0.0765886
Lampkin	0.076196
Pruett	0.0761187
Brantley	0.0757063
Larson	0.0756498
Jeffers	0.0755275
DiCarlo	0.0755177
Cota	0.0754421
Vance	0.0754059
McCombs	0.0752342
Loroupe	0.0752
Shula	0.0751964
Nemtsov	0.0751951
Durant	0.0751708
))
(Bauhaus (desc 1956.26) (sims
Deco	0.109708
"Art Nouveau"	0.0944891
"beaux arts"	0.0931983
minimalist	0.0925531
"Greek Revival"	0.0841736
"Queen Anne"	0.0826926
revivalist	0.0824222
retro	0.0788312
"art deco"	0.0740796
Scientology	0.0694972
"Special Olympics"	0.066862
Stroganoff	0.0664859
Lucite	0.0649546
late-'@@s	0.0648652
med	0.062086
Ottoman	0.0610542
glam	0.0609051
"Empire State"	0.0605693
yeshiva	0.0603921
gliding	0.0598883
COUTURE	0.0595611
surrealist	0.0589952
"New South"	0.0582871
craftsman	0.0573673
quilting	0.05706
Brasserie	0.056685
polytechnic	0.0564521
"Turkish Republic"	0.0563303
"physical education"	0.0559525
"Operation Rescue"	0.055227
Reichstag	0.0549448
"Old World"	0.0543754
bebop	0.054198
Krishna	0.0541759
Impressionist	0.0536267
gothic	0.0531784
Centerfold	0.0528247
defining	0.052556
karate	0.0521934
"Mormon Church"	0.0520781
"European Bank for Reconstruction"	0.0520748
shaker	0.0511469
"Whitney Museum"	0.0511426
Zen	0.0510096
Hasidic	0.0509217
"steam engine"	0.0508884
collaborative	0.0506518
Lego	0.0505299
Taoism	0.0505174
"martial art"	0.0503357
"German capital"	0.0501457
expressionism	0.0499775
"liberal arts"	0.0499441
ironwork	0.0498426
"St. Albans"	0.0497926
hippie	0.049591
"Martha Graham"	0.0495484
take-no-prisoners	0.0493581
Chautauqua	0.0491714
martial-arts	0.0489366
grunge	0.0489035
Germanic	0.0487823
dada	0.0487455
similiar	0.0485581
pinup	0.0482632
"native American"	0.0482477
"Orthodox Jewish"	0.0479492
anything-goes	0.0479322
Ikea	0.0479023
"Promise Keepers"	0.0478867
CSE	0.0476514
"cast iron"	0.047618
"old school"	0.047613
SCLC	0.0471583
Olmsted	0.0469775
"Ivy League"	0.046951
"show biz"	0.0465532
Transamerica	0.0463788
Confucianism	0.0462524
no-frills	0.0462448
Flemish	0.0461829
Blondie	0.0461776
elitist	0.0460776
"Information Ministry"	0.0460424
"Young Turk"	0.0459306
Khmer	0.0458643
highschool	0.0458043
Marxist	0.0457921
bare-bones	0.0457215
Stormont	0.0456718
"avant garde"	0.0456559
Webcam	0.0455253
ITC	0.0454109
realist	0.0454086
"New York Yacht Club"	0.045381
"cutting edge"	0.0452972
flamenco	0.0451147
heartening	0.0450551
"adult education"	0.0449779
curvy	0.0449309
"Livent Inc."	0.0447054
"matinee idol"	0.044591
Motown	0.0444419
late-@@@@s	0.0444215
"American Indian"	0.0441346
"Earth Day"	0.0439585
"Simon Wiesenthal Center"	0.0439397
down-and-out	0.0437339
Meier	0.0436698
"African American"	0.0431728
mariachi	0.043138
"laissez faire"	0.0429477
Buddhism	0.0427349
counterculture	0.0426295
cartoonish	0.0426108
thuggish	0.0425845
Wicca	0.0424726
regency	0.0421739
"ground level"	0.0421497
shui	0.0419539
CRT	0.0419537
Islamist	0.041943
Afro-Cuban	0.0419205
snowboard	0.0417151
menswear	0.0417029
"DreamWorks SKG"	0.0416887
pre-@@@@	0.0416683
Amway	0.0414932
"Independence Party"	0.0410544
southpaw	0.0410116
x@@	0.0409358
"Lotus Development Corp."	0.0408605
metalwork	0.0406805
septuagenarian	0.0405675
racehorse	0.0405004
"old country"	0.0404562
glitzy	0.0404188
"Muslim Brotherhood"	0.0403495
"Ming Dynasty"	0.0401528
Breton	0.0400895
Brentwood	0.0400733
"Standard Oil"	0.0400645
))
(bauhinia (desc 1616.56) (sims
Lotus	0.111443
swastika	0.103099
peony	0.0993011
tricolor	0.0845462
bougainvillea	0.0761902
"small white"	0.0725218
shamrock	0.0724611
emblem	0.0715821
led	0.0709711
"national flag"	0.0657109
amaryllis	0.0652428
"Union Jack"	0.0651146
"Star of David"	0.0650721
chrysanthemum	0.0627467
"neutron bomb"	0.0615461
Olmsted	0.0609236
origami	0.0607759
crocus	0.0602941
"royal blue"	0.0592645
Magnolia	0.0590837
azalea	0.0582522
"Blue Dog"	0.0581772
"Bengal tiger"	0.0574401
tulip	0.057148
poppy	0.0568942
dogwood	0.0566247
wilting	0.0552919
tabletop	0.0546275
camellia	0.0544243
KKK	0.0539
"olive branch"	0.0535097
marigold	0.0533883
tablecloth	0.0532232
pansy	0.0524224
"clenched fist"	0.0522378
Ronstadt	0.0520604
lily	0.0514903
Z@@	0.0507139
Deco	0.0505481
hibiscus	0.0504436
"Mickey mouse"	0.0496378
teacup	0.0495169
hydrangea	0.0487062
"dark red"	0.0478649
Wisteria	0.0478316
expansionist	0.0476189
"thermonuclear warhead"	0.0475945
"swing music"	0.0470828
"Big Bird"	0.0468296
Stinson	0.0467236
"piece of cloth"	0.0467151
"integrated circuit"	0.0465522
"spider web"	0.046323
blob	0.0459518
"coat of arms"	0.0454798
gardenia	0.0453896
impatiens	0.0452259
Maltese	0.0448542
gerbil	0.0447013
"gambling casino"	0.044521
"wedding dress"	0.0444593
minstrel	0.044429
"Rob Thomas"	0.0443672
Girard	0.0438921
one-inch	0.043765
Miyake	0.0435863
Schiffer	0.043565
double-decker	0.043453
graph	0.0433742
"cast of characters"	0.0431772
Gehry	0.0431717
jasmine	0.0429888
"Ray Romano"	0.042861
"David Spade"	0.042714
pompom	0.0422591
canna	0.0421956
papier-mache	0.0421685
typeface	0.0419963
"space age"	0.0418559
Breton	0.0417245
Ava	0.0417035
"Erik Morales"	0.0414774
Bess	0.0414507
"Chevrolet Monte Carlo"	0.0412203
Yucca	0.0412132
gouache	0.0411466
Tuttle	0.0411168
"animal skin"	0.0408628
Margolis	0.0408486
"king salmon"	0.0407806
pictorial	0.0405934
toenail	0.0404734
Schultz	0.0404515
"Confederate flag"	0.0404226
UPC	0.0403352
splotch	0.0401642
handkerchief	0.0401304
Gardiner	0.0400068
))
(Baum (desc 1238.45) (sims
Harr	0.138783
Sheehy	0.126316
Cleary	0.124185
Hahn	0.122829
Schaeffer	0.122144
Rivlin	0.120209
Menchu	0.118612
Meissner	0.117466
Abram	0.115954
Garber	0.113262
Hickman	0.112973
Hess	0.112544
Vogel	0.110958
Muller	0.108668
Yoon	0.108437
Sobel	0.108337
Mucha	0.107227
Hecht	0.106723
Larson	0.10661
Betts	0.106007
Ashrawi	0.105079
Weil	0.10463
Cline	0.104421
Gilman	0.103406
Weiner	0.102991
Mehta	0.102556
Molinari	0.102491
Hanna	0.10247
Northup	0.102361
Jaffe	0.100704
Copeland	0.100283
Berenson	0.0999092
Salinger	0.0998308
Adler	0.0994872
Britton	0.0994343
Greenwald	0.0983409
Zuckerman	0.0981164
Waxman	0.0979502
Morley	0.0977141
Manheim	0.0975446
Shapiro	0.0975005
Rosenberg	0.0970673
Ackerman	0.0969066
COYNE	0.0967902
Tilberis	0.0961797
Kurth	0.0960793
Schell	0.0946975
Gillespie	0.0937304
bock	0.093626
Farley	0.093553
Engelberg	0.0934514
Berman	0.0932418
Rowling	0.0928355
Strauss-Kahn	0.0927732
Fiorina	0.092557
Nasrin	0.0923185
Rothenberg	0.0920811
Pape	0.0920057
Lockwood	0.0918123
Huffington	0.0917567
Segal	0.0914735
McPherson	0.0910954
Pierson	0.0909841
Mahoney	0.0907812
Donohue	0.0906644
Hartley	0.0903186
pressman	0.0900373
Maynard	0.0896927
O'Hara	0.0896676
Lerner	0.0896455
Markovic	0.0891278
Nicholson	0.0888358
Mullen	0.0887432
Shriver	0.088394
Hanley	0.0883774
Brazile	0.0880703
Woodard	0.0880267
Piot	0.0875202
Donnelly	0.0874965
Swenson	0.0874019
Lowry	0.0872953
Orton	0.0872238
Healy	0.0868871
Nickerson	0.0867611
Albrecht	0.086603
Rosenthal	0.0865306
Schwartz	0.0863792
Sommer	0.0863462
McCurry	0.0861638
Fink	0.0860264
Kirkpatrick	0.0859471
Webdale	0.0858956
McCartney	0.0854784
McIntyre	0.0854241
Wolff	0.0854071
Freedman	0.0852952
Gauthier	0.0852617
Schafer	0.0849917
Barad	0.0845517
Duffy	0.0842066
Bushnell	0.0840552
Byrne	0.0835747
Loeb	0.0834033
Weis	0.0833477
Echols	0.0833265
Bingham	0.0832463
Jeffers	0.0831153
Haines	0.0830893
Rollins	0.0830807
Grimes	0.0827801
Garofalo	0.0827216
Narayanan	0.0824555
Hamlin	0.0824279
Bergeron	0.082375
Lipstadt	0.0821121
Tuttle	0.0820456
Puzo	0.0816418
Hauser	0.0816128
Nilsson	0.0815569
Wolfson	0.081346
beamer	0.0810523
DeFrantz	0.0810521
Rosen	0.0810263
Carmichael	0.0809505
Bronson	0.0807081
O'Connell	0.080702
Ibarra	0.080491
Wiggins	0.0804873
Lehane	0.0803453
Mortimer	0.0800869
Shulman	0.0799006
Moakley	0.0796928
Binion	0.0795346
Szabo	0.0794414
Kerouac	0.0794131
Kagalovsky	0.0793662
Lau	0.0792199
Trevi	0.0791897
Cohn	0.0791656
Simons	0.0788347
Craxi	0.0787893
Rubinstein	0.078555
Suarez	0.0784411
Michaels	0.0784062
Canty	0.0783769
Holzman	0.0782249
Deneuve	0.0781884
Jayakumar	0.0781003
Shamshad	0.0780418
Solis	0.0779956
Wasserstein	0.0778894
Rupert	0.0778746
Deutsch	0.0778637
Farber	0.0777343
Kaye	0.0776939
Hybl	0.0776476
Feldman	0.077584
Kurtz	0.0775699
Passarella	0.0774317
Gutman	0.0773689
Henning	0.0773358
Rowley	0.0773268
Jovanovic	0.0773171
Postol	0.0772278
Muckler	0.077187
Farrell	0.0770415
Saleh	0.0767026
Flanagan	0.0766573
Macdonald	0.0764984
Mei	0.0763697
Dickinson	0.0763357
Gaffney	0.0763053
Elliot	0.0762548
Hyman	0.0762255
Fleischer	0.0761089
Colbert	0.0759958
Stahl	0.0759715
Midler	0.0758546
Gallagher	0.0756956
Doyle	0.0756189
Tomlin	0.0755983
Isikoff	0.0754821
Xue	0.0754253
Finkel	0.0754127
Haynes	0.0754106
Barrett	0.0752515
Ebersol	0.0751962
Cao	0.0751839
Mckee	0.0750822
Halberstam	0.074715
Daniels	0.0746878
Friedman	0.0746816
Rutherford	0.0745098
Silverstein	0.0744536
Doherty	0.074447
burrows	0.0743558
Drexler	0.0742092
Garvey	0.0742068
Slatkin	0.0741363
Tarawneh	0.0739704
))
(Baumann (desc 941.612) (sims
Jayasinghe	0.207994
Pippig	0.201513
Slaney	0.169241
Ottey	0.164501
Fredericks	0.141232
Sotomayor	0.139445
Christie	0.13329
Sautin	0.130386
"Linford Christie"	0.127324
Tanui	0.126219
"De Bruin"	0.123323
"Randy Barnes"	0.121193
"Mary Slaney"	0.112457
Marinovich	0.112328
Jewell	0.110421
"Elena Berezhnaya"	0.108562
Godina	0.107541
"Merlene Ottey"	0.106442
Jett	0.103698
Klim	0.102304
Hofer	0.101953
Lindland	0.0998336
Mikhailov	0.0995916
Kagalovsky	0.0994751
Priebke	0.0955429
Boldon	0.0945678
Zuelle	0.0943007
Schott	0.0920185
Korda	0.0918615
Oliveira	0.0913653
ITF	0.0906557
Callaghan	0.0906484
"El Guerrouj"	0.0904952
Joklik	0.0901765
"Earnhardt Jr."	0.0901504
"Mark Richardson"	0.0899285
"Regina Jacobs"	0.0897507
"Jearl Miles-Clark"	0.0889855
Seizinger	0.0886006
Xiong	0.0880242
Alcorn	0.087856
"Frankie Fredericks"	0.0861279
"C.J Hunter"	0.0860254
"Answer Lively"	0.0857452
Protas	0.0851426
Devers	0.0842154
Beckenbauer	0.0842107
Villeneuve	0.0837039
Horne	0.0832615
Szabo	0.0826145
McWilliams	0.0821135
Drabinsky	0.0819774
Goossen	0.0816661
Kessler	0.081444
Roba	0.0809982
"Svetlana Masterkova"	0.080429
Unser	0.0802805
Upton	0.0795938
McDermott	0.0790295
Walesa	0.0788538
Diouf	0.0786976
Napolitano	0.0786241
Limon	0.078121
Naumann	0.0776811
Maradona	0.0775343
Spector	0.0774845
Shayler	0.0774695
Schwarz	0.0773516
Harris-Lewis	0.0773398
Grimsley	0.076633
Tomba	0.0762346
Sheppard	0.0761161
"Ben Johnson"	0.0757828
Alioto	0.0752967
"Deborah Compagnoni"	0.0750352
Ebersol	0.0750195
"Mike Espy"	0.0747956
Valenzuela	0.0747723
"Javier Sotomayor"	0.0745949
Nanula	0.074478
Holl	0.074295
"Di Canio"	0.0741471
"Brooke Bennett"	0.0741244
Ershad	0.0740916
Roussel	0.0739335
Virenque	0.0738314
Bruguera	0.0737956
Jacobson	0.0737831
Meggett	0.0735955
Carollo	0.0734918
McGinn	0.0734742
"Li Xuemei"	0.0733923
Hiett	0.0732386
"Paul Tergat"	0.0731416
Aamodt	0.073103
Westendorp	0.0729671
Kazhegeldin	0.0729185
Heyns	0.0729165
Leedham	0.0725188
Kipketer	0.0723905
Maldini	0.0721728
Wendt	0.072056
Demjanjuk	0.0717787
Fuhrman	0.0716591
"Fatuma Roba"	0.0716517
Vogel	0.0713773
Wiggins	0.0713217
"Michelle Smith"	0.0711058
Hybl	0.0710467
Lett	0.0709626
Choate	0.070613
"Fu Mingxia"	0.0704395
Izetbegovic	0.0703217
Leuchter	0.0701287
Talebi	0.0700116
Bedell	0.0699893
Meguid	0.0698124
Rosset	0.069773
Kurth	0.0695664
Coia	0.0695314
Khalil	0.0694818
"Maria Mutola"	0.0694242
Luyendyk	0.0693477
"Wang Yan"	0.0692127
Gebrselassie	0.0691959
Penders	0.0691067
"Tom Steels"	0.0690677
Surin	0.0688394
"Chris Boardman"	0.0687483
Pantani	0.0686954
Boardman	0.0686504
Eappens	0.0686018
"Olympic Committee"	0.0685366
Lipinski	0.0684094
"Wu Yanyan"	0.0683633
Bakaly	0.0682003
Huber	0.0681614
"Alexei Urmanov"	0.0680548
McGreevey	0.0679132
Berlusconi	0.0678168
Gosper	0.0677825
"Consumer Product Safety Commission"	0.0674694
Gantamirov	0.0673445
Dunleavy	0.0673222
"Elvis Stojko"	0.0673022
Zuma	0.0671693
Rodionov	0.0670393
"Susanthika Jayasinghe"	0.0667119
RIAA	0.0665591
McSorley	0.0664774
"Greg Foster"	0.0663993
Camacho	0.0663537
Jager	0.0663007
Echols	0.0660857
Dolan	0.065723
Kamal	0.0657191
Hartsburg	0.0656117
Arens	0.0654574
"Samantha Riley"	0.0654439
Katzenberg	0.0653227
Schering	0.0650771
"Liu Limin"	0.064932
Tran	0.064931
Loroupe	0.0647881
Popov	0.0647426
"Hiroyasu Shimizu"	0.0645975
Hersh	0.0645185
"Ato Boldon"	0.0644317
SEABROOK	0.0643639
Ruthardt	0.0642447
"Doug Walker"	0.0641574
Thayer	0.064077
Doohan	0.0640057
Sumaye	0.0639945
Kasoulides	0.0638896
Sanchez-Vicario	0.0638764
"De Klerk"	0.0634551
Rossi	0.0634249
Inkster	0.0634137
Janzen	0.0633487
"Sandra Voelker"	0.0633253
"Wang Yifu"	0.0632043
"Lasse Kjus"	0.0632021
Zanardi	0.063013
Jacobs	0.0629997
Williamson	0.0628889
Weah	0.0626398
Malik	0.0625254
Kwasniewski	0.0623197
"Gail Devers"	0.0622381
Murrell	0.0622169
"Alexis Herman"	0.0621858
Rollins	0.0621013
"Erick Barkley"	0.0620725
"HANK KUEHNE"	0.0620569
Hartwig	0.0618136
Wilhelm	0.0617932
Winn	0.0617521
"Archbishop Desmond Tutu"	0.0617393
Whitaker	0.0617072
))
(Baumhammers (desc 711.202) (sims
Brazill	0.19295
Hoke	0.183858
Laudor	0.182826
"Russell Peeler"	0.179302
Gauthe	0.177542
"El Hage"	0.17396
Stayner	0.173949
Hage	0.169739
Swango	0.161665
Weston	0.161273
Hensley	0.16098
Lileikis	0.14907
Soliah	0.148996
Nikitin	0.148284
Karr	0.145056
"Michael Skakel"	0.144553
Merlino	0.144288
furrow	0.143055
"Maturino Resendez"	0.140683
Ashbrook	0.140136
Giacchetto	0.139428
Haouari	0.138707
Neulander	0.138339
Elhage	0.137048
Sweeting	0.136238
Hiett	0.135953
Kiareldeen	0.13425
Blackthorne	0.13284
Lundy	0.131955
Mease	0.131595
Palczynski	0.129448
Shayler	0.127836
Ghani	0.126801
Meskini	0.126634
Kehoe	0.125825
Jenoff	0.125453
Kimeses	0.125453
Ntakirutimana	0.12525
"Maturino Resendiz"	0.125203
Bove	0.121081
Papon	0.118453
Krstic	0.115995
Al-Amin	0.11481
"Cary Stayner"	0.113617
Valenzuela	0.113596
Kaczynski	0.113346
Kodikian	0.112307
Kalejs	0.112221
Figueroa	0.111047
Berenson	0.11087
Manbar	0.110665
Matasareanu	0.10987
Lacresha	0.109382
Levesque	0.109102
Ramseys	0.108158
Natale	0.107582
Dokmanovic	0.107499
Brownlee	0.107346
Kovacevic	0.107068
Faget	0.106814
Berle	0.10644
Chmura	0.106213
Carruth	0.106115
Garofalo	0.105488
Collymore	0.105293
Carneal	0.105067
Priebke	0.104751
Goldstein	0.104458
Fagan	0.104294
Sakic	0.103919
Kazhegeldin	0.103389
Paciello	0.103193
Sarsour	0.10299
Gritz	0.102892
Khalil	0.102733
Sebaggala	0.102374
Haney	0.102152
Mikhailov	0.10148
ARI	0.101457
peeler	0.101142
Gannon	0.100675
McMellon	0.100195
Mehmet	0.100152
Shipman	0.0996964
Ntuyahaga	0.0995987
Maag	0.0995804
looper	0.0993246
Einhorn	0.0991547
Robison	0.0991357
Skakel	0.0989313
Hinckley	0.0989204
"Ray Lewis"	0.0989165
Odeh	0.0988463
Lazarenko	0.09875
Martorano	0.0984807
Falater	0.0971553
"robbery suspect"	0.0970508
Lawler	0.096931
Ng	0.0969021
Babitsky	0.0965384
Mitnick	0.0955357
Ankiel	0.0954562
Bedell	0.0947772
Salemme	0.0947399
Trevi	0.0946775
Trischitta	0.0937448
Agca	0.0936586
Kurtz	0.0933583
Egan	0.0933234
Musa	0.0931406
Gravano	0.0929176
Jelisic	0.0928819
Vasquez	0.0927515
"Martin Frankel"	0.0925428
Francois	0.0925163
Kagalovsky	0.0924049
Berkowitz	0.0923549
Sheinbein	0.0919122
Wiese	0.0919034
"Louise Woodward"	0.0918944
Barrow	0.0918441
Fassett	0.0918113
Imperatori	0.0916181
Romanowski	0.0915461
Whitacre	0.0912873
Kopp	0.091163
McWilliams	0.0910533
"Abu Nidal"	0.0908393
Noriega	0.0905829
Hamid	0.0905432
Callaghan	0.0902503
Frankel	0.0902071
Mladic	0.0900411
Maharaj	0.0896723
Sang	0.0890881
Wilkerson	0.0890798
Bishara	0.088996
Baucus	0.0888435
Oswald	0.0888228
Mims	0.0887687
Mattysse	0.0887049
Warshaw	0.0886311
nance	0.0880146
Barton	0.0879276
"Sang Lan"	0.087577
Nathaniel	0.087506
Nkabinde	0.0873971
"Marianne Gingrich"	0.0871354
Resendez-Ramirez	0.0869888
Eappens	0.0867452
Shulman	0.0865101
Klebold	0.0860456
Jewell	0.0859143
Nasrin	0.0856116
Nunez	0.0855794
assailant	0.0855317
Akayesu	0.0851931
"Rafael Resendez-Ramirez"	0.0849303
McGraw	0.084511
"Dylan Klebold"	0.0842967
Siripongs	0.0834794
Grossberg	0.0833887
Ochoa	0.0831768
Lugo	0.0831094
ex-convict	0.0830172
Markhasev	0.0829447
Druckenmiller	0.0827321
Meston	0.0825772
Kimes	0.0822305
Noe	0.0821709
Hofer	0.0820658
Zarkin	0.0820026
Phelan	0.0818411
Tarver	0.0815639
"Lee Harvey Oswald"	0.0814723
Lombardi	0.0814529
Neville	0.0814346
Gotti	0.081367
Winkler	0.0808603
O'Hara	0.0807573
Bakaly	0.0807243
Roberson	0.0807167
"Dinko Sakic"	0.0806437
Pape	0.0804886
Mohamed	0.0802106
Arizmendi	0.0798655
Norberg	0.0796473
Ressam	0.0795043
"police sergeant"	0.0794476
Abernathy	0.079395
Mcbride	0.079393
Salim	0.079297
al-Megrahi	0.0791533
"Theodore Kaczynski"	0.0789986
Kaunda	0.078976
Ingraham	0.0789588
Soto	0.0787784
Padilla	0.0786987
Demjanjuk	0.0786516
Tomlinson	0.0786428
))
("Bausch &AMP; Lomb" (desc 1164.6) (sims
WPP	0.212355
Emulex	0.171931
NiSource	0.170994
Litton	0.17051
Genzyme	0.166713
"Sara Lee"	0.161704
"Phelps Dodge"	0.158966
"Bank of Scotland"	0.158875
"Dayton Hudson"	0.154299
RJR	0.154156
"True North"	0.150694
ENTERGY	0.144065
Diageo	0.143388
Tenneco	0.142868
"Berkshire Hathaway"	0.140464
"Royal Bank"	0.140388
REPSOL	0.138475
"Thermo Electron"	0.138282
ALZA	0.138163
"Gap Inc."	0.137111
"Times Co."	0.136626
ENTREMED	0.136428
Warnaco	0.134513
"P&AMP;G"	0.133873
AMR	0.133661
"National Grid"	0.132758
Alcoa	0.131205
BCE	0.130852
"J&AMP;J"	0.129466
SkyTel	0.128906
Qwest	0.128629
Omnicom	0.128613
"Global Crossing"	0.128563
DrKoop.com	0.127727
"Federated Department Stores"	0.126118
"American Home"	0.126028
Seagram	0.125875
AstraZeneca	0.125559
Totalfina	0.125357
McKesson	0.124841
Alcan	0.124366
Ciena	0.124218
Vodafone	0.124052
"Network Associates"	0.123914
FPL	0.123049
EMC	0.122795
NORTHROP	0.122792
Corel	0.122595
Eurotunnel	0.122575
NatWest	0.1225
VENATOR	0.122241
Healtheon/WebMD	0.121824
Nabisco	0.121304
Viag	0.121274
"MCI WorldCom"	0.121266
Terra	0.1208
"Banque Nationale"	0.120668
Zapata	0.120139
Corning	0.119923
"Learning Co."	0.119684
"Reed Elsevier"	0.119273
SmithKline	0.119219
"BP Amoco"	0.118839
"Pacific Century"	0.11839
"Viacom Inc."	0.118361
Fingerhut	0.118152
TELLABS	0.117734
"Times Mirror"	0.116533
Unilever	0.115934
Viacom	0.115681
NTL	0.114653
Hasbro	0.114484
Federated	0.114424
Glaxo	0.114012
CMGI	0.113827
UAL	0.113366
Chiron	0.113007
"U.S. Trust"	0.112713
"Seagram Co."	0.111773
Pfizer	0.111768
Telefonica	0.11171
SBC	0.111469
"RJR Nabisco"	0.111175
Georgia-Pacific	0.109644
Olivetti	0.109298
Clorox	0.108936
Healtheon	0.108014
Monsanto	0.107978
Honeywell	0.10795
MiniMed	0.107807
Penney	0.107542
GEC	0.107507
Cendant	0.107502
Bestfoods	0.106966
AutoNation	0.106867
COLTEC	0.106852
Heinz	0.106765
"Canal Plus"	0.106698
KPN	0.106589
Genentech	0.106287
Aetna	0.106267
Mattel	0.106026
"Waste Management"	0.105631
CCE	0.105318
"Deutsche Telekom"	0.105314
Hoechst	0.105256
"Air Canada"	0.105189
TYCO	0.104972
"Cox Communications"	0.10474
E-LOAN	0.104275
"Dow Jones &AMP; Co."	0.104134
Asarco	0.104083
"Allied Signal"	0.104006
Sunbeam	0.103611
"Total Fina"	0.102013
VEBA	0.101981
Northpoint	0.101948
"Levi Strauss &AMP; Co."	0.101858
"Niagara Mohawk"	0.101822
Vivendi	0.101659
"Cendant Corp."	0.101502
"Knight Ridder"	0.101361
Loral	0.101182
Inktomi	0.101161
GTE	0.101028
Checkfree	0.10094
"Union Carbide"	0.100605
"Volkswagen AG"	0.100559
WorldCom	0.100196
Mannesmann	0.100075
Starwood	0.0998184
"American Home Products"	0.0996045
BSKyB	0.099448
Sibneft	0.0987983
Scientific-Atlanta	0.0984479
Schlumberger	0.0984206
"Rite Aid"	0.0980144
Norwest	0.0977611
Pharmacia	0.0971565
"Boston Scientific"	0.0971539
"News Corp."	0.0971536
"Mattel Inc."	0.0970508
VICKERS	0.0970004
"Atlantic Richfield"	0.096708
Lucent	0.0966932
Pepsico	0.0965113
Asda	0.0959799
om	0.0956767
Dupont	0.0950656
Humana	0.0948629
Amgen	0.094682
"UAL Corp."	0.0945818
Cisco	0.0945637
"New York Times Co."	0.0935825
SAirGroup	0.093509
Arnault	0.0928275
Kodak	0.0928233
GANNETT	0.0928201
BellSouth	0.0926533
Infoseek	0.092633
Raytheon	0.0923195
Aegon	0.0921424
Safeway	0.0919699
"CBS Corp."	0.0917827
Halliburton	0.0917221
IAI	0.0916336
"KCP&AMP;L"	0.091521
"Silicon Graphics"	0.0913611
"Volvo AB"	0.0912683
Nortel	0.0911776
"AMR Corp."	0.0911259
"Y&AMP;R"	0.0907071
"National Semiconductor"	0.0901992
sandpiper	0.0901461
PLN	0.0895174
"International Paper"	0.0892534
AMP	0.0891548
Renault	0.0888889
BankAmerica	0.0886058
Daimler-Benz	0.0885059
Pearson	0.0883675
"Bristol-Myers Squibb"	0.0882195
Chevron	0.0877191
Goodyear	0.0875292
"Monsanto Co."	0.0873442
"CMGI Inc."	0.0871991
Maytag	0.0868451
"Computer Associates"	0.0868099
EarthLink	0.0867822
Gillette	0.0863828
Webvan	0.0862917
UBS	0.0861725
TDB	0.0861232
WCC	0.0855172
Akamai	0.0854175
CDnow	0.0853363
Enron	0.0853041
Hilton	0.0852321
Rhone-Poulenc	0.085191
"Hughes Electronics Corp."	0.0851047
))
(Bautista (desc 950.205) (sims
Fullmer	0.316582
Vidro	0.300191
Lieberthal	0.256593
Cirillo	0.251812
Randa	0.240716
Rolen	0.239468
Burnitz	0.23485
Spiers	0.219957
"Mark Loretta"	0.212518
Beltran	0.207454
Alicea	0.201173
"Matt Lawton"	0.19817
"Chris Widger"	0.194517
"Damian Miller"	0.193393
Sexson	0.190423
"Scott Spiezio"	0.189
Abreu	0.188119
Frye	0.183337
"Eric Owens"	0.181201
"Mark Kotsay"	0.181092
"Geoff Jenkins"	0.17664
"Carlos Lee"	0.175304
"Cristian Guzman"	0.174815
DeShields	0.173274
"Preston Wilson"	0.168572
Vizquel	0.168139
Bordick	0.167319
Higginson	0.16573
"Matt Franco"	0.16295
"Orlando Palmeiro"	0.162775
Lankford	0.162504
"Tim Bogar"	0.162337
"Benny Agbayani"	0.16203
Saenz	0.161945
"Eric Chavez"	0.161782
Aurilia	0.161105
"John Vander Wal"	0.16094
"Dmitri Young"	0.159293
"Mike Lieberthal"	0.158742
Batista	0.15865
"Herbert Perry"	0.158324
"Rondell White"	0.157455
"Tony Eusebio"	0.157388
Nevin	0.155683
"Deivi Cruz"	0.155446
Ordonez	0.155402
Bergeron	0.155387
McLemore	0.154991
"Joe McEwing"	0.153054
"Neifi Perez"	0.152897
"Ray Durham"	0.152893
"Bengie Molina"	0.152138
"Sandy Alomar"	0.152074
"Damian Jackson"	0.152059
"Marvin Benard"	0.152041
"Jose Vidro"	0.1519
"Derrek Lee"	0.15036
"Ray Lankford"	0.149995
Tatis	0.149815
Womack	0.149157
"Vladimir Guerrero"	0.148599
"Cliff Floyd"	0.148565
"Doug Glanville"	0.147982
"Miguel Cairo"	0.147787
"Bruce Aven"	0.14777
Fryman	0.147532
Biggio	0.146418
"Randy Velarde"	0.144614
Palmeiro	0.144536
"Lee Stevens"	0.144137
McGriff	0.144098
"Brian McRae"	0.143932
"Pat Meares"	0.143645
"Ron Coomer"	0.143631
Catalanotto	0.143534
"Brent Mayne"	0.143172
Velarde	0.142852
"Einar Diaz"	0.142474
Varitek	0.141716
"Luis Alicea"	0.14142
"J.T Snow"	0.141312
"Pat Burrell"	0.140876
Delgado	0.139999
"Bill Mueller"	0.139457
Glaus	0.138857
"Marquis Grissom"	0.138738
Olerud	0.138662
"Jose Valentin"	0.138595
Hidalgo	0.138265
Stinnett	0.137757
"Tony Womack"	0.137449
Alfonzo	0.137131
Baerga	0.136993
"Richard Hidalgo"	0.136872
"Kelly Stinnett"	0.136714
Kapler	0.13648
"Jason Kendall"	0.136191
Hollins	0.136054
"Bobby Abreu"	0.135991
"Dave Hansen"	0.135989
Veras	0.135851
Konerko	0.135506
"Adam Kennedy"	0.135498
Ruehe	0.135043
"Craig Counsell"	0.134704
"Jeff Bagwell"	0.134677
"Luis Castillo"	0.134329
Lawton	0.134091
"Pokey Reese"	0.133885
"Kevin Jordan"	0.133478
"Luis Sojo"	0.133391
"Dante Bichette"	0.13321
"Fred McGriff"	0.132778
"Scott Rolen"	0.132449
Guillen	0.132308
"Jeff Kent"	0.132164
Greer	0.132116
"Bobby Higginson"	0.132018
"Luis Gonzalez"	0.131989
"Kevin Young"	0.131853
"Ricky Gutierrez"	0.131423
Valentin	0.131345
Brogna	0.130831
Buhner	0.130765
"Keith Lockhart"	0.130651
"David Ortiz"	0.130516
"Warren Morris"	0.130349
"Ron Gant"	0.130138
"Ozzie Guillen"	0.129983
Winn	0.129957
"Ruben Rivera"	0.12964
Erstad	0.129604
"Dave Martinez"	0.128863
Agbayani	0.128609
"Russ Johnson"	0.128579
"Miguel Tejada"	0.128557
"Bill Spiers"	0.128548
"Fernando Vina"	0.128425
Tejada	0.128223
"Mickey Morandini"	0.128123
"Jose Hernandez"	0.127765
"Quinton McCracken"	0.127561
Kasoulides	0.127407
Giambi	0.127402
Sprague	0.126859
"Jermaine Dye"	0.126794
"Rich Aurilia"	0.126748
"Robin Ventura"	0.126628
Karros	0.12638
"Joe Randa"	0.126374
"Dean Palmer"	0.126351
Jayakumar	0.126221
"Wally Joyner"	0.125643
"Jeff Cirillo"	0.125612
"Johnny Damon"	0.125279
"Mike Lansing"	0.125063
"Harold Baines"	0.125009
Molina	0.124604
Grudzielanek	0.124543
Burks	0.124534
"Danny Bautista"	0.124217
"Jeff Conine"	0.124177
Dunston	0.124126
"Mike Benjamin"	0.123885
"Mike Sweeney"	0.12365
"Paul Bako"	0.123307
"Tony Batista"	0.123087
"Todd Walker"	0.122638
"Derek Bell"	0.122153
Easley	0.122135
"Corey Koskie"	0.12206
Mueller	0.121802
Daubach	0.121618
Lofton	0.121552
"Ben Grieve"	0.121297
"Troy Glaus"	0.120664
Bragg	0.120473
"Melvin Mora"	0.120194
"Mike Lamb"	0.120194
"Travis Lee"	0.119834
Segui	0.11967
"Javy Lopez"	0.118997
"Mike Cameron"	0.118982
Boueiz	0.1186
"Tom Goodwin"	0.118598
"Jose Guillen"	0.118418
"Jeromy Burnitz"	0.118394
Gutierrez	0.117856
"Garret Anderson"	0.11744
"Alex Gonzalez"	0.117097
"Stan Javier"	0.116891
Lampkin	0.11688
Burrell	0.116719
Singson	0.116577
Knoblauch	0.116166
Cabrera	0.116155
"Manny Alexander"	0.115934
"Eddie Taubensee"	0.115738
"Matt Walbeck"	0.115585
Glanville	0.115149
"Brian Giles"	0.115111
"Jay Bell"	0.114975
"Darin Erstad"	0.114846
"Matt Williams"	0.114304
"Kenny Lofton"	0.113896
"Brad Ausmus"	0.113758
"John Mabry"	0.113735
"Carlos Beltran"	0.113236
"Devon White"	0.11307
Meguid	0.112377
"David Segui"	0.112336
Eusebio	0.111776
Gaynor	0.111721
"Mark McLemore"	0.111648
"Mike Lowell"	0.111589
Boone	0.111557
"Jim Thome"	0.111433
"Enrique Wilson"	0.111398
"Will Clark"	0.111319
"Matt Stairs"	0.111194
"Phil Nevin"	0.111146
"Scott Brosius"	0.110934
"Erubiel Durazo"	0.110753
"Rey Sanchez"	0.110457
"Juan Encarnacion"	0.109409
"David Bell"	0.109308
"Sean Casey"	0.109223
"Jason Varitek"	0.108798
Cedeno	0.10879
"Craig Biggio"	0.108522
Guzman	0.108496
"Darren Lewis"	0.108392
"Jay Payton"	0.108246
Klesko	0.108216
"Gabe Kapler"	0.108209
Zeile	0.108165
"Royce Clayton"	0.108054
Dellucci	0.108037
"Mark Grace"	0.107827
Castilla	0.107763
"Barry Larkin"	0.107648
Cui	0.107557
"Chad Kreuter"	0.107388
Cora	0.10737
"Jeffrey Hammonds"	0.10735
"Darren Bragg"	0.107327
Sumaye	0.107276
"Ivan Rodriguez"	0.107162
"John Olerud"	0.107126
Offerman	0.107102
Guterres	0.106822
"B.J Surhoff"	0.106215
DiSarcina	0.106211
"Walt Weiss"	0.106143
"Andruw Jones"	0.106104
"Marty Cordova"	0.106009
Ripken	0.105882
Meares	0.105671
"John Valentin"	0.10544
"Tim Salmon"	0.105125
"Roberto Alomar"	0.104883
"Bernard Gilkey"	0.104838
"Gerald Williams"	0.104736
McCarty	0.104592
Bruton	0.104558
"Todd Pratt"	0.104515
"Reggie Sanders"	0.104309
Beltre	0.104243
Yastrzhembsky	0.10423
Caminiti	0.103924
"Edgar Renteria"	0.103797
"Tony Graffanino"	0.103769
"Chris Gomez"	0.10334
Alou	0.103232
Goodwin	0.102949
"Charlie Hayes"	0.102647
"Chili Davis"	0.102302
"Edgardo Alfonzo"	0.102056
"Henry Rodriguez"	0.102039
Ledee	0.10195
Bagwell	0.101465
"Eric Karros"	0.101345
Ramirez	0.101293
Sheffield	0.101043
"Ricky Ledee"	0.101002
Mora	0.100988
Ochoa	0.100973
"Brady Anderson"	0.100001
))
(bauxite (desc 2240.98) (sims
"iron ore"	0.243163
chromium	0.183625
tungsten	0.173372
Zinc	0.170661
Copper	0.169341
"precious stone"	0.168754
manganese	0.162622
platinum	0.155245
cobalt	0.148923
"rare earth"	0.148555
Coal	0.143688
vermiculite	0.143471
Nickel	0.141278
ore	0.136548
POTASH	0.135996
phosphate	0.132568
Boron	0.126068
gemstone	0.117919
Zonolite	0.11662
titanium	0.11394
"precious metal"	0.110367
petroleum	0.109061
cadmium	0.107175
Gypsum	0.107021
mineral	0.105535
uranium	0.104698
graphite	0.10296
"coal gas"	0.100548
aluminum	0.0965005
chrome	0.0910568
timber	0.0893871
Tin	0.0892278
cocoa	0.0889179
"crude oil"	0.0860666
hydrocarbon	0.08294
emerald	0.0817609
"natural gas"	0.0798147
methane	0.0791508
jade	0.0784215
sapphire	0.077773
"cane sugar"	0.0753105
"liquefied petroleum gas"	0.0740241
FOREX	0.0738351
lithium	0.0726664
"mineral resource"	0.0725523
shale	0.0722579
asbestos	0.0711842
talc	0.0700107
methanol	0.0700002
biosphere	0.0694389
silica	0.0689691
Sulphur	0.0680186
limestone	0.0671234
"palm oil"	0.0663025
"solar energy"	0.0662478
LNG	0.0661906
Ruby	0.0651009
magnesium	0.0650877
garnet	0.0648556
"orange zest"	0.0619898
hydropower	0.0617375
"fish meal"	0.0608619
"stainless steel"	0.060673
"sulfuric acid"	0.0605666
"wheat flour"	0.0604943
enamel	0.0593694
half-and-half	0.0588016
DDT	0.0587834
sulfur	0.0586371
"almond extract"	0.0579827
petrochemical	0.0579704
jewellery	0.0572924
"coconut oil"	0.0569853
"baking powder"	0.0568068
Scarlet	0.0562678
phosphorus	0.0559247
turmeric	0.0555457
"maple syrup"	0.0551094
dioxins	0.0549098
cornstarch	0.0548565
"sea food"	0.0546749
oxide	0.0545238
"evaporated milk"	0.0539221
bitumen	0.0537838
"fossil fuel"	0.0537342
"more than @@ million tons"	0.0534508
tapioca	0.0530914
currant	0.0530163
silverware	0.0526797
"ammonium nitrate"	0.0524394
yolk	0.0523153
"vegetable oil"	0.0511313
"two million tons"	0.0510726
"steel plate"	0.0510237
"waste material"	0.0507504
starch	0.0505605
cornmeal	0.0499069
"egg yolk"	0.0497715
aluminium	0.0496227
mica	0.0493383
"heavy cream"	0.0483399
"building material"	0.0483106
"copper mine"	0.0482554
"pig iron"	0.0481233
"powdered milk"	0.0480347
"chili powder"	0.0480074
"cooking oil"	0.0478054
"celery seed"	0.0476515
tritium	0.0475956
gelatin	0.0474989
"corn syrup"	0.047336
palladium	0.0470927
silt	0.0470668
ethanol	0.0470131
teak	0.0470024
radium	0.0467766
"grapefruit juice"	0.0466017
slag	0.0465911
bullion	0.0465771
alloy	0.0465071
"egg white"	0.046474
cellulose	0.0464557
jute	0.0464047
"dried fruit"	0.0462416
"baking soda"	0.0461545
ivory	0.0461375
groundwater	0.0460234
Wetland	0.0457551
shortening	0.0457546
nitrate	0.045675
"diesel oil"	0.045491
dioxin	0.0454073
selenium	0.0453702
coconut	0.0451707
"liquefied natural gas"	0.0449137
molasses	0.0448825
"cottage cheese"	0.0448422
newsprint	0.0447651
yeast	0.0446215
"vanilla bean"	0.0445992
rum	0.0443316
knitwear	0.0442429
"soya bean"	0.0441525
pewter	0.044084
briquette	0.0439489
"plate glass"	0.0439107
margarine	0.0436779
"ground water"	0.0436629
"about @@ million tons"	0.0436178
resin	0.043482
"lemon peel"	0.0434039
IL	0.0430629
"over @,@@@ tons"	0.042873
"special drawing rights"	0.0426773
"more than @@@,@@@ tons"	0.0425486
"ball bearing"	0.042243
"fuel oil"	0.0417261
Caspian	0.0416479
urea	0.0415254
"nuclear energy"	0.0414098
"over @@ million tons"	0.041372
plasma	0.041358
gravel	0.0413462
cacao	0.0410069
cashmere	0.0406543
Cleaver	0.0405163
"electric power"	0.0405122
"wind power"	0.0404726
"dairy product"	0.0402827
"synthetic fiber"	0.0402207
"cashew nut"	0.0401446
))
(Bavaria (desc 5979.01) (sims
Hesse	0.163788
"Lower Saxony"	0.153471
Saxony	0.135919
Brandenburg	0.108969
"Quintana Roo"	0.102463
Zacatecas	0.102307
Queensland	0.0943326
"Baja California"	0.0814359
Guanajuato	0.0812893
"Uttar Pradesh"	0.0798945
Bihar	0.07974
"New South Wales"	0.0790002
Gujarat	0.0787503
Veracruz	0.077999
Orissa	0.0769615
Bremen	0.0743782
Chiapas	0.073392
Puebla	0.072308
Punjab	0.0717396
Oaxaca	0.0689163
"Gauteng Province"	0.0684281
Sinaloa	0.0681249
"Tamil Nadu"	0.0677643
"Andhra Pradesh"	0.0660726
"Pulau Pinang"	0.0655095
Antioquia	0.0650576
"Himachal Pradesh"	0.0646888
Vermont	0.0642931
Tabasco	0.0642589
"Minas Gerais"	0.0642441
Johor	0.0637475
Bahia	0.0628214
"East Germany"	0.0627871
Sarawak	0.0624088
Louisiana	0.0610827
Michoacan	0.0609324
Putumayo	0.0607485
Arkansas	0.0605353
"Jaffna Peninsula"	0.0603261
"Great Britain"	0.0596003
"South Vietnam"	0.0595036
Hungary	0.059199
chihuahua	0.0590141
"Ivory Coast"	0.0589257
Poland	0.0588943
Belgium	0.0585743
Jaffna	0.0578474
Cambodia	0.0577507
Lynchburg	0.0575021
"Cape Verde"	0.0573349
Delaware	0.0570935
"Palm Beach County"	0.0569413
Kwazulu-Natal	0.0566501
Selangor	0.0564501
Sonora	0.0562733
Illinois	0.0560623
Karnataka	0.0559688
Haryana	0.0558546
"West Bengal"	0.0557959
Guatemala	0.055511
Ningxia	0.0552522
Sichuan	0.0547177
Assam	0.0546607
Alberta	0.05445
"South Australia"	0.0544148
Pennsylvania	0.0543249
Saginaw	0.0543067
Jalisco	0.0542992
Palestine	0.0542104
Nepal	0.0541439
Mississippi	0.0539958
Guerrero	0.0538376
Luxembourg	0.0537596
Oregon	0.053706
Tasmania	0.0534851
NIS	0.0531013
"Sunshine State"	0.0528645
canton	0.0528217
Bulgaria	0.0527639
Tamaulipas	0.0526888
Pailin	0.052584
"West Virginia"	0.0525179
Madagascar	0.0522567
Shaanxi	0.0520498
midland	0.05186
Kerala	0.0515915
Laos	0.05142
Durango	0.0514001
Siberia	0.0509431
Wisconsin	0.0509168
"Shanxi Province"	0.0508427
Venezuela	0.05062
"Shan State"	0.0503713
Peru	0.0503364
peninsula	0.0503
"The Netherlands"	0.0502968
Alabama	0.0502833
"United Kingdom"	0.0501632
Morristown	0.0499475
Niger	0.0499091
"Bel Air"	0.049889
Appalachia	0.0498642
Penang	0.0497208
Prague	0.049652
Jamestown	0.0493819
ROK	0.0492673
"British Columbia"	0.0492414
Anhui	0.0491916
Tigray	0.0491872
Qinghai	0.0490335
Scotland	0.0489484
Xinjiang	0.0488137
Ontario	0.0486961
"Puerto Rico"	0.0485923
"West Germany"	0.0485697
Oman	0.048563
ASHEVILLE	0.0485133
"El Salvador"	0.0484222
Quebec	0.0484074
Brunei	0.0483959
Korea	0.0483889
Mozambique	0.0483878
"New Mexico"	0.0482409
Finland	0.048161
Wichita	0.0479767
"Costa Rica"	0.0479366
Burma	0.0479218
"St. Petersburg"	0.0478602
Leipzig	0.0474797
"Damascus Declaration"	0.0474575
"city state"	0.0474542
Kedah	0.0473566
"Huntington Beach"	0.0473224
"Eastern Europe"	0.0472094
"Granite State"	0.0470046
Panama	0.0469482
"New York State"	0.0468651
Spokane	0.0467185
Farmington	0.0466997
"European country"	0.0466774
Caucasus	0.0466714
"Tibet Autonomous Region"	0.0464622
"Deep South"	0.0464574
Crimea	0.046454
Rhodesia	0.0464358
Mongolia	0.046201
Luxemburg	0.046042
"Western Australia"	0.046041
Cameroun	0.0459649
Windsor	0.0458668
Algeria	0.0457658
Montenegro	0.0457507
Lesotho	0.0456421
"Yunnan Province"	0.0455894
"Inner Mongolia"	0.045583
Katanga	0.045569
"Sao Paulo"	0.045565
"Miami-Dade County"	0.0455488
Kazakhstan	0.0455173
Bhutan	0.0455164
"United State"	0.0454674
"Paradise Valley"	0.0454362
"Kosovo Polje"	0.0454284
Sabah	0.0453896
Ecuador	0.045185
"Fujian Province"	0.0450736
Okinawa	0.0450153
Honduras	0.0449789
Lithuania	0.0449672
Namibia	0.0449488
Leningrad	0.0448479
prefecture	0.0447859
"South San Francisco"	0.0447424
"Jilin Province"	0.044691
Hamburg	0.0445248
Kaduna	0.044486
"Anhui Province"	0.0444695
Yonkers	0.0443219
"Jiangsu Province"	0.0442488
Newfoundland	0.0442282
"African nation"	0.0441908
"Guizhou Province"	0.0441539
Galveston	0.0441487
Victoria	0.044143
Yemen	0.044141
Wyoming	0.0440242
"Tarrant County"	0.0440155
Guangdong	0.0439082
Malacca	0.0438184
Estonia	0.04374
Maharashtra	0.0435976
Togo	0.043421
"Rhode Island"	0.0433786
Latvia	0.043301
Holland	0.0432882
BOGOTA	0.0432801
"Hebei Province"	0.0432008
"Orange County"	0.0431675
"Jiangxi Province"	0.0431622
Vientiane	0.0430969
))
(Bavasi (desc 1389.67) (sims
Stoneman	0.133904
Scioscia	0.124836
Cashman	0.119493
Schottenheimer	0.118934
Braswell	0.117454
Advani	0.117127
Waddell	0.114848
Rongen	0.11362
Bubb	0.111174
Zambrano	0.107519
Kumar	0.107374
GRUNFELD	0.104686
Willard	0.104126
Cubas	0.102456
Cowher	0.10193
Siazon	0.101765
Gullikson	0.10139
Wenger	0.10115
Milbury	0.100975
Singson	0.10066
Dunleavy	0.0998356
Casserly	0.0990138
Safir	0.0988614
Fassel	0.0979227
Rubenstein	0.0973574
Sato	0.0965732
McCurry	0.0964357
Sampson	0.0963379
Skiles	0.0962994
Cremins	0.0950908
Reinsdorf	0.0950402
Schmid	0.0945606
Iger	0.0940707
Bustamante	0.0938904
Coelho	0.0927324
Lambright	0.0926734
Hoddle	0.0923476
Kearin	0.0920907
ISSEL	0.091785
DIMON	0.0907325
Wilkens	0.0904356
Zadornov	0.0901229
Hauser	0.0901019
Monson	0.089946
Dungy	0.0898838
Bakaly	0.0896762
Moonves	0.0895562
Rossotti	0.0887994
Gullit	0.0887267
Solis	0.0882054
Mukora	0.0880954
Reimer	0.0877403
Fleischer	0.0876615
Wolfson	0.0873998
"Drayton McLane Jr."	0.0872075
Troussier	0.0871796
Condit	0.0868186
Marineau	0.0866575
Haskins	0.086592
Barad	0.0865564
Prewitt	0.0859188
hodgson	0.085713
Laudrup	0.0850413
Devine	0.0847167
Jacquet	0.0846943
Whitsitt	0.0846324
Azizah	0.0844251
McKinnon	0.0842417
Lamont	0.0841851
Nickerson	0.0840891
Hunsicker	0.0838706
Gowda	0.0838513
Bhattarai	0.0838132
Duquette	0.0837142
Ganassi	0.0836059
Beckwith	0.0834275
Borbon	0.0834052
Solich	0.0833911
Finney	0.0833049
Molinari	0.0829975
Sheehan	0.0826892
beamer	0.082548
Melvin	0.0825142
Havelange	0.0824644
LaPierre	0.0824469
Alderson	0.0823585
Manley	0.0822469
silber	0.0818067
Bettman	0.0817095
Finkel	0.0813828
Sather	0.0813694
"Bashkim Fino"	0.0813473
Klima	0.081292
Polian	0.0812405
Schuerholz	0.0811836
Bronfman	0.0811647
Groening	0.0810947
Ftorek	0.081077
Posner	0.0810265
Clements	0.0808986
Majali	0.0807914
Sojo	0.080745
Samuelson	0.0806357
Sherrill	0.0804372
DuBose	0.0803512
Tobin	0.0802708
Zucker	0.0801538
Rylander	0.0800501
Bolger	0.0799267
Daft	0.0798714
Meissner	0.0798189
Dowd	0.0797546
Zimmer	0.0797518
Passarella	0.0796993
Ikeda	0.0795981
Leyland	0.0794914
Davie	0.0792456
DeFrantz	0.0792361
Boles	0.0790479
Esrey	0.0788299
Jauron	0.0786973
Ainge	0.0784648
Eizenstat	0.0784433
Bizimungu	0.0783415
Carollo	0.0783258
Mariucci	0.0782164
Vance	0.0780371
"Terry Collins"	0.0779607
Franchione	0.0779385
Hartley	0.0778879
Checketts	0.0778671
Hartwig	0.0777933
Gossage	0.0777207
Bonner	0.0774563
Layden	0.0771044
Lockyer	0.0770615
Heinrichs	0.0770366
Slocum	0.0769442
Wasserman	0.0769293
Bildt	0.0765639
Bratton	0.0763672
Thayer	0.0762754
Ivester	0.0762125
Constantinescu	0.0761609
Hamid	0.0761592
Kerasiotes	0.0758253
McKeon	0.0755649
Ruehe	0.0752791
"Wlodzimierz Cimoszewicz"	0.0751984
Lansky	0.0751005
Parrish	0.0750755
Shevardnadze	0.0749383
Ebersol	0.0747539
Korman	0.0747423
Insulza	0.0747286
Flaherty	0.0745135
Jimy	0.0744314
Ruthardt	0.0743024
Rothenberg	0.0741685
Showalter	0.0741518
Majko	0.073927
Sinden	0.0739237
Scalfaro	0.0738624
Hargrove	0.073848
Vogts	0.0738379
Kissinger	0.0737076
Pelosi	0.0736949
Bellamy	0.0736432
Keenan	0.0735525
Harmoko	0.0733787
Patel	0.0733304
McGinnis	0.0731437
"administration official"	0.0731371
Eubanks	0.0730954
Maslyukov	0.0730773
Caddell	0.0730676
Inman	0.0730359
Barros	0.0728875
Nethercutt	0.0728146
Demps	0.0726907
Piniella	0.0725437
Dehaene	0.0725078
Gaston	0.0725041
Rosenthal	0.0724675
bock	0.0724104
Cowens	0.0724021
Danner	0.072371
Copeland	0.0722693
Demaci	0.0722492
Sykes	0.072088
Coppola	0.0719718
Gosper	0.0719534
Ribbeck	0.0719184
Padilla	0.0716639
Velayati	0.0716591
Romar	0.0716387
Tomjanovich	0.071511
Hartsburg	0.0714714
Allchin	0.0713999
Talebi	0.0713746
))
(Baxter (desc 4577.41) (sims
Greenfield	0.0795558
Lilly	0.0766464
"Con Ed"	0.0745342
Morse	0.0737618
RJR	0.0722299
Medtronic	0.0720414
CellPro	0.0702773
Samuelson	0.0689008
Amgen	0.0673848
Moceanu	0.0668735
Rosales	0.0663398
ARCO	0.0659286
Bridgestone	0.0656686
Edelstein	0.0655767
Ruehe	0.0655672
Bloch	0.0648426
Schultz	0.0648319
RIAA	0.0639846
Bronfman	0.0639725
USEC	0.063779
Kohn	0.0635828
BASF	0.0626417
Genzyme	0.0626314
Kessler	0.0624224
Jewell	0.0623376
Cooley	0.0621701
Conley	0.0614119
Shinn	0.0610987
Rubenstein	0.0608688
Schott	0.060745
Gillette	0.0602256
McMahon	0.0602007
Sepracor	0.0601963
Lambert	0.0600985
Nunez	0.0600447
Mikhailov	0.0599055
"J&AMP;J"	0.0597728
Halberstam	0.0597358
NiSource	0.0596828
Diageo	0.0596147
DEP	0.0596111
ICI	0.0594948
Cargill	0.0593661
Genentech	0.0593407
ENTREMED	0.0591395
Paxson	0.0589086
Solis	0.0587162
Ge	0.0583263
Abbott	0.0581918
Plante	0.0581598
Lockheed	0.0579505
CWA	0.0578967
FPL	0.0576197
Atwater	0.057544
Sinclair	0.0574654
Woodson	0.0573963
Kroll	0.0570386
NORTHROP	0.056967
Amoco	0.0569547
Ebbers	0.0569281
Roque	0.0569176
Humana	0.0568161
Laudrup	0.0567842
Molinari	0.0565744
McKesson	0.0564474
Chiron	0.0563892
Hoechst	0.0562228
SSB	0.0561735
Finkel	0.0561358
Motorola	0.056073
Ringling	0.0559624
Verney	0.0558325
Stinson	0.0555866
Marineau	0.0555361
Merrill	0.0555288
Soyinka	0.0554895
"Eli Lilly &AMP; Co."	0.0552041
McCarty	0.0551889
Pitney	0.0551203
Gullikson	0.0549842
Monsanto	0.0549753
Higgins	0.0549295
Fuentes	0.0547773
Crichton	0.0547379
Sills	0.0546787
Ingraham	0.0546326
Dickson	0.0546012
Burks	0.0545933
HP	0.0544584
Braswell	0.0543768
Constantine	0.0542897
Atwood	0.0542496
"Sara Lee"	0.0542382
Polaroid	0.0539868
"Con Edison"	0.0537994
Giles	0.0535598
Agilent	0.0535148
Priceline	0.0534853
Dunne	0.0534057
Silverstein	0.0532245
Schering-Plough	0.0531453
Claiborne	0.0530124
Brawley	0.0529239
"National Grid"	0.0529059
Donohue	0.0528388
nance	0.0526657
Layden	0.0526082
Hutchison	0.0525576
Laperriere	0.0525403
Lacroix	0.0525045
"P&AMP;G"	0.0524794
Gartner	0.0524126
Ciena	0.0523745
Hirschfeld	0.0522326
UC	0.0522231
"British Foreign Office"	0.052081
"Phelps Dodge"	0.0520125
McLane	0.051984
Salomon	0.0518196
Sheehan	0.0518129
Evans	0.0516989
Emery	0.0515925
Bestfoods	0.0515896
"Northeast Utilities"	0.0515653
Rockwell	0.0515027
Manners	0.0514637
singleton	0.0514378
Jeffers	0.0514253
McKinnon	0.0513814
Mcbride	0.0513748
Katzenberg	0.0513678
Mendez	0.0513325
Grisham	0.051225
Hyman	0.0512148
Hartsburg	0.0511198
Reynolds	0.0511111
Hecht	0.051093
Abdur-Rahim	0.0509896
Espinoza	0.0509767
Seagate	0.0508995
Redd	0.0508724
Texaco	0.0508205
Naumann	0.0508195
SmithKline	0.0507486
Reyes	0.0507265
Fuhrman	0.0507131
"Edmund Morris"	0.0507124
Levinson	0.050708
Contreras	0.0506971
"Michael Skakel"	0.0506571
Hughes	0.0506407
Dupont	0.0506103
"Department of Corrections"	0.0505773
Snyder	0.0504849
Merritt	0.0504713
Lowry	0.0502326
Ruggiero	0.0502231
Padilla	0.0501854
hodgson	0.0501217
Matthews	0.0500764
Grossberg	0.0500181
"PG&AMP;E"	0.0498807
Hirsch	0.0498446
Callaway	0.0497983
GTE	0.049742
Cabrera	0.0497193
"Waste Management"	0.0497072
Reimer	0.0497061
Schaeffer	0.0496722
Symington	0.049611
"De Beers"	0.0496061
Jobe	0.0495553
Clark	0.0495075
F.A	0.0494831
Passarella	0.0494643
Jensen	0.049454
Blackthorne	0.0494165
Eurotunnel	0.0493823
Providian	0.0493711
GPU	0.0493054
Harris-Lewis	0.0492998
Fleischer	0.0492809
"American Home Products"	0.0492624
Dench	0.0491866
Zadornov	0.0491207
EBRD	0.0490753
Wolfe	0.0490502
Rooney	0.0490028
Ingalls	0.0489992
Chris-Craft	0.0489792
Murdoch	0.0489706
Sensenbrenner	0.048941
Maag	0.04892
Berenson	0.0489054
Meehan	0.0488619
ROMNEY	0.0488536
Kaplan	0.0488314
Neulander	0.0486605
AstraZeneca	0.0485824
Mobil	0.0485817
))
(Bay (desc 59354.3) (sims
lake	0.11449
harbor	0.105946
river	0.0992054
"San Francisco Bay"	0.098284
ocean	0.0949246
sea	0.0946592
lagoon	0.0840339
Cove	0.0836337
pond	0.083591
Creek	0.0787945
valley	0.0785168
estuary	0.0783333
Canal	0.0762413
waterway	0.0753135
beach	0.0752405
"Hudson River"	0.0730027
water	0.0724714
"Pacific Ocean"	0.0713806
area	0.0698233
Atlantic	0.0697678
Gulf	0.0691396
desert	0.0670115
Marsh	0.0661851
pacific	0.064792
inlet	0.0642641
park	0.0635457
canyon	0.0631545
"Atlantic Ocean"	0.0628449
forest	0.0601196
coast	0.0598074
island	0.0597135
stream	0.0590373
"Gulf of Mexico"	0.0586998
swamp	0.0586742
mountain	0.0578031
pool	0.0574989
basin	0.0574445
"Kansas City"	0.0566564
port	0.0565776
street	0.0564782
compartment	0.0557781
coastline	0.0554586
Mediterranean	0.0550055
shoreline	0.0548968
"parking lot"	0.0545471
ravine	0.0542034
"swimming pool"	0.0538072
countryside	0.0537075
"Tampa Bay"	0.0534952
Carolina	0.0533394
hill	0.0533129
wetlands	0.0533005
reef	0.0529966
village	0.0529233
Philadelphia	0.0528155
Danube	0.0526422
town	0.0520137
square	0.0519728
garage	0.051818
region	0.0516397
space	0.0514926
reservoir	0.0514265
aquifer	0.0511963
Boston	0.0509949
Jacksonville	0.0509776
"Lake Victoria"	0.05097
"San Francisco"	0.0506181
Hudson	0.049927
Dallas	0.0496367
Oakland	0.0492815
"Mississippi River"	0.0491684
Everglades	0.0491056
Detroit	0.0489287
plain	0.0488751
"New Orleans"	0.0486586
gorge	0.0485563
room	0.0484495
bed	0.0483966
Pittsburgh	0.0480614
Indianapolis	0.0480008
garden	0.0478878
"North Atlantic"	0.0476723
Atlanta	0.0476141
tank	0.0476093
pasture	0.0476064
Baltimore	0.0474912
"Indian Ocean"	0.0474846
Seattle	0.046885
"San Diego"	0.0467012
shore	0.046578
airport	0.0462896
courtyard	0.0460773
highway	0.0460763
"New England"	0.0460207
south	0.0458295
"Green Bay"	0.0458265
"St. Louis"	0.0458128
Caribbean	0.0457694
peninsula	0.045763
road	0.0457358
building	0.0457202
dock	0.0456023
"Los Angeles"	0.0454292
Northeast	0.0454156
pit	0.0451143
strait	0.0450857
Buffalo	0.0450077
waters	0.0449581
downtown	0.0449537
Denver	0.0448379
basement	0.0448132
east	0.0447452
Miami	0.0446775
neighborhood	0.0446623
Toronto	0.0446397
"Black Sea"	0.0445235
hillside	0.0443406
farm	0.0437187
Chicago	0.0436922
Nashville	0.0436474
wall	0.043356
tributary	0.0432605
mall	0.0432276
farmland	0.0431985
hall	0.0431876
cave	0.0431873
apartment	0.04318
hangar	0.0430123
section	0.0429918
Sky	0.042962
suburb	0.04276
Cincinnati	0.0427031
"Yangtze River"	0.0425412
zone	0.0424413
cabin	0.0423056
tunnel	0.0422449
"Red Sea"	0.0422322
lane	0.0421564
hotel	0.0421312
corridor	0.0420945
Florida	0.0420819
cockpit	0.0420716
ANAHEIM	0.0420393
jungle	0.0419858
"Great Lakes"	0.0419835
boat	0.0419679
landscape	0.04178
Warehouse	0.041696
"national park"	0.0415934
waterfront	0.0415812
Minnesota	0.0415705
yard	0.0415116
Cleveland	0.0414031
province	0.0412256
corner	0.0411986
Vancouver	0.0411836
driveway	0.0411715
Grove	0.0411486
ditch	0.0411403
slope	0.0410126
"Persian Gulf"	0.0409218
resort	0.040916
cliff	0.0408783
continent	0.0406323
north	0.0406156
"territorial water"	0.0404359
"South China Sea"	0.040395
cage	0.040347
Phoenix	0.040312
cubicle	0.0403006
county	0.0402898
terrain	0.0402718
floor	0.0400709
))
("Bay Area" (desc 22143.2) (sims
"Southern California"	0.140423
"Silicon Valley"	0.119758
"San Francisco Bay Area"	0.117773
"Northern California"	0.113656
"South Florida"	0.111782
Massachusetts	0.106087
California	0.104144
"New York City"	0.102972
"San Francisco"	0.102939
"San Fernando Valley"	0.0976273
"New York"	0.0968671
"New England"	0.0948952
Atlanta	0.0945443
"Los Angeles"	0.0939248
"Fort Worth"	0.0929852
"Miami Valley"	0.0914907
"Kansas City"	0.0911041
"Bay State"	0.0911
Austin	0.0910427
"East Bay"	0.0900947
"Santa Monica"	0.089437
"Greater Boston"	0.0891037
"inner city"	0.0890286
Tucson	0.0885817
"Palm Beach County"	0.0884225
"Palo Alto"	0.0882141
Minneapolis	0.0877341
L.A	0.0877212
Boston	0.0874394
Houston	0.084905
"New Jersey"	0.0841895
Seattle	0.0840141
Midwest	0.0833649
Manhattan	0.0819914
"Fort Lauderdale"	0.081403
"North Carolina"	0.080964
Honolulu	0.0809572
"Overland Park"	0.0806128
valley	0.0805833
Berkeley	0.0801846
Pennsylvania	0.0795415
Omaha	0.0790561
Westchester	0.0782404
"Twin Cities"	0.0774006
Chicago	0.0770573
Newark	0.0769939
"South San Francisco"	0.0765467
"New Orleans"	0.0762037
Connecticut	0.076151
Baltimore	0.0756036
Shanghai	0.0755926
"Mexico City"	0.0755593
"Long Beach"	0.0754016
Phoenix	0.0748781
"Orange County"	0.074505
Orlando	0.0741648
"North America"	0.0741594
Hartford	0.0741192
Cambridge	0.0739728
Georgia	0.0737469
Pasadena	0.0736208
Denver	0.0732255
Europe	0.0731574
"San Diego"	0.0731024
Tampa	0.0729476
"Las Vegas"	0.0727571
"San Mateo"	0.0725445
Washington	0.0724282
Hawaii	0.0723598
"El Paso"	0.0722415
"Little Rock"	0.0721942
"rural area"	0.0718711
BEIJING	0.071744
Richmond	0.0716941
riverside	0.0716871
Texas	0.0713846
neighborhood	0.0712266
Albuquerque	0.0712141
"Hong Kong"	0.071141
southland	0.0706996
Memphis	0.0705077
"West Hollywood"	0.0703275
"New Hampshire"	0.0701443
"Salt Lake City"	0.0699127
"West Los Angeles"	0.0697806
Bermuda	0.0696107
"Los Angeles County"	0.0696002
"Santa Clara"	0.0695138
"urban area"	0.0691005
"The Bronx"	0.0690863
Albany	0.068893
Encino	0.0687264
Alpharetta	0.0686469
Glendale	0.068636
LONDON	0.0684929
"Pacific Northwest"	0.0679692
"Santa Fe"	0.0679393
"Northern Virginia"	0.0679165
"New Haven"	0.0677804
Dallas	0.0677402
Framingham	0.0677283
"Latin America"	0.0677145
Vermont	0.0676131
"Western Europe"	0.0675408
Singapore	0.0675081
Virginia	0.0672426
Maine	0.0671445
TALLAHASSEE	0.0670456
Nashville	0.0669175
"Marin County"	0.0668961
"Central Texas"	0.0668369
Fresno	0.0664461
"San Antonio"	0.0663903
America	0.0663248
"New Mexico"	0.066098
Tianjin	0.0660919
"West Coast"	0.0659195
Springfield	0.0659011
Portland	0.0658911
Asia	0.065857
"North Texas"	0.0657889
Scottsdale	0.0657359
Greenwich	0.065673
Galveston	0.0656635
"Southeast Asia"	0.0655446
Metroplex	0.0655131
Rochester	0.065501
"Fort Worth-Dallas"	0.0654272
Brooklyn	0.0652516
"Beverly Hills"	0.0652271
"Boca Raton"	0.0652039
"West Palm Beach"	0.0651698
Arizona	0.0651595
Moscow	0.0651521
Jasper	0.0651088
Tokyo	0.065066
"East Coast"	0.0650558
"small town"	0.0649841
Philadelphia	0.064946
"Delray Beach"	0.0647645
Raleigh	0.06474
"Palm Beach Gardens"	0.0647238
Northeast	0.0646627
Alameda	0.0645829
Sacramento	0.0645718
"Bergen County"	0.0643401
"Long Island"	0.0643187
Dublin	0.0642217
Florida	0.0642062
"Palm Beach"	0.0642005
"East Texas"	0.0641411
"Woodland Hills"	0.0641244
"East Harlem"	0.06405
"Rhode Island"	0.0639211
Oakland	0.0638141
"Central Valley"	0.063614
Spokane	0.0635916
Detroit	0.0635744
Marietta	0.0635433
Laramie	0.0634322
Ohio	0.0632269
Englewood	0.0631541
"Silicon Alley"	0.0631493
Charleston	0.0630979
Arlington	0.0630448
Columbus	0.0629852
"St. Petersburg"	0.062977
Pudong	0.062976
"North Beach"	0.0629589
Louisiana	0.0627074
Harlem	0.0626681
"South Carolina"	0.0626302
"St. Louis"	0.0625896
Fremont	0.0624599
Providence	0.0624451
Missouri	0.062418
Tijuana	0.0623566
Guangzhou	0.0623493
Wisconsin	0.062135
Oklahoma	0.0620453
"South Bronx"	0.0619817
"Greenwich Village"	0.0619229
"Oklahoma City"	0.0618929
"Van Nuys"	0.0617772
Macao	0.0617694
"Dominican Republic"	0.0617458
Princeville	0.0616544
"South Texas"	0.0616067
Tarzana	0.0615807
"suburban area"	0.0614893
Milwaukee	0.0614728
Berlin	0.0614137
Iowa	0.0613541
county	0.0613329
"Sao Paulo"	0.0612204
Shenzhen	0.0611608
Dayton	0.0611553
Montreal	0.0611106
"Sherman Oaks"	0.0610687
Greenville	0.0610495
))
("Bay Bridge" (desc 1229.92) (sims
"Golden Gate Bridge"	0.170695
"Interstate @"	0.138579
"Brooklyn Bridge"	0.130521
Seine	0.0977424
"East River"	0.0948243
"San Francisco Bay"	0.0916331
"suspension bridge"	0.0891348
"Potomac River"	0.0833876
freeway	0.0819476
turnpike	0.0804561
"Ohio River"	0.0803822
"Interstate @@@"	0.0791301
"Route @"	0.0790782
"Empire State Building"	0.0772997
"Dead Sea"	0.0769857
"Delaware River"	0.0759251
"Brandenburg Gate"	0.0702235
"Highway @@"	0.0691929
"Missouri River"	0.0672213
"parade ground"	0.0650968
"Boston Harbor"	0.064342
"Long Island Sound"	0.06301
"Victoria Harbor"	0.0623622
"Grand Canal"	0.0621158
Danube	0.0619132
"rail line"	0.0604786
I-@@	0.0600198
"railroad line"	0.0590513
"Demilitarized Zone"	0.058856
"New York Harbor"	0.0586694
"skating rink"	0.0586269
"Mediterranean Sea"	0.0582322
"Lake Michigan"	0.0576917
"athletic facility"	0.0574658
motorway	0.0573088
follies	0.0563984
LaGuardia	0.0557357
"Pennsylvania Avenue"	0.054973
"Danube River"	0.0540878
gnat	0.0538655
"state highway"	0.0537904
"Statue of Liberty"	0.0537815
"Hudson River"	0.0535118
"demarcation line"	0.0534477
"Congo River"	0.0530669
"Boston Common"	0.0528047
Bosporus	0.0525676
X-@@	0.052555
"blast furnace"	0.0520581
"Hong Kong Island"	0.0519531
"Rocky Mountains"	0.0519343
superhighway	0.0516775
"New Jersey Turnpike"	0.0516213
"Huangpu River"	0.0512571
causeway	0.0511807
footbridge	0.0509794
"Treasure Island"	0.050691
"Highway @@@"	0.0506474
"Beijing-Kowloon Railway"	0.0504881
"Eiffel Tower"	0.0502208
"Iron Giant"	0.0500473
"Sinai Peninsula"	0.0500142
Adirondacks	0.0497174
"Colorado River"	0.0497094
"ring road"	0.0493179
"coastal plain"	0.0491046
"three schools"	0.049099
"ski lift"	0.0479075
"Puget Sound"	0.0479002
"ball field"	0.047854
"Florida Straits"	0.0476158
"Hainan Island"	0.0469284
"Adriatic Sea"	0.0461387
"Rockefeller Center"	0.0460374
"Taj Mahal"	0.0460351
"Jordan Valley"	0.045937
Sahara	0.0456883
"Mount Rainier"	0.0454249
"second deck"	0.0453181
"pedestrian bridge"	0.0452166
"tax advantage"	0.0450956
Parkway	0.0449192
"Xinhua News Agency Hong Kong Branch"	0.0447567
Bund	0.0443369
"highway system"	0.0442318
"Columbus Circle"	0.0440553
equator	0.0439813
inlet	0.0438215
"New Frontier"	0.0437553
"Washington Monument"	0.0436856
viaduct	0.0435732
"Lake Erie"	0.0429964
"supply line"	0.0428326
northeastward	0.042533
Parthenon	0.0420136
Thruway	0.0420107
"railroad track"	0.0418761
Bellagio	0.0418149
autobahn	0.0418111
footpath	0.0416022
"Route @@"	0.0415267
"Suez Canal"	0.0414418
jetty	0.0411795
"Air Lanka"	0.0408683
"Erie Canal"	0.0407404
Whitehall	0.0407301
cofferdam	0.0406718
"Indian High Commission"	0.0406477
Esplanade	0.0402831
"Berlin Wall"	0.0402047
Kuito	0.0401722
"Southern Ocean"	0.040092
))
("Bay Hill" (desc 1674.27) (sims
"Royal Birkdale"	0.198912
"Players Championship"	0.178479
"Loch Lomond"	0.169496
"Pleasant Valley"	0.158673
"Pebble Beach"	0.149977
"Sahalee Country Club"	0.142126
Doral	0.138404
"St. Andrews"	0.117854
Carnoustie	0.116298
"British Open"	0.113538
"BellSouth Classic"	0.113256
Pir	0.102767
Pinehurst	0.0943478
"U.S. Open"	0.0927458
"Nagano Olympics"	0.092518
"Augusta National"	0.0923528
"East Lake"	0.088585
Augusta	0.0884488
"Memorial Tournament"	0.0873584
TPC	0.0869006
"Roland Garros"	0.086706
"Olympic Club"	0.0863969
"Tour Championship"	0.0856871
"stroke play"	0.0855658
Belfry	0.085305
"German Open"	0.084991
"Sears Point"	0.0830974
"Indian Wells"	0.0828157
PGA	0.0823012
"Western Open"	0.080088
"Dinah Shore"	0.0798211
Maurier	0.0789694
"United States Open"	0.0789666
Masters	0.0775207
"Pikes Peak"	0.0770266
"Millrose Games"	0.0766925
"Olympic Winter Games"	0.076674
"Lipton Championships"	0.0764754
"PGA Championship"	0.0759034
"Hopman Cup"	0.0757858
Eastbourne	0.07569
"Barcelona Games"	0.0752598
"World Junior Championships"	0.0752039
"Bangkok Asian Games"	0.0748709
"Phoenix Open"	0.0741883
"Italian Open"	0.0740474
Sahalee	0.0726317
Longwood	0.0717771
"Watkins Glen"	0.0688043
Valhalla	0.0685586
Opens	0.0684976
Darlington	0.0679118
Pocono	0.0676238
Martinsville	0.067338
"World Figure Skating Championships"	0.0672212
Rockingham	0.0670383
"Nations Cup"	0.0669821
Talladega	0.0669315
"Nissan Open"	0.0668896
"British Opens"	0.0665054
"Riviera Country Club"	0.0664985
"U.S. Amateur"	0.066394
"Japan Open"	0.0653466
"Oak Hill"	0.0649779
"Buick Invitational"	0.0647411
Anfield	0.0640842
"Southeast Asian Games"	0.0636463
Edgbaston	0.0632767
"Pinehurst No. @"	0.0632428
"Canadian Open"	0.0629246
Roxy	0.0626952
"Atlanta Olympic Games"	0.0626919
"East Asian Games"	0.0618554
Irwindale	0.061411
"Maurier Open"	0.0608823
"Nagano Winter Olympics"	0.0605351
"Dubai World Cup"	0.0599313
Daytona	0.0597876
"Le Mans"	0.0597483
"MLS Cup"	0.0597086
Brickyard	0.0596872
"Hamlet Cup"	0.0594536
Spyglass	0.0590236
"Eighth National Games"	0.0589858
"Nike Tour"	0.0588486
"World University Games"	0.0580886
Medinah	0.0572829
"US Open"	0.0570772
"Buick Classic"	0.0570188
"Grammy Awards"	0.0566642
"Skate America"	0.0566618
"Boston Marathon"	0.0566452
"Dodger Stadium"	0.0561218
"Fort Worth-Dallas"	0.0560646
"U.S. Opens"	0.0559989
Indy	0.0557937
"Talladega Superspeedway"	0.0552834
"Cannes Film Festival"	0.0552075
"Lambeau Field"	0.0547617
"French Open"	0.0542797
"Marine Midland Arena"	0.0542673
"Southwest Conference"	0.0532494
"Champions Cup"	0.0522146
"Australian Open"	0.05211
"World Table Tennis Championships"	0.0519407
"match play"	0.0513252
"Continental Arena"	0.0511913
"Centennial Olympic Games"	0.051186
Bristol	0.0510113
"European Championships"	0.0508184
"Federation Cup"	0.0507936
Halle	0.050715
"Arrowhead Stadium"	0.0505966
"County Stadium"	0.0504539
"Olympic Trials"	0.0504083
"Fed Cup"	0.0503875
"Stockholm Open"	0.0501302
buzzer	0.0500232
"Gold Cup"	0.0500177
"Sundance Film Festival"	0.0497735
"South Regional"	0.0497072
"Seoul Olympics"	0.0495774
"Stade Velodrome"	0.0494368
"London Marathon"	0.0493651
"AFC Championship Game"	0.0492639
"Atlanta Games"	0.0488389
croquet	0.0487624
"European Cup"	0.0487169
"Walt Disney World"	0.0486906
"Pan American Games"	0.0486713
"National League West"	0.0485518
"Flushing Meadows"	0.0484537
"Joe Louis Arena"	0.0482331
"Sun City"	0.0479233
Aqueduct	0.0479022
"Asian Cup"	0.0478815
"Michigan Speedway"	0.047713
"Copa America"	0.0476815
"Texas Motor Speedway"	0.0472028
"Veterans Stadium"	0.0471912
"PGA Championships"	0.0471191
"about three percent"	0.0469118
"Big West"	0.0469009
"Santa Anita"	0.0468386
Valderrama	0.0468219
"Jackson State"	0.0468197
Keeneland	0.0464918
"Arkansas Derby"	0.0460648
Sarazen	0.0460215
"Southwest Missouri State"	0.0460196
"World Athletics Championships"	0.0458386
"Indy @@@"	0.0456597
"Northeast Division"	0.0455561
"Conseco Fieldhouse"	0.0455475
"LA COSTA"	0.0454682
"Orange Bowl"	0.0454436
"Pan Am Games"	0.0452412
"Dartmouth College"	0.0452241
"first cup"	0.0449864
"Big Sky Conference"	0.0448697
"New York City Marathon"	0.0448372
Riviera	0.0447951
pebble	0.0446425
"Barcelona Olympics"	0.0445855
"World Swimming Championships"	0.0444603
Dover	0.044386
"Mile High Stadium"	0.0441531
Universiade	0.0441064
"Kiel Center"	0.0439326
snooker	0.0439232
"Old Course"	0.0437168
Lipton	0.0434908
"Confederations Cup"	0.0434654
"Ben Hogan"	0.0433757
par-@@	0.04336
"ski jumping"	0.0433596
"Old Trafford"	0.0432116
Paralympics	0.0431589
Ironman	0.0431267
"Home Run Derby"	0.0429882
BYU	0.0429698
"Dunhill Cup"	0.0426824
"Reunion Arena"	0.0424585
"Sam Snead"	0.0424431
KeyArena	0.0424129
PALERMO	0.0422848
"First Baptist Church"	0.041983
"Asian Winter Games"	0.0419444
Heptathlon	0.0419277
pre-Olympic	0.0418111
Sherwood	0.0417872
Sugarloaf	0.0416946
"NL Central"	0.0415602
Rotterdam	0.041542
"Cal State Fullerton"	0.0414231
"Augusta National Golf Club"	0.0413416
"Mastercard Colonial"	0.0413372
dusk	0.0413248
"Gulfstream Park"	0.0412995
"SEC East"	0.0412737
))
("bay leaf" (desc 5457.43) (sims
thyme	0.379111
oregano	0.356281
marjoram	0.31238
coriander	0.296489
cumin	0.286089
peppercorn	0.285058
"star anise"	0.271393
tarragon	0.270764
parsley	0.263935
allspice	0.263134
Garlic	0.256175
clove	0.255133
Basil	0.254536
rosemary	0.253777
"fennel seed"	0.248815
chive	0.242265
"lemon zest"	0.238374
cayenne	0.236014
nutmeg	0.235584
"lemon juice"	0.235259
"chili powder"	0.234463
"black pepper"	0.232479
"tomato paste"	0.229759
cilantro	0.224353
"garlic clove"	0.222984
ginger	0.220118
shallot	0.217868
chervil	0.216036
turmeric	0.212143
"mustard seed"	0.211747
cinnamon	0.211668
chilies	0.211406
"orange zest"	0.209878
fennel	0.206873
"red pepper"	0.20546
"cayenne pepper"	0.203896
onion	0.202166
paprika	0.200995
cardamom	0.200842
saffron	0.197474
scallion	0.197128
"curry powder"	0.196887
dill	0.196019
"red onion"	0.195046
salt	0.193003
"cumin seed"	0.190244
pepper	0.188926
flake	0.187884
vinegar	0.183247
"green onion"	0.181138
jalapeno	0.179721
mint	0.178295
Sage	0.177274
"vanilla bean"	0.176404
"bell pepper"	0.175213
"lime juice"	0.173251
savory	0.172093
chiles	0.168709
sprig	0.168602
tomato	0.168166
"olive oil"	0.166561
celery	0.165687
"chicken broth"	0.165322
"chicken stock"	0.163709
"coriander seed"	0.163248
"soy sauce"	0.161941
"Worcestershire sauce"	0.159355
mustard	0.157134
"pine nut"	0.152797
lemongrass	0.149841
"orange peel"	0.148573
olive	0.148072
carrot	0.145355
leek	0.143681
seasoning	0.142517
"green pepper"	0.140799
"chili pepper"	0.140617
"tomato sauce"	0.139454
"white pepper"	0.139065
"pepper sauce"	0.13837
lemon	0.136338
"brown sugar"	0.134649
"celery seed"	0.134005
horseradish	0.133811
mushroom	0.133777
spice	0.133069
"Tabasco sauce"	0.130325
"egg yolk"	0.129459
anise	0.129206
mace	0.129012
anchovy	0.128641
zucchini	0.127005
herb	0.125754
cornstarch	0.125493
broth	0.125245
caper	0.124947
pancetta	0.121578
molasses	0.121426
"lemon peel"	0.117638
"sesame oil"	0.117523
Parmesan	0.116967
ricotta	0.116462
tahini	0.116374
"black olive"	0.115065
breadcrumb	0.113988
butter	0.113969
cucumber	0.113844
honey	0.113334
vermouth	0.113294
eggplant	0.112757
sugar	0.112357
vanilla	0.112045
"beef broth"	0.11157
"seasoned salt"	0.110746
"sour cream"	0.109868
cheese	0.109643
watercress	0.109497
pinch	0.109228
lettuce	0.108433
lime	0.107986
crumb	0.107591
Chili	0.10698
half-and-half	0.106384
"wine vinegar"	0.10554
"garlic salt"	0.104823
"coconut milk"	0.104795
"hot pepper"	0.104515
FETA	0.104465
parsnip	0.103605
cabbage	0.102882
powder	0.102541
artichoke	0.102311
"white wine"	0.102093
"baking soda"	0.101736
"water chestnut"	0.100825
raisin	0.0996622
lentil	0.0994787
zest	0.0990243
"grated cheese"	0.0990127
spinach	0.0990039
pea	0.0989525
sausage	0.0981829
tomatillo	0.0963488
lavender	0.0963292
turnip	0.0960723
"cherry tomato"	0.0955881
mayonnaise	0.0954144
"orange juice"	0.0949477
sherry	0.0946609
"snow pea"	0.0945416
"baking powder"	0.0939127
bacon	0.0933394
"red wine"	0.0927566
leaf	0.0926576
"sesame seed"	0.0924064
fillet	0.0922446
potato	0.0919529
sauce	0.0918377
"sweet potato"	0.0918099
pineapple	0.0908984
"bean sprout"	0.0903358
"goat cheese"	0.0900038
florets	0.0898562
juice	0.089824
"egg white"	0.0897744
plantain	0.0897319
shrimp	0.0895401
radish	0.0892887
"winter squash"	0.0887481
flavoring	0.0887216
pimento	0.0871915
coconut	0.0869291
peppermint	0.0867673
ketchup	0.0866217
arugula	0.0861307
"blue cheese"	0.0859866
bean	0.0856195
Broccoli	0.0847411
cream	0.0844889
"peanut oil"	0.0841141
buttermilk	0.0836755
Tamarind	0.0832872
walnut	0.0831911
"white bean"	0.083058
"chili sauce"	0.0828443
fig	0.0823775
Tabasco	0.0815918
"evaporated milk"	0.0815902
"corn syrup"	0.0810471
pickle	0.0802755
egg	0.0801816
cornmeal	0.0800306
pod	0.0798125
"heavy cream"	0.0797601
bulgur	0.079654
asparagus	0.0788638
raspberry	0.0786736
avocado	0.0784051
"hot sauce"	0.0783308
almond	0.0780716
))
("Bay Networks" (desc 1787.73) (sims
"Fred Meyer"	0.198473
"Silicon Graphics"	0.194108
"U.S. Trust"	0.193339
"Bankers Trust Corp."	0.191994
"Netscape Communications"	0.1897
ascend	0.173891
Ciena	0.168399
"Atlantic Richfield"	0.167448
Petrofina	0.165216
ALZA	0.162112
"Mobil Corp."	0.153738
Fingerhut	0.152376
"Sun Microsystems"	0.151587
COLTEC	0.150307
Comsat	0.150259
"Learning Co."	0.147876
"Y&AMP;R"	0.14546
PolyGram	0.143939
YPF	0.139855
Ameritech	0.137142
Netcom	0.137033
"MediaOne Group"	0.136087
ITT	0.136054
"Thermo Electron"	0.136021
"Digital Equipment Corp."	0.135623
EMC	0.135032
"Atlantic Richfield Co."	0.133489
TELLABS	0.133468
"Chrysler Corp."	0.132688
SDL	0.13214
Nortel	0.131721
ARCO	0.131253
"Times Mirror"	0.12983
SkyTel	0.129758
Novell	0.128977
"Times Mirror Co."	0.12799
GTE	0.126885
Airtouch	0.126577
Lucent	0.124616
"Digital Equipment"	0.124216
"U S West"	0.123992
TCI	0.123494
"Union Carbide"	0.123348
"Nippon Credit"	0.12277
"Lotus Development Corp."	0.12254
Paribas	0.121346
Broderbund	0.12032
"Tele-Communications Inc."	0.119683
Broadcast.com	0.119631
"Bankers Trust"	0.119599
GeoCities	0.118831
BankAmerica	0.118411
"Ameritech Corp."	0.118235
"McDonnell Douglas"	0.117681
VoiceStream	0.116754
CompuServe	0.116207
Orangina	0.116128
Pairgain	0.115789
Cisco	0.115588
"Frontier Corp."	0.114576
"Telecom Italia"	0.114466
Amoco	0.114332
"Nortel Networks"	0.113001
Conrail	0.112878
Mediaone	0.112634
ENTERGY	0.112291
Avondale	0.112097
MCI	0.111958
"GTE Corp."	0.111339
"BankBoston Corp."	0.111215
"Hewlett Packard"	0.111143
Intuit	0.110915
oracle	0.110914
Stratus	0.110909
HBOC	0.110067
"Time Warner"	0.109892
Bestfoods	0.108916
NatWest	0.108371
PRIMESTAR	0.108347
"Orange PLC"	0.10769
Infoseek	0.107689
WorldCom	0.107016
Asda	0.106122
Hewlett-Packard	0.106049
"Niagara Mohawk"	0.105694
"Lycos Inc."	0.105495
Asarco	0.105378
"Cisco Systems"	0.104846
Warner-Lambert	0.104598
Alcatel	0.104484
"Lucent Technologies"	0.104388
Mannesmann	0.104142
Seagram	0.103962
"CBS Corp."	0.103278
"MCI Communications Corp."	0.102911
Unisys	0.102889
"Dell Computer"	0.102529
ExciteAtHome	0.102215
sandpiper	0.102133
XYLAN	0.102116
Humana	0.101826
"RJR Nabisco"	0.101625
WebMD	0.101418
"US Airways"	0.101161
Lycos	0.101008
Scania	0.100981
Omnipoint	0.100895
"Waste Management"	0.100675
Emulex	0.100153
"Sprint Corp."	0.0998556
Astra	0.0997995
Inktomi	0.0993794
BankBoston	0.0980529
"Learning Company"	0.0967642
WPP	0.0965806
"BankAmerica Corp."	0.0965447
"True North"	0.0962112
Mobil	0.0958315
"Rolls-Royce Motor Cars"	0.0957279
Genzyme	0.0956612
Motorola	0.0955195
"Reno Air"	0.0946583
"US West"	0.0945293
"Canadian Airlines"	0.0938845
"Apple Computer"	0.0933478
VENATOR	0.0932565
"Time Warner Inc."	0.0928903
"Compaq Computer"	0.0915782
SGI	0.0915771
IMS	0.0912114
"Northeast Utilities"	0.0909699
"Thomson Multimedia"	0.0906723
Nextel	0.0899416
GPU	0.0899389
"Dayton Hudson"	0.0890251
NTL	0.0889775
Chrysler	0.0888398
"Netscape Communications Corp."	0.088338
"Air Canada"	0.0882551
Chiron	0.0882388
Tropicana	0.0881658
"Global Crossing"	0.0874415
AMP	0.0872799
Seagate	0.0860831
Pillsbury	0.0858616
Daimler-Benz	0.0855431
HomeGrocer.com	0.0854666
NORTHROP	0.0853924
Compaq	0.0852201
Qualcomm	0.0849024
SmithKline	0.0845143
BofA	0.0845024
HP	0.0843891
Norwest	0.0841294
"KCP&AMP;L"	0.0840848
Healtheon	0.083794
Gulfstream	0.0835045
Netscape	0.0832139
Viacom	0.083106
"Adobe Systems"	0.0829725
PEOPLESOFT	0.0829121
REIT	0.0824618
"Wells Fargo"	0.0824599
Nokia	0.0824248
"controlling interest"	0.0817674
CMGI	0.0816399
Nabisco	0.0811286
Dell	0.0807297
Comcast	0.0796208
"MindSpring Enterprises"	0.079525
Marconi	0.0791187
RealNetworks	0.0791155
Northpoint	0.0790486
Corning	0.0784781
RJR	0.0778747
Chris-Craft	0.0775698
NetZero	0.077422
Conoco	0.0773994
"Newport News"	0.0773661
Qwest	0.0773284
Terra	0.0771509
"Levi Strauss"	0.0770489
"equity interest"	0.0769917
"Airtouch Communications"	0.0769905
Zapata	0.0768897
BCE	0.0767859
Dresdner	0.0767492
Priceline.com	0.0763595
EarthLink	0.0761357
"minority stake"	0.0759239
"Hambrecht &AMP; Quist"	0.0759163
Lilco	0.0758637
Informix	0.0756591
"Liberty Media"	0.0756348
"P&AMP;G"	0.075609
Monsanto	0.075416
Tenneco	0.0753264
Vivendi	0.0751537
"MCI WorldCom"	0.0751365
Snapple	0.0751328
))
("Bay of Bengal" (desc 2969.52) (sims
"South China Sea"	0.162018
"Sea of Japan"	0.142848
"Bohai Bay"	0.140177
"Red Sea"	0.130401
"Arabian Sea"	0.124538
"North Atlantic"	0.118839
"East China Sea"	0.117162
"rough water"	0.116535
"Gulf of Mexico"	0.114953
"Manila Bay"	0.114697
"Baltic Sea"	0.112331
"Lake Victoria"	0.108529
"Yellow Sea"	0.103705
"Barents Sea"	0.102429
"Indian Ocean"	0.10107
"Pacific Ocean"	0.098272
"Adriatic Sea"	0.0946464
"Dead Sea"	0.0937702
Gulf	0.0912294
"South Atlantic"	0.0909892
"English Channel"	0.0902512
"Chesapeake Bay"	0.0891675
"Arctic Ocean"	0.0890165
"high sea"	0.0886228
Aegean	0.0882856
pacific	0.0878514
Mediterranean	0.0878503
"Mediterranean Sea"	0.0871606
"South Pacific"	0.0865975
"Qaidam Basin"	0.0854345
"Black Sea"	0.0846302
"North Sea"	0.0841169
"Mekong River"	0.0838179
Atlantic	0.0833819
"Southern Ocean"	0.0832032
"Persian Gulf"	0.0830517
"Western Pacific"	0.0828547
"Aegean Sea"	0.082692
"Golden Triangle"	0.082336
"San Francisco Bay"	0.0811555
"New York Harbor"	0.0788733
"Puget Sound"	0.0760448
Euphrates	0.074572
"Bohai Sea"	0.0745393
"Long Island Sound"	0.0730533
"Lake Ontario"	0.0723627
"territorial water"	0.0709241
"Caribbean Sea"	0.069217
"Atlantic Ocean"	0.0684715
"Lake Erie"	0.0639045
"North Island"	0.0636069
Bengal	0.0635712
"Caspian Sea"	0.0607273
"Pearl River"	0.0592955
"Interstate @"	0.0587483
"Taklimakan Desert"	0.0574763
"Great Lakes"	0.0571709
Tigris	0.0568149
strait	0.0557415
"Yucatan Peninsula"	0.0549442
Caprivi	0.0547988
Mullaitivu	0.0533579
"Taihu Lake"	0.0533306
Uvira	0.0531405
"Grand Canyon"	0.0527079
Drenica	0.0526195
"Huaihe River"	0.0525922
"Jordan River"	0.0515771
"Florida Straits"	0.0511141
"Dongting Lake"	0.0508391
"river basin"	0.0505519
"Tarim Basin"	0.0504846
"Colorado River"	0.0502009
Luzon	0.0501296
"Demilitarized Zone"	0.0498716
"Yellow River"	0.04921
Caspian	0.0491467
Peshawar	0.0490661
"Quintana Roo"	0.0490536
estuary	0.0486981
"Cape Fear"	0.0484686
bayou	0.0482795
Bazar	0.0480731
"Potomac River"	0.0478814
Paphos	0.0476911
"Boston Harbor"	0.0464251
lagoon	0.0464017
"Los Angeles International Airport"	0.0460327
Khabarovsk	0.0459695
Orissa	0.0459527
"Far East"	0.0458688
Galilee	0.0458112
Isthmus	0.0455915
"Fort Worth-Dallas"	0.045499
Bund	0.0451796
Qomolangma	0.0451312
Adriatic	0.0447385
"Pacific Northwest"	0.0447107
"Tar River"	0.0444965
"Delaware River"	0.0444405
Puglia	0.0442251
"Grand Canyon National Park"	0.0441927
Bekaa	0.0441644
Seine	0.0441452
"Taiwan Strait"	0.0440337
Badme	0.0440101
Carolinas	0.0438974
Greenland	0.0437847
Urosevac	0.0437822
Himalayas	0.0434762
"southern hemisphere"	0.0433788
Indochina	0.0430928
"Rio Grande"	0.0429509
"northern hemisphere"	0.0429372
"Vancouver Island"	0.0427846
"Papua New Guinea"	0.0419991
midstream	0.041688
Jenin	0.0416536
"Florida Keys"	0.0415967
Decani	0.0414693
"East Asia"	0.0410606
"Arctic Circle"	0.0409174
tributary	0.0406441
ravine	0.0404756
Yangtze	0.0404648
"Dallas-Fort Worth"	0.0402741
Bengkulu	0.0402081
"apparel industry"	0.0401315
"Taiwan Straits"	0.0400877
))
("Bay Ridge" (desc 1182.59) (sims
"East New York"	0.250866
"Park Slope"	0.218336
Bensonhurst	0.200284
Bedford-Stuyvesant	0.195057
"Borough Park"	0.193621
Flatbush	0.182209
"Crown Heights"	0.181832
"Brighton Beach"	0.16674
"Red Hook"	0.161448
Williamsburg	0.12068
"Little Italy"	0.106779
"Forest Hills"	0.094207
"Washington Heights"	0.09414
"San Felipe"	0.0783926
Tribeca	0.0780345
"East Harlem"	0.0773527
Brownsville	0.0769934
Kensington	0.0768419
"skid row"	0.0729704
"South Beach"	0.071793
Roxbury	0.0711149
Astoria	0.0699361
"Highland Park"	0.0681072
"North Beach"	0.0677745
Riverdale	0.0676743
"Old Town"	0.0670138
"Hell's Kitchen"	0.0663045
"Long Island City"	0.0661325
nosebleed	0.0649687
"talk of the town"	0.0636144
"Hyde Park"	0.0634845
Flushing	0.0601639
Dorchester	0.0601463
Hollis	0.0576002
Hasidic	0.0568517
"Little Havana"	0.0563027
"Coney Island"	0.0562596
Queens	0.0558587
Buckhead	0.055606
"Granada Hills"	0.0548622
"frequently asked question"	0.0536654
Fordham	0.053175
"College Park"	0.052663
Dunwoody	0.0524928
BRIGHTON	0.0518981
"Happy Valley"	0.0517285
Brentwood	0.0513785
Charlestown	0.0511128
"Malaysia Airlines"	0.0511117
"Studio City"	0.050854
Bund	0.0504486
"St. Albans"	0.0502755
"A few key"	0.0491718
"East Lake"	0.0488461
"East Boston"	0.0471645
"East Los Angeles"	0.0470939
"North Hollywood"	0.0470404
"Texas Senate"	0.0467073
MSF	0.0459606
"Bel Air"	0.0451867
late-'@@s	0.0450767
"Overland Park"	0.0447805
"South Bronx"	0.0447544
Abilene	0.0444516
Bambi	0.0443326
Seagate	0.044212
"Woodland Hills"	0.0435569
"Culver City"	0.0435139
"French horn"	0.0433427
Chatsworth	0.0431084
Greenwood	0.0428051
Mayfair	0.0425711
Northland	0.0425605
Zhongguancun	0.042204
Petersburg	0.0416556
mezzanine	0.0416167
"Beacon Hill"	0.0414767
Waterville	0.0412409
sq.km	0.0410417
easterain	0.0404927
Gilead	0.0404905
"Van Nuys"	0.0404056
Moonshine	0.0401297
))
("Bay State" (desc 4336.95) (sims
Massachusetts	0.109491
"Orthodox Jewish"	0.0993315
"Bay Area"	0.0911
"East Bay"	0.0849757
"Israeli Arab"	0.0795855
cost-conscious	0.0756225
"Garden State"	0.0703411
non-Indian	0.0702318
"Miami Valley"	0.0696592
"Central Texas"	0.0685002
"Ethnic Albanian"	0.064769
"San Francisco Bay Area"	0.0641005
Norcross	0.0640845
Missouri	0.0631626
"Kosovar Albanian"	0.0627458
Cuban-American	0.0619107
Pennsylvania	0.0618462
"Antelope Valley"	0.0615006
"Irish Catholic"	0.060925
"roughly @@,@@@"	0.0605823
"Hispanic American"	0.0603234
"Empire State"	0.0591743
"Tarrant County"	0.0591097
Maasai	0.0587579
"Southern California"	0.0582428
"National Action"	0.0573049
"Democratic Revolution"	0.0570252
"New York State"	0.0567747
"American Jewish"	0.056582
"Granite State"	0.0561231
Japanese-American	0.0557102
"Pitt County"	0.0546961
non-Hispanic	0.0546098
Downstate	0.0545452
"Rhode Island"	0.0545317
Louisiana	0.0542018
Sandinista	0.0541902
Vermont	0.0537231
Maine	0.0533201
"Seven million"	0.0532675
non-Catholic	0.0523474
"San Diego County"	0.0521152
Alpharetta	0.052107
"Christian Democrat"	0.0515523
"securities business"	0.0515116
"Silicon Valley"	0.051448
Irish-American	0.0513729
ultra-Orthodox	0.0513377
"New Mexico"	0.0512843
"Northern California"	0.0512655
"Boys Ranch"	0.0511644
"South Florida"	0.0510593
Arab-American	0.0506462
"nearly @@@,@@@"	0.0502428
"African American"	0.0501927
"securities industry"	0.0497222
NHS	0.04967
Andover	0.0496132
FPL	0.0494809
"nearly @@@"	0.0492521
Makah	0.0488596
southland	0.0487758
"nearly @,@@@"	0.0483429
"Asian American"	0.0482698
Mississippi	0.0481835
Okinawan	0.0481384
Chinese-American	0.0480765
"Rio Grande Valley"	0.0480757
Sunnyvale	0.0480681
Fremont	0.0479058
Mexican-American	0.0477962
"Maricopa County"	0.0474008
"Northern Irish"	0.0473101
Walkerton	0.0471194
"R Block"	0.047118
"Thousand Oaks"	0.0470143
"roughly @,@@@"	0.0463509
Asian-American	0.0463211
"Kosovo Albanian"	0.0462623
dot.com	0.0461905
Nevada	0.0461773
"Eastern European"	0.0461258
"Texas Senate"	0.0461192
Sixteen	0.0459967
"South San Francisco"	0.0459804
Druse	0.0458393
Northland	0.045731
"Silicon Alley"	0.0456101
"South Georgia"	0.0454825
slain	0.0454576
Philippine	0.0452181
Marlborough	0.0451243
idling	0.0450397
DPP	0.0449703
Amish	0.0449621
"Twin Cities"	0.0447543
Overnite	0.0446832
aftermarket	0.0445245
B@B	0.0441698
"nearly @ million"	0.0441309
"lame duck"	0.0441182
Bronx	0.0441039
MSC	0.0440636
"Los Angeles County"	0.0439896
Icahn	0.0439758
Riady	0.0438741
"Four million"	0.0437646
"inner city"	0.043538
Scottsdale	0.0433591
"Palm Beach County"	0.0432971
Euroland	0.0432737
Twelve	0.0431466
AUM	0.0430063
CSA	0.0429731
"almost @@,@@@"	0.042888
"Menlo Park"	0.0428089
"Jackson County"	0.0427974
"turning away"	0.0426781
"Harvard Pilgrim Health Care"	0.0426016
"over @.@ million"	0.0425952
Kashmiri	0.0425677
"nearly @@ million"	0.0425557
Zapata	0.0423961
"Asia Pacific"	0.0423903
Chatsworth	0.0423864
"California Republican"	0.0423086
U.K.	0.0420435
Quaker	0.0418655
Acton	0.0418468
"South Korean"	0.0417898
Asia-Pacific	0.0416431
"North Texas"	0.0415973
Italian-American	0.0415589
"about @ million"	0.0415567
"North American"	0.041528
Ojai	0.0414507
"Southern Baptist"	0.0414228
Burma	0.0414048
"penny stock"	0.041378
Woburn	0.0412677
midsize	0.0411707
"Western European"	0.0411413
Peachtree	0.0410637
"Puerto Rican"	0.0410266
Reseda	0.0410068
Sephardic	0.0409666
va	0.0409106
Kosovar	0.0408913
"KCP&AMP;L"	0.0408154
"boxing ring"	0.0407719
"two dozen"	0.0406822
Savannah	0.0406415
"up to @,@@@"	0.0404591
"more than one million"	0.0404456
two-digit	0.0403978
Kroll	0.0401016
"the US"	0.0400899
EPZs	0.0400603
Hesse	0.0400483
"city state"	0.0400306
))
(Bayer (desc 5251.97) (sims
BASF	0.275842
Rhone-Poulenc	0.203813
Hoechst	0.192271
Novartis	0.172135
Siemens	0.158201
Roche	0.155559
ICI	0.143706
Alcatel	0.143199
Monsanto	0.140085
AstraZeneca	0.130476
Unilever	0.12877
"Glaxo Wellcome"	0.128025
"Abbott Laboratories"	0.126986
Volkswagen	0.122165
Nestle	0.119112
Aegon	0.116659
Dupont	0.114675
"P&AMP;G"	0.114234
Pfizer	0.113779
RJR	0.112053
"SmithKline Beecham"	0.109898
DaimlerChrysler	0.1089
"Ford Motor"	0.105607
Bertelsmann	0.105217
"Eli Lilly &AMP; Co."	0.104975
Cargill	0.103591
Warner-Lambert	0.102955
Schering	0.102566
Fiat	0.102185
Motorola	0.10075
Ericsson	0.100188
"Johnson &AMP; Johnson"	0.0993382
BP	0.0992395
Astra	0.0987551
VW	0.0981773
SmithKline	0.0980765
TYCO	0.0978008
"American Home"	0.0971589
Pepsico	0.0968329
Genzyme	0.096531
"J&AMP;J"	0.0961327
Daimler-Benz	0.0960132
Hyundai	0.0959291
Nortel	0.0957482
"Ford Motor Co."	0.0957336
"General Motors Corp."	0.0956227
"Sara Lee"	0.0953866
Raytheon	0.0949377
Amgen	0.0946824
Georgia-Pacific	0.094414
Cadbury	0.0940976
Federated	0.0939688
Penney	0.0938576
Searle	0.0934806
Genentech	0.0926793
Philips	0.0926075
Nokia	0.0924468
Merck	0.0915496
Aventis	0.0913331
Heinz	0.0903592
Mannesmann	0.090221
Samsung	0.089193
Pharmacia	0.0889421
Compaq	0.0889289
Volvo	0.0888152
Pitney	0.0883878
NORTHROP	0.0883456
Wyeth-Ayerst	0.0883413
Electrolux	0.0877884
AHP	0.0876376
"American Home Products"	0.087524
BMW	0.0875151
"Deutsche Bank"	0.0874854
Eni	0.0874179
Kodak	0.0871028
Daewoo	0.0865659
"Pfizer Inc."	0.0864751
"Union Carbide"	0.0860365
Starwood	0.0859483
Sumitomo	0.0858318
ABB	0.0853883
HP	0.0853029
Mitsubishi	0.0850214
Alcoa	0.0848621
"Bristol-Myers Squibb"	0.0846935
"Volkswagen AG"	0.084652
Ge	0.0841693
ZIFF-DAVIS	0.0840911
Seagate	0.0840524
"Cadbury Schweppes"	0.0840023
BNFL	0.0838219
AutoNation	0.0838091
"Deutsche Telekom"	0.0835807
AXA	0.0833455
"Thomson CSF"	0.0833229
Goodyear	0.0832932
Renault	0.0832796
Honeywell	0.0828521
Tenneco	0.0828099
"Philip Morris"	0.0822886
Corning	0.0819062
Enron	0.0817754
"General Motors"	0.081721
Aetna	0.0816448
Glaxo	0.0816135
Gilead	0.0814136
TKT	0.0812755
"BP Amoco"	0.0812655
Nabisco	0.0807763
NIKE	0.0804139
Cabletron	0.0803522
Audi	0.0803019
Merrill	0.080002
AIG	0.0794914
Seagram	0.0793376
Providian	0.0791695
Zeneca	0.0791674
Lucent	0.0791136
Viag	0.07905
IDT	0.0781483
Litton	0.0778007
"Merck &AMP; Co."	0.0776466
Saab	0.0774618
Hitachi	0.0774087
Delphi	0.0773739
Exxon	0.0773498
Vivendi	0.0772797
Bestfoods	0.0766089
"Dow Corning"	0.0764556
Lucasfilm	0.0763917
"British Petroleum"	0.075925
EMC	0.0759012
"Texas Instruments"	0.0759
NTL	0.0758457
Chiron	0.0758203
Stroh	0.0755565
"Lockheed Martin Corp."	0.0752631
L'Oreal	0.0752233
IBM	0.0751652
"GE Capital"	0.0751344
Mattel	0.0751156
Chevron	0.0748998
"Eli Lilly"	0.0748784
"Lockheed Martin"	0.0748585
Lilly	0.0748411
Livent	0.0747707
AMD	0.0747001
SBC	0.0745749
"Siemens AG"	0.0744561
Matsushita	0.0743234
Lockheed	0.0740061
"Pacific Century"	0.0738454
Viacom	0.0737093
PictureTel	0.0735846
RealNetworks	0.0735589
"Lucent Technologies"	0.0735136
"National Grid"	0.0734766
Scientific-Atlanta	0.073436
GM	0.0733302
Daimler	0.0732406
IAI	0.0729511
Nomura	0.0729496
Michelin	0.0729404
"MCI WorldCom"	0.0728842
"Daimlerchrysler AG"	0.0726632
Qualcomm	0.0725893
GEC	0.0725428
"Wyeth-Ayerst Laboratories"	0.0724074
UBS	0.0722188
"General Electric"	0.0720702
"News Corp."	0.0720137
BankBoston	0.0718782
Amway	0.0717669
VICKERS	0.0716601
Daimler-Chrysler	0.0715667
prudential	0.0710357
"Dow Chemical"	0.0709971
"Volvo AB"	0.0709496
WorldCom	0.0709423
Deutsche	0.0708541
"Coca Cola"	0.0708141
"Intel Corp."	0.0705166
"BellSouth Corp."	0.0704638
ING	0.0704476
"Qualcomm Inc."	0.0703578
MCI	0.0702846
Thyssen	0.070229
Abbott	0.0701467
Honda	0.0700291
Texaco	0.0697556
Softbank	0.0697525
ENTERGY	0.0696274
"Enron Corp."	0.069626
Schlumberger	0.06958
NEC	0.0693997
Intel	0.069284
Opel	0.0691966
BellSouth	0.0690485
"Motorola Inc."	0.0690119
Cisco	0.0689319
))
("Bayer Leverkusen" (desc 5503.51) (sims
"Werder Bremen"	0.272344
"VfB Stuttgart"	0.257565
Kaiserslautern	0.246805
"Borussia Dortmund"	0.223927
"Borussia Moenchengladbach"	0.209883
"Bayern Munich"	0.204299
"Schalke @@"	0.201961
"Hertha Berlin"	0.198892
Schalke	0.184302
Leverkusen	0.178457
"Dynamo Kiev"	0.170637
"Rainer Schuttler"	0.168911
"Inter Milan"	0.164262
Duisburg	0.151433
"Partizan Belgrade"	0.150246
Besiktas	0.146894
"Real Madrid"	0.146755
"Celta Vigo"	0.144978
"Spartak Moscow"	0.138201
Brondby	0.136503
"Atletico Madrid"	0.132
"AC Milan"	0.129737
Panathinaikos	0.129022
"Barbara Rittner"	0.127818
"Shanghai Shenhua"	0.127561
"Slavia Prague"	0.125165
Olympiakos	0.125014
"Real Betis"	0.124465
"Sturm Graz"	0.124054
"Olympique Marseille"	0.123732
"PSV Eindhoven"	0.123321
Rosenborg	0.122962
"Tommy Haas"	0.121596
"Michael Stich"	0.121547
"Martin Schmitt"	0.12153
Juventus	0.121061
"Manchester United"	0.118788
"Nicolas Kiefer"	0.118209
"Galo Blanco"	0.11818
"Colo Colo"	0.115899
"FC Porto"	0.11556
Gremio	0.115102
"Newcastle United"	0.114383
"Boca Juniors"	0.113534
"David Prinosil"	0.113129
Rostock	0.112254
"Anke Huber"	0.112218
"Albert Portas"	0.111402
Porto	0.111192
Valencia	0.111147
"Hilde Gerg"	0.109427
"VfL Wolfsburg"	0.109368
Anderlecht	0.109126
"Real Sociedad"	0.108614
Feyenoord	0.108431
"Heike Drechsler"	0.1083
Ajax	0.108118
"Richard Fromberg"	0.107892
"Martina Ertl"	0.107607
"Guangdong Hongyuan"	0.107486
Cruzeiro	0.106895
"Gunda Niemann-Stirnemann"	0.106882
Internazionale	0.106568
"Athletic Bilbao"	0.105571
"Kinder Bologna"	0.103624
"Sparta Prague"	0.102783
"Hernan Gumy"	0.102061
"Dalian Wanda"	0.101914
"Sandra Voelker"	0.10123
"Guangzhou Apollo"	0.100472
Fiorentina	0.100306
Inter	0.0998541
corinthian	0.099297
Mallorca	0.0989381
Bundesliga	0.0983449
"Sichuan Quanxing"	0.0982637
Nacional	0.0976086
Udinese	0.097284
"Coventry City"	0.0971348
"Ajax Amsterdam"	0.0968261
Venezia	0.0966373
"Andrei Pavel"	0.0961889
"Olympiakos Piraeus"	0.0958312
Necaxa	0.0958031
"Tatiana Panova"	0.0957264
"AEK Athens"	0.0956863
Barcelona	0.0956363
Bastia	0.0955776
Freiburg	0.0955674
Auxerre	0.0955173
Wolfsburg	0.0951661
Dortmund	0.0950267
"Nicolas Escude"	0.0949017
"Franco Squillari"	0.0940199
Galatasaray	0.0939807
"Nottingham Forest"	0.0934531
Benfica	0.0930897
Parma	0.0929695
Zamalek	0.0929353
"FC Barcelona"	0.0928247
"Glasgow Rangers"	0.0927821
"Sergi Bruguera"	0.0923704
"Boris Becker"	0.092025
"Naoko Sawamatsu"	0.0919143
"Velez Sarsfield"	0.0916197
Bayern	0.0911992
"Arnaud Di Pasquale"	0.0911981
"Elena Likhovtseva"	0.0907869
"Alberto Berasategui"	0.0906928
"Ai Sugiyama"	0.0902661
"Red Star"	0.0902225
"Mariano Zabaleta"	0.0899416
"Paris St Germain"	0.0897216
Celta	0.0890189
"Catalina Cristea"	0.0890057
"Mikael Tillstrom"	0.0889581
"Sarah Pitkowski"	0.0888786
"Anne Kremer"	0.088781
"Sabine Appelmans"	0.0887298
"Arnaud Clement"	0.0886782
"Florencia Labat"	0.0882688
"Qingdao Hainiu"	0.0880208
Liverpool	0.0877183
"Mariano Puerta"	0.0876752
"Chinese Army"	0.0876468
"Nathalie Dechy"	0.0873348
Metz	0.0872986
Perugia	0.0871639
Salernitana	0.0871615
"Leeds United"	0.0871039
Sampdoria	0.0870162
"West Ham United"	0.0869854
"Jennifer Capriati"	0.0868864
"Vincent Spadea"	0.0868389
"Karim Alami"	0.0866737
"Asa Carlsson"	0.0864105
"Adrian Voinea"	0.086375
Torino	0.0862528
"Natasha Zvereva"	0.0860157
"Leicester City"	0.0858643
Fenerbahce	0.085704
"Francisco Clavet"	0.0853739
"Hicham Arazi"	0.0852437
"Jerome Golmard"	0.0852299
Piacenza	0.0847011
Heerenveen	0.0843179
"Cara Black"	0.0839724
"Guillaume Raoux"	0.0837937
"Javier Sanchez"	0.0834628
"Barbara Schett"	0.0834466
"River Plate"	0.0834408
"Erik Zabel"	0.0833832
"Magdalena Maleeva"	0.0831539
"Ruxandra Dragomir"	0.0827853
"Paola Suarez"	0.0827322
"Davide Sanguinetti"	0.0826719
"Joannette Kruger"	0.0825564
Obilic	0.0824436
"Wayne Black"	0.0823939
"Sebastien Grosjean"	0.0822878
"Andreas Vinciguerra"	0.0816896
"Aston Villa"	0.081652
"Filip Dewulf"	0.0816349
Penarol	0.0813115
Espanyol	0.081242
"Christian Ruud"	0.0810662
"Thomas Muster"	0.0805981
"Miriam Oremans"	0.0804429
"Magui Serna"	0.0803227
"Renzo Furlan"	0.0802977
"Axel Schulz"	0.0802749
"Younes El Aynaoui"	0.0801666
"Fernando Meligeni"	0.0800254
"Silvia Farina"	0.0799046
Monaco	0.0797947
Tenerife	0.0796847
Independiente	0.0794035
"Albert Costa"	0.0794003
Atletico	0.0793112
"Patty Schnyder"	0.0792306
Munich	0.0787944
"Heinz-Harald Frentzen"	0.0783514
"Jubilo Iwata"	0.0781973
"Guy Forget"	0.0781948
"Sebastien Lareau"	0.0781296
Middlesbrough	0.0780144
Betis	0.0780124
"Andrei Medvedev"	0.0779131
Spartak	0.0778332
"Sjeng Schalken"	0.0777387
"Andrea Gaudenzi"	0.0777252
"Steffi Graf"	0.0776313
"Carlos Costa"	0.0776182
"Marat Safin"	0.0774404
"Todd Woodbridge"	0.0774275
"Olga Barabanschikova"	0.0773862
"Ralf Schumacher"	0.0772853
Fulham	0.0772602
Empoli	0.0770932
"Jinan Taishan"	0.0767572
))
(Bayern (desc 4446.6) (sims
"Bayern Munich"	0.190944
Olympiakos	0.143989
"Schalke @@"	0.136702
Ajax	0.133037
Atletico	0.13242
"VfB Stuttgart"	0.13185
Schalke	0.128412
"Real Madrid"	0.12824
Shenhua	0.127868
Rosenborg	0.125558
Galatasaray	0.124409
"Borussia Dortmund"	0.123912
"Velez Sarsfield"	0.123747
Inter	0.122941
Palmeiras	0.122721
"Bradford City"	0.120585
Panathinaikos	0.120008
"Red Star"	0.119924
Brondby	0.118955
Gremio	0.117004
Leverkusen	0.115562
Necaxa	0.115547
"Dynamo Kiev"	0.114011
Benfica	0.113754
Rostock	0.113711
"Derby County"	0.113526
Spartak	0.112793
AEK	0.112393
"Olympiakos Piraeus"	0.11234
Betis	0.111847
MetroStars	0.111225
Obilic	0.110269
"San Lorenzo"	0.11017
Newcastle	0.108689
Besiktas	0.108254
"Partizan Belgrade"	0.10794
"Boca Juniors"	0.107835
Fiorentina	0.106938
"Coventry City"	0.106623
Kaiserslautern	0.106477
"Werder Bremen"	0.106075
Cruzeiro	0.106054
Udinese	0.105845
"VfL Wolfsburg"	0.105552
Feyenoord	0.104994
"PSV Eindhoven"	0.103833
Gustafsson	0.103072
"AC Milan"	0.102503
Fulham	0.102394
Boilermakers	0.10151
Ulihrach	0.101379
Dosedel	0.101377
Everton	0.101278
"River Plate"	0.101069
"Borussia Moenchengladbach"	0.100902
Anderlecht	0.0990249
Dortmund	0.0989533
Barcelona	0.0988655
Juventus	0.0988052
Boca	0.0987807
"Newcastle United"	0.098757
"Manchester United"	0.0981988
"Tar Heels"	0.0978271
Middlesbrough	0.0978108
"West Ham United"	0.097769
Wolfsburg	0.0976799
Wanda	0.0969607
Tottenham	0.0958238
Fenerbahce	0.0957003
Deportivo	0.0954975
Blackhawks	0.0944292
"Red Star Belgrade"	0.0934842
"Maple Leafs"	0.0929211
Chelsea	0.0927456
Edberg	0.0925015
"Leeds United"	0.0920192
"Red Wings"	0.0919558
"Atletico Madrid"	0.09159
sixer	0.0914889
"Team USA"	0.0914185
gamecock	0.0912101
"Bayer Leverkusen"	0.0911992
FC	0.0911908
terrapin	0.0911236
"Phenix City"	0.0906727
Porto	0.0903236
Capriati	0.0902833
Celta	0.0902471
"Leicester City"	0.0901556
Parma	0.0901473
Canadiens	0.0900041
Espanyol	0.0897631
"Sparta Prague"	0.0894768
Hongyuan	0.0889986
Perugia	0.0888957
"Ajax Amsterdam"	0.0887896
Av	0.0884072
Canuck	0.088239
Coetzer	0.0878009
Longo	0.0876939
Aggies	0.0875713
Wolfpack	0.0874961
"Horned Frogs"	0.0874882
Atalanta	0.0874271
Schalken	0.0869067
Minutemen	0.0869057
Penarol	0.0867496
Munich	0.0866936
Henman	0.0865198
Raoux	0.0860146
"Dalian Wanda"	0.0858805
"Athletic Bilbao"	0.0858202
Stuttgart	0.0856672
"Aston Villa"	0.0855677
Bayi	0.0855388
Liverpool	0.0853715
Polgar	0.085345
Nacional	0.085099
"Real Betis"	0.0848432
Lapentti	0.084502
"Jubilo Iwata"	0.0840138
Majoli	0.0837089
Stoltenberg	0.0836695
corinthian	0.0836488
Hokies	0.0834482
NAU	0.0834039
Cavs	0.0832951
"Shanghai Shenhua"	0.082953
"Olympique Marseille"	0.0827193
Pioline	0.0825372
"blue devil"	0.0825325
Hawkeyes	0.0824868
Rosset	0.0823076
wildcat	0.0821778
Safin	0.0818331
bearcat	0.0817653
"Tatiana Panova"	0.0815431
Enqvist	0.0814421
buckeye	0.0813502
"Guangzhou Apollo"	0.0810247
Makinen	0.0810023
Schett	0.0808413
Larsson	0.0807714
"Inter Milan"	0.0805714
Tarango	0.0801886
Huskers	0.0801036
Kafelnikov	0.0799847
Razorback	0.0795982
Salernitana	0.0794251
Mallorca	0.0793718
"FC Barcelona"	0.0792281
Bremen	0.079024
Auxerre	0.0790105
"D.C. United"	0.0789836
Likhovtseva	0.0789836
Corretja	0.0789615
Seminoles	0.0788692
Vasco	0.078775
Habsudova	0.0787543
Nicol	0.0786967
Meligeni	0.0781825
"Colo Colo"	0.078104
Jayhawks	0.0779739
"Kinder Bologna"	0.0777354
"Guangdong Hongyuan"	0.0774621
"Sturm Graz"	0.0774365
Unh	0.0772381
Valencia	0.0772293
bulldog	0.0771916
Bengals	0.0770966
"Seibu Lions"	0.0770373
Wilander	0.0770282
Zamalek	0.0769256
"Calgary Flames"	0.0768782
Prinosil	0.0768343
matador	0.0768017
Kashima	0.0767733
Springbok	0.076738
LSU	0.0767179
OSU	0.0767061
Roma	0.0767039
sabre	0.0766186
Hamburg	0.0765593
"Phoenix Mercury"	0.0765101
Sanchez-Vicario	0.0762106
Zaragoza	0.0761867
Kuerten	0.076145
Kiefer	0.0761243
Arsenal	0.0759763
Susanti	0.075965
"Los Angeles Galaxy"	0.0759272
Lareau	0.0758467
Stolle	0.0758422
cougar	0.0747967
Testud	0.0741251
AmericaOne	0.0740867
"Michael Chang"	0.0738993
"DPR Korea"	0.0737896
"Croatia Zagreb"	0.0736892
"Crimson Tide"	0.0736381
))
("Bayern Munich" (desc 14872.1) (sims
"Real Madrid"	0.279217
Juventus	0.237176
"Borussia Dortmund"	0.234305
"AC Milan"	0.226519
"Inter Milan"	0.218262
"Manchester United"	0.212835
"Bayer Leverkusen"	0.204299
Bayern	0.190944
Ajax	0.185071
Kaiserslautern	0.182956
"Aston Villa"	0.180416
"VfB Stuttgart"	0.176959
"Dynamo Kiev"	0.176583
"Schalke @@"	0.17378
"Werder Bremen"	0.173385
"Ajax Amsterdam"	0.17264
Galatasaray	0.172477
Panathinaikos	0.169732
Barcelona	0.169615
"PSV Eindhoven"	0.167395
"Olympique Marseille"	0.164219
"Atletico Madrid"	0.158283
Olympiakos	0.158067
"Spartak Moscow"	0.157106
Fiorentina	0.153583
"Borussia Moenchengladbach"	0.152983
Inter	0.146641
Valencia	0.144122
"Shanghai Shenhua"	0.142758
Benfica	0.141216
Middlesbrough	0.138158
Feyenoord	0.135996
Parma	0.135779
Liverpool	0.134367
Tottenham	0.133624
Schalke	0.133234
Anderlecht	0.13106
"Glasgow Rangers"	0.131042
"Newcastle United"	0.130998
Everton	0.129558
"Rainer Schuttler"	0.126892
"Hertha Berlin"	0.125995
"FC Barcelona"	0.125959
"Leeds United"	0.1254
Rosenborg	0.125063
"Dalian Wanda"	0.122584
Chelsea	0.121264
Porto	0.121221
Brondby	0.120856
"Nottingham Forest"	0.120213
"Sturm Graz"	0.117825
Mallorca	0.114283
"Boca Juniors"	0.113867
"Paris St Germain"	0.112844
Palmeiras	0.112241
"Tommy Haas"	0.111514
Newcastle	0.111513
"D.C. United"	0.11124
Arsenal	0.110758
Lazio	0.110666
"Anke Huber"	0.110205
corinthian	0.109873
Besiktas	0.108867
"Real Sociedad"	0.106908
Internazionale	0.106683
"Partizan Belgrade"	0.106616
"Athletic Bilbao"	0.106101
Auxerre	0.106095
Monaco	0.105419
Leeds	0.105192
Napoli	0.104979
"Kinder Bologna"	0.104055
"Martin Schmitt"	0.103384
"Celta Vigo"	0.102696
"David Prinosil"	0.102441
"Michael Stich"	0.102078
"Boris Becker"	0.101479
Udinese	0.100981
Fenerbahce	0.100629
"Nicolas Kiefer"	0.100609
"Croatia Zagreb"	0.100286
Cruzeiro	0.100011
"Ai Sugiyama"	0.0998644
"Dallas Burn"	0.0984295
Flamengo	0.0979149
"Steffi Graf"	0.0978816
"Chicago Fire"	0.0973588
Bundesliga	0.0961464
Blackburn	0.0958366
"River Plate"	0.0950983
Sampdoria	0.0944901
"Seibu Lions"	0.0940663
Necaxa	0.0939243
"Cedric Pioline"	0.0934274
Gremio	0.0932413
"Real Betis"	0.0930758
"VfL Wolfsburg"	0.0930407
"West Ham"	0.092774
"Barbara Rittner"	0.0916667
"Guangdong Hongyuan"	0.0913349
Nacional	0.0912519
"Conchita Martinez"	0.0911458
Zamalek	0.0908838
"Heike Drechsler"	0.0908507
Munich	0.0908188
"Red Star"	0.0905908
"Barbara Schett"	0.0905419
"Philadelphia Flyers"	0.0903283
Gama	0.0897739
"Jennifer Capriati"	0.0893674
"Slavia Prague"	0.0892141
"Dallas Stars"	0.0891655
"Galo Blanco"	0.0890622
"Carlos Moya"	0.0889989
"Martina Hingis"	0.0887313
"Yevgeny Kafelnikov"	0.0884945
"Buffalo Sabres"	0.0882512
"Monica Seles"	0.0881104
Rostock	0.0878916
"Leicester City"	0.08789
"Jana Novotna"	0.087729
Stuttgart	0.0876739
"Naoko Sawamatsu"	0.087608
"Velez Sarsfield"	0.0872919
"Goran Ivanisevic"	0.0872258
"Montreal Canadiens"	0.0869415
Leverkusen	0.0868982
"Thomas Muster"	0.0867228
Fulham	0.086706
"Maple Leafs"	0.0865795
Shenhua	0.0862892
"Mark Philippoussis"	0.086128
"Miami Fusion"	0.0858988
"Sergi Bruguera"	0.0858799
"Martina Ertl"	0.0857887
"Adrian Voinea"	0.0857804
"Team USA"	0.0857749
"Andrei Medvedev"	0.0856376
"Lindsay Davenport"	0.0855433
"Iva Majoli"	0.0855143
"New York-New Jersey MetroStars"	0.085213
Duisburg	0.0851403
"Michael Chang"	0.0849222
"Sandra Voelker"	0.0846817
Canadiens	0.0846625
"Kenneth Carlsen"	0.0845668
"Tottenham Hotspur"	0.0845509
"Red Star Belgrade"	0.0842378
"Sebastien Grosjean"	0.0840415
Penarol	0.0837796
"Detroit Red Wings"	0.0836647
"Jan-Ove Waldner"	0.0836113
"Jonas Bjorkman"	0.0833121
"Red Wings"	0.0831336
"Richard Krajicek"	0.0827919
Wolfsburg	0.0825812
"Coventry City"	0.0823345
MetroStars	0.0823135
Marseille	0.0823109
Celtic	0.0821105
"Los Angeles Kings"	0.0820603
"Sandrine Testud"	0.0819003
"Scott Draper"	0.0818364
"Dominique Van Roost"	0.0817693
"Natasha Zvereva"	0.0817542
"Patty Schnyder"	0.0816942
"Wayne Black"	0.0816839
"Mary Pierce"	0.0815515
"Katja Seizinger"	0.0815007
Denmark	0.0814958
"Todd Martin"	0.0814623
"Gustavo Kuerten"	0.0813642
Betis	0.0811934
"Guangzhou Apollo"	0.0810026
"Utah Jazz"	0.0809904
Dortmund	0.0808793
"Calgary Flames"	0.0808759
"Colo Colo"	0.0808337
"Arantxa Sanchez-Vicario"	0.0807125
"Marat Safin"	0.0806507
"Gunda Niemann-Stirnemann"	0.0806265
"Hernan Gumy"	0.0802997
Sunderland	0.0802762
"Nathalie Tauziat"	0.0802566
"Magdalena Maleeva"	0.0802551
"Albert Portas"	0.0802213
"Australian Mark Philippoussis"	0.0801813
Bastia	0.0800937
"Los Angeles Galaxy"	0.0800767
Independiente	0.0797486
"Magnus Gustafsson"	0.0794681
Spartak	0.079408
"Andre Agassi"	0.0794037
"Thomas Enqvist"	0.0793367
"Sparta Prague"	0.0792876
"Albert Costa"	0.0791722
"Toronto Maple Leafs"	0.0791556
Norway	0.0790339
"Elena Likhovtseva"	0.0789936
"Vancouver Canucks"	0.0789739
))
(Bayh (desc 1646.7) (sims
Biden	0.180098
Baucus	0.141802
Hollings	0.140583
Feingold	0.12992
Cleland	0.125193
Robb	0.12223
Lautenberg	0.121235
Breaux	0.115039
Kerrey	0.11196
Kerry	0.108468
Chevys	0.10736
Dodd	0.103213
Bridgestone	0.0929777
Heche	0.0920191
Pontiacs	0.0881328
Daschle	0.0872419
"Evan Bayh"	0.0869386
"Lynne Cheney"	0.0812202
Kajiyama	0.0795611
Rockefellers	0.0788596
Bridgestone/Firestone	0.0788081
Wellstone	0.0786418
G.M	0.0782098
Daimler-Chrysler	0.0775569
Moynihan	0.0773644
"John Edwards"	0.073078
Hoffa	0.0730397
Dukakis	0.072076
Ota	0.0714545
Gephardt	0.0699515
Nasser	0.0698436
Purcell	0.0697509
"Charles Robb"	0.0690989
Northup	0.0690776
MacKay	0.0675231
Rockefeller	0.0673026
Feuer	0.0667341
Bunning	0.0664184
Wyden	0.0657807
Chafee	0.0645413
Baugh	0.0643643
Rodionov	0.0638755
"Bob Graham"	0.0636688
"Joe Lieberman"	0.0634754
Bryan	0.0624043
Shaheen	0.0622189
Dorgan	0.0615079
Torricelli	0.0614796
Schumer	0.0611264
"Carol Moseley-Braun"	0.0604571
Fordice	0.0598358
"Bob Kerrey"	0.0597366
Taft	0.0595785
Feinstein	0.0593454
Conrad	0.0593321
Moseley-Braun	0.0590115
Easley	0.0584378
Hutchinson	0.0583598
Balaguer	0.0580244
Prabowo	0.0579937
"Council of Economic Advisers"	0.0575151
Sebaggala	0.0574205
Koch-Weser	0.0574148
Kostunica	0.0573291
Kagalovsky	0.0568575
Leahy	0.0557725
DeBartolo	0.0551331
Piccard	0.0546173
"Lee Hamilton"	0.054467
"Perez Balladares"	0.0541342
Ickes	0.0541097
Harkin	0.0541048
Generali	0.054041
Voinovich	0.0537954
Falco	0.0536948
Dodik	0.0536342
Opel	0.0534227
Goodrich	0.0533653
Nemtsov	0.0532247
Quayle	0.052875
"William Roth"	0.0528707
McGreevey	0.05272
R-Va.	0.0525434
Vasquez	0.0524156
Moscoso	0.0524059
Nader	0.0522857
R-Neb	0.052285
"Richard Cheney"	0.0518705
Eyadema	0.0517828
"Daniel Patrick Moynihan"	0.0516697
Moreno	0.051615
Nethercutt	0.0511891
Zamora	0.0511022
Grasso	0.0510663
"Gray Davis"	0.050991
Reiner	0.0508789
Noor	0.0508052
Ashcroft	0.050791
Supachai	0.0506185
Bambang	0.0504767
"Ernest Hollings"	0.0503793
Conte	0.0502452
"Lyndon B. Johnson"	0.0500591
Suarez	0.0499747
Sasser	0.0499219
Glendening	0.0498984
Vallone	0.0498548
"John Kerry"	0.0497777
Mullin	0.0496327
Katsav	0.0495708
Mellencamp	0.0495699
Granic	0.0495452
"Honda Motor Co."	0.0493716
"Russ Feingold"	0.0493298
Galindo	0.0488885
"Royal Bank"	0.0487638
Berenson	0.0487438
Fiorina	0.048707
"Joseph Lieberman"	0.0485871
McGraw	0.0484426
"Dale Jr."	0.0481648
Kawasaki	0.0478728
Lyman	0.0478698
Duisenberg	0.047853
AMC	0.0477676
Menino	0.04746
"Tom Vilsack"	0.0474531
"Jimmy Carter"	0.0473795
Mineta	0.0473474
Esposito	0.0472008
Merkel	0.0467857
Leslie	0.04666
Khannouchi	0.0466135
Vogts	0.0465124
Hinckley	0.0464747
Nateq-Nouri	0.0464546
Roush	0.0464307
spina	0.0463559
Guidry	0.0463388
Callahan	0.0461894
Baca	0.0461422
Sharpton	0.0458968
Bullard	0.0458795
Isakson	0.0458077
Rogan	0.0456373
Mauro	0.045622
"Dianne Feinstein"	0.0456198
Pfeiffer	0.0456073
"Barbara Boxer"	0.0455922
Kiriyenko	0.045551
Biffle	0.0453992
"Jim Hunt"	0.0453989
Abernathy	0.0453365
Piot	0.0452704
Kasparov	0.045197
Gilmore	0.0451319
Dorsett	0.0450665
Rhee	0.0449967
"Edward Kennedy"	0.0449643
Hagelin	0.0448853
Chabot	0.0448326
Pelosi	0.0447708
Murr	0.0447185
Montalvo	0.0446585
"Maturino Resendiz"	0.0445928
Davey	0.0445868
Rossello	0.0445412
Hagi	0.0444922
Tsai	0.0444659
Boyle	0.044313
Solis	0.04426
Madrazo	0.0442389
Kiareldeen	0.0442164
Checketts	0.0441841
Izetbegovic	0.0440954
Jenoff	0.0440759
Lindner	0.0439819
Buicks	0.0439702
Hirst	0.043924
Kasyanov	0.0438749
Machado	0.0438361
Yadav	0.0437009
Unilever	0.0436255
Thurmond	0.0436119
Djukanovic	0.0435481
"New Democrats"	0.0433978
Jager	0.0433873
Jarrell	0.0433804
Wilhelm	0.04337
RBA	0.043225
Turetzky	0.0432188
Millner	0.0432102
Caruso	0.0431855
Espinosa	0.0430459
"Sedrick Shaw"	0.0429938
Cooley	0.0428457
Hormel	0.0428116
Seymour	0.0425118
Beasley	0.0425112
Hallinan	0.0424188
))
(Bayi (desc 1373.95) (sims
Aoshen	0.37098
"Guangdong Hongyuan"	0.226291
Pegasus	0.199306
Hongyuan	0.177667
"Bayi Rockets"	0.143787
Jilin	0.142165
"Dalian Wanda"	0.141906
Susanti	0.137557
"Jubilo Iwata"	0.129739
"Blaine Wilson"	0.124962
Ulihrach	0.124513
"Jean-Philippe Gatien"	0.123665
"Rodney Eyles"	0.116249
Shenhua	0.116057
Zamalek	0.115714
"Paul Tergat"	0.115265
Panathinaikos	0.114772
"American Pete Sampras"	0.113565
"LA Lakers"	0.112795
Dosedel	0.111987
"Jeff King"	0.111536
Starzz	0.107908
Penarol	0.107675
"DPR Korea"	0.105998
Karlsson	0.105696
Obilic	0.105626
"Peter Rasmussen"	0.105198
"Jansher Khan"	0.104296
Jiangsu	0.104026
"Fatuma Roba"	0.103516
"Sargis Sargsian"	0.102355
"Beijing Ducks"	0.101896
Stoltenberg	0.10124
Olympiakos	0.100579
"Brooke Bennett"	0.100113
"Houston Comets"	0.100005
"Elena Berezhnaya"	0.0989494
"Wang Chen"	0.0983399
"Moses Tanui"	0.0982594
Nacional	0.0978444
"Kinder Bologna"	0.0972735
"Rainer Schuttler"	0.0968572
Edberg	0.0962517
"Kong Linghui"	0.095867
Palmeiras	0.0958617
Gremio	0.095319
Zhejiang	0.0949765
Fenerbahce	0.0942227
"Isao Aoki"	0.092169
"Khalid Khannouchi"	0.0917349
Spartak	0.0914442
"Michael Von Gruenigen"	0.091227
"Red Star"	0.0906568
"Anatoly Karpov"	0.0905988
"Anjelika Krylova"	0.090334
"Amy Frazier"	0.0903122
"Max Biaggi"	0.0902925
Longo	0.0896365
"Heryanto Arbi"	0.0894868
"River Plate"	0.0892243
Waldner	0.0890091
"Michael Doohan"	0.0887074
"Elvis Stojko"	0.0882734
"American Chanda Rubin"	0.0881038
"FC Barcelona"	0.0879668
"Olympiakos Piraeus"	0.0879083
"Dong Jiong"	0.0878431
"Shigeki Maruyama"	0.0877664
All-stars	0.0877308
"Fu Mingxia"	0.0876045
"Deon Hemmings"	0.0874386
Brondby	0.0873172
PAOK	0.0870801
"Xiong Ni"	0.0867153
"Oksana Kazakova"	0.0863596
Liaoning	0.0862558
"Filip Dewulf"	0.0857043
Bayern	0.0855388
Jinan	0.0854448
"Hale Irwin"	0.0853433
Schalken	0.0852762
"Taufik Hidayat"	0.0852729
"Peter Nicol"	0.0847226
"Tommi Makinen"	0.0845357
"Ai Sugiyama"	0.0843999
Haarhuis	0.0842762
"Barbara Schwartz"	0.0839878
"David Graham"	0.0837593
"Noureddine Morceli"	0.0833156
Boilermakers	0.0832378
corinthian	0.0827797
Wolfsburg	0.0827389
kayaker	0.082628
"Chicago Fire"	0.0824822
"Shanghai Shenhua"	0.0823988
"Maria Butyrskaya"	0.0821764
"Svetlana Khorkina"	0.0821332
"Camilla Martin"	0.0820849
"Boris Becker"	0.0820107
"Alexei Yagudin"	0.0819363
"Eddie Cheever"	0.0815681
"Gong Ruina"	0.0814255
"Gil Morgan"	0.0811278
"Ivan Pedroso"	0.0810145
"Pavel Tonkov"	0.0810022
panda	0.0809099
Independiente	0.0803524
"Arantxa Sanchez-Vicario"	0.0803485
"Liu Yong"	0.0802813
"Felix Savon"	0.0800264
Kashima	0.0799973
"Fernando Meligeni"	0.0796873
"Charles Austin"	0.0795866
Shandong	0.0795756
"Chen Lu"	0.0794896
"Saint Louis"	0.0792921
"Deng Yaping"	0.0792222
"Liselotte Neumann"	0.0790524
"Ivan Ivankov"	0.0789047
Besiktas	0.0788647
"D.C. United"	0.0788269
"Slava Dosedel"	0.0787147
"Zoran Primorac"	0.0784426
"Fiona May"	0.0784232
Leverkusen	0.0779772
"Real Betis"	0.0778677
Popov	0.0772972
Ottey	0.0772078
Majoli	0.0771374
"Susi Susanti"	0.0770965
Supersonics	0.0770933
cyclone	0.0769171
"Glasgow Rangers"	0.0766615
Springbok	0.0766365
"Boca Juniors"	0.0765819
wildcat	0.0765547
Puerta	0.0759716
"Beautiful Pleasure"	0.0757717
"Francisco Clavet"	0.0757332
Razorback	0.0755529
"Werder Bremen"	0.075469
"NBA All-Star"	0.0754245
Karpov	0.0752836
"Jason Stoltenberg"	0.074994
cougar	0.0749496
"Li Ju"	0.0747418
Mavs	0.0746976
Limoges	0.0745481
"Paola Suarez"	0.0744025
Benfica	0.0742567
"Ge Fei"	0.0738813
Lithuania	0.073709
Schalke	0.0733533
"Kenneth Carlsen"	0.0733453
"Jan-Ove Waldner"	0.0732329
"Thomas Muster"	0.0731421
"Claudia Poll"	0.0725305
Illini	0.0725254
"Annika Sorenstam"	0.0723481
"Ji Xinpeng"	0.0721719
"Mark Calcavecchia"	0.0721063
"Shandong Flaming Bulls"	0.0719897
"Dottie Pepper"	0.0719558
"Partizan Belgrade"	0.0719347
"Stacy Dragila"	0.0718329
"Albert Costa"	0.0718317
Meissnitzer	0.0718296
"Los Angeles Sparks"	0.0717198
"Svetlana Masterkova"	0.0717081
"Allen Johnson"	0.0715556
Guan	0.0715323
"Colin McRae"	0.0714638
"Northern Arizona"	0.0712629
"Irina Privalova"	0.0711983
"American Lindsay Davenport"	0.07086
Atletico	0.0708398
"Buster Douglas"	0.0708378
"Schalke @@"	0.0708301
"Conchita Martinez"	0.0706801
"Deportivo Coruna"	0.0704954
"Matt Kuchar"	0.0704111
Sugiyama	0.0703624
"Susie O'Neill"	0.0702188
"Abraham Olano"	0.0700671
"Wang Nan"	0.0700023
"Wang Yifu"	0.0700002
Schett	0.0699215
Samford	0.0698563
"Scott Sharp"	0.0697337
"Kimiko Date"	0.0695631
"Todd Eldredge"	0.0695436
Xavier	0.0694368
"Felix Mantilla"	0.0694116
"Peter Gade Christensen"	0.0692679
"Amy van Dyken"	0.0689736
"Joko Suprianto"	0.0687678
Hoya	0.0687673
"Magdalena Maleeva"	0.0685832
"Michael Chang"	0.0685621
"Leeward Islands"	0.0684625
))
("Bayi Rockets" (desc 2330.49) (sims
"Liaoning Hunters"	0.497138
"Beijing Ducks"	0.470234
"Guangdong Tigers"	0.46105
"Shanghai Sharks"	0.457097
"Shandong Flaming Bulls"	0.441791
"Guangdong Hongyuan"	0.208182
"Dalian Wanda"	0.176576
Bayi	0.143787
"Blaine Wilson"	0.139215
"Shanghai Shenhua"	0.138377
"Fatuma Roba"	0.135846
"Chinese Army"	0.134526
"Elena Berezhnaya"	0.131313
"Qingdao Hainiu"	0.130572
"Jansher Khan"	0.130153
"Ge Fei"	0.129526
"Houston Comets"	0.129118
"Jubilo Iwata"	0.12834
"Jeff King"	0.127743
"Heryanto Arbi"	0.125514
"Todd Eldredge"	0.124459
"Elvis Stojko"	0.119916
"Paul Tergat"	0.119676
"Fu Mingxia"	0.115799
"Moses Tanui"	0.115372
"Ivan Pedroso"	0.114373
"American Pete Sampras"	0.114193
"Max Biaggi"	0.113916
"Jean-Philippe Gatien"	0.113688
"Anatoly Karpov"	0.11364
"Deon Hemmings"	0.112981
"Chicago Fire"	0.112133
Susanti	0.111275
"Michael Doohan"	0.110725
"Irina Privalova"	0.110428
"Noureddine Morceli"	0.107849
"Kinder Bologna"	0.107591
"Brooke Bennett"	0.106334
"Rodney Eyles"	0.106
"Jinan Taishan"	0.104854
"Peter Rasmussen"	0.103955
"Svetlana Khorkina"	0.103674
"Dong Jiong"	0.103664
"Jan-Ove Waldner"	0.101564
"Maria Butyrskaya"	0.101426
"Michael Von Gruenigen"	0.100986
"Tommi Makinen"	0.0996918
"Alexei Yagudin"	0.0996261
"Olympiakos Piraeus"	0.099423
"Liu Yong"	0.0992927
Olympiakos	0.0987598
"Sichuan Quanxing"	0.0974392
"Kong Linghui"	0.096848
"FC Barcelona"	0.0963624
"Eddie Cheever"	0.0963282
"River Plate"	0.0962192
"Ye Zhaoying"	0.0957822
"Guangzhou Apollo"	0.0957465
"Oksana Kazakova"	0.0956356
"Johan Museeuw"	0.0950598
Ulihrach	0.094362
Palmeiras	0.0942148
Gremio	0.094082
"CHARLOTTE STING"	0.0939031
"Xiong Ni"	0.0928355
"Chen Lu"	0.0927088
"Charles Austin"	0.0926588
"Fiona May"	0.0909067
"Velez Sarsfield"	0.0906464
"Peter Nicol"	0.0906285
"Ajax Amsterdam"	0.0901212
"Deborah Compagnoni"	0.0899527
"Penny Heyns"	0.087227
"Claudia Poll"	0.0872161
"Raymond Floyd"	0.0870963
"Anjelika Krylova"	0.0870899
"Rainer Schuttler"	0.0869694
Zamalek	0.0863298
"Seibu Lions"	0.0863206
"Colin McRae"	0.0860435
"Isao Aoki"	0.0858199
"Gong Ruina"	0.0854382
"American Chanda Rubin"	0.0853316
"Peter Gade Christensen"	0.0852337
"Sargis Sargsian"	0.0852214
"Amy Frazier"	0.0846559
Nacional	0.0845146
corinthian	0.0844895
"Ivan Ivankov"	0.0844143
Karpov	0.0842387
"Wang Yifu"	0.084077
spikers	0.0840541
"Hale Irwin"	0.0838409
"Deng Yaping"	0.0827174
"Khalid Khannouchi"	0.0825518
"Stacy Dragila"	0.0821733
"Hermann Maier"	0.0821419
"Marie-Jose Perec"	0.0820778
"Michael Chang"	0.0820544
"Schalke @@"	0.081911
"Juli Inkster"	0.081378
kayaker	0.0812964
"Miguel Indurain"	0.0812904
"Kimiko Date"	0.0812635
"Gil Morgan"	0.0810724
"Pavel Tonkov"	0.0807006
"Zoran Primorac"	0.0800624
"Li Jiajun"	0.0799564
"Mia Audina"	0.0797048
"Svetlana Masterkova"	0.0796461
"Susi Susanti"	0.0793465
"Abraham Olano"	0.0787182
"American Lindsay Davenport"	0.0786782
"Boris Becker"	0.0786431
titlists	0.078624
Dosedel	0.0784877
"Martin Schmitt"	0.0781563
Stoltenberg	0.0781494
"Jimmy Connors"	0.0781273
"Allen Johnson"	0.0780184
"Buster Douglas"	0.0779599
"Alex Zanardi"	0.0777626
"Damon Hill"	0.0775063
"Thomas Muster"	0.0773619
"Marc Rosset"	0.0772689
"Iva Majoli"	0.0772242
"Jacques Villeneuve"	0.0770459
"Filip Dewulf"	0.0768964
"Yevgeny Kafelnikov"	0.0766538
"Camilla Martin"	0.0766452
Springbok	0.0764384
"Wang Nan"	0.0764192
"Li Ju"	0.0761701
"Kenny Brack"	0.0761701
"Wang Tao"	0.0761636
"Arantxa Sanchez Vicario"	0.0759148
"Magnus Gustafsson"	0.0756469
"D.C. United"	0.0755326
Shuwei	0.0754184
"Susie O'Neill"	0.0753881
"Roy Jones Jr."	0.0751407
"Arantxa Sanchez-Vicario"	0.0750313
"Monica Seles"	0.0749269
"MIka Hakkinen"	0.0746379
"Wang Chen"	0.0745269
"Derrick Adkins"	0.0743585
"Olin Browne"	0.0742319
"Felix Savon"	0.0740689
"Russian Yevgeny Kafelnikov"	0.0739611
"Phoenix Mercury"	0.0738414
"Ricky Subagja"	0.0737689
"Dottie Pepper"	0.0736993
"Denis Pankratov"	0.0736827
"Magdalena Maleeva"	0.0736236
"Lasse Kjus"	0.0735998
"Sandra Voelker"	0.0734408
"Chanda Rubin"	0.0733217
Longo	0.0729745
"Sjeng Schalken"	0.0726433
Penarol	0.072608
"Maria Mutola"	0.0723816
Kaiserslautern	0.0722053
"Liselotte Neumann"	0.0719044
"Ji Xinpeng"	0.0718216
"Werder Bremen"	0.0718099
"Francisco Clavet"	0.0708699
"Taufik Hidayat"	0.0708464
"Gary Player"	0.0708154
"Beijing Guo"	0.0707399
"Frank Nobilo"	0.0705053
Waldner	0.0701374
"Mary Pierce"	0.0699167
"Annika Sorenstam"	0.0698964
"Michelle Kwan"	0.0698645
"Tegla Loroupe"	0.0698621
"Mark Calcavecchia"	0.0697595
"Albert Costa"	0.0697031
"Jana Novotna"	0.0696853
Majoli	0.0693814
Shenhua	0.0692673
"Gunda Niemann-Stirnemann"	0.0691948
"Johnny Tapia"	0.0688534
"Yokohama Baystars"	0.0687691
"Kieren Perkins"	0.0686582
"Real Madrid"	0.0685452
Ottey	0.0684468
Bayern	0.0681673
"Shigeki Maruyama"	0.0681611
Independiente	0.0677913
"Katja Seizinger"	0.0677048
"NBA All-Star"	0.0676454
"Billy Boat"	0.0676295
Schalke	0.0675196
"Liu Guoliang"	0.0673867
"Goran Ivanisevic"	0.0672835
"Petr Korda"	0.066693
"DPR Korea"	0.0666574
"Glasgow Rangers"	0.0665629
"Jason Stoltenberg"	0.066431
"Real Betis"	0.0664051
))
(Baylor (desc 19814) (sims
"Texas Tech"	0.193118
"Oklahoma State"	0.18643
SMU	0.181975
Vanderbilt	0.181662
"Kansas State"	0.180563
Purdue	0.178206
"Iowa State"	0.177254
"Notre Dame"	0.17141
"Penn State"	0.171086
"Mississippi State"	0.170261
"Georgia Tech"	0.168314
Clemson	0.166424
LSU	0.165045
"Arizona State"	0.164685
Stanford	0.163902
"Virginia Tech"	0.162215
"Boston College"	0.161646
UNLV	0.160511
"San Jose State"	0.15936
Nebraska	0.159011
"San Diego State"	0.158928
"Oregon State"	0.158491
UCLA	0.15789
Rutgers	0.154875
"Ohio State"	0.154602
"Louisiana Tech"	0.150383
"Michigan State"	0.150291
"Wake Forest"	0.14569
"Fresno State"	0.144697
"Florida State"	0.144479
USC	0.143292
TCU	0.143263
"Washington State"	0.141906
Oklahoma	0.140457
"Seton Hall"	0.140331
ASU	0.140128
Syracuse	0.139513
Pepperdine	0.134593
"Southern Mississippi"	0.133795
Auburn	0.132567
"New Mexico State"	0.13181
Tulane	0.13154
"North Carolina State"	0.130671
northwestern	0.130418
Tennessee	0.127964
Duke	0.126996
ou	0.126996
BYU	0.126073
Villanova	0.125544
Oregon	0.124895
Kansas	0.12381
Kentucky	0.123057
Alabama	0.122926
Tulsa	0.122822
Cal	0.122639
Indiana	0.122435
CSUN	0.122306
Fordham	0.122277
UConn	0.11837
"East Carolina"	0.118322
Sooners	0.116983
wildcat	0.115509
"Cal State Northridge"	0.115237
Wisconsin	0.114361
Aggies	0.113178
Georgetown	0.113052
Arkansas	0.11218
Minnesota	0.110759
Alabama-Birmingham	0.110279
"Philadelphia Eagles"	0.110156
Colorado	0.109784
Bengals	0.109381
Michigan	0.108916
Boilermakers	0.107873
Gonzaga	0.107772
"Southwest Missouri State"	0.107666
UMass	0.10756
Eagles	0.106742
"Ball State"	0.1064
"Nevada-Las Vegas"	0.106393
"University of Houston"	0.106177
"Brigham Young"	0.106163
gamecock	0.105488
Arizona	0.105188
"Arkansas State"	0.105061
"Tampa Bay"	0.105045
"North Carolina"	0.104579
Georgia	0.104535
"West Virginia"	0.103964
Missouri	0.10304
Cornhusker	0.102983
"Georgia Southern"	0.102512
"Washington Redskins"	0.100373
Carolina	0.0998154
Steelers	0.0996439
bulldog	0.0993274
Miami	0.0990777
DePaul	0.0990693
Redskin	0.0989321
Longhorn	0.0987612
"University of Texas"	0.0981779
Pittsburgh	0.0978653
Gators	0.097539
"Colorado State"	0.0974204
Utah	0.0972833
FSU	0.0970889
BC	0.0965518
BEARS	0.0963427
"Green Bay"	0.0963241
UT	0.0962159
Xavier	0.0962032
Texas	0.0959534
UA	0.0956455
MetroStars	0.0955003
buckeye	0.0954938
Jacksonville	0.0954285
Trojan	0.0952913
"New York Jets"	0.0950478
Seahawks	0.0947525
Pitt	0.0946347
"Dallas Cowboys"	0.0945585
Maryland	0.0945299
Wyoming	0.094486
tech	0.0943675
"New Mexico"	0.0943211
"Minnesota Vikings"	0.0937658
"Chicago Bears"	0.0937596
"Cincinnati Bengals"	0.0933796
Hofstra	0.0933529
cougar	0.0933479
falcon	0.09329
"Red Raiders"	0.0929555
K-State	0.0929132
Giants	0.0928872
"Boise State"	0.0927904
Lobos	0.0925458
Huskers	0.0924802
NAU	0.0923627
"Appalachian State"	0.092243
Cincinnati	0.0921836
"Tar Heels"	0.0921351
OSU	0.0916732
"Indianapolis Colts"	0.091522
Louisville	0.091434
packer	0.091174
Seminoles	0.0908251
"Old Dominion"	0.0908055
husky	0.090804
"Utah State"	0.0907524
"Calgary Flames"	0.0905549
Iowa	0.0902195
"Texas Christian"	0.0902173
Razorback	0.089525
"University of Georgia"	0.0892274
"blue devil"	0.0889432
Florida	0.0888519
"Horned Frogs"	0.0887745
Wolfpack	0.0886763
panther	0.0882276
Denver	0.0881957
"Southern Cal"	0.0881946
"Boston University"	0.0879998
"North Texas"	0.0878412
"Louisiana State"	0.0877922
"New York Giants"	0.0876754
Illinois	0.0872113
Celtics	0.0870916
Princeton	0.087051
"Crimson Tide"	0.0869618
UGA	0.0868869
"St. John"	0.0868838
"Golden State Warriors"	0.0868756
"Holy Cross"	0.086774
"Weber State"	0.0867362
"St. Bonaventure"	0.0864453
Jayhawks	0.0862932
"Seattle Seahawks"	0.0859443
cardinal	0.0853935
matador	0.0853522
Mississippi	0.0852643
clipper	0.0851782
"Trail Blazers"	0.0851725
"University of Connecticut"	0.0851093
bronco	0.0850437
"Montana State"	0.0848204
Hawkeyes	0.0846632
"N.C. State"	0.0845321
Dallas	0.0844122
Cleveland	0.0841826
UW	0.0840326
"University of Miami"	0.0840149
"Idaho State"	0.0838289
Lakers	0.0837762
"Maple Leafs"	0.0835829
bruin	0.0834731
"Los Angeles Clippers"	0.082854
"Arizona Cardinals"	0.0825307
Detroit	0.0822947
"Golden State"	0.0822222
Vols	0.0821724
))
("Baylor College of Medicine" (desc 1831.08) (sims
"Harvard Medical School"	0.232084
"Memorial Sloan-Kettering Cancer Center"	0.210608
"Albany Medical Center"	0.183807
"Massachusetts General Hospital"	0.180546
"Washington University"	0.175067
"University of Pittsburgh"	0.17101
"Harvard School of Public Health"	0.16243
"Emory University"	0.157848
"Purdue University"	0.149027
"University of Rochester"	0.148941
"Baylor University"	0.147833
"Georgia State University"	0.14743
"Johns Hopkins University"	0.146372
"University of Toronto"	0.145384
"school of medicine"	0.142183
"University of Utah"	0.14198
"University of New Mexico"	0.139045
"Rockefeller University"	0.137943
"University of Washington"	0.131681
"Cleveland Clinic"	0.131615
"University of Kentucky"	0.130948
"Dana-Farber Cancer Institute"	0.122406
"University of Arizona"	0.122217
"University of Pennsylvania"	0.120993
"Kansas State University"	0.120094
"University of Iowa"	0.118507
"University of Florida"	0.118449
"Tufts University"	0.116936
"Duke University"	0.116223
"University of Hawaii"	0.116214
"Washington State University"	0.116017
"Iowa State University"	0.115052
"Mayo Clinic"	0.114975
CalTech	0.113719
"University of California"	0.113417
"Vanderbilt University"	0.113411
"Texas Tech University"	0.109792
"Temple University"	0.109577
"University of Wisconsin"	0.108597
"University of Illinois"	0.107753
"Rice University"	0.106807
"Johns Hopkins"	0.106361
"University of North Carolina"	0.105084
"Johnson Space Center"	0.103196
"Beth Israel Deaconess Medical Center"	0.102332
"University of Michigan"	0.102265
"Ohio State University"	0.1014
"University of Cincinnati"	0.101105
"Media Lab"	0.0993898
"Brandeis University"	0.0993565
"Colorado State University"	0.0992937
UCSF	0.0981558
"University of Chicago"	0.098015
"University of Virginia"	0.0974264
"University of Southern California"	0.0973977
Brigham	0.0965433
"Champions Golf Club"	0.0963983
"medical school"	0.0961637
"Brigham Young University"	0.0960579
"University of Kansas"	0.0959221
"Michigan State University"	0.0943232
"University of Oklahoma"	0.0938447
"Yale university"	0.0931357
"Fordham University"	0.0928125
"Carnegie Mellon University"	0.0924501
"Urban Institute"	0.0924207
"California Institute of Technology"	0.0921423
"University of Georgia"	0.091846
"National Cancer Institute"	0.0917652
"Boston University"	0.0913015
"Cornell University"	0.0912253
"University of Colorado"	0.091089
Dana-Farber	0.0903097
"McGill University"	0.0887206
"Auburn University"	0.0878818
"University of Minnesota"	0.0841388
"Dartmouth College"	0.0840885
"Florida State University"	0.0837236
"State University of New York"	0.082673
"Harvard Business School"	0.0826069
"George Washington University"	0.0810533
"National Institutes of Health"	0.0807754
"Princeton University"	0.0804536
"Stanford University"	0.0800059
"Texas Christian University"	0.0799794
"University of Connecticut"	0.0798969
"University of Massachusetts"	0.0797203
"Oxford University"	0.0772126
Emory	0.0768609
"Rutgers University"	0.0767425
"Wright-Patterson Air Force Base"	0.0763821
"University of Miami"	0.0761621
Cornell	0.0760547
"Methodist Hospital"	0.075911
"University of New Hampshire"	0.0759077
"Massachusetts Institute of Technology"	0.0757313
"Carnegie Endowment"	0.0750165
"North Carolina State University"	0.0749052
"UC Berkeley"	0.074471
"Mercy Hospital"	0.0741414
"Northwestern University"	0.0741002
"Graduate School of Business"	0.0736593
"Columbia University"	0.0735846
"University of Dayton"	0.0735313
MIT	0.07289
"University of Texas"	0.0727004
"City University of New York"	0.072625
"University of Oregon"	0.0719008
"Louisiana State University"	0.0717297
"Arizona State University"	0.0698262
"Pennsylvania State University"	0.0693409
"Smith College"	0.0689523
"Mission Control"	0.0686895
"Syracuse University"	0.068677
"University of Hong Kong"	0.0681362
"University of Nevada"	0.0678333
"Southern Methodist University"	0.0672968
"Mount Sinai Medical Center"	0.0667173
"Brown University"	0.0664073
"Harvard University"	0.0662525
"Kennedy School"	0.0661042
"San Francisco State University"	0.0656835
"Indiana University"	0.0653664
"Georgetown University"	0.0640521
"Amherst College"	0.0637969
"University of Missouri"	0.0637324
"Howard University"	0.0630635
"Florida International University"	0.0624257
NCI	0.0621244
UA	0.060898
UMKC	0.0606349
"Kennedy School of Government"	0.0591416
"University Hospital"	0.0591001
"John F. Kennedy School of Government"	0.0588412
"Bell Labs"	0.0584078
"Woods Hole"	0.0583836
"city university"	0.0582611
"University of Alabama"	0.0569511
"Hyatt Regency"	0.056809
"Beth Israel"	0.0567006
"Yale Law School"	0.056052
"University of Maryland"	0.0560017
UW	0.0559722
"Hebrew University"	0.0556317
"California State University"	0.0551975
"school of law"	0.0551014
"Mount Sinai"	0.0550152
"Kaiser Permanente"	0.0542304
"University of Maine"	0.0540929
"University of Arkansas"	0.0534403
"Harvard Law School"	0.05298
Geron	0.0529446
ex-convicts	0.0526998
Galleria	0.052368
"Freedom Forum"	0.0521085
"Cambridge University"	0.0518448
"Museum of Natural History"	0.0516432
"Lawrence Livermore National Laboratory"	0.0516418
CDC	0.0515417
"First Baptist Church"	0.0512735
"National Marine Fisheries Service"	0.0512664
"University of Rhode Island"	0.0507443
"Fudan University"	0.0503174
Mayo	0.0500211
"National Institute"	0.0499928
"Texas Air National Guard"	0.0499698
"St. Luke"	0.0499307
"American Enterprise Institute"	0.049911
"CHARLOTTE STING"	0.0495831
Fermilab	0.0492665
"Center for Strategic"	0.0491756
"Consumers Union"	0.0490505
"Health Department"	0.0489359
"M University"	0.0488488
"University of Nebraska"	0.0487242
SETI	0.0487101
"George Mason University"	0.0483539
"New York University"	0.0480581
"Brookings Institution"	0.0479396
"business school"	0.0471719
"Chinese University of Hong Kong"	0.0471674
CAS	0.0468183
"Natural Resources Defense Council"	0.0464911
COLTEC	0.0464563
"Simon Wiesenthal Center"	0.0463888
"American University"	0.0461901
"Hunter College"	0.0458901
WSU	0.0455177
Grady	0.0454452
UGA	0.045415
"Chinese Academy of Social Sciences"	0.0451986
"Council on Foreign Relations"	0.0450853
MGH	0.0450158
"Peking University"	0.0446752
"Development Research Center"	0.0444932
"Orange County Register"	0.0441995
Brandeis	0.0438698
"marriage license"	0.0437732
Britannica	0.0436024
tuft	0.0433371
))
("Baylor University" (desc 1630.14) (sims
"Georgia State University"	0.197456
"Rice University"	0.195205
"Kansas State University"	0.193111
"Vanderbilt University"	0.18833
"Florida State University"	0.17643
"San Francisco State University"	0.172807
"University of Pittsburgh"	0.168008
"University of Kansas"	0.161284
"Smith College"	0.159862
"University of Oklahoma"	0.158618
"Temple University"	0.14842
"Baylor College of Medicine"	0.147833
"Brigham Young University"	0.146244
"University of Georgia"	0.142021
"University of Dayton"	0.139412
"University of Notre Dame"	0.139396
"University of Kentucky"	0.139243
"Yale Law School"	0.138436
"George Washington University"	0.138326
"Northwestern University"	0.137962
"Catholic University"	0.136513
"Barnard College"	0.135936
"Texas Christian University"	0.135624
"Brown University"	0.134531
"Emory University"	0.132925
"Brandeis University"	0.131115
"Boston University"	0.129832
"New York University"	0.129489
"Arizona State University"	0.128332
"Columbia University"	0.127443
"University of Pennsylvania"	0.125376
"University of New Mexico"	0.123984
"Georgetown University"	0.123792
"London School of Economics"	0.123644
"University of Utah"	0.122843
"University of Maryland"	0.121943
"Northeastern University"	0.121223
"Fordham University"	0.11991
"Yale university"	0.119406
"Indiana University"	0.118903
"Syracuse University"	0.118484
"University of Florida"	0.117274
"University of Southern California"	0.116339
"Texas Tech University"	0.115503
"University of Texas"	0.114261
"University of Chicago"	0.113734
"Williams College"	0.112922
"University of Toronto"	0.112708
"University of Iowa"	0.112188
"Harvard Law School"	0.111992
"Queens College"	0.111709
"George Mason University"	0.110828
"Washington University"	0.109261
"Harvard University"	0.109134
"Hebrew University"	0.108699
"Dartmouth College"	0.107927
"Howard University"	0.107892
"Southern Methodist University"	0.107874
"Auburn University"	0.107089
"University of Minnesota"	0.105189
"American University"	0.104743
"Iowa State University"	0.1043
"Kennedy School"	0.104176
"Hofstra University"	0.102964
"University of Arkansas"	0.102205
"University of Virginia"	0.101941
"University of Michigan"	0.101712
"Tufts University"	0.100635
"University of Wisconsin"	0.0996758
"Cambridge University"	0.0996052
"University of Missouri"	0.0995787
"University of New Hampshire"	0.0988663
"University of North Carolina"	0.0986221
Brandeis	0.0985973
"Harvard Business School"	0.0981121
"U.S. Naval Academy"	0.0975651
"Stanford University"	0.0957232
"University of South Carolina"	0.0946696
"Harvard College"	0.0946272
"University of Mississippi"	0.0943839
"Qinghua University"	0.0934794
"Beijing University"	0.0932191
"Louisiana State University"	0.092453
"University of Tennessee"	0.0921848
"University of Nebraska"	0.0920593
"Cornell University"	0.0918771
"Carnegie Mellon University"	0.0913314
"Harvard Medical School"	0.0910863
"Wright State University"	0.0910365
"Purdue University"	0.0909482
"University of Massachusetts"	0.0905593
"University of Washington"	0.0905343
"University of Houston"	0.089591
"University of Illinois"	0.089351
"Ohio State University"	0.0891849
Korean-American	0.0889812
"Nanjing University"	0.0888711
"UC Berkeley"	0.0888582
"University of Rochester"	0.0885812
"Duke University"	0.0882529
"Wharton School"	0.0882051
"Michigan State University"	0.0879263
"California State University"	0.0872122
"Colorado State University"	0.0863887
"University of Zimbabwe"	0.0859762
"Chinese University of Hong Kong"	0.0859022
"State University of New York"	0.0849005
"University of Cincinnati"	0.0848634
"community college"	0.0843514
"University of Arizona"	0.0840838
"North Carolina State University"	0.0840571
"Hunter College"	0.083659
"Wake Forest University"	0.0835083
"University of Hawaii"	0.082722
"city university"	0.0826626
Dartmouth	0.0824936
"College of Charleston"	0.0822102
"City University of New York"	0.0821149
"Washington State University"	0.0818596
"Pennsylvania State University"	0.0813685
"University of Colorado"	0.0810233
"Tehran University"	0.0809869
MIT	0.0808332
"University of Miami"	0.0801846
"Trinity College"	0.0799261
"Massachusetts Institute of Technology"	0.0799057
UCSF	0.0794869
"Peking University"	0.0781025
Yale	0.07809
"University of Hong Kong"	0.0774564
UMKC	0.0774338
"Princeton University"	0.0772079
"Johnson Space Center"	0.0762138
"Fudan University"	0.0760931
"Oxford University"	0.0758748
"Rutgers University"	0.0754466
"Amherst College"	0.0746093
"McGill University"	0.0727831
Emory	0.0722862
"Georgia State"	0.072194
UC	0.0714392
Bu	0.0712822
"M University"	0.0708766
"Johns Hopkins University"	0.0708752
"University of Oregon"	0.0706232
"University of California"	0.0703419
ophthalmology	0.0693089
"Makerere University"	0.0684922
seminary	0.0677044
CUNY	0.067702
"City College"	0.0675524
Princeton	0.0673687
"University of Connecticut"	0.0672101
"Albany Medical Center"	0.0671515
CalTech	0.0671028
"University of Nevada"	0.0664887
"Methodist Hospital"	0.0658562
"teachers college"	0.0653336
"West Point"	0.0652557
"Wesleyan University"	0.0649475
Hirst	0.0646974
criminology	0.0638578
"electrical engineering"	0.0631907
"Mission Control"	0.0631441
"school of law"	0.0628303
"mechanical engineering"	0.0627821
"Beth Israel Deaconess Medical Center"	0.0626585
Cornell	0.0619351
"comparative literature"	0.0616882
"Dana-Farber Cancer Institute"	0.0614157
"Champions Golf Club"	0.0613611
"Electronic Frontier Foundation"	0.0607313
"University of Alabama"	0.0607188
"Florida International University"	0.060368
NYU	0.0603454
"Holy Cross"	0.0602385
CASS	0.0596893
"chemical engineering"	0.0596435
"National Autonomous University"	0.0594496
"Cooper Union"	0.059407
"air force academy"	0.0582938
"biological science"	0.0582329
"Juilliard School"	0.0581754
"Central High School"	0.0579392
pharmacology	0.0579179
"Seton Hall University"	0.0575127
UT	0.0570854
"New York City schools"	0.0564033
Radcliffe	0.0563296
KU	0.0561868
IU	0.0557809
"Cal State Northridge"	0.055168
zoology	0.0547102
UNC	0.0544343
Vanderbilt	0.0538936
"Mount Sinai"	0.0528279
anthropology	0.0526113
"Rockefeller University"	0.0522305
biochemistry	0.051954
"school of medicine"	0.0517648
))
(bayonet (desc 3312.93) (sims
machete	0.153266
"submachine gun"	0.144702
silencer	0.141971
machine-guns	0.140922
musket	0.130096
knife	0.126247
"automatic rifle"	0.125273
"hand grenade"	0.124521
pistol	0.124304
"baseball bat"	0.120656
shotgun	0.118838
"hunting knife"	0.117619
screwdriver	0.114163
revolver	0.113513
spear	0.112375
"machine gun"	0.111507
Grenade	0.111206
rifle	0.108089
sickle	0.104105
launcher	0.102991
sword	0.100876
nightstick	0.100853
ax	0.100096
"sawed-off shotgun"	0.0993123
"rocket launcher"	0.0975064
"paring knife"	0.0929054
carbine	0.0911267
Cleaver	0.0890138
dagger	0.0857607
chainsaw	0.0855331
truncheon	0.0839725
axe	0.0793447
handgun	0.0786665
baton	0.0771433
ammunition	0.0750042
mortar	0.0708768
slingshot	0.0688511
"rate of exchange"	0.0684734
syringe	0.0681451
firearm	0.0674031
"tear gas"	0.06704
"gasoline bomb"	0.0670182
"bowling ball"	0.0652693
cartridge	0.0647656
hatchet	0.0639424
arrowhead	0.0638725
AK-@@	0.0634486
arrow	0.06284
bazooka	0.0615281
detonator	0.0592295
shrapnel	0.058678
pickax	0.0583408
"explosive device"	0.0578597
paintbrush	0.0558215
"heavy weapon"	0.0548906
pitchfork	0.0546209
"yellow light"	0.0533751
"radio set"	0.0527901
scissors	0.0526917
"water cannon"	0.0526535
"razor blade"	0.0526416
"Molotov cocktail"	0.0525762
casing	0.0524364
weaponry	0.0519931
"bulletproof vest"	0.0516372
holster	0.0515272
"grocery bag"	0.05133
"hockey stick"	0.0510759
munition	0.0509265
"chain saw"	0.050753
"cluster bomb"	0.050197
saber	0.0501921
"hypodermic needle"	0.0494006
handcuffs	0.0492259
machineguns	0.0490587
crowbar	0.0487455
"ski mask"	0.0487274
racquet	0.0485777
hyphen	0.0483138
dynamite	0.0477913
"fishing rod"	0.0471731
"walking stick"	0.0467969
plunger	0.0464395
broom	0.0462386
pliers	0.0462372
Tomahawk	0.0458298
two-by-four	0.0458068
"garden hose"	0.0453699
walkie-talkie	0.0452371
megaphone	0.0450522
stethoscope	0.0450001
"poison gas"	0.0447485
"fishing net"	0.0446942
M-@@	0.0442269
"personnel carrier"	0.043961
gunpowder	0.043959
"cutting board"	0.0438589
binocular	0.0431979
"speeding ticket"	0.04319
goggles	0.0426907
cellphone	0.042603
"lawn mower"	0.0420156
drumstick	0.0416742
Lance	0.0412331
broomstick	0.0411213
"fly rod"	0.0409182
harpoon	0.0408958
scalpel	0.0408348
Magnum	0.0400368
))
(Bayonne (desc 2136.55) (sims
Paterson	0.155023
Wildwood	0.144976
Hoboken	0.144866
Camden	0.129167
TRENTON	0.12687
"Cherry Hill"	0.118882
Posoltega	0.117864
"Union City"	0.113529
"Port Elizabeth"	0.111666
Nago	0.10354
"East Orange"	0.101707
Newark	0.0976197
Morristown	0.0942773
"Ocean City"	0.0941774
Burlington	0.0926848
Rafah	0.0918019
Chamonix	0.0914569
Montclair	0.0914383
Novosibirsk	0.0907062
Westfield	0.0903741
"West Orange"	0.0885575
Woodbridge	0.0882366
Kandy	0.0873193
Golcuk	0.0866817
Blackpool	0.0865076
Matamoros	0.0859936
"Ciudad Juarez"	0.085623
Clifton	0.0852795
Bloomfield	0.0843657
Grenoble	0.0838467
Matadi	0.0833526
Toulon	0.08264
LAKEWOOD	0.0821414
Chatham	0.081555
Malaga	0.0815043
Juarez	0.0799003
Lhokseumawe	0.0798737
"TOMS RIVER"	0.0794306
Cacak	0.0792841
Diyarbakir	0.0790017
Beersheba	0.0789212
Bergen	0.0784068
Somerville	0.0783097
Rockport	0.0779194
"Monmouth County"	0.0777672
Hyderabad	0.0775976
Rennes	0.0775513
Irvington	0.0770046
Samara	0.0763959
Ashkelon	0.0761566
Zhangzhou	0.0761387
Dijon	0.0760383
Aachen	0.0753273
Ridgewood	0.075296
Avignon	0.075296
Stamford	0.0748935
Izmit	0.0748832
Bridgewater	0.0744855
Lubbock	0.0743343
Casas	0.0741844
Laredo	0.0735454
Bulawayo	0.0729905
Baalbek	0.0729862
Secaucus	0.0728613
Englewood	0.0728361
Taba	0.0725705
NIS	0.0724257
Sparta	0.0723089
Izmir	0.0722986
"San Cristobal"	0.0722787
"Fort Lee"	0.0722445
Tijuana	0.0720954
Xian	0.0720312
Gudermes	0.0718952
Kizlyar	0.0718455
Bamiyan	0.0716666
Lyon	0.0714866
Golmud	0.0714246
Waterbury	0.0713961
Jalalabad	0.0710866
Lille	0.0710664
Kisumu	0.0710534
Vladivostok	0.0707034
Ibadan	0.0705653
Verona	0.0701659
"Sussex County"	0.0699358
"New London"	0.0695846
Hackensack	0.0694664
Baotou	0.0692173
Mostar	0.0689994
Middlesex	0.0684854
Weimar	0.0680885
Vukovar	0.0680198
Chester	0.0678283
"Saratoga Springs"	0.0677917
Datong	0.0676579
Anshan	0.0674816
Chengde	0.0674765
Ensenada	0.0670272
Antalya	0.0667659
Montpellier	0.0667377
Aberdeen	0.0662931
Rockland	0.066143
Haicheng	0.0657559
Irbil	0.0657096
"San Pedro Sula"	0.0655714
Carmel	0.0655495
Toulouse	0.0653353
Pittsfield	0.0651633
Baoding	0.0650916
Nablus	0.0650627
"Quebec City"	0.0645645
Guayaquil	0.0645297
"New Haven"	0.0645039
Odessa	0.0644949
"San Lorenzo"	0.0644892
Metz	0.0644185
"South Bay"	0.0641951
Youngstown	0.0641527
Murmansk	0.0639486
"Kosovska Mitrovica"	0.0638999
Lyons	0.0638305
"Jersey City"	0.0637078
Prijedor	0.0636897
Weifang	0.0636352
"Bergen County"	0.0635646
"CHIANG MAI"	0.0634823
Srbica	0.0634291
Marjayoun	0.063279
Pusan	0.0632307
Rutherford	0.0631485
Bridgeport	0.063134
Sochi	0.063129
Utica	0.062769
Pereira	0.062593
Somerset	0.0625159
Poughkeepsie	0.0622808
Medellin	0.062196
TEGUCIGALPA	0.0620298
Catania	0.061991
Krakow	0.0617713
Brockton	0.0617699
Calais	0.0616135
"Del Rio"	0.06148
Zhangjiajie	0.0614564
Christchurch	0.0613782
Manado	0.0611991
Luoyang	0.060891
Vilnius	0.060887
Lianyungang	0.0605623
Mosul	0.0605353
Dundalk	0.0603671
"Grand Forks"	0.0603412
Sapporo	0.0603381
Acapulco	0.0603312
"Mount Pleasant"	0.0602555
"Santa Ana"	0.0600518
Strasbourg	0.0600322
Juba	0.0599918
Karbala	0.0598946
Cochabamba	0.0597351
Davao	0.05968
Yichang	0.0596607
Halle	0.0595377
Palmdale	0.0594119
Limoges	0.0593978
Dandong	0.0593486
Durres	0.0593178
Nazareth	0.0592927
Najaf	0.059252
Dunkirk	0.0590609
Brewster	0.0589882
Aswan	0.0589791
Hillsboro	0.0589446
Cebu	0.0586494
Walkerton	0.0586439
Pancevo	0.0586132
Nagasaki	0.0586102
"Exposition Park"	0.0582963
Bushehr	0.0580197
"East Rutherford"	0.0579899
Pompeii	0.0579067
Sihanoukville	0.0578883
Hamburg	0.0577752
Vladikavkaz	0.0577518
Ithaca	0.0575794
Williamstown	0.0575678
Medford	0.0575075
Tokaimura	0.0573546
Princeville	0.0572591
Monterrey	0.0572278
Trincomalee	0.0571315
"Kosovo Polje"	0.0570373
Fairfield	0.0569668
Lawrenceville	0.0568711
Xuzhou	0.0568198
"Shenzhen City"	0.0567829
Bangor	0.0565876
Multan	0.0564766
Turin	0.0564115
))
(bayou (desc 5300.38) (sims
swamp	0.0890601
ravine	0.0818532
Marsh	0.0771061
"Potomac River"	0.0746456
wetlands	0.0713899
marshland	0.0645875
"Billy Tauzin"	0.063505
Creek	0.0630476
Wetland	0.0625044
estuary	0.0624833
"Lake Ontario"	0.062169
"San Francisco Bay"	0.0580927
lagoon	0.0570004
"North Sea"	0.0569278
backwoods	0.056437
prairie	0.0546187
Seine	0.0521706
"Gulf of Mexico"	0.051009
"Lake Erie"	0.0505021
"Songhua River"	0.0501691
Euphrates	0.0500185
tundra	0.0497276
pasture	0.0491559
"Bay of Bengal"	0.0482795
Adirondacks	0.0480837
"Mekong River"	0.0474473
"John Breaux"	0.0469852
"Mississippi River"	0.0461559
cornfield	0.0460531
woodland	0.0458991
"Black Sea"	0.0456994
"hot spring"	0.0434565
"Manila Bay"	0.0434366
"Red River"	0.043413
bog	0.0431459
underbrush	0.0428821
tributary	0.0427961
backwater	0.0423454
meadow	0.0420167
Everglades	0.0418164
"Colorado River"	0.0416505
glade	0.0414383
"Missouri River"	0.0408423
"Lake Victoria"	0.0406153
"trash bin"	0.0405517
"North Atlantic"	0.0403858
junkyard	0.0403324
))
(Bayreuth (desc 1511.57) (sims
Spoleto	0.0840931
Salzburg	0.0803184
"Beijing Opera"	0.067803
Edinburgh	0.0651629
"Ballet Theater"	0.064874
"Royal Shakespeare Company"	0.0611516
Williamstown	0.0600481
"Radio City"	0.0600405
"City Ballet"	0.0592287
Fez	0.0534721
Lilith	0.0532417
"City Opera"	0.0527434
Stratford	0.0527136
Opry	0.0527047
Masur	0.0509647
"St. Mark"	0.0492691
Innsbruck	0.0486662
Provincetown	0.0486169
"New London"	0.0476142
Babylon	0.0474301
cirque	0.0460419
"key rate"	0.0449843
Berkshires	0.0431393
"Gilbert and Sullivan"	0.0429752
Kirov	0.0429535
"Lincoln Center Theater"	0.0422341
Potomac	0.0422189
Montpellier	0.0415891
"Strategic Petroleum Reserve"	0.041514
Thomasville	0.0414168
"New York City Ballet"	0.0413837
"coal gas"	0.0406588
Oxnard	0.0406251
JVC	0.0404203
))
(Baywatch (desc 3635) (sims
"Brady Bunch"	0.155472
"Melrose Place"	0.150195
"Star Trek"	0.144023
E.R	0.142577
"Murphy Brown"	0.14242
"NYPD Blue"	0.130642
Seinfeld	0.120569
"Twin Peaks"	0.118084
"Law &AMP; Order"	0.116574
"Twilight Zone"	0.114575
Frasier	0.108396
"Ally McBeal"	0.101946
"Drew Carey Show"	0.0990426
"Nash Bridges"	0.0980223
er	0.0975674
"Love Boat"	0.0975152
"Sesame Street"	0.0964182
"Chicago Hope"	0.0960888
Felicity	0.0943943
"silent movie"	0.092429
"The Sopranos"	0.0924131
"Jerry Springer Show"	0.0921875
"Next Generation"	0.0908585
mash	0.0906507
"Jerry Springer"	0.0905106
"Spin City"	0.0891835
"Night Live"	0.088995
"Home Improvement"	0.0887748
"Late Show"	0.0848724
"Third Watch"	0.0846893
"South Park"	0.084665
"Love Lucy"	0.0841202
Buffy	0.081699
Cosby	0.0810383
"Masterpiece Theater"	0.0807703
Simpsons	0.0802051
lassie	0.076058
"soap opera"	0.074836
ECW	0.073894
honeymooner	0.0730136
dragnet	0.0724448
Gunsmoke	0.0722377
Latina	0.0712912
Xena	0.0691698
"Politically Incorrect"	0.0689431
Porn	0.0681697
"Will &AMP; Grace"	0.0679926
Sleepwalking	0.0677149
"Monty Python"	0.0673098
"Home Run Derby"	0.0672972
"Everybody Loves Raymond"	0.0665
rawhide	0.0662566
"Cosby Show"	0.0653475
Moesha	0.0645525
Falcone	0.0642339
"West Wing"	0.0629177
NOVA	0.0624664
"Texas ranger"	0.0610391
jag	0.0607741
"Dateline NBC"	0.060401
"Full Monty"	0.0603205
Futurama	0.0597245
Porno	0.0592126
"TV show"	0.0591824
"Lone Ranger"	0.0588421
"Inside Edition"	0.0579083
X-Files	0.0577384
soap	0.0577335
"Kung Fu"	0.0572007
"Who Wants"	0.0570153
"television show"	0.0569037
Ellen	0.056234
"variety show"	0.0561932
"motion picture"	0.0557265
"Good Morning America"	0.0551366
"Mary Tyler Moore Show"	0.055036
"Jenny Jones Show"	0.0550291
Nightline	0.0547558
"Star Wars"	0.0547375
"news show"	0.0545726
"Suddenly Susan"	0.053626
"James Bond"	0.0534287
miniseries	0.0528244
"Rat Pack"	0.0526541
"Forrest Gump"	0.0523701
Rugrats	0.0520212
"Lethal Weapon"	0.0519936
newsmagazine	0.0518409
Sabrina	0.0517464
Mega	0.0515149
frontline	0.0511761
Zorro	0.0511729
Dilbert	0.0507358
infomercial	0.0506839
"game show"	0.0495882
Creek	0.0495857
striptease	0.0494563
"hard copy"	0.0494089
Spenser	0.0494031
"American Pie"	0.049113
"Big Brother"	0.0490103
septuagenarian	0.0489827
"Bill Moyers"	0.0488733
"Food Network"	0.048847
"Mary Tyler Moore"	0.0483392
Flintstone	0.0481159
Dharma	0.0480756
Providence	0.0479991
KFC	0.0479457
"Family Guy"	0.0478362
Babylon	0.0476714
NewsHour	0.0474894
Superman	0.0474398
"Mod Squad"	0.0470247
"situation comedy"	0.0468643
SportsCenter	0.0467456
"Blair Witch Project"	0.0465484
"Hollow Man"	0.0457611
Dolittle	0.0456959
"musical comedy"	0.0456859
"Tonight Show"	0.0456732
Nitro	0.0452172
"scarlet pimpernel"	0.0452026
DiCaprio	0.0451356
Springer	0.0447439
entrapment	0.0444652
"documentary film"	0.0444417
"Comedy Central"	0.0442592
"Lincoln Center Theater"	0.0441012
VH-@	0.0440852
Roseanne	0.0437854
"Happy Days"	0.0437443
"Today Show"	0.0436963
"Judi Dench"	0.0436585
"Dick Tracy"	0.0435729
Pleasantville	0.0434451
mini-series	0.0434022
"Beverly Hills"	0.0432016
wonderland	0.0431135
"Larry Sanders Show"	0.0430443
"Sports Night"	0.0428311
"True West"	0.0427983
"Texas longhorn"	0.0427644
"Early Show"	0.0427141
"television program"	0.0426396
"Mighty Joe Young"	0.0422601
serial	0.0422516
Teletubbies	0.0420325
"Jurassic Park"	0.0419539
Girlfight	0.041623
ragtime	0.0414178
"Tom Selleck"	0.0413982
"Saving Private Ryan"	0.0412793
C-Span	0.0409326
Oz	0.0408764
Malcolm	0.0408676
Batman	0.0408572
"Bugs Bunny"	0.0408297
coming-out	0.0407664
Beavis	0.0406928
avenger	0.0406126
"Beauty Queen"	0.0406014
"Kentucky Fried Chicken"	0.0405335
"Andy Griffith"	0.0405129
"Golf Channel"	0.0402779
GMA	0.0402406
))
(Baz (desc 1226.27) (sims
al-Baz	0.339346
el-Baz	0.293475
"Ahmed Tibi"	0.253179
Kasoulides	0.250779
"Abidine Ben Ali"	0.24778
Moratinos	0.238237
"David Bar-Illan"	0.229586
"Dore Gold"	0.204861
Meguid	0.195054
Abdel-Meguid	0.194095
"de Charette"	0.189911
Shara	0.186289
Khalifa	0.183708
Brahimi	0.183187
Ganzouri	0.178365
Saleh	0.178274
Nahyan	0.176376
Boueiz	0.173938
"Danny Yatom"	0.173628
Velayati	0.172079
Jayakumar	0.169697
Stoyanov	0.169344
Thani	0.167442
Kabariti	0.167041
al-Nahyan	0.163115
Shareh	0.162533
"Shelly Finkel"	0.161374
Rodionov	0.160417
Pickering	0.157746
Bashir	0.156959
Pangalos	0.155175
Komura	0.154327
Mahdi	0.15156
"Samuel Berger"	0.149288
Moussa	0.147051
Sharaa	0.146249
Majali	0.145554
Kostov	0.144203
al-Saud	0.143228
Azad	0.143098
Shamshad	0.142049
Sahnoun	0.141954
Ruehe	0.141892
Ikimi	0.141719
Maktoum	0.141678
Guterres	0.139938
Dini	0.139511
Ikeda	0.138834
Mercado	0.138808
"Gene Sperling"	0.138286
"Yitzhak Molcho"	0.137949
"Sandy Berger"	0.137566
Alatas	0.136768
Rifkind	0.136186
Kharrazi	0.136105
Nzo	0.13583
Muoi	0.133933
Hamad	0.133807
Insulza	0.133366
Vollebaek	0.133187
Granic	0.132779
Pustovoitenko	0.13172
Lipponen	0.131636
Zou	0.131044
al-Sahaf	0.129699
Constantinescu	0.129399
Akayev	0.128653
Karimov	0.128316
Cem	0.127453
Nasrallah	0.127072
Kyprianou	0.126656
Yastrzhembsky	0.126496
Shaath	0.126351
Holl	0.125802
Kono	0.125403
"Anthony Lake"	0.124406
Alarcon	0.123906
Phieu	0.123482
Sumaye	0.123263
Wolfensohn	0.123118
Tarawneh	0.122309
Al-Sabah	0.121846
Kok	0.121715
Sponeck	0.121082
Eizenstat	0.120578
Tsang	0.120549
Berri	0.120452
Jovanovic	0.120147
Juncker	0.11985
Klima	0.119347
Scalfaro	0.119338
Malu	0.118484
Ben-Ami	0.118115
Santer	0.118085
Hariri	0.117912
Aventajado	0.117645
"Zbigniew Brzezinski"	0.117185
Demaci	0.116611
"Karl Rove"	0.116006
Severino	0.115476
"Paul Begala"	0.115108
"Secretary General Esmat Abdul-Meguid"	0.114883
Zeroual	0.114442
Fernandes	0.114114
Deuba	0.113959
Mahmoud	0.112607
Singson	0.112186
"De Soto"	0.111859
Ogata	0.111856
Meles	0.110888
Stroyev	0.110779
Niyazov	0.11043
Fino	0.110322
"Bruce Teitelbaum"	0.109978
Fahd	0.109661
Iliescu	0.109525
Rong	0.109016
"Rahm Emanuel"	0.108497
al-Maktoum	0.107967
Mohamad	0.107495
Mkapa	0.107079
"Sergei Yastrzhembsky"	0.106311
"Karen Hughes"	0.10619
"Dennis Ross"	0.105753
"John Weaver"	0.105738
Sergeyev	0.105698
Siazon	0.105182
Luong	0.105044
Gurirab	0.104972
Ciampi	0.104754
Amin	0.104299
Sheikh	0.104196
Scharping	0.103891
Husseini	0.10386
Khai	0.103514
Zeng	0.102973
Tarrin	0.102795
Diouf	0.102115
"Robert Aventajado"	0.101967
"Secretary General Esmat Abdel-Meguid"	0.101913
Narayanan	0.101503
"Bob Shrum"	0.101086
Nazarbayev	0.100783
Leghari	0.100558
Abbas	0.100399
al-Khalifa	0.100295
Axworthy	0.100153
Grachev	0.100026
Gaddafi	0.0999541
Ahtisaari	0.0993302
Juma	0.0991798
Kamal	0.0991596
Hybl	0.0991249
Bizimungu	0.0988512
Nujoma	0.0980037
Vedrine	0.097784
Kwasniewski	0.0973788
Mikhailov	0.0973683
Mundo	0.0972241
Aziz	0.0968122
"Christopher Hill"	0.096022
al-Hariri	0.0958318
Khaddam	0.095614
al-Khatib	0.095596
Erekat	0.0955814
Juppe	0.0952822
Xanana	0.0952291
Brittan	0.0949683
al-Sahhaf	0.0947656
Khalid	0.094693
Wenger	0.0946606
Modise	0.0945876
Seleznyov	0.0944392
Waigel	0.0943888
Hassan	0.0943556
"Lakhdar Brahimi"	0.0942289
Manley	0.0935627
Soares	0.0933127
Muluzi	0.093019
Bedie	0.0927807
Hrawi	0.0926332
Arens	0.0925342
Al-Thani	0.0925241
"George Stephanopoulos"	0.0924941
Musa	0.0924317
Talbott	0.0923822
Yazdi	0.0923775
Vasile	0.0921224
"Bill Skate"	0.091997
Milo	0.0919709
Solana	0.0915703
Gowda	0.0914005
Kinkel	0.0913932
"Salim Saleh"	0.0913048
Ashrawi	0.0911544
"Amos Wako"	0.0910522
"Anatoly Chubais"	0.0907196
"Sheikh Saad"	0.0902615
Malan	0.0897826
Rudman	0.089565
))
(bazaar (desc 19293.2) (sims
Elle	0.15655
Mademoiselle	0.153611
"vanity fair"	0.134366
GQ	0.132922
vogue	0.119385
Esquire	0.117971
cosmopolitan	0.110594
"Rolling Stone"	0.0982983
Redbook	0.0938729
"Good Housekeeping"	0.0913766
Mirabella	0.0872594
"New Republic"	0.0851622
"Wear Daily"	0.0788518
"flea market"	0.0786155
magazine	0.0772191
"Weekly Standard"	0.075119
marketplace	0.072964
"shopping center"	0.0728247
glamour	0.072402
Cosmo	0.0716155
mall	0.0713705
Newsweek	0.0711282
"New York Times Magazine"	0.0710246
"TV guide"	0.0702343
"Saturday Evening Post"	0.0698049
salon	0.0665248
maxim	0.0652434
"bus station"	0.0650602
"shopping mall"	0.0647113
"Atlantic Monthly"	0.064678
mosque	0.0642191
"gambling casino"	0.0634995
fair	0.0621623
"Sports Illustrated"	0.0620874
arcade	0.0617897
"U.S. News"	0.0613149
cafe	0.0612229
"National Enquirer"	0.0603512
"Consumer Reports"	0.060175
"Entertainment Weekly"	0.0598233
weekly	0.0593569
stalls	0.0575034
gallery	0.0572274
plaza	0.0572163
Warehouse	0.05661
Encyclopedia	0.0562788
"train station"	0.0556342
"Village Voice"	0.0552962
synagogue	0.0543184
Digest	0.0542248
bookstore	0.0541039
"Business Week"	0.0539554
W	0.0535684
festival	0.053166
"department store"	0.0530149
"bus terminal"	0.0527869
"art gallery"	0.052473
storehouse	0.0523771
square	0.0521977
"New Yorker"	0.0521319
boutique	0.0520659
drugstore	0.0520575
Macworld	0.051998
"toy retailer"	0.0510345
"toy store"	0.0507848
mart	0.0503921
supermarket	0.0502808
"theatrical performance"	0.0499282
metropolis	0.0498634
garden	0.0496557
"gift shop"	0.0495763
"amusement park"	0.0495682
"railway station"	0.0495226
"grocery store"	0.0495113
directory	0.0494753
"post office"	0.049309
shrine	0.0493051
auction	0.0489258
Carnival	0.0488863
kiosk	0.0488379
"Advertising Age"	0.0487308
"theme park"	0.0486562
"New England Journal"	0.0483275
newsletter	0.0482001
emporium	0.0479659
outlet	0.047937
nursery	0.0478783
cemetery	0.0477703
publication	0.0477162
"National Geographic"	0.0477117
journal	0.0476593
thoroughfare	0.0476326
library	0.0476036
"gas station"	0.0475218
nightclub	0.0472589
attraction	0.0469484
"Daily News"	0.0466035
"World Report"	0.0464188
Enquirer	0.0462806
"office building"	0.0461383
catalog	0.0461256
"community center"	0.0459752
pageant	0.0457759
"coffee shop"	0.0454379
"bus stop"	0.045345
"Washington Post"	0.0452455
Tous	0.0452376
cinema	0.0451609
storefront	0.0448816
palace	0.0448622
"candy store"	0.044234
clinic	0.0440619
junkyard	0.0440463
garage	0.044038
tabloid	0.0440236
playground	0.043976
Vibe	0.0439671
"liquor store"	0.0438955
booth	0.0438661
oasis	0.0437502
"specialty store"	0.0433891
"publishing house"	0.0433027
teahouse	0.0432105
clearinghouse	0.0431672
bookshop	0.043117
slum	0.0431169
"house of worship"	0.0430623
"chain store"	0.0430323
dictionary	0.0430107
"main street"	0.0429706
hustler	0.0428378
"retail store"	0.0426333
workshop	0.0425871
"exhibition hall"	0.0425634
merchant	0.0425179
"parking lot"	0.0424996
"subway station"	0.0424245
pub	0.042419
"yellow pages"	0.0423564
Chinatown	0.042353
Cathedral	0.0423174
"boarding house"	0.0423005
gourmet	0.0422187
"travel agency"	0.0421689
cafeteria	0.0421268
brewery	0.042081
seventeen	0.0420802
"convenience store"	0.0420716
"hardware store"	0.0420393
"entertainment center"	0.0419719
Exposition	0.0418992
allure	0.0416583
Portal	0.0416462
playboy	0.0416287
"conference center"	0.0416062
"town hall"	0.0415642
"ghost town"	0.0415397
Monastery	0.0414575
destination	0.0414487
"jewelry store"	0.0413776
architecture	0.0413465
superstore	0.0412732
"red herring"	0.0412057
"movie theater"	0.0411701
showroom	0.0410117
pavilion	0.0409751
auditorium	0.0409031
motel	0.0407569
"USA TODAY"	0.0406303
"Philadelphia Inquirer"	0.0403711
edition	0.0402863
Harper	0.0402727
"business district"	0.0401239
"publishing company"	0.0400888
"city hall"	0.0400681
temple	0.0400604
))
(Bazar (desc 2474.48) (sims
Rajshahi	0.268732
Khulna	0.205554
Sylhet	0.190834
Batticaloa	0.159484
Arua	0.15274
Mbale	0.150733
Mbarara	0.148311
Kitgum	0.147392
Trincomalee	0.136054
Larnaca	0.121323
Bundibugyo	0.120971
Posoltega	0.120315
Kasese	0.119055
Gulu	0.118641
Kenema	0.107885
Vavuniya	0.102092
Paphos	0.101482
Kailahun	0.1005
Shali	0.100106
Nago	0.0986541
Urus-Martan	0.0986441
thana	0.0976052
Vedeno	0.091744
Taba	0.0901018
Gudermes	0.0897074
Kilinochchi	0.0866954
Galle	0.0845529
Moyo	0.0844949
lira	0.0835597
Chamonix	0.0829026
Ensenada	0.0778785
Kandy	0.0767098
Chittagong	0.0766772
Huangshan	0.0746928
Nakuru	0.0743831
dang	0.0730718
Limassol	0.072207
EPZs	0.0720918
Jalalabad	0.0714306
Izmit	0.0708874
Sihanoukville	0.0706578
Jaffna	0.0698135
Makeni	0.0697969
Beidaihe	0.0689385
Eilat	0.0688904
Bamiyan	0.0688298
Lijiang	0.0685332
Badme	0.0682167
Jinja	0.0678441
Uvira	0.0675863
Khost	0.066994
Decani	0.0669357
Marjayoun	0.066632
Haicheng	0.066425
"Kigoma Region"	0.0653195
"Grand Central"	0.0649873
Sochi	0.0647433
Kisumu	0.0646732
Taloqan	0.0645293
Vlore	0.0644544
Kizlyar	0.064226
Kukes	0.0641409
Mullaitivu	0.0641232
Jenin	0.0641086
Chengde	0.0635414
Talipao	0.0634324
Kigoma	0.0630153
Durres	0.0625658
Plata	0.0623539
Rafah	0.0608069
"San Marcos"	0.0601818
Mombasa	0.0599804
"Paradise Valley"	0.0599197
Moshi	0.0598919
Taizhou	0.0596813
Khabarovsk	0.0594526
"Puerto Vallarta"	0.0589378
Wildwood	0.0588026
el-Sheikh	0.0586978
Baalbek	0.0585903
Kalemie	0.0585639
este	0.0579674
Antalya	0.0577579
Zhangbei	0.0577228
Banff	0.0576165
"Chittagong Hill Tracts"	0.0573636
Zhangjiajie	0.0573488
Bengkulu	0.0564994
Golcuk	0.0562932
Pattaya	0.0562644
Malaga	0.0557574
Nabatiyeh	0.0554996
Kissimmee	0.055414
Dubrovnik	0.0553248
Gisenyi	0.0547334
Prijedor	0.0541106
Cavalese	0.0540792
"Old Town"	0.0540732
Baoding	0.0537426
Brcko	0.0532901
"first school"	0.0531357
Matamoros	0.0531013
ZHOUSHAN	0.0530008
Matadi	0.0529587
Jezzine	0.0528909
Baotou	0.0528305
Najaf	0.052673
Medina	0.0525872
Pailin	0.0525509
"Union Square"	0.0523668
Zhongshan	0.0522716
"San Pedro Sula"	0.0521583
LaGrange	0.0519373
Herat	0.0518991
"Victoria Falls"	0.0515893
CityWalk	0.0508248
"Novi Sad"	0.0505303
Lhokseumawe	0.0504501
"Far Eastern"	0.0502165
Sipadan	0.0501762
Nogales	0.0499572
Juba	0.0497441
McAllen	0.0495948
BRIGHTON	0.0492819
Merca	0.0492774
Blackpool	0.0488211
Laredo	0.0486432
Peachtree	0.0485602
Aswan	0.0484651
Liuzhou	0.04845
"Bay of Bengal"	0.0480731
Bukavu	0.0480521
Baidoa	0.0472476
Quetta	0.046929
"Port Moresby"	0.0469276
Jinzhou	0.0468794
Sheikh	0.04669
Ashkelon	0.0465809
Yangzhou	0.04626
Bogor	0.0462292
Melrose	0.0461522
Mankulam	0.0459717
Claremont	0.0459534
Zhangjiagang	0.0457203
"Rift Valley Province"	0.045711
"Suva Reka"	0.0457108
Kupang	0.0454924
Hempstead	0.0451411
Huambo	0.0450289
"Greek capital"	0.0448884
Atambua	0.044861
Peoria	0.0448604
export-oriented	0.0446244
Karan	0.0444182
Malisevo	0.0440382
NIS	0.0439093
Andulo	0.0438758
Warri	0.0437195
"Deer Valley"	0.0435575
Peterborough	0.0435224
Zakopane	0.0434278
Kabwe	0.0433381
Avignon	0.0433339
Leskovac	0.0432709
Kono	0.0432578
Zhangjiakou	0.0432306
Zhongguancun	0.0430455
Arad	0.0429512
Aqaba	0.0428841
"Russian capital"	0.0428316
"Del Rio"	0.0428135
Beira	0.0425913
Ibadan	0.0425438
"one school"	0.0425164
Irbil	0.04243
Dundalk	0.0423023
"Borough Park"	0.0422587
Kaliningrad	0.0422147
"Montego Bay"	0.0421188
"Port St. Lucie"	0.0420673
Shashi	0.0420418
Acapulco	0.0418341
Bayonne	0.0418141
Adana	0.0416347
Paranthan	0.0415927
Blace	0.0415686
"Heilongjiang Province"	0.0414021
Davao	0.0409777
Zhangzhou	0.0408467
Fremont	0.0408351
PEC	0.0406817
"Fort Myers"	0.0406709
Carlisle	0.0406264
Vukovar	0.0405642
"cash crunch"	0.0405313
Beersheba	0.0405155
CANCUN	0.0404613
Waterloo	0.0403251
Hastings	0.0402976
CHT	0.0402633
))
(bazooka (desc 1596.95) (sims
machine-guns	0.175201
"rocket launcher"	0.157116
machineguns	0.148887
"machine gun"	0.139765
silencer	0.136575
mortar	0.135624
M-@@	0.129121
"automatic rifle"	0.12102
launcher	0.120161
howitzer	0.118011
"hand grenade"	0.112564
"submachine gun"	0.11067
"sawed-off shotgun"	0.104736
Grenade	0.0987412
cannon	0.0974038
revolver	0.0951382
musket	0.0878361
detonator	0.0838344
machete	0.0837742
harpoon	0.0832407
carbine	0.0831123
nightstick	0.0726162
"pipe bomb"	0.0722145
"poison gas"	0.0682723
firebomb	0.0666032
AK-@@	0.0656525
Scud	0.0641804
"spring roll"	0.0627258
"plastic explosive"	0.0626053
cartridge	0.062182
bayonet	0.0615281
"tear gas"	0.0607619
"mustard gas"	0.0603174
Trident	0.0599268
Burnt	0.0593304
"high explosive"	0.0590216
"point system"	0.05888
"battering ram"	0.0577129
gunboat	0.0574304
Magnum	0.0567626
ordnance	0.0559762
"surface-to-air missile"	0.0549647
munition	0.053683
"attack aircraft"	0.0524594
"circuit breaker"	0.0513056
tracer	0.0509879
"cream puff"	0.0503081
"air-to-air missile"	0.0498208
"sleeping beauty"	0.0488344
dynamite	0.0484001
hatchet	0.0480531
projectile	0.0474056
"heavy weapon"	0.0471597
Tomahawk	0.0470703
dew	0.0469082
"aircraft part"	0.0463482
prosthesis	0.045969
winnowing	0.0452022
ICBM	0.045113
"jet plane"	0.0451096
"raw data"	0.0450965
trapeze	0.0448281
conch	0.0444958
"army tank"	0.0443396
gallstone	0.0443364
"Lebanese Hezbollah"	0.0442431
crossbow	0.0442204
"tool kit"	0.0440529
"petrol bomb"	0.0440497
Popeye	0.0440486
"laser beam"	0.0439661
Uzi	0.0435839
"Trojan Horse"	0.0435345
Stinger	0.0434488
SA-@	0.0433984
suction	0.0433328
madmen	0.0432933
phyllo	0.0431773
Brendan	0.0429303
"weapons system"	0.0424734
kamikaze	0.0416805
slingshot	0.0416686
Sarin	0.041418
tortoise	0.0413157
infantrymen	0.0410883
loon	0.0410878
"solid ground"	0.040686
cannister	0.0406483
"bubble gum"	0.0405284
"water cannon"	0.0402705
))
(BB (desc 2233.59) (sims
"hepatitis A"	0.0751981
shrapnel	0.0614059
"garden hose"	0.0566988
AAA	0.0545329
discoloration	0.0534737
"jelly bean"	0.0531103
"tennis ball"	0.051445
"over six"	0.0509771
AA	0.0501984
NiSource	0.0483762
CNPC	0.0480166
houseguest	0.0475566
airball	0.0459608
CCA	0.0444344
audubon	0.0435057
PBSI	0.0426862
"silver dollar"	0.0425708
CPSC	0.0423392
sheetrock	0.0418001
"golf ball"	0.0415492
"soda can"	0.041436
policewoman	0.0413733
"cigarette butt"	0.0412416
IAI	0.0410723
"American Lung Association"	0.0406483
zinger	0.0405832
Drexel	0.0405259
))
(BBC (desc 18965.1) (sims
"British Broadcasting Corp."	0.306628
"British Broadcasting Corporation"	0.178935
"Israel Radio"	0.164219
Reuters	0.163392
CNN	0.162376
"Voice of America"	0.162136
IRNA	0.155823
"Dow Jones Newswires"	0.153528
Haaretz	0.143514
"National Public Radio"	0.141913
"Cable News Network"	0.141269
"ABC News"	0.136823
"Associated Press"	0.135539
ESPN	0.134234
ABC	0.131696
"Los Angeles Times"	0.130875
CBs	0.130659
"Washington Post"	0.130329
MSNBC	0.126506
PBS	0.126476
CNBC	0.125659
"Agence France-Presse"	0.124811
C-Span	0.123765
"Fox News"	0.122992
"Jerusalem Post"	0.122842
"Channel @"	0.122326
"NBC News"	0.121648
"Straits Times"	0.121119
NBC	0.120821
"Wall Street Journal"	0.120332
"television network"	0.119163
"USA TODAY"	0.118797
Newsweek	0.118528
"Business Times"	0.117879
"television station"	0.117269
Ansa	0.11686
"Saudi Press Agency"	0.116634
"Associated Press of Pakistan"	0.115086
"Chicago Tribune"	0.115045
"Islamic Republic News Agency"	0.114678
"Tehran Times"	0.114058
"radio station"	0.114019
"Financial Times"	0.112927
"Korean Central News Agency"	0.111995
"Kyodo News"	0.111012
"Agence France Presse"	0.110973
"Anatolia News Agency"	0.110769
"Kuwait News Agency"	0.110717
Angop	0.110048
"New York Times"	0.109475
"Iraqi News Agency"	0.109453
"Turkish Daily News"	0.109339
Antara	0.109203
"Egyptian Middle East News Agency"	0.108138
"CBS News"	0.107373
"Xinhua News Agency"	0.107034
television	0.106892
"Zimbabwe News Agency"	0.106812
NTV	0.106773
Kyodo	0.106714
"United Press International"	0.106523
"Kyodo News Service"	0.106411
"TV network"	0.105017
HBO	0.104268
"Indonesian Observer"	0.104064
CBS-TV	0.103091
"Middle East News Agency"	0.102997
"TV station"	0.102892
"Bloomberg News"	0.102005
"Washington Times"	0.102001
"Philippine News Agency"	0.101393
AFP	0.10119
"Fox News Channel"	0.101073
"Egyptian Gazette"	0.10067
"Jakarta Post"	0.10043
radio	0.100428
"Good Morning America"	0.0990451
MTV	0.0977951
ABC-TV	0.0976284
NHK	0.0975582
"Daily News"	0.097409
Tanjug	0.0969061
Sowetan	0.0964122
Lusa	0.0961381
"Le Monde"	0.0957077
"Dateline NBC"	0.0956843
"Press Trust of India"	0.0953597
"Antara News Agency"	0.0952497
newspaper	0.0948598
"South African Press Association"	0.0943303
"news agency"	0.0941564
"Daily Star"	0.0937063
"Boston Globe"	0.0935326
"Radio Liberty"	0.0931438
"Gulf News"	0.092912
Tass	0.0921576
"Rwanda News Agency"	0.0921366
"Khaleej Times"	0.0919737
"Le Figaro"	0.0917133
"Australian Associated Press"	0.0917082
"Arizona Republic"	0.091365
Times	0.0911261
Showtime	0.0910893
"History Channel"	0.0908987
Xinhua	0.0907466
"News Agency of Nigeria"	0.090731
"New Vision"	0.0906181
"Discovery Channel"	0.090513
TNT	0.089571
"Moscow Times"	0.0892048
"Ghana News Agency"	0.0891232
"Bangkok Post"	0.0880622
Bernama	0.0876991
al-Hayat	0.0875359
Noticias	0.0868594
"Vietnam News Agency"	0.0868153
"Court TV"	0.0868097
"Thai News Agency"	0.0863948
"Radio Uganda"	0.0863431
Fox	0.0861809
"Jordan Times"	0.0858676
VH@	0.0858613
"U.S. Labor Department"	0.085828
TV	0.0855648
Nightline	0.0851207
NPR	0.0850903
CCTV	0.0847576
"El Pais"	0.0846576
"Der Spiegel"	0.0843343
"Business Day"	0.0836512
"South China Morning Post"	0.0821992
PTI	0.081755
"television news"	0.0816319
Interfax	0.0813389
Post-Intelligencer	0.0808633
MENA	0.0806553
"Detroit News"	0.0803995
"Vietnam News"	0.0801031
"National Association of Realtors"	0.0798782
"Kenya Times"	0.079419
"Daily Telegraph"	0.0793891
Izvestia	0.0792125
chronicle	0.0789503
"Atlanta Journal-Constitution"	0.078872
"Houston Chronicle"	0.0787656
Petra	0.0787306
magazine	0.0786366
"Miami Herald"	0.0785351
"New Straits Times"	0.0785305
"Denver Post"	0.0783357
Notimex	0.0780704
"Kathmandu Post"	0.0778521
"China Central Television"	0.0777879
"Kansas City Star"	0.0776706
Kommersant	0.0775404
"Business Weekly"	0.077507
"Cox Newspapers"	0.0770123
"East African Standard"	0.0769226
"Daily Times"	0.0761638
CNN/SI	0.0757011
"Athens News Agency"	0.0754234
Star-Ledger	0.0752192
"Seattle Times"	0.0751565
"Dallas Morning News"	0.0750076
ABS-CBN	0.0749597
Reforma	0.0749342
"Golf Channel"	0.0743735
Maariv	0.073886
CTV	0.0737218
"Ethiopian News Agency"	0.0736408
APTN	0.0731045
"Southern African Broadcasting Association"	0.073046
"Comedy Central"	0.0728744
tribune	0.0722192
"Financial Mail"	0.071805
"Zambia News Agency"	0.0717622
"Disney Channel"	0.0717169
Guardian	0.0715274
Itar-Tass	0.0715185
"Food Network"	0.0714257
"wire service"	0.071413
"cable network"	0.0712995
"Philadelphia Inquirer"	0.070671
ATA	0.0705311
"Press Trust"	0.0703198
"China Daily Business Weekly"	0.0703185
"news service"	0.0700896
"Detroit Free Press"	0.0700464
Eurostat	0.0697813
"Daily Mail"	0.0693144
globe	0.0690321
"Daily Nation"	0.0687232
AP	0.0685045
CBC	0.0684694
"Iran News"	0.0684634
"Des Moines Register"	0.0683865
"San Antonio Express-News"	0.0682446
"Fox TV"	0.0677634
APA	0.0674105
"Zambia Daily Mail"	0.0669728
))
(BBDO (desc 1274.61) (sims
McCann-Erickson	0.263809
"Fallon McElligott"	0.201953
"Saatchi &AMP; Saatchi"	0.183149
"Arnold Communications"	0.179578
Publicis	0.162359
"William Morris"	0.109072
"Mather Worldwide"	0.105572
Mullen	0.105024
Mabetex	0.0977615
"Aetna Inc."	0.0955747
"Reed Elsevier"	0.0912095
"British Petroleum"	0.0865455
"Exxon Corp."	0.0862847
Instinet	0.0853772
"True North"	0.0829533
Ogilvy	0.0804241
"SBC Communications Inc."	0.0793793
"Bertelsmann AG"	0.0768695
Saatchi	0.0762688
SPS	0.0742264
"SmithKline Beecham"	0.0740512
Bertelsmann	0.0731304
"Eli Lilly"	0.0729001
"Sony Corp."	0.0717579
DoubleClick	0.0715358
"Yankee Group"	0.0711217
Renault	0.0705056
"UBS AG"	0.0697932
Omnicom	0.0696735
"International Management Group"	0.0688337
"Cadbury Schweppes"	0.0683217
"Seagram Co."	0.0678599
Viacom	0.0669713
"Levi Strauss"	0.0666956
"Y&AMP;R"	0.0665318
"Hearst Corp."	0.0660453
Lukoil	0.0660257
Reebok	0.0650792
"American International Group"	0.0649654
Amoco	0.0649128
"Halliburton Co."	0.0648114
notary	0.0647405
"R.J Reynolds"	0.0643249
"Hongkong Telecom"	0.0641747
BIA	0.0641021
ADM	0.063911
UTC	0.0637477
Interpublic	0.0629555
"Pfizer Inc."	0.0629528
ZIFF-DAVIS	0.0628212
"Fannie Mae"	0.0626096
"Viacom Inc."	0.062571
"Price Waterhouse"	0.0624699
Novartis	0.0618483
"First Union Corp."	0.0617309
"BP Amoco"	0.0616703
"Credit Suisse"	0.0616495
"Thermo Electron"	0.0616424
"State Street"	0.0616022
ITT	0.0613111
Citibank	0.0612198
"Knight Ridder"	0.0611521
KPMG	0.0610015
"Hughes Electronics Corp."	0.0609621
Citicorp	0.0609064
"American Red Cross"	0.0608537
Hoechst	0.0603676
baring	0.0601384
"Kenya Airways"	0.06012
"Chase Manhattan"	0.0599765
FEMA	0.0595781
"Census Bureau"	0.0595362
"WorldCom Inc."	0.0595071
"Monsanto Co."	0.0593142
"Northeast Utilities"	0.0592671
Daimler-Benz	0.0591864
"Barneys New York"	0.0591147
Chiron	0.0590911
Yukos	0.0589579
"Cendant Corp."	0.0588909
IAI	0.0586711
"Nigerian National Petroleum Corporation"	0.0586207
NARAL	0.0583326
"Mattel Inc."	0.0579844
Counsell	0.0577796
"Bureau of Indian Affairs"	0.0577541
Chiquita	0.0576172
"Travelers Group"	0.0575694
Roche	0.0575404
"civil defense"	0.0574461
GEC	0.0573665
McKesson	0.0573509
Halliburton	0.0568083
"Ernst &AMP; Young"	0.0565963
"Audubon Society"	0.0565448
IDC	0.055972
"Lockheed Martin Corp."	0.0558635
"Coca-Cola Co."	0.0556573
"business development"	0.0555589
Pinkerton	0.0553425
"Walt Disney Co."	0.0553342
"Burlington Northern"	0.0551703
"Sea Launch"	0.0551306
UNFPA	0.0549777
EMC	0.0548108
"federal department"	0.0547256
Heineken	0.0546647
Astra	0.054566
ACOG	0.0543866
"BankAmerica Corp."	0.0543674
Daimler	0.0543174
"Dow Chemical"	0.0542011
"Arthur Andersen"	0.0540856
INEC	0.0538616
NASD	0.053861
"CMGI Inc."	0.0537026
"Goldman Sachs &AMP; Co."	0.053653
"Health Department"	0.053599
"Silicon Graphics"	0.0535733
"Computer Associates"	0.0533795
Enron	0.0533316
MACROMEDIA	0.0532858
Genzyme	0.0532547
"UAL Corp."	0.0529831
"Daimler-Benz AG"	0.0528445
FSB	0.0527747
"Glaxo Wellcome"	0.0526761
NationsBank	0.0526564
Cadbury	0.0526469
"Department of Motor Vehicles"	0.0525279
Copley	0.052488
WPP	0.0524806
CMG	0.0523062
YPF	0.0521698
"publishing company"	0.0521562
"Turner Broadcasting"	0.0520276
"ad agency"	0.0519984
"Merck &AMP; Co."	0.0519592
"Siemens AG"	0.0518309
Aegon	0.0517277
CUC	0.0516785
"Hambrecht &AMP; Quist"	0.0515804
"GE Capital"	0.0513368
"Peace Corps"	0.0513131
Seagram	0.0512496
Norwest	0.0511854
"Western Union"	0.0509954
"Enron Corp."	0.0508506
Lorillard	0.0508171
"Vanguard Group"	0.050813
"Softbank Corp."	0.0507013
PETROBRAS	0.0505653
MI@	0.0504718
Rhone-Poulenc	0.0502883
Unilever	0.0502473
"U.S. Immigration and Naturalization Service"	0.0500959
NIH	0.0499453
Pepsico	0.0499003
Eni	0.0497892
"AMR Corp."	0.0497412
"Yamaichi Securities Co."	0.0497255
headhunter	0.0496684
Mobil	0.0496633
MSF	0.0495421
PaineWebber	0.0493444
"U.N. World Food Program"	0.0493367
adidas	0.0492727
"Bank of New York"	0.0492667
Pemex	0.0491605
"Bank of America"	0.0491389
MCA	0.0490028
Thyssen	0.0489588
TAZARA	0.048787
"Blue Cross"	0.0487602
"Media Metrix"	0.0487587
"J&AMP;J"	0.048714
TVKO	0.0486966
BankAmerica	0.0486179
BMG	0.0485369
"Lehman Brothers"	0.0484736
"State Farm"	0.0482576
"Robertson Stephens"	0.048117
"Deutsche Bank AG"	0.048092
"American Home Products Corp."	0.0480043
"Times Mirror Co."	0.0479873
"International Data Corp."	0.0479616
BASF	0.04789
"Urban League"	0.0478512
"Time Inc."	0.047846
ITC	0.0478184
"Census @@@@"	0.0477334
UBS	0.0477302
"Bank of Montreal"	0.0474961
"network programming"	0.047482
"Cathay Pacific"	0.0474084
"Board of Elections"	0.0473111
Mastercard	0.0472552
"Goldman Sachs"	0.0470832
"accounting firm"	0.0468414
"Fidelity Investments"	0.0467098
))
("BBDO New York" (desc 1446.82) (sims
"Saatchi &AMP; Saatchi"	0.235163
"Arnold Communications"	0.2296
"Mather Worldwide"	0.191219
"Kraft Foods"	0.119542
"Y&AMP;R"	0.0994679
Dataquest	0.0957502
"Delphi Automotive Systems"	0.0956153
"Digital Equipment Corp."	0.0917995
"National Research Council"	0.0883796
McCann-Erickson	0.0865046
Ogilvy	0.0863867
Instinet	0.0860289
"Rampart Division"	0.0833949
"Southwestern Bell"	0.0832797
"First USA"	0.0778678
"Institute of Medicine"	0.0771867
"Congressional Research Service"	0.0762238
"Conde Nast"	0.0751433
Interpublic	0.0740467
"National Highway Traffic Safety Administration"	0.0726171
"Fallon McElligott"	0.0722522
"Investors Service"	0.0711756
"International Finance Corporation"	0.0711751
Mullen	0.0707007
Publicis	0.0702654
"Arthur Andersen"	0.0694631
Uunet	0.0693599
"Center on Budget"	0.068015
"Republican Guard"	0.0678678
"Hughes Electronics"	0.0667408
"Hearst Magazines"	0.0666102
"U.S. Trust"	0.0652103
"Pepsi Cola"	0.0648104
subjectivity	0.0647383
"Center for Strategic"	0.0637688
"Pipeline Safety"	0.063455
"Health Care Financing Administration"	0.0632769
"investment banking"	0.0623209
"GE Capital"	0.0623059
MGH	0.0620743
"United Airlines"	0.0606501
Ingalls	0.0600098
AltaVista	0.0588667
"Yankee Group"	0.0583711
"Bank of America"	0.0583367
"Salomon Smith Barney"	0.0581867
"Fidelity Investments"	0.0572368
"National Park Service"	0.0571295
"Chase Manhattan Bank"	0.0568094
"Miramax Films"	0.0563153
IDC	0.0551087
DirecTV	0.0550544
"Linus Torvalds"	0.0549927
"Liberty Media"	0.0547745
"Urban Institute"	0.0544325
"Harvard School of Public Health"	0.0533667
"Deloitte &AMP; Touche"	0.053064
"Time Inc."	0.0529519
"Gartner Group"	0.0525671
Opel	0.0519734
"Standard &AMP; Poor"	0.0518881
Bloomingdale's	0.0518567
KPMG	0.0513664
"Center for Responsive Politics"	0.0513223
"Jupiter Communications"	0.0509471
"regular army"	0.050853
WSU	0.0502316
Conoco	0.0500166
Searle	0.049974
"Aaron Sorkin"	0.0485294
Frito-Lay	0.0483501
Tropicana	0.048337
"David Lynch"	0.0482222
"Pratt &AMP; Whitney"	0.0480748
Xoom.com	0.04807
"Prudential Securities"	0.047853
"True North"	0.0475645
"China Youth Development Foundation"	0.0473448
"Council of Economic Advisers"	0.0471003
VISTEON	0.0470541
Moody's	0.0468716
Hasbro	0.0467107
IMS	0.0465796
DRI	0.0465431
"Neiman Marcus"	0.046527
"Families USA"	0.0464589
"Albany Medical Center"	0.0462871
"Brown &AMP; Williamson Tobacco Corp."	0.0462858
SAS	0.0462084
Pirelli	0.0460545
"Wright State University"	0.0458478
ZDNet	0.0456126
"National Academy of Sciences"	0.0454829
ITT	0.0454514
"National Cancer Institute"	0.0452589
PaineWebber	0.0448978
Cyrix	0.0446455
ZIFF-DAVIS	0.0435695
"Johnson &AMP; Johnson"	0.0434849
"Forrester Research"	0.0431931
Orangina	0.0430856
T-cells	0.0430438
"Kaiser Family Foundation"	0.0429653
"Armed Police"	0.0429261
"Diamond Multimedia"	0.0428342
"chemical warfare"	0.0428311
CUC	0.0426027
Ticketmaster	0.0423239
Agusta	0.0419864
Aquarius	0.0418034
Harcourt	0.0416816
Marketspan	0.0415374
"Fannie Mae"	0.0414755
Symantec	0.0412955
"Omnicom Group"	0.0410696
"Special Forces"	0.0407307
"Self-Defense Forces"	0.0407021
"Pew Research Center"	0.0404934
IFC	0.0404253
"Brown &AMP; Williamson"	0.0404151
"Paramount Pictures"	0.0402895
BBDO	0.040258
Drexel	0.0402312
Kroll	0.0401061
Suarez	0.040076
))
(BBOX (desc 868.602) (sims
whomever	0.0847664
HKFA	0.0706386
feds	0.0690024
Fiedler	0.0680663
Batouty	0.0679422
SabreTech	0.0673247
Cramer	0.0669564
"final judgment"	0.0639326
Wannstedt	0.0637583
Niyazov	0.0635362
kindergartners	0.0623177
decker	0.0598123
Bordick	0.0594603
Spector	0.0587645
Geiger	0.0582803
"billion over @@ years"	0.0572292
"goose bumps"	0.056447
Tilberis	0.0554836
"Foreign Exchange Rates"	0.0549037
"hot stock"	0.0549006
"Dhaka Stock Exchange"	0.0546996
Leuchter	0.0545791
lapping	0.0544066
Hazelwood	0.0543175
HCFA	0.0542196
"census taker"	0.0539266
"bank failure"	0.0537626
Mississippian	0.0536876
"Los Angeles City Council"	0.0536858
nay	0.0534522
"Quinton McCracken"	0.0533192
fourth-graders	0.053306
Merrick	0.0532559
Smolinski	0.0530626
"USA Basketball"	0.053034
RAMBUS	0.0528027
"Phenix City"	0.052665
Holzman	0.0525915
"Secretary-General Boutros Boutros-Ghali"	0.0525119
Berkowitz	0.0522787
"Jerry Buss"	0.0522495
Bedell	0.0521829
baserunners	0.0520828
Huskers	0.0516856
McKenzie	0.0516369
Airlines	0.05124
BSF	0.0511727
"US Congress"	0.0511387
sleuthing	0.0510138
"deficit spending"	0.0509549
"Y&AMP;R"	0.0505209
Nepali	0.0502847
McManus	0.0502068
part-timer	0.0497981
Schroder	0.0496264
Brogna	0.0495533
Twenty-seven	0.0494823
"Beijing Municipal Government"	0.0490944
Hartwig	0.049035
"Patricia Smith"	0.0489881
imposter	0.0488749
"George E. Pataki"	0.0485154
Genzyme	0.0483561
blinker	0.0480726
PBSI	0.0480363
"Consultative Group"	0.0479851
Shurmur	0.047913
"temporary worker"	0.0478803
"drilling rig"	0.0473147
Dumpsters	0.0470648
"Jim Harrick"	0.0470026
Doan	0.0468716
vibrator	0.0468399
VCs	0.04667
CPAFFC	0.0465367
Hollins	0.0463551
baserunner	0.0463515
Byrdsong	0.0462794
twenty-six	0.046216
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0461858
"Pakistan People's Party"	0.046132
Connell	0.0459811
"Charlie Garner"	0.0459809
Soares	0.0458328
Cosell	0.0457956
Schering-Plough	0.0456932
Ghalib	0.0456724
Shorty	0.0456093
Beijingers	0.0455986
Pickens	0.045511
Akayev	0.0454928
Camille	0.0454601
inflexibility	0.0454435
Akayesu	0.045354
no-confidence	0.0452508
Furcal	0.0451876
Rubenstein	0.04505
Washingtonian	0.0450457
Arnott	0.04488
"chip shot"	0.0445589
whoever	0.0445259
"written agreement"	0.0445148
"free time"	0.0444424
PITTS	0.0444016
Preval	0.0442869
"Joe Murphy"	0.0442407
"Turkish Airlines"	0.0442211
"Joe Torre"	0.0442134
Cubas	0.0440492
Levitch	0.0439465
Torvalds	0.0438924
"Joint Liaison Group"	0.0437392
decomposition	0.0436941
Woolley	0.0435217
"Weather Information"	0.0434702
McGovern	0.0434594
Eubanks	0.0434459
CCE	0.043261
Bartholomew	0.0432245
"proxy fight"	0.0432226
Overnite	0.0431404
Dunne	0.0431288
Hitchens	0.0431051
DFB	0.0430915
Maruyama	0.0430196
Barrie	0.0429853
remarriage	0.0429508
Garber	0.0429453
"raw data"	0.0429309
leeson	0.042822
"Ask Jeeves"	0.0427746
"Jim Leyland"	0.0426728
"market participant"	0.0426432
Buzek	0.0425553
"housing sale"	0.04248
Whyte	0.0424325
Kamensky	0.0424239
"talent scout"	0.0424233
Kreuter	0.0424081
Ulema	0.0423904
"sailing vessel"	0.0423622
Ought	0.0423111
"brook trout"	0.0422879
"piece of cloth"	0.0421663
masse	0.0421584
Penders	0.0420639
Romer	0.042045
"Dennis Miller"	0.04203
Sydor	0.0420167
FEMA	0.0419275
"Marshall Plan"	0.0418933
Norberg	0.0418139
Evernham	0.041727
salchow	0.0416246
Projects	0.0416112
Al-Jaber	0.0416069
Kohler	0.0415849
Snipes	0.0414845
"Defense William Cohen"	0.0414601
student-athletes	0.0414585
Zing	0.0414577
"knockout punch"	0.0413958
dieters	0.041385
Asprilla	0.0413339
mainlanders	0.041325
"Mikhail Kasyanov"	0.0413086
Sojo	0.0412757
"air force officer"	0.0412678
enumerators	0.0411583
Maggette	0.041132
Milbury	0.0411247
Loretta	0.0410933
Arron	0.0410723
cushioning	0.041069
NDF	0.0410321
"Victor Chernomyrdin"	0.0408526
Reznor	0.0407716
"Whole Foods"	0.0406919
semicircle	0.0406679
Rev	0.0406332
"order of business"	0.0406329
"penny stock"	0.0406241
Erickson	0.0405968
librettist	0.0405817
Sanan	0.040559
burrows	0.0405216
Hayworth	0.0404601
Seaver	0.0404561
Suker	0.0404474
Baer	0.0403256
"Robbie Fowler"	0.0403202
rumour	0.0402994
Daft	0.0402959
"Doug Glanville"	0.0402828
Mackey	0.040274
Jacke	0.0402278
albatross	0.0402009
"Roman Turek"	0.0401147
Sassa	0.0400686
Seward	0.0400273
))
(BC (desc 24483.8) (sims
B.C	0.179818
"Boston College"	0.151569
CSUN	0.12713
A.D	0.126352
UConn	0.122829
USC	0.122463
UMass	0.12087
TCU	0.120629
Pepperdine	0.120255
UCLA	0.120198
ASU	0.118362
"Notre Dame"	0.114354
"Ohio State"	0.111626
OSU	0.111079
"Michigan State"	0.110551
LSU	0.110499
"Kansas State"	0.109907
Sooners	0.109406
"Virginia Tech"	0.107909
"Georgia Tech"	0.105691
Purdue	0.105125
Boilermakers	0.104748
Stanford	0.1045
"Florida State"	0.104495
Huskers	0.104113
Rutgers	0.103029
NAU	0.101997
"Horned Frogs"	0.101819
"Penn State"	0.100648
Aggies	0.0991809
"Fighting Irish"	0.0980426
"Red Raiders"	0.0980275
"Iowa State"	0.0972223
BYU	0.096562
Baylor	0.0965518
"Oklahoma State"	0.0959804
ou	0.0957709
Lobos	0.0948618
"Washington State"	0.0948618
Gonzaga	0.0948398
FSU	0.0948234
tech	0.0942091
SMU	0.0937578
Hofstra	0.093669
"Mississippi State"	0.0936169
Clemson	0.0935385
"Seton Hall"	0.0934541
Duke	0.093386
"Red Storm"	0.0932275
gamecock	0.0924354
wildcat	0.0923328
K-State	0.091839
Seminoles	0.0914388
Hokies	0.0912864
"Nittany Lions"	0.0909058
Tennessee	0.0903012
"Texas Tech"	0.0897275
Eagles	0.0896933
Syracuse	0.0892073
"Oregon State"	0.0891456
cougar	0.0891018
Sonics	0.0879637
Steelers	0.0878358
bulldog	0.0869979
Wolfpack	0.0862187
Cal	0.0857408
Seahawks	0.0856527
MetroStars	0.0853537
UNLV	0.0852283
Gators	0.0851029
Tulane	0.0849237
"Arizona State"	0.0848376
"Georgia Southern"	0.0847421
Villanova	0.083765
UNT	0.0836747
Unh	0.0832646
Fordham	0.0830918
"blue devil"	0.0825147
Longhorn	0.0825078
Jayhawks	0.0823841
"St. John"	0.0818562
Nebraska	0.0818098
Princeton	0.0817348
UT	0.081716
"San Jose State"	0.0813752
Xavier	0.0813662
Lakers	0.0806848
Bucs	0.0799911
RedHawks	0.0798758
"Wake Forest"	0.0795424
Minutemen	0.0795407
Kentucky	0.0794896
Celtics	0.0791252
"Southwest Missouri State"	0.0790694
Indiana	0.0788816
Cornhusker	0.0785957
"Scarlet Knights"	0.0785531
Giants	0.0783459
Trojan	0.0777507
"Golden Hurricane"	0.0777422
"Fresno State"	0.077679
Bengals	0.0773348
buckeye	0.0773212
Wolverine	0.077052
Stephenville	0.0765009
Vols	0.07595
Spartan	0.075781
husky	0.0757512
"Long Beach State"	0.0755575
falcon	0.0755272
Hawkeyes	0.0751001
bronco	0.0750331
Vanderbilt	0.0746533
"University of Tennessee"	0.0744571
bruin	0.0743625
"Tar Heels"	0.0741164
Wisconsin	0.0740871
UW	0.073977
Denver	0.0736914
"East Carolina"	0.0735818
BEARS	0.0735714
Miami	0.0735704
"Trail Blazers"	0.0734096
"Cal State Northridge"	0.0733428
matador	0.0733043
northwestern	0.0732013
Oklahoma	0.0729291
badger	0.0729074
"Crimson Tide"	0.0723289
"Holy Cross"	0.0713693
"San Diego State"	0.0713271
Tulsa	0.0713026
"Dallas Cowboys"	0.0712843
"North Carolina State"	0.071248
WSU	0.0711726
panther	0.0709301
"Boston University"	0.0708258
Carolina	0.0707938
"Han Dynasty"	0.0707219
Utah	0.0705035
Georgetown	0.0704017
Arizona	0.0703955
"University of Houston"	0.0703449
Pitt	0.0699238
"Tampa Bay"	0.0699153
Dartmouth	0.0698806
Marquette	0.0695956
Buffalo	0.0694372
UAB	0.069009
"N.C. State"	0.0687298
Portland	0.0687261
Yale	0.0687036
pacer	0.0686036
"Green Bay"	0.0684824
"New York Jets"	0.0684128
cowboy	0.068168
Alabama	0.0679099
Bu	0.0679051
UA	0.067847
BUCCANEER	0.0676859
Harvard	0.0672737
"Utah State"	0.0672577
Knicks	0.0670408
"yellow jacket"	0.0669695
"Los Angeles Galaxy"	0.0669278
Auburn	0.0666989
Hoosier	0.0666054
Razorback	0.0665962
ram	0.0661401
Viking	0.066042
charger	0.0660071
Uri	0.0659381
Springbok	0.0657187
Northridge	0.065675
devil	0.0655743
"Appalachian State"	0.0654889
Colorado	0.065479
bearcat	0.0653366
Redskin	0.0653233
"ATLANTA FALCONS"	0.0651005
"D.C. United"	0.0648187
"Denver Broncos"	0.0647841
Raven	0.0647189
Lehigh	0.0647065
cardinal	0.0646366
MSU	0.0643478
piston	0.0642021
Canuck	0.0639286
dolphin	0.0639095
Minnesota	0.0638289
Connecticut	0.0637463
m	0.0636739
Pittsburgh	0.0635287
Oregon	0.0634992
sabre	0.0634725
Jacksonville	0.0634663
Cavs	0.063424
"Old Dominion"	0.0633047
"Southern Cal"	0.0632222
Sparks	0.0629708
))
(BCE (desc 1956.27) (sims
NatWest	0.177878
XYLAN	0.171118
RJR	0.170362
McKesson	0.164274
WPP	0.163294
ALZA	0.161555
"Thermo Electron"	0.151558
Emulex	0.146486
"National Grid"	0.145033
VENATOR	0.144618
COLTEC	0.144431
"U.S. Trust"	0.144118
ascend	0.142727
NiSource	0.141902
Ciena	0.13742
Terra	0.135948
"Royal Bank"	0.13556
TELLABS	0.134398
"RJR Nabisco"	0.133454
Starwood	0.132895
"Times Mirror"	0.131772
"Bausch &AMP; Lomb"	0.130852
E-LOAN	0.128925
Zapata	0.128566
TYCO	0.126114
Cabletron	0.125827
Glaxo	0.125482
Litton	0.125461
PLDT	0.125269
Cendant	0.124526
ENTERGY	0.124455
Viag	0.124198
"Bank of Scotland"	0.12201
Asda	0.121808
NORTHROP	0.121478
MiniMed	0.121221
"Niagara Mohawk"	0.120567
UAL	0.120264
SkyTel	0.11989
Qwest	0.119855
Northpoint	0.11948
Honeywell	0.119332
Gilead	0.119212
Nabisco	0.119029
NTL	0.118893
AutoNation	0.11861
SmithKline	0.118525
Totalfina	0.118228
Norwest	0.117971
"Waste Management"	0.116726
Mannesmann	0.11629
Vivendi	0.115929
Eurotunnel	0.115911
Sunbeam	0.115845
"P&AMP;G"	0.11448
AMR	0.114211
"Times Co."	0.114145
"Phelps Dodge"	0.113416
Asarco	0.11336
Healtheon	0.113351
Aegon	0.113035
Alcan	0.112865
Seagate	0.112672
"Chronicle Publishing"	0.112009
Infoseek	0.111507
"Air Canada"	0.110955
UAM	0.110867
SDL	0.110766
Scania	0.109781
ARCO	0.109709
Aetna	0.109389
Bestfoods	0.109031
"KCP&AMP;L"	0.109016
Lilco	0.108384
Petrofina	0.108368
Seagram	0.108243
Maytag	0.107878
Tenneco	0.107535
CMGI	0.107089
MACROMEDIA	0.10605
"J&AMP;J"	0.105995
Fingerhut	0.105642
Weyerhaeuser	0.105635
Vodafone	0.105223
Chris-Craft	0.105055
HBOC	0.10466
Tandy	0.104517
Berkshire	0.104087
Schlumberger	0.10397
Warnaco	0.103881
Unilever	0.103695
"Pacific Century"	0.103435
"Rite Aid"	0.103345
Daimler	0.103077
LTCB	0.102813
Sepracor	0.10231
"Y&AMP;R"	0.101943
Dresdner	0.101512
"Global Crossing"	0.101379
VoiceStream	0.100719
Comsat	0.0998539
BankAmerica	0.099841
Astra	0.0994409
"Learning Co."	0.0992618
"USA Networks"	0.098907
GANNETT	0.0987398
Telefonica	0.0987293
Airtouch	0.0984847
"Telecom Italia"	0.0984174
Georgia-Pacific	0.0983248
"Advanced Micro"	0.0983066
"Union Carbide"	0.0976408
GTE	0.0974865
ENTREMED	0.0973612
Pepsico	0.097343
Halliburton	0.0972827
YPF	0.0972653
Stratus	0.0971789
Paribas	0.0969587
UBS	0.0964749
"Fred Meyer"	0.0963023
Lycos	0.0961957
Penney	0.0961636
Deutsche	0.095986
Texaco	0.0959666
FPL	0.0951432
Clorox	0.0945536
"Berkshire Hathaway"	0.094552
Warner-Lambert	0.0945467
Checkfree	0.0943284
"HBO &AMP; Co."	0.094248
Corning	0.0937843
AlliedSignal	0.0937664
Corel	0.0935395
Amoco	0.0933666
"U S West"	0.0930409
ICI	0.093023
Olivetti	0.0930179
REVLON	0.0928309
Chiron	0.0926784
Scientific-Atlanta	0.0926487
WebMD	0.0926247
EarthLink	0.0926133
ExciteAtHome	0.0925946
BankBoston	0.0924726
"Dayton Hudson"	0.0923233
Humana	0.0920492
"Computer Associates"	0.0918491
Genzyme	0.091807
Nortel	0.0916407
"Nippon Credit"	0.0914909
Cisco	0.0911975
ZIFF-DAVIS	0.0909233
EMC	0.0907594
"Societe Generale"	0.0906321
JAL	0.0905238
Barclays	0.0904322
Mattel	0.0902717
VICKERS	0.0899973
Alcoa	0.0899656
Amgen	0.0898623
Dexter	0.0897378
HP	0.089679
"Hongkong Telecom"	0.0894012
WorldCom	0.0886905
"Boston Scientific"	0.0885362
Biogen	0.0883746
Novell	0.0880536
Transamerica	0.0880268
ACB	0.0879108
Cadbury	0.0876162
GEC	0.0876151
Genentech	0.0876066
Gillette	0.0871618
"Deutsche Telekom"	0.0869914
Telstra	0.0869802
SBC	0.0867985
Echostar	0.0867965
A.D	0.08679
"American Home"	0.0867474
Viacom	0.0867457
Nextel	0.0867035
Federated	0.0866644
Conseco	0.0863677
AstraZeneca	0.0863163
Kellogg	0.086233
"Sara Lee"	0.0861894
Pitney	0.0861261
Mediaone	0.085924
CDnow	0.0857735
Dupont	0.0856703
"News Corp."	0.0856198
BellSouth	0.0853206
Commerzbank	0.084993
Cathay	0.0848183
Monsanto	0.0846734
Konka	0.0844959
"Eli Lilly"	0.0843488
"International Paper"	0.0843418
om	0.0840202
))
(BCS (desc 5351.29) (sims
"Bowl Championship Series"	0.268842
"Division I-AA"	0.12738
"Big Sky Conference"	0.0989228
"Western Conference"	0.0945733
NFC	0.0932899
RPI	0.0923705
A.L.	0.0901199
"Pacific Division"	0.0886934
oil-for-food	0.0819925
"AFC West"	0.0796803
Pacific-@@	0.0794451
"Top @"	0.0793506
Pac-@@	0.0781838
AFC	0.0773064
"Top @@"	0.0770945
NTRA	0.0767051
MPAA	0.0765038
ATP	0.0762077
"Eastern Conference"	0.0761962
"Big @@"	0.0750512
ACC	0.0748585
"NCAA Tournament"	0.0747622
"NFC East"	0.0747404
"AFC East"	0.0728601
PCI	0.0695535
"American League East"	0.0689092
"Fiesta Bowl"	0.0680066
"Solheim Cup"	0.0675364
"batting order"	0.066645
ITTF	0.0665609
"NFC West"	0.0663625
Gator	0.0662489
"House Budget Committee"	0.0661309
"Big East"	0.065922
"Eastern Division"	0.0657148
"Central Division"	0.0655
"Truth Commission"	0.0646844
"World Championship"	0.0644536
"West Regional"	0.0643553
CWS	0.0635957
"Big Sky"	0.0634226
"Northeast Division"	0.063261
fiesta	0.0628512
WTA	0.0626136
"Southeastern Conference"	0.0624701
top-@@	0.0624484
"AFC Central"	0.0622157
"Midwest Regional"	0.0614897
"SEC East"	0.0611434
"Sporting News"	0.0607925
"National League West"	0.0606709
"Italian League"	0.0600774
"Big West"	0.059663
CEC	0.0593717
"National League East"	0.0591786
"Funny Car"	0.0586956
XFL	0.0582103
"National League"	0.0578158
"sugar bowl"	0.0574416
"AL West"	0.0574073
HCFA	0.0569321
Ryder	0.0564679
"National Invitation Tournament"	0.0558818
Marketspan	0.0556979
"Premier League"	0.0556924
"National Thoroughbred Racing Association"	0.05567
WAC	0.055219
preseason	0.0551751
NL	0.0551441
UNMOVIC	0.0550429
postseason	0.0550183
"NL East"	0.0549895
RNC	0.0545447
NRC	0.0543231
"Top @@@"	0.0541548
"Sweet @@"	0.0539583
"American League West"	0.0538068
"Conference USA"	0.0537023
IBF	0.0528323
"Champions League"	0.052547
CMAG	0.0524803
CSC	0.0522575
"Rules Committee"	0.0520184
CSA	0.0519106
"Copa America"	0.0517006
Nielsen	0.0513387
"Atlantic Division"	0.0512483
"Ethics Commission"	0.0512237
ml	0.0511732
WCC	0.0510778
Totalfina	0.0509662
"Western Athletic Conference"	0.0508648
NCAA	0.0504427
"point system"	0.0503947
"World Group"	0.0503356
PBSI	0.0502272
"Pan Ams"	0.0498744
"South Regional"	0.0497182
midterm	0.0496423
VFA	0.0496256
"Rose Bowl"	0.0495033
INEC	0.0494887
SEC	0.0494639
"Atlantic Coast Conference"	0.0494636
CIRC	0.0493211
"Transparency International"	0.0492943
JMC	0.0490082
seniority	0.0488022
"electoral college"	0.0484492
C-USA	0.0483932
nit	0.0482457
selector	0.0482095
"Senate Budget Committee"	0.0481531
"American League"	0.0477903
"Arena Football League"	0.0476542
"UEFA Cup"	0.047409
"Associated Press"	0.0473066
"NL Central"	0.0472986
"NFC Central"	0.0472943
"Group @"	0.0466666
"Motion Picture Association of America"	0.046561
"Washington Mutual"	0.0462177
"Health Insurance Program"	0.0459759
"House International Relations Committee"	0.0458165
Hannover	0.0454918
"AL East"	0.0453204
BIA	0.0449682
"College World Series"	0.0448423
"Atomic Energy Commission"	0.0447208
"National Republican Congressional Committee"	0.0446661
"Champions Cup"	0.0445684
"Ivy League"	0.0444641
"fifth and sixth"	0.0443058
Wada	0.0442441
"WTA Tour"	0.0442117
"House Appropriations Committee"	0.0441531
"Palm VII"	0.0440793
IRL	0.0439959
"Group B."	0.0439216
"ATP Tour"	0.0438371
PCC	0.0436508
"United Republic of Tanzania"	0.0431407
"House Commerce Committee"	0.0431405
"Des Moines Register"	0.0431277
"Busch Series"	0.0430729
"Electoral Commission"	0.0430457
"round robin"	0.0429641
"Super League"	0.0429484
"AL Central"	0.0428872
profit-sharing	0.0428368
"NL West"	0.0427157
"Indy Racing League"	0.0426999
"Peach Bowl"	0.0424809
"Nevada Athletic Commission"	0.0424297
"Top Fuel"	0.0423692
NASD	0.042316
"Senate Commerce Committee"	0.0422546
tourney	0.0421789
"World Report"	0.0421421
"Euro @@@@"	0.0420455
"Seattle Times"	0.0420199
CNTA	0.0419278
"Senate Banking Committee"	0.041839
"Lone Star State"	0.0418179
"Cotton Bowl"	0.0418139
"East Regional"	0.0415614
"Atlanta Thrashers"	0.0415524
Gallup	0.0415466
IEC	0.0414939
"U.S. News"	0.0413804
midrange	0.0412716
"Parades Commission"	0.0411924
"National Electoral Commission of Nigeria"	0.041146
"Confederations Cup"	0.0411141
"Pentium III"	0.0409744
"Banking Committee"	0.0409622
"Gator Bowl"	0.0408886
"Deep Blue"	0.0408763
eighth-grade	0.0407762
KEDO	0.0407482
"American Film Institute"	0.040716
ama	0.0406979
"National Grid"	0.0405556
"next six"	0.0405406
AFI	0.0404973
"big picture"	0.040452
"National Hockey League"	0.0404399
badminton	0.0404325
"National Football League"	0.0404168
ICC	0.0403552
umpiring	0.0403169
"Stability Pact"	0.0402682
Heisman	0.0401813
Sigma	0.0401401
NiSource	0.0400808
SPDC	0.0400444
WNBA	0.0400021
))
(BEA (desc 1536.62) (sims
Informix	0.0904751
NHTSA	0.0885721
Irina	0.0879279
MiniMed	0.0856851
ITC	0.0846199
Linus	0.0746969
Unisys	0.0741391
Michele	0.0736013
Kristin	0.0727839
EOHR	0.0723703
Gilead	0.072187
Jenna	0.0720945
NCR	0.0717877
Edna	0.0709842
becky	0.0703226
Doris	0.0695183
EMC	0.0688578
AHA	0.0687887
Edith	0.0667592
SDPC	0.066491
Jacqueline	0.0664226
Phyllis	0.0663906
Kathleen	0.0661726
Scarpetta	0.0659687
Newell	0.0656121
Nora	0.065435
Corel	0.0652539
TKT	0.0647149
PEOPLESOFT	0.0644539
Frances	0.064453
Sami	0.0641102
Pauline	0.064091
HBOC	0.0637236
GSS	0.0635351
Audrey	0.0634977
BOI	0.063471
alicia	0.0627501
TYCO	0.0625557
Cortez	0.0623463
Alexandra	0.0621893
SSB	0.0621686
"Dayton Hudson"	0.0619871
Sybase	0.061426
Stephanie	0.0610991
Nana	0.0609334
DEP	0.0609312
iss	0.060874
Karenna	0.0604262
Cline	0.060348
IEA	0.0601917
"Health and Welfare Ministry"	0.0601822
"J&AMP;J"	0.059607
"Truth Commission"	0.0594631
Claudia	0.0591441
Cathy	0.0587602
Snoopy	0.0587252
CBK	0.0586866
Eileen	0.0584277
Roberta	0.0582714
Lydia	0.0580001
Gan	0.0571999
Claude	0.0570745
Sonia	0.0570359
Petrofina	0.0569124
Rachel	0.056813
Starwood	0.0563017
Biogen	0.056205
Miriam	0.056016
"U.S. Agriculture Department"	0.0559024
"Bank Negara"	0.0558274
Tracey	0.0554733
NTSB	0.0553906
"Dell Computer"	0.0553724
"Thermo Electron"	0.0553352
Millie	0.0553198
Patten	0.0552144
Equifax	0.055194
"Education Department"	0.055167
Jennifer	0.055092
Autodesk	0.055091
Marlene	0.0550409
Sarah	0.0550162
AHP	0.0549472
"Boston Scientific"	0.0546794
Rudman	0.0546671
Terra	0.0545788
Suzanne	0.0545223
Dorothy	0.0545104
CSC	0.0544183
Peggy	0.0543749
Evelyn	0.0542371
Leah	0.0542047
Marta	0.0541857
Brooke	0.0541841
Sara	0.0541787
Denise	0.0541639
"Israeli Foreign Ministry"	0.0541137
Kimberly	0.0539876
Naomi	0.0539843
Beverly	0.0539293
ISTAT	0.053907
Cp	0.0538873
Hevesi	0.0538822
Andrea	0.0535852
"Commerce Ministry"	0.0533014
Barbara	0.053291
Cabletron	0.0532772
Wyly	0.0532542
Cindy	0.0532469
FSA	0.0532387
"La Bella"	0.053119
"Hongkong Telecom"	0.0530895
patsy	0.053079
Melissa	0.0529734
Judy	0.0529552
CNPC	0.0529257
"Karenna Gore Schiff"	0.0526991
BOJ	0.0526586
ICI	0.0526294
Gillette	0.0525216
"National Highway Traffic Safety Administration"	0.0524384
Baird	0.0524319
SEPA	0.052141
Chloe	0.0521138
Medtronic	0.0519813
Christina	0.0519708
Gina	0.0519084
LaBella	0.0518915
Rebecca	0.0518167
Julia	0.0517751
"Berkshire Hathaway"	0.0517542
WIPO	0.0517501
Beth	0.051539
BOC	0.0515353
Scripps	0.0514019
Monique	0.0513464
Bi	0.0512123
Sepracor	0.0512086
Dresdner	0.0511828
Koskinen	0.0511182
Josephine	0.051095
Zapata	0.0510949
CAA	0.0510234
WEF	0.0509473
NCI	0.0508935
CSE	0.0507015
Patricia	0.0504657
Jeanne	0.0504648
Maude	0.0503785
Karen	0.0502538
Ebert	0.0502081
Chiron	0.0501837
FAO	0.0501338
Sheryl	0.0501317
"Defense Agency"	0.0499541
FEMA	0.0497837
Micron	0.0497782
Julie	0.0497183
Lurie	0.0497039
Catherine	0.0497036
Marisleysis	0.0496782
TELLABS	0.0496714
Petra	0.0496366
SkyTel	0.0496055
Sophie	0.0494081
Vicki	0.0493303
COSCO	0.0492633
Kodak	0.0492539
Fiorina	0.0492344
CCB	0.0491243
UNAMET	0.0491147
BankBoston	0.0490881
Mucha	0.0490831
Providian	0.0489945
Caroline	0.0489749
JoAnne	0.0488449
Jill	0.0488256
Helen	0.0486829
Ashley	0.0485701
Greenwald	0.048546
Kris	0.0485437
"Bank of Italy"	0.0485435
Melanie	0.0484488
Berkshire	0.0484282
Hamid	0.0484108
"Financial Supervisory Agency"	0.0483859
"Computer Associates"	0.0483765
"US State Department"	0.0483702
"British Foreign Office"	0.0483351
Nancy	0.0482569
Pam	0.0481664
Teresa	0.048118
Janet	0.0480883
Carrie	0.048047
Darlene	0.0479266
Lyn	0.0478924
ECA	0.0478849
NiSource	0.0477622
APTV	0.0477223
Margaret	0.047669
))
(beach (desc 120365) (sims
shore	0.151489
coast	0.135896
island	0.121992
street	0.121182
lake	0.121145
shoreline	0.117384
park	0.115675
coastline	0.115567
resort	0.11424
sidewalk	0.108454
road	0.105416
mountain	0.104826
"golf course"	0.103825
river	0.100481
highway	0.0971606
forest	0.0963376
area	0.0963181
sea	0.0952905
hill	0.0940702
hillside	0.0940683
land	0.093995
ocean	0.0936598
hotel	0.0922148
lawn	0.0916282
farm	0.0915743
trail	0.0911565
village	0.0879383
campus	0.0869405
home	0.0863107
mall	0.0862141
boardwalk	0.085932
ranch	0.085225
restaurant	0.0848059
pier	0.0843755
site	0.0839033
water	0.082965
garden	0.0826974
desert	0.0824544
airport	0.0817465
field	0.0813192
pond	0.0812443
floor	0.0812355
harbor	0.0811004
dock	0.0809686
landscape	0.0805825
slope	0.0801402
wetlands	0.079551
countryside	0.0794901
Cove	0.0793153
waterfront	0.0792661
town	0.0792356
lagoon	0.0790241
runway	0.0788131
house	0.0778558
neighborhood	0.0777978
deck	0.077456
port	0.0770551
waterway	0.0759621
pool	0.075802
square	0.0755257
waterfall	0.0754997
valley	0.0752513
Bay	0.0752405
ground	0.0751684
Vineyard	0.0748995
sand	0.0745844
vacation	0.0745794
"main street"	0.0742989
dune	0.0742455
border	0.0739542
cliff	0.0738252
grassland	0.0734937
bridge	0.0727368
"coral reef"	0.0726277
scenery	0.0724158
reef	0.072092
track	0.0717788
swamp	0.0716206
city	0.070672
building	0.0702055
"tennis court"	0.0701492
playground	0.0700982
tree	0.0695923
campgrounds	0.0695526
terrain	0.069514
"amusement park"	0.0692665
soil	0.0692272
"theme park"	0.0688645
"national park"	0.0687851
plaza	0.068725
cafe	0.0685007
SPA	0.0680619
boulevard	0.0680068
Marina	0.0679619
inn	0.0677532
bed	0.0674062
suburb	0.0673909
"parking lot"	0.0672365
Marsh	0.067233
"rain forest"	0.0669436
bar	0.0657522
farmland	0.0657371
prairie	0.0652742
Casino	0.06512
woodland	0.0650319
canyon	0.0649807
base	0.0647947
Canal	0.0647179
shop	0.064629
spot	0.0644885
table	0.0643104
property	0.0641378
Vista	0.0640697
pavement	0.063873
wilderness	0.0637447
destination	0.0637164
school	0.063116
"swimming pool"	0.0629425
location	0.062908
complex	0.0628208
center	0.0627753
attraction	0.0626448
grass	0.0626104
Creek	0.0625686
stream	0.0624299
surface	0.0622563
earth	0.0619501
patio	0.061908
theater	0.0618998
jungle	0.0618971
cemetery	0.061819
scene	0.0617028
camp	0.0616473
edge	0.0615934
place	0.0615912
avenue	0.0615373
walkway	0.0614707
freeway	0.0610201
"street corner"	0.0608722
museum	0.0605712
motel	0.0605584
plantation	0.0605333
hilltop	0.0604501
shelf	0.0604011
district	0.0600027
store	0.0597786
roadway	0.0597446
meadow	0.0597165
bus	0.0596131
cottage	0.0595809
Lighthouse	0.0595561
boat	0.0595347
apartment	0.05953
terrace	0.0595115
battlefield	0.0594803
pasture	0.0593776
room	0.0591638
gym	0.0591299
"main road"	0.0590957
station	0.0589525
estate	0.0588666
Sky	0.0587472
north	0.0585722
fairway	0.0585432
zoo	0.0585
bluff	0.0583511
stretch	0.0582889
shelter	0.0581695
wall	0.0580467
facility	0.0580449
stadium	0.0579961
downtown	0.0579107
rock	0.0578968
Grove	0.0575477
church	0.0573667
plant	0.0573542
roof	0.057227
roadside	0.0570625
hospital	0.0570586
ecosystem	0.0570261
mansion	0.056814
porch	0.0564583
air	0.0564564
glacier	0.0564301
Capitol	0.0561001
volcano	0.0559735
Ballpark	0.055964
side	0.0558871
lane	0.0556906
rooftop	0.0553069
path	0.0551638
Disneyland	0.0550346
reservoir	0.0548312
orchard	0.0545893
skyline	0.054572
monument	0.0544706
temple	0.054454
plateau	0.0543983
wildlife	0.0543744
campground	0.0543249
))
("beach ball" (desc 1423.58) (sims
menorah	0.0845131
"tennis ball"	0.0819618
"time clock"	0.0764339
hubcap	0.0680768
sparkler	0.0679279
confetti	0.0664072
truncheon	0.0659475
noisemaker	0.0644121
"soccer ball"	0.0639137
streamer	0.0637225
"petrol bomb"	0.0634846
carnation	0.0632916
barbell	0.0621939
"place mat"	0.0610265
"bowling ball"	0.0603497
blob	0.0591053
"lynch mob"	0.058768
"tissue paper"	0.0585607
chalice	0.0577592
earplugs	0.0574012
racquet	0.0570023
plunger	0.0566954
"Bengal tiger"	0.0562522
"grocery bag"	0.0561553
clicker	0.0561438
"neck brace"	0.0561365
snowball	0.0556468
searchlight	0.0555189
spud	0.0554363
"jigsaw puzzle"	0.055289
"raw meat"	0.0552842
"Santa Claus"	0.0552548
"ping-pong ball"	0.0547159
"shopping bag"	0.0546961
sprinkles	0.0542469
firecracker	0.0537184
"rifle butt"	0.0536541
barrette	0.0534119
Igloo	0.0530347
Orca	0.0528848
Frisbee	0.0526451
"water jug"	0.0525572
hailstone	0.0522602
toolbox	0.0519483
"blind spot"	0.0518927
pinwheel	0.0517788
firebomb	0.0515205
tinsel	0.0515188
"ski race"	0.0502406
"Charlie Hayes"	0.0501312
"water cooler"	0.0496214
slipcover	0.0495843
"gasoline bomb"	0.049134
"hockey stick"	0.0487284
"sound wave"	0.0485642
coverall	0.0485331
"yellow flag"	0.0485317
"monkey wrench"	0.0482147
"tennis racket"	0.0481519
brassiere	0.0480599
"Flozell Adams"	0.0479981
"golf ball"	0.0479055
"lounge chair"	0.0478786
pyrotechnics	0.0477285
"Ford Mustang"	0.0476281
"laser beam"	0.047539
clipboard	0.0471522
"birthday cake"	0.0471499
"life raft"	0.0469809
"Old Trieste"	0.0468954
"Matt Mieske"	0.0466527
poinsettia	0.0465461
Monkees	0.0464866
fuchsia	0.0464624
"beer bottle"	0.0463693
Janssen	0.0463389
crawler	0.0463365
"shower curtain"	0.0462892
sundial	0.0461841
turban	0.0457495
pail	0.0457005
Auger	0.0454862
"social event"	0.0452922
"Golden Bear"	0.0451005
"pine cone"	0.0450815
Jawbreaker	0.0450041
tampon	0.0448925
"pleasure boat"	0.0448459
colander	0.044781
creche	0.044511
rosary	0.0445024
cutlery	0.0444667
crematorium	0.0439792
"hole in the ground"	0.0438388
"golf bag"	0.0438088
"petri dish"	0.0436372
"ice floe"	0.043596
"private corporation"	0.0434437
Sojo	0.0433586
"fire drill"	0.0433414
"loaf of bread"	0.0431439
"duffel bag"	0.0430808
frisee	0.0430663
"cabin cruiser"	0.0430195
"Molotov cocktail"	0.0429609
jig	0.0429044
"French horn"	0.0428029
headband	0.0426633
grub	0.042661
Santas	0.0424554
"teddy bear"	0.0424377
"single file"	0.0423225
roofing	0.0422063
"cold cuts"	0.0420708
"radio telescope"	0.042055
caftan	0.0420269
"Clay Bellinger"	0.0418728
"ball bearing"	0.0418285
toupee	0.0416581
oleander	0.0414708
tarp	0.0414651
"hook shot"	0.0413189
"trash can"	0.0412974
seashell	0.0411671
wristband	0.0411429
"La Russa"	0.041136
octopus	0.0411292
behinds	0.0410902
hanger	0.041088
"beer can"	0.0410607
duffer	0.0410249
"shower stall"	0.0409619
webbing	0.040925
"traffic cop"	0.0408944
fedora	0.0408412
iceberg	0.0408238
Dilfer	0.040777
clapboard	0.0407109
armoire	0.0405469
"Southern Democrats"	0.0403694
poking	0.0403404
backhander	0.0403403
"tree stump"	0.0403221
Pigskin	0.0402571
cockatoo	0.0402453
"Christmas present"	0.0401308
"slip of paper"	0.0400873
))
("Beach Boys" (desc 2858.29) (sims
Byrds	0.196641
Beatles	0.13016
"Bob Dylan"	0.123676
"Rolling Stones"	0.12359
"Neil Young"	0.122429
"Pink Floyd"	0.122075
Motown	0.115698
"Led Zeppelin"	0.110616
"Bob Marley"	0.105604
Aerosmith	0.101366
Zydeco	0.099787
Monkees	0.0973174
"Grateful Dead"	0.0970932
"R&AMP;B"	0.0942573
"Jimi Hendrix"	0.0905932
"Tin Pan Alley"	0.0887731
uptempo	0.0871619
"Steely Dan"	0.0841819
"Woody Guthrie"	0.0810284
"Cole Porter"	0.0798135
R.E.M	0.079229
"Brian Wilson"	0.0777904
"Bruce Springsteen"	0.0768817
Phish	0.0763152
"Beastie Boys"	0.075552
Supremes	0.0752982
Liszt	0.0749654
"Buddy Holly"	0.0748808
Reggae	0.0741956
"Stevie Wonder"	0.0732535
"Elton John"	0.073151
Springsteen	0.0722817
"Sex Pistols"	0.0717818
U@	0.0715235
"Fleetwood Mac"	0.0714576
"Hank Williams"	0.0705624
"Pearl Jam"	0.0702178
polka	0.0685927
bluegrass	0.0681877
"Van Halen"	0.0681306
Schubert	0.0680542
"Spice Girls"	0.0675742
Elvis	0.067548
"Bonnie Raitt"	0.0664584
"Marvin Gaye"	0.0661615
Dylan	0.0652821
calypso	0.0649205
"Michael Jackson"	0.0645064
"Top @"	0.0642912
AC/DC	0.0640602
Fugees	0.0639736
bebop	0.0638236
Guthrie	0.0636897
"Miles Davis"	0.0633991
Sinatra	0.0629665
"Muddy Waters"	0.0627415
"Smashing Pumpkins"	0.0626971
"Dirty Bird"	0.0624716
"Burt Bacharach"	0.0621249
"Janet Jackson"	0.0619636
Gershwin	0.0618089
Metallica	0.0614788
Mahler	0.0613556
EMI	0.0602401
"James Brown"	0.0598552
honky-tonk	0.0593313
"George Gershwin"	0.0590587
"Elvis Presley"	0.0588732
"rock 'n' roll"	0.0587522
"Duke Ellington"	0.0582435
hardcore	0.0579763
"big band"	0.0578599
Korn	0.0575881
Ellington	0.0573019
mariachi	0.0572176
Hendrix	0.0559801
"Frank Sinatra"	0.0551114
klezmer	0.0550219
"Mick Jagger"	0.0549845
"Public Enemy"	0.0547396
gospel	0.0545927
"Billy Joel"	0.0545083
Menudo	0.0542136
SKA	0.0540893
"Orson Welles"	0.0524843
"Willie Nelson"	0.0523614
Presley	0.0518528
"Los Lobos"	0.0518188
"Rat Pack"	0.0507213
"high fidelity"	0.0504188
oldies	0.050173
kink	0.0500512
Marley	0.0500331
"Lilith Fair"	0.0499735
Lennon	0.0498328
merengue	0.049689
"Marilyn Manson"	0.0492647
disco	0.0485896
Cajun	0.0482757
"N Sync"	0.0480273
Rossini	0.0478289
zeppelin	0.0476511
"Lyle Lovett"	0.0473373
"this @@@@"	0.0471892
Rodgers	0.0468858
"Ray Charles"	0.0467158
Schumann	0.0466688
Afro-Cuban	0.0463351
rhythm-and-blues	0.046177
"old country"	0.0461674
Bach	0.0457184
Bruckner	0.0455608
Buffett	0.0455538
"Limp Bizkit"	0.0452764
Prokofiev	0.0451901
"David Bowie"	0.0451046
Hootie	0.0450736
one-night	0.0450239
Sondheim	0.0450174
Gaines	0.0449887
Brahms	0.0444211
"country music"	0.0443415
Mensa	0.044191
Puccini	0.0441654
"Top @@"	0.0441032
Moliere	0.0439377
"BUENA VISTA SOCIAL CLUB"	0.0439026
Chorale	0.0437224
"Eric Clapton"	0.0436968
"Billie Holiday"	0.0436677
"John Lennon"	0.0436252
Bowie	0.0435913
"George Jones"	0.0435218
Eminem	0.0431769
"Tom Jones"	0.0427511
"Earth Day"	0.0426934
"Backstreet Boys"	0.0421218
"folk dance"	0.0420456
"Garth Brooks"	0.0419982
Bellini	0.0419488
"Liberty Bell"	0.0419337
remix	0.041865
"Emmylou Harris"	0.0418369
"Paul McCartney"	0.0411528
"PLO Executive Committee"	0.0409872
NOVA	0.0408502
cabaret	0.040785
Strauss	0.0404994
Eurythmics	0.0404611
"Celine Dion"	0.0403404
minstrel	0.0403282
"British Parliament"	0.0402883
"Borders Books"	0.0402095
Fellini	0.0400587
Streisand	0.0400119
))
("beach house" (desc 4222.96) (sims
duplex	0.134953
cottage	0.119908
"vacation home"	0.117102
"studio apartment"	0.117014
"country house"	0.11127
condominium	0.110827
townhouse	0.109933
"town house"	0.107337
condo	0.101807
"ranch house"	0.0996072
Villa	0.0989608
mansion	0.0935985
bungalow	0.0926203
loft	0.0908468
"row house"	0.0907104
townhouses	0.089827
"summer house"	0.0851507
two-bedroom	0.0829208
"mobile home"	0.0796875
estate	0.0795654
brownstone	0.0785065
farmhouse	0.0761669
penthouse	0.0739911
motel	0.0727382
high-rise	0.0725039
tavern	0.0717098
"apartment house"	0.0713146
Castle	0.0688809
inn	0.0687901
cabin	0.0684518
ranch	0.0663514
"cattle ranch"	0.0655928
campground	0.0653198
"apartment building"	0.0644483
guesthouse	0.064448
houseboat	0.0644235
Igloo	0.0639314
tux	0.0636988
"log cabin"	0.0634399
"boarding house"	0.0633841
Colonial	0.0623322
shredder	0.0622707
shack	0.0620272
bed-and-breakfast	0.0605114
"trading post"	0.0601235
"parcel of land"	0.0593374
walk-up	0.0592106
"radio telescope"	0.0591344
chalet	0.0589353
lean-to	0.0589187
"recording studio"	0.0588228
Chateau	0.0586827
convertible	0.0583165
"piece of land"	0.0579107
RV	0.0578569
nunnery	0.0577675
Convent	0.0576355
rowboat	0.0570511
storefront	0.0569001
"mink coat"	0.0565767
"hole in the ground"	0.0565043
"Chevrolet Blazer"	0.0559026
Marina	0.0558562
nook	0.0557074
"conference center"	0.0553896
"school bus"	0.0553306
"motel room"	0.0550749
"Lincoln Town Car"	0.0549367
"trailer park"	0.0546995
coop	0.0545356
"electric car"	0.0542454
winery	0.0541435
two-story	0.0540069
"chicken coop"	0.0534351
Victorian	0.0533763
"amusement park"	0.0532412
"Ford Explorer"	0.0529345
"parking area"	0.0528945
Cove	0.052629
"law practice"	0.0523394
"fantasy world"	0.0519676
"white elephant"	0.0517918
"Plaza Hotel"	0.051784
powerboat	0.0517078
hut	0.0513592
"manor house"	0.0513352
"nest egg"	0.0512218
housemate	0.0507948
barn	0.0506898
hovel	0.0502309
seashore	0.0502161
hatchback	0.0495319
Hummer	0.0495258
manse	0.0494481
culvert	0.0493858
"sports car"	0.0493458
Lamborghini	0.0492761
enclosure	0.0491815
"domed stadium"	0.0489368
dwelling	0.0484624
digs	0.0484392
"rocking chair"	0.0483153
"B&AMP;B"	0.048153
"Jeep Cherokee"	0.0477545
emporium	0.0476993
"resort hotel"	0.0476188
hangar	0.0474603
getaway	0.0474335
hacienda	0.0473162
co-op	0.0472154
"steam locomotive"	0.0471426
snowshoes	0.0470836
"piece of furniture"	0.0470605
"dairy farm"	0.0470446
hostel	0.0470155
"sitting room"	0.0466649
"office building"	0.0465331
flats	0.0463259
Bellagio	0.0462884
"Holiday Inn"	0.0462702
"Grand Hotel"	0.0462565
"teaching method"	0.0462524
"shoe store"	0.0462413
emulator	0.0461979
"vacant lot"	0.0461556
"cassette recorder"	0.0461527
beachfront	0.0460492
"flour mill"	0.0459941
sanatorium	0.0459105
camcorder	0.0457149
"particle accelerator"	0.0456571
bed-and-breakfasts	0.0456374
"liquor store"	0.0454363
timepiece	0.0451676
seawall	0.0451607
hammock	0.0451065
"stone wall"	0.0449267
"retail chain"	0.0448363
"office space"	0.0447671
steamer	0.0444447
paradise	0.0444379
Palazzo	0.0444268
hideaway	0.04439
limousine	0.0443667
fishbowl	0.0443074
"minority interest"	0.0442301
treehouse	0.0442237
nightclub	0.0442199
"toy store"	0.0441826
"truck stop"	0.0441492
"repair shop"	0.0439897
"music school"	0.0439598
"danger zone"	0.0438432
"fishing rod"	0.0437868
"beauty salon"	0.0437143
SPA	0.0436906
campsite	0.0435883
"cabin cruiser"	0.0435825
rink	0.0435243
manor	0.0434282
blimp	0.0433469
coastline	0.0433459
mini-van	0.0433307
PRIMESTAR	0.0433204
"office block"	0.0432021
bistro	0.0431084
trestle	0.0431041
dormitory	0.0430434
surroundings	0.0429544
supercomputer	0.0428408
"blind spot"	0.0428351
"athletic facility"	0.0427989
"shopping center"	0.0427399
"line of products"	0.0426019
"surveillance system"	0.0425363
"Terminal @"	0.0424094
"jewelry store"	0.0423794
discotheque	0.0423638
"three units"	0.0422841
"Rockefeller Center"	0.0422686
"game room"	0.0422489
"general store"	0.0422267
"paper mill"	0.042168
"swimming pool"	0.0421385
"savings bank"	0.0421275
"Andrews Air Force Base"	0.0421068
"Chrysler Building"	0.0421001
"pumping station"	0.0420321
cubicle	0.0419477
hospice	0.0418946
"movie theater"	0.0418844
"community newspaper"	0.0418679
subdivision	0.0418172
"bomb shelter"	0.0417075
"John Henry"	0.0416927
showroom	0.0416548
lass	0.0414949
"Empire State"	0.0414705
derriere	0.0414624
"rooming house"	0.0414248
))
("beach towel" (desc 1061.37) (sims
"sport shirt"	0.109104
"sheet of paper"	0.0931137
sweatshirt	0.086959
paintbrush	0.0824123
bandanna	0.0811613
sarong	0.0763198
Poncho	0.0763076
crock	0.0741088
panty	0.0721664
sparkler	0.0711954
thesaurus	0.0704901
hardback	0.0704357
"loaf of bread"	0.069453
clipboard	0.068739
trouser	0.0684622
"dollar bill"	0.0683145
suspender	0.0682186
toaster	0.0678947
pantyhose	0.067849
notepad	0.0677576
"lounge chair"	0.0652075
"rubber band"	0.0649679
pajamas	0.0648079
windbreaker	0.0645226
bonbon	0.0643855
"polo shirt"	0.063992
cellphone	0.063931
"lawn mower"	0.0631106
"life preserver"	0.0630727
remotes	0.0626092
"lawn chair"	0.0617412
napkin	0.0614679
deftness	0.0613356
"running shoe"	0.060995
pantsuit	0.0609869
"monkey wrench"	0.0609207
clicker	0.0607521
"life jacket"	0.0606684
"free love"	0.0600494
shawl	0.0600221
"duffel bag"	0.0595683
blouse	0.0591351
"book bag"	0.0590301
"life raft"	0.0589962
pompom	0.0589163
turtleneck	0.0589116
"tennis shoe"	0.0585822
megaphone	0.0581923
"vacuum cleaner"	0.0579459
nightgown	0.0579425
eyeglasses	0.0577229
"picture book"	0.0576515
"hypodermic needle"	0.0573134
"grocery bag"	0.0572532
"paring knife"	0.0569559
bedsheets	0.0568769
"pocket watch"	0.056693
"greeting card"	0.056528
camcorder	0.056475
reagent	0.0564633
"bowling ball"	0.0562451
potty	0.056224
rosary	0.0559305
dimple	0.0557656
"yellow flag"	0.0557243
"spark plug"	0.0555603
workbook	0.0551795
floppy	0.0550177
pail	0.0549501
duster	0.0547692
boob	0.0547254
STETSON	0.0544677
surfboard	0.0544286
"sewing machine"	0.0544226
bib	0.0541381
dryer	0.0541131
slacks	0.0539223
"fishing rod"	0.0537068
"baseball glove"	0.0534816
"coffee cup"	0.0534443
crotch	0.0533531
"videocassette recorder"	0.0532727
derriere	0.0532088
"off-speed pitch"	0.05318
pouch	0.0531007
pajama	0.0529439
"tape measure"	0.0527244
influence-peddling	0.0524226
"evening gown"	0.0524194
satchel	0.052367
"raw talent"	0.0521397
hubcap	0.0520687
penmanship	0.0518882
swimsuit	0.0515873
wheelbarrow	0.0513721
thermometer	0.0510093
"beam of light"	0.0509621
trowel	0.0509444
tearoom	0.0509105
pocketbook	0.0508532
"face mask"	0.0504466
"dining table"	0.0500968
undershirt	0.050047
"flower garden"	0.050021
"chocolate chip cookie"	0.0500045
taillight	0.0498043
doorbell	0.0497238
harpoon	0.0495167
parka	0.0494549
"Easter egg"	0.0493041
"shower curtain"	0.0492532
hammock	0.0492414
poinsettia	0.0492393
plunger	0.0491832
"dress shirt"	0.0491261
bodysuits	0.0491192
frock	0.0489127
dowel	0.0488508
"easy chair"	0.0487001
"shoulder pad"	0.0486723
wristband	0.0486665
"tennis ball"	0.0486385
knapsack	0.0485393
"dark glasses"	0.0483747
toolbox	0.0480488
"garden hose"	0.047917
necktie	0.0478124
"yellow light"	0.0475576
purifier	0.047523
toothbrush	0.0475219
fave	0.0474453
"medicine cabinet"	0.0473794
"water bottle"	0.0470899
shindig	0.0470548
"shopping cart"	0.0470429
nonentity	0.0469959
"data file"	0.0469199
broom	0.0468489
rump	0.0467646
syllabus	0.0466009
URL	0.0465836
sidearm	0.0465341
submersible	0.0464582
chaise	0.0461617
moisturizer	0.0460724
pullover	0.0460213
"piece of cloth"	0.0460196
heater	0.0459329
"mind's eye"	0.0456069
searchlight	0.0455778
drumstick	0.0455127
heartstrings	0.0454356
"family doctor"	0.0454162
typography	0.0453094
"black flag"	0.0452201
"fellow traveler"	0.0449828
pillowcase	0.0449727
guffaw	0.0449608
"tennis racket"	0.0449328
"man's body"	0.0449294
"credit report"	0.044834
Momma	0.0447889
"coloring book"	0.0447545
lapel	0.0447343
"candy bar"	0.0447108
mitt	0.0446082
"white flag"	0.0445159
"coffee mug"	0.0444955
"three pitchers"	0.0444562
fastener	0.0442034
"golf bag"	0.0441058
carry-on	0.0440499
shaver	0.0438611
handkerchief	0.0438511
nightstick	0.0438418
"studio apartment"	0.0437377
"charge card"	0.0436644
"slip of paper"	0.0436288
"septic tank"	0.0435812
"name tag"	0.0435511
pinup	0.0435414
mitzvah	0.0435219
"joie de vivre"	0.043494
"life vest"	0.0434734
raincoat	0.0434655
"tape recorder"	0.0434441
jumpsuit	0.0433424
"landing craft"	0.0432592
IC	0.0431797
"guardian angel"	0.0431124
hand-me-down	0.0429985
armful	0.0429677
inset	0.042818
awning	0.0427688
Kimmel	0.0427075
"Land Rover"	0.0426887
"deposit box"	0.0426861
"baseball bat"	0.0426762
"rescue equipment"	0.0426162
"gas stove"	0.0425795
))
(beachfront (desc 4054.04) (sims
oceanfront	0.413636
beachside	0.268876
lakeside	0.199179
lakefront	0.188444
riverfront	0.170353
waterfront	0.146764
"Left Bank"	0.126167
oceanside	0.109122
Buckhead	0.105542
"Queen Anne"	0.103191
"Greek Revival"	0.102935
shoreline	0.099781
off-campus	0.0949579
riverside	0.0939774
"Hollywood Hills"	0.091902
clapboard	0.0915283
hilltop	0.091409
two-story	0.0897415
"cinder block"	0.0855263
multilevel	0.0851954
stucco	0.0838666
Deco	0.0832509
"South Beach"	0.0818002
rebuilt	0.0789183
mountainside	0.0785932
"Studio City"	0.0756919
Midtown	0.0753511
"Fifth Avenue"	0.0752604
"Park Avenue"	0.0742241
hillside	0.0730155
"Deer Valley"	0.0722825
"Miami Beach"	0.0719039
"Century City"	0.0717201
"South End"	0.0713163
Brentwood	0.0710177
Tribeca	0.0708009
"South Bay"	0.0705269
Bronx	0.0705135
"East Village"	0.0704979
"ground floor"	0.0690005
mountaintop	0.0687398
Reseda	0.067799
"North Shore"	0.0670779
"open air"	0.0666969
"West Hollywood"	0.0666525
Malibu	0.0664335
Bridgehampton	0.0657233
glitzy	0.0654017
"South Shore"	0.0628819
southland	0.0624428
"Upper East Side"	0.0620456
top-class	0.0617832
"south side"	0.0617531
adobe	0.0613052
coastline	0.0604774
"West Los Angeles"	0.0600727
kibbutz	0.0598002
"Gold Coast"	0.059573
Soho	0.0590019
"Bel Air"	0.05857
"East Hampton"	0.0583702
"Sunset Strip"	0.0583696
"Santa Monica"	0.0580583
"South Bronx"	0.0577746
"east side"	0.0575485
"Tar River"	0.0569579
spiffy	0.0568182
"Lake Worth"	0.0566804
"Palm Beach"	0.0566485
"Van Nuys"	0.0566364
Chatsworth	0.0565016
Alpharetta	0.0561746
"art deco"	0.0559215
"Coney Island"	0.0558668
"North End"	0.0550285
"College Park"	0.0549466
brownstone	0.0546374
Westport	0.05454
no-frills	0.0543234
Tudor	0.0542468
"Mandalay Bay"	0.053535
"Mojave Desert"	0.0534314
Cheshire	0.0533087
"French Quarter"	0.0532666
"Orthodox Jewish"	0.0531739
Stockbridge	0.0531505
"Brighton Beach"	0.0531016
"Boca Raton"	0.0529045
"Beverly Hills"	0.0522389
"Park City"	0.052032
Englewood	0.0519008
Tarzana	0.0517268
frontage	0.0515085
Catskill	0.0515051
townhouse	0.0514653
"first floor"	0.0513516
condo	0.0510089
"small white"	0.0508143
"west side"	0.0507847
"beaux arts"	0.0507677
"North Beach"	0.0504506
manor	0.0499602
Janis	0.0498511
kitschy	0.0497303
"North Hollywood"	0.0495015
"Sun Valley"	0.0492669
"Greenwich Village"	0.0490849
Lenexa	0.0487968
"Pacific Coast"	0.0483294
boardwalk	0.0483253
riverbank	0.0482776
"skid row"	0.0481407
"Fayette County"	0.0480713
Cornish	0.0480126
"Cedar Lodge"	0.0479343
"Cape Cod"	0.0478708
"Overland Park"	0.0476444
world-famous	0.0475691
Princeville	0.0475402
state-level	0.0473258
limestone	0.0470647
"Woodland Hills"	0.0470533
Hyatt	0.046774
"main street"	0.0464596
Clifton	0.0463853
gingerbread	0.0463685
"free form"	0.0461395
showplace	0.0460903
"picture postcard"	0.0460596
"beach house"	0.0460492
rooftop	0.0460396
Wentworth	0.0460194
riverbed	0.0459543
Bensonhurst	0.0456338
regency	0.0455879
"Beacon Hill"	0.0454233
tenement	0.0451982
blacktop	0.0449017
shanty	0.0448695
Bund	0.044481
"Midtown Manhattan"	0.0444181
Roxbury	0.0443345
"Crown Heights"	0.0442665
"Union City"	0.0441392
Tex-Mex	0.0440393
"Another @,@@@"	0.0438817
cropland	0.0438294
Cumberland	0.0435981
Adirondack	0.0434843
"Highland Park"	0.0433901
Encino	0.0433495
Acadian	0.0432906
Catskills	0.0430033
"West Berlin"	0.0428804
"East Los Angeles"	0.0425631
Quay	0.0424505
"Ocean City"	0.0424098
storefront	0.0423408
Americanized	0.0422352
Harlem	0.0420666
roadside	0.0420294
Ijaw	0.0417526
Savoy	0.0416438
"Cherry Hill"	0.0415478
condominium	0.0415026
Okinawan	0.0414473
"Colorado River"	0.041422
"Treasure Island"	0.041345
"Lake Tahoe"	0.0412347
"Hudson Valley"	0.0412086
centerfield	0.0411271
"Columbia River"	0.0411079
on-campus	0.0409759
"Sun City"	0.0409515
"San Fernando Valley"	0.0409021
Riviera	0.0408848
"Grand Canal"	0.0408632
"South Boston"	0.0408509
"Flagler County"	0.0408281
Ozarks	0.0407619
"Israeli Arab"	0.0407433
"Bible Belt"	0.0406849
"inner city"	0.0405565
"South Texas"	0.0405213
houseboat	0.0404297
roadway	0.0403438
craftsman	0.0400238
))
(beachgoers (desc 1627.03) (sims
hiker	0.096219
canoeist	0.0950818
boater	0.0900846
meatpackers	0.0900111
picnicker	0.0860513
bikers	0.083563
angler	0.0789563
jogger	0.0772943
"bird watcher"	0.0768274
snowboarders	0.0767107
"life preserver"	0.0734273
camper	0.0714147
vacationer	0.0696361
birder	0.0684512
wellwisher	0.0676139
sightseer	0.0665321
snowmobilers	0.0643104
gawkers	0.0635835
celebs	0.0626246
lobstermen	0.0616933
passersby	0.0610986
sunbather	0.0608114
"police sergeant"	0.0598849
reveler	0.0589712
Angelenos	0.0587111
Midwesterners	0.0587024
supplicant	0.0563558
"French people"	0.0562206
passers-by	0.0561838
autoworkers	0.0549326
"beer drinker"	0.0540826
Arab-Americans	0.0539924
vaulter	0.0537412
triathletes	0.052911
"property owner"	0.0527294
trespasser	0.0527021
"union worker"	0.0524146
Chinese-Indonesians	0.0523114
Frenchmen	0.052307
churchgoer	0.0520674
VCs	0.0519602
conservationist	0.0512712
"business traveler"	0.0510402
Koskinen	0.050886
paramedic	0.0505582
worshiper	0.050504
Iowan	0.0499348
concertgoers	0.049815
Quebecers	0.0484091
stroller	0.0482441
"two pitchers"	0.0480721
vintner	0.04786
onlooker	0.0477128
"Jet Skis"	0.0475501
duffer	0.0474952
"faculty member"	0.0471605
Atlantans	0.0471459
boarder	0.0466345
bettor	0.0466309
Parisian	0.046543
"Kosovo Serbs"	0.0463044
Ukrainians	0.0462542
storekeeper	0.0454592
techies	0.0453424
"service staff"	0.0451182
"Frederick Sumaye"	0.0450257
Bogle	0.0446968
stone-throwers	0.0446268
centenarian	0.0443746
"stamp collector"	0.0443509
congregants	0.0442833
lifeguard	0.0442528
"South Carolinian"	0.0441301
registrant	0.0441131
"Pepsico Inc."	0.0440892
well-wisher	0.0439378
Ecuadoreans	0.0439024
Londoner	0.0438509
"weather forecaster"	0.0436906
habitue	0.0436905
clinician	0.0434504
Wenger	0.0432372
"department head"	0.0430304
foodies	0.0430142
Maag	0.0429097
"sea gull"	0.042845
"market watcher"	0.0427498
winemaker	0.0425693
non-Muslims	0.0425236
enactors	0.0423815
theatergoer	0.0423229
attendees	0.0422119
rappers	0.0422029
"church member"	0.0422005
Realtor	0.0420274
gamers	0.0420247
innkeeper	0.0418799
job-seekers	0.0418445
businesswomen	0.0417496
Intimidator	0.0416454
Jovanovic	0.0414187
stagehand	0.041244
exerciser	0.0411367
Creationists	0.0410251
Counsell	0.0409885
imitator	0.0409223
Mercurio	0.0407778
Imperatori	0.0407018
moviegoer	0.0407017
"dairy farmer"	0.0406487
householder	0.040594
Omnipoint	0.0402401
"department employee"	0.0401203
houseguest	0.0401048
Kearin	0.0400625
"toy maker"	0.0400231
))
(beachhead (desc 2970.89) (sims
foothold	0.13866
toehold	0.126818
"sphere of influence"	0.0916006
"test case"	0.0686706
granary	0.0635257
"first school"	0.0633536
"branch office"	0.0623382
"music school"	0.0613868
"sales outlet"	0.0610481
sub-branches	0.0610409
"trading post"	0.0596601
"supply route"	0.0587505
"development center"	0.056655
terminus	0.0553182
"safety valve"	0.0548214
"competitive advantage"	0.0547329
"reference point"	0.0542362
busiest	0.0539205
"internment camp"	0.0535873
polity	0.0535459
incubator	0.0532445
"turning point"	0.0530671
"center of gravity"	0.0528316
"data system"	0.0528221
"morale booster"	0.0526239
"double agent"	0.0525189
nexus	0.0524846
infantryman	0.0522083
"growth prospect"	0.0521161
"early warning system"	0.0515813
"point of reference"	0.0514443
"stock company"	0.0513667
"endowment fund"	0.0513075
"key market"	0.0512428
"Field Poll"	0.0511319
"financial center"	0.0506103
near-monopoly	0.0505841
"decisive factor"	0.0501815
"jewelry store"	0.0499678
"trunk road"	0.0498071
"nuclear-powered submarine"	0.049741
"joint-stock company"	0.0496723
"main office"	0.0493786
"command post"	0.0493711
"distribution system"	0.0491479
"sounding board"	0.0489556
"leadership role"	0.0487589
"personal relation"	0.0487283
"parliamentary democracy"	0.0486352
"takeover target"	0.0486241
kingmaker	0.0483251
"information provider"	0.0482118
Consulate-General	0.0481893
"pizza parlor"	0.0480069
Nenjiang	0.0479777
Songhua	0.0477661
tallest	0.0476726
headquarters	0.0476686
"launching pad"	0.0476588
goal-scorer	0.0475883
battleground	0.0475718
steppingstone	0.047571
"account executive"	0.0472869
disincentive	0.047217
"defense mechanism"	0.0471047
firewall	0.0470602
A@XX	0.0470448
roadshow	0.0470226
"African Economic Community"	0.046942
"fall guy"	0.0468856
eighth-graders	0.0468626
"gambling casino"	0.046817
"lingua franca"	0.0465423
"opera company"	0.0464782
"rallying cry"	0.0464176
"rallying point"	0.0464148
kennel	0.0459918
"component part"	0.0457596
"aerospace giant"	0.0456966
"credit system"	0.0456801
scriptwriter	0.0456151
"distribution network"	0.0454876
"life insurer"	0.0452995
"lightning rod"	0.0452423
"Roman Catholicism"	0.0452248
"district manager"	0.0452104
"big leaguer"	0.0451253
"staging area"	0.0450475
well-established	0.045023
"black person"	0.044969
interlocutor	0.0449387
"Liaohe River"	0.0447627
"booking agent"	0.0447393
protectorate	0.044695
troubleshooter	0.0446514
uptrend	0.0446434
batboy	0.0440221
arch-rival	0.0439268
"support system"	0.04382
"stepping stone"	0.0438199
Quicktime	0.0437344
inroad	0.0436976
cog	0.0436946
"nest egg"	0.0434636
"ice rink"	0.0433477
"language school"	0.0432616
"international criminal court"	0.0432474
"base of operations"	0.0431652
depository	0.0430744
Gambit	0.0428237
lifeline	0.0426588
homepages	0.0425411
stimulus	0.0425205
"alarm bell"	0.042389
"policy change"	0.04229
"white person"	0.042104
"trunk line"	0.0419864
ensign	0.0419453
"supply line"	0.0419106
"object lesson"	0.0418892
multi-ethnic	0.0416987
moneymaker	0.041679
"transport ship"	0.0415809
groundwork	0.0415681
"reorganization plan"	0.0415169
"upper hand"	0.0414831
first-rounder	0.041402
pitchman	0.0413998
"one school"	0.0413339
"law practice"	0.0412858
consulate	0.0412081
fiefdom	0.0411997
repository	0.0411883
timeframe	0.0411463
setter	0.0411399
nucleus	0.0411379
"bargaining chip"	0.041045
"commercial enterprise"	0.041019
"tea house"	0.0410158
"foster parent"	0.0410036
"hunting ground"	0.0409433
"high-water mark"	0.0409177
corrective	0.0408546
realignment	0.0407822
"sports fan"	0.0407536
"postmaster general"	0.040718
"manufacturing plant"	0.0406791
good-neighborly	0.0406547
selloffs	0.04064
"traffic cop"	0.0406392
homepage	0.0405721
"Suzhou Industrial Park"	0.0403957
"major leaguer"	0.0403836
"vehicle sale"	0.0402593
"price competition"	0.040254
showplace	0.0401802
"market penetration"	0.0401203
"monitoring program"	0.0401086
))
(beachside (desc 1259.15) (sims
oceanfront	0.350246
beachfront	0.268876
lakeside	0.251869
lakefront	0.139459
oceanside	0.10739
"Deer Valley"	0.103265
Greenbrier	0.100551
"open air"	0.0917362
glitzy	0.0909727
mountainside	0.0894421
waterfront	0.0871474
"picture postcard"	0.0838974
"Greek Revival"	0.0830286
Tex-Mex	0.0824903
poolside	0.0818904
hilltop	0.0815318
"Left Bank"	0.0801564
"Mandalay Bay"	0.0785122
Savoy	0.0778308
Cornish	0.077464
mountaintop	0.0752441
Catskill	0.0749593
Adirondack	0.0749488
off-campus	0.0724799
Hyatt	0.0723129
Midtown	0.0706987
"night time"	0.0695481
Brentwood	0.0685974
top-class	0.0684724
"Israeli Arab"	0.0684354
riverside	0.0682207
"South Bay"	0.0679886
"South Beach"	0.0678563
"Sun Valley"	0.0661966
Catskills	0.0661729
"Rocky Mountain"	0.0659997
no-frills	0.0654794
kibbutz	0.0648629
Buckhead	0.0647694
"Park City"	0.0644149
clapboard	0.0643877
self-service	0.0640807
"Eastern Shore"	0.063594
"Hyatt Regency"	0.0626866
"Florida Panhandle"	0.0616619
Phoenician	0.0616068
Westin	0.0610153
"Queen Anne"	0.0601858
multilevel	0.0597866
"South Shore"	0.0593813
Druse	0.0592526
"Montego Bay"	0.0591035
Acadian	0.0585988
Bellagio	0.0584707
"hot spring"	0.0578926
Provencal	0.0576489
Sheraton	0.0575266
Ritz-Carlton	0.0569076
Peachtree	0.0564244
"Miami Beach"	0.0564109
"Lake Tahoe"	0.0560789
riverfront	0.0557715
Tiki	0.0546906
Malibu	0.0546094
"Sunset Strip"	0.0540725
kitschy	0.0538862
spiffy	0.0537608
"cinder block"	0.05354
Riviera	0.0535171
snowbird	0.0535007
gingerbread	0.0531029
Starwood	0.0529314
"Club Med"	0.0529049
Berber	0.0527829
"Gold Coast"	0.0525766
Decani	0.05195
"North Island"	0.051931
"Bel Air"	0.050933
"East Village"	0.0507583
"Shiite Muslim"	0.0505996
"Fayette County"	0.0505207
regency	0.0503503
"West Hollywood"	0.0502533
Waldorf-Astoria	0.050208
"LA COSTA"	0.0500934
Yorkshire	0.0499481
"jet set"	0.0494364
Cheshire	0.0491448
adobe	0.0483225
"Hollywood Hills"	0.0482584
Maasai	0.0482436
tapa	0.0478777
haute	0.0472487
Bridgehampton	0.0470793
"San Carlos"	0.0470488
"West Los Angeles"	0.0469986
"back country"	0.046107
Montenegrin	0.0457698
shanty	0.0455874
Killington	0.0454942
tabletop	0.0448588
BASQUE	0.0445974
curvy	0.044546
"West Indian"	0.0445393
"North Beach"	0.044524
dang	0.044387
Sipadan	0.0443783
foothill	0.044274
pre-Olympic	0.044044
rebuilt	0.0436748
"French Alps"	0.0435678
world-famous	0.0430826
"French Quarter"	0.0428153
forgotten	0.0426903
Tudor	0.0425593
Loews	0.0422533
"Nile Delta"	0.0420782
Wentworth	0.0420297
Stockbridge	0.0417923
Hani	0.0417361
deadend	0.0416246
Americanized	0.0415817
kiddy	0.0413319
"Central Texas"	0.0409111
storybook	0.0409003
"Van Nuys"	0.0408582
Marjayoun	0.0407373
"East Hampton"	0.040652
"American Legion"	0.0402925
"over three"	0.0401912
"yacht club"	0.0401293
Bessette	0.0400112
))
(beacon (desc 18387.2) (sims
transmitter	0.0857631
paragon	0.0660289
transponder	0.0656325
sensor	0.063554
flare	0.0606123
"role model"	0.0602098
symbol	0.0599054
"guardian angel"	0.0594093
magnet	0.0546157
lantern	0.0545354
radar	0.0540105
detector	0.0533788
icon	0.0532074
"sounding board"	0.0528783
glow	0.0527865
oasis	0.0526447
antenna	0.0524897
sentry	0.0511065
"radio transmitter"	0.0508024
glimmer	0.0504464
guarantor	0.0504244
altimeter	0.0501471
Lighthouse	0.0493168
beeper	0.0486037
sonar	0.047827
landmark	0.047632
"black box"	0.0475589
bastion	0.0467367
Siren	0.04654
instrument	0.0463889
marker	0.0460683
signpost	0.0458105
torch	0.0455276
touchstone	0.0450564
"lightning rod"	0.0448265
pillar	0.0443634
haven	0.0443064
laser	0.0441403
emblem	0.0436902
Satellite	0.0431237
recorder	0.0429265
candle	0.0428869
embodiment	0.0417861
arbiter	0.0416256
Tower	0.0415208
"reference point"	0.0415047
"warning light"	0.0413994
"good example"	0.0407475
"meeting place"	0.0403315
disincentive	0.0402936
badge	0.0402871
bulwark	0.0400569
))
("Beacon Hill" (desc 4040.44) (sims
"Capitol Hill"	0.123449
"Upper East Side"	0.113057
"Upper West Side"	0.102966
"Left Bank"	0.0992396
"east side"	0.0910244
"Park Avenue"	0.0831098
"Central Park West"	0.0729331
riverfront	0.072646
"Lower East Side"	0.0707969
Buckhead	0.0703929
"skid row"	0.0678799
"First Avenue"	0.0639233
"west side"	0.0631493
"Staten Island"	0.0630625
Chatsworth	0.0601672
"Orthodox Jewish"	0.0596518
"Fifth Avenue"	0.0590058
Roxbury	0.0576584
Bedford-Stuyvesant	0.0573197
"first floor"	0.0568389
oceanfront	0.0568129
lakefront	0.0567716
"South Beach"	0.0566787
"North Beach"	0.0564385
"north side"	0.0561838
"Empire State"	0.0556993
"Hollywood Hills"	0.0554455
"Crown Heights"	0.0551347
"Gold Coast"	0.0544776
Bensonhurst	0.0542751
"Studio City"	0.0526377
kibbutz	0.0517793
Wallingford	0.0513675
"Miami Beach"	0.0508174
"Washington Heights"	0.0489112
"ground floor"	0.0486397
Chinatown	0.0476886
"Bel Air"	0.0472722
"South Boston"	0.0471992
"East Coast"	0.0468579
Northland	0.0463461
cul-de-sac	0.046285
stilt	0.0460331
"Hong Kong Island"	0.0458618
Williamsburg	0.0457995
"East Los Angeles"	0.0456784
"south side"	0.0455855
beachfront	0.0454233
"Borough Park"	0.0452631
"Cape Cod"	0.0450137
"Garvaghy Road"	0.0443954
Brentwood	0.0441918
"September @, @@@@"	0.0439226
"East End"	0.0437926
"Woodland Hills"	0.0436667
"East Boston"	0.0432079
"DeKalb County"	0.0430308
Mayfair	0.042925
"North Hollywood"	0.0427376
Calabasas	0.0427353
Westfield	0.0427089
"Little Havana"	0.0424755
"Park Slope"	0.0421572
Tarzana	0.0421057
"Treasure Island"	0.0420153
Kirkland	0.041975
"Outer Banks"	0.0418295
Mayberry	0.0417655
Bangor	0.0417149
"Bay Ridge"	0.0414767
"Republican House"	0.0412229
"East New York"	0.0411972
Riverdale	0.0410815
hilltop	0.0409689
non-Indian	0.0409525
"Granada Hills"	0.0408738
shoestring	0.0403318
Mexican-American	0.0402276
"Eastern European"	0.0401848
"Greenwich Village"	0.0401205
))
(bead (desc 19289.2) (sims
beads	0.158618
beading	0.147945
sequin	0.136537
embroidery	0.13017
rhinestone	0.114005
ribbon	0.11325
feather	0.110295
bracelet	0.104545
ornament	0.103988
Pearl	0.102506
flower	0.100792
pendant	0.100697
lace	0.0998055
necklace	0.0992807
earring	0.0902274
pin	0.0901594
tile	0.0875403
streamer	0.0872052
crucifix	0.0866155
fabric	0.0848691
jewelry	0.0835499
velvet	0.0817309
rosary	0.0809839
balloon	0.0794269
tiara	0.0781864
thread	0.0776716
scarf	0.076873
bunting	0.0761479
robe	0.0755448
stone	0.0754423
carving	0.0751422
fur	0.0748113
crystal	0.0741604
sweater	0.0730974
jade	0.072845
amulet	0.0728078
hat	0.0727262
feathers	0.0726926
ruffle	0.0725168
Pottery	0.071871
wig	0.0717811
cloth	0.0716962
dress	0.0716432
"Star of David"	0.0715032
strand	0.071294
Poncho	0.0709481
jacket	0.0709454
sunglasses	0.070743
satin	0.0702514
shawl	0.0697388
silk	0.069618
figurine	0.0695796
confetti	0.0679243
lantern	0.0677898
"rubber band"	0.0677487
diamond	0.0677132
seashell	0.0676903
jewel	0.0671641
coat	0.0669145
braid	0.0664852
lamp	0.0664089
mask	0.0662799
brooch	0.0656236
color	0.0655528
skirt	0.0654851
shoe	0.0651245
wreath	0.0650055
glass	0.0647908
T-shirt	0.0643671
hair	0.0643571
sculpture	0.0642758
decoration	0.0642033
vase	0.0640133
headdress	0.0639164
flag	0.0638435
Coin	0.0637682
lettering	0.0636384
plastic	0.0630959
cutout	0.062994
headband	0.0628435
button	0.0627303
"teddy bear"	0.0626596
leather	0.0625896
collar	0.0625696
lipstick	0.062206
linen	0.0620079
blanket	0.0619431
stripe	0.0618737
brick	0.0618566
glove	0.061656
gown	0.0615815
sock	0.0612614
accessory	0.0610749
gemstone	0.0608641
yarn	0.0608361
slipper	0.0608327
Sash	0.0608181
logo	0.0607247
pebble	0.0603794
tapestry	0.0603049
sticker	0.0599713
sheet	0.0599587
object	0.0598967
crosse	0.0598652
tattoo	0.0597991
banner	0.0596416
ware	0.0596367
medallion	0.0595806
chandelier	0.0593455
bottle	0.0593324
ceramic	0.059239
mosaic	0.0589073
handbag	0.0587296
splotch	0.0585099
garland	0.0583789
dot	0.0579416
trinket	0.0579153
quilt	0.0577835
barrette	0.057733
bow	0.0575703
Shell	0.0574119
glitter	0.0573591
rod	0.0571388
leaf	0.0570937
droplet	0.0570368
filament	0.0570072
statuette	0.0569917
bauble	0.056961
pigment	0.0569016
sandal	0.0568966
turquoise	0.0567305
helmet	0.0563888
furniture	0.0562498
Bonnet	0.0562342
earpiece	0.0561563
pellet	0.0560913
rug	0.0560312
"golf ball"	0.0560194
blossom	0.0559219
bag	0.0556408
shirt	0.0556316
doll	0.055616
Clothing	0.0555904
utensil	0.0555022
tumbler	0.0554943
Pink	0.0554731
tube	0.0549955
curtain	0.0549345
awning	0.0548728
dragon	0.0548603
bandanna	0.0546
needle	0.054423
carnation	0.054207
silverware	0.0540324
apron	0.0539201
bouquet	0.0536323
candle	0.0535466
coating	0.0535024
chalice	0.0534276
pipe	0.0534161
pant	0.0534032
poster	0.0533052
chiffon	0.0533011
enamel	0.0532558
rectangle	0.0532473
pillow	0.0529463
fragment	0.0529084
stitching	0.0528882
piping	0.0527509
fiber	0.0526945
"national flag"	0.052571
tights	0.0525326
vest	0.0525073
threads	0.0525022
"light bulb"	0.0524655
Sari	0.0524173
"baseball cap"	0.0524072
knife	0.0523927
eyeliner	0.052367
furnishings	0.0523649
vas	0.0523106
costume	0.0522594
"cowboy hat"	0.0522311
wire	0.0522213
strap	0.0520088
badge	0.0519643
towel	0.051884
porcelain	0.0518611
tablecloth	0.0518404
shard	0.0517329
wristband	0.0517125
fleck	0.0517093
"nail polish"	0.0516751
pot	0.0516583
wallpaper	0.0515988
marble	0.0513448
molding	0.0512654
wristwatch	0.0512402
marking	0.0512164
"precious stone"	0.0509499
))
(beading (desc 3288.85) (sims
embroidery	0.201101
sequin	0.17359
applique	0.153996
bead	0.147945
neckline	0.12853
ruffle	0.121551
velvet	0.104977
rhinestone	0.100792
bodice	0.0916008
feather	0.0887594
satin	0.0816116
beads	0.079175
brocade	0.076407
silk	0.0683971
tiara	0.0680324
stitching	0.068001
tulle	0.0661803
lacquer	0.0626007
blouse	0.0625601
needlepoint	0.0625037
chiffon	0.0623504
feathers	0.0617426
waistline	0.058249
turtleneck	0.0572272
silks	0.0571519
"evening bag"	0.0570933
fur	0.056805
brooch	0.0564212
bric-a-brac	0.056405
necklace	0.0556571
crystal	0.0540092
spandex	0.0534549
bloomers	0.0534406
Pearl	0.0534258
sewing	0.0526862
Goblet	0.0516299
ribbon	0.0514911
cashmere	0.0511871
organza	0.0509784
filigree	0.0494135
Pantsuits	0.0488826
"pocket watch"	0.0487048
"tea set"	0.047581
glitter	0.0473385
stripes	0.0472952
ingot	0.0465213
sconce	0.0465084
taffeta	0.0459184
Poncho	0.0455276
chandelier	0.0451314
streamer	0.0449577
"teddy bear"	0.0440792
mink	0.0433931
slipper	0.0432793
suede	0.043196
knitting	0.0431383
plaid	0.0427793
"shower curtain"	0.0426802
ornamentation	0.0424183
chalice	0.042374
slack	0.0422814
petticoat	0.0421082
feeler	0.0419732
tunic	0.0418575
shawl	0.0418245
Tables	0.0417104
embellishment	0.0416867
fizz	0.0416627
earring	0.0414893
tableware	0.0413492
yarn	0.0413223
tablecloth	0.041242
trouser	0.0410989
tinsel	0.0409303
verbiage	0.0408586
seashell	0.0404804
))
(beads (desc 4481.55) (sims
bead	0.158618
barrette	0.0848664
beading	0.079175
bracelet	0.0726497
pendant	0.0716099
ornament	0.0676481
earring	0.0633193
brooch	0.0618693
embroidery	0.0612023
Pearl	0.0594434
applique	0.0592943
tiara	0.0558329
figurine	0.0540834
velvet	0.0538879
lantern	0.0537238
chandelier	0.053333
bandana	0.0522899
"nail polish"	0.0522188
feathers	0.0520396
ribbon	0.0506878
necklace	0.0496962
knickknacks	0.0495124
"nose ring"	0.049241
choker	0.0487358
statuette	0.0476125
lamp	0.047384
vas	0.0472642
rhinestone	0.0468774
ware	0.0465206
pigment	0.0459571
feather	0.0455685
porthole	0.0449497
satin	0.0449187
sequin	0.0442051
droplet	0.0440291
prong	0.0430181
Play-Doh	0.0428848
rosary	0.0427718
vial	0.0426184
slipper	0.0425049
sconce	0.0418311
"evening bag"	0.0413886
G-string	0.041222
"beam of light"	0.0410785
handbag	0.0409242
bauble	0.0408128
"tissue paper"	0.0408088
"dog tag"	0.040545
Gel	0.0404624
headdress	0.040442
freckle	0.0403707
wreath	0.0402479
vestment	0.0402389
PIERCINGS	0.0401096
))
(beagle (desc 3608.69) (sims
"golden retriever"	0.160561
Labrador	0.129778
"German shepherd"	0.12706
pug	0.114141
"Labrador retriever"	0.0844524
Rottweiler	0.0758944
"Border collie"	0.074926
hamster	0.0734864
poodle	0.072301
Snoopy	0.0688275
dachshund	0.0673938
puppy	0.0632911
terrier	0.0597372
pooch	0.0569019
"police dog"	0.055628
nonentity	0.0524028
Dalmatian	0.052174
"quarter horse"	0.0507621
kitten	0.0505558
MIAs	0.0489472
"Beanie Baby"	0.0480992
pick-and-roll	0.0480668
Randa	0.0475704
ferret	0.0474366
canary	0.0473996
"little sister"	0.0472279
"little leaguer"	0.046906
redhead	0.0459244
"black cat"	0.0452988
"Little Dog"	0.0452935
parrot	0.0450383
iguana	0.0446476
Iger	0.0445948
serviceman	0.0443975
canine	0.0439289
"Andrea Gail"	0.0433653
trapper	0.0432088
fawn	0.0430085
cheetah	0.0425891
Rockettes	0.0422724
warhorse	0.0419714
inductees	0.0411692
Davidian	0.0411169
pup	0.0410293
Greyhound	0.040977
cannonball	0.0407976
spider	0.0405851
crewmembers	0.0405545
airmen	0.0402562
"dead person"	0.0401552
))
(beak (desc 5597.49) (sims
claw	0.115395
snout	0.092096
tail	0.0820978
feather	0.0789058
fins	0.0727311
tentacle	0.0694739
antennae	0.068398
paintbrush	0.0667131
jaw	0.0648985
Fang	0.0639919
teeth	0.0635784
tusk	0.0620672
mane	0.0620255
"two heads"	0.0599583
"fishing line"	0.0565567
paw	0.0564194
"little finger"	0.054597
plumage	0.0545657
fur	0.0538473
fuselage	0.053667
feathers	0.0532054
goatee	0.0519654
tongue	0.0516256
"leg bone"	0.0508044
slicker	0.0504906
"grocery bag"	0.0497919
hatchet	0.0488139
Archaeopteryx	0.0483473
limb	0.048015
"life vest"	0.0473921
"hypodermic needle"	0.047295
soaking	0.0471112
pompom	0.0466837
Beard	0.0465091
bandana	0.0463495
"walking stick"	0.0462807
wingspan	0.045966
colonnade	0.0458573
"piggy bank"	0.0454716
telomeres	0.0454483
belly	0.0453564
droppings	0.0446819
toolbox	0.0443738
drumstick	0.0439631
testicle	0.0438879
toothpick	0.0435411
Halo	0.0433314
genital	0.0431766
one-hopper	0.0429781
headdress	0.042955
"hard hat"	0.0428044
poop	0.0425765
slipper	0.0424404
spine	0.0423833
"beam of light"	0.0423642
"top hat"	0.0421976
Tooth	0.0419174
Zipper	0.0419134
aster	0.0418379
Pinky	0.0417291
blade	0.041706
prong	0.0416879
torso	0.0409305
"lounge chair"	0.0403694
emulsion	0.040309
mustache	0.0403068
Sash	0.040142
chiffon	0.0401347
ribbon	0.0400119
))
(beaker (desc 1674.76) (sims
carafe	0.0894675
tumbler	0.0796233
vase	0.0767223
vas	0.0730311
half-full	0.0704954
caldron	0.0693737
vial	0.066032
utensil	0.064118
figurine	0.0611929
urn	0.0610875
"wine bottle"	0.0607594
"hypodermic needle"	0.0603006
wristband	0.0568329
bouillon	0.0563754
tripod	0.0558038
scrim	0.0544531
menagerie	0.0540927
"card table"	0.0538917
vermouth	0.0531792
"beam of light"	0.0522208
jug	0.0520274
pendant	0.0512395
flask	0.050985
"measuring cup"	0.0509251
decanter	0.0500491
"about @.@ million tons"	0.0500454
VAT	0.0491308
"shower stall"	0.0491123
orb	0.0490738
kettle	0.0479346
paperweight	0.047741
armoire	0.047641
saucer	0.0466241
drumstick	0.0464501
ceramics	0.0460591
truncheon	0.0458212
"water bottle"	0.0456317
cudgel	0.0454037
chalice	0.0452734
sunroof	0.044863
searchlight	0.04471
"bowling ball"	0.0442423
glassware	0.0440341
compote	0.0438169
divider	0.0437775
parasol	0.0433471
pane	0.043341
paintbrush	0.0432922
candelabra	0.0428177
"grocery bag"	0.0424222
reagent	0.0422315
gavel	0.0419138
"fire hose"	0.0418399
"sense of direction"	0.0418024
toolbox	0.0417799
"bathroom fixture"	0.0417033
flatware	0.041388
teapot	0.041383
ashtray	0.0411185
statuette	0.0410903
ox	0.0410759
handcuffs	0.0408837
sparkler	0.040883
"coffee pot"	0.0408761
ramekins	0.0405772
porthole	0.0405645
tubing	0.040521
pail	0.0404276
plunger	0.0403286
keg	0.0400088
))
(beam (desc 31600.5) (sims
"balance beam"	0.118806
truss	0.10827
tile	0.0979822
joist	0.0971901
girder	0.0949164
"parallel bars"	0.0898742
"beam of light"	0.0888471
paneling	0.0886292
ceiling	0.0858862
Concrete	0.0854768
skylight	0.0833342
pipe	0.0830386
roof	0.0810033
"pommel horse"	0.0794485
wall	0.0794094
brick	0.0791477
molding	0.0761522
"laser beam"	0.0752038
vault	0.0726216
plaster	0.0725976
slab	0.0719
neutron	0.0711108
wire	0.0708728
chandelier	0.0705091
rod	0.0703241
floor	0.0692888
staircase	0.0688913
frame	0.0683324
furniture	0.0682497
arch	0.067952
light	0.067655
scaffolding	0.0668934
log	0.0668325
siding	0.0653851
bar	0.0653339
pedestal	0.0648272
timber	0.0647985
"window frame"	0.0646514
shingle	0.0645767
window	0.0645422
photon	0.0635406
pillar	0.0622984
facade	0.0620705
"air bag"	0.061908
pole	0.0614369
"gamma ray"	0.0608256
stone	0.0605425
laser	0.0602041
door	0.060025
mirror	0.0595047
debris	0.0594642
particle	0.0590812
tube	0.0590487
metal	0.0589924
flooring	0.0588597
scaffold	0.0586761
fence	0.0583918
balcony	0.0582283
Tower	0.057854
glass	0.0577014
railing	0.0573711
chair	0.0573274
"stone wall"	0.0572966
"magnetic field"	0.0572339
ledge	0.0567414
plank	0.0566391
electron	0.0564014
tree	0.0562755
rock	0.0560163
deck	0.055373
rope	0.0539809
wood	0.0539079
detector	0.0538456
woodwork	0.0537354
radiation	0.053508
sill	0.0534754
antenna	0.0530084
lamp	0.0526046
structure	0.0518761
steel	0.0517722
"stained-glass window"	0.0516857
insulation	0.0516744
Plywood	0.0515797
mesh	0.0515545
wheel	0.0513771
Shell	0.0513289
fireplace	0.0512328
sensor	0.0507068
porch	0.0506276
chimney	0.0504639
wiring	0.0503825
overhang	0.050326
screen	0.05007
burst	0.0499822
stair	0.0498744
Dome	0.0498346
belt	0.0498304
Stairway	0.0496579
ladder	0.0495562
blade	0.0495075
Crane	0.0492911
Rafter	0.049291
box	0.0492749
bolt	0.0490736
glow	0.0490375
"radio wave"	0.0489565
telescope	0.0489041
lumber	0.0484151
mattress	0.0484102
cage	0.0483605
vent	0.0482763
transmitter	0.0481665
headlight	0.0481337
bookcase	0.0479111
Lighting	0.0477751
carpet	0.0477716
device	0.047447
object	0.0474186
rail	0.0473296
floorboard	0.0470854
table	0.0467561
windshield	0.0466688
tire	0.0462014
cord	0.0461736
pulse	0.0459875
pellet	0.0458869
ray	0.0457713
coffin	0.0456486
cable	0.0456368
sunlight	0.0456135
apparatus	0.0454815
shutter	0.0453976
plate	0.0453568
marble	0.0452221
granite	0.0452039
shaft	0.0451588
sculpture	0.0448743
"sound wave"	0.0447756
cliff	0.0447471
scanner	0.0445981
piling	0.0444857
statue	0.0444803
bed	0.0444469
"tree branch"	0.0444094
"steel plate"	0.044323
cement	0.0442015
bulb	0.0441769
molecule	0.0441514
casing	0.0440843
trunk	0.0439859
canvas	0.0439826
lantern	0.0439076
tank	0.0438228
sofa	0.0437441
armrest	0.0436859
terrace	0.0436119
bridge	0.0435802
stove	0.0432584
skeleton	0.0430378
carving	0.0427239
mortar	0.0426904
shelf	0.0426585
fencing	0.0425598
cell	0.0424409
sheet	0.0424108
plaque	0.0423543
exterior	0.0422674
fragment	0.0421522
plastic	0.0421443
accelerator	0.0420491
veranda	0.0420141
canister	0.0419654
rubble	0.0419312
elevator	0.0418911
curtain	0.0417798
roller	0.0417797
ultrasound	0.0416076
Atom	0.0415761
sheeting	0.0415739
pane	0.0415313
duct	0.0415137
bone	0.0414597
fountain	0.0414118
wreckage	0.0413865
drum	0.0413462
mural	0.0413287
stool	0.0413112
wavelength	0.0412377
cylinder	0.0412365
limb	0.0411287
mosaic	0.0411212
x-ray	0.0410709
faucet	0.0409039
lens	0.0408651
bathroom	0.0408145
shrapnel	0.0407606
stucco	0.0407049
mast	0.0406923
platform	0.0406148
walkway	0.040534
))
("beam of light" (desc 968.679) (sims
"ultraviolet light"	0.156221
"laser beam"	0.14731
"sound wave"	0.12806
"radio wave"	0.0932316
"gamma ray"	0.0920205
diode	0.0904996
searchlight	0.0895246
"yellow light"	0.0886221
flashbulb	0.0854474
headlamp	0.0850513
"electric current"	0.0811277
floodlight	0.0790435
Play-Doh	0.0772281
"fishing line"	0.0762767
"magnetic field"	0.0752563
"sonic boom"	0.0736557
sunlight	0.073559
radiance	0.0734208
photon	0.0728154
slingshot	0.0725448
downdraft	0.0717787
"slip of paper"	0.0714408
flashlight	0.0711155
biogas	0.0700832
telomerase	0.0698631
"rubber band"	0.0698014
"ground stroke"	0.0697054
cannister	0.0686496
"paper cup"	0.0675955
"kerosene lamp"	0.0670289
headlight	0.0662046
"particle accelerator"	0.0659655
DAP	0.0654465
"tissue paper"	0.0651388
"Hail Mary"	0.0650788
"solar flare"	0.0649116
regression	0.0648209
"steel plate"	0.0642271
paintbrush	0.0640392
mini-van	0.0639242
"light bulb"	0.0636952
"radio signal"	0.0636199
"solar radiation"	0.0633812
"fiber optic cable"	0.0633253
"white line"	0.0633174
"fire hose"	0.0631469
neutron	0.0630963
"Red Violin"	0.0625978
"grocery bag"	0.062033
updraft	0.0619667
screamer	0.0618638
lobbying	0.0616962
"telephone booth"	0.0608447
"mechanical device"	0.0606297
gruel	0.0603247
toolbox	0.0598115
"rocket fuel"	0.0593958
plume	0.0592084
weevil	0.0591705
"drawing power"	0.0588092
"putty knife"	0.058791
goofball	0.0587209
vibrato	0.0586986
splotch	0.0585156
"liquefied petroleum gas"	0.0584163
pointer	0.0584141
laxative	0.0583536
streetlight	0.0581525
"one ton"	0.0579535
"piece of cloth"	0.0579333
"red light"	0.0579071
parachutist	0.0576213
"extension cord"	0.0575635
windbreaker	0.05756
"space probe"	0.0575164
"coaxial cable"	0.057291
"UNIX operating system"	0.0571161
"vanilla bean"	0.0569027
flamethrower	0.0568653
Sari	0.0567979
"oil paint"	0.0567885
"visual image"	0.0563312
squall	0.0563018
anesthetic	0.0560686
"ray of light"	0.0555676
"sheet of paper"	0.0552255
propellant	0.0550673
potty	0.0547276
"nitric acid"	0.0546588
Quill	0.0545237
LASIK	0.0540701
crosswind	0.0540042
subterfuge	0.0539963
"one line"	0.0539912
"Honda Civic"	0.053987
streamer	0.0536653
"passing shot"	0.0536053
incantation	0.053487
"blood cell"	0.0534161
corrective	0.0534007
"boxing glove"	0.0531747
tricolor	0.0531693
numeral	0.0528937
smooch	0.0526513
watt	0.0526414
earpiece	0.0523712
biplane	0.0523527
"Human Immunodeficiency Virus"	0.0523427
"carbon monoxide"	0.0523164
beaker	0.0522208
"radio frequency"	0.0521105
diagonal	0.0520884
policewoman	0.0520009
moustache	0.0519527
poinsettia	0.0519333
double-decker	0.0519322
sparkler	0.0516537
"nitrous oxide"	0.0515982
curling	0.0513394
"cut of meat"	0.0513268
"supporting players"	0.0511601
"picture tube"	0.0510487
tracer	0.0510108
decimal	0.0510081
tribesman	0.0510025
"beach towel"	0.0509621
scrim	0.0509575
"fire truck"	0.0509466
carnation	0.0509023
semicircle	0.0508798
polyethylene	0.050856
wrister	0.0508288
"fire ant"	0.0506851
"M&AMP;Ms"	0.0506541
"essential oil"	0.0505378
carryover	0.0505171
"Cessna @@@"	0.0504949
parasol	0.0504677
excavator	0.0503076
"steam engine"	0.0501811
turboprop	0.0500443
Zonolite	0.0498858
"jet engine"	0.0495901
hydrocarbon	0.0494975
"morse code"	0.0494907
rosette	0.0493573
"contact lense"	0.0493534
curler	0.0492151
"warning light"	0.0490757
footpath	0.0490744
sedative	0.049006
trowel	0.0489806
banquette	0.0489718
camcorder	0.0489437
"sport shirt"	0.0488056
"body bag"	0.0487986
"spy satellite"	0.0487715
hyphen	0.0487151
electron	0.0486491
"billion yuan"	0.048604
oil-for-food	0.0485854
bandana	0.0485783
"fishing rod"	0.0485609
Tomahawk	0.0485352
"paring knife"	0.048527
tubing	0.0485123
B-@s	0.0484664
"red blood cell"	0.0483765
par-@@	0.0483565
"air current"	0.0483327
brunette	0.048327
bomblets	0.0483173
blimp	0.0482996
heifer	0.0482898
"meteor shower"	0.0482845
hemoglobin	0.0481578
confetti	0.0481036
Hubble	0.0480948
"M&AMP;M"	0.0480565
julienne	0.0479212
quasar	0.0478243
croaker	0.0477676
Crescent	0.0477451
baseliner	0.0477412
"phone booth"	0.0476672
identifier	0.047624
chloride	0.0474708
"investor interest"	0.0474504
"about @@ tons"	0.0474277
emotionalism	0.0473334
toothpick	0.0473082
emulsion	0.0472579
pigment	0.0471922
"four lines"	0.0471303
Macaque	0.0471229
olestra	0.0469521
glint	0.0469506
"ransom money"	0.0469075
patrolmen	0.046874
kinescope	0.0468384
))
(beamer (desc 1050.51) (sims
Monson	0.178526
Summitt	0.151629
Passarella	0.14841
Heinrichs	0.145789
Donnan	0.143317
Hartsburg	0.143175
Braswell	0.137858
Schmid	0.136252
Fulmer	0.13494
Weisman	0.129944
Foyt	0.128762
Ainge	0.127441
Solis	0.127336
Okada	0.125742
Polian	0.125333
Gullikson	0.123707
Andreychuk	0.121221
Finkel	0.120355
Ganassi	0.119616
Fleischer	0.118471
Dungy	0.116119
Tuberville	0.116032
Piot	0.115357
Venables	0.11471
Zuckerman	0.114254
Talebi	0.113313
Azinger	0.112865
Tobin	0.111042
Jacquet	0.110958
Sahadi	0.110765
Canty	0.110545
Romar	0.110212
Guthridge	0.110199
Insulza	0.11015
Franchione	0.109875
Auriemma	0.109691
Solich	0.109585
Goldin	0.108292
Ribbeck	0.107959
Sherrill	0.10721
Krzyzewski	0.106595
Rubenstein	0.106449
"Jim Harrick"	0.106441
ISSEL	0.106429
Bodine	0.105537
Paxon	0.105516
Valenti	0.104921
Sheehan	0.104675
Whitsitt	0.10443
Sheedy	0.10403
Poole	0.103918
Paterno	0.103359
Vogel	0.102214
Guerra	0.102191
Mandella	0.101614
Davie	0.10091
Geiger	0.10084
Fassel	0.100393
Gogel	0.100369
Bochy	0.0993081
Rongen	0.0993057
Barros	0.0989494
Groh	0.0987461
Seanez	0.0984232
Zambrano	0.0983356
Whipple	0.097892
Robson	0.0973514
Wannstedt	0.0972283
Erickson	0.0972219
"administration official"	0.096838
Gossage	0.0967974
Neilson	0.0966731
Ruehe	0.0965912
Aventajado	0.096505
Hartman	0.0964517
Gillom	0.0958421
Popovich	0.0954817
Kearin	0.0954517
Schottenheimer	0.0954246
Scelzi	0.0953231
Larson	0.0952726
Hauser	0.0951839
McGinnis	0.0949674
Sather	0.094887
Boles	0.094862
Cota	0.0947465
Bergeron	0.0947099
Meissner	0.0944706
DiCicco	0.0944063
Milutinovic	0.0943076
Cremins	0.0940641
Ponciano	0.0931775
Cowan	0.0927604
Madsen	0.0927535
Bonner	0.0926127
Hornaday	0.0925606
Driscoll	0.0924365
Vinatieri	0.0923532
Appleby	0.0917924
Brandt	0.0916007
Hunsicker	0.0915438
Prewitt	0.0912863
Conroy	0.091229
Mustafa	0.0911915
Muckler	0.0910103
Soyinka	0.0909944
Azizah	0.0909648
Troussier	0.0909079
Schmitt	0.0908189
Atler	0.0908164
Molinari	0.0907945
Calcavecchia	0.0907368
Laudrup	0.0906479
Ebersol	0.0905001
Evernham	0.0902226
Harrick	0.0898922
"Earnhardt Jr."	0.0897668
Bustamante	0.0895905
Kenseth	0.0895754
Tocchet	0.0895737
Singson	0.0894701
Milbury	0.0891506
Dragila	0.0891151
Inman	0.0889949
Campo	0.0889622
Shurmur	0.0888738
Sasser	0.0887307
Stoneman	0.0884227
Eizenstat	0.0881049
Rahal	0.0881049
Herta	0.0877839
Gillick	0.0876592
Heinze	0.0874698
Verney	0.087401
Jovanovic	0.0870057
Bratton	0.0869954
Harbaugh	0.0866524
Ditka	0.0866136
Neuheisel	0.08656
McCarron	0.0864475
Tomey	0.0863725
Moakley	0.0861027
Inkster	0.0860691
Padilla	0.0859027
Hickman	0.0858784
Colbert	0.0858668
Gormley	0.0858173
Mariucci	0.0858014
Moog	0.0856748
Lampkin	0.0854938
Ouattara	0.0853926
Garces	0.0853082
Parrish	0.0851773
Murad	0.0849926
Sim	0.0848148
Duffy	0.0847445
Wenger	0.0846444
Bronfman	0.08452
Tran	0.0844738
Tarawneh	0.0843785
Jarvis	0.0842006
Advani	0.0841681
Samuelson	0.0841457
Nadler	0.0840702
Lepage	0.0840238
Tapia	0.0840079
capella	0.0837624
Biffle	0.0837347
Menard	0.0836688
Herron	0.0831962
Skiles	0.0830289
Hackett	0.0828635
McDOWELL	0.0826709
Fleisher	0.0825872
Sapp	0.0825651
Bavasi	0.082548
Koehler	0.0824812
Jaffe	0.0824668
Gauthier	0.0821756
Alford	0.0819067
Waxman	0.0817944
Antley	0.0815999
Spielman	0.081581
Rosenthal	0.0815792
Fieger	0.0815769
Mendez	0.081506
Dunleavy	0.0814475
Brister	0.0814375
McDonnell	0.0810654
Baum	0.0810523
Finney	0.0810499
Plante	0.0810287
Blatter	0.080934
Sykes	0.0808786
Ruggiero	0.0806822
Lehane	0.0806549
McGreevey	0.0806195
Ligtenberg	0.0805724
Wald	0.0805311
Colangelo	0.0805014
))
(bean (desc 53007.2) (sims
potato	0.26853
tomato	0.246021
rice	0.229778
corn	0.229002
vegetable	0.228623
pea	0.224831
lentil	0.220916
onion	0.220096
"sweet potato"	0.206963
pasta	0.193936
cabbage	0.193094
chicken	0.192106
"black bean"	0.191825
noodle	0.191744
meat	0.187781
carrot	0.18629
mushroom	0.186022
"green bean"	0.186005
bread	0.185377
pork	0.18142
shrimp	0.180918
barley	0.180851
soybean	0.180299
fruit	0.179801
spinach	0.179696
sorghum	0.176
beet	0.174801
eggplant	0.173358
maize	0.171904
wheat	0.171463
sausage	0.170047
Broccoli	0.169371
Chickpea	0.167608
cheese	0.167199
Garlic	0.166466
pepper	0.164811
cucumber	0.164502
soup	0.163473
asparagus	0.163335
flour	0.160028
egg	0.157588
sugar	0.157051
cereal	0.156281
zucchini	0.156162
cassava	0.155592
grain	0.1555
lettuce	0.153083
leek	0.152681
milk	0.152298
squash	0.1504
beef	0.149882
salad	0.148649
coffee	0.148318
sauce	0.147721
artichoke	0.147112
okra	0.145729
peanut	0.144938
"red pepper"	0.144614
ham	0.144086
cotton	0.143978
fish	0.143834
Chili	0.143729
sugarcane	0.14185
banana	0.140865
apple	0.140172
celery	0.139844
olive	0.139578
"tomato sauce"	0.139513
seafood	0.139453
coconut	0.139032
pineapple	0.138999
broth	0.13873
radish	0.138149
"cooking oil"	0.137662
pumpkin	0.13738
cauliflower	0.136776
tofu	0.136282
melon	0.134994
biscuit	0.134986
grape	0.134885
plantain	0.134679
oat	0.133097
herb	0.132656
millet	0.13221
tuna	0.1322
butter	0.131587
"bell pepper"	0.130754
yogurt	0.130022
"powdered milk"	0.129847
"wheat flour"	0.129834
legume	0.129256
nut	0.128944
"vegetable oil"	0.12851
spaghetti	0.128465
watermelon	0.128044
mango	0.127188
"sugar cane"	0.12643
macaroni	0.126407
"white bean"	0.125959
tea	0.125457
steak	0.124719
bacon	0.124544
clam	0.123675
salt	0.123626
chiles	0.123487
"black-eyed pea"	0.122842
groundnut	0.122816
chilies	0.120991
"orange juice"	0.120298
blueberry	0.119667
"soya bean"	0.118777
fennel	0.118695
turnip	0.118331
"brussels sprout"	0.118281
juice	0.117678
pear	0.117601
scallion	0.117519
raisin	0.117059
parsley	0.116319
spice	0.116236
yam	0.116163
"pinto bean"	0.116043
strawberry	0.116029
berry	0.115506
"olive oil"	0.115181
polenta	0.114689
peach	0.114403
"green onion"	0.114098
tortilla	0.113801
"lima bean"	0.113432
Basil	0.11322
fig	0.113011
puree	0.112647
almond	0.111385
cake	0.111129
porridge	0.111117
cocoa	0.110958
RHUBARB	0.110891
sauerkraut	0.110607
arugula	0.110518
mustard	0.10993
"brown rice"	0.109877
cilantro	0.109559
salmon	0.10932
lemon	0.109178
food	0.10912
cranberry	0.109029
"sweet corn"	0.108935
Liquid	0.108744
"coffee bean"	0.10867
"dairy product"	0.108601
gravy	0.108483
mayonnaise	0.107971
stew	0.107794
chocolate	0.107705
mussel	0.10764
mutton	0.107149
crop	0.106706
veggie	0.106392
"green pepper"	0.106223
soy	0.106186
"chicken broth"	0.106131
soya	0.106094
ginger	0.105896
"root vegetable"	0.105275
leaf	0.105105
shallot	0.104965
lamb	0.104844
sandwich	0.104803
cornmeal	0.104756
seasoning	0.1044
kernel	0.103686
"sour cream"	0.103532
lobster	0.103435
oyster	0.103386
cream	0.103257
"coconut milk"	0.103137
dish	0.103074
Pudding	0.102992
vinegar	0.102545
"french fries"	0.102328
"potato salad"	0.10226
oatmeal	0.102205
"peanut butter"	0.101964
Collard	0.101754
crab	0.101509
poultry	0.101435
sunflower	0.101256
"white rice"	0.100938
sesame	0.100653
mixture	0.100415
sprout	0.100066
"bean sprout"	0.0996271
pickle	0.0995838
rapeseed	0.0993361
pecan	0.0987676
alfalfa	0.0986848
"ice cream"	0.0986052
"sugar beet"	0.098588
"chicken breast"	0.0983498
))
("bean sprout" (desc 2181.55) (sims
"snow pea"	0.185725
celery	0.176616
"chicken broth"	0.164831
cabbage	0.162323
zucchini	0.160486
cilantro	0.158718
shallot	0.158108
"red onion"	0.153851
cucumber	0.152485
"bamboo shoot"	0.152236
parsley	0.151569
"bell pepper"	0.150084
"tomato juice"	0.149323
"peanut oil"	0.147739
onion	0.146685
radish	0.14636
"brussels sprout"	0.143648
mushroom	0.143178
"chicken stock"	0.143113
lettuce	0.14218
leek	0.141675
spinach	0.140174
"green onion"	0.139566
watercress	0.135794
"coconut milk"	0.133838
sauerkraut	0.133359
"sesame seed"	0.132556
jalapeno	0.132318
"lime juice"	0.131417
"green bean"	0.131218
scallion	0.130381
carrot	0.13013
okra	0.12968
tomatillo	0.129591
Sorrel	0.129567
fennel	0.129397
"blue cheese"	0.128973
Garlic	0.12832
tomato	0.128139
"pineapple juice"	0.127934
chilies	0.127823
ginger	0.127766
"green pepper"	0.127368
"water chestnut"	0.127066
"beef stock"	0.124691
"pumpkin seed"	0.121702
"beef broth"	0.121084
"hoisin sauce"	0.120508
"white rice"	0.119624
beet	0.119621
"whipping cream"	0.119502
"black bean"	0.119174
asparagus	0.117765
avocado	0.117414
"red pepper"	0.117027
cashew	0.116216
dill	0.116011
arugula	0.113629
chive	0.113546
"green olive"	0.111879
raisin	0.111314
thyme	0.107813
chiles	0.107212
Basil	0.107184
broth	0.106085
"tomato sauce"	0.106084
florets	0.105595
potato	0.105492
olive	0.105077
turnip	0.104871
oregano	0.104798
Broccoli	0.104044
"sweet potato"	0.103329
panko	0.103007
"shiitake mushroom"	0.10275
mozzarella	0.10219
"soy sauce"	0.101188
"black olive"	0.101124
cauliflower	0.10063
"lemon juice"	0.100621
"pine nut"	0.0998329
pea	0.09979
bean	0.0996271
mint	0.0986169
shrimp	0.0981804
ricotta	0.0981581
"tomato paste"	0.0976247
"sesame oil"	0.0974137
"string bean"	0.0970053
macaroni	0.0960919
croutons	0.0957729
pineapple	0.0956256
almond	0.0949107
"Swiss chard"	0.0947773
"fava bean"	0.0947549
chervil	0.0943596
"goat cheese"	0.0938498
tortellini	0.0936879
"cumin seed"	0.0936871
cheese	0.0931458
"bok choy"	0.092485
mayonnaise	0.0912639
artichoke	0.0910944
anchovy	0.0909806
pasta	0.0907391
mango	0.0907152
"bay leaf"	0.0903358
parsnip	0.0902954
"heavy cream"	0.0897015
spaghetti	0.0887823
bacon	0.0885578
raspberry	0.088528
cumin	0.0884879
"potato salad"	0.088107
noodle	0.0875812
chevre	0.087013
marjoram	0.0866712
tofu	0.0866073
sausage	0.086559
frisee	0.0864595
eggplant	0.0864402
peanut	0.0858867
bulgur	0.0857501
marshmallow	0.0850614
mustard	0.0850182
kernel	0.0845834
puree	0.083891
pancetta	0.0833496
"condensed milk"	0.083254
salsa	0.0828052
"cottage cheese"	0.0827426
chutney	0.082681
chard	0.0825066
mesclun	0.0824672
currant	0.0823582
horseradish	0.08175
blueberry	0.0817329
"corn chip"	0.081709
"evaporated milk"	0.0816288
meatball	0.0815124
"sour cream"	0.0805173
veggie	0.0804446
half-and-half	0.0795073
"spring roll"	0.079457
"chili pepper"	0.0792726
"peanut butter"	0.0792387
"garlic clove"	0.0792087
"winter squash"	0.0788625
applesauce	0.0781742
Calvados	0.0781253
lentil	0.0779487
pork	0.0771723
"chicken breast"	0.0770552
"fruit salad"	0.0768341
"cider vinegar"	0.076757
vinegar	0.0760688
"apple juice"	0.0760101
canola	0.0750199
"hot pepper"	0.0747742
Collard	0.0747479
tarragon	0.0745175
chanterelle	0.0743136
Parmesan	0.0739688
tahini	0.0738024
FETA	0.0733964
"white wine"	0.0731233
"orange juice"	0.0727824
coconut	0.0727431
"macadamia nut"	0.0727295
yogurt	0.0727189
"chili powder"	0.0726733
polenta	0.0723242
"vegetable oil"	0.0721325
hazelnut	0.0720586
pumpkin	0.0718923
fig	0.0714057
cranberry	0.0713961
"cranberry sauce"	0.071171
fettuccine	0.0710468
mussel	0.0710077
pecan	0.0709999
"collard greens"	0.0709739
"olive oil"	0.0709653
Cherry	0.0706875
apricot	0.0703786
calamari	0.0701207
molasses	0.0699872
walnut	0.0698643
caper	0.0698566
breadcrumb	0.0697776
morel	0.0697761
Kale	0.0693317
"corned beef"	0.0688259
"sweet corn"	0.0687948
cornmeal	0.0687779
honey	0.0686737
"cherry tomato"	0.068663
nectar	0.0685293
"wild rice"	0.0684752
buttermilk	0.0683858
))
(beanie (desc 2979.49) (sims
"Beanie Baby"	0.142363
"Beanie Babies"	0.11965
Barbies	0.0828779
beany	0.0789666
Pokemon	0.0757157
dot.com	0.0713559
Kleenex	0.0618615
hedgehog	0.0618399
Chukwu	0.0579652
"trading card"	0.0573281
"three pitchers"	0.0569413
koala	0.0568154
"Little Dog"	0.0567039
"baseball card"	0.0524618
Furby	0.0521571
dispenser	0.0510629
"frozen food"	0.0506381
T-bonds	0.0497054
meth	0.0496028
Falun	0.0494096
Gerber	0.0493728
"leap year"	0.0493649
"GI Joe"	0.049201
lingerie	0.0489167
"M&AMP;Ms"	0.0481805
"dress uniform"	0.0481651
Powerball	0.0481049
widget	0.0477423
memorabilia	0.047733
"shopping cart"	0.0471977
scooter	0.0467863
throwaway	0.046735
"health food"	0.0466298
motherboards	0.0465499
after-hours	0.0462616
e-BOOKS	0.0458425
Nana	0.045457
"sports car"	0.0454377
"folk art"	0.0454275
"alcoholic beverage"	0.0449596
"blue moon"	0.0449586
Stratus	0.0445556
"car seat"	0.0439153
copycat	0.0438087
"TV dinner"	0.0437159
mambo	0.0435048
blinder	0.0430914
Zinfandel	0.0429912
REITs	0.0426359
critters	0.0426185
"golf equipment"	0.0424977
"compact disk"	0.0424028
VCD	0.0423727
Waltrip	0.0423688
accoutrement	0.0422783
Legos	0.0421057
yo-yo	0.0417715
telemarketing	0.0416575
eyewear	0.0415607
keepsake	0.0415554
"metric ton"	0.0414229
"Subway Series"	0.0411768
LASIK	0.0410541
"carriage house"	0.0409448
thalidomide	0.0407841
freebie	0.040777
RV	0.0407171
"trump card"	0.0406385
airship	0.0405541
"cellular telephone"	0.0405091
wristwatch	0.0404645
sportswear	0.0403385
condom	0.0403213
"free form"	0.0401382
cyber	0.0400683
))
("Beanie Babies" (desc 7826.09) (sims
beanie	0.11965
"Beanie Baby"	0.114819
"GI Joe"	0.112539
Furby	0.107815
doll	0.100771
"trading card"	0.0981331
Barbies	0.0962359
toy	0.0961341
collectibles	0.0940486
"teddy bear"	0.0849637
Teletubbies	0.0819377
Barbie	0.0818146
"baseball card"	0.0771235
Furbys	0.0760916
"cellular telephone"	0.072516
beany	0.0705137
housewares	0.0701377
"household appliance"	0.0694432
Coin	0.069233
"greeting card"	0.069224
"scientific instrument"	0.0688579
Pokemon	0.0685622
yo-yo	0.0659392
Kleenex	0.0653554
"home appliance"	0.0644404
"hand-held computer"	0.0639248
condom	0.0635292
jewelry	0.0620161
"comic book"	0.0615138
furnishings	0.061375
memorabilia	0.0604988
merchandise	0.060406
apparel	0.0583319
"Iranian POWs"	0.0583206
"pet food"	0.0580704
copier	0.0580673
figurine	0.0579748
furniture	0.0578434
appliance	0.0574039
"consumer electronics"	0.0573027
wristwatch	0.0569981
"passenger car"	0.0566564
"airplane ticket"	0.0565549
trinket	0.0562231
antique	0.0561554
Clothing	0.0558516
candy	0.0554006
"cellular phone"	0.0553512
cassette	0.054773
handbag	0.0547159
"video game"	0.0546122
"board game"	0.054605
freebies	0.0540783
T-shirt	0.0536626
souvenir	0.0535457
"New Beetle"	0.0535261
"theater ticket"	0.0534966
footwear	0.0534535
toaster	0.0531824
"software product"	0.0529053
Legos	0.0525808
CD	0.0523971
"cigarette lighter"	0.0523614
"soft drink"	0.0521364
razor	0.0518932
"alcoholic beverage"	0.0518454
"compact disk"	0.0518315
"desktop computer"	0.0518302
"compact disc"	0.0517104
"personal computer"	0.0513984
poster	0.0509734
"contact lense"	0.0508429
videophone	0.0507161
"consumer goods"	0.0505971
"golf equipment"	0.0505834
"computer hardware"	0.0505115
motherboards	0.0503894
e-BOOKS	0.0503593
"fishing license"	0.050181
"canned goods"	0.049854
"office furniture"	0.0498495
"golf ball"	0.0496993
sportswear	0.0496699
"PT Cruiser"	0.0491913
"boarding pass"	0.0485734
sunglasses	0.0483893
workstation	0.0481857
impala	0.0478895
artwork	0.0478634
iMacs	0.0477079
cigarette	0.04754
cheerio	0.0473461
"sheet music"	0.0473067
perfume	0.0471988
"washing machine"	0.0470741
MP@	0.0470078
artifact	0.0467203
DVDs	0.046439
"communications equipment"	0.0464275
Claritin	0.0463721
cosmetic	0.0463317
"life jacket"	0.0463025
grocery	0.0461607
firearm	0.0461499
lingerie	0.0460762
accessory	0.0459819
"Harry Potter"	0.045901
supercomputers	0.0458639
"work of art"	0.0458205
enlistee	0.045429
eToys	0.0452988
tableware	0.0452291
"storage device"	0.0451715
auto	0.0450983
Riverdance	0.0449763
A@@@-@@@	0.0449722
"french fries"	0.044857
surfboard	0.0446088
automobile	0.0445195
"breast implant"	0.0445088
B-@s	0.044454
browsers	0.044433
portables	0.0442722
autograph	0.0441402
toothpaste	0.0439853
paraphernalia	0.043964
"hot dog"	0.0438807
"Blair Witch"	0.0438538
"musical instrument"	0.0436994
"Hello Kitty"	0.0435013
F-@@s	0.0433339
"water heater"	0.0432603
puppy	0.0432107
irons	0.0432011
"season ticket"	0.0432002
"computer game"	0.0431913
"water bottle"	0.043131
Dreamcast	0.0430889
"train ticket"	0.0430621
"kitchen appliance"	0.0430591
"playing card"	0.0429395
soda	0.0429258
Propulsid	0.0428611
"computer equipment"	0.0428518
"hot stock"	0.0428185
VCR	0.0427417
"Weight Watchers"	0.0427346
bike	0.0427175
bicycle	0.0427066
ornament	0.0426629
cookware	0.0426443
generics	0.0426367
"electronic equipment"	0.0425612
kit	0.042545
hardware	0.0424529
"media property"	0.0424243
camcorders	0.0423826
"light bulb"	0.0422
bison	0.0421684
SUVs	0.0421282
"baseball glove"	0.0420967
subscription	0.0420865
cereal	0.0420495
iMac	0.0420148
"golf club"	0.0419945
"frozen food"	0.0419853
"toilet paper"	0.04189
handset	0.0418255
skateboard	0.0416581
"sewing machine"	0.0416566
"coffee mug"	0.041505
mug	0.0414929
belonging	0.0414346
microprocessor	0.0412758
Cigar	0.0411744
postcard	0.04112
"Iraqi POWs"	0.0410047
peripheral	0.0409556
pill	0.0409385
bedding	0.0408843
hosiery	0.040863
Swimwear	0.0408441
flashlight	0.0407982
Hummer	0.0407793
viagra	0.0405136
"television set"	0.0405058
watercraft	0.0404452
"Diet Coke"	0.0404376
cappuccino	0.0404246
"fax machine"	0.0403163
"disk drive"	0.0402327
fossil	0.0401404
))
("Beanie Baby" (desc 2196.98) (sims
"GI Joe"	0.149239
beanie	0.142363
"Beanie Babies"	0.114819
pug	0.0928152
Matchbox	0.0813253
"Hello Kitty"	0.0784613
dot.com	0.0778772
Pokemon	0.076862
Furby	0.0745319
"cotton candy"	0.0741451
freebie	0.072551
goo	0.070898
beany	0.0704731
"theater ticket"	0.0703278
FloJo	0.0674895
"utility program"	0.0669596
"trading card"	0.0664434
Barbie	0.0650318
Play-Doh	0.0644413
"golden retriever"	0.0639359
"limited edition"	0.0631258
corduroy	0.0631118
gimmicky	0.0624035
"piece of cloth"	0.0605889
trinket	0.0595545
yo-yo	0.0586372
"skin care"	0.058417
"baseball card"	0.0569851
collectibles	0.0565416
eyewear	0.0565335
"Love Bug"	0.0557985
"boxing glove"	0.0557571
orchid	0.0546977
"Bill Blass"	0.0544382
peewee	0.0540126
Hummer	0.0535759
"slide rule"	0.0532412
led	0.0526932
Dalmatian	0.0524283
"postage stamp"	0.052352
hotdog	0.051995
"train ticket"	0.0519663
Roxy	0.0516753
teddy	0.0506837
megaplex	0.0503303
"shuttle bus"	0.0502772
"Blair Witch"	0.0502102
streamer	0.0501612
"haute couture"	0.0497509
bunny	0.0492207
Swimwear	0.0491762
Ikeda	0.0491757
Furbys	0.0491604
splotch	0.0490729
"coaxial cable"	0.0489041
daguerreotype	0.0486549
"round-trip ticket"	0.0485342
bunting	0.0485154
"Toyota Corolla"	0.0484183
COUTURE	0.0482563
Powerball	0.0481199
beagle	0.0480992
DKNY	0.0480794
Unix	0.0480431
Spring/Summer	0.0478508
"James Bond"	0.0478022
Saatchi	0.0477245
"comic book"	0.0476662
nacho	0.047662
hearse	0.0475529
vinyl	0.047441
lingerie	0.0474271
"Harry Potter"	0.0474167
pushcart	0.0473734
ISDN	0.0473023
Pooh	0.0472687
wristband	0.0468704
"black cat"	0.0468416
"candy bar"	0.0467427
nouveau	0.0467406
terrier	0.0465047
"exercise equipment"	0.0464511
"cereal box"	0.0463235
BLUETOOTH	0.0462875
menswear	0.0462133
"hot pepper"	0.0461436
Cyrix	0.0458955
teapot	0.0458398
widget	0.0457496
welt	0.045709
"precious metal"	0.0453765
"bow tie"	0.0452342
yearling	0.045222
"Rolls-Royce Motor Cars"	0.0450951
gemstone	0.0449632
"Lone Ranger"	0.0448754
"aerospace engineer"	0.0448362
vasectomy	0.0448318
"tax advantage"	0.0447978
emulator	0.0447601
wristwatch	0.0447136
"polka dot"	0.0446895
"pool table"	0.0446268
Porno	0.0445359
"cigarette lighter"	0.0445154
housewares	0.0443585
"bus ticket"	0.0443065
porcelain	0.0442645
"paper cup"	0.0442514
knapsack	0.044173
sweatshirt	0.0441528
Versace	0.0441128
"standing room"	0.0440723
handbag	0.0436885
cantor	0.0436684
e-BOOKS	0.0436519
"old master"	0.0435666
waistcoat	0.0434824
"health check"	0.0432006
videophone	0.0430913
slinky	0.0428847
G-string	0.0428071
Athlon	0.0427999
Barney	0.0426469
poinsettia	0.0425827
"dollar bill"	0.0425645
"German shepherd"	0.0425105
B@B	0.0424315
curio	0.0424302
slicker	0.0424199
"disk jockey"	0.0423712
"money order"	0.0423518
"Cliffs Notes"	0.0423403
Elmo	0.0423345
"wedding ring"	0.0422577
"folk art"	0.0420995
Lamborghini	0.0420668
Meguid	0.0420315
"Weight Watchers"	0.0419439
"police sergeant"	0.0418846
"Lincoln Town Car"	0.0418665
"beam of light"	0.0418289
Labrador	0.0418023
curler	0.0417391
"house painter"	0.0416347
zinger	0.0416038
"more than one-fifth"	0.0415385
tulip	0.0415227
shawl	0.0415148
Streetcar	0.0413099
bandana	0.041296
Fino	0.0412622
"black market"	0.0412261
Pustovoitenko	0.0412162
bloomer	0.0411106
"Stephen King"	0.0411032
Rodionov	0.041009
"chemical compound"	0.0409614
gunk	0.0409039
knickknack	0.0407759
"fountain pen"	0.0405624
RV	0.0405102
CTV	0.0404785
geophysicist	0.0404598
"Brooks Brothers"	0.0404309
earpiece	0.0404254
"calling card"	0.0404199
Nutcracker	0.0403626
chihuahua	0.0403424
after-hours	0.0402592
"food coloring"	0.0402445
camellia	0.0401947
shingles	0.0401833
medallion	0.040156
blowup	0.0401463
"convertible bond"	0.040113
"Santa Claus"	0.0400898
geeky	0.0400815
"local call"	0.0400037
))
(beany (desc 1106.87) (sims
"animal skin"	0.0848545
"stock certificate"	0.0804976
beanie	0.0789666
"Iranian POWs"	0.0771127
Furbys	0.0722281
"Beanie Babies"	0.0705137
"Beanie Baby"	0.0704731
"Dale Bumpers"	0.0690161
webcams	0.0669772
major-leaguers	0.0666845
"boxing glove"	0.0663992
"police sergeant"	0.0659323
Rolex	0.0654524
"Ford Mustang"	0.0648582
"common shares"	0.0645673
knickknack	0.0642294
"baseball card"	0.064077
Barbies	0.0640382
"mink coat"	0.0630466
Banknote	0.0616627
"Treasury note"	0.0615105
bodysuits	0.0612609
"stiletto heel"	0.0609168
tapa	0.0607387
"golf equipment"	0.0606045
kwanza	0.0598554
"Arie Luyendyk"	0.0593734
Navajos	0.0589671
weevil	0.058689
Ferraris	0.0586688
"Land Cruiser"	0.0584827
"frequently asked question"	0.0584575
freeloader	0.0580798
VMs	0.0578997
"Bordeaux wine"	0.0578058
"steam locomotive"	0.0572158
"Terrence Long"	0.0571771
"Jeep Cherokee"	0.056744
"political detainee"	0.0554395
headband	0.0553832
poinsettia	0.0553188
pluses	0.0552289
"Todd Walker"	0.0552127
collectibles	0.0551391
"scientific instrument"	0.0550498
marketeers	0.0548944
choker	0.0545353
Play-Doh	0.0544216
"wrapping paper"	0.0537334
miniskirt	0.0537052
"alcoholic beverage"	0.0536863
deserter	0.0535521
salamander	0.0533876
Bosnians	0.0532862
clothes	0.0529857
"traveler's check"	0.0526734
registrant	0.0524767
"bank note"	0.0520401
"sports jacket"	0.051911
blinder	0.0518701
"word of advice"	0.0515649
metical	0.0513615
livery	0.0512176
portables	0.0511554
"summer house"	0.0511189
Kansan	0.0510773
"Ford Expedition"	0.0510566
"contact lense"	0.0509813
G-string	0.0509098
"department head"	0.0508056
wristwatch	0.0504563
depositor	0.0502147
becuase	0.0500461
"loose end"	0.04994
vas	0.0498803
steelworker	0.0498493
cultivar	0.0497393
"point system"	0.0495897
gyroscope	0.0495449
"hot pants"	0.0495047
"manor house"	0.0494357
scrip	0.0493704
"dollar bill"	0.0492357
Mojo	0.049231
"baseball glove"	0.0489834
"genetic disease"	0.0489801
Chinese-Indonesians	0.0489619
"wonder drug"	0.0488482
"Sri Lankans"	0.0486649
"Honda Civic"	0.0486638
well-wisher	0.0485793
enlistee	0.0484805
pimpernel	0.0484596
"San Franciscans"	0.0483983
"market watcher"	0.04832
armband	0.048316
"bowler hat"	0.0480956
"value added tax"	0.0480346
asylum-seekers	0.0479213
"body bag"	0.0478719
celebs	0.0478402
hubcap	0.0477526
sedum	0.0477498
whistleblowers	0.0477069
"trade secret"	0.0475734
"compact disk"	0.0475717
corduroy	0.0475161
"news event"	0.0474694
"evening bag"	0.0474008
bustier	0.0473977
"Alberto Tomba"	0.0473262
blackbird	0.0467217
Englishmen	0.0467051
"warning light"	0.0466885
"Scott Rolen"	0.0463905
caveat	0.0463585
Beijingers	0.0463064
"business unit"	0.0462186
mink	0.0460531
mitten	0.0459156
"portable computer"	0.0458587
underpants	0.0457398
"neurological disease"	0.0456691
illegals	0.045337
"fur coat"	0.0452887
job-seekers	0.0452737
"hot issue"	0.0451236
"reference work"	0.044987
Atlantans	0.0449511
"hot stock"	0.0449098
"car dealer"	0.044882
"mountain gorilla"	0.0448261
Miata	0.0447954
"Toyota Corolla"	0.0446678
"South Carolinian"	0.0446547
satchel	0.0446502
impala	0.0446154
IOU	0.0445958
"evening gown"	0.0445395
"agenda item"	0.0444943
REITs	0.0444825
rial	0.0444766
tidbit	0.0444305
"telephone booth"	0.0444086
"Palm III"	0.0441544
"software package"	0.0441402
statuette	0.0440228
drumstick	0.0439637
autoworkers	0.0437887
"chain letter"	0.0436869
paraphernalia	0.0436697
"trading card"	0.0436086
Merloni	0.0436008
miniskirts	0.0435974
bellbottoms	0.0435515
agro-techniques	0.0434459
holidaymaker	0.0434098
four-door	0.0433071
"Member States"	0.0432663
"church member"	0.0432034
"prayer book"	0.0431848
"benefit program"	0.0430917
Arab-Americans	0.0430867
ISPs	0.0429444
"Miguel Indurain"	0.0429375
rejoicing	0.0429186
yearling	0.0428986
earplugs	0.0428158
"PT Cruiser"	0.0428134
"precious metal"	0.0427588
enactors	0.0427298
respects	0.0427145
"major leaguer"	0.0426896
"loaf of bread"	0.0426396
concertgoers	0.0426218
parachutist	0.0425261
"rubber boot"	0.0425241
"dance step"	0.0424497
camcorder	0.0423742
gizmo	0.0423132
slipper	0.0422524
"aerospace engineer"	0.0422126
"Bob Bullock"	0.0421968
"fire chief"	0.0421516
"Bobby Rahal"	0.0420838
motherboards	0.0420829
"silver dollar"	0.041964
manhole	0.0419189
member-states	0.0419064
iteration	0.0418304
Ecuadoreans	0.0418168
knockoffs	0.0418101
"Medicare HMOs"	0.0417957
surfboard	0.04179
hypotheses	0.0417695
"engagement ring"	0.0417551
bandana	0.0416861
"market participant"	0.0416077
"department employee"	0.0415142
ATX	0.0413936
))
(bear (desc 43066.5) (sims
"black bear"	0.185342
deer	0.181404
elephant	0.144686
leopard	0.137195
monkey	0.131574
lion	0.12921
moose	0.128919
tiger	0.128
alligator	0.124233
crocodile	0.120301
raccoon	0.120116
CAT	0.118547
"mountain lion"	0.117839
wolf	0.116458
dog	0.115998
elk	0.115603
rhinoceros	0.115048
animal	0.114968
antelope	0.11493
rabbit	0.114569
bird	0.112151
turtle	0.110125
rhino	0.108291
snake	0.107722
"giant panda"	0.104183
"wild boar"	0.103064
squirrel	0.102493
giraffe	0.101099
pig	0.100802
"grizzly bear"	0.100261
panda	0.0996027
beaver	0.098476
whale	0.0962554
gorilla	0.095204
coyote	0.0939354
cheetah	0.0920666
boar	0.0916209
bobcat	0.0909056
"polar bear"	0.0904694
otter	0.0903224
cow	0.0898569
rat	0.0898381
sheep	0.0882918
zebra	0.0880531
orangutan	0.0872442
hippo	0.0853198
owl	0.0850819
geese	0.0845751
chimpanzee	0.0843515
horse	0.0838094
Dinosaur	0.0835129
goat	0.0834256
wildlife	0.083233
"snow leopard"	0.0826808
pheasant	0.0826152
shark	0.0819397
bison	0.0816529
"Bengal tiger"	0.0806074
creature	0.0805935
waterfowl	0.0803742
eagle	0.0792088
frog	0.0787086
fish	0.0776338
lizard	0.0770114
"sea turtle"	0.0768733
porcupine	0.0762929
dragon	0.0755878
chimp	0.0754387
duck	0.0753409
insect	0.0752475
predator	0.0751811
Primate	0.0748749
mammal	0.0742359
lynx	0.0741297
rodent	0.0741241
spider	0.073857
camel	0.0737213
mice	0.0736738
beast	0.0734494
peacock	0.0731223
quail	0.0729149
kangaroo	0.0728977
gazelle	0.0721484
skunk	0.0718988
goose	0.0715131
caribou	0.0711528
donkey	0.0703542
ibis	0.0701613
dolphin	0.0700069
ape	0.0694727
pigeon	0.0685413
"mountain gorilla"	0.0684719
tortoise	0.0680594
mink	0.0676718
"rare bird"	0.067543
critters	0.0655234
ox	0.0651956
bull	0.0650327
boy	0.0649867
specie	0.0649354
rattlesnake	0.0647273
hare	0.064704
"gray whale"	0.0643276
swan	0.063357
"sea otter"	0.0631735
bunny	0.0628802
ant	0.0623032
grizzly	0.0621878
oxen	0.0615801
monster	0.0611664
mouse	0.0611344
cougar	0.0610262
Condor	0.0609731
human	0.0595704
"sea lion"	0.0592747
"bald eagle"	0.0591862
Vulture	0.0591642
parrot	0.0589787
crow	0.0588639
Crane	0.0586939
trout	0.0586766
witch	0.0586702
worm	0.0585672
manatee	0.0584637
"teddy bear"	0.0584539
reptile	0.0583881
baboon	0.0580967
"Bear Stearns"	0.0577624
python	0.0577305
hamster	0.057193
"young man"	0.0569679
pup	0.0567331
kid	0.0567076
baby	0.0566146
doll	0.0564632
reindeer	0.0564358
Pony	0.0563781
mosquito	0.0560878
pet	0.0559993
robber	0.055162
Hunter	0.0550809
hog	0.0549854
sparrow	0.0548681
girl	0.054676
ostrich	0.0544243
calf	0.0543007
salmon	0.0542874
"Lehman Brothers"	0.0541886
"Salomon Smith Barney"	0.0540655
puppy	0.053995
sturgeon	0.0539868
egret	0.0535175
rooster	0.0532162
flamingo	0.052835
dove	0.0527779
llama	0.0527675
Fox	0.0526046
cattle	0.052221
iguana	0.0521779
person	0.052077
teen-ager	0.0520466
butterfly	0.0518196
moth	0.0517947
toad	0.0517216
guy	0.051609
"Goldman Sachs"	0.0515957
heron	0.0515744
alien	0.0512955
chicken	0.0511676
seal	0.0511239
Killer	0.0509599
"young woman"	0.0505386
mule	0.0504258
mascot	0.0503914
character	0.0503497
tree	0.0502195
"Credit Suisse First Boston"	0.0501937
yak	0.0500839
dancer	0.0498567
Buffaloes	0.0496891
bug	0.0496535
bee	0.0496155
Cop	0.049611
soldier	0.0489518
salamander	0.0488117
"Merrill Lynch"	0.0487458
"little girl"	0.0487037
ghost	0.0486834
BEARS	0.0485805
kitten	0.0485279
hummingbird	0.0485054
male	0.0483085
panther	0.0482323
clown	0.0481958
sailor	0.047991
infant	0.0478859
fossil	0.0477686
lamb	0.0476673
bat	0.0476019
lobster	0.0475988
))
("Bear Bryant" (desc 1647.03) (sims
"Don Shula"	0.148414
"Tom Osborne"	0.14016
"Joe Paterno"	0.127006
"John Wooden"	0.120041
"Rick Neuheisel"	0.118382
"Tony Dorsett"	0.115415
"Bobby Bowden"	0.109716
"Jim Harrick"	0.0936195
"Roy Emerson"	0.0934527
"Barry Switzer"	0.0927234
"Bill Walsh"	0.091332
"Lou Holtz"	0.0888363
Slocum	0.0852982
"Joe Gibbs"	0.0832071
"Dean Smith"	0.0830364
"Scotty Bowman"	0.0822603
"Dennis Erickson"	0.081839
"Tom Landry"	0.0817175
Dorsett	0.0814871
"Norv Turner"	0.0796891
"Steve Spurrier"	0.0795322
"Pat Burns"	0.0784359
"Roy Williams"	0.0783975
"Steve Mariucci"	0.078214
"Mike Holmgren"	0.0778604
"Ty Cobb"	0.0778022
Fiorina	0.0764249
"Paul Westphal"	0.0732342
"Ivan Lendl"	0.0722331
"Red Auerbach"	0.0718221
"Roger Maris"	0.0716425
"Jerry Sloan"	0.0713628
"Phoenix Mercury"	0.0701687
"Bora Milutinovic"	0.069971
"Billie Jean King"	0.0692775
"George Seifert"	0.0675973
"Los Angeles Galaxy"	0.0674354
"Lenny Wilkens"	0.0671103
"Al Groh"	0.0653583
ADM	0.064609
Lobos	0.064573
"Tim Floyd"	0.0643428
"Hank Aaron"	0.063824
"Bill Shoemaker"	0.0635613
"Gordie Howe"	0.0630799
"John Calipari"	0.0630679
"Mack Brown"	0.0627287
Maris	0.0627052
"Walter Payton"	0.0621641
"Jim Brown"	0.0617405
"Tommy Bowden"	0.061394
"Glenn Hoddle"	0.0613127
"Don Zimmer"	0.0610953
"Walter Zenga"	0.0608896
"Jim Calhoun"	0.0608119
"Mike Dunleavy"	0.0602775
"Kevin Keegan"	0.0601437
"Jimmy Connors"	0.0599678
"Dennis Green"	0.0592859
"P.J Carlesimo"	0.0592254
"Bank of Montreal"	0.0591914
"John Robinson"	0.0591905
"Paul Silas"	0.0590953
Landry	0.0587823
"Dennis Johnson"	0.0585942
"Bjorn Borg"	0.0585658
Morceli	0.0583571
"Bill Parcells"	0.0582557
gamecock	0.0580484
"Miami Fusion"	0.0580423
Sather	0.0576178
Willes	0.0575673
"Tony Dungy"	0.0575651
"Tar Heels"	0.0573976
"Vince Lombardi"	0.0568801
Ponciano	0.0564644
"Duke Snider"	0.0562218
Pincay	0.0560573
"TOM COUGHLIN"	0.0559245
"Bob Knight"	0.0555101
Cremins	0.0555087
"Jimmy Johnson"	0.0553741
"Mike Martz"	0.0551421
Solich	0.055141
"Roush Racing"	0.0550164
"Ken Hitchcock"	0.0546798
"Doc Rivers"	0.0545894
"Red Star"	0.0544438
"Babe Ruth"	0.0543738
Grambling	0.0540417
"Butch Carter"	0.0539627
"Del Harris"	0.0538743
"Larry Brown"	0.0538243
"Rod Carew"	0.0535569
Stephenville	0.0530411
Donnan	0.0530045
"Rudy Tomjanovich"	0.0528891
Howe	0.052539
Samuelson	0.0524103
Wilhelm	0.0521793
"Dick Vermeil"	0.0520619
Uri	0.0519577
"Juan Marichal"	0.0518427
"Hack Wilson"	0.0517991
Dukakis	0.0515757
"National Collegiate Athletic Association"	0.0514274
"Don Nelson"	0.0513588
Napolitano	0.051329
Caruso	0.0511396
"Ruud Gullit"	0.0510369
"Chan Gailey"	0.050994
IAI	0.0509338
"Chuck Daly"	0.0508588
MSU	0.0506529
Spurrier	0.0504423
"Mike Krzyzewski"	0.0501363
Paterno	0.0500716
"chorus line"	0.0499482
shoemaker	0.0498433
Tomlinson	0.0497384
"Martina Navratilova"	0.049506
"Georgia Southern"	0.0494928
"Bela Karolyi"	0.0494755
"Sam Houston"	0.0493437
Supersonics	0.049294
poly	0.0492206
"Mike Shanahan"	0.0490823
Lucasfilm	0.0489682
"Chris Palmer"	0.0488516
"Pat Riley"	0.0488023
"Bill Belichick"	0.0487214
RedHawks	0.048491
"Rick Pitino"	0.0483679
USTA	0.0482604
"Southern Cal"	0.0480506
"Byron Nelson"	0.0477568
"Buddy Holly"	0.0474614
Deportivo	0.0472137
Marichal	0.0470518
"Rich Brooks"	0.0470371
"Bank of Israel"	0.0469813
Sybase	0.046951
"Nittany Lions"	0.0469303
Federated	0.0468453
"Army Air Corps"	0.0468075
"Dave Stewart"	0.0466492
Poplasen	0.0463477
"Gap Inc."	0.0463356
Harrick	0.0462403
"Dave Campo"	0.0460237
"Washington Mystics"	0.0457922
Pryor	0.0456025
"Bobby Knight"	0.0455911
Espinosa	0.045455
"Frank Gifford"	0.0452851
Taft	0.0452382
Kilborn	0.0452188
"Dom Capers"	0.0451025
"Kurt Rambis"	0.045082
Millner	0.0450693
"Bill Cowher"	0.0449818
"John Smith"	0.0448301
"Science City"	0.0446388
UNC	0.0446124
"George Karl"	0.0443828
"Ray Rhodes"	0.0443202
"Dave Cowens"	0.0442867
Grbac	0.0442647
Nicol	0.0438469
"Atlanta Hawks"	0.0438233
Cline	0.0437679
"Mel Stottlemyre"	0.0436915
Katsav	0.0436735
"Dick Jauron"	0.04365
"Brady Bunch"	0.0435455
Mavs	0.0434456
"Paul Johnson"	0.043411
Barnett	0.0433183
Herta	0.043255
Newsome	0.0431965
Byrdsong	0.0431807
Henson	0.0431604
Irvan	0.043101
"Dave Wannstedt"	0.042989
"Gillette Co."	0.0429109
"San Diego Chargers"	0.0428729
"Volvo AB"	0.0427439
Tendulkar	0.042654
Schalke	0.0426046
Vallone	0.0425857
"Horned Frogs"	0.0425812
"Mississippi State"	0.0425438
"Jack Nicklaus"	0.0425215
"Tex Winter"	0.042521
Dunbar	0.0422384
K-State	0.0421437
"Detroit Lions"	0.042129
"Brian Billick"	0.0419336
NYPD	0.0417059
shoplifter	0.0416262
))
("bear hug" (desc 3855.6) (sims
Hug	0.146732
smooch	0.0997026
high-fives	0.0959467
thumbs-up	0.0865115
fife	0.0806744
fillip	0.0804129
whoop	0.0783275
send-off	0.0765055
ovation	0.0751204
"hole in the ground"	0.0690172
"goose bumps"	0.0666508
wink	0.0665125
handshake	0.0659692
sendoff	0.0643442
"bill of health"	0.0625362
"cold shoulder"	0.0619143
pleasantry	0.0617768
"Christmas present"	0.055774
applause	0.0555004
"monkey wrench"	0.0554736
"human face"	0.0547602
"all clear"	0.0544195
"Dallas Burn"	0.0542746
"history lesson"	0.0533158
greeting	0.0531538
chitchat	0.0526146
"speeding ticket"	0.0519593
YAWN	0.0518296
"seal of approval"	0.051
"standing ovation"	0.0506785
benediction	0.0493836
"short shrift"	0.0490061
"blank check"	0.0488542
hello	0.0483426
fireball	0.0480284
"black eye"	0.0475012
"dollar sign"	0.0470557
oomph	0.0468678
"small talk"	0.0458325
"positive feedback"	0.045613
goosebumps	0.0455298
Lowdown	0.0451478
keystroke	0.0450453
"birthday present"	0.04482
"electric shock"	0.0445653
twinkle	0.0442983
"a few words"	0.0438546
"deposit box"	0.0438017
"progress report"	0.0431272
tirade	0.04309
IOU	0.0427017
"knockout punch"	0.0424493
culpa	0.0423843
cellophane	0.0417956
"Christmas gift"	0.0414324
congratulation	0.0413974
"margin call"	0.0410988
"form letter"	0.0410114
soliloquy	0.0409794
"coat of paint"	0.0406414
tarpon	0.0404694
prodding	0.0403933
"mushroom cloud"	0.0402986
"marriage proposal"	0.0400466
))
("bear market" (desc 7917.68) (sims
"market correction"	0.137542
"bull market"	0.134659
downturn	0.133995
recession	0.128501
deflation	0.112457
slump	0.108902
Correction	0.10422
downturns	0.0990751
shakeout	0.09769
sell-off	0.0976177
"heat wave"	0.0963231
"rainy season"	0.0927607
selloff	0.0916369
"dry season"	0.0915013
slowdown	0.0886212
tailspin	0.0877646
"economic crisis"	0.0854887
"bank failure"	0.083779
upheaval	0.0835897
boom	0.0834647
"basketball season"	0.0829573
"Arab-Israeli War"	0.0813855
drought	0.0813713
meltdown	0.0811803
bloodletting	0.0811638
"cold spell"	0.0778449
famine	0.0766058
"cash crunch"	0.0765034
snowstorm	0.0759139
"ice age"	0.0752694
stagnation	0.0751885
"growing season"	0.0735607
contraction	0.073356
"Balkan Wars"	0.0732511
"trading session"	0.0726533
eruption	0.0726062
"price war"	0.071934
"work stoppage"	0.071405
calamity	0.0713377
Depression	0.0706487
"cold snap"	0.069921
epidemic	0.0698901
upturn	0.0697549
bubble	0.0696585
catastrophe	0.0694483
swoon	0.0692683
"fatal accident"	0.0690809
selloffs	0.0686238
uptrend	0.0685083
"power failure"	0.0682812
"Cultural Revolution"	0.067657
"academic year"	0.0675358
"Iran-Iraq War"	0.0675172
crunch	0.0673106
spiral	0.0672154
battering	0.0671516
"rate rise"	0.0663358
turbulence	0.066182
"El Nino"	0.0658623
monsoon	0.0657369
"Ryder Cups"	0.0655716
cycle	0.0652069
"rate increase"	0.0640132
Typhoon	0.0637643
"baseball season"	0.0636892
"business cycle"	0.0634483
crises	0.0629411
thaw	0.0628554
Snowfall	0.0625268
turmoil	0.0619543
"civil war"	0.0618051
nosebleed	0.0616423
"financial year"	0.0615206
rationing	0.0614609
conflagration	0.0613075
shutdown	0.061161
bloodbath	0.061148
"chain reaction"	0.0609703
doldrums	0.0608751
"fishing season"	0.0608345
"rate hike"	0.0605226
lull	0.0601483
relapse	0.0601343
"takeover battle"	0.0600557
"price change"	0.0598707
hurricane	0.0598088
outage	0.0594679
sandstorm	0.0594206
"interest rate increase"	0.0593278
"football season"	0.0592074
"labor dispute"	0.0588363
mania	0.0587566
blowout	0.0585008
pandemic	0.0584936
volatility	0.0583843
downdraft	0.0581744
"nose dive"	0.0581514
"Bull Run"	0.0578227
earthquake	0.057668
"nervous breakdown"	0.057584
"identity crisis"	0.05745
sunburn	0.0574022
warming	0.0571827
"tour of duty"	0.056954
"dust bowl"	0.0568543
purge	0.0565701
"liquidity problem"	0.056484
puberty	0.0563302
homestand	0.0563248
"gold rush"	0.0562904
devaluation	0.0562539
blackout	0.0562279
tumult	0.0561812
carnage	0.0560538
Quake	0.0560089
"price increase"	0.0556831
lockout	0.0554314
landslide	0.0551476
setback	0.0551086
hyperinflation	0.0549395
Christmases	0.054902
"dust storm"	0.0548074
"transition period"	0.0547888
shakeup	0.0546258
interruption	0.0545392
turnaround	0.0545208
outages	0.0544926
"Great Depression"	0.0544175
menopause	0.0542264
hangover	0.053947
schism	0.0538766
backlash	0.0538712
"financial loss"	0.0538374
letdown	0.0537953
deterioration	0.0537647
miscarriage	0.053754
"tidal wave"	0.0537467
"guessing game"	0.0536444
"asthma attack"	0.0535986
"crime wave"	0.0533863
"presidential term"	0.0533828
craze	0.0533782
debacle	0.0533654
frenzy	0.0532062
"industrial revolution"	0.0531632
flare-up	0.0530576
downpour	0.052976
heatwave	0.0529181
deluge	0.0528804
uprising	0.052708
layoff	0.0526184
go-round	0.0524206
apocalypse	0.0523898
dropoff	0.052308
Frost	0.0520274
"La Nina"	0.0518416
gyration	0.0518082
"volcanic eruption"	0.0517466
outbreak	0.0514112
cutback	0.0513589
"holiday season"	0.0513487
panic	0.0511004
hiccup	0.0510027
"job cut"	0.0510002
tornado	0.0509321
"ice storm"	0.050809
"military campaign"	0.0507277
derailment	0.0506826
"management shakeup"	0.0505562
reshuffle	0.0504974
tremor	0.0504687
rainstorm	0.0504664
insurrection	0.0504536
"hard times"	0.0504305
mishap	0.0504118
renaissance	0.0503734
semester	0.0502361
downslide	0.0502109
phenomenon	0.0500892
default	0.0500651
year.	0.0500148
draught	0.0500017
malaise	0.0498568
"cold wave"	0.0497893
wildfire	0.049773
migraine	0.0497416
disruption	0.0496895
"calendar year"	0.0495003
temblor	0.0494873
unrest	0.0494362
overcapacity	0.0493813
falls	0.0492965
gangrene	0.0492372
riot	0.0492007
blizzard	0.0491955
fluctuation	0.0489897
"hunting season"	0.0488963
"school year"	0.0488533
chaos	0.0488096
escalation	0.0487907
))
("Bear Stearns" (desc 6449.25) (sims
"Lehman Brothers"	0.295278
PaineWebber	0.292723
"Morgan Stanley Dean Witter"	0.284268
"Donaldson, Lufkin &AMP; Jenrette"	0.283879
"Merrill Lynch"	0.265899
"Goldman Sachs"	0.265772
"NationsBanc Montgomery Securities"	0.261908
"Salomon Smith Barney"	0.258142
"Hambrecht &AMP; Quist"	0.254806
"Warburg Dillon Read"	0.252007
"Credit Suisse First Boston"	0.248684
"Merrill Lynch &AMP; Co."	0.246487
"Prudential Securities"	0.239509
"Paine Webber"	0.239392
"Morgan Stanley"	0.225105
"J.P. Morgan"	0.22334
"BancBoston Robertson Stephens"	0.22143
"ING Barings"	0.208637
"Goldman, Sachs &AMP; Co."	0.2044
Goldman	0.201615
"Goldman Sachs &AMP; Co."	0.185609
"ABN AMRO"	0.184326
"Robertson Stephens"	0.181529
"Edward Jones"	0.179472
"Bankers Trust"	0.176807
"Morgan Stanley Dean Witter &AMP; Co."	0.174981
"Deutsche Bank"	0.16959
"CS First Boston"	0.168606
Citigroup	0.158314
Banc	0.142354
"Bank of America"	0.141326
Donaldson	0.141238
"Chase Manhattan Bank"	0.140279
"Goldman Sachs Group"	0.137072
Paribas	0.135865
Citibank	0.134096
"Jupiter Communications"	0.133393
"J.P. Morgan &AMP; Co."	0.133373
Merrill	0.132459
BankAmerica	0.130551
HSBC	0.129286
UBS	0.127626
"JP Morgan"	0.124547
Commerzbank	0.122579
"Yankee Group"	0.121422
"Salomon Brothers"	0.12132
"CBS Sports"	0.119922
"Credit Suisse"	0.119525
"Dresdner Bank"	0.118854
"RAND Corp."	0.11873
"Chase Manhattan"	0.117172
ETrade	0.116918
"Times Co."	0.115222
"brokerage firm"	0.11356
Dataquest	0.112021
"Charles Schwab"	0.111939
DRI	0.111667
"Ernst &AMP; Young"	0.109115
BankBoston	0.108457
RJR	0.106831
"Legg Mason"	0.106593
"First Union"	0.106083
"Wells Fargo"	0.104011
"Forrester Research"	0.103941
GANNETT	0.10364
Halliburton	0.102047
"Conde Nast"	0.100703
"Smith Barney"	0.0991777
Nomura	0.0988719
IDC	0.0976037
Genentech	0.0974464
Schwab	0.0969901
"Fidelity Investments"	0.0965922
Citicorp	0.0958918
"International Data Corp."	0.0957958
Aetna	0.0956078
"Nomura Securities"	0.0952739
"U.S. Trust"	0.0952344
Instinet	0.0950704
"Gartner Group"	0.0944742
"Standard &AMP; Poor"	0.0939642
MetLife	0.0938509
"A.R Baron"	0.0934645
"Times Mirror"	0.0934243
AIG	0.0932873
Corp.	0.0923053
"Societe Generale"	0.0914191
Texaco	0.0912149
Enron	0.0909308
"Charles Schwab Corp."	0.0906372
MP@.com	0.0901621
Viacom	0.090107
"American Home"	0.0898966
"brokerage house"	0.0898713
"Con Ed"	0.0897942
"Coca-Cola Enterprises"	0.0897834
PricewaterhouseCoopers	0.089419
Salomon	0.0888418
"BankBoston Corp."	0.088673
Cargill	0.088624
Checkfree	0.0885589
Chevron	0.0883638
"P&AMP;G"	0.0882202
REVLON	0.0881086
All-Tech	0.0877981
"Thermo Electron"	0.0875726
Cendant	0.0867512
ARCO	0.0867174
"American Express"	0.0866079
"Rite Aid"	0.0864538
NiSource	0.0864211
"Dean Witter"	0.0860307
"Deloitte &AMP; Touche"	0.0857724
"Gap Inc."	0.0853152
CCE	0.0852757
"Philip Morris"	0.0852318
"Sara Lee"	0.0849953
SmithKline	0.0849874
brokerage	0.0849842
BofA	0.0848752
"Con Edison"	0.0847092
"Travelers Group"	0.084699
"Phelps Dodge"	0.0846174
"Berkshire Hathaway"	0.0841632
NORTHROP	0.0841159
"Gomez Advisors"	0.0840906
"Quick &AMP; Reilly"	0.0837705
Genzyme	0.0836752
Ciena	0.0833789
"Credit Lyonnais"	0.0829442
"Bank of New York"	0.0826365
NatWest	0.082468
"Center for Democracy"	0.0821701
ADM	0.0818427
"True North"	0.0818261
Sunbeam	0.0812243
McKesson	0.0811223
Monsanto	0.0811139
EMC	0.0809731
Raytheon	0.0808769
"Bell Atlantic"	0.0800722
Humana	0.0800227
"Eastman Kodak"	0.0795569
AlliedSignal	0.0794294
"J&AMP;J"	0.079415
"Federal Reserve Bank"	0.0794076
Datek	0.0793647
"CMGI Inc."	0.079362
Seagram	0.0792011
"American Home Products"	0.079192
CMGI	0.0791312
"John Hancock"	0.0787199
CUC	0.078416
CNET	0.0783689
"Morningstar Inc."	0.0782417
"Natural Resources Defense Council"	0.0781352
ExciteAtHome	0.0778742
"Boston Scientific"	0.0776516
Pairgain	0.077498
EDS	0.0770074
AMR	0.0769909
ZIFF-DAVIS	0.076866
"Family Research Council"	0.0765914
Marketspan	0.0765624
"New York Times Co."	0.0764355
Federated	0.0764132
"Network Associates"	0.0761035
Emulex	0.0760688
Biogen	0.0760545
"Texas Instruments"	0.0759454
Morningstar	0.0757047
AHP	0.0756317
Chiron	0.0756073
Hilton	0.0754818
Alcoa	0.0754137
Litton	0.0752112
"Computer Associates"	0.0751315
"Time Warner"	0.0750437
"MCI WorldCom"	0.0750114
Barclays	0.0749817
NationsBank	0.0749254
Asarco	0.074916
E-Trade	0.0745882
"Procter &AMP; Gamble"	0.0745676
Seagate	0.0742197
"International Paper"	0.0742033
"Andersen Consulting"	0.0741404
"General Motors"	0.0738284
DaimlerChrysler	0.0737483
Novell	0.0737439
"U S West"	0.0737255
"Walt Disney Co."	0.0736264
"Koch Industries"	0.0736029
Warner-Lambert	0.0735568
BNFL	0.0735361
Kellogg	0.0734861
Unilever	0.0729889
WorldCom	0.0729285
"Center for Strategic"	0.0729164
Pepsico	0.0729162
))
(bearcat (desc 2189.42) (sims
Boilermakers	0.223451
terrapin	0.211821
Hawkeyes	0.20715
gamecock	0.196976
Minutemen	0.194209
Sooners	0.186578
Huskers	0.182696
"Tar Heels"	0.180622
"blue devil"	0.170496
Cornhusker	0.168827
Wolfpack	0.166698
"Nittany Lions"	0.16544
"Scarlet Knights"	0.163751
buckeye	0.1625
NAU	0.159257
Jayhawks	0.157947
"Red Storm"	0.156185
Stephenville	0.155931
wildcat	0.155409
Lobos	0.15445
Hokies	0.151553
"Fighting Irish"	0.148773
RedHawks	0.147333
Starzz	0.146299
"Old Dominion"	0.145082
Illini	0.143799
Gators	0.143448
Spartan	0.142678
"Golden Hurricane"	0.141722
cougar	0.141156
badger	0.14003
Pepperdine	0.13966
Vols	0.135658
"Crimson Tide"	0.135215
Utes	0.134678
Terps	0.133741
Samford	0.133619
K-State	0.133483
Wolverine	0.133243
Razorback	0.132263
Seminoles	0.131612
Av	0.131071
husky	0.130583
UAB	0.12794
OSU	0.127892
"Red Raiders"	0.127065
bulldog	0.124786
BUCCANEER	0.124024
Aggies	0.12353
Longhorn	0.123308
"Brian Moehler"	0.122158
Hoosier	0.121601
Springbok	0.121418
rios	0.121245
Hoya	0.120293
Bucs	0.120103
"Los Angeles Galaxy"	0.119772
"Northern Arizona"	0.118569
"Southwest Missouri State"	0.117944
"Arkansas State"	0.117457
"Iowa State"	0.117371
lumberjack	0.116882
Evansville	0.116818
Rattler	0.115479
MSU	0.115319
matador	0.115004
gopher	0.114169
cavalier	0.113488
"South African Amanda Coetzer"	0.111772
"Saint Louis"	0.11128
Sparks	0.111145
"Michigan State"	0.110889
PAOK	0.110128
Supersonics	0.109276
"Texas Tech"	0.107618
"Louisiana Tech"	0.107583
Hofstra	0.106872
"yellow jacket"	0.106554
Alabama-Birmingham	0.106061
"Mississippi State"	0.106017
"Ji Xinpeng"	0.10517
Rueter	0.10511
"Oklahoma State"	0.10485
Rutgers	0.103365
"Weber State"	0.102846
UConn	0.102297
BYU	0.102279
"Penn State"	0.101508
Marquette	0.101353
Purdue	0.101047
Buffaloes	0.100361
UMass	0.100139
bruin	0.0998964
"Montana State"	0.0996413
sixer	0.0991124
"Virginia Tech"	0.0989389
"Peter Rasmussen"	0.0989281
"Kansas State"	0.0988179
gaucho	0.098627
LSU	0.0985806
"UC Santa Barbara"	0.0985562
Cavs	0.0983894
"American Chanda Rubin"	0.0983185
"San Jose State"	0.0981766
"N.C. State"	0.0981754
"Australian Mark Philippoussis"	0.0972275
Trojan	0.097206
grizzly	0.0970945
Gonzaga	0.096968
owl	0.0968585
Coetzer	0.0964618
Ivanisevic	0.0963272
Xavier	0.096252
"Appalachian State"	0.0959665
"Georgia Southern"	0.0956973
MetroStars	0.0951568
"Ohio State"	0.0949534
"Fabrice Santoro"	0.0949457
"Jason Schmidt"	0.0940591
Timberwolves	0.0939068
Tulane	0.0938423
"Horned Frogs"	0.0937043
"North Carolina State"	0.0933101
"Poul-Erik Hoyer-Larsen"	0.0932978
"Patrick Rafter"	0.0931946
Hentgen	0.0927237
"Marcelo Rios"	0.0925269
"Jon Lieber"	0.092263
Olympiakos	0.0918561
Ferreira	0.0916158
"Seton Hall"	0.0913764
Kile	0.0913556
"Miami Fusion"	0.0910253
Villanova	0.0909914
"Russian Yevgeny Kafelnikov"	0.0908173
wallaby	0.0906537
"Gong Ruina"	0.0906423
"Phoenix Mercury"	0.0902383
"Partizan Belgrade"	0.0899505
Fordham	0.0897973
Nicol	0.0897631
"Sanchez Vicario"	0.0894794
commodore	0.0893343
"Louisiana State"	0.0892116
"Woody Williams"	0.0891095
"Gong Zhichao"	0.089048
Gustafsson	0.0887666
Eagles	0.0886758
"Steve Parris"	0.0884634
Steelers	0.088202
Uri	0.0880244
niner	0.0879756
"Colorado State"	0.087967
"Phenix City"	0.0877946
Canuck	0.0875964
"Oregon State"	0.087372
"Alberto Costa"	0.0873438
Lehigh	0.0872605
Stanford	0.0871529
Bere	0.0869565
"Wang Chen"	0.0869519
"Ye Zhaoying"	0.0869267
"Zhang Ning"	0.0869109
"Dallas Burn"	0.0867038
piston	0.086697
Daal	0.0866742
ASU	0.0866084
Briggs	0.0865892
Radke	0.0865097
"Houston Comets"	0.0864873
Furman	0.0864358
Hermanson	0.0864278
CSUN	0.0863979
"Maple Leafs"	0.0863965
"Goran Ivanisevic"	0.0862549
Kafelnikov	0.0856978
spikers	0.0855882
Ruelas	0.0853912
bronco	0.0853088
SMU	0.0852919
Stephenson	0.0852714
"American Michael Chang"	0.085233
"Trail Blazers"	0.0851001
"Florida State"	0.0850308
"Magdalena Maleeva"	0.0848178
"Briton Greg Rusedski"	0.0848011
sabre	0.0847723
TCU	0.0847164
DePaul	0.0847138
Krajicek	0.0847049
"St. Bonaventure"	0.0844497
Sonics	0.0844382
Novotna	0.0841507
"Joko Suprianto"	0.0840677
Winthrop	0.0838019
six-point	0.0833606
"Michael Chang"	0.0833536
"Brett Tomko"	0.0832749
"D.C. United"	0.0830712
pacer	0.0829795
))
(Beard (desc 22956.9) (sims
goatee	0.263554
mustache	0.233452
hair	0.174665
sideburn	0.165965
ponytail	0.153933
moustache	0.149232
wig	0.119483
mane	0.118015
dreadlocks	0.115917
"dark glasses"	0.115774
whisker	0.112916
stubble	0.110466
hat	0.106752
"cowboy hat"	0.106259
robe	0.106136
"leather jacket"	0.103199
braid	0.103141
beret	0.102458
haircut	0.10182
scarf	0.101494
"bow tie"	0.100532
earring	0.0995056
sunglasses	0.0989934
"nose ring"	0.098541
turban	0.0969845
bandanna	0.0967307
hairdo	0.094459
"cowboy boot"	0.092632
sweater	0.0916398
shirt	0.0915937
overcoat	0.0913313
trouser	0.0903193
eyebrow	0.0881954
jacket	0.088122
coat	0.0861674
bandana	0.0858037
hairline	0.08573
"straw hat"	0.0853538
vest	0.0844147
eyeliner	0.0842868
pant	0.0841456
"baseball cap"	0.0840973
"polo shirt"	0.0827221
grin	0.0827168
Afro	0.0816673
curl	0.0807475
headdress	0.0805026
complexion	0.0803352
suspender	0.0802058
tattoo	0.0801902
"business suit"	0.0801525
"top hat"	0.0796868
pigtail	0.0795041
jean	0.0794037
skirt	0.078847
headband	0.077961
fedora	0.07791
sweatshirt	0.0778513
tunic	0.0778478
windbreaker	0.0777968
fur	0.0764871
caftan	0.0758751
eyelash	0.0757874
"dress shirt"	0.0757236
turtleneck	0.0752769
smile	0.0747125
loafer	0.0742552
sneaker	0.0739051
sandal	0.0736645
blouse	0.0725969
sock	0.0723021
"pants suit"	0.072143
dress	0.0718711
tail	0.0715695
PIERCINGS	0.0715371
eyeglass	0.0711356
mask	0.0711018
"fur coat"	0.0708003
raincoat	0.0703826
suit	0.070314
boot	0.0700194
"tennis shoe"	0.069859
skullcap	0.069843
glass	0.0692879
physique	0.0692201
pantsuit	0.0691515
necktie	0.0688916
"blue jean"	0.0687519
"crew cut"	0.0686846
T-shirt	0.0686534
gown	0.068575
Chin	0.0678075
yarmulke	0.0675471
"feather boa"	0.067089
tress	0.0669555
"trench coat"	0.0666753
shoe	0.0664117
parka	0.0657123
nose	0.0656868
waistcoat	0.0654832
undershirt	0.0651099
accent	0.0645705
cap	0.0641958
necklace	0.0638229
"ski mask"	0.0635462
bellbottoms	0.0634104
skin	0.0632842
smock	0.0630423
"sweat pants"	0.0629478
slipper	0.0624675
brow	0.0623805
"contact lense"	0.0620611
fingernail	0.0616531
cloth	0.0614714
hairstyle	0.0612167
miniskirt	0.0610707
veil	0.0608209
cardigan	0.0607789
bracelet	0.0606685
mop	0.0602498
slack	0.0589998
bodice	0.058765
mitten	0.0584152
scar	0.058354
uniform	0.0581291
biceps	0.0578602
pullover	0.0573262
sleeve	0.0568693
pajama	0.0567061
makeup	0.0567051
cheek	0.0565614
helmet	0.0564339
blond	0.0563782
knickers	0.0563486
Cape	0.0563124
jumpsuit	0.0563025
tights	0.0560671
apron	0.0560383
Sari	0.0551784
"evening gown"	0.0549541
cloak	0.0548321
limb	0.0546237
glove	0.0545822
underwear	0.0543854
kilt	0.0543749
lip	0.0543391
"good looks"	0.0542848
jersey	0.0539405
bra	0.0538837
Sash	0.053763
collar	0.0536806
coverall	0.0536081
feathers	0.0533444
blazer	0.0529793
Hood	0.0528115
Outfit	0.052637
tan	0.0525643
khaki	0.0521816
sarong	0.05217
teeth	0.0517178
armband	0.0515075
garb	0.051367
gray	0.0512822
shorts	0.0508494
torso	0.0508398
towel	0.0507683
lipstick	0.0507325
ear	0.0504155
shawl	0.0503794
feather	0.0503749
belly	0.0497587
headgear	0.0497581
snout	0.0497573
smirk	0.0494307
backpack	0.0491128
costume	0.0489775
bikini	0.0489466
bathrobe	0.0488594
Clothing	0.0483166
handbag	0.0482035
Poncho	0.0475388
bandage	0.0475255
"name tag"	0.0474593
attire	0.0473938
cheekbone	0.0471571
tongue	0.0470037
sportswear	0.0466123
demeanor	0.0465376
beak	0.0465091
shade	0.0462542
swimsuit	0.0461589
blanket	0.046098
"life jacket"	0.0457103
jaw	0.0456676
goggles	0.045257
mien	0.0450953
ribbon	0.0448211
handkerchief	0.0447395
stud	0.0445178
"running shoe"	0.0444562
))
(bearer (desc 9637.39) (sims
pallbearer	0.0826543
torchbearer	0.0803339
aspirant	0.0659225
"standard bearer"	0.0544998
"black person"	0.052445
standard-bearer	0.0522847
"reference point"	0.0510293
"sounding board"	0.0493135
breadwinner	0.0489285
frontrunner	0.0486876
arbiter	0.0484036
"altar boy"	0.04713
"guardian angel"	0.0459724
protector	0.0456059
"deputy chairman"	0.0453772
"second person"	0.045338
benefactor	0.0452793
gatekeeper	0.0450645
discoverer	0.0450534
troubleshooter	0.0450357
go-between	0.0447719
mouthpiece	0.043196
custodian	0.0431583
"legal guardian"	0.0430549
front-runner	0.0429422
valedictorian	0.0426446
bellhop	0.0423643
"Olusegun Obasanjo"	0.0412675
"national leader"	0.0412647
"role model"	0.0409373
chaplain	0.0400861
))
(bearing (desc 17902.1) (sims
impact	0.0894729
emphasis	0.0730156
repercussion	0.0627787
Ledeall	0.0618854
damper	0.0585211
brake	0.0575966
"Thomas L. Friedman"	0.0548061
keenness	0.0518172
dependent	0.0504731
valve	0.0503574
component	0.050293
stance	0.0501221
hinge	0.0485631
machinery	0.0483996
opinion	0.0483537
stranglehold	0.0482104
motor	0.0480933
"household appliance"	0.0479642
headway	0.0478585
demeanor	0.0468696
consequence	0.0461333
physique	0.0456282
perspective	0.0453944
"machine tool"	0.044834
briefing	0.0448115
"white paper"	0.0447875
seminar	0.043861
"Hosni Mubarak"	0.0437228
charisma	0.0433708
appliance	0.0432138
manner	0.0430424
Limitation	0.0430211
relevance	0.0429833
composure	0.0427887
"lighting fixture"	0.0425049
slippage	0.0423532
feedback	0.0421701
"difference of opinion"	0.0420472
ramification	0.0418531
"tax liability"	0.0418076
charm	0.0416415
"final decision"	0.0415645
"good looks"	0.0414746
pronouncement	0.0414527
insight	0.0412699
"communications equipment"	0.0412583
"building material"	0.0408392
insistence	0.0407139
viewpoint	0.0406987
symposium	0.0406303
gearbox	0.0402882
"point of view"	0.0401522
gait	0.0400047
))
(BEARS (desc 22955.4) (sims
Redskin	0.220275
Steelers	0.215754
Bengals	0.214191
Eagles	0.21416
Giants	0.209482
bronco	0.204475
ram	0.204026
falcon	0.203758
"Chicago Bears"	0.202285
packer	0.201171
Seahawks	0.198782
Raven	0.197083
Viking	0.190822
raider	0.190373
cowboy	0.188978
BUCCANEER	0.186628
charger	0.183977
panther	0.18275
cardinal	0.180639
patriot	0.178744
oiler	0.17247
dolphin	0.169622
Bucs	0.166914
colt	0.164479
"Minnesota Vikings"	0.163184
Saint	0.159688
"New York Jets"	0.157971
"Dallas Cowboys"	0.15616
"ATLANTA FALCONS"	0.15395
wildcat	0.153566
"New York Giants"	0.149141
"Washington Redskins"	0.148493
"St. Louis Rams"	0.147827
"Miami Dolphins"	0.145963
"Denver Broncos"	0.145268
Celtics	0.145207
bruin	0.145111
"Indianapolis Colts"	0.145065
"Green Bay Packers"	0.143699
clipper	0.143161
"San Diego Chargers"	0.141735
Jaguar	0.14036
husky	0.139575
lion	0.139482
"San Francisco @@ers"	0.13903
bulldog	0.138958
"Cleveland Browns"	0.137198
Sooners	0.135916
matador	0.135433
"Philadelphia Eagles"	0.134863
"New England Patriots"	0.134619
titan	0.134594
"Tampa Bay"	0.134527
gamecock	0.133337
Boilermakers	0.132763
A's	0.132508
Trojan	0.1324
Phillies	0.131267
"New Orleans Saints"	0.130781
piston	0.130292
Hornet	0.129877
"White Sox"	0.129729
"Oakland Raiders"	0.129591
"Green Bay"	0.129338
Lakers	0.12933
cougar	0.128985
Sonics	0.128686
"Chicago Bulls"	0.127911
"blue jay"	0.126805
"Kansas City Chiefs"	0.12652
"Oregon State"	0.126035
Padre	0.125783
"Carolina Panthers"	0.125118
pacer	0.125083
"Tar Heels"	0.124157
MetroStars	0.123483
"Los Angeles Lakers"	0.122746
dodger	0.122681
USC	0.122327
Seminoles	0.122178
Knicks	0.121715
bull	0.121675
cub	0.120941
Longhorn	0.120815
buckeye	0.120325
jet	0.120313
ASTROS	0.119697
maverick	0.119585
"Seattle Seahawks"	0.119477
"Red Sox"	0.119302
"Penn State"	0.119236
"Cincinnati Bengals"	0.118577
brave	0.118196
"Detroit Lions"	0.117886
Mets	0.117096
"Buffalo Bills"	0.116563
"St. Louis Cardinals"	0.115725
diamondback	0.11531
"Mississippi State"	0.114802
"Golden State Warriors"	0.114745
Royals	0.114318
Orioles	0.114292
badger	0.114151
"Baltimore Ravens"	0.113973
Timberwolves	0.113886
Carolina	0.113774
LSU	0.113667
Denver	0.113317
grizzly	0.113212
"Milwaukee Bucks"	0.113183
Sox	0.113038
"Pittsburgh Steelers"	0.112608
Gators	0.112402
"Michigan State"	0.112378
"blue devil"	0.112375
marlin	0.112269
ranger	0.111918
Spartan	0.11111
Raptor	0.110993
pirate	0.110761
mariner	0.110681
Purdue	0.110525
Huskers	0.110041
sixer	0.109855
Pepperdine	0.109438
Dallas	0.109408
Cornhusker	0.109268
hawk	0.108911
"Nittany Lions"	0.108814
"Los Angeles Clippers"	0.108612
Jacksonville	0.108591
"Sacramento Kings"	0.108558
Vols	0.108453
UCLA	0.108256
"Tennessee Titans"	0.108193
"Indiana Pacers"	0.107667
"Notre Dame"	0.107582
Canuck	0.107458
"Dallas Mavericks"	0.107264
Minnesota	0.106956
spur	0.106499
tiger	0.106272
"Boston Celtics"	0.105999
"Charlotte Hornets"	0.10585
"New York Knicks"	0.105845
ASU	0.105809
"Arizona Cardinals"	0.10551
"Ohio State"	0.10543
Hawkeyes	0.105389
TCU	0.105006
"Kansas State"	0.10495
Aggies	0.104761
"Arizona State"	0.104531
Cincinnati	0.104184
"Florida State"	0.104151
Cal	0.103891
Yankee	0.103597
islander	0.103124
terrapin	0.103085
CSUN	0.10286
flyer	0.102643
"Iowa State"	0.10251
Tennessee	0.102448
Wolfpack	0.102396
Clemson	0.102304
Detroit	0.102069
"Cleveland Indians"	0.101931
sabre	0.101776
"Washington Wizards"	0.101706
devil	0.101686
"Los Angeles Dodgers"	0.101376
Blackhawks	0.10133
Buffalo	0.101325
"Jacksonville Jaguars"	0.101255
Canadiens	0.100945
"Chicago Cubs"	0.100834
Oakland	0.100403
"Houston Rockets"	0.100378
"Oklahoma State"	0.100164
Stanford	0.0999542
Rutgers	0.0996111
"devil ray"	0.0993923
"Texas Tech"	0.0990776
"New York Mets"	0.0989424
"Kansas City Royals"	0.0988626
Cleveland	0.0987707
"Philadelphia Flyers"	0.0985229
Miami	0.0984563
"Montreal Canadiens"	0.098376
Nebraska	0.0983496
"Florida Marlins"	0.098281
"Miami Heat"	0.0980319
UConn	0.0974196
BYU	0.0973298
"Crimson Tide"	0.0970752
Minutemen	0.0970702
"Minnesota Twins"	0.097021
"Fighting Irish"	0.0967365
"Trail Blazers"	0.0964003
Baylor	0.0963427
))
(Beasley (desc 2353.88) (sims
Gorton	0.0955972
Eizenstat	0.0932484
Advani	0.0890754
Voinovich	0.0882956
Murrell	0.087963
Hamlin	0.0856275
Hecht	0.0837922
Holloway	0.0827822
"Fob James"	0.082042
Mauro	0.0816047
Vacco	0.0813657
Betts	0.0812259
Wilhelm	0.0806726
Ferraro	0.0806502
Isakson	0.0804136
D'Amato	0.0798456
Nethercutt	0.0788017
Bronfman	0.0787027
Mayweather	0.0769206
Bustamante	0.0769064
Laudrup	0.076314
Kolbe	0.0759243
Wolfson	0.075767
Cortines	0.0756838
Woodard	0.0755421
Hutchinson	0.0755277
Detmer	0.0754774
Stackhouse	0.0754679
Metcalf	0.0754346
Cassell	0.0753039
McDonough	0.0751638
Calloway	0.0749244
Fordice	0.0748937
Molinari	0.0747864
Artest	0.0743441
Atwood	0.0735145
Lowery	0.073498
Schmalensee	0.0733779
Coppola	0.0731453
Baugh	0.0731063
Zacarias	0.073104
Farber	0.0730732
Rossotti	0.0729379
Parrott	0.0728631
Dunleavy	0.0728573
"Rick White"	0.0724089
Grossman	0.0723999
Rudenstine	0.0723376
Kurtz	0.0720142
"administration official"	0.0718266
Kerrey	0.0717541
Hartman	0.0716716
Felton	0.0715288
Sassa	0.0713295
Zolak	0.0712742
Allchin	0.0711707
Najera	0.0711454
Easley	0.0710185
Pappas	0.0710075
Prewitt	0.0708977
Finkel	0.0707878
Malu	0.0707261
Solis	0.0706095
McCurry	0.070568
Wenger	0.0705329
McCabe	0.0705209
Kennard	0.0705145
Mahoney	0.070509
Cornyn	0.0703305
Galvin	0.0702719
Mendez	0.0702395
Troussier	0.0701641
Ceballos	0.0699463
Lindner	0.0699188
Stumpel	0.0698572
Kelleher	0.0697774
Cato	0.0697765
Brownback	0.0695768
Cassidy	0.0694104
Demaci	0.0693097
Kasparov	0.0693054
Ruehe	0.0692528
Owens	0.0691602
Clements	0.0689917
Moonves	0.0689645
Margolis	0.0689489
Audette	0.0689283
Winkler	0.0688681
Schuerholz	0.0687881
McGreevey	0.0687681
Naumann	0.0687555
Goldin	0.0687535
Lindland	0.0687431
Rudman	0.0687193
Dion	0.0685615
Ouattara	0.0685343
Dukakis	0.0683463
Khannouchi	0.06831
Ashcroft	0.0680535
Havelange	0.0679992
Kirby	0.0679597
Gilmore	0.0677363
Bartlett	0.0676774
Geiger	0.0675568
Bakaly	0.0675334
Leavitt	0.0675139
Horne	0.0673692
"Dennis Vacco"	0.0672945
Aleman	0.067275
Akbar	0.0672588
McDonnell	0.0672142
Kennelly	0.0671137
Bullard	0.0669868
Schmitt	0.0669675
Tierney	0.0668855
Colbert	0.0668357
Diller	0.0667818
Kern	0.0666891
Santangelo	0.0666887
Ferguson	0.066661
Mullin	0.0665047
Zarb	0.0665018
Faldo	0.0664028
hodgson	0.0663339
Walesa	0.0662218
Maslyukov	0.0661998
Salas	0.0660057
Kearin	0.0659269
"Jim Gilmore"	0.0657908
Fleischer	0.0657618
Yarnall	0.0655686
Polian	0.0655144
Atler	0.0654837
McDOWELL	0.0653154
Rowland	0.0652898
Summitt	0.0651833
Gramm	0.0650479
Armey	0.0650197
Giordano	0.0648835
LeClair	0.0648715
Smyth	0.0648677
Tharp	0.0648569
Newell	0.0647645
Skiles	0.0647585
Nadler	0.0647317
Feinstein	0.0645421
Klima	0.064503
Paus	0.0644705
Hayden	0.0644665
Condon	0.0644547
Padilla	0.0644351
Butterfield	0.0643769
McKinnon	0.0643632
Ellsworth	0.0642372
Donohue	0.0642362
Charest	0.0642352
Quigley	0.0641723
Fong	0.0641417
Harkes	0.0641378
Fizer	0.0641087
Carr	0.0640959
Balaguer	0.0640561
Beazley	0.0639348
Howe	0.0638957
Chafee	0.0638506
Winn	0.063848
Schmidt	0.0638314
Florio	0.0637876
"Lauch Faircloth"	0.0637826
Jarvis	0.0635687
Sasser	0.0635535
Roberson	0.063551
Canady	0.0635333
McGrady	0.0635026
McCaffrey	0.0634519
Halloran	0.0634477
Moreno	0.0633861
Pennington	0.0630564
Leetch	0.0630221
Asprilla	0.0630068
Parris	0.062987
"Paul Cellucci"	0.0629835
Nateq-Nouri	0.0629275
Brack	0.0627824
Greenspan	0.0627823
Baerga	0.062639
Hagel	0.0625864
"William Weld"	0.0625689
Houghton	0.0625344
Ono	0.0623832
Taft	0.0622634
Seltzer	0.062155
Halberstam	0.0621064
Vick	0.0620938
Beilin	0.0620861
Nickles	0.0620176
McLaughlin	0.0617907
Osborne	0.0617646
Strauss-Kahn	0.0617462
Kyl	0.0616564
))
(beast (desc 25133) (sims
creature	0.122753
animal	0.100992
bird	0.0837087
reptile	0.0827468
snake	0.0822221
mammal	0.0820804
critters	0.0816604
Dinosaur	0.0810555
monster	0.0803986
elephant	0.0794462
crocodile	0.0756689
deer	0.0723043
insect	0.0722424
monkey	0.0708596
amphibian	0.0692185
tiger	0.068247
lion	0.0681875
CAT	0.0681056
dog	0.0667931
wolf	0.0658182
lizard	0.0634307
dragon	0.0630907
fish	0.063007
ape	0.0627016
whale	0.0625929
horse	0.0625048
predator	0.0612481
rodent	0.0609981
"sea turtle"	0.0606585
spider	0.0603081
Primate	0.0597953
gorilla	0.0590475
alligator	0.0589605
turtle	0.0575687
pig	0.0555836
shark	0.0555251
rabbit	0.0548166
wildlife	0.0547723
behemoth	0.0544083
serpent	0.0540071
frog	0.0533719
"Lion King"	0.0532966
pet	0.0530974
ant	0.0529381
specie	0.0524181
lemur	0.0521393
demon	0.0519024
ghost	0.0509642
rhinoceros	0.050888
sheep	0.0508171
cow	0.0505264
rat	0.0504975
object	0.0495241
"giant panda"	0.0494315
dragonfly	0.0494163
bull	0.0490154
alien	0.0486562
dolphin	0.0485836
Crane	0.0481881
beings	0.0478001
"black bear"	0.0477641
parrot	0.0476041
virus	0.0474389
beauty	0.0472785
robber	0.0472682
hybrid	0.0464652
Neanderthal	0.0462376
squirrel	0.0461364
crustacean	0.0460258
machine	0.0460031
owl	0.0459221
butterfly	0.045817
rhino	0.0452489
panda	0.0452223
Robot	0.0450297
worm	0.044989
rattlesnake	0.0449778
organism	0.0448591
Killer	0.0444785
donkey	0.0444082
microorganism	0.0441411
"human being"	0.0439737
bug	0.0438995
pest	0.0438288
mosquito	0.0436802
orangutan	0.0435972
duck	0.0435802
thief	0.0434711
goat	0.0433973
contraption	0.0433309
baboon	0.0431057
fauna	0.0428048
kangaroo	0.0427146
elk	0.0425735
warrior	0.0424052
Buffaloes	0.0423817
spectacle	0.0423791
microbe	0.0421371
brute	0.0420971
eagle	0.0420756
twister	0.0420329
herd	0.0420127
mice	0.0417032
beetle	0.0416976
salamander	0.0416589
geese	0.0415683
murderer	0.0415473
giraffe	0.041407
bandit	0.0412778
puncher	0.0412675
iceberg	0.041256
iguana	0.0411391
"young woman"	0.0407941
criminal	0.0407209
"bad guy"	0.0406687
villain	0.0406338
toad	0.04062
moose	0.0405197
"old woman"	0.0404843
leopard	0.0404546
thug	0.0401971
swan	0.0401805
camel	0.0401321
flame	0.0400598
icon	0.0400426
))
("Beastie Boys" (desc 3043.53) (sims
"Puff Daddy"	0.128554
"Public Enemy"	0.120986
"Limp Bizkit"	0.116089
U@	0.113299
Metallica	0.113143
Korn	0.109395
"Janet Jackson"	0.100338
"Celine Dion"	0.0994189
"Whitney Houston"	0.0944043
Eminem	0.0941737
"Smashing Pumpkins"	0.0931341
"Dave Matthews Band"	0.0919028
Dre	0.0915275
R.E.M	0.0894584
Aerosmith	0.0885554
"Pink Floyd"	0.0885434
"Pearl Jam"	0.0868026
"Spice Girls"	0.0858986
"Sheryl Crow"	0.0846275
"Kid Rock"	0.0843095
"Alanis Morissette"	0.0808616
"Britney Spears"	0.0786037
"Sex Pistols"	0.0781056
"Mariah Carey"	0.0779061
"Beach Boys"	0.075552
"David Bowie"	0.0741081
"Wyclef Jean"	0.0734785
Zydeco	0.0727907
"Elton John"	0.0725185
"Elvis Costello"	0.0719281
Jay-Z	0.0719217
Bjork	0.0718198
"Sarah McLachlan"	0.0718068
"Black Sabbath"	0.0715735
"Will Smith"	0.0711999
Madonna	0.0697603
"Toni Braxton"	0.0697291
TLC	0.0695175
"Jimi Hendrix"	0.0664208
"Marilyn Manson"	0.0662793
"Dixie Chicks"	0.0654243
DMX	0.0652615
"Lauryn Hill"	0.0645237
hardcore	0.064096
"Rolling Stones"	0.064031
"Phil Collins"	0.0634157
"R. Kelly"	0.0630084
AC/DC	0.0627314
"Ricky Martin"	0.0625165
mariachi	0.0624888
Eurythmics	0.0624048
Phish	0.0622715
"Eric Clapton"	0.0622591
"Busta Rhymes"	0.0618995
"Shania Twain"	0.0616207
"Queen Latifah"	0.0603589
Beatles	0.0603559
"Tom Waits"	0.060282
"Bruce Springsteen"	0.0600624
J	0.0597167
"Bob Dylan"	0.0593406
"Snoop Dogg"	0.0588214
klezmer	0.0580759
Marley	0.0579354
"Backstreet Boys"	0.0573629
Streisand	0.05676
"R&AMP;B"	0.0559183
nirvana	0.0558038
"Michael Jackson"	0.054967
"Neil Young"	0.0546997
"Steely Dan"	0.0538415
Springsteen	0.0537441
"Red Hot Chili Peppers"	0.053695
"Burt Bacharach"	0.0529535
REM	0.0523463
"Billy Joel"	0.0520111
"Patti Smith"	0.0514779
Reggae	0.0501346
wallflower	0.050128
polka	0.0499843
calypso	0.0497109
"Van Halen"	0.0494615
Mulholland	0.0492628
"Elvis Presley"	0.048811
bagpipe	0.0486122
Elvis	0.0483709
Vandal	0.0482778
bluegrass	0.048042
Manson	0.0478539
"Joni Mitchell"	0.0469233
Beck	0.0466348
Bowie	0.0465998
"Foxy Brown"	0.0465792
"Jimmy Buffett"	0.0465367
"Mary J. Blige"	0.0464653
eight-minute	0.0463191
EMI	0.0460507
"Woody Guthrie"	0.0459556
Pooh	0.045756
"Tupac Shakur"	0.045508
"James Brown"	0.0452343
"Grateful Dead"	0.0448487
ATI	0.0448188
"Courtney Love"	0.04469
Selena	0.0443929
"Frank Sinatra"	0.0443485
Arista	0.0442658
Gaines	0.0436764
"Tracy Chapman"	0.0434272
"Goldie Hawn"	0.043297
"high fidelity"	0.043155
"Randy Newman"	0.0430334
"Willie Nelson"	0.0428059
Spenser	0.0427534
Gilead	0.0426931
"N Sync"	0.0425149
Sinatra	0.0425052
Santana	0.0424242
"Julia Roberts"	0.0422831
"Benny Goodman"	0.0420855
karaoke	0.0420712
RealPlayer	0.0418098
whomever	0.0417079
"Paul Simon"	0.0416775
Cher	0.0415686
"Gene Hackman"	0.0415403
"Lyle Lovett"	0.0415148
"Bonnie Raitt"	0.0414425
"George Gershwin"	0.0405021
"Diana Ross"	0.0403936
"Lilith Fair"	0.0402567
"Kurt Cobain"	0.0402077
))
(beat (desc 55690.5) (sims
bt	0.163588
V	0.162536
rhythm	0.109273
seed	0.0925995
sound	0.0769293
champion	0.0764621
music	0.0749549
tune	0.0740321
groove	0.0727856
compatriot	0.0707462
melody	0.067285
lyric	0.0630398
Song	0.0614377
percussion	0.0614025
qualifier	0.0605233
riff	0.0591245
guitar	0.0586132
outshot	0.0585726
goalie	0.0585402
pounding	0.0564098
runner-up	0.0556861
pop	0.0554394
vocals	0.0551154
countryman	0.0549763
finalist	0.054474
"number one"	0.0543702
drum	0.0540549
accompaniment	0.0533753
soundtrack	0.0525767
three-time	0.0516381
playing	0.0512401
goaltender	0.0508844
titlist	0.0506312
runners-up	0.0481679
"dance music"	0.0477098
style	0.0475112
voice	0.0472245
dance	0.0471006
hip-hop	0.0470586
doe	0.0468426
"tennis player"	0.046778
Jazz	0.046116
Bass	0.0458459
chord	0.0444967
noise	0.044126
winner	0.0439807
facing	0.0431751
No.	0.0427246
"rock 'n' roll"	0.0424059
chant	0.0422897
powerhouse	0.0419853
shot	0.0417318
pulse	0.0417053
band	0.0416279
semifinalist	0.0405758
ballad	0.0403661
champ	0.0403038
))
(beater (desc 3391.48) (sims
"electric mixer"	0.11115
"measuring cup"	0.0962587
mugger	0.086722
Rapist	0.079763
grater	0.0781506
mixer	0.0778451
grinder	0.072139
burglar	0.0709171
masher	0.070803
"child molester"	0.0707062
stapler	0.0668446
"Azizah Ismail"	0.0644258
abuser	0.063562
panhandler	0.0622174
Pusher	0.0616396
chopstick	0.0607074
ogre	0.0606558
"food processor"	0.0603499
felon	0.0581173
"air filter"	0.0579045
loader	0.0574981
perjurer	0.0561272
doormen	0.0559915
"grocery bag"	0.0558426
arsonist	0.0552987
sander	0.0551618
dryer	0.0544612
"space heater"	0.0540248
"drug dealer"	0.0537255
stethoscope	0.0535999
trowel	0.0532913
spreader	0.0524258
earpiece	0.0522734
analyzer	0.0520656
trimmer	0.0511926
spatula	0.0505792
robber	0.0502114
"vacuum cleaner"	0.0499213
turntable	0.0499128
sacs	0.049322
blender	0.0489334
lawbreaker	0.0488772
stalker	0.0485792
"electrical device"	0.0481382
scalpel	0.0477848
hyphen	0.0474331
"first pitcher"	0.0473956
sparkler	0.0470344
"battering ram"	0.0469216
pickpocket	0.0462015
Cherie	0.045956
bloomer	0.0456777
Tram	0.0454541
"alarm clock"	0.0452535
tiller	0.0452215
looper	0.0451692
"rolling pin"	0.0449863
mower	0.0449435
grout	0.0446813
"white knight"	0.0446645
kettle	0.0445798
battler	0.0443176
careerist	0.0439186
electrode	0.0439148
ex-convict	0.043775
"layer cake"	0.0436579
"hypodermic needle"	0.0435923
custard	0.0434132
Hoe	0.043378
"pocket watch"	0.0433156
timer	0.0428041
tuba	0.0425996
TORTURER	0.0423682
shredder	0.0421252
"can opener"	0.0419792
"draft dodger"	0.0419763
wrongdoer	0.0419665
pimp	0.0416251
barbell	0.0414568
"power tool"	0.0414456
eraser	0.0412519
pliers	0.0407719
pitchfork	0.0407081
two-by-four	0.0406433
beautician	0.0405449
chalkboard	0.0405011
sundial	0.040487
"volleyball player"	0.0404813
"sheet of paper"	0.040151
clothesline	0.0400958
"electric current"	0.0400109
))
(Beathard (desc 1429.29) (sims
Zambrano	0.139003
Moeller	0.126488
Echegaray	0.125807
Moog	0.125346
Hofer	0.115042
Azinger	0.111984
Milbury	0.111603
Berenson	0.108315
Bakaly	0.108108
Reimer	0.107395
Julich	0.104166
Abernathy	0.103601
Mease	0.103566
Bierhoff	0.101993
Pagones	0.0991217
Holik	0.0986369
Rongen	0.0965325
McGinn	0.0949136
Jelisic	0.0942492
"Russell Peeler"	0.0924759
Wendt	0.0918784
Livoti	0.0909123
Neulander	0.0907877
COUSINS	0.0903821
Flanagan	0.0903007
Khalil	0.0898324
Faulder	0.0876234
Coia	0.0874403
Tomey	0.0865335
Polian	0.0865157
Rahal	0.0861976
LeFave	0.0854108
Siripongs	0.084822
Zamora	0.0847792
Kupchak	0.0845728
Huggins	0.0832973
Ruggiero	0.083054
Bergeron	0.0827002
Ftorek	0.0824211
Gullikson	0.0822868
Romar	0.082005
Markhasev	0.0819511
Keenan	0.0817326
Bustamante	0.0811869
Layden	0.08047
Calipari	0.0804154
Wenger	0.0803926
Baucus	0.0800633
Coe	0.079973
Ganassi	0.0789745
Verney	0.0788687
"Tommy Bowden"	0.0788119
Tarver	0.078795
Beckwith	0.0786612
Echols	0.07846
Donahue	0.0776752
Kearin	0.0776739
Donnan	0.0770454
Fortier	0.0766209
Trantino	0.0765924
Akayesu	0.0765277
Joklik	0.076484
Stoneman	0.076327
Casserly	0.0762097
Passarella	0.0761294
Noriega	0.0761232
"Zubin Mehta"	0.0760663
Verniero	0.0757202
Zabel	0.0754181
Schoenfeld	0.0753519
Sato	0.0751275
Priebke	0.0750631
Schottenheimer	0.0750607
Mikhailov	0.0750411
Aventajado	0.0748939
Garcetti	0.0748932
Papon	0.073894
Winkler	0.0736648
Robison	0.0734622
Cremins	0.0734047
Weisman	0.0734036
Devine	0.0731561
Colangelo	0.0731532
Copeland	0.0730168
Meissner	0.0730032
Kasoulides	0.0729484
Grier	0.0726325
Rothenberg	0.0724107
Byrne	0.0720176
Difrancesco	0.0714693
Vogts	0.0710825
Capano	0.0710319
hodgson	0.0709835
Schmid	0.0709665
Haney	0.0709293
Monson	0.0707047
Harris-Lewis	0.0706569
Sanderson	0.0706044
Grossberg	0.0706034
Kimeses	0.070567
Garza	0.0704345
Cheung	0.0701345
Lombardi	0.0700686
Nikitin	0.0695969
Tuberville	0.0695722
Beazley	0.0694826
Knapp	0.0694613
Hensley	0.0693715
"June Jones"	0.0691126
Babcock	0.0690005
Condit	0.068985
Hyman	0.0689711
Grunwald	0.0688555
Blackthorne	0.0688484
Tanaka	0.0688148
Ivester	0.0687934
Advani	0.0685805
Bonilla	0.0684644
GRUNFELD	0.0684607
Harmoko	0.0683932
Whitsitt	0.0682795
Bettman	0.0680007
"Louise Woodward"	0.067907
Schuerholz	0.0678646
Kodikian	0.0677476
Espinoza	0.0676933
Maldini	0.0676896
Contreras	0.0676201
Troussier	0.0675085
Carollo	0.0674758
McDuff	0.067357
Izzo	0.067261
Bubb	0.0672591
"Don Nelson"	0.0671143
Agca	0.0670298
Okada	0.0669901
Lambright	0.0669049
Rossotti	0.0669022
Gainey	0.0668909
Goossen	0.0667661
Eskew	0.0667391
Doggett	0.0665682
Swango	0.0665387
Haskins	0.0665236
Gutman	0.0664453
Sacco	0.0664038
Bowden	0.0662874
Ruehe	0.0662382
Rylander	0.0661543
Hirst	0.0659846
Sebaggala	0.0658196
McCormick	0.0658119
Alarcon	0.0656899
"Maturino Resendiz"	0.0656751
Chambliss	0.0656559
ISSEL	0.0656044
Elhage	0.0655733
Arrojo	0.0655009
Schwarz	0.0654928
Hirschbeck	0.0654686
Siazon	0.0653665
Sherrill	0.0652839
GAGE	0.0651303
Popovich	0.0650514
Choate	0.0650372
Lockyer	0.0648179
Zadornov	0.0647375
Lamont	0.0646528
Spence	0.0646304
McKenna	0.0645315
Alderson	0.0645179
Finkel	0.0644892
Hamid	0.0642997
Bonner	0.0642957
Insulza	0.0641425
Piot	0.0638856
Bjorn	0.0637209
Feuer	0.0636869
Kyl	0.0635474
Zucker	0.0634482
Symington	0.0632907
Jewell	0.0632636
Braswell	0.0632586
Brock	0.0632229
Marinovich	0.063201
Jacquet	0.0630761
Lim	0.0628457
"La Russa"	0.0628056
Cui	0.062797
Whitacre	0.0626146
Spector	0.0625916
Vermeil	0.0625414
McVeigh	0.0624794
Heche	0.0623644
Dunlap	0.062293
Showalter	0.062108
Hybl	0.0620797
Upton	0.0620756
Sasser	0.0620269
McKinney	0.0619225
))
(beatification (desc 3543.79) (sims
canonization	0.192616
sainthood	0.0915244
swearing-in	0.0848143
induction	0.0819785
unveiling	0.0779881
"World Environment Day"	0.0731263
reopening	0.0723516
intercession	0.0687515
coronation	0.0674743
sentencing	0.0673771
"Earth Day"	0.0670296
"Holy Year"	0.0648167
incineration	0.0618028
"International AIDS Conference"	0.0615725
infallibility	0.0608386
"NAPA @@@"	0.0608326
ratification	0.0572023
inauguration	0.0569842
balloting	0.0569265
exhumation	0.0565578
solstice	0.0565122
"Veterans Day"	0.0558952
"day of reckoning"	0.0556509
ordination	0.0555836
launching	0.0552788
initiation	0.0551728
rededication	0.0551139
"feast day"	0.0550364
encyclical	0.0547536
homecoming	0.0545744
handover	0.0544646
nuptials	0.0539211
"employment report"	0.0529029
naming	0.0521132
"Pepsi @@@"	0.0520533
commemoration	0.0518961
liquidation	0.0516384
"Grand National"	0.0513197
accession	0.0510342
nullification	0.0504898
declassification	0.0504761
reinstatement	0.0501186
deportation	0.0500279
divestiture	0.0500226
reformation	0.0499656
naturalization	0.0497761
demolition	0.0497694
docking	0.0493762
repatriation	0.0493031
temblor	0.0492277
"rate increase"	0.0491682
polling	0.0488493
"Tony Awards"	0.0487614
photosynthesis	0.0486552
convocation	0.0485895
liftoff	0.0475728
disinvestment	0.0475137
cremation	0.047413
commissioning	0.047275
legalization	0.0470957
nationalization	0.0467864
rollout	0.0467183
reapportionment	0.0466644
eviction	0.0466559
clemency	0.0466493
"World AIDS Day"	0.0466225
downgrading	0.0462053
extradition	0.0461857
"court martial"	0.0461177
"Chinese Lunar New Year"	0.0461075
"work stoppage"	0.0459966
prologue	0.0458886
"Millennium Summit"	0.0457919
"Ethiopian Herald"	0.0457478
"budget debate"	0.0455669
abdication	0.0453933
"prayer service"	0.0453092
dollarization	0.0452674
lifting	0.0443818
issuance	0.0442738
pullout	0.0438758
"French Grand Prix"	0.0433127
"International Day"	0.0429941
demilitarization	0.0429828
"starting time"	0.0429732
"Lunar New Year"	0.0428061
arraignment	0.0427614
redefinition	0.0427205
Israeli-Palestinian	0.0427143
roadshow	0.04263
retrenchment	0.0424136
"Special Session"	0.0424134
"Beijing Youth Daily"	0.0423036
jubilee	0.0423025
convening	0.0422881
rainout	0.0421614
closings	0.0419993
changeover	0.0419482
normalization	0.0418663
statehood	0.0418437
"management change"	0.0415412
pullback	0.0414337
"Emmy Awards"	0.0413344
enlargement	0.0413198
"Chinese New Year"	0.0412
"Alam Al Yom"	0.0411113
enshrinement	0.0410685
"cup tie"	0.0407432
abolition	0.0406852
Demutualization	0.0404073
"National Day"	0.0402907
"National Missile Defense"	0.0402842
"START II"	0.0402718
"Brickyard @@@"	0.0402135
spacewalk	0.0400897
recapitalization	0.0400109
))
(beating (desc 44277.8) (sims
torture	0.193252
rape	0.176309
killing	0.175655
kidnapping	0.168285
slaying	0.162465
abduction	0.162337
harassment	0.156277
murder	0.151786
mistreatment	0.149218
abuse	0.14532
shooting	0.144926
assault	0.14042
"sexual assault"	0.134626
robbery	0.132165
massacre	0.132115
looting	0.125556
assassination	0.11993
arson	0.118441
atrocity	0.116976
Death	0.116895
attack	0.116607
arrest	0.115924
bombing	0.113136
violence	0.112188
intimidation	0.111914
brutality	0.111744
extortion	0.110734
theft	0.108011
Execution	0.10736
persecution	0.106971
stabbings	0.105889
incident	0.104311
disappearance	0.103176
detention	0.103112
hijacking	0.102461
burglary	0.101646
maltreatment	0.0998384
accident	0.0993342
vandalism	0.0990749
riot	0.0975701
crime	0.0964858
mutilation	0.0964744
"armed robbery"	0.0964506
homicide	0.0954082
humiliation	0.094489
misconduct	0.0941199
genocide	0.0929168
break-in	0.0927366
expulsion	0.0919578
deportation	0.0909943
molestation	0.0908869
rioting	0.0905726
slaughter	0.0888669
seizure	0.0877272
raid	0.0864442
crash	0.0860404
shelling	0.0857507
hostage-taking	0.0853681
bribery	0.0853369
suffering	0.0851634
"child abuse"	0.0850265
lynching	0.0837891
whipping	0.0837262
"sexual harassment"	0.0836585
battering	0.0835676
explosion	0.0822631
destruction	0.081985
violation	0.0817106
imprisonment	0.0814854
"mass murder"	0.0814338
interrogation	0.080935
firing	0.0807272
poisoning	0.080398
conspiracy	0.0801708
burnings	0.0798772
repression	0.0798158
terror	0.0796291
tragedy	0.078628
fraud	0.0784404
discrimination	0.0775866
pounding	0.0775322
"war crime"	0.0773744
suicide	0.0771143
starvation	0.0765247
act	0.0753944
wrongdoing	0.0752319
ambush	0.0750859
trauma	0.0747454
scandal	0.0742983
embezzlement	0.0738021
invasion	0.0728576
cleansing	0.0725199
injury	0.0723849
disaster	0.0723701
illness	0.0719233
"bomb blast"	0.0717702
corruption	0.0716666
aggression	0.0711409
sodomy	0.0710708
drubbing	0.0708102
"drive-by shooting"	0.0707163
failure	0.0706416
blast	0.0705674
hardship	0.0704339
disturbance	0.0703817
misuse	0.0703416
neglect	0.0702044
spill	0.0700825
Collision	0.069948
crackdown	0.0697008
mugging	0.0694719
mayhem	0.0693335
bloodshed	0.0690113
behavior	0.0689282
clash	0.0686925
cruelty	0.0685641
coup	0.0682746
carnage	0.0680128
oppression	0.067929
punishment	0.0677893
brawl	0.0675099
spree	0.0674185
negligence	0.0673038
terrorism	0.0672136
purge	0.0671992
defeat	0.0671386
coercion	0.0671341
manslaughter	0.066912
unrest	0.0666334
loss	0.0664739
irregularity	0.0660817
espionage	0.0658659
rampage	0.0656354
deprivation	0.0652076
overdose	0.0649045
fighting	0.0647818
"corruption scandal"	0.0645287
collapse	0.0643434
altercation	0.0639341
harm	0.0636471
sabotage	0.0634285
leak	0.0631156
smuggling	0.0630426
"coup attempt"	0.0628531
threat	0.062837
mutiny	0.0628153
catastrophe	0.0627502
action	0.0626188
ordeal	0.0623225
debacle	0.0622888
damage	0.0618976
treatment	0.0615556
trafficking	0.0614689
"drug trafficking"	0.0614219
wreck	0.0612299
mistake	0.0609676
Dismissal	0.0605785
demonstration	0.0605693
tampering	0.0604041
incest	0.0603649
cover-up	0.0601316
devastation	0.0600089
forgery	0.0599646
misdeed	0.0596737
outbreak	0.0593387
holdup	0.0590729
spying	0.0590617
disruption	0.058713
racism	0.0585941
questioning	0.0584614
lapse	0.0583609
trial	0.0582054
encounter	0.0582027
mismanagement	0.0581628
jailing	0.0580898
wound	0.0580456
blackmail	0.0579498
allegation	0.0578806
earthquake	0.0578444
blunder	0.0577553
embarrassment	0.0576839
prosecution	0.0576228
mishap	0.0575236
amputation	0.0574088
breach	0.0572216
outburst	0.0571152
calamity	0.057078
provocation	0.057033
setback	0.0569938
uprising	0.0568822
bombardment	0.0566778
confession	0.0566252
breakdown	0.0565746
perjury	0.0565735
scare	0.0565599
bout	0.0564456
injustice	0.0561309
dismemberment	0.056029
displacement	0.0559429
"drug use"	0.0559249
))
(Beatle (desc 1852.58) (sims
"Black Panther"	0.0852911
Mellencamp	0.0764785
Kenyon	0.0747738
shag	0.0736654
"Farrah Fawcett"	0.0720079
Afro	0.0697054
Beatles	0.0681306
"big leaguer"	0.0675563
"John Lennon"	0.0673601
"Boutros Boutros Ghali"	0.0654046
Centerfold	0.064967
pixie	0.0636232
"Mark Tuinei"	0.0633713
Gorey	0.0621724
"radio announcer"	0.0619197
"Noboru Takeshita"	0.0616753
Grasso	0.0612822
"Al Joyner"	0.0611917
"Secretary of Commerce"	0.0611811
"James McDougal"	0.0609512
Yogi	0.0606943
Heaney	0.0604431
PFC	0.0602503
"house guest"	0.0599826
"altar boy"	0.0594932
Hiddink	0.0586128
Beehive	0.0583292
Osmond	0.0580416
Onassis	0.0575096
cellmate	0.0563732
"Rajiv Gandhi"	0.0563385
"La Russa"	0.0560613
Selena	0.0559276
"Sarah Ferguson"	0.0558302
Julian	0.0556422
"little leaguer"	0.055394
hermit	0.0549751
"exotic dancer"	0.054358
"volleyball player"	0.0542955
ghostwriter	0.0542312
bassist	0.0536836
audubon	0.0536405
Baugh	0.0536388
bodybuilder	0.0531316
Judas	0.0530296
Houdini	0.0529368
Barad	0.0526462
Lennon	0.0524577
Hendrix	0.0520647
burr	0.0517966
"Joe DiMaggio"	0.0517615
Baum	0.0512415
Cynthia	0.0511201
Rowan	0.0510724
Sarazen	0.051068
Hahn	0.050812
Panchen	0.0507657
miler	0.0506028
"police sergeant"	0.050554
"hockey coach"	0.0504864
Sargent	0.0504803
Blackwell	0.0504108
freebie	0.0503045
Laudor	0.0501015
kayaker	0.050043
"Joint Liaison Group"	0.049433
Morse	0.049342
Silverstein	0.0492621
Burroughs	0.0492455
Zico	0.0492452
Harbison	0.0486235
"Pro Bowler"	0.0486188
"NBA All-Star"	0.048497
serviceman	0.0482807
Isringhausen	0.0482186
"Rhodes Scholar"	0.0482032
councilwoman	0.0481564
Spenser	0.048021
stuntman	0.0480072
"important person"	0.0477272
Astro	0.0477047
"eye doctor"	0.0474421
BRITNEY	0.0473736
Kyprianou	0.0473204
Rabe	0.0472715
"Ramsey Clark"	0.0471616
"Gianni Versace"	0.0470599
"Bob Bullock"	0.0470494
"air force officer"	0.0469055
"B&AMP;B"	0.046881
hippy	0.0468331
oilman	0.0463939
lumberjack	0.046352
"Kiichi Miyazawa"	0.0462931
Ikimi	0.0462092
Stroganoff	0.0460899
Supremes	0.0460645
Meredith	0.0459991
ringmaster	0.0459889
legionnaire	0.0459726
Clapton	0.0459527
Blazevic	0.0458287
"Lee Hamilton"	0.045819
Regan	0.0458032
potter	0.0457835
"Sam Nunn"	0.0457008
"John Shalikashvili"	0.0456974
"test pilot"	0.0456903
"science teacher"	0.0453927
"press agent"	0.0453667
DIMON	0.045338
Halloran	0.0452982
"Yogi Berra"	0.0452275
infantryman	0.0451724
"Paul Tsongas"	0.044874
Seuss	0.0448581
doer	0.0448473
Pryor	0.0448052
Aggie	0.0447627
"farm boy"	0.044722
"P.T Barnum"	0.0446965
Chouinard	0.0446253
weatherman	0.0445223
Kusama	0.0445158
techie	0.0444815
"solicitor general"	0.0444518
Ciampi	0.044425
Azad	0.0443838
co-president	0.044358
monarchist	0.0442805
Grisham	0.0442689
"Doak Walker"	0.044174
"John Connally"	0.0440941
Beazley	0.0440465
"Texas longhorn"	0.0440322
McCartney	0.0439654
Connell	0.043961
corporal	0.0439121
Snitch	0.0438657
snakeskin	0.0437953
"Blair Witch"	0.0437654
Springsteen	0.0437287
housemate	0.0436242
fifth-grader	0.043613
Farah	0.0435959
"track star"	0.0435784
Tuinei	0.0434999
"Howard Baker"	0.0434596
Atlantan	0.043448
Ochoa	0.0434377
"Emanuel Steward"	0.0433244
"business editor"	0.0432664
Englishwoman	0.0432326
Oriole	0.0431361
"Paul Keating"	0.0430799
paraplegic	0.0429981
Pele	0.0429909
"Lawton Chiles"	0.0429906
"cabinet member"	0.042865
"Elvis Presley"	0.0427716
Dion	0.0426976
"Lawrence Taylor"	0.042647
al-Sahaf	0.0425373
Ernest	0.0425195
Burleigh	0.042519
"Lee Atwater"	0.0424923
"Secretary General Esmat Abdul-Meguid"	0.042403
"John Anderson"	0.0423739
"Cindy McCain"	0.0423355
nunnery	0.0423127
"aerospace engineer"	0.0422426
Rea	0.0422141
father-in-law	0.0422068
"Paul McCartney"	0.0421804
scoutmaster	0.0421109
"Deep Throat"	0.0421079
"math teacher"	0.0420967
brother-in-law	0.0420331
"game warden"	0.0420004
"Michael Portillo"	0.0419529
pro-choice	0.0419415
Lyman	0.0419301
"department employee"	0.0419232
"church member"	0.0419036
"naval officer"	0.0418844
Buffett	0.0418412
assemblyman	0.0417415
"drug czar"	0.0417182
"mountain climber"	0.0416545
Laudrup	0.0415337
Mortimer	0.0415062
deliveryman	0.0414991
Nickerson	0.0413615
Wolfson	0.0412983
CAMILLA	0.0412983
"Robert E. Rubin"	0.0412767
Shurmur	0.0412
"school superintendent"	0.0411793
ex-girlfriend	0.0411728
"good person"	0.0411471
))
(Beatles (desc 17794.3) (sims
"Bob Dylan"	0.159957
"Rolling Stones"	0.142946
"Pink Floyd"	0.139106
"Beach Boys"	0.13016
"Led Zeppelin"	0.127781
"Neil Young"	0.126995
"Elvis Presley"	0.12427
"Bruce Springsteen"	0.121171
Springsteen	0.119017
"Jimi Hendrix"	0.114478
Elvis	0.114461
"Frank Sinatra"	0.112647
Supremes	0.106766
"Grateful Dead"	0.104764
"Eric Clapton"	0.102636
"Spice Girls"	0.101972
Hendrix	0.0979379
"John Lennon"	0.0978443
Aerosmith	0.0965196
"Hank Williams"	0.0955184
"Elton John"	0.0954266
Madonna	0.094405
"Bob Marley"	0.0931494
Dylan	0.089871
Phish	0.0888317
Sinatra	0.0860365
"Stevie Wonder"	0.0858595
"Van Halen"	0.0856883
"Billie Holiday"	0.0856387
"Pearl Jam"	0.0841752
R.E.M	0.0839156
"Joni Mitchell"	0.0834493
U@	0.0833951
Gershwin	0.0823995
rhythm-and-blues	0.0822745
Cher	0.0800566
"Little Richard"	0.0797119
Motown	0.0795646
"Joan Baez"	0.0794559
Presley	0.0792457
"Tom Petty"	0.0792203
"Celine Dion"	0.0784011
"Woody Guthrie"	0.0776415
"Barbra Streisand"	0.0772708
"Paul McCartney"	0.0771563
"James Brown"	0.0762017
Metallica	0.0759577
"country music"	0.0756977
"Marvin Gaye"	0.0746618
"Marilyn Monroe"	0.0745786
"R&AMP;B"	0.074296
Jazz	0.0740389
"Michael Jackson"	0.0739088
"rock 'n' roll"	0.0733662
band	0.073014
"Fleetwood Mac"	0.072983
"Sex Pistols"	0.0729247
"Janis Joplin"	0.0720881
Lennon	0.0720264
"N Sync"	0.0720262
"James Dean"	0.0720055
"Paul Simon"	0.07159
"Aretha Franklin"	0.0713992
Byrds	0.0707945
Blondie	0.0706166
rap	0.0698506
"Ray Charles"	0.069835
"Ricky Martin"	0.0681946
Beatle	0.0681306
"Patsy Cline"	0.0670712
"Jimmy Buffett"	0.0661745
"Whitney Houston"	0.0657471
Guthrie	0.0655941
"Chuck Berry"	0.0652484
"Duke Ellington"	0.0649347
Ellington	0.0649169
"classical music"	0.0647965
"David Bowie"	0.0645706
klezmer	0.0640512
"Johnny Cash"	0.0633928
"Bonnie Raitt"	0.063191
McCartney	0.0631756
"Buddy Holly"	0.063118
Reggae	0.0630231
Selena	0.0626758
"Miles Davis"	0.0626515
musician	0.0623629
Chorale	0.0622808
Santana	0.0612226
"Tina Turner"	0.0610401
"Cole Porter"	0.060746
"Beastie Boys"	0.0603559
calypso	0.060265
bluegrass	0.0601456
"Phil Collins"	0.0599041
"big band"	0.0596663
"Smashing Pumpkins"	0.0595396
"Limp Bizkit"	0.0594745
"Britney Spears"	0.0594635
Joplin	0.0591932
Zydeco	0.0591581
"Diana Ross"	0.0591065
lassie	0.0590691
"Buster Keaton"	0.0590608
"Mick Jagger"	0.0590569
"B.B King"	0.0590166
bebop	0.0589492
"Garth Brooks"	0.0587031
zeppelin	0.0585308
"John Wayne"	0.058247
Hanson	0.0580483
choir	0.0577143
"Charlie Parker"	0.057577
Bach	0.0575439
"Janet Jackson"	0.0573987
"Mickey mouse"	0.0568787
nirvana	0.056464
"Billy Joel"	0.0563357
gospel	0.0562695
"Leonardo DiCaprio"	0.0560964
oldies	0.0558384
"Ella Fitzgerald"	0.0556211
"Backstreet Boys"	0.0555796
"folk music"	0.0546942
"rock band"	0.0543505
"Judy Garland"	0.0541959
"popular music"	0.0538375
hip-hop	0.0538283
"BUENA VISTA SOCIAL CLUB"	0.053571
Marley	0.0531882
"Woody Allen"	0.0529773
blue	0.0528873
"Willie Nelson"	0.0528746
"Elizabeth Taylor"	0.0528258
Korn	0.0522338
"James Taylor"	0.0521948
"Louis Armstrong"	0.0521292
singer	0.0521179
Beck	0.0520544
Mozart	0.0519511
Kennedys	0.0517409
Kubrick	0.0516733
"Star Wars"	0.0512318
"pop music"	0.0511744
"Steve McQueen"	0.0511337
Eminem	0.0511308
"South Park"	0.0509498
opera	0.0509402
Streisand	0.0508735
Dion	0.0507261
album	0.0507061
Garth	0.0506459
"Dixie Chicks"	0.0502681
"Public Enemy"	0.0502458
"Dolly Parton"	0.0499821
"Marilyn Manson"	0.049938
"George Jones"	0.0499
"Bing Crosby"	0.0497031
"Sheryl Crow"	0.0494367
"Albert Brooks"	0.04936
Beethoven	0.0493208
Diana	0.0492828
honky-tonk	0.049182
"Tony Bennett"	0.0491746
Rodgers	0.0487178
Puente	0.0485444
Crosby	0.0485011
"Princess Diana"	0.0484884
"Jimmy Stewart"	0.0482306
disco	0.0481768
"Los Lobos"	0.0476299
"musical theater"	0.0475505
Lullaby	0.0474853
"Lauryn Hill"	0.0474567
"Austin Powers"	0.0473263
orchestra	0.0472786
Shakespeare	0.0471134
Goethe	0.0467771
"Marlon Brando"	0.0466633
Buffett	0.0464904
"Johnny Carson"	0.0459814
Gaines	0.0459312
composer	0.0456511
cabaret	0.0456404
"folk song"	0.0456296
Pavarotti	0.0456205
Hitchcock	0.045501
Krall	0.0453892
Twain	0.0452667
"Mariah Carey"	0.0452316
bagpipe	0.0450457
"Stephen Sondheim"	0.0448574
"blue note"	0.0447853
symphony	0.0446061
Manson	0.0446038
"Lucille Ball"	0.0445003
polka	0.0444832
"Shania Twain"	0.0444604
"Babe Ruth"	0.0441743
"Roy Rogers"	0.0441055
))
(Beatrice (desc 3008.29) (sims
Josephine	0.150673
Eileen	0.140177
Kristin	0.139014
Jessica	0.135413
Evelyn	0.132623
Jacqueline	0.132384
Sonia	0.120386
Kathleen	0.117119
Brenda	0.114876
colleen	0.111966
Marcia	0.11085
Leah	0.110498
JoAnne	0.110106
Patricia	0.109641
Maureen	0.108539
alicia	0.107131
Deborah	0.10696
Andrea	0.106636
Karenna	0.106614
Doris	0.10635
Katherine	0.105943
Dorothy	0.10509
Kathy	0.104895
Stephanie	0.104115
Lydia	0.103296
Marlene	0.10241
Edith	0.101961
Marian	0.101801
Catherine	0.10139
Margaret	0.101344
Natalie	0.100758
Diane	0.100515
Jill	0.0999289
Valerie	0.0997657
Marguerite	0.099677
Irina	0.0996419
Olga	0.0995875
Emily	0.0992645
Julie	0.0982581
Denise	0.0978234
Beth	0.0977516
Nora	0.0968987
Anne	0.0961254
Erica	0.0960811
Vanessa	0.095025
Debbie	0.0948941
"Queen Noor"	0.0948437
Beverly	0.0946154
"Karenna Gore Schiff"	0.0944523
Renee	0.092338
Lisa	0.0923175
Rhonda	0.0922488
Suzanne	0.0921055
Alexandra	0.0920066
Terri	0.0918531
Kathryn	0.0918514
Janice	0.0917422
Jenna	0.0917301
Christine	0.0915789
Barbara	0.0910072
Peggy	0.0909238
Lori	0.0906317
Juanita	0.090396
Esther	0.0898644
Carolyn	0.0897344
Millie	0.0896636
Karen	0.0887107
Olivia	0.0886717
Samantha	0.0886367
Judy	0.0886076
Vicki	0.0878897
"Azizah Ismail"	0.0877739
Ashley	0.0876433
Teresa	0.0876126
Sylvia	0.0871656
Elaine	0.0869238
Michele	0.086745
Frances	0.0866574
Eleanor	0.0866404
Meg	0.086442
Rachel	0.0862671
Susan	0.0862637
Martha	0.0862447
Maria	0.0861212
Monique	0.0859116
anna	0.0855526
Shirley	0.0841615
Pauline	0.0838015
Sandra	0.0834237
Kimberly	0.0830168
Michelle	0.0828869
Jennifer	0.082724
Cheryl	0.0826244
Rebecca	0.0821091
Nancy	0.0815282
Vivian	0.0814316
Julia	0.0813467
Amanda	0.0812622
Pam	0.0812452
Stella	0.0812038
Carol	0.0810416
Naomi	0.0803211
Miriam	0.0802622
Polly	0.0802449
ANN	0.079945
Liz	0.0799123
Dolores	0.0798638
Amy	0.0798167
Tracey	0.079779
Lois	0.0797099
Debra	0.0796163
Sophie	0.0793246
Nikki	0.0793053
gloria	0.0789309
Patti	0.0786908
Cindy	0.0786674
Vera	0.0786584
Lucia	0.0785667
Audrey	0.0784242
Donna	0.0784103
Norma	0.0781779
Sheila	0.0781764
Camille	0.0776072
Katie	0.0775424
Nina	0.0775284
Ellen	0.0769118
Betsy	0.0763819
Christina	0.0759821
Melanie	0.0758095
Cynthia	0.075726
Meredith	0.0755847
Helen	0.0753763
Caroline	0.0751757
Sara	0.0750673
Louise	0.0750435
Theresa	0.0750148
Linda	0.0749272
Brooke	0.0748458
Annie	0.0748148
heather	0.0748028
Cathy	0.0745687
Juli	0.0745265
Melinda	0.074419
Tina	0.074308
Lynne	0.0736599
Susie	0.0734869
Laurie	0.0734072
Lucille	0.0727243
Gail	0.0725377
Marie	0.0724087
Elizabeth	0.0721253
Shannon	0.0716918
Alison	0.0713857
Claudia	0.0708438
Angela	0.0707872
Claire	0.0703165
Paulina	0.0701939
Molly	0.0700055
Laura	0.0698995
Toni	0.0696737
Phyllis	0.0695905
Mira	0.0692609
becky	0.0692315
Dana	0.0691181
Danielle	0.0689412
Elena	0.0687024
Erin	0.0683851
Jenny	0.0679887
hazel	0.0678766
Marisleysis	0.0677139
"Caroline Kennedy Schlossberg"	0.0676908
Robin	0.0675396
Colette	0.0672591
Heidi	0.0672519
Judith	0.0668674
Madeleine	0.0663421
Betty	0.0659277
Leslie	0.0659153
stepchildren	0.0657352
Lynn	0.0655547
"Leigh Ann"	0.0655124
Megan	0.0653112
Gertrude	0.0652395
Lauren	0.0648976
Marta	0.0648581
Clara	0.0645386
Marilyn	0.0643249
Lucy	0.0643015
Eva	0.0642861
Bianca	0.0638989
Arlene	0.0638853
Hannah	0.0637859
Jackie	0.0637613
"Carolyn Bessette Kennedy"	0.0636536
Nicole	0.0635138
Paula	0.0632228
Rita	0.0629062
Stacy	0.062434
"Lauren Bessette"	0.0624263
Sally	0.0622699
))
(Beatty (desc 6661.46) (sims
Nader	0.103249
"Warren Beatty"	0.0963369
Soong	0.0862597
Buchanan	0.0861977
Hoffman	0.0837312
DOLE	0.0831526
Galindo	0.0808224
Quayle	0.0795365
Redford	0.0786343
Benigni	0.077141
Reilly	0.0757169
Springer	0.0755221
Sezer	0.0744724
Carrey	0.0741561
trump	0.0740934
Lieberman	0.0739031
Cusack	0.073737
Spielberg	0.0734599
Perot	0.0733923
Heston	0.0732494
Kerry	0.073125
Bauer	0.0725217
Nicholson	0.0722164
McCurry	0.0722077
Bradley	0.070802
Bolger	0.0706429
"Christopher Reeve"	0.0689555
Corzine	0.068739
D'Alessandro	0.0686805
Dukakis	0.0684391
Cheney	0.0679286
Kasich	0.0669405
DiCaprio	0.0667015
Gephardt	0.0659946
Shahak	0.0654769
Isakson	0.0651379
Sheedy	0.0648958
McGreevey	0.0647849
Keyes	0.0645031
Ganga	0.0643172
ROMNEY	0.0641104
Cleese	0.0636374
Harrick	0.0635726
Hastert	0.0635531
Hawke	0.0633646
Balaguer	0.0632634
Damon	0.0631371
Krugman	0.0631255
Grossman	0.0629464
Aurelio	0.0628986
Rau	0.0624732
Henson	0.062356
Hagi	0.0623241
Gullikson	0.0622049
Westphal	0.0619111
Museveni	0.0616778
Leigh	0.0614843
Kornberg	0.0613287
Osborne	0.0613233
Goldstein	0.061181
Ventura	0.0611037
Arias	0.0609899
Dewine	0.060895
Schumer	0.0608035
Mandelson	0.0607694
Franchione	0.0606526
Florio	0.0606279
Pfeiffer	0.0604554
Rudenstine	0.0604282
O'Donnell	0.0604012
Schmalensee	0.0603386
Ruff	0.0601959
Giuliani	0.0601833
Wahid	0.0596594
Forbes	0.059589
Logue	0.0595188
Gorman	0.0593615
Wolfe	0.0592967
Eastwood	0.0591955
Landry	0.0591083
Mauro	0.0589722
Selig	0.0589712
Pataki	0.0588759
Winfrey	0.0587713
Powell	0.0587594
Yavlinsky	0.0586706
Nickerson	0.0586437
Kaye	0.0586235
Koch-Weser	0.0586183
Goodman	0.0585317
Kazan	0.0584732
Skiles	0.0584509
Estrada	0.0583939
Weizman	0.0583934
O'Malley	0.0582509
Koehler	0.0581651
"Charlton Heston"	0.0581099
Torricelli	0.058082
"De Niro"	0.0579781
Winkler	0.057859
Kasyanov	0.057829
Levin	0.0577725
Fitzgerald	0.0577369
Hagel	0.0577362
Fong	0.0577357
Talebi	0.0576904
Sanchez	0.0576509
Lazio	0.0576264
Goldberg	0.0575138
Gibson	0.0574915
Ashcroft	0.0574144
Roberts	0.0572753
Puente	0.0572723
perry	0.0572332
Kerrey	0.0571505
Hoffa	0.057119
Noboa	0.0568698
Lott	0.0567552
"Hillary Clinton"	0.0566874
Obuchi	0.0565751
Richards	0.0564326
Blount	0.0563398
Crowe	0.056276
Scioscia	0.0561919
Philbin	0.0560763
Golisano	0.0560436
Tung	0.0560033
Barr	0.0560014
Blatter	0.0557842
Coverdell	0.0557834
Reiner	0.0557696
Atwood	0.0556964
Demaci	0.0556729
Putin	0.0556714
hatch	0.0556702
Lungren	0.0556634
Margolis	0.0556478
Billick	0.0556417
"Elizabeth Dole"	0.0555754
Chen	0.0554941
Kostunica	0.0554796
Gailey	0.0554405
Greenspan	0.0554224
Larson	0.0553083
Daley	0.055239
Costner	0.0551738
Quinn	0.0550258
Weil	0.0550154
Chafee	0.0548752
Cassidy	0.0547574
Crenshaw	0.0546448
Meyers	0.0544483
Goldin	0.0544421
Kaufman	0.0544075
Leibovitz	0.0543885
Shatner	0.0543148
Reagan	0.0542958
Fischer	0.0542724
Newman	0.0542602
Streep	0.0540651
D'Amato	0.0540453
Levine	0.0540039
Keegan	0.0539111
Darnell	0.0538962
Parker	0.0538901
McLaughlin	0.0538599
Griffith	0.0538322
Inhofe	0.0537623
Allard	0.0537602
Djukanovic	0.0536672
Shelby	0.0535395
Mahoney	0.0535109
Kolbe	0.0534514
Downey	0.0534336
Goldwater	0.0534208
LaPierre	0.0534078
Riordan	0.0532969
Labastida	0.0532699
Hank	0.0532541
Nolte	0.0530344
Berger	0.0528753
Evans	0.0528477
Gregg	0.0528122
"Wesley Snipes"	0.0527736
Taft	0.0527651
Campo	0.052599
Gaston	0.0525341
Egan	0.0524912
Blix	0.05242
Morse	0.052415
Katsav	0.0524065
Ballmer	0.0523981
Nateq-Nouri	0.0523811
Ammiano	0.0521322
Irving	0.0521001
McDonald	0.0520847
McCall	0.0520669
Helms	0.052057
Tevanian	0.0520484
Cochran	0.0520219
))
(beau (desc 5026.75) (sims
boyfriend	0.0811471
fiance	0.0694992
"Dodi Fayed"	0.0647061
Dodi	0.0553221
Rene	0.0528293
A.J	0.0522317
"best friend"	0.0514887
Andrei	0.0503373
"foster mother"	0.0502426
Liam	0.0494784
Steven	0.0488221
Alexandra	0.0478554
paramour	0.04686
Joshua	0.04667
coworker	0.0453596
Edward	0.0436145
William	0.0432624
Matthew	0.0429058
firstborn	0.0424783
exboyfriend	0.0422305
Donald	0.0420879
commoner	0.0412467
stepdaughter	0.0411812
"Gary Sinise"	0.040885
daughter-in-law	0.0406525
suitor	0.040578
Mario	0.0402828
Alan	0.0401604
Winkler	0.0400293
))
(Beaufort (desc 2132.51) (sims
"Mount Pleasant"	0.132538
Spartanburg	0.126221
Greenville	0.122261
Hillsborough	0.100001
Aiken	0.0934378
"Myrtle Beach"	0.0921192
ASHEVILLE	0.0917382
Englewood	0.0898726
"Hollywood Hills"	0.0889993
"Hilton Head"	0.0889956
Windsor	0.0870752
Ballymoney	0.0862501
"High Point"	0.0854177
Gloucester	0.0841121
"Pacific Palisades"	0.0822916
Orleans	0.0812733
Winston-Salem	0.080745
Zhangbei	0.0802444
"East Hampton"	0.0793462
Carlsbad	0.0786719
Sussex	0.0780267
Seneca	0.0779933
TARBORO	0.076555
"Fort Lee"	0.0755736
Sausalito	0.0754889
Hialeah	0.0752725
Farmington	0.0749711
Hazzard	0.074386
"New Canaan"	0.0739097
"Fort Bragg"	0.0734689
Camden	0.0729733
"Palm Beach"	0.072128
Brunswick	0.072094
Edinburgh	0.0719644
Hillsboro	0.0716231
"Bel Air"	0.0715038
"Chapel Hill"	0.0709984
Charleston	0.0708073
"San Mateo"	0.0706529
"Santa Rosa"	0.0698661
"Little Havana"	0.0698048
"Rocky Mount"	0.0694057
"Sussex County"	0.0693279
Salisbury	0.0690819
Derry	0.0690803
Bridgehampton	0.0688715
Mendocino	0.0683083
Dundalk	0.0678183
Burlingame	0.0675972
Georgetown	0.0674802
"White Plains"	0.0670976
MINEOLA	0.0662762
Westminster	0.0654333
Naperville	0.0653933
Medford	0.0651306
Fayetteville	0.0649491
Falmouth	0.064876
Nashua	0.0647043
Chappaqua	0.0646236
"San Marcos"	0.0641009
Morristown	0.0635985
"St. Albans"	0.06345
Greensboro	0.0632251
Buckhead	0.0630963
Princeville	0.0629121
Savoy	0.0628356
Langkawi	0.0626539
Buckingham	0.0624313
"Cherry Hill"	0.061764
"East Orange"	0.0611877
"Virginia Beach"	0.060359
Montclair	0.0602307
Watertown	0.0600026
"Research Triangle Park"	0.0597497
Gaffney	0.0597466
Chatham	0.0595514
"San Cristobal"	0.0594461
Bedford	0.0590654
Kabwe	0.0590235
BRIGHTON	0.058695
"Simi Valley"	0.0583835
Brentwood	0.0579548
"Newport Beach"	0.0578679
riverside	0.0577383
"Paradise Valley"	0.0576093
Charikar	0.0574446
Harrisburg	0.0572466
"St. Helena"	0.0572406
Carmel	0.0571679
Surrey	0.0571577
Bray	0.0567816
Sonoma	0.0565767
Chester	0.0564497
Norwich	0.0562584
"Marin County"	0.0562377
Monmouth	0.0561628
LAKEWOOD	0.0558968
"Round Rock"	0.055837
"Garden City"	0.0555943
"San Rafael"	0.0555741
Concord	0.0554986
Marlborough	0.0554759
Calabasas	0.0552897
"Palm Beach Gardens"	0.0552087
bethel	0.0552003
Macoris	0.055116
Lawrenceville	0.0550112
"Camp LeJeune"	0.0548663
"Santa Barbara"	0.0546212
Salem	0.0544438
"Ciudad Juarez"	0.0544207
Missoula	0.0541619
"Chevy Chase"	0.0541161
Aberdeen	0.0539699
Calabria	0.0539534
"New Rochelle"	0.0538568
"Studio City"	0.053458
Waterville	0.0534361
Guadalajara	0.0531891
"Pitt County"	0.0530587
"Manhattan Beach"	0.0530316
Freeport	0.052446
Essex	0.0523643
Conway	0.0523495
Raleigh	0.0522461
Lafayette	0.0519904
Riverdale	0.051775
Ridgewood	0.0516545
"Boynton Beach"	0.0516212
Kingston	0.0515703
Yonkers	0.0513606
Smithfield	0.0513039
"Woodland Hills"	0.0512754
"Mill Valley"	0.051127
Sedona	0.0510718
Tarzana	0.0508827
Cayuga	0.0508052
Marjayoun	0.0506643
Oro	0.0505564
Gnjilane	0.0504676
Easton	0.0504228
Provo	0.050391
"Silver Spring"	0.0499619
Westport	0.0497075
Braintree	0.04963
Nago	0.0495277
"Huntington Beach"	0.0494642
"West Orange"	0.0493145
Darien	0.0493127
"Greenwich Village"	0.0492866
"Delray Beach"	0.0492094
Scarsdale	0.0491253
Plano	0.0490511
Tarrytown	0.049041
Savannah	0.049012
"Miami Beach"	0.0489748
"Fayette County"	0.0488055
Prescott	0.0485249
Poughkeepsie	0.0484453
Lorraine	0.0481533
Urosevac	0.0480903
"Cape Fear"	0.0480747
"North End"	0.0480019
Ithaca	0.0479495
Norcross	0.0479203
bourbon	0.0478329
Clearwater	0.0478182
Portsmouth	0.0477425
"Gwinnett County"	0.0476667
"trailer park"	0.0476265
Acapulco	0.0475235
"Westchester County"	0.047493
"New London"	0.0473413
"Mission Viejo"	0.0473341
"Highland Park"	0.0471489
Midrand	0.0471083
Casas	0.0470546
"Kitty Hawk"	0.0468771
Cornelius	0.046807
Soweto	0.0467882
"Great Neck"	0.0467263
Wilmington	0.046662
Williamsburg	0.046513
Killeen	0.0463506
Westfield	0.0463032
Tijuana	0.0461947
Westchester	0.0461294
Caen	0.0461288
Bloomfield	0.0461013
Malibu	0.0459486
Needham	0.0457339
Petersburg	0.0456781
Sparta	0.0456658
Andrews	0.0456597
Utica	0.0456533
"West Palm Beach"	0.0456221
"Thousand Oaks"	0.0456198
"San Pedro"	0.0454977
Miami-Dade	0.0454936
Kismayu	0.0453111
))
(Beaujolais (desc 2997.86) (sims
Riesling	0.141922
Chianti	0.137016
"Pinot noir"	0.134658
aperitif	0.124613
Chardonnay	0.111285
merlot	0.108261
"red wine"	0.100414
Cabernet	0.0990919
Zinfandel	0.0951565
champagne	0.0930459
Burgundy	0.0922038
whisky	0.0903046
Rhone	0.0878807
Calvados	0.087665
"sparkling wine"	0.0876174
"California wine"	0.0867936
Syrah	0.0856896
"root beer"	0.0841368
"Cabernet Sauvignon"	0.0839851
tequila	0.0835518
"white wine"	0.080476
"Dom Perignon"	0.0795135
"Napa Valley"	0.0781842
Alsace	0.0721096
Bordeaux	0.0711882
"Bordeaux wine"	0.0706009
Cognac	0.0693126
"iced tea"	0.0664231
"spring water"	0.0663179
lemonade	0.0655656
"Sonoma County"	0.0654684
"Sauvignon blanc"	0.0643901
Thunderbird	0.0619567
cider	0.0614019
Evian	0.059729
bubbly	0.0589851
Cheddar	0.0577879
Seltzer	0.056902
matzoh	0.0566131
Gatorade	0.0556553
Gallo	0.0554599
brie	0.0554401
"apple juice"	0.0550756
cola	0.0550441
"mineral water"	0.0548153
scotch	0.0543304
"Diet Coke"	0.0540304
"gefilte fish"	0.0538618
Napa	0.0533105
booze	0.0529213
"tomato sauce"	0.0527524
"Chenin blanc"	0.051111
beverage	0.0510746
"convenience food"	0.0507336
sherry	0.0506771
"dried fruit"	0.0498139
perfume	0.0496839
"cream puff"	0.0492912
mambo	0.0491313
brandy	0.049019
whiskey	0.048694
"Bud Light"	0.0471193
Lille	0.046917
dumpling	0.0467969
vodka	0.0467556
turpentine	0.0465598
"hot chocolate"	0.0458001
nectar	0.0456824
gin	0.0451272
bloke	0.0450804
melon	0.0449178
Indexing	0.0445397
ketchup	0.0440817
examinees	0.0439944
"side dish"	0.0436338
"tap water"	0.0434238
smoothie	0.0432791
Sonoma	0.0430739
Kool-Aid	0.0429774
abacus	0.0428514
"cranberry juice"	0.0427583
sauerkraut	0.0426719
blueberry	0.0424879
"hard drug"	0.0423054
rum	0.0420196
"cut of meat"	0.0420182
"orange juice"	0.0416275
sipping	0.0415694
"pumpkin pie"	0.0415496
shampoo	0.041311
"soda pop"	0.0411578
Tuscany	0.0411049
mouthwash	0.0407477
indies	0.0406627
Snapple	0.0406442
blackberry	0.0406275
bourbon	0.0404231
"summer house"	0.0403579
chevre	0.0400459
))
(Beaumont (desc 4468.33) (sims
"Corpus Christi"	0.198668
Brownsville	0.168585
Lubbock	0.161592
"San Angelo"	0.159947
McAllen	0.15139
Laredo	0.145354
Texarkana	0.145302
"Port Arthur"	0.142493
Galveston	0.141418
Abilene	0.139046
"New Braunfels"	0.137693
"El Paso"	0.136414
"Del Rio"	0.132638
Amarillo	0.132222
"Fort Worth"	0.130389
Shreveport	0.129023
Harlingen	0.127772
Richmond	0.12556
"San Antonio"	0.124497
"Baton Rouge"	0.122414
"Little Rock"	0.122031
Nacogdoches	0.118836
Raleigh	0.118051
Denton	0.117723
Austin	0.115505
Odessa	0.11354
Huntsville	0.112807
Longview	0.11273
Morristown	0.111688
midland	0.110033
Wichita	0.106866
Albuquerque	0.106147
Tucson	0.105527
Waco	0.103664
Newark	0.103546
"Eagle Pass"	0.102725
Greenville	0.102095
"Wichita Falls"	0.101726
Youngstown	0.100912
Carrollton	0.100309
Wilmington	0.0991652
Fredericksburg	0.098871
Hillsboro	0.0982753
Topeka	0.0966645
Spokane	0.0958967
Tampa	0.0957781
"White Plains"	0.094547
Minneapolis	0.0945404
"District of Columbia"	0.0937364
Americus	0.0928255
Charleston	0.0925344
Dallas	0.0924314
"East Los Angeles"	0.0920598
Bangor	0.0912127
ASHEVILLE	0.0910236
"Washington D.C."	0.0908098
anchorage	0.0901989
Plano	0.0901292
"New Haven"	0.0897895
"West Palm Beach"	0.0897714
Utica	0.0894328
Bridgeport	0.0889577
"East St. Louis"	0.0888066
Rochester	0.0886741
Montclair	0.0884464
"Crystal City"	0.0884167
Memphis	0.0882035
Poughkeepsie	0.0876566
"Fort Lauderdale"	0.0874527
Arlington	0.0873587
"New Orleans"	0.0873493
"Westlake Village"	0.0868859
Albany	0.0867136
Encino	0.0865563
LAKEWOOD	0.085263
Honolulu	0.0852322
"Saratoga Springs"	0.0837997
Akron	0.0836973
"Garden City"	0.0836814
Birmingham	0.0831388
Burlingame	0.0827736
Brooklyn	0.0826111
"Dallas-Fort Worth"	0.0825412
"Newport Beach"	0.0824407
"Oklahoma City"	0.08236
Stamford	0.0822061
Bryan	0.0821628
Burlington	0.0814753
Omaha	0.0813435
Jasper	0.0811799
"Harris County"	0.0811789
Camden	0.0811022
Denver	0.0810941
"El Segundo"	0.0807043
Lhokseumawe	0.0806031
"East Orange"	0.0806008
TALLAHASSEE	0.0805824
"San Jose"	0.080108
"Jasper County"	0.0800519
Worcester	0.0800389
Fresno	0.0799139
Chattanooga	0.0798732
"College Station"	0.0796152
Tacoma	0.0795822
Braintree	0.079536
Columbus	0.0793708
"San Diego"	0.0793538
"Twin Cities"	0.079069
"Salt Lake City"	0.0788745
TRENTON	0.0785196
Louisville	0.0784725
Lufkin	0.0783869
Missoula	0.0782854
"St. Paul"	0.0782489
Tulsa	0.0777017
Boise	0.077602
Springfield	0.0773652
Sacramento	0.0770381
Tyler	0.0770027
Framingham	0.0769929
Guadalajara	0.0764594
Carthage	0.0764195
Pittsfield	0.0763493
Hartford	0.0763385
Chatham	0.0763102
Freeport	0.0761784
"San Marcos"	0.0760783
"New Bedford"	0.0758643
Redding	0.0758361
Dubuque	0.0755683
Lynchburg	0.0753025
Sunnyvale	0.0751059
Cincinnati	0.0750393
Macon	0.0750151
"Rio Grande Valley"	0.0749642
"Santa Fe"	0.0748609
"Daytona Beach"	0.0748531
Elmira	0.0746881
"Century City"	0.0742996
"South Bend"	0.0742289
"Kansas City"	0.074099
Portland	0.0740373
"Woodland Hills"	0.0736481
Fremont	0.0735757
Yonkers	0.0735015
Pensacola	0.0735003
Harrisburg	0.0732007
"Round Rock"	0.0728339
Montgomery	0.0726109
BOGOTA	0.0724306
Nashua	0.0724271
"Walnut Creek"	0.0723958
Tijuana	0.0721355
Westfield	0.0716206
Alameda	0.0714881
Watertown	0.0713677
Saginaw	0.070838
Fairfield	0.0705296
Holyoke	0.0704949
Northampton	0.0701956
Eureka	0.0700579
"Des Moines"	0.0700002
Lafayette	0.0699772
"Westchester County"	0.0698526
Plattsburgh	0.0695625
Pasadena	0.0694744
Danville	0.0692511
Salisbury	0.0692495
Marietta	0.068969
Knoxville	0.0688196
Baltimore	0.0687393
Savannah	0.0687118
"Grand Prairie"	0.0686709
Weimar	0.0686656
Flagstaff	0.0685971
Charlestown	0.0683469
"Orange County"	0.0683308
Gainesville	0.0681558
"North Hollywood"	0.068142
Haifa	0.0680593
"Great Neck"	0.0680538
Newton	0.0678654
Port-au-Prince	0.0678191
Portsmouth	0.0676291
Manchester	0.0674002
Matamoros	0.0673864
Lexington	0.067314
riverside	0.0672129
Naples	0.0672093
Middletown	0.0671829
Paterson	0.0670785
Medford	0.066768
Augusta	0.0665473
Woburn	0.0662114
"San Juan"	0.0661427
"Van Nuys"	0.066121
Orlando	0.0661078
"Research Triangle Park"	0.0660861
flint	0.0660708
"Santa Monica"	0.0659569
))
(beautician (desc 1408.8) (sims
"shop assistant"	0.150699
homemaker	0.126712
stewardess	0.107823
masseuse	0.102933
manicurist	0.102819
hairdresser	0.100025
hairstylist	0.0909833
housekeeper	0.0862722
"school teacher"	0.0861458
bartender	0.0840396
receptionist	0.083289
seamstress	0.0820824
"registered nurse"	0.0819187
psychotherapist	0.0806878
electrician	0.0794553
"beauty shop"	0.0794208
paralegal	0.0792508
"house painter"	0.0777503
"art student"	0.0772738
fifth-grader	0.0771605
housewife	0.0768663
"good person"	0.0766682
bookkeeper	0.0764247
"guitar player"	0.0760626
valedictorian	0.0734154
"social worker"	0.0732148
schoolteacher	0.0728497
"fashion model"	0.0725944
paraplegic	0.072405
health-conscious	0.0722851
maid	0.0719927
hippie	0.071137
podiatrist	0.0706958
tomboy	0.0703925
"English teacher"	0.0696408
businesswoman	0.0690216
"math teacher"	0.0685318
stylist	0.0682693
Atlantan	0.0671449
perfectionist	0.066481
"eye doctor"	0.0663803
socialite	0.0658211
"funeral director"	0.065256
illustrator	0.0651883
eighth-grader	0.0651095
pianist	0.0647993
stockbroker	0.0647496
restaurateur	0.0647402
"music teacher"	0.0645108
"mechanical engineer"	0.0639783
divorcee	0.0638073
bricklayer	0.0634861
Bostonian	0.0632759
"second cousin"	0.0631058
humanist	0.0630015
librarian	0.0629495
accompanist	0.0620456
typist	0.061879
"physical therapist"	0.0616152
"computer programmer"	0.0613607
repairman	0.0613197
"ballet dancer"	0.0612944
"press agent"	0.0612374
bailiff	0.0609364
"important person"	0.0606992
landscaper	0.0606498
stuntman	0.0606022
babysitter	0.0605515
waitress	0.0603158
"literary agent"	0.0602799
"police captain"	0.0599465
"jazz musician"	0.0591996
cashier	0.0591505
"black person"	0.0590801
teller	0.0589882
HIV-positive	0.0587799
Kurd	0.0585422
"young lady"	0.0583327
"Rhodes Scholar"	0.0581479
worrier	0.0579123
radiologist	0.0578366
housemaid	0.0578358
"graphic artist"	0.0578075
"world traveler"	0.0577151
alumna	0.0575064
handyman	0.0572214
cinematographer	0.0568574
doorman	0.0565798
"certified public accountant"	0.0564692
"interior designer"	0.0561777
"factory worker"	0.0555051
hostess	0.0554966
biochemist	0.0554419
"altar boy"	0.0554174
infantryman	0.0553497
"guardian angel"	0.0553264
"aerospace engineer"	0.0552259
schooler	0.0549227
bodybuilder	0.0547808
Davidian	0.0546797
lecturer	0.0545926
neurosurgeon	0.0545705
nigger	0.0543011
"hard worker"	0.0542638
cellist	0.0541024
"real estate agent"	0.0538777
"costume designer"	0.0538491
janitor	0.0537717
"prima donna"	0.0536468
craftspeople	0.0536237
violinist	0.0535702
miler	0.0532829
"test pilot"	0.0531476
"leading lady"	0.0530479
housemate	0.0526155
"disc jockey"	0.0523496
skateboarder	0.0522845
"heroin addict"	0.0522256
geophysicist	0.0520889
"Noboru Takeshita"	0.0519064
fireman	0.0518757
dietitian	0.0518327
chaperone	0.0516567
singer-songwriter	0.0515013
supermodel	0.0514906
sixth-grader	0.0514749
realist	0.0512923
pediatrician	0.0512834
stagehand	0.0512353
"elevator operator"	0.0509387
optometrist	0.0508544
matron	0.050768
pug	0.0507398
"telephone operator"	0.0505988
chiropractor	0.050331
bitch	0.0500411
"television star"	0.0499721
bellhop	0.0499006
"young actress"	0.0498176
chambermaid	0.0496002
"science teacher"	0.0494211
"big leaguer"	0.0493754
"insurance agent"	0.049035
"network administrator"	0.0489999
"Southern Baptist"	0.0489645
breadwinner	0.0489337
huckster	0.0488208
first-rounder	0.0488084
stripper	0.0487516
hurdler	0.0486761
whiner	0.048569
juggler	0.0485593
"giving birth"	0.0484372
paramedic	0.0483877
"traveling salesman"	0.0483762
slut	0.0483457
salesperson	0.0482695
midwife	0.0477516
"ticket agent"	0.0475589
"grad student"	0.0474709
plumber	0.0474505
"fashion designer"	0.0474501
rube	0.0473925
woodworker	0.0471888
"ground crew"	0.0471808
acrobat	0.0469483
"belly dancer"	0.0468686
roofer	0.0467216
Caucasian	0.0465888
"character actor"	0.0465874
recluse	0.0465246
scum	0.0463716
linguist	0.0463429
saleswoman	0.0462465
instrumentalist	0.046236
lumberjack	0.0462155
doer	0.046203
"talent agent"	0.046156
"foster child"	0.0461045
welder	0.0460767
schoolgirl	0.0460736
storyteller	0.0460648
"union representative"	0.0460444
"real estate broker"	0.045944
handicapper	0.0459346
Deacon	0.0459064
"second person"	0.0458684
"staff sergeant"	0.045795
wacko	0.0456917
"Navy Seal"	0.0455032
"dock worker"	0.0453325
womanizer	0.0452353
Latina	0.0452119
puppeteer	0.0452064
Hejduk	0.0451272
Ailey	0.0450986
comer	0.0450764
dachshund	0.0450246
dispatcher	0.045022
non-Jewish	0.0449707
))
(beautification (desc 1280.64) (sims
reforestation	0.139673
reclamation	0.119094
reemployment	0.111968
rectification	0.111646
"soil conservation"	0.104352
"social assistance"	0.101805
computerization	0.0968426
afforestation	0.0933082
"sewage disposal"	0.0914123
fumigation	0.0910314
"land development"	0.090505
declassification	0.090423
telemedicine	0.0860715
refurbishment	0.0855577
readjustment	0.0841511
"flood control"	0.0821656
GSP	0.0806354
demobilization	0.0805686
alleviation	0.0790632
privatisation	0.0786854
collaborative	0.0779747
sensitization	0.0779268
"mass transit"	0.0766385
ODA	0.0756781
electrification	0.0755678
disinvestment	0.0755127
outreach	0.0750152
redevelopment	0.0741276
"United Way"	0.0741259
Judaization	0.0739952
dredging	0.0732924
"public works"	0.0728355
U.S.-Russian	0.0721839
pacification	0.0720936
harnessing	0.0714805
decadelong	0.0710458
interdiction	0.0708821
regionalization	0.070737
"sales promotion"	0.0704522
Internet@	0.0703625
GEMINI	0.0699952
recapitalization	0.0692246
rebuilding	0.0690891
multimillion	0.0687576
"more than three-fourths"	0.0685307
telemarketing	0.0684502
"civil engineering"	0.0679639
conservancy	0.0675476
"Joint Strike Fighter"	0.0672461
counterterrorism	0.0670407
streetlight	0.0670174
"five key"	0.0667943
"medical aid"	0.0666079
land-use	0.0662599
"million Dollar"	0.0659839
self-improvement	0.0656797
grassroot	0.0653376
diversification	0.06532
"Sea Launch"	0.0641581
urbanization	0.0638156
"chemical warfare"	0.06345
"R&AMP;D"	0.0633538
ragtag	0.0630586
landscaping	0.0629044
"Delta @"	0.0628153
"pork barrel"	0.0625607
purification	0.0625245
mitigation	0.0623582
re-opening	0.0623516
"road construction"	0.0619258
"blue ribbon"	0.0618943
"drainage area"	0.0615076
ten-year	0.0613942
cleanliness	0.0612688
modernizing	0.0611916
"public utility"	0.0609988
revitalization	0.0609669
realignment	0.0607843
"elementary education"	0.0602096
rationalization	0.0595845
industrialization	0.0593454
GEF	0.0589551
immunization	0.0589203
self-help	0.0587944
"Prudential Insurance Co."	0.0586808
interagency	0.058606
workfare	0.0585816
decentralization	0.0585775
commissioning	0.058524
abatement	0.058504
upkeep	0.058281
divestment	0.0582467
"urban planning"	0.0578076
replenishment	0.0578044
OPIC	0.0577448
"product development"	0.0575763
"germ warfare"	0.0574413
desalination	0.057294
naturalization	0.0572465
remediation	0.0569587
multibillion	0.0562691
"family planning"	0.0561359
ergonomics	0.0561181
eugenics	0.0560995
iss	0.0560622
ten-day	0.0555434
hydro	0.0554981
nominating	0.0553861
Americorps	0.0552645
evangelism	0.0550451
"garbage disposal"	0.0548656
standardization	0.0546665
SETI	0.0545438
"population control"	0.0544417
spraying	0.0543787
"International Space Station"	0.0543691
dollarization	0.0543491
"export credit"	0.0543287
popularization	0.0534766
demarcation	0.0533243
"four key"	0.0532046
detoxification	0.0530672
reintegration	0.0530215
Inoculation	0.0528395
"more than @,@@@ kilometers"	0.0527348
waterworks	0.0524941
mechanization	0.0524327
bioengineering	0.0522869
shipbuilding	0.0520755
fact-finding	0.0520057
optimization	0.0519116
legalization	0.0518267
"cost cutting"	0.0516336
filtering	0.0516265
colonization	0.0515568
divestiture	0.051547
"Windows Media Player"	0.0511561
ecotourism	0.0511416
Mekong	0.0510135
siltation	0.0509843
renaming	0.050875
"two sections"	0.0508727
Xiaolangdi	0.0506419
"social insurance"	0.0506341
streamlining	0.0505745
weaponization	0.0504221
"social welfare"	0.0501439
counterintelligence	0.0500184
"Consumer Federation"	0.0499752
weight-loss	0.0499216
expropriation	0.0498936
"central heating"	0.0497328
"New Millennium"	0.0496122
reinvestment	0.0495653
"land reform"	0.0495376
Contra	0.049502
annexation	0.0494615
commercialization	0.0494482
"stroke play"	0.0492049
"billion dollar"	0.0491467
spaceflight	0.0490525
ex-mayor	0.0489881
drainage	0.0489593
"World Vision"	0.0487191
reintroduction	0.0484278
"tax avoidance"	0.0484274
rinderpest	0.0481431
blocking	0.0480824
profit-sharing	0.0479959
DAP	0.047941
demilitarization	0.0479073
sub-regional	0.0478145
sewer	0.0476274
"market reform"	0.047564
reopening	0.0474969
reconfiguration	0.0472041
rejuvenation	0.0471834
facelift	0.0471481
AFTA	0.0471163
nonproliferation	0.0470847
oil-for-food	0.0470423
remodeling	0.0470131
torching	0.0467322
unionization	0.0466745
"Gorges Dam"	0.0466719
interconnection	0.0466262
"Agenda @@@@"	0.0466131
X-@@	0.0464537
Muslim-Croat	0.046266
"Big Dig"	0.0462385
"human factor"	0.0462333
drying	0.0462243
restitution	0.046084
telethon	0.0460608
nuclear-weapons	0.0460004
"preventive medicine"	0.0459161
"Outlook Express"	0.0459082
"environmental science"	0.0458136
sterilization	0.0457165
agronomy	0.0456975
))
(beautiful (desc 3529.28) (sims
"Life Is Beautiful"	0.140348
tingle	0.0786613
"Ideal Husband"	0.0773553
"Cider House Rules"	0.0738593
"Galaxy Quest"	0.0693142
"Scary Movie"	0.0632953
"English Patient"	0.0628862
"Civil Action"	0.0624795
"Roberto Benigni"	0.0624554
"Got Mail"	0.0623313
"Saving Private Ryan"	0.0589856
"Waking Ned Devine"	0.0582636
"Scream @"	0.0581128
"Truman Show"	0.0579993
"Cruel Intentions"	0.0567096
"El Dorado"	0.0564982
Muckler	0.0562891
"Mickey Blue Eyes"	0.0551928
"high fidelity"	0.0549565
"Iron Giant"	0.0534244
EdTV	0.0533095
endgame	0.0526958
"Runaway Bride"	0.0504499
"Notting Hill"	0.0504112
"Toy Story @"	0.0501224
"piece of cake"	0.0501086
tango	0.0500807
U-@@@	0.049526
"chicken run"	0.049501
"American Beauty"	0.0492386
"Thin Red Line"	0.0489798
Spring/Summer	0.0489415
Biffle	0.0470696
Gump	0.0465097
out-of-towners	0.0464528
"blank check"	0.0463492
"pitch black"	0.0457698
crapshoot	0.0456523
twentysomethings	0.0453455
"Patch Adams"	0.0451434
"Thomas Crown Affair"	0.0451322
Pecker	0.0448293
Maruyama	0.0445543
"American Psycho"	0.0444972
"Eyes Wide Shut"	0.0444579
Bulworth	0.0443927
"Nurse Betty"	0.0441124
"landscape architect"	0.0440066
Gossage	0.0435314
"best man"	0.043522
"Pulp Fiction"	0.0432259
"Scott Gomez"	0.0429774
"Blair Witch Project"	0.0421222
"two pitchers"	0.0412821
Costner	0.0412293
McCray	0.0412132
"American Pie"	0.0404322
Merlino	0.0401511
"Stuart Little"	0.0401019
"Hollow Man"	0.040076
Stoppard	0.0400306
))
("Beautiful Pleasure" (desc 1703.51) (sims
"Banshee Breeze"	0.203685
Chilukki	0.15334
Silverbulletday	0.152493
"River Keen"	0.145652
Anees	0.133546
"Favorite Trick"	0.13082
"Answer Lively"	0.129001
Artax	0.12119
"High Yield"	0.119179
Malek	0.118144
mare	0.117178
Behrens	0.115347
"Cash Run"	0.11333
"Moses Tanui"	0.110748
"Lemon Drop Kid"	0.109869
"Jubilo Iwata"	0.108796
"Desert Hero"	0.108771
"Eddie Cheever"	0.106969
"Koji Ito"	0.106817
"Red Bullet"	0.104135
"American Pete Sampras"	0.103415
"Free House"	0.103354
"Svetlana Masterkova"	0.10211
"Puerto Madero"	0.101347
"Jansher Khan"	0.0997138
"Paul Tergat"	0.0991373
gelding	0.098857
"Jean-Philippe Gatien"	0.0984892
"Worldly Manner"	0.0983198
"Awesome Again"	0.0973376
"Fu Mingxia"	0.0972491
"Fatuma Roba"	0.0968767
"Deon Hemmings"	0.0962473
Nicol	0.0954726
"Excellent Meeting"	0.0943604
"Forest Camp"	0.0937842
Dosedel	0.0933909
"Ecton Park"	0.0920017
Surfside	0.0912623
"Maria Butyrskaya"	0.0910446
"Oksana Kazakova"	0.0907935
"Silver Charm"	0.0897462
"Penny Heyns"	0.0892686
Daylami	0.088309
"Kenny Brack"	0.0873314
"Prime Timber"	0.0867998
"Dottie Pepper"	0.0866414
Adonis	0.0862041
"Svetlana Khorkina"	0.0855646
Valhol	0.08529
"Fusaichi Pegasus"	0.0850402
Budroyale	0.084891
"Miguel Indurain"	0.0843443
Longo	0.0836706
"Victory Gallop"	0.0834774
"Olin Browne"	0.0833021
"Cat Thief"	0.083017
"Arnaud Di Pasquale"	0.0827765
"Old Trieste"	0.0823332
"Oliver McCall"	0.0823016
"Jeff King"	0.0815961
"Elena Berezhnaya"	0.0813876
"Real Quiet"	0.0810132
"Derrick Adkins"	0.0805766
"Ge Fei"	0.0802505
"Skip Away"	0.0796232
"Zoran Primorac"	0.078996
"Hale Irwin"	0.0787902
"Wang Yifu"	0.0776644
Bruguera	0.0776526
"Gil Morgan"	0.0776372
filly	0.0770614
thoroughbred	0.076974
Gebrselassie	0.0768605
"Rodney Eyles"	0.0767771
"Wang Junxia"	0.0760228
"Guo Jingjing"	0.0759015
Bayi	0.0757717
"Todd Eldredge"	0.0756821
"Peter Rasmussen"	0.075636
"quarter horse"	0.0755867
Stoltenberg	0.0755483
trotter	0.0754606
"Maria Mutola"	0.075358
"Tom Dolan"	0.0752796
"Juli Inkster"	0.0752738
"Maurice Greene"	0.0752573
"Annika Sorenstam"	0.0751651
"Fabrice Santoro"	0.0744303
"Buster Douglas"	0.0742741
"Susie O'Neill"	0.074005
"Felix Savon"	0.0734303
Affirmed	0.0733755
"Dalian Wanda"	0.0728674
"Running Stag"	0.0722991
Trippi	0.0721741
"Schalke @@"	0.071786
"Yang Yang"	0.0717545
"Winning Colors"	0.0716619
Gremio	0.0713282
"Frank Nobilo"	0.0707403
grindstone	0.0704789
"Ivan Pedroso"	0.0704731
Menifee	0.0702626
"Blaine Wilson"	0.0699081
"Seattle Slew"	0.0698957
"Bjarne Riis"	0.0697963
"Gail Devers"	0.0697555
"Marco Pantani"	0.0697111
Karpov	0.0696522
"Regina Jacobs"	0.0693096
"Jan-Ove Waldner"	0.0692884
"Ivan Ivankov"	0.0691725
"Shanghai Shenhua"	0.0691663
"Stephen Got Even"	0.0689186
"Brooke Bennett"	0.0687531
"A.P Indy"	0.0683813
"Alex Zanardi"	0.0683597
"Christine Arron"	0.0683543
Pantani	0.0682497
"Julius Francis"	0.0681809
"Stacy Dragila"	0.0680846
"Iva Majoli"	0.0680518
"Gong Zhichao"	0.0679638
"Jorgen Persson"	0.0679444
Popov	0.0678572
"Dong Jiong"	0.0677301
Obilic	0.0676999
"Jenny Thompson"	0.0676996
"Liu Guoliang"	0.0676337
"Chen Lu"	0.0672098
Devers	0.0671882
"Peter Gade Christensen"	0.0669448
"Kinder Bologna"	0.0669004
Biffle	0.0667688
"Sergi Bruguera"	0.0667323
"Le Jingyi"	0.0666794
"Paul Lawrie"	0.0665832
"Chris Boardman"	0.0664521
Berasategui	0.0664081
"Amy Frazier"	0.0663932
"Alexander Popov"	0.0663419
"Kostya Tszyu"	0.0662334
"John Godina"	0.065942
"Allen Johnson"	0.0658532
"Picabo Street"	0.0656412
"Brian Moehler"	0.0653207
Waldner	0.065091
"Li Ju"	0.0649712
"Ato Boldon"	0.0649504
"Katja Seizinger"	0.0649039
Ulihrach	0.0646472
Hentgen	0.064584
"Kong Linghui"	0.0642782
"Hiroyasu Shimizu"	0.0641785
"Borussia Dortmund"	0.0640937
"Zach Thornton"	0.0640909
"Anatoly Karpov"	0.0639427
"Oksana Baiul"	0.063843
"Charles Austin"	0.0636245
"Mike Sirotka"	0.0634019
"Chicago Fire"	0.0632877
"Liu Yong"	0.0632784
"Pernilla Wiberg"	0.063252
"Kieren Perkins"	0.0629867
"Rainer Schuttler"	0.0628008
"Alberto Tomba"	0.06279
"Gil Heredia"	0.0626509
"Ye Zhaoying"	0.0626358
"Touch Gold"	0.0625989
"Elvis Stojko"	0.0624403
"BRIAN MEADOWS"	0.0624249
"Johnny Tapia"	0.0623537
"Susi Susanti"	0.0623086
"Wang Nan"	0.0622395
"Fiona May"	0.0619758
"Claudia Poll"	0.0618299
"Gustavo Kuerten"	0.061814
"Magnus Gustafsson"	0.0618136
"Pat Hentgen"	0.0617158
vicar	0.0617075
"Michael Doohan"	0.0616442
Zamalek	0.0615938
"Kimberlite Pipe"	0.0615868
"Thomas Stangassinger"	0.0615659
"Bjarte Engen Vik"	0.0615415
"Arantxa Sanchez Vicario"	0.0612752
Majoli	0.0612166
"Russian Yevgeny Kafelnikov"	0.0612049
Susanti	0.060942
"Marc Rosset"	0.0608689
Haarhuis	0.0605718
"Ernie Els"	0.0603264
Sainz	0.0602695
"Garry Kasparov"	0.0602269
Hoogenband	0.0602071
"Denis Pankratov"	0.0600303
"Inge de Bruijn"	0.0600269
"Tommi Makinen"	0.059966
"Conchita Martinez"	0.0599462
))
(beauty (desc 83435.9) (sims
elegance	0.159502
charm	0.130443
simplicity	0.128359
style	0.119876
grandeur	0.117494
quality	0.113249
warmth	0.106806
love	0.106478
pleasure	0.105647
grace	0.103726
humor	0.103046
scenery	0.10291
purity	0.102787
richness	0.10209
complexity	0.101887
glamour	0.101584
wit	0.101551
talent	0.101346
dignity	0.100791
passion	0.100735
clarity	0.100037
originality	0.0995383
image	0.0987604
joy	0.0986203
diversity	0.0976722
character	0.09703
nature	0.0967256
spirit	0.0956383
sophistication	0.0954507
landscape	0.094892
art	0.0948485
color	0.0948455
personality	0.094331
vitality	0.0938036
culture	0.0923399
charisma	0.0920182
Creativity	0.0911366
subtlety	0.090912
courage	0.0904967
sense	0.090413
emotion	0.0897261
vision	0.0893899
music	0.0893846
depth	0.0892817
glory	0.0891254
artistry	0.0884716
serenity	0.0883642
heritage	0.0881963
eloquence	0.0881629
strength	0.0880331
Romance	0.0880271
generosity	0.0878856
excitement	0.0871436
intensity	0.0870325
taste	0.086712
drama	0.0866393
tenderness	0.0865565
splendor	0.0859674
tradition	0.0859323
flavor	0.085869
honesty	0.0854266
architecture	0.0853435
uniqueness	0.0847116
brilliance	0.0845203
magic	0.0842821
intelligence	0.0841383
"good looks"	0.0839181
allure	0.0835386
meaning	0.0835072
spontaneity	0.0834358
mystery	0.0833151
virtue	0.0831827
skill	0.0831723
wisdom	0.0830899
spirituality	0.0827172
ability	0.0824465
sweetness	0.0823153
irony	0.0822738
intimacy	0.0820725
history	0.0816241
truth	0.0815122
texture	0.0814273
intellect	0.0809492
freshness	0.0807559
design	0.0807559
realism	0.080004
wonder	0.0797965
fantasy	0.0791937
compassion	0.0788518
look	0.0786268
reality	0.0782216
nuance	0.078163
lightness	0.0780801
accomplishment	0.0779628
pride	0.0778287
value	0.0776684
life	0.0774106
Vista	0.0772599
sound	0.0769983
poetry	0.0769976
comfort	0.0768754
humility	0.076813
aura	0.0766342
happiness	0.0765647
fashion	0.0764858
integrity	0.0761871
genius	0.076015
perfection	0.0759208
thrill	0.0758895
exuberance	0.0757234
experience	0.0756085
energy	0.0756076
wealth	0.0753407
sensibility	0.075205
poise	0.0750612
horror	0.0747802
refinement	0.0744303
feeling	0.0744053
authenticity	0.0736158
enthusiasm	0.0734589
humanity	0.0730221
insight	0.0728321
toughness	0.0726614
rhythm	0.0726139
variety	0.0724708
tale	0.0723701
imagery	0.0720994
athleticism	0.0720619
majesty	0.0719993
adventure	0.0719832
memory	0.0717563
success	0.0716555
power	0.0716432
sight	0.0712941
painting	0.0712545
precision	0.0711442
characteristic	0.0711332
versatility	0.0709251
poignancy	0.0707062
fun	0.0706476
importance	0.0706354
harmony	0.0705936
celebrity	0.0705879
immediacy	0.0704035
tone	0.0703788
excellence	0.0703754
luxury	0.0701628
knowledge	0.0697259
essence	0.0695995
virtuosity	0.0693059
atmosphere	0.0692016
tragedy	0.0690415
lyricism	0.068932
cuisine	0.0688644
imagination	0.0687357
achievement	0.068714
greatness	0.0686435
kind	0.0685645
potential	0.0685059
delicacy	0.0684355
object	0.0683989
enjoyment	0.0683572
lifestyle	0.0683253
vulnerability	0.0683135
individuality	0.0681563
element	0.0681401
identity	0.0681249
voice	0.0681173
flair	0.0680426
presence	0.0678768
performance	0.0677835
faith	0.0676626
ethic	0.0676086
soul	0.0676082
idea	0.0675446
spectacle	0.0674752
concept	0.0673847
ideal	0.0673753
manner	0.0673419
freedom	0.0671398
size	0.0668786
aspect	0.0668647
sexuality	0.0666239
stillness	0.0664455
thing	0.0664062
consistency	0.066321
kindness	0.0660829
craftsmanship	0.0660251
decency	0.0660249
professionalism	0.0660005
novelty	0.0659369
story	0.0658037
vigor	0.0655932
feature	0.065438
creature	0.0652281
theme	0.0647965
moment	0.0647034
pathos	0.0645963
nostalgia	0.0645137
Entertainment	0.0644702
))
("beauty parlor" (desc 2268.09) (sims
"beauty shop"	0.139524
"dance hall"	0.122817
"beauty salon"	0.119772
"butcher shop"	0.102389
"bowling alley"	0.0994989
"tea house"	0.0976416
"Print Shop"	0.0914108
"liquor store"	0.0914044
saloon	0.0892115
"food shop"	0.0862374
"clothing store"	0.0854196
parlor	0.0847632
"movie theater"	0.0841412
"art gallery"	0.0836681
"gas station"	0.0833135
chiropractic	0.0824575
bakery	0.0800019
tavern	0.0786873
SPA	0.0781422
spas	0.0771466
"convenience store"	0.0759588
"jewelry store"	0.0741666
delicatessen	0.0737137
"service station"	0.0734325
manicure	0.0715943
"general store"	0.0715066
bordello	0.0708121
bed-and-breakfasts	0.0707305
"movie house"	0.0706798
eateries	0.0700922
nightclub	0.0690066
"soup kitchen"	0.0680341
boutique	0.0677481
"gift shop"	0.0657777
"boarding house"	0.0650154
"machine shop"	0.0646226
"petrol station"	0.0645144
facial	0.0641512
deli	0.0641317
cafeteria	0.0639277
Pharmacy	0.0637687
arcade	0.0632873
"fire station"	0.0631014
"relay stations"	0.0630194
salon	0.0627905
"grocery store"	0.0625292
brothel	0.0625251
"holiday resort"	0.0622733
dispensary	0.0622133
"funeral home"	0.0621692
discotheque	0.0609882
"day camp"	0.0609482
"coffee bar"	0.0609099
Jacuzzi	0.0608237
"business establishment"	0.0603008
"shopping mall"	0.0601837
pizzeria	0.0600486
barbershop	0.05968
coffeehouse	0.0596073
"hardware store"	0.0595623
"employment agency"	0.0590285
"pizza parlor"	0.0586728
"place of worship"	0.0586425
"shoe store"	0.0580364
kiosk	0.0577646
mitzvah	0.0570885
Marina	0.0569456
motel	0.0565502
"recreational facility"	0.056445
"branch office"	0.0562035
aromatherapy	0.0561219
chiropractor	0.0560166
bistro	0.055951
"community center"	0.0558567
pushcart	0.0554831
acupuncture	0.0553675
drugstore	0.0553395
"vocational school"	0.0552763
"specialty store"	0.0552552
"toy store"	0.0551592
"coffee shop"	0.0550248
"satellite receiver"	0.0545603
"pressure group"	0.05441
"ball field"	0.0541771
"subsidiary company"	0.0538061
"day care center"	0.0536955
trolley	0.0524552
"reading room"	0.0522255
"utility program"	0.0518835
sauna	0.0518512
"gasoline station"	0.0517832
"house of worship"	0.0514246
disco	0.0511259
teahouse	0.0506727
sawmill	0.0500606
guesthouse	0.0496756
junkyard	0.0494557
pawnshop	0.0494517
Bathhouse	0.0493954
kennel	0.0489726
"automated teller machine"	0.0487739
"educational institution"	0.0486158
"sales outlet"	0.0484477
"game room"	0.0483415
pedicure	0.0483307
"discount store"	0.0482875
"entertainment center"	0.0482743
hospice	0.0482614
"recording studio"	0.0482576
"dining area"	0.0480768
nightspot	0.0479406
"electric current"	0.0477276
"tool kit"	0.0472195
pick-and-roll	0.0472098
"retail store"	0.0471899
Airstream	0.0468608
"nursery school"	0.0466063
"manufacturing plant"	0.0465034
hostel	0.0464199
"emergency room"	0.0463525
bookshop	0.046272
tearoom	0.0461627
"gasoline pump"	0.0458747
"afternoon tea"	0.0455941
"amusement park"	0.0454894
"cash machine"	0.0446757
speakeasy	0.0446546
"psychiatric hospital"	0.0445411
bedsheets	0.0444681
"pool table"	0.0443569
showroom	0.0443508
"recreation room"	0.0442347
"landing strip"	0.0440419
"Rainbow Room"	0.0439523
"home office"	0.0439041
lamasery	0.0437584
homepages	0.0437031
"public utility"	0.0434838
"flea market"	0.0433007
outpatient	0.0432458
ten-day	0.0432154
faucet	0.0430278
personae	0.0429038
"carriage house"	0.0428773
orphanage	0.0427547
"application program"	0.0425884
"repair shop"	0.0425509
"dairy farm"	0.0423333
"exercise equipment"	0.0422684
shantytown	0.0422158
webcams	0.0421548
"gambling casino"	0.042117
alcove	0.0421061
herbalist	0.0419811
restroom	0.0419012
"computer store"	0.0415813
stalls	0.0415318
campgrounds	0.0409363
inquisitor	0.0407044
storefront	0.0405603
"rooming house"	0.0404361
"dry cleaner"	0.0403044
"steel mill"	0.0402523
"conference center"	0.0402086
))
("Beauty Queen" (desc 1082.46) (sims
"scarlet pimpernel"	0.164838
"Music Man"	0.152318
"Iceman Cometh"	0.132418
"Lincoln Center Theater"	0.110864
"Blue Room"	0.105464
Isolde	0.0876724
"Via Dolorosa"	0.0861275
"Lion King"	0.0859501
"True West"	0.0846065
weir	0.0825308
"Side Man"	0.0812306
"Cosby Show"	0.077939
"Howdy Doody"	0.0776542
"Les Miserables"	0.0770797
"Perfect Storm"	0.0761163
Simpsons	0.0742181
"Blair Witch Project"	0.0738803
Turandot	0.0719457
ragtime	0.0715904
"West Side Story"	0.0714768
"Cider House Rules"	0.0712415
"Full Monty"	0.0709642
"Swan Lake"	0.0707068
"picture show"	0.0699572
"Annie Get Your Gun"	0.0692426
"real thing"	0.0687803
Porgy	0.0684927
"Don Quixote"	0.0683455
Matrix	0.0681895
CFCs	0.0662861
"Jenny Jones Show"	0.0662727
"Peony Pavilion"	0.0656027
"W.W Norton"	0.0643001
"Smoke Signals"	0.0641261
"six degrees"	0.0640602
"Wild Party"	0.0634865
"Happy Days"	0.0634057
cabaret	0.0633284
"Dateline NBC"	0.0615018
Macbeth	0.0603778
"Mod Squad"	0.0602661
"Christmas carol"	0.0601241
"Satanic Verses"	0.0597588
"L.A Confidential"	0.0589801
"Cradle Will Rock"	0.0586165
Nutcracker	0.0584682
"Public Theater"	0.058443
"Invisible Man"	0.0584262
Othello	0.0583133
oilseed	0.0577616
"Sesame Street"	0.057162
dioxins	0.0566339
"Politically Incorrect"	0.056453
bastard	0.0564372
Trainspotting	0.0564028
Iceman	0.0557273
"World News Tonight"	0.0557171
"Basic Books"	0.0552782
Rugrats	0.0549755
twenty-one	0.0546582
"Parent Trap"	0.0546007
"Twelfth Night"	0.0545917
"Sweeney Todd"	0.0545107
"The Sopranos"	0.0542627
"English Patient"	0.0534688
slasher	0.053461
tritium	0.0533368
Tupperware	0.0533344
"supporting players"	0.0529592
E.R	0.0528783
"chorus line"	0.0528346
ethylene	0.052803
"Primary Colors"	0.0527652
telomerase	0.0526639
taming	0.0525404
"Nash Bridges"	0.0525101
"Larry Sanders Show"	0.0517945
"fortune cookie"	0.0516066
"Murphy Brown"	0.0513723
"Fox Sports News"	0.0513208
ripley	0.050921
Godot	0.0508537
"American Psycho"	0.0503787
"Star-Spangled Banner"	0.0500617
"Late Show"	0.0497935
Catch-@@	0.0494992
"Late Night"	0.0493979
"Don Giovanni"	0.049224
"four million tons"	0.0491448
"sleeping beauty"	0.0490506
"sixth sense"	0.0488602
off-Broadway	0.0487447
"solar cell"	0.048676
"old times"	0.0485353
"adventure story"	0.0485142
"LA BOHEME"	0.0484853
Evita	0.0483777
"Peter Pan"	0.0482835
"Wonderful World"	0.0481356
Dolittle	0.0478904
"Opium War"	0.0478222
Epogen	0.0477186
"CBS Evening News"	0.0476403
Moby-Dick	0.0474869
"Princess Mononoke"	0.0474658
"steel plate"	0.0472189
"Will &AMP; Grace"	0.0469282
Modell	0.0469253
Showboat	0.0467443
"Great Gatsby"	0.0467173
"CBS Sports"	0.0466854
Agnes	0.0465084
"Julius Caesar"	0.0464534
zombie	0.0464239
Crucible	0.0459268
Shays-Meehan	0.0459031
"black tea"	0.0457826
sextet	0.0457717
"musical comedy"	0.0456607
"Roundabout Theater Company"	0.0454684
"five million tons"	0.0453268
"Leigh Ann"	0.0450224
WGBH	0.0450027
"Expo @@@@"	0.0448725
"Prudential Insurance Co."	0.0445619
Rubicon	0.0444316
Falstaff	0.0443675
Dharma	0.0443001
"Early Show"	0.0441949
AN-@@	0.0441074
Medea	0.0440848
Erythropoietin	0.0440345
"New Beetle"	0.0439774
"Who Wants"	0.043878
Oedipus	0.0436977
"La Traviata"	0.0436597
"Marie Christine"	0.0436495
"Great Expectations"	0.0434868
Cline	0.0433875
mini-series	0.0433328
Springbok	0.0433196
"Richard III"	0.0433176
Taxol	0.0432798
louver	0.0431361
"Everybody Loves Raymond"	0.0430285
"American Pie"	0.0430162
Brogna	0.0430041
"King Lear"	0.0430004
obit	0.0429073
"Lilith Fair"	0.0428861
Passat	0.0427892
"Forrest Gump"	0.0427644
Aida	0.0427572
"Law &AMP; Order"	0.0427555
mommy	0.0425621
"palm oil"	0.0425565
R.E.M	0.0424886
Antony	0.0424544
Grammys	0.0424218
"Shanghai Composite Index"	0.0424133
Woolf	0.042408
"wind power"	0.0423455
methamphetamines	0.0423391
Footloose	0.0422875
"Truman Show"	0.0422669
Electra	0.0421217
compressor	0.0419497
"Streetcar Named Desire"	0.041788
"City Opera"	0.041713
"caustic soda"	0.0416911
"Night Fever"	0.0416896
"Jurassic Park"	0.041652
"Animal Farm"	0.0415759
"Vincent van Gogh"	0.0414626
lynching	0.0414517
Giselle	0.041441
Rockettes	0.0413756
"Love Boat"	0.0413029
palladium	0.0411797
Nightingale	0.0410997
"wonder boy"	0.0409232
"machine tool"	0.040913
"about @@ million tons"	0.040909
terrapin	0.0408682
Biko	0.0408447
"Masterpiece Theater"	0.040828
"Home Run Derby"	0.0406457
NewsHour	0.0406287
Faust	0.0406202
Bolshoi	0.0406136
Baywatch	0.0406014
Xena	0.0405426
goalpost	0.0405199
smallness	0.0404083
"Third Watch"	0.0404042
Hedwig	0.0403899
"Hernan Gumy"	0.0403317
Antz	0.0402141
"Broadway Books"	0.0401908
Opry	0.040125
))
("beauty salon" (desc 3744.26) (sims
"clothing store"	0.148901
"jewelry store"	0.139321
"shoe store"	0.138495
delicatessen	0.135285
"liquor store"	0.132468
"bowling alley"	0.130121
pizzeria	0.12539
bookshop	0.120643
"convenience store"	0.120268
"beauty parlor"	0.119772
bakery	0.116784
"hardware store"	0.116586
"machine shop"	0.114678
"candy store"	0.10875
eateries	0.108167
salon	0.106286
"gift shop"	0.10597
"pizza parlor"	0.105888
parlor	0.105424
"art gallery"	0.103157
sawmill	0.102122
"grocery store"	0.100714
"department store"	0.0994305
drugstore	0.0986494
"movie theater"	0.0984605
"toy store"	0.0963241
"repair shop"	0.095281
"dance hall"	0.0951371
boutique	0.0940761
deli	0.0938716
cafe	0.0931672
bookstore	0.0906592
"gas station"	0.0900929
"recreation room"	0.0898132
tavern	0.0895387
"coffee shop"	0.0890435
"game room"	0.0883158
sauna	0.0871914
"funeral home"	0.0868463
saloon	0.0856804
pub	0.0849508
bistro	0.0844054
brothel	0.0837026
"recording studio"	0.083046
"trucking company"	0.0827296
Pharmacy	0.0823988
"tea house"	0.0823468
cafeteria	0.0820954
gym	0.0818017
SPA	0.0816004
Bathhouse	0.0801297
spas	0.0794521
"general store"	0.0784796
junkyard	0.0781803
"day care center"	0.077292
"service station"	0.0762558
kiosk	0.0759863
"Rainbow Room"	0.0751041
nightclub	0.0748242
"travel agency"	0.0747582
"coffee bar"	0.0746171
"specialty store"	0.0741873
Steakhouse	0.0734596
"printing company"	0.0734285
"miniature golf"	0.0720707
coffeehouse	0.0712131
"gasoline station"	0.0709271
Brasserie	0.0700918
"nursing home"	0.0697882
"computer store"	0.0693902
"entertainment center"	0.0688498
"bus company"	0.0688259
mortuary	0.0686118
"shopping center"	0.0683922
Marina	0.0681141
nursery	0.0681036
mall	0.0680419
"dry cleaner"	0.0677095
supermarket	0.0670679
"amusement park"	0.06593
"tennis court"	0.0658663
"retail store"	0.0650552
"pool table"	0.0648308
"snack bar"	0.0646121
"Print Shop"	0.0644557
slaughterhouse	0.0642339
"employment agency"	0.0638089
grocery	0.0631934
cannery	0.0629348
"beauty shop"	0.0629337
arcade	0.0623187
bed-and-breakfasts	0.062283
"dining room"	0.0616495
motel	0.0614402
"Saks Fifth Avenue"	0.0614063
pawnshop	0.0611995
dealership	0.0611099
Harrods	0.0610498
florist	0.0605358
"Holiday Inn"	0.060416
"ice rink"	0.0600763
Jacuzzi	0.0597378
foundry	0.0597052
Woolworth	0.0596446
"picnic area"	0.0581767
"petrol station"	0.0580552
"discount store"	0.0580245
"swimming pool"	0.0575222
kennel	0.0572963
"abortion clinic"	0.0570314
"business establishment"	0.0569103
"cash machine"	0.0567432
"retail chain"	0.0564073
"filling station"	0.0562665
"textile mill"	0.055751
laundry	0.0556922
"furniture company"	0.0554815
"psychiatric hospital"	0.0552806
hospice	0.0552553
"gambling casino"	0.0548881
"flour mill"	0.0547721
"butcher shop"	0.0546692
winery	0.0546188
"steel mill"	0.0544659
"Neiman Marcus"	0.0543002
"Chronicle Publishing"	0.054221
stalls	0.0538629
"post office"	0.0538266
"shopping mall"	0.0538186
"skating rink"	0.0537531
cinema	0.0533981
"B&AMP;B"	0.0532848
"movie house"	0.0532198
"family business"	0.0531526
tearoom	0.0529654
"Unit @"	0.0529536
diner	0.0528498
"Washington Senators"	0.0528409
teahouse	0.0527381
"community center"	0.0523613
"manufacturing plant"	0.0520388
barbershop	0.0519971
brewery	0.0514815
"driving range"	0.0514514
gymnasiums	0.0513839
"deposit box"	0.0512091
"Chrysler Building"	0.0510489
"soup kitchen"	0.0507318
inn	0.0505941
"Best Buy"	0.050483
condominium	0.0504081
guesthouse	0.0504024
disco	0.0503561
teacup	0.0502219
"dairy farm"	0.0500557
"office building"	0.050005
"restaurant chain"	0.0499229
"trading post"	0.0496465
bordello	0.0496203
"flea market"	0.0495584
"resort hotel"	0.0495581
"apartment building"	0.0494987
dealerships	0.0494257
Sheraton	0.0494236
"savings bank"	0.0492737
"railroad station"	0.0490463
"printing press"	0.0490204
campground	0.0489736
crematorium	0.048959
"sales outlet"	0.0489055
timberland	0.0486002
storefront	0.0484413
"storage room"	0.0484355
"theme park"	0.0482967
emporium	0.0482265
"boarding house"	0.0482164
rink	0.0482054
"truck stop"	0.0480278
"exercise equipment"	0.047867
bungalow	0.0477882
"dry cleaning"	0.0477575
landscaping	0.047686
"advertising agency"	0.0474583
"paper mill"	0.0474063
racetrack	0.0473588
orchard	0.0472049
"community newspaper"	0.0471666
"consulting company"	0.04716
nightspots	0.046918
daycare	0.0468796
houseboat	0.0468396
"Burger King"	0.0466302
ballroom	0.0464485
"brokerage house"	0.0461699
"medical center"	0.0460141
"kitchen table"	0.0457504
"computer business"	0.0457137
"recreational facility"	0.0457082
discotheque	0.0456958
townhouses	0.045602
))
("beauty shop" (desc 1256.01) (sims
"butcher shop"	0.143945
"beauty parlor"	0.139524
"liquor store"	0.123368
"food shop"	0.122367
"pizza parlor"	0.107563
"dry cleaner"	0.104195
bakery	0.102415
"dance hall"	0.0983481
"convenience store"	0.0925322
"clothing store"	0.0911126
saloon	0.0891948
"coffee shop"	0.0872879
"jewelry store"	0.0842143
"gas station"	0.0832707
"bowling alley"	0.0828987
teahouse	0.0825842
"entertainment center"	0.082461
"art gallery"	0.0823969
"retail store"	0.0815247
"toy store"	0.0809129
Supercenters	0.0807808
beautician	0.0794208
boutique	0.078943
"repair shop"	0.0786219
eateries	0.0784906
"Dairy Queen"	0.0779938
bookshop	0.0779309
bistro	0.0775515
"computer store"	0.0772497
deli	0.0766373
ballgames	0.076113
Pharmacy	0.074597
nightspots	0.0729059
"retail operation"	0.0728444
"gift shop"	0.0724883
parlor	0.0722527
podiatrist	0.071663
"soup kitchen"	0.0714315
coffeehouse	0.0700728
manicurist	0.0700376
"ticket office"	0.0694445
"gambling casino"	0.0693401
"hardware store"	0.0683413
"sales outlet"	0.0682124
spas	0.068091
"brokerage account"	0.0673555
Steakhouse	0.0668121
hairstylist	0.0654481
"car dealer"	0.065346
SPA	0.0645845
"day care center"	0.0644904
"beauty salon"	0.0629337
"shoe store"	0.0621683
"general store"	0.0619
Brasserie	0.06188
"service agency"	0.0617073
"movie house"	0.0613241
dispensary	0.0612975
"tea house"	0.0612348
"service station"	0.0611955
delicatessen	0.0605052
arcade	0.0602508
bed-and-breakfast	0.0601237
drugstore	0.0595642
multiplex	0.059003
"discount store"	0.0587784
gymnasiums	0.0584087
"Chez Panisse"	0.0580503
Spago	0.0578428
"B&AMP;B"	0.0577288
emporium	0.057722
tavern	0.056147
"recreational facility"	0.0558574
registrant	0.0554545
pawnshop	0.0553686
"funeral director"	0.0548583
canteen	0.0547829
"filling station"	0.0541069
Reel.com	0.0540042
"boarding house"	0.0538293
"gasoline station"	0.0534732
"community center"	0.0534567
"employment agency"	0.0530721
"botanical garden"	0.05304
"vocational school"	0.0528707
Hotlines	0.0527178
discotheque	0.0527122
"day camp"	0.0526249
lightbulb	0.051625
"application program"	0.0512923
gossiping	0.0510673
"bus line"	0.0507354
"brokerage house"	0.0505384
"distribution network"	0.0503638
"specialty store"	0.0503053
"house of worship"	0.049967
sawmill	0.049814
"flea market"	0.0497183
stoplight	0.0495231
barbershop	0.0489679
"chain store"	0.0489239
"retail chain"	0.0484161
"savings bank"	0.0481174
"nursery school"	0.0480926
junkyard	0.0480064
"recording studio"	0.0478474
superstore	0.0473734
"Saks Fifth Avenue"	0.0471828
classifieds	0.047159
"fund-raising drive"	0.0469371
"dairy farm"	0.0469157
"music school"	0.0468662
nightspot	0.0468187
hypermarket	0.0467558
"ball field"	0.0467099
"funeral home"	0.0465358
"soda fountain"	0.0464812
tearoom	0.0464438
florist	0.046433
dealerships	0.0463893
"trading post"	0.0461834
grocer	0.0461407
crematorium	0.0455094
adjuster	0.0453467
"credit bureau"	0.0450729
caterer	0.0450243
Jacuzzi	0.0449961
coven	0.0448402
"publishing company"	0.0446155
Haney	0.0446136
slaughterhouse	0.0443945
"gasoline pump"	0.0435985
"love seat"	0.0435793
"domed stadium"	0.0434778
hostel	0.0433115
"conference center"	0.0432054
Mapes	0.043072
campgrounds	0.043017
macro	0.0427874
nightlife	0.0427074
"numbers game"	0.042636
sauna	0.0426073
"Radio City"	0.0425864
"UNIX operating system"	0.0425335
Renee	0.0421103
"ski lift"	0.0421016
thrift	0.0420863
hairdresser	0.0418232
goldenrod	0.0418229
pizzeria	0.0417835
"line of products"	0.0417483
"utility program"	0.0416344
"investment house"	0.0415794
Britten	0.0415417
"point system"	0.0413432
"movie studio"	0.0410724
"insurance agent"	0.0410627
e-tailers	0.0409986
forklift	0.0409791
"medical institution"	0.0408958
"trust company"	0.0408124
resellers	0.0407202
"ballet company"	0.040705
crusher	0.0404908
"insurance business"	0.0404824
"branch office"	0.0404074
"Deer Valley"	0.0403877
"hotel manager"	0.0401287
))
(Beauvoir (desc 1543.81) (sims
"Samuel Beckett"	0.0804979
Sade	0.0783335
Heade	0.0769388
"Gertrude Stein"	0.0729926
Borbon	0.0726571
Kafka	0.0707016
Proust	0.0646093
"Langston Hughes"	0.064309
"T.S Eliot"	0.0628385
Saint-Exupery	0.0627921
Eichmann	0.0624602
Hoch	0.0624386
Bruijn	0.0614795
Chao	0.0590863
Sargent	0.058557
Carrera	0.0578305
Klerk	0.0576535
Blackmun	0.0575618
Theroux	0.0569245
Chappell	0.0568807
"Saul Bellow"	0.0568688
"Ralph Ellison"	0.0559446
"Anne Frank"	0.0556491
Eubanks	0.0554318
Puzo	0.0554018
Chardin	0.0553314
Myhrvold	0.0548112
Camus	0.0546795
"Pablo Picasso"	0.0540619
Allchin	0.0537742
Truffaut	0.0536822
Rabe	0.0534977
Edson	0.0534623
Klemperer	0.0527074
Holzman	0.0525592
SJC	0.0525523
"La Salle"	0.0524744
Jong	0.0523488
"Vladimir Nabokov"	0.0520716
Dali	0.0520278
Boer	0.0500556
Kooning	0.0497642
"light touch"	0.049401
Thoreau	0.0491053
Dubus	0.0490169
OCA	0.0487717
"Virginia Woolf"	0.0487181
Rendell	0.0486392
Vonnegut	0.0483522
Kodikian	0.0482688
Beckett	0.0482658
Salinger	0.0482198
espana	0.0481717
Zapata	0.0480576
Barros	0.0472792
Brasil	0.0471149
Hamill	0.0470142
Plath	0.046866
Gaulle	0.0467515
Goff	0.0466031
Alexie	0.0465738
Junger	0.0463519
Mello	0.0461778
Lamberth	0.0460619
Villar	0.0458451
Vina	0.0458409
Julio	0.0457304
Bel	0.0456988
"Tennessee Williams"	0.0456829
"John Irving"	0.0455203
Heaney	0.0454636
Harbison	0.0454549
Krugman	0.0453695
Conroy	0.0452114
SAL	0.0448325
Borges	0.0448207
Shurmur	0.0441748
Casas	0.0441056
Naipaul	0.0438049
Guralnick	0.0437735
Cramer	0.043621
Keegan	0.0435606
Goldin	0.0433933
"Football Association"	0.0433711
Greenwald	0.0429897
Englishwoman	0.0429693
Heredia	0.0429583
"Henry James"	0.0428945
Hirst	0.0428182
Spellman	0.042669
Bliley	0.0426247
Rudman	0.0425843
Leuchter	0.042468
Mucha	0.0424192
Balzac	0.042268
Oro	0.0422036
Cristina	0.0421266
Simone	0.0420955
Macoris	0.0420702
"Alice Walker"	0.0420476
Postel	0.0419475
essayist	0.0419397
Maritz	0.0418659
Faulkner	0.0416774
Rosenthal	0.0416434
"Minas Gerais"	0.0416248
Avila	0.041492
Oliveira	0.0413694
"Oscar Wilde"	0.0412188
Welles	0.0411684
Celestine	0.0411076
Reznor	0.0410682
McKenna	0.0409306
Hazelwood	0.0408415
Marx	0.0407207
Benitez	0.0403607
HELLER	0.040338
Ogilvy	0.0403126
Sommer	0.0401543
Sobel	0.0401178
Cr	0.0400126
))
("beaux arts" (desc 3507.05) (sims
"art deco"	0.157648
"Greek Revival"	0.145758
Deco	0.138742
"Art Nouveau"	0.132441
gothic	0.0991412
Louvre	0.0936433
Bauhaus	0.0931983
"Gilded Age"	0.0863895
"Champs Elysees"	0.0861805
"Left Bank"	0.0830065
oceanfront	0.078833
two-story	0.0782103
"Queen Anne"	0.0701888
"free form"	0.0689138
minimalist	0.0675076
"Old World"	0.0646353
honeycomb	0.0641169
"Hyatt Regency"	0.0619102
des	0.0593154
CAC	0.0575005
lakeside	0.0570464
"cast iron"	0.0566095
"wedding cake"	0.0565729
"laissez faire"	0.0562053
sandstone	0.0561518
Tudor	0.0560958
take-no-prisoners	0.0555415
Ottoman	0.0548801
glitzy	0.0538415
stucco	0.0524152
Champs-Elysees	0.051099
bare-bones	0.0509144
beachfront	0.0507677
multilevel	0.0503168
rebuilt	0.0500616
"Corcoran Gallery"	0.0497129
spiffy	0.0492899
limestone	0.0487758
amis	0.047898
Farley	0.0476717
Sheraton	0.0465696
Krishna	0.0465634
"CAC @@"	0.0459129
"terra cotta"	0.0458542
lakefront	0.0453359
Sorbonne	0.0453068
"Mandalay Bay"	0.0449862
Brasserie	0.0438801
hilltop	0.0438634
haute	0.0435555
"High Museum of Art"	0.0430607
ritz	0.0429071
uptempo	0.0425973
"Bel Air"	0.0425358
"open air"	0.0422015
"picture postcard"	0.0421852
Seine	0.0420866
contrarian	0.0420251
"German Embassy"	0.0418728
"Empire State"	0.0415258
Midtown	0.0412585
"Museum of Natural History"	0.0411822
Omni	0.0409922
kitschy	0.0408682
"matinee idol"	0.0408141
Stroganoff	0.0408067
brownstone	0.0405603
world-famous	0.0400057
))
(beaver (desc 11137.5) (sims
raccoon	0.153085
otter	0.124736
bobcat	0.120329
deer	0.113983
squirrel	0.111313
Boilermakers	0.108059
lynx	0.103856
owl	0.101325
badger	0.101147
coyote	0.100646
cougar	0.0994707
gamecock	0.0962504
mink	0.0958573
skunk	0.0953355
grizzly	0.0912398
Hawkeyes	0.089917
NAU	0.0881314
"black bear"	0.0864638
husky	0.0862933
Sooners	0.086
"Tar Heels"	0.0856228
geese	0.0855739
BEARS	0.0850791
bulldog	0.0849841
rabbit	0.0849688
Longhorn	0.0837963
buckeye	0.0809865
Lobos	0.080761
Buffaloes	0.0806038
wildcat	0.0803902
tiger	0.079931
duck	0.0787172
Wolfpack	0.07842
elk	0.078187
Wolverine	0.0776479
alligator	0.0774822
"Red Raiders"	0.0773194
"Fighting Irish"	0.0772434
Eagles	0.0761336
dolphin	0.0761003
Gators	0.0755346
"Nittany Lions"	0.0754308
Minutemen	0.0743226
bearcat	0.074091
Seminoles	0.0737036
Spartan	0.0731605
lion	0.0720835
panther	0.0717546
"Red Storm"	0.0716469
falcon	0.0716302
gopher	0.0715239
Timberwolves	0.0709932
"bald eagle"	0.0708656
Aggies	0.0701185
terrapin	0.0696297
Trojan	0.0696249
wolf	0.06959
matador	0.0695878
frog	0.0695744
Starzz	0.0695398
cormorant	0.0691405
moose	0.0686725
"mountain lion"	0.0677865
"Crimson Tide"	0.0676938
bruin	0.0675302
"blue devil"	0.0671381
Lehigh	0.066827
"Kansas State"	0.0667451
Huskers	0.0667391
boar	0.0666358
Hokies	0.0664343
Jayhawks	0.0660612
Cornhusker	0.0659852
raider	0.065858
Razorback	0.065795
cavalier	0.0655912
leopard	0.0653726
Hornet	0.0652274
Hoosier	0.0651239
Vols	0.0644761
porcupine	0.0644004
pacer	0.0637089
packer	0.0634654
Kile	0.0631098
"yellow jacket"	0.0631062
turtle	0.062968
Illini	0.0629517
Bucs	0.0628052
rat	0.0624628
"wild boar"	0.0618242
blazer	0.0614087
Raven	0.0613504
CAT	0.0609564
Redskin	0.0609169
Hoya	0.0607375
Jaguar	0.0606321
"Mississippi State"	0.0606181
bronco	0.0603945
UAB	0.0601822
"sea lion"	0.0600248
"San Jose State"	0.0599564
"peregrine falcon"	0.059867
monkey	0.0594867
BUCCANEER	0.0593597
"Oregon State"	0.0592861
bird	0.0592742
Steelers	0.0592048
UConn	0.0589951
Viking	0.0589214
possum	0.0588873
snake	0.0587143
Pepperdine	0.0585847
MetroStars	0.0585624
Cal	0.058472
heron	0.0583726
UMass	0.0582623
"giant panda"	0.0581003
elephant	0.0580914
hawk	0.0580115
clipper	0.0579633
cowboy	0.0578274
Sorensen	0.0578155
piston	0.05779
Baylor	0.057721
"Golden Hurricane"	0.0576676
"Tennessee Titans"	0.0576136
LSU	0.0575784
"Trail Blazers"	0.0574654
Sasser	0.0574187
panda	0.0573555
Rattler	0.0573168
Mustang	0.0572717
maverick	0.0572225
"Scarlet Knights"	0.0571044
"Virginia Tech"	0.0569496
"grizzly bear"	0.0569318
"Ohio State"	0.056882
"red deer"	0.056836
"Iowa State"	0.0566554
Seahawks	0.0566432
whale	0.0565298
lumberjack	0.0560024
comet	0.055812
Gonzaga	0.0557165
oiler	0.0556117
quail	0.0555034
Rutgers	0.0548876
"Texas Tech"	0.0548377
"Dallas Cowboys"	0.0547171
ASU	0.0546083
Fox	0.0545508
Kenseth	0.0545133
CSUN	0.0543183
Sonics	0.0542624
cardinal	0.0540434
hedgehog	0.0539675
Weasel	0.0539038
charger	0.0538641
Clemson	0.0538149
Giants	0.0537557
Purdue	0.053746
"Penn State"	0.0535255
Gator	0.0533576
titan	0.0533401
Sparks	0.0533362
insect	0.0532149
"Seton Hall"	0.0530392
"New York Liberty"	0.0530076
Stephenville	0.0529444
pigeon	0.0528957
"Philadelphia Flyers"	0.052748
Roach	0.0525846
ant	0.0524778
"Florida State"	0.0524005
bull	0.0521866
SMU	0.0520819
ram	0.0520786
"New York Giants"	0.0518889
Bengals	0.0518745
goose	0.0518092
"killer whale"	0.051762
rhinoceros	0.0517145
Harbaugh	0.0516884
rodent	0.0516586
predator	0.0516282
TCU	0.0515547
Stanford	0.0515349
"Chicago Bulls"	0.0514803
"Denver Broncos"	0.0514347
Flores	0.0514259
pirate	0.0513673
Knicks	0.0511702
Orangemen	0.0510366
McCullough	0.0509427
"Louisiana Tech"	0.0508102
Irish	0.0507834
loon	0.0506913
Hofstra	0.0506187
pig	0.0505801
marshall	0.0505531
))
(Beavis (desc 2129.72) (sims
"The Sopranos"	0.0964757
"Family Guy"	0.0909184
Futurama	0.0882559
Dilbert	0.0860089
"Toy Story"	0.0809631
"Murphy Brown"	0.0765887
"South Park"	0.0754091
Simpsons	0.0712794
"Star Trek"	0.0661856
"Cosby Show"	0.0641806
"chicken run"	0.0608313
"Princess Mononoke"	0.0584645
VH-@	0.0583756
"Twin Peaks"	0.0579598
Rugrats	0.0550982
Myst	0.0549403
Babylon	0.0538009
"Sesame Street"	0.0535309
boob	0.0522057
Antz	0.0519953
"Melrose Place"	0.0518564
"Titan A.E."	0.0516334
Falcone	0.0506261
"Sports Night"	0.0498696
"Chicago Hope"	0.0494212
"Jar Jar"	0.0489254
Teletubbies	0.0481571
lassie	0.0480663
"Law &AMP; Order"	0.0472627
"Love Bug"	0.0471482
"Nash Bridges"	0.0468609
Muppets	0.0461319
superheroes	0.0458313
"Third Watch"	0.045733
Gunsmoke	0.0449132
"Love Boat"	0.0439685
fisticuffs	0.0437562
Kat	0.0435382
glamor	0.0434901
"Home Improvement"	0.0428662
prequel	0.0426916
Buffy	0.042608
Cosby	0.042289
Scoonie	0.0422102
"Inspector Gadget"	0.0420777
"situation comedy"	0.0419352
Frankenstein	0.0417786
Ren	0.0415697
Alicea	0.0415052
nigger	0.0414563
Winnie	0.0410365
"Trey Parker"	0.0409312
Baywatch	0.0406928
Meggett	0.0406088
"Drew Carey Show"	0.0405026
Nilsson	0.0404709
"Indiana Jones"	0.0400649
))
(Beazley (desc 788.053) (sims
Ruehe	0.216438
Advani	0.182217
Ikeda	0.171267
Wenger	0.161759
Aventajado	0.161489
Flanagan	0.159851
Orban	0.159106
Kok	0.156785
Demaci	0.146246
Goldin	0.145467
LaPierre	0.14485
Tsang	0.143738
Singson	0.14275
Schuessel	0.142129
Guterres	0.141208
Lafleur	0.140661
Burleigh	0.137655
Rossotti	0.136536
Verney	0.135254
Prewitt	0.134834
Nasrallah	0.134039
Indyk	0.13335
Velayati	0.13331
Sergeyev	0.132716
Grasso	0.132433
Harmoko	0.131625
Sheehan	0.131473
Cem	0.13126
Scharping	0.130468
Lehane	0.130362
Waigel	0.129183
Zhirinovsky	0.129011
Ruggiero	0.127857
Daft	0.1275
Zuma	0.127166
Hauser	0.126698
Kyprianou	0.12649
Ebersol	0.126468
Lari	0.125988
Constantinescu	0.125831
Seselj	0.124781
Carollo	0.124442
Wolfson	0.124432
Portillo	0.124426
Azad	0.123559
Alatas	0.123321
Reimer	0.121984
Dini	0.121771
Azizah	0.121476
Kennard	0.121345
Zadornov	0.121297
Alarcon	0.121297
Iliescu	0.119999
Kharrazi	0.119788
Kasyanov	0.119673
Rongen	0.119062
Skiles	0.118574
Schrempp	0.118451
Lipponen	0.118367
Markovic	0.118319
Kornberg	0.118285
Surin	0.118225
Rais	0.117932
Summitt	0.117823
Sakakibara	0.117577
Fernandes	0.116839
Siazon	0.116737
Beilin	0.116217
Wagoner	0.116201
Piot	0.116062
Rove	0.115787
ISSEL	0.115786
Jauron	0.115402
Bellamy	0.115048
Diouf	0.114941
McCurry	0.114713
Holl	0.114641
Napolitano	0.114032
Sumaye	0.113902
Braswell	0.113287
Wilhelm	0.113178
Narayanan	0.11308
Moratinos	0.113062
Troussier	0.113018
Charest	0.112571
Beckwith	0.111887
Neeman	0.111471
Ouattara	0.111326
Tarrin	0.111297
Jayakumar	0.110927
Strauss-Kahn	0.110627
Insulza	0.11046
McKinnon	0.110455
Zucker	0.110109
Gullikson	0.109606
Izetbegovic	0.109497
Schaeuble	0.109212
Ikimi	0.10866
Vance	0.108572
Yastrzhembsky	0.108372
Reinhardt	0.108198
Dodik	0.108182
Abdel-Meguid	0.107937
Finkel	0.107794
Cota	0.107693
Pangalos	0.107691
Echols	0.107686
Bulatovic	0.107555
Sorensen	0.107295
Ciampi	0.107227
Khalil	0.106886
Pustovoitenko	0.106702
Valenti	0.106511
Kupchak	0.106396
Constantine	0.105737
Koskinen	0.105668
Nemtsov	0.10549
Gossage	0.105276
Hodler	0.105267
Kono	0.105019
Geiger	0.104883
Luzhkov	0.104769
Malu	0.104761
Fieger	0.104576
Shareh	0.104145
Kumar	0.104087
Massey	0.10405
Brittan	0.103958
McInnis	0.103463
Erekat	0.103319
Ogata	0.10311
Tuberville	0.102845
Lowery	0.102844
Ecevit	0.102774
Siegelman	0.102407
Moonves	0.102386
Bildt	0.102195
Grachev	0.102091
Manley	0.10198
Komura	0.101699
Maldini	0.101657
Saleh	0.101175
Muluzi	0.100884
Sperling	0.100728
Stoyanov	0.100658
LeBlanc	0.100541
Blatter	0.100468
Naumann	0.100201
Billick	0.100188
Xiang	0.100148
Patten	0.0997645
Shipley	0.0997042
Bruton	0.0996277
Marulanda	0.0993959
Ivanov	0.0992876
Maslyukov	0.098914
Lamont	0.0986763
Sharansky	0.0985234
Jacquet	0.0983713
Ahern	0.0983612
Peretz	0.0982782
MIYAZAWA	0.0978721
Jovanovic	0.097818
Gosper	0.09772
Mowlam	0.097687
Condit	0.0976373
Kyl	0.0974221
Milutinovic	0.0967728
Cooley	0.0964641
Jobe	0.0963017
Koirala	0.096062
Caddell	0.0960034
Cui	0.0959021
Shevardnadze	0.0959021
Aleman	0.0958716
Rothenberg	0.0957621
"Orlando Mercado"	0.0957298
McLane	0.0952576
Soderbergh	0.0951762
Quintana	0.0950525
Chavalit	0.0948983
Rifkind	0.0947667
capella	0.0947459
Kasoulides	0.0946392
Steiner	0.0944088
Domenici	0.0943749
Lockyer	0.0940875
Fino	0.0934547
Klima	0.0934116
Bustamante	0.0932166
Masire	0.0931543
Bonner	0.0929199
Jenoff	0.0928724
Aliyev	0.092818
Eyadema	0.0925109
Rashid	0.0924241
Hirschbeck	0.0923926
Nebiolo	0.0923612
Akayev	0.092062
Zambrano	0.0919495
))
("Bebe Neuwirth" (desc 2146.15) (sims
"Joe Mantegna"	0.105172
"Don Cheadle"	0.103693
"Mira Sorvino"	0.102472
"John Leguizamo"	0.0924968
"Adrien Brody"	0.081944
"Winona Ryder"	0.0816491
Zeta-Jones	0.0792143
"Shirley MacLaine"	0.0683605
"Kenneth Branagh"	0.0597732
"Kirk Douglas"	0.0588741
"Laurence Fishburne"	0.0584755
"Carol Burnett"	0.0583956
"Tracey Ullman"	0.0557291
"Catherine Deneuve"	0.0550903
"Famke Janssen"	0.0542023
"Stockard Channing"	0.0530066
"Julie Andrews"	0.0519859
"Humphrey Bogart"	0.0518006
"Catherine Zeta-Jones"	0.0514875
"Michael Douglas"	0.0504883
"Woody Harrelson"	0.0501825
"Parker Posey"	0.0488313
"Bernadette Peters"	0.0486831
"Sean Penn"	0.0478065
"Charlize Theron"	0.0475918
Ritchie	0.047378
"William Hurt"	0.0469579
"Anjelica Huston"	0.0467207
"Dan Aykroyd"	0.0465949
"Robert Reich"	0.0462797
"Liam Neeson"	0.0455123
"Sammy Davis Jr."	0.0451885
"Martina McBride"	0.0444497
"Tim Robbins"	0.0443925
"Halle Berry"	0.0428876
"Bill Pullman"	0.0428634
"Richard Gere"	0.0419249
"Gabriel Byrne"	0.0414629
"Sidney Poitier"	0.0408945
"Dennis Franz"	0.0406906
"Trisha Yearwood"	0.0404676
"DON JOHNSON"	0.0400789
Tendulkar	0.0400211
))
(Bebeto (desc 5494.56) (sims
Rivaldo	0.286867
Romario	0.274297
Edmundo	0.268446
Denilson	0.268292
Cafu	0.265251
"Roberto Carlos"	0.231294
Dunga	0.210967
"Cesar Sampaio"	0.19279
Ronaldo	0.191071
"Juergen Klinsmann"	0.187807
"Roberto Baggio"	0.184143
Juninho	0.184008
Giovanni	0.17574
"Davor Suker"	0.172521
Batistuta	0.171888
Leonardo	0.168015
Aldair	0.16689
Baggio	0.165562
"Gabriel Batistuta"	0.160505
"Hao Haidong"	0.154193
Zico	0.144865
"Ian Wright"	0.13989
"Michael Laudrup"	0.137787
"George Weah"	0.136962
"Dennis Bergkamp"	0.136644
"Harry Kewell"	0.136276
"Alen Boksic"	0.133631
"Youri Djorkaeff"	0.132817
"Ivan Zamorano"	0.130265
Bergkamp	0.120828
"Alan Shearer"	0.120633
Vieri	0.119988
"Brian Laudrup"	0.119047
"Luis Figo"	0.117425
Welton	0.11742
"Hidetoshi Nakata"	0.117089
"Faustino Asprilla"	0.115983
Suker	0.114561
"Junior Baiano"	0.113657
"Oliver Bierhoff"	0.113656
"Gheorghe Hagi"	0.112327
"Nwankwo Kanu"	0.109652
"Eric Wynalda"	0.109137
"Patrick Kluivert"	0.10867
"Adrian Ilie"	0.107654
"Ali Daei"	0.106677
"Predrag Mijatovic"	0.10577
"Luis Hernandez"	0.105505
"Sun Wen"	0.105477
Salas	0.105131
"Mia Hamm"	0.103483
"Khodadad Azizi"	0.103469
"Fabrizio Ravanelli"	0.102838
"Hristo Stoichkov"	0.102554
"Tore Andre Flo"	0.100018
"Dejan Stankovic"	0.0998765
Taffarel	0.0984936
Zidane	0.0983936
"Raul Gonzalez"	0.0983171
"Marcelo Salas"	0.0977419
"Thierry Henry"	0.0976153
"Eric Cantona"	0.097128
Sissi	0.0958911
"Zinedine Zidane"	0.0946217
"David Trezeguet"	0.0928251
"Stan Collymore"	0.0927563
"Hernan Crespo"	0.0911816
"Christian Vieri"	0.0908317
"Raul Diaz Arce"	0.0896115
"Alessandro Del Piero"	0.0882584
"Carlos Hermosillo"	0.0879714
"Wang Tao"	0.0879284
"Nicolas Anelka"	0.0877827
"Del Piero"	0.0877354
"Cindy Parlow"	0.0874949
"Paolo Di Canio"	0.0862633
"Fan Zhiyi"	0.0860406
Pele	0.0854353
"Hu Weidong"	0.085377
"David Beckham"	0.0853655
"Joe-Max Moore"	0.0845103
"Claudio Lopez"	0.0839032
"Ariel Ortega"	0.0831349
"Michael Owen"	0.0830171
"Dejan Savicevic"	0.0816574
"Kenyon Martin"	0.0816549
"Dwight Yorke"	0.081516
Emerson	0.0807608
"Filippo Inzaghi"	0.0806339
"Chris Porter"	0.0801737
"Ulf Kirsten"	0.0801574
"Enrico Chiesa"	0.0796858
"Kristine Lilly"	0.0793881
striker	0.0791153
"Stern John"	0.0785644
Bierhoff	0.078076
Chilavert	0.0780116
Zamorano	0.0777236
"Lothar Matthaeus"	0.0777037
"Robert Prosinecki"	0.076615
Anelka	0.0758495
"Cobi Jones"	0.0754816
Djorkaeff	0.0748224
"Teddy Sheringham"	0.0743581
"Diego Maradona"	0.0739121
"Roy Lassiter"	0.0730991
"Jumaine Jones"	0.0724453
"Andy Cole"	0.0717724
"Brett Hull"	0.0717059
"Gianfranco Zola"	0.0711426
"Mike Keane"	0.0710172
"Tiffeny Milbrett"	0.0709967
"Ante Razov"	0.070907
"Ron Artest"	0.0708413
Yzerman	0.0707197
"Gianluca Vialli"	0.0703676
"Carlos Valderrama"	0.0701367
"Robbie Fowler"	0.0700111
"Pavol Demitra"	0.0698122
"Michelle Akers"	0.0692323
"Tony Amonte"	0.068953
"Ole Gunnar Solskjaer"	0.0689357
"Christophe Dugarry"	0.068136
"Jaromir Jagr"	0.067883
Leetch	0.0673893
midfielder	0.0673669
"Miroslav Satan"	0.0670762
"Guy Carbonneau"	0.067005
Hagi	0.0666282
"ZIGMUND PALFFY"	0.0663775
Klinsmann	0.065489
Tkachuk	0.0652917
"Mark Williams"	0.0649582
Reichel	0.0648897
Kealy	0.064829
Primeau	0.0644296
"Keith Van Horn"	0.0640816
"Clint Mathis"	0.0638674
"Sean Elliott"	0.0638014
"Brian McBride"	0.0637711
"Tamika Catchings"	0.0637275
"Rebecca Lobo"	0.0637044
"Wang Zhizhi"	0.0635905
"Matt Bullard"	0.0633495
"Brandi Chastain"	0.063227
Yashin	0.0630448
Akers	0.0629573
Laudrup	0.0627676
Matthaeus	0.0627484
"Jamie Feick"	0.0627147
Shearer	0.0626204
"Robert Pires"	0.0625188
"Emmanuel Petit"	0.0624649
"Ruud Gullit"	0.0623267
"A.C. Green"	0.062176
Nedved	0.0621469
Zolak	0.0620723
Donato	0.0620597
Graziani	0.062058
Chastain	0.0620402
"Thomas Haessler"	0.0618135
"Yao Ming"	0.0617778
"Kirk Muller"	0.0617575
"Doug Pederson"	0.0614712
"Teemu Selanne"	0.0614533
"Ziggy Palffy"	0.0614058
"Paul Gascoigne"	0.0611272
"Grant Long"	0.0607513
Owen	0.0606853
Kluivert	0.0603344
"Mike Miller"	0.0603095
LeClair	0.0600163
"Dirk Nowitzki"	0.0599404
Gorter	0.0595276
"Ryan Giggs"	0.05944
Detmer	0.0591194
Hooper	0.0589374
Andreychuk	0.0588034
Baba	0.0587263
"Morris Peterson"	0.0585155
Gugliotta	0.0584706
Sykora	0.0582538
"Luc Robitaille"	0.0580745
"DeLisha Milton"	0.0580371
Barrie	0.0578913
"Lee Nailon"	0.0578456
Savarese	0.0577764
"Buck Williams"	0.0577396
"Vinny Testaverde"	0.0575081
Milbury	0.0574983
Hamm	0.0574257
Maradona	0.057328
Kariya	0.0572726
Fizer	0.0571968
"Todd Harvey"	0.0569536
Furcal	0.0569124
"Claude Lemieux"	0.0569052
"Paul Pierce"	0.0568432
"Mario Stanic"	0.0565478
"Phillip Cocu"	0.0565469
))
(bebop (desc 2162.9) (sims
Reggae	0.152812
bluegrass	0.141657
Zydeco	0.135567
bop	0.128534
"big band"	0.124698
"R&AMP;B"	0.121421
rhythm-and-blues	0.120927
klezmer	0.110781
"rock 'n' roll"	0.101476
"Tin Pan Alley"	0.0958649
"modern dance"	0.0946145
calypso	0.0887532
"dance music"	0.0853881
Motown	0.0838007
mariachi	0.082975
mambo	0.0823267
Latin	0.0818289
gospel	0.0809663
electronica	0.0792707
uptempo	0.0790984
techno	0.0789283
"folk music"	0.0763658
honky-tonk	0.0747808
glam	0.0745544
Funk	0.0719813
"popular music"	0.0718002
salsa	0.070408
flamenco	0.0672703
rock-and-roll	0.066286
grunge	0.066277
singsong	0.0658272
"Beach Boys"	0.0638236
NOVA	0.0603394
streetwise	0.0593771
"country music"	0.0593009
"silent movie"	0.0590869
Beatles	0.0589492
"classical music"	0.0572863
ragtime	0.0570577
"avant garde"	0.056959
fusion	0.0566542
rom	0.0553538
retro	0.0547437
Bauhaus	0.054198
disco	0.0536803
Provencal	0.0536456
Afro-Cuban	0.0535609
SKA	0.05212
two-step	0.0520614
"musical theater"	0.0517189
Zen	0.051514
"Jerry Garcia"	0.0514016
"dust bowl"	0.0510413
"Cole Porter"	0.0503209
saxophone	0.0501771
polka	0.0501118
"pop music"	0.0499347
"Burt Bacharach"	0.0498597
"Patsy Cline"	0.0497876
"rock and roll"	0.0483906
"New Democrat"	0.0480682
"laissez faire"	0.0479697
vaudeville	0.0476662
cabaret	0.0475697
Maoist	0.0471293
"New Age"	0.0470658
merengue	0.0466549
wailing	0.0466244
"art deco"	0.0460817
"steam engine"	0.0454443
Sandinista	0.0454347
bungee	0.0453322
perestroika	0.0452967
cappella	0.0452168
"old country"	0.0450751
samba	0.0437094
hippie	0.043263
Gershwin	0.0428086
"classical ballet"	0.0422255
Cajun	0.0420483
yuletide	0.0418354
espanol	0.0414755
steamboat	0.0412412
"Duke Ellington"	0.0410602
oldies	0.0410031
Pigskin	0.0408866
Brecht	0.0407489
"chamber music"	0.040319
"memory loss"	0.0402347
ninja	0.0401745
))
(Because (desc 1161.51) (sims
becuase	0.0757193
BSE-@@@	0.0585058
"fifth minute"	0.0557944
premonition	0.0551002
"second minute"	0.0537507
"third minute"	0.053595
"Isaac Mizrahi"	0.0533146
Geiger	0.05301
flareup	0.0509813
Twenty-five	0.0500878
"magnetic resonance imaging"	0.0483812
recurrence	0.0479794
whomever	0.047067
complained	0.0470367
aftereffect	0.0467151
"general practitioner"	0.0464394
aggravation	0.0460994
Bostonian	0.0456425
"public exposure"	0.0451491
acknowledgement	0.0447233
Pudge	0.0445242
"sneak preview"	0.043891
Laperriere	0.0431605
Mustafa	0.0427081
Grbac	0.0423935
"first moment"	0.0421638
"Sleepy Hollow"	0.0419772
three-meter	0.0417549
"dog days"	0.041585
brunt	0.0415039
fief	0.0414607
Solis	0.0413605
"Varsity Blues"	0.0410847
"rest day"	0.0409329
goaltenders	0.0408192
"Mark Williams"	0.0406456
lessening	0.0404574
"market expectation"	0.0404095
"British Foreign Office"	0.0402899
"first minutes"	0.0400289
))
(Bech (desc 1763.98) (sims
Spenser	0.0943921
Tintin	0.0897303
Vonnegut	0.0827031
Posner	0.0794701
Grisham	0.0771463
Gutman	0.07603
Scarpetta	0.0707925
Puzo	0.0699058
Gorey	0.0696419
Gertrude	0.0673403
Harr	0.0668962
Neff	0.0668017
Carlin	0.064773
"Harry Potter"	0.0636279
Naipaul	0.0631884
Solzhenitsyn	0.0617986
Sheehy	0.0616663
Rowling	0.0612126
MALICK	0.0610471
"Edmund Morris"	0.0608336
IDG	0.0607863
Burroughs	0.0606596
Susann	0.0599413
"Gore Vidal"	0.0592496
Lansky	0.0588244
Carre	0.0582705
"Elmore Leonard"	0.0580869
Intimidator	0.0580248
Junger	0.0576381
Silverstein	0.0574112
Huffington	0.0562407
Jovanovic	0.0558721
Sade	0.0552242
Bonanno	0.0549784
Hirsch	0.054699
"big cat"	0.0544847
Postel	0.0544511
Hemingway	0.0542968
Halberstam	0.0540955
potter	0.0538041
Echols	0.0537086
Felton	0.0536852
Gielgud	0.0535415
Bryson	0.0532409
Paulie	0.0532326
Braugher	0.0531015
Fuhr	0.0528849
Remnick	0.052811
gonzo	0.0525553
Dunne	0.0525289
Hoffman	0.0524006
Northup	0.052397
Borges	0.0522019
Benigni	0.0519742
"Don Juan"	0.051961
Purdy	0.0513712
Hamill	0.0510929
Rehnquist	0.0509329
"New Testament"	0.0505723
MacDonald's	0.0504803
McCourt	0.0503341
Sartre	0.050332
Heaney	0.0502112
Saramago	0.0499842
Austen	0.0499652
storey	0.0499204
Fuhrman	0.049617
audubon	0.0494277
sf	0.0494057
Steinbeck	0.0491784
Ambrose	0.049086
Cleese	0.0490803
McEwan	0.0490607
Chebet	0.0490546
"Patsy Ramsey"	0.0489683
Galbraith	0.0487801
McNally	0.0486123
"computer programming"	0.0485628
Proust	0.0484787
MAMET	0.0484468
Mahoney	0.0481693
"George Carlin"	0.0481595
Castaneda	0.0480813
Alexie	0.0478019
Faulkner	0.0477163
Sibley	0.0477149
folio	0.0476174
supplicant	0.0474611
Meeks	0.0473727
"Jane Austen"	0.0469099
"Billy Crystal"	0.0468953
Morton	0.0466899
Krugman	0.0465193
Theroux	0.0464258
"J.K Rowling"	0.046363
"Warren Beatty"	0.0462741
"Get Real"	0.0459088
Shriver	0.0456772
hodgson	0.0456431
Adler	0.0456336
Hinckley	0.0455909
"Tom Wolfe"	0.0454603
Clements	0.0453767
Cline	0.0453451
Rivlin	0.0452057
Lipponen	0.0451684
Ramona	0.0451397
Tevanian	0.0450616
Pollack	0.0449652
Wilder	0.0449589
McKenna	0.0449358
Blondie	0.0448717
McPhee	0.0448383
Weil	0.0448196
nonfiction	0.0446459
Ershad	0.0445774
wretch	0.04452
Seuss	0.0445164
Rushdie	0.0445139
Edson	0.0444849
Guinness	0.0442905
Loewen	0.0442846
Spence	0.0442617
hieroglyphic	0.0442255
Muller	0.0442239
Nabokov	0.0441634
TR	0.044084
looker	0.0440829
Mayberry	0.0440024
"Public Affairs"	0.0439733
Jayakumar	0.0438611
"Blair Witch"	0.0438422
Singh	0.0438195
Updike	0.0437983
Weiner	0.0435779
"Monty Python"	0.0435005
Leopold	0.0432159
"Jackie Chan"	0.043097
"Virginia Woolf"	0.0430281
McAlister	0.0428324
Rubenstein	0.0426858
"Modern Library"	0.0425144
scattershot	0.0425048
census-takers	0.0424576
Klemperer	0.0424553
Grossman	0.0423707
Trudeau	0.04234
Kafka	0.0423384
"Catherine Deneuve"	0.0422796
"Pierce Brosnan"	0.042264
LeBlanc	0.0422123
Harrell	0.0422005
McNamara	0.0420788
Goff	0.0420673
"bird watcher"	0.0418711
Holley	0.0417987
Oppenheimer	0.041777
Spock	0.0417567
"Lara Croft"	0.0417248
"Comrade Jiang Zemin"	0.041436
Ogilvy	0.0413104
Plath	0.041246
Woolley	0.0411574
Gould	0.0411343
Bochco	0.0411276
"Home Run Derby"	0.0410923
Pooh	0.0410714
Sobel	0.0410219
"chicken soup"	0.0410089
Welty	0.0408379
Berkley	0.0408189
Nathaniel	0.0408007
"Fast Company"	0.0407565
Melville	0.0407029
Kwan	0.0406918
Hersh	0.0406409
Schiller	0.0406137
"William Shakespeare"	0.0404655
Isikoff	0.0403733
Horowitz	0.0403016
Z	0.0402818
Vidal	0.0401436
Tyler	0.040127
adopters	0.0400367
REEVE	0.0400317
Berra	0.0400042
))
(Bechtel (desc 1116.61) (sims
Nanula	0.113349
PTT	0.0983705
McGinn	0.0965654
Zagat	0.0963222
Haney	0.0933321
Exxon-Mobil	0.0894715
"La Mont"	0.0887403
Whipple	0.0876824
Puzo	0.0841153
Tarver	0.0815504
"British Petroleum"	0.0796741
Kagalovsky	0.0790998
"De Klerk"	0.0784151
Horowitz	0.0770336
Bellush	0.0765937
Neulander	0.0757684
Hersh	0.0750533
Grasso	0.0741524
Mukora	0.0736264
Ghani	0.0729296
Soto	0.072236
Alcorn	0.072182
"Southern Co."	0.0719023
Bidwill	0.0718935
Autry	0.0716184
Sund	0.0709318
Flaherty	0.0706998
Hess	0.0704142
"Emanuel Steward"	0.0701046
"Northrop Grumman"	0.0698727
Conoco	0.0695115
Petersen	0.0695039
Logue	0.0681294
Kimes	0.0678061
Hiett	0.0674239
ARCO	0.0667322
Shriver	0.0667105
Fasano	0.0663266
Cooke	0.0660857
Kehoe	0.0660724
Dubus	0.065997
leeson	0.0659772
Mobil	0.0657699
Agusta	0.0656949
Broaddrick	0.0652797
Napolitano	0.0652385
Brewster	0.0651791
Loeb	0.0648584
Quintana	0.0641456
Ashrawi	0.0641319
"Al Fayed"	0.0640656
Markovic	0.0638297
Timlin	0.0638281
Sheppard	0.0638179
Perelman	0.0636929
Murr	0.0633562
Capps	0.0632034
Lawler	0.0630606
O'Neil	0.0627951
Heinrichs	0.062494
"Israeli Army"	0.0619801
Blackman	0.0619688
Blackwell	0.0619173
Texaco	0.0617416
ENTERGY	0.0617092
Felten	0.0614178
Merrick	0.060981
Boles	0.0607994
"Pratt &AMP; Whitney"	0.0607628
Whaley	0.0607371
HELLER	0.0603207
Menuhin	0.0597778
Pirro	0.0596107
Aquino	0.0594479
Kraus	0.0593026
Grimes	0.0592587
Riady	0.0591529
McDaniel	0.0590942
Podesta	0.0590756
ADC	0.059038
Ziegler	0.0588998
Waxman	0.0584885
ITC	0.0582785
Ingalls	0.058082
Jeffers	0.0577575
Peabody	0.0577309
Kern	0.0575133
Ickes	0.0572769
Pryor	0.0567769
Gehry	0.056576
Ivey	0.0565351
Greco	0.0564994
Dingell	0.0561083
Quackenbush	0.0560786
Mullen	0.0560062
Pennzoil	0.0559396
Schottenheimer	0.0559167
McMullen	0.0559071
CPSC	0.0558339
Robison	0.0558042
Butterworth	0.0557894
Jenoff	0.0555951
Sheinbein	0.055515
Hallinan	0.0554724
Soriano	0.0554707
Simons	0.0553741
Copeland	0.0551451
Pairgain	0.055062
Grunow	0.055033
Sumitomo	0.0549823
storey	0.0549387
Eisenman	0.0548463
Finkel	0.0546454
Muir	0.0545875
Eappens	0.0545652
Larson	0.0545318
Deutsch	0.0543399
Talebi	0.0540883
Gladstone	0.0536607
Myhrvold	0.0535344
McDonnell	0.0534303
Baer	0.0532945
Blume	0.0532096
Goldin	0.0530271
Silverman	0.0528696
"Shell Oil"	0.0527227
Abernathy	0.0518939
Ramsey	0.0518834
Noe	0.0518431
O'Connell	0.0517792
Cline	0.0517762
Kurtz	0.0517068
NRC	0.0516402
"KPMG Peat Marwick"	0.0514551
Mathews	0.0514474
Nicol	0.0513954
Adair	0.0513563
Sharma	0.0513098
Congeniality	0.0512666
ALZA	0.0512202
McDermott	0.0510504
TRW	0.0509608
Dooley	0.0508777
Slatkin	0.050808
Wendt	0.0508062
Hobson	0.0504256
CMAG	0.0503019
Scelzi	0.0502733
Whitsitt	0.0502021
Hartman	0.0501267
Prescott	0.0500797
Marineau	0.0500708
Fordice	0.0499793
Speer	0.0498326
Bonner	0.0497702
BNFL	0.0495638
Ganassi	0.0495511
Carey	0.0495331
Bowles	0.0494986
Kumaratunga	0.0494657
Sanyo	0.0492948
Garofalo	0.0492366
Doherty	0.049181
Imperatori	0.0491481
Blix	0.0486102
MGH	0.0486038
showbiz	0.048531
Thatcher	0.0482204
Cochran	0.0481439
POLK	0.0481073
Hanley	0.0479837
Arbour	0.0479487
Lundberg	0.0478601
Dungy	0.0476756
krueger	0.0476665
Hooper	0.047654
Bhutto	0.0475887
Ritter	0.0475568
Matsushita	0.0475477
Peters	0.047505
Mehta	0.0474788
DeBartolo	0.0474483
Fink	0.0473688
Byrne	0.047347
Kennelly	0.0472838
"Jim Harrick"	0.047269
Alfred	0.0469909
VC	0.046919
Cendant	0.0469096
U.S.-Japan	0.0468357
Machel	0.0467897
Samuelson	0.0467844
"Con Ed"	0.0466994
Chenoweth	0.0466915
Amoco	0.0464232
Devine	0.0462132
Lowey	0.0461942
Gibbs	0.046186
gumshoe	0.0461264
Sherrill	0.0461068
))
(Beck (desc 15020.4) (sims
Mulholland	0.0915045
Percival	0.0911493
"Jon Lieber"	0.0806787
Aguilera	0.0799716
Olson	0.0796956
"Rod Beck"	0.0795833
Wohlers	0.0791875
Wetteland	0.0788554
"Lauryn Hill"	0.0778609
Hoffman	0.07738
Madonna	0.0756615
Timlin	0.0753256
Benitez	0.0752899
Mantei	0.074724
"Gregg Olson"	0.0744325
U@	0.0744295
Nen	0.0734366
Mahomes	0.0723667
Ligtenberg	0.0723318
"David Bowie"	0.0716399
Isringhausen	0.0712991
Herges	0.0711193
Osuna	0.0701131
"Rick Aguilera"	0.0695235
Candiotti	0.068964
Rivera	0.0676466
Bottenfield	0.0675037
"Limp Bizkit"	0.0673988
Holmes	0.0670682
Gagne	0.0666914
"Phil Collins"	0.0666859
"Russ Springer"	0.0656528
Cormier	0.0653562
Shaw	0.0653005
Bjork	0.06517
Parris	0.064595
"Derek Lowe"	0.0642004
"Matt Mantei"	0.0640675
Schourek	0.0638836
Zimmerman	0.0634325
Moyer	0.0633819
"Pearl Jam"	0.0631521
Wendell	0.0630712
Franco	0.0622993
"Bob Dylan"	0.0619655
Wright	0.0618864
Metallica	0.0618091
Hershiser	0.0617828
Elarton	0.0616715
Burkett	0.0616011
Hernandez	0.061549
Rusch	0.0614986
Mercker	0.0614297
Gomez	0.0612744
Stottlemyre	0.0612562
Borbon	0.0606601
"Mike Timlin"	0.0602838
Bono	0.060078
"Randy Myers"	0.0600228
Rincon	0.0597829
Remlinger	0.0597826
"John Franco"	0.0597538
Eldred	0.05943
McDaniel	0.0591457
"Elton John"	0.0591282
Wickman	0.0590822
"Todd Jones"	0.0590678
Mendoza	0.0588694
Schilling	0.0587428
Finley	0.0584816
"Eric Clapton"	0.0583977
Bohanon	0.0583787
Seanez	0.0583475
Harnisch	0.0582594
Gooden	0.0582058
Grimsley	0.0578813
"Bryce Florie"	0.057712
Tapani	0.0574911
Garcia	0.0574863
Dickson	0.0574272
"Robb Nen"	0.0573657
Millwood	0.0568902
"Sheryl Crow"	0.0566836
Lowe	0.0566113
Miller	0.0564291
Wagner	0.0562903
Cunningham	0.0561761
Watson	0.0561757
Rhodes	0.0561245
Rogers	0.0560424
Suppan	0.055876
Ortiz	0.0556757
Crabtree	0.0556651
Maddux	0.0555486
"Elvis Costello"	0.0555045
Halama	0.0554855
Johnson	0.0554375
Mills	0.0552674
Graves	0.0551807
Benes	0.0551532
Nelson	0.0551497
Radke	0.0551401
Fassero	0.0551173
"Bonnie Raitt"	0.0551095
Belcher	0.054786
R.E.M	0.054716
Smoltz	0.0546919
Dre	0.0546528
Nagy	0.0546378
Korn	0.0545947
Mann	0.0545874
Dreifort	0.0545177
Rodriguez	0.0544947
Betts	0.0543905
Erickson	0.0543485
Saberhagen	0.0542893
Padilla	0.0542322
Meche	0.0540336
martin	0.0539292
Akers	0.0539156
"Terry Adams"	0.0538557
"Jason Christiansen"	0.0538192
Mussina	0.0537476
"Pat Mahomes"	0.0536871
Yoshii	0.0536446
Santana	0.0536191
Lieberthal	0.0536146
Nomo	0.0535763
Oliver	0.0535761
Reed	0.0535099
Jimenez	0.053456
Allen	0.0534454
"Alanis Morissette"	0.0534083
Sele	0.0533394
Jacobs	0.0532331
Stanton	0.0532232
"Carlos Santana"	0.0532121
Leiter	0.0530816
"Janet Jackson"	0.0530102
Lovett	0.0529997
Bragg	0.0529539
Arrojo	0.0528776
Dotel	0.052764
Helling	0.0527555
"Michael Jackson"	0.0527539
Contreras	0.0526812
Walsh	0.0526403
"Ricky Martin"	0.0524716
Reyes	0.0523877
Springer	0.0523779
"Billy Joel"	0.0523399
"two pitchers"	0.0523087
"Turk Wendell"	0.0522941
Washburn	0.0522231
Stephenson	0.0521924
Gordon	0.052168
Patterson	0.052115
Saunders	0.0521011
"Bruce Springsteen"	0.0520566
Beatles	0.0520544
Tucker	0.0520485
Gallo	0.0518732
sting	0.051773
Dion	0.0516898
Snyder	0.0516788
"Mariano Rivera"	0.0515873
Scott	0.0514924
"Jose Mesa"	0.051466
Maxwell	0.0514008
Raines	0.0513821
Zito	0.0513375
"Red Hot Chili Peppers"	0.0512468
Stoneman	0.0511706
Springsteen	0.0511419
Alvarez	0.0510621
Farber	0.0510393
"Antonio Osuna"	0.0510009
Manson	0.0509695
Henley	0.0508509
"Armando Benitez"	0.0508166
Palmer	0.0508012
Olivares	0.0507696
Garrett	0.0507286
Sutton	0.0506975
"Jeff Brantley"	0.0506937
Glynn	0.0506574
Loaiza	0.050564
Schoeneweis	0.0504482
"Sarah McLachlan"	0.0503846
"Mark Wohlers"	0.050381
Murray	0.0503674
gill	0.0502254
Thompson	0.0502007
estes	0.0501767
"Kerry Ligtenberg"	0.0501321
Holtz	0.0500949
"John Lennon"	0.0500909
"Paul Shuey"	0.050073
Tomko	0.0500349
Hitchcock	0.0500255
))
(Beckenbauer (desc 1158.91) (sims
"Franz Beckenbauer"	0.120829
Ribbeck	0.11977
Pearce	0.112448
Troussier	0.111976
"Frank Joklik"	0.110012
Zenga	0.107719
Joklik	0.10492
"Jack Valenti"	0.103362
Leetch	0.103034
Cowens	0.102458
DiCicco	0.102332
Koehler	0.100862
"Kim Jong-pil"	0.0975966
Vogts	0.09746
"Richard Smith"	0.095096
Eizenstat	0.0947092
Stoyanov	0.0946324
"Jack Welch"	0.0942127
"Gheorghe Hagi"	0.0941515
Gartner	0.0939076
"Mark James"	0.0938893
Maldini	0.0931074
Oliveira	0.092298
Zarb	0.0922041
Blatter	0.0899804
Tilberis	0.0897902
"Zhou Guangzhao"	0.0894723
Molinari	0.0888573
Montiel	0.0882973
Spielman	0.0876382
Granic	0.0871313
"Chea Sim"	0.0864593
Catacosinos	0.0861921
hodgson	0.0857207
Milutinovic	0.084732
Baumann	0.0842107
Bulatovic	0.084039
Kasparov	0.0839017
Ikeda	0.0838317
Klinsmann	0.0831001
Zambrano	0.0830905
Laudrup	0.0828832
"Ben Crenshaw"	0.0828425
"Julian Bond"	0.0826024
Weah	0.0820579
Paolo	0.0819098
"Ricardo Alarcon"	0.0809273
"Defense William Cohen"	0.0807842
Arens	0.0798436
"Billy Payne"	0.079689
Calipari	0.0796049
"Brian Leetch"	0.0794499
"Tom Johnson"	0.078974
Rosenblatt	0.0789203
Mukora	0.0783228
Camacho	0.078215
Lazarenko	0.0781852
Kerik	0.0780515
Sassa	0.078031
"Hansie Cronje"	0.0777857
Tomjanovich	0.077743
"Sepp Blatter"	0.0777408
Schell	0.0773992
"Lenny Wilkens"	0.0772241
"Mark Taylor"	0.0770436
Arnett	0.0767914
Popovich	0.0761152
Meyers	0.0760759
Barbour	0.0760658
Ciampi	0.076065
Scruggs	0.076032
Sharansky	0.0758962
Sahnoun	0.0756706
"Tom Welch"	0.0755738
Bove	0.0754132
Venables	0.0753653
Maradona	0.0752779
Dobson	0.0752577
Izetbegovic	0.0750284
"Martin Luther King III"	0.0749268
D'Alessandro	0.0748111
Layden	0.0746772
Crenshaw	0.074657
R-Alaska	0.0743968
Yzerman	0.0742572
"Eric Cantona"	0.0740741
McLaughlin	0.0740072
Wilhelm	0.0739143
"Buck Williams"	0.0738886
"Mitt Romney"	0.0737361
"Thabo Mbeki"	0.0734568
Bierhoff	0.0734556
"Wim Duisenberg"	0.0733229
Contreras	0.0732536
Tkachuk	0.0732527
Muckler	0.0731889
Harkes	0.0729763
Rodionov	0.0729637
Nateq-Nouri	0.072961
"Gerald Ford"	0.0726209
Ruelas	0.072395
Mustafa	0.0723023
Iger	0.0720539
Bouteflika	0.0719615
DIMON	0.0719396
Lari	0.0719084
"James Barksdale"	0.0719014
Nebiolo	0.0716567
Seizinger	0.0716465
Merkel	0.0714695
Fitch	0.0711784
McEnroe	0.0711478
Cooley	0.0711457
Ballmer	0.0710847
Khalid	0.0709599
Kwasniewski	0.0707025
"Dale Murphy"	0.0705793
"Biljana Plavsic"	0.0699286
Velayati	0.0697808
"Horst Koehler"	0.0697046
Mkapa	0.06962
Museveni	0.069483
Diouf	0.0694142
Alarcon	0.0692557
Shevardnadze	0.0691208
Majko	0.0690921
Ritter	0.0690139
"John Sweeney"	0.0689312
Perrot	0.0688676
Gerardi	0.0688264
Boldon	0.0688104
Blix	0.0687936
Rosenthal	0.0684274
Lindros	0.0683453
Fordice	0.068247
Sergeyev	0.068149
Myhrvold	0.0681031
"Kim Yong Nam"	0.068088
Villeneuve	0.0680571
Dunga	0.0680186
Matthaeus	0.068014
Harmoko	0.0679846
Prewitt	0.0675648
"Bill Lann Lee"	0.067542
"Liu Xuan"	0.0675123
Moseley-Braun	0.0675074
Callaghan	0.0675038
Recchi	0.0673896
Tian	0.0673004
Dowd	0.0672732
"Paolo Maldini"	0.0672618
Bubb	0.067248
Snowe	0.0672411
"Michel Platini"	0.067198
Buthelezi	0.0671499
"Archbishop Desmond Tutu"	0.0671103
Seleznyov	0.0669602
Fisk	0.0668802
Faget	0.0668254
Samuelson	0.0668088
Gullit	0.0666797
"Scott Harshbarger"	0.0666011
Moi	0.0665793
"Wang Daohan"	0.0664426
Naumann	0.0663886
Chaney	0.0663753
Kasoulides	0.0663715
Paxon	0.0663264
"Megawati Soekarnoputri"	0.066315
Stoneman	0.0662603
Kazhegeldin	0.066057
Azizah	0.0659687
Hayworth	0.0659538
Boutros-Ghali	0.06586
Tomey	0.0656537
whomever	0.0655912
Gimelstob	0.065494
Pippig	0.0653204
"Charles Dolan"	0.0653145
"Garry Kasparov"	0.0650616
Santer	0.0650456
Piccard	0.0649627
FitzPatrick	0.0649486
Xiong	0.0648903
Rafsanjani	0.0647338
Rais	0.0647118
Koskinen	0.0646979
"Claudio Reyna"	0.0646687
Gusmao	0.0646438
Indyk	0.0646423
Manheim	0.0645002
"Ray Romano"	0.0644592
Boer	0.0644046
Jacquet	0.0643246
Meguid	0.0642832
Chissano	0.0642119
"King Abdullah II"	0.0642078
"Juan Antonio Samaranch"	0.0642028
"Rolf Ekeus"	0.0641442
"Jim Nicholson"	0.0640712
))
(Becker (desc 11615.6) (sims
Kafelnikov	0.168972
"Boris Becker"	0.147426
Agassi	0.142385
Seles	0.142288
Moya	0.132565
Chang	0.131298
Henman	0.130696
Krajicek	0.126045
rios	0.125845
Rusedski	0.122688
Sampras	0.12254
Hingis	0.121826
Korda	0.121733
Kuerten	0.120615
Corretja	0.119649
"Steffi Graf"	0.119394
Ivanisevic	0.117654
Sanchez-Vicario	0.116662
Ferreira	0.116486
"Australian Mark Philippoussis"	0.115471
Bjorkman	0.115314
Novotna	0.11489
"Andre Agassi"	0.114126
Davenport	0.113653
Kiefer	0.112032
Huber	0.111069
Capriati	0.11087
Muster	0.110865
Rafter	0.110062
Connors	0.10954
Coetzer	0.109447
"Richard Krajicek"	0.109117
"Sergi Bruguera"	0.108562
Majoli	0.108416
"Pete Sampras"	0.107982
Enqvist	0.107476
"Patrick Rafter"	0.107402
Philippoussis	0.107223
"Anke Huber"	0.105282
"Yevgeny Kafelnikov"	0.10528
Safin	0.103302
Testud	0.102635
"Serena Williams"	0.102462
Kournikova	0.101878
"Venus Williams"	0.101107
"Monica Seles"	0.100912
"Van Roost"	0.100815
"Jana Novotna"	0.10057
"Lindsay Davenport"	0.100376
Graf	0.100168
"Marcelo Rios"	0.0999755
"Arantxa Sanchez Vicario"	0.0998286
Bruguera	0.0996938
"Sanchez Vicario"	0.0988082
Berasategui	0.0986586
"Carlos Moya"	0.0981874
"Tommy Haas"	0.0977279
Haas	0.0974159
Pioline	0.0970864
"Jim Courier"	0.0970769
"Mary Pierce"	0.0970543
Kucera	0.0956464
Medvedev	0.0953549
Pierce	0.0950312
Sugiyama	0.094785
"Nicolas Kiefer"	0.0944228
Lapentti	0.0942298
"Goran Ivanisevic"	0.0937277
"Thomas Enqvist"	0.0937036
Schnyder	0.0935564
"Wayne Ferreira"	0.0934758
Mauresmo	0.0925093
Gimelstob	0.0921787
"Michael Chang"	0.0919507
"Alex Corretja"	0.0915894
"Thomas Muster"	0.091446
Siemerink	0.0913344
Waldner	0.0912906
"Conchita Martinez"	0.0908725
"Martina Hingis"	0.0907944
"Gustavo Kuerten"	0.0907539
"Arantxa Sanchez-Vicario"	0.0906767
"Alberto Berasategui"	0.0906288
Gustafsson	0.0905654
Stoltenberg	0.0904989
"Magnus Norman"	0.0902957
Mantilla	0.0894094
Rosset	0.088483
Johansson	0.0882727
"American Chanda Rubin"	0.088247
McEnroe	0.0879846
Schalken	0.0877145
Fernandez	0.086433
Edberg	0.0861813
"Jennifer Capriati"	0.0859317
Serena	0.0859283
"Everybody Loves Raymond"	0.0858735
"Tim Henman"	0.0853244
"Greg Rusedski"	0.0851455
"Russian Yevgeny Kafelnikov"	0.0849693
Ottey	0.0847134
Kong	0.084593
Halard-Decugis	0.0839177
"Todd Martin"	0.0835891
Sautin	0.0835736
"Joko Suprianto"	0.0832065
"Byron Black"	0.0831844
"Chanda Rubin"	0.0828483
Schett	0.0824793
"Iva Majoli"	0.0824464
"Felix Mantilla"	0.0824227
"Camilla Martin"	0.0823475
"Fernando Meligeni"	0.0821125
Tauziat	0.0820545
"Pat Rafter"	0.0818829
"Marc Rosset"	0.0818209
"Petr Korda"	0.0814126
courier	0.0813955
Devers	0.0807391
"Sandrine Testud"	0.0805988
"Gong Zhichao"	0.0805051
Lucic	0.0802788
Hendrawan	0.0801658
Raoux	0.0800956
"Ai Sugiyama"	0.0796958
"Albert Costa"	0.0796834
"Dai Yun"	0.0793492
"American Pete Sampras"	0.0792252
Raymond	0.0789563
Swardt	0.0788239
Clavet	0.0787703
Klim	0.0787026
"Ye Zhaoying"	0.0784558
Costa	0.0782109
"American Lindsay Davenport"	0.0781624
Nicol	0.0779902
"Andrei Medvedev"	0.0779642
"American Todd Martin"	0.0778698
"Nathalie Tauziat"	0.0776152
"Heryanto Arbi"	0.0772243
"Kong Linghui"	0.0769599
Woodforde	0.0769206
"Arnaud Di Pasquale"	0.0762543
"Mark Woodforde"	0.0756247
Spaniard	0.075583
Frazier	0.0753658
Dosedel	0.0750745
Ulihrach	0.0750117
"Nathalie Dechy"	0.0748189
"Cedric Pioline"	0.0747776
Woodruff	0.0745817
Likhovtseva	0.0745576
"Irina Spirlea"	0.0744626
"Amanda Coetzer"	0.0742356
Sidot	0.0741931
"Andrea Gaudenzi"	0.0741721
Gambill	0.0739587
"Jonas Bjorkman"	0.0738699
"Mark Philippoussis"	0.0738442
"Wang Liqin"	0.0735723
"Richard Fromberg"	0.073389
"Peter Gade Christensen"	0.0733198
"Dominique Van Roost"	0.0731497
Hewitt	0.0727534
Zvereva	0.0726592
"Alberto Costa"	0.0726286
"Ivan Lendl"	0.0722799
Watson	0.0720825
"Julie Halard-Decugis"	0.0718117
Taufik	0.0717258
"Silvia Farina"	0.0717143
Norman	0.0712947
Kwan	0.0712486
Gaudenzi	0.0710486
Santoro	0.0710398
Swede	0.0710332
"American Andre Agassi"	0.0710288
"Wang Nan"	0.0709714
Karpov	0.0709545
"Ruxandra Dragomir"	0.070909
"Dominik Hrbaty"	0.0708998
Spadea	0.0708625
"Leander Paes"	0.0707627
"Alex O'Brien"	0.0707581
"Wang Tao"	0.070432
Tarango	0.0700405
"Roger Federer"	0.0699143
"Anna Kournikova"	0.06987
Damm	0.0698679
"Jan-Michael Gambill"	0.069813
Puerta	0.0697155
Kasparov	0.0696556
Dragomir	0.0695479
Susanti	0.0694975
"Elena Likhovtseva"	0.0694681
Gomez	0.0692669
Stevenson	0.0691594
"Patty Schnyder"	0.069144
Kjus	0.0691341
"Ji Xinpeng"	0.0689133
))
(Beckett (desc 5940.37) (sims
"Samuel Beckett"	0.138282
Ibsen	0.100223
Brecht	0.0959682
Nabokov	0.0870881
MAMET	0.0778188
Wasserstein	0.0753231
Proust	0.0751363
"Noel Coward"	0.0706656
Rabe	0.0675877
Racine	0.0646504
Surin	0.0645698
Yeats	0.0629416
Joyce	0.0611389
Kafka	0.0605748
McPherson	0.0597561
hare	0.058648
Wilder	0.0577508
"Tennessee Williams"	0.0574051
Chekhov	0.0563542
"George Bernard Shaw"	0.0560237
Burroughs	0.0554835
Stephenson	0.0554265
Shaw	0.0542931
McNally	0.0541094
Wilde	0.0540469
Shakespeare	0.0539385
Luong	0.0533762
Scharping	0.0529462
Allchin	0.0525406
Kubrick	0.0521456
Bellow	0.0516847
Azad	0.0512881
Wolfe	0.0512288
Salinger	0.0510595
"David Hare"	0.050983
Hayworth	0.0506927
Sumaye	0.0505587
Rodionov	0.050471
Solzhenitsyn	0.0503846
"Arthur Miller"	0.0503752
"de Charette"	0.0497169
Schiller	0.049545
Rothko	0.0495257
Dickens	0.0494674
Komura	0.0490962
Stoyanov	0.0490948
Gullit	0.0487572
Bruton	0.0484984
Ruehe	0.0483237
Beauvoir	0.0482658
Harr	0.0479773
McEwan	0.0473668
Burkett	0.047341
"Oscar Wilde"	0.0471765
Tolstoy	0.0468817
Harbison	0.0468165
Pushkin	0.0466447
Joplin	0.0464465
Reinhardt	0.0464256
Lehrer	0.046318
Eizenstat	0.0462661
Austen	0.0462529
Sarid	0.0461308
Masire	0.0460486
O'Neill	0.0457521
Bernstein	0.0456613
Rowling	0.0456528
Marinovich	0.0455731
Boueiz	0.045273
Theroux	0.0451061
Jayakumar	0.0450292
Kerouac	0.0449701
Nietzsche	0.0448397
McDOWELL	0.0446148
Goethe	0.044542
Borges	0.0444559
Rifkind	0.0443808
Levitt	0.044166
"Sam Shepard"	0.0440594
"Wendy Wasserstein"	0.0439707
Insulza	0.0437905
Rojas	0.0437832
Binion	0.0436564
Kasoulides	0.0435669
Edson	0.0435553
Ginsberg	0.0435296
Wallis	0.0434939
Bellamy	0.0433727
Naipaul	0.0433687
Posner	0.0433581
Anand	0.0433319
Wolfensohn	0.0432023
Nasrallah	0.0431638
Hartley	0.0431617
"Neil Simon"	0.0430631
Duchesne	0.0430305
Cooke	0.0429373
Lehane	0.0429063
Neff	0.0428133
"Edward Albee"	0.0428116
Updike	0.0427823
Menchu	0.0424927
Jung	0.042264
Chappell	0.0420955
Ikimi	0.0418074
Stein	0.0417349
Archimedes	0.0416251
Nicholson	0.0415493
Rockefeller	0.0415361
Vogel	0.0414376
HELLER	0.0414077
Eliot	0.0413868
Carre	0.0413748
Gowda	0.0412725
Pryor	0.0412638
Hybl	0.041227
"Fighting Irish"	0.0411308
Pickering	0.0410845
Alarcon	0.0410571
Baum	0.0409231
Purdy	0.0409119
Klestil	0.0408589
Cao	0.0408192
Kyprianou	0.0407872
Trollope	0.0407096
"Chris Carpenter"	0.0407004
Hoffman	0.0406827
Marx	0.040659
Grisham	0.0406291
Hess	0.0406076
Klima	0.0404949
Sperling	0.0404846
Einstein	0.0404786
Lew	0.0403451
Stottlemyre	0.040284
Vasile	0.040249
Ikeda	0.0401732
Melville	0.0401694
coward	0.0401131
Doyle	0.0400688
Prewitt	0.0400144
Mandelson	0.0400051
))
(Beckham (desc 4267.39) (sims
"David Beckham"	0.181172
Shearer	0.169022
Scholes	0.166423
Ince	0.144158
Yorke	0.13278
"Teddy Sheringham"	0.124791
"Roy Keane"	0.121424
"Paul Scholes"	0.116103
"Andy Cole"	0.113981
Gascoigne	0.104939
Zidane	0.104587
"Ole Gunnar Solskjaer"	0.103071
Kluivert	0.0988869
"Paul Gascoigne"	0.0987279
Sissi	0.0944307
"Di Canio"	0.0942404
"Paul Ince"	0.0920651
"Paolo Di Canio"	0.087568
"Dwight Yorke"	0.0805048
"Ben Olsen"	0.0786646
"Ian Wright"	0.0775382
"Ariel Ortega"	0.0759533
Baggio	0.0757841
Neville	0.0755808
"Sol Campbell"	0.0735525
Asprilla	0.0724329
"Harry Kewell"	0.0722845
"Alan Shearer"	0.0719574
Bergkamp	0.0718441
Chilavert	0.0717492
"Alex Ferguson"	0.0716825
"Gary Neville"	0.0711432
"Mark Bosnich"	0.0704025
Weah	0.0701892
"Peter Schmeichel"	0.0692802
"Robbie Fowler"	0.0689432
"Joe-Max Moore"	0.0685535
Edmundo	0.0678938
Laudrup	0.0676986
"Ryan Giggs"	0.0673391
Ortega	0.0660082
Hamm	0.065441
Zola	0.0653709
Romario	0.0644992
Batistuta	0.063547
Maradona	0.0629787
Cole	0.0628666
"Hidetoshi Nakata"	0.062685
"Del Piero"	0.0626376
Hagi	0.0623998
WARRICK	0.0618762
McSorley	0.0606318
McGuinness	0.0598313
Klinsmann	0.0596984
Seward	0.0596347
Blanc	0.059324
Gorter	0.0591942
"Emmanuel Petit"	0.0591605
"Jim Harrick"	0.0589276
Nailon	0.0587614
"Paul Merson"	0.0587382
Antley	0.058701
Rivaldo	0.0585227
Priebke	0.0580262
"Marco Etcheverry"	0.0577533
Imperatori	0.0576721
"Russell Peeler"	0.057667
Lindros	0.0575562
Wright	0.0575533
Benitez	0.0574417
Vieri	0.0567138
Janikowski	0.0565413
"David Seaman"	0.0562556
"Luigi Di Biagio"	0.0560638
DeBartolo	0.0560104
"De Bruin"	0.055971
Hatcher	0.055814
Belcher	0.0557146
Elhage	0.0555988
Roenick	0.0554866
"Matt Santangelo"	0.055266
Gayle	0.0552264
Farris	0.0550283
"Darren Anderton"	0.0549106
Stackhouse	0.054799
Romanowski	0.0545772
Jagr	0.0545347
"Stan Collymore"	0.054387
"Mauricio Ramos"	0.0541032
Wesley	0.0537976
"Tom Presthus"	0.0537808
Neilson	0.0537783
Matthaeus	0.0535126
Nedved	0.0533856
"Patrick Kluivert"	0.0531974
Carbonneau	0.0530593
Recker	0.0528649
Agca	0.052853
Ferdinand	0.0528293
Quartey	0.0527068
"Sun Wen"	0.0525313
Iverson	0.0524037
"Cindy McCain"	0.0523608
Atler	0.0523591
Polgar	0.0523339
Jair	0.0523277
Bierhoff	0.0520857
"three pitchers"	0.0520407
Rodman	0.0520074
Gooden	0.051982
Klebold	0.0519631
Keane	0.0519517
Petit	0.0518742
Brazill	0.0517714
Carollo	0.0517566
McLemore	0.0517193
Toomer	0.051699
"Thomas Haessler"	0.0515452
"Robert Prosinecki"	0.05141
Najera	0.0513647
Mehmet	0.0513208
Woolley	0.0512969
"Gheorghe Hagi"	0.0511078
"Eric Swann"	0.051059
"Steve McManaman"	0.0509491
Seaman	0.0508316
leeson	0.0507674
Dunston	0.0506254
Baerga	0.0505784
Bure	0.0504978
Coia	0.0504292
Duchesne	0.0503727
Tkachuk	0.050313
Akers	0.0502733
midfielder	0.0502426
Schott	0.0502037
Jorgensen	0.0501992
"Eric Cantona"	0.0501839
Geiger	0.0501669
Ceballos	0.0501194
Radojevic	0.0500233
Pantani	0.0499258
Newcastle	0.0498988
Pippen	0.049886
McKinney	0.0498384
"Claudio Reyna"	0.0497424
Tomba	0.0494809
Baba	0.0494675
Berra	0.0493459
"ZIGMUND PALFFY"	0.0492968
McCarty	0.0491757
Langenbrunner	0.0491489
Ramirez	0.0490212
Bhattarai	0.0489242
ALLISON	0.0487868
Chastain	0.0487587
Wiggins	0.0486203
Fleury	0.0483935
Dokic	0.0483902
Anelka	0.0482895
Johnston	0.0479226
Leland	0.0478508
Lett	0.0477245
Griese	0.0476317
Spellman	0.0475356
Howe	0.0474786
Collymore	0.0473744
Olajuwon	0.0471478
Everett	0.0470858
Langdon	0.0470551
Grahame	0.046964
Badillo	0.0468732
Vasquez	0.046685
Clement	0.0466687
guo	0.0466652
Westbrook	0.0466378
Prinosil	0.0465683
"Tony Adams"	0.0465516
Wilkins	0.0465256
"Clint Mathis"	0.0464346
Skuratov	0.0464272
Bebeto	0.0464178
Etcheverry	0.046348
Schaeuble	0.0461958
DeBerg	0.0461913
"Khodadad Azizi"	0.0461271
Palffy	0.0461214
Pruett	0.0460984
Nkabinde	0.0459852
Ponciano	0.0459195
Lacresha	0.0458617
Hendrickson	0.0456776
Nieuwendyk	0.0456625
"Hristo Stoichkov"	0.0456065
Serna	0.0456063
Nakata	0.0455479
Yashin	0.0454711
Alford	0.04547
Suker	0.0454622
Venables	0.0454107
))
(Beckwith (desc 960.799) (sims
LeFave	0.145537
Zamora	0.138829
Singson	0.13419
Wenger	0.134165
Bakaly	0.131242
Wolfson	0.130985
Khalil	0.128383
Ruehe	0.127862
Maslyukov	0.126701
Berenson	0.125173
Brazile	0.123029
Grasso	0.121145
Symington	0.118427
Manbar	0.118278
Hauser	0.117148
Manley	0.116366
Bowers	0.116174
Zadornov	0.115648
Markhasev	0.115302
Lileikis	0.115041
Kumar	0.114893
Abernathy	0.113947
Jelisic	0.113296
Akayesu	0.112693
Beazley	0.111887
Koskinen	0.111502
Cubas	0.111153
Bustamante	0.110977
Priebke	0.109488
Gullikson	0.109095
Bizimungu	0.108873
Bubb	0.107928
Sheehan	0.10788
Vogts	0.107829
Glover	0.107667
Milbury	0.107307
Vance	0.106705
Rossotti	0.106211
Piot	0.106076
LaPierre	0.105186
McVeigh	0.104905
Lacresha	0.104519
Flanagan	0.104045
Yastrzhembsky	0.104039
Qureshi	0.103703
DuBose	0.103692
Yoo	0.10335
Ainge	0.102228
Suarez	0.101946
Sato	0.101816
Croshere	0.101534
Finney	0.101024
Gullit	0.100563
Rongen	0.0998763
Rothenberg	0.0998134
McKenna	0.099364
McWilliams	0.0989217
Sherrill	0.0988674
Faulder	0.098517
Gauthe	0.0980059
Gainey	0.0979308
Maharaj	0.0974535
Halloran	0.0973919
Prewitt	0.0971357
Rubenstein	0.0970164
Alarcon	0.0967852
Sununu	0.0967164
Neeman	0.096365
Thayer	0.0959807
Ftorek	0.0955012
Valenzuela	0.0952815
Joklik	0.0952484
Zambrano	0.0948348
Werner	0.0946849
Lugo	0.0941546
Coe	0.0941438
Shipman	0.0939284
Rideau	0.0935998
Advani	0.0932756
Cline	0.0930758
Boyle	0.0930544
Reimer	0.0930539
Lundberg	0.092711
Mucha	0.0923503
Couric	0.092263
Demaci	0.0920314
Coelho	0.0914554
Jobe	0.0911461
Mease	0.0911335
Ganassi	0.0910934
Devine	0.0910273
McKinney	0.0908306
Taft	0.0907839
Schottenheimer	0.0906774
Echols	0.0906009
Deri	0.0905118
Mackey	0.0902337
Fleischer	0.0901992
Schmid	0.0901427
Granik	0.0901184
Schmitz	0.0899107
Scharping	0.089903
Robison	0.0892844
Bullard	0.0892773
Valenti	0.0891121
Farris	0.0890622
Hunsicker	0.0886301
Capano	0.0881895
Craxi	0.0881521
Cleary	0.0881087
Kearin	0.0880658
Sebaggala	0.087943
"Maturino Resendiz"	0.0878482
Lehane	0.0878343
Naumann	0.0878185
Eizenstat	0.0875295
Zucker	0.0875203
Lacroix	0.0873986
Pearce	0.087306
Hodler	0.0870812
Berlusconi	0.0870663
Condit	0.0870536
Sheldon	0.0870348
Molinari	0.0869234
Dungy	0.0868325
Chadwick	0.0864765
Marinovich	0.0864294
Hoddle	0.0863389
Sanan	0.0863135
Goossen	0.0862752
Gutman	0.0860101
Tuberville	0.0859031
Engelberg	0.0858165
Heinrichs	0.085381
Strauss-Kahn	0.0853033
Kyprianou	0.0852084
Geiger	0.0849978
hale	0.0849896
Garza	0.084973
Hirschfeld	0.0849233
Wiseman	0.0846144
Einhorn	0.0845697
Schweitzer	0.0845028
Skuratov	0.0844845
Popovich	0.0841434
Schoenfeld	0.084026
Papon	0.084017
Rivlin	0.0837572
Bavasi	0.0834275
Shevardnadze	0.0834131
Sassa	0.08341
Caddell	0.0833953
McCurry	0.0833635
Kirkpatrick	0.083351
Keating	0.0832657
Feuer	0.0832328
KEVORKIAN	0.0829428
Goldin	0.0829116
Kennard	0.0828915
Wilhelm	0.0828388
Bettman	0.0828353
Markovic	0.0827208
"administration official"	0.082707
Schrempp	0.0825602
Sheppard	0.0823251
Moonves	0.0819644
Elliot	0.0818544
"Mike Barnicle"	0.081725
"Russell Peeler"	0.0816946
Soyinka	0.0816146
Copeland	0.0815839
Falater	0.0815208
Nasrin	0.0814064
Dunleavy	0.0813244
Hartsburg	0.0812404
Babcock	0.0810416
Cavallo	0.0809346
Marineau	0.0809021
Kimmel	0.0807989
Braswell	0.0806119
Xiang	0.0806079
Morgenthau	0.0805842
Ciampi	0.0805298
Salazar	0.0804232
Sergeyev	0.0803924
Muckler	0.0799448
"Patsy Ramsey"	0.0798538
Jamison	0.0794564
Nasrallah	0.0793742
Ebbers	0.079227
Siazon	0.0791943
McGinn	0.0790948
Quintana	0.0789774
Okada	0.0789772
Cheung	0.0788818
Carollo	0.0787303
Skakel	0.0786943
Azizah	0.0786874
Beathard	0.0786612
Dowd	0.0786236
))
(becky (desc 2553.6) (sims
Evelyn	0.11785
Toni	0.117752
Alexandra	0.110719
Kathy	0.109149
Polly	0.108514
Irina	0.107422
Suzanne	0.106879
Gail	0.106112
alicia	0.105138
Katherine	0.104194
Meg	0.103861
Josephine	0.103107
Beth	0.103096
Stephanie	0.101938
Marian	0.101391
Heidi	0.101063
Nora	0.0998761
Eileen	0.099865
Olivia	0.0987071
Kathleen	0.0986409
Lynne	0.0986214
Patricia	0.0979138
Cathy	0.0972636
Kristin	0.0971511
Olga	0.0965532
Marlene	0.0959691
Debbie	0.0959472
Vicki	0.0952445
Carol	0.0950808
Maureen	0.0944266
"Azizah Ismail"	0.094407
Sonia	0.0933554
Pam	0.09333
Terri	0.0931381
Peggy	0.0931021
Julie	0.0928762
Sally	0.0925714
Stella	0.0919672
Rebecca	0.0919062
Michelle	0.0912751
Cherie	0.0909365
Jill	0.0907482
Elaine	0.0904761
Laura	0.0899017
Kimberly	0.0896885
Doris	0.0896476
Janet	0.0896175
Renee	0.0895789
Jessie	0.088949
Helen	0.0887408
Juanita	0.0885946
Monique	0.0871967
Susan	0.0868131
Camille	0.0867857
Lucia	0.0866001
Sara	0.0864935
Phyllis	0.0862976
Nancy	0.0862573
Jennifer	0.0856466
Patti	0.0855857
Marianne	0.0849572
JoAnne	0.0848842
Brenda	0.0846049
Valerie	0.0843376
Marta	0.0843214
Annie	0.0842355
Jacqueline	0.0841081
Dorothy	0.0840599
Pauline	0.0839848
Tracey	0.0839389
Elena	0.0838824
Karenna	0.0838467
Paulina	0.0836951
Cindy	0.0836629
Lisa	0.0836046
Diane	0.0829822
Nikki	0.0815668
Denise	0.081435
Beverly	0.0812436
Nicole	0.0810175
Katie	0.0808679
Jane	0.0806021
Annette	0.0801473
Edith	0.0800043
Christine	0.0799662
Andrea	0.0797396
Betty	0.0797201
Connie	0.079428
Esther	0.0793991
Lori	0.0791721
Karen	0.0789598
Donna	0.0788046
Kathryn	0.0786295
Miriam	0.0785368
Susie	0.0785023
Barbara	0.0781281
Linda	0.078103
Lois	0.0774807
Angela	0.0772924
Teresa	0.0771126
Theresa	0.0770472
Eleanor	0.0767505
Lydia	0.0764361
Liz	0.0760855
Julia	0.0760715
Laurie	0.0757316
Elizabeth	0.0757007
Margaret	0.0754973
Deborah	0.0753265
Melinda	0.0752381
Cheryl	0.0747485
Amy	0.0747393
Jeanne	0.0746742
Debra	0.0741233
Betsy	0.0740108
Winnie	0.0738428
Alison	0.0738363
Audrey	0.0737881
Marcia	0.073669
"Karenna Gore Schiff"	0.0734818
Rhonda	0.073317
Carolyn	0.0731644
Jessica	0.0725847
Martha	0.0723294
Louise	0.0722617
heather	0.0721228
"Patsy Ramsey"	0.0720897
colleen	0.071874
Brooke	0.071614
ANN	0.0715974
Rachel	0.0712929
Caroline	0.0712228
Fran	0.070938
Michele	0.0707131
BEA	0.0703226
Jackie	0.0700226
Sylvia	0.0699903
Thelma	0.0699636
Nina	0.0699634
Marilyn	0.0698968
Millie	0.0697916
Jamie	0.0697718
Anita	0.0697484
Shirley	0.0694793
Frances	0.0693899
"Leigh Ann"	0.0692509
Beatrice	0.0692315
Anne	0.0691801
Judith	0.0686782
Bianca	0.0685003
Naomi	0.0682982
Robin	0.0682746
Emily	0.068263
Christina	0.0682052
Kate	0.0679864
Dolores	0.067714
"Carmen Electra"	0.0676713
Marguerite	0.067352
Tina	0.0670322
Rita	0.0669767
Hadassah	0.0667457
Leah	0.0664534
Dora	0.0662027
Rosie	0.0660843
Janice	0.0659224
Melanie	0.0656092
Sophie	0.0654187
Yarmila	0.0652143
Tammy	0.0649225
Irene	0.0647704
Maria	0.064305
Vera	0.0642472
Emma	0.0642085
Carrie	0.0634752
Cynthia	0.0633693
Evan	0.0632957
Vivian	0.063122
hazel	0.0630228
Judy	0.06293
Shannon	0.0625913
Claire	0.0625445
anna	0.0624783
gloria	0.0620384
Lucille	0.0615942
Natalie	0.0614851
Stacy	0.061364
Alice	0.0612751
Erica	0.0611255
Erin	0.0610873
Amanda	0.0607737
Lucy	0.0607441
Lynn	0.0606946
Paula	0.0606777
Sheryl	0.0604855
Pamela	0.0604286
Marion	0.0603948
Sarah	0.0603823
Whitney	0.0598173
Linus	0.0594297
Melissa	0.0593481
))
(becuase (desc 1397.72) (sims
flareup	0.0627947
everytime	0.0620739
"fifth minute"	0.0571281
"second minute"	0.0548703
"third minute"	0.0547264
Sunday.	0.0537985
"cup tie"	0.0536228
recurrence	0.0532931
chessboard	0.0507661
beany	0.0500461
complained	0.0500348
captaincy	0.0488868
"Ryder Cups"	0.0476636
friendlies	0.0459389
"Bafana Bafana"	0.0435855
"secret society"	0.0434207
ballgames	0.0433334
TVM	0.043238
here.	0.0421405
"two centuries"	0.0420225
"Kinder Bologna"	0.0420204
aggravation	0.0417139
time-trial	0.0415832
passel	0.0411174
establishing	0.040475
Hunchback	0.0403776
"Memorial Tournament"	0.0402607
night.	0.040254
"Mark Williams"	0.0401895
))
(bed (desc 115003) (sims
chair	0.143671
sofa	0.136293
room	0.131484
table	0.123099
bedroom	0.119035
floor	0.118575
couch	0.118058
mattress	0.11522
desk	0.113781
"hospital bed"	0.113278
seat	0.107963
cot	0.098729
car	0.0983943
bathroom	0.0981995
kitchen	0.0957883
bathtub	0.0943338
apartment	0.093072
box	0.0929814
pillow	0.0928507
furniture	0.0922751
"hotel room"	0.0910501
tent	0.0909038
window	0.0898477
blanket	0.089685
tub	0.088965
fireplace	0.0878924
house	0.0877424
toilet	0.0875256
closet	0.0873156
wall	0.0872579
tree	0.0867503
crib	0.0866601
door	0.0866197
bunk	0.0863123
pool	0.0856223
garden	0.0853537
home	0.0838495
classroom	0.0804566
shelf	0.0803012
carpet	0.080229
space	0.0800102
bar	0.0799605
sink	0.0795567
mat	0.0795485
roof	0.0789861
porch	0.0785543
cabin	0.0785462
shelter	0.0781365
rug	0.0779482
hotel	0.0777987
garage	0.0777214
wheelchair	0.0775729
building	0.0765226
suite	0.0764182
grass	0.0761587
"living room"	0.0758402
cab	0.0757914
stove	0.07556
lamp	0.0752179
refrigerator	0.0746788
hospital	0.0744044
bench	0.0740595
armchair	0.0739769
lawn	0.0739064
pile	0.0737265
ground	0.0735575
bag	0.0734597
balcony	0.0733581
cloth	0.0732073
deck	0.0731586
sidewalk	0.0730663
plate	0.0729993
trailer	0.0726569
field	0.0718461
drawer	0.0712727
water	0.0708216
sheet	0.0705918
street	0.0705553
bath	0.069868
trunk	0.0698109
pit	0.0696481
container	0.0693571
"coffee table"	0.0692353
"parking lot"	0.0691123
coffin	0.0689147
locker	0.0689112
back	0.0688483
truck	0.0686601
boat	0.0683118
"dining room"	0.0682486
cage	0.0680972
patio	0.0680232
stool	0.0679719
surface	0.0676941
terrace	0.0675159
beach	0.0674062
vehicle	0.0673551
hallway	0.0673362
booth	0.0672784
pot	0.0671056
Grave	0.0669964
cubicle	0.0667305
restaurant	0.0665671
park	0.0663132
area	0.0661604
office	0.0661564
shower	0.0660514
yard	0.0660229
screen	0.0659212
ceiling	0.0654353
frame	0.0654072
dish	0.065212
courtyard	0.0649899
tray	0.0647651
feet	0.0647423
bookcase	0.0646804
elevator	0.0646599
driveway	0.0646397
gym	0.0643698
basement	0.0643184
"swimming pool"	0.0641062
sleep	0.06388
top	0.0632093
shop	0.0630968
carpeting	0.0627852
towel	0.0627785
"sleeping bag"	0.0624658
care	0.0624262
shoe	0.0619556
bus	0.0619225
nest	0.0616047
library	0.0615643
accommodation	0.061411
bookshelf	0.0612835
row	0.0611192
flower	0.0610263
seating	0.0608967
piece	0.0605308
facility	0.0603747
cottage	0.0602026
van	0.0601566
furnishings	0.0597884
cell	0.0597432
corner	0.0596362
hut	0.0596154
school	0.0594936
barn	0.0594906
pond	0.0594119
layer	0.0593971
store	0.0593766
glass	0.0593086
camp	0.0591611
tile	0.0591397
basket	0.0591378
rack	0.0589808
suitcase	0.0587139
chest	0.0586874
bowl	0.0585048
studio	0.058376
bunker	0.0582226
bucket	0.0581908
nursery	0.0581738
gate	0.0581329
hall	0.0580616
phone	0.0578391
wood	0.0578108
Tower	0.0577612
hole	0.0575827
square	0.0574486
Hood	0.0574432
road	0.0574207
grill	0.0574152
farm	0.0572431
dock	0.0572318
fence	0.0572214
chandelier	0.0571636
doorway	0.0571544
patch	0.0569036
Mound	0.0568644
pocket	0.0568525
body	0.0567451
ICE	0.0565191
block	0.0564823
pipe	0.0564455
Bin	0.0564307
jail	0.0563614
gallery	0.056266
rock	0.0562419
spot	0.0562365
pad	0.0561447
cafe	0.05606
"waiting room"	0.0559636
meal	0.0559624
soil	0.0558367
ring	0.0557153
mirror	0.0556777
line	0.0555528
center	0.0555296
bridge	0.0555272
motel	0.055469
))
("bed linen" (desc 1379.85) (sims
linen	0.0972364
handbag	0.0874411
bathrobe	0.086467
bedding	0.0813996
tablecloth	0.0810358
outerwear	0.0798066
toiletry	0.0747232
silverware	0.0746802
"coffee maker"	0.0696878
"toilet paper"	0.0665845
fleece	0.0607515
shawl	0.0592886
"outside mirror"	0.0586754
utensil	0.0569288
pillowcase	0.0561871
fibre	0.0548096
overcoat	0.054783
lint	0.0546943
dinnerware	0.0546577
smock	0.0509035
cutlery	0.0505379
Comes	0.0496804
"alarm clock"	0.0496636
"bed sheet"	0.0496538
pullover	0.048053
"canned goods"	0.0476199
"paper bag"	0.0472316
bib	0.0470732
bedspread	0.0464184
corduroy	0.0453463
"cooking utensil"	0.0442233
nightgown	0.0440744
"sports equipment"	0.043576
upholstery	0.0426733
bandanna	0.0422394
Poncho	0.0414752
"evening gown"	0.0410687
raincoat	0.0407716
capris	0.0407691
"Defense General Supply Center"	0.0405692
sportswear	0.0404858
phyllo	0.0404058
"hot pants"	0.0401611
))
("bed sheet" (desc 1114.38) (sims
bedding	0.125147
"sleeping bag"	0.122982
sheeting	0.115575
bedsheets	0.107606
utensil	0.10282
"cooking utensil"	0.100018
pillowcase	0.0930001
"mosquito net"	0.0901446
"space heater"	0.0866937
quilt	0.0848214
toothpaste	0.0830932
"rolling pin"	0.0830661
tarpaulin	0.0796568
toothbrush	0.077813
bedspread	0.0773696
cot	0.0762801
tarp	0.0714169
toiletry	0.0708899
handkerchief	0.0708572
"kerosene lamp"	0.0706374
disinfectant	0.0693654
Poncho	0.0692422
"toilet paper"	0.0659876
"fishing line"	0.0656637
raincoat	0.0650156
bandanna	0.0647585
"insect repellent"	0.064744
"medical aid"	0.064317
tablecloth	0.064303
cookware	0.0636628
overcoat	0.0630387
knitwear	0.0620361
bandana	0.0605352
"bathing suit"	0.0600687
flamethrower	0.0599564
"rocket fuel"	0.0594158
"cutting board"	0.058508
kitchenware	0.0582802
"water bottle"	0.0580133
"plastic wrap"	0.0573658
caftan	0.0572651
bullhorn	0.0571773
"food additive"	0.0568977
signboard	0.056714
"four lines"	0.0556533
Sheets	0.0554978
Firewood	0.0549778
"ballpoint pen"	0.0548426
swimsuit	0.0547151
"canned food"	0.0541883
"household product"	0.0540165
"Good Book"	0.0539052
upholstery	0.0535341
streamer	0.0533316
"water pump"	0.0527861
"paper bag"	0.0524662
"paper towel"	0.0518453
"ball bearing"	0.0518383
"dog tag"	0.0517006
"fire wall"	0.050671
"rubber band"	0.050499
"household appliance"	0.0500431
gouache	0.0500334
"synthetic fiber"	0.049719
sawdust	0.0496856
gourd	0.0496541
"bed linen"	0.0496538
comforter	0.0491981
"grocery bag"	0.0482547
shawl	0.048135
sandpaper	0.0480637
lampshade	0.0480265
"Border collie"	0.0472602
"prayer shawl"	0.0472113
stethoscope	0.0470134
"suspension bridge"	0.0469633
"garbage truck"	0.0469205
bunting	0.0467646
"hunting knife"	0.0465761
"pedestrian bridge"	0.0464554
carpeting	0.046365
aphorism	0.0463389
"ski mask"	0.046326
wallboard	0.0461085
"black flag"	0.0460615
"Meet Joe Black"	0.0458992
"boxing glove"	0.0458538
"tin can"	0.0457431
canteen	0.0457381
handbill	0.0456961
adornment	0.0455972
"water jug"	0.0452465
"life raft"	0.0451178
racquet	0.0450171
twine	0.0446892
"feather boa"	0.0446778
"repertory company"	0.0446451
snowshoes	0.0440207
"extension cord"	0.0439165
"electric fan"	0.0437251
"facial expression"	0.043566
"hair spray"	0.0433636
"packing material"	0.0429401
"point system"	0.0429385
swab	0.042937
mitt	0.0426165
"card table"	0.0424561
"life jacket"	0.0424308
"love seat"	0.0423424
saucer	0.0422469
"woman's body"	0.0422152
cheesecloth	0.0421609
"light touch"	0.0421565
"double boiler"	0.0420588
"body armor"	0.0420261
frond	0.0419719
"razor blade"	0.0418846
"duffel bag"	0.0418146
"exercise equipment"	0.0417578
defibrillator	0.0414994
reagent	0.0414226
"weather satellite"	0.0412889
cellphone	0.0409827
"railroad car"	0.0406874
"nail polish"	0.0403841
"fountain pen"	0.0403392
moisturizer	0.0402753
"laundry detergent"	0.0402546
))
(bed-and-breakfast (desc 2775.76) (sims
bed-and-breakfasts	0.117472
inn	0.114461
"B&AMP;B"	0.112479
guesthouse	0.0951885
teahouse	0.0883903
"resort hotel"	0.0805441
"boarding house"	0.0803544
condo	0.0793871
delicatessen	0.0781119
cottage	0.0771003
saloon	0.0755554
campsites	0.0730682
"butcher shop"	0.0728554
campsite	0.0702679
"tea house"	0.0698684
"Grand Hotel"	0.0692488
motel	0.0685838
campgrounds	0.0673783
"town house"	0.0673479
campground	0.0673263
"food shop"	0.0668427
"jewelry store"	0.0661644
Steakhouse	0.0661554
nunnery	0.0651638
"log cabin"	0.0651261
"art gallery"	0.0648542
"clothing store"	0.0638374
"liquor store"	0.0630179
spas	0.0627958
"rooming house"	0.0627689
"gambling casino"	0.0626468
pub	0.0621443
"Rainbow Room"	0.0620897
bungalow	0.0619197
"supper club"	0.0615323
condominium	0.0613004
"beach house"	0.0605114
eateries	0.0604725
"beauty shop"	0.0601237
"gift shop"	0.0582493
farmhouse	0.0581029
speakeasy	0.0578043
Sheraton	0.0575771
"suspension bridge"	0.0573143
Chateau	0.0571507
bistro	0.0563603
bakery	0.0557132
"vacation home"	0.0553178
discotheque	0.0552253
chalet	0.0551527
"minor-league team"	0.0550654
nightspots	0.0548556
"holiday resort"	0.0547492
"dairy farm"	0.054365
hideaway	0.053971
"shopping mall"	0.0538616
"toy store"	0.0537537
SPA	0.0536754
"entertainment center"	0.0535454
tavern	0.0531449
two-bedroom	0.0530437
"general store"	0.0529858
boutique	0.0525382
manor	0.0523477
"summer house"	0.0518668
"recreational facility"	0.0511907
"movie theater"	0.0511451
"ball club"	0.0507597
hostel	0.0506518
"shopping center"	0.0505669
"coffee shop"	0.0504972
"cattle ranch"	0.0504334
"retail store"	0.050358
"restaurant chain"	0.0502423
"retail chain"	0.0501992
"dance hall"	0.0496596
"conference center"	0.0495305
"bowling alley"	0.0494611
"tourist hotel"	0.0493692
manse	0.0492923
crematorium	0.0489606
"funeral home"	0.0488172
sanitarium	0.0486595
"grocery store"	0.0484474
Bellagio	0.0482588
"art school"	0.0481773
Marina	0.0477946
"gas station"	0.0477141
decor	0.047645
"petrol station"	0.0471929
dealership	0.0470144
lodging	0.0469053
"country house"	0.0466377
brownstone	0.0463339
Hyatt	0.0461627
Brasserie	0.0461317
"drawing room"	0.0459214
"truck stop"	0.0457401
"Plaza Hotel"	0.045657
"carriage house"	0.0456349
"observation post"	0.0455111
"period piece"	0.0450989
"savings bank"	0.0450816
"service agency"	0.0449609
subgenre	0.0445665
"public square"	0.0444622
"Andrews Air Force Base"	0.0444074
"training school"	0.0440971
Marriott	0.0437688
"convenience store"	0.0436299
"community center"	0.0434715
settee	0.0433566
"beauty salon"	0.0432744
"law practice"	0.0432635
trifle	0.043223
atelier	0.0432115
orphanage	0.0431154
"botanical garden"	0.0430433
emporium	0.0429974
parlor	0.0426546
"young lady"	0.0426104
"service station"	0.0425973
"boarding school"	0.0425432
"parcel of land"	0.0423579
arcade	0.0422385
"music school"	0.0421413
finery	0.0419758
"Logan International Airport"	0.0418533
boulevard	0.0416537
footbridge	0.0416279
"Holiday Inn"	0.0414727
townhouse	0.0413892
infirmary	0.041239
"paper mill"	0.0410982
"amusement park"	0.0410164
Sugarloaf	0.0409792
barbershop	0.0408013
"Seasons Hotel"	0.0407949
"Greek Revival"	0.0406447
"ice rink"	0.0405793
"day care center"	0.040534
distillery	0.0405176
Bathhouse	0.040426
Highbury	0.0401897
))
(bed-and-breakfasts (desc 2813.07) (sims
campgrounds	0.146953
guesthouse	0.145606
inn	0.133588
bed-and-breakfast	0.117472
eateries	0.109106
motel	0.106453
spas	0.100096
teahouse	0.0919762
"food shop"	0.0919306
townhouses	0.089626
Marina	0.0881742
"golf course"	0.0870652
"liquor store"	0.0844815
"art gallery"	0.0835299
condo	0.0825393
condominium	0.0810298
"shopping center"	0.0806357
"office building"	0.0790199
"gas station"	0.078182
campsites	0.0776151
"conference center"	0.0774001
"general store"	0.0770704
"chain store"	0.0762408
"tea house"	0.075969
hotspots	0.0758606
"office block"	0.0748646
SPA	0.0736426
godown	0.0732332
"town house"	0.0711353
cottage	0.0710548
"beauty parlor"	0.0707305
saloon	0.0697281
"service station"	0.0693202
"recreational facility"	0.0686606
megaplexes	0.0685658
"Hard Rock Cafe"	0.0681954
"entertainment center"	0.0678381
bungalow	0.0668928
tavern	0.0661111
winery	0.0655607
"grocery store"	0.0651532
"shopping mall"	0.0642437
"car dealer"	0.0637407
"amusement park"	0.0632826
boutique	0.0625653
"beauty salon"	0.062283
"commercial enterprise"	0.0617818
ISPs	0.0616269
stalls	0.0615935
"retail store"	0.0615657
"travel agency"	0.0612921
"dance hall"	0.0607128
kiosk	0.0605642
nightspots	0.0605187
bakery	0.0601339
"place of worship"	0.0601335
"movie theater"	0.0597427
Shangri-la	0.0596666
"mobile home"	0.0592786
hostel	0.0590726
dealerships	0.058976
arcade	0.0587349
"cruise ship"	0.0585186
dumps	0.058332
"theme park"	0.0583269
Hyatt	0.0583213
storefront	0.0582319
Bathhouse	0.0581987
"movie house"	0.0581799
lodging	0.0572161
farmhouse	0.0570239
"apartment building"	0.0565973
stadia	0.0565549
"trailer park"	0.0560848
pawnshop	0.0559002
quarterfinalists	0.0558188
duplex	0.0555193
"jewelry store"	0.0555048
parlor	0.0553786
ECNs	0.0552331
pub	0.0551562
nonprofits	0.0550861
steamboat	0.0549962
"funeral home"	0.0546225
"convenience store"	0.0544141
DC-@s	0.0543909
riverboats	0.0542673
tacklers	0.054239
"sailing vessel"	0.0538563
co-op	0.0537613
"concert hall"	0.0529301
QBs	0.0526544
"personal property"	0.0523877
crewmates	0.0522798
"hundred million dollars"	0.0521992
"gift shop"	0.0521609
"B&AMP;B"	0.0520896
shack	0.0518341
standouts	0.0517973
drugstore	0.0513489
"supporting players"	0.0513481
delicatessen	0.0512245
rebounders	0.0511539
bistro	0.0507807
high-rise	0.0503401
"three schools"	0.0502795
pallbearer	0.0502694
"office space"	0.0502243
firsts	0.0501854
florist	0.0501268
hospice	0.0500079
multiplex	0.0499364
speakeasy	0.0494907
chalet	0.049176
"bowling alley"	0.0491631
"Final Fours"	0.0488848
outfitter	0.0488739
"mechanical device"	0.0487942
Copt	0.0486008
birder	0.0485067
amenity	0.0482836
"resort hotel"	0.0482703
boulevard	0.0481943
Marriott	0.0481254
freebies	0.047852
"botanical garden"	0.0478063
hypotheses	0.0477569
"oil well"	0.0473116
"shipping company"	0.0472886
outbuilding	0.0471272
"telephone booth"	0.0468902
"shoe store"	0.0467638
"Christian church"	0.0465518
"wine cellar"	0.0465515
kennel	0.0465139
minicamps	0.0463581
"house of worship"	0.0462113
"coffee bar"	0.0461493
campground	0.0461416
Atlantans	0.0460648
Sheraton	0.0460492
"hundred thousand"	0.0460334
"specialty store"	0.0460262
subdivision	0.0459222
"beach house"	0.0456374
"petrol station"	0.0455923
"post office"	0.0455508
"cattle ranch"	0.0455237
highflier	0.0453103
"oil rig"	0.0451517
"home builder"	0.0450827
metropolises	0.045018
"body of water"	0.0449583
"educational institution"	0.04492
"carriage house"	0.0449197
"repair shop"	0.0446453
seminarian	0.0445719
townsfolk	0.0443755
Steakhouse	0.0442403
dispensary	0.044228
chapel	0.0440468
dacha	0.0439991
flashpoints	0.0439737
"trading post"	0.0439638
bookshop	0.043898
"landing strip"	0.0438844
"public square"	0.0438668
tarpon	0.0436667
meltdowns	0.0434523
"business line"	0.0434397
"church member"	0.0434165
"tourist hotel"	0.0433929
"sugar refinery"	0.0431707
"holiday resort"	0.0429966
"clothing store"	0.0428231
"town hall"	0.0428083
coffeehouse	0.0427389
"housing development"	0.0425583
"weather satellite"	0.0424351
preservationists	0.0424293
discotheque	0.0422905
brownstone	0.0422891
"piece of land"	0.0422888
"polling place"	0.0422819
"motel room"	0.0422681
"cash machine"	0.042252
sub-projects	0.0422183
techies	0.0421999
"business establishment"	0.0421713
"filling station"	0.0421004
"boom town"	0.0420554
alleyway	0.0418824
singer-songwriters	0.0416662
newsmagazines	0.041538
"New York Democrats"	0.0415351
Cabana	0.0415029
consortia	0.0413473
"picnic area"	0.0413323
guardsmen	0.0413262
"manufacturing plant"	0.0412451
))
(bedding (desc 6243.89) (sims
"cooking utensil"	0.135462
mattress	0.133627
housewares	0.132424
quilt	0.130091
drapery	0.127582
toiletry	0.126631
"bed sheet"	0.125147
linen	0.124328
blanket	0.124235
Clothing	0.124035
"household appliance"	0.116597
towel	0.115591
furniture	0.115464
kitchenware	0.114293
upholstery	0.113405
sheeting	0.113271
utensil	0.113032
knitwear	0.112492
"sleeping bag"	0.111929
cookware	0.10849
furnishings	0.106541
cosmetic	0.105215
apparel	0.105062
rug	0.103676
accessory	0.0998302
cloth	0.0997619
foodstuff	0.0991785
handicraft	0.0968934
"home appliance"	0.0968034
"sports equipment"	0.0967134
jewelry	0.0956028
appliance	0.0946049
"pet food"	0.0937965
"mosquito net"	0.0924562
diaper	0.0924185
footwear	0.0921191
flooring	0.09176
pillow	0.091474
carpeting	0.0913823
bedspread	0.0911053
"medical aid"	0.0897395
luggage	0.0893833
glassware	0.0892002
comforter	0.087811
textile	0.0875603
sportswear	0.0875208
toy	0.0857667
stationery	0.0850539
garment	0.0850299
Firewood	0.0846225
carpet	0.0842685
tarp	0.0822255
cot	0.0822158
fabric	0.0820821
"bed linen"	0.0813996
"food product"	0.081191
"consumer electronics"	0.0800218
"wall hanging"	0.0799307
bedsheets	0.0797374
"building material"	0.0772599
pillowcase	0.0745918
lampshade	0.0741782
bric-a-brac	0.0740599
ceramic	0.0738273
linoleum	0.073592
mat	0.0732416
"computer hardware"	0.0731281
wallpaper	0.0730248
"cooking oil"	0.07296
tent	0.0719708
sheet	0.0717962
"canned food"	0.0717871
"office furniture"	0.0714904
tarpaulin	0.071381
underwear	0.0708088
lingerie	0.0702868
shoe	0.0701635
knickknack	0.0694728
belonging	0.0693164
grocery	0.0691612
handbag	0.068946
collectibles	0.0687892
lamp	0.0683893
Swimwear	0.0681335
"interior decoration"	0.0678153
"toilet paper"	0.0676391
pharmaceutical	0.0674548
Pottery	0.067076
tablecloth	0.0670744
lumber	0.0666652
beverage	0.0664451
"medical instrument"	0.0662627
paraphernalia	0.0661693
jewellery	0.0652049
electronics	0.0650822
"video equipment"	0.0646329
backpack	0.06445
"drinking water"	0.0643911
"canned goods"	0.0640115
"golf equipment"	0.0640001
padding	0.0636457
overcoat	0.0635599
leather	0.0635103
"consumer goods"	0.0632917
flashlight	0.0629607
antique	0.0628513
"life jacket"	0.0628443
"frozen food"	0.0627519
tile	0.0625308
"paper towel"	0.0615746
"spare part"	0.0615561
fertilizer	0.061529
disinfectant	0.0615059
"fresh food"	0.0613956
mulch	0.0612376
"golf club"	0.0611302
curtain	0.0609921
"electronic equipment"	0.060831
tableware	0.0607436
"tea set"	0.0605879
stove	0.0605467
"bathing suit"	0.0600884
covering	0.0598364
"lawn chair"	0.0597677
chintz	0.0597002
perfume	0.0592465
"bathroom fixture"	0.0590092
"water bottle"	0.0588556
hosiery	0.0583483
headboard	0.0582001
"car seat"	0.0581933
REPELLENT	0.0580558
decor	0.0577402
"running shoe"	0.0577392
"exercise equipment"	0.05753
hardware	0.0574679
ration	0.0573376
eyewear	0.0573033
Lighting	0.0572408
suitcase	0.0571422
"health food"	0.0570529
silk	0.0569441
pajama	0.0568137
laundry	0.0566314
souvenir	0.0566061
soap	0.0565439
toothbrush	0.0564946
Poncho	0.0564528
"washing machine"	0.0563577
memorabilia	0.0563485
"packing material"	0.0559208
eyeglass	0.0557576
sofa	0.0556439
candy	0.0556119
"durable goods"	0.0555142
hairstyle	0.0553606
cushion	0.0550618
sock	0.0550602
"lighting fixture"	0.0550484
tapestry	0.0549314
ornament	0.0546537
"water heater"	0.0541656
silverware	0.0541319
"household product"	0.0539683
cutlery	0.0537383
woolen	0.0537236
"greeting card"	0.0536916
shampoo	0.053471
wool	0.053094
fur	0.0530866
"folding chair"	0.0530148
necktie	0.0529964
yarn	0.0529066
"insect repellent"	0.0527925
scarf	0.0526711
conditioner	0.052446
detergent	0.0524438
denim	0.05235
Fragrance	0.0517584
porcelain	0.0517294
kit	0.051584
Plywood	0.0515794
napkin	0.0515786
"alarm clock"	0.0514698
merchandise	0.051178
"coat of paint"	0.0508161
sunglasses	0.0507699
swimsuit	0.0504843
tailoring	0.0504663
RVs	0.0503221
"machine tool"	0.0502918
"sheet music"	0.0501092
jute	0.049872
decoration	0.0496104
cashmere	0.0496103
"musical instrument"	0.0496061
noodle	0.0495235
"blue jean"	0.0494183
fibre	0.0492228
"hypodermic needle"	0.0492198
))
(Bedell (desc 1186.18) (sims
Durwood	0.145335
Lileikis	0.142079
Tilberis	0.12558
McWilliams	0.123729
Byrdsong	0.122758
Siskel	0.117639
"Griffith Joyner"	0.117042
"welfare worker"	0.112647
Cavallo	0.111062
Shurmur	0.105721
Knievel	0.104731
"La Mont"	0.103713
Akinwande	0.103436
Nkabinde	0.102105
Cavanaugh	0.101984
Sang	0.101362
Laudor	0.100221
Meston	0.0995024
Hamid	0.0989474
Pippig	0.0961609
Dokmanovic	0.095374
Kenna	0.0951863
Baumhammers	0.0947772
Rankin	0.0947257
Skuratov	0.0945466
Jewell	0.093619
Matasareanu	0.0914257
leeson	0.0898989
Youk	0.0897559
Kovacevic	0.0893048
Gullit	0.0881043
Rodionov	0.0879485
Garofalo	0.0870598
Kurth	0.0867757
Nivel	0.0865934
FloJo	0.0862903
Lindros	0.0856313
Bodine	0.085279
Biko	0.0851627
Nkomo	0.0845898
Robison	0.0838981
Twenty-seven	0.0835712
Perrot	0.0835581
Asprilla	0.0830813
Stayner	0.0829345
Hage	0.0828681
Weston	0.0827654
Craxi	0.0826458
Whitacre	0.0823585
"second person"	0.0819798
Nathaniel	0.0814858
Neulander	0.080918
Webdale	0.0802419
Binion	0.0797498
Naumann	0.0795429
Sotomayor	0.0790934
Ramseys	0.0779148
Baez	0.0777161
Pearce	0.0774365
nance	0.0767578
Chevenement	0.0761562
Abernathy	0.0757422
Shara	0.0757134
Schmalensee	0.0756486
Harrell	0.075373
Trudeau	0.0750045
"two @@-year-olds"	0.0748294
"El Hage"	0.0747837
"Sang Lan"	0.0747042
Irvan	0.0744591
Coelho	0.0743313
Maradona	0.0742515
Haney	0.0741074
Leto	0.0741
Warshaw	0.0740396
Holzman	0.0736168
Fassett	0.0735891
Raducan	0.0735474
Goldstein	0.0731024
Gathers	0.0730702
Jayasinghe	0.0724534
Ponciano	0.0724053
Harris-Lewis	0.0721346
Trantino	0.0718582
Drabinsky	0.0717387
Merrick	0.0714632
Hearn	0.0713467
Landry	0.0712068
Cayugas	0.0708742
"Cary Stayner"	0.0704143
Gantamirov	0.0703731
Shepard	0.0703452
Papandreou	0.070332
Dominguez	0.0703086
Zarkin	0.0703044
Norberg	0.0702988
Baumann	0.0699893
McLaughlin	0.0697561
Siripongs	0.0697436
Giacchetto	0.0696258
"Bora Milutinovic"	0.0695932
Mattysse	0.0694011
"Patsy Ramsey"	0.0691981
al-Tikriti	0.0691004
Faulder	0.0690925
Fiedler	0.0688757
Copeland	0.068835
Mikhailov	0.0687993
Kurtz	0.0687112
Postel	0.0686915
Snead	0.0686908
Kodikian	0.0686284
"Kim Perrot"	0.0684396
Farrakhan	0.0684244
Blackthorne	0.0683699
Dierker	0.0683367
Marulanda	0.0682326
Swango	0.068018
Alves	0.0678113
Raduyev	0.0677655
"Maturino Resendiz"	0.0676123
Nakata	0.0674087
Zhivkov	0.0670468
Levesque	0.0670367
Krstic	0.0668361
ARI	0.0666419
Mendez	0.0666402
Faison	0.0665177
"Todd Bodine"	0.066488
Lawler	0.0663837
Kirby	0.0662031
Piggie	0.065828
Fahd	0.0656246
Northup	0.0653703
Reimer	0.065038
Ershad	0.0649268
Priebke	0.0648532
"Del Toro"	0.0647489
Demjanjuk	0.0645932
Middleton	0.0645802
Timmy	0.0644235
Virenque	0.0642006
"another seven"	0.0641889
Kazhegeldin	0.0638219
Smolinski	0.0637098
noone	0.0636881
Khalil	0.0636874
Chukwu	0.0636734
Garza	0.0635596
Mease	0.0634836
Jenoff	0.0633262
"Abu Nidal"	0.0633154
Ntakirutimana	0.0632226
Recchi	0.0631173
"Russian Parliament"	0.063033
Phelan	0.0629987
Sibley	0.062779
Nyerere	0.0627373
Brogna	0.0626642
Downey	0.0625931
Havel	0.0625609
Stokes	0.062539
Protas	0.0623426
Barker	0.062288
"Matthew Eappen"	0.0621614
Dumas	0.0620714
Chmura	0.0620439
"Barry Switzer"	0.0619186
Navarro	0.0618919
Munoz	0.0617163
Neilson	0.0616811
Lundy	0.061577
Isringhausen	0.0615107
Callaghan	0.0612456
Vasquez	0.0611992
Borodin	0.0608429
Karr	0.060816
Nikitin	0.0605853
Hollandsworth	0.0604757
Nebiolo	0.0602723
"another three"	0.0601679
Sakic	0.0599342
"another @@@,@@@"	0.0599257
Fortier	0.0598558
Gerardi	0.0595772
Zacarias	0.0594666
Zucker	0.0594608
Haughey	0.0593945
"John Kim"	0.0593692
Collymore	0.0593554
Chenoweth	0.0590434
"John Kennedy Jr."	0.0589315
Joklik	0.0588783
Loretta	0.0588562
Ernst	0.0587772
Cory	0.0587392
Trischitta	0.0587257
Cassie	0.0586914
Ramsey	0.0585069
Puente	0.0583894
))
(bedfellow (desc 1835.08) (sims
juxtaposition	0.0821869
anticlimax	0.0721222
kingmaker	0.0718547
goings-on	0.0694029
blinder	0.0686769
"turn of events"	0.0684572
contortion	0.0680304
expedient	0.0662731
match-ups	0.0652451
queer	0.0651452
soulmate	0.0644344
"Thandie Newton"	0.0639921
"Great Divide"	0.0637336
kinship	0.0635261
avocation	0.0610127
amalgam	0.0608134
"soul mate"	0.0603809
"line of work"	0.0598393
zealotry	0.0591843
mishmash	0.0582548
fief	0.0579205
coupling	0.0565801
absolutes	0.0564763
realignments	0.0562275
multimillionaires	0.0549866
confluence	0.0548283
coda	0.0548026
knickknack	0.0528871
"hot potato"	0.0524856
metamorphosis	0.0523968
dichotomy	0.0523295
fiefdoms	0.0522433
"state of affairs"	0.0522368
subgenre	0.0514753
"Private Ryan"	0.0512955
preserves	0.0512101
dissonance	0.0512038
"fault line"	0.0511954
"Pinot blanc"	0.0506702
Vocation	0.0504398
colloquy	0.0504239
symbiosis	0.0503094
playmakers	0.0501671
"mechanical device"	0.0498752
miscue	0.0493056
"waiting game"	0.04869
hackle	0.0486096
cohesion	0.0484031
"fictional character"	0.0482564
resonance	0.0481531
alchemy	0.0481381
playlist	0.0479268
"pressure group"	0.0478269
harder	0.0476405
lovefest	0.0476385
vibes	0.0475739
TINDERBOX	0.0474995
"Little Dog"	0.047482
"woman's body"	0.0470064
prognosticator	0.0469948
cohabitation	0.0466361
synergy	0.0464752
aftertaste	0.0464425
"skin disease"	0.0463688
contraption	0.0460093
user-friendly	0.0460041
"heavy hitter"	0.045826
factoids	0.0455603
pacifist	0.0453321
wandering	0.0448338
"fall guy"	0.0448119
happenstance	0.0448074
cesspool	0.0447332
"life form"	0.0445619
slugfest	0.0445254
"breathing room"	0.0444788
repast	0.0444393
bullfighter	0.0444057
Vermonter	0.0443192
"financial gain"	0.0441292
"Corcoran Gallery"	0.0439678
lovemaking	0.0439244
nonstarter	0.0434144
"earnings disappointment"	0.0433576
pinata	0.0433043
radiance	0.0432367
warhorse	0.0429491
indentation	0.0429361
dogfight	0.042855
goings	0.0427762
finger-pointing	0.0426982
revisionism	0.0426653
Masterworks	0.0426149
"Jar Jar"	0.0424956
progeny	0.0420466
"flower arrangement"	0.0420171
"guessing game"	0.0419136
cataclysm	0.0418546
stratagem	0.0417959
schoolwork	0.0417265
Slav	0.0415464
"business enterprise"	0.0414054
archetype	0.0412262
miscalculation	0.041201
"sight gag"	0.0411738
sandbox	0.0411451
labor-intensive	0.0411057
"public speaker"	0.0408995
undercurrent	0.0408641
neuroses	0.0408267
"cup of tea"	0.0407003
twosome	0.0406287
oomph	0.0406183
contentment	0.0405853
"staying power"	0.0405498
tangent	0.0405402
groundswell	0.0404955
prong	0.040481
horse-trading	0.0404781
"gefilte fish"	0.0403943
guidepost	0.0403547
Buicks	0.0403088
preconception	0.0401568
penitence	0.0401302
indigestion	0.0400487
"New Democrats"	0.0400473
"Howdy Doody"	0.0400411
widget	0.0400391
))
(Bedford (desc 7434.28) (sims
Nashua	0.151261
Concord	0.140166
Portsmouth	0.128828
Hempstead	0.127037
Chappaqua	0.121108
Lexington	0.111492
Salem	0.11014
"New Rochelle"	0.109678
Manchester	0.106464
Cambridge	0.105969
MINEOLA	0.104776
Pelham	0.103448
Amherst	0.103221
Walpole	0.10313
"East Hampton"	0.101963
Yonkers	0.100999
bethel	0.0991615
Gloucester	0.0979862
Greenwich	0.0979593
"White Plains"	0.0978399
BRIGHTON	0.0976366
Englewood	0.0973996
Peterborough	0.0965203
Claremont	0.0958494
Dover	0.0957022
Chatham	0.0951808
Marlborough	0.0950089
Montclair	0.0934211
Waltham	0.0931582
"Fort Worth"	0.0929861
Newton	0.0927728
Pittsfield	0.0927534
Bridgehampton	0.0919007
Watertown	0.0916184
"Lake Worth"	0.0913116
Windham	0.0908223
Northampton	0.0906419
"Des Moines"	0.0898352
Arlington	0.0897883
Madison	0.0895254
Huntsville	0.0893652
Wilmington	0.0874369
Derry	0.0873491
Framingham	0.0872012
Milford	0.0870337
Stamford	0.0869211
Brookline	0.0863857
"Saratoga Springs"	0.0861021
Austin	0.0854937
Hanover	0.0846615
SEABROOK	0.0835963
Richmond	0.0835613
"Garden City"	0.0835044
Amarillo	0.0835037
Uniondale	0.0833334
"Palo Alto"	0.08332
Hollis	0.0829728
Poughkeepsie	0.0828998
"New Haven"	0.0828904
Holyoke	0.0828128
Somerville	0.0827699
Springfield	0.0824247
"New London"	0.0823963
"Overland Park"	0.0822662
Skaneateles	0.0822411
Fairfield	0.0821197
Alexandria	0.0819723
Woburn	0.08196
Barrington	0.0818262
"Palm Beach"	0.0817533
Albany	0.0809061
Farmington	0.0804831
"Woodland Hills"	0.0804117
Carmel	0.0803146
Williamstown	0.0802703
Andover	0.0802365
Greenville	0.0797371
Lufkin	0.0797251
"La Jolla"	0.0795559
Lenox	0.0795314
Westport	0.0791709
Hudson	0.0791251
"West Palm Beach"	0.078998
Londonderry	0.0789501
Lafayette	0.0789386
Bethesda	0.0787735
Glendale	0.0787733
Longview	0.07839
"Westchester County"	0.078241
Mansfield	0.0780723
Elmira	0.0779457
Durham	0.0778162
franklin	0.077801
Decatur	0.0777574
"East Orange"	0.0777166
Latham	0.0776842
Norwich	0.0775115
Westfield	0.0774866
Alpharetta	0.0770345
Brewster	0.0768641
Bloomington	0.0767361
Worcester	0.0758861
Needham	0.0758387
canton	0.075821
Plymouth	0.075466
Falmouth	0.0752077
"El Paso"	0.075196
Rockville	0.0747643
"East Rutherford"	0.0747124
Quincy	0.0746503
Hopkinton	0.0746448
Tarrytown	0.0743322
Providence	0.0743288
"Santa Fe"	0.0740558
Keene	0.0735944
Eureka	0.0734808
"Round Rock"	0.0734768
Hartford	0.0733034
Medford	0.073237
"San Antonio"	0.0732014
Carrollton	0.0728576
Windsor	0.0726209
"San Rafael"	0.0725879
Port-au-Prince	0.072446
"Grand Prairie"	0.0724289
Harrisburg	0.0723561
Exeter	0.0723464
Plano	0.0720904
"Silver Spring"	0.071799
Honolulu	0.0716007
Charlestown	0.071445
Carlisle	0.0714182
Albuquerque	0.0713494
"South Bend"	0.0712074
"Santa Monica"	0.0709227
Brownsville	0.0709181
"New Braunfels"	0.0708709
Utica	0.0707943
Melrose	0.0707143
Princeton	0.0706486
"Cedar Rapids"	0.0706243
Evansville	0.0704731
"Beverly Hills"	0.0704409
Greenfield	0.0701174
Chester	0.0700827
Brooklyn	0.0698115
Pasadena	0.0697555
Warwick	0.069743
Herndon	0.0697043
Burbank	0.0696858
"Walnut Creek"	0.0695281
riverside	0.0693516
Beverly	0.0692454
Burlington	0.0691569
Newark	0.0690649
Malden	0.0687857
Irvington	0.0687445
Memphis	0.0687252
Westchester	0.0684246
Raleigh	0.0683942
Columbus	0.0683361
Dublin	0.0681078
Sarasota	0.0679127
Freeport	0.0678974
Guadalajara	0.0678944
Berkeley	0.0678144
TRENTON	0.0675561
"Boca Raton"	0.0674493
Burlingame	0.0674434
"El Segundo"	0.0674055
Lancaster	0.0672151
Marietta	0.067128
Bellevue	0.066691
Middletown	0.0666558
Odessa	0.0665744
Duluth	0.0662348
"Cherry Hill"	0.0661952
Charleston	0.0661796
Texarkana	0.0661218
"Great Neck"	0.0661156
Montgomery	0.0660172
Lawrenceville	0.0659648
Hillsboro	0.0658695
Cornish	0.0658512
Portland	0.0657873
Irving	0.0657361
TARBORO	0.0657356
Phoenix	0.0654702
LAKEWOOD	0.0652114
Braintree	0.0652052
"Fort Lee"	0.0650968
Milwaukee	0.0650448
"San Sebastian"	0.0650162
Tijuana	0.0649972
Lawrence	0.0649117
"Fort Lauderdale"	0.0649064
Morristown	0.0648394
"Mount Vernon"	0.0648112
Jasper	0.0647468
Bangor	0.0647342
))
(Bedford-Stuyvesant (desc 2059.93) (sims
"Park Slope"	0.285073
Bensonhurst	0.268107
"East New York"	0.24813
"Brighton Beach"	0.238573
"Crown Heights"	0.209429
"Borough Park"	0.198114
"Bay Ridge"	0.195057
"Washington Heights"	0.182203
"Red Hook"	0.170391
Flatbush	0.167136
Williamsburg	0.133285
Buckhead	0.132953
"Hell's Kitchen"	0.125931
"Highland Park"	0.125289
Roxbury	0.120886
"Little Italy"	0.116558
Riverdale	0.115977
"East Harlem"	0.112807
"Hyde Park"	0.111659
Flushing	0.109681
"Forest Hills"	0.108761
"South Bronx"	0.106542
"North Beach"	0.105146
Astoria	0.103255
"Studio City"	0.102281
Chatsworth	0.101029
Dorchester	0.0994132
BRIGHTON	0.0979699
"Granada Hills"	0.096727
Tribeca	0.0957645
"San Felipe"	0.0939652
"Long Island City"	0.0922017
Brentwood	0.0905218
"Little Havana"	0.090334
Kensington	0.088975
Harlem	0.0877706
"East Los Angeles"	0.0865502
"Bel Air"	0.0859833
"College Park"	0.0855064
"Happy Valley"	0.0849396
"North End"	0.0841906
"East Village"	0.0833298
"Greenwich Village"	0.0821608
"Hollywood Hills"	0.0813859
"Garden City"	0.0787449
Ridgewood	0.0784793
Brixton	0.0777756
"Woodland Hills"	0.077216
"North Hollywood"	0.0762743
Westport	0.0759915
Brownsville	0.0750392
Zhongguancun	0.074364
Charlestown	0.0727725
"East St. Louis"	0.0726471
Chinatown	0.0724496
Watts	0.0723872
Stockbridge	0.0710322
"South Boston"	0.0709694
Englewood	0.0696762
"South Beach"	0.0687197
Wallingford	0.0684826
"West Village"	0.0684631
"South End"	0.0680656
"Old Town"	0.0680328
"Manhattan Beach"	0.067857
"skid row"	0.0662849
Dunwoody	0.0658456
"Van Nuys"	0.0657576
Harlingen	0.0657532
Yonkers	0.0648061
Mayfair	0.0639044
Tarzana	0.0636971
Naperville	0.0624958
"Chapel Hill"	0.0622098
riverside	0.0617814
Marjayoun	0.0617674
"Coney Island"	0.0615242
Pomona	0.0614914
"Fort Worth-Dallas"	0.061489
"Corpus Christi"	0.0604079
Soho	0.0603383
LAKEWOOD	0.0599107
"West Hollywood"	0.0597382
"Fort Myers"	0.0591968
Bronx	0.0590103
Melrose	0.0587112
"St. Albans"	0.0580046
Fremont	0.0576353
McAllen	0.0575649
"Beacon Hill"	0.0573197
"talk of the town"	0.0570876
Medford	0.0567232
Metroplex	0.0561002
"Left Bank"	0.0560542
Hasidic	0.055803
"East End"	0.0548013
Jasper	0.0547537
Encino	0.054726
"Port St. Lucie"	0.0546409
Northland	0.0541831
Shawnee	0.0541529
Brookline	0.0539307
Medina	0.0537664
Aberdeen	0.0533688
Piedmont	0.0533229
nosebleed	0.0523074
"Warren County"	0.0522143
"Culver City"	0.052008
Hollis	0.0515228
"Huntington Beach"	0.0514687
lakefront	0.0511075
"Overland Park"	0.05105
tenement	0.0507007
"Har Homa"	0.0506385
"Baton Rouge"	0.0506047
Abilene	0.0504126
Norwood	0.0503291
ghetto	0.0501392
Ijaw	0.0499136
"Shah Alam"	0.0497737
"West Los Angeles"	0.0496866
"San Fernando Valley"	0.0492839
Quincy	0.0492496
Bridgeport	0.0491158
oceanfront	0.0490208
Hoboken	0.0486983
Queens	0.0485243
"Santo Domingo"	0.0480307
"Brooklyn Heights"	0.0476418
Greenwood	0.0475795
Tempe	0.047486
nonwhite	0.0474351
Glendale	0.0471343
Westfield	0.0471087
Inglewood	0.0468752
ARCADIA	0.0467799
Port-au-Prince	0.046696
"Orthodox Jewish"	0.0466415
Irvington	0.0461557
"Fort Lee"	0.0461201
Braintree	0.0460867
Barrio	0.0459316
"Staten Island"	0.0455761
artsy	0.0455714
Igloo	0.0453205
"Jersey City"	0.0452868
Plano	0.0450971
Bloomfield	0.0449332
Palmdale	0.0448742
"Notting Hill"	0.0448408
"Grand Junction"	0.0448121
Redding	0.0447775
Warri	0.0447015
"Miami Beach"	0.0445697
Midtown	0.0445244
"Mount Pleasant"	0.0444761
Weimar	0.0443673
"police precinct"	0.0443066
Modesto	0.044248
Lawrenceville	0.0442433
Heidelberg	0.0441991
"New York Times Book Review"	0.0441108
Rey	0.0440887
MINEOLA	0.0439513
Cartagena	0.0439308
"Palm Beach Gardens"	0.0438411
"West Orange"	0.0437674
"Upper West Side"	0.0436605
"El Segundo"	0.0435678
Soweto	0.0434665
Holyoke	0.0434427
"Rockland County"	0.0433202
"Queen Anne"	0.0432213
Ballard	0.0431587
Compton	0.0431338
Lumbini	0.0430021
"frequently asked question"	0.0429499
Weston	0.0429125
Akron	0.042827
Medellin	0.0428118
ASHEVILLE	0.042786
"San Marcos"	0.042563
"Panama City"	0.042527
Lakeland	0.0424665
"Sherman Oaks"	0.0424285
"East Orange"	0.0423982
colonias	0.0422622
Pacoima	0.042224
"Jefferson City"	0.0422206
Monterey	0.0420317
"Fayette County"	0.041832
Chatham	0.0418247
"Westlake Village"	0.0417518
"La Jolla"	0.0416885
"Simi Valley"	0.0416474
Montclair	0.0413781
"Abu Dis"	0.041259
Limassol	0.0411367
"West Berlin"	0.0410602
Cicero	0.0409533
))
(Bedie (desc 1748.08) (sims
Diouf	0.202067
Muluzi	0.187265
Bolger	0.179918
Nujoma	0.173528
Chavalit	0.172822
Stoyanov	0.172055
Lipponen	0.16933
Karimov	0.166737
Constantinescu	0.16163
Luong	0.158786
Samper	0.154128
Mkapa	0.151424
Menem	0.14875
Akayev	0.146023
Dodik	0.143582
Kumaratunga	0.14335
Kok	0.14271
Rifkind	0.142682
Dehaene	0.142345
Niyazov	0.142283
Narayanan	0.141786
Aleman	0.141466
Guterres	0.141101
Moratinos	0.141015
Mobutu	0.139664
Kabbah	0.139342
Museveni	0.138076
Kuchma	0.137339
Qiao	0.135917
Phieu	0.132695
Obasanjo	0.132468
Banharn	0.13215
Nazarbayev	0.131778
Rakhmonov	0.13157
Deuba	0.131408
Hariri	0.129533
Saleh	0.129354
Bashir	0.129256
Chuan	0.128765
"de Charette"	0.1283
Shevardnadze	0.128057
Vasile	0.127682
Rabbani	0.127633
Hasina	0.127323
Holl	0.125972
Aliev	0.125698
Kwasniewski	0.124691
Ahtisaari	0.124662
Masire	0.124551
Zeroual	0.122503
Patasse	0.121014
Mugabe	0.12022
Herzog	0.119804
Klestil	0.119382
Rodionov	0.119249
Lukashenko	0.119071
Chissano	0.119055
Bondevik	0.11887
Sihanouk	0.118773
Shipley	0.118371
"Dos Santos"	0.118121
Ingraham	0.116934
Chiluba	0.116498
Brundtland	0.11646
Majali	0.116146
Bhutto	0.116099
"De Klerk"	0.116091
Hashimoto	0.115342
Bouteflika	0.11488
Kasoulides	0.114741
shah	0.114269
"Chavalit Yongchaiyudh"	0.113868
Ikeda	0.113505
Juppe	0.11336
Granic	0.113153
Leghari	0.11278
"Prime Minister Banharn Silpa-Archa"	0.111214
Ekeus	0.110911
Portillo	0.110226
Ciampi	0.110197
"Carlos Salinas"	0.109571
Sumaye	0.108955
Pustovoitenko	0.108471
Jospin	0.108387
Dae-jung	0.108374
Vieira	0.108349
Kostov	0.10817
"Michael Heseltine"	0.107212
Ershad	0.106897
Cardoso	0.10685
Gurirab	0.106439
Azad	0.106358
Banzer	0.106339
Cem	0.106094
Santer	0.106093
Bucaram	0.105698
Eyadema	0.105649
Velayati	0.10538
Kalejs	0.105139
"Than Shwe"	0.104718
Xiong	0.104645
Rafsanjani	0.104165
Iliescu	0.103923
"De Soto"	0.103688
Ogata	0.10308
Benazir	0.103035
Komura	0.102866
Abdel-Meguid	0.102808
Zedillo	0.102807
Severino	0.102639
Frei	0.102507
Gaddafi	0.102201
"Maung Aye"	0.101989
Scalfaro	0.101941
Moi	0.101647
Chirac	0.101633
Guei	0.101618
Sahnoun	0.101565
Mahathir	0.101399
Buyoya	0.100997
Rau	0.100944
Sampaio	0.100835
Aliyev	0.0998884
"Chuan Leekpai"	0.0996442
Conte	0.099607
Hrawi	0.099477
Tung	0.0993908
Bizimungu	0.0985041
Kan	0.0983999
Khaddam	0.0983773
Tudjman	0.0980778
Simitis	0.097986
Imperatori	0.0977047
"Vladimir Meciar"	0.0974642
Musharraf	0.0969474
Wolfensohn	0.096377
Shareh	0.0960654
Meciar	0.0957644
Buzek	0.095706
Soares	0.0951903
Pastrana	0.0950425
Kabariti	0.0950078
Ikimi	0.094588
"Laurent Kabila"	0.0943466
Koirala	0.0943242
Villalonga	0.0940394
Jayakumar	0.0939385
Juncker	0.0936996
Goh	0.0936339
Fu	0.0935862
Sharif	0.0932953
Insulza	0.0930922
Wahid	0.0928268
Baz	0.0927807
Pickering	0.0925619
Advani	0.0924172
Balaguer	0.0919334
Vajpayee	0.0918992
Hu	0.0916636
Rasmussen	0.0914669
"Sher Bahadur Deuba"	0.0912389
"Jose Maria Aznar"	0.0912047
Mbeki	0.0911151
el-Bashir	0.0910285
Brahimi	0.0910193
Erbakan	0.0909889
"Yoshiro Mori"	0.0909063
Aznar	0.0907694
Vollebaek	0.0905853
Gujral	0.0905716
Soeharto	0.0904895
Ruehe	0.0904679
Estrada	0.0904313
Mandela	0.0904064
"Keizo Obuchi"	0.0903766
Chi	0.0903302
Demirel	0.0902617
Weizman	0.0902476
Ahern	0.0898402
Salim	0.0898274
Dini	0.0898082
Surin	0.0896551
"Hun Sen"	0.0895629
Berisha	0.0894847
Prueher	0.0893901
Kyprianou	0.0893628
Fernandes	0.0891566
Chand	0.0888137
Mahuad	0.0881142
Yilmaz	0.0878714
"Rafik Hariri"	0.0872452
Mejia	0.0871268
Sponeck	0.0869211
Seleznyov	0.0868648
Clerides	0.0867254
Jovanovic	0.0858814
"Mesut Yilmaz"	0.085849
"Ung Huot"	0.0856481
Prodi	0.0854615
"Milos Zeman"	0.0852895
))
(Bedlam (desc 1914.05) (sims
pandemonium	0.141535
hilarity	0.0758153
anarchy	0.0736431
mayhem	0.0729787
jubilation	0.0728292
carnage	0.0700729
commotion	0.0696325
"cash crunch"	0.0617919
silliness	0.0614719
"nervous breakdown"	0.0602994
euphoria	0.0579725
"powder keg"	0.0577774
tumult	0.0560192
hysteria	0.0559481
conflagration	0.0555796
cataclysm	0.0544177
firefight	0.0538322
catharsis	0.0536189
serendipity	0.0528848
"smoke screen"	0.0520784
"gambling casino"	0.0516841
"fatal accident"	0.0512899
insanity	0.0508727
"race riot"	0.0506213
tableau	0.0504739
fisticuffs	0.0495482
"the good old days"	0.0492655
"Vaughn Bean"	0.0491124
"crisis situation"	0.0488113
bloodletting	0.0487719
brouhaha	0.0485273
no-brainer	0.0473576
"detective story"	0.046986
"traffic jam"	0.0467605
craziness	0.0467317
laziness	0.0467191
escapism	0.0464725
astonishment	0.0462446
burlesque	0.0456926
ferment	0.0455776
taskbar	0.0455356
happenstance	0.0453437
ruckus	0.0451212
firestorm	0.0450663
free-for-all	0.0449195
stillness	0.044717
gridlock	0.0442875
"moral hazard"	0.044124
freebie	0.0440872
"Trojan Horse"	0.0440807
scrum	0.044076
overheating	0.0439986
ordinariness	0.0437491
calamity	0.0434544
"Super Bowl XXXIV"	0.0433128
clot	0.0426874
"waiting game"	0.0424415
"liquidity problem"	0.0423923
merriment	0.0423703
zeitgeist	0.0423367
fearlessness	0.0422613
nothingness	0.042204
risk-taking	0.041879
melee	0.0418465
desolation	0.0414844
"dark ages"	0.0413948
distillation	0.0413927
"Twilight Zone"	0.0412864
pratfalls	0.041201
"chain reaction"	0.0411514
"horse race"	0.0409976
internment	0.0409209
"Balkan Wars"	0.0406591
gangrene	0.040422
"popularity contest"	0.0403646
"background noise"	0.0400582
tailwind	0.0400081
))
(Bedouin (desc 3851.41) (sims
Hmong	0.116213
Maasai	0.113765
Berber	0.113249
"Israeli Arab"	0.107608
"Orthodox Jewish"	0.0867566
Ijaw	0.0847764
Makah	0.084185
"Irish Catholic"	0.0833288
Hasidic	0.0807011
Druse	0.0797102
Sioux	0.0795217
Inuit	0.0779196
Kurd	0.0778637
"Bosnian Muslim"	0.0756145
Navajo	0.0736486
Hausa	0.0733689
Banyamulenge	0.073144
"Kosovar Albanian"	0.0724181
"Stone Age"	0.0700512
"Israeli Arabs"	0.0686266
Iroquois	0.068052
Japanese-American	0.0680512
Maori	0.0678425
"American Jewish"	0.0671633
"Kosovo Serbs"	0.0646766
Gypsy	0.0644988
Amish	0.0635705
Hopi	0.0631223
"native American"	0.0629659
"another @@,@@@"	0.062682
"Shiite Muslim"	0.0620639
ultra-Orthodox	0.0618914
Tutsi	0.0610891
peasant	0.0610165
Tibetan	0.0589002
Mayan	0.0588789
Kurdish	0.0588679
Eskimo	0.0584413
Zulu	0.0575295
"Islamic Movement"	0.0572481
tribesmen	0.0567824
"Turkish Cypriot"	0.0565541
herdsman	0.0556822
BSF	0.0555996
Yoruba	0.0553712
Coptic	0.0553415
Tajik	0.0548366
Anglo	0.0548353
Mexican-American	0.0543196
Sikh	0.0541703
"Costa Rican"	0.054068
Abkhazian	0.0536856
Kosovar	0.0528142
Irish-American	0.0526346
Seminole	0.0526016
"over @@,@@@"	0.0525466
settler	0.052535
Acadian	0.0524095
"another @@@,@@@"	0.0523574
"Kosovo Albanian"	0.0518577
Cuban-American	0.0511035
"East German"	0.0506754
Uzbek	0.0506029
stone-throwers	0.0504784
herdsmen	0.0502457
asylum-seekers	0.0502078
Tunisian	0.0501235
"Greek Cypriot"	0.049713
protestor	0.0495411
"university student"	0.0494896
Ingush	0.0494651
squatter	0.0487483
"East Timorese"	0.0486905
Slavic	0.0485587
mastodon	0.0483036
"Asian American"	0.0482653
"Sunni Muslim"	0.0480907
OPM	0.0480262
Hani	0.0468275
Chechen	0.0463205
"American Indian"	0.04628
Arab-Americans	0.0462309
Germanic	0.0460414
Italian-American	0.046023
Khmer	0.0458574
Mohawk	0.0454402
lakeside	0.0454348
"African American"	0.0452664
Dutchmen	0.0450666
horsemen	0.0448524
ranching	0.0443845
PNP	0.044184
Montenegrin	0.0438136
"nearly @,@@@"	0.0437065
"North African"	0.0436751
"Bryant Park"	0.0436709
"old woman"	0.043172
Korean-American	0.0431589
"nearly @@,@@@"	0.0431109
herder	0.0431004
Fulani	0.0428994
Kurds	0.0426321
Ukrainians	0.0426254
Quaker	0.0425338
Demps	0.0425168
parolee	0.042508
Luo	0.0424773
Arab-American	0.0422713
Miao	0.0422127
Yao	0.0422087
"nearly @@@"	0.0421742
slain	0.0414463
"Another @,@@@"	0.0414359
non-Muslim	0.0413223
Thirty-four	0.0412752
Bonanno	0.0412437
Mongol	0.0411438
Kyrgyz	0.0411415
"Two hundred"	0.0409217
Pueblo	0.0408834
"Bosnian Croat"	0.0408453
nomad	0.0407914
"another four"	0.0406692
Asian-American	0.0406323
Kashmiri	0.0405683
"New Zealander"	0.0405202
hippie	0.0402846
Timorese	0.0402201
ZCTU	0.0401609
))
(bedrock (desc 8457.58) (sims
cornerstone	0.133137
core	0.0906287
pillar	0.0828684
foundation	0.0801417
bulwark	0.0785898
underpinnings	0.0761578
underpinning	0.0747161
bastion	0.0735073
mainstream	0.0688961
hallmark	0.0661675
linchpin	0.0648973
guarantor	0.0630092
one-China	0.0624033
defining	0.0614593
backbone	0.060636
"building block"	0.0587953
foundations	0.0587031
tenet	0.0584828
"basic principle"	0.0575176
"practical application"	0.0574934
plank	0.0561029
"laissez faire"	0.0560591
prerequisite	0.0558221
affirmation	0.0553684
"New Democrat"	0.0552937
embodiment	0.0547278
lifeblood	0.0546856
mainstay	0.0545918
touchstone	0.0545555
semblance	0.0543782
strengthening	0.0536254
"two key"	0.0532518
centerpiece	0.0530742
monolith	0.0527992
validation	0.0527891
"component part"	0.0521074
hawkish	0.0518015
"A few key"	0.0514437
modicum	0.0510997
cradle	0.0507049
fundamental	0.0506815
continuity	0.0506249
reassessment	0.050205
nuts-and-bolts	0.0499257
inheritor	0.04983
dawning	0.0498001
"fault line"	0.0496809
"fundamental principle"	0.0491691
determinant	0.0489697
colorblind	0.048231
microcosm	0.0480429
"strong force"	0.0476523
lifeline	0.0470779
barometer	0.0466046
"One key"	0.0460659
"good example"	0.0457669
essence	0.0456994
"solid ground"	0.0454977
"flash point"	0.0450257
fragility	0.0449574
"Holy Grail"	0.0447877
solidity	0.0446215
pinnacle	0.0442062
sounder	0.043941
reestablishment	0.043916
fostering	0.0435608
travesty	0.0434507
detritus	0.0433643
continuum	0.0432918
"high-water mark"	0.043259
"legal tender"	0.0432232
repudiation	0.0431108
facet	0.0430578
"prime mover"	0.0428069
"measuring stick"	0.0425381
fulcrum	0.0424658
soundness	0.0424261
necessity	0.0423709
hotbed	0.0423425
establishing	0.0422662
"weak point"	0.0421749
precondition	0.0421163
illusion	0.0419661
grassroot	0.0418784
accepting	0.0417934
"nerve center"	0.0417724
reiteration	0.041587
vindication	0.0415107
predictor	0.0414406
Libertarian	0.0413792
bellwether	0.0413176
standard-bearer	0.041215
heartland	0.0410545
"cutting edge"	0.0410496
custodian	0.0408132
"common law"	0.0406597
reaffirmation	0.0405244
continuation	0.0405075
enlightenment	0.0404795
pivot	0.0401394
underbelly	0.0401197
))
(bedroom (desc 50332.1) (sims
"living room"	0.212318
bathroom	0.198874
room	0.191322
kitchen	0.187379
"dining room"	0.183836
"family room"	0.163961
apartment	0.159873
"master bedroom"	0.159196
basement	0.148563
closet	0.147007
hallway	0.146603
garage	0.140979
"sitting room"	0.138382
den	0.126357
suite	0.122086
classroom	0.119646
bed	0.119035
"conference room"	0.11898
cabin	0.115276
balcony	0.111911
parlor	0.111006
"dressing room"	0.110373
"hotel room"	0.108573
fireplace	0.106402
lobby	0.106368
lounge	0.105666
"dorm room"	0.104992
cubicle	0.104355
house	0.102552
"dining area"	0.102184
foyer	0.100835
loft	0.100309
library	0.0997057
courtroom	0.0976308
gym	0.0970134
hall	0.0966122
studio	0.0965402
ballroom	0.0963216
dormitory	0.0951684
home	0.0949677
office	0.0945533
courtyard	0.0943536
restroom	0.094105
bathtub	0.0937382
"back room"	0.0933495
porch	0.0930892
cellar	0.092548
"locker room"	0.0925257
pantry	0.0924071
"hospital room"	0.091645
bath	0.091148
clubhouse	0.0905706
playroom	0.0903937
cafeteria	0.0890844
cottage	0.0890609
shed	0.0875444
gallery	0.0871161
space	0.0865297
barn	0.0862833
bar	0.0856368
locker	0.0852971
shop	0.0849213
"swimming pool"	0.0844877
building	0.0840806
"parking lot"	0.083999
window	0.0836676
patio	0.0833438
elevator	0.0831546
cafe	0.082991
alcove	0.0826612
toilet	0.081663
cockpit	0.0815667
hotel	0.0814067
garden	0.0808263
dorm	0.0806839
stall	0.0806022
"mobile home"	0.0801588
tub	0.0798464
terrace	0.079357
"Oval Office"	0.078844
gymnasium	0.0787464
doorway	0.0785398
restaurant	0.0784698
floor	0.0780272
chamber	0.0776574
"bomb shelter"	0.077385
Warehouse	0.0768856
veranda	0.0764947
pool	0.0763057
drawer	0.0761268
stairwell	0.0759797
auditorium	0.0759611
tent	0.0752768
wall	0.0747137
trailer	0.0746159
"waiting room"	0.0745045
refrigerator	0.0742138
chapel	0.0739099
booth	0.0739057
box	0.0731247
hut	0.0730755
"home office"	0.0730451
yard	0.0724435
mansion	0.0723287
car	0.0722832
compartment	0.0721874
deck	0.0719804
"back yard"	0.0712945
cave	0.0707978
store	0.0706895
"storage room"	0.0706885
ceiling	0.0700165
corner	0.0699215
condo	0.0699041
backyard	0.0697459
sanctuary	0.0696294
driveway	0.0695176
cage	0.0693809
nursery	0.0693646
door	0.0693641
condominium	0.0693521
"apartment building"	0.0683203
trunk	0.0683122
storefront	0.0680263
sauna	0.0680168
corridor	0.0672454
"office building"	0.0670319
"living quarters"	0.0665953
desk	0.0664918
theater	0.0661806
Alley	0.0659951
bungalow	0.065598
farmhouse	0.0654909
atrium	0.065159
showroom	0.0649278
residence	0.0645435
Jacuzzi	0.0642198
tunnel	0.0641369
vestibule	0.0636256
van	0.0635017
"jail cell"	0.0634118
cell	0.0629833
park	0.0629793
"motel room"	0.0625493
table	0.0622056
shower	0.062062
shelter	0.0620477
vault	0.0615314
seat	0.0611677
pub	0.0609337
freezer	0.0604307
attic	0.0601923
bunker	0.0593533
"front yard"	0.059325
interior	0.0592329
dugout	0.0589839
cupboard	0.0589597
fridge	0.0588226
chair	0.0587314
Villa	0.0583855
"front porch"	0.0580713
townhouse	0.0580625
furniture	0.0580596
mosque	0.058054
"first floor"	0.0580403
sofa	0.0579559
roof	0.0575455
courthouse	0.0574896
Tower	0.0574705
"operating room"	0.057457
school	0.0572257
street	0.0570597
coffin	0.0570389
entrance	0.0567884
palace	0.0567813
tomb	0.056731
compound	0.0565852
cab	0.0565315
"movie theater"	0.0564823
crib	0.0563473
staircase	0.0562981
neighborhood	0.0561871
lawn	0.0556447
hangar	0.05564
stair	0.0551987
duplex	0.0551406
suitcase	0.0550009
pocket	0.0549405
village	0.0546874
front	0.0544965
brownstone	0.054311
"storage area"	0.0542455
Stairway	0.0540604
motel	0.0539241
bookcase	0.0537777
"row house"	0.0537706
church	0.0536404
synagogue	0.053484
shack	0.0533595
tile	0.0532024
))
(bedsheets (desc 994.142) (sims
"bed sheet"	0.107606
pillowcase	0.0875923
bandana	0.0869399
handkerchief	0.083084
bedding	0.0797374
kitchenware	0.0736405
"toilet paper"	0.0718556
caftan	0.0716703
tarp	0.071309
vestment	0.0701616
linen	0.0694512
cardboard	0.068045
"synthetic fiber"	0.0677606
"paper towel"	0.0675757
"fishing line"	0.065499
"electric light"	0.0647345
"over @@,@@@ tons"	0.0641309
scrim	0.0628007
"rubber band"	0.0625437
"mosquito net"	0.0622259
"hair dryer"	0.0609221
comforter	0.0607774
sawdust	0.059265
"railway car"	0.058958
cheesecloth	0.0587446
"sheet of paper"	0.0585596
tablecloth	0.0583437
shawl	0.0581223
"telephone wire"	0.0571056
smock	0.0570411
"beach towel"	0.0568769
tarpaulin	0.0560733
parachuting	0.0550282
Chino	0.0549641
trousers	0.0547439
napkin	0.0544607
undershirt	0.0539019
"sport shirt"	0.0530778
caldron	0.0525538
Anglo-Saxon	0.0524318
"dollar bill"	0.0522232
splitter	0.0519449
"paper cup"	0.0505128
bandanna	0.0501937
petticoat	0.0500844
Plexiglas	0.0489671
"fur coat"	0.0488705
vibrator	0.0483633
gauze	0.048065
"GI Joe"	0.0479879
smooch	0.0476125
sarong	0.0476045
bunting	0.0475877
wainscoting	0.0475357
"Southern Democrats"	0.0472093
knickers	0.047041
"more than @.@ billion US dollars"	0.0469756
knitwear	0.0466391
"coastal plain"	0.0457487
"American Dance Festival"	0.0455819
chaise	0.0454932
bathrobe	0.0453184
scab	0.0453068
"household appliance"	0.0451942
"more than @ million tons"	0.0451807
"phone jack"	0.0448681
carpeting	0.0446779
"extension cord"	0.0445704
"more than @@@ million US dollars"	0.0445703
"beauty parlor"	0.0444681
noose	0.0444371
"mushroom cloud"	0.0438157
derelict	0.0437914
splotch	0.0434262
swab	0.0433326
abalone	0.0432958
negation	0.0432105
"chocolate mousse"	0.0431747
sheaf	0.0426713
"prayer shawl"	0.0424249
"sleeping bag"	0.0424125
"ball field"	0.042317
hanger	0.0422376
LNG	0.0420981
dollars-worth	0.0417451
"sea food"	0.0416346
archway	0.0415372
"dry ice"	0.0413796
frond	0.0413092
outperformance	0.0412842
cows	0.0412436
tweed	0.0411605
"lynch mob"	0.0410211
"dress shirt"	0.041
nightgown	0.0409676
"Ford Escort"	0.040936
cutlery	0.0407789
Kleenex	0.0406068
MONEYBAG	0.0405388
polyurethane	0.040377
"Western Conference Finals"	0.0402954
classifieds	0.0402797
Legos	0.0400639
))
(bedside (desc 7301.5) (sims
"Methodist Hospital"	0.0709588
ringside	0.0680576
"conference table"	0.0656004
funeral	0.0611029
courtside	0.0593605
"breakfast table"	0.0593489
"foster mother"	0.0569014
"Andrews Air Force Base"	0.055863
"emergency room"	0.0544475
"hospital room"	0.0513198
"Fort Dix"	0.0510009
"polling booth"	0.0508873
locker	0.0506116
IC	0.0493937
"Ben-Gurion Airport"	0.0491418
"Johnson Space Center"	0.0481832
"maiden name"	0.0463662
"Al-Aqsa Mosque"	0.046334
gravesite	0.0460128
"large intestine"	0.0451203
"Buckingham Palace"	0.0438562
"Western Wall"	0.043156
sickbed	0.0423984
Candlelight	0.0416715
"Piedmont Hospital"	0.0415242
Dana-Farber	0.0402171
))
(bedspread (desc 2419.05) (sims
drapery	0.135215
pillowcase	0.130332
comforter	0.128443
tablecloth	0.121487
sconce	0.110545
rug	0.107747
nightgown	0.105999
pajama	0.101548
sofa	0.0968547
carpeting	0.096018
linoleum	0.0960166
pillow	0.0946387
lampshade	0.0929952
bathrobe	0.0914714
wallpaper	0.091225
bedding	0.0911053
Sari	0.0858705
camisole	0.0847322
cardigan	0.0839478
"shower curtain"	0.0825894
towel	0.0804231
quilt	0.0793703
curtain	0.0785583
tapestry	0.0776628
"bed sheet"	0.0773696
"love seat"	0.0770663
sarong	0.0731529
blouse	0.0724198
scarf	0.0723541
kimono	0.0698894
headboard	0.0693362
pantsuit	0.0692526
bellbottoms	0.0687471
mattress	0.0686957
slipper	0.0682287
taffeta	0.0682238
lamp	0.06793
panty	0.0675697
chandelier	0.0675565
brocade	0.0667922
"dress shirt"	0.0656833
sweater	0.0653946
linen	0.0650582
"wall hanging"	0.0645248
flooring	0.0642767
chiffon	0.0635024
upholstery	0.0625782
napkin	0.0621131
robe	0.0620411
applique	0.061627
"bathing suit"	0.0613514
tarpaulin	0.0607691
"lighting fixture"	0.0606793
pullover	0.0601513
tunic	0.0588079
settee	0.0578839
"feather boa"	0.0577061
"piece of cloth"	0.0576036
"place mat"	0.0575977
Sash	0.0574567
shawl	0.0573348
Poncho	0.0572495
handkerchief	0.0567483
covering	0.0565908
oleander	0.0565802
"evening gown"	0.0562564
"tennis shoe"	0.0560454
meniscus	0.055898
ACL	0.0554372
gardenia	0.0554093
"sport shirt"	0.0552814
underwear	0.0552528
"polo shirt"	0.055026
"alarm clock"	0.0550226
bunting	0.0549554
bodice	0.0549298
undergarment	0.0549009
frock	0.0544982
petticoat	0.0543991
paneling	0.0543306
tarp	0.0540655
wristband	0.0531721
glassware	0.0531194
"teddy bear"	0.0529456
corset	0.0528702
"evening dress"	0.05252
"sheet of paper"	0.0523414
"grocery bag"	0.0522509
Tables	0.0522065
velvet	0.0521085
"cocktail dress"	0.0520818
streamer	0.0520033
triceps	0.0512728
"hot pants"	0.0511049
turban	0.0508737
"nail polish"	0.0506238
satin	0.0504691
smock	0.0503419
hydrangea	0.0500774
pompom	0.0497538
bustier	0.0496477
"pants suit"	0.0493862
"mink coat"	0.0491458
yarmulke	0.0491068
raincoat	0.0490436
braid	0.0488002
carnation	0.0487323
sneaker	0.0484415
trouser	0.0482195
eyeglass	0.048016
jumpsuit	0.0478668
doorknob	0.0478542
waistcoat	0.0478431
legging	0.0478032
tights	0.0477837
cherub	0.047638
clothesline	0.0473991
stocking	0.0473236
"sports jacket"	0.0469944
sheath	0.0469791
headband	0.0469477
halter	0.0468804
"wedding dress"	0.0467306
"bed linen"	0.0464184
bikini	0.0458078
"running shoe"	0.0457292
tux	0.0455308
bandanna	0.0455082
"boxing glove"	0.0454883
turtleneck	0.0453968
lingerie	0.0451969
"wrapping paper"	0.045027
labrum	0.045025
"Honda Civic"	0.0446019
"evening bag"	0.0444052
piping	0.0443973
"office furniture"	0.0443819
vas	0.0443543
barrette	0.0442924
"weather vane"	0.0442766
tiara	0.0442454
stucco	0.0439723
apron	0.04397
bandana	0.0436486
teddy	0.0435361
sleeve	0.0433319
bodysuit	0.0430551
"beam of light"	0.0429422
"leather jacket"	0.0428267
vestment	0.0428233
trowel	0.0427523
hand-me-down	0.042612
"sheet music"	0.0422152
"card table"	0.0420962
gauze	0.042048
diaper	0.0417224
vinyl	0.0416687
"wedding gown"	0.0416566
"stiletto heel"	0.0414346
windbreaker	0.0414008
caftan	0.0413897
"fly rod"	0.0412574
"picket fence"	0.0412092
Seng	0.0410634
cardboard	0.0410074
BOA	0.0409387
"tea set"	0.0408656
"name tag"	0.0408215
embroidery	0.0407518
bookcase	0.0405597
brooch	0.0403331
"street sign"	0.0403228
knickers	0.0402831
mitten	0.0402704
flapping	0.0402426
"tissue paper"	0.0401998
sideboard	0.0401178
armoire	0.0400822
))
(bedtime (desc 5445.01) (sims
"retirement age"	0.0638167
dusk	0.0590873
workday	0.0579544
"starting time"	0.0553319
Christmastime	0.0529602
sunset	0.0525067
"time of day"	0.0488907
tipoff	0.0486833
"leisure time"	0.0486762
"Defense Fund"	0.0479721
"time of year"	0.0478453
"waiting game"	0.047479
"breakfast table"	0.0459044
playlist	0.0449814
off-day	0.0449625
postgame	0.044696
Spago	0.0445618
"frame of reference"	0.0441793
Sunrise	0.0441398
harder	0.0431385
"rule of evidence"	0.0430045
"modus operandi"	0.0422792
livery	0.0417562
"grim reaper"	0.0403607
Thanksgiving	0.0401887
Clinton-Lewinsky	0.0401846
"golf game"	0.0401027
))
(bee (desc 19554.7) (sims
honeybee	0.171062
termite	0.120403
ant	0.11612
moth	0.115709
WASP	0.112059
insect	0.103448
mosquito	0.09798
beetle	0.0903737
dragonfly	0.0881321
"fire ant"	0.0861175
bird	0.0856824
mite	0.0843821
gnat	0.081549
ladybug	0.0784623
geese	0.0770281
earthworm	0.07569
butterfly	0.0752614
locust	0.0746884
snake	0.0716543
Roach	0.0701514
cockroach	0.0693786
"yellow jacket"	0.0688001
grasshopper	0.0687736
spider	0.0687675
rodent	0.0681231
rat	0.0674165
Bumblebee	0.066545
deer	0.0631535
hummingbird	0.0630144
pigeon	0.0626388
animal	0.0612497
amphibian	0.0612494
turtle	0.0612023
woodpecker	0.0604925
bug	0.0600258
pest	0.0598463
flea	0.0593483
scorpion	0.0593057
monkey	0.058907
"sea turtle"	0.0584568
crow	0.0583547
Hornet	0.0576901
cicada	0.0574939
aphid	0.0572476
mammal	0.0569503
fish	0.0563911
elephant	0.056236
rattlesnake	0.0561843
pig	0.0560626
critters	0.0555173
sheep	0.0554985
chimpanzee	0.0552613
hive	0.0551339
Vulture	0.0548903
"giant panda"	0.0548584
mice	0.0545045
Livestock	0.0541724
CAT	0.0540007
tern	0.0534694
reptile	0.0533211
panda	0.0528407
tick	0.0525227
crocodile	0.0523418
goat	0.0522499
Primate	0.0520762
crustacean	0.0509458
fungi	0.0506585
cattle	0.0504986
hog	0.0495621
sparrow	0.0491333
maggot	0.0491037
seabird	0.0489875
pollen	0.0487656
cow	0.048744
ostrich	0.0487145
rabbit	0.0481015
lizard	0.0479693
cormorant	0.047743
whale	0.0476851
parrot	0.0475416
Pelican	0.04737
alligator	0.0471708
shark	0.0466995
sturgeon	0.0466767
poultry	0.0465431
specie	0.0461914
chicken	0.0458385
waterfowl	0.0457962
wildlife	0.045501
orchid	0.0452183
worm	0.0451782
bacteria	0.0448857
predator	0.0445567
fungus	0.0441323
egret	0.0440153
stork	0.0438823
squirrel	0.0438555
frog	0.0436904
bluebird	0.0436778
beekeeper	0.0436188
Beijingers	0.0436087
chimp	0.0428521
weed	0.0426606
flower	0.0425617
wolf	0.0424945
reveler	0.041945
Lice	0.0418272
migrant	0.0417971
swan	0.0417861
shrimp	0.0417745
"domestic animal"	0.0414911
duck	0.0413766
microorganism	0.041264
"right whale"	0.0409978
shopper	0.0409431
beaver	0.0405824
Condor	0.0404555
Cambodian	0.0403222
germ	0.0403032
bunny	0.0401745
))
(beech (desc 2450.31) (sims
Elm	0.25867
Maple	0.240701
poplar	0.219998
spruce	0.204614
hickory	0.202035
"white pine"	0.200126
Hemlock	0.196831
eucalyptus	0.191485
fir	0.18651
dogwood	0.18592
Birch	0.185155
Oak	0.183708
cypress	0.172208
ginkgo	0.164325
cottonwood	0.154794
willow	0.148591
Mulberry	0.144111
Sycamore	0.140868
cedar	0.140561
Conifer	0.138061
gingko	0.136025
pine	0.126342
Juniper	0.122075
Mesquite	0.11999
"live oak"	0.117654
teak	0.116561
"ponderosa pine"	0.114838
walnut	0.109573
Linden	0.106746
sumac	0.10414
"old growth"	0.101824
Pavano	0.100546
Hentgen	0.0996539
mahogany	0.0962642
Harnisch	0.095799
Magnolia	0.0941655
Petkovsek	0.0937599
"douglas fir"	0.0921046
Cherry	0.0917283
azalea	0.0896732
Tapani	0.0891051
Trachsel	0.0890517
boxwood	0.0877361
Radke	0.0858087
Hermanson	0.0856077
Bere	0.0852783
Mantei	0.0852548
Bohanon	0.0844407
Lieber	0.0842743
Aspen	0.0840751
redwood	0.0836622
Dempster	0.0830474
oleander	0.0827467
Moehler	0.0818096
hardwood	0.0816519
mangrove	0.0777029
pecan	0.0761294
Nagy	0.0756541
Meadows	0.0743986
Wisteria	0.0714666
Yoshii	0.070843
Hawthorn	0.070657
Mercker	0.070041
Cloude	0.0699352
Tomko	0.0698772
Sequoia	0.0684629
Astacio	0.0676896
Arrojo	0.0674547
Osuna	0.0669225
Haynes	0.0667234
Burkett	0.065165
Dreifort	0.0650099
Yew	0.0641408
Yucca	0.0633956
Millwood	0.0630761
Reynoso	0.0626414
Rusch	0.0626135
Schourek	0.0613439
Woodard	0.059805
Bottenfield	0.0596579
cacao	0.0596007
Rapp	0.0583438
Gooden	0.0582275
Vazquez	0.0580375
Dickson	0.0579786
Stottlemyre	0.0577293
Loaiza	0.0573548
Moyer	0.0568995
cactus	0.0565531
Belcher	0.0563692
D'Amico	0.0563226
Hudek	0.055915
chestnut	0.0555926
Pulsipher	0.0553451
Kile	0.0551053
evergreen	0.0545679
Mulholland	0.0542101
Saberhagen	0.0538534
litchi	0.0535324
Sele	0.0534222
apricot	0.0533779
Stein	0.0521446
Erickson	0.051863
Hershiser	0.0516849
Remlinger	0.0514496
Fassero	0.0511394
"poison ivy"	0.0504806
Quince	0.0504016
Olivares	0.0502452
Viburnum	0.049927
persimmon	0.049599
Witt	0.0491603
pear	0.0490766
poinsettia	0.0488422
Wickman	0.0487082
"Anne Kremer"	0.0476706
Mlicki	0.0476631
"Kim Clijsters"	0.0474956
"Magui Serna"	0.0472143
Gomes	0.0472032
shrubbery	0.0471254
Schmidt	0.0467834
kumquat	0.0467291
Bergman	0.0467244
"Xavier Malisse"	0.0466756
undergrowth	0.04636
Percival	0.0463464
Baldwin	0.0462821
menorah	0.0461403
Burba	0.0458972
acorn	0.0458785
"Scarlet Knights"	0.0458295
GUAVA	0.0456712
Glavine	0.045624
Ankiel	0.045207
Candiotti	0.0451064
Hasegawa	0.0450381
Irabu	0.0449781
Neagle	0.0447588
locust	0.0444627
Meche	0.0444458
"Tara Snyder"	0.0443745
"Arnaud Di Pasquale"	0.0441237
lilac	0.0440641
Pts	0.043702
Gardner	0.0436093
"side chair"	0.0434581
"Asa Carlsson"	0.0434059
hibiscus	0.0433971
Milton	0.0433117
"Joannette Kruger"	0.0428728
Rojas	0.0427593
GA	0.0426721
"Catalina Cristea"	0.042638
pomegranate	0.0425944
headwaters	0.0425336
"Andrei Pavel"	0.042479
Leiter	0.0424139
"Franco Squillari"	0.0423485
Swardt	0.042184
Oaks	0.0421062
"Florencia Labat"	0.0420331
underbrush	0.0419725
Nottingham	0.0418833
Navarro	0.0418565
Mussina	0.0418462
Aguilera	0.0416858
camellia	0.0415907
"Nathalie Dechy"	0.041428
"Barbara Rittner"	0.041406
Washburn	0.0413684
Wakefield	0.0412761
"Ramon Ortiz"	0.0412677
laurel	0.0412046
Wasdin	0.0409653
"Mariano Zabaleta"	0.0409169
Checo	0.0407666
ebony	0.0407643
"Tim Hudson"	0.0403758
"Neville Godwin"	0.0403609
"Jeff Weaver"	0.0403156
"Graeme Lloyd"	0.0401568
))
(beef (desc 57261.3) (sims
pork	0.271524
meat	0.270641
chicken	0.217703
poultry	0.20535
shrimp	0.18337
vegetable	0.182703
lamb	0.179253
seafood	0.166824
mutton	0.165693
wheat	0.163797
"dairy product"	0.163339
milk	0.162805
corn	0.162633
rice	0.162597
fish	0.162414
potato	0.162122
steak	0.156919
cheese	0.153944
"ground beef"	0.153863
fruit	0.15288
grain	0.151537
tomato	0.151252
sausage	0.151242
egg	0.150586
bean	0.149882
sugar	0.148794
bread	0.148248
ham	0.147393
banana	0.144404
tuna	0.142388
veal	0.140204
onion	0.133641
soybean	0.133019
cattle	0.132027
food	0.131807
mushroom	0.129933
pasta	0.129189
salmon	0.12584
coffee	0.122375
lentil	0.121753
bacon	0.121509
venison	0.121361
cereal	0.120196
"chicken breast"	0.119945
Livestock	0.119793
noodle	0.117999
foodstuff	0.117778
Hamburger	0.117749
cotton	0.116879
maize	0.116196
flour	0.114971
tea	0.114822
"cooking oil"	0.114169
oil	0.113207
cabbage	0.112444
hog	0.112238
"palm oil"	0.112204
"roast beef"	0.111446
lobster	0.111168
tofu	0.110647
product	0.110617
eggplant	0.110506
"food product"	0.109958
carrot	0.10973
brisket	0.107522
"wheat flour"	0.106123
barley	0.104806
Garlic	0.104347
soup	0.104133
goods	0.103132
wine	0.102571
oyster	0.102402
"crude oil"	0.102314
tobacco	0.10181
peanut	0.101688
"fresh fish"	0.101566
asparagus	0.100836
scallop	0.100258
shellfish	0.0997569
"orange juice"	0.0994796
pineapple	0.0993103
pig	0.0992874
spinach	0.0987151
"sweet potato"	0.0985803
cucumber	0.098493
"vegetable oil"	0.0984651
"foie gras"	0.0980001
salad	0.0978518
Broccoli	0.0976679
caviar	0.0976155
chocolate	0.097454
commodity	0.0972924
"cashew nut"	0.0972237
"fish fillet"	0.0969242
fertilizer	0.0961652
"raw material"	0.0952645
cocoa	0.0949314
dairy	0.0948776
wool	0.0945893
pea	0.094461
pepper	0.0940744
burgers	0.0939144
celery	0.0938902
biscuit	0.093645
chop	0.0928709
butter	0.0926592
citrus	0.0923516
beverage	0.0922374
sauce	0.0918582
"powdered milk"	0.0917569
steel	0.0915708
"pork tenderloin"	0.0914942
spice	0.0912589
newsprint	0.0909131
juice	0.0908114
apple	0.0907831
prawn	0.0907722
Coal	0.0907707
spaghetti	0.0907535
coconut	0.0905594
"green bean"	0.0902334
veggie	0.0900405
yogurt	0.0900073
"sea food"	0.0896142
dish	0.0892826
"citrus fruit"	0.0886193
shallot	0.0884699
halibut	0.0882541
textile	0.0876685
"sugar cane"	0.087653
beet	0.0875043
"soft drink"	0.0874775
salt	0.0872626
avocado	0.0871769
tortilla	0.0869775
"soya bean"	0.0868422
mango	0.0868308
rib	0.0868287
lettuce	0.0860675
sorghum	0.0858809
herb	0.0857512
"corned beef"	0.085553
nut	0.0854805
fuel	0.0851747
mozzarella	0.0851679
rubber	0.0848895
timber	0.0847024
Chili	0.0846309
"consumer goods"	0.0846097
artichoke	0.0845695
gasoline	0.084525
Chickpea	0.0844155
"milk powder"	0.0843832
duck	0.0843648
sugarcane	0.0842561
sheep	0.0840794
Sirloin	0.0840493
petroleum	0.0838033
Copper	0.0835042
leek	0.0832548
melon	0.0831786
cake	0.0830998
zucchini	0.0828662
sandwich	0.0828546
crop	0.0826343
"olive oil"	0.0824645
"black bean"	0.0823724
plantain	0.0822879
fillet	0.0822628
"animal product"	0.0819354
scallion	0.0817234
ostrich	0.0816962
"goat cheese"	0.0815539
eel	0.0814404
pizza	0.0813663
Beer	0.0811283
cement	0.0811169
"hot dog"	0.0808953
watermelon	0.0808881
"sea bass"	0.080841
macaroni	0.0805846
"bell pepper"	0.079982
cigarette	0.0799732
"pot roast"	0.0797213
"food grain"	0.0796116
grape	0.079108
clam	0.0790403
"peanut butter"	0.0789618
crab	0.0787234
salami	0.0784465
garment	0.0783242
"green onion"	0.0779616
cow	0.0776669
broth	0.0775134
import	0.077464
pumpkin	0.0770872
"fruit juice"	0.0770613
"natural gas"	0.0769088
fennel	0.0768995
by-product	0.0765406
))
("beef broth" (desc 1333.18) (sims
"chicken stock"	0.364438
"beef stock"	0.33146
"chicken broth"	0.326456
"peanut oil"	0.235433
half-and-half	0.232007
"tomato juice"	0.227295
"whipping cream"	0.218681
"pineapple juice"	0.213737
"coconut milk"	0.206929
"tomato paste"	0.190841
"evaporated milk"	0.1829
"tomato sauce"	0.180362
"cider vinegar"	0.179857
broth	0.175708
panko	0.173443
"soy sauce"	0.171186
"white wine"	0.166602
"heavy cream"	0.166587
buttermilk	0.159475
sherry	0.148779
"wine vinegar"	0.148505
applesauce	0.146447
croutons	0.145743
"white rice"	0.143723
"sour cream"	0.140969
"blue cheese"	0.14057
"green onion"	0.139757
"hoisin sauce"	0.137155
"orange juice"	0.135687
mayonnaise	0.135567
"skim milk"	0.134605
"lime juice"	0.131111
"black olive"	0.130344
cornstarch	0.130046
bouillon	0.128172
"lemon juice"	0.126161
"red wine"	0.125869
"cherry tomato"	0.125153
"black bean"	0.124601
florets	0.12392
cider	0.123474
molasses	0.121762
vinegar	0.121279
"bean sprout"	0.121084
"chili sauce"	0.12
puree	0.119171
"Worcestershire sauce"	0.118549
okra	0.117157
celery	0.115989
"spaghetti sauce"	0.115834
ricotta	0.115647
marshmallow	0.114126
"apple juice"	0.114097
"macadamia nut"	0.113807
"green pepper"	0.113594
"snow pea"	0.113424
currant	0.113352
"bay leaf"	0.11157
cilantro	0.111321
"orange marmalade"	0.110782
ketchup	0.110637
breadcrumb	0.110547
blueberry	0.109805
bulgur	0.109514
Calvados	0.109514
cornmeal	0.108597
"fava bean"	0.1071
cashew	0.10694
"barbecue sauce"	0.106903
onion	0.106531
tahini	0.105795
marjoram	0.105503
lentil	0.105342
shortening	0.10518
"pine nut"	0.10508
fennel	0.104527
"brown sugar"	0.104389
"cheddar cheese"	0.103597
shallot	0.103393
yogurt	0.102913
raspberry	0.102461
"vegetable oil"	0.102375
raisin	0.101399
"olive oil"	0.101365
"chili powder"	0.101076
vermouth	0.10052
liqueur	0.100439
sauerkraut	0.0992749
leek	0.0977239
olive	0.0971585
"cottage cheese"	0.0967418
lettuce	0.0965234
polenta	0.0962933
"salad dressing"	0.0962902
tapenade	0.094932
FETA	0.0948838
"red pepper"	0.0937404
"corn syrup"	0.0932918
parsley	0.0931829
"goat cheese"	0.0923516
pineapple	0.0922668
Madeira	0.0913458
thyme	0.0905422
chutney	0.0904602
fajitas	0.0902603
pistachio	0.0900274
veal	0.0895074
Basil	0.0891548
pancetta	0.0889572
pasta	0.0885574
cabbage	0.0883262
"peanut butter"	0.0880006
kernel	0.0879501
blackberry	0.0878281
almond	0.0876007
bran	0.0874446
"bell pepper"	0.0869084
margarine	0.0868056
allspice	0.0862017
granola	0.0860022
"pumpkin seed"	0.0857138
"brussels sprout"	0.0855616
"wild rice"	0.0850601
brandy	0.0845003
macaroni	0.0843625
"green bean"	0.0835184
hazelnut	0.0833131
"Swiss chard"	0.0833036
mustard	0.0832468
"fruit juice"	0.0832179
crumb	0.0830916
chorizo	0.0828779
scallion	0.0827923
"egg white"	0.0825881
arugula	0.0824307
"maple syrup"	0.0824259
"dried fruit"	0.0819432
rum	0.0816215
syrup	0.0813578
"pepper sauce"	0.0804334
RHUBARB	0.0797854
Riesling	0.0796485
"green tea"	0.0792814
zucchini	0.0790703
tarragon	0.0788302
bourbon	0.0787259
jelly	0.078308
chervil	0.0782824
"vanilla ice cream"	0.0782454
spaetzle	0.0776278
cauliflower	0.0769407
coconut	0.0767969
"red onion"	0.0765967
pea	0.0765221
Chickpea	0.0764405
Parmesan	0.0752403
pesto	0.0752244
pecan	0.0745746
ammonia	0.0743407
walnut	0.0737593
shortcake	0.0731097
"smoked salmon"	0.073108
canola	0.0728699
eggplant	0.0728162
meatball	0.0726029
"potato salad"	0.0725545
"vegetable soup"	0.0723734
cutlet	0.0718313
dill	0.0718098
fraiche	0.0717796
cranberry	0.0717411
nectar	0.0715622
preserves	0.0714907
"milk chocolate"	0.071193
spaghetti	0.0710809
Tamarind	0.0708432
carrot	0.0707403
Zinfandel	0.0705829
apricot	0.0703868
Broccoli	0.0702037
"egg yolk"	0.0698257
"Grand Marnier"	0.0695356
"vanilla extract"	0.0694003
pumpkin	0.0692054
"bok choy"	0.0691074
oregano	0.0690104
frisee	0.0688633
paprika	0.0687694
"lima bean"	0.0681096
Cognac	0.0679739
cucumber	0.0676194
custard	0.0675242
"sesame oil"	0.067349
"string bean"	0.0671448
croissant	0.066616
spinach	0.0662833
"frozen yogurt"	0.0661912
"sweet potato"	0.0659465
Or	0.0656502
tapioca	0.0649325
))
("beef cattle" (desc 1609.28) (sims
cattle	0.139334
goat	0.12703
hog	0.119728
Livestock	0.118985
sheep	0.118676
poultry	0.11103
bison	0.106494
oxen	0.105736
llama	0.105699
swine	0.103712
geese	0.0996145
hen	0.0984818
rooster	0.0962805
"domestic animal"	0.0931513
lamb	0.0839417
mutton	0.080267
elk	0.075081
veal	0.0744941
alpaca	0.0726571
yak	0.0680589
fowl	0.0644958
Buffaloes	0.0628232
"over $@@ million"	0.06237
"over @@@ million US dollars"	0.0611347
antelope	0.0610839
"wild horse"	0.061063
donkey	0.0586698
aquiculture	0.0582165
ox	0.0579007
"cattle ranch"	0.057478
duckling	0.0572806
aquaculture	0.0564213
"milk cow"	0.0564047
cashew	0.0562544
"sugar beet"	0.0554798
"five million yuan"	0.054864
silkworm	0.0547525
smallholder	0.0545189
pheasant	0.054492
Pony	0.0543742
"more than @@ million dollars"	0.0543065
"red deer"	0.0536635
"collard greens"	0.052756
gazelle	0.0522677
"one million US dollars"	0.0522428
confectionery	0.0519386
fajitas	0.0515317
dairy	0.0509812
"sugar cane"	0.0505958
fawn	0.0503425
"over @@ million US dollars"	0.0496755
shortcake	0.0493377
"test equipment"	0.0492664
hamster	0.0488172
"nearly @.@ billion yuan"	0.0487403
boar	0.0486658
forwarding	0.0486355
"more than @@@ million yuan"	0.0484387
"more than @.@ billion dollars"	0.0482932
"more than one billion yuan"	0.0478974
"more than @@@,@@@ yuan"	0.0472653
reindeer	0.0471136
mule	0.0470895
ostrich	0.0463507
"animal fat"	0.0462792
"one billion US dollars"	0.0459213
"four billion yuan"	0.0457713
"California wine"	0.0454024
"about @@@ million yuan"	0.0451567
"more than @@ million US dollars"	0.0448843
aquatics	0.0448046
"More than three million"	0.0445954
porcupine	0.0445754
"over @@@ million yuan"	0.0443439
"animal husbandry"	0.0442595
deductibles	0.0437994
Partridge	0.0437298
husbandry	0.043589
parakeet	0.0434013
crawfish	0.0432103
Microelectronics	0.0430669
oilseed	0.042806
"quarter horse"	0.0423775
"frozen food"	0.0423384
"farm animal"	0.042134
woodpecker	0.0421014
yam	0.0420737
peacock	0.0416256
"more than @@ million yuan"	0.0415195
goldfish	0.0412404
"citrus fruit"	0.0410556
bullfrog	0.0409653
"over @@ billion yuan"	0.040644
Catfish	0.0406292
"consumer product"	0.0404303
"more than @@.@ billion yuan"	0.0403774
Englishwoman	0.0402547
"ransom money"	0.0400512
))
("beef stock" (desc 1407.07) (sims
"beef broth"	0.33146
"chicken broth"	0.326677
"chicken stock"	0.275012
"whipping cream"	0.226135
"peanut oil"	0.220872
"tomato juice"	0.219474
half-and-half	0.189229
"evaporated milk"	0.171246
"cider vinegar"	0.167422
"heavy cream"	0.164656
"soy sauce"	0.157267
broth	0.151361
"pineapple juice"	0.147515
"hoisin sauce"	0.145425
"chili sauce"	0.141864
croutons	0.141056
applesauce	0.137129
"tomato paste"	0.136492
"skim milk"	0.136401
bouillon	0.136321
"chili powder"	0.133756
panko	0.1331
"Worcestershire sauce"	0.125259
"bean sprout"	0.124691
buttermilk	0.124112
"coconut milk"	0.123337
"brown sugar"	0.122349
ricotta	0.120393
cider	0.118949
"pepper sauce"	0.117928
cayenne	0.117376
"lime juice"	0.11703
mayonnaise	0.116226
"lemon juice"	0.116199
"tomato sauce"	0.114438
"sour cream"	0.113128
"snow pea"	0.111037
"curry powder"	0.108787
sauerkraut	0.107471
"white rice"	0.106962
"wine vinegar"	0.106846
"blue cheese"	0.106667
ketchup	0.106509
"vegetable oil"	0.105237
vinegar	0.105197
"egg yolk"	0.104292
cornstarch	0.102489
"orange juice"	0.100987
cornmeal	0.099809
"green pepper"	0.0996245
shortening	0.0986144
"sesame seed"	0.0985118
"corn syrup"	0.0980911
"apple juice"	0.0975549
tahini	0.0971224
fraiche	0.0970292
florets	0.0962629
oregano	0.0962391
"white wine"	0.0960796
raisin	0.09599
"red pepper"	0.0954918
blueberry	0.0946787
Calvados	0.0945364
celery	0.0939981
macaroni	0.0939464
cilantro	0.0933542
molasses	0.0928164
"barbecue sauce"	0.0922778
cumin	0.0917422
"baking soda"	0.0917114
granola	0.0914923
mustard	0.0913127
"maple syrup"	0.0912926
currant	0.0899226
"vanilla ice cream"	0.0878503
"olive oil"	0.087382
Basil	0.0870434
"vanilla extract"	0.0860182
"pumpkin seed"	0.0852539
chilies	0.0852128
kernel	0.0848147
"fruit juice"	0.084577
hazelnut	0.0842104
marshmallow	0.0833209
"wild rice"	0.0833177
nutmeg	0.0830519
"macadamia nut"	0.0821325
chutney	0.0820914
cardamom	0.0819555
jalapeno	0.0812667
"fava bean"	0.0811383
"egg white"	0.080983
"star anise"	0.0808638
"sesame oil"	0.0805689
raspberry	0.0800501
breadcrumb	0.0800422
ginger	0.079539
"green onion"	0.0794869
pancetta	0.0794417
"Grand Marnier"	0.0791056
paprika	0.0788403
blackberry	0.0785196
lettuce	0.0784782
"goat cheese"	0.078184
mesclun	0.0781512
"black olive"	0.0773199
polenta	0.0770293
"bay leaf"	0.0765345
"dried fruit"	0.0760322
"peanut butter"	0.0756178
coriander	0.0750084
veal	0.0749044
parsley	0.0748884
lemongrass	0.0748196
"Swiss chard"	0.0745956
"cottage cheese"	0.074372
"baking powder"	0.0740248
puree	0.07399
"celery seed"	0.0724235
shallot	0.0722293
liqueur	0.0721854
allspice	0.0720756
cabbage	0.0716764
"orange zest"	0.0715926
"cayenne pepper"	0.0715415
"almond extract"	0.071445
cashew	0.0709252
almond	0.0707252
shortcake	0.0704206
"food coloring"	0.070163
"salad dressing"	0.0701183
"black pepper"	0.0699814
okra	0.0698626
sherry	0.0694575
spaetzle	0.0693041
"red wine"	0.0692961
pea	0.0690131
leek	0.069003
"fennel seed"	0.068942
"black bean"	0.068144
coconut	0.0679062
seasoning	0.0677602
"spaghetti sauce"	0.0677411
syrup	0.0677291
bran	0.0676752
thyme	0.0669016
ammonia	0.0667915
"bell pepper"	0.0667292
"condensed milk"	0.066705
turmeric	0.0663233
jelly	0.0662673
FETA	0.0661238
scallion	0.0656067
"lemon zest"	0.0655657
RHUBARB	0.0655542
margarine	0.0650723
clove	0.0647859
pistachio	0.0647507
"water chestnut"	0.0647435
"potato salad"	0.0640137
chorizo	0.0639185
"pot roast"	0.0636186
vermouth	0.0634781
"garlic clove"	0.0632942
"string bean"	0.0630476
"cheddar cheese"	0.0627439
"white pepper"	0.0626802
"orange marmalade"	0.0626482
dill	0.0626148
zucchini	0.0622292
"green tea"	0.0621834
"cherry tomato"	0.061436
vinaigrette	0.0612865
Chili	0.0611866
"garlic salt"	0.06086
marjoram	0.0607836
fennel	0.0604266
"pine nut"	0.0597579
"vegetable soup"	0.0597131
biscuit	0.0592957
barley	0.0592917
miso	0.058886
"cumin seed"	0.058866
brine	0.0584113
cranberry	0.0583681
canola	0.0582756
"canned food"	0.0579293
"ice cube"	0.0574028
"cooking oil"	0.0572979
oat	0.0572562
saffron	0.0572337
Broccoli	0.0566063
chevre	0.0564304
peppercorn	0.0561568
"ice water"	0.0561109
horseradish	0.0555925
"Tabasco sauce"	0.0554708
"seasoned salt"	0.0554476
Madeira	0.0554439
"ginger ale"	0.0551282
))
("beef tenderloin" (desc 1203.11) (sims
"pork tenderloin"	0.253155
"leg of lamb"	0.190775
"pork loin"	0.183094
"chicken breast"	0.167648
eggplant	0.15085
tenderloin	0.143658
"short ribs"	0.143176
"green bean"	0.136853
asparagus	0.135753
brisket	0.131158
zucchini	0.129092
mozzarella	0.126957
halibut	0.12526
artichoke	0.122932
"filet mignon"	0.121851
"rack of lamb"	0.121478
"chicken salad"	0.12135
"shiitake mushroom"	0.116833
beet	0.116371
tuna	0.115045
"red snapper"	0.113906
shrimp	0.111501
fennel	0.111097
pork	0.108814
"sea bass"	0.108054
steak	0.107593
meatloaf	0.107012
monkfish	0.106123
chevre	0.105965
swordfish	0.104535
Sirloin	0.104087
avocado	0.10396
"red pepper"	0.103815
sausage	0.10299
"sweet potato"	0.101699
macaroni	0.101271
Endive	0.100111
prosciutto	0.0992374
shallot	0.0990957
"bittersweet chocolate"	0.0981632
"collard greens"	0.0977997
fillet	0.0977217
carrot	0.0974725
noodle	0.0972596
pancetta	0.097212
cod	0.0959193
"brussels sprout"	0.095651
"black bean"	0.0949715
linguine	0.0942025
tofu	0.0940975
cucumber	0.0940086
ham	0.0936548
"goat cheese"	0.0934866
scallop	0.0926572
lobster	0.0918195
radish	0.0900136
tortellini	0.0897481
"red onion"	0.0894976
salami	0.089208
polenta	0.0890322
octopus	0.0887147
okra	0.088234
calamari	0.0878507
chilies	0.0874642
radicchio	0.087316
confit	0.0869793
pasta	0.0866819
"red bell pepper"	0.0865022
chorizo	0.0861658
cutlet	0.0860934
paella	0.0859683
"bell pepper"	0.0857733
"green salad"	0.0857265
mussel	0.0851168
spinach	0.0848814
"roast beef"	0.084122
"pot roast"	0.0825453
Hamburger	0.0824794
sardine	0.0821085
"tomato sauce"	0.0816175
"green onion"	0.0816041
spaghetti	0.0812977
RHUBARB	0.0811616
veggie	0.0811193
quail	0.080768
fig	0.0803756
"chicken sandwich"	0.080304
scallion	0.0799518
Chickpea	0.0798845
celery	0.0795933
kebab	0.0791057
"green pepper"	0.0783099
Loin	0.0781626
fettuccine	0.0779589
crab	0.077497
pineapple	0.0774839
sparerib	0.0770404
sashimi	0.0766142
bratwurst	0.0759999
venison	0.07582
brie	0.075676
cabbage	0.075574
filet	0.0754758
"snow pea"	0.0752503
marshmallow	0.0751466
"pumpkin seed"	0.0747434
turnip	0.0745964
"bok choy"	0.0742159
prawn	0.0735651
snapper	0.0732647
"striped bass"	0.0727162
cauliflower	0.0726626
"chicken stock"	0.0722841
shank	0.0719515
chanterelle	0.0719047
leek	0.0717176
"vegetable soup"	0.0712744
quesadillas	0.0711913
risotto	0.0707791
"smoked salmon"	0.0706271
"garlic clove"	0.0704285
pimento	0.0703759
"wild rice"	0.0703408
veal	0.0702491
arugula	0.0702028
"foie gras"	0.0701598
"lima bean"	0.0700003
chiles	0.0699436
hazelnut	0.0697182
mackerel	0.069648
FETA	0.0695513
TOMATOES	0.0691259
ravioli	0.0688542
pesto	0.0684678
Broccoli	0.068448
burgers	0.0682733
grouper	0.0681592
"winter squash"	0.0678952
"brown rice"	0.067669
slaw	0.0673902
brioche	0.0672147
Cheddar	0.0664108
"fresh fish"	0.0662307
"plum tomato"	0.0661303
lentil	0.0657581
bluefish	0.0656134
rutabaga	0.0650435
lettuce	0.064932
"hard-boiled egg"	0.0649197
Collard	0.0638706
"root vegetable"	0.0635879
pea	0.0635833
nectarine	0.063531
"king salmon"	0.0633359
pastrami	0.063293
pear	0.0632278
"chicken wing"	0.062983
"Caesar salad"	0.0625803
gnocchi	0.0624637
tomatillo	0.0624252
"blue cheese"	0.062361
chard	0.0614735
pastry	0.0610496
"cream cheese"	0.0607422
"French toast"	0.060681
parsnip	0.0600797
melon	0.0600394
custard	0.059449
puree	0.0586125
mayonnaise	0.0585511
patty	0.0583879
"scrambled egg"	0.0576085
pilaf	0.0575942
eel	0.0573586
"french fries"	0.056932
kernel	0.0568896
"black olive"	0.0567361
spaetzle	0.0565505
"string bean"	0.0565148
"white rice"	0.0564114
hen	0.056205
"cheddar cheese"	0.0560385
"three pitchers"	0.0558901
"evaporated milk"	0.0557547
"green olive"	0.055199
quiche	0.0547206
plantain	0.0545679
meatball	0.0544947
barley	0.0541651
Tamale	0.0541203
"hot pepper"	0.0540064
"Vidalia onion"	0.0539443
"cottage cheese"	0.0538439
canape	0.0537616
Gorgonzola	0.0537144
tapenade	0.0536466
"ground beef"	0.0533583
"raw meat"	0.0533172
"fava bean"	0.0533066
"side dish"	0.0531808
))
(Beehive (desc 1791.94) (sims
Afro	0.0983462
pixie	0.0957537
hive	0.0819769
sinkhole	0.0775212
pinwheel	0.0736856
videophone	0.071366
"popularity contest"	0.0711362
chessboard	0.0709707
"hunting ground"	0.0696474
"inventory control"	0.0687771
Sodom	0.0656021
sundial	0.0647818
"jigsaw puzzle"	0.0643487
fishbowl	0.0642612
two-third	0.0638315
"crazy quilt"	0.0635407
"ghost town"	0.0601307
furtherance	0.0595818
"white elephant"	0.0595227
"wedding cake"	0.0595216
Beatle	0.0583292
"patchwork quilt"	0.0579084
SDH	0.0572233
"local area network"	0.0565822
"torture chamber"	0.056383
"police state"	0.055606
"telephone book"	0.0549999
"dust bowl"	0.0549916
moonscape	0.054903
mishmash	0.054833
"chess game"	0.0544836
"treasure chest"	0.0540454
"Little Dog"	0.0540066
"mushroom cloud"	0.0537128
blob	0.0531055
dragonfly	0.0529378
biomass	0.0529074
crapshoot	0.0527271
led	0.0522808
BLUETOOTH	0.0522793
TINDERBOX	0.051885
sloth	0.0514022
"Volkswagen Beetle"	0.0513222
"flying saucer"	0.0510524
"furniture company"	0.0505196
"voting machine"	0.050226
playpen	0.0496358
"radio telescope"	0.0491493
monolith	0.0489592
conveyor	0.0489218
"shooting star"	0.048633
"hot potato"	0.048308
desperado	0.048261
incineration	0.0478458
hedgehog	0.0477772
melange	0.0477618
filtering	0.0475537
"nerve center"	0.0474906
scrum	0.0474303
bruiser	0.0473762
seashell	0.0472792
"guessing game"	0.0472581
junkyard	0.0467936
bullfrog	0.0467837
"subsidiary company"	0.046745
Starfish	0.0465661
birder	0.0465036
nonevent	0.0463927
"fire drill"	0.0463037
Centipede	0.0460714
"slush fund"	0.0458734
"roulette wheel"	0.045861
"wine bottle"	0.0458481
"Hello Kitty"	0.0457974
"hundred million dollars"	0.0457786
"leading indicator"	0.0456918
wafer	0.0454731
"mainframe computer"	0.0452341
cannonball	0.0451868
sparkler	0.0451772
gibberish	0.0451477
corkscrew	0.044996
"shell game"	0.0449537
"vacuum cleaner"	0.0448423
teapot	0.04482
puppy	0.0448034
free-for-all	0.0446253
pinata	0.0445648
Triptych	0.0444533
"telephone directory"	0.0444286
"teddy bear"	0.0443783
"Aum Shinrikyo"	0.0443597
"ice crystal"	0.0441555
"Sunni Muslim"	0.04407
AUM	0.0440247
"nearly one-fourth"	0.0439279
"jelly bean"	0.0438882
steamroller	0.0437779
"melting pot"	0.0437668
"fish tank"	0.0436589
"tree stump"	0.0436124
"tennis racket"	0.0434289
Webcam	0.0434044
kitschy	0.0432799
"stock company"	0.0432139
"back office"	0.0431037
"old lady"	0.0430687
Filtration	0.0430555
oodles	0.0430435
locus	0.0428508
notary	0.0428059
ISO@@@@	0.0427842
enabler	0.0426517
tarpon	0.0426233
time-out	0.0425083
"Branch Davidian"	0.0424788
"rolling stock"	0.0423991
Terminator	0.0422199
"Tina Turner"	0.0421874
scarecrow	0.0421409
"Corcoran Gallery"	0.0421255
"roughly two-thirds"	0.0420528
"steam locomotive"	0.0420317
bunny	0.0418356
pothole	0.0417807
fingerprinting	0.0417493
wilting	0.0416368
"big leaguer"	0.0416199
"blast furnace"	0.0415192
"hole in the ground"	0.0413585
"water tower"	0.0413025
"shower stall"	0.0412716
wide-range	0.0412706
commotion	0.0411563
metropolises	0.0409613
hippy	0.0409259
Rambo	0.0409239
soapbox	0.0408492
"caller ID"	0.0408202
chalet	0.0406725
"Jehovah's Witness"	0.0406201
filigree	0.0405573
"particle accelerator"	0.040441
"chorus line"	0.0404048
heretic	0.0403951
leper	0.0403592
underpinnings	0.0400534
))
(beekeeper (desc 1914.46) (sims
"stock trader"	0.0818892
"book jacket"	0.0776299
snowboarder	0.0764984
census-takers	0.0742867
forester	0.0732871
herbalist	0.0730264
vintner	0.0717352
woodworker	0.0710127
preparers	0.0707316
folklorist	0.0705509
educationist	0.0699376
winemaker	0.0696499
highflier	0.0694377
birder	0.0689924
"belly dancer"	0.0686203
transient	0.0686134
"real estate agent"	0.0683476
cattlemen	0.0660187
"school girl"	0.065305
hawker	0.0652298
landscaper	0.0650613
storekeeper	0.0645231
"farming area"	0.0632169
schoolgirl	0.0632024
"electronics company"	0.0631187
Muscovite	0.063066
carmakers	0.0622298
meatpackers	0.0618468
lawmen	0.0616818
bodybuilder	0.0615452
backpacker	0.0615073
exterminator	0.0608909
hoodlum	0.0604366
linguist	0.0604099
preservationists	0.0602142
gardener	0.0600528
"film maker"	0.0600324
complainant	0.0599825
"volleyball player"	0.0599336
genealogist	0.0598872
"altar boy"	0.0598095
trapper	0.0597
scalpers	0.059416
reservist	0.0593822
townsfolk	0.0587697
"Sydney Opera House"	0.0586065
mafioso	0.058588
"aerospace engineer"	0.0581523
"Joe Gibbs"	0.0580659
"welfare worker"	0.0579563
shipper	0.0576513
innkeeper	0.057219
"opera company"	0.0571655
"air force officer"	0.0569047
chemist	0.0567942
hiker	0.0566444
transnationals	0.0565533
Councilors	0.0564158
enumerators	0.0550342
"New York Democrats"	0.0546871
"private corporation"	0.0546684
"day laborer"	0.054446
"property owner"	0.0543376
blacksmith	0.0543011
adventurer	0.0541857
singer-songwriters	0.0541062
"insurance agent"	0.0540818
angler	0.0540617
"university student"	0.0539598
vaulter	0.053839
franchisees	0.0536663
naturalist	0.0536404
"pressure group"	0.0536332
kayakers	0.0535608
gunslinger	0.0535083
"church member"	0.053127
Cuban-Americans	0.0530324
VCs	0.0529627
deejays	0.0528664
archeologist	0.0527114
canoeist	0.0525694
manicurist	0.052529
troublemaker	0.0524414
vagabond	0.0523892
"child welfare agency"	0.0522956
old-timer	0.0522478
cyclist	0.0521278
archaeologist	0.0519711
student-athletes	0.0519331
resellers	0.0518233
handicappers	0.0518123
typist	0.0517755
horticulturist	0.051762
nonprofits	0.0517078
neo-Nazis	0.0516909
manhole	0.0516697
Realtor	0.0512747
Floridian	0.0512121
skiiers	0.0511842
"scuba diver"	0.0511796
"TV reporter"	0.0511447
aldermen	0.0510475
sidebars	0.0510159
"network administrator"	0.0509938
"theatrical production"	0.0509109
licensee	0.0508636
stargazer	0.0507743
"historical document"	0.0507564
climber	0.0507224
passers-by	0.0504811
triathlete	0.0504746
whistle-blowers	0.0504574
signees	0.0504477
"police captain"	0.0504416
"landscape architect"	0.0504042
"Orthodox Jews"	0.0503728
"insurance broker"	0.0502963
violinist	0.0501898
bullfighter	0.0501083
squatter	0.0498786
Creationists	0.0497351
"chicken wing"	0.0497309
fisherman	0.0496875
"camp site"	0.0496415
"Print Shop"	0.0496111
snowboarders	0.0495982
Olympian	0.0495809
passersby	0.0495186
left-winger	0.0495066
"social scientist"	0.0495048
Atlantans	0.0494782
"department head"	0.0494099
electrician	0.0493428
"military installation"	0.0492977
"Jehovah's Witness"	0.0492775
Englishmen	0.0491801
"real estate broker"	0.0491332
Industrialist	0.0491164
"Israeli Arabs"	0.0490379
"weather station"	0.0490072
bricklayer	0.0489637
Navajos	0.0489373
"AIDS activist"	0.0489332
ISPs	0.0489237
worshipper	0.0489149
florist	0.0485707
"rock climber"	0.0484308
"heart surgeon"	0.0484235
restaurateur	0.0484175
Baptists	0.0484031
"Christian church"	0.0483353
housewife	0.0482003
partygoer	0.0481799
bloodhound	0.0481697
"telephone operator"	0.0481279
firsts	0.0480752
"campaign worker"	0.0480434
cager	0.0479817
skateboarder	0.0478895
lawman	0.0476561
Arab-Americans	0.0476346
dignitary	0.0475906
plumber	0.0475714
solicitor	0.047479
"medical institution"	0.047441
hotspots	0.0473934
obstetrician	0.0473845
Arianespace	0.0473725
"fellow worker"	0.0472847
"Justin Rose"	0.0472302
botanist	0.0470917
"railroad car"	0.0469951
WASP	0.0469455
"fire fighter"	0.0469252
"military vehicle"	0.0469199
e-tailers	0.0468018
townspeople	0.0464932
well-wisher	0.0464071
eye-opening	0.046361
"chess player"	0.0463284
steelworker	0.0463112
"hockey player"	0.0461926
Yoda	0.0460537
worshiper	0.046043
"foster child"	0.0460244
"civil rights leader"	0.0460241
major-leaguers	0.0459988
Sorcerer	0.045969
"software package"	0.0459677
instrumentalist	0.0459582
PITTS	0.0459395
"farmer's market"	0.0459261
protestor	0.0459091
"business line"	0.0458901
spammers	0.0458823
snowbird	0.045874
soliders	0.0457836
hemophiliac	0.0457092
outfitter	0.045686
"military post"	0.0456686
))
(beeline (desc 2081.69) (sims
"surgical instrument"	0.0436247
co-payment	0.0422938
feint	0.0421553
shoo-in	0.0412532
"sitting duck"	0.0409525
counterbid	0.040166
))
("Been Kissed" (desc 1509.01) (sims
"Got Mail"	0.164886
"Impossible @"	0.136558
"Thomas Crown Affair"	0.127208
"Thin Red Line"	0.124667
entrapment	0.119282
"Galaxy Quest"	0.115371
"Toy Story @"	0.103946
Bowfinger	0.102891
"Notting Hill"	0.101838
Matrix	0.101128
"Stuart Little"	0.0987968
"Varsity Blues"	0.0966212
"Big Daddy"	0.0958525
"Patch Adams"	0.0922703
"wing commander"	0.091945
stepmom	0.0915392
"Green Mile"	0.0913684
U-@@@	0.0881258
"Cruel Intentions"	0.0870288
"Space Cowboys"	0.0869381
"Random Hearts"	0.0859627
X-MEN	0.0816045
"Mickey Blue Eyes"	0.0814579
Irene	0.0810668
"Runaway Bride"	0.0774159
"Fight Club"	0.0773988
EdTV	0.0756893
"Wild Wild West"	0.0753612
Stigmata	0.0745522
out-of-towners	0.0744111
"Titan A.E."	0.074124
"Scary Movie"	0.0739352
"Double Jeopardy"	0.0737836
"American Pie"	0.0732941
WR	0.0724534
"pitch black"	0.0722085
"Erin Brockovich"	0.0710062
"American Beauty"	0.0704298
"sixth sense"	0.0694719
mummy	0.0684709
"DEEP BLUE SEA"	0.067393
"Coyote Ugly"	0.0654187
"Cider House Rules"	0.0646151
"chicken run"	0.0640203
"Scream @"	0.0639898
"Vitaly Potapenko"	0.063709
"Iron Giant"	0.0619265
"Eyes Wide Shut"	0.0610179
Mumford	0.0606124
"Hollow Man"	0.0605836
"Damien Woody"	0.0594226
"Lake Placid"	0.0593723
"Perfect Storm"	0.0589438
Gladiator	0.0571111
"Ricky Bottalico"	0.0566951
"Very Bad Things"	0.0549231
"Civil Action"	0.0540883
"Nurse Betty"	0.0526301
"Mighty Joe Young"	0.0522614
Polgar	0.0518312
Berard	0.0515068
"Freddie Prinze Jr."	0.0511471
sm	0.0509337
"El Dorado"	0.0505174
"Mod Squad"	0.0487694
"Ideal Husband"	0.0477272
Jawbreaker	0.0475179
"NEC Invitational"	0.0460728
"Blair Witch Project"	0.0456568
"wild West"	0.0447871
"Kevin Jordan"	0.0435231
"Inspector Gadget"	0.0434576
"wonder boy"	0.0433696
Nicol	0.0410292
Mlicki	0.0405295
Dougherty	0.0404704
))
(beep (desc 4762.78) (sims
squeak	0.137688
squawk	0.0993098
screech	0.0960422
Siren	0.0908317
hiss	0.0901737
cackle	0.0821347
vibration	0.0763384
creak	0.075585
rumble	0.0728716
whistle	0.0719226
noise	0.064598
shriek	0.0643194
"alarm bell"	0.064007
"rain shower"	0.0637831
crackle	0.0632909
wail	0.0583599
Ping	0.0571696
gibberish	0.0559382
blip	0.0556734
"sonic boom"	0.0546424
cacophony	0.0544521
"fire alarm"	0.0542627
grunt	0.0542283
gunshot	0.0538597
whine	0.0529707
"yellow light"	0.0523892
pager	0.0523369
beeper	0.0523269
diode	0.0519246
"speaker system"	0.0512403
pagers	0.0504381
schematic	0.0494827
singsong	0.0490466
"loud noise"	0.0473601
amen	0.0460978
"Christmas card"	0.0457942
Lullaby	0.0453572
"market correction"	0.0452345
guffaw	0.0451795
Chime	0.0450985
pulse	0.0448501
heckler	0.0447276
cough	0.044506
wiper	0.0444816
odor	0.0444372
come-on	0.0442078
alarmist	0.0440562
UV	0.0440108
rumblings	0.043888
screeching	0.0435245
grabber	0.0431953
thud	0.042738
detonation	0.0425171
"sound bite"	0.0420209
chatter	0.0420052
"dog tag"	0.0419956
hiccup	0.0419889
percussion	0.0418157
drone	0.0416416
Tilberis	0.0415147
exclamation	0.0411699
"all clear"	0.0407713
buzzer	0.0406433
"gamma ray"	0.0403309
))
(beeper (desc 3736.32) (sims
pager	0.194455
beepers	0.166093
"caller ID"	0.100467
"telephone set"	0.0971781
"alarm bell"	0.0959151
"Palm Pilot"	0.0954931
PDA	0.0929634
walkie-talkie	0.0928127
"cellular phone"	0.0912322
pagers	0.0899546
cellphone	0.0897309
"fax machine"	0.0868156
"cellular telephone"	0.0830463
"hand-held computer"	0.0806262
"fire alarm"	0.0778847
"electronic mail"	0.0776095
remotes	0.0743957
"Palm Pilots"	0.0737797
"tape recorder"	0.0730814
"fountain pen"	0.072552
"portable computer"	0.0719095
wallet	0.0718992
"laptop computer"	0.0714079
ISDN	0.0699431
"stereo system"	0.069482
"microwave oven"	0.0688819
facsimile	0.0671588
doorbell	0.0665154
"septic tank"	0.0661467
switchboard	0.0660559
VCR	0.0648261
Siren	0.0648216
"smoke alarm"	0.0639606
handhelds	0.0636329
Usenet	0.0627746
briefcase	0.0626765
camcorders	0.0621108
"morse code"	0.061465
wristwatch	0.0613808
"CD player"	0.061164
stereo	0.0606732
typewriter	0.0606188
"cassette recorder"	0.0591474
"driver's license"	0.058908
"stiletto heel"	0.0587981
"running shoe"	0.0584403
Internet-based	0.0583065
SOS	0.0582394
prosthesis	0.0582329
undershirt	0.0570766
forwarding	0.0570402
"cable television"	0.0569638
"calling card"	0.0568082
pistol	0.0565038
"desktop computer"	0.0564572
"radio set"	0.0564043
analog	0.0563758
flashlight	0.0561478
"hearing aid"	0.0554391
"bank card"	0.0554287
"wireless telephone"	0.0553167
Hotmail	0.0551693
transmitter	0.0551188
ADSL	0.054995
blinder	0.0549022
"optical fiber"	0.054782
"central heating"	0.0544618
gadget	0.0543412
"alarm clock"	0.0542921
"videocassette recorder"	0.0535134
wristband	0.0530819
ICQ	0.0528165
lightbulb	0.052708
bib	0.0526004
Walkman	0.0525337
clipboard	0.0524644
E-ZPass	0.0523433
beep	0.0523269
"tennis shoe"	0.0522346
scanner	0.052055
clicker	0.051864
pocketbook	0.0514057
"electronic device"	0.0511776
stopwatch	0.0510301
broadband	0.0508424
bandana	0.0507637
desktop	0.0503782
atm	0.0498633
"automatic teller machine"	0.049742
tux	0.0497183
WebTV	0.0495541
GPS	0.0492395
backpack	0.0491945
parka	0.049154
"color television"	0.0491119
bustier	0.0491085
air-conditioner	0.0490461
sportswear	0.0489115
"dog tag"	0.0488087
beacon	0.0486037
"snack bar"	0.0485293
"area code"	0.0485246
antenna	0.0484932
GSM	0.0484584
"data communication"	0.0483629
password	0.048147
"alarm system"	0.0477468
"life preserver"	0.0475747
intercom	0.0475279
pantyhose	0.0475203
transponder	0.0470984
HDTV	0.0469664
waterworks	0.0469479
"automated teller machine"	0.0469198
bracelet	0.046663
"sport shirt"	0.0465441
"Microsoft Network"	0.0464471
CDMA	0.0463567
stethoscope	0.0462776
"all clear"	0.045876
prefix	0.0458254
surfboard	0.0457351
panty	0.0456863
"Census @@@@"	0.0455896
checkbook	0.0454391
buzzer	0.045397
"summer house"	0.0453271
miniskirts	0.0452695
"exercise equipment"	0.0452501
recorder	0.0450715
"neck brace"	0.044991
im	0.0449493
grandkids	0.0449101
"laser printer"	0.0449042
streetlight	0.0447656
Pantsuits	0.0447634
"cowboy boot"	0.0445072
"Palm III"	0.0444548
"tv set"	0.0444486
"clock radio"	0.0444133
bolero	0.0443095
sunglasses	0.0442789
"hot line"	0.0442025
"fire extinguisher"	0.044141
conditioner	0.0441325
irons	0.0440187
DSL	0.0439684
camcorder	0.0438499
autopilot	0.0438092
grocery	0.0437128
earpiece	0.0435578
"golf club"	0.0434999
handbag	0.043477
"sprinkler system"	0.0434675
defibrillator	0.0434558
"duffel bag"	0.0434005
"communications service"	0.0432874
"polo shirt"	0.0431984
knitting	0.0430853
"boarding pass"	0.0430079
knapsack	0.0429912
"call waiting"	0.0428913
cellphones	0.0427609
"baseball bat"	0.0427336
"video equipment"	0.0426793
clothes	0.0425989
denture	0.0425643
eyeglass	0.0424355
"dress shirt"	0.0424342
analogue	0.0423608
"local call"	0.0423308
"word processor"	0.0423053
landmine	0.0420487
molar	0.0420369
iBook	0.0419747
"first @@@"	0.0419365
"golf bag"	0.0418727
"mailing address"	0.0418516
revolver	0.0416571
turbot	0.0415757
handheld	0.0414403
"combat boot"	0.0412803
electioneering	0.041239
ISP	0.0411892
"boxing glove"	0.0411565
satchel	0.0411543
"telephone network"	0.0411284
sewerage	0.0411135
spigot	0.0410954
megaphone	0.0410922
"explosive device"	0.0410688
"biological clock"	0.041046
turtleneck	0.0409981
IDD	0.0409717
"phone line"	0.040897
"telephone bill"	0.0408376
microwave	0.0408122
toaster	0.0407988
"charge card"	0.0407917
monogram	0.0407816
))
(beepers (desc 3370.25) (sims
pagers	0.257264
pager	0.194151
"fax machine"	0.183454
camcorders	0.174728
"Palm Pilots"	0.169087
beeper	0.166093
"hand-held computer"	0.156833
photocopier	0.146024
"cellular phone"	0.142406
"laptop computer"	0.131135
cellphones	0.124529
"cellular telephone"	0.122536
"electronic device"	0.114092
walkie-talkie	0.110362
"laser printer"	0.10991
"portable computer"	0.106918
"telephone set"	0.102103
"tv set"	0.0999819
"tape recorder"	0.0990259
"Palm Pilot"	0.0976092
"CD player"	0.0964302
modem	0.0956039
transmitter	0.0948007
"television set"	0.0924071
copier	0.0901638
wristwatch	0.089322
handhelds	0.089228
"alarm system"	0.0892251
"electronic mail"	0.0886322
"videocassette recorder"	0.088614
remotes	0.0885521
laptop	0.0880499
"automatic teller machine"	0.0875475
"personal computer"	0.087116
"microwave oven"	0.086819
"tape player"	0.0866813
"electrical device"	0.0866434
"communications equipment"	0.0864594
"automated teller machine"	0.0845133
stereo	0.0844848
VCR	0.079441
phonograph	0.0793212
switchboard	0.0789448
scanner	0.0782003
"caller ID"	0.0773898
gadget	0.0753091
"satellite receiver"	0.075309
"hearing aid"	0.0747583
"data communication"	0.0740137
"video equipment"	0.0737488
"color television"	0.0726112
toaster	0.0725049
"catalytic converter"	0.0723643
intercom	0.0717843
prosthesis	0.0704798
headset	0.0699609
wireless	0.0699276
printer	0.0698423
briefcase	0.0697135
semiconductor	0.069629
"communication system"	0.0692185
handset	0.0687038
"bank card"	0.0682083
air-conditioner	0.0676114
"radio transmitter"	0.0672099
conditioner	0.0671196
gizmo	0.0668907
goggles	0.0658996
blinker	0.0657093
"wireless telephone"	0.0654525
headphone	0.0654384
"fountain pen"	0.0653213
recorder	0.0649832
"communications service"	0.0648692
appliance	0.0647253
camcorder	0.0647132
"phone line"	0.0645784
"clock radio"	0.0641256
wallet	0.0641102
"phone system"	0.0638493
earpiece	0.0626375
typewriter	0.0623097
calculator	0.0622733
"cable television"	0.0615299
"alarm clock"	0.0615046
telephony	0.0610527
antenna	0.0602608
PDA	0.0597017
binocular	0.0595585
timer	0.0595468
"consumer electronics"	0.0590775
"communications technology"	0.0589305
"sewing machine"	0.0587774
Walkman	0.0580758
"cash machine"	0.0577417
"calling card"	0.0573147
"kitchen appliance"	0.0568324
"water filter"	0.0564331
sensor	0.0563273
"household appliance"	0.0561827
"compact disk"	0.0559887
atm	0.055237
Projector	0.0550959
"telephone line"	0.0550892
"video game"	0.0549755
"wedding ring"	0.0544468
jewellery	0.0544145
peripheral	0.054015
respirator	0.0539218
"washing machine"	0.0535774
"cassette recorder"	0.0531608
bullhorn	0.0525419
"local area network"	0.0525013
"optical fiber"	0.0524954
iMacs	0.0524422
stethoscope	0.0524033
defibrillator	0.0522605
"safety belt"	0.0521874
"electronic equipment"	0.0520974
"fiber optics"	0.0516971
gadgetry	0.0515018
cellphone	0.0514863
bracelet	0.0513706
"Palm III"	0.0512928
desktops	0.0511683
joysticks	0.0510464
"area code"	0.050923
handbag	0.0509209
backpack	0.0503219
silencer	0.0502773
"radio set"	0.0502687
Ringer	0.0500121
detector	0.0498132
diskette	0.0497813
"desktop computer"	0.0497317
microchip	0.0497145
"hair dryer"	0.0496565
transponder	0.0495177
earplugs	0.0494982
browsers	0.0494533
"electric light"	0.0494392
accoutrement	0.0494208
"medical instrument"	0.0494175
"stereo system"	0.0492695
sonar	0.049079
Rotary	0.0490166
hookup	0.0487574
air-conditioning	0.0487461
decoder	0.0487252
sprinkler	0.048306
"car insurance"	0.0482899
notepad	0.048072
facsimile	0.0478225
"vending machine"	0.0475549
"hand grenade"	0.0473312
"membership card"	0.047317
"word processor"	0.0471872
parachute	0.0470773
jacks	0.0464903
"money order"	0.0461781
"communications satellite"	0.046159
microscope	0.0459895
postage	0.0458941
blinder	0.0458412
"fire extinguisher"	0.0456971
compass	0.0455831
desktop	0.0454951
flashlight	0.0454687
"Social Security number"	0.0454294
"evening bag"	0.0452158
"smoke alarm"	0.045113
communicator	0.0449168
changer	0.0448589
thermostat	0.0448027
"machine gun"	0.0447056
browsing	0.0447028
"Windows CE"	0.0446657
"cassette player"	0.0446479
"telephone service"	0.0445961
"security system"	0.0445626
crucifix	0.0442982
"phone service"	0.0442351
revolver	0.0441569
transistor	0.0440542
"cooling system"	0.0437552
sidearm	0.0436564
supercomputers	0.0436473
debit	0.043593
doorbell	0.0435345
"feather boa"	0.0434765
"bulletproof vest"	0.0433801
"integrated circuit"	0.0433452
armament	0.0431879
cooker	0.0431505
"belt buckle"	0.0431217
"solar panel"	0.0430333
ICS	0.04297
"communications network"	0.0428144
pillowcase	0.0428052
dishwasher	0.0427117
))
(Beer (desc 76654.9) (sims
wine	0.219818
drink	0.199747
coffee	0.188892
"soft drink"	0.187846
liquor	0.182654
soda	0.18217
vodka	0.173495
beverage	0.162575
cigarette	0.153946
tea	0.151593
champagne	0.151152
milk	0.147756
ale	0.144198
alcohol	0.140325
whiskey	0.139642
food	0.133728
"mineral water"	0.13261
"ice cream"	0.127256
coke	0.126224
"red wine"	0.124223
candy	0.12394
"iced tea"	0.123373
pizza	0.123008
rum	0.122902
"orange juice"	0.122515
"alcoholic beverage"	0.122134
cola	0.121825
juice	0.120343
"hot dog"	0.119634
chocolate	0.118298
lemonade	0.118106
scotch	0.116937
Cigar	0.115292
snack	0.114888
sandwich	0.114551
vegetable	0.114242
gasoline	0.113392
bottle	0.113232
meat	0.113103
tequila	0.112919
cheese	0.112717
cereal	0.112535
whisky	0.112427
Cognac	0.112309
Budweiser	0.110438
fruit	0.1099
sugar	0.108319
tobacco	0.106841
popcorn	0.105939
soup	0.105344
lager	0.104892
"white wine"	0.10387
"Diet Coke"	0.103456
bread	0.102844
"fruit juice"	0.102603
Hamburger	0.0996544
meal	0.0983953
booze	0.0983302
product	0.0978336
seafood	0.0970942
chicken	0.0964201
oil	0.0953436
goods	0.0950724
sausage	0.0946943
dessert	0.0946318
brandy	0.0936806
cake	0.0935067
egg	0.0931163
"french fries"	0.0930988
water	0.0930475
"root beer"	0.0922748
"dairy product"	0.0914021
Clothing	0.0907669
Pepsi	0.0905774
toy	0.0903102
gin	0.0899337
tomato	0.089868
fuel	0.0892625
pasta	0.0889147
Liquid	0.0887118
rice	0.0887069
liqueur	0.088378
pork	0.0878343
cooky	0.0874193
yogurt	0.0870733
ketchup	0.0867241
brand	0.0866141
cappuccino	0.0864237
merchandise	0.0859304
cosmetic	0.085731
sauce	0.0855034
brew	0.0854465
fish	0.0852868
"potato chip"	0.0852506
"cooking oil"	0.0851628
dish	0.0849542
"food product"	0.0836573
banana	0.0833382
glass	0.083285
foodstuff	0.0832724
soap	0.0831556
perfume	0.082514
syrup	0.0824817
biscuit	0.0818953
grain	0.0816387
espresso	0.0814362
cider	0.0812224
beef	0.0811283
caviar	0.0810736
apparel	0.0810408
cracker	0.0807143
"sparkling wine"	0.0805402
noodle	0.0802842
petrol	0.0800839
cocktail	0.079917
gas	0.079876
item	0.079735
cloth	0.0795794
vinegar	0.0795021
"baked goods"	0.0787298
"crude oil"	0.0783958
grocery	0.0782591
furniture	0.0781571
Margarita	0.0780497
bagel	0.0777509
sweet	0.0777509
grape	0.0776276
bourbon	0.0775917
pretzel	0.0775206
cement	0.0774624
doughnut	0.0772582
jewelry	0.0770006
drug	0.0767668
spice	0.0767531
"olive oil"	0.0766835
bean	0.076489
"snack food"	0.0764587
"consumer goods"	0.0763619
Martini	0.0761913
shoe	0.076101
salad	0.0757501
chip	0.0753154
taco	0.075091
steak	0.0750848
garment	0.0749255
corn	0.074819
flower	0.0747534
automobile	0.0745255
steel	0.0745184
fertilizer	0.0743982
herb	0.0743869
pie	0.073877
peanut	0.0737721
wheat	0.0737609
poultry	0.0730944
cocaine	0.0728519
pint	0.0727736
"apple juice"	0.0726636
medicine	0.0725301
stuff	0.0724122
"peanut butter"	0.072026
burgers	0.0718891
nut	0.0717611
dinner	0.0717072
commodity	0.0716477
shrimp	0.0715126
butter	0.0714328
Chardonnay	0.0714119
appliance	0.0713559
pill	0.0713504
"vegetable oil"	0.0712233
"household appliance"	0.0711719
shampoo	0.0711461
lunch	0.0710817
"canned food"	0.0708862
flour	0.070825
souvenir	0.0708242
cocoa	0.0708096
refreshment	0.070683
Coca-Cola	0.0700664
condom	0.069977
cream	0.0699385
car	0.0699354
petroleum	0.069758
music	0.0695917
FRY	0.0695182
"prescription drug"	0.0692488
ticket	0.0690279
Guinness	0.0688626
cuisine	0.068806
"pet food"	0.0686956
marijuana	0.0683664
cotton	0.0683025
cup	0.0682645
honey	0.0681744
potato	0.068147
buttermilk	0.0676424
salt	0.0674848
T-shirt	0.0674541
detergent	0.0672256
))
("beer bottle" (desc 4954.51) (sims
"beer can"	0.147338
"water bottle"	0.129493
bottle	0.124121
"water jug"	0.117958
"Molotov cocktail"	0.104941
"hockey stick"	0.0928153
"wine bottle"	0.088306
"grocery bag"	0.0880629
jug	0.0824322
"cigarette butt"	0.080748
firebomb	0.0787411
"soda can"	0.076765
syringe	0.0750697
"baseball bat"	0.0747071
"petrol bomb"	0.0739449
"pipe bomb"	0.0724093
"gasoline bomb"	0.0717543
brick	0.0707522
"coffee cup"	0.0698291
shrapnel	0.0698264
tumbler	0.0691923
crockery	0.0688278
casing	0.0685292
"hand grenade"	0.0647518
windscreen	0.0642986
shard	0.0640434
racquet	0.0633614
projectile	0.0628847
wrapper	0.0628187
ashtray	0.0617212
jar	0.0616422
vase	0.0606016
cutlery	0.0604093
vial	0.0601441
"Union Jack"	0.0598473
firecracker	0.0588975
snowball	0.0587376
sparkler	0.0586087
two-by-four	0.0585983
crate	0.058532
debris	0.0582335
Grenade	0.0578659
"lawn chair"	0.0577545
canister	0.0566608
"tennis ball"	0.0566122
carafe	0.056357
"alcoholic beverage"	0.0555615
hubcap	0.0555092
machete	0.0551789
"trash can"	0.0551246
"gas tank"	0.0550765
"explosive device"	0.0549029
stool	0.054901
pane	0.0548906
"black flag"	0.0543939
cylinder	0.053553
"small boat"	0.0533432
"golf ball"	0.0532323
shovel	0.0531538
"fire hydrant"	0.0529462
urn	0.0523239
tray	0.0522195
stub	0.0521325
"bowling ball"	0.05206
"cinder block"	0.0519641
"leg bone"	0.0518808
"cigarette lighter"	0.0516478
Pottery	0.0513308
"file cabinet"	0.0511652
confetti	0.0507951
pebble	0.050515
cladding	0.0502703
knife	0.0502241
bookcase	0.0497682
mug	0.0493381
"tennis racket"	0.0491833
"eye socket"	0.0491685
teacup	0.0491378
"paper bag"	0.0490875
"book bag"	0.0483395
"razor blade"	0.048212
carton	0.0481015
"car window"	0.0475768
"shopping bag"	0.0473547
figurine	0.0470689
soda	0.0468849
barbell	0.0467911
lamp	0.0467278
"submachine gun"	0.0466429
"beach ball"	0.0463693
"folding chair"	0.046092
"tree branch"	0.046034
spear	0.0457508
B-@s	0.0457347
"monkey wrench"	0.0457125
Sledgehammer	0.0456044
pylon	0.0455904
"fire extinguisher"	0.0455703
tile	0.0455376
ax	0.0454832
shotgun	0.0454425
"piggy bank"	0.0454074
"knockout punch"	0.0451526
"book jacket"	0.04503
"Van Roost"	0.0449954
broom	0.0448911
pinata	0.0447717
wastebasket	0.0445982
liquor	0.0444719
"fishing rod"	0.044376
pail	0.0443416
racket	0.0443088
harpoon	0.0440739
"garbage can"	0.0438269
manhole	0.0437858
dynamite	0.0437552
fuselage	0.0435906
rod	0.0434637
"trading card"	0.0431766
"land mine"	0.042911
"sawed-off shotgun"	0.0428461
bucket	0.0428158
flashlight	0.0427977
holster	0.0427465
truncheon	0.0427215
sternum	0.0426972
fistful	0.0426379
guardrail	0.0425745
bead	0.0422746
"canned food"	0.0422067
fibula	0.0421527
ornament	0.0421382
pistol	0.0417364
femur	0.0416624
flamethrower	0.0414304
suitcase	0.0413873
Tin	0.0413032
"septic tank"	0.0412421
epithet	0.0412249
napkin	0.041163
candy	0.0410995
"loaf of bread"	0.0408909
limb	0.0408343
fireball	0.0408318
handkerchief	0.0407957
Tomahawk	0.0407146
"American plane"	0.0404147
Boulder	0.0403992
"tin can"	0.0403457
scaffold	0.0402714
"light bulb"	0.0402415
"atom bomb"	0.0402341
"life vest"	0.0402056
))
("beer can" (desc 5221.88) (sims
"beer bottle"	0.147338
"soda can"	0.140532
"gasoline bomb"	0.139402
"cigarette butt"	0.134512
"Molotov cocktail"	0.133188
firebomb	0.127075
"petrol bomb"	0.113427
bottle	0.105454
"water bottle"	0.0931718
wrapper	0.0921711
trash	0.0788566
firecracker	0.0779584
"paper cup"	0.0770401
racquet	0.0763821
brick	0.0758235
"grocery bag"	0.075752
"water jug"	0.0742879
projectile	0.0732831
"human waste"	0.071824
canister	0.0689602
snowball	0.0682839
"trash can"	0.0681246
Garbage	0.0662147
"explosive device"	0.0654201
debris	0.0653664
hubcap	0.065075
"garbage can"	0.0650334
"bowling ball"	0.062424
syringe	0.0623382
carton	0.0621498
jug	0.0621189
rubbish	0.0615651
"coffee cup"	0.0613795
Grenade	0.061254
"hand grenade"	0.0611307
cardboard	0.0606976
vial	0.0575249
"baseball bat"	0.0572579
casing	0.0564963
pebble	0.0556318
"book bag"	0.0537045
bucket	0.0527052
confetti	0.0524436
jar	0.0522897
scraps	0.0514846
"tennis ball"	0.0514253
"pipe bomb"	0.0513643
"ball bearing"	0.0511521
"aluminum foil"	0.0510238
saber	0.0505973
candle	0.0503998
manhole	0.0500703
"wine bottle"	0.0499901
"fountain pen"	0.0499658
two-hitter	0.0494738
"electrical device"	0.0494438
"cigarette lighter"	0.0492949
shard	0.0486287
"eye socket"	0.0485446
"automatic rifle"	0.0482349
"tin can"	0.0480105
arrowhead	0.0478606
suitcase	0.0477759
"chicken sandwich"	0.0472931
stool	0.0472919
"sawed-off shotgun"	0.0471465
eraser	0.0470384
"cargo container"	0.0470226
shingles	0.0470192
"teddy bear"	0.046864
"spring water"	0.0466384
"folding chair"	0.0465493
"dollar bill"	0.0463944
sandbag	0.0461762
"historical document"	0.0460636
Pacifier	0.0455469
feces	0.0454581
crate	0.0453948
briefcase	0.0453947
knickknack	0.0453169
droppings	0.0451404
"dead animal"	0.0450534
"rolling pin"	0.0449315
"golf ball"	0.0447819
junk	0.0444649
"dead body"	0.0440856
thunderbolt	0.0440526
"body part"	0.0439637
eggshell	0.0439451
six-pack	0.043801
"tree branch"	0.0436766
"city block"	0.0436684
pail	0.0436598
"fire extinguisher"	0.0436052
Tin	0.0435958
"oil slick"	0.043576
Dumpsters	0.0434184
harpoon	0.0432687
curveballs	0.0431815
"green salad"	0.0431447
mattress	0.0430271
"extension cord"	0.0428615
ember	0.0428152
"life raft"	0.0427656
barricade	0.0425354
easel	0.0425209
towel	0.0424761
glassware	0.0424467
pillow	0.0423032
"seat cushion"	0.042265
saucer	0.0421112
ashtray	0.0420835
ax	0.0419807
chopstick	0.0418636
refreshment	0.0417924
bouquet	0.0414206
wristband	0.04135
"razor blade"	0.0410984
"beach ball"	0.0410607
backpack	0.0410384
"boarding pass"	0.0410001
diaper	0.0409508
footprint	0.0408388
lumber	0.0408223
sparkler	0.0407963
"paper bag"	0.0407868
trampoline	0.0406439
paraphernalia	0.040305
popcorn	0.0400801
"duffel bag"	0.0400718
bead	0.040022
))
("beer drinker" (desc 893.874) (sims
filmgoers	0.0948134
Trepagnier	0.0892715
Chicagoans	0.0874236
Muscovite	0.085662
"New Jerseyans"	0.0853823
drinker	0.0853783
theatergoer	0.0836151
Ukrainians	0.0801055
"San Franciscans"	0.0796424
householder	0.075815
gamers	0.0749328
taster	0.0744283
techies	0.0735079
Vermonter	0.071981
Englishmen	0.07178
"sports fan"	0.0716976
lexicographer	0.0707449
wage-earner	0.069651
Londoner	0.0682842
dieters	0.0679185
examinees	0.0679137
exerciser	0.0674497
moviegoer	0.0668333
"card holder"	0.0644904
"chess player"	0.0643158
homebuyers	0.0642365
job-seekers	0.0634184
snowboarders	0.0634001
"British people"	0.063306
bullfighter	0.063256
Hawaiians	0.0632444
thespian	0.0629077
capsaicin	0.0598475
Minnesotan	0.0597852
"wage earner"	0.0594585
businesswomen	0.059161
"music lover"	0.0591317
sportswriters	0.0589233
Washingtonian	0.0586633
"job seeker"	0.0584425
townsfolk	0.0583718
holidaymaker	0.0583019
Beijingers	0.0582925
hobbyist	0.0580478
trotter	0.0580176
baby-boomers	0.0579472
marathoner	0.0578312
Midwesterners	0.0576291
VCs	0.0576147
"film maker"	0.0575035
caseloads	0.0573354
bowler	0.0559785
eighth-graders	0.055866
angler	0.0557491
"Internet Service Providers"	0.055679
oddsmakers	0.0553325
"Lori McNeil"	0.0551834
Atlantans	0.055032
Quebecers	0.0550288
"New York Democrats"	0.055021
fella	0.054935
"American Jews"	0.0549261
multimillionaires	0.0547979
"French people"	0.0541587
Cuban-Americans	0.0541263
beachgoers	0.0540826
Brit	0.0539975
"black person"	0.0539131
"white person"	0.053874
urbanites	0.0537347
"New Zealander"	0.0534054
Athenian	0.053375
adoptees	0.0530007
renter	0.0529816
"blood donor"	0.0527658
cardholders	0.0526803
faceoffs	0.0526562
miler	0.0526041
non-Muslims	0.0524671
Ecuadoreans	0.0521808
"matinee idol"	0.0521397
"dairy cow"	0.0519164
Creationists	0.0516864
shad	0.0514641
"people of color"	0.0513523
drillers	0.0511356
Irishmen	0.0511291
"admission price"	0.0508784
"little leaguer"	0.050868
straggler	0.0506557
goer	0.0506038
"HANK KUEHNE"	0.0504893
trifecta	0.0504695
"five spot"	0.050307
bloke	0.0501948
vagabond	0.0499826
"old lady"	0.0499351
"Cuban Americans"	0.0497935
TRUANT	0.0497694
"wise guy"	0.049751
bather	0.0496912
partygoer	0.0496445
bettor	0.0496108
"over $@@ billion"	0.0496026
kayakers	0.0495645
portables	0.0494925
Slovaks	0.0493925
slacker	0.0491141
latecomer	0.0488963
boozer	0.0488298
"farm animal"	0.0487915
concertgoers	0.0487806
goalscorer	0.0484836
cager	0.0482295
snowboarder	0.0482213
e-tailers	0.0478859
Navajos	0.0476853
"ballet dancer"	0.0475487
globetrotter	0.0474122
peregrine	0.0473077
Missourian	0.0472404
pedophiles	0.0471238
Nepalese	0.0471233
"opera company"	0.0470986
singer-songwriters	0.0470634
whiner	0.0470598
bloodhound	0.047005
grown-up	0.0469991
paraplegic	0.0469842
"stamp collector"	0.0468996
serviceman	0.0468584
goal-scorer	0.0468387
Rawabdeh	0.0465744
Guatemalan	0.0465688
"business traveler"	0.0465322
looker	0.0464634
"working man"	0.046365
snowpack	0.0463418
student-athlete	0.04633
preparers	0.0462981
seminarian	0.0462703
caseload	0.0461715
vaulter	0.0461006
half-brother	0.0460536
"hockey player"	0.0459709
firefights	0.0458163
"piece of furniture"	0.0457184
"another @"	0.0455646
laid-offs	0.0455619
"day of reckoning"	0.0455122
evangelicals	0.0453877
DC-@@	0.0453133
jogger	0.045216
"New York Republicans"	0.0451738
"three cents"	0.0451626
desperado	0.0451392
"a few million dollars"	0.0451218
infantryman	0.0450671
connoisseur	0.0450359
genealogist	0.0450249
"hundred thousand dollars"	0.0450017
diabetic	0.0449342
transnationals	0.044863
"art historian"	0.0448068
"jazz musician"	0.0446011
"blue moon"	0.0445134
"first pitcher"	0.0444834
"major leaguer"	0.0443971
Piggie	0.0443634
workmen	0.0443334
"first school"	0.0442893
"President of the United States"	0.0442751
learner	0.0441781
perusal	0.0441066
wideouts	0.0440161
backpackers	0.0438783
backbencher	0.0437636
carmakers	0.0437264
scoutmaster	0.0436768
"opera star"	0.0436495
Speer	0.0435904
polluter	0.0435147
"Anakin Skywalker"	0.0434578
temp	0.0434356
"stock trader"	0.0434292
statesmen	0.0433602
racehorse	0.0432678
probationer	0.0432171
"waiting game"	0.043033
"Les Bleus"	0.0429578
"hundred million dollars"	0.0429204
"growth stock"	0.0428605
clergyman	0.0428175
collegian	0.0426863
"export sale"	0.0426803
registrant	0.0426195
Gibbon	0.0426079
"gas price"	0.0425275
Iowan	0.0423922
Carmichael	0.0423754
))
(Beersheba (desc 1429.79) (sims
Ashkelon	0.258858
Kizlyar	0.181179
Leskovac	0.160343
Kandy	0.158451
Vladikavkaz	0.154731
Juba	0.154337
Baalbek	0.145592
Posoltega	0.143405
Matadi	0.141657
Marjayoun	0.141439
Atambua	0.141002
Antalya	0.140435
Catania	0.133892
Limassol	0.132816
"Port Elizabeth"	0.127709
Lhokseumawe	0.126725
Ballymoney	0.123286
BRIGHTON	0.12158
Tachilek	0.120647
Haicheng	0.119397
Batticaloa	0.117498
Larnaca	0.117295
Vitoria	0.115588
Golcuk	0.115081
Ismailia	0.114898
Ur	0.1115
Walkerton	0.11059
Sochi	0.109734
Kailahun	0.109589
Kisumu	0.109377
"Banja Luka"	0.108507
Ensenada	0.107445
Macoris	0.10736
Gudermes	0.106896
Nabatiyeh	0.10652
Makeni	0.106503
Srbica	0.106448
Kalemie	0.106252
Casas	0.105928
Jericho	0.105852
Multan	0.105628
Chamonix	0.10378
"San Pedro Sula"	0.103688
Nago	0.103589
Jalalabad	0.103288
NIS	0.102518
Guayaquil	0.101577
Saida	0.101253
Mazar-i-Sharif	0.100838
Haifa	0.100292
Sidon	0.0992396
Taloqan	0.0986192
Manado	0.0981921
Izmit	0.0978754
Gisenyi	0.097152
Brcko	0.0946454
Gnjilane	0.0946149
Pattaya	0.0936689
Nakuru	0.0934386
Mankulam	0.0931069
Uvira	0.0928769
Urus-Martan	0.0928682
Urosevac	0.0927097
Warri	0.0922257
Ghent	0.0919535
Talipao	0.0916217
Vukovar	0.091573
Lille	0.0914666
"San Cristobal"	0.0913807
Shali	0.0911796
Aachen	0.0892032
Nablus	0.0891361
Kismayu	0.0888105
Bukavu	0.0885646
Khabarovsk	0.0882759
Novosibirsk	0.0880305
Peshawar	0.0878041
"Del Rio"	0.0876022
Pailin	0.0874763
Rawalpindi	0.0872529
Blackpool	0.0866684
Astana	0.0866432
"Suva Reka"	0.0865114
PEC	0.085953
Sihanoukville	0.0858449
Trincomalee	0.085806
Klina	0.0856609
Tuzla	0.0856351
Ramallah	0.0847931
Luxor	0.0845384
Rafah	0.0844859
Kukes	0.0839465
Pancevo	0.0838275
Cacak	0.083389
Mbarara	0.0830244
Najaf	0.082975
"Nuevo Laredo"	0.0829548
Jezzine	0.0827937
Farmington	0.0826949
Dundalk	0.0825084
Izmir	0.0823061
Argun	0.0820649
Vedeno	0.0820259
Nogales	0.0818253
Kabwe	0.081555
"Mazari Sharif"	0.0815506
Kindu	0.0812273
Avignon	0.0810009
Skaneateles	0.0809043
Princeville	0.0807943
Gdansk	0.0803383
Ibadan	0.0794951
bethel	0.0792611
Whitbread	0.0792042
Kragujevac	0.0789978
Bayonne	0.0789212
Moshi	0.0785373
Malaga	0.0778882
Irbil	0.0778156
Hillsboro	0.0777565
Durres	0.0774585
"Novi Sad"	0.077449
Orahovac	0.0774298
Bulawayo	0.0774144
Khost	0.0773334
Odessa	0.077247
Tapachula	0.0770526
Murmansk	0.0768775
Mitrovica	0.0767177
Hastings	0.0764378
Prizren	0.076302
"Kosovska Mitrovica"	0.076241
Omagh	0.0758893
Baidoa	0.0757513
Tokaimura	0.0757362
Sevastopol	0.0754594
Makhachkala	0.0753646
Kuito	0.0753299
Bushehr	0.0752411
Londonderry	0.0749153
Aswan	0.0744198
Kitwe	0.0739528
Basra	0.0731656
Davao	0.0731196
Mostar	0.0728516
Jenin	0.0724583
Salonika	0.0724463
Podujevo	0.0723751
Kijevo	0.0723563
Sirte	0.0723042
Cairns	0.0722715
Mashhad	0.0722377
Kilinochchi	0.072182
CAMILLA	0.0718842
"CHIANG MAI"	0.0717245
Dunedin	0.0716332
Gulu	0.0711605
Charleroi	0.0708942
"Ciudad Juarez"	0.070666
Merca	0.0704813
Jinja	0.0704597
Djakovica	0.0704
Livingstone	0.070368
Bo	0.0703658
Lubumbashi	0.0701372
Weimar	0.0700736
Pelham	0.0699152
Taba	0.0698994
Lucerne	0.0698377
Dubrovnik	0.0697647
Hyderabad	0.0696946
Prijedor	0.0696817
Bamiyan	0.0696636
Herat	0.0695566
Nazareth	0.069276
"Ocean City"	0.0691324
Cochabamba	0.069039
Kenema	0.0690377
Goma	0.0689534
Wildwood	0.0689045
Yekaterinburg	0.0689009
Beira	0.0688534
Palembang	0.0687429
Samara	0.0685479
Hempstead	0.0681282
Lahore	0.0680293
Golmud	0.067965
Junik	0.0678526
Kano	0.0678073
Kuching	0.0677418
Baoding	0.0677026
Mosul	0.0676231
Plata	0.067304
Quetta	0.0672145
Zhangzhou	0.067085
Juarez	0.0669423
Aden	0.0667604
Christchurch	0.0665515
Adana	0.0664195
Youngstown	0.0663785
))
(beet (desc 14729) (sims
carrot	0.251434
radish	0.245109
cabbage	0.240264
celery	0.239487
turnip	0.239212
cucumber	0.239165
tomato	0.233114
onion	0.232951
leek	0.227562
eggplant	0.227459
spinach	0.224388
potato	0.22328
zucchini	0.216437
parsnip	0.213222
"sweet potato"	0.212766
asparagus	0.206362
"red onion"	0.203341
"bell pepper"	0.197367
lettuce	0.193276
Broccoli	0.19224
fennel	0.191335
squash	0.190083
artichoke	0.185206
rutabaga	0.18297
mushroom	0.181008
"red pepper"	0.180802
"brussels sprout"	0.180362
pea	0.179947
cauliflower	0.17806
bean	0.174801
Garlic	0.174677
okra	0.174497
arugula	0.173073
"green bean"	0.172737
pear	0.170918
pumpkin	0.169308
Kale	0.168558
pineapple	0.164552
corn	0.162778
melon	0.162116
watermelon	0.162058
shallot	0.160241
scallion	0.159947
pepper	0.158775
avocado	0.152422
vegetable	0.151218
"green onion"	0.147908
chard	0.146647
mango	0.143788
Endive	0.141967
peach	0.134141
"garlic clove"	0.133556
jalapeno	0.133146
"winter squash"	0.132237
"lima bean"	0.130545
"green pepper"	0.12998
barley	0.128675
apple	0.128095
"sugar beet"	0.127881
lentil	0.127853
Chickpea	0.127096
watercress	0.126932
ginger	0.124951
parsley	0.123866
chiles	0.123344
Basil	0.1233
mozzarella	0.122772
cilantro	0.121446
pork	0.121023
cheese	0.120927
"Swiss chard"	0.120869
olive	0.120864
shrimp	0.120592
fruit	0.119793
"bean sprout"	0.119621
tomatillo	0.118423
Collard	0.118221
chilies	0.11777
ham	0.117127
"plum tomato"	0.116969
"beef tenderloin"	0.116371
RHUBARB	0.116319
soybean	0.116239
grape	0.115962
cantaloupe	0.115627
radicchio	0.115064
cassava	0.11457
strawberry	0.114404
"string bean"	0.11396
"sugar cane"	0.113953
lemon	0.113536
plantain	0.112825
grapefruit	0.112542
"cherry tomato"	0.112489
yam	0.112174
veggie	0.11172
salad	0.111683
"chicken breast"	0.111123
banana	0.110511
blueberry	0.109852
sauerkraut	0.109771
"sweet corn"	0.109722
"red bell pepper"	0.108928
fig	0.107604
pasta	0.106793
meat	0.106718
bacon	0.105852
sausage	0.105807
romaine	0.105742
"goat cheese"	0.105553
"tomato sauce"	0.104994
berry	0.104848
rice	0.104827
mustard	0.104566
plum	0.104498
chicken	0.104461
sugarcane	0.104387
cranberry	0.104344
noodle	0.1043
rapeseed	0.104028
"white bean"	0.102907
sorghum	0.10263
papaya	0.102523
"iceberg lettuce"	0.10244
soup	0.102181
lime	0.101519
almond	0.101435
canola	0.101283
hazelnut	0.100812
bread	0.0997507
Chili	0.0993233
scallop	0.0992233
raisin	0.0990692
millet	0.0990395
pickle	0.0983766
"shiitake mushroom"	0.0977586
coconut	0.0974928
tuna	0.0973026
"bok choy"	0.0970609
"root vegetable"	0.0970563
lobster	0.0970049
egg	0.0960414
peanut	0.0959192
"black olive"	0.0957649
chive	0.0951409
mussel	0.0940269
"hot pepper"	0.0934798
sprout	0.0934765
herb	0.0932935
butter	0.0930665
"pork loin"	0.0928082
"black bean"	0.0927
sauce	0.0926113
alfalfa	0.0923251
wheat	0.0922968
vinaigrette	0.0916824
apricot	0.0911461
Sorrel	0.0911365
Orange	0.0910364
raspberry	0.0908937
prosciutto	0.0907983
"coconut milk"	0.0904033
nectarine	0.0901307
"Vidalia onion"	0.0897446
"cheddar cheese"	0.0895578
mint	0.0893562
frisee	0.0892184
horseradish	0.0891715
POTATOES	0.0890532
"fava bean"	0.0889493
tofu	0.0889248
mayonnaise	0.0887903
"citrus fruit"	0.0886919
cornmeal	0.0886125
clam	0.0885848
sugar	0.0883028
cotton	0.087997
truffle	0.087642
beef	0.0875043
puree	0.0874419
oregano	0.087261
yogurt	0.0871587
sunflower	0.0869479
"black-eyed pea"	0.0869443
mesclun	0.086621
oat	0.086586
vinegar	0.0860558
"cane sugar"	0.0860166
thyme	0.0857041
octopus	0.0856465
oyster	0.0855788
"Chinese cabbage"	0.0854889
Cheddar	0.0852728
salt	0.085077
clove	0.0847289
florets	0.0846777
"romaine lettuce"	0.084543
kernel	0.084017
"hard-boiled egg"	0.0839339
"sunflower seed"	0.0833942
))
(Beethoven (desc 15121.5) (sims
Mahler	0.293191
Brahms	0.284477
Mozart	0.274274
Schubert	0.269353
Chopin	0.255928
Tchaikovsky	0.248614
Haydn	0.246352
Schumann	0.243378
Bach	0.236145
Mendelssohn	0.23361
Shostakovich	0.230071
Prokofiev	0.223448
Debussy	0.220038
Rachmaninoff	0.219857
Stravinsky	0.218031
Bartok	0.198467
Ravel	0.179154
Liszt	0.17347
Bruckner	0.166777
DVORAK	0.154586
Vivaldi	0.138963
Gluck	0.136629
Verdi	0.133584
Webern	0.127834
Strauss	0.125593
Schoenberg	0.125365
Berlioz	0.12138
Puccini	0.1082
Copland	0.107928
Wagner	0.104202
"Richard Strauss"	0.101655
Handel	0.099438
Elgar	0.0986077
Rossini	0.0985125
Gershwin	0.0974747
Ellington	0.0870852
Messiaen	0.0854514
Ives	0.0830269
composer	0.0798293
Bernstein	0.0789118
symphony	0.0717837
Schiller	0.0671746
"Duke Ellington"	0.0660908
"Leonard Bernstein"	0.0637088
"John Cage"	0.0635576
Monteverdi	0.0623452
Britten	0.0578394
"Cole Porter"	0.0561416
"Andrew Lloyd Webber"	0.0548627
"Bob Dylan"	0.053421
Berg	0.053356
Shakespeare	0.0528343
Elvis	0.0513603
sonata	0.051311
"classical music"	0.0510786
concerto	0.0505939
Balanchine	0.0501737
"Elton John"	0.0500958
"Aaron Copland"	0.0497816
Beatles	0.0493208
Boulez	0.048942
"Fifth Symphony"	0.0489253
opera	0.0477618
"Symphony No. @"	0.0473579
Jazz	0.0471863
"John Adams"	0.0467861
"John Williams"	0.0466052
"chamber music"	0.0464948
Sinatra	0.0445002
"Philip Glass"	0.0437444
"Miles Davis"	0.043482
violin	0.0427784
Balzac	0.0427644
"Amazing Grace"	0.0423795
Pushkin	0.0421676
cello	0.0420033
clarinet	0.0408571
oboe	0.0401582
))
(beetle (desc 14752) (sims
insect	0.146734
moth	0.120035
ant	0.117301
worm	0.115891
mosquito	0.110803
pest	0.10892
"fire ant"	0.103758
bug	0.103074
WASP	0.0978295
locust	0.0961535
termite	0.0948466
spider	0.0942637
weevil	0.0929885
rodent	0.0921278
bee	0.0903737
mite	0.0890201
amphibian	0.0876584
aphid	0.0874656
bird	0.0859531
nematode	0.0844353
snake	0.0839651
lizard	0.0804472
"New Beetle"	0.079808
bacteria	0.0795057
ladybug	0.0793946
cockroach	0.0792123
flea	0.0789424
larvae	0.0782612
fungus	0.0768515
reptile	0.0764898
crustacean	0.0747774
butterfly	0.0741247
vermin	0.0739737
dragonfly	0.0738954
snail	0.0737006
virus	0.0736774
grasshopper	0.073655
rat	0.0729106
maggot	0.0725868
parasite	0.0718047
critters	0.071618
turtle	0.0708493
"Volkswagen Beetle"	0.0707588
Roach	0.0706064
animal	0.0702638
creature	0.0677866
"fruit fly"	0.0665793
scorpion	0.0665153
weed	0.0660963
Dinosaur	0.06592
specie	0.0658644
earthworm	0.0657865
pollen	0.0654419
crocodile	0.0648439
fish	0.0647947
mice	0.064752
mammal	0.0641638
hummingbird	0.0636304
canker	0.0634487
microorganism	0.0633208
Lice	0.0631305
honeybee	0.0628239
leech	0.0624022
germ	0.0623982
"subatomic particle"	0.0622507
frog	0.0620057
mildew	0.0618413
Sedan	0.0610925
vertebrate	0.0605493
microbe	0.0600069
elephant	0.059458
"AIDS virus"	0.0593949
invertebrate	0.0589211
deer	0.0586182
predator	0.0585131
squirrel	0.0580384
hominid	0.0579853
woodpecker	0.0578471
spore	0.0577057
Camaro	0.0576846
salamander	0.0576473
borer	0.0574693
bacterium	0.0574271
organism	0.056933
Passat	0.0561574
Vulture	0.0559938
Jetta	0.0559527
convertible	0.0559239
fungi	0.0557522
Primate	0.0555576
toad	0.055426
monkey	0.0553036
chimpanzee	0.0552616
"flowering plant"	0.0552047
"black bear"	0.0547906
gnat	0.0546174
sapling	0.0545524
tarantula	0.0538152
algae	0.0534651
alligator	0.0532044
"life form"	0.0530796
pig	0.0528599
roadster	0.0526402
shark	0.0525113
eel	0.0520177
geese	0.0519613
"explosive device"	0.0519024
orchid	0.0516977
rabbit	0.0513591
grub	0.0513566
tick	0.0512626
minivans	0.0512089
"sports car"	0.0511627
impala	0.051121
owl	0.0507932
flower	0.050241
"sea otter"	0.0502062
"sea turtle"	0.0497301
iguana	0.0496495
"PT Cruiser"	0.0496415
raccoon	0.0495739
"passenger car"	0.0488484
"station wagon"	0.0487096
cormorant	0.048484
penicillin	0.0484713
"plant disease"	0.0483745
CAT	0.0483462
pathogen	0.0482326
panda	0.0480851
pesticide	0.0480796
trout	0.0478952
ostrich	0.0476859
SUV	0.0474299
"West Nile"	0.0470804
T-cells	0.0468496
goat	0.0467874
mollusk	0.0466804
mold	0.0464803
crow	0.0463134
Caterpillar	0.0463004
"Love Bug"	0.0462909
rhino	0.0458355
monster	0.045805
minibuses	0.0457777
wolf	0.0455019
tractor	0.0454559
Thunderbird	0.0453654
mussel	0.0452596
scavenger	0.0451587
sheep	0.0451566
cow	0.0448418
eater	0.0446631
fossil	0.0445368
chemical	0.0445078
seedling	0.0444859
toxin	0.0444766
tortoise	0.0444152
chimp	0.0443368
parrot	0.0442281
"foot-and-mouth disease"	0.0441384
"bird of prey"	0.0441382
whale	0.0440404
particle	0.0437329
Prius	0.0436708
specimen	0.0436401
"Ford Taurus"	0.0436027
minivan	0.0432124
"compact car"	0.0431676
sport-utility	0.0430017
asteroid	0.0428655
Gene	0.0428454
coli	0.042831
shrub	0.0427438
"TV dinner"	0.0427364
leopard	0.0427008
offspring	0.0426413
"Honda Civic"	0.0425313
pet	0.0421683
Robot	0.0420771
Hummer	0.0420259
crab	0.0418205
sturgeon	0.0418077
chicken	0.0417389
"prairie dog"	0.0417147
beast	0.0416976
tiger	0.0415652
SUVs	0.0414723
pigeon	0.0413875
poison	0.0413643
wildflower	0.0412959
carnivore	0.0412538
"Palm VII"	0.0412518
mole	0.0412428
"electric car"	0.0411667
pickup	0.0411495
"living thing"	0.0410367
"yellow jacket"	0.0410228
"Bengal tiger"	0.0409512
intruder	0.0408639
Motorcycle	0.0407761
))
(Begala (desc 1678.81) (sims
"Mike Leavitt"	0.126564
Azinger	0.121406
Guthridge	0.107864
bourgeois	0.107798
"Paul Begala"	0.103493
Silas	0.0944925
"Sam Wyly"	0.0943606
Ainge	0.0913605
Haarhuis	0.0899028
Wenger	0.0880077
Coffey	0.0854477
Ruehe	0.0838629
Tagliabue	0.0830625
Eizenstat	0.0819295
Burgess	0.0812986
Piot	0.0806835
Goossen	0.0805557
Beye	0.0791104
Kagame	0.078995
Ince	0.0789412
DeShields	0.0783036
Bella	0.0780414
Clements	0.0771037
Zucker	0.0767056
Robson	0.075311
Lambert	0.0751917
Scholes	0.0747449
Contreras	0.0747421
Kearin	0.0737086
Manley	0.0730337
Tomey	0.0725081
Koskinen	0.0722422
"Orlando Mercado"	0.0717585
Schmid	0.0717238
Coverdell	0.0710017
Zambrano	0.070915
Allard	0.0705907
Guterres	0.0697382
McCurry	0.0697351
Moonves	0.0697346
Lampkin	0.0693049
"John Engler"	0.0692558
Bakaly	0.0690168
Kyl	0.0684373
Dowd	0.068227
Passarella	0.0681232
Lowry	0.0680888
Siazon	0.0676631
McDonnell	0.0676521
Foyt	0.0676286
Conroy	0.0675305
Fleischer	0.0672913
Auriemma	0.0672321
Myhrvold	0.0670398
Pruett	0.0669584
Godfrey	0.0669219
Soyinka	0.0668482
O'Connell	0.066763
Braswell	0.0666901
Furyk	0.0666189
Hauser	0.0666007
Solich	0.0665941
Milbury	0.066347
Solis	0.0663451
Farber	0.0662888
Rangel	0.0658522
Jobe	0.0658258
Coulthard	0.0654181
Garces	0.0653701
Schrempp	0.0653602
Applegate	0.0653283
Rahal	0.0652227
Skiles	0.0650783
Singson	0.0650637
Hybl	0.0646209
Flanagan	0.0644509
Geiger	0.0643984
Wagoner	0.0641705
Markey	0.0639476
Vogel	0.0638245
Tracy	0.0637259
Prewitt	0.0637143
"La Russa"	0.0636391
Gu	0.0635692
Maurice	0.0634658
Frye	0.0633834
Kennard	0.0630937
Andreychuk	0.0629372
Husseini	0.0628743
Ftorek	0.0628484
Fleisher	0.0626634
Reiner	0.0626453
Herron	0.0625768
Wolfson	0.062477
Heinrichs	0.0623837
Justin	0.062309
Satcher	0.0621498
Cooley	0.0620677
Chao	0.0617708
Cheever	0.061513
"Rich Brooks"	0.0614882
Talebi	0.0613599
Groening	0.061115
Rossotti	0.0609588
Finney	0.0607906
Echols	0.0607339
Patel	0.0605217
Posner	0.0604511
Weiner	0.0604485
Sheehan	0.0603861
Boles	0.0603821
Marineau	0.0602643
Foudy	0.0601197
Popovich	0.059989
Kessler	0.0599379
Troussier	0.0599277
Clifford	0.0598572
Bustamante	0.059822
McKinnon	0.059558
Kelleher	0.0593714
Gainey	0.0591577
Naumann	0.0590188
Laudrup	0.058988
Goldin	0.0589516
Feuer	0.0586561
"Jack Valenti"	0.0586223
Beazley	0.0585743
Cayard	0.0585296
McKenna	0.0583899
Bavasi	0.0582656
Zuckerman	0.0580576
Paxon	0.0580216
Monahan	0.0579723
Hiddink	0.0578783
Sheng	0.0578232
Ricci	0.0578216
Mercado	0.0578085
Alford	0.0577569
Inman	0.0577485
wheeler	0.0577285
Timlin	0.0577093
Hendrickson	0.0576767
silber	0.0576495
Babbitt	0.0575349
Garcetti	0.0575054
Rooney	0.0574734
Finkel	0.0574412
Leavitt	0.0573957
Tharp	0.0572642
Andreessen	0.0572412
"Andrew Cuomo"	0.057175
Romar	0.057142
Morgenthau	0.0571143
Hodler	0.05711
Gullikson	0.0570486
Rongen	0.0568982
Reinhardt	0.0568798
Briscoe	0.0566987
Aguirre	0.0566145
Ebersol	0.0565057
Sherrill	0.0563837
Scharping	0.0560674
Donnan	0.0560614
Rubenstein	0.055795
Ackerman	0.0557354
McDaniel	0.0556502
McInnis	0.055572
Hensley	0.0555643
Billick	0.0555533
Cowher	0.0555146
Advani	0.0554369
Baugh	0.0554302
Chadwick	0.0553134
Verniero	0.0552726
Edelstein	0.0552216
Insulza	0.0551462
Alarcon	0.0551064
Dungy	0.0550963
Weinstein	0.0550676
Greenberg	0.055018
Bubb	0.0550066
McKeon	0.0549542
Desormeaux	0.0548185
Shinn	0.0547184
Summitt	0.0546704
Shriver	0.0546195
Werner	0.0545125
Samuelson	0.0544981
Gascoigne	0.0542677
Engler	0.0542532
Lowery	0.0541227
Krasniqi	0.0540691
Mandelson	0.0540658
Pearce	0.0539382
Podesta	0.0536778
Weisman	0.0536648
Danforth	0.0536306
Krzyzewski	0.0535622
Kumar	0.0534866
Cleese	0.0534443
))
(BEGAY (desc 1947.38) (sims
Stricker	0.148402
Cink	0.141662
Kuehne	0.135362
Hoch	0.129555
Appleby	0.123976
Mickelson	0.117006
Singh	0.116966
O'Meara	0.110635
Furyk	0.107826
Janzen	0.105662
Westwood	0.102549
Duval	0.102277
Gogel	0.101204
Parnevik	0.100957
Durant	0.100669
Solis	0.0971782
Maruyama	0.0964995
"Nick Price"	0.0920212
Inman	0.091626
Quigley	0.0913855
McGuire	0.0909176
Nicklaus	0.0906304
Ratner	0.0888943
Heinrichs	0.0879337
Marinovich	0.0873528
Sutton	0.0868327
nance	0.0864581
Bodine	0.0864334
Andreychuk	0.0842385
Dougherty	0.0842206
Azinger	0.0836061
estes	0.0833431
Ivey	0.0832789
Chung	0.0832007
Montgomerie	0.0828078
"Jim Furyk"	0.0818491
Huston	0.0817919
"Vijay Singh"	0.0817918
Talebi	0.0817249
Elkington	0.0811869
Inkster	0.0807329
Mallon	0.0806564
Cepeda	0.0801615
Faldo	0.0794411
Chuasiriporn	0.0792868
Iglesias	0.0791583
"de Charette"	0.0790816
Newsome	0.0787758
Calloway	0.0787306
Sorenstam	0.0782716
Wilhelm	0.0776721
Rubenstein	0.0776155
Jayakumar	0.0775227
Colbert	0.0775013
Paulson	0.077401
Auriemma	0.0771027
Driscoll	0.0769303
Browne	0.0768276
Kerik	0.0764825
Woolley	0.0764524
Leonard	0.0762335
el	0.0761424
Samuelson	0.0760396
Triplett	0.0759741
Hartsburg	0.0756114
Fleischer	0.0753817
Cota	0.0753006
Vogel	0.0749326
Mcbride	0.0748284
"David Duval"	0.0745294
Rahal	0.0744722
"Brad Faxon"	0.0741565
Valenzuela	0.073843
"Loren Roberts"	0.0737396
McKnight	0.0736295
Bratton	0.0735228
Stayner	0.0732509
Weisman	0.0730977
"Mark O'Meara"	0.0730678
"Lee Janzen"	0.0729783
"Shigeki Maruyama"	0.0728829
Herta	0.0725538
Baugh	0.0722814
Baird	0.0721362
Jacobsen	0.0719541
Primeau	0.0719388
Jaffe	0.0717937
Daly	0.0715891
Garcia	0.0714226
Whitacre	0.0714208
"Phil Mickelson"	0.0713303
Meggett	0.0711632
Martorano	0.0711468
Schmitt	0.0710328
Mayfair	0.0709856
Henley	0.0709
Shayler	0.0708882
Eizenstat	0.0708001
"Ernie Els"	0.070786
Matthews	0.0705118
Nikitin	0.0704994
Mullin	0.0704871
Katsav	0.0703972
Ness	0.0703273
Aoki	0.0702514
Fassett	0.0700664
Hensley	0.0700237
Atler	0.0698563
Jenoff	0.069703
Stillman	0.0694633
Norstrom	0.0693747
Biffle	0.0691226
"Justin Rose"	0.0691202
Musa	0.0689604
Sheedy	0.0689469
Calcavecchia	0.06894
Fagan	0.0689304
Insulza	0.0687593
"Hal Sutton"	0.0685421
Bouchard	0.0683697
Hickman	0.0683449
Hawke	0.0682959
McCarron	0.0679909
Jacke	0.0679407
Schrader	0.0678883
Meeks	0.0677343
Faget	0.0675638
Ebersol	0.0674529
Cabrera	0.0673837
Maher	0.0673819
Carbonneau	0.0672754
Flanagan	0.0671833
Swango	0.0671649
Azizah	0.0671232
Rau	0.0670027
Gauthier	0.0668399
Soto	0.0667736
Borbon	0.0667025
Newcombe	0.0666836
"Davis Love"	0.0666663
McHale	0.0665955
"Davis Love III"	0.0664904
Paxon	0.0664805
Brunner	0.0664615
STALEY	0.0663334
Baba	0.0662947
McGregor	0.0662658
Laettner	0.0662544
Longo	0.0662028
Fortier	0.0661817
"Justin Leonard"	0.0660904
Valdez	0.066086
Sahadi	0.0660826
"Jose Maria Olazabal"	0.0660508
Tocchet	0.0660425
McGinest	0.0659402
"Stuart Appleby"	0.0658108
Storr	0.0656037
Fernandes	0.065514
Khabibulin	0.0654368
rudd	0.0653662
O'Neil	0.0653385
Kurth	0.065303
Shulman	0.0652865
"Jeff Maggert"	0.0652395
Ciampi	0.0652153
Ainge	0.0651362
"Tiger Woods"	0.0650514
Clooney	0.0649578
Yoon	0.064905
Ikimi	0.0648531
Moratinos	0.0646253
Khrushchev	0.0645506
Schourek	0.0645139
Autry	0.0643325
Cormier	0.0643156
Godfrey	0.0642803
Kumaratunga	0.0642637
Sasser	0.0639427
Grbac	0.0638823
Tanaka	0.0638297
"Van Roost"	0.0636048
Flockhart	0.0635367
O'Reilly	0.0634091
Kuchar	0.0632083
DiPietro	0.0630595
McAllister	0.0630584
Joyner-Kersee	0.0630436
Narayanan	0.0629834
Woodard	0.0629419
Goossen	0.062939
DiMaio	0.0628952
Richards	0.0628699
Soares	0.0628434
Smyers	0.0628177
Ganassi	0.0628089
D'Amico	0.0627756
Schroder	0.062742
Pak	0.0627108
Sebaggala	0.0626636
))
(beggar (desc 8154.16) (sims
panhandler	0.104856
mugger	0.0884909
hawker	0.0786204
swindler	0.0767411
"drug dealer"	0.0754574
hoodlum	0.0708558
peddler	0.0691576
"drug user"	0.068086
"drug addict"	0.0658138
prostitute	0.0655434
pimp	0.0652663
pickpocket	0.0632902
Pusher	0.0617091
neo-Nazis	0.0616012
peasant	0.0593665
burglar	0.0591578
vagrant	0.0584242
pornographer	0.0583226
transvestite	0.0583204
hippy	0.057455
scalpers	0.0573741
migrant	0.0567037
"juvenile delinquent"	0.0566387
abuser	0.0561459
bum	0.0555222
thief	0.055046
robber	0.055014
partygoer	0.0540994
hooligan	0.0533807
laborer	0.0533101
vendor	0.0530887
reveler	0.0522387
"little leaguer"	0.0515187
protestor	0.0514738
illegals	0.0512081
vagabond	0.0503664
learner	0.0502598
"volleyball player"	0.0501265
Mozambican	0.0499495
drunk	0.049865
gambler	0.0496477
retiree	0.0495491
"drug trafficker"	0.0494003
TRUANT	0.0493581
counterfeiter	0.0491048
pensioner	0.0484231
Hooker	0.0480881
"census taker"	0.0480555
troublemaker	0.0479025
"farm worker"	0.0478205
addict	0.0476469
"hockey player"	0.0474783
derelict	0.0473048
deserter	0.0470846
desperado	0.0470561
"home buyer"	0.0470096
"college student"	0.0465139
stuntman	0.0464223
salesmen	0.0463273
preacher	0.0460148
stripper	0.0459163
"black person"	0.0458838
"big leaguer"	0.0457913
"guardian angel"	0.0456711
"heroin addict"	0.045498
"old man"	0.0454428
newspaperman	0.0451867
junkie	0.0449654
leper	0.0449569
alcoholic	0.0448365
daredevil	0.0447747
pedestrian	0.0445308
thug	0.0444817
"university student"	0.0443528
shopkeeper	0.0442605
hillbilly	0.044215
junky	0.0441169
lawbreaker	0.0440574
grown-up	0.0440013
smuggler	0.0439657
Gypsy	0.0439536
transient	0.0439414
dweller	0.0439103
felon	0.0438788
monk	0.0438537
donkey	0.0438429
bandit	0.0437429
pedophile	0.0436502
craftsmen	0.0435385
trafficker	0.0430387
Rapist	0.0429808
pup	0.0428747
knucklehead	0.0427657
"stock company"	0.0427154
"senior citizen"	0.04271
Haitian	0.0426391
crook	0.0426192
profiteer	0.0425766
backpackers	0.0425127
"hit man"	0.0424344
Navajo	0.0424165
renter	0.0422577
outcast	0.0422348
"mentally retarded"	0.0420998
well-wisher	0.0420299
"jazz musician"	0.0420042
demonstrator	0.0419156
murderer	0.0418627
homeless	0.0418566
miner	0.0418424
expatriate	0.041823
revolutionary	0.0417848
mercenary	0.041769
deejays	0.0413899
pilgrim	0.0413769
looter	0.0410667
servant	0.0410165
"folk singer"	0.0409334
"little girl"	0.0409204
poet	0.0408628
brawler	0.0407575
despot	0.0407431
homosexual	0.0407248
"Jehovah's Witness"	0.0406699
poacher	0.0405252
mourner	0.0403499
cabdriver	0.0403279
squatter	0.0402924
detainee	0.0402657
bodysuits	0.0402364
multimillionaires	0.0402345
illiterate	0.0402294
hippie	0.0402087
"church member"	0.0401657
plotter	0.0400672
"factory worker"	0.0400652
))
(begging (desc 11402.8) (sims
guessing	0.0598752
waiting	0.0544023
hunger	0.053392
craving	0.0525742
appetite	0.0504287
"jumping up and down"	0.0492948
yelling	0.0455249
pleading	0.0447198
thirst	0.0432459
solicitation	0.0427128
bum	0.041809
lust	0.041779
"thank you"	0.0416113
longing	0.0412355
yearning	0.0411456
sucker	0.0408505
"paying attention"	0.0400252
))
(begin (desc 2098.06) (sims
"Menachem Begin"	0.124142
Abbas	0.0666413
Balaguer	0.0606367
Deuba	0.0575127
Shahak	0.0567091
Chand	0.055456
Chuan	0.054878
Rakhmonov	0.0543921
Vasile	0.0533285
Koch-Weser	0.0532963
Chretien	0.0522977
Banharn	0.0509298
Bhutto	0.0506312
Chavalit	0.0499939
Peres	0.0499489
Aideed	0.0483049
D'Alema	0.0478431
Rabin	0.0474509
Orban	0.0474503
Zeman	0.0474301
Shevardnadze	0.0470611
Benazir	0.0466261
Bishara	0.0464629
UML	0.0460912
Stepashin	0.0460391
Hashimoto	0.0456863
Murayama	0.0456622
Schmitz	0.0456034
Majali	0.0454391
Ouattara	0.0454288
Meciar	0.0453195
Jansher	0.0452008
Bildt	0.0451541
one-to-one	0.0448445
Tudjman	0.0447005
Mordechai	0.0444428
Komura	0.0441588
Nano	0.0440354
Sezer	0.0434712
"Dhaka Stock Exchange"	0.0432682
"Amnuay Virawan"	0.0431329
Fabius	0.043002
Simitis	0.0428437
Gowda	0.0426292
Kiriyenko	0.0423373
Kok	0.0422074
Pastrana	0.0421817
"Louis Farrakhan"	0.0421582
"Abu Mazen"	0.042087
Rafsanjani	0.0419059
Cardoso	0.0417477
"Hong Kong Stock Exchange"	0.0410307
Ershad	0.0409923
Willes	0.0409855
Hariri	0.0406255
Amato	0.0405591
Buzek	0.0405385
Hasina	0.0405215
Aristide	0.0404616
))
(beginner (desc 10667) (sims
novice	0.156446
gardener	0.0658069
traveler	0.0653982
"good person"	0.0646174
hobbyist	0.0644949
Amateur	0.0642117
"sports fan"	0.0640466
youngster	0.0634889
idiot	0.0620517
learner	0.0615337
shopper	0.0612055
"business traveler"	0.0602277
newcomer	0.0576893
golfer	0.0574383
teen-ager	0.0549361
hiker	0.0537944
"world traveler"	0.0536863
surfer	0.0536688
entrepreneur	0.0535509
"senior citizen"	0.0530275
buff	0.0528086
homeowner	0.0523136
snowboarders	0.0522991
"college student"	0.0522488
"ballroom dancing"	0.0521979
"young person"	0.0521185
freshmen	0.0514782
diabetic	0.0511867
gamers	0.0508497
collector	0.0501352
teenager	0.0500216
dummy	0.0499945
skier	0.0496859
chef	0.0488056
pupil	0.0486256
elderly	0.0485037
grown-up	0.0481615
algebra	0.0480553
caregiver	0.0469754
retiree	0.0469542
disabled	0.0467657
"big leaguer"	0.0464469
preschoolers	0.0463757
tomboy	0.0463567
Hunter	0.0461121
imposter	0.0460232
vegetarian	0.0458898
insider	0.0453366
moron	0.0452673
junkie	0.0450722
"foster child"	0.0447122
teens	0.0446784
drinker	0.0446427
"juvenile delinquent"	0.0440175
diver	0.0436417
voyeur	0.0435719
jogger	0.0433983
geek	0.0432922
undergraduate	0.0432255
kayakers	0.0432168
handicapped	0.0430726
skater	0.0427814
newbies	0.0426207
hacker	0.0425969
amputee	0.0425691
"over @@"	0.0424902
swimmer	0.0417117
"computer programmer"	0.0416767
"young girl"	0.0416647
cynic	0.0414832
neophyte	0.041267
impostor	0.0411471
aged	0.0408102
wimp	0.0407961
"hard worker"	0.0407781
junky	0.0406015
Programmer	0.0405886
enthusiast	0.040472
addict	0.0404493
"security consultant"	0.0403947
startup	0.0400388
))
(beginning (desc 142991) (sims
start	0.188212
end	0.154324
outset	0.138699
time	0.102786
moment	0.092537
opening	0.0832633
inception	0.0830114
ending	0.0823805
date	0.0758764
first	0.0752304
period	0.0742466
"turning point"	0.0723531
year	0.0722477
event	0.0718653
"early days"	0.071354
culmination	0.0707164
day	0.0706604
point	0.0701202
continuation	0.0697623
middle	0.0687695
stage	0.0686428
part	0.0684227
onset	0.0670893
"first day"	0.0664025
anniversary	0.0661829
success	0.0661548
all	0.0651355
dawn	0.0650681
founding	0.0649082
meeting	0.0642725
phase	0.0635067
birth	0.0630785
era	0.0628636
peak	0.0624479
election	0.0615279
conclusion	0.0612066
"turn of the century"	0.0607059
midst	0.0605938
"first week"	0.0605595
session	0.0604068
result	0.0595314
milestone	0.0594992
month	0.0594952
introduction	0.0587723
game	0.0584792
height	0.0583939
pace	0.0582087
season	0.0573863
completion	0.0569001
age	0.0565039
night	0.0561788
level	0.0560053
kind	0.0557219
step	0.0555624
summit	0.0554779
outcome	0.0554766
most	0.0554417
breakthrough	0.0554206
prospect	0.0553403
sign	0.0553054
indication	0.0552471
ceremony	0.0552025
now	0.0549421
series	0.0549083
this	0.0547046
development	0.0546082
aspect	0.054355
rate	0.0542337
conference	0.0542201
"first step"	0.054178
round	0.054075
experience	0.0540637
week	0.0539961
history	0.0539191
change	0.0537523
establishment	0.0535308
"first half"	0.0533299
celebration	0.0532021
possibility	0.0531973
effect	0.053105
home	0.0529765
wake	0.0529519
progress	0.0528968
opportunity	0.0527685
"starting point"	0.0527679
March	0.0526845
life	0.0526376
war	0.0522079
collapse	0.051845
aftermath	0.0518283
advance	0.0515125
debut	0.0512656
bottom	0.0512478
trial	0.0511089
scene	0.0510605
arrival	0.0510121
deadline	0.050873
holiday	0.050785
course	0.0506958
eve	0.0505575
inauguration	0.0505174
due	0.0504471
festival	0.0504116
some	0.050242
latest	0.050141
achievement	0.0501192
announcement	0.0500958
future	0.0496052
Monday	0.0494562
loss	0.0493983
way	0.0493734
weekend	0.0493504
standpoint	0.049296
talk	0.0492836
center	0.0492143
"second half"	0.0490464
Thursday	0.0490315
heart	0.049002
Friday	0.0489625
perspective	0.0488955
much	0.0488533
hearing	0.0486707
launching	0.0486093
chance	0.0485598
chapter	0.0485436
attempt	0.0485309
cost	0.0484887
victory	0.0484573
Implementation	0.0483126
Tuesday	0.04826
highlight	0.0482355
top	0.048104
February	0.0481014
climax	0.0480901
memory	0.047938
process	0.0479297
failure	0.047659
past	0.0475664
disaster	0.0475
accomplishment	0.0474618
advent	0.0473696
revolution	0.0473436
term	0.047315
century	0.0472913
sort	0.0472804
quarter	0.0472743
"general election"	0.0471884
worst	0.0470812
reality	0.0470672
decision	0.0470529
setback	0.0470259
creation	0.0469644
convention	0.0469106
resumption	0.0468317
example	0.0467355
effort	0.0466979
"fiscal year"	0.0466899
premiere	0.0465854
symbol	0.0465666
context	0.046504
same	0.0464948
revival	0.0463814
outbreak	0.0463195
midnight	0.046162
today	0.0461538
rest	0.0461184
recession	0.0460386
January	0.0459617
speech	0.0459529
story	0.0459103
performance	0.0459019
fact	0.0458571
challenge	0.0458427
sale	0.0457509
summer	0.0457269
June	0.0456972
trend	0.0456957
request	0.0456159
career	0.0455906
Saturday	0.0455866
impact	0.0454997
tragedy	0.045426
position	0.0453866
campaign	0.0453818
occasion	0.0453738
duration	0.0453634
consequence	0.0453058
situation	0.0452745
accident	0.045207
triumph	0.0451912
broadcast	0.0451461
practice	0.0450881
Wednesday	0.0450549
test	0.0450482
race	0.0450317
form	0.0449784
Spring	0.0447846
appearance	0.0447731
coup	0.0445717
evidence	0.0444939
))
("Begum Khaleda Zia" (desc 2782.87) (sims
"Khaleda Zia"	0.443352
"H.D Deve Gowda"	0.190343
"Tomiichi Murayama"	0.184497
"Fatos Nano"	0.174544
"Vaclav Klaus"	0.173781
"Necmettin Erbakan"	0.17358
"Chavalit Yongchaiyudh"	0.172852
"Sheikh Hasina"	0.169131
"Inder Kumar Gujral"	0.168564
"Deve Gowda"	0.167649
"Benazir Bhutto"	0.164401
"Sher Bahadur Deuba"	0.160486
"Wlodzimierz Cimoszewicz"	0.156869
"Lokendra Bahadur Chand"	0.155521
"Chief Executive Tung Chee-hwa"	0.152245
"Tansu Ciller"	0.150587
"Gulbuddin Hekmatyar"	0.149709
Koirala	0.146472
"Atal Behari Vajpayee"	0.144517
"Vladimir Meciar"	0.143513
"Fayez Tarawneh"	0.142619
"P.V Narasimha Rao"	0.141144
"Yossi Sarid"	0.140049
"Mikulas Dzurinda"	0.138659
"Amien Rais"	0.136059
"Alain Juppe"	0.135721
"Megawati Soekarnoputri"	0.135292
"Romano Prodi"	0.134921
"Mesut Yilmaz"	0.1342
"Pakalitha Mosisili"	0.13301
"Vo Van Kiet"	0.131821
Chand	0.131819
"Chuan Leekpai"	0.131541
"Girija Prasad Koirala"	0.13086
"Prime Minister Kamal El-Ganzouri"	0.12976
"Helen Clark"	0.129355
"Mahmoud Zouebi"	0.129266
"Abdul Karim Kabariti"	0.128359
"Norodom Ranariddh"	0.128259
Hasina	0.127649
"I.K Gujral"	0.126226
"Ryutaro Hashimoto"	0.125658
"Bangladesh Nationalist Party"	0.125223
"Atal Bihari Vajpayee"	0.125081
Zia	0.124518
"Atef Obeid"	0.12428
"Gennady Zyuganov"	0.124044
"Ariel Sharon"	0.122184
"Foday Sankoh"	0.122019
"Milos Zeman"	0.121573
"Tim Fischer"	0.121324
"Xanana Gusmao"	0.121067
"Andreas Papandreou"	0.120532
"Jean Chretien"	0.119788
"Lamberto Dini"	0.117692
"Paul Keating"	0.117599
"John Major"	0.117024
"Krishna Prasad Bhattarai"	0.116887
"Rafik Hariri"	0.116657
"Radu Vasile"	0.114582
"Meles Zenawi"	0.114194
"Hashim Thaci"	0.113745
Bhattarai	0.112955
"Joerg Haider"	0.111927
"Natan Sharansky"	0.111301
"Nawaz Sharif"	0.111185
Awami	0.110886
"Binyamin Netanyahu"	0.109922
"Bashkim Fino"	0.109778
Erbakan	0.109632
"Silvio Berlusconi"	0.109087
"John Howard"	0.108719
"Yevgeny Primakov"	0.108632
Gujral	0.107638
"Jenny Shipley"	0.107291
"Gro Harlem Brundtland"	0.10561
"Costas Simitis"	0.105339
Deuba	0.105079
chairperson	0.104952
"Bertie Ahern"	0.104392
"Bulent Ecevit"	0.104181
Meles	0.103784
"Ibrahim Rugova"	0.103678
Jayakumar	0.102613
el-Ganzouri	0.102589
"Bill Skate"	0.101945
"Vuk Draskovic"	0.101875
"Shimon Peres"	0.101652
"Pascoal Mocumbi"	0.101579
"William Hague"	0.101315
Simitis	0.101293
"George Speight"	0.101025
"Pandeli Majko"	0.100437
Banharn	0.0999865
"Ung Huot"	0.0993575
"Kim Yong Nam"	0.0992839
"Jonas Savimbi"	0.0987413
"Ieng Sary"	0.0986821
Hashimoto	0.0985624
"Awami League"	0.0984077
"Ray Evernham"	0.0982501
"Aryeh Deri"	0.0977777
"John Bruton"	0.0976229
"Antonio Guterres"	0.0973738
"Jose Maria Aznar"	0.0969599
Thapa	0.0969052
"Sonia Gandhi"	0.096769
"Prime Minister Banharn Silpa-Archa"	0.0960556
"Aung San Suu Kyi"	0.0960262
"Richie Phillips"	0.0959727
"Salim Hoss"	0.0957901
"Pervaiz Musharraf"	0.0956362
"Momir Bulatovic"	0.0952547
"Yitzhak Mordechai"	0.0949359
"Oskar Lafontaine"	0.0945474
"Valery Pustovoitenko"	0.0943789
"Rashid Dostum"	0.0942463
"Le Kha Phieu"	0.0933453
"Lionel Jospin"	0.0931492
Wamba	0.0930959
"Phan Van Khai"	0.0928759
"Yoshiro Mori"	0.0926928
Wiranto	0.0926729
"Grigory Yavlinsky"	0.0926483
"Frederick Sumaye"	0.0925704
"Louis Farrakhan"	0.092374
"Wim Kok"	0.0921836
"Johnny Paul Koroma"	0.0916965
"Roosevelt Johnson"	0.0916594
"Noboru Takeshita"	0.0915849
Dehaene	0.0911545
"Viktor Orban"	0.0904977
"Michel Camdessus"	0.0904152
"Seamus Mallon"	0.0901664
"George Mitchell"	0.089731
"David Trimble"	0.089726
"Abdul Salam Majali"	0.0887814
"Jerzy Buzek"	0.0881895
"David Duke"	0.0878173
"Radovan Karadzic"	0.0877391
"Joseph Bruno"	0.0875318
Garang	0.0875258
"Mahathir Mohamad"	0.0874989
Ecevit	0.086884
"Chen Muhua"	0.0864207
"United National Party"	0.0863345
"Ivan Kostov"	0.0862122
Azad	0.0862116
"Mahendra Chaudhry"	0.0860458
Vajpayee	0.0858725
"Vladimir Zhirinovsky"	0.0857543
"Sergei Kiriyenko"	0.0855502
"Lee Kuan Yew"	0.0852561
"Chea Sim"	0.0851293
"Viktor Chernomyrdin"	0.0850774
Majali	0.0848941
al-Bashir	0.0846196
"Nur Misuari"	0.0843915
"Bizima Karaha"	0.0840421
"Shamil Basayev"	0.0836476
"Li Peng"	0.0835178
"Sergei Stepashin"	0.0834254
"Christopher Cox"	0.083327
Phieu	0.0832837
"Hun Sen"	0.0828709
"Goran Persson"	0.0828209
"Howard Baker"	0.0827753
Arrives	0.0821669
"Ali Mahdi Mohamed"	0.0820822
"Victor Chernomyrdin"	0.0816071
BNP	0.0815908
"Ratko Mladic"	0.0815366
"Mikhail Gorbachev"	0.0809708
"Yasser Arafat"	0.0809541
"Saeb Erekat"	0.0807529
"Menachem Begin"	0.080493
"Ayatollah Ali Khamenei"	0.0802926
"David Levy"	0.0802283
Chavalit	0.0799688
"Keizo Obuchi"	0.0798952
"Mikhail Kasyanov"	0.07974
"Gerry Adams"	0.0793733
"Jacques Chirac"	0.0793458
Chuan	0.0792527
Misuari	0.07924
"Chris Patten"	0.0791811
"Benjamin Netanyahu"	0.0788338
"Alexander Lebed"	0.0784291
"Felipe Gonzalez"	0.0783673
"Wolfgang Schaeuble"	0.0783584
"Martin McGuinness"	0.0783106
Rao	0.0781854
"Joschka Fischer"	0.0778879
"Ansumane Mane"	0.0777637
"Rajiv Gandhi"	0.077757
"Kim Jong-pil"	0.0775227
"Abdullah Ahmad Badawi"	0.0774118
Shipley	0.0773178
"Than Shwe"	0.0773027
"President Kim Dae-jung"	0.0772667
))
(behalf (desc 61517.6) (sims
basis	0.095006
"Capitol Hill"	0.0719825
occasion	0.0715746
eve	0.0689626
request	0.0682177
Friday	0.0663437
Wednesday	0.0660941
Monday	0.0660409
Tuesday	0.0655984
Thursday	0.064995
behest	0.0613043
hand	0.0612446
ground	0.0594914
fate	0.0587849
favor	0.0583203
plight	0.0580549
side	0.0580071
urging	0.0554736
matter	0.0540412
ire	0.0530543
wish	0.0529595
supporter	0.0525375
"legal right"	0.0521973
well-being	0.0520082
representative	0.0513961
invitation	0.05112
scale	0.0509483
involvement	0.0490625
Sunday	0.0486283
ability	0.0486115
role	0.0483032
majority	0.0480612
proposal	0.04776
front	0.0477262
Saturday	0.0471217
"June @@"	0.0464454
candidacy	0.0462718
birthday	0.045605
endorsement	0.0456005
anniversary	0.0456002
handful	0.0455601
"December @@, @@@@"	0.04547
willingness	0.0452796
whim	0.0452332
appointment	0.0452214
"December @@"	0.0448106
initiative	0.0447457
web	0.0443723
"February @@"	0.0442951
thousand	0.044185
"July @@"	0.0440262
participation	0.0437175
"January @@"	0.0436577
backing	0.0435103
"April @@"	0.0434648
board	0.0428512
"May @@"	0.0428473
"large number"	0.0428465
Wrath	0.0427791
"August @@"	0.0426719
"Jan @@"	0.042096
attention	0.0418245
status	0.0417897
"one hand"	0.0417603
leadership	0.041667
health	0.0414669
weekends	0.041341
committee	0.0410223
establishment	0.0406818
"September @@"	0.0403715
nomination	0.0402848
))
(behavior (desc 150988) (sims
conduct	0.24236
action	0.160389
attitude	0.153789
violence	0.144821
habit	0.142357
abuse	0.141535
activity	0.140657
act	0.140632
misconduct	0.139211
crime	0.137239
tactic	0.134019
practice	0.130803
behaviour	0.130416
relationship	0.12739
"drug use"	0.124427
failure	0.123552
policy	0.120624
wrongdoing	0.118015
violation	0.117829
sex	0.117535
situation	0.117498
incident	0.116194
use	0.115565
harassment	0.114767
performance	0.113655
decision	0.113089
problem	0.112595
pattern	0.1122
remark	0.112038
misbehavior	0.111296
corruption	0.110922
reaction	0.110152
involvement	0.109434
lack	0.108835
discrimination	0.108745
killing	0.108518
nature	0.108317
quality	0.106939
role	0.106798
life	0.105924
tendency	0.105451
comment	0.105366
"sexual harassment"	0.105252
politics	0.105089
manner	0.10423
attack	0.104008
language	0.104003
ability	0.103261
personality	0.103084
affair	0.102922
trend	0.102691
health	0.10221
lifestyle	0.101363
presence	0.101344
culture	0.10111
condition	0.100418
ethic	0.100361
perception	0.100259
aggression	0.100103
handling	0.0999174
response	0.099839
mistake	0.0993578
scandal	0.0991469
smoking	0.0990257
transgression	0.0990103
style	0.0987147
disorder	0.0983114
"sexual activity"	0.0981162
murder	0.0978818
change	0.0976447
drinking	0.0976323
strategy	0.0975583
racism	0.0972966
fact	0.0972134
experience	0.0962667
Death	0.096151
misdeed	0.0960241
fraud	0.0957605
treatment	0.0957133
illness	0.0950065
brutality	0.0947121
image	0.0939924
development	0.0938985
character	0.0938893
stance	0.0936091
move	0.0932155
skill	0.093169
allegation	0.0930222
emotion	0.0928146
approach	0.0923762
identity	0.0922359
thing	0.0922288
aspect	0.0918188
case	0.0914512
thinking	0.0907369
mood	0.0899568
statement	0.0898834
feeling	0.0895196
content	0.0893609
method	0.0893007
homosexuality	0.0889678
inability	0.0884298
sexuality	0.0882196
outcome	0.0877536
accusation	0.0877381
risk	0.0876828
criticism	0.0876485
movement	0.0876349
success	0.0875367
interaction	0.087297
idea	0.0871864
disease	0.0871211
interference	0.0870924
that	0.0870819
type	0.0870513
suicide	0.0870204
judgment	0.0870005
morality	0.086693
circumstance	0.0865838
discipline	0.0865562
threat	0.0863069
assault	0.0863052
irregularity	0.0860713
diversity	0.0857
safety	0.0856915
disclosure	0.0856412
bias	0.0856162
arrest	0.0853153
refusal	0.0851638
infidelity	0.0850869
history	0.0849219
kind	0.0848002
rhetoric	0.0847778
lapse	0.0847077
weakness	0.0846137
religion	0.084513
desire	0.0844805
law	0.0843772
motive	0.0843198
shooting	0.0843193
tragedy	0.0843139
achievement	0.0842972
issue	0.0842947
participation	0.0842575
terrorism	0.0842352
attempt	0.0841108
stress	0.0840992
atrocity	0.0840501
procedure	0.0840191
philosophy	0.0839803
sin	0.0839616
perjury	0.0836114
conflict	0.0835836
environment	0.0834249
view	0.0834012
belief	0.083381
antic	0.0832336
phenomenon	0.0832122
work	0.0831821
theft	0.0831794
result	0.0831774
claim	0.0831061
symptom	0.0830296
trait	0.082898
manipulation	0.0827757
impact	0.0827282
this	0.082727
"drug abuse"	0.0826466
process	0.0824748
effort	0.0824289
timing	0.0821847
effect	0.0821633
status	0.0821403
need	0.0821211
demeanor	0.0819888
negligence	0.0819808
number	0.081939
Addiction	0.0817945
misuse	0.0817531
responsibility	0.081702
fate	0.0816615
offense	0.0816404
difficulty	0.0813776
anything	0.0813063
value	0.0811999
reality	0.0811953
interest	0.081184
plight	0.081024
vision	0.080764
adultery	0.0807525
thought	0.0807395
influence	0.0807277
choice	0.0807005
education	0.0806736
Obesity	0.0805582
structure	0.0805484
management	0.0804646
delay	0.0801442
rape	0.0801127
finding	0.0798128
))
(behaviour (desc 6825.1) (sims
behavior	0.130416
misbehavior	0.0718928
transgression	0.0697062
misconduct	0.0627975
misdeed	0.0627923
"drug use"	0.0592509
hooliganism	0.0569937
laxity	0.0554324
lifestyles	0.0552525
"sexual activity"	0.0542492
"life style"	0.0519125
"choice of words"	0.0519102
wrongdoing	0.0510622
mindset	0.0505677
indiscretion	0.0491407
intolerance	0.0482667
mistreatment	0.0473872
irresponsibility	0.0473568
grammar	0.0469446
impulse	0.0465834
courting	0.0465609
phenomena	0.0461293
immorality	0.046
brutality	0.0454825
indifference	0.0452936
mind-set	0.0451784
"medical practice"	0.0450985
infidelity	0.0446743
lifestyle	0.0445852
tendency	0.0445416
negligence	0.0443892
lawlessness	0.0443492
brinkmanship	0.0440453
impropriety	0.043622
malpractice	0.0431358
acts	0.0429789
ideology	0.0429474
"human activity"	0.0427175
posture	0.042699
dalliance	0.0424896
exploitation	0.0424882
aggressiveness	0.042409
slur	0.0423122
"economic policy"	0.0420336
antic	0.0420026
permissiveness	0.0417497
deception	0.0416765
mentality	0.0416654
singularity	0.0415425
homosexuality	0.0415009
inconvenience	0.041361
harassment	0.0412694
metabolism	0.0412689
"sexual harassment"	0.0411935
spacing	0.0411727
"hanky panky"	0.0410609
"double standard"	0.0410216
incompetence	0.0409617
vowel	0.0408033
liveliness	0.0407221
refereeing	0.0406842
dishonesty	0.0402652
miscommunication	0.0401296
bookkeeping	0.0400422
psychology	0.0400154
))
(beheading (desc 2451.11) (sims
decapitation	0.161023
flogging	0.0768581
slaying	0.074496
"drive-by shooting"	0.0580796
"margin call"	0.0564078
abduction	0.0562654
"coup attempt"	0.0539591
mutilation	0.0524321
"violent death"	0.0522969
temblor	0.0500842
"Ken Saro-Wiwa"	0.0498989
symposia	0.0496043
"Earth Day"	0.0492598
holdup	0.0492354
mainlanders	0.0489058
"drug case"	0.0487864
"Johnny Depp"	0.0479652
torching	0.0459446
amputation	0.0454767
Crucifixion	0.0453839
"earnings disappointment"	0.0439742
Stabbing	0.043764
"race riot"	0.0429591
stabbings	0.0425486
"Hurricane Hugo"	0.0422919
"enforcement action"	0.0422132
"West Java"	0.041977
dustup	0.0417808
Yogyakarta	0.0413305
strangulation	0.0413083
"fatal accident"	0.0407325
"space walk"	0.0402704
))
(behemoth (desc 17166.5) (sims
giant	0.11531
powerhouse	0.0914612
Colossus	0.0805076
conglomerate	0.0779032
leviathan	0.0725076
titan	0.0658854
"banking company"	0.0652053
monolith	0.0644728
startup	0.063558
empire	0.0631276
"consulting company"	0.0628217
heavyweight	0.0625
juggernaut	0.0614783
corporation	0.0603475
upstart	0.0595675
"holding company"	0.0593513
entity	0.0581205
Portal	0.0562787
provider	0.0559404
edifice	0.0552116
retailer	0.0547558
beast	0.0544083
gorilla	0.052753
chain	0.0515194
superstore	0.0512937
monopoly	0.0512272
execs	0.0508523
competitor	0.0507682
hub	0.0501372
mogul	0.0499499
"consulting firm"	0.0497874
"software maker"	0.0496382
laggard	0.0494552
multinationals	0.0493445
"trade publication"	0.0488433
monster	0.0488215
extravaganza	0.0484543
"investment trust"	0.0482968
superpower	0.0477892
contraption	0.0477659
"business unit"	0.0476385
Pioneer	0.0476353
Dinosaur	0.0474569
"heavy hitter"	0.0474437
"trade association"	0.0474159
creature	0.0469684
greats	0.046546
bigwig	0.0461881
brokerage	0.0459062
"Baby Bells"	0.0455604
Goliath	0.0454066
"investment fund"	0.0453215
"phone company"	0.0452359
carrier	0.0449091
supplier	0.0446915
consortium	0.0444149
shakeout	0.0440238
utility	0.0438812
consultancy	0.0438672
"joint venture"	0.043402
"publishing company"	0.0433898
marketplace	0.0433019
"success story"	0.043117
niche	0.0430669
SUVs	0.0430455
consortia	0.0426612
innovator	0.0426413
Robot	0.0425035
insurer	0.042213
wunderkind	0.0421342
Sedan	0.0420966
subsidiary	0.0420064
"cable operator"	0.0418615
"software package"	0.0417669
"brokerage firm"	0.0416953
"Baby Bell"	0.0416208
hybrid	0.0415483
icon	0.0414307
Tower	0.0413428
blockbuster	0.0412219
gadget	0.0410113
rig	0.0408578
luminary	0.0406435
"financial institution"	0.0406424
"telephone company"	0.04012
"business line"	0.0400303
))
(behest (desc 13559.8) (sims
urging	0.189757
instigation	0.0849083
insistence	0.065363
behalf	0.0613043
whim	0.051978
ire	0.0489847
Wrath	0.0479547
urgings	0.0456384
assent	0.0452981
chagrin	0.0443108
reluctance	0.0437037
prodding	0.042992
earliest	0.0428687
roomful	0.0422298
intercession	0.0418818
))
(Behind-the-scenes (desc 7072.38) (sims
backroom	0.248826
high-stakes	0.140721
nuts-and-bolts	0.108339
U.S.-Russian	0.096724
Arab-Israeli	0.0963335
hands-on	0.0901068
grassroot	0.0824244
one-hour	0.0820525
eleventh-hour	0.0799971
hourlong	0.0773477
Oedipal	0.0739384
four-hour	0.0736757
Palestinian-Israeli	0.0731488
Israeli-Palestinian	0.0722218
public-relations	0.0716193
hardball	0.0701658
inter-Arab	0.0701489
defining	0.0701468
three-hour	0.0697415
decadelong	0.0695775
deadend	0.0691504
Israeli-Syrian	0.0686007
interagency	0.0673722
backdoor	0.0662285
simmering	0.0659128
Israeli-Arab	0.0656526
pregame	0.0654916
nitty-gritty	0.064377
high-profile	0.0642679
House-Senate	0.0634954
revisionist	0.063384
five-hour	0.0631736
boardroom	0.0627819
transformative	0.0626186
two-hour	0.0624733
"big picture"	0.0615494
"tit for tat"	0.0615249
fast-track	0.0601066
three-week	0.059947
soul-searching	0.0590599
"breaking off"	0.0589507
one-to-one	0.0587108
O'Connor's	0.0584282
fulltime	0.0577741
closeup	0.0576212
multimedia	0.0573026
"Kung Fu"	0.0566313
nine-hour	0.0563498
collaborative	0.0562089
Russian-U.S.	0.056173
INDIA-PAKISTAN	0.0560412
round-the-clock	0.0555671
"real life"	0.0554048
"this @@@@"	0.0552994
cross-Straits	0.0551773
Porno	0.0549663
two-week	0.0548889
up-and-down	0.0547769
scattershot	0.0537292
on-and-off	0.0536125
personalization	0.0534542
seven-hour	0.053226
overlong	0.0532021
U.S.-Japan	0.0528729
storybook	0.0528667
Clinton-Lewinsky	0.0524699
gimmicky	0.0523376
"A few key"	0.0520334
as-yet	0.0518279
six-hour	0.0517123
downbeat	0.0515539
inter-Korean	0.0512724
Balkan	0.0508577
"matinee idol"	0.0507903
FTAA	0.050146
after-hours	0.0500813
lastest	0.0497318
stealth	0.0495742
minimalist	0.0493433
take-no-prisoners	0.049126
"cost cutting"	0.0489832
unfolding	0.0489809
Dickensian	0.0489288
Syrian-Israeli	0.0489035
O'Brien's	0.0488353
primetime	0.0484868
thumbnail	0.0482979
"Three key"	0.0481208
Holyfield-Lewis	0.0479753
Sino-British	0.0477851
martial-arts	0.0476503
special-teams	0.0475055
unionization	0.0472063
"Agenda @@@@"	0.0470923
helluva	0.0470222
"water cooler"	0.046841
final-status	0.046789
five-month	0.0467297
north-south	0.0465646
"show biz"	0.0465601
four-minute	0.0463506
Anglo-American	0.0463118
U.S.-China	0.0462848
absurdist	0.0462057
"Old Testament"	0.0461703
oddball	0.0460214
forklift	0.0458738
"One key"	0.0457557
PR	0.0456791
savvy	0.0455932
contrarian	0.0453624
five-minute	0.0453291
"South Asian"	0.0452888
proactive	0.0451742
Asia-Europe	0.0450119
CGI	0.0448488
"Earth Day"	0.0448358
Usenet	0.0448345
small-business	0.0447807
"science fiction"	0.0446796
four-month	0.0443682
two-decade	0.0443417
"big time"	0.0443166
"ivory tower"	0.0441712
"investment banking"	0.0438195
Mideast	0.0436691
"penny stock"	0.0436617
eight-month	0.0435166
wartime	0.0434899
postgame	0.0434876
Quicktime	0.0434718
cartoonish	0.0433844
gangland	0.0432055
WOODWARD's	0.0431688
"two key"	0.0431024
deathbed	0.0429002
sub-regional	0.0428968
horse-trading	0.0428755
half-hour	0.0428613
seven-month	0.0428354
gridiron	0.0426663
"smart aleck"	0.0421271
frontpage	0.0420158
weeklong	0.0418823
mounting	0.0418319
"Middle Eastern"	0.0416734
streetwise	0.0416374
frontline	0.0416153
nominating	0.0415994
newsreel	0.0415871
"Jekyll and Hyde"	0.0415112
six-week	0.0412101
"number crunching"	0.0411347
"back office"	0.0411003
superhero	0.0409312
audio	0.0408539
Robbins	0.0408356
"four key"	0.0406952
bargaining	0.0406327
protectionist	0.0405903
O'Neal's	0.0404766
made-for-TV	0.0403816
Goliath	0.040137
noir	0.0401354
retro	0.0400164
two-month	0.0400154
))
(behinds (desc 1039.07) (sims
posterior	0.140112
"Bengal tiger"	0.0683551
ass	0.0668396
"rear end"	0.0664154
rump	0.0613126
"over @@.@ percent"	0.0569838
louver	0.0546217
bleep	0.0507719
fanny	0.0507453
tails	0.0505825
Houdini	0.0501334
"purchase contract"	0.0496763
backside	0.0491832
"Terrence Long"	0.0487086
vaulter	0.0480312
accoutrement	0.0477163
McCown	0.0474236
"pants suit"	0.0471904
"extra points"	0.0469276
"Ryder Cups"	0.0468056
"piggy bank"	0.0467088
"clenched fist"	0.0457157
"Mary Slaney"	0.0456827
paintbrush	0.0455968
"Manny Fernandez"	0.0453132
postseasons	0.0452549
Americanized	0.0451225
hopefulness	0.0450686
"Ziggy Palffy"	0.0444433
fixer	0.0443557
genital	0.0440781
nightstick	0.0437617
lattes	0.0436438
"over $@@@"	0.0433461
wattage	0.0432674
pronoun	0.0431137
molar	0.0430371
"British Opens"	0.0429785
Polgar	0.0424082
noggin	0.042382
Grbac	0.0423544
peregrine	0.0419224
"six furlongs"	0.0418194
"little finger"	0.041681
"camp site"	0.0416796
nostril	0.0411476
"beach ball"	0.0410902
monogram	0.040821
"Stanley Cups"	0.0407913
brinksmanship	0.0406946
"fishing license"	0.0404356
baby-boomers	0.0404194
"Balkan Wars"	0.040257
))
(Behr (desc 921.504) (sims
Sobel	0.111314
Rubenstein	0.108281
Ruggiero	0.107171
Kelleher	0.105747
Weil	0.104363
Nickerson	0.0987413
Hickman	0.0977599
Hybl	0.0934541
Finkel	0.0930193
Iglesias	0.0917507
Talebi	0.0913714
Larson	0.090441
Shamshad	0.090431
Simons	0.0902883
Krugman	0.0902148
Weisman	0.0883518
Atler	0.0882079
Leibovitz	0.0861419
Cowan	0.0860959
Rau	0.084304
Kasoulides	0.0836184
Setzer	0.0829826
Gibbons	0.0828703
Piot	0.082651
Knievel	0.0825091
Midler	0.0822414
Brandt	0.0819674
Fleischer	0.0808377
"Tom Johnson"	0.0799069
Butterworth	0.079795
Zwick	0.0793866
Gullikson	0.0791459
Gaston	0.0789085
"Jack Valenti"	0.0783252
Hanley	0.0777367
Hahn	0.0777316
Bartley	0.0776755
COYNE	0.0774498
Knox	0.0772594
Gerstner	0.0772304
Erwin	0.0769185
Pollack	0.076778
Reiner	0.0767611
Samuelson	0.076499
Ikimi	0.0762958
Ness	0.0758276
Grossman	0.0756289
Espinosa	0.0754967
Meyers	0.0754501
Duffy	0.0753156
O'Neil	0.0751596
Segal	0.0751481
Weiner	0.0748927
Dillon	0.0747683
craven	0.0743493
Auerbach	0.0740077
Durant	0.0738489
D'Alessandro	0.0734912
Osborne	0.0734244
Prewitt	0.0720633
Mustafa	0.0718114
McNamara	0.0716318
Bartlett	0.0716158
McPherson	0.0715924
Zeng	0.0714988
Morse	0.0714034
"De la Cruz"	0.071342
McIntyre	0.0711661
lacy	0.0711225
Vogel	0.0710266
Fernandes	0.0710053
Bloch	0.070668
Moser	0.0706083
Lessig	0.0704002
Rollins	0.070295
Coen	0.0702564
Bronson	0.0702056
Bergeron	0.0700642
TALBOT	0.0698864
Easley	0.0698622
Aurelio	0.0698302
Jovanovic	0.0698164
Margolis	0.0698086
Sund	0.0694092
DiCicco	0.0688893
Weinberg	0.0687071
Strauss-Kahn	0.0686142
Jaffe	0.0683124
Tanaka	0.0679967
Barron	0.0679963
Azad	0.0671686
Flockhart	0.0671529
McGuire	0.0669794
Duvall	0.066911
Soto	0.0667868
Cahill	0.0667815
Atwood	0.0667645
Silverstein	0.0665775
Zucker	0.0665146
Poole	0.0663035
Sampson	0.0659709
Siegel	0.0654689
Ulrich	0.0654612
Tanui	0.0652639
Singson	0.0652529
McLachlan	0.0650309
Kaye	0.0649699
Zuckerman	0.0648694
Raitt	0.0644369
Mahoney	0.0643645
Rosenthal	0.0642543
Wenger	0.0640651
Rutherford	0.0640631
Gutman	0.0637242
Loeb	0.063696
burrows	0.0636516
"McCaughey Ross"	0.0633223
Tomey	0.0632036
Gomes	0.0627466
Rendell	0.0624753
Soong	0.0624657
Shoate	0.0624398
Wolff	0.062242
Deutsch	0.0622321
Ruehe	0.0614906
Kahn	0.0614834
Epstein	0.0614572
McKenna	0.0608415
Rosenberg	0.0607544
Morceli	0.0607441
Icahn	0.0606811
Longo	0.0600669
Culpepper	0.0600498
Brownlee	0.0598242
Levine	0.0596937
Haynes	0.0595209
Winkler	0.0592599
Zuma	0.0589247
Aoki	0.0588469
Pugh	0.0586203
Newcombe	0.0586199
Watters	0.0583471
Barlow	0.0581059
Healy	0.058005
Whipple	0.0578667
Dempsey	0.0577702
Jayakumar	0.0577701
"David Jones"	0.0577261
McLaughlin	0.0576982
Dickinson	0.0576668
"Richard Riley"	0.0575809
Connell	0.0575603
McEwan	0.057515
Cornish	0.0574641
Szabo	0.0574633
estes	0.0573769
Grimes	0.0572589
Carney	0.0572537
Keller	0.0572472
"Brian Cashman"	0.0569597
Tapia	0.056825
Hester	0.0563182
Knowles	0.056082
Billick	0.0559985
Roland	0.0559497
JONAS	0.0558079
Hatcher	0.0557845
Esrey	0.055758
Boueiz	0.0557343
Bowles	0.0557208
Medvedev	0.0556887
Malu	0.055531
McManus	0.0555108
Nugent	0.0554321
Sheedy	0.0553542
Dion	0.0553301
Loroupe	0.0553121
Pearson	0.0550583
Schwartz	0.0549745
Sinden	0.0549341
Messina	0.0549011
Figgis	0.0548363
Ozersky	0.0548317
"de Charette"	0.0548105
Ferrer	0.0548086
Kagwe	0.0546859
Copeland	0.0546799
Braun	0.0546743
Hartwig	0.0546333
Sasser	0.0545095
Jacobsen	0.0544295
Flanagan	0.0543724
Tarantino	0.0542946
Cummings	0.0542278
Feng	0.0539538
Hanna	0.053924
Shaath	0.0539113
Macdonald	0.0538782
Katzenberg	0.0536807
Soyinka	0.0536023
))
(Behrens (desc 5695.06) (sims
"Skip Away"	0.220867
"Free House"	0.218988
Daylami	0.204557
Menifee	0.198497
"Silver Charm"	0.195589
"Real Quiet"	0.185297
"Cat Thief"	0.180504
Malek	0.177228
"Red Bullet"	0.17704
"Worldly Manner"	0.173004
"Victory Gallop"	0.171043
Chilukki	0.170863
"Favorite Trick"	0.170301
"Desert Hero"	0.170058
"Lemon Drop Kid"	0.166604
"River Keen"	0.165034
Silverbulletday	0.161647
"Banshee Breeze"	0.158785
"Prime Timber"	0.158256
charismatic	0.157721
"Puerto Madero"	0.157547
"Running Stag"	0.151881
Adonis	0.146135
"Excellent Meeting"	0.144502
"Answer Lively"	0.143734
Artax	0.142892
"High Yield"	0.140825
"Fusaichi Pegasus"	0.140027
"Touch Gold"	0.137118
Anees	0.133725
Wondertross	0.130612
"Ecton Park"	0.13047
"Forest Camp"	0.122616
Valhol	0.11991
"A.P Indy"	0.119474
"Stephen Got Even"	0.119301
gentlemen	0.118147
"Beautiful Pleasure"	0.115347
"Awesome Again"	0.114711
Budroyale	0.110222
"War Chant"	0.107211
vicar	0.105922
"Cash Run"	0.105346
Trippi	0.0944771
aptitude	0.0932141
"Kimberlite Pipe"	0.0912559
Longo	0.0884682
colt	0.0877398
"Kent Desormeaux"	0.0872766
Surfside	0.0872527
thoroughbred	0.0833536
filly	0.0824113
"Old Trieste"	0.0800527
Alydar	0.0792526
Kelso	0.0784964
"Miguel Indurain"	0.0776709
"Seattle Slew"	0.0770831
Sainz	0.0760734
Arazi	0.0758905
"Earnhardt Jr."	0.0718903
Devers	0.0714847
Kafelnikov	0.07104
"Annika Sorenstam"	0.0707877
Nicol	0.0703361
Tanui	0.0701961
Sautin	0.067606
racehorse	0.0663982
"Lasse Kjus"	0.0657408
"Kentucky Derby"	0.0655677
Pantani	0.0652209
mare	0.0645518
"Winning Colors"	0.0640083
"straight man"	0.0636662
Pegasus	0.0622833
Appleby	0.062038
"Koji Ito"	0.0619537
Hentgen	0.0617049
Meissnitzer	0.0616958
Kuerten	0.061485
Kjus	0.0614743
gelding	0.0611628
"Arie Luyendyk"	0.0610878
"Regina Jacobs"	0.0610568
"blue devil"	0.0605126
Baffert	0.0604911
"Bobby Labonte"	0.0603509
Halard-Decugis	0.0600078
Jalabert	0.0598675
Cipollini	0.0587555
"Wang Nan"	0.0566412
"Marco Pantani"	0.056591
"Jerry Bailey"	0.0564281
Klim	0.0563695
"Thunder Gulch"	0.0560605
Cornhusker	0.0559601
gamecock	0.0559179
Mantilla	0.055902
Capriati	0.055583
Corretja	0.0554897
"quarter horse"	0.0553171
Zanardi	0.0551014
"Maurice Greene"	0.0550865
"Yang Yang"	0.0549667
"Bob Baffert"	0.0545359
Unser	0.0544704
Yagudin	0.0544065
Huber	0.0543355
Testud	0.0543218
"race horse"	0.0543013
"Ma Lin"	0.0538864
Enqvist	0.0537084
"two pitchers"	0.0536502
"Isolde Kostner"	0.0534045
"Maria Butyrskaya"	0.0533451
"Boris Becker"	0.0532143
"Marcelo Rios"	0.0529408
"Sergi Bruguera"	0.0528152
Berasategui	0.0527396
Millar	0.0526477
Jarrett	0.0526158
"Roger Federer"	0.0526098
Ulihrach	0.0524979
"Eddie Cheever"	0.0524046
"Alexandra Meissnitzer"	0.0523568
"D. Wayne Lukas"	0.0523076
Kwan	0.0523034
Maier	0.0522774
Zabel	0.0522437
"Deon Hemmings"	0.0521911
Pavel	0.0521349
Affirmed	0.0521167
Krajicek	0.0520244
Samuelson	0.0519995
Boilermakers	0.0519798
Ullrich	0.0519696
"Lindsay Davenport"	0.0517014
Capel	0.051619
Sorenstam	0.0514582
"Thomas Muster"	0.0513639
niner	0.0513583
wildcat	0.0513278
"Nicole Pratt"	0.0513052
Olano	0.0511791
"Gail Devers"	0.0511668
Moehler	0.0511334
Aamodt	0.0511274
Nateq-Nouri	0.0510556
"Meg Mallon"	0.0510505
"Hale Irwin"	0.0510364
"Thomas Enqvist"	0.0509431
Chebet	0.0508384
"Steffi Graf"	0.0507511
Lennox	0.0505828
"Mark Martin"	0.0505439
O'Meara	0.0505369
"Ron Dayne"	0.050277
"Juan Montoya"	0.0502631
"Yevgeny Kafelnikov"	0.0500791
"American Chanda Rubin"	0.0500241
Eliza	0.0499079
"Baltimore Colts"	0.0498625
Agassi	0.0498026
Seminoles	0.0497747
"Chris Boardman"	0.0496538
"Bjarne Riis"	0.0495681
"Ai Sugiyama"	0.0495606
Neumann	0.0495131
Boardman	0.0494953
"Cathy Freeman"	0.0494346
"Christine Arron"	0.0494138
Utes	0.0493028
"Dale Jarrett"	0.0492597
trotter	0.0492414
Moya	0.0492324
"Michael Andretti"	0.0491936
"Thomas Stangassinger"	0.0491657
Ivanisevic	0.0491656
"Cara Black"	0.049063
Kenseth	0.04903
Franchitti	0.0488806
"Martina Hingis"	0.0486287
Loroupe	0.0485809
Sampras	0.0484987
Fong	0.0483671
"Li Xuemei"	0.048239
"Arnaud Di Pasquale"	0.0482341
"David Duval"	0.0482117
Luyendyk	0.0481662
"Fred Couples"	0.0481491
grindstone	0.0481203
Jayhawks	0.0481082
Redskin	0.0480596
Hendrawan	0.0479065
Earnhardt	0.0478933
"Red Star"	0.047869
Kucera	0.0476977
"Phenix City"	0.0476614
Woodson	0.0474905
Safin	0.047348
Morceli	0.0472285
))
("Beibu Gulf" (desc 1310.7) (sims
"Bohai Sea"	0.156863
"Bohai Bay"	0.15381
"Hainan Island"	0.142794
"continental shelf"	0.134731
"Taihu Lake"	0.116797
"Lijiang River"	0.115267
"Yangtze River Delta"	0.10744
"Niger Delta"	0.106937
Rhine	0.105957
Tarim	0.104226
Liuzhou	0.102913
"Pearl River"	0.101087
"Mekong River"	0.101083
"Caspian Sea"	0.100149
"Pearl River Delta"	0.0945164
Brcko	0.0921518
Mekong	0.0876678
"Tarim Basin"	0.086361
"Black Sea"	0.0847967
"South China Sea"	0.0847933
"Connecticut River"	0.082287
"Huaihe River"	0.0812638
"Qaidam Basin"	0.080314
Ganges	0.0797738
"Nenjiang River"	0.0786922
Caspian	0.0784312
"Baltic Sea"	0.0780162
Turpan	0.0769002
Beihai	0.0755281
"Puget Sound"	0.0753491
"boundary line"	0.0743859
Vlore	0.0739217
ZHOUSHAN	0.0731987
"Fort Worth-Dallas"	0.0703001
Trincomalee	0.0697892
"West Lake"	0.0685936
"Columbia River"	0.0658535
Decani	0.06467
"Dongting Lake"	0.0645707
"Red River"	0.0643543
CHT	0.0642593
"North Island"	0.0637731
Durres	0.0637034
Danube	0.063452
Potomac	0.0634035
"five key"	0.0630404
macro-economy	0.0629012
"East China Sea"	0.0627237
LoC	0.0626488
"Gorges Dam"	0.0625219
Mtwara	0.0623729
Batticaloa	0.0622374
"Big Sur"	0.0622078
FTAA	0.0621515
Guilin	0.0619525
"Golden Triangle"	0.0618384
"Congo River"	0.0617311
Zhongguancun	0.0608881
Caprivi	0.0606003
Bekaa	0.0605035
Aegean	0.0604343
Seine	0.0601169
Mullaitivu	0.0598974
"territorial water"	0.0598549
"Missouri River"	0.059523
Assab	0.0593767
"Red Sea"	0.0587468
"Western Pacific"	0.0586335
"Lake Tanganyika"	0.0584113
Borneo	0.0580773
mangrove	0.0574907
Galilee	0.0568633
"Mount Lebanon"	0.0559969
"Mississippi River"	0.0557868
Jenin	0.0555329
"Abu Dis"	0.0554032
Rubicon	0.0546134
Murmansk	0.0539806
Salonica	0.053919
"Three key"	0.0536632
multi-ethnic	0.0534763
Drenica	0.0533701
"Black Sea Fleet"	0.0531757
Kenema	0.0528553
IDD	0.0526818
Qufu	0.052604
"four key"	0.0525494
Badme	0.0525247
Nile	0.0524894
disbarment	0.0523814
Zhanjiang	0.0522184
Haifa	0.0519166
Marjayoun	0.0517509
"Lake Victoria"	0.0515277
"Equatorial Guinea"	0.0511493
Chattahoochee	0.0510558
"Aegean Sea"	0.0510558
"Dead Sea"	0.0509748
"Lake Erie"	0.0508642
"Yangtze River Valley"	0.0506202
"labor resource"	0.0506087
"Songhua River"	0.0502693
Zhangjiakou	0.0501292
Qomolangma	0.0498508
Kono	0.0498048
"Exposition Park"	0.0496287
SDB	0.0494726
overpopulation	0.0494424
"Yucatan Peninsula"	0.049384
Nagorno-Karabakh	0.0491659
Zhangbei	0.0490434
"Suzhou Industrial Park"	0.049043
Gisenyi	0.0490173
opprobrium	0.0489095
"San Francisco Bay"	0.048874
Petersburg	0.0487582
"environmental condition"	0.0486397
estuary	0.0486261
sq.km	0.0485003
"South Atlantic"	0.0484207
Sevastopol	0.048418
Kargil	0.0482114
"Lake Tahoe"	0.0481294
"Suva Reka"	0.0479634
"Far Eastern"	0.0479552
Golcuk	0.0478976
"Pudong International Airport"	0.0478303
"Colorado River"	0.0477901
"old growth"	0.0476322
"personal business"	0.0475917
Thames	0.0475608
"price cutting"	0.0475245
laid-offs	0.0473351
Posoltega	0.047265
"Suez Canal"	0.0471982
"Black Hills"	0.0471244
"Silk Road"	0.0469644
Nabatiyeh	0.0468391
"Haihe River"	0.0466899
"Indian Ocean"	0.0465631
Lijiang	0.0463315
"Temple Mount"	0.0463124
Wenzhou	0.0461403
Podujevo	0.0461017
Khabarovsk	0.0460574
"acid rain"	0.0459571
Alsace	0.0459202
Bund	0.0458918
Kagera	0.0457184
Uvira	0.0450825
"river basin"	0.0450257
"national capital"	0.0447919
Songhua	0.0446259
Rhone	0.0445843
"juvenile delinquency"	0.0445795
"Heilongjiang Province"	0.0445626
Inchon	0.0444737
Northland	0.0443922
Rafah	0.0443079
Sihanoukville	0.0442387
"Danube River"	0.0442155
"coca crop"	0.0440507
"Panama Canal"	0.0440487
Bengal	0.0439767
Euphrates	0.0439618
"landscape painting"	0.0439134
"Lake Michigan"	0.0438846
Ensenada	0.0438009
hardest-hit	0.0437566
"Southern Province"	0.0437216
Bakassi	0.0435035
"Liaohe River"	0.0433904
"Huangpu River"	0.0433815
Puglia	0.043374
"insurance market"	0.0433393
"Nile River"	0.0432883
Piraeus	0.0432442
"A few key"	0.0431004
Paranthan	0.0430302
"soil erosion"	0.0430114
"Gorges Project"	0.0429454
"Rocky Mountain"	0.0427552
Piedmont	0.042704
"Shenzhen Special Economic Zone"	0.0426891
"Miami Valley"	0.0426366
"North Atlantic"	0.0426327
"three schools"	0.0426259
savanna	0.0424627
Zhangjiagang	0.0423877
"Hudson Valley"	0.0423037
"cultivated land"	0.0421865
"liquidity problem"	0.0421283
Tahoe	0.0416584
"East Bay"	0.0415986
Kilimanjaro	0.0413515
"Georges Bank"	0.0413239
"garbage disposal"	0.0413082
Novosibirsk	0.0412014
bathing	0.0411902
Tangshan	0.0408583
))
(Beida (desc 1828.41) (sims
"Peking University"	0.135191
"Beijing University"	0.13081
"University of Wyoming"	0.0913542
"University of Zimbabwe"	0.0769374
"Michigan State University"	0.0749742
"Hunter College"	0.074534
"Queens College"	0.0740987
"University of Kentucky"	0.0734453
"Indiana University"	0.0713799
Antioch	0.0713206
UNAM	0.0695186
UGA	0.0651037
"Heritage High School"	0.0643073
"Tehran University"	0.063261
UT	0.0623436
"Rutgers University"	0.0622209
Wellesley	0.0616539
"Seton Hall University"	0.0614358
"Cambridge University"	0.060304
"city university"	0.0596447
Juilliard	0.0595794
NYU	0.0590969
"University of Houston"	0.0582325
"Kennedy School"	0.0579513
"Dartmouth College"	0.0575034
"Brown University"	0.0568806
"Columbine High"	0.0564526
"Iowa State University"	0.0564191
conservatory	0.055619
seminary	0.0555968
"Brigham Young University"	0.0553223
Vassar	0.0553072
"Georgetown University"	0.0550492
"Rice University"	0.0547714
"Harvard College"	0.0543634
"UC Berkeley"	0.0541495
"Georgia State University"	0.054119
"air force academy"	0.0537384
"Syracuse University"	0.0534377
Unh	0.053179
elan	0.052983
"Qinghua University"	0.0519437
"Yale Law School"	0.0519368
"Kent State"	0.0517893
"Howard University"	0.051684
Krakow	0.0515577
"vocational school"	0.0514827
"U.S. Naval Academy"	0.0511703
"Central High School"	0.0509627
"University of New Hampshire"	0.050824
Aggie	0.0505846
"Cornell University"	0.0505081
Dartmouth	0.0498099
Tanglewood	0.0496304
UMass	0.0491652
"Williams College"	0.0490621
"Emory University"	0.0488007
"Nankai University"	0.0485683
"Louisiana State University"	0.0477507
"Seton Hall"	0.0477396
"Northeastern University"	0.0476421
"University of Kansas"	0.0474379
"Public School @@"	0.0471281
"University of Maryland"	0.0469029
Luoyang	0.0467797
"junior high school"	0.0464905
"Vanderbilt University"	0.0463374
"Purdue University"	0.0462451
Dunhuang	0.0462195
"Wharton School"	0.0460651
"business school"	0.0457919
Emory	0.0455237
Panzhihua	0.0453046
Elf-Aquitaine	0.045124
"Nanjing University"	0.0450897
"Temple University"	0.0450419
"Zhejiang University"	0.0448343
KKK	0.0447052
"Harvard Law School"	0.0446818
"University of Florida"	0.0446541
"Trinity College"	0.0445228
Sorbonne	0.0443278
"Tufts University"	0.044121
"North Carolina State University"	0.0437865
"Orthodox Jewish"	0.0432478
"Washington University"	0.0430951
MGH	0.0428963
"Colorado State University"	0.0428545
"Harvard Business School"	0.0425932
Qinghua	0.0423838
"San Francisco State University"	0.0420868
Barnard	0.0418249
"Asian American"	0.041785
Treen	0.0417481
"University of Illinois"	0.0417195
"Juilliard School"	0.0416944
"Northwestern University"	0.0415038
Golmud	0.0413969
"Hebrew University"	0.0413572
"Lawrence Livermore"	0.0411201
"Arizona State University"	0.0409048
Pu	0.0408091
"City College"	0.0406568
))
(Beidaihe (desc 2048.84) (sims
Phuket	0.147564
Eilat	0.136755
Antalya	0.136114
Davos	0.131725
el-Sheikh	0.128249
Sochi	0.123656
Sipadan	0.110081
Qinhuangdao	0.10741
"Puerto Vallarta"	0.106735
Pattaya	0.10656
"Victoria Falls"	0.104808
Wildwood	0.103779
CANCUN	0.102993
Cavalese	0.0995533
Ensenada	0.0970755
"ALMA ATA"	0.0962051
Alma-Ata	0.0951179
Ashkhabad	0.0944355
Taba	0.0942345
Cochabamba	0.0927563
Blackpool	0.0907546
Aqaba	0.090649
"Myrtle Beach"	0.0903367
Subic	0.0884442
Chamonix	0.0879753
Hefei	0.087882
Zhangbei	0.0865179
"PETALING JAYA"	0.0858148
CHANGCHUN	0.0848574
"Hilton Head"	0.0814437
"SANTAFE DE BOGOTA"	0.080433
Jinja	0.0800674
Shijiazhuang	0.0792882
BRASILIA	0.0790892
Larnaca	0.0782549
Batticaloa	0.077853
"Montego Bay"	0.0777777
Baoding	0.0774227
"Ulan Bator"	0.0759061
BRIGHTON	0.0753002
Acapulco	0.0751376
Sihanoukville	0.0749215
Sirte	0.0748414
MONTEVIDEO	0.0746057
Dalian	0.0745967
TUNIS	0.0744945
Sanya	0.0742415
Nago	0.0739801
Zhengzhou	0.0739757
Kailahun	0.0739371
Catania	0.0737313
Taiyuan	0.0737186
Yichang	0.0734701
Cartagena	0.0726554
Bishkek	0.0716374
Chengde	0.0714132
CARACAS	0.0707276
este	0.0706073
Luxor	0.0703876
Yaounde	0.0699568
"CHIANG MAI"	0.0699155
Kandy	0.0695961
"Sun Valley"	0.0692942
Bazar	0.0689385
Windhoek	0.0686904
"Nigerian capital"	0.0681497
Eindhoven	0.0681366
Ismailia	0.0670664
Jeddah	0.0670243
"Abu Dhabi"	0.0669985
XI'AN	0.0668633
Banff	0.0666732
Jiujiang	0.0664056
Palma	0.0661942
Nanchang	0.0655757
Lanzhou	0.0648031
Urumqi	0.064579
Ramallah	0.064543
Guilin	0.0643968
"Malaysian capital"	0.0638658
Zhangjiajie	0.0633189
Almaty	0.0629886
Zhongnanhai	0.0629065
"Bandar Seri Begawan"	0.0628944
Vientiane	0.0625141
BRATISLAVA	0.0622979
Bamako	0.0617289
Jalalabad	0.0615257
Izmit	0.0611691
Suzhou	0.0600485
MANAMA	0.0598885
Helsinki	0.0595146
Vail	0.0594019
Zakopane	0.0587887
Ouagadougou	0.0585257
"Egyptian capital"	0.0584427
Salzburg	0.0580663
BUDAPEST	0.0580064
Batam	0.0579411
Haikou	0.0577982
Plata	0.0576088
Nemtsov	0.0573474
Lome	0.0570499
Harbin	0.0568232
HUHHOT	0.0566254
"Mount Pleasant"	0.0565483
Maastricht	0.0563678
"Banja Luka"	0.0558487
Luxemburg	0.0557805
Aswan	0.0556978
"San Salvador"	0.0555192
Yantai	0.0552074
Bali	0.05503
Mullaitivu	0.0546684
"Quintana Roo"	0.0545846
Shenyang	0.0544771
Huangshan	0.0538718
Berne	0.0535865
"Palm Springs"	0.0533541
"Wang Wei"	0.0532667
"Panama City"	0.0527581
Kisumu	0.0524374
Rabat	0.0522962
Bergen	0.0517198
Lucerne	0.0514657
Hohhot	0.051429
Talipao	0.0510039
Goteborg	0.0509563
Ljubljana	0.050929
Weimar	0.0508544
Suez	0.0507371
"Deer Valley"	0.0504981
"Presidential Palace"	0.0504669
Izmir	0.0504064
Srinagar	0.0500477
"Wye Plantation"	0.0500357
Algiers	0.0499943
Tashkent	0.0499582
Makeni	0.0498331
Hannover	0.0491089
Dubrovnik	0.0490507
Merida	0.0489699
"Chiang Rai"	0.0488364
BASEL	0.0488132
Sestriere	0.0486462
Golcuk	0.0486277
Entebbe	0.048389
Lucknow	0.0481501
"The Hague"	0.0480248
"Park City"	0.0480223
"San Cristobal"	0.0479914
"Li Lanqing"	0.0479804
"Himachal Pradesh"	0.0477142
Gaborone	0.0474404
Novosibirsk	0.0472339
Langkawi	0.0470675
Durban	0.0470627
Sion	0.0469705
Changsha	0.0468825
Veracruz	0.0467646
Bern	0.0467026
"Subic Bay"	0.0464483
Cabinda	0.0463057
Argun	0.0459307
"Sierra Nevada"	0.0457056
Yekaterinburg	0.0456294
Khabarovsk	0.0455503
"Siem Reap"	0.0454964
Edinburgh	0.0454471
PALERMO	0.0453167
Zhangjiakou	0.0452192
Ghent	0.0452181
Fallon	0.0451783
BLANTYRE	0.0451616
Baalbek	0.0450421
Panzhihua	0.0446282
"Port Said"	0.044627
Libreville	0.0445913
Rafah	0.0445175
Fukuoka	0.0442712
Muscat	0.0436553
Chiba	0.0435038
Enugu	0.0433909
Carthage	0.0432965
Daqing	0.0432148
"Gaza City"	0.0431724
Atambua	0.0431281
mid-December	0.0430267
Xining	0.0430086
Crimea	0.0428981
Sol	0.0425828
Jericho	0.0422298
Gudermes	0.0419107
Kyoto	0.0419088
Farmington	0.0414274
"Miami Valley"	0.0413121
Christchurch	0.0410883
Cozumel	0.040943
Avila	0.0407751
Ndola	0.0406282
))
(beige (desc 6007.02) (sims
mauve	0.196435
lavender	0.195226
purple	0.18362
Pink	0.17946
turquoise	0.179405
maroon	0.168145
gray	0.164039
tan	0.16204
taupe	0.157363
Yellow	0.15689
chartreuse	0.154958
pastel	0.14974
grey	0.137555
lilac	0.132277
khaki	0.130442
blue	0.127895
violet	0.125786
fuchsia	0.123697
crimson	0.116035
Scarlet	0.115341
Burgundy	0.108033
aqua	0.107209
teal	0.102108
Orange	0.100565
indigo	0.0991367
Amber	0.0964487
"deep red"	0.0927949
periwinkle	0.0906132
blond	0.0887344
coral	0.0884124
"royal blue"	0.0881727
ivory	0.0876203
shade	0.0846348
suede	0.0838689
"navy blue"	0.0818916
"sport shirt"	0.0746492
chiffon	0.0703087
capris	0.0698332
garnet	0.0690616
loafer	0.068939
cream	0.0687039
"dark blue"	0.0665174
denim	0.0654779
corduroy	0.0645404
Blush	0.0638287
stripe	0.0626451
satin	0.061211
camel	0.0607365
hue	0.059887
plum	0.0591817
"black and white"	0.0585152
plaid	0.0582766
Anglos	0.0582024
velvet	0.0577876
"blue ribbon"	0.0569102
linen	0.0562514
charcoal	0.0561722
chevre	0.0561461
Sash	0.055987
woolen	0.055679
shades	0.0555087
caramel	0.0551839
cobalt	0.0551438
yolk	0.0550129
lime	0.0548866
peach	0.0548823
tweed	0.0545309
pewter	0.0543024
sweater	0.0535473
"cobalt blue"	0.0534738
"yellow light"	0.05255
"business suit"	0.0522018
turtleneck	0.0520466
"polo shirt"	0.0519514
aquamarine	0.0517094
stripes	0.0516559
"olive green"	0.0509303
lipstick	0.0506246
leather	0.0504535
cashmere	0.050327
corset	0.0500369
blouse	0.0498744
tint	0.0494578
"black flag"	0.0488762
"dress shirt"	0.0486811
fur	0.0476264
apricot	0.0473072
olive	0.0466792
rust	0.0465476
sheath	0.0463585
windbreaker	0.0463024
"red light"	0.0460184
frock	0.0458655
"white flag"	0.0456671
gown	0.0455069
canary	0.0454855
"rubber boot"	0.0454376
bunting	0.0445823
undershirt	0.0445595
palette	0.0444453
robe	0.0442511
vestment	0.0440214
"Asian American"	0.0437527
Giles	0.0435934
"bathing suit"	0.043436
nylon	0.0432942
pancake	0.0431827
succulent	0.0429378
"Asian Americans"	0.0428764
limestone	0.0427799
tangerine	0.042421
lemon	0.0424003
silk	0.042351
complexion	0.0421769
"color scheme"	0.0421759
pantsuit	0.0420845
"evening gown"	0.04198
ribbon	0.0419048
"evening dress"	0.0417399
"pants suit"	0.0416824
carnation	0.0415979
"light brown"	0.0415767
putty	0.041575
clothes	0.0413463
eggplant	0.0411886
undertone	0.0411297
embroidery	0.0406604
pants	0.0405036
daffodil	0.0402174
glaze	0.0401496
))
(Beihai (desc 5882.86) (sims
Zhanjiang	0.395969
Wenzhou	0.315786
Shantou	0.291937
Nanning	0.284528
Haikou	0.263205
Ningbo	0.261459
Xiamen	0.257298
Zhuhai	0.255462
Guilin	0.25399
Fuzhou	0.249459
Liuzhou	0.239181
Suzhou	0.220767
Qingdao	0.218134
Nanchang	0.209599
Dalian	0.209404
Yantai	0.204504
Zhangzhou	0.199406
Quanzhou	0.193485
Lianyungang	0.192704
Kunming	0.191056
Sanya	0.189744
Hefei	0.188988
Shenzhen	0.184028
Hangzhou	0.179446
Chongqing	0.177609
Dongguan	0.171415
Zhongshan	0.167426
CHENGDU	0.166735
Guangzhou	0.163874
Weihai	0.162705
NANJING	0.158757
ZHOUSHAN	0.150695
Guiyang	0.149954
Wuhan	0.148379
Kaohsiung	0.143424
Taizhou	0.14105
Zhenjiang	0.137886
Nantong	0.137839
Foshan	0.137101
Shenyang	0.135845
Huangshan	0.134186
Wuxi	0.131501
Harbin	0.129175
Zhangjiagang	0.127322
Zhengzhou	0.126566
Tianjin	0.125437
Luoyang	0.123747
Changsha	0.122984
Qinhuangdao	0.121118
Shanghai	0.11604
CHANGCHUN	0.114481
Cebu	0.110448
Shaoxing	0.109655
Taiyuan	0.10783
Jinan	0.10522
Lanzhou	0.105175
Shijiazhuang	0.104992
Hohhot	0.102845
Xining	0.10269
Kisumu	0.0983455
Urumqi	0.0977674
Lhasa	0.0970139
Anshan	0.096948
Hainan	0.0969181
Trincomalee	0.0961617
Xuzhou	0.0953642
Zhangjiajie	0.0940685
Datong	0.0939614
Jiujiang	0.0930526
Chengde	0.090522
Aqaba	0.0890117
Pudong	0.0889567
"Hainan Province"	0.0883425
Tangshan	0.0872939
Yangzhou	0.0865919
Nagoya	0.0858999
"Guangdong Province"	0.0858912
Chittagong	0.0857405
Pusan	0.0848827
Bushehr	0.0831903
Novosibirsk	0.0822193
Weifang	0.0821136
Baotou	0.0799658
Davao	0.0793054
Galle	0.0790843
Baoding	0.0787806
Guangdong	0.0785026
Murmansk	0.0783375
Yichang	0.0775465
"Pearl River Delta"	0.0772394
Fujian	0.0770258
Sevastopol	0.0769494
"Pudong New Area"	0.0767818
Limassol	0.0764948
"provincial capital"	0.0758936
Durres	0.0758559
"Fujian Province"	0.0755306
"Beibu Gulf"	0.0755281
Guangxi	0.0754721
Jingdezhen	0.0754703
Assab	0.0754431
Cartagena	0.0749239
Beira	0.0747661
Yinchuan	0.0746836
"Zhejiang Province"	0.0739075
Dandong	0.0733494
Matadi	0.0728917
Changzhou	0.0721095
Acapulco	0.0720842
Sihanoukville	0.0714903
Inchon	0.0713583
Vladivostok	0.0709181
Turpan	0.0704157
Guayaquil	0.0703379
Mombasa	0.0697115
Durban	0.0695149
Ashkelon	0.0686452
Bamiyan	0.0684179
Chennai	0.0683019
"CHIANG MAI"	0.0681401
Antalya	0.0681033
Gdansk	0.0680154
Salonica	0.0679536
Izmir	0.0674388
Odessa	0.0671655
Daqing	0.0669835
Piraeus	0.0669094
Mandalay	0.066092
"Guangxi Zhuang Autonomous Region"	0.0660144
Toulon	0.0659047
Bulawayo	0.0657724
Fushun	0.0654576
Golmud	0.0653908
Catania	0.0652711
Basra	0.0652442
MAPUTO	0.0649601
Jiangsu	0.0644412
Jinzhou	0.064223
Zhejiang	0.0639071
Shashi	0.0636181
Hyderabad	0.0634898
Guizhou	0.063362
Zhangjiakou	0.0632626
"Ho Chi Minh City"	0.0628637
Xian	0.0621733
Sidon	0.0621705
Tapachula	0.0621029
Huambo	0.0619013
Phuket	0.0613912
Manta	0.0608832
Aden	0.0606885
"Ulan Bator"	0.0606652
Oro	0.0606161
Aswan	0.0603213
Lijiang	0.0601628
Baalbek	0.0600906
Larnaca	0.0599752
Rawalpindi	0.0599726
Yunnan	0.0596416
Quetta	0.0594484
Sichuan	0.059308
Izmit	0.0590634
Dunhuang	0.0589939
"Tianjin Municipality"	0.0589306
Nagasaki	0.0589053
NIS	0.0588023
Nago	0.0586291
Ningxia	0.0583445
Alexandria	0.0577384
Karachi	0.0572499
"Special Economic Zones"	0.057248
Posoltega	0.0570949
Gudermes	0.0569468
Khulna	0.0567352
Aachen	0.0565457
Irbil	0.0563784
Cyberjaya	0.0563424
Taloqan	0.0562666
Malaga	0.0562499
"San Pedro Sula"	0.0562235
Trieste	0.0562031
"Tibet Autonomous Region"	0.0559676
"Port Harcourt"	0.0559269
Ensenada	0.0558133
Casas	0.0555949
Cochabamba	0.0554371
Haifa	0.0553191
Bangalore	0.0552692
"Liaoning Province"	0.0552379
Jilin	0.0548539
Balboa	0.0547406
Diyarbakir	0.0547385
Thessaloniki	0.054622
Najaf	0.0545377
Ibadan	0.054346
Mosul	0.0543092
Zhongguancun	0.0541232
Zamboanga	0.0541122
Gansu	0.0539608
"Jiangsu Province"	0.0538582
))
(BEIJING (desc 175083) (sims
Shanghai	0.313678
Guangzhou	0.231393
Tianjin	0.22883
Moscow	0.220856
CHENGDU	0.210223
Bangkok	0.209211
Kunming	0.20486
Chongqing	0.202735
CAIRO	0.201664
NANJING	0.201251
Hangzhou	0.19699
"Hong Kong"	0.19664
Shenzhen	0.196354
SEOUL	0.193546
Tehran	0.193152
Tokyo	0.192757
Shenyang	0.19178
China	0.182986
Wuhan	0.181018
Paris	0.181007
HANOI	0.180856
Jakarta	0.179061
LONDON	0.178553
Manila	0.17814
"Kuala Lumpur"	0.17803
"New Delhi"	0.174633
BRUSSELS	0.170477
Nairobi	0.16853
HARARE	0.167792
Dalian	0.167397
Lhasa	0.167249
Lanzhou	0.165748
Rome	0.165003
Urumqi	0.164566
DHAKA	0.164271
Xiamen	0.163791
Washington	0.162485
"Addis Ababa"	0.162221
Fuzhou	0.162135
Singapore	0.161924
Geneva	0.160854
Macao	0.160319
Amman	0.159684
"Phnom Penh"	0.159537
Harbin	0.158951
Havana	0.158797
Baghdad	0.158568
city	0.158401
CHANGCHUN	0.15724
"Mexico City"	0.15658
Islamabad	0.156115
Zhengzhou	0.155847
PYONGYANG	0.155739
Haikou	0.155403
Beirut	0.154694
Changsha	0.154552
Jinan	0.154531
JOHANNESBURG	0.153498
Qingdao	0.153498
ANKARA	0.153368
BELGRADE	0.152731
BUCHAREST	0.152331
ATHENS	0.151133
Shijiazhuang	0.150515
Berlin	0.150436
Guangdong	0.149556
Taiyuan	0.149293
Lusaka	0.149216
Nanning	0.149069
Vienna	0.148724
Kathmandu	0.148511
Istanbul	0.147751
KIEV	0.14767
YANGON	0.147184
Guilin	0.14528
COLOMBO	0.14482
Hefei	0.144443
capital	0.143562
Zhuhai	0.141449
MAPUTO	0.141052
"New York"	0.140073
KAMPALA	0.139327
Hohhot	0.139244
LISBON	0.138904
Guiyang	0.138479
Luanda	0.138099
Xining	0.137403
Bonn	0.136413
Taipei	0.136205
Santiago	0.135859
"Buenos Aires"	0.135266
"Dar es Salaam"	0.135262
province	0.134905
"Tel Aviv"	0.133456
Zhejiang	0.133338
Fujian	0.13322
STOCKHOLM	0.133115
Riyadh	0.132809
Sarajevo	0.13242
Pretoria	0.131947
WARSAW	0.130559
Yinchuan	0.13043
BOGOTA	0.130417
Prague	0.130141
Madrid	0.129746
JERUSALEM	0.129493
Suzhou	0.128338
"Los Angeles"	0.127603
Algiers	0.127117
Damascus	0.126909
"Cape Town"	0.126851
BUDAPEST	0.126504
Jiangsu	0.126439
Lagos	0.126148
Sichuan	0.12581
TIRANA	0.125689
Thailand	0.124968
Nanchang	0.124735
Yunnan	0.124692
Taiwan	0.124463
CARACAS	0.124194
SOFIA	0.124039
Japan	0.124012
Egypt	0.123914
"Guangdong Province"	0.123315
"United States"	0.121801
Dublin	0.121223
Hainan	0.121059
Tibet	0.120605
Helsinki	0.120043
Tripoli	0.120037
"Ho Chi Minh City"	0.119668
Guangxi	0.119329
country	0.119025
"South Africa"	0.118956
Khartoum	0.118933
Shandong	0.118374
Sydney	0.117384
ZAGREB	0.117156
Amsterdam	0.116955
"Abu Dhabi"	0.116895
Liaoning	0.116779
Kabul	0.116582
Vietnam	0.116553
Abuja	0.116338
Gaza	0.115854
Malaysia	0.11563
Shaanxi	0.115472
India	0.113931
Israel	0.113812
"San Francisco"	0.113683
Atlanta	0.113381
mainland	0.112977
Pakistan	0.112825
Iran	0.111943
France	0.11177
Ningbo	0.111686
Xinjiang	0.111625
Henan	0.111611
Yantai	0.111431
Britain	0.111403
Ottawa	0.11094
Frankfurt	0.11053
NICOSIA	0.109973
Jilin	0.109949
region	0.109924
Pristina	0.109676
Russia	0.109237
Belfast	0.109077
Kinshasa	0.108588
Kenya	0.108437
Boston	0.108076
Hebei	0.10797
Myanmar	0.107924
Lima	0.10787
Chicago	0.107744
"Liaoning Province"	0.107388
"Rio de Janeiro"	0.107286
Vientiane	0.107225
Durban	0.10718
Nepal	0.107098
Anhui	0.106931
Kuwait	0.106842
TUNIS	0.106749
Turkey	0.106713
"New York City"	0.106663
Quito	0.106409
Ningxia	0.10615
Kigali	0.106103
Guizhou	0.105819
Germany	0.105663
"St. Petersburg"	0.105118
Mogadishu	0.104837
Seattle	0.104291
Cuba	0.104181
MELBOURNE	0.10418
Cambodia	0.104071
Hunan	0.103466
Doha	0.103454
"Saudi Arabia"	0.103298
Oslo	0.102922
Mexico	0.1028
Osaka	0.102726
Canada	0.102241
Shantou	0.101955
Bangladesh	0.1017
"South Korea"	0.101536
Australia	0.101461
Tanzania	0.101393
"Tibet Autonomous Region"	0.100933
Europe	0.100762
Accra	0.100747
Minsk	0.100564
Libya	0.100437
Wellington	0.100125
))
("Beijing Daily" (desc 3229.7) (sims
"China Youth Daily"	0.32485
"Economic Daily"	0.27311
"China Daily Business Weekly"	0.234501
"Guangming Daily"	0.219675
"Egyptian Gazette"	0.2155
"Straits Times"	0.202442
"Business Times"	0.198412
"Daily Times"	0.196626
Sowetan	0.19474
"Kenya Times"	0.194169
"China Daily"	0.19234
"Indonesian Observer"	0.191418
"Agence France Presse"	0.185018
"Tehran Times"	0.184918
"Ghana News Agency"	0.182846
"Ethiopian Herald"	0.180773
"Saudi Press Agency"	0.178517
"Jerusalem Post"	0.17527
"Business Weekly"	0.175206
"Kyodo News Service"	0.175104
"Business Day"	0.174399
"Philippine News Agency"	0.171144
"Southern African Broadcasting Association"	0.171018
"Korean Central News Agency"	0.170569
"Kathmandu Post"	0.17011
"Beijing Youth Daily"	0.169881
"U.S. Labor Department"	0.169636
"Daily Star"	0.169288
"Moscow Times"	0.168757
"Kyodo News"	0.168262
"Jordan Times"	0.166538
Angop	0.164202
"Alam Al Yom"	0.163788
"New Nigerian"	0.162518
"South China Morning Post"	0.161951
"Zambia News Agency"	0.16048
Lusa	0.160251
"Macao Daily News"	0.15987
"Post Express"	0.158815
Ansa	0.156527
"Radio Uganda"	0.15516
"Egyptian Middle East News Agency"	0.155136
"New Vision"	0.153647
"Zambia Daily Mail"	0.153599
"East African Standard"	0.153056
"Khaleej Times"	0.152925
Antara	0.15177
"Vietnam News"	0.150797
Tass	0.150242
"Financial Mail"	0.150233
Malaya	0.149658
"Sydney Morning Herald"	0.147444
Noticias	0.146609
"Kuwait News Agency"	0.144448
"Al Ahram"	0.143009
"Vietnam News Agency"	0.142279
Haaretz	0.142009
"Iraqi News Agency"	0.141583
"Ethiopian News Agency"	0.141104
"Gulf News"	0.140894
"Bangkok Post"	0.139871
"Associated Press of Pakistan"	0.137811
"Agence France-Presse"	0.137713
"Cyprus News Agency"	0.136686
"Daily Nation"	0.136227
MTI	0.135847
Notimex	0.135471
"Thai News Agency"	0.133783
"Wenhui Daily"	0.13324
"News Agency of Nigeria"	0.132157
"Rwanda News Agency"	0.130894
"Australian Associated Press"	0.130858
"Iran News"	0.130513
"Jakarta Post"	0.130136
"Athens News Agency"	0.12885
ATA	0.128539
"Nihon Keizai Shimbun"	0.127548
Kyodo	0.126751
"Press Trust of India"	0.126156
"Al Hayat"	0.125594
KPL	0.123996
"Islamic Republic News Agency"	0.12353
Bernama	0.122649
"Anatolia News Agency"	0.121848
"United Press International"	0.121178
"Zimbabwe News Agency"	0.12004
"New Light"	0.119618
"British Broadcasting Corporation"	0.118612
"Xinhua News Agency"	0.118529
"Middle East News Agency"	0.117857
"El Pais"	0.117745
"National Association of Realtors"	0.117519
IRNA	0.117113
Petra	0.116808
RSS	0.116488
"International Business Daily"	0.11616
"East African"	0.115175
"Statistics Canada"	0.114704
BS	0.11386
Hurriyet	0.113048
"Turkish Daily News"	0.112671
WAM	0.112261
Tanjug	0.112037
"Dow Jones Newswires"	0.110914
MENA	0.110853
Kommersant	0.110778
SAPA	0.109383
"Israel Radio"	0.108914
"The Monitor"	0.108736
"Daily Telegraph"	0.108567
"South African Press Association"	0.107734
"The New Vision"	0.1077
AFP	0.107474
"El Mundo"	0.105781
"Antara News Agency"	0.104552
"Seattle Times"	0.103823
"Nihon Keizai"	0.103813
Eurostat	0.102641
Maariv	0.102213
"Financial Times"	0.101454
"Washington Times"	0.0995238
"Le Monde"	0.0985409
"Yomiuri Shimbun"	0.0983368
al-Hayat	0.0978933
"New Straits Times"	0.0978643
Al-Ahram	0.0969594
"Daily Mail"	0.0943486
Salam	0.0940486
Asahi	0.0937423
PTI	0.0936781
"Le Figaro"	0.0912189
Interfax	0.0910212
"U.S. Commerce Department"	0.0906089
"Jerusalem Media and Communication Center"	0.090245
"Press Trust"	0.0902323
Jana	0.0893594
"Asahi Shimbun"	0.0889971
Anatolia	0.0854728
APP	0.085372
Itar-Tass	0.0842756
ABS-CBN	0.0841972
"Information Center"	0.0818867
Yomiuri	0.0813884
CTV	0.0813164
"press agency"	0.0809987
"Daily News"	0.0803405
"Detroit News"	0.0799224
Reforma	0.079205
Reuters	0.0791338
"Conference Board"	0.0788922
NTV	0.0784179
APA	0.0780682
"National Post"	0.0777673
"U.S. Census Bureau"	0.0773505
"Der Spiegel"	0.0768653
"Detroit Free Press"	0.0751805
INA	0.0744786
"Boston Herald"	0.0718514
"Dallas Morning News"	0.0716906
Granma	0.0715056
Spiegel	0.070201
"Denver Post"	0.0701895
"Los Angeles Times"	0.0697503
"Wall Street Journal"	0.0682214
Dominion	0.0681036
NHK	0.0675432
CNA	0.0674049
"Evening Standard"	0.0663825
"U.S. Agriculture Department"	0.0660932
"New York Daily News"	0.0659115
L'Equipe	0.0653145
Bild	0.0650319
"Chicago Tribune"	0.064736
"Yediot Ahronot"	0.064654
BBC	0.0639937
MidCap	0.0638064
Inquirer	0.0637642
Politika	0.0633417
RNA	0.0630846
"Washington Post"	0.062817
"Commerce Department"	0.0628116
"Census Bureau"	0.0618993
"USA TODAY"	0.0617027
"Labor Department"	0.0603379
"Hartford Courant"	0.0603351
KUNA	0.059177
TT	0.0586855
"Philadelphia Inquirer"	0.0579091
"Australian Bureau of Statistics"	0.0577908
"New York Post"	0.0570577
API	0.0568843
"Kosovo Information Center"	0.0568187
SSB	0.0565542
"State Statistics Bureau"	0.0564958
telegraph	0.0557069
EOHR	0.0541232
"Miami Herald"	0.0538885
beta	0.0537012
"American Petroleum Institute"	0.0533673
ISTAT	0.0533392
))
("Beijing Declaration" (desc 1439.61) (sims
"U.N. Convention"	0.188289
"Joint Statement"	0.185434
"U.N. Resolution @@@"	0.156341
"Lahore Declaration"	0.151206
"Resolution @@@"	0.147228
"Kyoto Protocol"	0.143919
"Lusaka Peace Accord"	0.141476
"United Nations Convention"	0.136739
"U.N. Security Council Resolution @@@"	0.134461
"plan of action"	0.130536
"Lusaka Protocol"	0.129351
"Nationality Law"	0.129266
"International Covenant"	0.127944
"general agreement"	0.127943
"Resolution @@@@"	0.12624
"Sino-Portuguese Joint Declaration"	0.124132
"Sino-British Joint Declaration"	0.12389
CRC	0.119772
"expression of regret"	0.116744
"Joint Declaration"	0.10971
"Fourth World Conference"	0.109542
"Oslo Accords"	0.108911
"Framework Agreement"	0.107859
"World Conference"	0.103798
"Revised Version"	0.0994202
"Montreal Protocol"	0.0983139
"Free Trade Agreement"	0.0982517
"Stability Pact"	0.0962585
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0908582
"Chemical Weapons Convention"	0.0905591
FTA	0.0897392
"value added tax"	0.0897297
"Comprehensive Nuclear Test Ban Treaty"	0.0896794
"organic law"	0.089515
Sharia	0.0893087
"political program"	0.088196
"Universal Declaration"	0.0869865
"memorandum of understanding"	0.0865092
"Oslo Accord"	0.0861727
"Telecommunications Act"	0.0860619
"executive program"	0.0860521
communique	0.0836469
CWC	0.0829568
"Plan Colombia"	0.0828214
"Helms-Burton Act"	0.0807889
"International Convention"	0.0805056
"Macao Basic Law"	0.0798387
"No. @@@@"	0.0793522
MOU	0.0777696
encyclical	0.0756277
CTBT	0.0734313
"Ninth Five-Year Plan"	0.0722303
NPT	0.0705838
covenant	0.069342
Sheikh	0.0691166
"Action Plan"	0.0690055
surtax	0.0689191
Ita	0.068419
memoranda	0.0668716
"Vision @@@@"	0.0668432
oil-for-food	0.065829
fatwa	0.0654695
"death warrant"	0.0651038
"ASEAN Free Trade Area"	0.0649697
Wye	0.064764
"code of conduct"	0.0647102
"Criminal Procedure Law"	0.0645865
"Ministerial Meeting"	0.063908
"START II"	0.0636751
Dakar	0.0632375
Sautin	0.0630369
"United Nations Conference"	0.0624994
"purchase agreement"	0.0620795
"American Association"	0.0612077
"Comprehensive Test Ban Treaty"	0.0611907
"white paper"	0.0611374
"Article @@"	0.0604408
AFTA	0.0602364
"Wye River"	0.059916
"European Convention"	0.0595094
"North American Free Trade Agreement"	0.0590915
"maritime law"	0.0588184
"safety measure"	0.0586661
"letter of intent"	0.0580358
"written agreement"	0.0573336
"Nuclear Non-Proliferation Treaty"	0.0572211
plenum	0.0571261
manifesto	0.0568133
"quota system"	0.056787
"final judgment"	0.0564216
"Silver Star"	0.0559205
"Sustainable Development"	0.0555321
"Marshall Plan"	0.0547986
"Declaration of Independence"	0.0546921
"quid pro quo"	0.0546412
"UN Security Council"	0.0546255
"Prince Saud Al-Faisal"	0.0545816
"Secretary General Boutros Boutros-Ghali"	0.0544189
"Uruguay Round"	0.0537346
"Bob Herbert"	0.0533539
"Saudi King Fahd Ibn Abdul-Aziz"	0.0531842
"price reduction"	0.0521094
"educational activity"	0.0518189
"master plan"	0.051762
Meguid	0.0517587
"compromise plan"	0.0513844
"International Conference"	0.051047
"criminal law"	0.0509708
Muoi	0.0509327
Systems	0.0506772
"finding of fact"	0.0506437
"legal code"	0.0502492
Measures	0.0501846
"Voting Rights Act"	0.0500189
"written record"	0.049945
Zemin	0.0497898
"Council of Ministers"	0.0494035
symposia	0.0492509
ADP	0.0491588
pro-choice	0.0491197
"Free Trade Area"	0.0487826
syllabus	0.0486888
"Geneva convention"	0.0486853
Shariah	0.0485711
"African Economic Community"	0.0485096
"Deng Xiaoping Theory"	0.0481714
OS/@	0.0481201
"National Association"	0.0476417
Ada	0.0473751
fins	0.0473525
VFA	0.0473431
five-point	0.0471217
"accounting system"	0.0470696
convertibility	0.047021
"Netscape Navigator"	0.0468705
el-Sheikh	0.0468387
"monitoring program"	0.0468293
"user fee"	0.046784
cordiality	0.0464325
"tax change"	0.046373
"expansion plan"	0.0462532
"Amr Moussa"	0.0462077
namelist	0.0458124
"Joint Liaison Group"	0.0457211
"ground rule"	0.0457151
"Russian Duma"	0.044652
"progress report"	0.044596
sub-commission	0.0444939
"point system"	0.0442396
"U.N. Conference"	0.0442296
"President Hafez Al-Assad"	0.0441816
Helms-Burton	0.044163
"basic principle"	0.0440694
"drilling rig"	0.043998
"political platform"	0.0439086
"promissory note"	0.0438208
Sana	0.0437703
"English Football Association"	0.0436381
"Sartaj Aziz"	0.0432344
"poison pill"	0.0431346
threshhold	0.043058
"Esmat Abdel Meguid"	0.0430301
"employment contract"	0.0427927
Unix	0.0425707
"escape hatch"	0.0424715
"Anthony Lewis"	0.0423371
"standard operating procedure"	0.042335
"East African Community"	0.0420235
"Clean Air Act"	0.0419442
NAFTA	0.0418076
CAC	0.041795
"rehabilitation program"	0.041687
"high time"	0.04167
"Suleyman Demirel"	0.041607
monograph	0.0415891
"Vienna Convention"	0.0413279
CITES	0.0412696
spotter	0.0412241
"Cliffs Notes"	0.0411768
"bankruptcy law"	0.0410927
"HK SAR"	0.0410762
worksheet	0.0409957
"Russian State Duma"	0.0409206
"rating system"	0.0408695
"Damascus Declaration"	0.04071
"value-added tax"	0.040689
SDH	0.0406496
"tax policy"	0.0405983
Yabloko	0.0403038
"Kamal Kharrazi"	0.0402799
"Special Administrative Region"	0.0401993
"number crunching"	0.0401283
))
("Beijing Ducks" (desc 1996.28) (sims
"Liaoning Hunters"	0.504814
"Shanghai Sharks"	0.498754
"Shandong Flaming Bulls"	0.494621
"Guangdong Tigers"	0.483381
"Bayi Rockets"	0.470234
"Guangdong Hongyuan"	0.27725
"Chinese Army"	0.196366
"Qingdao Hainiu"	0.159499
Pegasus	0.147522
"Phoenix Mercury"	0.129018
"LA Lakers"	0.126359
"Guangzhou Apollo"	0.124709
Hongyuan	0.121703
"Yokohama Baystars"	0.121614
"Sichuan Quanxing"	0.119566
"CHARLOTTE STING"	0.118581
"Tatiana Panova"	0.118118
"Jinan Taishan"	0.117735
Aoshen	0.116521
"Shanghai Shenhua"	0.11507
Panathinaikos	0.112538
"Albert Portas"	0.112132
"Seibu Lions"	0.109317
"New York Liberty"	0.108387
"Dallas Burn"	0.106881
"Partizan Belgrade"	0.106668
"Judith Wiesner"	0.103458
"Velez Sarsfield"	0.102709
Palmeiras	0.101983
Bayi	0.101896
"Red Star"	0.0995988
"Ma Lin"	0.0993888
"Olympiakos Piraeus"	0.0989128
"Li Fang"	0.0987098
"Alberto Berasategui"	0.0984895
"Naoko Sawamatsu"	0.0979389
"Zhang Ning"	0.0978041
"Asa Carlsson"	0.0967378
"Sabine Appelmans"	0.0957315
Susanti	0.0949944
"Sarah Pitkowski"	0.094675
"Nathalie Dechy"	0.094143
"Adrian Voinea"	0.0934621
Nacional	0.0933539
"Kinder Bologna"	0.0929933
"Marcelo Filippini"	0.0925673
"VfB Stuttgart"	0.0925222
"Sergi Bruguera"	0.0924566
"Christian Ruud"	0.0920279
"Colo Colo"	0.0919582
"AEK Athens"	0.0919143
Olympiakos	0.0914454
"Neville Godwin"	0.0910393
"Andrei Pavel"	0.0902946
"Karim Alami"	0.0900869
"Renzo Furlan"	0.0898976
spikers	0.0896983
Schalken	0.0895663
"Kristie Boogert"	0.0891055
"Andreas Vinciguerra"	0.0881139
"Guy Forget"	0.0877366
"Real Betis"	0.0877018
Jansher	0.0875227
"Yayuk Basuki"	0.0872159
"Dalian Wanda"	0.0868636
"Magdalena Maleeva"	0.0866544
"Ai Sugiyama"	0.0866158
"LA Clippers"	0.0864921
"Filip Dewulf"	0.0864112
"Rainer Schuttler"	0.0863888
Zamalek	0.0861153
Besiktas	0.0857744
"River Plate"	0.085759
"Xavier Malisse"	0.085664
"Younes El Aynaoui"	0.0856222
"Arnaud Clement"	0.0855219
Dosedel	0.0854473
"Leicester City"	0.0851945
"Los Angeles Galaxy"	0.0850707
Penarol	0.0850303
"Xia Xuanze"	0.0845796
"Silvia Farina"	0.0844932
"Phenix City"	0.0838415
Spartak	0.0831033
Shandong	0.0829511
"Gong Zhichao"	0.0819609
"Boca Juniors"	0.081902
"Brenda Schultz-McCarthy"	0.0817901
"Tara Snyder"	0.0815459
"Alberto Costa"	0.0812136
"Franco Squillari"	0.0811983
"Coventry City"	0.0805669
Gremio	0.080371
"Camilla Martin"	0.0802794
"Sturm Graz"	0.0801925
"Carlos Costa"	0.080155
Nicol	0.0801514
"Mariano Puerta"	0.0801434
"Todd Woodbridge"	0.0797891
"Fabrice Santoro"	0.0796749
"Fung Permadi"	0.0793366
Edberg	0.079309
Halard-Decugis	0.0788
"Jeff Tarango"	0.0787448
"Jerome Golmard"	0.078484
"Sebastien Lareau"	0.0782274
"Gianluca Pozzi"	0.0779224
Zhejiang	0.0776624
"Vincent Spadea"	0.077422
"Magui Serna"	0.0773439
"Marcos Ondruska"	0.0773303
"Deep Blue"	0.0771099
"Werder Bremen"	0.0769964
"Barbara Schett"	0.0769445
"Michael Stich"	0.0768823
Benfica	0.0767708
Berasategui	0.076584
"Sargis Sargsian"	0.0765287
"Ji Xinpeng"	0.0764134
"Richard Fromberg"	0.0763987
"Sebastien Grosjean"	0.0763884
"Magnus Gustafsson"	0.0758707
"Kenneth Carlsen"	0.0756034
"Arnaud Di Pasquale"	0.0755749
"Gong Ruina"	0.0754749
Liaoning	0.0752573
"Glasgow Rangers"	0.0752509
"Andrea Gaudenzi"	0.0752144
"Kim Clijsters"	0.0750927
"Wang Shi-Ting"	0.0748965
Shenhua	0.0746655
Fenerbahce	0.0745869
"Roger Federer"	0.0744632
"Galo Blanco"	0.0743048
PSG	0.0743021
Brondby	0.0741493
"Miami Fusion"	0.0740971
"Mariano Zabaleta"	0.0740841
"Wang Nan"	0.0738934
"Andrew Ilie"	0.0732029
"Dai Yun"	0.0731912
"Davide Sanguinetti"	0.0729121
"Elena Likhovtseva"	0.0728966
"Hernan Gumy"	0.0727366
"Chicago Fire"	0.0723384
Ulihrach	0.0722539
"Houston Comets"	0.0717543
"DPR Korea"	0.0716191
"Kimiko Date"	0.0714899
Terps	0.071276
"Horned Frogs"	0.0712413
"Francisco Clavet"	0.0712151
"Juan Antonio Marin"	0.0711817
"Hicham Arazi"	0.0711168
"Heryanto Arbi"	0.0711164
"Bradford City"	0.0708295
"Els Callens"	0.0708104
"Los Angeles Sparks"	0.07045
Sautin	0.0703984
"Fernando Meligeni"	0.07031
"Athletic Bilbao"	0.0702974
Starzz	0.0701971
"Russian Yevgeny Kafelnikov"	0.069995
Espanyol	0.069928
"New York-New Jersey MetroStars"	0.0696808
"Amy Frazier"	0.0695621
Cruzeiro	0.0694586
Supersonics	0.0693864
Necaxa	0.0692467
"Wang Chen"	0.0688522
"Max Mirnyi"	0.0686033
"Arnaud Boetsch"	0.068277
"Barbara Paulus"	0.0682528
"Jennifer Capriati"	0.068233
"Fighting Irish"	0.0681577
"Calgary Flames"	0.067995
"Rodney Eyles"	0.0679634
"Vladimir Samsonov"	0.0676796
"Ruxandra Dragomir"	0.0676681
Villareal	0.0676531
"Jason Stoltenberg"	0.067641
Rosenborg	0.0674346
"Olga Barabanschikova"	0.0672763
"Le Defi Francais"	0.0672221
"Li Ju"	0.067009
"Derby County"	0.0669184
"Paola Suarez"	0.0667982
"John Van Lottum"	0.0667882
Jiangsu	0.06667
Olimpia	0.0666296
"Stars &AMP; Stripes"	0.0662001
"Miriam Oremans"	0.0661726
"Mirjana Lucic"	0.0661545
"Anne Kremer"	0.0661113
"Iva Majoli"	0.0660569
"Albert Costa"	0.0660519
Habsudova	0.0659715
"Andrei Medvedev"	0.065835
"West Ham United"	0.0657016
"Chanda Rubin"	0.0655674
))
("Beijing Guo" (desc 1133.84) (sims
"Sichuan Quanxing"	0.419503
"Chinese Army"	0.329945
"Dalian Wanda"	0.309853
"Shanghai Shenhua"	0.303406
"Jinan Taishan"	0.297631
"Qingdao Hainiu"	0.274425
"Guangdong Hongyuan"	0.214558
"Guangzhou Apollo"	0.132308
Shenhua	0.122695
Sidot	0.0944367
Bastia	0.0911051
Torino	0.0890146
Watford	0.088876
Kremer	0.0886017
Salernitana	0.0870115
"Coventry City"	0.0835027
Nacional	0.0807979
Besiktas	0.0795095
placers	0.0766012
Cagliari	0.0764467
Bao	0.0737873
"American Chanda Rubin"	0.0727389
Tai	0.0724996
Lindland	0.0724473
"Leicester City"	0.0723735
Xin	0.0717492
"Crystal Palace"	0.0715424
Lecce	0.0714868
"Bayi Rockets"	0.0707399
Serna	0.0703487
"Nottingham Forest"	0.0701901
Hua	0.0700299
Likhovtseva	0.0691619
"Blackburn Rovers"	0.0682184
Dragomir	0.0677818
minnow	0.0670896
Hongyuan	0.0666917
"Olympique Marseille"	0.0660864
title-holder	0.0654581
Berasategui	0.0650399
Fulham	0.0643221
Andrei	0.0637698
Edberg	0.0633987
Espanyol	0.0633377
"Netherlands Antilles"	0.0616858
Lareau	0.0615195
Brondby	0.0614449
Kasparov	0.0614324
"Boca Juniors"	0.0611531
Panathinaikos	0.0608773
Auxerre	0.0608202
"Paris St Germain"	0.06068
Jing	0.0606098
Maribor	0.0602595
Empoli	0.0602065
titlists	0.0597108
JONAS	0.0588704
Kan	0.0585911
Hainiu	0.058581
Schalken	0.0581867
Venezia	0.0578697
Alaves	0.0578692
Stoltenberg	0.0577835
Farina	0.0577167
Duisburg	0.0572043
"Beijing Ducks"	0.0570558
Obilic	0.0569027
Freiburg	0.0567435
corinthian	0.0564631
FC	0.0561026
Cedric	0.0560155
"American Michael Chang"	0.0559448
Valladolid	0.0556084
"Nicole Pratt"	0.0555415
Perugia	0.0552549
Benfica	0.0549474
"Derby County"	0.0547236
Vicenza	0.0544019
Pavel	0.0542209
Rostock	0.0541102
"Leeds United"	0.0540359
Luton	0.053403
Lapentti	0.053397
Jonsson	0.0533934
"Liaoning Hunters"	0.0528542
Caen	0.0528508
"South China"	0.052603
Susanti	0.052405
Villareal	0.0523158
Anderlecht	0.052194
Graz	0.052078
"Borussia Moenchengladbach"	0.0519874
"Real Sociedad"	0.0519689
Sevilla	0.0519403
Tong	0.0515429
"Colo Colo"	0.0510777
Metz	0.0504602
Raoux	0.0502849
Udinese	0.0501049
"Deportivo Coruna"	0.0498986
Wilander	0.0498721
Independiente	0.0496408
Piacenza	0.0495742
Dosedel	0.0494154
Tarango	0.0493956
"VfB Stuttgart"	0.049341
Porto	0.0490455
"Calgary Flames"	0.0490425
Wolfsburg	0.0487833
"Shanghai Sharks"	0.0487758
Elena	0.0484846
Arazi	0.0483717
"Red Star"	0.0482326
Galatasaray	0.0482152
Flamengo	0.0480893
Middlesbrough	0.0480715
"Joannette Kruger"	0.0479367
Gremio	0.0476441
"River Plate"	0.0476058
Kashima	0.0475567
Rennes	0.0473906
"Bjorn Borg"	0.0472264
Shriver	0.0471962
"Paul Goldstein"	0.0470803
Daiei	0.0470629
"San Lorenzo"	0.0469096
"CHARLOTTE STING"	0.0468164
Vitesse	0.0467725
"Steve Campbell"	0.0467402
Rosenborg	0.0466907
"VfL Wolfsburg"	0.0466874
"Tottenham Hotspur"	0.0465422
Stolle	0.0464995
Internazionale	0.0463488
Stefan	0.0463275
"Celta Vigo"	0.0463067
Spartak	0.046015
"Schalke @@"	0.0460117
"Javier Sanchez"	0.0458163
Coventry	0.0457747
Charleroi	0.0457564
Dortmund	0.045731
Napoli	0.0451975
pacesetter	0.045145
"Athletic Bilbao"	0.0451071
Bruguera	0.0450904
Charlton	0.0450473
Vitoria	0.0449878
Safin	0.0446682
AEK	0.0445662
Ju	0.0444944
"West Ham United"	0.0444808
"LA Lakers"	0.0444753
Fenerbahce	0.0444358
Tottenham	0.0444327
tiebreak	0.0443391
Leverkusen	0.0443259
"Shandong Flaming Bulls"	0.0443037
"Slovak Republic"	0.044131
Meligeni	0.0440025
"Gianluca Pozzi"	0.0437301
Cruzeiro	0.0436239
Schalke	0.0435371
Fushun	0.0435209
Oviedo	0.0434487
Damm	0.0433471
Sampdoria	0.0430699
Woodruff	0.0429851
Richey	0.0429083
Nan	0.0428897
"Jubilo Iwata"	0.0428147
Sunderland	0.0427364
Lucic	0.0426592
Testud	0.0422759
Penarol	0.0422609
Abdul	0.0422264
"West Ham"	0.0421804
"Kenneth Carlsen"	0.0421779
Haarhuis	0.0421062
"Real Betis"	0.0418401
Jansher	0.0416697
"Newcastle United"	0.0412803
Prinosil	0.0412404
"Scott Draper"	0.0410086
"half time"	0.040939
Dundee	0.0408427
Larsson	0.0406727
Feyenoord	0.0405598
Alonso	0.0405418
Kaiserslautern	0.0404485
"PSV Eindhoven"	0.0402689
Leicester	0.0402203
"Sebastien Grosjean"	0.0401087
"Brett Steven"	0.0401074
Brandi	0.040097
Zaragoza	0.0400341
Olympiakos	0.0400273
))
("Beijing Municipal Committee" (desc 1568.07) (sims
"Central Commission for Discipline Inspection"	0.33422
"Eighth National Committee"	0.260998
"Ninth National Committee"	0.237249
"Publicity Department"	0.231413
"Organization Department"	0.186396
"Central Committee"	0.185545
"CPC Central Commission for Discipline Inspection"	0.180793
"United Front Work Department"	0.180127
"National Committee"	0.177712
"Political Bureau"	0.176652
"Propaganda Department"	0.167454
CMC	0.163753
"Central Military Commission"	0.163167
"Party School"	0.16241
"Third Plenary Session"	0.145469
"State Peace and Development Council"	0.141415
"State Law and Order Restoration Council"	0.140832
"International Department"	0.13961
"CPPCC National Committee"	0.131532
"National Congress"	0.129622
"Plenary Session"	0.126062
"All-China Youth Federation"	0.123855
"Chinese People's Political Consultative Conference"	0.12281
"CPC Central Committee"	0.117652
"Third Plenum"	0.116372
"China Central Committee"	0.106342
"Chinese Communist Party Central Committee"	0.10044
"vice- chairman"	0.100092
vice-chairperson	0.0992244
"military commission"	0.097306
"National People's Congress"	0.0965746
vice-chairwoman	0.0962741
"Russian Security Council"	0.0917511
"Department of Environment"	0.0858433
"Chinese Olympic Committee"	0.0848313
SPDC	0.0847425
"Culture Ministry"	0.0838542
"standing committee"	0.0838052
"Communist Party of China"	0.0837439
"Ninth CPPCC National Committee"	0.0809647
"Political Consultative Conference"	0.0805757
"All-China Federation"	0.0805105
"Dai Bingguo"	0.078717
"Ministry of Education"	0.0779733
"Ministry of Trade"	0.0764633
"Communist Youth League of China"	0.0761667
"Congressional Black Caucus"	0.075627
"Ministry of Energy"	0.0721927
"Foreign Relations"	0.0718859
"National Tourism Administration"	0.0710102
"Ministry of Trade and Industry"	0.0705429
"China Association for Science"	0.0699977
"Housing Authority"	0.0699534
"Independent National Electoral Commission"	0.0694955
"Ministry of Communications"	0.0693894
crystallization	0.0692343
"Central Council"	0.068733
"Organizing Committee"	0.0683899
Politburo	0.0680216
"Department of Housing and Urban Development"	0.0677198
"National League for Democracy"	0.0676236
CPPCC	0.0670882
"China National Tourism Administration"	0.066947
"Department of Finance"	0.0667875
"Taiwan Affairs Office"	0.0666056
"State Family Planning Commission"	0.0660442
"Fourth Session"	0.0660396
"NPC Standing Committee"	0.0657116
"United Democratic Movement"	0.0655637
"Democratic Unionist Party"	0.0653172
"CPC National Congress"	0.0648642
"Ministry of Interior"	0.0647175
CIRC	0.064222
"Executive Committee"	0.0639351
"Deng Xiaoping Theory"	0.0639117
"Home Ministry"	0.0638593
vice-chairmen	0.0637932
"Zeng Qinghong"	0.0626586
"China Securities Regulatory Commission"	0.0617854
"China Council"	0.0615128
"Fifth Session"	0.060898
"Indonesian Armed Forces"	0.0607305
"planning commission"	0.0604449
"United National Independence Party"	0.0599339
"International Society"	0.059716
"Housing and Urban Development"	0.0596289
"Defense William Cohen"	0.0588707
"Ministry of Culture"	0.058763
"Chinese Communist Party"	0.0581025
"PLO Executive Committee"	0.0580569
"US State Department"	0.0579389
"People's Democratic Party"	0.0577384
"Palestine National Council"	0.0577146
"Board of Investment"	0.0576054
"Provisional Ruling Council"	0.0575305
MPLA	0.057475
"Zhongshan University"	0.05726
"Palestinian National Council"	0.0572062
"Jiang Zemin"	0.0570098
"Olympic Committee"	0.0566153
"Congress Standing Committee"	0.0565315
"Revolutionary Command Council"	0.0564095
"Banking Committee"	0.0564045
"General Committee"	0.0562429
"Foreign Affairs Committee"	0.0560573
"Ministry of Railways"	0.0559468
"Securities Industry Association"	0.0557612
ACFTU	0.0557503
"State Administration of Internal Trade"	0.0556354
"Congress (NPC) Standing Committee"	0.0555472
NRM	0.0554406
"Department of Trade and Industry"	0.0552121
"Executive Board"	0.0548077
"Macao Government"	0.0545606
CSRC	0.0544527
"National Defense Commission"	0.054266
"Richard Blumenthal"	0.054023
"Department of Foreign Affairs"	0.053905
"Department of State"	0.0533972
"House Budget Committee"	0.0532727
"Civil Aviation Authority"	0.0529637
Presidium	0.0529489
"South Pacific Forum"	0.0528391
"Ministry of Tourism"	0.0523971
"Department of Public Safety"	0.0522348
"Thai Foreign Ministry"	0.0521544
"Wei Jianxing"	0.0519794
UNIP	0.0518653
SEF	0.0516315
"Hong Kong Federation"	0.0515828
"Ministry of Construction"	0.0515499
"First Session"	0.051287
"Kosovo Verification Mission"	0.0512726
"Hong Kong Tourist Association"	0.0512229
"Labour Party"	0.0512142
"U.N. Convention"	0.0511653
"Democratic Alliance"	0.0511501
"Atomic Energy Commission"	0.0511248
"Revolutionary Party"	0.0511124
"Guardian Council"	0.0508092
"Party Central Committee"	0.0506699
"Supreme Soviet"	0.0506024
"Provisional Urban Council"	0.0505916
"Palestinian Liberation Organization"	0.0504433
"China Federation"	0.0503468
"Education Ministry"	0.0500788
"China Society"	0.0500451
"Shanghai Municipal Government"	0.0498341
"Kenya African National Union"	0.0495632
RRA	0.0493494
"Inter-Governmental Authority on Development"	0.0493034
"House International Relations Committee"	0.0491261
IGC	0.0489774
"Russian Communist Party"	0.048888
"Business Council"	0.0488878
"Socialist Party"	0.0486826
"Foreign Affairs Office"	0.0485205
"Olympic Council of Asia"	0.0482765
"Overseas Chinese"	0.0480356
"Council of Economic Advisers"	0.0479983
"Nevada Athletic Commission"	0.0478799
"Ministry of Transport"	0.0477947
"Human Rights Commission"	0.0477524
"Liberation Movement"	0.0477122
"Council of State"	0.0475147
"Department of Environmental Protection"	0.0474978
AmCham	0.0473502
"Senate Armed Services Committee"	0.0469767
"Rules Committee"	0.0468492
"National Police"	0.0467955
"Zimbabwe African National Union-Patriotic Front"	0.0467803
"Commerce Ministry"	0.0465239
"New Korea Party"	0.046516
"Christian Democratic Union"	0.0464176
"Vietnamese Communist Party"	0.0463408
"Baath Party"	0.0463239
plenum	0.046236
"Lebanese Hezbollah"	0.0461767
Lakas-NUCD	0.0460082
"National Council"	0.0459422
"Ding Guangen"	0.0459329
"Commerce Committee"	0.0458712
"Ministry of Information"	0.0458388
"China Youth Development Foundation"	0.0457148
"planning board"	0.0456213
PCF	0.0455926
Venecia	0.0455371
"Straits Exchange Foundation"	0.04548
"federal department"	0.0452391
"Osman Ali Atto"	0.0451596
"Mike Leavitt"	0.0450529
"Golkar Party"	0.0450316
"Cambodian People's Party"	0.0449749
"Air Line Pilots Association"	0.0447802
"Special Administrative Region"	0.0443728
"Ways and Means Committee"	0.0440647
"Likud Party"	0.0439582
"International Association of Machinists"	0.0439274
"Association for Relations Across"	0.0436264
"control board"	0.0435733
))
("Beijing Municipal Government" (desc 1770.06) (sims
"Association for Friendship"	0.19716
"Ministry of Personnel"	0.197048
"State Administration of Cultural Heritage"	0.191746
"Shanghai Municipal Government"	0.18869
"State Education Commission"	0.187883
"Ministry of Culture"	0.181192
"All-China Journalists Association"	0.178573
"municipal government"	0.176367
"State Development Planning Commission"	0.174424
"State Planning Commission"	0.168738
"Ministry of Science"	0.167225
"Ministry of Civil Affairs"	0.161182
"All-China Youth Federation"	0.159029
"Ministry of Education"	0.153769
"China Society"	0.152923
"China Council"	0.15204
"Ministry of Information Industry"	0.151242
"Ministry of Foreign Trade and Economic Cooperation"	0.147866
"China Association for Science"	0.14773
MOFTEC	0.144308
"Civil Aviation Administration of China"	0.141275
"State Science and Technology Commission"	0.138744
"State Forestry Administration"	0.136041
SDPC	0.135927
"All-China Federation"	0.135523
"Ministry of Posts"	0.135522
"State Economic and Trade Commission"	0.134553
"Ministry of Finance"	0.133613
"China National Tourism Administration"	0.133268
"Ministry of Agriculture"	0.133053
"Taiwan Affairs Office"	0.131679
"State Administration of Foreign Exchange"	0.131547
"Central Committee"	0.130962
ACWF	0.130498
"Ministry of Public Security"	0.129137
"China Securities Regulatory Commission"	0.127146
"Ministry of Communications"	0.126787
"State Environmental Protection Administration"	0.125751
"Ministry of Foreign Trade"	0.123957
"United Nations Industrial Development Organization"	0.123691
"China Youth Development Foundation"	0.122964
"Ministry of Public Health"	0.122505
"Ministry of Justice"	0.121235
"National Tourism Administration"	0.121235
"Ministry of Internal Trade"	0.119561
"Ministry of Water Resources"	0.117574
"Ministry of Construction"	0.117004
ACFTU	0.116585
"Ministry of Railways"	0.115293
"Chinese government"	0.115146
"National Committee"	0.114908
"Commission on Presidential Debates"	0.112974
"NPC Standing Committee"	0.112185
"Chinese Academy of Sciences"	0.111435
"Ministry of Labor"	0.109815
"State Council"	0.109741
"General Administration of Customs"	0.107623
"Ministry of International Trade and Industry"	0.106893
"King Bhumibol Adulyadej"	0.104824
"Chinese Foreign Ministry"	0.103927
"Xinhua News Agency Hong Kong Branch"	0.103881
"United Front Work Department"	0.103717
"Ministry of Health"	0.102325
"Public Security Ministry"	0.102216
"State Administration for Industry"	0.101783
"Macao Government"	0.10046
"China Central Television"	0.100097
BOI	0.0997849
"State Bureau of Cultural Relics"	0.099662
"Information Office"	0.0994439
MII	0.0987713
"planning commission"	0.0986284
"Chinese Olympic Committee"	0.0985073
"United Nations Educational, Scientific and Cultural Organization"	0.0982679
"Bank of China"	0.0965759
"Board of Investment"	0.0959344
"local government"	0.0945927
"Olympic Council of Asia"	0.0945569
"Ministry of Forestry"	0.0940531
CPAFFC	0.093856
"Hong Kong Federation"	0.0935469
CSRC	0.0935315
"CPPCC National Committee"	0.0928672
"Organization Department"	0.0907316
"Education Ministry"	0.0902132
"Economic Cooperation"	0.090136
"International Department"	0.0899467
"U.S. Soccer Federation"	0.0898097
"China Federation"	0.0895331
"Asian Development Bank"	0.0875112
"Ministry of Supervision"	0.0859335
"Tang Jiaxuan"	0.0856487
"Beijing University"	0.0855989
"Chinese Communist Party Central Committee"	0.0854046
"Badminton Association of Indonesia"	0.0853252
"Ministry of Planning"	0.0852178
CMC	0.0848731
"Hong Kong Monetary Authority"	0.0846678
ARATS	0.0846287
CAAC	0.0845456
"General Political Department"	0.0844296
"State Bureau of Environmental Protection"	0.0843161
"Central Military Commission"	0.0841518
"Inter-American Development Bank"	0.083951
"Central Government"	0.0837301
"U.S. Environmental Protection Agency"	0.0836823
"Agriculture Ministry"	0.0831067
"Inter-Parliamentary Union"	0.0824023
"Academy of Motion Picture Arts"	0.0817295
"World Intellectual Property Organization"	0.0814727
"Tourism Authority of Thailand"	0.0813478
"United States government"	0.0804549
"Red Cross Society"	0.0801979
CCPIT	0.0800627
"Asia Society"	0.0800485
"Commercial Bank of China"	0.0793801
"Ministry of Industry"	0.0788391
"Central Commission for Discipline Inspection"	0.0788085
"World Tourism Organization"	0.0786671
"Chinese State Council"	0.0780279
"Economic Commission for Africa"	0.0776114
"Health Ministry"	0.0774827
"Ford Foundation"	0.0774225
"Association for Relations Across"	0.0773219
"China National Petroleum Corporation"	0.0769921
"Canadian International Development Agency"	0.0766896
"Joint Liaison Group"	0.0764977
"Propaganda Department"	0.0762586
"Ministry of Foreign Affairs"	0.0752781
Procuratorate	0.075258
"Foreign Affairs Committee"	0.0751931
"Texas Legislature"	0.074379
"State Administration of Taxation"	0.0742429
"Standard Chartered Bank"	0.073902
"standing committee"	0.0733407
CIRC	0.0728321
CAS	0.0727445
"Development Research Center"	0.0726832
"North Atlantic Council"	0.0721456
"International Federation"	0.072122
"CPC Central Committee"	0.0720811
"Environmental Protection Agency"	0.0717678
"Israeli Foreign Ministry"	0.0717459
"Russian Defense Ministry"	0.0713919
CNTA	0.0713106
"International Amateur Athletics Federation"	0.0710203
"State Flood Control"	0.0707504
"Global Environment Facility"	0.0705355
"United Nations Conference on Trade and Development"	0.0704887
"U.S. Treasury Department"	0.0704597
"European Space Agency"	0.0702647
SPC	0.0702608
"State Development Bank"	0.0700043
"Publicity Department"	0.0698558
"Kenya African National Union"	0.0692456
"National Electoral Commission of Nigeria"	0.0688259
SPP	0.0685192
"International Maritime Organization"	0.0684485
UNESCO	0.068209
"Executive Committee"	0.068023
"General Committee"	0.0678115
"Department of Trade and Industry"	0.0676637
"China Southern Airlines"	0.0676454
"Foreign Ministry"	0.0674601
"Hong Kong Trade Development Council"	0.0672954
"Arab League"	0.0672715
"Goh Chok Tong"	0.0667645
"Agricultural Bank of China"	0.0665863
"Department of Commerce"	0.0665515
Ribbeck	0.0665286
"South Pacific Forum"	0.0664074
"Chinese Society"	0.0663619
"Israeli Cabinet"	0.066207
"Chinese Academy of Engineering"	0.0661373
"Kenyan Government"	0.0658763
"U.N. Development Program"	0.0652408
"Party Central Committee"	0.0651843
"Construction Bank of China"	0.0651371
"Finance Ministry"	0.0651094
"Labor Ministry"	0.0649364
IGAD	0.064929
"State Administration of Internal Trade"	0.064864
"International Finance Corporation"	0.0645497
"Second Session"	0.0644608
"National Abortion and Reproductive Rights Action League"	0.0643617
UNICEF	0.0640666
"Mark Foley"	0.0640397
ICBC	0.0639194
"Information Ministry"	0.0638433
ADB	0.0638326
HKFA	0.0638024
"Xinhua News Agency"	0.0637495
"Transport Ministry"	0.0635064
"American Medical Association"	0.0634319
"Commission on Elections"	0.0633804
"Consumer Product Safety Commission"	0.0632017
"European Commission"	0.0631117
"Nuclear Regulatory Commission"	0.0631113
UNDCP	0.0630705
"Philippine Central Bank"	0.0630265
))
("Beijing Opera" (desc 1865.15) (sims
"Peking Opera"	0.29838
acrobatics	0.131227
"martial art"	0.116319
"folk dance"	0.109213
"modern dance"	0.105502
ballet	0.0974349
mime	0.0967095
"song and dance"	0.0960227
"ballroom dancing"	0.0951413
puppetry	0.0946009
striptease	0.0942658
"folk music"	0.093548
trapeze	0.0931243
"musical performance"	0.0886795
"spoken word"	0.0881016
"musical theater"	0.0838517
operetta	0.0835866
"chamber music"	0.0833503
"folk art"	0.0788058
hammy	0.0783237
calypso	0.0757203
"puppet show"	0.0750328
"Royal Shakespeare Company"	0.0735225
"musical comedy"	0.0704434
cirque	0.0697124
improv	0.069565
Spoleto	0.0685903
cabaret	0.068318
Riverdance	0.0683107
Bayreuth	0.067803
Haj	0.067436
"opera company"	0.0643242
Showboat	0.0638345
"folk song"	0.0635835
Opry	0.062988
"Home Run Derby"	0.0629585
"Roundabout Theater Company"	0.0629557
"Vienna Philharmonic"	0.0622122
Motown	0.0607413
"high wire"	0.0599553
karaoke	0.0594301
voiceover	0.0593637
Qigong	0.0586975
bluegrass	0.0584221
sub-par	0.0576662
origami	0.0576457
Putonghua	0.0575627
special-teams	0.0573737
Wushu	0.0572473
"variety show"	0.0569404
"Ballet Theater"	0.0567563
"Peony Pavilion"	0.0558282
capella	0.0552733
vaudeville	0.0549201
trampoline	0.0547246
Salome	0.0545418
flamenco	0.0540079
Fillmore	0.0537752
Iger	0.0533484
militarism	0.0531165
"fine arts"	0.052942
Flemish	0.0526788
voice-over	0.0522653
"chain gang"	0.0519917
"Passion play"	0.051868
Bolshoi	0.0516097
pantomime	0.0514467
artiste	0.0512797
"True West"	0.0512193
rhythm-and-blues	0.0510151
"Gilbert and Sullivan"	0.0508463
"Don Juan"	0.0507871
Puente	0.0504265
"ballet company"	0.0504037
OS/@	0.0503583
Mahler	0.0503456
"Night Live"	0.0503118
"Kung Fu"	0.0501877
"theatrical performance"	0.0498846
Hula	0.0495545
calligraphy	0.049139
oratorio	0.0487054
"Double Jeopardy"	0.0486993
creationism	0.0484936
"Martha Graham"	0.0484021
"classical music"	0.0481458
shui	0.0480621
"Royal Ballet"	0.0480171
handicraft	0.0480075
"film industry"	0.0479678
"musical instrument"	0.0478866
"East African Community"	0.0478259
"Third Watch"	0.0478167
"Grand Ole Opry"	0.0477219
rainout	0.0471949
"dance band"	0.047188
"popular music"	0.0471772
"motion picture"	0.0470604
"New York City Opera"	0.0468117
theatre	0.0468024
"American Ballet Theater"	0.0467973
"written language"	0.0467253
"James Levine"	0.0466755
Porgy	0.0463816
top-class	0.0463554
"Jekyll and Hyde"	0.0463272
"fine art"	0.0462693
"NYPD Blue"	0.0460642
"Horse Whisperer"	0.046045
Oktoberfest	0.0458894
anime	0.0458422
"computer graphics"	0.0456963
Bambi	0.0456094
recital	0.0454438
"big band"	0.0454333
flogging	0.0454055
"City Ballet"	0.0449867
"Silk Road"	0.0449673
Gymnastics	0.0449423
trash-talking	0.0447462
mammography	0.0444762
e-BOOKS	0.0444679
"Rick Neuheisel"	0.0444224
"Belmont Learning Center"	0.0444073
Asian-American	0.0443555
Soleil	0.0442794
techno	0.044182
"religious ceremony"	0.0439446
"belly dancer"	0.0438685
mountaineering	0.0437419
"Potsdamer Platz"	0.0437146
rejoicing	0.0435558
"Asian American"	0.0433485
samba	0.0433012
"Star Trek"	0.0432672
"jazz band"	0.0431829
tightrope	0.0431332
haiku	0.0431085
encore	0.0429659
minstrel	0.0428956
merengue	0.0428774
"German language"	0.0428199
"world premiere"	0.0427793
"Tommy Bowden"	0.0427333
"general knowledge"	0.0426012
"situation comedy"	0.0425971
Z@@	0.0424245
halfpipe	0.0423502
DIVX	0.0421759
"Annie Get Your Gun"	0.042032
bathing	0.0419641
aerobics	0.0418875
blackface	0.041764
knitting	0.0417029
"Potala Palace"	0.0416708
"Kennedy Center"	0.0416413
"Music Man"	0.0413552
Muppets	0.0412865
Gong	0.041211
"comic strip"	0.0411052
"pop music"	0.0410245
Kirov	0.0409227
Nicol	0.0407639
"New Zealand First"	0.0406846
MP@s	0.040606
"Ideal Husband"	0.0405069
Amadeus	0.0404678
"American plane"	0.0404075
slam-dunk	0.0403522
"City Opera"	0.0403343
Arista	0.040269
"liberal arts"	0.0401501
))
("Beijing University" (desc 12833.9) (sims
"Qinghua University"	0.319319
"Fudan University"	0.262575
"Peking University"	0.219377
"Chinese Academy of Social Sciences"	0.189986
"Nanjing University"	0.175094
"Brown University"	0.174309
"Howard University"	0.170993
"Zhejiang University"	0.163457
"Nankai University"	0.161762
"Stanford University"	0.161324
"University of China"	0.157836
"University of California"	0.157615
"University of Wisconsin"	0.157497
"Chinese University of Hong Kong"	0.157481
"Chinese Academy of Sciences"	0.156732
university	0.156069
"New York University"	0.156016
"Massachusetts Institute of Technology"	0.153094
"University of Chicago"	0.152727
"Dartmouth College"	0.151691
"Columbia University"	0.150695
"Yale university"	0.149912
"Harvard University"	0.149846
"American University"	0.148648
"Georgetown University"	0.145114
"Cornell University"	0.141753
"Yale Law School"	0.14122
"University of Maryland"	0.138559
"Michigan State University"	0.138054
"Princeton University"	0.137392
"Harvard Business School"	0.136865
"George Washington University"	0.134986
"University of Illinois"	0.13457
"Smith College"	0.13132
"Zhongshan University"	0.130971
"Oxford University"	0.130853
Beida	0.13081
"Williams College"	0.130419
"University of Michigan"	0.130407
"City College"	0.129494
"Boston University"	0.128974
"University of Massachusetts"	0.128964
"University of Texas"	0.128957
MIT	0.127004
"California State University"	0.126538
"Northwestern University"	0.125427
"University of Georgia"	0.125086
"University of Hong Kong"	0.122734
"Emory University"	0.122252
"Rutgers University"	0.121664
institute	0.121326
"University of Zimbabwe"	0.121061
"Iowa State University"	0.120727
"University of Virginia"	0.117925
Harvard	0.1178
"Syracuse University"	0.117723
"Johns Hopkins University"	0.117408
"Fordham University"	0.117209
CAS	0.115807
"Southern Methodist University"	0.115473
"Duke University"	0.113877
"Ohio State University"	0.11357
"University of South Carolina"	0.113048
"University of Southern California"	0.112808
"University of Minnesota"	0.112634
"Northeastern University"	0.112616
"University of Pennsylvania"	0.112299
"Hebrew University"	0.111839
"North Carolina State University"	0.111763
"Harvard Law School"	0.111727
"University of Rochester"	0.111672
"Chinese Academy of Engineering"	0.109814
"Indiana University"	0.109295
"Brandeis University"	0.108563
"Vanderbilt University"	0.107542
"Amherst College"	0.107363
Yale	0.106503
"University of Washington"	0.106388
"State University of New York"	0.106271
"University of Kansas"	0.106226
"University of New Mexico"	0.105216
"Texas Christian University"	0.104603
"University of Toronto"	0.104384
"Cambridge University"	0.103689
"Tehran University"	0.103589
"Arizona State University"	0.102705
"University of Alabama"	0.102405
"University of North Carolina"	0.102077
"University of New Hampshire"	0.101888
"Wesleyan University"	0.101165
"London School of Economics"	0.100807
"Florida State University"	0.0983396
"Brigham Young University"	0.097255
"University of Colorado"	0.0969492
"University of Wyoming"	0.0966002
"business school"	0.0965245
"Bob Jones University"	0.0957394
"military academy"	0.0954448
Qinghua	0.0953412
"University of Notre Dame"	0.0951952
"Tufts University"	0.0949848
"University of Florida"	0.0949329
Cornell	0.0947579
"Rice University"	0.0934616
"Baylor University"	0.0932191
"San Francisco State University"	0.0922841
College	0.0922808
"Harvard College"	0.0920938
"University of Arizona"	0.092018
"UC Berkeley"	0.091855
"University of Pittsburgh"	0.091805
seminary	0.0901298
"Barnard College"	0.0896351
"U.S. Naval Academy"	0.0895995
"University of Utah"	0.0891529
"University of Iowa"	0.0890227
"University of Maine"	0.0888706
Princeton	0.0879012
CPAFFC	0.0878432
"Hofstra University"	0.0871241
"University of Miami"	0.0862289
"Queens College"	0.0860027
"law school"	0.0859449
"Makerere University"	0.0858978
"Kansas State University"	0.0857999
"Beijing Municipal Government"	0.0855989
"California Institute of Technology"	0.0847164
Dartmouth	0.0845691
"Palace Museum"	0.0844734
"George Mason University"	0.0844466
"Hunter College"	0.0842097
Sorbonne	0.0837091
"National Autonomous University"	0.0836296
"Washington State University"	0.0829582
"College of Charleston"	0.0820142
"school of law"	0.0818819
"Pennsylvania State University"	0.0818427
"University of Arkansas"	0.0816088
"middle school"	0.0813531
Oxford	0.0811753
academy	0.081046
"Harvard Medical School"	0.080165
"Colorado State University"	0.0798584
"China National Petroleum Corporation"	0.0792876
Vassar	0.0784799
"University of Cincinnati"	0.0782253
"Carnegie Mellon University"	0.0782089
"Ministry of Information Industry"	0.078195
"Boston College"	0.078187
"Purdue University"	0.0773473
"Washington University"	0.0764593
"Georgia State University"	0.0763808
"Harvard School of Public Health"	0.0763265
"Louisiana State University"	0.0761395
"Temple University"	0.0759422
"teachers college"	0.0759323
"University of Tennessee"	0.0759077
"secondary school"	0.0752754
"Rockefeller University"	0.0752478
"Museum of Chinese History"	0.0749125
"alma mater"	0.0746743
"University of Kentucky"	0.0742241
"American Enterprise Institute"	0.0741983
"Juilliard School"	0.0736231
"State Education Commission"	0.0735352
"Development Research Center"	0.0734498
"University of Missouri"	0.0734074
"medical school"	0.0728166
"primary school"	0.0724797
"Party School"	0.0724625
"National Press Club"	0.0706575
"city university"	0.0705329
"community college"	0.0705322
"University of Dayton"	0.0705123
Berkeley	0.0701884
"University of Mississippi"	0.0699108
"vocational school"	0.0699084
"Industrial and Commercial Bank of China"	0.0696036
Stanford	0.0694065
"University of Houston"	0.0691753
"Wright State University"	0.0690448
"art school"	0.0689971
UT	0.0688215
"Ministry of Science"	0.0687166
"school of music"	0.0686701
"State Administration of Cultural Heritage"	0.0681369
NYU	0.0674052
"University of Nebraska"	0.0668965
Juilliard	0.0659064
UW	0.0658182
"Seton Hall University"	0.0653504
"State Development Bank"	0.0650187
"Bank of China"	0.0649558
"City University of New York"	0.0647788
"Brookings Institution"	0.0647535
"University of Connecticut"	0.0645432
"air force academy"	0.0644326
"National Autonomous University of Mexico"	0.0642809
ICBC	0.0640552
"National Library"	0.0638541
))
("Beijing Youth Daily" (desc 1609.09) (sims
"China Youth Daily"	0.249578
"International Business Daily"	0.221271
"Economic Daily"	0.171846
"Beijing Daily"	0.169881
"Tehran Times"	0.152049
"Sydney Morning Herald"	0.151458
MTI	0.149424
"Kenya Times"	0.143019
"Guangming Daily"	0.138932
"Egyptian Gazette"	0.135906
"Daily Times"	0.135115
"National Association of Realtors"	0.134951
"Macao Daily News"	0.133573
Notimex	0.132514
"New Light"	0.131386
WAM	0.129408
"Iran News"	0.128948
"Moscow Times"	0.127948
"U.S. Labor Department"	0.126495
"Ethiopian Herald"	0.125412
"Business Times"	0.124405
"South China Morning Post"	0.123446
"Wenhui Daily"	0.122342
Antara	0.119936
"China Daily"	0.119922
"China Daily Business Weekly"	0.119153
"Ghana News Agency"	0.118967
"Business Weekly"	0.117257
"Daily Star"	0.116763
"Straits Times"	0.116022
Angop	0.115463
Noticias	0.114666
"Vietnam News"	0.113247
"Saudi Press Agency"	0.113147
"Kyodo News"	0.112533
"Kathmandu Post"	0.112059
RSS	0.109866
"Jordan Times"	0.109775
"Indonesian Observer"	0.108492
BS	0.1081
Ansa	0.107815
Al-Ahram	0.106482
"Thai News Agency"	0.106319
"Cyprus News Agency"	0.106241
"New Vision"	0.105605
KPL	0.105128
"Al Hayat"	0.105032
"Zambia News Agency"	0.103665
"Jerusalem Post"	0.103433
Jana	0.10278
"Associated Press of Pakistan"	0.101785
"Jakarta Post"	0.101638
"Yomiuri Shimbun"	0.101094
"Egyptian Middle East News Agency"	0.100862
NHK	0.100791
Kommersant	0.100748
"Vietnam News Agency"	0.100637
Tass	0.0990596
Bernama	0.0983567
Maariv	0.098286
"Asahi Shimbun"	0.09826
"Daily Nation"	0.0980213
"Gulf News"	0.0974377
"Zambia Daily Mail"	0.0974034
"Southern African Broadcasting Association"	0.0973454
"United Press International"	0.0967677
"News Agency of Nigeria"	0.0964401
"Kyodo News Service"	0.0942361
"Rwanda News Agency"	0.094225
"Agence France Presse"	0.0941688
"Korean Central News Agency"	0.0940122
Lusa	0.0929917
"Financial Times"	0.0926133
"Bangkok Post"	0.0923369
"Turkish Daily News"	0.0917642
"Radio Uganda"	0.0913543
"Athens News Agency"	0.0909516
"New Straits Times"	0.0907752
Tanjug	0.0900139
"Daily Telegraph"	0.0899633
"Philippine News Agency"	0.0899139
"press agency"	0.0895985
"Xinhua News Agency"	0.0891869
"El Pais"	0.0885141
"Iraqi News Agency"	0.0879052
Reforma	0.0876603
"Kuwait News Agency"	0.0871175
"Le Monde"	0.0862322
IRNA	0.086212
"Denver Post"	0.0860998
"Al Ahram"	0.0860157
"Islamic Republic News Agency"	0.0859302
"New Nigerian"	0.0855101
"Ethiopian News Agency"	0.0847973
"Der Spiegel"	0.0845952
"Yediot Ahronot"	0.0840311
Politika	0.0831662
Salam	0.0830089
"El Mundo"	0.0825246
"Anatolia News Agency"	0.0824918
"Bureau of Labor Statistics"	0.0822815
"Alam Al Yom"	0.0822302
"Nihon Keizai Shimbun"	0.0822203
"Middle East News Agency"	0.0820613
Petra	0.0819561
"Jerusalem Media and Communication Center"	0.0817891
"Dallas Morning News"	0.081748
"Conference Board"	0.0811996
"Rodong Sinmun"	0.0806183
"Nihon Keizai"	0.0800984
ATA	0.0792741
"Information Center"	0.0791136
"Australian Associated Press"	0.0791043
"Daily News"	0.0790606
Haaretz	0.0786707
Granma	0.0785452
"Statistics Canada"	0.0781008
"Press Trust of India"	0.0777058
"Business Day"	0.0773837
"Israel Radio"	0.0759379
"Dow Jones Newswires"	0.0756452
Anatolia	0.0754325
"Nhan Dan"	0.0753991
"British Broadcasting Corporation"	0.0752659
KUNA	0.0750477
"Zimbabwe News Agency"	0.0747285
CNA	0.0742833
Yomiuri	0.0742459
"Washington Post"	0.0740982
"East African"	0.0735928
"Kosovo Information Center"	0.0734429
"Los Angeles Times"	0.0720679
Asahi	0.0719028
Eurostat	0.0718137
Dataquest	0.0710739
Kyodo	0.0710361
"East African Standard"	0.0703733
"Advertising Age"	0.0699703
"Information Center of Human Rights"	0.069365
Izvestia	0.0690847
"administration official"	0.0689543
"Wall Street Journal"	0.0680816
TT	0.0677485
"Seattle Times"	0.0675285
RNA	0.0671987
APA	0.0666996
"Evening Standard"	0.0666084
NTV	0.0663111
"St. Louis Post-Dispatch"	0.0660215
"Antara News Agency"	0.0654942
"The New Vision"	0.0653414
telegraph	0.0651778
Itar-Tass	0.064953
Chao	0.0645829
"Detroit News"	0.0645083
"Khaleej Times"	0.0639929
"Orange County Register"	0.06391
"Central Bureau of Statistics"	0.0636809
AFP	0.0636393
"Financial Mail"	0.0636214
"IMS Health"	0.0635181
Sowetan	0.0634958
ABS-CBN	0.0630441
al-Hayat	0.062011
"Post Express"	0.0619572
"Agence France-Presse"	0.0615922
Newsweek	0.0614928
"Cincinnati Enquirer"	0.0612064
shootaround	0.0610965
Cui	0.0603136
Post-Intelligencer	0.0603031
Malaya	0.0602217
"Press Trust"	0.0600749
"New England Journal"	0.0596539
"Koha Ditore"	0.0589646
beta	0.0588629
weigh-in	0.0585146
"San Antonio Express-News"	0.0583443
tribune	0.0582002
"Hartford Courant"	0.0578406
emachines	0.0578375
"Daily Mail"	0.0576858
"employment report"	0.0573731
Marinovich	0.0571799
SAPA	0.0571714
"New York Post"	0.0571566
Grunwald	0.0569533
MENA	0.0564292
"First Call/Thomson Financial"	0.0560823
"Washington Times"	0.0559613
"Detroit Free Press"	0.0554938
"Sears, Roebuck &AMP; Co."	0.0551
"Chicago Sun-Times"	0.0550194
INA	0.0547865
DNR	0.0545995
"National Post"	0.0545179
PTI	0.0542999
Hurriyet	0.0541304
"The Monitor"	0.0540437
L'Equipe	0.0540093
))
("Beijing Zoo" (desc 1526.24) (sims
zoo	0.1149
"Zoo Atlanta"	0.0863474
"National Zoo"	0.0791884
"Fort Dix"	0.0558338
arboretum	0.0544676
"Saratoga Springs"	0.0533531
"Yasukuni Shrine"	0.0522412
"Hyannis Port"	0.0496361
"Lambeth Conference"	0.0485333
Monticello	0.0473011
"Alamo Bowl"	0.0471319
silkworm	0.0453913
"Comiskey Park"	0.0451684
Soweto	0.0443634
"KwaZulu-Natal Province"	0.0443617
Hattiesburg	0.0440447
"World Petroleum Congress"	0.0438068
Versailles	0.0436936
Aberdeen	0.0433453
"Amherst College"	0.0423841
"military headquarters"	0.0422681
"Mount Carmel"	0.0417958
"Fort Bragg"	0.0409271
turbot	0.0406169
))
("Beijing-Kowloon Railway" (desc 1429.17) (sims
"railway line"	0.129177
"highway system"	0.113949
expressway	0.110951
"Erie Canal"	0.110356
"Huaihe River"	0.109074
"ring road"	0.103983
"trunk line"	0.100352
"Macao International Airport"	0.089326
"rail line"	0.0864022
waterworks	0.0769534
"Nenjiang River"	0.0746587
Xiaolangdi	0.0723675
"Silk Road"	0.0700531
"Kuala Lumpur International Airport"	0.0693255
"Gorges Dam"	0.0690105
"oil pipeline"	0.0689596
"Panama Canal"	0.0679868
"transmission line"	0.0678926
dyke	0.0677744
motorway	0.0674053
causeway	0.0673361
"first unit"	0.0656949
"Haihe River"	0.0652589
"power grid"	0.0631123
"Belmont Learning Center"	0.0620741
interchange	0.0617876
"Hong Kong International Airport"	0.0614766
"International Space Station"	0.0610456
"Pudong International Airport"	0.0609033
"oil refinery"	0.0601804
"Liaohe River"	0.0599958
"access road"	0.0599409
substation	0.0596801
cofferdam	0.0592977
"trade route"	0.0583634
"Pearl River"	0.0582917
"water plant"	0.0579559
incinerator	0.0571855
"Yellow River"	0.0568765
"Unit @"	0.0566952
"Scottish Parliament"	0.0557455
collider	0.055505
"Gorges Project"	0.0554041
viaduct	0.0550274
"Songhua River"	0.0548955
wharf	0.0547852
Nenjiang	0.0540985
"industrial park"	0.0537972
"Dongting Lake"	0.0528217
Parkway	0.0525981
flyover	0.0522654
footpath	0.0514071
"suspension bridge"	0.0508574
"Bay Bridge"	0.0504881
aorta	0.049361
"trunk road"	0.0491874
"demarcation line"	0.0484969
"Berlin Wall"	0.0484562
footbridge	0.0480744
"electric current"	0.0479107
"Route @"	0.0477076
"Multimedia Super Corridor"	0.0476081
"penal code"	0.0475036
"Demilitarized Zone"	0.0471582
MSC	0.0471082
CRI	0.0470689
"Suez Canal"	0.0468157
"U.S. Trust"	0.0464915
hydropower	0.0462124
"water project"	0.0460364
"railroad track"	0.0459389
"Via Dolorosa"	0.0458296
damming	0.0457805
AFTA	0.0455333
overpass	0.0454448
"Terminal @"	0.0449032
Pirelli	0.0447094
"Telecommunications Act"	0.0446794
"ASEAN Free Trade Area"	0.0446169
FTAA	0.0443825
"Horse Whisperer"	0.0443552
"Grand Canal"	0.0442139
"Suzhou Industrial Park"	0.0439745
"International Symposium"	0.0439023
buybacks	0.0436825
maneuvering	0.0435849
"two units"	0.0435146
culvert	0.0434685
monorail	0.0433814
"King Abdullah Bin Hussein"	0.0433806
"Dianchi Lake"	0.0429806
Minuet	0.0429061
"state highway"	0.0428411
"relay stations"	0.0426998
"New Carissa"	0.0425287
FTA	0.0422137
GEF	0.0422023
trestle	0.0420955
"Pacific Coast"	0.0420233
Cyberjaya	0.0419649
"Playstation II"	0.0418721
"Voting Rights Act"	0.0418664
"communications network"	0.0418647
"Interstate @@@"	0.0417473
ADSL	0.0416628
"Yangtze River Delta"	0.0416547
megaplexes	0.0414858
"power unit"	0.0413227
"Chek Lap Kok"	0.0412539
facelift	0.0411895
"Indian High Commission"	0.0410398
TAAS	0.0408285
"sense of shame"	0.0406392
NAFTA	0.040516
EPZ	0.0404737
rouble	0.0402923
"Appalachian Trail"	0.0402544
fact-finding	0.0401489
"National Grid"	0.0401178
dustup	0.0400749
"communication system"	0.0400028
))
(Beijingers (desc 3017.64) (sims
Ukrainians	0.15575
"Sri Lankans"	0.152926
urbanites	0.152797
holidaymaker	0.135895
Muscovite	0.12926
Ecuadoreans	0.12873
Quebecers	0.12753
Cambodian	0.126967
Mozambican	0.125171
mainlanders	0.123372
Filipino	0.122901
Tibetans	0.121959
Bosnians	0.120705
Liberian	0.111055
Burundian	0.110292
"temporary worker"	0.109638
Nicaraguan	0.108652
Peruvian	0.108155
Honduran	0.107664
Taiwanese	0.107568
"British people"	0.107532
Afghan	0.107308
Lebanese	0.106752
job-seekers	0.105238
partygoer	0.104953
Venezuelan	0.10427
centenarian	0.103465
Floridian	0.102416
Angolan	0.100844
Athenian	0.100737
Haitian	0.100582
Zimbabwean	0.100383
Singaporean	0.100079
Ethiopian	0.0991885
"American Jews"	0.0986979
Chinese-Indonesians	0.0981487
Ohioan	0.0979459
policyholder	0.0977553
Kenyan	0.0975709
Cypriot	0.0969453
"South Koreans"	0.0968874
examinees	0.0963983
Georgian	0.0958177
"home buyer"	0.095494
Colombian	0.0953213
Thai	0.0952312
Londoner	0.0952057
migrant	0.0949973
Tanzanian	0.0947953
Koreans	0.0945534
"San Franciscans"	0.094062
Zambian	0.0940452
Parisian	0.0934682
enlistee	0.0934255
Californian	0.0932537
Greeks	0.0929231
registrant	0.0926682
filmgoers	0.0925164
"Iraqi POWs"	0.0924818
Atlantans	0.092188
"East Timorese"	0.0921265
Ugandan	0.0919384
Iowan	0.091585
illegals	0.0915805
Vietnamese	0.0911724
worshipper	0.0908097
Minnesotan	0.0907241
reveler	0.0907074
Kuwaiti	0.0905416
Nepalese	0.0905301
armymen	0.0903416
Mexican	0.0902026
Cuban-Americans	0.0898504
evacuee	0.0896504
"Kosovo Serbs"	0.0894088
"AIDS patient"	0.0889329
Eritrean	0.088714
"college student"	0.0884782
"university student"	0.0881335
Jordanian	0.0881083
Nigerian	0.0876157
Indonesian	0.0873461
Asian-Americans	0.0873374
"stamp collector"	0.0873082
laborer	0.086677
Basques	0.0865468
"North Koreans"	0.0864134
non-Jew	0.0862509
weekender	0.0862017
Chechens	0.0861744
"Sierra Leonean"	0.086162
diabetic	0.086157
worshiper	0.0860622
herdsmen	0.0858278
Romanian	0.0855775
Moroccan	0.0855178
vacationer	0.085379
Briton	0.0853786
Moslem	0.0853114
homebuyers	0.0851637
onlooker	0.0851379
emigrant	0.0849259
subscriber	0.0848453
smoker	0.0847453
pilgrim	0.0847399
Turk	0.0843948
gamers	0.0843694
"European Jews"	0.083883
"Kosovar Albanians"	0.0838172
"business traveler"	0.0836907
Frenchmen	0.0834936
enumerators	0.0834227
Salvadoran	0.0834076
retiree	0.0831243
Latino	0.0828516
motorcyclists	0.0828413
laid-offs	0.0827797
"Albanian Kosovars"	0.0827165
"Asian Americans"	0.0827114
"job seeker"	0.0824566
expatriate	0.0824494
"South Carolinian"	0.0823751
Chilean	0.0821268
Egyptian	0.0819467
non-Muslims	0.0802605
Cuban	0.0800341
Brazilian	0.0796964
elector	0.0796851
protestor	0.0796657
concertgoers	0.0794616
commuter	0.0794439
Navajos	0.0793792
Malaysian	0.0793757
"New Zealander"	0.0792195
westerner	0.0785162
Bulgarian	0.078407
"senior citizen"	0.0782898
dieters	0.0782329
"African Americans"	0.0781967
sufferer	0.0780905
"drug addict"	0.0780599
Kosovars	0.0780432
"North Carolinian"	0.0779598
"New Englander"	0.0779237
shopper	0.0777297
respondent	0.0776484
Chinese-Americans	0.0775063
Iranian	0.0772283
probationer	0.0770113
traveler	0.0768408
"market watcher"	0.0767309
marcher	0.0765653
"Cuban Americans"	0.0765372
"census taker"	0.0765025
Pakistani	0.0764767
Bangladeshi	0.0761267
Buddhist	0.0760358
peasant	0.0757276
cardholders	0.0756551
"Israeli Arabs"	0.075027
schoolchildren	0.075007
exhibitor	0.0750031
"drug user"	0.0745388
businesspeople	0.0744185
moviegoer	0.0742628
"union member"	0.0741978
Montenegrins	0.0741941
stargazer	0.0741138
Hispanic	0.0739843
autoworkers	0.0737208
Guatemalan	0.0736165
"South African"	0.0736045
Texan	0.0735702
multinationals	0.0732022
Algerian	0.0731892
"Central American"	0.0731073
attendees	0.0729601
mourner	0.0727372
"skilled worker"	0.0727356
angler	0.0727102
dweller	0.0723562
Iraqi	0.0723415
Hungarian	0.0723352
soliders	0.0722125
spectator	0.0720766
Ghanaians	0.0719837
Kurds	0.0719444
postgraduate	0.0718943
reservist	0.0716438
"baby boomer"	0.0715595
"New York Republicans"	0.0714892
transnationals	0.071476
orphan	0.071475
townspeople	0.0713459
celebrant	0.0713255
follower	0.0712756
surfer	0.0709729
enrollee	0.0706449
depositor	0.0704282
"Kosovo Albanians"	0.0703282
))
(Beilin (desc 2154.14) (sims
Ruehe	0.187131
Velayati	0.160312
Mordechai	0.157565
Jayakumar	0.156882
"Yossi Beilin"	0.151783
Stoyanov	0.150752
Erekat	0.14904
Ikeda	0.145198
Ben-Ami	0.142403
Singson	0.14129
Advani	0.141158
Satcher	0.141157
Bustamante	0.14048
Kasoulides	0.140386
Orban	0.14032
Grachev	0.139925
Jovanovic	0.139722
Dini	0.13909
Siazon	0.137625
Shamshad	0.136805
Bildt	0.136723
Tarawneh	0.136281
Ecevit	0.135606
Sergeyev	0.13448
Kostov	0.134347
Shaath	0.133948
Moratinos	0.13361
Iliescu	0.133127
Kono	0.132286
Ikimi	0.131581
Zeng	0.13059
Nemtsov	0.130552
Azizah	0.129961
Surin	0.129696
Rifkind	0.129381
Granic	0.129265
"de Charette"	0.129016
Alatas	0.128381
Schuessel	0.127208
Hybl	0.127052
Scharping	0.126902
Chavalit	0.126316
Sharansky	0.125991
Zhirinovsky	0.12592
Aziz	0.125373
wen	0.124276
Abbas	0.124019
Sarid	0.123814
Kinkel	0.123585
Fleischer	0.122551
"Faisal Husseini"	0.122109
Klima	0.122036
Verney	0.121566
Tsang	0.121478
Lockyer	0.121374
Nazarbayev	0.121273
Kharrazi	0.120696
Levitt	0.120635
Ashrawi	0.120323
Azad	0.119724
Pangalos	0.119489
Bulatovic	0.119471
Hunsicker	0.118603
Brittan	0.118415
Constantinescu	0.118244
Insulza	0.118186
Holl	0.117705
Wolfensohn	0.117324
McCurry	0.117163
Brownback	0.116957
Jia	0.116868
Manley	0.116766
Saleh	0.116294
Prewitt	0.116288
Beazley	0.116217
Peres	0.115883
Aznar	0.115647
Goldin	0.115587
Hodler	0.115322
Hauser	0.114898
Chissano	0.114551
Krasniqi	0.11383
McGuinness	0.113824
Nzo	0.113704
Ahern	0.113324
Malu	0.113085
Kennard	0.112786
Lazarenko	0.112531
Ebersol	0.112469
Tian	0.112335
MIYAZAWA	0.111699
"administration official"	0.111536
Gosper	0.111522
Seleznyov	0.111066
Zou	0.110853
Sheehan	0.110754
Wolfson	0.110548
Pickering	0.109986
Wilhelm	0.10996
Zuma	0.109619
Mandelson	0.10959
Moussa	0.109548
Buthelezi	0.109412
Ainge	0.109232
Abdel-Meguid	0.108796
Blatter	0.108706
Komura	0.108549
Ciampi	0.108338
Shareh	0.108289
Chuan	0.108145
Rong	0.108143
Wenger	0.107767
Severino	0.107566
Eizenstat	0.107207
Rossotti	0.107192
Meguid	0.107097
Guterres	0.106661
Diouf	0.10666
Aventajado	0.106504
Galvin	0.106447
Husseini	0.106351
Meissner	0.106237
LaPierre	0.106192
Donnan	0.106061
Ogata	0.105988
Leghari	0.105811
Nasrallah	0.105692
Shipley	0.10567
Flanagan	0.105445
Kyprianou	0.105034
McKinnon	0.104896
Narayanan	0.104741
Rove	0.104679
Xiang	0.103842
Donohue	0.1037
Passarella	0.10344
Chubais	0.103319
Finkel	0.10324
Sharon	0.102988
Weizman	0.10297
Lehane	0.102881
al-Sahhaf	0.102609
Ivanov	0.102354
Waigel	0.102145
Piot	0.102075
Kwasniewski	0.10193
Majali	0.101877
Arens	0.101826
Hoss	0.101775
Murad	0.10162
Cashman	0.101618
Daschle	0.101458
Ahtisaari	0.101436
Podesta	0.101358
Okada	0.101159
Engelberg	0.101107
Strauss-Kahn	0.101095
Papandreou	0.101054
Inhofe	0.10094
Maslyukov	0.100864
Cem	0.100718
Lamont	0.099913
Kyl	0.0998696
Lau	0.0998477
Amato	0.0995552
Ratliff	0.0992471
Milutinovic	0.0992025
Mohajerani	0.099169
Erbakan	0.099052
Leavitt	0.0986474
Ganassi	0.0983997
Barshefsky	0.0983985
"Hanan Ashrawi"	0.0982773
Indyk	0.0981333
Ritter	0.09808
Sumaye	0.0978809
Solana	0.0978211
Checketts	0.0978206
Katsav	0.0975379
Chevenement	0.0973437
Hasan	0.0971545
Akayev	0.0971335
Bettman	0.0971253
Rodionov	0.0970324
Santer	0.0970202
Schmid	0.0969742
Bruton	0.0969734
Sakakibara	0.0969483
Markovic	0.0967859
Cao	0.0966978
Berri	0.0965645
Cleland	0.0965438
Nickerson	0.0963637
Westendorp	0.0958671
Juppe	0.0957355
Scalfaro	0.0953921
Bolger	0.0952918
Stepashin	0.0952515
Camdessus	0.0952171
Mbeki	0.09502
))
("Being John Malkovich" (desc 3193.51) (sims
"American Beauty"	0.168816
"Cider House Rules"	0.156022
Rushmore	0.14064
"American Pie"	0.132043
"Mickey Blue Eyes"	0.125589
"Green Mile"	0.119928
"sixth sense"	0.115129
"Central Station"	0.113687
EdTV	0.113649
"Stuart Little"	0.113551
"Little Voice"	0.109241
"Good Will Hunting"	0.108215
"Fight Club"	0.107053
"Erin Brockovich"	0.105919
Tootsie	0.105321
"Blair Witch Project"	0.101109
"Double Jeopardy"	0.100221
"Princess Mononoke"	0.0991197
"Galaxy Quest"	0.0978285
"Runaway Bride"	0.0973434
"Toy Story"	0.0957358
"Saving Private Ryan"	0.0951803
Magnolia	0.0940213
Jawbreaker	0.091894
"Ideal Husband"	0.0918059
"high fidelity"	0.0914418
"chicken run"	0.0908473
"Patch Adams"	0.0902422
"Notting Hill"	0.0901458
Bowfinger	0.0899387
"Eyes Wide Shut"	0.0895478
"Primary Colors"	0.0891818
"Scary Movie"	0.0890683
Bulworth	0.0880924
Pleasantville	0.0868264
"Cruel Intentions"	0.086808
"pitch black"	0.0859345
"Jerry Maguire"	0.085543
"Big Daddy"	0.0850234
"Boogie Nights"	0.0844019
"Thomas Crown Affair"	0.0816052
"Simple Plan"	0.0812063
Stigmata	0.080844
"Meet Joe Black"	0.0793953
Ronin	0.0789817
ripley	0.0789807
"Usual Suspects"	0.0788319
"Forrest Gump"	0.0781271
"Space Cowboys"	0.0773089
"Get Real"	0.077088
"Titan A.E."	0.0770561
"Inspector Gadget"	0.0762932
"Dirty Dancing"	0.0760446
"Animal House"	0.0756481
"snake eyes"	0.07509
ROUNDERS	0.0748565
"High Art"	0.0731678
"Pulp Fiction"	0.0730393
"Nurse Betty"	0.0705027
Antz	0.0702036
"Life Is Beautiful"	0.070185
"Velvet Goldmine"	0.0701669
"Natural Born Killers"	0.0691889
"Wild Wild West"	0.0685317
Matrix	0.0684795
"Straight Story"	0.0665969
"Lake Placid"	0.066407
Evita	0.0662573
U-@@@	0.0657343
FARGO	0.0628974
"Waking Ned Devine"	0.0626559
"DEEP BLUE SEA"	0.0624613
"Iron Giant"	0.0623175
"Mighty Joe Young"	0.0617515
"L.A Confidential"	0.0616587
entrapment	0.0615709
"Cradle Will Rock"	0.0612251
"Haley Joel Osment"	0.0610421
Footloose	0.0604416
"True Thing"	0.0604252
"Hollow Man"	0.0601598
"Opium War"	0.0600236
"Smoke Signals"	0.0597395
psycho	0.0596527
Trainspotting	0.0590617
LIMEY	0.0588779
thriller	0.0577566
"Thin Red Line"	0.0575105
"Toy Story @"	0.0574026
"best man"	0.0572499
"Lethal Weapon @"	0.0568166
"feature film"	0.0567582
"Austin Powers"	0.0553916
"Janet McTeer"	0.0549503
Gladiator	0.0548019
"Varsity Blues"	0.0543905
stepmom	0.0542605
"BUENA VISTA SOCIAL CLUB"	0.0540798
"English Patient"	0.0537128
"Blair Witch"	0.0536215
Armageddon	0.0527893
Amistad	0.0524087
"fire drill"	0.0519843
"Scream @"	0.051845
"Spin City"	0.0518195
"High Museum of Art"	0.051649
simpatico	0.051437
"Cider House"	0.0503766
"Everybody Loves Raymond"	0.0500924
swinger	0.0499396
Batman	0.0496372
"Lethal Weapon"	0.0489988
"Sleepy Hollow"	0.0489772
E.T	0.0486734
"Hilary Swank"	0.0485556
"Mod Squad"	0.0485132
Mulan	0.0484428
Pecker	0.0479652
X-MEN	0.0476345
"Civil Action"	0.0471473
ringmaster	0.0471356
"Phantom Menace"	0.0471286
Hilary	0.0470946
dogma	0.047041
affliction	0.046958
Fantasia	0.0467525
Titus	0.0456739
"Elia Kazan"	0.0452592
"Lincoln Center Theater"	0.0451515
"Roberto Benigni"	0.0447238
"another @-pointer"	0.0443787
Cosby	0.0439442
"Field Poll"	0.0437595
"Monty Python"	0.0436539
Bette	0.0436262
"motion picture"	0.0434465
"Citizen Kane"	0.0434269
"Parent Trap"	0.0433205
wonderland	0.0429984
co-wrote	0.0426973
Patton	0.0426795
"Sean Penn"	0.0425808
Elizabeth	0.0422653
Goodfellas	0.0421466
Wilde	0.0419074
"nine yards"	0.0418488
tingle	0.0417609
"holy man"	0.0416871
"Blade Runner"	0.0416252
"Peony Pavilion"	0.0415875
"Jurassic Park"	0.0415612
"Night Fever"	0.0413875
"rush hour"	0.0413252
"wonder boy"	0.0411156
"South Park"	0.0410858
"Got Mail"	0.0409604
Amadeus	0.0409401
payback	0.0408401
Waterboy	0.0407744
"Full Monty"	0.040403
CMA	0.0403422
"Sports Night"	0.0402824
"Lincoln Center Festival"	0.0401057
"Perfect Storm"	0.0400817
))
(beings (desc 6938.33) (sims
creature	0.124974
"life form"	0.080729
mammal	0.0753667
"human being"	0.0721797
phenomena	0.0640518
invertebrate	0.0627638
alien	0.0596814
mutant	0.0579859
organism	0.0543578
critters	0.0536744
bastard	0.0527709
microbe	0.051007
"living thing"	0.0502109
scum	0.0500562
fauna	0.0493441
crustacean	0.0492218
Robot	0.0490585
Neanderthal	0.0487938
beast	0.0478001
guffaw	0.0470501
apparition	0.0468451
outcast	0.0467942
fairy	0.0466895
webcams	0.046628
Dinosaur	0.0464893
amphibian	0.0463181
deity	0.0458992
mortal	0.0458011
Lightyear	0.0450065
"young lady"	0.0449629
offspring	0.0448841
lizard	0.0447344
reptile	0.0445076
monster	0.0440021
interloper	0.043957
microorganism	0.0437426
stimuli	0.0437195
visionary	0.0432992
waterfowl	0.0431565
specimen	0.0429909
vermin	0.0429575
extraterrestrial	0.0425891
idiot	0.0424783
insect	0.042373
"guardian angel"	0.0423401
Primate	0.0421194
immortal	0.0421054
demon	0.0418545
Israelites	0.0417175
"subatomic particle"	0.0417013
"flowering plant"	0.0413146
dragonfly	0.0412367
out-of-towners	0.0410878
doer	0.0403446
hard-wired	0.0401025
))
(Beira (desc 3895.12) (sims
MAPUTO	0.165836
Huambo	0.145392
Cebu	0.141395
Andulo	0.135912
Kuito	0.131494
Mombasa	0.131043
Bailundo	0.129334
Kisumu	0.126686
Cochabamba	0.126513
Cartagena	0.123331
Aqaba	0.120379
Kabwe	0.120128
Trincomalee	0.119788
Dodoma	0.118833
Kandy	0.117762
Baotou	0.117624
Bamiyan	0.117496
Durban	0.116896
Durres	0.116119
Manado	0.114918
Taloqan	0.1125
Matadi	0.111082
Srinagar	0.110421
Bushehr	0.110045
Izmir	0.109308
Medan	0.109305
Bulawayo	0.108485
Haifa	0.107705
Assab	0.107617
Kismayu	0.10732
Antalya	0.106963
Ashkelon	0.106723
Ndola	0.106375
Davao	0.106151
Sidon	0.105904
Sihanoukville	0.105629
Murmansk	0.104897
Warri	0.103297
"Banja Luka"	0.102916
Makhachkala	0.102806
Quetta	0.102745
Zhangzhou	0.102497
Jayapura	0.101868
Isfahan	0.10097
Zhangjiagang	0.100489
Shiraz	0.0999641
Ibadan	0.0996934
Sofala	0.0994504
Chittagong	0.099219
Ensenada	0.0987591
Pusan	0.0980868
Chisinau	0.0979102
Dushanbe	0.0975244
Multan	0.0973713
Makeni	0.0972921
Tete	0.0972813
Jalalabad	0.0968933
Mashhad	0.096306
Windhoek	0.0954953
Merca	0.0954923
Larnaca	0.0949161
Monrovia	0.094467
Limassol	0.0943789
Sirte	0.0940596
Nagoya	0.0935042
Mtwara	0.0934931
Vilnius	0.0930985
Juba	0.0924363
Vlore	0.0919431
Herat	0.0919215
Datong	0.0918946
Kuching	0.0917883
"San Pedro Sula"	0.0916157
Sevastopol	0.091214
Karachi	0.0906301
Anshan	0.0905914
Catania	0.0901981
Lubumbashi	0.0900732
Bangalore	0.0899065
Gdansk	0.0898237
Benguela	0.0894889
Baku	0.0893599
Lianyungang	0.0888999
Baoding	0.0886288
BLANTYRE	0.0881098
Yinchuan	0.0879364
Vladikavkaz	0.0874947
Charikar	0.0874784
Aswan	0.087405
Baalbek	0.0870941
Peshawar	0.0870398
Xian	0.0869357
Jeddah	0.0868687
Qinhuangdao	0.0862537
Astana	0.0860278
Kaduna	0.0858427
Gudermes	0.0856767
Yerevan	0.0853021
Medellin	0.0851198
Najaf	0.0846077
Turpan	0.0845578
Quanzhou	0.0840255
Lucknow	0.0837869
Lahore	0.0837142
Ningbo	0.0836693
Diyarbakir	0.0834488
Zhenjiang	0.0833591
Toulon	0.0831703
Dili	0.0831387
Wenzhou	0.0829169
Malaga	0.0828203
Mandalay	0.0827992
Luanda	0.0827705
Mosul	0.0827411
Ljubljana	0.0825335
Guayaquil	0.0825165
Wuhan	0.0822272
Fuzhou	0.08205
Alexandria	0.0820209
Sanya	0.0818762
Krakow	0.081694
Liuzhou	0.0816432
Galle	0.081602
Calcutta	0.0814398
Qingdao	0.0813352
Izmit	0.0812761
Toluca	0.0810607
"San Sebastian"	0.081017
Kisangani	0.0809987
Yichang	0.0807554
Haikou	0.080698
Kupang	0.0806812
Luoyang	0.0806377
Zamboanga	0.0805527
Bissau	0.080424
Bari	0.0802086
Hyderabad	0.0801993
Livingstone	0.0801579
Mbabane	0.0800095
Xuzhou	0.0799328
Phuket	0.079928
Weifang	0.0797396
Kaohsiung	0.0795426
Kragujevac	0.0794543
Goma	0.0793376
Kandahar	0.0793319
Krasnoyarsk	0.0793036
Uvira	0.079219
Bengkulu	0.0792073
Changsha	0.078771
TEGUCIGALPA	0.0786534
Minsk	0.0785327
Bukavu	0.0783153
Zhengzhou	0.0783095
Odessa	0.0778532
Chengde	0.0778156
Basra	0.0777769
Madras	0.0777213
Shashi	0.0773702
Gaza	0.0772369
Rafah	0.0771542
Kigali	0.077088
Puebla	0.0768976
Ambon	0.0765518
Yokohama	0.0765008
Haicheng	0.0764322
Eindhoven	0.0762048
Nablus	0.0761581
Ceyhan	0.0761444
Gaborone	0.0761078
Yantai	0.0759126
Jiujiang	0.0755191
Novosibirsk	0.0754237
Adana	0.0754053
Kinshasa	0.0753251
Rostock	0.0752317
Hangzhou	0.0751376
Klagenfurt	0.0748609
Beihai	0.0747661
Irbil	0.074758
Manta	0.0745246
Mazar-i-Sharif	0.0743688
"Dar es Salaam"	0.0742519
Nago	0.0742052
"Santo Domingo"	0.0742
Strasbourg	0.0741628
Lhokseumawe	0.0738039
CHENGDU	0.0737983
Kigoma	0.073739
Basle	0.0737249
Tripoli	0.0734908
Pretoria	0.0733851
Kitwe	0.0733164
Burgos	0.0731874
"Indian Ocean"	0.0730051
Wuxi	0.0727792
Posoltega	0.0727736
Aachen	0.0727668
Jinzhou	0.0727571
Suez	0.0722895
))
(Beirut (desc 41554.5) (sims
CAIRO	0.239187
Amman	0.237693
Tehran	0.208262
"Tel Aviv"	0.199543
Damascus	0.197564
Riyadh	0.190149
"Addis Ababa"	0.188516
SEOUL	0.187386
Algiers	0.186951
Baghdad	0.186073
Tripoli	0.182794
Manila	0.179225
BELGRADE	0.178793
Nairobi	0.178563
Luanda	0.178125
Khartoum	0.177537
Islamabad	0.177066
ANKARA	0.176269
Moscow	0.175766
COLOMBO	0.173879
Sarajevo	0.173682
"Mexico City"	0.173474
BOGOTA	0.172923
JOHANNESBURG	0.172915
"New Delhi"	0.172117
"Phnom Penh"	0.171915
KAMPALA	0.171174
TIRANA	0.170655
Jakarta	0.169702
Havana	0.169623
HARARE	0.16826
Bangkok	0.167052
KIEV	0.165512
SOFIA	0.165109
Gaza	0.165009
Kabul	0.165007
BRUSSELS	0.161303
DHAKA	0.161019
BUCHAREST	0.158464
"Kuala Lumpur"	0.158246
ZAGREB	0.157757
WARSAW	0.157639
MAPUTO	0.156798
CARACAS	0.156565
"KUWAIT CITY"	0.154844
BEIJING	0.154694
JERUSALEM	0.154443
Lusaka	0.15378
Pristina	0.153402
HANOI	0.152951
ATHENS	0.152692
Santiago	0.152551
Kigali	0.152157
Belfast	0.151869
Lagos	0.151706
Rome	0.151654
BUDAPEST	0.151502
Bonn	0.150604
TUNIS	0.150228
Lima	0.148953
Prague	0.148945
LISBON	0.148878
Vienna	0.147461
Kinshasa	0.147429
Monrovia	0.146838
"Buenos Aires"	0.146082
Dushanbe	0.145832
Paris	0.145732
"Cape Town"	0.145577
Madrid	0.144959
Istanbul	0.144812
Asmara	0.144175
Tokyo	0.144048
LONDON	0.143616
Lebanon	0.143615
TEGUCIGALPA	0.142993
NICOSIA	0.142511
"Abu Dhabi"	0.140941
Tbilisi	0.140732
Pretoria	0.140596
Mogadishu	0.140315
Geneva	0.139215
Berlin	0.138579
Freetown	0.137843
Bujumbura	0.137326
Managua	0.13699
Karachi	0.136617
SANAA	0.136332
Dublin	0.136242
Dili	0.13538
"Dar es Salaam"	0.134142
YANGON	0.13388
STOCKHOLM	0.133878
Rabat	0.133732
Doha	0.133255
Kathmandu	0.132137
"San Salvador"	0.130504
"Guatemala City"	0.129977
Quito	0.12965
Skopje	0.12906
Helsinki	0.127134
MANAMA	0.126511
Grozny	0.12566
Minsk	0.125222
Abidjan	0.119967
Baku	0.119602
"Santo Domingo"	0.119478
Maseru	0.11918
PYONGYANG	0.118828
Kandahar	0.11871
Ramallah	0.117516
Srinagar	0.116567
Accra	0.116502
Port-au-Prince	0.116416
"Gaza Strip"	0.116327
BRASILIA	0.116183
Gaborone	0.115961
"Rio de Janeiro"	0.115684
Durban	0.114769
Alexandria	0.114647
"Ulan Bator"	0.114584
Shanghai	0.113267
Lhasa	0.113192
Amsterdam	0.112351
Bissau	0.111983
capital	0.111267
Abuja	0.110971
Windhoek	0.110782
"La Paz"	0.110301
Taipei	0.110247
Dakar	0.109577
Jeddah	0.108994
Yaounde	0.108809
Frankfurt	0.107841
Washington	0.107829
Vilnius	0.107797
Asuncion	0.107266
Lahore	0.107252
Copenhagen	0.106369
Wellington	0.105542
Bombay	0.105186
MONTEVIDEO	0.10491
Oslo	0.104806
"St. Petersburg"	0.104671
Suva	0.104574
"Sao Paulo"	0.104017
Zurich	0.103942
Vientiane	0.103248
Tashkent	0.103101
Kunming	0.103031
"San Juan"	0.101755
Lome	0.101313
Bahrain	0.100443
"Bekaa Valley"	0.100439
"San Jose"	0.0992138
"Ho Chi Minh City"	0.0976369
Canberra	0.0976065
Brazzaville	0.0974097
Kuwait	0.0971602
"Los Angeles"	0.0970871
MELBOURNE	0.0970013
Mbabane	0.096861
Sidon	0.0968103
"Egyptian capital"	0.0966638
Calcutta	0.0959479
Milan	0.0958661
Baalbek	0.0958166
NANJING	0.095509
Peshawar	0.0951173
Urumqi	0.094972
Jalalabad	0.0945271
Hebron	0.0944239
city	0.0943152
Sydney	0.0942835
"Panama City"	0.0937937
Auckland	0.0932645
CHENGDU	0.0931551
Ottawa	0.0929315
Muscat	0.092869
"New York"	0.0927122
"Gaza City"	0.092502
Makhachkala	0.0921737
DUBAI	0.0921357
Munich	0.0915913
Bern	0.091397
Haifa	0.091094
Cartagena	0.0905516
Libya	0.0902251
Hangzhou	0.0900701
Singapore	0.090005
Vladikavkaz	0.0899316
Vladivostok	0.0897946
Israel	0.0893937
Tianjin	0.0891809
"Oklahoma City"	0.0889271
Honolulu	0.0878701
Guangzhou	0.0878414
town	0.0873049
Syria	0.087055
Murmansk	0.0870338
))
(Bekaa (desc 1640.32) (sims
"Bekaa Valley"	0.269316
Beqaa	0.262109
Putumayo	0.145491
Katanga	0.132813
Drenica	0.129649
Caprivi	0.123272
"Great Plains"	0.113929
Tigray	0.112546
Nabatiyeh	0.111616
Luzon	0.110863
Baalbek	0.110553
"rift valley"	0.108595
"Mount Lebanon"	0.106665
Galilee	0.104767
"Taihu Lake"	0.103789
Nyanza	0.103712
Mekong	0.099643
"San Fernando"	0.0979763
"Pearl River Delta"	0.0976234
Bamiyan	0.0975966
Lijiang	0.0957771
Rhone	0.0957031
Cotabato	0.0942832
"Syrian Golan Heights"	0.0934399
Sofala	0.0927534
"Niger Delta"	0.0922814
Tunceli	0.0905996
hinterland	0.0896752
Qinghai	0.0887051
"North Maluku"	0.0884117
"Hudson Valley"	0.0883378
"Santa Clarita"	0.0878099
Chamonix	0.0867687
"Inner Mongolia"	0.0856964
"New Territories"	0.0852556
Pampanga	0.0844648
Vojvodina	0.084001
"Huaihe River"	0.0839047
Sumatra	0.0838168
Sindh	0.0835599
"Chiang Rai"	0.0829948
Punjab	0.0826822
Zhejiang	0.0811855
BIE	0.0811408
Gansu	0.0805648
Antioquia	0.0804826
Mpumalanga	0.0803963
Tete	0.080302
"Mekong Delta"	0.0802135
Huaihe	0.0788186
Waterville	0.0786326
"Central Valley"	0.0784751
Anhui	0.07833
Novosibirsk	0.0781881
"Far Eastern"	0.0777786
Zhangbei	0.0774921
Badme	0.0767687
Sylhet	0.0766622
"Rocky Mountain"	0.0760173
"Bohai Sea"	0.0758306
Benguela	0.0757735
Xinjiang	0.075742
Chiapas	0.0755925
Herat	0.0752153
highland	0.0751802
Kwazulu-Natal	0.0751502
Kyushu	0.0750034
Decani	0.0743971
Sichuan	0.0743165
Puglia	0.0742556
"Connecticut River"	0.0740651
Huambo	0.0732293
Piedmont	0.07312
"Mekong River"	0.0731048
Rajshahi	0.0730814
"Kigoma Region"	0.0727187
Shaanxi	0.0726877
Kurdistan	0.0722594
Batticaloa	0.072128
Saida	0.0717916
"Yangtze River Delta"	0.0714444
"Tennessee Valley"	0.0713795
Nagorno-Karabakh	0.0711097
Mindanao	0.0706733
Hunan	0.0702844
Guizhou	0.0695749
"Golden Triangle"	0.0694177
foothill	0.0692666
Attica	0.0691248
Bundibugyo	0.069029
sq.km	0.068353
Shanxi	0.0678436
panhandle	0.0674697
Fujian	0.0673057
Siberia	0.0672225
Gujarat	0.067129
Guangxi	0.0669145
Ningxia	0.0667671
"San Fernando Valley"	0.0667384
Argun	0.0661878
Vavuniya	0.0661772
Jezzine	0.0659402
Najaf	0.0659186
midland	0.0657218
"Big Sur"	0.0657132
Tachilek	0.0654946
Mostar	0.0653365
"Mississippi Delta"	0.0651631
Abkhazia	0.0650426
"Dead Sea"	0.0648434
Maguindanao	0.0645985
Hainan	0.0644464
"South Texas"	0.0643285
"Iglim Al-Toffah"	0.0641565
"Ohio Valley"	0.0639642
Songhua	0.0638598
Umbria	0.0632087
Shandong	0.0631498
CHT	0.0631251
"Guizhou Province"	0.0628435
"Western Pacific"	0.0626454
"North Island"	0.0625837
Jilin	0.062064
"Johnson County"	0.0620075
Sidon	0.0617615
Liaoning	0.0617473
"West Los Angeles"	0.0614582
Nenjiang	0.0613157
Henan	0.0612396
"Miami-Dade County"	0.0611628
Tarim	0.0610686
Quetta	0.0610406
"Red River"	0.0610339
"Serbian Republic"	0.0609969
"Ohio River"	0.0609772
"Sierra Nevada"	0.0608146
Bushehr	0.0607309
Sakhalin	0.0606919
terminus	0.0606164
Basra	0.0605927
"Pearl River"	0.0605147
"Beibu Gulf"	0.0605035
Greenland	0.0602078
Hebei	0.0599989
"East Kalimantan"	0.0599775
Dakota	0.0597714
Alps	0.059686
Lorraine	0.0595751
Keene	0.0595391
"Gulf Coast"	0.0595298
Basilan	0.0593951
"Eastern Cape"	0.0590797
Copperbelt	0.0589982
Maluku	0.0585448
"Loess Plateau"	0.0584954
"Western Cape"	0.0583769
Alsace	0.0581932
Murmansk	0.0581926
lowland	0.0581384
Balochistan	0.0580839
Zhangjiakou	0.0579168
"Nile Delta"	0.0578208
Hubei	0.057652
Sirnak	0.0574369
Kalimantan	0.0571321
Bingol	0.0571195
Zhongguancun	0.0571131
"South East Asia"	0.0569753
Mesopotamia	0.0569592
Sahara	0.0567343
"St. Lawrence"	0.056671
"West Texas"	0.0566207
"Metro Manila"	0.0566188
Saskatchewan	0.0563707
Brittany	0.0562595
"West Timor"	0.056056
Malisevo	0.0557803
Manitoba	0.055655
Sur	0.0555174
Jammu	0.0552173
Gulu	0.0551447
"Travis County"	0.055085
Posoltega	0.0548437
"Missouri River"	0.0548215
"Baltic Sea"	0.0547888
"Xinjiang Uygur Autonomous Region"	0.0547155
Urus-Martan	0.054656
Sonoma	0.0544293
Uvira	0.0544272
"Nile River"	0.0541978
"Dongting Lake"	0.0540231
Khabarovsk	0.0536514
Chittagong	0.0536386
Jiangxi	0.0536284
"Grand Central"	0.053607
Prijedor	0.0535483
Uri	0.0530622
Patagonia	0.0527877
Darien	0.0526076
Amazonian	0.0526046
))
("Bekaa Valley" (desc 3305.99) (sims
Bekaa	0.269316
Beqaa	0.187451
Sidon	0.139103
Baalbek	0.119648
"San Joaquin Valley"	0.105143
Beirut	0.100439
"Shan State"	0.100392
Buldon	0.0958738
"Syrian Golan Heights"	0.0907608
"Kigoma Region"	0.0841268
highland	0.0826313
"Great Plains"	0.081452
Drenica	0.078973
"South Lebanon"	0.0779885
Katanga	0.0771833
Basilan	0.0766419
"Mount Lebanon"	0.075551
Putumayo	0.0752713
Guantanamo	0.0747747
Maguindanao	0.0738687
Anatolia	0.073787
Pampanga	0.0726615
"Gaza Strip"	0.07194
Cotabato	0.0710124
Kyushu	0.0695153
Huambo	0.0687662
"Golan Heights"	0.0683184
hinterland	0.0673036
Gnjilane	0.0670157
"Delta State"	0.0662325
"power broker"	0.0659262
heartland	0.0657291
Galilee	0.0653297
Saida	0.0652113
"American South"	0.0638529
Bangui	0.0632628
Mindanao	0.0628941
Ingushetia	0.0626659
"Newport Beach"	0.0617047
"Chiang Rai"	0.0614046
Gaza	0.061223
foothill	0.0610832
Uvira	0.0609281
"Niger Delta"	0.0606726
"Tennessee Valley"	0.0605794
Brittany	0.0603544
Jezzine	0.0602474
Khost	0.060139
"Florida Panhandle"	0.0600646
"North Island"	0.0596624
Punjab	0.0596172
Trincomalee	0.0594374
"San Diego County"	0.0589479
"Mojave Desert"	0.058317
Talipao	0.0582262
"Rift Valley Province"	0.0581976
Sindh	0.0581822
Piedmont	0.0581296
Sumatra	0.058095
"Jordan Valley"	0.0580696
Hunan	0.0580423
governorates	0.0579403
"Central Mindanao"	0.057918
Abkhazia	0.057293
midland	0.0572535
"West Timor"	0.057092
Incirlik	0.0566981
"Eastern Province"	0.0566431
Tunceli	0.0560781
Zamboanga	0.0556429
Arua	0.0554726
Presense	0.0553733
"North Ossetia"	0.0552771
Siberia	0.055085
"Marin County"	0.0548739
"Iglim Al-Toffah"	0.054707
"Sonoma County"	0.0546804
terminus	0.0545735
Soweto	0.0544445
"East Jerusalem"	0.0543465
Gulu	0.0542668
"Inner Mongolia"	0.0539197
"North Maluku"	0.0538468
lowland	0.0536881
Bushehr	0.0536206
Tigray	0.0536133
Sussex	0.0534564
Amal	0.0533127
Vladikavkaz	0.0531194
Gansu	0.0526999
Chiapas	0.052684
Sulawesi	0.0525096
"Irian Jaya"	0.0523588
"Anlong Veng"	0.0522393
Bamiyan	0.0521817
Kailahun	0.0521289
Nyanza	0.0519699
Westfield	0.0519605
Londonderry	0.0518932
Qinghai	0.051806
"North Dakota"	0.0516442
Crimea	0.051622
Kwazulu-Natal	0.0515929
prefecture	0.0515746
Englewood	0.0515522
"Metro Manila"	0.0514386
Vavuniya	0.0512051
Sofala	0.0510238
Guizhou	0.0510065
Golan	0.0509032
Wichita	0.0508587
Pailin	0.0505826
Nabatiyeh	0.0504048
"SIERRA BLANCA"	0.0503375
Groton	0.0503029
Zhejiang	0.0502011
"rift valley"	0.0501929
Bloemfontein	0.0501514
"New Territories"	0.0500409
"Riverside County"	0.0498013
Sinai	0.0494388
Caprivi	0.0493824
Merca	0.0493022
Tete	0.0492474
"Nile Delta"	0.0492355
"Central Province"	0.0491802
Maluku	0.0490743
Tarrytown	0.0488236
Anhui	0.0486557
Burlingame	0.0485799
Appalachia	0.0485508
Najaf	0.0484676
Luzon	0.0482132
"Shiite Muslims"	0.0480752
Crete	0.0480449
seaboard	0.0480309
Tripoli	0.0477422
Kalimantan	0.0476127
"Ivory Coast"	0.0476025
"Anhui Province"	0.0474957
Kitgum	0.0471871
Sicily	0.0471416
Batticaloa	0.0471402
Kigoma	0.0470511
Claremont	0.0469715
"Thousand Oaks"	0.0467772
"Central Java"	0.0465864
Marjayoun	0.0465659
Shanxi	0.0465382
Bohemia	0.0461697
Greenland	0.0461686
Kasese	0.0461046
BIE	0.0460605
Bingol	0.0460422
"Hudson Valley"	0.0460316
"Palm Beach County"	0.0460092
Shan	0.0460089
Hubei	0.0458813
"Jaffna Peninsula"	0.0458437
Aviano	0.0456867
Kilinochchi	0.0456351
Sichuan	0.0456291
"East Texas"	0.045564
Kissimmee	0.0452433
"Mediterranean Sea"	0.0449726
"South Georgia"	0.0449344
Darien	0.0449027
Argun	0.044848
Ontario	0.0448005
"San Rafael"	0.0446041
"Dade County"	0.0445764
"Xinjiang Uygur Autonomous Region"	0.0444996
Kenema	0.0444813
"Orange County"	0.0444777
"Asian Cup"	0.0442267
Jilin	0.0441926
Dakota	0.0440683
panhandle	0.0440666
Benguela	0.0440458
Shandong	0.0440007
"Northern California"	0.0439539
"East Java"	0.0439168
Monrovia	0.0438547
Haicheng	0.0437702
Belfast	0.0437323
Henan	0.0435803
Herat	0.0435306
"San Fernando Valley"	0.0435221
"Baja California"	0.0434938
"Zhejiang Province"	0.043425
Palestinians	0.0433967
Fujian	0.0433894
Hakkari	0.0433426
Jiangxi	0.0432295
"Central Texas"	0.0431797
"Suez Canal"	0.0431639
"Shaanxi Province"	0.0431268
Wallingford	0.0431006
Vojvodina	0.0430901
Bengkulu	0.0430885
))
(Bel (desc 1407.42) (sims
Isis	0.0704684
Lareau	0.07035
"Sistine Chapel"	0.0646808
SAirGroup	0.0600934
"Nigerian National Petroleum Corporation"	0.054007
"Angkor Wat"	0.0527653
"U.S. Trust"	0.0517847
OCA	0.0505298
"Zambia Consolidated Copper Mines"	0.0502951
espanol	0.0501726
"Seagram Co."	0.0489573
SkyTel	0.0473841
Beauvoir	0.0456988
Roux	0.0454257
"AMR Corp."	0.0453946
Bruijn	0.0452373
"Blue Ridge"	0.043131
Jong	0.0422678
Sade	0.0420241
"Xerox Corp."	0.0417913
"Thomson CSF"	0.0416285
"Yamaichi Securities Co."	0.0413111
turpentine	0.0412453
"European Bank for Reconstruction"	0.0410885
"Ministry of Interior"	0.0404378
"garden party"	0.0401642
"City Development"	0.0401094
))
("Bel Air" (desc 1408.44) (sims
"Hollywood Hills"	0.228912
"Pacific Palisades"	0.160712
Bridgehampton	0.155195
Brentwood	0.139279
"Studio City"	0.137589
"Fayette County"	0.132292
oceanfront	0.130974
"San Felipe"	0.117801
"Mission Viejo"	0.117092
"Paradise Valley"	0.113865
Riverdale	0.11076
Bensonhurst	0.10895
"Greek Revival"	0.107951
"East Hampton"	0.106719
Tarzana	0.103884
Englewood	0.102732
Leawood	0.102438
"Woodland Hills"	0.101399
Piedmont	0.098783
Reseda	0.097548
lakeside	0.0970055
"Little Havana"	0.0969143
Chappaqua	0.0935797
"Palm Beach Gardens"	0.0934492
Greenwich	0.0932835
"Granada Hills"	0.0915179
Alpharetta	0.0910136
Malibu	0.0909506
Westport	0.0903355
Buckhead	0.0896259
Atherton	0.0891955
"San Rafael"	0.087057
Bedford-Stuyvesant	0.0859833
Tarrytown	0.0849375
Hattiesburg	0.0845379
Farmington	0.0844624
Hillsborough	0.0843627
Ridgewood	0.084005
"Highland Park"	0.0836742
"Red Hook"	0.0835671
"Palm Beach"	0.0833931
Lancaster	0.0833259
"Newport Beach"	0.0823031
MINEOLA	0.0822665
Encino	0.0816059
Kensington	0.0810612
"Hyde Park"	0.0808059
Easton	0.0803913
"New Rochelle"	0.0801036
Montclair	0.0798479
"New Canaan"	0.0794592
"Mill Valley"	0.0792841
Medford	0.0786122
"Happy Valley"	0.078532
Evanston	0.0781275
"East New York"	0.0779887
Needham	0.0768156
Ballymoney	0.0762715
"South Beach"	0.0752541
Plano	0.07502
BRIGHTON	0.0748846
Derry	0.0741055
Soweto	0.074063
Calabasas	0.0739607
"Thousand Oaks"	0.0734427
"Miami Beach"	0.0733118
Malden	0.0720559
Norwood	0.0717432
Beaufort	0.0715038
Tudor	0.0714929
Amherst	0.0713498
lakefront	0.0712494
Carmel	0.070379
"Chevy Chase"	0.0703414
Bethesda	0.0702506
Westchester	0.0700598
"Boynton Beach"	0.0697298
Acapulco	0.0696368
"Flagler County"	0.0695433
"Simi Valley"	0.0689067
Berkshires	0.0688611
Newport	0.0686553
Surrey	0.0683741
ARCADIA	0.0680206
Duluth	0.0676897
chintz	0.0675791
Dunwoody	0.067232
Antioch	0.0665512
Scarsdale	0.0660884
Reston	0.0660344
"Washington Heights"	0.0659343
"Borough Park"	0.0657343
Houghton	0.0652524
rebuilt	0.0651671
Stockbridge	0.0647548
"Lake Worth"	0.0647483
Rutherford	0.0646897
Weston	0.0645794
Clifton	0.064536
"Gilded Age"	0.0644552
"Westchester County"	0.0641667
Sausalito	0.0636089
Stamford	0.0634899
Brookline	0.0633521
Rockville	0.0626401
Fayetteville	0.0621095
Bloomfield	0.061759
riverside	0.0612173
"Mount Lebanon"	0.0611966
"East Orange"	0.0611907
"Saratoga Springs"	0.0608606
Wentworth	0.0608255
"Crown Heights"	0.0608021
Chatsworth	0.0602377
"Coral Gables"	0.0602136
"Queen Anne"	0.0599664
TALLAHASSEE	0.0598884
Nantucket	0.0597901
Wellesley	0.0594563
"Fort Lee"	0.0593894
Chatham	0.059091
"Forest Hills"	0.0589838
"talk of the town"	0.0586993
Flushing	0.0586901
"East Los Angeles"	0.0585789
beachfront	0.05857
Pelham	0.0584721
"Palo Alto"	0.0577581
Annapolis	0.0575145
"Silver Spring"	0.0573464
Carrollton	0.0573075
"trailer park"	0.0571593
"Marin County"	0.0570622
"Van Nuys"	0.0570466
Sparta	0.0568096
Fairfax	0.0567078
Melrose	0.0562453
Milton	0.0554358
"St. Albans"	0.0554121
Naperville	0.0553957
Kennebunkport	0.0553765
Lexington	0.0553531
"Walnut Creek"	0.0552298
Hamptons	0.0552168
Irvington	0.0550407
"Sherman Oaks"	0.0549924
Braintree	0.0547524
"Santa Clarita"	0.0543762
Bangor	0.05434
"Manhattan Beach"	0.0543114
Northland	0.0542274
"Westlake Village"	0.0542096
Southampton	0.0539531
Binion	0.0535924
Dorchester	0.0532991
"Gaza City"	0.0530592
"South End"	0.0530081
Redding	0.0526304
"San Mateo"	0.0525555
Camarillo	0.0524753
Sedona	0.0524746
Sonoma	0.0523835
"Mount Pleasant"	0.0522324
"Cherry Hill"	0.0521439
"Sun City"	0.0521411
showplace	0.0517915
"Park Slope"	0.0517754
Katy	0.0515286
"East Boston"	0.0514378
"San Carlos"	0.0513613
Hialeah	0.0513206
"Antelope Valley"	0.0512269
Oxnard	0.0510137
beachside	0.050933
Salisbury	0.0509133
nosebleed	0.0508349
"Stone Mountain"	0.0508336
Hollis	0.0508103
"Delray Beach"	0.0506683
Valparaiso	0.0504405
"Fort Lauderdale"	0.0504148
Gloucester	0.0503852
Carthage	0.0502657
Marjayoun	0.0502466
"Chapel Hill"	0.050209
Kissimmee	0.0500923
Eureka	0.0500726
Bavaria	0.049889
"Coney Island"	0.0498268
Kingston	0.0496369
"Old Town"	0.0495295
Fillmore	0.0495123
"Left Bank"	0.0493217
Hempstead	0.049284
Hampshire	0.049214
Lawrenceville	0.0491458
thatch	0.0490109
Astoria	0.0488829
"Bergen County"	0.0488673
Cornish	0.048349
))
("Bela Karolyi" (desc 1625.09) (sims
"Rich Brooks"	0.271693
"Mike Martz"	0.215472
"Chris Palmer"	0.208758
"Dom Capers"	0.19005
"Dave Campo"	0.19003
"Dick Jauron"	0.180668
"Dave McGinnis"	0.177024
"Brian Billick"	0.160378
"Al Groh"	0.15648
"Hans von Sponeck"	0.141573
Karolyi	0.141016
"TOM COUGHLIN"	0.139922
Zico	0.133259
"Scotty Bowman"	0.129808
"Bill Belichick"	0.127556
"Chan Gailey"	0.120199
"Bora Milutinovic"	0.115586
"John Fox"	0.110506
"Don Baylor"	0.104068
"Gary Kubiak"	0.102624
"Willie Randolph"	0.100264
"Jim Calhoun"	0.0983295
"John Thompson"	0.0978363
Billick	0.0969345
"Norv Turner"	0.0967731
"Mike Holmgren"	0.095747
Gleason	0.0922519
"Don Shula"	0.0921574
Fassel	0.0899494
"Ray Rhodes"	0.0887058
"Pat Burns"	0.0882474
"Ernie Zampese"	0.0880643
"Tim Floyd"	0.0880094
"Walter Zenga"	0.0876095
"Lenny Wilkens"	0.0874832
"Steve Mariucci"	0.0869933
"Red Auerbach"	0.0867835
"Dick Vermeil"	0.086708
"Rich Rodriguez"	0.0848813
"Tony Dungy"	0.0841149
"John Smith"	0.0838147
"Mike Dunleavy"	0.0837763
Jauron	0.0828613
Martz	0.0826445
"Dave Cowens"	0.0815664
"Dan Reeves"	0.0795344
"Vince Lombardi"	0.0794696
"Dean Smith"	0.0793842
K.	0.0792826
"Mack Brown"	0.078888
"Bill Cowher"	0.0786984
Ponciano	0.0783632
"Dennis Green"	0.0761189
"Mike Shanahan"	0.076058
"Don Zimmer"	0.0748844
Zambrano	0.0744356
"Johan Cruyff"	0.0740958
"George Seifert"	0.0736473
"Bill Walsh"	0.0729127
"John Robinson"	0.0726067
"Roy Williams"	0.0725261
"Super Eagles"	0.0724378
"Colin Campbell"	0.0724252
"Dennis Erickson"	0.0723476
"John Wooden"	0.0717839
"Terry Allen"	0.0711102
"Jim Harrick"	0.0710432
"Felix Savon"	0.0707278
"Pat Riley"	0.0705682
"Don Nelson"	0.0702887
"John Calipari"	0.0702672
"Dennis Ross"	0.0701492
"Tom Osborne"	0.0700691
"Mike Krzyzewski"	0.0699577
"Mike Ditka"	0.069085
Donnan	0.068996
Vermeil	0.0684523
Gailey	0.0684034
"Butch Carter"	0.0682362
"Dave Wannstedt"	0.067886
"Doc Rivers"	0.0665074
"Tex Winter"	0.0662872
Wilkens	0.0652847
"Paul Silas"	0.0648527
"Phil Jackson"	0.0647181
Chambliss	0.0641981
"Rudy Tomjanovich"	0.0639991
"Jeff Van Gundy"	0.063959
"Frank Jobe"	0.0637154
"Chuck Daly"	0.0631312
Spurrier	0.0629047
"Rod Carew"	0.0622968
"Pete Carroll"	0.0621456
"Ruud Gullit"	0.0617068
"Billie Jean King"	0.0612279
Shurmur	0.0610948
"Larry Brown"	0.0609722
"Rick Neuheisel"	0.0602311
Goossen	0.0598709
"Kurt Rambis"	0.059803
"Ken Hitchcock"	0.0590759
"Kevin Keegan"	0.0590105
"Tom Landry"	0.0586265
"Jerry Sloan"	0.0584474
"Claudio Reyna"	0.0582858
Winn	0.0582283
"Glen Sather"	0.0579893
"Franz Beckenbauer"	0.0576078
"Glenn Hoddle"	0.0575477
McGinnis	0.0572722
"Steve Spurrier"	0.0571356
"Bill Parcells"	0.0569665
Sampson	0.0569488
Upton	0.0568525
"Paul Westphal"	0.0567098
"Gianluca Vialli"	0.056594
Holmgren	0.0564469
"Tommy Bowden"	0.0563328
Cremins	0.0559829
Harrick	0.0559244
"Lou Holtz"	0.0552205
Groh	0.0550744
"Carl Bildt"	0.0539337
"Paul Johnson"	0.0536695
"Joe Gibbs"	0.0534567
"Alberto Tomba"	0.0530032
Holtz	0.0529758
Slocum	0.0529473
Zampese	0.0521168
Marciano	0.0521083
"Jimmy Johnson"	0.0519011
"Larry Bird"	0.0516118
"P.J Carlesimo"	0.0514597
"Luciano Pavarotti"	0.0513368
Walsh	0.0513301
"Joe Paterno"	0.0513296
"Hu Weidong"	0.0511947
"Mel Stottlemyre"	0.0509875
"Barry McCaffrey"	0.0509014
"Brian McBride"	0.0508283
masseur	0.0505405
Romero	0.0504663
"Blaine Wilson"	0.0501864
"Lothar Matthaeus"	0.0501825
"Mario Andretti"	0.0501345
"Rick Pitino"	0.0500017
"Del Harris"	0.0499515
Haskins	0.0499459
"Tom Davis"	0.0497568
"Gheorghe Hagi"	0.049518
"Bear Bryant"	0.0494755
selector	0.0493512
"Martin Meehan"	0.0492088
Zimmer	0.0492006
Layden	0.0490208
"Samuel Berger"	0.0489663
"Thomas Haessler"	0.0488385
Pelosi	0.0482161
Coughlin	0.0480537
Bettman	0.0477515
"Mark Johnson"	0.047393
"Richard Mandella"	0.0470948
Bubb	0.0470906
"Kristine Lilly"	0.0467574
Solich	0.0466582
"Gene Sperling"	0.0464994
Ava	0.0464253
"Paul Caligiuri"	0.0461453
Waddell	0.0457632
nunnery	0.0454044
"Neil Drysdale"	0.0452871
"radio announcer"	0.0451864
Blondie	0.045098
"Nuon Chea"	0.0446467
Fulmer	0.044625
Polti	0.0445889
"Carl Lewis"	0.0445001
"Clyde Drexler"	0.0442267
Milutinovic	0.0441824
"Mike Scioscia"	0.0441658
"Bobby Knight"	0.0440104
"George Karl"	0.0438341
"Peter Lynch"	0.0436625
Andrea	0.0435955
"Gary Stevens"	0.0431219
chaperone	0.0430063
Espinosa	0.0428766
"June Jones"	0.0428207
He/she	0.0425607
Berle	0.0424768
"Vanessa Atler"	0.0424556
"Michelle Akers"	0.0422569
Davie	0.0421322
"Kasey Keller"	0.0421018
"Aaron Spelling"	0.0420192
Iger	0.041841
"Dominique Moceanu"	0.0417107
"Faisal Husseini"	0.0415727
"League of Conservation Voters"	0.0415545
"sparring partner"	0.0414881
))
(Belacevac (desc 1343.77) (sims
Decani	0.248732
Kijevo	0.155754
Kitona	0.144045
"Suva Reka"	0.136952
Orahovac	0.134972
Prijedor	0.116348
Djakovica	0.113135
Junik	0.112757
Podujevo	0.104207
"Abu Dis"	0.0961435
Yorkshire	0.0959828
Drenica	0.0944008
Bamiyan	0.0937787
Posoltega	0.0923055
Urosevac	0.0900327
Baalbek	0.0879968
Malisevo	0.0867467
Racak	0.0861061
Carmel	0.0855938
Kanungu	0.0855161
Uvira	0.0831078
Kennebunkport	0.0824215
Nabatiyeh	0.0808963
Urus-Martan	0.0797797
Rafah	0.079403
Ojai	0.0789485
Mankulam	0.0786076
Shali	0.0758383
"SIERRA BLANCA"	0.0752936
Cordova	0.0752371
Skaneateles	0.0749772
PEC	0.0736219
Badme	0.0727395
Ruhengeri	0.0725408
Gisenyi	0.0721603
Vedeno	0.0720088
Mazar-e-Sharif	0.0716007
Morogoro	0.0708475
cinder	0.0704907
Missoula	0.0702878
Kono	0.0701028
Ballymoney	0.0694246
"Pacific Palisades"	0.0690348
Eschede	0.0687865
seaside	0.0686508
Panmunjom	0.0681272
"Lake Ontario"	0.0679811
"Kosovo Polje"	0.0672306
Eureka	0.0647245
Gujarat	0.0640464
Taba	0.0637934
Blace	0.0622044
"Palm Springs"	0.0620244
Khost	0.0620131
"Paradise Valley"	0.0619552
"San Miguel"	0.0616239
Tachilek	0.0615535
Libby	0.0613601
"Century City"	0.0612265
Elton	0.0611763
Ensenada	0.0610282
"San Cristobal"	0.0606072
Murmansk	0.0604995
"Palm Beach Gardens"	0.0603617
Nablus	0.0601158
"Big Sur"	0.059738
Lhokseumawe	0.0587266
Zonolite	0.0586548
"French Alps"	0.0584788
Izmit	0.0583976
Bundibugyo	0.0583765
Surrey	0.0582545
Heidelberg	0.0579271
Ipswich	0.0576875
Cornish	0.0576024
Prescott	0.0575884
Samara	0.0575801
Bukavu	0.0567427
"Ministry of Energy"	0.05623
Gudermes	0.0561345
Khabarovsk	0.0560933
Makeni	0.0552061
Marjayoun	0.0547615
Moshi	0.0546099
Talipao	0.0543525
"Anlong Veng"	0.0540947
"Santo Domingo"	0.0540938
Sakhalin	0.0538502
"Dongting Lake"	0.0536469
Dundalk	0.0533744
ASHEVILLE	0.053242
Vukovar	0.0530419
"North Island"	0.0529374
Kigoma	0.0528714
Dushanbe	0.0528712
Kukes	0.0527837
Omagh	0.0524585
"Happy Valley"	0.052458
Montpelier	0.0524265
Bekaa	0.0515401
Taloqan	0.0515257
slurry	0.0514912
Cavalese	0.0512747
Kilinochchi	0.0509733
"gas plant"	0.0509585
"Everglades National Park"	0.0508351
Paphos	0.050757
Gnjilane	0.0506778
Kraljevo	0.0505754
Dubrovnik	0.050331
Jaffna	0.0501948
Tanga	0.0500291
Suva	0.0500094
Pueblo	0.049756
"San Francisco Bay"	0.0497283
BRIGHTON	0.0495031
"Mississippi Delta"	0.0493785
Assisi	0.0492099
"Hyannis Port"	0.0491869
Laramie	0.0489014
Ashland	0.048813
Ozarks	0.0487049
Carthage	0.0486927
"East Hampton"	0.0485012
Telluride	0.0484581
Provence	0.0482674
"Huntington Beach"	0.0480145
Krasnoyarsk	0.0478719
"Number @"	0.0478207
Pompeii	0.0477822
"Interstate @"	0.0477514
Farmington	0.0477394
Pailin	0.0477346
Guadalajara	0.0475764
Ridgewood	0.0475508
Bridgehampton	0.0473949
"Western Pacific"	0.047335
Abkhazia	0.0472099
Riverdale	0.0470943
Berber	0.0468747
"Bel Air"	0.0466681
Tigray	0.0466489
"Leeward Islands"	0.0464367
"Dead Sea"	0.0463384
"Mission Viejo"	0.0461672
Caprivi	0.0461059
"Lake Tahoe"	0.0460345
"Baltic Sea"	0.0459965
Manitoba	0.0459731
"Nile River"	0.0456925
Braintree	0.0455957
"Mekong Delta"	0.0455571
Lockerbie	0.0454413
Vlore	0.0453078
"W.R. Grace"	0.0452639
"San Angelo"	0.0450695
Piedmont	0.0450343
"Rocky Mountains"	0.0449037
Naperville	0.0448808
Prizren	0.044879
Winchester	0.0448344
Peshawar	0.0447123
cobalt	0.0446316
Kaliningrad	0.0445357
Rhone	0.0444839
canary	0.0444059
Kenema	0.0443283
Rajshahi	0.0442161
mountaintop	0.0441805
"Sierra Nevada"	0.0440819
"Far Eastern"	0.0439694
"West Los Angeles"	0.0438943
"Great Neck"	0.0438104
Savoy	0.0437802
Bengkulu	0.0437254
"Virginia Beach"	0.0437218
"Mississippi River"	0.0436795
"North Mogadishu"	0.0435312
Leningrad	0.0435206
Mbarara	0.0435036
Kargil	0.0434737
Juba	0.0434717
"Port Arthur"	0.0433091
Odessa	0.0431952
Baidoa	0.0431774
Arua	0.0431753
Srinagar	0.0431482
Argun	0.0428954
Batticaloa	0.0427588
"Gun Ri"	0.0426553
Zamboanga	0.0426149
"Eastern Cape"	0.0425369
Skopje	0.0425336
Puglia	0.0424539
Antalya	0.0424374
Limassol	0.0423787
Reston	0.04222
Cargill	0.0421692
Calabria	0.042127
"New Canaan"	0.0420544
))
(Belanger (desc 2223.19) (sims
"Ken Belanger"	0.0980894
Thornton	0.0920916
Laperriere	0.0914948
Bradshaw	0.0887303
Daigle	0.0885305
Andreychuk	0.0850481
Laudrup	0.0845401
"P.J Axelsson"	0.0835183
"Don Sweeney"	0.0815111
"Chris Taylor"	0.0811291
Khristich	0.0801025
nance	0.0772864
Graziani	0.0760309
Bowles	0.0728345
Shoate	0.0722253
Roenick	0.0721138
Henning	0.071004
Reichel	0.0703797
ALLISON	0.07002
Gilmour	0.0699515
Gatling	0.0686011
Donato	0.0684673
Guillen	0.0681406
Dunston	0.0675249
Heinze	0.0674588
Kapler	0.0668178
Artest	0.0660904
Vizcaino	0.066072
Yount	0.0658901
Muckler	0.0651396
Woolley	0.0642483
Smolinski	0.0638947
Tverdovsky	0.0637045
Stumpel	0.0631175
Pearce	0.0624415
al-Tikriti	0.062099
"Anson Carter"	0.0620971
"Tim Taylor"	0.0620518
"Scotty Bowman"	0.0620504
Recchi	0.061901
Cabrera	0.0616131
"John J. Gotti"	0.0611925
Cota	0.0607993
Abram	0.0607347
Skiles	0.0605337
McGowan	0.0604087
Kariya	0.0603481
Tierney	0.0595826
"Steve Heinze"	0.0594386
"Alen Boksic"	0.0593677
Passarella	0.0591245
Sim	0.0590259
Ervin	0.0587074
Grudzielanek	0.0584691
"Joe Murphy"	0.0584136
Harbaugh	0.0582691
Beilin	0.0575932
Berard	0.0575217
Atwood	0.0574163
Smyers	0.057118
Puente	0.0570673
Mondale	0.0570354
Autry	0.056866
Tuinei	0.0568544
Mustafa	0.0568256
Monahan	0.0567446
Mora	0.0567294
Bodine	0.0566245
"Sandy Alderson"	0.0565361
Dellucci	0.0565125
Donohue	0.05631
DiSarcina	0.0562267
Peca	0.0561407
Giambi	0.0558582
Barad	0.0557805
Mueller	0.0557393
Wyatt	0.0556651
Najera	0.055562
Parris	0.055448
Isringhausen	0.0551742
Talebi	0.0549972
Fuentes	0.0549255
Brownlee	0.0548261
Dele	0.0547861
Ehrlichman	0.05471
Norstrom	0.0546412
Briere	0.0542934
Weisman	0.0541586
Rove	0.0541247
Perrot	0.0539268
Atwater	0.0539081
Baird	0.0538441
Chastain	0.0537233
Jaffe	0.0537143
Mandella	0.0537104
"Manny Malhotra"	0.0537023
Shurmur	0.0534895
Billick	0.0534673
Wolfensohn	0.0534669
Robitaille	0.053457
Chmura	0.0534223
Lowry	0.0533387
Yzerman	0.0532163
Rollins	0.0531687
Gardiner	0.0531519
Irvan	0.0531263
Samsonov	0.0530794
Swann	0.0528702
Sahadi	0.0528289
Gervin	0.0528085
Biffle	0.0527893
Gogel	0.052419
Lemieux	0.0524109
Durwood	0.0523792
Ferraro	0.0522024
Bourque	0.0521603
Nkomo	0.0521047
Byrdsong	0.0520721
Piot	0.0519018
Wilkins	0.0517809
Heinrichs	0.0517401
Chamberlain	0.0516578
Canty	0.0514513
Elie	0.0512527
Sydor	0.0512213
Vizquel	0.0511925
Hendrickson	0.0511923
LeClair	0.0511596
Kessler	0.0510773
Janikowski	0.0509512
Reiner	0.0509099
"Bobby Holik"	0.0508946
Merrick	0.0506817
Wiley	0.0505593
Stoudamire	0.0505303
Poole	0.0504392
Lindros	0.0503509
Gagne	0.0502769
Gossage	0.0500199
Rucchin	0.0499196
Silverstein	0.0498946
Calcavecchia	0.0498647
"Landon Wilson"	0.0497915
Brashear	0.0497904
"Dave Andreychuk"	0.0497585
Cai	0.0496811
Postel	0.0496594
Zanardi	0.0496588
Foyt	0.049614
"Jeff Hornacek"	0.0495571
Irwin	0.0495085
Rahman	0.0494921
"Vitaly Potapenko"	0.0494745
Merloni	0.0494726
Dudley	0.0494615
McGuinness	0.0494032
Mohamed	0.0493812
Weinke	0.049345
Tilberis	0.0493367
Ripken	0.0491963
Silas	0.0491654
Kovalev	0.0490481
Baerga	0.0490258
Ikimi	0.0489019
Garnett	0.0487866
Messier	0.048625
D'Alessandro	0.0486155
Sykora	0.0485678
Plunkett	0.0485032
O'Neil	0.0483958
Bordick	0.0483528
Symons	0.0482561
Reyna	0.0482089
Bullard	0.0480264
Lankford	0.047967
Devers	0.0478971
Kuchar	0.0478959
lacy	0.0478915
Carbonneau	0.047776
Moonves	0.0477614
Andretti	0.0476886
Chilavert	0.0476537
Huang	0.0476382
DiPietro	0.047575
"Ken Johnson"	0.0475649
McKinnon	0.0475222
Zico	0.0474833
Ratliff	0.0474094
Hatfield	0.04734
Zou	0.0472858
Montoya	0.047284
Friedman	0.0472701
Baba	0.0472132
Alcantara	0.0472092
Drexler	0.0468615
Modano	0.0468561
granger	0.046745
Meggett	0.0466581
Seanez	0.0466275
Halberstam	0.0465673
))
(Belarus (desc 37935.1) (sims
Ukraine	0.218334
Uzbekistan	0.214594
Latvia	0.21207
Bulgaria	0.210958
Kazakhstan	0.208409
Lithuania	0.206302
Moldova	0.204541
Hungary	0.203808
Slovenia	0.198282
Romania	0.196484
Slovakia	0.191846
Armenia	0.188984
Estonia	0.188893
Azerbaijan	0.182956
Poland	0.181133
Finland	0.179323
Norway	0.173582
Turkmenistan	0.172488
Austria	0.16817
Mongolia	0.163236
Kyrgyzstan	0.162256
Sweden	0.16185
Russia	0.160727
Belgium	0.15915
Croatia	0.158447
"Czech Republic"	0.158305
Greece	0.154512
"South Korea"	0.15241
Kazakstan	0.151435
Netherlands	0.149574
Denmark	0.148885
Tunisia	0.145084
Switzerland	0.142858
Iceland	0.140785
Italy	0.140636
Portugal	0.13984
Kirghizstan	0.138684
Argentina	0.137957
Germany	0.136676
"South Africa"	0.13631
Spain	0.136183
France	0.135883
Qatar	0.135613
Iran	0.134162
Algeria	0.133929
Tajikistan	0.13363
Malaysia	0.12936
Oman	0.128865
Egypt	0.128353
Macedonia	0.128169
Turkey	0.128109
Morocco	0.127382
"Saudi Arabia"	0.12714
Brazil	0.126174
Canada	0.125201
Malta	0.125077
Luxembourg	0.124386
Ecuador	0.12431
Thailand	0.123885
Ireland	0.123792
Cuba	0.123652
Yugoslavia	0.123297
Peru	0.122172
Pakistan	0.122126
Uruguay	0.122118
Cyprus	0.121914
Republic	0.121796
Japan	0.121246
Philippines	0.121132
Australia	0.120828
Namibia	0.120404
"New Zealand"	0.119556
China	0.119049
Kuwait	0.11878
Nigeria	0.117756
"Slovak Republic"	0.116857
Venezuela	0.116756
Cameroon	0.115821
Albania	0.114929
Chile	0.114453
Bahrain	0.114443
Ghana	0.114211
India	0.113213
Mozambique	0.112835
Zambia	0.112249
Guatemala	0.112215
Mexico	0.112032
Colombia	0.111975
Bolivia	0.111942
Bangladesh	0.111847
"Republic of Korea"	0.111808
Paraguay	0.111185
"United States"	0.111114
"United Arab Emirates"	0.111077
Zimbabwe	0.109465
Indonesia	0.108894
Vietnam	0.108725
Cambodia	0.108277
"Sri Lanka"	0.108085
Ethiopia	0.108084
"Chinese Taipei"	0.107438
Britain	0.107188
Bosnia-Herzegovina	0.106884
Kenya	0.106854
Laos	0.106302
Yemen	0.106237
Senegal	0.105034
Georgia	0.104849
"Costa Rica"	0.10409
Scotland	0.102961
Nicaragua	0.102371
"Papua New Guinea"	0.10052
Honduras	0.100369
Jamaica	0.100111
"DPR Korea"	0.099889
UAE	0.0998192
Tanzania	0.0995782
"European country"	0.0994125
England	0.0986102
Syria	0.0983988
Mauritius	0.0979678
"Dominican Republic"	0.0974524
Myanmar	0.0973826
Korea	0.0973229
Togo	0.0968928
Nepal	0.0968625
Libya	0.0966237
Botswana	0.0965706
Mali	0.0965558
"North Korea"	0.096354
Czechoslovakia	0.0959468
Panama	0.0955038
"El Salvador"	0.0947591
Israel	0.0937431
Uganda	0.0934148
Angola	0.0932593
Singapore	0.0931702
Tadzhikistan	0.092337
Fiji	0.0921695
Bosnia	0.0920712
Brunei	0.0920595
ROK	0.0916811
Sudan	0.0916621
"The Netherlands"	0.0909047
Gabon	0.0898689
Malawi	0.0897792
Moscow	0.088704
Afghanistan	0.0886127
Serbia	0.0874803
"African country"	0.086983
Guinea	0.08663
Haiti	0.0865501
Maldives	0.086543
Madagascar	0.0863355
Montenegro	0.086233
"Trinidad and Tobago"	0.0860239
Iraq	0.0860095
"Russian Federation"	0.0858928
"Sierra Leone"	0.0858649
Andorra	0.0856769
Taiwan	0.0856298
"Soviet Union"	0.0855094
"San Marino"	0.0854253
Barbados	0.0852034
"Asian nation"	0.0850668
Niger	0.0850374
"Ivory Coast"	0.0849448
Burundi	0.0848168
Chechnya	0.0846564
Liberia	0.0840063
Wales	0.0838551
"United Kingdom"	0.0836829
Eritrea	0.0835612
Benin	0.0835351
Lebanon	0.0832227
"Asian country"	0.0831873
EU	0.0830926
"Balkan country"	0.083013
Taipei	0.0828439
"Democratic People's Republic of Korea"	0.0824043
Jordan	0.0819219
Djibouti	0.0807964
Burma	0.0806845
Czech	0.0806533
"Northern Ireland"	0.0804653
Holland	0.0802091
"Great Britain"	0.0796647
DPRK	0.079184
Abkhazia	0.079071
Rwanda	0.07897
"European Union"	0.0776487
"Middle East"	0.0774705
U.S.	0.0774244
Swaziland	0.077415
Surinam	0.07608
Lesotho	0.0759843
"Burkina Faso"	0.0757754
Palestine	0.0755628
"Hong Kong"	0.0751398
Belarussian	0.0747326
))
(Belarusian (desc 2116.49) (sims
Belarussian	0.392776
Latvian	0.241588
Tajik	0.226948
Azerbaijani	0.220679
Moldovan	0.219277
Estonian	0.216504
Kyrgyz	0.207967
Kazakh	0.197325
Ecuadorean	0.196002
Montenegrin	0.195572
Camerounian	0.1955
Uzbek	0.190382
Botswanan	0.188436
Kazak	0.181954
Turkmen	0.178355
Ukrainian	0.177313
Slovak	0.17468
"Sri Lankan"	0.174428
Ivorian	0.171952
Zairian	0.170648
Armenian	0.17018
Azeri	0.168234
Ingush	0.163638
Ecuadoran	0.156922
Lithuanian	0.148374
"Costa Rican"	0.146195
"South Korean"	0.142433
Rwandese	0.138357
"Saudi Arabian"	0.134222
Ukranian	0.131148
Abkhazian	0.13093
"North Korean"	0.12993
Maltese	0.127864
Slovakian	0.125687
Icelandic	0.125596
"South Vietnamese"	0.124906
Danish	0.12064
Philippine	0.117642
Turkish	0.115095
Finnish	0.11352
"Sierra Leonean"	0.110073
Chechen	0.108713
"Western European"	0.105548
Muslim-Croat	0.103596
Swedish	0.10235
"Central American"	0.101987
"more than @@ billion"	0.0965077
UML	0.0961713
"Israeli Arab"	0.0956458
"Russian Communist Party"	0.0954363
"Northern Irish"	0.0938349
"the US"	0.0925164
"South African"	0.092366
hardline	0.0915785
"Bosnian Serb"	0.0899954
"Bosnian Muslim"	0.0895377
"about @@ billion"	0.088988
Somaliland	0.0886675
Korean	0.0881896
Okinawan	0.0872981
Catalan	0.0852612
"Southeast Asian"	0.0848868
"East Asian"	0.0846919
Lao	0.0844164
"East German"	0.0836514
Greek	0.0817007
"About @ billion"	0.0814465
Portuguese	0.0813845
slain	0.0812922
PNG	0.0796312
"U.S. Soccer Federation"	0.0788703
Kashmiri	0.0787934
Sandinista	0.0787915
BASQUE	0.0780284
"Turkish Cypriot"	0.0762307
Dutch	0.0744553
"Eastern European"	0.0739515
Croat	0.0731469
"Kosovar Albanian"	0.0721694
Soviet	0.0716074
Kiribati	0.0715537
Scottish	0.0705738
ABS-CBN	0.068355
Kosovar	0.0681667
"another seven"	0.0681501
"Latin American"	0.0680015
RCN	0.0666947
"East European"	0.0666743
non-Jewish	0.06593
"Solomon Islands"	0.0654785
MMD	0.0653804
pro-Islamic	0.0648908
pro-western	0.064639
dovish	0.0641255
Hesse	0.0640024
"Bosnian Croat"	0.0633026
CFA	0.0615547
"two billion"	0.0611642
PSE	0.0611626
"Greek Cypriot"	0.061016
"Central Asian"	0.0607687
Welsh	0.0607425
UAE	0.060443
ROK	0.0601
dot.com	0.0600231
"another @ million"	0.0594537
ex-communist	0.0592225
"New Democracy"	0.0587796
Sindh	0.0585332
"Ethnic Albanian"	0.0573453
Taleban	0.0573044
ACP	0.0570662
USSR	0.0567628
"another nine"	0.0566295
"House GOP"	0.0566291
"Puerto Rican"	0.0566049
Davidian	0.0563428
"two dozen"	0.0562228
"other @@@"	0.056142
CNOOC	0.0560655
Lesotho	0.0557053
"Third World"	0.0556001
"home rule"	0.0555854
"about @.@ billion"	0.0553882
Luxemburg	0.0553535
Surinam	0.0547169
"North Vietnamese"	0.0546087
"START II"	0.0545322
Islamist	0.0543891
CTV	0.0542946
Korean-American	0.0542265
Timorese	0.0540693
"two to three"	0.0538557
Flemish	0.0538237
"National Action"	0.0537887
OCA	0.0535459
E.U	0.0535328
"six to eight"	0.0534847
Thirty-six	0.0533521
Vanuatu	0.0531478
"British Broadcasting Corp."	0.0530922
"East African"	0.0529247
"Radio Liberty"	0.0526184
"Irish Catholic"	0.0524645
"up to @,@@@"	0.0524106
Sino-Russian	0.052372
"Russian Foreign Ministry"	0.0522552
"over @@@ million"	0.052146
CBC	0.0521247
Kurdish	0.0519006
Russian-U.S.	0.0514373
Khmer	0.0514028
"close to @@"	0.0513678
"Around @@"	0.0512891
Rossotti	0.0511784
"Ulster Unionist"	0.0510339
Thirty-three	0.0508988
SFA	0.0508393
"Lower Saxony"	0.050672
"Republican House"	0.050507
Zapatista	0.0504953
"U. S."	0.0504831
Kyrgyzstan	0.0503481
JAL	0.0502149
"South Asian"	0.0501183
Pd	0.0501079
isle	0.0500868
"machinists union"	0.0499954
"Pacific Rim"	0.0498438
"Orthodox Jewish"	0.0497344
"Far Eastern"	0.0493696
IAI	0.0492748
Solomons	0.0491934
UNP	0.0491633
NDA	0.0490482
Ivoire	0.0490418
"Other @@"	0.0488659
PML	0.0488202
"Chemical Weapons Convention"	0.0487852
CSE	0.0487686
DPP	0.0487205
U.S	0.0484966
"more than @ billion"	0.0484655
Navajo	0.0484023
"more than @.@@ million"	0.0484006
"Chinese Olympic"	0.0483757
G-@	0.0482662
Nepali	0.0481935
"over @.@ million"	0.0481423
"EU Commission"	0.0480106
"African American"	0.0478582
Shays-Meehan	0.0477314
NARAL	0.0477293
"Christian Democrat"	0.0477258
NDP	0.0476755
WOODWARD's	0.0475645
"South American"	0.047425
"more than @@@@"	0.0474201
"Afghan Taliban"	0.047418
IMS	0.0473263
))
(Belarussian (desc 3402.55) (sims
Belarusian	0.392776
Latvian	0.229734
Lithuanian	0.21093
Kazakh	0.210457
Tajik	0.208466
Kyrgyz	0.203643
Estonian	0.196463
Slovak	0.1953
Moldovan	0.194012
Ukrainian	0.189324
Azerbaijani	0.186278
Camerounian	0.177182
Maltese	0.175994
Uzbek	0.174943
Kazak	0.172354
Armenian	0.168027
Montenegrin	0.167838
Turkmen	0.161121
Ivorian	0.158858
Azeri	0.157963
Slovakian	0.146561
Zairian	0.142861
Botswanan	0.14225
"Costa Rican"	0.14091
"Sri Lankan"	0.140627
Ecuadoran	0.137437
"Saudi Arabian"	0.134498
Ingush	0.132611
Finnish	0.13071
Ecuadorean	0.129283
Icelandic	0.124685
Turkish	0.122961
Swedish	0.121737
"South Korean"	0.11828
Rwandese	0.114675
Ukranian	0.113543
Danish	0.113382
Chechen	0.112989
"Sierra Leonean"	0.104014
Abkhazian	0.103826
Lao	0.101782
"North Korean"	0.0991699
"Bosnian Serb"	0.0963554
"Russian Communist Party"	0.0949991
Philippine	0.0949198
Greek	0.0932548
hardline	0.0912795
"South Vietnamese"	0.0894136
Somaliland	0.0867807
Korean	0.0852602
Luxemburg	0.084903
"Israeli Arab"	0.0845723
"South African"	0.0827822
ROK	0.082305
Portuguese	0.0811073
PNG	0.079441
Dutch	0.0762641
"Central American"	0.0758657
"Northern Irish"	0.0752612
Belarus	0.0747326
Sandinista	0.0747297
Kosovar	0.0738683
"Kosovar Albanian"	0.0737732
Kiribati	0.0725986
"the US"	0.0720392
"Bosnian Muslim"	0.0717193
ex-communist	0.0715698
"other @@@"	0.0713843
pro-western	0.0711703
Vanuatu	0.0701391
"Greek Cypriot"	0.0697288
Croat	0.069686
"Russian State Duma"	0.0693368
"Western European"	0.0690199
"New Democracy"	0.0689189
"Christian Democrat"	0.0684364
Muslim-Croat	0.0672315
UAE	0.0666809
"Lower Saxony"	0.0656216
"Social Democratic"	0.0655407
Irish	0.0651263
"East European"	0.0643304
Catalan	0.0642549
"Bosnian Croat"	0.064246
"Southeast Asian"	0.0638284
Islamist	0.0637879
"Kosovo Albanian"	0.0635457
Yemeni	0.0629962
UML	0.0627854
"East German"	0.0626647
"U.S. Soccer Federation"	0.0623618
"Turkish Cypriot"	0.0623046
Tatar	0.0621435
gamecock	0.0620109
"another seven"	0.0619483
Soviet	0.061914
Yugoslavian	0.061615
DPRK	0.0600741
Hungarian	0.0596575
Sudanese	0.0587911
"Barisan Nasional"	0.0582689
Dutchman	0.058168
"Wlodzimierz Cimoszewicz"	0.0578099
MMD	0.0574065
RPR	0.05711
Vice-Foreign	0.0570978
"Central Asian"	0.0569031
Okinawan	0.0566291
"South American"	0.0566001
USSR	0.0564252
Ecuadorian	0.0559338
"Valery Pustovoitenko"	0.0555418
BASQUE	0.0553613
CPAFFC	0.0549699
dovish	0.0549396
"Wang Zhizhi"	0.0548562
"little leaguer"	0.0544667
Nepali	0.0542186
"Van Roost"	0.0539227
Kashmiri	0.0537744
"Ulster Unionist"	0.053734
Surinam	0.053576
"NZ First"	0.0534438
pro-Islamic	0.053389
SEF	0.053182
Zanzibar	0.0531134
"About @ billion"	0.0529351
Mongolian	0.0526752
Spadea	0.0526092
Djibouti	0.0525823
"lame duck"	0.0524799
Lesotho	0.0524738
Scottish	0.0522509
"Chinese Olympic"	0.0520457
Niger	0.0519675
"Russian Foreign Ministry"	0.0519523
Kyrgyzstan	0.0519371
"Chinese NPC"	0.0517559
Cypriot	0.0516171
Georgian	0.0516043
"Police Commission"	0.0513188
Namibian	0.0513011
"Senate Republican"	0.0510724
"Republican House"	0.0507773
"United National Party"	0.0507075
"up to @,@@@"	0.0505674
"Philippine Senate"	0.0502967
DYP	0.0502918
ultranationalist	0.0502256
"Around @@"	0.0502233
"Solomon Islands"	0.0501345
Uruguayan	0.0499057
"Boutros Boutros Ghali"	0.0498605
CAA	0.0498569
"Gennady Zyuganov"	0.0498039
Zapatista	0.0497397
Guinean	0.0496243
slain	0.0494557
"Cape Verde"	0.049359
NDP	0.0492824
U.S	0.0492365
Haas	0.0492159
Flemish	0.0490876
"Victor Chernomyrdin"	0.0490621
Yabloko	0.0487848
pan-African	0.0487635
"another nine"	0.0487281
Troussier	0.0487216
Kipketer	0.048473
"Chavalit Yongchaiyudh"	0.0483305
Hesse	0.0482964
madam	0.0482655
"Windy City"	0.0482578
Guinea-Bissau	0.0482456
Macedonian	0.0480882
Luxembourg	0.0480803
"Aslan Maskhadov"	0.0480645
"other seven"	0.0479026
CCPIT	0.0478569
Botswana	0.0477297
Wolfpack	0.0476206
"Mikhail Kasyanov"	0.0475363
Irishman	0.0475299
"British Foreign Office"	0.0475144
"Afghan Taliban"	0.047514
"H.D Deve Gowda"	0.0474926
"Fighting Irish"	0.0474452
"Spartak Moscow"	0.0474219
Kuwaiti	0.0473984
"Sergei Stepashin"	0.0473728
"other five"	0.0473072
Dae-jung	0.0471301
Hutu	0.0471141
SFA	0.0471095
"Social Democrat"	0.047075
"Eastern European"	0.0470221
Azerbaijan	0.0469361
"African National Congress"	0.0469073
Rahal	0.0467862
"Zimbabwe African National Union-Patriotic Front"	0.0467033
))
(Belcher (desc 5280.17) (sims
Radke	0.231214
Mercker	0.228061
Trachsel	0.217669
Harnisch	0.21637
Nagy	0.215026
Bottenfield	0.214139
Dempster	0.204093
Hershiser	0.199128
Reynoso	0.199029
Moehler	0.198293
Lieber	0.1979
Pavano	0.190844
Millwood	0.188802
Schourek	0.183817
Schoeneweis	0.181757
Hentgen	0.179252
Sele	0.178916
Dreifort	0.178441
Burkett	0.177603
Saberhagen	0.176801
Gooden	0.175826
Smoltz	0.173401
Rusch	0.171386
Checo	0.168876
Tapani	0.168666
Fassero	0.16542
Elarton	0.163212
Appier	0.162731
Benes	0.162261
Gagne	0.161466
Burba	0.160298
Rapp	0.160206
Wakefield	0.160118
Mussina	0.158553
Halama	0.157546
Yoshii	0.157356
Neagle	0.155723
Woodard	0.154907
Bohanon	0.154423
Arrojo	0.154083
Loaiza	0.153963
Helling	0.153836
Valdes	0.153812
Herges	0.153163
Nomo	0.152216
Osuna	0.15213
Percival	0.151476
Erickson	0.150412
Kile	0.150221
Etherton	0.150086
Rueter	0.149686
D'Amico	0.149046
Irabu	0.148761
Meche	0.148712
Stottlemyre	0.14856
Eldred	0.148289
Glavine	0.147968
Pettitte	0.146433
Candiotti	0.145667
Dickson	0.145196
"Tim Belcher"	0.143976
Suppan	0.143318
Mlicki	0.143276
Hermanson	0.14201
Schilling	0.141052
Astacio	0.140142
Leiter	0.140041
Daal	0.138171
Mahomes	0.137271
Finley	0.136584
McDOWELL	0.135331
Petkovsek	0.134723
Dotel	0.134155
Moyer	0.133367
Olivares	0.132996
Meadows	0.132939
Maddux	0.132489
"Chan Ho Park"	0.131363
Avery	0.129515
Schmidt	0.125583
Tomko	0.125582
"Chuck Finley"	0.124094
Ankiel	0.123515
Mantei	0.123111
"Brian Moehler"	0.123032
Bere	0.122848
Mulholland	0.121918
Borbon	0.12191
Isringhausen	0.121201
Mendoza	0.121026
Wohlers	0.120997
"Russ Ortiz"	0.120689
Perisho	0.116613
"Eric Milton"	0.115757
"Steve Sparks"	0.1156
Hampton	0.115305
Ashby	0.114409
Baldwin	0.114261
Wetteland	0.114252
Grimsley	0.113562
Wasdin	0.112879
Cloude	0.112839
Haynes	0.112572
Vazquez	0.11253
Sparks	0.11225
Remlinger	0.111778
Washburn	0.111277
Benitez	0.11083
right-hander	0.110074
Clemens	0.109698
"Shane Reynolds"	0.109214
"Ken Hill"	0.107742
Cormier	0.107487
estes	0.107477
"Hideo Nomo"	0.10747
Yarnall	0.107059
Wendell	0.106737
Heredia	0.106446
Witt	0.105954
Ortiz	0.105687
Ritchie	0.10538
"Bret Saberhagen"	0.105053
"Bartolo Colon"	0.10433
Martinez	0.103458
Rojas	0.102238
"Gil Heredia"	0.102166
Gardner	0.102014
Parris	0.10179
"Turk Wendell"	0.101785
Perez	0.101425
"Jeff Fassero"	0.101316
"BRIAN MEADOWS"	0.101179
"Jeff Weaver"	0.101035
Langston	0.101003
Hasegawa	0.100796
"Kirk Rueter"	0.10065
Bergman	0.0996502
"Kevin Appier"	0.0994115
"Andy Benes"	0.0987659
"Chris Carpenter"	0.0986665
Clement	0.0979947
Cone	0.0978943
Zimmerman	0.0969445
Cordova	0.0969037
"Mike Sirotka"	0.096114
Brister	0.0955639
Glynn	0.0955117
Fernandez	0.0955113
"Mark Portugal"	0.0953797
"Ismael Valdes"	0.095326
Abbott	0.0952422
"Jason Schmidt"	0.0945201
"Orel Hershiser"	0.0944318
"Darren Dreifort"	0.094344
"Ramon Martinez"	0.0943334
Stackhouse	0.0942061
"Pedro Martinez"	0.0941914
Hernandez	0.0941304
"Jon Lieber"	0.0940887
"Jesus Sanchez"	0.0940398
"Steve Parris"	0.0939366
Pulsipher	0.0932301
Reynolds	0.092917
"Carlos Perez"	0.0925099
Cordero	0.0923488
"Robb Nen"	0.092194
"Rolando Arrojo"	0.0915778
"Tim Wakefield"	0.09122
Holt	0.0911407
"Bryce Florie"	0.0910224
Stanton	0.0909626
"Brad Radke"	0.0908566
Saunders	0.0907745
Ramon	0.0895535
fetter	0.0893951
Guzman	0.089285
"Kent Bottenfield"	0.0892023
"Woody Williams"	0.0890849
"Darren Oliver"	0.0890582
"John Snyder"	0.0889892
"Scott Erickson"	0.0887295
Stephenson	0.088674
"Brian Anderson"	0.088628
"Mark Petkovsek"	0.08734
DiSarcina	0.0866098
"John Smoltz"	0.0865387
Zito	0.0862243
"Paul Abbott"	0.0861411
"Jamey Wright"	0.0858817
Snyder	0.0856572
"Pedro Astacio"	0.0855967
"Mike Remlinger"	0.0855668
"Rick Reed"	0.0854191
Hudek	0.0854072
"Kerry Wood"	0.0853605
"David Cone"	0.0851956
Milton	0.0851642
Olson	0.0849888
"three pitchers"	0.0848907
Hawkeyes	0.0848488
))
(belching (desc 1503.78) (sims
"second hand"	0.0874171
"dry ice"	0.0646597
Mayon	0.0566143
Cummins	0.0557725
Merapi	0.0507658
"Bud Light"	0.0505571
Carlsberg	0.0503709
"reddish brown"	0.0469159
"Miller Lite"	0.0466936
"nearly four"	0.0464465
vin	0.0446152
"Chrissie Hynde"	0.0444425
"Tom Jones"	0.0439538
"cotton candy"	0.0437573
tailpipe	0.0429734
glam	0.0422681
brimstone	0.0416404
derrick	0.0406557
TINDERBOX	0.0401447
))
(Belfast (desc 26169.2) (sims
Dublin	0.206381
Kigali	0.181435
Pristina	0.177614
Dushanbe	0.174166
Dili	0.169508
Pretoria	0.169446
Algiers	0.169211
BOGOTA	0.167353
Sarajevo	0.16543
"Cape Town"	0.157667
"Guatemala City"	0.156679
Monrovia	0.156561
Windhoek	0.154135
Havana	0.152948
Beirut	0.151869
Tbilisi	0.151644
Istanbul	0.151608
Srinagar	0.151569
CAIRO	0.150471
Riyadh	0.150184
"Tel Aviv"	0.149997
Gaborone	0.149938
Jakarta	0.149151
Oslo	0.148519
Tripoli	0.14842
"Phnom Penh"	0.148147
"Mexico City"	0.148048
Kabul	0.147181
Asmara	0.146978
TIRANA	0.14632
Vienna	0.145336
Lome	0.144818
Minsk	0.144607
Ramallah	0.144052
Amman	0.144047
LONDON	0.144025
HARARE	0.143625
Skopje	0.143383
Lusaka	0.142701
BRUSSELS	0.142622
STOCKHOLM	0.141852
Vilnius	0.141241
"Northern Ireland"	0.14078
Quito	0.140509
ZAGREB	0.140255
KIEV	0.140119
"Addis Ababa"	0.140103
LISBON	0.139947
Durban	0.13976
Tehran	0.139474
Nairobi	0.139175
BELGRADE	0.139021
Berlin	0.138995
Khartoum	0.138818
"Buenos Aires"	0.138777
Moscow	0.138666
Jayapura	0.138358
Baku	0.138285
Mogadishu	0.1381
KAMPALA	0.138072
MANAMA	0.137946
BUCHAREST	0.13745
CARACAS	0.137204
WARSAW	0.136874
SEOUL	0.1366
Helsinki	0.136016
Maseru	0.135846
"New Delhi"	0.135738
Gaza	0.134997
Prague	0.134956
Port-au-Prince	0.134846
Kinshasa	0.13402
TEGUCIGALPA	0.133853
Santiago	0.133125
Accra	0.132602
"Santo Domingo"	0.132135
Lahore	0.13196
Bonn	0.131555
Paris	0.131509
"Kuala Lumpur"	0.131364
Damascus	0.131112
SOFIA	0.129983
Madrid	0.129786
Grozny	0.12977
Lima	0.129719
ATHENS	0.129674
JOHANNESBURG	0.129647
Baghdad	0.128498
Abidjan	0.128416
Bujumbura	0.126789
Copenhagen	0.126743
COLOMBO	0.126024
Asuncion	0.125957
Tokyo	0.125875
"San Salvador"	0.125705
Chisinau	0.125574
Islamabad	0.125419
"La Paz"	0.124698
MELBOURNE	0.123894
Geneva	0.123831
"St. Petersburg"	0.123079
Karachi	0.122576
Arusha	0.12143
Luanda	0.121155
Bangkok	0.120824
HANOI	0.120721
Birmingham	0.120692
Abuja	0.120665
Rome	0.120472
Lagos	0.120446
Rabat	0.120425
Manila	0.119877
ANKARA	0.119306
"San Juan"	0.118725
Glasgow	0.118628
Mbabane	0.118368
Edinburgh	0.118047
Tashkent	0.117929
MAPUTO	0.117362
Managua	0.117323
Brazzaville	0.117208
Londonderry	0.117187
"Sao Paulo"	0.115528
Freetown	0.114753
Portadown	0.114306
Albany	0.11351
"Gaza City"	0.113091
Doha	0.113046
Kandahar	0.112832
"Gaza Strip"	0.11257
Bishkek	0.112435
Yerevan	0.112239
Frankfurt	0.111957
DHAKA	0.111947
Katmandu	0.111897
Zurich	0.111378
BUDAPEST	0.110985
NICOSIA	0.110555
Riga	0.110499
JERUSALEM	0.110358
Delhi	0.109439
Bissau	0.109367
Suva	0.109294
BEIJING	0.109077
Manchester	0.108946
Munich	0.10892
Hebron	0.108591
Bern	0.108274
Peshawar	0.108034
Goma	0.107997
Brisbane	0.10784
Strasbourg	0.107454
Kuito	0.107217
"Banja Luka"	0.107133
Makhachkala	0.106976
BRASILIA	0.106611
Ambon	0.106434
"Fort Worth"	0.105781
Omagh	0.105635
Perth	0.105187
Taipei	0.105133
Lausanne	0.104772
YANGON	0.104236
Sydney	0.104061
Amsterdam	0.103935
"Dar es Salaam"	0.103897
Bombay	0.103271
Bangui	0.103025
"Little Rock"	0.102905
Vladikavkaz	0.102738
Rochester	0.102208
Minneapolis	0.102035
"Los Angeles"	0.101966
Cardiff	0.101719
Tapachula	0.101485
Washington	0.100975
Auckland	0.10052
Naples	0.10036
Marjayoun	0.100271
"Ho Chi Minh City"	0.0995143
Tucson	0.0994684
Vientiane	0.0992383
"Oklahoma City"	0.0989952
Calcutta	0.0989485
Alexandria	0.0980771
Milan	0.0978455
Tampa	0.0976306
Dakar	0.0974983
Jaffna	0.097449
"Des Moines"	0.0971467
Phoenix	0.0971452
Austin	0.0970908
TALLAHASSEE	0.0963561
Cartagena	0.0961396
Florence	0.0961252
Chicago	0.0959904
Murmansk	0.0958444
Shiraz	0.0957946
Lhasa	0.0954705
Montreal	0.0953109
))
(Belfour (desc 14514.3) (sims
Brodeur	0.210168
Salo	0.192077
Hasek	0.187136
Fiset	0.176186
Kolzig	0.171058
Hebert	0.16715
Dafoe	0.164905
"Ed Belfour"	0.157393
Khabibulin	0.142402
"Martin Brodeur"	0.140866
"Tommy Salo"	0.140742
"Patrick Roy"	0.140254
"Guy Hebert"	0.139744
Roy	0.137343
Osgood	0.135952
Vanbiesbrouck	0.131648
Richter	0.123527
Modano	0.121722
"Byron Dafoe"	0.121013
"Mike Richter"	0.120549
Thibault	0.114242
"Dominik Hasek"	0.110115
Barrasso	0.104552
goalie	0.104486
"Tom Presthus"	0.101367
Potvin	0.101307
Grahame	0.100975
Nieuwendyk	0.0996496
Matvichuk	0.0991462
Fuhr	0.0990074
"Fred Brathwaite"	0.0987415
Dunham	0.0972271
"Chris Osgood"	0.0967503
"Tom Barrasso"	0.0965125
Turek	0.0957289
Storr	0.0951617
"Steve Shields"	0.0945433
"Sean Burke"	0.0942142
Shields	0.092982
Tallas	0.0904625
"Manny Fernandez"	0.0891855
Verbeek	0.0886019
Sydor	0.088426
"Mikhail Shtalenkov"	0.0884167
Lehtinen	0.0880454
"Jocelyn Thibault"	0.0877066
"Roman Turek"	0.0872454
Jagr	0.0853579
Joseph	0.0844306
Legace	0.0835332
"Mike Modano"	0.0831469
"John Vanbiesbrouck"	0.0829818
Carbonneau	0.0819692
"Grant Fuhr"	0.0810942
"Jamie Storr"	0.0795999
"Curtis Joseph"	0.0785448
Pettitte	0.0779294
backhander	0.0776968
"Darryl Sydor"	0.0771343
Vernon	0.0768885
"Norm Maracle"	0.0767497
Schmeichel	0.0761865
"Olaf Kolzig"	0.0755396
scurry	0.0745677
"Brett Hull"	0.0741612
Hatcher	0.0738289
"Trevor Kidd"	0.0737479
"Jorge Campos"	0.0732464
"Zach Thornton"	0.0730526
Burke	0.0730526
Dreifort	0.0720164
"Stephane Fiset"	0.0719205
Fernandez	0.0713422
"Damian Rhodes"	0.0704136
"Arturs Irbe"	0.0700977
Keane	0.0699952
Roussel	0.069508
Ranford	0.0693933
Moyer	0.0691078
"Felix Potvin"	0.068875
sabre	0.0677255
Kidd	0.0676597
"Kevin Hartman"	0.0674067
"Ron Tugnutt"	0.0669171
"Jere Lehtinen"	0.0663706
Pioline	0.0655404
Langenbrunner	0.0654132
Valdes	0.0651586
"Joe Nieuwendyk"	0.0650906
Hackett	0.0649132
"Manny Legace"	0.0648901
Eddie	0.0644966
MARBURY	0.0642298
puck	0.0637554
Knoblauch	0.0635926
Gagne	0.0630086
Helling	0.0627612
Hernandez	0.0625166
Leiter	0.0624279
"Rob Tallas"	0.0623639
"Guy Carbonneau"	0.0621619
Fassero	0.0620313
Brister	0.0618273
Mlicki	0.0615593
"Nikolai Khabibulin"	0.0615013
Kitna	0.0614731
"Peter Schmeichel"	0.0607798
"Jamie Langenbrunner"	0.0604886
Zenga	0.0601715
Chilavert	0.0596977
Agassi	0.0596783
Millwood	0.059527
Kwan	0.0593639
Iverson	0.0591791
Mercker	0.0591511
Taffarel	0.0588948
Belcher	0.0585311
Smoltz	0.0584224
"Mike Vernon"	0.058273
Flutie	0.0582235
Ivanisevic	0.0580372
Kariya	0.0579531
Bryant	0.0579292
WARRICK	0.0578073
Schoeneweis	0.0578046
Cone	0.0577974
Ewing	0.0576368
McNown	0.0575735
"power play"	0.0574058
Saberhagen	0.0573232
Yzerman	0.0572756
Nicklaus	0.0571919
hull	0.0571856
Capriati	0.0569745
"Briana Scurry"	0.0569672
Weinke	0.0568636
Testaverde	0.0567691
"Bill Buckner"	0.0567331
Clemens	0.0563869
Aikman	0.0563584
Johnson	0.0562211
Martinez	0.0557248
Waite	0.0556565
Halama	0.0555554
Wohlers	0.0553379
Mussina	0.0553256
Hingis	0.0552844
Kanell	0.0552626
Seles	0.0551259
Reynoso	0.0549936
O'Neal	0.0549357
Perez	0.0548112
Campos	0.0547335
"Scott Thornton"	0.0546388
Elarton	0.0546154
Woodard	0.0545619
"Van Raaphorst"	0.0545281
Earnhardt	0.0542256
Huard	0.0542168
Yoshii	0.0541822
Forsberg	0.0541299
Duval	0.0540129
Nomo	0.0539905
gamecock	0.0538145
goaltender	0.053722
Ankiel	0.0535269
Selanne	0.0534183
Nagy	0.0531503
Gordon	0.053148
Garciaparra	0.052994
Av	0.052959
Sprewell	0.0529236
Baerga	0.0528912
Nunez	0.0527492
Meche	0.0526629
Lemieux	0.0525334
Maddux	0.0524701
Elliott	0.0524194
"Fabien Barthez"	0.0523181
Galarraga	0.0522987
Montgomerie	0.052271
Cooper	0.0522413
Benes	0.0520562
Lieberthal	0.0518847
devil	0.0518225
Longhorn	0.0517635
"two pitchers"	0.0517223
Appier	0.0517046
Schumacher	0.0516555
Karros	0.0516169
Yashin	0.0516002
Sampras	0.051467
"Red Wings"	0.0514214
Gimelstob	0.0514018
Schourek	0.0513381
"Richard Matvichuk"	0.0510873
Sutton	0.0510361
Gooden	0.050954
Thornton	0.0508619
DeBerg	0.0508111
))
(Belfry (desc 1486.43) (sims
"Sahalee Country Club"	0.138181
"Royal Birkdale"	0.137931
"Oak Hill"	0.134129
Valderrama	0.116271
"country club"	0.11307
"LA COSTA"	0.111203
Carnoustie	0.103172
Greenbrier	0.100956
"World Figure Skating Championships"	0.0997775
"Barcelona Games"	0.0963522
"Stade Velodrome"	0.0935515
Longwood	0.0934759
"Pebble Beach"	0.0920166
"Wembley Stadium"	0.0906719
"Roland Garros"	0.0906397
"World Table Tennis Championships"	0.0897815
Pinehurst	0.0882799
"Waldorf-Astoria Hotel"	0.0882414
"Bay Hill"	0.085305
Eastbourne	0.0840971
"Memorial Tournament"	0.0822716
"Riviera Country Club"	0.0817015
"Indian Wells"	0.080253
"Shrine Auditorium"	0.0789709
"RFK Stadium"	0.0774173
"Oliver McCall"	0.0770167
"Olympic Winter Games"	0.0766516
"Gulfstream Park"	0.0761131
"University of Oregon"	0.0760251
"Watkins Glen"	0.0759636
"Bangkok Asian Games"	0.0753973
"Phoenix Open"	0.0747539
"Pleasant Valley"	0.0744387
"World Junior Championships"	0.0735712
"Eighth National Games"	0.072301
"St. Andrews"	0.0722561
"Conseco Fieldhouse"	0.0718547
Augusta	0.0711997
Pocono	0.07052
"Flushing Meadows"	0.0698961
"Melbourne Cricket Ground"	0.0697849
"Olympic Club"	0.0693089
"European Championships"	0.0690805
Pir	0.0689221
"Kyle Field"	0.0688208
"Pan Am Games"	0.067791
"Rivers Stadium"	0.0664534
"Lambeau Field"	0.0655526
"Seoul Olympics"	0.0655068
"Southeast Asian Games"	0.0653692
"National Tennis Center"	0.0652258
"New Hampshire International Speedway"	0.0651208
"Talladega Superspeedway"	0.0645896
"RCA Dome"	0.064587
"Pikes Peak"	0.0643908
"Loch Lomond"	0.0640729
"Winning Colors"	0.0638621
"European Swimming Championships"	0.0635914
"Melbourne Park"	0.0634651
"Arrowhead Stadium"	0.0633139
"World Athletics Championships"	0.0630277
"National Stadium"	0.0629676
"Thunder Gulch"	0.062845
Sahalee	0.0626583
Omni	0.0616864
"Queens College"	0.0614108
Riviera	0.0609033
"Convention Center"	0.0608308
"Wrigley Field"	0.0606566
"U.N. Headquarters"	0.060588
Oakmont	0.0599411
Medinah	0.0598376
"World Weightlifting Championships"	0.0596863
"East Asian Games"	0.0594355
"Civic Arena"	0.0594348
"Players Championship"	0.0593471
"European Championship"	0.0592065
"Nations Cup"	0.0590057
Darlington	0.0583393
"Metropolitan Opera House"	0.0583326
"World Cycling Championships"	0.0572497
Gulfstream	0.0571259
"X Games"	0.0568185
"Cambridge University"	0.0568115
"Dodger Stadium"	0.0567202
"Diaoyutai State Guesthouse"	0.0553286
Valhalla	0.0553152
"Western Open"	0.0550614
"Sheraton Hotel"	0.0548114
"Augusta National"	0.0547073
"Dunhill Cup"	0.0546956
"America West Arena"	0.0546267
"Pacific Bell Park"	0.0546041
"National Games"	0.0545481
"Lipton Championships"	0.0543776
"Giants Stadium"	0.0542151
"Great Western Forum"	0.0541523
Asiad	0.0540166
"Atlanta Olympic Games"	0.0538489
Wembley	0.0537203
"Comiskey Park"	0.0535458
"United Center"	0.0531635
"Grammy Awards"	0.0529949
"Apollo Theater"	0.0528915
"University of Colorado"	0.0526696
penitentiary	0.052572
NHIS	0.0525116
"World University Games"	0.0523858
"University of Kansas"	0.0522885
Dover	0.0521323
"Atlanta Games"	0.0520802
"Stamford Bridge"	0.0520479
Indy	0.0519798
"Francisco Franco"	0.0517251
"Cannes Film Festival"	0.0516639
"Louisiana State"	0.0516398
"Soldier Field"	0.0514248
grindstone	0.0514037
Americus	0.0512325
"Tokyo Dome"	0.0511112
"Sydney Olympic Games"	0.051095
"Devil Stadium"	0.050928
"BellSouth Classic"	0.0508936
"New York Film Festival"	0.0508522
PALERMO	0.0508428
"Continental Arena"	0.0505914
"Royal National Theater"	0.0504185
"Compaq Center"	0.0503609
"Nagano Winter Olympics"	0.0503162
Daytona	0.0502059
Paralympics	0.0501869
"Jacobs Field"	0.0500664
"Oxford University"	0.0498877
"ice rink"	0.0496423
"New York City Opera"	0.0494384
"Charlotte Motor Speedway"	0.0492675
"Reunion Arena"	0.0488601
"First Union Center"	0.0487791
"Foxboro Stadium"	0.0487754
"Basketball Championship"	0.0484241
"Jack Kent Cooke Stadium"	0.0482979
"East Lake"	0.0481832
Talladega	0.0480289
"Syracuse University"	0.0477211
Yorkshire	0.0477196
"World Trade Center"	0.0476875
"Summer Games"	0.0476696
"Ebbets Field"	0.0475931
Stormont	0.0475821
"Santa Anita"	0.0474896
"Polo Grounds"	0.047263
"Coors Field"	0.0471505
TM	0.046547
pebble	0.0464467
"Candlestick Park"	0.0459652
"Harvard Law School"	0.0459416
"Windsor Castle"	0.0459002
"John F. Kennedy Library"	0.0458917
"Sanford Stadium"	0.0458257
"Key Biscayne"	0.04543
"air force academy"	0.0454172
"Spanish Civil War"	0.0450711
"California Angels"	0.0450396
"Texas Motor Speedway"	0.0449171
"less than @@@"	0.0449065
"Cotton Bowl"	0.0448556
Sugarloaf	0.0447944
KeyArena	0.0447476
"Delta Center"	0.0446388
"Market Square Arena"	0.0445422
"SEA Games"	0.044532
"Centennial Olympic Games"	0.0444868
"Camden Yards"	0.0442669
"University of Southern California"	0.0440524
Essex	0.0440168
Keeneland	0.043942
"first cup"	0.0439266
"Wye Plantation"	0.043699
"University of New Hampshire"	0.0436913
"Huntington Beach"	0.0436251
"Mile High Stadium"	0.0436159
"University of New Mexico"	0.0435994
Monza	0.0434902
"Oakland Coliseum"	0.0433326
"Logan Airport"	0.0430962
"World Team Cup"	0.0427904
"Film Forum"	0.0427703
"Old Trafford"	0.0426544
"first CD"	0.042428
"World Swimming Championships"	0.0423596
TPC	0.0422705
"Indiana University"	0.0422648
"United Republic of Tanzania"	0.0422599
"Cleveland Clinic"	0.0422038
"Ritz-Carlton Hotel"	0.0421697
"Plaza Hotel"	0.0421652
"Continental Airlines Arena"	0.0421332
Kuching	0.0420584
"Tiger Stadium"	0.0418358
"Grand Ole Opry"	0.0417905
))
(Belgian (desc 12129.6) (sims
Norwegian	0.158998
Italian	0.147758
Austrian	0.145175
Swiss	0.143152
Scandinavian	0.133277
Briton	0.131619
Hungarian	0.131411
German	0.122942
Bulgarian	0.120377
"New Zealander"	0.117642
Canadian	0.116457
Japanese	0.112711
Brazilian	0.111843
Romanian	0.109943
Dutch	0.109751
Australian	0.108249
Slovenian	0.108058
Argentine	0.107144
Portuguese	0.106651
British	0.105809
Spaniard	0.105574
Swede	0.103996
Finn	0.103641
Czech	0.10268
Dane	0.102607
Swedish	0.101756
Russian	0.100446
Frenchman	0.0997974
Mexican	0.0992161
Colombian	0.099137
French	0.0977765
Lebanese	0.0960712
Filipino	0.0960384
"two Poles"	0.0922679
Vietnamese	0.0920495
Chilean	0.0919144
Ukrainians	0.0901551
Frenchmen	0.0900892
"South African"	0.0899119
Malaysian	0.089507
Finnish	0.0887607
Lithuanians	0.0867973
Tanzanian	0.08673
Dutchman	0.0862804
Iranian	0.0859927
Greeks	0.085628
"South Koreans"	0.0853425
Algerian	0.0843657
Thai	0.084043
Kenyan	0.0825056
Ukrainian	0.0823717
Flemish	0.082239
Irish	0.0815944
Kuwaiti	0.0799584
Spanish	0.0797985
Pakistani	0.0796692
Danish	0.0796678
Indonesian	0.0792955
European	0.0790599
Turk	0.0776541
Panamanian	0.0760076
Egyptian	0.0749559
Yugoslav	0.0742992
Ethiopian	0.0741423
Jamaican	0.0732537
Jordanian	0.0722244
Yemeni	0.0709069
Sudanese	0.0705149
"Russian Jews"	0.0703118
Moroccan	0.0700702
Bangladeshi	0.0695949
"Sierra Leonean"	0.0693471
Georgian	0.068092
Cameroonian	0.067719
Angolan	0.0676623
Turkish	0.0675764
Greek	0.0674571
Tunisian	0.067267
foreigner	0.0669341
Saudi	0.0666572
westerner	0.066594
Mozambican	0.0665577
Singaporean	0.0656656
Bosnians	0.0653237
Peruvian	0.0650732
Korean	0.0647656
Zimbabwean	0.0645462
Syrian	0.0642969
Indian	0.0641176
Popov	0.0637057
Frenchwoman	0.0635547
Guatemalan	0.0634275
Croatian	0.0624461
Iraqi	0.0622875
Brit	0.0616928
Ugandan	0.0614297
Nigerian	0.061421
diplomat	0.0613809
Persian	0.0613619
African	0.0613385
Israeli	0.0610407
Yugoslavian	0.0607736
Haitian	0.0604871
skydiver	0.0603419
Capriati	0.0603374
Namibian	0.0594963
Scots	0.0593268
Cuban	0.059177
settler	0.0590105
Croats	0.0589964
Latvians	0.0583746
Bolivian	0.0581405
Venezuelan	0.0578663
Somali	0.0575928
Nepalese	0.0575698
Scot	0.0573927
Maier	0.057357
crewmembers	0.0570063
Guinean	0.0570017
"South Korean"	0.0569223
Rwandan	0.0568577
Croatians	0.0566703
Eritrean	0.0566288
Seizinger	0.0562286
"Costa Rican"	0.0560276
firefighters	0.0559203
Zambian	0.0558471
Creole	0.055681
Englishman	0.0556687
Cypriot	0.0556131
peacekeeper	0.0553551
Koreans	0.0550052
Kournikova	0.0547123
"army officer"	0.0545052
Soviets	0.0543263
"university student"	0.0541864
Salvadoran	0.0541671
Slovak	0.0541323
"Van Roost"	0.0540741
villager	0.0535107
parachutist	0.0534406
"Greek Cypriots"	0.0534334
Macedonian	0.0534151
Californian	0.0530398
Burundian	0.0527357
Albanian	0.0522304
Safin	0.0521854
Hebrew	0.0520335
Senegalese	0.0517568
Uruguayan	0.0517268
Nicaraguan	0.0515356
Muscovite	0.051142
Chechens	0.0511329
Honduran	0.0510579
Bjorkman	0.0508526
expatriate	0.0508001
Afghan	0.0506484
Doohan	0.050551
"North Koreans"	0.0505351
Pioline	0.0503629
Arabic	0.050263
Ottey	0.0502395
policemen	0.0501481
Zairean	0.0500993
Majoli	0.0498488
businessmen	0.0494065
"military officer"	0.0492178
Liberian	0.0491114
"Kosovo Albanians"	0.0490548
"military man"	0.049023
"military personnel"	0.0488354
Hijacker	0.0485447
matador	0.0485044
"crew member"	0.0483191
soliders	0.0481464
"fire fighter"	0.0481083
tribesmen	0.0480539
Slovaks	0.0478599
guardsmen	0.0476953
Lithuanian	0.0472805
Corretja	0.0472554
Malawian	0.0472551
speller	0.0471258
Congolese	0.0468924
"Kosovo Serbs"	0.0468637
"coal miner"	0.0467028
diver	0.0466678
"police officer"	0.0466013
missionary	0.0465674
Dominican	0.0464835
Huber	0.0464529
Agassi	0.0464172
miner	0.0463754
Atlantans	0.0462994
Fernandez	0.0462321
cyclist	0.0460426
Kjus	0.0459348
"New Englander"	0.0458739
"two pitchers"	0.0457881
Mauresmo	0.0456816
))
(Belgium (desc 59218.1) (sims
Denmark	0.243356
Finland	0.242013
Netherlands	0.234791
Sweden	0.231543
Norway	0.230177
Italy	0.211532
France	0.211521
Spain	0.210303
Switzerland	0.208943
Austria	0.202951
Hungary	0.202221
Portugal	0.198223
Germany	0.196924
Argentina	0.191501
Bulgaria	0.189502
Romania	0.18909
Croatia	0.18564
Poland	0.184954
Canada	0.183577
Luxembourg	0.18328
"South Korea"	0.182141
Australia	0.17863
Brazil	0.178513
Ukraine	0.178017
"South Africa"	0.176084
Ireland	0.175744
Iceland	0.171405
"New Zealand"	0.169448
Lithuania	0.167428
Britain	0.163102
Japan	0.162368
"Saudi Arabia"	0.162003
Tunisia	0.161635
Slovakia	0.161611
England	0.161503
Slovenia	0.160953
"The Netherlands"	0.160838
Morocco	0.160687
Greece	0.15994
"Czech Republic"	0.159374
Belarus	0.15915
Chile	0.15761
Uruguay	0.155474
Thailand	0.155376
"United Kingdom"	0.153946
Malaysia	0.152961
Mexico	0.152684
Scotland	0.152277
Paraguay	0.145902
Colombia	0.144366
Jamaica	0.14386
"Costa Rica"	0.143834
Holland	0.142569
Egypt	0.142402
"Great Britain"	0.142323
Kazakhstan	0.141966
Estonia	0.140687
Russia	0.140252
"United States"	0.138501
Latvia	0.138096
Cameroon	0.137176
Ghana	0.136496
Kenya	0.136389
Algeria	0.135902
Nigeria	0.132319
Uzbekistan	0.131931
Venezuela	0.131615
Malta	0.130514
Turkey	0.130395
Qatar	0.12968
Peru	0.128726
Ecuador	0.128461
Indonesia	0.127819
Oman	0.127732
Guatemala	0.127687
Zimbabwe	0.127579
India	0.127034
Singapore	0.126966
Cuba	0.125519
Philippines	0.124675
"European country"	0.123265
"Republic of Korea"	0.122131
China	0.121128
Ethiopia	0.120531
Namibia	0.119972
Wales	0.119742
"Sri Lanka"	0.118899
"United Arab Emirates"	0.117409
Iran	0.115152
Brunei	0.114991
Senegal	0.114639
Bolivia	0.114563
Pakistan	0.114538
Mongolia	0.112538
Yugoslavia	0.111617
Armenia	0.11143
Moldova	0.110681
Albania	0.109487
Zambia	0.109009
Honduras	0.108835
Panama	0.108767
"Papua New Guinea"	0.107428
"Dominican Republic"	0.107299
Liechtenstein	0.107171
Kuwait	0.107093
Libya	0.10564
Uganda	0.105066
Nicaragua	0.105037
Tanzania	0.104926
Vietnam	0.104798
Mozambique	0.104411
Angola	0.104293
Bangladesh	0.103476
Israel	0.103103
Mauritius	0.101911
Fiji	0.101693
Cambodia	0.101624
Mali	0.101552
Bahrain	0.101227
Czechoslovakia	0.101109
"Hong Kong"	0.101068
Macedonia	0.100841
Luxemburg	0.100703
Nepal	0.0994728
Korea	0.0993971
Kazakstan	0.098959
Azerbaijan	0.0988328
"Trinidad and Tobago"	0.0981837
Georgia	0.0977369
Taiwan	0.0976675
Cyprus	0.0976117
Laos	0.0974698
"El Salvador"	0.0965812
Botswana	0.0958208
"Chinese Taipei"	0.0949036
Barbados	0.0939259
Monaco	0.0938337
Yemen	0.0938214
Europe	0.0935578
Guinea	0.0927932
"West Germany"	0.0915768
Syria	0.0907205
"Scandinavian country"	0.0906556
"Puerto Rico"	0.0903346
"DPR Korea"	0.0893974
Swaziland	0.0887798
Malawi	0.0883089
"Ivory Coast"	0.0874828
"Slovak Republic"	0.0867698
"San Marino"	0.0859329
Kyrgyzstan	0.0857322
Togo	0.0856435
Sudan	0.0853529
Republic	0.0852904
U.S.	0.0849729
Turkmenistan	0.0849384
"North Korea"	0.0836965
Jordan	0.0830198
country	0.0829361
Myanmar	0.0828064
Benin	0.0820283
"Northern Ireland"	0.0818403
"North America"	0.0814051
Haiti	0.0811175
Bahamas	0.0809615
"European Union"	0.0807097
"Asian country"	0.0806745
Madagascar	0.0801184
"European nation"	0.0800268
UAE	0.0799256
ROK	0.079909
Taipei	0.0795693
Gabon	0.0790759
UK	0.0789057
BEIJING	0.078474
Rwanda	0.0778382
Liberia	0.0776915
Lebanon	0.0773518
"African country"	0.076862
"Burkina Faso"	0.0765642
EU	0.0765202
Macao	0.0763812
Paris	0.076254
Moscow	0.0759673
Shanghai	0.0756555
Zaire	0.0754574
Asia	0.0753767
"South America"	0.075018
Tonga	0.0747477
Africa	0.0744182
Eritrea	0.0743978
Afghanistan	0.0742357
Lesotho	0.0742307
"Latin America"	0.0741078
Niger	0.0736848
BRUSSELS	0.0735867
"New Jersey"	0.0730288
LONDON	0.0729225
Bosnia	0.0728888
Barcelona	0.0728768
))
(BELGRADE (desc 90358.1) (sims
Baghdad	0.230606
Moscow	0.21688
Pristina	0.195166
Yugoslavia	0.185728
Tehran	0.185667
Sarajevo	0.183061
Beirut	0.178793
TIRANA	0.177316
ANKARA	0.177054
ZAGREB	0.171277
CAIRO	0.165672
Jakarta	0.162536
Islamabad	0.161444
Serbia	0.160408
BUCHAREST	0.159546
BRUSSELS	0.156363
"New Delhi"	0.155581
Tripoli	0.155416
KIEV	0.154828
Khartoum	0.154643
Luanda	0.154006
Nairobi	0.15349
"Tel Aviv"	0.15282
BEIJING	0.152731
Amman	0.152309
SEOUL	0.151927
Bonn	0.151088
ATHENS	0.150554
Damascus	0.15047
Kabul	0.149581
Rome	0.148573
"Phnom Penh"	0.148199
Havana	0.147301
LONDON	0.145464
Asmara	0.144632
SOFIA	0.143276
"Mexico City"	0.141819
"Addis Ababa"	0.141755
Kinshasa	0.141369
Paris	0.141183
Manila	0.141015
Washington	0.140364
Iraq	0.139599
Milosevic	0.139334
Tokyo	0.139207
Belfast	0.139021
PYONGYANG	0.13885
BOGOTA	0.138525
Vienna	0.137292
Freetown	0.137065
Kosovo	0.136978
HARARE	0.13657
COLOMBO	0.136548
BUDAPEST	0.136031
KAMPALA	0.135488
WARSAW	0.134762
Skopje	0.134131
Grozny	0.134043
HANOI	0.133781
Kigali	0.130558
JOHANNESBURG	0.130464
Prague	0.129874
Riyadh	0.129473
Pretoria	0.129288
Algiers	0.12867
Berlin	0.128269
Geneva	0.127832
Istanbul	0.126697
DHAKA	0.125633
Lusaka	0.12525
Macedonia	0.125203
"Kuala Lumpur"	0.124861
NICOSIA	0.123893
Minsk	0.123649
Dushanbe	0.123108
Libya	0.122368
Madrid	0.122206
Israel	0.121951
LISBON	0.121944
Lagos	0.121861
JERUSALEM	0.120743
Bangkok	0.120643
"Buenos Aires"	0.119492
capital	0.117906
MAPUTO	0.117837
Santiago	0.117375
Albania	0.117294
Bujumbura	0.117121
CARACAS	0.116864
Mogadishu	0.116509
Lima	0.114882
"Cape Town"	0.114633
Helsinki	0.114513
Quito	0.11442
YANGON	0.113011
Tbilisi	0.112871
Montenegro	0.112837
Gaza	0.111637
"Novi Sad"	0.110302
Dili	0.109351
Managua	0.108966
Taipei	0.108948
STOCKHOLM	0.108707
NIS	0.108231
Iran	0.10621
Monrovia	0.106202
"Guatemala City"	0.10586
Sudan	0.105732
"Dar es Salaam"	0.105512
Bosnia	0.104852
Baku	0.104721
Oslo	0.104221
Afghanistan	0.104066
Dublin	0.104019
Syria	0.103961
Turkey	0.103696
Serbs	0.103426
Lebanon	0.102873
TEGUCIGALPA	0.10141
NATO	0.100978
Ramallah	0.100689
Abuja	0.100656
Chechnya	0.0993716
"Federal Republic"	0.0987638
Eritrea	0.0979771
Pakistan	0.0979411
Shanghai	0.0977067
city	0.0976167
Russia	0.0975891
Accra	0.0975228
MANAMA	0.0972223
Kathmandu	0.0968147
Maseru	0.0966414
Ottawa	0.0959213
Rabat	0.0959087
Podgorica	0.0953127
Bissau	0.0949027
Greece	0.0943558
Durban	0.0942162
Srinagar	0.0939917
"St. Petersburg"	0.0937962
"New York"	0.0937935
Abidjan	0.0937833
Lahore	0.093557
Karachi	0.0928751
"United States"	0.0928078
Cyprus	0.0927631
Ethiopia	0.092532
"Santo Domingo"	0.0922489
Kandahar	0.092247
Windhoek	0.0920554
Frankfurt	0.092051
PEC	0.0918867
Tashkent	0.0916736
town	0.0915004
Vilnius	0.0914416
"North Korea"	0.091159
BRASILIA	0.0908902
"Sao Paulo"	0.0906994
Sydney	0.0905505
Algeria	0.0903956
MELBOURNE	0.090289
Bahrain	0.0901043
Cuba	0.090046
Amsterdam	0.0896456
"Los Angeles"	0.0893226
Egypt	0.0892691
Kuwait	0.0891505
"Saudi Arabia"	0.0890925
Kremlin	0.0890386
"Oklahoma City"	0.0888498
Taiwan	0.0886633
Prizren	0.0882683
Copenhagen	0.0874211
"Abu Dhabi"	0.0873242
TUNIS	0.0873167
Doha	0.087275
Gaborone	0.0868422
Boston	0.0865094
India	0.0864426
Taliban	0.0864408
Munich	0.0860768
France	0.0860462
country	0.085398
Britain	0.0852501
Nigeria	0.0849629
"Sierra Leone"	0.0847513
"La Paz"	0.0845148
Teheran	0.0844739
Suva	0.0844394
"Rio de Janeiro"	0.0842536
"Banja Luka"	0.0841164
"New York City"	0.0840921
government	0.0837377
Lome	0.0837355
Milan	0.0836819
Birmingham	0.0833164
SANAA	0.0832592
"San Salvador"	0.0832352
"Panama City"	0.0831109
))
(Belichick (desc 15827.3) (sims
"Bill Belichick"	0.238986
Parcells	0.185273
Groh	0.158045
"Bill Parcells"	0.146407
Wannstedt	0.136666
Holmgren	0.136199
Gailey	0.135364
Carroll	0.133035
Jauron	0.128207
Billick	0.126919
Fassel	0.12093
"Chan Gailey"	0.119123
Neuheisel	0.118729
"Pete Carroll"	0.118624
"Dave Campo"	0.116825
"Rich Brooks"	0.115605
"Al Groh"	0.115199
Shanahan	0.113694
Bowden	0.112988
Ponciano	0.112934
Rambis	0.11286
"Phil Jackson"	0.108634
Reeves	0.107978
Harrick	0.107799
Campo	0.107014
Kraft	0.101523
Monson	0.100951
"Van Gundy"	0.100015
Sampson	0.099211
Coughlin	0.0986021
Romar	0.0967232
Donnan	0.0961099
Riley	0.0958609
Vermeil	0.09387
Martz	0.0933964
"Dick Jauron"	0.0927443
McGinnis	0.0924059
Pitino	0.0915506
"Jimmy Johnson"	0.0913594
"Tim Floyd"	0.0909024
"Bora Milutinovic"	0.0907536
"Mike Shanahan"	0.0903829
"Mike Holmgren"	0.0903663
Tobin	0.0886242
Franchione	0.0884668
Kearin	0.0884399
"TOM COUGHLIN"	0.0881234
Donahue	0.0877417
Johnson	0.086745
Scioscia	0.0865503
Schottenheimer	0.086458
"Mike Ditka"	0.0854175
"Brian Billick"	0.0834075
"Dennis Green"	0.0833985
O'Brien	0.0830455
Duquette	0.0827776
Torre	0.0823773
Jackson	0.0822662
"Mike Martz"	0.081985
Spurrier	0.0819795
Leyland	0.0818868
Coelho	0.0814626
Hackett	0.0811162
Talebi	0.0798909
Rodman	0.0795846
Milutinovic	0.0793717
"Dan Reeves"	0.0792106
Hartsburg	0.0791989
Westphal	0.0791765
Ditka	0.0791303
Dungy	0.0789508
"Chris Palmer"	0.0789353
"Joe Gibbs"	0.0785947
"Jim Harrick"	0.0784763
Lombardi	0.0784486
Testaverde	0.0781435
patriot	0.0780621
Bledsoe	0.0778613
Landry	0.0777821
"Kurt Rambis"	0.0776745
Lavin	0.0775637
Cowens	0.0773938
"Pat Riley"	0.0767894
Schmid	0.0765453
"Dave McGinnis"	0.0762449
Seifert	0.0760196
Gingrich	0.0759748
"Pat Burns"	0.0758447
Snyder	0.0755599
Ritter	0.0755362
Tomey	0.0753907
"Scotty Bowman"	0.075019
Mariucci	0.0748795
McDyess	0.0747547
Popovich	0.0747123
fisher	0.0741911
Polian	0.0740862
Steele	0.0740359
"Dom Capers"	0.0740193
Slocum	0.0739725
Troussier	0.0734877
Toledo	0.0733499
Gullit	0.0732975
Passarella	0.0732638
Waddell	0.0728143
Jarvis	0.0725565
"John Robinson"	0.0724755
Hoffman	0.0723543
"Don Zimmer"	0.0721705
Casserly	0.0718902
Skiles	0.0718557
Zimmer	0.0713706
Brister	0.0710357
"Ray Rhodes"	0.0707106
Keenan	0.0706657
Symington	0.0706376
"Bill Walsh"	0.0705702
Welch	0.0702821
Drexler	0.070251
Calhoun	0.070224
smith	0.0701044
DiCicco	0.0701012
"Don Baylor"	0.0699914
beamer	0.0699824
Flutie	0.0699651
Bennett	0.0698779
Nelson	0.0694681
Hoddle	0.0693671
Tubbs	0.0691833
Gillick	0.0691801
Steinbrenner	0.0691707
Modell	0.0689727
Calipari	0.0688445
Malone	0.0688205
Neilson	0.0687766
Payne	0.0687409
Katzenberg	0.0687078
Floyd	0.0686828
Elway	0.0686089
Zolak	0.0685216
Wilkens	0.0685037
Giuliani	0.0684517
Holtz	0.0683672
Ferguson	0.0682264
Gretzky	0.0682049
"Bob Knight"	0.0679821
Sather	0.0679224
Piniella	0.0678587
Camacho	0.0678536
McCurry	0.0677408
"Bill Cowher"	0.0677017
Walsh	0.067553
Livingston	0.0674519
Mirer	0.0674363
Robinson	0.0674119
Reilly	0.067233
Rhodes	0.0669904
Murr	0.0669351
Barnett	0.0669136
ROMNEY	0.0668806
"Lenny Wilkens"	0.0666571
Reid	0.0666491
Barnes	0.0665778
Tomjanovich	0.0665326
"Rick Pitino"	0.0664852
WARRICK	0.066385
martin	0.0662022
Eskew	0.0660677
Casey	0.0660478
Fulmer	0.0660189
"Larry Bird"	0.0659942
Vogts	0.0659699
Weis	0.065955
Zambrano	0.0657496
knight	0.0656933
Burns	0.065687
Hastert	0.0656386
Crenshaw	0.0655253
Sprewell	0.0652702
Dierker	0.0652446
"Dave Wannstedt"	0.0651991
Nomo	0.0651408
Schaeuble	0.0649964
"Bela Karolyi"	0.0647674
Haskins	0.0646457
Solich	0.064589
Daly	0.064412
Samaranch	0.0643681
Tuberville	0.0643539
Bettman	0.0643456
Thompson	0.064317
Arum	0.064316
Hargrove	0.0640738
Erickson	0.0640027
DONOVAN	0.0639859
Jones	0.0636979
Edwards	0.0636441
Ainge	0.0635666
Clark	0.0635247
Silas	0.0634033
))
(belief (desc 106361) (sims
faith	0.18504
desire	0.138957
"religious belief"	0.126073
principle	0.123913
philosophy	0.122091
perception	0.119566
view	0.117588
determination	0.117374
confidence	0.114364
ideology	0.114139
religion	0.113898
notion	0.113535
attitude	0.11304
interest	0.112456
opinion	0.110984
commitment	0.110572
feeling	0.109609
tradition	0.10957
conviction	0.106903
fear	0.106444
idea	0.106196
concern	0.105463
theory	0.105103
assumption	0.104211
ideal	0.102687
sense	0.102346
fact	0.101066
expectation	0.100752
vision	0.100032
value	0.0999506
willingness	0.0992722
wish	0.0991291
sentiment	0.098744
concept	0.0982805
doctrine	0.0966322
ethic	0.0955532
hope	0.0950055
aspiration	0.0936155
policy	0.0934611
wisdom	0.0927028
spirit	0.0925504
assertion	0.0918628
resolve	0.0916541
loyalty	0.0911208
ability	0.0908856
thought	0.0904429
knowledge	0.0888949
intention	0.0888369
position	0.088707
need	0.0881351
culture	0.0874657
stance	0.0869266
teaching	0.0867486
viewpoint	0.0867303
optimism	0.0862522
experience	0.0860506
thinking	0.0856505
truth	0.0855767
identity	0.0852354
pride	0.0849858
trust	0.0849315
suspicion	0.0843311
strength	0.0841147
passion	0.0840355
claim	0.0838007
understanding	0.083628
behavior	0.083381
interpretation	0.0832523
strategy	0.0830936
support	0.0830577
ambition	0.0827
stereotype	0.0822011
love	0.0817006
decision	0.0815512
myth	0.0814751
approach	0.0810107
instinct	0.0803787
habit	0.0802724
prejudice	0.0800468
believer	0.0799167
style	0.0792951
role	0.0789544
worry	0.078785
heritage	0.077812
reality	0.0774156
devotion	0.0773161
relationship	0.0772483
theme	0.0771336
emotion	0.0770338
practice	0.076818
responsibility	0.0767896
judgment	0.0764949
nature	0.0764493
bias	0.0762236
discipline	0.0761627
enthusiasm	0.0761537
morality	0.0760781
preference	0.075779
statement	0.0755423
refusal	0.0753504
speculation	0.075245
difference	0.0752411
effort	0.0750039
promise	0.0750014
prediction	0.0750006
integrity	0.0744975
mentality	0.0744217
courage	0.0744157
skill	0.0743493
image	0.0740975
respect	0.0740717
finding	0.0739821
tendency	0.0736411
objective	0.0731679
hatred	0.0731215
background	0.0728257
conclusion	0.0726645
argument	0.0726167
anxiety	0.072558
reluctance	0.0722344
trend	0.071976
patriotism	0.0718288
demand	0.0717276
friendship	0.0716792
tenet	0.0712932
status	0.0712924
quality	0.0712858
personality	0.0712836
frustration	0.0711448
history	0.0709218
change	0.0708244
rumor	0.070613
factor	0.0705882
honesty	0.0705436
will	0.0703774
ignorance	0.070371
action	0.0703432
acceptance	0.0702088
freedom	0.069866
norm	0.0698575
presence	0.0698538
involvement	0.0698365
unity	0.0697816
impulse	0.0697455
"point of view"	0.069639
agenda	0.0696078
skepticism	0.0695939
character	0.069567
rhetoric	0.0694937
anger	0.0693512
spirituality	0.0692777
custom	0.069216
insistence	0.0691969
law	0.0691636
criticism	0.0691582
motivation	0.0690469
life	0.0689947
reputation	0.0689839
memory	0.0689315
suggestion	0.0688448
word	0.0688378
diversity	0.0686568
dream	0.0683939
influence	0.0683694
conservatism	0.0683646
politics	0.0682747
lack	0.0680878
plan	0.0678904
opposition	0.067782
rule	0.0677556
uncertainty	0.0676562
"rule of law"	0.0673842
motive	0.0673326
intent	0.0672237
compassion	0.0671553
participation	0.0669894
moral	0.0667848
tactic	0.0666899
success	0.0666105
method	0.0664883
language	0.0664801
root	0.0662935
fundamental	0.0662797
outlook	0.0660915
consensus	0.0660749
right	0.066
conscience	0.0659848
meaning	0.0658741
denial	0.0657171
perspective	0.0656189
logic	0.0655996
purpose	0.0655954
awareness	0.065568
importance	0.0655017
element	0.0654721
characteristic	0.0652949
trait	0.0652519
creed	0.0651383
democracy	0.0650964
pledge	0.0650873
))
(believability (desc 1115.64) (sims
plausibility	0.123292
coherence	0.105182
cohesiveness	0.0715874
trustworthiness	0.0700123
poignancy	0.0689295
screenful	0.0683428
nuttiness	0.068169
veracity	0.0677991
crispness	0.066674
"staying power"	0.0660091
self-respect	0.0650438
gravitas	0.063268
swiftness	0.0629162
truthfulness	0.0622092
professionalism	0.0614391
virility	0.060977
agglomeration	0.060695
"personal relation"	0.0603271
artificiality	0.059248
physicality	0.0589501
completeness	0.0587619
fluidity	0.0586825
contrivance	0.0572178
universality	0.0567672
"creature comforts"	0.056753
cohesion	0.0566538
graciousness	0.0561936
"peace of mind"	0.0561221
"sense of purpose"	0.0560185
"brain stem"	0.0559979
sameness	0.0554633
gentleness	0.0549635
vibrancy	0.0544817
awkwardness	0.0544575
potency	0.0541851
hopefulness	0.0536886
thoroughness	0.0527587
originality	0.0525747
powerlessness	0.0521357
marketability	0.0518706
conceit	0.0516978
quirkiness	0.0510879
cleverness	0.0506284
"plot line"	0.050624
primacy	0.050304
composure	0.0502804
Panache	0.0502306
individuality	0.0501655
tableau	0.0495727
verisimilitude	0.0493881
pathos	0.049342
dexterity	0.0492711
pizazz	0.0491177
attractiveness	0.048873
"line drawing"	0.0488664
potentiality	0.0487857
worthiness	0.0481643
"market penetration"	0.0480444
Ruehe	0.0480333
self-awareness	0.0480199
"social contract"	0.0479382
Amity	0.0476782
corroboration	0.0474587
calmness	0.0473057
usability	0.0472953
efficacy	0.0472192
idolatry	0.0472149
frisson	0.0470228
lightness	0.0470158
denigration	0.0469267
artifice	0.0467518
alacrity	0.0467163
radiance	0.0466658
self-worth	0.0466535
"full complement"	0.0464281
bleakness	0.0463757
gameplay	0.0461775
brio	0.0458975
shallowness	0.0457645
"judicial branch"	0.0456714
"goose bumps"	0.0455036
decorum	0.045439
"good humor"	0.0453475
transsexual	0.0452752
cavalcade	0.0451877
pep	0.0451682
hauteur	0.0451389
certitude	0.0449867
immediacy	0.0447773
soundness	0.04476
stillness	0.044662
resiliency	0.0446303
predominance	0.0445958
firmness	0.0445134
"light touch"	0.044419
superficiality	0.0442861
elan	0.0440203
"subatomic particle"	0.0439359
spunk	0.0438837
cockiness	0.0438242
"moral force"	0.0438021
frailty	0.0437676
duality	0.0437485
"business relation"	0.0437438
self-control	0.0431639
denouncement	0.043069
normalcy	0.0430586
sobriety	0.0429717
perquisite	0.0428814
distillation	0.0422121
theatricality	0.0421019
"hard copy"	0.0420389
fatalism	0.0416518
"film clip"	0.0416515
distinctiveness	0.0415729
sociopath	0.0415577
steadfastness	0.0415006
"market order"	0.0409727
self-satisfaction	0.0409024
finality	0.0408057
centralization	0.040749
assertiveness	0.0407304
acuity	0.0406998
probity	0.0406646
righteousness	0.0404577
adequacy	0.0404208
disfigurement	0.040236
faithfulness	0.0402271
))
(believer (desc 30489.7) (sims
follower	0.107829
adherent	0.103843
Buddhist	0.0992859
christian	0.0971211
worshipper	0.0934891
faith	0.0894563
Catholic	0.0886552
faithful	0.0866457
practitioner	0.0831277
monk	0.0804534
devotee	0.0801535
theologian	0.0800482
belief	0.0799167
"sports fan"	0.0798993
Jew	0.0777525
lama	0.0771479
Tibetans	0.0768692
clergy	0.0757579
"Orthodox Jews"	0.0754898
scholar	0.075437
Muslim	0.0753549
worshiper	0.0752802
citizen	0.075249
agnostic	0.0727733
pilgrim	0.0727598
"religious leader"	0.0716213
admirer	0.0712113
activist	0.0707037
supporter	0.0699139
listener	0.0697908
Hindu	0.0689894
fan	0.0685638
evangelicals	0.0678745
Mexican	0.0676788
disciple	0.0675949
zealot	0.0674535
enthusiast	0.0670738
Southerner	0.0666459
clergymen	0.0665799
Mormon	0.0660123
fanatic	0.066011
feminist	0.0659208
parishioner	0.065449
intellectual	0.0653036
thinker	0.0651308
Moslem	0.0649887
"Roman Catholic"	0.064589
conservative	0.064425
cleric	0.0633449
environmentalist	0.0631016
"music lover"	0.0630069
Filipino	0.0629682
student	0.0625618
drinker	0.0625552
journalist	0.0625054
politician	0.0623997
collector	0.0623334
Reader	0.0621677
resident	0.0620162
advocate	0.0618274
professional	0.0615869
Cambodian	0.0611106
priest	0.0605955
buff	0.0603044
user	0.060057
migrant	0.0597209
smoker	0.0591235
participant	0.0590184
"civil servant"	0.0589959
Californian	0.0589141
Protestant	0.0588423
illiterate	0.0587981
traditionalist	0.0586309
seminarian	0.0585962
schoolchildren	0.0584985
critic	0.0584909
optimist	0.0583144
investor	0.0580812
"college student"	0.0580425
minority	0.0580406
nun	0.0579767
addict	0.0579698
shopper	0.0578802
mourner	0.0578659
missionary	0.0576458
Baptists	0.0576376
aficionados	0.0573939
pacifist	0.0573145
villager	0.0572303
Beijingers	0.0572039
"church member"	0.0571881
cadre	0.057181
voter	0.0571727
churchgoer	0.0571674
"university student"	0.0569773
visitor	0.0567581
Arab	0.0565715
volunteer	0.0565322
sect	0.0564702
Iranian	0.0563055
fundamentalist	0.0562318
"role model"	0.0562203
businesspeople	0.0561408
loyalist	0.0560459
farmer	0.055954
foreigner	0.0559206
traveler	0.0559106
artist	0.0558549
expert	0.055695
scientist	0.055668
atheist	0.0553302
liberal	0.0553275
"New Yorker"	0.0548735
martyr	0.0548599
Pioneer	0.0548505
individual	0.0547468
detractor	0.0546915
"union member"	0.0546667
businessmen	0.0546114
religion	0.0545915
learner	0.0545396
Haitian	0.0544441
extremist	0.0544321
countrymen	0.0544065
Indonesian	0.0542724
surfer	0.0542287
gamers	0.054206
backer	0.054152
nationalist	0.0540806
reformer	0.0540663
rabbi	0.0540264
tourist	0.0539583
prisoner	0.0539089
watcher	0.0536181
African-American	0.0535195
"heroin addict"	0.0535072
preacher	0.0533743
congregation	0.0533649
Chinese	0.0532867
"foot soldier"	0.0530988
demonstrator	0.0530268
person	0.053022
revolutionary	0.0529184
Iowan	0.052908
laborer	0.0528032
"human being"	0.0527771
youngster	0.0527608
congregants	0.0527391
"senior citizen"	0.0526468
statesmen	0.0524312
reveler	0.0523157
Presbyterian	0.0521599
criminal	0.0520696
beneficiary	0.0519742
Nigerian	0.0519397
protester	0.0519046
cynic	0.0518832
skeptic	0.0518569
"public servant"	0.051837
Cuban	0.0517924
"business leader"	0.0517375
athlete	0.0516564
consumer	0.0516463
Colombian	0.0515678
lawmaker	0.0515111
refugee	0.051476
Zionist	0.0514067
seeker	0.0513
denomination	0.0512846
"drug user"	0.0512767
Anglican	0.0512604
evangelist	0.051157
Congolese	0.0511372
observer	0.0511002
"Sri Lankans"	0.0510602
"civic leader"	0.0510319
donor	0.0510281
centenarian	0.0509642
"South Carolinian"	0.0509007
dissident	0.050896
folk	0.0507444
buyer	0.0507298
protestor	0.0506894
educator	0.0506451
personage	0.0506113
viewer	0.0506077
Marxist	0.050597
lesbian	0.0505565
visionary	0.050543
immigrant	0.0504868
"faculty member"	0.0504776
moviegoer	0.0504572
customer	0.0504317
doctor	0.0503939
landowner	0.0503796
bishop	0.050341
"mountain climber"	0.0503181
dignitary	0.0503149
Texan	0.0502976
theatergoer	0.0502953
))
(Belize (desc 9845.82) (sims
"El Salvador"	0.200618
Guatemala	0.193191
Honduras	0.192491
Nicaragua	0.185959
"Costa Rica"	0.1848
"Trinidad and Tobago"	0.178902
Guyana	0.177487
"Dominican Republic"	0.174362
Grenada	0.167457
Panama	0.167228
Dominica	0.159066
Ecuador	0.151809
Haiti	0.147809
Jamaica	0.141764
Peru	0.138392
Venezuela	0.138041
Bolivia	0.137039
Antigua	0.134904
Salvador	0.129657
"Central American country"	0.123796
Colombia	0.117947
Uruguay	0.115574
Suriname	0.113872
Bahamas	0.109525
Paraguay	0.109302
"St. Lucia"	0.108266
Barbados	0.107449
"St. Vincent and the Grenadines"	0.103624
"Papua New Guinea"	0.101921
Mexico	0.0985469
Chile	0.0944387
Argentina	0.0938487
"Puerto Rico"	0.093053
Guinea-Bissau	0.0908687
Cuba	0.0896362
"Ivory Coast"	0.088388
"St. Kitts and Nevis"	0.0877363
Ghana	0.0871192
Senegal	0.0871044
Mali	0.0861909
Bahrain	0.0859437
Oman	0.0851088
Swaziland	0.0848781
Algeria	0.084048
Canada	0.0825872
Benin	0.0822024
"Saudi Arabia"	0.0819811
Mozambique	0.0815583
"British Virgin Islands"	0.0804089
Botswana	0.0796803
Luxembourg	0.0794534
Brazil	0.0794529
Guadeloupe	0.0793639
curacao	0.0792958
Morocco	0.0768515
"Netherlands Antilles"	0.0767465
"South American country"	0.0760733
Namibia	0.0743381
Bulgaria	0.0742965
"Equatorial Guinea"	0.0742339
Eritrea	0.0738308
Iceland	0.0737669
Armenia	0.073646
Malta	0.0733644
Portugal	0.0730845
Kenya	0.0729234
Moldova	0.072923
Kyrgyzstan	0.0728081
Lesotho	0.0726982
Kuwait	0.072286
Guinea	0.0722674
Angola	0.0721284
Liberia	0.0720134
"Burkina Faso"	0.0717549
Cambodia	0.0715935
Ethiopia	0.0714576
Djibouti	0.0708425
Congo	0.0707067
Tajikistan	0.0705925
"New Zealand"	0.070401
"Sri Lanka"	0.0699632
Gambia	0.0697569
Spain	0.0697157
"United Arab Emirates"	0.0694084
"Cape Verde"	0.0693845
Madagascar	0.0692944
"Central American nation"	0.06905
Egypt	0.0690022
Yemen	0.0687881
"Great Britain"	0.0685394
Palau	0.0685225
"Irish Republic"	0.0684417
Nigeria	0.0681294
Hungary	0.0681032
Croatia	0.0680233
Tunisia	0.0675973
Estonia	0.0673562
Cameroon	0.0671152
Uganda	0.0669898
Norway	0.0669406
Malawi	0.0668752
Slovenia	0.0664796
"Central America"	0.0663749
Bangladesh	0.0663723
Azerbaijan	0.0663387
Romania	0.0660541
Anguilla	0.0658002
Switzerland	0.0657976
"Cayman Islands"	0.0657787
Poland	0.0655107
Turkmenistan	0.0654867
"St. Vincent"	0.0653667
Sudan	0.0653501
Kazakhstan	0.0650517
Trinidad	0.0648678
Thailand	0.0647518
Zimbabwe	0.0642725
Albania	0.0640247
Caribbean	0.0638266
Qatar	0.0638147
Guam	0.0637415
Mongolia	0.0633844
Brunei	0.0632245
Latvia	0.0631096
Laos	0.0631074
Niger	0.0630559
PNG	0.0629258
Austria	0.062616
"Sierra Leone"	0.0622288
Libya	0.061945
Greece	0.0619113
Burundi	0.0617082
"Antigua and Barbuda"	0.0613145
Belgium	0.0611127
Rwanda	0.0610876
Tanzania	0.0610779
Chad	0.0607449
Montenegro	0.0603224
Lithuania	0.0599925
Ukraine	0.0599319
Fiji	0.0599059
Ireland	0.0595372
Myanmar	0.059405
"United Kingdom"	0.0592578
"South Korea"	0.0591833
UAE	0.0586764
Uzbekistan	0.0585862
Czechoslovakia	0.0585226
Seychelles	0.0579494
Sweden	0.0578051
Holland	0.0576517
Zaire	0.0576166
Denmark	0.0571612
Macedonia	0.0571419
Somalia	0.0571399
Bermuda	0.0570703
Netherlands	0.0570687
"African nation"	0.0566665
"Balkan nation"	0.0566188
Surinam	0.0564185
"South Vietnam"	0.0561832
Gabon	0.0560536
Montenegrin	0.0559786
Togo	0.0558865
Afghanistan	0.0557161
"Democratic Republic"	0.0557145
Montserrat	0.0555527
Mauritius	0.0555249
"Virgin Islands"	0.0550491
Cyprus	0.0549018
"East Germany"	0.0544575
Zambia	0.0543196
"U.S. Virgin Islands"	0.0541578
Finland	0.0540183
"Guinea Bissau"	0.0539815
Philippines	0.0539785
"Sao Tome and Principe"	0.0536633
"Solomon Islands"	0.0535365
"British Columbia"	0.053483
Kazakstan	0.0530186
Gibraltar	0.053016
Nepal	0.0524297
emirate	0.051935
Belarus	0.0519271
Mauritania	0.0519154
DRC	0.051645
Bhutan	0.051607
Quebec	0.0514582
Liechtenstein	0.0513197
"South Dakota"	0.0512682
"Cook Islands"	0.0512024
Martinique	0.0507957
Syria	0.0505579
Ivorian	0.0504613
Sicily	0.0503513
Rhodesia	0.049785
Nunavut	0.0497126
"West Germany"	0.0496756
Hawaii	0.0496344
Kyrgyz	0.0494602
))
(Bell (desc 65852.7) (sims
"church bell"	0.113152
"Derek Bell"	0.0981411
"Jay Bell"	0.0949583
Bagwell	0.093421
Alfonzo	0.0911692
Caminiti	0.0876022
"Craig Biggio"	0.0833374
Garciaparra	0.0832718
Olerud	0.0832249
"Edgardo Alfonzo"	0.0808759
"Jeff Bagwell"	0.0807936
"Ken Caminiti"	0.0798266
Hidalgo	0.0777022
Vaughn	0.0776523
Biggio	0.077609
"Richard Hidalgo"	0.0763863
Piazza	0.0759969
Valentin	0.0757265
Alou	0.0754605
Gonzalez	0.0743588
Rodriguez	0.0730794
"Mike Piazza"	0.0729687
Knoblauch	0.0729543
"Nomar Garciaparra"	0.072857
"Chipper Jones"	0.0721598
Erstad	0.0717881
"Bill Spiers"	0.0711815
Martinez	0.0710117
"Tino Martinez"	0.0705403
"John Olerud"	0.0690285
Glaus	0.0688842
"Jose Offerman"	0.0687033
Jeter	0.068701
Anderson	0.0673126
Karros	0.0671775
Grudzielanek	0.0666874
Williams	0.0665694
Palmeiro	0.0663001
Chime	0.0661791
"Robin Ventura"	0.0659398
"Matt Williams"	0.0657372
Zeile	0.0652879
"Carl Everett"	0.0648746
"Moises Alou"	0.0644304
"Darin Erstad"	0.0639236
Johnson	0.0639064
"Chuck Knoblauch"	0.0637992
"Derek Jeter"	0.0637281
Womack	0.0627593
"Luis Gonzalez"	0.0626026
"David Bell"	0.0624483
"phone company"	0.0623
McGwire	0.0620211
"Andruw Jones"	0.0619913
"Troy Glaus"	0.0619861
Gong	0.0618631
"John Valentin"	0.0615389
"Eric Karros"	0.0614651
Ramirez	0.061386
Sosa	0.0611469
Jones	0.0611366
whistle	0.0611192
Everett	0.0596929
"Mark Grudzielanek"	0.0595852
Griffey	0.0593542
drum	0.0593367
Cedeno	0.059195
Ventura	0.0590884
BellSouth	0.0589425
Offerman	0.0587565
"Jeff Kent"	0.0587447
"telephone company"	0.0586417
Daubach	0.0585135
"Jim Thome"	0.0582833
Boone	0.0581401
Miller	0.0577334
"Scott Brosius"	0.0575429
"Tim Salmon"	0.0571476
Brosius	0.0568853
O'Neill	0.0566733
Ordonez	0.0565547
Davis	0.0562941
"Paul O'Neill"	0.0560767
Ripken	0.0557728
walker	0.0556901
"Darren Lewis"	0.0553515
Alomar	0.0553114
Segui	0.0552566
"Edgar Martinez"	0.0551645
"Carlos Delgado"	0.0551631
"Ken Griffey Jr."	0.0550515
"David Segui"	0.0548023
Ledee	0.0547067
Klesko	0.0545246
"Mark McLemore"	0.054464
"Dante Bichette"	0.054436
Perez	0.0543311
"Bell Atlantic"	0.0542886
"Rickey Henderson"	0.0541117
"Alex Rodriguez"	0.0540928
"Travis Lee"	0.0539081
Greer	0.0536006
"Garret Anderson"	0.0535497
Brown	0.0534911
Hundley	0.0533261
"Randy Velarde"	0.0532899
"Bret Boone"	0.0532514
"Trot Nixon"	0.0532368
"Tony Womack"	0.0532266
Wilson	0.0531655
Beltre	0.0529875
"Bernie Williams"	0.0529565
"Mo Vaughn"	0.0529326
Galarraga	0.0529088
Gwynn	0.0527838
smith	0.0527647
Horn	0.0527072
Buhner	0.0526621
"Pac Bell"	0.0526314
"Todd Hundley"	0.0523301
Mondesi	0.0521376
"Jay Buhner"	0.0518327
Henderson	0.0518075
"Todd Zeile"	0.0517466
Thome	0.051746
"Andres Galarraga"	0.0517097
Posada	0.0514007
"Steve Finley"	0.0513282
"Javy Lopez"	0.051242
"Walt Weiss"	0.0512391
Finley	0.0511788
Clark	0.0510675
"Gary Sheffield"	0.0510656
"Ryan Klesko"	0.0510357
Leyritz	0.0509074
Larkin	0.0508979
"Brian Daubach"	0.0508832
"Barry Bonds"	0.0508371
O'Leary	0.050697
Hernandez	0.0506942
"Jorge Posada"	0.0505475
"Greg Vaughn"	0.0504155
martin	0.0504046
"Roger Cedeno"	0.0503374
Varitek	0.0503257
"Chad Curtis"	0.0503137
"Devon White"	0.0502331
"Brian Hunter"	0.0500183
"Jim Edmonds"	0.049986
"Jason Varitek"	0.0494454
Tucker	0.049389
Hamilton	0.0491316
"Barry Larkin"	0.0491246
statue	0.0491149
"Rusty Greer"	0.0490381
"Troy O'Leary"	0.0489524
"Adrian Beltre"	0.0489311
"Will Clark"	0.0488613
"Raul Mondesi"	0.0487937
Robinson	0.0487908
"Ivan Rodriguez"	0.0484805
"Brian Jordan"	0.0484524
Thomas	0.0481814
Siren	0.0481091
Spencer	0.0480516
"Chili Davis"	0.0479811
"Gerald Williams"	0.0478554
Lopez	0.0476064
MCI	0.047597
Palmer	0.0475256
young	0.0474434
green	0.0471577
"Sammy Sosa"	0.0471404
Wright	0.0470071
"Kenny Lofton"	0.0470043
Garcia	0.0469829
Phillips	0.0468115
"Juan Gonzalez"	0.0467658
"Mike Stanley"	0.0466846
Lewis	0.0466306
GTE	0.0463489
belle	0.0463094
Lee	0.0463047
Fernandez	0.0462442
sculpture	0.0460225
"Manny Ramirez"	0.0459798
SBC	0.0459539
Harris	0.0458932
Mora	0.045858
Cox	0.0458303
Guillen	0.0457913
Nelson	0.0457413
alarm	0.0454267
Kent	0.0452388
"Bobby Bonilla"	0.0452349
Stanley	0.0452326
Sheffield	0.0451813
Curtis	0.0451394
"Rafael Palmeiro"	0.0451369
"Rey Ordonez"	0.0450996
))
("Bell Atlantic" (desc 23014.3) (sims
BellSouth	0.290501
GTE	0.284564
"MCI WorldCom"	0.26469
Ameritech	0.248354
SBC	0.247858
"SBC Communications"	0.247689
MCI	0.245461
"Deutsche Telekom"	0.240483
Verizon	0.229866
"U S West"	0.228728
Qwest	0.220798
"Bell Atlantic Corp."	0.214957
Vodafone	0.213286
WorldCom	0.2032
Airtouch	0.191621
"US West"	0.190988
"Pac Bell"	0.189606
"Pacific Bell"	0.186345
"Time Warner"	0.18468
"France Telecom"	0.181351
"BP Amoco"	0.174082
"Global Crossing"	0.172062
Vivendi	0.167475
Mannesmann	0.167474
"Sprint PCS"	0.166699
Comcast	0.16366
MindSpring	0.162146
Nextel	0.158911
AOL	0.156094
Exxon	0.155391
Viacom	0.155098
"Baby Bells"	0.15505
"America Online"	0.153638
"America Online Inc."	0.151253
"Telecom Italia"	0.151085
Cisco	0.150365
"British Telecom"	0.148471
EarthLink	0.146731
Telefonica	0.146308
sprint	0.145163
"Southwestern Bell"	0.144742
"phone company"	0.14363
Pfizer	0.142877
Monsanto	0.142542
Motorola	0.142343
DaimlerChrysler	0.141601
TYCO	0.139385
"News Corp."	0.138007
Compaq	0.136235
IBM	0.136147
Lucent	0.135848
NTT	0.135591
TCI	0.135562
Nortel	0.135479
Aetna	0.135312
"T Corp."	0.135004
"Deutsche Bank"	0.134218
Citigroup	0.134044
t	0.132816
"Con Edison"	0.132734
"MCI Worldcom Inc."	0.13123
Boeing	0.131216
McKesson	0.131122
"British Telecommunications"	0.130188
"SBC Communications Inc."	0.130029
Chevron	0.129882
Bertelsmann	0.127891
BankAmerica	0.127191
VoiceStream	0.126491
"American Home Products"	0.126166
Telmex	0.125836
Olivetti	0.125756
EMC	0.125496
Microsoft	0.125453
Mediaone	0.124964
"Sprint Corp."	0.124702
Intel	0.124112
Healtheon	0.123594
Litton	0.122466
"Vodafone AirTouch"	0.122304
"WorldCom Inc."	0.121898
Schwab	0.121701
Warner-Lambert	0.121607
Citicorp	0.121479
"US Airways"	0.121275
Lockheed	0.121206
NationsBank	0.120663
Chrysler	0.12026
Lycos	0.119382
"Home Depot"	0.119246
"telephone company"	0.119029
Renault	0.117916
"General Motors"	0.117511
WPP	0.117359
Texaco	0.117251
Raytheon	0.117105
"Lucent Technologies"	0.116973
"Cable &AMP; Wireless"	0.116437
SmithKline	0.116388
Hewlett-Packard	0.116072
ExciteAtHome	0.115967
"Tribune Co."	0.115835
Seagram	0.115695
"Wells Fargo"	0.115613
Norwest	0.115228
"Ford Motor Co."	0.113958
"Lockheed Martin"	0.113795
"Philip Morris"	0.113709
"Ford Motor"	0.113507
UAL	0.113277
Coca-Cola	0.112949
excite	0.112821
"General Motors Corp."	0.112698
"General Electric"	0.112226
GM	0.112223
"Microsoft Corp."	0.111999
Kodak	0.110966
Omnipoint	0.110475
Merrill	0.110422
Alltel	0.110394
Daimler	0.110261
Alcoa	0.109997
Starwood	0.109942
"American Express"	0.109624
DirecTV	0.109496
Xerox	0.109417
"GTE Corp."	0.108973
WebMD	0.10879
Mobil	0.108759
BankBoston	0.108683
Deutsche	0.108649
"Con Ed"	0.108645
Mattel	0.108434
"USA Networks"	0.108331
"Walt Disney Co."	0.108288
Ge	0.108243
Unilever	0.108233
"American Home"	0.108205
Ericsson	0.107914
"Coca-Cola Co."	0.107912
oracle	0.10776
Northpoint	0.107435
CMGI	0.106846
"Bell South"	0.10669
BofA	0.106534
Pepsico	0.106533
Honeywell	0.106509
"Bankers Trust"	0.106455
"National Grid"	0.106276
HSBC	0.1061
RJR	0.105945
"Bank of America"	0.105903
Sunbeam	0.105865
NatWest	0.105675
Nokia	0.105603
Citibank	0.105599
LVMH	0.105459
Daimler-Benz	0.105375
Genzyme	0.105141
"Procter &AMP; Gamble"	0.10507
"Cox Communications"	0.104233
KPN	0.103909
"Phelps Dodge"	0.103649
"P&AMP;G"	0.103544
"U S West Inc."	0.103518
"Glaxo Wellcome"	0.103339
SkyTel	0.103335
Cablevision	0.103293
Hasbro	0.103025
Dupont	0.102875
Disney	0.102793
"China Telecom"	0.102435
"British Petroleum"	0.102338
Amoco	0.102178
ENTERGY	0.102066
Cendant	0.101942
"Boeing Co."	0.101875
"KCP&AMP;L"	0.101706
Yahoo	0.101066
"Royal Bank"	0.100618
Dell	0.10025
Delphi	0.100051
Siemens	0.0997398
Qualcomm	0.0997
Sears	0.0989348
Ford	0.0988827
"Delta Air Lines"	0.0987728
Enron	0.0987251
carrier	0.0987212
"United Parcel Service"	0.0986887
"Barnes &AMP; Noble"	0.0985756
"Thermo Electron"	0.0985698
IDT	0.0983738
Telekom	0.0983713
"Sara Lee"	0.0983673
"Y&AMP;R"	0.0982178
Aegon	0.0975949
"Hearst Corp."	0.0974727
ATHOME	0.0973003
Hearst	0.0972204
))
("Bell Atlantic Corp." (desc 3522.28) (sims
"Ameritech Corp."	0.247573
"SBC Communications"	0.2372
"MCI Worldcom Inc."	0.219508
"Bell Atlantic"	0.214957
"Sprint Corp."	0.208712
"WorldCom Inc."	0.208565
"British Telecommunications"	0.194545
"SBC Communications Inc."	0.193884
"Global Crossing Ltd."	0.189236
"GTE Corp."	0.185035
"British Telecom"	0.179158
"U S West"	0.173516
"MCI WorldCom"	0.171301
"Frontier Corp."	0.162181
Ameritech	0.162127
"T Corp."	0.160922
"U S West Inc."	0.159
"Global Crossing"	0.15814
"Deutsche Telekom"	0.157086
GTE	0.156126
MCI	0.151901
WorldCom	0.142763
SBC	0.142461
"Deutsche Bank AG"	0.140414
"Vodafone Airtouch PLC"	0.139022
Vivendi	0.139016
Qwest	0.1366
"Vodafone AirTouch"	0.136164
"USA Networks"	0.135922
"America Online Inc."	0.135191
"International Business Machines Corp."	0.1349
Comcast	0.134796
CitySearch	0.131802
Airtouch	0.129888
"Daimler-Benz AG"	0.129482
"Travelers Group"	0.128427
"Exxon Corp."	0.127259
Vodafone	0.125544
Healtheon	0.12484
"Bertelsmann AG"	0.124573
"Tele-Communications Inc."	0.124544
"Time Warner Inc."	0.122989
BellSouth	0.122593
Telefonica	0.12226
"Telecom Italia"	0.122082
Daimler-Benz	0.121484
Verizon	0.120791
"Lucent Technologies Inc."	0.120637
"Tribune Co."	0.120496
"Baby Bells"	0.11839
"American International Group"	0.118327
"Federated Department Stores"	0.117418
"Lycos Inc."	0.116486
"MCI Communications Corp."	0.115211
"American Home Products"	0.115092
"Comcast Corp."	0.115076
"Motorola Inc."	0.113829
"Pacific Bell"	0.113628
"Fleet Financial Group"	0.113321
"France Telecom"	0.113228
"Nippon Telegraph"	0.113195
"American Home Products Corp."	0.112006
"First Union Corp."	0.111579
"BellSouth Corp."	0.110329
Viacom	0.110125
"Burlington Northern"	0.109823
"Viacom Inc."	0.109551
"Cisco Systems Inc."	0.109545
"UAL Corp."	0.109052
Citicorp	0.108669
McKesson	0.107882
"London Stock Exchange"	0.107476
"Walt Disney Co."	0.106414
MindSpring	0.104645
"Cendant Corp."	0.10462
Monsanto	0.103828
"Glaxo Wellcome"	0.103639
"Seagram Co."	0.103263
"Mannesmann AG"	0.102516
"US West"	0.101915
"BP Amoco"	0.101269
Exxon	0.101182
"Time Warner"	0.100495
"British Petroleum"	0.100103
"Chrysler Corp."	0.100003
"Verizon Communications"	0.0990728
Warner-Lambert	0.0985912
"Southwestern Bell"	0.0983384
"Lucent Technologies"	0.0981941
"Coca-Cola Co."	0.0976135
"IBM Corp."	0.0971655
GEC	0.0969903
"Bankers Trust Corp."	0.0968397
"Citigroup Inc."	0.0966928
"Mattel Inc."	0.0966396
"Halliburton Co."	0.0966202
"United Airlines"	0.0951345
"EMC Corp."	0.0945191
Bestfoods	0.0940495
Telmex	0.093315
"Deutsche Bank"	0.0931847
"NationsBank Corp."	0.0931204
Norwest	0.0930284
"Aetna Inc."	0.0922151
"CMGI Inc."	0.0910184
"BankBoston Corp."	0.0908672
"Sun Microsystems Inc."	0.090692
NationsBank	0.0906114
"Chase Manhattan"	0.0906066
"Vanguard Group"	0.0903246
"Sprint PCS"	0.0902186
"CBS Corp."	0.0895735
"Ford Motor Co."	0.0890124
"Chevron Corp."	0.0888306
"America Online"	0.0885025
"Canadian Airlines"	0.0881494
BankAmerica	0.0877424
NTT	0.0873965
"phone company"	0.0867257
WebMD	0.0865108
Mannesmann	0.0862159
Bertelsmann	0.0857733
"Learning Co."	0.0855831
"Delta Airlines"	0.085258
Mediaone	0.0849502
"Netscape Communications Corp."	0.0847689
"News Corp."	0.0845898
"Monsanto Co."	0.0843119
Nextel	0.0840668
"American Home"	0.0840587
EarthLink	0.0840425
Publicis	0.083675
Healtheon/WebMD	0.0836002
"Time Inc."	0.0834702
"Microsoft Corp."	0.0827304
"Enron Corp."	0.082618
"Air China"	0.0823529
"Stock Exchange of Hong Kong"	0.0817516
"British Aerospace"	0.081412
"American Airlines"	0.0811046
Lucent	0.0810675
"General Motors Corp."	0.0807528
"Orange PLC"	0.080696
"US Airways"	0.0805345
"Qwest Communications"	0.0803437
"Daimlerchrysler AG"	0.079904
Medtronic	0.0797789
"National Association of Securities Dealers"	0.0794744
Unilever	0.0791717
"Sun Microsystems"	0.079092
"Pfizer Inc."	0.079046
AMR	0.0789879
"Goldman Sachs Group"	0.0789533
Aetna	0.0788939
"NTT DoCoMo"	0.0786819
Mobil	0.0785397
Daimler	0.0784184
Halliburton	0.0783764
CMGI	0.078315
"Vivendi SA"	0.0782554
TCI	0.0781175
"Chase Manhattan Corp."	0.0780459
Renault	0.0775586
"Liberty Media"	0.077045
"McDonnell Douglas"	0.0765221
"Softbank Corp."	0.0764647
"Airtouch Communications"	0.0764453
"China Telecom"	0.0762512
Alcatel	0.0762461
"Compaq Computer Corp."	0.0758553
"Network Associates"	0.0757661
"telephone company"	0.0756769
Inc.	0.0754134
"National Grid"	0.0750456
"New York Times Co."	0.0749656
"Cisco Systems"	0.0748745
"General Electric Co."	0.0748278
"Dell Computer Corp."	0.0744667
"National Trust"	0.0742068
SmithKline	0.0741533
"Saatchi &AMP; Saatchi"	0.0740152
"Delta Air Lines"	0.0737765
Lycos	0.0737628
"Dow Jones &AMP; Co."	0.0733006
Telstra	0.0729543
"Southwest Airlines"	0.0729137
"Hearst Corporation"	0.0728268
"Intel Corp."	0.0726385
"Price Waterhouse"	0.072261
Nokia	0.0721814
"UBS AG"	0.072088
"Nature Conservancy"	0.0720342
KPN	0.0719438
"General Electric"	0.0716858
GANNETT	0.0716787
"Con Edison"	0.0714023
Pfizer	0.0713476
Emulex	0.0711307
"Levi Strauss &AMP; Co."	0.0708509
UBS	0.0707503
))
("Bell Laboratories" (desc 2062.35) (sims
"Bell Labs"	0.320818
"California Institute of Technology"	0.124478
"Lawrence Livermore National Laboratory"	0.121668
"Rockefeller University"	0.116849
"Jet Propulsion Laboratory"	0.115824
"Princeton University"	0.1075
"Colorado State University"	0.0938399
Fermilab	0.0913469
"Johnson Space Center"	0.0878124
"Woods Hole"	0.0813816
CERN	0.0812835
"Rutgers University"	0.0808293
"University of Rochester"	0.0807133
"Johns Hopkins University"	0.0792526
"Simon Wiesenthal Center"	0.0788807
"Michigan State University"	0.078858
"Lucent Technologies"	0.0786184
"Massachusetts Institute of Technology"	0.0769351
"University of Illinois"	0.0755962
"Wright-Patterson Air Force Base"	0.0743072
"Zhejiang University"	0.0740011
"Memorial Sloan-Kettering Cancer Center"	0.0728765
"University of Pennsylvania"	0.0725961
"Fudan University"	0.0707043
"Cornell University"	0.0699158
"San Francisco State University"	0.0693967
"Ohio State University"	0.0692488
"University of Toronto"	0.068475
"Los Alamos National Laboratory"	0.0675712
"University of Maryland"	0.0669762
"University of Arizona"	0.0667187
"Purdue University"	0.0662134
"Stanford University"	0.0656488
"University of Colorado"	0.0655346
"Brigham Young University"	0.0641224
"University of Hawaii"	0.063284
"Texas Instruments"	0.0622255
"University of Chicago"	0.0618116
MIT	0.0616714
"University of Michigan"	0.0610249
"Salomon Brothers"	0.0608165
Livermore	0.0607212
"University of Arkansas"	0.0602417
"Chinese University of Hong Kong"	0.0600984
"Seton Hall University"	0.0600672
JPL	0.0600144
"University of Alabama"	0.0598927
"University of Minnesota"	0.0595018
"Indiana University"	0.0589176
"National Aeronautics and Space Administration"	0.0581942
"Natural Resources Defense Council"	0.0577646
"University of Utah"	0.057694
"Cleveland Clinic"	0.0575092
"Northwestern University"	0.0573957
"National Cancer Institute"	0.0572971
"Duke University"	0.0565356
"Johns Hopkins"	0.0555137
"Brandeis University"	0.0550327
"University of Washington"	0.0548436
"Chinese Academy of Sciences"	0.0545541
"Lord &AMP; Taylor"	0.0544357
"Urban Institute"	0.0542434
Parc	0.0540706
"University of Iowa"	0.0539069
"New York University"	0.053794
"Pennsylvania State University"	0.0536611
"Cambridge University"	0.0535037
"University of North Carolina"	0.0533297
"University of Missouri"	0.0532927
"Qinghua University"	0.052344
"Harvard School of Public Health"	0.0522772
"RAND Corp."	0.0517607
"Mayo Clinic"	0.0517453
"Carnegie Mellon University"	0.0516317
"World AIDS Conference"	0.0511119
"Digital Equipment Corp."	0.0510482
"American Museum of Natural History"	0.0509356
"Yale Law School"	0.0507612
"Washington University"	0.050756
Sorbonne	0.050689
Panzhihua	0.0504889
"Union of Concerned Scientists"	0.050365
"University of Maine"	0.0503461
"Sun Microsystems Inc."	0.0501613
"Texas Tech University"	0.0498331
"Vanderbilt University"	0.0495524
"Media Lab"	0.0484073
"school of medicine"	0.0483797
"Center for Science"	0.0482509
"University of Florida"	0.0479864
"Kansas State University"	0.0478829
"Hack Wilson"	0.0477471
"Harvard Medical School"	0.0476482
"Yale university"	0.0471508
"Debra Weydert"	0.047087
"National Institutes of Health"	0.0470131
"University of Wisconsin"	0.0469313
"National Institute"	0.0467895
"Arizona State University"	0.0466653
"Amherst College"	0.0465163
"Nanjing University"	0.0463634
"Sun Microsystems"	0.0460543
"Apple Computer"	0.0460233
"Dana-Farber Cancer Institute"	0.0459372
"Beijing University"	0.0459334
"World Junior Championships"	0.0458718
"Wesleyan University"	0.0458296
"University of Southern California"	0.0453652
"National Highway Traffic Safety Administration"	0.0453592
"Tufts University"	0.0453517
"Louisiana State University"	0.045233
"Monmouth Park"	0.0450653
Brigham	0.0448682
Cornell	0.0448498
"Brown University"	0.044673
"Mercy Hospital"	0.0437194
"Boston University"	0.0431095
"market penetration"	0.0427714
Godot	0.042753
"Violence Policy Center"	0.0427076
"Noureddine Morceli"	0.0424895
"Baylor College of Medicine"	0.042311
"Chinese Olympic Committee"	0.0422041
"National Oceanic and Atmospheric Administration"	0.0421759
"University of New Mexico"	0.0421415
"plant closing"	0.0417256
"Mount Sinai Medical Center"	0.0415305
"United Republic of Tanzania"	0.0414999
"University of Oregon"	0.0414354
"T Wireless"	0.0413203
"bankruptcy filing"	0.0412828
"University of Georgia"	0.041226
"Development Research Center"	0.0411316
"University of Massachusetts"	0.0410878
"House Un-American Activities Committee"	0.0410083
"Beth Israel Deaconess Medical Center"	0.040801
"Oxford University"	0.0405805
"Newark International Airport"	0.0404554
"Colonial Williamsburg"	0.0403422
"Smith College"	0.0402048
"city university"	0.0401751
"Party School"	0.0400024
))
("Bell Labs" (desc 2758.18) (sims
"Bell Laboratories"	0.320818
"Woods Hole"	0.133137
"Rockefeller University"	0.13033
JPL	0.130024
"Johnson Space Center"	0.126767
"California Institute of Technology"	0.124818
"Lucent Technologies"	0.105199
"Cornell University"	0.103212
"IBM Corp."	0.102913
"Jet Propulsion Laboratory"	0.100951
"Lawrence Livermore National Laboratory"	0.0994546
MIT	0.0987911
NIH	0.0987476
"University of Rochester"	0.0961776
Xerox	0.0954548
"Pennsylvania State University"	0.0954105
"Rutgers University"	0.0946243
"Washington University"	0.0944674
"Ohio State University"	0.0942386
CAS	0.0934024
"Salomon Brothers"	0.0919101
UCSF	0.0915244
"University of Hawaii"	0.0911693
"Los Alamos National Laboratory"	0.090524
"Johns Hopkins University"	0.0900145
"Memorial Sloan-Kettering Cancer Center"	0.089445
"Princeton University"	0.0880702
"University of Illinois"	0.086954
Livermore	0.085538
"Los Alamos"	0.084797
NCI	0.0831121
CalTech	0.0820845
"Massachusetts Institute of Technology"	0.0819556
"Stanford University"	0.0813844
CERN	0.0809448
"San Francisco State University"	0.0805063
"Purdue University"	0.0804353
"National Institutes of Health"	0.0804349
"University of Maryland"	0.0798785
"Colorado State University"	0.0796166
Brookhaven	0.0788447
"National Cancer Institute"	0.0779779
"University of Iowa"	0.0774393
"Carnegie Mellon University"	0.0772051
"Sun Microsystems"	0.0769381
"Michigan State University"	0.076354
"University of California"	0.076108
"University of Toronto"	0.0758151
"University of Washington"	0.0757188
Cornell	0.0751652
"University of Minnesota"	0.0751079
"Zhejiang University"	0.0743583
Hewlett-Packard	0.0742409
MGH	0.073991
"University of Arizona"	0.0725174
"Fordham University"	0.0724206
"William Morris"	0.0721138
"Harvard Medical School"	0.0713224
"Texas Instruments"	0.070726
"Dana-Farber Cancer Institute"	0.0706996
Salomon	0.0701223
Sandia	0.0696838
"Delphi Automotive Systems"	0.0689014
"Wright-Patterson Air Force Base"	0.0688629
"Silicon Graphics"	0.0685664
"University of Wisconsin"	0.0685609
"University of Chicago"	0.0682719
"Duke University"	0.0676552
"University of Maine"	0.067547
"New York University"	0.0671015
"Johns Hopkins"	0.06689
"University of Texas"	0.0667353
Genentech	0.0664937
"National Federation"	0.0657499
"Brandeis University"	0.0657358
"National Semiconductor"	0.0652802
Agilent	0.064941
"China National Petroleum Corporation"	0.0647597
"National Aeronautics and Space Administration"	0.0640756
"Oracle Corp."	0.0638064
"T. Rowe Price"	0.0637285
"General Electric Co."	0.0636336
CCF	0.0635999
BOC	0.062337
"University of Massachusetts"	0.0622154
Qinghua	0.0619846
Dupont	0.0619192
"Federal Reserve Bank of New York"	0.0617309
"Time Inc."	0.0617051
"school of medicine"	0.0616894
CCB	0.0616548
PictureTel	0.0616172
"University of Michigan"	0.0612826
Fermilab	0.0612801
Dana-Farber	0.0612412
"Chinese Academy of Sciences"	0.0612287
"Sprint PCS"	0.0610586
"Urban Institute"	0.0610214
Scientific-Atlanta	0.0608183
"Kraft Foods"	0.0607772
"Beth Israel Deaconess Medical Center"	0.0607709
Emory	0.060735
Parc	0.0607315
"Packard Bell"	0.0606176
Motorola	0.0604802
"Hendrick Motorsports"	0.0604575
ITT	0.0603142
"National Association of Manufacturers"	0.0598422
"Mather Worldwide"	0.0596171
"University of Georgia"	0.0596122
"U.S. Chamber of Commerce"	0.0592774
VISTEON	0.0592689
"Beth Israel"	0.0592537
"American Express"	0.058995
"Massachusetts General Hospital"	0.0588345
"Public Citizen"	0.0586554
"Mount Sinai Hospital"	0.0585108
"Baylor College of Medicine"	0.0584078
"Pratt &AMP; Whitney"	0.0583655
"Simon Wiesenthal Center"	0.0582826
"Chinese Academy of Engineering"	0.0582376
"U.S. Golf Association"	0.0578765
"American Museum of Natural History"	0.0573202
TRW	0.0572485
EMC	0.056787
"Kaiser Permanente"	0.056771
"Harvard University"	0.056749
"University of Utah"	0.0566319
"University of Colorado"	0.0564802
"University of Arkansas"	0.0562971
"Legend Group"	0.0561115
COSCO	0.0561065
"University of Florida"	0.055978
"University of Pennsylvania"	0.0559432
"Arizona State University"	0.0557651
"University of Alabama"	0.055708
EDS	0.055653
Ericsson	0.0556468
"Ford Foundation"	0.0555069
"Sun Microsystems Inc."	0.0555042
"Seton Hall University"	0.0555
"University of Kentucky"	0.0554672
"Brown University"	0.0554354
"CBS News"	0.0554156
"International Badminton Federation"	0.0552936
"Du Pont"	0.0551645
Novartis	0.0550883
Eximbank	0.0549727
CDC	0.0547628
"Toys R Us"	0.0546706
"Louisiana State University"	0.0542269
"Intel Corp."	0.0541984
"Bankers Trust"	0.0541951
"American Cancer Society"	0.0541354
"securities industry"	0.054135
"Red Army"	0.0540301
Brigham	0.0540075
"McKinsey &AMP; Co."	0.0539479
"University of Pittsburgh"	0.0538475
"Colonial Williamsburg"	0.0538356
SDB	0.0537958
"Digital Equipment"	0.0537654
"Natural Resources Defense Council"	0.053541
"Lawrence Livermore"	0.0535379
IDC	0.0530886
Microelectronics	0.0529323
ICBC	0.052854
Lucent	0.052745
"Chinese Olympic Committee"	0.0527176
"Mayo Clinic"	0.0526716
"Hewlett-Packard Co."	0.0524851
Hendrick	0.0524838
"Syracuse University"	0.0520751
McDonalds	0.0519937
"Cooper Union"	0.0519108
"Apple Computer Inc."	0.0517486
"Yankee Group"	0.0516086
"Harvard School of Public Health"	0.0515701
"Hearst Corporation"	0.0513879
"Oxford University"	0.0512288
"Microsoft Corp."	0.0510895
Qufu	0.0510144
CPAFFC	0.0509303
"Chez Panisse"	0.0508239
"Environmental Defense Fund"	0.0508007
"Andersen Consulting"	0.0506899
"Pudong International Airport"	0.0506463
CUC	0.0506142
Sotheby's	0.0504384
"Club Med"	0.0504046
"General Electric"	0.0503723
All-Tech	0.0502933
Instinet	0.0500759
"University of Missouri"	0.0498868
"Wireless HKT"	0.0498714
"Florida State University"	0.0498257
"Columbia University"	0.0498117
"Big West"	0.0497207
"Boys Ranch"	0.049704
"Wine Institute"	0.0496866
))
("bell pepper" (desc 9332.69) (sims
"red onion"	0.465436
"red bell pepper"	0.408554
"green pepper"	0.386595
"red pepper"	0.360363
celery	0.359675
"green onion"	0.352614
onion	0.348412
shallot	0.345429
cucumber	0.33567
zucchini	0.325071
jalapeno	0.312579
chilies	0.308946
scallion	0.308621
tomato	0.300836
carrot	0.299492
Garlic	0.297485
cilantro	0.292123
eggplant	0.290833
"garlic clove"	0.28354
pepper	0.281454
chiles	0.274384
leek	0.253042
avocado	0.249484
fennel	0.245078
"plum tomato"	0.244964
parsley	0.239424
tomatillo	0.228297
chive	0.221617
cabbage	0.217103
Basil	0.216598
pineapple	0.215734
"black olive"	0.214329
ginger	0.212924
"hot pepper"	0.212714
thyme	0.210499
radish	0.208834
mushroom	0.207057
papaya	0.207036
"water chestnut"	0.206852
olive	0.202749
dill	0.201427
turnip	0.197448
beet	0.197367
lettuce	0.196058
oregano	0.195673
mango	0.194805
potato	0.193909
spinach	0.193846
"green bean"	0.189895
Chili	0.189231
okra	0.185965
parsnip	0.184707
"cherry tomato"	0.182642
pimento	0.181411
cantaloupe	0.180389
mint	0.179823
lemongrass	0.179645
"lime juice"	0.179556
cauliflower	0.179421
"chili pepper"	0.176753
"shiitake mushroom"	0.176491
prosciutto	0.175637
pancetta	0.175509
"bay leaf"	0.175213
"chili powder"	0.175033
lemon	0.173925
marjoram	0.171549
squash	0.169688
"sweet potato"	0.169577
watercress	0.169089
artichoke	0.168266
"brussels sprout"	0.167505
asparagus	0.165371
peppercorn	0.163513
"pine nut"	0.161019
"lemon juice"	0.159713
lime	0.15656
Broccoli	0.15612
cumin	0.155075
"black bean"	0.154565
coriander	0.154559
fig	0.153927
anchovy	0.153715
salami	0.153412
"tomato paste"	0.153142
rosemary	0.1526
vinegar	0.152109
plantain	0.150453
"bean sprout"	0.150084
pea	0.149279
tarragon	0.148407
cheese	0.148235
melon	0.146567
bacon	0.146453
pickle	0.146101
almond	0.143307
clove	0.141879
walnut	0.141831
mustard	0.141362
pear	0.141237
"hard-boiled egg"	0.140878
cayenne	0.140698
watermelon	0.140589
"tomato sauce"	0.140051
"orange zest"	0.139504
chutney	0.13809
paprika	0.137621
ham	0.136799
mayonnaise	0.132194
bean	0.130754
"olive oil"	0.129992
plum	0.128692
peach	0.128595
sausage	0.128276
"winter squash"	0.12825
caper	0.12797
"pepper sauce"	0.126365
"Swiss chard"	0.12565
arugula	0.124784
"fava bean"	0.124114
chervil	0.123965
"chicken breast"	0.123444
Kale	0.12255
shrimp	0.122438
raisin	0.120538
nectarine	0.119976
pecan	0.119774
RHUBARB	0.119472
pork	0.118708
pumpkin	0.118052
radicchio	0.117592
"lima bean"	0.117481
"vanilla bean"	0.117074
chicken	0.116966
"Worcestershire sauce"	0.116229
"chili sauce"	0.115867
apple	0.115152
mozzarella	0.115065
Orange	0.114994
"snow pea"	0.114882
herb	0.114784
salt	0.114244
"pork tenderloin"	0.114135
"sour cream"	0.113758
Chickpea	0.113562
corn	0.11311
"garlic salt"	0.113083
"mustard seed"	0.113021
turmeric	0.112823
"soy sauce"	0.112814
"blue cheese"	0.112509
Tamarind	0.112457
kernel	0.112008
vegetable	0.111265
"bittersweet chocolate"	0.111186
butter	0.110962
"cumin seed"	0.110808
"fennel seed"	0.110633
"green olive"	0.110578
tuna	0.110116
banana	0.109508
broth	0.109478
"lemon zest"	0.109467
lentil	0.108988
seasoning	0.108969
"bok choy"	0.108779
veggie	0.108652
"curry powder"	0.108107
FETA	0.107916
hazelnut	0.107878
"goat cheese"	0.107684
peanut	0.107192
Parmesan	0.107097
"coconut milk"	0.106401
apricot	0.105552
sauce	0.105193
chard	0.105071
Cherry	0.104519
horseradish	0.104087
cashew	0.102812
puree	0.102723
"orange peel"	0.102356
"chicken broth"	0.101989
"roast beef"	0.101074
"sesame seed"	0.0999688
Sage	0.0992157
flake	0.0991748
"pork loin"	0.0990061
"tomato juice"	0.098932
"peanut oil"	0.0988904
nutmeg	0.0988057
"food coloring"	0.0980114
cornmeal	0.0979728
rutabaga	0.0978029
ketchup	0.0976812
"pumpkin seed"	0.0966725
sauerkraut	0.096669
grapefruit	0.096051
"black pepper"	0.096024
strawberry	0.0955648
))
("Bell South" (desc 1102.07) (sims
"Sprint PCS"	0.13512
GTE	0.134271
SBC	0.130365
BellSouth	0.129725
Ameritech	0.12765
Omnipoint	0.126788
"US West"	0.121761
"SBC Communications"	0.12079
"Pacific Bell"	0.120068
"Ameritech Corp."	0.11562
"T Wireless"	0.108811
"Bell Atlantic"	0.10669
Acer	0.102476
"Baby Bells"	0.0991153
"U S West"	0.087731
"MCI WorldCom"	0.0829821
Qwest	0.0800285
"Airtouch Communications"	0.0799733
IAI	0.0777477
Airtouch	0.0775451
Alltel	0.0718259
"Southwestern Bell"	0.0717213
Nextel	0.0706266
"Norfolk Southern"	0.0685548
Statoil	0.0683014
"Computer Associates"	0.0673997
"British Petroleum"	0.0668469
MCI	0.0650129
"WorldCom Inc."	0.0643018
Scientific-Atlanta	0.0621895
"T Corp."	0.0597978
"United Parcel Service"	0.0595364
MBNA	0.0586793
Intergraph	0.0586278
ADM	0.0579792
Verizon	0.0573578
AHP	0.0572654
"Vodafone AirTouch"	0.0569513
MetLife	0.0568957
Comsat	0.0562002
"Consolidated Edison"	0.0559552
"Shell Oil"	0.0559021
CitySearch	0.0554851
"Global Crossing"	0.0554629
Enron	0.0550134
Dupont	0.0546204
ExciteAtHome	0.0544012
BNFL	0.0537875
Fedex	0.0534404
Casio	0.0529417
"First Union Corp."	0.0520636
"Federal Express"	0.0520102
emachines	0.051501
DHL	0.0509902
Publicis	0.0509474
"Eastman Kodak Co."	0.0503968
"Sea Launch"	0.0503068
Electrolux	0.0502959
"Pitney Bowes"	0.0496368
CIRC	0.0496203
Caltex	0.0494398
"True North"	0.0490449
USEC	0.0489496
Symantec	0.0489322
"BellSouth Corp."	0.0486126
midlevel	0.0483161
"SBC Communications Inc."	0.0482815
Roberds	0.0481884
Globalstar	0.0480649
YankeeNets	0.0478671
UTC	0.047799
Telefonica	0.0476952
"Thermo Electron"	0.0473341
Informix	0.0469831
Nortel	0.0467483
CAAC	0.0467318
"Mel Karmazin"	0.0467275
"Eastman Kodak"	0.0467241
Odwalla	0.0465583
"Nortel Networks"	0.0464237
Lilco	0.0463636
CVS	0.0462777
HP	0.0462531
"NationsBank Corp."	0.0461359
Cp	0.0461345
Danka	0.0455912
"Eastern Airlines"	0.0455705
"Texas Supreme Court"	0.0455548
MSN	0.0454429
"British Telecommunications"	0.0452469
Totalfina	0.045142
Datek	0.0450157
DoCoMo	0.0444425
AST	0.0444344
Bestfoods	0.0443683
BMG	0.0443615
"GTE Corp."	0.0441707
Penney	0.0440204
"Comcast Corp."	0.0438374
"Dell Computer"	0.0438044
Clorox	0.0436118
Toysmart	0.0435766
EarthLink	0.0434132
VENATOR	0.0433508
"Turner Sports"	0.0430976
Hewlett	0.0429093
PDVSA	0.0427451
ARCO	0.0427298
VoiceStream	0.0426637
Iomega	0.0426367
Elf-Aquitaine	0.0425649
"Levi Strauss &AMP; Co."	0.042496
Searle	0.0423744
"Atlantic Richfield"	0.042316
"Bertelsmann AG"	0.0422464
"Cox Communications"	0.0421577
Uunet	0.042136
"American Family Publishers"	0.0420871
NationsBank	0.0418325
"Sears, Roebuck &AMP; Co."	0.0417578
Unicom	0.0415863
TELLABS	0.0415274
"Bay Networks"	0.0414831
"Western Union"	0.0413851
RCN	0.0413546
Arianespace	0.0409846
Heineken	0.040809
"trucking company"	0.0406339
NORTHROP	0.0404709
NIC	0.0404572
"Mastercard International"	0.0403527
"Cendant Corp."	0.0403312
"Pac Bell"	0.0402465
))
("bell tower" (desc 2980.16) (sims
steeple	0.14512
spire	0.11795
"clock tower"	0.105796
minaret	0.101515
"Space Needle"	0.0909678
"Washington Monument"	0.0807856
"church bell"	0.074926
pagoda	0.0690589
"stone wall"	0.0675645
Colosseum	0.0670228
facade	0.0660382
Basilica	0.0654773
edifice	0.065403
"apartment house"	0.064635
"water tower"	0.0617026
turret	0.0606337
arch	0.0602516
"pipe organ"	0.0598941
balustrade	0.0593524
skyscraper	0.0588427
"stained-glass window"	0.0577921
mantelpiece	0.0576985
"telephone pole"	0.0560907
"opera house"	0.0558371
Cathedral	0.0550161
Lighthouse	0.0548384
pyramid	0.0547358
chimney	0.0547232
"town house"	0.0542913
Bund	0.0528191
smokestack	0.0510834
chapel	0.0503511
pulpit	0.0502478
"assembly hall"	0.0502001
silo	0.0500034
scaffolding	0.0494886
Castle	0.0493433
"sailing ship"	0.0491053
liturgy	0.0488476
courtesan	0.0482941
"apartment building"	0.0481761
"carriage house"	0.048128
treehouse	0.0478862
overpass	0.0477487
altar	0.0477221
"bank building"	0.0476943
flagpole	0.0474857
chandelier	0.047345
townhouse	0.0472595
pew	0.0470866
Obelisk	0.0469086
"French door"	0.0468006
brownstone	0.0466573
outcrop	0.045508
rector	0.0450854
colonnade	0.0447456
berm	0.0444909
"wedding party"	0.0440642
staircase	0.0440467
"manor house"	0.0440467
"water pipe"	0.0440363
"Empire State Building"	0.0439841
eaves	0.0436409
atrium	0.0434469
fresco	0.0433085
mast	0.042516
sarcophagus	0.0424811
promontory	0.0423723
vertebra	0.0422858
"Ferris wheel"	0.0421912
shingle	0.0418795
"Potala Palace"	0.0418351
waterfall	0.041832
settee	0.0417808
awning	0.0416824
"Mount McKinley"	0.0414332
Qomolangma	0.0413712
farmhouse	0.0413473
playpen	0.0407479
teapot	0.040587
seawall	0.0405124
tenement	0.0403315
archway	0.0403082
fortress	0.0400084
))
(Bella (desc 1704.14) (sims
Vita	0.106582
Alonso	0.0811512
Begala	0.0780414
Haarhuis	0.0718541
Paolo	0.0706544
Tella	0.06825
Grande	0.0632493
Azinger	0.0628991
Luca	0.0626039
Diego	0.0608719
Monte	0.0579481
Stefano	0.0579329
Torino	0.0578372
"Patsy Ramsey"	0.0536432
Salaam	0.0535909
Scholes	0.0534056
Silas	0.0525379
SAL	0.0524
Kagame	0.0504642
Lorraine	0.0498684
Carolyn	0.0497802
Vogel	0.0492351
Donna	0.0481587
Tagliabue	0.0472291
Maradona	0.0471773
Ince	0.047056
"Caroline Kennedy"	0.046932
Maria	0.0467693
Burgess	0.0467144
Gascoigne	0.0456411
Guerra	0.0455447
streetwise	0.0450466
patsy	0.0446569
Lynne	0.0444218
RICO	0.0443774
Figaro	0.0438126
Cindy	0.0435101
Baba	0.0432863
Calabria	0.0428464
Vera	0.0427711
Marie	0.0427513
Napoli	0.0426613
Eli	0.0414355
Tristan	0.0412024
NOVA	0.0407449
casa	0.0405075
hippo	0.0401018
))
(Bellagio (desc 5409.67) (sims
"Mandalay Bay"	0.198037
"Treasure Island"	0.176301
"MGM Grand"	0.157115
"Caesars Palace"	0.141681
Mirage	0.113834
Sheraton	0.101662
hotel-casino	0.0920545
Ritz-Carlton	0.082125
Luxor	0.0804849
Hilton	0.0763578
Greenbrier	0.0757958
inn	0.075693
Hyatt	0.0737108
"theme park"	0.0723493
Westin	0.0683417
Stardust	0.0671118
SPA	0.0642229
"Walt Disney World"	0.0636079
Caesar	0.062251
Shangri-la	0.0616921
Marriott	0.0615507
Savoy	0.0605111
MFA	0.0603347
beachside	0.0584707
Moma	0.05816
Saatchi	0.0571074
oceanfront	0.0559593
"Disney World"	0.054255
lakefront	0.0538819
"Holiday Inn"	0.0538276
Foxwoods	0.0532489
"Hyatt Regency"	0.0530969
"Grand Hotel"	0.0529023
Waldorf-Astoria	0.0525698
"amusement park"	0.0523657
"country house"	0.0518672
lakeside	0.0515906
Disneyland	0.048883
Vega	0.0484232
bed-and-breakfast	0.0482588
guesthouse	0.0479734
Getty	0.0478978
glitzy	0.0474535
Louvre	0.0472511
motel	0.0468916
Sol	0.0468894
"Chrysler Building"	0.0465074
"Hong Kong International Airport"	0.0464179
"beach house"	0.0462884
"Science City"	0.046199
riverboat	0.0461103
Mondrian	0.045372
"Midtown Manhattan"	0.0453689
"Deer Valley"	0.0453172
"shopping center"	0.0450636
"endowment fund"	0.0448305
ritz	0.0444519
Catskills	0.0440161
boutique	0.0439298
Loews	0.0437653
Tarver	0.0435723
Vail	0.0432924
Versailles	0.0432558
flamingo	0.0431564
"Left Bank"	0.0431011
"Kuala Lumpur International Airport"	0.0430803
"Museum of Fine Arts"	0.0429284
"Club Med"	0.0427646
Starwood	0.0425819
DMA	0.0425492
salon	0.0424194
aquarium	0.041998
"Bay Bridge"	0.0418149
CANCUN	0.0418134
"gambling casino"	0.0414968
"entertainment center"	0.0413344
Marina	0.0412664
breaker	0.0410782
Metreon	0.0409529
"Brooklyn Museum of Art"	0.0409417
Spago	0.040905
bungalow	0.0408189
"movie theater"	0.0407108
"Taj Mahal"	0.0406289
"New York State Theater"	0.0402291
))
(Bellamy (desc 2111.73) (sims
Kasoulides	0.211994
Velayati	0.201471
Jayakumar	0.195479
Ikeda	0.194438
Meguid	0.194104
Moratinos	0.188614
Azad	0.187791
Jovanovic	0.179777
Lipponen	0.178829
Klima	0.177302
Sumaye	0.176249
Rifkind	0.174775
Zou	0.174762
Kharrazi	0.173659
Guterres	0.171886
Constantinescu	0.17088
Tsang	0.170193
Abdel-Meguid	0.169966
Diouf	0.169163
Ruehe	0.169031
Stoyanov	0.167978
Rong	0.166004
Brundtland	0.165591
"de Charette"	0.161199
Zeng	0.160434
Ikimi	0.159624
Piot	0.158002
Pangalos	0.157129
Luong	0.156698
Dini	0.155153
Khai	0.15461
Cem	0.152557
Mkapa	0.150578
Bruton	0.149503
Komura	0.148582
Rodionov	0.147558
Phieu	0.147503
Granic	0.147176
Vollebaek	0.146836
Wolfensohn	0.145727
Chissano	0.145047
Siazon	0.143778
Fiorina	0.142839
Brittan	0.142006
Kyprianou	0.141877
Pustovoitenko	0.141234
Sergeyev	0.140393
Qiao	0.140158
Boueiz	0.140148
Nujoma	0.139381
Scalfaro	0.138092
Akayev	0.137046
Nzo	0.135051
Ogata	0.134481
Wolfson	0.134391
Singson	0.134175
Arbour	0.133839
Majali	0.133605
Koskinen	0.133325
Goh	0.132968
Orban	0.131535
Surin	0.131056
Nasrallah	0.130068
Ruggiero	0.129726
Muluzi	0.128958
Klestil	0.128539
Leghari	0.128154
Eizenstat	0.12763
Sato	0.127405
Advani	0.127389
Kinkel	0.127373
Reimer	0.127322
Indyk	0.127046
Markovic	0.126766
"Xie Zhenhua"	0.125941
Goldin	0.125881
Camdessus	0.125502
Saleh	0.125228
Prewitt	0.12503
Moussa	0.124379
Deuba	0.123215
Karimov	0.122169
Ben-Ami	0.121819
Barshefsky	0.121662
Waxman	0.121627
Kostov	0.121367
Nazarbayev	0.120526
Leung	0.120453
Khaddam	0.120337
Hu	0.119686
Brazile	0.11962
Gujral	0.118837
Juma	0.118795
Ashrawi	0.118645
wen	0.1185
Muoi	0.118282
Luo	0.118168
Salim	0.11811
Santer	0.118034
LaPierre	0.117334
Cui	0.117216
"Secretary General Esmat Abdul-Meguid"	0.116854
Ganzouri	0.116664
Kabariti	0.116395
Lau	0.116377
Axworthy	0.116119
Donohue	0.115308
Kono	0.115308
"De Soto"	0.115253
McKinnon	0.115128
Duisenberg	0.115068
Beazley	0.115048
Menchu	0.114452
Meissner	0.113845
Frei	0.113583
Shevardnadze	0.113541
Meles	0.113471
Shipley	0.113383
Aziz	0.112859
Shareh	0.112813
Ivanov	0.112769
Qian	0.112082
Insulza	0.111576
Niyazov	0.111544
Narayanan	0.111311
Bolger	0.111229
Arens	0.111115
Stroyev	0.110533
Hauser	0.110522
Menem	0.110404
Alatas	0.110369
Gurirab	0.110171
Daley	0.109602
Pickering	0.109256
Vedrine	0.108972
Tian	0.108829
"Than Shwe"	0.10868
Jia	0.108439
Khalil	0.108362
Satcher	0.108213
Juncker	0.107805
Kwasniewski	0.107706
Lowry	0.107648
Aventajado	0.107636
Solana	0.107537
Scharping	0.107237
Holl	0.106783
Goossen	0.106742
Brahimi	0.106735
Ahtisaari	0.106358
Rawabdeh	0.106252
"John Paul"	0.106225
Condit	0.105976
Hrawi	0.105454
"Lee Hsien Loong"	0.105257
Kok	0.105002
Lehane	0.104929
Rossotti	0.1049
Rivlin	0.10444
Reinhardt	0.104283
Zhirinovsky	0.104262
Ahern	0.103904
Kennard	0.103899
Fu	0.103883
Shalala	0.103714
Alarcon	0.103565
Kirkpatrick	0.103483
Sharaa	0.103401
Flanagan	0.103393
al-Sahhaf	0.102824
Moonves	0.102698
Valenti	0.102653
Prueher	0.102443
Dodik	0.102424
Samuelson	0.102412
Hasina	0.102341
Schuessel	0.102067
Herzog	0.101812
Burleigh	0.101748
Papandreou	0.101572
Betts	0.100973
Sampaio	0.100962
Shi	0.100962
Tung	0.100821
Koehler	0.100708
Fung	0.100682
Grasso	0.100487
Severino	0.100397
Hamad	0.100358
Wagoner	0.100062
Wilhelm	0.0999431
Vogel	0.0998231
Demirel	0.0997542
Waigel	0.0993705
Molinari	0.0992904
Patten	0.099259
Sakakibara	0.0991126
Dehaene	0.0989821
Chavalit	0.0984118
Wenger	0.0979698
))
(bellbottoms (desc 1865.17) (sims
"polo shirt"	0.144866
caftan	0.14448
bluejeans	0.143426
"sports jacket"	0.135974
kilt	0.134812
"dress shirt"	0.133387
"cowboy hat"	0.132984
trouser	0.131711
blouse	0.127904
pant	0.12756
corset	0.125768
headband	0.125553
bandana	0.123684
Poncho	0.122143
miniskirt	0.117465
"straw hat"	0.117375
tights	0.117334
"hot pants"	0.11644
corduroy	0.116367
windbreaker	0.116157
pantsuit	0.115872
cardigan	0.115653
"tennis shoe"	0.112501
suspender	0.112153
nightgown	0.111554
eyeliner	0.111061
"cowboy boot"	0.110633
"business suit"	0.110325
"cocktail dress"	0.109098
knickers	0.108846
sunglasses	0.108588
"life vest"	0.108195
sweatshirt	0.106654
bandanna	0.106445
turtleneck	0.105367
trousers	0.104583
"baseball cap"	0.104188
slack	0.103763
"sport shirt"	0.103385
turban	0.10252
"leather jacket"	0.102263
beret	0.102108
STETSON	0.101837
bodysuit	0.101141
tunic	0.100654
raincoat	0.10027
wristband	0.0999779
Chino	0.0997476
shawl	0.0995535
sarong	0.0988059
capris	0.0987508
camisole	0.0983886
moustache	0.0982746
vest	0.0980896
"evening gown"	0.0978072
sneaker	0.0971026
spandex	0.0965458
coverall	0.0961247
loafer	0.0958247
"pants suit"	0.0955687
"blue jean"	0.095401
"nail polish"	0.0945828
Pantsuits	0.0945151
sweater	0.0938962
"body armor"	0.0936704
sideburn	0.0935651
brassiere	0.0919831
"place mat"	0.0919615
"hard hat"	0.0917819
miniskirts	0.0913278
fedora	0.0912137
sock	0.0911815
bodice	0.0911783
armband	0.0910872
"boxing glove"	0.0901182
pajama	0.0896072
toupee	0.0895607
jean	0.089138
waistcoat	0.0882431
suede	0.087554
"bow tie"	0.0871117
sandal	0.0870468
frock	0.0869304
smock	0.0863128
"feather boa"	0.0863069
jumpsuit	0.085912
loincloth	0.0859006
"top hat"	0.0854799
"dark glasses"	0.0844356
"mink coat"	0.0832993
"trench coat"	0.0832444
"sweat pants"	0.0831674
mustache	0.0823108
pullover	0.0821789
scarf	0.0819
slipper	0.0811479
bustier	0.0806852
"running shoe"	0.080582
legging	0.0803825
blazer	0.0801535
barrette	0.0798317
cutoffs	0.0784107
braid	0.07818
"ball gown"	0.0777676
tress	0.0777217
parka	0.0775483
necktie	0.0774535
bathrobe	0.0771992
ruffle	0.0762322
robe	0.0760802
shorts	0.0754615
tux	0.0751375
apron	0.0746289
eyeshadow	0.0743517
"dress uniform"	0.0739616
pigtail	0.0734375
swimsuit	0.0733088
earring	0.0728524
choker	0.0728308
undershirt	0.07182
"bathing suit"	0.0716311
"felt hat"	0.0715757
tablecloth	0.0715213
BOA	0.0712658
pantyhose	0.0707949
hairpiece	0.0707289
wig	0.0706387
"rubber boot"	0.0698523
yarmulke	0.069796
taffeta	0.0697616
pinstripes	0.069695
Afro	0.0696254
blinder	0.0694783
sequin	0.0694748
bedspread	0.0687471
"fur coat"	0.0684623
khaki	0.0680806
"evening dress"	0.0680797
hairdo	0.06782
collar	0.0677072
chiffon	0.06721
garb	0.0666985
overcoat	0.0664199
underpants	0.0664154
flannel	0.065903
tuxedo	0.0656041
bikini	0.0655143
mitten	0.0653753
"black tie"	0.0653733
pillowcase	0.0652375
petticoat	0.0642396
halter	0.0636613
slicker	0.0634643
"Honda Civic"	0.0629608
bra	0.0624447
"ski mask"	0.0624225
"bowler hat"	0.0623723
dreadlocks	0.0623572
Tutu	0.0618799
stocking	0.0616068
Humvees	0.0607062
Thong	0.0603534
"combat boot"	0.0603529
Bonnet	0.0597799
vestment	0.0595409
"evening bag"	0.0595347
Sash	0.0591887
slacks	0.0590008
headdress	0.058853
"baseball glove"	0.0584031
"piece of cloth"	0.0583514
pants	0.0583459
PIERCINGS	0.0581883
sheath	0.0577069
denim	0.0572076
"life jacket"	0.0569806
stitching	0.0569488
stripes	0.0569102
"stiletto heel"	0.0568459
tartan	0.056651
"hush puppy"	0.0565681
chap	0.0564578
goatee	0.0564422
gloves	0.0556898
lipstick	0.0555629
necklace	0.0553799
duster	0.0553161
"nose ring"	0.0551752
underwear	0.0548559
nylon	0.054566
handbag	0.0543622
sleeve	0.0541184
eyeglass	0.0540946
"prayer shawl"	0.0540276
neckline	0.0534965
earplugs	0.0533581
girdle	0.05316
tiara	0.0530747
"Star of David"	0.0529439
lettering	0.0529118
))
(belle (desc 17659.4) (sims
"Albert Belle"	0.168271
Palmeiro	0.136448
Vaughn	0.127137
Griffey	0.122691
Surhoff	0.122564
Bordick	0.120009
Alfonzo	0.117117
Olerud	0.116639
Erstad	0.115652
Zeile	0.115393
Ripken	0.114351
"Rafael Palmeiro"	0.113628
"B.J Surhoff"	0.111581
Vidro	0.110825
Piazza	0.110259
"Juan Gonzalez"	0.107615
"Bernie Williams"	0.104323
Sosa	0.10393
Beltre	0.103683
Alou	0.103165
Ramirez	0.102681
"Harold Baines"	0.102652
Bagwell	0.10239
"Will Clark"	0.102265
Mondesi	0.101069
Fullmer	0.100918
Ordonez	0.100318
Hundley	0.0972938
Cirillo	0.0971379
Rodriguez	0.0970778
Rolen	0.096675
"Brian Jordan"	0.0965378
Helton	0.0960168
"Charles Johnson"	0.0957813
Valentin	0.0955108
Canseco	0.0953131
Gonzalez	0.0950852
Caminiti	0.0947473
Thome	0.094612
Alomar	0.0945501
Karros	0.0945105
"Cal Ripken"	0.0933039
Knoblauch	0.0930401
Lankford	0.09288
Galarraga	0.0921661
"Vladimir Guerrero"	0.0919547
"Mo Vaughn"	0.0919131
"Robin Ventura"	0.0915723
Abreu	0.091152
Leyritz	0.0910102
"Benny Agbayani"	0.0905112
Gant	0.0900644
Lofton	0.0896822
Segui	0.0895195
Jeter	0.0894183
Garciaparra	0.0887139
Glaus	0.0886659
"Ken Griffey Jr."	0.0885542
Castilla	0.0884723
Ledee	0.0882436
"Mike Bordick"	0.0878277
"Mike Piazza"	0.0876112
Cora	0.0871659
"Brady Anderson"	0.0865537
Finley	0.0860304
"Edgardo Alfonzo"	0.0855317
Guillen	0.0852153
Higginson	0.0848079
"John Olerud"	0.0844884
Gwynn	0.0844627
"Jeff Conine"	0.0838056
Everett	0.0828614
McGwire	0.0827727
"Adrian Beltre"	0.0826143
"Troy Glaus"	0.0822603
Sexson	0.0821086
Giambi	0.0819903
Boone	0.0819692
Delgado	0.0819293
McGriff	0.0814703
"Fred McGriff"	0.0808654
"Jim Thome"	0.0808405
"Brian Giles"	0.0806478
"Nomar Garciaparra"	0.0806012
Bonilla	0.0801491
Williams	0.08009
"Travis Fryman"	0.0799307
"Jay Bell"	0.0794635
"Derek Jeter"	0.0793595
Fryman	0.0793497
"Alex Rodriguez"	0.0790882
Burnitz	0.0789648
Biggio	0.0787247
Baerga	0.0786805
Tatis	0.0785405
"Todd Pratt"	0.0785324
"Manny Ramirez"	0.0784933
Daubach	0.0783029
"Tony Gwynn"	0.078239
"Moises Alou"	0.0782182
Larkin	0.0781306
Offerman	0.0778567
Velarde	0.0776054
"Frank Thomas"	0.077551
"Chuck Knoblauch"	0.0772079
Martinez	0.0770991
"Eric Karros"	0.0769872
Bichette	0.0768497
"Preston Wilson"	0.0767504
Elster	0.0767424
"Sammy Sosa"	0.0765536
"Tino Martinez"	0.0763419
"Scott Brosius"	0.0762505
Alicea	0.0760568
Rodman	0.076009
"Gary Sheffield"	0.0757517
"Todd Hundley"	0.0757362
"Barry Bonds"	0.0756572
"Devon White"	0.0755407
"Tim Salmon"	0.0754538
"Roberto Alomar"	0.0754275
"Mark Loretta"	0.0751897
Hollandsworth	0.0749799
Brogna	0.0749439
"Rusty Greer"	0.0749217
Clemens	0.0746611
"Chipper Jones"	0.0746277
Buhner	0.0740696
Brosius	0.0738807
"Jose Canseco"	0.0736766
Aurilia	0.0735101
Johnson	0.0734584
"Richie Sexson"	0.0733324
Batista	0.0730274
Hardaway	0.0730223
"Rondell White"	0.0729882
Dunston	0.0728676
"John Vander Wal"	0.0725779
McLemore	0.0725085
Posada	0.0723643
Agbayani	0.0723
Cordero	0.0721833
Gilkey	0.0720847
"Kenny Lofton"	0.0720158
"Darin Erstad"	0.0719498
"Paul Konerko"	0.0717722
Renteria	0.0716859
Kapler	0.0716174
"Carl Everett"	0.0713464
Hatteberg	0.0712814
"Eddie Taubensee"	0.0711583
"Marvin Benard"	0.0710523
"Bobby Bonilla"	0.0709444
"Rickey Henderson"	0.070343
Burks	0.0700986
"Dante Bichette"	0.0700891
Glanville	0.0700771
Lieberthal	0.0700431
"Scott Rolen"	0.0699285
"Jose Valentin"	0.0697777
"Damian Miller"	0.0697523
"Dmitri Young"	0.0695812
"Bobby Higginson"	0.0695702
"Reggie Sanders"	0.069505
"Shane Spencer"	0.0694791
Primeau	0.0693652
Palmer	0.0691864
"Paul O'Neill"	0.0691599
"Delino DeShields"	0.0690465
Sheffield	0.0689979
"Shawn Green"	0.0689751
"Warren Morris"	0.0689357
Klesko	0.0689314
Yashin	0.0688981
"Luis Alicea"	0.068777
"Todd Helton"	0.0687391
"Magglio Ordonez"	0.0686321
DiSarcina	0.0683915
"Scott Spiezio"	0.0682985
Hidalgo	0.068232
"Jason Giambi"	0.068169
"Trot Nixon"	0.0680687
Nevin	0.0680308
Duchesne	0.0680236
"Joe Randa"	0.067902
"Alex Gonzalez"	0.0678621
"Ron Coomer"	0.0678171
"Dean Palmer"	0.0677584
"Derek Bell"	0.0675404
"Edgar Martinez"	0.067302
Beltran	0.0672773
Varitek	0.067137
"David Segui"	0.0670751
"Jeff Bagwell"	0.066923
Radke	0.0669185
"Ray Durham"	0.0669048
Catalanotto	0.0668632
Lawton	0.0668024
"Ron Gant"	0.0667146
"Andruw Jones"	0.0666866
))
(Bellevue (desc 4922.57) (sims
Spokane	0.127566
"Overland Park"	0.123683
Glendale	0.115877
LAKEWOOD	0.115724
Fremont	0.115255
"Thousand Oaks"	0.111505
"Redwood City"	0.110083
Tacoma	0.109726
Bellingham	0.108451
"South San Francisco"	0.107439
"East Orange"	0.10642
"Des Moines"	0.106173
Redmond	0.103812
Rockville	0.103582
Renton	0.103007
Kirkland	0.102765
Olympia	0.101982
Yakima	0.101859
"Lake Worth"	0.101096
"King County"	0.100557
Sunnyvale	0.0992399
Cupertino	0.099135
"Port Angeles"	0.097934
Bangor	0.0977189
"Delray Beach"	0.0976512
Dearborn	0.0964569
"Jersey City"	0.0957094
Framingham	0.0950943
Englewood	0.0950001
Hackensack	0.094423
Wichita	0.0938668
Lexington	0.0937945
"San Mateo"	0.093496
"Mountain View"	0.0934677
Tarzana	0.0933216
Reston	0.0933072
"White Plains"	0.093257
Omaha	0.0927023
Alpharetta	0.09231
Waltham	0.0921821
Nashua	0.0921807
"Woodland Hills"	0.09212
"Garden City"	0.0919248
Chatsworth	0.0911332
"Mount Pleasant"	0.0909697
Andover	0.0902134
Boise	0.0888947
Stamford	0.0879566
Leawood	0.0878332
Sausalito	0.0876738
"Palo Alto"	0.0871562
Blaine	0.0856321
"Culver City"	0.0837204
Scottsdale	0.0833302
"La Jolla"	0.0831543
Naperville	0.0831336
"Santa Clara"	0.0829014
riverside	0.0828984
"Boynton Beach"	0.0825292
"Midtown Manhattan"	0.0824074
Calabasas	0.0822953
Herndon	0.0820261
Emeryville	0.0819867
Burlington	0.0819436
Wellesley	0.0818901
Alameda	0.0818133
Shreveport	0.0815652
Rochester	0.0814781
Encino	0.0813817
"Fort Lee"	0.0811774
"Round Rock"	0.081044
"North Hollywood"	0.0808007
"Westlake Village"	0.0803473
"Van Nuys"	0.0802331
Plano	0.0797667
TALLAHASSEE	0.0796297
"West Palm Beach"	0.0793752
Kingston	0.0793354
"Westchester County"	0.0792227
Cambridge	0.0789979
Decatur	0.0789835
Albuquerque	0.0782892
Tarrytown	0.078199
Petaluma	0.0779292
"Santa Monica"	0.0776089
"Menlo Park"	0.0774417
"New Haven"	0.0771967
Braintree	0.0770897
Westfield	0.0764558
Morristown	0.0762547
"Simi Valley"	0.0761477
Needham	0.0758903
"Walnut Creek"	0.0754492
Wilmington	0.0752431
"Newport Beach"	0.0748972
Bethesda	0.0748685
Minneapolis	0.0748203
Bloomington	0.0748092
"Sandy Springs"	0.0745727
"Cobb County"	0.0743539
Longview	0.0741864
"Virginia Beach"	0.0734855
Carthage	0.073483
Holyoke	0.0732982
Fairfax	0.0730561
Tucson	0.0727404
Tempe	0.0727163
"Boca Raton"	0.0726699
Burlingame	0.072516
"El Segundo"	0.0723964
Norwalk	0.0721458
Tijuana	0.0719348
"Fort Lauderdale"	0.0713404
Norcross	0.0710447
Laramie	0.0708975
Fairfield	0.0707837
Greenville	0.0705103
Burbank	0.0704666
Winston-Salem	0.0701323
Brentwood	0.0701163
Marietta	0.07005
"Colorado Springs"	0.0699519
Brookline	0.0699232
Ensenada	0.0698211
"Cedar Rapids"	0.0697041
Schenectady	0.069702
"Union City"	0.0697009
Dunwoody	0.0694335
Smyrna	0.0694041
"West Hollywood"	0.0692464
Albany	0.0692016
"Cherry Hill"	0.0691957
Pasadena	0.0691558
"St. Paul"	0.0691067
"Paradise Valley"	0.0689415
TRENTON	0.0688553
"Mill Valley"	0.0686884
Yonkers	0.0682658
Amherst	0.0676797
"Washington D.C."	0.0674198
Westport	0.067275
"Sherman Oaks"	0.0671676
Greenwich	0.067002
"Chapel Hill"	0.0669817
"Tarrant County"	0.0667839
Quincy	0.0667117
Bedford	0.066691
Brooklyn	0.0665566
Topeka	0.0665501
Dubuque	0.0665018
"Baton Rouge"	0.0664231
Suwanee	0.0663708
"Highland Park"	0.0661855
Bridgeport	0.0661785
"Fairfax County"	0.0661117
Arlington	0.0660805
Birmingham	0.0659075
Roanoke	0.0658857
Xenia	0.0658648
"San Antonio"	0.0655175
"Beverly Hills"	0.0654819
Carmel	0.0652001
Saginaw	0.065102
"Mount Vernon"	0.0650073
Shawnee	0.0648541
"West Orange"	0.0647365
"El Paso"	0.0644227
Duluth	0.0644117
Woburn	0.0643598
Columbus	0.0643593
Newark	0.0643545
Brownsville	0.0642616
Mesa	0.0642114
"Fort Lewis"	0.0638944
Tuscaloosa	0.0638813
Pittsfield	0.0638802
Lawrenceville	0.0638675
Pelham	0.0636526
"Massachusetts General Hospital"	0.0627328
"Long Beach"	0.0624103
Greensboro	0.0623574
"Twin Cities"	0.0622705
Providence	0.0622237
Everett	0.0620805
Kent	0.0620399
"San Rafael"	0.0617033
Carrollton	0.0613579
Lubbock	0.0613111
plainclothes	0.0612863
Hastings	0.0612699
Hialeah	0.0611876
"Little Rock"	0.0611365
"Palm Beach Gardens"	0.0610685
Olathe	0.0608948
Somerville	0.0608449
Nashville	0.0607053
Richmond	0.0606337
Charlottesville	0.060573
"Fort Worth"	0.0604148
"Santa Fe"	0.0604101
))
(bellhop (desc 1742.03) (sims
busboy	0.184209
chambermaid	0.148852
waiter	0.126124
housekeeper	0.117782
doormen	0.112487
waitress	0.111161
"house painter"	0.10485
"maintenance man"	0.104015
"day laborer"	0.103489
watchman	0.0981484
cashier	0.0978712
concierge	0.0972062
receptionist	0.0935
bartender	0.0901303
seamstress	0.0884011
"graphic artist"	0.0812115
dishwasher	0.0791844
"stage manager"	0.0783031
"shop assistant"	0.0768521
stuntman	0.0761963
doorman	0.0758206
"account executive"	0.0740998
"Jocelyn Thibault"	0.0739542
"garbage collector"	0.0733031
stewardess	0.0731747
"exotic dancer"	0.0731428
Porter	0.0728459
"Rhodes Scholar"	0.0693152
electrician	0.0692651
"altar boy"	0.0690487
"elevator operator"	0.0678402
hostess	0.0675736
hairdresser	0.0662192
bookkeeper	0.0655427
paralegal	0.0651799
handyman	0.0642334
valet	0.0641312
bricklayer	0.0629211
lifeguard	0.0629021
maid	0.0619106
hairstylist	0.0606454
cleaner	0.0601192
"management consultant"	0.05998
copywriter	0.059873
teller	0.0598445
messenger	0.0586745
sportswriter	0.0586031
chauffeur	0.0584648
"Zach Thornton"	0.0581074
manicurist	0.0578864
nanny	0.0575082
"telephone operator"	0.0574062
plumber	0.0572124
"social worker"	0.0570979
"police sergeant"	0.0565876
welder	0.056079
"disc jockey"	0.0558658
organist	0.05545
janitor	0.0553557
cabby	0.0553488
"hockey coach"	0.054616
"hotel manager"	0.0542088
"eye doctor"	0.0538457
alderman	0.0534662
"aerospace engineer"	0.0533483
"law student"	0.0531254
paraplegic	0.0529326
lifer	0.0527049
"dock worker"	0.0524616
Kurd	0.0520223
"mechanical engineer"	0.0519708
typist	0.0518917
"insurance agent"	0.0518715
"copy editor"	0.0518431
stockbroker	0.0517861
firefighter	0.0517394
eighth-grader	0.0516566
"military band"	0.0512805
bloke	0.0510379
anesthesiologist	0.0508147
puppeteer	0.0507975
geophysicist	0.0506478
weatherman	0.0506166
"traveling salesman"	0.050594
Irishman	0.0503653
"art student"	0.0503425
"factory worker"	0.0500015
beautician	0.0499006
Englishwoman	0.0498858
passerby	0.0498396
caddie	0.0494879
roofer	0.0492578
matron	0.0490854
vaulter	0.0490788
farmhand	0.0490143
"music teacher"	0.0489643
"undercover agent"	0.0489171
"volleyball player"	0.0489056
trainee	0.0482383
"stamp collector"	0.0482007
"fashion model"	0.0480242
fifth-grader	0.0477709
sixth-grader	0.0477541
saleswoman	0.047724
sportscaster	0.0476672
"farm boy"	0.0476166
workmen	0.0472913
"master of ceremonies"	0.0472523
Bostonian	0.0471148
"computer programmer"	0.0470472
pallbearer	0.0470346
Hick	0.0469285
panhandler	0.0467191
switch-hitter	0.0465594
steelworker	0.0465326
"electrical engineer"	0.0464
radiologist	0.0459662
newsman	0.0459519
Tillman	0.045946
Ribbeck	0.0459211
ex-Marine	0.0458498
Frye	0.0458461
postman	0.0458193
picker	0.0456677
slacker	0.0456328
"Macao International Airport"	0.0454483
"big leaguer"	0.0453273
"stock trader"	0.0452753
bouncer	0.0451886
"science teacher"	0.0449891
Scot	0.0449445
illustrator	0.0449044
"Texas longhorn"	0.0447655
co-pilot	0.0447139
schoolboy	0.0444609
hustler	0.0444323
"grad student"	0.0444315
repairman	0.0444203
"public defender"	0.0442426
"eagle scout"	0.0441557
discotheque	0.0439343
"Dirty Dancing"	0.0438548
Clothier	0.0438363
"occupancy rate"	0.0437553
innkeeper	0.0435909
animator	0.0435861
hemophiliac	0.043568
caterer	0.043483
kayaker	0.0433153
"pitching coach"	0.0432894
"prison guard"	0.0432739
Deacon	0.0431993
"world traveler"	0.0431923
headliner	0.0431048
"math teacher"	0.0429298
Intimidator	0.0427469
"Phi Beta Kappa"	0.042702
socialite	0.0426638
epitaph	0.0425912
chap	0.0424284
sommelier	0.0423781
bearer	0.0423643
"Jehovah's Witness"	0.0422517
Caucasian	0.0420771
seminarian	0.0420655
McCombs	0.0419728
Atlantan	0.0416399
bodybuilder	0.0415028
"Orthodox Jew"	0.0415014
jurist	0.0412778
"staff sergeant"	0.0412687
conscript	0.0412418
"boy wonder"	0.0412211
provocateur	0.041201
"girl scout"	0.0411769
Gastroenterologist	0.0411373
Rolen	0.0411034
stripper	0.0409804
bullfighter	0.0409278
"network administrator"	0.0407978
"TV star"	0.0407663
"private investigator"	0.0406766
"purchasing agent"	0.0406749
"little leaguer"	0.0404805
"track star"	0.0404304
"sales manager"	0.0403514
"Golden Bear"	0.0401427
individualist	0.0401246
doer	0.0401174
bruiser	0.0400631
))
(belligerence (desc 1341.49) (sims
intransigence	0.0742414
bullishness	0.0717718
alertness	0.0707804
carelessness	0.0640169
passivity	0.0633768
discord	0.0624471
antagonism	0.0621657
chicanery	0.0620643
infighting	0.0617552
feint	0.0598826
decomposition	0.0598182
dishonesty	0.0587804
laxity	0.0586755
divisiveness	0.0586746
acrimony	0.0584454
dishonor	0.0580823
skittishness	0.0569783
barbarism	0.0565649
callousness	0.0563428
"ill will"	0.0543943
assertiveness	0.0543408
in-jokes	0.0538561
malice	0.0534275
rudeness	0.053175
brinksmanship	0.0526465
"up to @@ miles"	0.0523419
narcissism	0.0523151
lawlessness	0.0519049
"high treason"	0.0515675
"state of war"	0.050674
antipathy	0.0505391
disloyalty	0.05024
intolerance	0.0502079
bickering	0.0500362
lunacy	0.0500227
selflessness	0.0498824
insensitivity	0.0494228
friendliness	0.0494109
decisiveness	0.049043
Vilification	0.0490254
gamesmanship	0.0489251
aggressiveness	0.0487794
barbarity	0.0481422
vitriol	0.0480513
selfishness	0.048017
rancor	0.0479993
double-entendres	0.0478034
equilibrium	0.047681
savagery	0.0476613
"blind spot"	0.0476423
irresponsibility	0.0476387
disunity	0.0473585
reorientation	0.0473176
vigilance	0.0471852
insanity	0.0469851
brinkmanship	0.0469382
boosterism	0.046921
dissension	0.0460156
expansionism	0.0459362
malignancy	0.0454446
stonewalling	0.0454302
reciprocity	0.0453781
polarization	0.0452548
"Turkish Republic"	0.0450684
hyperinflation	0.0448173
whistle-blowers	0.0448092
underdevelopment	0.0447617
adventurism	0.0446947
asymmetry	0.0446137
"sexual activity"	0.0444169
cross-fertilization	0.0441961
self-absorption	0.0440972
rejoicing	0.0438564
murder-suicide	0.0436583
sodomy	0.0436257
debauchery	0.043556
enmity	0.0435142
"Opium War"	0.0433009
firmness	0.0432756
insinuation	0.0432512
TMD	0.0432182
thawing	0.0432162
enquiry	0.0431096
"Helms-Burton Act"	0.0430992
arousal	0.0430109
Helms-Burton	0.0426445
build-up	0.0425311
hooliganism	0.0424264
finger-pointing	0.0421517
self-restraint	0.0421504
favoritism	0.0418826
"military capability"	0.0418767
hopefulness	0.0417994
criminality	0.0417411
blandness	0.0413949
animus	0.0413826
tuner	0.0413143
"investor interest"	0.0411066
exhilaration	0.0410817
malfeasance	0.0410292
polemic	0.0409437
"consumer interest"	0.0409311
"bad blood"	0.0409083
conciliation	0.040825
portability	0.0407585
Psychosis	0.0406791
realignment	0.040589
gabfest	0.0405726
colloquy	0.0404593
indulgence	0.0404463
"change of mind"	0.0404448
"tax income"	0.0403378
differentiation	0.0403041
timidity	0.0401563
remoteness	0.0401156
ranting	0.0400602
hemoglobin	0.0400324
))
(belligerents (desc 1964.84) (sims
"Sino-British Joint Liaison Group"	0.103182
"Joint Liaison Group"	0.0905045
combatant	0.0873372
"American Psychological Association"	0.0857484
"U.N. Observer Mission"	0.0823148
"Commonwealth Ministerial Action Group"	0.0787963
"United Nations Observer Mission"	0.0787893
stakeholder	0.075544
CWC	0.0752208
aggressor	0.0711385
member-states	0.069816
"King Mswati III"	0.068771
mini-summit	0.0684041
"non-governmental organizations"	0.0671708
conferees	0.067077
"Congress Working Committee"	0.0663799
"Arab Parliamentary Union"	0.066219
"Member States"	0.0659297
"North Atlantic Council"	0.065252
UUP	0.0649015
infantryman	0.0644995
"Jerusalem Committee"	0.0644695
SIDES	0.064345
"U.N. Secretariat"	0.0639119
RUF	0.0632172
"United Nations Mission"	0.0621839
facilitator	0.0614519
JLG	0.0614511
warlord	0.0613445
"International Maritime Organization"	0.0610891
"Joint Military Commission"	0.0604386
"monetary fund"	0.0591693
"member nation"	0.0589359
Wahhabis	0.0589171
"Provisional Ruling Council"	0.058816
Lissouba	0.0586432
"Organization for Economic Cooperation and Development"	0.0580423
bloodiest	0.057987
"Contact Group"	0.0578839
Bhattarai	0.057387
"Omar Torrijos"	0.0567457
"Pedro Rossello"	0.0565295
"U.N. Mission"	0.056459
Cessation	0.0564497
"Paul Kagame"	0.0562828
"Organization of African Unity"	0.0562073
Hezb-i-Islami	0.0559055
"HKSAR Government"	0.0558273
"Boutros Boutros Ghali"	0.055798
Koreas	0.0555905
"combat mission"	0.0554933
MNLF	0.055407
"U.N. Human Rights Commission"	0.0548667
"South Pacific Forum"	0.0542849
carmakers	0.0542413
"United Nations High Commission for Refugees"	0.0538797
"Organization of Islamic Conference"	0.0537893
Aidid	0.0536417
Uvira	0.0536022
"National Council"	0.0534571
"Organization of Petroleum Exporting Countries"	0.0532782
PCC	0.0531112
MILF	0.0530148
"United Nations Conference on Trade and Development"	0.052994
Kenna	0.0529559
"political detainee"	0.0529297
UPDF	0.0526509
"Yugoslav Federation"	0.0525342
easier	0.0525165
CMAG	0.0524917
"Israeli Cabinet"	0.0523361
"China National Petroleum Corporation"	0.0522452
Tintin	0.0522293
Buyoya	0.0520804
signer	0.0520233
antagonist	0.052014
"European Bank for Reconstruction"	0.0518207
"Palestinian Council"	0.051782
"British government"	0.05153
"Tourism Authority of Thailand"	0.0514413
"U.N. High Commissioner for Refugees"	0.0513712
"United National Party"	0.0513306
"United Nations Population Fund"	0.051157
"Central American country"	0.0511428
"UN Security Council"	0.0511051
Karimov	0.0510357
"China Securities Regulatory Commission"	0.0509881
"Palestine Liberation Organization"	0.0507075
CITES	0.0506761
transnationals	0.0506015
"Salim Ahmed Salim"	0.0505411
"Patriotic Union of Kurdistan"	0.0505283
"Kosovo Albanians"	0.0503254
"Commission on Human Rights"	0.0502896
"Bank for International Settlements"	0.0501039
"upper hand"	0.0500038
harder	0.0498041
"American Psychiatric Association"	0.0497276
"Economic and Social Council"	0.0495262
"Joint Commission"	0.0495088
crewmembers	0.0493613
MQM	0.0492428
Fedex	0.0492145
SDB	0.0491681
"U.N. agencies"	0.0489414
"Consultative Group"	0.0485592
"Association of Southeast Asian Nations"	0.0483349
Chinese-Americans	0.0482807
"over $@@@"	0.0482195
"International Civil Aviation Organization"	0.0481543
"Bell Atlantic Corp."	0.0481206
highflier	0.048061
statesmen	0.0480293
UNTAET	0.048018
"financial organization"	0.0478316
Denktash	0.0478078
Museveni	0.0478026
"World Jewish Congress"	0.047655
Lubumbashi	0.0472212
"over $@@ million"	0.0472064
Narayanan	0.0471483
Goma	0.0470801
IGC	0.0470625
PUK	0.0470273
JMC	0.0467676
"Turkish Embassy"	0.0467603
"East African Community"	0.0467366
"Russian Orthodox Church"	0.0466594
"Angolan Government"	0.0465333
"Central Organ"	0.0465285
"Long Yongtu"	0.0465266
Braswell	0.0465056
"council member"	0.0464862
"oil producer"	0.0464845
Kindu	0.0464057
"Irish Republican Army"	0.046405
functionary	0.0463447
"State Development Bank"	0.0463311
COSATU	0.0463256
"Phan Van Khai"	0.0461367
"Group of Rio"	0.0461032
"Abbott Laboratories"	0.0460921
flashpoints	0.0460829
"Russian Security Council"	0.0460377
UNP	0.045976
"Smith &AMP; Wesson"	0.0458183
"Allied Pilots Association"	0.0457613
"foreign service officer"	0.0457518
"Jenny Jones Show"	0.0456251
"Laurent Kabila"	0.045597
EBRD	0.0454965
"Supreme Council"	0.0454596
Moslem	0.045436
"Electoral Commission"	0.0454199
"General Council"	0.0454179
"Uganda People's Defense Forces"	0.0452163
Tutsis	0.0451626
quickest	0.045065
"free rein"	0.0450302
"International Criminal Tribunal for Rwanda"	0.0449968
"Olympic Council of Asia"	0.0449568
Bosnians	0.0449554
Chad	0.0449541
"Securities Industry Association"	0.0449208
"legislative assembly"	0.0448491
"Universal Postal Union"	0.0448377
"John G. Rowland"	0.044798
"Andean Group"	0.0447835
"Organization of American States"	0.0447745
"Noboru Takeshita"	0.0447662
"National Executive Committee"	0.0447154
"Allied Democratic Forces"	0.0446531
"social group"	0.0446297
"Congressional Black Caucus"	0.0446144
"Tareq Aziz"	0.0445537
"Max Cleland"	0.0443167
signatory	0.0443039
"Royal Government"	0.0442332
"Local @@@"	0.044126
"chief of state"	0.044118
"Palestinian National Council"	0.0441066
revers	0.0441002
"Interamerican Development Bank"	0.0440955
Barzani	0.044023
"Bangladesh Nationalist Party"	0.0439327
"one million US dollars"	0.0437609
"lending institution"	0.0436851
"Prime Ministers"	0.0436103
"cold spell"	0.0435958
"Greek Orthodox Church"	0.0435248
"Congolese Rally"	0.0434963
disengagement	0.0434414
"million over five years"	0.0434294
vote-getters	0.0434111
UNDP	0.0433275
"foot soldier"	0.0432678
"Yitzhak Rabin"	0.0432385
"Industry Ministry"	0.0432247
"Pete Wilson"	0.0431512
battlefront	0.0431078
))
(Bellingham (desc 3385.15) (sims
Tacoma	0.119845
"Port Angeles"	0.110742
Bellevue	0.108451
Renton	0.108446
Tokaimura	0.104401
Palmdale	0.10055
Blaine	0.0968125
Spokane	0.0964448
Longview	0.0958123
"Manila Bay"	0.0943194
Yakima	0.0940103
Nago	0.0937814
"Palm Beach County"	0.0902554
Matamoros	0.0866687
Dhahran	0.0864813
Cartagena	0.0849916
Olympia	0.0846602
Leavenworth	0.0820366
Prijedor	0.0807255
Lubbock	0.0800553
Makhachkala	0.0796678
Bangor	0.0793137
Bushehr	0.0782773
Jasper	0.0779549
Pasadena	0.0778554
Chatham	0.0778052
LAKEWOOD	0.0773737
Kitwe	0.0772713
Cordova	0.0763039
Peoria	0.0761658
Utica	0.0757837
Laramie	0.0754131
Valdez	0.0749529
Glendale	0.0742527
Chernobyl	0.0741031
Vladikavkaz	0.0739238
Waterbury	0.0736814
Kettering	0.0735332
Holyoke	0.0731128
Carthage	0.0722008
"King County"	0.0721135
"El Paso"	0.0720541
Worcester	0.0719502
"Centennial Olympic Park"	0.0719037
"Saratoga Springs"	0.0712892
Dearborn	0.0707786
Flagstaff	0.0699388
Omagh	0.0699181
Pelham	0.0694771
Macon	0.0694297
Westfield	0.0688941
Murmansk	0.0686687
southland	0.0682591
Aberdeen	0.0680812
Ensenada	0.067598
"San Salvador"	0.067517
Hillsboro	0.0674711
Stamford	0.0672173
Watertown	0.0668555
Medellin	0.0668508
"Newport Beach"	0.0667048
Yonkers	0.0666332
"Fort Lewis"	0.0662039
"Grand Prairie"	0.0660743
"Westchester County"	0.0660142
Kandy	0.0659471
Plano	0.065878
"engine room"	0.0657103
Nablus	0.0654282
Littleton	0.0653796
Camden	0.0653456
Kirkland	0.0652263
Lakeland	0.0651113
Sausalito	0.0648653
Everett	0.064652
"East Los Angeles"	0.0643661
Morristown	0.0642151
Albuquerque	0.0641037
Vavuniya	0.0636712
Marietta	0.0636333
Hanford	0.0635073
Memphis	0.0633076
Galveston	0.0632062
Brunswick	0.0631587
Jalalabad	0.0631245
Antwerp	0.0625563
"Thousand Oaks"	0.0624215
Tucson	0.0619011
"Virginia Beach"	0.061884
Boise	0.061778
Topeka	0.0616829
Princeville	0.061528
Hattiesburg	0.0614561
Youngstown	0.0613146
Laredo	0.0611616
Medan	0.0607576
Huntsville	0.0603854
Birmingham	0.0603235
Wichita	0.0602973
Vladivostok	0.060253
"Corpus Christi"	0.0599196
"Palm Beach"	0.0596417
Aden	0.0593862
"Italian Alps"	0.0593103
Kismayu	0.0593039
Pullman	0.0592545
Kingston	0.0592332
Somerville	0.059127
Quito	0.0591184
Yekaterinburg	0.0590163
Encino	0.0589848
Wallingford	0.0588568
Duluth	0.0588451
Kanungu	0.0587644
"North Hollywood"	0.0587046
Sevastopol	0.0586768
"Grand Forks"	0.0586009
Fremont	0.058456
Rostock	0.058296
"San Pedro Sula"	0.0580432
Wilmington	0.0579725
Brownsville	0.0578984
"West Palm Beach"	0.0577116
Nagasaki	0.0576755
"Northern Province"	0.0575949
Ndola	0.0575884
ARCADIA	0.0573145
Taloqan	0.0572556
Gainesville	0.057133
"Ciudad Juarez"	0.057128
Paterson	0.0570904
Carlsbad	0.0570371
Walkerton	0.0569875
flint	0.0569256
Weimar	0.0568743
"St. Petersburg"	0.0564776
Tijuana	0.0564136
Dayton	0.0562899
"South Bend"	0.0559474
"Northern California"	0.0558727
Piraeus	0.0558609
"Fort Worth"	0.0557342
Sidon	0.0556955
"La Paz"	0.0556236
Greenville	0.0555622
Hindenburg	0.0555614
Trincomalee	0.0554619
Kent	0.0554234
ASHEVILLE	0.0553848
Lumbini	0.0553762
"Santa Clarita"	0.0551858
Inchon	0.0551255
Tarzana	0.0550664
"Cobb County"	0.0550413
Nashua	0.0548725
Tuscaloosa	0.0548422
"Van Nuys"	0.0548414
"Studio City"	0.0546569
"Ocean City"	0.0545593
Charleston	0.0545115
"Jersey City"	0.0544257
"Bergen County"	0.0543706
"Greek capital"	0.0543666
Kabwe	0.0543544
"Central Jakarta"	0.0543491
Pomona	0.0542113
Marseilles	0.0541904
Quincy	0.0541727
"Crystal City"	0.0541356
Mosul	0.0540943
"Overland Park"	0.0540609
"Long Beach"	0.0539832
Schenectady	0.0539364
Assab	0.0539012
"East Orange"	0.0538909
Pusan	0.053721
"Quezon City"	0.0536293
"Woodland Hills"	0.0536076
Bloomington	0.0533765
Posoltega	0.0533497
Larnaca	0.0533237
Guadalajara	0.0532506
Burlington	0.0532183
Qom	0.0530947
"Santa Cruz"	0.0529666
Newark	0.0528126
"Des Moines"	0.052733
Pensacola	0.0526263
Freeport	0.0525323
Framingham	0.0525039
Amarillo	0.0524648
Novosibirsk	0.0524476
Gudermes	0.0522061
"Stone Mountain"	0.0521051
Biloxi	0.0520713
Salonica	0.0520348
Montclair	0.0520004
Raleigh	0.0518916
Xenia	0.0518106
"East St. Louis"	0.0517071
))
(Bellini (desc 1789.54) (sims
Verdi	0.234384
Rossini	0.180962
Puccini	0.147772
Strauss	0.12316
Mozart	0.117602
Tchaikovsky	0.11188
Prokofiev	0.109981
Raphael	0.108788
Gluck	0.105438
Bolcom	0.0958203
"Richard Strauss"	0.0889102
Vivaldi	0.0886766
Berlioz	0.088573
Handel	0.0797776
Brahms	0.0768545
Liszt	0.0765576
Ingres	0.0742524
Ravel	0.0741209
Wagner	0.0707134
Monteverdi	0.0703534
"Norman Rockwell"	0.0694398
"Philip Glass"	0.0679638
"Fifth Symphony"	0.0648201
Renoir	0.0640741
Stravinsky	0.0636543
Schaeffer	0.0631234
Gershwin	0.0630111
Harbison	0.0623611
"van Gogh"	0.0600402
Mahler	0.0596063
Caravaggio	0.0594675
Rembrandt	0.0580903
Rubens	0.0575418
Wagnerian	0.0568789
Goya	0.0552711
"Andre Previn"	0.0548069
Britten	0.0545032
Schubert	0.0529044
"Wild Party"	0.0525126
Bach	0.0517181
Oedipus	0.0515753
Titian	0.0513371
Rideau	0.050651
Messiaen	0.0500803
"Vincent van Gogh"	0.0499933
"Cole Porter"	0.0494871
"LA BOHEME"	0.0487917
Mendelssohn	0.0478835
Nutcracker	0.0477682
"Andy Warhol"	0.0474964
gouache	0.0471157
Turandot	0.0470979
Hurlyburly	0.0461161
"Van Dyck"	0.0458025
Rubenstein	0.0457452
Wiggins	0.0444043
Lucia	0.0443214
Kremer	0.0442137
Gogh	0.0441882
antifreeze	0.0441182
Goff	0.0440935
Susannah	0.0440765
"Pink Floyd"	0.0440463
Rothko	0.0440314
"Randy Newman"	0.0440143
"Billie Holiday"	0.0437159
Bonanno	0.0434728
Purcell	0.0434285
Shaoxing	0.0430065
"humpback whale"	0.0426104
"Peony Pavilion"	0.0424263
"William Shakespeare"	0.0423225
Rhine	0.0420393
Harr	0.0420116
"Beach Boys"	0.0419488
absinthe	0.0418593
"Peking Opera"	0.041853
Debussy	0.0415825
Brecht	0.0411787
Spoleto	0.0409547
Gutman	0.0408875
"Twentieth Century"	0.0401019
))
(Bellow (desc 3790.23) (sims
Chappell	0.108393
Puzo	0.100864
Naipaul	0.0950602
Updike	0.094642
Mortimer	0.0888237
Susann	0.0881355
mailer	0.0854425
Wolfe	0.0845943
Theroux	0.0841906
Rushdie	0.0803452
Austen	0.0753761
Castaneda	0.07317
Hemingway	0.0710014
Vonnegut	0.0708427
Rowling	0.0682856
Alexie	0.0682528
Nabokov	0.0679702
Morrison	0.0660373
Pollack	0.065267
Crowe	0.0642647
Doyle	0.0642253
Purdy	0.0639139
"Tom Wolfe"	0.0631638
Lurie	0.0627739
Eliot	0.0626391
Kerouac	0.0625132
Schulz	0.0622351
Solzhenitsyn	0.0619787
McEwan	0.0617841
Burroughs	0.0617305
Menuhin	0.0615262
Roth	0.0607676
"Larry McMurtry"	0.0603892
Saramago	0.0602448
HELLER	0.0596803
Muller	0.0596058
Walser	0.0595388
"Graham Greene"	0.0590779
Greenwald	0.0583713
Proust	0.0581079
Peretz	0.0581053
Myhrvold	0.0577005
"John Updike"	0.0576189
"Saul Bellow"	0.0572438
Posner	0.0570673
Remnick	0.0570245
Finney	0.0566292
"Ernest Hemingway"	0.0558368
Blackmun	0.0554917
Logue	0.055391
Sinatra	0.055265
Liberman	0.0551632
Harrigan	0.0550617
Borges	0.0550555
Whyte	0.0549088
Farber	0.0549013
Tevanian	0.0548601
Pastore	0.0548587
Irving	0.0547706
Powell	0.054743
Landry	0.0545675
Connell	0.0541809
Sondheim	0.0540026
Conroy	0.0539394
Orwell	0.0538763
"E.L Doctorow"	0.0535019
Cline	0.0534852
Godwin	0.0532887
amis	0.0531833
Postel	0.0531638
Pushkin	0.0528055
Weiner	0.0526641
Lehane	0.0524052
Kaufman	0.052322
Neel	0.0521849
McMurtry	0.0520494
Salinger	0.0519749
Welty	0.0518918
Cusack	0.0518505
Beckett	0.0516847
Sobel	0.0514808
Vogel	0.0513949
Plath	0.0510018
Fitzgerald	0.0509901
Stephenson	0.0508761
Grisham	0.0507596
"Elmore Leonard"	0.0507388
Sibley	0.0505465
Maher	0.0505135
Weinstein	0.0503573
Dunne	0.0501708
Carre	0.0500453
Cheever	0.0499455
Sade	0.0497777
Rockwell	0.0495634
Cornwell	0.0494656
Murdoch	0.0494276
Sarsour	0.0492147
Sheridan	0.0491468
Eisner	0.0491416
Nietzsche	0.0491145
Klemperer	0.0490553
Harr	0.0488591
Mitterrand	0.0487718
Vidal	0.0487284
Kramer	0.0487031
Dubus	0.0486961
Quintero	0.0486847
Wharton	0.0484449
Boyle	0.0480624
Mohamed	0.0480368
Steinbeck	0.0476991
Tilberis	0.0476344
McAllister	0.0474191
Bingham	0.0473145
Benigni	0.0472831
Hartley	0.04716
Rankin	0.0470159
Kincaid	0.0470102
Tolstoy	0.0466837
"Charles Lindbergh"	0.0466331
Echols	0.0465945
"Susan Sontag"	0.0464785
Bernstein	0.0464756
Kohn	0.0463464
Paxon	0.0459054
Rabe	0.045819
Sheehy	0.0456992
Kafka	0.0456694
Bech	0.0455487
"La Russa"	0.0453249
Harbison	0.0453191
"James Jones"	0.0453027
Macdonald	0.0452742
Colette	0.0450917
Heade	0.04496
Atwood	0.0449255
Padilla	0.044899
Springsteen	0.0448784
"Griffith Joyner"	0.044811
Silverstein	0.0447125
Wolff	0.0446919
Lindsey	0.0446748
Shatner	0.0445895
Allchin	0.0443214
Rudman	0.0443031
"George Orwell"	0.0441662
Squier	0.0441036
Farah	0.0440609
Kubrick	0.0440538
Mineta	0.0439272
Conrad	0.0437938
Thurman	0.0437935
Goethe	0.0437892
Krugman	0.0437012
Kroll	0.0437009
McCarthy	0.043672
Limon	0.0436424
Newman	0.0435569
Plante	0.0435564
"Herman Melville"	0.0435151
Mandelson	0.0433854
Greco	0.0432959
Appleby	0.0432724
Batouty	0.0431399
Hoddle	0.0431154
"Bill Walton"	0.04309
Greene	0.0429848
Patton	0.0429677
Wilde	0.0429531
MAMET	0.0428509
Elhage	0.0428366
Vogts	0.0427534
Shoate	0.0426518
"Margaret Mitchell"	0.0426
Daley	0.0425499
McAuliffe	0.0422961
Edmondson	0.0421842
"Henry James"	0.0421734
xu	0.0421213
BARNICLE	0.0420351
Fosse	0.041986
Soong	0.0419817
McCartney	0.0417075
Frazier	0.0415846
Lindbergh	0.0414296
McMillan	0.041411
Gould	0.0413692
Ellison	0.0413052
Drury	0.0412679
Weil	0.0412196
Fassett	0.0411964
Burke	0.0411552
Ravelstein	0.0411072
Quinn	0.0410563
Imperatori	0.040918
Spence	0.0406864
hodgson	0.0406651
Montalvo	0.0406494
Klinsmann	0.0406257
))
(Bellows (desc 1592.19) (sims
Rudman	0.0748852
Heredia	0.0677322
Haines	0.0573942
"night vision"	0.0562866
Updike	0.0543325
"electric current"	0.0515054
Palma	0.0495925
PPI	0.0478336
wretch	0.0471627
Reichel	0.0459925
fourth-graders	0.0451976
"Congressional Research Service"	0.0446557
MacInnis	0.0445571
Cormier	0.0442194
Rucchin	0.044136
Sibley	0.04395
"La Bella"	0.043862
SSB	0.0438469
gopher	0.0429876
"New Nigerian"	0.0429819
hyphen	0.0429618
Andreychuk	0.0428747
tracer	0.0428159
personae	0.0426015
Dowd	0.0423483
"Business Times"	0.0422159
Farah	0.0421526
Alcantara	0.0417178
celebs	0.0416524
Talebi	0.041651
"Daily Times"	0.0414625
Tankan	0.0414562
"RAND Corp."	0.0412821
Patten	0.0406488
Longo	0.0404273
Nikon	0.0402316
Laudrup	0.0402254
Sykes	0.0401446
))
(BellSouth (desc 23379.8) (sims
"Bell Atlantic"	0.290501
SBC	0.240922
"MCI WorldCom"	0.237744
GTE	0.235674
"U S West"	0.210086
Ameritech	0.205169
Vodafone	0.194016
Verizon	0.191718
WorldCom	0.184627
"Deutsche Telekom"	0.182397
Qwest	0.181599
MCI	0.180655
"SBC Communications"	0.172133
"US West"	0.172085
"Time Warner"	0.164764
Motorola	0.159072
Compaq	0.155851
Airtouch	0.155476
IBM	0.155441
Nextel	0.154482
Comcast	0.152889
Cisco	0.152284
"Global Crossing"	0.152057
MindSpring	0.151722
"Pacific Bell"	0.150006
"Pac Bell"	0.14917
EarthLink	0.146624
"America Online"	0.146107
"France Telecom"	0.144811
"British Telecom"	0.144114
"News Corp."	0.143794
Telefonica	0.143619
AOL	0.141309
sprint	0.137896
Mediaone	0.137825
CMGI	0.137261
Nortel	0.13673
TCI	0.136419
"Southwestern Bell"	0.136411
Intel	0.133739
Aetna	0.133676
Pfizer	0.132836
Lucent	0.132394
DaimlerChrysler	0.131277
Coca-Cola	0.131012
Olivetti	0.131012
Dell	0.130878
Lockheed	0.130407
Microsoft	0.130014
EMC	0.129729
"Bell South"	0.129725
Vivendi	0.129656
"Telecom Italia"	0.129513
t	0.129135
Monsanto	0.128293
Citigroup	0.128188
"Sprint PCS"	0.128029
Raytheon	0.125918
ExciteAtHome	0.125887
"Home Depot"	0.125676
Alcoa	0.125675
BankAmerica	0.125516
Viacom	0.124403
"Lucent Technologies"	0.124382
McKesson	0.124077
Unilever	0.123866
WebMD	0.123605
"Philip Morris"	0.123252
oracle	0.123218
Mannesmann	0.123174
"Sprint Corp."	0.122655
"Bell Atlantic Corp."	0.122593
"Cox Communications"	0.122583
NTT	0.122214
Boeing	0.121876
Dupont	0.121653
Pepsico	0.120768
Litton	0.120326
"P&AMP;G"	0.120281
Honeywell	0.119978
TYCO	0.119464
"General Electric"	0.119386
Hewlett-Packard	0.11881
Cablevision	0.118608
"T Corp."	0.118135
"phone company"	0.118135
Lycos	0.117932
Kodak	0.117879
"BP Amoco"	0.117683
Chevron	0.117068
GM	0.116978
Omnipoint	0.116899
"Vodafone AirTouch"	0.116554
"Baby Bells"	0.116381
Seagram	0.11613
Schwab	0.116127
RJR	0.115587
AMR	0.113578
"American Express"	0.113511
VoiceStream	0.112624
Bertelsmann	0.111815
"Ameritech Corp."	0.111787
SkyTel	0.111704
Exxon	0.111638
"Procter &AMP; Gamble"	0.111568
Xerox	0.111353
NIKE	0.111006
"Deutsche Bank"	0.110827
BankBoston	0.110688
"Airtouch Communications"	0.110565
Gillette	0.110305
"telephone company"	0.110219
Alltel	0.109817
Mattel	0.109331
"General Motors"	0.109153
Warner-Lambert	0.109051
"US Airways"	0.108759
ARCO	0.108191
Scientific-Atlanta	0.107582
Disney	0.107488
Merrill	0.107358
Ge	0.107328
Cendant	0.106944
UAL	0.106751
Ericsson	0.106425
CCE	0.106409
Qualcomm	0.106231
"Dell Computer"	0.105968
AIG	0.105631
TELLABS	0.105476
"Thermo Electron"	0.105385
Norwest	0.105032
"Walt Disney Co."	0.10486
Daimler	0.104487
fidelity	0.104126
"GTE Corp."	0.103871
GANNETT	0.103774
Georgia-Pacific	0.103639
Renault	0.103413
ENTREMED	0.103328
KPN	0.103193
NORTHROP	0.10313
Telmex	0.103097
Netscape	0.102771
coke	0.102706
Yahoo	0.102642
Healtheon	0.102471
Medtronic	0.10236
excite	0.102272
"MCI Worldcom Inc."	0.101948
Checkfree	0.101508
Sony	0.101453
Enron	0.101093
Texaco	0.101054
DoubleClick	0.101048
NatWest	0.100442
"BellSouth Corp."	0.100347
"American Home Products"	0.100332
SmithKline	0.0999866
"American Home"	0.0999809
"National Grid"	0.0999015
DirecTV	0.0998592
Ciena	0.0997597
Wal-Mart	0.0997181
Healtheon/WebMD	0.0996036
NiSource	0.0995985
"Coca-Cola Enterprises"	0.0994543
"Y&AMP;R"	0.0989074
BMW	0.0988869
"HBO &AMP; Co."	0.0987074
"Delta Air Lines"	0.0986751
"Phelps Dodge"	0.0986127
"Cisco Systems"	0.0985475
Delphi	0.09848
Siemens	0.0982865
Halliburton	0.0982793
"KCP&AMP;L"	0.0981779
"Ford Motor Co."	0.0981579
Chrysler	0.097937
HP	0.0979337
"Cable &AMP; Wireless"	0.0974265
ENTERGY	0.0970918
WPP	0.0969283
Bristol-Myers	0.0968761
Echostar	0.0968237
Mobil	0.0967198
Sunbeam	0.0963886
Amazon	0.0961329
UBS	0.0956744
Ford	0.0951907
Telstra	0.0948507
Volvo	0.0946063
Anheuser-Busch	0.0945452
"Microsoft Corp."	0.094495
"Network Solutions"	0.0944465
"Sun Microsystems"	0.0940648
"Coca-Cola Co."	0.0940591
"Bankers Trust"	0.0940121
HSBC	0.0938165
"Johnson &AMP; Johnson"	0.0937623
))
("BellSouth Classic" (desc 1999.57) (sims
"Nissan Open"	0.189531
"Tour Championship"	0.136849
"High Museum of Art"	0.114448
"Players Championship"	0.113923
"Bay Hill"	0.113256
pro-am	0.112991
"Memorial Tournament"	0.105666
"Western Open"	0.104723
"PGA Championship"	0.104387
"Italian Open"	0.0966651
TPC	0.0963489
"LPGA Championship"	0.0956181
Sugarloaf	0.0888983
"Buick Invitational"	0.0888886
"Hartsfield International Airport"	0.088652
"Loch Lomond"	0.0883207
"NAPA @@@"	0.0858463
Masters	0.0857381
"French Open"	0.0847233
"Canadian Open"	0.0846012
"British Open"	0.0845554
"German Open"	0.0845193
"Oak Hill"	0.0812317
"U.S. Senior Open"	0.0801325
"Solheim Cup"	0.0797025
"MLS Cup"	0.0776589
"British Opens"	0.0774218
"U.S. Open"	0.0766339
"Olympic Trials"	0.0765058
Opens	0.0763071
Doral	0.0751439
"Buick Classic"	0.0749045
"Chase Championships"	0.0748982
"London Marathon"	0.0745381
"Super Bowl XXXIV"	0.0732824
"Dinah Shore"	0.0732503
"Japan Open"	0.0725272
"Olympic Park"	0.0707968
"Wood Memorial"	0.070662
"Preakness Stakes"	0.0702426
"US Open"	0.0690532
"Mastercard Colonial"	0.0686321
"Arkansas Derby"	0.0681948
"European Cup"	0.0677595
"Phoenix Open"	0.0671604
"Little League World Series"	0.0638442
"Gold Cup"	0.0629708
"Kentucky Oaks"	0.061995
"Hamlet Cup"	0.0608824
"PGA Championships"	0.0594298
"Maurier Open"	0.0591294
"Champions Cup"	0.0588506
"Australian Open"	0.0584604
PGA	0.0579138
"Hyatt Regency"	0.0578075
"Japanese Grand Prix"	0.0577413
"Cup Juvenile"	0.0568104
"U.S. Opens"	0.0564783
"Emory University"	0.0564773
"United States Open"	0.0562887
"Boston Marathon"	0.0561409
Maurier	0.0558681
time-trial	0.055815
"Brickyard @@@"	0.0557003
minicamp	0.0551394
"Pebble Beach"	0.0546188
"College World Series"	0.0545229
off-day	0.0539967
"Dunhill Cup"	0.0532637
"Pikes Peak"	0.0530218
"Dubai World Cup"	0.0529887
Freaknik	0.0529586
"Summer Olympic Games"	0.0525143
Pinehurst	0.0517247
"Montana State"	0.0510942
Belfry	0.0508936
Brickyard	0.0506794
"U.S. Amateur"	0.0505292
"Big Sky Conference"	0.0504898
"AFC Championship Game"	0.0504457
"Centennial Olympic Games"	0.0502903
"double gold"	0.050224
"East Lake"	0.0501015
"Ritz-Carlton Hotel"	0.050018
"Byron Nelson"	0.0494531
earliest	0.0492057
"SEC East"	0.0489869
"UEFA Cup"	0.0489775
"Royal Birkdale"	0.0485983
Futurity	0.0484543
"Le Mans"	0.0483123
"practice range"	0.0482892
"Indy @@@"	0.0478886
"New York City Marathon"	0.0477962
"West Regional"	0.0477186
"Arthur Ashe Stadium"	0.047663
"NL Central"	0.0475874
"Top Fuel"	0.0474492
Giro	0.0472391
"Olympic Club"	0.0471596
"Joyce Theater"	0.0471209
"Lipton Championships"	0.0470698
"Pepsi @@@"	0.0470433
"Suffolk Downs"	0.0464961
"first pole"	0.0461687
"Comiskey Park"	0.0461625
"NEC Invitational"	0.0460849
"critical point"	0.0458102
regionals	0.0457092
"Mark Wohlers"	0.045631
Paralympics	0.0456207
tourney	0.0455551
"Flushing Meadows"	0.0452067
"NFC East"	0.0447809
"Australian Mark Philippoussis"	0.0447018
Foxwoods	0.0442431
All-Tech	0.0442417
Darlington	0.0442029
Carnoustie	0.0441762
"Michael Grant"	0.0440092
"Roland Garros"	0.0439718
"Daytona @@@"	0.043956
"British Grand Prix"	0.0438362
"AFC Central"	0.0435014
Bormio	0.0433422
half-point	0.0432261
mayorship	0.0432199
"Thomas Cup"	0.0430601
"African Cup"	0.0430543
"Cannes International Film Festival"	0.0430314
"East Regional"	0.0429446
"Blue Grass"	0.0428994
"up to @@.@ percent"	0.0427378
"Prudential Securities"	0.0427273
"Pleasant Valley"	0.0427148
by-elections	0.0426488
NHIS	0.0426445
"Augusta National"	0.0423505
"auction block"	0.0421757
"Sears Point"	0.042031
"Olympic Village"	0.0418437
"European Champions Cup"	0.0417792
"nuclear explosion"	0.0417403
"Gold Glove"	0.0416891
"Disease Control"	0.0414587
"Fed Cup"	0.0413185
"summary judgment"	0.0411514
"Consumer Electronics Show"	0.0409073
"eight homers"	0.0409002
"Wesleyan University"	0.0408749
"up to @.@ percent"	0.0406828
"Heisman Trophy"	0.0405431
"New Hampshire International Speedway"	0.0403618
"African Nations Cup"	0.0403588
"National League Championship Series"	0.0402341
"Home Run Derby"	0.0400682
))
("BellSouth Corp." (desc 1640.82) (sims
"Hearst Corporation"	0.13902
"Ameritech Corp."	0.124539
"Chevron Corp."	0.123087
"Mattel Inc."	0.117456
GEC	0.114107
"Chase Manhattan Corp."	0.11126
Litton	0.110809
"MCI Worldcom Inc."	0.11051
"Bell Atlantic Corp."	0.110329
"National Semiconductor"	0.109941
Genzyme	0.109589
"UBS AG"	0.109064
ExciteAtHome	0.10617
"Cadbury Schweppes"	0.105115
"British government"	0.104843
"Dow Jones &AMP; Co."	0.104663
Publicis	0.103692
"Eastman Kodak Co."	0.103492
"Citigroup Inc."	0.102487
SBC	0.101845
BellSouth	0.100347
"Motorola Inc."	0.0973663
"Ford Motor Company"	0.0972487
"T Corp."	0.0971265
"Ford Motor"	0.0969192
"International Business Machines Corp."	0.0957332
"SBC Communications"	0.0951708
"Southern Co."	0.0949594
NTT	0.0949303
"General Motors Corp."	0.094387
CompUSA	0.0942616
"CBS Corp."	0.0941627
"Pepsico Inc."	0.0941282
Gilead	0.0940022
"Diamond Multimedia"	0.0938598
"Times Mirror Co."	0.0935691
"Bank of Israel"	0.0935477
"Aetna Inc."	0.0927524
"RJR Nabisco"	0.092137
"Boeing company"	0.0921194
Heinz	0.0919004
"Viacom Inc."	0.0915223
"SBC Communications Inc."	0.0913717
"Hughes Electronics Corp."	0.0909121
"Sony Corp."	0.0906529
BOC	0.0903882
"Bank of Scotland"	0.0903658
Alltel	0.0898853
"France Telecom"	0.0892003
Instinet	0.0885962
Georgia-Pacific	0.0885729
Nestle	0.088248
"Procter &AMP; Gamble Co."	0.0881553
"General Electric Co."	0.088052
"Hearst Corp."	0.0879025
"Exxon Corp."	0.0878785
"Gap Inc."	0.087765
"Philip Morris Cos."	0.0876555
"GE Capital"	0.087653
"MindSpring Enterprises"	0.0875736
"Deutsche Bank AG"	0.0873698
"Baby Bells"	0.0873319
Federated	0.0871012
iXL	0.0870649
NTL	0.0855586
"Volvo AB"	0.0853563
"Gillette Co."	0.0851079
"Levi Strauss &AMP; Co."	0.0850171
Viacom	0.0845
BNFL	0.0843816
"Cisco Systems Inc."	0.0838549
GTE	0.0838431
"Morgan Stanley Dean Witter &AMP; Co."	0.0835397
NORTHROP	0.0832086
"Siemens AG"	0.0831777
Nortel	0.0830485
Echostar	0.0830468
"New York Times Co."	0.0829856
IDT	0.0828559
TYCO	0.0827306
Tropicana	0.0826343
"Commission on Elections"	0.0824986
"BankAmerica Corp."	0.082349
Adelphia	0.0822401
Allianz	0.0817341
"Kraft Foods"	0.0815704
"Bankers Trust Corp."	0.0814727
"Philip Morris"	0.0813445
"Ford Motor Co."	0.0812209
"Wells Fargo"	0.0811964
Hasbro	0.0811558
NiSource	0.0811254
"Adobe Systems"	0.0804726
"Thai Farmers Bank"	0.080398
Kodak	0.0803575
"Home Ministry"	0.0802882
"Chase Manhattan Bank"	0.080283
McKesson	0.0802296
"Sprint Corp."	0.080183
"Carl Icahn"	0.0800424
"Volkswagen AG"	0.079948
"Chase Manhattan"	0.0799181
"Deutsche Bank"	0.079652
Bridgestone/Firestone	0.0796071
"HBO &AMP; Co."	0.0795346
"Hongkong Telecom"	0.0791534
"Omnicom Group"	0.0790816
"Consumers Union"	0.0790537
BankAmerica	0.0788952
"Enron Corp."	0.0788584
DaimlerChrysler	0.078829
"Vodafone AirTouch"	0.0782395
PictureTel	0.0782242
"Prudential Insurance Co."	0.0781891
"Visa International"	0.0780802
Ameritech	0.077918
"Hong Kong Telecom"	0.0778502
"Ministry of International Trade and Industry"	0.0777907
"MCI WorldCom"	0.0777874
"Singapore Telecom"	0.0774617
SunTrust	0.0773199
Bertelsmann	0.0772482
"Federated Department Stores"	0.0771366
"Salt Lake Organizing Committee"	0.0769614
WPP	0.0767825
"U.S. Soccer Federation"	0.0766559
"Texas Instruments"	0.0765411
"British Telecom"	0.0765232
"Southwestern Bell"	0.0764408
"Delta Air Lines"	0.0764006
"Bertelsmann AG"	0.0759959
ABSA	0.07595
Omnicom	0.0755611
Drugstore.com	0.07533
Portnoy	0.0752153
Aegon	0.0751603
"Abbott Laboratories"	0.075034
"Compaq Computer Corp."	0.0748576
"China Youth Development Foundation"	0.0748046
"Arnold Communications"	0.074769
"Australian Olympic Committee"	0.0746663
"Dell Computer Corp."	0.0745377
Daimler-Benz	0.0745182
"Daimlerchrysler AG"	0.0744811
Pepsico	0.0742421
"Monsanto Co."	0.074044
"Commerce Ministry"	0.0740342
"John Prescott"	0.0737718
"British Telecommunications"	0.0737468
"Lucent Technologies"	0.0736216
"Malaysia Airlines"	0.073614
"GTE Corp."	0.0734074
"Health and Welfare Ministry"	0.073401
CMGI	0.0733956
Alcatel	0.0733231
MetLife	0.0732967
"Pudong International Airport"	0.0732859
"Cendant Corp."	0.0731677
RJR	0.0731466
"Nomura Securities"	0.0729916
"America West Airlines"	0.0728653
Seagram	0.0727818
"Aetna U.S. Healthcare"	0.0726015
Vodafone	0.0724611
"Consolidated Edison"	0.0724068
Interpublic	0.0723296
Alcoa	0.0722936
Sunbeam	0.0720969
"Knight Ridder"	0.0720324
"Renault SA"	0.071968
Modell	0.0718491
"Sears, Roebuck &AMP; Co."	0.0718007
"Advanced Micro Devices"	0.0717481
Lucent	0.071638
"Defense Agency"	0.0716177
"First Union Corp."	0.0713544
"Department of Public Health"	0.0713172
"Walt Disney Co."	0.071202
"Bank of Italy"	0.071139
"News Corp."	0.0711195
"R Block"	0.0709895
"Coca-Cola Co."	0.0709575
Starwood	0.0708627
"Hughes Electronics"	0.0708525
Deutsche	0.0708025
"Berkshire Hathaway"	0.070793
Aetna	0.0705265
Bayer	0.0704638
"Sara Lee"	0.0702902
Difrancesco	0.0702445
"Macao Government"	0.0701956
"Kenyan Government"	0.070137
"Merrill Lynch &AMP; Co."	0.0701137
Citibank	0.07
"Central Bank of Nigeria"	0.0699439
"Philippine Central Bank"	0.069927
Telefonica	0.0698502
"Olympic Council of Asia"	0.0698313
"Royal Bank of Scotland"	0.0697921
"European Space Agency"	0.0694358
))
(Bellush (desc 1305.76) (sims
Moxley	0.276811
Starovoitova	0.191635
Winchell	0.183172
Slepian	0.183165
Hajdari	0.172696
Neulander	0.170022
Webdale	0.166368
Snead	0.165812
Guerin	0.160374
Gerardi	0.156537
Gaither	0.15593
"Martha Moxley"	0.149748
Dahmer	0.146304
"James Byrd"	0.142541
Amedure	0.139213
Hiett	0.138356
"Ruiz Massieu"	0.138276
Benton	0.133773
Ileto	0.132627
Ricart	0.130857
"JonBenet Ramsey"	0.129771
Aquino	0.129571
JonBenet	0.122511
Kurth	0.121827
Stahl	0.119635
Silverman	0.119611
"James Byrd Jr."	0.117569
Dorismond	0.11739
Shepard	0.115576
Sund	0.114173
Hani	0.113562
Diallo	0.112906
Arkan	0.112597
ex-girlfriend	0.110881
Middleton	0.110722
McIntosh	0.110196
Ramseys	0.108432
Grasso	0.107713
Cosby	0.105674
Hersh	0.105054
Raznatovic	0.104021
"Lee Harvey Oswald"	0.103904
"Nicole Brown Simpson"	0.102802
Byrd	0.102585
Brockovich	0.101759
postman	0.099887
"Matthew Eappen"	0.0995271
Rabin	0.0989267
"Kendra Webdale"	0.0984866
Lawler	0.0978773
Kagalovsky	0.096761
Hallinan	0.0955808
Kehoe	0.095305
Fordice	0.0938711
Blackthorne	0.0921117
Selena	0.0917612
"Thomas Youk"	0.0911624
Shriver	0.0908073
"Claudia Benton"	0.0902714
Jeffers	0.0897188
"Matthew Shepard"	0.0894673
Sheppard	0.0893539
"Marianne Gingrich"	0.0892399
PFC	0.0887768
Eappens	0.0886627
Lindland	0.088227
O'Hair	0.0874538
Machel	0.0873388
storey	0.0871709
Ono	0.0859295
Carnegie	0.0858563
Lugo	0.0852825
McGinn	0.0851303
"mail carrier"	0.0847707
"Galina Starovoitova"	0.0825746
Hong	0.0821912
"Barnett Slepian"	0.0821662
"Gianni Versace"	0.0821572
Butterworth	0.0818986
Kimes	0.0817913
Palczynski	0.0816978
Cobain	0.081527
Bhutto	0.0809598
Lennon	0.0808199
Brewster	0.0799454
Zia	0.07988
Kelso	0.0795969
Sharma	0.0795295
Noe	0.079393
Matasareanu	0.0791714
Callaghan	0.0788005
Harding	0.0786926
"Czar Nicholas II"	0.0783309
Fassett	0.0781785
"Vincent Foster"	0.0778083
"traveling salesman"	0.0777801
Broaddrick	0.077556
Fahey	0.0774407
"Robert F. Kennedy"	0.0774036
"Robert Kennedy"	0.0771746
McDougal	0.0770821
Grissom	0.0766818
Bechtel	0.0765937
jacoby	0.07651
Lollar	0.0762363
Adair	0.0760903
Markhasev	0.0760762
Galindo	0.0760611
Madden	0.0759856
Whaley	0.0758939
Lovett	0.0756593
"Amadou Diallo"	0.0755995
Flores	0.075359
Howell	0.0753335
Capps	0.0750909
Quintana	0.0750598
Halloran	0.0749426
"Carole Sund"	0.0739416
Baez	0.0736258
Sweeting	0.0729888
cellmate	0.0729098
Pirro	0.0725169
wheeler	0.0722768
Willey	0.0721078
Dudayev	0.0719957
Gandhi	0.0719033
Tierney	0.0716718
Soliah	0.0715395
Mapes	0.0713976
Fasano	0.0713734
Ziegler	0.0713679
Mathews	0.071324
Zagat	0.0711408
Chu	0.0710233
"Medgar Evers"	0.0709979
Dominguez	0.0709928
exwife	0.0709911
Castaneda	0.0708823
Soto	0.0707638
Paciello	0.0706565
Barton	0.0705273
"Leigh Ann"	0.0704818
Gauthe	0.0704144
Borrego	0.0703986
Speer	0.0703703
Markovic	0.0702049
Capano	0.0701453
Onassis	0.0700253
Hoke	0.0697941
"Bobby Phills"	0.0687404
Escobar	0.0686646
Herrera	0.068661
Koresh	0.0686257
Kennelly	0.0684586
Garzon	0.0682032
Greco	0.0681451
"Tupac Shakur"	0.06814
Al-Amin	0.0678818
Sakic	0.0678768
Byrdsong	0.0676423
Loeb	0.0676062
Laudor	0.0674535
Soriano	0.066956
Gritz	0.0668206
"police sergeant"	0.0667839
McLaughlin	0.0666456
Slatkin	0.0662026
Rosario	0.0660368
Hurtado	0.0658532
B.J	0.0656885
Corcoran	0.0656875
Lundy	0.0654621
"JFK Jr."	0.065437
Boles	0.0654199
Martorano	0.0653072
Watkins	0.0646273
Bartley	0.0645339
Limon	0.0644977
tribesman	0.0644929
motorcyclist	0.0644214
Hartman	0.064417
Goldstein	0.0643791
Copt	0.0643544
"civil rights leader"	0.0643537
Shao	0.0643445
ex-husband	0.0643427
Clarke	0.0642831
"Malcolm X"	0.0642524
Ramirez	0.0642416
Hage	0.0642053
Lundberg	0.0641603
Shinn	0.0637239
Ashrawi	0.0636073
"monarch butterfly"	0.0634987
Grunow	0.0630774
Rushdie	0.0630357
Shayler	0.0629433
Swango	0.0626078
"Griffith Joyner"	0.0625527
Musa	0.0625213
))
(bellwether (desc 9337.89) (sims
barometer	0.129199
gauge	0.0945348
benchmark	0.0925586
"test case"	0.0864098
indicator	0.081574
harbinger	0.0814
battleground	0.0784041
"foregone conclusion"	0.0764423
"blue chip"	0.0757183
"leading indicator"	0.0722906
laggard	0.0711174
chipmaker	0.068799
hotbed	0.0673906
kingmaker	0.0672732
"turning point"	0.0667116
toss-up	0.06487
"takeover target"	0.0643932
bulwark	0.0630786
yardstick	0.0613804
incubator	0.0607624
predictor	0.0585297
omen	0.0583675
Bovespa	0.0583184
"stepping stone"	0.0580743
"driving force"	0.0567299
catalyst	0.0552462
highflier	0.0552036
watershed	0.0551422
"computer giant"	0.0551224
steppingstone	0.0545123
"rallying point"	0.0541438
"key market"	0.054132
cure-all	0.053461
boon	0.0531226
shoo-in	0.0530928
panacea	0.0530644
bastion	0.0528846
"death warrant"	0.0528642
chipmakers	0.0521563
"standard bearer"	0.0515458
softening	0.0514397
watchdog	0.0513016
crosscurrent	0.0512901
cornerstone	0.0511405
powerhouse	0.0511027
indication	0.0509078
custodian	0.0508105
gadfly	0.0507253
savior	0.0505486
linchpin	0.0502769
proxy	0.0502651
exigency	0.0500234
"point of reference"	0.0500087
pariah	0.0494804
"proving ground"	0.0486394
"safety valve"	0.0485146
"semiconductor maker"	0.0482318
anachronism	0.0481871
vindication	0.0477801
moneymaker	0.0476105
"sounding board"	0.0475596
"trade association"	0.047499
"FTSE @@@"	0.0474897
milestone	0.0474159
Portal	0.0473188
"dark horse"	0.0472226
guarantor	0.047197
"fall guy"	0.0471887
also-ran	0.0471744
axiom	0.0469987
troubleshooter	0.0468288
heretic	0.0467734
blessing	0.0467248
"reference point"	0.0466831
roadmap	0.0465656
precursor	0.0462915
underwriter	0.0462679
indicative	0.0460041
lifeline	0.0459477
cog	0.045888
darling	0.0455551
backbone	0.0455549
"cash cow"	0.045369
Gateway	0.045193
hub	0.0451851
clearinghouse	0.045153
"cause celebre"	0.0448257
"lightning rod"	0.0443876
heavyweight	0.0443183
ramification	0.0440928
indices	0.0440664
flagship	0.0439023
reversal	0.0438119
aberration	0.043651
counterweight	0.0436463
cliffhanger	0.0434264
"JDS Uniphase"	0.0433372
"hot potato"	0.043332
"object lesson"	0.0431815
"stumbling block"	0.0430635
arbiter	0.043024
FTSE	0.0430031
"short selling"	0.0428509
has-been	0.0427797
haven	0.0427369
"success story"	0.0426682
Nasdaq	0.0422928
manifestation	0.0422004
"good example"	0.0419965
"role model"	0.0419568
frontrunner	0.0418605
microcosm	0.0417367
selloffs	0.0416408
"growth industry"	0.0415019
RWE	0.0413701
bedrock	0.0413176
no-brainer	0.0412587
headhunter	0.0411418
entrepot	0.041084
impediment	0.0410572
Correction	0.0408238
sideshow	0.0407547
ploy	0.0405439
nexus	0.0405391
RAMBUS	0.0404908
repurchase	0.040406
interloper	0.0403374
liquidity	0.0402101
"gold standard"	0.0401634
guru	0.040028
"quick fix"	0.0400247
))
(belly (desc 22145.1) (sims
stomach	0.145581
abdomen	0.128295
buttock	0.114839
chest	0.104653
tail	0.0978395
nose	0.091686
thigh	0.0905561
tummy	0.0882027
jaw	0.0860934
breast	0.0843644
neck	0.0839502
cheek	0.0829696
forehead	0.0825506
torso	0.0780707
leg	0.0779177
snout	0.0760307
shoulder	0.0751587
throat	0.0749488
waist	0.0740427
skin	0.0716571
mouth	0.069791
rump	0.068762
lip	0.0686381
goatee	0.0686363
backside	0.0678351
nostril	0.0663745
gut	0.0656765
"rear end"	0.0648635
rib	0.0643103
wrist	0.0642459
genital	0.0631621
Chin	0.0629761
bosom	0.0623835
ear	0.062209
rear	0.0619261
groin	0.0618688
knee	0.0612512
lung	0.0611092
biceps	0.0610812
forearm	0.0607205
hair	0.0606333
butt	0.0603568
midriff	0.0603558
scalp	0.0600572
tongue	0.0598785
finger	0.0595872
trunk	0.0588942
womb	0.0587373
spine	0.0574453
brain	0.0568797
fuselage	0.0562251
teeth	0.056018
mustache	0.0557303
skull	0.0555629
crotch	0.0554463
pelvis	0.0552343
limb	0.0552058
elbow	0.0542489
uterus	0.0542062
hip	0.0538602
eyebrow	0.052206
sleeve	0.0519621
navel	0.0519165
shin	0.0515394
pant	0.051114
toe	0.050914
wallet	0.0508154
backpack	0.0500589
hairline	0.0499824
collar	0.0498413
Beard	0.0497587
bottom	0.049736
bone	0.0495174
closet	0.0485946
waistline	0.0485261
tank	0.0484453
pocket	0.0482125
"rib cage"	0.0481246
Foot	0.0480019
calf	0.0479737
claw	0.0475499
Rolodex	0.0473615
sinus	0.0473038
flesh	0.0470272
joint	0.0469397
shoe	0.0467115
insides	0.0466727
ankle	0.0464687
roof	0.0463403
shirt	0.0460981
"file cabinet"	0.0459985
"black eye"	0.0458442
muscle	0.0457503
intestine	0.0457183
fingernail	0.0454538
hat	0.0454338
bra	0.0454267
beak	0.0453564
eyelid	0.0453164
paw	0.0452715
ego	0.0452617
mane	0.0451101
drawer	0.045
ovary	0.0446773
grin	0.0444705
briefcase	0.0444294
shaft	0.0444048
sandal	0.0443949
"right hand"	0.0442975
bladder	0.0441798
lump	0.0441612
wig	0.0441559
Tooth	0.0441477
dashboard	0.0440513
skirt	0.044038
forefinger	0.0439372
stocking	0.0439008
tusk	0.0437479
pouch	0.0435999
braid	0.0435816
thumb	0.043315
carcass	0.0430975
fist	0.0430347
binder	0.0428397
pavement	0.0427838
armpit	0.0425724
liver	0.0425228
pillow	0.0425198
Eyes	0.0422048
glass	0.0421078
sock	0.0420232
nipple	0.0419383
underwear	0.0418836
apron	0.0418532
patch	0.0418506
shelf	0.0416941
helmet	0.0413187
kidney	0.041282
bowel	0.041067
deck	0.0409269
"trash can"	0.0408474
jacket	0.0408282
knuckle	0.0408174
boot	0.0407811
windshield	0.0407425
cockpit	0.0405872
"lymph node"	0.0405321
wing	0.0405135
tattoo	0.0404562
glove	0.0404374
Sash	0.040213
eyeball	0.0402098
canvas	0.0401754
bruise	0.0401014
coffin	0.0400413
))
("belly dancer" (desc 1091.1) (sims
"exotic dancer"	0.132429
"opera star"	0.11416
"ballet dancer"	0.108695
"folk singer"	0.10592
"volleyball player"	0.105212
juggler	0.0984923
vaulter	0.0969275
bullfighter	0.0929682
Macaque	0.0920423
triathletes	0.0878079
transsexual	0.0877971
"fashion model"	0.0861519
"musical group"	0.0859828
"disk jockey"	0.0859732
"chess player"	0.0836905
"killer whale"	0.0824796
processional	0.0815823
transvestite	0.0792318
"film star"	0.0775374
exterminator	0.0770671
"dead person"	0.0766534
acrobat	0.0760738
educationist	0.0750257
supermodel	0.0739964
striptease	0.0738515
pronoun	0.0735632
cellist	0.0730093
violinist	0.0729058
skateboarder	0.0725292
ballerina	0.0722818
circumcision	0.0713751
"military band"	0.0706083
stripper	0.0703415
"jazz musician"	0.0695825
claimer	0.0688062
beekeeper	0.0686203
Taufik	0.0679514
houseguest	0.0677244
herbalist	0.0675026
soloist	0.0674953
Mae	0.0663608
Chinese-American	0.0656764
calligrapher	0.065492
rulebook	0.0654728
triathlete	0.0648022
"school girl"	0.0643152
Intimidator	0.0637259
forger	0.0632653
divorcee	0.0630846
snowboarder	0.0625986
bodybuilder	0.0623556
"symphony orchestra"	0.0623197
"sex hormone"	0.0622774
"rock star"	0.0622633
shoplifter	0.062201
"Bengal tiger"	0.0620006
"pirate ship"	0.0618613
paraplegic	0.0616578
sportswriter	0.0615603
"Southern Baptist"	0.060943
geisha	0.0609349
seminarian	0.0608723
"African elephant"	0.0608597
virtuoso	0.0607011
"garment worker"	0.0605347
pinup	0.0605078
tamer	0.0604131
"man of letters"	0.0604083
mastodon	0.0600703
newscaster	0.0596246
"divorce lawyer"	0.0595534
"disc jockey"	0.0592433
Roadrunner	0.058994
"police lieutenant"	0.0588752
vocalist	0.0587991
gunslinger	0.0587271
"pole vaulter"	0.0587075
"altar boy"	0.0587047
"scuba diver"	0.0584452
"TV star"	0.0583391
"sea lion"	0.0581298
mermaid	0.0580749
craftspeople	0.0573638
"jazz band"	0.0567132
newspaperman	0.0563488
householder	0.0562519
"plastic surgeon"	0.0561926
"foreign service officer"	0.0561205
near-monopoly	0.0560902
deejays	0.0560466
"United States Congress"	0.0560143
skiiers	0.0559235
co-anchor	0.0556027
puppeteer	0.0553625
"hot stock"	0.0552012
bather	0.055069
"stock company"	0.0549663
cartwheel	0.0548558
cheetah	0.0548151
hobo	0.0547281
starlet	0.0545227
"West Lake"	0.0544467
"money changer"	0.0544026
percussionist	0.0542807
airman	0.0542418
woodworker	0.0540162
megastar	0.0536094
teahouse	0.0534598
impersonator	0.0534483
promiscuity	0.0533851
"registered nurse"	0.0531152
rapper	0.0529186
atheist	0.0528414
"electrical engineer"	0.0528092
infantryman	0.0527849
B-@	0.0527318
minnow	0.0526871
Berra	0.0526258
cantor	0.0525948
"sea otter"	0.0525166
instrumentalist	0.0524429
"hockey player"	0.0524288
D.J	0.0523987
"piece of music"	0.0523442
"Passion play"	0.0523416
scoutmaster	0.0522014
groupie	0.0521768
Yarmila	0.0520778
abbot	0.0520507
"heart surgeon"	0.0520326
temptress	0.0517974
"Foxy Brown"	0.0515082
hipsters	0.0513465
Shandling	0.0512894
"professional golfer"	0.0512343
folklorist	0.0511428
"polar bear"	0.0508
"Steve Shields"	0.0506581
cartoonist	0.0506394
donkey	0.0505698
"Frank Jobe"	0.0505297
partygoer	0.0501096
"Frederick Law Olmsted"	0.0501093
giraffe	0.0500223
"second person"	0.0498924
"Taj Mahal"	0.049866
"Hail Mary"	0.049835
linguist	0.0497621
lifeguard	0.0496684
stylist	0.0495741
footballer	0.0494793
pornographer	0.049367
quadriplegic	0.0493329
asp	0.0492748
"blind man"	0.0492485
"staff sergeant"	0.0490557
"triple play"	0.0490478
goal-scorer	0.0489884
aviator	0.0489546
voice-overs	0.0488877
"Black Panther"	0.0488757
plumage	0.0488703
enlistee	0.0488677
orangutan	0.0487824
shuttler	0.0487508
Rockettes	0.0487354
"Bordeaux wine"	0.0487094
schoolgirl	0.0486799
armadillo	0.0485042
meatpackers	0.0484559
marathoner	0.0484496
"Bob Fosse"	0.0482089
"bit part"	0.048007
Sportsman	0.0478843
sherpas	0.0478607
Litigator	0.047853
"funeral director"	0.0478152
"foster mother"	0.0477795
"film maker"	0.0477669
"great grandmother"	0.0477156
shaver	0.0476858
turncoat	0.0475012
TU-@@@	0.0474628
crewmates	0.0473821
vote-getters	0.0473752
"fashion designer"	0.0472034
mime	0.0470883
clarinetist	0.0470508
"right whale"	0.0470402
whistle-blower	0.0470106
"grad student"	0.0469648
preservationists	0.0468988
beautician	0.0468686
psychotherapist	0.046823
"leading lady"	0.0468071
vagabond	0.0468001
"Pope John Paul"	0.046749
swan	0.0467303
"Jessye Norman"	0.0467118
"O.J Simpson"	0.0466522
))
(Belmont (desc 26524.5) (sims
"Belmont Stakes"	0.289848
Preakness	0.218664
"Kentucky Derby"	0.188556
"Belmont Park"	0.188464
Derby	0.166288
Travers	0.149748
"Gold Cup"	0.128459
"Santa Anita Derby"	0.127896
"Dubai World Cup"	0.120427
Saratoga	0.117893
"Churchill Downs"	0.117192
"Santa Anita"	0.113331
"Hollywood Park"	0.111178
"Kentucky Oaks"	0.1069
"triple crown"	0.105208
"Del Mar"	0.104755
"Gulfstream Park"	0.102262
"Cup Classic"	0.102202
"Pacific Classic"	0.0969827
"Florida Derby"	0.0969222
Pimlico	0.0960638
"Jockey Club Gold Cup"	0.0956964
Oaks	0.092647
"Boston Marathon"	0.0922307
Haskell	0.092201
"Blue Grass"	0.0907377
"Cup Juvenile"	0.0896862
"Arkansas Derby"	0.0868165
"Santa Anita Handicap"	0.0846615
"Preakness Stakes"	0.0845597
Gulfstream	0.0820983
Keeneland	0.0815315
"Jim Dandy"	0.0764655
"Daytona @@@"	0.0763943
"Fair Grounds"	0.0755759
"Belmont Learning Center"	0.0753403
"Hollywood Gold Cup"	0.0741687
"Real Quiet"	0.0728986
distaff	0.0722514
"Indy @@@"	0.071943
"Tour de France"	0.0698814
marathon	0.0695555
Indy	0.0694175
"Le Mans"	0.0693912
Woodward	0.0689663
"San Rafael"	0.0682002
Daytona	0.0681348
Lexington	0.0677215
"New York City Marathon"	0.0677115
Masters	0.0676542
"U.S. Open"	0.0648705
"British Open"	0.0637256
"London Marathon"	0.0637065
Indianapolis	0.0635479
"Brickyard @@@"	0.0629575
Futurity	0.0610053
Aqueduct	0.0608365
Dover	0.0582471
"Texas Motor Speedway"	0.058191
"PGA Championship"	0.0580438
slalom	0.0574014
"European Cup"	0.0565525
Brickyard	0.0564128
"Wood Memorial"	0.0563195
"Winston Cup"	0.0558449
TM	0.0548277
Brookline	0.0546752
Olympics	0.0546032
Wimbledon	0.0544896
"Super Bowl"	0.0533335
championship	0.0529936
breeder	0.0522178
"Victory Gallop"	0.0521209
"World Series"	0.0520596
"French Open"	0.0512511
"US Open"	0.0505265
"World Cup"	0.0502886
cup	0.0499086
"Buick Classic"	0.0498815
"Australian Open"	0.0496519
"College World Series"	0.049407
"Indianapolis Motor Speedway"	0.0487998
"NCAA Tournament"	0.0487173
"Pepsi @@@"	0.048683
"Central Division"	0.0485929
sprint	0.048308
Cambridge	0.0481592
postseason	0.0481448
"Daytona International Speedway"	0.0480822
Pocono	0.0479994
Darlington	0.0477862
Lukas	0.0477549
paddock	0.0476665
horse	0.0471459
Martinsville	0.0468092
playoff	0.0467951
"senate race"	0.0467362
"NFC East"	0.0466963
"Game @"	0.0466509
charismatic	0.046408
"general election"	0.0462099
primary	0.0461719
IRL	0.0460926
seventh	0.046066
Suffolk	0.0460395
"European Championship"	0.0459425
freestyle	0.0456328
"New Hampshire"	0.045333
"All-Star Game"	0.0452194
"Lone Star"	0.0452117
Concord	0.0451046
"governor's race"	0.0448864
opener	0.0447854
Talladega	0.0447288
stakes	0.0442986
Tucson	0.0442045
Medford	0.0441033
tourney	0.0439099
runoff	0.0437513
"NBA Finals"	0.0436311
filly	0.043499
"Grand Prix"	0.0434443
"Silver Charm"	0.0433801
"playoff game"	0.0433315
ACC	0.0432061
"Fiesta Bowl"	0.0431227
"Las Vegas"	0.0430696
Richmond	0.0429134
Littleton	0.0428573
AFC	0.0427391
Waltham	0.0427097
lottery	0.0426919
NFC	0.0426841
Rockingham	0.0426808
"Western Conference"	0.0425865
"Ryder Cup"	0.0425416
downhill	0.0425404
Bedford	0.0424206
"Santa Clarita"	0.0421852
"Sydney Olympics"	0.0421622
finale	0.0421533
Michigan	0.0420658
"Atlanta Olympics"	0.0420231
hurdle	0.0420008
Phoenix	0.0419973
PGA	0.0419777
NBA	0.0416394
"Commonwealth Games"	0.0415957
Baltimore	0.0415751
Fenway	0.0415343
"American League West"	0.0415048
"Pebble Beach"	0.0414592
"AFC East"	0.0414202
"AL Central"	0.0413783
Arlington	0.041238
Baffert	0.0410513
"D. Wayne Lukas"	0.0409291
"Tour Championship"	0.0406764
"Rose Bowl"	0.040611
"Stanley Cup"	0.0405584
"Skip Away"	0.0404904
Heisman	0.0403532
"Pro Bowl"	0.0401972
"Long Beach"	0.0401594
Churchill	0.0401199
NLCS	0.0400955
))
("Belmont Learning Center" (desc 1333.27) (sims
"Gorges Dam"	0.142985
Xiaolangdi	0.0929922
"Bank Bali"	0.0906428
"Bank of Japan Ltd."	0.0879633
"Long-Term Credit Bank"	0.085126
heliport	0.0841742
"National Missile Defense"	0.0838847
cofferdam	0.0836957
"Rampart Division"	0.0835384
"Gorges Project"	0.0823764
"International Space Station"	0.0809499
"ring road"	0.0806925
"Big Dig"	0.0795968
"Erie Canal"	0.0773663
X-@@	0.0764329
Belmont	0.0753403
"Miller Park"	0.0752316
collider	0.073519
LNG	0.0727094
viaduct	0.0708413
waterworks	0.0691329
Iran-contra	0.0681062
"Lawrence Phillips"	0.0680828
"Convention Center"	0.0677047
seawall	0.0663773
"trunk line"	0.0659341
trestle	0.0652674
Clinton-Lewinsky	0.0652343
"Har Homa"	0.0642579
"Stan Collymore"	0.0635944
"child welfare agency"	0.0635903
Israeli-Palestinian	0.0627655
"highway system"	0.0623352
"Beijing-Kowloon Railway"	0.0620741
"Pudong International Airport"	0.0598796
"house of cards"	0.0596729
"access road"	0.0594019
earthwork	0.0592043
"Olympic Village"	0.0586842
epilogue	0.05801
"water project"	0.0575583
defoliant	0.0572521
"transmission line"	0.0571448
"suspension bridge"	0.0570104
"Daewoo Group"	0.0569796
RU-@@@	0.0562765
EPZ	0.0561264
"rail line"	0.0552639
"data file"	0.0549097
"Gennifer Flowers"	0.054593
zillion	0.0545625
"Joint Strike Fighter"	0.054352
hacienda	0.0543444
NHS	0.0536519
"railroad line"	0.0534515
declassification	0.0534023
"Millennium Dome"	0.0533886
"railway system"	0.0529994
"railway car"	0.0528704
"Cecil Collins"	0.0527978
flyover	0.0527306
Silverado	0.0526048
"Hyatt Regency"	0.0521405
wharf	0.051715
cistern	0.0516896
"slush fund"	0.0509296
"nuclear-powered submarine"	0.0506374
incinerator	0.0505929
"Paul Gascoigne"	0.0505106
smelter	0.0504389
"American Psycho"	0.0502759
"Christian Democratic Union"	0.0502307
"resort hotel"	0.0500778
"seventh and eighth"	0.049672
rampart	0.0496251
LTCB	0.0494737
airship	0.049367
"New Jersey State Police"	0.0493551
"Los Angeles Unified School District"	0.0492272
"Terminal @"	0.04909
NMD	0.0487572
DS	0.048724
"civic center"	0.0487132
VFA	0.0485733
"telephone network"	0.0485261
"Berlin Wall"	0.0484672
Redux	0.0481173
kiln	0.0479785
"steel mill"	0.047691
monorail	0.0476796
"counsel law"	0.0476063
"trust account"	0.0475878
"Kuril Islands"	0.0471099
"Panama Canal"	0.046995
MIAs	0.0467192
T-@@	0.0463415
"liquefied natural gas"	0.0462155
"Atlantic Richfield Co."	0.0460091
"Go Network"	0.0459995
"Memorial Hall"	0.045991
watchtower	0.0455544
"home rule"	0.0451649
"Underground Railroad"	0.0451442
"ABM Treaty"	0.0448563
megaplexes	0.0448511
"Expo @@@@"	0.0446422
refurbishment	0.0444417
electrification	0.0444225
"Beijing Opera"	0.0444073
riverfront	0.044398
"pumping station"	0.0442973
Netcenter	0.0441422
intranet	0.0440821
"first unit"	0.0440451
"slide rule"	0.043972
edifice	0.0438464
Perec	0.0438276
retooling	0.0438121
"textile mill"	0.0437148
"a few meters"	0.04371
Arad	0.0436756
"sewage disposal"	0.0436397
"National Trust"	0.0435906
"coal industry"	0.0434325
granary	0.0432896
taxiway	0.0430604
"savings and loan"	0.0430004
Valhol	0.0428369
"movie house"	0.0427786
"apartment house"	0.0426967
A@XX	0.0426466
"garbage disposal"	0.042533
"Confederations Cup"	0.0425233
"Department of Environmental Conservation"	0.0423359
"Ford Mustang"	0.0423005
"Tate Gallery"	0.0422566
decoding	0.0422198
"Francis Bacon"	0.0420981
redevelopment	0.0420423
"water tank"	0.0420396
"Iron Giant"	0.0419144
derrick	0.0416291
"rocket engine"	0.0416053
glider	0.0414324
"software system"	0.0414294
"Free World"	0.041244
overpass	0.0408648
"Los Angeles Police Department"	0.0408105
DDT	0.0407632
Hunley	0.0407495
"Chrysler Building"	0.0406529
"Jonathan Pollard"	0.0405895
"Last Supper"	0.0405353
"Kuwait Stock Exchange"	0.0404359
"particle accelerator"	0.0403896
damming	0.0403542
"Boland Hall"	0.0403074
"railroad track"	0.0402821
AFTA	0.0402809
Quackenbush	0.0402755
coursework	0.040272
Shiva	0.0402255
tailwind	0.0402137
hydro	0.0400843
"Kai Tak Airport"	0.0400394
))
("Belmont Park" (desc 6982.06) (sims
"Churchill Downs"	0.218999
"Gulfstream Park"	0.205943
"Hollywood Park"	0.202688
"Santa Anita"	0.198976
Saratoga	0.192616
Belmont	0.188464
Keeneland	0.181111
"Del Mar"	0.16847
Pimlico	0.128662
Gulfstream	0.126144
Aqueduct	0.118739
"Millrose Games"	0.0934108
"Lone Star"	0.0933383
Pir	0.088932
"Lone Star Park"	0.0863016
Churchill	0.0837663
Meadowlands	0.0790093
"Turner Field"	0.0788189
Pocono	0.0783833
"Shea Stadium"	0.0751504
"Sears Point"	0.0741624
"Texas Motor Speedway"	0.0737798
"County Stadium"	0.07179
"Yankee Stadium"	0.0706024
"Fair Grounds"	0.0691623
"Nassau Coliseum"	0.0682399
"Dodger Stadium"	0.0679086
"Old Trafford"	0.0673171
Irwindale	0.0666337
"Las Vegas Motor Speedway"	0.0663866
Daytona	0.0633313
"Compaq Center"	0.0625191
Wembley	0.0619308
"Pro Player Stadium"	0.0619303
"Oak Tree"	0.0618662
"California Speedway"	0.0617927
"Roland Garros"	0.0615421
one-mile	0.0612256
Indy	0.0608706
"Giants Stadium"	0.0608298
"Pebble Beach"	0.0606406
"Logan International Airport"	0.0606092
"Qualcomm Stadium"	0.0605602
"Metropolitan Opera House"	0.060088
"Indianapolis Motor Speedway"	0.0599263
"Continental Airlines Arena"	0.0595652
NHIS	0.0593536
"Olympic Stadium"	0.0593087
"Conseco Fieldhouse"	0.05874
"East Asian Games"	0.0584728
"New York State Theater"	0.0583901
"Monmouth Park"	0.0581444
"Wrigley Field"	0.0581388
"Busch Stadium"	0.0581003
"Fenway Park"	0.0578893
"Oaklawn Park"	0.0574981
"Jacobs Field"	0.0572163
"Coors Field"	0.0571094
"Brooklyn Academy of Music"	0.0570641
"Georgia Dome"	0.0567951
Martinsville	0.056527
"Edison Field"	0.0564352
"Atlanta Motor Speedway"	0.0559546
"Foxboro Stadium"	0.0556594
"Villa Park"	0.0556351
Highbury	0.0554994
"Park City"	0.0550845
"Continental Arena"	0.054418
"Rivers Stadium"	0.0541381
"Tropicana Field"	0.0537783
"John F. Kennedy International Airport"	0.0537302
"Rose Bowl"	0.0535884
"Augusta National"	0.0535521
Astrodome	0.0531997
TM	0.052951
two-mile	0.0528954
"Plaza Hotel"	0.0527602
"Delta Center"	0.0524691
"Stamford Bridge"	0.0523638
"America West Arena"	0.0522092
"New Hampshire International Speedway"	0.0519294
Suffolk	0.0513585
"Manhattan Theater Club"	0.0507897
"Olympic Trials"	0.0501687
Brickyard	0.0499738
"British Grand Prix"	0.0498578
Dodgertown	0.0498345
Anita	0.0495401
"Cinergy Field"	0.0488539
"Newark International Airport"	0.0487361
"Camden Yards"	0.0486297
"Madison Square Garden"	0.0484732
"Carnegie Hall"	0.0483564
"Joyce Theater"	0.0478181
"United Center"	0.0475734
"Comiskey Park"	0.0475712
Monza	0.0473721
"Daytona International Speedway"	0.0471691
"Pacific Bell Park"	0.0470216
FleetCenter	0.0469555
"Royal Birkdale"	0.0469182
"Safeco Field"	0.0464909
"Devil Stadium"	0.0463506
"Reunion Arena"	0.046212
"New York Film Festival"	0.0461047
"Tiger Stadium"	0.0460462
Fenway	0.0457336
"Pennsylvania Station"	0.0455455
"Jewish Museum"	0.0454237
"Goodwill Games"	0.0454189
speedway	0.0452678
SkyDome	0.0452511
"Lambeau Field"	0.0451562
"World University Games"	0.0451396
"Fort Campbell"	0.0451173
Augusta	0.0449602
"RCA Dome"	0.0449584
"MCI Center"	0.0448983
"Olympic Winter Games"	0.0446252
"Belmont Stakes"	0.0445737
Rockingham	0.0445328
"Nagano Winter Olympics"	0.0443918
Pinehurst	0.0442526
"National Tennis Center"	0.0439302
"U.S. Open"	0.0438123
Shea	0.0437419
racetrack	0.0437159
Kingdome	0.0436387
Darlington	0.0436164
Richmond	0.0436117
"London Marathon"	0.0434726
"Trans World Dome"	0.0433938
"Arrowhead Stadium"	0.0428139
"Ben-Gurion Airport"	0.0427583
Macworld	0.042646
"Indian Wells"	0.0426142
"Wood Memorial"	0.0425791
"Stade Velodrome"	0.0425355
"Kennedy Airport"	0.0424655
"Staples Center"	0.0422373
Sahalee	0.0421319
"gambling casino"	0.0420506
Silverstone	0.0420314
"Pinehurst No. @"	0.0419899
Dover	0.0419702
Medinah	0.0419655
"sports arena"	0.0419498
infirmary	0.0417768
"Kyle Field"	0.0417301
"Melbourne Cricket Ground"	0.0417129
fairground	0.0417107
"Pauley Pavilion"	0.0415914
Talladega	0.0414431
"Veterans Stadium"	0.0411299
"Melbourne Park"	0.041104
"RFK Stadium"	0.0410999
"St. Andrews"	0.0408854
"Arkansas Derby"	0.0406873
"Hong Kong International Airport"	0.0406538
"Wye Plantation"	0.0406114
"Atlantic City"	0.0404106
campsite	0.0403568
"Kennedy Space Center"	0.0401549
))
("Belmont Stakes" (desc 10326.6) (sims
Belmont	0.289848
Preakness	0.25198
"Kentucky Derby"	0.238087
"Santa Anita Derby"	0.223392
"Dubai World Cup"	0.206251
Travers	0.196712
"Pacific Classic"	0.177476
"Preakness Stakes"	0.176718
Derby	0.166549
"Florida Derby"	0.158307
"Santa Anita Handicap"	0.146093
"Gold Cup"	0.144385
"triple crown"	0.138209
"Cup Juvenile"	0.137263
"Cup Classic"	0.136856
"Kentucky Oaks"	0.13022
"Jim Dandy"	0.120992
"Boston Marathon"	0.120054
"Arkansas Derby"	0.115901
"Blue Grass"	0.11585
"Jockey Club Gold Cup"	0.115627
Haskell	0.115359
"Daytona @@@"	0.115109
"Brickyard @@@"	0.112091
"London Marathon"	0.111413
"New York City Marathon"	0.110923
distaff	0.110618
"Hollywood Gold Cup"	0.10718
"Pepsi @@@"	0.097569
Oaks	0.0937967
"Wood Memorial"	0.0937121
"Juvenile Fillies"	0.0885521
"Indy @@@"	0.0879452
"Real Quiet"	0.0793563
"Nissan Open"	0.0781118
slalom	0.0773917
marathon	0.0771685
"Louisiana Derby"	0.0746101
"British Open"	0.072757
"Tour de France"	0.0726989
"PGA Championship"	0.0725739
"Donn Handicap"	0.0723522
downhill	0.0709488
"World Environment Day"	0.0708852
"US Open"	0.0704036
"European Cup"	0.0697539
stakes	0.0694085
"claiming race"	0.0691449
"Victory Gallop"	0.0689858
Super-G	0.0688315
"Thunder Gulch"	0.067452
"U.S. Open"	0.0672131
Giro	0.0669538
"Buick Classic"	0.0667928
Woodward	0.0666304
"San Rafael"	0.0664411
"French Open"	0.0659366
Futurity	0.0651737
Masters	0.0650512
tourney	0.063609
"British Grand Prix"	0.0632458
backstroke	0.0631133
"French Grand Prix"	0.0621944
steeplechase	0.061885
"black-eyed Susan"	0.0613366
"Tour Championship"	0.0601773
"World University Games"	0.059465
"Grand Prix"	0.0592148
freestyle	0.0588776
"LPGA Championship"	0.0585688
"Australian Open"	0.0585578
"Canadian Open"	0.0580623
"Touch Gold"	0.0580062
"Stockholm Open"	0.057655
"Winston Cup"	0.0575244
prologue	0.0572447
"European Champions Cup"	0.0568287
"Asian Cup"	0.0565341
"West Regional"	0.0562118
"governor's race"	0.0561814
"Tony Award"	0.0559104
decathlon	0.0555996
"Lemon Drop Kid"	0.0554227
"Buick Invitational"	0.0550221
breaststroke	0.0547013
"College World Series"	0.0546942
"general election"	0.0546408
"playoff game"	0.0545665
"Tony Awards"	0.0543643
"Chase Championships"	0.0539292
Heisman	0.0538864
"Division Series"	0.0537257
"Fiesta Bowl"	0.0537013
by-election	0.0536365
runoff	0.0533832
Iditarod	0.0530112
"U.S. Senior Open"	0.0529866
"Le Mans"	0.0521607
breeder	0.0518371
opener	0.0516572
men's	0.0516195
"European Championship"	0.0515221
filly	0.0514094
"long jump"	0.0512234
"Grand National"	0.0511169
"Players Championship"	0.0510239
Holyfield-Lewis	0.0508666
"cup final"	0.0507905
"Euro @@@@"	0.0506316
homestretch	0.0504572
"Ryder Cup"	0.0500926
"National Book Award"	0.0500603
NLCS	0.0496917
balloting	0.0495174
"Japan Open"	0.0493749
"Solheim Cup"	0.0491179
"NL West"	0.04903
"Asian Games"	0.0488308
ALCS	0.0488158
"Academy Awards"	0.0485716
doubles	0.0483407
"United States Open"	0.0483109
"Champions Cup"	0.0482988
"Cy Young Award"	0.0482968
"AFC East"	0.0481516
"Italian Open"	0.0480041
"Davis Cup"	0.0479843
"Silver Charm"	0.047968
"Central Division"	0.0478924
showdown	0.0475795
"senate race"	0.0474662
runnings	0.047415
"European Championships"	0.0469665
Maurier	0.0469473
nightcap	0.0467508
superspeedway	0.0467212
"Pan American Games"	0.0466626
"Hong Kong Open"	0.0466134
"Phoenix Open"	0.0465031
PGA	0.0464758
"NBA Finals"	0.0461766
NFC	0.0460735
finale	0.0459691
"Commonwealth Games"	0.0459319
medley	0.0456904
"Goodwill Games"	0.0456575
"Orange Bowl"	0.0454905
"World Series"	0.045433
"Free House"	0.0452961
"Peter Pan"	0.0452574
"NBA Draft"	0.045206
jackpot	0.0450416
regatta	0.0450163
"Italian Cup"	0.0449752
"San Felipe"	0.0448787
"Kickoff Classic"	0.0448344
"Subway Series"	0.0447718
"East Regional"	0.0446998
"UEFA Cup"	0.0446617
"Western Open"	0.0445898
"Belmont Park"	0.0445737
Busch	0.0445503
"Home Run Derby"	0.0445284
"MLS Cup"	0.0445017
"Cat Thief"	0.0444328
Saratoga	0.0442363
"World Athletics Championships"	0.044202
Behrens	0.0441987
"SEA Games"	0.0438852
"batting order"	0.0438403
"big game"	0.0437938
Kitzbuehel	0.0437799
"Thomas Cup"	0.0436957
"Pacific Division"	0.0436759
season-opener	0.0435593
"NL East"	0.0435234
"NCAA Tournament"	0.0434099
Brickyard	0.0432316
lottery	0.0431825
"Pan Am Games"	0.0431728
scrimmage	0.0431141
mid-night	0.0431057
caucus	0.0429901
paddock	0.0428762
"Golden League"	0.0428638
"African Nations Cup"	0.0424653
Valhol	0.0421186
faceoffs	0.0419696
"Maurier Open"	0.0418705
"South Regional"	0.0418271
"Atlanta Games"	0.0416341
"spelling bee"	0.0413589
"primary election"	0.0412593
"regulation time"	0.0412223
"Rose Bowl"	0.0411688
"Texas Motor Speedway"	0.0411409
Indy	0.0410825
"Atlanta Olympics"	0.041055
stablemate	0.0408502
doubleheader	0.040562
))
(Belo (desc 1745.37) (sims
Rifkind	0.146573
Soyinka	0.144243
Scripps	0.141508
Sumaye	0.139891
GANNETT	0.132574
"Times Mirror"	0.12705
AMR	0.123681
"Jose Ramos-Horta"	0.1235
TYCO	0.12236
Federated	0.119557
"Thermo Electron"	0.118734
"Knight Ridder"	0.118622
Kyprianou	0.118409
Velayati	0.118336
Siazon	0.117197
Healtheon/WebMD	0.116873
Litton	0.11573
"Times Co."	0.114688
Moratinos	0.114012
"de Charette"	0.113394
Juma	0.112534
Vollebaek	0.110894
Kasoulides	0.110493
Wolfensohn	0.109159
al-Sahaf	0.107847
Sepracor	0.107409
Ruehe	0.10722
Alatas	0.10686
Scharping	0.10627
IDT	0.105937
Seagate	0.105027
"Lee Hsien Loong"	0.103772
Fernandes	0.103373
Pitney	0.103137
"Tribune Co."	0.102956
Intergraph	0.100434
UTC	0.100229
Malu	0.100118
Akayev	0.0995732
"Stride Rite"	0.0994686
Viacom	0.099034
Nasrallah	0.0983066
Aventajado	0.0981786
WPP	0.0981321
Flanagan	0.0981172
Klima	0.0980257
Rothenberg	0.0977128
"Gannett Co."	0.0973488
SmithKline	0.0970853
McKesson	0.0969194
Jovanovic	0.0968849
Komura	0.0967641
Advani	0.096122
Eizenstat	0.0956914
Hasbro	0.0954765
Garang	0.0952403
VENATOR	0.0950971
Bambang	0.0949246
Starwood	0.0941881
Jayakumar	0.0940059
Wenger	0.093569
CMGI	0.0934908
Sassa	0.0934793
Markey	0.0931615
Brundtland	0.0931377
Diouf	0.0929138
Stoyanov	0.0928979
Caldera	0.0928506
Seleznyov	0.0926441
Severino	0.0925685
Hiddink	0.0922908
"Orlando Mercado"	0.0915445
Azizah	0.0915342
"Berkshire Hathaway"	0.0915209
Harmoko	0.0914036
Aegon	0.0913532
NORTHROP	0.0908739
"Bill Skate"	0.0908199
tribune	0.0908189
Singson	0.0905307
Karimov	0.0903363
Grasso	0.0902677
Shevardnadze	0.0901684
NiSource	0.0901517
Prueher	0.0898686
Sunbeam	0.0894473
Naumann	0.0894458
Pepsico	0.0891465
Scientific-Atlanta	0.088673
SFX	0.0884416
Berri	0.0883032
Guterres	0.0879936
Paxson	0.0879775
Aetna	0.0879729
Kharrazi	0.087856
Abdel-Meguid	0.0875378
CCE	0.0874282
Harmon	0.0873031
RJR	0.0871873
Guei	0.0871739
Ogata	0.0870806
Tsvangirai	0.0870785
Insulza	0.0867344
Alarcon	0.0865635
Tenneco	0.0865096
Bizimungu	0.0864428
"Frederick Sumaye"	0.0863395
McMullen	0.0861688
"Paavo Lipponen"	0.0861266
Rais	0.0860937
Blatter	0.0859671
"John Bruton"	0.0858763
Daimler	0.0857826
Surin	0.0857512
Ganzouri	0.085539
AlliedSignal	0.0853018
Echostar	0.0852405
Providian	0.0852055
Chissano	0.0851683
Piot	0.0849039
Chavalit	0.084828
Lipponen	0.0848088
Cablevision	0.0846553
Markovic	0.0840694
MiniMed	0.0840506
Husseini	0.0840151
Marulanda	0.0840119
Troussier	0.083893
Tandy	0.0838433
Pangalos	0.0835781
Reinhardt	0.0835571
Waigel	0.0834737
"Hearst Corp."	0.0834047
Cendant	0.0832698
Zhirinovsky	0.0832446
Ruggiero	0.0830576
Indyk	0.0829737
Berkshire	0.0824141
Ikimi	0.0822208
Lockheed	0.0821174
"First Union"	0.0819899
Meles	0.0819749
Fuente	0.0819369
ICI	0.0817847
AHP	0.0817839
Holl	0.0817464
ARCO	0.0817013
Clorox	0.0816534
Xiang	0.0814649
Deutsche	0.0814375
Lundberg	0.0813592
Kodak	0.0813554
Ciena	0.0812218
"Bashkim Fino"	0.0812074
Ikeda	0.0811953
Demaci	0.0811938
Rodionov	0.0811512
Ito	0.0810633
Niyazov	0.0810435
Glickman	0.0809903
Rossotti	0.0809708
Azad	0.0809037
Mattel	0.0808491
Enron	0.0807057
SBC	0.0805682
Granik	0.0804869
E-LOAN	0.0804027
AIG	0.0802822
ADM	0.0802556
Zou	0.0802378
Zambrano	0.0800599
UAL	0.0799322
Sinclair	0.0798301
D'Alessandro	0.0797171
Barshefsky	0.0797126
Kan	0.0795415
Mercado	0.079358
Hamid	0.0793138
Nazarbayev	0.0792689
Scalfaro	0.0790873
Seagram	0.0790104
Bertelsmann	0.0789932
Sergeyev	0.078943
Cornyn	0.0789016
Goh	0.0788792
Hodler	0.0788179
Dini	0.0787142
Wilhelm	0.0786191
Mikhailov	0.0785842
Schrempp	0.0785775
Sutiyoso	0.0785674
"Coca-Cola Co."	0.0785667
Kwasniewski	0.078536
Saleh	0.0785092
Baugh	0.0784194
Tarrin	0.0782264
"Cox Communications"	0.0782072
"Boston Scientific"	0.0782011
Norwest	0.0780953
Nzo	0.0780895
))
(belonging (desc 22665.2) (sims
luggage	0.144092
suitcase	0.111367
valuable	0.0952609
loot	0.0948212
cloth	0.0945343
furniture	0.0920018
artifact	0.091608
possession	0.0901957
debris	0.0897461
item	0.0879149
jewelry	0.0855335
memento	0.0844649
bag	0.0841898
baggage	0.0839774
"personal property"	0.0835432
"body part"	0.0789688
Clothing	0.0782653
object	0.0773884
utensil	0.0773575
goods	0.0756545
memorabilia	0.0751474
equipment	0.0744379
mattress	0.0743577
passport	0.0741782
Garbage	0.0741621
briefcase	0.0737883
treasure	0.0736157
remains	0.0733579
ammunition	0.0730852
wallet	0.0723257
trash	0.0720848
gear	0.0718276
explosive	0.0716399
wreckage	0.0715991
furnishings	0.0708906
bedding	0.0693164
cash	0.0686231
backpack	0.0682116
toy	0.068004
keepsake	0.0677052
food	0.0672457
merchandise	0.0668256
"heavy weapon"	0.0666228
property	0.0657332
"identity card"	0.0652766
paraphernalia	0.0652174
contraband	0.0641178
blanket	0.0639513
box	0.0638176
artwork	0.0631821
weapon	0.0630102
material	0.0628942
corpse	0.0625533
carcass	0.0620752
stuff	0.062008
antique	0.0617538
foodstuff	0.0616637
appliance	0.061587
Firewood	0.0611971
sandbag	0.0604693
"dead body"	0.0603974
knickknack	0.0599127
asset	0.0598838
souvenir	0.0596331
fragment	0.0594587
hundred	0.0594417
tent	0.0583125
manuscript	0.0574042
cargo	0.0571032
munition	0.0570922
corps	0.0570489
firearm	0.0570461
junk	0.0569556
housewares	0.0567747
grocery	0.056445
gun	0.0564302
"chemical agent"	0.0563219
Coin	0.0562858
rubbish	0.0562441
nutrient	0.0560676
cot	0.0560289
tool	0.0557597
shoe	0.055709
towel	0.0556339
photograph	0.0555812
bottle	0.0554963
"cigarette butt"	0.0552015
goody	0.0550113
collectibles	0.0548418
cocaine	0.054763
"work of art"	0.0545198
relic	0.0544846
Livestock	0.0544491
trinket	0.0543431
bone	0.0542366
identity	0.0542102
self-worth	0.0538636
container	0.0538485
dignity	0.0537319
"art collection"	0.0535684
pillow	0.0535108
thousand	0.0534688
relative	0.0531222
toiletry	0.0525828
carpet	0.0525393
wealth	0.0525018
camera	0.0523968
"shopping bag"	0.0523789
purse	0.0523527
"wedding ring"	0.0523074
"computer equipment"	0.0523031
tape	0.0522408
accessory	0.0519556
pet	0.0518593
gift	0.0517952
gadget	0.0516818
casing	0.0516627
memory	0.0515053
"duffel bag"	0.0514969
"sleeping bag"	0.0510984
"canned goods"	0.0509143
lumber	0.0506763
heirloom	0.0506074
remnant	0.0504203
"sum of money"	0.0503688
"water bottle"	0.0502823
trophy	0.0501647
glassware	0.0501184
correspondence	0.0500613
livelihood	0.0500402
rifle	0.0500307
skeleton	0.0499252
"household appliance"	0.0498187
ash	0.0496851
Mail	0.0495382
quilt	0.0495238
chunk	0.0494275
syringe	0.0493151
booty	0.0492372
"historical document"	0.0492074
painting	0.0488185
Privacy	0.0486394
vegetable	0.0485606
"life jacket"	0.0485514
truck	0.0483977
trailer	0.0482454
"laptop computer"	0.0481594
"birth certificate"	0.0476228
passenger	0.0475334
"computer file"	0.0475246
"loved one"	0.0474347
rubble	0.0474066
pocketbook	0.047405
flower	0.0470292
"family member"	0.0469014
log	0.0468702
scraps	0.0468694
rug	0.0468647
amenity	0.0468601
tractor	0.0466845
handbag	0.0466816
pistol	0.0466775
Grave	0.0466209
"explosive device"	0.0465815
knife	0.0464158
underwear	0.0463226
Casket	0.0463219
"credit card"	0.0461849
handgun	0.0461413
saving	0.0460087
jewel	0.0459985
candle	0.0459626
prop	0.0458962
laundry	0.0458829
card	0.045806
ornament	0.0456608
wagon	0.0455387
"mobile home"	0.0454958
diaper	0.0454156
"tv set"	0.0454023
"medical record"	0.0451887
survivor	0.0451676
boat	0.0451571
fingerprint	0.0451318
"life raft"	0.0450703
materiel	0.0449644
specimen	0.0448679
parcel	0.0448363
silverware	0.0448229
"electronic equipment"	0.0448078
cache	0.0448045
"building material"	0.0447678
revolver	0.0447538
vial	0.044723
riches	0.0446613
estate	0.0445995
comfort	0.0445849
doll	0.0445163
stove	0.0445112
"loose end"	0.0444693
))
(beloved (desc 15458.7) (sims
"Eyes Wide Shut"	0.0852287
Lolita	0.0747809
"Saving Private Ryan"	0.0725188
well-received	0.0713083
well-respected	0.0699
"Thin Red Line"	0.0691416
"American Psycho"	0.0665141
"Fight Club"	0.0639829
"Erin Brockovich"	0.0635775
"Great Expectations"	0.0620824
"Nurse Betty"	0.0619856
"Civil Action"	0.0618599
"Cider House Rules"	0.0616676
"Great Gatsby"	0.0609958
"Smoke Signals"	0.0578849
novel	0.0572557
"best seller"	0.057193
"Don Quixote"	0.0566124
Antz	0.056499
"American Beauty"	0.0560775
psycho	0.0560218
"Cruel Intentions"	0.0548776
"wonder boy"	0.0546696
Armageddon	0.0545333
Amadeus	0.0542978
Bulworth	0.0533533
Mulan	0.0531235
"Runaway Bride"	0.0528434
"Truman Show"	0.0525208
"Forrest Gump"	0.051241
"Central Station"	0.051166
"love story"	0.0508744
"American Pie"	0.0507624
"high fidelity"	0.0503332
"Animal House"	0.0499269
Gladiator	0.0499256
musical	0.0496789
memoir	0.0492438
"Iron Giant"	0.049128
thriller	0.0490362
adaptation	0.0486609
EdTV	0.0483851
"Primary Colors"	0.0482633
"best man"	0.04787
"Stuart Little"	0.047803
Frankenstein	0.0477425
"Star Wars"	0.0476875
sequel	0.0474705
epic	0.0470315
"Life Is Beautiful"	0.046697
"guardian angel"	0.0466615
"True Thing"	0.0463778
"Little Voice"	0.0463058
"Citizen Kane"	0.0461258
ROUNDERS	0.0456497
masterpiece	0.0454368
"Boogie Nights"	0.0449387
"Side Man"	0.0448593
documentary	0.0448076
"Phantom Menace"	0.0446463
Ulysses	0.0442414
"Blair Witch Project"	0.0439588
"short story"	0.0438844
bestseller	0.0438539
"feature film"	0.0437927
"Jerry Maguire"	0.0436527
Pleasantville	0.0435537
anna	0.0432046
affliction	0.0431767
"Green Mile"	0.0430849
"persona non grata"	0.0428964
autobiography	0.0428889
Titanic	0.0426539
godfather	0.0425176
biography	0.0422781
"Patch Adams"	0.0422352
fiction	0.0421991
insider	0.0421866
heroine	0.0421488
Rushmore	0.0421356
Hoosier	0.0421196
"Ideal Husband"	0.0418985
"Perfect Storm"	0.0417152
"Peony Pavilion"	0.0416694
Tarzan	0.0416442
Dracula	0.0415653
Catch-@@	0.0414617
"Toy Story"	0.0414563
Fantasia	0.0413845
Shakespeare	0.041367
"Night Fever"	0.0413202
"chicken run"	0.0410465
Pinocchio	0.0409554
Godzilla	0.040566
"Wild Wild West"	0.0405238
stepmom	0.040245
))
(belt (desc 62594.1) (sims
jacket	0.110462
shirt	0.099705
pant	0.0984146
skirt	0.096273
handbag	0.0960416
vest	0.0956756
scarf	0.0955541
strap	0.0940711
hat	0.0938784
shoe	0.0934573
sandal	0.0928821
trouser	0.0910605
rope	0.0904819
collar	0.0888171
"seat belt"	0.088808
coat	0.0886544
sweater	0.0886108
boot	0.0856319
helmet	0.0853525
bag	0.0846166
backpack	0.083848
necklace	0.0837234
sock	0.0830568
jean	0.0811424
sunglasses	0.0811041
bracelet	0.0805592
cord	0.080089
glove	0.0790642
earring	0.0764719
dress	0.0761396
T-shirt	0.0748558
turtleneck	0.0748036
loafer	0.0737206
sleeve	0.0729038
harness	0.0727998
"cowboy boot"	0.0725237
sneaker	0.0723812
purse	0.0721207
suspender	0.0719199
suit	0.0718259
cloth	0.0709652
"leather jacket"	0.0709045
sweatshirt	0.070307
holster	0.0699476
necktie	0.0689747
Clothing	0.068247
"cowboy hat"	0.0680821
bra	0.0679075
raincoat	0.0678189
hose	0.0674752
pocket	0.0665418
"baseball cap"	0.0662176
crown	0.0655833
briefcase	0.0655548
cap	0.0655139
headband	0.0654954
overcoat	0.0653648
underwear	0.0652206
apron	0.0651873
chain	0.0648346
forest	0.0644836
parka	0.0642667
"blue jean"	0.064166
slipper	0.0641215
blanket	0.0638997
jewelry	0.0637265
"bow tie"	0.0634485
wallet	0.0630585
"tennis shoe"	0.06293
waist	0.062917
jersey	0.0617779
suitcase	0.0615124
"running shoe"	0.0614073
robe	0.0613551
windbreaker	0.0612709
mask	0.061243
shawl	0.0607568
zone	0.0606372
wire	0.0605751
blouse	0.0604853
tunic	0.0602576
gear	0.0600284
uniform	0.059716
ribbon	0.0593196
hair	0.0593152
leather	0.0593029
pipe	0.0591758
goggles	0.0591506
"straw hat"	0.05891
ring	0.0588797
tights	0.05846
cuff	0.0583467
box	0.0575881
pad	0.0575028
wig	0.0573157
"polo shirt"	0.0571407
Zipper	0.0567246
pouch	0.0557512
Cape	0.0557432
slack	0.0556937
Poncho	0.055279
button	0.0545716
jumpsuit	0.0545312
accessory	0.0544787
frame	0.0544
pullover	0.054189
corridor	0.0537749
beret	0.0535902
pin	0.0535507
trunk	0.0533146
seat	0.0530884
arm	0.0530459
fabric	0.0530122
cable	0.0528952
region	0.0527783
bikini	0.0526677
"fur coat"	0.0525629
pants	0.0525202
tree	0.0524972
strip	0.0524239
Hood	0.0516818
title	0.0516806
tube	0.051624
device	0.0514499
cardigan	0.0512948
pump	0.0512568
blazer	0.0512359
garment	0.0511731
"air bag"	0.0509756
khaki	0.0508335
gun	0.0508135
farmland	0.0507438
shield	0.0506357
gown	0.0505797
rifle	0.0505698
levee	0.0503857
pole	0.0503711
bead	0.0501298
glass	0.0499788
brick	0.0499639
beam	0.0498304
patch	0.0496164
valley	0.0494684
wheel	0.049345
stocking	0.0488481
towel	0.0488361
"industrial park"	0.0486831
tank	0.0485722
Outfit	0.0485187
Sash	0.0484491
string	0.0484248
lapel	0.0483664
visor	0.0483287
fence	0.0482521
plastic	0.0482209
trousers	0.0481913
mountain	0.0481355
chair	0.0480939
tire	0.0480726
grassland	0.0480661
rod	0.0479924
desert	0.0479919
equipment	0.0478469
knife	0.0477031
wall	0.0474641
umbrella	0.0472974
"trench coat"	0.0472603
nylon	0.0471874
badge	0.0471096
plain	0.0470653
park	0.0469908
leash	0.0469859
farm	0.0469588
"bathing suit"	0.0468051
luggage	0.046588
stripe	0.0465214
toy	0.0464866
antenna	0.0464324
sword	0.046324
sapling	0.0461964
sensor	0.0461765
rack	0.0461074
pocketbook	0.0460945
pajama	0.0460907
kit	0.0460553
handkerchief	0.0457071
weapon	0.0455952
camera	0.0455731
roof	0.0455525
heel	0.0455056
chest	0.045275
makeup	0.045073
sheath	0.0450312
vegetation	0.0449664
pillow	0.0449644
doll	0.0449464
dyke	0.04484
bicycle	0.0447951
thread	0.0447554
skin	0.0446727
))
("belt buckle" (desc 2998.98) (sims
bandanna	0.162706
"cowboy hat"	0.14831
bluejeans	0.146086
"leather jacket"	0.141414
STETSON	0.136598
windbreaker	0.128347
undershirt	0.126244
coverall	0.120846
sweatshirt	0.116995
suspender	0.114629
"baseball cap"	0.105125
"blue jean"	0.102854
"cowboy boot"	0.102272
sunglasses	0.101554
parka	0.101334
"sports jacket"	0.0993261
overcoat	0.0936707
sneaker	0.0924382
"sport shirt"	0.0910444
"ski mask"	0.0904748
loafer	0.089816
beret	0.0892068
turtleneck	0.0888711
knickers	0.0879252
pullover	0.0870229
corduroy	0.0848437
Afro	0.0818781
bandana	0.0818493
jumpsuit	0.0815315
earring	0.0808043
"polo shirt"	0.0798645
vest	0.0782725
"golf bag"	0.0776118
duster	0.0775024
jean	0.0772741
Poncho	0.0771591
"mink coat"	0.0764059
"bow tie"	0.0736689
chap	0.073017
raincoat	0.0729487
"dress shirt"	0.0727942
"combat boot"	0.0727399
necktie	0.0727022
sandal	0.0722947
"tennis shoe"	0.071788
smock	0.071787
Thermos	0.0715899
"life vest"	0.0704715
denim	0.0701053
khaki	0.0699359
"wedding ring"	0.0689326
trouser	0.0687918
"straw hat"	0.0684864
"sweat pants"	0.0672011
"baseball glove"	0.0669729
fedora	0.0666091
sweater	0.0665414
bracelet	0.0663998
caftan	0.0652655
"felt hat"	0.0652653
Chino	0.0650325
armband	0.0649369
"rubber boot"	0.0648615
brassiere	0.0648548
skullcap	0.0646906
"black tie"	0.0645397
prosthesis	0.0639574
"military uniform"	0.0634905
chalice	0.0633846
mitten	0.0629877
"running shoe"	0.0623873
"prayer shawl"	0.0622086
blinker	0.0619027
blinder	0.0618228
sportswear	0.0616775
cutoffs	0.0614533
headband	0.060668
goggles	0.0605449
Cleaver	0.0603837
tassel	0.0601938
"hot pants"	0.0601141
teapot	0.0599349
brooch	0.0597326
scarf	0.0590204
ascot	0.0586911
pendant	0.0584604
"bulletproof vest"	0.0581748
underwear	0.0581212
yarmulke	0.0578837
docker	0.0567722
tunic	0.05672
blazer	0.0564914
waistcoat	0.0563436
apron	0.0559531
necklace	0.0556575
slicker	0.0555229
tights	0.0553753
miniskirt	0.055309
halter	0.0550719
Goblet	0.054766
braid	0.0544699
swoosh	0.054148
legging	0.054052
hairpin	0.0539069
"business suit"	0.053761
mug	0.0537115
Bonnet	0.0536773
wristwatch	0.0534918
medallion	0.0531747
vestment	0.0530483
wristband	0.0529913
"fur coat"	0.0529713
"hard hat"	0.0527736
"coffee mug"	0.0525875
"dollar sign"	0.0522913
hatchet	0.0522298
holster	0.0522284
toupee	0.0519601
sickle	0.0509288
spacesuit	0.0506745
tuxedo	0.0503093
mustache	0.0502773
enactors	0.0501237
"pocket watch"	0.0500199
"Star of David"	0.0499744
handkerchief	0.0497081
"boxing glove"	0.0496515
"trench coat"	0.0495709
bib	0.0495408
hand-me-down	0.0495375
robe	0.0493858
"Ford Expedition"	0.0490724
loincloth	0.0489278
bolero	0.0484346
cardigan	0.0484329
amulet	0.0483629
kilt	0.0483136
"hunting knife"	0.0481687
"dark glasses"	0.0479929
headgear	0.0479877
drawl	0.0479827
moonscape	0.0475597
"body armor"	0.0475541
bellbottoms	0.0474207
wader	0.0474107
"evening dress"	0.0468375
"engagement ring"	0.0466849
flannel	0.0466043
barrette	0.0464108
turban	0.0464081
fatigues	0.0463752
"evening bag"	0.0463612
miniskirts	0.046309
"name tag"	0.0462135
bauble	0.0461736
pompadour	0.0461241
kimono	0.0458148
"bathing suit"	0.0456512
velcro	0.045518
Rolex	0.0453026
hubcap	0.0450045
handbag	0.0449257
regalia	0.0448429
livery	0.0445259
ponytail	0.0445069
"pants suit"	0.0444009
underpants	0.0443268
sarong	0.0442312
blouse	0.044156
bodysuit	0.0441112
"telephone book"	0.0438652
"wedding dress"	0.0436226
"rubber band"	0.0435695
"baseball bat"	0.0435565
midriff	0.0434685
bra	0.0434602
"shoulder pad"	0.0434568
jewellery	0.0434032
headdress	0.0433144
pillowcase	0.0431959
smirk	0.0431306
beepers	0.0431217
"paring knife"	0.0429675
tarpon	0.0427027
garb	0.0426664
shawl	0.0425258
headlamp	0.0424857
"Texas longhorn"	0.0423583
sunscreen	0.0422897
Cape	0.0418623
"picture frame"	0.0418064
earphone	0.0416889
swastika	0.0416269
"nest egg"	0.041623
dagger	0.0415996
"stiletto heel"	0.0414721
"radio telescope"	0.0413816
wrangler	0.0413659
"top hat"	0.0413585
turquoise	0.0413407
))
(belt-tightening (desc 2135.29) (sims
"budget cut"	0.124949
shakeout	0.11615
"cost cutting"	0.112304
megamergers	0.102789
cutback	0.102165
downsizing	0.0994379
realignments	0.099078
austerity	0.0984935
"spending cut"	0.0975449
divestitures	0.0970163
consolidation	0.0963378
"policy change"	0.0962754
"plant closing"	0.0913581
Tightening	0.0889828
"management change"	0.0886589
stagnation	0.087875
"cash crunch"	0.085607
"tax increase"	0.0846207
"proxy fight"	0.0817501
retrenchment	0.0804238
closings	0.0802569
mega-mergers	0.0784294
"job cut"	0.0781962
"tax hike"	0.0776937
reorganization	0.0773255
Intensification	0.0757122
layoff	0.0740324
deregulation	0.073824
slippage	0.0737951
"asset sale"	0.0734312
volunteerism	0.0727237
Indiscipline	0.0724923
"tax change"	0.0724128
"safety measure"	0.0721651
"moral hazard"	0.0706449
loosening	0.0705524
"accounting problem"	0.0703713
upheaval	0.0697165
shoring	0.0689352
shakeup	0.0688247
"liquidity problem"	0.067966
sedation	0.0678717
streamlining	0.0678651
"deficit spending"	0.0678157
sluggishness	0.0671136
realignment	0.066878
"price cutting"	0.0667377
reassessment	0.0658232
restructurings	0.0656661
paralysis	0.0656607
dislocation	0.0655389
reshuffling	0.065518
"price war"	0.0652852
"detective work"	0.0651897
"price pressure"	0.0642234
crunch	0.0637023
downturn	0.0634153
Liberalization	0.063151
contraction	0.0627152
bullishness	0.0627057
backsliding	0.062102
"breathing space"	0.0620723
shake-up	0.0618912
"memory loss"	0.0618659
stimulus	0.0618592
"rate increase"	0.0605904
"wear and tear"	0.060493
moderation	0.0603035
instability	0.0600781
soul-searching	0.0595047
Openness	0.0594925
diversification	0.0585079
constraint	0.0582865
"kerosene lamp"	0.0578474
depreciation	0.0578219
readjustment	0.0577772
stayaway	0.0577399
"change of direction"	0.0576522
"earnings disappointment"	0.057592
transparency	0.057214
"market correction"	0.0571689
brinkmanship	0.0571041
sell-offs	0.0565599
privatizations	0.0565291
hyperinflation	0.0563755
cushioning	0.0561939
"price cut"	0.0560643
Convergence	0.0558635
prudence	0.0557288
imbalance	0.0556446
upsurge	0.0556221
"bond offering"	0.0554205
"legal action"	0.0552251
spacewalks	0.0550221
turbulence	0.0549572
fragmentation	0.0547937
polarization	0.0546034
corroboration	0.0544332
revitalization	0.0544034
famine	0.0543387
"tax avoidance"	0.0543268
democratization	0.0541528
spraying	0.0540868
"sleight of hand"	0.0540769
"tax policy"	0.0539355
uniformity	0.053893
"foul play"	0.0536226
"rate cut"	0.0535688
erosion	0.0534678
malfeasance	0.0534524
"borrowing cost"	0.0533713
"rate hike"	0.0533375
insecurity	0.0532179
shortsightedness	0.0531728
arm-twisting	0.0530877
upturn	0.0529326
"medical exam"	0.0527661
bipartisanship	0.0526539
"production problem"	0.0526136
"price increase"	0.0526063
"urban sprawl"	0.0525321
outages	0.0525063
acceleration	0.0523394
lawmaking	0.0523184
"capital gains tax"	0.0522643
industrialization	0.0521716
deflation	0.0520826
self-censorship	0.0518246
meltdown	0.0516891
overheating	0.0515774
profligacy	0.0514902
"numbers game"	0.0514625
oversupply	0.0514106
volatility	0.0513748
rationing	0.0513739
reorientation	0.0513619
recuperation	0.0513057
rejuvenation	0.0512783
sickout	0.0512495
indigestion	0.050998
"deficit reduction"	0.0507929
easing	0.0506611
"price competition"	0.0504498
hand-wringing	0.0504189
freeloader	0.050408
shrinkage	0.05028
stimuli	0.0502408
"rapid growth"	0.0502035
pruning	0.0501822
inactivity	0.0501598
hubris	0.0500332
suppression	0.0499816
"Starr Report"	0.0498223
"bank withdrawal"	0.0497031
inaction	0.0495566
"musical chair"	0.0495449
downturns	0.0495415
Demutualization	0.0494658
overvaluation	0.0494412
deceleration	0.0492572
cross-pollination	0.049123
stabilization	0.0491111
standardization	0.0489023
rigidity	0.0488999
hand-holding	0.0488369
"Davis Cup World Group"	0.048721
"margin call"	0.048654
overcapacity	0.0483919
detente	0.0483761
inundation	0.0483132
"sales staff"	0.0482652
"land reform"	0.0482503
excavation	0.0482436
mismanagement	0.0481658
urbanization	0.0481251
callousness	0.0480525
"interest expense"	0.0479683
C-section	0.0477872
reappraisal	0.0477771
compounding	0.0477746
"civil disobedience"	0.0477283
synergy	0.0477125
parity	0.0476652
"Balanced Budget Act"	0.0476309
tranquility	0.0475773
suction	0.047465
rebirth	0.0473428
"identity crisis"	0.047213
disfigurement	0.0472032
analyses	0.0471985
divestiture	0.0471506
"value added tax"	0.0470206
nostrum	0.0468104
nationalization	0.0467893
"tax system"	0.0467864
"fishing license"	0.0467847
destabilization	0.0467478
foul-up	0.0467305
"interest rate increase"	0.0467169
"tax reduction"	0.0466326
))
(Beltran (desc 1729.44) (sims
Cirillo	0.263385
Vidro	0.250202
Randa	0.234712
Rolen	0.220673
Fullmer	0.208981
Bautista	0.207454
Higginson	0.205018
Burnitz	0.200802
Sexson	0.198813
"Damian Miller"	0.188815
Alicea	0.186502
Dunston	0.183808
"Eric Owens"	0.18335
"Matt Lawton"	0.182458
Lankford	0.177603
"Carlos Lee"	0.177534
"Jeff Conine"	0.175448
"Mark Loretta"	0.174665
"Mark Kotsay"	0.167879
"Jermaine Dye"	0.167123
Lieberthal	0.166633
"Johnny Damon"	0.165943
"Eric Chavez"	0.165229
"Ron Coomer"	0.163863
"Herbert Perry"	0.162658
Agbayani	0.162446
"Scott Spiezio"	0.161948
"John Vander Wal"	0.158867
Fryman	0.158744
DeShields	0.158311
"Geoff Jenkins"	0.158008
"Paul Bako"	0.157698
"Bobby Abreu"	0.157345
"Ben Grieve"	0.156866
"Bengie Molina"	0.156709
Aurilia	0.156561
Abreu	0.155997
"Bobby Higginson"	0.155112
"Troy Glaus"	0.154903
Bordick	0.154855
"Chris Widger"	0.154721
"Eddie Taubensee"	0.154548
Lawton	0.153814
"Mike Sweeney"	0.153622
Frye	0.153576
"Bill Mueller"	0.153388
Alomar	0.153313
"Bruce Aven"	0.152928
Valentin	0.152839
"Marquis Grissom"	0.152789
"Dmitri Young"	0.152607
"Warren Morris"	0.1525
Erstad	0.152034
"Melvin Mora"	0.1519
Segui	0.150963
"Rondell White"	0.150919
"Dante Bichette"	0.150624
"Preston Wilson"	0.150605
Cedeno	0.150129
"Jeff Kent"	0.150112
"Derrek Lee"	0.149286
"Todd Helton"	0.147518
Guillen	0.147456
Meares	0.147422
"Jose Vidro"	0.147397
Surhoff	0.147227
McGriff	0.14704
Karros	0.146485
"J.T Snow"	0.146385
Olerud	0.145174
"Paul Konerko"	0.144714
Bergeron	0.144651
Beltre	0.144572
"Deivi Cruz"	0.14431
Tatis	0.144064
Kapler	0.142865
Velarde	0.14258
"Joe Randa"	0.142147
Giambi	0.141463
Glanville	0.141396
Ordonez	0.141301
Renteria	0.140939
"Alex Gonzalez"	0.140873
"Pat Meares"	0.13916
Alfonzo	0.13873
Vizquel	0.138627
"Jose Valentin"	0.138532
Konerko	0.138144
"Ruben Rivera"	0.13795
Ledee	0.137769
Veras	0.13755
"Joe McEwing"	0.137367
Hidalgo	0.136936
"Kevin Young"	0.136731
"Scott Rolen"	0.136632
"Dean Palmer"	0.136508
"Marvin Benard"	0.1363
Spiers	0.135713
Grudzielanek	0.135549
Batista	0.135464
Hollins	0.135438
"Luis Alicea"	0.135438
"Cristian Guzman"	0.135403
"Einar Diaz"	0.135291
Nevin	0.13496
Cordero	0.134274
Glaus	0.13344
Palmeiro	0.133275
Tejada	0.132912
Elster	0.132516
"Travis Fryman"	0.131975
"Tony Batista"	0.131862
Saenz	0.131787
"Chad Curtis"	0.131273
"Jason Giambi"	0.13101
"David Ortiz"	0.130506
Molina	0.130478
"Luis Gonzalez"	0.130288
Helton	0.130161
Burks	0.130064
"Danny Bautista"	0.129902
"Benny Agbayani"	0.129846
"Matt Franco"	0.129793
"Dave Hansen"	0.129735
"Brian Giles"	0.12944
Caminiti	0.129309
"Mike Lieberthal"	0.129158
"Damian Jackson"	0.128822
"Darren Lewis"	0.128383
Delgado	0.128319
"Tony Eusebio"	0.128234
"Jose Hernandez"	0.128039
Easley	0.127868
"Jay Bell"	0.126827
Castilla	0.126769
"Mickey Morandini"	0.126621
"Todd Pratt"	0.126506
Biggio	0.126172
"Russ Johnson"	0.126108
"Scott Brosius"	0.125901
"Neifi Perez"	0.125683
"Richard Hidalgo"	0.125376
Lofton	0.12518
"Tim Bogar"	0.124357
Varitek	0.124311
"Tom Goodwin"	0.123972
"Jeff Cirillo"	0.123841
Ramirez	0.123269
"Juan Encarnacion"	0.123119
Daubach	0.122454
"Todd Hollandsworth"	0.122437
"Sean Casey"	0.12218
"Jeff Bagwell"	0.122043
"Vladimir Guerrero"	0.122018
"Carlos Beltran"	0.121765
"Rich Aurilia"	0.121699
"Bill Spiers"	0.121686
"Kenny Lofton"	0.121347
"Brad Ausmus"	0.121278
"Mark Grudzielanek"	0.120983
"Tony Clark"	0.120795
"Adam Kennedy"	0.120708
"Aaron Boone"	0.120586
Jeter	0.119612
"Orlando Palmeiro"	0.119332
"Glenallen Hill"	0.119201
"Wally Joyner"	0.118591
Cabrera	0.118271
Knoblauch	0.11819
"Trot Nixon"	0.118043
"Will Clark"	0.117914
"Ray Lankford"	0.117823
Brosius	0.117737
McCarty	0.117287
"Ozzie Guillen"	0.117225
"Steve Finley"	0.116625
"Miguel Cairo"	0.116586
"John Valentin"	0.116501
Klesko	0.116166
"Phil Nevin"	0.116155
"Doug Glanville"	0.116102
"Miguel Tejada"	0.116075
"Enrique Wilson"	0.116018
Bragg	0.115918
Zeile	0.115841
Thome	0.115405
"Jeremy Giambi"	0.115184
Offerman	0.11514
Womack	0.115128
"Eric Karros"	0.115059
"Desi Relaford"	0.114927
"Ray Durham"	0.114544
"Mike Lansing"	0.114425
"Roger Cedeno"	0.114374
"Jim Thome"	0.114311
"Jeffrey Hammonds"	0.113346
"Brent Mayne"	0.113208
"Stan Javier"	0.113179
"Matt Walbeck"	0.113119
Stinnett	0.113019
"Keith Lockhart"	0.11276
"Mark Grace"	0.112487
"Darin Erstad"	0.112275
"Gary Sheffield"	0.112058
Baerga	0.112003
"Sandy Alomar"	0.111804
"Harold Baines"	0.111551
Bagwell	0.111412
DiSarcina	0.111358
"Ricky Ledee"	0.111353
"Adrian Beltre"	0.111252
"F.P Santangelo"	0.110943
Gant	0.110681
Bichette	0.110677
"John Mabry"	0.110509
Brogna	0.110204
"Travis Lee"	0.110178
"Gerald Williams"	0.110097
"Dave Martinez"	0.109902
"Pat Burrell"	0.109735
"Michael Tucker"	0.109687
McLemore	0.109681
"Jose Guillen"	0.10966
"Andruw Jones"	0.10959
"Kelly Stinnett"	0.109562
"Randy Velarde"	0.109462
Eusebio	0.109409
Lugo	0.108644
Cora	0.108629
"David Bell"	0.108535
"Rusty Greer"	0.108532
"Mike Cameron"	0.108027
"Bubba Trammell"	0.107816
Alou	0.107746
"Ivan Rodriguez"	0.107515
"Jason Varitek"	0.107476
Huskey	0.107455
"Chris Gomez"	0.107402
"Brian Hunter"	0.107344
"Frank Thomas"	0.107153
Ripken	0.107122
"Bernie Williams"	0.106746
"Tino Martinez"	0.106711
"Garret Anderson"	0.106501
"Jason Kendall"	0.106482
"John Olerud"	0.105951
"Richie Sexson"	0.105873
"Pokey Reese"	0.105779
"Fred McGriff"	0.105704
"Tim Salmon"	0.10569
"Matt Williams"	0.105318
"Gabe Kapler"	0.105042
"Fernando Vina"	0.104848
Moreau	0.104816
"Rico Brogna"	0.104733
"Carl Everett"	0.10456
"Royce Clayton"	0.104531
Leyritz	0.104446
Rueter	0.104395
"Brant Brown"	0.104183
"Rey Sanchez"	0.104097
"Lenny Harris"	0.104075
Gwynn	0.103791
Larkin	0.103682
Trammell	0.10355
"Luis Castillo"	0.103509
"Shawn Green"	0.103427
"Kevin Jordan"	0.103407
"Barry Larkin"	0.103406
"Edgardo Alfonzo"	0.10311
"Reggie Sanders"	0.102996
"Ken Caminiti"	0.102988
Vina	0.102851
Javier	0.102751
"Ron Gant"	0.102582
"Shannon Stewart"	0.102427
Goodwin	0.102334
"Chipper Jones"	0.101907
"Luis Lopez"	0.101727
JOYNER	0.101418
"Brian McRae"	0.101312
Bonilla	0.10117
Mayne	0.101047
Dellucci	0.101036
Catalanotto	0.100951
"Eric Young"	0.100621
"Corey Koskie"	0.100514
"Edgar Martinez"	0.100379
"Mike Lowell"	0.100318
))
(Beltre (desc 6032.07) (sims
"Adrian Beltre"	0.240005
Cirillo	0.203548
Glaus	0.203399
Grudzielanek	0.192405
Karros	0.188805
Zeile	0.17816
"Eric Karros"	0.172524
Vidro	0.16597
"Troy Glaus"	0.161426
Velarde	0.160284
Brosius	0.15963
Valentin	0.15785
"Scott Brosius"	0.157216
Baerga	0.155978
Offerman	0.15016
Ordonez	0.149439
Bordick	0.149287
Olerud	0.149075
"Robin Ventura"	0.147655
"Mark Grudzielanek"	0.146746
Dunston	0.146145
"Scott Rolen"	0.145893
"Bill Mueller"	0.145718
Hundley	0.144846
Beltran	0.144572
Alfonzo	0.144409
Alomar	0.143204
Knoblauch	0.141368
"Jay Bell"	0.141299
"Todd Zeile"	0.141188
Elster	0.140823
"Gary Sheffield"	0.140509
"David Bell"	0.140419
Meares	0.139607
"John Valentin"	0.138801
Alicea	0.138679
"Bobby Abreu"	0.138326
Varitek	0.137883
Klesko	0.137877
Segui	0.136957
Guillen	0.136899
"Chipper Jones"	0.136571
"Bill Spiers"	0.136335
Lieberthal	0.136014
Mondesi	0.135922
"Desi Relaford"	0.135325
"Raul Mondesi"	0.134994
"Todd Hundley"	0.134836
"Tim Bogar"	0.133699
Cora	0.133568
"Ken Caminiti"	0.133442
"Eric Young"	0.132976
Rolen	0.132797
"Russ Davis"	0.132732
Fullmer	0.132598
Lankford	0.132321
"Mark Loretta"	0.132108
"Luis Alicea"	0.131262
Cedeno	0.131215
"Dave Hansen"	0.131149
"Todd Hollandsworth"	0.130866
Palmeiro	0.130424
Vizcaino	0.130405
"Melvin Mora"	0.130304
Hollandsworth	0.130289
"Jeff Cirillo"	0.129701
"Shawn Green"	0.129215
Veras	0.129194
Higginson	0.12887
"Rich Aurilia"	0.128739
Caminiti	0.128167
"Andy Fox"	0.128084
Abreu	0.127828
Spiers	0.127778
Surhoff	0.127527
"Brian Hunter"	0.127521
"Eric Owens"	0.127416
"Devon White"	0.127399
Tatis	0.126489
"Kevin Jordan"	0.126238
Tejada	0.126072
Garciaparra	0.125994
Jeter	0.124951
"Scott Spiezio"	0.124739
Cabrera	0.124598
Sexson	0.124253
Bonilla	0.124199
"Ozzie Guillen"	0.124035
Piazza	0.123882
Batista	0.123674
"Vladimir Guerrero"	0.123539
Galarraga	0.122949
"Carlos Lee"	0.122911
"Herbert Perry"	0.122728
Vaughn	0.122662
"Paul LoDuca"	0.122615
"Jose Hernandez"	0.122148
"Eric Chavez"	0.121975
"Bruce Aven"	0.121789
Ripken	0.121367
Burnitz	0.121205
Erstad	0.121183
"Cristian Guzman"	0.12044
"Matt Lawton"	0.120311
DeShields	0.120033
McLemore	0.119999
"John Olerud"	0.119938
"Russ Johnson"	0.119807
Ledee	0.119663
Giambi	0.11952
Ramirez	0.119477
"Eddie Taubensee"	0.119463
"Jeff Bagwell"	0.119144
"Joe Randa"	0.119005
Castilla	0.118982
Aurilia	0.118435
"Deivi Cruz"	0.118408
"Kevin Elster"	0.118369
Gwynn	0.117977
"Jeff Conine"	0.117939
"Damian Miller"	0.117653
"Rickey Henderson"	0.117235
Gugliotta	0.117012
"John Vander Wal"	0.116952
"Pat Meares"	0.116761
Griffey	0.116467
McGriff	0.116222
Helton	0.116062
"Fred McGriff"	0.1157
"Adam Kennedy"	0.115119
"Mike Lieberthal"	0.114793
"Randy Velarde"	0.114774
"Mark Kotsay"	0.114736
Frye	0.114698
"Ron Coomer"	0.114426
Agbayani	0.11442
Glanville	0.1142
Renteria	0.114194
"Brian Giles"	0.114155
"Matt Williams"	0.113409
Leyritz	0.113204
grieve	0.113118
Canseco	0.113004
"Mike Piazza"	0.113002
"Jose Offerman"	0.112902
Gilkey	0.112825
"Warren Morris"	0.112656
Merloni	0.112628
Laudrup	0.112624
Biggio	0.112462
"John Mabry"	0.112438
Rodriguez	0.112357
"Kelly Stinnett"	0.112188
"Paul Konerko"	0.112148
Larkin	0.112094
"Mike Lamb"	0.112084
Delgado	0.111874
"Dante Bichette"	0.111442
"Mike Sweeney"	0.111403
"Edgardo Alfonzo"	0.111367
"Tony Eusebio"	0.111323
"Todd Helton"	0.111111
Vizquel	0.110893
"Mickey Morandini"	0.110722
Hatteberg	0.110556
Gant	0.110527
"Will Clark"	0.110314
"Alex Rodriguez"	0.110046
"Dean Palmer"	0.109866
Gagne	0.109863
"Jose Valentin"	0.109785
"Pat Burrell"	0.109756
"Bobby Bonilla"	0.109741
"J.T Snow"	0.109505
Stinnett	0.109452
"Jason Kendall"	0.109304
Cordero	0.109278
Lawton	0.109165
Daubach	0.108935
"Alex Cora"	0.107717
"Geoff Jenkins"	0.107695
"Tony Batista"	0.107664
"Charles Johnson"	0.107491
Mora	0.107304
"Craig Biggio"	0.10726
"Bobby Higginson"	0.107044
"David Ortiz"	0.107014
"Chris Widger"	0.106755
"Jose Guillen"	0.106744
Randa	0.106707
"Javy Lopez"	0.106658
"Charlie Hayes"	0.106574
Molina	0.106411
"Aaron Boone"	0.106229
Nevin	0.105991
Fryman	0.105966
"Bernie Williams"	0.105899
"Bill Buckner"	0.105659
"Matt Franco"	0.105143
"Benny Agbayani"	0.105044
"Luis Gonzalez"	0.104671
"Carl Everett"	0.104609
"Bengie Molina"	0.104517
"Ricky Gutierrez"	0.104393
"Rafael Palmeiro"	0.10435
"Andruw Jones"	0.104322
Hidalgo	0.104276
Bautista	0.104243
"Enrique Wilson"	0.104213
Bichette	0.104177
"Jose Vizcaino"	0.104151
Burks	0.104144
"Phil Nevin"	0.103934
"Darin Erstad"	0.103845
Furcal	0.103769
"Jeff Kent"	0.103718
belle	0.103683
"Angel Pena"	0.103407
Alou	0.103366
"Omar Vizquel"	0.103241
"Rondell White"	0.103036
"Doug Glanville"	0.103031
"Manny Alexander"	0.102685
"Edgar Martinez"	0.102617
"Royce Clayton"	0.102357
"Matt Walbeck"	0.102209
Kreuter	0.102044
Womack	0.101754
"Steve Finley"	0.101754
"Eddie Perez"	0.101689
"Derrek Lee"	0.101241
Konerko	0.101214
DiSarcina	0.101156
"Tino Martinez"	0.101149
Finley	0.100964
"Johnny Damon"	0.100958
"F.P Santangelo"	0.100908
"Mike Bordick"	0.100825
Hollins	0.100704
"Brian Jordan"	0.100699
"Dmitri Young"	0.100535
"Chuck Knoblauch"	0.100436
McRae	0.100305
McDyess	0.100118
))
(beltway (desc 4714.03) (sims
"ring road"	0.0775995
"show biz"	0.0537984
"Olaf Kolzig"	0.0474583
"show business"	0.0474422
gringo	0.044961
FEDERALIST	0.0440076
take-no-prisoners	0.0405899
))
(BELUGA (desc 1862.07) (sims
Orca	0.0788783
sturgeon	0.0704294
"sea lion"	0.0587248
tern	0.0558522
mollusk	0.0555777
"gefilte fish"	0.0545031
caviar	0.0543491
"sea gull"	0.053502
"leg bone"	0.0515995
porpoise	0.0503203
interloper	0.0493879
"fishing rod"	0.0484187
"tax income"	0.0449961
sparkler	0.043748
"cranberry sauce"	0.0425839
omelette	0.0409037
"fish fillet"	0.0408444
))
(bemusement (desc 2194.85) (sims
amusement	0.110025
disbelief	0.109889
equanimity	0.105855
trepidation	0.0959697
awe	0.0926732
amazement	0.0900023
sarcasm	0.0888603
derision	0.0793138
consternation	0.0770731
sadness	0.0764922
reverence	0.0750385
hauteur	0.0746527
bewilderment	0.0739563
nastiness	0.0722248
condescension	0.0717125
admiration	0.0710922
dread	0.0705485
exasperation	0.0699581
unreality	0.0694882
jubilation	0.068327
self-satisfaction	0.0678771
hopefulness	0.0670905
astonishment	0.0664594
erudition	0.0644804
ambivalence	0.0637772
pity	0.0634182
wariness	0.0630718
apprehension	0.0625412
elation	0.0623272
smugness	0.060654
exhilaration	0.0597136
glee	0.0594689
playfulness	0.0561729
whimsy	0.0559901
spontaneity	0.0556652
anticlimax	0.0539461
poignancy	0.0537059
foreboding	0.0529265
cynicism	0.052787
incredulity	0.0527183
wonderment	0.0524489
"sense of shame"	0.0515159
invincibility	0.0512594
weariness	0.0505216
tenderness	0.050185
puzzlement	0.0501584
laziness	0.0501025
naivete	0.0498754
levity	0.0497465
empathy	0.0496634
normalcy	0.0495299
fatalism	0.0492183
blandness	0.0477911
pathos	0.0472679
bravado	0.0468649
disquiet	0.0468032
tranquilizer	0.0464973
pandemonium	0.0459239
understatement	0.0458992
moxie	0.0455239
perversity	0.0453704
nonchalance	0.0450164
irritation	0.0449714
distaste	0.0447684
virulence	0.0438186
wistfulness	0.043764
verisimilitude	0.0437341
revulsion	0.0436761
idolatry	0.0435571
coolness	0.0435378
defensiveness	0.0433044
finality	0.043171
normality	0.043168
hand-wringing	0.0430828
nearsightedness	0.0428641
sleet	0.042845
lightness	0.0428333
bargain-hunting	0.0428315
gravitas	0.042477
"inferiority complex"	0.0424252
self-awareness	0.0424195
self-confidence	0.0424157
"civic duty"	0.0419378
self-respect	0.0419088
grandiosity	0.041734
tact	0.0417045
adoration	0.0414921
scrim	0.0411334
self-pity	0.0404986
jingoism	0.0403939
overconfidence	0.0402864
))
(Ben (desc 18341.8) (sims
tom	0.113211
Tim	0.113162
Carl	0.112595
matt	0.106839
Michael	0.105249
Robert	0.104273
Brian	0.10254
John	0.102007
Paul	0.101414
Jeff	0.101171
mike	0.100905
Steve	0.100764
Danny	0.100319
Chris	0.100306
David	0.100127
Jamie	0.100058
Jim	0.0993327
Eric	0.0988744
William	0.0986982
Gerald	0.0977338
Sam	0.096236
Phil	0.0959891
Josh	0.0954644
Gary	0.0952232
Greg	0.0950336
Jason	0.0936014
Steven	0.0924344
Richard	0.0916543
Joe	0.0914356
Ted	0.0912928
Jimmy	0.09092
Bobby	0.0908755
Kevin	0.0901127
Adam	0.0896583
Marty	0.0890749
Larry	0.0885372
Shawn	0.0883455
Rick	0.0874296
Bruce	0.0858787
Peter	0.0856786
Jake	0.0855268
Terry	0.0849052
BOB	0.0848077
Randy	0.0846237
Alex	0.0842155
Charlie	0.0840248
Jeremy	0.0836262
Sean	0.0833064
Nicholas	0.0823713
Jeb	0.0819329
Dave	0.0818271
Eddie	0.0813051
Jerry	0.0811691
Kenny	0.0809672
Stephen	0.0800716
Ed	0.0798019
Sarah	0.0794227
Frank	0.079416
Johnny	0.0788376
Charles	0.078836
Patrick	0.0788136
Dan	0.0787666
Brad	0.0785505
Joel	0.0784499
Wayne	0.0777939
Harry	0.07741
Joshua	0.0773789
Andy	0.0773626
Juan	0.0773503
jack	0.0772813
Keith	0.0772355
Roger	0.0769651
Alan	0.0767982
Walter	0.0763861
Todd	0.0759836
Jonathan	0.0759306
Linda	0.0758007
Evan	0.0757204
Neil	0.0756919
Billy	0.0756818
Fred	0.0753328
George	0.0753228
Jacob	0.0751796
Anthony	0.0747333
Brett	0.0745582
Tony	0.0745292
Ian	0.0743878
Ryan	0.0739794
Theo	0.0739422
Raymond	0.0733976
Dennis	0.073389
Matthew	0.0732749
Scott	0.0730187
Ronald	0.072823
Andre	0.0726501
Derek	0.0719384
Henry	0.0718192
Darren	0.0718064
Joey	0.0717712
don	0.0717097
Andrew	0.0715424
Barry	0.0714541
Katie	0.0714425
Edward	0.0713897
Kyle	0.071016
Daniel	0.0706894
"George W."	0.07057
Shane	0.0703949
nick	0.0702923
Leo	0.0700808
Robbie	0.0699918
Aaron	0.0699532
Arthur	0.0695816
Ken	0.06948
Doug	0.0688035
Andrei	0.0685091
Zachary	0.0680641
James	0.0678265
Reggie	0.0676779
Byron	0.0675026
Brandon	0.0672493
Cody	0.0672043
Vladimir	0.0666879
Jesse	0.0665026
Craig	0.0664808
Brent	0.0664059
Trevor	0.0662853
Marvin	0.0659776
Justin	0.0659065
Wyatt	0.0658335
Manuel	0.0656952
Ralph	0.065473
Miguel	0.065418
Jennifer	0.0653174
Owen	0.065302
Ramon	0.0652774
Luke	0.0649704
Maurice	0.0649621
Carlos	0.064952
Jon	0.0648871
Philip	0.0643334
Glenn	0.0635577
Drew	0.0634712
Gerard	0.0633288
Natalie	0.0629862
dad	0.0629128
Damon	0.0628789
Gabriel	0.0627959
Joseph	0.0627566
Adrian	0.0627307
Max	0.0626913
A.J	0.0625567
Jose	0.062379
timothy	0.0622319
Kathleen	0.062185
Christopher	0.0620448
jay	0.0620331
Pete	0.0618524
Ron	0.06185
Simon	0.0618206
Casey	0.0616793
Ernie	0.0614544
Albert	0.0611293
Ricky	0.0610707
Samuel	0.0609941
Thomas	0.0609478
Willie	0.0609175
Seth	0.060889
Hank	0.0607912
Eli	0.0607527
Travis	0.0606746
sandy	0.0605542
Troy	0.0604088
Pedro	0.0602933
Marc	0.0601022
Mario	0.0600993
Roy	0.0600712
Lance	0.0599973
Allan	0.0598712
Freddie	0.0598153
Jackie	0.0597178
Jessica	0.0594595
Cameron	0.059349
Julian	0.0590686
Sally	0.0590612
Shannon	0.058713
mom	0.0586311
Corey	0.0585054
Blake	0.058427
Noel	0.0584206
Karl	0.0580878
Mohammed	0.0580509
Arnold	0.0578004
Fernando	0.0577862
Antonio	0.0577587
Carol	0.0573947
Marcus	0.0573331
anna	0.057006
Donald	0.056798
Stan	0.0567737
))
("Ben &AMP; Jerry" (desc 3349.59) (sims
VoiceStream	0.112887
Bestfoods	0.10955
"RJR Nabisco"	0.104145
"U S West"	0.100712
Mannesmann	0.100035
Avondale	0.0978907
"Thermo Electron"	0.0968289
Pairgain	0.0959569
BankBoston	0.0934449
"Telecom Italia"	0.0918321
McKesson	0.0860375
"U.S. Trust"	0.0859476
ExciteAtHome	0.0853425
PLDT	0.0851194
Halliburton	0.0849919
COLTEC	0.084623
Seagram	0.0842274
"Bankers Trust"	0.0836238
Livent	0.0829023
"Rite Aid"	0.0826624
Warner-Lambert	0.0825845
Aegon	0.0825128
Vivendi	0.0824483
BofA	0.0821421
HBOC	0.0819128
REVLON	0.0816961
Kinko	0.0814594
Dreyer	0.081265
Airtouch	0.0808509
Petrofina	0.0798755
ALZA	0.0798337
ARCO	0.0788142
Qwest	0.0785144
Aetna	0.0778546
Filene	0.0776602
AutoNation	0.0762104
"Stride Rite"	0.0759817
Mattel	0.0745003
Delphi	0.0740828
Broadcast.com	0.0736095
"Nippon Credit"	0.0735319
AIG	0.0727061
TYCO	0.0724538
NatWest	0.0723895
"Y&AMP;R"	0.071704
RJR	0.0715504
Raytheon	0.071488
GeoCities	0.0714455
"Lotus Development Corp."	0.0713932
Cendant	0.0710801
Marketspan	0.0710699
Sunbeam	0.0710687
Diageo	0.0706086
"US Airways"	0.0704297
Honeywell	0.0699932
"Livent Inc."	0.0693131
GTE	0.0692147
PaineWebber	0.0692006
Gucci	0.0689355
Ciena	0.0688515
PictureTel	0.0688355
NORTHROP	0.0685351
YPF	0.0682306
Lycos	0.0680824
TCI	0.0679143
"HBO &AMP; Co."	0.0674297
Monsanto	0.0672364
MindSpring	0.0668502
Genentech	0.0668106
"Waste Management"	0.0667278
SmithKline	0.066432
Paribas	0.066159
Lucent	0.0658228
E-LOAN	0.0651148
Cerent	0.064971
"Warner-Lambert Co."	0.0647336
Chiron	0.0645909
Conrail	0.0642862
Asarco	0.0642461
"Reed Elsevier"	0.0641916
"MediaOne Group"	0.0641393
"ELF AQUITAINE"	0.064032
Soma	0.0634893
Astra	0.0633304
AMP	0.0631597
Nortel	0.0631261
AMF	0.0630731
Healtheon	0.0624137
"Societe Generale"	0.0624034
Broderbund	0.0623198
Schwab	0.0622731
ZIFF-DAVIS	0.0622021
MiniMed	0.0621446
Amgen	0.0620837
Nabisco	0.0620509
Mediaone	0.061927
Beringer	0.0616047
"Bankers Trust Corp."	0.0615838
Texaco	0.0615479
Mobil	0.0614331
Penney	0.0611273
Warnaco	0.0610809
Nestle	0.0608405
"US West"	0.0607971
DaimlerChrysler	0.0607244
Procter	0.0605255
"Lycos Inc."	0.060457
"Papa John"	0.0603836
EMC	0.0600753
Humana	0.0600043
Nextel	0.0599047
"Times Mirror"	0.059711
"P&AMP;G"	0.0595919
"Bay Networks"	0.0593961
"Time Warner"	0.0593835
N@K	0.0593252
Enron	0.0592257
Verizon	0.0592115
"GTE Corp."	0.059181
"Global Crossing"	0.0590967
"Learning Co."	0.0590561
"Orange PLC"	0.0586945
LTCB	0.0583587
AstraZeneca	0.0583219
Viacom	0.0582959
PolyGram	0.0581947
"Deutsche Telekom"	0.0580694
Occidental	0.057877
Kodak	0.057776
WebMD	0.0577594
"Newport News"	0.0577481
XYLAN	0.0576566
Citigroup	0.0575995
PRIMESTAR	0.0575971
"Union Carbide"	0.0575101
Compaq	0.0574651
Tran	0.0573915
Danka	0.0572385
"America West"	0.0571294
"Atlantic Richfield"	0.0568096
BCE	0.0567095
Bristol-Myers	0.056705
EarthLink	0.0566451
Pinkerton	0.0564327
MCI	0.0564325
Chrysler	0.0561457
WorldCom	0.0561311
Pfizer	0.0561278
Sepracor	0.0560565
Hoechst	0.0557659
"AMR Corp."	0.055519
Mervyn	0.055446
SBC	0.0551413
CNET	0.0548427
Fingerhut	0.0546041
iXL	0.0545088
adobe	0.0544265
Ameritech	0.0544228
continental	0.0542885
"J&AMP;J"	0.054241
Comsat	0.054233
"MCI WorldCom"	0.054028
"Fred Meyer"	0.0539921
"Netscape Communications Corp."	0.0537357
NCR	0.0536224
"Bell Atlantic"	0.05343
Pacifica	0.0534059
Orangina	0.0533646
"Pacific Century"	0.0532499
Infoseek	0.0532453
Walgreen	0.0530089
"Times Mirror Co."	0.0529657
Telefonica	0.0528448
"Atlantic Richfield Co."	0.0528375
Unilever	0.0528342
"Northern Telecom"	0.0528194
"Tele-Communications Inc."	0.052818
"Thomson Multimedia"	0.0528035
Ingram	0.0527127
Eurotunnel	0.0526955
NTL	0.052671
"Network Solutions"	0.0525857
Goldman	0.0524565
"BP Amoco"	0.0523569
Saks	0.0522683
Genzyme	0.0522524
AmeriTrade	0.0522295
Kroger	0.0520478
Merrill	0.0519757
"Frontier Corp."	0.0519131
"American Home"	0.0519022
AMR	0.0516784
Bayer	0.0516257
UAL	0.0516074
BellSouth	0.0515901
ENTREMED	0.0515901
Reebok	0.0514106
Georgia-Pacific	0.0513376
"Air Canada"	0.0512263
Tropicana	0.0511524
))
("Ben Affleck" (desc 7788.86) (sims
"Matt Damon"	0.164604
"Jude Law"	0.158038
"Cate Blanchett"	0.155107
"Drew Barrymore"	0.146413
"Joseph Fiennes"	0.144952
"Johnny Depp"	0.13352
"Edward Norton"	0.131256
"Brad Pitt"	0.130215
"Geoffrey Rush"	0.129777
Affleck	0.128482
"Michelle Pfeiffer"	0.127526
"Richard Gere"	0.126603
"Will Smith"	0.123236
"Leonardo DiCaprio"	0.122431
"Gwyneth Paltrow"	0.121357
"Tom Hanks"	0.121089
"Ralph Fiennes"	0.120243
"Cameron Diaz"	0.118568
"Matthew McConaughey"	0.118146
"Danny DeVito"	0.111807
"Demi Moore"	0.110928
"Kevin Costner"	0.108687
"Michael Caine"	0.107768
"Bill Pullman"	0.107013
"Janeane Garofalo"	0.106972
"Claire Danes"	0.106581
"Nicole Kidman"	0.105398
"Arnold Schwarzenegger"	0.10484
"Billy Bob Thornton"	0.103749
"Ben Stiller"	0.102944
"Julia Roberts"	0.102872
"Mark Wahlberg"	0.101726
"Harrison Ford"	0.100408
"Cuba Gooding Jr."	0.0975318
"John Travolta"	0.0975202
"Jennifer Love Hewitt"	0.0967194
"Paul Newman"	0.096105
"Rob Lowe"	0.0959328
"Kim Basinger"	0.0952487
"Helen Hunt"	0.0949415
"Tom Cruise"	0.0949111
"George Clooney"	0.094303
"James Van Der Beek"	0.09358
"Melanie Griffith"	0.0926674
"Juliette Lewis"	0.0925666
"Michael Douglas"	0.0922883
"Nick Nolte"	0.0914307
"Charlize Theron"	0.0901584
"Winona Ryder"	0.0899964
"Minnie Driver"	0.0898607
"Bruce Willis"	0.0889004
"Robin Williams"	0.087856
"Tom Selleck"	0.0877203
"Kate Winslet"	0.0865022
"Taye Diggs"	0.0857249
"Chevy Chase"	0.0856854
"Glenn Close"	0.0848276
"Annette Bening"	0.0847429
"Helen Mirren"	0.0844447
"Elizabeth Hurley"	0.0841218
"Jeremy Irons"	0.0840575
"Matthew Perry"	0.0839298
"Sally Field"	0.0837053
"Matthew Broderick"	0.0834305
"Omar Epps"	0.0827079
"Nicolas Cage"	0.0823656
"Whoopi Goldberg"	0.0822965
"Steve Martin"	0.0818304
"Russell Crowe"	0.0816951
"Nathan Lane"	0.0808688
"Ethan Hawke"	0.0804781
"Julianne Moore"	0.080044
"Kevin Bacon"	0.0795869
"John Cusack"	0.0793645
"Hugh Grant"	0.0785758
"Jodie Foster"	0.0784465
"Sylvester Stallone"	0.0783553
"Keanu Reeves"	0.0781909
"Sean Penn"	0.0780801
"Rupert Everett"	0.0776446
"Christopher Reeve"	0.0772339
"Judi Dench"	0.0769594
"Christina Ricci"	0.0769092
"Samuel L. Jackson"	0.0765044
"Sharon Stone"	0.0759676
"Bill Paxton"	0.0758386
"Brian Dennehy"	0.0757746
"Jamie Foxx"	0.075649
"John Malkovich"	0.0756389
"Tobey Maguire"	0.0755147
"Jon Voight"	0.0752421
"Andre Braugher"	0.0747834
"Alec Baldwin"	0.0747481
"Gene Hackman"	0.0741933
"Michael J. Fox"	0.0739671
"William Shatner"	0.0739348
"Kevin Spacey"	0.0737426
"Richard Dreyfuss"	0.0733096
"Gregory Peck"	0.0730227
"Antonio Banderas"	0.0730084
"Famke Janssen"	0.072649
"Liam Neeson"	0.0725977
"David Duchovny"	0.0725877
"AL PACINO"	0.0723941
"Robert de Niro"	0.0720631
"Meg Ryan"	0.0714265
"Roberto Benigni"	0.0708065
"Billy Crystal"	0.0707941
"Danny Glover"	0.0707424
"Adam Sandler"	0.0707251
"Denzel Washington"	0.0706161
"Jim Carrey"	0.070109
"Mike Myers"	0.0694194
"Sela Ward"	0.0692544
"Meryl Streep"	0.0692108
"Kevin Kline"	0.0690853
"Woody Harrelson"	0.0689822
"Robert DeNiro"	0.0689125
"Bill Murray"	0.0686036
"Edward Furlong"	0.0680909
"Ryan Phillippe"	0.0678205
"Halle Berry"	0.0677037
"Mel Gibson"	0.0675909
"Billy Crudup"	0.0673395
"Courtney Love"	0.0668931
"Martin Sheen"	0.0667593
DiCaprio	0.0665615
"Penelope Cruz"	0.0664538
"Jack Nicholson"	0.06611
"Renee Zellweger"	0.0660029
"Tim Robbins"	0.0658513
"Jimmy Smits"	0.0658173
"Paul Rudd"	0.0656283
"Patrick Stewart"	0.065445
"Matt Dillon"	0.0654272
"Ian McKellen"	0.0652757
"Lily Tomlin"	0.0649377
"Wesley Snipes"	0.0648004
"Ted Danson"	0.0647072
"Sarah Michelle Gellar"	0.0645567
"Kate Hudson"	0.0643944
"Christian Slater"	0.0642224
"Leelee Sobieski"	0.0641336
"Heather Graham"	0.0638395
"Dustin Hoffman"	0.0637654
"Sarah Jessica Parker"	0.0637347
"Robert Redford"	0.0637192
"Tommy Lee Jones"	0.0635752
"Calista Flockhart"	0.0635012
"Bridget Fonda"	0.062891
"Faye Dunaway"	0.0628349
"Chris Rock"	0.0627857
"Brendan Fraser"	0.06236
"Martin Lawrence"	0.0621275
"Alicia Silverstone"	0.0618456
"Liv Tyler"	0.0617944
"Jason Alexander"	0.061786
"Jackie Chan"	0.0608017
Paltrow	0.060765
"James Woods"	0.0600196
Cher	0.0596954
Costner	0.0592614
"Dennis Hopper"	0.0590977
"Ian Holm"	0.0590832
"Steve McQueen"	0.0590157
"JOHN TURTURRO"	0.0589402
"Gillian Anderson"	0.0587345
"Jerry Seinfeld"	0.0585085
"Warren Beatty"	0.0583471
"Jennifer Aniston"	0.0583272
"Albert Finney"	0.0582869
"Sean Connery"	0.0581706
"Sandra Bullock"	0.0581003
"Jack Lemmon"	0.0580908
"Kirsten Dunst"	0.0580059
"Gary Sinise"	0.0579247
Damon	0.0578651
"Frances McDormand"	0.0575344
"Norm MacDonald"	0.0573567
"Anthony Hopkins"	0.0569047
"Salma Hayek"	0.0568191
"Angelina Jolie"	0.0567397
"Burt Reynolds"	0.0566512
"Julie Andrews"	0.0561951
"Ed Harris"	0.0560959
"David Spade"	0.0557328
"Burt Lancaster"	0.0556087
"Tom Sizemore"	0.055558
"John Cleese"	0.0554358
"William H. Macy"	0.0553522
"Haley Joel Osment"	0.0553307
"Cybill Shepherd"	0.055058
"Marlon Brando"	0.0547385
"Aidan Quinn"	0.0545638
"Garry Shandling"	0.0542133
"Robert Duvall"	0.0539858
"Elisabeth Shue"	0.053442
"Eddie Murphy"	0.0534063
"Jamie Lee Curtis"	0.0532651
"Val Kilmer"	0.0531604
))
("Ben Coates" (desc 4722.51) (sims
"Tony Simmons"	0.219469
"Troy Brown"	0.214328
"Terry Glenn"	0.210949
"Vincent Brisby"	0.197893
"Shawn Jefferson"	0.189051
Coates	0.176044
"Kyle Brady"	0.169407
"Eric Bjornson"	0.156406
"Willie McGinest"	0.156205
"Tony Carter"	0.152675
"Todd Rucci"	0.148253
"Ted Johnson"	0.147079
"David LaFleur"	0.142073
"Willie Clay"	0.130091
"Ed McCaffrey"	0.12965
"Rod Smith"	0.126474
"Shannon Sharpe"	0.125917
"Tedy Bruschi"	0.125388
"O.J Santiago"	0.121885
Brisby	0.119609
"Tony Martin"	0.115577
"Bruce Armstrong"	0.112475
"Jackie Harris"	0.107722
"Terry Allen"	0.107682
"Chris Slade"	0.106274
"Ike Hilliard"	0.105715
"Ty Law"	0.103344
"Terance Mathis"	0.100072
"Steve Israel"	0.0989975
"Drew Bledsoe"	0.098288
"Keyshawn Johnson"	0.0982839
"Max Lane"	0.0981253
Glenn	0.0956779
"Wayne Chrebet"	0.0953497
Chrebet	0.0938066
Faulk	0.0935303
"Ernie Zampese"	0.0921499
"Amani Toomer"	0.0914931
"Tim Dwight"	0.0912486
"Rob Moore"	0.0884128
"Curtis Martin"	0.0883901
"Dave Wohlabaugh"	0.0883885
"Michael Irvin"	0.0866955
"Chad Eaton"	0.084561
"Danny Farmer"	0.0844794
Milloy	0.0831363
Mathis	0.0827885
"Oronde Gadsden"	0.0826173
"Mark Brunell"	0.0815956
"Rick Mirer"	0.0799613
Bledsoe	0.0794913
"Eric Moulds"	0.0793727
"Isaac Bruce"	0.0791783
"Carl Pickens"	0.0777908
"Mike Jones"	0.076915
"Dedric Ward"	0.0760751
"Ray Buchanan"	0.0746567
"Peerless Price"	0.0739623
"Henry Thomas"	0.0730126
"Jimmy Smith"	0.0723023
"Ozzie Newsome"	0.0715605
"Joey Galloway"	0.0708935
"Cris Carter"	0.070755
Testaverde	0.0706844
Chmura	0.0706651
Grbac	0.0702594
"Terrell Owens"	0.0694584
"Sam Gash"	0.0691756
"Robert Edwards"	0.0688681
linemen	0.0682313
Duchesne	0.0669366
Moss	0.0659796
"Terrell Davis"	0.0658489
"Torry Holt"	0.0654349
"Doug Johnson"	0.0652223
WARRICK	0.0630761
"Joe Kleine"	0.0630717
"Jerry Rice"	0.0626572
"Yancey Thigpen"	0.0625356
"John Elway"	0.0624301
"Emmitt Smith"	0.0617486
"Ernie Mills"	0.0616179
Galloway	0.0608761
Toomer	0.0606126
Olajuwon	0.0603385
McDuffie	0.0598225
Sharpe	0.0589492
Dawkins	0.0588815
"Karim Abdul-Jabbar"	0.0587071
"tight end"	0.0585685
"Billy Davis"	0.0584656
"Stephen Davis"	0.0583424
"Darrell Green"	0.0580932
"Derrick Mayes"	0.0579704
"Chris Chandler"	0.0579077
"Tee Martin"	0.0576101
Lafleur	0.0573462
Dyson	0.0572312
"Tebucky Jones"	0.0569513
"Keith Byars"	0.0569074
"Larry Centers"	0.0567501
STALEY	0.0567023
"Chris Calloway"	0.0563884
"Andre Reed"	0.0562752
"Troy Aikman"	0.0561919
"Doug Flutie"	0.0558107
"Marshall Faulk"	0.0554377
Hilliard	0.0553767
"Hristo Stoichkov"	0.0552247
Irvin	0.0548528
"Marvin Harrison"	0.0546734
"Andy Katzenmoyer"	0.0546536
Mirer	0.0545709
"Jeff George"	0.0545161
Meggett	0.0544774
Jefferson	0.0542813
"Scott Zolak"	0.0542006
"Todd Collins"	0.054077
"Eugene Robinson"	0.0540599
"Garrison Hearst"	0.0538383
"Steve Young"	0.0537854
"Eddie George"	0.0537436
"Brett Favre"	0.0536807
"Scott Mitchell"	0.0536576
Simmons	0.0534512
"Ferric Collons"	0.0531568
"Erik Kramer"	0.0530834
"Jamal Lewis"	0.0526794
Leetch	0.0526533
"Peyton Manning"	0.0524397
Soward	0.0524324
"John Vanbiesbrouck"	0.0523254
"Doug Pederson"	0.0515021
Cleaves	0.0506825
"Bill Belichick"	0.05043
Hasselbeck	0.0503566
"Charlie Garner"	0.0502094
Dorsey	0.0500767
"Rocket Ismail"	0.0498292
"Warrick Dunn"	0.0494635
"Bill Parcells"	0.0494626
Laettner	0.0494292
Tverdovsky	0.0494054
"Chris Warren"	0.0493575
Samuelsson	0.0491812
Gadsden	0.049132
Hamm	0.0491246
cornerback	0.0491164
McCaffrey	0.0490418
fullback	0.0489942
"Dan Marino"	0.0489418
Brunell	0.0488639
Dilfer	0.048789
Zolak	0.0487189
"Jamal Anderson"	0.0486572
Calloway	0.0485798
"Eric Murdock"	0.0485676
downfield	0.0483779
Casserly	0.0483762
Kovalev	0.0483689
"Trent Dilfer"	0.0480469
Pickens	0.0480337
"JOHN FRIESZ"	0.04793
Hardaway	0.0476199
Sautin	0.0475549
Glover	0.0474323
"Bobby Newcombe"	0.0473578
"Leon Lett"	0.0473278
"Bryant Young"	0.0471786
Romanowski	0.0470693
"Vinny Testaverde"	0.0470198
"Greg Ellis"	0.0469732
McGinest	0.0468217
"another @-pointer"	0.0467645
"R. Jay Soward"	0.0467488
"Deion Sanders"	0.0467116
"Jere Lehtinen"	0.0463216
"Aeneas Williams"	0.0463012
"Edgerrin James"	0.0462832
Romario	0.0462326
"Jason Sehorn"	0.0461458
"Brandon Mitchell"	0.0460673
"Randy Moss"	0.0460611
"Raghib Ismail"	0.0459507
"Bruce Smith"	0.0458022
"J.J Stokes"	0.0456942
Kluivert	0.0455286
"Antonio Freeman"	0.0453062
Roenick	0.0452739
"Bill Romanowski"	0.0452579
Stumpel	0.0452325
MacInnis	0.0452069
Swann	0.0451749
Cato	0.0451582
"Jeff Blake"	0.0451256
Fassero	0.0450779
"Pete Carroll"	0.0450023
"Leon Johnson"	0.0449432
"Kevin Dyson"	0.0446868
"Frank Sanders"	0.0445483
))
("Ben Crenshaw" (desc 4273.21) (sims
"Steve Elkington"	0.230054
"Tom Kite"	0.206466
"Tom Watson"	0.201153
"Mark James"	0.200221
"Nick Faldo"	0.193608
"Lee Janzen"	0.189548
"Justin Leonard"	0.174383
"Mark O'Meara"	0.173845
"John Daly"	0.171483
"Curtis Strange"	0.169889
"Davis Love III"	0.164408
"Paul Azinger"	0.160924
"Corey Pavin"	0.159743
"Jim Furyk"	0.151715
"Fred Couples"	0.149961
"Vijay Singh"	0.149085
"Mark Calcavecchia"	0.146995
"Nick Price"	0.146092
"Bernhard Langer"	0.146087
"Jack Nicklaus"	0.143404
"Greg Norman"	0.142478
"Tom Lehman"	0.139667
"Ernie Els"	0.137286
"Craig Stadler"	0.13656
"Davis Love"	0.136258
"Billy Mayfair"	0.133798
"Steve Jones"	0.132579
"Johnny Miller"	0.127193
"Scott Hoch"	0.126401
"Jose Maria Olazabal"	0.12547
"Colin Montgomerie"	0.122694
"Seve Ballesteros"	0.120648
"Olin Browne"	0.120617
"Jay Haas"	0.117489
"Raymond Floyd"	0.114452
"Hal Sutton"	0.114118
"Paolo Maldini"	0.112863
"Hale Irwin"	0.111461
"Payne Stewart"	0.111015
"Phil Mickelson"	0.110976
"Fuzzy Zoeller"	0.109106
"Jeff Sluman"	0.108876
"Hansie Cronje"	0.107699
"David Duval"	0.103318
"Fan Zhiyi"	0.102066
"Jeff Maggert"	0.100891
"Steve Yzerman"	0.0998237
"Ian Woosnam"	0.0991142
"Steve Pate"	0.0990832
"Lee Trevino"	0.0982693
"Stuart Appleby"	0.0971247
"Larry Nelson"	0.095032
"Jesper Parnevik"	0.0942061
"Carla Overbeck"	0.089586
"HANK KUEHNE"	0.085416
"Lee Westwood"	0.0853884
"Gary Player"	0.0850013
"John Huston"	0.084318
Beckenbauer	0.0828425
"John McEnroe"	0.0820229
"Juergen Klinsmann"	0.0813
"Tiger Woods"	0.0807003
"Scott Stevens"	0.0805686
"Zvonimir Boban"	0.0800173
"Sergio Garcia"	0.0793301
"Arnold Palmer"	0.078981
"Miguel Indurain"	0.0789119
Crenshaw	0.0781547
"Alec Stewart"	0.0780903
"John Cook"	0.0775565
"Loren Roberts"	0.0769913
"Thomas Dooley"	0.0764159
"Brian Leetch"	0.0763183
Leetch	0.0743508
"Tim Herron"	0.0733818
"Craig Parry"	0.0725448
"Mark Taylor"	0.0715105
"Matt Kuchar"	0.0709566
O'Meara	0.0704943
"Lothar Matthaeus"	0.0703638
Janzen	0.0702159
"Derian Hatcher"	0.0695922
"Eddie Cheever"	0.0690911
Dunga	0.0687687
"Nancy Lopez"	0.0686437
"Bob Tway"	0.0679693
"Sun Wen"	0.0676253
"Eric Lindros"	0.0665608
Muckler	0.0660373
Biffle	0.0658326
"Kirk Triplett"	0.0655221
Ganassi	0.0654431
"Darren Clarke"	0.065401
"Stewart Cink"	0.0653803
"Rudy Tomjanovich"	0.0651071
"Julie Foudy"	0.0650628
"Carl Hooper"	0.0647843
"Peter Jacobsen"	0.0645728
"Gene Sarazen"	0.0645274
Leonard	0.0644192
Olazabal	0.0642804
"Michael Peca"	0.0637024
"Forest Camp"	0.0636501
"Derrick Adkins"	0.0634621
"Wasim Akram"	0.0632296
Nicklaus	0.0631554
"Gil Morgan"	0.0630506
Maldini	0.062034
Picard	0.0618856
"Frank de Boer"	0.0615805
"Fred Funk"	0.061535
Elkington	0.060753
"Salim Malik"	0.060104
"Ray Bourque"	0.0599709
"Billie Jean King"	0.0594043
"Se Ri Pak"	0.0592493
"War Chant"	0.058897
Bruguera	0.0587414
"David Frost"	0.058514
"Sam Snead"	0.0584405
"Didier Deschamps"	0.057723
"Fernando Vargas"	0.0573449
"Mark Messier"	0.0573133
Yzerman	0.0572032
"M. Douglas Ivester"	0.0570573
"Gheorghe Hagi"	0.0569247
"Pat Rafter"	0.0567799
Anees	0.0565498
"Laura Davies"	0.0564574
"Oliver Bierhoff"	0.0561656
"Ben Hogan"	0.0559056
"Don Zimmer"	0.0556232
Jacquet	0.0556041
"Darrell Waltrip"	0.055409
Kuchar	0.0552989
"Answer Lively"	0.055161
"Alex Zanardi"	0.0550688
"Paul Tergat"	0.0550123
Watson	0.0548597
"Regina Jacobs"	0.0544757
"Brad Faxon"	0.053896
"Scotty Bowman"	0.0538289
Solich	0.0538204
"Kenny Brack"	0.0536281
"Jim Colbert"	0.0536181
"Mark Brooks"	0.0533879
Tanui	0.0532259
"Karrie Webb"	0.0530027
Montgomerie	0.0528792
"John Harkes"	0.0525807
"Casey Martin"	0.0525477
"Billy Andrade"	0.0525092
"Alan Shearer"	0.0525086
"Paul Lawrie"	0.0522188
"Arie Luyendyk"	0.0521834
"Al Groh"	0.0520231
"Michael Johnson"	0.0519577
Cremins	0.0515413
"Brian Lara"	0.0512947
Sautin	0.0511295
Hiddink	0.0509152
"Mats Sundin"	0.0507287
Duval	0.0503264
Donnan	0.050275
Tarawneh	0.0500981
"Kong Linghui"	0.0500766
beamer	0.0500745
"Frank Nobilo"	0.0500266
Rahal	0.0500213
"Elvis Stojko"	0.0500181
"Roy Jones Jr."	0.050016
Newcombe	0.0498515
Jayakumar	0.0497855
Ribbeck	0.0496811
Luyendyk	0.0495288
"Earnhardt Jr."	0.0493847
"Winning Colors"	0.0493172
"Owen Nolan"	0.0492785
"Kevin Keegan"	0.0490781
"Bora Milutinovic"	0.0490168
"Richard Krajicek"	0.0488318
"Steve Stricker"	0.0487227
"Bruce Fleisher"	0.0486373
"Andrew Magee"	0.0486206
"Keith Tkachuk"	0.0483534
Tkachuk	0.048309
Hoddle	0.0480124
Kong	0.0477548
"Rich Brooks"	0.0477178
Bierhoff	0.0477069
Ullrich	0.0476496
"Alexei Yagudin"	0.0475197
Fleischer	0.0472589
Faldo	0.0471309
"Rob Blake"	0.0470414
Bochy	0.046876
Ferdinand	0.0467304
"High Yield"	0.0467197
Passarella	0.0466052
"Byron Nelson"	0.0464872
))
("Ben Grieve" (desc 4035.64) (sims
"Matt Stairs"	0.435198
"Eric Chavez"	0.390199
"Miguel Tejada"	0.353836
"Jason Giambi"	0.30383
"Jeremy Giambi"	0.293664
"Carlos Lee"	0.255363
"Matt Lawton"	0.246398
"Randy Velarde"	0.222504
"Eric Owens"	0.219547
"Geoff Jenkins"	0.219023
Tejada	0.217908
"Magglio Ordonez"	0.217876
"Rich Becker"	0.216526
"Jose Guillen"	0.210598
"Jason McDonald"	0.209472
"Dmitri Young"	0.206907
"John Jaha"	0.206316
Giambi	0.204768
"Mark Kotsay"	0.20393
"Terrence Long"	0.201805
"Bruce Aven"	0.201575
"Bobby Abreu"	0.199298
"Bobby Higginson"	0.19749
"Quinton McCracken"	0.197086
"Dave Martinez"	0.196611
"Preston Wilson"	0.195866
"Jermaine Dye"	0.195613
"Scott Spiezio"	0.195019
"Danny Bautista"	0.194882
"Rondell White"	0.192038
"Luis Polonia"	0.190714
"Carlos Beltran"	0.189203
"Dante Bichette"	0.18708
Rolen	0.183411
"Trot Nixon"	0.182651
"Mark Loretta"	0.182088
"Lance Berkman"	0.180294
"Brian Giles"	0.180272
"Cliff Floyd"	0.179761
"Juan Encarnacion"	0.177531
"Richard Hidalgo"	0.176886
"Jon Nunnally"	0.176448
"Stan Javier"	0.176446
"Damian Miller"	0.175792
"Rob Ducey"	0.175479
"John Vander Wal"	0.175235
"Pat Burrell"	0.175069
"Ron Gant"	0.174825
"Tony Phillips"	0.174409
"Michael Tucker"	0.173712
"Matt Franco"	0.172688
"Matt Luke"	0.172406
"Brant Brown"	0.172261
"Luis Gonzalez"	0.172001
"Derrek Lee"	0.171415
Vidro	0.169856
"Gabe Kapler"	0.169753
"Troy O'Leary"	0.169753
"B.J Surhoff"	0.168432
"Orlando Palmeiro"	0.167853
"Phil Nevin"	0.166262
"Marty Cordova"	0.16615
"Neifi Perez"	0.165586
"Bengie Molina"	0.165525
"Jay Payton"	0.16549
"Doug Glanville"	0.165372
Sexson	0.164175
"Raul Ibanez"	0.163743
"Jay Buhner"	0.16294
"Vladimir Guerrero"	0.162505
Lankford	0.162002
"Bubba Trammell"	0.161653
"Shawn Green"	0.161579
Fullmer	0.161303
Aurilia	0.160998
"Henry Rodriguez"	0.160552
"Marvin Benard"	0.160495
"Derek Bell"	0.160304
"Warren Morris"	0.160124
"Rico Brogna"	0.159433
"Ricky Ledee"	0.158985
"Rickey Henderson"	0.158905
Cirillo	0.158862
"David Dellucci"	0.15878
"Travis Lee"	0.158759
"Johnny Damon"	0.158572
"Darren Bragg"	0.158566
"Gary Sheffield"	0.158486
"Chris Widger"	0.157955
"Ellis Burks"	0.157759
"Jeromy Burnitz"	0.157641
Beltran	0.156866
"Bill Spiers"	0.156715
"Richie Sexson"	0.156533
"Butch Huskey"	0.155885
"Deivi Cruz"	0.155861
"Reggie Sanders"	0.155729
"Benny Agbayani"	0.154595
"J.D Drew"	0.154468
"Ray Durham"	0.154214
"Tim Salmon"	0.15417
McGriff	0.153662
"Kevin Young"	0.153645
"Karim Garcia"	0.153555
"Daryle Ward"	0.153198
"Jeff Kent"	0.152748
"Paul Konerko"	0.152705
"Glenallen Hill"	0.152257
"Ruben Rivera"	0.152178
"Andruw Jones"	0.150773
Abreu	0.150227
"Ron Coomer"	0.150171
Bichette	0.149716
grieve	0.149618
"Bill Mueller"	0.148023
"Moises Alou"	0.147657
"Damian Jackson"	0.147395
"Cristian Guzman"	0.147087
"Chad Curtis"	0.146906
"Jeffrey Hammonds"	0.146786
"Corey Koskie"	0.146783
"Scott Rolen"	0.146446
"Einar Diaz"	0.146135
"Jose Cruz Jr."	0.145306
"Gerald Williams"	0.145267
"Todd Helton"	0.144302
"Travis Fryman"	0.144295
"Darin Erstad"	0.144148
"Ed Sprague"	0.143697
"Jeff Conine"	0.143646
"Peter Bergeron"	0.143624
"Ray Lankford"	0.142801
"Wil Cordero"	0.142771
"Jose Vidro"	0.142645
"Garret Anderson"	0.142336
"Lenny Harris"	0.141723
"Rich Aurilia"	0.141613
"Tom Goodwin"	0.140632
"Marquis Grissom"	0.140488
"Al Martin"	0.14039
"Troy Glaus"	0.139881
"Ryan Klesko"	0.139819
"Mark McLemore"	0.139289
"Mike Sweeney"	0.13871
"John Mabry"	0.137831
"Lee Stevens"	0.137764
"Tony Batista"	0.137741
"Jay Bell"	0.1371
"Larry Walker"	0.137085
"Brady Anderson"	0.136648
"Rusty Greer"	0.136301
Velarde	0.135795
"Matt Mieske"	0.135762
"Brian Hunter"	0.135602
"Gregg Jefferies"	0.135282
"Manny Ramirez"	0.134939
"Darren Lewis"	0.134483
"Adam Kennedy"	0.134197
"Mike Simms"	0.134043
Higginson	0.133993
Nevin	0.133811
Spiers	0.133711
"Jason Varitek"	0.133163
"Shannon Stewart"	0.133023
"Tony Eusebio"	0.132377
Castilla	0.132356
"Luis Alicea"	0.132148
Randa	0.132124
"Trenidad Hubbard"	0.132109
Burnitz	0.132001
"Melvin Mora"	0.131911
"Paul O'Neill"	0.131873
"Brian Jordan"	0.131808
"Mike Lieberthal"	0.131545
"Fred McGriff"	0.131402
"Roger Cedeno"	0.131149
Saenz	0.130615
"Steve Finley"	0.129391
"Carlos Delgado"	0.129254
"Kelly Stinnett"	0.129004
"Alex Gonzalez"	0.128628
"Brian Daubach"	0.128586
Olerud	0.127712
"Eddie Taubensee"	0.127577
"Darryl Hamilton"	0.127451
"Tino Martinez"	0.127404
"Joe Randa"	0.127145
"Russ Johnson"	0.127047
"Albert Belle"	0.126682
"Mike Cameron"	0.126349
"J.T Snow"	0.125433
"David Bell"	0.125382
"Todd Hollandsworth"	0.125366
"Dean Palmer"	0.125273
"Wally Joyner"	0.125198
"Bernard Gilkey"	0.12513
"Mike Stanley"	0.125121
"Jose Valentin"	0.124676
"Eric Karros"	0.124607
"David Ortiz"	0.124294
Lieberthal	0.124223
"Todd Walker"	0.12388
Alfonzo	0.123857
"Jeff Bagwell"	0.123589
"Todd Pratt"	0.123411
"Frank Thomas"	0.123082
"Barry Bonds"	0.12295
Bordick	0.122765
Glaus	0.122678
"Todd Greene"	0.122357
Burks	0.12235
"Luis Castillo"	0.122227
"Edgardo Alfonzo"	0.122205
"Jose Hernandez"	0.122031
Bautista	0.121297
"Tony Gwynn"	0.121266
"Tony Womack"	0.120563
"Adrian Beltre"	0.120563
"Kenny Lofton"	0.120326
"Brook Fordyce"	0.120104
"Tim Bogar"	0.119973
"Damon Buford"	0.119805
"Javy Lopez"	0.1195
Batista	0.119469
"Mike Bordick"	0.119401
"Charlie Hayes"	0.1184
Ordonez	0.118258
"Shane Spencer"	0.11817
"Mark Grudzielanek"	0.118067
"Brad Fullmer"	0.117618
"John Valentin"	0.117485
"Scott Hatteberg"	0.117385
"Roberto Kelly"	0.117205
Veras	0.117122
"Scott Brosius"	0.117023
"Chipper Jones"	0.116998
"Devon White"	0.116868
"Joe McEwing"	0.116612
"Paul Bako"	0.116512
"Nomar Garciaparra"	0.116393
"Greg Vaughn"	0.116279
"Kevin Jordan"	0.11603
"Ken Caminiti"	0.115955
"Bobby Estalella"	0.115825
"Midre Cummings"	0.115725
Biggio	0.115641
"John Olerud"	0.115616
"Rafael Palmeiro"	0.115202
"Sean Casey"	0.115165
"Mark Grace"	0.115027
"Quilvio Veras"	0.114908
Javier	0.114495
"Jorge Posada"	0.114334
"Roberto Alomar"	0.113961
Daubach	0.113854
"Eric Davis"	0.113738
"Pat Meares"	0.113608
"Mike Lamb"	0.113234
"Matt Williams"	0.113228
"Jim Edmonds"	0.1132
"Jeff Cirillo"	0.113178
"Tim Hudson"	0.113081
"Mickey Morandini"	0.113063
"Joe Girardi"	0.112974
"Carl Everett"	0.112951
"Jose Offerman"	0.112204
Karros	0.111897
"Jose Canseco"	0.111856
"Edgar Martinez"	0.11155
"Ricky Gutierrez"	0.111522
"Todd Zeile"	0.111505
"Bernie Williams"	0.111179
"GERONIMO BERROA"	0.111128
"Clay Bellinger"	0.110718
"Rafael Furcal"	0.110548
"Robin Ventura"	0.110401
"Joe Carter"	0.110312
"Desi Relaford"	0.110305
"Luis Lopez"	0.110167
Tatis	0.109924
"Enrique Wilson"	0.109798
Trammell	0.109774
"Chili Davis"	0.109537
"Edgar Renteria"	0.109508
Erstad	0.109426
Glanville	0.109353
"Lance Johnson"	0.109174
"Alex Rodriguez"	0.108864
"Derek Jeter"	0.108555
Gant	0.108526
"Raul Mondesi"	0.10836
Dunston	0.108314
Frye	0.108139
"Jim Thome"	0.108103
"Chad Kreuter"	0.107848
"Brian McRae"	0.107788
Bagwell	0.107687
"Miguel Cairo"	0.107401
"Otis Nixon"	0.107312
"Vinny Castilla"	0.106931
"Juan Gonzalez"	0.106801
"Royce Clayton"	0.106769
"Erubiel Durazo"	0.106702
"Mike Lowell"	0.105843
"Tony Graffanino"	0.105691
"F.P Santangelo"	0.10556
"Ken Griffey Jr."	0.105431
Helton	0.105214
DeShields	0.105107
Renteria	0.105074
Palmeiro	0.104769
"Craig Biggio"	0.104699
"Keith Lockhart"	0.104589
Lawton	0.104486
"Brian Johnson"	0.104348
"Willie Greene"	0.104104
"Kirk Gibson"	0.104081
"Dave Hansen"	0.103483
Elster	0.103434
Konerko	0.103261
"Mitch Meluskey"	0.1031
"Tony Clark"	0.103014
"Todd Hundley"	0.102905
"Tim Raines"	0.102747
"Harold Baines"	0.102295
Garciaparra	0.101954
Hollins	0.101678
"David Segui"	0.101514
"Brent Mayne"	0.101258
"Ivan Rodriguez"	0.100846
"Kurt Abbott"	0.100286
Varitek	0.100196
"Andres Galarraga"	0.100101
))
("Ben Hogan" (desc 6884.56) (sims
"Sam Snead"	0.351006
"Byron Nelson"	0.320851
"Gene Sarazen"	0.294792
"Arnold Palmer"	0.255393
"Jack Nicklaus"	0.246931
"Tom Watson"	0.229062
"Gary Player"	0.220565
hogan	0.189382
"Lee Trevino"	0.177869
"Raymond Floyd"	0.163084
"Bobby Jones"	0.16079
Nicklaus	0.13598
"Nancy Lopez"	0.126745
"Hale Irwin"	0.12346
"Johnny Miller"	0.119941
"Bjorn Borg"	0.109137
"Tiger Woods"	0.10232
"Roger Maris"	0.098366
"Mark O'Meara"	0.0970856
"Dave Stockton"	0.0936919
"David Duval"	0.0922468
"Babe Ruth"	0.0897047
"Greg Norman"	0.0896408
"Martina Navratilova"	0.0890254
"Vijay Singh"	0.0890086
"John Daly"	0.088717
Janzen	0.0878276
"Mark Brooks"	0.0873038
"Nick Faldo"	0.0854641
Sarazen	0.0835164
"Billie Jean King"	0.0818438
"Juli Inkster"	0.0818371
"Nick Price"	0.0816598
"Gil Morgan"	0.0812303
"Lee Janzen"	0.0805345
"John Wooden"	0.080304
Palmer	0.0784397
"Hack Wilson"	0.0780393
"Ted Williams"	0.0778595
"Doak Walker"	0.0759634
"Miguel Indurain"	0.0758328
"Roy Emerson"	0.0750814
"Ivan Lendl"	0.0747554
Duval	0.0745448
"Rod Laver"	0.0745056
"Winning Colors"	0.073777
"Payne Stewart"	0.0733875
"Willie Mays"	0.0729834
"Ernie Els"	0.0723912
Morceli	0.0723526
"Phil Mickelson"	0.0720759
"Seve Ballesteros"	0.0717987
"Se Ri Pak"	0.0700128
Mickelson	0.0698625
"Richard Petty"	0.0694363
Heyns	0.0687346
"Annika Sorenstam"	0.0673178
O'Meara	0.0670245
"A.J Foyt"	0.0664245
Snead	0.0662405
"Matt Kuchar"	0.0659373
Pele	0.0657388
"Alberto Tomba"	0.0652741
"Wang Junxia"	0.0652
"Larry Nelson"	0.0651871
"Hal Sutton"	0.0650777
"Curtis Strange"	0.0648991
"Joe DiMaggio"	0.0648373
"Jose Maria Olazabal"	0.0645297
"Dean Smith"	0.0644429
Woods	0.0639012
"Fred Couples"	0.0632919
Yagudin	0.0629923
"Carl Lewis"	0.0628776
Irwin	0.0621915
Singh	0.0618082
"Chris Evert"	0.0617859
"Karrie Webb"	0.0614508
Cipollini	0.0613239
Tanganyika	0.0611849
"Lee Westwood"	0.0610773
"Larry Mize"	0.0610058
"Bernhard Langer"	0.0608631
"Walter Payton"	0.0608176
Longo	0.0605222
"Justin Leonard"	0.0603457
"Gordie Howe"	0.060187
"Jesse Owens"	0.0596966
Sorenstam	0.0593524
"Paul Azinger"	0.0586868
Pak	0.0585371
"John McEnroe"	0.0581893
Norman	0.0579255
"Sam Houston"	0.0578518
"Tom Kite"	0.0577635
"Bill Shoemaker"	0.05763
"Noureddine Morceli"	0.0575129
Watson	0.0574254
"Michael Jordan"	0.0572089
Faldo	0.0570842
"Hank Aaron"	0.0570815
Nelson	0.0569108
"Muhammad Ali"	0.0565404
"Alexander Popov"	0.0563956
Ruth	0.056105
"Tito Puente"	0.0560843
Popov	0.0560393
"Wilt Chamberlain"	0.0559369
"Bob Bullock"	0.0559319
"Ben Crenshaw"	0.0559056
"Jenny Chuasiriporn"	0.0558267
"Bill Elliott"	0.0554557
"Meg Mallon"	0.0553911
"Sergio Garcia"	0.0553845
"Colin Montgomerie"	0.0549984
Maggert	0.054658
"Larry Bird"	0.0544941
"Lou Gehrig"	0.054432
"Jeff Gordon"	0.0542674
"Robert F. Kennedy"	0.0539634
"Steffi Graf"	0.0538602
"Jackie Robinson"	0.0538458
Waldner	0.0532657
Sainz	0.0530833
"John Connally"	0.0527769
"Jeff Burton"	0.052771
"Tar Heels"	0.0527038
Inkster	0.0525607
"Peter Jacobsen"	0.0523357
Enqvist	0.0519063
"Rajiv Gandhi"	0.0518708
"Jorgen Persson"	0.051869
"Laura Davies"	0.0517183
"Tom Lehman"	0.0516143
Laver	0.051493
"Brian Watts"	0.0512739
"Ricky Williams"	0.0511678
"Tammy Wynette"	0.0510488
Cornhusker	0.0510086
"Rusty Wallace"	0.050995
Lindland	0.0509334
"Steve Elkington"	0.0509269
"two pitchers"	0.0509034
"PGA Championships"	0.0507404
Gremio	0.050554
Stewart	0.0505495
Kuchar	0.0505101
BEGAY	0.0504502
Nicol	0.0503472
"Pete Sampras"	0.0502537
Moya	0.0502245
Pantani	0.0501291
"Banshee Breeze"	0.0501285
"Andre Agassi"	0.0501017
"Greg Maddux"	0.0499729
Foyt	0.0498557
Pippig	0.0497878
"Hideo Nomo"	0.0497485
"Montreal Canadiens"	0.0496929
"Mickey Mantle"	0.0494468
"Mark Calcavecchia"	0.0491374
"Blaine Wilson"	0.0490171
"Bobby Labonte"	0.0489476
"Wayne Gretzky"	0.0488272
"Real Quiet"	0.048781
"Griffith Joyner"	0.0486855
"Jan-Ove Waldner"	0.0486646
Sampras	0.0484923
Kafelnikov	0.0484057
Parnevik	0.0483504
"Ty Cobb"	0.0480974
"Corey Pavin"	0.048007
"Ferdinand Marcos"	0.0478019
Andretti	0.0476147
Marichal	0.047468
"Fusaichi Pegasus"	0.0474328
"Lyndon Johnson"	0.0470475
Landry	0.0468535
Summitt	0.0468192
"Johan Cruyff"	0.0467283
"Lance Armstrong"	0.0467111
"Paul Tsongas"	0.0467093
"Sidney Poitier"	0.0464065
"Mario Lemieux"	0.0463783
"Mario Andretti"	0.0463685
Klim	0.0462136
"Rick Reed"	0.0461285
"Franz Beckenbauer"	0.0460166
"Roberto Clemente"	0.0459993
Maris	0.0459977
Montgomerie	0.0459342
"Martina Hingis"	0.0458879
Luyendyk	0.0457782
Aoki	0.0457323
Kjus	0.0456053
Navratilova	0.0455102
"Donovan Bailey"	0.0454522
Azinger	0.0454521
Safin	0.0454414
Aaron	0.0453809
))
("Ben Johnson" (desc 3668.74) (sims
"Jesse Owens"	0.175291
"Dennis Mitchell"	0.175072
"Linford Christie"	0.158493
"Doug Walker"	0.13523
Ottey	0.122426
"Koji Ito"	0.12017
"Florence Griffith Joyner"	0.115042
"Michael Johnson"	0.112606
"Irina Privalova"	0.111963
"Susanthika Jayasinghe"	0.111957
Sotomayor	0.104013
"Javier Sotomayor"	0.103851
"Donovan Bailey"	0.103074
"Ato Boldon"	0.101478
Slaney	0.096178
Clinton-Lewinsky	0.0958468
Jayasinghe	0.095344
"Maurice Greene"	0.0951689
"Marion Jones"	0.0937667
"Li Xuemei"	0.0934455
"De Bruin"	0.0932168
"Merlene Ottey"	0.0931408
"Mark Tuinei"	0.0920123
"Tom Steels"	0.0900604
Artax	0.0881169
"Randy Barnes"	0.0877932
"Frankie Fredericks"	0.0872676
"Bruny Surin"	0.0867898
"Christine Arron"	0.0847809
"Gail Devers"	0.0841458
"Jackie Joyner-Kersee"	0.0832344
"Alexander Popov"	0.0820779
"Sergei Bubka"	0.0790653
"Mario Cipollini"	0.0783644
"Carl Lewis"	0.0767301
Baumann	0.0757828
"Marie-Jose Perec"	0.0753794
"Jon Drummond"	0.0753006
"Mary Slaney"	0.0744536
sprinter	0.0744188
"Maria Mutola"	0.0735681
"Erik Zabel"	0.073251
Raducan	0.0730464
Pippig	0.0726332
"Cathy Freeman"	0.0721709
"Gary Hall Jr."	0.0715507
Korda	0.0707785
"Derrick Adkins"	0.0690687
Fredericks	0.0684965
Festina	0.0684045
"Andreea Raducan"	0.0683413
Zabel	0.0672888
"Hiroyasu Shimizu"	0.0667147
stanozolol	0.0661127
weightlifter	0.0660244
"Angelo Taylor"	0.0653807
lifter	0.0622082
Iran-contra	0.060415
"Michelle Smith"	0.060117
Christie	0.0583349
Cipollini	0.0583137
"Tom Dolan"	0.058116
"Diego Maradona"	0.057657
Bronson	0.0575598
"Mark Richardson"	0.0572008
Akinwande	0.0557111
"Inger Miller"	0.0547611
"Inge de Bruijn"	0.0545364
"Orlando Brown"	0.0535828
"Petr Korda"	0.0530211
"Bank Bali"	0.0516662
"Bernard Barmasai"	0.0511491
Boldon	0.0507405
"Flozell Adams"	0.0506528
Maradona	0.0500511
"Denis Pankratov"	0.0499565
"Jumbo Elliott"	0.0498874
medallist	0.0497574
"Jenny Thompson"	0.0493631
oilmen	0.0491952
"Jason Fabini"	0.048592
"Irina Slutskaya"	0.0481983
"Grant Hackett"	0.0478855
"C.J Hunter"	0.0478462
"Marcus Outzen"	0.0478081
Bucaram	0.0468528
Lindland	0.0468473
"Nate Newton"	0.0468232
"Larry Allen"	0.0467499
"Erik Williams"	0.0461988
"Lin Li"	0.0461836
"John Cleese"	0.0461826
"Leon Lett"	0.0461758
"Damon Hill"	0.0459322
"shot putter"	0.0455019
Pantani	0.0452916
"Lomas Brown"	0.0452164
"Gianni Romme"	0.0451851
"Tegla Loroupe"	0.0450346
Weah	0.0449632
Tuinei	0.0447293
"Heike Drechsler"	0.0444739
Dreyfus	0.0444436
"Wang Junxia"	0.0441628
Bhutto	0.0441034
"Amy van Dyken"	0.0439814
Echegaray	0.0435406
diuretic	0.0434641
"Alberto Tomba"	0.0431843
"Steffi Graf"	0.043011
"Anjelika Krylova"	0.0429622
"Perez Balladares"	0.0429423
"Elvis Stojko"	0.0428966
"John Randle"	0.0428753
"Salt Lake"	0.0427268
"Chad Hennings"	0.0424467
"Oksana Kazakova"	0.042417
"Alonzo Spellman"	0.0423557
"Hicham El Guerrouj"	0.0423359
"John Tait"	0.0423355
"Haile Gebrselassie"	0.0420928
"Tony Hutson"	0.0418425
"Brian Moehler"	0.0418423
"Pete Holland"	0.0418384
Ito	0.0418086
Szabo	0.0417625
"Ricky Subagja"	0.041709
"David Beckham"	0.0415821
"Katarina Witt"	0.0413599
"Henry Akinwande"	0.0412844
"Martina Navratilova"	0.0412574
"Everett McIver"	0.0411041
"Li Jiajun"	0.0409653
"Greg Moore"	0.0409267
"Svetlana Masterkova"	0.0408978
"Dara Torres"	0.040841
"Maria Butyrskaya"	0.0408203
"L.J Shelton"	0.0407397
FloJo	0.0407264
Whitaker	0.0406644
"Elena Berezhnaya"	0.0404122
Takanohana	0.0403872
Geiger	0.0401623
"Mike Martz"	0.0400939
))
("Ben Nighthorse Campbell" (desc 2746.48) (sims
"Wayne Allard"	0.316709
"Bill Owens"	0.19313
"Olympia Snowe"	0.177864
"Olympia J. Snowe"	0.175221
"Roy Romer"	0.169478
"Pat Roberts"	0.167006
"Kit Bond"	0.165938
"Don Nickles"	0.164846
"Phil Gramm"	0.155305
"Jon Kyl"	0.153999
"James Jeffords"	0.149092
"Sam Brownback"	0.148612
"Frank Murkowski"	0.148602
"Conrad Burns"	0.148576
"Rick Santorum"	0.142667
"Fred Thompson"	0.140663
"Richard Shelby"	0.13996
"John Ashcroft"	0.139924
"Bill Frist"	0.139759
"Ted Stevens"	0.135935
"Susan Collins"	0.135404
"Mitch McConnell"	0.1351
"Bob Graham"	0.134513
"Pete Domenici"	0.131529
"Robert Bennett"	0.130538
"Slade Gorton"	0.130487
"Judd Gregg"	0.128421
"Ron Wyden"	0.127974
"Arlen Specter"	0.127317
"Connie Mack"	0.127298
"Chuck Hagel"	0.126454
"John Chafee"	0.123878
"Paul Coverdell"	0.121706
"Rod Grams"	0.119334
"Richard Bryan"	0.119003
"Richard Lugar"	0.115375
"Russ Feingold"	0.115226
"Jim Bunning"	0.115205
"Lincoln Chafee"	0.115026
"John Breaux"	0.113773
"Spencer Abraham"	0.113424
"Kay Bailey Hutchison"	0.112713
"Larry Craig"	0.112623
"Peter Fitzgerald"	0.112448
"Tom Harkin"	0.111884
"John Danforth"	0.111175
"Gordon Smith"	0.111145
"Max Baucus"	0.110852
"Thad Cochran"	0.108584
"George Voinovich"	0.108397
"Byron Dorgan"	0.108328
"Herb Kohl"	0.10773
"Warren Rudman"	0.107164
"Dan Coats"	0.106741
"Dianne Feinstein"	0.106731
"Jeff Sessions"	0.106265
"Robert Torricelli"	0.105994
"Strom Thurmond"	0.105598
"Harry Reid"	0.105466
"Sam Nunn"	0.105144
"Patty Murray"	0.104025
"Joseph I. Lieberman"	0.10366
"Charles Grassley"	0.100524
"Dick Durbin"	0.0998192
"Orrin Hatch"	0.0995629
"Charles Robb"	0.0980994
"Russell Feingold"	0.0970783
"Bob Smith"	0.0965168
"Craig Thomas"	0.0958636
"Paul Wellstone"	0.0950881
"Charles Schumer"	0.095047
"Frank Lautenberg"	0.0945015
"Mike DeWine"	0.0943324
"Ernest Hollings"	0.0938167
"Kent Conrad"	0.0915547
"Gary Hart"	0.0899723
"Jesse Helms"	0.0882819
"Charles E. Schumer"	0.088269
"Barbara Mikulski"	0.0882132
"John Warner"	0.0880115
"Daniel Patrick Moynihan"	0.087783
"Barbara Boxer"	0.0876862
"Patrick Leahy"	0.0873463
"Bob Kerrey"	0.0868144
"William Roth"	0.0864073
"John Kerry"	0.0859515
"Tim Hutchinson"	0.0856235
"Joseph Biden"	0.0838442
"Max Cleland"	0.0830706
"Robert C. Byrd"	0.08305
"Jim Nicholson"	0.0819864
"James Inhofe"	0.0817233
R-Ariz.	0.0816159
"Marc Racicot"	0.0807395
"Richard Durbin"	0.0791296
"Jim Jeffords"	0.0787694
R-Colo.	0.0784964
"Lauch Faircloth"	0.078352
"Christopher Dodd"	0.077837
"Matt Salmon"	0.077645
"Tom Daschle"	0.0775962
"Don Young"	0.0771522
R-Alaska	0.0769583
"Howard Baker"	0.076594
"John Engler"	0.0763892
"Blanche Lincoln"	0.0752314
"Carl Levin"	0.0748898
"Lamar Smith"	0.0747347
"Edward M. Kennedy"	0.0745936
R-N.H.	0.0744002
"Arizona Republican"	0.0741477
"Mary Landrieu"	0.0735474
"Edward Kennedy"	0.0732095
"George Nethercutt"	0.07254
"George Mitchell"	0.0723099
"Christine Todd Whitman"	0.0719894
D-Iowa	0.0711691
"Frank Keating"	0.0711496
"Gary Johnson"	0.0709868
R-Ala.	0.0708726
R-Texas	0.0703458
"Bill McCollum"	0.0691183
"Robert Byrd"	0.0683763
R-Utah	0.0680577
Gramm	0.0664507
"John Boehner"	0.0658743
"Evan Bayh"	0.0658042
"Ted Kennedy"	0.0654764
"Dale Bumpers"	0.0645488
"Tom Hayden"	0.0638469
"Gerald Levin"	0.0630148
"J.C. Watts"	0.062778
"Bob Taft"	0.0627518
"Alfonse D'Amato"	0.0620731
"Martin Frost"	0.0619487
"Mark Foley"	0.061881
Inhofe	0.0618664
"Illinois Republican"	0.0617341
"Jack Gargan"	0.0616751
"Arthur Levitt"	0.0607367
Ashcroft	0.0604525
R-Iowa	0.0604004
"Joe Lieberman"	0.0600174
Helms	0.0594233
D-Conn.	0.0594029
R-Del.	0.0586658
"Paul Simon"	0.0575502
"John Edwards"	0.0574986
"Jim Kolbe"	0.0574402
"John Kasich"	0.05735
"Trent Lott"	0.0570003
"Billy Tauzin"	0.0569993
"Tom Ridge"	0.05695
D-S.C.	0.0567485
"Tom Campbell"	0.0567245
"Benjamin Gilman"	0.0567107
D-Mass.	0.0566833
"Joseph Lieberman"	0.0565438
"Martin Meehan"	0.0561495
"Zoe Lofgren"	0.056121
"John D. Rockefeller"	0.0559939
D-Vt.	0.0554774
"Robert Smith"	0.0553981
"Bill Archer"	0.054991
"Tommy Thompson"	0.0549728
"Mark Sanford"	0.0546268
R-N.M.	0.0545883
"John Rowland"	0.0544235
"Dan Burton"	0.0543027
R-N.C.	0.0540745
"Porter Goss"	0.0539639
"Robert F. Kennedy"	0.0533857
"Barry Goldwater"	0.0533295
"Defense William Cohen"	0.0526003
"Norm Dicks"	0.0525476
R-Pa.	0.0524969
"Carol Moseley-Braun"	0.0522542
"Tony Coelho"	0.0521397
"Charles Rangel"	0.0519868
"Paul Tsongas"	0.0515557
"Archbishop Desmond Tutu"	0.0509967
R-Fla.	0.0509372
"Nur Misuari"	0.0507051
"John Linder"	0.0506642
"Lloyd Bentsen"	0.050651
"Jim Gilmore"	0.0501174
"Jennifer Dunn"	0.0499635
"Lindsey Graham"	0.0499552
"Tim Johnson"	0.0497739
Snowe	0.0496671
R-Mo.	0.0494411
Lugar	0.0492976
"John Conyers"	0.0490008
"Jim Leach"	0.0489098
Dodik	0.0488271
R-Va.	0.0487163
R-Ohio	0.048345
D-Calif.	0.0482008
"Lloyd Doggett"	0.0480478
"John Cornyn"	0.0478992
))
("Ben Olsen" (desc 1431.34) (sims
"Eddie Pope"	0.370235
"Marco Etcheverry"	0.258274
"John Harkes"	0.249239
"Jeff Agoos"	0.19413
"Eddie Lewis"	0.18151
"Roy Lassiter"	0.181414
"Joe-Max Moore"	0.176591
"Ante Razov"	0.176008
"Cobi Jones"	0.175318
"Brian McBride"	0.168897
"Tab Ramos"	0.165418
"Claudio Reyna"	0.16283
"Frankie Hejduk"	0.157245
"Robin Fraser"	0.157094
"Marcelo Balboa"	0.145327
"Alexi Lalas"	0.142211
"Raul Diaz Arce"	0.118395
"Harry Kewell"	0.113985
Jair	0.112843
"Carlos Valderrama"	0.110287
"Mauricio Cienfuegos"	0.107172
Preki	0.106914
Welton	0.102316
"Roy Keane"	0.0977227
"Thomas Haessler"	0.0976578
"Mauricio Ramos"	0.0973195
"Dejan Savicevic"	0.0963709
"Nwankwo Kanu"	0.0956563
"Andreas Moeller"	0.094702
"Andy Williams"	0.0937985
"Hidetoshi Nakata"	0.0937834
"Paul Scholes"	0.0931872
Bergkamp	0.0917159
Scholes	0.09102
"Luigi Di Biagio"	0.0883721
Sissi	0.0883356
"Dejan Stankovic"	0.0880066
"Phillip Cocu"	0.086875
"Robert Jarni"	0.0865685
"Shannon MacMillan"	0.0855783
"Clarence Seedorf"	0.0843462
"Kristine Lilly"	0.0830406
"Clint Mathis"	0.0828953
"Robert Prosinecki"	0.0823216
"Luis Figo"	0.0819834
"Robert Pires"	0.0804673
"Gheorghe Hagi"	0.0797401
"Paul Caligiuri"	0.0797157
"Leonel Alvarez"	0.0795675
Beckham	0.0786646
"Khodadad Azizi"	0.0783188
Juninho	0.0779615
"Steve McManaman"	0.0778373
"Alexei Kovalev"	0.0755073
"Julie Foudy"	0.0751767
"Tamika Catchings"	0.0751114
"John Collins"	0.0741717
"Michael Laudrup"	0.073809
"Carlos Hermosillo"	0.0727805
"Paul Merson"	0.0726709
"Edgar Davids"	0.0714606
"Mario Stanic"	0.0709426
Wynalda	0.0708272
"Emmanuel Petit"	0.0702679
"Paolo Di Canio"	0.0701499
"Diego Simeone"	0.069841
"Hao Haidong"	0.0694634
"Cesar Sampaio"	0.0692238
"Thomas Dooley"	0.0692121
"Paul Ince"	0.0689023
"Ronald de Boer"	0.0677487
"Mike Burns"	0.0671998
Djorkaeff	0.066663
"Othella Harrington"	0.0659816
"Peter Bondra"	0.0654329
Rivaldo	0.0653938
"David Beckham"	0.0653648
"Chris Gatling"	0.0653367
"Donyell Marshall"	0.0648014
"Zvonimir Boban"	0.0644264
"Predrag Mijatovic"	0.0640967
"Doug Weight"	0.0640357
"Marc Overmars"	0.0637944
"Chris Klein"	0.0636915
"Ariel Ortega"	0.0636376
"Corliss Williamson"	0.0621611
Reyna	0.0617912
"Fan Zhiyi"	0.0609366
Harkes	0.0608939
"Eric Wynalda"	0.0606623
"Andy Cole"	0.0603272
Hendrickson	0.0601063
Pu	0.0598144
"Kendall Gill"	0.0598068
Yorke	0.0595732
"Michael Wright"	0.0592156
"Ole Gunnar Solskjaer"	0.0590385
Nailon	0.0588504
"Raul Gonzalez"	0.0587408
"Youri Djorkaeff"	0.0587
Etcheverry	0.0586516
"Niklas Sundstrom"	0.0584303
"Fernando Hierro"	0.0582077
Dougherty	0.0580586
"Christian Karembeu"	0.0577453
"Gabe Muoneke"	0.0577354
"Lamond Murray"	0.0574604
"Enrico Chiesa"	0.0574104
"Dwight Yorke"	0.0569758
"Tiffeny Milbrett"	0.0566699
"Dino Baggio"	0.0563769
"Alan Henderson"	0.0562232
Hagi	0.0561846
"Ali Daei"	0.0558473
Andreychuk	0.0557407
"Sun Wen"	0.0556796
"Michelle Akers"	0.0554841
Reichel	0.0554411
"Theo Ratliff"	0.0553351
"Patrik Elias"	0.0551047
Sundin	0.0550489
"Stern John"	0.05501
Leonardo	0.0547278
"Brian Laudrup"	0.0544741
Zidane	0.054111
"Mia Hamm"	0.0540372
"Rodney Rogers"	0.0536429
"Geoff Sanderson"	0.0536249
"Ryan Giggs"	0.0532852
"FC Porto"	0.0532376
"Raef LaFrentz"	0.0532177
Randa	0.0531861
"Hu Weidong"	0.0526675
Felipe	0.052293
"Paul Gascoigne"	0.0521724
"Teddy Sheringham"	0.0520752
"Jamal Mashburn"	0.0515629
Vialli	0.0515511
"Alan Shearer"	0.0514676
"Gary Roberts"	0.0513641
Abdur-Rahim	0.0511209
"Jerry Stackhouse"	0.050898
"Brian Scalabrine"	0.050667
Mashburn	0.0505794
"Ziggy Palffy"	0.0504388
"Rasheed Wallace"	0.0503262
Trepagnier	0.0503076
Kluivert	0.0501783
Saunders	0.050175
Denilson	0.0497931
"Glenn Robinson"	0.0496545
"Glen Murray"	0.0494985
"Roberto Baggio"	0.049445
Batistuta	0.0494271
"Kenyon Martin"	0.0493782
"Grant Long"	0.0493584
"Didier Deschamps"	0.0492894
"David Trezeguet"	0.0492281
"Patrick Kluivert"	0.0492237
Baggio	0.049194
"Sol Campbell"	0.0490669
"Robbie Fowler"	0.0485022
Silas	0.0483158
Zamorano	0.048209
Sampaio	0.0481331
Spiers	0.0479095
"Patrick Vieira"	0.0477239
"Kevin Freeman"	0.0476962
"Joe Juneau"	0.0476892
"Rick Tocchet"	0.0475837
"Chamique Holdsclaw"	0.0475829
Tejada	0.0475816
Alicea	0.0473376
"Faustino Asprilla"	0.0472257
"Shawn Marion"	0.0471839
"Zinedine Zidane"	0.0471795
"Tyrone Nesby"	0.0471626
Nevin	0.0467872
"Travis Best"	0.0467698
"Jason Arnott"	0.0465169
Turgeon	0.0463907
"Derrick Coleman"	0.0462625
"Cedric Ceballos"	0.0460533
Vieri	0.046033
Serna	0.0457669
"Bill Guerin"	0.0456593
"Cliff Ronning"	0.0456497
"Darrell Armstrong"	0.0456095
Suker	0.045482
"Greg Adams"	0.045461
"Jarvis Turner"	0.0454164
Edmundo	0.0453483
"Tom Presthus"	0.045294
"Mark Madsen"	0.0452759
"Mike Dunleavy"	0.0452623
"Kurt Abbott"	0.0450106
"Danny Manning"	0.0448179
Stackhouse	0.0447986
"Fernando Vina"	0.0446891
"Dale Davis"	0.0446561
))
("Ben Stiller" (desc 5827.17) (sims
"Jamie Foxx"	0.135513
"Cameron Diaz"	0.117798
"John Cusack"	0.1169
"Matt Damon"	0.111068
"John Malkovich"	0.110173
"Christian Slater"	0.1057
"Ben Affleck"	0.102944
"David Spade"	0.098539
"Geoffrey Rush"	0.0978279
"Joan Allen"	0.0962281
"Gwyneth Paltrow"	0.0954323
"Brad Pitt"	0.0950783
"William H. Macy"	0.0939734
"Drew Barrymore"	0.0929893
"Heather Graham"	0.0928924
"Janeane Garofalo"	0.0917646
"Hank Azaria"	0.0896841
"Winona Ryder"	0.0885649
"Samuel L. Jackson"	0.0884036
"Claire Danes"	0.088154
"Edward Furlong"	0.0873874
"Russell Crowe"	0.0841672
"Sandra Bullock"	0.0822421
"Nathan Lane"	0.0811449
"Holly Hunter"	0.0802584
"Matthew Broderick"	0.0801764
"Kate Winslet"	0.0792322
"Roberto Benigni"	0.0791431
"John Goodman"	0.0788665
"Dennis Quaid"	0.0786794
"Julianne Moore"	0.0781258
"Demi Moore"	0.0776813
"Amy Brenneman"	0.0776003
"Mike Myers"	0.0760869
"Joseph Fiennes"	0.0757209
"Billy Bob Thornton"	0.0755659
"Robin Williams"	0.0754614
"Matt Dillon"	0.0749846
"Bill Pullman"	0.0747279
"Cate Blanchett"	0.0736747
"Garry Shandling"	0.0724298
"John Leguizamo"	0.0722852
"Calista Flockhart"	0.0718074
"Richard Gere"	0.0715108
"Steve Zahn"	0.0705521
"AL PACINO"	0.0703939
"Edward Norton"	0.0688585
"Matthew McConaughey"	0.0686629
"Martin Sheen"	0.0685964
"Catherine Keener"	0.0683328
"Aidan Quinn"	0.0682408
"Martin Lawrence"	0.0679756
"Johnny Depp"	0.0675107
"Jim Carrey"	0.0674748
"Robert Duvall"	0.0670011
"Courtney Love"	0.0663687
"Leonardo DiCaprio"	0.0663409
"Christina Ricci"	0.0655692
"Nicolas Cage"	0.0653293
"Kevin Costner"	0.0651959
"Denis Leary"	0.0650641
"Woody Harrelson"	0.0650209
"Jodie Foster"	0.0650013
"Jeff Daniels"	0.0650007
"Richard Dreyfuss"	0.0648227
"John Cleese"	0.063419
furlong	0.0629411
"Stephen Rea"	0.0629294
"Sean Penn"	0.0627074
"Glenn Close"	0.062474
"Carol Burnett"	0.0619475
"Brooke Shields"	0.0618027
"Michelle Pfeiffer"	0.061364
"Ralph Fiennes"	0.0613317
"PHILIP SEYMOUR HOFFMAN"	0.0613019
"Bridget Fonda"	0.0611037
"Burt Reynolds"	0.0610175
"Chevy Chase"	0.0609705
"Jay Mohr"	0.0607288
"Uma Thurman"	0.0605028
"Kate Moss"	0.060336
"Sarah Jessica Parker"	0.0600781
"Harvey Keitel"	0.05973
"Bill Murray"	0.0595983
"Neve Campbell"	0.0592583
"Adam Sandler"	0.0590823
"Nick Nolte"	0.0588327
"Norm MacDonald"	0.0585291
"Ellen DeGeneres"	0.0583205
"Emily Watson"	0.0582229
"Chow Yun-Fat"	0.0579084
"Hugh Grant"	0.0573065
"Harrison Ford"	0.0571769
"Jennifer Love Hewitt"	0.0568143
"Robert Downey Jr."	0.0557755
"Melanie Griffith"	0.0557273
"Michael Douglas"	0.0556315
"Jack Lemmon"	0.0554666
"Robert de Niro"	0.0553968
"Kim Basinger"	0.0553699
"Cuba Gooding Jr."	0.0553054
"Sigourney Weaver"	0.0550463
"Matthew Perry"	0.0548991
"Tim Allen"	0.0548773
"Kevin Bacon"	0.0545542
"John C. Reilly"	0.054033
"Vanessa Redgrave"	0.0539911
"Bruce Willis"	0.0536209
"Sela Ward"	0.0535977
"Will Smith"	0.0535263
"Alicia Silverstone"	0.0535105
Costner	0.0530467
"James Van Der Beek"	0.0528872
"Kathy Bates"	0.0528702
"Drew Carey"	0.0527961
"Susan Sarandon"	0.0527563
"Brenda Blethyn"	0.0523835
"Alec Baldwin"	0.0522361
"Ashley Judd"	0.0519521
"Tyra Banks"	0.051944
"Liam Neeson"	0.051802
"Jeremy Irons"	0.0514155
"Famke Janssen"	0.0512153
"Taye Diggs"	0.0510842
"Sean Connery"	0.0509215
"Ryan Phillippe"	0.0509167
"Paul Newman"	0.0507997
"Helen Mirren"	0.0504999
"Joaquin Phoenix"	0.0504657
"Julia Roberts"	0.0502725
"Steve Martin"	0.049689
"Dustin Hoffman"	0.0494343
"Billy Crudup"	0.0493988
"John Belushi"	0.0493438
"Eddie Murphy"	0.0492857
"Charlize Theron"	0.0490895
"Tracey Ullman"	0.0489682
"Ed Harris"	0.0489289
"Wesley Snipes"	0.0487962
"George Clooney"	0.0487923
"Tom Hanks"	0.0484939
"Keanu Reeves"	0.0484747
"Marlon Brando"	0.0484384
"Michael Caine"	0.0484108
"Brendan Fraser"	0.0483309
"Chloe Sevigny"	0.0483296
"Nicole Kidman"	0.0482605
"Antonio Banderas"	0.0480824
"Geena Davis"	0.0477682
"Mark Wahlberg"	0.0476063
"Christian Bale"	0.0474355
"Gene Hackman"	0.0471852
"James Woods"	0.0470115
"Tom Cruise"	0.0469798
"John Travolta"	0.046979
"Arnold Schwarzenegger"	0.0467313
"Helen Hunt"	0.0466467
"George Carlin"	0.0465115
"Bob Hope"	0.0464347
"Stanley Tucci"	0.0464107
"Jon Stewart"	0.0463283
"Anthony Hopkins"	0.0463134
"Jennifer Lopez"	0.0462338
"Annette Bening"	0.0461321
"Liv Tyler"	0.0456328
"Jackie Chan"	0.0456241
"Reese Witherspoon"	0.045617
"Julie Andrews"	0.0456123
"Denzel Washington"	0.0455894
"Chris Rock"	0.0455893
"Natalie Portman"	0.0455103
"Angela Bassett"	0.0455043
"Bill Cosby"	0.0454535
"Kevin Spacey"	0.0453376
"Thandie Newton"	0.0452406
DiCaprio	0.0451804
"Ethan Hawke"	0.0451404
"Henry Fonda"	0.045117
"Kevin Kline"	0.0449679
"Ally Sheedy"	0.0449169
"JOHN TURTURRO"	0.0448519
"Meryl Streep"	0.0448438
"Frances McDormand"	0.0442978
"Jane Fonda"	0.0442848
"Sally Field"	0.0442699
"Lisa Kudrow"	0.0440105
"Jenna Elfman"	0.0439309
"Kris Kristofferson"	0.043668
"Andre Braugher"	0.0435057
"Kirsten Dunst"	0.0432962
"Ian McKellen"	0.0432903
"Clint Eastwood"	0.0431833
"Meg Ryan"	0.0430994
"Cindy Crawford"	0.043014
"Sidney Poitier"	0.0429097
"Paul Rudd"	0.0424331
"Jessica Lange"	0.0423515
"Catherine Deneuve"	0.0421923
"Ian Holm"	0.042097
"Rob Lowe"	0.0420921
))
("Ben Wallace" (desc 1289.58) (sims
"Clarence Weatherspoon"	0.161081
"Otis Thorpe"	0.15513
"Darrell Armstrong"	0.142062
"Tariq Abdul-Wahad"	0.11394
"Oliver Miller"	0.108827
"Horace Grant"	0.0973654
"Rod Strickland"	0.0967135
"Ike Austin"	0.0952464
"Mitch Richmond"	0.0856726
"Will Perdue"	0.0837594
"Jermaine O'Neal"	0.0831563
"William Avery"	0.0831264
"Nick Anderson"	0.0786923
"Chris Gatling"	0.0780519
"Brad Miller"	0.0775907
"Juwan Howard"	0.0771679
"Rony Seikaly"	0.076102
"Matt Geiger"	0.0712453
"Ron Francis"	0.0691964
"Tim Thomas"	0.068725
"Elton Brand"	0.0676565
"Yao Ming"	0.0676027
"Olden Polynice"	0.0670483
"Shawn Kemp"	0.0663488
"Randy Brown"	0.0663341
"Theo Ratliff"	0.0640655
"Shane Battier"	0.0634949
"Elden Campbell"	0.062184
"J.R Reid"	0.0620437
"Greg Ostertag"	0.0616765
"Glenn Robinson"	0.0608906
"Brian Skinner"	0.0595929
"Greg Foster"	0.0581396
"Keith Van Horn"	0.0579538
"Natalie Williams"	0.0578612
"Travis Knight"	0.0570495
"Aaron Williams"	0.0569092
"Chris Webber"	0.0560419
"Tony Battie"	0.0551232
"Kelvin Cato"	0.0550557
"Cliff Ronning"	0.0547296
"Dikembe Mutombo"	0.0547286
"Vlade Divac"	0.0544965
"Grant Long"	0.0544409
"Shawn Marion"	0.053857
"Kenny Thomas"	0.0536365
"Lamar Odom"	0.0535058
"Michael Wright"	0.0532577
"Jesse Orosco"	0.0531899
"Adam Oates"	0.0531663
"Jalen Rose"	0.0525883
"Mark Stepnoski"	0.0519429
"Wang Zhizhi"	0.051647
"Bill Wennington"	0.0512725
"Chris Childs"	0.0511835
"Dale Ellis"	0.0507545
"Kurt Thomas"	0.0504101
"John Salley"	0.0501911
"Jennifer Gillom"	0.0499405
"Herb Williams"	0.0497641
"Mike Jones"	0.0493997
"P.J Brown"	0.0488348
"John Wallace"	0.0486791
"Derrick Coleman"	0.0485841
"Jamie Feick"	0.0484958
"Tom Lampkin"	0.048289
"Alonzo Mourning"	0.0481406
"Donyell Marshall"	0.0478026
"Corliss Williamson"	0.047475
"Lisa Leslie"	0.047139
"Kevin Willis"	0.0470489
"Mark Bryant"	0.0470432
"Danny Fortson"	0.0469475
"Kevin Freeman"	0.0468171
"Jim Jackson"	0.0463784
"Derek Anderson"	0.0458495
"Sherman Douglas"	0.0456932
"Samaki Walker"	0.0454535
"Bob Corkum"	0.045039
"Curtis Brown"	0.0449789
"Tony Hrkac"	0.0446585
"Chris Taylor"	0.0443439
"Baron Davis"	0.0442505
"Joe Kleine"	0.0439608
"Michael Olowokandi"	0.0438673
"Chris Dudley"	0.0435266
"Raef LaFrentz"	0.0434378
"Richard Hamilton"	0.0434217
"Gus Frerotte"	0.0432412
"Sean Rooks"	0.0428066
"Jonathan Bender"	0.0425669
"Yolanda Griffith"	0.042343
"Chris Anstey"	0.0422766
"Shareef Abdur-Rahim"	0.0420869
"Cedric Ceballos"	0.0420288
"Claudia Pechstein"	0.0419644
"Todd MacCulloch"	0.0419305
"Keith Jones"	0.0418656
"Dion Glover"	0.0410585
"Ray Ferraro"	0.0407847
"Jelani McCoy"	0.0407153
"Skip Hicks"	0.0404636
"Yu Zhuocheng"	0.0401356
))
(Ben-Ami (desc 1512.27) (sims
Shareh	0.253145
Komura	0.252004
Shaath	0.241535
Kasoulides	0.238285
Ikeda	0.230942
"Minister Shlomo Ben-Ami"	0.230746
Stoyanov	0.23021
Guterres	0.228933
Granic	0.225625
Moratinos	0.21493
Rifkind	0.213217
"De Soto"	0.211722
"de Charette"	0.208879
Lipponen	0.207397
Velayati	0.204381
Erekat	0.198973
Cem	0.197824
Pangalos	0.194806
Azad	0.190858
Kostov	0.18851
Wolfensohn	0.187782
Klima	0.185554
Nzo	0.184765
Vedrine	0.184424
Dini	0.182212
Luong	0.181414
Tarawneh	0.180189
Kok	0.179755
Pickering	0.179749
Narayanan	0.179492
Holl	0.178887
Ahtisaari	0.177567
Kabariti	0.176184
Rodionov	0.171457
Kharrazi	0.169974
Abdel-Meguid	0.169397
Constantinescu	0.16917
Karimov	0.16852
Siazon	0.167605
Pustovoitenko	0.166898
Nujoma	0.165381
Phieu	0.165191
Alatas	0.164275
Saleh	0.164
Schuessel	0.163321
Deuba	0.161245
Niyazov	0.159715
Sahnoun	0.1589
Surin	0.158686
Brahimi	0.158311
Sharaa	0.157673
Vollebaek	0.15722
Eran	0.156366
Scalfaro	0.156142
al-Shara	0.155443
Klestil	0.155286
Zeng	0.153639
Camdessus	0.15272
Diouf	0.152587
Kono	0.152167
Meguid	0.14966
Jayakumar	0.149261
Sumaye	0.14922
Kwasniewski	0.149217
Scharping	0.14912
Ruehe	0.149098
Tsang	0.148972
Iliescu	0.148725
Ganzouri	0.147728
wen	0.147409
Sergeyev	0.147362
al-Khatib	0.145983
Qiao	0.145806
Grachev	0.144866
Brittan	0.144511
Axworthy	0.144018
Ogata	0.143351
Kagame	0.142906
Beilin	0.142403
Kinkel	0.142105
Gaddafi	0.141607
Aznar	0.141298
Hrawi	0.140524
Mkapa	0.140051
Santer	0.139769
al-Sharaa	0.139719
Ikimi	0.13931
Solana	0.138569
Seleznyov	0.138201
Frei	0.13794
Moussa	0.13783
Fu	0.137816
Hoss	0.136741
Rakhmonov	0.136382
Husseini	0.135283
Juncker	0.135176
Persson	0.135157
Xiong	0.134875
Talbott	0.134157
Orban	0.13372
Goh	0.133582
Khaddam	0.133428
Majali	0.133374
Muluzi	0.133282
Ivanov	0.133254
Barzani	0.132931
Severino	0.132314
Ecevit	0.132259
Shevardnadze	0.132163
Arens	0.131382
"Abu Ala"	0.131321
Zuma	0.131128
Kumaratunga	0.130176
"Xie Zhenhua"	0.129793
al-Sahhaf	0.129578
Hamad	0.129537
Shara	0.12939
Mordechai	0.128957
Abbas	0.128924
Peres	0.128808
Tian	0.128649
Garang	0.127901
"Abu Mazen"	0.127567
Gurirab	0.127349
Zou	0.126704
Nazarbayev	0.126338
"Boris Nemtsov"	0.125859
Qian	0.125305
Piot	0.125048
Ciampi	0.12491
Chissano	0.124464
Fino	0.124353
al-Hariri	0.12389
Meles	0.123764
Jia	0.123487
Jovanovic	0.123365
Luo	0.123289
Weizman	0.123198
Lahoud	0.123108
Indyk	0.122836
Dehaene	0.122647
Khai	0.12242
Soares	0.122367
Nemtsov	0.122074
Nasrallah	0.121867
Bellamy	0.121819
Gujral	0.121663
Downer	0.12163
Demirel	0.121616
"Faisal Husseini"	0.121582
al-Sahaf	0.121403
Bolger	0.121302
Brundtland	0.121143
Akayev	0.12072
Aliyev	0.120414
Aziz	0.120273
Zhirinovsky	0.120019
Shipley	0.119857
LeBlanc	0.118935
Boueiz	0.118554
Gowda	0.118542
Simitis	0.118346
Chavalit	0.1182
Chretien	0.118131
Baz	0.118115
Fischer	0.117913
Berri	0.117373
Shamshad	0.117219
Vasile	0.11689
Hariri	0.116786
Kajiyama	0.116685
"Ivan Kostov"	0.116562
Insulza	0.116303
"Lee Hsien Loong"	0.116061
Ahern	0.115502
Prueher	0.115369
Herzog	0.115149
Sampaio	0.115005
Primakov	0.114891
"Binyamin Netanyahu"	0.114713
Malu	0.114489
Papandreou	0.113881
Rau	0.113209
Yastrzhembsky	0.112814
"Prime Minister Kamal El-Ganzouri"	0.112281
Menem	0.112217
Iglesias	0.112094
"Defense William Cohen"	0.111834
Hu	0.111814
el-Baz	0.111736
al-Bashir	0.111626
Shahak	0.111584
Shi	0.110778
Eizenstat	0.110511
Ekeus	0.110425
Almeida	0.110275
Ashrawi	0.110129
Bulatovic	0.110011
Koehler	0.109972
Leghari	0.109474
McKinnon	0.108969
Buzek	0.108722
Albright	0.108674
"Tang Jiaxuan"	0.10857
"Hanan Ashrawi"	0.108386
Lukashenko	0.108126
Koirala	0.107866
"Pope John Paul"	0.107825
"Atef Obeid"	0.107593
"Abidine Ben Ali"	0.107459
Hasina	0.107326
Chubais	0.107281
Bildt	0.107213
Rong	0.107173
"Yuri Maslyukov"	0.107165
Tsvangirai	0.106815
"John Prescott"	0.106501
"Wlodzimierz Cimoszewicz"	0.106389
D'Alema	0.105526
Muoi	0.105227
Sher	0.105038
Obeid	0.104945
"Maung Aye"	0.104817
Chi	0.104646
Bondevik	0.104533
Barshefsky	0.104327
Leung	0.104318
Kissinger	0.104158
Advani	0.104053
Bruton	0.10389
Malan	0.103137
"Krishna Prasad Bhattarai"	0.10312
el-Ganzouri	0.103069
"Khin Nyunt"	0.10301
Majko	0.102762
Stepashin	0.102758
Sharon	0.102356
Cohen	0.101738
"Esmat Abdel Meguid"	0.101559
Koo	0.101491
Wei	0.101318
"Xiong Guangkai"	0.101296
Petersen	0.101243
Wu	0.101077
Chirac	0.101044
"Than Shwe"	0.101041
"Yitzhak Molcho"	0.100768
Musa	0.100656
"Tareq Aziz"	0.100598
"Sergei Stepashin"	0.100532
"John Bruton"	0.100423
"Prime Minister Banharn Silpa-Archa"	0.100422
Fernandes	0.100333
Mubarak	0.100319
Prodi	0.100275
))
("Ben-Gurion Airport" (desc 959.031) (sims
"Cairo International Airport"	0.271576
"Entebbe International Airport"	0.218858
"Heathrow Airport"	0.198649
"Kai Tak Airport"	0.191494
"Harare International Airport"	0.186986
"Macao International Airport"	0.186973
"Logan International Airport"	0.185826
"Kuala Lumpur International Airport"	0.178858
"Jomo Kenyatta International Airport"	0.173542
"Capital Airport"	0.173058
"Dulles International Airport"	0.172551
"Andrews Air Force Base"	0.17087
"U.N. Headquarters"	0.167484
"John F. Kennedy International Airport"	0.166179
"Newark International Airport"	0.161193
"Miami International Airport"	0.152427
"Kennedy International Airport"	0.150757
"Hartsfield International Airport"	0.138878
Stansted	0.128439
"Kennedy Airport"	0.120476
"Fort Dix"	0.119766
"Los Angeles International Airport"	0.108619
"Ellis Island"	0.102318
Logan	0.0991706
"Logan Airport"	0.0985453
Stormont	0.0978902
"Waldorf-Astoria Hotel"	0.096876
Waldorf-Astoria	0.0949184
"Dorothy Chandler Pavilion"	0.0940434
"Presidential Palace"	0.0922319
"Parliament House"	0.0922179
"International Airport"	0.0911138
Highbury	0.0908077
Dodgertown	0.0907293
"Kennedy Space Center"	0.0903999
"railroad station"	0.0896046
"Hong Kong International Airport"	0.0871386
"Windsor Castle"	0.0855038
"National Press Club"	0.0852448
airbase	0.0848845
"Johannesburg International Airport"	0.0841072
"Old Trafford"	0.0841059
"O'Hare International Airport"	0.0837661
Pimlico	0.0802832
"La Guardia Airport"	0.0777978
airfield	0.0777702
"San Francisco International Airport"	0.0770892
"Valley Ranch"	0.0763094
airstrip	0.0754391
"Cape Canaveral"	0.0738386
"Fort Lewis"	0.0735565
guesthouse	0.0726436
Hartsfield	0.0725874
"news briefing"	0.072004
"bus stop"	0.0713012
"British Embassy"	0.0712039
"police headquarters"	0.0710103
O'Hare	0.0688976
"Downing Street"	0.0686649
"Ritz-Carlton Hotel"	0.0679976
"New York Film Festival"	0.0678692
Blace	0.0677908
"Veterans Stadium"	0.0675423
Tarawneh	0.0669113
"Johnson Space Center"	0.0666138
"Shrine Auditorium"	0.0663062
infirmary	0.0658616
"Pennsylvania Station"	0.0654732
gunpoint	0.0645584
"Hong Kong Convention and Exhibition Center"	0.0638331
"Wye Plantation"	0.0630583
"camp site"	0.0629627
"Imperial Palace"	0.0627195
Storrs	0.0608618
"Penn Station"	0.060788
"work camp"	0.0606657
"Arlington National Cemetery"	0.0604486
"about @:@@"	0.060315
"Jacobs Field"	0.0589187
"United Center"	0.0588613
"New Covenant"	0.058688
campsite	0.0581342
"about @@:@@"	0.0579107
"parade ground"	0.0578168
Andrews	0.0575424
Aviano	0.0570531
"Churchill Downs"	0.0567716
KLIA	0.0566581
sanatorium	0.0562875
"Union Station"	0.056055
"Buckingham Palace"	0.0560506
PSG	0.055567
"MCI Center"	0.0554853
"Turkish Embassy"	0.0551619
"Camden Yards"	0.0549638
"Joint Liaison Group"	0.0547324
"U.S. Capitol"	0.0547209
NHIS	0.0544242
manhole	0.0538709
"Cinergy Field"	0.0535796
"Lone Star Park"	0.0529455
"Plaza Hotel"	0.0523549
RAMBOUILLET	0.0523198
lunchtime	0.0513784
"ice rink"	0.0512577
"South Pole"	0.0510232
statehouse	0.0510103
"U.S. Naval Academy"	0.0509857
"Fort Hood"	0.0507893
harbour	0.0501566
"Olympic Village"	0.0498924
"Indianapolis Motor Speedway"	0.049692
bedside	0.0491418
"Arrowhead Stadium"	0.0490733
sickbed	0.0488795
"Freedom Forum"	0.0488659
Shepherdstown	0.0485303
"holding cell"	0.0483387
"Pudong International Airport"	0.0482836
"Foxboro Stadium"	0.0482291
"Russian Embassy"	0.048222
heliport	0.04818
"Blair House"	0.0479766
"Busch Stadium"	0.0479539
"Orient House"	0.0477031
Gdansk	0.0476086
"polling place"	0.0474433
"Joyce Theater"	0.0471257
"city block"	0.0471095
Heathrow	0.0468226
Tennessean	0.0468089
"Iranian capital"	0.0467066
"station house"	0.0466609
Tuesday.	0.0464992
LeBlanc	0.0464043
"Radio City Music Hall"	0.0463048
"Top @"	0.0461976
Longwood	0.0461599
Wilhelm	0.0461585
"Edison Field"	0.0460504
Medinah	0.0459551
"North Valley Jewish Community Center"	0.0456746
"Seasons Hotel"	0.0456384
Brundtland	0.0455593
"Royal Bank of Scotland"	0.0454508
"Delta Center"	0.0453937
"North Pole"	0.0453782
Imperatori	0.0453182
"Zoo Atlanta"	0.0453132
Westminster	0.0452175
a.m.	0.0452086
Pinehurst	0.0451355
"navy yard"	0.0450686
"Kiel Center"	0.0450564
"Continental Airlines Arena"	0.0450416
"Harvard College"	0.0449445
Carnoustie	0.0449155
"Market Square Arena"	0.0449094
"Yad Vashem"	0.0448012
Juppe	0.0446649
"Harvard Business School"	0.0445382
Langley	0.044356
Rabat	0.0441899
"New Hampshire International Speedway"	0.0441707
Comelec	0.0441413
stoplight	0.0440318
"National Geographic Society"	0.0439484
"Chek Lap Kok"	0.0439277
Murayama	0.043906
Brickyard	0.0437034
"America West Arena"	0.0436147
Baikonur	0.0432324
"Soldier Field"	0.0430425
"Belmont Park"	0.0427583
Alatas	0.0426231
"Jet Propulsion Laboratory"	0.0425868
"loud noise"	0.0425185
"Esmat Abdel Meguid"	0.0424418
Ershad	0.0424115
"Lincoln Memorial"	0.0423764
"Boutros Boutros Ghali"	0.0422279
LaGuardia	0.0422169
"National Library"	0.0421785
handbill	0.0421635
Dunkirk	0.0420379
"Port Angeles"	0.041964
"University of Minnesota"	0.0419319
"Royal Palace"	0.0417588
"Qualcomm Stadium"	0.041754
Grambling	0.0416517
"Comiskey Park"	0.0414626
"Lambeau Field"	0.0413888
CRI	0.0411781
Bellevue	0.0409163
"Nigerian capital"	0.0409003
"St. Albans"	0.0408748
"National Zoo"	0.0408734
"Hearst Corporation"	0.040709
"polling booth"	0.0406321
"German Embassy"	0.0406085
))
(Benazir (desc 2179.6) (sims
Bhutto	0.245543
Gowda	0.201337
"Benazir Bhutto"	0.198182
Leghari	0.161749
Gujral	0.156019
Rodionov	0.15401
Vasile	0.152924
Kabariti	0.15155
Deuba	0.14808
Chavalit	0.136826
Lipponen	0.135433
Koirala	0.135409
Pustovoitenko	0.135003
Kasoulides	0.132114
Stoyanov	0.132045
Velayati	0.129794
Azad	0.12892
Diouf	0.128278
Ruehe	0.128158
Rabbani	0.12751
Kostov	0.126733
Rifkind	0.124543
Guterres	0.124344
"de Charette"	0.123376
Musharraf	0.1191
Ikimi	0.117927
Orban	0.117394
Aventajado	0.116323
Nujoma	0.115864
Dodik	0.11292
Banharn	0.112498
Tarawneh	0.111936
Muluzi	0.111217
Alarcon	0.111187
Granic	0.11112
Nzo	0.110518
Abdel-Meguid	0.110413
Grachev	0.109743
Dini	0.108595
Akayev	0.107708
Hasina	0.107394
Hariri	0.106489
Klima	0.106488
Chuan	0.106086
Holl	0.105843
Phieu	0.105822
Luong	0.105323
Ciampi	0.105292
Erbakan	0.105241
Jovanovic	0.105003
Mkapa	0.104354
Majali	0.10429
Buzek	0.10411
Komura	0.103368
Vajpayee	0.103145
Karimov	0.103116
Bedie	0.103035
Kumaratunga	0.102839
Bizimungu	0.102594
Jayakumar	0.102474
Shareh	0.101473
Boueiz	0.101116
Vollebaek	0.100926
Rawabdeh	0.100921
Wolfensohn	0.100915
Alatas	0.100884
Menem	0.100285
Yadav	0.100085
Kwasniewski	0.0998697
Modise	0.0991064
Kuchma	0.0987859
Tsang	0.0986229
Advani	0.0980736
Nazarbayev	0.0979783
Klestil	0.0976789
Khaddam	0.0976036
Constantinescu	0.0969955
Rakhmonov	0.0968816
Kharrazi	0.0959079
Zuma	0.095356
Yilmaz	0.0953164
Severino	0.0953043
Persson	0.0952647
Kok	0.0950633
Bondevik	0.0948341
Chissano	0.0944162
"Chavalit Yongchaiyudh"	0.0941287
Buyoya	0.094098
Aznar	0.093399
Shamshad	0.0933916
Zeroual	0.0933449
Rais	0.0933331
Moratinos	0.0929272
Khai	0.0929124
Ikeda	0.0927295
Fernandes	0.0925995
Banzer	0.0924586
Masire	0.0924017
Sharif	0.0923815
Chaudhry	0.0920965
Simitis	0.0917702
Nano	0.0915383
Ecevit	0.0906132
Shipley	0.0903904
Juppe	0.0901383
Soares	0.0896306
Thapa	0.0891661
Meles	0.0886274
Hoss	0.0880204
"De Soto"	0.0875662
Chiluba	0.0875623
Museveni	0.0873763
Insulza	0.0869872
Cem	0.0869595
Niyazov	0.0859809
Chand	0.0856816
Brahimi	0.0856343
Chretien	0.0852774
Obasanjo	0.0852447
Samper	0.0849381
Rao	0.0849004
"Mesut Yilmaz"	0.0845037
Lukashenko	0.0843015
Rafsanjani	0.0840922
Scalfaro	0.0838646
Stroyev	0.0836045
Bhattarai	0.0834299
Brundtland	0.0830342
Shevardnadze	0.0829595
"Sher Bahadur Deuba"	0.0829204
Clerides	0.0828897
Nateq-Nouri	0.0828671
Aleman	0.0828531
Kono	0.0827864
Dehaene	0.0827509
Rong	0.0825865
Narayanan	0.0824372
Zou	0.082317
Ganzouri	0.0821704
Patasse	0.0821536
Shao	0.0819632
Carollo	0.081527
Frei	0.0811794
Sumaye	0.0811372
Tung	0.0810661
Amato	0.080825
Guei	0.0807106
Bucaram	0.0804637
Kiriyenko	0.0803484
Djukanovic	0.080197
Meguid	0.0800556
Jospin	0.0793122
Menchu	0.0792663
Axworthy	0.078968
Lazarenko	0.0789111
Fabius	0.0787489
Kulikov	0.0787069
Schuessel	0.0784623
Tudjman	0.078411
Rau	0.078151
Saleh	0.0778685
Kabbah	0.0776919
"Prime Minister Banharn Silpa-Archa"	0.0776333
Sahnoun	0.0775501
Ahtisaari	0.0774243
Stepashin	0.0773559
Abubakar	0.0771839
Maharaj	0.0767151
Pangalos	0.0767059
Vieira	0.0764184
Yazdi	0.0763671
Aziz	0.076275
Mordechai	0.0761949
Surin	0.0757268
Sharaa	0.0753905
Ershad	0.0751138
Fino	0.0749896
Lari	0.0745288
Primakov	0.0742786
Kinkel	0.0741841
Hamid	0.0741085
Kagame	0.0740982
Singson	0.0740786
Brittan	0.0740533
"Chuan Leekpai"	0.0739318
Abacha	0.0739135
el-Bashir	0.0738984
Prueher	0.073763
Hrawi	0.0735517
"Deve Gowda"	0.0733001
"Sergei Stepashin"	0.0731248
"Atal Behari Vajpayee"	0.073007
Waigel	0.0727286
Cubas	0.0727106
Ekeus	0.0725582
Kagalovsky	0.0722981
Bulatovic	0.0721623
Sergeyev	0.0719819
Imelda	0.0719495
Malan	0.0718695
))
("Benazir Bhutto" (desc 9575.74) (sims
"Nawaz Sharif"	0.24754
"Chavalit Yongchaiyudh"	0.231216
"Chuan Leekpai"	0.229598
"Atal Bihari Vajpayee"	0.22933
"Atal Behari Vajpayee"	0.224097
Bhutto	0.223015
"Necmettin Erbakan"	0.208498
"Rafik Hariri"	0.205979
"Sheikh Hasina"	0.203679
"Mesut Yilmaz"	0.202422
Benazir	0.198182
"Tansu Ciller"	0.192434
"Meles Zenawi"	0.191121
"Ryutaro Hashimoto"	0.190768
"Costas Simitis"	0.190321
"Jean Chretien"	0.188225
"Deve Gowda"	0.185609
"Khaleda Zia"	0.184985
"Inder Kumar Gujral"	0.184807
"Mikulas Dzurinda"	0.183224
"Romano Prodi"	0.182027
"Frederick Sumaye"	0.179712
"Fatos Nano"	0.17711
"John Major"	0.176174
"Jose Maria Aznar"	0.17601
"Vo Van Kiet"	0.175834
"Yevgeny Primakov"	0.175639
"Pascoal Mocumbi"	0.175334
"Binyamin Netanyahu"	0.174911
"Bulent Ecevit"	0.173666
"Yoshiro Mori"	0.172035
"Sergei Kiriyenko"	0.171618
"Ivan Kostov"	0.170701
"Radu Vasile"	0.169987
"John Howard"	0.169772
"Valery Pustovoitenko"	0.169579
"Alain Juppe"	0.169279
el-Ganzouri	0.167609
"Lokendra Bahadur Chand"	0.167549
"Lionel Jospin"	0.167402
Sharif	0.167071
Hasina	0.166915
"Keizo Obuchi"	0.166552
Vajpayee	0.16646
"Wlodzimierz Cimoszewicz"	0.166366
"Phan Van Khai"	0.166056
"H.D Deve Gowda"	0.165199
"Milos Zeman"	0.165129
"Begum Khaleda Zia"	0.164401
"Gulbuddin Hekmatyar"	0.164181
"Sartaj Aziz"	0.162251
"Lamberto Dini"	0.161265
"Viktor Chernomyrdin"	0.16103
"Abdul Karim Kabariti"	0.160407
"Jerzy Buzek"	0.15966
"Vaclav Klaus"	0.15964
"Bashkim Fino"	0.157146
"I.K Gujral"	0.156988
"Salim Hoss"	0.156741
Gujral	0.156545
"Shimon Peres"	0.155926
"Sergei Stepashin"	0.155459
Dehaene	0.155036
"Tomiichi Murayama"	0.154228
"Sher Bahadur Deuba"	0.154038
"Goran Persson"	0.152072
"Atef Obeid"	0.151746
"Jenny Shipley"	0.151014
Deuba	0.15094
"Jordanian King Abdullah Bin Hussein"	0.149629
"Goh Chok Tong"	0.149075
"Bertie Ahern"	0.14721
"Mahathir Mohamad"	0.146426
Chuan	0.145747
"Antonio Guterres"	0.14513
Koirala	0.144774
Moi	0.144186
al-Bashir	0.143953
Musharraf	0.143913
"Yitzhak Mordechai"	0.142549
"John Bruton"	0.142237
"Girija Prasad Koirala"	0.14216
"Pandeli Majko"	0.141874
"Tang Jiaxuan"	0.14089
"Prime Minister Kamal El-Ganzouri"	0.140858
"P.V Narasimha Rao"	0.140647
Hariri	0.139888
"Anwar Ibrahim"	0.138753
"Benjamin Netanyahu"	0.138622
al-Hariri	0.137452
"Hun Sen"	0.137123
"Natan Sharansky"	0.136212
"Paavo Lipponen"	0.134694
Ecevit	0.133861
"Vuk Draskovic"	0.133531
"Megawati Soekarnoputri"	0.133147
Chavalit	0.131963
Al-Thani	0.130976
"Li Peng"	0.130795
"Victor Chernomyrdin"	0.130249
"President Hafez Al-Assad"	0.130126
"Prime Minister Banharn Silpa-Archa"	0.12967
Simitis	0.129408
"Yossi Sarid"	0.129117
"Than Shwe"	0.128766
"President Kim Young-sam"	0.128386
al-Shara	0.128215
"Ariel Sharon"	0.127601
"Kamal Kharrazi"	0.127238
Erbakan	0.127237
"Paul Keating"	0.127049
"Wim Kok"	0.126944
Rao	0.12619
Nazarbayev	0.125979
"Norodom Ranariddh"	0.125631
"Igor Sergeyev"	0.125026
"Momir Bulatovic"	0.124961
"Abdul Salam Majali"	0.124723
Khaddam	0.124191
Primakov	0.124039
"Vladimir Meciar"	0.123877
"Kim Yong Nam"	0.123832
Banharn	0.123758
"Abdullah Ahmad Badawi"	0.123548
Yilmaz	0.123261
"Lee Kuan Yew"	0.123225
"Tariq Aziz"	0.123128
"President Kim Dae-jung"	0.122757
"Zhu Rongji"	0.122638
"Ehud Barak"	0.122416
Hashimoto	0.12235
"George Robertson"	0.122088
Lipponen	0.122072
"Secretary General Esmat Abdul-Meguid"	0.122035
al-Khatib	0.121464
"Helen Clark"	0.121156
"Jacques Chirac"	0.120184
Stepashin	0.119973
Bhattarai	0.119747
Chretien	0.119002
al-Sahhaf	0.118802
el-Bashir	0.118417
Mkapa	0.118082
"Krishna Prasad Bhattarai"	0.117847
"Igor Ivanov"	0.117371
"Tony Blair"	0.117257
"Qian Qichen"	0.11723
"Viktor Orban"	0.116781
"Yasser Arafat"	0.116325
Museveni	0.116117
Jospin	0.115684
"Mikhail Kasyanov"	0.115303
"David Levy"	0.114826
Meles	0.114804
"Margaret Thatcher"	0.114477
Aznar	0.114392
Premier	0.114272
"William Cohen"	0.114059
Majali	0.114056
Kharrazi	0.113857
"Saeb Erekat"	0.113844
"Ricardo Alarcon"	0.11367
"Ung Huot"	0.113535
Kabariti	0.113335
"Amr Moussa"	0.112991
Ranariddh	0.112597
"William Perry"	0.112502
"Mahendra Chaudhry"	0.112355
"Saudi King Fahd Ibn Abdul-Aziz"	0.112143
al-Sharaa	0.111791
al-Assad	0.111598
Clerides	0.111144
Rua	0.110781
"Vladimir Putin"	0.110671
Chiluba	0.110074
"Javier Solana"	0.109853
"Fayez Tarawneh"	0.109745
"Secretary General Esmat Abdel-Meguid"	0.1097
Scalfaro	0.1095
"Ismail Cem"	0.10932
"John Prescott"	0.108352
"Chea Sim"	0.107975
"Rashid Dostum"	0.107968
"Silvio Berlusconi"	0.107443
"Tim Fischer"	0.107144
Rafsanjani	0.107029
"Pakalitha Mosisili"	0.106315
"Ibrahim Rugova"	0.106205
emir	0.106035
Phieu	0.105883
Kuchma	0.105766
"King Fahd"	0.105693
"Pakistan Muslim League"	0.105393
D'Alema	0.104984
"Chief Executive Tung Chee-hwa"	0.104921
"Tareq Aziz"	0.104828
Kinkel	0.104747
"Gro Harlem Brundtland"	0.104726
Al-Sabah	0.104611
"Speaker Ali Akbar Nateq-Nouri"	0.104477
"Felipe Gonzalez"	0.104264
Ganzouri	0.104249
"King Norodom Sihanouk"	0.10404
"Sonia Gandhi"	0.103851
"Jaswant Singh"	0.10373
Khatami	0.103614
Qian	0.10338
Chernomyrdin	0.103322
"Laurent Kabila"	0.102936
"finance minister"	0.102612
"Megawati Sukarnoputri"	0.102241
Wiranto	0.102226
Mubarak	0.102079
"Yuri Maslyukov"	0.10167
"King Hussein"	0.101628
"Milorad Dodik"	0.10157
Goh	0.10148
"King Abdullah II"	0.101453
Abubakar	0.101025
Rabbani	0.100989
Chirac	0.10097
"Ieng Sary"	0.100766
"David Trimble"	0.100711
Dae-jung	0.100514
Ahern	0.100395
"Seamus Mallon"	0.100147
))
(bench (desc 94265.3) (sims
sideline	0.128305
dugout	0.112194
roster	0.107204
floor	0.102063
table	0.0978614
bullpen	0.0960062
chair	0.0935876
couch	0.0933849
"locker room"	0.0925419
court	0.0901871
lineup	0.0883247
desk	0.0849542
offense	0.0837232
field	0.0832768
sofa	0.0814961
Defense	0.0812044
team	0.0808156
Mound	0.0807713
seat	0.0799523
coach	0.0782717
ICE	0.0776324
"Supreme Court"	0.075418
stool	0.0751463
podium	0.0750296
game	0.0742919
sidewalk	0.074282
"court of appeals"	0.0741499
bed	0.0740595
board	0.0733135
player	0.0726149
panel	0.0720869
rotation	0.0720739
row	0.0715381
"appeals court"	0.0699817
clubhouse	0.0692989
fan	0.0692886
wall	0.0678227
shelf	0.0677103
fence	0.0671771
"power play"	0.0670965
scorer	0.0669865
"dressing room"	0.0668811
screen	0.0664959
balcony	0.0664492
squad	0.0655883
starter	0.0655486
"high court"	0.0650819
stage	0.0639963
line	0.0624403
dais	0.0620206
staff	0.0616276
back	0.0615845
plate	0.0613472
guard	0.0611677
side	0.0609376
ball	0.0604697
"general manager"	0.0598146
porch	0.0596026
"U.S. Supreme Court"	0.0594108
pitching	0.0593591
backcourt	0.0591916
teammate	0.0589459
net	0.0588633
jury	0.058591
"front line"	0.0585657
post	0.0582938
"home plate"	0.0582892
crowd	0.0572427
mat	0.0569902
list	0.0567817
basket	0.056481
booth	0.0562247
rebound	0.0560608
bus	0.0558787
street	0.0554399
deck	0.0553447
"state supreme court"	0.0552815
courtroom	0.0547692
bar	0.0547524
office	0.0546775
judge	0.0544714
beach	0.0542763
secondary	0.0540171
road	0.0538948
top	0.0538183
jersey	0.053678
tee	0.0536027
outfield	0.0535765
door	0.0535423
lawn	0.0534778
cabinet	0.0534122
ground	0.0530852
patio	0.0530813
job	0.0529928
"first base"	0.0529429
uniform	0.0526521
box	0.0526339
"parking lot"	0.0524224
"free throw"	0.052366
pedestal	0.0522783
shoulder	0.0522065
knee	0.0521642
room	0.0520805
roof	0.0519553
victory	0.0517181
"winning streak"	0.0514461
tree	0.0513352
grass	0.0512856
"basketball team"	0.0512808
touchdown	0.0511837
"board of directors"	0.0511484
counter	0.0508504
"running game"	0.0508503
quarterback	0.0508302
dock	0.0507408
bat	0.0507
furniture	0.0506852
corner	0.0505119
guy	0.0502937
goal	0.0502645
locker	0.0501721
shot	0.0500917
spot	0.0498988
O'Neal	0.0498932
circuit	0.0498804
track	0.0497634
house	0.0497624
"city council"	0.0494182
"federal court"	0.0494138
baseline	0.0493879
arena	0.0492484
pool	0.0491737
forward	0.0490936
edge	0.049067
possession	0.0489947
goalie	0.0488624
"field goal"	0.0488424
"home game"	0.0488133
bleachers	0.0487768
"football team"	0.0487507
chamber	0.048656
pitcher	0.0485728
catcher	0.0485214
pavement	0.0484881
DL	0.0483955
committee	0.0482119
hitter	0.0481318
clock	0.0480176
basketball	0.0479094
green	0.0478502
stadium	0.0477629
terrace	0.0477592
fountain	0.0476263
defender	0.0475658
scoreboard	0.0475385
TV	0.047475
crutch	0.0474207
earth	0.0474122
mattress	0.0473864
gate	0.0472072
defensive	0.0470965
campus	0.0469405
platform	0.0469089
trail	0.0468919
window	0.0468301
receiver	0.0466219
pole	0.046445
tribunal	0.0463902
club	0.0463445
building	0.0461913
pitch	0.0460237
camera	0.0458251
leg	0.0458172
camp	0.0457334
midfield	0.0456791
tent	0.045577
television	0.0455465
scene	0.045485
rack	0.0454698
chance	0.0453376
him	0.0452981
Senate	0.0452177
runway	0.0451362
garden	0.0451186
Lakers	0.0448325
rail	0.0446155
"goal line"	0.0445877
carpet	0.0445822
"starting pitcher"	0.0445673
hotel	0.0445238
defensemen	0.0444767
surface	0.0444747
cart	0.0443593
car	0.0443334
page	0.0442995
phone	0.0442868
foul	0.0442164
"second base"	0.0440712
Grandstand	0.0439301
cushion	0.0438654
))
(benchmark (desc 30261) (sims
barometer	0.131817
index	0.116133
indicator	0.115407
Nikkei	0.114552
"Nikkei Stock Average"	0.109386
yardstick	0.10438
"blue chip"	0.0965491
bellwether	0.0925586
gauge	0.0901909
"FTSE @@@"	0.088929
"Hang Seng Index"	0.0849346
criteria	0.0845964
BSE-@@@	0.0827416
indices	0.0809691
"Straits Times Industrials Index"	0.0783612
FTSE	0.0777671
"CAC @@"	0.074869
"Straits Times Index"	0.074513
standard	0.0740508
"S&AMP;P"	0.0718258
DAX	0.0714641
CAC-@@	0.0692782
guideline	0.0657756
yield	0.065659
milestone	0.0654421
"Hang Seng"	0.0654278
"Composite Index"	0.0649356
Stocks	0.0648403
"inflation rate"	0.0646512
requirement	0.0643578
"Xetra Dax"	0.0643234
industrials	0.0640285
parameter	0.0626715
criterion	0.0624547
"Kuwait Stock Exchange"	0.0617783
threshold	0.0610587
Composite	0.0609348
"market average"	0.0607985
Dow	0.0606606
measurement	0.0604601
"lower than"	0.059919
"consumer price index"	0.0598217
"interest rate"	0.0595025
"Treasury bond"	0.0591426
"equity fund"	0.0587354
"reference point"	0.0587075
tool	0.0586514
"price index"	0.0586287
"growth rate"	0.0582476
Sensex	0.0580385
proxy	0.0579409
"borrowing cost"	0.0577732
"blue-chip stock"	0.0575449
ratio	0.0574456
rose	0.0571883
"funds rate"	0.0566432
precedent	0.0558384
expectation	0.0552537
"nearly @@@ points"	0.0551249
Nasdaq	0.0546011
objective	0.0541805
"Hang Seng China Enterprises Index"	0.0540769
norm	0.0537741
incentive	0.0537161
"eight cents"	0.0533416
bond	0.0531832
timetable	0.0529231
laggard	0.0525514
instrument	0.0524559
"unemployment rate"	0.0523425
justification	0.0521883
"leading indicator"	0.0521537
"rate of inflation"	0.0521293
"Treasury bill"	0.0519033
"Dow Jones Industrial Average"	0.0517962
quota	0.0517823
factor	0.0516314
mechanism	0.0514406
sharemarket	0.0514014
forecast	0.0512967
"stock market"	0.0512199
outlook	0.0511896
sub-index	0.0509068
strategy	0.0506807
inflation	0.0505796
"Karachi Stock Exchange"	0.0504505
projection	0.0504036
valuation	0.0503032
"futures price"	0.0500541
trend	0.0500371
minimum	0.0497498
FT-SE	0.0497327
barrier	0.0497014
"Dow Jones"	0.0494072
"mortgage rate"	0.0490333
"bond price"	0.0488336
method	0.0488036
capitalization	0.0487979
framework	0.0487579
haven	0.0486887
liquidity	0.0484779
"measuring stick"	0.048367
"safety standard"	0.048085
premium	0.0480816
"turning point"	0.0479374
predictor	0.0475917
"tax rate"	0.0468647
mortgage	0.0468505
catalyst	0.0461302
"oil price"	0.0461078
"producer price"	0.0460627
portfolio	0.0460609
"futures contract"	0.0459335
"B share"	0.0457486
regulation	0.0456968
"mutual fund"	0.0456253
definition	0.0455855
trading	0.0455216
"retail sale"	0.0455002
"road map"	0.0454934
precondition	0.0454466
Formula	0.045131
"Australian dollar"	0.0449852
currency	0.0449557
ceiling	0.0448918
rating	0.0448529
Bourse	0.0447081
Russell	0.0446561
"Standard &AMP; Poor"	0.0446453
alternative	0.0445234
"Sensitive Index"	0.0444832
"crime rate"	0.044322
"junk bond"	0.0442802
component	0.0441682
collateral	0.0441597
CPI	0.0441301
determinant	0.0439029
"role model"	0.0436503
indication	0.0436391
"occupancy rate"	0.0436122
three-month	0.0436082
data	0.0436015
priority	0.0435515
Limitation	0.0433081
stipulation	0.0432529
restriction	0.0432517
code	0.043224
"retail price"	0.0432077
sentiment	0.043142
procedure	0.0431388
"market value"	0.0430014
deadline	0.0429765
"consumption tax"	0.0429367
"more than @@ points"	0.0428519
"rule of thumb"	0.0428378
prediction	0.0426633
"discount rate"	0.0426566
provision	0.0424516
peso	0.0424103
percentage	0.0423083
blueprint	0.0422627
"bond market"	0.0420143
"percentage point"	0.0419359
maturity	0.0417465
fundamental	0.04169
lowest	0.0415395
volume	0.0415156
"earnings growth"	0.0414511
"gross domestic product"	0.0412912
increment	0.0412872
yen	0.0412656
"growth stock"	0.0412642
"test score"	0.0412601
commodity	0.0411669
principle	0.0411376
improvement	0.0410915
volatility	0.0410727
"standard of living"	0.0410284
"life expectancy"	0.0409575
allocation	0.0408772
"vehicle sale"	0.0408124
"stock exchange"	0.0408056
conduit	0.0407631
falls	0.0407144
"focal point"	0.0407059
"Philippine peso"	0.0406561
revenue	0.0406219
specification	0.0406188
symbol	0.0406154
technique	0.0405964
percent	0.0405732
hurdle	0.0405491
rationale	0.040482
"selling price"	0.0404722
bonus	0.0403626
qualification	0.0403099
"tax break"	0.0402647
tariff	0.0402289
prerequisite	0.0402248
equity	0.0402073
))
(bend (desc 8764.38) (sims
curve	0.0863827
Hillsboro	0.0540074
bends	0.0523014
pothole	0.0495187
Eugene	0.0453848
uptick	0.0450015
"first turn"	0.0442991
Medford	0.0420105
))
(bender (desc 6290.04) (sims
Underwood	0.0866928
Nowitzki	0.0815162
Calhoun	0.0808743
Holdsclaw	0.0757757
Odom	0.0726034
Fizer	0.0724483
Dixon	0.0696576
Olowokandi	0.0685552
Wheatley	0.067513
Tuinei	0.0674789
Szczerbiak	0.0674089
Finkel	0.0669077
Murrell	0.0643128
Woodson	0.0641342
Solis	0.0641174
Horry	0.0638484
Padilla	0.0638055
Dunston	0.0635805
Webber	0.0635322
Plante	0.0626799
Chamberlain	0.0626559
Winkler	0.0614252
Jacquet	0.0609185
Neuheisel	0.0607535
"Ken Johnson"	0.0607371
Dayne	0.0606933
Hartman	0.0605796
Druckenmiller	0.0596048
WARRICK	0.0594213
Rosa	0.0593904
Manning	0.0593304
Peterson	0.059011
Kapono	0.0587001
Hakim	0.0581363
Sabonis	0.0581194
"Jonathan Bender"	0.057944
Calipari	0.0578301
Soward	0.0576734
Nailon	0.0571112
Laettner	0.0569355
Kemp	0.0569188
Croshere	0.056567
Atwater	0.0565635
Monahan	0.0561894
Naumann	0.0558384
Coelho	0.055838
Maggette	0.0557783
Jenoff	0.0554647
Simms	0.0554022
Mullin	0.0553536
Langdon	0.0553242
Laperriere	0.0552547
Gugliotta	0.0551771
Feuer	0.0551421
Lambright	0.0550769
Mercer	0.0550587
Strickland	0.0550476
Landry	0.0548828
Claiborne	0.0548664
Matthaeus	0.0548387
Blackman	0.0545556
Berard	0.0544386
Hejduk	0.0543298
Elliott	0.0543169
Skiles	0.0542745
Valenzuela	0.0541427
Salaam	0.0540929
Brock	0.0539925
Kukoc	0.0539897
Romanowski	0.0539683
Kirkpatrick	0.0539625
Gatling	0.0539454
"Elton Brand"	0.0538654
Culpepper	0.0538192
Hardaway	0.0538152
Colangelo	0.0538082
Madden	0.0535751
Wannstedt	0.0535375
Barrie	0.0534848
Mihm	0.053409
Voskuhl	0.053325
Katzenmoyer	0.0532383
Payton	0.053234
Soares	0.0532167
McLaughlin	0.0529955
Moiso	0.0528706
Krasniqi	0.0528229
Hartwig	0.0528177
Winn	0.0527671
"Jim Calhoun"	0.0527288
Vick	0.0526441
bailey	0.052558
Potapenko	0.0524903
Trepagnier	0.0524028
Woodard	0.0523916
Tuberville	0.0523246
Spence	0.0522257
Skinner	0.0522106
Romar	0.0521244
Travolta	0.0520649
Dorsett	0.0520348
Sheehan	0.0519527
Glover	0.0518861
Cota	0.0518675
Fortson	0.0517757
Dele	0.0513339
Primeau	0.0513163
Olajuwon	0.051087
Alderson	0.0510556
McDyess	0.0510382
Dudley	0.0510379
Camby	0.0509973
Brady	0.0509817
Polynice	0.0508834
Abdur-Rahim	0.0506131
Donato	0.0505933
Keane	0.0505115
DONOVAN	0.0505071
Avery	0.0504222
Braswell	0.0504096
Wright	0.0503061
Phills	0.0502578
Lieberthal	0.0501357
Spurrier	0.0500086
McCray	0.0498754
Baerga	0.0498444
Falk	0.0497745
Kidd	0.0496747
Ribbeck	0.0496519
Westbrook	0.0495737
MARBURY	0.0493978
Fleisher	0.0493316
Summitt	0.0492966
Cepeda	0.0492795
Cummings	0.0492067
Donnan	0.0492062
Ponciano	0.0491171
Miles	0.0490119
Laudrup	0.0489782
El-Amin	0.0489117
Anderson	0.0488969
Henson	0.0486867
Mendez	0.0486721
Talebi	0.0485808
Chandler	0.0485705
Holloway	0.0485475
Eizenstat	0.048493
Godfrey	0.0483868
Lowry	0.0483174
O'Sullivan	0.0483087
MCGEE	0.0482959
Andreychuk	0.0482732
Paxon	0.0482075
Bedell	0.0481806
Whitsitt	0.0481285
Sheppard	0.0480746
duncan	0.0480678
Russo	0.0480555
Kearse	0.0480473
Starks	0.0480414
Connolly	0.0480352
"Di Canio"	0.0480095
Tanaka	0.0479853
Mathis	0.0479675
Edelstein	0.0479668
Girardi	0.0479276
Goodman	0.0476579
hodgson	0.0474883
Egan	0.0474803
Shayler	0.0474266
Speedster	0.0473799
Cleaves	0.0473725
Camacho	0.0473501
Bibby	0.0473488
Wadsworth	0.047345
Cienfuegos	0.0473073
McGrady	0.0471647
"La Russa"	0.0471159
Sealy	0.0470777
Aliotti	0.0470704
Cooley	0.0470596
Nunez	0.0470161
Olsen	0.0470133
Hartley	0.0469961
Antley	0.0469761
Fassett	0.046967
Kerr	0.0469479
Zambrano	0.0468865
Baxter	0.0468818
Rosenthal	0.046846
Harrington	0.0468354
Kearin	0.0468145
Artest	0.0468124
Musa	0.0467911
Tkachuk	0.0467338
Ceballos	0.046721
Joklik	0.0466832
Beltre	0.0466478
Owen	0.0466283
Jimenez	0.0465848
))
(bends (desc 1567.17) (sims
"ice crystal"	0.0673356
"air bubble"	0.0666703
pirouette	0.0663579
"utility program"	0.0657011
pinata	0.0648706
gourd	0.0642544
"white line"	0.0612415
"electric current"	0.0608878
"dog bite"	0.0607406
"engine failure"	0.0602683
skeet	0.0600495
knots	0.057249
"asthma attack"	0.0569001
erection	0.0565652
revers	0.0555767
deformity	0.0548478
"evening bag"	0.0541731
clot	0.0514836
gallstone	0.0504751
shoal	0.0499224
"food shop"	0.0496639
"subatomic particle"	0.0495102
cannonball	0.0493083
masturbation	0.0490745
cartwheel	0.0486946
cataclysm	0.0484489
myeloma	0.0480329
"roller skate"	0.0474581
two-seater	0.0468167
"drainage area"	0.0464278
laceration	0.046285
"end run"	0.0462108
"line of products"	0.0455649
"won @@.@ percent"	0.0451437
submersible	0.0450195
abrasion	0.0445586
whiplash	0.0440031
indentation	0.0438136
"mental disorder"	0.0437983
alleyway	0.0434997
hyphen	0.0434905
principality	0.0434602
Reynard	0.0434402
heartburn	0.0432338
dribbling	0.0431948
whistle-blowers	0.0429333
"morning sickness"	0.0429229
"dust storm"	0.0422349
"ball club"	0.0420659
Rockefellers	0.0420447
"trade route"	0.0419893
prong	0.0418644
diagonal	0.041746
rearrangement	0.0417312
dribbler	0.0417075
sloop	0.0416673
slipup	0.0415295
Sultanate	0.0413051
augmentation	0.0412783
personae	0.0410978
meltdowns	0.0406946
"battle line"	0.0405992
nook	0.0404767
"shipwreck survivor"	0.0403114
"Cy Young Awards"	0.0402319
staking	0.0401754
"No. @s"	0.0401058
crazies	0.0400807
))
(Benecol (desc 1797.01) (sims
olestra	0.0986776
mifepristone	0.0863842
RU-@@@	0.0821416
Xenical	0.0771316
canker	0.0717932
Propulsid	0.0716237
Celebrex	0.0697056
"cake mix"	0.0643205
margarine	0.064147
Avonex	0.0641178
"Weight Watchers"	0.0624621
aerosol	0.0618444
Relenza	0.0617977
soy	0.0614256
tamoxifen	0.0610802
hazelnut	0.0609135
"Windows @@@@"	0.0608404
"Microsoft Windows"	0.0598255
Prilosec	0.0584921
capsaicin	0.0584905
spam	0.0577727
irradiation	0.0566096
Claritin	0.0562484
matzo	0.0560306
ENBREL	0.0523402
fruitcake	0.0521305
"ultraviolet light"	0.0519586
barter	0.0516135
cola	0.0512285
"Netscape Navigator"	0.050664
hGH	0.0501396
oatmeal	0.0499859
granola	0.0499164
"START II"	0.0499141
ICQ	0.0493921
low-fat	0.0493118
interferon	0.0492925
TCM	0.048971
AZT	0.0488693
nevirapine	0.0487604
"liquefied petroleum gas"	0.0486677
"Brooks Brothers"	0.0483664
bonbon	0.0482152
"soybean oil"	0.0480406
Botox	0.0478586
pronoun	0.0471733
bruschetta	0.0470589
"cellular telephone"	0.0464621
creatine	0.0464595
Zonolite	0.0464353
caster	0.0460465
Athlon	0.0459808
hummus	0.0458953
"human growth hormone"	0.0458248
tequila	0.0456873
"electrical device"	0.0455418
methamphetamine	0.0453389
blueberry	0.0452776
"Palm VII"	0.045262
"Sherlock Holmes"	0.0452231
licorice	0.045158
"Port Klang"	0.0451502
thalidomide	0.0447996
"Joe Camel"	0.0447876
Herceptin	0.0447444
Zyvox	0.0447442
defoliant	0.0446139
Redux	0.0445836
LIPITOR	0.0445123
videophone	0.0445068
"psychological warfare"	0.0444436
"oil paint"	0.0443433
Encarta	0.0443117
Toysmart	0.0443029
Propecia	0.0442968
CFCs	0.0438896
nacho	0.0438868
stents	0.0438413
cornbread	0.0435857
tapa	0.0432792
"dairy product"	0.0432615
Levi's	0.0432278
Monkees	0.0431929
"GI Joe"	0.0430912
starch	0.0430402
"tax shelter"	0.0428888
copier	0.0427559
Epogen	0.0424857
telemedicine	0.0424722
fenfluramine	0.042222
Anelka	0.0420739
"flat tire"	0.0420614
"Pepsi Cola"	0.041926
defibrillators	0.041727
downdraft	0.0414979
Prozac	0.0414933
"specialty chemical"	0.0414494
"poison gas"	0.0414306
"low-fat diet"	0.0412204
"wrapping paper"	0.0411617
"Playstation @"	0.0410402
"birth control"	0.041029
Jukebox	0.0410207
Erythropoietin	0.0410049
"trade bill"	0.0409811
"poppy seed"	0.0409304
"health food"	0.0408703
sushi	0.0407719
"coal gas"	0.040743
REPELLENT	0.0406718
talc	0.0406299
biomass	0.0405314
Solaris	0.040447
homocysteine	0.0403419
Passover	0.0402562
Rezulin	0.0402491
hemoglobin	0.0401461
Tamale	0.0401364
echinacea	0.0400192
))
(Benedetti (desc 1138.15) (sims
Kumar	0.145713
Ershad	0.116737
Aventajado	0.112488
Alves	0.108815
Singson	0.108553
Eichmann	0.105332
Pamela	0.103149
Kiareldeen	0.100104
Cary	0.0991772
Inman	0.0985514
Agca	0.0970242
Weisman	0.0942476
Ahmad	0.0941852
Mcbride	0.0936706
Hofer	0.0928456
Polian	0.0917941
Farber	0.0896562
Polly	0.0894929
Whitehead	0.088695
Rubenstein	0.0880608
Babitsky	0.0863958
Schilling	0.0862945
Sherrill	0.0862715
DeFrantz	0.0855842
Ruehe	0.0851779
Ebersol	0.0850032
Ainge	0.0847626
Siazon	0.0844495
Echols	0.0833101
Ntuyahaga	0.0832602
Liao	0.0831947
Meissner	0.0830649
"Madalyn Murray O'Hair"	0.0828698
Pollard	0.0828645
Obeid	0.0827853
Allchin	0.0821815
Diouf	0.0821363
Havelange	0.0815907
Fleischer	0.0815428
Goff	0.0814064
Verney	0.0807279
Donohue	0.0806487
Burleigh	0.0801854
Khalil	0.0793254
Barrie	0.0785943
Allard	0.078543
Posner	0.0781494
tribesman	0.0776294
Reimer	0.0773871
Advani	0.077312
Gerstner	0.0772657
Ozersky	0.0768248
Tran	0.0762632
Cooley	0.0761283
Grasso	0.0757938
Darnell	0.0756373
Dungy	0.0752253
Jessica	0.0750583
Vogel	0.0744497
Dirani	0.0742088
Ftorek	0.074161
Eizenstat	0.0741234
Kearin	0.0736863
Larson	0.0734998
Kyprianou	0.073164
Indyk	0.0729631
Seward	0.0729147
Chu	0.0728899
Guthridge	0.0727074
Lim	0.0726369
Cline	0.0725835
GAGE	0.0725104
Schaeffer	0.0721853
Engel	0.0720403
Baugh	0.0719856
McKenna	0.0719142
beamer	0.0712533
Kasoulides	0.0711105
Brawley	0.0707918
Braswell	0.070597
Rankin	0.0705483
Robson	0.0705461
Contreras	0.0705189
Clements	0.0704069
Hine	0.0704003
Piot	0.0703334
Wolfson	0.0703035
Duffy	0.0701066
Ruggiero	0.0698062
Surin	0.069495
Eszterhas	0.0693356
Zou	0.0692979
Xanana	0.0692675
Kissinger	0.0692449
Lau	0.0691729
Xiang	0.0691584
Idris	0.0690988
Cassidy	0.0690071
Storin	0.0689445
Waxman	0.0689237
Moonves	0.0688749
LeFave	0.0685471
Flanagan	0.0684817
Doggett	0.0683854
Sato	0.0683117
Lin	0.0682575
Garber	0.0680473
Mikhailov	0.0679049
Mullinax	0.0678558
"school boy"	0.0677773
Gusmao	0.0676184
Kodikian	0.0676019
Abdel-Meguid	0.0674401
Hamill	0.0673977
Jobe	0.0673126
Chappell	0.0670116
Moakley	0.0668855
Greenwald	0.0667481
Rong	0.0666924
Tsang	0.066639
Schuerholz	0.0665118
Ono	0.0664954
Silverstein	0.0664823
Downey	0.066371
Guidry	0.0663377
Dunne	0.0662887
Lansky	0.0662335
Lessig	0.0660802
Karbaschi	0.0657904
Zucker	0.0657402
Soyinka	0.0654438
Solich	0.0652454
Skiles	0.0652426
O'Sullivan	0.0652227
Connelly	0.0651351
Scheck	0.0649819
McCartney	0.0649584
Merritt	0.0647255
Markey	0.0646647
Bishara	0.0645569
Stubbs	0.0645551
Bradshaw	0.0644388
Kyl	0.0643827
Insulza	0.0643319
Reinhardt	0.0641516
Sheng	0.0640866
Ikimi	0.0640536
Cui	0.064015
Alarcon	0.063989
Samuelson	0.0639386
Babcock	0.0639369
Dunleavy	0.0639184
Ganassi	0.0638999
Ochoa	0.0636327
Manley	0.0635833
Patel	0.0633797
Imperatori	0.0631858
Halberstam	0.0629022
Kaunda	0.0628729
Groening	0.062831
wrongdoer	0.0623036
Gossage	0.0621368
Naumann	0.061994
hodgson	0.0619328
"hotel manager"	0.0618097
Rothenberg	0.0615184
Ganzouri	0.0611719
Harmoko	0.0610909
Markovic	0.0610802
Bergeron	0.0609696
Harmon	0.0608865
Cremins	0.0608405
Vidal	0.0606215
Sapp	0.0606106
Fay	0.0605151
Tian	0.0604845
Hirst	0.0603972
Roberson	0.0603443
Popovich	0.0602637
Ebbers	0.0601343
Beazley	0.06004
Velayati	0.0600033
Maharaj	0.0599953
Pollack	0.0599485
Priebke	0.059876
Shayler	0.0598099
Steiner	0.0596486
Sha	0.0596005
Xiao	0.0594218
Dragila	0.0593516
Danner	0.0590878
Ikeda	0.0590005
Hecht	0.0588882
Heinrichs	0.0588441
Guerra	0.0588166
Bove	0.0588009
Paxon	0.0587878
Alatas	0.0587373
Sommer	0.0585699
Kern	0.0585675
))
(Benedict (desc 2828.78) (sims
Meissner	0.110768
Waxman	0.100341
Tuttle	0.0966557
Hahn	0.0946845
Devine	0.0912345
Fleischer	0.0882968
Canady	0.0881704
Goldin	0.0853184
Rivlin	0.0845719
Flanagan	0.0843784
Lowry	0.0840585
Bowen	0.083334
Passarella	0.0820737
Knapp	0.0820226
Ebersol	0.0819849
Cline	0.0807427
Moakley	0.0806166
Weiner	0.078855
Piot	0.0787558
Copeland	0.0782167
Fiorina	0.0780579
Prewitt	0.0776996
Markovic	0.077631
Wenger	0.0770254
Henning	0.0767399
Solich	0.0767272
Molinari	0.0765842
Duffy	0.0764818
Hardy	0.0761474
Advani	0.076132
Kirkpatrick	0.0760362
Cashman	0.0759914
DeFrantz	0.0759876
Shapiro	0.0757151
Rubenstein	0.0755518
Weinberg	0.0754447
Sharma	0.0752096
Ono	0.0745013
Pierson	0.0741657
Lehane	0.0732244
Ruehe	0.0729905
Brenner	0.0728463
O'Sullivan	0.0726243
Briscoe	0.0722862
Shriver	0.0722279
Sheehy	0.0719811
Vogel	0.0719333
Insulza	0.071743
Caddell	0.0716937
Jaffe	0.0716088
Zuckerman	0.0714608
Wan	0.0709634
Britton	0.0708378
Skiles	0.0706255
Kyprianou	0.0705761
Oliveira	0.0704032
Sorensen	0.0702318
Jovanovic	0.0701457
Grossman	0.0697411
Rosenthal	0.0697101
Farber	0.0696597
Farrell	0.0695108
Ainge	0.0694444
Haines	0.0693307
McDonnell	0.0693011
Davidson	0.0692935
Baum	0.0691126
hodgson	0.0690967
Singson	0.0690392
Weil	0.0689103
Ikimi	0.0688648
Heinrichs	0.0688369
Arbour	0.0686715
Butterworth	0.0686581
Hartley	0.0685075
Grunwald	0.0683245
Hutchinson	0.0681876
Polian	0.0680736
Tuberville	0.068043
"John Kelly"	0.0677995
joiner	0.0676574
Bellamy	0.0674348
Solis	0.0673423
MURTHA	0.0672796
Lockyer	0.0672648
Azinger	0.0669495
"administration official"	0.0668076
Hanley	0.066801
Roberson	0.0667932
Rubinstein	0.0667888
Orton	0.0667415
Edelman	0.0665382
Harman	0.0661779
Greenwald	0.0660622
Manheim	0.0660544
Nadler	0.0659859
Merritt	0.0659533
Schuerholz	0.0658993
Barlow	0.0657759
Gaffney	0.0657549
Sensenbrenner	0.0657431
Donohue	0.0657351
Aventajado	0.0656745
Satcher	0.0656307
Auriemma	0.0655084
McFadden	0.0654955
Scruggs	0.0654429
Tharp	0.0654378
Barrett	0.0654064
Hamlin	0.0653976
Kurth	0.0653492
Cleary	0.0651892
COYNE	0.0651379
Valenti	0.0649659
Azizah	0.064876
Paxon	0.0647229
McDaniel	0.0646658
Robson	0.0646024
Engelberg	0.0645524
Talebi	0.0645223
Jayakumar	0.0645063
Couric	0.0645042
Eizenstat	0.0643774
Betts	0.0642497
Farley	0.064191
Finkel	0.0641339
Suarez	0.064054
Meehan	0.0637422
Hickman	0.0634747
Naumann	0.0633899
Lockwood	0.06331
Michaels	0.063202
Klestil	0.0631395
Shamshad	0.0631215
Hecht	0.0630139
Arron	0.0628673
Rong	0.0626816
Wolfson	0.0624536
Wasserstein	0.0624467
Babcock	0.0624439
Yoon	0.0624082
Sheehan	0.0624047
Menchu	0.0622937
Dowd	0.0622327
Sasser	0.0622103
Tarawneh	0.0621662
Gilman	0.0620608
Tsang	0.0618672
Mucha	0.0618521
Gullikson	0.0618448
Fay	0.0618003
Muckler	0.0617903
Redgrave	0.0617774
Barshefsky	0.0616547
"Rich Brooks"	0.0615766
wen	0.0615625
Velayati	0.061484
Kasoulides	0.0614392
Bergeron	0.0614062
Camacho	0.0613617
Postol	0.0613042
Kyl	0.0612568
"Zhou Nan"	0.0612103
Hartman	0.0611847
McGuire	0.0610704
Tomey	0.0610539
Xiang	0.0610028
LeBlanc	0.0609281
Rowley	0.0608676
Neff	0.0607215
Keenan	0.0605429
Rothenberg	0.060489
Augustine	0.0604629
Bochy	0.0604484
Gormley	0.0602652
Troussier	0.0602049
Ashrawi	0.0600011
Moonves	0.0599554
Dewine	0.0597742
Jensen	0.0597137
Kelso	0.0596825
Jeffers	0.0594999
Harkin	0.0594704
Fink	0.0594268
Ganassi	0.059424
Hanna	0.0592301
Brazile	0.0591882
Okada	0.0591783
Popovich	0.0591731
O'Connell	0.0590552
Swenson	0.059024
Strauss-Kahn	0.0588025
krueger	0.0588017
Ruff	0.0587517
Menard	0.0587243
Morley	0.0586069
Alioto	0.0585773
Malu	0.0583977
Feng	0.0582948
Rendell	0.0582756
))
(benediction (desc 1495.86) (sims
invocation	0.118355
"inaugural address"	0.0851829
homily	0.0842027
spiel	0.0839064
"keynote address"	0.0831437
"marriage proposal"	0.0813643
stanza	0.0786472
"Lord's Prayer"	0.0783762
oration	0.0781639
fillip	0.0739527
"honorary degree"	0.0728976
sendoff	0.0722458
eulogy	0.0722102
soliloquy	0.068996
"form letter"	0.0689056
"public lecture"	0.0684167
send-off	0.0676178
assent	0.0672654
smooch	0.0665414
"Hail Mary"	0.0661789
fierceness	0.0661638
hymn	0.0653699
"keynote speech"	0.0647816
knighthood	0.0635284
"Policy Address"	0.0632847
comeuppance	0.0625122
zingers	0.0615644
keynote	0.0612681
"margin call"	0.0610031
culpa	0.060703
"progress report"	0.0601193
admonition	0.0587951
zinger	0.0578605
crowd-pleaser	0.0578231
"Legion of Honor"	0.0568951
fief	0.0567491
"day game"	0.0562407
jeremiad	0.0560512
schematic	0.0559028
"knockout punch"	0.0555614
"dental care"	0.0554571
"medical report"	0.0549095
witticism	0.0544992
foretaste	0.0540983
processional	0.0533414
"electric shock"	0.0533027
clowning	0.0531024
psalm	0.0527432
"a few lines"	0.0526552
shootaround	0.0526308
harangue	0.0522957
"tax treatment"	0.0522308
headliner	0.052166
"swan song"	0.0520958
incantation	0.050681
"history lesson"	0.0505932
lamentation	0.0494012
"bear hug"	0.0493836
"personal letter"	0.0492504
testimonial	0.0489017
M.A	0.0488563
"distress signal"	0.0480647
"frame of reference"	0.0480327
headliners	0.0479766
"speeding ticket"	0.0478869
ovation	0.0477028
drivel	0.0475651
walk-through	0.0475536
summation	0.0473847
thumbs-up	0.0470393
"bill of health"	0.0467857
"golden rule"	0.0465035
bromide	0.0464424
exhortation	0.0460502
"sense of purpose"	0.0460306
penitence	0.0456481
denouncement	0.0451132
B.A	0.0450927
"credit report"	0.0449116
pompadour	0.0448558
"all clear"	0.0448022
iconography	0.0446046
cantata	0.0442016
"stump speech"	0.0440934
coda	0.0439316
"standing ovation"	0.0438175
"medical checkup"	0.0437925
"top billing"	0.0437315
"Christmas gift"	0.0436431
"raw data"	0.0435019
"personal appeal"	0.0432331
TPA	0.0430421
platitude	0.0429352
pharmacologist	0.0429198
"Star-Spangled Banner"	0.0428183
reassurance	0.0426157
"cold shoulder"	0.0422238
weigh-in	0.042094
yelp	0.0420691
"legal representation"	0.0420296
"national anthem"	0.0420141
high-fives	0.0420092
commendation	0.0419912
screed	0.041643
checklist	0.0413516
capella	0.0413362
acknowledgement	0.0411974
pleaser	0.0411744
"piece of music"	0.0411482
student-athlete	0.0409582
pep	0.0408405
litany	0.0407863
valedictorian	0.0407093
dirge	0.040526
"curtain call"	0.0404828
go-round	0.0404675
salutation	0.0404085
"Medal of Honor"	0.0403942
"case history"	0.0403369
striptease	0.0401762
"rule of evidence"	0.0401246
elegy	0.0400992
approximation	0.0400299
))
(benefactor (desc 12383.4) (sims
philanthropist	0.108981
patron	0.102207
donor	0.0956788
contributor	0.0905711
backer	0.0897135
trustee	0.0808873
collector	0.0704819
financier	0.0696207
"power broker"	0.0692228
breadwinner	0.0666922
booster	0.0658843
beneficiary	0.0658566
supporter	0.0639726
"real estate developer"	0.0629794
Alumni	0.0617889
architect	0.0617866
lobbyist	0.0613614
kingmaker	0.0611355
giver	0.0595016
"faculty member"	0.0594157
landlord	0.0586048
constituent	0.0583882
aspirant	0.0582464
promoter	0.0579425
"newspaper publisher"	0.0578549
endowment	0.0577655
developer	0.057249
Industrialist	0.0572271
confidant	0.0569688
"church member"	0.0567534
curator	0.0565611
"board member"	0.056191
founder	0.0559252
restaurateur	0.0553881
alumnus	0.0552352
rector	0.0552147
"chairman emeritus"	0.0551677
perpetrator	0.0547638
acquirer	0.0544918
operative	0.0544279
funders	0.0544202
confidante	0.0542289
"private foundation"	0.0540205
admirer	0.0539853
businessman	0.0539845
"trading partner"	0.0539126
custodian	0.0534936
socialite	0.053267
stockbroker	0.0532192
"venture capitalist"	0.0532162
mover	0.0528755
proponent	0.0527245
"driving force"	0.0526471
landowner	0.0526257
"decision maker"	0.0526169
underwriter	0.05259
mentor	0.0524321
"interest group"	0.0523843
fund-raiser	0.0523525
"trial lawyer"	0.0522942
advertiser	0.0522242
archivist	0.0519979
supplier	0.0516733
adversary	0.0514762
executor	0.0510247
banker	0.0508201
consortia	0.0506628
bidder	0.0506091
lender	0.0504298
shipbuilder	0.0503985
treasurer	0.0501871
"business executive"	0.0500506
speechwriter	0.0498521
cinematographer	0.0497439
entrepreneur	0.0496902
luminary	0.0496303
"elected official"	0.0494971
"art dealer"	0.049311
"national leader"	0.0491926
choreographer	0.0489031
eccentric	0.0487644
acquaintance	0.0487441
"investment adviser"	0.0482573
tycoon	0.0482443
prophet	0.0482232
stockholder	0.048202
insurer	0.0481917
performer	0.0481327
recipient	0.0481144
activist	0.0478248
cartoonist	0.0476883
oligarch	0.0475887
"art director"	0.0475591
borrower	0.0475459
overseer	0.0475327
"political leader"	0.0474417
"foot soldier"	0.0474194
collaborator	0.0474048
"labor union"	0.0473722
educator	0.0472524
antagonist	0.0471493
organizer	0.0470172
father-in-law	0.0469833
administrator	0.0469251
nemesis	0.0468373
"second person"	0.0468353
"media consultant"	0.0467721
officeholder	0.046769
campaigner	0.0467275
"investment banker"	0.0466733
oilman	0.0465512
contractor	0.0465336
"success story"	0.0464642
heir	0.046456
decision-makers	0.0463784
stalwart	0.046363
inquisitor	0.0462316
sportscaster	0.0460997
protector	0.0460007
"drawing card"	0.0459799
savior	0.0459609
headmaster	0.0458313
strategist	0.0457077
interlocutor	0.0456791
consultant	0.0456649
subcontractor	0.0456449
taxpayer	0.0455321
battleground	0.0455067
billionaires	0.0454393
underling	0.0454124
dean	0.0453826
bearer	0.0452793
issuers	0.0452684
troubleshooter	0.0452499
charity	0.0451968
shareholder	0.0451396
"civic leader"	0.0450886
motivator	0.0450834
licensee	0.0450768
lover	0.0449327
crony	0.0448962
ballplayer	0.044895
debtor	0.0448838
"labor leader"	0.0448474
namesake	0.0448463
counselor	0.0447457
"staff member"	0.0446739
"foster parent"	0.0446075
"insurance agent"	0.0445936
publisher	0.0445375
surrogate	0.044514
evangelist	0.0444019
rabbi	0.044367
"corporate executive"	0.0442678
cog	0.0442488
philanthropy	0.0441232
elder	0.0440729
Litigator	0.0440557
"young actress"	0.0440418
statesman	0.0439914
repository	0.0439453
standard-bearer	0.0439111
disciple	0.043886
"interior designer"	0.0438796
celebrity	0.0438571
recluse	0.043759
payer	0.0436872
inventor	0.0436628
presenter	0.0436501
employer	0.0435925
accountant	0.0434156
"financial officer"	0.043161
translator	0.0431425
"basketball coach"	0.0431164
proprietor	0.0429741
photographer	0.042955
arbiter	0.0429546
bugaboo	0.0429508
ringleader	0.0429312
"traffic cop"	0.0429077
centrist	0.0427043
initiator	0.0427015
organist	0.0426111
connoisseur	0.0425669
instigator	0.0425017
"life insurer"	0.0424077
endorser	0.042377
"investment trust"	0.0423726
"social event"	0.0423529
villain	0.0422945
"political action committee"	0.0422575
priest	0.0422106
"foreign service officer"	0.0421987
auctioneer	0.0421777
builder	0.0421272
"state senator"	0.042055
entertainer	0.0419726
foundations	0.0419395
practitioner	0.0416554
pastor	0.041553
))
(beneficiary (desc 43303.6) (sims
recipient	0.181017
enrollee	0.14386
"senior citizen"	0.123047
retiree	0.117787
policyholder	0.113166
patient	0.106745
taxpayer	0.105308
customer	0.104828
consumer	0.102776
homeowner	0.10182
borrower	0.101685
senior	0.0998213
buyer	0.0991026
user	0.0968536
victim	0.0968162
subscriber	0.0966909
elderly	0.0946289
individual	0.0906225
household	0.0904489
employee	0.0898972
worker	0.089648
employer	0.0893522
farmer	0.089259
resident	0.0882456
claimant	0.08728
shareholder	0.0866922
depositor	0.0865417
client	0.0864686
tenant	0.0859989
"married couple"	0.0848342
investor	0.0840119
American	0.0820008
citizen	0.0819624
purchaser	0.0817782
exporter	0.0808827
participant	0.0791375
smoker	0.0772935
poor	0.0770239
sufferer	0.0760232
member	0.0759453
donor	0.0758913
"home buyer"	0.0758816
applicant	0.0756667
contributor	0.0755673
child	0.0746612
renter	0.0746273
pensioner	0.0742035
uninsured	0.0738093
family	0.0737731
student	0.0736941
Filipino	0.0736181
provider	0.0733264
traveler	0.0730761
Californian	0.0730467
laborer	0.072914
adult	0.0716624
debtor	0.0716315
holder	0.0716177
importer	0.071508
contractor	0.070967
supplier	0.070721
parent	0.0703903
heir	0.0699886
homeless	0.0698715
population	0.0691863
seller	0.0689484
landowner	0.068913
unemployed	0.0688827
sponsor	0.0688446
lender	0.0685898
"wage earner"	0.0682377
insurer	0.0682033
bidder	0.0679988
voter	0.0678568
creditor	0.0676639
"school district"	0.0676428
"union member"	0.067631
owner	0.0675867
producer	0.0672529
orphan	0.0671292
shopper	0.0663618
"property owner"	0.0663371
grower	0.0662977
benefactor	0.0658566
Hispanic	0.0658148
benefit	0.0658127
person	0.0657075
Texan	0.065572
breadwinner	0.0655607
youngster	0.0654497
"insurance company"	0.065428
plaintiff	0.0651491
dependent	0.0651069
diabetic	0.0646066
partner	0.0645971
patron	0.0645823
backer	0.0645585
"college student"	0.0644486
defendant	0.0640624
survivor	0.0635528
offender	0.0634079
Reader	0.0632281
Mexican	0.0631771
supporter	0.0627095
proponent	0.0624948
earner	0.0624532
"civil servant"	0.0624494
immigrant	0.0623215
payer	0.0622256
teacher	0.0621889
inmate	0.0621424
"AIDS patient"	0.0619676
"Sri Lankans"	0.0619607
ratepayer	0.0618795
refugee	0.061611
constituent	0.0615437
pupil	0.0614972
passenger	0.0611585
"business traveler"	0.0607564
viewer	0.060461
trustee	0.060105
inhabitant	0.0599585
enterprise	0.0599337
needy	0.0597212
visitor	0.0596703
corporation	0.0595758
listener	0.0593816
Beijingers	0.0593209
doctor	0.0592186
executor	0.0590994
commuter	0.0590667
"health care provider"	0.0589122
spouse	0.0588256
"New Yorker"	0.0585999
stockholder	0.0585111
Tibetans	0.0578366
"card holder"	0.0577189
tourist	0.0576877
motorist	0.0575485
developer	0.0574942
sector	0.057454
graduate	0.0572739
manufacturer	0.0571647
retailer	0.0568363
"foster child"	0.0567941
schoolchildren	0.0567929
volunteer	0.0566621
firm	0.056635
HMO	0.0564117
disabled	0.0561126
public	0.0560457
medicare	0.0558455
candidate	0.0557133
athlete	0.0556847
driver	0.0555472
migrant	0.055494
foreigner	0.055407
professional	0.0553105
operator	0.0552963
veteran	0.0551201
advocate	0.0550415
loser	0.0550262
million	0.0549149
amount	0.054844
physician	0.0545103
occupant	0.0545067
couple	0.0544998
underwriter	0.054486
"over @@"	0.0544239
merchant	0.0543411
Canadian	0.0543171
charity	0.0541591
Kenyan	0.0541354
objective	0.0539404
opponent	0.0538552
perpetrator	0.0537201
franchisees	0.0536657
"farm worker"	0.0535745
prisoner	0.0534906
"family member"	0.0534446
"financial institution"	0.0534195
"prescription drug"	0.0532776
dweller	0.0532694
bulk	0.05323
"trading partner"	0.0531337
Georgian	0.0530319
advertiser	0.0530223
nominee	0.0529891
respondent	0.0529846
African-American	0.0529681
violator	0.0529674
"nursing home"	0.0529462
majority	0.0529187
dealer	0.0528815
carrier	0.0527791
shipper	0.0526665
poorest	0.0523796
distributor	0.0523414
addict	0.0522604
"job seeker"	0.0522497
))
(benefit (desc 175121) (sims
"health benefit"	0.174204
pension	0.168601
saving	0.156295
"health insurance"	0.155475
subsidy	0.153329
cost	0.151202
payment	0.149956
"health care"	0.143426
coverage	0.142361
compensation	0.140856
income	0.137715
pay	0.136236
insurance	0.134253
salary	0.1336
bonus	0.133456
money	0.133291
"Social Security benefit"	0.132599
"tax break"	0.131222
protection	0.130171
assistance	0.130147
incentive	0.130132
wage	0.129718
expense	0.12883
funding	0.127393
risk	0.125737
fee	0.124884
tax	0.124688
"retirement benefit"	0.124583
advantage	0.12427
value	0.124071
interest	0.122688
"tax credit"	0.121632
relief	0.120162
profit	0.119668
program	0.119251
allowance	0.119203
opportunity	0.118877
contribution	0.118199
aid	0.117033
"medical care"	0.116129
credit	0.115068
care	0.114203
"tax cut"	0.113502
reward	0.113385
revenue	0.113259
service	0.11312
effect	0.112826
impact	0.112006
welfare	0.110919
fund	0.110445
reimbursement	0.109915
education	0.109405
need	0.10838
privilege	0.108167
importance	0.107341
access	0.106845
improvement	0.10647
use	0.1063
gain	0.106137
reduction	0.105019
perk	0.104868
employment	0.104772
"food stamp"	0.104689
loan	0.104632
dividend	0.104562
option	0.104557
"social security"	0.10403
amount	0.103522
spending	0.103096
quality	0.102388
"prescription drug"	0.10236
"stock option"	0.102158
premium	0.101905
payoff	0.101846
financing	0.101435
support	0.101328
Housing	0.101149
grant	0.101147
scholarship	0.100971
treatment	0.100721
development	0.0999381
help	0.0996678
investment	0.0989028
"job security"	0.0988541
increase	0.0987919
issue	0.098627
wealth	0.0985422
damage	0.0982963
danger	0.0982692
Medicaid	0.0982337
potential	0.0979249
purpose	0.0977466
rebate	0.0976831
right	0.0975289
exemption	0.0971811
change	0.0970259
consequence	0.0967007
status	0.0963618
responsibility	0.0960095
guarantee	0.0959899
gift	0.0959877
package	0.0958036
refund	0.0957676
growth	0.0952125
policy	0.094579
asset	0.0941333
resource	0.0938361
job	0.0936824
Promotion	0.0934011
plan	0.093329
measure	0.0929751
donation	0.0926521
"child care"	0.0926514
effectiveness	0.0924715
problem	0.092309
result	0.0920811
liability	0.0918805
earnings	0.091771
standard	0.0915702
provision	0.0914809
"pay raise"	0.0911669
voucher	0.0908563
deduction	0.0907912
health	0.0906312
burden	0.09051
security	0.0904059
surplus	0.0895635
sale	0.0894743
"minimum wage"	0.0893795
discount	0.0892536
training	0.0891673
"wage increase"	0.0891364
rate	0.0887927
medicare	0.0884715
requirement	0.0882731
product	0.0882284
reform	0.088161
prosperity	0.0878029
significance	0.0875901
harm	0.0874974
efficiency	0.0874401
challenge	0.0872595
expenditure	0.0868836
price	0.086882
obligation	0.0868532
convenience	0.0865884
safety	0.0865809
debt	0.0861763
power	0.0861304
distribution	0.0855626
strength	0.0855446
"social service"	0.0855347
cash	0.0851977
system	0.0851239
freedom	0.0847458
"financial aid"	0.0846658
"income tax"	0.0846051
success	0.0839292
technology	0.0838184
ability	0.0837147
progress	0.0836287
Tuition	0.0835887
hazard	0.0835579
return	0.0826955
"insurance premium"	0.0826789
budget	0.0826084
future	0.0819952
productivity	0.0818454
commitment	0.0818152
information	0.0817304
activity	0.0814382
supply	0.0814254
boost	0.0814012
achievement	0.0813166
promise	0.0813067
concession	0.081299
participation	0.0811841
equality	0.0809779
"legal fee"	0.0809381
business	0.0804866
implication	0.0803535
prospect	0.0803245
concern	0.0803209
project	0.0802764
number	0.0801466
rent	0.0800513
purchase	0.0799585
priority	0.0796969
aspect	0.0796907
role	0.0795753
flow	0.0794945
stability	0.0793871
flexibility	0.0793608
allocation	0.0791669
application	0.0791168
solution	0.0791131
share	0.078807
condition	0.078767
strategy	0.0787585
cut	0.0786866
))
("benefit concert" (desc 2283.84) (sims
fundraisers	0.0940926
"prayer meeting"	0.0871095
gala	0.0830596
"fire drill"	0.0817585
shindig	0.0812951
confab	0.080381
symposia	0.0797452
recital	0.0786064
"garden party"	0.0761517
telethon	0.075577
"open house"	0.0734578
raffle	0.0733809
"road show"	0.073366
"house party"	0.0732378
soiree	0.0729488
"religious service"	0.0717396
"Lincoln Center Festival"	0.0699581
fundraiser	0.0679827
"fund-raising campaign"	0.0674197
spacewalks	0.0665997
"softball game"	0.0661493
"educational activity"	0.0659283
"space walk"	0.0656853
"church service"	0.0644756
"New York State Theater"	0.0638068
retrospective	0.0635973
"death warrant"	0.0632764
"military drill"	0.0631138
reenactment	0.0626032
teach-in	0.0617655
"Consultative Group"	0.0615483
rollovers	0.0613793
jamboree	0.06075
"Radio City"	0.0607443
"prayer service"	0.0589797
"wedding ceremony"	0.0580122
powwow	0.0579206
"religious ceremony"	0.0577358
"fund-raising drive"	0.0575347
lockdown	0.0570724
"jam session"	0.0560557
"wedding reception"	0.056018
roadshow	0.055592
"Miami Arena"	0.0548857
"variety show"	0.0544003
"theatrical production"	0.0541266
"subversive activity"	0.0541108
get-togethers	0.0538071
"waiting game"	0.0536551
"theatrical performance"	0.0529457
"swim meet"	0.0521575
"town meeting"	0.0520864
"Grammy Awards"	0.0520067
pro-am	0.0516674
"trial balloon"	0.0516118
"Emmy Awards"	0.051515
"war game"	0.0509854
physicals	0.0508008
"World AIDS Conference"	0.0504979
extravaganza	0.0504736
"baseball game"	0.0501677
"Joyce Theater"	0.0500051
AMM	0.0497387
"World Congress"	0.0495397
friendlies	0.0495037
"wedding party"	0.049279
IGC	0.0490997
"surgical procedure"	0.0489408
cookout	0.0488175
"fish fry"	0.0488074
"car race"	0.0487142
"Earth Summit"	0.048433
matinee	0.0483771
mini-camp	0.0481631
"ASEAN Ministerial Meeting"	0.0479277
"International AIDS Conference"	0.0478296
"three-day event"	0.0477774
"art exhibition"	0.0477594
"protest march"	0.0468991
brunch	0.0462974
"chamber orchestra"	0.0460765
Grammys	0.0460049
near-misses	0.0457693
striptease	0.045763
checkup	0.045627
"Tony Awards"	0.0453831
"dinner party"	0.0452659
minicamps	0.0452302
"rock concert"	0.0450498
Polgar	0.0450389
vasectomy	0.0450058
"Passion play"	0.0448716
"P.S @@@"	0.0448693
"boat race"	0.0447722
manoeuvre	0.0446698
raiser	0.0446688
Haj	0.0445002
"World Youth Games"	0.0442645
tasting	0.0442368
"International Congress"	0.0440862
"jazz festival"	0.0433329
"Symphony Hall"	0.0433204
"Dorothy Chandler Pavilion"	0.0432386
"Walter Reade Theater"	0.0430829
"day game"	0.043053
"Ministerial Conference"	0.0429143
"ad blitz"	0.0428976
"tea party"	0.042785
Seder	0.0427302
"social event"	0.0426916
"victory celebration"	0.0426687
"Fourth World Conference"	0.042479
mitzvah	0.042394
"tool kit"	0.0420119
commemoration	0.041886
sextet	0.0417938
heatwave	0.0416739
"public lecture"	0.0415957
"MLS Cup"	0.0414423
Opens	0.0412473
"test match"	0.0412228
"basketball game"	0.0410668
"International Symposium"	0.0409516
"Superintendent Ruben Zacarias"	0.0408729
smokescreen	0.0407103
"Piedmont Hospital"	0.0404577
mini-summit	0.0402465
C-section	0.0402314
"tax hike"	0.0401366
biennial	0.0401187
"puppet show"	0.0400616
Tabernacle	0.0400372
Olympiad	0.0400155
))
("benefit program" (desc 1202.71) (sims
"entitlement program"	0.235654
"tax change"	0.126382
"death benefit"	0.120409
whistleblowers	0.110677
"incentive program"	0.0930644
"retail operation"	0.0895156
"incentive plan"	0.0885695
"pricing system"	0.0869259
"fringe benefit"	0.0867852
"endowment fund"	0.0867833
"retirement benefit"	0.0865008
PACs	0.0832257
"disability benefit"	0.083034
"Strategic Petroleum Reserve"	0.0826226
"retirement plan"	0.0800455
IOU	0.0769231
entitlement	0.0768891
"regulatory agency"	0.0752707
homepages	0.075062
"tax system"	0.0747627
"transfer payment"	0.073117
"health benefit"	0.0726612
copayments	0.0726434
"minimum wage"	0.0714432
"trust fund"	0.070643
megaplexes	0.0705915
"rule of evidence"	0.0704002
metropolises	0.0688639
"line of business"	0.0687926
whistle-blowers	0.0670451
"planning board"	0.0662521
"monetary system"	0.0661796
"line of products"	0.0648798
hypotheses	0.0648729
pluses	0.064194
"drug czar"	0.063873
"bank failure"	0.063796
"subject area"	0.0636406
outlay	0.062819
chipmakers	0.0626245
"bankruptcy law"	0.0624682
"computer language"	0.0623924
"Labor office"	0.0619718
ISPs	0.0618137
"tax benefit"	0.061224
"trade policy"	0.0612019
crowd-pleaser	0.0611976
"Social Security benefit"	0.0610423
"business line"	0.0606586
nonevent	0.0606301
"borrowing cost"	0.0601098
"Protestant denomination"	0.0601038
specialities	0.0600774
"Consumer Product Safety Commission"	0.0596729
caseloads	0.0591597
"teaching method"	0.0590401
"compensation package"	0.0588578
"Bill of Rights"	0.0588568
"private foundation"	0.0587448
"data system"	0.0584578
"vital organ"	0.0584398
ism	0.0583889
megamergers	0.0580622
"computer application"	0.0580171
overdraft	0.0579912
"key rate"	0.0579159
"work unit"	0.05779
"battle plan"	0.0577757
"Southern Democrats"	0.0577488
"price support"	0.0574385
"tax policy"	0.057319
"spending cut"	0.0570298
"bond offering"	0.0568181
"auto company"	0.0566542
"software product"	0.0566202
"geographic region"	0.0562273
"extracurricular activity"	0.0558919
"cash crunch"	0.055814
"ad blitz"	0.0556157
"policy change"	0.05552
"debt load"	0.0555032
"quota system"	0.0550384
inspectorate	0.0550322
deductibles	0.055017
"electoral system"	0.0546364
"abortion law"	0.0546172
drugmakers	0.0545773
ifs	0.054412
"marital status"	0.0543513
"banking company"	0.0543346
"athletic facility"	0.0539001
"business organization"	0.053655
"retirement account"	0.0536283
"consumer loan"	0.0534537
ballgames	0.053303
"tax collector"	0.0532858
"credit union"	0.0532717
"No. @s"	0.0532139
issuers	0.0531153
"disability payment"	0.0529862
"toy maker"	0.0529405
registrant	0.05292
bugaboo	0.0529054
enhancer	0.0528225
"change of direction"	0.0528199
tenancy	0.052816
weightings	0.0527541
"Community Reinvestment Act"	0.0527533
Ombudsman	0.0525302
Zoloft	0.0525247
largess	0.0524724
"reserve fund"	0.052323
"savings account"	0.0522372
"proxy fight"	0.0522149
"inheritance tax"	0.052194
"price control"	0.0520576
ECN	0.0520143
"wage increase"	0.051864
funders	0.0517718
meccas	0.0517672
"tax liability"	0.0517132
"investment trust"	0.0516767
"Parades Commission"	0.05156
"mainframe computer"	0.0514937
"African Union"	0.0514201
"Richard Hatch"	0.0512203
"Civil Rights Act"	0.0511798
"educational activity"	0.0511249
"insurance claim"	0.0511063
issuer	0.0510611
"place of birth"	0.0510542
chaebol	0.0509385
"safety measure"	0.0509028
"software package"	0.0508205
"line of work"	0.0507426
TAXES	0.0506808
"bond issue"	0.0506411
"social structure"	0.0505251
"bank holding company"	0.0505239
"gasoline tax"	0.0504485
parastatals	0.0499864
PAC	0.0497132
"storage device"	0.04961
"toy retailer"	0.049388
Relenza	0.0493622
deductibility	0.0492718
"missionary work"	0.0492293
"voting system"	0.0492172
e-tailers	0.049053
"defense contractor"	0.0489858
"take-home pay"	0.0489586
"identification number"	0.0489545
"social event"	0.0489123
"line item"	0.0487824
"Marshall Plan"	0.0487099
"commercial enterprise"	0.0486948
"trust account"	0.0486833
"aircraft order"	0.048619
"sailing vessel"	0.0486006
"Pulitzer Prizes"	0.0485332
"tax bill"	0.0485187
nonprofits	0.048431
"savings bank"	0.0483816
"private corporation"	0.0483424
"business enterprise"	0.0483223
playmakers	0.0483012
"tax deduction"	0.048241
"professional association"	0.0482388
firsts	0.0481867
solvency	0.0481754
"commercial paper"	0.0481314
officals	0.0481062
bauble	0.0480284
"chain store"	0.0480035
thrift	0.0479705
"time deposit"	0.0479079
"debt payment"	0.0478773
"coat of paint"	0.0478614
"media property"	0.0478339
hotspots	0.0477966
Hotlines	0.0476496
painkiller	0.0476444
match-ups	0.0476405
"job security"	0.0476376
"user fee"	0.0476343
Propecia	0.0475783
websites	0.0473284
"safety feature"	0.047304
"opera company"	0.047271
"credit history"	0.047178
"medicare payment"	0.047022
"food company"	0.0469745
meatpackers	0.04686
"computing system"	0.0466641
"San Franciscans"	0.0466405
shipbuilder	0.0465685
personae	0.0465526
"parliamentary democracy"	0.0465102
blandishment	0.046389
withholding	0.046363
))
(Benes (desc 2880.37) (sims
Rusch	0.235145
Radke	0.2325
Kile	0.23045
Schourek	0.224181
"Russ Ortiz"	0.222355
Harnisch	0.214107
"Jon Lieber"	0.207859
Reynoso	0.204095
"Chris Carpenter"	0.201895
Elarton	0.196965
Astacio	0.19684
Trachsel	0.195842
Nagy	0.192967
"Andy Benes"	0.192605
Bottenfield	0.192548
Mercker	0.19065
"Brian Moehler"	0.190471
Dempster	0.190422
Hermanson	0.188897
Daal	0.186795
Mahomes	0.185996
Sele	0.183621
"Jeff Weaver"	0.183135
Schoeneweis	0.182242
Hershiser	0.180287
Rueter	0.180106
Parris	0.179856
Dreifort	0.179521
Ankiel	0.178027
Halama	0.177527
"Javier Vazquez"	0.177469
"Francisco Cordova"	0.176641
Mussina	0.175872
Remlinger	0.175827
Dotel	0.17553
Etherton	0.175464
Yoshii	0.174722
"Armando Reynoso"	0.174428
"Mike Sirotka"	0.174294
Millwood	0.173307
D'Amico	0.172473
Burkett	0.172436
Moehler	0.170909
"Eric Milton"	0.170177
Herges	0.169082
Candiotti	0.16847
"Mark Gardner"	0.168278
"Woody Williams"	0.167815
"Brian Anderson"	0.166561
Helling	0.165984
"Jesus Sanchez"	0.164417
"Omar Daal"	0.163335
"BRIAN MEADOWS"	0.162428
Belcher	0.162261
Mlicki	0.161306
Leiter	0.161228
Olivares	0.161058
"Jamey Wright"	0.160898
"Pedro Astacio"	0.160479
"Steve Parris"	0.160195
"Dustin Hermanson"	0.160173
Gagne	0.159656
Moyer	0.158449
Hentgen	0.157872
"John Snyder"	0.156961
Bohanon	0.156829
Tapani	0.156625
Chouinard	0.156169
"Bryce Florie"	0.154185
Checo	0.153686
Glavine	0.15351
Fassero	0.153411
Bere	0.1521
"Shane Reynolds"	0.152023
Rapp	0.151368
Suppan	0.151032
"Kirk Rueter"	0.150648
Neagle	0.150341
"Brad Radke"	0.150203
"Gil Heredia"	0.150042
"Kevin Tapani"	0.149435
Stottlemyre	0.149303
"Jim Parque"	0.149246
"Shawn Estes"	0.149029
Vazquez	0.148715
"Jason Bere"	0.148148
Meche	0.14721
Nomo	0.147128
Pavano	0.146788
Valdes	0.146412
"Matt Mantei"	0.146239
"Pat Hentgen"	0.146051
"Matt Morris"	0.144819
"Jason Schmidt"	0.144765
Percival	0.1439
Perisho	0.143399
Yarnall	0.143387
Eldred	0.143371
"John Burkett"	0.142798
"Brian Bohanon"	0.142336
Petkovsek	0.14206
Loaiza	0.141553
Appier	0.141179
Lieber	0.140862
Gooden	0.139768
Pulsipher	0.139363
Washburn	0.138599
"Paul Abbott"	0.13799
Tomko	0.137528
Saberhagen	0.136486
Isringhausen	0.136418
Grimsley	0.135918
"Pete Harnisch"	0.135638
"Jose Jimenez"	0.135081
"Pat Rapp"	0.134862
Smoltz	0.134754
Pettitte	0.134375
Contreras	0.133535
"Dave Mlicki"	0.133283
"STEVE WOODARD"	0.133025
Schilling	0.132646
Osuna	0.132367
Arrojo	0.132305
"Kent Bottenfield"	0.132097
"Darryl Kile"	0.130809
Heredia	0.130649
Guzman	0.130464
"Scott Erickson"	0.128727
"Tom Candiotti"	0.127416
Cloude	0.127249
"Chan Ho Park"	0.127167
"Russ Springer"	0.127065
Wohlers	0.126908
"Scott Karl"	0.126174
"Rolando Arrojo"	0.126041
Stephenson	0.12571
Mulholland	0.125224
"Brett Tomko"	0.124209
Borbon	0.124121
Cormier	0.12404
"Paul Shuey"	0.123824
"Bartolo Colon"	0.122986
"Curt Schilling"	0.122836
Benitez	0.122695
Ortiz	0.122451
"John Halama"	0.122021
Wakefield	0.121999
"Orel Hershiser"	0.121555
"Steve Sparks"	0.121248
right-hander	0.12105
"Chris Holt"	0.120738
Mendoza	0.120452
"Dave Burba"	0.11997
Zito	0.119874
"Vladimir Nunez"	0.11978
Finley	0.119654
Moog	0.119561
Dickson	0.119234
"Paul Byrd"	0.119052
Maddux	0.11887
"Sidney Ponson"	0.118762
"Robb Nen"	0.118165
"Hideo Nomo"	0.117922
"Ramon Ortiz"	0.117709
"Mark Portugal"	0.117093
Burba	0.116559
"Terry Mulholland"	0.116479
"Kevin Millwood"	0.116316
"Tim Hudson"	0.115979
"Mike Hampton"	0.115602
"Tim Belcher"	0.1153
"Steve Trachsel"	0.115145
"Kevin Appier"	0.114933
"Willie Blair"	0.114599
"Andy Ashby"	0.114047
"Ron Villone"	0.113952
estes	0.113771
"Jeff Fassero"	0.113374
"Bret Saberhagen"	0.113348
"Wilson Alvarez"	0.113142
"Chuck Finley"	0.113121
Erickson	0.112866
"Brad Penny"	0.112607
Woodard	0.112094
Cordova	0.111877
Hawkeyes	0.111825
"Dan Miceli"	0.111422
Irabu	0.110225
"Carlos Perez"	0.110126
"Rick Reed"	0.109752
"Mike Mussina"	0.109616
"Mike Remlinger"	0.108904
"John Smoltz"	0.108873
"Ramon Martinez"	0.10877
"Brian Rose"	0.108729
Meadows	0.108729
"Byung-Hyun Kim"	0.108514
"Ryan Dempster"	0.108404
"Todd Stottlemyre"	0.108363
"Jamie Moyer"	0.108289
"Al Leiter"	0.108233
"Darren Oliver"	0.10815
"Scott Schoeneweis"	0.107859
"Livan Hernandez"	0.107791
"Jaret Wright"	0.107091
"Jose Mesa"	0.106967
Glynn	0.10691
"Ken Cloude"	0.106599
"Tim Wakefield"	0.106378
Hudek	0.106342
Clement	0.106049
"Kent Mercker"	0.106022
"Bill Pulsipher"	0.105394
Hasegawa	0.105306
Padilla	0.104339
Zimmerman	0.10431
Wendell	0.104275
"Tom Glavine"	0.104253
Paniagua	0.104062
Nunez	0.103798
"Esteban Loaiza"	0.10325
"Mike Stanton"	0.103026
Wasdin	0.102925
Mantei	0.102895
Navarro	0.102792
"Ismael Valdes"	0.102782
"Andy Pettitte"	0.102609
"Jeff Nelson"	0.102385
Cordero	0.102168
"Sean Bergman"	0.101703
McDOWELL	0.101548
Escobar	0.101411
"Jarrod Washburn"	0.101406
"Mike Morgan"	0.101267
"Orlando Hernandez"	0.101095
"Gregg Olson"	0.100966
Wetteland	0.100849
"Hideki Irabu"	0.100367
"Denny Neagle"	0.100362
"Omar Olivares"	0.100355
"El Duque"	0.100311
Langston	0.10019
))
(Benetton (desc 5683.19) (sims
Aprilia	0.134916
McLaren-Mercedes	0.114847
Yamaha	0.10611
Ducati	0.100143
McLaren	0.0997185
Reynard-Honda	0.0939955
Ferrari	0.0896989
Suzuki	0.084264
"J. Peterman"	0.0751282
Reebok	0.0744406
esprit	0.0715289
Sears	0.069408
Honda	0.0691364
Porsche	0.068679
Levi's	0.067628
NIKE	0.0673615
Mastercard	0.0659694
"Michael Schumacher"	0.0621231
"Calvin Klein"	0.0617141
"Joe Camel"	0.0610155
Lamborghini	0.0607835
"Krispy Kreme"	0.0607343
speciality	0.0603658
Pts	0.0600883
"Liz Claiborne"	0.0600806
MG	0.0587123
"R.J Reynolds"	0.0583454
"Old Navy"	0.0578674
"Circuit City"	0.0576977
Eskom	0.0575534
Villeneuve	0.0570761
"Tommy Hilfiger"	0.0570376
"Sara Lee"	0.0569083
Subaru	0.0568023
Schumacher	0.0565138
Festina	0.0557818
adidas	0.0554767
Stroh	0.0554042
Reynard	0.054954
Polti	0.054423
Budweiser	0.0537593
Boo.com	0.0536104
RNC	0.0534214
TVM	0.0532618
Spiegel	0.053243
Peugeot	0.0527633
"Home Depot"	0.0518404
"Best Buy"	0.0517883
USAID	0.0515539
"Land Rover"	0.0515461
Ganassi	0.0512364
"L.L Bean"	0.0510701
Denel	0.0509281
Mercedes	0.0507929
Lexus	0.0502778
"Smith &AMP; Wesson"	0.050134
Wyly	0.0500588
Anheuser-Busch	0.0499782
"Toys R Us"	0.0499474
Fila	0.0498319
Mercedes-Benz	0.0495545
"Reed Elsevier"	0.0495202
"Bausch &AMP; Lomb"	0.0490927
Okada	0.0489733
Herta	0.0489083
"Time Inc."	0.0488808
IAI	0.0488677
Toysmart.com	0.0487804
"Estee Lauder"	0.0486282
"Electronic Arts"	0.0483907
Toyota	0.0482167
"Network Associates"	0.0479534
"Pepsi Cola"	0.0478467
Walmart	0.0478271
"Banana Republic"	0.0475833
"Delta Air Lines"	0.0475633
"Levi Strauss"	0.0474347
Doohan	0.0474182
"car maker"	0.0473889
Eni	0.0469275
"Papa John"	0.0468305
Volvo	0.0467231
"Ralf Schumacher"	0.0466892
Coca-Cola	0.0465671
Amgen	0.0465429
Ikea	0.0463038
"J. Crew"	0.0462318
CDnow	0.0462118
Carrefour	0.0462101
"Procter &AMP; Gamble"	0.0461462
"second hand"	0.0458168
HILFIGER	0.0456116
Bentley	0.0454703
"J&AMP;J"	0.0454309
Unilever	0.0453804
Wyeth	0.0452591
"mail order"	0.0451099
"Cable &AMP; Wireless"	0.0451025
Audi	0.0450172
Monster.com	0.0449156
Pepsico	0.0448589
CompUSA	0.0448512
Roush	0.044813
Barnesandnoble.com	0.0447776
Amway	0.0447379
Nepa	0.0446859
Priceline.com	0.0445702
"Jacques Villeneuve"	0.0444525
Ajax	0.0443411
"Ford Escort"	0.0443043
Agusta	0.0442854
Kawasaki	0.044125
Reel.com	0.0441178
Maytag	0.0440662
"Koch Industries"	0.043984
Volkswagen	0.0439797
Prada	0.0439392
Drugstore.com	0.043925
"Alex Zanardi"	0.0437999
EA	0.0436784
"Mercatone Uno"	0.0436503
Iverson	0.0435769
Starbucks	0.043538
Mitsubishi	0.0434978
carmaker	0.0434339
"drug company"	0.0434038
"Pepperidge Farm"	0.0432926
Telebras	0.0432533
"Burger King"	0.043209
Dell	0.0431875
"Philip Morris"	0.0431549
"Weight Watchers"	0.0430929
Mach	0.0430313
"Ralph Lauren"	0.0428677
"Sony Corp."	0.0428011
DEP	0.0427183
"Bud Light"	0.0427167
"De Beers"	0.042679
"Brooks Brothers"	0.0425817
CAA	0.0425415
"car manufacturer"	0.042532
"auto company"	0.0424984
"Abercrombie &AMP; Fitch"	0.0424277
eToys	0.0423575
CNET	0.0422418
Woolworth	0.0422408
Chevrolet	0.0421354
MetLife	0.0421219
Taft	0.0420485
"Mattel Inc."	0.0420075
bombardier	0.0418367
Enron	0.0416456
"Publishers Clearing House"	0.0415232
VW	0.0415075
Buy.com	0.0414517
"Kentucky Fried Chicken"	0.0413483
FRA	0.0413145
"Saks Fifth Avenue"	0.0412776
arrow	0.041273
Matchbox	0.0412551
Pt	0.041229
"Deutsche Telekom"	0.0412025
Wal-Mart	0.0411427
Porsches	0.0409239
Burberry	0.0408632
HKMA	0.0408613
"Baath Party"	0.0408394
Rollins	0.0408358
Fiat	0.0407554
"full page"	0.0407501
EMC	0.0406386
vintage	0.0406052
Pertamina	0.0405772
Bartoli	0.0405688
Motorola	0.0405385
BMW	0.0404765
"Nippon Telegraph"	0.0403551
"Conde Nast"	0.0403498
Providian	0.0402869
NU	0.0402664
Carlsberg	0.0402598
"Lockheed Martin"	0.0402277
HCFA	0.0401873
DoubleClick	0.040148
Georgia-Pacific	0.0401324
"Ford Motor Company"	0.0400966
"Pottery Barn"	0.0400953
eyewear	0.0400895
AstraZeneca	0.0400756
"Barnes &AMP; Noble"	0.0400662
Mattel	0.0400425
))
(benevolence (desc 3038.51) (sims
kindness	0.0904488
fallibility	0.0773478
compassion	0.0753802
decency	0.0716211
self-discipline	0.0600056
forbearance	0.0588515
guile	0.058791
expressiveness	0.0570639
generosity	0.0557214
humility	0.0556306
altruism	0.0549428
Openness	0.0542868
oversimplification	0.0541686
moderation	0.0541459
idolatry	0.0527851
internationalism	0.0527508
pragmatism	0.0517633
mercy	0.0512985
bullishness	0.0510889
stupidity	0.0508107
resourcefulness	0.0507494
titillation	0.0504557
pluralism	0.0503979
self-assurance	0.0496564
contrition	0.0496427
promiscuity	0.0494578
invisibility	0.0494301
forgiveness	0.049246
invincibility	0.0489791
civility	0.0488887
largesse	0.0479254
conciliation	0.0470228
statesmanship	0.0459943
infallibility	0.0456799
put-down	0.0456027
selflessness	0.0447161
rectitude	0.0445324
righteousness	0.0444411
Elitism	0.0443441
disaffection	0.0442455
self-sacrifice	0.0441406
musicality	0.0438801
bonhomie	0.0435971
ill-treatment	0.0435336
vastness	0.0434708
volunteerism	0.0432975
"femme fatale"	0.0432007
nonviolence	0.042969
foreplay	0.042808
intimacy	0.0425476
fortitude	0.042172
transcendence	0.0420412
explosiveness	0.0419394
practicality	0.041857
pillaging	0.0418557
authoritarianism	0.0416412
"manual labor"	0.0416103
impartiality	0.041121
"reaction time"	0.0409028
graciousness	0.0406523
"civic duty"	0.0405517
frailty	0.0402861
outrageousness	0.0400955
))
("Benevolent Association" (desc 1333.4) (sims
"Air Line Pilots Association"	0.207309
"Service Employees International Union"	0.193943
"National Education Association"	0.167208
"Allied Pilots Association"	0.161436
"District Council"	0.15965
"Association of Flight Attendants"	0.139375
"United Steelworkers"	0.134164
"League of Conservation Voters"	0.12309
"International Brotherhood"	0.121824
"Local @@@"	0.116561
"American Association of Health Plans"	0.116116
"Local @@@@"	0.111839
"World Jewish Congress"	0.106862
"Log Cabin Republicans"	0.106846
"National Abortion and Reproductive Rights Action League"	0.103156
"American Federation"	0.0978683
"International Committee of Red Cross"	0.0945688
"International Association of Machinists"	0.0937314
"National Audubon Society"	0.0893763
"National Council of La Raza"	0.0892788
"International Skating Union"	0.0882974
"United Malays National Organization"	0.088115
"Chinese Olympic Committee"	0.0855664
"Olympic Council of Asia"	0.0851738
"machinists union"	0.0825246
"Association for Relations Across"	0.0809737
AFL-CIO	0.0804218
"Cambodian People's Party"	0.0795625
"National Alliance"	0.0795191
CPAFFC	0.0792766
"National Association"	0.0788722
"Democratic Leadership Council"	0.0785599
"Wine Institute"	0.0781119
"European Bank for Reconstruction"	0.0777061
"World Wildlife Fund"	0.0768362
"National Association of Manufacturers"	0.0761597
"National Council of Churches"	0.0751492
"CBS Sports"	0.0748164
"International Society"	0.0743413
"International Ski Federation"	0.0742223
"American Medical Association"	0.0735511
"senior class"	0.0732351
Ikimi	0.0721613
"Serbian Orthodox Church"	0.0719282
Confederation	0.0716741
CFA	0.0716645
Velayati	0.0715286
"U.S. Soccer Federation"	0.0712423
"International Committee"	0.0711683
"New Korea Party"	0.0707439
"Australian Olympic Committee"	0.070599
"International Badminton Federation"	0.0703515
"International Cycling Union"	0.0699476
Kyprianou	0.0697742
Teamsters	0.0696522
"Southeastern Legal Foundation"	0.0691479
"United Auto Workers"	0.069099
Meguid	0.0685876
"Federal Reserve Bank of New York"	0.0685718
NARAL	0.0681844
"National Federation"	0.0678297
"Screen Actors Guild"	0.0673558
"Iraqi National Congress"	0.0671859
"International Red Cross"	0.0667648
"China Society"	0.0664513
ARATS	0.066127
"Human Rights Campaign"	0.0659114
"Justice Party"	0.0655633
"Communications Workers of America"	0.0648001
"Local @@"	0.064693
"Sierra Club"	0.0646769
Ruehe	0.0645093
"U.S. Chamber of Commerce"	0.0643757
"Air Transport Association"	0.0639829
"United Democratic Movement"	0.0638999
Rifkind	0.0636937
Brittan	0.0632203
"Rainbow/PUSH Coalition"	0.0627406
"Gaullist Rally"	0.0625129
Renamo	0.0623081
"Bank for International Settlements"	0.0621311
"Congolese Rally"	0.0619649
"Zapatista National Liberation Army"	0.0617912
Qinghua	0.0615624
Moratinos	0.061471
Stoyanov	0.0612846
"EU Commission"	0.0612756
"International Rescue Committee"	0.06124
Diouf	0.0606892
ACWF	0.0602794
"House Democrats"	0.0601187
CCF	0.059934
"Mormon Church"	0.0598473
Narayanan	0.0598048
"American Psychological Association"	0.0597414
"Main Events"	0.0596983
Klima	0.059663
"Joint Liaison Group"	0.0596504
"executive agency"	0.0593117
"Socialist Party"	0.0592968
"Fallon McElligott"	0.0592662
"International Amateur Athletics Federation"	0.0590151
"American Jewish Committee"	0.0587221
SPC	0.0586912
"Handgun Control Inc."	0.0585709
"Supreme People"	0.0584268
"Families USA"	0.0583291
"United Nations Industrial Development Organization"	0.0578803
ACFTU	0.0578332
Yadav	0.0575761
Komura	0.0575571
PCF	0.0575406
"Inter-American Development Bank"	0.0575263
"Juilliard School"	0.0574636
Sahnoun	0.0571269
"Bosnian Serb Republic"	0.0570813
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0569904
MSF	0.0569873
Bundestag	0.056638
"Liberation Movement"	0.056616
"American Bar Association"	0.0566118
Jovanovic	0.0563302
"Janata Dal"	0.0563244
"Russian Security Council"	0.055971
"European Council"	0.0559109
Abdel-Meguid	0.0557525
Jayakumar	0.055744
"United National Independence Party"	0.0555282
"National Organization"	0.0554966
"Canadian Alliance"	0.0554493
"China National Petroleum Corporation"	0.0552886
"right to life"	0.055283
CITIC	0.0552563
"Economic and Social Council"	0.0551902
Eximbank	0.0550117
UMNO	0.0548175
"China Association for Science"	0.0547853
"Abidine Ben Ali"	0.0547072
"Cuban American National Foundation"	0.0545671
"Azizah Ismail"	0.0542885
"Inter-Parliamentary Union"	0.0542404
"Public Citizen"	0.0541642
"American Petroleum Institute"	0.0538593
"de Charette"	0.0537838
"State Development Bank"	0.0537737
"Anti-Defamation League"	0.0537552
"Association for Friendship"	0.0536824
Lari	0.0536536
"Hong Kong Federation"	0.0535451
"Industrial and Commercial Bank of China"	0.0535084
"Olympic Committee"	0.0534177
Ikeda	0.0533918
"National Urban League"	0.0532334
MPLA	0.053206
"Rotary International"	0.0531502
"Amherst College"	0.0531162
"Council of State"	0.0530012
"National Rifle Association"	0.052998
"United Liberal Democrats"	0.0529249
"Pan Africanist Congress"	0.0529127
"International Management Group"	0.0528875
Malu	0.0527899
UNP	0.0527583
"Conservative Party"	0.0526794
"Jia Qinglin"	0.0525698
"Free Democrats"	0.0523755
"Funcinpec Party"	0.052307
"Grand National Party"	0.0522972
Ruggiero	0.0522615
"All-China Journalists Association"	0.0522551
"Southern Baptists"	0.0521398
"legislative assembly"	0.052113
"Secretary General Esmat Abdul-Meguid"	0.0519878
Laban	0.0519753
NEA	0.0518481
OCA	0.051777
"United Way"	0.0516469
Zou	0.0516105
"Ministry of Interior"	0.0515082
"United Republic of Tanzania"	0.0514829
Kabariti	0.0514637
"National Council"	0.0514155
Hadassah	0.0512526
"Turner Sports"	0.051102
"Shas Party"	0.0509362
AmCham	0.0508534
"Christian Democratic Union"	0.0507533
"Jane Hull"	0.0507514
"Sam Rainsy Party"	0.0506954
"Constitutional Assembly"	0.0505215
"Independence Party"	0.0504296
"Party School"	0.0503904
McGreevey	0.050246
Stroyev	0.0501316
"Securities Industry Association"	0.0500064
CWA	0.0497194
"Board of Elections"	0.0496604
"Federal Council"	0.0496479
Ganzouri	0.0494923
"National Commission"	0.0494417
))
(Benex (desc 2179.37) (sims
Menatep	0.0925494
"Bank of New York"	0.0922762
"Raul Salinas"	0.088947
E-ZPass	0.0752021
Bongo	0.0723803
ISP	0.0716061
"Roth IRA"	0.071367
BLUETOOTH	0.0692286
escrow	0.0689036
"bank card"	0.0686802
Citibank	0.0682179
"money laundering"	0.0651756
Brawley	0.0642189
"credit union"	0.0619623
Proctor	0.0619068
Idris	0.0615791
"national income"	0.0611984
WebTV	0.0604417
"Immigration Department"	0.0604255
"Cuban American National Foundation"	0.0601521
YankeeNets	0.0586527
Kalejs	0.0576814
Bhutto	0.0573995
ATHOME	0.0573051
sandpiper	0.0569059
Borodin	0.0560169
debit	0.0557252
"Russian Defense Ministry"	0.0554558
Datek	0.0553438
"International Development Association"	0.055296
"charge card"	0.0552869
"Electronic Privacy Information Center"	0.0550646
"Philip Morris"	0.0544308
Schwab	0.0542049
"Miller Lite"	0.0541427
CPF	0.0541169
MI@	0.0538516
student-athlete	0.0535447
annuity	0.0533108
SCI	0.0529877
"District Council"	0.0528824
SETI	0.0528705
"Koch Industries"	0.052787
"pension fund"	0.0527466
forklift	0.0525099
Noriega	0.0522007
"World Church"	0.0517545
higher-up	0.0516001
cayman	0.0513152
RCN	0.0510955
"Southeastern Legal Foundation"	0.0507612
BoT	0.050712
"electric current"	0.0506705
"Olympic Movement"	0.0506535
Janus	0.0506227
"Royal Ulster Constabulary"	0.0505872
"wireless telephone"	0.0504762
"brokerage account"	0.0500342
"Anti-Defamation League"	0.0498606
PRIMESTAR	0.0496675
Salinas	0.0496044
Intuit	0.0493521
UNRWA	0.0492102
MSN	0.0492014
"Australian Olympic Committee"	0.0488716
"another @.@ million"	0.0488651
AUM	0.0485443
"Southern Command"	0.0484089
"Angel Maturino Resendiz"	0.0481332
"sea captain"	0.0479252
vending	0.0479203
"Agency for International Development"	0.0479039
"Russian bank"	0.0477638
"U.S. Information Agency"	0.0475231
"European Bank for Reconstruction"	0.0472235
"morse code"	0.0470596
"ballpoint pen"	0.0469376
notary	0.0467811
Dodik	0.0467777
Ressam	0.0466806
leeson	0.0466094
Resendez-Ramirez	0.0465789
Aventis	0.0465173
"Fleet Financial Group"	0.046494
Netcom	0.0464327
Frankel	0.0463916
"Federal Security Service"	0.0463036
BankAmerica	0.0462657
commissary	0.0459987
Amway	0.0459848
CompuServe	0.0459805
"tax avoidance"	0.0458902
Expedia	0.0458526
GOPAC	0.0456464
FireWire	0.0455315
"Xinhua News Agency Hong Kong Branch"	0.0455138
Juno	0.045479
impropriety	0.045372
Gazprom	0.0453715
"private corporation"	0.0453143
"stock company"	0.0453046
Hage	0.045159
"New York City Police Department"	0.0450816
lowland	0.0450506
"Securities Industry Association"	0.0450288
"trucking company"	0.0448851
"Gun Ri"	0.0447213
"Thomson CSF"	0.0447025
motoring	0.0446459
Eximbank	0.0445545
"Visa International"	0.0445514
GSS	0.0445156
E-Trade	0.0444885
Strauss-Kahn	0.0444529
Stearns	0.0443423
Eskew	0.0442975
BankBoston	0.0442892
ETrade	0.0442269
endocrinology	0.0439657
"Central Intelligence Agency"	0.0437609
slurry	0.0436929
knucklehead	0.0435824
Healtheon/WebMD	0.0435144
"death tax"	0.0434936
"savings bank"	0.0434842
"Planned Parenthood"	0.0433986
TCI	0.0433084
"Operation Lifeline Sudan"	0.0431584
Hotmail	0.0430942
barbell	0.0430301
extortion	0.0429202
"Credit Suisse"	0.042883
"United States government"	0.0428653
"Hearst Corp."	0.042839
Arista	0.0428279
"Fox TV"	0.0427555
"Philadelphia Orchestra"	0.0426439
FALN	0.042372
Broaddrick	0.0423706
"Islamic Jihad"	0.0423373
Hotlines	0.0423274
Carrera	0.0423135
"Chase Manhattan"	0.0423052
"Legion of Honor"	0.042249
UNTAET	0.042228
Duracell	0.0421442
"brokerage house"	0.0420853
EarthLink	0.0418802
Speer	0.0418547
"Chase Manhattan Bank"	0.0418442
counterterrorism	0.0417872
Televisa	0.0417805
oligarch	0.041714
"El Hage"	0.0414736
"employment agency"	0.0414464
"Real IRA"	0.0414364
"Philippine National Police"	0.0414048
"English department"	0.0413028
KKK	0.0411757
TAZARA	0.041133
Mabetex	0.040966
"Human Rights Campaign"	0.0409624
"embryonic cell"	0.0408787
genital	0.0408569
Trucking	0.0408471
"data communication"	0.040843
Dwyer	0.0408284
"Bank Bali"	0.0407204
"Maturino Resendiz"	0.0407001
"Macao International Airport"	0.0406599
Sidanko	0.0406409
PACs	0.0406267
"mechanical device"	0.0405806
"Israeli Defense Forces"	0.0405695
Elhage	0.0405638
DKB	0.0404858
"Baby Bells"	0.0404065
BIA	0.0402905
"First USA"	0.0402825
ISDN	0.0401974
"power grid"	0.0401942
Paciello	0.0400659
mifepristone	0.0400655
"coaxial cable"	0.040036
"League of Women Voters"	0.0400036
))
(Benfica (desc 4742.53) (sims
"FC Porto"	0.22179
Anderlecht	0.200908
Porto	0.197126
"Olympique Marseille"	0.196491
Olympiakos	0.192829
Besiktas	0.168352
Panathinaikos	0.166477
Nacional	0.159095
"VfB Stuttgart"	0.159073
"Velez Sarsfield"	0.157459
"Olympiakos Piraeus"	0.156534
"Borussia Dortmund"	0.156171
Ajax	0.155981
Brondby	0.153789
Independiente	0.151156
"Dynamo Kiev"	0.150467
"PSV Eindhoven"	0.149411
Necaxa	0.149013
"Schalke @@"	0.148134
Gremio	0.148083
Leverkusen	0.146029
Fenerbahce	0.145564
Feyenoord	0.14466
Schalke	0.142953
"AC Milan"	0.142834
Rosenborg	0.142704
"Glasgow Rangers"	0.142039
"Boca Juniors"	0.141425
"Bayern Munich"	0.141216
Juventus	0.140859
"Newcastle United"	0.140498
Fiorentina	0.139215
Kaiserslautern	0.137047
"Red Star"	0.135194
"Ajax Amsterdam"	0.135013
"Colo Colo"	0.134665
"Atletico Madrid"	0.134286
"Albert Portas"	0.133678
Penarol	0.133233
"Real Madrid"	0.131793
"Nottingham Forest"	0.130839
"River Plate"	0.130155
"Werder Bremen"	0.128757
"Spartak Moscow"	0.128597
"Adrian Voinea"	0.128285
Perugia	0.12725
"VfL Wolfsburg"	0.126226
Udinese	0.126117
"Athletic Bilbao"	0.125755
Sevilla	0.125329
Vitoria	0.125305
Bologna	0.125091
"Partizan Belgrade"	0.124952
Zamalek	0.1231
"Slavia Prague"	0.122868
Bastia	0.122046
Barcelona	0.121394
Palmeiras	0.121366
Auxerre	0.120268
"Inter Milan"	0.119963
"Shanghai Shenhua"	0.119649
Spartak	0.119635
"Manchester United"	0.119004
Betis	0.118912
"Dalian Wanda"	0.118659
Torino	0.118381
"Celta Vigo"	0.117448
Heerenveen	0.117436
Parma	0.117069
Middlesbrough	0.116878
"Sturm Graz"	0.116511
Flamengo	0.115554
"Jubilo Iwata"	0.115007
"Tatiana Panova"	0.114923
"Leicester City"	0.114358
"San Lorenzo"	0.114337
Atalanta	0.114125
"Rainer Schuttler"	0.113831
Bayern	0.113754
"Arnaud Di Pasquale"	0.113655
Galatasaray	0.113636
Estudiantes	0.113423
"Magui Serna"	0.112816
"Guangzhou Apollo"	0.112645
"AEK Athens"	0.112614
"Borussia Moenchengladbach"	0.112526
Obilic	0.112238
Limoges	0.112137
"Joannette Kruger"	0.111839
"AC Parma"	0.111717
"Real Sociedad"	0.111089
Cruzeiro	0.111067
"Naoko Sawamatsu"	0.11056
"Paola Suarez"	0.110539
"Hernan Gumy"	0.110436
Watford	0.109642
"Renzo Furlan"	0.108802
Metz	0.108338
Atletico	0.108148
"Coventry City"	0.108139
"Franco Squillari"	0.107855
Sampdoria	0.107785
Coventry	0.107439
"Anne Kremer"	0.107412
Valladolid	0.107206
Shenhua	0.107005
Valencia	0.106748
Olimpia	0.106569
Internazionale	0.106353
"Barbara Schwartz"	0.106076
"Christian Ruud"	0.105963
"Guangdong Hongyuan"	0.105798
"Mariano Zabaleta"	0.105638
"Galo Blanco"	0.105519
"Nicole Pratt"	0.105499
Gama	0.104991
Lecce	0.104978
Liverpool	0.103836
Sunderland	0.103769
Espanyol	0.10325
"Arnaud Clement"	0.103154
"Richard Fromberg"	0.103152
"Amy Frazier"	0.10288
"Kenneth Carlsen"	0.102806
AEK	0.102759
Inter	0.102635
Fulham	0.102612
"Gianluca Pozzi"	0.102312
"Andreas Vinciguerra"	0.102155
"Marcelo Filippini"	0.102089
"Kinder Bologna"	0.101895
Ulihrach	0.101051
"Scott Draper"	0.100993
"Magdalena Maleeva"	0.100861
Piacenza	0.10054
"Silvia Farina"	0.0997014
"Sebastien Grosjean"	0.0994817
"Sichuan Quanxing"	0.0994176
"Tara Snyder"	0.099394
"Deportivo Coruna"	0.0992796
"Daniel Nestor"	0.0991288
"Aston Villa"	0.0989051
"Sargis Sargsian"	0.0988745
"Real Betis"	0.0987844
"Leeds United"	0.0985705
"Florencia Labat"	0.0982135
"Nathalie Dechy"	0.0982039
Everton	0.0979064
Nantes	0.0972046
Newcastle	0.0970793
"Red Star Belgrade"	0.0969886
"Asa Carlsson"	0.0968772
"Ramon Delgado"	0.0968328
Blackburn	0.0967924
"Karim Alami"	0.0965702
"Michael Stich"	0.0959968
"Ai Sugiyama"	0.0956807
"Jennifer Capriati"	0.095621
"Sarah Pitkowski"	0.0955777
"Younes El Aynaoui"	0.095204
Hongyuan	0.0951885
"Fabrice Santoro"	0.0950449
Monaco	0.094675
corinthian	0.0944967
"Arnaud Boetsch"	0.0943443
Rennes	0.0942795
"Javier Sanchez"	0.0942192
"Sebastien Lareau"	0.0939857
"Albert Costa"	0.0936351
"Stefan Edberg"	0.0935929
"Bayer Leverkusen"	0.0930897
"Chinese Army"	0.0930325
"Jinan Taishan"	0.0928017
"Barbara Paulus"	0.0927146
Venezia	0.0926365
"Jerome Golmard"	0.0924038
Edberg	0.0916964
"Andrei Pavel"	0.091595
"Leander Paes"	0.0915401
"Patty Schnyder"	0.0910358
"Catalina Cristea"	0.0909991
"Dominique Van Roost"	0.0908247
"Derby County"	0.0907995
"Tottenham Hotspur"	0.0905021
"Filip Dewulf"	0.0904907
"Miriam Oremans"	0.0902166
"Slava Dosedel"	0.0900123
Berasategui	0.0899933
"Jeff Tarango"	0.0899402
Tenerife	0.0897607
"Roger Federer"	0.0897553
"David Prinosil"	0.0896501
"Elena Likhovtseva"	0.0893782
"Paris St Germain"	0.0892137
"Francisco Clavet"	0.0891925
"Xavier Malisse"	0.0890809
Chelsea	0.0884147
Freiburg	0.088189
"Fernando Meligeni"	0.0881167
"Brett Steven"	0.0879493
))
(Bengal (desc 1725.29) (sims
Haryana	0.109953
"Uttar Pradesh"	0.0998235
"Himachal Pradesh"	0.0767872
goalpost	0.0759829
Assam	0.0717354
"West Bengal"	0.0678866
Karnataka	0.0653068
"Bay of Bengal"	0.0635712
one-point	0.0632273
oppressor	0.062043
Balochistan	0.0609282
Sumatra	0.059447
two-point	0.058979
gopher	0.0576872
"Madhya Pradesh"	0.0569563
Catania	0.0560749
Orissa	0.0557039
"New York Yankee"	0.0556765
"San Diego County"	0.0550254
Sindh	0.0548534
"NBA All-Star"	0.0543039
seven-point	0.0532066
Atlantan	0.0526949
Labrador	0.0523162
Maharashtra	0.0517194
Rhodesia	0.051539
"Division I-AA"	0.0512861
Kerala	0.0508563
"Andhra Pradesh"	0.0507145
"Mekong Delta"	0.0505765
"Gator Bowl"	0.0502844
Knick	0.0502681
Kalimantan	0.0501398
"over six"	0.0497115
ELEVENTH	0.0494352
Laker	0.0492899
"Fairfield County"	0.0489616
Maluku	0.0485739
alderman	0.0482603
Bostonian	0.0479287
Aceh	0.0475488
Bekaa	0.0474887
Delhi	0.0465975
first-rounder	0.0459347
cheetah	0.0457047
Oriole	0.0456472
KwaZulu/Natal	0.0454215
Punjab	0.0448617
Luzon	0.0447695
"North West Frontier Province"	0.0444363
vaulter	0.0441237
"Lee Kuan Yew"	0.0440339
"Beibu Gulf"	0.0439767
Yosef	0.0439377
Bihar	0.0438445
Gujarat	0.0435832
"Western Athletic Conference"	0.0435503
chihuahua	0.0433546
Sulawesi	0.0427551
highflier	0.0426551
Mendez	0.0425358
nine-point	0.0425266
"Free World"	0.04206
"Edwin Edwards"	0.0418828
"bank building"	0.0417434
"exotic dancer"	0.0417394
Biloxi	0.0415751
"South Texas"	0.0414641
Cheshire	0.0414433
topspin	0.0413102
armadillo	0.041103
Guthridge	0.041079
Nyanza	0.0409454
Shanxi	0.0409345
"mental institution"	0.0407586
householder	0.0406833
"trunk road"	0.0405672
"police lieutenant"	0.0405591
"Arena Football League"	0.0405517
Queensland	0.0404634
Mid-Atlantic	0.0403301
"Peach Bowl"	0.0402443
councilwoman	0.040005
))
("Bengal tiger" (desc 1429.84) (sims
"right whale"	0.177371
"black bear"	0.139609
orangutan	0.139016
"gray wolf"	0.135034
"mountain gorilla"	0.132552
Highness	0.12758
"giant panda"	0.120116
rhino	0.116388
"African elephant"	0.111717
"sea otter"	0.109359
"rare bird"	0.105167
fawn	0.101386
"minke whale"	0.0984738
woodpecker	0.0982606
"blue whale"	0.0976247
sturgeon	0.0952078
antelope	0.0928112
panda	0.0915565
alligator	0.0915086
songbird	0.0904536
swan	0.0903806
ibis	0.0897131
oxen	0.0888378
"gray whale"	0.0884409
hatchlings	0.0869567
"sea turtle"	0.0866876
deer	0.0866492
humpback	0.0864745
sparrow	0.0853815
elephant	0.0852181
"sea bird"	0.0850424
"bald eagle"	0.0847238
"snow leopard"	0.0843891
rhinoceros	0.0843174
pigeon	0.0839132
quadruplet	0.0838137
"milk cow"	0.0837557
turtle	0.0829046
"coho salmon"	0.0821789
manatee	0.0815484
elk	0.0811908
"test-tube baby"	0.0807415
hyena	0.0802328
gorilla	0.0798153
Britannia	0.0781431
vaulter	0.0771106
"sea lion"	0.0768622
moose	0.0755888
otter	0.0751918
tarpon	0.0747957
"humpback whale"	0.0745058
"monarch butterfly"	0.0738292
egret	0.0731534
reindeer	0.0730816
cannonball	0.0721994
Sasaki	0.071889
"peregrine falcon"	0.0717699
tern	0.0716858
salamander	0.071666
monkey	0.0715084
coho	0.0710321
crematorium	0.070722
enlistee	0.0701452
"slip of paper"	0.0698848
gerbil	0.0696626
abalone	0.0694637
septuplets	0.0693932
peregrine	0.0690426
ferret	0.0686455
aphid	0.0685518
crewmembers	0.0683592
behinds	0.0683551
"school girl"	0.0681746
armadillo	0.06815
pheasant	0.0681336
lynx	0.0680975
Macaque	0.0680842
quail	0.0679558
owl	0.06794
canary	0.0677081
"polar bear"	0.0670973
Labrador	0.0670915
"sea horse"	0.066279
"San Franciscans"	0.0661092
Tuinei	0.0660473
reptile	0.0658125
householder	0.065788
kangaroo	0.0656794
geese	0.0656056
postman	0.0650738
boar	0.0648748
toad	0.0645671
"golden retriever"	0.0643824
crocodile	0.0643561
livery	0.0637048
pronoun	0.063688
turbot	0.0630126
pup	0.0625819
vagrant	0.0624134
"garden party"	0.0620415
"belly dancer"	0.0620006
pedophile	0.0617716
subspecies	0.0617383
seminarian	0.0616882
"two @@-year-olds"	0.0612481
"bullet hole"	0.0609375
"Sri Lankans"	0.0604839
Grunow	0.060457
cormorant	0.0604451
rhizome	0.0602902
"more than @.@ billion"	0.0602685
"six million"	0.0602659
illegals	0.060221
cheetah	0.0600202
porpoise	0.0594091
lifter	0.0591859
switch-hitter	0.0590165
Speedster	0.0589079
squirrel	0.0588654
postmark	0.0587135
"birthday cake"	0.0585727
"coat of arms"	0.0585005
bison	0.0584034
Matasareanu	0.0581121
"bluefin tuna"	0.0579901
hominid	0.057828
heron	0.0577646
"Jesse James"	0.0576848
"tennis ball"	0.0576259
"piece of cloth"	0.0575952
"sperm whale"	0.0574814
bauhinia	0.0574401
newborns	0.0572987
"Easter bunny"	0.0569051
bruiser	0.0565869
"foster child"	0.0564296
"grizzly bear"	0.0563701
Tibetans	0.0563184
snakehead	0.056255
"beach ball"	0.0562522
"Lincoln Town Car"	0.0562239
Humvee	0.0562203
Rockettes	0.0561002
waterfowl	0.0560906
"pain in the neck"	0.0558963
giraffe	0.0556713
foal	0.0554362
ex-convicts	0.0553836
"wild horse"	0.0553813
rustler	0.0553563
"black person"	0.0553064
"South Carolinian"	0.0551954
moth	0.0551317
"Labrador retriever"	0.0550777
assailant	0.0549727
flea	0.054929
"letter carrier"	0.0548389
lemur	0.0548218
chimpanzee	0.0546281
"domestic animal"	0.0546209
smock	0.0545455
"bird of prey"	0.0545416
Virginian	0.0544873
hedgehog	0.0544321
octogenarian	0.054326
"more than one million"	0.0542375
calf	0.053996
"Little Dog"	0.0539588
seabird	0.0539243
Caucasian	0.0538096
trout	0.0537316
Pvt	0.0536591
leopard	0.0536258
interloper	0.0535479
terrier	0.053446
Matchbox	0.0534151
chimp	0.0533827
kitten	0.0533435
"nine million"	0.0532739
lawmen	0.0532315
Dorsey	0.0531275
burro	0.0528879
iguana	0.052776
"drug addict"	0.0527075
"fruit fly"	0.0526038
VMs	0.0526014
"ping-pong ball"	0.0524838
bather	0.0524092
"prison guard"	0.0523433
brute	0.0522944
Ukrainians	0.0520061
puppy	0.0519251
"five million"	0.0518971
"New Zealander"	0.0518132
mammal	0.0516079
egghead	0.0515854
Leto	0.0515354
playmate	0.0514966
"subsidiary company"	0.0514806
peacock	0.0514574
))
(Bengali (desc 1942.3) (sims
Urdu	0.278603
Afrikaans	0.224041
Swahili	0.189802
Kiswahili	0.178632
Cantonese	0.164526
Yiddish	0.130711
Persian	0.127987
Arabic	0.12667
Sanskrit	0.12576
Hindi	0.120587
Hebrew	0.114387
Portuguese	0.108241
Mandarin	0.105967
Farsi	0.105523
Aramaic	0.102769
Armenian	0.102504
Catalan	0.0966648
Kurdish	0.0937992
Latin	0.0913202
Putonghua	0.0869206
Korean	0.0854735
Tibetan	0.0853725
Hausa	0.084468
Javanese	0.0839756
"Orthodox Jewish"	0.0836175
Zulu	0.0815861
Navajo	0.0804867
Sinhala	0.0781373
Maya	0.0780024
Creole	0.0773741
Maasai	0.0762941
Khmer	0.0751819
"Middle Eastern"	0.0727462
Italian-American	0.0709426
BASQUE	0.0707263
"Irish Catholic"	0.0700808
Latvian	0.0674457
"French Canadian"	0.0668842
Slovak	0.0668211
Berber	0.0667186
Breton	0.066429
dialect	0.0642386
haute	0.0640624
Scottish	0.063117
Gaelic	0.0630827
septuagenarian	0.0624178
"German language"	0.0622821
Maoist	0.0622182
Welsh	0.0618096
"American Jewish"	0.060747
Provencal	0.0604152
Estonian	0.0599156
Shiite	0.0591744
"Kosovar Albanian"	0.0591358
Sephardic	0.0589105
"North African"	0.0586231
Malay	0.0569357
Aztec	0.0557699
Mayan	0.0557281
"Eastern European"	0.0556504
Amish	0.0554262
"mother tongue"	0.0551384
"West African"	0.0547086
Hmong	0.0544926
non-European	0.0539367
"Puerto Rican"	0.0538414
ranching	0.0537434
"South Asian"	0.0533899
Ijaw	0.0531708
Finnish	0.0528476
"About one million"	0.0527757
Iroquois	0.052608
"computer application"	0.051612
Hawaiian	0.0515319
Ukrainian	0.0509503
Makah	0.0509033
proletariat	0.0507212
Tex-Mex	0.0500723
Sunni	0.0500098
Coptic	0.0495118
Uygur	0.0494253
Mexican-American	0.0485599
"Left Bank"	0.0484528
Austen	0.0479289
Appalachian	0.0478247
haiku	0.0475149
Bobo	0.0470639
Miao	0.0467174
"Southeast Asian"	0.0462528
spoken	0.0460653
Acadian	0.0454954
Inuit	0.0454705
pro-western	0.0442334
"Kosovo Albanian"	0.0440963
rom	0.0440216
Kazak	0.0439746
Anglo	0.0438304
Hani	0.0436236
Asian-American	0.043595
"nearly @@@,@@@"	0.0435783
"Hispanic American"	0.0432401
Maori	0.04319
Eskimo	0.0429763
"Asian American"	0.0428749
"Yediot Ahronot"	0.0425902
Hopi	0.0421847
Okinawan	0.0420305
"Nihon Keizai"	0.0419587
nouveau	0.0419058
Cuban-American	0.0415449
Zhuang	0.0414484
Sinhalese	0.0409824
"East Asian"	0.0408524
Maariv	0.0401274
))
(Bengals (desc 11736.3) (sims
Redskin	0.214306
BEARS	0.214191
Steelers	0.212378
"Cincinnati Bengals"	0.209971
Seahawks	0.203228
Raven	0.202997
charger	0.202406
BUCCANEER	0.190576
Giants	0.182923
Eagles	0.179125
packer	0.174605
ram	0.166023
Viking	0.165764
falcon	0.161527
Sooners	0.155684
colt	0.151599
panther	0.151137
cardinal	0.150676
bronco	0.15043
gamecock	0.149418
"San Diego Chargers"	0.147727
Bucs	0.14713
"Indianapolis Colts"	0.146927
"Washington Redskins"	0.146483
raider	0.142514
"Philadelphia Eagles"	0.14248
oiler	0.141796
patriot	0.141747
"Miami Dolphins"	0.141593
"Minnesota Vikings"	0.139041
"New York Giants"	0.138974
MetroStars	0.13862
cowboy	0.138373
"Dallas Cowboys"	0.138175
Celtics	0.137399
dolphin	0.137358
Saint	0.134725
"San Francisco @@ers"	0.134202
"Carolina Panthers"	0.133177
"Green Bay"	0.133171
Seminoles	0.130393
Orioles	0.128949
"ATLANTA FALCONS"	0.128929
Huskers	0.127414
"New York Jets"	0.126415
Sonics	0.1263
Jaguar	0.125819
Phillies	0.125366
wildcat	0.124703
Carolina	0.124158
"Denver Broncos"	0.123674
"Cleveland Browns"	0.12308
"Chicago Bears"	0.12279
Boilermakers	0.12254
"Tampa Bay"	0.122513
clipper	0.121384
"Green Bay Packers"	0.121018
"St. Louis Rams"	0.121006
Trojan	0.120193
"Tar Heels"	0.12019
matador	0.119395
"Buffalo Bills"	0.118977
Longhorn	0.118323
"Seattle Seahawks"	0.118227
"New England Patriots"	0.117904
Starzz	0.117701
piston	0.117311
"Red Raiders"	0.117261
Cavs	0.116286
Padre	0.116077
Gators	0.115598
"Nittany Lions"	0.11547
Aggies	0.115307
Hawkeyes	0.114457
"Oakland Raiders"	0.114126
"Arizona Cardinals"	0.113314
"Detroit Lions"	0.112795
Lakers	0.111851
bulldog	0.110597
Blackhawks	0.1105
ASTROS	0.110312
Cincinnati	0.110296
"blue jay"	0.110265
ASU	0.110144
CSUN	0.110054
Hornet	0.110051
USC	0.109777
diamondback	0.109756
"Los Angeles Clippers"	0.109445
Baylor	0.109381
"Kansas City Chiefs"	0.109189
buckeye	0.108989
"Kansas State"	0.10832
bruin	0.108058
Rutgers	0.108008
"Los Angeles Lakers"	0.107754
Timberwolves	0.106794
"Oregon State"	0.106734
lion	0.106712
"Penn State"	0.106687
marlin	0.106327
TCU	0.105202
grizzly	0.105061
Royals	0.10506
LSU	0.104996
Canuck	0.104841
Cornhusker	0.104707
"Kansas City Royals"	0.104423
Pepperdine	0.104412
cougar	0.104072
"Fighting Irish"	0.104019
dodger	0.103965
sixer	0.103663
"Chicago Bulls"	0.10352
"New Orleans Saints"	0.10341
Vols	0.101814
"Arizona State"	0.101672
"Milwaukee Brewers"	0.101083
"Ohio State"	0.101055
Wolfpack	0.100984
"Red Sox"	0.100781
A's	0.100639
Jacksonville	0.100407
"Florida State"	0.100226
"Philadelphia Phillies"	0.100147
"Crimson Tide"	0.0999242
titan	0.0998237
badger	0.0997463
Mets	0.0996863
"New Mexico State"	0.0993827
cub	0.0991017
Clemson	0.0990916
"Pittsburgh Steelers"	0.099021
"Atlanta Hawks"	0.0989216
Cleveland	0.0986032
Denver	0.0978626
maverick	0.0978563
hawk	0.0976707
"Red Wings"	0.0972007
Minutemen	0.0971442
"Tennessee Titans"	0.0969516
brave	0.0968825
K-State	0.0968165
cavalier	0.0962795
"Iowa State"	0.0961044
Canadiens	0.0959928
"Tampa Bay Buccaneers"	0.0959747
jet	0.0956546
Inter	0.0956307
"Los Angeles Dodgers"	0.09547
pacer	0.095213
"Mississippi State"	0.0950704
"blue devil"	0.0948845
NAU	0.0947566
Minnesota	0.0947146
Knicks	0.0946998
"Milwaukee Bucks"	0.0945534
"Detroit Pistons"	0.0941095
"St. Louis Cardinals"	0.0940507
"Tampa Bay Devil Rays"	0.0940154
Sox	0.0938979
"Georgia Tech"	0.0937742
"Jacksonville Jaguars"	0.0935785
"devil ray"	0.0931595
"Trail Blazers"	0.0928631
husky	0.0928384
"White Sox"	0.0924959
mariner	0.0923127
"Montreal Expos"	0.0921824
"San Jose State"	0.0920498
"Michigan State"	0.0920059
"Edmonton Oilers"	0.0919659
UCLA	0.0919508
"San Diego Padres"	0.091641
"Washington State"	0.091138
"Scarlet Knights"	0.0908966
Hokies	0.090809
"Chicago Cubs"	0.0907916
"Notre Dame"	0.0906373
"Minnesota Twins"	0.0905593
"Boston Red Sox"	0.0905127
ranger	0.0903099
"Seattle Mariners"	0.0900733
"Pittsburgh Pirates"	0.0899526
islander	0.0899519
"Montreal Canadiens"	0.0899248
"New Jersey Nets"	0.0897818
"Cleveland Indians"	0.0896958
FSU	0.0896193
"New York Mets"	0.0895535
OSU	0.089491
"Mighty Ducks"	0.0888994
"Anaheim Angels"	0.0888622
Razorback	0.0887327
"Miami Heat"	0.0887236
brewer	0.0887201
Buffalo	0.0886904
Edmonton	0.0885392
flyer	0.0883939
"Louisiana Tech"	0.088177
))
("Bengie Molina" (desc 2156.51) (sims
"Orlando Palmeiro"	0.272314
"Damian Miller"	0.271289
"Todd Greene"	0.270425
"Scott Spiezio"	0.264378
"Adam Kennedy"	0.259026
"Matt Walbeck"	0.252777
"Troy Glaus"	0.2465
"Garret Anderson"	0.24599
Rolen	0.242574
Fullmer	0.240105
"Phil Nevin"	0.23641
"Chris Widger"	0.231744
"Carlos Lee"	0.229831
"Joe Randa"	0.227885
"Paul Bako"	0.223625
Glaus	0.221351
"Tim Salmon"	0.213739
"Gary DiSarcina"	0.207778
"Matt Lawton"	0.20724
"Darin Erstad"	0.207017
Cirillo	0.200247
"Mark Kotsay"	0.199491
Vidro	0.19721
"Todd Pratt"	0.195912
"Derrek Lee"	0.19275
"Preston Wilson"	0.191123
"Deivi Cruz"	0.188619
"Kevin Jordan"	0.188384
Burnitz	0.187606
Erstad	0.18701
"Mike Lieberthal"	0.186836
"Miguel Tejada"	0.186319
"Joe McEwing"	0.185178
Randa	0.184339
"Kevin Stocker"	0.184067
"Randy Velarde"	0.184063
"Kelly Stinnett"	0.183249
Molina	0.181199
"Tony Eusebio"	0.180499
"Benji Gil"	0.180096
"J.T Snow"	0.17832
Renteria	0.177717
"Mark Loretta"	0.175651
"Angel Pena"	0.175259
"Ron Coomer"	0.173926
Alicea	0.173201
"Bruce Aven"	0.173128
"Rondell White"	0.17284
"Jeff Huson"	0.172648
"John Vander Wal"	0.17225
"Einar Diaz"	0.171353
Abreu	0.170586
"Mike Sweeney"	0.170207
"Richie Sexson"	0.170169
"Neifi Perez"	0.169791
"Cristian Guzman"	0.169121
"Brook Fordyce"	0.168998
"Andy Sheets"	0.168384
"Eric Owens"	0.167058
"Jeff Conine"	0.166997
"Bill Mueller"	0.166826
"Paul Konerko"	0.165828
"Ben Grieve"	0.165525
Hollins	0.165297
Aurilia	0.164727
Batista	0.164461
"Geoff Jenkins"	0.164393
"Eddie Taubensee"	0.164183
"Jason Kendall"	0.162841
"Jose Vidro"	0.162633
"Danny Bautista"	0.160943
Higginson	0.159319
"Rich Aurilia"	0.1592
Varitek	0.158833
Bordick	0.158677
McGriff	0.15863
"Eric Chavez"	0.158336
"Darrin Fletcher"	0.158089
"Alex Gonzalez"	0.158039
"Marvin Benard"	0.15692
Beltran	0.156709
"David Ortiz"	0.156591
Lankford	0.156445
"Jason Varitek"	0.156422
"Travis Lee"	0.155968
"Bobby Estalella"	0.155443
"Bobby Higginson"	0.155077
"Juan Encarnacion"	0.154755
"Warren Morris"	0.154706
"Dean Palmer"	0.154704
"Sandy Alomar"	0.154492
"Gregg Zaun"	0.154476
"Carlos Beltran"	0.154226
"Pat Meares"	0.15405
"Ray Durham"	0.154036
Bautista	0.152138
"Mitch Meluskey"	0.150552
"CARLOS HERNANDEZ"	0.149739
DiSarcina	0.149704
"Tony Batista"	0.148156
"Todd Walker"	0.147443
Agbayani	0.147344
"Terrence Long"	0.147187
"Pat Burrell"	0.146979
"Jason McDonald"	0.146679
"J.D Drew"	0.146003
"Todd Helton"	0.14524
Veras	0.145089
"Bobby Abreu"	0.144948
Tejada	0.144728
"Kevin Young"	0.144084
"Jim Edmonds"	0.143679
Ordonez	0.143422
"Eric Karros"	0.142277
"Jose Hernandez"	0.141208
"Scott Rolen"	0.140866
"Richard Hidalgo"	0.140853
"Brent Mayne"	0.140581
"Dan Wilson"	0.1401
Nevin	0.139948
"Paul LoDuca"	0.139825
"Jeff Cirillo"	0.13981
Sexson	0.139547
"Jeff Kent"	0.139328
"Dante Bichette"	0.139126
"Tyler Houston"	0.138578
"Mike Lowell"	0.138541
"Chad Kreuter"	0.138432
"Russ Johnson"	0.138265
Fryman	0.138004
"Brad Ausmus"	0.137695
"Cliff Floyd"	0.137474
"Enrique Wilson"	0.137265
"Adrian Beltre"	0.137251
Lieberthal	0.137179
"Benny Agbayani"	0.136557
"Luis Alicea"	0.136395
"Dave Hollins"	0.13599
Bergeron	0.135937
"Brian Johnson"	0.13572
"Marquis Grissom"	0.135678
"Jorge Fabregas"	0.135423
"Matt Franco"	0.135198
"Doug Glanville"	0.135116
"Tom Lampkin"	0.134882
"Jason Giambi"	0.134035
"Vladimir Guerrero"	0.133367
Tatis	0.13255
DeShields	0.132375
"Jose Valentin"	0.132186
"Henry Rodriguez"	0.132114
"Ruben Rivera"	0.131936
"Charlie Hayes"	0.131725
"Jay Bell"	0.131711
Saenz	0.131597
Valentin	0.131468
"Dmitri Young"	0.131384
"Corey Koskie"	0.1309
Giambi	0.129934
"Dave Hansen"	0.129434
"Seth Etherton"	0.129432
"Jose Guillen"	0.129059
"Brian Giles"	0.128994
"Dave Martinez"	0.128843
"Eddie Perez"	0.128767
"Brian Daubach"	0.128523
"Mo Vaughn"	0.1281
Palmeiro	0.128021
"Raul Ibanez"	0.127785
"Cecil Fielder"	0.127692
"Mike Lamb"	0.127313
"Fred McGriff"	0.126667
"Wally Joyner"	0.12609
Olerud	0.126054
"Johnny Damon"	0.126054
"Keith Lockhart"	0.125979
Alfonzo	0.125962
"Erubiel Durazo"	0.125833
"Matt Stairs"	0.125772
"Edgardo Alfonzo"	0.125693
"Herbert Perry"	0.125243
"Daryle Ward"	0.124824
"Bill Haselman"	0.124768
"Lance Berkman"	0.124695
"Scott Hatteberg"	0.124336
"Tim Bogar"	0.124225
"Damian Jackson"	0.123921
"Mickey Morandini"	0.123845
"Melvin Mora"	0.123828
"Javy Lopez"	0.123825
Lawton	0.12351
Vaughn	0.123348
"Tony Womack"	0.123286
"Ivan Rodriguez"	0.123155
Vizquel	0.123087
"Ron Gant"	0.122932
"Travis Fryman"	0.122724
"Darren Bragg"	0.122347
Elster	0.122337
"Scott Schoeneweis"	0.122245
"David Bell"	0.121661
Karros	0.12158
"Jorge Posada"	0.121482
"Quilvio Veras"	0.120588
"Luis Gonzalez"	0.120558
"Miguel Cairo"	0.119923
"Pokey Reese"	0.119725
"Brady Anderson"	0.119588
"Jeffrey Hammonds"	0.119565
"Ricky Gutierrez"	0.119444
Spiers	0.119192
Dunston	0.119147
Alomar	0.119004
"Lenny Harris"	0.118756
"Mike Bordick"	0.118714
Glanville	0.118367
"Stan Javier"	0.118294
Frye	0.11793
"Jay Payton"	0.117736
"Luis Castillo"	0.117119
Grudzielanek	0.117117
"Rico Brogna"	0.116929
"David Dellucci"	0.116658
"Reggie Sanders"	0.11662
Burks	0.116486
"Chris Gomez"	0.115639
"Ricky Ledee"	0.115584
Kapler	0.115559
"Alex Cora"	0.115158
"Ken Caminiti"	0.115155
Catalanotto	0.115114
Velarde	0.115102
"Damion Easley"	0.114937
Surhoff	0.114809
"Mark Grudzielanek"	0.114377
Konerko	0.114278
"F.P Santangelo"	0.114243
"Steve Finley"	0.113997
"Chad Curtis"	0.113986
Javier	0.113886
"Karim Garcia"	0.113817
"Jermaine Dye"	0.113738
Thome	0.113593
Biggio	0.113206
"Jose Offerman"	0.112763
"Joe Girardi"	0.112536
"Gregg Jefferies"	0.11218
"Charles Johnson"	0.112144
"Devon White"	0.112142
"Will Clark"	0.111866
"Luis Lopez"	0.111722
"Mark Grace"	0.111674
Segui	0.111663
"Scott Brosius"	0.111512
"Jeff Bagwell"	0.111494
"Gary Sheffield"	0.111396
Stinnett	0.110704
"Bubba Trammell"	0.110492
"John Mabry"	0.11024
"Royce Clayton"	0.11023
Bagwell	0.110155
Womack	0.109961
"Derek Bell"	0.109906
"Bill Spiers"	0.109891
"Kurt Abbott"	0.109865
"John Valentin"	0.109578
"Trot Nixon"	0.109356
"Chuck Knoblauch"	0.10935
Hatteberg	0.109133
"Darryl Hamilton"	0.109037
"Glenallen Hill"	0.109021
Brosius	0.108948
"Ramon Ortiz"	0.108774
"Jeremy Giambi"	0.108753
"Al Martin"	0.108564
"Kenny Lofton"	0.108503
"Fernando Vina"	0.108229
"Walt Weiss"	0.108039
"Mike Cameron"	0.107999
"Tom Goodwin"	0.107656
"Tino Martinez"	0.107653
"Matt Luke"	0.10726
"B.J Surhoff"	0.107057
Castilla	0.106807
"Tony Phillips"	0.106341
"Aaron Boone"	0.106107
"Troy O'Leary"	0.105877
"John Olerud"	0.105776
"Brad Fullmer"	0.105638
"Matt Williams"	0.105566
"Harold Baines"	0.105435
"Todd Hundley"	0.105295
"Gabe Kapler"	0.105074
"Gerald Williams"	0.104767
Merloni	0.104764
Beltre	0.104517
"Brian Hunter"	0.104157
"Barry Larkin"	0.104051
"Brant Brown"	0.10391
"Andruw Jones"	0.103727
"Butch Huskey"	0.103706
Sprague	0.103062
"Rafael Furcal"	0.102488
Lofton	0.102426
"Roger Cedeno"	0.102423
Meares	0.102382
"Vinny Castilla"	0.102361
"Greg Myers"	0.102248
"Shawn Green"	0.102196
"Wilton Veras"	0.102121
"Quinton McCracken"	0.101647
"Omar Vizquel"	0.101184
"Carlos Delgado"	0.101155
Baines	0.101083
"Edgar Martinez"	0.101048
"Mike Scioscia"	0.101039
"Frank Thomas"	0.100816
"Edgar Renteria"	0.100499
Baerga	0.100369
Walbeck	0.100236
))
(Bengkulu (desc 4552.04) (sims
Ambon	0.196853
Riau	0.182594
Palembang	0.178846
Quetta	0.176607
Medan	0.174155
Jayapura	0.17174
Lampung	0.163208
"Central Java"	0.160971
Zhangbei	0.159199
"West Kalimantan"	0.149916
Manado	0.146586
Shiraz	0.142329
Taloqan	0.141324
Izmit	0.137515
Surabaya	0.132713
"Irian Jaya"	0.129397
"West Java"	0.129311
Davao	0.127876
Kupang	0.12652
Peshawar	0.126015
Yogyakarta	0.125703
Bamiyan	0.125387
Aceh	0.12537
Nakuru	0.12327
Adana	0.123197
Kuito	0.119569
"South Sulawesi"	0.11914
Jalalabad	0.117942
Lijiang	0.117201
Marjayoun	0.117135
Sulawesi	0.116569
"East Java"	0.11481
Zamboanga	0.113368
Juba	0.113202
Herat	0.112561
PATNA	0.112376
Maluku	0.110393
Charikar	0.110374
Haicheng	0.109704
Tapachula	0.109502
Jakarta	0.108483
"Greek capital"	0.107761
Golcuk	0.107487
Huambo	0.107311
Talipao	0.106175
Medellin	0.104291
Dushanbe	0.104013
Murmansk	0.10332
Bandung	0.102338
Lhokseumawe	0.102093
Gulu	0.101582
Trincomalee	0.0997651
Phuket	0.099239
Kandy	0.0992106
Mashhad	0.0990065
Cebu	0.0984537
Yerevan	0.0981697
Mankulam	0.0974664
Isfahan	0.0960687
"CHIANG MAI"	0.0952737
Batam	0.0951736
Dili	0.0948952
Gudermes	0.0946434
Najaf	0.0944886
Tangshan	0.0944461
"North Island"	0.0938487
Jolo	0.0936306
Dubrovnik	0.0932621
"Guatemala City"	0.0932498
"San Pedro Sula"	0.0928115
Larnaca	0.0920491
Pereira	0.0914942
Walkerton	0.0914685
Bulawayo	0.091239
Lahore	0.0910926
Atambua	0.0910546
"East Kalimantan"	0.0908822
Vladikavkaz	0.0908472
Srinagar	0.0908453
Cotabato	0.0905489
Nabatiyeh	0.0905404
"East Nusa Tenggara"	0.0904796
Zhangjiakou	0.0899249
"La Paz"	0.0898313
Nago	0.0893292
Sidon	0.0888661
Posoltega	0.0887296
Kisumu	0.0883315
Mazar-i-Sharif	0.087766
Vientiane	0.087754
Sumatra	0.0875674
Bali	0.0873515
Antalya	0.0870538
Podgorica	0.0867963
Mombasa	0.0867819
Gnjilane	0.0866038
Diyarbakir	0.0865101
Vilnius	0.0852884
Srbica	0.0850148
Tete	0.08478
Makhachkala	0.0847435
Quito	0.0846051
Chennai	0.0846013
Ballymoney	0.0845158
"Chiang Rai"	0.0840214
Paphos	0.0837393
Mosul	0.083462
Punjab	0.0833403
Baidoa	0.0829815
Urosevac	0.0829279
Sofala	0.082313
"Novi Sad"	0.0820677
Monrovia	0.082019
Istanbul	0.0817519
Izmir	0.0816242
Batticaloa	0.0813161
Ibadan	0.0812529
Basra	0.0810298
Pristina	0.080973
"Metro Manila"	0.0807847
Mbarara	0.0803588
Cartagena	0.0802095
Bujumbura	0.0801159
Warri	0.0795762
Bushehr	0.0795325
Prizren	0.0793519
Sihanoukville	0.0792283
Beira	0.0792073
Karachi	0.0791844
Tabriz	0.079161
Baoding	0.0788586
Algiers	0.0787549
Port-au-Prince	0.0786276
Prijedor	0.078268
Xining	0.0782649
Decani	0.0778862
Hyderabad	0.0777944
"Kosovska Mitrovica"	0.0773678
Haikou	0.0772732
Alexandria	0.0769456
Bangalore	0.0768543
Acapulco	0.07665
Guayaquil	0.0762181
Rafah	0.0761913
Astana	0.075938
Kismayu	0.0759325
Managua	0.0756151
Caprivi	0.0755114
Bogor	0.0753176
Lucknow	0.0748588
Kunming	0.0747693
TEGUCIGALPA	0.0745938
Catania	0.0745512
"Wichita Falls"	0.0745236
Krasnoyarsk	0.0744897
HARARE	0.0743221
Guiyang	0.0742909
Wellington	0.0742322
Sindh	0.0742203
subdistrict	0.0741941
Changsha	0.0741297
CHENGDU	0.0739878
Moroni	0.0739109
Fuzhou	0.0737654
Limassol	0.0734463
Lubumbashi	0.0732125
NIS	0.0729916
Brazzaville	0.0729641
Hefei	0.0727941
Baotou	0.0727933
Kinshasa	0.0724569
Cabinda	0.0724162
Novosibirsk	0.072339
Aswan	0.0722578
Jaffna	0.0720784
Shashi	0.0719067
BIE	0.0715442
Kabul	0.0715247
"Port Moresby"	0.0712722
"Siem Reap"	0.0712355
Lanzhou	0.071213
SANAA	0.0712127
Haifa	0.0712034
Baalbek	0.0707904
Lima	0.070773
Bangor	0.0707588
Harbin	0.0707119
Luanda	0.070573
PEC	0.0705446
Bangui	0.070485
"Russian capital"	0.0703334
Asmara	0.0702667
Christchurch	0.0701833
Xenia	0.0700049
Bukavu	0.0699338
Goma	0.0697923
"North Maluku"	0.0697344
CHANGCHUN	0.0696943
CARACAS	0.0696881
Ndola	0.0696342
))
(Benguela (desc 1595.3) (sims
BIE	0.31684
Huambo	0.27773
Kuito	0.187551
Nyanza	0.160548
Isfahan	0.158329
Herat	0.156051
Bamiyan	0.15467
Tete	0.142983
Tunceli	0.138722
Khost	0.135977
"North Maluku"	0.129608
Sofala	0.126553
"Chiang Rai"	0.126405
Bailundo	0.12525
Mpumalanga	0.123325
Bingol	0.122112
Katanga	0.120813
Najaf	0.119987
Cochabamba	0.117112
Sirnak	0.115361
Cotabato	0.109864
Palawan	0.109368
Pampanga	0.106277
Riau	0.102183
Vojvodina	0.101265
Cebu	0.0990034
Hakkari	0.0989362
Balochistan	0.0960348
Beira	0.0894889
Antalya	0.0892513
Antioquia	0.0885893
Cabinda	0.0874752
"rift valley"	0.0864746
Basra	0.086159
Tigray	0.0855664
Andulo	0.084996
Zamboanga	0.0847173
Bushehr	0.0836864
Kabwe	0.0832819
"Surat Thani"	0.0832284
Maguindanao	0.0823985
Diyarbakir	0.0816828
"East Kalimantan"	0.0794358
Putumayo	0.0789328
Cordoba	0.0781422
"CHIANG MAI"	0.077995
Davao	0.0773258
Copperbelt	0.0773166
Sindh	0.0768027
Limon	0.0765356
"East Nusa Tenggara"	0.076398
Izmir	0.0759156
Bekaa	0.0757735
Bursa	0.0755604
Phuket	0.0734282
Toro	0.073365
"Mount Lebanon"	0.0730468
Bataan	0.072816
Kwazulu-Natal	0.0721596
Guantanamo	0.0720112
Darien	0.0715525
Gauteng	0.0715502
Sulu	0.0710649
TAZARA	0.0705662
Norte	0.0701846
"Norfolk Southern"	0.0697595
Meta	0.0691192
Adana	0.0689363
Basilan	0.0687203
Jinzhou	0.068242
Jilin	0.0675983
Multan	0.0675907
Sur	0.0672999
Punjab	0.0669121
"West Kalimantan"	0.0661895
Kurdistan	0.066119
"Western Cape"	0.0657487
"Siem Reap"	0.0655606
Bengkulu	0.063931
Baalbek	0.0637985
Burgos	0.0632149
Mendoza	0.0627074
Assisi	0.0618467
UVA	0.0616673
Haicheng	0.0612592
Gansu	0.0605204
Makeni	0.0596399
Surin	0.0592604
Rafah	0.0590772
Avila	0.0586071
"Eastern Cape"	0.0579714
Maluku	0.057528
Sihanoukville	0.0574692
Baoding	0.0572423
"East Java"	0.0570224
Murmansk	0.0567532
Kragujevac	0.0563136
Qom	0.0558906
Liege	0.0555382
KwaZulu/Natal	0.055479
Dodoma	0.0554219
Taloqan	0.0548236
Lampung	0.0546046
"West Java"	0.0537356
"Central Java"	0.0535081
Santander	0.0534713
Mosul	0.0534096
Izmit	0.0530544
Zhenjiang	0.0528226
"first light"	0.0527377
Kraljevo	0.0527113
Sylhet	0.0525332
Baotou	0.052159
"Northeast China"	0.0518576
Catania	0.0518095
Batticaloa	0.0516742
"Mekong Delta"	0.0511646
Manitoba	0.0510471
Mekong	0.0504797
Kandahar	0.0503628
quiche	0.0501668
Cienfuegos	0.0501654
"South Sulawesi"	0.0496846
Krasnoyarsk	0.0491544
rebuilt	0.0479482
Posoltega	0.047668
Shiraz	0.0473217
Malaga	0.0472529
Oro	0.0471636
Granada	0.0470402
CSX	0.0467854
Pailin	0.0466762
"Serbian Republic"	0.0464367
Yekaterinburg	0.0463348
"Free State"	0.0458615
Kizlyar	0.0458508
Tanga	0.0458212
Mazar-i-Sharif	0.0455106
Leon	0.0451726
SNCF	0.0447242
"Bekaa Valley"	0.0440458
Zhangjiagang	0.0435502
Irbil	0.0431713
"San Miguel"	0.0429898
Aswan	0.0427795
Kandy	0.0427544
Jalalabad	0.0427433
Daqing	0.0426806
"New Brunswick"	0.0426664
Lhokseumawe	0.0426645
"dog bite"	0.0424774
Calabria	0.0424077
Qinhuangdao	0.0421962
Attica	0.0420688
"Total Independence"	0.0416728
Kalimantan	0.0414164
Zhangjiakou	0.0413728
Luzon	0.0409976
Matadi	0.0408587
Ashkelon	0.0406809
Lijiang	0.0406721
Trincomalee	0.0404513
"other nine"	0.0404243
Moshi	0.0403512
Mbale	0.0401737
Shashi	0.0401606
))
(Benigni (desc 3862.44) (sims
"Roberto Benigni"	0.192303
Brosnan	0.113878
Cusack	0.101231
Paltrow	0.100483
Crowe	0.0983211
Solondz	0.0906034
Carrey	0.08741
Shandling	0.0870787
LaBute	0.0850603
Stillman	0.0850562
Duchovny	0.0843896
Puzo	0.0840475
Costner	0.0836133
Darnell	0.0824535
Dench	0.082152
Sheedy	0.0813885
BANDERAS	0.0804736
MAMET	0.0799084
Blume	0.0797323
Kurosawa	0.0788395
"Terrence Malick"	0.0778213
Winkler	0.0774466
Beatty	0.077141
Guralnick	0.0770604
MALICK	0.0766725
Leigh	0.0760135
Tucci	0.0759859
Spielberg	0.0758005
REEVE	0.0756747
Fulmer	0.0754376
Eastwood	0.0752964
Damon	0.0749636
Gooding	0.0744073
Cleese	0.0742969
Groening	0.0742535
Henley	0.0741668
Soderbergh	0.0741016
Streep	0.0737285
Vonnegut	0.0736311
Spacey	0.0732688
"Elia Kazan"	0.0730477
Nolte	0.0730334
Ruehe	0.0726923
Hank	0.0722872
Matthau	0.0717984
Vogel	0.0717397
Tanaka	0.0712657
Farnsworth	0.0706492
"Pat Summerall"	0.0706225
"Patsy Ramsey"	0.0699182
Downey	0.0698569
Sandler	0.0697903
Branagh	0.0695319
Hoffman	0.069106
Susann	0.0687286
Pfeiffer	0.0677547
Theroux	0.0675278
Diggs	0.0674198
Hawke	0.0668065
Alexie	0.0667155
Jorgensen	0.0666323
McEwan	0.0660508
Boorman	0.0660215
Hartley	0.0656781
Caray	0.0656488
Ebbers	0.0648182
Lari	0.0647869
"Billy Crystal"	0.0647673
McDonnell	0.064603
Fiennes	0.0643629
Heche	0.0643366
Rosenblatt	0.0642919
Harrelson	0.0642761
swank	0.0642077
"Woody Allen"	0.0638972
Kazan	0.0636036
Puente	0.0633745
Almodovar	0.0633571
Snipes	0.0631108
Sahadi	0.0630748
McLane	0.0627803
GERE	0.0624681
"John Waters"	0.0620452
Lindbergh	0.0618846
Scorsese	0.0617762
Turturro	0.0616709
Dragila	0.0615112
Levinson	0.0609114
Flockhart	0.0608851
Deneuve	0.0608546
Lowery	0.0602634
Redgrave	0.0601796
Sayles	0.0600059
Atwood	0.0598539
Wolff	0.0598122
Clooney	0.0596922
Appleby	0.0594846
Crocker	0.0593878
McGregor	0.0593466
"Nick Nolte"	0.058978
Kumar	0.0586884
Hartman	0.0586824
Dodik	0.0584857
Astaire	0.0584584
Marchand	0.0582984
Logue	0.0582248
Welles	0.058213
Hamlin	0.0581961
Kagwe	0.0581412
Shevardnadze	0.0580276
Chappell	0.0579869
DiPietro	0.0579099
Wilder	0.0578012
Bloch	0.0576089
Miyazaki	0.0575524
Paxton	0.0574886
Broderick	0.0572717
Pollack	0.0571916
Finkel	0.0571562
Katsav	0.0571531
Cooke	0.057112
Saleh	0.057068
Kubrick	0.0570308
Barrymore	0.0569614
Wolfe	0.0568396
"Kirk Douglas"	0.0568387
Remnick	0.0567493
"Van Dyke"	0.0567438
Tran	0.0567323
Silverstein	0.0566458
Swenson	0.0564915
Crenshaw	0.0564798
Oliveira	0.0564739
Jimy	0.0563957
Shatner	0.0563507
Rowling	0.0562136
Tilberis	0.0561916
O'Malley	0.0561785
Zagallo	0.0560424
Monahan	0.0559856
Olivier	0.0559521
"Mel Gibson"	0.0558781
Halberstam	0.0558752
Maslyukov	0.0556981
McCartney	0.0555617
Kay	0.0555433
Malik	0.05545
Kopp	0.0553201
"American Beauty"	0.0552632
Janice	0.0552158
Lange	0.0552118
Naipaul	0.0552102
Chan	0.0550977
Menchu	0.05504
Pryor	0.0550327
"Matt Damon"	0.0550168
"Jackie Chan"	0.0549308
Flanagan	0.0549151
McGraw	0.0548682
Travolta	0.0548576
Doherty	0.0546703
Redford	0.0546602
Antley	0.0545963
Allen	0.0545198
Samuelson	0.0544836
Klemperer	0.0542972
Boyle	0.0542456
Schulz	0.0541625
Boller	0.0540384
Coppola	0.0540356
Titov	0.0538618
Murrell	0.0538563
Reiner	0.0535968
Sherrill	0.0535633
Gielgud	0.0534114
Baugh	0.0532585
Rawlings	0.0532382
McNulty	0.0532171
Kidman	0.0530831
Summitt	0.053046
Cline	0.0530126
Pearce	0.052955
Quintero	0.0526899
Griffith	0.0526168
"Ray Romano"	0.052497
Merritt	0.0524949
Neff	0.0524486
Robson	0.0523948
Morse	0.0523125
"Dame Judi Dench"	0.0521769
Stoyanov	0.0521168
Bech	0.0519742
"David Spade"	0.0519712
Ochoa	0.0519371
Kelleher	0.0519225
Kaufman	0.0518847
Szabo	0.0518751
Wayne	0.0518726
Auerbach	0.0518478
Daniels	0.0518401
))
(Benin (desc 9669.48) (sims
Mali	0.329927
Niger	0.322948
"Burkina Faso"	0.311185
Gambia	0.310654
Togo	0.307548
Gabon	0.304623
Mauritania	0.281086
Senegal	0.279067
Ghana	0.271662
Chad	0.265364
Cameroun	0.259609
Madagascar	0.256817
Guinea	0.247615
"Ivory Coast"	0.24406
Malawi	0.240854
"Equatorial Guinea"	0.237674
Botswana	0.229214
Mauritius	0.223504
Cameroon	0.216653
"Guinea Bissau"	0.203413
Namibia	0.202684
"Sao Tome and Principe"	0.201199
"Cape Verde"	0.200693
Djibouti	0.196325
Mozambique	0.194531
Seychelles	0.19431
"Central African Republic"	0.192127
Liberia	0.187156
Comoros	0.185202
Tunisia	0.182816
Guinea-Bissau	0.174711
Angola	0.171696
Burundi	0.170528
Nigeria	0.168922
"Republic of Congo"	0.166832
Tanzania	0.164794
Algeria	0.164018
Swaziland	0.163895
Ivoire	0.16314
"Sierra Leone"	0.160288
Zambia	0.157169
Kenya	0.155853
Ethiopia	0.155515
Zimbabwe	0.154275
Uganda	0.154132
Congo	0.147466
Lesotho	0.145933
"Democratic Congo"	0.142413
Sudan	0.138102
Zaire	0.137852
Morocco	0.135224
Surinam	0.133628
"South Africa"	0.131817
Rwanda	0.130031
Brunei	0.128462
Guyana	0.128388
Azerbaijan	0.120914
Bolivia	0.120801
Libya	0.118974
Egypt	0.11824
Yemen	0.116831
Mongolia	0.111461
"African country"	0.109945
Moldova	0.109552
Somalia	0.109503
Armenia	0.109224
Cambodia	0.107649
Bangladesh	0.107213
"Costa Rica"	0.106223
Eritrea	0.105204
Oman	0.104115
Uruguay	0.10409
"Democratic Republic of the Congo"	0.103287
"Democratic Republic"	0.101925
Uzbekistan	0.100852
Turkmenistan	0.100236
Panama	0.0999238
Venezuela	0.0999113
Kyrgyzstan	0.0998735
Bahrain	0.0993692
Peru	0.0991936
Slovenia	0.0985638
Kirghizstan	0.098468
Nicaragua	0.0977092
Hungary	0.0971155
"Central Africa"	0.0966751
Tajikistan	0.0963232
Argentina	0.0961567
"United Arab Emirates"	0.0954454
Bulgaria	0.0949164
Ecuador	0.0946415
Ukraine	0.0945904
"Trinidad and Tobago"	0.0942645
Laos	0.0942353
"El Salvador"	0.0940012
Guatemala	0.0939793
Burma	0.0939024
"Sri Lanka"	0.0938722
Kazakhstan	0.0936341
Poland	0.0931145
Fiji	0.0930778
Maldives	0.0926774
Jamaica	0.0923571
"Papua New Guinea"	0.0915164
Kazakstan	0.0914046
Iceland	0.0909529
Paraguay	0.0906643
Qatar	0.090294
"Viet Nam"	0.0902676
Malaysia	0.0902145
Finland	0.0901982
DRC	0.0887111
Portugal	0.0882774
Honduras	0.0882126
"Saudi Arabia"	0.0876181
Malta	0.0864809
Colombia	0.0849108
Vanuatu	0.0844194
Estonia	0.0841189
Norway	0.0838733
"African nation"	0.0838564
Nepal	0.0836497
Belarus	0.0835351
Latvia	0.0833436
Indonesia	0.0826204
Haiti	0.0825058
ROK	0.0823209
Pakistan	0.0822979
Belize	0.0822024
Belgium	0.0820283
Romania	0.0816604
Kiribati	0.0812115
Chile	0.0810354
Thailand	0.0809515
Brazil	0.0808338
Slovakia	0.0807018
Lithuania	0.0802544
Bhutan	0.079931
Palau	0.0797116
Barbados	0.0793149
"Dominican Republic"	0.0791445
PNG	0.0784408
Luxembourg	0.0783708
Myanmar	0.0777605
Kuwait	0.0772077
Austria	0.0771362
Philippines	0.0761223
"Democratic Republic of Congo"	0.075893
Republic	0.0757219
Denmark	0.0751703
"Irish Republic"	0.0751539
Vietnam	0.0748619
"Republic of Korea"	0.0746678
Cyprus	0.0741866
"South Vietnam"	0.0741317
Cuba	0.0741047
Iran	0.0740857
Tadzhikistan	0.0737374
Croatia	0.0735206
Spain	0.072577
"New Zealand"	0.0725059
Switzerland	0.07238
Albania	0.0723091
"South Korea"	0.0720664
Mexico	0.0719992
Netherlands	0.0719142
"United Kingdom"	0.0715001
Dominica	0.0711256
"Czech Republic"	0.0701735
Sweden	0.0697643
Greece	0.0690676
UAE	0.0682403
DPRK	0.0670984
Ireland	0.0669594
Martinique	0.0668747
Grenada	0.0664048
"member country"	0.0658681
Singapore	0.0656681
Bosnia-Herzegovina	0.0653736
Suriname	0.0650141
Lao	0.0650119
Tonga	0.0649887
"Asian nation"	0.0647503
Czechoslovakia	0.0646486
Zanzibar	0.0640368
"Congo Republic"	0.0640282
Abkhazia	0.0634961
Lebanon	0.0628141
Bosnia	0.0624865
"Central American country"	0.0621218
Afghanistan	0.0617588
Bahamas	0.0615865
Taiwan	0.0615796
Macedonia	0.061544
"Russian Federation"	0.0610509
Syria	0.0608963
Montenegro	0.0606955
Korea	0.0604232
Somaliland	0.0604148
Luxemburg	0.0602072
))
(Bening (desc 2837.88) (sims
Sheedy	0.116633
DeVito	0.111713
Fiorina	0.111708
"Annette Bening"	0.110753
Dench	0.0991494
McDonnell	0.0969637
Kurth	0.0961155
Midler	0.093144
Flockhart	0.0871646
Cline	0.0850279
Crowe	0.0849833
O'Hara	0.0833566
Winslet	0.0828515
Marchand	0.0820798
Lockwood	0.0815323
Paltrow	0.0791358
Garber	0.079112
Ciampi	0.0780824
Bartoli	0.0775214
Zellweger	0.0767259
Marulanda	0.0763597
Hartman	0.0762271
Wasserstein	0.0760909
Witherspoon	0.0751305
Hartley	0.0747786
Farber	0.0747754
Vogel	0.0743433
Orton	0.0742785
Ivey	0.0741293
Pfeiffer	0.0738699
Pierson	0.0730066
Doherty	0.0722034
Greenwald	0.0718055
Hickman	0.0716556
Meissner	0.0709287
Henning	0.0705585
Tilberis	0.0702182
Judd	0.0702007
Costner	0.0694386
Brazile	0.0692963
Blanchett	0.0688889
Redgrave	0.0686851
Chukwu	0.0684306
Jaffe	0.0682599
Branagh	0.0680324
Marceau	0.0679134
Janssen	0.0678458
Hecht	0.0674954
Jolie	0.0674394
Albrecht	0.0674351
Gillespie	0.0663963
Streep	0.0663963
Lurie	0.0662503
Hamlin	0.0659163
Cleary	0.0658406
Briscoe	0.0657414
Nilsson	0.0655923
Barad	0.0654506
Hagen	0.0651576
Ono	0.0650351
Slatkin	0.064899
Betts	0.0647334
Keitel	0.0646719
Murrell	0.064627
COYNE	0.0644662
Russo	0.0640306
Mucha	0.0639588
pressman	0.0637689
Boyle	0.0635586
Marinovich	0.063165
Winn	0.0630498
Clooney	0.0627521
O'Connell	0.0626707
Pape	0.0626488
Couric	0.0624675
Kingsley	0.0623606
Mckee	0.0622279
Sheehy	0.0621618
Krall	0.0621525
Deneuve	0.062
Wiggins	0.0619335
Sang	0.0617276
Rosenthal	0.0615246
Lowry	0.0614372
Kidman	0.0612151
"Linda Jones"	0.0612054
Mapes	0.0611557
Tuttle	0.0610121
Valenzuela	0.060953
Knapp	0.0608511
Ackerman	0.0606502
Dion	0.0601883
Taufik	0.0599344
McLachlan	0.0597231
Kulikov	0.0594376
"Heather Graham"	0.0592508
swank	0.0592198
Ashrawi	0.0592146
Henley	0.0592114
Goldin	0.0590923
Jeffers	0.0589957
Pearce	0.0588851
Schafer	0.0586501
Barnett	0.0586374
Rowley	0.0586305
Willis	0.0584296
Rowe	0.0584128
Manheim	0.0582577
REEVE	0.0582171
Patton	0.0581642
Gaffney	0.0581129
Demaci	0.0578482
Mortimer	0.0578113
Trevi	0.0578068
Ricci	0.0577968
Simone	0.0577362
Mahoney	0.0577017
Ryder	0.0576421
Northup	0.0575814
Scruggs	0.0573064
Kline	0.0572671
Gifford	0.0572098
Liston	0.0569856
Tomlin	0.0568566
Bergman	0.0568072
Rowling	0.0567592
Morley	0.0566372
Griffith	0.0564754
Wilder	0.0563668
Heche	0.0563042
Affleck	0.0562873
Batouty	0.0562712
Edson	0.056159
Macdonald	0.056103
Duvall	0.0559963
Moratinos	0.0559686
Barrymore	0.0558466
Gannon	0.0557273
Reyes	0.0557114
Menchu	0.0556989
Tucci	0.0556291
krueger	0.0555378
Swenson	0.0555173
Ingalls	0.0553837
Bragg	0.0551594
Perrot	0.0549929
swain	0.054976
Spacey	0.0549726
DeFrantz	0.0549489
Garvey	0.0549263
Soliah	0.054839
Bassett	0.0547278
Schott	0.0547002
"McCaughey Ross"	0.0546421
Wiatt	0.0545284
Fonda	0.054468
Bessette	0.0541782
McKellen	0.0540506
Mathews	0.0538444
Thurman	0.0538324
Carr	0.0537991
Cusack	0.0537281
Tevanian	0.0537018
Murdock	0.0534916
Jung	0.0534853
lynch	0.0534566
Protas	0.0534206
Farley	0.0533202
Ruehe	0.0532753
Kirkpatrick	0.0532554
Oliveira	0.0532076
Heston	0.0531922
Matthau	0.0530062
Barlow	0.0529923
Michaels	0.0529162
Winfrey	0.0528064
Haines	0.0527618
Stacy	0.0527231
DiCaprio	0.0526188
Byrne	0.0525414
Eastwood	0.0525307
Godfrey	0.052479
Sims	0.052457
Autry	0.0523212
Nasrin	0.0523073
Brundtland	0.0522001
Waddell	0.0521779
Braugher	0.0521135
Blum	0.052068
Franz	0.0520229
Akers	0.0519697
Reimer	0.0518213
Lehmann	0.0518153
Carrey	0.0517695
Grunwald	0.0517647
Boorman	0.0516887
Seltzer	0.0516659
bock	0.0515877
Roberson	0.0515159
Matthaeus	0.0514783
))
(Benitez (desc 4653.86) (sims
"Armando Benitez"	0.192427
Percival	0.159188
Grimsley	0.157871
Dreifort	0.156345
Schourek	0.152201
Wohlers	0.150693
Halama	0.148353
Yoshii	0.146681
Elarton	0.146316
Wetteland	0.145439
Borbon	0.143516
Radke	0.142975
Gagne	0.142929
"Matt Mantei"	0.14233
Dempster	0.139467
Harnisch	0.138796
Isringhausen	0.136964
Nagy	0.136617
Mussina	0.135929
Bohanon	0.133763
Ankiel	0.131041
Burkett	0.130307
Mahomes	0.129335
"Byung-Hyun Kim"	0.129137
Gooden	0.128029
Reynoso	0.127829
Petkovsek	0.12722
Mendoza	0.126662
Fassero	0.124205
"Mike Timlin"	0.124164
Millwood	0.123666
Checo	0.123645
Rusch	0.123563
Benes	0.122695
Valdes	0.122513
Kile	0.121766
McMichael	0.121495
Leiter	0.121378
Franco	0.121188
Mulholland	0.120517
"Jeff Shaw"	0.119703
Herges	0.119512
Parris	0.119453
D'Amico	0.11943
"Todd Jones"	0.119095
Daal	0.118747
Ligtenberg	0.118231
Heredia	0.118173
Mlicki	0.11787
Mantei	0.117649
Rojas	0.116419
Crabtree	0.11632
Pettitte	0.115647
Neagle	0.115646
Stottlemyre	0.115629
Helling	0.115431
Pavano	0.114784
"Bob Wickman"	0.114473
Rivera	0.114372
Mercker	0.113366
Hasegawa	0.11322
Loaiza	0.112908
Appier	0.11251
Pulsipher	0.112329
Clemens	0.112179
Dotel	0.112089
Saberhagen	0.111957
Smoltz	0.111787
Nen	0.111467
"Billy Wagner"	0.111305
"Gregg Olson"	0.111261
Trachsel	0.111181
Belcher	0.11083
"Robb Nen"	0.110733
Cloude	0.110543
Bottenfield	0.110488
"Dennis Cook"	0.110447
"Russ Springer"	0.110443
Meche	0.109988
Remlinger	0.109173
"Jose Mesa"	0.109013
Hershiser	0.108396
"Rich Rodriguez"	0.108273
Wendell	0.107315
Hudek	0.107259
Candiotti	0.107211
Nomo	0.107173
"Turk Wendell"	0.10698
"Pat Mahomes"	0.106532
"Mariano Rivera"	0.106161
Erickson	0.105723
"Paul Shuey"	0.105663
"Jeff Brantley"	0.105452
Astacio	0.105419
Moyer	0.105081
Hermanson	0.104754
"Heathcliff Slocumb"	0.104715
estes	0.103763
Irabu	0.103206
Schoeneweis	0.103196
Perisho	0.103085
"Randy Myers"	0.103082
Stanton	0.102881
"John Franco"	0.102267
"Scott Williamson"	0.101534
Glavine	0.101103
"Ugueth Urbina"	0.101079
Rueter	0.100815
"Octavio Dotel"	0.100154
Osuna	0.0997909
"Greg McMichael"	0.09958
"Scott Radinsky"	0.099492
Etherton	0.0993051
"DOUG JONES"	0.0989601
"Rick Aguilera"	0.0987141
Olivares	0.0986968
Dickson	0.098656
Piazza	0.0985855
Eldred	0.0984055
Paniagua	0.0976813
"Billy Taylor"	0.097675
"Rod Beck"	0.0976398
Maddux	0.0975234
Schilling	0.0975179
Ortiz	0.0969674
"Terry Mulholland"	0.0969275
Tomko	0.0967228
Cordero	0.0965267
"Scott Erickson"	0.0963519
"Mike Stanton"	0.0959279
"Mike Remlinger"	0.095864
Masaoka	0.0958554
"John Wetteland"	0.09583
Hoffman	0.0955964
Cormier	0.0955645
Finley	0.095529
Burba	0.0952684
right-hander	0.0948854
"Jason Isringhausen"	0.0943628
Garces	0.0942953
Bere	0.0941978
Hernandez	0.094152
"Mel Rojas"	0.0941409
"Rick Reed"	0.0941136
Yarnall	0.0939595
"Troy Percival"	0.093534
Contreras	0.093365
Woodard	0.0932068
"Jeff Nelson"	0.0929964
"Kazuhiro Sasaki"	0.0929326
"Dan Miceli"	0.0922093
"Ramiro Mendoza"	0.091976
Zimmerman	0.0917612
Sasaki	0.0912313
Tapani	0.091172
Nevin	0.0911452
"Terry Adams"	0.0910535
Karros	0.0904057
Martinez	0.0903858
"Danny Graves"	0.0901789
Geiger	0.0901301
"Antonio Osuna"	0.0900084
Hampton	0.0898223
Renteria	0.0898053
Burnitz	0.0896833
righthander	0.0891895
"Hideo Nomo"	0.0890845
Guzman	0.0889274
Sele	0.0884153
Orosco	0.0883406
Ordonez	0.0882042
Moehler	0.0881256
Aguilera	0.0880998
Cedeno	0.087564
"Jon Lieber"	0.0875432
"Roger Clemens"	0.0874494
Alicea	0.0869801
"John Rocker"	0.0869324
Alou	0.0868696
Olerud	0.0865756
Perez	0.0865526
Padilla	0.0857393
"Woody Williams"	0.0856239
Washburn	0.0852456
Vazquez	0.0851097
Zeile	0.084982
Mondesi	0.0849794
"Pedro Borbon"	0.0849168
"Ricky Bottalico"	0.0845495
"Chris Carpenter"	0.0845214
"Tom Gordon"	0.0843962
Arrojo	0.0843689
Brister	0.0840879
Brosius	0.0837676
Batista	0.0837385
"Derek Lowe"	0.0832484
"Jesse Orosco"	0.0832095
"Russ Ortiz"	0.0831054
lefthander	0.0831035
Canseco	0.0826463
))
(Benjamin (desc 9004.73) (sims
Nicholas	0.0843489
Carl	0.0801978
"Earl Spencer"	0.079304
Jacob	0.0776836
Joshua	0.0775698
Justin	0.0766767
Matthew	0.0750237
Bautista	0.0740367
Edward	0.072974
Evan	0.0722833
Zachary	0.0721441
Vidro	0.0718635
Paul	0.0715711
Jeff	0.0711756
Brandon	0.0710802
Wyatt	0.0708744
Jonathan	0.0704141
Andrew	0.0701166
John	0.0699004
Danny	0.0698401
Anthony	0.069645
Rolen	0.0692599
Lieberthal	0.0688718
Lankford	0.0688471
Julian	0.0686184
Patrick	0.0682607
Samuel	0.0682402
Brian	0.0679668
Gerald	0.0676502
Ivan	0.0676204
Gerard	0.067414
Christopher	0.0673803
McCarty	0.0670696
Richard	0.0670403
Yitzhak	0.0670373
Kyle	0.0668815
Donald	0.066548
Brent	0.066493
Frye	0.065598
Manuel	0.0654466
Josh	0.0652211
Eric	0.0651942
Steven	0.0651305
William	0.0650166
David	0.0648723
Jeb	0.0642999
Bryan	0.0641982
tom	0.0640525
Vincent	0.0636323
Spencer	0.0634817
Dominic	0.0630555
Stephen	0.0627494
Frank	0.0624564
Cameron	0.0624477
Ronald	0.0623701
Sam	0.0622513
Kirk	0.0620413
Cline	0.0617835
Marty	0.0616748
Spiers	0.0616596
Burks	0.0615768
James	0.0615613
Trevor	0.0612289
Thomas	0.0611605
Gutierrez	0.0611149
Walter	0.0609859
Jim	0.0608125
McGriff	0.0607068
McGrath	0.0607041
Gary	0.0604937
"Mark Loretta"	0.0604638
Bruce	0.0604025
Roger	0.0602058
Raul	0.0601961
Jeremy	0.0600258
Henry	0.0599982
Tommy	0.059716
Jason	0.0597126
Robert	0.0596403
Michael	0.0596021
Maurice	0.059586
Daniel	0.0593829
Daubach	0.059377
Robbie	0.0593019
"Sheikh Saad"	0.0592332
Brett	0.0591455
Valentin	0.0591246
Theo	0.0590913
Joe	0.0589739
Dunston	0.058943
Abreu	0.0588939
Baerga	0.0588379
Ted	0.0587276
Krasniqi	0.0586544
Scott	0.0586372
Andy	0.0583394
Alicea	0.0582817
Ibrahim	0.0582601
Ian	0.0582573
Aaron	0.0582461
Carlos	0.0580357
Veras	0.0580141
Ramon	0.0577263
Roberto	0.0576635
Fullmer	0.0576403
Giles	0.0576333
Cody	0.0575309
Keith	0.0575197
Feldman	0.0574815
Shawn	0.0574799
"Mark Grace"	0.0574704
Randall	0.0574574
Taylor	0.0573556
franklin	0.057262
Albert	0.0570715
Joey	0.0570617
Dave	0.0570567
Joseph	0.0570148
Joachim	0.0569939
"Cliff Floyd"	0.0569074
Larkin	0.0569026
Philip	0.0568755
Casey	0.0567098
Bhattarai	0.0566558
Simon	0.0565221
Tim	0.0564912
Andrei	0.0564873
jack	0.0564701
O'Connell	0.0564338
Neil	0.0564323
Bergeron	0.0564181
"Geoff Jenkins"	0.0562313
"Mark Kotsay"	0.0561438
"Tim Bogar"	0.0559766
McLemore	0.0558932
Marcus	0.0558053
Randa	0.0557949
Jose	0.0557656
Tyler	0.0557148
Hassan	0.0557105
Wheatley	0.0556927
"J.T Snow"	0.0555616
"Scott Spiezio"	0.0555501
Craig	0.055266
Charles	0.055201
Leo	0.0551866
"Derrek Lee"	0.0551682
"Juan Miguel"	0.055103
Isaiah	0.0550062
Bobby	0.054972
Marvin	0.0549035
Ben	0.0548634
Ordonez	0.0547233
Clark	0.05465
Goodwin	0.0546406
Gregory	0.0544906
Jimmy	0.0544316
Menuhin	0.0543956
"Marvin Benard"	0.0543561
Louis	0.0543541
Steve	0.0543494
Adam	0.0543285
Jerry	0.0542833
Kenny	0.0542408
Diggs	0.0540727
Burnitz	0.0540314
Owen	0.0538005
"Preston Wilson"	0.0537761
Cirillo	0.0537562
Raymond	0.0535544
Varitek	0.0534202
Fryman	0.0532976
Boyle	0.053235
Velarde	0.0532326
Bernard	0.0531698
Gabriel	0.0531571
Doug	0.053155
Michel	0.0531143
"Warren Morris"	0.0531008
"Jason Varitek"	0.0529843
Gilkey	0.0529837
Cabrera	0.0529635
Jamie	0.0529261
Sean	0.0528537
"Eric Owens"	0.0528194
Joel	0.0528115
Rene	0.0527649
Ahmed	0.0527451
Randy	0.0527191
Peter	0.0527141
"Mike Benjamin"	0.0526791
Grossberg	0.0526632
timothy	0.0526444
"Cristian Guzman"	0.0526155
Walsh	0.0525716
Dillon	0.0525119
Bloch	0.0524969
Miguel	0.0524447
"John Jr."	0.0523812
Burke	0.0523686
))
("Benjamin Franklin" (desc 2272.43) (sims
"Alexander Hamilton"	0.182341
"John Adams"	0.163959
"Andrew Jackson"	0.157064
"Abraham Lincoln"	0.149625
"Franklin Delano Roosevelt"	0.148559
"Thomas Jefferson"	0.138974
"Robert E. Lee"	0.133853
"James Madison"	0.126185
"Theodore Roosevelt"	0.111414
"George Washington"	0.100531
"Herbert Hoover"	0.0825526
"Winston Churchill"	0.0817566
"Thomas Edison"	0.0814092
"John Quincy Adams"	0.0797674
"Edgar Allan Poe"	0.0792639
"Franklin D. Roosevelt"	0.0736495
"Frederick Douglass"	0.0731025
"Robert Frost"	0.0718274
"John F. Kennedy"	0.0697248
"founding father"	0.0671502
"Alexander the Great"	0.067136
"Franklin Roosevelt"	0.0670287
Masire	0.0657164
"Noboru Takeshita"	0.0649311
Gerstner	0.0647288
Lenin	0.0646453
"Mark Twain"	0.0640586
"Christopher Columbus"	0.0639946
"Teddy Roosevelt"	0.0637489
"Vincent van Gogh"	0.0635952
Stephanopoulos	0.0624007
"Karl Marx"	0.0621336
Confucius	0.0612246
Puzo	0.0610497
Murayama	0.0607352
Jayakumar	0.0600721
Pruett	0.0594956
"T.S Eliot"	0.0589038
"Ulysses S. Grant"	0.0578546
Mitterrand	0.0574789
"Dwight Eisenhower"	0.05719
"plantation owner"	0.0571704
Blackmun	0.0569668
Naipaul	0.056888
kraut	0.0568753
Aristotle	0.0559629
"Dr. Sun Yat-Sen"	0.0556137
"French Revolution"	0.0554011
Kasoulides	0.0552772
"Henry James"	0.0552683
Moratinos	0.0547415
"Paul Revere"	0.0544868
"P.T Barnum"	0.0542148
Modise	0.0540984
Goethe	0.0540609
Gachet	0.0533403
Greenwald	0.0530593
"Mao Tse-tung"	0.0529379
"de Charette"	0.0529378
Bhattarai	0.0525466
Ruehe	0.0522185
"Andrew Carnegie"	0.052164
Papandreou	0.0519051
"Martin Luther King Jr."	0.0518921
"Francis Bacon"	0.0518868
Advani	0.0515729
"Simon Bolivar"	0.0512031
"Truman Capote"	0.0510879
Karimov	0.0506416
"Jesus Christ"	0.0502964
Chappell	0.0502557
"Rick Neuheisel"	0.0499358
Gullit	0.0497873
Fernandes	0.0494153
Westendorp	0.0493654
"Mahatma Gandhi"	0.0492357
"Sam Houston"	0.0491651
"Mao Zedong"	0.0491523
Havelange	0.0489464
"M. Douglas Ivester"	0.048582
"John Paul II"	0.0483694
"Michael Heseltine"	0.0482585
Ikimi	0.048173
Akayev	0.0479092
Bogle	0.0476106
"Secretary General Esmat Abdul-Meguid"	0.0475049
Chaucer	0.0471285
Stoyanov	0.0470813
Mao	0.0470644
Vasile	0.0468447
"Sally Hemings"	0.0466608
Nemtsov	0.0465519
Boueiz	0.04636
"Ho Chi Minh"	0.0461311
"Albert Einstein"	0.046086
Lipponen	0.0459858
Tilberis	0.04584
"Buddy Holly"	0.0456915
Tudjman	0.0456529
Patel	0.0455016
Flanagan	0.0454889
"Jerry Garcia"	0.0454347
Lollar	0.0454013
Orban	0.0453876
Bubb	0.0453491
Harr	0.0452029
Alarcon	0.0450714
"Queen Elizabeth II"	0.0449433
Nzo	0.044764
Neel	0.0447085
"Sheikh Saad"	0.0443135
Gosper	0.0442843
Markovic	0.0440769
"Susan B. Anthony"	0.0437928
Tarrin	0.0436425
Scalfaro	0.0434674
Cao	0.0433076
Goff	0.043283
Isner	0.043168
Khomeini	0.0431662
Ruggiero	0.0430959
Sakakibara	0.0430204
"Atlanta Journal"	0.0429341
"Carlos Salinas"	0.0427812
"Harry Truman"	0.0426807
Sumaye	0.0426636
Klestil	0.0425521
Arbour	0.0425161
Abdel-Meguid	0.0424929
"Ayatollah Ruhollah Khomeini"	0.0424874
Meguid	0.0424596
Mkapa	0.042056
Zuma	0.0419994
Willes	0.0419776
Bloch	0.0417856
Rifkind	0.0416564
Sacagawea	0.0413798
Zeroual	0.041342
Ghali	0.0412964
"Dwight D. Eisenhower"	0.0412364
framer	0.0412072
"Oscar Wilde"	0.0411971
Azad	0.0411351
"Tina Brown"	0.041045
Dini	0.0409511
Cooke	0.0407928
Almodovar	0.0407365
"Charlie Brown"	0.0407288
Hrawi	0.0406946
Heade	0.0406147
Sakyamuni	0.0404793
Wolfensohn	0.040451
Maharaj	0.0404203
Camdessus	0.040244
"Jacques Santer"	0.0402338
Brittan	0.0401662
Marchment	0.0401548
Menuhin	0.0400507
))
("Benjamin Gilman" (desc 2944.22) (sims
"Peter King"	0.315795
"Amo Houghton"	0.299764
"Sue Kelly"	0.292787
"Jack Quinn"	0.279953
"Sherwood Boehlert"	0.277454
"David Dreier"	0.268394
"Michael Forbes"	0.247051
"John Sweeney"	0.229412
"Dan Miller"	0.219751
"Don Young"	0.218735
"Susan Molinari"	0.21361
"Jim Leach"	0.213063
"Dan Burton"	0.204101
"J.C. Watts"	0.194234
"James Sensenbrenner"	0.191696
"Mark Foley"	0.188811
"Porter Goss"	0.188374
"Marge Roukema"	0.173896
"Nita Lowey"	0.171875
"Bill Archer"	0.17153
"Lamar Smith"	0.170594
"Charles Canady"	0.168646
"Christopher Shays"	0.16716
"Jerrold Nadler"	0.165299
"John Conyers"	0.162986
"Carolyn McCarthy"	0.161244
"George Miller"	0.158861
"Connie Morella"	0.157408
"Carolyn Maloney"	0.155093
"Tom Coburn"	0.15501
"Bill McCollum"	0.153813
"Rick Lazio"	0.153522
"Tom Campbell"	0.151996
"John Boehner"	0.151756
"Tony Coelho"	0.149746
"Tom Davis"	0.147303
"Steve Largent"	0.146911
"Henry Waxman"	0.145858
"Nancy Pelosi"	0.143662
"Martin Meehan"	0.14189
"Arthur Levitt"	0.141603
"Christopher Cox"	0.141309
"Maxine Waters"	0.137613
"Matt Salmon"	0.137188
"Billy Tauzin"	0.136937
"Martin Frost"	0.13598
"Jim Kolbe"	0.135254
"Zoe Lofgren"	0.133426
"Lee Hamilton"	0.132465
"John Linder"	0.129903
"Charles Rangel"	0.128975
"Bill Thomas"	0.12885
"Patrick Kennedy"	0.125873
"Mark Sanford"	0.125787
"Asa Hutchinson"	0.125601
"John Shalikashvili"	0.123709
"Henry Hyde"	0.120905
"Roy Romer"	0.120098
"Pete Domenici"	0.119866
"Charles Schumer"	0.119302
"Linda Smith"	0.118657
"John Dingell"	0.11863
"Greg Ganske"	0.118621
"Jennifer Dunn"	0.118113
"Henry Bonilla"	0.116653
"Jim Nicholson"	0.116635
"William Roth"	0.115803
"Ed Bryant"	0.115034
"Hugh Shelton"	0.114412
"Sheila Jackson Lee"	0.111832
"Ron Paul"	0.110863
"Lloyd Doggett"	0.109878
"John Kasich"	0.109465
"Jesse Helms"	0.109296
"Christopher Smith"	0.108844
"Sumner Redstone"	0.108273
"Nancy Johnson"	0.10815
"Charlie Norwood"	0.108077
"George Nethercutt"	0.108049
"Jim McDermott"	0.107355
"Jack Kingston"	0.107262
"David Bonior"	0.107147
"Jim Bunning"	0.106713
"Fred Upton"	0.106296
"Chris Smith"	0.106111
"Charles E. Schumer"	0.105843
"Curt Weldon"	0.102983
"Mary Bono"	0.102426
"Bernard Sanders"	0.10234
R-N.Y.	0.100499
"Tillie Fowler"	0.100467
"Bob Barr"	0.100181
"Lindsey Graham"	0.0995277
"Orrin Hatch"	0.0993306
R-Del.	0.099326
"Charles Dolan"	0.0987234
"Ted Stevens"	0.0986659
"James Rogan"	0.0986361
"Loretta Sanchez"	0.0985572
"Julian Bond"	0.0983332
"John Lewis"	0.097224
"Henry H. Shelton"	0.0960167
"Gerald Levin"	0.0952498
"Tom Johnson"	0.0951804
"Barney Frank"	0.0937836
"Jack Gargan"	0.0932721
"Nur Misuari"	0.0931312
"George Gekas"	0.0914094
"Robert Torricelli"	0.0902515
"John Warner"	0.0901813
"Phil Gramm"	0.0896804
"Yegor Stroyev"	0.0884755
"Jose Serrano"	0.0879539
"Steve Chabot"	0.0878175
"Bob Franks"	0.0865737
Gilman	0.085917
"Alfonse D'Amato"	0.0857605
"Amien Rais"	0.0855692
"Richard Shelby"	0.0852667
"Archbishop Desmond Tutu"	0.085209
Harmoko	0.0849882
"Martin Lee"	0.0849349
"Robert Menendez"	0.0832556
"Henry Shelton"	0.0832005
"Paul Coverdell"	0.082863
"M. Douglas Ivester"	0.0827912
"Jack Welch"	0.0827039
"Charles Stenholm"	0.0800579
"Qin Huasun"	0.0799653
"Dick Armey"	0.0797757
"Joseph Biden"	0.0796901
"Richard Lugar"	0.0788538
"Yossi Sarid"	0.0785478
"Kay Bailey Hutchison"	0.0757611
"Desmond Tutu"	0.075315
"Bob Livingston"	0.0745754
"Klaus Naumann"	0.0740139
"Frank Murkowski"	0.0738234
"Craig Thomas"	0.0736991
"John Breaux"	0.0736098
"Chea Sim"	0.0733929
"Marzuki Darusman"	0.0733311
"Fred Thompson"	0.0732355
"Steve Case"	0.0728455
"Wang Daohan"	0.0727081
"Mitch McConnell"	0.072472
"Jerry Reinsdorf"	0.0724576
"Robert Bennett"	0.0723073
"Michael Eisner"	0.0721502
"Charlene Barshefsky"	0.0714796
"Oskar Lafontaine"	0.0712952
"Li Ruihuan"	0.0712613
"Norm Dicks"	0.0711248
"Than Shwe"	0.0707841
"Bob Smith"	0.0707301
"William Daley"	0.0684196
"Spencer Abraham"	0.0680424
"Mel Karmazin"	0.0680239
"Alija Izetbegovic"	0.0677341
"Ernest Hollings"	0.0674884
"Richard Gephardt"	0.0674841
"Tom DeLay"	0.0670143
"John Chafee"	0.0666079
"Alan Greenspan"	0.06595
"Tommy Thompson"	0.0658834
"Daniel Patrick Moynihan"	0.0646661
Hyde	0.0646176
"Roy Barnes"	0.0644238
"George Pataki"	0.0640961
"Gianni Agnelli"	0.0637904
"Robert Aventajado"	0.0637608
"Gennady Seleznyov"	0.0637433
"Rolf Ekeus"	0.0637185
"Jacques Rogge"	0.0636722
"Conrad Burns"	0.0636349
"Adem Demaci"	0.063167
"Lucio Tan"	0.06309
"Pat Roberts"	0.0626778
"Jon Kyl"	0.0624011
"Arlen Specter"	0.0623038
R-Alaska	0.0620262
Brownback	0.0617599
"Jack Smith"	0.0609777
Kennard	0.0608832
R-Ind.	0.060634
"John Browne"	0.0604925
"Connie Mack"	0.0604612
R-Iowa	0.0602834
"Charles Grassley"	0.0602406
R-Fla.	0.0599824
"Gene Sperling"	0.0599078
"Sam Brownback"	0.0599002
"Jim Turner"	0.0596571
"Qiao Shi"	0.0593441
"Rick White"	0.0589134
"Scott McNealy"	0.0588525
"Barry Diller"	0.0587891
"George Mitchell"	0.058493
"Mark Green"	0.0582012
"Cyril Ramaphosa"	0.0580041
))
("Benjamin Mkapa" (desc 1814.83) (sims
"Pasteur Bizimungu"	0.448976
"Yoweri Museveni"	0.347135
"Joaquim Chissano"	0.325619
"Sam Nujoma"	0.249003
"Robert Mugabe"	0.245157
"Thabo Mbeki"	0.182166
"Olusegun Obasanjo"	0.161162
"Laurent Kabila"	0.156202
"Frederick Sumaye"	0.152944
"Fernando Henrique Cardoso"	0.146479
"Meles Zenawi"	0.145797
"Paul Kagame"	0.1383
"Ketumile Masire"	0.135735
"Ernesto Zedillo"	0.125503
"Martti Ahtisaari"	0.125127
"Franjo Tudjman"	0.123683
"Carlos Menem"	0.122857
"Mohammad Khatami"	0.121623
"Alexander Lukashenko"	0.121083
"Pierre Buyoya"	0.117691
"Joseph Estrada"	0.112771
"Suleyman Demirel"	0.108057
Moi	0.106153
"Alberto Fujimori"	0.102786
"Hosni Mubarak"	0.102718
"Wang Daohan"	0.100743
"Jamil Mahuad"	0.099433
"Mobutu Sese Seko"	0.0985987
"Paavo Lipponen"	0.0982322
"Jacques Chirac"	0.0979504
"I.K Gujral"	0.0978493
Bashir	0.0954591
"Andres Pastrana"	0.0940717
"Lamberto Dini"	0.0926953
"Vaclav Havel"	0.0920511
Bizimungu	0.0920482
"Vo Van Kiet"	0.0903025
"Ismail Cem"	0.0888495
"Ivan Kostov"	0.0868152
al-Bashir	0.085951
"Sartaj Aziz"	0.0822315
"Julius Nyerere"	0.0814849
"Abdullah Ahmad Badawi"	0.0814124
Museveni	0.0798055
Kagame	0.0797182
"Revolutionary Party"	0.0793929
Mkapa	0.077626
"Radu Vasile"	0.0776047
"Jerzy Buzek"	0.0774342
"Valery Pustovoitenko"	0.0763682
"Nelson Mandela"	0.0762746
"Klaus Kinkel"	0.075713
"Kim Dae Jung"	0.0754386
"Amr Moussa"	0.0751249
"Kamal Kharrazi"	0.0742615
"David Levy"	0.0741596
"Ung Huot"	0.0738013
"Girija Prasad Koirala"	0.0737043
"Salim Ahmed Salim"	0.0717881
"Hafez Assad"	0.0716882
"Prince Saud Al-Faisal"	0.0713291
"John Bruton"	0.071121
"Atef Obeid"	0.0696349
"Igor Ivanov"	0.0696259
"Igor Sergeyev"	0.0695013
"Koo Chen-fu"	0.0689993
Isaias	0.0681231
"Ricardo Alarcon"	0.067174
Luong	0.06671
"Wim Kok"	0.0653907
"Cyril Ramaphosa"	0.0647379
"Sali Berisha"	0.0645996
"Goran Persson"	0.0638188
"Inder Kumar Gujral"	0.0637816
Eduardo	0.0635439
"Abdurrahman Wahid"	0.0627532
"Phan Van Khai"	0.0623471
"P.V Narasimha Rao"	0.0617312
al-Khatib	0.0613214
"Deve Gowda"	0.0611471
"Antonio Guterres"	0.0604594
"Bertie Ahern"	0.0603435
"Joschka Fischer"	0.0599896
Nzo	0.0598917
Bouteflika	0.0591769
"Tang Jiaxuan"	0.0586989
"Yoshiro Mori"	0.0580833
"Necmettin Erbakan"	0.0577283
"Jaswant Singh"	0.0576328
"B.J Habibie"	0.0573893
"Jiang Zemin"	0.0570535
"Romano Prodi"	0.0565778
"Sepp Blatter"	0.0564099
"Joao Havelange"	0.056307
"Jean Chretien"	0.0562505
"vice- president"	0.0560859
"Harry S. Truman"	0.0558345
"Yitzhak Mordechai"	0.0552977
Kwasniewski	0.0552884
vice-president	0.0552766
"Tom Johnson"	0.0551352
Tella	0.0549487
"Frank Joklik"	0.0548111
"Atal Behari Vajpayee"	0.054598
"George Robertson"	0.0545165
"Wlodzimierz Cimoszewicz"	0.0545006
"Mikulas Dzurinda"	0.0544598
el-Ganzouri	0.054326
"Vaclav Klaus"	0.054313
"Goh Chok Tong"	0.0540197
"Orlando Mercado"	0.0540102
"Chea Sim"	0.0539762
"Bashkim Fino"	0.0536817
"Archbishop Desmond Tutu"	0.0533768
"Milorad Dodik"	0.0533761
"Momir Bulatovic"	0.0532613
"John Sweeney"	0.0531468
"Kenya African National Union"	0.0526899
"Abidine Ben Ali"	0.0526626
"Robin Cook"	0.0524462
"Yasser Abed Rabbo"	0.052099
"Rafik Hariri"	0.0518609
Frei	0.0516421
"Hugo Chavez"	0.0515286
"Mesut Yilmaz"	0.0512633
Nujoma	0.0511347
Lissouba	0.0510442
Niyazov	0.050994
Scalfaro	0.0508242
"Bulent Ecevit"	0.0506994
Stoyanov	0.0506298
"Lech Walesa"	0.0501264
"Jose Maria Aznar"	0.050045
"Alain Juppe"	0.0500191
"Tansu Ciller"	0.0497709
"Jenny Shipley"	0.0497433
"Juan Antonio Samaranch"	0.0491597
"Jack Valenti"	0.049136
Kavan	0.0489344
"Lokendra Bahadur Chand"	0.0489281
Karimov	0.0486553
Patasse	0.0482164
"Charles Taylor"	0.0480949
"Dave Checketts"	0.047801
"Oded Eran"	0.0476784
"Warren Christopher"	0.0475579
"Fatos Nano"	0.0471525
"Jacques Santer"	0.0470261
al-Hariri	0.0468041
"King Abdullah II"	0.0466655
Masire	0.0466645
"Costas Simitis"	0.0462069
Akayev	0.0461056
"Binyamin Netanyahu"	0.0460838
"Salim Hoss"	0.0460221
"Hubert Vedrine"	0.0455374
"Carmen Policy"	0.0454384
"Amnuay Virawan"	0.0450946
Chissano	0.0447656
"Tom Welch"	0.0446865
Kharrazi	0.0445364
"Southern Africa Development Community"	0.0441489
al-Sharaa	0.0440905
"Michael Portillo"	0.0435673
al-Shara	0.0433712
"Abdul Karim Kabariti"	0.0433443
"Strobe Talbott"	0.042472
Moscoso	0.0423885
"Biljana Plavsic"	0.0423722
"Lyndon B. Johnson"	0.0419705
"Chi Haotian"	0.0417977
"Krishna Prasad Bhattarai"	0.0417974
"Pascoal Mocumbi"	0.0417661
"Ricardo Lagos"	0.0411314
"H.D Deve Gowda"	0.0407301
"Jordanian King Hussein"	0.0405043
"Qian Qichen"	0.0403105
"Liu Shaoqi"	0.0402722
"Billy Payne"	0.0402706
))
("Benjamin Netanyahu" (desc 50962.6) (sims
Netanyahu	0.338652
"Binyamin Netanyahu"	0.294208
"Ehud Barak"	0.289784
Barak	0.248616
"Shimon Peres"	0.229477
Arafat	0.227412
"Tony Blair"	0.190286
"Ryutaro Hashimoto"	0.185943
"Nawaz Sharif"	0.179482
"Keizo Obuchi"	0.176258
"John Major"	0.172706
"Yevgeny Primakov"	0.171096
"Atal Bihari Vajpayee"	0.169721
al-Assad	0.16713
Mubarak	0.164905
Peres	0.163254
"Yasser Arafat"	0.160923
"Lionel Jospin"	0.159031
"Kofi Annan"	0.158479
"William Cohen"	0.157671
Moi	0.156328
"Hun Sen"	0.155766
"Bulent Ecevit"	0.153428
"Sergei Kiriyenko"	0.153361
"John Howard"	0.152364
"Chuan Leekpai"	0.15212
"Rafik Hariri"	0.150852
Chancellor	0.150584
Yeltsin	0.150003
Chirac	0.148819
"secretary of state"	0.146278
Vajpayee	0.143596
Primakov	0.141682
"Viktor Chernomyrdin"	0.141449
"Sheikh Hasina"	0.141402
"Romano Prodi"	0.140855
"President Kim Dae-jung"	0.140201
"Atal Behari Vajpayee"	0.139307
Annan	0.139113
Sharif	0.138745
"Benazir Bhutto"	0.138622
minister	0.138177
"Jean Chretien"	0.138137
"Jose Maria Aznar"	0.137868
"Mahathir Mohamad"	0.137638
Albright	0.137281
President	0.136654
"Costas Simitis"	0.135112
Blair	0.134793
"King Hussein"	0.13472
Chuan	0.134588
"Chavalit Yongchaiyudh"	0.134524
Schroeder	0.134448
"Inder Kumar Gujral"	0.13331
Jospin	0.133018
"Mesut Yilmaz"	0.131965
"Yitzhak Rabin"	0.131488
Mandela	0.131276
Mugabe	0.130802
"Yoshiro Mori"	0.129906
Obuchi	0.129264
leader	0.128018
"Necmettin Erbakan"	0.127929
Kohl	0.127541
Ecevit	0.127377
"Palestinian National Authority"	0.126599
"Deve Gowda"	0.126312
Clerides	0.125958
Premier	0.125816
Khatami	0.12577
Mahathir	0.125454
Clinton	0.124717
Hashimoto	0.124616
"foreign minister"	0.124413
Milosevic	0.124117
Denktash	0.124018
Putin	0.123791
"Meles Zenawi"	0.122789
al-Sharaa	0.122584
"Vladimir Putin"	0.122328
Mordechai	0.122123
Chernomyrdin	0.121339
Hariri	0.120872
Wahid	0.120369
Israel	0.120231
Weizman	0.119718
"Jordanian King Abdullah Bin Hussein"	0.119607
"Salim Hoss"	0.118466
Aziz	0.118178
Assad	0.117588
"Abdul Karim Kabariti"	0.117405
Habibie	0.117347
Palestinian	0.117017
"H.D Deve Gowda"	0.116786
"Boris Yeltsin"	0.11673
"Javier Solana"	0.115673
Kabila	0.11558
"Ariel Sharon"	0.114035
"Goh Chok Tong"	0.11253
"John Bruton"	0.111801
Yilmaz	0.111756
"Bertie Ahern"	0.111302
"finance minister"	0.111235
"Atef Obeid"	0.11074
"Jerzy Buzek"	0.110652
Erbakan	0.109487
"Alain Juppe"	0.109414
"David Levy"	0.109141
negotiator	0.108823
"Saeb Erekat"	0.108725
Kuchma	0.108621
"Sergei Stepashin"	0.108172
Demirel	0.107878
Chavalit	0.107748
"Jordanian King Hussein"	0.107598
"William Perry"	0.107468
government	0.10739
"Phan Van Khai"	0.106967
Hasina	0.106956
Fujimori	0.106773
Pastrana	0.106194
Mbeki	0.106163
"Arab League"	0.106051
Aznar	0.105914
envoy	0.105604
"Fatos Nano"	0.105566
Lott	0.105355
al-Bashir	0.105211
Simitis	0.105074
Mayor	0.104601
Israeli	0.10413
Prodi	0.104026
"Hosni Mubarak"	0.103839
"Frederick Sumaye"	0.103811
Sharon	0.103606
PNA	0.103406
"King Abdullah"	0.10333
"Minister Shlomo Ben-Ami"	0.103056
al-Shara	0.102815
"Sher Bahadur Deuba"	0.102583
"Lamberto Dini"	0.102347
Abubakar	0.102244
Rafsanjani	0.10193
D'Alema	0.101664
"Bashkim Fino"	0.101495
Governor	0.10138
"George W. Bush"	0.10131
"Yitzhak Mordechai"	0.101139
Chretien	0.100826
Rugova	0.100718
"Tariq Aziz"	0.100708
Speaker	0.100675
"head of state"	0.100544
Khamenei	0.100385
Lukashenko	0.0999197
"Jenny Shipley"	0.099494
Holbrooke	0.0994777
secretary	0.0993893
lawmaker	0.0985512
el-Ganzouri	0.0983235
Syria	0.09823
"Vladimir Meciar"	0.0982092
Moussa	0.0981806
Dehaene	0.0979774
Jiang	0.0977758
president-elect	0.0976921
Majali	0.0976276
"King Norodom Sihanouk"	0.0974765
Pataki	0.0974026
Kiriyenko	0.0973291
"Ivan Kostov"	0.0973017
Bush	0.0972883
"Khaleda Zia"	0.0972789
"Janet Reno"	0.0972431
"George Pataki"	0.0972284
Zedillo	0.0971833
Chiluba	0.096998
Rua	0.0969123
Zhu	0.0968453
"Li Peng"	0.0967405
"cabinet minister"	0.0965157
Ciller	0.0964323
"Amr Moussa"	0.0962161
"Pandeli Majko"	0.0959815
Ranariddh	0.0959733
"deputy foreign minister"	0.0959688
Ambassador	0.0959149
"Jiang Zemin"	0.0956818
"vice president"	0.0953985
Gaddafi	0.0950806
"Bill Richardson"	0.0948539
Cohen	0.0948238
Meles	0.0944636
Museveni	0.0944157
Giuliani	0.0937415
"Tansu Ciller"	0.0937021
Estrada	0.0936672
"Paul Keating"	0.0933301
Menem	0.0933188
"President Hafez Al-Assad"	0.0931558
))
("Benji Gil" (desc 1872.18) (sims
"Russ Johnson"	0.257011
"Damian Jackson"	0.244508
"Kevin Stocker"	0.235004
"Mark Loretta"	0.224202
"Adam Kennedy"	0.219535
"Jose Valentin"	0.212579
"Kurt Abbott"	0.208738
"Andy Sheets"	0.204866
"Matt Walbeck"	0.201255
"Mike Benjamin"	0.197001
"Andy Fox"	0.195481
"Cristian Guzman"	0.19522
"Chris Gomez"	0.19323
"Miguel Cairo"	0.193122
"Enrique Wilson"	0.185395
"Luis Castillo"	0.185194
"Pat Meares"	0.184482
"Deivi Cruz"	0.183774
"Tim Salmon"	0.18297
"Warren Morris"	0.181386
Vidro	0.18023
"Bengie Molina"	0.180096
"Darin Erstad"	0.179706
"Luis Lopez"	0.178349
"Scott Spiezio"	0.178248
"Marvin Benard"	0.175518
"Jeff Huson"	0.175016
"Mickey Morandini"	0.174162
"Joe McEwing"	0.173793
"Troy Glaus"	0.171962
"Neifi Perez"	0.170402
"Randy Velarde"	0.169993
"Craig Paquette"	0.168757
"Luis Sojo"	0.166844
Renteria	0.166263
"Ricky Gutierrez"	0.164316
"Eric Owens"	0.162672
"Mark Kotsay"	0.161978
"Melvin Mora"	0.161558
Glaus	0.160594
"Gary DiSarcina"	0.159296
"Miguel Tejada"	0.158958
"Tim Bogar"	0.157333
"Rich Aurilia"	0.155757
"Jose Hernandez"	0.155729
"Mike Caruso"	0.155503
"Ron Coomer"	0.154961
"Damian Miller"	0.154231
"Phil Nevin"	0.153635
"Tony Womack"	0.152934
"Fernando Vina"	0.152645
"Lenny Harris"	0.15252
"Mark Grudzielanek"	0.151665
"Luis Alicea"	0.150359
Abreu	0.149925
"Tony Batista"	0.149902
"Manny Alexander"	0.149491
"Rey Sanchez"	0.148203
"Desi Relaford"	0.147985
"Dave Hollins"	0.147971
"Matt Franco"	0.147555
Lankford	0.146577
"Carlos Guillen"	0.146452
"Keith Lockhart"	0.14631
"Ray Durham"	0.145784
"Tony Fernandez"	0.145117
Rolen	0.144247
Aurilia	0.144111
"Craig Counsell"	0.142872
"John Vander Wal"	0.142562
"David Bell"	0.141891
"Jay Bell"	0.141806
"Ozzie Guillen"	0.141642
"Joe Randa"	0.14108
"Juan Castro"	0.140808
"Dave Hansen"	0.137687
"Edgar Renteria"	0.137653
"Kevin Jordan"	0.13741
"David Ortiz"	0.137386
"Herbert Perry"	0.137385
"Alex Gonzalez"	0.137231
"Charlie Hayes"	0.13666
"Alex Cora"	0.136507
"Bobby Abreu"	0.136451
"Jose Vizcaino"	0.135955
"Gregg Zaun"	0.135636
"Royce Clayton"	0.13386
"Einar Diaz"	0.133676
"Walt Weiss"	0.133509
"Chris Widger"	0.132697
"Jeff Conine"	0.132111
"Joey Cora"	0.130163
"Jeff Cirillo"	0.130099
"Aaron Boone"	0.129708
"Brian Hunter"	0.129305
"Lou Merloni"	0.129258
"Pokey Reese"	0.129132
"Frank Catalanotto"	0.128965
"Carlos Beltran"	0.128771
"Kevin Elster"	0.128649
"Jim Edmonds"	0.128493
"Scott Rolen"	0.128252
"Kelly Stinnett"	0.127552
"Bill Mueller"	0.127206
"Matt Stairs"	0.126912
Giambi	0.125554
"Donnie Sadler"	0.124968
"Eric Young"	0.124932
"Garret Anderson"	0.124698
"Todd Walker"	0.124683
"Jay Payton"	0.124652
"Terrence Long"	0.124317
"Omar Vizquel"	0.123944
"Jose Offerman"	0.123844
"Ron Gant"	0.123656
Hatteberg	0.12284
"Damion Easley"	0.1226
"Travis Lee"	0.12223
"Bill Spiers"	0.121653
Fullmer	0.12136
"Clay Bellinger"	0.121118
"Paul Konerko"	0.120927
"Shawon Dunston"	0.120831
Bordick	0.120352
Mabry	0.119864
"Todd Pratt"	0.119474
"Vladimir Guerrero"	0.1192
"Quilvio Veras"	0.119183
"Bruce Aven"	0.119062
Erstad	0.119046
"Mike Cameron"	0.118146
Fryman	0.117994
"Rafael Furcal"	0.117011
"Mike Bordick"	0.116911
"Mike Lowell"	0.116513
"Richie Sexson"	0.116502
"Pat Burrell"	0.116434
"Corey Koskie"	0.116386
"Barry Larkin"	0.116202
"Darren Lewis"	0.115658
"Benny Agbayani"	0.115581
Burnitz	0.115459
DiSarcina	0.114933
"Kevin Orie"	0.114778
"Tony Eusebio"	0.11475
"Edgardo Alfonzo"	0.114688
"F.P Santangelo"	0.114493
"Mike Lansing"	0.114195
"Mike Lieberthal"	0.114091
"Shane Andrews"	0.114086
"Jose Vidro"	0.113798
"Ruben Rivera"	0.113708
"Kevin Young"	0.113691
Batista	0.113665
DeShields	0.113462
"Geoff Jenkins"	0.113101
Velarde	0.112679
"Jose Guillen"	0.112465
"Russ Davis"	0.111734
"Jeff Kent"	0.111636
"Eric Karros"	0.111516
"Tony Phillips"	0.111482
"Lance Berkman"	0.111425
"Johnny Damon"	0.111335
"Eddie Taubensee"	0.111274
"Ray Lankford"	0.111222
"Rey Ordonez"	0.111207
Nevin	0.111181
"Tony Graffanino"	0.11105
"Chuck Knoblauch"	0.11056
"Jeffrey Hammonds"	0.109303
Cirillo	0.10905
"Jim Thome"	0.108981
Alicea	0.108915
"Matt Lawton"	0.108841
"John Mabry"	0.108783
"Travis Fryman"	0.108483
"Danny Bautista"	0.108439
"Brady Anderson"	0.10824
"Mark Grace"	0.107898
"Chad Curtis"	0.107805
"Sean Berry"	0.10778
"Dean Palmer"	0.107435
"Mike Lamb"	0.107038
"Shawn Green"	0.106862
"Doug Glanville"	0.106356
"Marty Cordova"	0.106246
Dunston	0.105887
"Todd Greene"	0.105846
"Mike Sweeney"	0.105818
Ordonez	0.104109
"Dave Martinez"	0.103805
"Eric Chavez"	0.102484
Tejada	0.102474
"Jeff Frye"	0.102235
"Delino DeShields"	0.102129
"Wally Joyner"	0.102078
Klesko	0.102016
"Raul Ibanez"	0.10184
McGriff	0.101735
"Mark McLemore"	0.101726
Alfonzo	0.101428
"Erubiel Durazo"	0.101365
Karros	0.101261
"Lance Johnson"	0.10098
"Homer Bush"	0.100865
"Carlos Febles"	0.100481
"Ryan Klesko"	0.100327
"Richard Hidalgo"	0.100277
"Jeremy Giambi"	0.100073
))
(Bennett (desc 17255.7) (sims
McConnell	0.103116
Olson	0.0980812
Robinson	0.0975767
Thompson	0.0974832
smith	0.0957934
Lott	0.0945475
Johnson	0.0926472
Taylor	0.0906782
Jones	0.0898868
Ritter	0.0888488
Kendall	0.087206
Stayner	0.0871991
Wilson	0.0869606
Nelson	0.0853279
Foley	0.0850601
Haney	0.0849787
Carroll	0.0848197
Edwards	0.0842787
Kyl	0.0833663
Welch	0.0826688
Greene	0.0826421
Jacobs	0.0822968
Murray	0.0819974
Hyde	0.0815406
Bakaly	0.0814789
Shayler	0.0813219
Elliott	0.0812984
McCurry	0.0811565
collins	0.0811396
Fagan	0.0807556
Lieberman	0.0805656
Snyder	0.0805382
Davis	0.0804136
Mitchell	0.0802892
Lockhart	0.080056
Jackson	0.0797649
Wright	0.0797115
Richardson	0.0797097
Anderson	0.0796556
Cohen	0.0795212
Skakel	0.0794937
Babbitt	0.0794649
Riley	0.0789522
Williams	0.0785133
Roberts	0.078453
Gorton	0.0784343
Schwartz	0.0783276
Harris	0.078255
Hoffman	0.0779847
Cheney	0.0778835
McCaffrey	0.0777818
Gramm	0.0777396
Barnes	0.0776448
bailey	0.0775303
Pirro	0.0771763
Brownback	0.0771733
Armstrong	0.0770776
Advani	0.0769661
hale	0.0769163
Sheppard	0.0768269
Garcia	0.0764692
Ghani	0.0764519
Levin	0.0762983
Kelly	0.076117
Gauthe	0.0760051
Graham	0.0758885
Ramsey	0.0758071
Capano	0.0757474
Blumenthal	0.0756627
Stewart	0.0755448
Tripp	0.0751719
Goldstein	0.0748792
Craig	0.0747322
Carter	0.074689
Sharif	0.0746867
Nikitin	0.0744149
Miller	0.0743405
Robertson	0.0742493
Rogers	0.074151
Friedman	0.0740718
Stevens	0.0740677
Martorano	0.0739044
Richards	0.0738235
Gotti	0.0736635
Watson	0.0736627
Sheinbein	0.0735872
McCann	0.0735569
Lee	0.0733764
Jenkins	0.0733209
Thomas	0.0732747
Cunningham	0.0731559
Johnston	0.0731219
Payne	0.0731043
Berger	0.0730501
Walsh	0.0730446
Jennings	0.0729445
Perez	0.0729181
Mcbride	0.0728764
Lindsey	0.0728364
Lopez	0.0725655
fisher	0.0724989
Reid	0.0724407
Reeves	0.0724048
Wang	0.0723899
Palmer	0.0723875
Hess	0.072307
McDougal	0.0721644
Chung	0.0721539
murphy	0.0721384
Helms	0.072029
Ellis	0.0720092
Morris	0.0720026
Shaw	0.0719582
Donahue	0.0719562
Clark	0.0718979
Morrison	0.0717462
Lewis	0.0716775
Hofer	0.0716145
Tyson	0.0715812
Ruff	0.0715238
Samaranch	0.0715143
Mandela	0.0715041
Sanders	0.0714861
Kim	0.0713654
Warner	0.0713169
Marino	0.0712708
Holmes	0.0712546
Parker	0.071218
Danforth	0.071143
Henderson	0.0710817
Cho	0.0710334
Kline	0.0709779
Peterson	0.0709766
Hiett	0.0708688
Moynihan	0.0708303
Gravano	0.0708242
Abernathy	0.0708091
Brister	0.0707679
Camacho	0.0707666
Burton	0.0707171
Ashcroft	0.0705845
Moreno	0.0705402
Connolly	0.0704324
Volpe	0.0702267
Rivera	0.0702255
Karbaschi	0.0701918
Starr	0.0700695
D'Amato	0.0699346
Coverdell	0.0698938
Belichick	0.0698779
Neulander	0.069856
Dodd	0.0698152
Fitzgerald	0.0697816
Barrett	0.0695765
Sullivan	0.0695508
Adams	0.069517
Crawford	0.0694264
Malone	0.0693763
Liu	0.0693129
Robison	0.0692907
Kerry	0.0692811
Lazarenko	0.0692091
Powell	0.0690778
Ramirez	0.0690572
Burns	0.0690264
Goldberg	0.0689648
Gomez	0.0689558
Huang	0.0689376
Tsang	0.0687517
Ross	0.0686831
Hutchinson	0.0686525
Chang	0.068634
Hamilton	0.0686193
Cisneros	0.0685835
Glenn	0.0685493
Huard	0.0683846
Gingrich	0.0682951
Brown	0.0681578
hatch	0.0681456
Coleman	0.0680562
Reynolds	0.06802
McVeigh	0.0679636
Aikman	0.0678593
Moore	0.0678282
DOLE	0.0677612
Symington	0.0677134
Bowden	0.0676909
Simpson	0.0676422
Baker	0.0676315
Breuer	0.0675183
Tate	0.0675163
Steele	0.067482
Swango	0.0672314
Pitino	0.0672067
Freeman	0.0671997
Jeffords	0.0671083
Livingston	0.0670991
Rubin	0.0670799
Kennedy	0.0670754
Keating	0.0670406
))
(Benny (desc 2896.21) (sims
Valenti	0.0755991
Bibi	0.0705783
Heinrichs	0.0686692
Baird	0.0685456
Groh	0.0654289
Kesri	0.0647896
Schell	0.0629861
Poole	0.0628304
Kasoulides	0.0627001
Amos	0.0616657
Neil	0.0611869
Ruehe	0.060748
Frye	0.0605703
Singson	0.0599769
Manny	0.0584251
Manuel	0.0578834
Gardiner	0.057465
Waite	0.0561847
Fernandes	0.0561698
Ota	0.0561508
Russ	0.0561046
Shatner	0.0556859
Lew	0.0552429
Jill	0.0552278
Akbar	0.0551323
Evan	0.054793
Severino	0.0547852
Carrera	0.0546663
Rais	0.054638
Aventajado	0.0543366
Kyprianou	0.0543048
Jayakumar	0.0542269
Laudrup	0.0536759
Markovic	0.0535539
Siazon	0.0528336
Moratinos	0.0528084
Rodionov	0.0523954
Vernon	0.0523261
Vince	0.0521602
Remnick	0.0519878
Najera	0.0519858
Szabo	0.0518914
Ciampi	0.0513799
Arizmendi	0.0512035
Andy	0.0510972
Iglesias	0.0510357
Harvey	0.0509212
Girard	0.050851
Ed	0.0506951
guo	0.0504242
Joel	0.0503689
Fassett	0.0503292
Kaye	0.050217
Cem	0.0501126
Havelange	0.0499874
Eizenstat	0.0499776
Murrell	0.0499466
Tait	0.0498304
Myhrvold	0.0497782
ISSEL	0.0496662
Arum	0.0494547
Basso	0.0492604
Posner	0.0491176
Hightower	0.0490879
Roger	0.048856
Recker	0.048746
Zimmer	0.0483061
Phillip	0.0482325
Adkins	0.048009
Walter	0.0479144
Hamid	0.0476069
O'Sullivan	0.0475187
Potvin	0.0474663
SU-@@	0.0473879
LIMEY	0.047262
Schaeuble	0.0472173
"U.S. Defense Department"	0.0471732
Nasrallah	0.047112
"de Charette"	0.0470899
Surin	0.0469999
Bambang	0.04698
Mario	0.0469654
Hrawi	0.0469188
Davey	0.0468311
Gullit	0.0467869
Mohr	0.046755
Ronald	0.0467007
Talebi	0.0466431
Nzo	0.0465097
Bao	0.0462505
Loren	0.0461743
"Dan Glickman"	0.0461607
"Dale Jr."	0.0460384
Hatfield	0.0460331
Tran	0.0458979
Alatas	0.0457893
Neilson	0.0456693
Meredith	0.0456612
Reimer	0.045588
Boueiz	0.0455505
Speer	0.0455113
Theo	0.0453526
Wolfson	0.0453436
"Maturino Resendiz"	0.0452964
Finkel	0.045174
Thapa	0.0451588
Jovanovic	0.045048
Kouchner	0.0450183
Belichick	0.0449951
Alarcon	0.0449536
Coffey	0.0449476
Nicklaus	0.0449186
Arkin	0.0448531
Stacy	0.0448248
Scharping	0.0448163
Barry	0.0446066
Jim	0.0445394
Neulander	0.0445238
Gauthier	0.0444937
Rifkind	0.0444804
Komura	0.0444638
"Amos Wako"	0.0444153
Andres	0.0443626
Patten	0.0442478
Eubanks	0.0442219
Roy	0.0442095
Modise	0.0441216
Jeff	0.0441069
Phelan	0.0441057
McCurry	0.0440434
Gabriel	0.0440335
Laurie	0.0439368
Saleh	0.0439108
"hotel manager"	0.043885
Jerry	0.043857
McGuinness	0.0437941
Zarb	0.0437453
Ikimi	0.0436999
Levitt	0.0436996
Nunn	0.0436487
Bonner	0.0436417
Aoki	0.0436133
Ashrawi	0.0435934
Bernard	0.0435299
Mokhehle	0.0435209
parachutist	0.0435038
Jeffers	0.0434824
Guan	0.0433067
Ashley	0.0432935
Steve	0.0432568
Antonio	0.0431808
Tevanian	0.043083
Guterres	0.0430162
Reinhardt	0.0429539
Robert	0.0429498
Rudman	0.0429486
Salinger	0.0429238
Mendez	0.0429085
Larry	0.0428797
Kerasiotes	0.0428622
Kwasniewski	0.0428451
Rawabdeh	0.0428409
Clements	0.0428254
Danny	0.0427801
"aerospace engineer"	0.0427732
"Red Violin"	0.0426192
Hamdoon	0.0425487
"George Robertson"	0.0424913
Abdur-Rahim	0.0424265
Demaci	0.0423877
Hartman	0.0423752
Rylander	0.0422569
"Orlando Mercado"	0.0422349
Shahak	0.0421921
Eran	0.0421847
Gerald	0.0421715
Allan	0.0421295
Fieger	0.0421036
Horner	0.0420069
Fleury	0.0419865
Goff	0.041963
Ely	0.0418935
Cepeda	0.0418846
Ebersol	0.0418561
Juan	0.0418507
Constantinescu	0.0418344
Ervin	0.0418282
DeFrantz	0.0417929
Pearce	0.0417813
McKeon	0.0417147
Rhonda	0.0417013
McKinney	0.0416844
Arthur	0.0416541
Hartley	0.0416229
Tuttle	0.0415164
Silas	0.0414992
Tsang	0.0414952
Winnie	0.0414565
Mariucci	0.041447
Luzhkov	0.0414462
))
("Benny Agbayani" (desc 3537.24) (sims
"Melvin Mora"	0.297399
"Edgardo Alfonzo"	0.28314
"Jay Payton"	0.28179
"Bruce Aven"	0.272357
"Marvin Benard"	0.271702
"Matt Franco"	0.268553
"Eric Owens"	0.260406
"Todd Pratt"	0.252763
"John Vander Wal"	0.248015
"Carlos Lee"	0.247157
"Robin Ventura"	0.234461
Alfonzo	0.233545
"John Olerud"	0.233276
Vidro	0.228158
"Derrek Lee"	0.222762
Rolen	0.220004
"Russ Johnson"	0.21949
"Rich Becker"	0.218853
"Henry Rodriguez"	0.218611
Agbayani	0.217483
"Terrence Long"	0.217354
"Ray Lankford"	0.214393
"Bobby Abreu"	0.213389
"Warren Morris"	0.212282
"Matt Lawton"	0.21206
"Rondell White"	0.211902
"Lenny Harris"	0.210928
"Mark Kotsay"	0.210879
"Jeff Conine"	0.210735
"Darryl Hamilton"	0.209677
"Roger Cedeno"	0.206522
"Scott Spiezio"	0.206453
"Kurt Abbott"	0.205288
Lankford	0.204819
"Bill Spiers"	0.204319
"Quinton McCracken"	0.20353
"Mickey Morandini"	0.203433
"Geoff Jenkins"	0.203392
Fullmer	0.202849
"Rickey Henderson"	0.202499
"Dmitri Young"	0.202237
"Daryle Ward"	0.202151
"Jose Guillen"	0.200595
"Raul Ibanez"	0.20042
"Damian Jackson"	0.19956
"Eric Chavez"	0.19928
"Dave Martinez"	0.198669
"Kelly Stinnett"	0.198608
"Deivi Cruz"	0.198593
"Richard Hidalgo"	0.198038
"Derek Bell"	0.197987
"Bobby Higginson"	0.197681
"Preston Wilson"	0.196823
grieve	0.196551
"Matt Luke"	0.196533
"Richie Sexson"	0.194134
"Todd Zeile"	0.193816
"Luis Polonia"	0.193811
"Troy Glaus"	0.193064
"Jeromy Burnitz"	0.192077
"Lance Berkman"	0.191717
"Bubba Trammell"	0.191657
Aurilia	0.191323
"Johnny Damon"	0.191082
"Ruben Rivera"	0.190941
"Tim Salmon"	0.190077
"Gerald Williams"	0.190021
"Paul Konerko"	0.189815
"Bobby Bonilla"	0.189665
"Eddie Taubensee"	0.189598
"Damian Miller"	0.189319
"Mark Loretta"	0.185698
"Tony Eusebio"	0.185643
"Karim Garcia"	0.185018
"Stan Javier"	0.184537
"David Dellucci"	0.183395
"Paul Bako"	0.18336
"Jose Hernandez"	0.183228
Abreu	0.182826
"David Ortiz"	0.182283
"Jeffrey Hammonds"	0.182077
"Dave Hansen"	0.181695
"Rey Ordonez"	0.181167
Burnitz	0.180993
"Pat Meares"	0.180324
Tatis	0.179848
"Glenallen Hill"	0.179382
"Brian McRae"	0.178586
"Cliff Floyd"	0.17836
"Butch Huskey"	0.178308
"Dante Bichette"	0.177141
"Rich Aurilia"	0.17694
"Adam Kennedy"	0.17654
Sexson	0.176039
Olerud	0.175748
"Travis Lee"	0.175687
"Ricky Gutierrez"	0.175648
"Brady Anderson"	0.175589
"B.J Surhoff"	0.175409
"Luis Lopez"	0.175293
"Corey Koskie"	0.175027
"Marty Cordova"	0.174914
"Keith Lockhart"	0.174085
"Kenny Lofton"	0.173259
"Jose Valentin"	0.173245
"Ricky Ledee"	0.173174
"Erubiel Durazo"	0.172235
"Jon Nunnally"	0.172218
Ordonez	0.172183
"Vladimir Guerrero"	0.172032
Glanville	0.171988
"Marquis Grissom"	0.171923
"Ron Coomer"	0.171605
"Chad Curtis"	0.171477
"Jeff Kent"	0.171468
"Neifi Perez"	0.171365
"Brian Hunter"	0.171251
"Craig Biggio"	0.171244
"Pat Burrell"	0.17088
"Craig Counsell"	0.170009
"Brant Brown"	0.169909
"Mike Lamb"	0.169856
"Carlos Beltran"	0.169192
"Phil Nevin"	0.169036
"Bernard Gilkey"	0.168734
Higginson	0.168261
"Matt Stairs"	0.168119
"Trot Nixon"	0.167915
"Sean Casey"	0.16751
"Damon Buford"	0.167089
Glaus	0.166576
"Ron Gant"	0.166402
"Garret Anderson"	0.166393
"Orlando Palmeiro"	0.16626
Bordick	0.16621
"Todd Walker"	0.16503
"Trenidad Hubbard"	0.164717
"Jeff Bagwell"	0.163544
"Rob Ducey"	0.163179
"F.P Santangelo"	0.162653
"David Bell"	0.162623
"Michael Tucker"	0.162244
Bautista	0.16203
"Andy Fox"	0.161942
"Kevin Jordan"	0.161227
"Alex Gonzalez"	0.161027
Klesko	0.161005
"Jermaine Dye"	0.160819
"Todd Helton"	0.159867
"John Mabry"	0.159598
"Miguel Tejada"	0.159456
"Ellis Burks"	0.158903
Karros	0.158523
"Brian Daubach"	0.158399
"Raul Mondesi"	0.158394
"Manny Alexander"	0.15824
"Jason Kendall"	0.15817
"Chris Widger"	0.157895
Spiers	0.157464
"Matt Mieske"	0.157253
"Charlie Hayes"	0.157213
"Bill Mueller"	0.156906
"Doug Glanville"	0.156779
"Adrian Beltre"	0.156726
"Jeff Cirillo"	0.156181
"Wil Cordero"	0.156165
"Danny Bautista"	0.155863
"Jason Giambi"	0.155561
"Shawn Green"	0.154922
"Ben Grieve"	0.154595
"Eric Karros"	0.153826
Cirillo	0.152728
Bagwell	0.152695
"Mike Cameron"	0.152528
"Jeremy Giambi"	0.152479
"Gary Sheffield"	0.151706
"Shawon Dunston"	0.151702
"Scott Rolen"	0.151607
"Luis Gonzalez"	0.151496
"Todd Hollandsworth"	0.151355
"Mike Bordick"	0.151225
"Tom Goodwin"	0.151087
"Brian Giles"	0.151016
"Ryan Klesko"	0.150993
"Magglio Ordonez"	0.150878
"J.D Drew"	0.150494
"Luis Alicea"	0.150462
Kapler	0.15041
"J.T Snow"	0.150056
"Fred McGriff"	0.149703
Erstad	0.149082
Giambi	0.149042
"Shannon Stewart"	0.149036
"Tony Batista"	0.148996
"Jim Thome"	0.148901
"Kevin Young"	0.148229
"Todd Greene"	0.148174
"Moises Alou"	0.148078
"Dean Palmer"	0.147364
"Carl Everett"	0.147067
"Ozzie Guillen"	0.146771
Lieberthal	0.146702
"Tony Womack"	0.146568
"Brad Fullmer"	0.14653
"Joe Randa"	0.146498
"Andruw Jones"	0.145562
"Brian Jordan"	0.145473
"Mike Lieberthal"	0.145454
"Harold Baines"	0.145383
"Mike Lowell"	0.145251
"Tom Lampkin"	0.144387
Zeile	0.144289
"Charles Johnson"	0.143946
"Fernando Tatis"	0.143901
"Tino Martinez"	0.143582
"Shane Spencer"	0.143508
"Mike Piazza"	0.143409
"Will Clark"	0.143229
"Damion Easley"	0.141904
"Reggie Sanders"	0.141892
"Darren Lewis"	0.141774
"Travis Fryman"	0.141642
"Rafael Palmeiro"	0.140626
"Kevin Elster"	0.140592
"Steve Finley"	0.140496
"Rusty Greer"	0.140205
Tejada	0.140072
"Midre Cummings"	0.139912
"Chipper Jones"	0.139725
"Todd Hundley"	0.139584
"Darin Erstad"	0.139191
"Herbert Perry"	0.138988
"Mark McLemore"	0.138655
"John Jaha"	0.138486
"Scott Hatteberg"	0.138041
Piazza	0.137963
"Tim Bogar"	0.137816
"Jose Cruz Jr."	0.137525
"Edgar Martinez"	0.137366
"Mike Sweeney"	0.137243
"GERONIMO BERROA"	0.136567
"Bengie Molina"	0.136557
"Tony Clark"	0.136387
"Russ Davis"	0.136374
"Gregg Jefferies"	0.135901
"Darren Bragg"	0.135486
"Jose Vidro"	0.135437
"Mark Grudzielanek"	0.134997
"Joe McEwing"	0.134672
"Devon White"	0.134459
Catalanotto	0.134151
"Enrique Wilson"	0.133847
Alomar	0.133723
Veras	0.133648
"Jose Offerman"	0.133614
Brogna	0.133552
"Juan Encarnacion"	0.133399
"Ray Durham"	0.133284
"Troy O'Leary"	0.133175
"Jay Bell"	0.132969
"Carlos Baerga"	0.132761
"Tony Graffanino"	0.132229
"Mark Johnson"	0.132154
"Brook Fordyce"	0.132106
"Rafael Furcal"	0.132096
"Javy Lopez"	0.131924
Thome	0.131814
"Kevin Stocker"	0.131528
"Chris Gomez"	0.131174
Renteria	0.130716
"Jim Leyritz"	0.130219
"Barry Bonds"	0.130143
Beltran	0.129846
Ledee	0.129605
Bichette	0.129565
"Rico Brogna"	0.129549
"Jason Varitek"	0.129369
"Manny Ramirez"	0.129183
"Jorge Posada"	0.129
"Greg Vaughn"	0.128882
"Royce Clayton"	0.128722
Hatteberg	0.128695
"Barry Larkin"	0.128307
"Einar Diaz"	0.128185
"Brent Mayne"	0.128185
"Ken Caminiti"	0.127655
Lofton	0.127643
Batista	0.127268
"Desi Relaford"	0.127248
"Scott Brosius"	0.127082
"Gabe Kapler"	0.12681
Varitek	0.126608
Hidalgo	0.126525
"Miguel Cairo"	0.126458
Delgado	0.126438
"Mike Lansing"	0.1264
"Mitch Meluskey"	0.125677
"Wilton Guerrero"	0.125596
Biggio	0.125497
"Jason McDonald"	0.125457
Palmeiro	0.125391
Merloni	0.124997
Dunston	0.124626
Lawton	0.124565
"Tony Phillips"	0.124409
"Wally Joyner"	0.124142
"Mike Stanley"	0.123963
"Jim Edmonds"	0.123522
"Gregg Zaun"	0.123273
Valentin	0.122776
"Rey Sanchez"	0.122764
Mora	0.122442
"Matt Walbeck"	0.122382
"David Segui"	0.122163
"Peter Bergeron"	0.122126
"Sandy Alomar"	0.122016
"Dan Wilson"	0.121944
"Jose Canseco"	0.121806
Fryman	0.121686
"Eric Young"	0.121558
Velarde	0.121446
Eusebio	0.121343
"Al Martin"	0.121338
"Bernie Williams"	0.121321
Konerko	0.121011
Stinnett	0.120783
Nevin	0.120756
"Octavio Dotel"	0.120594
"Jay Buhner"	0.120413
"Roberto Kelly"	0.120218
"John Valentin"	0.119895
"Frank Thomas"	0.119828
"Mike Simms"	0.119653
"Roberto Alomar"	0.119548
"Chili Davis"	0.118639
"Fernando Vina"	0.118513
"Reggie Jefferson"	0.118363
"Greg Colbrunn"	0.11823
Garciaparra	0.118173
Alicea	0.117908
Knoblauch	0.117819
"Alex Rodriguez"	0.117655
"Tony Fernandez"	0.117361
"Tim Raines"	0.117323
Elster	0.11718
Javier	0.116906
"CARLOS HERNANDEZ"	0.116878
"Jorge Fabregas"	0.116644
"Carlos Delgado"	0.116602
"Luis Castillo"	0.116479
Castilla	0.116272
"Lance Johnson"	0.116108
"Edgar Renteria"	0.11576
"Benji Gil"	0.115581
Mabry	0.115385
"Pokey Reese"	0.115157
"Mark Grace"	0.114942
"Darrin Fletcher"	0.114927
Saenz	0.114349
Bergeron	0.113797
"Albert Belle"	0.113674
Randa	0.113517
"Tyler Houston"	0.113262
"Ed Sprague"	0.112967
Hollins	0.112885
"Craig Paquette"	0.112564
"Omar Vizquel"	0.112486
"Brad Ausmus"	0.112344
Vizquel	0.111866
Buhner	0.111794
"Paul O'Neill"	0.111281
"Jeff Frye"	0.110938
"Nomar Garciaparra"	0.110672
"Cristian Guzman"	0.110353
McGriff	0.110052
Meares	0.110009
"Jeff Huson"	0.109896
Cordero	0.109402
Daubach	0.108816
"Greg Myers"	0.108667
"Aaron Boone"	0.108106
"Quilvio Veras"	0.107533
Alou	0.10751
"Matt Williams"	0.107228
Hundley	0.107077
Helton	0.105778
"Bobby Estalella"	0.105583
Guerrero	0.105216
Beltre	0.105044
"Sean Berry"	0.105029
"Jose Vizcaino"	0.104963
"Dave Hollins"	0.104831
Womack	0.10472
Cabrera	0.104667
"Lee Stevens"	0.104365
Gant	0.104294
"Joe Carter"	0.104147
"Shane Andrews"	0.104073
"Frank Catalanotto"	0.103772
Vaughn	0.103707
Guillen	0.103664
Huskey	0.103166
"Otis Nixon"	0.103077
Bragg	0.103076
Hollandsworth	0.103075
"Bret Boone"	0.102769
Boone	0.102758
"Armando Benitez"	0.102585
Vizcaino	0.102045
"Derek Jeter"	0.10186
Frye	0.101522
"Willie Greene"	0.101434
"Eric Davis"	0.101426
McLemore	0.101218
"Chuck Knoblauch"	0.101146
Sojo	0.101141
Surhoff	0.101073
"Donnie Sadler"	0.10079
Sheffield	0.100684
DiSarcina	0.100442
Mondesi	0.100377
Burks	0.100031
))
("Benny Goodman" (desc 1744.52) (sims
"Count Basie"	0.204223
"Duke Ellington"	0.198017
"Dizzy Gillespie"	0.139268
"Billie Holiday"	0.12543
"Louis Armstrong"	0.114486
"Miles Davis"	0.112036
"Charlie Parker"	0.110575
Ellington	0.106908
"Ella Fitzgerald"	0.106559
"Bing Crosby"	0.104498
"Tony Bennett"	0.10126
"John Coltrane"	0.100095
"Bob Marley"	0.0760953
"Hank Williams"	0.0739265
"Gene Kelly"	0.0722708
"Wynton Marsalis"	0.0722516
Setzer	0.0707646
Messiaen	0.0652501
"George Gershwin"	0.0636604
"Judy Garland"	0.0620561
"Rolling Stones"	0.060508
"Spice Girls"	0.0602629
"Jimmy Buffett"	0.0598342
Zydeco	0.0596013
mariachi	0.0595764
Springsteen	0.0588845
klezmer	0.0569959
Phish	0.0566258
"Elvis Presley"	0.0566212
"Jimi Hendrix"	0.0564944
"big band"	0.0560996
"Barbra Streisand"	0.0533544
"Marilyn Manson"	0.0533474
Gershwin	0.0527961
Vivaldi	0.0522883
"Frank Sinatra"	0.0522298
Reggae	0.0515613
"James Brown"	0.051545
"Andrew Lloyd Webber"	0.0490475
mambo	0.0486252
"Fred Astaire"	0.048582
Debussy	0.0473255
"Willie Nelson"	0.0473097
"Nat King Cole"	0.0467956
"Aaron Copland"	0.0467102
"Boston Pops"	0.0465826
"Aretha Franklin"	0.0465681
"Bruce Springsteen"	0.0464523
"City Ballet"	0.0462856
harpsichord	0.0462007
"Pink Floyd"	0.0461084
Stravinsky	0.0457848
Metallica	0.0456381
bluegrass	0.0454045
"Bob Hope"	0.0453696
Manson	0.0447836
"Bob Dylan"	0.0443423
Motown	0.0438254
"Joni Mitchell"	0.0433134
Tchaikovsky	0.0430416
"Andy Williams"	0.0424254
rumba	0.042134
"Beastie Boys"	0.0420855
blowfish	0.0419659
"Cole Porter"	0.0417112
"Elton John"	0.0415402
"Neil Young"	0.0414679
"Backstreet Boys"	0.0412725
oldies	0.0411631
Heade	0.0409337
"Jerry Garcia"	0.0407742
Hildegard	0.0407156
"Ricky Martin"	0.0406643
Alberto	0.0403505
"Saint Laurent"	0.0401116
"Jim Morrison"	0.0400835
Coltrane	0.0400769
"Joan Crawford"	0.0400261
))
("Benoit Hogue" (desc 1289.8) (sims
"Jere Lehtinen"	0.321023
"Brian Skrudland"	0.32051
"Kirk Muller"	0.301155
"Dave Reid"	0.294516
"Pat Verbeek"	0.293686
"Grant Marshall"	0.275498
"Joe Nieuwendyk"	0.264181
"Jamie Langenbrunner"	0.262223
"Guy Carbonneau"	0.261552
"Mike Keane"	0.261374
"Tony Hrkac"	0.252582
"Brenden Morrow"	0.243942
"Blake Sloan"	0.238982
"Scott Thornton"	0.237123
"Darryl Sydor"	0.215455
"Richard Matvichuk"	0.205637
"Sergei Zubov"	0.205316
"Mike Modano"	0.196797
"Craig Ludwig"	0.195034
"Shawn Chambers"	0.17342
"Jon Sim"	0.155585
"Ed Belfour"	0.153085
"Derian Hatcher"	0.152033
"Aaron Gavey"	0.13698
"Ron Francis"	0.129478
"Mike Sullivan"	0.127926
"Geoff Sanderson"	0.126504
"Greg Adams"	0.121427
"Todd Harvey"	0.116976
"Theo Fleury"	0.116319
"Dale Hunter"	0.114805
Nieuwendyk	0.11405
Carbonneau	0.109583
"Doug Gilmour"	0.109203
"Pavol Demitra"	0.109192
"Manny Fernandez"	0.108502
"Landon Wilson"	0.107153
"Rick Tocchet"	0.107084
"Ziggy Palffy"	0.10501
"Jeremy Roenick"	0.10329
"Donald Audette"	0.102395
"Tony Amonte"	0.101718
"ZIGMUND PALFFY"	0.10115
"Brett Hull"	0.0993516
"Igor Larionov"	0.099287
Modano	0.0981135
"Alexander Mogilny"	0.097237
"Dallas Drake"	0.0960223
"Peter Bondra"	0.0941675
"Luis Figo"	0.0926895
"Brendan Shanahan"	0.0924537
"Ryan Giggs"	0.0922804
"Derek Plante"	0.0897792
"Wendel Clark"	0.088799
"Glen Murray"	0.0886716
"Nelson Emerson"	0.0870501
Keane	0.0862471
"Travis Green"	0.0858194
"Craig Johnson"	0.0853867
"Jaromir Jagr"	0.0837274
"Dave Andreychuk"	0.0833624
"Doug Weight"	0.0826101
"Steve Duchesne"	0.0825243
"Shane Doan"	0.0822859
"Cliff Ronning"	0.0817271
"Jeff Friesen"	0.0816503
"Luc Robitaille"	0.081511
"Claude Lemieux"	0.081027
"Peter Forsberg"	0.080516
"Keith Jones"	0.0804804
"Keith Tkachuk"	0.0801174
Lehtinen	0.0791734
"Alen Boksic"	0.0791612
"Patrik Elias"	0.078404
"Adam Deadmarsh"	0.0778816
"Gary Roberts"	0.0777505
"Vladimir Tsyplakov"	0.0777035
"Arvydas Sabonis"	0.0776664
"Bill Guerin"	0.0766863
"Robert Reichel"	0.0764063
"Darren McCarty"	0.0762955
Reichel	0.0758719
"Marc Overmars"	0.0749689
Smolinski	0.07476
"Paul Kariya"	0.0746931
"Harry Kewell"	0.0746181
"Alexei Yashin"	0.0741869
"Hao Haidong"	0.0737843
"Dixon Ward"	0.0731767
Daigle	0.0731455
"Matthew Barnaby"	0.0729406
"Ray Ferraro"	0.0721943
"Wayne Gretzky"	0.0721532
"Matt Johnson"	0.071873
"Brad Isbister"	0.0717319
"Eric Lindros"	0.0715153
"Niklas Sundstrom"	0.0714974
"Mark Recchi"	0.0710769
"Manny Malhotra"	0.0708872
"Robert Pires"	0.070878
"Owen Nolan"	0.0707674
"Steve Rucchin"	0.0704742
"Natalie Williams"	0.0701478
"Yao Ming"	0.0700793
"Bryan Smolinski"	0.0696581
"Wang Zhizhi"	0.0696562
Stumpel	0.0693959
"Milan Hejduk"	0.0691243
"Steve McManaman"	0.0685565
Briere	0.0674711
"Ted Donato"	0.0673737
"Steve Yzerman"	0.0672759
"Kenyon Martin"	0.0671377
"Pavel Bure"	0.0667602
"Joe Juneau"	0.066536
"Faustino Asprilla"	0.0663008
"Carlos Valderrama"	0.0661039
"Sergei Fedorov"	0.0660786
"Jermaine O'Neal"	0.0660322
"Roman Turek"	0.066016
"Chris Drury"	0.0659984
Laperriere	0.0658822
"Vlade Divac"	0.0644923
"Juha Ylonen"	0.0643937
Ceballos	0.0642854
Audette	0.0639299
"Brian Laudrup"	0.0635697
"Jayson Williams"	0.0635536
"Nwankwo Kanu"	0.0634975
"Karim Abdul-Jabbar"	0.0634099
"Chris Anstey"	0.0633657
"Chris Chelios"	0.0633119
"Dave Wohlabaugh"	0.0630712
"Hristo Stoichkov"	0.0628849
"P.J Axelsson"	0.0625867
"Steve Thomas"	0.0625504
"Teemu Selanne"	0.0624437
Hardeman	0.0623931
"Ian Laperriere"	0.062155
"Bob Corkum"	0.062132
Recchi	0.0620763
"Joe Sakic"	0.06194
"Brian Leetch"	0.0616275
Baerga	0.06137
"Cobi Jones"	0.0611242
"Al MacInnis"	0.0608069
Polgar	0.0606776
"Tamika Catchings"	0.0605134
"Keith Primeau"	0.0604166
"Dejan Savicevic"	0.0604116
"Walter Payton"	0.0601003
"Hidetoshi Nakata"	0.0599494
"Andre Rison"	0.0595895
"Vincent Damphousse"	0.0593929
"Vitaly Potapenko"	0.0591575
Sundin	0.0590521
"Larry Murphy"	0.0590408
Duchesne	0.0589428
Yzerman	0.0588803
"James McKnight"	0.0582245
"Ken Belanger"	0.0579439
"Carlos Hermosillo"	0.0579327
"Rob DiMaio"	0.0577754
"Shawn Bradley"	0.0575699
"Lee Nailon"	0.0574686
Langenbrunner	0.0574652
"Robert Jarni"	0.0572335
"Mark Messier"	0.057111
"Sergei Samsonov"	0.0571101
"Valeri Kamensky"	0.0567579
"Dmitri Khristich"	0.0566229
"Joe Thornton"	0.0564583
"Mario Stanic"	0.0559957
"Michael Peca"	0.0559921
"Khodadad Azizi"	0.0558921
"Mats Sundin"	0.0558685
"Ronald de Boer"	0.0555185
Asprilla	0.0555012
"Hu Weidong"	0.0553976
"Kenny Thomas"	0.0553931
"Ken Hitchcock"	0.055372
"Norm MacDonald"	0.055328
"Jason Arnott"	0.055286
Smyth	0.0551711
"Stan Collymore"	0.0550275
"Eric Cantona"	0.0549322
Graziani	0.0548126
"Donyell Marshall"	0.0548059
"Brian Rolston"	0.0546708
"Sean Rooks"	0.0546529
Samuelsson	0.0544702
"Joe Dumars"	0.0542133
Tverdovsky	0.0540418
"Chris Porter"	0.0538451
"Erik Williams"	0.0536417
Plante	0.0536396
"John LeClair"	0.0531309
"Yanic Perreault"	0.0530897
"Matt Geiger"	0.0530715
"Michael Finley"	0.053056
))
(BENSON (desc 6128.06) (sims
Burkett	0.10638
Woodard	0.102361
Radke	0.0983673
Ortiz	0.0955444
Schoeneweis	0.0922883
Washburn	0.0914961
Ankiel	0.0907378
Rusch	0.0882614
Stephenson	0.0882227
Mahomes	0.0880626
Parris	0.0868347
Dreifort	0.0865289
Schourek	0.0853545
Henley	0.0850422
"Russ Ortiz"	0.0845533
Kile	0.0829633
Bowden	0.0819565
Nagy	0.0818421
Guzman	0.0816613
Myers	0.0814801
Labonte	0.0813473
Benes	0.080127
Levine	0.0790668
Benitez	0.0789593
Hershiser	0.0787548
Hermanson	0.0787347
Saberhagen	0.0782617
Cleary	0.0782199
Schmidt	0.0780563
Padilla	0.0775496
Harnisch	0.0775093
Osborne	0.0772358
Brister	0.0771718
Gagne	0.0770382
Morrison	0.0768537
Richardson	0.0765364
Mercker	0.0762034
Adler	0.075887
Yoshii	0.0757184
Haynes	0.0757139
McGrath	0.0754735
Ingram	0.0754388
Carroll	0.0753544
Daal	0.0753326
Nolan	0.0751826
Hamlin	0.0751234
Dempster	0.0750508
Reynoso	0.0750076
Watson	0.0748668
Mlicki	0.0748642
Zimmerman	0.0747241
Stein	0.0745892
Helling	0.0744823
Perez	0.0740226
Mahoney	0.0734588
Levin	0.0732685
Rosenthal	0.0728691
Isringhausen	0.0727343
Snyder	0.0724445
Sheedy	0.0720813
Irvan	0.0720453
Greenwald	0.0719783
Finley	0.0719673
Hanley	0.0719021
Astacio	0.071754
Eisner	0.071719
Cloude	0.0717094
Wells	0.0717044
Vogel	0.0716478
Millwood	0.0715687
Rapp	0.0713973
Lowry	0.0713791
Weil	0.0712427
Fernandez	0.0710381
Elliott	0.0709423
Grossman	0.0706896
Mussina	0.0705858
"Chris Carpenter"	0.0703619
Gardner	0.0703472
Kurth	0.0702453
Richards	0.0701284
Loaiza	0.069978
Remlinger	0.0698874
Rueter	0.0693358
Fassero	0.0693334
Clement	0.0692789
Peterson	0.0691923
Smoltz	0.0691571
Valdes	0.0691083
Abbott	0.0688251
Saunders	0.0687037
Ashby	0.0686565
Belcher	0.0685097
Leiter	0.0684084
"Jeff Weaver"	0.0683651
O'Donnell	0.0683304
Tuttle	0.0682495
Moyer	0.068123
Coleman	0.0675974
Bohanon	0.0675089
Hickman	0.0674089
hale	0.0673762
Elarton	0.0673447
fuller	0.0673127
Grimsley	0.0672799
Johnston	0.0671038
Meyers	0.0670663
McPherson	0.0669991
Jimenez	0.0669784
Bowen	0.0668808
Olson	0.0668589
Sweeney	0.0665741
Maloney	0.0665407
D'Amico	0.0665386
Mendoza	0.0665365
Powell	0.0663508
Pfeiffer	0.0663057
Candiotti	0.0662333
Rivlin	0.0662202
Jaffe	0.0660978
Fagan	0.0660732
McKeon	0.066064
Nomo	0.0660582
Appier	0.0660382
Carlson	0.0660077
Gordon	0.0659153
Ferguson	0.0656542
Hentgen	0.0655899
Pearson	0.0654775
Gooden	0.0653643
Patterson	0.0652873
Hernandez	0.0652709
Etherton	0.0650951
Baldwin	0.0650361
Newman	0.0650347
Pena	0.0648839
LU	0.0648764
Wallace	0.0648524
Olivares	0.064617
Barlow	0.0645931
Pape	0.0645558
Lockhart	0.0644325
estes	0.0644116
Holmes	0.0641787
Arnold	0.0641137
Wohlers	0.0640958
McMillan	0.0639683
Krugman	0.063898
Halama	0.0638972
Bottenfield	0.0638801
McLachlan	0.0637117
Erickson	0.0634566
Percival	0.0632453
Pavano	0.0632227
Vazquez	0.0632215
Harr	0.0632054
Checo	0.0631883
Mathews	0.063183
Rivera	0.0631732
Thurman	0.0630652
Gaynor	0.0630504
Tobin	0.0630069
McDaniel	0.0630044
Avery	0.0629657
Barron	0.0629337
Wilson	0.062887
Gorman	0.0627764
Hoffman	0.0626714
Hendricks	0.0626359
Eaton	0.0625892
TALBOT	0.0625802
Osuna	0.0624876
Steele	0.0624844
Mckee	0.0624843
Trachsel	0.0624198
Bere	0.0623686
Fleming	0.0623554
"Jesus Sanchez"	0.0622643
Brunner	0.0622388
Zuckerman	0.0621834
Matthews	0.0621317
Herges	0.0620845
Judd	0.0620799
Barrett	0.0620192
Wolff	0.0619492
Cochran	0.0619257
Wiggins	0.0618578
Valenzuela	0.0618415
Kahn	0.0617111
Parker	0.0616973
Ono	0.0616905
Clark	0.0616723
Friedman	0.0616594
Brooks	0.0616249
Sullivan	0.0616237
Ripken	0.0615549
Menchu	0.0615474
Welch	0.0614906
Burns	0.0613487
Spencer	0.0612979
))
(Bensonhurst (desc 1198.65) (sims
"Park Slope"	0.330039
"Crown Heights"	0.278583
Bedford-Stuyvesant	0.268107
"East New York"	0.260517
"Borough Park"	0.25921
"Brighton Beach"	0.204257
"Bay Ridge"	0.200284
Flatbush	0.178261
Williamsburg	0.170431
"Highland Park"	0.160717
Brentwood	0.151254
Braintree	0.150482
"Red Hook"	0.149978
Riverdale	0.149663
"Hyde Park"	0.149046
"East Los Angeles"	0.147421
Morristown	0.143239
"Washington Heights"	0.140975
"Hell's Kitchen"	0.140551
"Little Havana"	0.138519
Dorchester	0.138332
"Woodland Hills"	0.135148
Kensington	0.133229
Englewood	0.132078
"East Orange"	0.130342
BRIGHTON	0.129778
"Forest Hills"	0.126315
"Mission Viejo"	0.126157
"Paradise Valley"	0.124752
Westport	0.124266
Tribeca	0.1233
"North Beach"	0.12184
Tarzana	0.119521
"Little Italy"	0.118976
"Studio City"	0.117472
Dunwoody	0.117441
"Hollywood Hills"	0.117404
Chatsworth	0.115302
"South Bronx"	0.114909
Astoria	0.114685
"Van Nuys"	0.114547
"Newport Beach"	0.112012
Buckhead	0.108976
"Bel Air"	0.10895
Encino	0.108568
Medford	0.10595
LAKEWOOD	0.105431
"Mill Valley"	0.103899
"North Hollywood"	0.103504
Roxbury	0.103218
Elmira	0.102028
Alpharetta	0.101897
"Walnut Creek"	0.101179
"Manhattan Beach"	0.100943
Montclair	0.100148
Chatham	0.099734
"Happy Valley"	0.0992705
"Great Neck"	0.0986836
Hattiesburg	0.0986682
Plano	0.0985977
Brockton	0.0983173
"Culver City"	0.0982445
Charlestown	0.0980377
Flushing	0.0974317
"Granada Hills"	0.0963285
Westfield	0.0960053
"Huntington Beach"	0.0953762
"Rocky Mount"	0.0953518
"Long Island City"	0.0953057
Brownsville	0.0951646
"East Harlem"	0.0946853
"Thousand Oaks"	0.0937691
"New Rochelle"	0.0936186
Wallingford	0.0925027
Americus	0.0925007
"Pacific Palisades"	0.0920003
Tarrytown	0.0919269
Needham	0.0911643
Clifton	0.0887184
Middletown	0.0885923
"Garden City"	0.0884038
Scarsdale	0.0876539
"Palm Beach Gardens"	0.087579
"New Canaan"	0.0874764
Peekskill	0.0872386
ARCADIA	0.087074
Saginaw	0.0859517
Ridgewood	0.085934
Akron	0.0858512
Stockbridge	0.085685
Somerville	0.0856206
"Sherman Oaks"	0.0854747
Bridgewater	0.0847084
"Delray Beach"	0.0842011
Poughkeepsie	0.0841476
Harlem	0.0834653
"San Felipe"	0.0816823
Amherst	0.0815263
"Greenwich Village"	0.0807217
"South Boston"	0.0805783
"Westlake Village"	0.080338
Chappaqua	0.0799199
Holyoke	0.0797609
Chinatown	0.0795283
"West Orange"	0.0791296
oceanfront	0.078673
"Fort Lee"	0.0784943
"Marin County"	0.0779765
"College Park"	0.0776008
Spokane	0.0772466
Wellesley	0.0771878
Falmouth	0.0765317
"Stone Mountain"	0.0763119
Alameda	0.0761264
ASHEVILLE	0.0758624
"Overland Park"	0.0758286
"Boynton Beach"	0.0756341
Bloomfield	0.0753729
"San Fernando Valley"	0.0751698
Duluth	0.0751472
Bridgehampton	0.0750915
Scranton	0.0748436
Naperville	0.0747807
Hillsboro	0.0746443
Waltham	0.074589
Bronx	0.0744651
"Coney Island"	0.0740719
riverside	0.0740386
Lakeland	0.0734202
Burlingame	0.0731843
"La Jolla"	0.0730382
Pomona	0.072565
Igloo	0.072551
"Santa Monica"	0.0717054
Aberdeen	0.0716915
"skid row"	0.0716902
"Port St. Lucie"	0.0715956
"Crystal City"	0.0714213
"Brooklyn Heights"	0.0712441
Norwood	0.0712263
"West Hollywood"	0.0712013
"South End"	0.0710765
"Queen Anne"	0.0709629
"Old Town"	0.0707352
Decatur	0.0701038
Knoxville	0.0698595
"Chapel Hill"	0.0698478
Evanston	0.0696855
tenement	0.0695638
Yonkers	0.0694124
"St. Paul"	0.0691077
Redding	0.0690084
"Staten Island"	0.0688283
Lawrenceville	0.0685267
"West Los Angeles"	0.068518
Weston	0.0684507
Gloucester	0.0684346
Monticello	0.0680821
Framingham	0.0676155
"Port Arthur"	0.0674784
Youngstown	0.0674739
Haifa	0.0673544
Brookline	0.0672684
Potomac	0.0667545
Rey	0.0667119
Carthage	0.0666742
"San Rafael"	0.0665953
Sunnyvale	0.0665232
"West Palm Beach"	0.0665085
"Miami Beach"	0.0663382
Greenwood	0.0661821
"talk of the town"	0.0661042
"Simi Valley"	0.066061
Queens	0.0654833
Watertown	0.0653959
"Cherry Hill"	0.0652638
"Antelope Valley"	0.0652574
Reseda	0.0648532
"East Hampton"	0.0647205
Stamford	0.0647042
lakefront	0.0644098
Cumberland	0.0643195
Wichita	0.0642602
Fresno	0.0641856
Farmington	0.0640316
Soho	0.064023
Missoula	0.0638479
Fremont	0.0635322
"Union City"	0.0634532
shanty	0.063424
"Silver Spring"	0.0633902
Malibu	0.0633405
Groton	0.0630557
"Baton Rouge"	0.0629979
Piedmont	0.0628796
Jasper	0.0626619
Sausalito	0.0625171
Macon	0.0624885
Shreveport	0.0618575
Bloomington	0.0617285
))
(Bent (desc 18810) (sims
leaning	0.0793814
sensibility	0.0602211
overtone	0.059459
impulse	0.0581385
intent	0.0572894
inclination	0.0556954
slant	0.0552654
affinity	0.0510553
tendency	0.0501879
flair	0.0498384
attitude	0.0494852
"point of view"	0.047154
perspective	0.0467488
credential	0.0466526
passion	0.0465986
penchant	0.0461648
zeal	0.0460451
orthodoxy	0.0455692
"sense of humor"	0.0443991
philosophy	0.0440002
heft	0.0439582
viewpoint	0.0433537
thinker	0.043298
instinct	0.0430867
"staying power"	0.0429435
fervor	0.0418636
"soul mate"	0.0418365
pretension	0.0416166
genius	0.0412468
touchstone	0.0409013
acuity	0.0408957
ideal	0.0405016
aspiration	0.0404226
Vibe	0.0402163
rumination	0.0402047
ferment	0.0401499
))
(Bentley (desc 5853.39) (sims
Lexus	0.16102
Lamborghini	0.148548
Rolls-Royce	0.129368
"Mercedes Benz"	0.129317
Mercedes	0.11758
Cadillac	0.112623
Porsche	0.111527
BMW	0.107034
Audi	0.100896
Hummer	0.0996852
Mercedes-Benz	0.0987673
Acura	0.0973642
"Lincoln Town Car"	0.0946249
Jaguar	0.089949
"Land Rover"	0.0893253
Buick	0.0877346
Volvo	0.0810096
Skoda	0.0799801
"Rolls Royce"	0.0789407
Jetta	0.0777028
Chrysler	0.0770132
beamer	0.0766704
Berenson	0.0738742
Saab	0.0738427
Infiniti	0.0736175
"station wagon"	0.0732776
jeep	0.0727305
rover	0.0727168
"Ford Explorer"	0.0719358
Packard	0.0704778
Bessette	0.0697858
COYNE	0.0696023
"Land Cruiser"	0.0694291
Subaru	0.069338
"Range Rover"	0.0684758
BMWs	0.0683896
Ferrari	0.0680342
Rosenthal	0.0680208
DeVille	0.0678853
Stratus	0.0674566
Passat	0.0670064
Yoon	0.0659983
Midler	0.0656566
"Jeep Cherokee"	0.0652967
Porsches	0.0646423
Jaffe	0.0644713
Bowers	0.0642478
S@@	0.0638672
Opel	0.0637106
Hanley	0.063554
Volkswagen	0.0634015
"Toyota Corolla"	0.0633934
"Pratt &AMP; Whitney"	0.0631884
Camaro	0.0631539
Menchu	0.0631252
convertible	0.0630937
Rosenberg	0.0629973
Nasrin	0.062296
Stayner	0.0620561
Saturn	0.0620148
"Volkswagen Beetle"	0.0617859
limousine	0.0615007
Prius	0.0614238
subcompact	0.0612642
Pape	0.0612307
corvette	0.0609206
Fiat	0.0608375
Plymouth	0.0606558
Ingram	0.0606308
Cheng	0.0605685
"sports car"	0.0603056
Weil	0.0602748
LeFave	0.0601156
Daniels	0.0600645
Morse	0.0596406
Mustang	0.0590521
Renault	0.0590127
Yates	0.0589602
Roland	0.058745
Honda	0.0586695
Greenwald	0.0586415
fuller	0.0586056
Rolls	0.0583552
Mazda	0.0583332
Cadillacs	0.0581042
SUV	0.057963
Grossman	0.0576384
Barrett	0.0575513
MG	0.0574409
impala	0.0574356
VW	0.0569981
V@@	0.056918
Wolff	0.0568095
Jelisic	0.056795
Duvall	0.056689
"Chevrolet Suburban"	0.0565206
Miata	0.0565095
Haynes	0.056413
Peugeot	0.0563436
Talebi	0.0563391
Ricart	0.0562434
"Ford Focus"	0.0560541
Zuckerman	0.0560189
Farber	0.0559525
Matthews	0.0558105
hardtop	0.0557312
Hendricks	0.0555844
Macdonald	0.0555771
Rowley	0.055537
Fagan	0.0555003
Gomes	0.0554901
drake	0.0553184
"New Beetle"	0.0552547
biplane	0.0549407
Rashid	0.0548378
Learjet	0.0548241
Barlow	0.054784
RV	0.0547753
Mucha	0.0547743
"Ford Mustang"	0.0547378
Meissner	0.054669
Toyota	0.0545923
Hahn	0.054523
Webdale	0.0544848
Orangina	0.0544584
Oldsmobile	0.0542802
Rollins	0.0540974
Mortimer	0.0540577
Lin	0.0539482
"hot rod"	0.0539232
Vasquez	0.0538667
"passenger car"	0.0538626
Finkel	0.0538566
Waltrip	0.0537999
hearse	0.0535707
Pierson	0.0535179
Torres	0.0534107
Nissan	0.0533
double-decker	0.0532618
hatchback	0.0531677
Rowan	0.0531283
Nichols	0.0530696
A@@@-@@@	0.053059
Sorensen	0.0529227
Griffith	0.0528298
"patrol car"	0.0527823
"Chevrolet Monte Carlo"	0.0527059
midsize	0.0525386
Lincoln	0.0523136
Hirsch	0.0522991
Waxman	0.0522282
Flores	0.0520631
Taft	0.0520387
nance	0.0519835
"Ford Escort"	0.0519254
Limo	0.0518605
Soto	0.0518458
Santana	0.0516941
Rubenstein	0.051656
Powerbook	0.0516291
Goldstein	0.0516102
Pfeiffer	0.0516039
Kauffman	0.0515798
"Airbus @@@"	0.0515393
Weis	0.0514628
Carlson	0.0513808
Batouty	0.0513212
Leibovitz	0.051309
Lerner	0.0512959
O'Sullivan	0.0512878
Phelps	0.0512297
Wasserstein	0.0511468
Behr	0.0509945
Mckee	0.0508723
Duffy	0.0508428
Sheedy	0.0507654
Thinkpad	0.0506382
Lockwood	0.0506077
Simons	0.0504935
Chevrolet	0.0504314
Copeland	0.0503782
USAir	0.0503678
Mullen	0.0501968
Friedman	0.0498577
Meyers	0.0498361
Stephenson	0.0497902
"Lincoln Navigator"	0.0495673
Schafer	0.0495321
Mcbride	0.0495277
Airstream	0.0495263
Baum	0.049476
singleton	0.0494051
Sheppard	0.0492724
Harley	0.0492479
Haagen-Dazs	0.0492121
O'Connell	0.0491762
Sims	0.0489572
Sheehy	0.0488758
McLachlan	0.0488653
"Maturino Resendiz"	0.048813
))
(Benton (desc 3041.85) (sims
"Claudia Benton"	0.21418
Moxley	0.204703
Dahmer	0.186873
Starovoitova	0.15461
Gerardi	0.149893
Slepian	0.144226
"JonBenet Ramsey"	0.142151
Gaither	0.138756
Hajdari	0.137191
Bellush	0.133773
"Martha Moxley"	0.132636
JonBenet	0.126932
Guerin	0.126194
Webdale	0.124314
Fahey	0.12299
Middleton	0.117206
Winchell	0.105431
"James Byrd Jr."	0.104784
"James Byrd"	0.100584
"Matthew Shepard"	0.098221
Ileto	0.0960567
Ricart	0.0942823
Binion	0.094077
wheeler	0.0930107
Byrd	0.0919712
Amedure	0.0904387
Neulander	0.0901554
Hani	0.0900698
Norberg	0.089286
Brawley	0.0884525
Shepard	0.0871254
Snead	0.0858249
"Matthew Eappen"	0.0857062
Mathews	0.0846851
Dominguez	0.0820893
Jensen	0.0818411
Cobain	0.079063
Corcoran	0.0771869
Cline	0.0766084
Merritt	0.0764802
Kurth	0.0759892
Aquino	0.0753019
Marchand	0.074649
Dorismond	0.0740885
Sheppard	0.0740755
Curley	0.0739601
Postel	0.0737187
Broaddrick	0.0736465
Lawler	0.0733176
krueger	0.0730602
Yoon	0.072943
Diallo	0.0729047
sightseer	0.0728416
Chukwu	0.0723465
Nkabinde	0.0718676
Pierson	0.0717976
Carmichael	0.0716368
Youk	0.0714745
Machel	0.0712286
FitzPatrick	0.0711928
Walser	0.0709672
Watkins	0.0703508
O'Hair	0.0702671
Tilberis	0.0700407
Arkan	0.069602
Ramsey	0.0691735
Clarke	0.0682568
bock	0.0681271
Baez	0.0677999
Abram	0.0677534
Orton	0.0671455
Kagalovsky	0.0671241
Easton	0.0670371
Adair	0.0668031
Biko	0.0667586
Menchu	0.0667361
Boyle	0.0667358
Armstrong	0.0666862
Hawkins	0.0666014
"Amadou Diallo"	0.066213
Silverman	0.0661051
Berenson	0.0657788
Schafer	0.0655679
Sund	0.0654532
Raduyev	0.0654472
Crockett	0.0654237
Scruggs	0.0650082
Wasserstein	0.0650066
"Galina Starovoitova"	0.0649851
Rupert	0.0647421
Weil	0.0646863
Hewlett	0.0646452
Samuelson	0.064335
Deutch	0.0637215
B.J	0.0636364
Trincomalee	0.0635051
Atkinson	0.0634651
Galindo	0.0632926
Leavenworth	0.0631532
Lawrence	0.0629794
Stahl	0.0629196
"Barnett Slepian"	0.0627704
Tate	0.0625133
Noe	0.0624799
Gachet	0.0623938
Moreau	0.062289
Koop	0.0621638
Bisek	0.0619487
Sykes	0.06167
Chatham	0.0614311
Callahan	0.0611517
Hickman	0.0607159
Marquez	0.0606541
Allende	0.060271
Selena	0.0602096
Murmansk	0.0601644
Costin	0.0601338
Farrell	0.0601054
stepdaughter	0.0599852
Mckee	0.0597254
Morley	0.059692
Simpson	0.0596514
Liston	0.0596134
O'Sullivan	0.0595175
Vasquez	0.0595136
"Patrick Dorismond"	0.0593456
Rosenberg	0.0592323
Hess	0.0591644
Rivlin	0.0589403
Jaffe	0.0588832
Stephenson	0.0588367
Barker	0.0588272
ex-girlfriend	0.058787
Grossman	0.0586564
Odessa	0.0584078
"garment worker"	0.0583584
Shriver	0.0583284
Herron	0.0583012
Goldin	0.0581634
Snowe	0.0581077
PITTS	0.0580664
Mucha	0.0580414
McPherson	0.0577612
Matadi	0.057582
Shao	0.057513
Bushnell	0.0573141
Polly	0.0572707
Garza	0.0572562
Padilla	0.057169
Waugh	0.0571039
Cosby	0.0570752
Rabin	0.0568988
Fiorina	0.0567725
Oliveira	0.0567378
Couric	0.0565711
Seymour	0.0565033
Portnoy	0.0564989
Mapes	0.0563978
Castaneda	0.0563623
Hamlin	0.0563612
Galvin	0.0563355
"school girl"	0.0562941
Markovic	0.0562801
Lockwood	0.0562628
"East Orange"	0.0562254
Wilkerson	0.0561632
Cleary	0.0559268
Ashrawi	0.0558
Peters	0.0556833
Galle	0.0555988
Carnegie	0.0555679
"Ruiz Massieu"	0.0555578
Rowley	0.0555303
Britton	0.0555126
Levin	0.055501
Olson	0.0554827
Ita	0.0553498
Mehmet	0.0551452
Mullen	0.0551315
Lovett	0.0551059
Fuhrman	0.0550605
MCGEE	0.055013
Sealy	0.054917
Lin	0.0548344
Flores	0.0547716
"Carole Sund"	0.0547131
Hahn	0.0546624
Libby	0.0546263
Lambert	0.0544537
Sheehy	0.0542905
Barad	0.0542428
Gardner	0.0542299
Jewell	0.0541224
Busch	0.0540978
"Martin Luther King"	0.0540769
"Thomas Youk"	0.0540755
Pamela	0.0540632
Kirkpatrick	0.0540279
Jimenez	0.0540108
Lowry	0.053601
))
(benzene (desc 3279.52) (sims
"carbon monoxide"	0.224968
"hydrogen sulfide"	0.213435
"nitrous oxide"	0.203824
dioxin	0.200242
cadmium	0.198711
nitrogen	0.196204
"organic compound"	0.192287
chloride	0.191938
"nitrogen oxide"	0.191157
arsenic	0.186235
methanol	0.183424
sulfur	0.18211
"nitrogen dioxide"	0.181099
"carbon dioxide"	0.170643
chlorine	0.168747
cyanide	0.167092
"sulfur dioxide"	0.164205
methane	0.160942
hydrocarbon	0.156123
Sulphur	0.152871
DDT	0.148991
ozone	0.145195
Radon	0.133731
dioxide	0.133423
PCBs	0.131516
chromium	0.130985
PCB	0.119816
ammonia	0.118613
mercury	0.115943
asbestos	0.11508
dioxins	0.113293
urea	0.111788
soot	0.109952
pollutant	0.109887
"diesel oil"	0.109419
"liquefied petroleum gas"	0.109373
capsaicin	0.109119
nitrate	0.108079
particulates	0.107617
"lubricating oil"	0.107506
hydrogen	0.106425
contaminant	0.105556
"water vapor"	0.104245
MTBE	0.102852
"caustic soda"	0.101457
nicotine	0.100873
ethylene	0.0995346
acetone	0.097009
wastewater	0.0948929
pesticide	0.0932134
tremolite	0.0925578
carcinogen	0.092508
ethanol	0.0919967
lycopene	0.0911909
beryllium	0.091047
formaldehyde	0.089379
"fuel oil"	0.0881229
phosphorus	0.0862938
propane	0.0862823
impurity	0.0860717
listeria	0.0859454
vapor	0.0845659
potassium	0.0839588
carotene	0.0835658
Zinc	0.0826895
tritium	0.0825966
ephedrine	0.082356
"nitric oxide"	0.0823009
"fatty acid"	0.0816914
pseudoephedrine	0.0815625
selenium	0.0809439
"free radical"	0.0807452
"vitamin D"	0.0793534
"diesel fuel"	0.0793507
"vitamin C"	0.0791165
acid	0.0790843
fluoride	0.0786792
folate	0.0785116
toxin	0.0784958
Sarin	0.077857
oxide	0.077124
dopamine	0.0769128
radioactivity	0.0762882
"ground water"	0.0761054
tar	0.0760869
groundwater	0.0753505
"vitamin E"	0.0752388
manganese	0.0750664
salmonella	0.0750075
melatonin	0.074319
allergen	0.0738283
carbon	0.073303
caffeine	0.0731757
CO@	0.072572
polypropylene	0.0718659
diesel	0.0713336
kerosene	0.0711302
"folic acid"	0.0697211
"polyvinyl chloride"	0.0691385
"nitric acid"	0.0690251
Calcium	0.0689923
smog	0.0680153
aromatics	0.0674357
antioxidant	0.0673382
glucose	0.0659735
phosphate	0.0655091
nandrolone	0.0648919
petroleum	0.0648139
cryptosporidium	0.0647619
"chemical compound"	0.0642735
VX	0.0640803
"amino acid"	0.0637552
particle	0.0636325
"motor oil"	0.0635836
fertilizer	0.0633906
"vitamin A"	0.0631433
oxygen	0.0629731
isotope	0.0627769
residue	0.0626419
iodine	0.0625918
coli	0.0624036
"acid rain"	0.0622851
CFCs	0.0622846
LPG	0.0622356
O@@@:H@	0.0622132
herbicide	0.0618945
"heating oil"	0.061837
Sewage	0.061698
"toxic waste"	0.0608947
plutonium	0.0607456
hormone	0.0606309
tailpipe	0.060583
nutrient	0.0605629
polyethylene	0.0602116
fungicide	0.0599329
"chemical agent"	0.0596661
antigen	0.0596187
"methyl bromide"	0.0593141
"growth hormone"	0.0589385
magnesium	0.0588262
radiation	0.0585537
condensate	0.058394
uranium	0.058302
solvent	0.058294
LDL	0.0582934
enzyme	0.0578709
petrol	0.0578353
salinity	0.0575508
helium	0.0574765
testosterone	0.0574452
starch	0.0572431
estrogen	0.0565988
biogas	0.0564075
lubricant	0.0561262
amphetamine	0.0560991
sodium	0.0557679
giardia	0.0551583
Copper	0.0550347
hGH	0.0549574
serotonin	0.0549063
T-cells	0.0548539
contamination	0.0547659
nitroglycerin	0.0547551
"nerve gas"	0.0546218
"fossil fuel"	0.0544928
"electric power"	0.0544362
HDL	0.0542394
sulfate	0.0532153
POTASH	0.0531472
"air pollution"	0.052874
leptin	0.0527105
anthrax	0.0526422
absinthe	0.052365
talc	0.0522814
additive	0.0520856
greenhouse	0.0520509
homocysteine	0.0513422
ore	0.0507016
"solar power"	0.0505611
cholesterol	0.0502589
olestra	0.0502544
hemoglobin	0.0500904
antibody	0.0500886
"sex hormone"	0.0499022
bacillus	0.0498851
microorganism	0.0496858
combustion	0.0495575
Nickel	0.0494788
ingot	0.0488591
petrochemical	0.0488542
"mustard gas"	0.0483212
"blast furnace"	0.0478194
morphine	0.0477481
moisture	0.0474855
resin	0.0471635
thinner	0.0470838
"solar energy"	0.0470461
"diesel engine"	0.0466595
"blood sugar"	0.0464069
cellulose	0.0462634
))
(Beowulf (desc 2766.37) (sims
"literary work"	0.0784411
"Old Testament"	0.0742418
psalm	0.073818
"New Testament"	0.0716369
Cookery	0.0696927
Moby-Dick	0.0690998
"Animal Farm"	0.0666749
Ulysses	0.0647703
Talmud	0.0630641
Pushkin	0.0628083
Thoreau	0.0612175
"spoken word"	0.05948
Dickinson	0.0589754
Koran	0.0583796
Scripture	0.0562092
libretto	0.0544894
sonnet	0.0478417
"Princess Mononoke"	0.0466394
"written word"	0.0465629
encyclical	0.0462984
"Starr Report"	0.0452434
"Lord's Prayer"	0.0450908
Juneteenth	0.0448012
"Moby Dick"	0.0440581
"Great Gatsby"	0.0438047
Bach	0.0436293
Sanskrit	0.0435588
McPhee	0.0430074
Hebrew	0.0429863
"Windows @.@"	0.0424807
Braveheart	0.0421687
gunslinger	0.0421464
Espinoza	0.0419802
Yiddish	0.041478
"St. Louis Post-Dispatch"	0.0414072
"prayer book"	0.0405289
"Hollow Man"	0.0403689
Nabokov	0.0402852
Burroughs	0.0402173
"raw data"	0.0401217
cubism	0.0400917
))
(Beqaa (desc 1870.27) (sims
Bekaa	0.262109
"Bekaa Valley"	0.187451
"Syrian Golan Heights"	0.0922049
Chamonix	0.0801624
Sidon	0.0768893
Mostar	0.0664539
"Mount Lebanon"	0.0656175
"Kigoma Region"	0.0649242
"KwaZulu-Natal Province"	0.059082
Waterville	0.057764
"Melbourne Cricket Ground"	0.0569964
Monza	0.05672
"Taihu Lake"	0.0560179
Kyushu	0.0551872
Hesse	0.0538374
"North Caucasus"	0.0532025
"British government"	0.0525129
"Red River"	0.0521492
"Connecticut River"	0.0519854
terminus	0.0519496
Huaihe	0.0514588
Rhone	0.0514136
"Northeast Asia"	0.0512589
Berne	0.0500995
UNIFIL	0.0495635
Amal	0.0493563
"San Fernando"	0.0489668
Lucknow	0.0487613
Drenica	0.0484992
"Tennessee Valley"	0.0483705
"Iglim Al-Toffah"	0.0483602
Edna	0.0480342
"Australian state"	0.0455924
"Yugoslav Republic"	0.0450794
"New Guinea"	0.0449788
Keene	0.044544
KwaZulu/Natal	0.0443967
Karlsruhe	0.0443266
Ruhengeri	0.0436364
Highbury	0.0435164
"Ohio River"	0.0425859
"New Territories"	0.0421338
"Sierra Nevada"	0.0417627
Presense	0.0414736
Yaounde	0.0412921
"Great Plains"	0.0412478
"Kwazulu/Natal Province"	0.041089
"Nile River"	0.0408951
"Huaihe River"	0.0406234
Baalbek	0.0403291
))
(bequest (desc 3117.53) (sims
"annual payment"	0.124837
"personal loan"	0.101144
"operating budget"	0.0923473
"cash payment"	0.088004
inheritance	0.080156
payout	0.0766282
"nest egg"	0.0755133
"sticker price"	0.0740034
"birthday gift"	0.0713314
proceeds	0.0694924
windfall	0.0680258
"tender offer"	0.0671052
stipend	0.0665061
"admission fee"	0.0660448
"war chest"	0.0651851
endowment	0.0651137
counteroffer	0.0646596
restitution	0.0629281
"asking price"	0.0628689
savings	0.0615107
"credit line"	0.0613418
"pay cut"	0.0612969
"line of credit"	0.0612826
"gross income"	0.0604995
"retirement benefit"	0.0601518
"price tag"	0.0600207
obeisance	0.0597474
"golden parachute"	0.0586547
facelift	0.0581674
payoff	0.0581405
"fund-raising drive"	0.0566035
"birthday present"	0.0564812
infusion	0.0561097
"face lift"	0.0560831
fillip	0.0559432
paycheck	0.055884
Ransom	0.0557215
tip-off	0.0554923
"down payment"	0.0552403
claimer	0.0550325
"personal appeal"	0.0549201
"purchase price"	0.0538871
"marriage proposal"	0.0537877
carryover	0.0537142
jackpot	0.0536449
"hush money"	0.0536117
"pretax charge"	0.0535645
monies	0.053321
PRICETAG	0.0530014
"honorary degree"	0.0527522
handout	0.0527503
"Christmas gift"	0.0527243
dowry	0.052577
inducement	0.0523202
trove	0.052225
increment	0.0521879
kickback	0.0521256
payday	0.0519556
"pretax loss"	0.0516613
largess	0.0515619
"investment portfolio"	0.051309
disservice	0.0512575
overpayment	0.0512451
alimony	0.0511722
appropriation	0.0510849
"circulatory system"	0.0510286
yearling	0.0509744
"interest payment"	0.0505192
"hair follicle"	0.0504802
bounty	0.0502001
"change of mind"	0.0496118
mailing	0.0488264
"positive feedback"	0.0485886
"ad blitz"	0.0483317
"letter of credit"	0.0480974
winnings	0.0476562
"tax income"	0.0476
"compensation package"	0.0475943
payouts	0.0475828
transfusion	0.0471938
"tax deduction"	0.0469919
remittance	0.0469447
"Official Development Assistance"	0.0467226
"blind date"	0.0462657
outlay	0.0459451
commendation	0.0456771
"feast day"	0.0455902
"cash bonus"	0.0455186
"job offer"	0.0454939
sendoff	0.0453291
"equity investment"	0.0452955
"prize money"	0.0451381
makeover	0.0451327
buyout	0.0449947
"Christmas present"	0.0448748
"first word"	0.0446039
mailings	0.0445836
gratuity	0.0443146
"reorganization plan"	0.0441179
"speeding ticket"	0.043571
"takeover offer"	0.0434458
"form letter"	0.0432958
"Social Security benefit"	0.0431014
"disability benefit"	0.0428229
"entrance fee"	0.0425732
"moral obligation"	0.0423072
"market value"	0.0422623
"loan application"	0.0420431
"bank withdrawal"	0.0419597
examinees	0.0418716
write-off	0.0415835
"tax benefit"	0.0415009
toolbox	0.0412562
allotment	0.0412467
dividend	0.0411123
overdraft	0.0410912
"slush fund"	0.0409552
"art collection"	0.0406374
"net income"	0.0406266
"reserve fund"	0.0405396
Requests	0.0402532
generosity	0.0401814
"margin call"	0.0401498
))
(Berard (desc 1684.01) (sims
Jonsson	0.162415
Andreychuk	0.143556
Niedermayer	0.138224
Meston	0.136996
Daigle	0.134276
Tverdovsky	0.134126
Duchesne	0.133421
Bure	0.125365
Stumpel	0.122772
Recchi	0.115946
Turgeon	0.115394
Sehorn	0.114291
Reichel	0.114031
Palffy	0.113651
Lindros	0.112907
Pippig	0.111814
Chmura	0.111507
Ott	0.110782
Fortson	0.110736
Edm	0.108829
Meares	0.105039
LeClair	0.104564
Laettner	0.100881
Roenick	0.100737
Marinovich	0.100641
Wheatley	0.10048
phi	0.100418
Stl	0.0998468
Primeau	0.0991723
Wynalda	0.0991512
Smolinski	0.0979119
SJ	0.0978689
Hollandsworth	0.0976952
CORYATT	0.0971578
Zubov	0.0966597
Gascoigne	0.096181
Leetch	0.095698
Laperriere	0.0953551
DiSarcina	0.0952297
Odom	0.0944306
Dele	0.093948
Holdsclaw	0.0938088
McIver	0.0927278
Kariya	0.0924418
BUF	0.0920923
Sang	0.0920698
Harbaugh	0.0915535
Lacroix	0.0913131
Samuelsson	0.0911758
Donato	0.0903399
Drury	0.0902055
MacLean	0.0898566
Olowokandi	0.0883271
Forsberg	0.087466
Lett	0.0873737
Nowitzki	0.0871521
Maradona	0.0870527
Holik	0.0870487
Bourque	0.0867999
Sydor	0.085701
Underwood	0.0855131
Swann	0.0853042
Sundin	0.085098
Lehtinen	0.0846346
Alou	0.0843438
Chelios	0.0839854
Druckenmiller	0.0835048
Robitaille	0.083237
DeShields	0.0828175
Beltran	0.0823424
Candiotti	0.0821014
Modano	0.0819082
Gugliotta	0.0816068
Sabonis	0.0816006
col	0.0815144
Gatling	0.0812158
Stoudamire	0.0811372
pho	0.0806333
dal	0.0804586
Wadsworth	0.0797055
Kovalev	0.0796795
"Ray Bourque"	0.0792357
McSorley	0.0792307
Det	0.0791063
"Di Canio"	0.0785714
Fiset	0.078299
Pederson	0.0782979
Nedved	0.0782104
McDuffie	0.077916
Valenzuela	0.0772698
Irvan	0.0772592
"Scotty Bowman"	0.0770002
Hundley	0.0767159
Paus	0.0764037
Turek	0.0763208
tor	0.0762777
Yashin	0.076195
Brogna	0.0759723
Baez	0.075901
Audette	0.0758093
Fisk	0.0756586
"Sang Lan"	0.0753408
Sotomayor	0.0748708
Storr	0.0738145
Appier	0.0733859
FLA	0.0733175
Hatcher	0.0724808
Cassell	0.0723368
Newsome	0.072177
Irvin	0.0716064
"Del Piero"	0.0715394
Barrasso	0.0713158
McDyess	0.0709095
"Bryan Berard"	0.070885
Guillen	0.0708498
Doohan	0.0707299
Szczerbiak	0.0707092
Segui	0.0704026
Sykora	0.0703897
"Maturino Resendiz"	0.0702833
Tkachuk	0.0701224
Bullard	0.0700223
Jeffers	0.0698854
Artest	0.0698846
Graziani	0.0698472
Matvichuk	0.0698081
Salaam	0.0696336
Ana	0.0696287
Larkin	0.0695749
Ledee	0.0695217
Metcalf	0.069427
Brashear	0.0692091
Langenbrunner	0.0691616
Neely	0.0691288
Mon	0.0690529
"J.R Redmond"	0.0690043
Fuhr	0.0687348
Atwood	0.0687099
Fiedler	0.068503
Cienfuegos	0.068349
Nomo	0.0680374
Karpov	0.0678574
McKay	0.0678159
Catalanotto	0.0676123
Cordero	0.0675265
Baggio	0.0675028
Spellman	0.0672451
Ceballos	0.0671895
DiMaio	0.0670032
Kuchar	0.0669559
Olajuwon	0.0669255
Perrot	0.0668281
Mondesi	0.0664421
Kamensky	0.0664265
Calvary	0.0661291
Cirillo	0.0661071
"Todd Hollandsworth"	0.0660677
linesman	0.0658943
Soward	0.0655362
"Ulf Samuelsson"	0.0655216
leeson	0.0654613
Faulk	0.0652762
Savon	0.0652374
Kluivert	0.0651023
Anelka	0.0649378
Erstad	0.0648911
Pak	0.0646745
Sakic	0.0644647
Neilson	0.0642277
Alves	0.0641396
Webber	0.0640658
Gretzky	0.0639403
Richter	0.0638994
Recker	0.0637858
Arnott	0.0633671
"Jeremy Roenick"	0.0633274
Phills	0.0633055
Faget	0.063196
Counsell	0.0628674
Weah	0.0627098
Grahame	0.0625451
Peca	0.0623589
Fleury	0.0623109
"Van Raaphorst"	0.0622711
Gehry	0.0621926
Caminiti	0.0621292
Brack	0.062038
Kasparov	0.0619991
Vina	0.0619808
Strahan	0.0619796
Rucchin	0.061941
Bierhoff	0.0618649
Skiles	0.0618498
Messier	0.0617224
"Ken Daneyko"	0.0615497
Maggette	0.0614698
Merkel	0.0613973
Yzerman	0.0613027
"Champ Bailey"	0.0612933
Nivel	0.0611406
))
(Berasategui (desc 871.875) (sims
Clavet	0.321687
Stoltenberg	0.2591
Corretja	0.255222
Medvedev	0.250576
Lapentti	0.246823
Raoux	0.242518
Gustafsson	0.234746
Santoro	0.233355
Bjorkman	0.22892
Prinosil	0.228239
Halard-Decugis	0.228147
Edberg	0.22584
Bruguera	0.222659
Testud	0.222581
Ulihrach	0.22218
Sanchez-Vicario	0.221111
"Brenda Schultz-McCarthy"	0.216495
Schnyder	0.213939
Dragomir	0.21244
Mantilla	0.212106
"Alberto Berasategui"	0.209456
Pioline	0.209255
"American Chanda Rubin"	0.208046
Tauziat	0.20729
Coetzer	0.20486
"Albert Costa"	0.20438
"Anke Huber"	0.203206
"Australian Mark Philippoussis"	0.201156
Mauresmo	0.200111
Kiefer	0.19961
Enqvist	0.198467
Spadea	0.197398
Sugiyama	0.196883
Nicol	0.196447
"Alberto Costa"	0.194677
"MaliVai Washington"	0.194243
"Felix Mantilla"	0.193219
Schett	0.191876
"Dai Yun"	0.191578
"Francisco Clavet"	0.190308
Huber	0.186752
Majoli	0.186656
"Arnaud Di Pasquale"	0.186523
"Amy Frazier"	0.185973
"Nathalie Dechy"	0.1858
Likhovtseva	0.185496
"Sarah Pitkowski"	0.18411
"Scott Draper"	0.182827
"Carlos Costa"	0.181989
"Arantxa Sanchez-Vicario"	0.180945
Tarango	0.180687
"Vincent Spadea"	0.180531
Swardt	0.180071
Ferreira	0.179809
"Javier Sanchez"	0.179604
"Albert Portas"	0.17844
"Joannette Kruger"	0.177527
Moya	0.175886
Ivanisevic	0.174975
Henman	0.174706
"Jerome Golmard"	0.173139
Schalken	0.171589
"Arnaud Clement"	0.169068
"Mary Joe Fernandez"	0.168793
Kucera	0.168633
"Cedric Pioline"	0.168592
"Chanda Rubin"	0.168527
Serna	0.168478
Rusedski	0.168122
"Magdalena Maleeva"	0.166425
"Younes El Aynaoui"	0.165405
"Tatiana Panova"	0.165346
Pavel	0.165318
"Sergi Bruguera"	0.164316
"Asa Carlsson"	0.163838
Kuerten	0.163458
"Gong Ruina"	0.16314
Kafelnikov	0.162893
Kremer	0.162838
rios	0.16255
"Conchita Martinez"	0.162037
Siemerink	0.161842
"Mary Pierce"	0.161831
Lareau	0.161504
"Arantxa Sanchez Vicario"	0.161445
"Tommy Haas"	0.161278
Habsudova	0.161079
Arazi	0.160773
"Sandrine Testud"	0.159161
"Phenix City"	0.158807
"Todd Martin"	0.158642
"Steve Campbell"	0.157507
"Barbara Paulus"	0.157459
Sidot	0.157295
Dosedel	0.156643
"Sebastien Grosjean"	0.156139
"Fabrice Santoro"	0.155985
"Thomas Enqvist"	0.154857
"Fernando Meligeni"	0.15431
"Andrei Pavel"	0.153713
"Franco Squillari"	0.153515
"Mark Knowles"	0.153472
Zvereva	0.152822
"Wayne Ferreira"	0.152784
"Gianluca Pozzi"	0.152781
Spirlea	0.152769
"Kenneth Carlsen"	0.15211
Susanti	0.152046
"Michael Chang"	0.151713
"Brett Steven"	0.151568
"Christian Ruud"	0.15127
"Wang Chen"	0.150185
"Adrian Voinea"	0.149929
"Richey Reneberg"	0.149837
"Russian Yevgeny Kafelnikov"	0.149568
"Tim Henman"	0.149461
Capriati	0.149398
Gambill	0.14887
Lindland	0.1486
"Magnus Norman"	0.147823
Gimelstob	0.147172
Jansher	0.146612
"Andrei Medvedev"	0.146014
"Jennifer Capriati"	0.14586
"Naoko Sawamatsu"	0.145745
"Carlos Moya"	0.145377
"Roger Federer"	0.14519
"American Pete Sampras"	0.145183
"Yayuk Basuki"	0.144502
Larsson	0.144032
Korda	0.143931
"Karim Alami"	0.143612
"Jason Stoltenberg"	0.142656
"Li Fang"	0.142434
"Marc Rosset"	0.142373
Nacional	0.142336
"Amelie Mauresmo"	0.142314
"Nicolas Kiefer"	0.141657
Damm	0.141465
"Lisa Raymond"	0.14146
Novotna	0.14107
"Peter Gade Christensen"	0.141052
"Richard Fromberg"	0.141017
"Van Roost"	0.140894
"Anne-Gaelle Sidot"	0.140619
"Judith Wiesner"	0.140592
Olympiakos	0.140058
"Thomas Johansson"	0.139851
Haarhuis	0.139594
"Jonas Bjorkman"	0.139377
"Thomas Muster"	0.13937
"Karol Kucera"	0.139357
Krajicek	0.139315
"Andrew Ilie"	0.13865
"Fighting Irish"	0.13826
"Magnus Gustafsson"	0.138232
"Nathalie Tauziat"	0.137984
"Mariano Zabaleta"	0.137931
"Gong Zhichao"	0.137617
"Todd Woodbridge"	0.13759
"Mark Philippoussis"	0.137572
Farina	0.137511
Gaudenzi	0.137502
"Leander Paes"	0.137095
"Tamarine Tanasugarn"	0.136472
"Andreas Vinciguerra"	0.136027
Lucic	0.136008
"Julie Halard-Decugis"	0.135983
"Elena Likhovtseva"	0.135903
"Marcelo Filippini"	0.135487
"Vince Spadea"	0.135216
"Gustavo Kuerten"	0.135212
Shenhua	0.13519
"Renzo Furlan"	0.135139
Hrbaty	0.135049
"Ruxandra Dragomir"	0.135032
Frenchwoman	0.134783
Seles	0.134718
"Paul Goldstein"	0.134618
"Silvia Farina"	0.134613
"Jeff Tarango"	0.134598
Kroslak	0.133961
"Jonathan Stark"	0.133851
"Hicham Arazi"	0.13375
"Wayne Black"	0.133726
"Goran Ivanisevic"	0.133614
"Galo Blanco"	0.133324
"Ai Sugiyama"	0.132949
"Mariano Puerta"	0.132946
"Corina Morariu"	0.132864
"Iva Majoli"	0.132472
Haas	0.131828
"Sanchez Vicario"	0.131609
Razorback	0.131345
"Sabine Appelmans"	0.131301
"Irina Spirlea"	0.130874
Safin	0.130847
"Pat Rafter"	0.130479
"Partizan Belgrade"	0.130468
"Rita Grande"	0.130446
Gremio	0.130429
"Stefan Edberg"	0.130171
"David Prinosil"	0.130005
"Hernan Gumy"	0.129929
Sautin	0.129913
"American Todd Martin"	0.129683
"Venus Williams"	0.129451
"Arnaud Boetsch"	0.129448
Woodforde	0.129372
"Boris Becker"	0.129314
"Sargis Sargsian"	0.129099
"Byron Black"	0.128767
"Wang Liqin"	0.128748
"Lleyton Hewitt"	0.12864
"Xavier Malisse"	0.127913
"Dominique Van Roost"	0.127522
Johansson	0.127361
Rosset	0.126352
"Peter Rasmussen"	0.12626
"Filip Dewulf"	0.126011
Costa	0.125851
Po	0.125838
"Kimiko Date"	0.125695
Meligeni	0.125497
"Juan Antonio Marin"	0.125301
"Joko Suprianto"	0.125194
"Zhang Ning"	0.124704
"Chen Gang"	0.124564
"San Jose Sharks"	0.124322
Puerta	0.124102
"Jiri Novak"	0.12409
"Julian Alonso"	0.123982
"Calgary Flames"	0.123816
"Patrick Rafter"	0.123471
"American Michael Chang"	0.123456
Philippoussis	0.122755
"Magui Serna"	0.122448
"Fung Permadi"	0.122083
Kournikova	0.12202
"Jana Novotna"	0.121977
"Guillaume Raoux"	0.121459
"Jan-Michael Gambill"	0.120731
"Richard Krajicek"	0.120633
"Bohdan Ulihrach"	0.12063
"Marcelo Rios"	0.120257
"Alex O'Brien"	0.120194
"Juan Carlos Ferrero"	0.120183
"Mark Woodforde"	0.119784
Huskers	0.119745
"Yevgeny Kafelnikov"	0.119691
Woodruff	0.119655
"Amanda Coetzer"	0.119644
"American Andre Agassi"	0.119312
Klim	0.119264
"Tara Snyder"	0.11923
Fiedler	0.118763
"Nicolas Lapentti"	0.1183
"Greg Rusedski"	0.118213
"Neville Godwin"	0.118171
"Peter Nicol"	0.118143
"Bjorn Borg"	0.118121
"Daniel Nestor"	0.118079
"Jimmy Connors"	0.117925
"Alex Corretja"	0.117892
Elli	0.117855
"Nicole Pratt"	0.117689
"Natasha Zvereva"	0.117593
"Olga Barabanschikova"	0.117585
"Andrea Gaudenzi"	0.117529
"River Plate"	0.117504
"Magnus Larsson"	0.117447
"Serena Williams"	0.11705
"Kim Clijsters"	0.116814
Kasparov	0.116623
"Patty Schnyder"	0.116583
"Jim Courier"	0.116468
"Mia Audina"	0.116464
"Grant Stafford"	0.116435
Wilander	0.11609
"Andre Agassi"	0.116019
"Barbara Schett"	0.115886
"Monica Seles"	0.115614
Karpov	0.115582
"Taufik Hidayat"	0.115496
Deportivo	0.115236
"Budi Santoso"	0.114906
Penarol	0.114883
"Yu Zhuocheng"	0.114715
"Michael Stich"	0.114529
Taufik	0.114513
"Davide Sanguinetti"	0.114419
"Simon Archer"	0.114082
"Chris Woodruff"	0.113212
"Briton Greg Rusedski"	0.113208
"Michael Tebbutt"	0.11299
"Jansher Khan"	0.112513
"Rodney Eyles"	0.11245
"Dominik Hrbaty"	0.112281
Chang	0.111918
Hawkeyes	0.111745
Vacek	0.111672
Ilie	0.111573
Spartak	0.111459
"Andres Gomez"	0.110758
Hoogenband	0.110562
Hendrawan	0.110429
Serena	0.110272
"Ma Lin"	0.109771
"Sjeng Schalken"	0.109765
Zamalek	0.109691
Celta	0.109466
"Slovak Republic"	0.109204
"Olympiakos Piraeus"	0.109174
"Nittany Lions"	0.109063
"Chicago Fire"	0.109055
"Anna Kournikova"	0.108851
"Marat Safin"	0.108597
"DON JOHNSON"	0.107946
gamecock	0.107853
"Ye Zhaoying"	0.107803
"Henrieta Nagyova"	0.107585
"Heryanto Arbi"	0.10711
Wolfpack	0.106835
"Nicklas Kulti"	0.106646
"Dong Jiong"	0.106592
"Paul Haarhuis"	0.106557
Bastia	0.106502
"Anne Kremer"	0.106501
Kashima	0.10649
"Els Callens"	0.106472
Palmeiras	0.105872
"Lindsay Davenport"	0.105515
Cornhusker	0.105113
"Petr Korda"	0.104654
"Los Angeles Galaxy"	0.104325
"Paola Suarez"	0.104111
"Dalian Wanda"	0.10407
Boilermakers	0.104022
"Ottawa Senators"	0.103825
"Guy Forget"	0.103788
Supersonics	0.103723
Hewitt	0.103445
Rosenborg	0.103339
"Florencia Labat"	0.103328
"Claudia Pechstein"	0.10302
Jonsson	0.102847
"Rainer Schuttler"	0.102682
"Guo Jingjing"	0.101909
Stolle	0.101885
"Ramon Delgado"	0.101508
Agassi	0.101329
"Scarlet Knights"	0.100783
"Kristie Boogert"	0.100665
"Mirjana Lucic"	0.100383
Freiburg	0.100345
Sooners	0.100096
))
(Berber (desc 1859.17) (sims
Hmong	0.144813
Maasai	0.142686
Breton	0.124401
"North African"	0.119357
BASQUE	0.115481
Bedouin	0.113249
Tibetan	0.106083
Hausa	0.105254
Khmer	0.103409
Kurd	0.0972617
Maori	0.0940553
Miao	0.0933909
Ijaw	0.0925471
Kashmiri	0.0925199
Javanese	0.0902256
Zhuang	0.0899998
Aztec	0.088732
Kurdish	0.0842845
Catalan	0.0838105
Navajo	0.082575
"Eastern European"	0.0822858
Latvian	0.0809639
"Cuban Americans"	0.0798398
Shang	0.0795128
Sioux	0.0795076
Acadian	0.0791924
"Far Eastern"	0.0784739
"Albanian Kosovars"	0.0779445
Germanic	0.0770424
Ingush	0.0753343
Ecuadorean	0.0752591
"Middle Eastern"	0.0752401
Makah	0.0742412
Inuit	0.0726797
Zulu	0.071132
Uygur	0.0706673
Kosovar	0.0704901
Sinhala	0.0692668
Inca	0.0692259
Armenian	0.0685928
"Central Asian"	0.0682397
"Southern Democrats"	0.0674407
"Puerto Rican"	0.0671114
Iroquois	0.06708
Yoruba	0.0670542
Okinawan	0.0669469
Bengali	0.0667186
"French Canadian"	0.0664609
Polynesian	0.0661873
Hopi	0.0658061
Azeri	0.0645843
"Suva Reka"	0.064531
"South Asian"	0.0642458
Cyrus	0.0639006
"West African"	0.063884
Mohawk	0.0636854
CHEROKEE	0.0631645
Athenian	0.0630244
Yiddish	0.0621449
"American Jewish"	0.0620106
Lithuanians	0.0618783
Eskimo	0.06098
Amazonian	0.0601849
techie	0.0601564
Pueblo	0.0597617
"Southeast Asian"	0.0593776
Drenica	0.0591763
Kyrgyz	0.0589123
Hani	0.0585239
"North Carolinian"	0.0579834
"East Timorese"	0.0577576
Italian-American	0.0569015
"East African"	0.0568506
"Israeli Arab"	0.0564027
Mayan	0.0556356
Coptic	0.0556088
"Central American"	0.055448
Estonian	0.0551331
Provencal	0.0549389
"native American"	0.0540239
Latvians	0.0539345
Fijian	0.0539232
Icelandic	0.0538604
shag	0.0535603
Samara	0.0534336
Montenegrin	0.0534097
Uzbek	0.0531785
Gypsy	0.0530219
Chianti	0.0529658
Mexican-American	0.0528558
beachside	0.0527829
Kiswahili	0.0524604
mariachi	0.0520393
Ukrainian	0.0520034
Chechen	0.0518967
Muscovite	0.0518816
Kazak	0.0518307
Sephardic	0.0516519
Balkan	0.0515379
Kaliningrad	0.0514337
Decani	0.0514092
Ivorian	0.0513207
Tigray	0.0508845
"East Asian"	0.050803
"Orthodox Jewish"	0.0507568
"bag of tricks"	0.0507383
Chinese-Indonesians	0.0502248
Malay	0.0497402
herder	0.0495836
"more than ten"	0.049561
Slovak	0.0494692
calypso	0.0493649
Scottish	0.0492011
Flemish	0.0490338
"Stone Age"	0.0489879
"South Vietnamese"	0.0486193
Banyamulenge	0.0483417
sherpa	0.0482772
Guthridge	0.0481699
Seminole	0.0481264
"Sephardic Jews"	0.04809
Timorese	0.0480822
Hui	0.0480203
merengue	0.0478793
"North Africans"	0.0478674
"other @@@"	0.0476254
"Kosovar Albanian"	0.0472463
Afrikaans	0.0469971
"Hispanic American"	0.046949
Belacevac	0.0468747
Han	0.0467928
Welsh	0.0467697
Maya	0.0467106
Catskill	0.0465508
"flag waving"	0.0462276
"African American"	0.0457683
Tutsi	0.0455942
Bekaa	0.0453366
Wilton	0.0452011
lemming	0.0450572
rom	0.0448321
Armenians	0.0448155
Slavic	0.0447679
Appalachian	0.0446673
"other eight"	0.0445428
needlepoint	0.0443411
Rajshahi	0.0440361
"Israeli Arabs"	0.0435984
Alsace	0.0433683
Hawaiian	0.0429977
"Sheikh Ahmed Yassin"	0.0429455
"Sunni Muslim"	0.0425296
"department employee"	0.0424922
Hasidic	0.0424211
Maltese	0.0424052
pygmy	0.0423625
Druse	0.0423467
Panamanian	0.0423443
"Albanian Kosovo Liberation Army"	0.0423338
Bhutanese	0.0423143
Roma	0.0422942
"Irish Catholic"	0.0420812
lakeside	0.0420103
"East Java"	0.0419945
Swahili	0.0419316
craftspeople	0.0419074
Londoner	0.0417104
ultra-Orthodox	0.0416313
Savoy	0.0414723
Moldovan	0.0414333
Thirty-six	0.0413611
"day laborer"	0.0413584
Zapatista	0.0413005
autoworkers	0.0411797
Asian-American	0.0411272
"Badminton Association of Indonesia"	0.041081
Puglia	0.0410151
Ecuadoreans	0.0407379
Ottoman	0.0406451
"Western European"	0.0405323
Ukranian	0.0403643
minstrel	0.0402511
Cuban-Americans	0.0402471
"North Ossetia"	0.0402158
Nicaraguan	0.0400794
))
(Bere (desc 1158.48) (sims
Petkovsek	0.27788
Hentgen	0.23121
Rusch	0.227037
Dempster	0.226829
Trachsel	0.223594
Tapani	0.223117
Lieber	0.216337
Hermanson	0.215517
Astacio	0.212759
Mahomes	0.210232
Pavano	0.208101
D'Amico	0.205712
"Chris Carpenter"	0.195995
"Jesus Sanchez"	0.195883
"Jeff Weaver"	0.186631
Burkett	0.186054
"Russ Ortiz"	0.185445
Harnisch	0.185344
"Eric Milton"	0.184914
Schourek	0.184226
Ankiel	0.183546
Bottenfield	0.182528
Daal	0.180001
Moehler	0.179827
Radke	0.179013
Remlinger	0.178823
"Brian Rose"	0.178621
"Jon Lieber"	0.17821
"Jason Bere"	0.176957
Mlicki	0.175623
Nagy	0.175429
Yoshii	0.174739
"Brian Moehler"	0.174723
Rueter	0.173845
Kile	0.173301
Suppan	0.170642
Halama	0.165979
"Javier Vazquez"	0.164913
"Mike Sirotka"	0.163754
Navarro	0.162637
"Woody Williams"	0.161227
Checo	0.161035
"Jamey Wright"	0.160464
Olivares	0.158897
"Kirk Rueter"	0.158632
Bohanon	0.157703
Candiotti	0.157057
Mercker	0.156695
Reynoso	0.155525
Burba	0.154752
Herges	0.153581
"Paul Shuey"	0.152735
Benes	0.1521
Eldred	0.151743
Cloude	0.150781
"BRIAN MEADOWS"	0.150067
Schoeneweis	0.149706
"Francisco Cordova"	0.149393
Millwood	0.149264
Pulsipher	0.148959
Heredia	0.14863
"John Snyder"	0.148326
Tomko	0.148287
Hasegawa	0.145235
"Dustin Hermanson"	0.145126
estes	0.143961
Cordova	0.143672
"Paul Abbott"	0.143573
"Bryce Florie"	0.14309
Glavine	0.142479
"STEVE WOODARD"	0.142392
Parris	0.141794
Osuna	0.141535
McDOWELL	0.140979
Dreifort	0.140943
Loaiza	0.140797
Sele	0.140328
Moyer	0.139595
Hudek	0.138705
"Gil Heredia"	0.13847
Mulholland	0.137868
"Steve Parris"	0.137385
Rapp	0.136949
"Russ Springer"	0.136779
"Mark Gardner"	0.136623
"Brad Radke"	0.135773
Mussina	0.135672
Arrojo	0.135324
Perisho	0.134336
"Dan Miceli"	0.133332
"Jim Parque"	0.132742
Meche	0.132655
Cormier	0.13233
Ortiz	0.131835
"Scott Erickson"	0.131816
"Shawn Estes"	0.13168
Grimsley	0.130234
Percival	0.130112
"Jose Jimenez"	0.129507
"Mark Portugal"	0.128304
"John Burkett"	0.128272
"Jamie Moyer"	0.127834
"Brian Anderson"	0.127633
Elarton	0.127408
"Paul Byrd"	0.126982
"Jason Schmidt"	0.126703
"Steve Sparks"	0.126247
Wasdin	0.12559
"Jason Christiansen"	0.125541
"Kevin Tapani"	0.125275
"Ramon Ortiz"	0.125061
Haynes	0.124424
Leiter	0.123883
Helling	0.123786
Dickson	0.123502
Mantei	0.123444
"Pedro Astacio"	0.123024
Belcher	0.122848
"Byung-Hyun Kim"	0.122601
Meadows	0.122592
Garces	0.122581
Fassero	0.121875
Etherton	0.121858
"Rick Aguilera"	0.121002
Saberhagen	0.120922
"Matt Mantei"	0.120759
"Rich Rodriguez"	0.120669
"Brian Bohanon"	0.119937
"Dave Mlicki"	0.119749
Borbon	0.119672
"Damion Easley"	0.119443
"first pitcher"	0.118743
"Sean Bergman"	0.118688
"Matt Franco"	0.118443
Vazquez	0.118283
"Scott Sullivan"	0.118162
"Danny Graves"	0.117974
"Dave Burba"	0.117818
Washburn	0.11732
"Tim Hudson"	0.117219
"Ron Villone"	0.117029
Gagne	0.116435
Stottlemyre	0.116217
"Mark Kotsay"	0.115823
"Andy Benes"	0.115535
"Armando Reynoso"	0.115368
"Robb Nen"	0.115235
Contreras	0.11423
Wickman	0.113967
"Heathcliff Slocumb"	0.113714
Masaoka	0.11336
Hershiser	0.113151
"Rick White"	0.113025
Neagle	0.112742
"Tim Belcher"	0.112683
"Pat Rapp"	0.112351
"Kevin Appier"	0.112307
"Terry Mulholland"	0.112247
"Bob Wickman"	0.112025
Woodard	0.111909
"Ryan Dempster"	0.111626
"Jay Powell"	0.111408
"Jose Mesa"	0.110708
"Brett Tomko"	0.110539
"Jeff Nelson"	0.110181
fetter	0.110144
"Pete Harnisch"	0.110076
"Mike Mussina"	0.109723
"Ellis Burks"	0.108857
Isringhausen	0.10882
"Kazuhiro Sasaki"	0.108794
Dotel	0.108672
Wakefield	0.10867
Nunez	0.108409
"DOUG JONES"	0.107716
"Wilson Alvarez"	0.107612
"Mark Petkovsek"	0.106826
"Mike Remlinger"	0.106508
Lankford	0.106427
Batista	0.105812
"Mac Suzuki"	0.105428
"Darren Dreifort"	0.105422
"Alan Embree"	0.105108
"Sidney Ponson"	0.105072
"Masato Yoshii"	0.104851
"Pat Hentgen"	0.10476
"Shigetoshi Hasegawa"	0.104487
Smoltz	0.104253
"Mark Clark"	0.104024
Gooden	0.103949
"Todd Jones"	0.103828
"Ryan Glynn"	0.103605
Zito	0.102794
Appier	0.102781
Irabu	0.102742
"Chris Holt"	0.102668
"Randy Myers"	0.102588
"Matt Morris"	0.102515
"Turk Wendell"	0.102421
Valdes	0.102415
Escobar	0.102378
"Mike Stanton"	0.102301
"Brad Penny"	0.102101
Baldwin	0.102097
"Scott Radinsky"	0.102079
"Kent Bottenfield"	0.101999
"Arnaud Di Pasquale"	0.101995
Redman	0.101749
"John Wetteland"	0.101151
"Shane Reynolds"	0.100979
"Ricky Bottalico"	0.100508
Guzman	0.10026
))
(bereavement (desc 1848.16) (sims
maternity	0.103195
grief	0.0843347
childcare	0.0802952
heartbreak	0.0782208
"mental health"	0.0769517
"substance abuse"	0.0717041
sorrow	0.0694012
roundtrip	0.0676862
loneliness	0.0658526
anguish	0.0641953
togetherness	0.0636019
unreality	0.0632101
outpatient	0.0632011
ignominy	0.0621466
paternity	0.0593029
bewilderment	0.0568484
dislocation	0.055792
heartache	0.0557854
"crop failure"	0.0556878
Wellness	0.0548972
domesticity	0.0545688
frailty	0.054369
powerlessness	0.0541128
IDD	0.0532447
"alcohol abuse"	0.0517909
dispossession	0.0517607
wholeness	0.0509117
exhilaration	0.050555
"data processing"	0.0501354
alienation	0.0494725
counterterrorism	0.0492167
"civic pride"	0.0486832
vastness	0.0486508
socialization	0.0475677
helplessness	0.0467174
amazement	0.0463805
Christmases	0.0462466
disorientation	0.0454799
hilarity	0.0449099
comeuppance	0.0442412
"preventive medicine"	0.0435312
lunacy	0.0431656
treachery	0.0431003
"social insurance"	0.0428917
companionship	0.042634
estrangement	0.0421212
walk-up	0.0420871
Priceline	0.0418371
rapture	0.0414005
"nursing care"	0.0412983
brownfields	0.0412318
hypothermia	0.0409402
adoration	0.0404915
levity	0.0403617
matrimony	0.0403413
victimhood	0.0402944
desolation	0.0400357
))
(Berenson (desc 2634.18) (sims
Faulder	0.217398
Garza	0.213246
LeFave	0.211106
Echegaray	0.209669
Pollard	0.195813
Hofer	0.178933
Sheinbein	0.176315
Abernathy	0.1762
Kiareldeen	0.175983
Gauthe	0.175285
Gotti	0.174679
Soliah	0.172401
Mikhailov	0.171648
Agca	0.17092
Manbar	0.170148
Trantino	0.167397
Robison	0.166247
Karbaschi	0.16569
Stayner	0.163254
Abu-Jamal	0.16292
Nikitin	0.162818
Mease	0.161999
Fortier	0.161482
Priebke	0.160868
Papon	0.158726
Blackthorne	0.158219
"Maturino Resendiz"	0.154977
"Louise Woodward"	0.154744
Farber	0.154717
Vasquez	0.154558
McGinn	0.154406
Lacresha	0.152649
Capano	0.152183
Skakel	0.151594
Contreras	0.151035
Montiel	0.15022
Markhasev	0.149055
Hsia	0.148961
Yoo	0.148684
Sebaggala	0.148031
Kodikian	0.14793
Boesak	0.147714
"Russell Peeler"	0.146612
Copeland	0.1457
Laudor	0.142785
Bowers	0.142643
Sheppard	0.142613
Fagan	0.142032
Noriega	0.141961
Goldstein	0.141473
Alves	0.140628
Khalil	0.140588
Einhorn	0.14034
Sakic	0.138768
McDougal	0.137948
Pirro	0.137781
Imperatori	0.137505
Falater	0.137316
McKinney	0.136594
Symington	0.136431
Deri	0.13521
Mehmet	0.134865
Valenzuela	0.134361
Hirschfeld	0.134204
KEVORKIAN	0.134193
Cisneros	0.133982
Livoti	0.133783
Akayesu	0.132986
Jelisic	0.132983
peeler	0.132843
Grossberg	0.132742
Schmitz	0.131544
Neulander	0.131059
Karr	0.130854
leeson	0.130375
Nasrin	0.129593
"Raul Salinas"	0.129135
Nichols	0.129044
Hanna	0.128199
Boyle	0.127992
Kaczynski	0.127473
Woodward	0.127347
Shipman	0.127327
Faget	0.127301
Lileikis	0.126628
Trie	0.126521
Dowd	0.126316
Haouari	0.126149
Adair	0.125679
Beckwith	0.125173
Schweitzer	0.125168
Hinckley	0.124849
hale	0.124552
McDuff	0.123953
Lazarenko	0.123505
Craxi	0.123444
Olson	0.123281
Nathaniel	0.122934
Mcbride	0.122912
Kaunda	0.122363
Farris	0.121626
Cheung	0.121416
Schwarz	0.121356
Nunez	0.121238
McVeigh	0.121156
Carruth	0.120982
Goldberg	0.120704
Dorismond	0.120192
Kagalovsky	0.119861
Shulman	0.119377
Mapes	0.119262
Merritt	0.1191
Wiggins	0.118975
Zamora	0.11867
Suarez	0.11865
Kurtz	0.118458
Huang	0.118267
Gutman	0.118209
Ramirez	0.117836
Woodson	0.117797
Tarver	0.117388
Kurth	0.117077
Mitnick	0.116917
Menchu	0.116427
Haughey	0.116206
Hiett	0.116162
Barrionuevo	0.115907
"Michael Skakel"	0.115545
Ackerman	0.115522
Whitacre	0.1155
Jenoff	0.115498
Moceanu	0.114843
Bakaly	0.114198
Bhutto	0.113699
Reimer	0.113442
Ramsey	0.113272
Graham	0.113037
DeFrantz	0.112886
Garofalo	0.112827
Winkler	0.112685
Anwar	0.112465
Cheng	0.112288
workman	0.112149
Siripongs	0.111981
Kambanda	0.11188
xu	0.111516
Hage	0.111124
Hatfield	0.110941
Baumhammers	0.11087
Romanowski	0.110679
Cruz	0.110508
Hamlin	0.110406
Moscoso	0.110302
"Jonathan Pollard"	0.110145
Espy	0.109887
Salinas	0.109565
Swango	0.109315
McWilliams	0.109294
Martorano	0.109069
Brock	0.108998
Rosenthal	0.108929
Ocalan	0.108889
Merlino	0.108806
Daniels	0.108491
Babitsky	0.108387
Beathard	0.108315
Vogel	0.108274
Rashid	0.10817
Lipstadt	0.107679
Abram	0.107052
furrow	0.106927
Hagen	0.106777
Borodin	0.10634
Adkins	0.106212
Hoffmann	0.106059
Ganga	0.105872
Figueroa	0.105772
Shayler	0.105257
Kern	0.10521
Hubbell	0.105085
Flores	0.104726
Krasniqi	0.104376
Steele	0.104367
Gurule	0.104109
Joklik	0.103844
Lin	0.103673
Keating	0.103649
Kimes	0.103559
Conroy	0.103385
Pippig	0.10325
Cusack	0.103123
Chukwu	0.103049
Lim	0.103009
Swenson	0.102879
Berlusconi	0.102751
Sharma	0.10271
McDermott	0.102688
Mohamed	0.102522
Virenque	0.102182
Diaz	0.102056
Hamid	0.10195
Ntakirutimana	0.101917
Ng	0.101885
Babbitt	0.101831
Jewell	0.101741
Morrison	0.101625
Cline	0.101554
Prewitt	0.10089
Ibrahim	0.100882
Henley	0.100849
Mudge	0.100508
"El Hage"	0.100456
Stoneman	0.10009
Donohue	0.100056
))
(beret (desc 9979.39) (sims
"cowboy hat"	0.186094
"baseball cap"	0.183782
sweatshirt	0.177315
"ski mask"	0.16603
hat	0.165951
sweater	0.163685
"leather jacket"	0.163107
sunglasses	0.157816
bandanna	0.155937
vest	0.155319
jumpsuit	0.153519
jacket	0.152919
cardigan	0.149726
"pants suit"	0.149263
tunic	0.148877
scarf	0.148384
"blue jean"	0.14238
"polo shirt"	0.14236
pant	0.141882
"straw hat"	0.141632
"hot pants"	0.137827
"sweat pants"	0.137728
windbreaker	0.137488
trouser	0.137417
"cowboy boot"	0.137174
"business suit"	0.136743
skirt	0.135316
shirt	0.134541
"bow tie"	0.133201
turban	0.133062
"hard hat"	0.132237
pullover	0.132117
fedora	0.131912
helmet	0.131025
tights	0.130502
"trench coat"	0.129876
coat	0.129866
jean	0.129373
robe	0.128593
overcoat	0.127548
sandal	0.127143
headband	0.126985
bluejeans	0.12665
sock	0.124865
raincoat	0.12416
turtleneck	0.12402
smock	0.123393
"combat boot"	0.122993
waistcoat	0.122302
"bulletproof vest"	0.122122
T-shirt	0.121278
Poncho	0.120445
"top hat"	0.119537
knickers	0.119489
legging	0.118498
bandana	0.118411
suspender	0.117895
boot	0.117432
wig	0.117132
sneaker	0.116939
bikini	0.116291
gown	0.114593
blouse	0.114217
dress	0.113944
armband	0.113637
blazer	0.113384
"bathing suit"	0.113205
uniform	0.112738
slack	0.112674
shawl	0.109149
miniskirt	0.108843
cap	0.108543
khaki	0.107629
"feather boa"	0.107466
mustache	0.106747
parka	0.106493
miniskirts	0.105269
jersey	0.105138
shoe	0.104705
undershirt	0.104387
apron	0.104051
pantsuit	0.103917
"cocktail dress"	0.103807
Beard	0.102458
tuxedo	0.102305
bellbottoms	0.102108
headdress	0.101693
"rubber boot"	0.101377
corduroy	0.100742
sideburn	0.100527
"sports jacket"	0.100235
mask	0.10005
goatee	0.0996959
necktie	0.0992543
"military uniform"	0.0990845
pajama	0.0988142
underwear	0.0987371
coverall	0.0984509
"life jacket"	0.0983875
halter	0.0983379
corset	0.0980335
"dark glasses"	0.0960367
"sport shirt"	0.0955219
goggles	0.0953116
bra	0.0942078
"dress uniform"	0.0941601
"fur coat"	0.094028
kilt	0.0926984
loafer	0.0923846
"nail polish"	0.0922705
earring	0.0916528
sarong	0.0907247
pants	0.0902874
Cape	0.0902852
garb	0.0902581
lipstick	0.0897619
"tennis shoe"	0.0897415
bustier	0.0894541
"belt buckle"	0.0892068
"evening gown"	0.0889325
Bonnet	0.0882128
"mink coat"	0.0868565
mitten	0.0862795
insignia	0.0862535
eyeliner	0.0855498
loincloth	0.0854909
"boxing glove"	0.0853463
Chino	0.0850079
visor	0.0849431
slipper	0.0847308
capris	0.084725
headgear	0.0841915
bathrobe	0.0833445
Sash	0.0831667
handbag	0.0829957
Pantsuits	0.0829341
moccasin	0.0825914
"bowler hat"	0.0825212
"black tie"	0.0824947
skullcap	0.0822934
moustache	0.0819565
backpack	0.0818776
swimsuit	0.0818251
camouflage	0.0816579
velvet	0.0813851
trousers	0.0801898
"felt hat"	0.0799311
bodice	0.0799235
cloth	0.0795219
slacks	0.0792541
glove	0.0786028
pajamas	0.0778176
wristband	0.0775174
denim	0.0774541
pinstripes	0.0774358
Sari	0.0767298
camisole	0.0767
collar	0.0763551
cloak	0.0763044
badge	0.0762311
hair	0.0761891
necklace	0.0761693
slicker	0.0758105
attire	0.0753438
stocking	0.0751647
plainclothes	0.075111
satin	0.0749502
knapsack	0.0740067
suede	0.0737438
eyeshadow	0.0732646
Outfit	0.0732576
yarmulke	0.0731805
caftan	0.0729409
"dress shirt"	0.072901
duster	0.0726623
"evening dress"	0.0726586
purple	0.0722315
underpants	0.0721289
tux	0.0717846
sleeve	0.0717029
braid	0.0715079
STETSON	0.0711321
hairpiece	0.0710608
Afro	0.0708828
regalia	0.0706563
leotards	0.0703429
stripe	0.0700903
haircut	0.0697762
kimono	0.0696914
lingerie	0.0692557
Clothing	0.0690851
fatigues	0.0689043
"life vest"	0.0683233
choker	0.0680539
sheath	0.0677551
bracelet	0.0676204
"Star of David"	0.0667152
handkerchief	0.0664935
ponytail	0.0661324
frock	0.0661018
))
(Beretta (desc 1216.21) (sims
Glock	0.241284
"Smith &AMP; Wesson"	0.155478
Uzi	0.142898
browning	0.126446
Wesson	0.110857
Magnum	0.104759
calibre	0.0813078
Denel	0.0736956
NIC	0.0625775
"Abbott Laboratories"	0.0623764
DC-@	0.062206
flack	0.0613822
carbine	0.0552107
AMT	0.0546056
revolver	0.0539205
"limited edition"	0.0538921
Jett	0.0503268
Carlsberg	0.0499543
Northpoint	0.0497599
Embraer	0.0497423
Agusta	0.049689
cannister	0.0493357
Cha	0.0493126
LeBlanc	0.0483397
AK-@@	0.0479584
"Liz Claiborne"	0.046511
M-@@	0.0459124
M@@	0.0456752
"Pacific Bell"	0.0452601
Lind	0.0450092
Taurus	0.044922
Ratner	0.0445877
"little hand"	0.044552
Ftorek	0.0445046
"Warner-Lambert Co."	0.0439949
adidas	0.0438922
bombardier	0.0435124
Magaziner	0.0432909
Longo	0.0431281
"Eric Moulds"	0.0429126
Hsieh	0.0427481
hough	0.0426853
Brazill	0.042125
"Wyeth-Ayerst Laboratories"	0.0420319
"exhaust system"	0.0416091
Hakim	0.0412297
"transit authority"	0.0409783
Omnipoint	0.0405157
Maharaj	0.0403896
shoplifter	0.0403721
"Publishers Clearing House"	0.0403627
Warshaw	0.0402501
Schering	0.0402377
BNFL	0.0400252
))
(Berezovsky (desc 7074.97) (sims
"Boris Berezovsky"	0.163352
Chubais	0.143579
Grachev	0.111497
Weizman	0.107329
Lazarenko	0.101706
Vasile	0.0979746
Rodionov	0.0969777
Luzhkov	0.0958939
Cavallo	0.0955987
Gusinsky	0.0954195
Skuratov	0.0942101
Borodin	0.0933915
Ruehe	0.090952
Suharto	0.0904156
Berlusconi	0.0898021
Bulatovic	0.0891715
Maslyukov	0.0889515
Kaunda	0.0883715
Primakov	0.0874814
Lebed	0.0868373
Stepashin	0.0863883
Yazdi	0.0863649
Mordechai	0.086148
Mikhailov	0.0850145
Montesinos	0.0848191
Berisha	0.0847844
Zadornov	0.0846517
Ganga	0.083831
Laden	0.0823543
Warshaw	0.0823489
Meciar	0.0820387
Yastrzhembsky	0.0810795
Faget	0.08096
Gullit	0.0804326
Shayler	0.0803792
Karbaschi	0.0798672
Kiriyenko	0.0797934
Zhirinovsky	0.0791378
Maskhadov	0.0790252
Draskovic	0.078934
Blatter	0.0788727
Murdoch	0.0785499
"Boris Nemtsov"	0.0782477
Anwar	0.0782294
Seleznyov	0.0775378
Stroyev	0.0773863
Zuma	0.0768017
Gosper	0.0764884
Putin	0.0762577
Yeltsin	0.076137
Villanueva	0.0760926
Musharraf	0.0759554
Fraga	0.0758164
Farrakhan	0.0757427
Ibrahim	0.0756287
Hariri	0.0747507
Milutinovic	0.0746106
"Al Fayed"	0.0745807
Peres	0.0745744
Prabowo	0.0744968
Kromah	0.0744438
Hodler	0.0743905
Thaci	0.0741972
Lukashenko	0.0740819
Havelange	0.0737758
Djindjic	0.0736161
Kimes	0.0734602
Soros	0.0732319
Poplasen	0.0728927
Nouri	0.0725909
Raduyev	0.0725256
Trimble	0.072435
Nebiolo	0.0718431
Ressam	0.0716113
Salim	0.0714736
Khamenei	0.0712604
Krajisnik	0.0711834
Ruthardt	0.0707932
Symington	0.0707441
Strauss-Kahn	0.0705142
Mukora	0.0702938
"Raul Salinas"	0.0702091
Coelho	0.0701619
oligarch	0.0701191
Tudjman	0.0700087
Basayev	0.0700044
Demaci	0.0699666
Krasniqi	0.0699033
Frankel	0.0698772
Hoddle	0.0697046
Yadav	0.0696931
Djukanovic	0.0695976
Koch	0.0694498
Haider	0.0692903
Ritter	0.0692626
Khatami	0.0690808
Speight	0.0690738
Katsav	0.0689473
Sanan	0.0688892
Ovitz	0.0687668
Megret	0.0685544
Milosevic	0.068468
Cardoso	0.0684633
Chernomyrdin	0.0684201
"Sam Rainsy"	0.0683571
Romer	0.0682701
Sankoh	0.0681785
Sharpton	0.0681119
D'Amato	0.0679896
Kazhegeldin	0.0679691
Mohajerani	0.0678472
Sharif	0.0676424
Al-Amin	0.0674392
Lundberg	0.0674233
Duisenberg	0.0671038
silber	0.0670535
Menem	0.0669509
Nkabinde	0.0668455
Feldman	0.0668109
Drabinsky	0.0666894
Lari	0.0666271
Imperatori	0.0665753
Zacarias	0.066453
Ferguson	0.0663565
Samaranch	0.0660519
Wahid	0.0658147
Safir	0.0658052
Mokhehle	0.065739
Merlino	0.0656396
Guei	0.0656138
Nemtsov	0.0655736
BJP	0.0654883
"Bin Laden"	0.0654728
McGuinness	0.0654127
Abiola	0.0653439
Kulikov	0.0653341
Ciampi	0.0649799
Hanley	0.0649688
Velayati	0.0649469
Rossello	0.0648615
Chevenement	0.0647862
Nyerere	0.0645757
Neulander	0.0644754
Fischer	0.0642722
Ahtisaari	0.0642524
Erbakan	0.064218
Tarawneh	0.0641823
Holl	0.0640368
Bhutto	0.0639458
Kohl	0.063895
Karadzic	0.0638926
Goldberg	0.0637648
Cheney	0.0636758
Catacosinos	0.0636631
"Sergei Stepashin"	0.0633714
Alatas	0.0633705
Cha	0.063336
"Ruiz Massieu"	0.0631998
Meehan	0.0631931
Mori	0.0631903
Waigel	0.0631848
Coles	0.0631408
Kopp	0.0629524
Elhage	0.0629498
Mahuad	0.0629415
Gritz	0.0629297
Vieira	0.06289
"Silvio Berlusconi"	0.0626651
Bragman	0.0626359
Zyuganov	0.0623867
Vialli	0.0623141
Castro	0.062293
Masire	0.0621688
Spyridon	0.0620698
Nano	0.0619147
Buffett	0.0619134
Engler	0.061817
Noboa	0.0617903
Cisneros	0.0617846
Mobutu	0.0617353
Marcos	0.0616462
"Faisal Husseini"	0.0615977
Kaczynski	0.0615842
Lafontaine	0.0615478
Mugabe	0.0615012
Klein	0.0614787
Banzer	0.0614047
Soares	0.0613809
Wiranto	0.0613114
Aoki	0.0612946
"defense lawyers"	0.0611411
Mandelson	0.0609263
Gingrich	0.0607814
Scharping	0.0607471
"Yuri Maslyukov"	0.060699
Madrazo	0.0606899
GRUNFELD	0.060688
Orban	0.0606384
Juppe	0.0606153
Estrada	0.0605433
))
(Berg (desc 7819.39) (sims
Stravinsky	0.109552
Prokofiev	0.102893
Bartok	0.0942618
Debussy	0.0909864
Messiaen	0.0907609
Webern	0.0888366
Schoenberg	0.0825158
Ravel	0.0793878
Bronson	0.0784511
Bach	0.0774909
"Richard Strauss"	0.0757124
Sobel	0.0755539
DiCicco	0.0749097
Salinger	0.0743727
Jaffe	0.0729277
Hurley	0.072771
Rosenthal	0.0721497
Franz	0.0718383
D'Alessandro	0.0715888
Nolan	0.0711678
Bloch	0.0702951
REEVE	0.0699672
Epstein	0.0694982
Wolff	0.0689004
Kahn	0.0680372
Weil	0.0679924
Jeffers	0.0672513
Wolfe	0.0668911
Vogel	0.0667974
Hartley	0.0664446
Levin	0.0658823
Drew	0.0657463
Harr	0.0653873
Woodard	0.0653232
Grossman	0.0649425
Hardy	0.0648779
Rosenberg	0.0646891
Duchesne	0.0645804
Lowry	0.0644154
Levine	0.0641486
Hahn	0.0639242
Kidder	0.0638271
Pollack	0.0636013
Schaeffer	0.0635828
Sheedy	0.0633495
Davies	0.0633402
Brock	0.0632567
Berenson	0.0632364
Rutherford	0.0630092
Zuckerman	0.0629638
Shulman	0.0628281
Guralnick	0.0627255
Nilsson	0.0627103
Sullivan	0.0625006
Copland	0.0622085
Kelley	0.0620632
Hickman	0.0619681
Gillespie	0.0618018
Morris	0.0616446
Pfeiffer	0.0616347
Laudrup	0.061517
Ellis	0.0614196
Barad	0.0613795
Saunders	0.0610925
Graziani	0.0609557
O'Donnell	0.0609198
Conroy	0.0608933
Maynard	0.0608312
Weiner	0.0607621
MALICK	0.0607126
Finley	0.0604314
Mitchell	0.0604256
Trujillo	0.0603097
Flores	0.0603073
Pierson	0.0600609
COYNE	0.0598677
Shapiro	0.0598339
Canseco	0.0597513
Barrett	0.0597314
O'Leary	0.0594652
Atwood	0.0592581
Gimelstob	0.0591627
Popovich	0.0590587
Wiggins	0.059042
Cornwell	0.0589133
DiSarcina	0.05889
Macdonald	0.0587749
Olson	0.0585721
Wohlers	0.058512
Clancy	0.0584927
Beltre	0.0584915
Richards	0.0584533
Goldstein	0.0584148
Andersen	0.0583422
Steele	0.0583258
Talebi	0.0583067
Hoffman	0.0579745
Kaplan	0.0579625
Molinari	0.0579609
Henley	0.0579516
Hanley	0.0579171
Stoneman	0.057717
Edmondson	0.0575684
drake	0.0575575
Neely	0.0575428
Kodikian	0.0575215
Bowman	0.0574377
weir	0.0572886
Healy	0.0572829
Carmichael	0.0571807
fuller	0.0571414
Nicholson	0.0570304
Holmgren	0.0569286
Mann	0.0567424
Friedman	0.0567133
Stevens	0.0565854
Keller	0.0565185
Henderson	0.0564743
Henning	0.0564464
Myers	0.0564271
Brenner	0.0564231
Bonilla	0.0562713
Griffin	0.0561475
Daniels	0.0561244
Blake	0.056108
DeBerg	0.0560592
Dunston	0.0560118
Clooney	0.0560089
Northup	0.0558957
Wadsworth	0.055847
Kline	0.0556947
McPherson	0.0556479
Broek	0.055611
Mason	0.0555306
Nichols	0.0554371
Mustafa	0.0554312
Barber	0.0553322
Morton	0.0553292
Mendelssohn	0.0553121
Copeland	0.055297
Fuhr	0.0552461
Meissner	0.0551089
Hamlin	0.0550311
Barlow	0.0549499
Wasserstein	0.0549434
Morse	0.0549407
Manheim	0.0548836
Meyers	0.0547992
Rubenstein	0.0547488
Goldberg	0.0547413
Weinberg	0.0547227
Ainge	0.0546142
Schourek	0.0545826
Midler	0.0545278
Dempsey	0.054502
Cline	0.0543208
Naipaul	0.0542751
Mahoney	0.0542406
Edson	0.0542355
Lindros	0.0541542
Ferguson	0.0541472
Galloway	0.0540764
Gaston	0.0540382
Dunham	0.0540376
Scruggs	0.0538995
Larson	0.0538964
Linden	0.0538726
Cleary	0.0537928
Vogts	0.0537295
Eaton	0.0536728
Halberstam	0.0534537
Carroll	0.0534328
Beethoven	0.053356
Adler	0.0533128
Leetch	0.0533071
Calloway	0.0532261
Slater	0.0531993
Patten	0.0530639
Blount	0.0529602
Flutie	0.0528777
Leyritz	0.0528329
Lieberthal	0.0527759
Matthews	0.0527754
Camacho	0.0527679
Gifford	0.0527621
Rowe	0.052715
O'Neil	0.052669
McDonald	0.0526492
Palmer	0.0526308
Wright	0.0525719
Amato	0.0525647
McDyess	0.0525186
Gregory	0.0524894
Dion	0.0524556
Niedermayer	0.0524108
Schiff	0.0523827
Haynes	0.0523559
Belcher	0.0522184
Greer	0.052207
McCartney	0.0521312
))
("Bergdorf Goodman" (desc 2731.84) (sims
"Saks Fifth Avenue"	0.232646
"Neiman Marcus"	0.216073
Barneys	0.199844
Bloomingdale's	0.199381
Nordstrom	0.191124
Saks	0.174392
"Lord &AMP; Taylor"	0.166395
"Barneys New York"	0.162625
Macy	0.14412
Williams-Sonoma	0.123377
"Betsey Johnson"	0.0963143
"farmer's market"	0.0798103
Dillard	0.0699149
Neiman	0.0684127
Tiffany	0.0663235
HERMES	0.0649333
Kmart	0.0639689
Sears	0.0635443
Gucci	0.0632421
"Federated Department Stores"	0.0607884
"specialty store"	0.060698
Lancome	0.0605137
Clothier	0.0581149
CompUSA	0.0558694
"J.C. Penney"	0.0556119
"Home Depot"	0.0539739
"clothing store"	0.0531291
"Ralph Lauren"	0.0530048
"San Francisco Museum of Modern Art"	0.0529772
Chanel	0.0527632
"British Museum"	0.0513955
Filene	0.0501888
"Securities Industry Association"	0.0491216
"Solomon R. Guggenheim Museum"	0.047947
Sotheby's	0.0477707
"Borders Books"	0.0472228
REI	0.0451232
"Yves Saint Laurent"	0.0450995
Armani	0.0445181
"Office Depot"	0.0443639
"Association for Relations Across"	0.0437882
Gump	0.0428807
"Barnes &AMP; Noble"	0.0426992
"Metropolitan Museum"	0.0425789
"National Abortion and Reproductive Rights Action League"	0.0421009
"discount store"	0.0420481
"chain store"	0.0418931
"Plaza Hotel"	0.0418837
"Museum of Natural History"	0.0416252
"Pottery Barn"	0.0414155
Ferragamo	0.0410072
"American Jewish Committee"	0.0409286
))
(Bergen (desc 3658.89) (sims
Passaic	0.210253
Sussex	0.190054
Somerset	0.148047
Monmouth	0.129851
Middlesex	0.124695
Essex	0.123426
"Sussex County"	0.11177
Camden	0.106416
Tapachula	0.105929
Zhangbei	0.102168
Burlington	0.100413
"Bergen County"	0.100381
Christchurch	0.098509
"San Pedro Sula"	0.0964378
Bulawayo	0.0955797
Clifton	0.0943456
Chatham	0.0937121
Alameda	0.0923647
"Port Elizabeth"	0.0915507
"San Luis Obispo"	0.0914129
Hillsborough	0.088804
Westchester	0.0877595
Trondheim	0.0863911
Gloucester	0.0862571
PALERMO	0.0840275
"East Orange"	0.0833552
Peshawar	0.0816379
Lijiang	0.0812994
Casas	0.0809574
Erie	0.0801433
Ghent	0.0800746
Cumberland	0.0800106
"San Bernardino"	0.0795115
"Monmouth County"	0.0792781
Cebu	0.079156
Fairfield	0.0787378
Antalya	0.0786734
Oslo	0.0785512
"Quebec City"	0.0785249
Englewood	0.078493
Bayonne	0.0784068
Dushanbe	0.0780599
Fresno	0.077797
Mendocino	0.0776642
"San Mateo"	0.077654
"Santa Barbara"	0.0773254
Windhoek	0.0767805
Naples	0.0766324
"Egyptian capital"	0.0758071
Murmansk	0.075279
Miami-Dade	0.0747404
Sidon	0.074732
"Santa Cruz"	0.074629
Cairns	0.0739479
Yichang	0.0736673
"CHIANG MAI"	0.0735901
Vientiane	0.0734041
"San Salvador"	0.0733416
Davao	0.0730855
Utica	0.0725529
"Essex County"	0.0725359
Leavenworth	0.0724415
Karlsruhe	0.0722926
Mosul	0.0721894
Clearwater	0.0720805
Vladivostok	0.0715747
Cayuga	0.0714859
Rockland	0.0714353
Qufu	0.0714179
Cartagena	0.0713593
Broward	0.0711776
Paterson	0.0711389
Juba	0.0706732
Novosibirsk	0.0703976
Cochabamba	0.0703013
Morris	0.0702771
Schenectady	0.0701968
Gwinnett	0.0701937
Kuching	0.0700643
Stamford	0.0700222
Lhokseumawe	0.0700215
Goteborg	0.0697196
Weifang	0.069597
Napa	0.0693051
Zamboanga	0.0692234
Krakow	0.0690477
Najaf	0.0685518
riverside	0.0682944
Guadalajara	0.0682815
Gaborone	0.0679132
Ensenada	0.0677978
Taba	0.0677886
Suva	0.0677489
Nago	0.0676465
Accra	0.067419
Acapulco	0.0673011
BASEL	0.0672478
"Santo Domingo"	0.0667196
Alma-Ata	0.066719
CARACAS	0.0666846
Nagoya	0.0664137
Ndola	0.0663618
Shiraz	0.0657886
Salzburg	0.065671
Urosevac	0.0655172
Jericho	0.0654416
Asuncion	0.065361
Wilmington	0.0650351
Utrecht	0.0649031
Macon	0.0648363
Kisumu	0.0647521
Sapporo	0.0647275
Alexandria	0.0646958
Turin	0.0646089
Chester	0.0645855
Nassau	0.064563
"Chiang Rai"	0.0644148
Chennai	0.0644044
Valparaiso	0.0643875
Duesseldorf	0.0643469
Durban	0.0641224
Lucerne	0.0639906
Fairfax	0.0638999
Norfolk	0.0638818
"Ciudad Juarez"	0.0638639
Kandy	0.063846
Medina	0.0638371
"West Orange"	0.063829
Helsinki	0.0636861
Munich	0.0636388
Edinburgh	0.0635328
"Cape Town"	0.0634103
Suffolk	0.0632604
Morristown	0.0632504
Lahore	0.0630699
Brownsville	0.0627795
Aswan	0.0627709
Naperville	0.0626199
Oneida	0.0625892
"Banja Luka"	0.0623849
Montgomery	0.0622445
Langkawi	0.0621487
Eugene	0.062004
Isfahan	0.0619605
Marin	0.0617111
Jeddah	0.0616636
Ashkhabad	0.061518
Shreveport	0.0613525
Lausanne	0.061252
Sparta	0.0611469
Brunswick	0.0610568
"Del Rio"	0.0610404
Florence	0.0610103
Trieste	0.061001
Cali	0.0608853
Nakuru	0.0608161
Albuquerque	0.0607421
Monterey	0.0606854
Montclair	0.0606645
"Fort Lee"	0.0606256
Huntsville	0.0606066
Saida	0.0604933
Copenhagen	0.0603097
Jalalabad	0.0603092
BLANTYRE	0.0602713
Madrid	0.0602467
Weimar	0.0602342
Sirte	0.060229
Rabat	0.0601897
Aachen	0.0601245
"Santa Rosa"	0.0599826
Bloomfield	0.0599114
Wildwood	0.0598669
Zurich	0.0598512
Seneca	0.0598015
"Washington D.C."	0.0596797
Krasnoyarsk	0.0596697
Albany	0.0596405
TEGUCIGALPA	0.0595786
Honolulu	0.0594831
Yogyakarta	0.0594775
Maastricht	0.0593591
state-level	0.0593459
"Santa Clara"	0.0592695
Santiago	0.0591839
Zhangzhou	0.0591189
Datong	0.0590708
Luoyang	0.0588161
Rutherford	0.0587049
Subic	0.0586532
Essen	0.0585287
STOCKHOLM	0.0585053
LAKEWOOD	0.0584456
MONTEVIDEO	0.0581527
Dortmund	0.0580387
Nanchang	0.0579433
Basle	0.0578505
Mashhad	0.0578431
Medan	0.0577607
Fulton	0.0577335
))
("Bergen County" (desc 2525.84) (sims
"Monmouth County"	0.275201
"Essex County"	0.245347
"Warren County"	0.172885
Montclair	0.153144
Hackensack	0.146349
"East Orange"	0.142909
"Fayette County"	0.141678
"Jefferson County"	0.140966
"Albany County"	0.140766
Ridgewood	0.140624
Morristown	0.140438
"Dallas County"	0.13954
"Fort Lee"	0.138036
Camden	0.135093
"Erie County"	0.134295
"Monroe County"	0.130804
"Williamson County"	0.125454
"Johnson County"	0.125377
"Marin County"	0.125034
"Westchester County"	0.123274
"Jackson County"	0.122836
"Dutchess County"	0.120934
Irvington	0.119956
"Rockland County"	0.119821
"Montgomery County"	0.119294
"Suffolk County"	0.117346
"King County"	0.114506
"Jasper County"	0.113216
"West Orange"	0.112129
"Maricopa County"	0.111579
"Sussex County"	0.110189
Chatham	0.10953
"Cook County"	0.108943
"Rockdale County"	0.106093
"Cherry Hill"	0.103803
"Santa Clara County"	0.102647
"Highland Park"	0.10257
"San Diego County"	0.102485
TRENTON	0.101984
"Flagler County"	0.101925
Riverdale	0.101513
"Harris County"	0.101178
Bergen	0.100381
"Orange County"	0.09941
Westfield	0.099192
"Fulton County"	0.0988333
Bridgewater	0.0980554
Secaucus	0.0972801
Middlesex	0.0972058
"Tarrant County"	0.095948
"Madison County"	0.0955487
Englewood	0.09492
"Cobb County"	0.0947325
LAKEWOOD	0.0943159
"Nassau County"	0.0942369
Rockdale	0.0928185
Somerset	0.0911801
"Broward County"	0.090895
"Overland Park"	0.0902155
Linden	0.0901634
Wildwood	0.089232
Bronx	0.0883399
"Palm Beach County"	0.08828
Lawrenceville	0.0880667
"Travis County"	0.0864202
"Riverside County"	0.08632
Paterson	0.0840791
"DeKalb County"	0.0838021
"TOMS RIVER"	0.0832772
Stamford	0.083019
"Dade County"	0.0815002
"Mill Valley"	0.0812938
"Fort Dix"	0.0812902
Newark	0.0810328
Scarsdale	0.08071
Bridgeport	0.0802966
"Putnam County"	0.0797579
Bloomfield	0.0788177
"Miami Valley"	0.0784655
"East Texas"	0.0784542
Sparta	0.0782069
"Pitt County"	0.0780764
Somerville	0.0779669
"Gwinnett County"	0.0778158
Passaic	0.0776571
Framingham	0.0766002
"Sonoma County"	0.076365
"Los Angeles County"	0.0753059
"New London"	0.0752241
"North Hollywood"	0.0746187
Clifton	0.0741417
"Delray Beach"	0.0739795
Lubbock	0.0739525
Rockland	0.0734826
Westchester	0.0731484
Hillsborough	0.0720805
"New Haven"	0.0719605
Marjayoun	0.0718508
"Israeli Arab"	0.0715976
Okinawan	0.07156
Holyoke	0.07141
Mannheim	0.0713282
Tarrytown	0.0712024
Northland	0.0710968
MBNA	0.0709705
Darien	0.0705643
Middletown	0.0703903
Driven	0.0701815
Jasper	0.0700889
"South Texas"	0.0700178
Metroplex	0.0697577
Brentwood	0.0695684
Haicheng	0.0695101
Trincomalee	0.0694982
"San Mateo"	0.0694236
PALERMO	0.068898
Encino	0.0688373
"Ventura County"	0.0685069
Albuquerque	0.0683773
"Round Rock"	0.0683476
ASHEVILLE	0.0683309
"San Fernando Valley"	0.0682235
"Union City"	0.0681351
Williamstown	0.0680216
riverside	0.0679596
"El Paso"	0.0679461
"Hollywood Hills"	0.0676387
"Fort Lauderdale"	0.0675633
Medford	0.0672377
Korean-American	0.0670925
Randolph	0.066961
"Florida Panhandle"	0.0667443
Hoboken	0.0662564
Dubuque	0.0661297
Winston-Salem	0.0657971
"Santa Monica"	0.06552
Astoria	0.0654108
"Fairfield County"	0.0654015
"securities industry"	0.0651745
"Boca Raton"	0.0650519
"South Bronx"	0.0648874
"Ocean City"	0.0644979
Americus	0.0644387
ARCADIA	0.0644361
"Bay Area"	0.0643401
Bayonne	0.0635646
Redding	0.0634926
Macon	0.0634691
Brownsville	0.0634426
Lynchburg	0.0629928
"Jefferson City"	0.0629781
"Jersey City"	0.0629733
"Miami-Dade County"	0.0628443
Rutherford	0.062821
"Woodland Hills"	0.0627391
"Northern California"	0.0626368
Scranton	0.0626149
"Long Island"	0.0625854
Modesto	0.062555
Windham	0.0622289
Roxbury	0.0620913
Essex	0.0618424
"Staten Island"	0.061333
Malden	0.060798
midland	0.0600068
"New Canaan"	0.059846
"Virginia Beach"	0.0597161
Rochester	0.0596749
"Long Beach"	0.0595442
Salem	0.059543
Lakeland	0.0594832
"Atlantic City"	0.059445
Hartford	0.0594344
Beaumont	0.0593377
Plano	0.0593267
"Northern Virginia"	0.0592001
Springfield	0.0591416
Fulton	0.059141
Hawthorne	0.0589445
Sussex	0.0589048
"Van Nuys"	0.0586717
"New Rochelle"	0.0586191
ADM	0.0585324
"Walnut Creek"	0.0584744
Ojai	0.0584419
Tucson	0.0584261
Fresno	0.0583986
"White Plains"	0.0583279
Harlingen	0.0579157
Gloucester	0.0576141
Decatur	0.0574917
Kensington	0.0574855
"Lower Saxony"	0.0574507
Fairfield	0.0573399
Hillsboro	0.0573192
oceanside	0.0572835
Martinsville	0.0572084
"Fairfax County"	0.0569407
Nassau	0.0568737
Falmouth	0.0567133
))
(Berger (desc 10069.6) (sims
Barshefsky	0.155145
Ivanov	0.154584
McCurry	0.153895
"Sandy Berger"	0.153199
"National Security Adviser Sandy Berger"	0.149942
Shelton	0.143777
Rubin	0.142682
Lockhart	0.141991
Cohen	0.141787
Albright	0.14168
Siazon	0.140565
"Samuel Berger"	0.137887
Solana	0.137539
Talbott	0.135302
Sergeyev	0.129871
Vedrine	0.129188
Dini	0.124799
Kharrazi	0.120959
Kissinger	0.119179
Ruehe	0.11822
Wolfson	0.117778
Jayakumar	0.117691
Lott	0.117627
Babbitt	0.117302
Moussa	0.116287
Tsang	0.115883
Blair	0.114776
Greenspan	0.114492
Ruff	0.113816
Kinkel	0.113789
Kasoulides	0.113261
Daschle	0.111855
Holbrooke	0.111354
Klima	0.110861
Pickering	0.110652
McCaffrey	0.110269
Prewitt	0.109493
Chretien	0.109137
Fischer	0.10911
Kennard	0.108712
Nzo	0.108569
Qian	0.108265
Bolger	0.108022
Cem	0.107732
Axworthy	0.107691
Velayati	0.107333
Chirac	0.106837
Aziz	0.10622
Prodi	0.105378
"Zbigniew Brzezinski"	0.105261
Zhu	0.105062
Safir	0.104728
Blumenthal	0.104585
Rossello	0.103986
Goldin	0.103088
Daley	0.102803
Primakov	0.102737
Freeh	0.10239
Menem	0.10195
Weizman	0.101852
Ahern	0.10138
Tung	0.101308
Piot	0.101245
Singson	0.100728
Meguid	0.100482
Nasrallah	0.10025
Meles	0.100228
Goh	0.100144
Podesta	0.0994846
Ritter	0.0994026
Allchin	0.0991341
Schmalensee	0.0990704
Luong	0.0989815
Annan	0.0989142
Aguirre	0.0987742
Samaranch	0.0987056
Jovanovic	0.0977993
"William Cohen"	0.0973447
Guterres	0.0973353
Hu	0.096953
Advani	0.0967049
Zedillo	0.0961637
Gephardt	0.0959836
Qiao	0.0955154
Hess	0.0953191
tang	0.0952037
"de Charette"	0.0950945
Rodionov	0.0950568
Indyk	0.0947004
"Robert Rubin"	0.0946074
Hashimoto	0.0944854
Robertson	0.0944516
Valenti	0.0944275
D'Alema	0.0944015
Sakakibara	0.0941226
Hersh	0.0939635
Richardson	0.0937105
Eizenstat	0.093682
Glickman	0.0935082
Kono	0.0932935
Tagliabue	0.0930215
Shalala	0.0927448
Hodler	0.0926263
Jiang	0.0925082
Kaplan	0.0923637
Reno	0.0921155
Sharpton	0.0920834
Klestil	0.091744
"Anthony Lake"	0.0914769
Mbeki	0.0913821
Arafat	0.0913066
Shi	0.0908318
Alatas	0.0903987
Sullivan	0.0903984
Colburn	0.090065
Abdel-Meguid	0.0899617
Diouf	0.089947
Patten	0.0898945
Ross	0.0896887
Shareh	0.0896294
Leghari	0.089623
Ecevit	0.0893317
Rosen	0.0893249
Lipponen	0.0889242
Mandela	0.0888987
Condit	0.0888318
Saleh	0.0887427
Ickes	0.0887183
Milutinovic	0.0885474
Ikeda	0.0884585
Husseini	0.0884248
Bettman	0.0882891
Mubarak	0.0882881
Shipley	0.0882121
Maslyukov	0.0880104
Mkapa	0.0879963
"Javier Solana"	0.0875025
Zou	0.0875014
Fleischer	0.0870139
LaPierre	0.0869731
Demaci	0.0867621
Kabariti	0.0866367
Koskinen	0.0865554
Obuchi	0.0865228
Zuma	0.086217
Insulza	0.086123
Yeltsin	0.0861174
Zadornov	0.0860093
Mowlam	0.085975
Moratinos	0.0859026
Kok	0.0858778
Mordechai	0.0857928
Eisner	0.0855166
Brundtland	0.0855139
"Lawrence Summers"	0.085491
Quackenbush	0.0854765
Peres	0.0853876
Estrada	0.0853748
Kyprianou	0.085366
Majali	0.0853538
Steinberg	0.0853504
Patel	0.0851966
Simitis	0.0850258
Phieu	0.0849697
"Defense William Cohen"	0.0848481
Seleznyov	0.0847959
Putin	0.0844038
Kohl	0.084388
"John Paul"	0.0843391
Kuchma	0.0842975
Chen	0.0842908
Hybl	0.0842439
Ruthardt	0.0842187
Wahid	0.0841228
Chubais	0.0837992
Barr	0.083779
"William S. Cohen"	0.0837426
Netanyahu	0.0836495
Kasyanov	0.0835987
Khatami	0.0835759
Downer	0.0835219
Mahathir	0.0834789
Nujoma	0.0834572
Lieberman	0.0833943
Clark	0.0833334
Schwartz	0.0832584
Shamshad	0.0831973
MIYAZAWA	0.0830941
Vajpayee	0.0830531
Rugova	0.0828926
Sharon	0.0828692
Komura	0.0825768
Malan	0.0825184
Hauser	0.082489
"Secretary General Esmat Abdul-Meguid"	0.0821341
Maritz	0.0820188
Stoyanov	0.0819357
Stepashin	0.0819307
Bellamy	0.0819126
Li	0.081713
))
(Bergeron (desc 1125.4) (sims
"Rondell White"	0.200156
Cirillo	0.184702
grieve	0.183268
Rolen	0.180522
Vidro	0.175801
"Derrek Lee"	0.171628
Randa	0.168372
"Mark Loretta"	0.166639
Easley	0.166337
Abreu	0.16603
Fullmer	0.162727
Renteria	0.160863
"Mark Kotsay"	0.160284
"Matt Lawton"	0.156328
Hatteberg	0.155883
Bautista	0.155387
Hybl	0.150048
"Matt Franco"	0.148487
"Warren Morris"	0.147928
Bordick	0.146341
Skiles	0.14575
Beltran	0.144651
"Carlos Lee"	0.143049
"Alex Gonzalez"	0.139863
Stinnett	0.13942
Finkel	0.138593
Saenz	0.13818
"Damian Miller"	0.137748
Tatis	0.137744
"Neifi Perez"	0.136835
"Kelly Stinnett"	0.136277
"Bengie Molina"	0.135937
"Preston Wilson"	0.135221
Vizquel	0.134845
"Sandy Alomar"	0.134459
Burnitz	0.134155
Alicea	0.133672
Lankford	0.133522
Catalanotto	0.132921
"Eric Owens"	0.132702
"Russ Johnson"	0.131824
"Jose Guillen"	0.131659
Velarde	0.131281
"Vladimir Guerrero"	0.131128
Goossen	0.131092
Konerko	0.130719
Weisman	0.12931
"Jeff Conine"	0.129236
Frye	0.128939
"Marvin Benard"	0.128776
Rubenstein	0.128093
"Bobby Abreu"	0.127706
Grudzielanek	0.127371
Kapler	0.127164
"Marquis Grissom"	0.126746
"Mickey Morandini"	0.12587
Giambi	0.125265
"Ray Durham"	0.124335
"Dante Bichette"	0.124068
Klesko	0.123563
Dunston	0.123513
Meissner	0.122937
"John Vander Wal"	0.122759
"Scott Spiezio"	0.12169
"Bobby Higginson"	0.121513
Nevin	0.12133
Cordero	0.121093
"Paul Konerko"	0.120772
Womack	0.120478
Ganassi	0.120464
"Dmitri Young"	0.120362
Erstad	0.120214
"Joe Randa"	0.120064
"Tim Bogar"	0.120008
Varitek	0.119948
Castilla	0.119149
Gant	0.118843
"Ruben Rivera"	0.118567
"Adam Kennedy"	0.118296
Surhoff	0.118173
Aurilia	0.118075
"Bill Mueller"	0.11796
Sexson	0.117933
"Tony Batista"	0.117747
"Geoff Jenkins"	0.117595
"Mark Grace"	0.117521
Carollo	0.117017
"Travis Lee"	0.116929
"Mike Cameron"	0.116861
Elster	0.116613
Glaus	0.116438
"Luis Castillo"	0.116415
Spiers	0.116347
Lofton	0.116195
Burks	0.116109
"Damian Jackson"	0.116104
"Cliff Floyd"	0.115991
Mora	0.11586
"Jose Vidro"	0.115707
"Dean Palmer"	0.115346
Lieberthal	0.11518
Nickerson	0.114948
"Miguel Tejada"	0.114923
DeShields	0.114532
"Todd Walker"	0.114185
McGriff	0.114005
"Benny Agbayani"	0.113797
Ulrich	0.113761
"Pokey Reese"	0.113641
Sobel	0.113261
Silverstein	0.113207
Batista	0.113027
Karros	0.112569
Passarella	0.112404
"Orlando Palmeiro"	0.111793
Higginson	0.111775
Bragg	0.111732
"Eric Karros"	0.111316
Cummings	0.11131
"Juan Encarnacion"	0.111112
Bustamante	0.110226
"Eric Chavez"	0.109975
"Royce Clayton"	0.109884
"David Ortiz"	0.109653
Valenti	0.109428
Agbayani	0.109378
Cabrera	0.109272
Bichette	0.109249
"Darryl Hamilton"	0.109051
"Lenny Harris"	0.108961
"Johnny Damon"	0.108735
"Tony Womack"	0.108712
"Brian Giles"	0.108574
"Joe McEwing"	0.108407
"Bruce Aven"	0.108357
"Pat Meares"	0.108158
Biggio	0.108108
"Doug Glanville"	0.10791
"Kevin Jordan"	0.107842
"Mike Lieberthal"	0.10771
Huskey	0.107698
Segui	0.10752
"Marty Cordova"	0.107438
"Luis Alicea"	0.107041
"J.T Snow"	0.106922
Ausmus	0.106832
Brandt	0.106743
Goodwin	0.106501
"Jose Valentin"	0.106478
Fleischer	0.106442
"Deivi Cruz"	0.10638
"David Bell"	0.106112
Hollins	0.106061
Lugo	0.105887
"Dan Wilson"	0.105474
Molina	0.105469
"Tony Eusebio"	0.105431
Cowan	0.105152
"Keith Lockhart"	0.105127
"Troy Glaus"	0.105
"Paul Bako"	0.104961
"Dave Martinez"	0.104672
Alfonzo	0.104353
McCurry	0.10434
"Rey Sanchez"	0.10423
"Todd Pratt"	0.10413
Larkin	0.104043
Mayne	0.103948
Wolfson	0.103793
"Melvin Mora"	0.103773
Brosius	0.10371
"Glenallen Hill"	0.103518
"De la Cruz"	0.103265
Copeland	0.103219
Baerga	0.103174
"Mark Grudzielanek"	0.103136
Schuerholz	0.103088
"Eddie Taubensee"	0.103078
Zeile	0.103033
Sprague	0.103024
McLemore	0.10297
Gullikson	0.102853
"Scott Rolen"	0.102736
"Richard Hidalgo"	0.102602
Ordonez	0.102551
Duffy	0.10255
"Lee Stevens"	0.102427
"Jose Hernandez"	0.102161
"Fernando Tatis"	0.101959
"Luis Gonzalez"	0.101923
Veras	0.101822
singleton	0.101666
"Tim Salmon"	0.101642
"Wally Joyner"	0.101597
Polian	0.101314
"Fernando Vina"	0.10125
"Ricky Gutierrez"	0.101187
Reiner	0.100952
Heinrichs	0.10091
"Kevin Young"	0.100909
"Ron Coomer"	0.100795
D'Alessandro	0.100785
Ledee	0.100667
Barros	0.100635
Sojo	0.100545
"Jeff Bagwell"	0.100529
Rothenberg	0.100387
"Jim Thome"	0.100297
Alomar	0.100296
"Jeff Kent"	0.100223
Kearin	0.10009
Olerud	0.100058
))
(Bergkamp (desc 2806.65) (sims
"Dennis Bergkamp"	0.212016
Andreychuk	0.157434
"Emmanuel Petit"	0.147334
Kluivert	0.146075
Djorkaeff	0.144557
"Marc Overmars"	0.143737
"Patrick Kluivert"	0.141328
"Phillip Cocu"	0.14083
Vieri	0.132021
Romario	0.130885
Suker	0.125587
Ronaldo	0.122716
Bebeto	0.120828
Bierhoff	0.1207
Baggio	0.11898
Audette	0.116462
Zidane	0.116398
"Clarence Seedorf"	0.113092
Langenbrunner	0.111395
Stumpel	0.107515
Batistuta	0.107061
Niedermayer	0.104992
Gorter	0.103743
"Kristine Lilly"	0.103093
"Ronald de Boer"	0.101994
Shearer	0.101869
Woolley	0.101274
"Edgar Davids"	0.100827
Palffy	0.09788
Reichel	0.0973312
"Patrick Vieira"	0.097088
"Luis Figo"	0.0970343
Lacroix	0.0966072
"Paul Gascoigne"	0.0953546
Nedved	0.095333
Laudrup	0.0952208
Fizer	0.0949828
"Tore Andre Flo"	0.0948696
"Ian Wright"	0.0946125
Hendrickson	0.0945546
Fedorov	0.0943285
"Tony Adams"	0.0936765
"Cesar Sampaio"	0.0934639
"Harry Kewell"	0.0933364
Juninho	0.0932576
Roenick	0.0932342
Gascoigne	0.0930812
LeClair	0.0926459
"Steve McManaman"	0.0922926
"Ben Olsen"	0.0917159
McInnis	0.0917143
Sydor	0.0916501
Sehorn	0.0907843
"Mauricio Ramos"	0.0903266
Polgar	0.0902386
Sykora	0.0899961
Bure	0.0896769
Petit	0.089635
Denilson	0.089467
Wynalda	0.0891335
Schalken	0.0886839
Akers	0.0881959
"Thomas Haessler"	0.0881685
Cienfuegos	0.0877078
Mullin	0.0874751
Lassiter	0.0866929
Rucchin	0.0866041
Recchi	0.0862171
"Davor Suker"	0.0862059
Sissi	0.086181
Robitaille	0.0861742
Zambrano	0.0859906
"Paul Scholes"	0.0855535
Asprilla	0.0851837
Kovalev	0.0848837
"Zinedine Zidane"	0.0847518
Maradona	0.0841377
"Hidetoshi Nakata"	0.0840139
"Nwankwo Kanu"	0.0839597
Milbrett	0.0837037
"Thierry Henry"	0.083623
"Teddy Sheringham"	0.0836004
"Joe-Max Moore"	0.0834166
"Robert Pires"	0.0833513
"Del Piero"	0.0833173
Hagi	0.0831391
Brunell	0.083042
"Robbie Fowler"	0.0830158
Nieuwendyk	0.0828889
"Frank de Boer"	0.0828689
hermosillo	0.0827782
Vialli	0.0827072
"Roy Keane"	0.0825363
Barrie	0.0824388
Smolinski	0.082238
Anelka	0.0822102
"Fredrik Olausson"	0.0821618
Lindros	0.0818345
Jonsson	0.0816383
Drury	0.0814446
Giovanni	0.0811762
Johansson	0.0811153
Jagr	0.0806097
Baba	0.0804789
Zubov	0.0804116
Modano	0.0799248
Elias	0.0796148
"Joe Nieuwendyk"	0.0795653
"Michael Owen"	0.0791922
Matthaeus	0.0791767
Warne	0.0791163
Mcbride	0.0790882
Graziani	0.0790151
"Gheorghe Hagi"	0.0788673
"Christophe Dugarry"	0.0786641
Verbeek	0.0785903
"Michelle Akers"	0.0785873
Nicol	0.0785658
"Hao Haidong"	0.0784813
Ince	0.0782954
Tocchet	0.0778095
Blake	0.0775073
"Michael Laudrup"	0.0772718
Gadzuric	0.077228
"David Beckham"	0.0769517
Welton	0.0755744
"Dejan Savicevic"	0.0755576
"Youri Djorkaeff"	0.075469
Baerga	0.0754609
Jair	0.0754408
Moeller	0.0754099
Savarese	0.0752735
Fiedler	0.0750471
McKenna	0.0749191
"Christian Vieri"	0.0748629
Sampaio	0.0748485
"David Trezeguet"	0.0747582
Ortega	0.0745604
"Nicolas Anelka"	0.0745234
Turgeon	0.0745184
"Roberto Carlos"	0.0742885
Hoch	0.0741558
"Hristo Stoichkov"	0.0738549
"Predrag Mijatovic"	0.073796
D'Amico	0.0736555
Kamensky	0.0736298
"Brian McBride"	0.0735776
Hejduk	0.0733855
"Brett Hull"	0.0733553
Carbonneau	0.0732607
Zamorano	0.073238
"Carson Palmer"	0.0731428
MacLean	0.0730966
"Guy Carbonneau"	0.07305
Gatling	0.0728103
Olajuwon	0.0727859
Tverdovsky	0.0726776
Holik	0.0725652
Hatcher	0.0724253
"Gabriel Batistuta"	0.0724247
Weatherspoon	0.0723958
Klinsmann	0.0723316
Forsberg	0.0722754
Hecht	0.0720807
Beckham	0.0718441
Timms	0.0718293
Lehtinen	0.0716802
Artest	0.0709051
Lafleur	0.0707975
Ricci	0.0706721
"Mia Hamm"	0.0706305
Cronin	0.0705195
Rivaldo	0.0703864
Selanne	0.0703366
Matvichuk	0.0703101
"David Seaman"	0.070117
"Dwight Yorke"	0.0697905
Burba	0.0697051
Langham	0.0696767
Cota	0.069468
"Paul Merson"	0.0692953
"Rob Blake"	0.069293
Samsonov	0.0692701
Herta	0.0691137
"Dejan Stankovic"	0.0690746
Devers	0.0690454
Owen	0.0686551
Inman	0.0686432
Fleury	0.0685809
"Andy Cole"	0.068568
Thuram	0.068474
Serna	0.0684494
Sakic	0.0684225
Edmundo	0.0683052
"Luis Hernandez"	0.0681481
Hurtado	0.0680284
"Marco Etcheverry"	0.0678238
Cortines	0.0678234
"Li Na"	0.0677938
Drummond	0.0677611
))
(Bergman (desc 6694.74) (sims
Trachsel	0.137788
Tapani	0.127946
Hermanson	0.126569
Dempster	0.124322
Fassero	0.118505
Rueter	0.117975
Lieber	0.117461
Radke	0.116785
Nagy	0.113637
Schourek	0.113504
Woodard	0.113479
Elarton	0.113077
Moehler	0.109858
Petkovsek	0.109528
Reynoso	0.108829
Bottenfield	0.108141
Haynes	0.108027
Moyer	0.107377
Pavano	0.105656
Bacall	0.105536
Bohanon	0.105142
Meadows	0.104647
Millwood	0.103573
Burkett	0.103281
Yoshii	0.102976
Mercker	0.1029
Saberhagen	0.102323
Tomko	0.101852
Harnisch	0.100166
Sele	0.0998193
Belcher	0.0996502
Dreifort	0.0958791
Kile	0.0958517
Burba	0.0952237
Reynolds	0.0951035
Mussina	0.0943332
Rapp	0.0941696
Mahomes	0.0938238
Parris	0.092747
Welles	0.0906622
Heredia	0.0903504
Erickson	0.0902764
Astacio	0.0900638
Hitchcock	0.0900327
Rusch	0.0900278
Hentgen	0.0886628
Bere	0.0885312
Daal	0.0880861
"Russ Ortiz"	0.0879456
Dickson	0.0877343
Hershiser	0.0868497
Loaiza	0.0866919
Stephenson	0.0863189
Wakefield	0.0857993
Benes	0.0856686
Hampton	0.0842608
Helling	0.0837332
Eldred	0.0835833
Leiter	0.0831464
Schoeneweis	0.0831026
Mlicki	0.0823968
Arrojo	0.0822086
D'Amico	0.0821479
Etherton	0.0817833
Halama	0.081737
Kurosawa	0.0816693
Neagle	0.0815973
Glavine	0.0812146
Gardner	0.0805499
Olivares	0.08046
Candiotti	0.080252
"Shane Reynolds"	0.079994
Baldwin	0.0799317
Vazquez	0.0799
Pettitte	0.0792224
Maddux	0.0789088
"Jon Lieber"	0.07889
Ankiel	0.0786985
Gagne	0.0784427
Remlinger	0.0784198
Greenwald	0.078219
Smoltz	0.0776605
Gooden	0.0771206
Judd	0.0771145
Appier	0.0771071
Washburn	0.0770433
Costner	0.0765973
Mantei	0.076063
Dotel	0.0759797
Wilder	0.0756208
Sayles	0.0755213
"Woody Williams"	0.0755047
Rosenthal	0.0752392
Irabu	0.0746778
Spielberg	0.0743211
"Brian Moehler"	0.0740113
Perisho	0.0738558
Lurie	0.0735826
Witt	0.073375
"Chris Carpenter"	0.0733349
Milton	0.0728688
Hamlin	0.0724741
Nomo	0.0722044
"Frank Capra"	0.0719062
Cloude	0.0713961
Suppan	0.0713284
Schmidt	0.0712026
Midler	0.0710696
"Gil Heredia"	0.0703463
Rivlin	0.0703376
Zimmerman	0.0701693
Ashby	0.0701247
Wendell	0.0700402
Schilling	0.0699279
lynch	0.0697091
Kubrick	0.069606
Osuna	0.0694307
"Sean Bergman"	0.0694099
"Eric Milton"	0.0685656
Truffaut	0.0682309
Crowe	0.0682193
Avery	0.0678333
"Javier Vazquez"	0.0677896
Wasdin	0.0675705
Currier	0.0674997
"Jason Bere"	0.0669758
Stottlemyre	0.0666941
Hepburn	0.0665274
Wagner	0.0664919
Stein	0.0662688
Samuelson	0.0662324
Rogers	0.0661404
Finley	0.0657421
"Jesus Sanchez"	0.0656331
Mulholland	0.065181
"Kirk Rueter"	0.0651729
"Mike Hampton"	0.0650527
"Chan Ho Park"	0.0646777
"Pedro Astacio"	0.0645401
"Kevin Millwood"	0.0644499
Menchu	0.0643686
Hickman	0.0641989
Soderbergh	0.0638953
estes	0.0638652
Pierson	0.0638267
Saunders	0.0638153
Marchand	0.0636509
Almodovar	0.0634068
Percival	0.0633208
Vogel	0.0631585
Abbott	0.0628186
Fellini	0.0627834
Coen	0.0627824
Leigh	0.0627567
Olson	0.0626701
"Billy Wagner"	0.0624969
Hartley	0.0624882
Pfeiffer	0.0624379
Benitez	0.0622991
Checo	0.062043
"Neil LaBute"	0.0618343
Wells	0.0617271
"Armando Reynoso"	0.0616347
Yarnall	0.0616101
Zapruder	0.0614603
Cone	0.0613737
Fiorina	0.0613548
Contreras	0.0611871
LaBute	0.0609093
Thurman	0.0606492
Rosenblatt	0.0606477
Valdes	0.0604697
Tilberis	0.0604642
"Mike Sirotka"	0.0603715
Castillo	0.0602915
"Brian Anderson"	0.0602887
Eastwood	0.0602659
"Dustin Hermanson"	0.0602438
"Bryce Florie"	0.0601254
Escobar	0.0600108
"Ingmar Bergman"	0.060002
Quintero	0.0599086
Hudek	0.0595727
Oliver	0.0595501
"Mark Gardner"	0.0592935
Betts	0.0592809
Hasegawa	0.059002
Holt	0.0589943
Carmichael	0.0588307
Herges	0.0588138
"BRIAN MEADOWS"	0.0587805
Pulsipher	0.0586982
Goldstein	0.0586976
Zellweger	0.058603
"Tim Wakefield"	0.0585698
"Paul Shuey"	0.0585218
Cordova	0.0584712
Kurtz	0.0584355
"Steve Parris"	0.0582412
"Stanley Kubrick"	0.0582272
))
(Beringer (desc 1166.05) (sims
Kendall-Jackson	0.13558
Gallo	0.111169
Petrofina	0.104064
AutoNation	0.0995197
"U.S. Trust"	0.0957459
Sonoma	0.0936262
XYLAN	0.0918732
Chris-Craft	0.0908668
"Napa Valley"	0.0904937
COLTEC	0.0902246
"Pacific Century"	0.0899364
RJR	0.08927
"HBO &AMP; Co."	0.0845952
VENATOR	0.0845102
Napa	0.0831363
Publicis	0.083071
VoiceStream	0.082747
Comsat	0.0822418
Starwood	0.0820014
Seagram	0.0815881
Ciena	0.0808755
ALZA	0.0792068
YPF	0.0787587
Seagate	0.0781738
"RJR Nabisco"	0.0770975
ENTERGY	0.0770858
Nabisco	0.0767924
Cerent	0.0749082
Pairgain	0.073836
Livent	0.0735483
TELLABS	0.0735253
"Sonoma County"	0.0732409
Aegon	0.0725855
"Fred Meyer"	0.0723033
ExciteAtHome	0.0716813
SDL	0.0713506
"Thermo Electron"	0.0711849
PolyGram	0.0707905
MiniMed	0.0703199
Georgia-Pacific	0.0698259
PLDT	0.0695779
"Chronicle Publishing"	0.0691811
McKesson	0.0687176
HomeGrocer.com	0.0683709
TCI	0.0680663
Akamai	0.066914
TYCO	0.0668568
"Atlantic Richfield"	0.0664396
Scientific-Atlanta	0.0664159
Tropicana	0.0661911
Fingerhut	0.0660395
Bestfoods	0.0659939
HBOC	0.0656289
Asda	0.0655183
AIG	0.0649837
Checkfree	0.0647771
NatWest	0.0647635
IDT	0.0643735
CCE	0.0642715
"Y&AMP;R"	0.0641375
Broadcast.com	0.0636386
Evian	0.0635471
"Learning Company"	0.0635435
"Times Co."	0.0632543
SmithKline	0.063208
Nextel	0.0631226
"Learning Co."	0.0630545
Avondale	0.0628999
Priceline	0.0626646
E-LOAN	0.0625127
"Union Carbide"	0.062502
"Liberty Media"	0.062189
NORTHROP	0.0616981
"Ben &AMP; Jerry"	0.0616047
Domino's	0.0615734
"P&AMP;G"	0.0613432
Gilead	0.0612917
"Monsanto Co."	0.0604581
Berkshire	0.0602313
Penney	0.0602148
REIT	0.0601331
Scania	0.060037
WebMD	0.0599684
"Whole Foods"	0.0596584
Sepracor	0.0596428
GPU	0.0594896
Mondavi	0.0593366
Scripps	0.0592061
Arista	0.0591516
Conoco	0.0587507
"Times Mirror"	0.0586772
Broadcom	0.0576863
"Waste Management"	0.0576282
NetZero	0.0576131
CMGI	0.0575964
CUC	0.0572416
MindSpring	0.0571688
Agilent	0.0570888
Williams-Sonoma	0.0570867
PRIMESTAR	0.0567509
"Pacific Lumber"	0.0567249
Copley	0.0567175
Qwest	0.0565765
"Tribune Co."	0.0564071
NCR	0.0561856
GeoCities	0.0557998
AMR	0.0556584
Ameritech	0.0556237
Cendant	0.0556151
Omnicom	0.0552745
DLC	0.0551838
Astra	0.0551081
Terra	0.0550279
Chiron	0.0549808
BCE	0.0549421
PEOPLESOFT	0.0548853
Clorox	0.0546197
"Boston Scientific"	0.0545724
Janis	0.0544084
GTE	0.0543891
Incyte	0.0541254
Healtheon	0.0540533
ARCO	0.0535785
"Global Crossing"	0.0531836
Roberds	0.0531693
"Frontier Corp."	0.0531035
CNET	0.0529549
STARMEDIA	0.0526907
Mediaone	0.0526504
AGL	0.0525504
McCaw	0.0524555
SCI	0.0523731
Diageo	0.0522884
UAM	0.0522534
CDnow	0.0522229
"Berkshire Hathaway"	0.0522014
Nortel	0.0520297
Intuit	0.0520174
"Johnson &AMP; Johnson"	0.0518653
Amoco	0.0517811
"Wells Fargo"	0.0514844
Tandy	0.0514793
"GTE Corp."	0.051402
ITT	0.0512834
Vivendi	0.0512155
Healtheon/WebMD	0.0512138
Airtouch	0.0511296
Mannesmann	0.0511202
RAMBUS	0.0510544
Contra	0.0508623
talisman	0.0506076
Hasbro	0.0503887
Amgen	0.0503517
Genentech	0.0502821
Infoseek	0.0501842
LTCB	0.0498063
GEC	0.0493958
"Telecom Italia"	0.0493377
eToys	0.04928
Dresdner	0.0492274
Heineken	0.0491432
Broderbund	0.048968
"America West Airlines"	0.0486856
REVLON	0.0484905
"Lotus Development Corp."	0.0484756
"Nippon Credit"	0.0483642
N@K	0.0482153
Saks	0.048145
Warner-Lambert	0.0481234
"Newport News"	0.0480304
Pitney	0.0479177
"Knight Ridder"	0.0478938
BankAmerica	0.0477738
WPP	0.0477637
Softbank	0.0476543
"US West"	0.0476517
"Bay Networks"	0.0475554
"U S West"	0.0474862
Weyerhaeuser	0.0473121
SAFY	0.0473094
AMP	0.0472645
"Rite Aid"	0.0469631
"Exxon Mobil"	0.0469341
WEF	0.0469278
Cablevision	0.0469083
Paxson	0.046885
"Stride Rite"	0.0468677
Ticketmaster	0.0467665
iXL	0.0467388
"Gap Inc."	0.0465289
Citron	0.0464882
Uunet	0.0464686
Tenneco	0.0463823
CMG	0.0463756
"Adobe Systems"	0.0463533
Stratus	0.04613
infinity	0.0461074
"Ameritech Corp."	0.0461019
"Airtouch Communications"	0.0458011
"Dell Computer"	0.0455104
))
(Berisha (desc 8405.71) (sims
Mugabe	0.151306
Rugova	0.150837
Kaunda	0.149099
Weizman	0.148056
"Sam Rainsy"	0.137614
Lazarenko	0.136569
Plavsic	0.135096
Maskhadov	0.131711
Sharif	0.129587
Djukanovic	0.129083
Nazarbayev	0.127342
"Hun Sen"	0.12652
"Fatos Nano"	0.124876
"Sali Berisha"	0.124755
Menem	0.12284
Kuchma	0.122453
Poplasen	0.121902
Ranariddh	0.121495
Obasanjo	0.119658
Hasina	0.119045
Khatami	0.11867
Savimbi	0.118266
Bhutto	0.118128
Rafsanjani	0.116784
Buyoya	0.115173
Draskovic	0.11508
Tudjman	0.115028
Moi	0.114798
Speight	0.114337
Deri	0.113703
Cardoso	0.113502
Lukashenko	0.113494
Chirac	0.113489
Suharto	0.113161
Kumaratunga	0.113157
Chissano	0.112892
Zeroual	0.112775
Megawati	0.112252
Rao	0.112136
Yeltsin	0.112135
Denktash	0.112132
Habibie	0.112025
"Le Pen"	0.111939
Pinochet	0.11172
Fujimori	0.111358
Bragman	0.110923
Rabbani	0.110848
Madrazo	0.110622
Djindjic	0.110607
Sankoh	0.109974
Dehaene	0.109833
Phieu	0.109784
Izetbegovic	0.109651
Khamenei	0.109091
Mandela	0.109017
Mordechai	0.108575
Chavalit	0.108381
Museveni	0.108211
Clerides	0.107921
Ecevit	0.107522
"Suu Kyi"	0.107246
Karadzic	0.107081
Demirel	0.107003
Chuan	0.106916
Diouf	0.106779
Anwar	0.106413
Estrada	0.10627
Chiluba	0.106235
Zedillo	0.106183
Hashimoto	0.105717
Gusinsky	0.105341
Koirala	0.105319
Ciller	0.105294
Chavez	0.104648
Rakhmonov	0.104522
Stephanopoulos	0.104165
Ramos	0.103888
Kohl	0.103814
Banharn	0.103723
Erbakan	0.103228
Nujoma	0.102954
Milosevic	0.102704
Gephardt	0.102553
"Speaker Ali Akbar Nateq-Nouri"	0.102515
Megret	0.102414
Kwasniewski	0.102212
Trimble	0.102051
Bouteflika	0.101954
Vasile	0.101592
Mbeki	0.101414
Soeharto	0.101188
Akayev	0.101128
Mobutu	0.100891
Pastrana	0.100827
Mahuad	0.100771
Haider	0.10033
Netanyahu	0.100158
Shevardnadze	0.0997236
"Necmettin Erbakan"	0.0995511
Renamo	0.0992059
Zou	0.0983982
Thaci	0.0983521
Aleman	0.0982866
Kostunica	0.0981587
Wahid	0.0980924
Nebiolo	0.0978606
"Aung San Suu Kyi"	0.0974852
"Atal Bihari Vajpayee"	0.0974574
Simitis	0.0972713
UNP	0.0969376
Zhirinovsky	0.0968721
Arafat	0.096694
Nano	0.0966573
Meciar	0.0965655
Chen	0.0963869
Scalfaro	0.0962313
Samper	0.0957254
"Khaleda Zia"	0.0952474
Ouattara	0.0951148
Hoffa	0.095089
Peres	0.0949825
"Binyamin Netanyahu"	0.0948817
Aznar	0.0946922
Karbaschi	0.0945045
Lafontaine	0.0944897
Abdel-Meguid	0.0944716
"Inkatha Freedom Party"	0.0942314
Schroeder	0.0941681
Blatter	0.0938796
Blair	0.0935241
"Benazir Bhutto"	0.0934136
"Dos Santos"	0.0933652
Berlusconi	0.0932036
Aidid	0.0930548
"Secretary General Esmat Abdel-Meguid"	0.0930498
"John Major"	0.0928999
"Augusto Pinochet"	0.0928644
Yadav	0.092791
"P.V Narasimha Rao"	0.0927586
Mkapa	0.0925772
Noboa	0.0925749
Fischer	0.0921012
Hagelin	0.0920724
Hanley	0.0917818
al-Sahhaf	0.0916316
Jayakumar	0.091598
Santer	0.0914718
Kabila	0.0913781
Frei	0.0913167
"Chief Executive Tung Chee-hwa"	0.090953
Camdessus	0.0909312
D'Alema	0.0909157
Vieira	0.0908172
Saleh	0.0906406
Rossello	0.090539
Deuba	0.0904554
Rua	0.0903025
"Mesut Yilmaz"	0.0902969
Farrakhan	0.0901024
"Chavalit Yongchaiyudh"	0.0900827
Cavallo	0.0900475
Vajpayee	0.0899566
Gingrich	0.0899034
Prodi	0.0898959
"Benjamin Netanyahu"	0.0895169
Gadhafi	0.0895034
Bedie	0.0894847
Lissouba	0.0893678
Jospin	0.0893276
Zapatistas	0.0892787
Imperatori	0.0892542
"Yoshiro Mori"	0.0891643
Samaranch	0.0890904
Kim	0.0890362
Pataki	0.0889884
Saddam	0.0889649
el-Ganzouri	0.0889216
Perot	0.0886734
"President Kim Dae-jung"	0.0884649
Koresh	0.0883836
Sharpton	0.0882476
Cisneros	0.0882147
"Sonia Gandhi"	0.0880818
"Jean Chretien"	0.0880711
"Valery Pustovoitenko"	0.0879876
"Boris Yeltsin"	0.0878101
Lott	0.0877981
Jovanovic	0.0876726
Dodik	0.0873745
"Slobodan Milosevic"	0.087307
"Bashkim Fino"	0.0870986
"Ryutaro Hashimoto"	0.0869627
Holbrooke	0.0868682
"King Birendra"	0.0868539
"Sher Bahadur Deuba"	0.0868191
Mahathir	0.0867531
Cardenas	0.086643
"Jonas Savimbi"	0.0866404
Kabbah	0.0864942
Luzhkov	0.0863675
))
(Berkeley (desc 21972.2) (sims
Cambridge	0.154046
"Palo Alto"	0.150239
"University of Chicago"	0.149906
Princeton	0.145629
"Santa Barbara"	0.140517
"Santa Monica"	0.139665
"Santa Cruz"	0.139662
Yale	0.136983
"Stanford University"	0.128823
MIT	0.125893
"Yale university"	0.125866
"University of California"	0.124338
"San Francisco"	0.123923
"University of Southern California"	0.123293
Pasadena	0.121227
"San Mateo"	0.120533
"New York University"	0.120525
"Columbia University"	0.120413
Harvard	0.119776
"University of Texas"	0.118939
"Harvard University"	0.118737
"UC Berkeley"	0.117772
"Boston University"	0.117619
Irvine	0.11352
riverside	0.113378
"University of Michigan"	0.113048
"George Washington University"	0.112615
"San Jose"	0.109035
Cornell	0.108369
"New Haven"	0.108145
Alameda	0.106782
"Princeton University"	0.105792
"Santa Clara"	0.10528
Oxford	0.105217
Austin	0.105135
Emeryville	0.104662
"Massachusetts Institute of Technology"	0.103768
"Cornell University"	0.1033
"University of Wisconsin"	0.102761
"Georgetown University"	0.102582
Fresno	0.102168
"Long Beach"	0.101981
Minneapolis	0.101573
"Los Angeles"	0.100288
"University of Virginia"	0.0992521
Englewood	0.098827
"San Diego"	0.0984367
"University of Maryland"	0.0982238
Greenville	0.0980874
Burbank	0.0979471
Columbia	0.0969512
"Emory University"	0.096776
"Harvard Business School"	0.0964963
Glendale	0.0964282
"University of Washington"	0.0963088
Amherst	0.0960343
Tucson	0.0957106
Honolulu	0.0954536
Stanford	0.0952941
Richmond	0.094777
"University of Kansas"	0.094639
"New York City"	0.0945964
"La Jolla"	0.0936057
"University of Pennsylvania"	0.0935406
Chicago	0.0932945
"Mountain View"	0.0923322
Stamford	0.0921429
Sacramento	0.0919509
"Beverly Hills"	0.0914802
Greenwich	0.0913678
"Duke University"	0.0913639
Rochester	0.0912834
"University of Georgia"	0.0910369
"Walnut Creek"	0.0908066
"Menlo Park"	0.090155
"Mill Valley"	0.0898988
Newark	0.0897516
Boston	0.0894961
Albany	0.0894638
"Kansas City"	0.0894081
Bakersfield	0.0893959
Seattle	0.0893206
Houston	0.0884504
"Fordham University"	0.0884197
Wellesley	0.0881905
Concord	0.0878962
"Vanderbilt University"	0.0877649
UGA	0.0875209
"University of Illinois"	0.0874049
"Boston College"	0.0873352
Baltimore	0.0872284
Georgetown	0.0871997
Hartford	0.0871847
"San Antonio"	0.0870229
"Overland Park"	0.0869853
Burlingame	0.0869143
Tampa	0.0867645
"University of North Carolina"	0.0866353
Hayward	0.0866299
Springfield	0.0865977
Manhattan	0.0865461
"University of Florida"	0.0864605
Sunnyvale	0.0862255
Brookline	0.0859141
"University of Iowa"	0.0854407
Brooklyn	0.0853822
Charleston	0.0852778
"California Institute of Technology"	0.0852492
Framingham	0.0851726
"University of Massachusetts"	0.0851607
"Northwestern University"	0.0850243
Memphis	0.0848586
"Simi Valley"	0.0848386
"New York"	0.0847364
"Chapel Hill"	0.0846337
Spokane	0.084558
"Santa Fe"	0.0844815
Yonkers	0.084464
"West Palm Beach"	0.0840442
"Woodland Hills"	0.0836468
Phoenix	0.0835699
"Redwood City"	0.0835039
"South San Francisco"	0.0833335
Sausalito	0.0831623
Encino	0.0830388
LAKEWOOD	0.0828668
UT	0.0828426
"Fort Worth"	0.0827641
"Syracuse University"	0.0827545
Fremont	0.0826274
Denver	0.0825207
"Brown University"	0.0818441
"Santa Rosa"	0.081533
"Thousand Oaks"	0.0814315
"Orange County"	0.0813877
Portland	0.081198
NYU	0.081099
"Ohio State University"	0.0809953
Bethesda	0.0806803
Oakland	0.0806318
Scottsdale	0.0806281
"University of Arizona"	0.0805534
Columbus	0.080392
Gainesville	0.0802131
"Bay Area"	0.0801846
"Marin County"	0.0801786
Wilmington	0.0801293
"Rutgers University"	0.0799457
Brentwood	0.0798011
"Silicon Valley"	0.0795896
Cupertino	0.0795477
Dartmouth	0.0793183
"Dartmouth College"	0.0791463
"Southern California"	0.0789342
Tempe	0.0787322
Montclair	0.0786141
Dallas	0.0782049
"Johns Hopkins University"	0.0781301
"Miami Beach"	0.0780059
"Mexico City"	0.0778368
Milwaukee	0.077402
Fairfield	0.077177
"Manhattan Beach"	0.0771457
Syracuse	0.0771255
"Fort Lauderdale"	0.0771071
"St. Louis"	0.0769121
"Mission Viejo"	0.0768767
Burlington	0.0767338
"Ann Arbor"	0.0767007
Decatur	0.0764959
Nashville	0.0764576
Monterey	0.0763174
"Jersey City"	0.0762611
Tijuana	0.0762609
Providence	0.0761661
"Westlake Village"	0.0760906
"Howard University"	0.0760636
"American University"	0.0759912
"Harvard Law School"	0.0758841
"University of Utah"	0.075658
"Little Rock"	0.0755484
"West Hollywood"	0.0753813
"Williams College"	0.0753628
Birmingham	0.0753519
"San Bernardino"	0.0753321
Raleigh	0.075277
"New Rochelle"	0.0751712
Philadelphia	0.0751322
"New Orleans"	0.0750362
"Brandeis University"	0.0750044
"City College"	0.0748654
LONDON	0.0748121
Madison	0.0747187
"Greenwich Village"	0.0746946
Lexington	0.0746936
Miami	0.0746426
Atlanta	0.0745617
"El Paso"	0.0744312
"City University of New York"	0.0743657
"Sherman Oaks"	0.0743153
))
(Berkley (desc 1576.18) (sims
Putnam	0.169319
Ballantine	0.165205
Riverhead	0.119514
"Pocket Books"	0.113056
"Farrar, Straus &AMP; Giroux"	0.103462
HarperCollins	0.102514
Scribner	0.0946728
"Henry Holt"	0.0924224
Hyperion	0.0874551
"Chronicle Books"	0.0871142
"Warner Books"	0.0861155
Knopf	0.0828065
Schuster	0.0827793
Baird	0.0791636
capo	0.0788382
Doubleday	0.0781564
workman	0.0758757
"Broadway Books"	0.0758178
Delacorte	0.0724077
"Simon &AMP; Schuster"	0.071926
Udall	0.0716921
Cramer	0.0703827
"St. Martin"	0.0703793
"John Conyers Jr."	0.069098
Morrow	0.0689102
Ackerman	0.0682663
Wiley	0.0680055
"Norm Dicks"	0.0673005
"Henry Waxman"	0.0659523
Abrams	0.0650391
"Free Press"	0.0649426
MacMillan	0.064029
Abercrombie	0.0630814
Barron	0.0626508
"Ward Connerly"	0.0625079
"Houghton Mifflin"	0.0622812
Bantam	0.0622483
"Oxford University Press"	0.0622169
Boucher	0.0614227
Prima	0.0612155
Avon	0.0600864
Algonquin	0.0600594
"Abbe Lowell"	0.0596025
"Robert C. Byrd"	0.0592709
"Modern Library"	0.0588722
"Max Baucus"	0.0581326
"main course"	0.0580354
Dutton	0.0575356
Boyd	0.0558547
"William Morrow"	0.0557681
Luther	0.0550843
PAX	0.0538951
"Basic Books"	0.0531159
"Richard Gephardt"	0.0516319
"John Conyers"	0.0516074
HARDCOVER	0.0512217
"Carl Levin"	0.0500226
Posner	0.0491248
"Patrick Leahy"	0.0476735
Zinfandel	0.0471545
latke	0.0469383
Northland	0.0462266
"Bernard Sanders"	0.0460757
"Tom Daschle"	0.046051
"Jim Hodges"	0.0453322
"Joseph Biden"	0.0449459
"David Bonior"	0.0448172
storey	0.0447287
omelet	0.044516
"John Dingell"	0.0441799
"Jim Turner"	0.0439063
penne	0.0438743
"pinto bean"	0.043487
Burt	0.043325
Echols	0.0428932
Regan	0.0424842
Caltex	0.0421468
"John Breaux"	0.0414575
Sheehan	0.0413319
Italia	0.040966
"Charles Rangel"	0.0408668
Bech	0.0408189
Clements	0.0405908
Guinness	0.0403939
"Ernest Hollings"	0.0402378
))
(Berkowitz (desc 1450.71) (sims
Martorano	0.138569
Jelisic	0.121985
Mease	0.115652
"Mark O. Barton"	0.110061
Kaczynski	0.106533
Shulman	0.10068
Ashbrook	0.100033
Baumhammers	0.0923549
Sarsour	0.0884985
"Mark Barton"	0.0871066
"Maturino Resendiz"	0.0847407
Jenoff	0.0844361
Allchin	0.0837385
Unabomber	0.0818683
Krugman	0.0790701
Mustafa	0.0785713
Tevanian	0.0782897
Stayner	0.0781188
TALBOT	0.077989
furrow	0.0777421
Manbar	0.0774778
Padilla	0.0757654
Gravano	0.0755647
Schell	0.0751602
Elhage	0.0749267
Mitnick	0.0747206
Rideau	0.0745698
Rubenstein	0.0743773
Hickman	0.0742593
Whitacre	0.0736638
Shipman	0.0725024
Resendez-Ramirez	0.0724212
Kinkel	0.0722978
Finkel	0.0720292
Lacresha	0.0716614
Maher	0.0712634
Saramago	0.0710965
Rosenthal	0.0707165
Rossotti	0.0703998
Zwick	0.0703424
D'Alessandro	0.0703016
Ruehe	0.0700432
Kambanda	0.0699706
Myhrvold	0.0697176
Barton	0.069506
Kurtz	0.0677234
Einhorn	0.0675982
Flanagan	0.0674456
Cianci	0.06718
Pearce	0.0670857
Pape	0.0666781
Whyte	0.0664255
Aurelio	0.0661744
Hybl	0.0660934
Gullikson	0.0658944
Siripongs	0.0658891
Gullit	0.065012
Talebi	0.0649686
Lugo	0.0649064
Reiner	0.0647544
Iglesias	0.0646201
Narayanan	0.0644573
Slocum	0.0643869
UUP	0.0643296
Dowd	0.0640358
Zamora	0.0640245
Agca	0.063984
Sommer	0.063935
Falater	0.0639258
Swango	0.0639156
Bradshaw	0.0634355
Duvall	0.0631072
O'Neil	0.0629582
Winn	0.0628522
Sobel	0.0626676
Schlessinger	0.0626164
Vasquez	0.0625605
"Maturino Resendez"	0.0624948
Alves	0.0624624
Osborne	0.062145
"Davy Crockett"	0.0618956
D'Amico	0.0618436
Henley	0.0616468
LaPierre	0.0615892
Cleary	0.0615566
Tsang	0.0615048
Cowan	0.0613491
Jaffe	0.0613042
Noe	0.0612443
Kopp	0.0612369
Sebaggala	0.0612122
McDuff	0.0611626
Boller	0.0607192
Noonan	0.060445
Faulder	0.0604433
Jovanovic	0.0603482
Limon	0.060313
Scharping	0.0601544
Lamberth	0.0601366
O'Reilly	0.0600454
Goldin	0.059985
Fagan	0.0599194
Fuhrman	0.0596955
Carneal	0.0596538
Bateman	0.0596243
Bove	0.0595846
Raduyev	0.0595117
Weil	0.0592766
McGovern	0.0592702
Valenti	0.0588727
"Black Panther"	0.058865
Schwartz	0.0587403
Chadwick	0.0587336
Odeh	0.0585426
"General Committee"	0.0584899
Fiorina	0.0582623
Contreras	0.0581729
Silverstein	0.0580757
Macdonald	0.0580117
Hines	0.0580076
Fleischer	0.0580045
"David Graham"	0.0579904
Gurule	0.0577727
Hersh	0.0577564
Zuckerman	0.0576982
Nickerson	0.0575195
Sheehy	0.0575112
Lerner	0.0574429
Roque	0.0574394
"Russell Peeler"	0.05727
Hamlin	0.0571838
Holl	0.0571384
Rea	0.0570518
Hahn	0.0570167
Posner	0.0569437
Robison	0.0569422
Rosen	0.0568286
Haynes	0.0567682
Cahill	0.05675
Kaye	0.0567017
CMAG	0.0566531
Alatas	0.0566482
Hendricks	0.0566052
Ankiel	0.0564565
Nasrallah	0.0564318
Clements	0.0560035
Setzer	0.0558772
COYNE	0.0558253
Cepeda	0.0558074
"Di Canio"	0.0556715
Nikitin	0.0555352
Menino	0.0554906
Pollack	0.0554402
Maritz	0.0552136
Walser	0.0551036
Valdez	0.0549673
Zadornov	0.0549398
Moser	0.0549249
McLaughlin	0.0549169
Waxman	0.0549089
Bergeron	0.0548877
Leuchter	0.0547494
Whaley	0.0547401
handyman	0.0546126
Blum	0.0545965
Shayler	0.054563
Schmitz	0.054492
Rosenberg	0.0544111
Blackwell	0.0543997
Duran	0.0543686
Brazile	0.0543482
Anand	0.0542753
Hauser	0.0542569
Burleigh	0.0541928
Hagen	0.0541793
Nasser	0.0538608
Geiger	0.0538482
Carville	0.0538361
Leigh	0.0537317
Schiffer	0.0534296
Crocker	0.053352
Mendez	0.0531509
Coffey	0.0530839
Hammett	0.0530061
Mackey	0.0530015
Sharma	0.0528766
Nichols	0.0528423
Lecter	0.0526956
Conroy	0.0526335
"De la Cruz"	0.052559
Valenzuela	0.0524145
Noriega	0.0523946
Baldwin	0.052345
Betty	0.0523393
BBOX	0.0522787
Sakakibara	0.0522547
Gorman	0.0522137
Spector	0.0521621
Barrionuevo	0.0521513
Cheung	0.052129
))
(Berkshire (desc 3593.84) (sims
"Berkshire Hathaway"	0.205512
RJR	0.154252
COLTEC	0.153538
"Thermo Electron"	0.151888
TYCO	0.149188
CMGI	0.133984
"U.S. Trust"	0.13201
"National Grid"	0.127937
"RJR Nabisco"	0.125279
NatWest	0.124385
"Pacific Century"	0.124362
"KCP&AMP;L"	0.121831
"Dayton Hudson"	0.120215
Zapata	0.119636
ascend	0.119477
Viacom	0.118966
Halliburton	0.11857
Starwood	0.117731
Emulex	0.117464
Cabletron	0.117463
Penney	0.116998
AMR	0.115155
IDT	0.11511
GANNETT	0.114996
VENATOR	0.112674
TELLABS	0.112367
CCE	0.112346
Cendant	0.111943
SmithKline	0.110454
AIG	0.110173
AutoNation	0.109822
Georgia-Pacific	0.109476
Terra	0.109003
"Times Co."	0.108383
NORTHROP	0.107432
MiniMed	0.106595
ARCO	0.105571
Cabot	0.105511
PLDT	0.105424
Weyerhaeuser	0.105131
iXL	0.105084
BankAmerica	0.104416
Aegon	0.10438
"Times Mirror"	0.104273
BCE	0.104087
NTL	0.103734
"Stride Rite"	0.10344
Viag	0.103193
UAM	0.102704
Ciena	0.102697
Scripps	0.102395
Akamai	0.102257
Mattel	0.102005
Pairgain	0.101999
Broadcom	0.101828
Petrofina	0.101648
Raytheon	0.101131
Healtheon/WebMD	0.100259
"P&AMP;G"	0.0996199
Healtheon	0.0992617
XYLAN	0.0991336
Appalachian	0.0978029
Seagram	0.0972289
Medtronic	0.097023
HBOC	0.0970184
ALZA	0.0969873
"Y&AMP;R"	0.0962119
Sunbeam	0.0954585
Omnicom	0.0954273
Seagate	0.0953458
Nabisco	0.09531
Nortel	0.0951933
Schlumberger	0.0949764
Sepracor	0.0942103
EMC	0.0940336
"HBO &AMP; Co."	0.0935924
Biogen	0.0935368
"Food Lion"	0.0929923
Tenneco	0.0929553
"News Corp."	0.0928283
Infoseek	0.092782
Airtouch	0.0927548
NiSource	0.0927416
WPP	0.0923235
Autodesk	0.0922069
Gilead	0.0920257
ExciteAtHome	0.0916635
McKesson	0.0911639
"Boston Scientific"	0.0911452
Norwest	0.0906986
Aetna	0.0905107
VoiceStream	0.0903073
"Global Crossing"	0.0893305
REIT	0.0892948
Conseco	0.0892201
Chiron	0.0886689
Occidental	0.088543
PictureTel	0.088384
SFX	0.0874804
Mannesmann	0.0873515
REVLON	0.086592
Vivendi	0.0859081
adobe	0.0858772
Humana	0.0857294
CMG	0.0856474
talisman	0.0855383
Transamerica	0.0850365
"Bausch &AMP; Lomb"	0.0850329
Hampshire	0.0850252
Warner-Lambert	0.0849781
Warnaco	0.0849311
"Waste Management"	0.0848003
BankBoston	0.0847567
Qwest	0.0844953
"Rite Aid"	0.0843703
Stratus	0.0843545
Asda	0.0843206
Broderbund	0.0841717
Daimler	0.0839508
WebMD	0.0838399
Tandy	0.0836738
"State Street"	0.0829249
Clorox	0.0828044
Corning	0.082665
Danka	0.082509
Belo	0.0824141
"Chronicle Publishing"	0.0823447
Gillette	0.0821385
Buffett	0.0821154
YPF	0.0819297
Litton	0.0814345
Honeywell	0.0814257
"BP Amoco"	0.0811051
Lycos	0.0810594
Comcast	0.08096
GEC	0.0808006
Scientific-Atlanta	0.0807983
Hancock	0.0807762
UAL	0.0807378
"Computer Associates"	0.0807242
"Time Warner"	0.0804656
tribune	0.0803638
Rhone-Poulenc	0.0803239
"Johnson &AMP; Johnson"	0.0802941
Comsat	0.0800573
"Union Carbide"	0.0798014
Cisco	0.0796075
HP	0.0795605
SDL	0.0790404
BofA	0.0790341
SkyTel	0.0789009
Maytag	0.0788097
Genzyme	0.0786882
Alltel	0.0780489
"Reed Elsevier"	0.0779137
Checkfree	0.0778291
SGI	0.0776284
Alcoa	0.0775502
ENTERGY	0.0775205
Salon.com	0.0774736
Livent	0.0774491
GTE	0.0774458
"Ford Motor Company"	0.0773369
"International Paper"	0.0771423
"U S West"	0.0770157
Equifax	0.0769063
Kodak	0.0766177
"MCI WorldCom"	0.0766142
EOHR	0.0765626
"Whole Foods"	0.0763899
BellSouth	0.0762967
Genentech	0.0762029
Copley	0.0762028
AHP	0.0761338
Priceline	0.0760127
Astra	0.0759968
UBS	0.0759199
Deutsche	0.0758573
Dupont	0.0756099
"Telecom Italia"	0.0753523
Yorkshire	0.075263
REPSOL	0.0751747
CNET	0.0748431
Conoco	0.0748321
Gazprom	0.0748204
"True North"	0.0747286
Exxon	0.0746759
LTCB	0.0740982
Compaq	0.0740648
"Fred Meyer"	0.0739478
"Gap Inc."	0.073911
Kellogg	0.0738606
E-LOAN	0.0736197
Goldman	0.0736094
Iridium	0.0735217
Amgen	0.0731214
"Nippon Credit"	0.0730732
Mediaone	0.0729845
Texaco	0.0728984
Fingerhut	0.0728853
))
("Berkshire Hathaway" (desc 2597.81) (sims
Berkshire	0.205512
Omnicom	0.185978
CMGI	0.184601
"Times Co."	0.182614
"U.S. Trust"	0.177661
"News Corp."	0.175769
AMR	0.174822
WPP	0.170619
"UAL Corp."	0.169645
Viacom	0.167947
"CMGI Inc."	0.166228
"RJR Nabisco"	0.161888
Publicis	0.161496
"AMR Corp."	0.160109
Emulex	0.158816
SkyTel	0.154426
"True North"	0.151629
"Y&AMP;R"	0.150021
ALZA	0.149664
"National Grid"	0.14927
RJR	0.149131
"HBO &AMP; Co."	0.146106
Seagram	0.144755
Schlumberger	0.142614
Federated	0.141814
SmithKline	0.141602
"Times Mirror"	0.141587
Media-MOST	0.140545
"Bausch &AMP; Lomb"	0.140464
"Gap Inc."	0.140046
Halliburton	0.139493
TYCO	0.137982
Warnaco	0.137569
Mannesmann	0.137295
"Northeast Utilities"	0.136834
"Boston Scientific"	0.134438
UAL	0.133778
Vivendi	0.133486
NatWest	0.133197
Healtheon	0.13213
Nabisco	0.131226
Interpublic	0.13024
"Dayton Hudson"	0.129482
SFX	0.128987
AlliedSignal	0.127553
"Niagara Mohawk"	0.127542
"Thermo Electron"	0.126157
Sibneft	0.125916
Genzyme	0.12485
Healtheon/WebMD	0.124314
ascend	0.122395
Glaxo	0.122359
"Phelps Dodge"	0.122273
GANNETT	0.122201
"Federated Department Stores"	0.122133
"Computer Associates"	0.121986
"Canal Plus"	0.121656
"United Technologies"	0.121193
"Delphi Automotive Systems"	0.12094
"USA Networks"	0.120293
"Learning Co."	0.120171
ARCO	0.120075
Tenneco	0.119921
Cendant	0.119669
Litton	0.11951
PLDT	0.11925
Ciena	0.119201
"BP Amoco"	0.118634
E-LOAN	0.11809
"International Paper"	0.118025
DrKoop.com	0.117792
Raytheon	0.117436
McKesson	0.117422
"Telecom Italia"	0.117385
Pepsico	0.11723
PEOPLESOFT	0.117215
AIG	0.117128
Nortel	0.116856
Telefonica	0.116774
NiSource	0.11656
Clorox	0.116316
"Fred Meyer"	0.115553
ENTREMED	0.115279
"General Electric Co."	0.115123
COLTEC	0.115102
"Southern Co."	0.114587
GEC	0.114285
Bestfoods	0.114008
"HSBC Holdings"	0.113973
"Seagram Co."	0.113714
"Cadbury Schweppes"	0.113602
Cablevision	0.11344
"Northern Telecom"	0.112349
"Omnicom Group"	0.11212
"Halliburton Co."	0.112052
"Network Associates"	0.111873
Corning	0.111853
SBC	0.111664
Zapata	0.111407
BankAmerica	0.110725
"Hughes Electronics"	0.110574
Alcoa	0.110473
Medtronic	0.110299
"Citigroup Inc."	0.109707
WorldCom	0.109386
"Eastman Kodak"	0.109321
Aetna	0.108615
"Global Crossing"	0.108255
"Coca-Cola Enterprises"	0.107926
Gazprom	0.107719
"JDS Uniphase"	0.107698
"P&AMP;G"	0.107549
Novell	0.107278
Biogen	0.107229
"Aetna Inc."	0.107148
EMC	0.107107
Honeywell	0.107095
Bridgestone	0.10696
"American Home Products"	0.106828
Hasbro	0.106724
ENTERGY	0.106574
Bertelsmann	0.106485
Aegon	0.106421
MiniMed	0.106161
"National Semiconductor"	0.105999
"Knight Ridder"	0.105953
Exxon	0.105945
"Time Warner"	0.105782
Pinkerton	0.105684
Heinz	0.105539
Starwood	0.105453
VENATOR	0.105403
iXL	0.105352
Weyerhaeuser	0.105073
Fingerhut	0.104731
"Sara Lee"	0.104329
"Union Carbide"	0.104289
Citigroup	0.103987
Alcan	0.103764
Chiron	0.103753
Scripps	0.103743
Infoseek	0.103552
Airtouch	0.103306
"Ford Motor Company"	0.103233
Monsanto	0.103136
"Sprint PCS"	0.102308
NORTHROP	0.102306
"Liberty Media"	0.102025
"Burlington Northern"	0.101866
CNET	0.10183
"Newport News"	0.101765
"American International Group"	0.10168
Dupont	0.101581
"Johnson &AMP; Johnson"	0.101242
VEBA	0.101152
Sunbeam	0.101126
"Charles Schwab Corp."	0.10109
Terra	0.100719
"Viacom Inc."	0.100445
AstraZeneca	0.100166
REVLON	0.100114
"Dow Chemical"	0.0994212
"Chase Manhattan"	0.0994187
VoiceStream	0.0992668
Corel	0.0990064
China.com	0.0986226
"Daimlerchrysler AG"	0.0985567
"Bertelsmann AG"	0.098487
"GE Capital"	0.0983988
GTE	0.0983737
Wachovia	0.0979946
DaimlerChrysler	0.0979689
"Cendant Corp."	0.0978702
CCE	0.0978359
Astra	0.0976618
"Monsanto Co."	0.0971735
Asarco	0.0971493
"Tribune Co."	0.0970532
HSBC	0.0969065
Westinghouse	0.0967396
"Deutsche Telekom"	0.0966615
"Walt Disney Co."	0.0964228
Telebras	0.096409
"J&AMP;J"	0.0963155
Georgia-Pacific	0.0962475
"International Business Machines Corp."	0.0961782
"Saatchi &AMP; Saatchi"	0.096177
"Hearst Corp."	0.0960796
YPF	0.0959379
Chevron	0.0955693
"Hughes Electronics Corp."	0.0955296
"Rite Aid"	0.0953248
"Mattel Inc."	0.0953103
"Atlantic Richfield"	0.0951783
Unilever	0.0948828
BCE	0.094552
Amgen	0.0943155
Enron	0.0940682
Paribas	0.0940553
"Deutsche Bank"	0.0935045
))
(Berkshires (desc 3658.77) (sims
Adirondacks	0.0901807
"Hollywood Hills"	0.0847922
"East Texas"	0.0766386
Tuscany	0.0723
"Westchester County"	0.0698985
"Bel Air"	0.0688611
Sussex	0.0683356
Newport	0.0682886
Catskills	0.0678247
"East Hampton"	0.0668862
Surrey	0.0645065
ASHEVILLE	0.0642165
"Highland Park"	0.0641145
Malibu	0.0636262
Piedmont	0.0614977
"Sussex County"	0.0613357
Greenwich	0.0603919
"Pacific Palisades"	0.0597419
"Hyde Park"	0.0596567
"Marin County"	0.0592206
"Santa Fe"	0.0588859
"Palm Beach"	0.0587903
Bedford	0.0583288
Cumberland	0.0580528
Williamstown	0.0577751
Vermont	0.0575623
"Beverly Hills"	0.0574113
Westport	0.0571562
Montclair	0.0569242
"Palm Springs"	0.056385
"Mississippi Delta"	0.0563677
"Santa Barbara"	0.0561752
"Huntington Beach"	0.0561752
Morristown	0.0553342
"San Fernando Valley"	0.0549237
Hamptons	0.0546964
Harlem	0.0546662
"Delray Beach"	0.0545353
Lenox	0.0542514
"Taklimakan Desert"	0.0542508
Bridgehampton	0.0542154
"South Bronx"	0.0539682
foothills	0.0536864
Chatham	0.0532374
"West Virginia"	0.0527238
Sedona	0.0522141
Cornish	0.0519781
Chappaqua	0.0519209
Huntington	0.0519001
"Paradise Valley"	0.0518951
Brentwood	0.0516194
"French Alps"	0.0514039
"White Mountains"	0.0513183
Kennebunkport	0.0510617
"Little Havana"	0.050986
"Mill Valley"	0.0509408
Appalachia	0.05061
Westchester	0.0503061
"Mojave Desert"	0.0501385
Scarsdale	0.0498685
"Brooklyn Heights"	0.0496792
Tarrytown	0.0496119
Savannah	0.0495659
"South Florida"	0.049501
Acapulco	0.0494628
TALLAHASSEE	0.0493265
Peekskill	0.0492195
Charleston	0.0486101
Bensonhurst	0.0485935
Augusta	0.0485418
"Great Neck"	0.0485243
"Bergen County"	0.0481761
"Fort Lee"	0.0479151
"Fayette County"	0.0475315
"Greenwich Village"	0.0474837
Nantucket	0.0473697
"Orange County"	0.0473555
Albuquerque	0.0470049
Gloucester	0.0469975
"West Texas"	0.0467777
"Antelope Valley"	0.0465752
Riverdale	0.0465034
Monterey	0.0464998
Shreveport	0.0464974
"Boca Raton"	0.0463464
Alps	0.0463163
Soweto	0.0462998
"Rhode Island"	0.0461874
"St. Paul"	0.0460416
"Miami Beach"	0.0459167
lowland	0.0458501
Ozarks	0.0455471
Carthage	0.0455283
Alpharetta	0.0454255
midland	0.0453934
Falmouth	0.0453448
"New Canaan"	0.0452388
"New Haven"	0.0451742
"Suez Canal"	0.0450713
"Palm Beach Gardens"	0.0449572
"El Paso"	0.0448974
flatlands	0.0448365
highland	0.0447779
"New London"	0.0447529
"Union City"	0.0446246
"Little Italy"	0.0446041
"Hudson Valley"	0.0443188
Spokane	0.0442863
"Cape Cod"	0.0442726
Akron	0.0440878
"Little Rock"	0.04406
Potomac	0.0440572
"Martin Meehan"	0.0439672
Weimar	0.0439242
Normandy	0.0439235
riverside	0.043849
"American South"	0.0438152
Wheaton	0.0437914
"Forest Hills"	0.0436975
"trailer park"	0.0436888
"Saratoga Springs"	0.0436624
"Seventh Avenue"	0.0435278
foothill	0.043496
Encino	0.0434422
Redding	0.0434108
Northampton	0.0433223
Bayreuth	0.0431393
Omaha	0.0431191
Venice	0.0431177
Stamford	0.0430279
"East Village"	0.0429154
Lawrenceville	0.0428587
Yonkers	0.0427966
Cornwall	0.0427587
Dover	0.0426686
Englewood	0.0426377
Ballymoney	0.0426082
"Nile Delta"	0.0424565
Camden	0.0424043
"Empire State"	0.0421636
Elmira	0.0420504
"Bible Belt"	0.0418841
Metroplex	0.0418651
Burgos	0.0418116
"Gilded Age"	0.041759
Braintree	0.041741
Brookline	0.0417401
"British Columbia"	0.0417333
"Chapel Hill"	0.0417272
Marietta	0.0416229
Madison	0.0415841
Hattiesburg	0.0415041
"Woods Hole"	0.0413862
"Paul Tsongas"	0.0413831
Ridgewood	0.0413737
"Florida Panhandle"	0.0412744
Salem	0.0411939
Babylon	0.0411897
Skaneateles	0.04114
Aspen	0.0411114
Amarillo	0.0409531
Concord	0.0408866
marshland	0.0408112
"Stone Mountain"	0.0406299
"North Hollywood"	0.0405849
Ontario	0.0405267
"New Rochelle"	0.0405246
"Arabian Peninsula"	0.0404936
"Yellowstone National Park"	0.0401336
"Virgin Islands"	0.0400857
Olympia	0.0400786
))
(Berle (desc 760.392) (sims
Laudor	0.124515
Brazill	0.11717
Shandling	0.113037
Paciello	0.112586
Baumhammers	0.10644
Shinn	0.103144
Mapes	0.096781
Harris-Lewis	0.090217
Jewell	0.0898691
Moceanu	0.088843
"Mickey Blue Eyes"	0.0886863
Fassett	0.0877923
Maharaj	0.0873478
Bragg	0.0867649
Shatner	0.0853981
Yoakam	0.0842262
Mattysse	0.0827432
"El Hage"	0.0819261
Manbar	0.0813819
"La Bella"	0.0801478
Sheinbein	0.0791906
Fortier	0.0790134
Copeland	0.078731
"Suddenly Susan"	0.0780795
Liggett	0.0777746
Falater	0.0771613
Novak	0.0765624
Turetzky	0.0761467
"Lei Feng"	0.0752968
Haworth	0.0748867
McWilliams	0.0746111
He/she	0.0743125
Hindery	0.07389
Berenson	0.073647
Deneuve	0.0730843
RIAA	0.0727883
Bowfinger	0.0722529
Yoon	0.07183
Sweeting	0.0712643
Blackthorne	0.0709291
Dubus	0.0709017
Lovett	0.0705441
Jarrell	0.0705395
Matasareanu	0.0704876
Qureshi	0.0702784
Tseng	0.0701622
Guidry	0.0701568
Kehoe	0.0698615
McMellon	0.0696319
Prewitt	0.0693007
Faget	0.0690253
Kodikian	0.0689097
Bolger	0.0688939
Yarnall	0.0686976
Vandal	0.0679036
looper	0.0678478
"Bruce Lee"	0.0669515
Chrissie	0.0668272
Hinckley	0.0666184
Musa	0.0662811
Knapp	0.066113
Yadav	0.0659237
"Juan Miguel"	0.0658376
Parrott	0.0656304
SAFY	0.0654362
Matthau	0.0652319
FOMC	0.0652266
"Franz Beckenbauer"	0.0651542
Almodovar	0.0650916
Abernathy	0.0647745
Sakic	0.0645889
Hage	0.0644613
Durwood	0.0643869
Hoke	0.0641876
Demjanjuk	0.0640585
Noor	0.0638224
Erving	0.0638136
Harrelson	0.0636256
"Alberto Tomba"	0.0634432
Whaley	0.0634337
Mims	0.0633973
Limon	0.0632898
Gauthe	0.0631632
BANDERAS	0.0626508
Sasha	0.0625839
Ziegler	0.0625349
Natale	0.0622659
Jett	0.0620449
Lindland	0.0620236
Hiett	0.061944
Fech	0.0615431
Jenoff	0.0610344
"John Wooden"	0.0608313
DiPietro	0.0606847
Mahomes	0.0606203
Abram	0.0602626
Imperatori	0.0601964
Babcock	0.0601551
Mudge	0.0601148
"Jenny Jones Show"	0.0596276
Quackenbush	0.0595595
Schuerholz	0.0594246
whistle-blowers	0.0592914
Coia	0.0589731
JonBenet	0.0589704
Dominique	0.0587244
Zeta-Jones	0.0585363
Egan	0.0584843
ECW	0.0582871
Martorano	0.0581871
Hazen	0.0578185
postmodernism	0.0577193
DiCarlo	0.0574696
Samuelson	0.0574595
Woodward	0.0574539
Lugo	0.0573226
"Russell Peeler"	0.0571498
Schiffer	0.0567503
Soliah	0.056648
DERSHOWITZ	0.0565852
Kerouac	0.0564187
Sheppard	0.0563653
Gangelhoff	0.0561562
Marichal	0.0560526
Symington	0.0559381
picketers	0.0555658
Affleck	0.0552754
Katzenberg	0.055233
Ozawa	0.0551984
Bruder	0.0551618
"Jim Gray"	0.0549745
Edwin	0.0548446
"Hearst Corporation"	0.0546143
Schafer	0.0545052
Cody	0.0544177
"queen mother"	0.0543007
Brownlee	0.0540046
Kurth	0.0539538
Gunmakers	0.0538445
Brockovich	0.0538426
Edna	0.0538214
"Patsy Ramsey"	0.0537352
Seizinger	0.0536975
Venables	0.0535323
"National Enquirer"	0.0534678
Ramseys	0.0534139
EEOC	0.0534076
Symons	0.0533846
Winkler	0.0533643
octuplets	0.0532534
Verniero	0.0531826
Stith	0.0530208
Lipstadt	0.0527917
Hubert	0.0526895
LeFave	0.052684
Allan	0.0526024
Dorsett	0.0525001
singleton	0.0521791
Hamlin	0.0520879
Squier	0.0520522
"Rod Laver"	0.052026
Betts	0.0519864
"Johan Cruyff"	0.0519725
Rivlin	0.0519251
Napolitano	0.0518761
Hepburn	0.0518688
Millar	0.0517762
"Bugs Bunny"	0.0516061
Baez	0.0515692
Lundy	0.0515239
Esposito	0.0514964
Nana	0.0514645
Mortimer	0.0514068
"Peter Lynch"	0.0513296
Iglesias	0.0513286
"Lyndon B. Johnson"	0.0510763
Jorgensen	0.0510596
Redstone	0.0509784
"Patch Adams"	0.0509698
McGowan	0.0509226
Feuer	0.0509048
"Little Richard"	0.050881
Christensen	0.0508806
Vermonter	0.0508063
"Louise Woodward"	0.0507822
"Al Fayed"	0.0506791
emachines	0.0506417
Yarmila	0.05058
"Billie Jean King"	0.050572
Cleary	0.050568
CCF	0.0505393
Jenny	0.0504967
Foxx	0.050346
Anelka	0.050301
Danner	0.0502893
Gwen	0.0502492
Oneida	0.0502002
Heche	0.0501995
Hirsch	0.0501942
Schmalensee	0.0501653
))
(Berlin (desc 56943.3) (sims
Vienna	0.212188
Rome	0.203526
Bonn	0.201977
Paris	0.195044
BRUSSELS	0.19271
Munich	0.185506
Moscow	0.180105
LONDON	0.179029
Madrid	0.178441
Prague	0.174983
STOCKHOLM	0.170906
Amsterdam	0.16914
Frankfurt	0.167505
Hamburg	0.167482
WARSAW	0.162836
Tokyo	0.162149
LISBON	0.161927
BUDAPEST	0.161242
Helsinki	0.160817
KIEV	0.159033
Geneva	0.157991
CAIRO	0.157821
SEOUL	0.156485
Istanbul	0.153437
"Mexico City"	0.15304
BEIJING	0.150436
Dublin	0.150323
"Buenos Aires"	0.149929
ATHENS	0.14764
Bangkok	0.147541
Havana	0.146298
Copenhagen	0.145205
"Kuala Lumpur"	0.144047
Zurich	0.143036
Tehran	0.142736
BUCHAREST	0.142507
Milan	0.142074
Belfast	0.138995
Beirut	0.138579
"Tel Aviv"	0.137544
Cologne	0.137124
Stuttgart	0.136701
"New Delhi"	0.135879
Duesseldorf	0.135293
"St. Petersburg"	0.134538
Pretoria	0.134506
HANOI	0.134178
Amman	0.133355
"Cape Town"	0.133198
Oslo	0.131684
"New York"	0.13164
MELBOURNE	0.131086
SOFIA	0.131037
Manila	0.130276
BELGRADE	0.128269
JERUSALEM	0.127943
Sydney	0.127825
Sarajevo	0.126912
Dresden	0.126709
JOHANNESBURG	0.126353
Santiago	0.126299
BOGOTA	0.12605
Durban	0.125997
ZAGREB	0.12572
"Los Angeles"	0.124991
Barcelona	0.124342
HARARE	0.123899
Nairobi	0.123331
Washington	0.123272
Jakarta	0.122482
Dusseldorf	0.122282
"Phnom Penh"	0.121225
"Rio de Janeiro"	0.121018
Riyadh	0.120767
Leipzig	0.120728
TIRANA	0.120501
Florence	0.120363
CARACAS	0.119881
"Addis Ababa"	0.119824
MAPUTO	0.117229
Algiers	0.116603
Baghdad	0.115504
ANKARA	0.115401
Lusaka	0.115299
Lausanne	0.1151
Shanghai	0.114226
Birmingham	0.113219
DHAKA	0.112824
PALERMO	0.112388
Montreal	0.112374
COLOMBO	0.111932
Islamabad	0.111826
KAMPALA	0.111088
Damascus	0.110971
Hanover	0.110544
Tripoli	0.11006
Chicago	0.109359
Atlanta	0.109274
"San Francisco"	0.108912
Luanda	0.108776
Lyon	0.108731
Taipei	0.108694
PYONGYANG	0.108514
Pristina	0.107892
Abuja	0.106609
Kigali	0.106377
Edinburgh	0.106352
Strasbourg	0.106206
Turin	0.105818
Venice	0.105559
Boston	0.105387
Minsk	0.105154
Baku	0.10471
Osaka	0.103388
"New York City"	0.103331
Auckland	0.103132
"Fort Worth"	0.101285
Vancouver	0.100999
Minneapolis	0.10059
Toronto	0.100468
"Las Vegas"	0.100286
"New Orleans"	0.100239
Seville	0.100156
"San Juan"	0.10014
Accra	0.100042
Albany	0.0999486
Quito	0.0999309
Vilnius	0.0998875
Manhattan	0.0997768
Tashkent	0.0997215
Lagos	0.0996672
Salzburg	0.0996393
"Sao Paulo"	0.0994085
Newark	0.0992975
"Ho Chi Minh City"	0.0991942
Khartoum	0.0989691
Seattle	0.098742
Philadelphia	0.0987136
Gaza	0.0986588
Tbilisi	0.0985245
Kinshasa	0.0982335
Rabat	0.0982133
Singapore	0.0977142
Naples	0.0976942
Dushanbe	0.0976265
Rotterdam	0.0971985
Bremen	0.0967391
Ottawa	0.0967018
Lima	0.0966878
Honolulu	0.0963177
Asmara	0.0962031
Manchester	0.096194
"Santo Domingo"	0.0958317
Bern	0.0954229
Windhoek	0.0952749
Gaborone	0.0947541
Houston	0.094548
TEGUCIGALPA	0.0941697
"Hong Kong"	0.0941552
"Dar es Salaam"	0.0939402
Cartagena	0.0938122
Vientiane	0.0937894
Alexandria	0.0936784
Doha	0.093546
YANGON	0.0934481
Austin	0.0933715
Nashville	0.0932967
Dili	0.0932731
"San Jose"	0.0927363
Skopje	0.0924478
Germany	0.0922961
Riga	0.0921434
Antwerp	0.0918776
Phoenix	0.0917476
"The Hague"	0.091747
Baltimore	0.0916083
Canberra	0.0915868
Arusha	0.0914799
Monrovia	0.0913324
"Guatemala City"	0.0912583
Lahore	0.0911619
TUNIS	0.0908963
NICOSIA	0.0907693
capital	0.0907203
Kyoto	0.0904945
city	0.0904294
Nuremberg	0.0903408
Guangzhou	0.0902206
Lome	0.0902078
"Oklahoma City"	0.0900493
Tampa	0.0898352
Memphis	0.089732
Kabul	0.0889267
Hartford	0.0888372
Orlando	0.0887081
BRASILIA	0.0885075
Ramallah	0.0884575
Denver	0.0884064
MANAMA	0.0883671
"Little Rock"	0.0883637
))
("Berlin Philharmonic" (desc 1613.05) (sims
"New York Philharmonic"	0.201219
"Cleveland Orchestra"	0.189733
"Boston Symphony"	0.159384
"Boston Symphony Orchestra"	0.152932
"Philadelphia Orchestra"	0.135677
"Vienna Philharmonic"	0.13088
BSO	0.118007
"Boston Pops"	0.103918
Philharmonic	0.10303
"Pierre Boulez"	0.0909311
"symphony orchestra"	0.0762502
"Mikhail Baryshnikov"	0.0733169
"Royal Ballet"	0.0720084
"Field Poll"	0.0711619
"Atlanta Thrashers"	0.0639448
ASO	0.0628466
"James Levine"	0.0598511
"Roundabout Theater Company"	0.0584133
"Public Theater"	0.0582244
"American Ballet Theater"	0.0580067
Baryshnikov	0.0570191
"Metropolitan Opera"	0.0570025
"chamber orchestra"	0.0563667
"Rainbow Room"	0.0556506
"La Scala"	0.0527177
"Corcoran Gallery"	0.0521628
"Billie Holiday"	0.0521406
roundabout	0.0489276
"Dizzy Gillespie"	0.0486552
"CHARLOTTE STING"	0.0479551
"Atomic Energy Commission"	0.047916
"ballet company"	0.047137
"State Administration of Cultural Heritage"	0.047049
"jazz band"	0.0469377
"Bank for International Settlements"	0.046762
"New York City Opera"	0.046346
"Toronto Maple Leafs"	0.0451275
"volleyball player"	0.0449742
"belly dancer"	0.0445211
CNPC	0.0439941
"City Opera"	0.0437552
"American Film Institute"	0.0429832
"Toronto Raptors"	0.0429794
"Anaheim Mighty Ducks"	0.0429456
"Housing Authority"	0.0425915
"Milwaukee Bucks"	0.0425637
"Count Basie"	0.0423089
"Museum of Natural History"	0.0422213
"Detroit Pistons"	0.0420143
"Symphony No. @"	0.0419481
"Royal Opera House"	0.041835
"World Youth Games"	0.0417742
"U.S. Soccer Federation"	0.0416054
"Sydney Organizing Committee"	0.0415508
"Ray Charles"	0.0412914
center-left	0.0411747
tribals	0.0411328
"Louis Armstrong"	0.0411155
"Tampa Bay Lightning"	0.0409817
"State Administration of Foreign Exchange"	0.0405644
PSE	0.0405443
"Election Committee"	0.0404153
"San Jose Sharks"	0.0402248
"Brooklyn Dodgers"	0.0402161
"Peach Bowl"	0.0401003
))
("Berlin Wall" (desc 4286.48) (sims
"iron curtain"	0.155755
"house of cards"	0.124913
"Mexican peso"	0.0892669
"Pennsylvania Station"	0.0881184
"Roman Empire"	0.0829254
scaffold	0.0780513
"trade barrier"	0.0760884
"Erie Canal"	0.0737631
scaffolding	0.0701761
goalpost	0.0699913
cofferdam	0.0654784
footbridge	0.0653729
edifice	0.0636981
"fire wall"	0.0633443
"East African Community"	0.0624411
"Ottoman Empire"	0.0622674
USSR	0.0620393
"Miller Park"	0.0608952
levee	0.0603165
communism	0.0591381
barricade	0.0587903
"Yad Vashem"	0.0579118
"Brooklyn Bridge"	0.0564522
dike	0.0546597
megaplexes	0.05439
"Anti-Ballistic Missile Treaty"	0.0542252
"fire hydrant"	0.0538105
"pedestrian bridge"	0.0537542
"stone wall"	0.0531173
"South Vietnam"	0.0516054
"Third Reich"	0.0512575
apartheid	0.0512236
"Zimbabwean dollar"	0.0509833
"power line"	0.0506613
"railroad track"	0.0499077
"railroad line"	0.0498746
"Boston Garden"	0.0495193
"Nairobi Stock Exchange"	0.049292
"chicken coop"	0.0491746
"Pan Am"	0.0490915
"apartment building"	0.049017
"Belmont Learning Center"	0.0484672
"Beijing-Kowloon Railway"	0.0484562
"Warsaw Pact"	0.0482481
Sensex	0.0480048
overpass	0.0479192
"suspension bridge"	0.0477613
"Demilitarized Zone"	0.0472243
stele	0.0470251
"barbed wire"	0.0463158
"Gorges Dam"	0.0460704
"bank rate"	0.0457687
gravestone	0.045755
"over @@@ points"	0.045266
walkway	0.0449504
jawbone	0.044944
fortress	0.044285
gavel	0.0442237
"Macao International Airport"	0.0441534
"Camp Abubakar"	0.0441064
"tourist hotel"	0.0439163
Saigon	0.0438754
"concentration camp"	0.043755
"merchant bank"	0.0437282
zloty	0.043579
"apartment house"	0.0434717
"demarcation line"	0.043465
Reich	0.0431825
Auschwitz	0.0431618
freeway	0.0431393
"welfare state"	0.042963
"International Space Station"	0.042683
heliport	0.0426651
"Long-Term Capital Management"	0.0426618
treehouse	0.0426377
"Alaska Airlines Flight @@@"	0.0426139
"Pudong International Airport"	0.0424584
dyke	0.0423826
"Terminal @"	0.0423678
baring	0.0421344
firewalls	0.0421287
"British Empire"	0.0420144
misjudgments	0.0419985
"ring road"	0.0419337
steeple	0.0419064
Canty	0.0418334
"oil pipeline"	0.0417453
rupiah	0.0416685
"Karachi Stock Exchange"	0.0416519
oligarchy	0.0416061
bonfire	0.0413333
"Ebbets Field"	0.0412126
"Green Line"	0.041134
embankment	0.0410294
"bond price"	0.0409536
"Golden Gate Bridge"	0.040787
leu	0.0407728
"window frame"	0.0407303
dictatorship	0.0404943
fuselage	0.0403901
silo	0.0403618
skyscraper	0.0403443
chimney	0.0403326
Cairn	0.0402584
"Bay Bridge"	0.0402047
pylon	0.0401938
))
(Berliner (desc 1325.41) (sims
Washingtonian	0.0924793
grownup	0.0846431
rowdy	0.0719538
Lightyear	0.0713558
hyper	0.0709792
"treading water"	0.0682874
Parisian	0.067585
"North Carolinian"	0.0671653
Atlantan	0.0660583
"New Englander"	0.0654633
outta	0.0644209
Creationists	0.0619607
learner	0.0613395
here.	0.061154
Mississippian	0.0604128
plutocrat	0.0599039
voyeur	0.0597317
Mohamad	0.0595396
hillbilly	0.0595258
Baz	0.0594824
"big leaguer"	0.0593754
Chinese-Americans	0.0590478
"jumping up and down"	0.058861
birder	0.0588576
cardholders	0.0583951
sadist	0.0579497
Scrooge	0.057917
mainlanders	0.0578285
McMullen	0.0577476
"risk taker"	0.0577084
imp	0.0573379
workmen	0.0572373
"black person"	0.0569691
Hawaiians	0.0569099
Luddite	0.0567784
lumberjack	0.0561824
"Puerto Rican"	0.0558928
Hick	0.0558713
loony	0.0555651
Minnesotan	0.0548014
"Sri Lankans"	0.0547978
"young person"	0.0547713
Methodist	0.0546181
"Cuban Americans"	0.0544664
"world traveler"	0.0544413
rube	0.0539295
"army engineer"	0.0538857
choirboy	0.053694
"throwing away"	0.0534389
motoring	0.0532761
"guardian angel"	0.0531963
instrumentalist	0.0531904
"paying back"	0.0531216
"church member"	0.0530677
brunette	0.053056
agnostic	0.0530274
Floridian	0.05263
Talal	0.0525906
fief	0.0524636
urbanites	0.0522029
Kashmiris	0.0519953
"important person"	0.0519659
Yoakam	0.051963
"blank check"	0.0518641
queer	0.0516377
"professional golfer"	0.0514804
lookin	0.0513158
Brezhnev	0.0510565
idealist	0.0504049
"Jehovah's Witnesses"	0.0503954
"San Franciscans"	0.050328
"Howdy Doody"	0.0498447
ILOVEYOU	0.0497917
speller	0.0495222
"white person"	0.0494632
wordsmith	0.0492063
Northerner	0.0491387
"Albanian Kosovars"	0.0491371
Houdini	0.0490794
"good person"	0.0489934
"American plan"	0.0488265
exerciser	0.0488038
eon	0.0487361
meatpackers	0.0484369
theatergoer	0.0483072
"draft dodger"	0.0482874
"Martin Luther King III"	0.048255
"ball club"	0.0481301
knucklehead	0.0481103
al-Nahyan	0.0481013
"all clear"	0.0479966
transsexual	0.0475944
out-of-towners	0.0475744
holidaymaker	0.0473561
VCs	0.0472392
Latvians	0.0472237
"married man"	0.0472204
handicapper	0.0470319
"sports fan"	0.0469742
Philanderer	0.0469633
registrant	0.0469151
enumerators	0.0467229
grown-up	0.0464992
purist	0.0464543
Bonanno	0.0464178
zombie	0.0463788
filmgoers	0.0461093
"wasting time"	0.0460871
realist	0.0460822
"sitting duck"	0.0460148
"foster parent"	0.0460079
howdy	0.0457715
"guitar player"	0.045762
do-gooder	0.045646
"about @@@ million yuan"	0.0454746
Cuban-Americans	0.0454479
hippy	0.0453945
al-Saud	0.0453814
Cooley	0.0452824
"fashion designer"	0.0452708
Angelenos	0.0452183
bluefin	0.0452018
"food company"	0.0451775
"Southern Democrats"	0.0451181
al-Maktoum	0.0450823
Levitch	0.0450562
first-rounder	0.0449653
"blue blood"	0.044929
worrier	0.0448643
contrarian	0.0448502
"temporary worker"	0.0448228
Baptists	0.0447582
"car dealer"	0.0447298
adopters	0.0446098
"New York Republicans"	0.0446097
"Howard Hughes"	0.0446014
weatherman	0.0445489
niner	0.0445235
"poor man"	0.0443728
Fahd	0.0442843
Bostonians	0.0442385
earthling	0.0441902
"picture frame"	0.0441281
alarmist	0.0440468
Lobo	0.0440421
"stamp collector"	0.0439632
Minuet	0.0438805
"South Carolinian"	0.0438489
businesswoman	0.0436906
restaurateur	0.0435493
Slav	0.04354
Slovenian	0.0435374
"paying attention"	0.0435172
Chicagoans	0.0434935
sucker	0.0434149
Afrikaner	0.0433953
Nahyan	0.0433208
optimist	0.0432884
suburbanite	0.0432381
Bragg	0.0431621
Tatar	0.043085
"Kosovo Serbs"	0.0430842
Zairean	0.0430003
woodworker	0.0429751
onlooker	0.0429203
"communications service"	0.0428442
simpatico	0.0427329
proactive	0.042664
"gray whale"	0.0426259
Fabius	0.0426031
whistle-blowers	0.0425362
"married woman"	0.0425006
procrastinator	0.0422788
Northpoint	0.042268
"car horn"	0.0422247
snob	0.0422056
beekeeper	0.0421602
guessing	0.0421155
old-timer	0.0420669
Stroganoff	0.0420217
innkeeper	0.0419578
Namibian	0.0419421
Leuchter	0.0419195
vagrant	0.0418197
waterfowl	0.0417891
Goldin	0.0417555
pacifist	0.0417302
Basques	0.0416668
"slip of paper"	0.0416557
Beijingers	0.0415977
saver	0.0415577
Duvalier	0.0414969
up-front	0.0414802
PDA	0.04148
goosebumps	0.0414248
Iowan	0.0413695
Ecuadoreans	0.041358
"big spender"	0.0413348
"media property"	0.0412435
"Star-Spangled Banner"	0.0411725
))
(Berlioz (desc 1623.91) (sims
Mozart	0.203442
Ravel	0.192893
Schumann	0.191357
Tchaikovsky	0.189227
Brahms	0.171287
Verdi	0.150035
Shostakovich	0.147021
Mahler	0.144714
Chopin	0.144213
Debussy	0.139879
Stravinsky	0.139108
Liszt	0.136896
Puccini	0.132735
Beethoven	0.12138
Prokofiev	0.118981
Schoenberg	0.118635
Strauss	0.11747
Rossini	0.116108
DVORAK	0.111521
Messiaen	0.109812
Schubert	0.101524
Bruckner	0.100501
Rachmaninoff	0.096089
Haydn	0.0947881
Gump	0.0944269
Boulez	0.092654
"Philip Glass"	0.0889965
Bellini	0.088573
Bach	0.08812
Wagner	0.0835032
Bolcom	0.0773296
Ives	0.0705556
"John Williams"	0.070459
Archimedes	0.0696334
Bernstein	0.0694275
"Richard Strauss"	0.0692441
"Andrew Lloyd Webber"	0.0689531
Britten	0.0687571
Purcell	0.0649258
Bartok	0.0628827
Copland	0.0598615
"Leonard Bernstein"	0.0594946
Mendelssohn	0.0592325
decker	0.0583699
Webern	0.0554122
"Salvador Dali"	0.052232
Handel	0.0505926
Harbison	0.0497092
Nutcracker	0.0484827
Elgar	0.0478812
"Andre Previn"	0.0477477
LaChiusa	0.0477144
"Mahatma Gandhi"	0.0467398
Sakyamuni	0.0463356
Vivaldi	0.0454419
Gluck	0.0449043
"Randy Newman"	0.0428664
"Laurie Anderson"	0.0425402
"Karl Marx"	0.0424378
"LA BOHEME"	0.0417785
Monteverdi	0.0413461
"Amazing Grace"	0.040743
))
(Berlusconi (desc 2277.29) (sims
"Silvio Berlusconi"	0.195538
Luzhkov	0.14909
D'Alema	0.144116
Mikhailov	0.142731
Gusinsky	0.142676
Yadav	0.142592
Djukanovic	0.123059
Seselj	0.122517
Bulatovic	0.122352
Hofer	0.12125
Craxi	0.118953
Deri	0.118403
Yazdi	0.118323
Agca	0.116043
Haughey	0.114263
Izetbegovic	0.113813
Levitt	0.113236
Sharansky	0.112857
Lazarenko	0.112516
Ecevit	0.112433
Erbakan	0.110667
Chaudhry	0.109641
Kostunica	0.109462
Zhirinovsky	0.109227
Ouattara	0.109204
"De Klerk"	0.108504
Natale	0.107511
Papon	0.107288
Bhutto	0.107218
Jovanovic	0.105513
Rossello	0.104585
Raduyev	0.104398
Bruton	0.103748
Gutman	0.103235
Berenson	0.102751
Cardoso	0.102657
Plavsic	0.102349
"Al Fayed"	0.101767
Fabius	0.101527
Alarcon	0.101455
Juppe	0.100812
Ruehe	0.100195
Yavlinsky	0.100078
"Bin Laden"	0.0999364
Chavalit	0.0996286
Barrionuevo	0.098671
Nasrallah	0.0982305
Tsvangirai	0.098227
Dodik	0.0979772
Meciar	0.0974761
Khalil	0.0973356
Nano	0.097223
Harris-Lewis	0.0969693
Symington	0.096716
Bildt	0.096397
Ranariddh	0.0956575
Demaci	0.0956289
Villanueva	0.0952927
Zuma	0.0951986
Lacresha	0.0945787
Hasina	0.0943635
Meguid	0.094223
Shayler	0.0936026
Guei	0.0935069
Markovic	0.0932783
Berisha	0.0932036
Chuan	0.0930109
Einhorn	0.0928608
Speight	0.0928182
Wenger	0.0927569
Madrazo	0.0926316
Karbaschi	0.0920963
Priebke	0.0919759
Akayesu	0.0919748
Bakaly	0.0916841
Sankoh	0.0916408
Aznar	0.0914867
Jayalalitha	0.0911381
Koroma	0.09087
Strauss-Kahn	0.0906077
Orban	0.0904112
Koirala	0.0902622
Trie	0.0901143
Venables	0.0900763
Seleznyov	0.0899639
Berezovsky	0.0898021
Merlino	0.0897814
Poplasen	0.0892145
Kaunda	0.0886151
Gosper	0.0883366
Buzek	0.0883312
Megret	0.0882377
Lissouba	0.0878308
Drabinsky	0.0875692
Mordechai	0.0874679
Abernathy	0.087292
Beckwith	0.0870663
Zeroual	0.0867864
Whitacre	0.0866387
LeFave	0.0863106
Draskovic	0.0862881
Malik	0.0855166
Bondevik	0.0854202
Caddell	0.0853451
Boesak	0.0852548
Mejia	0.0852413
Nebiolo	0.0852395
Basayev	0.0851871
Kulikov	0.0850855
"Vladimir Zhirinovsky"	0.0849281
McDougals	0.0847676
Jelisic	0.0846003
Yastrzhembsky	0.084495
Borodin	0.0843928
Shinn	0.0843095
"government minister"	0.0843003
Ritter	0.0842856
Westendorp	0.0841481
Gantamirov	0.0841277
Maslyukov	0.0840889
Schell	0.0840717
Rugova	0.0839699
Mudge	0.0839031
Zou	0.0838547
Bove	0.0838034
"Dos Santos"	0.0837575
Vasquez	0.0837184
Shipman	0.0836725
Fortier	0.0836023
Windom	0.0835723
Chand	0.0835535
Fuhrman	0.0835082
McVeigh	0.0834224
Berri	0.0833736
"Raul Salinas"	0.0832335
Jewell	0.0830267
"John Howard"	0.0827221
Imelda	0.0825924
Sanan	0.0823985
Moscoso	0.0823531
Yilmaz	0.0823206
Musa	0.0822848
Gullit	0.0822008
Hoffa	0.0821794
Djindjic	0.0821134
Chevenement	0.0820892
Rau	0.082034
Sharif	0.0820241
Verney	0.0819897
Coia	0.0819359
Amato	0.0818877
Katsav	0.0818761
Kagame	0.0818269
Coolio	0.0816339
Sato	0.0816077
Rabbani	0.0815334
Carollo	0.08152
Duisenberg	0.0814645
Gargan	0.0814522
Hariri	0.0813748
Kinkel	0.0812984
Napolitano	0.0809585
Garcetti	0.0809225
Majko	0.0808568
Blatter	0.0807941
Keating	0.08071
Hekmatyar	0.0807091
Nikitin	0.0805408
Obasanjo	0.0805332
Hamid	0.0803559
Sharma	0.0801256
Kazhegeldin	0.0800014
Mahdi	0.0799237
Deuba	0.0797494
Khamenei	0.0791718
Ashrawi	0.0791408
Espinosa	0.0791229
Arnault	0.079102
Cianci	0.0790596
Claes	0.0790556
Fujimori	0.0790158
Shays	0.079011
"Le Pen"	0.0790046
Lileikis	0.0788454
Sarid	0.0786527
Sebaggala	0.0785763
Klestil	0.0782048
Rafsanjani	0.0781184
Banzer	0.0780776
Aristide	0.0780624
Buthelezi	0.0779488
KEVORKIAN	0.0778878
Kohl	0.0778719
Rao	0.0778343
Boueiz	0.0777495
Riordan	0.077685
Wolfensohn	0.0776608
Nkomo	0.0775761
Gadhafi	0.0775143
Longo	0.0774242
))
(berm (desc 1822.86) (sims
knoll	0.110576
cofferdam	0.0994608
Ellipse	0.0936098
Igloo	0.0851532
darkroom	0.0827368
dune	0.0816579
dike	0.0798237
median	0.079213
embankment	0.0771177
"athletic field"	0.076771
"fire wall"	0.0736293
"pitcher's mound"	0.0713037
ledge	0.0706137
airstrip	0.0703321
levee	0.0676096
divider	0.0672304
footpath	0.0650053
"ice crystal"	0.0635787
"oil slick"	0.0620894
marshland	0.061992
dyke	0.0612664
snowpack	0.0610065
"sewage system"	0.0602435
scaffold	0.0602425
amphitheater	0.0596288
patio	0.0594428
"double boiler"	0.0593325
"particle accelerator"	0.0592636
"defense mechanism"	0.0591512
fortification	0.0588384
bluff	0.0577973
"second deck"	0.056622
"family unit"	0.0564727
subsidence	0.056214
"packing plant"	0.0561542
cordon	0.0559676
firewall	0.0559171
taxiway	0.0557207
"solid ground"	0.0555633
promontory	0.0554749
easel	0.0553277
"picnic area"	0.0551494
terrace	0.0548113
"repertory company"	0.0548055
menorah	0.0547527
"trading post"	0.054353
"landing strip"	0.0540584
alcove	0.0539206
"stone wall"	0.0538531
"Pennsylvania Station"	0.0538246
cocoon	0.0536593
walkway	0.0534478
indentation	0.0533655
semicircle	0.0530917
"ball field"	0.0530557
flagpole	0.0524932
upland	0.0516999
pirouette	0.0516024
clot	0.0514384
hauler	0.051342
"traffic circle"	0.051284
backstop	0.0512707
"opera company"	0.0512323
Matadi	0.0512232
firewalls	0.0510904
inspectorate	0.0508727
"life form"	0.0504295
chute	0.0503733
parkland	0.0502309
granule	0.0502098
gallstone	0.0500958
CSC	0.0498577
wrapping	0.0498324
"Gorges Dam"	0.0497898
"weather satellite"	0.0496499
"access road"	0.0492956
"demarcation line"	0.0492265
powerboat	0.0488726
"United Republic of Tanzania"	0.0488038
"putting green"	0.0486798
dribbler	0.0483652
apron	0.0476907
moat	0.047565
"septic tank"	0.0474012
"tourist hotel"	0.0473854
"search committee"	0.0473553
buffer	0.047295
railing	0.0472638
divot	0.0470093
gully	0.0469867
"electronic database"	0.0468462
Fiedler	0.0467139
"strong force"	0.0466879
seawall	0.0466776
weir	0.0465905
misperception	0.0464828
"landing craft"	0.0462286
"car park"	0.0461361
snowman	0.0458947
slush	0.0458816
"folding chair"	0.0456753
alleyway	0.0456111
"ski jump"	0.045489
scrim	0.0454067
treehouse	0.0454019
reef	0.0453965
"iron curtain"	0.0453608
heliport	0.0453281
"cargo area"	0.0453015
"radio telescope"	0.0451077
dampness	0.0449579
"water table"	0.0448686
potty	0.044832
smelter	0.0447232
"Washington Monument"	0.0446294
abacus	0.0445069
"bell tower"	0.0444909
nuclei	0.0444615
"domed stadium"	0.0440299
picketers	0.0437082
"sugar refinery"	0.0437054
waterfall	0.0435224
"highway system"	0.0432426
emulator	0.0431027
"dollar sign"	0.0431009
mulch	0.0430987
"baseball diamond"	0.0429689
sundial	0.0429226
birdhouse	0.0427712
scaffolding	0.0427626
sarcophagus	0.0426681
Nicol	0.042562
louver	0.0425125
"Terminal @"	0.0425041
"dirt track"	0.0424737
hyphen	0.0424664
"science museum"	0.0422306
netting	0.0421857
"cash crunch"	0.0421609
smokescreen	0.0420702
"African Economic Community"	0.0420438
"danger zone"	0.0420101
burr	0.0419792
"ice rink"	0.0419024
culvert	0.0418049
"endowment fund"	0.041738
latrine	0.0417197
"Ebbets Field"	0.041694
nave	0.0416383
superspeedway	0.0415996
"three schools"	0.0415673
"blind spot"	0.0415657
licking	0.0414837
updraft	0.0414145
"a few yards"	0.0414102
testicle	0.0413989
backboard	0.04123
sandbar	0.0411264
cyst	0.0411018
savanna	0.0409902
"ring road"	0.0408641
bulkhead	0.040782
enclosure	0.0407431
lockbox	0.0407393
"power cable"	0.0407271
"brain stem"	0.0406821
Grandstand	0.040662
"entertainment center"	0.0405695
uptrend	0.040569
"air bubble"	0.0405456
"gas well"	0.0405415
fissure	0.0405148
mockup	0.0405044
stadia	0.0404963
Canopy	0.0404665
overhang	0.0404465
dais	0.0403607
commotion	0.040329
"Super League"	0.0403209
sketchbook	0.0403168
"a few hundred yards"	0.0401841
horseshoe	0.040077
lapping	0.0400448
watchtower	0.040037
))
(Berman (desc 3568.02) (sims
Waxman	0.205327
Moakley	0.177924
COYNE	0.166824
Weldon	0.160086
Napolitano	0.155116
McIntyre	0.14962
Nadler	0.149224
Northup	0.147509
Pelosi	0.140608
Markey	0.139287
McInnis	0.138723
Doggett	0.138192
Engel	0.138122
Meehan	0.136382
Larson	0.13617
Rosenthal	0.135296
Bliley	0.134603
Danner	0.13261
McNulty	0.132052
Phelps	0.12954
Gilman	0.128366
Royce	0.127601
Condit	0.126783
Hahn	0.123073
McGovern	0.122665
Canady	0.120297
Delahunt	0.118559
Chabot	0.118469
McCollum	0.117758
Moran	0.117655
Jaffe	0.117563
Goode	0.117457
Grossman	0.115976
Gillespie	0.115866
DeFrantz	0.114737
Finkel	0.114484
Deutsch	0.114352
Ferrer	0.113775
Hybl	0.112465
Capps	0.111795
Callahan	0.111412
Hobson	0.111259
Reyes	0.111176
Rangel	0.110572
Largent	0.110493
Zuckerman	0.110164
Menendez	0.109623
Portman	0.10907
Hamlin	0.109015
Meeks	0.10703
Vogel	0.106815
Cummings	0.106715
McHugh	0.106545
Metcalf	0.106527
Leach	0.106426
Dixon	0.105262
Klink	0.105255
Gutierrez	0.104396
Thurman	0.104001
O'Neil	0.103069
O'Connell	0.10302
Isakson	0.102868
Farrell	0.102857
Schaffer	0.10245
Meissner	0.101955
Chambliss	0.101847
Sherman	0.101819
Barrett	0.101692
Linder	0.101608
Rendell	0.100714
Crowley	0.0999345
Fleischer	0.0998547
Neal	0.0998371
Pickett	0.0997544
Molinari	0.0996092
SHUSTER	0.0995313
Lowey	0.0993191
Rubenstein	0.0992874
Eizenstat	0.0988567
Armey	0.0987983
Houghton	0.0985966
Mahoney	0.0982317
Barlow	0.0980948
Friedman	0.0979172
Freedman	0.0977402
Dooley	0.0975563
Lowry	0.0973183
Levin	0.0970784
Copeland	0.0967261
Conyers	0.0965701
Tauzin	0.0964264
Rutherford	0.0964048
Duffy	0.0959256
Shapiro	0.0958654
PITTS	0.0957468
Blackwell	0.0952699
Meyers	0.0949267
Watkins	0.0947821
Hodler	0.0947618
Doyle	0.0946252
McDermott	0.0944861
Mckee	0.0942435
Caddell	0.093641
Siegel	0.0932777
Baum	0.0932418
Hanley	0.092929
Zuma	0.0925936
Kolbe	0.0925698
Lerner	0.0924787
Nicholson	0.092439
Cleary	0.0923829
Goss	0.0922849
Kirkpatrick	0.0921191
Epstein	0.0919581
Weil	0.0917014
Gephardt	0.0909985
Heinrichs	0.090962
Latham	0.0905981
Ebersol	0.0905168
Sweeney	0.0904526
Weiner	0.0904362
Dion	0.0901834
Rogan	0.0901401
Merritt	0.0898103
Weisman	0.0897101
Dingell	0.0895614
Farr	0.0894175
Feldman	0.0892059
Betts	0.0891064
Spitzer	0.08896
granger	0.0885885
Talebi	0.0885036
Sawyer	0.0883996
Healy	0.0883687
Midler	0.0882121
mica	0.0877381
Simons	0.0876539
Silverstein	0.0875386
Tomlin	0.0874157
Inhofe	0.0872615
Menchu	0.0868302
Woodard	0.0867633
Harman	0.086624
Ashrawi	0.0862265
fowler	0.0857554
Hagen	0.0856804
McKeon	0.0856434
Quinn	0.0849804
Boyle	0.0848609
Weinberg	0.0846418
Henley	0.08458
Cline	0.0844154
Kasich	0.0842239
Hyde	0.084136
Steele	0.0840832
Jensen	0.0840652
Rubinstein	0.0839732
Daniels	0.0839309
Katz	0.0838418
McConnell	0.0837672
O'Sullivan	0.0836796
Morse	0.0836463
Packard	0.0835076
Goldin	0.0834855
Levine	0.0834795
Zito	0.082957
Hecht	0.08288
Brenner	0.0827031
Pollack	0.0825021
Hardy	0.0822994
McIntosh	0.082072
Mullen	0.0819082
Mcbride	0.0817441
Jenkins	0.0815865
Evans	0.0814527
Ruehe	0.0813017
Byrne	0.0812803
Hevesi	0.0812181
Davidson	0.0811906
McDonald	0.081188
Patterson	0.0809696
Brazile	0.0807783
Adler	0.0807547
Barshefsky	0.0807431
Cowan	0.0806114
Harkin	0.0805202
Wendt	0.0804477
Rosen	0.0803894
Patten	0.0803612
Hadley	0.0803128
Kaplan	0.080283
Newhouse	0.0801988
McGrath	0.0801928
Sobel	0.0801883
Greenwald	0.0801541
Piot	0.0801015
Ulrich	0.0799787
Torricelli	0.0798599
Serrano	0.0798022
Schell	0.0797415
))
(Bermuda (desc 13098.9) (sims
Bahamas	0.148455
"Cayman Islands"	0.113643
"Puerto Rico"	0.112253
Barbados	0.108205
Antigua	0.105542
Jamaica	0.105334
"Dominican Republic"	0.0982846
Aruba	0.0948162
Hawaii	0.0932073
Grenada	0.0919006
"British Virgin Islands"	0.0918369
"Virgin Islands"	0.0906658
"Costa Rica"	0.0903085
Honolulu	0.0897055
Acapulco	0.0883595
Guam	0.087346
Caribbean	0.0859012
Nassau	0.085642
Iceland	0.0853564
Minneapolis	0.082058
"Key West"	0.0800088
"Atlantic City"	0.0799651
Ireland	0.0789118
Tahiti	0.0786093
Panama	0.0784498
Wilmington	0.077829
CANCUN	0.0777575
Florida	0.0777124
"San Salvador"	0.0772945
"Leeward Islands"	0.0766166
"Guatemala City"	0.0762687
"Trinidad and Tobago"	0.0762304
"New Orleans"	0.0761307
"U.S. Virgin Islands"	0.0758645
"San Francisco"	0.075723
Ensenada	0.0754954
"San Juan"	0.0748001
"La Paz"	0.0747963
Singapore	0.0747023
"West Palm Beach"	0.073653
Charleston	0.0733667
Akron	0.0733506
"Little Rock"	0.0731006
"Las Vegas"	0.0730908
"El Paso"	0.0729822
Cuba	0.0727549
"Sao Paulo"	0.0727378
Dominica	0.0725201
Mexico	0.0723829
Mauritius	0.0723163
"St. Petersburg"	0.0721149
Hartford	0.0718787
"Los Angeles"	0.0717449
Albany	0.0716692
Uruguay	0.0716466
Birmingham	0.0716455
"Des Moines"	0.0713742
Tampa	0.0709144
Switzerland	0.0708639
Geneva	0.0708338
"Netherlands Antilles"	0.0705786
Prague	0.0704968
anchorage	0.0704873
Paris	0.0702525
Vienna	0.0696886
"Bay Area"	0.0696107
"Mexico City"	0.0692921
"El Salvador"	0.0692016
Dublin	0.0691807
"Southern California"	0.0690581
LONDON	0.0690217
Belfast	0.0688392
"Florida Keys"	0.0687831
Naples	0.0687614
"Fort Lauderdale"	0.0687045
BOGOTA	0.0685973
Richmond	0.0685537
Norfolk	0.0685016
California	0.0684977
Cozumel	0.0684022
Orlando	0.0682248
Savannah	0.0680971
Galveston	0.0679846
Newfoundland	0.0678898
Havana	0.0678608
"New Zealand"	0.0676207
Alaska	0.0673034
"San Jose"	0.0671269
"New York City"	0.066985
Venezuela	0.0667568
Luxembourg	0.0667
Vancouver	0.0666001
WARSAW	0.0664895
Guatemala	0.0662194
Haiti	0.0660779
Amsterdam	0.0660604
"Santo Domingo"	0.065959
Fiji	0.0658608
Frankfurt	0.0657614
Istanbul	0.0656595
"Kansas City"	0.0656217
Antarctica	0.0655152
Pittsburgh	0.0654284
"Corpus Christi"	0.06512
"Oklahoma City"	0.0648505
Miami	0.0648023
Halifax	0.064773
Austin	0.0644705
Brunei	0.0644648
Taipei	0.0641497
"Rio de Janeiro"	0.0638104
"Salt Lake City"	0.0637512
Honduras	0.0637322
Senegal	0.0636882
Greenville	0.0635573
Montreal	0.0633977
Philadelphia	0.0633879
Rochester	0.0632203
Phoenix	0.0630719
Tucson	0.0630287
JOHANNESBURG	0.0630004
"St. Thomas"	0.0628883
BUCHAREST	0.0628826
Martinique	0.0627865
Glasgow	0.062628
"San Diego"	0.0625356
Venice	0.0624023
Auckland	0.0622896
"Palm Beach"	0.0621323
Seattle	0.0621209
Baltimore	0.062076
Scotland	0.0620232
BUDAPEST	0.0619705
Munich	0.0618312
Nicaragua	0.0618292
Beirut	0.0617621
Malta	0.0617464
Guadeloupe	0.0616954
"New Jersey"	0.0616849
Norway	0.061679
"Nova Scotia"	0.0616465
Ecuador	0.0615747
"Ho Chi Minh City"	0.0615611
Memphis	0.0615525
CARACAS	0.0615126
SEOUL	0.0612439
Concord	0.0611519
Liechtenstein	0.0610963
"St. Louis"	0.0609667
"Palm Springs"	0.0609471
"Fort Worth"	0.0608945
"St. Maarten"	0.0608525
Hungary	0.0608024
Eureka	0.0607354
Bahrain	0.0607269
Boise	0.0607237
Augusta	0.0607174
LISBON	0.0607021
Shanghai	0.0606929
Nantucket	0.0606893
Laramie	0.0606862
Hispaniola	0.0606229
"Cook Islands"	0.0605138
Chicago	0.0603752
Guyana	0.0603467
Estonia	0.0601504
Calgary	0.0601436
"South Florida"	0.0601252
Hamburg	0.0599686
Lima	0.0599202
Tokyo	0.0598137
"St. Lucia"	0.0596713
Columbus	0.0596694
"Long Beach"	0.0596054
Englewood	0.0595909
Argentina	0.0595664
Karachi	0.0594786
"San Antonio"	0.0594183
Port-au-Prince	0.0594066
"Santa Fe"	0.0592105
"Boca Raton"	0.059122
Nashville	0.0591059
Ambon	0.0590826
Houston	0.0590503
Dili	0.0590056
ZAGREB	0.0588848
Syracuse	0.0587521
Dallas	0.0586075
Luanda	0.0585657
"St. Croix"	0.0583449
Chile	0.0583371
Belgium	0.0583199
Charlotte	0.0582837
Greece	0.0582445
Ghana	0.0581859
"Papua New Guinea"	0.0581622
"Round Rock"	0.0581463
Zurich	0.058126
Seychelles	0.0581213
"Tel Aviv"	0.058068
))
(Bern (desc 4296.25) (sims
Zurich	0.169278
Makhachkala	0.155586
BASEL	0.148361
Gaborone	0.140638
Yerevan	0.140135
Tbilisi	0.139697
Berne	0.137072
Duesseldorf	0.136429
Windhoek	0.134323
Dushanbe	0.132248
Ljubljana	0.132224
Chisinau	0.130201
Basle	0.127496
Vladikavkaz	0.122781
Minsk	0.121341
Suva	0.120905
Rabat	0.120007
BRUSSELS	0.117834
Pretoria	0.117694
Port-au-Prince	0.117192
PALERMO	0.117075
"Santo Domingo"	0.117035
"Port Moresby"	0.116686
Accra	0.115266
Vilnius	0.114969
Kigali	0.113999
CARACAS	0.112964
Monrovia	0.110967
Tripoli	0.11026
Bishkek	0.10987
Lausanne	0.109714
"La Paz"	0.109351
Bamako	0.109004
Sarajevo	0.108967
MANAMA	0.108932
Belfast	0.108274
Khartoum	0.107813
Riyadh	0.107804
KIEV	0.107389
Maseru	0.103958
TEGUCIGALPA	0.103003
Tashkent	0.102797
Dublin	0.101445
Bujumbura	0.100853
Prague	0.100753
Mbabane	0.100336
Munich	0.0999874
Dusseldorf	0.0998721
Bissau	0.0996556
Lugano	0.0991367
Geneva	0.0990658
Almaty	0.0990475
BRATISLAVA	0.0983792
Luanda	0.0980398
Asmara	0.0979261
HARARE	0.0966707
Kuching	0.0964915
MAPUTO	0.096163
Reykjavik	0.0961042
Kinshasa	0.0958007
Heidelberg	0.0956988
LISBON	0.0956092
Madrid	0.0955346
Quito	0.0955269
BRASILIA	0.0954476
Berlin	0.0954229
Asuncion	0.0952995
Lucerne	0.0952463
Santiago	0.095067
Astana	0.0950468
Bangui	0.0949085
Algiers	0.0941925
Nairobi	0.0939743
Dakar	0.0938105
NICOSIA	0.0937095
"Cape Town"	0.0936422
Moroni	0.093616
Dili	0.0935424
Baku	0.0933278
Tallinn	0.0927178
Muscat	0.0921477
"Addis Ababa"	0.0920776
ZAGREB	0.0920117
Hamburg	0.0918415
"San Salvador"	0.0917442
BOGOTA	0.0915196
Beirut	0.091397
"Banja Luka"	0.0911993
Skopje	0.0908059
Podgorica	0.0907998
Honiara	0.090212
"Phnom Penh"	0.089976
"Tel Aviv"	0.0896781
Oslo	0.0895513
Amsterdam	0.0894655
Rome	0.0892407
Abuja	0.0888402
SANAA	0.0883295
Copenhagen	0.0880733
MINEOLA	0.0880447
Vienna	0.0876831
Havana	0.086912
STOCKHOLM	0.0868115
"San Sebastian"	0.0865768
Milan	0.0863271
Bonn	0.0860413
Bombay	0.085581
Frankfurt	0.0855474
Lome	0.0849593
Delhi	0.0845615
Kabul	0.084052
BUCHAREST	0.0840318
TIRANA	0.0838906
Lucknow	0.0838894
Lusaka	0.0838007
Srinagar	0.0836462
KAMPALA	0.083509
Cologne	0.083207
Tehran	0.0831395
Doha	0.0831145
"Mexico City"	0.0831122
Aachen	0.0830933
Stuttgart	0.0830737
Lagos	0.082291
Edinburgh	0.0822704
"Guatemala City"	0.082159
BUDAPEST	0.0820741
Strasbourg	0.0820502
Islamabad	0.0816536
Pristina	0.0810021
Tokyo	0.0808539
Linz	0.0804246
Amman	0.079699
Yaounde	0.0796779
Jayapura	0.0790049
"New Delhi"	0.0787925
"English Football Association"	0.0784548
Durban	0.0783265
Nagoya	0.0777215
Dodoma	0.0775658
ANKARA	0.0774595
Hobart	0.0774395
Peshawar	0.0770792
Lubumbashi	0.0770306
"Ho Chi Minh City"	0.0770207
Murmansk	0.0769685
"Buenos Aires"	0.0768357
Riga	0.0764522
Davos	0.0763973
Helsinki	0.0763115
Managua	0.0762984
ATHENS	0.0757671
Abidjan	0.075701
Kingston	0.075694
Madras	0.0754872
JOHANNESBURG	0.0754537
Engelberg	0.0753815
Antwerp	0.0753051
Kandahar	0.0753046
TUNIS	0.0750016
Newark	0.0748079
Taipei	0.0745318
WARSAW	0.0745234
SOFIA	0.0743075
SEOUL	0.0740474
Sidon	0.0740146
Ramallah	0.0739234
"Port Elizabeth"	0.0737879
Guayaquil	0.0736452
"Dar es Salaam"	0.0735657
Freetown	0.0729523
"San Juan"	0.0729143
Vientiane	0.0727991
Brisbane	0.0726706
Manila	0.0725601
Brazzaville	0.0724773
MELBOURNE	0.0724449
Goteborg	0.0722421
Birmingham	0.0722303
Khabarovsk	0.0720343
Jakarta	0.0720129
Ambon	0.0719669
"Oklahoma City"	0.0718932
Damascus	0.071771
HANOI	0.0717435
Karachi	0.0717276
Grozny	0.0717185
Kandy	0.0715471
Alexandria	0.0713136
Genoa	0.0711835
PATNA	0.0709797
Saigon	0.0705976
Glasgow	0.0703171
Baghdad	0.0703102
TRENTON	0.0702389
"Gaza City"	0.0702196
Kupang	0.0699351
"St Petersburg"	0.0697966
COLOMBO	0.0695603
Osaka	0.0695543
))
(Bernabe (desc 1025.41) (sims
Icahn	0.12425
Bubb	0.107236
Sumaye	0.10561
Collymore	0.104914
Severino	0.0979044
Westendorp	0.0958014
Masire	0.0896593
Neeman	0.0888429
Waigel	0.0886218
"Royal Bank"	0.0880735
Juma	0.0875085
Kornberg	0.0858724
Hiddink	0.0856831
Fernandes	0.0822654
Arens	0.0813162
Teresi	0.0808523
Schottenheimer	0.0801405
Lind	0.0801039
Zadornov	0.0799394
Talebi	0.0799067
Arnault	0.0798599
Nanula	0.0788199
Passarella	0.0785205
Manley	0.0781415
Moratinos	0.0779771
Arbour	0.0775109
Scharping	0.0768585
kraut	0.0767974
BNFL	0.0762516
Rothenberg	0.0761138
Ivester	0.0751773
Naumann	0.0750065
Duisenberg	0.0745037
Liggett	0.0741101
Velayati	0.0739173
Wilhelm	0.0738857
Kassirer	0.0738313
Kennard	0.0734486
Ruthardt	0.073409
Jayakumar	0.0730658
"Pacific Century"	0.0730459
Komura	0.0729893
Ruehe	0.0727734
"Robert Aventajado"	0.0724327
Cortines	0.0722084
Zarb	0.0719679
Hynes	0.0712549
Stoyanov	0.0711709
"Industry Ministry"	0.0710407
"Bank of Scotland"	0.0705811
"Banque Nationale"	0.0703704
"Superintendent Ruben Zacarias"	0.0701769
Mackey	0.06968
Tarrin	0.0693707
"Wolfgang Schaeuble"	0.0692952
Cooley	0.0690852
Niyazov	0.0686723
TALBOT	0.0682499
Havelange	0.0681665
USEC	0.0680974
Maldini	0.0680772
Gullit	0.0677771
Holl	0.0676281
"Chief Executive Tung Chee-hwa"	0.0675054
Seleznyov	0.0674615
Bettman	0.0673748
Hrawi	0.0671761
Ishihara	0.0670032
Stronach	0.0668707
Jacquet	0.066849
Sensenbrenner	0.0665805
Khai	0.0662865
"British Foreign Office"	0.0662387
Romer	0.0659059
"EU Commission"	0.0655381
Barzani	0.0652317
Coelho	0.0651684
Marineau	0.065022
Banharn	0.0650214
Venables	0.0649878
Mokhehle	0.064919
Eizenstat	0.0645952
Ben-Ami	0.0644173
Windom	0.0643598
Kasoulides	0.0642957
Ribbeck	0.0641455
DEP	0.0639581
Shaheen	0.0639458
al-Tikriti	0.0638239
Yastrzhembsky	0.0637222
Yadav	0.0637053
"de Charette"	0.0636828
Kouchner	0.0636735
Esser	0.0635585
Malu	0.063361
Surin	0.0632951
Levitt	0.0632911
Abdel-Meguid	0.0632643
Nasrallah	0.0631376
Koroma	0.0625292
Milutinovic	0.0623689
Reinhardt	0.0616636
Rongen	0.061534
Caddell	0.0615215
Kyl	0.0615037
"Ruud Gullit"	0.0614935
Lautenberg	0.0610826
Huber	0.0609177
Wetherell	0.0608719
Ghalib	0.0608547
"John G. Rowland"	0.0607024
"Total Fina"	0.0606437
Maritz	0.0605452
Schmid	0.0603006
Scalfaro	0.0602926
Murayama	0.0602301
"Rick Neuheisel"	0.0601949
Cem	0.0601141
Rylander	0.0600868
Banzer	0.0600848
Rifkind	0.0600759
Zagallo	0.0599763
Greenwald	0.0599274
Santer	0.0598598
Musharraf	0.0597992
Shareh	0.059577
Baz	0.0594887
Zacarias	0.0593912
Eisenman	0.0593846
Dodik	0.0593024
"Amos Wako"	0.0591744
Guei	0.0591384
Singson	0.0590925
Alioto	0.0590642
Magaziner	0.0589353
"Tariq Aziz"	0.0588594
Demaci	0.0588506
Piggie	0.0587605
Vasile	0.0587591
Orban	0.0586889
el-Bashir	0.0586747
"Al Fayed"	0.0585008
Lugar	0.0584933
Gillick	0.0584153
Ghosn	0.0583787
"Secretary General Boutros Boutros-Ghali"	0.0582688
Taft	0.0580886
al-Sahaf	0.0580482
Breaux	0.0580204
Akayev	0.0579397
Whipple	0.0578619
Aquino	0.0578387
Hyde	0.0578097
"Israeli Foreign Ministry"	0.0577476
Cavallo	0.057593
Ikimi	0.0575851
Tuberville	0.0573702
Aznar	0.0573086
Natale	0.0572297
Warshaw	0.0571436
Schott	0.057089
Glickman	0.0570229
Boueiz	0.0570126
D'Alessandro	0.0569772
O'Neil	0.0569211
Dewine	0.056771
Goff	0.0567708
Modise	0.056767
Koirala	0.0566455
Mandelson	0.0566061
Schrempp	0.0564706
Chavalit	0.0563994
IBRA	0.0563813
"Phelps Dodge"	0.0563748
Yazdi	0.0562233
Carollo	0.0562059
"De Klerk"	0.0561144
Beilin	0.0559774
Sutiyoso	0.0559503
Leahy	0.0558192
Harmoko	0.0556545
"Fatos Nano"	0.0556015
"Clinton Administration"	0.0555031
Axworthy	0.0554723
Difrancesco	0.0554628
Trulock	0.0553962
Klima	0.0553637
Rudman	0.0552459
Ruben	0.0552317
Koskinen	0.0552084
Chuan	0.0551916
"De Soto"	0.0551071
Oliveira	0.0550255
Slatkin	0.0549999
Cramer	0.0549471
Kozeny	0.0549299
Rowland	0.0549288
Engel	0.0548542
Crabtree	0.0547686
EC	0.054761
))
("Bernadette Peters" (desc 1821.63) (sims
"Julie Andrews"	0.124196
"Kathleen Turner"	0.0962569
"Laurence Fishburne"	0.0863915
"Diana Ross"	0.084366
"Brian Dennehy"	0.0830071
"Sidney Poitier"	0.0828754
"Wesley Snipes"	0.0828695
"Ally Sheedy"	0.0795061
"Nathan Lane"	0.07838
"Hilary Swank"	0.0781577
"Sally Field"	0.0752132
"Harvey Keitel"	0.073593
"Patrick Stewart"	0.0719094
"Liza Minnelli"	0.0717283
"Sigourney Weaver"	0.0715278
"Kim Basinger"	0.0701882
"Helen Mirren"	0.0698634
"Faye Dunaway"	0.0695475
"Jennifer Love Hewitt"	0.0692135
"Annette Bening"	0.0683268
"Angelina Jolie"	0.068326
"Carol Burnett"	0.0673779
"Jodie Foster"	0.0668077
"Keanu Reeves"	0.0665359
Bjork	0.0664341
"Angela Bassett"	0.0663569
"Walter Matthau"	0.0655042
Cleese	0.0649552
"Matt Damon"	0.0646782
"Samuel L. Jackson"	0.0640898
"Kevin Spacey"	0.0637062
"Juliette Lewis"	0.0632262
"Sela Ward"	0.0622179
"Ed Harris"	0.0617991
"Audra McDonald"	0.0616831
"James Van Der Beek"	0.0608638
"Bill Murray"	0.060823
"James Earl Jones"	0.0606903
"Kevin Costner"	0.0606804
"Christina Ricci"	0.0605452
"Jessica Lange"	0.0601447
"Chow Yun-Fat"	0.060008
"Natasha Richardson"	0.0598879
swank	0.0596724
"Ashley Judd"	0.0595717
"Jeff Bridges"	0.0594736
"Richard Dreyfuss"	0.0591268
"Roberto Benigni"	0.0588437
"Kathy Bates"	0.0586319
"Halle Berry"	0.0586303
"Steve Martin"	0.058619
"Janet McTeer"	0.05843
Streep	0.0582668
"Patricia Arquette"	0.0581955
"Chevy Chase"	0.0578115
"Russell Crowe"	0.0575889
"Kirk Douglas"	0.0575109
"Gene Hackman"	0.0570566
"Catherine Deneuve"	0.0570055
"Dame Judi Dench"	0.0569067
"Joseph Fiennes"	0.0568688
"Michelle Pfeiffer"	0.0567492
"Albert Brooks"	0.0567437
"AL PACINO"	0.056611
"Jason Alexander"	0.0565824
"Martin Lawrence"	0.05648
"Burt Lancaster"	0.0564012
"Robert DeNiro"	0.0562846
"Rene Russo"	0.0562388
"Whoopi Goldberg"	0.0561836
"Mandy Patinkin"	0.0561754
"Sarah Jessica Parker"	0.0559351
"Henry Fonda"	0.0558491
"John Leguizamo"	0.0554433
"Christopher Plummer"	0.0554192
"Michael J. Fox"	0.0554064
"Eddie Murphy"	0.0553731
Dodik	0.0552787
"Spencer Tracy"	0.0550791
"Don Cheadle"	0.0550302
"William Hurt"	0.0549455
"Matthew Broderick"	0.054941
"David Hyde Pierce"	0.0549103
"Joan Allen"	0.0546715
"Gregory Peck"	0.0544411
"Famke Janssen"	0.0540298
"Jon Voight"	0.0539283
"Robert de Niro"	0.0534039
"Jamie Foxx"	0.0533512
"Sean Connery"	0.0528343
Costner	0.0527946
"Alicia Silverstone"	0.0527085
"Hugh Grant"	0.0526853
"Kate Winslet"	0.0525711
"Ian Holm"	0.0525497
"Bobby Brown"	0.052417
Dennehy	0.0523568
"Kevin Bacon"	0.0523461
"Nicole Kidman"	0.0523391
"Renee Fleming"	0.052302
"Brendan Fraser"	0.052166
"Marlon Brando"	0.0520583
"Helen Hunt"	0.0520539
"Jeremy Irons"	0.0519603
"Christian Slater"	0.0518956
"Ewan McGregor"	0.0517646
"Scotty Bowman"	0.0514681
Cher	0.0513884
Verney	0.0513441
"Garry Shandling"	0.051221
"Jack Lemmon"	0.0511898
"Val Kilmer"	0.0510793
Midler	0.0510542
"Ethan Hawke"	0.0507167
"Jim Carrey"	0.0506026
"Lana Turner"	0.0505056
"Alfre Woodard"	0.0504067
"Michael Douglas"	0.0502749
"Edward Norton"	0.0502319
"James Cagney"	0.0502174
"Peter Fonda"	0.0501979
"Dennis Miller"	0.0500509
"Bill Pullman"	0.0499943
Braugher	0.0499353
McLemore	0.0498233
"Pierce Brosnan"	0.0497851
rowdiness	0.0496929
"Bette Davis"	0.0493469
"Reese Witherspoon"	0.0493304
"Raging Bull"	0.0492912
"Jimmy Smits"	0.0492819
"Vanessa Redgrave"	0.0492745
"Matthew McConaughey"	0.0491886
"Chris Klein"	0.0491261
"Natalie Portman"	0.0489347
"Johnny Depp"	0.0486864
"Bebe Neuwirth"	0.0486831
"Christian Bale"	0.0486653
"Norm MacDonald"	0.0486534
"Cate Blanchett"	0.0486037
"Tobey Maguire"	0.048399
"Vivien Leigh"	0.048271
"Kelsey Grammer"	0.0481712
"JOHN TURTURRO"	0.0480372
"Heather Graham"	0.0479596
"John Lithgow"	0.0478569
"Humphrey Bogart"	0.0477911
"Uma Thurman"	0.047658
"Tracey Ullman"	0.0476334
"Lily Tomlin"	0.0476284
"Janet Jackson"	0.0475827
"Ted Danson"	0.0475645
"Kirsten Dunst"	0.0474169
Broderick	0.0473042
"Charlize Theron"	0.0472806
"Bora Milutinovic"	0.0471547
"Warren Beatty"	0.0469858
Hagelin	0.0468927
"Mel Gibson"	0.0468403
"Denzel Washington"	0.0467252
"Celine Dion"	0.0466774
"Edward Furlong"	0.046614
"Stephen Rea"	0.0465529
"Judi Dench"	0.0464468
"Jim Harrick"	0.0464005
"Natalie Cole"	0.0463739
"Leelee Sobieski"	0.0463023
Katsav	0.0462753
"Holly Hunter"	0.0461054
"Carlos Santana"	0.0459904
"Nigel Hawthorne"	0.045954
Kilborn	0.0459382
"Anne Heche"	0.0458223
"Gwyneth Paltrow"	0.0457948
"Richard Gere"	0.0456074
"Antonio Banderas"	0.0454668
"Jay Mohr"	0.0453888
"Richard Burton"	0.0453777
Dragila	0.0453553
"Tommy Lee Jones"	0.0453076
Venables	0.0452741
"John Goodman"	0.0451797
"Diane Keaton"	0.0451585
"religious ceremony"	0.0451085
"Michael Clarke Duncan"	0.0449779
"Claire Danes"	0.0449624
"Mary J. Blige"	0.0448844
"Tom Cruise"	0.044398
"Kim Jong-pil"	0.0443339
"James Gandolfini"	0.0441068
"Sean Penn"	0.0438361
"Rob Lowe"	0.0438267
"Taye Diggs"	0.043685
Kingsley	0.0436502
"Emily Watson"	0.0435988
"Ian McKellen"	0.0435831
"Stanley Tucci"	0.0430918
"Renato Ruggiero"	0.0430573
"Robin Williams"	0.0430291
"Tom Selleck"	0.0428941
))
(Bernama (desc 4510.41) (sims
Antara	0.375919
Ansa	0.30959
WAM	0.299736
Lusa	0.299374
Notimex	0.286937
Petra	0.273775
BS	0.260996
IRNA	0.254986
"Associated Press of Pakistan"	0.250904
"Agence France Presse"	0.250903
Tanjug	0.249274
RSS	0.244477
Angop	0.241669
Jana	0.240822
Tass	0.232117
"Egyptian Middle East News Agency"	0.226358
MTI	0.226191
"Business Times"	0.223279
"Saudi Press Agency"	0.22281
"Indonesian Observer"	0.22102
MENA	0.220757
"Straits Times"	0.217622
"Egyptian Gazette"	0.216373
KPL	0.216123
"Kyodo News"	0.211066
Kyodo	0.210867
"Kyodo News Service"	0.206101
"Press Trust of India"	0.200914
Noticias	0.200751
"Thai News Agency"	0.194035
"Korean Central News Agency"	0.187822
Interfax	0.186984
"Kuwait News Agency"	0.186314
"Ethiopian News Agency"	0.185812
"Australian Associated Press"	0.185671
"Philippine News Agency"	0.184224
"New Nigerian"	0.183908
"Moscow Times"	0.183675
ATA	0.183291
"Israel Radio"	0.181939
"News Agency of Nigeria"	0.181706
"Ghana News Agency"	0.181493
"Zambia News Agency"	0.180797
"Jakarta Post"	0.180437
"Business Day"	0.178843
"Dow Jones Newswires"	0.174542
"Tehran Times"	0.17421
"Kathmandu Post"	0.173715
AFP	0.173235
"Daily Star"	0.172753
"South African Press Association"	0.171841
"Khaleej Times"	0.171806
"Iraqi News Agency"	0.170929
"Agence France-Presse"	0.170612
"East African Standard"	0.16922
"Business Weekly"	0.168942
Sowetan	0.168534
Reuters	0.166309
"Daily Times"	0.165672
"Jerusalem Post"	0.165236
"Zimbabwe News Agency"	0.164716
SAPA	0.162779
Itar-Tass	0.16208
"Islamic Republic News Agency"	0.161765
Haaretz	0.161408
"British Broadcasting Corporation"	0.16034
"Rwanda News Agency"	0.160226
TT	0.160006
Anatolia	0.158026
"Radio Uganda"	0.15783
"Southern African Broadcasting Association"	0.157777
"Middle East News Agency"	0.157253
"South China Morning Post"	0.155562
"New Vision"	0.152392
"Bangkok Post"	0.151672
"Daily Nation"	0.150097
"Antara News Agency"	0.149431
al-Hayat	0.145935
"Turkish Daily News"	0.144552
"Cyprus News Agency"	0.144332
"Jordan Times"	0.143942
"Kenya Times"	0.143906
INA	0.141544
"China Daily"	0.141313
"Gulf News"	0.140588
"U.S. Labor Department"	0.138971
"Athens News Agency"	0.137074
"Vietnam News Agency"	0.137056
KUNA	0.13684
Kommersant	0.135698
"El Pais"	0.135264
"Post Express"	0.134521
"Vietnam News"	0.134503
"China Daily Business Weekly"	0.133414
"Ethiopian Herald"	0.132898
APP	0.132845
"New Light"	0.130962
"United Press International"	0.13064
APA	0.129833
"Alam Al Yom"	0.128963
"Anatolia News Agency"	0.128494
"Le Monde"	0.128342
Sana	0.127416
beta	0.126156
PTI	0.125376
"news agency"	0.123689
"Beijing Daily"	0.122649
"Iran News"	0.121695
"Financial Mail"	0.121348
"The New Vision"	0.120544
"International Business Daily"	0.12028
"Der Spiegel"	0.118353
"Sydney Morning Herald"	0.116983
PAP	0.115632
"New Straits Times"	0.115275
"Zambia Daily Mail"	0.115022
"Macao Daily News"	0.11502
"Statistics Canada"	0.113582
Hurriyet	0.113138
"El Mundo"	0.11131
Malaya	0.111127
"press agency"	0.110932
"East African"	0.110459
"Press Trust"	0.109991
"Washington Times"	0.109316
"Al Ahram"	0.109309
"Xinhua News Agency"	0.108451
"Le Figaro"	0.107667
"National Association of Realtors"	0.106736
Maariv	0.104685
"Financial Times"	0.104544
"Al Hayat"	0.103395
"Nihon Keizai Shimbun"	0.102837
"Wenhui Daily"	0.101536
NHK	0.10028
"Daily News"	0.0997475
"Nihon Keizai"	0.0984813
"Beijing Youth Daily"	0.0983567
"Daily Telegraph"	0.0981618
Reforma	0.0971532
Asahi	0.0969655
"Seattle Times"	0.0952778
"China Youth Daily"	0.0951364
"Daily Mail"	0.0950245
"The Monitor"	0.094675
Al-Ahram	0.0937991
"Jerusalem Media and Communication Center"	0.0934785
ABS-CBN	0.0929419
"Asahi Shimbun"	0.0923254
NTV	0.0918819
"Australian Bureau of Statistics"	0.0908139
"Economic Daily"	0.0894387
Aventajado	0.088874
BBC	0.0876991
"U.S. Commerce Department"	0.0875499
"Bloomberg News"	0.0873053
dem	0.0867067
"Guangming Daily"	0.0864622
"Detroit News"	0.0863413
"Washington Post"	0.0863265
CTV	0.0857828
"Miami Herald"	0.0844251
"Yomiuri Shimbun"	0.084255
Eurostat	0.0836274
Granma	0.0835289
Xinhua	0.0834171
"Wall Street Journal"	0.0817842
"USA TODAY"	0.0804936
"Information Center"	0.0802793
"news service"	0.0790503
Izvestia	0.0789386
Harmoko	0.0786922
Ruehe	0.0784712
Salam	0.0775857
CNA	0.0775128
"Boston Herald"	0.0774768
"Kosovo Information Center"	0.0767796
"British Broadcasting Corp."	0.0753143
"Los Angeles Times"	0.0751005
Bild	0.0746793
Yomiuri	0.0745276
L'Equipe	0.0743605
"Associated Press"	0.0737871
ad/adc	0.0734387
"Detroit Free Press"	0.0716725
RNA	0.0714821
Politika	0.0714702
"Conference Board"	0.0711509
Passarella	0.0692749
"Chicago Tribune"	0.0685564
ISTAT	0.0684042
Yastrzhembsky	0.0683118
Inquirer	0.0682651
Okada	0.0678836
"Koha Ditore"	0.0674406
Guardian	0.0673762
Dominion	0.0669654
Spiegel	0.0665322
"Home Ministry"	0.0662207
"administration official"	0.0659418
))
(Bernard (desc 3875.26) (sims
Valerie	0.0902828
Toni	0.0866367
Jorge	0.0799874
Panchen	0.0788706
Carl	0.0783168
Alan	0.0776594
Anthony	0.0746566
Stan	0.0739546
Jeff	0.0731879
Ted	0.0703502
Brian	0.0697678
Neil	0.0691105
Samuel	0.0686045
Edward	0.0685615
William	0.0684542
Stephen	0.0684092
Harold	0.0674542
Robert	0.0671766
Walter	0.0666428
Vladimir	0.0662439
Richard	0.0660289
Gerald	0.0659545
Rick	0.0658442
Bolger	0.0643058
Andy	0.0633652
Jim	0.0630822
Tracey	0.0630072
Mayer	0.0626616
Denis	0.0623786
Greg	0.062341
Betsy	0.062143
Peter	0.0611479
Allan	0.0606109
Kathy	0.0601573
Ronald	0.0599418
Tim	0.0591604
LeRoy	0.058642
Antonio	0.0581387
James	0.0578291
timothy	0.057718
Arthur	0.0575585
Fernando	0.0574619
Joel	0.0574594
Ronnie	0.0570732
Philip	0.0567894
Jamie	0.0563481
Theo	0.0561467
Bernhard	0.0559976
Augustine	0.0558899
Hugh	0.0557564
Barbara	0.0556335
Ruehe	0.0554803
Miguel	0.0550942
Gerard	0.0550711
Alfred	0.0548567
Andrew	0.0548545
Jeremy	0.0548295
Lorenzo	0.0546355
Larry	0.0545895
Ed	0.054555
Hans	0.0545352
Myhrvold	0.0544937
Adele	0.0542504
Erin	0.0540689
Phillip	0.054
Bruton	0.0538984
Stanley	0.0538891
Frederick	0.0538034
Casey	0.0536386
Patrick	0.0535703
Vincent	0.0535519
"Azizah Ismail"	0.0534831
Edmund	0.0532441
Benjamin	0.0531698
Carlos	0.0528268
Ralph	0.0526146
Colburn	0.0524094
Herbert	0.0523456
Pamela	0.0523027
Hauser	0.052112
Barrie	0.0520911
"John Jr."	0.0520216
Bruce	0.0519051
Louis	0.0518418
Steven	0.0516726
"Dale Jr."	0.0516483
Kyle	0.0516193
Jacob	0.0514624
Teresa	0.0514166
Brogna	0.0513671
Matthew	0.0513255
Hamid	0.0513031
Kenneth	0.0512757
Roger	0.0510835
Evan	0.0508845
Lou	0.0508255
Fernandes	0.0508001
Henry	0.0506932
Shane	0.0505911
D.J	0.0505844
"Marvin Benard"	0.0505729
Jerry	0.0505411
Danny	0.0504623
Pustovoitenko	0.050418
Roberto	0.0503952
Naumann	0.0503105
"Al Joyner"	0.0503016
"Matt Franco"	0.0502006
Fred	0.0501596
Wenger	0.0501442
Jon	0.0499621
Mabry	0.0495396
Connor	0.0494665
Kumar	0.0492733
Joseph	0.0491523
jay	0.0490568
Dave	0.0490201
Eddie	0.0489675
Brenda	0.0489063
Brad	0.0488704
matt	0.0488096
Kato	0.048777
Albert	0.0483187
Robbie	0.0483177
Adrian	0.0482618
Chris	0.0481828
Wayne	0.0481514
Sensenbrenner	0.0481454
Juan	0.0481359
Daniel	0.0481279
Mel	0.048025
Gabe	0.0480146
Maurice	0.0479884
Felix	0.0479221
Trevor	0.0478402
Soares	0.0477942
Gus	0.0477207
Sara	0.0477188
Jose	0.0476853
Billy	0.0475276
Manuel	0.0474988
Bobby	0.0474983
Francois	0.0474938
Schaeuble	0.04743
Sergei	0.047399
Archie	0.0472666
Clarence	0.0471815
Vidro	0.047137
Ellen	0.0469517
Cleary	0.0467764
Brett	0.0467758
Stacy	0.0467117
Billie	0.0465589
Barry	0.0465248
Roy	0.0463763
Connie	0.0462975
"Michael Slater"	0.0462666
Andre	0.0460416
Siegel	0.0460271
Michelle	0.0460189
"De Klerk"	0.0459884
Rivlin	0.0459776
Beverly	0.045946
Milbury	0.0459416
Stinnett	0.0456779
Sinden	0.0456522
Ethan	0.0456448
Shawn	0.0456264
Karl	0.0455985
Wyatt	0.0455656
Blum	0.0454867
"Tom Lampkin"	0.0454561
Jalabert	0.0454045
Kornberg	0.0453082
Andreychuk	0.0452081
Shulman	0.0451992
Brady	0.0451951
Sorensen	0.0451234
"Russ Johnson"	0.0450537
Bautista	0.0450186
Russ	0.0450076
Jimmy	0.0449879
"King Hassan II"	0.0449656
Denise	0.044953
Vicki	0.044936
Craig	0.0447661
Ernest	0.0446449
Maya	0.0445687
Dunne	0.0444908
Nicolas	0.0444678
Hersh	0.0444501
Pauline	0.044407
Jason	0.0444026
Ritter	0.0443841
Cathy	0.0442857
"Tyler Houston"	0.0441275
Jonathan	0.0441269
Melinda	0.0441212
sid	0.0441195
"Todd Walker"	0.0440542
))
("Bernard Barmasai" (desc 2004.59) (sims
"Tegla Loroupe"	0.388614
"Daniel Komen"	0.375583
"Paul Tergat"	0.318289
"Kim Batten"	0.270922
"Wilson Kipketer"	0.268346
"Moses Tanui"	0.220805
"Jonathan Edwards"	0.220344
"Colin Jackson"	0.219996
"Khalid Khannouchi"	0.214838
"Sergei Bubka"	0.203371
Zelezny	0.191632
"Gabriela Szabo"	0.186237
"Hicham El Guerrouj"	0.183696
"Jeremy Wotherspoon"	0.181613
"Lenny Krayzelburg"	0.180243
"Haile Gebrselassie"	0.174614
"Sandra Voelker"	0.169347
"Kieren Perkins"	0.168081
"Le Jingyi"	0.167464
"Penny Heyns"	0.163188
"Chen Yan"	0.160477
"Hiroyasu Shimizu"	0.159476
"Sonia O'Sullivan"	0.154698
"Randy Barnes"	0.153021
Kipketer	0.152752
"Wu Yanyan"	0.152204
"Noureddine Morceli"	0.149976
"Emma George"	0.149747
"Irina Privalova"	0.14956
"Maria Mutola"	0.149472
"Samantha Riley"	0.14783
"Michele Bartoli"	0.14572
"Florence Griffith Joyner"	0.145674
"Javier Sotomayor"	0.14349
"Michael Klim"	0.143077
"Jackie Joyner-Kersee"	0.142857
"Gianni Romme"	0.142327
"Liu Limin"	0.139632
"Tom Dolan"	0.137856
"Svetlana Masterkova"	0.137193
"Chris Boardman"	0.135206
"Stacy Dragila"	0.135035
Klim	0.130544
"Charles Mukora"	0.127427
"Donovan Bailey"	0.124223
"Wang Junxia"	0.121079
"Dan O'Brien"	0.119013
"Rintje Ritsma"	0.118171
"Central Province"	0.116972
"Jeff Hartwig"	0.116653
"Denis Pankratov"	0.114248
Krayzelburg	0.113329
"Claudia Poll"	0.112929
"Rift Valley Province"	0.112709
"Claudia Pechstein"	0.11209
Sotomayor	0.110869
"Maurice Greene"	0.109361
"Tommi Makinen"	0.108657
"Stuart O'Grady"	0.105761
"Richard Burns"	0.105226
"Li Xuemei"	0.105208
"Johan Museeuw"	0.103973
"Ian Thorpe"	0.103496
"Lin Li"	0.103406
Heyns	0.102789
"Koji Ito"	0.0969187
"Michael Johnson"	0.0969178
Batten	0.0930716
"Laurent Jalabert"	0.092026
"Francesco Casagrande"	0.0878347
"Li Jiajun"	0.0876782
"Kevin Young"	0.0872877
"Steve Backley"	0.0869938
"Heike Drechsler"	0.0854619
"Wang Yan"	0.0843026
Zabel	0.0826243
"Renate Goetschl"	0.0825679
"Tom Steels"	0.0823537
"Abraham Olano"	0.081017
"Alexander Popov"	0.0808583
"Michael Doohan"	0.0806889
"Chen Hua"	0.0797138
"Lasse Kjus"	0.0788028
Costa	0.0786743
Morceli	0.0782806
"Inge de Bruijn"	0.0782347
"rift valley"	0.077399
Mombasa	0.0772233
Boardman	0.0766735
"Susie O'Neill"	0.0755057
Olano	0.0754714
"Hilde Gerg"	0.0728369
"Schalke @@"	0.0726263
Banesto	0.0718078
"Pavel Tonkov"	0.0717766
"Laurent Dufaux"	0.0714667
Svorada	0.0711733
"Max Biaggi"	0.0705985
"El Guerrouj"	0.0700489
"Iwan Thomas"	0.0696089
"Gunda Niemann-Stirnemann"	0.0695873
"Carlos Sainz"	0.0689611
"Anjelika Krylova"	0.068731
Longo	0.0686129
"MIka Hakkinen"	0.0684651
"Dennis Mitchell"	0.0682892
"Eastern Province"	0.0682608
Hoogenband	0.0680929
"Yang Yang"	0.0678908
"Mario Cipollini"	0.067294
"Fernando Escartin"	0.0667022
"Didier Auriol"	0.0665498
"Grant Hackett"	0.0658453
"Michael Von Gruenigen"	0.0649197
"Hermann Maier"	0.064826
Fredericks	0.064281
"Martina Moravcova"	0.0641927
Sainz	0.0639334
Godina	0.0635718
"Mark Crear"	0.0632668
"Mark Richardson"	0.0629878
Gebrselassie	0.062938
"Kjetil Andre Aamodt"	0.062542
"Electoral Commission"	0.0622683
"Amos Wako"	0.0620424
"Mercatone Uno"	0.061725
"Zoran Primorac"	0.0612575
"John Godina"	0.0607135
Guerrouj	0.0603626
"Wang Chunlu"	0.06002
"Jesse Owens"	0.0599575
"Elena Berezhnaya"	0.059766
"Colin McRae"	0.0589918
Jalabert	0.0589297
Seizinger	0.0588436
"Bruny Surin"	0.0586823
"Team New Zealand"	0.0579363
Polti	0.0579182
"David Coulthard"	0.0575
"Fatuma Roba"	0.0571976
"Alex Zuelle"	0.0566469
"Erik Zabel"	0.0561749
Makinen	0.0561293
Zamalek	0.0560722
"Kinder Bologna"	0.0558599
"Criminal Investigation Department"	0.0555068
Zuelle	0.0553708
"Francesco de Angelis"	0.0550357
"Alexandra Meissnitzer"	0.0547404
"Bjarte Engen Vik"	0.0546092
Dragila	0.0543246
"Marie-Jose Perec"	0.0541579
Szabo	0.0540578
"Daniel Kowalski"	0.0539465
"National Council of Churches"	0.0538686
Kanu	0.0538594
"Pernilla Wiberg"	0.0537711
"Yu Zhuocheng"	0.0537559
"Carl Lewis"	0.0532
"Michael Schumacher"	0.0531866
Le	0.0531836
Jansher	0.0530822
"Russian Yevgeny Kafelnikov"	0.0530599
"Miguel Indurain"	0.05276
McLaren-Mercedes	0.0525676
"Huang Xu"	0.0524339
Dolan	0.0523595
"Ben Johnson"	0.0511491
"Alexei Yagudin"	0.0510948
"Regina Jacobs"	0.0508872
"Randall Simon"	0.0505793
"American Andre Agassi"	0.0501781
"Marcus Outzen"	0.0501097
"Daily Nation"	0.0501014
Perkins	0.0498121
"Export Processing Zones"	0.0497184
Cipollini	0.0497106
"Wang Nan"	0.0497095
"Ian Healy"	0.0495293
"Martina Ertl"	0.0495201
"De Bruin"	0.049364
"Kong Linghui"	0.0486539
Telekom	0.0482721
"Jearl Miles-Clark"	0.0482316
"Brooke Bennett"	0.048033
attorney-General	0.0476891
"Damon Hill"	0.0472154
"over @,@@@ meters"	0.0471432
"Paris St Germain"	0.0471191
setter	0.0463049
"Isolde Kostner"	0.0459233
Slaney	0.0457557
"Laurent Brochard"	0.0456497
Bruguera	0.0454937
Meissnitzer	0.0453897
Doohan	0.0453013
Tomba	0.0450017
"Dario Franchitti"	0.0448752
"Katja Seizinger"	0.0443856
Cai	0.0440736
))
("Bernard Gilkey" (desc 4497.4) (sims
"Karim Garcia"	0.230897
"Matt Lawton"	0.228182
"Luis Gonzalez"	0.226515
"Damian Miller"	0.225245
"Danny Bautista"	0.221681
"David Dellucci"	0.213089
"Bruce Aven"	0.208384
"Eric Owens"	0.207336
"Jay Bell"	0.20733
"Marvin Benard"	0.207024
"Tony Womack"	0.204332
"Erubiel Durazo"	0.204024
"Travis Lee"	0.202555
"Brian McRae"	0.200889
"John Vander Wal"	0.19848
"Mark Kotsay"	0.197595
"Matt Mieske"	0.189775
"Al Martin"	0.183833
"Cliff Floyd"	0.181577
"Steve Finley"	0.180329
"Jose Guillen"	0.180182
"Bobby Higginson"	0.179555
"Ron Gant"	0.179117
"Butch Huskey"	0.17901
"Dmitri Young"	0.177752
"Matt Franco"	0.176228
"Tony Batista"	0.176004
"Jeffrey Hammonds"	0.174503
"Rondell White"	0.173684
"Orlando Palmeiro"	0.173157
"Darryl Hamilton"	0.172603
"Trot Nixon"	0.171081
"Brian Hunter"	0.17102
"Brian Giles"	0.170812
"Kelly Stinnett"	0.170369
"Lenny Harris"	0.169776
"Benny Agbayani"	0.168734
"Jon Nunnally"	0.16847
"Quinton McCracken"	0.167433
"Geoff Jenkins"	0.166236
"Rich Becker"	0.165727
"Reggie Sanders"	0.165055
"Dante Bichette"	0.165037
"Damon Buford"	0.165023
"Jorge Fabregas"	0.164263
"Carlos Lee"	0.163179
"Andy Fox"	0.162496
"Tony Phillips"	0.161807
"Preston Wilson"	0.161623
"John Mabry"	0.161467
"Glenallen Hill"	0.161434
"Stan Javier"	0.161045
"Ray Lankford"	0.160467
"Roger Cedeno"	0.159961
"Brian Daubach"	0.158165
"Bubba Trammell"	0.157691
"Devon White"	0.157623
"GERONIMO BERROA"	0.156595
Rolen	0.156269
"Matt Luke"	0.155456
"Jay Payton"	0.15544
"Greg Colbrunn"	0.154956
"Henry Rodriguez"	0.153968
"Rusty Greer"	0.152516
Gilkey	0.152032
"Todd Pratt"	0.151117
"Trenidad Hubbard"	0.150391
"Brant Brown"	0.150146
"Scott Rolen"	0.149423
"Luis Lopez"	0.148827
"Bobby Abreu"	0.148532
"Rico Brogna"	0.148356
"Vladimir Guerrero"	0.148298
"Matt Williams"	0.147774
"Rob Ducey"	0.147495
"Luis Polonia"	0.146662
"Paul Bako"	0.146483
"Bill Spiers"	0.146015
"Ellis Burks"	0.145595
"Luis Alicea"	0.145312
"Ron Coomer"	0.145068
"Dave Martinez"	0.144914
"Jeff Cirillo"	0.144285
"Robin Ventura"	0.144282
"Terrence Long"	0.143751
Vidro	0.143706
"Chad Curtis"	0.143566
"Rickey Henderson"	0.14346
"Gary Sheffield"	0.143358
"Shawn Green"	0.143309
"Bobby Bonilla"	0.143157
"David Ortiz"	0.142755
"Reggie Jefferson"	0.142711
"Wally Joyner"	0.142618
"Matt Stairs"	0.142083
"Gerald Williams"	0.141775
"David Segui"	0.141212
"Jason McDonald"	0.14114
"Jeremy Giambi"	0.140861
"Daryle Ward"	0.14081
"Ryan Klesko"	0.140645
Abreu	0.14058
Lankford	0.140538
"Carlos Beltran"	0.140514
"Midre Cummings"	0.14033
"Tim Salmon"	0.140201
"Shawon Dunston"	0.139954
"Russ Johnson"	0.138847
"Jeromy Burnitz"	0.137646
"Marty Cordova"	0.137476
"Tim Bogar"	0.137264
"Harold Baines"	0.136522
"Troy O'Leary"	0.136208
"Melvin Mora"	0.135637
"Richard Hidalgo"	0.134543
Bordick	0.133844
"Todd Walker"	0.133475
"Greg Vaughn"	0.13333
"Lance Johnson"	0.132917
"Darren Bragg"	0.132186
"Lance Berkman"	0.131837
"Mike Cameron"	0.131808
"Barry Larkin"	0.131579
"F.P Santangelo"	0.131299
"John Olerud"	0.131276
"Darren Lewis"	0.130791
"Eddie Taubensee"	0.130702
"Mickey Morandini"	0.130472
"Todd Hollandsworth"	0.130284
"Ruben Rivera"	0.130061
"Edgardo Alfonzo"	0.129868
"Mike Lieberthal"	0.129824
"Marquis Grissom"	0.129721
"Jose Hernandez"	0.129687
"Raul Ibanez"	0.12915
"Jason Kendall"	0.128503
"Joe Randa"	0.128182
"Scott Hatteberg"	0.127925
"Michael Tucker"	0.127816
"Scott Spiezio"	0.127639
"Dave Hansen"	0.127186
"Jay Buhner"	0.126244
"Mark Loretta"	0.125873
"Ben Grieve"	0.12513
"Dean Palmer"	0.124651
"Charlie Hayes"	0.124618
"Jermaine Dye"	0.12422
"Gabe Kapler"	0.123837
"Jeff Conine"	0.123768
"Kenny Lofton"	0.123091
"Einar Diaz"	0.12309
"B.J Surhoff"	0.122798
Burnitz	0.122739
"Johnny Damon"	0.122155
"Dan Wilson"	0.122083
"Mike Bordick"	0.122026
"Fred McGriff"	0.121777
"Mike Lansing"	0.121751
"Warren Morris"	0.121619
"Mike Stanley"	0.121576
"Eric Chavez"	0.121248
"Shannon Stewart"	0.121182
"Pat Meares"	0.121058
"Richie Sexson"	0.120557
"Brent Mayne"	0.120497
"Phil Nevin"	0.120482
"Kevin Young"	0.12035
"Juan Encarnacion"	0.119777
"Ozzie Guillen"	0.11948
"Kevin Elster"	0.119478
"Derrek Lee"	0.119216
"Todd Hundley"	0.119092
"Doug Glanville"	0.119026
"John Valentin"	0.118687
"Craig Counsell"	0.118505
"Edgar Martinez"	0.118471
Spiers	0.118314
"Matt Mantei"	0.118124
"Mike Benjamin"	0.117393
"Brady Anderson"	0.117348
"Wil Cordero"	0.116749
"Adam Kennedy"	0.116515
"Deivi Cruz"	0.116392
Fullmer	0.116308
"Andruw Jones"	0.11616
"Sean Berry"	0.115938
"Brad Ausmus"	0.115874
Alfonzo	0.115854
"Tony Eusebio"	0.115753
"Ed Sprague"	0.115565
"Ricky Ledee"	0.115327
"Lee Stevens"	0.114701
"Todd Greene"	0.11428
Glanville	0.114279
"Derek Bell"	0.114224
"Paul Konerko"	0.114217
Olerud	0.11394
"Mike Simms"	0.113364
"Pat Burrell"	0.113347
"Otis Nixon"	0.113034
"Gregg Jefferies"	0.112805
"Todd Helton"	0.112518
"Corey Koskie"	0.112474
"Jeff Frye"	0.112411
"Chris Widger"	0.112181
"Jeff Bagwell"	0.112016
"Darin Erstad"	0.111839
"Enrique Wilson"	0.111575
Aurilia	0.111551
"Mike Lowell"	0.111179
"Manny Alexander"	0.111001
"Eric Karros"	0.11093
Lawton	0.11078
"Mike Piazza"	0.110152
"Keith Lockhart"	0.11005
"Edgar Renteria"	0.10995
"J.T Snow"	0.10969
Alicea	0.109353
"Tom Goodwin"	0.108965
Cirillo	0.108712
"Mike Lamb"	0.108477
"Tony Gwynn"	0.10836
"J.D Drew"	0.108311
"Rey Ordonez"	0.107652
"Kurt Abbott"	0.107405
Randa	0.10725
"Barry Bonds"	0.10688
"Kevin Jordan"	0.106869
"John Jaha"	0.106547
"Raul Mondesi"	0.10601
"Brian Jordan"	0.10595
"Russ Davis"	0.105543
"Jose Canseco"	0.105334
"Herbert Perry"	0.105226
"Chili Davis"	0.104894
"Garret Anderson"	0.104865
Bautista	0.104838
"Roberto Kelly"	0.104791
"Mike Sweeney"	0.104715
Gant	0.104641
"Jose Offerman"	0.104594
"Joe McEwing"	0.104182
Tatis	0.104179
McLemore	0.104177
Merloni	0.104075
"Jason Varitek"	0.10397
"Ken Caminiti"	0.103761
"Shane Spencer"	0.103464
"Carl Everett"	0.103289
"Mark Grudzielanek"	0.103024
"Ray Durham"	0.102363
Lieberthal	0.102239
"Paul O'Neill"	0.101979
"David Bell"	0.101952
"Jose Vidro"	0.101919
Higginson	0.10187
"Bill Mueller"	0.101837
"Eric Young"	0.101797
"CARLOS HERNANDEZ"	0.101319
"Quilvio Veras"	0.101002
"Kirk Gibson"	0.100953
Cordero	0.100845
))
("Bernard Kouchner" (desc 2856.75) (sims
"Sergio Vieira de Mello"	0.27247
"Hashim Thaci"	0.197767
"Charlene Barshefsky"	0.18328
"Faisal Husseini"	0.162231
"Xie Zhenhua"	0.161046
"William Walker"	0.156461
"Michel Camdessus"	0.155756
"Xanana Gusmao"	0.143663
"Dai Bingguo"	0.143572
"Long Yongtu"	0.142604
"Adem Demaci"	0.142146
Kouchner	0.141207
"Carlos Westendorp"	0.13904
"Joel Klein"	0.136353
"Wolfgang Petritsch"	0.135598
"George Robertson"	0.131694
"Carl Bildt"	0.131067
"Ronnie Flanagan"	0.127996
"Hans von Sponeck"	0.127054
"Igor Sergeyev"	0.121914
"Javier Solana"	0.120763
"Abu Mazen"	0.118189
"Richard C. Holbrooke"	0.117551
"Tom Welch"	0.11647
"Ariel Sharon"	0.114185
"Khin Nyunt"	0.11359
"Richie Phillips"	0.112551
Rodionov	0.111075
"Bashkim Fino"	0.110257
"Boris Fyodorov"	0.10986
"Mary Robinson"	0.108991
"Shi Guangsheng"	0.108701
"Rolf Ekeus"	0.108051
"Fayez Tarawneh"	0.107708
Bildt	0.107489
"Qin Huasun"	0.106711
"Gulbuddin Hekmatyar"	0.10612
"Kim Yong Nam"	0.105638
Jayakumar	0.105187
"Renato Ruggiero"	0.105061
"Mike Jackson"	0.104957
"Christopher Hill"	0.104618
"Billy Payne"	0.104
"Wang Yingfan"	0.103979
"Boris Nemtsov"	0.103791
"Nabil Shaath"	0.101874
Meguid	0.101594
"Yossi Sarid"	0.100476
"Bill Lann Lee"	0.099837
"Fehmi Agani"	0.0996892
"Charles LaBella"	0.0994932
"Yuri Maslyukov"	0.0988796
"Bizima Karaha"	0.0987514
"Amnuay Virawan"	0.0987056
Ashrawi	0.0986165
"Bernie Ecclestone"	0.0979428
"Carol Bellamy"	0.0977627
"Salim Ahmed Salim"	0.0976703
"Victor Chernomyrdin"	0.097573
Shaath	0.0970628
"Vladislav Jovanovic"	0.0961012
"Eisuke Sakakibara"	0.0959573
"Yasser Abed Rabbo"	0.0958304
"Stuart Eizenstat"	0.095264
McGuinness	0.0950809
"Lee Kuan Yew"	0.0938221
"Ansumane Mane"	0.0932443
"Ibrahim Rugova"	0.0923219
"Gro Harlem Brundtland"	0.0919844
"Mikulas Dzurinda"	0.0912075
"Wim Duisenberg"	0.0899507
"Richard Butler"	0.0898685
"Jean Van de Velde"	0.0894597
Zeng	0.089292
"Mikhail Kasyanov"	0.0888407
Sahnoun	0.0887624
"Li Zhaoxing"	0.0883805
"Saeb Erekat"	0.0882276
"Natan Sharansky"	0.0881242
"Michael Portillo"	0.0877276
"William Hague"	0.0877235
"Sadako Ogata"	0.0876904
"Tang Jiaxuan"	0.087454
"Horst Koehler"	0.0871268
"David Trimble"	0.0866802
"Aslan Maskhadov"	0.0860801
Sergeyev	0.0860434
"Yitzhak Mordechai"	0.0859354
"Jerzy Buzek"	0.08576
Chubais	0.0852574
"Robert Gelbard"	0.0851311
Solana	0.0848656
"Jack Straw"	0.0848037
Kasoulides	0.0847916
Lipponen	0.0844945
"Mike Moore"	0.0843861
"Peter Mandelson"	0.0843766
Bruton	0.0843314
"Tim Fischer"	0.0841439
Buthelezi	0.0839593
Kinkel	0.0839129
"Barry McCaffrey"	0.0838635
Walser	0.0837267
Holl	0.0833139
KFOR	0.0832544
"Jaswant Singh"	0.0827346
Musa	0.0827344
"Wolfgang Schaeuble"	0.082371
"Michael Jackson"	0.0822425
"Martin McGuinness"	0.0818917
"Gene Sperling"	0.0817056
"Michael Heseltine"	0.0814957
"Lino Oviedo"	0.0811183
"Tom Davis"	0.080975
Wiranto	0.0809045
"Kamal Kharrazi"	0.0808424
McNamara	0.0807555
"Anson Chan"	0.0806357
Axworthy	0.0805137
"Wesley Clark"	0.080348
Tarawneh	0.0792976
"Ricardo Alarcon"	0.0792652
"Shaul Mofaz"	0.0789033
"Sergei Stepashin"	0.0787088
Ben-Ami	0.0786844
Fino	0.0785817
"Salim Hoss"	0.0783439
"Anatoly Chubais"	0.0781658
"Ieng Sary"	0.0781298
"Mitt Romney"	0.0780818
"John Koskinen"	0.0780602
"Florida Republican"	0.0779982
Velayati	0.0779332
Diouf	0.0776046
"Robert Guei"	0.0775136
Hoss	0.0773741
Bhattarai	0.07724
"Jack Valenti"	0.0771975
Kazhegeldin	0.0771084
"Stanley Fischer"	0.0768176
"John Anderson"	0.0767961
Nickerson	0.0766862
"Joschka Fischer"	0.0765947
Obeid	0.0765714
Camdessus	0.0763246
"Momcilo Krajisnik"	0.0760724
"governor general"	0.0760359
"Billy Hunter"	0.0760129
"Jeremy Greenstock"	0.0760114
Abdel-Meguid	0.0759787
"Bill Richardson"	0.0758474
"H.D Deve Gowda"	0.075823
Boueiz	0.075717
Siazon	0.0756857
Misuari	0.0756694
"Khaleda Zia"	0.0754857
Alatas	0.0754424
Troussier	0.0754189
"Mo Mowlam"	0.075341
"Rodney Slater"	0.0752507
"Vuk Draskovic"	0.07523
"California Democrat"	0.0752289
"Yoshiro Mori"	0.0750138
Brittan	0.0748819
"Igor Ivanov"	0.0748798
Shahak	0.0748108
Kagame	0.0747611
"Ding Guangen"	0.0746583
"Mickey Kantor"	0.0745428
"Alexander Lebed"	0.0745389
"Ivan Kostov"	0.0743711
"Huang Ju"	0.0742854
"Viktor Chernomyrdin"	0.0742786
Brundtland	0.0742239
"Jacques Rogge"	0.0741536
Kabariti	0.0739798
Stoyanov	0.0736875
"Seamus Mallon"	0.0735094
Nzo	0.073308
Granic	0.0732547
Mordechai	0.073209
Prewitt	0.0732006
"John Howard"	0.0730817
"Hubert Vedrine"	0.0729307
"Supachai Panitchpakdi"	0.0727995
"Lionel Jospin"	0.0726667
"Chuan Leekpai"	0.072663
"de Charette"	0.0724514
"Le Kha Phieu"	0.0724052
"Vladimiro Montesinos"	0.0723842
Yazdi	0.0723687
"Alexander Shokhin"	0.0722495
"Abdul Karim Kabariti"	0.0720316
"William Cohen"	0.0717015
Moratinos	0.0716281
Zhenyu	0.0715924
"Massachusetts Democrat"	0.0715605
"Danny Yatom"	0.0714924
"Tariq Aziz"	0.0709864
Yandarbiyev	0.0709717
))
("Bernard Sanders" (desc 1338.6) (sims
"Jim Kolbe"	0.162537
"David Dreier"	0.159625
"Tom Campbell"	0.156429
"Greg Ganske"	0.154267
"Martin Meehan"	0.149915
"Barney Frank"	0.145845
"Dan Miller"	0.143184
"Charles Canady"	0.143134
"Christopher Shays"	0.141603
"Curt Weldon"	0.13967
"Nancy Pelosi"	0.138608
"Bill Thomas"	0.138257
"John Conyers"	0.137933
"Christopher Cox"	0.137173
"James Sensenbrenner"	0.135519
"Bob Franks"	0.134164
"Lee Hamilton"	0.13255
"Christopher Smith"	0.132243
"James Jeffords"	0.130474
"Martin Frost"	0.130114
"Porter Goss"	0.129537
"Ron Paul"	0.129211
"John Dingell"	0.127827
"Jerrold Nadler"	0.127335
"J.C. Watts"	0.126858
"Carolyn McCarthy"	0.125742
"Patrick Kennedy"	0.12511
"Jim Jeffords"	0.124555
"Amo Houghton"	0.124123
"Lamar Smith"	0.124037
"Jack Quinn"	0.121484
"Charles E. Schumer"	0.120029
"John Linder"	0.119049
"Charles Rangel"	0.115927
"John Boehner"	0.114868
"Maxine Waters"	0.114644
"Jim Turner"	0.113245
"Jim Bunning"	0.112761
"Charlene Barshefsky"	0.112751
"Nita Lowey"	0.112206
"Connie Morella"	0.112205
"Patrick Leahy"	0.111306
"Tony Coelho"	0.110897
"Mary Bono"	0.110431
"Mark Sanford"	0.10892
"Bill Archer"	0.106415
"Chris Smith"	0.10625
"George Miller"	0.106145
"Jim Leach"	0.106096
"Steve Largent"	0.106096
"Bill McCollum"	0.105905
"Charlie Norwood"	0.105439
"Tom Davis"	0.105376
"Dan Burton"	0.103985
"Richard Gephardt"	0.103759
"Linda Smith"	0.103116
"Benjamin Gilman"	0.10234
"Henry Waxman"	0.102145
"Norm Dicks"	0.101809
"Robert Menendez"	0.101095
"Lindsey Graham"	0.101079
"John Lewis"	0.100823
"Jose Serrano"	0.100595
"Bob Smith"	0.100175
"Asa Hutchinson"	0.0997477
"Bob Livingston"	0.0989053
"Bob Barr"	0.0971576
"Henry Bonilla"	0.0971252
"Peter King"	0.0970344
"Don Young"	0.0966595
"Ed Bryant"	0.0944159
"Sherwood Boehlert"	0.0940807
"Adem Demaci"	0.0940173
"Ricardo Lagos"	0.0935817
"Russell Feingold"	0.0914341
"Charles Schumer"	0.0907472
"Mark Green"	0.0898477
"Billy Tauzin"	0.0891253
"Michael Forbes"	0.0888142
"George Gekas"	0.0881308
"Marge Roukema"	0.0877903
Amato	0.0869801
"Robert Livingston"	0.086695
"David Bonior"	0.0863153
"Qin Huasun"	0.0859196
"Roy Barnes"	0.0858021
"Matt Salmon"	0.0845027
"Jack Kingston"	0.0842915
"Olympia J. Snowe"	0.0832639
"Mark Foley"	0.0830364
"Dick Gephardt"	0.0826842
"Zoe Lofgren"	0.0822187
"Carolyn Maloney"	0.0814518
"Susan Molinari"	0.078225
"Lloyd Doggett"	0.0779384
"Faisal Husseini"	0.0775222
"Fred Upton"	0.0771871
"Steve Chabot"	0.0767435
broadsheet	0.0767211
"Henry Hyde"	0.0760276
"Jim McDermott"	0.0755813
"Felipe Gonzalez"	0.0754706
"George Nethercutt"	0.0751806
"Jim Hodges"	0.0750075
"Charles Stenholm"	0.0749602
"Dick Armey"	0.0744486
"Tom Coburn"	0.0737778
"Rick White"	0.07331
"Carlos Westendorp"	0.0729748
"Mickey Kantor"	0.072622
"Loretta Sanchez"	0.0725837
"John Kasich"	0.0723055
"Tom DeLay"	0.071914
"Rick Lazio"	0.0716901
"Nancy Johnson"	0.0716486
"Vladislav Jovanovic"	0.0714605
"Geraldine Ferraro"	0.0707414
Bateman	0.0707322
"Carl Bildt"	0.0705825
"James Rogan"	0.070274
"Sheila Jackson Lee"	0.0667818
"Dennis Hastert"	0.0667202
"Sue Kelly"	0.065966
"Long Yongtu"	0.0657525
"Jerry Lewis"	0.0648103
"Richard Durbin"	0.0646402
"Max Baucus"	0.0641751
"John Chafee"	0.0638545
"Tillie Fowler"	0.063793
"Bashkim Fino"	0.0626732
"John Conyers Jr."	0.0623301
"Robert Byrd"	0.0619862
"John Sweeney"	0.0617345
"Ted Stevens"	0.0602825
"Wolfgang Petritsch"	0.0601089
"Charles Grassley"	0.0600542
Udall	0.0597315
"Paul Wellstone"	0.059528
"Reagan Democrats"	0.059101
"Susan Collins"	0.0588724
"Chuck Hagel"	0.0582156
"Debra Weydert"	0.0578987
Hayworth	0.0575572
"Bernard Kouchner"	0.057173
"Frank Lautenberg"	0.0566987
"Sergio Vieira de Mello"	0.0563606
"Stuart Eizenstat"	0.0559038
"Arlen Specter"	0.0558683
"Imelda Marcos"	0.0557449
"Abbe Lowell"	0.0555888
Feingold	0.0552553
"Daniel Patrick Moynihan"	0.0551314
"Pat Roberts"	0.0544684
"Connie Mack"	0.0532481
"Adam Smith"	0.0528142
"John Anderson"	0.0524948
Gibbons	0.0522465
Baird	0.0522117
"Gordon Smith"	0.0516576
Hitchens	0.0516543
"Olympia Snowe"	0.0511453
"James Inhofe"	0.0502422
"Phil Gramm"	0.0491152
Kouchner	0.0490713
R-Iowa	0.0490419
"Bill Richardson"	0.0490302
"Carl Levin"	0.0488798
"Conrad Burns"	0.048826
"Jennifer Dunn"	0.0484326
"Edward M. Kennedy"	0.0483996
Noboa	0.0481517
"Sonny Bono"	0.0479572
"Charles Robb"	0.0478361
Delahunt	0.0476268
Meehan	0.0475369
Chenoweth	0.0468694
"John Breaux"	0.0468578
"Joseph Biden"	0.0467438
"Don Nickles"	0.0467103
"Richard C. Holbrooke"	0.0467061
Rivlin	0.0466312
"Jeremy Greenstock"	0.0464024
"Tom Harkin"	0.0463395
"Tim Johnson"	0.0461843
Berkley	0.0460757
"Jeanne Shaheen"	0.0456168
"Jacques Rogge"	0.0455556
"Bill Frist"	0.0449958
Ackerman	0.0440429
"Pandeli Majko"	0.0439778
"Strom Thurmond"	0.0437069
"Charles Taylor"	0.0435025
corroboration	0.0431963
"Robert C. Byrd"	0.0430445
monarchist	0.0425091
"Northern League"	0.0422894
"Christine Todd Whitman"	0.0422138
Cramer	0.041313
"Majority Whip Tom DeLay"	0.0412503
Kasich	0.0411081
))
("Bernard Shaw" (desc 1410.82) (sims
"Tim Russert"	0.218869
"Late Edition"	0.151163
"Larry King"	0.147638
"Peter Jennings"	0.146222
"Christiane Amanpour"	0.135474
"Brian Williams"	0.129973
"Tom Brokaw"	0.128243
"Dan Rather"	0.12006
"Lou Dobbs"	0.114951
"Ted Koppel"	0.113202
"Jim Lehrer"	0.106759
"April Oliver"	0.106618
Moneyline	0.0939399
"Chris Berman"	0.0936503
"Sam Donaldson"	0.0929072
"Charles Gibson"	0.091614
"Katie Couric"	0.0889735
"Keith Olbermann"	0.0886432
"Walter Cronkite"	0.0763481
Russert	0.0700052
"Asif Ali Zardari"	0.0678456
retraction	0.0678329
"Al Joyner"	0.0644948
"Connie Chung"	0.0630348
"Irina Privalova"	0.0607537
"Tom Johnson"	0.0607177
"Diane Sawyer"	0.0577825
"Rajiv Gandhi"	0.0575733
anchorman	0.0555984
"Bobby Brown"	0.0543175
"Prince Albert"	0.0526027
"Peter Arnett"	0.0523887
"C.J Hunter"	0.0522659
"James McDougal"	0.0509207
"Cokie Roberts"	0.0489175
"Matt Lauer"	0.0483621
Hamid	0.0477797
Nickerson	0.0423557
Cronkite	0.0417772
"Bob Costas"	0.0416007
Andrei	0.0415862
"Entertainment Weekly"	0.0403506
"Ed McMahon"	0.0401057
))
(Berne (desc 2110.65) (sims
Bern	0.137072
Lugano	0.136469
Basle	0.132469
Vilnius	0.110116
Windhoek	0.104869
Lucerne	0.102451
Gaborone	0.10215
Chamonix	0.101329
Riga	0.101018
Tbilisi	0.099353
Yerevan	0.0989014
Tashkent	0.0986691
Zurich	0.096124
Bridgehampton	0.0946866
Ljubljana	0.0945403
"La Paz"	0.0901821
Vientiane	0.0878449
SANAA	0.0872172
Skaneateles	0.0854902
Bujumbura	0.085361
Tallinn	0.0849011
Minsk	0.0840148
MINEOLA	0.0834984
Pretoria	0.0826798
Bangui	0.0826525
MANAMA	0.0826016
Davos	0.0821762
Bonn	0.0820795
Riyadh	0.081976
Hempstead	0.0818844
Asmara	0.080217
Monrovia	0.0795565
Chisinau	0.0793022
Accra	0.0787759
BUCHAREST	0.0786385
Dushanbe	0.0782172
Conakry	0.0771414
Hobart	0.0767802
Lome	0.0762739
Dakar	0.0758997
"San Salvador"	0.0757494
Bissau	0.075232
BRASILIA	0.0752039
Stuttgart	0.0751635
Santiago	0.0750569
"Secretary General Esmat Abdel-Meguid"	0.0746667
Tripoli	0.074603
"Egyptian capital"	0.0744578
PALERMO	0.0743515
KIEV	0.0742087
Reykjavik	0.0739917
"Nigerian capital"	0.0735219
"Guatemala City"	0.073423
CARACAS	0.0731434
Asuncion	0.0730295
Lausanne	0.072518
Elmira	0.0718867
Tarrytown	0.0716833
Abidjan	0.0713344
TUNIS	0.0709698
Poughkeepsie	0.070901
LISBON	0.0708868
Yaounde	0.0708701
Muscat	0.070853
BASEL	0.0707604
Linz	0.070714
Baku	0.0707105
BRATISLAVA	0.0705312
Astana	0.0695178
Mbabane	0.06951
Cologne	0.0693387
ZAGREB	0.0692319
Algiers	0.0689584
"Hilton Head"	0.0688485
Strasbourg	0.0687851
Duesseldorf	0.0687462
Antwerp	0.068571
Entebbe	0.0682715
Managua	0.0677849
Doha	0.0672569
Maseru	0.0672473
Ashkhabad	0.0672075
"Saratoga Springs"	0.0671896
Eilat	0.0669525
Bishkek	0.0667189
"San Sebastian"	0.0665143
"Tel Aviv"	0.0663917
"Addis Ababa"	0.0662598
Alexandria	0.0662595
Montauk	0.0658639
Khartoum	0.0657987
"Bandar Seri Begawan"	0.0656619
BOGOTA	0.0656554
Jeddah	0.0656103
Skopje	0.0653947
Engelberg	0.0651262
Carlsbad	0.0651227
Acapulco	0.0650477
Sestriere	0.0649953
Genoa	0.0640016
"European Swimming Championships"	0.063826
SOFIA	0.0636187
bethel	0.0635797
Trondheim	0.0634558
BUDAPEST	0.0633748
Oslo	0.0631357
Rabat	0.0627504
Chatham	0.0625572
Suva	0.0622924
Dusseldorf	0.06212
Williamsport	0.0620778
Uniondale	0.0615772
Munich	0.061397
"Garden City"	0.0613115
Copenhagen	0.0610154
Belfast	0.0605034
"Montego Bay"	0.0603134
Alma-Ata	0.0602387
Plattsburgh	0.0595616
TEGUCIGALPA	0.0594304
"Phnom Penh"	0.0593146
Pattaya	0.059313
"Santo Domingo"	0.0592839
Bloomington	0.0592679
"White Plains"	0.0590782
Libreville	0.0589578
Honiara	0.0589002
Luanda	0.0588368
TIRANA	0.0587862
Vitoria	0.0584956
Kingston	0.0583757
Vladikavkaz	0.0582758
Cairns	0.0582706
Bamako	0.0581824
Kitzbuehel	0.0580387
Bali	0.0576096
Cartagena	0.0575528
el-Sheikh	0.0574021
Port-au-Prince	0.0572435
Makhachkala	0.057226
"Washington D.C."	0.0572222
"Albanian capital"	0.0570396
Ramallah	0.057022
Mauritius	0.0569406
Irvington	0.0568807
Heidelberg	0.0568191
Salzburg	0.0568108
WARSAW	0.05674
Quito	0.0567016
"Monte Carlo"	0.0565225
Filderstadt	0.0562273
Kigali	0.0560328
Wilmington	0.0558722
"Great Neck"	0.0556082
"Long Island City"	0.0555035
"Chinese Basketball League"	0.0553144
BRIGHTON	0.0551388
Taba	0.0551198
"Stony Brook"	0.0550295
"International Badminton Federation"	0.0548883
Eindhoven	0.0548817
"St Petersburg"	0.0546302
Dili	0.054477
"Lahore High Court"	0.0544112
Toulouse	0.0543482
Larnaca	0.0540303
este	0.0537967
Beidaihe	0.0535865
"New York-New Jersey MetroStars"	0.0534448
"South Bend"	0.0533178
Halle	0.0529179
Hanover	0.0525543
"New Rochelle"	0.0525415
NICOSIA	0.0523804
"Israeli Cabinet"	0.0522715
"Gaza City"	0.0521648
Kuching	0.0521128
Helsinki	0.0520956
Jamestown	0.0520527
Sochi	0.0520457
Dubrovnik	0.0518419
Peekskill	0.0515685
"rest day"	0.0513112
Sheikh	0.0513062
Peterborough	0.0511326
Salem	0.0510803
"Central Clinical Hospital"	0.0510683
Moroni	0.0510082
Atambua	0.050981
Hakuba	0.0507273
"Jordanian King Abdullah Bin Hussein"	0.0506887
Perth	0.0506833
"Hyde Park"	0.0503521
Evansville	0.0503189
"Fort Wayne"	0.0502914
Beqaa	0.0500995
Glasgow	0.0499204
Innsbruck	0.0498526
Durban	0.0498348
Wildwood	0.0498234
))
(Bernhard (desc 1440.49) (sims
Rupert	0.142025
Wasserstein	0.0995186
Zellweger	0.0924381
Cline	0.0885426
Greenwald	0.0846164
Hamzah	0.084458
Tuttle	0.0835152
Pierson	0.0832446
Kurth	0.0827202
Grunwald	0.0816276
Talal	0.0811429
Rowley	0.0809253
Lowry	0.0802706
COYNE	0.0801132
Langer	0.0799794
Northup	0.0798097
Nilsson	0.0795935
Couric	0.0795506
Philippe	0.0794383
Deneuve	0.0781849
Manheim	0.0780989
Britton	0.0776312
Janssen	0.0770373
Fiorina	0.0763319
Cleary	0.0760788
Joachim	0.0753801
Marceau	0.0753661
Albrecht	0.0750756
Kagalovsky	0.0750651
Mohamed	0.0743814
Rivlin	0.0743138
Flockhart	0.0741298
Briscoe	0.0739208
Pirro	0.0731418
"Norodom Ranariddh"	0.0729912
Orton	0.0727194
Shriver	0.0725048
Pape	0.0719221
Midler	0.0718668
Kusama	0.0717912
Mucha	0.0711186
DeFrantz	0.0709895
Menchu	0.0705541
Nicolas	0.0705151
Weil	0.0704045
Kingsley	0.0703941
Phillip	0.0703193
Ricart	0.0703192
Mira	0.070103
Lockwood	0.069954
Ashrawi	0.0692209
Reznor	0.0690502
"Al Joyner"	0.0682306
Mckee	0.068074
Betts	0.0678513
Winfrey	0.0676356
Mei	0.0674488
Edson	0.0672811
Liston	0.0672395
Farrell	0.0663739
Philip	0.0662979
Reiter	0.0661573
Hickman	0.0661024
Schafer	0.0660864
Swenson	0.0657262
Brazile	0.0656395
pressman	0.0655782
Winslet	0.0653463
Abram	0.0651984
Knapp	0.0650991
Roberson	0.0646316
Scruggs	0.0646314
Nasrin	0.0645898
McDonnell	0.0643035
Portnoy	0.0642861
Dench	0.0642755
Pascal	0.0638417
Kirkpatrick	0.0633344
Barad	0.0633085
Moscoso	0.0633027
Mapes	0.0632528
Dunham	0.063037
Hahn	0.0629794
Huffington	0.0628527
Haines	0.0626827
Zheng	0.0625449
Felipe	0.0624473
Upshaw	0.0622046
Stephenson	0.0620137
Yoon	0.061689
Khalid	0.0616378
Arron	0.0616147
Dowd	0.061577
Muir	0.061574
Seligman	0.0611904
Shulman	0.061132
Bjorn	0.0607111
Mortimer	0.0606844
Atkinson	0.0605738
Sheehy	0.0604413
Tharp	0.0602705
Forrest	0.0602687
Hagen	0.0600555
Youk	0.0600256
Colburn	0.0596911
Seltzer	0.0596388
Hanley	0.0596068
Harr	0.0596042
Farley	0.05946
Goldin	0.0594187
bock	0.059344
"Albert Pirro"	0.0591573
Carmichael	0.0585893
Lange	0.0584922
Morley	0.0582322
Hamlin	0.0581939
Merritt	0.0580834
Sorensen	0.0580542
Greco	0.0578481
Tilberis	0.0578198
Sihanouk	0.0578023
Falco	0.0577011
Wesson	0.057548
Rosenthal	0.0574951
Mathews	0.057001
Jaffe	0.0568825
krueger	0.0568435
Baer	0.0568199
Igor	0.0568009
Mayer	0.0567476
Markovic	0.0566402
Taymor	0.0565933
Currier	0.0564836
Zuckerman	0.0562696
Hearns	0.0562026
Redgrave	0.0561874
Bernard	0.0559976
Farber	0.0559845
Suarez	0.0555211
Bassett	0.0550901
Copeland	0.0549366
Henning	0.0549264
Lowery	0.0548395
Pearce	0.0547353
Adair	0.054684
Jeffers	0.0546086
Bushnell	0.054557
LeFave	0.054525
Monte	0.0544054
Brenner	0.054387
Cornelius	0.0543366
Modigliani	0.0542291
Barlow	0.0542206
Sills	0.0539104
Ingalls	0.0538193
Chenoweth	0.0535665
Hecht	0.0534775
McFadden	0.0534105
McIntyre	0.0532417
Molinari	0.0532092
Ricci	0.053103
Stadler	0.0530909
Garvey	0.0530477
O'Hara	0.0530113
Duffy	0.0529895
Marchand	0.0529489
Briggs	0.0529459
Lurie	0.0528537
Bessette	0.0527575
Meissner	0.052538
Witherspoon	0.052485
Lyn	0.052427
Holzman	0.0523271
Henley	0.0522565
Fay	0.0520744
Fulani	0.0520575
Bisek	0.0518669
Ono	0.0515534
joiner	0.0514926
Mullen	0.0510816
burrows	0.0510629
Petersen	0.0510341
Boardman	0.0509891
TALBOT	0.0509875
Benton	0.0509764
Kurtz	0.0509598
Thurman	0.0509187
"C.J Hunter"	0.0508837
McCormack	0.0508264
Tomlin	0.050674
Garber	0.050496
Arbour	0.0504735
Rowling	0.0503333
Karan	0.050257
Duvall	0.0502411
Bragg	0.0502249
Darrell	0.0501193
Lai	0.050023
Vogel	0.049941
Johansson	0.0498015
))
("Bernhard Langer" (desc 4081.88) (sims
"Nick Faldo"	0.307535
"Jose Maria Olazabal"	0.284612
"Seve Ballesteros"	0.267624
"Lee Westwood"	0.26448
"Ian Woosnam"	0.256539
"Jesper Parnevik"	0.247238
"Vijay Singh"	0.247162
"Tom Lehman"	0.246969
"Lee Janzen"	0.246244
"Nick Price"	0.237923
"Steve Elkington"	0.23781
"Colin Montgomerie"	0.234766
"Mark O'Meara"	0.234708
"Ernie Els"	0.23028
"John Daly"	0.229695
"Davis Love III"	0.225199
"Greg Norman"	0.220467
"Paul Lawrie"	0.211774
"Jim Furyk"	0.211028
"Fred Couples"	0.210008
"Hal Sutton"	0.208028
"Justin Leonard"	0.201897
"Craig Stadler"	0.201741
"Tom Watson"	0.199527
"Phil Mickelson"	0.199421
"Miguel Angel Jimenez"	0.197293
"Sergio Garcia"	0.18948
"Jeff Maggert"	0.186034
"Payne Stewart"	0.18481
"Mark Calcavecchia"	0.184658
"David Duval"	0.181074
"Stuart Appleby"	0.180079
"Scott Hoch"	0.180032
"Jeff Sluman"	0.177342
"Darren Clarke"	0.176032
"Stewart Cink"	0.174724
"Davis Love"	0.173157
"Curtis Strange"	0.172133
"Jarmo Sandelin"	0.171265
"Bob Tway"	0.169178
"Loren Roberts"	0.157048
"Paul Azinger"	0.151847
"Jack Nicklaus"	0.150217
"Ben Crenshaw"	0.146087
"Tim Herron"	0.145523
"Corey Pavin"	0.145033
"HANK KUEHNE"	0.13994
"Frank Nobilo"	0.138244
"Billy Mayfair"	0.136902
Montgomerie	0.136327
"Larry Mize"	0.135477
"Steve Jones"	0.130319
"Jean Van de Velde"	0.129579
"Tom Kite"	0.129236
"Andrew Magee"	0.127831
"Steve Stricker"	0.12707
Olazabal	0.122661
"Carlos Franco"	0.120926
"Craig Parry"	0.119992
"Tiger Woods"	0.116763
"Rocco Mediate"	0.115628
"John Cook"	0.114899
"Padraig Harrington"	0.112583
"John Huston"	0.109761
"Jay Haas"	0.107816
"Matt Kuchar"	0.106372
"Johnny Miller"	0.105928
"Mark James"	0.105299
"Kirk Triplett"	0.104729
"Gary Player"	0.104536
"Raymond Floyd"	0.103831
O'Meara	0.103211
"Fuzzy Zoeller"	0.102021
"Se Ri Pak"	0.101222
"Brian Watts"	0.100331
"Gil Morgan"	0.0998864
"Miguel Indurain"	0.099506
"Shigeki Maruyama"	0.099003
"Steve Pate"	0.0988312
"Hale Irwin"	0.0982126
Bruguera	0.0973705
"Casey Martin"	0.0953528
"Bob Estes"	0.0933148
Lawrie	0.0901495
"Arnold Palmer"	0.0899344
"Sergi Bruguera"	0.0886861
el	0.0882069
"Martin Schmitt"	0.0876121
"Hilde Gerg"	0.0875974
"David Frost"	0.086317
"Heike Drechsler"	0.0853264
"Justin Rose"	0.0850212
"Annika Sorenstam"	0.0846987
"Mark Brooks"	0.0846484
"Eddie Cheever"	0.0842641
Ullrich	0.0840663
"Steffi Graf"	0.0838022
"Katja Seizinger"	0.0835434
"Andrew Coltart"	0.0826643
"Gunda Niemann-Stirnemann"	0.0825605
"Paul Tergat"	0.0824606
"Olin Browne"	0.0815999
"Arie Luyendyk"	0.0812168
"Darrell Waltrip"	0.0812165
"Bruce Fleisher"	0.0809326
"Lee Trevino"	0.0805942
"Alex Zanardi"	0.0800879
"Scott Dunlap"	0.0788674
"Karrie Webb"	0.0784123
Janzen	0.0774981
Nicklaus	0.0773816
"Donna Andrews"	0.077192
Parnevik	0.0770459
"Boris Becker"	0.077
"Brad Faxon"	0.0765785
Ballesteros	0.0763215
"Fred Funk"	0.0750429
"Sandra Voelker"	0.0750411
Sautin	0.0739545
"Bjarne Riis"	0.0738508
"Thomas Bjorn"	0.0738335
"Chris Perry"	0.0734661
"Bobby Rahal"	0.072994
"Arnaud Di Pasquale"	0.0728643
Kaiserslautern	0.07243
"Jim Colbert"	0.0719353
Musashimaru	0.0717163
"Erik Zabel"	0.071329
"Mike Weir"	0.0709133
Chancellor-elect	0.0708975
"Ji Xinpeng"	0.0706084
"Bill Glasson"	0.0705942
Faldo	0.0702081
"Michael Stich"	0.0701095
Westwood	0.0695273
Mickelson	0.0694724
"Xetra Dax"	0.0679655
"Nancy Lopez"	0.0677789
"Kostya Tszyu"	0.0664464
"Kenny Brack"	0.0663571
Duval	0.0659231
"Larry Nelson"	0.0656062
"Daimler-Benz AG"	0.0655723
"Al Unser Jr."	0.0651943
"Richard Krajicek"	0.0650572
"Borussia Dortmund"	0.0648969
"Pernilla Wiberg"	0.0645046
"Arantxa Sanchez Vicario"	0.064104
"Rashid Sidek"	0.0640653
"Picabo Street"	0.0639452
"Lasse Kjus"	0.0635785
"Scott Verplank"	0.0634174
"Rusty Wallace"	0.0631023
"Magnus Gustafsson"	0.0630103
"David Reid"	0.062994
"Axel Schulz"	0.0629723
"Terry Labonte"	0.0626895
"Arantxa Sanchez-Vicario"	0.0624363
"Alexandra Meissnitzer"	0.062421
"Roger Federer"	0.06239
"Gail Devers"	0.0623546
"Roy Jones Jr."	0.0623276
"Shanghai Shenhua"	0.0622627
"Pat Rafter"	0.0619033
"Answer Lively"	0.0618574
"Bill Elliott"	0.0616517
Maruyama	0.0615764
"Zoran Primorac"	0.0615112
"Peter Rasmussen"	0.0611849
Maggert	0.0611017
"Ben Hogan"	0.0608631
"Juli Inkster"	0.0608276
"Fu Mingxia"	0.0607606
"Tommy Haas"	0.0605978
Tanui	0.0605739
"Seattle Slew"	0.0605381
Karlsson	0.0602291
"River Plate"	0.060142
"Peter Jacobsen"	0.0600708
"Anke Huber"	0.059972
Ozaki	0.0599429
"Elvis Stojko"	0.0597797
"Marco Pantani"	0.0596429
"Australian Mark Philippoussis"	0.0593491
"MaliVai Washington"	0.0593142
Takanonami	0.0592393
"Juan Montoya"	0.0587677
"Lori McNeil"	0.0584551
"Jennifer Capriati"	0.0582543
"Isolde Kostner"	0.0582536
"Johnny Tapia"	0.0580527
"Michael Schumacher"	0.057923
"Michael Von Gruenigen"	0.0578255
"Ivan Ivankov"	0.0572447
"Iva Majoli"	0.0572161
"Martina Ertl"	0.0571143
"Svetlana Khorkina"	0.0569266
"Dong Jiong"	0.0568461
"Dottie Pepper"	0.0567452
Furyk	0.0567114
))
(Bernie (desc 3823.89) (sims
Jimy	0.0994376
Neil	0.0857519
Phil	0.0838637
Randy	0.0803081
Jamie	0.0797805
Doug	0.0765753
Jeb	0.0721709
Jason	0.0717045
Stan	0.0714179
Derek	0.0704614
Steve	0.069366
Reggie	0.068184
Walter	0.0678052
tom	0.0674829
Sammy	0.0666352
Tim	0.0664424
Jorge	0.0660857
Byron	0.0654783
Chris	0.0649825
Kevin	0.0649093
Roger	0.0645833
Dave	0.0643889
Jeremy	0.0643043
matt	0.0642558
Alan	0.0641711
Rick	0.0640206
Pete	0.0639561
Maurice	0.0633802
Robbie	0.0627003
Charlie	0.062525
Ricky	0.0624611
Gerald	0.0623007
Dan	0.0614021
Carl	0.061282
Jim	0.0611708
Dennis	0.0611376
Marcus	0.0610945
Marvin	0.0610307
Ron	0.0610272
Bobby	0.0610242
Ted	0.0609052
Kenny	0.0606139
Johnny	0.0605671
Jake	0.0605641
sandy	0.0604149
Scottie	0.0603144
Jerry	0.0602937
Juan	0.060174
Antonio	0.0600188
Brian	0.0596607
mike	0.0595525
Danny	0.0595297
Marty	0.0591717
Jon	0.0586907
Patrick	0.0582405
Ronnie	0.0579609
Wayne	0.0578
Larry	0.0576532
Steven	0.057508
Darryl	0.0573922
Gary	0.057366
Paul	0.0572697
Ramon	0.0572615
Evan	0.0569507
Edward	0.0566714
Corey	0.0562363
Trevor	0.0561832
Joel	0.0560782
Robert	0.0556969
Lou	0.0553892
Greg	0.0550854
Carlos	0.0549117
Jeff	0.0548983
Michael	0.0548924
Tony	0.0548813
Theo	0.0548498
Tommy	0.0542546
"Ralf Schumacher"	0.0539456
nick	0.0534636
Sean	0.0533919
Joe	0.0532494
Allan	0.0530002
"George W."	0.0523126
Billy	0.0519375
Vladimir	0.0518463
Bruce	0.0516682
Henry	0.0516243
Aurelio	0.0513973
Eddie	0.0511109
Albert	0.0510635
Philip	0.0509842
Sam	0.0507542
Chuck	0.0507136
Glen	0.0504269
Dougherty	0.0503768
Miguel	0.050201
mo	0.0501505
Louis	0.050077
Eduardo	0.050048
Craig	0.0499897
Peyton	0.0498021
Shane	0.0497414
Josh	0.0497385
Fred	0.0496104
Willie	0.0492767
Andre	0.0492614
Bret	0.0491921
Jamal	0.0491492
Ben	0.0490735
Gerard	0.0490631
Barry	0.0490236
Roy	0.0490032
Richard	0.0489742
Juanita	0.0489733
Andy	0.0489457
Evander	0.0489151
Darren	0.0488549
Sara	0.0486239
Kurt	0.0485974
Tejada	0.0485951
Keith	0.0485335
Timmy	0.0484785
Joey	0.0484287
Todd	0.0481445
Mora	0.0479938
Brett	0.0477872
Curtis	0.0477574
William	0.0476061
Edmund	0.0475838
Terry	0.0474217
knuckleballer	0.0473356
Pedro	0.0472629
Jacob	0.0472404
Vince	0.0469913
Jesse	0.0466511
Charles	0.0466195
Jose	0.0466004
Rafael	0.0465399
Garth	0.0465228
Kirby	0.046522
Harry	0.0463616
Ed	0.0463335
Matasareanu	0.0463071
Ronald	0.0463001
Peter	0.0462374
Shawn	0.0462251
Roberto	0.0462229
Rita	0.0462186
Phillip	0.0460522
Ian	0.0460019
Platt	0.0459785
Sergio	0.0459474
Arthur	0.0458085
Tuinei	0.0456602
Manny	0.0456473
Canseco	0.045564
Luis	0.0455328
jay	0.0452665
"Joe Torre"	0.0452528
Mel	0.045095
Adrian	0.0450521
A.J	0.0447083
Hank	0.0446071
Martina	0.0444747
Jonathan	0.0444628
Deion	0.0444474
J.J	0.0443673
"Quinton McCracken"	0.044344
Cepeda	0.0442827
Hugh	0.044267
dick	0.0442657
Lindsey	0.0441067
Owen	0.0440426
Brad	0.0440256
Colin	0.043799
Barney	0.0435635
Wally	0.0434562
Ernie	0.0434409
"Print Shop"	0.0434069
Ken	0.0430476
Imus	0.0430026
Jimmy	0.042909
Harold	0.0428638
Suzanne	0.0423794
Alex	0.0422662
"Scott Boras"	0.0421867
Hampshire	0.0421642
Adam	0.0420762
Ralph	0.0420568
Clyde	0.0419946
Omar	0.0419438
Claude	0.0418982
Velarde	0.0418664
Sparky	0.0418485
Bordick	0.0418378
Sonia	0.0417346
Antoine	0.0416557
Jeter	0.0416185
"Juan Miguel"	0.0415587
Sylvia	0.0415309
))
("Bernie Ecclestone" (desc 1219.73) (sims
"Billy Payne"	0.213489
"Tom Welch"	0.173313
"Mitt Romney"	0.170501
"Jack Valenti"	0.154462
"Wim Duisenberg"	0.147215
"Gianni Agnelli"	0.135618
"Alex Ferguson"	0.131068
"Joao Havelange"	0.129638
"James Barksdale"	0.128252
"Mel Karmazin"	0.127492
"Glen Sather"	0.126865
"Sepp Blatter"	0.120998
"Richard Branson"	0.117149
"Vladimiro Montesinos"	0.111596
"John J. Gotti"	0.11052
"Jeffrey Katzenberg"	0.110436
"Joel Klein"	0.108946
"Kevin Keegan"	0.108772
"Ronnie Flanagan"	0.10808
"Tom Johnson"	0.107466
"Dave Checketts"	0.105719
Naumann	0.10415
"Juan Antonio Samaranch"	0.103389
"Carmen Policy"	0.101427
"Xanana Gusmao"	0.0991178
"Mark Cuban"	0.0986959
"Bernard Kouchner"	0.0979428
"Mary Robinson"	0.0976119
"Barry McCaffrey"	0.0972711
"Ricardo Alarcon"	0.0970445
"Japanese Grand Prix"	0.0959819
"Ray Evernham"	0.0937363
constructor	0.0931267
"Michel Camdessus"	0.090694
"Charles LaBella"	0.0901961
"Billy Hunter"	0.0892675
"Lino Oviedo"	0.0884474
"Frank Stronach"	0.088322
"Renato Ruggiero"	0.0867246
"Ruud Gullit"	0.0862136
"Alexander Lebed"	0.0851517
"Mika Salo"	0.0846859
"Rolf Ekeus"	0.0845085
"John Sweeney"	0.0838076
"Sumner Redstone"	0.0830621
"Jack Welch"	0.0825454
"Larry Ellison"	0.0824642
"Jacques Santer"	0.0819503
"James P. Hoffa"	0.0817965
"Boris Fyodorov"	0.0817831
"Richie Phillips"	0.081022
"Rod Thorn"	0.0805046
"M. Douglas Ivester"	0.0802915
"Ansumane Mane"	0.0801512
"Scott McNealy"	0.0796322
"Jerry Colangelo"	0.0792401
"Tony George"	0.0782959
"John Browne"	0.0781301
"Edgar Bronfman Jr."	0.0773698
"Gerald Levin"	0.0771669
"Steve Ballmer"	0.0766149
"Barry Diller"	0.0758139
"Bruce Teitelbaum"	0.0754781
"Kim Yong Nam"	0.0748304
"Wolfgang Schaeuble"	0.0746274
"Kim Dae Jung"	0.0742562
"Sadako Ogata"	0.0741713
"Franz Beckenbauer"	0.0741241
"Steve Case"	0.0727965
"Moshood Abiola"	0.0725835
FIA	0.0721437
"Craig Barrett"	0.0721273
"Carol Bellamy"	0.0715484
"Michael Dell"	0.0713608
"Rupert Murdoch"	0.07132
"Glenn Hoddle"	0.0711892
"racing circuit"	0.0709947
"Le Kha Phieu"	0.0705875
Tennant	0.0705754
"Xie Zhenhua"	0.0705382
Newhouse	0.0701742
"Vladimir Gusinsky"	0.0700977
"George Tenet"	0.06944
"Hashim Thaci"	0.068854
Moonves	0.0686362
Nebiolo	0.0679981
"Frank Joklik"	0.0675835
"Shaul Mofaz"	0.0672914
"Gulbuddin Hekmatyar"	0.0672326
"Mario Andretti"	0.0671382
Zeroual	0.0671168
Narayanan	0.0666182
"Nicholas II"	0.0652262
Chissano	0.0645333
Demaci	0.0641084
"Anatoly Chubais"	0.0640207
"Ted Turner"	0.0639005
"George Steinbrenner"	0.0638652
"Fehmi Agani"	0.0634777
"Esmat Abdel Meguid"	0.0631049
"Richard Butler"	0.0630699
Ershad	0.0624266
Isaias	0.0622684
Klestil	0.0622604
"Jacques Villeneuve"	0.0620937
"Damon Hill"	0.06202
"Fayez Tarawneh"	0.0618139
"Sandy Alderson"	0.0609071
"Mike Moore"	0.0607646
"Joseph Estrada"	0.0599511
Jayalalitha	0.059696
"car race"	0.0592819
"William Walker"	0.0591093
"John Kelly"	0.0589108
"Jonas Savimbi"	0.0587284
Weah	0.0582246
"Nur Misuari"	0.0574263
"William Jefferson Clinton"	0.0574183
"Gianluca Vialli"	0.0563364
"Begum Khaleda Zia"	0.0560433
"Aslan Maskhadov"	0.0556912
"Chea Sim"	0.0556827
"Martti Ahtisaari"	0.0555976
"Gennady Zyuganov"	0.0553168
Diller	0.055316
"Ketumile Masire"	0.0553082
"Bill Lann Lee"	0.0550908
"Michael Eisner"	0.0550732
"General Security Service"	0.054952
Constantinescu	0.0549091
Blatter	0.0548551
"Olusegun Obasanjo"	0.0547582
Portillo	0.0545738
"Bob McNair"	0.0545555
"Gro Harlem Brundtland"	0.054437
"Zoran Djindjic"	0.0544109
Colangelo	0.0542904
"John Koskinen"	0.0542097
"Gordon Brown"	0.0541297
"Vladimir Putin"	0.0540716
"Tung Chee-Hwa"	0.0539131
Kazhegeldin	0.0535572
"Sino-British Joint Liaison Group"	0.053135
"Thabo Mbeki"	0.0527795
Ballmer	0.0522718
Perelman	0.0520168
"Kevin McHale"	0.0519163
"Jamil Mahuad"	0.051722
Collymore	0.0516878
Salim	0.0515244
"Bob Jones"	0.0514349
"Ta Mok"	0.051334
"Julius Nyerere"	0.0513237
McNamara	0.0513005
"Khaleda Zia"	0.051262
"George Speight"	0.0512289
"Jacques Chirac"	0.0510296
"Colin Campbell"	0.0510182
"Andrew Jackson"	0.0509157
"Dos Santos"	0.0507352
"Ministry of Posts"	0.0506374
"Joerg Haider"	0.050497
Brittan	0.0504146
"Pol Pot"	0.0504116
"Marc Andreessen"	0.0504096
Parks	0.0503676
"Sali Berisha"	0.0501442
"North Atlantic Council"	0.0499001
Camdessus	0.0498002
Sassa	0.0496738
Kaunda	0.049654
"John Morris"	0.0495438
Scalfaro	0.0493901
"racing car"	0.0491689
"Pervez Musharraf"	0.0491586
"Nikola Poplasen"	0.0491409
"Steve Fossett"	0.0491089
Beckenbauer	0.0489995
"Joint Liaison Group"	0.0487153
"Stanley Fischer"	0.0487037
Aw	0.0486531
Weizman	0.0484651
Santer	0.0484075
"Michael Ovitz"	0.0483903
Purcell	0.0483566
"Danny Yatom"	0.0480844
SAirGroup	0.0480058
Milutinovic	0.0480052
"Pervaiz Musharraf"	0.0476199
"Robert Rubin"	0.0476034
Barad	0.047464
"Ernesto Zedillo"	0.0474039
"Robert Johnson"	0.0472758
"Australian Cricket Board"	0.0469773
"George Robertson"	0.0468836
"Grigory Yavlinsky"	0.0466121
"Salim Ahmed Salim"	0.0466116
"Abdurrahman Wahid"	0.0465708
BURNHAM	0.0465655
"British Grand Prix"	0.0465267
))
("Bernie Williams" (desc 18072.2) (sims
"Scott Brosius"	0.317235
"Paul O'Neill"	0.315165
"Chuck Knoblauch"	0.298118
"Derek Jeter"	0.288061
"Tino Martinez"	0.280084
"Jorge Posada"	0.274424
"Chad Curtis"	0.253077
"Chili Davis"	0.252641
"Nomar Garciaparra"	0.211754
"Brian Jordan"	0.210921
"Andruw Jones"	0.206822
"Joe Girardi"	0.202361
"Kenny Lofton"	0.200249
Brosius	0.198358
"Ricky Ledee"	0.194545
Jeter	0.192506
Olerud	0.19096
"Garret Anderson"	0.189994
"Shane Spencer"	0.189678
"Tim Raines"	0.188832
"John Olerud"	0.185749
"Carl Everett"	0.185278
"Alex Rodriguez"	0.185149
"Gerald Williams"	0.185061
"Chipper Jones"	0.184773
"Barry Bonds"	0.184328
"Robin Ventura"	0.182956
"Devon White"	0.180314
"Greg Vaughn"	0.180016
"Rafael Palmeiro"	0.17946
"Mo Vaughn"	0.17903
"Jim Edmonds"	0.178144
"Darryl Strawberry"	0.176739
"Luis Sojo"	0.176712
Knoblauch	0.176632
"Ken Griffey Jr."	0.176585
"Tim Salmon"	0.175679
"Mike Piazza"	0.175495
"B.J Surhoff"	0.174413
"Manny Ramirez"	0.173358
"Edgardo Alfonzo"	0.172994
"Jim Leyritz"	0.170788
"Darin Erstad"	0.170496
"Juan Gonzalez"	0.170195
"Mariano Rivera"	0.167986
"Gary Sheffield"	0.167864
"Jim Thome"	0.166737
"Troy Glaus"	0.166087
"Clay Bellinger"	0.165805
"Omar Vizquel"	0.165407
"Albert Belle"	0.164757
Palmeiro	0.164624
"Andy Pettitte"	0.164508
"Jose Offerman"	0.164347
"Steve Finley"	0.162561
"Ken Caminiti"	0.161704
"Ivan Rodriguez"	0.159847
Garciaparra	0.159643
Alfonzo	0.159086
"Moises Alou"	0.158834
"Mike Cameron"	0.15831
Karros	0.158077
"Shawn Green"	0.157231
"Tony Gwynn"	0.157092
"Glenallen Hill"	0.156922
"Troy O'Leary"	0.156672
O'Neill	0.15538
"Eric Owens"	0.154894
"Frank Thomas"	0.153201
"Fred McGriff"	0.152297
"Jeff Bagwell"	0.15146
"Roberto Alomar"	0.15105
Griffey	0.15065
"Darren Lewis"	0.150077
"Jay Bell"	0.149295
"Rickey Henderson"	0.148543
"Matt Williams"	0.147774
"John Valentin"	0.147371
Vaughn	0.147215
"Scott Rolen"	0.146452
"Javy Lopez"	0.146386
"Derek Bell"	0.14621
"Dante Bichette"	0.14587
"Jay Buhner"	0.144824
Ledee	0.144787
"Johnny Damon"	0.144771
"Travis Fryman"	0.144435
"Vladimir Guerrero"	0.143504
Martinez	0.143502
Piazza	0.142407
"Tom Goodwin"	0.141702
Valentin	0.141623
"Todd Zeile"	0.140849
"Brian Daubach"	0.140097
"David Wells"	0.139987
"David Cone"	0.139728
"Cal Ripken"	0.139568
"Marvin Benard"	0.139036
"Raul Mondesi"	0.138626
"Todd Hundley"	0.138489
"Quinton McCracken"	0.138296
"Andres Galarraga"	0.138027
Erstad	0.13687
"Roger Clemens"	0.136713
"Ryan Klesko"	0.13586
Rodriguez	0.135821
"Mike Stanley"	0.135199
"Jason Varitek"	0.135179
"Eric Karros"	0.135159
Bagwell	0.135125
"Mark Grudzielanek"	0.135123
"Ray Durham"	0.134596
"Marquis Grissom"	0.134114
"Jose Hernandez"	0.134049
"Craig Biggio"	0.133324
Surhoff	0.133069
Posada	0.132788
"Mark McGwire"	0.132686
"Adrian Beltre"	0.132598
"Edgar Martinez"	0.132469
"Carlos Delgado"	0.13211
Glaus	0.132017
"Jason Giambi"	0.131755
"Mark Grace"	0.131252
"Bruce Aven"	0.130683
"Brian Giles"	0.13065
"Sammy Sosa"	0.129867
"Rusty Greer"	0.129418
"Matt Stairs"	0.129229
"Matt Lawton"	0.12874
"Preston Wilson"	0.128431
"Mike Sweeney"	0.12792
"Bret Boone"	0.127724
"Carlos Beltran"	0.126677
"Mike Bordick"	0.126354
"Charles Johnson"	0.126291
"Paul Konerko"	0.125461
"Brady Anderson"	0.125446
"Brian McRae"	0.125351
"Ruben Rivera"	0.125078
Zeile	0.124773
"Todd Helton"	0.124762
"Terrence Long"	0.124497
"Barry Larkin"	0.12448
"Mark McLemore"	0.124166
"David Segui"	0.124092
"Quilvio Veras"	0.123181
"Will Clark"	0.123028
Thome	0.1224
"Jose Canseco"	0.121807
"Orlando Hernandez"	0.121701
"Jeff Kent"	0.121612
"Phil Nevin"	0.121321
"Benny Agbayani"	0.121321
Alicea	0.121059
"Trot Nixon"	0.120901
"Henry Rodriguez"	0.120835
"Rondell White"	0.120389
"Doug Glanville"	0.119311
Daubach	0.119064
McGriff	0.118571
Ordonez	0.118127
Rolen	0.118122
"Eric Young"	0.117607
"Ron Gant"	0.117206
"Darren Bragg"	0.11659
"Darryl Hamilton"	0.116554
"John Vander Wal"	0.116471
"Ellis Burks"	0.11594
"Harold Baines"	0.115805
"Bobby Higginson"	0.115721
"J.T Snow"	0.115473
Sosa	0.115353
"Bobby Abreu"	0.115292
Williams	0.115102
Vizquel	0.114982
Mondesi	0.11489
"Roger Cedeno"	0.114624
"Reggie Sanders"	0.114551
"Dean Palmer"	0.11428
"Adam Kennedy"	0.114171
Vidro	0.114054
"David Bell"	0.113992
Cirillo	0.113797
"Joe Randa"	0.11352
"Luis Gonzalez"	0.113302
"Eric Davis"	0.113253
"Mark Kotsay"	0.112975
"Larry Walker"	0.112808
"Butch Huskey"	0.112562
"Brian Hunter"	0.112503
"Geoff Jenkins"	0.112063
Canseco	0.111706
Agbayani	0.111507
"Royce Clayton"	0.111397
Grudzielanek	0.111289
"Ben Grieve"	0.111179
"Ramiro Mendoza"	0.111046
"Dave Martinez"	0.11078
"Damon Buford"	0.110753
"Carlos Baerga"	0.110576
Bordick	0.110356
"Jay Payton"	0.11034
"J.D Drew"	0.110184
"Brant Brown"	0.11006
"Pat Meares"	0.109577
"Luis Alicea"	0.109557
Gonzalez	0.10941
Hundley	0.109287
Offerman	0.109244
Fullmer	0.108955
Abreu	0.108884
"Eddie Taubensee"	0.108682
"Carlos Lee"	0.108381
"Paul Bako"	0.108229
"Matt Franco"	0.107859
Leyritz	0.10785
Giambi	0.107532
"Lee Stevens"	0.10682
Beltran	0.106746
"Rey Ordonez"	0.106624
"Michael Tucker"	0.106083
Beltre	0.105899
McGwire	0.105866
"Jose Vizcaino"	0.105739
"Jeff Conine"	0.105455
"Russ Johnson"	0.105412
"Jeff Cirillo"	0.105201
"Kevin Brown"	0.105175
"Jeffrey Hammonds"	0.104793
"Luis Polonia"	0.104649
"Jason Kendall"	0.1046
Burnitz	0.104576
"Tim Bogar"	0.104564
Caminiti	0.104522
Kapler	0.104467
Curtis	0.104435
belle	0.104323
"Bobby Bonilla"	0.104028
Lankford	0.103927
"Scott Spiezio"	0.103859
"Al Martin"	0.103573
"Randy Velarde"	0.10338
"Warren Morris"	0.103231
Girardi	0.103027
"Tony Batista"	0.103019
Randa	0.102992
"Orlando Palmeiro"	0.102843
Spencer	0.102596
"Todd Hollandsworth"	0.102457
"Deivi Cruz"	0.102444
Lofton	0.102321
Segui	0.1023
"Alex Gonzalez"	0.102286
"Juan Encarnacion"	0.102253
"Wade Boggs"	0.102216
"Sandy Alomar"	0.102192
"Richard Hidalgo"	0.102022
"Ray Lankford"	0.101889
"Damian Miller"	0.101847
Galarraga	0.101773
"Jose Cruz Jr."	0.101672
"Dave Hansen"	0.101444
Ramirez	0.101438
Pettitte	0.100887
"Travis Lee"	0.10079
"Bill Spiers"	0.100694
Edmonds	0.100607
"Kevin Young"	0.100595
"Russ Davis"	0.100564
"Magglio Ordonez"	0.100347
"Wally Joyner"	0.100291
"Tony Eusebio"	0.100058
))
(Bernstein (desc 11131.8) (sims
"Leonard Bernstein"	0.138554
Stravinsky	0.108522
Ellington	0.103622
Mahler	0.0922074
Copland	0.0870617
Shostakovich	0.0849066
Sondheim	0.0844053
Tchaikovsky	0.083383
Piniella	0.0797199
Beethoven	0.0789118
Ives	0.0780331
Gershwin	0.0769575
Bach	0.0767134
DVORAK	0.0760254
Presley	0.0745332
Rosenberg	0.0730224
Newman	0.0729682
Hess	0.072857
"George Gershwin"	0.0726862
Elgar	0.0722998
Weill	0.0719792
Mehta	0.0717306
Weiner	0.0713871
Reilly	0.0708732
Friedman	0.0704715
Krall	0.0699337
"John Williams"	0.0697415
Menchu	0.0697355
Berlioz	0.0694275
Carroll	0.0690926
Sheehy	0.0687582
Wolff	0.0673044
Hoffman	0.0670587
Kurtz	0.066948
Mahoney	0.0667662
Levin	0.0665755
"Andrew Lloyd Webber"	0.0658538
Silverstein	0.0656375
Mozart	0.0653127
Quintero	0.0653037
Ziegler	0.0651881
Goodman	0.0645727
Hawkins	0.0640867
Farrell	0.06408
Cleary	0.0640755
Caruso	0.063818
Gaines	0.063691
Borodin	0.0636259
Levine	0.0635192
Vasquez	0.0630819
krueger	0.0629845
Mcbride	0.062882
Schoenberg	0.06285
Britten	0.062584
Rosenthal	0.0623562
Sinatra	0.0623318
Shapiro	0.0622076
Newhouse	0.0621575
Goldstein	0.0620011
Thomson	0.0619365
LaChiusa	0.0618253
Boyle	0.0618066
Lennon	0.061729
Gartner	0.0617002
Fagan	0.0614347
Carmichael	0.0613214
Jacobs	0.0612572
Mitchell	0.061236
Messiaen	0.0610046
Morrison	0.0609946
Meyer	0.0609653
Powell	0.0608935
"Cole Porter"	0.0608101
nance	0.0607569
Meyers	0.0607469
Coleman	0.0606346
Puente	0.0605612
Schulz	0.0605559
Rachmaninoff	0.0605136
Babbitt	0.0604104
Berenson	0.0603867
Hartley	0.0601952
Dion	0.0601842
lynch	0.0600712
Wolfe	0.0599201
Shulman	0.0599025
Cline	0.0598492
Sullivan	0.059629
Barrett	0.0595295
Baum	0.0594764
Ozawa	0.0593759
Gillespie	0.0593282
Olson	0.0592401
Kroll	0.0590089
Waxman	0.058999
Bennett	0.0589361
Joplin	0.0587918
Lombardi	0.0587698
Evans	0.0584509
Rivlin	0.0583977
Rivera	0.0583037
fowler	0.058288
Richards	0.0582376
Macdonald	0.0581539
Caldera	0.0581161
Phillips	0.0581092
Cooke	0.0580932
"Duke Ellington"	0.0580543
Weil	0.0579232
Greenwald	0.0579227
Berman	0.0577538
Donahue	0.0576179
Tilberis	0.0575819
Prokofiev	0.0574398
Manson	0.0572687
Osborne	0.0571863
Porter	0.0571677
Cole	0.0571256
turner	0.0571236
Jewell	0.0570221
Abbott	0.0568868
Finkel	0.0568483
Ferguson	0.0568313
Hanna	0.0567927
Feldman	0.0567623
Carter	0.0567209
Berger	0.0566453
Kaplan	0.0566278
Burroughs	0.0565975
hale	0.0565735
Schubert	0.0565369
Patten	0.0564579
Gilmore	0.0564351
Davidson	0.0563724
Gallagher	0.0563075
Spitzer	0.0562788
McDonald	0.0562438
Wilder	0.0561972
O'Brien	0.0561902
Doyle	0.0561149
Nolan	0.0560838
Gibson	0.0560666
Chopin	0.0560636
MacKay	0.0557485
Barlow	0.055701
Andersen	0.0554979
Elliott	0.0554971
Katz	0.0553686
Rubinstein	0.0553492
Steele	0.0552521
Greenberg	0.0551791
Roth	0.0551741
Rodgers	0.0551146
Connolly	0.0549418
Kennedy	0.0549341
Welch	0.0548099
McCall	0.0547982
Ross	0.0546916
Cohn	0.0546423
Dowd	0.0544846
Schwarz	0.0544468
Donnelly	0.0543573
Merritt	0.0543365
Harris-Lewis	0.0542796
Hirschfeld	0.0542662
Bowden	0.0542223
Spielberg	0.0541603
Woodward	0.0541573
Marsalis	0.0540734
Goldin	0.0540617
Sheppard	0.0539389
Rockefeller	0.0539288
Mann	0.0539157
Higgins	0.0538959
collins	0.0538811
Tripp	0.0538421
Harris	0.0538277
Faulder	0.0537185
"Lloyd Webber"	0.0536325
O'Connor	0.053505
Tuttle	0.0534849
Whaley	0.0534602
Sutton	0.0534561
Lehman	0.053413
Egan	0.0533573
Garber	0.0533018
Armstrong	0.0532767
Lerner	0.0532377
Dyson	0.0532227
Weis	0.0531997
Brooks	0.0531899
Carlin	0.0531759
Einhorn	0.0531587
Duffy	0.0531552
Farber	0.0529754
Kopp	0.0529128
Schafer	0.0528486
Frankel	0.0528068
Batouty	0.052789
Hecht	0.0527838
))
(Berra (desc 3702.57) (sims
"Yogi Berra"	0.104348
Mays	0.102886
Ftorek	0.0979086
Harrick	0.0965941
Maris	0.0904915
Scioscia	0.0891645
Lundberg	0.0883422
Torre	0.0875259
Cashman	0.0869929
Musial	0.0850658
DiMaggio	0.0843523
Zambrano	0.0843266
Gullit	0.0840849
Zimmer	0.0831275
Fisk	0.0826863
Griese	0.0823813
Leyritz	0.0803018
Esposito	0.0801856
Seaver	0.0801436
Padilla	0.0798584
Whittingham	0.0771528
"La Russa"	0.0756906
Hartsburg	0.0755896
Cha	0.0755292
Aaron	0.0747756
Stepashin	0.0743037
Calhoun	0.0740893
Gehrig	0.0732891
"Johnny Oates"	0.073128
Milutinovic	0.0724868
Keenan	0.072076
Baerga	0.0719984
Coffey	0.0719857
Hargrove	0.0712573
Groh	0.0712316
Calipari	0.0709964
Skuratov	0.0709501
Koufax	0.0708518
Calloway	0.0704563
Posada	0.0701699
Gooden	0.0699735
Bowden	0.0697555
Grachev	0.0697249
Lambright	0.0693288
Brister	0.0690589
Sampson	0.0688221
Casserly	0.0687553
Hoffman	0.0687107
"Joe Girardi"	0.0686853
Popovich	0.06833
Milbury	0.0682073
Muckler	0.0681899
Narayanan	0.0681392
Ponciano	0.0680839
Messier	0.0680832
Anand	0.0678981
"Reggie Jackson"	0.0676885
Cavallo	0.0674865
Canty	0.0674665
Vermeil	0.0674636
Lasorda	0.0673641
Blackman	0.0672697
Hess	0.0669093
Musharraf	0.0668151
Stanton	0.0666835
"Don Zimmer"	0.0661255
Nasrallah	0.0660448
Wheatley	0.0659108
Reimer	0.0656609
"Dwight Gooden"	0.0656598
Tuinei	0.0655604
Schaeuble	0.0655345
Vogts	0.0655177
"Jim Harrick"	0.0653311
beamer	0.0650421
McIlvaine	0.0647864
Benitez	0.0647103
nance	0.0643712
Perrot	0.0643009
Fiorina	0.0641764
Shoate	0.0640939
Lowery	0.064022
Nowitzki	0.0639944
Marichal	0.0639617
"Red Auerbach"	0.0639461
Asprilla	0.0639358
Landry	0.0638077
Rodionov	0.0636448
Ozersky	0.0635182
MALICK	0.0633401
Girardi	0.0631268
Meggett	0.062973
Jett	0.0627987
Maradona	0.0626936
Palmeiro	0.062678
Jaffe	0.062585
Abdul-Jabbar	0.0625505
Cooke	0.0622178
Gagne	0.0621669
Engelberg	0.0620405
Finkel	0.061842
Stoneman	0.0617785
Azizah	0.0617661
Pryor	0.0616372
"Van Gundy"	0.0616093
Marulanda	0.061437
"Billy Martin"	0.0614064
Jeffers	0.061331
Crenshaw	0.0612477
Garber	0.0612415
Flores	0.0612369
Okada	0.0608704
Dierker	0.0605977
Condit	0.0605816
Zeile	0.0602999
Hundley	0.0600095
Graziano	0.0600039
Gwynn	0.0599873
Larsen	0.0598685
Maher	0.0597568
Kilborn	0.0597196
"John Calipari"	0.0595892
Ruehe	0.0595754
krueger	0.0595421
Piniella	0.0595149
"Davey Johnson"	0.0594835
"Don Baylor"	0.059481
Wilkens	0.059403
"Willie Mays"	0.0591505
Cowan	0.0590199
Ripken	0.0589473
"Carlton Fisk"	0.0589193
Byrdsong	0.0588919
Vasile	0.0588738
"Juan Miguel"	0.0588631
Phills	0.0588506
Chapman	0.0588038
"Sandy Alomar"	0.0587747
Chubais	0.0586948
Sykes	0.0585524
Skakel	0.0584572
Rhodes	0.0582802
Daft	0.0580976
"Mike Scioscia"	0.0579227
Antley	0.0578566
Jeter	0.0577355
McNamara	0.0576911
Deion	0.0576489
Ashrawi	0.0575977
Erving	0.0575951
Wren	0.0574904
McCourt	0.057466
Geiger	0.0574267
"Mike Barnicle"	0.0574011
Harr	0.0573066
"Jack Nicklaus"	0.057091
Moratinos	0.0570661
Gascoigne	0.0570229
Dunlap	0.0570084
Sharma	0.0569876
Osborne	0.0569348
Valentin	0.0569304
Fassel	0.0568388
Carroll	0.0568103
Stevenson	0.0566918
Gaynor	0.0566848
Hendricks	0.0566305
Fassett	0.0566226
Bingham	0.0566148
Chamberlain	0.0565952
Yassin	0.0565774
Rooney	0.0565733
Ahern	0.0565189
Belcher	0.0564643
Ozawa	0.0564621
Kennard	0.056332
Draskovic	0.0563032
Ferguson	0.0562963
Hewitt	0.0562579
Sassa	0.0562576
"Del Harris"	0.0562419
Brazile	0.0562094
Underwood	0.0561977
Kushner	0.0561742
Varitek	0.0559085
Pickens	0.0558972
Kerrigan	0.055854
Fassero	0.0558086
Zenga	0.055772
Coulter	0.0556817
Westbrook	0.0555983
Warshaw	0.0555628
Atler	0.0555625
Cleary	0.0555606
Zheng	0.055545
Soldini	0.0555095
Yount	0.0554925
Carr	0.0554676
Mulligan	0.0554651
Gonzales	0.0554421
))
(Berri (desc 1737.85) (sims
Boueiz	0.267802
Kasoulides	0.243206
Hrawi	0.224601
Lahoud	0.217363
Velayati	0.208269
"de Charette"	0.207057
Moratinos	0.204235
Khaddam	0.2039
Stoyanov	0.200509
Ruehe	0.197277
Meguid	0.190009
Hoss	0.186068
Shareh	0.184856
Jayakumar	0.178083
Rifkind	0.173453
Ciampi	0.172382
Phieu	0.169471
Azad	0.169279
Granic	0.168312
Ikeda	0.167059
Hariri	0.166818
Karimov	0.16549
Guterres	0.165043
Pangalos	0.164924
Harmoko	0.164478
Komura	0.162995
Abdel-Meguid	0.161942
Siazon	0.160139
Alatas	0.158422
Scalfaro	0.158059
Klestil	0.152767
Rodionov	0.152479
Dini	0.152344
Ganzouri	0.152179
Cem	0.151811
Akayev	0.149728
Nasrallah	0.149095
Ikimi	0.148349
Yastrzhembsky	0.148335
Rong	0.148275
Kwasniewski	0.146887
Husseini	0.146555
Diouf	0.146081
Sumaye	0.145684
Niyazov	0.145503
Nzo	0.143978
"Mahmoud Zouebi"	0.143393
Mkapa	0.141993
Kok	0.141986
Seleznyov	0.141258
Zuma	0.14108
Shaath	0.141051
Zou	0.140031
Constantinescu	0.138028
Nujoma	0.137583
Kharrazi	0.137551
Majali	0.137354
Shevardnadze	0.135673
Yazdi	0.135591
Lipponen	0.135578
Hamad	0.13506
Wolfensohn	0.134518
Meles	0.133789
Tsvangirai	0.133189
Kostov	0.132517
Surin	0.131955
Nemtsov	0.131028
Kyprianou	0.130994
"Maung Aye"	0.130715
Fino	0.130567
Abbas	0.130186
Insulza	0.129994
Guei	0.129566
Pustovoitenko	0.129267
Jovanovic	0.1288
Deuba	0.128452
Pickering	0.127622
Severino	0.127072
Tarrin	0.126975
Bruton	0.126852
Muoi	0.126582
Leghari	0.1264
Vasile	0.125487
Santer	0.125317
Zeng	0.124286
Bizimungu	0.123507
Sergeyev	0.123396
Erekat	0.122874
Bolger	0.1219
Modise	0.121712
Saleh	0.121529
Nazarbayev	0.121432
Waigel	0.12074
Qiao	0.120682
Stroyev	0.120583
Baz	0.120452
"De Soto"	0.120265
Ecevit	0.119992
Orban	0.119618
Ghali	0.119559
Gaddafi	0.119466
Iliescu	0.119342
Brittan	0.118782
Kabariti	0.118687
Demirel	0.117886
Ben-Ami	0.117373
Camdessus	0.117294
Tsang	0.117245
Chiluba	0.117027
Rakhmonov	0.117019
Shara	0.116602
Grachev	0.116376
Xanana	0.11542
Ivanov	0.115411
Brahimi	0.115137
Sharaa	0.115085
Fernandes	0.114716
Goh	0.114317
Galvin	0.113006
Garang	0.112985
Narayanan	0.112907
Azizah	0.112895
Ogata	0.112661
Rawabdeh	0.112555
Holl	0.11157
Masire	0.11117
Moussa	0.110748
Axworthy	0.110647
Indyk	0.110476
Shamshad	0.110254
Aziz	0.110233
Alarcon	0.109852
Gujral	0.109665
Bulatovic	0.109123
Singson	0.10909
"Secretary General Esmat Abdel-Meguid"	0.109018
Klima	0.108832
Lari	0.108771
"Sheikh Saad"	0.108581
Aventajado	0.108404
Kono	0.108253
Kuchma	0.108239
Chavalit	0.107558
Izetbegovic	0.107531
Malu	0.107285
Prueher	0.106431
Havelange	0.106078
Scharping	0.105767
Zhirinovsky	0.105591
Chissano	0.105519
Buzek	0.105408
Vollebaek	0.10515
Soares	0.105122
Wilhelm	0.104913
Schuessel	0.104816
Vedrine	0.104721
Tarawneh	0.104705
Ahern	0.104175
Jia	0.104156
Kumaratunga	0.104054
Menem	0.103933
Gurirab	0.103909
"Salim Hoss"	0.103817
Hasina	0.103737
Chirac	0.103637
Erbakan	0.103604
Levitt	0.103566
"Speaker Ali Akbar Nateq-Nouri"	0.102624
Barshefsky	0.10254
Ashrawi	0.102528
Solana	0.102453
Kinkel	0.102421
Luo	0.102274
Westendorp	0.10194
"Abu Ala"	0.100642
Majko	0.100452
Dehaene	0.100441
Maslyukov	0.100294
Muluzi	0.100044
Kromah	0.100042
Banharn	0.0998469
Barzani	0.099201
Sahnoun	0.0990462
"Israeli Foreign Ministry"	0.098773
"Li Peng"	0.0986876
Clerides	0.0986487
Cao	0.0986346
"Chuan Leekpai"	0.0984922
Rau	0.0984566
Zeroual	0.0984386
al-Hariri	0.0984252
Museveni	0.098137
LeBlanc	0.0980271
Ciller	0.0975166
Mordechai	0.0975034
"Frederick Sumaye"	0.0974548
Advani	0.097266
Aliyev	0.0971394
Chuan	0.097122
Iglesias	0.0971219
))
(berry (desc 37899) (sims
raspberry	0.186676
strawberry	0.181538
tomato	0.17425
fruit	0.173855
blueberry	0.167693
peach	0.166019
Cherry	0.158369
pear	0.144287
mango	0.14411
blackberry	0.143143
grape	0.142731
lemon	0.138351
melon	0.137609
pineapple	0.136899
apple	0.136503
plum	0.132371
onion	0.132238
"whipped cream"	0.131378
fig	0.131177
vegetable	0.129798
apricot	0.129627
potato	0.128086
mushroom	0.12786
coconut	0.126985
raisin	0.121869
banana	0.121306
leaf	0.120979
herb	0.119272
cranberry	0.115789
bean	0.115506
pecan	0.115388
yogurt	0.115206
nectarine	0.113316
chocolate	0.113231
cheese	0.111094
olive	0.110669
lettuce	0.110026
cucumber	0.109143
RHUBARB	0.109059
flower	0.108963
nut	0.108142
pumpkin	0.107644
Garlic	0.107625
corn	0.107386
juice	0.10702
almond	0.10556
beet	0.104848
Orange	0.10356
Basil	0.103028
pepper	0.102959
egg	0.102779
cabbage	0.102553
butter	0.101965
spinach	0.100991
watermelon	0.10034
grapefruit	0.0999445
lime	0.0999144
shrimp	0.0996972
eggplant	0.0984248
persimmon	0.0983385
avocado	0.0981961
papaya	0.0976673
"sour cream"	0.0975307
spice	0.0973657
prune	0.0973409
pea	0.0967642
sugar	0.0967072
vanilla	0.0964637
"ice cream"	0.0957363
asparagus	0.0956771
carrot	0.094521
milk	0.0942368
bread	0.0939544
honey	0.0939157
sauce	0.0937901
Quince	0.0933067
"red pepper"	0.0923816
meat	0.0917562
cream	0.0915719
"peanut butter"	0.0914783
cake	0.0910585
celery	0.0904619
"sweet potato"	0.0904525
buttermilk	0.0903862
"dried fruit"	0.0902657
"cottage cheese"	0.090167
mint	0.0900891
chicken	0.0896908
parsley	0.0891857
chilies	0.0891378
"Shawn Berry"	0.0891246
mayonnaise	0.0888934
truffle	0.0875965
soup	0.0874901
custard	0.0873847
artichoke	0.0869261
syrup	0.0867659
noodle	0.0867621
walnut	0.086508
"brown sugar"	0.0864597
zucchini	0.085846
"orange juice"	0.0855529
puree	0.0855017
fennel	0.0854026
leek	0.084878
ginger	0.0847815
slice	0.0841937
coffee	0.0840956
scallop	0.0840372
cilantro	0.0837788
ricotta	0.0837402
salad	0.0835589
"tomato sauce"	0.0832508
scallion	0.0831998
vinegar	0.0823978
blossom	0.0812945
Jell-O	0.0811361
rice	0.0810435
"goat cheese"	0.080837
licorice	0.0806442
chiles	0.0800963
mustard	0.0800447
flour	0.0799483
mussel	0.0799209
fish	0.0795414
hazelnut	0.0795338
squash	0.0794757
wine	0.0793937
crumb	0.079309
bacon	0.0784132
sprout	0.0781254
plantain	0.0780189
shallot	0.077769
citrus	0.0772085
tortilla	0.0771264
cantaloupe	0.0769666
pasta	0.0768159
Broccoli	0.0766143
oyster	0.0764765
"vanilla ice cream"	0.076145
fraiche	0.0761252
"coconut milk"	0.0759733
Pudding	0.0759637
Chickpea	0.0759452
cider	0.0756869
kernel	0.0756744
"cherry tomato"	0.0754448
tea	0.0753657
peanut	0.075229
jelly	0.0751283
veggie	0.0750042
crab	0.0747653
tofu	0.074593
barley	0.0745292
sausage	0.0744596
curry	0.074395
lentil	0.0742467
clove	0.0741546
pomegranate	0.0737681
seaweed	0.0737439
peppercorn	0.0733304
broth	0.0732069
"cream cheese"	0.0730517
foliage	0.0729162
vine	0.0728688
"egg white"	0.0726567
marshmallow	0.0720849
Chili	0.0720082
"olive oil"	0.0720012
"black bean"	0.0719769
salmon	0.0719042
clam	0.0718146
cinnamon	0.0717
"heavy cream"	0.0716733
"pine nut"	0.0716687
salsa	0.0714191
arugula	0.0713406
pickle	0.0712778
candy	0.0712451
seafood	0.0711224
ketchup	0.0709309
"green onion"	0.0709173
bloom	0.070894
pork	0.0704886
flavor	0.0704049
"lime juice"	0.0704042
radish	0.06993
"lemon juice"	0.0698594
lobster	0.0698521
bark	0.0697686
"citrus fruit"	0.0696426
"red wine"	0.0695538
cashew	0.0695129
cooky	0.0693617
ham	0.0693495
stem	0.0692453
"green bean"	0.0691884
Liquid	0.0691651
grain	0.069095
tuna	0.0690559
))
(Bert (desc 1679.81) (sims
Kermit	0.131966
Elmo	0.0762549
WR	0.0650971
"Big Bird"	0.0638579
Heredia	0.0610211
Helene	0.0588592
"Julia Child"	0.0586705
Lou	0.0473993
granny	0.0457803
Pooh	0.0451267
Hakeem	0.0444782
"Hristo Stoichkov"	0.0442073
Margolis	0.0441864
"Vanessa Williams"	0.0440633
Checketts	0.0440083
Robby	0.0429428
"Diana Ross"	0.0428374
sid	0.0426028
Hugh	0.0421904
Susannah	0.0414854
Bette	0.0409736
))
(Bertelli (desc 961.444) (sims
Gardiner	0.130654
Wenger	0.105232
Klestil	0.100194
Ruehe	0.0971068
Carollo	0.0919849
Castaneda	0.0884936
Ciampi	0.0883824
Tilberis	0.0880614
Cooley	0.0877038
Montalvo	0.0874443
Reichel	0.0860653
krueger	0.0841562
LVMH	0.0821912
Gallinger	0.0811796
Cleese	0.0763914
Morley	0.0754903
Tsai	0.0752975
Lawler	0.0742755
Esposito	0.0738287
Tarawneh	0.0735669
McLeod	0.0733139
Rabe	0.0730255
Gatling	0.0726833
Hammett	0.0721282
McGuinness	0.0720023
"Cindy McCain"	0.0713382
Wolfson	0.0710729
Sherrill	0.0707261
Applegate	0.0706828
Bizimungu	0.0701245
Lepage	0.0699903
Piggie	0.0685477
Namath	0.0684693
Krasniqi	0.0677579
Modell	0.0675478
Coutts	0.0674006
"Team New Zealand"	0.0672019
Plunkett	0.0670673
Antley	0.0668974
Shurmur	0.0667689
Beye	0.0667291
Grammer	0.0662757
Shatner	0.0659392
Soares	0.0658868
AmericaOne	0.0656044
Reimer	0.0653712
"Washington Mutual"	0.065244
Schreiber	0.0651209
Kasyanov	0.0650395
Romanowski	0.0650371
Bruton	0.0649964
Jaffe	0.064787
Hartman	0.0644407
Yastrzhembsky	0.0637367
Taufik	0.0633927
Silverstein	0.0631768
Postel	0.0631698
Bergeron	0.0631154
Rodionov	0.0629355
Lockwood	0.0628588
"Lee Hsien Loong"	0.0628152
McDuffie	0.0628025
ISSEL	0.062612
Quigley	0.062228
Biden	0.062198
Duran	0.0621954
Leventhal	0.0621724
COYNE	0.0620934
Persson	0.0620711
Abram	0.0620577
Magee	0.062041
Tuiasosopo	0.0618504
Shareh	0.0617637
"Jil Sander"	0.0617361
STARMEDIA	0.0616599
Piot	0.0615358
Autry	0.061522
"John Kennedy Jr."	0.0614356
Gutman	0.0611875
Havelange	0.0611588
Tanaka	0.0610989
Khrushchev	0.0610889
Tierney	0.0610684
nance	0.0610525
Beazley	0.0609063
Demaci	0.0608838
Thayer	0.0606796
Mineta	0.0604791
Britton	0.0604646
Lacroix	0.0601451
Harr	0.0599054
Whitsitt	0.0597725
Kilborn	0.0597147
Devine	0.0594491
Ebbers	0.0593824
Rudman	0.0592327
Goldin	0.0591693
Bullard	0.0591559
Poplasen	0.0590386
Mattingly	0.0589609
Fagan	0.0588582
McCurry	0.0586208
Blackman	0.0585553
"Buster Douglas"	0.0585115
Sarazen	0.0583788
Engelberg	0.0583152
conger	0.0581379
Guei	0.0580891
Gilman	0.0580757
Gilligan	0.0578548
Guidry	0.0578367
Zadornov	0.0577927
Hoddle	0.0575395
Symons	0.0575376
McGarity	0.0574515
Wilhelm	0.0572377
Cleary	0.0572347
Snider	0.057222
Krall	0.057222
Reyna	0.0571909
Tuinei	0.0571567
Monson	0.0571145
Greco	0.0570106
Karpov	0.0568958
Durant	0.0567773
Margolis	0.0567467
Grasso	0.0567211
Brogna	0.0566685
Rais	0.0565325
Vialli	0.0565292
Tsvangirai	0.0564818
Nasrallah	0.0564473
Blanton	0.0563262
Galindo	0.0561099
Rea	0.055985
"Earnhardt Jr."	0.0559004
Pickens	0.0558351
Solis	0.0558131
Villalonga	0.0557847
Marinovich	0.0557763
Radojevic	0.0555191
Penders	0.0554641
Squier	0.0554633
Yoon	0.0554371
Fassett	0.0554096
Inhofe	0.0553997
Ong	0.0553762
Sihanouk	0.055371
Izetbegovic	0.0550724
Maslyukov	0.0550396
Yoakam	0.0549968
Summitt	0.0549826
Wellstone	0.0549687
Collymore	0.0549634
Storin	0.0549265
Gantamirov	0.0549132
Schuerholz	0.0548822
Holzman	0.0548493
Esrey	0.0548423
Greenwald	0.0546361
Valenti	0.0544504
Whitacre	0.0544482
Vasile	0.054437
Benazir	0.0543345
Neilson	0.0543307
"De la Cruz"	0.0543188
Molinari	0.0542819
Gilliam	0.0542213
Stein	0.0541781
Raduyev	0.0539675
"Alex Ferguson"	0.0538748
Jarrell	0.0538502
DeVito	0.0538042
Rothenberg	0.0537599
Alcorn	0.0537425
Stith	0.0536962
Lawson	0.053686
Rifkind	0.0536229
Milutinovic	0.0535898
"Irina Slutskaya"	0.0533218
Suarez	0.0532815
Rankin	0.0532744
"Iranian Foreign Ministry"	0.0531492
Blackmun	0.053116
Kornberg	0.0530872
Lasorda	0.0530464
Mucha	0.0530216
Conner	0.0530183
Soriano	0.0529925
Berasategui	0.0529568
Ritter	0.0529457
Scripps	0.0529409
Keegan	0.052939
McAuliffe	0.052913
Dench	0.0527968
Finkel	0.0527717
Bowles	0.0527205
Boles	0.0526496
Troussier	0.0526371
"Juan Miguel"	0.0525377
))
(Bertelsmann (desc 8070.17) (sims
"Bertelsmann AG"	0.280267
Vivendi	0.22701
"News Corp."	0.211771
Viacom	0.206707
"Viacom Inc."	0.195668
"Time Warner"	0.19234
"Reed Elsevier"	0.181476
"Tribune Co."	0.174074
"Time Warner Inc."	0.172006
AMR	0.16672
Daimler-Benz	0.166225
Mannesmann	0.163576
Cablevision	0.159431
"Seagram Co."	0.159166
EMI	0.15893
"Conde Nast"	0.15096
Unilever	0.150857
"Simon &AMP; Schuster"	0.148497
Siemens	0.147886
"Walt Disney Co."	0.146643
TYCO	0.146028
Pepsico	0.145665
CMGI	0.144155
Seagram	0.144083
"National Grid"	0.142548
"France Telecom"	0.141973
Daimler	0.141583
"Time Inc."	0.14091
BMG	0.140823
GANNETT	0.140629
Novartis	0.140541
"Hearst Corp."	0.140189
"BP Amoco"	0.138031
PolyGram	0.138016
"CBS Corp."	0.137721
"Knight Ridder"	0.136776
ZIFF-DAVIS	0.136538
"Deutsche Bank"	0.136263
"GE Capital"	0.134592
Omnicom	0.134368
"USA Networks"	0.133973
SFX	0.133524
LVMH	0.132175
"Deutsche Telekom"	0.131235
"American International Group"	0.129458
Halliburton	0.129398
"Bell Atlantic"	0.127891
"Telecom Italia"	0.127548
Monsanto	0.127221
Telefonica	0.126873
"Sony Corp."	0.126638
Comcast	0.126339
"UAL Corp."	0.125988
"Vivendi SA"	0.125583
"Random House"	0.125059
SBC	0.12486
Softbank	0.124421
"Siemens AG"	0.124257
Lagardere	0.124044
"General Motors Corp."	0.123892
"MCI WorldCom"	0.123814
UAL	0.123641
"Softbank Corp."	0.123506
AIG	0.123255
"Ford Motor Co."	0.122923
Litton	0.122414
Pearson	0.122315
BASF	0.122251
Texaco	0.122094
AstraZeneca	0.121948
Vodafone	0.121839
DaimlerChrysler	0.121619
"General Electric Co."	0.121454
"Gannett Co."	0.121438
Hasbro	0.120379
Enron	0.120299
"Sprint Corp."	0.120159
"Federated Department Stores"	0.120055
Exxon	0.119935
EMC	0.119582
"Times Mirror"	0.119557
YankeeNets	0.11939
"Aetna Inc."	0.119328
Eni	0.119128
EarthLink	0.118975
Renault	0.118153
GTE	0.11809
Hoechst	0.117892
McKesson	0.117106
TCI	0.116804
Roche	0.11666
"AMR Corp."	0.116517
"Hyundai Group"	0.116351
"New York Times Co."	0.115963
WorldCom	0.115894
universal	0.115448
Citigroup	0.11444
Olivetti	0.114169
"General Electric"	0.114167
Samsung	0.113901
"Volkswagen AG"	0.113737
MCI	0.113661
"Oracle Corp."	0.113485
Aegon	0.113418
"Philip Morris"	0.113174
Disney	0.113144
AXA	0.112845
"Turner Broadcasting"	0.112806
"America Online Inc."	0.112777
Hyundai	0.112435
ING	0.112365
RJR	0.11232
Motorola	0.112158
"Fannie Mae"	0.112139
BellSouth	0.111815
"Y&AMP;R"	0.11169
"Johnson &AMP; Johnson"	0.111583
Publicis	0.110824
Pfizer	0.11043
GEC	0.11031
Totalfina	0.110226
"Merck &AMP; Co."	0.110139
Deutsche	0.109981
Raytheon	0.109752
"Dow Jones &AMP; Co."	0.109588
SmithKline	0.109269
WPP	0.109167
"SBC Communications Inc."	0.109107
Hearst	0.108462
"Tele-Communications Inc."	0.108181
Chrysler	0.107703
HSBC	0.107103
"Barnes &AMP; Noble"	0.107058
"Canal Plus"	0.106961
BankAmerica	0.106949
"Mannesmann AG"	0.106945
Lockheed	0.106832
"WorldCom Inc."	0.106732
Aetna	0.106544
"Berkshire Hathaway"	0.106485
Volkswagen	0.106003
"Enron Corp."	0.105729
UBS	0.105618
CNET	0.105388
"Ford Motor"	0.105325
Bayer	0.105217
Compaq	0.105191
Nortel	0.105156
"De Beers"	0.104941
"Mattel Inc."	0.104907
ABB	0.1048
Fiat	0.104622
Qwest	0.104439
"Microsoft Corp."	0.104411
"British Telecom"	0.104288
IBM	0.103925
"General Motors"	0.103706
Federated	0.103471
Thomson	0.103153
"Cadbury Schweppes"	0.102968
"Times Co."	0.102805
Inktomi	0.102564
"Thermo Electron"	0.102116
"Walt Disney"	0.102081
Cendant	0.102058
"Vodafone AirTouch"	0.101989
Mobil	0.101863
Cisco	0.101479
Aerospatiale	0.101468
NatWest	0.100933
Dupont	0.100856
Tenneco	0.100851
"America Online"	0.100749
Kodak	0.100745
"Hongkong Telecom"	0.100434
Aventis	0.0999753
Media-MOST	0.0999049
Interpublic	0.0998006
Sony	0.0997171
Mattel	0.0996236
Lucent	0.0995347
"British Aerospace"	0.0995038
Sumitomo	0.0994279
YPF	0.0994168
Diageo	0.0993802
"Cendant Corp."	0.0992063
Gazprom	0.0991972
Citicorp	0.0991397
Healtheon	0.0988568
"Bankers Trust"	0.0988364
"Credit Suisse"	0.0986331
"Computer Associates"	0.0985178
Ge	0.0978658
AOL	0.0977855
ARCO	0.0977638
Warner-Lambert	0.0977616
"Halliburton Co."	0.0974763
Ingram	0.0973849
Alcatel	0.0970454
"Sun Microsystems"	0.0967196
))
("Bertelsmann AG" (desc 2517.27) (sims
Bertelsmann	0.280267
"Viacom Inc."	0.278719
"Seagram Co."	0.264954
"Time Warner Inc."	0.251998
"Reed Elsevier"	0.242334
"News Corp."	0.225189
"Siemens AG"	0.211229
"CBS Corp."	0.198516
"Vivendi SA"	0.189562
"American International Group"	0.189026
"Halliburton Co."	0.181035
Vivendi	0.176301
"Hyundai Group"	0.167441
"SBC Communications Inc."	0.166418
"Aetna Inc."	0.162842
"Walt Disney Co."	0.149482
Eni	0.149203
"UBS AG"	0.145536
Omnicom	0.145106
"Hughes Electronics Corp."	0.141811
"Citigroup Inc."	0.141549
"Mannesmann AG"	0.140633
Viacom	0.140328
"Federated Department Stores"	0.139909
"Softbank Corp."	0.13983
"Hearst Corporation"	0.137443
"Gannett Co."	0.130383
Unilever	0.12842
"Time Warner"	0.126193
"Enron Corp."	0.125911
"Mattel Inc."	0.125504
"Merck &AMP; Co."	0.124912
"Bell Atlantic Corp."	0.124573
"New York Times Co."	0.124378
"Monsanto Co."	0.124131
"Vodafone AirTouch"	0.123574
"Tele-Communications Inc."	0.123248
"Tribune Co."	0.123023
"Omnicom Group"	0.122318
"Hearst Corp."	0.121862
"Travelers Group"	0.120727
SFX	0.119785
"Zambia Consolidated Copper Mines"	0.118967
Siemens	0.118548
"Pfizer Inc."	0.118304
"UAL Corp."	0.118076
"Exxon Corp."	0.117754
"Royal Dutch/Shell"	0.117329
"Liberty Media"	0.11595
Publicis	0.11459
Mannesmann	0.113357
"Vodafone Airtouch PLC"	0.112815
"Sony Corp."	0.11264
"General Electric Co."	0.112399
"American Home Products Corp."	0.111655
"Dow Jones &AMP; Co."	0.111405
"Chevron Corp."	0.110464
"Cendant Corp."	0.109493
ZIFF-DAVIS	0.109461
"WorldCom Inc."	0.108703
"USA Networks"	0.10762
GEC	0.107352
Lagardere	0.107139
"Times Mirror Co."	0.10703
Daimler-Benz	0.105949
"Volkswagen AG"	0.105591
"AMR Corp."	0.105315
"Times Co."	0.105229
"Knight Ridder"	0.105109
"Daewoo Group"	0.104721
"Comcast Corp."	0.104658
VEBA	0.104594
Pepsico	0.104554
Novartis	0.104235
"CMGI Inc."	0.103942
"De Beers"	0.103736
Aventis	0.101872
"Deutsche Bank AG"	0.101756
"Cadbury Schweppes"	0.100923
"International Business Machines Corp."	0.100713
"Gap Inc."	0.100552
"Simon &AMP; Schuster"	0.10002
"Chase Manhattan Corp."	0.0998197
"Berkshire Hathaway"	0.098487
"Vanguard Group"	0.098285
China.com	0.0979647
"Yahoo Inc."	0.0979393
BASF	0.0967483
Telefonica	0.0964757
Comcast	0.0960142
Halliburton	0.0957245
YPF	0.0956777
Media-MOST	0.0946082
"Abbott Laboratories"	0.0944005
"EMC Corp."	0.093838
Cablevision	0.0934997
"Sprint Corp."	0.0933783
"Johnson &AMP; Johnson"	0.0926804
"Network Associates"	0.0926534
"National Semiconductor"	0.0922854
"Warner-Lambert Co."	0.0920564
"Lycos Inc."	0.0918456
"Hutchison Whampoa"	0.0916142
"Volvo AB"	0.0914699
"Oracle Corp."	0.0914355
Pearson	0.091357
"Microsoft Corp."	0.0912133
"Symantec Corp."	0.0907923
Citigroup	0.0907804
"Walt Disney"	0.0897679
"General Motors Corp."	0.0891477
WPP	0.0891082
"Pepsico Inc."	0.0887775
"Cisco Systems Inc."	0.0886674
"America Online Inc."	0.0885568
"Gillette Co."	0.0885549
"MediaOne Group"	0.0883628
Lukoil	0.088323
"National Association of Securities Dealers"	0.0879494
Emulex	0.0872991
"Livent Inc."	0.0864194
Enron	0.0864006
Televisa	0.0861252
"General Electric"	0.0860677
Roche	0.0856436
"Lucent Technologies Inc."	0.0856132
Schlumberger	0.0852426
Daewoo	0.0849724
"France Telecom"	0.0848954
"Deutsche Telekom"	0.084637
Seagram	0.084497
"Kraft Foods"	0.0840888
"HSBC Holdings"	0.0834013
"Lockheed Martin Corp."	0.08323
"Levi Strauss &AMP; Co."	0.083008
"RJR Nabisco"	0.0825407
"Philip Morris"	0.0825221
"American Home Products"	0.0825135
Samsung	0.0818241
"Ameritech Corp."	0.0816708
Hoechst	0.0815754
"British Telecommunications"	0.0806455
Exxon	0.0804173
"Bausch &AMP; Lomb"	0.0803982
Hasbro	0.0802795
"Nippon Telegraph"	0.0802732
"Saatchi &AMP; Saatchi"	0.0801679
"MCI WorldCom"	0.080059
"KLM Royal Dutch Airlines"	0.0800104
"Telecom Italia"	0.0793824
"Prudential Insurance Co."	0.0792462
"British Telecom"	0.0791905
PolyGram	0.0791186
"Daimler-Benz AG"	0.0787602
"Daimlerchrysler AG"	0.0787039
AMR	0.0784973
"Sun Microsystems"	0.0781977
HSBC	0.0780134
"Ford Motor Co."	0.0780119
"Raytheon Co."	0.0779445
AXA	0.0777664
Interpublic	0.0777426
"Ford Motor Company"	0.0773621
Totalfina	0.077247
Healtheon/WebMD	0.0771673
"Cisco Systems"	0.0769911
BBDO	0.0768695
"Deutsche Bank"	0.0767947
Hyundai	0.0767539
Primedia	0.076675
"Koch Industries"	0.0765802
"HBO &AMP; Co."	0.0763453
"SBC Communications"	0.0762982
Nestle	0.0762118
Softbank	0.0760365
"BP Amoco"	0.0760322
"BellSouth Corp."	0.0759959
"Pharmacia &AMP; Upjohn"	0.075573
Monsanto	0.0755108
"Credit Suisse"	0.0752407
"General Motors"	0.0748242
Aegon	0.0746231
TCI	0.0745901
"GE Capital"	0.0743016
"Sun Microsystems Inc."	0.0742919
"BankAmerica Corp."	0.0740942
Daimler-Chrysler	0.0739651
YankeeNets	0.0739531
"MindSpring Enterprises"	0.0739265
"Fannie Mae"	0.0739258
ABB	0.0734464
McCann-Erickson	0.0734398
Philips	0.0733517
"Motorola Inc."	0.0731414
Healtheon	0.0729971
Pfizer	0.0727715
CNET	0.0724415
"Hitachi Ltd."	0.0723053
MCI	0.072252
"Lockheed Martin"	0.07225
))
(berth (desc 53301.7) (sims
medal	0.149758
title	0.147485
spot	0.143922
championship	0.123115
victory	0.120892
pennant	0.116229
wharf	0.109331
crown	0.107338
final	0.106571
playoff	0.105874
semifinal	0.105239
slot	0.102842
trophy	0.100464
gold	0.099187
quarterfinal	0.0983934
bronze	0.0919473
"Stanley Cup"	0.090883
match	0.0897983
tournament	0.0854683
team	0.0853442
game	0.0848513
record	0.0847305
qualifier	0.0846637
finish	0.084494
round	0.0840259
"playoff game"	0.0827568
"winning streak"	0.0815623
eighth	0.0807834
ranking	0.0798279
"prize money"	0.0792772
sweep	0.0786366
appearance	0.078063
prize	0.0776026
nomination	0.0772206
matchup	0.0771425
matches	0.0760962
finisher	0.0757141
dock	0.0745764
"Super Bowl"	0.0743135
shutout	0.0729619
winner	0.0723583
"most valuable player"	0.0719561
triumph	0.0714611
defeat	0.0708534
bye	0.0700247
four	0.0699518
seed	0.0690066
runner-up	0.0687386
ticket	0.0686866
goal	0.0683445
champion	0.0680931
runners-up	0.0679629
postseason	0.067743
"seeded player"	0.0672404
standing	0.0666446
eight	0.0660914
"world record"	0.0660193
finalist	0.0659559
"World Series"	0.0658892
"Cy Young Award"	0.0657455
seedings	0.0654861
"road game"	0.064848
straight	0.0648468
card	0.064765
terminal	0.0647267
fourth	0.0641924
"Super Bowls"	0.0641114
sixth	0.0641096
doubles	0.0640816
third	0.0639656
award	0.0637104
tiebreaker	0.063614
MVP	0.0630838
"triple crown"	0.0629961
overall	0.0626375
seat	0.0622702
medalist	0.0620373
no-decision	0.0617412
"cup final"	0.0616004
opener	0.0615558
honor	0.0615502
rematch	0.0612422
"grand slam"	0.0611723
fifth	0.0610917
comeback	0.0610813
chance	0.0608411
showdown	0.0604823
matchups	0.0603079
"World Cup"	0.0600646
semifinalist	0.0599963
Olympics	0.0596248
squad	0.0595353
loss	0.0594524
entry	0.0591678
scorer	0.0590287
seventh	0.0589926
event	0.0588177
competition	0.0584448
cup	0.0584052
entrant	0.05829
silver	0.0578525
hat-trick	0.0574813
"No. @"	0.057213
"first time"	0.0571552
outing	0.0571153
streak	0.056799
sellout	0.0567272
port	0.0565775
"Sweet @@"	0.056462
knockout	0.0564352
"losing streak"	0.0562041
contender	0.0561961
"home game"	0.0561098
qualification	0.0560449
"third time"	0.0560363
bid	0.0554241
touchdown	0.0553791
contention	0.0552323
"three points"	0.0549609
jackpot	0.0548513
"first appearance"	0.0547817
top-@@	0.0547317
advantage	0.0546201
supremacy	0.0546169
roster	0.0545126
"Lindsay Davenport"	0.0544534
"field goal"	0.0539786
ninth	0.0534883
inning	0.0532977
glory	0.0532504
"medal winner"	0.0530938
payday	0.0529728
"Olympic Games"	0.0529714
facility	0.0526835
"Venus Williams"	0.0525557
success	0.0525242
debut	0.0524886
starter	0.0522412
"six points"	0.0521167
elimination	0.0519056
Five	0.0518289
Hingis	0.0513515
playing	0.0512834
no-hitter	0.0509883
"sixth time"	0.0507223
vessel	0.0506683
"home run"	0.0503525
"second time"	0.0502738
selection	0.0502704
Six	0.0497024
dominance	0.0496787
swimmer	0.0496686
All-Americans	0.0496443
bonus	0.049616
exit	0.049567
"fifth time"	0.0494846
"match point"	0.0494151
strikeout	0.0492421
"power plant"	0.0490609
Sampras	0.0489676
warm-up	0.0489609
winning	0.0489486
athlete	0.0487634
venue	0.0486671
seven	0.0484496
pairing	0.0483703
Wimbledon	0.0482214
hopefuls	0.0482056
governorship	0.0479681
"Fiesta Bowl"	0.0477984
"Rose Bowl"	0.0477436
at-bat	0.0476613
"Game @"	0.0475615
interception	0.0473842
medallist	0.0473751
"power station"	0.0473425
opponent	0.0472316
wicket	0.0472175
marathon	0.0471501
"Heisman Trophy"	0.0471071
expressway	0.0470841
purse	0.0470821
survival	0.0469837
"Sydney Olympics"	0.0466119
favorite	0.0465404
feat	0.0465198
ace	0.046295
showing	0.0462684
birdie	0.0462452
"Stanley Cups"	0.0461296
"Marcelo Rios"	0.0461185
membership	0.0460871
relay	0.0459492
"Amanda Coetzer"	0.0458726
UConn	0.0457556
"Goran Ivanisevic"	0.0456135
franchise	0.0455967
Heisman	0.0455
"Andre Agassi"	0.0452317
m	0.0452309
))
(Bertha (desc 1827.27) (sims
Fran	0.111109
Bonnie	0.109855
Danielle	0.0809454
Georges	0.0752599
Clyde	0.0750245
"Hurricane Hugo"	0.0725383
Manners	0.0713233
Congeniality	0.0699163
piggy	0.0689332
Cooley	0.067888
Bloch	0.0648246
Dennis	0.0641279
Hugo	0.0627578
Camille	0.0625407
Osmond	0.0624085
Roque	0.0623051
Sally	0.0611021
Grossberg	0.0606426
Rosales	0.0601266
Lois	0.0587719
hailstone	0.0569362
Nicky	0.0568381
Dench	0.056493
nunnery	0.0564285
Brawley	0.0555069
McCarty	0.0553751
Dee	0.0546496
"Hurricane Bret"	0.0545266
Aw	0.0544661
Sills	0.0539521
Floyd	0.0537714
Rains	0.0530389
Bacall	0.0521598
Typhoon	0.0512528
Zeb	0.0505625
"Arturs Irbe"	0.050482
Fonda	0.0503537
"US House"	0.0495624
Celia	0.0494131
Moxley	0.0492798
"Jesse Owens"	0.0487966
"blind man"	0.0477126
temblor	0.0463336
"Hurricane Mitch"	0.0444076
"Hurricane Andrew"	0.0442989
Marilyn	0.0442749
Cesar	0.043933
Maria	0.0438896
Mitch	0.0431778
Babs	0.0428533
Millie	0.0428298
Godot	0.0426271
"cold spell"	0.0420151
"Hurricane Georges"	0.041976
thespian	0.0419695
"hue and cry"	0.0417118
Pauline	0.0416771
romano	0.041613
Bret	0.0413026
"bank failure"	0.041224
Betsy	0.0410435
"ocean current"	0.0409111
Sidney	0.0405029
"meteor shower"	0.0403639
antihero	0.0401813
"Rajiv Gandhi"	0.0401772
))
("Bertie Ahern" (desc 6057.1) (sims
Ahern	0.296024
"John Bruton"	0.285219
"Jose Maria Aznar"	0.245946
"Romano Prodi"	0.235915
"Valery Pustovoitenko"	0.220532
"Ivan Kostov"	0.217271
"Lionel Jospin"	0.217014
"Radu Vasile"	0.215017
"Jacques Chirac"	0.20929
"Bashkim Fino"	0.207716
"Antonio Guterres"	0.207005
"Paavo Lipponen"	0.204055
"Ismail Cem"	0.201053
"Vo Van Kiet"	0.20059
"Goran Persson"	0.197704
"Kamal Kharrazi"	0.197125
"Lamberto Dini"	0.195804
"Frederick Sumaye"	0.195653
"Goh Chok Tong"	0.193657
"Igor Ivanov"	0.192671
"Jerzy Buzek"	0.192042
"Jean Chretien"	0.191405
"John Major"	0.19101
"Gerry Adams"	0.190689
Cherie	0.188804
"Mikulas Dzurinda"	0.186727
"Costas Simitis"	0.186309
"Chuan Leekpai"	0.18515
"Mesut Yilmaz"	0.183431
"Phan Van Khai"	0.182681
"Rafik Hariri"	0.178391
"George Robertson"	0.17773
"Bulent Ecevit"	0.176997
"Wim Kok"	0.176781
"Atal Behari Vajpayee"	0.174631
"Yevgeny Primakov"	0.174607
"Vaclav Klaus"	0.174074
"Atef Obeid"	0.173978
"Pascoal Mocumbi"	0.173409
"Inder Kumar Gujral"	0.172649
"Jenny Shipley"	0.172518
"Zhu Rongji"	0.167345
"Tony Blair"	0.167291
"Tang Jiaxuan"	0.167259
"John Prescott"	0.166268
"Jordanian King Abdullah Bin Hussein"	0.166257
"John Howard"	0.166221
"Sergei Stepashin"	0.165921
"Wlodzimierz Cimoszewicz"	0.165721
"Fatos Nano"	0.165228
"Yoshiro Mori"	0.16486
"Milos Zeman"	0.16368
"Igor Sergeyev"	0.163595
"Pandeli Majko"	0.161418
"Chavalit Yongchaiyudh"	0.161375
"Meles Zenawi"	0.160003
"Ryutaro Hashimoto"	0.159066
"Qian Qichen"	0.158324
"Salim Hoss"	0.157746
"Tansu Ciller"	0.157351
"Atal Bihari Vajpayee"	0.155592
"Viktor Chernomyrdin"	0.155462
"David Trimble"	0.154667
"Keizo Obuchi"	0.154384
al-Sahhaf	0.153151
"Amr Moussa"	0.152586
"Ung Huot"	0.151911
"Sergei Kiriyenko"	0.151804
"I.K Gujral"	0.15145
"Robin Cook"	0.150853
"Abdullah Ahmad Badawi"	0.149549
"Necmettin Erbakan"	0.149284
"Victor Chernomyrdin"	0.148954
"Benazir Bhutto"	0.14721
"David Levy"	0.14689
"John Hume"	0.146249
"Viktor Orban"	0.146096
"King Abdullah II"	0.145841
"William Cohen"	0.144445
"Yossi Sarid"	0.144106
el-Ganzouri	0.143073
"Girija Prasad Koirala"	0.142657
"Vladimir Putin"	0.142595
Meles	0.142316
"Sheikh Hasina"	0.141282
Dehaene	0.140798
al-Hariri	0.140221
Pangalos	0.140056
"Alain Juppe"	0.139705
"Abdul Karim Kabariti"	0.13953
"Binyamin Netanyahu"	0.139342
"Milorad Dodik"	0.139156
Chretien	0.139121
"Klaus Kinkel"	0.137999
"Mikhail Kasyanov"	0.135214
"Deve Gowda"	0.134798
"Tariq Aziz"	0.132861
"Fernando Henrique Cardoso"	0.131848
al-Khatib	0.131804
"Shimon Peres"	0.131742
"Yuri Maslyukov"	0.131159
"Seamus Mallon"	0.130705
"Yitzhak Mordechai"	0.130361
Ecevit	0.129727
al-Sharaa	0.128833
Komura	0.128636
"Than Shwe"	0.12857
Hasina	0.128433
"H.D Deve Gowda"	0.128119
"Jaswant Singh"	0.127368
"Martti Ahtisaari"	0.127363
"Hubert Vedrine"	0.126686
"Nawaz Sharif"	0.125818
Aznar	0.125287
"Ernesto Zedillo"	0.125028
Ivanov	0.123875
Kharrazi	0.123532
Dini	0.123305
Kuchma	0.123234
"Boris Nemtsov"	0.123072
"Mahathir Mohamad"	0.123035
"Paul Keating"	0.122979
Blair	0.122948
Chirac	0.122589
"Javier Solana"	0.121863
"Lokendra Bahadur Chand"	0.121775
Sergeyev	0.121543
Scalfaro	0.121186
"Sartaj Aziz"	0.120171
"Vojislav Seselj"	0.12001
Simitis	0.119946
Klima	0.119429
Al-Sabah	0.119412
Jospin	0.119002
Camdessus	0.118826
Barshefsky	0.118128
"Momir Bulatovic"	0.118059
Alatas	0.117898
Kavan	0.117459
"Secretary General Esmat Abdel-Meguid"	0.116893
"Massimo D'Alema"	0.116773
"Yasser Abed Rabbo"	0.11669
"Bill Skate"	0.116153
"Vuk Draskovic"	0.115931
"Li Peng"	0.115738
"Ehud Barak"	0.115722
"Lee Kuan Yew"	0.115216
"Wang Daohan"	0.115123
Phieu	0.114999
"Chi Haotian"	0.114732
Chiluba	0.11444
Goh	0.114378
"Yasser Arafat"	0.114191
Qian	0.114167
"Joschka Fischer"	0.114074
Moi	0.113994
al-Shara	0.113902
Chuan	0.11381
"William Perry"	0.113771
Juncker	0.113766
Nazarbayev	0.113488
Deuba	0.113481
Trimble	0.112962
"Carlos Menem"	0.112855
"Helen Clark"	0.112825
"Margaret Thatcher"	0.112756
Jayakumar	0.112655
Vedrine	0.112447
"Natan Sharansky"	0.112275
Menem	0.112239
Solana	0.112186
Ahtisaari	0.112048
Santer	0.111807
Talbott	0.111778
"Saeb Erekat"	0.111408
"Benjamin Netanyahu"	0.111302
"Minister Shlomo Ben-Ami"	0.110352
"Sher Bahadur Deuba"	0.10995
"President Kim Dae-jung"	0.109408
Boueiz	0.109136
"Prince Saud Al-Faisal"	0.109125
"Ricardo Alarcon"	0.108966
Aziz	0.108923
"Gulbuddin Hekmatyar"	0.108897
"Kim Yong Nam"	0.108743
Kinkel	0.108667
Moussa	0.108621
"Supachai Panitchpakdi"	0.10821
Primakov	0.108068
"Martin McGuinness"	0.108003
Al-Faisal	0.107882
"Koo Chen-fu"	0.107877
Denktash	0.107868
Khaddam	0.107795
Lipponen	0.10775
"Gro Harlem Brundtland"	0.10771
"Ariel Sharon"	0.107653
Zhu	0.106657
al-Sahaf	0.106378
Vajpayee	0.106151
Shipley	0.106096
"Leon Brittan"	0.105826
"Hun Sen"	0.105716
"deputy foreign minister"	0.105694
"Fayez Tarawneh"	0.105676
Museveni	0.105655
"Kiichi Miyazawa"	0.105606
Chavalit	0.105321
D'Alema	0.104949
"Begum Khaleda Zia"	0.104392
"labor leader"	0.104352
Hashimoto	0.104313
"Hosni Mubarak"	0.104252
Wiranto	0.103894
"Jordanian King Hussein"	0.10352
Gujral	0.102985
Clerides	0.102872
Mkapa	0.102716
al-Bashir	0.102542
Kwasniewski	0.102499
"Michael Portillo"	0.102354
Ogata	0.102327
"Tim Fischer"	0.102015
Gaddafi	0.101444
"Chief Executive Tung Chee-hwa"	0.101327
"Prime Minister Kamal El-Ganzouri"	0.10116
Banharn	0.101026
"Vladimir Meciar"	0.100979
"Sonia O'Sullivan"	0.100933
"Suleyman Demirel"	0.100475
))
("Bertrand Piccard" (desc 2224.6) (sims
Piccard	0.181465
"Richard Branson"	0.129304
"Steve Fossett"	0.121
"UBS AG"	0.120917
"Michael Von Gruenigen"	0.107598
"Brian Jones"	0.0818613
"Hannibal Lecter"	0.077617
"Roger Federer"	0.0773339
"Alex Zulle"	0.0771838
balloonist	0.0767868
Fossett	0.0753855
"Alex Zuelle"	0.0753274
"Marc Hodler"	0.0717643
"Richard Ashby"	0.0691174
"Linford Christie"	0.0636586
"Marc Rosset"	0.0627051
"Eileen Collins"	0.0609466
UBS	0.0598131
circumnavigation	0.0560924
Pearce	0.0560369
Uliassi	0.0556163
"Laura Davies"	0.0555189
Novartis	0.0554386
"Federal Council"	0.0553536
Consul-General	0.0550713
"Richard Burns"	0.0544443
"Patty Schnyder"	0.0531579
Titov	0.0527326
Mabetex	0.0508811
"Emilio Bombay"	0.0485491
Walser	0.047973
"Laura Schlessinger"	0.0476814
Jobe	0.0474521
"Tim Henman"	0.0471338
ABB	0.0470916
Sykes	0.0466389
quintessence	0.0459042
"Queen Elizabeth"	0.0450499
Peca	0.0438206
Brundtland	0.043719
Shackleton	0.0436653
Lindner	0.0427888
Weil	0.0421239
Gachet	0.0420954
"Union Jack"	0.0419409
Hannibal	0.0416647
Machado	0.0415458
Zoloft	0.0410854
Yzerman	0.0409359
J.	0.0409183
"Federal Assembly"	0.0408993
Castaneda	0.040888
"Colin McRae"	0.0403937
Larch	0.0403672
))
(beryllium (desc 1949.44) (sims
arsenic	0.134695
asbestos	0.133369
uranium	0.132466
PCBs	0.106115
plutonium	0.103759
cadmium	0.100354
dioxin	0.0978746
vermiculite	0.0940723
benzene	0.091047
Burnt	0.0896349
PCB	0.0882003
titanium	0.0880589
radioactivity	0.087519
Radon	0.0844961
gallbladder	0.0817157
chromium	0.081581
chloride	0.0808243
pesticide	0.0795924
talc	0.0761848
STD	0.0743215
cyanide	0.0739427
anthrax	0.0729199
capsaicin	0.0725164
pixie	0.0714121
toxin	0.0704527
Chemo	0.0679544
MTBE	0.0669608
LNG	0.0642961
"nerve gas"	0.063828
tritium	0.063458
reflux	0.0609242
allergen	0.0607096
sickle	0.0606997
aluminum	0.0602838
"speeding ticket"	0.0596626
dopamine	0.0586746
"connective tissue"	0.0586571
herbicide	0.0584618
chlorine	0.0584118
biogas	0.0581597
"nitrous oxide"	0.0575726
bacillus	0.0570857
sulfur	0.0570665
UV	0.0554202
ebola	0.0553734
"carbon monoxide"	0.0551323
mica	0.0551168
"chemical warfare"	0.0550936
insulin	0.0548933
"coronary artery"	0.0546732
ozone	0.0545548
Zonolite	0.053768
Gypsum	0.0533496
prostate	0.053217
leprosy	0.0531523
"blood sugar"	0.0530414
ore	0.0530222
TCM	0.0524459
"lead poisoning"	0.0522325
"eminent domain"	0.0520129
ephedrine	0.0517522
"nuclear energy"	0.0515161
Dengue	0.0514947
magnesium	0.051341
dioxins	0.0512768
DDT	0.0511611
silicon	0.0509926
hGH	0.0509773
"free radical"	0.0504378
LDL	0.0504287
ADHD	0.0501754
"gas turbine"	0.049854
silica	0.0494702
Lyme	0.0494084
"Microsoft Office"	0.0491459
gallstone	0.048912
nitrogen	0.0478376
"Trojan Horse"	0.047755
"metric ton"	0.0476442
CJD	0.0472381
"palm oil"	0.047055
tungsten	0.0470368
bitumen	0.0466322
methanol	0.0463824
Tylenol	0.0462366
testosterone	0.0461947
hepatitis	0.0461624
als	0.0461445
iodine	0.0458527
latex	0.0457785
"specialty chemical"	0.0457119
Propulsid	0.0456854
estrogen	0.0456588
"diesel engine"	0.0454943
hydrocarbon	0.0454146
"optical fiber"	0.0452619
tremolite	0.0452403
"carbon dioxide"	0.045147
"money order"	0.0449213
folate	0.0447005
cobalt	0.0444715
angiostatin	0.0440926
"ground beef"	0.0437645
drywall	0.0436131
hemoglobin	0.0434233
"radio frequency"	0.0431058
melatonin	0.0429998
starch	0.0428647
"raw data"	0.0426469
lithium	0.0424935
"loan application"	0.0423795
"electric power"	0.0422127
Norplant	0.0422022
mammography	0.0421377
overexposure	0.0420587
coli	0.0420147
homocysteine	0.0418181
canker	0.0413091
"jet engine"	0.0410891
thalidomide	0.0407807
wasting	0.0407652
"Cliffs Notes"	0.0406158
"toxic waste"	0.0404863
"liquefied natural gas"	0.0404541
Sleepwalking	0.0404199
sheepskin	0.0402573
Fen-Phen	0.0402075
ammonia	0.0401877
phosphorus	0.0401743
RealPlayer	0.0401653
glaucoma	0.0400316
diarrhoea	0.0400267
))
(Besiktas (desc 1895.04) (sims
Fenerbahce	0.324902
Brondby	0.262117
Galatasaray	0.23802
Anderlecht	0.215012
"Athletic Bilbao"	0.213254
"Celta Vigo"	0.210095
"Deportivo Coruna"	0.198512
"VfB Stuttgart"	0.190638
"Schalke @@"	0.190449
"Velez Sarsfield"	0.189984
Kaiserslautern	0.186985
Zamalek	0.186813
Panathinaikos	0.183438
Penarol	0.182056
Bastia	0.177732
"Olympique Marseille"	0.176748
Independiente	0.176486
"Shanghai Shenhua"	0.175545
"Coventry City"	0.173461
"Leicester City"	0.171192
Metz	0.170394
"AEK Athens"	0.169551
"Hertha Berlin"	0.16903
"Colo Colo"	0.168851
Benfica	0.168352
Nacional	0.166211
"Olympiakos Piraeus"	0.165388
"Slavia Prague"	0.164198
"Partizan Belgrade"	0.163029
Auxerre	0.162048
"Hernan Gumy"	0.161155
Torino	0.159904
Gremio	0.159786
"Leeds United"	0.159413
Espanyol	0.158369
Olympiakos	0.15818
"Newcastle United"	0.157552
"PSV Eindhoven"	0.157502
Necaxa	0.157462
"Blackburn Rovers"	0.156598
"Atletico Madrid"	0.155223
Atalanta	0.15446
"Derby County"	0.153991
Schalke	0.153127
Lecce	0.152963
Heerenveen	0.152169
"Real Sociedad"	0.151333
Feyenoord	0.150403
Udinese	0.149717
"Adrian Voinea"	0.149713
"Paola Suarez"	0.149131
Estudiantes	0.148547
"Bradford City"	0.147102
"Bayer Leverkusen"	0.146894
"Boca Juniors"	0.146506
"River Plate"	0.144919
Rosenborg	0.144202
Obilic	0.143767
"Red Star"	0.143069
"Borussia Moenchengladbach"	0.142046
Valladolid	0.139664
"Glasgow Rangers"	0.13878
"Albert Portas"	0.138581
Piacenza	0.13847
Palmeiras	0.138294
"Jubilo Iwata"	0.138153
"Werder Bremen"	0.138034
"Rainer Schuttler"	0.136663
"VfL Wolfsburg"	0.136206
"Nottingham Forest"	0.135719
"Guangzhou Apollo"	0.135562
"Joannette Kruger"	0.135552
"Mariano Zabaleta"	0.135281
"Sturm Graz"	0.135208
Watford	0.134982
Porto	0.134753
"Borussia Dortmund"	0.134244
Cruzeiro	0.133417
"Tottenham Hotspur"	0.13336
"Nicole Pratt"	0.132785
corinthian	0.131268
"Spartak Moscow"	0.130859
"Gianluca Pozzi"	0.130687
Cagliari	0.129746
Salernitana	0.129277
Sevilla	0.128615
"San Lorenzo"	0.128321
"Real Betis"	0.128112
"Barbara Schwartz"	0.127899
"Sarah Pitkowski"	0.127679
"Nathalie Dechy"	0.12744
Everton	0.12729
"Kenneth Carlsen"	0.127174
Flamengo	0.126502
"Renzo Furlan"	0.125778
Fiorentina	0.125378
"Crystal Palace"	0.125345
"Florencia Labat"	0.125214
"Chinese Army"	0.124874
"Silvia Farina"	0.124761
Venezia	0.124695
Olimpia	0.124655
"Paris St Germain"	0.124137
"Richard Fromberg"	0.123968
Parma	0.123313
"Arnaud Di Pasquale"	0.123103
"Galo Blanco"	0.123043
"Dalian Wanda"	0.122519
"Tatiana Panova"	0.12179
"Sichuan Quanxing"	0.12167
"Magdalena Maleeva"	0.121119
Tenerife	0.120444
"Sargis Sargsian"	0.120333
"Jinan Taishan"	0.119829
"Kinder Bologna"	0.119137
"Qingdao Hainiu"	0.117871
"AC Milan"	0.11786
"Franco Squillari"	0.117802
Hongyuan	0.117654
"Andreas Vinciguerra"	0.117163
"Catalina Cristea"	0.117151
Leverkusen	0.116859
Atletico	0.115937
"Anne Kremer"	0.115553
"Javier Sanchez"	0.115432
"Ruxandra Dragomir"	0.114768
"Jerome Golmard"	0.114723
"Magui Serna"	0.11427
"Guy Forget"	0.114043
Shenhua	0.113749
"FC Porto"	0.113552
"Asa Carlsson"	0.113419
"Leander Paes"	0.113079
Mallorca	0.112821
"Dynamo Kiev"	0.112161
Schett	0.111975
"Ajax Amsterdam"	0.111508
"Elena Likhovtseva"	0.111489
Habsudova	0.111143
"Amy Frazier"	0.110959
"Fernando Meligeni"	0.110809
"Christian Ruud"	0.110765
"Karim Alami"	0.110611
Betis	0.110202
"Naoko Sawamatsu"	0.11001
Dosedel	0.109957
"Younes El Aynaoui"	0.109562
Celta	0.109529
"Bayern Munich"	0.108867
"Sebastien Grosjean"	0.108478
"Aston Villa"	0.10841
Bayern	0.108254
"Judith Wiesner"	0.108106
"West Ham United"	0.108096
Gama	0.107926
"Hicham Arazi"	0.107649
"Xavier Malisse"	0.107631
"Guillaume Raoux"	0.10757
"Tommy Haas"	0.107371
Rennes	0.106133
"Scott Draper"	0.105898
"Real Madrid"	0.105557
Spartak	0.105466
Valencia	0.105391
Sampdoria	0.104842
Damm	0.104767
"Neville Godwin"	0.104517
"Sjeng Schalken"	0.104274
"Nicolas Escude"	0.103823
Middlesbrough	0.103686
"Wayne Black"	0.103555
"Marcos Ondruska"	0.10349
"Sabine Appelmans"	0.103194
"Roger Federer"	0.103191
Fulham	0.102809
Montpellier	0.102769
Liverpool	0.102341
Napoli	0.102118
"Brett Steven"	0.102078
"Tara Snyder"	0.101624
"Sebastien Lareau"	0.101578
"Manchester United"	0.101407
"Fabrice Santoro"	0.101075
Vitoria	0.100983
"Vincent Spadea"	0.100903
"Arnaud Clement"	0.100791
"MaliVai Washington"	0.100771
Tarango	0.100565
"Steve Campbell"	0.100466
"Henrieta Nagyova"	0.100412
"Albert Costa"	0.100322
"Andrei Pavel"	0.100194
"Jonathan Stark"	0.0999714
Ajax	0.0998153
"Els Callens"	0.0998091
Perugia	0.0997454
"Andrei Medvedev"	0.0994556
"Mariano Puerta"	0.099392
"Alberto Costa"	0.0993658
"Marcelo Filippini"	0.0993303
))
(Bess (desc 2204.04) (sims
Mimi	0.058218
Margaret	0.0557258
"St. Maarten"	0.0548681
"Carmen Electra"	0.054336
"Azizah Ismail"	0.0540496
"Star-Spangled Banner"	0.0534384
Catherine	0.0533352
Winnie	0.0531888
"Barbara Bush"	0.0531318
Sara	0.0529214
Anne	0.0519062
Noor	0.0514486
Isolde	0.0507287
Salome	0.0505543
capella	0.0502081
"Charlie Brown"	0.0499442
Carolyn	0.0498417
alicia	0.0497205
Marchand	0.0496334
songbook	0.0494152
Maude	0.0493999
cappella	0.0493394
Laurie	0.0492587
Cathy	0.048989
Beverly	0.0487784
Erica	0.0485112
Dracula	0.0479865
Paxon	0.0478203
Sylvia	0.0474849
Edith	0.0474266
"Amazing Grace"	0.0469905
Trujillo	0.0466106
"Graca Machel"	0.0464702
Camille	0.0464672
Blanche	0.0462891
Lullaby	0.0462639
Leah	0.0459865
Tosca	0.0459728
Teresa	0.0459537
imp	0.0450675
Eileen	0.0448798
Harold	0.0444438
Babs	0.0444343
Hurley	0.0443964
BMG	0.0442444
"Earl Spencer"	0.0440483
Lynne	0.043947
Lizzie	0.0439019
Bassett	0.0438644
Barbara	0.043784
"Joe Camel"	0.0436574
"Eleanor Roosevelt"	0.0435174
Cindy	0.0434909
Michele	0.0434609
Grinch	0.0431574
Hildegard	0.0430266
Aida	0.0429626
lass	0.0428788
RuPaul	0.0428569
Esther	0.0428123
Presley	0.0427419
Oedipus	0.0426665
Mona	0.0425625
Abe	0.0425422
Terri	0.0425086
Pauline	0.0424961
Ellington	0.0424743
Faust	0.0424623
Betty	0.0423206
"Vanessa Williams"	0.0422123
Adrian	0.0419971
patsy	0.0419311
Baez	0.0418698
Tracey	0.0418441
Hannah	0.0418258
Carol	0.0418077
bock	0.0417943
Cepeda	0.041794
Dorothy	0.0416976
"Dee Dee"	0.041638
"Carolyn Bessette Kennedy"	0.0415859
Gores	0.041568
bauhinia	0.0414507
Handel	0.0413905
bolero	0.0412387
Ince	0.0411781
Lucia	0.0411755
Connie	0.0409797
Elaine	0.0407912
Pam	0.0407837
Lois	0.0406979
Maria	0.0405174
"police captain"	0.0403577
"quantum theory"	0.0403239
Beatrice	0.0402537
"Jackson State"	0.0402039
Maureen	0.0401706
Scandinavian	0.0401435
Martha	0.0401068
))
(Bessette (desc 1190.27) (sims
"Lauren Bessette"	0.130093
Wiggins	0.129155
Mucha	0.124736
Ingalls	0.122925
lauder	0.114494
Webdale	0.111671
Baez	0.110067
McCormack	0.109725
pressman	0.109616
Yoon	0.106039
"Irish Catholic"	0.104786
Kurth	0.101349
Mott	0.100732
Fahey	0.0995499
Fiorina	0.0976641
Ricart	0.0970228
FitzPatrick	0.0950287
Rothschild	0.0947851
"Carolyn Bessette Kennedy"	0.0945892
Deneuve	0.0940482
Gonzales	0.0924888
Meehan	0.0911205
Cornelius	0.0902353
Cline	0.0899766
Rupert	0.0889383
Neal	0.0887557
Simons	0.0883332
Cruz	0.0878554
Briscoe	0.0872978
Binion	0.0871172
Tilberis	0.086636
Wasserstein	0.0850479
Grimes	0.0849494
Menchu	0.084281
Morley	0.0842693
"Parker Bowles"	0.0840228
Duvalier	0.0837367
Marks	0.0835631
Newhouse	0.0831578
Mortimer	0.0829203
Sykes	0.0827733
Zapruder	0.0823844
Curley	0.0821422
Pape	0.081904
sorority	0.0814269
Gotti	0.0808281
Knapp	0.0807212
Watkins	0.0799058
"JFK Jr."	0.0794436
bock	0.0792114
Seymour	0.0788813
Soong	0.0788596
Phelps	0.0787988
al-Saud	0.0786991
Stahl	0.0779772
Rhonda	0.0779579
Stephens	0.0775201
McGreevey	0.0770377
Nasrin	0.0770233
Preston	0.0765392
Goodman	0.0763705
Korean-American	0.0759635
Jeffers	0.0756936
Brazile	0.0749117
Janssen	0.0748653
Meissner	0.0743801
Huston	0.0741036
Pena	0.0740198
Mathews	0.073909
Sheehy	0.0738715
Flores	0.0735081
Nivel	0.0734497
Riady	0.0733658
Oliveira	0.073035
Bonanno	0.0730042
Italian-American	0.0728879
"Orthodox Jewish"	0.0727711
Brawley	0.0727182
Jensen	0.0727176
Mendez	0.0725206
Grunwald	0.0725026
Kingsley	0.0721861
Richards	0.072165
Redgrave	0.0720638
Bingham	0.0719666
Phyllis	0.0719259
Lazarus	0.0718847
Slatkin	0.0718281
Kagalovsky	0.0716006
Marchand	0.0712524
Baum	0.071111
O'Sullivan	0.0707855
Streisand	0.0707754
Rosenberg	0.0707382
Merritt	0.0707118
Dolan	0.070694
O'Hara	0.0704817
Abram	0.0703756
Weis	0.0703451
Cleary	0.0703303
Haines	0.0703
Chukwu	0.0702624
Orton	0.0700826
Holzman	0.0700684
Salinas	0.0699914
Hartman	0.0699729
Byers	0.0698252
O'Connor's	0.0698213
Bentley	0.0697858
Couric	0.0697139
Sills	0.0696809
Dorismond	0.0695924
Meyers	0.0695833
Hickman	0.0695748
Salinger	0.0694657
O'Connor	0.0694639
Keenan	0.0694466
Farley	0.0693886
Arron	0.0693248
Presley	0.0692884
Upshaw	0.0691528
Mapes	0.0690741
Maynard	0.0689275
Kusama	0.0687071
Patton	0.0685944
Maasai	0.0683679
Egan	0.0681521
Barad	0.0681151
Dowd	0.0680196
Garvey	0.0679246
Seligman	0.0677493
Akers	0.0676652
krueger	0.0673539
joiner	0.0673263
Fendi	0.0673166
Lockwood	0.067161
Rockefeller	0.067131
Healy	0.0669759
Jung	0.0668866
Huffington	0.0666277
Bidwill	0.0661739
Trevi	0.0660776
Starovoitova	0.0660564
Elias	0.0660552
Hanna	0.0660502
Britton	0.065932
O'Malley	0.0657391
Townsend	0.0657262
Swanson	0.0656079
"Patsy Ramsey"	0.065419
Fay	0.0652148
Shriver	0.0651759
Versace	0.0650966
Sims	0.0649734
Reiter	0.0648763
"La Guardia"	0.064732
COYNE	0.0646078
Hess	0.0645993
Bisek	0.0645178
Greco	0.0644706
Gaston	0.0644104
Horne	0.0643711
Berenson	0.0641797
Erving	0.0639163
Barnett	0.0638482
Flockhart	0.0637286
Santos	0.0636429
McCartney	0.063604
Muir	0.0632214
"about five"	0.063128
Grossberg	0.063125
Grasso	0.0630595
Rowley	0.0630066
Nicol	0.0629275
Griffith	0.0627932
Lowey	0.062764
Soliah	0.0627459
Sheedy	0.0627252
Raznatovic	0.0627249
Sorensen	0.0626636
Moroni	0.0626629
Klebold	0.0624862
Wilder	0.0624809
Edson	0.0621466
Markovic	0.0621349
Denton	0.0620852
Scripps	0.0620579
Judd	0.061801
LBJ	0.06175
Weston	0.0617469
Ramsey	0.0617115
Bronfman	0.0615543
Henley	0.0615302
"Maturino Resendez"	0.0615148
Skakel	0.0614515
Marceau	0.0613959
Michaels	0.0613776
Hecht	0.0613397
"mentally retarded"	0.0612059
Weiss	0.0611767
))
(Bessie (desc 1070.99) (sims
Millie	0.106713
Kathleen	0.104863
Evelyn	0.100088
Eileen	0.0959214
Dorothy	0.0770356
Meg	0.0737593
Donna	0.0719078
Edith	0.0711727
Lois	0.0693158
Sonia	0.0681999
Irina	0.0676414
JoAnne	0.0674314
Helen	0.0665699
Maureen	0.0663729
Anne	0.0660934
Nora	0.0659021
Kristin	0.0657562
Brenda	0.0657413
Mira	0.0651464
Laurie	0.0650993
Frances	0.0650769
Annette	0.0638055
Debbie	0.0634572
Abbie	0.0632147
colleen	0.0630826
Sally	0.0629304
Maude	0.0619704
Samantha	0.0618488
Shirley	0.0616956
Nikki	0.0616693
Marcia	0.0616337
Betsy	0.0614206
Jessica	0.0613233
Valerie	0.0612455
Erica	0.0610857
Andrea	0.0609757
Colette	0.0606706
Agnes	0.0606575
Edmund	0.0597505
Menuhin	0.0596833
Marian	0.0596606
Jill	0.0596411
Beatrice	0.0596361
Amanda	0.059605
Michele	0.059497
alicia	0.0588854
Karenna	0.0588519
Rachel	0.0587787
Janice	0.0582746
Stacy	0.0582619
Josephine	0.0581623
Kathryn	0.0581442
Castaneda	0.0574283
Franz	0.0565027
Maria	0.0561163
Kathy	0.0559744
Judy	0.0554293
Hurley	0.0552591
"Mariela Quintana"	0.0552262
Natalie	0.0549078
"Patsy Ramsey"	0.0547481
Lydia	0.0546737
Gina	0.0546645
Dee	0.0539184
Jacqueline	0.0536524
Anita	0.0535788
Denise	0.0535521
"Matthew Eappen"	0.0534851
Jamie	0.0534235
Teresa	0.0533426
Fink	0.0528056
Sara	0.0525396
Sylvia	0.052032
LES	0.0514806
Liz	0.0513313
Jenny	0.0512141
Brooke	0.0512
Stephanie	0.051166
ISABEL	0.051134
Lori	0.0511266
Jenna	0.0508228
Jessie	0.0502424
Cathy	0.0501965
Leah	0.0500599
Robin	0.0498156
Barbara	0.0497229
Kimberly	0.0497184
Beth	0.0496198
Raznatovic	0.0492387
Molly	0.0492291
Doris	0.0490764
Susie	0.0490424
Linda	0.0487412
Sophie	0.0487084
Neff	0.0484765
Betty	0.0484645
Leslie	0.0484021
Deborah	0.0481699
lacy	0.0480596
Schlichtmann	0.0480126
Juanita	0.0479282
Emily	0.0478496
Margaret	0.0477256
Olga	0.0475951
Sandra	0.0475213
Montalvo	0.0469253
postman	0.0468445
Patricia	0.0468199
"Alcoholics Anonymous"	0.0468092
"Barbara Bush"	0.0467643
Diane	0.0466128
Julia	0.0466059
Yarmila	0.0465927
Borden	0.0464343
Adele	0.046164
Rhonda	0.0461334
Marie	0.0461199
Cheryl	0.0461145
Lauren	0.0459193
Sabrina	0.045879
Abby	0.0458687
Audrey	0.0457082
"James Caan"	0.0456886
Pauline	0.0456456
Ashley	0.0456137
UPC	0.0453067
Carolyn	0.0451185
Solis	0.045104
"Anakin Skywalker"	0.0450579
becky	0.0449662
Cristina	0.0448499
shalt	0.0447916
Lucia	0.0446878
Rosario	0.0445737
DeFrantz	0.0445453
Katie	0.0444664
Beverly	0.0444603
Ellen	0.0444535
Gwen	0.0444257
"Juan Miguel"	0.0440585
Marlene	0.0440324
Suzanne	0.0438973
kitty	0.0438357
solitaire	0.0438185
timothy	0.0437135
Erin	0.0436719
Sheryl	0.0436511
Tammy	0.0436345
Trantino	0.0436211
Vivian	0.0434471
Camille	0.0433999
"Azizah Ismail"	0.0432422
Marisleysis	0.0432196
Louise	0.0430604
Kay	0.0428351
Patti	0.0426501
Miriam	0.0425199
gloria	0.0424414
Alexis	0.0422663
Eva	0.0421711
Silas	0.0421642
Dumitru	0.0421229
Judith	0.0419424
Blackthorne	0.041794
Isabella	0.0417833
Lacresha	0.0416929
Polly	0.0414148
Trujillo	0.0413943
hazel	0.0413784
Rebecca	0.0412919
"second fiddle"	0.0412286
Jeanne	0.0411397
Vladimir	0.0411385
Speer	0.0409422
"Tinky Winky"	0.0408118
Elisabeth	0.0407365
Luca	0.0406886
Nickerson	0.0406386
twenty-eight	0.0406384
"Cindy McCain"	0.0404943
Vanessa	0.0404712
Edna	0.0402733
Bianca	0.0402675
Wanda	0.0400972
Natasha	0.0400753
))
(best (desc 65447.4) (sims
worst	0.112932
highest	0.105974
lowest	0.0899589
greatest	0.0883002
"the very best"	0.0860177
strongest	0.0856206
biggest	0.0806389
toughest	0.0786728
most	0.0778754
"second best"	0.0775144
longest	0.0762525
fastest	0.0759109
second	0.0698849
player	0.0690108
largest	0.0667955
lot	0.0630193
kind	0.0629421
fifth	0.0622249
favorite	0.0621964
thing	0.0603207
oldest	0.0597875
third	0.0597848
success	0.0596101
any	0.0591529
guy	0.0589569
winner	0.0586722
chance	0.0579408
percentage	0.0574885
something	0.0569743
poorest	0.0568517
athlete	0.0565672
"turning point"	0.0546976
performance	0.0545622
heck	0.054484
fourth	0.0544816
example	0.0542976
streak	0.0542455
eighth	0.0541477
many	0.0536829
Three	0.053522
seventh	0.0530208
none	0.0528379
average	0.052268
"No. @"	0.0521764
fun	0.0521082
sixth	0.0517855
ones	0.0515942
standard	0.0514664
highlight	0.0514278
talent	0.0513119
rest	0.0512444
same	0.0511027
nothing	0.0509507
achievement	0.0507795
everything	0.0506568
factor	0.0506002
anybody	0.0504972
miracle	0.0504245
safe	0.0502634
anything	0.0501288
event	0.0500907
"first time"	0.0499756
contender	0.0499703
bit	0.0498143
pitcher	0.0497077
victory	0.0496418
Five	0.0493428
accomplishment	0.0492887
sort	0.0492876
hitter	0.049062
sense	0.0490178
anyone	0.0490162
feat	0.0489423
total	0.0487769
hero	0.0487276
friend	0.048645
future	0.0486415
title	0.0486233
worse	0.0484864
competitor	0.0484058
champion	0.0477023
improvement	0.0475438
strength	0.047495
ideal	0.0470276
Six	0.046814
reflection	0.0467937
epitome	0.0467834
goal	0.0467685
golfer	0.046768
handful	0.0466793
opportunity	0.0466345
championship	0.0465971
smallest	0.0465629
superstar	0.0464223
version	0.0463761
medal	0.0463479
everyone	0.0463136
quarterback	0.046253
milestone	0.0462263
"most valuable player"	0.0459815
showing	0.0459435
everybody	0.045889
advantage	0.0458291
confidence	0.0456928
four	0.0455244
combination	0.0452167
indication	0.0451421
attraction	0.0450687
half	0.045066
element	0.0450244
history	0.0449649
trend	0.0449553
artist	0.0449371
performer	0.044862
moment	0.0447393
memory	0.0446706
"highest level"	0.044669
Luck	0.0445967
seven	0.0445621
eight	0.0445295
"role model"	0.0444003
choice	0.0443673
type	0.0443668
idea	0.0443357
symbol	0.044309
"no one"	0.0442151
staple	0.0440912
nine	0.0439848
collection	0.0439729
superior	0.0438716
variety	0.0438391
competition	0.0437215
person	0.0436882
stuff	0.0434737
"whole lot"	0.0434659
potential	0.0433314
career	0.043294
expectation	0.0432644
dream	0.0432381
starter	0.043131
worthy	0.043103
plenty	0.0430462
triumph	0.0429828
thought	0.0429144
nobody	0.0428506
kid	0.0428236
Song	0.0427797
story	0.0427744
scenario	0.0427534
hell	0.0426915
"first one"	0.0425801
lesson	0.0425664
prospect	0.0424547
quality	0.0423256
latest	0.0422734
essential	0.0422145
style	0.0421562
breakthrough	0.0419904
"lower than"	0.0419629
overall	0.0419588
horse	0.0419539
shot	0.0419454
reason	0.0418676
pleasure	0.0418668
vision	0.0418518
bunch	0.0418469
image	0.0418459
someone	0.0418075
winning	0.0417954
classic	0.0417817
aspect	0.0417814
cornerstone	0.0416683
receiver	0.0414718
culture	0.0413708
master	0.0412367
tragedy	0.0411641
disappointment	0.0409883
picture	0.0409052
news	0.0407949
copy	0.0406912
key	0.040663
character	0.0406569
piece	0.040545
reality	0.0405003
priority	0.0404798
"first team"	0.0404376
appearance	0.0404316
art	0.0403674
ninth	0.0403223
ok	0.0403132
option	0.0402952
neither	0.0402187
offense	0.0401717
rating	0.0400975
era	0.0400694
characteristic	0.0400509
))
("Best Buy" (desc 4139.04) (sims
"Circuit City"	0.264988
CompUSA	0.25535
Staples	0.185789
"Home Depot"	0.162228
Carrefour	0.144236
"Rite Aid"	0.144023
Kmart	0.143632
Wal-Mart	0.142188
Asda	0.135861
"Radio Shack"	0.135628
"Toys R Us"	0.133118
Costco	0.131054
Safeway	0.129054
"Wal-Mart Stores"	0.127944
"Barnes &AMP; Noble"	0.123949
"Saks Fifth Avenue"	0.123246
"Staples Inc."	0.123171
Walmart	0.119601
"Old Navy"	0.119348
Albertson's	0.117525
"Office Depot"	0.117127
Caldor	0.117118
Sears	0.116994
"J.C. Penney"	0.115764
"Burger King"	0.111877
"Neiman Marcus"	0.109155
"discount store"	0.105166
"Fred Meyer"	0.104622
CVS	0.103932
Kroger	0.10391
Publix	0.103726
Drugstore.com	0.102049
Reel.com	0.101497
REI	0.100449
"Sharper Image"	0.0991872
GANNETT	0.0967946
Williams-Sonoma	0.0941216
CDnow	0.0922231
"Gap Inc."	0.0901464
Ikea	0.0901078
Penney	0.0887848
eToys	0.087981
Checkfree	0.0868703
Gymboree	0.0854089
"Brooks Brothers"	0.0853447
Starbucks	0.0849208
"J&AMP;J"	0.0848776
"Krispy Kreme"	0.0840949
"Barneys New York"	0.0831819
Nordstrom	0.0822752
Toysmart.com	0.080695
ExciteAtHome	0.0796955
"Waste Management"	0.0792645
"Knight Ridder"	0.0792309
VENATOR	0.0785417
Biogen	0.0783109
"Tower Records"	0.0782446
"FAO Schwarz"	0.0782403
Roebuck	0.0780438
NiSource	0.0770465
CCE	0.0770153
"J. Crew"	0.0769256
RJR	0.076788
Woolworth	0.0758304
Bloomingdale's	0.0758151
"Sara Lee"	0.0758072
"Computer Associates"	0.075804
Macy	0.0754901
"chain store"	0.07488
Saks	0.0743787
"Sony Corp."	0.0740888
Barneys	0.0740219
"Con Ed"	0.0739917
"Banana Republic"	0.073538
"computer store"	0.073343
EMC	0.0733052
"Sprint PCS"	0.0727853
"Eddie Bauer"	0.072354
"P&AMP;G"	0.0709465
superstore	0.0706917
"Planet Hollywood"	0.0705158
"Amazon.com Inc."	0.0704451
drugstore	0.0700827
"Federated Department Stores"	0.0699091
"Pottery Barn"	0.0695929
"department store"	0.0693784
"retail store"	0.0690185
Bristol-Myers	0.0689159
Loews	0.068699
Buy.com	0.0686727
Pets.com	0.068439
Bestfoods	0.0676385
"Phelps Dodge"	0.0666761
Walgreen	0.0666179
"Wal-Mart Stores Inc."	0.0663195
Roberds	0.0662455
"good guy"	0.066077
Priceline.com	0.0660597
Fingerhut	0.0659316
Pitney	0.0654897
ALZA	0.0654353
"Cox Communications"	0.0652505
Amazon.com	0.0650999
blockbuster	0.065085
Amazon	0.0646006
"Exxon Mobil"	0.0645219
Northpoint	0.06452
Polaroid	0.0643849
Loewen	0.0640636
Barnesandnoble.com	0.0639128
Walgreens	0.0635586
Tandy	0.0635412
"discount chain"	0.0634972
Novell	0.0634105
"clothing store"	0.0631823
Harrods	0.0626526
Gump	0.0626496
Kodak	0.0621953
MiniMed	0.0620081
"State Street"	0.0619679
SGI	0.0612657
AutoNation	0.0612492
"specialty store"	0.0612298
"Texas Instruments"	0.0612137
"grocery store"	0.0611852
"Whole Foods"	0.0609668
"gasoline station"	0.0608419
USEC	0.060616
"Raytheon Co."	0.0605764
NORTHROP	0.0603257
"National Grid"	0.0600878
ENTERGY	0.0598261
"Hewlett-Packard Co."	0.0597327
Cisco	0.0596925
Sony	0.0596682
"Food Lion"	0.0596295
"Fannie Mae"	0.0595684
"MCI WorldCom"	0.0595453
Inc.	0.0594365
Peapod	0.059196
Philips	0.0589602
Chiron	0.0588458
Priceline	0.0588374
PictureTel	0.058812
Alcoa	0.0587829
"retail chain"	0.0587476
"American Home"	0.0586141
Supercenters	0.0585307
"T Corp."	0.0584284
"Dell Computer"	0.0579752
Humana	0.0576259
Heinz	0.0575573
"Southwest Airlines"	0.0575056
Sotheby's	0.0574294
DaimlerChrysler	0.0572612
GTE	0.0572489
"BP Amoco"	0.0571306
Dillard	0.0571196
"service station"	0.0568204
Hasbro	0.0567838
"Silicon Graphics"	0.0563682
Honeywell	0.0562957
Enron	0.0560875
"credit bureau"	0.0559646
Genentech	0.0557882
Agilent	0.0557741
MCDONALD's	0.0557723
Unisys	0.0557154
Wiz	0.0556528
Genzyme	0.055603
"Beth Israel"	0.0555583
"repair shop"	0.0555001
N@K	0.055394
Diageo	0.0553869
Hertz	0.0553746
Pharmacia	0.0551874
Ameritech	0.0551739
Kellogg	0.0551559
Kinko	0.055116
"Procter &AMP; Gamble"	0.0550977
SmithKline	0.0550901
Compaq	0.0550565
"Bear Stearns"	0.0547704
CMGI	0.0547558
ENTREMED	0.0544241
"hardware store"	0.0544122
Cargill	0.0543755
"Lord &AMP; Taylor"	0.0543134
Nokia	0.0542852
"KCP&AMP;L"	0.0541834
"Taco Bell"	0.0541468
"Donna Karan"	0.0541237
"Sears, Roebuck &AMP; Co."	0.0540724
Sunbeam	0.0540305
Pairgain	0.0538583
"Times Mirror"	0.0538035
"Dayton Hudson"	0.0536906
Cabletron	0.0536838
"Discovery Channel"	0.0535648
"Johnson &AMP; Johnson"	0.0533241
))
("best friend" (desc 37643.1) (sims
friend	0.132847
girlfriend	0.118723
boyfriend	0.100192
aunt	0.0996437
roommate	0.0994629
sister	0.0977407
brother	0.0954999
wife	0.0947305
buddy	0.092236
mother	0.091082
daughter	0.0895912
cousin	0.0874453
companion	0.0856672
classmate	0.0818359
husband	0.0803375
grandmother	0.0802492
father	0.0798889
fiancee	0.0786984
co-worker	0.0779078
son	0.0776407
uncle	0.0769851
lover	0.0764434
PAL	0.0763198
mom	0.0757998
girl	0.0721772
"soul mate"	0.0710539
sibling	0.0705881
spouse	0.0705593
niece	0.0703797
"family member"	0.0703453
acquaintance	0.0698618
nephew	0.0690063
playmate	0.0687094
exwife	0.0678701
neighbor	0.0671944
parent	0.0671677
dad	0.0670703
mentor	0.0664528
fiance	0.0660977
grandfather	0.0654308
stepdaughter	0.0644425
ex-girlfriend	0.0641994
"role model"	0.0630966
schoolmate	0.0626114
relative	0.0625076
sweetheart	0.0619798
granddaughter	0.0612445
"little girl"	0.0607936
mistress	0.0607127
boy	0.0601291
colleague	0.0598723
hero	0.0593351
"young woman"	0.0588728
teammate	0.0587837
"good person"	0.0583254
"little boy"	0.0581853
guy	0.0579604
kid	0.0578567
teacher	0.0576676
Bos	0.0571538
stepfather	0.0567642
grandparent	0.0562841
mother-in-law	0.0560987
"young man"	0.0558527
grandchildren	0.0554278
in-law	0.0551412
"loved one"	0.0551042
coworker	0.0550208
David	0.0547277
widow	0.0546378
waitress	0.0545622
sister-in-law	0.0543405
grandson	0.0540928
stranger	0.0539428
"little sister"	0.0538752
schoolteacher	0.0538001
Susan	0.0536645
partner	0.0534197
ex-husband	0.0525547
"little brother"	0.0523093
exboyfriend	0.0521684
Joe	0.0520295
mate	0.0519514
brother-in-law	0.0519182
someone	0.0515733
"young girl"	0.0515026
beau	0.0514887
assistant	0.0511692
dog	0.0510944
actress	0.0509837
father-in-law	0.0508444
confidante	0.0504451
sidekick	0.0503359
stepmother	0.0503304
idol	0.0500707
policeman	0.0500447
nurse	0.0500386
comrade	0.0499392
Bobby	0.0498907
teen-ager	0.0498595
pet	0.0497281
Adam	0.0495419
boss	0.049468
Daddy	0.0494611
agent	0.0493574
victim	0.0493538
nun	0.0493403
character	0.0491063
cheerleader	0.0489654
baby	0.0489146
person	0.0487485
confidant	0.0487427
"foster parent"	0.0487046
stepson	0.0485885
priest	0.0484892
daughter-in-law	0.0482672
Paul	0.0481411
Robert	0.0480325
prostitute	0.0478689
protector	0.0478684
Sally	0.0477744
Linda	0.0475768
singer	0.0475564
housekeeper	0.0474514
Princess	0.0473154
co-star	0.0470899
"church member"	0.0469696
heroine	0.0468512
caddie	0.0466175
actor	0.0465216
servant	0.0464585
enemy	0.0464193
collaborator	0.0461396
ally	0.0460271
therapist	0.0459119
Laura	0.0459097
bodyguard	0.0458827
"English teacher"	0.0458488
Frank	0.0453169
clerk	0.0452758
alcoholic	0.0452157
antagonist	0.0447985
Jackie	0.0447925
Elizabeth	0.0447832
CAT	0.0447745
Helen	0.0447138
"football player"	0.0446017
John	0.0445705
Margaret	0.0445367
psychiatrist	0.0444369
Sarah	0.044414
Cindy	0.0442545
bride	0.04424
sitter	0.044119
Cop	0.0440785
tom	0.0439717
Ben	0.0439381
Brian	0.0439369
Matthew	0.0439261
Diana	0.0438425
survivor	0.0438254
Martha	0.0438017
innocent	0.0437987
Kin	0.0436946
Larry	0.043685
counselor	0.0436596
Lieutenant	0.0436369
"Princess Diana"	0.0434286
son-in-law	0.0433648
pastor	0.0432504
Donna	0.0431537
publicist	0.0431233
stockbroker	0.0430897
tutor	0.0429597
photographer	0.0429081
Jim	0.0428966
Tony	0.0428515
Marie	0.0427762
artist	0.0426903
Kate	0.0426035
aide	0.0425551
Michael	0.0425307
heir	0.0425258
lady	0.0425149
caretaker	0.0424612
William	0.0424609
Jamie	0.0424154
martyr	0.0423324
Julie	0.0422978
Attorney	0.0422379
grandchild	0.042147
somebody	0.042103
"police officer"	0.042092
nerd	0.0420263
infant	0.0419811
protagonist	0.0419722
Lance	0.0419365
offspring	0.0419256
James	0.0419227
Peter	0.0417518
))
("best man" (desc 5974.97) (sims
"Mickey Blue Eyes"	0.105586
"Notting Hill"	0.0910468
U-@@@	0.0874867
"Thomas Crown Affair"	0.0872404
"Double Jeopardy"	0.0871445
"Iron Giant"	0.0775081
"Erin Brockovich"	0.0770533
"Fight Club"	0.0758677
"Patch Adams"	0.0756097
"Runaway Bride"	0.0748807
"American Pie"	0.0741304
"Impossible @"	0.0740302
EdTV	0.0737158
Bowfinger	0.0735775
"Galaxy Quest"	0.0727145
"American Beauty"	0.0686518
Rushmore	0.0681892
pallbearer	0.0675525
Amadeus	0.0673057
"Eyes Wide Shut"	0.0669
batboy	0.0660402
AWOL	0.0625148
"Nurse Betty"	0.0615454
"Got Mail"	0.0593509
"high fidelity"	0.0585755
ringmaster	0.0585135
"Hollow Man"	0.0580509
"Smoke Signals"	0.0578457
"Little Voice"	0.0573765
"Life Is Beautiful"	0.0573718
"Being John Malkovich"	0.0572499
"important person"	0.0572334
Bulworth	0.056278
"Space Cowboys"	0.0558453
"Thin Red Line"	0.0554038
"Civil Action"	0.0548379
Pecker	0.0544518
"Saving Private Ryan"	0.0541423
"wonder boy"	0.0537602
"Animal House"	0.0535046
"pitch black"	0.0533739
"Dudley Do-Right"	0.052763
"Blair Witch Project"	0.0523824
"Green Mile"	0.0520352
"Stuart Little"	0.0515548
"traveling salesman"	0.0510065
Matrix	0.0508079
"Ideal Husband"	0.0502949
"Mighty Joe Young"	0.0501233
"chicken run"	0.0499189
"Full Monty"	0.0498376
"sixth sense"	0.0495001
"Very Bad Things"	0.0494358
infantryman	0.0493936
"Big Daddy"	0.0492728
"Mod Squad"	0.0491836
LIMEY	0.0489715
"Scary Movie"	0.0478518
stepmom	0.0477251
"sounding board"	0.0475581
Mulan	0.0475029
Gladiator	0.0469681
"Simple Plan"	0.0469657
governess	0.0467913
"Roundabout Theater Company"	0.0467059
"Lake Placid"	0.0465856
shoo-in	0.0462947
"Phantom Menace"	0.0461286
"Inspector Gadget"	0.0461164
breadwinner	0.0459819
"Cider House Rules"	0.0457465
Antz	0.0455762
"Pulp Fiction"	0.0454709
"Central Station"	0.0452915
"wild West"	0.045224
headliner	0.0450541
"Get Real"	0.0448673
Tootsie	0.044847
Magnolia	0.0447602
"Titan A.E."	0.0446686
Titus	0.0441328
Ronin	0.0439921
rainmaker	0.043955
caddie	0.0439106
confidant	0.0439022
"chairman emeritus"	0.0438917
cinematographer	0.0436551
"Random Hearts"	0.0434475
"fall guy"	0.0433062
"Sleepy Hollow"	0.0428702
"Varsity Blues"	0.042839
"altar boy"	0.0425782
Pleasantville	0.0424834
non-factor	0.0424501
organist	0.0423162
Bette	0.042087
"Cruel Intentions"	0.0419932
"DEEP BLUE SEA"	0.0419775
"Iceman Cometh"	0.0417651
impostor	0.0417346
"True West"	0.0417082
bridesmaid	0.0416742
player-coach	0.041665
concertmaster	0.0414183
dogma	0.0413975
"Waking Ned Devine"	0.0413972
Caddy	0.0409584
"Perfect Storm"	0.0407332
wont	0.0405769
"Will &AMP; Grace"	0.0401936
"Truman Show"	0.0400719
Girlfight	0.0400556
))
("best seller" (desc 18176.7) (sims
bestseller	0.219731
novel	0.114235
memoir	0.0929559
"short story"	0.0903951
autobiography	0.0845364
fiction	0.0760667
novella	0.0745371
classic	0.0705475
paperback	0.0698153
poem	0.0688487
tome	0.0685655
cookbook	0.0682267
"literary work"	0.0679837
"magazine article"	0.0671169
biography	0.0668745
moneymaker	0.0667706
"adventure story"	0.0666726
thriller	0.0649353
blockbuster	0.0642745
nonfiction	0.0636603
"reference work"	0.0623024
diary	0.0621762
"comic book"	0.0614225
epic	0.0612236
"reference book"	0.0610319
hardback	0.0596166
tale	0.0589292
periodical	0.058298
album	0.0581833
beloved	0.057193
"Great Gatsby"	0.0569161
"Harry Potter"	0.0561522
"feature film"	0.0556331
translation	0.0551494
Ulysses	0.0547552
Encyclopedia	0.0546353
text	0.0545032
essay	0.0543831
literature	0.0541084
Bible	0.0540425
masterpiece	0.0538371
trilogy	0.0536262
"TV show"	0.0535142
manuscript	0.0533084
seller	0.0529104
Anthology	0.0527558
"love story"	0.0522079
sequel	0.0521068
edition	0.0521034
textbook	0.0520575
miniseries	0.0520259
flop	0.0517483
"television show"	0.0513734
adaptation	0.0513696
"Satanic Verses"	0.0510601
treatise	0.0506141
"TV program"	0.0505755
drama	0.0504513
publication	0.0502026
"cause celebre"	0.0497736
poetry	0.0495536
documentary	0.0494527
almanac	0.0494471
Screenplay	0.0492526
Saga	0.0488414
prose	0.0485652
musical	0.0482657
dictionary	0.0479003
encyclical	0.0478261
workbook	0.0476644
"success story"	0.0472052
well-received	0.0471379
catalog	0.0471185
mystery	0.0468915
pamphlet	0.0467576
"American Century"	0.0464583
Lolita	0.0464233
"picture book"	0.0463456
comedy	0.0461566
narrative	0.0461309
journal	0.0460047
writing	0.0457429
Catch-@@	0.0456287
potboiler	0.0454048
travelogue	0.0453995
dud	0.0453326
billionaires	0.0450603
cartoon	0.0449276
legend	0.0447529
script	0.0447303
handbook	0.0446196
"newspaper column"	0.0445009
"comic strip"	0.0443489
"Perfect Storm"	0.0443129
guidebook	0.04386
"computer game"	0.0435571
mini-series	0.0430337
staple	0.0430319
"newspaper article"	0.0430096
Recording	0.0429125
"news story"	0.0428056
booklet	0.0427126
headline	0.0427126
monograph	0.0427018
Allegory	0.0425594
opera	0.0425542
"New Testament"	0.042554
rarity	0.042417
manual	0.0423706
Frankenstein	0.0423526
brochure	0.0423076
"Good Book"	0.0421709
libretto	0.04203
prospectus	0.0419963
top-@@	0.0419483
HARDCOVER	0.0419336
Masterworks	0.0418778
Koran	0.0417706
user-friendly	0.0417317
obituary	0.041718
fable	0.0416648
"talking point"	0.0415681
paragraph	0.0415598
pariah	0.0414571
multimillionaires	0.0411009
"Moby Dick"	0.0408473
"yellow pages"	0.0406759
"historical document"	0.0403753
treasure	0.0402481
))
(best-of-@ (desc 1533.62) (sims
"Federation Cup"	0.152048
"Davis Cup World Group"	0.14851
"Louis Vuitton Cup"	0.148055
"World Group"	0.134207
"Fed Cup"	0.120854
"South Regional"	0.115805
pre-Olympic	0.112615
"World Championship"	0.111591
"Midwest Regional"	0.107202
"round robin"	0.10607
"Western Conference"	0.104153
"F.A Cup"	0.104035
"Uber Cup"	0.104035
"Hamlet Cup"	0.10202
"League Cup"	0.100734
ml	0.09821
"Eastern Conference"	0.096372
"West Regional"	0.0959967
CONCACAF	0.0955777
"National League East"	0.0934641
"Hopman Cup"	0.0909107
"Western Conference Finals"	0.0902224
tiebreak	0.0895879
"Cup Winners Cup"	0.0874328
"European Cup"	0.0869047
"East Regional"	0.0866495
"Division I-AA"	0.0864973
EuroLeague	0.0864002
Lucerne	0.0862782
three-meter	0.0858664
"NL East"	0.0855125
"match play"	0.0850587
"NL West"	0.0844648
"Davis Cup"	0.0838413
"Libertadores Cup"	0.0837357
"Italian Cup"	0.0834173
"Division @"	0.0807371
WCC	0.0803798
"Sudirman Cup"	0.0802797
"Champions League"	0.0800181
"AFC West"	0.0798259
epee	0.0786617
"first cup"	0.0785943
repechage	0.0778308
"field hockey"	0.0777529
"Italian League"	0.0773725
"Grand Slam Cup"	0.0768838
interleague	0.0749748
"Big Sky Conference"	0.0744491
"European Champions Cup"	0.0743243
"stroke play"	0.073547
"Thomas Cup"	0.0732128
"Golden League"	0.0730481
"Louis Vuitton"	0.0727894
"National League West"	0.0725805
"FA Cup"	0.0723701
"Volleyball Grand Prix"	0.0720878
"NFC Central"	0.0715285
"AFC Central"	0.0708119
"African Nations Cup"	0.0707755
"AL East"	0.0703891
Maurier	0.0703252
under-@@	0.0698495
"Champions Cup"	0.0698117
"International League"	0.0697311
"NFC West"	0.069439
made-for-TV	0.0692846
NLCS	0.0690299
"Hong Kong Open"	0.0684751
"first tour"	0.0682515
"European Championship"	0.0681578
"first four"	0.0675778
"American League East"	0.067545
"Busch Grand National"	0.0673523
"Euro @@@@"	0.0669235
"American League West"	0.0665469
"ATP Championship"	0.0661908
"Eastern Division"	0.0657423
"Funny Car"	0.0653966
relegation	0.0648988
nit	0.0641337
GP	0.0639469
"ATP Tour"	0.0635949
Lipton	0.0634635
"Next Generation"	0.063217
"Dunhill Cup"	0.0629376
"Home Run Derby"	0.0627303
steeplechase	0.0627213
Hainiu	0.0622941
snooker	0.0617511
nonconference	0.0617289
"Copa America"	0.061327
"World League"	0.0611297
"European Champions League"	0.0609561
tiebreaker	0.0606948
"NFC East"	0.0604604
"Pacific Division"	0.0601764
scull	0.0601523
"next four"	0.0599598
"AFC East"	0.0599443
Yachting	0.0599291
"Atlantic Coast Conference"	0.0598582
"Confederations Cup"	0.0595911
"second tour"	0.059555
seesaw	0.0594104
"US Open"	0.0591124
"Asian Cup"	0.0587761
"Acura Classic"	0.0583813
"Stockholm Open"	0.057818
NHRA	0.0576955
Kobayashi	0.0575602
"National League Championship Series"	0.0575056
six-hour	0.056844
"ski jumping"	0.0567519
"Italian Open"	0.0565719
"Subway Series"	0.0564774
"Canadian Open"	0.0564712
"U.S. Amateur"	0.0564257
"water polo"	0.0563508
"Top Fuel"	0.0555248
"Super Bowl XXXIII"	0.0553182
AFC	0.0550022
"ice hockey"	0.0549314
"National Invitation Tournament"	0.0548642
"hammer throw"	0.0547505
Rostock	0.0547011
hourlong	0.0544358
rowing	0.0539341
NTRA	0.0538345
Watanabe	0.0538012
ATP	0.0537841
Daiei	0.0536867
"Japan Open"	0.053502
"AL West"	0.0534884
skeet	0.0534294
"United States Open"	0.0533638
croquet	0.0533471
Salernitana	0.0532625
dressage	0.0532032
"National Hockey League"	0.0530112
"first three"	0.0529161
Freiburg	0.0529148
Wilander	0.0528809
"Group @"	0.052764
"first six"	0.0524752
three-and-out	0.0524664
Pacific-@@	0.0524195
bantamweight	0.0522579
"Solheim Cup"	0.0522135
"Atlantic Division"	0.0519835
"wide screen"	0.05146
"Big East"	0.051078
Spenser	0.0510343
"Lethal Weapon"	0.0508425
"Chinese Basketball League"	0.0507324
Rugby	0.0506116
"UEFA Cup"	0.0504499
"German Open"	0.0503661
"Southwest Conference"	0.050294
handball	0.050118
Cliburn	0.0496984
"NL Central"	0.0494856
"table tennis"	0.0493102
anything-goes	0.0491878
"Stanley Cup Finals"	0.048704
"Le Mans"	0.0485901
"first five"	0.0485667
"SEC East"	0.0485617
"National Thoroughbred Racing Association"	0.048405
"Championship Auto Racing Teams"	0.0483019
"less than two"	0.0482676
Holyfield-Lewis	0.0482143
Asiad	0.0481938
"Netherlands Antilles"	0.0468297
"Southeastern Conference"	0.0467963
tune-up	0.0466776
"next two"	0.0465525
"Big Sky"	0.0464833
DV	0.0463547
"Gold Cup"	0.0461814
MD	0.0460973
one-hour	0.046011
"Big @@"	0.0459665
hardcourt	0.0458847
"American Chanda Rubin"	0.0455921
"Round @"	0.0455641
"piece of cake"	0.0452254
"won nine"	0.0452035
Duisburg	0.044324
"won three"	0.0441146
"San Lorenzo"	0.0440514
"Little League World Series"	0.0440166
"professional baseball"	0.0439382
"day game"	0.0438424
"Western Athletic Conference"	0.0437768
"NASCAR Winston Cup"	0.0436133
Bastia	0.0435785
Shenhua	0.0435304
nightcap	0.0434265
badminton	0.0433863
))
(Bestfoods (desc 3612.34) (sims
NatWest	0.246642
Nabisco	0.200551
Mannesmann	0.198642
ALZA	0.19583
Petrofina	0.191027
Warner-Lambert	0.185202
ascend	0.177948
VoiceStream	0.176049
Avondale	0.172989
McKesson	0.169468
Asarco	0.168782
Emulex	0.168186
COLTEC	0.167746
"U.S. Trust"	0.167502
Nestle	0.166846
"Learning Co."	0.166604
Airtouch	0.166407
"P&AMP;G"	0.162961
"U S West"	0.161832
"Newport News"	0.156625
"Times Mirror"	0.156041
"Telecom Italia"	0.154548
ARCO	0.154432
"MediaOne Group"	0.154063
Seagram	0.154026
Broderbund	0.153073
"Thermo Electron"	0.15277
"Bankers Trust Corp."	0.152744
Ciena	0.151167
XYLAN	0.150319
"American Home Products"	0.150011
Paribas	0.14751
Clorox	0.144804
Aetna	0.144789
"Cadbury Schweppes"	0.144634
"Procter &AMP; Gamble"	0.144578
Mediaone	0.144533
RJR	0.143739
Healtheon	0.143355
Alcoa	0.141722
SmithKline	0.140974
Sunbeam	0.140959
Unilever	0.140148
"Bankers Trust"	0.139226
Vivendi	0.138476
"Union Carbide"	0.138218
UAL	0.138131
"American Home"	0.138123
ENTREMED	0.136341
"RJR Nabisco"	0.135864
PLDT	0.135646
YPF	0.13489
Pfizer	0.134888
REVLON	0.134718
"Sprint Corp."	0.134315
GTE	0.13399
"Sara Lee"	0.133814
"Fred Meyer"	0.133699
"Computer Associates"	0.132896
Starwood	0.132234
"Phelps Dodge"	0.131987
Gerber	0.131976
Qwest	0.131768
"Y&AMP;R"	0.131531
Ameritech	0.131465
"HBO &AMP; Co."	0.131351
Honeywell	0.130935
Corel	0.130313
AMP	0.130045
SDL	0.128967
"National Grid"	0.128882
WPP	0.128585
"Frontier Corp."	0.128521
ExciteAtHome	0.128291
"JDS Uniphase"	0.128245
Broadcast.com	0.128107
Biogen	0.127319
"Campbell Soup"	0.126936
Broadcom	0.126427
Humana	0.126327
Totalfina	0.125756
GANNETT	0.125169
"Waste Management"	0.124912
Kellogg	0.124155
Amgen	0.123896
"Times Co."	0.123501
"Ameritech Corp."	0.123496
Olivetti	0.122768
TCI	0.122388
Cadbury	0.121963
"Atlantic Richfield"	0.121954
Mattel	0.121816
Checkfree	0.121514
"Societe Generale"	0.121406
TYCO	0.121263
Qualcomm	0.12121
MCI	0.120598
Iomega	0.120522
"US Airways"	0.120497
Monsanto	0.120116
Aegon	0.119893
Lycos	0.119775
"Northern Telecom"	0.119704
Maytag	0.119621
Autodesk	0.119391
"Northeast Utilities"	0.119368
"Philip Morris"	0.119331
"Pacific Century"	0.118528
GeoCities	0.118089
CMGI	0.118047
Asda	0.117779
"Airtouch Communications"	0.117729
TELLABS	0.116725
Pairgain	0.116359
"Warner-Lambert Co."	0.116198
Comsat	0.116157
Genentech	0.116127
Corning	0.116112
PolyGram	0.115595
NiSource	0.115338
LIFFE	0.115231
MiniMed	0.11523
"R.J Reynolds"	0.115052
EMC	0.11503
WorldCom	0.114483
Texaco	0.114463
"Nippon Credit"	0.114226
"Berkshire Hathaway"	0.114008
Livent	0.113944
Healtheon/WebMD	0.113915
"Times Mirror Co."	0.113862
"US West"	0.113828
"Monsanto Co."	0.113406
Astra	0.113387
Halliburton	0.113163
Unisys	0.112919
Cendant	0.112887
BankBoston	0.112775
Orangina	0.112233
"Atlantic Richfield Co."	0.111846
Hasbro	0.111494
"Lycos Inc."	0.111117
PEOPLESOFT	0.111083
Alcatel	0.111045
Cisco	0.110324
"Coca-Cola Co."	0.110138
BankAmerica	0.110124
"Adobe Systems"	0.109772
NORTHROP	0.109663
"Ben &AMP; Jerry"	0.10955
Amoco	0.109545
Lilco	0.109437
Mobil	0.109407
Kroger	0.109392
Saks	0.109376
Nortel	0.109125
BCE	0.109031
"Bay Networks"	0.108916
Genzyme	0.108822
"U S West Inc."	0.108798
Ericsson	0.10845
Heinz	0.108423
Gillette	0.108398
"Motorola Inc."	0.108307
AstraZeneca	0.107248
"Tele-Communications Inc."	0.107103
"Abbott Laboratories"	0.107045
"Bausch &AMP; Lomb"	0.106966
CCE	0.106665
Infoseek	0.106653
SBC	0.106479
LVMH	0.106333
SkyTel	0.105991
Georgia-Pacific	0.105937
Chiron	0.105868
PaineWebber	0.105793
EarthLink	0.105565
Exxon	0.105525
"Cisco Systems Inc."	0.105142
"Deutsche Bank"	0.105076
Pepsico	0.105017
"Global Crossing"	0.104955
E-LOAN	0.104745
WebMD	0.104742
Litton	0.104622
"International Business Machines Corp."	0.104296
"Oracle Corp."	0.104214
UBS	0.104187
Intuit	0.104163
Schering-Plough	0.103792
"UAL Corp."	0.103569
Vodafone	0.10348
"Chrysler Corp."	0.103348
Novell	0.103278
Telefonica	0.103063
"Halliburton Co."	0.102873
"BankBoston Corp."	0.102789
Seagate	0.102671
"Knight Ridder"	0.102668
"Tribune Co."	0.10252
"Mobil Corp."	0.10217
ITT	0.101973
AMR	0.101899
"Niagara Mohawk"	0.101864
Reynolds	0.10156
"Air Canada"	0.101437
"J&AMP;J"	0.101397
Dupont	0.101205
VENATOR	0.100964
"America West"	0.100959
"Time Warner"	0.100942
"Orange PLC"	0.100839
))
(bestseller (desc 11752.7) (sims
"best seller"	0.219731
hardback	0.0939167
"world market"	0.091371
Events	0.0823316
novel	0.0796062
nonfiction	0.0790603
"reference work"	0.0732303
cookbook	0.0681058
HARDCOVER	0.0679479
"short story"	0.0654754
"Satanic Verses"	0.0645143
thriller	0.0643006
tome	0.0638261
treatise	0.0626057
memoir	0.0612468
"love story"	0.0606184
"literary work"	0.0603099
"Harry Potter"	0.0602999
monograph	0.0593078
matchups	0.0567599
"Top @@@"	0.056206
"Great Gatsby"	0.0560545
obit	0.0560075
fiction	0.0551724
novella	0.0545806
autobiography	0.0543835
guidebook	0.0535541
album	0.052433
essay	0.0523278
"comic book"	0.0521398
biography	0.0519721
dictionary	0.0514445
Anthology	0.0511822
"comic strip"	0.0506031
top-@@	0.0505671
timeline	0.0504074
"TV movie"	0.0502593
calendar	0.0502495
Encyclopedia	0.0502384
"adventure story"	0.0501429
"news event"	0.0499436
diary	0.0495674
"Honda Accord"	0.049566
paperback	0.049402
quarterfinalists	0.0493582
blockbuster	0.0493233
periodical	0.0492118
poem	0.0490081
"American Psycho"	0.0487915
"success story"	0.0485235
businesswomen	0.0473093
textbook	0.0471996
well-received	0.0468139
"Moby Dick"	0.0465441
"magazine article"	0.0462742
buzzword	0.0456952
"ice storm"	0.0455163
documentary	0.0453053
"cause celebre"	0.0451825
trilogy	0.0450628
encyclical	0.044984
"feature film"	0.0446752
compilation	0.0445633
potboiler	0.0443087
"legal tender"	0.0441706
satire	0.0440289
"TV show"	0.0439253
Lolita	0.0439045
laughingstock	0.0438366
"Invisible Man"	0.0436957
"software package"	0.0436706
moneymaker	0.0436105
sequel	0.0435883
websites	0.0435062
sitcom	0.043385
literature	0.0430138
obituary	0.0428094
Bible	0.0425692
"newspaper publisher"	0.0421595
"Ford Taurus"	0.0420719
"X Games"	0.0419922
Catch-@@	0.0418653
"news story"	0.0418535
handbook	0.0418364
thumbnail	0.0418003
epic	0.0417998
newsletter	0.0417526
"Random House"	0.0416245
manuscript	0.0415489
poetry	0.0413617
finalist	0.041097
"newspaper column"	0.0408811
"opera star"	0.0407868
installment	0.0406601
"television program"	0.0406325
Ulysses	0.0406045
"television show"	0.0404858
"TV program"	0.040429
seller	0.0403977
"top dog"	0.0402262
"magnum opus"	0.0401927
"Forrest Gump"	0.0401388
cartoon	0.0400777
billionaires	0.0400435
"Primary Colors"	0.0400083
))
(bet (desc 41216.7) (sims
wager	0.124272
gamble	0.0872993
betting	0.0824087
guess	0.0704979
investment	0.0669571
bargain	0.0663376
valuation	0.0619497
option	0.0609026
proposition	0.0604186
money	0.0599957
shoo-in	0.0591215
impact	0.0589703
strategy	0.0579331
ticket	0.0579029
portfolio	0.0575832
chance	0.0570779
asset	0.0569603
bid	0.0566222
payoff	0.0566068
choice	0.0558135
"long shot"	0.0549959
transaction	0.0542728
prediction	0.0541687
bonus	0.0531774
dividend	0.0530951
donation	0.0529079
judgment	0.0528641
incentive	0.0513621
borrowing	0.0510372
favorite	0.0508966
alternative	0.0505606
dependent	0.0503933
saving	0.0503603
profit	0.0502609
speculation	0.0502272
opportunity	0.0501141
mistake	0.0498926
windfall	0.0498647
emphasis	0.0498266
scenario	0.04969
contribution	0.0495476
payment	0.0495071
fee	0.0494899
success	0.049311
fare	0.0492783
premium	0.049194
reward	0.0488596
accomplishment	0.0485338
idea	0.0485065
contender	0.0482883
joke	0.0482293
tab	0.0480739
venture	0.047883
gift	0.0478793
gambling	0.0478109
prize	0.0475357
expectation	0.0474007
purse	0.0473467
news	0.0470837
salary	0.0470512
"price tag"	0.0469583
tax	0.0464649
prospect	0.0464631
"down payment"	0.0464006
penalty	0.0464
holding	0.0463325
debt	0.0463307
loan	0.0461352
discount	0.0460413
risk	0.045994
experiment	0.0458385
stake	0.0456819
credit	0.0456576
fun	0.04559
potential	0.0453052
bettor	0.0452536
refund	0.0450551
paycheck	0.0449403
impression	0.044645
fluke	0.044588
liability	0.0445342
bribe	0.0443662
Gambit	0.0442153
spending	0.0440931
factor	0.0440145
advantage	0.0440014
trading	0.0439492
"legal fee"	0.0439491
tip	0.0438989
bond	0.0438618
Fortune	0.0437558
acquisition	0.0437506
possibility	0.0437145
cash	0.043597
package	0.0435671
compromise	0.0435094
suggestion	0.0434222
obstacle	0.0433292
assumption	0.0433094
optimism	0.0432725
certainty	0.0432379
trend	0.0431766
hobby	0.0430193
"capital gain"	0.04299
priority	0.0429498
forecast	0.0429382
burden	0.0429098
scheme	0.0428541
advice	0.0427781
concession	0.0427475
"interest payment"	0.042742
revenue	0.0426534
royalty	0.0426312
"prize money"	0.0426127
outlook	0.0425766
indicator	0.0425168
MTV	0.0424435
rebate	0.0423826
magnet	0.042345
ploy	0.0423355
bailout	0.0423059
Limitation	0.0422409
"bottom line"	0.0422312
barometer	0.0421058
reliance	0.0421047
assignment	0.0420695
perspective	0.041986
"tax cut"	0.04196
haven	0.0419465
deposit	0.0418319
restriction	0.0417861
rating	0.0417699
pledge	0.0417652
showing	0.041762
negative	0.0416628
niche	0.0415611
ones	0.0415091
AD	0.0414982
task	0.0414765
investor	0.0414582
thought	0.0414481
obligation	0.0414377
sentiment	0.0414345
breakthrough	0.0412192
winning	0.0412176
bearing	0.0411973
fundamental	0.0411913
improvement	0.0411887
subsidy	0.0411381
odds	0.0410316
wage	0.0410108
buyout	0.0409913
milestone	0.0409567
argument	0.0409282
item	0.0407446
tool	0.0406752
front-runner	0.0406383
blunder	0.0405578
opinion	0.0405497
data	0.0405183
thinking	0.0404416
mortgage	0.0404208
indication	0.0404144
offering	0.0403739
"tax bill"	0.0403613
monopoly	0.0403039
startup	0.0402969
buying	0.0402679
card	0.0402628
Luck	0.040227
tactic	0.0402097
recommendation	0.0401854
payouts	0.0400571
projection	0.0400197
coverage	0.040018
))
(beta (desc 5162.9) (sims
Notimex	0.18716
WAM	0.181508
Tanjug	0.165152
MTI	0.159546
Antara	0.157283
Ansa	0.15692
Jana	0.150688
Tass	0.147367
Lusa	0.137417
"Agence France Presse"	0.135141
BS	0.131523
Petra	0.127733
RSS	0.126468
Bernama	0.126156
KPL	0.123851
Anatolia	0.110097
Kyodo	0.109786
ATA	0.105923
IRNA	0.10214
"Kathmandu Post"	0.101451
Angop	0.100464
"Business Times"	0.0981092
"Moscow Times"	0.0950992
APA	0.0943715
"United Press International"	0.0943261
"Kyodo News"	0.0920407
"Southern African Broadcasting Association"	0.0910974
MENA	0.089469
"Indonesian Observer"	0.0884222
"Saudi Press Agency"	0.0866162
PAP	0.0863245
"Korean Central News Agency"	0.08588
Noticias	0.0857673
"Straits Times"	0.0850404
"press agency"	0.0849185
"Macao Daily News"	0.0846446
"Egyptian Middle East News Agency"	0.084134
"New Straits Times"	0.0837977
"Egyptian Gazette"	0.0837787
ABS-CBN	0.0835754
TT	0.0831323
Interfax	0.0818622
"Ghana News Agency"	0.0818039
"Thai News Agency"	0.0816688
Politika	0.0810832
"Kyodo News Service"	0.0803492
Itar-Tass	0.0797905
"Sydney Morning Herald"	0.0793626
"Der Spiegel"	0.0792157
KUNA	0.0787713
"Cyprus News Agency"	0.0784785
"Zambia News Agency"	0.0783679
"Daily Times"	0.0782695
"East African Standard"	0.0777752
"National Association of Realtors"	0.0776183
Reuters	0.0775736
"Agence France-Presse"	0.0774173
NTV	0.0771372
B@@	0.0770501
NHK	0.0762302
"Rwanda News Agency"	0.0760492
"Athens News Agency"	0.0755799
SAPA	0.0754228
"U.S. Labor Department"	0.0753992
"Ethiopian Herald"	0.0748329
"Jakarta Post"	0.0739074
"Associated Press of Pakistan"	0.0736609
"Nihon Keizai Shimbun"	0.0721583
"Kenya Times"	0.0721115
dem	0.071382
"Dow Jones Newswires"	0.0712976
"Turkish Daily News"	0.0711522
"Australian Associated Press"	0.0707315
"Nihon Keizai"	0.0702095
"Zimbabwe News Agency"	0.0695361
"Information Center"	0.0688452
"Vietnam News"	0.0687361
INA	0.0682596
AFP	0.068118
"New Nigerian"	0.0679357
"Islamic Republic News Agency"	0.0677866
"Daily Star"	0.0676027
"El Pais"	0.0675051
APP	0.067281
"Daily Nation"	0.0669764
"Tehran Times"	0.0664222
"Ethiopian News Agency"	0.0663762
"Al Hayat"	0.0653319
Sana	0.0653311
"Business Day"	0.0647517
"Radio Uganda"	0.0647355
"Asahi Shimbun"	0.0646389
Maariv	0.0644105
"South China Morning Post"	0.064399
carotene	0.0643021
"British Broadcasting Corporation"	0.0642804
"Press Trust of India"	0.0641415
"Zambia Daily Mail"	0.0639695
Sowetan	0.0639655
"Philippine News Agency"	0.0637488
Hurriyet	0.0627575
Kommersant	0.0625531
PTI	0.0620925
"Post Express"	0.061911
"Financial Mail"	0.0617868
"Iraqi News Agency"	0.0617813
"Vietnam News Agency"	0.06177
"Kuwait News Agency"	0.0616879
angiogenesis	0.0613907
"Kosovo Information Center"	0.0612973
Reforma	0.0610081
"China Youth Daily"	0.0607586
CTV	0.0600533
"Gulf News"	0.0598346
"News Agency of Nigeria"	0.0598238
RNA	0.0597186
Asahi	0.0596292
"Detroit News"	0.0591446
"Yomiuri Shimbun"	0.0590645
demo	0.0590201
"Beijing Youth Daily"	0.0588629
"New Vision"	0.0588354
"Xinhua News Agency"	0.0588161
"Windows @.@"	0.0587435
"The New Vision"	0.0582162
"Iran News"	0.058183
"Jerusalem Media and Communication Center"	0.0580454
polygraph	0.0570491
"El Mundo"	0.057001
al-Hayat	0.0565713
"Antara News Agency"	0.0564085
Aventajado	0.0563734
Haaretz	0.0557715
CNA	0.055701
"Jordan Times"	0.0555971
"Business Weekly"	0.0547942
"Khaleej Times"	0.054654
"Wenhui Daily"	0.0545951
"Alam Al Yom"	0.0545308
"Middle East News Agency"	0.0544678
RealPlayer	0.0542449
"Jerusalem Post"	0.0541681
Quicktime	0.0540377
Manley	0.054025
"Beijing Daily"	0.0537012
"Bangkok Post"	0.0536996
"The Monitor"	0.0536971
Spiegel	0.0534774
"Financial Times"	0.0533524
"Press Trust"	0.0529522
fides	0.0528612
"Statistics Canada"	0.0525912
"Office @@@@"	0.0525734
Yazdi	0.0523776
"China Daily Business Weekly"	0.0523611
Inquirer	0.05236
"Anatolia News Agency"	0.052334
"Daily Mail"	0.0519583
"Conference Board"	0.0510956
p@@	0.0508313
Caldera	0.0505586
Os	0.0503791
weight-loss	0.0503755
sid	0.0501875
"Seattle Times"	0.0499824
PCI	0.0497705
"St. Louis Post-Dispatch"	0.0495764
"South African Press Association"	0.0494024
"East African"	0.0491083
"software package"	0.0491045
"Office @@"	0.048903
"Boston Herald"	0.0487312
"National Post"	0.0487253
Singson	0.0486868
Yomiuri	0.0483035
VHS	0.0482891
"Al Ahram"	0.0482468
OS/@	0.0479114
"Daily Telegraph"	0.0477473
anti-inflammatory	0.0474772
Braille	0.0474441
"Central Bureau of Statistics"	0.0474281
"Yediot Ahronot"	0.0472917
Dominion	0.0472882
"U.S. Census Bureau"	0.0470977
"Orange County Register"	0.0470043
"Le Monde"	0.0468149
Solaris	0.0467848
electrocardiogram	0.0466521
hodgson	0.0461429
shareware	0.0461402
L'Equipe	0.0461051
"Israel Radio"	0.0461044
Al-Ahram	0.0460454
"Economic Daily"	0.0459402
"Windows CE"	0.0458662
nitroglycerin	0.0456478
"Evening Standard"	0.0455382
"vitamin A"	0.0454435
"Christopher Hill"	0.0451245
))
(Beth (desc 4261.4) (sims
Cheryl	0.147405
Eileen	0.14107
Susan	0.125337
Cathy	0.125074
Peggy	0.124743
Vicki	0.124721
Kristin	0.122874
Diane	0.121875
Gail	0.121713
Sonia	0.121152
Teresa	0.121068
Jacqueline	0.120799
Pauline	0.120098
ANN	0.118073
Kathleen	0.117467
Terri	0.116161
Stephanie	0.11464
Dorothy	0.114191
alicia	0.112654
Linda	0.111961
Kathy	0.110332
Nicole	0.110227
Frances	0.109101
Laura	0.108721
Cindy	0.108482
Edith	0.108444
Brenda	0.107978
Nora	0.107917
Lynne	0.107601
Patricia	0.107443
Suzanne	0.106716
Debbie	0.106275
Phyllis	0.106212
Jill	0.106126
Juanita	0.105671
Doris	0.104533
Natalie	0.104242
Valerie	0.104041
Josephine	0.103832
"Azizah Ismail"	0.103657
Michele	0.10346
Barbara	0.103168
becky	0.103096
Nancy	0.102907
Rachel	0.10221
Pam	0.102162
Ashley	0.101161
JoAnne	0.101022
colleen	0.0998253
Ellen	0.0998128
Marian	0.0990194
Margaret	0.0977648
Beatrice	0.0977516
Christina	0.0973888
Evelyn	0.0971265
Louise	0.0970758
Carolyn	0.0969613
Liz	0.0966011
Theresa	0.0964802
Connie	0.096326
Christine	0.0961941
Donna	0.096163
Betsy	0.0953226
Beverly	0.095116
Emily	0.0947236
Tracey	0.0947185
Julie	0.0946199
Susie	0.0943646
gloria	0.0939953
Maureen	0.0939616
Helen	0.0937757
Marlene	0.0937644
Denise	0.0935919
Andrea	0.0929589
Judy	0.0927461
Olga	0.0924102
Elena	0.0921792
Sylvia	0.0919897
Irina	0.0919337
Miriam	0.0915653
Marie	0.0912866
Lydia	0.0908617
Karen	0.0906691
Sophie	0.0898936
"Caroline Kennedy Schlossberg"	0.0894639
Deborah	0.0892214
Lisa	0.0890483
Catherine	0.0889453
Betty	0.0889087
Lucia	0.0887531
Martha	0.0885397
Janet	0.0879099
Amy	0.087824
Lyn	0.087699
Marilyn	0.0876052
Polly	0.0874796
Sandra	0.0874295
Kate	0.0871068
Sheryl	0.087015
Melinda	0.0869398
hazel	0.0867157
Esther	0.0867011
Brooke	0.0866417
Carol	0.0863139
Sally	0.0861412
Maria	0.0861293
Michelle	0.0860561
Jamie	0.0856405
Erica	0.0854916
Jennifer	0.0852937
Anne	0.0849493
Laurie	0.084938
Robin	0.0848401
"Carolyn Bessette Kennedy"	0.0844526
Stella	0.0842945
"Karenna Gore Schiff"	0.0840843
Tipper	0.0840043
Lois	0.0838335
Caroline	0.0838281
Kathryn	0.0837052
Millie	0.0835271
Lori	0.0832381
Sara	0.0832311
Elaine	0.0832028
Leah	0.0830342
Nina	0.0819251
Karenna	0.0818744
Rita	0.0818522
Rebecca	0.0816897
Vanessa	0.0815567
Hilary	0.0815081
Renee	0.0813071
Toni	0.0812722
Agnes	0.0809814
Sarah	0.0805184
Judith	0.0804638
Alison	0.0802741
Shirley	0.0802378
Kimberly	0.0800586
Julia	0.0800289
Heidi	0.0799905
Cherie	0.0799446
Alice	0.0797597
Camille	0.0794398
Melanie	0.0793971
Debra	0.0790397
Angela	0.0785109
Jessie	0.0781108
Norma	0.0779394
Alexandra	0.0777893
Katie	0.0773265
Tina	0.0772476
Meg	0.0769844
Katherine	0.0769526
Marta	0.0768218
Jeanne	0.0765025
Janice	0.076475
Samantha	0.076374
Rhoda	0.0761945
Marianne	0.0759848
Jessica	0.0759532
Eleanor	0.0758327
Erin	0.0756113
Lynn	0.0753726
Paula	0.074913
Mona	0.0748861
Olivia	0.074798
Claire	0.0747892
Pamela	0.0743127
Patti	0.0738604
anna	0.0738061
Monique	0.0734663
Dora	0.0732414
Claudia	0.0726992
Danielle	0.0724581
Chris	0.0721567
Rhonda	0.0720384
Shannon	0.0718135
Elizabeth	0.0712429
Roberta	0.0710388
Elisabeth	0.0709524
Clara	0.0709391
Jackie	0.0707635
Cynthia	0.07043
Leslie	0.070178
pat	0.0701412
Dana	0.0701011
Fran	0.0699526
Lucille	0.069774
Lauren	0.0694236
Marcia	0.0693136
sandy	0.0690827
Ruth	0.0683606
Vera	0.0683448
Stacy	0.0681684
Jane	0.0679694
Wanda	0.0674252
Amanda	0.0672804
Lucy	0.067
Bonnie	0.0668744
))
("Beth Israel" (desc 1732.53) (sims
Dana-Farber	0.11572
Kazhegeldin	0.10506
Massport	0.104809
"Dana-Farber Cancer Institute"	0.0944858
"Housing Authority"	0.0929369
Starwood	0.0926794
Brigham	0.0920458
IAI	0.0915788
SDPC	0.0904846
"Harvard Medical School"	0.0899728
Overnite	0.0885985
"Massachusetts General Hospital"	0.0875129
HCFA	0.0874023
va	0.0864955
"Con Ed"	0.0861684
Grady	0.0847998
"Mayo Clinic"	0.0843741
"Johns Hopkins"	0.0826633
"Koch Industries"	0.082405
Scientific-Atlanta	0.0820583
Biogen	0.0820454
Datek	0.0815585
DEP	0.081248
Lilco	0.0808691
"Culture Ministry"	0.0806323
"Sara Lee"	0.0805931
USEC	0.0792293
"National Cancer Institute"	0.0787916
UC	0.0780895
AIG	0.0780509
Marketspan	0.0772626
Nikko	0.0771358
Cathay	0.0768866
"William Morris"	0.0764225
AMF	0.0762628
"Mount Sinai"	0.0761868
AHP	0.0760007
Gorter	0.0759725
RJR	0.075579
SUNY	0.0755694
"University Hospital"	0.0755682
KONI	0.07518
GPU	0.0750728
"Israeli Foreign Ministry"	0.0746304
SSB	0.0744862
Akamai	0.0742602
PBSI	0.0738494
Nepa	0.0735144
COSCO	0.0732953
PTT	0.0731498
SDB	0.07253
"GE Capital"	0.0724914
Yukos	0.0723171
Transmeta	0.0722724
ExciteAtHome	0.0720192
Georgia-Pacific	0.0717611
SAFY	0.0717152
"British Foreign Office"	0.0715237
"Ford Motor"	0.0712068
"Chronicle Publishing"	0.0707062
Sunbeam	0.0706987
Tenneco	0.0702924
"Public Security Ministry"	0.0700738
"P&AMP;G"	0.0700283
FPL	0.0699531
"Veterans Affairs"	0.0693686
Broderbund	0.0693495
CCE	0.0692368
"Gulf Air"	0.0689999
"Allied Signal"	0.0687563
IEC	0.0686516
MetLife	0.0685445
IDT	0.0683183
"Johnson Space Center"	0.067995
Kinko	0.0678114
maternity	0.067769
Coia	0.0676526
Loral	0.0674561
"Information Ministry"	0.0672475
Hancock	0.0672383
HKFA	0.0672342
"U.S. Soccer Federation"	0.0671745
EOHR	0.0667978
Salomon	0.0667971
"Blue Cross"	0.0666817
Emory	0.06653
"Health Department"	0.0660941
SAA	0.0649414
"Harvard Pilgrim"	0.0648181
KPA	0.0645062
TYCO	0.0643267
"Tony Coelho"	0.0642005
SabreTech	0.0641821
Providian	0.0641407
MSF	0.0641127
Paxson	0.0640842
"American Home"	0.0638943
"Airport Authority"	0.0635695
"St. Luke"	0.0635645
Aetna	0.0634701
Gymboree	0.0633847
"Industry Ministry"	0.0631291
"Downing Street"	0.0631053
dispensary	0.0628242
"State Farm"	0.0628053
"Russian Defense Ministry"	0.0627308
Bristol-Myers	0.0626006
"U.S. Defense Department"	0.0625259
"Home Ministry"	0.0624132
"patent office"	0.0622808
CAAC	0.0621129
MLB	0.062055
CDB	0.0616853
Mayo	0.061665
MGH	0.0616579
"US State Department"	0.0615797
Bridgestone	0.0615565
Lindner	0.0615426
"Bill Romanowski"	0.0614243
RNC	0.0614185
"Transport Ministry"	0.0612517
"medical center"	0.0611316
McKesson	0.0611162
Seagate	0.0610986
"Russian Interior Ministry"	0.0609714
Adelphia	0.0609368
WGBH	0.0608411
Bridgestone/Firestone	0.0606973
DMA	0.0603199
"Dow Chemical"	0.0603189
Espinosa	0.0601265
FIBA	0.0600135
Enron	0.0600091
CIRC	0.0599132
"Salt Lake Organizing Committee"	0.0599093
Portnoy	0.0597472
Wyeth	0.0594939
Daimler	0.0594592
E-Trade	0.0594505
CFTC	0.0593015
"Bell Labs"	0.0592537
"Port Authority"	0.059145
Eximbank	0.0590697
SBC	0.0590103
"Forest Service"	0.0589927
NIH	0.0588889
"Israeli Army"	0.0588375
Pertamina	0.0587019
"Pizza Hut"	0.0585867
"Con Edison"	0.0585789
"Nuclear Regulatory Commission"	0.0585621
ICRC	0.0584702
ACOG	0.0584369
LIFFE	0.0583381
FSA	0.0582228
Kaiser	0.058215
Mukora	0.0580709
LTCB	0.0579394
Lockheed	0.0579367
Hewlett	0.0579335
Bellevue	0.0578634
MBNA	0.0577293
Caltrans	0.0576821
Pepsico	0.057648
"Department of Corrections"	0.0574598
"Pac Bell"	0.0572662
JAL	0.0572451
CSRC	0.0572294
"U.S. Forest Service"	0.0572117
USATF	0.0571584
NHTSA	0.0570948
"HBO &AMP; Co."	0.0570008
"U S West"	0.056985
"Waffle House"	0.0569644
"Hearst Corp."	0.0568678
NHS	0.0568427
"Park Service"	0.0567832
Terra	0.0567563
UTC	0.0567496
SPC	0.0567318
Rodionov	0.0567212
"Baylor College of Medicine"	0.0567006
Dresdner	0.0566909
"Department of Public Safety"	0.0566855
trinity	0.0566516
Instinet	0.0565113
UW	0.0565099
BofA	0.0564714
bombardier	0.0564628
MOFTEC	0.0563015
DMV	0.0562014
UAW	0.056088
UGA	0.0560206
NASD	0.0557873
All-Tech	0.0556788
Bertelsmann	0.0555934
"Best Buy"	0.0555583
"Cleveland Clinic"	0.0554274
Cendant	0.055374
Chiron	0.0553708
))
("Beth Israel Deaconess Medical Center" (desc 2071.12) (sims
"Massachusetts General Hospital"	0.308048
"Albany Medical Center"	0.253046
Brigham	0.191245
"Dana-Farber Cancer Institute"	0.190455
"Cleveland Clinic"	0.170442
"Harvard Medical School"	0.164127
"Mount Sinai Medical Center"	0.151265
"University of Cincinnati"	0.142264
"Memorial Sloan-Kettering Cancer Center"	0.132476
MGH	0.1308
"Tufts University"	0.12988
"Vanderbilt University"	0.119038
"school of medicine"	0.116637
"Rockefeller University"	0.110469
"Harvard School of Public Health"	0.11026
"Baylor College of Medicine"	0.102332
"John F. Kennedy Library"	0.100123
"Wright-Patterson Air Force Base"	0.098022
"Johns Hopkins University"	0.0966218
"Pennsylvania State University"	0.0961273
"Mayo Clinic"	0.0890129
"Urban Institute"	0.0876004
"University of California"	0.0874439
"Arnold Communications"	0.0847088
"Purdue University"	0.0805335
"Washington University"	0.0796403
"Yankee Group"	0.0792901
"medical center"	0.0789972
"Iowa State University"	0.0789438
"University of Toronto"	0.0731074
"General Hospital"	0.072222
endocrinologist	0.0720501
"Gomez Advisors"	0.0715664
"University of Washington"	0.0704859
"Kansas State University"	0.0696983
"National Cancer Institute"	0.0696382
"University of Alabama"	0.0690734
"Carnegie Endowment"	0.0687509
"Fleet Center"	0.0678432
"US District Court"	0.0672074
"University of Minnesota"	0.0666003
"Methodist Hospital"	0.0665318
"Ohio State University"	0.0657185
"George Washington University"	0.0638764
"Georgia State University"	0.0638723
"Mount Sinai"	0.0636316
"University of Iowa"	0.063554
"University of Maryland"	0.0633574
"Emory University"	0.0630405
"University of Pennsylvania"	0.0630369
"Baylor University"	0.0626585
"University of Florida"	0.0623778
"University of Pittsburgh"	0.0620886
"Mount Sinai Hospital"	0.0614937
"Logan International Airport"	0.0608817
"Bell Labs"	0.0607709
"Harvard University"	0.0600569
"R Block"	0.0596885
"Mercy Hospital"	0.0595815
"Northeastern University"	0.0594285
"Macao Government"	0.0591834
"Texas Tech University"	0.0586082
"Union of Concerned Scientists"	0.0581044
"Queens College"	0.058103
"Council on Foreign Relations"	0.0578896
"St. Luke"	0.0578711
"Johns Hopkins"	0.0575727
"Freedom Forum"	0.057484
"University of New Mexico"	0.0574454
"Federal Reserve Bank"	0.0572963
"Suffolk Downs"	0.056976
"Media Lab"	0.0566673
"International Rescue Committee"	0.0562358
"Center for Science"	0.0562148
"National Institutes of Health"	0.0561718
"Kaiser Permanente"	0.0560397
"University of Southern California"	0.0554698
"Putnam Investments"	0.0553691
"Andersen Consulting"	0.0553303
"University of Miami"	0.0549472
"Longwood Cricket Club"	0.0546097
"Prudential Securities"	0.0540594
"Natural Resources Defense Council"	0.0537777
"Logan Airport"	0.053608
"Fidelity Investments"	0.0517621
"International Data Corp."	0.0515495
"Brigham Young University"	0.0514208
"California Institute of Technology"	0.0513846
"University of Illinois"	0.0512153
"University of Arizona"	0.0511726
"T. Rowe Price"	0.0510755
"Gartner Group"	0.0508182
"University of Massachusetts"	0.0507807
"North Carolina State University"	0.0505325
"University of Nebraska"	0.0503022
"Columbia Pictures"	0.0502286
"Department of Motor Vehicles"	0.0502128
"Commonwealth Ministerial Action Group"	0.0499683
"ABN AMRO"	0.0499445
"Cornell University"	0.0497711
"McKinsey &AMP; Co."	0.0496421
"Merrill Lynch &AMP; Co."	0.0495494
"Catholic Charities"	0.0494829
"American Psychological Association"	0.0492373
"Atlanta Thrashers"	0.0491012
"Forrester Research"	0.0490054
"Bosnian Serb Republic"	0.0485923
"America West Airlines"	0.048577
"University of Connecticut"	0.0482546
"Symphony Hall"	0.0482352
"Brandeis University"	0.0481971
"State University of New York"	0.0476235
"Columbia University"	0.0475699
psychotherapist	0.0475504
"U.S. Immigration and Naturalization Service"	0.0471742
"RAND Corp."	0.0470469
"Northwestern University"	0.0469125
WSU	0.0467322
"Congressional Research Service"	0.0467157
"Cambridge University"	0.0465649
Grady	0.0464256
"Saks Fifth Avenue"	0.0463653
"David Irving"	0.0463411
"Conference Board"	0.0462935
"Local @@"	0.0461946
"University of Oklahoma"	0.0461196
"National Hurricane Center"	0.0460229
"International Tennis Federation"	0.0457647
"Olympic Trials"	0.0456408
BBDO	0.0452384
"University of Wisconsin"	0.0451829
"Sydney Organizing Committee"	0.0451405
"U.S. Soccer Federation"	0.0451307
"English Football Association"	0.0447777
CEC	0.0443708
"Cendant Corp."	0.0440619
PricewaterhouseCoopers	0.0439881
"Massachusetts Institute of Technology"	0.0439565
Emory	0.0439537
"University of Utah"	0.0438402
"Israeli Cabinet"	0.0436732
"clinical psychologist"	0.043548
newsman	0.043398
"Simon Wiesenthal Center"	0.0432962
Braswell	0.0429171
WGBH	0.0428961
"University of Chicago"	0.04281
"Federal Reserve Bank of New York"	0.04254
"Johnson Space Center"	0.0425116
"psychiatric hospital"	0.0424367
Lorillard	0.0423813
"Smith College"	0.0423302
"Hambrecht &AMP; Quist"	0.0423136
"Michael Murphy"	0.0422419
"Donaldson, Lufkin &AMP; Jenrette"	0.0422085
Penders	0.042072
"Credit Suisse First Boston"	0.0419475
"Chinese University of Hong Kong"	0.0417034
CMAG	0.0416863
"University of Arkansas"	0.0414979
"newspaper editor"	0.041355
"Thermo Electron"	0.0413311
"University of Rochester"	0.041295
"SmithKline Beecham"	0.0412062
"military hospital"	0.0411658
Edgbaston	0.0411634
"Temple University"	0.041107
"Auburn University"	0.0409667
"Health Department"	0.0409481
IDC	0.0408876
"Ritz-Carlton Hotel"	0.040882
"Ethiopian Airlines"	0.0408757
Brookhaven	0.0408036
"newspaper publisher"	0.0408023
"Bell Laboratories"	0.040801
epidemiologist	0.0405699
"Hearst Corp."	0.040468
"Museum of Natural History"	0.0401646
"Goldman, Sachs &AMP; Co."	0.0401317
crematorium	0.0400895
))
(bethel (desc 2756.2) (sims
Farmington	0.160514
Uniondale	0.14315
Middletown	0.141275
Hempstead	0.137518
Lewiston	0.1295
Wallingford	0.122326
Trumbull	0.120613
Bloomfield	0.118862
Skaneateles	0.116376
Braintree	0.115951
"New Canaan"	0.115578
Norwalk	0.11422
Greenwich	0.112124
MINEOLA	0.109627
Waterbury	0.109618
"Garden City"	0.107754
Wilton	0.106355
Chatham	0.106164
"White Plains"	0.105694
Poughkeepsie	0.104505
Stamford	0.102845
Westport	0.102711
Elmira	0.101761
Jamestown	0.0999401
Princeville	0.0993174
Wilmington	0.0991852
"High Point"	0.0991796
Bedford	0.0991615
Pittsfield	0.0990787
Waltham	0.0983017
Fairfield	0.0981921
Groton	0.0977515
"Saratoga Springs"	0.0976816
Salisbury	0.0976283
Windham	0.0951017
Tarrytown	0.0947668
Norwich	0.0947016
ASHEVILLE	0.0943006
Huntington	0.0941723
Peekskill	0.0938275
Holyoke	0.0929004
Englewood	0.0922129
Longview	0.0919422
Herndon	0.0913047
"Fort Collins"	0.0911384
"East Hampton"	0.0899861
Riverhead	0.0895385
"East Orange"	0.0890883
Morristown	0.0889749
Falmouth	0.0883976
Pelham	0.0880913
Greenville	0.088032
Ithaca	0.0871914
"Highland Park"	0.0871509
Freeport	0.0868631
Chappaqua	0.0863755
Covington	0.0863464
Storrs	0.0861597
Lawrenceville	0.0860642
Framingham	0.085952
TARBORO	0.0859508
Williamsport	0.0855251
Schenectady	0.0849745
Woodbridge	0.0845952
"SIERRA BLANCA"	0.0842395
Hartford	0.084194
Rockville	0.0838168
"Mount Vernon"	0.0836542
Brookline	0.0834107
"New Haven"	0.083305
"New London"	0.0831161
Rockport	0.0830796
Chester	0.0826476
Bridgehampton	0.0824733
Bridgewater	0.0822724
Westbrook	0.0822532
Rockland	0.08214
Waterville	0.0820675
Yonkers	0.0818483
Windsor	0.0815225
"Great Neck"	0.0813361
Marjayoun	0.0810373
Arlington	0.0809035
"East Rutherford"	0.0806165
Montclair	0.0804333
Winston-Salem	0.0803764
Clifton	0.0802164
Dundalk	0.0801823
Winchester	0.0800325
"Long Island City"	0.0800153
"Washington D.C."	0.0799292
Plattsburgh	0.0798201
"Hyde Park"	0.0795156
"Santa Monica"	0.0793561
Camden	0.0793081
Lexington	0.0792993
Beersheba	0.0792611
Watertown	0.0791162
Cambridge	0.0787237
Northampton	0.078645
Carmel	0.0783426
"Fairfax County"	0.0782796
Stratford	0.0781964
Utica	0.0781449
Cupertino	0.077848
Madison	0.0777364
Kennebunkport	0.0773791
Hillsboro	0.0772675
Charlestown	0.0772593
Durham	0.0771248
"Chapel Hill"	0.0767056
Americus	0.0765844
Brockton	0.0761631
"Silver Spring"	0.0756954
Montauk	0.0755839
Jericho	0.0755742
"New Rochelle"	0.0754095
Salem	0.0749309
Dover	0.0748409
Cheshire	0.0747126
BRIGHTON	0.0745286
Newark	0.074428
Cordova	0.0741835
Bangor	0.0740853
Bridgeport	0.0734237
Milford	0.0733294
Danbury	0.0730267
Darien	0.0729249
Woburn	0.0726794
"Mill Valley"	0.0722527
Honolulu	0.0720936
Nabatiyeh	0.0719184
Medford	0.0719092
Danville	0.0715612
Riverdale	0.0713002
Nome	0.070931
Claremont	0.0695029
Stillwater	0.069282
Naperville	0.0692155
Rafah	0.0690872
Thomasville	0.068963
Warwick	0.0687988
"Research Triangle Park"	0.0686815
Pleasantville	0.068392
Vernon	0.0683688
Shepherdstown	0.0682707
Youngstown	0.0682638
Brentwood	0.068039
"Santa Ana"	0.0678653
Lubbock	0.0678182
"Long Beach"	0.0676769
Portsmouth	0.0676291
Amherst	0.0674983
"La Jolla"	0.0673139
Paducah	0.0672754
"Ann Arbor"	0.0671749
UNDATED	0.0671125
rye	0.0669026
Westfield	0.0666111
"West Palm Beach"	0.0665974
Exeter	0.0663898
"Palo Alto"	0.0663748
Harrisburg	0.0663616
Latham	0.0660395
"Union City"	0.0659588
Charlottesville	0.0657173
Hackensack	0.0656353
Alexandria	0.0654802
Evanston	0.0654783
Reston	0.0653495
Leskovac	0.0653359
CALIF	0.0652833
Brookhaven	0.0650489
Ghent	0.0650077
"Fall River"	0.064946
Ridgewood	0.064943
Haicheng	0.064922
Antioch	0.0646378
Cornwall	0.0640285
Babylon	0.063936
Wildwood	0.0638728
Hebron	0.0637522
Woodstock	0.063638
Berne	0.0635797
Concord	0.0635229
canton	0.0634909
Chamonix	0.0634371
Missoula	0.0631737
"Lake Placid"	0.0629416
Georgetown	0.0627735
oceanside	0.0627444
Trieste	0.0627298
Lucerne	0.0624181
"Thousand Oaks"	0.0623765
Carlsbad	0.0622797
Valhalla	0.0622672
riverside	0.0621095
"Walnut Creek"	0.0620828
"New Bedford"	0.0618984
Izmit	0.0617198
))
(Bethesda (desc 5543.47) (sims
Rockville	0.261998
"Silver Spring"	0.23215
Reston	0.167837
Potomac	0.126565
"Thousand Oaks"	0.120996
Stamford	0.120879
Tarzana	0.119134
Montclair	0.118731
Fairfax	0.118624
"Palo Alto"	0.11689
"El Segundo"	0.116792
Riverdale	0.116355
"College Park"	0.116037
Wheaton	0.115201
"Overland Park"	0.114948
LAKEWOOD	0.113237
Evanston	0.113047
Medford	0.112688
Brentwood	0.112338
Morristown	0.112187
"White Plains"	0.111554
Cambridge	0.111091
Englewood	0.110931
Waltham	0.110053
Needham	0.109419
Burlington	0.108949
Encino	0.10851
"Walnut Creek"	0.108285
Norcross	0.1074
"Woodland Hills"	0.107349
Framingham	0.104718
"South San Francisco"	0.10404
Frederick	0.102964
"Mountain View"	0.102249
Chappaqua	0.10194
Lexington	0.101811
"Palm Beach Gardens"	0.10131
"New Rochelle"	0.099105
Kensington	0.0989539
"Chevy Chase"	0.0974198
Annapolis	0.0972223
Westport	0.0970963
"Santa Monica"	0.0960987
Cupertino	0.0957258
"Westlake Village"	0.094996
"Newport Beach"	0.0949373
McLean	0.0933454
Sunnyvale	0.0926848
"West Palm Beach"	0.092424
Greenwich	0.0919072
Glendale	0.091329
"Research Triangle Park"	0.0905301
Arlington	0.0899109
Salisbury	0.0897176
"Menlo Park"	0.0894229
"Sherman Oaks"	0.0892447
"San Rafael"	0.0885528
"Simi Valley"	0.0875121
Duluth	0.0875077
Reseda	0.0874524
Herndon	0.0870319
"East Orange"	0.0867396
Sausalito	0.085463
Ridgewood	0.0854626
"La Jolla"	0.0853477
"Fort Lauderdale"	0.0845775
Carmel	0.0842977
Chatsworth	0.0840657
"Santa Rosa"	0.0837172
"Santa Clara"	0.0836532
"Boynton Beach"	0.0836223
Deerfield	0.0833393
Tarrytown	0.0833323
Sarasota	0.0832059
Redmond	0.083084
Burbank	0.0817183
"Santa Barbara"	0.081715
Stockbridge	0.0816915
"Fort Lee"	0.0816718
Newton	0.0816425
"Chapel Hill"	0.0812777
"New Haven"	0.0811823
Berkeley	0.0806803
Aberdeen	0.0806597
Greenville	0.0799228
"Redwood City"	0.0798466
Naperville	0.0794285
"West Orange"	0.0793924
Wellesley	0.0792481
Princeton	0.0790034
Bedford	0.0787735
"San Mateo"	0.0785341
Emeryville	0.0781229
Pasadena	0.0777122
"Montgomery County"	0.0775113
Tempe	0.0775028
Hempstead	0.0773673
Cumberland	0.0772285
"Van Nuys"	0.076679
Plano	0.0764006
Concord	0.0762837
Bradenton	0.0762645
Farmington	0.0762307
Amherst	0.0760214
Calabasas	0.0757059
Surrey	0.0752025
Bellevue	0.0748685
"Fort Collins"	0.0747479
Alpharetta	0.0745366
Alexandria	0.0743565
Wallingford	0.0739427
Norwalk	0.0739118
"Boca Raton"	0.0738679
"Paradise Valley"	0.073654
Middletown	0.0735109
TRENTON	0.0734618
ASHEVILLE	0.073165
"Ann Arbor"	0.072771
"Westchester County"	0.0725681
"Studio City"	0.0725236
"Delray Beach"	0.0723837
Marietta	0.0723803
Hialeah	0.0723766
Tuscaloosa	0.0722975
Burlingame	0.072187
Austin	0.0718231
Brookline	0.0717318
Madison	0.0717299
Lansing	0.0713147
UNDATED	0.0712105
Fairfield	0.0707303
"Bel Air"	0.0702506
Darien	0.0701783
Charlottesville	0.0700793
Missoula	0.0694125
Quincy	0.0693572
"Mount Vernon"	0.0692475
Carlsbad	0.0692331
Lawrenceville	0.0685796
ATTLEBORO	0.0685255
Braintree	0.0681484
"Jersey City"	0.06803
Malden	0.0679281
Dearborn	0.067785
Torrance	0.0677837
Wilmington	0.0672559
Irvine	0.0671704
Westfield	0.0668964
Newark	0.0666023
"North Hollywood"	0.0665761
Provo	0.0665725
"Saratoga Springs"	0.0664106
"Colorado Springs"	0.066408
"Manhattan Beach"	0.0662675
Rochester	0.0661719
Watertown	0.0661526
Yonkers	0.0660454
Honolulu	0.0655352
Port-au-Prince	0.0654988
Nashville	0.0654504
Woburn	0.0653152
"Huntington Beach"	0.0652976
Northampton	0.0652327
Winston-Salem	0.0652011
Worcester	0.0651169
"Culver City"	0.0648751
Kingston	0.0647982
Troy	0.0642389
"New Canaan"	0.0639299
"East Hampton"	0.0639187
"Mill Valley"	0.0639026
"Daytona Beach"	0.0638083
Tampa	0.0636215
Fresno	0.0632918
Charleston	0.0632671
Brunswick	0.0631928
"Cherry Hill"	0.063139
Falmouth	0.0629871
"Round Rock"	0.0628508
"Fort Dix"	0.0628076
Scranton	0.0627232
Bloomington	0.0626634
Durham	0.0626629
"Washington D.C."	0.0625776
"Beverly Hills"	0.0625092
"Santa Fe"	0.0622825
Prizren	0.0614826
"St. Paul"	0.0613822
Huntsville	0.0610586
Dublin	0.0610527
Alameda	0.0609899
"Pacific Palisades"	0.0606889
"Garden City"	0.0606226
Chattanooga	0.0604444
Columbus	0.0603919
"St. Petersburg"	0.0602113
"Virginia Beach"	0.0601911
Akron	0.0601382
"Greenwich Village"	0.0601251
Albany	0.060112
))
(Bethlehem (desc 16541.7) (sims
Nablus	0.278387
Ramallah	0.247382
Jenin	0.218553
Jericho	0.215744
Hebron	0.189975
"Gaza Strip"	0.165706
Gaza	0.152607
"Tel Aviv"	0.129175
Haifa	0.128152
JERUSALEM	0.127919
Nazareth	0.124667
"Gaza City"	0.117519
Ashkelon	0.107131
"West Bank"	0.104436
"East Jerusalem"	0.10165
PEC	0.0972149
Gudermes	0.096073
"Holy Land"	0.0947153
Dili	0.0930921
"St. Petersburg"	0.0927167
Lhokseumawe	0.0925478
Istanbul	0.0917489
Belfast	0.0915337
Pristina	0.0912474
Greenville	0.090355
Kukes	0.0900883
Havana	0.0900511
Santiago	0.0897385
"Old City"	0.0894128
Scranton	0.0890736
CARACAS	0.0888201
BUCHAREST	0.0879152
BOGOTA	0.0878508
Dushanbe	0.0872476
"Des Moines"	0.0872001
WARSAW	0.0870802
Rome	0.0869918
Galilee	0.0856769
Rochester	0.0849255
"Mexico City"	0.0847401
Port-au-Prince	0.0846671
Prizren	0.0844607
Alexandria	0.0844604
Amman	0.0843508
TEGUCIGALPA	0.0843068
Izmit	0.0837111
Hillsboro	0.0833933
Naples	0.0830785
"Buenos Aires"	0.0830461
Ur	0.0827723
"San Juan"	0.082539
Orahovac	0.0820174
Grozny	0.0818791
Berlin	0.0817142
Juba	0.0811489
Worcester	0.0807062
Beirut	0.0805284
Dublin	0.0805
ATHENS	0.0804567
BUDAPEST	0.0803957
Laredo	0.0803902
"Oklahoma City"	0.0802455
Birmingham	0.0802078
Wallingford	0.0800436
Springfield	0.0800048
Plattsburgh	0.079936
KIEV	0.0799271
"Manger Square"	0.0798119
Hempstead	0.079765
"Abu Dis"	0.0797534
"Sao Paulo"	0.0796142
"New Orleans"	0.0790214
Marjayoun	0.0789031
Vukovar	0.0788923
Honolulu	0.0788538
Monrovia	0.0787884
Manchester	0.0787509
Portsmouth	0.0785395
Sarajevo	0.0785384
Decani	0.0784922
Ambon	0.0783663
Tehran	0.0782458
Urosevac	0.0781979
Algiers	0.0779546
Albany	0.0777994
Djakovica	0.0776507
Nabatiyeh	0.0776229
"Ho Chi Minh City"	0.0775369
Charleston	0.0774811
"Banja Luka"	0.0774429
Akron	0.0773804
Arlington	0.077373
Princeville	0.0773511
Wilmington	0.0773033
Warri	0.0772785
Jaffna	0.0769164
Londonderry	0.0768838
Baidoa	0.0768563
Hartford	0.0766815
Harrisburg	0.0765338
Tucson	0.0765127
TRENTON	0.0765109
Mitrovica	0.0763372
"Kosovska Mitrovica"	0.0762983
Memphis	0.0759897
"Cape Town"	0.0758674
Larnaca	0.0758324
Gnjilane	0.0757556
Uvira	0.0753509
Taipei	0.0752534
Hanover	0.0749112
TIRANA	0.0748569
Posoltega	0.0747939
Matamoros	0.0745302
Ensenada	0.0745214
Jasper	0.0744031
"Fort Worth"	0.0743606
Claremont	0.0743485
Jezzine	0.0742509
Lubbock	0.0740462
CAIRO	0.0740316
Lumbini	0.0739183
Portadown	0.0739146
Mombasa	0.0738109
Malisevo	0.0737439
Makeni	0.0736019
Philadelphia	0.0735805
Raleigh	0.0735365
Tijuana	0.0734112
"Little Rock"	0.0733379
LAKEWOOD	0.0732968
Lhasa	0.073294
Minsk	0.0731946
Kizlyar	0.0730873
Lahore	0.0730613
Quito	0.0729803
Najaf	0.0729381
Newark	0.0729163
Baku	0.0729028
Jakarta	0.0728221
Poughkeepsie	0.0726871
Camden	0.0725237
Laramie	0.0723791
Damascus	0.0722841
Rafah	0.0722729
"Suva Reka"	0.0722038
Prague	0.0721585
"Phnom Penh"	0.071944
Tuzla	0.0719256
Greenwich	0.071862
Pasadena	0.0718539
"Key West"	0.0718052
ZAGREB	0.0715283
Vilnius	0.0713512
Hyderabad	0.0711592
Austin	0.0711011
"Kuala Lumpur"	0.0710192
Juarez	0.0709831
Jamestown	0.0709104
Nashville	0.0707475
Kuito	0.0705353
PALERMO	0.0704294
Spokane	0.0703202
Moscow	0.0702461
"El Paso"	0.0699728
MAPUTO	0.0699449
Walkerton	0.0698389
Kisangani	0.0693122
Krakow	0.069123
"Saratoga Springs"	0.0690176
"Santo Domingo"	0.0689729
Golcuk	0.0689289
Brcko	0.0689287
Cartagena	0.0689136
"San Salvador"	0.0688574
Luanda	0.0688403
Perth	0.0685918
Tripoli	0.0685633
"Atlantic City"	0.0684872
Phoenix	0.0684845
Taba	0.068465
Qom	0.0684241
"New York City"	0.068387
Junik	0.0683149
Flagstaff	0.0682822
"Guatemala City"	0.0682366
Chappaqua	0.0682332
CANCUN	0.0682032
Vienna	0.0681588
Kismayu	0.068114
Mankulam	0.0680856
MELBOURNE	0.0680841
Northampton	0.0680688
Columbus	0.0680343
Milwaukee	0.0678375
Peshawar	0.0678143
Williamsport	0.0678065
Florence	0.0678061
Cacak	0.0677789
Elmira	0.0677386
))
(Betis (desc 4432.14) (sims
Espanyol	0.254351
Alaves	0.244362
Tenerife	0.231797
"Real Sociedad"	0.218795
Salamanca	0.205036
Celta	0.201483
Zaragoza	0.191856
Villareal	0.178679
Extremadura	0.175363
Oviedo	0.168335
Valladolid	0.168214
Valencia	0.165691
Mallorca	0.162479
"Athletic Bilbao"	0.158075
Necaxa	0.152667
Salernitana	0.147903
Anderlecht	0.146584
Atletico	0.14463
Santander	0.144316
"Real Betis"	0.143741
"Borussia Moenchengladbach"	0.128341
"Celta Vigo"	0.126697
"Deportivo La Coruna"	0.125158
"Atletico Madrid"	0.124666
Kaiserslautern	0.123412
Udinese	0.122945
"Velez Sarsfield"	0.122443
Schalke	0.121214
Venezia	0.120583
Benfica	0.118912
"Red Star"	0.118884
Leverkusen	0.118569
"FC Barcelona"	0.117827
"Borussia Dortmund"	0.117568
Penarol	0.116938
"Slavia Prague"	0.116791
Flamengo	0.116271
Galatasaray	0.116243
AEK	0.115295
Bilbao	0.114013
Olimpia	0.113546
"Olympique Marseille"	0.113131
Brondby	0.112901
Independiente	0.112434
Spartak	0.112298
Bayern	0.111847
"Real Madrid"	0.110652
corinthian	0.110202
Besiktas	0.110202
Heerenveen	0.109835
"San Lorenzo"	0.109323
Shenhua	0.108908
"Jubilo Iwata"	0.108649
"Newcastle United"	0.10795
Sevilla	0.107724
Bastia	0.107216
Feyenoord	0.106456
Cruzeiro	0.10639
Palmeiras	0.105201
"PSV Eindhoven"	0.104776
Fiorentina	0.104186
"Leicester City"	0.103942
"VfL Wolfsburg"	0.102393
Torino	0.102127
Gremio	0.101832
Wolfsburg	0.101265
"Coventry City"	0.101199
Barcelona	0.100768
Rosenborg	0.10002
"Croatia Zagreb"	0.0989981
Empoli	0.0987062
Perugia	0.0986578
Parma	0.0982797
Lecce	0.0979504
Tottenham	0.0977533
Porto	0.0972746
Freiburg	0.0964197
Everton	0.0963309
Watford	0.0960561
Fenerbahce	0.095787
Fulham	0.0952516
"Paris St Germain"	0.0941431
"Schalke @@"	0.0935884
MetroStars	0.0923763
"Guangdong Hongyuan"	0.0912875
Hongyuan	0.0911318
Charlton	0.090848
Obilic	0.0907484
"Nottingham Forest"	0.0903583
Metz	0.0895462
Inter	0.0885177
"River Plate"	0.087401
Estudiantes	0.0873496
Dortmund	0.0871285
Ajax	0.0865754
Sunderland	0.0865333
Ilie	0.0864217
Sampdoria	0.0859814
"Werder Bremen"	0.085645
Middlesbrough	0.0856032
Olympiakos	0.0846458
"Colo Colo"	0.0844739
Atalanta	0.0841682
Coventry	0.0838314
"Chinese Army"	0.0838091
"Shanghai Shenhua"	0.0832532
Rostock	0.0826791
Newcastle	0.0819489
"Blackburn Rovers"	0.0818495
"Leeds United"	0.0813474
"Bayern Munich"	0.0811934
"Partizan Belgrade"	0.0810815
"Bradford City"	0.0806707
Napoli	0.0801925
Blackburn	0.0796273
"Dalian Wanda"	0.079587
Nacional	0.0789894
"AEK Athens"	0.078847
Panathinaikos	0.0783508
"Adrian Voinea"	0.07812
"Bayer Leverkusen"	0.0780124
"Deportivo Coruna"	0.0777401
Cagliari	0.0775025
"American Chanda Rubin"	0.0774175
Berasategui	0.0772766
Piacenza	0.0770295
"Guangzhou Apollo"	0.0768671
Deportivo	0.0768055
Vicenza	0.0763566
Meligeni	0.0759346
"Derby County"	0.0757141
"VfB Stuttgart"	0.0756106
Zamalek	0.0755635
"Boca Juniors"	0.0752877
Auxerre	0.0752774
"Spartak Moscow"	0.074314
Boca	0.0741618
"Dynamo Kiev"	0.0737142
"AC Milan"	0.0736843
Leicester	0.0733911
Maribor	0.0728952
"Elena Likhovtseva"	0.0728278
Southampton	0.0723284
"Tottenham Hotspur"	0.0721213
"Galo Blanco"	0.0721208
Vacek	0.0713225
"Patty Schnyder"	0.0711329
"Glasgow Rangers"	0.0706871
"Hertha Berlin"	0.0706346
"Kenneth Carlsen"	0.0704916
"Qingdao Hainiu"	0.0699968
Schett	0.0697383
Liverpool	0.0696232
PSV	0.0691641
Madrid	0.0690049
"Albert Costa"	0.068897
"Dominique Van Roost"	0.0686414
"Joannette Kruger"	0.0685304
Hainiu	0.0682402
"Arantxa Sanchez-Vicario"	0.0681839
Wilander	0.0681229
"Crystal Palace"	0.0680051
Andorra	0.0680025
"Francisco Clavet"	0.0679049
Bologna	0.0678664
Bari	0.0677729
Raja	0.0676673
"Mariano Puerta"	0.0675074
"Albert Portas"	0.0675003
"Wayne Black"	0.067471
PAOK	0.0673652
"Inter Milan"	0.0672963
"West Ham United"	0.066914
"Davide Sanguinetti"	0.0666452
Habsudova	0.0665246
"Alberto Berasategui"	0.0664875
Juventus	0.0664693
"Olympiakos Piraeus"	0.066415
"Amy Frazier"	0.0661519
"Sergi Bruguera"	0.0661353
"West Ham"	0.0659498
Clavet	0.0656587
"Richard Fromberg"	0.0654447
Duisburg	0.0653012
Roma	0.0652314
Vitesse	0.065191
Bruguera	0.0651544
"Sturm Graz"	0.0647042
"Daniel Nestor"	0.0646874
Dosedel	0.0646151
"Scott Draper"	0.0645734
"devil ray"	0.0642243
"Tommy Haas"	0.0641613
"Carlos Costa"	0.0639324
"Marat Safin"	0.0639302
Internazionale	0.063864
Gustafsson	0.0638388
"Los Angeles Galaxy"	0.0637442
Edberg	0.0636463
Nantes	0.0632909
))
(betrayal (desc 24794.2) (sims
jealousy	0.126615
infidelity	0.109956
hypocrisy	0.108046
abuse	0.100542
deception	0.100467
deceit	0.100027
treachery	0.0995806
sin	0.0989396
humiliation	0.0950661
hatred	0.0917301
intrigue	0.0900612
despair	0.0887698
dishonesty	0.0886291
shame	0.0883728
greed	0.0882672
cruelty	0.0875575
injustice	0.0874258
provocation	0.086558
embarrassment	0.0865464
alienation	0.0857647
abandonment	0.0851418
insult	0.0849157
adultery	0.084864
breach	0.0845619
oppression	0.0838589
brutality	0.0833863
persecution	0.0827485
violation	0.0826021
anguish	0.0818114
loneliness	0.0816839
indiscretion	0.0815839
tragedy	0.0813113
indignity	0.0807448
arrogance	0.080611
neglect	0.0799686
evil	0.0799686
affront	0.079875
revenge	0.0794222
corruption	0.079153
bitterness	0.0790914
sorrow	0.0789226
murder	0.0781897
disappointment	0.0781833
manipulation	0.0781083
disgrace	0.0778267
stupidity	0.077634
aggression	0.077593
heartbreak	0.0773767
victimization	0.0772692
blackmail	0.0772289
sadness	0.0768762
lie	0.0767365
failure	0.0759536
frustration	0.0758438
disloyalty	0.0757412
harassment	0.0757064
guilt	0.0756814
grief	0.0753054
outrage	0.0751721
intimidation	0.0750358
lust	0.0750112
ignorance	0.0748944
horror	0.074893
violence	0.0748886
vindication	0.0747313
conspiracy	0.0744732
infringement	0.0741197
anger	0.0739785
rage	0.0736995
misconduct	0.0736928
loyalty	0.0735926
hardship	0.0732239
cover-up	0.0728804
torture	0.0726216
misunderstanding	0.0725231
repression	0.0722121
selfishness	0.0708281
folly	0.0705531
malice	0.0703935
terror	0.0702623
desperation	0.070115
rejection	0.0699887
rape	0.0694325
helplessness	0.0689404
impropriety	0.0686752
redemption	0.0682967
insecurity	0.068263
transgression	0.0680046
vendetta	0.0677571
enmity	0.0675706
triumph	0.0672712
mistrust	0.0671826
behavior	0.0669837
subversion	0.0669457
pain	0.0668895
disillusionment	0.0668631
incest	0.066843
negligence	0.0664421
unfairness	0.0663278
suffering	0.0662955
pride	0.0659764
sabotage	0.0658905
misery	0.0657378
envy	0.0656019
incompetence	0.0655428
crime	0.0654827
passion	0.0653511
intolerance	0.0652829
confusion	0.0652788
atrocity	0.065271
mistake	0.064912
prejudice	0.0645135
discrimination	0.0642777
bribery	0.0640643
interference	0.0639033
suicide	0.0636008
ambition	0.0635091
extortion	0.0632876
misdeed	0.0632853
denial	0.063217
distortion	0.0631772
fraud	0.0630973
embodiment	0.0630922
wrongdoing	0.0630474
racism	0.0629796
"child abuse"	0.0628643
slap	0.062834
longing	0.0628305
powerlessness	0.0626684
paranoia	0.0626374
affirmation	0.062599
misbehavior	0.0625572
divorce	0.0625356
exploitation	0.0624891
anxiety	0.0624732
espionage	0.0624249
hopelessness	0.0622311
deprivation	0.0621562
opportunism	0.0621271
emptiness	0.0618134
treason	0.0617973
theft	0.0615763
bigotry	0.061461
resentment	0.0614535
catastrophe	0.0614034
retribution	0.0612475
blasphemy	0.0611815
"double standard"	0.0611723
trauma	0.0609423
cowardice	0.0607664
heresy	0.060692
contradiction	0.0606493
joy	0.0606283
Sacrifice	0.0606197
inferiority	0.0604931
distrust	0.0604411
cynicism	0.0604276
mistreatment	0.0604268
mismanagement	0.0603016
setback	0.0602806
sellout	0.0602202
happiness	0.0599415
slander	0.0598722
traitor	0.0598595
yearning	0.0597985
perversion	0.0597962
feeling	0.0596481
inhumanity	0.0595572
vengeance	0.0595569
criminality	0.0595298
blunder	0.0594878
forgiveness	0.0594189
scandal	0.0593855
madness	0.0593442
threat	0.0592774
seduction	0.0591415
regret	0.0590092
Romance	0.058952
shock	0.0589371
animosity	0.0588189
shortcoming	0.0587274
travesty	0.0582846
nepotism	0.0582812
evasion	0.058181
intimacy	0.0580302
slight	0.0578636
cleansing	0.0576708
misstep	0.0575447
rivalry	0.0574725
kidnapping	0.0574193
perjury	0.0572939
insensitivity	0.0572219
hostility	0.0571662
terrorism	0.0571164
angst	0.0570777
"breach of trust"	0.057069
illusion	0.0570647
killing	0.0567283
assault	0.0567175
anti-Semitism	0.0567011
))
("Betsey Johnson" (desc 1336.79) (sims
"Alexander McQueen"	0.155696
"John Bartlett"	0.151279
"Helmut Lang"	0.146683
"Tommy Hilfiger"	0.121389
eyewear	0.121146
"Bill Blass"	0.119507
Valentino	0.114383
"Donna Karan"	0.103845
"Ralph Lauren"	0.103141
"Miuccia Prada"	0.101018
"Bergdorf Goodman"	0.0963143
"Isaac Mizrahi"	0.0940617
Renta	0.0932905
"Giorgio Armani"	0.0922953
"Calvin Klein"	0.0877967
Gaultier	0.0806906
"Marc Jacobs"	0.0782081
"John Galliano"	0.0776017
Nordstrom	0.0752421
Clothier	0.0740014
"Yves Saint Laurent"	0.0716941
"Gianni Versace"	0.0684972
Saks	0.0673551
Chadwick	0.0656971
Kimbell	0.0646137
Galliano	0.0645879
COUTURE	0.0641866
Limbaugh	0.0635707
Yamamoto	0.0623749
"Michael Kors"	0.0602144
"Tom Ford"	0.059648
"Christian Lacroix"	0.0581019
NBC-TV	0.057852
HILFIGER	0.0570126
Applegate	0.0564335
McQueen	0.0560168
Moma	0.0546488
"Christian Dior"	0.0541917
"Saks Fifth Avenue"	0.0538867
Dior	0.0538722
"Whitney Museum"	0.0534984
Lagerfeld	0.0531101
"Don Imus"	0.052334
Imus	0.0507494
Karan	0.0506801
Winfrey	0.0505842
"Saint Laurent"	0.0494335
Armani	0.0494174
"Lord &AMP; Taylor"	0.0489313
"Frederick Law Olmsted"	0.0481612
"Dolce &AMP; Gabbana"	0.0481127
Kilborn	0.047963
"Johnny Carson"	0.0477447
Ingraham	0.0472164
"Howard Stern"	0.0466414
Olbermann	0.0465477
"Jenny Jones"	0.0465347
Streisand	0.046468
"Liz Claiborne"	0.0463188
Cunard	0.0462468
"Estee Lauder"	0.0461174
Dubus	0.0457425
Bloomingdale's	0.0457293
Mizrahi	0.045568
Filene	0.0453426
"Barneys New York"	0.0450699
DKNY	0.0443168
cabbie	0.0431737
esprit	0.0430489
Boller	0.0427131
Schlessinger	0.0425461
Wildhorn	0.0421148
"classical ballet"	0.0419808
menswear	0.0416902
"skin care"	0.0416873
Sheets	0.0414764
housewares	0.0413371
Metreon	0.0411875
Theo	0.0408683
TNN	0.0405882
Chanel	0.0405139
Eldred	0.0404041
"Board of Elections"	0.040085
))
(Betsy (desc 2672.89) (sims
alicia	0.131262
Suzanne	0.128493
Kristin	0.122726
Eileen	0.120172
Cheryl	0.117207
Diane	0.115863
Olga	0.114179
Margaret	0.110294
Pauline	0.110204
Stephanie	0.109892
Cathy	0.109821
Jacqueline	0.109681
Irina	0.109567
Vicki	0.109449
Debbie	0.10837
Rachel	0.107306
JoAnne	0.107044
Valerie	0.106497
Pam	0.105481
Tracey	0.103096
Peggy	0.102248
Beverly	0.10223
Gail	0.102164
Christine	0.101381
Lynne	0.101284
Polly	0.100852
Maureen	0.100754
Cynthia	0.100354
Kathy	0.100119
Brenda	0.099972
Sonia	0.0996323
Deborah	0.0986664
Debra	0.0973262
Susan	0.0971047
Andrea	0.0968414
Billie	0.0965904
Johanna	0.0963908
Brooke	0.0959492
Kathleen	0.0955745
Patricia	0.095503
Melinda	0.0954528
Beth	0.0953226
Marta	0.0934507
Frances	0.0930903
Heidi	0.0930696
Nina	0.0929647
Renee	0.0928732
Karenna	0.0912559
Laura	0.0904896
Josephine	0.0901748
Carolyn	0.0900372
Donna	0.0895106
Cindy	0.0894413
Olivia	0.089107
Sheryl	0.0889659
Camille	0.0882785
Lorraine	0.088135
Patti	0.0874043
Lyn	0.0872073
Marlene	0.0869743
Julie	0.086859
Monique	0.0862873
Miriam	0.0862444
Evelyn	0.0861883
Erin	0.0860708
Nora	0.0860517
Doris	0.0854737
Barbara	0.0852488
"Karenna Gore Schiff"	0.0851897
Michelle	0.0851433
Jennifer	0.0849913
Phyllis	0.0847499
Theresa	0.0836758
Lori	0.0835386
Dorothy	0.0832016
Juanita	0.0824282
Sylvia	0.0821114
Hadassah	0.0820057
Katie	0.081871
Lisa	0.0812885
Jill	0.0812388
Jamie	0.0806925
Michele	0.0802427
Nicole	0.080127
Carol	0.0800883
Jeanne	0.080082
Judy	0.0799908
Laurie	0.0788468
Millie	0.0787761
Sally	0.0784978
Christina	0.078146
Cherie	0.0780089
Nat	0.0779819
Marian	0.0772632
Kathryn	0.0770224
Robin	0.0763826
Beatrice	0.0763819
Nancy	0.0763164
Kimberly	0.0762203
Connie	0.0759383
Janet	0.0758646
Jessie	0.0756226
Meg	0.0753144
Linda	0.0751911
ANN	0.0751392
Sophie	0.0750112
Terri	0.0749656
Lois	0.0747228
Lynn	0.0747135
"Leigh Ann"	0.0746864
Anne	0.0746409
becky	0.0740108
Annie	0.0739255
Amy	0.0739157
Lou	0.0738389
Melissa	0.073802
Lucia	0.0736384
"Azizah Ismail"	0.0736294
Teresa	0.0735493
Natalie	0.0734821
Elaine	0.0733845
Toni	0.0732756
Tipper	0.0731528
heather	0.0724952
Audrey	0.0723428
Edith	0.0721496
Paula	0.0720529
Sarah	0.0718427
Aurelio	0.0715837
Anita	0.0712859
Marilyn	0.0711688
Alexandra	0.0709725
Marie	0.070877
Kate	0.0701464
Denise	0.069966
Liz	0.0699584
Sharon	0.0695661
Ellen	0.069453
Elena	0.0689253
Sara	0.0686489
Betty	0.0686472
Karen	0.0686089
Shirley	0.0685287
Rita	0.0684328
Alice	0.0680551
Erica	0.0678187
Louise	0.0676241
Emma	0.0671826
Katherine	0.0669998
Esther	0.0669196
Helen	0.066872
Caroline	0.0667071
Agnes	0.0664627
Fran	0.0663154
Thelma	0.0661545
Roberta	0.0657744
Maria	0.065137
Catherine	0.065098
gloria	0.0650704
Claudia	0.0647423
Marianne	0.0646566
colleen	0.064062
R.	0.0640202
Rhonda	0.0638546
Meredith	0.0634272
Judith	0.063187
Lydia	0.0630108
Jenny	0.0626648
Julia	0.0626039
Danielle	0.0624657
Alison	0.0623317
Bernard	0.062143
Leah	0.0620639
Larry	0.062048
Eleanor	0.0618279
Mona	0.0616965
Naomi	0.0616161
Lucy	0.0615068
Bessie	0.0614206
TARA	0.0614053
Jessica	0.0613834
Sandra	0.0611099
Emily	0.0610964
Mimi	0.0610063
Melanie	0.0605977
Adele	0.0604135
Carla	0.0602996
Angela	0.0600969
Dolores	0.060035
Clara	0.0596916
Janice	0.0596202
Regina	0.0596084
Tina	0.059513
Megan	0.0593246
Lucille	0.0590866
Stella	0.0590594
Shannon	0.0589462
anna	0.0588186
Lauren	0.0587712
Sasha	0.0585816
))
("Betsy King" (desc 1661.39) (sims
"Laura Davies"	0.286282
"Kelly Robbins"	0.253105
"Dottie Pepper"	0.225151
"Juli Inkster"	0.219882
"Meg Mallon"	0.209138
"Pat Hurst"	0.205863
"Sherri Steinhauer"	0.172784
"Brandie Burton"	0.172138
"Annika Sorenstam"	0.164812
"Liselotte Neumann"	0.163173
"Donna Andrews"	0.132786
"Nancy Lopez"	0.125619
"Se Ri Pak"	0.122699
Sorenstam	0.119597
Inkster	0.0973298
"Maurier Classic"	0.0929231
Mallon	0.0893989
"Gil Morgan"	0.0819015
Alfredsson	0.0788717
"Karrie Webb"	0.0744139
"Chris Johnson"	0.0731222
"Larry Nelson"	0.0706987
Ozaki	0.0703942
Cink	0.0700827
Gogel	0.0673936
"Dana Quigley"	0.0670853
Durant	0.0664065
Fleisher	0.0652913
Maruyama	0.0631652
Pak	0.0624366
"Hale Irwin"	0.0622387
"Peter Bondra"	0.0608981
Dougherty	0.06073
"Andrew Coltart"	0.0595482
"Desert Hero"	0.0591586
Hoch	0.0590098
"Craig Stadler"	0.0588862
Quigley	0.0587538
"Nick Faldo"	0.0587323
"Paul Azinger"	0.0571136
"Nick Price"	0.0543076
"Horned Frogs"	0.0541718
"Lee Janzen"	0.0540497
Biffle	0.0540493
"Seibu Lions"	0.0537558
Hurst	0.0535394
Stadler	0.0532542
"Davis Love III"	0.0524918
"Greg Norman"	0.0524301
Furyk	0.0524031
"League of Nations"	0.0524029
"Wang Junxia"	0.0522502
Hendrickson	0.0518603
"Raymond Floyd"	0.051777
"Winning Colors"	0.0517653
Appleby	0.0517407
Parnevik	0.0515607
"Sheryl Swoopes"	0.0515552
"Tom Watson"	0.0514938
"Scarlet Knights"	0.0513454
Karlsson	0.0512767
"Seve Ballesteros"	0.0507776
Utes	0.05067
Aamodt	0.0504985
Kuchar	0.0501088
one-two	0.0499251
Waldorf	0.049788
"Fred Couples"	0.0497555
"Garry Galley"	0.0496762
"Jennifer Gillom"	0.049622
"Steve Elkington"	0.0495521
"Jackson State"	0.049549
"Mark Calcavecchia"	0.0493049
"Boston Symphony Orchestra"	0.0492654
"Bob Tway"	0.0487996
Davies	0.0487889
"Mark O'Meara"	0.0486226
"Miguel Angel Jimenez"	0.0482624
Janzen	0.0480014
"Koji Ito"	0.0477714
"Jack Nicklaus"	0.0476656
Tanganyika	0.0475527
Fiedler	0.0473329
"LPGA Championship"	0.0472967
"River Keen"	0.0471662
"Bruce Fleisher"	0.0469428
Trepagnier	0.0468929
"Ernie Els"	0.0468876
Andrade	0.0467334
"Mark Brooks"	0.0465936
Mickelson	0.0465667
"Axel Schulz"	0.0465607
"Paul Tergat"	0.0464537
"Kirk Triplett"	0.0463291
Gump	0.0462961
White-McCarty	0.0461033
Langham	0.0459986
"Isao Aoki"	0.045984
"Ian Woosnam"	0.0458673
"Al Unser Jr."	0.0453552
"Anatoly Karpov"	0.0452152
"Calgary Flames"	0.0451176
"Allen Doyle"	0.0448566
"Jarmo Sandelin"	0.0447848
Polgar	0.044759
"Brian Watts"	0.0446447
"Irina Slutskaya"	0.0444696
Jayhawks	0.0443866
UNT	0.0443783
Calcavecchia	0.0442366
"Bernhard Langer"	0.0441731
"Saturday Evening Post"	0.0441437
"Chris Perry"	0.0440954
"Matt Kuchar"	0.044033
Shenhua	0.0436891
Kasparov	0.043565
"Lee Trevino"	0.0433134
"four @-pointers"	0.0430944
O'Meara	0.0430191
"Sidney Poitier"	0.0429885
"Casey Martin"	0.0429331
Huston	0.0428393
"Johnny Miller"	0.0428196
"Arnold Palmer"	0.0426854
"Partizan Belgrade"	0.0426226
Transamerica	0.0426216
Lithuanians	0.0425169
Ballesteros	0.0424969
"Phenix City"	0.0423562
Lawrie	0.0423483
"Arkansas State"	0.0422986
"Ben Hogan"	0.0422584
"La Russa"	0.0422332
"three @-pointers"	0.0420272
gamecock	0.042011
"Red Star"	0.041845
Post-Intelligencer	0.0418344
"Sergio Garcia"	0.0418088
"Miguel Indurain"	0.0417977
"United Republic of Tanzania"	0.0417557
"Eddie Cheever"	0.0416284
"Tom Kite"	0.0415955
Makinen	0.0415592
"Jose Maria Olazabal"	0.0415588
Cavs	0.0415282
Timms	0.0414246
Kuehne	0.0413424
Minutemen	0.0412207
Montgomerie	0.0410389
Audette	0.0408735
"Los Angeles Galaxy"	0.0408254
"Tar Heels"	0.0406713
"CAC @@"	0.0406183
"John Connally"	0.0405876
"Shigeki Maruyama"	0.0405606
"Oliver McCall"	0.0404927
Musashimaru	0.040488
"Brooklyn Dodgers"	0.0403174
"Miami Fusion"	0.0402773
Boilermakers	0.0400933
"nervous breakdown"	0.0400783
Sautin	0.040071
"Frank Bruno"	0.0400472
Benfica	0.0400456
WSU	0.0400359
Tanaka	0.040022
))
("Betsy McCaughey Ross" (desc 1903.74) (sims
"Buddy MacKay"	0.271416
"Rick Perry"	0.202118
"Kathleen Kennedy Townsend"	0.200344
"Dan Lungren"	0.168403
"Gray Davis"	0.161586
"Peter Vallone"	0.161029
"Mark Green"	0.160113
"Don Siegelman"	0.155191
"Bob Bullock"	0.154938
"Guy Millner"	0.147049
"Michael Dukakis"	0.130545
"McCaughey Ross"	0.127554
"Francisco Labastida Ochoa"	0.127232
"William Weld"	0.126338
"Mike Huckabee"	0.123527
"Yitzhak Mordechai"	0.122101
"Garry Mauro"	0.122082
"Mark Taylor"	0.118083
"Matt Fong"	0.117687
"Geraldine Ferraro"	0.117671
"Christine Todd Whitman"	0.117396
"Francisco Labastida"	0.115266
"Eliot Spitzer"	0.11276
"Bob Franks"	0.112708
"Mel Carnahan"	0.112214
"Charles Schumer"	0.110569
"Mario Cuomo"	0.110565
"Cuauhtemoc Cardenas"	0.108234
"Patrick Buchanan"	0.106835
"Marc Racicot"	0.105558
"George McGovern"	0.105552
"Jon Corzine"	0.105213
"John Hagelin"	0.10469
"Roy Barnes"	0.104521
"Ralph Nader"	0.104291
"Zell Miller"	0.103558
"Gary Johnson"	0.103339
"Scott Harshbarger"	0.102612
"Vicente Fox"	0.101535
"John G. Rowland"	0.0996866
"Jeanne Shaheen"	0.0995299
"Rick Lazio"	0.0986229
"Jane Hull"	0.0978496
"Jim Guy Tucker"	0.0976527
"Jack Kemp"	0.0976056
"David Beasley"	0.0962133
"Tom Campbell"	0.0958906
Musgrove	0.0940855
"Patrick J. Buchanan"	0.0926709
Voinovich	0.0926703
"Mike Foster"	0.0923107
"Clint Reilly"	0.0916566
"Gary Locke"	0.0910584
"Walter Mondale"	0.0907901
"Paul Cellucci"	0.0904562
"Barry Goldwater"	0.0894641
"Bill Owens"	0.0893992
"Lamar Alexander"	0.0889442
"Tom Vilsack"	0.0875838
Vallone	0.0872545
"Alexander Lebed"	0.0866414
"Vicente Fox Quesada"	0.0864225
"Jim Florio"	0.0861433
"Jim Gilmore"	0.0860714
Siegelman	0.0857601
"Tom Ridge"	0.0856009
"John Rowland"	0.0851503
"Robert Livingston"	0.0848261
"Roy Romer"	0.0844921
"Jim Hodges"	0.0842793
"Tommy Thompson"	0.0826309
"Sheldon Silver"	0.0825459
"Jeb Bush"	0.0824225
"John Engler"	0.082355
"Joseph Bruno"	0.0810074
"Bill Graves"	0.0809319
"George Ryan"	0.080679
"Elizabeth Dole"	0.0801892
"Jerry Brown"	0.0800587
"Ann Richards"	0.0789506
"George Pataki"	0.0786861
"Dick Cheney"	0.0783403
"Steve Forbes"	0.0781165
"Lowell Weicker"	0.0778241
"Bob Dole"	0.0775078
"Parris Glendening"	0.077119
"John Cornyn"	0.0765375
"Linda Smith"	0.0763204
"Lawton Chiles"	0.0762835
"Alan Keyes"	0.0759202
Comptroller	0.0758025
"Pat Buchanan"	0.0751136
"Paul Patton"	0.0749631
"Vojislav Kostunica"	0.0745209
"Elyakim Rubinstein"	0.0737252
"Xiong Guangkai"	0.072973
"Pete Wilson"	0.0715909
"Pedro Rossello"	0.0712425
"Gary Bauer"	0.0712222
"lieutenant governor"	0.0709635
"David Duke"	0.0707554
"Fob James"	0.0704825
"Charles E. Schumer"	0.0703694
"George E. Pataki"	0.0702101
"Dennis Vacco"	0.070191
"Christie Whitman"	0.0700875
"James Soong"	0.0700112
"John Connally"	0.0697853
"Prabowo Subianto"	0.0695751
"Robert Bork"	0.0695372
"Oliver North"	0.0695265
"Gennady Zyuganov"	0.0687742
"Steve Campbell"	0.0686075
Sutiyoso	0.0672041
"Shaul Mofaz"	0.0662721
"George Voinovich"	0.065962
MacKay	0.0656824
"Joseph Lieberman"	0.0652626
"Bob Taft"	0.0649617
Fordice	0.064888
"Alejandro Toledo"	0.0646443
"Jim Hunt"	0.0644694
Keyes	0.0629753
Councilman	0.0626191
"Johnny Paul Koroma"	0.0626031
Shui-bian	0.0618816
Harshbarger	0.0615594
"Nelson Rockefeller"	0.0611742
"Mike Leavitt"	0.0611648
"Bruce Babbitt"	0.0608923
"Ross Perot"	0.0607834
"Joe Lieberman"	0.0606065
"Eileen Collins"	0.0604819
"Nancy Pelosi"	0.0604103
Lungren	0.0602963
"Oladipo Diya"	0.0598044
Labastida	0.0595595
Giordano	0.0595449
"Donald Trump"	0.0594945
"Evan Bayh"	0.059369
"Erskine Bowles"	0.0590979
"John Sweeney"	0.0590156
"Hugo Chavez"	0.0588412
"Megawati Sukarnoputri"	0.0588254
Kazhegeldin	0.0585813
Ferraro	0.0584168
"Charles Taylor"	0.0578648
"Dennis Hastert"	0.0576555
"Joseph I. Lieberman"	0.0572949
Paez	0.0571579
congresswoman	0.0567471
"Mike Moore"	0.0567168
"Colin Powell"	0.0564966
"Richard Blumenthal"	0.0560002
"Frank Keating"	0.0555261
"Laurent Fabius"	0.0551738
"Khin Nyunt"	0.0549492
Engler	0.0549457
"Daniel Patrick Moynihan"	0.0548352
Kennelly	0.0545492
Prabowo	0.0544976
Millner	0.054439
"Ricardo Lagos"	0.0544245
"John Edwards"	0.0543188
"Orrin Hatch"	0.0541585
Hevesi	0.0541051
"Edmund Ho Hau Wah"	0.0540626
"Yuri Maslyukov"	0.0539569
"Jack Gargan"	0.0534435
"Lloyd Bentsen"	0.0529381
"Jesse Ventura"	0.052552
"Justin Volpe"	0.0525285
"Gerhard Schroeder"	0.0522693
"Ray Evernham"	0.0521409
then-Gov.	0.0520575
"Michael Jackson"	0.0520093
"Edwin Edwards"	0.0518791
McWilliams	0.0518163
Treen	0.0517752
officeholder	0.0516457
"Mike Jackson"	0.0514021
Mauro	0.0513501
Kerrey	0.0511913
Kenseth	0.0509205
"George W."	0.0508856
"Koichi Kato"	0.0507298
Arron	0.0506103
Perisho	0.0505748
"John Snyder"	0.0505383
"Curtis Brown"	0.0503349
"Matt Salmon"	0.0502854
"Shimon Peres"	0.0499745
Nader	0.0499121
Julich	0.0496095
Easley	0.0494921
"House Majority Whip Tom DeLay"	0.0494676
"Howard Baker"	0.0493617
"Dan Morales"	0.0493375
Moseley-Braun	0.0492198
"Dame Judi Dench"	0.048949
))
(Bette (desc 2734.09) (sims
"Mickey Blue Eyes"	0.0657441
Marisleysis	0.06349
"nine yards"	0.0628314
Kehoe	0.0607989
"Michael Kennedy"	0.0592522
Marie	0.0585192
"high fidelity"	0.0581628
EdTV	0.0571286
Rita	0.0546071
"Michael Skakel"	0.0530744
Malcolm	0.0529468
Robby	0.0528968
dino	0.0518361
Ellen	0.0506771
"Family Guy"	0.0504188
Figaro	0.048875
Titus	0.0484848
"Sports Night"	0.0479106
"Patch Adams"	0.0478907
TNN	0.0477476
Bubba	0.0475864
"Will &AMP; Grace"	0.0473327
"Double Jeopardy"	0.0470366
Rushmore	0.0455036
"Erin Brockovich"	0.0451623
Devine	0.0449974
Futurama	0.0448339
"Jerry Springer Show"	0.0445682
"Scary Movie"	0.0444718
Brandt	0.0444323
"Animal Farm"	0.0440794
"Being John Malkovich"	0.0436262
"Everybody Loves Raymond"	0.0431643
Regis	0.0427645
Hendry	0.042693
Maag	0.0424579
"Runaway Bride"	0.0422008
"best man"	0.042087
Kat	0.0417823
"Nurse Betty"	0.0416956
"American Pie"	0.0415323
"Maria Shriver"	0.0412962
Cosby	0.0412156
"Thomas Crown Affair"	0.0412029
"Notting Hill"	0.041161
Bert	0.0409736
Mumford	0.0409334
"blue angel"	0.0408516
"Waking Ned Devine"	0.040665
Hughleys	0.04065
))
("Bette Davis" (desc 2680.78) (sims
"Spencer Tracy"	0.239601
"Burt Lancaster"	0.191587
"Henry Fonda"	0.191437
"Humphrey Bogart"	0.187755
"Greta Garbo"	0.18258
"Gregory Peck"	0.167124
"Gary Cooper"	0.164692
"Joan Crawford"	0.152387
"Cary Grant"	0.147029
"Ingrid Bergman"	0.129599
"Marlene Dietrich"	0.127115
"James Cagney"	0.122231
"W.C. Fields"	0.120924
"Grace Kelly"	0.11948
"Marlon Brando"	0.11566
"Audrey Hepburn"	0.111904
"Jimmy Stewart"	0.111552
"James Stewart"	0.11154
"Lana Turner"	0.109039
"Richard Burton"	0.10864
"Clark Gable"	0.103167
"Sidney Poitier"	0.0998573
"Lauren Bacall"	0.0996538
"John Wayne"	0.098331
"Kirk Douglas"	0.0964061
"Lucille Ball"	0.0959302
"Frank Capra"	0.0922121
"Fred Astaire"	0.0858055
"Akira Kurosawa"	0.0854319
"Errol Flynn"	0.0831209
"Bob Hope"	0.0828771
"Vivien Leigh"	0.0822814
"Sammy Davis Jr."	0.0796696
"Elizabeth Taylor"	0.0774402
"Sean Connery"	0.0760965
"Meryl Streep"	0.0760434
"Bing Crosby"	0.0741656
"Janet McTeer"	0.0736932
"Mae West"	0.0722863
"Jessica Lange"	0.0718449
"Jeremy Irons"	0.0708563
"Sophia Loren"	0.0704527
"Demi Moore"	0.0698153
"Jack Lemmon"	0.0682897
"Anthony Hopkins"	0.0681237
"Orson Welles"	0.0679895
"Kim Basinger"	0.0675471
"Brooke Shields"	0.0672606
"Jack Nicholson"	0.067235
"Andre Braugher"	0.0671976
"Wesley Snipes"	0.0665522
"Kathleen Turner"	0.0661751
"Chow Yun-Fat"	0.0653883
"Woody Allen"	0.0651052
"Clint Eastwood"	0.0643103
"Laurence Olivier"	0.0638371
"Charlton Heston"	0.0636286
"Judi Dench"	0.0631728
"Katharine Hepburn"	0.0624097
"Richard Gere"	0.0614509
"Robert de Niro"	0.0609817
"Jodie Foster"	0.0607539
Cleese	0.0601889
"Sally Field"	0.0595363
"Judy Garland"	0.0592475
"Pierce Brosnan"	0.0587355
"Halle Berry"	0.0587061
"Kevin Spacey"	0.0582031
"Ethan Hawke"	0.0580973
"Nathan Lane"	0.0579296
"Frank Sinatra"	0.0579163
"Rob Lowe"	0.0578941
Dench	0.057819
"Cuba Gooding Jr."	0.0577798
"Ian McKellen"	0.0575713
"Walter Matthau"	0.0575255
"Geoffrey Rush"	0.0574504
"Jane Fonda"	0.0572855
"Sela Ward"	0.0571279
"Albert Brooks"	0.0570677
"Jim Carrey"	0.0570524
"Michael Caine"	0.0569665
"Michael Douglas"	0.0569117
"Ally Sheedy"	0.0567005
"Barbra Streisand"	0.0566669
"James Earl Jones"	0.0563669
"Nicolas Cage"	0.0562734
Costner	0.0560695
"Jon Voight"	0.0560264
"Brigitte Bardot"	0.055816
"Joan Allen"	0.055757
"Edward Furlong"	0.0554747
"Billy Wilder"	0.055472
"Richard Dreyfuss"	0.0551872
GERE	0.0549363
"William Hurt"	0.0547583
"Alicia Silverstone"	0.0546369
"Alfre Woodard"	0.05452
"Dame Judi Dench"	0.0544726
"AL PACINO"	0.0544641
Brando	0.054405
"Martin Lawrence"	0.0543999
"Hilary Swank"	0.054334
"Marilyn Monroe"	0.0543052
"Geena Davis"	0.0542778
Gielgud	0.054035
"Tom Selleck"	0.0537844
"Jamie Foxx"	0.0536282
"Nicole Kidman"	0.0535936
"Robert DeNiro"	0.0535515
"Julia Roberts"	0.0533957
"Gene Hackman"	0.0529902
"Carol Burnett"	0.05296
"Robin Williams"	0.0527515
"Burt Reynolds"	0.0527254
Rockettes	0.052659
"James Woods"	0.0525987
"Russell Crowe"	0.0525857
"Arnold Schwarzenegger"	0.0525181
"Kevin Bacon"	0.0524704
"Emily Watson"	0.0523473
"Kathy Bates"	0.0522041
swank	0.0520697
"Roberto Benigni"	0.0519101
"James Van Der Beek"	0.0518563
"Frances McDormand"	0.0517131
"Vanessa Redgrave"	0.0517035
"John Leguizamo"	0.0516598
"Christopher Reeve"	0.0515817
"Chevy Chase"	0.0514482
"Steve McQueen"	0.0513502
"Dustin Hoffman"	0.0512451
"Jason Alexander"	0.0511166
"Gwyneth Paltrow"	0.0511127
"Sigourney Weaver"	0.0510268
"Julie Andrews"	0.0510089
"Leelee Sobieski"	0.050696
"Ian Holm"	0.0506178
"Kate Winslet"	0.0503176
"Groucho Marx"	0.0502379
"Charlie Chaplin"	0.0501942
"Harrison Ford"	0.0500746
"Holly Hunter"	0.0500574
Garbo	0.0499699
"Robert Redford"	0.0498953
"Kirsten Dunst"	0.0498671
"Steve Martin"	0.049832
"Johnny Depp"	0.0494713
"Val Kilmer"	0.0494201
"Bernadette Peters"	0.0493469
"Eddie Murphy"	0.0492117
"Catherine Deneuve"	0.0491421
"Jimmy Smits"	0.0491116
"Tracey Ullman"	0.0490429
"Alan Cumming"	0.0490353
"Ingmar Bergman"	0.0489769
Tucci	0.0488423
"Warren Beatty"	0.0486773
"John Travolta"	0.0485456
Hirst	0.0485453
"Uma Thurman"	0.0482367
Kidman	0.0481326
"P.T Barnum"	0.0481322
Streep	0.0480781
"Denzel Washington"	0.0480489
"Christopher Walken"	0.0474707
"Matthew Broderick"	0.0473568
"Michelle Pfeiffer"	0.0473474
Braugher	0.0472897
"Stanley Tucci"	0.0471393
"Kelsey Grammer"	0.0467038
"Ralph Fiennes"	0.0464504
moviemakers	0.0462965
"Faye Dunaway"	0.0460978
"Goldie Hawn"	0.0460966
"Angela Bassett"	0.0459983
Ryder	0.0457098
"Chris Klein"	0.0457036
"Nick Nolte"	0.0456967
"Keanu Reeves"	0.045668
"Claire Danes"	0.0456553
"John Belushi"	0.0454982
"Audra McDonald"	0.0453359
"Winona Ryder"	0.0452491
"Ray Romano"	0.0452382
"Edie Falco"	0.0452137
"Edward Norton"	0.0451586
"Angelina Jolie"	0.0450225
"Brad Pitt"	0.0449537
"Mark Wahlberg"	0.0448941
"Robert Duvall"	0.0447987
"Diana Ross"	0.0447569
gonzo	0.0447047
"Bill Pullman"	0.0446987
"Sarah Jessica Parker"	0.0446434
"Natalie Portman"	0.0446004
Kermit	0.0444267
"Matt Damon"	0.0444087
"George Clooney"	0.0443814
"Jeff Bridges"	0.0443174
))
("Bette Midler" (desc 5435.64) (sims
"Goldie Hawn"	0.150638
"Barbra Streisand"	0.129399
"Eddie Murphy"	0.11467
"Demi Moore"	0.109311
"Alicia Silverstone"	0.108739
"Alec Baldwin"	0.108638
"Lily Tomlin"	0.107813
Cher	0.0983768
"Robin Williams"	0.0972009
"Burt Reynolds"	0.0904251
"David Spade"	0.0896572
"Robert Redford"	0.089386
"Susan Sarandon"	0.0891288
"Martin Short"	0.0873706
"Martin Lawrence"	0.086424
"James Van Der Beek"	0.08602
"Drew Barrymore"	0.0857629
"Kim Basinger"	0.0853397
"Billy Crystal"	0.0846408
Midler	0.0836328
"Tom Hanks"	0.082067
"Diana Ross"	0.082029
"Rosie O'Donnell"	0.0804742
"Chow Yun-Fat"	0.080412
"Richard Dreyfuss"	0.0793011
"Julia Roberts"	0.0787225
"Janet McTeer"	0.0783183
"Holly Hunter"	0.0779328
"Michael Douglas"	0.0778433
"Tina Turner"	0.0771174
"Carol Burnett"	0.076632
"Matthew Perry"	0.0764328
"Taye Diggs"	0.0764169
"Janet Jackson"	0.0755428
"Jennifer Lopez"	0.0746357
"Ted Danson"	0.074455
"Whitney Houston"	0.0739388
"Chevy Chase"	0.0734796
"Nathan Lane"	0.0723916
"Albert Brooks"	0.0720852
"Bill Cosby"	0.0713904
"Harvey Keitel"	0.0711413
"Patricia Arquette"	0.0709299
"Kevin Costner"	0.0709219
"Meryl Streep"	0.0707229
"Mark Wahlberg"	0.0704484
"Mike Myers"	0.0701566
"Nicole Kidman"	0.0696163
"Lucille Ball"	0.0694533
"Bill Paxton"	0.0683899
"Jeremy Irons"	0.0681995
RuPaul	0.0680305
"Jimmy Smits"	0.0676757
"Vanessa Redgrave"	0.0673776
"Martin Sheen"	0.0673409
"Diane Keaton"	0.067029
"Bill Pullman"	0.0668441
"James Earl Jones"	0.0667953
Babyface	0.0666894
"Whoopi Goldberg"	0.0666842
"Matthew Broderick"	0.0666343
"AL PACINO"	0.0664666
"Jason Alexander"	0.0659331
"Sylvester Stallone"	0.0656757
"Glenn Close"	0.0653385
"Christopher Reeve"	0.0646659
"Sidney Poitier"	0.0645479
"Jim Carrey"	0.0645277
"Lenny Kravitz"	0.0638177
"Harrison Ford"	0.0637398
"David Arquette"	0.0636442
"Tom Cruise"	0.0636389
"Angela Bassett"	0.063596
"Billy Joel"	0.0635652
"Jackie Chan"	0.0632283
"Rob Lowe"	0.0631778
"John Travolta"	0.0623865
"Nick Nolte"	0.0623526
"Minnie Driver"	0.062329
"Will Smith"	0.0622829
"Michelle Pfeiffer"	0.0621447
"Helen Hunt"	0.0620111
"Jack Nicholson"	0.0619508
"Claire Danes"	0.0618549
"Woody Allen"	0.0615916
"Clint Eastwood"	0.0614997
"Boyz II Men"	0.060488
"Meg Ryan"	0.0604703
"Michael Jackson"	0.0604699
"Heather Graham"	0.0599397
"Julie Andrews"	0.0596196
"Arnold Schwarzenegger"	0.059555
Costner	0.0595195
"Bruce Willis"	0.0593048
"Kathy Bates"	0.0589736
"Shirley MacLaine"	0.058587
"Dan Hedaya"	0.0583965
"Elton John"	0.0582917
"Celine Dion"	0.0582557
"Liza Minnelli"	0.0582304
"Helen Mirren"	0.0579429
"Sally Field"	0.057942
"Sheryl Crow"	0.0578118
"Ellen DeGeneres"	0.0577881
"Sarah Michelle Gellar"	0.057341
"Steven Spielberg"	0.057258
Sarandon	0.0571364
"Stevie Wonder"	0.0568829
"Adam Sandler"	0.0568302
"Alfre Woodard"	0.0568138
"Lauren Bacall"	0.0565702
"Audra McDonald"	0.0564884
"Geena Davis"	0.0564579
"James Taylor"	0.0561926
brandy	0.0560487
"Linda Ronstadt"	0.0559729
"Keanu Reeves"	0.0557529
"Bob Dylan"	0.0556497
"Phil Collins"	0.0556018
"Nicolas Cage"	0.0552916
"Elizabeth Taylor"	0.0552263
"Kevin Bacon"	0.0550572
"Eric Clapton"	0.0549789
"Pierce Brosnan"	0.0548367
"Steve Martin"	0.0547015
"Quincy Jones"	0.0547013
"Katharine Hepburn"	0.0546443
"Warren Beatty"	0.0544036
"Kate Winslet"	0.0543324
"Steve McQueen"	0.0542682
"LeAnn Rimes"	0.0540548
"Norman Lear"	0.0540503
"Matthew McConaughey"	0.0540133
"Richard Gere"	0.0538954
"Dolly Parton"	0.0538644
"Paul Newman"	0.0536918
"Kenneth Branagh"	0.0536416
"Willie Nelson"	0.0528172
"Jane Fonda"	0.0525059
"Cameron Diaz"	0.0523332
"Kathleen Turner"	0.0522703
"Sandra Bullock"	0.0520905
"Paul Simon"	0.0520621
"Judy Garland"	0.0518055
"Edward Norton"	0.0517242
"Winona Ryder"	0.0517066
"Kirk Douglas"	0.0516514
"Brooke Shields"	0.0516393
"Jerry Seinfeld"	0.0515323
Hawn	0.051376
"Angelina Jolie"	0.0513693
"Liam Neeson"	0.0513365
"Jimmy Stewart"	0.0511988
"Toni Braxton"	0.0511443
Cleese	0.0504417
"Bill Murray"	0.0504389
"Brian Dennehy"	0.0504012
"Jodie Foster"	0.0503926
"Denzel Washington"	0.0499404
"Chris Rock"	0.0498828
"John Lithgow"	0.0498366
"Antonio Banderas"	0.0498153
"Rod Stewart"	0.0498121
"Garth Brooks"	0.0497496
Madonna	0.0497339
"Henry Fonda"	0.0495841
"Sela Ward"	0.0494991
"Walter Matthau"	0.0494134
"Brenda Blethyn"	0.0492741
"Michael J. Fox"	0.0492506
"Jennifer Love Hewitt"	0.0491862
"Enrique Iglesias"	0.049093
"Wesley Snipes"	0.0490809
Aerosmith	0.0490371
"Kevin Spacey"	0.0489072
"Kirsten Dunst"	0.0488779
"Michael Caine"	0.0487488
"Joni Mitchell"	0.0487481
"Bob Hope"	0.0486536
"Hugh Grant"	0.0486305
"Matt Damon"	0.0484119
"Gabriel Byrne"	0.0484032
"Jon Bon Jovi"	0.0483225
"David Bowie"	0.0481915
"Ian McKellen"	0.0478966
"Bonnie Raitt"	0.047837
"Sean Penn"	0.047699
Roseanne	0.0475928
"Ben Affleck"	0.0475669
"Elizabeth Hurley"	0.0475587
"Jack Lemmon"	0.0474019
"Ethan Hawke"	0.0472962
"Marx Brothers"	0.0472315
"Mel Gibson"	0.0471056
"Frank Sinatra"	0.0470834
"Rupert Everett"	0.0470187
"Chris Klein"	0.0467069
"Itzhak Perlman"	0.0466564
"Annette Bening"	0.0466064
"Oprah Winfrey"	0.0465715
))
(better (desc 16660.1) (sims
worse	0.081472
bigger	0.0601812
easier	0.058978
Greater	0.0546563
stronger	0.0510108
larger	0.0451664
heck	0.0414964
))
("Better Business Bureau" (desc 1586.05) (sims
"National Abortion and Reproductive Rights Action League"	0.128535
"Federal Deposit Insurance Corp."	0.10753
NLRB	0.106467
"National Association of Securities Dealers"	0.106431
"American Lung Association"	0.105527
"Audubon Society"	0.0964118
"U.S. Customs Service"	0.0923936
"Urban League"	0.0895628
"Department of Justice"	0.0884534
"American Civil Liberties Union"	0.0883258
"International Rescue Committee"	0.0860858
"Department of Commerce"	0.085722
"National Audubon Society"	0.0853332
PUC	0.0846368
EEOC	0.0845331
ACLU	0.0845036
"Chase Manhattan Corp."	0.083858
disbarment	0.0832766
"Kraft Foods"	0.0777799
"Federal Bureau of Investigation"	0.0772875
"World Bank Group"	0.0770196
"American Red Cross"	0.076461
"United Way"	0.0761692
"International Red Cross"	0.0759852
bureaus	0.0757305
"U.S. Immigration and Naturalization Service"	0.0744494
"Omnicom Group"	0.0742307
"Home Ministry"	0.0732237
"Public Security Ministry"	0.0728593
"Sydney Organizing Committee"	0.0723047
"Deutsche Bank AG"	0.0719772
"Red Cross"	0.0715559
"American Heart Association"	0.0710589
"National Academy of Sciences"	0.070881
"National Urban League"	0.0697594
"Bankers Trust Corp."	0.0694469
CPAFFC	0.0691428
"College Board"	0.0690952
"credit bureau"	0.0687585
"League of Women Voters"	0.0687281
"National Association"	0.0684518
"Drug Enforcement Administration"	0.0683697
"American International Group"	0.0681751
"Equal Employment Opportunity Commission"	0.0679595
NHTSA	0.0678959
"Fox Network"	0.0678153
"Communications Workers of America"	0.0674408
SBA	0.067354
"UN agency"	0.0672653
NARAL	0.0672646
"Federal Communications Commission"	0.0672335
"NFL Players Association"	0.0671743
"American Cancer Society"	0.0670465
"Anti-Defamation League"	0.0669859
"Securities Industry Association"	0.066972
FSB	0.0669399
"three schools"	0.0667481
"American Jewish Committee"	0.0666012
"Small Business Administration"	0.0663238
"Nature Conservancy"	0.0662075
sub-branches	0.0656401
"Chase Manhattan Bank"	0.0655656
"Department of Motor Vehicles"	0.0648769
"Amnesty International"	0.0648283
"Board of Elections"	0.0643398
GEC	0.0643279
"business organization"	0.0641209
"Gap Inc."	0.0640705
"educational institution"	0.0638373
Bridgestone/Firestone	0.0637381
DEP	0.0636945
"National Education Association"	0.0632974
"art teacher"	0.0631838
"National Alliance"	0.0631335
"Association of Flight Attendants"	0.0629761
"Olympic Council of Asia"	0.0628105
DEA	0.0627911
ADL	0.0626905
UNFPA	0.0625443
"Planned Parenthood"	0.062127
"National Federation"	0.062076
"Motion Picture Association of America"	0.0619196
USATF	0.0616555
"private corporation"	0.0616407
YankeeNets	0.0614098
"Medicare HMO"	0.0613875
"Israeli Foreign Ministry"	0.0613694
FEMA	0.0612173
ISSEL	0.0611363
FTC	0.0610683
"Air Transport Association"	0.0608081
Instinet	0.0607849
"U.S. Golf Association"	0.0605476
"American Association of Retired Persons"	0.0605268
"Common Cause"	0.0604755
"U.S. Soccer Federation"	0.0604675
"Players Association"	0.060182
"Defense Department"	0.0598494
DLC	0.0596948
"China Youth Development Foundation"	0.0592373
"Ministry of Civil Affairs"	0.0592104
ITC	0.0592019
"American Film Institute"	0.0591176
INEC	0.0590562
Skiles	0.0589798
CCF	0.0589346
KONI	0.0588214
SCI	0.0588033
ITU	0.0586454
"SAR Government"	0.0586228
"Humane Society"	0.0586118
"Immigration and Naturalization Service"	0.0583911
OCA	0.0583759
"public defender"	0.0582806
EOHR	0.0582247
"Rockefeller University"	0.0580734
"League of Conservation Voters"	0.0580547
"European Space Agency"	0.058022
"Texas Department of Public Safety"	0.0579949
"Transparency International"	0.0579795
"trade association"	0.0579503
"Securities and Exchange Commission"	0.0579172
"General Electric Co."	0.0579119
"Southeastern Legal Foundation"	0.0578627
"Health and Human Services Department"	0.0578598
"United Nations High Commission for Refugees"	0.0577478
"Federal Security Service"	0.0576803
"Bureau of Indian Affairs"	0.0576229
COSCO	0.0575019
"Education Department"	0.0574756
Interpol	0.0573665
SDS	0.0573585
"National Highway Traffic Safety Administration"	0.0572976
MSF	0.0572934
"U.N. World Food Program"	0.0572472
CAA	0.0571993
"Supreme Judicial Court"	0.0571701
"China National Petroleum Corporation"	0.0571451
toll-free	0.0570406
ACOG	0.0569594
"Times Co."	0.0568301
"Thermo Electron"	0.0567944
"World Court"	0.0566871
"University of Rochester"	0.0566258
AFL-CIO	0.0565457
"Texas Supreme Court"	0.0563768
"International Amateur Athletics Federation"	0.0561519
UNAMET	0.0561051
"Fannie Mae"	0.055964
Panasonic	0.055871
"Service Employees International Union"	0.0556814
"William Morris"	0.0556218
"R Block"	0.0556008
"Nihon Keizai Shimbun"	0.0555999
"Department of Transportation"	0.0555597
"Xinhua News Agency Hong Kong Branch"	0.0555414
"Treasury Department"	0.0554852
"Federal Trade Commission"	0.0551167
"CBS Corp."	0.0550308
"Bank of Israel"	0.05503
"Department of Health and Human Services"	0.0549617
DMV	0.054866
"World Health Organization"	0.0547877
"Cendant Corp."	0.0547257
Priceline.com	0.0547178
"Wine Institute"	0.0546896
consulate	0.0546424
"International Committee of Red Cross"	0.0542824
FDIC	0.0542463
CFTC	0.0542184
Unisys	0.0541316
HUD	0.0540673
"Operation Lifeline Sudan"	0.0540417
"Solomon R. Guggenheim Museum"	0.0540297
FSA	0.0540002
"National Association of Manufacturers"	0.0539958
SCLC	0.0539941
"Department of State"	0.0539824
"fire station"	0.0539396
"EU Commission"	0.0538994
"Environmental Protection Agency"	0.0538109
PPI	0.0533753
"Department of Health"	0.0533613
"Bank for International Settlements"	0.0533608
"Transportation Department"	0.0533417
Levitt	0.0533371
Gullikson	0.0532656
"Ford Motor Company"	0.0531873
"Nuclear Regulatory Commission"	0.0531793
Strauss-Kahn	0.0531246
CSX	0.0530902
Sega	0.0530274
"civil defense"	0.0529208
"National Organization"	0.0528675
"private foundation"	0.0527631
"extension service"	0.0527177
BSA	0.0526161
LaPierre	0.0525846
MACROMEDIA	0.0525702
"Food and Agriculture Organization"	0.0524528
))
("better job" (desc 12073.6) (sims
smoother	0.0641582
Leeway	0.0495709
"hard time"	0.0480525
sharper	0.0468419
utmost	0.0461522
"vocational training"	0.043613
flexibility	0.043215
"higher level"	0.0418766
))
(Betterment (desc 4862.92) (sims
well-being	0.0986667
sake	0.0874676
prosperity	0.0737811
advancement	0.0728143
rejuvenation	0.0672233
empowerment	0.0670982
welfare	0.0655107
emancipation	0.0654006
enhancement	0.0627712
lifeblood	0.0626024
modernization	0.0624769
realization	0.0607054
strengthening	0.0598678
toppling	0.0598388
revitalization	0.0596535
self-improvement	0.0589807
"quality of life"	0.0583972
reunification	0.0581168
industrialization	0.0579192
survival	0.0578501
alleviation	0.0578137
attainment	0.0571263
enrichment	0.0568125
reestablishment	0.0564665
worsening	0.0554688
equality	0.0554648
fragility	0.0554403
"nearly one-fourth"	0.0546599
cohesiveness	0.0543974
unification	0.053511
fulfilment	0.0504463
"Ninety-nine percent"	0.0504124
"over two-thirds"	0.0502789
detriment	0.0501842
rebirth	0.0492441
interdependence	0.0484559
preservation	0.0483863
microcosm	0.0482092
liberation	0.0478342
"social welfare"	0.0477628
stabilization	0.0470487
enjoyment	0.0467829
shaping	0.045844
democratization	0.0448627
governance	0.0446382
strata	0.0444943
"cross section"	0.044298
subset	0.044089
normalization	0.0436083
eradication	0.0435154
sensitization	0.0433291
dislocation	0.0427458
"Sixty-five percent"	0.0424617
materialization	0.0424285
undermining	0.0423632
mushrooming	0.0422592
powerlessness	0.0420901
reorientation	0.0419001
redemption	0.0416632
regeneration	0.0416262
annihilation	0.0415681
stratum	0.0414759
"crazy quilt"	0.0413163
enlightenment	0.0413124
Cessation	0.0409797
Diagnoses	0.0408875
laughingstock	0.0408615
impoverishment	0.0407702
"over one third"	0.0404625
upgrading	0.0404519
subsistence	0.0404027
))
(betting (desc 16156.4) (sims
gambling	0.164593
poker	0.10774
"slot machine"	0.10069
wager	0.0960682
Bingo	0.0938499
prostitution	0.0889118
parimutuel	0.0871447
simulcast	0.08654
lottery	0.083925
bet	0.0824087
bettor	0.0803779
Gaming	0.0785398
cockfighting	0.0757837
"game of chance"	0.0659954
Casino	0.0651993
blackjack	0.0639976
mutuel	0.0626779
bookie	0.0626217
"horse racing"	0.0625403
gunrunning	0.0619863
hunting	0.0609152
carrying	0.0607378
"short selling"	0.0602676
"drug abuse"	0.0578227
piracy	0.0576433
pornography	0.0573757
bribery	0.0568898
selling	0.0568224
importation	0.0565453
vending	0.056251
logging	0.0552737
Racing	0.0550762
substitution	0.0543637
bidding	0.0535244
smuggling	0.0531399
fishing	0.0529927
abortion	0.0529878
trafficking	0.0527251
trading	0.0524391
Advertising	0.0522321
drinking	0.0522028
segregation	0.0520191
dumping	0.0518454
"bond trading"	0.0514726
discrimination	0.0512937
fraud	0.0511437
transaction	0.0510312
"drug use"	0.0504739
extortion	0.0504465
copying	0.0499559
shopping	0.0499213
smoking	0.0497234
viewing	0.049696
buying	0.0493545
recruitment	0.0490501
"organized crime"	0.0489622
banking	0.0478927
lending	0.0476186
"drug trafficking"	0.0475377
resale	0.0473202
booking	0.0472622
speculation	0.0470999
payoff	0.0463705
voting	0.046364
adoption	0.0459158
euthanasia	0.0457292
barter	0.0457191
campaigning	0.0455558
"capital punishment"	0.0454097
sweepstake	0.0453595
"money laundering"	0.0450751
"air travel"	0.0450277
distribution	0.044808
registration	0.0447742
ownership	0.0445074
borrowing	0.0444804
financing	0.0444409
solicitation	0.0441462
"racial segregation"	0.0440699
"sexual activity"	0.0440294
"card game"	0.0437996
Emigration	0.0437264
andro	0.043606
sponsorship	0.0434819
"tax evasion"	0.0432245
"sexual harassment"	0.0425821
"commercial activity"	0.0425373
taping	0.0423042
pedophilia	0.0421411
poaching	0.0419811
"sales tax"	0.041772
hedging	0.0417468
"drug trade"	0.0416832
cremation	0.0416016
remittance	0.0415774
harassment	0.0414451
suicide	0.0414083
Porn	0.0409649
parking	0.0408283
spying	0.0408254
raffle	0.0407732
shipping	0.0407135
"work stoppage"	0.040654
drilling	0.0406275
Derby	0.0404327
parlor	0.0404089
retailing	0.0403642
schooling	0.0403078
alcohol	0.0402562
broadcasting	0.0402303
gambler	0.0401877
watercraft	0.0401567
surfing	0.0401025
immigration	0.0400158
))
(Bettman (desc 1282.6) (sims
Hybl	0.20291
Solis	0.173689
Schmid	0.164886
Prewitt	0.157738
Tagliabue	0.144913
Donnan	0.136857
Satcher	0.13653
Lehane	0.130358
Kerasiotes	0.130178
Hevesi	0.129688
Okada	0.126152
Finkel	0.126144
Meissner	0.124591
Ebersol	0.123712
Granik	0.122829
Valenti	0.122731
Piot	0.121711
Rossotti	0.121165
Gullikson	0.120122
Tuberville	0.119266
Sommer	0.118652
Shamshad	0.118617
Manley	0.118498
Hunsicker	0.118288
Reimer	0.117194
Gossage	0.117068
Ruehe	0.116692
Fleischer	0.116398
Safir	0.115704
Koskinen	0.11567
Marineau	0.115281
"de Charette"	0.113151
Maritz	0.113017
LaPierre	0.112941
Paxon	0.111194
Ikeda	0.110476
Whipple	0.110446
Caddell	0.110148
McCurry	0.108931
Polian	0.108811
Rylander	0.107406
Garcetti	0.106898
Molinari	0.106773
Pangalos	0.106715
Bidwill	0.106565
Maldini	0.106472
Barros	0.106299
Tomey	0.106075
Ganassi	0.105354
D'Alessandro	0.104979
Hartsburg	0.104492
Inhofe	0.103944
Passarella	0.103741
Schottenheimer	0.103473
Patel	0.102867
Leyland	0.102742
Badillo	0.102097
Lockhart	0.101968
Choate	0.10119
McGinnis	0.101098
Reinsdorf	0.101046
Wolfson	0.100946
Jacquet	0.100943
Rove	0.100772
Ainge	0.100691
Hauser	0.100605
Hirschbeck	0.10026
Dewine	0.100169
Singson	0.100089
Rahman	0.0998378
Aventajado	0.0997761
Bustamante	0.0993964
Mandelson	0.0992739
Heinrichs	0.0991191
Huggins	0.0988179
Fassel	0.0986969
Ratliff	0.0986923
Solich	0.0983687
Galvin	0.0982093
Lamberth	0.0981269
Krzyzewski	0.0981188
Klima	0.0981067
Krasniqi	0.0979026
Eizenstat	0.0978849
Beilin	0.0971253
Cashman	0.0970335
Zucker	0.0967208
Narayanan	0.0966627
Reiner	0.0965482
Bliley	0.0958644
Glickman	0.0956727
Zeroual	0.0954773
Grasso	0.0954621
Jovanovic	0.0953382
Caldera	0.0951945
Jayakumar	0.0951568
Braswell	0.0950767
Rothenberg	0.0946917
Grossman	0.0944056
Zimmer	0.0942035
Ivester	0.0939791
Zadornov	0.093971
Wilkens	0.0934946
Teresi	0.09318
Rutherford	0.093174
Canty	0.0929471
Kessler	0.0929018
Allchin	0.0928337
Spurrier	0.0928242
Nazarbayev	0.0927886
Tubbs	0.0927704
Levitt	0.0927535
Strauss-Kahn	0.0925326
Copeland	0.0922488
Advani	0.0922437
Riordan	0.0921351
Fraga	0.0919651
Brundtland	0.0917721
Lau	0.0917632
Sapp	0.0914723
Schoenfeld	0.0911851
Engelberg	0.091088
Goossen	0.0909163
Velayati	0.0909011
Rongen	0.0908547
Mercado	0.0907389
Selig	0.0907189
Rosenthal	0.0905448
McCarron	0.090512
Crenshaw	0.0903944
Constantinescu	0.0901405
McKeon	0.0900517
O'Connell	0.0899758
Sasser	0.0899737
Rubenstein	0.089786
Slocum	0.0897565
Gormley	0.0895984
Zambrano	0.0892177
Ruggiero	0.0892015
Aliotti	0.0888349
Conroy	0.0886433
Shinn	0.0886426
Bibby	0.0884764
Harkin	0.0884398
Soyinka	0.0884081
Babcock	0.0883358
Flanagan	0.0882984
Berger	0.0882891
Quackenbush	0.0882602
Aziz	0.0880552
Cowan	0.0877733
Wenger	0.0874825
Mariucci	0.0874766
Hoddle	0.0874254
"Joe Lockhart"	0.087132
Rendell	0.0871306
Linder	0.0870491
ISSEL	0.0869612
Butterworth	0.0869399
Olsen	0.0868286
Insulza	0.0867764
Sherrill	0.0865284
Azad	0.0865055
Condit	0.0864499
"Rich Brooks"	0.0863967
Leavitt	0.0862897
Schuessel	0.0861631
Tarawneh	0.086151
Cremins	0.0861388
Bildt	0.0860941
Korman	0.0859262
"Bank of Korea"	0.0858657
Davie	0.0858581
Bubb	0.0858539
Wald	0.085843
Alatas	0.0858224
Pollack	0.0857822
MURTHA	0.0856712
Rosen	0.0856194
"Secretary General Esmat Abdul-Meguid"	0.0855508
Maslyukov	0.0855391
Gauthier	0.0854862
Hayden	0.0854701
Kharrazi	0.0854096
McKinnon	0.0852936
"Dai Xianglong"	0.0852925
Shays	0.0851972
Menchu	0.0851119
Echols	0.0846956
Skiles	0.0846776
Vedrine	0.0846599
Goldin	0.0845784
"administration official"	0.0845506
Vollebaek	0.0843713
Geiger	0.0842523
Lockyer	0.0838834
Daft	0.0837872
Kennard	0.0836932
McLane	0.083549
Alarcon	0.0835072
))
(bettor (desc 4516.55) (sims
gambler	0.0969115
oddsmakers	0.0903946
parimutuel	0.0820078
betting	0.0803779
wrongdoer	0.0719781
handicapper	0.0695046
theatergoer	0.067356
shopper	0.0669712
bookie	0.0667278
simulcast	0.0657875
homebuyers	0.0647662
student-athlete	0.0645103
partygoer	0.0634969
moviegoer	0.0634114
"hotel manager"	0.0631676
jogger	0.0623693
angler	0.0614587
exerciser	0.0607369
surfer	0.0605913
listener	0.0590143
handicappers	0.0589776
speller	0.0583779
"sports fan"	0.0582521
boater	0.0582205
"home buyer"	0.0582123
filmgoers	0.0574639
"market participant"	0.0569752
duffer	0.0567236
"census taker"	0.0555427
temp	0.0553303
gamers	0.0543847
taster	0.0543585
conventioneer	0.0533357
attendees	0.0530823
speculator	0.0530814
enlistee	0.0528109
hobbyist	0.0524043
vacationer	0.0521303
"business traveler"	0.0518751
"bird watcher"	0.0516068
examinees	0.0515621
drinker	0.0513889
holidaymaker	0.0510634
dieters	0.0506923
whistle-blowers	0.050199
whistleblowers	0.0500558
depositor	0.0497787
Atlantans	0.0497445
"New York Republicans"	0.0496588
weekender	0.0496253
"beer drinker"	0.0496108
"scuba diver"	0.0495328
spectator	0.0495193
townsfolk	0.0492866
enthusiast	0.0492429
"market watcher"	0.0492122
"music lover"	0.0491337
Iowan	0.0490398
patron	0.0488605
Parisian	0.0486301
Beijingers	0.0484561
suburbanite	0.0480527
Bostonians	0.0479266
homeowner	0.0479212
"church member"	0.0475113
searcher	0.0473166
picketers	0.0472183
survivalist	0.0471018
gawkers	0.0470744
enrollee	0.0470706
celebrant	0.0469942
Hearn	0.0466952
beachgoers	0.0466309
caller	0.046455
shindig	0.0463499
cabbie	0.0463054
worshipper	0.0458822
traveller	0.0458756
taker	0.0458656
"stock trader"	0.0458503
bikers	0.0458143
looker	0.0457213
contestant	0.0454779
diner	0.0454707
panelist	0.0454507
"word of advice"	0.0454477
passersby	0.0454361
filers	0.045332
feeler	0.0452334
Quebecers	0.0451823
prognosticator	0.0451763
Lue	0.0448125
sportswriters	0.0446947
stuntman	0.0445932
Solver	0.0445068
illegals	0.0444886
"San Franciscans"	0.0444873
cardholders	0.0443888
mainlanders	0.0443448
birder	0.0442161
Philanderer	0.0441635
techies	0.0440061
bloodhound	0.0439392
keystroke	0.0439236
"market maker"	0.0439004
colonist	0.0438927
purist	0.0437596
hiker	0.0433686
first-timers	0.0431813
"toy retailer"	0.0431279
fixer	0.043067
"black person"	0.0429885
do-gooder	0.0429881
"old hand"	0.0427319
beekeeper	0.0427178
cheater	0.0424916
preschoolers	0.0424616
"risk taker"	0.0424515
businesspeople	0.0424403
forklift	0.0424388
Programmer	0.0424103
bridegroom	0.0423848
bicyclist	0.0423679
porthole	0.0421676
"senior citizen"	0.0421553
astronomer	0.0421282
"entrance fee"	0.0420003
knucklehead	0.0419152
landowner	0.0419002
"traffic cop"	0.0418361
"goose bumps"	0.041785
advertiser	0.041749
stockholder	0.0417354
"degree program"	0.0416873
Chinese-Indonesians	0.041565
spender	0.0415566
carryover	0.0415032
hippy	0.0414637
churchgoer	0.0413769
juvenile	0.0413395
"New Democrats"	0.0413152
"Di Canio"	0.0412634
connoisseur	0.0411711
snowball	0.041099
"young girl"	0.0410792
Londoner	0.0410724
diehard	0.0410459
suitor	0.041028
tenant	0.0410186
congregants	0.0409842
"travel agent"	0.0409234
admirer	0.0409161
"margin call"	0.0408771
ECN	0.0408599
pedophiles	0.0408324
"radio telescope"	0.040831
watcher	0.0407071
"temporary worker"	0.0407024
"break of serve"	0.0406631
out-of-towners	0.0404651
fella	0.0404439
tarpon	0.040301
old-timer	0.0401775
achiever	0.040106
"foster parent"	0.0400968
))
(Betts (desc 1468.35) (sims
Zuckerman	0.149041
Britton	0.14144
Chappell	0.13659
Tilberis	0.132907
Ivey	0.129274
Rivlin	0.128528
Pearce	0.124433
Goldin	0.123757
Fiorina	0.121611
Knapp	0.121487
Farber	0.121072
Markovic	0.120347
Brazile	0.118928
Kirkpatrick	0.118703
Meissner	0.118193
Lowry	0.116706
Marineau	0.115709
Grossman	0.114067
Larson	0.113386
Tharp	0.112703
Abram	0.112236
Molinari	0.111496
Sassa	0.111362
Rossotti	0.110282
Swenson	0.110001
Rowley	0.109931
Iger	0.109859
Hindery	0.109621
Dowd	0.109461
Henning	0.109109
Sorensen	0.109032
Wolfson	0.108713
McCormack	0.108616
Sheehy	0.108058
Boyle	0.107993
Forrest	0.107629
Sommer	0.107409
Troussier	0.107274
bock	0.107132
Kurth	0.107124
Baum	0.106007
Arron	0.105631
Ono	0.105557
Vogel	0.105283
Edelstein	0.10522
Pape	0.1051
Parsons	0.104498
McDonnell	0.104313
Ashrawi	0.103879
O'Sullivan	0.103277
Parrott	0.102143
Hamlin	0.101937
DeFrantz	0.101731
Bellamy	0.100973
Kurtz	0.100845
Barad	0.100673
Donnelly	0.0994027
Stephenson	0.0992689
Sherrill	0.0990251
Donohue	0.0986573
Nanula	0.0985437
Simons	0.0984528
Eisner	0.0984377
Copeland	0.0983035
Ackerman	0.0981874
Coelho	0.0980281
Jeffers	0.0975755
Greenwald	0.0974801
Gilman	0.0971588
Henley	0.0970483
Heinrichs	0.0969204
Lowery	0.0965345
Arbour	0.096484
Ruggiero	0.0962958
Briscoe	0.0962649
Milbury	0.0958349
Lockhart	0.0956639
Doyle	0.0956522
Zadornov	0.0954794
Eizenstat	0.0954666
Bratton	0.0954109
Godfrey	0.0951945
Wiggins	0.0951235
Hadley	0.0949573
Cleary	0.0949303
Rudenstine	0.094847
Manheim	0.0948233
Whitsitt	0.0946929
Grunwald	0.0946901
Snowe	0.0946416
Flanagan	0.094505
DERSHOWITZ	0.0943353
Mullen	0.0942323
Venables	0.0940868
Prewitt	0.0938008
Alexie	0.0935904
Garber	0.0935393
Cline	0.093416
Blackwell	0.0934067
Baer	0.0931275
Goossen	0.0930863
Clooney	0.0930561
Diller	0.0930158
Haines	0.0925561
Pfeiffer	0.0924352
Waxman	0.0923643
Menchu	0.0923465
Wasserstein	0.0920888
Schott	0.0919789
Zellweger	0.0916768
Felton	0.091605
Gilligan	0.0915725
Stahl	0.0914654
Darnell	0.0913341
Bullard	0.091329
Draper	0.0913087
Jorgensen	0.0912729
Tomlin	0.0911629
Pearson	0.0910342
McDaniel	0.0909773
Allende	0.0909095
Paxon	0.0908636
Monson	0.0907867
Halloran	0.0906123
Lundberg	0.0905315
Baugh	0.0904013
COYNE	0.0903682
Crocker	0.0903058
Harman	0.0901778
Weil	0.0900094
Myhrvold	0.0898957
Okada	0.0898408
Patten	0.0897758
Adler	0.0896682
Mucha	0.0895045
Rowan	0.0894097
Reimer	0.0892524
Horne	0.0892034
Berman	0.0891064
Weiner	0.0890496
Schiff	0.0889419
Oliveira	0.0887186
Blume	0.0886576
Dunham	0.0886543
Finkel	0.0886395
Halberstam	0.0885708
Kaplan	0.0883796
Townsend	0.0880765
McConnell	0.087945
O'Connell	0.0879347
Hartsburg	0.0879056
Stoneman	0.0878605
Dungy	0.087767
Joklik	0.0875996
Stacy	0.0871911
Mckee	0.0871778
Ruehe	0.0871772
Hauser	0.087168
McMillan	0.0871596
Caldwell	0.0871487
Shulman	0.0869531
Bogle	0.0868833
Shriver	0.0866332
fuller	0.0864835
Jaffe	0.0863931
Gorman	0.0863566
Merritt	0.0862222
Salinger	0.0860868
Romar	0.0859663
Woodard	0.0858524
Wilhelm	0.085755
Nilsson	0.0857443
Greenfield	0.08548
Harmon	0.0853374
Naumann	0.0852921
Jamison	0.085199
Lange	0.085158
Rothenberg	0.0850998
Kagalovsky	0.0850343
Atkinson	0.0849703
Leigh	0.084838
Levine	0.0848314
Zambrano	0.0848255
Marquez	0.0845708
Farrell	0.0845098
Mathews	0.084265
Hess	0.0842595
Seltzer	0.08425
Bubb	0.0841826
McCombs	0.0839355
Ainge	0.0838647
Doherty	0.0838277
Saunders	0.083716
Heche	0.0836452
Garvey	0.0836291
Bradford	0.0834197
Feldman	0.0833645
Moonves	0.0833091
Scruggs	0.0833085
McIntyre	0.0833009
))
(Betty (desc 9192.41) (sims
Eileen	0.14539
Susan	0.128625
Brenda	0.118594
Diane	0.118549
"Azizah Ismail"	0.11773
Lynne	0.11609
Maureen	0.115815
Nancy	0.113264
Barbara	0.112369
Patricia	0.111063
Theresa	0.109556
Lois	0.108932
Edith	0.106685
Tracey	0.106449
Pam	0.105891
Helen	0.105534
Kathy	0.105469
Anne	0.104465
Kathleen	0.104298
Doris	0.103032
Elaine	0.102179
Cindy	0.101907
Kristin	0.0984922
hazel	0.0974453
Judy	0.0973311
Dolores	0.0964837
Stephanie	0.095861
Suzanne	0.0955604
Dorothy	0.0953649
Donna	0.0945904
Nikki	0.0944775
Linda	0.0941103
Evelyn	0.0940705
Josephine	0.0937529
Sonia	0.0928688
Juanita	0.0923143
Deborah	0.0919834
Rita	0.0919347
Beverly	0.0918651
Sylvia	0.0913677
Jeanne	0.0911827
Cathy	0.0905344
Marilyn	0.0897851
Melinda	0.0893691
"Barbara Bush"	0.0893608
Beth	0.0889087
Terri	0.0886787
ANN	0.0882139
Julie	0.0881252
Carolyn	0.0881077
Teresa	0.0874852
Lisa	0.0873153
Marie	0.0871339
Karen	0.0867023
Sara	0.0856351
Martha	0.0856001
Jacqueline	0.0854649
Valerie	0.0849641
Marguerite	0.084842
Mary	0.0845435
Cheryl	0.0845362
Jill	0.0844266
Margaret	0.0844055
Hadassah	0.0843701
Laura	0.0838264
Debbie	0.0837502
Cherie	0.083581
Connie	0.0826724
Caroline	0.0826368
Shirley	0.0824339
Jennifer	0.0821973
Phyllis	0.0819133
Sally	0.0816812
Lynn	0.0815413
Tipper	0.0812759
Alice	0.0810783
Janet	0.0808707
"Graca Machel"	0.0806299
colleen	0.0804609
Sarah	0.0801409
becky	0.0797201
Denise	0.0795881
Peggy	0.0795529
Ellen	0.0794592
Debra	0.079418
Catherine	0.0792337
"Queen Noor"	0.0791354
Olga	0.0790714
Esther	0.0788716
JoAnne	0.0783761
Carol	0.0783422
Eleanor	0.0779256
Janice	0.0777445
Rebecca	0.0777119
Marlene	0.077573
Rhonda	0.0771234
Christine	0.0769241
Frances	0.0769053
Vicki	0.0768476
Laurie	0.0768318
Marianne	0.0767069
"Wang Yeping"	0.0766782
Irene	0.0766204
Jane	0.0759005
alicia	0.0749715
Erin	0.0749136
Patti	0.0745828
Judith	0.0745659
Winnie	0.0743416
Miriam	0.074085
Polly	0.0735377
Sheila	0.0733985
Kate	0.0730986
Michele	0.0727115
Lori	0.0726514
gloria	0.0725362
Emily	0.0724266
Robin	0.0722352
Pauline	0.0721903
Sheryl	0.072148
Sandra	0.0720941
Marcia	0.0720806
Norma	0.0717098
Lydia	0.0715883
Alexandra	0.0714939
Liz	0.0713725
Dora	0.0712998
Claire	0.0711396
Rachel	0.0711207
Clara	0.0708072
Kay	0.070552
Amy	0.0702688
Jackie	0.0701965
Joan	0.0700137
Millie	0.0698256
Roberta	0.069711
Maria	0.0693873
Gail	0.0693558
Betsy	0.0686472
"Lauren Bessette"	0.0686059
Annie	0.068465
Olivia	0.0683308
Joyce	0.0682088
Aurelio	0.067841
Chris	0.067783
Melanie	0.0670989
Wanda	0.0670939
Marian	0.0669381
Michelle	0.0664897
"Tipper Gore"	0.0664879
Camille	0.0664359
Brooke	0.0660536
Beatrice	0.0659277
Agnes	0.0658176
Vera	0.0656645
Kathryn	0.0656503
Heidi	0.0646938
Angela	0.064624
anna	0.0644914
Paul	0.0644515
Anita	0.0642841
Gertrude	0.0641993
Renee	0.0640556
"Patsy Ramsey"	0.0639992
Leah	0.0639354
Mona	0.0637276
Eva	0.0632023
Julia	0.0631813
Maude	0.0631764
Wendy	0.0627313
Louise	0.0624472
Elena	0.0623412
Katherine	0.0622167
Richard	0.0621176
Carrie	0.0620697
Leigh	0.0618785
tom	0.0617913
Sharon	0.0616536
Pamela	0.0614416
Rick	0.0614004
Christina	0.0613814
Hillary	0.0613189
Ashley	0.0612325
Claudia	0.0612197
Naomi	0.0611416
Audrey	0.0610244
Marta	0.0609174
"Carolyn Bessette Kennedy"	0.0605042
Elizabeth	0.0604323
Toni	0.0600374
Nina	0.0599432
Katie	0.0593751
Libby	0.059343
Cynthia	0.0592776
Nicole	0.0588982
Jamie	0.0588522
Monique	0.0587983
Andrea	0.0586542
Ethel	0.0586195
Jessica	0.0582331
))
("Betty Comden" (desc 1669.63) (sims
"Stephen Sondheim"	0.152664
"Jerome Robbins"	0.0901889
"Andrew Morton"	0.0737036
"Carly Simon"	0.057569
"Frank Wildhorn"	0.0572058
"John Cage"	0.0570749
"Irving Berlin"	0.0557904
"Sam Mendes"	0.0537575
"Gabriel Garcia Marquez"	0.050764
librettist	0.0485381
"Terrence McNally"	0.0482692
"Ken Saro-Wiwa"	0.0479597
Sondheim	0.0468053
"Bob Fosse"	0.0450489
"Ernest Hemingway"	0.0448026
"David Irving"	0.0427689
"Elton John"	0.0427404
"Gertrude Stein"	0.0424328
"Lu Xun"	0.0418215
"Vienna Philharmonic"	0.0408766
"Joe Murray"	0.0406573
"George Carlin"	0.0405401
))
("Betty Crocker" (desc 2062.98) (sims
"Julia Child"	0.110241
"Chez Panisse"	0.109595
Pillsbury	0.107806
"Weight Watchers"	0.0837904
Wheaties	0.0761377
Jell-O	0.0671331
"Good Housekeeping"	0.0606672
cooker	0.0597306
"GI Joe"	0.0595628
Haagen-Dazs	0.0566114
vegetarian	0.0550564
"chocolate chip cookie"	0.052469
videophone	0.0518026
weeknight	0.0517753
gourmet	0.0516665
housekeeping	0.0507921
shortbread	0.0504436
cornbread	0.048035
"Random Hearts"	0.0473013
IC	0.0462073
brownie	0.0460771
"skin care"	0.0460522
"pie crust"	0.0456554
Nabisco	0.0446671
"Garden of Eden"	0.0422897
soy	0.0419585
"chocolate cake"	0.0413324
Souffle	0.0411552
Nana	0.0409398
"Pennsylvania Station"	0.0407638
docker	0.0401104
))
("Betty Currie" (desc 4665.34) (sims
"Vernon Jordan"	0.244286
"Sidney Blumenthal"	0.225358
Currie	0.2154
"Bruce Lindsey"	0.179091
"Vernon E. Jordan Jr."	0.176991
"Donna Shalala"	0.160212
Blumenthal	0.155777
"Kathleen Willey"	0.154314
"Linda Tripp"	0.151801
"Andrew Cuomo"	0.148378
"Rodney Slater"	0.145418
"Henry Cisneros"	0.144416
"Robin Cook"	0.132945
"Peter Mandelson"	0.126968
"Monica S. Lewinsky"	0.125573
"Robert E. Rubin"	0.119801
"John Podesta"	0.119027
"Mo Mowlam"	0.116474
"Jia Qinglin"	0.110576
Lewinsky	0.105904
"George Robertson"	0.103876
"Lawrence Summers"	0.103836
"Jack Straw"	0.102319
"Julie Hiatt Steele"	0.101783
Willey	0.100546
"Monica Lewinsky"	0.0981198
"Ron Brown"	0.0976445
"George Stephanopoulos"	0.0971997
"Harold Ickes"	0.0966976
"Michael Portillo"	0.095758
Tripp	0.0934973
intern	0.0934602
"William Perry"	0.0921741
"Orlando Mercado"	0.0917861
"William Bennett"	0.0914753
"William Daley"	0.0909983
"Bill Richardson"	0.0897841
confidant	0.0881753
"Anson Chan"	0.0875205
"William Cohen"	0.0865908
Lindsey	0.0859112
"Alexander Lebed"	0.0857019
"Webster Hubbell"	0.0818884
confidante	0.0807665
"Dick Morris"	0.080374
"Kenneth Starr"	0.0802739
"Robert Rubin"	0.0802648
"Lloyd Bentsen"	0.0796798
"Alexis Herman"	0.0786908
"Bruce Babbitt"	0.0785966
"Paul Begala"	0.0770129
"Huang Ju"	0.0763827
"Khin Nyunt"	0.0752388
"Chris Smith"	0.0744476
Tevanian	0.0743742
"Dan Glickman"	0.0736542
"James Barksdale"	0.0730291
"Paula Jones"	0.0720422
"Erskine Bowles"	0.0711558
"Gene Sperling"	0.0710538
Ickes	0.0702461
"Michael Heseltine"	0.069725
"Yitzhak Molcho"	0.0692393
"Mike Espy"	0.06915
"Vincent Foster"	0.0690354
"Danny Yatom"	0.0672793
"Rahm Emanuel"	0.0672061
Steele	0.0668367
"James Carville"	0.0663877
"Tin Oo"	0.0654011
lied	0.0646594
"Callista Bisek"	0.0643521
Colburn	0.0640456
Babbitt	0.0633686
"Mahmoud Abbas"	0.0632801
Podesta	0.0623612
Daley	0.061702
"security adviser"	0.0607043
"Stuart Eizenstat"	0.0597512
"Lionel Jospin"	0.0596613
"drug czar"	0.0589865
Schmalensee	0.0587616
"Pat Burns"	0.0583185
McCurry	0.058182
Allchin	0.0581278
"Oliver North"	0.0572413
Siazon	0.0571853
"Dore Gold"	0.0571722
"Daim Zainuddin"	0.0569569
"Hubert Vedrine"	0.0569346
"Bora Milutinovic"	0.0564717
"Jack Kemp"	0.0563586
"Lou Holtz"	0.0562199
"Barry McCaffrey"	0.0560401
"John Morris"	0.0556893
Verney	0.0556199
Jarrell	0.0550298
"Kenneth W. Starr"	0.0547609
"Ken Starr"	0.054613
"Janet Reno"	0.0540592
"Ken Hitchcock"	0.0538148
Cisneros	0.0533754
Gephardt	0.0532539
"Karl Rove"	0.053041
"Dennis Ross"	0.0530193
Cheney	0.0529759
Caldera	0.0528556
Ratner	0.0527792
"Mike Krzyzewski"	0.0524669
Felten	0.0523851
"Linda Jones"	0.0523592
"Gregory Craig"	0.0520111
co-worker	0.0520041
"Lamar Alexander"	0.0516779
Cohen	0.0516616
"David Bar-Illan"	0.0516534
"Robert Reich"	0.0516498
"John Weaver"	0.0515322
"Dennis Green"	0.0509182
"Hillary Rodham Clinton"	0.050603
Blackthorne	0.050116
"Richard Cheney"	0.0500723
Richardson	0.0497362
"Gerry Adams"	0.0497022
Gatling	0.0496028
"Dick Cheney"	0.0495499
"Rudy Tomjanovich"	0.0490841
"Lucianne Goldberg"	0.0490816
"John Prescott"	0.048817
"foreign officials"	0.0488095
"Steve Mariucci"	0.0485864
Murr	0.0484715
FEMA	0.0484562
"David Kendall"	0.0484108
Azizan	0.0482268
"Paul Westphal"	0.0481485
Borrego	0.0479177
"Bruce Teitelbaum"	0.0478368
Glickman	0.0478302
"Norv Turner"	0.0477553
"TOM COUGHLIN"	0.0475743
Meskini	0.0474527
Pugh	0.0474428
"Inder Kumar Gujral"	0.0473432
"Chelsea Clinton"	0.0472648
Hamlin	0.0471036
"Steve Spurrier"	0.0470359
Nickerson	0.0470216
Maritz	0.0468417
Linda	0.0466825
Turetzky	0.0466254
Barksdale	0.0464953
Shevardnadze	0.0463177
Barshefsky	0.0462824
"P.J Carlesimo"	0.0460337
"Vladimir Putin"	0.0459802
Monica	0.0459688
"Pandeli Majko"	0.0459627
Cuomo	0.0458525
"Atal Behari Vajpayee"	0.0458356
"John Sweeney"	0.0456289
"Koichi Kato"	0.0454883
Eizenstat	0.0453924
Flynt	0.0453174
Rubin	0.0451159
"Alexander Hamilton"	0.045105
Gangelhoff	0.0450623
Wilhelm	0.0449727
Huizenga	0.0446869
"George Seifert"	0.044638
Flores	0.0445793
"Wei Jianxing"	0.0445743
"King Birendra"	0.0445641
"Walter Zenga"	0.0445032
Lebed	0.0443985
"Bob Knight"	0.0443805
Goldin	0.0443749
"Russell Peeler"	0.0443695
"Ahmed Tibi"	0.0443331
"Saeb Erekat"	0.0443007
"Don Zimmer"	0.0438913
Qaddafi	0.0436798
Fassett	0.0434097
"John Robinson"	0.0433167
"Dan Schnur"	0.0432748
"Madeleine Albright"	0.0431242
Ramseys	0.043027
eyewitness	0.0429878
"Yoshiro Mori"	0.0428216
Shalala	0.0426945
"Sandy Berger"	0.0426419
"cabinet member"	0.0426324
"Boris Berezovsky"	0.0425632
"Maria Hsia"	0.0425539
"power broker"	0.0423299
"Radu Vasile"	0.0422657
Azizah	0.0421745
Hwang	0.0420958
"Rick Lazio"	0.042072
Ruff	0.0420289
))
("Betty Friedan" (desc 1035.14) (sims
"David Halberstam"	0.113192
"William Styron"	0.101898
"David Irving"	0.100538
"Gabriel Garcia Marquez"	0.098672
"Larry Sabato"	0.0969537
"Wole Soyinka"	0.0911697
"Alice Walker"	0.0900511
"William Bennett"	0.0872576
"Tom Wolfe"	0.0791956
"Kurt Vonnegut"	0.0788545
"Gloria Steinem"	0.0787748
"Michael Crichton"	0.0769681
"James Jones"	0.0751979
"Anita Hill"	0.0743181
"J.D Salinger"	0.0742556
"Carolyn Maloney"	0.0737152
"Virginia Woolf"	0.0697345
Hewlett	0.0693077
Conroy	0.0667708
"Helen Clark"	0.0667479
"Graham Greene"	0.0644713
"David Duke"	0.0643493
Kasoulides	0.064236
Voltaire	0.0609205
"Ted Koppel"	0.0607746
newspaperman	0.0606779
Wenger	0.0605496
"Stephen King"	0.0603325
"Salman Rushdie"	0.0602651
"John Grisham"	0.0596991
Mayer	0.0595054
Postol	0.0584239
"J.K Rowling"	0.0580923
Proust	0.0577298
"Starr Report"	0.0576207
psychotherapist	0.056367
"Edith Wharton"	0.0558306
"George Will"	0.0557513
Sorkin	0.0548849
"film maker"	0.0546031
"Elie Wiesel"	0.0537652
"John Waters"	0.0534844
"Ted Hughes"	0.0534364
Jayakumar	0.0520163
"TOM CLANCY"	0.0516587
Krugman	0.0515883
Buthelezi	0.051182
Brunner	0.0508684
"Jacqueline Kennedy Onassis"	0.0508014
"Ayatollah Khomeini"	0.0500364
"John Prescott"	0.0500319
Wilhelm	0.0496385
Rudman	0.0496307
Naumann	0.0496173
Tintin	0.0493531
"Yossi Sarid"	0.0492713
"Weekly Standard"	0.048825
"music critic"	0.0481433
Kerouac	0.048069
Bartholomew	0.0479901
geophysicist	0.047451
"John Irving"	0.0473895
"Amien Rais"	0.0473143
"million over five years"	0.0473033
Yosef	0.0468439
"Drew Carey Show"	0.046513
Ruehe	0.0462311
Heaney	0.0461925
essayist	0.0460401
ornithologist	0.0458743
"Eric Holder"	0.0458258
Thoreau	0.0456418
"Edgar Allan Poe"	0.0452402
"T.S Eliot"	0.0450118
"Viktor Orban"	0.045003
chee	0.0449439
Hersh	0.0447818
"Jane Austen"	0.0447619
"Edmund Morris"	0.0444847
romano	0.0444417
"Barry Scheck"	0.0443246
Granik	0.0441646
"Rob Reiner"	0.0441641
Profiler	0.0440682
Hitchens	0.044027
"Geraldine Ferraro"	0.0440256
"Richard Blumenthal"	0.0439251
"Vuk Draskovic"	0.0438507
"Liu Huaqing"	0.0437512
cartographer	0.0437511
Jovanovic	0.043517
"William Hague"	0.0434599
Shara	0.0433971
musicologist	0.0433801
"Le Kha Phieu"	0.0433735
"Kenneth Clarke"	0.0432623
Tolstoy	0.0431621
"Walt Whitman"	0.0431277
"Winnie Madikizela-Mandela"	0.0430797
Skiles	0.0429903
Mayberry	0.0428417
Cavanaugh	0.0427529
"Jenny Shipley"	0.0425052
"David Remnick"	0.042217
"Xanana Gusmao"	0.0421258
Husseini	0.0421073
"Wang Dan"	0.042053
Dubus	0.0419457
"Lokendra Bahadur Chand"	0.0419195
Edelman	0.0418397
Tennant	0.0418354
"Robert Duvall"	0.0415091
"Secretary General Esmat Abdul-Meguid"	0.0413856
Khalid	0.0413354
"James Joyce"	0.0412625
"Esther Dyson"	0.0411968
Wiatt	0.0409596
Klemperer	0.0405778
"Nur Misuari"	0.040306
Maritz	0.0402312
"Ho Chi Minh"	0.0401213
Hirohito	0.0401116
"Ayatollah Ruhollah Khomeini"	0.0400266
))
(beverage (desc 25016.3) (sims
"soft drink"	0.263491
drink	0.238258
soda	0.164682
"alcoholic beverage"	0.164313
Beer	0.162575
liquor	0.159637
wine	0.152778
"mineral water"	0.150582
"household appliance"	0.145106
foodstuff	0.144186
tea	0.142697
"building material"	0.139747
"food product"	0.138
cosmetic	0.137705
"dairy product"	0.13768
food	0.137266
pharmaceutical	0.133488
"snack food"	0.132599
coffee	0.131232
"home appliance"	0.128255
"consumer goods"	0.128115
"fruit juice"	0.124788
footwear	0.122963
textile	0.122729
product	0.121472
candy	0.120467
cereal	0.119893
vodka	0.118918
snack	0.118693
apparel	0.11779
garment	0.117739
electronics	0.116522
cigarette	0.115725
fruit	0.114325
juice	0.11429
petrochemical	0.113819
meat	0.113117
tobacco	0.11299
metallurgy	0.112095
milk	0.11174
"iced tea"	0.110969
appliance	0.109846
"frozen food"	0.109598
"pet food"	0.109015
Clothing	0.108382
vegetable	0.108271
"cooking oil"	0.108152
"consumer electronics"	0.108126
dessert	0.107157
toiletry	0.106777
machinery	0.105565
fertilizer	0.103108
petroleum	0.102594
"durable goods"	0.102351
goods	0.102121
"red wine"	0.10202
cement	0.101942
chemical	0.101926
handicraft	0.101724
"canned food"	0.10142
"ice cream"	0.101315
bread	0.10081
"orange juice"	0.100744
"machine tool"	0.0996033
cola	0.0994531
confectionery	0.0992935
medicine	0.0986174
poultry	0.0981598
condiment	0.0979387
semiconductor	0.097177
automobile	0.0971253
auto	0.0969727
vitamin	0.0968917
coke	0.0965425
shipbuilding	0.0961043
alcohol	0.0954721
soup	0.0953593
"sparkling wine"	0.0951746
"raw material"	0.0950306
seafood	0.0947464
grain	0.0944285
"specialty chemical"	0.0939045
perfume	0.0938265
"consumer product"	0.0935604
lubricant	0.0926778
whiskey	0.0926314
beef	0.0922374
"soda pop"	0.0921978
champagne	0.0921738
newsprint	0.0919789
"computer hardware"	0.0915813
"health food"	0.0904835
knitwear	0.0904775
"spring water"	0.089825
tequila	0.0895592
commodity	0.0894556
brand	0.0893689
refreshment	0.0892649
sugar	0.0887923
detergent	0.0884843
jewelry	0.0883635
ceramic	0.0878946
lemonade	0.0877789
toy	0.0877051
"baked goods"	0.0877007
item	0.0873054
mineral	0.0871234
"chemical industry"	0.0868386
chocolate	0.0867429
fuel	0.0865578
metal	0.0851472
cappuccino	0.0846431
cheese	0.0846345
steel	0.0842402
biscuit	0.0841588
syrup	0.0839301
"spare part"	0.0836478
furniture	0.0835177
oil	0.0833764
"vegetable oil"	0.0833696
timber	0.0829805
"Diet Coke"	0.0829683
smoothie	0.082815
housewares	0.0822035
cider	0.0820919
"frozen foods"	0.0820028
"root beer"	0.0819074
spice	0.0817018
yogurt	0.0810676
"hot dog"	0.0808821
pesticide	0.080835
processing	0.0807257
"passenger car"	0.0805031
gasoline	0.0801918
packaging	0.0801054
bottle	0.0800341
brew	0.079906
"electronic equipment"	0.0794347
dairy	0.0793933
merchandise	0.0790892
"building product"	0.0786871
pulp	0.0784918
"motor vehicle"	0.0782874
equipment	0.0780665
rubber	0.0778263
sandwich	0.0777996
Liquid	0.0777562
Fragrance	0.077727
cocktail	0.0775195
plastic	0.0773617
supplement	0.0772519
cookie	0.0772156
pork	0.0772118
"potato chip"	0.0769232
shampoo	0.0768654
rice	0.0768625
Coal	0.0767928
meal	0.0767687
lumber	0.0767159
"communications equipment"	0.0766377
soap	0.0766067
jute	0.0764035
"palm oil"	0.0759798
machine-building	0.0758519
telecommunication	0.0757647
material	0.0757632
"household product"	0.0755841
herb	0.0749362
gas	0.0748954
"chewing gum"	0.0748103
retail	0.0746645
cocoa	0.0746384
"electric power"	0.0744022
furnishings	0.074393
grocery	0.0743875
"cashew nut"	0.0742317
pastry	0.0735682
drug	0.0735275
"white wine"	0.0733497
"milk powder"	0.0729927
sweet	0.0729503
hardware	0.0729105
cake	0.0728074
espresso	0.072643
accessory	0.0725577
caffeine	0.0725467
souvenir	0.0724642
Hamburger	0.0724055
scotch	0.0723018
aerospace	0.0722653
whisky	0.0721399
"green tea"	0.0720949
"consumer durables"	0.0719395
fish	0.0718993
lodging	0.071622
air-conditioner	0.0713747
"drinking water"	0.0712077
"tap water"	0.071089
petrol	0.0710464
rum	0.0709845
))
(Beverly (desc 4031.73) (sims
Eileen	0.187974
Kristin	0.186797
Vicki	0.161473
Doris	0.161218
Tracey	0.151953
Lynne	0.147551
Cheryl	0.144211
Diane	0.142582
Margaret	0.140505
Patricia	0.139333
Kathy	0.139063
Stephanie	0.138421
Olga	0.137862
Brenda	0.136841
Jacqueline	0.135641
"Azizah Ismail"	0.13299
Valerie	0.132525
Cindy	0.132487
Evelyn	0.131116
Pam	0.130349
Denise	0.128906
Sonia	0.128868
JoAnne	0.128447
alicia	0.127463
Cherie	0.126875
Millie	0.125714
Renee	0.124543
Cathy	0.124308
Sylvia	0.123703
Phyllis	0.123175
Josephine	0.122389
Debbie	0.120609
Irina	0.12056
Lois	0.119983
Suzanne	0.119839
Marlene	0.119519
Deborah	0.119423
Kathleen	0.119391
Edith	0.119077
Maureen	0.117915
Hadassah	0.117738
Dorothy	0.11756
Jenny	0.116787
Teresa	0.11645
Pauline	0.116222
colleen	0.115354
Lyn	0.115161
Susan	0.114925
Camille	0.114727
Carolyn	0.114222
Lori	0.114044
Frances	0.113985
Marta	0.113836
Barbara	0.113195
Jill	0.112685
Marcia	0.111702
Brooke	0.111554
Lisa	0.111551
Carol	0.111296
ANN	0.110283
Juanita	0.110182
Lydia	0.10968
Helen	0.109639
Michele	0.109387
Connie	0.109182
Terri	0.108915
Theresa	0.108358
Donna	0.108317
Janet	0.107807
Olivia	0.107618
Sheryl	0.107079
Polly	0.106976
Debra	0.10628
Elaine	0.105562
Peggy	0.105423
Christine	0.105326
Laura	0.104917
Nora	0.10469
Christina	0.104135
Michelle	0.103896
Katherine	0.103503
Lynn	0.10288
Rebecca	0.102543
Alexandra	0.102354
Somerville	0.10224
Betsy	0.10223
Meg	0.101404
Erica	0.101347
Andrea	0.101318
Westfield	0.10061
Shirley	0.100351
Laurie	0.099829
Nancy	0.0997212
Miriam	0.0991827
Naomi	0.0987774
Dolores	0.0985038
Sara	0.0984765
Claudia	0.0983238
Marianne	0.0983183
Karen	0.0982455
Kimberly	0.0979406
Judy	0.0979246
Leah	0.0978909
Janice	0.0978745
Erin	0.0976524
Jennifer	0.0972691
Julie	0.0969631
Patti	0.096683
gloria	0.0960247
"Carolyn Bessette Kennedy"	0.0956299
Beth	0.095116
Caroline	0.0948826
Brockton	0.0948474
Rita	0.094809
Beatrice	0.0946154
Elena	0.0945587
Linda	0.0945311
Annette	0.0944898
Anne	0.0942076
Karenna	0.0940789
Liz	0.094056
Monique	0.0936614
Esther	0.093259
Marian	0.0924055
Marilyn	0.0923994
"Wang Yeping"	0.0922014
Betty	0.0918651
Angela	0.0909448
Gail	0.0908588
Tipper	0.0907188
"Karenna Gore Schiff"	0.0907092
Clara	0.0900313
Natalie	0.0898241
"Graca Machel"	0.0897309
anna	0.0897052
Sally	0.0896078
Lucia	0.0895726
Kathryn	0.0894792
Sharon	0.0893205
Sandra	0.0887971
Annie	0.0884123
Anita	0.0883386
Amy	0.0882613
Eleanor	0.0881682
Melinda	0.08802
Marie	0.087491
Ellen	0.0873507
Audrey	0.0872573
Mona	0.0866893
Pamela	0.0859171
Jeanne	0.0857036
Marlborough	0.0851534
Louise	0.0849089
Emily	0.0845805
Martha	0.084444
Maria	0.0841855
Chatham	0.0840455
Rhonda	0.0840296
Acton	0.0838797
Toni	0.0836968
Sarah	0.0836874
Catherine	0.0836054
Randolph	0.0835929
Rachel	0.0834404
Susie	0.0830978
Melanie	0.0828963
Walpole	0.0826491
Tina	0.0825227
Woburn	0.0825214
Kay	0.0824895
Nicole	0.0818963
Danielle	0.081318
Stacy	0.0812455
becky	0.0812436
Robin	0.0811922
Julia	0.0805757
Nikki	0.0798132
Dana	0.0792319
Winnie	0.0791706
Courtney	0.0789623
Alice	0.0788123
Sophie	0.0786675
Vera	0.0786244
heather	0.0782579
Samantha	0.0781293
Waltham	0.0778364
Adele	0.0778093
Braintree	0.0777538
Shannon	0.0776617
Meredith	0.0775674
Needham	0.0771994
Katie	0.0771577
Bridgewater	0.0770946
Nina	0.0768816
Lawrenceville	0.0767858
Thelma	0.0765086
Terry	0.0761605
Sheila	0.0760577
Kate	0.0759708
Ashley	0.0759061
))
("Beverly Hills" (desc 20148.2) (sims
"Santa Monica"	0.128584
"West Hollywood"	0.123694
"Palo Alto"	0.119393
Encino	0.119271
Brentwood	0.113623
Pasadena	0.111666
Manhattan	0.109206
Burbank	0.108718
"Woodland Hills"	0.108254
"Studio City"	0.107447
Buckhead	0.106095
"Westlake Village"	0.105346
"Culver City"	0.105143
"East Hampton"	0.105127
Malibu	0.104644
"Palm Beach"	0.104214
"Palm Springs"	0.104035
"San Francisco"	0.102406
"Mill Valley"	0.101142
Burlingame	0.0994423
"Walnut Creek"	0.0980886
"Los Angeles"	0.0980408
Glendale	0.0976975
Tarzana	0.0975557
"Miami Beach"	0.09674
"Boca Raton"	0.0961078
Greenwich	0.0957481
"Sherman Oaks"	0.0947831
Austin	0.09462
"Overland Park"	0.092923
"Little Rock"	0.0925574
"West Palm Beach"	0.0925061
Berkeley	0.0914802
"Century City"	0.0903263
"Hollywood Hills"	0.0876053
Westport	0.0873499
"Van Nuys"	0.0872928
"La Jolla"	0.0864397
riverside	0.0847321
"Midtown Manhattan"	0.084673
Midtown	0.0845804
Providence	0.0843642
"Santa Barbara"	0.0842664
Honolulu	0.0840746
"Santa Clarita"	0.0839875
"Ally McBeal"	0.0834436
Bridgehampton	0.0831589
"El Segundo"	0.0830451
Englewood	0.0827751
Tempe	0.0825976
Calabasas	0.081859
Cambridge	0.0818531
Brooklyn	0.0818216
"Manhattan Beach"	0.0818028
Minneapolis	0.0810746
Alpharetta	0.0810034
Chatsworth	0.0808681
"Orange County"	0.0806956
"Suddenly Susan"	0.0798964
Soho	0.0796841
"Fort Lee"	0.0795334
"Greenwich Village"	0.0794822
"New York City"	0.0789894
Sacramento	0.0787233
Fremont	0.0786944
Arlington	0.0785477
Chicago	0.0782532
Memphis	0.0776618
"Palm Beach Gardens"	0.0775243
"San Antonio"	0.0773938
"Mission Viejo"	0.0770992
Scottsdale	0.0769459
Nashville	0.0769347
"Melrose Place"	0.0768212
Dallas	0.0767653
"Thousand Oaks"	0.0765986
"Fort Worth"	0.0764297
LAKEWOOD	0.0763027
"Long Beach"	0.0758111
"New Haven"	0.0755172
Emeryville	0.0754028
"Paradise Valley"	0.075348
"St. Paul"	0.0752499
"Everybody Loves Raymond"	0.0749268
"Santa Rosa"	0.0746136
Hamptons	0.0746035
"Las Vegas"	0.0744077
Albany	0.0744005
Tucson	0.0742076
"Westchester County"	0.0741723
"Santa Fe"	0.0737378
Irvine	0.0734754
Yonkers	0.0734409
"New Orleans"	0.0733875
Sausalito	0.073317
Houston	0.0729167
"San Jose"	0.0726986
"New Jersey"	0.0724713
"North Hollywood"	0.0723954
Phoenix	0.0722186
Chappaqua	0.0719803
Georgetown	0.0719485
Stamford	0.0718695
"Fort Lauderdale"	0.0718522
"Mexico City"	0.0716986
"Marin County"	0.0715732
"Delray Beach"	0.0715419
"New Rochelle"	0.071247
Chinatown	0.0711739
L.A	0.0711258
"Home Improvement"	0.0710571
LONDON	0.0709108
"Cherry Hill"	0.0708993
Harlem	0.0708328
"Spin City"	0.0707695
"San Diego"	0.0707327
Newark	0.0706815
Tijuana	0.0705946
Bedford	0.0704409
Fresno	0.0703651
Charleston	0.07028
Hollywood	0.0699133
Boston	0.0699052
"Round Rock"	0.069771
Tampa	0.0696985
"Pacific Palisades"	0.0695856
"Chicago Hope"	0.0690695
"San Rafael"	0.0689905
"East Orange"	0.0689372
Tribeca	0.0689325
"White Plains"	0.0687835
Cupertino	0.0683611
"Des Moines"	0.0683459
Albuquerque	0.0683084
"Kansas City"	0.068157
Naples	0.0681048
Rochester	0.0679953
"Silicon Valley"	0.0678233
Seattle	0.067792
"San Mateo"	0.067775
Sunnyvale	0.0677319
Nashua	0.0674787
Orlando	0.0673796
Atlanta	0.0672319
Spokane	0.0669976
"Santa Ana"	0.0669962
"Washington D.C."	0.0668292
"South Park"	0.0668239
"Huntington Beach"	0.0665854
"Newport Beach"	0.0663854
E.R	0.0663528
Richmond	0.0663144
"Jersey City"	0.0659503
Dublin	0.065933
McLean	0.065926
Hartford	0.0658483
lakeside	0.0658223
"Southern California"	0.0657829
TALLAHASSEE	0.0656704
Oxnard	0.065609
Bellevue	0.0654819
Paris	0.0654532
"Oklahoma City"	0.0653276
Braintree	0.0652969
Birmingham	0.0652452
"Bay Area"	0.0652271
Reseda	0.0647105
Torrance	0.0644516
Frasier	0.0642434
Savannah	0.0641966
Modesto	0.0639765
Alameda	0.0638946
"Long Island"	0.0638208
"NYPD Blue"	0.0637529
Madison	0.0637379
Monterey	0.0636078
Omaha	0.0635436
Felicity	0.0635195
Marietta	0.0634231
"El Paso"	0.0634073
Philadelphia	0.06338
Venice	0.0632193
Montclair	0.0632135
"Great Neck"	0.0631859
"Simi Valley"	0.063097
Columbus	0.0628764
er	0.0628438
Bethesda	0.0625092
Wellesley	0.0623949
Greenville	0.0621199
Tarrytown	0.0620456
Boise	0.0616763
"Virginia Beach"	0.0615997
"North End"	0.0615667
"Union City"	0.0613474
Brookline	0.0613137
"Coral Gables"	0.0613039
Morristown	0.0612849
"East Los Angeles"	0.0612259
"San Fernando Valley"	0.0611762
))
(bevy (desc 5817.24) (sims
gaggle	0.109496
slew	0.105612
Phalanx	0.0841695
coterie	0.0840864
plethora	0.0840258
handful	0.0753052
retinue	0.0746681
roomful	0.0719581
swarm	0.0657766
horde	0.0643925
legion	0.0596752
"close to one"	0.0594319
"core group"	0.0591084
array	0.0539895
multitude	0.0524383
raft	0.052162
cavalcade	0.0514186
urging	0.050789
assortment	0.0487576
paucity	0.0479422
"full complement"	0.0468631
perusal	0.0454393
armada	0.0445272
cadre	0.0444133
half-dozen	0.0442712
scad	0.0436247
myriad	0.0436102
smattering	0.0433645
boatload	0.0431695
scattering	0.0427375
"New Wave"	0.04198
panoply	0.0419519
dearth	0.0411366
surname	0.0405589
"short list"	0.0403152
passel	0.0401022
))
(bewilderment (desc 5785.52) (sims
disbelief	0.190486
astonishment	0.183411
dismay	0.172336
amazement	0.167237
puzzlement	0.165538
sadness	0.158668
exasperation	0.148461
wonderment	0.13738
disgust	0.133359
sorrow	0.125478
anguish	0.121712
despair	0.118028
awe	0.114764
helplessness	0.112935
frustration	0.112318
anger	0.109641
outrage	0.109487
disillusionment	0.106159
disappointment	0.105546
weariness	0.105487
foreboding	0.104678
indignation	0.104662
irritation	0.104063
trepidation	0.103387
elation	0.0998458
disquiet	0.0997061
bitterness	0.0991585
apprehension	0.0990294
defensiveness	0.0990133
powerlessness	0.0976233
confusion	0.0975913
perplexity	0.0974569
ambivalence	0.0974401
desperation	0.0968559
unreality	0.0964265
grief	0.096293
loneliness	0.0961211
incredulity	0.0959854
dread	0.0954834
self-doubt	0.0951751
Distress	0.0949879
hopelessness	0.0932412
despondency	0.0924462
discouragement	0.0912402
alienation	0.0907362
exhilaration	0.0898808
uneasiness	0.0898648
unease	0.0896768
jubilation	0.0892088
anxiety	0.089197
admiration	0.0882098
annoyance	0.0881019
heartache	0.0872741
self-loathing	0.0864491
consternation	0.0857038
disdain	0.0855569
joy	0.085217
remorse	0.0851557
delight	0.0850502
Exhaustion	0.0849269
amusement	0.0846757
revulsion	0.0840209
regret	0.0839181
heartbreak	0.0836385
restlessness	0.0833417
desolation	0.0825595
horror	0.0820364
shame	0.0818272
wistfulness	0.0806203
pity	0.0791721
agony	0.0787752
glee	0.0785596
melancholy	0.0784388
anticlimax	0.0771356
numbness	0.0770272
curiosity	0.0766854
guilt	0.0765342
resentment	0.0763206
discomfort	0.0757846
panic	0.0751373
reverence	0.0749319
distrust	0.0748989
pique	0.0746847
nervousness	0.0744345
bemusement	0.0739563
gratitude	0.0737945
sympathy	0.0736094
scepticism	0.0731588
contrition	0.0730888
dissatisfaction	0.0726578
"sense of shame"	0.0724503
satisfaction	0.0724033
angst	0.0723632
skepticism	0.071766
excitement	0.071691
emptiness	0.0715014
cynicism	0.0706073
terror	0.0701322
disapproval	0.0699367
impatience	0.0695787
happiness	0.0695525
pessimism	0.0690219
irritability	0.068853
euphoria	0.0677138
insecurity	0.0670293
boredom	0.0669205
unhappiness	0.0668517
giddiness	0.066834
embarrassment	0.0663652
fatalism	0.0660711
pleasure	0.0660683
wariness	0.0657685
disenchantment	0.0652378
self-pity	0.0650601
distaste	0.0649088
contempt	0.0644234
optimism	0.0643751
suspense	0.0641408
spontaneity	0.0639793
rawness	0.0629499
pandemonium	0.0628923
levity	0.0628163
mistrust	0.0628049
mirth	0.0627367
ignorance	0.0624138
disorientation	0.0614264
humiliation	0.0610039
nostalgia	0.0603495
fearlessness	0.0601314
immaturity	0.0591491
awkwardness	0.0589262
misery	0.0588852
displeasure	0.0584805
fury	0.0582949
poignancy	0.0582727
affection	0.0578409
longing	0.0578371
enchantment	0.0578331
humility	0.0576573
contentment	0.0575101
repulsion	0.0572728
aggravation	0.0572487
apathy	0.0569724
bereavement	0.0568484
dislocation	0.0568133
yearning	0.056571
rapture	0.0564769
condescension	0.0562718
bonhomie	0.0560204
paranoia	0.0555471
self-satisfaction	0.0555225
esteem	0.0554324
cockiness	0.0551528
scorn	0.055114
immediacy	0.0549763
torment	0.0548242
jealousy	0.0546719
anticipation	0.0546394
"memory loss"	0.054353
chagrin	0.0542033
fascination	0.0541172
self-consciousness	0.0539439
malaise	0.0539428
skittishness	0.0538292
loathing	0.0533152
"civic pride"	0.0530683
envy	0.0530665
overconfidence	0.0529043
vulnerability	0.0528843
detachment	0.0528623
introspection	0.0526966
self-esteem	0.0526672
derision	0.0525114
indifference	0.0524119
fragility	0.0524052
playfulness	0.0523141
nonchalance	0.0521037
misgiving	0.051814
futility	0.0517968
normality	0.0517088
sarcasm	0.0516746
equanimity	0.0512731
inkling	0.051247
bleakness	0.0512058
permanence	0.0511354
tenderness	0.0507628
reassurance	0.0506959
discontent	0.0505386
indecision	0.0504599
catharsis	0.0503006
hilarity	0.0501632
recrimination	0.0500353
isolation	0.0497749
exuberance	0.0493519
nausea	0.0492451
hypotheses	0.0492347
hopefulness	0.0490353
finality	0.0487518
sincerity	0.048461
irony	0.0482536
))
(Beye (desc 2628.77) (sims
Ikimi	0.147116
Tarawneh	0.142815
Kasoulides	0.141638
"de Charette"	0.138501
Jayakumar	0.128801
Brahimi	0.128095
"Lakhdar Brahimi"	0.127019
Jovanovic	0.123911
Nzo	0.123286
Husseini	0.116759
Juppe	0.114096
Chiluba	0.113486
Nyerere	0.112801
Ruehe	0.112499
Alatas	0.111483
Rifkind	0.111433
Velayati	0.110856
Moratinos	0.110853
Soares	0.110675
Ahtisaari	0.109032
Imperatori	0.108285
Wolfensohn	0.107969
Kyprianou	0.107938
Vollebaek	0.107721
Boutros-Ghali	0.107173
Khai	0.10703
Abdel-Meguid	0.106982
Bouteflika	0.104535
Severino	0.104275
Harmoko	0.10381
Sihanouk	0.103656
Satcher	0.103222
Zou	0.102456
Bulatovic	0.102352
Malu	0.101795
Rawlings	0.10175
Stoyanov	0.101686
Leghari	0.10125
Mkapa	0.100851
Chavalit	0.100668
Chissano	0.100327
Komura	0.0998233
Pustovoitenko	0.0992302
Koirala	0.0988543
Sumaye	0.0983026
Goh	0.0971821
Nazarbayev	0.0969592
Blix	0.0967676
Zuma	0.0965927
Kabariti	0.0958566
Luo	0.095818
Primakov	0.0957072
Chevenement	0.0955917
"John Paul"	0.0954572
Frei	0.0954468
Aziz	0.0953836
Ogata	0.0951048
Eizenstat	0.0950484
Yastrzhembsky	0.0948129
Scharping	0.0934161
Murayama	0.0933589
Hariri	0.0932972
Brittan	0.0931146
Nkomo	0.0930002
Juma	0.0929586
Kinkel	0.0928043
Atwood	0.092463
"De Soto"	0.0920754
Singson	0.0920611
Shevardnadze	0.0915946
D'Alessandro	0.0912736
Coelho	0.0912281
"Mike Leavitt"	0.0912225
Holbrooke	0.0910737
Zeng	0.0909185
Surin	0.0909125
Stroyev	0.0907891
Ivester	0.0903406
"Lee Hsien Loong"	0.0902796
Nateq-Nouri	0.0899787
Solana	0.0898623
Constantinescu	0.0898275
"Christopher Hill"	0.0896736
Mandelson	0.0894145
Posner	0.0892965
Rodionov	0.0892607
"Richard C. Holbrooke"	0.089086
Vasile	0.0887129
Wan	0.0886984
Mukora	0.0883656
Deng	0.088318
Yandarbiyev	0.0883036
Indyk	0.088285
Farrakhan	0.088217
Buthelezi	0.0879579
Izetbegovic	0.0874624
Diouf	0.0873767
Ivanov	0.0871614
Camdessus	0.0871253
Symons	0.0870706
Meles	0.0870159
Rong	0.086975
Strauss-Kahn	0.0869461
Khaddam	0.0865984
Erbakan	0.0863502
Maslyukov	0.0861065
Vogts	0.0857187
Aleman	0.0856031
Ritter	0.0855649
Kharrazi	0.0855267
Waigel	0.0851773
Shareh	0.0848824
al-Sahaf	0.0847697
Meguid	0.0847588
Trudeau	0.0846031
Shamshad	0.0846013
Galindo	0.0845953
Xanana	0.0844538
Koskinen	0.0844262
Ikeda	0.0843342
Koehler	0.0840808
Brundtland	0.0839449
"Faisal Husseini"	0.0838733
Aventajado	0.0838607
Ecevit	0.0837684
Santer	0.0836192
Klima	0.0835878
Piot	0.0833467
Peres	0.0833126
Daley	0.0831475
Moussa	0.08314
Cem	0.0828909
Blackman	0.0828709
Fischer	0.0826115
Bambang	0.0825411
Kasyanov	0.0821346
Coverdell	0.0820048
Kumaratunga	0.0819784
Leung	0.0819777
Papandreou	0.0819583
Azad	0.0817199
Akayev	0.0816725
"Carl Bildt"	0.0813714
Granic	0.0812228
Herron	0.0810734
Cao	0.0810251
Menem	0.081013
Krasniqi	0.0809008
Qiao	0.0807822
Majali	0.08071
Axworthy	0.0806058
Sato	0.0805583
Dudayev	0.0803925
Weizman	0.0803313
Gowda	0.0803191
Kok	0.0802386
Mandela	0.0802084
Phills	0.0801878
Dodik	0.0801739
"Richard Holbrooke"	0.0800515
Bruton	0.0800481
Museveni	0.0800462
Yu	0.0799794
Baz	0.0799236
Krajisnik	0.0798678
McKinnon	0.0797189
Mitterrand	0.0796982
Zhirinovsky	0.0796485
Lebed	0.0795842
McCurry	0.0794335
Nkabinde	0.0793999
Hybl	0.0793649
Begala	0.0791104
Gaddafi	0.079077
Hu	0.0788832
Nujoma	0.078707
Musharraf	0.0785564
Tsang	0.0785399
Machel	0.0784841
Boueiz	0.078322
Seleznyov	0.0782724
Jia	0.07822
Hevesi	0.0782005
Dini	0.0781394
Nasrallah	0.0780017
Chuan	0.0778653
Hamid	0.0775569
Kostov	0.0774861
"John Kennedy Jr."	0.077052
Camacho	0.0770487
"Bashkim Fino"	0.0769943
Zeroual	0.0768791
Obuchi	0.0768217
"Griffith Joyner"	0.0766384
Katsav	0.0766258
Portillo	0.0765941
Prueher	0.0765725
LaBella	0.0765672
Mordechai	0.0764683
Bildt	0.0764438
))
(Bezos (desc 1543.12) (sims
Mizrahi	0.0850075
Jayakumar	0.0829623
Kornberg	0.0827376
McCurry	0.081203
Ruehe	0.0787436
Pearce	0.0758863
Harman	0.0756387
Eizenstat	0.0747251
Havelange	0.0735235
Korman	0.0725102
Finkel	0.071627
Pustovoitenko	0.0712615
Margolis	0.0709068
Hargrove	0.0707553
Icahn	0.0703275
Fleischer	0.0694917
Sheehan	0.0681345
"administration official"	0.0668754
Napolitano	0.0665308
Ratner	0.0655227
Allchin	0.065513
Diouf	0.0653764
Walesa	0.0653338
Junger	0.0650499
Schiller	0.0649835
Farah	0.0649586
Kessler	0.0647381
Manley	0.064098
Sassa	0.0634712
Rawabdeh	0.0631535
Wald	0.0630409
Rylander	0.0627851
Eran	0.0627568
McManus	0.0626503
Wolfson	0.0623696
Jorgensen	0.0622739
Myhrvold	0.0621595
Leventhal	0.0620304
Kennard	0.0617431
Bochco	0.0616452
Calloway	0.0616228
Halberstam	0.0612258
Goldin	0.0611895
Coulter	0.061146
Siegel	0.0610842
Babcock	0.060826
Samuelson	0.060764
Moonves	0.0606547
Zucker	0.0603946
Zarb	0.0600039
Kauffman	0.0596434
Malu	0.0594622
Meissner	0.0593781
Bustamante	0.0593166
Boucher	0.0588775
Gehry	0.0587148
Harrell	0.0586746
Heinrichs	0.0584062
Klein	0.0582777
Krugman	0.0582729
Eisenman	0.0578232
Menchu	0.0577797
Valenti	0.0576377
Kanell	0.0574397
Arens	0.0573838
Skiles	0.0571213
Mayer	0.05712
Lessig	0.0569197
Jager	0.0569101
Naumann	0.0569085
Gaston	0.0567075
Marineau	0.0565699
Schmalensee	0.05656
Kuhn	0.0562568
Orton	0.0560016
Allard	0.0559476
Venables	0.0559305
Olbermann	0.0559246
McDonnell	0.0558773
Saatchi	0.055749
Caddell	0.0555329
Parsons	0.0554873
Glaser	0.0554228
Bronfman	0.055379
TALBOT	0.0553639
Advani	0.0551985
Weil	0.05499
"carte blanche"	0.0549365
Silas	0.0548914
Willard	0.0548393
Lockhart	0.0548052
Clements	0.0546706
Neff	0.0546464
Engel	0.0544803
Alioto	0.0541879
Felten	0.0541736
Conte	0.0541471
Bautista	0.0540876
Polian	0.0540786
Cashman	0.0540059
McCabe	0.0540015
Dougherty	0.0539297
Izetbegovic	0.0539293
Tharp	0.0538995
Fassel	0.0537886
Hiddink	0.0537312
DERSHOWITZ	0.0537159
Pinkerton	0.0535695
Rodionov	0.053324
Koskinen	0.053289
Lawson	0.0532847
Chenoweth	0.0531955
Romer	0.0531558
Cooley	0.0531456
Kouchner	0.0531011
Peretz	0.0530465
Glickman	0.0530036
Teledesic	0.0529646
Condit	0.0528821
Sorkin	0.0528101
Gillick	0.0527894
Rossotti	0.052643
SSB	0.0525751
Paulson	0.0525295
Molinari	0.0524025
Brundtland	0.0523345
Sutter	0.0522939
Devine	0.0522549
Cianci	0.0522243
Troussier	0.0521859
Wellstone	0.0521741
Eubanks	0.0521462
Wetherell	0.0521172
Zuma	0.0520138
Bowen	0.0519882
Sheng	0.0518994
Scharping	0.0518295
Gullit	0.0518233
Kahn	0.0517828
Meeks	0.0517152
Epstein	0.0516451
hodgson	0.0516367
Kurth	0.051627
Larsen	0.0514916
Wynn	0.0514143
Siazon	0.0514019
Wasserman	0.0513744
Demaci	0.0512228
Tarantino	0.0512154
Baucus	0.0512126
Byrne	0.0512001
Kurtz	0.0511796
McIntyre	0.0511245
Severino	0.0509695
Moratinos	0.0508268
Iger	0.0508191
"Johnny Oates"	0.0508111
Ghalib	0.0508078
Boyle	0.0507497
Waxman	0.0507476
Kerasiotes	0.050704
Ribbeck	0.0507033
Ruthardt	0.0505917
Sahadi	0.0505469
Ackerman	0.0505226
Daft	0.0504792
Darnell	0.0504773
Landau	0.0504309
Breuer	0.050412
Whitacre	0.0503538
Conroy	0.0502529
Scioscia	0.0502184
Beasley	0.0501941
"John Cornyn"	0.0498075
Holl	0.0497782
Condon	0.0497453
Cleary	0.0495336
Safir	0.0495253
Bolger	0.0495039
Redstone	0.0492569
McCaw	0.0492078
Brandt	0.0491873
Liggett	0.0491013
Morgenthau	0.0490958
Muir	0.0489203
Zadornov	0.0488566
Galvin	0.0487873
Barad	0.0487718
Daschle	0.0487309
Hybl	0.0486357
Ciampi	0.0486242
Hersh	0.0484987
Kushner	0.0484903
Zimmer	0.048376
Vialli	0.0483486
Musa	0.0482491
Bernabe	0.0481717
Felton	0.0481168
Ellsworth	0.0480886
Dwyer	0.0480503
))
(bhang (desc 1580.63) (sims
khat	0.139977
marihuana	0.139622
"sugar beet"	0.126026
opium	0.125522
cannabis	0.116988
marijuana	0.111862
coca	0.106511
"oil palm"	0.100297
hashish	0.0994331
"sugar cane"	0.0978935
"opium poppy"	0.0976269
poppy	0.0912351
sugarcane	0.0862473
hemp	0.0786824
sisal	0.0691786
Chara	0.0690179
cacao	0.0684421
maize	0.0650135
"ammonium nitrate"	0.0629745
Burley	0.0627366
barley	0.0599662
amphetamine	0.0577541
buckwheat	0.0569591
methamphetamine	0.0548502
cashew	0.0532162
alfalfa	0.0526932
meth	0.052613
cocoa	0.0520528
cassava	0.0506436
LSD	0.0498322
"palm oil"	0.0493361
"over @@@ tons"	0.0490978
morphine	0.0489929
parkland	0.0476028
sorghum	0.0471377
blueberry	0.0463782
methamphetamines	0.0460088
paddy	0.0443438
"San Joaquin Valley"	0.0442406
"blast furnace"	0.0436398
Optics	0.043391
"sawed-off shotgun"	0.043298
Kitona	0.0432051
"electrical device"	0.0428577
gingko	0.0423826
"hard drug"	0.0420768
"body weight"	0.041847
"five kilograms"	0.0403512
))
("Bharatiya Janata Party" (desc 9592.14) (sims
BJP	0.30627
"Congress Party"	0.233468
"United Front"	0.20923
"Nepali Congress"	0.200411
"Pakistan Muslim League"	0.184532
"Bangladesh Nationalist Party"	0.184437
"Awami League"	0.17767
"National Party"	0.167138
"Likud Party"	0.164611
"Liberal Democratic Party"	0.163517
"Social Democrats"	0.159189
"People's Party"	0.157504
"Social Democratic Party"	0.157115
"Labor Party"	0.155409
Likud	0.154012
"Janata Dal"	0.152161
"Inkatha Freedom Party"	0.151012
"Christian Democrats"	0.150443
CPN-UML	0.150128
"Socialist Party"	0.149949
"National League for Democracy"	0.14874
"Croatian Democratic Union"	0.147546
"African National Congress"	0.145979
"Christian Democratic Union"	0.143476
FUNCINPEC	0.14303
LDP	0.140568
CPP	0.140276
BNP	0.139098
UF	0.137738
"Cambodian People's Party"	0.13765
NC	0.13763
"Christian Social Union"	0.137186
"Liberal Party"	0.135313
socialist	0.134439
Awami	0.134409
"National Religious Party"	0.132513
"United National Independence Party"	0.13234
"National Front"	0.129314
"Communist Party"	0.12836
"New Aspiration Party"	0.128302
"National Democratic Alliance"	0.125144
"Kenya African National Union"	0.12513
"Zimbabwe African National Union-Patriotic Front"	0.124826
"Popular Party"	0.12432
"Nationalist Party"	0.124147
"United National Party"	0.123746
Jamaat-e-Islami	0.123257
SPD	0.123113
"New Korea Party"	0.12291
"United Democratic Movement"	0.121796
Meretz	0.121636
"Institutional Revolutionary Party"	0.121097
"Democratic Party"	0.119775
"National Action"	0.118546
"Freedom Party"	0.117961
MQM	0.117746
"Liberal Democrats"	0.117148
"Sam Rainsy Party"	0.116245
"Conservative Party"	0.114586
PML	0.11312
"National Action Party"	0.112414
"Ulster Unionists"	0.112155
"United Malays National Organization"	0.111979
RPR	0.111896
"Democratic Left"	0.111449
ANC	0.110417
Golkar	0.110329
center-right	0.109842
"Democrat Party"	0.108423
"Colorado Party"	0.108267
RPP	0.10781
"Serbian Radical Party"	0.107785
Coalition	0.106424
PPP	0.10619
UNIP	0.105776
Renamo	0.105696
FRELIMO	0.104889
"Democratic Progressive Party"	0.103893
"National Resistance Movement"	0.103762
"Islamic Salvation Front"	0.103457
"Ulster Unionist Party"	0.103407
PRI	0.102451
"Democratic Action"	0.101465
PML-N	0.100834
"Indonesian Democratic Party"	0.100491
"National Alliance"	0.10028
UNP	0.0998269
"Civic Democratic Party"	0.0995605
Yabloko	0.0995311
"Sonia Gandhi"	0.0982319
"Muslim Brotherhood"	0.098046
"National Democratic Party"	0.0980092
MMD	0.0974966
PASOK	0.096269
"Shas Party"	0.0961463
"Center Party"	0.096137
"Grand National Party"	0.0958995
"Justice Party"	0.0955807
"Social Democratic"	0.0954263
NP	0.0942871
"political party"	0.0937538
CDU	0.0931647
Shas	0.0929457
"Parti Quebecois"	0.0926772
"New Democracy"	0.0924549
Lakas-NUCD	0.0922664
"People's Alliance"	0.0917511
"Serbian Renewal Movement"	0.0917447
"Radical Party"	0.0911729
"People's Democratic Party"	0.0910474
"Sam Rainsy"	0.0910427
"Herri Batasuna"	0.0903481
"Green Party"	0.0901328
PDP	0.0885373
Otpor	0.0881785
Koirala	0.0879529
Kanu	0.0878186
"Free Democrats"	0.0871844
"Democratic Revolution Party"	0.0868978
"Canadian Alliance"	0.0867262
"Free Democratic Party"	0.0867196
Zanu-pf	0.0866173
"Virtue Party"	0.0864559
"Golkar Party"	0.0861238
CCM	0.0860107
"United Liberal Democrats"	0.0855512
"Russian Communist Party"	0.0852277
"U.S. Soccer Federation"	0.0850466
"Sinn Fein"	0.0843576
"Baath Party"	0.0840562
Hariri	0.0837778
Tory	0.0837758
"Democratic Unionist Party"	0.0831434
"Megawati Sukarnoputri"	0.0831306
"Sudan People's Liberation Army"	0.0830896
PRD	0.0830416
Communist	0.0830382
SDP	0.0829044
"Pan Africanist Congress"	0.0827285
nationalist	0.0827135
"Reform Party"	0.0820826
"Rwandan Patriotic Front"	0.0816451
"Motherland Party"	0.0815036
"Freedom Union"	0.0803524
"paramilitary organization"	0.0797606
Alliance	0.0791375
"Philippine Senate"	0.0791249
"Barisan Nasional"	0.0777558
RUF	0.0777006
UMNO	0.0774375
MPLA	0.076996
FN	0.0769607
"National Rifle Association"	0.076506
NRA	0.076153
UDF	0.076013
AFL-CIO	0.0754479
"National Liberation Front"	0.075306
"Union of Right Forces"	0.0749238
center-left	0.0745462
faction	0.0744074
"Revolutionary Party"	0.0743863
Amal	0.0741726
"New National Party"	0.074069
UML	0.0739065
DSP	0.0736144
IFP	0.0735232
"Vladimir Zhirinovsky"	0.0734889
"Kurdistan Democratic Party"	0.0732002
"Northern Alliance"	0.0729937
"Nation Party"	0.0728854
"Board of Supervisors"	0.0725865
bloc	0.0724186
"Democratic Left Party"	0.072418
Poplasen	0.0721397
"Joerg Haider"	0.0721198
"Freedom Front"	0.0719589
DYP	0.0718583
Taliban	0.0717918
"Promise Keepers"	0.0712152
Mugabe	0.0709716
"Jean-Marie Le Pen"	0.0706521
"Patriotic Union of Kurdistan"	0.0705982
"Family Research Council"	0.0705478
"Third Way"	0.0702159
"Republican Party"	0.0699974
junta	0.0697745
NLD	0.0697486
"Sher Bahadur Deuba"	0.0696436
Fatah	0.0694294
"Democratic Revolutionary Party"	0.0692313
Zajedno	0.0687612
Haider	0.068385
"reform movement"	0.0683591
"H.D Deve Gowda"	0.0683516
"Binyamin Netanyahu"	0.0683177
Vajpayee	0.0681699
Deuba	0.0680692
Gowda	0.0679698
"Islamic Welfare Party"	0.0678081
"Christian Coalition"	0.067807
))
(Bhattarai (desc 884.716) (sims
"Krishna Prasad Bhattarai"	0.294988
Koirala	0.258668
Rodionov	0.204517
"H.D Deve Gowda"	0.194797
Yadav	0.194534
Thapa	0.192347
"Wlodzimierz Cimoszewicz"	0.191223
Deuba	0.181978
Gowda	0.180768
Rawabdeh	0.180521
Fabius	0.178263
Lipponen	0.17407
"Bashkim Fino"	0.172178
"Girija Prasad Koirala"	0.169721
"Fayez Tarawneh"	0.169482
"Deve Gowda"	0.165373
"Pascoal Mocumbi"	0.164829
Venables	0.160545
"Kiichi Miyazawa"	0.160261
"Lokendra Bahadur Chand"	0.159697
Vogts	0.158592
Stoyanov	0.158235
Kulikov	0.156814
Erbakan	0.15661
Masire	0.156388
Gujral	0.155776
Sahnoun	0.154769
"Abdul Salam Majali"	0.154334
"Pandeli Majko"	0.153429
Spyridon	0.150658
"Inder Kumar Gujral"	0.150426
"Lamberto Dini"	0.148168
"Tim Fischer"	0.146283
"Khaleda Zia"	0.145773
"Wim Kok"	0.143496
"Goran Persson"	0.142807
"Atef Obeid"	0.142605
Talebi	0.142568
"Fatos Nano"	0.141812
Kasoulides	0.141759
Majko	0.140825
"Laurent Fabius"	0.140411
Kabariti	0.139869
"Radu Vasile"	0.13946
Chavalit	0.138661
Abdel-Meguid	0.138126
"Noboru Takeshita"	0.137853
"Valery Pustovoitenko"	0.137595
Kesri	0.136826
Vasile	0.135357
"I.K Gujral"	0.134427
Chand	0.133989
Moratinos	0.133948
"Amnuay Virawan"	0.133698
"Norodom Ranariddh"	0.133079
"Necmettin Erbakan"	0.132832
Zeroual	0.131817
"John Bruton"	0.131726
Ciampi	0.131686
"Sepp Blatter"	0.131376
"Sheikh Saad"	0.131288
"Sher Bahadur Deuba"	0.130798
Alarcon	0.130581
Rao	0.130544
"Salim Hoss"	0.130364
Diouf	0.129514
"Robert E. Rubin"	0.129467
"Antonio Guterres"	0.129453
Meles	0.129016
"Ung Huot"	0.128694
Brundtland	0.128283
"Gro Harlem Brundtland"	0.126687
Fino	0.126291
"Frederick Sumaye"	0.125665
Nujoma	0.124805
Banharn	0.124787
"P.V Narasimha Rao"	0.124666
Aventajado	0.124659
"Momir Bulatovic"	0.124362
Musa	0.124213
"Jerzy Buzek"	0.123836
Nzo	0.123605
autocrat	0.123512
Shipley	0.122856
al-Hariri	0.122522
"Romano Prodi"	0.122333
Misuari	0.122043
"Secretary General Esmat Abdul-Meguid"	0.121748
"Tomiichi Murayama"	0.121722
Iger	0.121451
Meguid	0.121412
D'Alema	0.120835
"Yuri Maslyukov"	0.120813
Klima	0.120396
Dodik	0.120127
Majali	0.119835
Guterres	0.119767
"Benazir Bhutto"	0.119747
"Bill Skate"	0.119625
Nano	0.119477
Nkomo	0.119462
Katsav	0.119294
Siazon	0.119092
Alatas	0.11845
"Victor Chernomyrdin"	0.118048
"Atal Bihari Vajpayee"	0.118011
"Chavalit Yongchaiyudh"	0.117986
"Edmund Ho Hau Wah"	0.117872
"Chief Executive Tung Chee-hwa"	0.117694
"Tansu Ciller"	0.117488
Sumaye	0.117482
"Yoshiro Mori"	0.117422
"Vo Van Kiet"	0.116843
"Mikhail Kasyanov"	0.116672
"Helen Clark"	0.116433
"Sergei Stepashin"	0.116195
Zuma	0.115949
Paxon	0.115821
"Mesut Yilmaz"	0.115243
Lebed	0.114962
"Abdul Karim Kabariti"	0.114949
"Lee Kuan Yew"	0.114618
"John Danforth"	0.114256
Axworthy	0.113877
"Alain Juppe"	0.113738
Muluzi	0.113613
Wiranto	0.113465
Waigel	0.113361
Bulatovic	0.113359
"Begum Khaleda Zia"	0.112955
Gurirab	0.112466
"King Birendra"	0.112405
Blazevic	0.112156
Duisenberg	0.112021
"de Charette"	0.111653
DiCarlo	0.111638
"Gulbuddin Hekmatyar"	0.111584
"Vladimir Meciar"	0.111476
Nazarbayev	0.111355
Ashrawi	0.111223
"Vaclav Klaus"	0.111214
Velayati	0.111062
Lazarenko	0.110864
Izetbegovic	0.110677
Prodi	0.110564
Hybl	0.110267
"Tareq Aziz"	0.110136
Muoi	0.109967
Ershad	0.109927
Aguirre	0.109909
Ghalib	0.109761
"Kim Jong-pil"	0.109448
"Ivan Kostov"	0.108994
Ikimi	0.108631
Chuan	0.108496
"Andreas Papandreou"	0.108403
Shaath	0.108307
Nouri	0.108221
Hariri	0.108185
Bishara	0.108031
"Lee Hsien Loong"	0.107931
el-Ganzouri	0.107908
Soares	0.107607
Goh	0.107539
Rossotti	0.10748
Hasina	0.107389
Ecevit	0.107182
"Ryutaro Hashimoto"	0.106841
Juppe	0.106765
Espinosa	0.106685
Bruton	0.106684
Azad	0.10665
Gullit	0.106627
Granic	0.106575
Stroyev	0.106483
"Mahmoud Zouebi"	0.106392
Simitis	0.106369
Neeman	0.106327
"Secretary General Esmat Abdel-Meguid"	0.106178
Murayama	0.106139
Sergeyev	0.105502
Lamberth	0.105166
Ganzouri	0.10516
Dehaene	0.104772
"Pakalitha Mosisili"	0.104677
Coia	0.104562
Cubas	0.104182
Orban	0.103958
Yilmaz	0.103843
"Carl Bildt"	0.103837
Abubakar	0.103659
Severino	0.103555
"Tony Coelho"	0.103509
Harmoko	0.103501
Hekmatyar	0.103377
Eran	0.103316
Mkapa	0.103109
Ruehe	0.102943
Bucaram	0.102833
Holl	0.102736
Kharrazi	0.102735
"Felipe Gonzalez"	0.102727
Stepashin	0.102694
DPR	0.102523
Kazhegeldin	0.102455
"John Major"	0.102344
conferees	0.102116
Preval	0.101991
Ruthardt	0.101946
Ribbeck	0.101901
"Chea Sim"	0.101729
Hamad	0.10166
Lari	0.101586
Museveni	0.101559
"Meles Zenawi"	0.101306
Leghari	0.100589
Montiel	0.100576
GSS	0.100457
NCEC	0.100276
))
(BHP (desc 9481.03) (sims
"Rio Tinto"	0.439124
WMC	0.399305
"National Australia Bank"	0.336756
"Commonwealth Bank"	0.327882
ANZ	0.325096
Westpac	0.315254
"Commonwealth Bank of Australia"	0.294195
"News Corp"	0.258948
Telstra	0.23581
"Straits Times Index"	0.194072
AMP	0.193206
NAB	0.186313
"Wireless Optus"	0.178667
"Industrial Index"	0.166181
"Straits Times Industrials Index"	0.155612
"Carter Holt Harvey"	0.152536
Nikkei	0.146164
"CAC @@"	0.144758
"Xetra Dax"	0.140952
"Telecom Corp."	0.137806
Telecom	0.137669
"Nikkei Stock Average"	0.136893
"preferred shares"	0.134913
scrip	0.13382
"HSBC Holdings"	0.130516
"Fletcher Energy"	0.129686
SPH	0.124631
"Hang Seng Index"	0.122669
"Composite Index"	0.121942
industrials	0.121582
"News Corp."	0.121115
"bond price"	0.118683
"Emas Index"	0.118251
"FTSE @@@"	0.114318
"Lion Nathan"	0.11428
"Second Board Index"	0.11147
"Tokyo Stock Price Index"	0.111013
sub-index	0.1096
"Philippine Stock Exchange Index"	0.108914
UAL	0.106556
sharemarket	0.106128
"Dow Jones Industrial Average"	0.105603
EMC	0.105396
"BP Amoco"	0.104722
"blue chip"	0.104321
"Bovespa Index"	0.101994
"GE Life"	0.101827
"Creative @@"	0.10167
DAX	0.100965
blue-chips	0.100876
"JDS Uniphase"	0.100359
Amgen	0.100271
"De Beers"	0.0999358
"Air New Zealand"	0.0995272
CRA	0.0988152
"Procter &AMP; Gamble"	0.0987026
"Weighted Price Index"	0.0986847
Schlumberger	0.0978964
"blue-chip stock"	0.097143
Healtheon	0.0966267
CMGI	0.0964637
"Brierley Investment"	0.0964637
RJR	0.0963313
Qualcomm	0.0949457
"Eli Lilly"	0.0947172
"Hang Seng China Enterprises Index"	0.0943158
Ciena	0.0943019
Telkom	0.0940442
Mobil	0.0936663
"Fletcher Building"	0.0928538
Lukoil	0.0927718
Emulex	0.0923949
CMG	0.0923409
Dow	0.0923358
"technology issue"	0.0922147
ALZA	0.0921495
"Hang Seng"	0.0917796
PLDT	0.0917586
"SPH @@@"	0.091314
McKesson	0.0908494
Eni	0.0907621
commonwealth	0.0906931
"Glaxo Wellcome"	0.0903144
PacCent	0.0900275
"Exxon Mobil"	0.0898487
Monsanto	0.0893254
"Fletcher Paper"	0.0892837
"Australian dollar"	0.0891641
Barclays	0.0888271
"Johnson &AMP; Johnson"	0.0887706
Unilever	0.0887061
STI	0.0885264
"Thermo Electron"	0.0882129
"U.S. Trust"	0.0880435
ENTREMED	0.087961
HSI	0.0879343
Nasdaq	0.0879283
Genentech	0.0872416
"HBO &AMP; Co."	0.0869487
"futures price"	0.0866952
VENATOR	0.0866948
Honeywell	0.0866413
"Vodafone AirTouch"	0.0859043
Bovespa	0.0858446
Chevron	0.0856959
"Cisco Systems"	0.0856233
AstraZeneca	0.0854648
Gazprom	0.085125
CBA	0.0844801
Starwood	0.0840991
SmithKline	0.08395
Intel	0.0837968
Halliburton	0.0837382
YPF	0.0837118
Texaco	0.0835331
index	0.0830913
Citigroup	0.0830659
Alcoa	0.0830474
Vodafone	0.082906
"Deutsche Telekom"	0.0824512
"ordinary shares"	0.082124
Nortel	0.0820363
Denel	0.0817928
"Reed Elsevier"	0.0816281
FT-SE	0.0811129
Pfizer	0.0809836
Novartis	0.0809725
HSBC	0.080857
"Advanced Micro"	0.0808122
Ericsson	0.080723
AutoNation	0.0805687
CAC-@@	0.0805258
Seagate	0.0803617
Hewlett-Packard	0.0801302
Enron	0.0798915
"Dell Computer"	0.0795868
"MCI WorldCom"	0.0792364
Healtheon/WebMD	0.0792195
Mannesmann	0.0788396
"Niagara Mohawk"	0.078598
"Union Carbide"	0.0784155
db	0.0783709
Aegon	0.078262
AMR	0.0779836
"Philip Morris"	0.0779778
"RJR Nabisco"	0.0779177
REVLON	0.0778539
Astra	0.0778316
Stocks	0.0776417
"P&AMP;G"	0.0775679
TELLABS	0.0775673
bullion	0.0774184
NatWest	0.0773273
"Rite Aid"	0.0772208
"Dow Jones"	0.0769942
Composite	0.0769847
"SmithKline Beecham"	0.0768539
Alcatel	0.0768286
Telebras	0.076667
"Hang Seng China-Affiliated Corporations Index"	0.0766296
Priceline.com	0.0765513
"City Development"	0.0763504
Biogen	0.0759965
Viacom	0.0759541
Mattel	0.075953
Vivendi	0.0759088
"Tele-Communications Inc."	0.0757774
Sensex	0.0756924
Warnaco	0.0752493
Merck	0.0750589
"Auckland Airport"	0.0750518
Cendant	0.0747617
Hoechst	0.0747494
TYCO	0.0740468
"Cisco Systems Inc."	0.0739234
RAMBUS	0.073897
Totalfina	0.0737833
Pepsico	0.0737263
PETROBRAS	0.0735659
"J&AMP;J"	0.0734176
"Berkshire Hathaway"	0.0732164
Woodside	0.0729283
Bestfoods	0.0728499
"American Express"	0.0724759
Gillette	0.0724507
"Hutchison Whampoa"	0.072359
"Philippine peso"	0.0723516
"UAL Corp."	0.0721245
"Kenyan shilling"	0.0721123
Siemens	0.0719559
IBM	0.0719283
"Computer Associates"	0.0718847
Genzyme	0.0718608
Corning	0.0717831
"Fletcher Forest"	0.0716812
Aetna	0.071592
"Canal Plus"	0.0715896
"Nippon Telegraph"	0.0714365
"Times Mirror"	0.0714261
Renault	0.0713307
))
(Bhutan (desc 10100.7) (sims
Maldives	0.185254
Nepal	0.141297
Laos	0.139668
Bangladesh	0.132354
Brunei	0.130038
"Viet Nam"	0.127578
Swaziland	0.125844
Burma	0.123473
"Sri Lanka"	0.122842
Myanmar	0.11986
Cambodia	0.117122
Oman	0.115151
"Papua New Guinea"	0.112416
Algeria	0.106165
Turkmenistan	0.105882
Malaysia	0.105379
Pakistan	0.10494
Qatar	0.103516
Thailand	0.102846
Madagascar	0.100395
Lesotho	0.100372
India	0.100342
Mongolia	0.100102
Kyrgyzstan	0.099983
Vietnam	0.0995717
Uzbekistan	0.0986817
Philippines	0.0972002
Niger	0.0969444
Sudan	0.0940529
Morocco	0.093744
"Saudi Arabia"	0.0936565
Senegal	0.0931878
Fiji	0.092981
Egypt	0.0907919
Ethiopia	0.0902825
Yemen	0.090218
Mauritius	0.0895829
Indonesia	0.0895725
Guinea	0.0891859
Mali	0.0891474
Singapore	0.0889578
Iran	0.0888988
Ghana	0.0888607
Guatemala	0.0874783
Bahrain	0.0872245
Namibia	0.0869513
Armenia	0.0867969
Mozambique	0.0859238
Kuwait	0.0849384
Libya	0.0835494
Nigeria	0.083507
Poland	0.08303
"United Arab Emirates"	0.0828618
"Republic of Korea"	0.0828372
Peru	0.0827187
"South Korea"	0.0824895
Djibouti	0.0822481
Afghanistan	0.0818779
Tibet	0.0811422
Malawi	0.0810671
"South Africa"	0.0808304
Bolivia	0.0802662
Benin	0.079931
Mauritania	0.0799087
Togo	0.0798192
Kenya	0.0793014
"Burkina Faso"	0.0790277
Tanzania	0.0785625
Nicaragua	0.0776714
Zambia	0.0776403
Botswana	0.0772598
Lao	0.0762071
Hungary	0.0761719
Burundi	0.0760043
Eritrea	0.0759801
Tunisia	0.0756156
"El Salvador"	0.0753652
Turkey	0.0751848
Kazakhstan	0.0751232
Angola	0.0747075
Tajikistan	0.0746194
Ecuador	0.0740928
"New Zealand"	0.07387
Haiti	0.0738364
Jamaica	0.0736776
Cuba	0.0732
Azerbaijan	0.0729422
Uganda	0.0728237
Bulgaria	0.0726679
Norway	0.0724949
Chad	0.0722339
Portugal	0.0721082
"North Korea"	0.0717346
"Dominican Republic"	0.0716491
Liberia	0.071556
Venezuela	0.0714688
Yunnan	0.0712762
Somalia	0.0711622
Lithuania	0.0706247
Honduras	0.0704017
Zimbabwe	0.0702453
Spain	0.0701047
DPRK	0.0700964
Albania	0.0700657
Ukraine	0.0697982
Belgium	0.0695866
Romania	0.0691786
Lebanon	0.0682654
"Asian nation"	0.0682519
Gabon	0.0678654
"Cape Verde"	0.0675455
Belarus	0.0675177
Zaire	0.0674456
Palestine	0.0671075
Greece	0.0669699
Ireland	0.0667441
Moldova	0.0665585
Syria	0.0665478
Panama	0.0661854
"Asian country"	0.066007
"United Kingdom"	0.0657277
Luxembourg	0.0656952
Rwanda	0.0654733
Congo	0.0654722
Kingdom	0.0651862
Tuvalu	0.0648806
ROK	0.064849
"African nation"	0.0646133
Colombia	0.0645033
Austria	0.0642391
Macedonia	0.0642321
Chile	0.0641415
Netherlands	0.0638237
Uruguay	0.0637402
Slovenia	0.0637088
UAE	0.0633716
"African country"	0.0632744
Tonga	0.0629582
Argentina	0.062888
SAARC	0.0628632
Abkhazia	0.0625823
Sweden	0.0620633
Iceland	0.0620198
Cyprus	0.0618481
Switzerland	0.0617582
Korea	0.0617188
Finland	0.060924
Malta	0.060908
Kazakstan	0.0608991
SEOUL	0.0605772
"Ivory Coast"	0.0605152
"Costa Rica"	0.060469
Guyana	0.0600181
Croatia	0.0593261
Guinea-Bissau	0.0591713
Barbados	0.0585783
Taiwan	0.0582947
Cameroun	0.0580409
Tbilisi	0.0579382
Estonia	0.0575423
"Qinghai Province"	0.0574666
"Sierra Leone"	0.05718
"European country"	0.056996
Slovakia	0.0568437
Seychelles	0.0567524
Tripoli	0.0565715
ADB	0.0562896
Bali	0.0562347
PNG	0.0562285
BUCHAREST	0.0560962
"West Timor"	0.0557988
Denmark	0.0554025
PYONGYANG	0.055027
DHAKA	0.0549895
Suriname	0.0544829
Paraguay	0.054365
Grenada	0.0539212
"Yunnan Province"	0.0538541
Kabul	0.0537853
"Phnom Penh"	0.0537402
"Tibet Autonomous Region"	0.0535377
Islamabad	0.0535288
mainland	0.0534933
"Democratic People's Republic of Korea"	0.0534844
"Trinidad and Tobago"	0.0530681
"South Asia"	0.0528059
Damascus	0.0528019
KIEV	0.0527599
Scotland	0.0527171
Dushanbe	0.0522236
"Southeast Asia"	0.0521807
Guangdong	0.0520435
"Democratic Republic"	0.0516427
Belize	0.051607
HANOI	0.0514854
Sichuan	0.0513992
Kathmandu	0.0512382
Lhasa	0.0509432
Czechoslovakia	0.0507619
"Guizhou Province"	0.05075
))
(Bhutanese (desc 1439.82) (sims
Liberian	0.101611
Eritrean	0.0937566
Honduran	0.0935112
Hmong	0.0930265
Burundian	0.0916583
Guatemalan	0.0883546
VMs	0.0876881
Mozambican	0.0869942
Salvadoran	0.0853481
Mongolian	0.0816705
Zairean	0.0779195
"Kosovo Serbs"	0.0756761
"Kosovar Albanians"	0.0749515
Navajos	0.0745315
"garment worker"	0.0716281
"Russian Jews"	0.0701692
"East Timorese"	0.0701679
"Iraqi POWs"	0.0692847
sixth-graders	0.068319
Chinese-Indonesians	0.0681478
"Sri Lankans"	0.0677625
Shayler	0.0674444
Haitian	0.0667297
"San Franciscans"	0.0655324
enumerators	0.0653147
Laotian	0.0648333
"Albanian Kosovars"	0.0648026
Georgian	0.0640085
"displaced person"	0.0637705
Timorese	0.0627664
registrant	0.0625222
Malian	0.0624977
Japanese-Americans	0.0617975
"Iraqi Kurds"	0.0607504
motorcyclists	0.0607276
Lileikis	0.0583076
Nepalese	0.0579066
"Cuban Americans"	0.0573448
Papon	0.0572874
sortie	0.0568642
Einhorn	0.0568132
"North Africans"	0.0566262
third-graders	0.0546767
"South Koreans"	0.0540716
"Greek Cypriots"	0.0540343
"drug addict"	0.0539683
Cypriot	0.0538476
Koreans	0.052834
stone-throwers	0.0527255
Irishmen	0.0525337
non-Albanians	0.0524458
Soyinka	0.0523252
webcams	0.0522928
Namibian	0.0522101
Hutu	0.0518748
Nasrin	0.051464
asylum-seekers	0.0511695
noncitizens	0.0509512
"temporary worker"	0.050632
Nicaraguan	0.0505062
Ecuadoreans	0.0504296
"North Carolinian"	0.0504095
"political detainee"	0.0503526
farmworkers	0.0503159
"North Koreans"	0.0500306
twentysomethings	0.0497601
evacuee	0.0497136
Bucaram	0.0492183
"Sierra Leonean"	0.0491146
Duvalier	0.0488935
celebrant	0.0487707
Moslem	0.0484424
"Bosnian Muslims"	0.0477797
Guterres	0.0476081
nobleman	0.0474741
Oregonian	0.0472342
Hutus	0.0472073
herdsmen	0.0471537
Arizonan	0.0468275
deserter	0.0467495
orangutan	0.0465543
Xanana	0.0465455
Hui	0.0465019
lama	0.0463842
Harrer	0.0463211
Cepeda	0.0462989
emigrant	0.0462472
CF	0.0462329
Brunner	0.0461698
"polling booth"	0.0461182
Lazarenko	0.0459715
"census taker"	0.045649
tribals	0.0454874
"political dissident"	0.0453063
"one hundred"	0.0452297
parolee	0.0451816
Floridian	0.0450145
"three pitchers"	0.0449585
Ghanaians	0.0449199
non-Serbs	0.0449055
Croatians	0.0447278
optometrist	0.0447273
Athenian	0.0446965
Cuban-Americans	0.0446937
Brazill	0.0446619
DiCarlo	0.0443216
laid-offs	0.0442899
Swazi	0.0442783
Zou	0.0442337
Hamad	0.0441649
"European Jews"	0.0441488
"department employee"	0.0439662
Beijingers	0.043954
picketers	0.0439245
Chechens	0.0439232
"another @ million"	0.0439067
McWilliams	0.0438962
Chinese-Americans	0.043858
Faget	0.0434455
"El Hage"	0.0432213
non-Muslims	0.043161
Hightower	0.0431554
illegals	0.0429108
businesspeople	0.0427457
snowmobilers	0.0426139
"Costa Rican"	0.0425738
"Princess Mononoke"	0.0424028
Levesque	0.0423154
Berber	0.0423143
hemophiliac	0.0423052
Guei	0.042284
"South Carolinian"	0.0418954
Abbas	0.0417237
Daigle	0.0415321
"Islamic Welfare Party"	0.0414915
"Israeli Arabs"	0.0413569
Pickering	0.0413495
stowaway	0.0413328
"military man"	0.0412813
Blackman	0.0412689
LeBlanc	0.041191
infantrymen	0.0410711
preschoolers	0.0410558
Suppan	0.0409059
"second person"	0.0408937
MKO	0.0408678
worshiper	0.040638
Paraguayan	0.0405512
enrollee	0.0405284
Kopp	0.0405129
caribou	0.0404494
Kiareldeen	0.0403397
"roughly @@@,@@@"	0.0403393
lemming	0.0402681
Ohioan	0.0402282
"medical institution"	0.0402004
))
(Bhutto (desc 6604.01) (sims
Benazir	0.245543
"Benazir Bhutto"	0.223015
Gujral	0.164998
Deuba	0.153315
Chavalit	0.150667
Sharif	0.146065
Hasina	0.144024
"Khaleda Zia"	0.138767
Kagalovsky	0.136513
Bulatovic	0.135054
Koirala	0.134001
Schuessel	0.133776
Vasile	0.133557
LeFave	0.132628
Lipponen	0.131891
Banharn	0.131664
Neulander	0.127556
Erbakan	0.126658
Gowda	0.126656
Lazarenko	0.126221
Soliah	0.125907
Ecevit	0.124989
Vajpayee	0.124041
Rao	0.123322
Tudjman	0.122683
Menem	0.120606
Aznar	0.120154
Chuan	0.119821
Rodionov	0.119396
Kinkel	0.119303
Rawabdeh	0.118207
Berisha	0.118128
Dehaene	0.117804
Guterres	0.117709
Weizman	0.117198
Diouf	0.116352
Bedie	0.116099
Kimes	0.115856
Bucaram	0.115214
Berenson	0.113699
Blackthorne	0.113693
Hanley	0.112433
Ciller	0.111257
Hiett	0.110543
Aquino	0.109999
Shipley	0.109525
Velayati	0.109224
Chretien	0.10907
Klestil	0.109058
Kazhegeldin	0.108733
Abernathy	0.107382
Kumaratunga	0.107331
Yadav	0.10729
Berlusconi	0.107218
Cisneros	0.107165
Rafsanjani	0.106963
Stoyanov	0.106818
Hariri	0.106759
Alarcon	0.10674
Kaunda	0.106656
Symington	0.106637
Mokhehle	0.106572
D'Alema	0.106244
Gotti	0.106198
Ramos	0.106091
Markovic	0.105378
Musharraf	0.105167
Kasoulides	0.104962
Moratinos	0.104711
Stayner	0.104508
Sheinbein	0.104497
Yilmaz	0.1042
Samper	0.103791
Leghari	0.103761
Scalfaro	0.103706
Granic	0.103657
Hamid	0.103542
Jospin	0.103527
"de Charette"	0.102472
Sharma	0.101767
Deri	0.101342
Ranariddh	0.101112
Fortier	0.101093
Salinas	0.100978
Rifkind	0.100977
Sumaye	0.100855
"Atal Behari Vajpayee"	0.100828
Kabariti	0.100617
"Nawaz Sharif"	0.100584
Pangalos	0.100559
Pustovoitenko	0.10038
Aleman	0.100124
Mikhailov	0.100044
Mugabe	0.100015
Brundtland	0.0998699
Komura	0.0998531
Skakel	0.0997823
Mkapa	0.0997574
Ershad	0.0996324
Rabbani	0.0996101
Shriver	0.0994534
Mordechai	0.0993633
Haouari	0.0992759
Clerides	0.0991681
Nazarbayev	0.0988982
Mitnick	0.098709
Ogata	0.0983007
Peres	0.0981881
Menchu	0.0980315
Ikeda	0.097985
Nujoma	0.0979703
Azad	0.0979484
Zuma	0.0977998
Hashimoto	0.097694
"Hun Sen"	0.0976738
Olson	0.0975145
Manbar	0.0974499
Arbour	0.0973335
Kuchma	0.0972203
Wolfensohn	0.0971107
Chirac	0.0970785
Lundy	0.0970428
Meguid	0.0970201
Baez	0.0970169
Capano	0.0966979
Ashrawi	0.0965225
Simitis	0.0964936
Aziz	0.0963043
Kostov	0.0959753
Djukanovic	0.0959449
Marcos	0.0956847
Jovanovic	0.0954363
Hsia	0.0950126
Khai	0.0949604
Villanueva	0.0949555
Musa	0.0948945
Rakhmonov	0.0948217
Akayev	0.0945978
Daley	0.0944098
Zeroual	0.0942266
Abbas	0.094206
"Atal Bihari Vajpayee"	0.0941212
Noriega	0.0941131
Chand	0.0940056
Chaudhry	0.0939619
Luong	0.0937684
McVeigh	0.0937615
Soeharto	0.0937596
"Binyamin Netanyahu"	0.0936821
Kurth	0.0935543
Abdel-Meguid	0.093505
Obasanjo	0.0932224
Lim	0.0930868
Fagan	0.0929781
Khalil	0.0929319
McDougal	0.0927041
Lundberg	0.0924876
Harris-Lewis	0.0921794
Chiluba	0.0921029
Shulman	0.0920654
Mandela	0.0919473
Garofalo	0.0919425
Tsvangirai	0.0918349
"Chavalit Yongchaiyudh"	0.0917658
Dini	0.0917391
Juppe	0.0915691
Dodik	0.0913652
Ahern	0.0913071
"Raul Salinas"	0.0912717
Majali	0.0912525
Barrionuevo	0.0912275
Goh	0.0910269
Hanna	0.0909877
Museveni	0.090966
Orban	0.0908741
Muluzi	0.0908204
Constantinescu	0.0907856
Wahid	0.0906375
Cardoso	0.0906014
Mbeki	0.0905724
Donohue	0.090546
Kwasniewski	0.0905201
Ding	0.0904273
Nouri	0.0904165
Lukashenko	0.09041
Brawley	0.0903869
Kok	0.0903179
Obuchi	0.0899704
Drabinsky	0.0897712
Sheppard	0.0896447
Vasquez	0.0895416
Bhattarai	0.0894697
Phieu	0.0892636
Sergeyev	0.0892228
Shevardnadze	0.0891155
Mori	0.0890808
"Sheikh Hasina"	0.0890213
Poplasen	0.0890053
Grachev	0.0889794
khan	0.0888891
))
(Bi (desc 3318.82) (sims
"Bank Indonesia"	0.159073
"Bank of Zambia"	0.137301
"Bank of Israel"	0.128063
Bundesbank	0.11388
"Bank of Italy"	0.111089
TDB	0.109247
"Hong Kong Monetary Authority"	0.108588
"Bank of Thailand"	0.104077
PBOC	0.101826
"reserve bank"	0.101414
Tat	0.099508
ILO	0.0983073
SSB	0.0963831
"Defense Agency"	0.096208
CBK	0.0948754
IDB	0.0922869
HKMA	0.091909
BIA	0.0918493
"Bangladesh Bank"	0.091481
BOI	0.0910136
IEA	0.0910009
"Reserve Bank of India"	0.0908963
BOJ	0.0907393
ADB	0.0904376
WEF	0.0895998
"People's Bank of China"	0.0891745
ITU	0.0889004
IPU	0.0873846
"Organization for Economic Cooperation and Development"	0.0861751
FAO	0.0846446
"U.S. Soccer Federation"	0.0844006
WIPO	0.0842988
"Bank of England"	0.084178
"Reserve Bank of Australia"	0.083824
UNIDO	0.0832754
Wada	0.0832038
"Bank Negara"	0.0830444
TAZARA	0.0819498
PATA	0.0809238
AFA	0.0799227
UNEP	0.0793562
"Philippine Central Bank"	0.0789002
UNESCO	0.078002
"Bank of Japan"	0.0770239
"Bank of Uganda"	0.0747427
ECA	0.0746243
SDB	0.074367
UNTAET	0.0741811
PECC	0.0730432
INEC	0.0725993
"Bank of China"	0.0725758
ECB	0.0725268
ADL	0.072376
KPA	0.0723514
UNHCR	0.0722893
UNCTAD	0.0720427
OECD	0.0714099
"Ethics Commission"	0.0712689
"Federal Emergency Management Agency"	0.071066
"World Tourism Organization"	0.0710515
CBI	0.0709518
Kasoulides	0.0705438
CAA	0.0702679
Biogen	0.070058
"Bank of Korea"	0.0699803
ISO	0.0699037
WFP	0.069621
UNICEF	0.0693993
Sheng	0.0692222
NRC	0.0686861
Interpol	0.068647
SDMI	0.0678027
UNDP	0.0677955
"Federal Reserve Board"	0.0676972
Zeng	0.0676503
CBO	0.0675236
"Bank of Canada"	0.0673463
OCA	0.0673175
UPU	0.0671761
"Baath Party"	0.0667339
ESCAP	0.0667036
BASF	0.0666581
"Monetary Policy Committee"	0.0666061
Singson	0.0660389
Rong	0.0658356
Tsang	0.0657918
"World Bank"	0.0657328
Zou	0.0657181
"Russian Space Agency"	0.0656637
TDC	0.0656619
"European Community"	0.0655778
Media-MOST	0.0649321
"European Central Bank"	0.0648097
NSC	0.0645718
UNAIDS	0.0644212
EC	0.0638719
OAS	0.0638116
Sha	0.0637128
CITIC	0.0635757
GCC	0.0634574
CEC	0.0633268
UNFPA	0.0632521
"Asian Development Bank"	0.0630505
ABB	0.0626938
Ida	0.0623892
"U.S. Congress"	0.0623077
JMC	0.0621453
NLD	0.0620577
Ruehe	0.061952
"Bank for International Settlements"	0.0618922
"William Morris"	0.0618757
"Israeli Cabinet"	0.0617487
Cui	0.0616592
"U.S. Federal Reserve"	0.0616014
"Census Bureau"	0.0615465
MTA	0.0615354
"Labor office"	0.0614072
DMV	0.061339
"Alcoholics Anonymous"	0.0613125
"national bank"	0.0612651
COMESA	0.0612149
HKTA	0.0611582
"civil defense"	0.0607635
"U.N. World Food Program"	0.060715
AARP	0.0605927
AstraZeneca	0.0605507
"Special Olympics"	0.0603454
"Economic Planning Agency"	0.0603355
GEC	0.0600708
IAEA	0.0600516
USOC	0.0600121
RBA	0.059817
Kyprianou	0.0596406
UNRWA	0.0593973
ISTAT	0.0593805
FEMA	0.059256
SBA	0.0592108
"Investors Service"	0.0589568
Eurostat	0.0589535
"Sdn Bhd"	0.058941
Zhong	0.0589255
Velayati	0.058924
UPI	0.0589038
"Department of Public Safety"	0.0585275
RNC	0.0585238
"planning board"	0.0585225
"Kosovo Verification Mission"	0.0584771
"U.S. Census Bureau"	0.0583465
"Central Bank of Nigeria"	0.0583097
OPIC	0.0581587
"New York Civil Liberties Union"	0.05807
SDPC	0.0580653
"U.S. government"	0.0580596
Boueiz	0.0580432
ATA	0.0580172
"Electoral Commission"	0.0580141
IAI	0.0579474
"Housing Authority"	0.0577725
GSS	0.0577461
Gao	0.0576727
Massport	0.0575232
CMAG	0.0574627
"Central Bank of Kenya"	0.0572983
"Congress Working Committee"	0.0572697
GANNETT	0.0572181
"U.S. Fed"	0.057043
SAARC	0.0568597
"Recording Industry Association of America"	0.056731
OIC	0.0567047
ARATS	0.056704
"Health Ministry"	0.0566752
Brittan	0.0566698
IFC	0.0565724
Inman	0.056476
Meissner	0.056411
"Agriculture Ministry"	0.0563823
"Carter Center"	0.0563769
EPA	0.0562833
Arens	0.0562585
"Congressional Black Caucus"	0.0561822
FIA	0.0561611
CIRC	0.0561136
Guterres	0.0560573
Yun	0.0559553
"U.S. Immigration and Naturalization Service"	0.0558658
"Rainbow/PUSH Coalition"	0.0558621
NTSB	0.0557203
WEU	0.0556119
"National Police"	0.0555659
SPS	0.0555591
BoT	0.0554816
FSA	0.0554226
FSB	0.0552561
Fatah	0.0551115
Pinkerton	0.0550216
NCI	0.0549233
"Arab League"	0.0548272
OSHA	0.054725
ATC	0.0546319
EOHR	0.0546301
))
(BIA (desc 1498.86) (sims
CAA	0.187352
DEP	0.169397
FSA	0.155191
"Boys Ranch"	0.149028
"Defense Agency"	0.148164
DMV	0.144427
GSS	0.142526
FEMA	0.136099
"Bureau of Indian Affairs"	0.134382
NRC	0.129617
INEC	0.126667
SDPC	0.125503
UNAMET	0.119442
UNRWA	0.119102
"Interior Department"	0.119005
NSA	0.118578
TAZARA	0.116273
"Housing Authority"	0.114132
"patent office"	0.112293
NHTSA	0.112071
FSB	0.11161
"Forest Service"	0.110081
SAS	0.109905
USTA	0.109783
SBA	0.109038
NSC	0.108402
"Economic Planning Agency"	0.108375
LAUSD	0.10794
va	0.107449
OCA	0.107278
BLM	0.107202
"Social Security Administration"	0.107124
"Texas Department of Public Safety"	0.107094
Overnite	0.106998
"Park Service"	0.105964
FAA	0.105271
NIH	0.104983
NLRB	0.104424
OSHA	0.10434
"New York Police Department"	0.103895
NTRA	0.102335
"Ethics Commission"	0.102209
HHS	0.101855
"Department of Motor Vehicles"	0.101831
USEC	0.101511
DEA	0.101462
"Census Bureau"	0.101243
IAI	0.101141
NEA	0.101099
"National Republican Congressional Committee"	0.100593
"Department of Public Safety"	0.100019
IEC	0.0989018
HCFA	0.0987096
"National Economic Council"	0.0985039
CIRC	0.0984436
WIPO	0.0981208
EEOC	0.0978196
PNP	0.0975783
"Truth Commission"	0.0975606
F.A	0.0974801
Caltrans	0.0973014
"Culture Ministry"	0.096546
CPS	0.0964864
CBI	0.0958084
"U.S. Forest Service"	0.0957309
HKTA	0.0956449
"civil defense"	0.0955215
MTA	0.0954799
Comelec	0.0950905
BOJ	0.094423
Massport	0.0938635
EPA	0.0935025
"Russian Space Agency"	0.0928363
EBRD	0.0925657
"Federal Emergency Management Agency"	0.0925022
"U.S. Immigration and Naturalization Service"	0.0924747
"Nuclear Regulatory Commission"	0.0922764
INS	0.0921945
KPA	0.0920095
Bi	0.0918493
IEA	0.0915484
NTSB	0.0915321
"Department of Corrections"	0.0913998
"New York Civil Liberties Union"	0.0912802
DS	0.0911562
"P&AMP;G"	0.0910692
FPL	0.0905873
"Immigration and Naturalization Service"	0.0900222
ENTERGY	0.0893824
Pemex	0.089203
"National Highway Traffic Safety Administration"	0.089116
ATF	0.088934
CCF	0.0884628
PUC	0.0882692
"U.S. Soccer Federation"	0.0875833
"National Park Service"	0.0869888
"World Vision"	0.0869423
"Environmental Protection Agency"	0.086799
Netcom	0.0867647
RNC	0.086456
ICRC	0.0861841
FEC	0.0861549
"Georgia Power"	0.0861104
"Education Department"	0.0859473
ACOG	0.0859167
MSF	0.0856394
"Drug Enforcement Administration"	0.0850294
IRS	0.0846461
"Southern Command"	0.0845672
USAID	0.0842025
CBK	0.0838419
"Pac Bell"	0.0838039
HUD	0.083685
MFA	0.0832356
"U.S. Treasury Department"	0.0830746
"Health and Welfare Ministry"	0.0825116
"American Red Cross"	0.0819443
USDA	0.0817805
CEC	0.0815545
"U.S. Fed"	0.0814394
KPFA	0.0812262
FCC	0.0811734
"U.S. Environmental Protection Agency"	0.0809695
FAO	0.0807639
"Appropriations Committee"	0.0805972
DP	0.0803521
"Con Edison"	0.0803119
"Port Authority"	0.0802488
"Kosovo Verification Mission"	0.0800067
CFTC	0.0798755
"Los Angeles Unified School District"	0.0798598
"Justice Ministry"	0.0798421
"state government"	0.0797535
"Transportation Department"	0.0796827
PLN	0.0796809
SSB	0.0793085
ECB	0.0792958
"Senate Banking Committee"	0.0792615
"election commission"	0.0789739
"Fish and Wildlife Service"	0.0789565
RCMP	0.0788403
"British Foreign Office"	0.0786075
HKFA	0.0785806
UNIDO	0.0783711
"customs service"	0.0783117
"United Way"	0.0782864
SDP	0.0782821
PBA	0.0779701
"Rules Committee"	0.0779565
Pacifica	0.077422
"Salt Lake Organizing Committee"	0.0774063
"Department of Transportation"	0.0773736
EC	0.0773205
MDC	0.0772923
OSCE	0.0772735
FDA	0.0772544
"EU Commission"	0.0772121
SCLC	0.0770292
"Russian Orthodox Church"	0.077008
"Federal Aviation Administration"	0.0769133
"English department"	0.0768401
"US State Department"	0.0765354
"College Board"	0.0763709
Bundesbank	0.0763395
CCA	0.0763355
Archdiocese	0.0762984
Zagat	0.0758921
CDC	0.0757913
"El Al"	0.075666
"Transport Ministry"	0.0755225
"Department of Energy"	0.0751941
UNTAET	0.075024
"Human Rights Commission"	0.0748511
"DeKalb County"	0.0748227
UNHCR	0.074805
ILO	0.0747991
NCR	0.0747926
"Home Ministry"	0.0747017
"Health Department"	0.0746645
"Central Intelligence Agency"	0.0746546
NARAL	0.0745385
Cs	0.0745228
Das	0.0744516
VISTEON	0.0742943
ITC	0.0742933
"National Science Foundation"	0.0742118
CUC	0.0740822
counterterrorism	0.0736378
"Department of Environmental Protection"	0.0735862
CSE	0.0735549
IAEA	0.0735364
"Con Ed"	0.0734159
BOK	0.0733736
CNPC	0.0732808
"Civil Aviation Authority"	0.0731407
DNR	0.072904
"Family Research Council"	0.0728582
DFG	0.0726822
IAAF	0.0726313
BOI	0.0724531
))
(Bianca (desc 1282.19) (sims
Cheryl	0.101955
Eileen	0.101692
Marian	0.0961666
Josephine	0.0935891
Annette	0.0935073
"Azizah Ismail"	0.0933168
Naomi	0.0922803
Roberta	0.0870473
Patricia	0.0829547
"Patsy Ramsey"	0.0822038
Sonia	0.0808623
Marlene	0.079924
alicia	0.0788883
Jacqueline	0.0787657
Marguerite	0.0785923
Katherine	0.0783573
Audrey	0.0782897
Miriam	0.075921
Irina	0.0758236
Lucia	0.0756468
Dorothy	0.0749332
Catherine	0.0749182
Janice	0.0741005
Yarmila	0.0740154
Denise	0.0721151
Rita	0.0720757
Patti	0.0711538
Olga	0.0703738
Rhonda	0.0695937
Kathleen	0.0694275
Valerie	0.0691765
Olivia	0.0690969
Vicki	0.068551
becky	0.0685003
Annie	0.0684681
Emma	0.0684361
Deborah	0.0678163
colleen	0.0673143
Polly	0.0671682
Brenda	0.066837
Rebecca	0.0654907
Maureen	0.0649211
Camille	0.0646026
Phyllis	0.0642546
Beatrice	0.0638989
Edna	0.06387
ANN	0.0638635
hazel	0.0636444
Susie	0.0636403
Esther	0.0632779
Lori	0.0625156
Millie	0.062152
Kathryn	0.0620581
Arlene	0.062028
Vera	0.0618497
Kat	0.06109
Stephanie	0.0610463
Christine	0.0609118
Leah	0.0605594
Liz	0.0600282
JoAnne	0.0599648
Elena	0.0598804
Kristin	0.059643
Shannon	0.0595865
Marcia	0.0595805
Susan	0.0594702
Renee	0.0592408
Theresa	0.0590414
Paula	0.0590066
Lydia	0.0587288
Vivian	0.0585953
"two @@-year-olds"	0.0585711
Johanna	0.0583898
Kathy	0.0583724
Ella	0.0583629
Heidi	0.0581725
Michele	0.0580322
Doris	0.057981
Emily	0.0579012
Natasha	0.057879
Lynne	0.0575608
Cathy	0.0573011
gloria	0.0572538
Evelyn	0.057234
Jill	0.0571866
Toni	0.0571783
Terri	0.057067
Natalie	0.0570389
Wanda	0.05695
Gina	0.0568787
Kate	0.0564623
Teresa	0.0563441
Paulina	0.0561143
Suzanne	0.0558899
Beverly	0.0558739
Tammy	0.0557423
Edith	0.0555798
Margaret	0.0550021
Frances	0.0548371
Marge	0.0544159
Thelma	0.0543238
Gail	0.0541985
Nancy	0.0538903
Shirley	0.0537499
Claudia	0.0536799
Marta	0.0533288
Karenna	0.0533254
Nina	0.0529671
Helen	0.0529479
Carolyn	0.0529325
Sophie	0.0528151
Hilary	0.0527247
heather	0.0526552
Amanda	0.0525052
"Dan Morales"	0.0524644
bleep	0.0523398
Julie	0.0522284
Bridget	0.0521459
Pam	0.0519162
Juanita	0.0517923
Pauline	0.0517661
Melinda	0.0517125
Cindy	0.051635
Jackie	0.0516208
Norma	0.0515828
Sara	0.0514965
Jessie	0.0512616
Sylvia	0.0511592
Rachel	0.0509657
Lara	0.0507336
Sadie	0.0506402
Gillian	0.0504316
Sandra	0.0504053
two-digit	0.050229
Marilyn	0.0501412
Gertrude	0.0500546
Eleanor	0.0500487
Monique	0.0499817
Erica	0.0499526
Melanie	0.0497168
Debbie	0.0496968
Eva	0.0495082
Barbara	0.0494904
Vanessa	0.0493611
Tracey	0.0492633
Maxine	0.0492504
"Leigh Ann"	0.049059
Ethel	0.0490337
Janet	0.0490318
Amy	0.0487321
Ozersky	0.0483764
Jessica	0.0481106
Stella	0.047941
Dolores	0.047917
Cherie	0.0477202
Megan	0.0475764
Sheila	0.0475014
Nikki	0.0474827
Madeleine	0.0474257
"married man"	0.0467934
ISABEL	0.0467844
Carla	0.0467772
Andrea	0.0466979
Italian-Americans	0.0466796
Kimberly	0.0466151
ex-girlfriend	0.0465861
Donna	0.0465164
Debra	0.0464358
Ellen	0.0461594
Sasha	0.0461145
Tina	0.0460332
Meg	0.0460031
Bushnell	0.0458887
Scotty	0.0458559
Claire	0.0455918
Lauren	0.0453669
Connie	0.0452976
Elliot	0.0452178
Katie	0.0452045
Lucille	0.0451041
Wyatt	0.0450904
Peggy	0.0450537
Louise	0.0449899
Samantha	0.0447034
Nicole	0.0445821
Colette	0.0443006
Jeanne	0.0441518
Alexandra	0.0436092
"Karenna Gore Schiff"	0.0431636
Grimes	0.0431003
Englishwoman	0.0426944
census-takers	0.042547
Billie	0.0423528
Shatner	0.0421415
Elaine	0.0419161
Beth	0.0418539
Hearn	0.0416773
Leslie	0.0416544
Jenny	0.0414626
Hadley	0.0414422
))
(bias (desc 41502.5) (sims
discrimination	0.225207
prejudice	0.1915
racism	0.168566
bigotry	0.13745
harassment	0.132896
"sexual harassment"	0.130534
misconduct	0.116857
abuse	0.116641
favoritism	0.116542
hatred	0.110198
fraud	0.10921
"double standard"	0.109068
brutality	0.108127
corruption	0.107271
irregularity	0.105347
violence	0.102935
inequality	0.102082
inequity	0.102073
anti-Semitism	0.100277
injustice	0.0999803
negligence	0.0982376
sentiment	0.0981727
intolerance	0.0974419
hypocrisy	0.096231
unfairness	0.0956411
insensitivity	0.0953865
intimidation	0.0947309
ignorance	0.0938639
persecution	0.0928684
impropriety	0.0917697
manipulation	0.0913664
wrongdoing	0.0911159
flaw	0.0907927
indifference	0.0905799
tendency	0.0905518
hostility	0.0901907
conspiracy	0.0900582
interference	0.0898179
arrogance	0.089576
malpractice	0.0890852
attitude	0.0890022
disparity	0.0884914
violation	0.087736
stereotype	0.0870766
misunderstanding	0.0864484
infringement	0.086384
behavior	0.0856162
nepotism	0.0855027
mismanagement	0.0853074
weakness	0.0852652
bribery	0.0851576
"drug use"	0.0845726
mistreatment	0.0836344
preference	0.0836014
stance	0.0833866
leaning	0.0831359
perception	0.0812959
partisanship	0.0810084
"foul play"	0.0805155
shortcoming	0.0802231
sexism	0.0802075
lack	0.0799396
distortion	0.0798966
cronyism	0.07881
oppression	0.0781126
coercion	0.0778757
suspicion	0.0778042
crime	0.07748
incompetence	0.076753
animus	0.0767309
confusion	0.0764862
segregation	0.0763839
belief	0.0762236
tampering	0.075746
"breach of contract"	0.0756012
"election fraud"	0.0752173
inconsistency	0.0750844
hate	0.0750571
deficiency	0.0749904
censorship	0.0748984
failure	0.0746687
practice	0.0740835
inefficiency	0.0735947
involvement	0.0733486
leak	0.0732269
neglect	0.0730847
aggression	0.072924
distrust	0.0728097
rigging	0.0725644
mistrust	0.0724817
policy	0.0724033
bitterness	0.0722061
tactic	0.0715346
espionage	0.0714804
misconception	0.0713331
backlash	0.0710245
orientation	0.0709604
repression	0.0701833
terrorism	0.0701115
imbalance	0.0698684
insecurity	0.0698376
misuse	0.0696262
judgment	0.0693475
skepticism	0.0693282
motive	0.0690765
unwillingness	0.0690536
greed	0.0690425
slur	0.0689978
"tax evasion"	0.0689306
instability	0.0688075
pressure	0.0688024
feeling	0.0687941
inclination	0.068779
animosity	0.0687741
cover-up	0.0686324
malice	0.068457
price-fixing	0.0684448
dishonesty	0.0683356
theft	0.0683088
stigma	0.0682331
"child abuse"	0.0680882
contempt	0.0679857
dumping	0.0678948
vote-buying	0.0677826
deception	0.0674467
fear	0.0673917
influence	0.0673832
ideology	0.0672936
contradiction	0.0671813
extremism	0.0671803
action	0.0670367
shift	0.066961
breach	0.0668441
defamation	0.0668038
uncertainty	0.0667177
apathy	0.0666979
problem	0.0664579
trend	0.0664323
reluctance	0.0663944
discrepancy	0.0662262
poverty	0.0660742
glitch	0.0660615
ambiguity	0.0657601
"insider trading"	0.0655349
diversity	0.065521
homophobia	0.0654846
propaganda	0.0654804
atrocity	0.0653363
difference	0.0652791
tilt	0.0650266
stress	0.0648866
pattern	0.0648652
plagiarism	0.0648642
lapse	0.064858
mistake	0.0646736
rancor	0.0646484
act	0.0645828
threat	0.0644457
snobbery	0.0643781
intrusion	0.0643
error	0.0641418
exploitation	0.0641235
torture	0.0640884
difficulty	0.0640801
intention	0.0635384
perjury	0.0635105
cruelty	0.0633818
"sexual assault"	0.0632561
complacency	0.0631957
libel	0.063187
misdeed	0.0631566
graft	0.0631489
defect	0.063104
"securities fraud"	0.0630332
resentment	0.0629269
ambition	0.0629071
accusation	0.0628476
collusion	0.0627668
loyalty	0.0626719
inability	0.0625862
contamination	0.0625792
"drug abuse"	0.0625075
jealousy	0.0624606
retaliation	0.0623722
terror	0.0619202
desire	0.0618705
inadequacy	0.061765
vulnerability	0.0617421
provocation	0.0617399
hardship	0.0617257
"money laundering"	0.0617238
willingness	0.0616538
conflict	0.0615815
role	0.0614781
anxiety	0.0612903
genocide	0.0612758
breakdown	0.0612259
obstruction	0.0611822
liability	0.0611604
risk	0.0610139
))
(biathlon (desc 6209.89) (sims
"ski jumping"	0.253949
skiing	0.232302
"cross country"	0.230486
luge	0.21051
"ice hockey"	0.20178
"figure skating"	0.185537
time-trial	0.175219
Skating	0.165222
bobsled	0.160373
"field hockey"	0.153991
"ski jump"	0.151208
slalom	0.149621
freestyle	0.149169
Criterium	0.138445
epee	0.138353
curling	0.137582
rowing	0.137272
Super-G	0.136697
cycling	0.129012
snowboard	0.128241
triathlon	0.127646
Gymnastics	0.127249
"ski race"	0.125035
skeet	0.124942
men's	0.124856
"skiing race"	0.121968
"relay race"	0.120977
dressage	0.120594
handball	0.11849
"water polo"	0.115997
"table tennis"	0.11524
pentathlon	0.110512
"track and field"	0.109508
weightlifting	0.109204
halfpipe	0.107811
EuroLeague	0.106712
judo	0.10668
downhill	0.106177
volleyball	0.105985
"hammer throw"	0.103576
archery	0.103466
"World Championship"	0.10321
Yachting	0.100692
backstroke	0.100049
"high jump"	0.0997618
swimming	0.0977512
"Pan Ams"	0.0968977
breaststroke	0.0962836
medley	0.0916984
decathlon	0.0901089
softball	0.0898633
relay	0.0881626
"Federation Cup"	0.0866628
scull	0.0858076
badminton	0.0855605
lacrosse	0.0842087
aerial	0.0840892
"Uber Cup"	0.083861
Rugby	0.0836343
"European Cup"	0.0826472
under-@@	0.0819482
taekwondo	0.0813012
Heptathlon	0.081282
"horizontal bar"	0.0812525
"Louis Vuitton Cup"	0.0802952
"shot put"	0.0796139
"ice skating"	0.0788054
snooker	0.0775965
"Sudirman Cup"	0.0771807
"Busch Grand National"	0.0769734
"Hamlet Cup"	0.0766114
marathon	0.0764921
steeplechase	0.0757986
"Grand National"	0.0753264
"Japan Open"	0.0749752
bodybuilding	0.0744721
three-meter	0.0739829
"Canadian Open"	0.0738075
"won nine"	0.0737933
"Hopman Cup"	0.0731378
"mountain bike"	0.0729702
"first cup"	0.0727232
"National League West"	0.0726869
"won three"	0.0722962
"Hong Kong Open"	0.071536
skateboarding	0.0714024
"Maurier Open"	0.0713965
tennis	0.0713949
ATP	0.0711765
"Fed Cup"	0.0710108
athletics	0.0707548
"Asian Cup"	0.0703448
"long jump"	0.0699548
"Oak Tree"	0.069925
"Golden League"	0.0691654
ski	0.0684657
"Busch Series"	0.0683866
javelin	0.0683807
"stroke play"	0.0674828
"Gold Cup"	0.0671393
"German Open"	0.0667688
"Grand Prix"	0.0665944
"Big Sky Conference"	0.066554
"pole vault"	0.066204
fencing	0.0657789
"National Invitation Tournament"	0.0657695
"Thomas Cup"	0.0657007
"West Regional"	0.0651898
"mountain climbing"	0.0649862
relays	0.0648644
"three-day event"	0.0646448
"basketball league"	0.0646316
Wushu	0.0645886
kayak	0.0642601
"Top Fuel"	0.0642539
"round robin"	0.0634904
"Pan Pacific"	0.0632062
"Italian Open"	0.0625383
bicycling	0.0624581
"won two"	0.0621344
"won one"	0.0619847
pre-Olympic	0.0619376
diving	0.0615979
"swimming event"	0.0611631
"U.S. Senior Open"	0.0604132
mountaineering	0.0603355
"Asian Games"	0.0603306
"Nations Cup"	0.0601886
"World League"	0.0599926
"Paris Open"	0.0597141
"Champions Cup"	0.059555
"London Marathon"	0.059306
"Skate America"	0.0592049
"Commonwealth Games"	0.0590905
"won four"	0.0590675
Iditarod	0.0588786
hardcourt	0.0588219
NHRA	0.0588068
"Winston Cup"	0.0587822
"ATP Tour"	0.0586887
"won seven"	0.0586362
springboard	0.0585381
"Boston Marathon"	0.0583658
"won six"	0.0583651
"Little League World Series"	0.0583183
"Funny Car"	0.0582879
"Central Division"	0.0582425
"NASCAR Winston Cup"	0.0580859
hockey	0.0580258
"parallel bars"	0.0579161
"Pan American Games"	0.0577074
"Swiss Open"	0.057635
"AFC West"	0.0572647
"pommel horse"	0.0572469
"Kremlin Cup"	0.0571474
"Southwest Conference"	0.0571352
"Pan Am Games"	0.0571003
"won five"	0.0570457
"match play"	0.0569292
GP	0.0569267
"American League West"	0.0568288
Ironman	0.0566959
"AFC East"	0.0566
"Italian Cup"	0.0565805
"Le Mans"	0.0561743
"European Champions Cup"	0.0560225
wrestling	0.0559006
"Eastern Division"	0.0558679
"American League East"	0.0558589
"European Championship"	0.0556919
top-class	0.0556682
"WTA Tour"	0.0546278
saber	0.054594
"NFC East"	0.0545881
"Stockholm Open"	0.0543995
"Grand Slam Cup"	0.0542108
"Copa America"	0.0540975
"MLS Cup"	0.0539107
"College World Series"	0.0538983
"SEC East"	0.0538596
"Goodwill Games"	0.0534819
"NFC West"	0.0532982
"bicycle race"	0.05321
equestrian	0.0531326
"NL West"	0.0528329
"Loch Lomond"	0.0526968
Busch	0.0525506
"Sydney Olympic"	0.0524977
"Davis Cup"	0.0524804
preliminary	0.0524054
"won eight"	0.0523489
butterfly	0.0523437
IRL	0.0523393
netball	0.0520567
"Asian Winter Games"	0.0518824
"Acura Classic"	0.0517137
"track event"	0.0514362
superspeedway	0.0512655
prologue	0.0512567
"East Regional"	0.051226
))
(bib (desc 2558.44) (sims
nightgown	0.0898575
smock	0.0882041
"dress shirt"	0.0875519
panty	0.0828646
"life vest"	0.0821286
wristband	0.0805912
pullover	0.0803012
bandanna	0.0777989
Poncho	0.0748454
cardigan	0.0702711
Pacifier	0.0701967
blouse	0.0697965
"wedding dress"	0.0692088
brassiere	0.0687503
"feather boa"	0.0686914
"neck brace"	0.0681009
headgear	0.0668662
legging	0.0667515
earplugs	0.0666511
capris	0.0665412
handkerchief	0.0664732
"hard hat"	0.0664164
"baseball cap"	0.0657322
headband	0.0654417
turban	0.0642193
"evening gown"	0.0641875
undershirt	0.0638815
halter	0.063785
"rubber boot"	0.0636241
tablecloth	0.0633982
Bonnet	0.0633233
skullcap	0.0633092
"Star of David"	0.0632022
windbreaker	0.0630174
barrette	0.0626159
pillowcase	0.0620086
blinker	0.061481
toupee	0.0611376
"mink coat"	0.0608235
kimono	0.0607495
jumpsuit	0.0607187
"blue jean"	0.0605552
coverall	0.0604409
pajama	0.0602732
bathrobe	0.0601256
Sari	0.0598647
"dress uniform"	0.0596395
"cowboy hat"	0.0594921
Thong	0.0593234
"prayer shawl"	0.0586826
scarf	0.0583825
diaper	0.0583686
armband	0.0582584
overcoat	0.058244
apron	0.0581753
raincoat	0.0580332
slicker	0.057614
caftan	0.0572966
"name tag"	0.0572707
petticoat	0.0571522
stroller	0.0566849
turtleneck	0.0562746
tux	0.0561814
"shower curtain"	0.0561636
"wedding gown"	0.0561228
waistcoat	0.056068
"grocery bag"	0.0557926
bluejeans	0.0554184
sweatshirt	0.0547864
underpants	0.0547263
mitten	0.0542824
"beach towel"	0.0541381
"boxing glove"	0.0538503
scrubs	0.0534492
slipcover	0.0534482
"baseball glove"	0.0531794
stethoscope	0.0530499
underwear	0.0526902
clothes	0.0526853
brooch	0.0526357
beeper	0.0526004
"evening bag"	0.0525593
gloves	0.0525415
"sweat pants"	0.0524721
BOA	0.0524482
fedora	0.052315
"combat boot"	0.0523131
khaki	0.0523129
choker	0.0521086
knickers	0.0520331
"umbilical cord"	0.0518873
"water bottle"	0.051801
"life jacket"	0.0517805
beret	0.0516607
bodysuit	0.051362
blinder	0.0511741
holster	0.0511626
vestment	0.0509067
"bathing suit"	0.05087
bandana	0.0508118
"leather jacket"	0.0502296
"rainbow trout"	0.0501505
"teddy bear"	0.0500146
"coffee mug"	0.0498189
"fur coat"	0.0497293
"car seat"	0.0495713
"belt buckle"	0.0495408
shoelace	0.0495232
loincloth	0.0494303
bustier	0.049299
miniskirts	0.0491809
"airplane ticket"	0.0490857
curler	0.0488565
swimsuit	0.0485051
sunglasses	0.0484124
Camaro	0.0482484
pantyhose	0.0479123
sheath	0.047662
crucifix	0.0473277
maegashira	0.0472994
"bed linen"	0.0470732
"straw hat"	0.0470569
bracelet	0.0469106
"bulletproof vest"	0.0467197
swab	0.0463965
satin	0.0463875
bikini	0.0463784
"grand piano"	0.0462796
trousers	0.0461995
"blue ribbon"	0.0461987
"roller skate"	0.0461458
necktie	0.0460971
spacesuit	0.0460962
medallion	0.0458747
"sports jacket"	0.0457807
"bow tie"	0.0457201
"evening dress"	0.0453707
yarmulke	0.0451892
eyeglass	0.0451107
"cocktail dress"	0.0450785
"top hat"	0.0450558
trinket	0.0449425
slipper	0.0449304
"greeting card"	0.0449082
sneaker	0.0448546
"key ring"	0.044837
"bowler hat"	0.0447773
Igloo	0.0447474
"coloring book"	0.0447201
Furbys	0.0444994
STETSON	0.0443046
"rubber band"	0.0442671
prefix	0.0442473
"sheet of paper"	0.0442409
lingerie	0.0441659
"soccer ball"	0.044152
prosthesis	0.0441176
knickknack	0.0440426
finery	0.0437683
frock	0.0437481
"warning signal"	0.0437087
"hot pants"	0.0437008
"cowboy boot"	0.043566
girdle	0.0433131
"Lincoln Town Car"	0.0432162
"tennis shoe"	0.0432099
"running shoe"	0.0431576
"grim reaper"	0.0429877
sandal	0.042965
anorak	0.042923
wrangler	0.0428918
earpiece	0.0426037
laminate	0.0424027
toothbrush	0.0423427
"bok choy"	0.0422318
sheepskin	0.0422272
"shoulder pad"	0.0421759
pasty	0.0420209
trouser	0.0419347
debit	0.0419282
pouch	0.0419129
"Toyota Corolla"	0.0418188
rosary	0.0418118
paraphernalia	0.0416818
pantsuit	0.0413059
"face mask"	0.0411021
parka	0.0410977
"piece of cloth"	0.0410793
"polo shirt"	0.0410644
camisole	0.0409617
"word of advice"	0.0409482
"boarding pass"	0.0409235
Barbies	0.0407977
lollipop	0.0407646
wristwatch	0.0407252
shawl	0.0407065
tuxedo	0.0406046
bellbottoms	0.0405916
"place setting"	0.0405464
suspender	0.0405105
))
(Bibby (desc 3956.75) (sims
"Mike Bibby"	0.134591
"La Russa"	0.112878
Olowokandi	0.110468
Szczerbiak	0.10546
Avery	0.104497
Nowitzki	0.104175
Troussier	0.102942
Ceballos	0.102155
Skiles	0.10178
Odom	0.100136
Woodson	0.0994489
Kidd	0.0991579
Wadsworth	0.0948424
Strahan	0.0948047
Schmid	0.0940754
McGrady	0.094037
MARBURY	0.0932816
Tomjanovich	0.0931966
Underwood	0.0917604
Wilkens	0.091638
Holdsclaw	0.0916174
Abdur-Rahim	0.0915525
Mobley	0.0913056
Crenshaw	0.0912941
Fassel	0.0911478
Tomey	0.0903852
Mariucci	0.089204
Bettman	0.0884764
Vermeil	0.0879602
Campo	0.0878763
Dunleavy	0.0876947
Wheatley	0.0871857
Ainge	0.086871
Braswell	0.0862081
DiCicco	0.0857701
CORYATT	0.0850316
Hackett	0.0849012
Calhoun	0.084287
Glover	0.0840812
Mihm	0.0840279
Moiso	0.0839013
Bowden	0.0837722
Ditka	0.0836714
Jacquet	0.083274
Shanahan	0.0832008
"Paul Pierce"	0.0831413
Hoddle	0.082969
Francis	0.0826256
Garnett	0.0820557
Heinrichs	0.0819437
"Antawn Jamison"	0.0818185
Iverson	0.0808717
Brister	0.0806232
Cleaves	0.0805909
Strickland	0.0802253
Claiborne	0.0796957
Antley	0.0795975
"Van Gundy"	0.0791247
Passarella	0.0778045
Soward	0.0776262
Norstrom	0.0772149
Waddell	0.077182
Krzyzewski	0.0769679
Guthridge	0.0769346
Stevenson	0.0768251
Laettner	0.0766619
Lavin	0.0765647
Zambrano	0.0765087
Rossotti	0.0760105
"Akili Smith"	0.0758455
Holmgren	0.0757914
Matthaeus	0.0754744
Olson	0.0753032
Colangelo	0.0750529
Kerr	0.0749832
Yarnall	0.0749593
Gailey	0.0749279
Karl	0.0747615
Pitino	0.0746602
Palmer	0.0746135
Spurrier	0.0744656
Vick	0.0744644
Showalter	0.0742637
Scioscia	0.0740444
Spellman	0.0740359
"Michael Olowokandi"	0.0738235
Polynice	0.0738211
Erickson	0.0736318
Lowery	0.0736177
Hendrickson	0.0734294
Milloy	0.0730863
Jeffers	0.073021
Goldin	0.072905
Westphal	0.0728194
Faulk	0.0727132
Krone	0.072664
Bratton	0.0725754
Gullit	0.0721118
"Jason Williams"	0.0720752
Rutledge	0.0720355
Piniella	0.0719284
Popovich	0.0715856
"Kobe Bryant"	0.0714196
Flutie	0.0713701
Burns	0.0713496
McKnight	0.0711027
Gogel	0.0708841
Carr	0.0708137
"Van Horn"	0.0706202
Babcock	0.070253
Gilkey	0.0701822
Langdon	0.0701728
Marineau	0.0701622
Reimer	0.0700794
Riley	0.069942
"Lamar Odom"	0.0698547
Kearin	0.0697757
Faldo	0.0697714
Payton	0.0697609
Tubbs	0.0697515
Jauron	0.0696988
"Donovan McNabb"	0.0695912
McWilliams	0.0694932
"Breda Kolff"	0.069359
Lobo	0.0692143
"Mark Jackson"	0.0691067
Calipari	0.0690619
Conroy	0.0690596
Malone	0.0690591
Dierker	0.069006
Milutinovic	0.0689607
"Ricky Williams"	0.0688144
Baerga	0.0686869
Duchesne	0.0684757
"Khalid El-Amin"	0.0684515
Ftorek	0.0683976
Zimmer	0.0683901
WARRICK	0.0682995
Wolfson	0.0682923
"Cuttino Mobley"	0.0682818
Geiger	0.0682256
Aliotti	0.0680404
"Elton Brand"	0.0680037
Solis	0.0680027
Siazon	0.0679863
Barrie	0.0679026
"Baron Davis"	0.0678955
"Othella Harrington"	0.0678807
"Shareef Abdur-Rahim"	0.0677708
Taylor	0.0675877
Najera	0.0675205
Duquette	0.0674857
Okada	0.0674346
Sasser	0.0674185
Maggert	0.067364
Kanell	0.067335
McKeon	0.0672173
Plummer	0.0671638
Carroll	0.0670375
Cowan	0.0669568
Brazill	0.0668852
Atwater	0.0668039
Neilson	0.0666944
Coffey	0.0666063
Ohlmeyer	0.0665341
Rambis	0.0664055
Billick	0.0664032
Milbury	0.0663979
Longley	0.0662681
Larkin	0.0661572
Calloway	0.0660689
Barros	0.0660545
Inman	0.066044
Webb	0.0659721
beamer	0.0659568
Rosenblatt	0.0658447
Padilla	0.0657685
Wohlers	0.0657504
Smits	0.0657149
Zeile	0.065658
Izzo	0.0656224
Scalabrine	0.06557
McGinnis	0.0655587
Eubanks	0.0654381
Torre	0.0654007
Godfrey	0.0652606
Franchione	0.0652217
Moyer	0.0652103
McNabb	0.0650583
Oakley	0.0649873
Williamson	0.064985
Yzerman	0.0649385
STALEY	0.0649055
Tallas	0.0647529
Monson	0.0647289
Harrington	0.0647234
Marinovich	0.0646189
"two pitchers"	0.064609
hodgson	0.064603
Majerle	0.064541
))
(Bibi (desc 1614.59) (sims
Benny	0.0705783
Mudge	0.0674571
FIDEL	0.065312
"Jearl Miles-Clark"	0.0624942
Vasile	0.0563804
PictureTel	0.0557694
Aliotti	0.0550813
DiCarlo	0.0544449
Shays-Meehan	0.0530104
Popovich	0.0525483
Ammiano	0.0513843
Treen	0.0507113
Bishara	0.0507056
beamer	0.0505508
Villalonga	0.0497094
"Parti Quebecois"	0.0495923
"Lauren Bessette"	0.0489699
Moseley-Braun	0.0487278
Gaither	0.048545
MacCulloch	0.0475701
Radojevic	0.0474699
Rais	0.047327
Manny	0.0472348
Bedie	0.0470846
"Rainer Schuttler"	0.0468396
Mario	0.046739
"big cat"	0.0466392
Nivel	0.046616
looper	0.0465149
Bhattarai	0.0463938
Musgrove	0.046237
unionization	0.0461903
Aliev	0.0459517
Perec	0.0457018
Soderbergh	0.0452788
Balaguer	0.0450148
Naipaul	0.0450043
"Karim Alami"	0.0448364
Sayles	0.0446929
Daigle	0.0445726
Likhovtseva	0.0443554
"Jerry Sloan"	0.0441674
Chand	0.0441205
"El Hage"	0.0440276
Kearin	0.0438663
Majko	0.0438177
Herges	0.0437624
Shackleton	0.0436964
Santoro	0.0435689
"Martin Lee"	0.0435036
Sutiyoso	0.043332
Denise	0.0433295
"Felipe Alou"	0.0429527
Serpa	0.0429372
White-McCarty	0.042594
Ftorek	0.0425793
Kagwe	0.042575
Florio	0.0423554
Soong	0.0423102
"Andrei Pavel"	0.0422974
Bucaram	0.0422783
Kumaratunga	0.0422262
Moscoso	0.0419096
Mladic	0.0418699
Starzz	0.0417572
Dodik	0.0417482
Ershad	0.041611
Bouchard	0.0415908
"Slavia Prague"	0.0415331
Almodovar	0.0414408
SDS	0.0411526
whomever	0.0408034
"John D. Rockefeller"	0.0407685
Stoltenberg	0.0406737
"Magui Serna"	0.0406652
Machado	0.0406494
"Albert Portas"	0.0406356
A-Rod	0.0405018
"Asa Carlsson"	0.0404118
TALBOT	0.0404062
ANGELOS	0.040337
"Renzo Furlan"	0.0402641
"Christian Ruud"	0.0401456
Barnaby	0.0400908
"Joerg Haider"	0.0400458
))
(Bible (desc 45139.9) (sims
Koran	0.171648
Scripture	0.160359
"New Testament"	0.139134
"Old Testament"	0.126206
book	0.11423
Torah	0.108764
literature	0.107932
textbook	0.0984717
manual	0.0972141
text	0.096371
Talmud	0.0950234
poem	0.0946992
diary	0.0926161
dictionary	0.0890082
Encyclopedia	0.0883404
pamphlet	0.0825469
manuscript	0.0818301
poetry	0.0815884
gospel	0.0811756
novel	0.0801778
journal	0.0791928
"prayer book"	0.0775018
cookbook	0.0761644
memoir	0.0752555
document	0.074776
history	0.0746248
Islam	0.0732663
copy	0.0727535
guide	0.0720477
writing	0.0717245
catalog	0.0709104
God	0.0708688
script	0.0703819
constitution	0.0688908
magazine	0.0688349
biography	0.0685599
article	0.0685159
edition	0.0685105
letter	0.0681966
page	0.0670333
notebook	0.0667988
autobiography	0.0664959
paper	0.0664647
religion	0.0658437
brochure	0.0657328
art	0.0646526
philosophy	0.0645986
science	0.0645874
guidebook	0.0641412
language	0.0639692
music	0.0638931
story	0.063562
Hebrew	0.0632011
Song	0.0624972
transcript	0.0621117
recipe	0.0618524
publication	0.0617226
periodical	0.0613879
classic	0.0607369
code	0.0604299
poster	0.0603021
suitcase	0.0601439
translation	0.0601123
booklet	0.0599673
Buddhism	0.0599186
Shakespeare	0.0597445
map	0.0595852
fiction	0.0595328
newsletter	0.059078
theory	0.0583238
photograph	0.0582672
mythology	0.0581375
yearbook	0.0578706
calendar	0.0577578
theology	0.057485
paperback	0.0574113
"newspaper article"	0.0574101
teaching	0.0573473
doctrine	0.0571735
"reference book"	0.0567315
law	0.0567027
handbook	0.0565621
material	0.0559397
word	0.0555898
"short story"	0.0552065
tale	0.0551776
essay	0.055113
faith	0.0549563
collection	0.0549509
nature	0.0546863
Journalism	0.054558
card	0.0543401
tradition	0.0542965
"U.S. Constitution"	0.0542622
English	0.0542467
"best seller"	0.0540425
T-shirt	0.0538769
memo	0.0538539
culture	0.0538459
painting	0.0538006
"English language"	0.05377
tome	0.0536467
prayer	0.0532272
ethic	0.0531354
speech	0.0531283
lyric	0.0531005
picture	0.0528363
verse	0.05262
newspaper	0.052572
Jesus	0.052533
drawing	0.0523483
AD	0.0520387
myth	0.0519463
statement	0.0518099
briefcase	0.0517661
chapter	0.051446
video	0.0514275
tape	0.0512464
movie	0.0512121
column	0.0510525
inscription	0.050986
leaflet	0.0508835
Christianity	0.0508834
"comic book"	0.0507108
"stump speech"	0.0505438
CD-ROM	0.0502656
menu	0.0502319
architecture	0.0499965
folklore	0.0497441
almanac	0.0496933
directory	0.049633
"picture book"	0.0495336
instruction	0.0494119
toy	0.0494006
Ulysses	0.0488918
print	0.0488509
tool	0.0488369
advertisement	0.0488325
"phone book"	0.0487136
version	0.0486145
CD	0.048518
author	0.0484534
postcard	0.048222
holocaust	0.048167
Anthology	0.0481433
message	0.0479895
Arabic	0.0479761
sermon	0.0478869
icon	0.0478526
piece	0.0477367
Christ	0.0475822
fact	0.0473572
economics	0.0473361
church	0.0473059
summary	0.0472448
prospectus	0.0471883
manifesto	0.0471622
heritage	0.047015
gun	0.0469518
mathematics	0.0468066
software	0.0467924
banner	0.0467849
statute	0.0467465
editorial	0.0467175
"trade publication"	0.0464614
physics	0.0464323
account	0.0464277
item	0.0463833
meaning	0.046376
"teddy bear"	0.0463082
geography	0.0461179
concept	0.0459839
"Declaration of Independence"	0.0458797
opera	0.0458406
archive	0.0456245
"Jesus Christ"	0.0455418
bag	0.0454528
lore	0.0451449
Judaism	0.0451447
"magazine article"	0.0451397
image	0.0450343
phrase	0.0450312
testimony	0.0449411
cloth	0.0449372
truth	0.0449308
genesis	0.0447719
politics	0.0447457
backpack	0.0446627
candle	0.0445792
quotation	0.0445723
dream	0.0445488
reality	0.0445147
doll	0.0445115
placard	0.0443972
drama	0.0443332
Atlas	0.0442968
flag	0.0441907
"Ten Commandments"	0.0440853
scroll	0.0440577
analysis	0.0440382
))
("Bible Belt" (desc 1834.02) (sims
"Mojave Desert"	0.0802811
"Lower Saxony"	0.0750972
"Hill Country"	0.0745655
"picture postcard"	0.0729642
"Pacific Coast"	0.0713512
heartland	0.068114
"North African"	0.0665667
Tigray	0.0653124
oceanside	0.0645546
"Israeli Arab"	0.064144
Jalisco	0.0638782
Trincomalee	0.0625753
"other eight"	0.0625305
"four key"	0.0606472
Haryana	0.0600939
"San Joaquin Valley"	0.0574136
Mbarara	0.0574075
Kerala	0.0571839
"West Bengal"	0.0571037
"West Texas"	0.0558157
"Minas Gerais"	0.0552515
"open primary"	0.0550302
"South Texas"	0.054331
"Himachal Pradesh"	0.0540416
"Northern Irish"	0.0534524
Appalachian	0.0534299
Michoacan	0.0533685
Saxony	0.0533112
"Mississippi Delta"	0.0524644
"Nile Delta"	0.0523153
"Congo River"	0.0518091
down-and-out	0.0515472
Durango	0.0515129
Galle	0.0514519
Kedah	0.0513954
"Mississippi River"	0.0513075
"Damascus Declaration"	0.0510742
Gulu	0.0509685
Amazonian	0.0509231
Batticaloa	0.0507685
"Central Asian"	0.0502513
"Suez Canal"	0.0501409
Talipao	0.0500977
"Gulf Coast"	0.0499378
"Ohio River"	0.0497957
Bahia	0.0497676
"Rocky Mountain"	0.049334
"Florida Panhandle"	0.0490974
"Mormon Church"	0.0488829
"American Dream"	0.0488124
"Central Valley"	0.0486815
Punjab	0.0486341
southerain	0.0484019
"New South Wales"	0.0483156
Estonian	0.0481919
Ozarks	0.0481508
Hesse	0.0480279
"Green Line"	0.0478755
Antioquia	0.0478015
Ivorian	0.0477893
"Lake Tanganyika"	0.0473727
Sinaloa	0.0473072
"Eastern European"	0.0472995
Maasai	0.0472599
"Nile River"	0.0468796
Ijaw	0.0467999
Puebla	0.0455801
northerain	0.0452829
lakeside	0.0450231
Kelantan	0.0448656
Orissa	0.0444901
"East Texas"	0.0444388
"Connecticut River"	0.0444259
Morelos	0.0444061
"social contract"	0.0442186
Gujarat	0.044122
Zacatecas	0.0439658
"South Georgia"	0.0439516
Assam	0.0437913
Rajasthan	0.0434023
Paranthan	0.0433867
Merca	0.0432888
"New South"	0.0432577
Mankulam	0.0432471
pro-British	0.0432296
Maharashtra	0.0431987
panhandle	0.0429021
"Western European"	0.0428418
Okinawan	0.0428015
Parmigiano-Reggiano	0.0427415
"Interstate @"	0.0426987
Boise	0.0426573
Bihar	0.0425963
Nakuru	0.0425498
"Quintana Roo"	0.042525
"Earth's crust"	0.0422911
Javanese	0.0421997
"automobile industry"	0.0421267
Tamaulipas	0.0420659
"Left Bank"	0.042059
"Central Texas"	0.0419931
Berkshires	0.0418841
ranching	0.0418431
"white bread"	0.0417399
"show business"	0.0417392
Americana	0.0417004
Putumayo	0.0415595
Guanajuato	0.04139
Kitgum	0.0413457
"Deep South"	0.0411856
Khulna	0.0408918
beachfront	0.0406849
"Baja California"	0.0404908
artsy	0.0404027
Srinagar	0.0401651
Kilinochchi	0.0401347
Ipswich	0.0400279
))
(Bibliography (desc 3317.89) (sims
discography	0.10089
annotation	0.084202
monograph	0.0832573
"table of contents"	0.0814672
glossary	0.0771637
biography	0.0747882
chronology	0.0747479
Anthology	0.0723304
appendix	0.0705188
summary	0.0704426
storyboards	0.0690006
directory	0.0608267
Compendium	0.060088
travelogue	0.0591557
"raw data"	0.0582638
Encyclopedia	0.0575089
overview	0.0563957
compilation	0.0560053
"reference book"	0.0558919
foreword	0.0549855
"literary work"	0.054978
"new edition"	0.0513801
treatise	0.0508855
bookmark	0.0504312
manuscript	0.0498194
transcript	0.049767
epilogue	0.0495657
"short story"	0.0494819
overviews	0.049246
afterword	0.0490204
documentation	0.048585
newsgroups	0.047913
quotation	0.0470051
"monitoring program"	0.0466341
"instruction manual"	0.0464652
"line of products"	0.0463148
"application form"	0.0460648
"reference work"	0.0454311
dictionary	0.0451418
booklet	0.0448881
synopsis	0.04404
analyses	0.0439143
"written material"	0.0428267
dossier	0.0426724
handbook	0.0424837
Sidebar	0.0422832
correspondence	0.0418857
classifieds	0.0415169
fieldwork	0.0403569
reexamination	0.0403212
"price list"	0.0401283
"written record"	0.0400769
))
(bicentennial (desc 1899.14) (sims
Centenary	0.180725
centennial	0.166955
"World Environment Day"	0.133888
jubilee	0.123562
"Earth Day"	0.122454
"International Year"	0.119209
"International Day"	0.111635
"Black History Month"	0.103504
"Veterans Day"	0.103066
"Chinese New Year"	0.102881
"Lunar New Year"	0.100292
"Chinese Lunar New Year"	0.0910124
"May Day"	0.0866706
rededication	0.0836437
"feast day"	0.0818483
"Rosh Hashana"	0.0803415
"World AIDS Day"	0.0774202
millenium	0.0751844
"Holy Year"	0.0700513
"third millennium"	0.0685883
Juneteenth	0.0685019
"Seoul Olympics"	0.0677716
Hanukkah	0.0667167
"Independence Day"	0.0659007
"National Day"	0.0658493
annexation	0.0650768
"wedding anniversary"	0.0626263
"Bastille Day"	0.0624844
"London Marathon"	0.0615502
"Father's Day"	0.06113
armistice	0.0574441
Eid	0.0570713
"national holiday"	0.0558248
"New Year's Day"	0.0556978
"Fourth World Conference"	0.0556605
"religious holiday"	0.0556034
"natural process"	0.0548591
"NL Rookie"	0.0543425
"Winning Colors"	0.0542288
Passover	0.0538914
"Spring Festival"	0.053157
renaming	0.0531523
"Hank Greenberg"	0.0531121
"Cannes International Film Festival"	0.05291
"World Junior Championships"	0.0527541
quarter-century	0.0524261
"Norm Dicks"	0.052398
"Fourth of July"	0.0518394
solstice	0.0518225
coronation	0.0509197
"Christmas Eve"	0.0507904
Easter	0.0507354
re-opening	0.0507301
"Paul Patton"	0.0501582
damming	0.0500663
"Turkish Republic of Northern Cyprus"	0.0498888
"first @@@ days"	0.0496478
"Asian Cup"	0.0496306
"W.W Norton"	0.0494822
"Oslo Accords"	0.0492705
inductees	0.0492367
"Valentine's Day"	0.0490037
"drug czar"	0.0485767
"Mother's Day"	0.0484607
"Hurricane Andrew"	0.0483263
"George Nethercutt"	0.0482888
"United Nations Convention"	0.0481643
"Jim Bunning"	0.0478921
"Bob Fosse"	0.0476755
commemoration	0.0475651
reopening	0.0475412
"Six Day War"	0.0475095
"Summer Olympic Games"	0.0471389
"test-tube baby"	0.0470721
"Oxford University Press"	0.046923
"Islamic Revolution"	0.0466528
"Iran-Iraq War"	0.046592
biennial	0.0459473
"sweet tooth"	0.0455524
"Jim McDermott"	0.0448155
"Lincoln Center Festival"	0.0447811
"warm front"	0.0447271
"Spanish-American War"	0.0446024
martyrdom	0.0444158
"Nanjing Massacre"	0.0441596
"New York City Marathon"	0.0430615
Paralympics	0.0430348
"Summer Olympics"	0.0429458
"holy day"	0.0429447
"initial offering"	0.0426743
"wedding day"	0.0423334
"Cannes Film Festival"	0.04214
"industrial revolution"	0.0418804
"Yankee Clipper"	0.0418474
sisterhood	0.0416516
"Declaration of Independence"	0.0415274
"bankruptcy law"	0.0414534
"World Women"	0.0414518
toppling	0.041129
"Hurricane Hugo"	0.0410626
D-day	0.0409899
"Boston Marathon"	0.0408706
"Brickyard @@@"	0.0407959
"Opium War"	0.0407281
distinctiveness	0.0407272
"Atlanta Olympic Games"	0.0406851
"John Paul II"	0.0404809
multiculturalism	0.0404455
"football season"	0.0403711
Three-peat	0.0403693
Sputnik	0.0403092
"nervous breakdown"	0.040238
commissioning	0.0402303
Maurier	0.0401482
hosting	0.0401259
))
(biceps (desc 8081.71) (sims
triceps	0.246918
quadriceps	0.184727
forearm	0.178221
"achilles tendon"	0.15726
thigh	0.149377
Achilles	0.149159
"rib cage"	0.144116
flexor	0.134527
ACL	0.121511
hamstring	0.113185
groin	0.113092
buttock	0.111856
tendon	0.110242
wrist	0.107013
shoulder	0.104566
muscle	0.104233
elbow	0.102363
cuff	0.101169
abdomen	0.0995698
calf	0.0930451
meniscus	0.0911109
hip	0.0907702
knee	0.0897614
neck	0.0895598
ankle	0.0872156
chest	0.0845556
ligament	0.0839345
labrum	0.0782778
fascia	0.0782376
waist	0.0753942
collarbone	0.0725167
mustache	0.0724286
kneecap	0.0708257
torso	0.0688229
rib	0.0687025
jaw	0.0686433
sternum	0.0671372
femur	0.0666005
goalpost	0.066361
waistline	0.0662278
shin	0.0647023
forehead	0.0640463
"middle finger"	0.0637973
Quad	0.063585
armpit	0.0633664
pelvis	0.0632177
cartilage	0.0630723
stomach	0.0628469
thumb	0.0611567
belly	0.0610812
cheekbone	0.0585199
"index finger"	0.0582132
Beard	0.0578602
back.	0.0575644
cheek	0.0568503
goatee	0.0558249
pinkie	0.0554035
"crew cut"	0.055286
ABS	0.0543752
eyelid	0.0542013
scalp	0.0536036
"shoulder blade"	0.0533358
"left hand"	0.052852
toe	0.0526668
breast	0.0524304
bladder	0.0523448
spleen	0.0493896
"ring finger"	0.0484398
"vocal cord"	0.0476858
lung	0.0472807
sideburn	0.0464021
"war chest"	0.0463001
tibia	0.0453879
physique	0.0448916
eyeball	0.0448825
eyebrow	0.0446959
Chin	0.044658
"shoulder pad"	0.0441341
"right hand"	0.0440324
genital	0.0438815
braid	0.0434641
ponytail	0.0433147
Rolodex	0.0433021
forefinger	0.0431072
knuckle	0.0430381
cleavage	0.0429387
butt	0.0428245
sleeve	0.0423013
"eye socket"	0.0422712
clipboard	0.0421528
haircut	0.0409814
"hind leg"	0.0409722
lip	0.040841
hairline	0.0406608
aorta	0.0404621
Gash	0.0402883
retina	0.0400794
))
(Bichette (desc 3178.3) (sims
"Dante Bichette"	0.247804
Cirillo	0.21294
Fullmer	0.209015
Helton	0.205661
Bordick	0.20284
"Matt Lawton"	0.192535
Alfonzo	0.185569
Vidro	0.180464
"Eddie Taubensee"	0.175257
Higginson	0.169344
"Dmitri Young"	0.168928
"Paul Konerko"	0.168318
"Carlos Lee"	0.166649
Rolen	0.163862
"Aaron Boone"	0.163582
Lankford	0.163446
"Bobby Abreu"	0.162432
"Neifi Perez"	0.161636
"Mark Kotsay"	0.161224
Erstad	0.160406
"Damian Jackson"	0.160301
"Jeff Cirillo"	0.158453
"Luis Gonzalez"	0.158134
"John Vander Wal"	0.156772
"Tim Salmon"	0.156593
"Jeffrey Hammonds"	0.155452
"Deivi Cruz"	0.153084
McGriff	0.15182
Bagwell	0.151274
"Mark Loretta"	0.150761
"Vladimir Guerrero"	0.150278
"Ben Grieve"	0.149716
"Richard Hidalgo"	0.148899
"David Bell"	0.147531
Sexson	0.147239
Larkin	0.146618
Glaus	0.146514
"Ron Gant"	0.145008
"Jon Nunnally"	0.144958
"Brian Giles"	0.144881
"Jay Bell"	0.14383
Surhoff	0.143771
"Bill Mueller"	0.14303
"Bruce Aven"	0.142666
Lieberthal	0.142441
"Bobby Higginson"	0.142315
"Troy O'Leary"	0.142205
"Sean Casey"	0.142024
"Kelly Stinnett"	0.140868
"Geoff Jenkins"	0.140823
Karros	0.140677
DeShields	0.140307
"Ray Lankford"	0.140278
Cedeno	0.139919
Renteria	0.139804
"Matt Stairs"	0.139486
"Jeromy Burnitz"	0.139388
"Danny Bautista"	0.138272
"Warren Morris"	0.137883
"Jeff Conine"	0.137702
Tatis	0.137214
Catalanotto	0.137152
Biggio	0.137017
"Eric Owens"	0.136832
"Mike Sweeney"	0.136631
"Rob Ducey"	0.136033
"Bubba Trammell"	0.135898
"Brian Hunter"	0.135799
"Preston Wilson"	0.135339
"Stan Javier"	0.135254
"Jose Valentin"	0.135119
Olerud	0.133761
"Darin Erstad"	0.133673
"Jose Guillen"	0.1332
Segui	0.133111
Ordonez	0.132789
"Jim Edmonds"	0.132544
Hatteberg	0.132506
"Rich Becker"	0.132415
"Butch Huskey"	0.132032
Gilkey	0.131877
Batista	0.131437
Hidalgo	0.131338
"Rondell White"	0.131041
Galarraga	0.130613
"Reggie Sanders"	0.130508
Aurilia	0.130376
"Benny Agbayani"	0.129565
Klesko	0.129293
"Eric Karros"	0.129283
"Derrek Lee"	0.129249
Garciaparra	0.12864
"Jermaine Dye"	0.128459
"Marquis Grissom"	0.128298
Fryman	0.12812
"Bill Spiers"	0.127842
"Al Martin"	0.12727
"Dave Martinez"	0.12711
Velarde	0.127104
Glanville	0.126607
"Trot Nixon"	0.126598
"Lance Berkman"	0.126572
Lofton	0.126448
Delgado	0.126443
"Shawn Green"	0.126207
"Tony Gwynn"	0.125974
Giambi	0.125795
"Fernando Vina"	0.125761
Leyritz	0.125728
"Alex Gonzalez"	0.12553
Nevin	0.12535
"Troy Glaus"	0.124785
"Luis Alicea"	0.124345
"Roger Cedeno"	0.124031
"John Mabry"	0.123464
"Tom Goodwin"	0.123383
"Brant Brown"	0.123149
Grudzielanek	0.123093
"Jose Vidro"	0.123073
Tejada	0.122856
Dunston	0.122771
"Gary Sheffield"	0.122204
"Kevin Young"	0.122095
Gant	0.121656
Daubach	0.121244
"Ricky Ledee"	0.12097
"Juan Encarnacion"	0.120378
"Craig Biggio"	0.120269
"Moises Alou"	0.119959
"Scott Spiezio"	0.119561
"Henry Rodriguez"	0.119143
Zeile	0.118792
"J.T Snow"	0.118723
"Shannon Stewart"	0.118719
"Orlando Palmeiro"	0.118559
"Luis Polonia"	0.118512
Lawton	0.118464
"Jeff Kent"	0.118391
"Jeremy Giambi"	0.118143
"Nomar Garciaparra"	0.118049
Womack	0.117988
"Jay Buhner"	0.117851
Elster	0.117402
Castilla	0.11739
Hollins	0.116969
"Ron Coomer"	0.116532
"Richie Sexson"	0.116506
Agbayani	0.116158
"Jeff Bagwell"	0.115873
"Gabe Kapler"	0.11567
"Desi Relaford"	0.115624
Kapler	0.115417
"Ellis Burks"	0.115259
Thome	0.115164
Abreu	0.115118
"Damian Miller"	0.115017
"Mark Grudzielanek"	0.114965
"Darren Lewis"	0.114927
"Barry Bonds"	0.114095
"B.J Surhoff"	0.113858
"Gerald Williams"	0.113458
"Paul Bako"	0.113364
"David Dellucci"	0.113226
Alou	0.113119
"John Olerud"	0.113076
"Edgardo Alfonzo"	0.113058
"Quinton McCracken"	0.112741
"Ryan Klesko"	0.112319
"Alex Rodriguez"	0.112132
"Joe Randa"	0.112121
Ramirez	0.112098
Vizquel	0.112095
Valentin	0.111856
Griffey	0.111736
"Mike Lansing"	0.111727
"Brian Daubach"	0.11171
"Phil Nevin"	0.111571
Palmeiro	0.111568
"Barry Larkin"	0.111434
Beltran	0.110677
Caminiti	0.1106
Ledee	0.110371
Canseco	0.110345
"Mickey Morandini"	0.109812
"Larry Walker"	0.109786
Cabrera	0.109719
"Joe McEwing"	0.109427
"Mike Cameron"	0.109405
"Chad Curtis"	0.109268
Bergeron	0.109249
"Manny Ramirez"	0.109239
Alomar	0.108938
Vaughn	0.108925
"Scott Rolen"	0.108605
"Glenallen Hill"	0.108573
"David Segui"	0.108566
DiSarcina	0.108549
"Kevin Jordan"	0.108411
"Keith Lockhart"	0.108038
Grissom	0.10799
"Rickey Henderson"	0.107945
"Mike Stanley"	0.107913
Burks	0.107876
Ripken	0.107876
Boone	0.107858
"Matt Mieske"	0.107844
"Tony Batista"	0.107722
"Brian Jordan"	0.107643
"Matt Luke"	0.107529
Trammell	0.107414
"Darryl Hamilton"	0.107362
"David Ortiz"	0.107134
"Mike Lieberthal"	0.107105
"Scott Brosius"	0.106894
"Johnny Damon"	0.106784
"Shane Spencer"	0.106677
"Matt Franco"	0.106472
"Garret Anderson"	0.106313
"Wally Joyner"	0.106209
"Tony Womack"	0.105999
"Russ Davis"	0.105794
"Mike Bordick"	0.105022
"Rusty Greer"	0.104537
Hollandsworth	0.104493
"Jose Hernandez"	0.104186
"Greg Vaughn"	0.104186
Beltre	0.104177
Cordero	0.104166
"Eric Chavez"	0.104019
"Gregg Jefferies"	0.103949
"Cliff Floyd"	0.103928
"Craig Counsell"	0.103732
Rodriguez	0.103702
"Tino Martinez"	0.103618
"Brady Anderson"	0.103466
Hundley	0.103382
"Todd Zeile"	0.103298
"Chipper Jones"	0.103262
"Jay Payton"	0.103046
"Edgar Martinez"	0.102889
"Luis Lopez"	0.102346
Cora	0.102289
"Vinny Castilla"	0.102245
Buhner	0.102179
Javier	0.102056
Sojo	0.101979
"Dave Hansen"	0.101762
"Adam Kennedy"	0.101555
Mondesi	0.101405
Knoblauch	0.101356
"Roberto Alomar"	0.101241
"Andruw Jones"	0.101231
"Pat Meares"	0.101134
"Travis Fryman"	0.101054
"John Valentin"	0.101032
Gwynn	0.100747
"Todd Helton"	0.100733
"Jim Thome"	0.100475
Baerga	0.100365
"Tony Phillips"	0.100284
Piazza	0.100153
"Albert Belle"	0.100019
))
(bickering (desc 16885.9) (sims
squabble	0.160488
wrangling	0.150521
quarrel	0.123183
disagreement	0.120964
feud	0.118158
acrimony	0.114806
in-fighting	0.114789
dispute	0.114445
rancor	0.112661
haggling	0.109934
discord	0.109839
finger-pointing	0.108736
wrangle	0.107713
rift	0.104569
strife	0.101309
tension	0.101067
partisanship	0.0995848
rivalry	0.0965354
confusion	0.0943669
stalemate	0.0929668
sparring	0.0926092
infighting	0.0925785
friction	0.0910949
debate	0.0876822
mistrust	0.087627
struggle	0.0875261
turmoil	0.0870585
dissension	0.0865478
fistfight	0.0847278
spat	0.0845806
controversy	0.084354
fighting	0.0835837
conflict	0.0834355
bitterness	0.0823129
uncertainty	0.082218
bloodshed	0.0821851
unrest	0.0819933
skirmish	0.0815606
distrust	0.0782728
clash	0.0773074
back-and-forth	0.0772977
hostility	0.0764525
anger	0.0761463
bloodletting	0.0760287
divisiveness	0.0754643
chaos	0.0751357
animosity	0.0751279
confrontation	0.0750476
fracas	0.0748278
antagonism	0.0744601
gridlock	0.0743673
fisticuffs	0.0741813
instability	0.0737705
impasse	0.0735078
difference	0.0730252
tug-of-war	0.0727798
"red tape"	0.0724336
recrimination	0.0718091
misunderstanding	0.0714903
tussle	0.071104
upheaval	0.0690382
"name calling"	0.0689467
deadlock	0.0689179
"price war"	0.068409
rioting	0.0682339
violence	0.0675386
corruption	0.0672271
scandal	0.0657045
"custody battle"	0.0656141
schism	0.065433
intrigue	0.0648369
bargaining	0.0647539
furor	0.0645164
argument	0.0644286
hand-wringing	0.0641421
polarization	0.064124
posturing	0.0638315
machination	0.0635091
speculation	0.0634556
uproar	0.0633663
frustration	0.063321
criticism	0.063003
litigation	0.0626438
discontent	0.0620294
warfare	0.0618447
brinkmanship	0.0616209
standoff	0.0614591
crises	0.0612316
enmity	0.0611149
banter	0.060739
resentment	0.0606029
jealousy	0.0603762
soul-searching	0.060005
hatred	0.0599444
prejudice	0.0597561
volatility	0.059523
"public debate"	0.0587267
brawl	0.0584654
jitters	0.058358
rhetoric	0.0582474
outrage	0.0581786
gamesmanship	0.0581673
insecurity	0.0581359
lawlessness	0.0577132
repression	0.0573799
looting	0.0573706
nervousness	0.0573298
inertia	0.0571853
ribbing	0.0569554
altercation	0.0568983
"civil war"	0.0568894
rebellion	0.0567713
suspicion	0.0566261
anxiety	0.05607
skepticism	0.0555277
accusation	0.0554192
deliberation	0.0552932
melee	0.055291
"bad weather"	0.0552889
woe	0.0545519
rumor	0.0545476
dissent	0.0545274
shelling	0.0545132
showdown	0.0543857
agitation	0.0543574
scuffle	0.054218
revolt	0.0540251
firestorm	0.0538255
disaffection	0.0537571
disillusionment	0.0536357
indecision	0.0536315
arm-twisting	0.0532947
inefficiency	0.0531116
firefight	0.0528784
disunity	0.0527549
disarray	0.0520688
"economic crisis"	0.0519536
tumult	0.0519133
campaigning	0.0518977
frenzy	0.0518759
negativity	0.0514303
"price competition"	0.0512679
hoopla	0.0511368
miscommunication	0.0510968
unhappiness	0.0510666
brouhaha	0.0508244
factionalism	0.0507809
hype	0.0507771
inexperience	0.0507648
horse-trading	0.0506486
consensus	0.0506259
harassment	0.0505614
one-upmanship	0.0504661
difficulty	0.0502565
paralysis	0.050212
"arms race"	0.0501013
belligerence	0.0500362
"guessing game"	0.0500359
panic	0.0499612
outcry	0.0499034
"labor dispute"	0.0496956
divergence	0.0496708
disappointment	0.0494719
mediocrity	0.0494562
nastiness	0.0494452
glitch	0.0494431
tiff	0.0493998
commotion	0.0492301
bombardment	0.0492042
"balance of power"	0.0491745
Distress	0.0491463
apathy	0.0490878
heckling	0.0488295
greed	0.0487541
give-and-take	0.0487363
unease	0.0484307
mismanagement	0.0482968
backlash	0.0482824
disruption	0.0480669
weakness	0.0479765
grief	0.0478398
riot	0.0478269
shortage	0.0477762
nepotism	0.047705
resistance	0.0475875
contretemps	0.0475692
turbulence	0.0475596
breakdown	0.0475046
reluctance	0.0474623
gunbattle	0.0474465
discomfort	0.0473852
logjam	0.0472959
arrogance	0.0472637
antic	0.0472465
questioning	0.0472436
mayhem	0.047239
"corruption scandal"	0.0471313
vendetta	0.0470214
cynicism	0.0469372
indoctrination	0.0468525
))
(bicycle (desc 41774.3) (sims
bike	0.269212
Motorcycle	0.213795
motorbike	0.155588
tractor	0.139184
scooter	0.129927
automobile	0.123999
"mountain bike"	0.121619
"motor vehicle"	0.120921
bus	0.120055
horseback	0.119963
"washing machine"	0.11893
truck	0.118864
snowmobile	0.118168
car	0.118035
moped	0.115725
vehicle	0.112485
trolley	0.109221
appliance	0.106975
boat	0.106378
"tv set"	0.106069
jeep	0.103728
tricycle	0.100973
"household appliance"	0.100676
taxi	0.0999055
auto	0.0976346
air-conditioner	0.0973912
"electric fan"	0.0970466
furniture	0.096849
skateboard	0.0960716
rickshaw	0.0958564
conditioner	0.0957718
"sewing machine"	0.0954064
cart	0.0945971
"pickup truck"	0.0917369
"lawn mower"	0.091441
airplane	0.0904684
train	0.0903332
"motor scooter"	0.0899551
"passenger car"	0.0893568
"school bus"	0.087906
refrigerator	0.0857854
"television set"	0.0857431
ski	0.0856792
van	0.0853591
equipment	0.0852121
horse	0.0843067
Tram	0.0822015
jewelry	0.0820982
Clothing	0.0815049
watercraft	0.0806726
garment	0.0802733
toy	0.0801724
shoe	0.0801001
carriage	0.0797699
kayak	0.079628
treadmill	0.0791097
"golf cart"	0.0786819
trailer	0.0783889
tire	0.0782912
canoe	0.0782758
machine	0.077671
wagon	0.0775656
machinery	0.0771924
limousine	0.0752064
cloth	0.0746207
pickup	0.0745582
"home appliance"	0.0744619
footwear	0.0737333
"machine tool"	0.0726688
goods	0.0726595
"personal computer"	0.0722512
rail	0.0718199
subway	0.0708875
electronics	0.0706897
apparel	0.0704764
Sedan	0.0704531
Computer	0.0701651
locomotive	0.0698526
sled	0.0696237
phone	0.0696041
aircraft	0.0693679
"communications equipment"	0.0690968
wheelchair	0.0690638
"sports car"	0.0683812
textile	0.0673792
camera	0.0673693
"dump truck"	0.067364
lorry	0.0666021
camel	0.0664358
ship	0.0663528
yacht	0.0662936
"electronic equipment"	0.0661028
rig	0.0660935
VCR	0.065803
"building material"	0.0655065
Buggy	0.0653701
"color television"	0.0650935
motorboat	0.0650932
plane	0.0650363
"cable car"	0.0647563
steel	0.0646406
ferry	0.0641515
stroller	0.0641337
container	0.0638689
battery	0.0638581
helicopter	0.0637839
sailboat	0.0636283
stereo	0.0634699
"consumer electronics"	0.0632279
"roller coaster"	0.0632265
"power tool"	0.0631928
Foot	0.0631476
Harley-Davidson	0.0630248
mattress	0.062957
carpet	0.0627127
cosmetic	0.0623036
kitchenware	0.0622138
barge	0.0620764
plastic	0.0619196
firearm	0.0619014
engine	0.0618638
"subway train"	0.0617468
telephone	0.0617274
"shuttle bus"	0.0616772
Mercedes	0.061556
accessory	0.0614606
gun	0.061095
generator	0.0610863
cigarette	0.0610649
"station wagon"	0.0609535
surfboard	0.0609336
tank	0.0609332
elevator	0.0609226
semiconductor	0.0608962
wheel	0.0607758
"microwave oven"	0.0605198
"electric car"	0.0604814
motor	0.0604033
speedboat	0.0600179
chair	0.0600002
box	0.0599863
"consumer goods"	0.0599282
"patrol car"	0.0598842
minivan	0.0598279
sofa	0.0596858
"durable goods"	0.0596791
knitwear	0.0592077
laptop	0.0592026
"freight train"	0.0590807
mule	0.0590487
"spare part"	0.0589268
product	0.058872
gear	0.0588575
furnishings	0.0588423
"water heater"	0.0588393
raft	0.0585413
suitcase	0.0584792
"cellular phone"	0.0584105
minibus	0.0582988
luggage	0.0574726
lamp	0.057436
"tractor trailer"	0.0573206
metal	0.0573196
PC	0.057235
foodstuff	0.05722
backpack	0.0570564
Ambulance	0.0569861
"vacuum cleaner"	0.0569291
pedestrian	0.0566905
item	0.056688
hardware	0.0566039
doll	0.0565543
cab	0.0563842
"fire truck"	0.0562402
Limo	0.0558069
SUV	0.0557661
tanker	0.05572
Cruiser	0.0557123
bottle	0.0556411
bicyclist	0.0556005
"laptop computer"	0.0555927
stove	0.0555524
cookware	0.05547
bag	0.0554672
handbag	0.0553562
SUVs	0.0553097
condom	0.0550989
RV	0.0550861
T-shirt	0.0550497
"tape recorder"	0.0549919
newsprint	0.0549186
Beer	0.0548362
leather	0.0547833
"race car"	0.0547442
utensil	0.0546494
"diesel engine"	0.0546164
tool	0.0545926
"golf club"	0.0545206
shirt	0.0543936
"shopping cart"	0.0542685
))
("bicycle race" (desc 2155.63) (sims
"horse race"	0.0964321
time-trial	0.0914677
toymaker	0.0795663
Giro	0.075584
"ski race"	0.0738297
"chess player"	0.0735857
cycling	0.0705726
"relay race"	0.0698452
"Bjarne Riis"	0.0664347
metropolises	0.0642839
Criterium	0.0639348
"Miguel Indurain"	0.063175
"toy retailer"	0.0629791
"Marco Pantani"	0.0626396
polluter	0.0623337
"car race"	0.0623167
"suspension bridge"	0.0620389
"symphony orchestra"	0.0617177
"body of water"	0.0615075
"Tour de France"	0.0602136
"test-tube baby"	0.0592711
"over @@@ kilometers"	0.0584238
"track meet"	0.0583807
"dog show"	0.0579581
Polgar	0.055447
"yacht race"	0.0550734
"tennis player"	0.054511
"Ferris wheel"	0.0542934
"morale booster"	0.0536571
biathlon	0.05321
cricketer	0.0530932
"written language"	0.0529861
yeshiva	0.0529547
cellist	0.0528061
"literary work"	0.0526392
triathlon	0.0526121
"Bordeaux wine"	0.052608
"ball of fire"	0.0523516
"World Basketball Championship"	0.0516177
ballgames	0.0509859
"Boston Marathon"	0.0509575
"insurance broker"	0.0508019
Ullrich	0.0499899
shipbuilder	0.0497001
Oaks	0.0489981
miler	0.0483863
"oil slick"	0.0478772
"food company"	0.0478062
"Phoenix Open"	0.0477502
hurdler	0.0475654
"public square"	0.0473767
"takeover attempt"	0.0472849
"volleyball player"	0.0471403
roadshow	0.0470738
"hockey game"	0.0470157
bullfight	0.0466451
"hue and cry"	0.0465749
"art exhibition"	0.0465486
"day game"	0.046036
"race horse"	0.0455479
"spelling bee"	0.0454923
jamboree	0.0454534
"Team New Zealand"	0.044923
achiever	0.0449078
Heptathlon	0.0446414
pentathlon	0.0445095
"London Marathon"	0.0443312
"Greek Orthodox Church"	0.0440704
"True Thing"	0.043513
"Passion play"	0.0433981
batsman	0.0433852
"music school"	0.0433232
"Grand Slam Cup"	0.0433023
"jam session"	0.0432481
"tropical rain forest"	0.0431476
"African Cup"	0.0431233
"basketball league"	0.0430708
"belly dancer"	0.0429896
ballgame	0.0426351
"theatrical performance"	0.0423783
"Royal Opera House"	0.0423598
"NL Rookie"	0.0422907
"takeover battle"	0.0422722
derriere	0.0420039
"vacation spot"	0.0418213
Wetland	0.0417938
"boat race"	0.0417533
"natural ability"	0.0415892
roundtrip	0.0414366
marathoner	0.0412639
Anglican	0.0410861
"toy maker"	0.0410397
"domed stadium"	0.0409306
billionaires	0.0407762
"Orthodox Christians"	0.0407302
"New York City Marathon"	0.0406103
"British Opens"	0.0405712
"Indy @@@"	0.0404269
theocracy	0.0403905
storehouse	0.0400906
))
(bicycling (desc 3057.94) (sims
"horseback riding"	0.172
jogging	0.167504
boating	0.151787
hiking	0.144799
skiing	0.140024
"rock climbing"	0.138651
"mountain climbing"	0.130754
golfing	0.114046
cycling	0.11328
skateboarding	0.110491
"scuba diving"	0.110187
snorkeling	0.105045
aerobics	0.103262
archery	0.0998651
rowing	0.0928831
Skating	0.0907933
camping	0.0881932
luge	0.0879199
surfing	0.0840676
equestrian	0.083053
swimming	0.0815932
"table tennis"	0.0757184
"ski jumping"	0.0750656
"ice skating"	0.0743944
sledding	0.074096
gardening	0.0738436
"figure skating"	0.0733371
calisthenics	0.0730571
motoring	0.0704654
"ballroom dancing"	0.0701282
riding	0.0700533
volleyball	0.0681101
plowing	0.0680824
"water polo"	0.067972
"ice hockey"	0.0669087
Gymnastics	0.0666516
parachuting	0.066236
mountaineering	0.064774
"mountain bike"	0.0638409
hunting	0.0625139
biathlon	0.0624581
sailing	0.062322
Yachting	0.0623038
badminton	0.0614632
gliding	0.0605039
judo	0.0596642
softball	0.0591737
Bowling	0.0587322
"roller skating"	0.0576528
wrestling	0.0568771
triathlon	0.0568669
angling	0.0535494
dribbling	0.0526661
"fox hunting"	0.0509987
"field hockey"	0.0498957
"track and field"	0.0497406
curling	0.0493477
pentathlon	0.0488815
scuba	0.048455
boarding	0.0482117
taekwondo	0.0477305
karate	0.0473966
karaoke	0.04732
jumping	0.0471885
"cross country"	0.0465278
sightseeing	0.0461184
Rugby	0.0460522
fencing	0.045138
"martial art"	0.0450635
juggling	0.0450473
snowmobile	0.0448188
yoga	0.0442562
"west northwest"	0.0442431
grooming	0.0430682
southland	0.0426342
Bigfoot	0.0424351
sewing	0.0421439
poking	0.0419898
weightlifting	0.0412519
footpath	0.040465
off-day	0.0402728
))
(bicyclist (desc 5113.07) (sims
jogger	0.170354
bikers	0.163373
cyclist	0.146361
motorcyclists	0.119627
"rock climber"	0.105507
picnicker	0.0990022
pedestrian	0.0980468
hiker	0.097598
boater	0.0960315
skateboarder	0.0947779
skiiers	0.088663
skier	0.0873825
skydiver	0.0796298
motorist	0.0787888
snowmobilers	0.0756423
"bird watcher"	0.0753345
snowboarders	0.0752177
climber	0.0748023
skater	0.0714959
passerby	0.0687062
equestrian	0.066453
daredevil	0.0631045
fisherman	0.0613336
camper	0.0612983
"mountain climber"	0.0611795
passersby	0.060811
parachutist	0.0593689
worshiper	0.0589796
sailor	0.0588554
mugger	0.0587255
protestor	0.0585991
"military vehicle"	0.0573385
motorcyclist	0.0558892
outdoorsman	0.054817
marcher	0.0543681
Potapenko	0.0543356
fencer	0.0540285
kayakers	0.0539524
"Jerry Bailey"	0.0533691
surfer	0.0533116
worshipper	0.0527772
diver	0.0527586
trucker	0.0526802
enumerators	0.0523489
searcher	0.0521886
"law officer"	0.0519748
"deputy sheriff"	0.0517824
rioter	0.0516994
firemen	0.0516096
commuter	0.051567
rickshaw	0.0512069
policemen	0.05075
Haitian	0.050529
biker	0.0504817
reveler	0.050125
"second person"	0.0500167
racer	0.0499208
"hockey player"	0.0497175
paratrooper	0.0492509
parolee	0.0491022
crewman	0.049052
stone-throwers	0.0488769
panhandler	0.0486475
adoptees	0.0483801
"fire fighter"	0.0483398
policewoman	0.048252
"North Africans"	0.0481869
backpackers	0.0480816
"federal agent"	0.0480678
motorbike	0.0480637
Salvadoran	0.0480436
serviceman	0.0480382
"school girl"	0.0480224
"mountain bike"	0.0476233
angler	0.0474731
militiaman	0.0473476
"truck driver"	0.0472812
birder	0.047268
enlistee	0.0472563
bird-watchers	0.0472455
enactors	0.0471319
commando	0.0468801
"Sri Lankans"	0.0468084
picketers	0.0466097
"bus driver"	0.0466082
"black person"	0.0464126
"church member"	0.0463723
demonstrator	0.046348
policeman	0.0463123
churchgoer	0.0461885
"air force officer"	0.0459158
canoeist	0.045857
"sled dog"	0.0457748
"mail carrier"	0.0456303
balloonist	0.0454342
logger	0.0454226
Honduran	0.0453136
Mini-bus	0.0451375
servicemen	0.0451328
"New Zealander"	0.0447532
bystander	0.0447132
guardsmen	0.0447093
neo-Nazis	0.0446589
theatergoer	0.044607
celebrant	0.0445912
trolley	0.0445284
gardener	0.0444213
Zairean	0.0443002
"Kosovo Serbs"	0.0442397
soliders	0.0442333
rower	0.0441241
shopkeeper	0.0441178
enthusiast	0.0440689
partygoer	0.0440067
mourner	0.0439741
transient	0.0437763
Kurds	0.0437251
"sailing vessel"	0.0436894
stroller	0.0435845
optometrist	0.0433991
sunbather	0.0433717
sleigh	0.0433317
patrolman	0.0432351
"Laffit Pincay"	0.0431774
mercenary	0.043105
"tennis player"	0.0430066
Westphal	0.0429632
"computer expert"	0.0429371
"crew member"	0.0428877
"Vitaly Potapenko"	0.0428306
"Dana Barros"	0.0428097
thoroughbred	0.04278
bodybuilder	0.042772
"military personnel"	0.0424988
taxi	0.0424954
onlooker	0.0424188
Muscovite	0.0423882
bettor	0.0423679
"gold miner"	0.0423612
launderers	0.0423184
"third person"	0.042282
trooper	0.0422422
Irishmen	0.042171
janitor	0.042106
burglar	0.0418843
"robbery suspect"	0.0415947
woodworker	0.0415933
"Texas ranger"	0.0413655
Namibian	0.0413615
westerner	0.0412427
"FBI agent"	0.0411061
snowboarder	0.0410272
semitrailer	0.041015
"military man"	0.0410117
"tractor trailer"	0.0410028
"coal miner"	0.0409399
airmen	0.0408836
militiamen	0.0407637
rescuer	0.0407459
zombie	0.0405552
weightlifter	0.040496
"shuttle bus"	0.0404798
"Jehovah's Witnesses"	0.0404164
"Greek Cypriots"	0.0403361
pigeon	0.0402641
bandit	0.0401715
Kazhegeldin	0.0401709
Antley	0.0401187
hostage-takers	0.0400293
))
(bid (desc 187132) (sims
effort	0.164964
offer	0.153128
attempt	0.150971
order	0.135072
"takeover bid"	0.134279
candidacy	0.133675
campaign	0.133419
plan	0.128723
proposal	0.125446
bidding	0.122129
move	0.118023
deal	0.117593
bidder	0.104134
quest	0.102569
takeover	0.0996007
hope	0.099221
merger	0.0970748
initiative	0.0964778
election	0.0933052
preparation	0.093006
process	0.0927782
request	0.0908429
response	0.0895933
agreement	0.0887572
nomination	0.088403
decision	0.0867713
strategy	0.0862966
acquisition	0.0862598
purchase	0.0858321
return	0.0858046
bill	0.0852619
budget	0.0848028
measure	0.0847195
vote	0.0846552
program	0.084343
support	0.0840394
project	0.0836135
reform	0.0830851
future	0.082475
negotiation	0.0817427
action	0.0813837
package	0.0803158
payment	0.079653
race	0.0795701
application	0.0795471
legislation	0.0791401
chance	0.0790204
appeal	0.0789216
case	0.0788887
candidate	0.0788183
sale	0.0786688
settlement	0.0782069
entry	0.0782002
battle	0.0781819
fight	0.077775
investment	0.0775817
price	0.0774583
operation	0.0773029
policy	0.0763926
particular	0.0762587
talk	0.0761561
search	0.0757424
way	0.0757054
pledge	0.0755399
lawsuit	0.0753088
accordance	0.0747403
attack	0.0743736
claim	0.0740477
exchange	0.073886
referendum	0.0738325
investigation	0.0737316
demand	0.0737046
challenge	0.0736556
fund	0.0735974
contract	0.0734548
push	0.073299
contribution	0.0729609
withdrawal	0.0729099
accord	0.0728924
charge	0.0725034
share	0.0724822
statement	0.0723034
fee	0.0723002
government	0.0721741
expansion	0.0721116
March	0.0718961
scheme	0.0717895
endeavor	0.0713331
competition	0.0712801
"senate campaign"	0.0710528
inquiry	0.0709658
cooperation	0.0707423
development	0.0707269
victory	0.0705149
step	0.0699281
primary	0.0698903
membership	0.0698432
contest	0.0697763
participation	0.0696911
resolution	0.0696542
transaction	0.0695392
protest	0.0694916
term	0.0694611
recommendation	0.0694329
drive	0.0694048
announcement	0.0690593
business	0.0688417
country	0.0686202
loan	0.0683756
commitment	0.0682896
committee	0.0682444
position	0.0681919
pact	0.0680755
"price tag"	0.0680584
"tax cut"	0.0679828
motion	0.0679109
China	0.0679071
strike	0.06768
market	0.0674882
venture	0.067333
struggle	0.0673201
visit	0.0673048
compromise	0.0671979
donation	0.0671855
advance	0.0671834
intervention	0.0671793
Declaration	0.0671545
war	0.0671533
event	0.0668783
bailout	0.066778
accession	0.0667029
stock	0.0665979
team	0.0665886
petition	0.0665293
option	0.0664094
part	0.0663178
endorsement	0.0661746
overture	0.0660708
salary	0.0659893
trade	0.0659856
report	0.0658347
Implementation	0.0656354
Alliance	0.0654629
view	0.0654116
Treaty	0.0652367
profit	0.0649376
buyout	0.0648721
amendment	0.0647676
system	0.0647408
Privatization	0.0647336
state	0.064732
idea	0.0644719
desire	0.064451
trip	0.0644262
funding	0.0642388
aspiration	0.0642201
company	0.0641594
group	0.064016
financing	0.0637963
appointment	0.0637005
money	0.0636187
meeting	0.0635095
auction	0.0635078
wake	0.0634863
last	0.063316
Mission	0.0632965
interest	0.0632911
issue	0.0631952
increase	0.0630982
ruling	0.0630981
award	0.0630698
coup	0.0628023
work	0.0627236
plea	0.0626161
spending	0.0625326
offering	0.0624755
"senate race"	0.0624081
matter	0.0623511
prospect	0.0622286
change	0.0622114
"military action"	0.0621389
admission	0.062106
addition	0.0619481
party	0.0619208
need	0.0618669
year	0.061851
cost	0.061847
Senate	0.0617963
cut	0.0616704
concession	0.0615298
suggestion	0.0615298
bonus	0.0615284
activity	0.0614557
approval	0.0614296
grant	0.0614243
"general election"	0.061281
tax	0.0612706
loss	0.0612601
debate	0.0612234
industry	0.0612104
))
("bid price" (desc 1665.96) (sims
"purchase price"	0.128364
"market expectation"	0.0840924
"average cost"	0.0831837
"asking price"	0.0801527
"Film Forum"	0.0762604
"Corcoran Gallery"	0.0749884
"water table"	0.0749086
"voting age"	0.0743999
"retail price"	0.0731182
"offering price"	0.0729856
"list price"	0.0728311
"bank rate"	0.0720671
"selling price"	0.0719023
deductibles	0.0691163
"wage scale"	0.0690823
threshhold	0.0680579
"offer price"	0.0665094
"closing price"	0.0655544
GPA	0.0640495
specs	0.0639162
p/e	0.0634287
"Field Poll"	0.0628006
"legal age"	0.0616856
"retirement age"	0.0615394
mutuel	0.0611752
"seating capacity"	0.0601168
"tender offer"	0.0585368
"Museum of Chinese History"	0.0582382
"dividend yield"	0.0576754
"grade point average"	0.0571509
"safety standard"	0.0569659
headcount	0.0568639
"Walter Reade Theater"	0.0568314
"Atlanta History Center"	0.0564946
"body temperature"	0.0562012
"book value"	0.0550215
"dollar amount"	0.0543839
"Victoria Park"	0.0542887
"tax bracket"	0.0540093
"standard of living"	0.0539936
"bond rating"	0.0537557
octave	0.0535498
wastage	0.053355
"borrowing cost"	0.0523729
"Manhattan Theater Club"	0.0518377
"pay rate"	0.0516502
"order book"	0.0511341
"annual payment"	0.0510518
"turnover rate"	0.0504056
"asset value"	0.050353
"Jewish Museum"	0.0500577
"Tar River"	0.0496939
"Joyce Theater"	0.0490621
"Metropolitan Opera House"	0.0489134
"sticker price"	0.0486593
payout	0.0484179
"U.N. Headquarters"	0.0484063
tranches	0.0483365
"down payment"	0.0482601
"Georgia World Congress Center"	0.0480791
"New York State Theater"	0.0479368
"Radio City"	0.0478031
"fertility rate"	0.0477847
"center of gravity"	0.0475908
caseloads	0.0475414
"National Theater"	0.0475309
"death benefit"	0.0474998
"New York Film Festival"	0.0474086
iteration	0.0473653
spec	0.0467967
"cost of living"	0.0467765
birthrate	0.0467261
capitalisation	0.0466601
flareup	0.0465915
"burden of proof"	0.0460852
"flow rate"	0.0455846
"surface area"	0.0453498
"wage increase"	0.0453326
"margin call"	0.0452605
"Public Theater"	0.045194
"blood sugar"	0.0449224
"air pressure"	0.044707
wattage	0.0445199
"cost structure"	0.0443989
"medical report"	0.0443199
"Gallup Poll"	0.0441611
"tax rate"	0.0439664
"Dorothy Chandler Pavilion"	0.0438997
"gas price"	0.0438781
"financial obligation"	0.0437106
"management fee"	0.0436954
resistence	0.0429706
counteroffer	0.0428699
"Museum of Contemporary Art"	0.0428375
"over @@@ million US dollars"	0.0428216
"National Museum"	0.0424913
co-payments	0.0422798
"Royal National Theater"	0.0422021
"income bracket"	0.042147
"one million yuan"	0.0417622
outlay	0.0413716
"Up to @ inches"	0.0411139
"Social Security benefit"	0.0409977
tranche	0.0409932
C-section	0.0409545
"noise level"	0.0407782
nullification	0.0406814
"key rate"	0.0403482
"house of cards"	0.0403263
))
(bidder (desc 34315.4) (sims
buyer	0.15475
suitor	0.130625
bid	0.104134
bidding	0.103978
developer	0.100698
applicant	0.09708
seller	0.0919681
investor	0.0918767
contractor	0.09102
customer	0.089372
insurer	0.0875131
competitor	0.0867966
donor	0.0867892
contestant	0.086165
employer	0.0861101
finalist	0.0856358
advertiser	0.0848515
candidate	0.0841098
owner	0.0820162
collector	0.0818461
dealer	0.0808738
supplier	0.0799165
"home buyer"	0.079366
"Salt Lake"	0.0791613
firm	0.0789153
corporation	0.0782008
lender	0.0780152
provider	0.0768219
sponsor	0.0762014
individual	0.0760011
"insurance company"	0.07565
foreigner	0.0755565
contender	0.0746326
participant	0.0734818
airline	0.0732741
tenant	0.0730722
retailer	0.0729308
organizer	0.0725885
purchaser	0.072579
entrepreneur	0.0724717
manufacturer	0.0720994
user	0.0716263
broker	0.0714877
businessmen	0.0714415
recipient	0.0714114
client	0.0705447
partner	0.0696474
homeowner	0.0691189
entrant	0.0690891
consortium	0.0686595
plaintiff	0.0685021
lobbyist	0.0684303
importer	0.068205
beneficiary	0.0679988
automakers	0.067881
carrier	0.0678708
ISPs	0.0672235
consumer	0.0672202
"financial institution"	0.067118
shareholder	0.0671035
athlete	0.0665915
operator	0.0664216
bank	0.0663162
subscriber	0.0659427
creditor	0.0658979
taxpayer	0.0656534
challenger	0.0654234
"commercial bank"	0.0653366
contributor	0.0652684
acquirer	0.0650485
distributor	0.0644899
shopper	0.0638709
vendor	0.0637656
employee	0.0636592
landlord	0.0630042
exporter	0.0628913
visitor	0.0626223
rival	0.0623718
publisher	0.0623321
trader	0.0622325
promoter	0.0612275
businessman	0.0611715
defendant	0.0608098
subcontractor	0.0605309
"phone company"	0.0604847
juror	0.060088
claimant	0.0598174
borrower	0.059593
backer	0.0595865
tourist	0.0595439
underwriter	0.0592868
producer	0.0590518
executive	0.058962
hopefuls	0.0589505
"seeded player"	0.0584967
agent	0.0583818
holder	0.0581237
"Salt Lake City"	0.0578991
maker	0.0575173
"school district"	0.0575016
outsider	0.0574285
merchant	0.0573841
lawmaker	0.057317
"political party"	0.0573
auction	0.0569913
grower	0.0569395
exhibitor	0.0567701
farmer	0.0567425
broadcaster	0.0566581
"elected official"	0.0565134
voter	0.056482
banker	0.0564773
inmate	0.0562565
HMO	0.0562301
manager	0.0561729
doctor	0.0560498
wholesaler	0.0559587
person	0.0558859
volunteer	0.0558216
taker	0.0557968
worker	0.0557217
"federal government"	0.0556361
filmmakers	0.0555837
designer	0.0555404
caller	0.0554441
"takeover bid"	0.05524
multinationals	0.0550946
"council member"	0.0550853
"venture capitalist"	0.0550685
"third party"	0.0548924
"business leader"	0.0542051
parent	0.0541481
Reader	0.0541103
traveler	0.0540333
rider	0.0540158
"MCI WorldCom"	0.0539384
witness	0.0538566
physician	0.0538074
"Deutsche Telekom"	0.0536725
Vodafone	0.0534903
professional	0.0534304
nominee	0.0534288
patient	0.0533994
Hijacker	0.0531863
lawyer	0.0531272
winner	0.0529652
enterprise	0.0528753
resident	0.0525149
agency	0.052486
marketers	0.0524855
committee	0.0524533
"Baby Bells"	0.0524017
legislator	0.0523176
"board member"	0.0523138
trafficker	0.0522818
golfer	0.0522796
Republican	0.0522729
"health care provider"	0.0521799
smuggler	0.0521637
passenger	0.0521098
speculator	0.0520807
litigant	0.0520001
builder	0.0519322
front-runner	0.0519209
GM	0.051906
congressmen	0.0518278
opponent	0.0518241
utility	0.0518177
"cable operator"	0.051657
citizen	0.0516426
"family member"	0.0515906
driver	0.0515755
prosecutor	0.0515465
signees	0.0514279
landowner	0.0514021
"travel agency"	0.0512873
"Russian bank"	0.0512849
supporter	0.0512639
scalpers	0.0510098
politician	0.0508198
benefactor	0.0506091
"drug trafficker"	0.0504144
shuttlers	0.0503471
"Ford Motor Co."	0.0503456
renter	0.0503419
"real estate developer"	0.0502698
patron	0.050163
suspect	0.0501596
"top executive"	0.0500656
Boeing	0.0499861
Fishermen	0.0498911
Airbus	0.0498618
aspirant	0.0497762
guest	0.0497639
Democrat	0.049716
Japanese	0.0496966
charity	0.0494109
criminal	0.0493666
entity	0.0493596
journalist	0.0493419
))
(bidding (desc 44049.1) (sims
bid	0.122129
bidder	0.103978
auction	0.101124
tender	0.0825684
voting	0.0812806
registration	0.0778167
competition	0.0773558
buying	0.0726632
negotiation	0.0722935
procurement	0.0710912
financing	0.06982
investment	0.0688593
trading	0.0684002
transaction	0.0671647
Privatization	0.0665209
contest	0.0657137
inspection	0.0649901
planning	0.0644811
sale	0.0644433
selling	0.0641849
lending	0.0641099
balloting	0.0636862
process	0.0628174
election	0.0620612
arbitration	0.0606827
participation	0.0605536
preparation	0.0605013
purchase	0.0602392
debate	0.0598838
borrowing	0.0595448
pricing	0.0594457
running	0.0593324
examination	0.0587928
payment	0.058573
hiring	0.0584727
contract	0.0583776
shopping	0.0583066
lottery	0.0581972
procedure	0.0580451
construction	0.0578493
consultation	0.057111
management	0.0570989
application	0.0570015
operation	0.0568573
activity	0.0566853
exchange	0.0562433
bargaining	0.0562364
Promotion	0.0561738
spending	0.0559726
deliberation	0.0559211
approval	0.0556145
development	0.0555988
discussion	0.0553259
proceeding	0.0552115
trial	0.0551326
booking	0.0551127
"general election"	0.0547165
banking	0.0545785
evaluation	0.0545769
merger	0.0544235
sweepstake	0.0543733
cooperation	0.0541993
offering	0.0540717
"spending money"	0.0536556
betting	0.0535244
Advertising	0.0533622
appraisal	0.0532182
contracting	0.0529675
listing	0.0529345
testing	0.0528526
delivery	0.0526775
investigation	0.0523943
litigation	0.0522343
loan	0.0519073
distribution	0.0517535
action	0.051669
allocation	0.0514853
campaigning	0.0513138
governance	0.0513099
marketing	0.0510354
settlement	0.0510316
regulation	0.051014
selection	0.050931
primary	0.0507881
scramble	0.0507174
research	0.0505331
acquisition	0.0503828
recruitment	0.0503362
"joint venture"	0.050269
enterprise	0.0498866
reform	0.0497498
excavation	0.0497106
training	0.0496035
employment	0.0495976
doing	0.0494019
dialogue	0.0493637
exploration	0.0490798
marketplace	0.0490277
tournament	0.048877
lease	0.0488554
ownership	0.048829
subscription	0.0486021
sector	0.0485911
verification	0.0485037
audit	0.0483651
disclosure	0.0483112
expansion	0.0482399
takeover	0.0481489
checking	0.0480063
Implementation	0.0479886
donation	0.0477477
"Winter Games"	0.0477136
drilling	0.0476889
"initial public offering"	0.0475447
qualification	0.0474925
"training program"	0.0474142
sponsorship	0.0473697
consolidation	0.0473659
protection	0.0469791
"decision making"	0.0469523
supervision	0.0469159
"senate race"	0.0468884
shipping	0.0467887
Exhibition	0.0467489
fighting	0.0466272
"legal proceeding"	0.0464506
"investment fund"	0.0463759
reorganization	0.0463312
screening	0.0463002
funding	0.0462476
repatriation	0.0461544
discount	0.0461034
production	0.0460848
fair	0.0459789
venture	0.0459634
scheme	0.0459164
taxation	0.0458844
access	0.0458812
dealings	0.0456806
renewal	0.0456721
enrollment	0.0456468
tax	0.0456297
designing	0.0455869
e-commerce	0.0455864
signing	0.0455719
"price war"	0.045516
exploitation	0.0454465
mediation	0.0454048
assessment	0.0452684
hearing	0.0452266
input	0.0451259
accounting	0.0450724
commerce	0.0449895
issuance	0.0449669
diplomacy	0.0449638
Liberalization	0.0449193
partnership	0.0446271
arrangement	0.0445686
intervention	0.0445185
Olympics	0.0443211
"stock market"	0.0443019
subsidy	0.0443013
coverage	0.0442941
tariff	0.0442797
ballot	0.0441558
referendum	0.0441541
technology	0.0441369
education	0.044028
liquidation	0.044019
license	0.043935
bankruptcy	0.0439119
firing	0.0438607
"financial institution"	0.0438099
adoption	0.0437989
exercise	0.0437611
enforcement	0.0437339
forum	0.0436729
buyer	0.0436015
speculation	0.0434474
inquiry	0.0433673
filing	0.0433428
audition	0.0432631
security	0.0432622
traffic	0.0432392
cleanup	0.0431095
learning	0.0430078
repayment	0.0428876
option	0.0427874
Exam	0.0427733
collaboration	0.042768
initiative	0.0426588
hunt	0.0426558
"labor market"	0.0426484
fee	0.0426101
insurance	0.0425615
fishing	0.0423271
removal	0.0423155
withdrawal	0.0422421
gambling	0.0421468
IPO	0.0421442
))
(Biden (desc 1227.71) (sims
Baucus	0.193843
Feingold	0.188555
Lautenberg	0.182048
Hollings	0.182013
Bayh	0.180098
"Joseph Biden"	0.17921
Harkin	0.16365
Kerrey	0.16174
Cleland	0.156993
Robb	0.153093
Daschle	0.146924
Ruehe	0.146568
Wellstone	0.145863
Breaux	0.143917
Bruton	0.142859
Moynihan	0.139515
Dodd	0.138641
Jovanovic	0.13412
Meguid	0.128656
Leahy	0.127275
Fieger	0.12309
Margolis	0.121758
Ashrawi	0.118849
Levin	0.116085
Kornberg	0.11587
Goldin	0.11546
Ruggiero	0.114812
Nadler	0.113833
Dingell	0.112984
"Jose Serrano"	0.112042
Kasoulides	0.110489
Camdessus	0.108984
Bolger	0.108738
"Carolyn Maloney"	0.108163
Alioto	0.107455
Napolitano	0.107139
Pryor	0.106511
Glendening	0.105551
Wyden	0.104796
Rossotti	0.104115
Gutman	0.103694
Barksdale	0.103493
Esposito	0.102575
"North Carolina Republican"	0.102258
Bryan	0.101432
Dorgan	0.0999011
"Charles E. Schumer"	0.0994054
Advani	0.099208
Klestil	0.0991883
Conrad	0.0989273
Insulza	0.0986138
Ben-Ami	0.0981988
"Parris Glendening"	0.0980383
Kennard	0.0980369
Wilhelm	0.0974025
Jaffe	0.097366
Nemtsov	0.096599
Fassett	0.0965828
Cuomo	0.0953241
LeBlanc	0.0953073
Zhirinovsky	0.0941138
Sassa	0.0938805
Cleary	0.0935892
"Nita Lowey"	0.093526
Kyprianou	0.0934712
McCurry	0.09345
Torricelli	0.0934436
Knowles	0.0931686
Cleese	0.0923595
Eubanks	0.0916157
Pelosi	0.0907637
Zeng	0.0903707
Allchin	0.0902373
Inhofe	0.0900244
"Lee Hsien Loong"	0.089937
Sumaye	0.0898861
Brownback	0.0898827
Brittan	0.0892196
Shevardnadze	0.089066
Guterres	0.0890291
Gosper	0.0886487
Ikimi	0.0884966
Xiang	0.0882771
Rodionov	0.0882517
Shareh	0.0880957
Orban	0.0875877
Nasrallah	0.0875786
"Carl Levin"	0.0873979
Shaath	0.0872359
Constantine	0.0867835
McDonough	0.0867347
McLeod	0.0867336
Schumer	0.0867222
Rudman	0.0867123
Burleigh	0.086382
Abdel-Meguid	0.0861702
"Carolyn McCarthy"	0.085905
Shaheen	0.0857787
Kushner	0.0856449
Fernandes	0.0853003
Gramm	0.0852492
Braswell	0.0852086
Barbour	0.0851951
Feinstein	0.0849816
Karimov	0.0845113
wen	0.084459
Kok	0.0843856
Tevanian	0.0842214
LaPierre	0.084214
Reinhardt	0.0841879
Piot	0.0841845
Naumann	0.0841632
"Bill Lockyer"	0.084073
Grasso	0.0838937
McManus	0.0838294
Waxman	0.0837942
Rangel	0.0833588
Wenger	0.0832424
Hauser	0.0832323
Longo	0.0830485
Helms	0.0827192
Pangalos	0.0826508
Lott	0.0825337
Markey	0.0822573
Komura	0.0821933
Ikeda	0.0821603
Zou	0.0821429
Ebert	0.081848
Beilin	0.0811312
Yastrzhembsky	0.0811082
Calloway	0.0808801
DERSHOWITZ	0.0808627
Tsang	0.0803835
Carnahan	0.0801695
Fleischer	0.0801346
Alarcon	0.0800233
Meeks	0.0798433
Ciampi	0.0798393
Siazon	0.0797579
Boueiz	0.0795605
Azad	0.0794295
Ebersol	0.0792746
Scalfaro	0.0791337
Bronfman	0.0788979
Stoyanov	0.0788173
"Max Cleland"	0.0785309
Hodler	0.0784098
Cianci	0.0782971
Seleznyov	0.078222
Yazdi	0.0781889
"de Charette"	0.0781846
Schaefer	0.0781433
Reiner	0.0781303
Lessig	0.0780122
"John Warner"	0.0778531
Lehane	0.0774617
Cronin	0.0772611
Dini	0.0767066
Beazley	0.0766299
Waigel	0.0765776
Leghari	0.076567
"Daniel Patrick Moynihan"	0.0765628
Bradshaw	0.0764893
D-Vt.	0.0764869
Hutchinson	0.0764849
Malu	0.0763982
Schmalensee	0.0763027
Barshefsky	0.0762937
Babcock	0.0762529
Nzo	0.0760015
Pickering	0.075893
Shelby	0.0757906
Seaver	0.0757703
Kostov	0.0757292
Glaser	0.0756007
Rendell	0.0754162
Wolfensohn	0.0752618
"Secretary General Esmat Abdul-Meguid"	0.0752359
Levitt	0.0752235
Sensenbrenner	0.0752032
Husseini	0.0750647
Sasser	0.0748879
Juma	0.0746294
Talebi	0.0744691
Iliescu	0.0744146
Greenwald	0.0742878
Moakley	0.0741461
Constantinescu	0.0732405
Ono	0.0730805
"Defense William Cohen"	0.0730588
Fink	0.07302
Blackman	0.0729336
Whitsitt	0.0728816
Byers	0.0728801
Stroyev	0.0728789
Fiorina	0.0728716
Gauthier	0.0727851
COYNE	0.0727266
R-N.C.	0.0727209
Granic	0.0726896
))
(Bidwill (desc 1303.15) (sims
Riady	0.176252
Hess	0.123093
Bogle	0.114431
Bronfman	0.109869
"Al Fayed"	0.108745
Dowd	0.107144
Bettman	0.106565
Newhouse	0.106116
McDonnell	0.105506
Granik	0.10465
Abernathy	0.103924
Puzo	0.101351
Manley	0.101192
Waxman	0.0981849
Ganga	0.0977875
Timlin	0.0973645
Goldin	0.097316
Blume	0.0970021
Gaston	0.0952669
Rubenstein	0.0942956
O'Neil	0.0940878
O'Malley	0.0923061
Bustamante	0.0907
Cooke	0.0901832
pressman	0.0896772
Felten	0.0892935
Nanula	0.0884306
Finkel	0.0878109
Aventajado	0.0858824
Mukora	0.0855224
Gosper	0.0853149
Schwartz	0.0849891
Wolfson	0.0848113
Erving	0.084658
Kuehne	0.0843855
Tsang	0.084241
Haney	0.0841606
Greenberg	0.083868
Whipple	0.0838666
DeBartolo	0.0830085
DeFrantz	0.083002
Diouf	0.0826782
Moonves	0.0824805
Naumann	0.0823292
Echols	0.081752
Ruehe	0.0816985
Rothschild	0.0815277
Polian	0.0811164
Quackenbush	0.0811088
Flaherty	0.0805323
Dubus	0.0804919
Hartwig	0.0802555
"De Klerk"	0.0801252
Yastrzhembsky	0.0799443
Schuerholz	0.0797855
McCourt	0.0797634
Dooley	0.0797296
Gillick	0.0794416
Chung	0.0786331
Ellsworth	0.0785645
Bonanno	0.0784543
Lew	0.0784418
bock	0.0782347
Garcetti	0.0779799
Goossen	0.0779773
Sheinbein	0.0778704
Tagliabue	0.0778332
Podesta	0.0774477
Flores	0.077117
"La Mont"	0.0770361
leeson	0.0770042
Grossman	0.0765033
Unser	0.0764124
Grunow	0.0763234
Reyes	0.0762182
Grasso	0.0761521
Reimer	0.0760378
HELLER	0.0757835
Clements	0.0757665
Wenger	0.0757406
Cowher	0.0751556
Bergeron	0.0747832
Blackman	0.0747147
Lipponen	0.0746233
Zucker	0.0745038
Verniero	0.0743913
Berger	0.0742353
Ratliff	0.0741954
Hersh	0.0741227
Babcock	0.0738788
Donahue	0.073545
Prewitt	0.0734953
Bowles	0.0734546
Troussier	0.0734201
Lacey	0.0733202
Gavin	0.0731619
Skiles	0.073049
Blumenthal	0.0727027
Flanagan	0.0726505
Teresi	0.0724355
Carollo	0.0723226
Ikeda	0.0722801
Lockyer	0.0722005
Antley	0.072191
Bechtel	0.0718935
Ickes	0.0718197
Fleischer	0.071622
Ibarra	0.0713788
showbiz	0.0712928
O'Connell	0.0711483
Dewine	0.0711478
Patten	0.0711296
Blatter	0.0710934
Passarella	0.071082
Liao	0.0710078
Sato	0.071003
Patel	0.0709655
Rosenberg	0.0705935
Lacroix	0.0704403
Gorbachev	0.0703285
Rothenberg	0.0702255
Mfume	0.070204
Grimes	0.0700353
Mendez	0.0700323
Eskew	0.0696093
Partridge	0.0695201
Alderson	0.0695055
Joklik	0.0694887
Cusack	0.0694556
Duquette	0.0693157
McCombs	0.0692752
Colangelo	0.0691925
Shriver	0.0691538
Blackwell	0.0691305
Caldwell	0.0691104
Maldini	0.0690656
Dorismond	0.0686964
Gainey	0.0686136
Geiger	0.0685037
Jayakumar	0.0683287
Jeffers	0.0683009
Ftorek	0.0682073
Contreras	0.0681239
Ghani	0.0680933
Rosen	0.0679833
Hybl	0.0677183
Barros	0.0675353
"administration official"	0.0675317
Hanna	0.0674477
Taft	0.0674221
Menuhin	0.0673405
Duffy	0.0672321
Lockhart	0.0670756
Aleman	0.0670618
Duvalier	0.0670221
Alcorn	0.0668579
Dingell	0.0668494
nix	0.0668002
McVeigh	0.0667394
Monson	0.0666599
Heinrichs	0.0666444
Rawabdeh	0.0665997
Reinsdorf	0.0665646
Eizenstat	0.0665546
Biggs	0.0665525
Okada	0.0665239
Spock	0.066501
McKenna	0.0664145
Stacy	0.0663143
Bessette	0.0661739
Slocum	0.0661155
Berenson	0.0660633
Klima	0.0659776
Dunne	0.0658966
Huizenga	0.0658891
Gilligan	0.0656213
Cleaver	0.0654213
Rollins	0.0650788
Goldstein	0.0650637
Paxon	0.0650202
Valenti	0.0649711
Ramsey	0.0649631
Summitt	0.0649288
Cooley	0.0648736
Sahadi	0.0648582
Kornberg	0.0648235
Borbon	0.0647516
Weldon	0.0646836
Wiggins	0.0645573
Schmidt	0.0645244
McKinney	0.0645188
Stackhouse	0.0644537
Advani	0.0643698
Beazley	0.0642948
Fagan	0.0642529
Sherrill	0.0642065
Autry	0.0641873
Kolbe	0.0641662
Zapruder	0.0641518
Girard	0.0640685
))
(BIE (desc 1616.45) (sims
Benguela	0.31684
Huambo	0.239434
Kuito	0.173385
Balochistan	0.15688
Sofala	0.154072
Nyanza	0.145738
Tete	0.144163
Herat	0.13869
"Chiang Rai"	0.137057
"North Maluku"	0.136746
Tunceli	0.135648
Mpumalanga	0.135541
Katanga	0.134613
Vojvodina	0.130847
Riau	0.129031
Bingol	0.117004
Sirnak	0.116628
Luanda	0.116469
Sindh	0.115839
Pampanga	0.115572
Cotabato	0.107911
Punjab	0.106768
Najaf	0.106683
Bailundo	0.106488
Bamiyan	0.104977
Andulo	0.102018
"rift valley"	0.0972264
Antioquia	0.0948731
Sulu	0.094219
"East Nusa Tenggara"	0.0939412
Putumayo	0.0932798
Khost	0.0919989
Palawan	0.0917505
Isfahan	0.0914791
Tigray	0.0913311
"East Kalimantan"	0.0905585
Maguindanao	0.0901343
Hakkari	0.0897808
Copperbelt	0.0893935
"Surat Thani"	0.0891219
Phuket	0.0860774
Toro	0.0858942
Zamboanga	0.085489
Basra	0.0854662
"Western Cape"	0.0851066
Diyarbakir	0.0828819
Bekaa	0.0811408
Gauteng	0.0807276
Cabinda	0.079826
Bushehr	0.0796489
Basilan	0.0794913
Bursa	0.0794009
Shanxi	0.0791939
Guizhou	0.0791525
Jiangxi	0.0789965
Bataan	0.0785803
"Mount Lebanon"	0.0782121
Hubei	0.0781254
Heilongjiang	0.0773496
Antalya	0.0772329
Guantanamo	0.0770829
"CHIANG MAI"	0.0770196
"Siem Reap"	0.0766943
Norte	0.0756762
Meta	0.0755524
Davao	0.0754226
Hebei	0.0753296
Hunan	0.0749639
Shaanxi	0.0736422
KwaZulu/Natal	0.0730523
Sur	0.0728521
Cochabamba	0.0726287
Kwazulu-Natal	0.072623
Kurdistan	0.0724203
"Eastern Cape"	0.0721971
Jilin	0.0721297
Zhejiang	0.0717337
Bengkulu	0.0715442
Gansu	0.0709041
Limon	0.0702529
Cordoba	0.0698476
Anhui	0.0698182
Henan	0.0698022
UVA	0.0685154
"West Kalimantan"	0.0675021
Qinghai	0.0666206
Maluku	0.0665939
Caprivi	0.0649657
Mekong	0.064323
"Irian Jaya"	0.0640753
Alberta	0.0640425
"Los Angeles City Council"	0.0628655
Darien	0.0623578
quiche	0.0621701
"Labor office"	0.0620019
Adana	0.0616827
Cebu	0.0615529
Manitoba	0.0606775
"East Java"	0.0606032
"Serbian Republic"	0.0602366
Lampung	0.0602364
Izmir	0.0602034
Sidon	0.0594147
Surin	0.0592283
"Lusaka Protocol"	0.0592095
"Mekong Delta"	0.0588244
"Central Java"	0.058543
"West Java"	0.0577256
Santander	0.0569945
Shiraz	0.0564218
"Group of Rio"	0.0562289
Taloqan	0.0558655
WEF	0.0556474
Kandahar	0.0552945
Krasnoyarsk	0.0552104
"South Sulawesi"	0.0548267
Juba	0.0547541
"North West Frontier Province"	0.0541986
Cienfuegos	0.0538148
"Israeli Cabinet"	0.0536662
"Free State"	0.0535761
"European Council"	0.053434
Kupang	0.0500412
"New Brunswick"	0.0495788
Attica	0.0494397
Avila	0.0485447
TDB	0.0479477
Jalalabad	0.0478914
IDB	0.047326
"Nuclear Regulatory Commission"	0.0472715
Kalimantan	0.0471099
Liege	0.046708
Mashhad	0.0461616
Mosul	0.046094
"Bekaa Valley"	0.0460605
Baalbek	0.0455289
ACP	0.0453677
"CBS Sports"	0.0453098
Baotou	0.0452165
Murmansk	0.0450151
Aden	0.0450097
Lucasfilm	0.0449264
GEF	0.0448078
Luzon	0.0448048
EBRD	0.044277
"Chinese Olympic Committee"	0.0440612
NSC	0.0440353
UML	0.0440109
Izmit	0.0438019
"Police Commission"	0.043431
IEA	0.0433621
Abkhazia	0.0432676
IGAD	0.0430732
CSC	0.0429732
BASQUE	0.0429325
JAL	0.0428231
Charikar	0.0427805
OCA	0.042739
FOMC	0.0426522
Pailin	0.0425584
"U.S. Soccer Federation"	0.0424809
SDB	0.0421492
"EU Commission"	0.0420544
"Australian Olympic Committee"	0.0419913
"Damascus Declaration"	0.0418216
"Andean Group"	0.041649
Qom	0.0412911
Nagorno-Karabakh	0.0410651
Palembang	0.040914
"West Timor"	0.0405055
"Prince Edward Island"	0.0403744
CPAFFC	0.0400677
))
(biennial (desc 5081.8) (sims
"Consultative Group"	0.0992863
retrospective	0.078736
"National Games"	0.0740031
"Ryder Cups"	0.070019
"World Cups"	0.0671466
"Olympic Games"	0.0668752
"Commonwealth Games"	0.0663982
"Winter Olympic Games"	0.0647967
"three-day event"	0.0647646
"art exhibition"	0.0647001
"International Symposium"	0.064501
"SEA Games"	0.0640034
"Summer Olympics"	0.0621635
"Asian Games"	0.0614189
"London Marathon"	0.0602955
"Winter Olympics"	0.0595686
Exposition	0.0594539
Paralympics	0.0587638
gala	0.0575927
"X Games"	0.0568879
"Summer Games"	0.05664
"Summer Olympic Games"	0.0562825
"New York City Marathon"	0.0555435
symposium	0.055016
pageant	0.0547897
"World Youth Games"	0.054502
regatta	0.054325
triathlon	0.0542745
"music school"	0.0538405
"International Conference"	0.0538031
"Winter Games"	0.0537248
"Sydney Games"	0.0534028
"Southeast Asian"	0.0530035
"Asian Cup"	0.0523505
"World University Games"	0.051954
"Sydney Olympic Games"	0.0509688
"World AIDS Conference"	0.050918
rodeo	0.0506426
teach-in	0.0498057
tourney	0.0490807
AMM	0.0486869
encyclical	0.0484745
"World Championships"	0.0484476
"football season"	0.0483007
conclave	0.0482567
"World Junior Championships"	0.0482411
"Boston Marathon"	0.0481791
"baseball season"	0.0481061
"Olympic Winter Games"	0.0472785
"Pan American Games"	0.047136
"Ministerial Conference"	0.0470394
"European Championship"	0.0467147
"botanical garden"	0.0464238
"World Petroleum Congress"	0.0464094
"Goodwill Games"	0.0459508
bicentennial	0.0459473
honoree	0.0458987
"Lincoln Center Festival"	0.0456649
"Erie Canal"	0.0453081
"Sydney Olympics"	0.0452656
jubilee	0.0451753
Universiade	0.0451246
IGC	0.0446907
"Copa America"	0.0446837
"Grand Prix"	0.044673
APEC	0.0445951
"Macao International Airport"	0.044564
"European Championships"	0.0444632
"Indy @@@"	0.0443721
"Pan Am Games"	0.0441985
inning.	0.0441592
"Expo @@@@"	0.0435443
"pilot program"	0.0433085
planetarium	0.0430116
six-day	0.0429119
"Eighth National Games"	0.0428235
festivity	0.0426521
Maurier	0.0426423
Asiad	0.0425758
Expo	0.0422014
placers	0.0420289
"African Nations Cup"	0.0417647
"Home Run Derby"	0.0415796
finds	0.0415692
"City Ballet"	0.041443
five-day	0.0413912
extravaganza	0.0408358
pictorial	0.0407684
"Arab-Israeli War"	0.0405408
"All-Star Game"	0.040262
"water project"	0.0401325
"Cannes Film Festival"	0.0401307
"benefit concert"	0.0401187
))
(Bierhoff (desc 1940.42) (sims
"Oliver Bierhoff"	0.175635
Laudrup	0.168494
Moog	0.163416
Moeller	0.163016
Vieri	0.150344
Kluivert	0.14221
Andreychuk	0.139072
Salas	0.135543
Batistuta	0.134266
Bergkamp	0.1207
Woolley	0.120192
Azinger	0.118548
Gorter	0.113638
Atler	0.111395
"Thomas Haessler"	0.110309
Tocchet	0.110305
Klinsmann	0.110152
Leetch	0.107502
Suker	0.10668
Hendrickson	0.106243
Zvereva	0.105428
Marinovich	0.104779
Baerga	0.10288
"Van Roost"	0.102335
Beathard	0.101993
Niedermayer	0.101979
Mcbride	0.101906
Reichel	0.100501
Lindros	0.0987797
Sykora	0.0986927
Solis	0.0980729
"Ivan Zamorano"	0.0968926
"Kristine Lilly"	0.0966209
Barrie	0.0965492
Laperriere	0.0955574
Milbrett	0.0954738
Sundin	0.0954415
Fizer	0.0952299
"Hao Haidong"	0.0946698
Heinze	0.0943749
Baggio	0.0943043
Herta	0.0941982
LeClair	0.0941376
Brister	0.0940336
Tverdovsky	0.0936162
Audette	0.0935101
Yzerman	0.0934028
Peca	0.0933958
Maradona	0.093205
Najera	0.0930092
Savarese	0.0929645
Drury	0.0922604
Gilmour	0.0921751
Turgeon	0.0921018
Kovalev	0.0916549
Heinrichs	0.0911563
"David Trezeguet"	0.0898223
Passarella	0.0896131
Kariya	0.0883749
Pederson	0.0881609
Okada	0.0880101
Kenseth	0.0879608
Stoudamire	0.0879074
"Andreas Moeller"	0.0876148
Chilavert	0.0875551
Geiger	0.0872668
Sakic	0.0871713
"Joe-Max Moore"	0.087027
Hejduk	0.0869857
Verbeek	0.0869296
Sydor	0.086925
Asprilla	0.0868072
"Tore Andre Flo"	0.0863913
Romario	0.0863802
Nedved	0.0863237
Nicol	0.0860831
Cota	0.0854607
Lieberthal	0.0854501
Pagones	0.0853684
Ruehe	0.0852459
Ceballos	0.0851987
"Dejan Stankovic"	0.0851629
Tapia	0.0849785
Skiles	0.0849726
Hyman	0.0849402
Slaney	0.0848363
Ortega	0.0847814
Ainge	0.084683
Graziani	0.0846518
Rahal	0.0844486
Waltrip	0.0844073
Prewitt	0.0843495
Guthridge	0.0843447
Fedorov	0.084309
Mikhailov	0.0838519
Stricker	0.0836441
Sahadi	0.0834063
Gimelstob	0.0831355
Selanne	0.0829746
Zidane	0.0828144
Maldini	0.0824644
Jonsson	0.0823808
Spadea	0.0823517
Chastain	0.0823375
Mendez	0.0823289
"Guy Carbonneau"	0.0818864
Ebersol	0.0817709
Vogts	0.0816532
Holik	0.0812765
Gossage	0.0806888
"Ian Wright"	0.0806785
"Dwight Yorke"	0.080667
LaPointe	0.0806224
Arrojo	0.0805266
Robitaille	0.0804419
Langenbrunner	0.0803036
Zabel	0.0800562
Eizenstat	0.0798672
Johansson	0.0797061
Fleischer	0.0796568
Choi	0.0796489
Insulza	0.0796203
Medvedev	0.0795838
"Ali Daei"	0.0795209
Khannouchi	0.0793375
Capriati	0.0791283
Talebi	0.0790991
Polgar	0.0790779
O'Sullivan	0.0790012
Harkes	0.0787293
Tkachuk	0.078627
Fraga	0.0784942
"Dixon Ward"	0.0784412
Rossotti	0.07844
Lassiter	0.0783474
Hybl	0.0782696
Robson	0.0782694
Bebeto	0.078076
Azizah	0.0780061
Muoneke	0.0779869
Samsonov	0.077931
Koznick	0.0777541
"Tiffeny Milbrett"	0.0776772
Carbonneau	0.077263
Tarawneh	0.0772028
Zambrano	0.0771687
Jacquet	0.0771022
Messier	0.0769125
Bure	0.0767704
Burks	0.0766032
Gogel	0.0765786
"Raul Diaz Arce"	0.0765291
Irvan	0.0765021
Hiett	0.076459
"Stern John"	0.0763265
Donato	0.0762048
Ricci	0.0759515
Cabrera	0.0759512
Hagi	0.0758763
Lobo	0.0758506
Nowitzki	0.0758306
Hatcher	0.0757436
Sasser	0.0754759
Moreno	0.0754476
Finkel	0.0753944
Artest	0.0753687
Rooney	0.0751914
Milutinovic	0.0751718
Strauss-Kahn	0.0749965
Anelka	0.0749854
Joyner-Kersee	0.0749257
Auriemma	0.0746595
Horry	0.0746045
Appleby	0.0745316
Troussier	0.0743914
Sampaio	0.0743123
Edmundo	0.074228
Harbaugh	0.0741253
"Zubin Mehta"	0.0739817
Crenshaw	0.0738777
Odom	0.0738201
Welton	0.0738042
Huskey	0.0737935
Wenger	0.0737786
Beltre	0.073758
Gagne	0.0737023
Brack	0.0736471
Boldon	0.0735581
Beckenbauer	0.0734556
Kanu	0.0734236
Piot	0.0732543
Roenick	0.0731727
Chelios	0.0731099
Camacho	0.0730941
McInnis	0.0727319
Jagr	0.0723908
Olowokandi	0.072342
Paxon	0.0723133
Molinari	0.0722579
Corretja	0.0719857
))
(Biffle (desc 835.28) (sims
Bodine	0.180152
Meissnitzer	0.174764
Cipollini	0.165521
Longo	0.159127
Makinen	0.151366
Sainz	0.143249
Hornaday	0.139124
Loroupe	0.138728
Zanardi	0.137278
Scelzi	0.135267
"Earnhardt Jr."	0.134694
Heyns	0.132986
Montoya	0.132853
Cota	0.132523
Pantani	0.131726
Coulthard	0.13154
Herta	0.129957
Labonte	0.129843
Schumacher	0.129148
"Van Roost"	0.127051
Mayfield	0.126487
Brack	0.125734
Khannouchi	0.125405
Zuelle	0.124326
AEK	0.123663
Franchitti	0.122684
Irvan	0.122571
Solis	0.120932
Hakkinen	0.11989
Jarrett	0.117135
Andretti	0.116889
"Li Xuemei"	0.116834
Schmitt	0.116424
Krayzelburg	0.11533
Okada	0.115219
Doohan	0.112589
Butyrskaya	0.111304
Samuelson	0.111228
Klim	0.111222
"Dale Jarrett"	0.11064
"Christine Arron"	0.110324
Kipketer	0.109521
Sooners	0.107789
Kjus	0.10776
Vasser	0.107592
Szabo	0.106003
"Paul Tergat"	0.105403
Andreychuk	0.105099
Tanaka	0.104703
Tanui	0.104134
Maier	0.103825
Atler	0.103588
Wilhelm	0.103238
Ertl	0.102518
Sautin	0.102456
Ullrich	0.101344
Schrader	0.100074
McCarron	0.0999983
McRae	0.0997981
Devers	0.0994966
Villeneuve	0.0991589
Hoch	0.0988228
Irwin	0.0981276
"Horned Frogs"	0.0979456
Luyendyk	0.0977919
"Regina Jacobs"	0.0977718
"Scarlet Knights"	0.0976006
Nicol	0.0964734
Guerra	0.096468
Passarella	0.0961457
"Jeremy Mayfield"	0.0958813
Medvedev	0.095839
Gilmour	0.0955369
"Bobby Labonte"	0.0955344
"Grant Hackett"	0.094439
Shoate	0.094197
Boardman	0.0940971
Setzer	0.0940375
Bruijn	0.0940134
Aamodt	0.0937386
Thorpe	0.0937184
Hickman	0.0936395
rudd	0.0932499
Azinger	0.0932131
Testud	0.0931339
Sorensen	0.0930444
Millar	0.0927812
"Ward Burton"	0.0925795
Earnhardt	0.0924727
Najera	0.0923793
Takahashi	0.0921565
Fleischer	0.091828
O'Sullivan	0.0917966
"Wang Yifu"	0.0916533
Smyers	0.0912234
Olano	0.0911464
Hawkeyes	0.0911283
Unser	0.090821
Appleby	0.0906599
Calcavecchia	0.0906329
"Sanchez Vicario"	0.0902799
"Inge de Bruijn"	0.0900152
UNT	0.0895754
Stoudamire	0.0893159
Hartsburg	0.0890301
Surin	0.0889144
Jacobsen	0.0885585
Inkster	0.0883462
Gebrselassie	0.0881054
McGreevey	0.0877442
Jalabert	0.0873478
Gillom	0.0868934
Hyman	0.0867755
Vols	0.0867629
Gogel	0.0867152
Goossen	0.0862882
Boilermakers	0.0862865
Olazabal	0.0860442
Roba	0.0860139
Paxon	0.085767
Vinatieri	0.0857431
Rahal	0.085278
"Michael Schumacher"	0.0852024
Colbert	0.0851401
Artax	0.0849719
"Maria Butyrskaya"	0.0847671
Canty	0.0846336
"Irina Slutskaya"	0.0843534
"Jeff Burton"	0.0843096
Sahadi	0.0841894
"Ricky Rudd"	0.0840207
beamer	0.0837347
Cornhusker	0.0836516
"Li Jiajun"	0.0836196
FSU	0.0831929
Tomey	0.0831618
"Golden Hurricane"	0.0829472
Kuehne	0.0827705
Musashimaru	0.0826565
Narayanan	0.0826437
Boldon	0.0823134
Skinner	0.0820834
Waltrip	0.0819522
Kenseth	0.0819287
Cink	0.0818195
"Penny Heyns"	0.0817902
Solich	0.0815197
Edberg	0.0811627
Jovanovic	0.0811172
"MIka Hakkinen"	0.0810679
Krajicek	0.0810116
Pippig	0.0809585
Kasparov	0.0808687
McHale	0.0804041
Sorenstam	0.0803523
"Ralf Schumacher"	0.0803358
Zito	0.0801513
Julich	0.0796122
"El Guerrouj"	0.0790299
Seizinger	0.0785351
"Yu Zhuocheng"	0.078528
O'Reilly	0.0783693
"Banshee Breeze"	0.0780603
Dougherty	0.0780069
Gatling	0.0776289
"Michael Weiss"	0.0775026
Lapentti	0.0774568
Gustafsson	0.0773297
Osborne	0.0772151
Terps	0.0769724
Dukakis	0.0769277
"Bruny Surin"	0.0767121
Maruyama	0.0765857
Pak	0.0764267
"Team USA"	0.0763843
Prewitt	0.0762658
"De Bruin"	0.0761098
Heinrichs	0.0760398
"Tom Dolan"	0.0758309
Schmid	0.0758252
Eyadema	0.0756593
Khabibulin	0.0756561
Henman	0.0755291
Talebi	0.0754291
Mayfair	0.0754098
Briscoe	0.0753501
"Richard Mandella"	0.0752773
Harbaugh	0.0750809
Pioline	0.0749999
Berasategui	0.0749616
Arias	0.0749571
"Greg Ray"	0.0749156
Minutemen	0.0748675
Garces	0.0747235
Runyan	0.0745661
"Seibu Lions"	0.0745307
Mayweather	0.0745306
Blackhawks	0.0744667
Brundtland	0.0744563
Coetzer	0.0743376
))
(bifida (desc 1758.76) (sims
"genetic disease"	0.170273
"cerebral palsy"	0.158131
"cystic fibrosis"	0.14915
deformity	0.140472
syndrome	0.136226
hemophilia	0.131791
cataract	0.125656
anemia	0.125103
epilepsy	0.118197
lupus	0.111554
autism	0.103811
apnea	0.101162
ADHD	0.10102
spina	0.0999742
"muscular dystrophy"	0.0977378
"heart condition"	0.0947012
"Parkinson's disease"	0.094298
IQ	0.0917709
narcolepsy	0.0902506
retardation	0.0899506
dyslexia	0.0889469
abnormality	0.0879422
hypertension	0.0827667
Parkinson's	0.0822287
leukemia	0.0807573
"rheumatoid arthritis"	0.0792641
"tooth decay"	0.0769342
rotavirus	0.0755007
asthma	0.0741393
"heart disease"	0.0740364
als	0.0732968
osteoarthritis	0.0731423
"liver disease"	0.0720797
"common cold"	0.0696887
"multiple sclerosis"	0.0692439
"skin disease"	0.0687342
"skin cancer"	0.0687098
"cardiovascular disease"	0.0685817
corrosion	0.0684864
jaundice	0.0668571
impairment	0.0667642
arthritis	0.0649113
heartburn	0.0648871
"mental disorder"	0.0647777
allergy	0.0638911
"two heads"	0.063689
lesion	0.0617326
degeneration	0.0615612
penis	0.0612695
miscarriage	0.0604467
LASIK	0.0598899
"heart failure"	0.0598095
hernia	0.0596853
herpes	0.0595255
Osteoporosis	0.0592857
"hay fever"	0.0591107
"HIV/ AIDS"	0.0588681
malformation	0.0588622
nearsightedness	0.0586626
"brain tumor"	0.0585257
angina	0.0582116
dementia	0.0579598
trachoma	0.0579143
acne	0.0571958
lymphoma	0.056971
"congestive heart failure"	0.0568129
blindness	0.0560569
psoriasis	0.0558743
glaucoma	0.0558122
leprosy	0.0558042
"sweet tooth"	0.0557181
"anxiety disorder"	0.0556414
arrhythmia	0.0556393
aneurysm	0.0550685
Alzheimer	0.0545611
"high blood pressure"	0.0537699
bronchitis	0.0532
"kidney disease"	0.053171
sclerosis	0.0525708
hepatitis	0.0521051
"Chart Pattana"	0.0519074
"colon cancer"	0.0513973
infertility	0.0510184
fibrillation	0.0498212
Meningitis	0.0489262
gallstone	0.0488937
dysfunction	0.0483104
"Sally Hemings"	0.0481578
"lung cancer"	0.0480845
ulcer	0.0472324
"acquired immune deficiency syndrome"	0.0471521
"morning sickness"	0.0470381
migraine	0.0469412
"Type @"	0.0468597
typhoid	0.0462241
discoloration	0.0461769
"Human Immunodeficiency Virus"	0.0461338
genitalia	0.0458746
"clean slate"	0.0457073
abscess	0.0449998
"hepatitis B"	0.0444012
sickle	0.0444003
melanoma	0.0443802
gonorrhea	0.0441481
myopia	0.0438983
"AIDS virus"	0.0435982
Hemings	0.043474
gallbladder	0.0433862
"Lyme disease"	0.0425914
reflux	0.0422426
"eye disease"	0.0419804
"breast implant"	0.0418687
atrophy	0.0412633
whiplash	0.0410671
inflammation	0.0402283
"back pain"	0.0402066
))
(big (desc 8181.1) (sims
biggest	0.04495
"service break"	0.0411919
))
("Big @@" (desc 13195.3) (sims
"Big East"	0.326065
ACC	0.319582
Pac-@@	0.289947
"Conference USA"	0.271829
"Southeastern Conference"	0.257223
"Big Sky"	0.244006
Pacific-@@	0.237062
"Atlantic Coast Conference"	0.23648
"Western Athletic Conference"	0.216462
WAC	0.189003
NFC	0.171906
"Big Sky Conference"	0.167545
"NFC East"	0.15141
AFC	0.146321
"Division I-AA"	0.144965
SEC	0.142042
"AFC West"	0.137472
"Western Conference"	0.131238
Bundesliga	0.130621
"Big West"	0.13027
"AFC East"	0.129538
"NL Central"	0.126358
"NL West"	0.124288
"Eastern Conference"	0.121795
"American League West"	0.119701
"NFC West"	0.114818
ten	0.114519
WNBA	0.113757
NCAA	0.110871
"National League Central"	0.109831
"AL West"	0.10962
league	0.109247
"Central Division"	0.108773
"Pacific Division"	0.107097
"Atlantic Division"	0.105757
"Division @"	0.104603
"Southwest Conference"	0.104256
"National League"	0.104233
"American League"	0.103592
NL	0.103546
NHL	0.103415
CWS	0.103398
"National League West"	0.102545
"National Football League"	0.101892
"NFC Central"	0.101625
ml	0.100743
"NL East"	0.100663
NFL	0.100353
nonconference	0.0990878
WCC	0.0976514
"AL Central"	0.0944005
interleague	0.0943706
"Ivy League"	0.0943175
"AFC Central"	0.0940748
"Fed Cup"	0.0931596
"AL East"	0.0928624
"National League East"	0.0920069
"SEC East"	0.0918822
"Midwest Regional"	0.0902681
"Premier League"	0.0894755
"Eastern Division"	0.088965
"National Hockey League"	0.0888454
"League Cup"	0.0888375
"Little League World Series"	0.0877937
"Funny Car"	0.0877181
NBA	0.0875857
"U.S. Amateur"	0.0871916
"Italian League"	0.0867879
ABL	0.0841727
"American League East"	0.0834609
C-USA	0.0834572
"West Regional"	0.0832466
"Federation Cup"	0.0824345
CBA	0.0823235
"South Regional"	0.0818907
AFL	0.0818203
"Horned Frogs"	0.0811988
CONCACAF	0.081073
A.L.	0.0809158
AHL	0.0802011
"Alamo Bowl"	0.0794377
EuroLeague	0.079287
ATP	0.0784993
"National Basketball Association"	0.078247
"U.S. Senior Open"	0.078039
"Copa America"	0.0768155
"first nine"	0.0765348
XFL	0.0763276
PBA	0.0757791
"little league"	0.0754137
"ATP Tour"	0.0751324
BCS	0.0750512
al	0.0745507
"College World Series"	0.0722005
"Indy Racing League"	0.0714026
"Canadian Open"	0.0713863
"Confederations Cup"	0.070958
"European Cup"	0.0708316
"Top Fuel"	0.0701074
"World League"	0.07004
ASU	0.0698896
"Western Open"	0.069763
"Northeast Division"	0.0696608
CSUN	0.0696467
PGA	0.0696418
"Atlantic Coast"	0.0694242
"NCAA Tournament"	0.0693754
"Busch Grand National"	0.0689424
"sugar bowl"	0.0686552
cruiserweight	0.0686512
UCLA	0.0686166
"Winston Cup"	0.0685971
"National Collegiate Athletic Association"	0.0683985
"US Open"	0.0683408
"Gold Cup"	0.0681004
"Top @@"	0.0680389
hardcourt	0.067975
"junior lightweight"	0.0677073
"Iowa State"	0.067432
"NASCAR Winston Cup"	0.0672951
"junior middleweight"	0.066942
"Pan Ams"	0.0668815
"Uber Cup"	0.0667779
Super-G	0.0666099
"Arena Football League"	0.0662597
preseason	0.0661384
IRL	0.0660432
"Asian Cup"	0.0659252
"major league"	0.0658107
LPGA	0.0658084
"World Championship"	0.0657067
"African Nations Cup"	0.0656875
"World Boxing Council"	0.0655504
"F.A Cup"	0.0655482
"Davis Cup"	0.0652312
"Champions League"	0.065218
"water polo"	0.0652034
flyweight	0.0649739
"European Champions Cup"	0.0646236
"World Cup"	0.0645633
"first five"	0.0645075
K-State	0.0644321
"Orange Bowl"	0.064216
"Group @"	0.0637752
"UEFA Cup"	0.0636828
"NFL Europe"	0.0636602
Serie	0.063316
"Euro @@@@"	0.0632402
"East Regional"	0.0630757
"Dunhill Cup"	0.062764
"French Open"	0.0626643
"Japan Open"	0.0626181
"Holiday Bowl"	0.0625738
"Champions Cup"	0.0624325
"MLS Cup"	0.0624314
tourney	0.0624185
"Kansas State"	0.0623114
Cornhusker	0.0621953
"Hopman Cup"	0.0621646
snooker	0.0619087
"Solheim Cup"	0.0616781
postseason	0.0616442
"International League"	0.0615493
"first four"	0.0614787
"Fiesta Bowl"	0.0612951
"Kickoff Classic"	0.0611732
LSU	0.0609658
"Notre Dame"	0.0607111
Lobos	0.0605987
"South American"	0.060488
matador	0.0604243
"World Series"	0.0603506
"first cup"	0.0601927
top-@@	0.0599678
"Pan Pacific"	0.0599628
"regulation time"	0.0598483
"first @@"	0.0598399
wildcat	0.0596634
regular-season	0.059646
"first three"	0.0595928
"British Open"	0.0593236
Lipton	0.0589109
"Boston Marathon"	0.0588646
CAA	0.058813
"Arizona State"	0.0587993
"American Hockey League"	0.0587259
"Australian Open"	0.0585275
under-@@	0.0583662
Hokies	0.0581943
Masters	0.0580322
Mavs	0.0577781
"World Group"	0.0577636
"U.S. Open"	0.0577594
"Ohio State"	0.0574893
"junior welterweight"	0.0573711
"Continental Basketball Association"	0.0573338
"FA Cup"	0.0572907
"Italian Cup"	0.0571902
"won three"	0.0570176
"light heavyweight"	0.0566278
))
("Big Apple" (desc 5138.13) (sims
"Holy Land"	0.0573784
L.A	0.0541345
"Twin Cities"	0.0523511
"Granite State"	0.0502003
"Disney World"	0.0501771
"Bay Area"	0.0487866
Alcatraz	0.0482497
Princeville	0.0465162
"Southern California"	0.0459982
Vega	0.0458582
Chinatown	0.0456457
Branson	0.0456157
Graceland	0.0453279
CANCUN	0.0451536
paradise	0.0448777
wrongdoer	0.0445341
"South Texas"	0.0444008
"Yosemite National Park"	0.0439711
Cartagena	0.04259
Philly	0.0418739
Pasadena	0.0412623
TALLAHASSEE	0.0408632
sanitarium	0.0406032
Sahara	0.040116
"home country"	0.04006
))
("big band" (desc 5561.34) (sims
"R&AMP;B"	0.1291
Afro-Cuban	0.124709
bebop	0.124698
bluegrass	0.115031
rhythm-and-blues	0.11408
Motown	0.114064
Reggae	0.112832
klezmer	0.112544
mariachi	0.112406
Jazz	0.102074
Zydeco	0.0970573
"Tin Pan Alley"	0.0931338
"jazz band"	0.0925615
SKA	0.0922226
calypso	0.0919534
flamenco	0.0909688
Latin	0.0898179
gospel	0.0895274
cappella	0.0893402
bluesy	0.0868925
"dance band"	0.0855927
Gershwin	0.083869
merengue	0.0827088
honky-tonk	0.0794078
disco	0.0789739
orchestra	0.0787939
uptempo	0.0777228
Ellington	0.0772543
"chamber music"	0.0771936
"E Street Band"	0.0749572
"Rolling Stones"	0.0745408
"rock band"	0.0744353
"country music"	0.0742818
Funk	0.0731946
retro	0.0728071
"avant garde"	0.0726374
salsa	0.0725563
choir	0.0723382
"classical music"	0.071953
polka	0.070538
glam	0.0703498
percussion	0.0697228
trombone	0.0684406
"rock 'n' roll"	0.0683908
solo	0.0683418
bop	0.0681097
cabaret	0.0678576
harpsichord	0.0674749
"musical theater"	0.0666897
guitar	0.0654548
Philharmonic	0.0650388
Cliburn	0.0644733
sing-along	0.0633423
trapeze	0.0630286
"chamber orchestra"	0.0628365
"silent movie"	0.0626626
quintet	0.0626427
ballet	0.0610188
rumba	0.0605716
ragtime	0.060408
rock-and-roll	0.06028
gangsta	0.0599819
"dance music"	0.059838
Beatles	0.0596663
quartet	0.0594412
minimalist	0.0589731
Tex-Mex	0.0589635
"pop music"	0.0587811
"folk music"	0.0583699
harmonica	0.0581392
"Beach Boys"	0.0578599
"Van Halen"	0.0576887
vaudeville	0.0573659
"brass band"	0.0569688
punchy	0.0564786
Rockettes	0.0563113
"Benny Goodman"	0.0560996
Flute	0.0560913
"high fidelity"	0.0553049
"free form"	0.0551335
"Dirty Bird"	0.0544615
"Frank Sinatra"	0.0542486
instrumentalist	0.0539199
ensemble	0.053762
Phish	0.0537016
"Black Sabbath"	0.053584
techno	0.0534711
"N Sync"	0.0533666
"New York Philharmonic"	0.0531193
"Duke Ellington"	0.0530336
"Burt Bacharach"	0.0530015
kitschy	0.0529651
"blue note"	0.0527533
Wagnerian	0.052623
grunge	0.052477
Cajun	0.0520656
tango	0.052062
scat	0.0517302
"popular music"	0.0515878
Springsteen	0.0514434
karaoke	0.0513848
banjo	0.0512295
"New Age"	0.0509564
oldies	0.0505015
"Patsy Cline"	0.0498731
hip-hop	0.04986
symphony	0.049424
"Cole Porter"	0.0494139
Metallica	0.0493883
NOVA	0.0492916
"Bruce Springsteen"	0.0492519
razzle-dazzle	0.0489244
"musical comedy"	0.0489031
Sinatra	0.0486724
"Jimmy Buffett"	0.0486093
"rock and roll"	0.0485598
"Louis Armstrong"	0.048062
violin	0.0477514
Celtic	0.0477492
hardcore	0.0475588
synthesizer	0.0474698
electronica	0.0474177
Midi	0.0468716
"Bob Dylan"	0.0468164
Chorale	0.0466487
minstrel	0.0464132
circus	0.0462647
"song and dance"	0.0460456
waltz	0.0458416
"string quartet"	0.0456616
"Beijing Opera"	0.0454333
Mexican-American	0.0454297
DJ	0.0454183
capella	0.0452792
ballad	0.04526
"Pearl Jam"	0.0450829
"Charlie Parker"	0.0449434
"Ray Charles"	0.04494
troupe	0.0447744
post-@@@@	0.0447392
bagpipe	0.0446751
"Off Broadway"	0.0446093
clarinetist	0.0444948
"military band"	0.0444764
samba	0.0443732
"North African"	0.0441848
"Count Basie"	0.0440588
"Spice Girls"	0.0439955
four-point	0.0439484
"Los Lobos"	0.0439329
"first unit"	0.0436664
"Limp Bizkit"	0.0433307
MP@	0.043262
Fosse	0.043215
perestroika	0.043028
"James Brown"	0.0429426
saxophone	0.042798
"Jimi Hendrix"	0.0427891
"Boston Symphony"	0.0427849
"folk song"	0.0426504
"Boston Pops"	0.0426435
Yiddish	0.0425592
gothic	0.0425568
zeppelin	0.042461
"jazz musician"	0.0424532
Dylan	0.0422267
LP	0.0420323
"Vienna Philharmonic"	0.0419213
crossover	0.0417425
"spoken word"	0.0417291
composing	0.0416172
late-'@@s	0.0413445
deejays	0.0412782
"first CD"	0.0411354
pulsing	0.041117
ASO	0.0410252
"Bob Marley"	0.0409141
Bach	0.0407136
"Grateful Dead"	0.0406827
Hawaiian	0.0406434
Eurythmics	0.0406407
"symphony orchestra"	0.0406096
"French Canadian"	0.0405743
Americana	0.0402312
"modern dance"	0.0401558
boogie	0.040145
renaissance	0.0400271
))
("Big Bang" (desc 3885.48) (sims
"Agenda @@@@"	0.0935708
"shock therapy"	0.0801701
Shays-Meehan	0.0707346
"particle physics"	0.068476
supernova	0.0674641
"death tax"	0.0629452
deregulation	0.0622813
"market correction"	0.0602579
"Great Expectations"	0.0594846
strangulation	0.0589573
"Real IRA"	0.0556116
realpolitik	0.0544555
"nuclear explosion"	0.0539727
"Third Way"	0.0539502
"deficit reduction"	0.0537877
"Millennium Bug"	0.053439
tort	0.0523739
"dark ages"	0.0510945
"poison pill"	0.0508285
X-@@	0.0504669
privatisation	0.0501543
dollarization	0.0494743
"magic bullet"	0.0494309
"black hole"	0.0486365
"Love Bug"	0.0480076
cross-fertilization	0.045853
"New Economy"	0.0457897
creationism	0.04572
"Vision @@@@"	0.0449906
"industrial revolution"	0.0445563
containment	0.043817
"Baby Bells"	0.0437425
X-MEN	0.0436724
"chemical reaction"	0.0434441
"Ford Expedition"	0.0434016
democratization	0.0433783
rollback	0.0431875
auteur	0.0431727
"Plan Colombia"	0.0430346
perestroika	0.0428553
doomsday	0.0427013
apocalypse	0.0426662
decentralization	0.0420978
"subatomic particle"	0.0419999
multichannel	0.0416424
stopgap	0.041547
"six degrees"	0.0409401
"application program"	0.040919
deterrence	0.0408455
Convergence	0.04079
"margin call"	0.0405365
austerity	0.0403455
seven-point	0.0400383
"Nanjing Massacre"	0.0400346
))
("Big Bird" (desc 1265.52) (sims
Wilma	0.103688
whomever	0.0931376
"Sesame Street"	0.0911784
Teletubbies	0.0865677
piggy	0.0843946
Ernie	0.083395
"split personality"	0.0656376
"Lana Turner"	0.0653068
Kermit	0.0648393
Bert	0.0638579
Rockettes	0.0617929
"grim reaper"	0.0609115
Snoopy	0.0604958
Elmo	0.0584615
"Mickey mouse"	0.0576638
"four lines"	0.0572421
Canty	0.056422
"Norman Schwarzkopf"	0.0562831
"Donald duck"	0.0560293
Lionel	0.0544314
Seuss	0.052765
Furbys	0.0524323
patsy	0.05229
albatross	0.051343
Rugrats	0.0498163
Foxx	0.0494665
nine-tenths	0.0478406
bauhinia	0.0468296
"Stan Lee"	0.0467393
Batman	0.0453717
Winnie	0.0452153
imp	0.044587
"James Dean"	0.0441348
"Tony Soprano"	0.0435726
"Fred Claire"	0.043477
"Danny DeVito"	0.0433542
Samuelson	0.043335
"Walter McCarty"	0.0427302
Superman	0.0424797
"matinee idol"	0.0423555
"Tyra Banks"	0.0421662
"Chris Canty"	0.0421077
puppeteer	0.0419155
sid	0.041317
"Julia Child"	0.0413142
Benny	0.0411205
Treen	0.0407889
pharaohs	0.040633
"coffee pot"	0.0403893
))
("Big Blue" (desc 1022.77) (sims
XYLAN	0.125681
"Deep Blue"	0.114741
Danka	0.109854
Overnite	0.0991881
Penney	0.0981626
"Thermo Electron"	0.0962943
AMF	0.0958162
PictureTel	0.0957905
Pitney	0.0944506
Stratus	0.0920038
Starwood	0.0913591
SGI	0.089224
CCE	0.0887547
IDT	0.0877858
Odwalla	0.0872863
Calvary	0.0857722
Sunbeam	0.0836911
UAL	0.0832574
Deutsche	0.0832014
"Y&AMP;R"	0.0831825
NORTHROP	0.0823335
Cabletron	0.0820279
"P&AMP;G"	0.0803029
PLDT	0.0795299
TYCO	0.0779053
"Pacific Century"	0.0770537
Cray	0.0762921
Georgia-Pacific	0.0762889
Raytheon	0.0762555
"Advanced Micro"	0.0754108
Aegon	0.0751277
Bridgestone	0.0743377
Corning	0.0739642
HP	0.0736612
"Ask Jeeves"	0.0736492
RAMBUS	0.0736297
E-LOAN	0.073288
"Cadbury Schweppes"	0.073135
COLTEC	0.0729282
Globalstar	0.0728942
Lockheed	0.072284
"Consolidated Edison"	0.0720089
Ingalls	0.0719534
RJR	0.07179
"state government"	0.0717434
BIA	0.071147
"Stride Rite"	0.0702921
Totalfina	0.0700091
Micron	0.0700087
Nextel	0.0689897
China.com	0.068644
Halberstam	0.0685468
"First Union"	0.0685277
Clare	0.068217
Thinkpad	0.0677343
Warnaco	0.0676249
Willard	0.0662631
McKesson	0.0661286
Delphi	0.0660635
Caldor	0.06587
Daimler	0.0656822
"State Street"	0.065564
USEC	0.0654913
PBA	0.0654009
Terra	0.0649125
Alcantara	0.0648902
SmithKline	0.0644323
Gartner	0.0643544
Cendant	0.0643137
Honeywell	0.0641726
"Golden Bear"	0.0638514
Panchen	0.0636411
Nepa	0.0636043
"Con Edison"	0.0635866
PEOPLESOFT	0.0635611
CMG	0.0635364
Corel	0.0635328
terrapin	0.0632284
Aetna	0.063163
"Raytheon Co."	0.0629983
Groening	0.0629515
Genentech	0.0627604
CNET	0.062551
NCR	0.0625418
"Network Associates"	0.0623628
Gillette	0.0622888
AutoNation	0.0622803
Kodak	0.0621006
emachines	0.0620778
Federated	0.0613085
chipmaker	0.0613028
AIG	0.061295
Juma	0.0611549
NetZero	0.0607896
Powerbook	0.0605715
"Dayton Hudson"	0.060532
"roughly @@@,@@@"	0.0605012
Chiron	0.0604221
Nanula	0.0602213
Mattel	0.0602068
CUC	0.0600914
VISTEON	0.0593908
"Con Ed"	0.0593351
DMV	0.0591316
TELLABS	0.0591127
Healtheon/WebMD	0.0590965
FPL	0.0589838
Equifax	0.0589835
"Food Lion"	0.0587187
Tenneco	0.0587084
ENTREMED	0.0586139
VoiceStream	0.0586119
AOC	0.0584277
RCN	0.0582447
DOJ	0.0581677
SPP	0.0581299
Enron	0.0580213
"golden rule"	0.0579637
Pinkerton	0.0578856
Agilent	0.0578135
Oneida	0.0577616
"El Al"	0.0576281
Copley	0.0575743
Iridium	0.0575547
MACROMEDIA	0.05749
SabreTech	0.0574798
Roberds	0.0574649
DIVX	0.057391
"U.S. Treasury Department"	0.0572526
Scientific-Atlanta	0.0570657
"Greek Orthodox Church"	0.0569812
TRW	0.0569072
Neel	0.0568067
BCE	0.0567459
"Hong Kong Telecom"	0.0565497
Hancock	0.0565244
"Niagara Mohawk"	0.0564279
"R Block"	0.0562767
Pepsico	0.0561706
Nortel	0.0561069
wallaby	0.0560338
Pairgain	0.0559229
UAM	0.0559165
"Washington Mutual"	0.0558386
Groscost	0.0556562
Merrill	0.0555546
SBC	0.0554487
Tarawneh	0.0551355
NiSource	0.0550087
shaman	0.0549549
modernizing	0.0549458
Livent	0.0546955
KPFA	0.0544463
UTC	0.0544073
Qualcomm	0.0542629
ACOG	0.0542324
"Network Solutions"	0.0542059
Warner-Lambert	0.054199
Cigna	0.0541556
AltaVista	0.0540761
"San Miguel"	0.0540372
Ava	0.0535892
Leibovitz	0.0535726
ITC	0.0534654
Gilead	0.053311
midrange	0.0533083
Vitesse	0.0532904
ExciteAtHome	0.0532007
PSV	0.0531813
Kajiyama	0.0530531
HBOC	0.0530434
VW	0.0530387
AGL	0.0529341
Verizon	0.052912
Utes	0.052901
EMC	0.052897
Pemex	0.0528901
"Bankers Trust"	0.0526968
Schwab	0.0526429
Kozeny	0.0525912
"Silicon Graphics"	0.0525617
Rodionov	0.0525216
Halliburton	0.052399
"KCP&AMP;L"	0.0523914
"Telecom Italia"	0.0523781
Vivendi	0.0523597
"Gillette Co."	0.0523256
"America West"	0.0523235
Zagat	0.0520669
"American Home"	0.0519939
Seminole	0.0518891
Alcatel	0.0518772
Toysmart	0.0518133
"Allied Signal"	0.0516763
"Di Canio"	0.0515778
Unisys	0.0514756
Williams-Sonoma	0.0514364
"HBO &AMP; Co."	0.0511558
"National Grid"	0.0510576
LIFFE	0.051
))
("Big Board" (desc 4966.69) (sims
NYSE	0.35109
"New York Stock Exchange"	0.296138
"Nasdaq Stock Market"	0.245146
"American Stock Exchange"	0.242125
"First Section"	0.162558
Nasdaq	0.157706
"Tokyo Stock Exchange"	0.150614
"London Stock Exchange"	0.148244
"Hong Kong Stock Exchange"	0.144138
"Pacific Exchange"	0.128376
AMEX	0.127161
"stock exchange"	0.10942
"Stock Exchange of Hong Kong"	0.107769
"New York Mercantile Exchange"	0.101701
"Toronto Stock Exchange"	0.0914441
KLSE	0.0900584
Bourse	0.0797083
"National Register"	0.079511
"Shanghai Stock Exchange"	0.0777869
"Board of Trade"	0.074675
"FTSE @@@"	0.0734716
"Shenzhen Stock Exchange"	0.0687199
"Kuala Lumpur Stock Exchange"	0.06643
DSE	0.0656184
"London Metal Exchange"	0.0644803
"Chicago Board of Trade"	0.0631924
NASD	0.0586244
CAA	0.0582416
Broadcast.com	0.0580687
"Chicago Mercantile Exchange"	0.0572178
"Dhaka Stock Exchange"	0.0566932
eBay	0.0564211
sharemarket	0.0559331
HCFA	0.0557445
ECNs	0.0554129
"Boston Scientific"	0.0534827
"Times Co."	0.0529253
Cendant	0.0522455
Instinet	0.0513285
LIFFE	0.0512114
CEC	0.0510177
"Niagara Mohawk"	0.0509883
"National Association of Securities Dealers"	0.0506929
SSE	0.0505709
"small cap"	0.0503407
"Jakarta Stock Exchange"	0.0499714
after-hours	0.0490483
CSRC	0.0487823
"Pacific Century"	0.0480182
"S&AMP;P"	0.0474816
Webvan	0.0471183
TYCO	0.0471177
Starwood	0.0465156
"PG&AMP;E"	0.0463216
"Securities and Exchange Commission"	0.0459051
NatWest	0.0458096
NCR	0.0457634
"House Budget Committee"	0.0457352
"Y&AMP;R"	0.0457134
Medtronic	0.0452859
DEP	0.0451455
"Nuclear Regulatory Commission"	0.0449965
"money market"	0.0444241
VENATOR	0.04428
CSE	0.0441785
"HBO &AMP; Co."	0.0441769
SFC	0.0438782
Corel	0.0437933
"other @@@"	0.0436298
"bulletin board"	0.0435904
inter-Arab	0.043442
SDLP	0.0433315
"closed-end fund"	0.0432273
"Truth Commission"	0.0431588
NHTSA	0.0427675
Priceline	0.0425377
Schwab	0.0424185
"Dell Computer Corp."	0.0422986
RJR	0.0421065
Healtheon	0.0420774
"De Beers"	0.0420656
AIG	0.041678
UAL	0.0415432
Broderbund	0.0415291
McKesson	0.0411934
Cabletron	0.041166
"black market"	0.0409641
Genzyme	0.0408763
"P&AMP;G"	0.0404333
SEC	0.0403817
"Senate Budget Committee"	0.0403301
"foreign exchange market"	0.040251
Asda	0.040162
"House Commerce Committee"	0.0401391
Softbank	0.0401325
))
("Big Brother" (desc 19414.3) (sims
"game show"	0.0920101
"Ally McBeal"	0.0851402
"Early Show"	0.0812699
"Who Wants"	0.0809633
"South Park"	0.0782916
"Will &AMP; Grace"	0.0771282
survivor	0.0755199
"The Sopranos"	0.0752479
Felicity	0.0709396
millionaire	0.0707174
Seinfeld	0.0698967
Buffy	0.0676634
"Late Show"	0.0655371
"Chicago Hope"	0.0650445
"Law &AMP; Order"	0.0648915
Futurama	0.0647103
Falcone	0.063357
newsmagazine	0.0630295
"Everybody Loves Raymond"	0.0627186
"Sesame Street"	0.0625769
er	0.0622171
"Dateline NBC"	0.0612256
Frasier	0.0610563
"Star Trek"	0.0608928
"NYPD Blue"	0.0608034
Malcolm	0.0604707
E.R	0.0588195
"Family Guy"	0.0587442
"big sister"	0.0568417
sitcom	0.0568069
"Murphy Brown"	0.056495
Teletubbies	0.0563651
"West Wing"	0.0563397
"Politically Incorrect"	0.0561859
"television show"	0.0552734
Dilbert	0.0541033
Simpsons	0.0536503
"TV show"	0.0535571
Rugrats	0.0535035
X-Files	0.053479
TV	0.053393
jag	0.0532441
"Good Morning America"	0.0525055
"Spin City"	0.0514724
Pokemon	0.0512528
Moesha	0.0508765
"Home Improvement"	0.0507489
"little brother"	0.0499824
dad	0.0498459
"Sports Night"	0.0496468
"news show"	0.0492095
"soap opera"	0.0490373
Baywatch	0.0490103
SportsCenter	0.048479
CBs	0.0481932
ABC	0.0480731
Superman	0.0478136
"talk show"	0.0477186
infomercial	0.047622
"Pax TV"	0.0475899
Sabrina	0.0475559
"martial law"	0.0472793
mom	0.0472594
"real world"	0.0472112
soprano	0.0470251
NOVA	0.0469694
freak	0.0465605
snoop	0.0463796
"Melrose Place"	0.0460213
"hard copy"	0.0458025
Daddy	0.0457465
Letterman	0.0455712
miniseries	0.0454993
"Jerry Springer"	0.0453701
MTV	0.0453442
Fox	0.0452255
grandma	0.045127
"Star Wars"	0.0447304
Roseanne	0.0444344
NBC	0.0443183
comedy	0.0442745
"television program"	0.0441934
"TV program"	0.0439597
"Night Football"	0.0438919
idiot	0.0434107
wrestling	0.0430991
cousin	0.0427669
"Don Quixote"	0.0427325
mentor	0.0423699
PBS	0.0422705
CAT	0.0421266
"professional wrestling"	0.0420902
UPN	0.042021
"Dream Team"	0.0419609
documentary	0.0418987
"situation comedy"	0.0417726
"role model"	0.0416135
Oprah	0.0416053
"news program"	0.0414831
newsstand	0.0409212
programming	0.0408738
"Night Live"	0.0408294
Nightline	0.0406454
"feature film"	0.0406371
Regis	0.0406012
uncle	0.0405678
VH@	0.0404453
"Regis Philbin"	0.0403423
Everyman	0.0402468
villain	0.040163
))
("big cat" (desc 1475.8) (sims
Galarraga	0.104641
"Randall Simon"	0.0910828
"Erubiel Durazo"	0.088641
"Mark Loretta"	0.0878316
"Brad Fullmer"	0.086601
"David Ortiz"	0.0812911
Alicea	0.0802831
Rolen	0.0785441
"Andres Galarraga"	0.0777803
Walbeck	0.0764816
Daubach	0.0749959
"Terrence Long"	0.0736233
"J.T Snow"	0.0735498
"Wally Joyner"	0.0729304
Burnitz	0.0722949
"Mark Grace"	0.072276
Loretta	0.0706934
"Quinton McCracken"	0.0688263
"Raul Ibanez"	0.0686707
"Ron Coomer"	0.0685419
Catalanotto	0.0685302
Biggio	0.0678791
"Jeff King"	0.0676332
"Kevin Young"	0.0675937
"Mike Sweeney"	0.0674706
Stackhouse	0.0663936
"Travis Lee"	0.0663681
Baerga	0.0660818
Lieberthal	0.065815
Canseco	0.0657364
"Jim Thome"	0.0648225
"Richie Sexson"	0.0645416
Brogna	0.0638857
"Pat Burrell"	0.0638597
"Jose Vidro"	0.0637189
Hollandsworth	0.0633637
"John Jaha"	0.0632094
"Rafael Furcal"	0.0628389
"Frank Catalanotto"	0.0627256
"Kevin Jordan"	0.0625295
"Roberto Alomar"	0.0621829
"Craig Paquette"	0.0620521
"Derrek Lee"	0.0616319
Tatis	0.0615516
"Zydrunas Ilgauskas"	0.0613458
"Dave Martinez"	0.061315
"Jeff Conine"	0.0611799
"Jeremy Giambi"	0.0610905
Palmeiro	0.0610607
"Tyler Houston"	0.061038
"Will Clark"	0.0609822
Batista	0.0606837
Cirillo	0.0603771
Vidro	0.0601139
Fuhr	0.0598463
Bordick	0.0596746
Bautista	0.0596444
"Eric Owens"	0.0591918
"Juan Encarnacion"	0.058937
Cepeda	0.0587649
Veerappan	0.0582231
Meares	0.0580905
"Keith Lockhart"	0.0580676
Lofton	0.0579542
"Scott Spiezio"	0.0576203
"Charlie Hayes"	0.0569285
"Danny Bautista"	0.0565666
"gray whale"	0.0564956
"dairy cow"	0.0563496
"Omar Vizquel"	0.0559911
Fullmer	0.0556016
McGriff	0.0552706
"Paul Konerko"	0.0552033
"Lee Stevens"	0.0551414
"Sandy Alomar"	0.0550382
"Jose Valentin"	0.0550243
"Jim Harrick"	0.0548542
Zeile	0.0548307
"Sean Casey"	0.0547563
"Dave Hollins"	0.0546661
"Magglio Ordonez"	0.0545152
Bech	0.0544847
Helton	0.0544841
"Fred McGriff"	0.0543715
"Rico Brogna"	0.0543407
Furcal	0.0543045
Meggett	0.0541301
Glaus	0.0541227
Vina	0.0540017
"Damian Miller"	0.0539147
Easley	0.0538486
"Kenny Lofton"	0.0535416
"Otis Nixon"	0.0532365
"Mike Lowell"	0.0531609
"Mike Lamb"	0.0530653
"Brook Fordyce"	0.0529503
"Tony Gwynn"	0.0527162
"Wil Cordero"	0.0527056
"Eric Karros"	0.0525535
"Ellis Burks"	0.0524477
"Rafael Palmeiro"	0.052442
"Jeff Huson"	0.0524179
"major-league team"	0.0522381
beamer	0.05219
McAlister	0.0521265
Fryman	0.0519947
"Ray Durham"	0.0517082
Hollins	0.0516355
Murrell	0.051595
"David Dellucci"	0.0514961
Boller	0.0514599
"Marvin Benard"	0.0513897
"Brian Giles"	0.0512453
"Ricky Gutierrez"	0.051186
Giambi	0.051052
DeShields	0.0510438
"Ryan Klesko"	0.0509309
"Golf Channel"	0.0506554
Castilla	0.0505205
"David Segui"	0.050509
"Scott Rolen"	0.0504823
"Frank Thomas"	0.0503497
"Ray Lankford"	0.0502302
"quarter horse"	0.050121
"Corey Koskie"	0.0501126
Delgado	0.0499285
"Greg Colbrunn"	0.049919
"baseball club"	0.0498152
"Jason Giambi"	0.049685
"Joey Cora"	0.0496466
"Javy Lopez"	0.0495563
Erstad	0.049453
"Clay Bellinger"	0.0494249
"Bob Sura"	0.0492738
"Einar Diaz"	0.0492671
"Lance Johnson"	0.0492344
"Daryle Ward"	0.0491941
"Matt Lawton"	0.0490415
"Dave Burba"	0.0489531
"mountain gorilla"	0.0489218
"Ben Grieve"	0.0488861
Barrie	0.0488128
Velarde	0.048776
"Gerald Williams"	0.0485702
Frye	0.048552
Raines	0.0483938
"Delino DeShields"	0.0482542
Javier	0.0482074
"Kurt Abbott"	0.0481472
"Chris Widger"	0.0481471
"Jeffrey Hammonds"	0.0480989
Nevin	0.0480326
Grudzielanek	0.0479282
"Tony Womack"	0.0478622
Intimidator	0.0477049
Abreu	0.0476079
Rhonda	0.0475095
Dierker	0.0474692
"Tim Salmon"	0.0474539
"sea turtle"	0.047354
"Gary Brown"	0.0473345
"Todd Walker"	0.0472574
"Dean Palmer"	0.0472238
Olerud	0.0471412
"Tim Raines"	0.0471194
Aurilia	0.047117
"Russ Johnson"	0.0470817
"Joe Girardi"	0.0470235
baserunners	0.0468925
Renteria	0.0468884
"Darin Erstad"	0.0468207
choirboy	0.0467459
"Cecil Fielder"	0.0467165
"Rondell White"	0.0466894
"Herbert Perry"	0.0466856
"Shane Spencer"	0.0466622
Bibi	0.0466392
"Jaret Wright"	0.0464459
Casey	0.046421
"Brian Daubach"	0.0463557
"Tony Fernandez"	0.0461464
"Brady Anderson"	0.0461037
Tilberis	0.0460903
Dunston	0.0460345
Chicagoans	0.046002
"Devon White"	0.0459398
"Cal Ripken"	0.0457635
"John Vander Wal"	0.0457632
trapper	0.0457568
Leyritz	0.0456826
Baines	0.0456186
wrongdoer	0.0454837
"Richard Cheney"	0.0454794
"Mickey Morandini"	0.0454672
"Todd Helton"	0.0454579
"Edgar Renteria"	0.0453749
"Matt Stairs"	0.045314
"Tony Graffanino"	0.0451651
Berra	0.0451342
Fech	0.0451219
))
("Big Daddy" (desc 4542.51) (sims
"Notting Hill"	0.177274
"Wild Wild West"	0.169952
"Stuart Little"	0.154089
"Runaway Bride"	0.153721
Bowfinger	0.144761
"sixth sense"	0.144676
"Mickey Blue Eyes"	0.142661
stepmom	0.136777
"Inspector Gadget"	0.130384
"Eyes Wide Shut"	0.129554
"Toy Story @"	0.12895
"Patch Adams"	0.128189
U-@@@	0.124141
"American Pie"	0.122372
"Double Jeopardy"	0.116951
"Random Hearts"	0.114761
"Impossible @"	0.113954
entrapment	0.113357
"Ideal Husband"	0.108213
Waterboy	0.107362
EdTV	0.106135
"Cruel Intentions"	0.104337
"Austin Powers"	0.10195
"Fight Club"	0.101217
"Hollow Man"	0.0992375
"Been Kissed"	0.0958525
"Blair Witch Project"	0.0954871
"Civil Action"	0.0933304
"Erin Brockovich"	0.0930988
Tarzan	0.0911628
Rushmore	0.0905229
"Mighty Joe Young"	0.0896259
"Space Cowboys"	0.0893719
"Varsity Blues"	0.088161
"chicken run"	0.0878262
"Thomas Crown Affair"	0.0868303
"Being John Malkovich"	0.0850234
Matrix	0.0840535
mummy	0.083305
"American Beauty"	0.081415
"Galaxy Quest"	0.0785293
"Perfect Storm"	0.0769623
"Life Is Beautiful"	0.0765308
"Meet Joe Black"	0.0764057
"wing commander"	0.0762098
X-MEN	0.0756302
"Got Mail"	0.0743772
"Phantom Menace"	0.0742252
"Jerry Maguire"	0.0715344
Antz	0.0713289
"high fidelity"	0.0703013
"South Park"	0.0689648
Stigmata	0.0677831
"Rugrats Movie"	0.0674108
"Green Mile"	0.0670934
Armageddon	0.0670842
sequel	0.0667806
"Toy Story"	0.0665251
Ronin	0.0663716
"Iron Giant"	0.0657697
"Little Voice"	0.0640624
"Scary Movie"	0.0635615
Tootsie	0.0633669
Muppets	0.0630221
"Saving Private Ryan"	0.0626618
"Smoke Signals"	0.0616108
"Scream @"	0.0615372
"Lake Placid"	0.0614373
dick	0.0612361
Pleasantville	0.0605806
avenger	0.0603186
out-of-towners	0.0590616
"Lethal Weapon @"	0.058447
"Coyote Ugly"	0.0569518
Gladiator	0.0567517
"Parent Trap"	0.0565843
"DEEP BLUE SEA"	0.0560402
"Central Station"	0.0554466
"Forrest Gump"	0.0552105
"love letter"	0.0547943
"L.A Confidential"	0.0547525
musketeer	0.0543049
"Playstation @"	0.0541313
tumbleweed	0.0535528
"True Thing"	0.0528377
"snake eyes"	0.0526583
moneymaker	0.0525961
tango	0.0525368
"Nurse Betty"	0.0523411
"Blair Witch"	0.0521366
tingle	0.0521027
Aamodt	0.0519908
"Top Gun"	0.0517064
Godzilla	0.0515345
blockbuster	0.0511928
"Titan A.E."	0.0498618
Sprague	0.0498442
Frankenstein	0.0495728
"Cider House Rules"	0.0493006
"best man"	0.0492728
"Red Violin"	0.0487174
"two pitchers"	0.0485201
gloria	0.0482552
"World News Tonight"	0.0480303
payback	0.0477294
"wonder boy"	0.047535
"Animal House"	0.0474885
"Cradle Will Rock"	0.0472503
Hollins	0.0469066
"Mod Squad"	0.0462822
Batman	0.046281
Malcolm	0.0459482
"Waking Ned Devine"	0.0459293
"wild West"	0.0458016
"Spin City"	0.0455889
"Everybody Loves Raymond"	0.0452216
"Simple Plan"	0.0448877
"Natural Born Killers"	0.0448633
"Lion King"	0.0448067
"Pulp Fiction"	0.044627
Titus	0.0441332
"rush hour"	0.0441052
Pecker	0.0439042
"Horned Frogs"	0.0436958
psycho	0.043453
Mulan	0.0433866
Freedman	0.0433246
swinger	0.0431863
Jawbreaker	0.0431084
Fantasia	0.0428478
Zorro	0.0426974
Daddy	0.0426681
"Primary Colors"	0.0423117
Bulworth	0.0422652
anna	0.0422475
"Boogie Nights"	0.0417151
"Good Will Hunting"	0.0416957
"El Dorado"	0.041595
"Suddenly Susan"	0.041392
"test data"	0.0413365
"BUENA VISTA SOCIAL CLUB"	0.0412865
"River Plate"	0.0412613
"Opium War"	0.0411782
"Thin Red Line"	0.041176
Rugrats	0.0409833
"Pretty Woman"	0.0406956
Trainspotting	0.0401279
))
("Big Dig" (desc 5673.2) (sims
"Harvard Pilgrim"	0.086822
"Belmont Learning Center"	0.0795968
Internet@	0.0764356
LTCB	0.0744572
"Forest Service"	0.0737997
BIA	0.0710976
"space station"	0.0704271
"Russian Space Agency"	0.0698539
"Gorges Project"	0.0695375
NHS	0.0693411
"Daewoo Group"	0.0689489
Americorps	0.0686606
cleanup	0.0684103
"Gorges Dam"	0.068243
Xiaolangdi	0.0671792
"Department of Corrections"	0.0669374
FEMA	0.0663446
"public works"	0.0650199
BNFL	0.0646521
NEA	0.0632531
FSA	0.0627206
"child welfare agency"	0.0624993
LAPD	0.0623881
"special education"	0.062334
NIH	0.0622326
"Long-Term Capital"	0.06202
medicare	0.0612753
"Board of Elections"	0.0612102
"New York Police Department"	0.060789
Amtrak	0.0605741
NASA	0.0603009
"Census Bureau"	0.0602595
redevelopment	0.0602037
NSC	0.0601097
"International Space Station"	0.0594192
bailout	0.0589665
renovation	0.0587592
Livent	0.058344
"Energy Department"	0.0579539
HUD	0.0571139
"New Jersey State Police"	0.0568907
"Federal Emergency Management Agency"	0.0563391
AMC	0.0561054
"Park Service"	0.0559298
BofA	0.05552
declassification	0.0549217
"mass transit"	0.0548861
"Logan International Airport"	0.0548486
"family planning"	0.0543417
FAA	0.0542385
DMV	0.0540393
"political campaign"	0.0540163
F-@@	0.0538745
"U.S. Forest Service"	0.0538374
Pentagon	0.0537381
SLOC	0.0536109
"Defense Agency"	0.0535813
HKMA	0.0534667
conservancy	0.0534426
"pension fund"	0.0533834
GPU	0.0533442
"nursing care"	0.0527941
GSS	0.0527752
railway	0.0526589
"Defense Department"	0.0526287
"wind power"	0.0522212
"child care"	0.0520434
reclamation	0.0520067
"Los Angeles Unified School District"	0.0519658
IRS	0.0519018
"Suzhou Industrial Park"	0.0518869
"Lincoln Center Theater"	0.0518839
WIPO	0.0518706
monorail	0.0515006
rebuilding	0.0512845
SDPC	0.0511803
"National Park Service"	0.0508812
facelift	0.0508201
"Long-Term Capital Management"	0.0506232
resettlement	0.0503506
LAUSD	0.0503046
NYPD	0.0500865
ACOG	0.0498959
NRC	0.0497457
"R&AMP;D"	0.0497186
CDC	0.0496606
"Israeli Foreign Ministry"	0.0495928
"Bank of Japan Ltd."	0.0493056
UNAMET	0.0491983
"flood control"	0.0491478
census	0.0490638
Massport	0.0490293
"Long-Term Credit Bank"	0.0489283
counterterrorism	0.0488783
"Department of Environmental Protection"	0.0488729
"Metropolitan Transportation Authority"	0.0488717
Medicaid	0.0488445
"North End"	0.0484284
"Bankers Trust"	0.0483104
midlevel	0.0480926
"Peace Corps"	0.0479613
counterintelligence	0.0478697
CalPERS	0.0477801
"Human Genome Project"	0.0477247
expressway	0.0476652
demobilization	0.0475638
"social service"	0.0473296
"Port Authority"	0.0472448
"investment fund"	0.0472397
SBA	0.0472342
DEA	0.0471655
"police department"	0.0471417
"City Opera"	0.0471301
Kaiser	0.0470445
"school system"	0.0469822
servicing	0.0469649
"Airport Authority"	0.0469017
"Pac Bell"	0.0468867
"school district"	0.0468458
OPIC	0.0467991
upkeep	0.0466843
endowment	0.0465067
beautification	0.0462385
"Union Pacific"	0.0461892
DS	0.0461635
"road construction"	0.0461132
CEC	0.0460502
USTA	0.0459831
USEC	0.0459274
NCEC	0.0459182
"debt service"	0.0459143
Mauro	0.0457951
Tat	0.0455483
"health service"	0.0454453
conservation	0.0452468
FPL	0.0449588
Lazarenko	0.0448939
"product development"	0.044844
Nepa	0.0448393
UNRWA	0.0447979
Tenneco	0.0447743
"border patrol"	0.044653
USAID	0.0446404
"nursing home"	0.0441485
MTA	0.0439585
SOCOG	0.0439135
"water project"	0.0438921
"land reform"	0.0437838
mujahedeen	0.0437515
"Department of Education"	0.0436583
"P&AMP;G"	0.043544
"Project Hope"	0.0434322
"day care"	0.0434101
excavation	0.0432985
"Carter Center"	0.0432856
"Justice Ministry"	0.0432705
YankeeNets	0.0432363
Teledesic	0.0432154
"monetary fund"	0.0431956
"prescription drug"	0.0431766
"Department of Transportation"	0.0431138
"missile defense system"	0.0430991
"customs service"	0.0430705
KPA	0.0430579
"National Science Foundation"	0.0430495
"Nippon Credit"	0.0430071
desalination	0.0430002
TAZARA	0.0429179
"Federal Aviation Administration"	0.0429057
HHS	0.0428222
schooling	0.0427305
Yamaichi	0.0427154
DEP	0.0427003
"Education Department"	0.0426987
"Plan Colombia"	0.0426876
WFP	0.0426383
"Treasury Department"	0.0425925
"U.S. Immigration and Naturalization Service"	0.0425568
CBK	0.0423712
"cost overrun"	0.0423635
"fire department"	0.0423327
RJR	0.0423087
Humana	0.0422916
Aetna	0.0422706
DMA	0.0422169
Merrill	0.0420836
"computer system"	0.0420713
procurement	0.0420238
BoT	0.0419722
"pork barrel"	0.0419387
AutoNation	0.0419061
"soil conservation"	0.0418275
Eximbank	0.0417497
"Department of Public Safety"	0.0416227
"power station"	0.0415541
Nissan	0.0414711
"ring road"	0.0414219
"Royal Opera House"	0.0412024
"public utility"	0.0411994
recapitalization	0.0411381
))
("Big East" (desc 10826.5) (sims
"Big @@"	0.326065
ACC	0.300775
"Southeastern Conference"	0.298977
"Atlantic Coast Conference"	0.297413
"Conference USA"	0.281422
Pac-@@	0.281301
"Western Athletic Conference"	0.228213
"Big Sky"	0.226592
WAC	0.214187
Pacific-@@	0.211352
"Big Sky Conference"	0.181606
"AFC West"	0.170356
"Division I-AA"	0.169903
"Big West"	0.16789
"NFC East"	0.16388
SEC	0.157426
"NFC West"	0.153636
"AFC East"	0.152786
NFC	0.151628
"Western Conference"	0.147443
AFC	0.144055
nonconference	0.133629
"AFC Central"	0.129772
"Eastern Conference"	0.128456
C-USA	0.123972
"South Regional"	0.122543
"Pacific Division"	0.122419
"Midwest Regional"	0.119013
"Southwest Conference"	0.118144
"Fed Cup"	0.116528
"Little League World Series"	0.114407
Bundesliga	0.11431
"National Hockey League"	0.114171
"Pan Ams"	0.11337
"Ivy League"	0.111782
"American League"	0.111667
"National League"	0.110309
CWS	0.110151
WCC	0.109417
"Federation Cup"	0.108237
"NFC Central"	0.108218
ten	0.107643
NCAA	0.10642
A.L.	0.104191
"Division @"	0.102725
WNBA	0.102431
"West Regional"	0.10221
NL	0.100475
"Central Division"	0.100286
AFL	0.0999393
"National Football League"	0.099531
"NL West"	0.0993234
NHL	0.0988828
ml	0.0978405
"AL West"	0.0971433
league	0.0970119
NFL	0.0967664
NBA	0.0963887
"Copa America"	0.0957305
ABL	0.0947128
"League Cup"	0.0946354
"National Basketball Association"	0.0944199
EuroLeague	0.0936793
"Atlantic Division"	0.0928416
"Funny Car"	0.092343
"National Invitation Tournament"	0.0917411
UConn	0.0907602
"U.S. Amateur"	0.0900158
tourney	0.0890276
"AL Central"	0.0888158
"Davis Cup"	0.0888014
"World League"	0.0885643
"Eastern Division"	0.0885631
PBA	0.088329
"International League"	0.0879923
"NL Central"	0.0878077
"NCAA Tournament"	0.0873706
nit	0.0873438
AHL	0.0873358
"European Cup"	0.0871134
"match play"	0.0865403
"American League West"	0.086105
"College World Series"	0.0860518
"National League West"	0.0859011
LPGA	0.0851404
"Italian League"	0.0847885
"American Hockey League"	0.0847103
"Top Fuel"	0.0846879
"SEC East"	0.0840468
"National League Central"	0.0835508
"World Championship"	0.0831999
"FA Cup"	0.0831972
"Libertadores Cup"	0.0813647
"Confederations Cup"	0.0802886
"Premier League"	0.0802154
"Canadian Open"	0.0801778
"World Group"	0.0801076
"Hamlet Cup"	0.0799383
"Japan Open"	0.0797759
interleague	0.0797657
"Asian Cup"	0.0789014
"UEFA Cup"	0.0788953
"East Regional"	0.0788748
"U.S. Senior Open"	0.0784858
"Cactus League"	0.0784644
"Continental Basketball Association"	0.0782636
gamecock	0.0780747
"little league"	0.0780522
ATP	0.0765962
"Busch Series"	0.0765568
"National Collegiate Athletic Association"	0.07644
"European Champions Cup"	0.0762827
"Champions League"	0.0762045
"Northeast Division"	0.0762021
"NL East"	0.0759881
"Horned Frogs"	0.0757983
Mavs	0.0756549
postseason	0.0754363
preseason	0.0753348
"Gold Cup"	0.0750988
"Fighting Irish"	0.0747375
al	0.0747277
"AL East"	0.074035
"Stockholm Open"	0.0739777
"Hopman Cup"	0.0733342
"African Nations Cup"	0.0731699
"Uber Cup"	0.0730153
"Solheim Cup"	0.0725638
"F.A Cup"	0.0722188
"Thomas Cup"	0.0719978
"European Champions League"	0.0716658
CBA	0.0715222
"Michigan State"	0.0711573
"American League East"	0.0710725
Cornhusker	0.0707963
"Louis Vuitton Cup"	0.0706012
"Dunhill Cup"	0.0705459
"Italian Cup"	0.0705335
"European Championship"	0.0703258
"water polo"	0.0702548
IRL	0.0698498
"East Carolina"	0.0698238
"ice hockey"	0.0697023
"MLS Cup"	0.0695577
"Hong Kong Open"	0.0691843
"Tar Heels"	0.0687794
"Notre Dame"	0.0687616
"ATP Tour"	0.0685393
NAU	0.0685115
"National League East"	0.0684635
Spartan	0.0683891
Springbok	0.0681923
"US Open"	0.0681603
"Champions Cup"	0.068095
CAA	0.0680922
matador	0.0677013
"ATP Championship"	0.0674592
Minutemen	0.0673882
snooker	0.0673458
flyweight	0.0673425
UCLA	0.0667388
gopher	0.0667086
XFL	0.0666658
"Seton Hall"	0.0666614
Purdue	0.0665283
"United States Open"	0.0662859
buckeye	0.066258
"Senior PGA Tour"	0.0661179
"Swiss Open"	0.0660592
FSU	0.0660146
BCS	0.065922
"first nine"	0.0658554
"Team USA"	0.0657769
"sugar bowl"	0.0655587
"major league"	0.0654277
"World Cup"	0.0653067
"NFL Europe"	0.0652566
Hawkeyes	0.0651396
"PGA Tour"	0.0649757
"Pan American Games"	0.0649457
PGA	0.064926
"Penn State"	0.0646963
Lobos	0.0646877
"Cotton Bowl"	0.064634
IHL	0.0642592
CONCACAF	0.0642543
"first cup"	0.0641292
"French Open"	0.0641225
"New York City Marathon"	0.0640842
badger	0.0640687
"World Series"	0.0637819
"Pan Am Games"	0.0636965
basketball	0.0636449
"LPGA Tour"	0.063629
"NASCAR Winston Cup"	0.063609
under-@@	0.0635636
"Virginia Tech"	0.0635228
hardcourt	0.063476
"Australian Open"	0.0633894
wildcat	0.0632667
))
("big game" (desc 18433.4) (sims
"playoff game"	0.103888
"road game"	0.0970154
"home game"	0.0969641
playoff	0.0962802
"exhibition game"	0.0935179
"Super Bowl"	0.0929238
Powerball	0.091552
"All-Star Game"	0.0914574
postseason	0.0862449
"night game"	0.0805559
opener	0.0788717
ballgame	0.0779219
"Game @"	0.0772168
"Fiesta Bowl"	0.0762269
"Super Bowls"	0.0759075
"World Series"	0.0750277
matchup	0.074858
Lotto	0.0747958
"ball game"	0.074356
"big league"	0.0732327
"close call"	0.0720851
scrimmage	0.0696019
post-season	0.0685512
"baseball game"	0.0680997
"basketball game"	0.0680756
"hockey game"	0.0679384
"Orange Bowl"	0.0665718
lottery	0.0662971
"Kickoff Classic"	0.0662829
"great year"	0.0657839
"Ryder Cup"	0.0646364
finale	0.0636025
championship	0.0632591
"Super Bowl XXXIV"	0.0628889
"World Cup"	0.0622876
"Ryder Cups"	0.0622342
"Super Bowl XXXIII"	0.0620531
"All-Star Games"	0.0619314
NCAAs	0.0619065
showdown	0.0608013
outing	0.0605876
waterfowl	0.0589041
"big time"	0.058821
ballgames	0.0587725
"major league"	0.0585956
audition	0.0580204
stinker	0.0576751
"Davis Cup"	0.0574454
"away game"	0.0571654
"Game @."	0.0565677
doubleheader	0.0564324
preseason	0.0561779
"spring training"	0.0554465
"NBA Finals"	0.0554051
Derby	0.0553529
"Subway Series"	0.0553292
"U.S. Open"	0.0552942
Masters	0.0552294
"cup final"	0.0544474
matchups	0.0543732
"next one"	0.0537833
"Pro Bowl"	0.0537511
football	0.0533836
"NCAA Tournament"	0.053297
rainout	0.0532165
inning	0.0528701
rematch	0.0525587
"Final Fours"	0.0524927
"Cotton Bowl"	0.0524075
NBA	0.0523465
semifinal	0.0520195
Olympics	0.0517792
jackpot	0.0517422
"heavy hitter"	0.0517262
game.	0.0516789
blowout	0.0515313
"minor league"	0.0514807
"NFC Championship Game"	0.0514047
pitching	0.0513362
"Rose Bowl"	0.0512656
"Kentucky Derby"	0.0511788
clutch	0.0509991
"Gold Glove"	0.0508964
"big shot"	0.0508627
majors	0.0507719
bout	0.0507235
basketball	0.0506715
"grand slam"	0.0506665
pennant	0.050476
"PGA Championship"	0.05047
Emmys	0.0500814
"match play"	0.0499796
Catch-@@	0.0499738
shutout	0.0496919
"World Cups"	0.0494363
matinee	0.049431
playing	0.0494277
marathon	0.0491788
"good story"	0.0490683
"good guy"	0.0489879
"sugar bowl"	0.0489618
"Pro Bowls"	0.0489069
NFL	0.0487574
"bad luck"	0.0486816
"Boston Marathon"	0.0484564
at-bat	0.0481902
letdown	0.0480828
"perfect game"	0.0480141
workout	0.0478816
"Olympic Games"	0.0478395
"College World Series"	0.0476555
hockey	0.0475481
"AFC Championship Game"	0.0473639
Serie	0.0472276
"Stanley Cups"	0.0472255
tiebreaker	0.0471515
"day game"	0.046936
deer	0.0466783
matches	0.0465702
firsts	0.0464798
"Pepsi @@@"	0.0464028
friendlies	0.0463101
"day of rest"	0.0462624
"Asian Games"	0.0460424
TDs	0.045791
NHL	0.0457069
nit	0.045678
"major league season"	0.0455952
tryout	0.0455598
clincher	0.0454296
season-opener	0.0454122
"measuring stick"	0.0453252
"British Open"	0.0452796
"show business"	0.0452148
"Pacific Classic"	0.0452095
homecoming	0.0451481
circus	0.0450201
golf	0.0448898
"National League"	0.0447631
Ballpark	0.0447315
"hard time"	0.0445547
"NL Central"	0.044487
"Division Series"	0.0444137
"Gold Gloves"	0.0442494
"Tour Championship"	0.0441613
"American League"	0.0441582
"primary election"	0.0441313
"cold weather"	0.0440928
"dramatic event"	0.0440482
intangible	0.0438283
"good person"	0.0438124
"Belmont Stakes"	0.0437938
"real world"	0.0437885
"Asian Cup"	0.0437601
qualifier	0.0437575
quarterfinal	0.0437305
playmakers	0.0436736
"test match"	0.0435921
"Stanley Cup"	0.0435307
"Brickyard @@@"	0.0434722
"home run"	0.0434408
prologue	0.0434022
Vega	0.0432457
spacewalk	0.0431995
"bad guy"	0.0430197
Emmy	0.0428483
caucus	0.0428272
Heisman	0.0427354
soccer	0.04271
"good deal"	0.0426853
"practice session"	0.0426779
eighth	0.0425416
"round robin"	0.0422112
"Emmy Awards"	0.0422009
"Indy @@@"	0.0421491
"service break"	0.0420693
shootout	0.0420373
"Gold Cup"	0.0419245
NFC	0.0418676
"U.S. Opens"	0.0418493
"European Cup"	0.041833
slalom	0.041677
"good shape"	0.0415547
"Daytona @@@"	0.0415474
"second half"	0.0414885
interleague	0.0414742
match-up	0.0413489
kickoff	0.04134
"Academy Awards"	0.0412274
festivity	0.0412155
overtime	0.0411085
reunion	0.0410725
up-and-down	0.0410589
"breathing room"	0.0410384
touchdown	0.0410318
All-Americans	0.0410258
scenario	0.0409775
doubles	0.0409769
"Cy Young Award"	0.0409374
"long time"	0.0408992
))
("big league" (desc 15905.7) (sims
"major league"	0.282651
"minor league"	0.193751
majors	0.155605
"National League"	0.147239
"little league"	0.133789
postseason	0.128741
NHL	0.123657
"American League"	0.122778
"professional baseball"	0.113201
"major league season"	0.113099
NFL	0.109261
"World Series"	0.105501
"big time"	0.103971
NL	0.102567
"College World Series"	0.0975177
NBA	0.0932553
"spring training"	0.0919911
post-season	0.091794
"All-Star Game"	0.0900097
playoff	0.0895259
"first seven"	0.0879223
"Winston Cup"	0.0877586
"NCAA Tournament"	0.0873317
"Class AAA"	0.0871838
A.L.	0.0861502
"first nine"	0.085696
"National Football League"	0.0851101
league	0.0836249
"first eight"	0.08297
rehab	0.0807255
CWS	0.0797404
"Little League World Series"	0.0797162
"first six"	0.0785424
"professional football"	0.0782241
"National Hockey League"	0.0781586
"first three"	0.0775879
"Opening Day"	0.0773457
baseball	0.0772401
All-Star	0.0771368
"first four"	0.0768787
WNBA	0.0761686
al	0.0758078
at-bat	0.0752042
"NFL Europe"	0.0746179
"Super Bowl"	0.074175
CBA	0.0736524
"professional basketball"	0.0734822
NLCS	0.0732576
"big game"	0.0732327
"playoff game"	0.072966
"Pro Bowl"	0.0727619
"first @@"	0.0725205
"Negro Leagues"	0.0725096
"first five"	0.0725008
"Cactus League"	0.0723305
"NBA Finals"	0.0722094
"Premier League"	0.0707578
"Sweet @@"	0.0706029
interleague	0.0705444
"next six"	0.0703138
dodger	0.0700593
"Ryder Cups"	0.068926
"Red Sox"	0.0688218
"show business"	0.0686106
top-@@	0.0684623
"Canadian Football League"	0.0682472
diamondback	0.0682216
"Hall of Fame"	0.0681905
Echelon	0.0680033
ml	0.0679723
"Pro Bowls"	0.0678539
innings.	0.0677079
coaching	0.067599
Sox	0.0673157
games.	0.0667593
"Top @@"	0.066475
"National Basketball Association"	0.0663818
AHL	0.0658866
"Continental Basketball Association"	0.0655453
Yankee	0.0654881
A's	0.0651292
"first two"	0.0650617
"Division I-AA"	0.0650051
"Italian League"	0.0647236
"Arena Football League"	0.0646802
College	0.064238
"extra inning"	0.0642032
NCAAs	0.0640395
rotation	0.0637411
up-and-down	0.063683
Bundesliga	0.0635354
"All-Star Games"	0.0633294
brave	0.0631404
varsity	0.0630956
inning	0.0630135
mariner	0.0625435
"Rose Bowl"	0.0624432
L.A	0.0624354
Serie	0.0621612
"Stanley Cup Finals"	0.0621433
"junior college"	0.061935
inning.	0.0617694
Fenway	0.0616345
outfield	0.0615631
Oriole	0.0612538
"winner's circle"	0.0610666
minor	0.0608409
Astrodome	0.0608015
Padre	0.0606486
"PGA Tour"	0.0606161
Masters	0.060099
"Fenway Park"	0.0598381
football	0.0595512
seasons.	0.0594528
"Stanley Cup"	0.0594071
"high school"	0.0591455
Ballpark	0.0589831
ranger	0.0589502
AFL	0.0588658
ALCS	0.0587383
"White Sox"	0.0585876
"U.S. Open"	0.0584678
"Gold Glove"	0.0582885
"Yankee Stadium"	0.0582002
prime	0.0581337
"Ryder Cup"	0.0578722
"Super Bowls"	0.0578282
starts.	0.0575801
eight	0.0574814
"Division @"	0.0573056
"Fiesta Bowl"	0.0572871
"road game"	0.057064
cub	0.0570122
IHL	0.0564884
"next three"	0.0561734
"professional golf"	0.0561622
marlin	0.0559764
Indy	0.055879
"next @@"	0.0558191
"International League"	0.0553255
"Phenix City"	0.0553071
"British Open"	0.054624
"Dodger Stadium"	0.0545932
Cleveland	0.0544608
stardom	0.0542646
ACC	0.0541172
IRL	0.0540602
"Davis Cup"	0.0539449
game.	0.0538254
"grand slam"	0.0533621
"World Cups"	0.053329
"Arena League"	0.053171
Oakland	0.0531558
"World Cup"	0.0531273
lineup	0.0530587
stratosphere	0.0530325
angel	0.0530178
Baltimore	0.0529757
"Solheim Cup"	0.0526478
"Division Series"	0.0525533
"next one"	0.0525341
Orioles	0.0525245
Royals	0.0525088
"Senior PGA Tour"	0.0524061
WHA	0.0522804
Seattle	0.0522531
ASTROS	0.0521637
Cincinnati	0.0520557
"St. Louis"	0.0519288
deadend	0.051862
Montreal	0.0518377
"major-league team"	0.051792
pirate	0.051721
Pac-@@	0.051634
preseason	0.0516073
Olympics	0.0515843
cardinal	0.0514099
seventh	0.0512691
bullpen	0.0512365
basketball	0.0511848
arena	0.0510892
Derby	0.0510081
"first tour"	0.0509904
"Big East"	0.0509821
"Green Bay"	0.0509686
Premiership	0.0508522
"Game @"	0.0508235
Milwaukee	0.0507701
"prime time"	0.0507457
Giants	0.0507164
ANAHEIM	0.0507011
"European Tour"	0.0505367
hockey	0.050523
outing	0.050458
"PGA Championship"	0.0503268
shutout	0.050231
LPGA	0.0501056
postseasons	0.0500372
Kingdome	0.049955
semi	0.0497776
))
("big leaguer" (desc 978.432) (sims
"major leaguer"	0.138179
major-leaguers	0.134059
"black person"	0.124108
"white person"	0.123739
"altar boy"	0.119385
"little leaguer"	0.112331
"hockey coach"	0.107617
"draft dodger"	0.107408
"good person"	0.107221
first-rounder	0.105672
"fall guy"	0.104612
ballplayer	0.10162
miler	0.0996603
handicapper	0.0988854
"risk taker"	0.0970307
"baseball player"	0.0967693
knucklehead	0.0966593
"first pitcher"	0.0941664
"professional golfer"	0.0933606
stuntman	0.0932959
whiner	0.0918723
Kurd	0.0917413
techie	0.0916901
"role player"	0.0914108
classicist	0.0912047
"important person"	0.0908993
"major-league team"	0.0908946
double-teamed	0.0901351
heretic	0.0887771
"NBA All-Star"	0.088124
"guardian angel"	0.0868717
interloper	0.0868213
"hard worker"	0.0865643
bodybuilder	0.0862469
"hockey player"	0.0852642
"big shot"	0.0844159
Knick	0.0843628
Laker	0.0841178
"top dog"	0.0835152
Scrooge	0.0831098
prizefighter	0.0821808
hurler	0.0820705
bloomer	0.0817788
goofball	0.0816198
goal-scorer	0.0814781
screamer	0.081401
"volleyball player"	0.0812328
typist	0.0810968
Hick	0.0806143
whore	0.0805978
Superman	0.0802343
stinker	0.0799856
"rich man"	0.079871
grown-up	0.0794863
infantryman	0.0794171
picky	0.0792822
Astro	0.0791513
battler	0.0785553
slob	0.0785286
has-been	0.078518
hermit	0.0780841
punchline	0.0774662
choirboy	0.0772917
bitch	0.077167
"black sheep"	0.0771477
"merchant marine"	0.0763917
team.	0.0759703
valedictorian	0.0757686
"world traveler"	0.0754912
automaton	0.075407
vaulter	0.0747966
weatherman	0.0746236
"TV star"	0.0740752
sportswriter	0.0740408
"sports fan"	0.0737941
segregationist	0.0737345
ballerina	0.0736118
learner	0.0735192
"white knight"	0.0733667
"test pilot"	0.0731811
bullfighter	0.0730507
Bostonian	0.0727849
"Pro Bowler"	0.072294
gung-ho	0.0722788
capo	0.0722391
capitalist	0.0721815
"base runner"	0.0721807
recluse	0.0721088
idiot	0.0721072
census-takers	0.0720372
playmakers	0.0717677
superhero	0.0717618
wonk	0.0714421
preachy	0.0712986
Atlantan	0.0708334
"stock company"	0.0707248
perfectionist	0.0706851
nonentity	0.0706771
moron	0.0700006
"pain in the neck"	0.0699315
hyper	0.0697518
wimp	0.0697202
"young person"	0.069716
"pitching coach"	0.0696362
"paying attention"	0.0691624
"talent scout"	0.0691394
lifeguard	0.0689146
"football coach"	0.0686417
shoo-in	0.0685506
lifer	0.0685067
doer	0.0684669
antsy	0.0682884
"ballet dancer"	0.068163
procrastinator	0.0680958
womanizer	0.0680943
"prima donna"	0.0677039
Beatle	0.0675563
"center of attention"	0.0675045
"commercial enterprise"	0.0674727
bloke	0.0674599
pushover	0.0673003
voyeur	0.0672795
CPA	0.0671787
newspaperman	0.067145
"track star"	0.0670775
goaltenders	0.0670694
"drama critic"	0.0668168
patsy	0.066508
"sitting duck"	0.0664739
"jazz musician"	0.0664048
swinger	0.0661585
"dead person"	0.0659689
dilettante	0.065919
"opera star"	0.0658189
copout	0.0655382
slugger	0.065422
"Black Panther"	0.0652365
junkie	0.0650094
sleeper	0.0649985
co-president	0.0649886
snob	0.0646146
impostor	0.0645889
nigger	0.0645059
baserunner	0.0645048
"punching bag"	0.0644322
switch-hitter	0.0644316
commoner	0.0643972
"fashion designer"	0.0643945
"bad guy"	0.0643137
foal	0.0642877
"Darth Vader"	0.0642442
AWOL	0.0642281
autocrat	0.064166
"matinee idol"	0.064162
crook	0.0641072
"eagle scout"	0.0640831
philistine	0.0639761
hippie	0.0638805
curmudgeon	0.0638551
"department employee"	0.0638313
mortal	0.063692
bridesmaid	0.0633795
outta	0.0633057
Grinch	0.0632587
"battering ram"	0.0632047
pimp	0.0631629
"throwing away"	0.0630651
"Kirk Gibson"	0.0629727
"Rhodes Scholar"	0.0627483
contrarian	0.0625302
realist	0.0623643
joker	0.0621777
"pen pal"	0.0621147
bum	0.0618224
celebs	0.0617308
fiend	0.0617052
sadist	0.061636
D.J	0.061436
Olympian	0.0613395
typecast	0.0612735
crapshoot	0.0610988
do-gooder	0.0610674
agnostic	0.0610604
underachiever	0.0609717
pro-choice	0.0608353
stewardess	0.0607293
old-timer	0.0605282
"wise guy"	0.0604989
geezer	0.0604389
puncher	0.0600951
wordsmith	0.0600586
submariner	0.0599901
dermatologist	0.059967
optimist	0.0599596
headhunter	0.0599094
"character actor"	0.0596882
woodworker	0.0596806
"dark horse"	0.0595992
G@@	0.059481
farmhand	0.0594774
))
("Big Mac" (desc 3867.75) (sims
whopper	0.0824868
Tatis	0.0798478
cheeseburger	0.079087
Rolen	0.0746454
Lankford	0.0727692
McGwire	0.0709621
burger	0.0709438
Nevin	0.0690495
"french fries"	0.0682721
Higginson	0.0679621
Abreu	0.0671326
"chicken sandwich"	0.0665862
Burnitz	0.0650952
matzoh	0.0636525
dino	0.0634385
Fryman	0.0630299
Sammy	0.0617181
"Marvin Benard"	0.0616671
Hamburger	0.0614726
"Geoff Jenkins"	0.0606745
burgers	0.0602606
"Kirk Gibson"	0.0601838
McGriff	0.0600819
Castilla	0.0600806
Burrito	0.0582954
"hot dog"	0.0577065
"Van Raaphorst"	0.0557716
"Todd Walker"	0.0556888
"Eric Owens"	0.0555965
Bagwell	0.0552239
Giambi	0.0547806
"Deivi Cruz"	0.054584
Vidro	0.0543664
Fullmer	0.0542519
Detmer	0.054118
Konerko	0.0540747
Cordero	0.054053
"Bill Mueller"	0.0537816
Batista	0.0536084
"John Vander Wal"	0.0535239
hotdog	0.0529509
"green salad"	0.0528174
"Jose Cruz Jr."	0.0523146
"Magglio Ordonez"	0.0517568
Delgado	0.0513579
popsicle	0.050933
Weatherspoon	0.0507853
Aurilia	0.0505797
Baines	0.0504995
Sexson	0.0498008
"Willie Greene"	0.0497503
"Mark Loretta"	0.0494451
Alou	0.04924
"candy bar"	0.0492099
"Craig Paquette"	0.0490347
Leyritz	0.0488324
"Gary Gaetti"	0.0487881
Thome	0.0485753
"Ron Coomer"	0.0484792
"Tony Batista"	0.0481404
McRae	0.0480784
"TV dinner"	0.0479858
Gant	0.0474047
"Derrek Lee"	0.0472913
Alfonzo	0.0472518
Elster	0.0468782
Brosius	0.0467542
Mabry	0.0466297
"Jeffrey Hammonds"	0.046431
"Chris Widger"	0.0462606
"Enrique Wilson"	0.0462117
"Sean Berry"	0.0461565
Hidalgo	0.0460578
Maris	0.04586
"Brady Anderson"	0.0458063
Caminiti	0.0456677
"Jose Vidro"	0.0456591
Glanville	0.0455536
"Preston Wilson"	0.0455391
Klesko	0.0454626
Trammell	0.0453894
"loaf of bread"	0.0450968
"Chipper Jones"	0.0450599
Agbayani	0.0450277
taco	0.0447882
Lieberthal	0.0447804
"Brad Fullmer"	0.0447559
"Barry Bonds"	0.0447357
"Brad Ausmus"	0.0446608
"Tino Martinez"	0.044614
"Todd Pratt"	0.0445312
Dunston	0.0444454
Olerud	0.0443088
tomboy	0.0442362
Daubach	0.0442316
"Jim Harrick"	0.0441793
"Chris Gomez"	0.0441768
"Kevin Young"	0.0441407
"Russ Johnson"	0.044041
Counsell	0.0439327
Mondesi	0.0439322
Surhoff	0.0437901
"Harold Baines"	0.0436082
Butyrskaya	0.0435715
Cedeno	0.0434634
gasket	0.0433918
"Marty Cordova"	0.0433788
"Gregg Zaun"	0.043373
"Dean Palmer"	0.0432299
"Jason Kendall"	0.0432162
"Corey Koskie"	0.0432123
"Jose Valentin"	0.0430798
"Dave Martinez"	0.042959
Canseco	0.0428183
pretzel	0.0428098
"Ray Lankford"	0.0427174
"J.D Drew"	0.0427122
Hatteberg	0.0426764
"Scott Hatteberg"	0.0425822
"Charlie Hayes"	0.0425223
"LPGA Championship"	0.0425013
Munson	0.0424968
"Jeff King"	0.0424908
"Benny Agbayani"	0.0424563
bagel	0.0424557
DiSarcina	0.0422798
"Jose Canseco"	0.0422163
"Mark Grace"	0.0422057
"Henry Rodriguez"	0.0420939
Ledee	0.0420886
"Matt Lawton"	0.04201
"Troy Glaus"	0.041991
Andreychuk	0.0419666
"Sammy Sosa"	0.0419248
Boggs	0.0418621
Renteria	0.0418395
Tamale	0.0417453
"Jim Edmonds"	0.0416809
popcorn	0.0415864
"Matt Franco"	0.0415751
A-Rod	0.04156
Outzen	0.0412785
Boone	0.04126
Curtis	0.0412034
"Tony Fernandez"	0.0411998
"Juan Encarnacion"	0.0411498
Palmeiro	0.0410695
"Jay Buhner"	0.041052
Valentin	0.0410197
"Bobby Abreu"	0.0409651
"Lance Johnson"	0.0408075
Etcheverry	0.040765
"Jose Guillen"	0.0407639
"Todd Helton"	0.0407501
sit-down	0.0407487
"Phil Nevin"	0.0405784
Meggett	0.0404424
Jeter	0.0404197
"Johnny Damon"	0.0403614
"Edgardo Alfonzo"	0.0403536
Alicea	0.040335
Momma	0.0403041
"Luis Polonia"	0.0403034
hyphen	0.0402691
Lofton	0.040242
"Tony Clark"	0.0401648
"Dave Hollins"	0.0401515
Biggio	0.0400615
"Jeff Conine"	0.0400517
Vick	0.040003
))
("Big Oil" (desc 1138.96) (sims
mutuel	0.0668048
"W.R. Grace"	0.0647503
"standing room"	0.0626201
roundtrip	0.061708
parimutuel	0.0501326
Meta	0.0494453
"Royal Bank"	0.0448687
Stevie	0.0445892
Harrods	0.0445443
meatpackers	0.0431619
sagebrush	0.0430328
"Progressive Party"	0.0423272
"judicial branch"	0.0414911
"closed-end fund"	0.040624
"two pitchers"	0.0404526
Protas	0.0404102
Washingtonian	0.0403804
))
("big picture" (desc 7142.67) (sims
"bottom line"	0.0966683
nuts-and-bolts	0.0921807
nitty-gritty	0.0744286
contrarian	0.0671385
Behind-the-scenes	0.0615494
defining	0.0607459
"good part"	0.0598704
"foreign policy"	0.0571766
"One key"	0.0564832
Oedipal	0.0561002
totality	0.0558268
essence	0.0551729
crux	0.0538383
mindset	0.0531888
irony	0.0523055
longterm	0.0522792
ramification	0.0519442
thumbnail	0.0519303
meaning	0.0516609
downbeat	0.0515243
"golden rule"	0.0504459
"real world"	0.0502722
"break of serve"	0.0501474
Catch-@@	0.0492733
"two key"	0.0490792
"bright side"	0.0489456
motivation	0.048922
gist	0.0486961
branding	0.048118
Chemistry	0.0476894
axiom	0.0474841
snapshot	0.0471962
"cutting edge"	0.046955
nuance	0.0468237
"modus operandi"	0.0463541
destiny	0.0460318
intangible	0.0459603
hands-on	0.0459014
"rule of thumb"	0.0458188
no-brainer	0.0457895
paradox	0.0457113
"jigsaw puzzle"	0.045245
logic	0.045026
Hokey	0.0450206
revisionist	0.0449748
things	0.044681
scenery	0.0444419
Zen	0.0443491
mind-set	0.0443078
"quality of life"	0.0442275
dynamics	0.0441692
"great deal"	0.0441638
variable	0.0441151
hockey	0.0439335
"common sense"	0.0438642
"civic duty"	0.0437861
subtlety	0.0437254
dimension	0.0436834
"deja vu"	0.0435207
multitasking	0.0433887
"American Dream"	0.043247
"exact opposite"	0.0431902
"First Amendment"	0.0431319
calculus	0.0430742
"silver lining"	0.0430209
similiar	0.0429975
copout	0.0425388
minutiae	0.0423875
vicissitude	0.0423254
"ivory tower"	0.0422826
"good story"	0.0422464
in-depth	0.0421774
permanence	0.0420774
cakewalk	0.0420577
dilemma	0.0419967
"split second"	0.0419682
stat	0.0418545
demographics	0.041839
"game plan"	0.0416598
makeup	0.0415411
proactive	0.0415078
unreality	0.0413994
"moral hazard"	0.0413845
rightness	0.0413285
geometry	0.0413001
pity	0.041092
"subject matter"	0.0409897
"first person"	0.0408804
stats	0.0408487
reasoning	0.0406895
PR	0.0406256
strangeness	0.0405999
bundling	0.0405791
misperception	0.040567
BCS	0.040452
coaching	0.0402436
affordability	0.040142
resolving	0.0401151
"high-water mark"	0.0401027
"great year"	0.0401
"good guy"	0.0400223
glam	0.0400212
blob	0.0400002
))
("Big Red Machine" (desc 2343.25) (sims
"Cincinnati Reds"	0.0846962
"dust bowl"	0.078764
Springbok	0.0687657
"Los Angeles Dodgers"	0.0660156
"Fighting Irish"	0.0658126
"Horned Frogs"	0.0653659
"New York Yankee"	0.0640346
"Boston Red Sox"	0.0630215
"Toronto Blue Jays"	0.0621283
A.L.	0.061189
"Brooklyn Dodgers"	0.0595599
"Atlanta Braves"	0.0594598
"Barry Larkin"	0.0592617
"Oakland Athletics"	0.0591498
"Boston Celtics"	0.0590389
"San Diego Padres"	0.0588999
"New York Mets"	0.0573532
"Houston Astros"	0.0567173
Cofidis	0.056173
gopher	0.056165
"Kansas City Royals"	0.0558816
"Miami Fusion"	0.0557585
"Arena Football League"	0.0555126
A's	0.0553589
oiler	0.0535902
"Akili Smith"	0.0528196
"Museum of Contemporary Art"	0.0525903
"Houston Comets"	0.0522278
"San Francisco Giants"	0.0521811
"Solheim Cup"	0.0519462
Ganassi	0.0519324
"Chicago Bulls"	0.0507301
"bull market"	0.0506608
sixer	0.0506489
"Ebbets Field"	0.0506193
Gan	0.0501468
Roush	0.0496066
"Canadian Alliance"	0.0495814
"White Sox"	0.0494744
"Opening Day"	0.0493384
counterculture	0.0488143
"blue jay"	0.0486459
"Islamic Movement"	0.0482008
Canadiens	0.0481039
TVM	0.0480914
"Chicago White Sox"	0.0477839
AFL	0.047745
"New Aspiration Party"	0.0477204
"other eight"	0.0476505
"repertory company"	0.0474211
"Cleveland Indians"	0.0472024
"Arizona Diamondbacks"	0.0469831
"St. Louis Cardinals"	0.0468266
"U.S. Olympic"	0.0467131
"Phenix City"	0.0467028
"Utah Jazz"	0.0466644
"Trail Blazers"	0.0465119
lacrosse	0.0464874
"Baltimore Colts"	0.0459318
"second unit"	0.0458382
"Buffalo Bills"	0.0458219
"Chicago Fire"	0.0457298
"CHARLOTTE STING"	0.0456048
Lobos	0.0456023
"two lines"	0.0455012
Bosman	0.0454688
Utes	0.0454329
perestroika	0.0453306
"U.S. Postal Service"	0.045051
"first decade"	0.045044
"Dream Team"	0.0445549
NAU	0.0444756
Wolverine	0.0442269
"Phoenix Suns"	0.044105
frontcourt	0.0438771
Illini	0.0436086
zeitgeist	0.0435896
piston	0.0434341
"Roush Racing"	0.0433517
"Favorite Trick"	0.043127
hyperinflation	0.0430945
"Jim Crow"	0.0430683
"Roman Empire"	0.04306
"United National Independence Party"	0.0430277
"Milwaukee Brewers"	0.0428901
Razorback	0.0426132
"American Football League"	0.0425346
"LPGA Tour"	0.0422199
argot	0.0420808
"first pitcher"	0.0418562
"Southern Methodist"	0.041686
"Chicago Blackhawks"	0.0414783
"NFC West"	0.0414054
"D.C. United"	0.0409182
Festina	0.0407896
"Supreme Judicial Court"	0.040765
"Colorado Rockies"	0.0406894
Oriole	0.0406636
"professional basketball"	0.0405501
varsity	0.0405198
"Green Bay Packers"	0.0404839
Forsythe	0.0404727
polity	0.0404643
"Anaheim Angels"	0.0404308
Wolfpack	0.0403906
"silent movie"	0.0402958
warmest	0.0402865
"Great Depression"	0.0402417
"Royal Shakespeare Company"	0.0402094
epee	0.0401421
Cavs	0.0400588
))
("big shot" (desc 6760.24) (sims
"big leaguer"	0.0844159
bigwig	0.0792106
"four @-pointers"	0.0777744
idiot	0.0660024
stinker	0.0629251
celebs	0.0622759
luminary	0.0607252
impostor	0.0594723
knucklehead	0.0594343
"free throw"	0.0593673
"jump shot"	0.0589298
layups	0.058885
Trailblazer	0.0578332
"two @-pointers"	0.0577512
playmakers	0.0568809
"five @-pointers"	0.0568484
"three @-pointers"	0.0566984
"good story"	0.0566353
do-gooder	0.0566266
ballgames	0.0564787
"passing shot"	0.0562081
"risk taker"	0.0558994
"heavy hitter"	0.0558167
highflier	0.055642
oomph	0.0552208
"foul shot"	0.0545609
"speeding ticket"	0.0542261
"hundred miles"	0.0540046
"breathing room"	0.0538818
census-takers	0.0534611
moron	0.0530071
faceoffs	0.0528633
"No. @s"	0.0528585
has-been	0.0523976
goalpost	0.0518567
"prima donna"	0.0517659
gadfly	0.0516398
handicapper	0.0515676
"elbow room"	0.0514352
execs	0.0513724
screamer	0.05117
"big game"	0.0508627
"extra points"	0.0506605
honcho	0.0504513
"role player"	0.0503283
jerk	0.050104
"break of serve"	0.0500966
Advil	0.0497342
hotspots	0.0496552
pluses	0.0494616
"positive feedback"	0.0486115
serf	0.0485533
apparatchiks	0.0483552
weirdo	0.0483299
closers	0.0481934
"breaking ball"	0.048093
megamergers	0.0480227
"hockey player"	0.0479677
joker	0.0478309
"talent agent"	0.0478166
All-Americans	0.0477665
"old hand"	0.0477635
ballplayer	0.0475542
wideouts	0.0473957
jumper	0.0471796
nerve	0.0471512
firsts	0.0471474
three-pointer	0.0470617
"dark horse"	0.0469669
fella	0.0467514
curveballs	0.0467095
headliner	0.0467024
exec	0.0466881
"paying attention"	0.046653
rep	0.0465527
"boy wonder"	0.0465285
jock	0.0463178
"big time"	0.0463142
dribbler	0.0462724
geek	0.0462281
"knockout punch"	0.0461657
Trey	0.0461187
standouts	0.0460242
graybeard	0.0459654
bloke	0.0459209
picky	0.0458011
"first basket"	0.0457822
timeouts	0.0457669
fundraisers	0.0456162
grown-up	0.0455794
"Lowell Weicker"	0.0453682
expletive	0.0453555
"close call"	0.0453542
insider	0.0453404
"day of rest"	0.0452656
old-timer	0.0452606
lunatic	0.0452222
"good guy"	0.0452098
putt	0.0451602
diehard	0.0451516
crazies	0.0450459
"tough guy"	0.0450307
headhunter	0.0449978
"ball club"	0.0448155
congressmen	0.0447621
shindig	0.0447286
three-pointers	0.0446705
"loose end"	0.0446334
weatherman	0.0445065
"good person"	0.0444451
wimp	0.0443721
flak	0.0442881
stuntman	0.0442636
junkie	0.0441664
up-and-down	0.0441642
savvy	0.0441305
"foul ball"	0.0441158
smooch	0.0439748
"department employee"	0.0439001
dealmaker	0.0438553
"job offer"	0.043758
"TV star"	0.0437371
"little leaguer"	0.0437202
dignitary	0.0437062
miscreant	0.0436927
hotshot	0.0436769
wonk	0.0436686
millionaire	0.0436681
"power broker"	0.0435681
Klansmen	0.043561
stalwart	0.0435229
composure	0.0434391
puck	0.0434335
"people of color"	0.0433798
Grinch	0.0433082
MP	0.0432658
licking	0.0432145
underachiever	0.0431452
troublemaker	0.0431022
variable	0.0430067
"extracurricular activity"	0.0428378
heavyweight	0.0428104
techie	0.0428079
"eight homers"	0.0427171
forehand	0.0425488
singer-songwriters	0.0424737
A-list	0.0424415
Novak	0.0422423
superstar	0.0421428
"top dog"	0.0421277
"business establishment"	0.0420488
"major leaguer"	0.0419484
Knick	0.0419085
misfit	0.0418008
"bad guy"	0.0417688
pallbearer	0.0417234
em	0.0415226
Christmases	0.0415145
crossover	0.0414584
realignments	0.0413649
centrist	0.0412871
redneck	0.0412108
"goose bumps"	0.0412079
mogul	0.0411896
"service break"	0.0411887
poodle	0.0411482
ribbing	0.0411446
VIP	0.0410921
upside	0.0410859
"leading man"	0.0410654
scriptwriter	0.0409659
"set point"	0.0409578
downfield	0.0409281
"breathing space"	0.0408332
"blue blood"	0.0406906
snob	0.0405897
pundit	0.0405787
hyper	0.0405477
"sports fan"	0.040489
"Wild Man"	0.0404469
Mulligan	0.0404155
intangible	0.0404121
billionaires	0.040383
functionary	0.0403522
midshipmen	0.0402992
shipmate	0.0402661
"movie star"	0.0401145
))
("big sister" (desc 1832.15) (sims
"guardian angel"	0.0931461
soulmate	0.0915164
grownup	0.0849463
"making love"	0.0724441
"fellow traveler"	0.0721682
"good person"	0.0707872
"line of work"	0.0604809
"important person"	0.0582122
tomboy	0.0575175
"foster mother"	0.0574485
"Big Brother"	0.0568417
hyper	0.0566224
grandpa	0.0564987
babysitter	0.0561964
"little brother"	0.0558393
"guitar player"	0.0558391
ingenue	0.0555017
boob	0.0549444
feistiness	0.0545476
privy	0.0543366
"hard worker"	0.053875
"little finger"	0.0537878
plunger	0.0531363
mommy	0.0530943
"mind's eye"	0.0527608
mum	0.0522761
snob	0.0518999
pushcart	0.051729
Daddy	0.0508345
slut	0.0503794
whore	0.0502613
"prima donna"	0.0498369
"David Copperfield"	0.0495843
ebullience	0.0489368
"pain in the neck"	0.0488151
agnostic	0.0486482
pro-choice	0.0485514
co-anchor	0.048365
"math teacher"	0.048319
pushover	0.0482953
foreword	0.0482299
"little sister"	0.0481674
junkie	0.0477443
antsy	0.0476964
housemates	0.047687
"fishing rod"	0.0476848
Webdale	0.0476749
grown-up	0.0471908
disservice	0.0470576
transsexual	0.0470524
choirboy	0.0469299
grandma	0.0464762
supermodel	0.046226
"big leaguer"	0.0461459
talkie	0.0458748
"white person"	0.0457849
punchline	0.045708
"soul mate"	0.0456451
"key rate"	0.0454332
joiner	0.0454218
Rook	0.0454144
first-rounder	0.0452639
dimple	0.0450134
handicapper	0.0449083
bridesmaid	0.0447764
proactive	0.0445277
vegan	0.0444613
"draft board"	0.0442621
smoother	0.0441221
catnip	0.0439652
blinder	0.0439247
"observation post"	0.0438924
procrastinator	0.0437123
worrier	0.0436635
schoolwork	0.0436216
horoscope	0.0435105
clicker	0.0434719
"Chevrolet Monte Carlo"	0.0432301
Atlantan	0.0431664
ringmaster	0.0431301
"King Abdullah Bin Hussein"	0.0431042
daughter-in-law	0.0430879
"split personality"	0.0430609
picky	0.0428285
bitch	0.0428003
stewardess	0.0427975
"half sister"	0.0425977
pro-life	0.0424914
"risk taker"	0.0424446
"engagement ring"	0.04244
godmother	0.0423046
doorbell	0.0420634
"draft dodger"	0.0420518
looker	0.0420025
"Darth Vader"	0.0419701
"young person"	0.0419635
techie	0.0418196
"fashion model"	0.0418052
"jumping up and down"	0.0418028
wacko	0.0417274
harder	0.0416525
Scrooge	0.0415435
pup	0.0414699
slob	0.0414348
stepmom	0.0412931
"civic duty"	0.0411014
Kurd	0.0409663
co-pilot	0.040786
Whitsitt	0.0407483
"pen pal"	0.0407353
SATs	0.040719
"Social Security number"	0.0406755
"Harry Potter"	0.0406502
goofball	0.0406456
"free time"	0.0406273
"Honda Civic"	0.040623
egomaniac	0.0406074
"sounding board"	0.0406045
lied	0.0405747
decorator	0.0404817
ass	0.0404566
grandchild	0.0404301
dermatologist	0.0403263
crewmates	0.040278
"Kendra Webdale"	0.0401454
maniac	0.0400191
))
("Big Sky" (desc 4969.48) (sims
"Big Sky Conference"	0.276699
ACC	0.245608
"Big @@"	0.244006
"Conference USA"	0.236369
"Big East"	0.226592
"Southeastern Conference"	0.221024
Pac-@@	0.213491
WAC	0.207675
"Western Athletic Conference"	0.205022
"Atlantic Coast Conference"	0.204623
Pacific-@@	0.197653
"Big West"	0.18301
"AFC West"	0.181981
"NFC West"	0.172203
"Division I-AA"	0.160227
"NFC East"	0.156379
NFC	0.152245
WCC	0.150387
"AFC East"	0.149658
"National League West"	0.14877
AFC	0.143624
"AFC Central"	0.142397
"Pacific Division"	0.140848
"Central Division"	0.13738
C-USA	0.133473
"AL Central"	0.132831
"NL West"	0.131517
"Eastern Division"	0.128203
"American League West"	0.126908
"Southwest Conference"	0.125691
"NL Central"	0.121188
"AL West"	0.12092
"Western Conference"	0.12031
"Copa America"	0.119891
"NFC Central"	0.119495
Bundesliga	0.118392
"SEC East"	0.116353
"Atlantic Division"	0.115907
"American League East"	0.115446
"U.S. Senior Open"	0.11536
"National League"	0.115063
CWS	0.114312
"Federation Cup"	0.112999
"National League Central"	0.112395
"Little League World Series"	0.112091
WNBA	0.111695
SEC	0.110625
"National League East"	0.109247
"World League"	0.107256
"NL East"	0.106406
"U.S. Amateur"	0.10608
"AL East"	0.104495
"Eastern Conference"	0.103066
"Fed Cup"	0.102729
"Libertadores Cup"	0.101588
"American League"	0.101409
"Division @"	0.100964
NL	0.100865
"Italian League"	0.0993284
"Ivy League"	0.0992997
ml	0.098647
"Group A."	0.0985257
"West Regional"	0.0962325
"National Hockey League"	0.0952315
"Japan Open"	0.0945328
"Hopman Cup"	0.0930852
"National Invitation Tournament"	0.091762
"Premier League"	0.0912422
"Dunhill Cup"	0.0911798
"MLS Cup"	0.0911102
"Funny Car"	0.0907782
PBA	0.0907171
"Hong Kong Open"	0.0905319
AFL	0.0900425
EuroLeague	0.0897093
"Northeast Division"	0.0893123
"Confederations Cup"	0.0883391
"South Regional"	0.0878965
"European Cup"	0.0874582
"Group B."	0.0872446
"League Cup"	0.0870807
"College World Series"	0.0867308
"Pan Ams"	0.0863228
"Uber Cup"	0.0859847
CBA	0.0859359
"National Basketball Association"	0.0854818
A.L.	0.0854499
decathlon	0.0848119
NCAA	0.0841959
"American Hockey League"	0.0839081
ATP	0.0837522
NHL	0.0823095
"Top Fuel"	0.0820542
CONCACAF	0.0817074
"Canadian Open"	0.0816852
CAA	0.08168
"US Open"	0.0810913
"Santa Anita Derby"	0.0807459
"Asian Cup"	0.0805118
"ATP Tour"	0.0790964
"Midwest Regional"	0.0779742
cruiserweight	0.0775035
flyweight	0.0774199
XFL	0.0768555
snooker	0.0768478
"match play"	0.076762
"World Championship"	0.0766786
"junior middleweight"	0.0762779
"National Collegiate Athletic Association"	0.0759302
AHL	0.0755944
NBA	0.0755892
"junior lightweight"	0.0752511
Super-G	0.075246
"Gold Cup"	0.0752332
"International League"	0.0751134
"Solheim Cup"	0.0749764
"American Football League"	0.0732139
"Stockholm Open"	0.0731931
Serie	0.0731154
nonconference	0.0730654
WTA	0.0728957
WBO	0.0725964
"first cup"	0.0725649
"National Football League"	0.0723545
"Sudirman Cup"	0.0721636
"European Champions Cup"	0.0716611
"NFL Europe"	0.0714887
"Maurier Open"	0.071393
"United States Open"	0.0711514
"Nations Cup"	0.0709832
"Continental Basketball Association"	0.0704005
"New York City Marathon"	0.0701111
ABL	0.0700426
tourney	0.0697694
"Australian Open"	0.0695403
"International Boxing Federation"	0.0694061
"Blue Grass"	0.0692385
"little league"	0.0688855
Lipton	0.0687545
hardcourt	0.0685789
LPGA	0.0683955
"Skate America"	0.0679211
PGA	0.0675189
"Home Run Derby"	0.067439
ABA	0.0672689
nit	0.0671437
"Arkansas Derby"	0.0670358
"Winston Cup"	0.0668759
"Pan Am Games"	0.066592
"light heavyweight"	0.0662177
"ice hockey"	0.0657635
"three-day event"	0.0657205
"Tar Heels"	0.065674
pentathlon	0.0656054
IRL	0.0651355
"water polo"	0.0650368
Ironman	0.0649807
"English Premier League"	0.0645358
"World Boxing Council"	0.0644124
"Louisiana Derby"	0.0643741
"Boston Marathon"	0.0640897
"Pan Pacific"	0.0637155
"Dubai World Cup"	0.0637095
"Acura Classic"	0.0636908
BCS	0.0634226
"Champions Cup"	0.0633037
WBA	0.0632972
"major league"	0.0632433
"Group @"	0.0631191
"World Junior Championships"	0.0628682
"Daytona @@@"	0.0626973
"Bausch &AMP; Lomb"	0.0623279
backstroke	0.062074
"African Cup"	0.0620434
IHL	0.0619449
"Kremlin Cup"	0.0619423
"Indy Racing League"	0.0618923
"African Nations Cup"	0.061763
featherweight	0.0617392
al	0.0617359
"FA Cup"	0.0616958
constructor	0.0616004
Masters	0.0615906
"London Marathon"	0.0615365
"ATP Championship"	0.0615346
"junior welterweight"	0.0614583
"UEFA Cup"	0.0614292
"Italian Open"	0.0611927
"European Champions League"	0.0611146
badminton	0.0610145
Maurier	0.0609067
"Tour Championship"	0.0609063
"Paris Open"	0.0608762
"NCAA Tournament"	0.0608064
"first nine"	0.0607351
"Western Open"	0.0604417
"Busch Grand National"	0.0603853
"regulation time"	0.0603756
"Indy @@@"	0.0603602
"World Group"	0.060047
))
("Big Sky Conference" (desc 1671.55) (sims
"Big Sky"	0.276699
Pacific-@@	0.258118
"AFC West"	0.233071
"Western Athletic Conference"	0.226431
WCC	0.22496
"National League West"	0.2153
"Little League World Series"	0.212635
"AFC Central"	0.208954
"NFC West"	0.198759
"Southwest Conference"	0.1985
"Atlantic Coast Conference"	0.19471
"Central Division"	0.192511
"Conference USA"	0.192003
"Southeastern Conference"	0.19136
"Division I-AA"	0.190207
"Big West"	0.189496
"NFC East"	0.188149
"National League Central"	0.185167
"National League East"	0.184146
"Pacific Division"	0.182537
"Big East"	0.181606
ACC	0.181073
CWS	0.179091
"Eastern Division"	0.176768
"Atlantic Division"	0.174015
"AL Central"	0.173981
"American League West"	0.170595
"South Regional"	0.169495
"NL Central"	0.169079
WAC	0.168276
"Western Conference"	0.167954
"Big @@"	0.167545
"NFC Central"	0.164258
"American League East"	0.161304
"Federation Cup"	0.16007
C-USA	0.158488
"NL West"	0.157135
"AL East"	0.156228
"Hopman Cup"	0.155693
"Midwest Regional"	0.154073
Pac-@@	0.153908
"World League"	0.153448
"SEC East"	0.153291
"Uber Cup"	0.151321
"AFC East"	0.148962
"U.S. Senior Open"	0.147927
"NL East"	0.147782
"Copa America"	0.1474
"AL West"	0.146302
"Hong Kong Open"	0.143532
NFC	0.142212
"Italian League"	0.141188
"World Championship"	0.13979
"West Regional"	0.139746
"MLS Cup"	0.139482
"Japan Open"	0.138877
"Northeast Division"	0.137828
EuroLeague	0.137553
"Pan Ams"	0.135474
AFL	0.133926
"Division @"	0.133913
"Premier League"	0.133307
Bundesliga	0.133263
"United States Open"	0.131181
"Funny Car"	0.130765
"Confederations Cup"	0.130635
AFC	0.130134
"Fed Cup"	0.126353
"Eastern Conference"	0.125674
"Ivy League"	0.124877
Lipton	0.124584
"Canadian Open"	0.124074
"National Invitation Tournament"	0.123506
"National Collegiate Athletic Association"	0.121061
"College World Series"	0.120782
"Dunhill Cup"	0.119258
"International League"	0.118996
ATP	0.118767
snooker	0.118663
"Maurier Open"	0.116093
CAA	0.115562
"Pan Pacific"	0.114822
"U.S. Amateur"	0.11433
nit	0.114246
"first cup"	0.1133
"League Cup"	0.111682
"European Cup"	0.109855
"African Cup"	0.109026
CONCACAF	0.108689
A.L.	0.108609
"Acura Classic"	0.108215
"Swiss Open"	0.107256
cruiserweight	0.106822
"European Champions Cup"	0.105964
ml	0.105911
"Cactus League"	0.104427
"Thomas Cup"	0.103985
"German Open"	0.103962
PBA	0.102816
"Solheim Cup"	0.102078
"ATP Championship"	0.101537
"Sudirman Cup"	0.101319
"Italian Open"	0.100875
"Asian Cup"	0.100447
"Hamlet Cup"	0.0993064
"Busch Grand National"	0.0990346
BCS	0.0989228
"Pan Am Games"	0.0984796
pentathlon	0.098197
"American Football League"	0.0980579
"Top Fuel"	0.0978191
"European Champions League"	0.0975566
"Group A."	0.0974625
"Italian Cup"	0.0973961
WTA	0.0969715
Maurier	0.0965215
SEC	0.0962755
"ice hockey"	0.0961466
"American Hockey League"	0.0956742
"Western Open"	0.0952564
"Libertadores Cup"	0.095205
"National Hockey League"	0.0951471
"Nations Cup"	0.0947645
nightcap	0.0941366
"African Nations Cup"	0.0941057
WNBA	0.092315
"first nine"	0.0918456
"Paris Open"	0.091644
"Continental Basketball Association"	0.0911135
"Indy Racing League"	0.0911117
"Group @"	0.0905671
"Kremlin Cup"	0.0905221
"Grand Slam Cup"	0.0904036
"water polo"	0.0901441
GP	0.0898274
"Blue Grass"	0.0895749
"FA Cup"	0.089472
"NASCAR Winston Cup"	0.0892071
"American League"	0.0874952
"ATP Tour"	0.0873597
"Champions Cup"	0.087051
"Cup Winners Cup"	0.0870126
"East Regional"	0.0866845
"Busch Series"	0.0865313
"Dinah Shore"	0.085784
"National Basketball Association"	0.085721
"Boston Marathon"	0.0856648
decathlon	0.0856093
"International Hockey League"	0.0854321
"match play"	0.0849743
"F.A Cup"	0.0849402
NL	0.0849369
"Class AAA"	0.0847278
IHL	0.0842424
"London Marathon"	0.0842338
"won nine"	0.0841571
"Pan American Games"	0.0840337
"World Group"	0.0839635
"National Football League"	0.0839366
"won seven"	0.083835
"National League"	0.0829861
luge	0.0829326
"hammer throw"	0.0827045
"Nissan Open"	0.0826787
"Skate America"	0.082508
WBO	0.0823217
NHRA	0.0822338
"NCAA Tournament"	0.0819549
"Stockholm Open"	0.0818591
"Goodwill Games"	0.0818552
NCAA	0.0816784
"junior welterweight"	0.081613
"field hockey"	0.0814712
"Davis Cup World Group"	0.0813487
"junior lightweight"	0.0812992
tourney	0.081033
"Group B."	0.0808708
distaff	0.0805509
"Gold Cup"	0.0799331
"Louis Vuitton Cup"	0.0797401
"US Open"	0.0796344
"WTA Tour"	0.0790907
AHL	0.0789117
"English Premier League"	0.0786088
"Euro @@@@"	0.0784719
"European Championship"	0.0784332
Eastbourne	0.0783514
"junior middleweight"	0.0780271
NTRA	0.0779304
"Australian Open"	0.0775321
"UEFA Cup"	0.0771495
PGA	0.0769391
"Legg Mason"	0.0767917
ABL	0.0767379
"little league"	0.0763867
interleague	0.0761165
Super-G	0.0757825
Asiad	0.0752505
backstroke	0.0750434
taekwondo	0.0746053
))
("big spender" (desc 3749.95) (sims
"Tony Soprano"	0.0762847
hypocrite	0.0759985
"John Gotti"	0.0712895
vote-getters	0.0708059
centrist	0.0671171
"hard worker"	0.0657314
Cheung	0.0641067
Whitey	0.0640744
ringleader	0.0631678
debater	0.0621531
"Al Capone"	0.0584045
"Rafael Resendez-Ramirez"	0.0581984
"sitting duck"	0.0574065
"risk taker"	0.0573454
"big leaguer"	0.0572785
troublemaker	0.057189
chameleon	0.056901
conciliator	0.054756
idiot	0.0542655
capo	0.0541401
"national leader"	0.0537745
"second person"	0.0529198
"family man"	0.0524254
"top dog"	0.0524111
"The Sopranos"	0.0517456
accomplice	0.0516069
underdog	0.0514902
outcast	0.0514451
"hot issue"	0.0514012
kingpin	0.0506928
drinker	0.0506104
insider	0.0501068
"treading water"	0.0500615
opportunist	0.0499567
"good guy"	0.0497538
pacifist	0.0496937
womanizer	0.0493858
talker	0.0490463
turncoat	0.0489834
untouchable	0.048836
"Bengal tiger"	0.0488115
cog	0.048652
"major leaguer"	0.0485975
paraplegic	0.048418
"margin call"	0.0483445
"ball club"	0.0481304
"heavy hitter"	0.0476829
voyeur	0.0475393
"major-league team"	0.047442
snakehead	0.0474149
capitalist	0.0473077
disciplinarian	0.0471173
goal-scorer	0.0467878
spender	0.0465801
"professional golfer"	0.0460438
HITMAN	0.0458109
agnostic	0.0455626
Pol	0.045505
carnivore	0.0453575
raconteur	0.0450146
peacemaker	0.0448803
"state senator"	0.0448616
"New Englander"	0.0447464
renegade	0.0447421
"black person"	0.0445874
gambler	0.044466
incompetent	0.0440693
realist	0.0439528
jogger	0.0437877
crusader	0.0437588
also-ran	0.0435463
ECNs	0.0434069
carpetbagger	0.0433885
zealot	0.0432696
churchgoer	0.0432164
spoiler	0.0431906
hobbyist	0.0431389
underachiever	0.0431107
giver	0.0422845
Demutualization	0.0419589
lackey	0.0418499
idealist	0.041705
learner	0.0415667
kingmaker	0.041561
slob	0.0414755
Berliner	0.0413348
weakling	0.0412297
"volleyball player"	0.041213
acquirer	0.0411881
pawn	0.0411377
"con artist"	0.0411294
"defense contractor"	0.0409788
pariah	0.0409665
Gurule	0.0409602
DEADBEAT	0.040887
fanatic	0.0408647
bastion	0.040837
"Number @"	0.0407387
picky	0.0407302
"prima donna"	0.0407201
tactician	0.0406664
highflier	0.0405193
orator	0.0405078
"Jane Fonda"	0.0404178
thinker	0.0404082
innovator	0.0403774
has-been	0.0403705
"Agenda @@@@"	0.0403362
"throwing away"	0.0403292
"hit man"	0.0402442
freeloader	0.0401779
"whipping boy"	0.0401
protector	0.0400418
))
("Big Sur" (desc 1150.78) (sims
"West Lake"	0.0913313
Pyrenees	0.0913018
Nabatiyeh	0.0874992
"Palm Springs"	0.0849592
Monterey	0.0837349
Sonoma	0.0783989
Cerent	0.0777189
Mendocino	0.075672
Caprivi	0.07226
"San Fernando"	0.0722252
"Baltic Sea"	0.0721948
Warri	0.0709019
Baltic	0.0698987
Ife	0.0692442
Mid-Atlantic	0.0686756
Devon	0.0678443
"Far Eastern"	0.0669523
"Great Plains"	0.0667621
Badme	0.0662968
"Dead Sea"	0.0661348
Bekaa	0.0657132
"Eastern Cape"	0.0650061
"Santa Clarita"	0.0646037
Gnjilane	0.0645785
Mullaitivu	0.0643723
"Baja California"	0.0640005
Marin	0.0639739
Tigray	0.0635334
"San Diego County"	0.062828
"Beibu Gulf"	0.0622078
"Black Sea"	0.0620552
Drenica	0.0619179
"Western Pacific"	0.0612961
ARCADIA	0.0611923
Marjayoun	0.0610787
"southern hemisphere"	0.0607934
Naperville	0.0601757
"engine room"	0.0598868
"Port Said"	0.0598507
Belacevac	0.059738
Prizren	0.0593173
"Happy Valley"	0.0592644
Putumayo	0.0591883
savanna	0.0590713
"Pacific Coast"	0.0586765
Uvira	0.058473
Adriatic	0.0580119
Decani	0.0580086
"Red Sea"	0.0579631
Rafah	0.0579578
Tuscany	0.0579053
Malisevo	0.0578082
Normandy	0.0577781
"Rocky Mountain"	0.0577062
Prijedor	0.0577061
"Marin County"	0.0575093
"Delta State"	0.057419
Killington	0.0568915
"British Columbia"	0.0567032
Merca	0.0565974
"East China Sea"	0.0563496
Ballymoney	0.0561861
Alps	0.0560502
"Ohio Valley"	0.0558475
Podujevo	0.0556666
Limassol	0.055582
"Greek Cypriot"	0.0554183
Gisenyi	0.0552407
Ipswich	0.0551557
Lijiang	0.0551264
Chesapeake	0.0549129
"South Atlantic"	0.0546616
"Santa Barbara"	0.054374
"Cape Fear"	0.0543646
Nablus	0.054132
Hattiesburg	0.0541002
"Flagler County"	0.0538507
Posoltega	0.0534856
"San Joaquin Valley"	0.0534555
"Orange County"	0.0531972
"Sea of Japan"	0.0531725
Assisi	0.052615
ASHEVILLE	0.0525586
"Deer Valley"	0.052325
Palawan	0.0522984
Sihanoukville	0.0522089
"French Alps"	0.0520674
Catskill	0.0520128
Chatsworth	0.0516756
Cornish	0.0516667
"Studio City"	0.0516596
"Mill Valley"	0.0516139
"Newport Beach"	0.0515844
Bukavu	0.0515027
"Empire State"	0.0514938
"Santa Ana"	0.0514586
"San Francisco Bay"	0.0512934
Urus-Martan	0.0511278
"mess hall"	0.0510447
Brunswick	0.0508833
Kalimantan	0.0508707
"Simi Valley"	0.0508553
Tahoe	0.0507485
Urosevac	0.05065
midland	0.0506395
Bund	0.0505902
"Florida Keys"	0.0505737
seascape	0.050237
Pacoima	0.050183
Brockton	0.050171
Sonora	0.0501701
"Sierra Nevada"	0.0501326
panhandle	0.0500813
Vavuniya	0.0498833
"Niger Delta"	0.0497802
Avignon	0.0496746
glade	0.0496576
Piedmont	0.0493287
"Granada Hills"	0.0492607
"Lijiang River"	0.0491625
Mitrovica	0.0491592
Poughkeepsie	0.0491274
Mekong	0.0490788
"Mount Pleasant"	0.0490508
"Indian Ocean"	0.0490065
Kurdistan	0.0489728
"Suva Reka"	0.0486724
Cabinda	0.0486338
"American West"	0.0485813
Kyushu	0.0485734
Adirondacks	0.0485701
Redding	0.048392
Chappaqua	0.0483235
"Arabian Sea"	0.0483102
Luzon	0.0483022
Jenin	0.0482524
Gulu	0.0482405
Galilee	0.0480804
LAKEWOOD	0.0480212
Vitoria	0.0479016
Khabarovsk	0.0477749
Caspian	0.0477541
"Gwinnett County"	0.0477285
Petersburg	0.047495
"North African"	0.047437
"classical ballet"	0.0473739
"coastal plain"	0.0471377
"Garvaghy Road"	0.0470672
Sinai	0.0469546
"Dianchi Lake"	0.0467878
multi-ethnic	0.0467669
"Lake Tahoe"	0.0467503
Duluth	0.0465817
Kwazulu-Natal	0.0465552
Appalachia	0.0465548
"San Angelo"	0.0465478
Golcuk	0.046427
"Sonoma County"	0.0463143
"Montego Bay"	0.0463092
"Great Neck"	0.0462955
"Grand Central"	0.0461781
Brittany	0.0461507
"Fort Worth-Dallas"	0.0461482
"Yellow Sea"	0.0461265
Crimea	0.0460644
"Lake Michigan"	0.0460578
"Puget Sound"	0.0459381
"Mediterranean Sea"	0.0459183
Carthage	0.0458987
roundtrip	0.0457552
"old growth"	0.0457388
Judea	0.0456178
"Ventura County"	0.0455316
"Jordan Valley"	0.0454877
Sedona	0.045076
Kismayu	0.0450432
Ijaw	0.0449887
steamboat	0.0449104
"Santa Cruz"	0.0447703
Srbica	0.0447427
Paranthan	0.0443934
Ensenada	0.0443699
"Grand Forks"	0.0443475
"Manhattan Beach"	0.0443341
Talipao	0.0442335
"Golden Triangle"	0.0441873
"Woodland Hills"	0.0441412
Yellowstone	0.0441142
Junik	0.0439754
"Sun Valley"	0.0439502
Potomac	0.0439019
Encino	0.0435358
Dundalk	0.0435193
lamasery	0.0435176
Oxnard	0.0434778
"fraternity house"	0.0434493
Zaragoza	0.0434363
"Lei Feng"	0.0432733
Aegean	0.0431892
Kitgum	0.0431371
))
("big time" (desc 18255) (sims
"big league"	0.103971
varsity	0.0881198
world-class	0.0807056
"major league"	0.0694661
"Division @"	0.0676914
top-@@	0.0657953
mainstream	0.0636603
special-teams	0.0632177
postseason	0.0620744
high-stakes	0.0596072
sought-after	0.0594212
marquee	0.0591708
"big game"	0.058821
third-down	0.0577284
subpar	0.0570161
NBA	0.0563295
hotshot	0.0559983
stardom	0.0559031
prep	0.055691
"prime time"	0.055228
All-America	0.054153
"Super Bowl"	0.0538818
football	0.0533547
NFL	0.0532349
"minor league"	0.0528536
"Cal State Northridge"	0.0520019
"Top @@"	0.0518496
"Hall of Fame"	0.0517948
playoff	0.0517144
"junior college"	0.051218
playing	0.0508017
"second best"	0.0499815
All-Pro	0.0496102
gridiron	0.0490006
"Pro Bowl"	0.048884
savvy	0.048131
"No. @"	0.0474883
"high school"	0.0471544
basketball	0.0471108
multimillionaire	0.0463689
"big shot"	0.0463142
"two key"	0.0463069
wrestling	0.0460504
NHL	0.0460102
first-time	0.0455913
ok	0.0450201
Gator	0.0450103
"Winston Cup"	0.0449964
"NCAA Tournament"	0.0449179
Laker	0.0448881
No.@	0.0447428
Hollywood	0.0445692
ASU	0.0444068
Behind-the-scenes	0.0443166
"old school"	0.0439435
"a few"	0.0438482
"little league"	0.043807
"triple crown"	0.0437133
UW	0.0436553
cowboy	0.0433882
All-American	0.0424591
darn	0.0423619
ACC	0.0423409
Trojan	0.0422057
millionaire	0.0421888
Pac-@@	0.0421031
hockey	0.0420205
"Big East"	0.0419733
"show business"	0.0419079
celebrity	0.0416097
L.A	0.0415412
"World Series"	0.041462
breakout	0.0413699
hardball	0.0413148
backroom	0.0413076
"Ryder Cup"	0.0411906
finesse	0.0410181
coaching	0.0409758
gopher	0.0407664
"professional football"	0.0407226
All-Star	0.0406672
"the very best"	0.0406557
TCU	0.0406404
highschool	0.0404583
matador	0.040241
"next five"	0.040174
CSUN	0.0400473
))
("Big Tobacco" (desc 3312.44) (sims
"tobacco industry"	0.157095
Gunmakers	0.109026
MP@.com	0.0888867
"State Farm"	0.0782375
"American Home"	0.0725223
McDermott	0.0724384
"W.R. Grace"	0.0690571
HMO	0.0657553
"Ford Motor Co."	0.063743
Capano	0.0635784
"Con Edison"	0.0632806
SMG	0.0629023
RIAA	0.0603319
Mudge	0.0596109
"Philip Morris"	0.0594816
AUM	0.059448
Aetna	0.0591715
polluters	0.0590074
"Russell Peeler"	0.0586939
"Coca-Cola Co."	0.0577764
"Microsoft Corp."	0.0571436
"Julius Francis"	0.0570334
"Pacific Bell"	0.0564274
"Brown &AMP; Williamson"	0.0561913
"health maintenance organization"	0.0559455
Lindland	0.0542311
"Paula Jones"	0.0522848
"National Rifle Association"	0.0514186
Moorer	0.0508092
Cisneros	0.0508049
Exxon	0.05073
Kurth	0.0502851
"trial lawyer"	0.0499543
Providian	0.049744
"Smith &AMP; Wesson"	0.0491338
CellPro	0.0485707
"Riddick Bowe"	0.0485549
Harris-Lewis	0.048416
"Pac Bell"	0.0483626
"Pius XII"	0.0482859
Liggett	0.0479505
Cayugas	0.0478493
Catacosinos	0.0477975
Eappens	0.0476761
NRA	0.0476423
Protas	0.0475572
Ramseys	0.0475308
Campas	0.0473537
"Lyndon B. Johnson"	0.046812
GPU	0.0464711
"Branch Davidians"	0.0464254
"Michael Moorer"	0.045897
landowner	0.0458773
"Big Blue"	0.0457808
"American Home Products"	0.0457247
"property owner"	0.0456442
Allstate	0.045486
Kozeny	0.0448354
Fagan	0.0447692
SabreTech	0.0444821
"Oliver McCall"	0.0443286
SCI	0.0441615
Jewell	0.0438223
Papon	0.043229
Frankel	0.0432031
Napster	0.0431499
Botha	0.0430532
"juvenile delinquency"	0.0430412
"American Civil Liberties Union"	0.0429137
MarketWatch.com	0.0428991
"Publishers Clearing House"	0.0428926
Amway	0.0428316
CTV	0.0426577
Ntakirutimana	0.042527
Agca	0.0425051
Marlborough	0.0422769
Meskini	0.041993
Haouari	0.0419458
All-Tech	0.0418877
"Federal Election Commission"	0.0417821
Schwarz	0.0416831
Kulikov	0.041665
"Don King"	0.0414185
Coelho	0.0413413
"Marianne Gingrich"	0.0413029
EMC	0.0412788
Nichols	0.0412526
Morales	0.0412423
Volkswagen	0.041226
Loewen	0.0410985
"Juan Miguel Gonzalez"	0.0410317
"health care provider"	0.0409966
"United States government"	0.0408911
Woodward	0.0408247
"Dan Morales"	0.0408146
Pirro	0.0407771
Cadbury	0.0406701
spammers	0.0403351
Bowe	0.0402696
"U.S. Trust"	0.040231
neuroses	0.0400327
))
("Big Unit" (desc 1215.1) (sims
"Matt Mantei"	0.1101
"Jon Lieber"	0.105183
Pavano	0.105063
Mantei	0.0994972
Sasaki	0.0962162
"first pitcher"	0.0928685
Mlicki	0.0917741
Checo	0.0910743
Burba	0.0900972
Heredia	0.0878141
Mahomes	0.0876102
Benes	0.0853072
Lieber	0.082388
Petkovsek	0.0816151
Dempster	0.0806688
Contreras	0.0805905
Appier	0.0788646
Rusch	0.0785596
Radke	0.0771052
Borbon	0.0767729
"Trevor Hoffman"	0.0761033
"Kevin Tapani"	0.0758398
Astacio	0.0738036
Herges	0.0737601
Schourek	0.0737595
"Todd Jones"	0.0737309
Daal	0.0735784
Halama	0.0735772
Stottlemyre	0.0731298
D'Amico	0.0729968
"Jason Bere"	0.0729807
"Lahore Declaration"	0.0701283
Bottenfield	0.0701244
"Brad Penny"	0.069492
"Dustin Hermanson"	0.0692063
"Byung-Hyun Kim"	0.0687532
Bere	0.0687402
"Rick Aguilera"	0.0685809
"Turk Wendell"	0.0685288
"Paul Shuey"	0.0684075
"Greg Swindell"	0.0681716
Mulholland	0.0675424
"Javier Vazquez"	0.0667364
Olivares	0.0665074
Tomko	0.0664523
"Mark Guthrie"	0.0663007
Nicol	0.0660532
"Bob Gibson"	0.0659354
Cormier	0.0658227
"Eric Milton"	0.0658173
"Chuck Finley"	0.0654677
"Sugar Ray"	0.0654575
"Bartolo Colon"	0.065438
"Manny Fernandez"	0.0652625
Swindell	0.0648102
"Randy Johnson"	0.0648014
Grimsley	0.064497
Trachsel	0.0643523
Hentgen	0.0640203
Harnisch	0.0639204
sixth-graders	0.0638646
"Mike Mussina"	0.0638539
"Mike Stanton"	0.0636641
Saberhagen	0.0634386
"El Duque"	0.0633236
Stephenson	0.0633167
Suppan	0.0632103
Embree	0.0631447
"Jesus Sanchez"	0.0630763
"Rod Beck"	0.0627474
"Russ Ortiz"	0.0627404
Detmer	0.0627232
Kile	0.0618353
"Doug Henry"	0.061678
battler	0.0616077
"Mike Sirotka"	0.0615462
Belcher	0.0609981
"Mike Timlin"	0.0609276
"John Wetteland"	0.0608765
Chouinard	0.0608385
"Brian Bohanon"	0.0607259
Nagy	0.0606987
"Roger Clemens"	0.060634
"Randy Myers"	0.0605527
Yarnall	0.0605417
"Dan Miceli"	0.0603063
Hasegawa	0.0602084
Anand	0.0599642
"two pitchers"	0.0598387
change-up	0.0597944
Dotel	0.0595234
Remlinger	0.0593466
"Millennium Bug"	0.0593353
Sele	0.0591857
Etherton	0.0590282
"John Burkett"	0.0590259
niner	0.0589978
Timlin	0.0586179
"Todd Stottlemyre"	0.0585049
"Scott Erickson"	0.058453
forkball	0.0583452
goal-scorer	0.0582633
"Damian Rhodes"	0.0580941
"Shane Reynolds"	0.0577142
Intimidator	0.0576527
"Kirk Rueter"	0.0575777
"Bob Wickman"	0.0575167
Radinsky	0.0575118
"margin call"	0.0574047
"Omar Daal"	0.0572719
"Jose Mesa"	0.0572253
Loaiza	0.0570556
"Mike Remlinger"	0.0569348
"Esteban Loaiza"	0.0568259
Osuna	0.0566678
"Greg McMichael"	0.0566502
changeups	0.0566057
Bohanon	0.056382
lefthander	0.0563361
"Fighting Irish"	0.05624
Parris	0.0561981
"Ugueth Urbina"	0.0561972
"Jason Christiansen"	0.0561265
"John Vanbiesbrouck"	0.0560708
Neagle	0.0560475
Orosco	0.0559936
"Bryce Florie"	0.0558254
"Rick White"	0.0558077
Rincon	0.0556283
"three pitchers"	0.0552344
Tapani	0.0550637
"Russ Springer"	0.0549783
"Oba Carr"	0.0549036
"Matt Morris"	0.0548631
left-hander	0.0548499
"Curt Schilling"	0.0547324
Nomo	0.0546728
"Gregg Olson"	0.0544785
"Robb Nen"	0.0544331
Arrojo	0.0543919
Gilmour	0.0541782
Gooden	0.0539135
"Kazuhiro Sasaki"	0.0538924
Zimmerman	0.0538482
"Pedro Astacio"	0.0536747
"Jay Powell"	0.0536558
Reynoso	0.0535982
"cash crunch"	0.0535242
"ball club"	0.0534622
"major leaguer"	0.053277
Yashin	0.0530553
Crabtree	0.0530381
"Doug Pederson"	0.0529749
"Rich Garces"	0.0528415
"Greg Maddux"	0.0527743
splitter	0.0527162
"Danny Graves"	0.0526508
Golota	0.0526251
Mercker	0.0525305
Hershiser	0.0524817
"Pete Schourek"	0.0523809
Meche	0.0521057
Valdes	0.052079
Irabu	0.052063
Wasdin	0.05201
Yoakam	0.051791
"Dave Mlicki"	0.0515456
"Sandy Koufax"	0.0514197
"Charles Haley"	0.0514142
Brantley	0.0514022
Wendell	0.0512524
Milton	0.0511417
"Jamey Wright"	0.0510534
"raw talent"	0.0508692
"Scott Radinsky"	0.0508624
"Chuck McElroy"	0.0507642
Seanez	0.0506065
Randy	0.0505009
"Kevin Appier"	0.050446
"Matt Franco"	0.0504091
Gagne	0.050347
Candiotti	0.0503169
"Wilson Alvarez"	0.0502306
Hermanson	0.0502111
"Jason Schmidt"	0.0501538
"Andy Pettitte"	0.0500501
Mussina	0.0499979
Konerko	0.0499162
Zito	0.0499015
"Mark Langston"	0.0498826
psychopath	0.0498673
bagpiper	0.0498545
"Paul Byrd"	0.0497152
Masaoka	0.0497024
"Shigetoshi Hasegawa"	0.0496764
"Armando Reynoso"	0.0494378
"Jeff Weaver"	0.0494066
Wohlers	0.0493438
Meadows	0.0493307
Fassero	0.0492004
))
("Big West" (desc 1255.26) (sims
C-USA	0.258088
"Western Athletic Conference"	0.211472
"Atlantic Coast Conference"	0.203997
"Southwest Conference"	0.199676
"Big Sky Conference"	0.189496
Pacific-@@	0.183404
"Big Sky"	0.18301
WCC	0.179161
WAC	0.178253
"Big East"	0.16789
"NFC West"	0.163512
"Conference USA"	0.159901
ACC	0.158872
"AFC Central"	0.143039
"Federation Cup"	0.142363
"National League West"	0.135012
"Southeastern Conference"	0.134385
"AFC West"	0.133823
"Central Division"	0.133506
CAA	0.130407
"Big @@"	0.13027
Pac-@@	0.128674
"NFC Central"	0.128494
"World Championship"	0.128245
"Fed Cup"	0.127714
"NFC East"	0.125618
"Hopman Cup"	0.125509
PBA	0.125473
EuroLeague	0.121231
"Ivy League"	0.1196
"Division @"	0.119325
"National League East"	0.113436
"Hong Kong Open"	0.11265
"Pacific Division"	0.112619
"Canadian Open"	0.112385
WTA	0.111177
"Atlantic Division"	0.1093
"Japan Open"	0.108556
"Eastern Division"	0.107739
"AL Central"	0.10742
"World League"	0.107179
Bundesliga	0.106517
"Little League World Series"	0.105196
"Copa America"	0.10445
"Division I-AA"	0.104395
cruiserweight	0.10386
"League Cup"	0.103795
"American League West"	0.103485
"National League Central"	0.102493
"Uber Cup"	0.101627
"European Champions Cup"	0.100347
hardcourt	0.0993397
"AL East"	0.0986834
ATP	0.0986554
USTA	0.0985904
constructor	0.0983403
"American League East"	0.0980884
A.L.	0.0974673
"U.S. Amateur"	0.097393
"Stockholm Open"	0.0967485
PATA	0.0966154
"ice hockey"	0.0963416
"Libertadores Cup"	0.0962462
"NL Central"	0.0958865
"Dunhill Cup"	0.094587
snooker	0.0934027
"AFC East"	0.0929755
"NL East"	0.0925584
"United States Open"	0.0916012
"Nations Cup"	0.0906689
"Midwest Regional"	0.0904813
"ATP Championship"	0.0896891
"Asian Cup"	0.089411
"junior lightweight"	0.0883985
"Italian League"	0.088149
"Pan Pacific"	0.0874016
"Hamlet Cup"	0.0871347
nightcap	0.086014
LPGA	0.0854146
"NL West"	0.0850958
"match play"	0.0847849
"Red Star"	0.0846602
"water polo"	0.0846129
"Kremlin Cup"	0.0843276
"South Regional"	0.0840309
"Maurier Open"	0.0839021
CWS	0.0831667
"first nine"	0.0815365
"West Regional"	0.0813715
"MLS Cup"	0.0813651
"African Nations Cup"	0.081184
ABA	0.0811174
"first cup"	0.0802127
"African Cup"	0.07958
"Confederations Cup"	0.0795508
"AL West"	0.0795343
"U.S. Senior Open"	0.0789748
"junior welterweight"	0.0789123
"Swiss Open"	0.0784893
"WTA Tour"	0.0784799
PSG	0.0784111
WBO	0.0783273
"Pan Ams"	0.0782258
peewee	0.0782145
"National Collegiate Athletic Association"	0.0780394
Doral	0.07797
under-@@	0.077954
"Paris Open"	0.07737
Lipton	0.0772718
"ATP Tour"	0.0772692
flyweight	0.0771951
Transamerica	0.0769882
varsity	0.0768195
"Funny Car"	0.0766843
"Peach Bowl"	0.0766689
AFL	0.076648
"Solheim Cup"	0.0764045
ml	0.0763818
"stroke play"	0.0763423
"European Cup"	0.0762558
"Grand National"	0.0759493
"German Open"	0.075615
"Acura Classic"	0.0755263
IPU	0.0753534
"Western Conference"	0.0753006
"Orange Bowl"	0.0746049
taekwondo	0.0745419
"Champions Cup"	0.0744239
"Western Open"	0.0743256
SEC	0.074276
A-@@	0.0741642
VFW	0.0741579
"Deep Blue"	0.0734152
"Italian Open"	0.0730032
med	0.0729593
"SEC East"	0.0728945
"won eight"	0.0727234
"UEFA Cup"	0.0725736
GP	0.0721154
Sybase	0.0713707
"American Football League"	0.0712272
CONCACAF	0.0710642
pre-Olympic	0.0708932
"World Team Cup"	0.0708729
"European Champions League"	0.0706961
"Grand Slam Cup"	0.0705438
"Northeast Division"	0.0698287
"Loch Lomond"	0.0697426
"Cactus League"	0.0695521
pentathlon	0.0694478
"Dinah Shore"	0.0694097
MCC	0.0689882
skeet	0.0686684
"England Club"	0.0684384
NIC	0.0684188
"day game"	0.0683532
"World Boxing Council"	0.0681441
"National Invitation Tournament"	0.0680662
"round robin"	0.0679846
"junior middleweight"	0.0679785
bantamweight	0.0678678
PCC	0.0677041
"Eastern Conference"	0.0674501
gamecock	0.0673061
"Premier League"	0.067184
"Atlanta Olympic"	0.0670022
UPU	0.0668992
interleague	0.0668913
"European Community"	0.0667593
"Home Run Derby"	0.0666437
"Arena Football League"	0.0660231
Mensa	0.0658224
"National Basketball Association"	0.0658004
Maurier	0.0657876
"field hockey"	0.0655721
Dar	0.0652384
WNBA	0.0652103
Internet@	0.0645998
Lakas	0.0645917
"won six"	0.0644018
"Legg Mason"	0.0641931
Halle	0.0640111
"Cup Winners Cup"	0.063957
"won nine"	0.063858
USSR	0.0635502
IRL	0.0634393
"World Boxing Association"	0.0633182
"Buick Classic"	0.0632714
AFC	0.0631633
volleyball	0.0630437
snowboard	0.0629913
Springbok	0.0628809
handball	0.0628237
WEF	0.0627628
"Class AAA"	0.0627424
Stephenville	0.0625053
"Thomas Cup"	0.0623862
WEU	0.062362
CBA	0.0623147
NPT	0.062188
))
(Bigfoot (desc 2557.53) (sims
UFO	0.187396
"right whale"	0.0733787
Rudolph	0.0664126
"Wild Man"	0.0630108
SETI	0.0596114
"blue whale"	0.0594667
"Santa Claus"	0.0591047
"Outlook Express"	0.056512
"Tibetan Buddhist"	0.0562439
colorblind	0.0549975
malignancy	0.0541297
apparition	0.0533728
Veerappan	0.0527986
"Blair Witch"	0.0518983
extraterrestrial	0.051785
Hotmail	0.0511935
Miata	0.0505323
"Howdy Doody"	0.0500242
giraffe	0.0496844
Kopp	0.0484015
"Reagan Democrats"	0.0482793
Shangri-la	0.0474563
"woman's body"	0.0465232
"humpback whale"	0.0450631
Intuit	0.0444668
shoplifter	0.0438869
"mountain lion"	0.043879
meteorite	0.0434148
"Home Run Derby"	0.0434086
"Wyatt Earp"	0.0427124
"giant panda"	0.0424941
bicycling	0.0424351
MGH	0.0423891
Resendez-Ramirez	0.0421197
"wing commander"	0.041559
"gas chamber"	0.0415483
"safety problem"	0.0413492
CGI	0.0412872
"black bear"	0.0412542
"Dirty Bird"	0.0412185
Slayer	0.0409053
"big cat"	0.0407295
nitrate	0.0404906
Calla	0.0401672
))
(bigger (desc 1997.38) (sims
larger	0.14432
"goose bumps"	0.0944981
smaller	0.0936024
stronger	0.0922702
Greater	0.0860581
sharper	0.0705816
harder	0.0683462
longer	0.0681641
"speeding ticket"	0.0679092
inkling	0.0646453
goosebumps	0.0628736
"clean slate"	0.059074
"breathing room"	0.0574161
"positive feedback"	0.0568967
easier	0.0557544
"three pitchers"	0.0542544
"cold shoulder"	0.0532932
co-payment	0.05328
smooch	0.0531017
"breathing space"	0.0510519
oomph	0.0509178
Summitt	0.0502348
"all clear"	0.0495935
plurality	0.0488988
imprimatur	0.0488064
"sneak preview"	0.0487415
readout	0.0487348
knucklehead	0.0470658
smoother	0.0462543
Brogna	0.045989
"human face"	0.0459866
"elbow room"	0.0458332
soulmate	0.0443881
"progress report"	0.0443325
"staying power"	0.0437898
"face lift"	0.043656
Sadie	0.0433491
Ratner	0.0430778
richer	0.0430726
"day of rest"	0.0426744
p/e	0.0425686
"bill of health"	0.0425157
"foster mother"	0.0424941
"won @@.@ percent"	0.0422643
"first word"	0.0420866
hunch	0.0419513
Foxx	0.0416358
renegotiation	0.0413421
"Labor office"	0.0412158
"Christmas present"	0.0411689
"birthday present"	0.0411281
"ball club"	0.0409918
co-president	0.0409724
"time of day"	0.0409355
Checo	0.0409163
warmer	0.0408584
"cost structure"	0.0408532
Malu	0.0407766
"inside track"	0.0407343
Lowdown	0.0406871
drier	0.0405038
facelift	0.0403936
fillip	0.0403829
))
(biggest (desc 23269.2) (sims
largest	0.247018
strongest	0.123444
smallest	0.120711
highest	0.116791
lowest	0.112213
longest	0.0996201
richest	0.0940267
worst	0.0934835
toughest	0.0915518
greatest	0.0905171
heaviest	0.0894822
busiest	0.0854836
second-largest	0.0838525
"first one"	0.0799084
weakest	0.0789881
fastest	0.0780082
deepest	0.0761043
latest	0.0738375
oldest	0.0730756
tallest	0.07226
fewest	0.0720765
hottest	0.0694268
third-largest	0.067987
"turning point"	0.0640124
indication	0.0603105
"third one"	0.0595717
fourth	0.0591405
"first time"	0.0588086
shortest	0.0586729
fifth	0.0582903
deadliest	0.0570011
"highest level"	0.0566476
seventh	0.0555496
sixth	0.0554457
setback	0.0549339
indicative	0.0546837
milestone	0.0515179
"third time"	0.0508099
showing	0.050558
"first step"	0.0500843
sellout	0.0500307
disaster	0.0495437
"second time"	0.0490866
poorest	0.0489337
"second best"	0.0486365
harbinger	0.0485952
hardest	0.0482611
easiest	0.0478392
culmination	0.0474963
"second one"	0.0473821
aberration	0.0466035
occurrence	0.0454822
eighth	0.0454595
"lower than"	0.0447032
anomaly	0.0440733
catalyst	0.0436851
fluke	0.0435953
rarity	0.0431861
"seventh time"	0.0428683
centerpiece	0.0428673
"good example"	0.0427021
accomplishment	0.0424994
tenth	0.0419708
"work in progress"	0.0416393
linchpin	0.0416149
"trading partner"	0.0415726
fraction	0.0412808
ninth	0.041212
"number one"	0.040983
reflection	0.0408892
undertaking	0.0407827
"fifth time"	0.0405874
cornerstone	0.0400087
))
(Biggio (desc 6286.37) (sims
"Craig Biggio"	0.291285
Bagwell	0.265903
Spiers	0.259195
Alou	0.239397
"Jeff Bagwell"	0.225285
"Moises Alou"	0.221192
Fullmer	0.220021
"Richard Hidalgo"	0.216218
Hidalgo	0.212786
Rolen	0.202151
"Derek Bell"	0.198601
"Bill Spiers"	0.196651
Alicea	0.194173
"Tim Bogar"	0.187752
Burnitz	0.186452
"Ricky Gutierrez"	0.18545
"Eric Owens"	0.178591
"Geoff Jenkins"	0.178019
"Matt Lawton"	0.176625
Cirillo	0.174471
"Ken Caminiti"	0.17446
Lankford	0.173521
Caminiti	0.1717
"Tony Eusebio"	0.170023
Alfonzo	0.170015
Abreu	0.167999
"Wally Joyner"	0.16761
Frye	0.16561
Catalanotto	0.164154
"Joe McEwing"	0.163427
"Carl Everett"	0.163088
"Marvin Benard"	0.163036
Cedeno	0.162947
Vidro	0.162238
"Warren Morris"	0.162121
Palmeiro	0.162029
"Stan Javier"	0.160055
Dunston	0.159409
"Damian Miller"	0.158021
"Damian Jackson"	0.157956
"Ray Durham"	0.157379
Olerud	0.157145
"Scott Spiezio"	0.155048
"Mark Kotsay"	0.154947
Alomar	0.153777
"Luis Alicea"	0.151865
Lieberthal	0.151542
"Matt Williams"	0.151168
"Jay Bell"	0.151109
Daubach	0.149924
Fryman	0.149892
"Ron Coomer"	0.148813
Erstad	0.147753
"Dean Palmer"	0.147694
Bautista	0.146418
"Chris Widger"	0.145058
Grudzielanek	0.144881
Randa	0.144634
"Lance Berkman"	0.144606
Aurilia	0.144198
"Edgardo Alfonzo"	0.143392
"John Vander Wal"	0.143107
"Robin Ventura"	0.142342
"Mark Loretta"	0.142194
"Mickey Morandini"	0.142047
Helton	0.141248
Bordick	0.141176
Womack	0.140896
Veras	0.140717
"John Valentin"	0.14038
Karros	0.140287
"David Bell"	0.139848
Lofton	0.139833
"Bobby Abreu"	0.139643
DeShields	0.139424
"Jose Valentin"	0.139255
Everett	0.139253
Ordonez	0.139065
Batista	0.138915
Agbayani	0.13855
"Russ Johnson"	0.138468
"John Olerud"	0.138397
Klesko	0.138305
Guillen	0.138186
Giambi	0.137999
"Jose Vidro"	0.137987
"Tom Goodwin"	0.137736
"Deivi Cruz"	0.137322
"Cristian Guzman"	0.137239
Bichette	0.137017
Canseco	0.136881
"Carlos Lee"	0.136415
"Bill Mueller"	0.136252
"Travis Lee"	0.135702
grieve	0.135384
"Miguel Cairo"	0.134837
"Tony Gwynn"	0.134814
"Pat Meares"	0.134492
"Luis Gonzalez"	0.134417
Leyritz	0.134395
"Quilvio Veras"	0.134061
Glaus	0.133752
"Darin Erstad"	0.133114
Valentin	0.133049
Galarraga	0.132855
"Luis Castillo"	0.132479
"Ruben Rivera"	0.132224
"Tony Batista"	0.132113
McLemore	0.131907
"Bobby Higginson"	0.131329
"Gabe Kapler"	0.131044
"Matt Franco"	0.131023
McGriff	0.13096
"Todd Pratt"	0.130862
Ledee	0.130479
"Scott Rolen"	0.130289
"Dante Bichette"	0.129812
"Paul Bako"	0.1297
"Rich Aurilia"	0.129613
"Rondell White"	0.129611
Renteria	0.129497
"Orlando Palmeiro"	0.129413
"Bruce Aven"	0.129316
"Mike Bordick"	0.129065
"Jeff Cirillo"	0.129046
DiSarcina	0.128653
"Keith Lockhart"	0.128523
"Jason Kendall"	0.12835
"Johnny Damon"	0.12789
"Troy Glaus"	0.127611
Brosius	0.127592
Velarde	0.12713
"Jeff Kent"	0.127042
Tatis	0.12688
"Mark Grace"	0.126787
Gwynn	0.126564
"Randy Velarde"	0.12656
"Eric Young"	0.126555
"Vladimir Guerrero"	0.126396
"Sean Berry"	0.126311
"Joe Randa"	0.126207
Beltran	0.126172
"Mike Piazza"	0.126053
"Benny Agbayani"	0.125497
"Dan Wilson"	0.125475
"Travis Fryman"	0.12546
"Jeffrey Hammonds"	0.12483
"J.T Snow"	0.124507
"Derrek Lee"	0.124399
"Jose Offerman"	0.124378
Glanville	0.124209
Knoblauch	0.124119
"Kelly Stinnett"	0.124053
"David Ortiz"	0.124028
"Cliff Floyd"	0.123778
"Chipper Jones"	0.123733
Higginson	0.12366
Piazza	0.123557
Nevin	0.123303
"Tony Womack"	0.123208
Varitek	0.123169
Boone	0.123141
"Quinton McCracken"	0.122502
"Eric Karros"	0.122491
"Mitch Meluskey"	0.122338
Offerman	0.122137
Delgado	0.122118
"Phil Nevin"	0.121829
Finley	0.121733
"Neifi Perez"	0.121696
"Herbert Perry"	0.121185
Vizquel	0.120949
Stinnett	0.120752
"Marquis Grissom"	0.120472
"Scott Brosius"	0.120399
Sexson	0.120346
Cordero	0.120217
Elarton	0.120002
"Kevin Jordan"	0.119995
"Tim Salmon"	0.119808
"Eddie Taubensee"	0.119794
Hollandsworth	0.119724
Lawton	0.119494
"Enrique Wilson"	0.11936
Garciaparra	0.119214
"Adam Kennedy"	0.118818
Javier	0.118655
Hundley	0.118272
"Preston Wilson"	0.117927
"Devon White"	0.117909
Elster	0.117193
"Gary Sheffield"	0.117113
Segui	0.11685
Kapler	0.116698
Thome	0.116389
"Ryan Klesko"	0.116342
Ramirez	0.11599
"Mike Cameron"	0.115942
"Mike Lieberthal"	0.115915
"Rafael Palmeiro"	0.115873
"Mark Grudzielanek"	0.115651
"Ben Grieve"	0.115641
Surhoff	0.115587
"Mike Lansing"	0.115552
"Todd Walker"	0.115329
Eusebio	0.11504
Hollins	0.114865
"Barry Larkin"	0.114653
"Fred McGriff"	0.114578
Ripken	0.114452
"Bubba Trammell"	0.114374
"Fernando Vina"	0.114216
"Matt Stairs"	0.114105
Brogna	0.113834
"Jeff Conine"	0.113668
"Sandy Alomar"	0.113513
"Pokey Reese"	0.113453
"Corey Koskie"	0.113426
Zeile	0.113306
"Doug Glanville"	0.113275
"Bengie Molina"	0.113206
Burks	0.113093
"Jason Giambi"	0.112923
"Henry Rodriguez"	0.112885
"Jose Guillen"	0.112688
Cabrera	0.112682
Beltre	0.112462
"Danny Bautista"	0.112461
"Steve Finley"	0.11245
"Ricky Ledee"	0.112337
"Eric Chavez"	0.111995
"Jay Payton"	0.111916
"Brad Ausmus"	0.111907
"Juan Encarnacion"	0.111767
Castilla	0.111605
"Craig Counsell"	0.11125
"Rickey Henderson"	0.111174
"Nomar Garciaparra"	0.110999
Mora	0.110887
Vaughn	0.110557
"Alex Gonzalez"	0.110413
"Paul Konerko"	0.110268
Buhner	0.110234
Burrell	0.10998
"Luis Lopez"	0.109957
"Brian Giles"	0.109773
Gilkey	0.109517
"Jim Leyritz"	0.10937
"Jermaine Dye"	0.109268
"Carlos Delgado"	0.109142
"Kevin Young"	0.108976
Greer	0.108966
"Garret Anderson"	0.108877
"Chuck Knoblauch"	0.108735
"Alex Rodriguez"	0.108448
"Jim Thome"	0.108335
"Lee Stevens"	0.108209
Bergeron	0.108108
"Darren Lewis"	0.108062
Andreychuk	0.10806
"Will Clark"	0.1078
"Brady Anderson"	0.107406
"Tony Graffanino"	0.107242
Saenz	0.107148
"Tino Martinez"	0.106558
"Roberto Alomar"	0.106392
"Mike Lamb"	0.10637
Meares	0.106314
"Bret Boone"	0.106077
"Todd Hundley"	0.105988
"Mike Benjamin"	0.105832
"Ivan Rodriguez"	0.105706
"Todd Zeile"	0.105672
Hatteberg	0.105643
"Luis Sojo"	0.10558
"Brian Daubach"	0.10555
Sheffield	0.105509
Furcal	0.105479
"Einar Diaz"	0.105432
Mondesi	0.105353
"Jason Varitek"	0.104975
"Dmitri Young"	0.104973
"Adrian Beltre"	0.10491
"Kevin Stocker"	0.104869
"Andy Fox"	0.104832
"Todd Helton"	0.104721
Easley	0.104561
"Damion Easley"	0.104463
"Melvin Mora"	0.104449
"Dave Hansen"	0.104177
Tejada	0.103764
"Miguel Tejada"	0.103614
"Derek Jeter"	0.1034
"Gerald Williams"	0.103299
Griffey	0.103184
"Frank Thomas"	0.102941
Jeter	0.102611
"Mike Sweeney"	0.102506
"Pat Burrell"	0.102368
Baerga	0.102132
Larkin	0.101824
Cora	0.101763
"Joey Cora"	0.10156
"Brian McRae"	0.101224
Gutierrez	0.101182
"Carlos Beltran"	0.101172
McRae	0.101127
"Roger Cedeno"	0.100936
"Todd Hollandsworth"	0.100886
"Sean Casey"	0.100798
Gant	0.100659
"Mark McLemore"	0.100431
"Brian Hunter"	0.100273
"Luis Polonia"	0.10015
"Mike Lowell"	0.100051
))
(Biggs (desc 1173.67) (sims
Stroganoff	0.104891
APA	0.102554
pressman	0.100638
Grimes	0.0998248
Kurtz	0.0945453
DONOVAN	0.0938106
Trischitta	0.0929182
Schuerholz	0.0926526
Allchin	0.0923109
Zapruder	0.0907983
Bonanno	0.0870358
Oppenheimer	0.0863327
Romer	0.0862254
Rollins	0.0853487
Kornberg	0.0851672
Margolis	0.0844211
Gachet	0.0840729
Schmalensee	0.082905
Rosenthal	0.0823559
Chappell	0.0819944
Krugman	0.0818262
Pearce	0.0817426
Hobson	0.0817409
Martorano	0.0805666
McCombs	0.0795109
Wiggins	0.0791531
Priebke	0.078482
Bronfman	0.0783411
Bolger	0.0783315
Byers	0.0780529
AMF	0.0778891
Hightower	0.07772
Gartner	0.0765411
Angara	0.0758523
Tevanian	0.0757248
Hamlin	0.0753693
Pryor	0.0752
DERSHOWITZ	0.0751736
Burgess	0.0750863
Steinberg	0.0748513
McCurry	0.0748124
Gutman	0.0747509
Cleese	0.074723
Halberstam	0.0746707
O'Malley	0.0745062
Clements	0.0739993
LeBlanc	0.0738171
Andreessen	0.0737787
Auerbach	0.0736805
Clare	0.0736576
Heche	0.0736198
bock	0.0735664
Naumann	0.0733222
McDuff	0.0729195
Yastrzhembsky	0.0728948
Riady	0.0727574
Muir	0.072254
Flores	0.072004
Musa	0.0718072
Kagalovsky	0.0715606
Edelstein	0.0709167
Myhrvold	0.0707444
"Lethal Weapon"	0.0705145
Villanueva	0.0705053
Arpaio	0.0701908
McColl	0.0701683
Paxton	0.07012
Simons	0.0695177
Ingram	0.0695147
Mendez	0.0690427
Hirschfeld	0.0689648
Rosen	0.0687983
TDB	0.0687778
Modise	0.0687621
Rubenstein	0.0683655
Hess	0.0682567
Aleman	0.0679815
Bruton	0.0679287
Hubbard	0.0678833
Wildhorn	0.0677456
Felton	0.0677237
Rosenberg	0.06741
SSB	0.0673175
Lew	0.0673123
Middleton	0.0672391
Hauser	0.0671028
Prabowo	0.0666844
Maher	0.0666821
Bidwill	0.0665525
DeFrantz	0.0665019
Yadav	0.0663677
Larson	0.0663188
Yates	0.0660198
Vasquez	0.0658352
Wyly	0.0656722
Sheehy	0.0656482
Reyes	0.0653605
Newhouse	0.0653506
Skiles	0.0652198
Melvin	0.0651354
Ramsey	0.064953
Hirsch	0.0647563
Chao	0.0647474
McIntyre	0.0646691
Fernandes	0.0646166
Rothschild	0.0645767
Royce	0.0645103
BOJ	0.0642809
Mikhailov	0.0641475
Bingham	0.0639855
Malu	0.0635997
Hybl	0.0634703
Gaston	0.0633608
Hanley	0.0633303
Scripps	0.063315
Curley	0.063197
Winkler	0.0629928
Guralnick	0.0625406
"administration official"	0.0624826
Mackey	0.0623998
Gielgud	0.0622656
Paxson	0.0621289
Sung	0.062059
Gravano	0.0620406
Noonan	0.0617835
Brinkman	0.0617195
Baez	0.0613577
Dassault	0.0611839
Carruth	0.0611718
Ganassi	0.0610347
McDonald	0.0610291
Oates	0.0610046
Ingalls	0.0609687
Sobel	0.0608898
Dickinson	0.0606002
Groscost	0.060543
Whyte	0.0604935
Chadwick	0.0603801
Heyward	0.0602308
Udall	0.0601135
Schaeffer	0.0600513
Blanton	0.0600492
Pugh	0.0599806
Horowitz	0.0598535
Hirst	0.0598447
Hani	0.0598436
Cusack	0.0597821
Patel	0.0596539
Duffy	0.0594546
Scruggs	0.0594284
RBA	0.0594261
Phelps	0.0593431
Ruehe	0.0593167
Kuehne	0.0592145
Guidry	0.0591916
Sapp	0.0591259
Forrester	0.0591191
Darnell	0.0591106
gilder	0.0590939
Gosper	0.0589087
Skakel	0.0588399
Cao	0.0588263
Ulrich	0.0587808
Cortines	0.0586188
Moser	0.0583725
Eisner	0.0583499
Abernathy	0.0583035
Goldstein	0.0582008
Guan	0.0581754
Spiegel	0.0580848
Reinhardt	0.0580237
Leventhal	0.057885
Strauss-Kahn	0.0577944
Weldon	0.0577718
"Truth Commission"	0.0576763
Wetherell	0.0575256
Zucker	0.0574661
Venables	0.0574633
Groening	0.0573901
Verney	0.0573641
Manley	0.0573117
Rankin	0.0572688
Vogel	0.0571443
Eubanks	0.0571399
McAuliffe	0.0571297
Baugh	0.057053
Crichton	0.0570464
Dowd	0.056951
Bogle	0.0568114
Danner	0.056684
Berger	0.0565202
Britton	0.056417
Garrity	0.0563812
Isner	0.0562985
Condon	0.0562494
Butterfield	0.056107
Nichols	0.0560968
Rowley	0.0560897
Abbas	0.0560539
Napolitano	0.0560493
))
(Bighorn (desc 1193.62) (sims
"right whale"	0.141958
snowpack	0.140502
"sea horse"	0.0962265
cormorant	0.0881873
"nine million"	0.0873549
"prairie dog"	0.0867973
"gray whale"	0.0817309
foothill	0.0811539
humpback	0.0801757
"monarch butterfly"	0.0800002
"sea otter"	0.078934
leone	0.0786649
"rare bird"	0.0776184
"horseshoe crab"	0.0763363
"less than @@,@@@"	0.0741063
"blue crab"	0.0735494
"black bear"	0.0729128
aphid	0.0725363
ibis	0.0722572
"Over two million"	0.0716181
"bluefin tuna"	0.0713032
lynx	0.0711861
gazelle	0.0701213
otter	0.070085
sturgeon	0.0696605
elk	0.0691898
"wild horse"	0.0689443
"mountain gorilla"	0.0683899
rhino	0.0679746
coho	0.0677148
bison	0.0667002
"five million"	0.0665395
"voting age"	0.0662859
inpatient	0.0660688
"giant panda"	0.0659816
orangutan	0.0646322
Ong	0.0644977
"eight million"	0.0638407
VMs	0.0638305
nonwhite	0.063365
registrant	0.0632546
"minke whale"	0.0615107
"Bosnian Muslim"	0.0612254
"bald eagle"	0.060964
"grizzly bear"	0.0605597
Opry	0.0599827
"British people"	0.0598363
geese	0.0592273
mainlanders	0.0591021
"sea cucumber"	0.05873
"adult male"	0.0572476
"six million"	0.056919
non-Hispanic	0.0565775
swordfish	0.0562737
Condor	0.0555627
examinees	0.0551834
alpaca	0.0547857
"No. @s"	0.0547082
chimp	0.0547032
"six billion"	0.0545754
eighth-graders	0.0545739
"Four million"	0.0543577
CHT	0.0540691
caribou	0.0539271
rhinoceros	0.0539026
non-Albanians	0.0538934
"African elephant"	0.0535204
"nearly @ million"	0.0530909
earthworm	0.0530713
turbot	0.0526304
Beijingers	0.0525921
"fire ant"	0.052471
enlistee	0.0523886
non-Jew	0.0521928
"New Jerseyans"	0.0514567
test-takers	0.0513874
"Bengal tiger"	0.0509332
antelope	0.0501605
maggot	0.0501092
nonprofits	0.049919
rodent	0.0495941
toad	0.0492314
probationer	0.0491662
fire-fighter	0.0491638
abalone	0.0490647
picketers	0.0489416
"sea turtle"	0.0485057
"nearly @@ million"	0.0483508
grasshopper	0.0479901
"railway car"	0.0477144
"Rocky Mountain"	0.047585
"dairy cow"	0.0475722
reindeer	0.0473927
"domestic animal"	0.0473316
emigrant	0.0473163
waterfowl	0.0472009
weevil	0.0471044
Caprivi	0.0469777
onboard	0.0468205
"dog bite"	0.0465807
non-Jewish	0.0465794
KA	0.0464826
Fredericksburg	0.0463637
"over @.@ million"	0.0462609
"Iwo Jima"	0.0459513
closers	0.0458964
"Newport Beach"	0.0458442
Bryce	0.0457478
"two million"	0.0454118
salamander	0.0453272
centenarian	0.045102
hatchlings	0.0450161
"sea lion"	0.0450113
"Over one million"	0.0449962
"Sri Lankans"	0.0448276
"trust company"	0.044728
"Colo Colo"	0.0447071
carjackings	0.0447006
locust	0.0445173
"San Franciscans"	0.0442981
"Homo erectus"	0.0442001
over-@@	0.0440039
enrollee	0.0437034
non-Muslims	0.0432895
Navajos	0.0431397
"gray wolf"	0.0430602
"three million"	0.0429671
skinhead	0.042748
"Medicare HMOs"	0.0426605
nonwhites	0.0425494
noncombatant	0.0425106
"Hispanic American"	0.0424168
"bird of prey"	0.0424104
Princeville	0.04228
soliders	0.0421791
yearend	0.0421509
Missourian	0.0419952
Asian-Americans	0.0419236
Zion	0.041892
Mexican-American	0.0417706
grub	0.0416794
armadillo	0.0414696
yak	0.0413173
"drug user"	0.0410515
C-@@@J	0.0410019
"Antelope Valley"	0.040918
"mountain lion"	0.0408402
Nepalese	0.0408307
three-decade	0.0406992
"home buyer"	0.0406537
"Emma George"	0.0403639
"Seven million"	0.0402827
Ukrainians	0.0402669
"Atlantic salmon"	0.0402643
"temporary worker"	0.0401261
))
("bighorn sheep" (desc 1246.25) (sims
caribou	0.153393
moose	0.143601
elk	0.136051
"snow leopard"	0.128852
deer	0.126473
chipmunk	0.108606
antelope	0.103788
boar	0.0998985
bison	0.0967046
"wild boar"	0.095528
squirrel	0.0896837
bobcat	0.0882005
"grizzly bear"	0.0854714
porcupine	0.0845637
otter	0.08396
giraffe	0.0796005
"mountain lion"	0.0792512
"black bear"	0.0782336
"red deer"	0.0711773
turtle	0.0702186
venison	0.0699516
yak	0.0694731
"gray whale"	0.0692932
alligator	0.0690011
waterfowl	0.0681954
pheasant	0.0671502
amphibian	0.0671428
reptile	0.0650116
rhinoceros	0.0625003
hyena	0.0623793
"bald eagle"	0.0622646
skunk	0.0619832
leopard	0.0604209
reindeer	0.0602021
"sea turtle"	0.0594836
salamander	0.0593529
iguana	0.0580342
MOE	0.0572664
muskrat	0.0567355
locust	0.0565852
mastodon	0.0565817
peacock	0.0556372
gazelle	0.0550997
raccoon	0.0550488
"minke whale"	0.053948
orangutan	0.0534897
ibis	0.0530756
Pelican	0.0521991
oxen	0.0503855
zebra	0.0501198
tortoise	0.0489148
ox	0.048853
"Bengal tiger"	0.048632
Palczynski	0.0479545
megamergers	0.0473175
grub	0.0469281
"prairie dog"	0.0465629
unicorn	0.0461124
"A.R Baron"	0.0439236
armadillo	0.0426381
"mountain gorilla"	0.0424186
"Easter egg"	0.0423069
walrus	0.0421729
fowl	0.041913
quail	0.0416294
toad	0.0411344
tarpon	0.0405733
))
(bigness (desc 1242.88) (sims
backsliding	0.0592039
Gibbon	0.0584784
nectar	0.0525828
artificiality	0.0517106
scattering	0.0497868
"marine animal"	0.0495971
circumference	0.0485256
concertmaster	0.0479869
vastness	0.0476395
cabal	0.0466306
spunk	0.0460162
"No. @s"	0.044729
naturalness	0.0441869
rowdiness	0.0435858
worldliness	0.0431911
"case history"	0.0428762
pomposity	0.0427637
weevil	0.0425445
idiom	0.0418517
immensity	0.0416917
"practical application"	0.0416472
periphery	0.0415829
"basic concept"	0.0412151
opulence	0.0411927
"about three-quarters"	0.0411832
"Blair Witch"	0.0404678
redefinition	0.0403581
"first five days"	0.0401727
amplification	0.0401403
TMD	0.0400131
syntax	0.0400068
))
(bigot (desc 6965.42) (sims
anti-Semite	0.148409
racist	0.143791
liar	0.130855
hypocrite	0.113918
traitor	0.104319
opportunist	0.095981
fool	0.0924725
coward	0.0908593
bully	0.090792
zealot	0.0886693
incompetent	0.0875979
wimp	0.0869621
thug	0.0852622
phony	0.0835557
fascist	0.0820552
extremist	0.081699
oppressor	0.0811331
buffoon	0.0806837
idiot	0.0805109
denier	0.0766623
adulterer	0.0756623
bastard	0.0753772
lunatic	0.0741574
whiner	0.0730492
crook	0.071018
timid	0.0708591
capitalist	0.0706043
ideologue	0.0693527
thief	0.0684167
moron	0.0683921
charlatan	0.0677703
snob	0.0672102
perjurer	0.0655209
drunk	0.0653818
jerk	0.0651841
Philanderer	0.064882
troublemaker	0.0647086
fanatic	0.0641374
carpetbagger	0.0635956
"risk taker"	0.0633731
monopolist	0.0628904
"good person"	0.0626685
outcast	0.0613653
whore	0.0611719
isolationist	0.0602708
homosexual	0.0601112
redneck	0.0592717
drinker	0.0592352
aggressor	0.0591616
overachiever	0.0587894
maniac	0.0586973
felon	0.0586915
Hick	0.0585537
schemer	0.0585343
murderer	0.0582887
interloper	0.0579501
slob	0.057921
bigotry	0.0578332
radical	0.0577953
brat	0.0577116
expletive	0.0572916
supremacist	0.0571657
doer	0.0570065
hooligan	0.0566858
has-been	0.0563677
manipulator	0.0561728
scoundrel	0.0561561
cheater	0.0561253
"con artist"	0.055572
misfit	0.0555397
lout	0.0554739
womanizer	0.0549608
Judas	0.0541891
boob	0.0541518
crybaby	0.0539373
Klansmen	0.0535203
"fall guy"	0.0530228
bum	0.0528431
"war criminal"	0.0526901
skinhead	0.0526765
"good guy"	0.0526406
reformer	0.0520107
thinker	0.05198
"bad guy"	0.0519096
dilettante	0.0517447
underachiever	0.0516932
wacko	0.051502
Nazi	0.0514506
loony	0.0514145
"hard worker"	0.0511408
scum	0.0506239
sellout	0.0504716
reactionary	0.0503659
optimist	0.0499574
"free spirit"	0.0498979
hater	0.0497748
heretic	0.0493197
villain	0.048835
crazies	0.0488181
"prima donna"	0.0486038
abuser	0.0484343
visionary	0.0483841
apologist	0.0483463
knucklehead	0.0483004
alcoholic	0.0482195
hippie	0.0481456
"black person"	0.0480144
rascal	0.0479979
nerd	0.0479797
agnostic	0.0479542
voyeur	0.0479118
madman	0.0477499
abomination	0.0475605
freak	0.047534
tyrant	0.0473296
feminist	0.0472979
neo-Nazis	0.0471971
pro-choice	0.0471813
DEADBEAT	0.0470962
"important person"	0.0466108
"big leaguer"	0.0464043
elitist	0.0463552
geek	0.0461327
gambler	0.0459659
double-teamed	0.045856
"drug dealer"	0.0458463
"child molester"	0.0455571
witch	0.0454983
clown	0.045467
storyteller	0.0452221
Luddite	0.0452066
"mentally retarded"	0.0450014
anarchist	0.044903
grabber	0.0446657
pawn	0.0446198
bumpkin	0.0444387
imposter	0.0444347
"Shas Party"	0.0443538
"drug addict"	0.0443204
dude	0.0443054
curmudgeon	0.0441658
"pain in the neck"	0.0441494
burglar	0.0439796
sadist	0.0438751
bodybuilder	0.0436472
epithet	0.0436255
nigger	0.0436243
handicapper	0.0436068
believer	0.043572
"tough guy"	0.0433336
sinner	0.043272
ogre	0.0431777
outta	0.0430117
infidel	0.0429767
aberration	0.0429027
swindler	0.0428819
gung-ho	0.0428099
egomaniac	0.0427484
"heavy hitter"	0.0426231
battler	0.0424226
"rich man"	0.0420871
turncoat	0.0420868
grown-up	0.0420837
"draft dodger"	0.0420035
malcontent	0.0419693
idealist	0.0419582
collaborator	0.0419437
renegade	0.0417245
flack	0.0417092
pacifist	0.0416958
"hockey player"	0.0416415
Kook	0.0416002
"whipping boy"	0.0414174
bimbo	0.041391
"role model"	0.0413186
Negro	0.0412138
first-rounder	0.0411476
fundamentalism	0.0411297
nut	0.041021
weirdo	0.0410115
pimp	0.040989
churchgoer	0.0409886
"interior designer"	0.0409535
pragmatist	0.0407839
scapegoat	0.0407837
privy	0.0406015
Iowan	0.0405682
"heroin addict"	0.0402169
dropout	0.0402154
mercenary	0.0401958
fella	0.0401749
"center of attention"	0.040049
))
(bigotry (desc 14891.1) (sims
prejudice	0.22757
racism	0.214465
intolerance	0.198937
anti-Semitism	0.183002
discrimination	0.175581
xenophobia	0.166523
hatred	0.165175
hate	0.154391
homophobia	0.154352
sexism	0.152869
injustice	0.152229
bias	0.13745
extremism	0.133287
segregation	0.132838
oppression	0.127871
greed	0.118292
"white supremacy"	0.113829
ignorance	0.112045
brutality	0.111615
persecution	0.108869
harassment	0.108627
arrogance	0.106942
inequality	0.10261
divisiveness	0.101739
violence	0.101174
"sexual harassment"	0.0991042
hypocrisy	0.0984902
mistrust	0.0959493
nationalism	0.0956926
tribalism	0.0954688
cruelty	0.094932
repression	0.0932299
superstition	0.0906537
exclusion	0.090282
jealousy	0.0893725
misogyny	0.0889411
protectionism	0.0887816
Fascism	0.0886186
intimidation	0.0880487
tyranny	0.0870883
insensitivity	0.0869387
slavery	0.0869125
nepotism	0.0865526
partisanship	0.0864597
corruption	0.0862262
cynicism	0.0861704
selfishness	0.0860924
inhumanity	0.0858377
imperialism	0.0856776
aggression	0.0847694
abuse	0.0845533
indifference	0.0842325
incompetence	0.0841402
hostility	0.0840221
fundamentalism	0.083523
malice	0.083147
coercion	0.0825135
terrorism	0.0814053
distrust	0.0805051
separatism	0.0801814
demagoguery	0.0801755
animosity	0.0799489
poverty	0.0794777
cowardice	0.0784367
chauvinism	0.0781427
colonialism	0.0772438
anger	0.0770802
disrespect	0.0762324
stereotype	0.0762134
"double standard"	0.0753563
snobbery	0.0753338
thuggery	0.0751028
illiteracy	0.0748725
censorship	0.074632
mistreatment	0.0738488
"child abuse"	0.0737807
blasphemy	0.073645
insecurity	0.0735917
vandalism	0.0732592
evil	0.0725827
favoritism	0.0722736
homelessness	0.0718797
slur	0.0715272
homosexuality	0.0713268
resentment	0.0712274
meanness	0.0697955
ridicule	0.0695804
exploitation	0.0690588
lawlessness	0.0689749
maltreatment	0.0689696
hunger	0.0685735
dishonesty	0.0684925
inequity	0.0683618
Alcoholism	0.0682385
"drug abuse"	0.0680484
cronyism	0.0679256
bitterness	0.0677066
irresponsibility	0.0676687
backwardness	0.067569
terror	0.0672299
plagiarism	0.0671057
immorality	0.0667345
piracy	0.0665066
negativity	0.0664853
hegemonism	0.0663383
behavior	0.0657884
sentiment	0.0657857
hooliganism	0.0655328
pornography	0.0653281
stupidity	0.0652978
neglect	0.065066
fanaticism	0.0649668
McCarthyism	0.0648877
incitement	0.0648521
self-interest	0.0646322
infidelity	0.064176
antagonism	0.0638598
enmity	0.0636063
torture	0.0633886
polarization	0.0631555
rancor	0.0628034
immaturity	0.0624232
rage	0.0624069
deception	0.0623202
provocation	0.0622845
activism	0.0621777
misunderstanding	0.0618367
deprivation	0.0615768
insult	0.0614664
betrayal	0.061461
suspicion	0.0613667
"drug use"	0.0610909
authoritarianism	0.0610441
genocide	0.061044
complacency	0.0609701
blackmail	0.0607322
humiliation	0.0607034
revenge	0.06058
contempt	0.0603468
apartheid	0.0602542
hysteria	0.0602046
dogma	0.060044
malpractice	0.0599591
apathy	0.0599063
unfairness	0.0596187
hardship	0.0592368
Nazism	0.0592138
criminality	0.0592019
despair	0.0588375
discord	0.0587031
frustration	0.0586228
opportunism	0.0585496
zealotry	0.0584168
"name calling"	0.0582354
disparity	0.0581584
misconduct	0.0579972
bigot	0.0578332
"class warfare"	0.0577527
boredom	0.057676
barbarism	0.0575791
"drug trafficking"	0.057569
barbarity	0.0574775
ideology	0.0570871
subjugation	0.0570491
prostitution	0.056818
"high treason"	0.056512
isolation	0.0564525
cleansing	0.0563952
rape	0.0560956
heresy	0.0560636
paranoia	0.0559977
manipulation	0.0559513
stigma	0.0558699
adultery	0.055861
deceit	0.05531
Elitism	0.0550403
intransigence	0.0549502
compassion	0.0549154
radicalism	0.0549106
"drug addiction"	0.0546744
tension	0.0545408
religion	0.0545271
interference	0.0544435
isolationism	0.0544026
"sexual assault"	0.0543602
misconception	0.0543428
instability	0.0543337
atrocity	0.0541438
dissent	0.0539888
relativism	0.0539684
desperation	0.0539231
laziness	0.0535777
propaganda	0.0535544
alienation	0.0533464
graft	0.0532612
exclusivity	0.0531858
epithet	0.0530393
"organized crime"	0.0529026
Truancy	0.0527822
rudeness	0.0521611
))
(bigwig (desc 3651.11) (sims
execs	0.109377
honcho	0.0956379
luminary	0.0879105
"power broker"	0.0807574
"big shot"	0.0792106
junkie	0.0780601
apparatchiks	0.0769308
"financial officer"	0.0715083
insider	0.06843
pundit	0.0662737
mogul	0.0662234
"heavy hitter"	0.0643753
archivist	0.0636209
pollster	0.0635539
"government officials"	0.0634994
scriptwriter	0.0627887
renegade	0.0623825
exec	0.0618738
meccas	0.0610817
realignments	0.0597641
potentate	0.0597377
commentator	0.0594864
Litigator	0.059278
"venture capitalist"	0.0591145
"Hulk Hogan"	0.0589137
stalwart	0.0589079
celebs	0.0585241
gadfly	0.058461
bargainer	0.0582767
cameramen	0.0578768
conclave	0.0577563
do-gooder	0.0574821
kingmaker	0.0572504
headhunter	0.0565006
strategist	0.0551201
officeholder	0.0550665
rank-and-file	0.0545316
cognoscenti	0.0541726
Programmer	0.0541382
hotshot	0.0541155
staffer	0.0540246
operative	0.0530185
visionary	0.0527978
weatherman	0.0527323
congressmen	0.0522424
handicapper	0.052104
recruiter	0.0517941
lifer	0.0516032
"department head"	0.0515983
decision-makers	0.0515851
dignitary	0.0514787
preservationists	0.0512402
conferees	0.0511759
ideologue	0.0506565
aficionados	0.0504434
"account executive"	0.0504187
committeeman	0.0503476
geek	0.0502247
statistician	0.0502104
prognosticator	0.050176
"weather forecaster"	0.049772
chairmen	0.0495702
receptionist	0.0495316
wordsmith	0.0495289
groupie	0.049509
literati	0.0492583
higher-up	0.0490948
"Valery Pustovoitenko"	0.0490264
"stamp collector"	0.0489807
publicist	0.048963
mega-mergers	0.0486771
"Wlodzimierz Cimoszewicz"	0.0485216
stuntman	0.0484274
moviemakers	0.0481402
giver	0.0480982
newsmagazines	0.0479372
ruffian	0.0479194
humorist	0.0477598
shindig	0.0477294
arranger	0.047656
evangelist	0.0476522
filmmakers	0.0473862
pallbearer	0.0470561
"diplomatic corps"	0.0469364
presenter	0.0469323
Klansmen	0.0468424
major-leaguers	0.0465086
"elected official"	0.046369
spinoffs	0.0462331
behemoth	0.0461881
fundraiser	0.0459618
phenoms	0.0456456
"labor leader"	0.0455502
"investment banker"	0.0455358
impresario	0.0455009
skyboxes	0.0454688
rappers	0.0453563
"social scientist"	0.0452951
chieftain	0.0452558
interviewee	0.0451695
spokespeople	0.0450736
Alumni	0.0449577
picketers	0.04475
anchorman	0.0447164
"film producer"	0.044713
"consulting firm"	0.0446237
philistine	0.0443928
midshipmen	0.0443816
techies	0.0443411
"Pascoal Mocumbi"	0.044146
Railtrack	0.0440257
"Linda Smith"	0.0440225
"union representative"	0.0439942
upstart	0.0439612
Pol	0.0439195
spokesmen	0.0438947
handicappers	0.0437875
newscaster	0.0437507
"rank and file"	0.0437175
diehard	0.043696
announcer	0.0436377
"Yukio Hatoyama"	0.0436061
axiom	0.0435495
ethicists	0.0435458
doomsayers	0.043543
wunderkind	0.043542
"wise guy"	0.0434812
"consulting company"	0.0434776
toxicologist	0.0434661
"newspaper editor"	0.0433513
"civic leader"	0.043346
satirist	0.0433018
agitator	0.0432894
MONEYBAG	0.0432049
"Karl Rove"	0.0431124
watcher	0.0430718
scribe	0.0430512
booker	0.0430506
functionary	0.0429949
frontrunners	0.0429844
flashpoints	0.0428575
"Prime Minister Kamal El-Ganzouri"	0.0428363
Eubanks	0.0427404
guru	0.0427191
inquisitor	0.0427125
"medical specialist"	0.042671
fixer	0.0426049
"Koichi Kato"	0.0425223
"Ivan Kostov"	0.0425074
"corporate executive"	0.0423729
"Southern Democrats"	0.0423615
Weasel	0.0421903
Trailblazer	0.0421799
experimenter	0.041918
nonprofits	0.0418131
warhorse	0.0418019
"campaign official"	0.0416607
hotspots	0.0416045
snakehead	0.0415819
meteorologist	0.0415241
"television reporter"	0.0415181
alderman	0.0414326
"ad blitz"	0.0413681
fiend	0.0413259
junky	0.0413174
doubter	0.0413055
"decision maker"	0.0413038
"Vo Van Kiet"	0.0411865
supplicant	0.0411101
pitchman	0.0410644
"talking head"	0.0409862
spymaster	0.0409701
whistle-blowers	0.0408085
RCN	0.0406027
traditionalist	0.0405878
"drama critic"	0.0405441
"talent agent"	0.040539
"medical officer"	0.0405126
cohort	0.0403686
"George Will"	0.0402728
"Girija Prasad Koirala"	0.0402471
boosterism	0.0401641
Promos	0.0401109
"rat race"	0.0400933
"committee member"	0.0400393
"newspaper publisher"	0.0400233
))
(Bihar (desc 6202.54) (sims
Maharashtra	0.375111
Haryana	0.319199
"West Bengal"	0.318897
"Andhra Pradesh"	0.295755
Orissa	0.292579
"Tamil Nadu"	0.29032
"Uttar Pradesh"	0.287058
Assam	0.270019
Karnataka	0.270006
"Madhya Pradesh"	0.267694
Gujarat	0.254048
Kerala	0.253601
Rajasthan	0.244598
Punjab	0.241233
"Himachal Pradesh"	0.159265
Delhi	0.132519
Hesse	0.116302
"Quintana Roo"	0.102605
Sindh	0.0961251
"Lower Saxony"	0.0939398
Jammu	0.0911734
Saxony	0.0906408
Brandenburg	0.088407
Pradesh	0.0882335
Guanajuato	0.0881858
Queensland	0.0875734
Zacatecas	0.0848337
"South Vietnam"	0.0818563
"New South Wales"	0.0814777
Bavaria	0.07974
Chiapas	0.0787759
Sinaloa	0.0785123
"Baja California"	0.0783614
Morelos	0.0781661
Jalisco	0.0769761
Veracruz	0.0761098
Sarawak	0.0756966
Kedah	0.074392
Guerrero	0.0732798
Kaduna	0.0722022
Puebla	0.0719579
Sabah	0.0715664
Putumayo	0.0715425
Oaxaca	0.0705288
Niger	0.0678823
Michoacan	0.0665636
Tamaulipas	0.0663538
prefecture	0.0652496
KwaZulu/Natal	0.0649963
"Minas Gerais"	0.0648052
"Delta State"	0.0641851
Selangor	0.0637054
Bahia	0.0625306
Srinagar	0.0615212
Antioquia	0.0612626
Kashmir	0.0611971
"Kwazulu/Natal Province"	0.0611016
Tasmania	0.0600813
Kwazulu-Natal	0.0599613
Ulster	0.0597193
Jaipur	0.0590172
PATNA	0.0578498
Kelantan	0.0571174
Tabasco	0.0568434
"KwaZulu-Natal Province"	0.0566385
Lucknow	0.0558398
Algeria	0.0557822
governorate	0.0548719
"Central Province"	0.0544925
"Ivory Coast"	0.0544508
Malawi	0.052841
Johor	0.0516621
Durango	0.051545
Haiti	0.0512535
"New Delhi"	0.0506661
"Solomon Islands"	0.0501835
"New Mexico"	0.0500852
"Rift Valley Province"	0.0500143
Maluku	0.0499788
Lesotho	0.0498277
chihuahua	0.0498067
"Sao Paulo"	0.0497236
Burundi	0.0491629
Sonora	0.0488232
Drenica	0.048604
Bombay	0.0484964
midterm	0.0484876
"Hunan Province"	0.0481477
"Lagos State"	0.0480364
"Irian Jaya"	0.0479695
Kitgum	0.0479131
Kano	0.0478841
Zhejiang	0.0467002
Malacca	0.0465525
Anhui	0.0464979
Laos	0.0463769
Tigray	0.0462198
Pahang	0.0461905
Karachi	0.0461272
Manitoba	0.0458189
Quebec	0.0457901
Montenegro	0.0457503
"Irish Republic"	0.0456295
Shaanxi	0.0451448
"Northern Irish"	0.0450368
Sylhet	0.044896
"Mount Lebanon"	0.0447752
"Western Cape"	0.0446467
Burma	0.044288
"Great Plains"	0.0441481
Beirut	0.0440189
Bengal	0.0438445
Rhodesia	0.0437747
Wyoming	0.0435162
Chad	0.0435141
"New York State"	0.043339
"Papua New Guinea"	0.0433066
Ontario	0.0432012
"African nation"	0.0431517
"Port Moresby"	0.0430124
Hyderabad	0.042981
Perak	0.0429781
Warri	0.0429454
Tbilisi	0.0427752
Bangalore	0.0427678
Armenia	0.0427288
Okinawan	0.0426633
"Bible Belt"	0.0425963
Madagascar	0.0425455
Edo	0.0424594
regency	0.0424002
"El Salvador"	0.0420836
"Phnom Penh"	0.0419877
Dagestan	0.0419774
Tajikistan	0.0418615
Namibia	0.0416933
Enugu	0.0414358
Nago	0.0413212
Bahrain	0.0412513
Timor	0.0410395
"Suffolk County"	0.0409486
Mindanao	0.0407836
"Central African Republic"	0.0406873
Belfast	0.0404668
Aceh	0.0404446
Daghestan	0.0403959
"Anhui Province"	0.0401913
Vermont	0.0401834
"Northern Virginia"	0.0400812
))
(bike (desc 36998) (sims
bicycle	0.269212
Motorcycle	0.168753
"mountain bike"	0.149839
scooter	0.144386
snowmobile	0.123747
motorbike	0.120465
bus	0.116204
horseback	0.115376
skateboard	0.111322
car	0.107716
moped	0.105098
truck	0.101991
boat	0.101794
treadmill	0.0994657
ski	0.099195
tractor	0.0967785
kayak	0.0955286
vehicle	0.0924185
train	0.0915762
horse	0.0901973
cart	0.0892666
"school bus"	0.0881444
automobile	0.0866011
canoe	0.0864783
tricycle	0.0851077
"lawn mower"	0.0850243
jeep	0.08329
"sports car"	0.0825466
"pickup truck"	0.0820444
airplane	0.0820106
van	0.0806448
trolley	0.078315
wagon	0.0780908
sled	0.0780704
"motor scooter"	0.0777596
watercraft	0.0770871
sailboat	0.07705
"golf cart"	0.0768898
machine	0.073775
Sedan	0.0724216
Tram	0.0722852
Harley-Davidson	0.0716836
"motor vehicle"	0.0716431
rickshaw	0.0713397
subway	0.0712422
taxi	0.0710495
pickup	0.0707582
SUV	0.0694214
"cable car"	0.0690057
shoe	0.0686208
auto	0.0680434
minivan	0.0672305
trailer	0.0672197
furniture	0.0671368
"electric car"	0.0670161
Computer	0.0667966
"roller coaster"	0.0663546
toy	0.0663033
cycling	0.0661665
ride	0.0659111
wheel	0.0657406
tire	0.0653971
yacht	0.0653628
plane	0.0650865
phone	0.0650753
mower	0.0647266
"stock car"	0.0642395
Cruiser	0.0641197
engine	0.0640529
"tv set"	0.0640132
limousine	0.0638378
Buggy	0.0638116
equipment	0.0637749
appliance	0.0637615
"personal computer"	0.0634913
wheelchair	0.0634481
rail	0.0634198
carriage	0.0627304
cloth	0.0626003
camel	0.0624207
sleigh	0.0622788
gun	0.0622714
"shuttle bus"	0.0615833
"cross country"	0.0615628
camera	0.0611761
SUVs	0.0608161
"subway train"	0.0605999
helicopter	0.0604669
rig	0.060152
rowboat	0.0599804
elevator	0.0598561
aircraft	0.0597578
Clothing	0.0593424
gear	0.0592987
"passenger car"	0.0592746
racer	0.0591707
"television set"	0.0588869
"station wagon"	0.0586281
stroller	0.0583231
doll	0.0582939
RV	0.0579337
PC	0.057776
jogging	0.0575731
"fire truck"	0.0574017
ferry	0.057245
Pony	0.0572163
skate	0.057039
laptop	0.0567324
helmet	0.056612
box	0.0565818
snowboard	0.0565591
chair	0.056211
jewelry	0.0561138
Mercedes	0.0559739
trail	0.0559709
ship	0.0558531
"race car"	0.0557932
stereo	0.0553791
motor	0.0552072
lap	0.0551924
"power tool"	0.0551011
refrigerator	0.0547183
motorboat	0.0546002
barge	0.0543669
mule	0.0543396
"shopping cart"	0.0543029
"household appliance"	0.0541828
Ambulance	0.0540879
donkey	0.0539802
convertible	0.0539066
road	0.0538774
craft	0.0535412
"washing machine"	0.0533966
Racing	0.0531951
chassis	0.0531374
cab	0.0530736
Foot	0.0529646
circuit	0.0527475
"freight train"	0.0527144
toilet	0.0526912
Robot	0.052687
model	0.0525823
"police car"	0.0525654
tube	0.0523458
"golf club"	0.0519743
hiking	0.0518433
sofa	0.0517071
luggage	0.0515842
locomotive	0.0515548
bag	0.051457
tank	0.0514282
speedboat	0.0514047
rider	0.0512374
printer	0.0507847
minivans	0.0507737
raft	0.050733
mattress	0.0506965
skates	0.0505885
Coupe	0.0504521
excursion	0.050365
camping	0.0502486
"cellular phone"	0.0501905
backpack	0.0501774
"patrol car"	0.050159
suitcase	0.0501571
skiing	0.0499857
Limo	0.0499389
scanner	0.0499309
conditioner	0.0499272
merchandise	0.0498936
vessel	0.0496147
generator	0.0495703
corvette	0.0494786
shuttle	0.0493831
lorry	0.0492269
minibus	0.0491913
goods	0.0490274
ball	0.0489237
lamp	0.0489011
air-conditioner	0.0487976
surfboard	0.0487108
card	0.0486872
rod	0.0485885
handgun	0.0484332
"dump truck"	0.048408
bed	0.0482439
walking	0.04821
saddle	0.0481976
VCR	0.0479989
device	0.0478083
server	0.0477736
container	0.0477648
apparel	0.0476733
"passenger train"	0.0474604
CD	0.0474535
"Ford Taurus"	0.0473551
Mustang	0.0473475
boot	0.0471912
jacket	0.04703
stove	0.0470047
))
(biker (desc 5617.91) (sims
bikers	0.0990449
hippie	0.0903885
superhero	0.0734556
surfer	0.0704181
lumberjack	0.0685466
jogger	0.0683665
yuppie	0.0667669
cowgirl	0.0657349
Mexican-American	0.0652602
handicapper	0.0641075
hipster	0.0640316
snowboarder	0.0636839
cheerleader	0.0635367
skier	0.0617481
Goth	0.0614046
gangsta	0.0604894
"farm boy"	0.0602598
ragtag	0.0602442
"hockey player"	0.0601751
bimbo	0.0579418
bodybuilder	0.0577151
junkie	0.0574139
"Jesse James"	0.0572466
Italian-American	0.0564952
preservationist	0.0562685
"chess player"	0.0554425
spandex	0.0552138
snowboarders	0.054821
tomboy	0.0545032
hippy	0.05433
choirboy	0.0539518
"young person"	0.0538865
fisherman	0.0535838
scuba	0.0535821
hobo	0.0531236
skateboarder	0.052337
camouflage	0.0516848
counterculture	0.0513087
"jet set"	0.0512567
"prima donna"	0.0508167
techie	0.0505478
bicyclist	0.0504817
goofball	0.0502113
buff	0.0501303
"sports fan"	0.0500507
newspaperman	0.0497317
outdoorsman	0.0496066
"good person"	0.0495731
gangland	0.0494864
suede	0.0492188
"tennis player"	0.0490928
"bird watcher"	0.0489578
bloomer	0.0487708
wiseguy	0.0487037
snowboard	0.0484425
ex-convict	0.048403
bird-watchers	0.0480993
DJ	0.0480991
Superman	0.0479022
segregationist	0.0476465
wrestler	0.0476103
hiker	0.0474488
neo-Nazi	0.0473542
"tough guy"	0.0469726
ringmaster	0.0468965
anarchist	0.0468571
motorcyclist	0.0466485
singer-songwriter	0.0465694
"show biz"	0.0459972
gardener	0.0459624
"rock star"	0.0458767
ex-con	0.0458104
Englishman	0.0457059
plaid	0.0453719
"Next Generation"	0.0453538
"traveling salesman"	0.0453289
leopard	0.0453032
Houdini	0.0452632
"private eye"	0.0452244
"free spirit"	0.0452035
aficionado	0.0451849
stuntman	0.0450186
"pen pal"	0.044838
pinup	0.0447139
Japanese-American	0.0447059
"powder blue"	0.0445936
gangster	0.0444832
Cosmo	0.0444612
"New Democrat"	0.0443992
paraplegic	0.0443937
"police captain"	0.0443155
Aggie	0.0441853
fiend	0.0439668
chap	0.0435659
rapper	0.0434567
"smart aleck"	0.0434499
waitress	0.0434245
magician	0.0432516
Kurd	0.0431717
Chinese-American	0.0430279
"identical twin"	0.0428748
vegetarian	0.0428633
hermit	0.0428497
"important person"	0.0428138
camper	0.0427827
curmudgeon	0.0427595
"James Bond"	0.0427524
Bostonian	0.0426684
jock	0.0426319
troubadour	0.0426045
slob	0.0425359
"foster mother"	0.0423598
fireman	0.0423032
supermodel	0.0420589
nerd	0.0420437
drawstring	0.0420065
hobbyist	0.0419683
racer	0.041966
cartoonist	0.0417967
grandchild	0.0417827
optimist	0.0415763
animator	0.0415654
"bon vivant"	0.0414962
firefighter	0.0414297
Atlantan	0.0414184
"police sergeant"	0.0413305
Judas	0.0413031
karaoke	0.0412159
"major leaguer"	0.0412046
"boy wonder"	0.0411988
"electrical engineer"	0.0411526
Scotsman	0.0410744
"Roy Rogers"	0.0410191
"old woman"	0.0409284
croquet	0.0406531
sadist	0.040542
Grahame	0.040534
"movie star"	0.0404588
redneck	0.0404531
RV	0.0403537
"big leaguer"	0.0403129
"altar boy"	0.0402385
"fashion model"	0.0401581
junky	0.0400392
cyclist	0.0400182
))
(bikers (desc 6830.3) (sims
bicyclist	0.163373
picnicker	0.137371
jogger	0.133826
motorcyclists	0.129675
snowmobilers	0.116534
boater	0.111315
snowboarders	0.110811
hiker	0.101851
skier	0.100705
cyclist	0.0994351
biker	0.0990449
canoeist	0.0945328
kayakers	0.0920534
reveler	0.0888792
beachgoers	0.083563
climber	0.0814449
skater	0.0793164
equestrian	0.0789871
birder	0.078717
skateboarder	0.0783863
enthusiast	0.0780915
rower	0.0780359
angler	0.0766947
camper	0.0745131
"rock climber"	0.0739502
worshiper	0.0714517
marcher	0.0709167
rider	0.0706623
"bird watcher"	0.0706376
skiiers	0.0704849
backpackers	0.0701805
enactors	0.0697236
"mountain climber"	0.0694296
well-wisher	0.0694088
Atlantans	0.0685427
surfer	0.0684925
Ukrainians	0.0682159
racer	0.0679127
bird-watchers	0.0670468
hippy	0.0669956
sightseer	0.0669146
protestor	0.0660142
Fishermen	0.06561
Irishmen	0.0649591
worshipper	0.0648379
adoptees	0.0646735
deejays	0.0643045
swimmer	0.0631883
illegals	0.0630834
anarchist	0.0624325
Honduran	0.0617864
motorist	0.0616852
rappers	0.0615324
sailor	0.0608746
paddler	0.0608676
commuter	0.0602138
vacationer	0.0602035
Haitian	0.0599599
Frenchmen	0.0598861
"college student"	0.0591481
neo-Nazis	0.0588246
reservist	0.0586413
twentysomethings	0.0585333
"military man"	0.0584336
pilgrim	0.0579994
mourner	0.0579765
"farm worker"	0.0579554
concertgoers	0.0579114
"Orthodox Jews"	0.057863
evacuee	0.0576585
conventioneer	0.0575977
enlistee	0.0574456
"coal miner"	0.0566769
stone-throwers	0.0563858
townsfolk	0.0562013
Parisian	0.0561664
skydiver	0.0560286
golfer	0.056017
Chinese-Indonesians	0.055814
gardener	0.0556819
seminarian	0.0553383
Klansmen	0.0552641
Amateur	0.0551583
cowgirl	0.0548498
Cuban-Americans	0.0547475
Japanese-Americans	0.0546089
lobstermen	0.0544559
businesspeople	0.0544341
lifter	0.0543771
onlooker	0.0543657
Liberian	0.0543403
sportswriters	0.0541011
mushers	0.0541003
"union worker"	0.0540115
"university student"	0.0538395
"union member"	0.0537846
Alumni	0.0532811
firemen	0.0531851
townspeople	0.0530605
"Sri Lankans"	0.0529924
fisherman	0.052906
multimillionaires	0.0528388
pickpocket	0.0526555
Bosnians	0.0524301
"hockey player"	0.0524298
"church member"	0.0522136
supermodels	0.05217
asylum-seekers	0.0521157
"North Africans"	0.0520047
squatter	0.0519276
Muscovite	0.0518765
Chinese-Americans	0.0518063
"tennis player"	0.0517472
picketers	0.0517464
Kurds	0.0515869
stargazer	0.0514711
Eritrean	0.0513181
boarder	0.0511336
Copt	0.0510947
craftspeople	0.0510551
"Albanian Kosovars"	0.0509478
Koreans	0.0508332
"Kosovo Albanians"	0.0506701
wellwisher	0.0504215
miner	0.0503836
dignitary	0.0503642
bystander	0.0503062
Beijingers	0.0502314
B-@s	0.0501947
passersby	0.0497809
Humvees	0.0497652
techies	0.0497527
Iowan	0.0497387
Congolese	0.04968
Salvadoran	0.0496676
leftist	0.0496594
diver	0.049644
mugger	0.0495174
Baptists	0.0494228
weightlifter	0.0493096
"little leaguer"	0.0492769
adventurer	0.049143
Englishmen	0.0490574
pedestrian	0.0490238
schoolchildren	0.0489198
skinhead	0.0487015
Mozambican	0.0486733
old-timer	0.0485993
misfit	0.0485484
Georgian	0.0484282
Angolan	0.0484269
traveler	0.0484212
hipsters	0.0482108
Ghanaians	0.0481699
armymen	0.0481216
rioter	0.0478991
VMs	0.0478128
hemophiliac	0.04773
bather	0.0477266
singer-songwriters	0.047674
looter	0.0475348
sympathizer	0.0474817
devotee	0.0474643
shopper	0.0474407
celebs	0.0474063
congregants	0.0473305
"trade unionist"	0.0473169
minor-leaguers	0.0472932
QBs	0.0472426
clergymen	0.0472257
Londoner	0.0472218
teenager	0.0471662
"Israeli Arabs"	0.0471401
"No. @s"	0.0470231
shopkeeper	0.0470004
follower	0.0469377
"Iraqi Kurds"	0.0469374
"stamp collector"	0.0469129
"sports fan"	0.046848
returnees	0.0467505
hooligan	0.0465864
expatriate	0.0465533
urbanites	0.0465307
balloonist	0.0463177
"business traveler"	0.0462784
yuppie	0.0462358
servicemen	0.0462175
midshipmen	0.0460638
spectator	0.0460328
learner	0.0459136
churchgoer	0.0458561
"right whale"	0.0458178
bettor	0.0458143
"volleyball player"	0.0458099
demonstrator	0.0457692
"con artist"	0.0456602
ex-convicts	0.0456028
adherent	0.0453776
"people of color"	0.045342
Dominican	0.045334
))
(bikini (desc 11078.3) (sims
"bathing suit"	0.19275
camisole	0.168543
halter	0.152896
Thong	0.152713
swimsuit	0.144332
skirt	0.143304
"evening dress"	0.138723
sandal	0.134192
pajama	0.134152
dress	0.133676
jumpsuit	0.13003
bra	0.127812
"hot pants"	0.127738
lingerie	0.126642
blouse	0.126382
gown	0.123931
pantsuit	0.121874
sweater	0.119368
"leather jacket"	0.119109
tights	0.116752
beret	0.116291
underwear	0.115879
scarf	0.11582
tunic	0.115318
miniskirts	0.113389
jean	0.113126
nightgown	0.112521
jacket	0.111519
pant	0.110051
"evening gown"	0.109472
legging	0.108727
sweatshirt	0.108329
"cocktail dress"	0.108292
"polo shirt"	0.108158
kimono	0.106761
pullover	0.106368
trouser	0.10483
vest	0.104343
panty	0.103429
"cowboy boot"	0.101167
pajamas	0.100854
tuxedo	0.100334
shawl	0.100233
shirt	0.100174
satin	0.100034
"military uniform"	0.0997212
T-shirt	0.0981604
cardigan	0.0977879
wig	0.0975384
"blue jean"	0.0969631
robe	0.096056
raincoat	0.0958383
Poncho	0.0953085
Outfit	0.0951428
headdress	0.0941734
leotards	0.0941113
slipper	0.0940645
Sari	0.0940607
"baseball cap"	0.0939358
"trench coat"	0.0939332
"business suit"	0.0935504
bathrobe	0.0933011
bustier	0.0932841
"cowboy hat"	0.0931197
underpants	0.0928315
coat	0.0925323
"tennis shoe"	0.0923699
chiffon	0.0921221
Speedo	0.0913595
costume	0.09076
bandanna	0.090696
miniskirt	0.0905385
apron	0.0902814
spandex	0.0901825
bodice	0.089427
sunglasses	0.0890649
headband	0.0886329
sneaker	0.0883784
Bonnet	0.0873448
hat	0.0866959
trousers	0.08633
corset	0.0861871
turtleneck	0.0857453
leather	0.0855055
shoe	0.0847836
stocking	0.0841331
G-string	0.083588
lace	0.0831497
boot	0.0830858
sarong	0.0830476
khaki	0.0826781
sock	0.0801031
shorts	0.0791591
garb	0.0789049
choker	0.0788191
"top hat"	0.0787933
"pants suit"	0.0786791
"evening bag"	0.0784244
loafer	0.078227
"feather boa"	0.077141
pigtail	0.0766403
capris	0.075446
sheath	0.0748928
velvet	0.0747646
"sweat pants"	0.0746947
pantyhose	0.0744989
frock	0.0739639
"straw hat"	0.0736906
pants	0.0736087
handbag	0.0731883
bandana	0.0725726
Swimwear	0.0724713
taffeta	0.0721876
jersey	0.0711682
flip-flop	0.0709869
"wedding gown"	0.070197
tiara	0.0699671
corduroy	0.0698602
slack	0.0692356
hosiery	0.0689181
getup	0.0686984
smock	0.068679
fur	0.0681536
silk	0.0679567
windbreaker	0.0679441
turban	0.0677906
"fur coat"	0.0677529
bracelet	0.0676352
mule	0.0675713
undershirt	0.0668544
"stiletto heel"	0.0668347
blazer	0.0664117
sequin	0.0661433
"bow tie"	0.0660648
cloth	0.0659932
uniform	0.0656229
bellbottoms	0.0655143
"sport shirt"	0.0653495
"street clothes"	0.0652092
anorak	0.0649639
overcoat	0.0644568
"hard hat"	0.0641854
sideburn	0.0636716
veil	0.0636026
suspender	0.063183
skullcap	0.0628314
Cape	0.0627914
Clothing	0.0623849
sportswear	0.0621311
cutoffs	0.0620544
waistcoat	0.0617323
kilt	0.0616796
Tutu	0.0615
"running shoe"	0.0613503
bodysuit	0.0612108
helmet	0.0611958
"dress shirt"	0.0611794
wristband	0.0611397
parka	0.0611186
loincloth	0.0610541
caftan	0.0610238
denim	0.0607536
bluejeans	0.0606466
"boxing glove"	0.060512
"wedding dress"	0.0602202
attire	0.0602167
moccasin	0.0601119
necklace	0.0599031
ensemble	0.0597212
visor	0.0595199
tulle	0.0593256
BOA	0.0591629
stiletto	0.059104
Pantsuits	0.0590565
plaid	0.0589544
flannel	0.0587944
collar	0.0586596
garment	0.0584303
slicker	0.0581034
braid	0.0581012
handkerchief	0.0578236
fabric	0.0574836
"nail polish"	0.0570557
"combat boot"	0.0570549
"mink coat"	0.0570176
"dark glasses"	0.0561291
camouflage	0.0560228
brocade	0.0557418
Hanes	0.055538
regalia	0.0554116
armband	0.0552481
fedora	0.0551213
knickers	0.0550419
stripe	0.0548027
DKNY	0.0546992
goatee	0.0545663
earring	0.0540916
"Lincoln Town Car"	0.0539167
finery	0.0538073
ribbon	0.0537948
))
(Biko (desc 957.024) (sims
Webdale	0.183206
Starovoitova	0.136544
Youk	0.131149
RFK	0.129643
"Matthew Eappen"	0.128011
Faison	0.126528
Durwood	0.12534
Ileto	0.12516
Hajdari	0.121298
Byrdsong	0.11733
Nkabinde	0.11682
Plunkett	0.116799
Slepian	0.116534
Raduyev	0.110989
Rabin	0.110219
Dudayev	0.104149
Perrot	0.10238
Selena	0.101367
Norberg	0.100554
Alydar	0.10003
"James Byrd"	0.0978704
Costin	0.0970817
"Ruiz Massieu"	0.0959039
Timmy	0.095293
Baez	0.0950875
"John Kennedy Jr."	0.0942807
JonBenet	0.0917578
Goodrich	0.0915755
"Martin Luther King"	0.0908474
Dahmer	0.0894921
Cobain	0.0887088
Shepard	0.0878747
Ochoa	0.0878082
"JonBenet Ramsey"	0.0876456
Arkan	0.087472
"Galina Starovoitova"	0.0867699
Gathers	0.0865809
Postel	0.0858439
Amedure	0.0858186
Bedell	0.0851627
"Michael Kennedy"	0.0848234
Nkomo	0.0847136
Gerardi	0.0836771
Yarmila	0.0829853
krueger	0.0823744
Binion	0.0820215
"Matthew Shepard"	0.0818155
Blackmun	0.0817385
"Jerry Garcia"	0.0815507
Moxley	0.080787
"JFK Jr."	0.0807094
"Reggie Lewis"	0.0805525
"James Byrd Jr."	0.0803236
Merritt	0.0801423
militiaman	0.0800191
"Kim Perrot"	0.0796184
"John Lennon"	0.0795885
Tuinei	0.07934
Custer	0.0790934
Borrego	0.0787412
Zhivkov	0.0787009
"Rajiv Gandhi"	0.0786125
Machel	0.0779533
"Adam Petty"	0.0770153
"Leon Hess"	0.0768443
Kovacevic	0.0768257
"Ted Hughes"	0.0766666
Guerin	0.0762635
"Griffith Joyner"	0.0759018
Tierney	0.0758668
"Martha Moxley"	0.0756912
"Robert Kennedy"	0.0754192
first-grader	0.0749663
"Francisco Franco"	0.0749435
Khomeini	0.0743654
Craxi	0.0737609
Jonsson	0.0731154
Cassie	0.0728721
Soares	0.0728092
Kenna	0.0725507
"Lawton Chiles"	0.0723509
Hani	0.0721552
Nyerere	0.0720305
"Florence Griffith Joyner"	0.0719619
Tilberis	0.071574
Oswald	0.0715027
"right whale"	0.0714631
Fahey	0.0712829
"Bobby Phills"	0.0712
Faulder	0.0711078
Loeb	0.0709831
"Patrick Dorismond"	0.0708179
Nasrin	0.0707085
Cory	0.0695143
Mitterrand	0.0694673
Neulander	0.069177
Byrd	0.0689476
"Pol Pot"	0.0687706
Matasareanu	0.0687619
Winchell	0.0687256
"mountain gorilla"	0.0686294
JFK	0.0685661
Yandarbiyev	0.0684983
"Amadou Diallo"	0.0682404
"Kim Il Sung"	0.0680617
Rushdie	0.0679072
"Hafez Assad"	0.0677218
Blackman	0.0676713
Lawler	0.0674561
Copt	0.0673577
Angelica	0.0669259
Leto	0.0669179
Phills	0.0668049
Benton	0.0667586
Landry	0.0665375
Harding	0.0665144
"Vincent Foster"	0.0661403
Mendes	0.066061
Castaneda	0.0659174
"Robert F. Kennedy"	0.0658525
Holzman	0.0653089
Mao	0.0651319
noncombatant	0.0650209
"Alexander the Great"	0.0645694
Ong	0.0644557
Rodin	0.064381
Takeshita	0.0641337
"Ayatollah Khomeini"	0.06412
"Lu Xun"	0.063971
Krasniqi	0.0639131
"Shao Yunhuan"	0.063897
policewoman	0.0638117
B.J	0.0634902
Dorismond	0.0634222
Nasser	0.0632477
Nivel	0.0632035
Coverdell	0.0630837
"Bobby Kennedy"	0.0629488
Lollar	0.0626938
Radojevic	0.0624773
Isaiah	0.062444
Panchen	0.0623373
Yazdi	0.0620953
"Mark Tuinei"	0.0620744
"gray whale"	0.0616467
Twenty-seven	0.0615538
Marchand	0.0614211
Mehmet	0.0613422
Terrell	0.0612525
Herron	0.0611348
"Abu Nidal"	0.0609743
Pippig	0.0606663
Abiola	0.0603613
"second person"	0.0603478
Dandridge	0.0603423
Grissom	0.0602916
"Kenny Irwin"	0.0600588
Trantino	0.0594741
Amin	0.0594363
Sheehan	0.0593982
Henson	0.0593636
Lenin	0.0592722
McPherson	0.0592499
Armenians	0.0590728
Sanan	0.0590003
Kearney	0.0588982
"King Hassan"	0.0586548
Plath	0.0586533
"Carole Sund"	0.0585644
Gandhi	0.0585344
firstborn	0.0582128
Ingalls	0.0580675
"Medgar Evers"	0.0579439
Sweeting	0.0579375
Siskel	0.057682
Tudjman	0.0574993
Seward	0.0574545
Papandreou	0.0572934
Beye	0.0568378
Escobar	0.0566503
Heinrich	0.0565311
"Paul Coverdell"	0.0565284
Allende	0.0563602
Busch	0.0557886
"wild horse"	0.055677
Brashear	0.0556705
Hurtado	0.0554381
Sealy	0.0552712
FDR	0.0549414
"Mother Teresa"	0.0547917
Crockett	0.0547173
"Ron Brown"	0.054615
Shurmur	0.0544049
serviceman	0.0543924
"Dr. Sun Yat-Sen"	0.0539765
Shao	0.0539127
Goldwater	0.053868
Matthew	0.0538627
Bellush	0.053635
"Nicole Brown Simpson"	0.0535853
))
(Bilbao (desc 6364.1) (sims
Espanyol	0.1803
Zaragoza	0.16924
Celta	0.158916
"Athletic Bilbao"	0.142561
Mallorca	0.14114
Alaves	0.139392
"Deportivo Coruna"	0.130964
Valencia	0.130851
Extremadura	0.129807
"Atletico Madrid"	0.127259
"Real Sociedad"	0.125372
"Real Betis"	0.125325
Tenerife	0.124138
Sevilla	0.119546
Betis	0.114013
Valladolid	0.113059
Porto	0.112927
"Celta Vigo"	0.109878
Vitoria	0.106064
Oviedo	0.103411
Madrid	0.102681
Malaga	0.101638
Trondheim	0.0996361
Santander	0.097844
Barcelona	0.0978219
"Real Madrid"	0.0970271
Salamanca	0.0963728
Merida	0.0942695
Deportivo	0.0929223
Rostock	0.092256
Estudiantes	0.0913802
"San Sebastian"	0.091196
Stuttgart	0.0910247
Metz	0.0905663
Guadalajara	0.0903542
Rosenborg	0.0890187
Torino	0.0884766
"PSV Eindhoven"	0.0881407
Casas	0.0828033
Caen	0.0824222
Kaiserslautern	0.0821782
Munich	0.0820771
Brondby	0.0818974
Taloqan	0.0818625
Amsterdam	0.0809925
Panathinaikos	0.0809374
Antalya	0.0801071
Bari	0.0791447
Rennes	0.0787901
Guayaquil	0.0784584
Freiburg	0.0773353
"San Pedro Sula"	0.0771424
Perugia	0.0770032
Aachen	0.0764627
"Albert Portas"	0.0760986
Shenhua	0.0758246
Quito	0.0751423
Venezia	0.0749558
"Deportivo La Coruna"	0.0748951
Bologna	0.0734515
Parma	0.0733626
Feyenoord	0.0733498
Independiente	0.0732142
LISBON	0.0731836
Bordeaux	0.0730993
Strasbourg	0.0730194
"San Cristobal"	0.0729726
Villareal	0.0727554
Seville	0.0725374
Utica	0.0724569
Watford	0.0724368
Leverkusen	0.0718716
Aberdeen	0.0716991
Ljubljana	0.0716245
Wolfsburg	0.0711485
"San Lorenzo"	0.0710209
Schalke	0.0709365
Monterrey	0.0704634
Manchester	0.0704457
Dresden	0.0704026
"Magui Serna"	0.0703159
Palma	0.0700126
Nantes	0.0699731
"Colo Colo"	0.0699393
Yerevan	0.0697063
Verona	0.0695395
Penarol	0.0693467
Olimpia	0.0689973
Naples	0.0689718
Toluca	0.0689097
Salernitana	0.0688814
Cali	0.0687246
Gremio	0.0686843
"AC Milan"	0.0685959
"Paris St Germain"	0.0685264
"VfL Wolfsburg"	0.0684852
Mosul	0.0679657
Fiorentina	0.0678057
Murmansk	0.0675355
Toulouse	0.0669431
"Javier Sanchez"	0.0666927
Berlin	0.0665513
Milan	0.0665024
Galatasaray	0.0663597
"Sturm Graz"	0.0663526
Besiktas	0.066333
"Werder Bremen"	0.0662014
Turin	0.0660785
"Inter Milan"	0.0660194
"La Paz"	0.0660003
Juba	0.0659073
Hamburg	0.0658669
Liege	0.0658309
Anderlecht	0.0657413
Copenhagen	0.0656969
Empoli	0.065696
Nacional	0.065598
Bremen	0.0654745
Montpellier	0.065448
Sapporo	0.0652403
Juventus	0.0652115
Lhokseumawe	0.0651784
Izmit	0.065161
Udinese	0.0650461
Manado	0.0650066
Lyon	0.0648
Vienna	0.0647502
BUDAPEST	0.0647198
Bastia	0.0645847
Southampton	0.0644063
Lille	0.0643569
"Santo Domingo"	0.0640028
"Sao Paulo"	0.0638973
"San Jose"	0.0632792
CARACAS	0.0631372
Nagoya	0.0630962
Peshawar	0.0629647
Osaka	0.0629188
Charleroi	0.0627693
Heerenveen	0.0626914
Benfica	0.0626083
"Ajax Amsterdam"	0.062493
Astana	0.0624739
"Alberto Costa"	0.0620631
Frankfurt	0.0619447
ZAGREB	0.0619161
"San Salvador"	0.0617214
Spartak	0.0616345
Vicenza	0.0615158
"Monte Carlo"	0.0612591
Gdansk	0.0612449
Lausanne	0.0610603
Charlton	0.06092
"Borussia Moenchengladbach"	0.0607834
Dublin	0.0605016
Internazionale	0.0603554
Eindhoven	0.060336
Kuito	0.0602936
Coventry	0.060213
Mankulam	0.0600655
"Carlos Costa"	0.0600381
Bulawayo	0.0600033
Portsmouth	0.059906
Medellin	0.0598005
"Hertha Berlin"	0.0594261
"Guangzhou Apollo"	0.0593951
Lecce	0.0593007
BUCHAREST	0.059298
Dushanbe	0.0592885
"Sergi Bruguera"	0.0591137
"Olympiakos Piraeus"	0.0589752
Yokohama	0.0587956
"River Plate"	0.0585739
Venice	0.0584904
Gothenburg	0.0584444
"Leeds United"	0.0584433
Atletico	0.0581749
TEGUCIGALPA	0.0580325
KIEV	0.0580303
"Olympique Marseille"	0.0580232
"Ho Chi Minh City"	0.0579765
corinthian	0.0578809
Monaco	0.0578807
BOGOTA	0.0576361
"Borussia Dortmund"	0.0575787
"Bayern Munich"	0.0575666
Leeds	0.0575526
Ensenada	0.0575368
"Galo Blanco"	0.0574839
Fenerbahce	0.0574716
"CHIANG MAI"	0.057407
"Mexico City"	0.0573112
Cruzeiro	0.057311
Asuncion	0.0573038
Glasgow	0.0572626
"Red Star"	0.057191
Cologne	0.0571284
Basle	0.0570718
"Coventry City"	0.0569974
ASHEVILLE	0.0568565
))
(Bild (desc 2170.86) (sims
"Yediot Ahronot"	0.421576
Hurriyet	0.321501
Maariv	0.299847
Kommersant	0.280795
"El Mundo"	0.278978
"El Pais"	0.277471
Al-Ahram	0.276544
"Yomiuri Shimbun"	0.268572
Izvestia	0.256166
"Le Figaro"	0.253065
"Asahi Shimbun"	0.250642
"Der Spiegel"	0.235053
"Al Ahram"	0.231991
Haaretz	0.23185
"Sydney Morning Herald"	0.225797
Reforma	0.224075
"Le Monde"	0.212491
"Business Day"	0.207814
L'Equipe	0.207205
Asahi	0.206626
Granma	0.206361
"Nihon Keizai"	0.206095
"Straits Times"	0.20518
"Daily Mail"	0.204966
"Tehran Times"	0.201655
al-Hayat	0.201005
welt	0.200142
"Moscow Times"	0.197804
"Jerusalem Post"	0.196919
Politika	0.196604
"New Nigerian"	0.194629
"Alam Al Yom"	0.194562
"East African Standard"	0.190305
"Iran News"	0.189478
Noticias	0.187652
"Al Hayat"	0.184953
Sowetan	0.183907
Yomiuri	0.179028
"Nihon Keizai Shimbun"	0.178963
"The Monitor"	0.17358
"Kenya Times"	0.171509
"New Straits Times"	0.171162
"Koha Ditore"	0.167483
Sera	0.166189
"South China Morning Post"	0.162045
"Indonesian Observer"	0.160822
"Khaleej Times"	0.160669
"Business Times"	0.15915
"Financial Times"	0.157944
Al-Thawra	0.155651
"Daily Star"	0.154841
"Rodong Sinmun"	0.153378
Spiegel	0.153101
Herald	0.152778
"Daily Nation"	0.150072
"Gulf News"	0.149453
"The New Vision"	0.148928
Salam	0.147484
Star-Ledger	0.147099
Malaya	0.146737
"Post Express"	0.145786
"Jordan Times"	0.144555
"Financial Mail"	0.144471
"Nhan Dan"	0.142678
Inquirer	0.142477
"Egyptian Gazette"	0.140352
"Jakarta Post"	0.136801
"Daily Telegraph"	0.133845
"Washington Times"	0.13188
"USA TODAY"	0.129159
"National Post"	0.12753
gazette	0.126556
telegraph	0.125993
"New Vision"	0.123526
"Ethiopian Herald"	0.121384
"Kathmandu Post"	0.12033
"Vietnam News"	0.117047
"Zambia Daily Mail"	0.112873
"Egyptian Middle East News Agency"	0.112859
"Bangkok Post"	0.110649
"Washington Post"	0.109865
"Chicago Tribune"	0.109426
"Wen Wei Po"	0.108774
"Evening Standard"	0.108031
"Turkish Daily News"	0.10628
"Dow Jones Newswires"	0.105367
"Guangming Daily"	0.104862
Domingo	0.10462
"Zimbabwe News Agency"	0.102271
"New York Observer"	0.100616
Tous	0.100542
"roll call"	0.098957
"U.S. Labor Department"	0.0989389
"Daily News"	0.0981146
"San Francisco Chronicle"	0.0980502
"Miami Herald"	0.0979471
"New York Post"	0.0978385
"East African"	0.0974697
"Los Angeles Times"	0.0969105
Notimex	0.0965931
"Denver Post"	0.0957344
"Associated Press of Pakistan"	0.0946123
"Korean Central News Agency"	0.0942763
"News Agency of Nigeria"	0.0940991
"Dallas Morning News"	0.0938479
frontpage	0.0937702
"Daily Times"	0.0934548
"Philadelphia Inquirer"	0.0929308
Sabah	0.0912323
"Arizona Republic"	0.0902535
Babel	0.0899113
"Wall Street Journal"	0.0883438
Dana	0.0881257
"New York Daily News"	0.08806
"Press Trust of India"	0.0872698
"Business Weekly"	0.0866439
"New Light"	0.0855567
"China Daily"	0.0847057
"British Broadcasting Corporation"	0.0845676
"Seattle Times"	0.0841265
"Agence France Presse"	0.0830133
"Cincinnati Enquirer"	0.0828997
Angop	0.082244
"Boston Herald"	0.0817509
MTI	0.0809639
"Middle East News Agency"	0.0802741
Guardian	0.0801908
"Kansas City Star"	0.0801012
"Iraqi News Agency"	0.0789215
"International Herald Tribune"	0.0785414
Mayo	0.0783738
Brasil	0.0770675
Itogi	0.0769976
"Boston Globe"	0.0761004
"Israel Radio"	0.0755224
TT	0.075314
Ansa	0.0752537
"press agency"	0.075224
IRNA	0.0749437
Bernama	0.0746793
"Ghana News Agency"	0.0746185
"British Broadcasting Corp."	0.0741549
"Red Star"	0.0737376
"Detroit News"	0.0733419
Dominion	0.0732635
tabloid	0.0731243
ATA	0.0724193
Figaro	0.0711838
"Wenhui Daily"	0.0711624
Lusa	0.0705599
"Village Voice"	0.0704631
Post-Intelligencer	0.0703975
WAM	0.0701927
"Macao Daily News"	0.0701758
Petra	0.0701138
"Cable News Network"	0.069863
"Inside Edition"	0.0697366
"Advertising Age"	0.0694931
"Saudi Press Agency"	0.0694686
"Orange County Register"	0.0694553
newsmagazine	0.069404
"Vietnam News Agency"	0.0693066
"United Press International"	0.0692716
Newsweek	0.0689323
BS	0.0682385
Lancet	0.0675304
Tennessean	0.067368
"Hartford Courant"	0.0672058
"Austin American-Statesman"	0.0671432
"Sao Paulo"	0.0670046
"China Daily Business Weekly"	0.066974
"Xinhua News Agency"	0.0668728
"Cyprus News Agency"	0.0664088
Antara	0.0660415
"San Antonio Express-News"	0.0656893
"Detroit Free Press"	0.0654394
"Houston Chronicle"	0.0652281
"Beijing Daily"	0.0650319
"Rwanda News Agency"	0.0649709
"Atlanta Journal-Constitution"	0.0647935
"Philippine News Agency"	0.0645028
"Zambia News Agency"	0.064411
"Kyodo News"	0.0643968
"Australian Associated Press"	0.0643212
tribune	0.0639594
"Sports Illustrated"	0.0639219
Akbar	0.0638821
"Kuwait News Agency"	0.0635328
"Islamic Republic News Agency"	0.0634118
"sports section"	0.0632363
"Jerusalem Media and Communication Center"	0.0628462
"Seattle Post-Intelligencer"	0.0617091
"Southern African Broadcasting Association"	0.0615804
"Chicago Sun-Times"	0.0613897
Oregonian	0.0610935
AFP	0.0610555
"New York Review"	0.0606167
"National Association of Realtors"	0.0604445
APA	0.0600559
Schering	0.0600185
))
(Bildt (desc 2031.43) (sims
Jayakumar	0.192957
"de Charette"	0.17235
Klima	0.166657
Velayati	0.166126
Siazon	0.161201
"Faisal Husseini"	0.16119
Cem	0.159573
"Lee Hsien Loong"	0.158487
Abdel-Meguid	0.157437
Zuma	0.157245
Majali	0.157114
Pustovoitenko	0.155456
Ruehe	0.154775
Sergeyev	0.154174
"Carl Bildt"	0.153323
Mokhehle	0.152269
Lipponen	0.150789
Rifkind	0.150564
Komura	0.149682
Tarawneh	0.145919
Maslyukov	0.145715
Moratinos	0.145082
Dini	0.144671
Meguid	0.14358
"Alexander Shokhin"	0.143536
Shevardnadze	0.142581
Shaath	0.142214
Zeng	0.141822
Piot	0.140623
Kostov	0.140085
Rakhmonov	0.138672
Kasoulides	0.138514
Ogata	0.13807
Orban	0.13757
Sharansky	0.137545
"Secretary General Esmat Abdul-Meguid"	0.137252
Beilin	0.136723
Nazarbayev	0.136609
Kouchner	0.135874
Surin	0.13572
Alatas	0.135146
Seleznyov	0.134396
Blatter	0.133724
Stoyanov	0.132935
Pangalos	0.13277
"De Klerk"	0.132269
Axworthy	0.132052
Kinkel	0.131896
Hybl	0.131864
Ikimi	0.131738
Azad	0.131475
Demaci	0.130033
"Yossi Sarid"	0.129937
Boueiz	0.129777
Singson	0.129559
Constantinescu	0.129152
Schuessel	0.129065
Aventajado	0.12901
Ecevit	0.128904
Scharping	0.12759
"Boris Nemtsov"	0.127313
Erekat	0.12659
"Tim Fischer"	0.126216
"Bashkim Fino"	0.126201
Buthelezi	0.126179
Chavalit	0.125995
Rossotti	0.125721
Ruggiero	0.124849
Insulza	0.124236
Chissano	0.124112
Wolfensohn	0.123357
MURTHA	0.123199
Leghari	0.123198
Aziz	0.122638
Koirala	0.122569
Nateq-Nouri	0.122514
Zadornov	0.12234
Barshefsky	0.122265
Tarrin	0.121895
Guterres	0.121777
Mallon	0.12133
Chuan	0.1212
Harkin	0.120982
Zhirinovsky	0.120749
Granic	0.119934
Shalala	0.119885
Harmoko	0.119284
Shipley	0.11904
"John Prescott"	0.118927
Malu	0.118762
Bizimungu	0.11871
"Chavalit Yongchaiyudh"	0.118415
Rodionov	0.118409
Nasrallah	0.118366
Jovanovic	0.118226
"Yuri Maslyukov"	0.117945
Ganzouri	0.117866
Mordechai	0.117778
"Nabil Shaath"	0.117206
Fleischer	0.116728
Nzo	0.116589
Kyprianou	0.116522
Modise	0.115908
Hoddle	0.115583
Lockyer	0.115563
Kharrazi	0.115439
Kwasniewski	0.115313
Solana	0.115248
Mkapa	0.11522
Kabariti	0.115104
"Mikhail Kasyanov"	0.114777
Barros	0.114693
"Tariq Aziz"	0.114674
Aleman	0.114291
Ashrawi	0.114258
Ahtisaari	0.113682
Valenti	0.113063
Satcher	0.112884
Fino	0.112827
Ivanov	0.112792
Chevenement	0.112064
Camdessus	0.111684
Santer	0.111681
Obeid	0.111495
Westendorp	0.111491
Napolitano	0.111351
Meissner	0.111023
Maskhadov	0.110977
Erwin	0.110797
Primakov	0.110707
Shareh	0.110525
McGuinness	0.110479
McKinnon	0.110403
Dehaene	0.110315
"Amnuay Virawan"	0.110223
Buzek	0.110181
Daft	0.110174
Patten	0.110147
Fischer	0.109979
Bulatovic	0.109972
Deuba	0.109839
Stepashin	0.10977
Gurirab	0.109262
Chubais	0.109224
Rylander	0.109098
D'Alema	0.109081
Clerides	0.109072
Azizah	0.108799
Luzhkov	0.108738
Markovic	0.108653
Chiluba	0.108555
Hekmatyar	0.108492
al-Sahhaf	0.108314
Wilhelm	0.107901
Nemtsov	0.107791
Rugova	0.107572
Aznar	0.107556
Ainge	0.107498
"Bernard Kouchner"	0.107489
Lehane	0.107477
Saleh	0.107403
Rudman	0.107345
Ben-Ami	0.107213
Butterworth	0.107209
Severino	0.107147
Solich	0.107018
Flanagan	0.106941
Alarcon	0.106716
"Charlene Barshefsky"	0.106634
Khai	0.106512
"Khaleda Zia"	0.106491
Safir	0.106367
Kuchma	0.106267
"Tareq Aziz"	0.106231
Brittan	0.106133
Schell	0.105726
Solis	0.105444
Zeroual	0.105336
Prodi	0.105273
McCurry	0.104971
Yazdi	0.104844
Eizenstat	0.104434
Menem	0.104356
Moussa	0.104227
Djukanovic	0.104131
Indyk	0.103967
Okada	0.103867
Nebiolo	0.103749
Xiang	0.103688
Ciampi	0.103623
Hariri	0.103564
Mbeki	0.103162
Aguirre	0.102846
Zou	0.102844
Sahnoun	0.102605
Dodik	0.102605
Iliescu	0.102588
Galvin	0.10246
Sumaye	0.102445
Hasina	0.102309
Beazley	0.102195
Fernandes	0.102131
"Ivan Kostov"	0.102096
Mowlam	0.102086
"John Bruton"	0.102006
"Orlando Mercado"	0.102002
Gujral	0.10199
Goldin	0.101863
Markey	0.10183
"Yossi Beilin"	0.101729
Ebersol	0.101719
Advani	0.101583
"Supachai Panitchpakdi"	0.101561
Husseini	0.101434
"Russian Foreign Ministry"	0.10139
Erbakan	0.101344
Prewitt	0.101302
Ciller	0.10111
Karimov	0.101002
Tsvangirai	0.100908
Kiriyenko	0.100896
Naumann	0.100802
Muoi	0.100627
Talbott	0.100422
Juppe	0.100261
Denktash	0.100194
Shamshad	0.100155
))
(bile (desc 3099.77) (sims
semen	0.078616
lava	0.0765929
mucus	0.0755069
vitriol	0.0702211
urine	0.0651869
floodwater	0.0635145
fluid	0.0626856
ribbing	0.0616035
cinder	0.0597828
radioactivity	0.0593309
"essential oil"	0.0584046
feces	0.0576848
soot	0.0571477
venom	0.0555465
"carbon dioxide"	0.0547526
saliva	0.0545211
moisture	0.0541162
"water vapor"	0.053814
"digestive tract"	0.0520987
"elbow room"	0.0517564
oxygen	0.051191
bleep	0.0511305
acid	0.0510887
"electric current"	0.0508443
impurity	0.0499961
adrenaline	0.0499174
nastiness	0.0492398
tritium	0.0490063
invective	0.0488742
illegals	0.0484798
rainwater	0.0484405
carbon	0.0480888
starch	0.0476602
"inferiority complex"	0.0476207
"vitamin C"	0.0474385
nitrogen	0.0468566
smut	0.0467503
marrow	0.0466852
bitterness	0.0464949
biogas	0.0461487
adrenalin	0.0460291
hydrogen	0.0459581
cockiness	0.0457494
nutrient	0.0457314
dopamine	0.044961
sinew	0.0449575
horseplay	0.0446152
"test data"	0.0444306
hGH	0.0439762
cyanide	0.0435843
Sewage	0.0435615
contaminant	0.0434556
streamer	0.0430646
plutonium	0.0429662
"chemical agent"	0.0429631
toxin	0.0429209
"carbon monoxide"	0.0419538
screed	0.0418059
sperm	0.0413935
leptin	0.0412023
MP@s	0.0411579
insulin	0.0411424
silt	0.041069
iodine	0.0410211
braggadocio	0.0409153
secretion	0.0408778
expletive	0.0406233
baloney	0.040606
dioxin	0.0405593
goofiness	0.0405294
helium	0.0401
angst	0.0400618
mischief	0.0400336
))
(bilingual (desc 936.117) (sims
"Consumer Reports"	0.069134
capella	0.0650813
"vocational education"	0.0627347
cappella	0.0575677
McMullen	0.0557721
"math teacher"	0.0549723
chiropractic	0.0548105
"special education"	0.0538738
Camus	0.0517357
"Pope John Paul"	0.0514434
gangsta	0.049694
sixth-graders	0.0483824
algebra	0.0469605
"Starr Report"	0.0462577
"Dinah Shore"	0.044786
Quintana	0.0446455
eyewear	0.0437718
"Bosnian Muslim"	0.043678
scat	0.04323
exterminator	0.0426262
small-business	0.0423866
"one line"	0.0419257
registrant	0.0417767
encyclical	0.0415267
"Rich Brooks"	0.0414289
Schell	0.0413988
constancy	0.0410643
manicurist	0.0403303
))
("Biljana Plavsic" (desc 2274.58) (sims
"Nikola Poplasen"	0.167839
Plavsic	0.159369
"Momcilo Krajisnik"	0.158362
"Martti Ahtisaari"	0.156947
"Fob James"	0.150103
"Franjo Tudjman"	0.148855
"Thabo Mbeki"	0.148773
"Sepp Blatter"	0.145475
"Jacques Santer"	0.143793
"Dennis Vacco"	0.14321
"Joao Havelange"	0.13646
"Scott Harshbarger"	0.136055
"Kim Dae Jung"	0.131155
"Mohammad Khatami"	0.131016
"Wim Duisenberg"	0.128376
Shui-bian	0.127859
"John Sweeney"	0.124022
"Alfonse D'Amato"	0.122136
"Joseph Estrada"	0.120902
"Juan Antonio Samaranch"	0.120851
"Aslan Maskhadov"	0.120847
"Ann Richards"	0.120576
"Kresimir Zubak"	0.120332
"Andres Pastrana"	0.11658
"Alija Izetbegovic"	0.116089
"B.J Habibie"	0.115906
"Lauch Faircloth"	0.109744
"Jacques Chirac"	0.107773
"Ricardo Alarcon"	0.107522
"Joaquim Chissano"	0.107156
Lissouba	0.10682
"Jamil Mahuad"	0.106475
"Dave Checketts"	0.105455
"Milorad Dodik"	0.105281
"Ernie Grunfeld"	0.102504
"Fernando Henrique Cardoso"	0.102295
"Vaclav Havel"	0.101867
"Lech Walesa"	0.101574
"Megawati Sukarnoputri"	0.100065
"Carmen Policy"	0.0993923
"Carlos Menem"	0.0993241
"David Beasley"	0.0981555
"James P. Hoffa"	0.0977404
"Buddy MacKay"	0.0974105
"Franz Beckenbauer"	0.0965123
"American Chanda Rubin"	0.0961412
"Hugo Chavez"	0.095791
"Renato Ruggiero"	0.0952486
"Krishna Prasad Bhattarai"	0.0952045
"Willie Brown"	0.0950442
"Frank Joklik"	0.0935772
"Alberto Fujimori"	0.0932327
"Shimon Peres"	0.0929256
"Abdurrahman Wahid"	0.0929075
"Ketumile Masire"	0.0922354
"Mario Cuomo"	0.091855
"Olusegun Obasanjo"	0.0918505
"Vojislav Kostunica"	0.0907073
"Ernesto Zedillo"	0.0891888
"Ibrahim Rugova"	0.0888406
"Tom Welch"	0.0872256
"Vladimir Meciar"	0.0867505
"Momir Bulatovic"	0.0866275
"Laurent Fabius"	0.086448
"Julius Nyerere"	0.0860011
"Peter Vallone"	0.0849781
Zeroual	0.0849518
"Jack Valenti"	0.0847937
"Steve Ballmer"	0.0847034
Meciar	0.0846213
"Cara Black"	0.0842983
"Francisco Labastida Ochoa"	0.0834314
"Kim Yong Nam"	0.0832986
"Russell Feingold"	0.0815469
"Chea Sim"	0.0808462
"Robert Mugabe"	0.0807001
"Paul Kagame"	0.0802205
"John Adams"	0.0802064
"Wang Daohan"	0.0801138
Bulatovic	0.0797432
"Wolfgang Schaeuble"	0.0794118
"Hafez Assad"	0.079175
Poplasen	0.0787619
"Boutros Boutros Ghali"	0.0784553
"Andrew Johnson"	0.0775628
"Pete Wilson"	0.0774273
"Secretary-General Boutros Boutros-Ghali"	0.0771242
"Bruno Megret"	0.0769979
"Radovan Karadzic"	0.076801
Klerk	0.0762998
"Bob Dole"	0.0762585
"George Bush"	0.0754673
"Jimmy Carter"	0.0747705
"Barbara Boxer"	0.074197
"Megawati Soekarnoputri"	0.0740114
"Jim Florio"	0.0738378
"Sali Berisha"	0.0738343
"Paul Patton"	0.073733
"Mitt Romney"	0.073684
"Dan Lungren"	0.0735375
"Ricardo Lagos"	0.0734755
Dae-jung	0.0726654
"Gerry Adams"	0.0717416
"Abdullah Ahmad Badawi"	0.0716012
Masire	0.0710769
"Anne Kremer"	0.0710092
"Yoweri Museveni"	0.0709087
"Michel Camdessus"	0.0705833
"American Todd Martin"	0.0704746
"Norodom Ranariddh"	0.0704414
Wahid	0.0700669
"Zhou Guangzhao"	0.0699434
Beckenbauer	0.0699286
"Lyndon B. Johnson"	0.0698796
"Charles Taylor"	0.0698305
"Gerald Ford"	0.0698184
"Nathalie Dechy"	0.0693843
"Paul Coverdell"	0.068725
"Mikhail Gorbachev"	0.068468
"Richard Nixon"	0.0683842
"Tom Johnson"	0.0682565
"Jeremy Greenstock"	0.0682166
"Phenix City"	0.0679632
"Sonia Gandhi"	0.0677849
"Boris Yeltsin"	0.0677816
"Mike Foster"	0.0677232
"Anne-Gaelle Sidot"	0.0675886
"Dick Pound"	0.0675155
"Al D'Amato"	0.0674795
Peres	0.0673542
"Girija Prasad Koirala"	0.0671853
"Elizabeth Dole"	0.0671299
"James Barksdale"	0.0670284
"Francisco Labastida"	0.0670232
"Hosni Mubarak"	0.0669363
"John Quincy Adams"	0.0664647
"Romano Prodi"	0.0663086
assemblyman	0.0661558
"Judith Wiesner"	0.0660848
Aristide	0.0660341
"Lawton Chiles"	0.0659436
"Nicole Pratt"	0.0658345
"Arnaud Clement"	0.0656449
"Harry S. Truman"	0.0656257
"Joannette Kruger"	0.0656082
Klestil	0.0655908
co-premier	0.0651818
"Pierre Buyoya"	0.0651687
Rafsanjani	0.0651172
Teng-hui	0.0649513
Diouf	0.0649002
"Hubert Humphrey"	0.0647621
"Pasteur Bizimungu"	0.0647253
Moi	0.0646552
"Vicente Fox"	0.0646525
Santer	0.0645865
"Alexander Lukashenko"	0.0645121
"David Duke"	0.0644882
Montiel	0.0644814
"Mel Karmazin"	0.0644269
"Charlton Heston"	0.0639872
"Filip Dewulf"	0.0637635
"Mobutu Sese Seko"	0.0637064
"Sjeng Schalken"	0.0635134
"Laurent Kabila"	0.0633942
Hoi-chang	0.0632842
Rua	0.0632707
"Strobe Talbott"	0.0632144
"Jean-Marie Le Pen"	0.063184
Luong	0.0630171
"Neil Smith"	0.0629725
Blatter	0.0628433
"Martin Luther King III"	0.0627147
"Vicente Fox Quesada"	0.0625952
"Victor Chernomyrdin"	0.062413
"Hu Jintao"	0.0620488
"Mohamed Siad Barre"	0.0619205
"James Jeffords"	0.0616977
"John Ashcroft"	0.0614396
Tierney	0.0614286
"Tomiichi Murayama"	0.0610884
"Sergi Bruguera"	0.060999
Sukarno	0.0608581
"Adem Demaci"	0.0608053
"Li Tieying"	0.0607768
"Grant Stafford"	0.0607725
"Richard M. Nixon"	0.060603
"Kim Il Sung"	0.0605479
"Patty Murray"	0.0603247
"Jack Gargan"	0.060306
"Richard Smith"	0.0601288
"South Vietnam"	0.0597864
Menem	0.0597552
"Andreas Vinciguerra"	0.0597396
"Leon Brittan"	0.059721
"Naoko Sawamatsu"	0.0593072
Megawati	0.0592557
"Hernan Gumy"	0.0592511
Camdessus	0.0592294
"Catalina Cristea"	0.0591546
))
(bill (desc 239033) (sims
legislation	0.308042
proposal	0.223321
measure	0.213607
amendment	0.211099
plan	0.19129
law	0.178722
budget	0.166151
package	0.156063
resolution	0.154831
"tax cut"	0.146388
provision	0.146175
Treaty	0.142682
initiative	0.140155
agreement	0.139771
program	0.138977
policy	0.130129
"tax bill"	0.127777
constitution	0.124543
deal	0.124277
regulation	0.121819
reform	0.119807
tax	0.119451
issue	0.116363
decision	0.116103
"trade bill"	0.114441
payment	0.114245
statute	0.11424
document	0.11339
Ordinance	0.1132
accord	0.112967
contract	0.109397
"Bill of Rights"	0.108701
vote	0.107322
agenda	0.106489
fee	0.10536
motion	0.105206
project	0.104937
rule	0.103135
ban	0.103003
spending	0.102835
fund	0.102664
settlement	0.102548
money	0.102444
pact	0.101138
decree	0.101088
system	0.100883
cost	0.100193
recommendation	0.100008
action	0.0990171
request	0.0989786
loan	0.0985795
change	0.0983116
guideline	0.0974778
debt	0.0974571
version	0.0973785
move	0.0973418
effort	0.0971555
report	0.0966066
funding	0.0964155
case	0.0963559
compromise	0.0950867
impeachment	0.093206
campaign	0.093033
process	0.092863
subsidy	0.0921593
statement	0.0918616
strategy	0.0915914
article	0.0913536
"gun control"	0.0913178
code	0.0908223
cut	0.0906743
referendum	0.0903614
procedure	0.0901294
"tax increase"	0.0901104
draft	0.0894707
restriction	0.0894607
scheme	0.0891209
"tax break"	0.0889936
lawsuit	0.0884542
surplus	0.0882764
increase	0.0874842
idea	0.0874117
nomination	0.0873822
overhaul	0.086673
sale	0.0866282
voucher	0.0863048
act	0.0861897
merger	0.0858932
government	0.0858611
standard	0.0858297
check	0.0855959
salary	0.0853292
price	0.0852825
bid	0.0852619
ruling	0.0847755
arrangement	0.0847173
debate	0.0845312
saving	0.0843645
offer	0.0841821
"tax credit"	0.0841051
Declaration	0.0838797
Senate	0.0835702
requirement	0.0833359
charter	0.0832095
it	0.0831398
letter	0.0829205
application	0.0826938
Congress	0.0823518
appropriation	0.0823376
option	0.0816972
question	0.0812109
list	0.0810848
book	0.0809815
revision	0.0809539
order	0.0809223
matter	0.0807298
petition	0.0805158
protocol	0.0805147
blueprint	0.0802225
sanction	0.0800173
charge	0.0799195
reduction	0.0798467
"Proposition @@@"	0.0795955
rate	0.0795512
inquiry	0.0794201
problem	0.0790621
purchase	0.0789902
expense	0.0788925
AD	0.0786737
limit	0.0785334
claim	0.0785276
record	0.0784494
benefit	0.0784339
grant	0.0784331
account	0.0781043
censure	0.0780935
product	0.0779299
priority	0.0777438
amount	0.0777063
aid	0.0776278
approval	0.0774402
"income tax"	0.0773485
Clinton	0.0773368
revenue	0.0772413
approach	0.0772344
demand	0.0772018
rent	0.0771661
expenditure	0.0766582
passage	0.0764426
investment	0.0763654
contribution	0.0762801
income	0.0762144
number	0.0759462
that	0.0758967
wage	0.0755296
candidate	0.0754369
"budget cut"	0.0754313
transaction	0.0753202
service	0.0751344
business	0.0750413
directive	0.07497
paper	0.0749694
commission	0.0747458
card	0.074655
solution	0.0745596
pledge	0.0745035
clause	0.0744776
committee	0.0744507
appointment	0.0742352
study	0.0741521
election	0.0740875
ticket	0.074072
speech	0.0738991
state	0.0738172
pay	0.0736428
work	0.0735773
bailout	0.0735579
support	0.0734692
negotiation	0.0733409
note	0.0732918
medicare	0.0731187
Republican	0.0730411
donation	0.0728458
withdrawal	0.0726185
financing	0.0725542
insurance	0.0723418
this	0.0722816
education	0.0722644
pension	0.0722124
abortion	0.0721493
alternative	0.0720767
term	0.0720092
use	0.0718842
"trade agreement"	0.071788
"spending cut"	0.0717807
company	0.0716413
repeal	0.0716157
credit	0.0715236
Bush	0.0714986
right	0.0714475
))
("Bill Archer" (desc 4697.34) (sims
"Lamar Smith"	0.320727
"Henry Bonilla"	0.243965
"Kay Bailey Hutchison"	0.240293
"Ron Paul"	0.24001
"Dan Miller"	0.237951
"Majority Whip Tom DeLay"	0.221074
"Tom DeLay"	0.209743
"Phil Gramm"	0.208582
"House Majority Whip Tom DeLay"	0.189639
"Sheila Jackson Lee"	0.184714
"Dan Burton"	0.182144
"Martin Frost"	0.181502
"Tony Coelho"	0.179204
"Dick Armey"	0.176556
"J.C. Watts"	0.176312
"John Boehner"	0.17301
"Benjamin Gilman"	0.17153
"Jim Leach"	0.169762
"Porter Goss"	0.169251
"Christopher Cox"	0.166977
"Henry Hyde"	0.164364
"David Dreier"	0.162239
"Charles Canady"	0.160632
"Charles Stenholm"	0.154151
"Jim Nicholson"	0.152901
"William Roth"	0.152509
"James Sensenbrenner"	0.149783
"Billy Tauzin"	0.149269
"Christopher Shays"	0.148104
"John Shalikashvili"	0.148041
"Jim Kolbe"	0.144498
"Connie Mack"	0.142892
"Curt Weldon"	0.142089
"Jesse Helms"	0.140491
"Bill Thomas"	0.139246
"John Linder"	0.139115
"Jim Turner"	0.13907
"Don Young"	0.13854
"Steve Largent"	0.135355
"Tom Campbell"	0.133649
"Lloyd Doggett"	0.131008
"John Warner"	0.130971
"Archbishop Desmond Tutu"	0.127739
"John Kasich"	0.126521
"Orrin Hatch"	0.126118
"Bob Barr"	0.12395
"Mark Foley"	0.12383
"Lee Hamilton"	0.123284
"Arthur Levitt"	0.122076
"Tom Davis"	0.121036
"Patrick Kennedy"	0.120851
"Martin Meehan"	0.118977
"Charlie Norwood"	0.117415
"Roy Romer"	0.117175
"Sumner Redstone"	0.117036
"Henry Shelton"	0.116876
"Bob Livingston"	0.116712
"Bill McCollum"	0.114182
R-Texas	0.113674
"George Gekas"	0.113433
"Jack Gargan"	0.113077
"Hugh Shelton"	0.112333
"Pete Domenici"	0.111637
Archer	0.111583
"Charles Rangel"	0.111528
"Gerald Levin"	0.111018
"Richard Lugar"	0.108468
"M. Douglas Ivester"	0.108424
"John Breaux"	0.107318
"Bernard Sanders"	0.106415
"William Daley"	0.106023
"George Miller"	0.105536
"Tom Coburn"	0.104836
"John Conyers"	0.104756
Gramm	0.104579
"Linda Smith"	0.104543
"Tillie Fowler"	0.103698
"Nur Misuari"	0.103564
"Fred Upton"	0.102057
"Julian Bond"	0.100991
"Zoe Lofgren"	0.100919
"Carolyn McCarthy"	0.100887
"Christopher Smith"	0.100351
"Tom Johnson"	0.100004
"Richard Shelby"	0.0997635
"Amien Rais"	0.0993466
"Matt Salmon"	0.0990858
"Yegor Stroyev"	0.0988782
"Jennifer Dunn"	0.0988332
"Marzuki Darusman"	0.0987991
"Barney Frank"	0.0987493
"Nancy Pelosi"	0.0983836
R-Del.	0.0982872
"Henry H. Shelton"	0.0981659
"Peter King"	0.0975656
"Arlen Specter"	0.0975094
"George Mitchell"	0.097315
"Henry Waxman"	0.0972631
"Maxine Waters"	0.0963821
"John Dingell"	0.0962816
"Martin Lee"	0.09622
"Jerrold Nadler"	0.0959894
"George Nethercutt"	0.0950643
"Jack Welch"	0.0949472
"Mitch McConnell"	0.0948394
"Asa Hutchinson"	0.0944184
"Daniel Patrick Moynihan"	0.0944039
"Jose Serrano"	0.0941639
R-N.M.	0.0938013
"Fred Thompson"	0.0932926
"Chea Sim"	0.0930703
"Robert E. Rubin"	0.0924397
"Yossi Sarid"	0.0918164
"Than Shwe"	0.091655
"Lindsey Graham"	0.0909174
"Desmond Tutu"	0.0908664
"Oskar Lafontaine"	0.09019
"Ted Stevens"	0.0901217
"Qiao Shi"	0.0900137
"Robert Livingston"	0.0898166
"Li Ruihuan"	0.0897414
"Jack Quinn"	0.0892979
"Bob Smith"	0.0888084
"Edward M. Kennedy"	0.088635
"Alija Izetbegovic"	0.0886042
"Bob Franks"	0.0885324
"Lawrence Summers"	0.0882137
Harmoko	0.0881929
"Charles Dolan"	0.0881912
R-Ala.	0.0881741
"Nita Lowey"	0.0875715
"Steve Chabot"	0.0874104
"Carolyn Maloney"	0.0872847
"Michael Eisner"	0.0869764
"Spencer Abraham"	0.0864461
R-Wis.	0.0862777
"Alan Greenspan"	0.0861002
"Steve Case"	0.0859271
"James Rogan"	0.0850442
"Jim Bunning"	0.0847623
"Michel Camdessus"	0.0844345
"Tommy Thompson"	0.084231
"Dick Pound"	0.0842098
"Slade Gorton"	0.0829161
Leavitt	0.0828629
"Cheng Siwei"	0.081943
"Ed Bryant"	0.0819132
"Sam Brownback"	0.0817419
"John Lewis"	0.0814617
"Tian Jiyun"	0.0808147
"Zhou Guangzhao"	0.0807883
"Paul Coverdell"	0.0803914
Armey	0.0801099
"Mary Bono"	0.08001
"Trent Lott"	0.079913
"Frank Lautenberg"	0.079584
"Jonas Savimbi"	0.0794005
R-N.C.	0.0791477
"Gennady Seleznyov"	0.0791118
"Jack Smith"	0.078063
"John Chafee"	0.0779178
"Jerry Reinsdorf"	0.0775743
"Charles E. Schumer"	0.0774862
R-Alaska	0.0774062
"Robert Menendez"	0.0773965
"Faisal Husseini"	0.0773714
"Robert Aventajado"	0.0773679
"John Connally"	0.0772417
"Mike DeWine"	0.0770358
"Mike Foster"	0.0767563
"Rick Perry"	0.076667
"Barry Diller"	0.0765764
"Sherwood Boehlert"	0.0761928
"Jim Hunt"	0.07609
"John Sweeney"	0.0757519
"Li Peng"	0.0751951
"Warren Rudman"	0.0746217
R-Va.	0.0745509
"Mel Karmazin"	0.0744257
"Greg Ganske"	0.0742479
"Tomiichi Murayama"	0.0741213
"Chris Smith"	0.0740882
R-Ill.	0.0737622
"Lloyd Bentsen"	0.0735307
"Pete Wilson"	0.0730494
"Wang Daohan"	0.0724769
"Jim McDermott"	0.0722342
"Gene Sperling"	0.0722016
"Mesut Yilmaz"	0.0721163
"Don Nickles"	0.0720482
"Vaclav Klaus"	0.0717595
R-Fla.	0.0717351
"President Lee Teng-hui"	0.0717343
"Robert Torricelli"	0.071709
"Rod Grams"	0.0712726
Councilman	0.0710938
"Bulent Ecevit"	0.0709968
"Marge Roukema"	0.0706748
"Jacques Santer"	0.0706472
"Huang Ju"	0.0705679
))
("Bill Belichick" (desc 6544.68) (sims
Belichick	0.238986
"Al Groh"	0.2311
"Rich Brooks"	0.216936
"Brian Billick"	0.216642
"Dom Capers"	0.193738
"Dave Campo"	0.193351
"Mike Martz"	0.18035
"Mike Shanahan"	0.172345
"Dick Jauron"	0.168625
"Chris Palmer"	0.168248
"TOM COUGHLIN"	0.163882
Groh	0.163371
"Dave McGinnis"	0.160651
"Chan Gailey"	0.157968
"Dave Wannstedt"	0.151496
"Tim Floyd"	0.148974
"Jimmy Johnson"	0.145304
"John Fox"	0.141514
"Bill Parcells"	0.141007
"Kurt Rambis"	0.137384
"Gary Kubiak"	0.136238
"Pete Carroll"	0.132766
"Mike Holmgren"	0.132127
"Dan Reeves"	0.131454
"Bora Milutinovic"	0.127966
"Bela Karolyi"	0.127556
"Phil Jackson"	0.125091
"Ray Rhodes"	0.122505
"Dennis Erickson"	0.12176
"Mike Ditka"	0.120822
"Hans von Sponeck"	0.119347
"Dick Vermeil"	0.11767
Jauron	0.116594
Parcells	0.11222
Billick	0.110815
"Ernie Zampese"	0.109827
"Pat Riley"	0.108896
"Tex Winter"	0.107307
Holmgren	0.10446
"Norv Turner"	0.103468
Shanahan	0.103365
Fassel	0.101279
Harrick	0.100255
"Don Shula"	0.098722
"Lenny Wilkens"	0.0986905
Neuheisel	0.0984549
Ponciano	0.0983767
Martz	0.0975103
"Scotty Bowman"	0.0972948
"line coach"	0.0959884
"Wolfgang Schaeuble"	0.0955506
"John Smith"	0.0942506
Ribbeck	0.0932583
Gailey	0.0929989
"Bob Kraft"	0.092483
"June Jones"	0.0920358
Coughlin	0.0919409
"Don Zimmer"	0.0919111
Carroll	0.0915303
"Don Baylor"	0.0912226
"Jim Harrick"	0.0892493
"Dennis Johnson"	0.0889732
Wannstedt	0.0886218
"Paul Silas"	0.0885251
Reeves	0.0884404
"Del Harris"	0.0882379
"Pat Burns"	0.0881998
"Bill Cowher"	0.0864682
Monson	0.0860493
Shurmur	0.0847257
"Bill Walsh"	0.0844807
"John Thompson"	0.0831838
"Mike Krzyzewski"	0.0829602
Tobin	0.0829044
Talebi	0.0828996
"George Seifert"	0.0826865
Campo	0.0826507
Milutinovic	0.0801632
"Willie Randolph"	0.0795745
Sampson	0.079298
Spurrier	0.0792575
"John Robinson"	0.0787689
Donnan	0.0784724
"Rick Neuheisel"	0.078402
"Rudy Tomjanovich"	0.0783044
Vermeil	0.077346
"Joe Gibbs"	0.0771633
Sather	0.0770094
"Rick Pitino"	0.0769549
McGinnis	0.076282
"Neil Smith"	0.0760257
"Chuck Daly"	0.075469
"Jeff Van Gundy"	0.0753522
Landry	0.0752063
"Dean Smith"	0.0751561
Bowden	0.0748684
"Bryan Cox"	0.0746944
"John Calipari"	0.0744813
"Lou Holtz"	0.0739716
Slocum	0.0736862
"Vinny Testaverde"	0.0733342
"P.J Carlesimo"	0.0731781
"Tony Dungy"	0.0729646
"Glenn Foley"	0.0722424
Riley	0.0719805
"Ruud Gullit"	0.0713611
Scioscia	0.0711664
Holtz	0.0708841
"Curtis Martin"	0.070803
"Dennis Green"	0.0705042
"Steve Mariucci"	0.0701153
"Keyshawn Johnson"	0.0698337
"Doc Rivers"	0.0696593
"Bobby Bowden"	0.0681039
Schaeuble	0.0676717
"Jim Leyland"	0.0674475
"Van Gundy"	0.0672401
Popovich	0.0667583
Wilkens	0.0660736
Haskins	0.0657578
Bubb	0.0656949
"Tom Landry"	0.0651121
Silas	0.0649469
Franchione	0.0647787
"Barry Switzer"	0.0647056
"Terry Allen"	0.0646774
"Vince Lombardi"	0.0645911
Lavin	0.063895
"Dave Cowens"	0.0637835
"Joe Namath"	0.0634016
Pitino	0.0629701
"Larry Bird"	0.0624537
"Paul Westphal"	0.0622579
"Ray Lucas"	0.0620234
Schottenheimer	0.0618032
Testaverde	0.0615159
"Jumbo Elliott"	0.0612396
"Robert Ray"	0.0611044
Rhodes	0.0607619
"Butch Carter"	0.0605982
"Mike Dunleavy"	0.0605937
"Glenn Hoddle"	0.0605418
"Rich Rodriguez"	0.0604756
Rambis	0.0603711
Leyland	0.0603165
"Roy Williams"	0.0602956
Ditka	0.0600436
Zico	0.059965
Cowens	0.0599497
"Tommy Bowden"	0.059576
Gibbs	0.0594854
Zimmer	0.0592605
"Don Nelson"	0.0591389
Seifert	0.0589477
Casserly	0.0587097
Symington	0.0581873
"Red Auerbach"	0.058034
Keady	0.057998
Donahue	0.0578039
"Jim Calhoun"	0.057771
Fulmer	0.0577091
Karolyi	0.0575791
"Mo Lewis"	0.0575358
"Colin Campbell"	0.0573192
O'Donnell	0.0569739
Tomey	0.0567858
Skiles	0.0567158
Krzyzewski	0.0565969
DeBerg	0.0565139
Layden	0.0563881
Waddell	0.055968
"Bob Livingston"	0.0553938
Barnett	0.0553872
Vogts	0.0552243
Snyder	0.0551385
Romar	0.055122
"Kevin Keegan"	0.054785
Catacosinos	0.0547091
Schmid	0.0545912
Passarella	0.054513
"Bob Knight"	0.0542914
"Dennis Ross"	0.0542718
Walsh	0.0542165
Lombardi	0.0541703
"Jeff Garcia"	0.0541199
Zambrano	0.0540786
"Tom Tupa"	0.0540186
"Willie McGinest"	0.0536418
Coelho	0.0532187
Dave	0.0531896
"George Karl"	0.052663
Osborne	0.0525045
Evans	0.052319
"Ken Hitchcock"	0.0521296
"Dwight Clark"	0.0520388
Sloan	0.0519255
Meggett	0.0518457
McKeon	0.0517425
Baylor	0.0516268
Davie	0.0514521
))
("Bill Blass" (desc 2057.31) (sims
"Giorgio Armani"	0.214362
"Michael Kors"	0.213661
"Ralph Lauren"	0.192047
"Donna Karan"	0.191811
"Marc Jacobs"	0.189695
"John Bartlett"	0.184504
Armani	0.173677
"Christian Dior"	0.168532
"Tommy Hilfiger"	0.156082
"Calvin Klein"	0.151909
DKNY	0.148838
"Isaac Mizrahi"	0.144772
"Helmut Lang"	0.143286
"Yves Saint Laurent"	0.141866
Renta	0.123763
"Betsey Johnson"	0.119507
Valentino	0.111459
"Miuccia Prada"	0.108557
"Tom Ford"	0.104482
Versace	0.10388
Chanel	0.103743
"Liz Claiborne"	0.0985049
Gucci	0.090295
"Jil Sander"	0.0892675
"Christian Lacroix"	0.0873092
"Gianni Versace"	0.0870661
"J. Crew"	0.0836306
"John Galliano"	0.0823513
Galliano	0.0817388
"Dolce &AMP; Gabbana"	0.0800561
Givenchy	0.0786083
"haute couture"	0.0782613
"Karl Lagerfeld"	0.0775738
Dior	0.0749689
Halston	0.0734116
Fubu	0.0724977
Fendi	0.0712743
COUTURE	0.0707921
"Alexander McQueen"	0.0699661
Prada	0.0665632
"Brooks Brothers"	0.0663962
"Louis Vuitton"	0.0650514
denim	0.0644965
menswear	0.0617647
eyewear	0.0613861
Gaultier	0.0597439
Nordstrom	0.0595537
Celine	0.0587117
Lancome	0.0566907
"Saint Laurent"	0.0557853
flack	0.0544491
"Beanie Baby"	0.0544382
HERMES	0.0541307
Blass	0.0536714
adidas	0.0535519
photocopier	0.0524931
Spring/Summer	0.0524873
Barneys	0.0519701
"writing desk"	0.0512023
tweed	0.0502158
Chloe	0.048857
tuxedo	0.0480866
hosiery	0.0480026
Levi's	0.0478397
"sports jacket"	0.0476684
"Paul Simon"	0.0472978
"Saks Fifth Avenue"	0.0465478
"Eddie Bauer"	0.0462493
Annette	0.0459574
"powder blue"	0.045546
Karan	0.0452067
major-leaguers	0.0450878
"Bob Marley"	0.0450586
cardigan	0.0450382
SETTLES	0.0442507
"Sarah Ferguson"	0.0434679
"baseball card"	0.0433605
Cartier	0.0433132
"Estee Lauder"	0.0433062
Saatchi	0.0432447
weatherman	0.0427653
"navy blue"	0.0426408
worn	0.0417605
"blue jean"	0.0415585
legging	0.041424
sportswear	0.0413383
Remington	0.0411707
feeler	0.0410207
))
("Bill Bradley" (desc 40059.1) (sims
"John McCain"	0.248844
Bradley	0.245421
"George W. Bush"	0.231738
"Steve Forbes"	0.212212
"Al Gore"	0.210938
"Elizabeth Dole"	0.193846
"Bob Dole"	0.186653
McCain	0.183153
gore	0.176462
"Pat Buchanan"	0.17495
Bush	0.167857
DOLE	0.167227
"Gary Bauer"	0.163405
"Hillary Rodham Clinton"	0.158598
"Dan Quayle"	0.156556
"Lamar Alexander"	0.156163
"Alan Keyes"	0.154358
"Rick Lazio"	0.152307
Forbes	0.144624
"George Bush"	0.139485
"vice president"	0.137349
Giuliani	0.137105
"Joseph Lieberman"	0.133752
senator	0.13364
"Joe Lieberman"	0.132737
"Republican George W. Bush"	0.128354
"Hillary Clinton"	0.126041
candidate	0.125533
Quayle	0.124615
"Alejandro Toledo"	0.123916
"Democrat Al Gore"	0.122897
"Patrick Buchanan"	0.122742
"Orrin Hatch"	0.120577
"Garry Mauro"	0.120094
"Gary Hart"	0.119581
"Michael Dukakis"	0.119388
front-runner	0.119319
"Ralph Nader"	0.118698
Nader	0.118365
"Charles Schumer"	0.118298
Buchanan	0.116848
"Jim Florio"	0.115514
Lieberman	0.115491
Schumer	0.112914
challenger	0.110798
Lazio	0.110116
Bauer	0.108519
Mauro	0.107947
Pataki	0.107275
"Vojislav Kostunica"	0.106066
"John Kasich"	0.105927
"Gray Davis"	0.105233
"Robert Torricelli"	0.104921
Democrat	0.104836
"first lady"	0.104134
"George Pataki"	0.104125
Governor	0.10389
"Dan Lungren"	0.103868
rival	0.102847
Labastida	0.102514
"Bob Smith"	0.102264
"Jack Kemp"	0.101866
D'Amato	0.100068
"Barry Goldwater"	0.0997141
"Ross Perot"	0.0986025
Florio	0.098583
"Dick Cheney"	0.0982403
"Jon Corzine"	0.0980383
"Bob Franks"	0.0979927
"Democrat Bill Bradley"	0.0975166
Lungren	0.0970053
"John Ashcroft"	0.096844
Clinton	0.0964267
Vallone	0.0955651
"Scott Harshbarger"	0.0954486
Republican	0.0949344
"Christie Whitman"	0.0946777
"Bill Clinton"	0.0940715
"Walter Mondale"	0.0938473
"Barbara Boxer"	0.0938146
incumbent	0.093166
opponent	0.0930588
Cellucci	0.0927689
Mayor	0.0918416
Keyes	0.0918126
"Phil Gramm"	0.09153
Corzine	0.0912582
"George McGovern"	0.09103
Netanyahu	0.0908606
"Daniel Patrick Moynihan"	0.0902166
"Frank Lautenberg"	0.0901282
contender	0.0900357
Gramm	0.0898319
"Bob Kerrey"	0.0897342
Kerry	0.0895331
"Colin Powell"	0.0888187
nominee	0.0886835
"Peter Vallone"	0.08697
"John Hagelin"	0.0866541
"Vicente Fox"	0.0862995
"John Kerry"	0.0857063
"Francisco Labastida"	0.0850586
"Dianne Feinstein"	0.08478
"Geraldine Ferraro"	0.0846233
Zyuganov	0.0843189
"Ted Kennedy"	0.0840212
Madrazo	0.0839711
"Jeb Bush"	0.0839074
"Russell Feingold"	0.0837127
Torricelli	0.0836177
Ammiano	0.08269
"Gennady Zyuganov"	0.0825527
Hillary	0.0821105
"Rudy Giuliani"	0.0820893
Congressman	0.0811186
frontrunner	0.0809459
"Ann Richards"	0.0801478
"Jesse Jackson"	0.0795925
"Gerhard Schroeder"	0.0791134
Kasich	0.078562
Whitman	0.0781488
"Joseph I. Lieberman"	0.0777594
Gephardt	0.0776369
"Paul Tsongas"	0.0775567
"Paul Wellstone"	0.0770529
"Russ Feingold"	0.0768087
Hoffa	0.0761566
Feinstein	0.0758939
Ashcroft	0.0758131
"Edward Kennedy"	0.0756998
"Mitch McConnell"	0.0756178
conservative	0.0754877
Lott	0.0754502
Harshbarger	0.0754233
Perot	0.0752892
"George W."	0.0751333
"Jesse Ventura"	0.0749673
"Edward M. Kennedy"	0.0746491
Alexander	0.074335
Carnahan	0.0739906
Dukakis	0.0736303
"Patrick J. Buchanan"	0.0733966
Cheney	0.0732952
"Eliot Spitzer"	0.0728025
Kennedy	0.072737
"Tom Harkin"	0.0724301
"Donald Trump"	0.0723106
MacKay	0.0722226
hatch	0.0720135
Spitzer	0.0714726
Schroeder	0.0714466
lawmaker	0.0713854
Putin	0.0711225
"Mario Cuomo"	0.0705976
R-Ariz.	0.0701892
"Ronald Reagan"	0.0701499
"Tom Campbell"	0.0699122
Gingrich	0.0698818
"Megawati Sukarnoputri"	0.0698631
"Mel Carnahan"	0.0698482
Barak	0.0697609
"Shimon Peres"	0.0695873
"running mate"	0.0695425
"Benjamin Netanyahu"	0.0693598
"Cuauhtemoc Cardenas"	0.069298
"Tipper Gore"	0.06921
"Democratic Party"	0.0686961
congressmen	0.0685909
McCall	0.0683038
"Rudolph Giuliani"	0.0680625
Estrada	0.0679261
franks	0.0677034
treasurer	0.0676819
Helms	0.0672271
Feingold	0.0670963
Hastert	0.0670554
"Paul Coverdell"	0.0669105
Moynihan	0.0668822
Kohl	0.0665333
Tipper	0.0663927
"Roy Barnes"	0.0658925
"Bob Graham"	0.065779
Kostunica	0.0655514
GOP	0.0653787
"Republican Party"	0.0653409
"Evan Bayh"	0.0651972
hopefuls	0.0651312
"Carl Levin"	0.064949
Peres	0.0649456
Noboa	0.0645933
"Patrick Leahy"	0.0642755
Ferraro	0.0638924
"Joseph Biden"	0.0633475
Chernomyrdin	0.06334
Cuomo	0.063309
voter	0.0633059
Fong	0.0633021
Daschle	0.0632304
"Jesse Helms"	0.0630565
"John Edwards"	0.0628421
))
("Bill Buckner" (desc 1391.27) (sims
"Mark Loretta"	0.139227
Beltre	0.105659
"Lenny Harris"	0.102833
"Brian Hunter"	0.101826
"Richie Sexson"	0.099177
"Ron Coomer"	0.098565
"Davey Lopes"	0.0961288
Vidro	0.0948504
"Derrek Lee"	0.0930496
"Paul Konerko"	0.0919579
"Adrian Beltre"	0.0911559
"Ron Gant"	0.0909518
"Kevin Young"	0.089071
"Randall Simon"	0.0890002
"Al Martin"	0.0870069
"Eric Karros"	0.0868723
"Raul Ibanez"	0.0868445
"Steve Garvey"	0.0866232
"Mark Grace"	0.0853626
"Cecil Fielder"	0.0850552
"Jose Offerman"	0.0815306
"Glenn Hoffman"	0.081452
"Todd Zeile"	0.080057
"Manny Alexander"	0.0792808
DeShields	0.078905
"John Mabry"	0.0788856
"Carlos Lee"	0.0783862
"Tony Graffanino"	0.0782682
"Daryle Ward"	0.0771448
"Jeremy Giambi"	0.0763612
"Chad Curtis"	0.0756679
"Craig Paquette"	0.0753891
Knoblauch	0.0750134
"Brant Brown"	0.0741158
"Danny Bautista"	0.0738517
"Scott Spiezio"	0.073376
"Ryan Klesko"	0.0732786
"Kirk Gibson"	0.0732143
"Butch Huskey"	0.0726774
"Lee Stevens"	0.0724849
Bautista	0.0720112
"David Ortiz"	0.0718676
"Jeff Bagwell"	0.0712628
fielder	0.0708578
"Pat Burrell"	0.0706533
"World Women"	0.0697185
Sadler	0.0695812
"Fred McGriff"	0.0694319
"Erubiel Durazo"	0.0691141
"Alex Cora"	0.0690374
"Cristian Guzman"	0.0686206
Blum	0.068429
Huskey	0.0682293
"Dmitri Young"	0.0682166
"Russ Davis"	0.067929
"Guy Hebert"	0.0678034
"Fred Claire"	0.0675796
hodgson	0.0673846
"Don Sutton"	0.0673616
Batista	0.0665486
"Matt Mieske"	0.0658531
"Craig Counsell"	0.0653312
"Lance Berkman"	0.0650147
"Jeff King"	0.0641346
"Darin Erstad"	0.0633928
"David Segui"	0.0631485
"Matt Luke"	0.0629623
"Brian Giles"	0.0626074
"Andy Fox"	0.0625616
"Mike Sweeney"	0.0623813
"Johnny Damon"	0.0618809
"Ozzie Guillen"	0.0618339
"George Burns"	0.0616638
Valentin	0.0616151
"Henry Rodriguez"	0.0614808
"Mike Stanley"	0.0605782
"Warren Morris"	0.0605461
Karros	0.0598399
Lieberthal	0.0596473
"Wil Cordero"	0.059425
Furcal	0.0590043
Bichette	0.0588239
Klesko	0.0586486
"Rico Brogna"	0.0585411
"John Valentin"	0.0584639
"Dave Hansen"	0.0579746
"Sean Casey"	0.0577811
"Cliff Floyd"	0.0574895
"J.T Snow"	0.0574485
"Mark Grudzielanek"	0.0574083
"Ed Sprague"	0.0573419
"Gary Sheffield"	0.0573113
"Brad Fullmer"	0.0571025
"Jeff Huson"	0.0570478
"Desi Relaford"	0.0569194
"Kevin Elster"	0.0569072
"Angel Pena"	0.0568749
"Marty Cordova"	0.0568576
"Chuck Knoblauch"	0.0567735
"John Harrington"	0.0564652
"Tony Perez"	0.0563561
"Greg Colbrunn"	0.0560079
"Rickey Henderson"	0.0559836
"Reggie Sanders"	0.0557162
Zeile	0.0556582
"Luis Gonzalez"	0.0552972
"Gary Gaetti"	0.0552355
farmhand	0.0550133
"Reggie Jefferson"	0.0549544
"Darren Bragg"	0.0540439
"Jeff Conine"	0.0537276
"Vladimir Guerrero"	0.0536153
"Scott Brosius"	0.0535641
"Jim Thome"	0.0534312
"Trenidad Hubbard"	0.0533425
"Roberto Alomar"	0.0531798
"Bill Spiers"	0.0531095
"Moises Alou"	0.0529742
"Pee Wee Reese"	0.0528124
Merloni	0.0519625
Cirillo	0.0518604
"Orlando Palmeiro"	0.0518086
"Chad Kreuter"	0.0514745
"Fernando Vina"	0.0513259
"Troy O'Leary"	0.051298
"Tony Clark"	0.05125
"David Dellucci"	0.050385
Hatteberg	0.0499126
Briere	0.0498655
Glaus	0.0495098
"Shane Spencer"	0.0490771
"Geoff Jenkins"	0.0485209
Delgado	0.0482774
Baerga	0.048195
"Tyler Houston"	0.0481403
Guillen	0.0480971
Larkin	0.047959
"Luis Castillo"	0.0476241
Elster	0.0474001
Alomar	0.0471581
"Mike Simms"	0.0470466
"Walt Weiss"	0.0470194
Guzman	0.0466018
"Jorge Campos"	0.0463705
Counsell	0.0462895
"Dennis Eckersley"	0.0461014
"Todd Hollandsworth"	0.0457838
"Benji Gil"	0.0457351
Renteria	0.0456337
"Damon Buford"	0.0456177
"Bruce Aven"	0.0454585
Mabry	0.0454178
"Rusty Greer"	0.0453665
Pruett	0.0453486
Buford	0.0449714
Grudzielanek	0.0449656
Vernon	0.0449545
"Bill Walton"	0.0448757
Girardi	0.0448391
"Garrison Hearst"	0.0446638
"Ray Lankford"	0.0446346
Chastain	0.0446323
"Volleyball Grand Prix"	0.0445923
Astaire	0.044575
"Richard Hidalgo"	0.0445433
"Tim Bogar"	0.0444212
Velarde	0.0442814
"Bobby Phills"	0.0440725
"Sandy Koufax"	0.0438271
"Mike Lamb"	0.0437997
"Luis Polonia"	0.0437991
"Shannon Stewart"	0.0437989
Storr	0.0437764
"Matt Lawton"	0.0436977
"Hurricane Andrew"	0.0435494
Elam	0.0434153
"Glenallen Hill"	0.0431967
Suker	0.0431917
"de Charette"	0.0431384
Schoenfeld	0.0428466
"Scott Rolen"	0.0427391
"Tiki Barber"	0.0427364
"Stan Collymore"	0.0426471
"Willis Reed"	0.0426464
"Sean Berry"	0.0426176
Brunell	0.0422613
Lambright	0.0420461
linesman	0.041966
"Michael Redd"	0.041919
"John Vander Wal"	0.0418634
Duffy	0.0417884
Thresher	0.0416655
Bragg	0.041579
"Bobby Orr"	0.041318
Newsome	0.0413073
"Jose Hernandez"	0.0412763
"Andruw Jones"	0.0411732
"Benny Agbayani"	0.0410239
"Rob Ducey"	0.0410011
Ainge	0.0409689
))
("Bill Clinton" (desc 61004.6) (sims
Clinton	0.175721
"George Bush"	0.159117
"Ronald Reagan"	0.142827
"Al Gore"	0.142343
"Richard Nixon"	0.125495
"George W. Bush"	0.124536
President	0.124281
Bush	0.116176
"Jimmy Carter"	0.11614
"Gerald Ford"	0.113271
gore	0.113196
Reagan	0.109323
"John McCain"	0.108271
"Bob Dole"	0.106928
McCain	0.103375
Yeltsin	0.101747
"Michael Dukakis"	0.10119
Nixon	0.100507
"Walter Mondale"	0.09963
"Boris Yeltsin"	0.0975868
Bradley	0.0957339
"Hillary Clinton"	0.095471
"vice president"	0.0954298
"Bill Bradley"	0.0940715
"Newt Gingrich"	0.0925708
Putin	0.089214
Gingrich	0.0885174
"John F. Kennedy"	0.0879285
"Hillary Rodham Clinton"	0.087597
DOLE	0.0868834
"Elizabeth Dole"	0.0867363
"William Jefferson Clinton"	0.0850999
Kennedy	0.0845671
Giuliani	0.0844524
"Andrew Johnson"	0.0842715
Kohl	0.0833296
"first lady"	0.0824869
"Mikhail Gorbachev"	0.0823539
senator	0.0821982
"Vladimir Putin"	0.0820107
"Lyndon Johnson"	0.0810315
Mayor	0.0809742
"Pat Buchanan"	0.0806796
Hillary	0.0806371
"Fidel Castro"	0.0794596
Republican	0.0791945
him	0.0790373
"Jacques Chirac"	0.0789587
Governor	0.0786377
candidate	0.0785741
"Dwight Eisenhower"	0.0783881
Netanyahu	0.0767501
"Jerry Brown"	0.0765431
"Dan Quayle"	0.0763081
"George McGovern"	0.0761685
"Pete Wilson"	0.0754537
Chavez	0.0751568
Quayle	0.0749238
"Steve Forbes"	0.0747508
"Nelson Mandela"	0.0746406
"Thabo Mbeki"	0.074247
Clintons	0.0740061
"George W."	0.0738517
father	0.0737451
politician	0.0737005
Democrat	0.0736906
"Monica Lewinsky"	0.0733064
Pataki	0.0731232
"Gray Davis"	0.0725043
Mandela	0.0723416
Lieberman	0.0723118
Castro	0.0721967
"Joe Lieberman"	0.0720961
Cardoso	0.0720624
Milosevic	0.0720408
husband	0.0718349
D'Amato	0.0715136
Menem	0.0711573
leader	0.070453
"Jesse Ventura"	0.0703603
"Saddam Hussein"	0.0702849
Cellucci	0.0702755
Obasanjo	0.0699004
her	0.0694883
man	0.0693383
Forbes	0.0693148
"Ken Starr"	0.0688851
Estrada	0.0688824
Kim	0.0686157
Zedillo	0.0683566
Obuchi	0.0680322
Schroeder	0.0679301
Rafsanjani	0.0678981
Suharto	0.067855
Khatami	0.0674223
Mbeki	0.0674178
Wahid	0.0670281
Buchanan	0.0670149
Assad	0.066623
Mugabe	0.0665196
Fujimori	0.0661918
"George Pataki"	0.0660632
"Harry Truman"	0.0660517
"Linda Tripp"	0.065915
Barak	0.0657912
"Jeb Bush"	0.0657562
anyone	0.0655406
himself	0.0652997
"John Kennedy"	0.0651635
someone	0.0651179
Samaranch	0.0648779
"Ann Richards"	0.0648535
Jefferson	0.0647799
"Rudy Giuliani"	0.0646177
Samper	0.0643709
Habibie	0.0642452
me	0.0642451
Lee	0.0639706
"Gary Hart"	0.0639077
Lukashenko	0.0636407
Saddam	0.063463
Arafat	0.0634448
pope	0.0634342
Lewinsky	0.0634051
Carter	0.0632789
"Benjamin Netanyahu"	0.0632486
nominee	0.0631943
you	0.0629871
"Keizo Obuchi"	0.0628427
Moi	0.0627341
Schumer	0.0626924
"Lamar Alexander"	0.0625623
Johnson	0.0625468
Dukakis	0.0620628
"Bill Gates"	0.0619332
"Theodore Roosevelt"	0.0617989
"Ross Perot"	0.0617579
"Tony Blair"	0.0614235
Speaker	0.0613599
Chancellor	0.061357
Cheney	0.0612888
Starr	0.0611798
"Rick Lazio"	0.0610717
Blair	0.0609889
"Dick Cheney"	0.0602485
"Jack Kemp"	0.0602314
front-runner	0.0597465
Primakov	0.0595233
Davis	0.0595114
Carnahan	0.0593128
"George Washington"	0.059275
Hoffa	0.0591145
"Ehud Barak"	0.059089
Monica	0.0589205
Chirac	0.058907
Ventura	0.058868
Weizman	0.058851
"Gerhard Schroeder"	0.0586183
Whitman	0.0583712
somebody	0.0583439
government	0.0582268
"Hugo Chavez"	0.0582166
"Michael Jordan"	0.0582036
Demirel	0.05817
Roosevelt	0.0581514
"Slobodan Milosevic"	0.0581422
"Paul Cellucci"	0.0580063
Pinochet	0.0579747
Nader	0.0578973
"Barry Goldwater"	0.0578383
incumbent	0.0576484
opponent	0.0575085
"Christie Whitman"	0.0573886
Kuchma	0.0573216
"Gary Bauer"	0.0573215
GOP	0.0573113
"Jesse Jackson"	0.0570426
woman	0.0570053
"Vicente Fox"	0.0568788
person	0.056828
predecessor	0.0567922
Tipper	0.056753
Cuomo	0.056734
"Charles Schumer"	0.0566824
"Franklin D. Roosevelt"	0.0566587
administration	0.0566529
Hashimoto	0.0564846
"John Major"	0.0564443
Pastrana	0.0563912
Tyson	0.0563137
"Kenneth Starr"	0.0562724
Chen	0.056259
"Roy Barnes"	0.056159
king	0.0561579
anybody	0.0560254
"White House"	0.0559903
Anwar	0.055973
guy	0.0559461
rival	0.0558757
Wilson	0.055846
))
("Bill Cosby" (desc 5740.94) (sims
"Chris Rock"	0.115747
"Bob Hope"	0.108117
"Rosie O'Donnell"	0.105103
"David Spade"	0.104934
"Whoopi Goldberg"	0.102125
"Martin Lawrence"	0.0991262
"Mel Brooks"	0.0974545
"Jerry Seinfeld"	0.0959834
"Adam Sandler"	0.0955893
"Garry Shandling"	0.0925717
"Billy Crystal"	0.0919854
"Eddie Murphy"	0.0898685
"Norm MacDonald"	0.0881603
"Jerry Lewis"	0.0878312
"Barbra Streisand"	0.0868536
"Regis Philbin"	0.0856604
"Steve Martin"	0.0808621
"Mike Myers"	0.0804622
Cher	0.0802202
"Demi Moore"	0.0800987
"Lucille Ball"	0.0789584
"Paul Newman"	0.0788299
"Liza Minnelli"	0.0786512
"Sidney Poitier"	0.0784254
"Tom Cruise"	0.077696
"Tony Bennett"	0.0774511
"Michelle Pfeiffer"	0.076637
"Julie Andrews"	0.0762869
"Josephine Baker"	0.0753214
"Robin Williams"	0.0743192
"Bing Crosby"	0.0740842
"Kathie Lee Gifford"	0.0736323
Cosby	0.0734613
"Lily Tomlin"	0.0729326
"Richard Gere"	0.0726219
"Chevy Chase"	0.0724957
"Tina Turner"	0.071664
"Oprah Winfrey"	0.0716406
"Bette Midler"	0.0713904
"Marlon Brando"	0.0705121
"Frank Sinatra"	0.0704589
"Clint Eastwood"	0.0702373
"Harrison Ford"	0.0699971
"Lisa Kudrow"	0.0697119
"Tom Hanks"	0.0686532
"Dennis Miller"	0.0686073
"Jay Leno"	0.0682349
"Whitney Houston"	0.0674876
"John Cleese"	0.0671603
"Joan Rivers"	0.0671242
"Jim Carrey"	0.0671052
"Jon Stewart"	0.0666749
"Angela Bassett"	0.066501
"Arnold Schwarzenegger"	0.0662019
"Dolly Parton"	0.0657224
"Samuel L. Jackson"	0.0649419
"Julia Roberts"	0.0646467
"Will Smith"	0.06376
"Michael Jackson"	0.063468
"Goldie Hawn"	0.0633254
"George Carlin"	0.0630918
"Harry Belafonte"	0.0628866
"John Belushi"	0.0622513
"George Burns"	0.062221
Roseanne	0.0621771
"Garth Brooks"	0.0619406
"Steve Allen"	0.0612338
"Al Groh"	0.0604762
"Patrick Stewart"	0.0595509
"Al Franken"	0.0593786
"Billy Graham"	0.0592248
"Howard Stern"	0.0592023
"Andy Kaufman"	0.0588486
"Vince Lombardi"	0.058578
"Sammy Davis Jr."	0.0585633
"David Letterman"	0.0583867
"Jerry Springer"	0.0581585
"Jack Nicholson"	0.0578463
"Brad Pitt"	0.0578208
"Paul Robeson"	0.0575381
"Don Imus"	0.0572415
"Ellen DeGeneres"	0.0571723
"Louis Armstrong"	0.0570015
Madonna	0.0569918
"Gregory Peck"	0.0567422
Hughleys	0.0565321
"Ray Charles"	0.0563404
"Steve McQueen"	0.0563143
"Jimmy Smits"	0.0562563
"Diane Keaton"	0.05619
"Jodie Foster"	0.0559795
"Carol Burnett"	0.0555773
"Nick Nolte"	0.0551919
"Gene Hackman"	0.055093
"Leonardo DiCaprio"	0.0549222
"Matthew Perry"	0.0546119
"W.C. Fields"	0.0545413
"Dan Reeves"	0.0544906
"Sylvester Stallone"	0.053965
"Julius Erving"	0.0539418
"Woody Allen"	0.052959
"Drew Carey"	0.0529562
"Joan Baez"	0.0528502
"Elizabeth Taylor"	0.0528361
DiCaprio	0.0528321
"Rush Limbaugh"	0.0527292
"Sonny Bono"	0.0521172
"Steven Spielberg"	0.0520841
Deneuve	0.0519328
"Queen Latifah"	0.0518931
"John Travolta"	0.051814
"Robert Duvall"	0.0517014
"Jennifer Love Hewitt"	0.0516406
"Thandie Newton"	0.0516351
"Ted Koppel"	0.0516141
"Judy Garland"	0.0515598
"Billie Holiday"	0.0515404
"Laura Bush"	0.0511586
"Danny Glover"	0.0511226
"Willie Nelson"	0.0510975
"Johnny Carson"	0.0510101
RuPaul	0.0507788
"Lenny Wilkens"	0.0506596
"Dave Wannstedt"	0.0505966
"Bob Marley"	0.0505639
"Lauren Bacall"	0.0504982
"Jeremy Irons"	0.0504814
"Helen Mirren"	0.0504648
"Ben Affleck"	0.0504507
"Bill Murray"	0.0504235
"Will &AMP; Grace"	0.0501394
"Bora Milutinovic"	0.0498502
"Bruce Springsteen"	0.0497714
"Sela Ward"	0.0497447
"Rod Stewart"	0.0496278
"Diana Ross"	0.0496042
"Warren Beatty"	0.0495426
"Walter Cronkite"	0.0495192
"Coretta Scott King"	0.0494952
"Marlene Dietrich"	0.0493316
"Robert de Niro"	0.0492443
"Ed McMahon"	0.049101
"Paul Simon"	0.0488594
"Jimmy Stewart"	0.0488531
"Kevin Costner"	0.0488264
"Brooke Shields"	0.0487794
"Joe Gibbs"	0.0487721
Qaddafi	0.0487454
"Ted Danson"	0.048605
"Tim Floyd"	0.0484992
"Jimmy Johnson"	0.0483177
"Arnold Palmer"	0.0481709
"Annette Bening"	0.0477606
"Lana Turner"	0.0476791
"King Sihanouk"	0.0476345
"Celine Dion"	0.047479
"Michael J. Fox"	0.0474073
"Eric Clapton"	0.0473796
"Jim Harrick"	0.0473457
"Chris Berman"	0.0472613
"Bill Walsh"	0.0469153
"Billy Joel"	0.046902
"Stevie Wonder"	0.0468959
"Wesley Snipes"	0.0468518
Landry	0.0468409
"David Bowie"	0.0468269
"Martin Sheen"	0.0467378
"Andrea Bocelli"	0.0466564
"Phil Jackson"	0.0465884
Schwarzenegger	0.0464495
Tilberis	0.0464003
"Don Zimmer"	0.0462589
"Colin Powell"	0.0459848
"Terry McAuliffe"	0.0459733
"Edward Furlong"	0.0459528
"Martin Luther King III"	0.0458299
Benigni	0.0458247
"Rob Lowe"	0.0458206
"Susan Sarandon"	0.0457249
"Tom Landry"	0.0456763
"Nicholas II"	0.0455878
"Spencer Tracy"	0.0455681
"Tom Selleck"	0.0455446
"Tim Allen"	0.0454691
"Ben Stiller"	0.0454535
"Sigourney Weaver"	0.0453707
"Sean Penn"	0.0451389
"Queen Elizabeth II"	0.0450885
"Jay Mohr"	0.0447703
"Chuck Berry"	0.0445255
"Kurt Rambis"	0.0443328
"Jackie Chan"	0.0442101
"Ted Turner"	0.0441076
"Mick Jagger"	0.0440488
"Kevin Spacey"	0.0439973
"Kris Kristofferson"	0.0439671
"Warren Buffett"	0.0439228
"Roberto Benigni"	0.0439172
"Woody Harrelson"	0.0438527
"Robert Redford"	0.0436894
))
("Bill Cowher" (desc 1627.54) (sims
"Tony Dungy"	0.276355
"Mike Ditka"	0.215385
"TOM COUGHLIN"	0.211541
"George Seifert"	0.209323
"Don Shula"	0.19897
"Mike Shanahan"	0.194916
"Mike Holmgren"	0.180485
"Dick Vermeil"	0.180172
"Al Groh"	0.175022
"Steve Mariucci"	0.170466
"Jimmy Johnson"	0.159988
"Scotty Bowman"	0.151139
"Bora Milutinovic"	0.146562
"Dan Reeves"	0.14381
"Joe Gibbs"	0.141924
"Dennis Green"	0.137871
"John Robinson"	0.137771
"Barry Switzer"	0.137031
"Vince Lombardi"	0.133954
"Brian Billick"	0.132038
"Norv Turner"	0.129282
"Jerome Bettis"	0.126947
"Ray Rhodes"	0.120017
"Dick Jauron"	0.118587
"Rick Neuheisel"	0.115909
"Tim Floyd"	0.115729
"Jim Harrick"	0.11571
"Chris Palmer"	0.115127
"Willie Randolph"	0.114804
"Dennis Erickson"	0.114443
"Bill Parcells"	0.111756
"Tom Landry"	0.111246
"Rich Brooks"	0.107844
"Jim Calhoun"	0.103466
"Don Baylor"	0.103145
"Dom Capers"	0.102263
"Lou Holtz"	0.10025
"Mike Martz"	0.100048
"Bill Walsh"	0.0955929
"Paul Westphal"	0.0948622
"Lenny Wilkens"	0.0935537
"Dave Wannstedt"	0.0924761
"Doc Rivers"	0.0913351
Fassel	0.088708
"Pete Carroll"	0.0874314
Martz	0.0867515
"Bill Belichick"	0.0864682
"Don Zimmer"	0.0859373
"Chan Gailey"	0.0857294
"John Smith"	0.0848347
"Dave Campo"	0.0835727
"Matthew Barnaby"	0.0808809
"Tom Osborne"	0.0801536
"Bela Karolyi"	0.0786984
"John Thompson"	0.0778521
"Del Harris"	0.0777474
"Kurt Rambis"	0.0766047
"George Karl"	0.0763966
"Jeff Van Gundy"	0.0757734
"Tommy Bowden"	0.0751578
"Paul Johnson"	0.0747657
Harrick	0.073697
"Dave Cowens"	0.0735143
"Chuck Daly"	0.0728902
Pruett	0.0727882
"Kevin Keegan"	0.0727616
"P.J Carlesimo"	0.0726771
"Colin Campbell"	0.0723126
Groh	0.0721537
"Glenn Hoddle"	0.0714899
"Walter Zenga"	0.0709223
"Mike Dunleavy"	0.0702108
Vermeil	0.069768
Wannstedt	0.0692173
"Butch Carter"	0.0690175
"Jason Kendall"	0.0686257
"Dean Smith"	0.0685245
"Rudy Tomjanovich"	0.0682484
"Tex Winter"	0.0681291
"Johan Cruyff"	0.068023
"Mike Scioscia"	0.0677951
Belichick	0.0677017
"Ken Hitchcock"	0.0663349
Donnan	0.0655069
Sampson	0.0642792
"Larry Brown"	0.0640998
"Roy Williams"	0.0640892
"Phil Jackson"	0.0632498
"Rick Pitino"	0.0629929
"Jerry Sloan"	0.0627055
Cowher	0.0626408
"Rivers Stadium"	0.0622984
"John Calipari"	0.062298
Solich	0.0615444
"Glen Sather"	0.0611926
"Mike Krzyzewski"	0.0611809
"Dennis Johnson"	0.0608294
"Pat Riley"	0.06059
"Mack Brown"	0.0601618
Cremins	0.0593884
"Paul Silas"	0.0581571
"Clyde Drexler"	0.0575491
Holmgren	0.0563759
"Steve Spurrier"	0.0558637
"Joe Paterno"	0.0543384
"Kordell Stewart"	0.0542847
"Ruud Gullit"	0.054014
"Don Nelson"	0.0539245
"Mike Hargrove"	0.0532554
Landry	0.0531542
"Terry Allen"	0.0529666
"Bobby Bowden"	0.0525673
Haskins	0.0524472
Skiles	0.0514161
"Isiah Thomas"	0.0513499
Spurrier	0.0513386
"Rod Carew"	0.050958
"Glenn Hoffman"	0.0505616
"Tom Davis"	0.050206
Jauron	0.0497911
Layden	0.0497033
"Billie Jean King"	0.0496359
"Damon Huard"	0.0493253
"Larry Bird"	0.0488618
Shanahan	0.0486823
Lavin	0.0475841
Seifert	0.0475271
Oliveira	0.0474524
"Frank Gifford"	0.0470224
"John Wooden"	0.0469436
whomever	0.0465032
"Dave Stewart"	0.0453988
Karlsson	0.0452803
Devine	0.0451304
"Bobby Knight"	0.0450775
"Bear Bryant"	0.0449818
Ponciano	0.0444467
Boilermakers	0.0442157
"Gianluca Vialli"	0.0437701
Fulmer	0.0436137
Kearney	0.0433893
"Bob Knight"	0.0432757
Shula	0.0431506
"Mel Stottlemyre"	0.0431368
"Steve DeBerg"	0.0426646
Barnett	0.0425649
Billick	0.0424761
K.	0.0421505
Milutinovic	0.0420031
Mariucci	0.0417854
"Jorgen Persson"	0.0415567
Smitherman	0.0413937
Wilkens	0.0410539
"Dennis Hastert"	0.0409942
"Rodney Eyles"	0.0409624
Nilsson	0.0406936
Mineta	0.040062
))
("Bill Elliott" (desc 4419.51) (sims
"Dale Jarrett"	0.340399
"Rusty Wallace"	0.325103
"Ernie Irvan"	0.320815
"Terry Labonte"	0.309927
"John Andretti"	0.292906
"Darrell Waltrip"	0.291329
"Mark Martin"	0.289966
"Jeremy Mayfield"	0.285157
"Dale Earnhardt"	0.278423
"Bobby Labonte"	0.273976
"Mike Skinner"	0.270618
"Jeff Burton"	0.252912
"Jeff Gordon"	0.250947
"Ricky Rudd"	0.250429
"Ken Schrader"	0.228166
"Kyle Petty"	0.22249
"Joe Nemechek"	0.217639
"Tony Stewart"	0.217013
"Kenny Irwin"	0.216952
"Dale Earnhardt Jr."	0.206723
"Ward Burton"	0.203789
"Johnny Benson"	0.203358
"Geoffrey Bodine"	0.19464
"Bobby Hamilton"	0.193916
"Kevin Lepage"	0.192966
"Jimmy Spencer"	0.182721
Jarrett	0.180968
"Sterling Marlin"	0.167708
Labonte	0.167135
"Jerry Nadeau"	0.164735
"Steve Park"	0.162639
"Elliott Sadler"	0.161693
"Todd Bodine"	0.160729
"Matt Kenseth"	0.156224
"Kenny Wallace"	0.147387
"Richard Petty"	0.139236
"Ted Musgrave"	0.138605
"Ricky Craven"	0.134323
"Eddie Cheever"	0.133144
Earnhardt	0.128784
"Michael Waltrip"	0.124638
"Bobby Rahal"	0.116182
rudd	0.114953
"Colin McRae"	0.112854
Gordon	0.112666
"Scott Pruett"	0.110302
"Mario Andretti"	0.109533
"Dick Trickle"	0.10851
"Adam Petty"	0.10641
"Arie Luyendyk"	0.101007
Sainz	0.100231
"Buckshot Jones"	0.0999912
"A.J Foyt"	0.0999698
"Wally Dallenbach"	0.0972517
"Greg Ray"	0.0959037
Zanardi	0.0936023
"Kenny Brack"	0.0908891
Mayfield	0.0905025
Waltrip	0.0897901
Villeneuve	0.0897205
"Robby Gordon"	0.089257
Foyt	0.0891046
"Al Unser Jr."	0.0887695
Andretti	0.0886929
"Miguel Indurain"	0.0868982
petty	0.0862772
Burton	0.0850877
"Billy Boat"	0.0847687
"Michael Schumacher"	0.0821351
"Carlos Sainz"	0.0818018
"Damon Hill"	0.0812704
"Paul Tergat"	0.0810031
"Juha Kankkunen"	0.0807929
"Alex Zanardi"	0.0798518
"Jacques Villeneuve"	0.0797833
"David Coulthard"	0.0797808
Franchitti	0.0797577
"Wang Yifu"	0.0780646
"MIka Hakkinen"	0.0779684
Vasser	0.0777036
"Michael Andretti"	0.076459
Bruguera	0.0763401
"Juan Montoya"	0.0759963
"Pernilla Wiberg"	0.0758195
Montoya	0.0752928
Makinen	0.0751192
"Dario Franchitti"	0.0749312
"Elvis Stojko"	0.0725645
Coulthard	0.0721257
Schumacher	0.0717108
Klim	0.0715221
Skinner	0.0714298
"Didier Auriol"	0.0713625
"Heinz-Harald Frentzen"	0.071274
Schrader	0.070335
"Fatuma Roba"	0.070208
"Earnhardt Jr."	0.0700162
"Tommi Makinen"	0.0696882
Irwin	0.0686859
"Jimmy Vasser"	0.0680701
"Adrian Fernandez"	0.0679663
Irvan	0.0674769
"Johan Museeuw"	0.0672599
"Anita Wachter"	0.0665162
"Christine Arron"	0.0661126
Elliott	0.0652131
"Fu Mingxia"	0.0652045
"Svetlana Khorkina"	0.0651385
"Gil Morgan"	0.0649049
"Li Xuemei"	0.0632383
"Chris Boardman"	0.0631976
Luyendyk	0.0631616
"Liu Xuan"	0.0627874
Hakkinen	0.0626132
"Irina Slutskaya"	0.0625671
"Abraham Olano"	0.0624728
"Kjetil Andre Aamodt"	0.0620969
"Deon Hemmings"	0.0619392
"Jeff King"	0.0617453
"Bernhard Langer"	0.0616517
Musashimaru	0.0616262
Kjus	0.0612976
Daylami	0.0607903
"Ralf Schumacher"	0.060395
"Jack Nicklaus"	0.0603609
"Paul Tracy"	0.0602967
"Maria Mutola"	0.0602553
"Lasse Kjus"	0.0601282
"Max Biaggi"	0.0598302
"Steve Elkington"	0.0598248
"Li Jiajun"	0.0597412
Aamodt	0.059585
"Kieren Perkins"	0.0594835
"Guo Jingjing"	0.0594788
"Sonia O'Sullivan"	0.0593965
"Gail Devers"	0.0591017
"Moses Tanui"	0.0588518
"Lee Janzen"	0.0585377
"Hilde Gerg"	0.0584547
Tanui	0.0583532
"HANK KUEHNE"	0.0580148
"Eddie Irvine"	0.0579369
"Annika Sorenstam"	0.0578964
Longo	0.0578492
Pruett	0.0572884
"Ji Xinpeng"	0.0569624
"Richard Burns"	0.0569471
"Michael Von Gruenigen"	0.0567154
"Alexei Yagudin"	0.0566832
"Katja Seizinger"	0.0566535
"Scott Goodyear"	0.0566498
Herta	0.0566331
"Mika Salo"	0.0565818
"Regina Jacobs"	0.056571
Wallace	0.0564541
"Derrick Adkins"	0.0563787
"Sergi Bruguera"	0.0563133
"Maria Butyrskaya"	0.0561168
"Deborah Compagnoni"	0.0560149
"Susie O'Neill"	0.0559473
"High Yield"	0.0557491
Kenseth	0.0557085
Rahal	0.055479
"Ben Hogan"	0.0554557
Sautin	0.0554152
"Koji Ito"	0.0552835
"Laurent Brochard"	0.0550335
"Hale Irwin"	0.0549595
"Buddy Lazier"	0.0549359
"Alberto Tomba"	0.0548023
"Marco Pantani"	0.0547973
Malek	0.0547637
Bodine	0.0547612
"Lance Armstrong"	0.0545875
Anees	0.0545531
"Todd Eldredge"	0.0544368
"Favorite Trick"	0.0542846
"Isolde Kostner"	0.0541795
"Scott Sharp"	0.0540745
Maier	0.0538834
Morceli	0.0537617
"Nick Faldo"	0.0536466
"Cat Thief"	0.0536087
"Olin Browne"	0.0530425
"Skip Away"	0.0529152
"Erik Zabel"	0.0529104
"Jean-Philippe Gatien"	0.0527195
"Alexandra Meissnitzer"	0.0527023
"Greg Moore"	0.0526921
"Answer Lively"	0.0524979
"Rashid Sidek"	0.0522409
"Michael Weiss"	0.0521157
"Wang Tao"	0.0519017
Ullrich	0.0518925
Loroupe	0.0517897
"Hermann Maier"	0.0515133
"El Guerrouj"	0.0514381
"Maurice Greene"	0.0513664
"Dennis Conner"	0.0512992
"Bjarne Riis"	0.0512146
))
("Bill Frist" (desc 3983.76) (sims
"Fred Thompson"	0.322024
"Olympia Snowe"	0.240625
"Olympia J. Snowe"	0.226049
"Arlen Specter"	0.221377
"Chuck Hagel"	0.221259
"Ed Bryant"	0.218342
"Mike DeWine"	0.214052
"Howard Baker"	0.199436
"James Jeffords"	0.196572
"Jon Kyl"	0.184954
"Kay Bailey Hutchison"	0.181108
"Connie Mack"	0.173599
"John Warner"	0.171934
"Richard Lugar"	0.169708
"Pete Domenici"	0.166842
"Gordon Smith"	0.164448
"Judd Gregg"	0.16224
"Mitch McConnell"	0.161566
"Lauch Faircloth"	0.158927
"Slade Gorton"	0.156966
"John Breaux"	0.151791
"Kit Bond"	0.149958
"Richard Shelby"	0.149127
"Dan Coats"	0.148344
"John Ashcroft"	0.148029
"Rick Santorum"	0.147018
"Jim Jeffords"	0.146016
"Susan Collins"	0.145582
"Frank Murkowski"	0.141785
"Bob Graham"	0.141537
"Ted Stevens"	0.140898
"Craig Thomas"	0.140778
"Paul Coverdell"	0.140412
"Ben Nighthorse Campbell"	0.139759
"Larry Craig"	0.138434
"Phil Gramm"	0.136161
"George Voinovich"	0.133669
"Ron Wyden"	0.133555
"Carl Levin"	0.133509
frist	0.132376
"Edward M. Kennedy"	0.131609
"Sam Brownback"	0.131356
"Frank Lautenberg"	0.130828
"John Kerry"	0.129304
"Herb Kohl"	0.126993
"Jesse Helms"	0.126314
"Orrin Hatch"	0.126286
"Barbara Boxer"	0.124065
"John Chafee"	0.123725
"Peter Fitzgerald"	0.123177
"Joseph I. Lieberman"	0.122569
"William Roth"	0.120673
"Bob Smith"	0.120303
"Sam Nunn"	0.117906
"Rod Grams"	0.117614
"Joseph Biden"	0.117018
"Bob Kerrey"	0.11697
"Charles E. Schumer"	0.116821
"Harry Reid"	0.116259
"Dianne Feinstein"	0.116072
"Don Nickles"	0.115499
"Paul Wellstone"	0.11487
"Jeff Sessions"	0.114476
"Robert Bennett"	0.112886
"Lamar Alexander"	0.112551
"Russell Feingold"	0.111486
D-Vt.	0.111088
"Charles Grassley"	0.111017
"Edward Kennedy"	0.110869
"Bill Thomas"	0.110803
"Frank Keating"	0.109749
"Mary Landrieu"	0.108299
"John Danforth"	0.106692
"Strom Thurmond"	0.106055
"Christopher Dodd"	0.105903
"Richard Bryan"	0.103992
"Patty Murray"	0.103867
"Spencer Abraham"	0.103712
"Patrick Leahy"	0.103446
"Byron Dorgan"	0.103242
"Robert C. Byrd"	0.102429
"Tom Daschle"	0.100698
"Charles Robb"	0.0997759
"Pat Roberts"	0.0996626
"Tom Harkin"	0.0991207
"Jim Bunning"	0.0991117
"John Edwards"	0.0989821
"Max Baucus"	0.0988923
"Lincoln Chafee"	0.09782
"Ted Kennedy"	0.0970112
R-Neb	0.096303
"Tim Hutchinson"	0.0950664
"Blanche Lincoln"	0.094619
"John Kasich"	0.0940486
"Robert Torricelli"	0.0937406
"Thad Cochran"	0.0935678
"Jim Gilmore"	0.0930207
"Martin Meehan"	0.0923677
"J.C. Watts"	0.0916983
"Bill McCollum"	0.0915397
"Conrad Burns"	0.0910311
"Joseph Lieberman"	0.0908087
"Christopher Shays"	0.0904863
"Daniel Patrick Moynihan"	0.0901411
"Warren Rudman"	0.0894413
"Barney Frank"	0.0887604
"Tom Campbell"	0.0875442
"Charles Schumer"	0.0870777
"Robert Byrd"	0.0853858
"Evan Bayh"	0.0850816
"Joe Lieberman"	0.0844633
"Mike Huckabee"	0.0837629
"Tim Johnson"	0.0827516
"Kent Conrad"	0.0814651
"Max Cleland"	0.0805411
"Alfonse D'Amato"	0.0804211
"Dick Durbin"	0.0797645
"Carolyn McCarthy"	0.0797265
"Ernest Hollings"	0.079305
"Lindsey Graham"	0.0791918
"Richard Durbin"	0.0788409
R-Tenn.	0.0775179
"Bob Barr"	0.0770226
"John Conyers"	0.0768924
"Gary Hart"	0.0767633
"Paul Tsongas"	0.0759026
"Trent Lott"	0.0748145
"Lamar Smith"	0.074238
"Russ Feingold"	0.0742332
"Jim Kolbe"	0.0740847
"Lee Hamilton"	0.0735225
"Robert Smith"	0.0734098
"Dale Bumpers"	0.072994
"Jerrold Nadler"	0.072645
Grassley	0.0722358
"Sheila Jackson Lee"	0.0711677
"Christopher Smith"	0.0682137
Helms	0.0679502
"Wayne Allard"	0.0678318
"Elizabeth Dole"	0.0675351
"Mark Foley"	0.0670755
"Don Young"	0.0667603
Gorton	0.0663538
"Billy Tauzin"	0.0663515
"Joseph McCarthy"	0.0655654
"David Dreier"	0.0647641
"Barbara Mikulski"	0.063971
"David Beasley"	0.0638439
Kerry	0.0634931
Gramm	0.0629705
R-Vt.	0.0625135
"Marc Racicot"	0.0622681
"George Mitchell"	0.0622381
"Linda Smith"	0.062225
"Tom Coburn"	0.0620906
"John Linder"	0.0616662
Daschle	0.0616189
Feinstein	0.0615457
"Robert F. Kennedy"	0.061232
"Barry Goldwater"	0.0611463
"James Rogan"	0.0611284
"Patrick Kennedy"	0.0607701
"Jane Hull"	0.0606622
"Democrat Bill Bradley"	0.0600815
"Fob James"	0.0598288
"John Dingell"	0.0597237
"Asa Hutchinson"	0.0587742
Snowe	0.0584375
"Mike Foster"	0.0583065
Ashcroft	0.0581057
"Matt Salmon"	0.0575514
"Christopher Cox"	0.0572775
"Orlando Mercado"	0.0568624
"James Inhofe"	0.05662
"Bob Franks"	0.0564695
"Bob Dole"	0.0564384
"Greg Ganske"	0.0564113
"Rick White"	0.0561651
D-Conn.	0.0559348
"James Sensenbrenner"	0.0557333
"Steve Largent"	0.0556361
"Gary Bauer"	0.0555918
"Frank Luntz"	0.0553727
"John Glenn"	0.0552528
"Steve Forbes"	0.0548612
Wellstone	0.0548129
Jeffords	0.0547121
R-Ohio	0.0545382
"Lloyd Bentsen"	0.0543373
"Bill Archer"	0.0542483
Hagel	0.0541671
"Dan Burton"	0.0539075
"Tom DeLay"	0.0537959
"Lowell Weicker"	0.0537357
"Chamique Holdsclaw"	0.0536062
"John Engler"	0.0532471
McConnell	0.0525818
"Ron Paul"	0.0524615
"Dan Quayle"	0.0523803
"Jim Leach"	0.0519984
))
("Bill Gates" (desc 26054.6) (sims
Gates	0.157368
"Paul Allen"	0.147565
"Scott McNealy"	0.147238
"Michael Dell"	0.142634
"Gerald Levin"	0.138035
"Michael Eisner"	0.129418
"Steve Case"	0.128137
"Steve Jobs"	0.126271
"James Barksdale"	0.124093
"Sumner Redstone"	0.122804
"Larry Ellison"	0.119317
"Ted Turner"	0.116871
"Rupert Murdoch"	0.115929
"M. Douglas Ivester"	0.114783
"Mel Karmazin"	0.107452
"Steve Ballmer"	0.102793
"Barry Diller"	0.102404
"Richard Branson"	0.101302
"Jim Clark"	0.0945634
"Craig McCaw"	0.0920713
"Jeff Bezos"	0.0920695
"Craig Barrett"	0.0916519
"Warren Buffett"	0.0908697
"Jack Welch"	0.0906215
"Lucio Tan"	0.0842867
"Edgar Bronfman Jr."	0.0781813
"George Soros"	0.0780669
"William Randolph Hearst"	0.0772891
"Marc Andreessen"	0.075259
"Jeffrey Katzenberg"	0.0744494
"Alan Greenspan"	0.0741933
"Donald Trump"	0.0731497
cofounder	0.0722293
"Eli Broad"	0.0712002
"Ronald Perelman"	0.0711217
Ka-shing	0.0710891
"Tony Coelho"	0.0700302
"Mark Cuban"	0.0687592
"Robert Rubin"	0.0678068
"Michael Milken"	0.0677025
"Ross Perot"	0.067315
"Vernon Jordan"	0.0667366
"Steven Spielberg"	0.0660919
"Richard Butler"	0.0648171
"Garth Drabinsky"	0.0643719
Microsoft	0.0630864
"Billy Payne"	0.0625454
"Tung Chee-Hwa"	0.0624977
"Bill Clinton"	0.0619332
"William Daley"	0.0608305
"Vince McMahon"	0.0602073
Barksdale	0.0588839
"George Steinbrenner"	0.0588041
executive	0.0587347
Murdoch	0.0586844
"Henry Hyde"	0.058374
"Hugh Hefner"	0.0580455
"William Cohen"	0.0576731
"Janet Reno"	0.0574014
"Monica Lewinsky"	0.0573758
"Than Shwe"	0.0566355
Ballmer	0.0555767
"Michael Jordan"	0.0554481
Perot	0.0542471
"Robert Johnson"	0.0542044
"chief executive"	0.0537179
"Jonas Savimbi"	0.0532932
"Microsoft Corp."	0.0528582
"Pat Robertson"	0.0525031
"Ivan Kostov"	0.0523804
founder	0.0517722
"Hillary Clinton"	0.0515284
Netscape	0.051513
"Boris Berezovsky"	0.0513971
"George Lucas"	0.0512068
"Michael Ovitz"	0.0510148
mogul	0.0509818
"Boris Yeltsin"	0.0509638
turner	0.050959
Mayor	0.0505433
Robertson	0.0500064
Bos	0.0498523
Allen	0.0495782
"vice president"	0.0495349
"Tung Chee Hwa"	0.0494469
"George Bush"	0.049312
"David Geffen"	0.04927
"George W. Bush"	0.0492269
Gingrich	0.0491849
Chung	0.0491035
Ovitz	0.0484865
"Newt Gingrich"	0.0484244
"Yasser Arafat"	0.0484152
"Mother Teresa"	0.0483464
Spielberg	0.0481328
Ivester	0.0481242
Soros	0.0481117
"Time Warner"	0.0479569
"Juan Antonio Samaranch"	0.0478418
Levin	0.0477489
"Mesut Yilmaz"	0.0475385
"Jesse Helms"	0.0473998
Ford	0.047335
CEO	0.0473306
"venture capitalist"	0.0471592
Lewinsky	0.0471521
"Hillary Rodham Clinton"	0.0467794
"Al Gore"	0.0463271
"Mikhail Gorbachev"	0.0463243
grandfather	0.0462279
Butler	0.0460102
"Vladimir Putin"	0.045958
"Laura Bush"	0.0459318
"Walt Disney"	0.0458475
"Walt Disney Co."	0.0458369
Cohen	0.0456532
Chancellor	0.0456184
billionaire	0.0456148
"Netscape Communications Corp."	0.045609
Mahathir	0.0455973
"Tony Blair"	0.0455563
"Mao Zedong"	0.0455159
"Fidel Castro"	0.0454906
Greenberg	0.0454349
Mugabe	0.0452273
"John McCain"	0.0452273
entrepreneur	0.0452079
Assad	0.045139
Greenspan	0.045025
"Henry Ford"	0.0449812
Arafat	0.0449404
"Tony George"	0.0448993
Samaranch	0.0448548
Disney	0.0447038
Compaq	0.0446842
Jim	0.0445755
Harris	0.0445139
Intel	0.0444769
Michael	0.0443901
oracle	0.0442525
Clark	0.0440217
Naipaul	0.0440085
Payne	0.043881
Forbes	0.0437904
Mao	0.0437836
Silverman	0.0437725
"Bill Parcells"	0.0437584
David	0.0437386
"General Electric"	0.0436651
Mandela	0.0436158
IBM	0.0435669
Peter	0.0435452
Prince	0.043482
Kraft	0.0434672
Castro	0.0433998
"Martin Luther King Jr."	0.0433801
Netanyahu	0.0433642
Viacom	0.0433028
"Intel Corp."	0.043286
Richardson	0.0432231
"Qiao Shi"	0.0429998
Mellon	0.0429487
"America Online"	0.0429378
banker	0.0428241
"Li Ruihuan"	0.0427239
Comcast	0.0427201
Buffett	0.0426938
"Netscape Communications"	0.0425669
everybody	0.0424717
"Steve Forbes"	0.0424413
"Colin Powell"	0.0423902
Rockefeller	0.0423693
dad	0.0423273
"Martha Stewart"	0.0423194
"Mahathir Mohamad"	0.0423025
Gusmao	0.0421461
developer	0.0421445
Moi	0.0420889
"Philip Morris"	0.0419985
Hillary	0.0419875
McCain	0.0419644
"Orrin Hatch"	0.0418526
"Elizabeth Dole"	0.0418479
Zedillo	0.0418429
"David E. Kelley"	0.0417918
Lee	0.0417724
AOL	0.0417449
Kennedy	0.0416708
smith	0.0416541
Richard	0.0415905
Hitler	0.0415676
Hashimoto	0.0414491
Milosevic	0.0414301
"real estate developer"	0.0414165
somebody	0.0413894
Pfizer	0.0413498
"chief executive officer"	0.0413439
Welch	0.0413321
"Necmettin Erbakan"	0.0413176
Yeltsin	0.0412565
))
("Bill Glasson" (desc 1376.15) (sims
"Chris Perry"	0.164519
"Billy Andrade"	0.15986
"Andrew Magee"	0.158606
"Shigeki Maruyama"	0.147487
"Brad Faxon"	0.147194
"Mark Brooks"	0.143666
"Carlos Franco"	0.142868
"Curtis Strange"	0.137903
"Steve Pate"	0.132299
"Steve Elkington"	0.123143
"Fred Couples"	0.118937
"Bob Estes"	0.115417
"J.P. Hayes"	0.107455
"Lee Janzen"	0.104583
"Olin Browne"	0.104579
"Bob Tway"	0.103675
"John Cook"	0.100987
"Paul Azinger"	0.0998759
"Ernie Els"	0.0997919
"Jeff Maggert"	0.0997876
"Nick Price"	0.099745
"Billy Mayfair"	0.0987375
"Davis Love III"	0.0977624
"Mark Calcavecchia"	0.0977389
"Kirk Triplett"	0.0974196
"Darren Clarke"	0.0934432
"Stewart Cink"	0.0933806
"Frank Nobilo"	0.0925675
Stadler	0.0913931
"Jim Furyk"	0.0910033
"David Duval"	0.0909579
"Scott Verplank"	0.0901262
"Rocco Mediate"	0.0890892
"Justin Leonard"	0.0887071
"Davis Love"	0.0872643
"Miguel Angel Jimenez"	0.0857168
"Fuzzy Zoeller"	0.0856538
"Fred Funk"	0.0827209
"John Huston"	0.0824464
"Loren Roberts"	0.0792897
"Hal Sutton"	0.0784893
"Steve Jones"	0.078283
"John Daly"	0.0779686
"Steve Stricker"	0.073062
"Scott Hoch"	0.0729439
"Bernhard Langer"	0.0705942
"Nick Faldo"	0.0699423
"Tom Lehman"	0.069341
"Phil Mickelson"	0.0693306
"Craig Parry"	0.0686086
"Jesper Parnevik"	0.0679903
"Chris Johnson"	0.0618664
"Mark O'Meara"	0.061028
McCarron	0.0600466
"Mike Weir"	0.05986
"Colin Montgomerie"	0.0592814
"Vijay Singh"	0.0586119
"Lee Westwood"	0.0583301
"Corey Pavin"	0.0579894
"Tim Herron"	0.057221
"Peter Jacobsen"	0.0568102
"Thomas Bjorn"	0.0561661
Janzen	0.0552329
"Marc Rosset"	0.0539547
"Van Roost"	0.0536819
"Larry Nelson"	0.0535898
Berasategui	0.0516202
Faldo	0.0513677
Gustafsson	0.0505498
"Craig Stadler"	0.0503453
"Hale Irwin"	0.0500091
"Mirjana Lucic"	0.0493282
"Els Callens"	0.0481408
"MaliVai Washington"	0.0473006
"Australian Mark Philippoussis"	0.047051
"Jean-Philippe Gatien"	0.0469685
"Tom Kite"	0.0449679
Lue	0.0446925
"Younes El Aynaoui"	0.0443691
Lucic	0.043965
Huber	0.043693
Mayfair	0.0431351
"Julie Halard-Decugis"	0.0421977
Haas	0.0420763
"Olga Barabanschikova"	0.0416135
Lawrie	0.0413537
"Arnaud Di Pasquale"	0.0411392
Wyden	0.0405025
Ozaki	0.0403663
"Silvia Farina"	0.0403232
"Tatiana Panova"	0.0402089
"Ian Woosnam"	0.0402021
))
("Bill Graves" (desc 1872.98) (sims
"Mike Huckabee"	0.206725
"Bill Owens"	0.168024
"Christine Todd Whitman"	0.16795
"Frank Keating"	0.16298
"Pat Roberts"	0.159714
"Jim Gilmore"	0.154972
"George Ryan"	0.148764
"Gary Johnson"	0.147997
"Paul Cellucci"	0.147509
"Jim Hodges"	0.145726
"John G. Rowland"	0.145363
"Tommy Thompson"	0.144427
"John Engler"	0.139864
"Jane Hull"	0.13733
"Jeanne Shaheen"	0.12998
"Roy Barnes"	0.124496
"Christie Whitman"	0.123576
"Mike Leavitt"	0.123568
"David Beasley"	0.120254
"Mike Foster"	0.120063
"Pete Wilson"	0.119906
"Parris Glendening"	0.118533
"George Pataki"	0.117121
"John Rowland"	0.115131
"Gary Locke"	0.113444
"Tom Ridge"	0.112836
"Sam Brownback"	0.111515
"Marc Racicot"	0.111515
"William Weld"	0.109933
Voinovich	0.109032
"Lawton Chiles"	0.106139
"George E. Pataki"	0.105444
"Zell Miller"	0.103106
"Roy Romer"	0.100303
"Mel Carnahan"	0.0996509
"Tom Vilsack"	0.0992498
"Pedro Rossello"	0.0981885
"Fob James"	0.0958667
"Jeb Bush"	0.095107
"Gray Davis"	0.0932217
"Jim Hunt"	0.0868776
"Rick Perry"	0.0858508
"George Voinovich"	0.0837563
"Don Siegelman"	0.0821792
"Bob Taft"	0.0814455
"Betsy McCaughey Ross"	0.0809319
Engler	0.0796103
"Rod Grams"	0.0791045
Leavitt	0.0787275
"John Ashcroft"	0.07807
"Roy Williams"	0.0756476
"John Cornyn"	0.0734596
Whitman	0.0734224
"Defense William Cohen"	0.0729075
"Nur Misuari"	0.0705732
"Fred Upton"	0.0687132
"Arthur Levitt"	0.0680447
Cellucci	0.067194
Rowland	0.0662019
"J.C. Watts"	0.0658925
Fordice	0.0658909
Sutiyoso	0.0651144
"Lowell Weicker"	0.0650392
"Paul Patton"	0.0646449
"Jerry Brown"	0.0632317
"Christopher Shays"	0.0631037
Velayati	0.0618956
"Dennis Vacco"	0.0618113
Cornyn	0.0611362
"Don Young"	0.0592669
"Lindsey Graham"	0.0591867
"Connie Mack"	0.0591451
"Buddy MacKay"	0.0591159
Shaheen	0.0590297
"Bruce Babbitt"	0.0589749
"Raef LaFrentz"	0.0586664
"Curt Weldon"	0.0586005
"Kathleen Kennedy Townsend"	0.0585851
"Steve Largent"	0.0583962
"Richard Shelby"	0.0583789
"Mark Sanford"	0.0579028
Kuchma	0.0578485
"Jim Kolbe"	0.0572651
"John Connally"	0.0570297
"Matt Salmon"	0.0569244
"Alexander Lebed"	0.0568989
"Tillie Fowler"	0.0560543
Kyl	0.0560204
"David Dreier"	0.0556078
Dodik	0.0555035
Carnahan	0.0550644
"Jim Guy Tucker"	0.0547105
"Dan Miller"	0.0546376
"Ann Richards"	0.0545707
Lugar	0.054512
"Nelson Rockefeller"	0.0544624
"Congressional Democrats"	0.0543757
Tauzin	0.0543661
"Edwin Edwards"	0.0541952
Niyazov	0.0536464
"Richard Riley"	0.0533975
"Judd Gregg"	0.0533605
"Mark Foley"	0.0533301
Sezer	0.0532325
Martz	0.0524242
"Kit Bond"	0.0522472
"Adrien Brody"	0.0521791
Schmitt	0.052178
"Jim Florio"	0.0520797
Brownback	0.0520627
"Patrick J. Buchanan"	0.0519656
Rifkind	0.0517556
Rakhmonov	0.0517088
"Spencer Abraham"	0.0516857
Riordan	0.0513545
"Mario Cuomo"	0.0513337
"John Anderson"	0.0513262
Nickles	0.051282
"George Wallace"	0.0510023
"Bill Skate"	0.0509006
Taft	0.0507707
"George Nethercutt"	0.0505919
"Rick White"	0.0505753
"Mike DeWine"	0.0505638
"National Convention Executive Council"	0.0502912
"Bob Bullock"	0.0498321
"Hans Blix"	0.0497018
R-Texas	0.0496869
"Speaker Ali Akbar Nateq-Nouri"	0.0496816
Dems	0.0493937
"Chris Patten"	0.0492048
Zarb	0.0491193
"China Airlines"	0.0489754
"Kay Bailey Hutchison"	0.0489633
"Pete Domenici"	0.0489107
Nethercutt	0.0488802
"Charles E. Schumer"	0.048841
"EU Commission"	0.0486904
"Boutros Boutros Ghali"	0.0484739
"John Boehner"	0.0484434
"U.S. Environmental Protection Agency"	0.0482765
Gilman	0.0480845
"Consumer Product Safety Commission"	0.0479373
"Jia Qinglin"	0.0478498
"Financial Supervisory Agency"	0.0476851
"Steve Chabot"	0.0470318
"Richard Blumenthal"	0.0470311
"William Cohen"	0.0469217
"John Sweeney"	0.0468684
"Dan Glickman"	0.0468277
Difrancesco	0.0468119
"Lamar Alexander"	0.0467596
Sacco	0.0466856
"Pervaiz Musharraf"	0.0466831
"Alfonse D'Amato"	0.0466389
"English Football Association"	0.0466165
"Bob Graham"	0.046593
Shays	0.0462833
"Secretary General Boutros Boutros-Ghali"	0.046204
Azad	0.0461607
"H.D Deve Gowda"	0.0461489
"Sherwood Boehlert"	0.0461271
"Ted Stevens"	0.0460123
Ganassi	0.0459447
Khai	0.045808
"Fatos Nano"	0.0457511
Gramm	0.0456297
Bruno	0.0452158
Glickman	0.0451631
"Tom Coburn"	0.0447639
"Tom Campbell"	0.0446103
Windom	0.0445981
Domenici	0.0444959
R-Kan.	0.044456
Muluzi	0.0439484
"Lamar Smith"	0.0437146
"Michael Forbes"	0.0437109
"Rod Thorn"	0.0436519
"Vicente Fox"	0.0436172
"Michael Dukakis"	0.043535
"President Kim Young-sam"	0.0434718
Ashcroft	0.0434694
"John Kasich"	0.0434248
Nazarbayev	0.0433905
"Ben Nighthorse Campbell"	0.0432762
Cem	0.0429375
Beasley	0.0428681
"Dai Xianglong"	0.0426992
"Secretary-General Boutros Boutros-Ghali"	0.0423883
Bruton	0.0423047
"Henry Hyde"	0.0422873
"Yuri Luzhkov"	0.0422787
R-N.C.	0.0421737
Aleman	0.0421543
Vacco	0.0420981
"Henry Bonilla"	0.0420874
Gillom	0.0420812
"Wayne Allard"	0.0419785
"Strom Thurmond"	0.0418779
Kaye	0.0414582
))
("Bill Guerin" (desc 1797.5) (sims
"Geoff Sanderson"	0.21459
"Doug Weight"	0.210455
"Dixon Ward"	0.19605
"Wendel Clark"	0.194155
"Sam Clancy"	0.193225
"Ziggy Palffy"	0.180974
"Pavol Demitra"	0.176354
"Tony Amonte"	0.173495
"Matthew Barnaby"	0.170338
"Anson Carter"	0.162293
"Owen Nolan"	0.159043
"Darren McCarty"	0.156095
"Dallas Drake"	0.154432
"Jarvis Turner"	0.153726
"Ante Razov"	0.149331
"Grant Marshall"	0.1492
"Glen Sather"	0.14879
"Landon Wilson"	0.147481
"Miroslav Satan"	0.147108
"Michael Wright"	0.146489
"Jeff Friesen"	0.145208
"Adam Deadmarsh"	0.144959
"Patrik Elias"	0.144086
"Shane Doan"	0.143904
"Alexei Kovalev"	0.142387
"Theo Fleury"	0.141958
"Kenyon Martin"	0.141307
"Donald Audette"	0.139734
"Mark Madsen"	0.139706
"Rick Tocchet"	0.138347
"Pavel Bure"	0.138161
"Randy McKay"	0.138056
"Nelson Emerson"	0.138007
"Valeri Kamensky"	0.137863
"Blake Sloan"	0.136664
"Gary Roberts"	0.136001
"Maurice Taylor"	0.135754
"Gabe Muoneke"	0.132916
"Pat Verbeek"	0.1319
"Dave Andreychuk"	0.131792
"Todd Harvey"	0.131509
"Brendan Shanahan"	0.130773
"Cliff Ronning"	0.129093
"Milan Hejduk"	0.128775
"Jeremy Roenick"	0.127542
"Joe Juneau"	0.127369
"Chris Porter"	0.126779
"Mike Sullivan"	0.125925
"ZIGMUND PALFFY"	0.125884
"Lamond Murray"	0.123027
"Chris Gatling"	0.122982
"Ted Donato"	0.122003
"Jay Pandolfo"	0.121874
"Alexander Mogilny"	0.120474
"Rob DiMaio"	0.119295
"Alan Henderson"	0.118278
"Peter Forsberg"	0.113886
"Kris Clack"	0.113643
"Sun Wen"	0.112804
"Hao Haidong"	0.112292
"Keith Van Horn"	0.112002
"Richard Jefferson"	0.111776
"Brian Scalabrine"	0.110836
"Kirk Muller"	0.110592
"Claude Lemieux"	0.110225
"Doug Gilmour"	0.110098
"Brian Rolston"	0.108139
"Raef LaFrentz"	0.107418
"Craig Johnson"	0.106758
"Jaromir Jagr"	0.106468
"Corliss Williamson"	0.10573
"Raul Diaz Arce"	0.105508
"Glen Murray"	0.105444
"Stern John"	0.105251
"Kevin Freeman"	0.105137
"Teemu Selanne"	0.10489
"Tommy Salo"	0.10478
"Hu Weidong"	0.104375
"Steve Thomas"	0.103874
"Greg Adams"	0.103215
"Grant Long"	0.102868
"Antawn Jamison"	0.102815
"Theo Ratliff"	0.101517
"Tamika Catchings"	0.101198
"Keith Tkachuk"	0.100602
"Keith Jones"	0.100403
"Morris Peterson"	0.100354
"Ken Belanger"	0.0992446
"Jason Allison"	0.0987361
"Jason Arnott"	0.0986691
"Chris Carrawell"	0.0982708
"Danny Fortson"	0.0981707
"Luc Robitaille"	0.098016
"Roy Lassiter"	0.0977061
"Curtis Brown"	0.0968636
"Jere Lehtinen"	0.0961125
"Joe Murphy"	0.0951801
"Rasheed Wallace"	0.0950238
"Brian Grant"	0.0946102
"Mikhail Shtalenkov"	0.0940475
"Derrick Coleman"	0.0931533
"P.J Brown"	0.0927523
"Nick Anderson"	0.0923113
"DeLisha Milton"	0.0922784
"Glenn Robinson"	0.0918585
"Mike Keane"	0.0914729
"Niklas Sundstrom"	0.0909777
"Dave Reid"	0.0908524
"Anthony Mason"	0.0905453
"Jamie Langenbrunner"	0.0905273
"Chris Webber"	0.0902614
"Alen Boksic"	0.0901796
"Sergei Fedorov"	0.0900952
"Shawn Kemp"	0.0892939
"Marcus Fizer"	0.0891543
"Shane Battier"	0.0887892
"Scott Thornton"	0.0885996
"J.R Reid"	0.0883758
"Paul Kariya"	0.0874798
"Davor Suker"	0.087372
"Austin Croshere"	0.0870342
"Mike Miller"	0.0869796
"Alexei Yashin"	0.0868529
"Brian McBride"	0.0863888
"Dale Davis"	0.0861995
"Brad Isbister"	0.0858218
"Danny Manning"	0.0851364
"Etan Thomas"	0.0850582
"Shawn Marion"	0.0849336
"Mats Sundin"	0.084712
"P.J Axelsson"	0.0845772
"Brett Hull"	0.0843988
"Cedric Ceballos"	0.0842281
"Rodney Rogers"	0.084167
"Horace Grant"	0.083896
"Clarence Weatherspoon"	0.0838815
"Tyrone Nesby"	0.0837938
"Donyell Marshall"	0.0836387
"Joe Sakic"	0.0833352
"Clifford Robinson"	0.0830168
"Jozef Stumpel"	0.0828731
"Eric Lindros"	0.0827022
"Samaki Walker"	0.0825856
"Mark Messier"	0.0825765
"Chris Crawford"	0.0823502
"Othella Harrington"	0.0823063
"Juha Ylonen"	0.0821299
"Kenny Thomas"	0.0813713
"Richard Hamilton"	0.081195
"Raul Gonzalez"	0.0811876
"Ruben Patterson"	0.0811222
"Thierry Henry"	0.0810499
"Chris Mills"	0.0810154
"Harry Kewell"	0.0810074
"Brian Skinner"	0.0807311
"Faustino Asprilla"	0.0804389
"John LeClair"	0.0804366
"Steve Heinze"	0.0799406
"Matt Johnson"	0.0794766
"Juwan Howard"	0.0786975
"Bryon Russell"	0.0784425
"JaRon Rush"	0.0783253
"Joe Nieuwendyk"	0.0782312
"Marc Overmars"	0.078044
"Antonio Davis"	0.0780302
"Pierre Turgeon"	0.0779923
"Donald Brashear"	0.0779107
"Joe Smith"	0.0778167
"Vin Baker"	0.0774153
"Olli Jokinen"	0.0772622
"Benoit Hogue"	0.0766863
"Gary Trent"	0.0763989
"Keith Primeau"	0.0758656
"Jamal Mashburn"	0.075709
"Christian Vieri"	0.0755664
"Aaron Gavey"	0.0754182
"Dmitri Khristich"	0.0752082
"Elden Campbell"	0.074873
"Tim Thomas"	0.0748718
"Mia Hamm"	0.0747768
"Sean Farnham"	0.0745066
"Brenden Morrow"	0.0745024
"Jason Kapono"	0.0735421
"Mark Bryant"	0.0731508
"SCOTT BURRELL"	0.0728213
"Matt Barnes"	0.0725725
"Vladimir Malakhov"	0.0723196
"Luis Hernandez"	0.072174
"Glen Rice"	0.0719758
"Sandis Ozolinsh"	0.0716003
"Kurt Thomas"	0.0715604
"Kendall Gill"	0.0712402
"Tom Gugliotta"	0.0710349
"Vladimir Tsyplakov"	0.0709021
"Walt Williams"	0.0707963
"Teppo Numminen"	0.0707857
"Mark Recchi"	0.0707628
"Christian Laettner"	0.0707301
"Ron Francis"	0.0706863
"Travis Knight"	0.0705654
))
("Bill Haselman" (desc 1644.3) (sims
"Gabe Kapler"	0.217035
"Tony Eusebio"	0.184579
"Gregg Zaun"	0.174811
"Tony Clark"	0.172984
"Brook Fordyce"	0.171372
"Luis Alicea"	0.165909
"Bobby Higginson"	0.163037
"Brad Ausmus"	0.162792
"Chad Kreuter"	0.162117
"Damian Miller"	0.157103
"Scott Hatteberg"	0.15309
"Jorge Fabregas"	0.152164
"Pudge Rodriguez"	0.146739
"Greg Myers"	0.146086
"Chris Widger"	0.143134
"Damion Easley"	0.14255
"Todd Pratt"	0.141698
"Frank Catalanotto"	0.14091
"Bobby Estalella"	0.139137
"Einar Diaz"	0.137788
"Tom Lampkin"	0.13637
"Ivan Rodriguez"	0.132321
"Dean Palmer"	0.131602
"Paul LoDuca"	0.130058
"Paul Bako"	0.129762
"Kelly Stinnett"	0.128271
"CARLOS HERNANDEZ"	0.128092
"Darrin Fletcher"	0.125111
"Bengie Molina"	0.124768
"Eddie Perez"	0.122712
"Phil Nevin"	0.1226
"Matt Walbeck"	0.12049
"Todd Walker"	0.120262
"Joe Girardi"	0.119396
"Mike Lieberthal"	0.118793
"Deivi Cruz"	0.118715
"Eddie Taubensee"	0.116127
"Jeff Conine"	0.114418
"Tyler Houston"	0.113479
"Quinton McCracken"	0.112575
"Matt Franco"	0.11252
"Ruben Mateo"	0.112074
"Jason Kendall"	0.111944
"Chad Curtis"	0.111591
"Angel Pena"	0.110989
"Jason Varitek"	0.110496
"Rusty Greer"	0.109983
"Brad Miller"	0.109109
"Mike Lamb"	0.107484
"Brent Mayne"	0.106399
"Mike Simms"	0.104281
"Eric Owens"	0.102918
"Marvin Benard"	0.102409
"Luis Sojo"	0.10186
"Charles Johnson"	0.101847
"Mitch Meluskey"	0.101721
Abreu	0.100971
"Mike Sweeney"	0.100527
"Jim Leyritz"	0.100227
"Todd Hundley"	0.0999542
"Mark McLemore"	0.0998919
"Mark Clark"	0.0997204
"Gregg Jefferies"	0.0982983
"Luis Polonia"	0.0977648
"GERONIMO BERROA"	0.0976466
"Dave Martinez"	0.0974983
"Jeremy Giambi"	0.096993
"Royce Clayton"	0.0967626
Aurilia	0.0967498
Lieberthal	0.0963757
"Kevin Elster"	0.0957533
Lankford	0.0952543
"Drew Bennett"	0.0949757
"Pat Meares"	0.0946091
Burnitz	0.0945696
"Mike Bordick"	0.094252
Ausmus	0.0941732
"Karim Garcia"	0.0938568
"Rondell White"	0.0927375
"Tom Goodwin"	0.0923777
"Otis Nixon"	0.0923443
"Chris Warren"	0.0921015
"Tony Hutson"	0.0918935
"Todd Zeile"	0.0915079
"Dave Brown"	0.0911344
"Dan Wilson"	0.0906052
"Joe Kleine"	0.090027
"Brian Johnson"	0.0896825
"Delino DeShields"	0.0895605
"Ron Gant"	0.0890474
"Javy Lopez"	0.0879566
"Carlos Lee"	0.0874683
"Ray Durham"	0.0874619
"Derrek Lee"	0.0870194
"Ricky Ledee"	0.085757
"Will Clark"	0.0851231
"Midre Cummings"	0.0849175
"Jason McDonald"	0.0841922
"Troy O'Leary"	0.0841918
"Lee Stevens"	0.0830449
"Jorge Posada"	0.0828377
"Bruce Aven"	0.0825458
"Trenidad Hubbard"	0.0822829
"Brian Hunter"	0.0819411
"Steve DeBerg"	0.0817701
Fullmer	0.0816512
"Joe Randa"	0.0813986
"Jose Guillen"	0.0813488
"David Segui"	0.0813395
"Bill Wennington"	0.0812842
"Kent Graham"	0.0812571
"Magglio Ordonez"	0.0811842
"John Jaha"	0.0807856
Bautista	0.0803901
Elster	0.0802408
"Alex Gonzalez"	0.0800385
"Otis Thorpe"	0.0798967
"Keith Lockhart"	0.0797862
"Todd Greene"	0.0794048
"Will Perdue"	0.0792981
"Carlos Delgado"	0.0792066
Mabry	0.0787957
"Mark Johnson"	0.0787298
Cirillo	0.0785612
Cordero	0.0785296
"Kevin Orie"	0.0784984
"Ben Grieve"	0.0782861
"Ellis Burks"	0.0782802
Sexson	0.0780747
"Sherman Douglas"	0.078068
Rolen	0.0780582
"Geoff Jenkins"	0.0777403
"Mark Kotsay"	0.0776502
"Darren Bragg"	0.0776424
"Jeff Huson"	0.0773769
"Benji Gil"	0.0770431
McGriff	0.0767791
"John Wetteland"	0.0766703
"Mike Lansing"	0.0764823
"Jose Vidro"	0.0764518
"B.J Surhoff"	0.076344
"Trot Nixon"	0.0761779
"Paul Konerko"	0.0759874
"Craig Paquette"	0.0759691
"Sandy Alomar"	0.0759076
"Darren Oliver"	0.0757603
"Tim Bogar"	0.0755892
"Dante Bichette"	0.0755054
"Jim Druckenmiller"	0.0752857
"Roberto Kelly"	0.0752835
"Warren Morris"	0.0751073
"John Mabry"	0.0750887
"Kevin Young"	0.0750738
"Rafael Palmeiro"	0.0748017
"Damon Buford"	0.0747361
"Danny Bautista"	0.0747225
Renteria	0.0746183
"Corey Koskie"	0.0745463
"Cristian Guzman"	0.074439
"Dennis Scott"	0.074381
"Tony Phillips"	0.0743188
"Brian Daubach"	0.0742901
"Rich Becker"	0.0742311
"Al Martin"	0.0740603
"Jose Offerman"	0.074055
"Charlie Hayes"	0.0740158
"Jon Nunnally"	0.0740024
"Henry Rodriguez"	0.0739736
"Johnny Damon"	0.0739064
"Shawn Green"	0.0738578
"Ricky Gutierrez"	0.0737052
Veras	0.0736223
Vidro	0.0735471
"Mike Scioscia"	0.0733791
"Darren Lewis"	0.0728051
"Dan Cloutier"	0.0725525
"Carlos Beltran"	0.0725072
"Mark Loretta"	0.0724099
"Kurt Abbott"	0.072372
Dellucci	0.0722473
"Dmitri Young"	0.0722269
"Greg Anthony"	0.0720804
"Damon Huard"	0.0717093
"Russ Johnson"	0.0715769
"Richie Sexson"	0.0715077
"Scott Spiezio"	0.071485
"Rob Ducey"	0.0712639
"Scott Zolak"	0.0711616
"Brad Fullmer"	0.071035
"Shannon MacMillan"	0.0708551
"Jeff Zimmerman"	0.0708538
"CORIE BLOUNT"	0.0706806
"Jeff Cirillo"	0.0704693
"Justin Thompson"	0.070441
"Jamie Moyer"	0.070323
"Bonzi Wells"	0.0700499
"Ozzie Guillen"	0.0698514
"Cliff Floyd"	0.0694951
Lofton	0.0694108
"Jeff King"	0.0693812
))
("Bill King" (desc 1122.76) (sims
"John William King"	0.274747
"Shawn Berry"	0.186474
"Lawrence Russell Brewer"	0.122145
"Shawn Allen Berry"	0.0941605
Barrionuevo	0.0935963
"Theodore Kaczynski"	0.0922983
Markhasev	0.0852315
"Timothy McVeigh"	0.0845665
"Angel Maturino Resendiz"	0.0825025
Laudor	0.0809074
Papon	0.0775378
Schaffer	0.0766583
"David Graham"	0.0743752
"Wang Dan"	0.0726023
Lacresha	0.0722457
Akayesu	0.0716046
Mease	0.071469
"Terry Nichols"	0.0711426
"Jack Kevorkian"	0.0706703
"Maturino Resendiz"	0.0696267
Karbaschi	0.0673471
Farber	0.0667583
Abernathy	0.0657156
Imelda	0.0656988
Connell	0.0655426
Priebke	0.0653243
Carneal	0.0639785
Martorano	0.0638825
"Charles Schwarz"	0.0636581
Halloran	0.0636363
Zhivkov	0.0625006
Berenson	0.0608142
Agca	0.0601372
Fortier	0.0599048
Crocker	0.0597433
"white person"	0.0591822
McDuff	0.0590882
Gutman	0.0589173
Rea	0.0585047
Siripongs	0.0584777
Hsia	0.0580534
Shulman	0.0580203
Hammett	0.0579714
Craxi	0.0578938
McVeigh	0.0574581
Hatfield	0.0574509
Raduyev	0.0572639
Garza	0.0560352
"Michael Skakel"	0.0550024
Echegaray	0.0541952
Kaczynski	0.0540117
"Black Panther"	0.0535768
"Yigal Amir"	0.0530358
Sheinbein	0.0528841
Kerik	0.0527019
Machado	0.0524601
Eliot	0.0524082
Gotti	0.0522318
Macdonald	0.0520762
Schwarz	0.0519644
"Alex Ferguson"	0.0511372
Alves	0.0510659
Sweeting	0.0510596
Kambanda	0.0508632
Trantino	0.0507011
Kiareldeen	0.0506362
Robison	0.0505597
Hofer	0.050557
Pollard	0.0505483
Sebaggala	0.0504561
Jelisic	0.0499928
Klestil	0.0494118
Tuinei	0.0493708
"Raul Salinas"	0.0493642
Schmitz	0.0493312
Kimeses	0.0488791
"Abdullah Ocalan"	0.0486426
"Matthew Shepard"	0.0485293
"John Doe"	0.0484049
Ackerman	0.0483875
Nichols	0.0483156
Capano	0.0481835
Tarver	0.0479794
"Roy Jones Jr."	0.047937
Passarella	0.0478463
Livoti	0.0478268
Cheung	0.0473608
Esposito	0.0472855
Faulder	0.046988
Manbar	0.0463288
"David Sibandze"	0.0462494
Lansky	0.0461582
Amir	0.0460919
Echols	0.0460388
Alarcon	0.0459062
Tarawneh	0.0457707
co-defendants	0.0453163
Sithole	0.0452843
"Carole Sund"	0.0452113
"Felix Savon"	0.0451346
Mattysse	0.0448102
Vice-Foreign	0.04462
Julius	0.0445482
Nikitin	0.0445428
Beckwith	0.0445034
Sade	0.04445
"Mike Williams"	0.0443883
Rodionov	0.0440727
Narayanan	0.0438899
"Susan McDougal"	0.0438552
"El Hage"	0.0438148
guardsmen	0.04377
Hindery	0.0436863
Yashin	0.0435101
"Iranian Jews"	0.0433424
Stayner	0.0430141
Scelzi	0.0429612
Hallinan	0.0428795
co-defendant	0.0428732
Vasile	0.042811
Bowers	0.0427813
Ziegler	0.0427355
"David Irving"	0.0427268
Gallagher	0.0426994
"Lino Oviedo"	0.0426279
Brownlee	0.0425043
Hirst	0.0424597
"Aryeh Deri"	0.0424195
UTEP	0.0422424
Adair	0.0421796
Schweitzer	0.0421371
Resendez-Ramirez	0.0420717
"President of the United States"	0.0420669
Odeh	0.0418978
Gantamirov	0.0418865
USTA	0.0418458
Kagame	0.0416996
"Richard Jewell"	0.0416551
"NBC News"	0.0415011
resister	0.041463
"Mark O. Barton"	0.0414147
Bonanno	0.0413701
Soto	0.0412765
Kehoe	0.0412426
Sarsour	0.0412234
Mitnick	0.0410232
Hazelwood	0.0408757
Jimy	0.0404987
ex-convict	0.0404564
"Eric Robert Rudolph"	0.0404324
Panchen	0.0402967
Judd	0.0402773
"Ray Lewis"	0.0401816
Nkomo	0.0401046
))
("Bill Lann Lee" (desc 1501.88) (sims
"Joel Klein"	0.264967
"Kim Jong-pil"	0.198681
"Rolf Ekeus"	0.191726
"Ramsey Clark"	0.18226
Ekeus	0.174191
"James Hormel"	0.172297
"Eric Holder"	0.161159
Tarawneh	0.149003
"Mike Moore"	0.148894
Paez	0.148631
"Horst Koehler"	0.148484
Hormel	0.148212
"Bill Lockyer"	0.144157
"Sergei Stepashin"	0.144042
"Hans Blix"	0.142212
"Richard Blumenthal"	0.142154
"Richard Holbrooke"	0.133601
Sahnoun	0.130724
Stepashin	0.129398
Majko	0.127619
"Chea Sim"	0.126587
"Sergei Kiriyenko"	0.125642
"Stuart Eizenstat"	0.125572
"Viktor Chernomyrdin"	0.125111
"Boutros Boutros-Ghali"	0.122934
"Marzuki Darusman"	0.122885
"Mikhail Kasyanov"	0.120469
"postmaster general"	0.119663
Kiriyenko	0.116749
Rodionov	0.116123
"Lino Oviedo"	0.113826
"Wim Duisenberg"	0.11268
Ghalib	0.111308
"William Weld"	0.110194
Lari	0.109245
"Dennis Vacco"	0.108289
"Lawrence Summers"	0.107841
CEC	0.105733
Mineta	0.105722
"Ronnie Flanagan"	0.105605
"Robert Bork"	0.105592
"George Robertson"	0.105191
"Vladimir Putin"	0.104946
"Ariel Sharon"	0.104057
Streep	0.103984
Moseley-Braun	0.103408
"Renato Ruggiero"	0.103216
"Wolfgang Schaeuble"	0.101793
"Amos Wako"	0.1015
"Clarence Thomas"	0.10147
Fraga	0.101454
Moratinos	0.100834
Guterres	0.10077
"Eliot Spitzer"	0.100648
"Bernard Kouchner"	0.099837
"Sepp Blatter"	0.0996415
Zeroual	0.0991484
Kabariti	0.0984622
"Charles LaBella"	0.0981263
"Xie Zhenhua"	0.0978846
"Peter Verniero"	0.0976927
"Barry McCaffrey"	0.0974713
"Barry R. McCaffrey"	0.0971654
"Minister Shlomo Ben-Ami"	0.0965397
Holbrooke	0.0963139
"Tim Fischer"	0.0959078
Chernomyrdin	0.0955819
Primakov	0.0954973
"Bashar Assad"	0.0953116
"Xanana Gusmao"	0.0943703
Misuari	0.0932367
"John Cornyn"	0.0930361
Blatter	0.0922637
"Klaus Naumann"	0.0922203
"Richard C. Holbrooke"	0.0914334
Ruthardt	0.0912219
McGuinness	0.0911764
Stoyanov	0.0911391
Klein	0.0909709
"Michel Camdessus"	0.0909027
"solicitor general"	0.0904371
"Dan Morales"	0.0901062
"John Koskinen"	0.0900624
Karimov	0.0895706
Rossotti	0.0884887
Napolitano	0.0883484
"Elyakim Rubinstein"	0.0879323
Brittan	0.087827
Verniero	0.0875125
Bhattarai	0.0875002
"Scott Harshbarger"	0.0874613
Weizman	0.0873731
"Yukio Hatoyama"	0.0871884
Naumann	0.0869111
"John Anderson"	0.0866972
Alatas	0.086591
Prewitt	0.0865755
Jayakumar	0.0860222
Lipponen	0.0854981
Kasyanov	0.0854346
"Abu Mazen"	0.0848917
Vasile	0.0848459
Prueher	0.084735
"Edmund Ho Hau Wah"	0.0846405
"John Morris"	0.0845886
Ben-Ami	0.0840622
Venables	0.084007
Ruehe	0.0838386
Velayati	0.0838003
"Billy Payne"	0.0836707
Koehler	0.0834503
Shevardnadze	0.0834282
Akbar	0.0827219
Xiong	0.0822385
"George Tenet"	0.0820641
"Alan Greenspan"	0.0819238
Ikimi	0.0819225
"Ung Huot"	0.0810778
Lebed	0.0809386
Bulatovic	0.0808131
"Ivan Kostov"	0.0807307
Brundtland	0.0802579
Meguid	0.0800631
"Dai Bingguo"	0.0800458
Meles	0.0799429
Maslyukov	0.0797437
Danforth	0.0796527
"Stanley Fischer"	0.079397
Muoi	0.0793245
Harmoko	0.0789111
"Dick Cheney"	0.0788743
Narayanan	0.0786145
Sassa	0.0785679
Abdel-Meguid	0.078488
"Alexander Lebed"	0.0783566
Holl	0.077982
"Xiong Guangkai"	0.0778799
Blix	0.0776692
Wiranto	0.0776329
Ralston	0.0775494
"Alexander Shokhin"	0.0774011
Mori	0.0772844
"Oded Eran"	0.0770229
Sensenbrenner	0.0769099
"Igor Sergeyev"	0.0768602
"Richie Phillips"	0.0765462
"Boris Fyodorov"	0.0763214
Diouf	0.0761354
"vice chancellor"	0.0759446
Komura	0.0756293
"Shaul Mofaz"	0.0754465
Buzek	0.075368
Gujral	0.0752598
Zou	0.0750515
"Lee Hsien Loong"	0.0749606
wen	0.0748575
"Robert F. Kennedy"	0.0745541
Granic	0.0740409
"Wang Zhongyu"	0.0737308
"de Charette"	0.0736042
D.A.	0.0735368
Nateq-Nouri	0.0735049
Rais	0.0734885
Bashar	0.073466
Merritt	0.0731091
Abubakar	0.073074
"Dan Lungren"	0.0729827
Aoki	0.072886
Spyridon	0.072797
Orban	0.0727269
Pyle	0.0726949
"Pandeli Majko"	0.072645
Sergeyev	0.072531
Lahoud	0.0724152
"Oladipo Diya"	0.0723999
Chavalit	0.0723416
Rong	0.0723334
Wolfensohn	0.0723044
"Khin Nyunt"	0.0721107
Fino	0.0720449
Yadav	0.071832
"Joe Lieberman"	0.0717359
"William Walker"	0.0715972
Ganzouri	0.0712714
Shareh	0.0712392
Indyk	0.071206
Kerasiotes	0.0708719
Dowd	0.0708625
Caddell	0.0707626
Admiral	0.0707169
McNamara	0.0706364
Azizah	0.0704353
Zhirinovsky	0.0700552
Malu	0.0697628
Jovanovic	0.0696671
Moreno	0.0696011
Katsav	0.0693799
Kostov	0.0693222
"Joseph Lieberman"	0.0692017
Chubais	0.068914
))
("Bill Lockyer" (desc 1335.07) (sims
"Richard Blumenthal"	0.285315
"Dennis Vacco"	0.251328
"Eliot Spitzer"	0.236938
"Peter Verniero"	0.214656
"Dan Morales"	0.202156
"Ramsey Clark"	0.194941
"Elyakim Rubinstein"	0.188426
"Dan Lungren"	0.187902
"John Cornyn"	0.181739
"Scott Harshbarger"	0.180018
Lockyer	0.171152
Ghalib	0.166647
"Marzuki Darusman"	0.161446
"Joel Klein"	0.160489
"Mike Moore"	0.158119
"Amos Wako"	0.157915
"Eric Holder"	0.155439
"Tom Hayden"	0.152945
"Bill Lann Lee"	0.144157
"U.S. Immigration and Naturalization Service"	0.141243
"Department of Environmental Protection"	0.138972
"American Association of Health Plans"	0.137117
Hynes	0.136502
"Department of Corrections"	0.13361
Moakley	0.132359
"Department of Public Safety"	0.13043
"Department of Environmental Conservation"	0.122713
"Securities Industry Association"	0.117342
"Department of Veterans Affairs"	0.11607
"Health and Human Services Department"	0.110342
"National Republican Congressional Committee"	0.109076
"Association of Flight Attendants"	0.108474
"Barry McCaffrey"	0.107053
Spitzer	0.106943
"Air Transport Association"	0.105973
Cornyn	0.105869
Ponte	0.104834
"Dan Glickman"	0.103952
Danforth	0.103771
Ruthardt	0.103749
"Klaus Naumann"	0.103192
"Health Department"	0.102443
"Board of Elections"	0.102211
Garzon	0.100084
Easley	0.0998798
"Air Line Pilots Association"	0.0985222
Cleary	0.0971796
"Mark Green"	0.0971205
"Max Baucus"	0.0963018
"American Bankers Association"	0.0959552
Smaltz	0.095693
"Education Department"	0.0953919
"Billy Tauzin"	0.0953091
Torricelli	0.0951965
"French Foreign Ministry"	0.0947891
"Department of Health"	0.0947582
Rendell	0.0946873
"Transportation Department"	0.0946476
Nadler	0.09426
"Carolyn Maloney"	0.0940234
"Department of Public Health"	0.0932896
"Department of Justice"	0.0929518
"Department of Commerce"	0.0917147
"Justice Ministry"	0.0916098
Advani	0.0901221
"Renato Ruggiero"	0.0899287
"Gray Davis"	0.0893327
"Handgun Control"	0.0891808
"David Dreier"	0.0886275
"Sierra Club"	0.0877759
Westendorp	0.0874637
"Federal Trade Commission"	0.0873271
Molinari	0.0871058
Mullinax	0.0870562
Kostov	0.0867362
Harkin	0.0865684
"Department of Transportation"	0.0864914
"National Highway Traffic Safety Administration"	0.0864398
Morgenthau	0.086103
Leahy	0.0858879
Napolitano	0.0856719
"welfare worker"	0.0855249
"Log Cabin Republicans"	0.0850882
"Consumers Union"	0.084995
Glendening	0.0847103
"Department of Education"	0.0846757
"Human Rights Campaign"	0.0843716
Thurmond	0.0843442
Hevesi	0.0842838
"Sepp Blatter"	0.0841785
Biden	0.084073
"House Majority Whip Tom DeLay"	0.0839329
ACLU	0.0836874
Lautenberg	0.0833348
Klestil	0.0833144
"Barry R. McCaffrey"	0.0832501
Rawabdeh	0.0831093
"Nancy Pelosi"	0.0830421
Jayakumar	0.0827346
NHTSA	0.0826718
"Barbara Boxer"	0.0825608
"Amnesty International"	0.0821841
"Texas Department of Public Safety"	0.0821629
Meissner	0.082156
Lungren	0.0820387
"Southern Poverty Law Center"	0.0819068
"district attorney"	0.081898
McCaffrey	0.0818939
Aleman	0.0817865
Ikimi	0.0816782
Brundtland	0.0816439
Cleland	0.0815641
Passarella	0.0814761
"Pedro Rossello"	0.0813719
"Department of Labor"	0.0812231
Husseini	0.081168
"National Federation"	0.0809075
"Richard Mandella"	0.0807204
"Financial Supervisory Agency"	0.0806738
Zhirinovsky	0.0806376
Solich	0.0802665
Naumann	0.0802425
Fuente	0.0799404
Knowles	0.0793851
"Handgun Control Inc."	0.0793311
"Cuban American National Foundation"	0.0791886
Hardy	0.0790168
"National Election Committee"	0.0789416
Reilly	0.0789383
"Mary Jo White"	0.0787146
"National Marine Fisheries Service"	0.0786935
Skuratov	0.0786913
Gephardt	0.0784195
NTSB	0.0782998
Prewitt	0.0782561
Carnahan	0.0780999
"Iranian Foreign Ministry"	0.0780498
"Janet Reno"	0.0777903
Finkel	0.0776346
Whipple	0.077499
Alioto	0.0772162
Tauzin	0.0769058
Blumenthal	0.0768475
"AMR Corp."	0.0768033
"Edward M. Kennedy"	0.0766635
"Department of Health and Human Services"	0.0762609
OSHA	0.0759806
Golding	0.0759278
Butterworth	0.0759193
"US Supreme Court"	0.0758725
"Department of Foreign Affairs"	0.0756726
McCall	0.0753173
Gramm	0.0752935
"Tom Vilsack"	0.0752877
"Office of Management and Budget"	0.0752756
Engelberg	0.0752653
"Port Authority of New York"	0.0752421
Comptroller	0.0751734
"inspector general"	0.0749498
"John Lynch"	0.074521
Daschle	0.0745175
Ota	0.0744504
"Supreme Judicial Court"	0.0743985
"Javier Solana"	0.0743485
"Pete Wilson"	0.0742935
"solicitor general"	0.0742082
Moynihan	0.0741406
"Vladimir Yakovlev"	0.0740964
Nickerson	0.074092
Insulza	0.0739774
Yazdi	0.0739683
Satcher	0.0737907
Bustamante	0.0737829
"Allied Pilots Association"	0.0736708
"Ethics Commission"	0.0736078
"Con Edison"	0.0735297
Strauss-Kahn	0.0735102
"Jerry Brown"	0.0735038
"Michael Moore"	0.0732956
Ainge	0.0732458
Zeroual	0.0729238
"John Morris"	0.0728437
Azizah	0.0727266
Musa	0.0727207
"Loretta Sanchez"	0.0725064
"English Football Association"	0.0723865
Auriemma	0.0723392
NLRB	0.0721728
Jovanovic	0.0721414
Ciampi	0.0720623
"Department of Defense"	0.0719349
"Lee Hamilton"	0.0718744
Ogata	0.0718447
"federal office"	0.0718096
Galvin	0.0717251
Scalfaro	0.0716686
D-Mont.	0.0716483
"U.S. Labor Department"	0.0716305
Baucus	0.0716232
"National Association of Broadcasters"	0.0716069
))
("Bill Maher" (desc 2384.97) (sims
"George Carlin"	0.14018
"Laura Schlessinger"	0.120662
"Jay Leno"	0.117545
"Conan O'Brien"	0.11327
"David Letterman"	0.108856
"Phil Donahue"	0.101993
"Rosie O'Donnell"	0.0974778
"Jon Stewart"	0.0963143
"Larry King"	0.0962025
"Joan Rivers"	0.0953742
"Chris Rock"	0.0925329
"Geraldo Rivera"	0.0881989
"David Spade"	0.0847305
"Charles Gibson"	0.0839458
"Rush Limbaugh"	0.083437
"Katie Couric"	0.080042
"Al Franken"	0.0784548
"Bob Costas"	0.077408
"Jenny Jones"	0.0759415
"Richard Pryor"	0.0746446
"Norm MacDonald"	0.0744646
"Dennis Miller"	0.0743518
"Billy Crystal"	0.0733217
"Kathie Lee Gifford"	0.070658
"Don Imus"	0.0702227
"Regis Philbin"	0.0679499
"Ted Koppel"	0.0671154
"Whoopi Goldberg"	0.0668054
"Jerry Springer"	0.0653845
"Jerry Lewis"	0.062383
"Alan Keyes"	0.0603316
Huffington	0.0597645
"Matt Lauer"	0.0596423
"Martin Lawrence"	0.057809
"Drew Carey"	0.0571913
"Lou Dobbs"	0.0558013
"Oprah Winfrey"	0.0554757
"Howard Stern"	0.0551432
"Adam Sandler"	0.0538165
"Garry Shandling"	0.0536653
D-Minn.	0.0526029
"Chevy Chase"	0.0523441
"Barbara Walters"	0.0508931
"Johnny Carson"	0.0508473
"Eddie Murphy"	0.0498805
"Mike Nichols"	0.0488703
"George Burns"	0.0487596
"Chris Berman"	0.0482204
"Jerry Seinfeld"	0.0476451
O'Donnell	0.047254
"Bryant Gumbel"	0.0469782
GUMBEL	0.046612
"Ted Danson"	0.0464909
"Oliver North"	0.0463277
"Ellen DeGeneres"	0.0457177
"Keith Olbermann"	0.045547
"Martin Short"	0.0426006
"Morgan Freeman"	0.0415522
"Sam Donaldson"	0.0412612
"Dylan McDermott"	0.0404051
Leno	0.0400533
))
("Bill McCollum" (desc 3911) (sims
"Mark Foley"	0.396065
"Charles Canady"	0.353277
"Dan Miller"	0.262405
"James Rogan"	0.258946
"Tillie Fowler"	0.254013
"Asa Hutchinson"	0.238954
"Porter Goss"	0.230398
"Lindsey Graham"	0.216056
"Connie Mack"	0.206892
"Ed Bryant"	0.205155
"Tom Campbell"	0.194334
"James Sensenbrenner"	0.191225
"Steve Chabot"	0.182745
"Bob Barr"	0.174284
"Barney Frank"	0.169391
"J.C. Watts"	0.162209
"John Conyers"	0.161713
"Christopher Smith"	0.158728
"David Dreier"	0.157422
"Jim Kolbe"	0.157263
"Dan Burton"	0.156547
"Benjamin Gilman"	0.153813
"Henry Hyde"	0.15103
"Christopher Shays"	0.14925
"George Gekas"	0.148221
"Christopher Cox"	0.145539
"Lamar Smith"	0.142387
"Linda Smith"	0.141373
"Charlie Norwood"	0.139791
"Jack Kingston"	0.132743
"Ron Paul"	0.128925
"Jerrold Nadler"	0.128811
"Bob Franks"	0.127628
"Jim Bunning"	0.127384
"Steve Largent"	0.123949
"John Boehner"	0.123884
"Nita Lowey"	0.123557
"Lee Hamilton"	0.123339
"Charles E. Schumer"	0.122725
"Peter King"	0.119447
"Rick Lazio"	0.119009
"John Lewis"	0.1185
"Don Young"	0.117951
"Jim Leach"	0.116997
"Carolyn McCarthy"	0.116169
"John Linder"	0.11542
"Tom DeLay"	0.114949
"Bill Archer"	0.114182
"Mark Sanford"	0.113958
"Fred Thompson"	0.11391
"Patrick Kennedy"	0.113854
"George Miller"	0.113083
"John Dingell"	0.112923
"Marge Roukema"	0.112767
"Bob Graham"	0.109329
"Chris Smith"	0.108984
"Martin Meehan"	0.108149
"Matt Salmon"	0.107885
"Charles Rangel"	0.107171
"John Kasich"	0.106962
"Tom Coburn"	0.106826
"Maxine Waters"	0.106693
"Bernard Sanders"	0.105905
"Jennifer Dunn"	0.104529
"Henry Bonilla"	0.104457
"Jack Quinn"	0.102547
"Mark Green"	0.101592
"Nancy Pelosi"	0.101148
"Curt Weldon"	0.100403
"Charles Schumer"	0.0993834
"Sheila Jackson Lee"	0.0987304
McCollum	0.0985191
"John Sweeney"	0.0968935
"Billy Tauzin"	0.0961874
R-Ark.	0.0961293
"Dick Armey"	0.09586
"John Ashcroft"	0.0953576
"Martin Frost"	0.0938594
"Jose Serrano"	0.0936157
"Arlen Specter"	0.0932454
"George Nethercutt"	0.0930616
"George Voinovich"	0.0921044
"Lloyd Doggett"	0.0920973
"Paul Coverdell"	0.0920518
"Bob Livingston"	0.0916508
"Susan Molinari"	0.0916308
"Bill Frist"	0.0915397
"Phil Gramm"	0.0914759
"Tom Davis"	0.0914252
"Jim Gilmore"	0.0913874
"Jon Kyl"	0.0901733
"Bill Thomas"	0.0896779
"Sherwood Boehlert"	0.0891375
"Frank Luntz"	0.0887139
"John Danforth"	0.08759
"Don Nickles"	0.0864259
"Kay Bailey Hutchison"	0.08513
"Frank Lautenberg"	0.0845845
"Pete Domenici"	0.0835837
"David Bonior"	0.0830539
"Olympia Snowe"	0.0829328
"Spencer Abraham"	0.0824145
"Connie Morella"	0.0816664
"John Chafee"	0.0816381
"Jack Gargan"	0.0813286
"Richard Gephardt"	0.0807614
R-Ill.	0.0807028
"James Jeffords"	0.0805911
"Slade Gorton"	0.079779
Hutchinson	0.0782542
"Daniel Patrick Moynihan"	0.0773747
"Mary Bono"	0.0770453
"Bob Smith"	0.0769642
"Robert Menendez"	0.0764077
"Peter Fitzgerald"	0.0758778
"Amo Houghton"	0.0753271
"Carolyn Maloney"	0.0751192
"Orrin Hatch"	0.0749771
"Robert Livingston"	0.0745175
"Geraldine Ferraro"	0.0740881
"Lauch Faircloth"	0.0736197
"Tommy Thompson"	0.0734101
"Jim McDermott"	0.0732485
"Kit Bond"	0.0732025
"Greg Ganske"	0.0731099
"Barbara Boxer"	0.073004
"Charles Grassley"	0.072917
"John Conyers Jr."	0.0719514
"Richard Shelby"	0.0719364
"Henry Waxman"	0.0715286
R-Pa.	0.0713335
"Louise Arbour"	0.071128
"Dan Lungren"	0.0701002
"Alfonse D'Amato"	0.0699887
"William Roth"	0.0694677
"Fred Upton"	0.069378
"Ben Nighthorse Campbell"	0.0691183
"Dennis Hastert"	0.0689096
conferees	0.0684711
"Sue Kelly"	0.067501
"Loretta Sanchez"	0.067208
"Trent Lott"	0.0671278
"Zoe Lofgren"	0.0671129
"Ted Stevens"	0.066444
"Pat Roberts"	0.0662296
"Rick White"	0.0661315
"David Beasley"	0.0657867
"Tim Hutchinson"	0.0657102
"Sam Brownback"	0.0656031
"Mike DeWine"	0.0653542
"Charles Stenholm"	0.0651625
Mack	0.0648839
"Jack Kemp"	0.0645807
"Dennis Vacco"	0.0645221
"Robert Ray"	0.0644687
"Vojislav Kostunica"	0.0642132
"House Majority Whip Tom DeLay"	0.0637011
"Jeb Bush"	0.0635712
"Mitch McConnell"	0.0633454
"Illinois Republican"	0.063232
R-Tenn.	0.0625218
Ponte	0.0624746
"Jesse Helms"	0.0619395
"John G. Rowland"	0.0615645
"John Warner"	0.0611356
Granik	0.0610443
"Alejandro Toledo"	0.0608963
"Nancy Johnson"	0.0607767
"Rick Santorum"	0.060699
R-Texas	0.0600121
"Roy Barnes"	0.0600085
"William Weld"	0.059336
"Robert Torricelli"	0.0587166
"Yossi Beilin"	0.0584699
"Yossi Sarid"	0.0582814
"Scott Harshbarger"	0.0582792
"Norm Dicks"	0.0580524
Councilman	0.0577381
D-Ark.	0.057683
"Matt Fong"	0.0576151
"Jim Hodges"	0.0573168
"Lincoln Chafee"	0.0571021
"Tom Harkin"	0.0570872
"Rod Grams"	0.0569826
"Mike Foster"	0.0568574
"John Engler"	0.0568085
"Strom Thurmond"	0.0567877
"Jim Turner"	0.0567299
"Tony Coelho"	0.0566603
"Richard Lugar"	0.0566408
"Charlene Barshefsky"	0.0564053
Meguid	0.0562416
"Gary Johnson"	0.0560915
"David Schippers"	0.0559922
"Faisal Husseini"	0.0556824
Ruehe	0.0554061
"Pete Wilson"	0.0553842
"Charles LaBella"	0.0553055
"Richard Blumenthal"	0.0552572
"Michael Forbes"	0.0548698
))
("Bill Moyers" (desc 1500.31) (sims
"KEN BURNS"	0.192947
"William Kristol"	0.11442
Itogi	0.112285
"Ted Koppel"	0.101581
"Andrei Babitsky"	0.0992916
"Christiane Amanpour"	0.0969427
"firing line"	0.0940884
"Edward R. Murrow"	0.0937753
"Connie Chung"	0.0854278
"Peter Arnett"	0.0853726
"Walter Cronkite"	0.0840681
"Shao Yunhuan"	0.0791432
"Cokie Roberts"	0.0788778
frontline	0.0788737
"National Thoroughbred Racing Association"	0.077663
"Frank Rich"	0.0776358
"Sam Donaldson"	0.0769355
"Inside Edition"	0.0755775
"David Halberstam"	0.0719454
"Bob Woodward"	0.0711389
"George Will"	0.0710161
"Tim Russert"	0.0682713
"Lou Dobbs"	0.0661671
"Jim Lehrer"	0.0651427
"International Skating Union"	0.0648543
"Diane Sawyer"	0.0637599
Nightline	0.0629276
"Patrick J. Buchanan"	0.0620134
"John Reed"	0.0613282
"Matt Lauer"	0.0612089
Lehrer	0.0602528
newswoman	0.0594288
Inquirer	0.0583874
VH@	0.057049
"Mike Wallace"	0.0568977
"Jim Gray"	0.0562511
"Michael Murphy"	0.0562456
newscaster	0.0562451
"Aaron Spelling"	0.0559147
goosebumps	0.0558251
newsmagazine	0.0555312
"Steven Brill"	0.0536312
"relay stations"	0.0533407
NewsHour	0.0530978
"Katie Couric"	0.0527897
"news show"	0.0527371
Wiseman	0.0524725
"ad blitz"	0.0519203
"Dateline NBC"	0.0517993
"Barbara Walters"	0.050264
moralism	0.0501889
CNN/SI	0.0500097
"Dan Schnur"	0.0494154
clicker	0.0493909
"Twin Peaks"	0.0493394
Baywatch	0.0488733
"Court TV"	0.0486845
C-Span	0.0485661
experimenter	0.0482906
ABS-CBN	0.0481538
"George Stephanopoulos"	0.0478446
Austen	0.0478224
"David Remnick"	0.0475713
"situation comedy"	0.0473966
"Chris Smith"	0.0472257
"picture tube"	0.046837
Higginson	0.0467337
"Bruce Teitelbaum"	0.0463458
weatherman	0.0462713
NTRA	0.0462528
Rivlin	0.0445218
"Golf Channel"	0.0437269
"Joel Klein"	0.0436907
Lipper	0.043667
"broadcasting company"	0.0433525
APA	0.0433097
"Rush Limbaugh"	0.0430769
"Charles Gibson"	0.0424567
"Arianna Huffington"	0.0424236
Stroganoff	0.0423889
"Norman Lear"	0.0420225
"Mumia Abu-Jamal"	0.0415979
anchorman	0.0413135
repairman	0.0407192
Loeb	0.0407083
"Yediot Ahronot"	0.0406753
NOVA	0.0406006
Docudrama	0.040556
"Callista Bisek"	0.0403927
"Tex Winter"	0.0403607
"Politically Incorrect"	0.0401024
))
("Bill Mueller" (desc 2297.73) (sims
"Rich Aurilia"	0.357517
"J.T Snow"	0.331039
"Marvin Benard"	0.330977
"Herbert Perry"	0.314543
"Jeff Cirillo"	0.310748
Rolen	0.308879
"Jeff Kent"	0.297925
"Matt Lawton"	0.290168
"Russ Johnson"	0.28258
"Eric Owens"	0.280032
"Scott Spiezio"	0.278799
"Geoff Jenkins"	0.274443
"Dean Palmer"	0.271727
"Bobby Estalella"	0.269327
"Ron Coomer"	0.268763
Lankford	0.26555
"Joe Randa"	0.263151
"Charlie Hayes"	0.262594
"Warren Morris"	0.262427
"Derrek Lee"	0.26113
"Mark Kotsay"	0.25974
"Eric Chavez"	0.256346
"Jeff Conine"	0.256071
Vidro	0.254686
"Scott Rolen"	0.248738
Fullmer	0.246971
"Damian Miller"	0.246083
"Tony Batista"	0.245571
"Enrique Wilson"	0.244485
"Mark Loretta"	0.242016
"Miguel Cairo"	0.239707
"Luis Alicea"	0.238793
"Phil Nevin"	0.238053
"Damian Jackson"	0.23763
"Aaron Boone"	0.236535
"Mike Sweeney"	0.235486
"Dave Hansen"	0.234955
"Mike Lamb"	0.23433
"Cristian Guzman"	0.232824
"Travis Fryman"	0.231846
"Neifi Perez"	0.230876
"Todd Helton"	0.229882
"David Bell"	0.229572
"Paul Konerko"	0.228564
Randa	0.228033
"Bobby Abreu"	0.227611
"John Vander Wal"	0.227265
Cirillo	0.226312
"Ellis Burks"	0.225455
"Mickey Morandini"	0.223005
"Chris Widger"	0.222812
"Kevin Jordan"	0.222529
"Jose Vidro"	0.222396
"Mike Lowell"	0.221916
Higginson	0.220296
Aurilia	0.217333
"Jose Hernandez"	0.216896
"Jose Valentin"	0.216585
"Carlos Lee"	0.21543
"Bill Spiers"	0.215106
"Pat Meares"	0.214692
"Ricky Gutierrez"	0.212212
"Deivi Cruz"	0.212184
"Alex Gonzalez"	0.211753
"Rey Sanchez"	0.211245
"Matt Stairs"	0.208852
"Edgardo Alfonzo"	0.208295
"Luis Castillo"	0.20811
Renteria	0.207546
"Manny Alexander"	0.207376
"Matt Franco"	0.206686
"Russ Davis"	0.206003
"Bobby Higginson"	0.205753
"Henry Rodriguez"	0.205505
"Pat Burrell"	0.205426
"Troy Glaus"	0.205204
Abreu	0.204272
"Kevin Young"	0.203288
"Tim Bogar"	0.201635
"Ray Durham"	0.201401
"Carlos Beltran"	0.200911
Burnitz	0.200205
"Jay Bell"	0.19862
Glaus	0.197758
"David Ortiz"	0.197718
"Paul Bako"	0.196975
"Dave Hollins"	0.195599
"John Mabry"	0.19463
"Eddie Taubensee"	0.194269
"Preston Wilson"	0.193606
Spiers	0.192485
Sexson	0.191831
"Doug Glanville"	0.191504
"Dmitri Young"	0.190901
"Pokey Reese"	0.189844
"Ed Sprague"	0.189321
"Wally Joyner"	0.188947
"Dante Bichette"	0.188319
"Willie Greene"	0.188276
"Fernando Vina"	0.188144
McGriff	0.186848
"Johnny Damon"	0.186369
"Adrian Beltre"	0.185894
"Stan Javier"	0.184996
"Corey Koskie"	0.18485
"Richie Sexson"	0.184781
"Eric Karros"	0.184389
Veras	0.183544
"Barry Bonds"	0.182955
"Tony Fernandez"	0.182659
"Keith Lockhart"	0.1818
"Adam Kennedy"	0.181403
"Jason Kendall"	0.18106
"Jeffrey Hammonds"	0.180856
"Sean Berry"	0.180758
"Melvin Mora"	0.180581
"Kelly Stinnett"	0.180447
"Scott Brosius"	0.179428
"John Valentin"	0.179427
"Rondell White"	0.179135
"Lee Stevens"	0.178001
"Craig Paquette"	0.177646
"Jason Giambi"	0.177328
"Joe McEwing"	0.177225
"Mike Lansing"	0.176682
"Will Clark"	0.176682
"Todd Pratt"	0.176076
Bordick	0.175595
Glanville	0.175442
"Mike Cameron"	0.175091
Taubensee	0.175012
"Randy Velarde"	0.17481
Nevin	0.174709
"Lenny Harris"	0.174704
"Brent Mayne"	0.17435
"F.P Santangelo"	0.174321
"Ozzie Guillen"	0.174189
Tejada	0.173787
"Miguel Tejada"	0.173781
"Ken Caminiti"	0.173277
"Fred McGriff"	0.173201
"Ruben Rivera"	0.173062
Lieberthal	0.172786
"Mark Grace"	0.172761
"Wilton Veras"	0.172744
"Tony Eusebio"	0.172376
"Orlando Palmeiro"	0.172164
"Jermaine Dye"	0.172131
grieve	0.172059
"Luis Gonzalez"	0.171964
"Luis Polonia"	0.17189
"Bobby Smith"	0.171226
Alfonzo	0.171054
"Vladimir Guerrero"	0.171054
"Mike Lieberthal"	0.170852
"Jeromy Burnitz"	0.17047
"Fernando Tatis"	0.170356
"Bruce Aven"	0.17023
"Frank Thomas"	0.169613
Alicea	0.168503
"Kevin Orie"	0.167734
"Kevin Stocker"	0.167648
"Sean Casey"	0.167523
"Bengie Molina"	0.166826
"Todd Zeile"	0.166826
"Shawon Dunston"	0.166268
"Todd Walker"	0.166103
"Vinny Castilla"	0.165604
"Robin Ventura"	0.165582
"Richard Hidalgo"	0.165428
Ordonez	0.165099
"Tony Graffanino"	0.164811
"Jason Varitek"	0.164771
"Mike Bordick"	0.164681
Valentin	0.164311
"Quilvio Veras"	0.164097
"Kurt Abbott"	0.16408
Lawton	0.162171
"Erubiel Durazo"	0.16192
Dunston	0.161727
"Matt Williams"	0.161538
"Jeff Huson"	0.161332
"Bubba Trammell"	0.161304
"Trot Nixon"	0.161013
Giambi	0.160808
"Shane Andrews"	0.160749
"Desi Relaford"	0.16037
"Barry Larkin"	0.160269
"Andy Fox"	0.160185
"Marquis Grissom"	0.160023
"Tony Clark"	0.159948
Karros	0.159252
"Ray Lankford"	0.158388
"Steve Finley"	0.157075
"Benny Agbayani"	0.156906
"Tom Goodwin"	0.156319
"Brian Giles"	0.155975
Batista	0.155836
"Ron Gant"	0.155476
"John Olerud"	0.155043
Fryman	0.154688
"Lance Berkman"	0.153424
Beltran	0.153388
"Danny Bautista"	0.152547
"Butch Huskey"	0.152008
"Jose Guillen"	0.151145
Agbayani	0.150995
"Juan Encarnacion"	0.150766
"Craig Counsell"	0.150288
"Jay Payton"	0.149479
Hidalgo	0.149366
"Darren Bragg"	0.148914
"Cliff Floyd"	0.148776
Frye	0.148448
"Roger Cedeno"	0.148343
"Brian Daubach"	0.148324
"Jeff Bagwell"	0.148078
"Ben Grieve"	0.148023
Tatis	0.147855
"Shawn Green"	0.147633
"Brian Hunter"	0.147446
"Darren Lewis"	0.147302
DeShields	0.146399
"Travis Lee"	0.146133
"Cal Ripken"	0.145974
Beltre	0.145718
"Walt Weiss"	0.145608
"Chipper Jones"	0.145354
"Damon Buford"	0.145024
"Chris Gomez"	0.145015
"B.J Surhoff"	0.144413
"Jim Thome"	0.144016
"Quinton McCracken"	0.143988
"Lou Merloni"	0.143753
"Jose Offerman"	0.143658
"Rico Brogna"	0.143549
"Javy Lopez"	0.143514
"Roberto Alomar"	0.143508
Javier	0.143066
Bichette	0.14303
"Bret Boone"	0.142194
"Chuck Knoblauch"	0.142192
Olerud	0.141994
"Tony Womack"	0.141991
Varitek	0.141158
Erstad	0.1406
"Jon Nunnally"	0.140414
"Dave Martinez"	0.140106
"Brian Johnson"	0.139951
"Gary Sheffield"	0.139914
"Brad Ausmus"	0.139772
Canseco	0.139664
"Carlos Delgado"	0.139565
Bautista	0.139457
"Damion Easley"	0.13936
"Harold Baines"	0.139306
"Carlos Febles"	0.139301
"Alex Rodriguez"	0.139289
"Omar Vizquel"	0.138864
Velarde	0.138468
"Mike Stanley"	0.138443
"Brant Brown"	0.138085
"Gerald Williams"	0.137985
Hollins	0.137884
"Brad Fullmer"	0.137743
"Craig Biggio"	0.137324
"Shannon Stewart"	0.137287
"Derek Bell"	0.13691
Biggio	0.136252
"Mark Grudzielanek"	0.136102
"Brady Anderson"	0.136077
"Rafael Palmeiro"	0.135729
"Darin Erstad"	0.135478
"Chad Curtis"	0.135404
"Garret Anderson"	0.135242
"Andruw Jones"	0.135133
"Tino Martinez"	0.134783
Bagwell	0.134619
Surhoff	0.134529
"Clay Bellinger"	0.134267
Stinnett	0.134143
"Brian McRae"	0.13414
"Royce Clayton"	0.134065
Konerko	0.134021
"Al Martin"	0.134002
"Daryle Ward"	0.133691
"Jose Vizcaino"	0.1334
"Ivan Rodriguez"	0.133372
"Darryl Hamilton"	0.133358
"Rusty Greer"	0.133284
"Carlos Guillen"	0.133055
"Jay Buhner"	0.133035
"Eric Young"	0.133019
"Edgar Martinez"	0.132809
Brosius	0.132772
"Glenallen Hill"	0.132372
Womack	0.132308
"David Segui"	0.132134
"Raul Ibanez"	0.131768
"Reggie Sanders"	0.131575
Zeile	0.131472
Alomar	0.130909
"Dan Wilson"	0.130676
Mayne	0.130573
"Luis Sojo"	0.130552
"Tim Salmon"	0.130407
Vizquel	0.1302
Klesko	0.130174
Merloni	0.129011
Mueller	0.127824
"Benji Gil"	0.127206
"Devon White"	0.126958
Cedeno	0.126773
Delgado	0.125924
"Tyler Houston"	0.12558
Hatteberg	0.125473
"Mark McLemore"	0.125311
"J.D Drew"	0.124859
Grudzielanek	0.124711
"Sandy Alomar"	0.124664
"Matt Walbeck"	0.124514
"Larry Walker"	0.124476
"Karim Garcia"	0.124264
"Todd Hollandsworth"	0.123779
"Ricky Ledee"	0.123698
"Jeremy Giambi"	0.123361
Saenz	0.123242
"Edgar Renteria"	0.123124
"John Jaha"	0.122984
Grissom	0.12281
Eusebio	0.122739
Ledee	0.122277
Lugo	0.121999
"Gary Gaetti"	0.121564
"Frank Catalanotto"	0.121547
"Tom Lampkin"	0.121411
"Charles Johnson"	0.121355
"Luis Lopez"	0.121032
"Rey Ordonez"	0.120999
Elster	0.12041
"Derek Jeter"	0.120356
"Jose Canseco"	0.120025
Cabrera	0.119871
"Ryan Klesko"	0.119789
"Delino DeShields"	0.119706
"Raul Mondesi"	0.11944
"Gabe Kapler"	0.119163
"Mike Benjamin"	0.119016
"Brian Jordan"	0.118975
"Bobby Bonilla"	0.11815
Bergeron	0.11796
"Kenny Lofton"	0.117739
"Marty Cordova"	0.116628
Palmeiro	0.115215
Boone	0.115181
Burks	0.11475
Castilla	0.114643
"Rickey Henderson"	0.114376
Gant	0.114355
"Eddie Perez"	0.113922
"Carl Everett"	0.113617
Trammell	0.113249
"Einar Diaz"	0.112784
Guillen	0.112711
Lofton	0.11262
"Wade Boggs"	0.112512
"Cal Ripken Jr."	0.112202
"Juan Castro"	0.112188
"Todd Greene"	0.111604
Gilkey	0.111575
Kapler	0.111394
Catalanotto	0.111327
Ausmus	0.111171
"Greg Colbrunn"	0.109829
"Carlos Baerga"	0.109746
"Russ Ortiz"	0.109671
"Greg Vaughn"	0.109474
Ripken	0.109154
"Kevin Elster"	0.10867
"Todd Hundley"	0.108595
"Joey Cora"	0.10835
Helton	0.107727
"Jeff Frye"	0.107604
Bragg	0.10753
Hollandsworth	0.106904
Segui	0.106644
Furcal	0.106628
Offerman	0.106405
"Tony Phillips"	0.106248
"Rich Becker"	0.106026
"Magglio Ordonez"	0.105948
Caminiti	0.105895
"Manny Ramirez"	0.10584
"Moises Alou"	0.105195
"Scott Hatteberg"	0.104979
Gutierrez	0.104898
Cordero	0.104435
Baerga	0.104328
"Wil Cordero"	0.10394
Sheldon	0.103142
McLemore	0.10313
"Alex Cora"	0.103112
Kent	0.103035
Thome	0.102969
Huskey	0.102823
"Terrence Long"	0.102754
Buhner	0.102589
"Peter Bergeron"	0.10236
Ramirez	0.102343
"Troy O'Leary"	0.102232
"Lance Johnson"	0.102163
"Gregg Zaun"	0.102065
"Bernard Gilkey"	0.101837
"Jim Leyritz"	0.101448
"David Dellucci"	0.101393
"Andy Sheets"	0.101271
"CARLOS HERNANDEZ"	0.100814
Goodwin	0.100588
Mora	0.100574
"Shane Spencer"	0.100307
))
("Bill Murray" (desc 5244.96) (sims
"JOHN TURTURRO"	0.157235
"Vanessa Redgrave"	0.15378
"Joan Cusack"	0.122011
"John Cusack"	0.118626
"Matthew Broderick"	0.11264
"Susan Sarandon"	0.110355
"Emily Watson"	0.099275
"John Malkovich"	0.0977611
"Jack Nicholson"	0.096675
"Sean Connery"	0.0965255
"Michael Douglas"	0.0964437
"Nick Nolte"	0.0955928
"James Woods"	0.0935508
"George Clooney"	0.0935104
"Kevin Costner"	0.0920271
"John Belushi"	0.0919096
"Christian Slater"	0.091749
"Tom Cruise"	0.0903341
"Dennis Quaid"	0.0901413
"Hank Azaria"	0.0901115
"Richard Dreyfuss"	0.0895974
"Brad Pitt"	0.0865244
"Robert DeNiro"	0.0853111
"Kevin Bacon"	0.085272
"Tim Robbins"	0.0851223
"Burt Reynolds"	0.0847295
"Keanu Reeves"	0.0846143
"Chevy Chase"	0.0843674
"Russell Crowe"	0.0837277
"Robin Williams"	0.0836421
"Ruben Blades"	0.0828668
"Steve Martin"	0.0825227
"Christopher Reeve"	0.0823508
"Danny Glover"	0.0822175
"Tom Selleck"	0.0820948
"Dennis Hopper"	0.0818236
"Jon Voight"	0.0812303
"Matthew McConaughey"	0.0807673
"Jimmy Stewart"	0.0803719
"Billy Bob Thornton"	0.0800706
"Glenn Close"	0.0780482
"Robert de Niro"	0.0768518
"Kelsey Grammer"	0.0767862
"Sylvester Stallone"	0.0763495
"Julia Roberts"	0.0763401
"Matt Damon"	0.0763086
"Ed Harris"	0.0761944
"William H. Macy"	0.0761768
"Jessica Lange"	0.0760934
"Woody Harrelson"	0.075885
"Robert Redford"	0.0757725
"John Travolta"	0.0754651
"Tom Hanks"	0.0748986
"Sidney Poitier"	0.0744329
"Harrison Ford"	0.0742554
"Heather Graham"	0.0729599
"Jack Lemmon"	0.072164
"Robert Duvall"	0.0721615
"Drew Barrymore"	0.0720425
"Denzel Washington"	0.0718416
"AL PACINO"	0.0715005
"Arnold Schwarzenegger"	0.0713226
"Jimmy Smits"	0.0713026
"Michael J. Fox"	0.0710144
"Albert Brooks"	0.0707075
"Marlon Brando"	0.0700859
"Jamie Foxx"	0.0694853
"Ethan Hawke"	0.0694631
"Cuba Gooding Jr."	0.0693326
"Dustin Hoffman"	0.0691554
"Ben Affleck"	0.0686036
"Anthony Hopkins"	0.0677411
"Catherine Deneuve"	0.0676462
"Charlton Heston"	0.0670069
"Jeff Bridges"	0.0669756
"Sally Field"	0.0661638
Costner	0.0659118
"Kevin Spacey"	0.0650635
"John Goodman"	0.0649851
"Meryl Streep"	0.0649511
"Jim Carrey"	0.0649407
"Laurence Fishburne"	0.0648214
"Alec Baldwin"	0.0647827
"Gregory Peck"	0.0647064
"Martin Sheen"	0.0642999
"William Shatner"	0.0642038
"Tracey Ullman"	0.0640399
"Holly Hunter"	0.0640129
"Hugh Grant"	0.06324
"Kate Winslet"	0.0628506
"Jennifer Love Hewitt"	0.0628163
"Johnny Depp"	0.06252
"Richard Gere"	0.0624578
"Paul Newman"	0.0624011
"Edward Norton"	0.062235
"Meg Ryan"	0.0622022
"James Cromwell"	0.0619342
"Rupert Everett"	0.0618147
"Whoopi Goldberg"	0.0618025
"Cate Blanchett"	0.061566
"Rob Lowe"	0.0613411
"Christian Bale"	0.0611269
"Natalie Portman"	0.0608273
"Bernadette Peters"	0.060823
"Robert Carlyle"	0.0607573
"Sean Penn"	0.0599124
"Ben Stiller"	0.0595983
"Liev Schreiber"	0.059562
"Gene Hackman"	0.0594906
"Patrick Stewart"	0.0594099
"Warren Beatty"	0.0586536
"Kim Basinger"	0.0585708
"Samuel L. Jackson"	0.0585019
Branagh	0.058339
"Michael Caine"	0.0580692
"Michelle Pfeiffer"	0.0576091
BANDERAS	0.0575961
"Walter Matthau"	0.0573647
"Henry Fonda"	0.0573411
"Geoffrey Rush"	0.057235
"Barbra Streisand"	0.0572161
"Mark Wahlberg"	0.0571817
"Joseph Fiennes"	0.0568988
"Woody Allen"	0.0568394
"Brian Dennehy"	0.0566571
"Demi Moore"	0.0564244
"Wesley Snipes"	0.0559483
"Kevin Kline"	0.0556914
"Jodie Foster"	0.0556839
"Gwyneth Paltrow"	0.0552994
"Christopher Walken"	0.0549573
"Bruce Willis"	0.0544768
"Diana Ross"	0.0543228
"Winona Ryder"	0.054238
"Nicolas Cage"	0.0541357
"Kirk Douglas"	0.0540838
"Liam Neeson"	0.0539362
"Leonardo DiCaprio"	0.0538516
"John Wayne"	0.0537584
"Calista Flockhart"	0.0535726
"Shirley MacLaine"	0.053226
"Tommy Lee Jones"	0.0528276
"Roberto Benigni"	0.0527355
"Antonio Banderas"	0.0526882
"Robert Downey Jr."	0.0524038
"Jim Henson"	0.0521594
"Hilary Swank"	0.0519227
"Adam Sandler"	0.0517107
"Kenneth Branagh"	0.0515384
Broderick	0.0514795
Schwarzenegger	0.0514073
"David Arquette"	0.0513513
"Val Kilmer"	0.0512864
"Alicia Silverstone"	0.0505289
"Bette Midler"	0.0504389
"Stanley Tucci"	0.0504333
"De Niro"	0.0504294
"Bill Cosby"	0.0504235
Grammer	0.0503647
"Annette Bening"	0.0503284
"Nicole Kidman"	0.0503256
Kidman	0.05018
"Ally Sheedy"	0.0500485
Carrey	0.0500148
"True Thing"	0.0498881
Cleese	0.0498552
Gooding	0.0497927
Hank	0.0495551
"Sigourney Weaver"	0.0494892
"Clint Eastwood"	0.0493935
"Garry Shandling"	0.0493737
"Will Smith"	0.0493624
"Queen Latifah"	0.0492102
"Mel Brooks"	0.0491556
"Gabriel Byrne"	0.0491498
"Sharon Stone"	0.0489247
"Andre Braugher"	0.0489233
"Carol Burnett"	0.0488734
"Jackie Chan"	0.0488439
"Eddie Murphy"	0.0486498
"Cameron Diaz"	0.048336
"Halle Berry"	0.0482518
"Omar Epps"	0.0481421
"James Caan"	0.0481347
"Mandy Patinkin"	0.0481139
Stiller	0.0479632
Sheedy	0.0477541
"Jerry Seinfeld"	0.0476669
"Ian Holm"	0.0474445
"Aidan Quinn"	0.0474329
"Geena Davis"	0.0473125
Sandler	0.0471448
Braugher	0.0471129
"Lily Tomlin"	0.0469293
"Stephen Rea"	0.0466514
"Mel Gibson"	0.0465425
"Chow Yun-Fat"	0.046294
"Jamie Lee Curtis"	0.0462499
GERE	0.0461217
"Goldie Hawn"	0.0460702
))
("bill of health" (desc 1961.12) (sims
"short shrift"	0.111766
fillip	0.100878
"progress report"	0.0988706
"speeding ticket"	0.0961403
"positive feedback"	0.0905456
"goose bumps"	0.0884744
"cold shoulder"	0.0832491
"all clear"	0.0821866
goosebumps	0.0763369
"power of attorney"	0.0746355
printout	0.0739344
"seal of approval"	0.0737604
sendoff	0.0730226
Lowdown	0.0715522
smooch	0.0715109
"carte blanche"	0.0701879
"medical checkup"	0.068662
"coat of paint"	0.067963
"breathing space"	0.0672174
"clean slate"	0.066748
"form letter"	0.0666601
"birthday present"	0.0662928
go-ahead	0.065878
"honorary degree"	0.0657601
send-off	0.0650306
"blank check"	0.0639383
"free rein"	0.0633827
"bear hug"	0.0625362
"top billing"	0.0619725
thumbs-up	0.0616374
"elbow room"	0.0605063
reassurance	0.0585582
counterbid	0.0584944
"inside information"	0.0578772
"face lift"	0.0573901
"boarding pass"	0.056876
"marriage proposal"	0.0565393
earful	0.0564596
"medical report"	0.0560267
"breathing room"	0.0553831
toehold	0.0553494
counteroffer	0.0551082
"cash bonus"	0.0548736
hellbent	0.054563
oomph	0.0544636
facelift	0.0541717
corroboration	0.0539158
"human face"	0.0538838
walkover	0.0532455
B.A	0.0529851
"Legion of Honor"	0.0529768
feeler	0.0527908
dibs	0.0522656
"Christmas present"	0.052159
"cash payment"	0.0520184
"marriage license"	0.0519276
"refresher course"	0.0516841
"sneak preview"	0.0516245
"margin call"	0.0514197
plaudit	0.0513168
"inside track"	0.0510641
transfusion	0.0506006
breather	0.0502164
knighthood	0.0499055
commendation	0.049789
"history lesson"	0.049729
"electric shock"	0.0496894
tutorial	0.0495438
"work permit"	0.0495206
"Lijiang River"	0.049288
hand-me-down	0.0489762
"sense of direction"	0.048832
dispensation	0.0486849
"security clearance"	0.0486356
"tax treatment"	0.0482406
prosthesis	0.048109
mammogram	0.047975
"hypodermic needle"	0.0478292
"written agreement"	0.0474272
"Medal of Honor"	0.0473169
"final judgment"	0.0471372
benediction	0.0467857
TPA	0.0466827
"order form"	0.0465977
"green light"	0.046404
"disability payment"	0.0462512
"credit history"	0.046167
imprimatur	0.0461148
"black eye"	0.0459709
inkling	0.0456756
"piano lesson"	0.0455321
CPR	0.0454429
"pop quiz"	0.0449174
Momma	0.044866
"distress signal"	0.0447075
"base hit"	0.0446042
"personal loan"	0.0445827
double-click	0.0444162
whipping	0.0443386
"credit report"	0.0442788
"septic tank"	0.0442728
resuscitation	0.0438587
painkiller	0.0437227
"competitive advantage"	0.0434268
assent	0.0432358
"upper hand"	0.0431398
"second reading"	0.0429968
"Purple Heart"	0.0426857
"two baskets"	0.0426038
"place mat"	0.0425579
bigger	0.0425157
vasectomy	0.0423573
no-decision	0.0421784
"first aid"	0.0421566
ovation	0.0421412
"name and address"	0.041832
sedative	0.0418186
"lead poisoning"	0.041744
"legal representation"	0.0417437
anesthesia	0.0411801
"time of day"	0.0410389
"sheet of paper"	0.0410286
plurality	0.0409902
"equity stake"	0.04099
"three pitchers"	0.0409134
"set point"	0.0407535
Requests	0.0406458
placebo	0.0402165
abatement	0.0401986
"two pitchers"	0.0401373
"right to vote"	0.0400329
))
("Bill of Rights" (desc 17279.3) (sims
"gun control"	0.154262
legislation	0.144342
amendment	0.123404
"tax cut"	0.123012
"U.S. Constitution"	0.11999
Shays-Meehan	0.11858
"trade bill"	0.113588
constitution	0.111389
"minimum wage"	0.111379
overhaul	0.110268
Ordinance	0.109332
bill	0.108701
"tax increase"	0.108226
"First Amendment"	0.101043
"tax credit"	0.0982083
reform	0.0978833
"health insurance"	0.0978121
"health care"	0.0973838
PNTR	0.096882
"tax break"	0.0946723
voucher	0.0939252
charter	0.0932943
regulation	0.0929428
"tax reduction"	0.0908712
law	0.0903975
"Civil Rights Act"	0.0900352
repeal	0.0889149
statute	0.0886965
"living wage"	0.0883232
"spending cut"	0.0877704
"social security"	0.0876401
Treaty	0.0868649
provision	0.0857041
deregulation	0.085673
"Proposition @@@"	0.0852998
"Proposition @@"	0.084939
bylaw	0.0845988
ERISA	0.0834353
Helms-Burton	0.0830352
"Voting Rights Act"	0.0829291
"civil rights"	0.0823032
proposal	0.0818152
"Title IX"	0.0815797
"prescription drug"	0.0797689
"tax bill"	0.0792212
guideline	0.0791804
initiative	0.0785713
"right to privacy"	0.0784034
"Clean Water Act"	0.0778442
protection	0.0770002
"Fifth Amendment"	0.0761899
tax	0.076107
"compromise plan"	0.075698
"pay raise"	0.0754251
"Fourth Amendment"	0.0753918
medicare	0.0749746
censure	0.0748976
revision	0.0741757
education	0.0740574
"Proposition @"	0.073372
lockbox	0.0732089
resolution	0.0729432
moratorium	0.0728008
brownfields	0.0722374
"safety measure"	0.0721524
euthanasia	0.0718042
"tax change"	0.0717261
abortion	0.0711219
"free trade"	0.0710773
restriction	0.0708608
"education program"	0.0707616
decree	0.0707596
Privacy	0.0707135
funding	0.0703752
referendum	0.0687309
"Helms-Burton Act"	0.0684976
"code of conduct"	0.06823
"job security"	0.0681755
"Declaration of Independence"	0.0675659
compromise	0.0671175
"North American Free Trade Agreement"	0.0671111
"Community Reinvestment Act"	0.0669429
"Telecommunications Act"	0.066895
safeguard	0.0668557
"tax policy"	0.0666312
clause	0.0664268
"budget cut"	0.065831
"civil right"	0.0657742
bailout	0.0656893
"Second Amendment"	0.0654418
statehood	0.0652464
"criminal law"	0.0652457
"death penalty"	0.0652082
"Agenda @@@@"	0.0652011
package	0.0648873
"bankruptcy law"	0.0646861
"family planning"	0.0644107
Liberalization	0.0643949
"Basic Law"	0.0643575
"policy change"	0.064141
agenda	0.064058
"land reform"	0.0640535
"wage increase"	0.0639662
"tax incentive"	0.0638602
"freedom of speech"	0.0633774
code	0.0632077
reduction	0.0631613
abolition	0.0631333
"labor contract"	0.0629356
amnesty	0.0628939
"plan of action"	0.0628881
spending	0.0625705
"finding of fact"	0.0624911
care	0.0624358
subsidy	0.0620782
"trade agreement"	0.0618638
"income tax"	0.0618431
"trade relation"	0.061791
"human right"	0.0613724
freedom	0.0613359
democratization	0.0612816
"capital punishment"	0.0612359
immigration	0.0610796
"trade policy"	0.0609956
requirement	0.0609781
Declaration	0.0607785
"Comprehensive Test Ban Treaty"	0.0606847
legalization	0.0603734
"tax hike"	0.0600443
accord	0.060013
enforcement	0.0599289
appropriation	0.0598817
financing	0.0597643
pact	0.0597318
"medical record"	0.0593082
Privatization	0.0590595
accountability	0.0590185
"rule of law"	0.0589266
blueprint	0.0589097
"benefit program"	0.0588568
"quality of life"	0.0588371
"Disabilities Act"	0.0586847
"penal code"	0.0586557
"missile defense system"	0.0586487
confidentiality	0.0583751
"deficit reduction"	0.0580557
"child care"	0.0580228
NAFTA	0.0578896
renewal	0.0577792
identifier	0.0576726
insurance	0.0575146
"Endangered Species Act"	0.0572313
self-determination	0.057183
"reading program"	0.0571442
welfare	0.0569857
pension	0.0569019
secession	0.0568679
Ada	0.056592
rollback	0.0565434
"reorganization plan"	0.0564719
"price control"	0.0564704
"START II"	0.0561127
"abortion law"	0.0558475
procedure	0.0557564
citizenship	0.0557416
remedy	0.0556622
alternative	0.0556548
"legal right"	0.0554857
"freedom of the press"	0.0553817
quota	0.0552563
"savings account"	0.0552292
"equal opportunity"	0.0551807
prohibition	0.0551087
Copyright	0.0548507
principle	0.0547874
self-regulation	0.054678
democracy	0.0545866
adoption	0.0545102
Medicaid	0.0545073
enlargement	0.0544812
covenant	0.0539521
"foreign policy"	0.0536902
proposition	0.0536215
relief	0.0535988
protocol	0.0535525
directive	0.0535103
"economic policy"	0.0533728
equality	0.0532691
co-payments	0.053107
"Criminal Procedure Law"	0.0530847
ethic	0.0529947
reorganization	0.0528345
exemption	0.0527957
fast-track	0.0525221
impeachment	0.0523205
"U.N. Resolution @@@"	0.0521746
"Plan Colombia"	0.0520414
solution	0.0519396
"Clean Air Act"	0.0518278
dollarization	0.0516505
))
("Bill Owens" (desc 2732.84) (sims
"Roy Romer"	0.255046
"John Rowland"	0.203119
"Ben Nighthorse Campbell"	0.19313
"Tom Ridge"	0.192073
"Frank Keating"	0.185975
"Paul Cellucci"	0.181587
"Tommy Thompson"	0.178746
"Marc Racicot"	0.176974
"David Beasley"	0.175201
"John G. Rowland"	0.17098
"Jim Hodges"	0.168605
"Bill Graves"	0.168024
"William Weld"	0.164124
"Jim Gilmore"	0.163736
"Christine Todd Whitman"	0.162999
"Jeanne Shaheen"	0.161537
"Mike Huckabee"	0.157291
"Pete Wilson"	0.151589
"George Ryan"	0.150605
"Christie Whitman"	0.1445
"Jane Hull"	0.139078
"John Engler"	0.136732
"Gary Johnson"	0.134899
"Mike Leavitt"	0.132421
"Lawton Chiles"	0.130085
"Dai Xianglong"	0.12881
Sutiyoso	0.12799
"Gray Davis"	0.126341
"Mike Foster"	0.124696
"Parris Glendening"	0.124043
"Bob Taft"	0.122417
"Jeb Bush"	0.120884
"Fob James"	0.119837
"Zell Miller"	0.116798
"Ann Richards"	0.115436
"Jim Guy Tucker"	0.112878
"Roy Barnes"	0.112452
"George E. Pataki"	0.112255
Voinovich	0.109229
"Paul Patton"	0.107421
"Mel Carnahan"	0.107015
"Wayne Allard"	0.106941
"George Pataki"	0.10246
"Pedro Rossello"	0.100195
Nickles	0.094292
"Jim Florio"	0.0926766
Engler	0.0923363
"Tian Jiyun"	0.0923141
"Jim Hunt"	0.0921075
"John Cornyn"	0.092096
"Christopher Shays"	0.0918026
"National Security Adviser Sandy Berger"	0.0913623
"Don Siegelman"	0.0903971
"Mario Cuomo"	0.0903034
"Matt Fong"	0.0902746
"Eric Holder"	0.0900995
"Betsy McCaughey Ross"	0.0893992
"Tom Vilsack"	0.088591
"Rick Perry"	0.0869721
"George Voinovich"	0.086621
"Gary Locke"	0.086253
"Alexander Lebed"	0.0860317
"Richard Riley"	0.0857703
"George Nethercutt"	0.0855537
"Lamar Alexander"	0.0846366
"Nur Misuari"	0.0845648
"Chris Patten"	0.0838911
"Lowell Weicker"	0.0838074
"Bruce Babbitt"	0.0837721
"Richard Blumenthal"	0.0829202
"Vladimir Yakovlev"	0.082291
Brownback	0.0814905
"Defense William Cohen"	0.0810251
"Rodney Slater"	0.080858
Lugar	0.0807565
Buhe	0.0805779
"Wang Hanbin"	0.079837
"Dan Lungren"	0.0795318
"Jesse Ventura"	0.0786219
Hybl	0.0786168
"Kit Bond"	0.0779766
"Jerry Brown"	0.0778914
"Evan Bayh"	0.0775353
"Jim Kolbe"	0.077311
Murkowski	0.0772663
Kyl	0.0763223
Shalala	0.0761538
Whitman	0.0757875
Klima	0.0753381
"Paul Keating"	0.0751871
"Prime Minister Kamal El-Ganzouri"	0.074853
"Michael Dukakis"	0.0742682
Domenici	0.0742077
Leavitt	0.0736525
"Frederick Sumaye"	0.072985
"Zhang Wannian"	0.0726008
el-Ganzouri	0.0723402
Bruton	0.0722155
"Tom Campbell"	0.072192
"Spencer Abraham"	0.0721147
"Congressional Democrats"	0.0716498
Teresi	0.0715228
"Nelson Rockefeller"	0.0712521
"Curt Weldon"	0.071056
Jayakumar	0.0710387
Cornyn	0.0709034
"Jiang Chunyun"	0.0709026
Grassley	0.0705916
congressmen	0.0701905
"Wan Guoquan"	0.0701185
Grachev	0.0699073
Glickman	0.0696654
Dehaene	0.0695634
Cellucci	0.0695386
"William Daley"	0.0695153
"Chief Executive Tung Chee-hwa"	0.0694251
"Phil Gramm"	0.0686084
Misuari	0.0676146
Nemtsov	0.0672716
"Joseph Bruno"	0.0670217
"Liu Huaqing"	0.0669574
Ruehe	0.0667691
"Linda Smith"	0.0665286
"Olympia J. Snowe"	0.066489
"John Ashcroft"	0.06644
McConnell	0.0664261
"Slade Gorton"	0.066338
Komura	0.0662369
"Sam Brownback"	0.0661626
Rowland	0.0660514
Snowe	0.0660365
"William Cohen"	0.0659434
Ikimi	0.0656685
"Secretary General Esmat Abdul-Meguid"	0.0655323
"Zou Jiahua"	0.0653297
Moratinos	0.0652427
"Bob Bullock"	0.0652225
"John Danforth"	0.0645877
"Robert Rubin"	0.0643899
"Ron Wyden"	0.0640683
"Ricardo Alarcon"	0.0640393
"Pascoal Mocumbi"	0.0633961
Azad	0.0633714
"Cheng Siwei"	0.063021
Guterres	0.0630127
"Lawrence Summers"	0.0629573
"Edwin Edwards"	0.0629126
Scalfaro	0.0627684
"Buddy MacKay"	0.0627384
"Don Young"	0.0626484
Majali	0.0624794
"Bob Franks"	0.0624296
"House Majority Whip Tom DeLay"	0.062256
"government officials"	0.0621346
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0619944
Velayati	0.0618982
"Speaker Ali Akbar Nateq-Nouri"	0.0618904
Abdel-Meguid	0.0617804
"George Bush"	0.0617754
"Bill Skate"	0.0617239
Owens	0.0617012
"Kathleen Kennedy Townsend"	0.0615295
Levitt	0.0612561
"Richard Lugar"	0.0612482
"Cheng Kejie"	0.0609744
"Rick Santorum"	0.0608174
Juncker	0.0607109
"De Soto"	0.0607075
"Rod Grams"	0.0606936
Boueiz	0.0602704
"Atef Obeid"	0.0599762
Dewine	0.0597939
"Tillie Fowler"	0.0597698
Soyinka	0.0597364
Shays	0.0596603
"Dennis Vacco"	0.0595446
McCaffrey	0.0595074
Pustovoitenko	0.0594978
"Antonio Guterres"	0.0594035
FitzPatrick	0.0593927
"Patrick J. Buchanan"	0.0593647
Kouchner	0.0591435
"Jesse Helms"	0.0590419
"Bob Graham"	0.0589761
Bildt	0.0589255
al-Shara	0.0589143
"Arlen Specter"	0.0587756
"Chen Muhua"	0.0587751
Khai	0.0587641
"Chi Haotian"	0.0587026
"Henry Bonilla"	0.0586023
Kuchma	0.0585862
Tarawneh	0.0585678
"Paul Coverdell"	0.0585599
"Kay Bailey Hutchison"	0.0583948
Riordan	0.0583925
Difrancesco	0.0582104
"Pat Roberts"	0.0581778
Meguid	0.0581523
"Robert Bennett"	0.0580648
))
("Bill Parcells" (desc 13829.5) (sims
Parcells	0.204017
"Dan Reeves"	0.180801
"Al Groh"	0.165957
"Jimmy Johnson"	0.15695
"Mike Ditka"	0.154969
"Mike Shanahan"	0.152406
"Phil Jackson"	0.14787
"Pete Carroll"	0.146711
Belichick	0.146407
"Dick Vermeil"	0.141601
"Bill Belichick"	0.141007
"Mike Holmgren"	0.138473
"Don Shula"	0.131186
"Chan Gailey"	0.129575
"Dennis Green"	0.127045
"TOM COUGHLIN"	0.126447
"Dave Wannstedt"	0.122752
"Bora Milutinovic"	0.121529
"George Seifert"	0.119031
"Tom Landry"	0.118556
"Bill Walsh"	0.113786
"Ray Rhodes"	0.113109
Groh	0.112613
"Bill Cowher"	0.111756
"Lenny Wilkens"	0.111304
"Don Zimmer"	0.110631
"Lou Holtz"	0.109936
Holmgren	0.109275
"Jeff Van Gundy"	0.107595
"Rick Pitino"	0.105245
"Bobby Grier"	0.10468
"Tim Floyd"	0.104502
"Pat Burns"	0.103874
"John Robinson"	0.103417
"Vinny Testaverde"	0.103327
"Dennis Erickson"	0.102792
"Larry Bird"	0.102719
"Mike Krzyzewski"	0.101988
"Steve Mariucci"	0.0985862
"Vince Lombardi"	0.0972604
Fassel	0.0964463
"Chris Palmer"	0.094494
"P.J Carlesimo"	0.0937322
"Kurt Rambis"	0.0909853
"Jim Harrick"	0.0909777
"Joe Gibbs"	0.0907692
Reeves	0.0907155
Vermeil	0.0886144
"Mike Dunleavy"	0.0880631
"Pat Riley"	0.0868117
"Jerry Sloan"	0.0866168
"Barry Switzer"	0.0862905
"Paul Westphal"	0.0856345
"Scotty Bowman"	0.0852924
Wannstedt	0.0850177
"Brian Billick"	0.0843942
Gailey	0.0842272
Harrick	0.0841874
Sampson	0.0837929
Shanahan	0.0833904
"Larry Brown"	0.0823945
"Walter Zenga"	0.0823006
Pitino	0.0821182
Carroll	0.080703
"Rudy Tomjanovich"	0.0797726
"John Thompson"	0.0797193
"George Karl"	0.0795548
"Dean Smith"	0.0794967
"Dan Marino"	0.0792274
Schottenheimer	0.078129
"Chuck Daly"	0.0780874
"Bobby Bowden"	0.0778719
"Norv Turner"	0.0776704
"Del Harris"	0.0766018
"Glenn Foley"	0.0755889
"Mack Brown"	0.0754087
Slocum	0.0746868
"Van Gundy"	0.0746339
"Ken Hitchcock"	0.0745911
"Glenn Hoddle"	0.0738231
"John Elway"	0.0722281
Ponciano	0.071751
Bowden	0.0708323
Monson	0.070569
Landry	0.0700467
Tobin	0.0697843
Romar	0.0696775
Neuheisel	0.0696703
"Michael Jordan"	0.0696485
Holtz	0.0695048
"Jim Leyland"	0.0694576
"Rick Neuheisel"	0.0691188
"Rich Brooks"	0.0690772
Donnan	0.0690286
"Don Baylor"	0.0685633
Donahue	0.0679654
"Bob Knight"	0.0678003
Billick	0.0672464
Cowens	0.0671045
Milutinovic	0.0665283
"Don Nelson"	0.0659311
"Jerry Jones"	0.0657576
Johnson	0.0655772
"Doc Rivers"	0.0654273
"Ernie Zampese"	0.0651582
"Curtis Martin"	0.0650443
Riley	0.0644569
"John Smith"	0.0642667
Martz	0.0642236
Nelson	0.0639186
"Ray Lucas"	0.0634055
"Colin Campbell"	0.0630302
Testaverde	0.0622763
"Keyshawn Johnson"	0.0619091
Cremins	0.061491
Barnett	0.0614335
Karolyi	0.0612457
Elway	0.061219
"June Jones"	0.0606424
"Kevin Keegan"	0.0605518
Rambis	0.0605417
"Dom Capers"	0.0602818
Calhoun	0.0602606
"Ruud Gullit"	0.0599084
O'Brien	0.0597852
Floyd	0.059539
"Tom Osborne"	0.0594921
Zampese	0.0589514
Leyland	0.0588015
"Steve Spurrier"	0.0587616
"Bill Russell"	0.0584802
Jackson	0.058458
"New England Patriots"	0.0584369
"Bear Bryant"	0.0582557
Coughlin	0.0581392
"Joe Paterno"	0.0579264
"Dwight Clark"	0.0575462
McGinnis	0.0574896
"Tommy Bowden"	0.0573767
patriot	0.0573444
Whitsitt	0.0572197
Penders	0.0572193
Switzer	0.0570884
"Clyde Drexler"	0.0570026
Hiddink	0.0569702
"Bela Karolyi"	0.0569665
"Paul Silas"	0.05696
Hackett	0.0567321
Krzyzewski	0.0566839
Spurrier	0.0566214
Wilkens	0.0562767
"John Calipari"	0.0561936
Tomjanovich	0.0558968
Casserly	0.0558157
Palmer	0.0557105
Walsh	0.0553943
"Boris Yeltsin"	0.0553101
Zimmer	0.055079
Ditka	0.0549453
Willes	0.0548669
Murray	0.0546338
Lombardi	0.0543939
"Buffalo Bills"	0.0543888
Gretzky	0.054358
Grier	0.0541163
Mariucci	0.053858
"Keith Byars"	0.0536866
"Doug Flutie"	0.0536624
Osborne	0.0534953
Campo	0.0534154
Erickson	0.0527833
Haskins	0.0526795
Celtics	0.0526124
"Joe Torre"	0.0525017
Murayama	0.0522701
Gibbs	0.0521356
"George Steinbrenner"	0.0520246
"Dave Campo"	0.0515938
Havelange	0.0515319
"Glenn Hoffman"	0.0514629
Guthridge	0.051426
beamer	0.0513407
Hoddle	0.0513037
Scioscia	0.0512716
DeBerg	0.0511886
"Dick Jauron"	0.0511403
Hitchcock	0.0511047
Schaeuble	0.0510975
"Charles Barkley"	0.0510526
Bubb	0.0509916
"Bryan Cox"	0.0507584
"Neil Smith"	0.0507372
Brooks	0.0507139
Zagallo	0.0507012
smith	0.0506461
Vogts	0.0505872
Seifert	0.0505377
Rhodes	0.0505019
ISSEL	0.0503908
"Phil Simms"	0.0503124
))
("Bill Paxton" (desc 2087.38) (sims
"Harvey Keitel"	0.122861
"Billy Crudup"	0.115861
"John Cusack"	0.114969
"Minnie Driver"	0.112095
"Bridget Fonda"	0.109885
"Andie MacDowell"	0.107434
"Tobey Maguire"	0.10552
"Claire Danes"	0.103127
"Matthew McConaughey"	0.0971858
"Geoffrey Rush"	0.0948888
"Kate Winslet"	0.0930635
"Paul Rudd"	0.0869372
"John Lithgow"	0.0868531
"Brian Dennehy"	0.0868135
"Johnny Depp"	0.0860323
"Melanie Griffith"	0.085095
"Jenna Elfman"	0.0845885
"Ethan Hawke"	0.0825514
"Holly Hunter"	0.0824435
"Bill Pullman"	0.0812421
"Morgan Freeman"	0.0769493
"Jon Voight"	0.076853
"Gary Sinise"	0.0765884
"Tim Robbins"	0.0758681
"Ben Affleck"	0.0758386
"Kevin Bacon"	0.0749518
"Vince Vaughn"	0.0745713
"Michael Caine"	0.0733232
"Ellen DeGeneres"	0.0723483
"Kim Basinger"	0.0717065
"Adam Sandler"	0.0714755
"Woody Harrelson"	0.0684692
"Bette Midler"	0.0683899
"Walter Matthau"	0.0682402
"Sarah Jessica Parker"	0.067268
"Renee Zellweger"	0.0671062
"Nigel Hawthorne"	0.066844
"Sally Field"	0.0664615
"Keanu Reeves"	0.0657419
"Winona Ryder"	0.0653137
"Natalie Cole"	0.0643965
"Angelina Jolie"	0.0635555
"Richard Dreyfuss"	0.0634799
"Ewan McGregor"	0.0625297
"Jodie Foster"	0.0621295
"Jack Nicholson"	0.0610961
"Christopher Reeve"	0.0609655
"Liv Tyler"	0.0602935
"Lily Tomlin"	0.0599814
"Julie Andrews"	0.0596134
"Vanessa Redgrave"	0.0594451
"Will Smith"	0.0593016
"Patricia Arquette"	0.0590864
"Wesley Snipes"	0.0586723
"Meg Ryan"	0.0583115
Paxton	0.0579265
"Lenny Kravitz"	0.0577982
Cleese	0.0576196
"Edward Furlong"	0.0564727
"Jon Bon Jovi"	0.0562611
"Burt Lancaster"	0.0558681
"Henry Fonda"	0.055734
Harrelson	0.0557232
"Bruce Willis"	0.0556169
"Martin Lawrence"	0.0552796
"Hank Azaria"	0.0549019
"Carol Burnett"	0.0545758
"Jessica Lange"	0.0537929
"Jamie Foxx"	0.0533861
"Alfre Woodard"	0.0532818
"James Earl Jones"	0.053178
"Brendan Fraser"	0.0525877
"Val Kilmer"	0.052576
"Omar Epps"	0.0524202
"Robert DeNiro"	0.0523259
"Robert de Niro"	0.0522785
"Tim Allen"	0.0521794
"Pierce Brosnan"	0.0520043
"James Van Der Beek"	0.05195
"Ian Holm"	0.0518531
"Spencer Tracy"	0.0517275
"Sela Ward"	0.0516908
"Kirk Douglas"	0.0514649
Cusack	0.0512593
"Jeremy Irons"	0.0510597
Braugher	0.0510595
"Alicia Silverstone"	0.0509999
"Sarah Michelle Gellar"	0.0509942
"Steve McQueen"	0.0508081
"Tom Selleck"	0.0504431
"Jennifer Love Hewitt"	0.0501123
"Heather Graham"	0.0500266
"Liam Neeson"	0.0497495
"William Hurt"	0.0497461
"Ellen Burstyn"	0.0497436
"Geena Davis"	0.0496119
"Rob Lowe"	0.0496046
"Steve Martin"	0.0490557
"Sidney Poitier"	0.0487685
"Norm MacDonald"	0.0485764
"Stephen Rea"	0.0485707
"Aidan Quinn"	0.0477997
Deneuve	0.047732
"Kirsten Dunst"	0.0477194
"Diane Keaton"	0.04764
"Sigourney Weaver"	0.0475355
"Sylvester Stallone"	0.0472589
"Brad Pitt"	0.0472267
Broderick	0.0470236
Brosnan	0.0469553
"Taye Diggs"	0.0463921
"Arnold Schwarzenegger"	0.0463919
"Gwyneth Paltrow"	0.046122
"Patrick Stewart"	0.0461097
"Jeff Daniels"	0.0460934
"Cate Blanchett"	0.0459608
"Chow Yun-Fat"	0.0459023
"Vivien Leigh"	0.0455942
"James Caan"	0.0455215
"Dwight Yoakam"	0.045502
"Matthew Perry"	0.0454376
"Christopher Walken"	0.0453268
"Richard Burton"	0.0449404
"Joseph Fiennes"	0.0446988
"John Leguizamo"	0.0446058
"Kenneth Branagh"	0.044384
"Warren Beatty"	0.0442934
"James Cagney"	0.0442275
"Mod Squad"	0.0440714
"Billy Bob Thornton"	0.043783
Costner	0.0437134
"James Woods"	0.0436465
"Ted Danson"	0.0435676
"Catherine Deneuve"	0.04354
"David Arquette"	0.0433353
"Denis Leary"	0.0433112
"Ally Sheedy"	0.0424817
"Matthew Broderick"	0.0423585
"Gregory Peck"	0.0419631
"Albert Brooks"	0.0415715
"George Clooney"	0.0415646
"Gabriel Byrne"	0.041361
"Juliette Lewis"	0.0413531
"Mark Wahlberg"	0.0411974
"Gillian Anderson"	0.0409802
"Angela Bassett"	0.0409406
"Stanley Tucci"	0.0408893
"Richard Gere"	0.04071
"Paul Reiser"	0.0406912
"Christian Bale"	0.0405676
"Giovanni Ribisi"	0.0404035
"Russell Crowe"	0.0400605
"Ryan Phillippe"	0.0400436
))
("Bill Pullman" (desc 1536.67) (sims
"Alicia Silverstone"	0.180024
"Oliver Platt"	0.153338
"Anjelica Huston"	0.149018
"Bridget Fonda"	0.133921
"Stanley Tucci"	0.124866
Tucci	0.122252
"Cameron Diaz"	0.121343
"David Arquette"	0.118416
"Billy Bob Thornton"	0.115304
"Ben Affleck"	0.107013
Pullman	0.103995
"Tracey Ullman"	0.0971167
"Nathan Lane"	0.0958861
"Halle Berry"	0.0883429
"Dwight Yoakam"	0.0879825
"Renee Zellweger"	0.0871683
"Drew Barrymore"	0.0866667
"John Leguizamo"	0.0855886
"Matthew McConaughey"	0.0855649
"Edward Norton"	0.0834737
"Angela Bassett"	0.0816713
"Bill Paxton"	0.0812421
"Liam Neeson"	0.0810624
"Greg Kinnear"	0.0779765
"Carol Burnett"	0.077855
"Ashley Judd"	0.0777989
"Gwyneth Paltrow"	0.0774096
"Claire Danes"	0.0773154
"Taye Diggs"	0.0771261
"Chloe Sevigny"	0.0769211
"Lily Tomlin"	0.0769108
"Ray Romano"	0.0755428
"Natalie Portman"	0.0750417
Damon	0.074886
"Chris Rock"	0.0748012
"Ben Stiller"	0.0747279
"Ian McKellen"	0.0743698
"Sharon Stone"	0.0739575
"Famke Janssen"	0.0734598
"Helen Mirren"	0.0733256
"Alfre Woodard"	0.0729734
"Penelope Cruz"	0.072218
"Michael J. Fox"	0.0707843
"Chow Yun-Fat"	0.0706364
"JOHN TURTURRO"	0.0703819
"Kenneth Branagh"	0.0700698
"Woody Harrelson"	0.0696032
"Tom Sizemore"	0.0691548
"Matt Damon"	0.0683591
"Ally Sheedy"	0.0682078
"Sally Field"	0.0680132
"Jeremy Northam"	0.0674691
"Uma Thurman"	0.067043
"Bette Midler"	0.0668441
"Sela Ward"	0.0649843
"Geoffrey Rush"	0.0635886
"Steve Martin"	0.0631034
"Robin Williams"	0.0629149
"Ralph Fiennes"	0.0625341
"Jude Law"	0.0625022
"Richard Dreyfuss"	0.0621596
Cleese	0.0613813
Midler	0.0606186
"John Cleese"	0.0604411
"Richard Gere"	0.0598842
"Spencer Tracy"	0.0587926
"Denis Leary"	0.0585927
"Kevin Bacon"	0.0584987
"Peter Fonda"	0.0578803
"Martin Lawrence"	0.0578332
"Leonardo DiCaprio"	0.0577503
"James Earl Jones"	0.0576655
"Vivien Leigh"	0.0574575
"William Hurt"	0.0572796
"Catherine Deneuve"	0.0571825
"Sandra Bullock"	0.0567522
"Ian Holm"	0.0567059
"Julie Andrews"	0.0560193
"James Van Der Beek"	0.0560113
"Nicole Kidman"	0.0560045
"Kirsten Dunst"	0.0558451
"Christopher Reeve"	0.0557628
"Annette Bening"	0.0554807
"Mira Sorvino"	0.0552753
"Henry Fonda"	0.0552455
"Jeremy Irons"	0.0550859
"Robert DeNiro"	0.0550772
"Roberto Benigni"	0.0548903
"Kirk Douglas"	0.0547712
"Pierce Brosnan"	0.0546617
"Jeff Bridges"	0.0545432
"Heather Graham"	0.0544176
"Janeane Garofalo"	0.0543117
"Winona Ryder"	0.054136
"Robert Duvall"	0.0537882
"Patrick Stewart"	0.0537701
"Kathleen Turner"	0.0536775
"Gregory Peck"	0.0535862
"Juliette Lewis"	0.0533841
"Janet McTeer"	0.0533108
"Albert Brooks"	0.0529933
"Thandie Newton"	0.0526171
"Cate Blanchett"	0.0525579
"Jennifer Lopez"	0.0523652
"Burt Lancaster"	0.0520614
"Wesley Snipes"	0.0520373
"Sidney Poitier"	0.0518651
"Norm MacDonald"	0.0517063
"Christina Ricci"	0.0514417
"Rob Lowe"	0.0513839
"Melanie Griffith"	0.051224
"James Cagney"	0.0508345
"Ethan Hawke"	0.0508118
"Jamie Foxx"	0.050646
"Leelee Sobieski"	0.0506234
"Sean Penn"	0.0506193
"Val Kilmer"	0.0505495
"Adam Sandler"	0.0503377
"Kevin Costner"	0.0501403
"Bernadette Peters"	0.0499943
"Jeff Goldblum"	0.0499293
"Michelle Pfeiffer"	0.0498079
"Jon Voight"	0.0496186
"Nick Nolte"	0.0495657
"Ed Harris"	0.0494904
"Jessica Lange"	0.0494682
"Brad Pitt"	0.0484285
"Chris Klein"	0.0482402
"David Spade"	0.0481698
"Kelsey Grammer"	0.0480023
"Jimmy Stewart"	0.0479449
"Johnny Depp"	0.0474994
"Antonio Banderas"	0.0474711
"Keanu Reeves"	0.0474403
"Samuel L. Jackson"	0.0473885
"Mike Myers"	0.0473637
"Jason Alexander"	0.0471179
"Eddie Murphy"	0.0470269
Costner	0.046525
"Blue Room"	0.0463636
"Jay Mohr"	0.0460536
"Joseph Fiennes"	0.0460479
"Ewan McGregor"	0.0459527
"Nigel Hawthorne"	0.0459488
gonzo	0.0457927
"Sigourney Weaver"	0.0454459
"Van Dyke"	0.0454435
"Richard Burton"	0.0452673
"Diane Keaton"	0.0451474
"Tom Selleck"	0.0451251
"Jodie Foster"	0.0450921
"Lara Croft"	0.0450842
"Martin Sheen"	0.0450738
"John Belushi"	0.0450588
Braugher	0.0450257
"Paul Newman"	0.0449875
"Lana Turner"	0.0449832
"Edward Furlong"	0.0448095
"Kathy Bates"	0.0447682
"Anthony Hopkins"	0.0447647
"Bette Davis"	0.0446987
"Matthew Perry"	0.0445156
"Kim Basinger"	0.0443169
"Sarah Michelle Gellar"	0.0442134
"Ben Crenshaw"	0.0441082
"Patricia Arquette"	0.0440366
"Dustin Hoffman"	0.043567
"Christian Bale"	0.0433455
"Matt Dillon"	0.043322
"Ryan Phillippe"	0.0433183
"Brian Dennehy"	0.0432924
"Kate Winslet"	0.0432743
"Reese Witherspoon"	0.0431824
"Peter Lynch"	0.0431734
"Brenda Blethyn"	0.0430013
"Brooke Shields"	0.0429354
"Bebe Neuwirth"	0.0428634
"Walter Matthau"	0.0427639
"Nicolas Cage"	0.0427383
"Demi Moore"	0.0426049
"Michael Douglas"	0.0425951
Bjork	0.0424144
"Tim Allen"	0.0423695
"Jennifer Love Hewitt"	0.0423356
"Mark Wahlberg"	0.0422299
"Jack Lemmon"	0.0422162
"Brendan Fraser"	0.0421166
"Billy Crudup"	0.0421005
"Renee Fleming"	0.0420966
"Bill Cosby"	0.0419503
"Dame Judi Dench"	0.041641
"Matthew Broderick"	0.0414981
"Gabriel Byrne"	0.0414962
"Vince Vaughn"	0.0414806
"Sarah Jessica Parker"	0.0414487
"Minnie Driver"	0.0413899
Kingsley	0.0413845
"Harvey Keitel"	0.0413673
"Gary Cooper"	0.041347
"Clint Eastwood"	0.0410333
))
("Bill Pulsipher" (desc 1646.01) (sims
"Jason Bere"	0.28887
"Jamey Wright"	0.253345
"Turk Wendell"	0.235974
"John Snyder"	0.230538
"STEVE WOODARD"	0.230013
"Scott Karl"	0.22579
"Russ Ortiz"	0.214827
"Bob Wickman"	0.208657
"Bryce Florie"	0.207622
"Jon Lieber"	0.207592
"Mark Gardner"	0.200662
"Masato Yoshii"	0.200602
"Brian Moehler"	0.198015
"Ron Villone"	0.194412
"Woody Williams"	0.187771
"Jeff Weaver"	0.187231
"Terry Mulholland"	0.182188
"Tom Candiotti"	0.181326
"Jason Schmidt"	0.180938
"Dave Mlicki"	0.180663
"Javier Vazquez"	0.177926
"Dennis Cook"	0.177457
"Matt Morris"	0.174793
"John Burkett"	0.173911
"Chris Carpenter"	0.173008
"Jose Jimenez"	0.171692
"Carl Pavano"	0.17122
"Armando Reynoso"	0.167714
"Paul Byrd"	0.167186
"Eric Milton"	0.166538
"Francisco Cordova"	0.165754
"Gil Heredia"	0.164837
"Mark Clark"	0.163415
"Jesus Sanchez"	0.163367
"Jason Isringhausen"	0.163146
"Octavio Dotel"	0.162877
"Scott Schoeneweis"	0.162742
"Byung-Hyun Kim"	0.16161
"Kent Bottenfield"	0.160689
"Scott Williamson"	0.1597
"Brian Bohanon"	0.158671
"Paul Abbott"	0.158634
"BRIAN MEADOWS"	0.158384
"Steve Parris"	0.15831
"Dave Burba"	0.158224
"Brad Radke"	0.157316
"Armando Benitez"	0.156206
"Kevin Tapani"	0.155773
"Al Leiter"	0.154541
"Brian Rose"	0.153603
"Rich Rodriguez"	0.153386
"Pete Schourek"	0.153045
"Rick Aguilera"	0.151472
"Pedro Astacio"	0.15024
"Jim Parque"	0.150149
"Danny Graves"	0.149135
"Pat Mahomes"	0.148696
"Pat Hentgen"	0.148657
"Dustin Hermanson"	0.147759
"Omar Olivares"	0.147713
"Tim Hudson"	0.147454
"Shawn Estes"	0.146847
"Joey Hamilton"	0.146657
"Chris Holt"	0.146638
"Brett Tomko"	0.146126
"Scott Erickson"	0.145868
"Jin Ho Cho"	0.145636
Bottenfield	0.142402
"Russ Springer"	0.141586
"Jaret Wright"	0.141305
"Esteban Loaiza"	0.14103
"Rick White"	0.140887
"Hideki Irabu"	0.140749
"Mike Remlinger"	0.14068
"Rick Reed"	0.140617
"Pat Rapp"	0.139062
"Jamie Moyer"	0.138954
"Scott Radinsky"	0.13892
"Kirk Rueter"	0.138819
"Kevin Appier"	0.138816
"Darren Oliver"	0.137927
"Doug Davis"	0.137075
"Bruce Chen"	0.137055
"Brian Anderson"	0.136669
"Steve Sparks"	0.136611
"John Halama"	0.136594
"Mark Petkovsek"	0.136464
"Wilson Alvarez"	0.136153
"Steve Trachsel"	0.134501
"Doug Henry"	0.134267
"John Franco"	0.134123
"Bartolo Colon"	0.133838
"Jarrod Washburn"	0.133387
"Justin Thompson"	0.132988
"Freddy Garcia"	0.132339
"Steve Avery"	0.132174
"Brett Hinchliffe"	0.132101
"Mike Sirotka"	0.132077
"Hideo Nomo"	0.132011
"Ken Cloude"	0.131992
"Al Levine"	0.131519
"Chuck Finley"	0.13138
"Willie Blair"	0.131251
"Pedro Borbon"	0.130992
"Jason Dickson"	0.130948
"Orel Hershiser"	0.130602
"Mike Hampton"	0.130336
"Mac Suzuki"	0.129544
"Odalis Perez"	0.129427
"Ramon Ortiz"	0.128405
"Dan Miceli"	0.128348
"Mike Magnante"	0.128118
"Ricky Bottalico"	0.128043
"Mark Langston"	0.12789
"Ryan Dempster"	0.12786
"Tim Wakefield"	0.127549
"Rod Beck"	0.125921
"Scott Elarton"	0.125542
"Sidney Ponson"	0.125314
"Matt Herges"	0.124974
"Randy Myers"	0.124798
"Kent Mercker"	0.124595
"Bobby Jones"	0.124408
"Jeff Fassero"	0.123953
"Ramon Martinez"	0.123872
"Ugueth Urbina"	0.123579
"Mark Portugal"	0.123166
"Dwight Gooden"	0.122976
"Darren Dreifort"	0.122533
"Ramiro Mendoza"	0.122502
"Alex Fernandez"	0.122331
"Jose Paniagua"	0.122284
"Sean Bergman"	0.121742
"Brian Cooper"	0.121474
Kile	0.121356
"Vladimir Nunez"	0.121156
"Charles Nagy"	0.121083
"Omar Daal"	0.120892
"Mike Timlin"	0.12071
"Rick Helling"	0.120122
"Mike Morgan"	0.119823
"Pete Harnisch"	0.119688
"Shigetoshi Hasegawa"	0.119546
"Dennis Reyes"	0.119383
"Frankie Rodriguez"	0.119292
Harnisch	0.119254
"Jason Christiansen"	0.118745
"Paul Shuey"	0.117786
"Troy Percival"	0.117671
"Carlos Perez"	0.117362
"Rolando Arrojo"	0.116163
"John Wasdin"	0.115785
"Greg McMichael"	0.115624
"Shane Reynolds"	0.114489
"Terry Adams"	0.114234
"Billy Taylor"	0.114164
Rusch	0.114107
"Jason Grimsley"	0.113744
"Juan Guzman"	0.112894
"Jack McDowell"	0.112782
"Denny Neagle"	0.112703
"Aaron Sele"	0.111953
"Matt Perisho"	0.111911
"Todd Stottlemyre"	0.11112
"Mike Mussina"	0.110959
"Ismael Valdes"	0.110827
"Robb Nen"	0.1105
"Jose Mesa"	0.110489
"Jamie Arnold"	0.110439
"Jay Powell"	0.110105
"Chan Ho Park"	0.109567
"Ed Yarnall"	0.109065
"Allen Watson"	0.108401
"Robinson Checo"	0.107975
"Rich Garces"	0.107895
"Sterling Hitchcock"	0.107762
"Tim Belcher"	0.107648
"Alan Embree"	0.107595
"Livan Hernandez"	0.10733
"Mike Holtz"	0.107325
"Heathcliff Slocumb"	0.106536
"Ryan Glynn"	0.106247
"Arthur Rhodes"	0.105809
"Andy Benes"	0.105798
Benes	0.105394
"Ken Hill"	0.105132
"Kenny Rogers"	0.104813
"John Smoltz"	0.104718
Pulsipher	0.104695
"James Baldwin"	0.104693
"Paul Spoljaric"	0.103668
"Jeff Nelson"	0.103666
Mlicki	0.103546
D'Amico	0.102627
"Brad Penny"	0.102582
"Jose Lima"	0.10228
"John Hudek"	0.102151
"Fernando Vina"	0.101845
"Antonio Osuna"	0.101695
"Greg Swindell"	0.101682
"Andy Ashby"	0.10134
"Orlando Hernandez"	0.100828
"Curt Schilling"	0.100744
Lieber	0.100524
))
("Bill Ranford" (desc 1686.58) (sims
"Mikhail Shtalenkov"	0.319793
"Dan Cloutier"	0.29869
"Manny Fernandez"	0.269434
"Norm Maracle"	0.264978
"Rob Tallas"	0.264662
"Olaf Kolzig"	0.257045
Ranford	0.256063
"Mike Vernon"	0.239045
"Fred Brathwaite"	0.234281
"John Grahame"	0.229678
"Roman Turek"	0.225334
"John Vanbiesbrouck"	0.225109
"Trevor Kidd"	0.222218
"Jocelyn Thibault"	0.218154
"Arturs Irbe"	0.215326
"Felix Potvin"	0.213197
"Steve Shields"	0.206167
"Sean Burke"	0.204405
"Damian Rhodes"	0.202089
"Manny Legace"	0.198057
"Chris Osgood"	0.192763
"Ron Tugnutt"	0.186468
"Tommy Salo"	0.182615
"Wendel Clark"	0.173327
"Tom Barrasso"	0.173255
"Guy Hebert"	0.162945
"Tom Presthus"	0.160649
"Ulf Samuelsson"	0.152246
"Nikolai Khabibulin"	0.15051
"Kevin Hartman"	0.146624
"Dale Hunter"	0.145407
"Curtis Joseph"	0.14513
"Jamie Storr"	0.141792
"Grant Fuhr"	0.141648
"Byron Dafoe"	0.136687
"Mike Richter"	0.135622
"Zach Thornton"	0.135343
"Stephane Fiset"	0.133945
"Gus Frerotte"	0.130418
"Jeff Weaver"	0.119529
"Brad Friedel"	0.116611
"Patrick Roy"	0.108691
"Martin Brodeur"	0.105393
Barrasso	0.104779
"Damon Huard"	0.101909
Legace	0.0998444
"Chris Chelios"	0.0977846
"two pitchers"	0.0972935
"Ed Belfour"	0.0960233
"Tony Meola"	0.0959449
"Briana Scurry"	0.0958415
"Brian Moehler"	0.0928473
"Adam Oates"	0.0923788
Potvin	0.0911165
"Dominik Hasek"	0.0895634
Taffarel	0.08807
"Marcus Outzen"	0.0871923
"Bryce Florie"	0.0863221
"Eric Zeier"	0.085088
"Greg Adams"	0.0850496
"Neil O'Donnell"	0.0844961
"Angelo Peruzzi"	0.0834175
"Walter Zenga"	0.0833414
Moog	0.0815455
"Jim Druckenmiller"	0.081389
"Eric Murdock"	0.081191
"Jorge Campos"	0.0789766
"Sedrick Shaw"	0.0779621
Duchesne	0.0779261
"Glenn Foley"	0.0771666
Schmeichel	0.0767581
"Erik Kramer"	0.076521
"Wilson Alvarez"	0.0763815
Burba	0.0752371
"Doug Pederson"	0.0750806
"John Snyder"	0.0746049
Dafoe	0.0744216
Cormier	0.0741872
"Dave Brown"	0.0739984
Fuhr	0.0726879
"Eric Milton"	0.0724979
"Ty Detmer"	0.0716656
"Rodney Peete"	0.071062
copilot	0.0705726
"Tim Hudson"	0.0701619
"Kasey Keller"	0.070109
Fiset	0.069541
"Nicklas Lidstrom"	0.0695132
"Steve Trachsel"	0.0686876
"Tony Hutson"	0.0684338
Irvan	0.0683699
"Gil Heredia"	0.0679261
Eldred	0.0677595
"Gianluca Pagliuca"	0.0677131
"Fabien Barthez"	0.0671046
"Trent Dilfer"	0.0669554
Longo	0.0665089
"Chad Morton"	0.0662322
Hebert	0.0661966
Candiotti	0.0659283
"Russ Ortiz"	0.0659214
Newsome	0.065576
"Paul Justin"	0.0654906
"Jon Lieber"	0.065485
"Charlie Batch"	0.0654666
"Steve DeBerg"	0.0648278
Baerga	0.0647541
"Peter Schmeichel"	0.0646234
"Keith Jones"	0.064564
Harkes	0.0639136
Grahame	0.0637735
"Trent Green"	0.0635123
"BRIAN MEADOWS"	0.0634194
"Robert Reichel"	0.0631469
Geiger	0.0631056
"three pitchers"	0.0629614
"Willie Blair"	0.0628967
"Tony Graziani"	0.0628255
Appier	0.0625829
Thibault	0.0624959
Vanbiesbrouck	0.0624562
"Todd Husak"	0.0622607
"Rob Johnson"	0.061984
"Hideo Nomo"	0.0619728
"Sean Rooks"	0.0618051
"Mike Van Raaphorst"	0.0615241
"Rick Mirer"	0.0614098
"Dave Mlicki"	0.0613317
"Shammond Williams"	0.0608576
"Scott Zolak"	0.0608575
"Brian Anderson"	0.060764
Salo	0.0607125
Laperriere	0.0607061
"Kent Graham"	0.0605879
"Quinton McCracken"	0.0605092
"Drew Bennett"	0.0604313
"Rolando Arrojo"	0.0601253
"Gregg Zaun"	0.0600231
Atwater	0.0595465
"Drazen Ladic"	0.0594942
"Pete Schourek"	0.0592069
"Bubby Brister"	0.0591297
Turek	0.0590671
"John Burkett"	0.0589989
"Ryan Kealy"	0.0589829
"Joe Juneau"	0.0589528
"CORIE BLOUNT"	0.0589407
"Brad Johnson"	0.0587687
Astacio	0.0585404
"Scott Mitchell"	0.0584264
"JOHN FRIESZ"	0.0583586
"Einar Diaz"	0.0582881
"Chris Carpenter"	0.058234
Harnisch	0.0581513
"Chris Simms"	0.0580644
"Jyrki Lumme"	0.0580094
"John Lynch"	0.0577006
"Orel Hershiser"	0.0573173
"War Chant"	0.0573026
"Darren McCarty"	0.0573007
"Mark Portugal"	0.0571588
"Paul Abbott"	0.0571555
"Jason Bere"	0.0569372
"Mac Suzuki"	0.056784
"Bill Pulsipher"	0.0566009
netminder	0.0564635
"Russ Springer"	0.0563398
"Jason Garrett"	0.0562586
"Dave Burba"	0.0561999
"Rick Tocchet"	0.0561528
Mahomes	0.0561337
Denis	0.0556293
"Manny Malhotra"	0.0553961
"David Seaman"	0.0553626
Mlicki	0.0553579
"Bobby Hoying"	0.0553095
"Dave Andreychuk"	0.0552873
Nicol	0.0551513
"Rony Seikaly"	0.0549445
Daigle	0.0548396
Shields	0.0546856
"Theo Fleury"	0.0546764
"Derek Harper"	0.0546539
"Kevin Appier"	0.0545743
"Pat Rapp"	0.0545738
"John Salley"	0.0541891
Curley	0.0540155
"Brian Hunter"	0.0536875
"Vitaly Potapenko"	0.0536491
Wiberg	0.0536143
Loaiza	0.0536136
Biffle	0.0534484
Storr	0.0533224
"Tim Wakefield"	0.0532183
FAWCETT	0.0528871
"Drew Henson"	0.0527123
"Jeff Garcia"	0.0526103
Gatling	0.0524571
"Jason Schmidt"	0.0523952
"Isaiah Rider"	0.0523707
))
("Bill Richardson" (desc 9880.06) (sims
"Richard Holbrooke"	0.208707
"Richard C. Holbrooke"	0.200732
"William Perry"	0.193699
"Rodney Slater"	0.192745
"William Cohen"	0.190474
"Qin Huasun"	0.180582
"Robert Rubin"	0.174122
Richardson	0.16643
"William Daley"	0.164147
"Stuart Eizenstat"	0.162631
"Vladislav Jovanovic"	0.158691
"Lawrence Summers"	0.158673
"George Robertson"	0.156958
"Donna Shalala"	0.156251
"Robert Gelbard"	0.152044
"Christopher Hill"	0.148171
"Jeremy Greenstock"	0.14628
"Dan Glickman"	0.143776
"Robin Cook"	0.141286
"Dennis Ross"	0.137754
"Dore Gold"	0.134878
"Li Zhaoxing"	0.131167
Holbrooke	0.12891
"Madeleine Albright"	0.127092
"Jack Straw"	0.126916
"Janet Reno"	0.126785
"secretary of state"	0.125283
"Mo Mowlam"	0.125109
"Viktor Chernomyrdin"	0.124936
"Valery Pustovoitenko"	0.123107
"Javier Solana"	0.122019
"John Major"	0.121969
"Charlene Barshefsky"	0.121743
"Ron Brown"	0.12118
Glickman	0.120119
"Atal Bihari Vajpayee"	0.119035
"Orlando Mercado"	0.118763
"Ryutaro Hashimoto"	0.117797
Ekeus	0.116838
"Rafik Hariri"	0.116199
Albright	0.116182
"Antonio Guterres"	0.115214
"Michael Portillo"	0.114482
"Andrew Cuomo"	0.113251
"Yevgeny Primakov"	0.112968
"Sergei Stepashin"	0.112765
"Romano Prodi"	0.11254
"Bruce Babbitt"	0.112376
"Lionel Jospin"	0.112321
"Atef Obeid"	0.112235
"Richard Butler"	0.112034
"National Security Adviser Sandy Berger"	0.111921
"Phan Van Khai"	0.111754
"Jordanian King Abdullah Bin Hussein"	0.111725
"Wang Yingfan"	0.111257
"Richard Riley"	0.111028
"Defense William Cohen"	0.110545
"Alexis Herman"	0.110279
"Yoshiro Mori"	0.110209
"Keizo Obuchi"	0.110008
"Inder Kumar Gujral"	0.109864
Alatas	0.109374
"Peter Mandelson"	0.109304
"Pandeli Majko"	0.108934
"Dick Cheney"	0.108653
"Secretary General Esmat Abdel-Meguid"	0.108628
Ivanov	0.108515
Dini	0.108012
"Jean Chretien"	0.106886
"Robert E. Rubin"	0.106372
"Anthony Lake"	0.106097
Cohen	0.105685
"Chavalit Yongchaiyudh"	0.105399
"Kamal Kharrazi"	0.105383
"Carl Bildt"	0.10454
"John Howard"	0.104201
"Rolf Ekeus"	0.104196
Pickering	0.103232
"Radu Vasile"	0.102923
"Sergei Kiriyenko"	0.102813
"Frederick Sumaye"	0.102519
"Victor Chernomyrdin"	0.102232
"Costas Simitis"	0.102232
"Vo Van Kiet"	0.101479
"Necmettin Erbakan"	0.101226
Primakov	0.101138
"Abdul Karim Kabariti"	0.100599
"Vladimir Putin"	0.100595
Babbitt	0.100517
"Ivan Kostov"	0.100123
Dehaene	0.0999538
"deputy foreign minister"	0.0994129
"Atal Behari Vajpayee"	0.099249
"Alain Juppe"	0.0989359
Pangalos	0.0989043
"Secretary of Defense"	0.0985989
"William S. Cohen"	0.0983328
Ciampi	0.0978916
"Mesut Yilmaz"	0.0977534
Weizman	0.0977164
"President Kim Dae-jung"	0.0976917
Rubin	0.0975576
al-Khatib	0.0973611
"Tony Blair"	0.0971929
Moi	0.0970185
"Chuan Leekpai"	0.096104
Abubakar	0.0957701
Scalfaro	0.0957426
Juppe	0.0957105
"Pascoal Mocumbi"	0.0956235
"Jose Maria Aznar"	0.0952946
Aziz	0.0952849
"Wolfgang Petritsch"	0.0951657
Shalala	0.0949289
"Benjamin Netanyahu"	0.0948539
"Mahathir Mohamad"	0.0945831
Samaranch	0.0945142
"Girija Prasad Koirala"	0.0944225
"Wlodzimierz Cimoszewicz"	0.0943581
Demirel	0.0942348
Kuchma	0.0941902
"Lamberto Dini"	0.09394
Komura	0.0936874
Kharrazi	0.0933695
"Goh Chok Tong"	0.0932417
Vedrine	0.0932406
"Saeb Erekat"	0.0932323
Kinkel	0.0929957
Stoyanov	0.0926447
Barshefsky	0.0924297
Kasoulides	0.0922946
"Kofi Annan"	0.0921506
Chernomyrdin	0.0921351
"Amnuay Virawan"	0.0919368
Zedillo	0.0917869
"Bulent Ecevit"	0.091558
"Shimon Peres"	0.0915341
"Chris Smith"	0.0914929
Banharn	0.0914919
Siazon	0.0913438
Simitis	0.090945
Solana	0.0909046
"Jia Qinglin"	0.0908409
Jayakumar	0.0906771
"security adviser"	0.0906485
"President Lee Teng-hui"	0.090591
"Nawaz Sharif"	0.0904099
Estrada	0.090291
"Lakhdar Brahimi"	0.0902074
Narayanan	0.0901459
Ecevit	0.0901216
Ahtisaari	0.0900729
Hashimoto	0.090029
"Betty Currie"	0.0897841
"Khin Nyunt"	0.0897713
Sahnoun	0.0895174
Daley	0.0893982
Ivester	0.089385
"Christie Whitman"	0.0893498
"Fatos Nano"	0.0892044
Cem	0.0891199
"Mikhail Kasyanov"	0.0890501
Annan	0.0890023
secretary	0.0889537
"Chief Executive Tung Chee-hwa"	0.0889298
"Paavo Lipponen"	0.0889255
"Roy Barnes"	0.0888734
Gujral	0.0886113
"Sher Bahadur Deuba"	0.0885432
"Sheikh Hasina"	0.0883473
Kiriyenko	0.0882349
Wolfensohn	0.0880495
Chirac	0.0880291
Chretien	0.087921
Vajpayee	0.0878503
Sergeyev	0.0875932
Chuan	0.0873949
Meles	0.0873443
"Henry Cisneros"	0.0873004
"Ehud Barak"	0.0871836
el-Ganzouri	0.0871724
"de Charette"	0.0869247
"Deve Gowda"	0.0869049
Vasile	0.0868911
"Jerzy Buzek"	0.0868679
Rafsanjani	0.086661
"Meles Zenawi"	0.0865925
Ambassador	0.0862726
Chavalit	0.0859949
"Salim Hoss"	0.0858693
Blair	0.0858415
Phieu	0.0856166
"John Prescott"	0.0853911
al-Sahhaf	0.0852406
Khamenei	0.0851352
Koirala	0.085063
Hariri	0.0849101
"Alan Greenspan"	0.0848092
"Bertie Ahern"	0.084714
Nzo	0.0847106
))
("Bill Romanowski" (desc 2340.71) (sims
"Darrien Gordon"	0.276676
"Rod Smith"	0.180519
"Shannon Sharpe"	0.175385
"Ed McCaffrey"	0.161423
"Steve Atwater"	0.137629
"Gary Kubiak"	0.134844
"Jason Elam"	0.131153
"Terrell Davis"	0.128362
"Jessie Tuggle"	0.123483
"Brian Griese"	0.121179
"Dale Carter"	0.119273
"Neil Smith"	0.115269
Romanowski	0.115195
"John Elway"	0.112482
"Zach Thomas"	0.101962
Geiger	0.0977619
"Henri Crockett"	0.0963812
"Chris Claiborne"	0.0959928
"Derrick Thomas"	0.0951042
"Mo Lewis"	0.0930264
Godfrey	0.0920886
"Bryan Cox"	0.0870646
"Jessie Armstead"	0.0839458
"Quentin Coryatt"	0.0837581
"Randall Godfrey"	0.0829722
Kazhegeldin	0.0809422
Gorter	0.0791867
Finkel	0.078785
Alarcon	0.0745774
Murrell	0.0745288
"Chad Brown"	0.0744654
"Jamir Miller"	0.0738621
Solis	0.0738314
Ainge	0.0735262
"Pepper Johnson"	0.0730837
"Cornelius Bennett"	0.0729483
Mikhailov	0.0718275
Dodik	0.0717846
Mendez	0.0706913
"Ray Buchanan"	0.0698177
"Dexter Coakley"	0.0696872
"Andy Katzenmoyer"	0.0696316
"Todd Collins"	0.0694488
Dunleavy	0.0693334
Milbury	0.067913
"Tony White"	0.066881
Diouf	0.0667282
"tight end"	0.0649581
Heinrichs	0.0646646
"Ryan Nece"	0.0636225
Westbrook	0.0632422
Ruehe	0.0632249
"Cindy McCain"	0.0631132
"Robert Thomas"	0.0629192
Traylor	0.062654
Timlin	0.0626286
"Barry Sanders"	0.0623946
Advani	0.0619195
"Beth Israel"	0.0614243
Ackerman	0.0614099
Paxon	0.0613079
Rosenblatt	0.0612078
Kessler	0.0611404
"Tedy Bruschi"	0.0610966
Farris	0.061022
Najera	0.0608282
Ruggiero	0.0603041
Hybl	0.0602986
Espinosa	0.0602561
Camacho	0.0598821
Hartman	0.0598256
Okada	0.0597798
Rahal	0.0595578
"Dat Nguyen"	0.0595255
Padilla	0.0594965
Eizenstat	0.0594788
Tillman	0.0593196
Sapp	0.0591047
hodgson	0.0588664
beamer	0.0587933
"Ray Lewis"	0.0586075
"Stan Collymore"	0.0585785
"Keith Brooking"	0.058477
McKenna	0.0582891
"Jamal Anderson"	0.0582611
Cubas	0.0582082
Braswell	0.0581982
Nickerson	0.0580399
Sherrill	0.0580392
Buzek	0.057997
Zambrano	0.0579272
SMIs	0.057796
BURNHAM	0.0576249
Parrott	0.0574422
"Darrin Smith"	0.0573871
"Paolo Di Canio"	0.057382
Marichal	0.0573745
Havelange	0.0573149
Kelleher	0.0569482
Ince	0.0568461
Diggs	0.0567632
Newhouse	0.0565963
Shipman	0.0565042
Haskins	0.0564948
Ganassi	0.056481
Reimer	0.0564742
Pruett	0.0564322
Borodin	0.0562709
Prewitt	0.0561924
Naumann	0.0561427
Ntakirutimana	0.0561182
Chadwick	0.0561155
"administration official"	0.0561112
Jarrell	0.0559265
Switzer	0.0558662
White-McCarty	0.0557672
Danner	0.0555767
McCray	0.0553672
"LaVar Arrington"	0.0551802
McLane	0.0550664
Vandal	0.0549172
linemen	0.0549044
DeBerg	0.0547811
Rongen	0.0547431
"Aeneas Williams"	0.0547232
"Chris Slade"	0.0545798
Bullard	0.0544974
"Mike Shanahan"	0.054435
Tuggle	0.0544164
Aguirre	0.0543006
"Eugene Robinson"	0.0542346
Musa	0.0541306
Conroy	0.0539877
Morgenthau	0.0539525
Patel	0.0539422
Skiles	0.0539269
Andreychuk	0.0538426
Mladic	0.0535776
"Tony Coelho"	0.053548
Summitt	0.0534597
Swango	0.053445
Constantine	0.0533765
"Consumer Product Safety Commission"	0.0531464
"Laura Bush"	0.0531295
Wenger	0.0530812
Troussier	0.0530049
Schoeneweis	0.0529727
Parris	0.052887
McQueen	0.0528819
"Bora Milutinovic"	0.0526526
Madden	0.0524744
Jeffers	0.05245
Iger	0.0524412
Sato	0.0524339
Edelstein	0.0524281
Fagan	0.0523401
Hensley	0.0523219
Tait	0.0522966
Fulmer	0.0522852
Sykes	0.0521317
Monson	0.0521256
Evernham	0.052122
Wasserman	0.0520151
Rapp	0.0519998
Difrancesco	0.0519137
Valenzuela	0.0515126
Granville	0.051423
Fleischer	0.0513506
Nguyen	0.0513502
Rylander	0.0513328
Conte	0.0513018
McInnis	0.0511358
Enis	0.0510878
Abernathy	0.0510052
Brazile	0.0509438
Sharma	0.0509438
Coelho	0.0509311
"Garrison Hearst"	0.0509239
Manley	0.0508741
DeFrantz	0.0507754
Goossen	0.0507445
Sharpe	0.0506044
Ruthardt	0.0505893
Lowery	0.0505326
NCEC	0.0504678
Rossotti	0.0503851
Liao	0.0503188
"Ted Johnson"	0.0502949
Chouinard	0.0502856
Fieger	0.0502624
Sather	0.0501658
Moakley	0.0500112
Polian	0.0499504
McGuire	0.0499466
Zucker	0.0498943
Haouari	0.0498896
Layden	0.0497821
Verney	0.0497091
Narayanan	0.0496822
Kearin	0.0496534
))
("Bill Russell" (desc 9495.43) (sims
"Kareem Abdul-Jabbar"	0.215545
"Oscar Robertson"	0.191862
"Bob Cousy"	0.189347
"Larry Bird"	0.180646
"Julius Erving"	0.165405
"John Havlicek"	0.162489
"Elgin Baylor"	0.159725
"Magic Johnson"	0.15222
"Wilt Chamberlain"	0.140384
"Jerry West"	0.121112
"Michael Jordan"	0.112053
"James Worthy"	0.111556
"Isiah Thomas"	0.110169
"Willis Reed"	0.106857
"Dennis Johnson"	0.0955498
Russell	0.0944978
"Reggie Lewis"	0.0926084
"Hank Aaron"	0.0901978
"Paul Pierce"	0.0894096
"Joe Dumars"	0.089169
"Tommy Lasorda"	0.0881
"Bill Walton"	0.0870046
"Jim Leyland"	0.0868483
"Don Baylor"	0.0867118
"Rick Pitino"	0.0841457
"Kevin McHale"	0.0831205
"Charles Barkley"	0.0819344
"Lenny Wilkens"	0.0798858
"Sandy Koufax"	0.0796268
"Wayne Gretzky"	0.0795064
"Muhammad Ali"	0.0790277
"Ted Williams"	0.0789554
"Phil Jackson"	0.0780573
"Joe DiMaggio"	0.0764873
"Mike Hargrove"	0.0758709
"Terry Collins"	0.0753075
"Joe Montana"	0.0745969
"Hakeem Olajuwon"	0.0735188
"Glenn Hoddle"	0.072776
"Shaquille O'Neal"	0.0709234
Chamberlain	0.0706808
Pele	0.0700082
"John Elway"	0.0693145
"Jim Brown"	0.0692294
"Gordie Howe"	0.0690755
"Steve Garvey"	0.0678343
"Ron Mercer"	0.0675827
"John Wooden"	0.0674923
"Dave Cowens"	0.0670865
"Doak Walker"	0.0670267
"Billy Martin"	0.0663227
"Bobby Orr"	0.0659033
"Johnny Oates"	0.0653701
Abdul-Jabbar	0.0648417
"Karl Malone"	0.0645256
"Mickey Mantle"	0.0644367
"Tony La Russa"	0.0640683
"Tom Lasorda"	0.0634478
"Patrick Ewing"	0.0628704
"Pat Riley"	0.0625984
"Davey Johnson"	0.0622717
"Carl Lewis"	0.0621566
"Jack Nicklaus"	0.0616235
"Fred Claire"	0.0615799
"Pete Rose"	0.0613946
"Joe Torre"	0.0612233
"Pee Wee Reese"	0.060775
"Terry Bradshaw"	0.0607433
"Ruud Gullit"	0.0605308
"David Robinson"	0.060452
"Jimy Williams"	0.0601954
"Clyde Drexler"	0.0601725
"Kenny Anderson"	0.059579
"Dikembe Mutombo"	0.0594969
"Felipe Alou"	0.0592772
"Vitaly Potapenko"	0.0591745
"Mike Scioscia"	0.0590937
"Pete Carroll"	0.0589119
"Bobby Valentine"	0.0586503
"Babe Ruth"	0.05852
"Antoine Walker"	0.0585181
"Bill Parcells"	0.0584802
"Glenn Hoffman"	0.0583568
"Lou Piniella"	0.0579936
"Mario Lemieux"	0.0579272
"Davey Lopes"	0.057866
"Del Harris"	0.0576172
"Eric Cantona"	0.0575904
"Ty Cobb"	0.057471
"Bora Milutinovic"	0.0572113
"Willie Mays"	0.0570487
"Tim Johnson"	0.0570237
"P.J Carlesimo"	0.0568019
"Walter Payton"	0.0561374
"Don Zimmer"	0.0557283
"Tim Duncan"	0.0554256
"Dennis Rodman"	0.0553667
"Dean Smith"	0.0553626
"Penny Hardaway"	0.0545636
Gretzky	0.0543417
"Tony Coelho"	0.0541945
"John Calipari"	0.0534182
"Dan Marino"	0.0533923
"Dana Barros"	0.0532029
"Kobe Bryant"	0.0530258
"Troy Aikman"	0.0525198
"Indiana State"	0.0524615
"Richard Petty"	0.052418
"Gianluca Vialli"	0.0522151
"Payne Stewart"	0.0517134
"Steffi Graf"	0.0516231
"Roger Staubach"	0.0515677
"Carl Yastrzemski"	0.0514777
"Billie Jean King"	0.0514256
"Jayson Williams"	0.0513026
"Ricky Williams"	0.051291
"Reggie Miller"	0.0511884
"Martina Navratilova"	0.0511576
"Johan Cruyff"	0.0505066
"Jackie Robinson"	0.0504571
"Dave Wannstedt"	0.0504048
"Tiger Woods"	0.0503712
"Arthur Ashe"	0.0499842
"Mark Messier"	0.0498202
"Chuck Daly"	0.0497794
"Grant Hill"	0.0494612
"Arnold Palmer"	0.0494122
"Bobby Charlton"	0.0493306
Sabonis	0.0493129
"John McEnroe"	0.0489328
"David Stern"	0.0488935
"Alberto Tomba"	0.0487174
"Lou Gehrig"	0.0487062
"Roberto Clemente"	0.0485715
"George Karl"	0.0485386
"Bobby Cox"	0.0485337
"Mike Piazza"	0.0484483
Elway	0.0482273
"Don Nelson"	0.0481338
"Alonzo Mourning"	0.0481154
"Wang Zhizhi"	0.0478667
"Kevin Keegan"	0.04784
"Michael Olowokandi"	0.0477997
"Boomer Esiason"	0.047741
"Allen Iverson"	0.0477089
"Miguel Indurain"	0.0474326
"Steve Young"	0.0473837
"Lee Nailon"	0.0473676
"Dusty Baker"	0.0470959
"Tito Puente"	0.0469249
"Chamique Holdsclaw"	0.0468452
"John Thompson"	0.0464806
"Eric Lindros"	0.0464581
"Andre Agassi"	0.0460734
"Bobby Knight"	0.0460646
"Bob Bullock"	0.0459254
"Scottie Pippen"	0.0458076
"Johnny Unitas"	0.0455804
Waldner	0.0454571
"Vin Scully"	0.0451972
"Bjorn Borg"	0.0451828
"Dom Capers"	0.0451312
Howe	0.0451211
"O.J Simpson"	0.0450595
"Doc Rivers"	0.0449728
"Franz Beckenbauer"	0.044954
"Dave Stewart"	0.0448602
McHale	0.0448442
"John Stockton"	0.0447991
"Roger Clemens"	0.0447176
"Peter Lynch"	0.0446682
Landry	0.0445477
"David Duval"	0.044501
"Adrian Griffin"	0.044499
"Tom Osborne"	0.044464
"Dan Reeves"	0.044284
"Tom Landry"	0.0442089
"Pedro Martinez"	0.0441706
"Deion Sanders"	0.044047
"John Vanbiesbrouck"	0.0439414
"Kevin Garnett"	0.0438189
DiMaggio	0.043778
Shaq	0.043694
"Peyton Manning"	0.0436894
"Paul Silas"	0.0436691
"Greg Maddux"	0.0436611
"Danny Fortson"	0.0436505
Daylami	0.0436178
"Ben Hogan"	0.0435565
Clemente	0.0435542
"Mario Andretti"	0.0434832
O'Malley	0.0432659
"Damien Woody"	0.0431734
Pitino	0.0430983
"Steve Smith"	0.0430278
Kidd	0.0430087
O'Neal	0.0429765
"Red Auerbach"	0.0429196
"Ray Allen"	0.0427943
Phil	0.0426918
))
("Bill Shoemaker" (desc 1540.61) (sims
"Pat Day"	0.200018
"Chris McCarron"	0.179541
"Kent Desormeaux"	0.162266
"Corey Nakatani"	0.143322
"Mike Smith"	0.139101
"Gary Stevens"	0.136679
"Alex Solis"	0.134065
"Gordie Howe"	0.121403
"Jorge Chavez"	0.112938
"Jerry Bailey"	0.112884
"David Flores"	0.111158
"Hack Wilson"	0.110689
Morceli	0.110349
Pincay	0.107241
"Tony Dorsett"	0.105297
"Roy Emerson"	0.104152
shoemaker	0.101379
"Richard Petty"	0.0949095
"Chris Antley"	0.0921726
"Laffit Pincay"	0.0915808
"Duke Snider"	0.0901477
"Byron Nelson"	0.087184
"Ivan Lendl"	0.0834957
Heyns	0.0796002
"Old Trieste"	0.0792897
Samuelson	0.0768006
"Walter Payton"	0.076461
FloJo	0.0726118
"Roger Maris"	0.0725134
"Hank Aaron"	0.0707441
"Lou Gehrig"	0.0687914
Dorsett	0.0662734
"Bjorn Borg"	0.0648451
"Jim Brown"	0.0647545
"Miguel Indurain"	0.0647302
Solis	0.0644491
"Bear Bryant"	0.0635613
"Kevin Jordan"	0.0626456
"Brian Lara"	0.0608363
"Dean Smith"	0.0581498
Tanaka	0.0580983
"Ben Hogan"	0.05763
"Griffith Joyner"	0.0567622
Khannouchi	0.0567526
"Mike Lansing"	0.0562749
"Willie Mays"	0.055915
"Nolan Ryan"	0.0556493
"Skip Away"	0.0548772
"Katharine Hepburn"	0.0546862
"Martina Navratilova"	0.0546024
Isabella	0.0543469
"Al D'Amato"	0.053535
"Diego Maradona"	0.052929
"Ted Williams"	0.0526615
Lapentti	0.0524315
"Joe Frazier"	0.052009
"Ty Cobb"	0.0518953
Jager	0.0517831
Eyadema	0.0516541
"Mario Andretti"	0.0515291
Thorpe	0.0514532
"Reggie Jackson"	0.0512005
"Eric Cantona"	0.0501502
"Mike Schmidt"	0.0500044
Marichal	0.0499436
Boardman	0.0498127
Pantani	0.0495284
Schalken	0.0495128
"Sandy Koufax"	0.049111
Gehrig	0.0489418
"Donovan Bailey"	0.0487272
Fiorina	0.0484434
"Alberto Tomba"	0.048409
Kjus	0.0482763
"Tom Osborne"	0.0482691
Wilhelm	0.0479655
"Lawrence Taylor"	0.0477361
Caruso	0.0476895
"New York Yankee"	0.0476406
"Rocky Marciano"	0.0470761
"Ernie Irvan"	0.0470234
"Wayne Gretzky"	0.0469411
Navratilova	0.0468777
"El Guerrouj"	0.0468668
"D. Wayne Lukas"	0.0466993
"Florence Griffith Joyner"	0.0466744
Ferreira	0.0465255
"Kurt Abbott"	0.0464292
Olano	0.0460854
Sainz	0.0458656
"Clyde Drexler"	0.0454384
"Tito Puente"	0.0453338
Butyrskaya	0.0449801
Hornaday	0.044923
"Peter Lynch"	0.0446121
Yankees	0.0440085
Loroupe	0.0438146
"Tar Heels"	0.0437271
"Barry Sanders"	0.0436227
Biffle	0.0435297
"Bjarne Riis"	0.0434232
"interior decorator"	0.043414
"Reggie White"	0.0432182
Schrader	0.0432053
"Henry Rodriguez"	0.0431246
"Billie Jean King"	0.0430505
Sarazen	0.0429115
Longo	0.0429034
"Jack Nicklaus"	0.0428621
"Julius Erving"	0.0428555
major-leaguers	0.0428239
"Golden Hurricane"	0.0427186
Krone	0.0427036
"Byung-Hyun Kim"	0.042692
Charest	0.0426879
Ochoa	0.0425434
Coe	0.0425213
Snead	0.0424961
McCormack	0.0421087
"John Wooden"	0.0418054
"Sang Lan"	0.0417441
"Rod Carew"	0.0416257
Gustafsson	0.0416243
Poplasen	0.0414983
Sprague	0.0414596
Makinen	0.041277
"Damian Jackson"	0.0412525
Abe	0.0411866
Irvan	0.0411526
Hartwig	0.0410122
"Joe Montana"	0.0409363
"Gunda Niemann-Stirnemann"	0.0408875
Bayh	0.0407873
Schottenheimer	0.0406636
Damm	0.0406188
"Henry Aaron"	0.0405861
"John Connally"	0.0404905
"Joe Louis"	0.0403848
Hershiser	0.0401139
RedHawks	0.0400142
))
("Bill Skate" (desc 891.819) (sims
Sumaye	0.208408
Arrives	0.198348
"Frederick Sumaye"	0.181199
"Valery Pustovoitenko"	0.17531
"I.K Gujral"	0.169499
"Ivan Kostov"	0.169167
"Goran Persson"	0.168706
"Lamberto Dini"	0.162214
"Bashkim Fino"	0.161209
"Chavalit Yongchaiyudh"	0.159229
"Helen Clark"	0.157193
Deuba	0.156424
"Wlodzimierz Cimoszewicz"	0.156306
Lipponen	0.155809
Koirala	0.151708
"Vo Van Kiet"	0.149987
"Pascoal Mocumbi"	0.149308
"Tomiichi Murayama"	0.148649
"Mikulas Dzurinda"	0.148179
"Radu Vasile"	0.146132
"Wim Kok"	0.14597
"Paavo Lipponen"	0.144983
Dehaene	0.144697
"Krishna Prasad Bhattarai"	0.141103
al-Sahaf	0.140414
Vollebaek	0.140236
Kavan	0.139623
Azad	0.138073
Demaci	0.138049
"de Charette"	0.137954
"Viktor Orban"	0.137874
"Antonio Guterres"	0.137503
Guterres	0.1354
"John Major"	0.135038
"Vaclav Klaus"	0.134971
"Lokendra Bahadur Chand"	0.134523
Banharn	0.134121
Rawabdeh	0.133443
"Deve Gowda"	0.133072
"John Bruton"	0.132984
"Ung Huot"	0.132315
"Fayez Tarawneh"	0.132204
"Andreas Papandreou"	0.131379
"Jerzy Buzek"	0.131083
Jayakumar	0.130517
"Rafik Hariri"	0.12988
"Phan Van Khai"	0.129274
Malu	0.128966
"Mahmoud Zouebi"	0.128845
Kamal	0.128544
"Jenny Shipley"	0.127991
Velayati	0.127954
Bizimungu	0.127367
"Momir Bulatovic"	0.12734
"H.D Deve Gowda"	0.127299
Chavalit	0.127274
Goff	0.127213
"Pandeli Majko"	0.126691
Scalfaro	0.126651
Orban	0.125399
"Necmettin Erbakan"	0.125025
"Fatos Nano"	0.124764
Pustovoitenko	0.124739
Nemtsov	0.124632
Gujral	0.123874
"Atef Obeid"	0.123651
Rifkind	0.123538
"Abdul Salam Majali"	0.123529
"Tim Fischer"	0.123414
Vasile	0.122328
Wolfensohn	0.121976
Granic	0.121097
"Abdul Karim Kabariti"	0.120619
"Victor Chernomyrdin"	0.120377
Fernandes	0.120298
Harmoko	0.120012
Karimov	0.12
"P.V Narasimha Rao"	0.119832
Bhattarai	0.119625
"Mikhail Kasyanov"	0.119147
"Inder Kumar Gujral"	0.11909
"Lee Hsien Loong"	0.118914
Majko	0.118787
Siazon	0.11878
"Lee Kuan Yew"	0.118742
"Noboru Takeshita"	0.1185
Masire	0.118153
Komura	0.117907
Rodionov	0.117895
Guei	0.11706
Shevardnadze	0.116635
"Bertie Ahern"	0.116153
"Chuan Leekpai"	0.115984
Ahern	0.115951
"Prime Minister Banharn Silpa-Archa"	0.115584
Goh	0.115542
"Tansu Ciller"	0.115538
Boueiz	0.115508
Dodik	0.115312
Sharansky	0.1153
Meles	0.114517
Moratinos	0.114476
Juppe	0.114368
Carollo	0.113298
"Alain Juppe"	0.112519
Ruehe	0.112416
"Atal Behari Vajpayee"	0.112369
Kasoulides	0.11229
Gosper	0.112105
"Norodom Ranariddh"	0.111944
"Vladimir Meciar"	0.11041
Murayama	0.110012
"Paul Keating"	0.109812
Wiseman	0.109715
"Salim Hoss"	0.109065
"Jean Chretien"	0.1085
"Meles Zenawi"	0.108468
Sanan	0.108387
Hasina	0.107805
Kromah	0.107418
Buzek	0.107401
Shareh	0.10727
Abdel-Meguid	0.107065
Akayev	0.106979
Ogata	0.106837
Phieu	0.106644
Tarrin	0.106299
Muoi	0.106232
"Sheikh Saad"	0.106205
"Bulent Ecevit"	0.106043
Zeroual	0.105872
Thapa	0.105778
Venables	0.104904
Juncker	0.104877
"Defense William Cohen"	0.104874
"George Robertson"	0.104696
Strauss-Kahn	0.104358
"David Levy"	0.103735
Pangalos	0.103633
Chuan	0.10357
"Than Shwe"	0.10351
Camdessus	0.10332
Kato	0.10323
"Yoshiro Mori"	0.10278
Cem	0.102694
Klima	0.102661
Narayanan	0.102338
"Goh Chok Tong"	0.102293
"Begum Khaleda Zia"	0.101945
"Orlando Mercado"	0.101593
"Milorad Dodik"	0.101471
Husseini	0.101382
"Jose Maria Aznar"	0.101198
Hamid	0.101152
"William S. Cohen"	0.100881
Advani	0.10078
Klestil	0.100423
Bruton	0.100211
Axworthy	0.100172
"Sher Bahadur Deuba"	0.100152
Stoyanov	0.0997169
"Khaleda Zia"	0.0996291
Shaath	0.0995926
Sergeyev	0.0991158
Khai	0.0990906
"Romano Prodi"	0.0990742
"Amos Wako"	0.0989842
Nasrallah	0.0989813
"Gro Harlem Brundtland"	0.0989781
"Mesut Yilmaz"	0.0984246
Shipley	0.098235
Alatas	0.0981201
Chand	0.0979857
"government minister"	0.0977772
"Israeli Foreign Ministry"	0.0976989
Lari	0.0976043
Vialli	0.0975281
Ribbeck	0.0972003
Constantinescu	0.0971137
Yadav	0.0967102
Izetbegovic	0.0966432
Simitis	0.0963258
al-Sahhaf	0.0962029
Chretien	0.0957911
"Girija Prasad Koirala"	0.0953668
Barshefsky	0.0953387
Azizah	0.0951154
Glickman	0.094929
Sahnoun	0.0946673
Wilhelm	0.0946056
Berri	0.0942777
Bondevik	0.094228
Troussier	0.0941286
Indyk	0.0938977
el-Ganzouri	0.0938898
"Amnuay Virawan"	0.0938625
"Ryutaro Hashimoto"	0.0933124
"Keizo Obuchi"	0.0932616
Yastrzhembsky	0.0931696
"Kamal Kharrazi"	0.0931619
))
("Bill Spiers" (desc 3462.45) (sims
"Ricky Gutierrez"	0.37461
"Richard Hidalgo"	0.358431
"Russ Johnson"	0.358116
"Tony Eusebio"	0.356865
"Jeff Bagwell"	0.328329
"Tim Bogar"	0.313548
"Lance Berkman"	0.30868
"Craig Biggio"	0.284274
"Derek Bell"	0.282372
"Sean Berry"	0.281415
"Herbert Perry"	0.272428
"Jose Hernandez"	0.261944
"Tony Batista"	0.260522
"Ken Caminiti"	0.25646
"Eric Owens"	0.254066
"Mitch Meluskey"	0.250097
"Dave Hansen"	0.250051
"Daryle Ward"	0.248626
"Lenny Harris"	0.245715
"Geoff Jenkins"	0.245129
"Moises Alou"	0.241118
"Damian Jackson"	0.238975
"David Bell"	0.23887
"Ozzie Guillen"	0.238041
"Andy Fox"	0.237888
"Rich Becker"	0.237878
"Stan Javier"	0.235795
"Ron Coomer"	0.235747
"Mark Loretta"	0.233507
"Scott Spiezio"	0.229796
"Manny Alexander"	0.229795
"Melvin Mora"	0.229539
"Orlando Palmeiro"	0.228848
Spiers	0.228572
"Carl Everett"	0.226308
"John Vander Wal"	0.222858
"Bruce Aven"	0.222734
Bagwell	0.222018
"Mark Kotsay"	0.221137
"Luis Alicea"	0.220951
"Matt Franco"	0.219766
"Matt Lawton"	0.218717
"Jeff Conine"	0.216148
"Carlos Lee"	0.215781
"Bobby Higginson"	0.215528
"Bill Mueller"	0.215106
"Roger Cedeno"	0.214715
"Desi Relaford"	0.214638
"Jeff Cirillo"	0.213901
"Mickey Morandini"	0.210906
"John Mabry"	0.209554
"Edgardo Alfonzo"	0.209175
"Bobby Abreu"	0.209132
"Joe Randa"	0.208802
"Jay Bell"	0.207957
Rolen	0.2076
"Enrique Wilson"	0.207208
"Cristian Guzman"	0.20704
"Benny Agbayani"	0.204319
"Deivi Cruz"	0.203628
"Scott Rolen"	0.203358
"Eric Chavez"	0.201956
"Pat Meares"	0.201655
"Dmitri Young"	0.200728
"Marvin Benard"	0.198466
"Jose Valentin"	0.19805
"Corey Koskie"	0.197102
Biggio	0.196651
"Tony Womack"	0.196628
"Danny Bautista"	0.196302
"Charlie Hayes"	0.195233
"Brad Ausmus"	0.195028
"Craig Paquette"	0.193815
"Henry Rodriguez"	0.192733
"Butch Huskey"	0.191719
"Luis Lopez"	0.191415
"Craig Counsell"	0.190025
"Kevin Jordan"	0.189925
"Johnny Damon"	0.189912
"Jeff Huson"	0.189871
"Derrek Lee"	0.189643
"Dante Bichette"	0.189341
Vidro	0.189151
"Randy Velarde"	0.189121
"Todd Pratt"	0.18879
"Warren Morris"	0.187705
"Mike Lamb"	0.186789
Cirillo	0.18658
"Jeffrey Hammonds"	0.184578
"Adam Kennedy"	0.184299
"Matt Williams"	0.183949
"Travis Fryman"	0.182254
Burnitz	0.181916
"Mike Lansing"	0.18119
"Matt Stairs"	0.18051
"Joe McEwing"	0.180417
"Damian Miller"	0.179835
"Brian Hunter"	0.179777
Lankford	0.179747
"Pokey Reese"	0.179596
"F.P Santangelo"	0.179531
"John Valentin"	0.179295
"Jeff Kent"	0.17924
"Pat Burrell"	0.17703
"Bubba Trammell"	0.176786
"Dean Palmer"	0.176731
"Kevin Stocker"	0.176702
"Mark Grace"	0.176415
"Clay Bellinger"	0.176389
"Troy Glaus"	0.176124
"Preston Wilson"	0.176098
"Chris Widger"	0.175971
"Jose Vidro"	0.175873
"Ruben Rivera"	0.175743
"CARLOS HERNANDEZ"	0.175704
"Tim Salmon"	0.175526
"Dave Martinez"	0.175419
"Glenallen Hill"	0.174724
"Phil Nevin"	0.174308
"David Ortiz"	0.174232
"Mark Grudzielanek"	0.174048
"Rondell White"	0.173766
"Ray Durham"	0.172807
"Jose Vizcaino"	0.172016
"Marquis Grissom"	0.172
"Mike Bordick"	0.171997
"Jose Guillen"	0.171131
"Luis Polonia"	0.171011
"Adrian Beltre"	0.170934
"Gary Sheffield"	0.170916
"Mike Benjamin"	0.17089
"Russ Davis"	0.169526
"Tony Graffanino"	0.169412
"Luis Gonzalez"	0.16939
"Miguel Cairo"	0.169069
"Chris Gomez"	0.168312
"Rich Aurilia"	0.167351
"Cliff Floyd"	0.166171
"Luis Sojo"	0.165697
Alfonzo	0.165354
"Mike Sweeney"	0.165269
"Todd Walker"	0.164862
"Lou Merloni"	0.164821
"Alex Gonzalez"	0.164503
"Rob Ducey"	0.164474
"Darren Lewis"	0.164265
"Wilton Guerrero"	0.164105
"Matt Luke"	0.16402
"Kurt Abbott"	0.163841
"Chad Curtis"	0.163761
"Keith Lockhart"	0.163741
"Rusty Greer"	0.163646
"Jason Varitek"	0.163486
"Shawon Dunston"	0.163418
"Alex Cora"	0.163367
"Vladimir Guerrero"	0.163171
"Edgar Renteria"	0.16271
"Paul Konerko"	0.162642
"Frank Catalanotto"	0.162573
"Darren Bragg"	0.162331
"J.T Snow"	0.162308
"Scott Brosius"	0.161947
"Darin Erstad"	0.161255
"Miguel Tejada"	0.160312
"Gerald Williams"	0.160301
"Shawn Green"	0.159467
"Damon Buford"	0.159107
"Jose Offerman"	0.158957
Veras	0.1588
Klesko	0.158474
"Jeromy Burnitz"	0.158428
"David Segui"	0.158134
Fullmer	0.15811
"Doug Glanville"	0.157833
"Brant Brown"	0.157466
"Rickey Henderson"	0.157223
"David Dellucci"	0.1568
"Ben Grieve"	0.156715
Lieberthal	0.15669
"Bobby Bonilla"	0.156325
"Wilton Veras"	0.156289
"Jeremy Giambi"	0.156242
Glaus	0.156088
"Kelly Stinnett"	0.155775
"Walt Weiss"	0.155476
"Luis Castillo"	0.155444
"Eric Karros"	0.155358
"Ray Lankford"	0.155179
"Carlos Beltran"	0.154504
"Todd Zeile"	0.154174
"Shane Andrews"	0.15376
grieve	0.153237
Valentin	0.152975
"Omar Vizquel"	0.152889
"Al Martin"	0.152874
"Karim Garcia"	0.152841
"Trot Nixon"	0.152766
"Vinny Castilla"	0.152655
Higginson	0.152653
"Gabe Kapler"	0.152618
Alicea	0.152543
"Troy O'Leary"	0.152289
"Fernando Vina"	0.151606
"Ricky Ledee"	0.150816
"Jon Nunnally"	0.150709
"Carlos Guillen"	0.150674
"Mike Lowell"	0.150622
"Dan Wilson"	0.150454
"Reggie Sanders"	0.149993
"Ryan Klesko"	0.149987
"Royce Clayton"	0.148981
"Ron Gant"	0.148981
"Brian Giles"	0.147932
"Neifi Perez"	0.147311
Eusebio	0.147232
"Rico Brogna"	0.147224
"Steve Finley"	0.146455
Javier	0.146426
"Ellis Burks"	0.146421
Palmeiro	0.146389
"Jeff Frye"	0.146333
"Will Clark"	0.146221
"Bernard Gilkey"	0.146015
"Paul Bako"	0.145895
"Mark McLemore"	0.145827
Olerud	0.145657
"Bobby Smith"	0.14547
Hidalgo	0.145231
"Marty Cordova"	0.145065
"Jason Giambi"	0.145029
Merloni	0.145026
Daubach	0.144946
"Quilvio Veras"	0.144825
Erstad	0.144674
"Wally Joyner"	0.14465
"Jim Leyritz"	0.14443
"Tony Gwynn"	0.143902
"Aaron Boone"	0.143613
"Eddie Taubensee"	0.143568
"Robin Ventura"	0.143452
"Chipper Jones"	0.14332
"Richie Sexson"	0.143065
"Devon White"	0.142631
"Damion Easley"	0.142593
"Scott Elarton"	0.142485
"Kevin Young"	0.142422
"Dave Hollins"	0.142203
"Jermaine Dye"	0.142002
"Mike Stanley"	0.141766
Tejada	0.141591
"Brian Daubach"	0.141318
Offerman	0.139399
DeShields	0.138937
"Edgar Martinez"	0.138374
Giambi	0.13796
"Garret Anderson"	0.137724
"Jay Buhner"	0.137519
"Jim Thome"	0.137031
Glanville	0.136775
"Fred McGriff"	0.136405
Beltre	0.136335
"Tom Goodwin"	0.136334
"Willie Greene"	0.136277
Lawton	0.136073
Cedeno	0.135595
Agbayani	0.135536
"Jason McDonald"	0.13539
"Michael Tucker"	0.135339
"Raul Mondesi"	0.13524
Ordonez	0.134687
"Todd Hundley"	0.134317
Stinnett	0.134059
"Travis Lee"	0.133971
"Joey Cora"	0.133862
"Juan Castro"	0.133828
"Nomar Garciaparra"	0.133658
"Ed Sprague"	0.133581
Bordick	0.133472
Frye	0.133312
"Tino Martinez"	0.132834
Cabrera	0.132337
"Todd Greene"	0.132323
"Bret Boone"	0.132089
Grudzielanek	0.131511
"Matt Mieske"	0.131168
"Kevin Orie"	0.13105
"Andy Sheets"	0.130959
"Quinton McCracken"	0.13067
"Gregg Jefferies"	0.130658
Womack	0.130628
Garciaparra	0.130605
"Fernando Tatis"	0.1303
"Juan Encarnacion"	0.130102
Varitek	0.130004
Baerga	0.129725
"Delino DeShields"	0.129698
"Alex Rodriguez"	0.129422
Caminiti	0.129288
"Brady Anderson"	0.129056
"Greg Vaughn"	0.128781
"Jay Payton"	0.128586
"Kenny Lofton"	0.128573
Bautista	0.128548
"Brent Mayne"	0.127954
"Barry Bonds"	0.127917
"Tom Lampkin"	0.127879
Bichette	0.127842
Aurilia	0.127663
"Eric Young"	0.127564
"Raul Ibanez"	0.127234
Hollins	0.12722
Lofton	0.127109
Alomar	0.126755
"B.J Surhoff"	0.126626
"Jason Kendall"	0.126315
"Matt Walbeck"	0.126123
"Brian Jordan"	0.125819
"Magglio Ordonez"	0.125731
Alou	0.125281
"Mike Lieberthal"	0.125166
Catalanotto	0.125037
"John Olerud"	0.124917
"Ivan Rodriguez"	0.124913
"Manny Ramirez"	0.124831
"Einar Diaz"	0.124455
"Donnie Sadler"	0.123887
Dunston	0.123743
Brosius	0.123492
"Tony Phillips"	0.123387
"Kevin Elster"	0.123102
Karros	0.122936
"Roberto Alomar"	0.122879
"Trenidad Hubbard"	0.122729
"Mike Cameron"	0.122409
"Rey Sanchez"	0.122004
"Jorge Posada"	0.12188
Beltran	0.121686
"Benji Gil"	0.121653
"Rafael Palmeiro"	0.121627
Velarde	0.121585
"Chuck Knoblauch"	0.121214
"Darryl Hamilton"	0.120832
Sexson	0.120678
"Paul O'Neill"	0.120628
"Tony Fernandez"	0.120582
"Andres Galarraga"	0.120526
"Terrence Long"	0.120439
"Todd Hollandsworth"	0.119836
"Mike Hampton"	0.119674
"Drayton McLane Jr."	0.118969
"Carlos Delgado"	0.118873
"Brad Fullmer"	0.118802
"Jim Edmonds"	0.118757
"Rafael Furcal"	0.118569
"Andruw Jones"	0.11831
"Sandy Alomar"	0.118292
"Rey Ordonez"	0.118137
"Derek Jeter"	0.11813
"Tony Clark"	0.11806
"Gary Gaetti"	0.11805
Zeile	0.117292
Abreu	0.117287
"Chili Davis"	0.11695
"Javy Lopez"	0.116673
"Barry Larkin"	0.116411
Helton	0.116323
"Carlos Baerga"	0.1163
Kapler	0.115787
"Shannon Stewart"	0.115673
McLemore	0.115416
Renteria	0.115264
"Greg Colbrunn"	0.115155
"J.D Drew"	0.11503
Delgado	0.114937
"Jose Canseco"	0.114432
"Roberto Kelly"	0.114144
"Larry Walker"	0.113508
Buhner	0.113173
"Wade Boggs"	0.112969
Hatteberg	0.11291
Jeter	0.112847
"Gary DiSarcina"	0.112089
"Brian McRae"	0.111976
"Eric Davis"	0.11122
"Wil Cordero"	0.111088
McGriff	0.111033
Randa	0.111012
"Brook Fordyce"	0.110532
"Bengie Molina"	0.109891
"Scott Hatteberg"	0.109419
Vizcaino	0.109377
"Erubiel Durazo"	0.109292
"Mike Caruso"	0.108446
"Greg Myers"	0.108337
"Albert Belle"	0.108301
"Joe Girardi"	0.108148
Batista	0.108091
Nevin	0.108016
Castilla	0.106965
Elarton	0.106913
"John Jaha"	0.10677
"Sean Casey"	0.10651
"Reggie Jefferson"	0.106478
"Harold Baines"	0.105836
"Todd Helton"	0.105741
"Lee Stevens"	0.105421
Gutierrez	0.105209
"GERONIMO BERROA"	0.105119
"Frank Thomas"	0.104995
Surhoff	0.104682
Everett	0.104604
Fryman	0.104337
Canseco	0.104239
Ripken	0.104148
"Mike Piazza"	0.103868
Guillen	0.10362
Segui	0.102969
DiSarcina	0.102602
Knoblauch	0.102438
Boone	0.102141
"Midre Cummings"	0.101886
Ausmus	0.101778
"Carlos Febles"	0.101629
Ramirez	0.101247
"Tim Raines"	0.101245
"Eddie Perez"	0.10119
Gant	0.101167
Burks	0.101035
"Shane Spencer"	0.100921
Cordero	0.100885
"Bernie Williams"	0.100694
Brogna	0.100255
Galarraga	0.100141
))
("Bill Thomas" (desc 2148.54) (sims
"David Dreier"	0.377513
"Christopher Cox"	0.335451
"Tom Campbell"	0.285958
"Mary Bono"	0.27945
"James Rogan"	0.232203
"Lamar Smith"	0.199304
"Dan Miller"	0.196509
"John Boehner"	0.184196
"Porter Goss"	0.179763
"Jerry Lewis"	0.178203
"Henry Waxman"	0.176546
"Nancy Pelosi"	0.170078
"Don Young"	0.165884
"Christopher Shays"	0.165403
"James Sensenbrenner"	0.152078
"Tom Davis"	0.148115
"Maxine Waters"	0.148056
"George Miller"	0.147538
"Charles Canady"	0.142536
"Curt Weldon"	0.14066
"Jim Leach"	0.13992
"Martin Frost"	0.139417
"Bill Archer"	0.139246
"Bernard Sanders"	0.138257
"William Roth"	0.135197
"Lee Hamilton"	0.134975
"Frank Murkowski"	0.131481
"Benjamin Gilman"	0.12885
"Tony Coelho"	0.127466
"John Linder"	0.127166
"Jim Nicholson"	0.126465
"Zoe Lofgren"	0.124592
"Jim Kolbe"	0.122688
"Charlene Barshefsky"	0.121522
"J.C. Watts"	0.120505
"Barney Frank"	0.118873
"Loretta Sanchez"	0.118037
D-La.	0.117605
"Dan Burton"	0.116024
"Patrick Kennedy"	0.112924
"Pete Domenici"	0.111934
"Bill Frist"	0.110803
"Steve Largent"	0.109499
"Olympia Snowe"	0.108481
"John Warner"	0.108406
"Linda Smith"	0.107723
"Matt Salmon"	0.107585
"Carolyn McCarthy"	0.107002
"Ed Bryant"	0.105753
"Charles E. Schumer"	0.105671
"Jennifer Dunn"	0.105193
"George Nethercutt"	0.104869
"Christopher Smith"	0.104628
"John Conyers"	0.104292
"Martin Meehan"	0.103698
"Bob Kerrey"	0.103674
R-Alaska	0.101433
"Sherwood Boehlert"	0.100847
"Greg Ganske"	0.100146
"Peter King"	0.100058
"Henry Hyde"	0.0991074
"Sumner Redstone"	0.0986533
"Arthur Levitt"	0.0970103
"Jack Quinn"	0.0962788
"Ron Wyden"	0.0962219
"Tom Johnson"	0.0960665
"Mark Sanford"	0.0959955
"Asa Hutchinson"	0.0955977
"Bob Franks"	0.0954838
"Fred Upton"	0.0948203
"Nur Misuari"	0.094689
"Jim Bunning"	0.0942831
"Lloyd Doggett"	0.0937091
"Bob Barr"	0.0936225
"Nancy Johnson"	0.093572
"John Kasich"	0.0922878
"Marge Roukema"	0.0918333
"Majority Whip Tom DeLay"	0.0916123
"Jerry Reinsdorf"	0.0914272
"Michael Forbes"	0.0899318
"Bill McCollum"	0.0896779
"Richard Shelby"	0.0892358
"George Gekas"	0.0885524
"Gary Johnson"	0.0884597
"M. Douglas Ivester"	0.088143
"Craig Thomas"	0.0879269
"Bob Graham"	0.0879164
"John Dingell"	0.0876678
"Mark Foley"	0.0876059
"Charles Rangel"	0.0873746
"Tom DeLay"	0.0864757
"Jerrold Nadler"	0.0860017
"Jack Gargan"	0.085557
"Lindsey Graham"	0.0849254
"Orrin Hatch"	0.0848984
"Julian Bond"	0.0848772
"Steve Case"	0.0845813
"Roy Romer"	0.0841738
"Nita Lowey"	0.0839691
"Billy Tauzin"	0.0831348
"Carolyn Maloney"	0.0828797
"Jim Turner"	0.0827536
"Gerald Levin"	0.0826535
"Sheila Jackson Lee"	0.0823764
"Robert Bennett"	0.0816696
"Charles Dolan"	0.0806861
"Jack Kingston"	0.080149
"Tillie Fowler"	0.0795581
R-Calif.	0.0794324
"John Sweeney"	0.0787204
"Ron Paul"	0.0781304
Gibbons	0.0779925
"Phil Gramm"	0.0778575
"Arlen Specter"	0.0776356
Largent	0.0775961
"Henry Bonilla"	0.0774531
"Ward Connerly"	0.0772632
Bateman	0.0771583
"Sue Kelly"	0.0769398
"Sam Brownback"	0.0768727
"Connie Mack"	0.0765865
"Charles Stenholm"	0.0765006
"Ted Stevens"	0.0764453
"Fred Thompson"	0.0762379
"Marzuki Darusman"	0.0757214
R-Del.	0.075556
"Jose Serrano"	0.075143
"Bob Livingston"	0.0748953
"Spencer Abraham"	0.0745334
"Wang Daohan"	0.0743966
"Lucio Tan"	0.0742111
Ratliff	0.0739762
R-Va.	0.0737078
"Steve Chabot"	0.073596
R-Kan.	0.0735408
R-La.	0.072724
R-Wis.	0.0723272
"Connie Morella"	0.0721802
"John Shalikashvili"	0.0721446
R-Ariz.	0.0720461
"Hugh Shelton"	0.0716791
"Robert Livingston"	0.071659
"Richard Gephardt"	0.0712443
"Blanche Lincoln"	0.0710658
"Chris Smith"	0.0709031
Leavitt	0.070324
"Yegor Stroyev"	0.0698105
"Amien Rais"	0.069624
"Michel Camdessus"	0.0695969
"Charlie Norwood"	0.0692729
"Jack Welch"	0.0690983
"Gordon Smith"	0.0690797
"Barbara Boxer"	0.0690347
"Amo Houghton"	0.0688802
Snowe	0.0688087
"Larry Craig"	0.0680256
R-Utah	0.067422
"Archbishop Desmond Tutu"	0.0673636
"House Majority Whip Tom DeLay"	0.0673125
"Gennady Seleznyov"	0.0668674
"Jesse Helms"	0.0659807
"Rick White"	0.0658964
Chenoweth	0.0658325
Harmoko	0.0656787
Dougherty	0.0654767
"Mark Green"	0.0653887
"Don Nickles"	0.0651964
"Dennis Hastert"	0.065148
R-N.M.	0.0647754
"Pete Wilson"	0.0646356
"John Chafee"	0.0643345
"John Smith"	0.0642106
R-Iowa	0.0640963
"James Jeffords"	0.0640509
R-Ohio	0.0637506
"William Weld"	0.0637438
"Richard Lugar"	0.063621
"Tom Coburn"	0.0635108
"Robert Menendez"	0.063025
"John Breaux"	0.0629681
"Tommy Thompson"	0.0629207
"Dick Gephardt"	0.0628143
Hayworth	0.0624161
"Kay Bailey Hutchison"	0.0623734
"Chea Sim"	0.0623608
"Dick Armey"	0.0623226
"Mitch McConnell"	0.0623186
Breaux	0.0620583
"Sonny Bono"	0.0620336
"Jerry Colangelo"	0.0620334
D'Alessandro	0.0619046
"Patrick Leahy"	0.0618415
"Susan Molinari"	0.0618071
"Gene Sperling"	0.0611895
"Billy Payne"	0.0611262
"Michael Eisner"	0.0610927
"Charles Robb"	0.0609325
"Oskar Lafontaine"	0.0605992
"Jim McDermott"	0.0604989
"Jim Jeffords"	0.0599799
))
("Bill Walsh" (desc 3148.76) (sims
"Mike Holmgren"	0.175028
"Mike Shanahan"	0.168997
"Don Shula"	0.161047
"Tom Landry"	0.144963
"Jimmy Johnson"	0.144799
"Glen Sather"	0.134767
"Jim Harrick"	0.134296
"Dave Wannstedt"	0.126679
"John Smith"	0.126365
"Brian Cashman"	0.124402
"Bora Milutinovic"	0.123999
"Ray Rhodes"	0.122986
"Dick Vermeil"	0.120377
"Kevin Malone"	0.118991
"Brent Jones"	0.117783
"Kurt Rambis"	0.117134
"Ernie Grunfeld"	0.115204
"Lou Holtz"	0.114781
"Tim Floyd"	0.114028
"Bill Parcells"	0.113786
"Neil Smith"	0.112638
"Scotty Bowman"	0.111258
"TOM COUGHLIN"	0.111203
"George Seifert"	0.108326
"Ronnie Lott"	0.105739
"Brian Billick"	0.104674
"Charles Haley"	0.1038
"John Robinson"	0.103067
"Carmen Policy"	0.103059
"Don Zimmer"	0.102604
Walsh	0.101108
"Tony Dungy"	0.100914
"Al Groh"	0.100523
"Don Baylor"	0.099928
"Chan Gailey"	0.0972405
"Dom Capers"	0.0972239
"Dan Reeves"	0.0970856
"Dennis Erickson"	0.0965283
"Don Nelson"	0.0965253
"Bill Cowher"	0.0955929
"Mike Ditka"	0.0953499
"Lenny Wilkens"	0.0919762
"Dave Stewart"	0.0917609
"Rick Neuheisel"	0.0915256
"Bear Bryant"	0.091332
"Mike Martz"	0.0908085
Harrick	0.0905714
"Jerry Krause"	0.0905669
"Paul Westphal"	0.0904557
"Dean Smith"	0.0902405
Fiorina	0.0896898
"Barry Switzer"	0.0894071
"Joe Gibbs"	0.0887578
"Fred Claire"	0.0861534
"Mike Krzyzewski"	0.0858187
"Chris Palmer"	0.0857427
"Rich Brooks"	0.0854141
Martz	0.0854078
"Bill Belichick"	0.0844807
Milutinovic	0.0842533
"Walter Zenga"	0.0836822
"Pete Carroll"	0.083648
"Jeff Garcia"	0.0827095
"Phil Jackson"	0.0824306
"P.J Carlesimo"	0.0813404
"Norv Turner"	0.0801027
Layden	0.0795995
"Tom Osborne"	0.0790887
"Dwight Clark"	0.0780086
"John Thompson"	0.0771755
"Tex Winter"	0.0771054
"Willie Randolph"	0.0769548
"Steve Mariucci"	0.076053
"Rudy Tomjanovich"	0.075965
"John Calipari"	0.0758169
"Rick Pitino"	0.0747538
"Dick Jauron"	0.074538
"Mack Brown"	0.0744293
Holtz	0.0742599
Rahal	0.0737616
"Pat Riley"	0.0732632
"Bela Karolyi"	0.0729127
"Mike Smith"	0.0715542
"Esther Dyson"	0.0713988
Vermeil	0.071197
"Tommy Bowden"	0.0708467
"Tommy Lasorda"	0.0705873
Belichick	0.0705702
"Bryant Young"	0.0704401
"Vince Lombardi"	0.069867
Holmgren	0.0697865
"Dan Duquette"	0.0693122
Spurrier	0.0691651
Donnan	0.0691378
Fassel	0.0690237
"Doc Rivers"	0.0688707
Wendt	0.0686147
"Dave Campo"	0.0683522
Parcells	0.0682833
Wagoner	0.0681128
"Jeff Van Gundy"	0.0677734
"Marcus Allen"	0.0674925
Haskins	0.0666116
Troussier	0.0662183
"Paul Silas"	0.0659818
Landry	0.0659766
"Isiah Thomas"	0.0658429
"Chuck Daly"	0.0656492
"Mike Dunleavy"	0.0656441
Schottenheimer	0.0655974
"Garrison Hearst"	0.0652573
"Pat Burns"	0.0651121
Neilson	0.0648883
"Ruud Gullit"	0.0648277
"Del Harris"	0.0646748
Coughlin	0.0646038
"Sandy Alderson"	0.0645769
"Roy Williams"	0.0644899
Waddell	0.0641946
Nanula	0.0633562
"Mitt Romney"	0.063335
"Jim Leyland"	0.0629671
Kerik	0.0624057
Sampson	0.0623698
"Dennis Green"	0.0619045
"Ernie Zampese"	0.0615579
Cremins	0.0613674
"Johnny Unitas"	0.0609562
"Steve Young"	0.0609069
"Bobby Smith"	0.0606909
Bowden	0.0606469
Barnett	0.0605242
"Glenn Hoddle"	0.0603771
Gossage	0.0602556
"Tom Davis"	0.0601653
"Terrell Owens"	0.0601433
hodgson	0.05946
Iger	0.0594344
"Dave Cowens"	0.0593657
Coelho	0.0592906
"Harry Sinden"	0.0590462
"Colin Campbell"	0.0588835
Bogle	0.0586927
Daft	0.0583751
"Clyde Drexler"	0.0583153
Zenga	0.0581312
"Michel Camdessus"	0.0580443
"Bob Knight"	0.0579676
"Jim Calhoun"	0.0577221
"George Karl"	0.0576494
Shanahan	0.057287
Duisenberg	0.0572083
Arens	0.0571853
Marineau	0.0570495
Moratinos	0.0568182
Masire	0.0561792
Milbury	0.0557575
Andreessen	0.0556846
"Larry Brown"	0.0553292
"Steve Spurrier"	0.0544564
Karolyi	0.0540492
Passarella	0.0538797
Skiles	0.0537671
"Kevin Keegan"	0.0533794
"Dennis Johnson"	0.0533147
Zimmer	0.0531597
Cortines	0.0530411
Kilborn	0.0530274
"Davey Johnson"	0.0530045
"Charlie Garner"	0.0526271
"Tom Lasorda"	0.0526256
Ponciano	0.0524535
ISSEL	0.0518556
"Jerry Sloan"	0.0518181
Wannstedt	0.0517484
Jauron	0.0517137
O'Sullivan	0.0510543
"Butch Carter"	0.0508773
"Joe Torre"	0.0506893
Lasorda	0.0506594
"Larry Bird"	0.0501482
Holl	0.050133
"B.J Habibie"	0.0497165
Ballmer	0.0495435
Muckler	0.0495051
Shattuck	0.0494894
Barad	0.0494013
Robson	0.0493848
"Jerry Jones"	0.0493769
"Ken Hitchcock"	0.049143
"M. Douglas Ivester"	0.0490922
Costas	0.0488504
"Bobby Bowden"	0.0488205
"Peter Lynch"	0.048795
"Dan Morales"	0.0487895
"John Elway"	0.0487769
"Jim Brown"	0.0486998
"Marv Albert"	0.0485639
Gailey	0.0485075
"J.J Stokes"	0.0481513
))
("Bill Walton" (desc 2315.19) (sims
"Oscar Robertson"	0.150335
"Wilt Chamberlain"	0.13265
"Willis Reed"	0.132128
"Julius Erving"	0.126646
"Kareem Abdul-Jabbar"	0.122324
"Bob Cousy"	0.115829
"Paul Silas"	0.101603
"Jerry West"	0.0981503
"Hakeem Olajuwon"	0.0954438
"Magic Johnson"	0.0938756
"Dennis Johnson"	0.0915812
"Elgin Baylor"	0.0915398
"Bill Russell"	0.0870046
"Isiah Thomas"	0.0851188
"Larry Bird"	0.0847719
"Lee Nailon"	0.0828817
"Kevin McHale"	0.0823808
"William Kristol"	0.0817048
"Dave Cowens"	0.0792388
"Mario Lemieux"	0.0761517
"George Will"	0.0754994
"Yao Ming"	0.0747432
"Bobby Orr"	0.0745489
"Patrick J. Buchanan"	0.0744512
"Jayson Williams"	0.0732409
"Shaquille O'Neal"	0.0729036
"Joe Dumars"	0.0721238
"David Robinson"	0.0710539
"Aaron Gavey"	0.0704622
"John Havlicek"	0.0702459
"Franz Beckenbauer"	0.0694573
"Clyde Drexler"	0.0684381
"Lisa Leslie"	0.0670817
"James Worthy"	0.0665397
"Charles Barkley"	0.0659367
"Guy Carbonneau"	0.0658579
"Dan Schnur"	0.0654137
"Ronnie Lott"	0.0653381
"aerospace engineer"	0.0651757
"Jeremy Roenick"	0.0650618
"Hidetoshi Nakata"	0.0641809
"Chris Anstey"	0.0635498
"Bobby Charlton"	0.0634261
"Wang Zhizhi"	0.0631753
"Cliff Ronning"	0.0630212
"Michel Platini"	0.0629939
"Grant Hill"	0.0624993
"Dominique Wilkins"	0.0623147
"Vlade Divac"	0.0617318
"John Stockton"	0.0610804
"Jim Harrick"	0.0602602
"Johnny Miller"	0.0595516
"Eric Cantona"	0.0592723
"Brian Skrudland"	0.0591614
"Kevin Willis"	0.0588473
"John Thompson"	0.0584808
"Ken Johnson"	0.0584709
"Scott Thornton"	0.0581413
"Ray Ferraro"	0.0580114
"Stan Collymore"	0.057346
"Tony Hrkac"	0.0571209
"Jim Brown"	0.0570856
"Kenny Thomas"	0.0566704
"Patrick Buchanan"	0.0566622
"Herb Williams"	0.0564385
"Craig Ludwig"	0.0562514
"Rebecca Lobo"	0.0561604
"John Reed"	0.0558649
"Pete Rose"	0.0556583
"Jonathan Bender"	0.0555826
Chamberlain	0.0554596
"Patrick Ewing"	0.0551184
"Shawn Kemp"	0.0550616
"Reggie Lewis"	0.0548509
"Fred Claire"	0.0548115
"Dennis Rodman"	0.0547966
"Alonzo Mourning"	0.0547481
"Dejan Stankovic"	0.0546264
"Olden Polynice"	0.0545513
"Ian Laperriere"	0.0543248
"Buck Williams"	0.0538552
Profiler	0.053827
"Phil Simms"	0.0537333
"Greg Ostertag"	0.0535653
"Derek Plante"	0.0535254
"Chris Mihm"	0.053399
"altar boy"	0.0530441
"Rik Smits"	0.0529072
"Joe Sakic"	0.0527648
Romario	0.052745
"James Gandolfini"	0.0527156
"Mateen Cleaves"	0.0526583
"Matt Geiger"	0.0526402
"Damien Woody"	0.0525589
"Mike Sullivan"	0.0525134
"Joe Kleine"	0.0524762
"Hristo Stoichkov"	0.0523746
"Arvydas Sabonis"	0.0521664
"Steve Yzerman"	0.0520204
"Horace Grant"	0.052007
"Wayne Gretzky"	0.0519052
"Boomer Esiason"	0.0519024
"Dale Hunter"	0.0518801
"Joe Namath"	0.0517098
Sweeting	0.0516389
"Richard Virenque"	0.0513077
"Predrag Mijatovic"	0.0512221
"Tim Taylor"	0.0509082
"Pierre Turgeon"	0.0507951
"Terry Bradshaw"	0.0506781
"Jerry Buss"	0.0505814
"Will Perdue"	0.0501892
"Alexei Yashin"	0.0501591
"Lenny Wilkens"	0.0501547
"Billie Jean King"	0.0501366
"Jason Arnott"	0.0499998
"Mark Messier"	0.0499018
"Black Panther"	0.049673
"Chris Webber"	0.0495378
"grad student"	0.0494109
"Bruce Matthews"	0.0493989
"Manny Malhotra"	0.0493974
"Walter Payton"	0.0492871
Whittingham	0.0492542
"Eric Lindros"	0.0490959
"Diego Maradona"	0.0488991
Zico	0.0486078
"Bob Feller"	0.0484157
"Boutros Boutros Ghali"	0.0483052
"Steve Garvey"	0.0482056
"Petr Nedved"	0.048123
Bhattarai	0.0480682
"Mats Sundin"	0.0479843
"Joe Montana"	0.0479258
"Jimmy Vasser"	0.0474706
"Tony Dorsett"	0.0472521
"Scottie Pippen"	0.0472485
"Bob Costas"	0.0471582
"Roger Staubach"	0.0471148
"Doug Weight"	0.0469465
"Kelvin Cato"	0.0467693
"George Stephanopoulos"	0.0467387
"Jackie Chan"	0.0466622
"John Salley"	0.0465534
"Tom Lehman"	0.0464236
"Jim Kelly"	0.0463798
"Oliver Miller"	0.0463583
"Paul Westphal"	0.0463492
"Mike Jones"	0.0463396
"Shawn Bradley"	0.0463008
"Kenyon Martin"	0.046207
Constantinescu	0.0461287
"Dikembe Mutombo"	0.0461045
"Michael Olowokandi"	0.0459688
"Ron Francis"	0.0459581
"Arianna Huffington"	0.045917
"Lawrence Taylor"	0.0458587
"police captain"	0.0456335
"Ruud Gullit"	0.0455673
"police lieutenant"	0.0455107
"Reggie White"	0.0454306
Lemieux	0.0452514
"Brian Scalabrine"	0.0451048
"John Vanbiesbrouck"	0.0450896
"Karl Malone"	0.0448951
"Luc Longley"	0.0448777
"Bill Buckner"	0.0448757
"Chow Yun-Fat"	0.0448425
"Rod Thorn"	0.0447935
"Michael Peca"	0.0446024
Levesque	0.0445119
"Martina Navratilova"	0.0442793
"Rush Limbaugh"	0.0442567
"Bobby Holik"	0.0442144
"Jon Drummond"	0.0442041
"Doak Walker"	0.0441969
"Joe Thornton"	0.0441388
"Scot Pollard"	0.044063
"Reggie Miller"	0.0440479
"Derrick Thomas"	0.0439919
"Etan Thomas"	0.0439514
"John Anderson"	0.0439476
"Dave Wohlabaugh"	0.0439456
Chastain	0.0436599
"Mark Tuinei"	0.0436178
"air force officer"	0.0435839
"Keri Russell"	0.0435313
Ince	0.043404
"Derrick Coleman"	0.0433221
Pele	0.0433013
"Hu Weidong"	0.043198
team.	0.0430498
"Matt Harpring"	0.0427805
"Allen Iverson"	0.0426479
"Dickey Simpkins"	0.0425886
"Elden Campbell"	0.0425035
"Mark Langston"	0.0424492
"exotic dancer"	0.0424257
"Manny Fernandez"	0.0423527
"Jennifer Gillom"	0.0423455
))
("Bill Wennington" (desc 1950.09) (sims
"Randy Brown"	0.282765
"Joe Kleine"	0.274971
"Ron Harper"	0.220063
"Steve Kerr"	0.210649
"Dickey Simpkins"	0.209916
"Luc Longley"	0.168204
"B.J Armstrong"	0.166954
"Toni Kukoc"	0.155602
"SCOTT BURRELL"	0.150381
"Will Perdue"	0.149744
"Oliver Miller"	0.143372
"John Salley"	0.132697
"Chris Anstey"	0.123626
"Eric Murdock"	0.10686
"Brad Miller"	0.105345
"Dave Wohlabaugh"	0.104293
"Jim McIlvaine"	0.102833
"Mark Bryant"	0.100014
"CORIE BLOUNT"	0.0957129
"Sam Perkins"	0.0946648
"Brent Barry"	0.0931737
Kerr	0.0925073
"Jermaine O'Neal"	0.0924111
"Scottie Pippen"	0.092397
"Zydrunas Ilgauskas"	0.0912403
"Otis Thorpe"	0.0912237
"Scot Pollard"	0.0903166
"Mario Elie"	0.0900032
"Dennis Rodman"	0.0895391
"Jerome Kersey"	0.0888508
"Dennis Scott"	0.0886797
"Cliff Ronning"	0.088578
"Sherman Douglas"	0.0879528
"Derek Harper"	0.0875068
"Tony Hutson"	0.0872741
"Olden Polynice"	0.0872008
"Kendall Gill"	0.086413
"Travis Knight"	0.0863056
"Herb Williams"	0.0855435
"Sean Rooks"	0.0849817
"Clifford Robinson"	0.081668
"Bill Haselman"	0.0812842
"Ken Johnson"	0.0793508
"Cliff Robinson"	0.0791306
"Doug Pederson"	0.0784068
"Grant Long"	0.0769191
"Brian Williams"	0.0765702
"Rik Smits"	0.0763254
"Bobby Holik"	0.0763175
"Terry Porter"	0.0761261
"Vlade Divac"	0.0756382
"Dale Hunter"	0.0749214
"Antoine Carr"	0.0745024
"Malik Rose"	0.0737656
"Ray Ferraro"	0.073321
"Todd MacCulloch"	0.0731125
"Michael Smith"	0.0723084
"Doug Gilmour"	0.0722141
"Mike Sullivan"	0.0718538
"Brian Shaw"	0.0710744
"Mark Stepnoski"	0.0708913
"Scott Zolak"	0.0701592
"Dan Majerle"	0.0691907
"Tom Gugliotta"	0.0689666
"Bruce Matthews"	0.0688049
"Chris Taylor"	0.0685567
"Derek Fisher"	0.0682738
"Theo Ratliff"	0.0682229
"Matt Geiger"	0.0671331
"A.C. Green"	0.0669542
"Rony Seikaly"	0.0669183
"Chris Dudley"	0.0669124
"Corliss Williamson"	0.0667015
"Vitaly Potapenko"	0.0651189
"Steve DeBerg"	0.0649627
"Glen Rice"	0.0648161
"Greg Foster"	0.0642321
"Jessie Tuggle"	0.0630507
"Chad Kreuter"	0.0627162
"Jeff Hornacek"	0.0614414
Longley	0.0614409
"Elden Campbell"	0.0612819
"Ron Francis"	0.0612155
"Greg Anthony"	0.0608055
"Tex Winter"	0.0604108
"Guy Carbonneau"	0.0602019
"Gary Trent"	0.059903
"Ike Austin"	0.05972
"Hersey Hawkins"	0.0594024
"Jamie Feick"	0.0593435
"Damien Woody"	0.0586556
"Vincent Damphousse"	0.0585564
"Horace Grant"	0.0581056
"Rich Gannon"	0.0579188
"Chris Mullin"	0.0577153
"Charles Barkley"	0.0572608
"Manny Malhotra"	0.0571142
"Bob Corkum"	0.0567407
"Bubby Brister"	0.0566265
"Dave Brown"	0.056461
"David Robinson"	0.0560527
"Trace Armstrong"	0.0554711
"Chris Mihm"	0.0554494
"Tim Taylor"	0.0552713
"Danny Manning"	0.0545881
"Dikembe Mutombo"	0.0544757
"Tony Massenburg"	0.053776
"Jackie Harris"	0.0535257
"Ernie Mills"	0.0535251
"Greg Ostertag"	0.0533691
"Charlie Garner"	0.0532428
"Paul Justin"	0.0531604
Kukoc	0.0526305
"Wang Zhizhi"	0.052295
"Kevin Willis"	0.0521174
"Doug Weight"	0.0516946
"Robert Horry"	0.0515363
"Jelani McCoy"	0.0512906
"Ben Wallace"	0.0512725
"Etan Thomas"	0.0511286
"Arvydas Sabonis"	0.0510799
"Keith Van Horn"	0.051043
"Rex Chapman"	0.0510366
"Jim Druckenmiller"	0.0508903
"Ty Detmer"	0.0508164
"Shawn Marion"	0.0506944
"Joe Thornton"	0.0506338
"John Vanbiesbrouck"	0.0505256
"Kerry Collins"	0.050295
"Rick Fox"	0.050284
"Darrick Martin"	0.0502665
"Jia Qinglin"	0.0501913
"Jeff Ogden"	0.049999
"Curtis Brown"	0.0499737
"Hakeem Olajuwon"	0.0497909
"Tony Graziani"	0.0497355
"Brian Skrudland"	0.0495901
"Rob Tallas"	0.0495554
"Kelvin Cato"	0.0493996
"Jeff George"	0.049326
"Tony Hrkac"	0.0492945
"Rashard Lewis"	0.0492027
"Robert Reichel"	0.0490678
"Jaren Jackson"	0.0490324
"Ruben Patterson"	0.0487938
"Patrik Stefan"	0.0484906
"Antonio Davis"	0.0484873
"Travis Green"	0.048169
"Kevin Mathis"	0.047694
"George Teague"	0.0476605
"Salim Malik"	0.0475882
"Keith Primeau"	0.0474298
Tanui	0.0469932
"Bruce Bowen"	0.0468091
"Joe Juneau"	0.0466914
"Brian Skinner"	0.0465852
"Randall Cunningham"	0.0464591
QBs	0.0464527
"Brent Price"	0.0464317
"Chris Gatling"	0.0463826
"Brad Ausmus"	0.0463618
"Jason Allison"	0.0463145
Mukora	0.0462882
"Robert Pack"	0.0461682
"JOHN FRIESZ"	0.0461062
"Jake Voskuhl"	0.0461049
"Mike Jones"	0.0460969
"Kevin Johnson"	0.0457913
"Manny Fernandez"	0.0457417
"Erik Kramer"	0.0455887
"Yancey Thigpen"	0.0455121
"Aaron Gavey"	0.0454651
"Trent Green"	0.0454346
Gugliotta	0.0454302
"Dave Thomas"	0.045296
"Clarence Weatherspoon"	0.0451821
"Faisal Husseini"	0.0451306
"Steve Atwater"	0.0450243
"Charlie Williams"	0.0449908
"Drew Bennett"	0.0444959
"Tariq Abdul-Wahad"	0.0444477
"Igor Larionov"	0.0444371
"Voshon Lenard"	0.0443348
"Vernon Maxwell"	0.0441842
"Jim Corsi"	0.0440017
"Lee Nailon"	0.0438519
"Wei Jianxing"	0.0436388
Zeng	0.0432107
"Dan Gadzuric"	0.0430706
"Mike Vernon"	0.0429961
"Lorenzen Wright"	0.0426882
Jayakumar	0.0426595
"Wang Tao"	0.0426325
"Lisa Leslie"	0.0424133
"Othella Harrington"	0.0423974
"Kent Graham"	0.0422714
"Kevan Gosper"	0.0422003
"Hanan Ashrawi"	0.0421852
Peca	0.0417655
"Dominique Wilkins"	0.0417461
))
(billboard (desc 42364.5) (sims
poster	0.164511
advertisement	0.122079
banner	0.121515
AD	0.109781
sign	0.109493
placard	0.103231
sticker	0.100497
"newspaper ad"	0.0985428
logo	0.0944456
commercial	0.0931337
storefront	0.0888453
flier	0.0886975
Advertising	0.0865824
leaflet	0.0853157
"video screen"	0.084849
statue	0.0814928
brochure	0.08073
T-shirt	0.080649
screen	0.080014
postcard	0.0797663
plaque	0.0796026
flag	0.0790516
"newspaper advertisement"	0.0781876
mural	0.0773499
site	0.077282
Tower	0.0760286
television	0.0758407
"TV commercial"	0.0757563
slogan	0.0750493
barricade	0.0747617
mailings	0.0744978
wall	0.0741426
signboard	0.0740645
TV	0.0725935
monument	0.0724601
scoreboard	0.0721438
"bulletin board"	0.0718618
photograph	0.0716839
graffiti	0.0714937
page	0.0713341
sculpture	0.0711145
"radio station"	0.0707185
scaffolding	0.069997
building	0.0692544
kiosk	0.0690132
display	0.068941
store	0.0687939
lantern	0.0685382
trailer	0.068455
button	0.0683209
"computer screen"	0.0681871
outlet	0.0673132
marker	0.0671068
crosse	0.0670938
"advertising campaign"	0.0669419
"street sign"	0.0666179
booth	0.0665263
skyscraper	0.0662802
streamer	0.0657793
pamphlet	0.0653614
marquee	0.0651475
radio	0.065018
bunting	0.0647909
tent	0.0645741
picture	0.0645594
tree	0.0641122
"yellow pages"	0.0640248
balloon	0.0638898
"ad campaign"	0.0637402
box	0.0632568
label	0.0632297
video	0.0630858
print	0.0624522
magazine	0.062348
"television station"	0.0623168
lamppost	0.0622108
"television program"	0.0621158
car	0.0618545
memorial	0.0615494
cartoon	0.0613677
"business card"	0.0612736
image	0.0612003
camera	0.0610404
blackboard	0.0610228
shop	0.0606317
restaurant	0.0603134
"vending machine"	0.0602655
artwork	0.060243
hotel	0.0596171
newspaper	0.0595829
bus	0.0594966
websites	0.059184
fence	0.0589627
"greeting card"	0.0588572
"office building"	0.0587031
broadcast	0.0586136
decal	0.0585092
"television show"	0.0584796
stamp	0.0583471
"promotional material"	0.0582501
portrait	0.0582119
cafe	0.0580673
truck	0.0579451
photo	0.0578117
"TV show"	0.0575855
catalog	0.0575776
machine	0.0572908
vehicle	0.0571227
"TV station"	0.0571007
publication	0.0565997
facade	0.0562798
painting	0.0561948
roadblock	0.0559199
menu	0.0554219
loudspeaker	0.0551601
map	0.054778
window	0.0547647
graphics	0.054751
tile	0.0546334
easel	0.0545717
"talk show"	0.0543512
airwaves	0.0542456
station	0.0539325
sponsorship	0.0535497
cutout	0.0535129
sidewalk	0.0530846
Casino	0.0528766
bridge	0.052636
awning	0.0526327
studio	0.0525567
exhibit	0.0525454
channel	0.0525045
uniform	0.0524535
"TV program"	0.052365
carton	0.0523615
mall	0.0522536
theater	0.0521054
"cable television"	0.0521036
arch	0.0520546
barrier	0.0519401
chair	0.0516517
"shopping mall"	0.0515856
"school bus"	0.0515836
fountain	0.0515336
museum	0.0512861
gallery	0.0512762
bottle	0.051228
swastika	0.0511311
Website	0.0510303
calendar	0.0509749
icon	0.0509444
stationery	0.0509167
"mobile home"	0.0507753
object	0.0507434
terminal	0.0506122
Dome	0.0505981
flower	0.0505064
stalls	0.0505039
"floppy disk"	0.0503905
taxi	0.0503603
newsstand	0.0503414
atm	0.0502575
CD	0.0501078
infomercial	0.0500343
"gas station"	0.0500265
Warehouse	0.0499642
chart	0.04989
"television set"	0.0498682
headstone	0.0498635
card	0.0498128
"marketing campaign"	0.0498121
ribbon	0.0497983
packaging	0.0496733
canvas	0.049645
Mail	0.0495328
edifice	0.0495184
high-rise	0.0494487
CD-ROM	0.0494203
web	0.04937
bookstore	0.0493307
roof	0.0493043
mailer	0.0492761
listing	0.0492408
tape	0.0491607
"Confederate flag"	0.0491365
cinema	0.0490862
"department store"	0.0490822
copy	0.0490585
Promotion	0.0490324
toy	0.0488552
attraction	0.048848
vendor	0.0488039
street	0.0487187
"tag line"	0.0487082
"theme park"	0.048627
space	0.0486085
structure	0.0484903
parking	0.0484715
mailbox	0.0483905
"news show"	0.0482965
))
(billet (desc 1535.17) (sims
"pig iron"	0.272941
ingot	0.173301
"iron ore"	0.121536
newsprint	0.107128
"steel plate"	0.102857
fertilizer	0.101703
"food grain"	0.0989919
"building material"	0.0984788
tubing	0.0982103
"crude oil"	0.0927974
urea	0.0903095
ore	0.0888579
LNG	0.08756
alloy	0.0862906
ethylene	0.0861077
"caustic soda"	0.0860508
phosphate	0.0835268
"soybean oil"	0.0826426
petrochemical	0.0823839
"cane sugar"	0.0821422
"polyvinyl chloride"	0.0753708
sheeting	0.0735443
"sulfuric acid"	0.0730515
"one million tons"	0.0707952
Nickel	0.0701563
resin	0.0700245
"frozen foods"	0.069764
Zinc	0.069035
"dairy product"	0.0688161
"lubricating oil"	0.0683606
aluminium	0.0677362
sugarcane	0.0674763
"liquefied natural gas"	0.0673876
foodstuff	0.0669548
PVC	0.0665243
"freshwater fish"	0.066511
"plate glass"	0.0663674
"cashew nut"	0.0650589
jute	0.0648641
dioxide	0.064371
"liquefied petroleum gas"	0.0642026
"vegetable oil"	0.0633684
"palm oil"	0.063125
titanium	0.0625299
"alcoholic beverage"	0.062497
"fish meal"	0.0617531
"food product"	0.0610407
louver	0.0609366
"coconut oil"	0.0600635
"rare earth"	0.059776
stanchion	0.0595568
"sea food"	0.059419
paddy	0.0591468
methanol	0.0590138
pulp	0.0586478
"stainless steel"	0.0584103
smelters	0.0574453
"animal product"	0.0567467
CPO	0.056191
"diesel oil"	0.0561585
"synthetic fiber"	0.0553412
SEZ	0.0551273
"milk powder"	0.0550797
"soda can"	0.0544891
"fish fillet"	0.0543299
sarcophagus	0.0542033
"fresh fish"	0.0539211
pellet	0.0518821
downslide	0.0512466
ICS	0.0512399
"household appliance"	0.0511216
Krupp	0.0511182
polyethylene	0.0510637
"consumer goods"	0.0509851
wastewater	0.0499348
fiberglass	0.0499259
"canned food"	0.0497467
"fuel oil"	0.0497245
"sugar cane"	0.0496961
"Andrew Carnegie"	0.04952
"three million tons"	0.0492007
non-oil	0.0482544
"about @@,@@@ tons"	0.0481229
"cooking oil"	0.0479276
"precious stone"	0.0475849
Gypsum	0.047157
"memory chip"	0.0469927
ammonia	0.0467407
"coffee bean"	0.0462534
palladium	0.0458218
"six million tons"	0.045817
lint	0.0454946
Tyre	0.0448545
"guitar player"	0.044365
eel	0.044194
polypropylene	0.0439454
"wheat flour"	0.0439276
"machine tool"	0.0432267
barley	0.0431225
"over @@@ million US dollars"	0.0429348
oxide	0.0423252
mandolin	0.0421969
Firewood	0.0420929
"four million tons"	0.041878
"tin can"	0.0414902
"water jug"	0.0413257
"five million tons"	0.0410331
Lafleur	0.0407431
"citrus fruit"	0.0406156
hydrocarbon	0.0405858
"electronic equipment"	0.0405367
"mosquito net"	0.0403801
graphite	0.040236
bitumen	0.0400486
))
(billiards (desc 2744.99) (sims
taekwondo	0.225529
snooker	0.21134
"table tennis"	0.209387
archery	0.192534
Wushu	0.172323
badminton	0.170458
takraw	0.165744
squash	0.164592
judo	0.161974
weightlifting	0.156189
rowing	0.144236
volleyball	0.138465
Gymnastics	0.134063
"water polo"	0.123974
pentathlon	0.116105
Yachting	0.115021
"field hockey"	0.112013
karate	0.109872
chess	0.106295
swimming	0.104891
handball	0.104491
softball	0.103281
boxing	0.10258
wrestling	0.102353
Bingo	0.102327
ping-pong	0.101969
"track and field"	0.0992497
cycling	0.0985222
pinball	0.0970126
Bowling	0.0954735
lacrosse	0.0943007
fencing	0.0940068
Rugby	0.090137
athletics	0.0850198
croquet	0.0783868
"ice hockey"	0.0742077
poker	0.0719504
"roller skating"	0.0711546
"Hamlet Cup"	0.0673392
karaoke	0.0671657
"Swiss Open"	0.0663098
Scrabble	0.0655934
roulette	0.065529
cricket	0.0654178
luge	0.0645155
diving	0.063793
"National Invitation Tournament"	0.0637725
domino	0.0634947
blackjack	0.0634537
"mountain climbing"	0.0628087
equestrian	0.0619986
"martial art"	0.0617476
"Midwest Regional"	0.0600747
"stroke play"	0.0599951
epee	0.0591832
triathlon	0.058964
aquatics	0.0583824
"Stockholm Open"	0.0583582
"miniature golf"	0.0578721
Pong	0.0573654
"Hopman Cup"	0.0553027
"Kung Fu"	0.0523071
"Asian Cup"	0.0520361
horseshoe	0.0519687
Baccarat	0.0518132
"College World Series"	0.051504
"Acura Classic"	0.0514492
"horse racing"	0.0514231
dressage	0.0513372
"figure skating"	0.0509778
"professional basketball"	0.0506905
Polo	0.0504039
videogame	0.0497344
"ballroom dancing"	0.0495089
"Louis Vuitton Cup"	0.0494328
"match play"	0.0491814
surfing	0.0490861
"German Open"	0.0489317
"Crystal Palace"	0.0488161
"musical chair"	0.0486055
"Canadian Open"	0.048413
"professional football"	0.0480534
"Memorial Tournament"	0.0480525
"ATP Championship"	0.0477619
"Little League World Series"	0.0474998
"Newcastle United"	0.0464767
"Japan Open"	0.0460721
"Phenix City"	0.0452967
"American football"	0.0450318
"Pan Pacific"	0.0449379
parachuting	0.0447294
"professional baseball"	0.0443081
"Hong Kong Open"	0.0442349
under-@@	0.0438284
"West Regional"	0.0435866
Frisbee	0.0434368
"United States Open"	0.0433803
hardcourt	0.043367
"Arena League"	0.043282
"Home Run Derby"	0.043206
"Paris Open"	0.0431713
"professional golf"	0.0431477
snorkeling	0.0431146
"Coventry City"	0.0428394
harmonica	0.0426242
tuba	0.0424802
"Fed Cup"	0.0421132
"Maurier Open"	0.0417662
"South Regional"	0.0416979
aerobics	0.0416713
"Libertadores Cup"	0.0414752
EuroLeague	0.0413861
"French horn"	0.0413308
"Grand Slam Cup"	0.0411887
"Nottingham Forest"	0.0408983
"Leicester City"	0.040567
scull	0.040557
"Southwest Conference"	0.040223
"World Team Cup"	0.0400804
))
(Billick (desc 2332.08) (sims
"Brian Billick"	0.218448
Jauron	0.186196
Groh	0.177206
Wannstedt	0.165981
"Rich Brooks"	0.155704
Martz	0.153978
Skiles	0.151107
Gailey	0.145322
Monson	0.144655
Fassel	0.143708
"Dave Campo"	0.143336
Dungy	0.138789
"Chris Palmer"	0.129178
Shanahan	0.127888
Tuberville	0.127506
Belichick	0.126919
Talebi	0.126913
Ponciano	0.125898
Romar	0.1258
Holmgren	0.125798
Zambrano	0.121406
Hartsburg	0.1212
Gullikson	0.119597
"Dom Capers"	0.119359
"Dick Jauron"	0.118898
Azizah	0.118016
Donahue	0.11644
Campo	0.116178
Milutinovic	0.114368
Donnan	0.114043
"Chan Gailey"	0.113846
Finkel	0.113557
Westphal	0.112613
Shula	0.112268
"Bill Belichick"	0.110815
Rubenstein	0.108572
Neuheisel	0.106922
Schmid	0.106905
Braswell	0.10648
GRUDEN	0.105752
Modell	0.104933
Kearin	0.104875
Tomey	0.104815
Sampson	0.104486
Weis	0.103974
Rambis	0.103318
Naumann	0.103102
"Dave McGinnis"	0.10305
Hybl	0.102476
Harrick	0.102405
Popovich	0.102109
"Mike Martz"	0.101974
Heinrichs	0.101891
Okada	0.101697
McGinnis	0.101665
Milbury	0.101349
Wolfson	0.100893
Silas	0.100369
Beazley	0.100188
Maldini	0.0977039
Cowan	0.097292
Seifert	0.0971622
"Bela Karolyi"	0.0969345
Muckler	0.0963499
Franchione	0.0960762
Wenger	0.0959112
Whitsitt	0.0945996
Tobin	0.0938674
Stoneman	0.0936346
Troussier	0.093546
DiCicco	0.0935197
Laudrup	0.0934747
Atwater	0.0929413
Henning	0.0927973
Pollack	0.0923445
Zenga	0.0921719
"Tim Floyd"	0.0919989
Shurmur	0.0912308
"Mike Holmgren"	0.0909062
Fulmer	0.0908235
Brister	0.0905353
Gaston	0.0902335
Bubb	0.0902255
Meissner	0.0899906
Layden	0.0899272
Rothenberg	0.0892211
D'Alessandro	0.0890442
Zadornov	0.0888944
ROMNEY	0.0882156
hodgson	0.0879423
Calipari	0.0878596
Rahal	0.0870249
Copeland	0.0867464
Donato	0.0864326
Ruehe	0.0864201
Vermeil	0.0863847
Casserly	0.0854792
Karolyi	0.0852297
Paxon	0.0849753
Reiner	0.0846591
Bergeron	0.0842877
Rendell	0.0840269
Wilkens	0.0838469
Coen	0.0837991
Marineau	0.0837745
Durant	0.0837363
Hiddink	0.0833739
Slocum	0.0833719
Kaye	0.0833052
Jamison	0.0828385
Passarella	0.0826342
"Jim Harrick"	0.0823694
Butterworth	0.0823608
Vogts	0.0823463
Insulza	0.0822917
Hickman	0.0821389
O'Connell	0.0821163
Davie	0.0819078
Lasorda	0.0818558
Waddell	0.0817415
Reinsdorf	0.0816485
fuller	0.0813736
Beilin	0.0813428
Woodard	0.0811668
Leach	0.0809873
Holtz	0.080872
Venables	0.0808699
Rutherford	0.0807965
Spurrier	0.0799133
Sherman	0.0797971
Zampese	0.0797882
Camacho	0.079736
Gillick	0.0794798
Riley	0.0793308
Bowden	0.079293
McGuire	0.0792901
Jacquet	0.0791522
Drexler	0.0790117
Moonves	0.0789518
Sheedy	0.0789366
"Don Nelson"	0.0788379
Farris	0.0787439
Leyland	0.0787116
"Don Baylor"	0.0786037
Harmoko	0.0785778
Siegel	0.0785573
Polian	0.0784843
Penders	0.0784754
Aurelio	0.0783397
Paterno	0.0782627
Singson	0.0782457
"Al Groh"	0.0782293
Godfrey	0.0781693
Rhodes	0.077987
Grossman	0.0779725
"Bora Milutinovic"	0.0777883
Kupchak	0.0777351
Ainge	0.0777204
Solis	0.077597
Pfeiffer	0.0775129
Schottenheimer	0.0774571
Tarawneh	0.0773971
Gauthier	0.0773344
Rosenthal	0.0772837
Atwood	0.0771412
Nickerson	0.076862
"De la Cruz"	0.0767535
Summitt	0.0766
Krzyzewski	0.0764897
Checketts	0.0762187
Tubbs	0.0758007
McKeon	0.075764
Pruett	0.0755579
Narayanan	0.0755536
Devine	0.0754772
Jarvis	0.0754186
Knox	0.0753066
Barad	0.0752944
Blatter	0.0752429
Morgenthau	0.0751693
Siazon	0.075113
Guthridge	0.075018
"Ernie Zampese"	0.0748927
Mariucci	0.0748761
Keenan	0.074511
Weisman	0.0743173
Hardy	0.0741973
Indyk	0.0740608
Carroll	0.0739502
Dunleavy	0.0739096
Walsh	0.0739082
Rooney	0.0739033
beamer	0.0737439
Lafleur	0.0737057
Moog	0.0735387
Zimmer	0.0734894
O'Leary	0.0732318
Hoddle	0.0728567
Heinze	0.0728493
Alford	0.0726436
))
(Billie (desc 1185.55) (sims
JoAnne	0.112462
"Rosh Hashana"	0.108777
"Azizah Ismail"	0.103117
Irina	0.0965906
Betsy	0.0965904
"Chinese New Year"	0.096517
"Lunar New Year"	0.0947471
Nat	0.0909231
"Kirk Franklin"	0.0859665
Suzanne	0.0846357
Cherie	0.0835074
Rhonda	0.0830452
Phyllis	0.0820767
Tracey	0.0820224
Zane	0.0814861
Theresa	0.0799905
"Carmen Electra"	0.0795953
Eileen	0.0789437
Lynne	0.0753494
"Chinese Lunar New Year"	0.0748717
Brooke	0.0747946
Judy	0.0747035
Laurie	0.0745589
Eid	0.0739749
Terri	0.0736032
Hadassah	0.0735651
"Marc Anthony"	0.0723064
Maureen	0.072042
Doris	0.0710726
Lois	0.0707566
"Faith Hill"	0.070624
Peggy	0.0705012
Connie	0.0701813
Marianne	0.0701689
"George Michael"	0.0694513
Kristin	0.0687184
Lori	0.0679752
"Wang Yeping"	0.0676038
Arlene	0.0670254
Frances	0.0667424
Cindy	0.0665478
Melanie	0.0662732
"Andrea Bocelli"	0.06624
Sheryl	0.066059
"Justin Rose"	0.0660432
Simone	0.0659671
Juanita	0.0656979
Yakima	0.0656263
Monique	0.065577
alicia	0.0654343
Marta	0.0647777
Sylvia	0.0647334
"Christina Aguilera"	0.0644884
"LeAnn Rimes"	0.0643864
"Dwight Yoakam"	0.0642236
"July @th"	0.064093
"Jessye Norman"	0.0640742
"Reba McEntire"	0.0639381
"Jo Dee Messina"	0.0631393
Patricia	0.0627895
Teresa	0.0626957
"Carly Simon"	0.0624814
Debra	0.062014
Gail	0.0619202
Khmer	0.0615892
Winnie	0.061517
Cathy	0.0614711
Wendy	0.0613545
Millie	0.0610046
Renee	0.0609843
Christine	0.0609398
Olga	0.060911
"Audra McDonald"	0.0608686
Valerie	0.0608548
STACEY	0.0607631
Beverly	0.060712
Rodney	0.059825
Sandra	0.0597094
Camille	0.0594786
patsy	0.0594637
Patti	0.0594185
Andrea	0.0593599
Jamie	0.0593131
Lydia	0.0592034
Kathy	0.0587769
Donna	0.0587109
"Graca Machel"	0.0587063
Anita	0.0582467
Darlene	0.0579003
"Alan Jackson"	0.0578606
"Tom Jones"	0.0578113
"Annette Bening"	0.0575242
"Lyle Lovett"	0.0574741
Vicki	0.0574687
Rita	0.0571409
Stephanie	0.0570493
Michele	0.0570372
"Luciano Pavarotti"	0.0569725
Barbara	0.056952
Polly	0.0568706
Lucia	0.0568188
"Leigh Ann"	0.0565754
Dolores	0.0565716
Pam	0.0563236
Len	0.0562611
Cheryl	0.0560123
Evelyn	0.0555769
Kathleen	0.0555205
Beth	0.0553242
Claudia	0.0553154
Jeanne	0.0552501
Pauline	0.054915
Marlene	0.0548847
"Michael Bolton"	0.054872
Esther	0.0546524
Javanese	0.05458
Tammy	0.0542887
Elaine	0.0542771
Regina	0.0541688
"Wyclef Jean"	0.0540655
Melinda	0.0540602
Yarmila	0.0540188
Debbie	0.0537986
"Rob Thomas"	0.0536963
Sonia	0.0536821
Jennifer	0.0535742
"Whitney Houston"	0.0534113
Carol	0.0533718
Heidi	0.0532788
"Clint Black"	0.0532387
"Trisha Yearwood"	0.0530982
"May Day"	0.0528555
Norma	0.0527247
Liz	0.0526753
"GLORIA ESTEFAN"	0.0526738
Tipper	0.0526681
Deborah	0.0525711
"Diana Krall"	0.0524763
Jacqueline	0.0523673
gloria	0.0522529
Shirley	0.0520233
Sara	0.0515637
colleen	0.0515508
Toni	0.0515223
"Ruben Blades"	0.0514962
Louise	0.0514253
"George Jones"	0.0514243
"Don Henley"	0.0514126
Vera	0.0513919
Roberta	0.051351
Lucille	0.0513274
Catherine	0.0511629
"Bobby Brown"	0.0511256
Gores	0.0507568
Selena	0.0507361
hazel	0.0506565
Brenda	0.0505872
Rachel	0.0505713
Bjork	0.0505453
"Loretta Lynn"	0.0505411
Edith	0.0503967
"Celine Dion"	0.0503503
"Tony Bennett"	0.0502122
ANN	0.0499792
Marge	0.0499583
"Shania Twain"	0.049813
Dana	0.0497467
Lyn	0.0497256
becky	0.0496572
Philip	0.049635
Whittingham	0.0496235
"Marvin Gaye"	0.0495477
"Carolyn Bessette Kennedy"	0.0494781
"Janet Jackson"	0.0494672
Marian	0.049127
Audrey	0.0491204
Nada	0.049101
Abbie	0.0490244
Michelle	0.0488983
Paulie	0.0487652
Janice	0.0487289
"David Byrne"	0.048719
Marilyn	0.0487091
"Waylon Jennings"	0.0486777
raver	0.0486583
Marguerite	0.0485752
Alma	0.0484399
Jill	0.0482314
Diane	0.0481543
"Sheryl Crow"	0.0481385
Annette	0.0480893
"Chrissie Hynde"	0.0480884
"Ricky Martin"	0.0480751
Garry	0.0479521
"Penelope Cruz"	0.0478661
Nora	0.0478166
Carolyn	0.0476504
Stacy	0.0475524
Thelma	0.0473989
"George Strait"	0.0473179
))
("Billie Holiday" (desc 3133.89) (sims
"Count Basie"	0.282265
"Louis Armstrong"	0.280778
"Ella Fitzgerald"	0.23741
"Miles Davis"	0.219631
"Dizzy Gillespie"	0.202011
"Charlie Parker"	0.191088
"Duke Ellington"	0.187237
"Tony Bennett"	0.161336
"Bing Crosby"	0.159991
"Frank Sinatra"	0.1591
"Sammy Davis Jr."	0.158475
"Paul Robeson"	0.143129
"Benny Goodman"	0.12543
"Nat King Cole"	0.121609
"Ray Charles"	0.117202
"Gene Kelly"	0.116414
"Judy Garland"	0.107221
"Bob Dylan"	0.106711
"John Coltrane"	0.104238
"Elvis Presley"	0.101775
"Jimi Hendrix"	0.100998
"Dean Martin"	0.0972202
"Johnny Cash"	0.0932069
"Chuck Berry"	0.0930639
Presley	0.0920178
"Aretha Franklin"	0.0900669
"Rolling Stones"	0.0880925
Beatles	0.0856387
"B.B King"	0.0853606
"Janis Joplin"	0.08519
Sinatra	0.0842084
"Paul Simon"	0.0830266
"James Brown"	0.0829106
"Cole Porter"	0.0793646
"Van Morrison"	0.0753799
Liberace	0.0733397
Joplin	0.0721037
"Hank Williams"	0.0720495
Bocelli	0.0710855
"Marvin Gaye"	0.0697362
"W.C. Fields"	0.0696858
Elvis	0.0688556
Supremes	0.0685819
"Barbra Streisand"	0.0683428
"Andy Williams"	0.065604
"Pink Floyd"	0.0646152
"Eric Clapton"	0.0633575
"Elvis Costello"	0.0633341
Boulez	0.0621899
"Neil Young"	0.0618145
"Elton John"	0.060255
"Diana Ross"	0.0601018
"Celine Dion"	0.0594345
"Joni Mitchell"	0.0591129
Caruso	0.0584863
"Tom Jones"	0.0584362
Heppner	0.0582745
"Deutsche Grammophon"	0.0581523
"Randy Newman"	0.058143
Dion	0.0580561
"Robert Johnson"	0.0576461
Cher	0.0575469
"Bruce Springsteen"	0.0571497
Calla	0.0565684
"Josephine Baker"	0.0565595
Guthrie	0.0564991
Vivaldi	0.0563127
"Charlie Chaplin"	0.0561441
"Wynton Marsalis"	0.0558892
"Fred Astaire"	0.0556542
Stravinsky	0.0548723
"Diana Krall"	0.0546766
"Phil Collins"	0.0546207
"Stevie Wonder"	0.0545752
"Woody Guthrie"	0.054528
"John Wayne"	0.0544128
"Mae West"	0.0543953
Ellington	0.0535034
"Marilyn Monroe"	0.0529881
"Renee Fleming"	0.0528555
"Marlene Dietrich"	0.0526156
"Berlin Philharmonic"	0.0521406
karaoke	0.052115
"Ulysses S. Grant"	0.0520539
"Bob Hope"	0.0520176
Spector	0.0516128
"Marlon Brando"	0.0515596
"Bill Cosby"	0.0515404
"Marx Brothers"	0.051181
"Little Richard"	0.0511788
"Tito Puente"	0.0510933
"Gene Autry"	0.0508952
Springsteen	0.0507782
"Joan Baez"	0.0504755
Speer	0.0504692
Krall	0.0503097
"Sidney Poitier"	0.0498711
"John Lennon"	0.0495377
"Elizabeth Taylor"	0.0494986
Domingo	0.0494926
ASO	0.0494709
"Muddy Waters"	0.0492095
"Liza Minnelli"	0.0491481
"Jimmy Buffett"	0.0491002
"Billy Joel"	0.0490804
"Calvin Coolidge"	0.0490099
uptempo	0.048844
Pavarotti	0.0487572
"Sex Pistols"	0.0487116
"Roy Rogers"	0.0483778
"Irving Berlin"	0.0481606
Clapton	0.0480527
"Milton Berle"	0.0479477
"George Harrison"	0.0478022
Dylan	0.0472355
Selena	0.0469384
"David Bowie"	0.0466173
"Sheryl Crow"	0.0461677
Rachmaninoff	0.045998
"Sonny Bono"	0.0458893
"Audra McDonald"	0.0458463
Puente	0.0457971
Tristan	0.0456988
"Steely Dan"	0.0454437
"Bob Marley"	0.0452858
Midler	0.0451886
"Quincy Jones"	0.0447218
Mahler	0.0446389
"Lei Feng"	0.044508
"Pete Seeger"	0.0444573
Gershwin	0.0444571
Autry	0.044318
Kat	0.0441672
"Lucille Ball"	0.0440541
Bellini	0.0437159
Lennon	0.0437083
"Beach Boys"	0.0436677
"Natalie Cole"	0.043649
Ra	0.0436384
Eminem	0.0433231
"George Gershwin"	0.0429747
Pappas	0.0429048
cappella	0.0427569
"Michael J. Fox"	0.0426862
"Jim Henson"	0.0426629
"humpback whale"	0.0424416
"Will Rogers"	0.0421935
"Spice Girls"	0.0419658
troubadour	0.0418161
capella	0.041467
Shatner	0.0412903
Motown	0.041243
Lullaby	0.0409185
"Tina Turner"	0.0408943
Crosby	0.0407369
"Buster Keaton"	0.0406621
rumba	0.0406533
Gaelic	0.0405105
Elgar	0.0404563
"Herbie Hancock"	0.0403899
"Tammy Wynette"	0.0403898
))
("Billie Jean King" (desc 2736.62) (sims
"Martina Navratilova"	0.202949
"John McEnroe"	0.168013
"Chris Evert"	0.167343
"Ivan Lendl"	0.163417
"Arthur Ashe"	0.162085
"Rod Laver"	0.143468
"Johan Cruyff"	0.137503
"Bjorn Borg"	0.133348
"Jimmy Connors"	0.130979
"Byron Nelson"	0.112098
"Steffi Graf"	0.108288
Swardt	0.108053
"Jim Brown"	0.107148
"Jack Nicklaus"	0.107148
"Alberto Tomba"	0.106007
"Michael Stich"	0.104748
"Franz Beckenbauer"	0.0994255
"Kimiko Date"	0.0965342
"Buster Douglas"	0.0931104
"Jackie Joyner-Kersee"	0.0921346
"Miguel Indurain"	0.0910052
"Kostya Tszyu"	0.0896496
Navratilova	0.0858917
"Pete Sampras"	0.0858714
"Boris Becker"	0.0847078
"Christine Arron"	0.0846276
"Oliver McCall"	0.0841751
"Lothar Matthaeus"	0.0830608
"Walter Payton"	0.0829278
"Ben Hogan"	0.0818438
"Julio Cesar Chavez"	0.07821
"Deon Hemmings"	0.0778522
Sanchez-Vicario	0.077419
"Alexandra Stevenson"	0.0763166
"Monica Seles"	0.0760319
"Mario Lemieux"	0.0758479
"Jonathan Stark"	0.0751938
"Ruud Gullit"	0.0751768
"Al Unser Jr."	0.0747205
"Roger Federer"	0.0744185
"Mats Wilander"	0.0738563
"Richard Petty"	0.0730765
"Clyde Drexler"	0.0727592
"Pat Rafter"	0.0727106
"Yayuk Basuki"	0.0726924
"George Foreman"	0.0724498
"Marc Rosset"	0.0723709
"Wayne Gretzky"	0.0717591
Musashimaru	0.0716788
"Tony Dorsett"	0.0713892
"Jennifer Capriati"	0.0713809
"Wang Junxia"	0.0712178
"Roy Jones Jr."	0.0711491
"Paul Westphal"	0.0705093
"Joe Paterno"	0.0703193
"Linford Christie"	0.070011
"Dennis Johnson"	0.0699502
"Fan Zhiyi"	0.0698718
"Denis Pankratov"	0.0693477
"Bear Bryant"	0.0692775
"Alexander Popov"	0.0689051
"Andre Agassi"	0.0688654
"Ken Hitchcock"	0.0686027
"Carl Lewis"	0.0685892
"Sergei Bubka"	0.0684275
"Bobby Charlton"	0.0683938
"Tamarine Tanasugarn"	0.0683732
"Arantxa Sanchez-Vicario"	0.0683546
"Paulie Ayala"	0.0683467
"Joe Frazier"	0.0681677
"Juergen Klinsmann"	0.0681271
"Scotty Bowman"	0.0678275
"Larry Bird"	0.0675908
"Mary Joe Fernandez"	0.0673222
Pele	0.0673165
"Fernando Vargas"	0.0672524
"Javier Sotomayor"	0.0670862
"Eddie Cheever"	0.0669234
"Julius Francis"	0.0668798
"Anatoly Karpov"	0.0668429
"Rudy Tomjanovich"	0.0668054
"Jim Harrick"	0.0667083
"Gary Player"	0.0666592
"Petr Korda"	0.0664442
"Riddick Bowe"	0.0662297
"Jelena Dokic"	0.0660579
"Iwan Thomas"	0.0659232
"Walter Zenga"	0.0656571
"Arnold Palmer"	0.0655331
"Irina Slutskaya"	0.0654141
"Muhammad Ali"	0.0652254
"Mark James"	0.0650211
"Marcelo Filippini"	0.0648218
"Wasim Akram"	0.0644272
"Johnny Miller"	0.0642661
"Felix Savon"	0.0639709
"Steve Mariucci"	0.0639342
"Isiah Thomas"	0.0639267
Bunning	0.0639236
"Jerry Sloan"	0.0638798
"Larry Holmes"	0.0636368
"Ty Cobb"	0.0635992
"A.J Foyt"	0.0635929
"Joe Louis"	0.0635564
"Frank Bruno"	0.0634792
"Dennis Green"	0.0633118
"Diego Maradona"	0.0633033
"John Wooden"	0.0631982
"Reggie Lewis"	0.0630555
"Sun Wen"	0.0630242
"Seibu Lions"	0.0629187
"Dominique Wilkins"	0.0628767
"Julius Erving"	0.0627883
"Rocky Marciano"	0.0627283
"Mats Sundin"	0.0624311
Biffle	0.0622183
"Arantxa Sanchez Vicario"	0.0617048
"Paul Tergat"	0.0615775
"Stacy Dragila"	0.0615101
Evert	0.0614993
"Bela Karolyi"	0.0612279
"Serena Williams"	0.0612194
"Sam Snead"	0.0610988
"Wilt Chamberlain"	0.0608586
"Ivan Pedroso"	0.0607818
"Roy Emerson"	0.060751
"Zvonimir Boban"	0.060725
"Lenny Wilkens"	0.0605247
"American Pete Sampras"	0.060334
Serena	0.060322
"Dean Smith"	0.0601814
Slocum	0.0600341
Ciampi	0.0598623
"Sergi Bruguera"	0.0596594
"Tammy Wynette"	0.0596099
Laver	0.0595463
"Ben Crenshaw"	0.0594043
"Willie Mays"	0.0592574
Bruguera	0.0588696
Zico	0.0588324
"Gordie Howe"	0.0588032
"Johnny Tapia"	0.0586748
Kasparov	0.0586014
Tapia	0.0585979
"Mario Andretti"	0.0585473
"Dennis Erickson"	0.0580731
"Li Xuemei"	0.0578818
Waldner	0.0578334
"Jansher Khan"	0.0577309
Takanohana	0.0576443
"Doc Rivers"	0.0576292
"Magic Johnson"	0.0575503
"Hale Irwin"	0.057307
"Don Zimmer"	0.0569805
"Joe Gibbs"	0.0569253
"Irina Privalova"	0.0569042
"MaliVai Washington"	0.0567623
"Barry Switzer"	0.0567574
"Jana Novotna"	0.0567432
"Lindsay Davenport"	0.0566656
"Chicago Fire"	0.0565562
Takanonami	0.0564405
"Jim Courier"	0.0563784
"Arnaud Di Pasquale"	0.0563515
Samuelson	0.0563229
"David Reid"	0.0561285
"Bora Milutinovic"	0.0560882
"Tom Kite"	0.0559787
"Magdalena Maleeva"	0.0559612
"Samantha Riley"	0.0557277
"Tim Floyd"	0.0555864
"Andres Gomez"	0.0555063
"Chuck Daly"	0.0554386
"Peter Rasmussen"	0.0554177
"Terry Bradshaw"	0.0552112
"Eric Cantona"	0.0551545
"Susi Susanti"	0.0550892
"Gene Sarazen"	0.0550485
"Stefan Edberg"	0.0547075
"Thomas Dooley"	0.0543423
"Marie-Jose Perec"	0.0540036
"Lou Holtz"	0.0539999
"Nick Faldo"	0.053991
"Justin Gimelstob"	0.0538893
"Mike Dunleavy"	0.0537956
"Rick Neuheisel"	0.0537826
"Michael Moorer"	0.0537062
"Lin Li"	0.0536171
"Hank Aaron"	0.0535705
Dunga	0.0535332
"Sanchez Vicario"	0.053521
"Bobby Rahal"	0.0534704
"Michael Johnson"	0.053302
"Ted Kennedy"	0.0532572
"Heryanto Arbi"	0.0531829
"O.J Simpson"	0.0530927
"Kieren Perkins"	0.052972
"Michael Weiss"	0.0529697
"Glenn Hoddle"	0.0527402
"Bo Jackson"	0.0527241
))
(billing (desc 22460.2) (sims
payment	0.0994216
capitalization	0.0942951
bookkeeping	0.092869
revenue	0.0896753
accounting	0.0867473
"market value"	0.0863987
payroll	0.0855675
reimbursement	0.0837483
fee	0.0812348
"medicare payment"	0.0809869
booking	0.080951
saving	0.0776489
"operating cost"	0.0767796
receipt	0.0765044
transaction	0.0764214
financing	0.0760457
"net income"	0.0755043
compensation	0.0739882
asset	0.0728934
refund	0.0719545
valuation	0.0710738
expense	0.0701372
"pretax profit"	0.0699094
budget	0.0689906
expenditure	0.0686373
savings	0.0681019
"data entry"	0.0678221
funding	0.0672783
"cash payment"	0.0671475
"operating budget"	0.0667614
liability	0.0660989
"customer service"	0.0657924
tax	0.0657894
spending	0.0656453
salary	0.0655855
warehousing	0.0649912
pricing	0.0647075
repayment	0.0645692
Advertising	0.0645597
outlay	0.0644416
Gross	0.0643976
"gross income"	0.0639698
rebate	0.0637797
debt	0.0636463
distribution	0.0635858
marketing	0.0633489
profit	0.0630459
"pretax loss"	0.0630113
invoice	0.0624784
"legal fee"	0.0617999
"pretax charge"	0.0615663
"tax collection"	0.0614301
bonus	0.0612726
"information service"	0.0610113
procurement	0.0607254
maintenance	0.0606236
"annual payment"	0.0601424
earnings	0.0599389
"spending cut"	0.0597349
inventory	0.0593189
income	0.0592778
payout	0.0591971
"price tag"	0.0589134
deposit	0.0589022
insurance	0.0584501
"interest payment"	0.0583845
endowment	0.0581423
disbursement	0.0580275
subsidy	0.0576136
appropriation	0.0575297
scheduling	0.0575092
banking	0.0574419
loan	0.0574394
paperwork	0.0569526
"capital investments"	0.0567406
telemarketing	0.0565905
authentication	0.0565574
overpayment	0.056339
subscription	0.0561038
premium	0.0556627
"cost overrun"	0.0556119
"credit card"	0.0555192
"debt payment"	0.0549196
delivery	0.0548518
"medical care"	0.0548174
"net profit"	0.0546182
pension	0.0546133
"capital expenditure"	0.0545967
"tax revenue"	0.0545076
allocation	0.0538942
"insurance claim"	0.0537724
kickback	0.0536545
proceeds	0.0534311
"income tax"	0.0533471
software	0.0532461
registration	0.0529285
contribution	0.0527812
donation	0.0527272
wage	0.0527147
sum	0.0522316
enrollment	0.0516328
dividend	0.0513923
forwarding	0.0513478
restitution	0.0513269
surplus	0.051209
mortgage	0.0511341
"venture capital"	0.0510414
networking	0.0508414
escrow	0.0507798
documentation	0.0507151
"market share"	0.0507125
royalty	0.050686
record-keeping	0.0504646
referral	0.0504155
"tax liability"	0.0503854
"quality control"	0.0502967
"product development"	0.0502038
"property tax"	0.0501991
exposure	0.0500416
leasing	0.0499086
warranty	0.0498807
incentive	0.0498774
"prize money"	0.0497473
communication	0.0492557
"information system"	0.0490627
taxation	0.049007
application	0.0489458
"tax return"	0.0486915
reporting	0.048681
"traffic control"	0.0486252
"electronic mail"	0.0484239
servicing	0.0480674
lending	0.0480169
"computer network"	0.0480069
"retail sale"	0.0477076
"bond trading"	0.0477029
disclosure	0.0476997
equity	0.0476733
processing	0.0475953
"budget deficit"	0.0475946
"data processing"	0.0473986
employment	0.0473678
"financial aid"	0.0471628
"tax credit"	0.0470935
purse	0.0470718
"tax break"	0.0470112
automation	0.0469275
arrears	0.0468212
planning	0.0467542
borrowing	0.0467249
Promotion	0.0467095
"purchase price"	0.0466919
telecommunication	0.0465561
trading	0.0465354
sponsorship	0.0465242
directory	0.0464985
remittance	0.0464767
manufacturing	0.0462576
"food stamp"	0.0460809
"operating expenses"	0.0459886
allowance	0.0459547
attendance	0.0459509
placement	0.0459205
hardware	0.0459192
payoff	0.0459044
"distribution system"	0.0458776
"back office"	0.0457713
commerce	0.0457449
"production cost"	0.045695
shipping	0.0456813
"information technology"	0.0456505
database	0.0455722
barter	0.0455414
"book value"	0.0455038
shipment	0.0454912
taxpayer	0.0454839
retailing	0.0454774
portfolio	0.0454659
listing	0.0454653
printing	0.0454233
hype	0.0452781
fraud	0.0451253
"list price"	0.0450582
"equity investment"	0.0450006
deficit	0.0449714
appraisal	0.0449512
sanitation	0.0448032
"Social Security benefit"	0.0447522
offering	0.0447354
identification	0.0447248
filing	0.0445045
logistics	0.0444194
"trust fund"	0.0443489
shareholding	0.0443113
password	0.0441101
filtering	0.0439474
programming	0.043908
installment	0.0438439
"health care"	0.0437903
rating	0.0436418
))
(billion (desc 53512.6) (sims
million	0.249054
trillion	0.181374
"about $@ billion"	0.173455
"about $@@@ million"	0.16983
"nearly $@ billion"	0.16884
"about $@@ billion"	0.168489
"about $@@ million"	0.160707
"about $@.@ billion"	0.158263
"nearly $@@@ million"	0.154078
"about $@ million"	0.144214
"billion dollars"	0.135542
"more than @@ million yuan"	0.135029
"nearly $@@ billion"	0.133527
dollar	0.13128
"nearly $@@ million"	0.130285
"about $@@@ billion"	0.128283
"more than @@@ million yuan"	0.125695
"one billion yuan"	0.125331
"about $@@@,@@@"	0.124605
"nearly $@ million"	0.121842
money	0.121333
"about @@@ million dollars"	0.120265
"about $@@,@@@"	0.120118
"nearly $@.@ billion"	0.116735
"over @@@ million yuan"	0.115872
"billion yuan"	0.114629
"three billion yuan"	0.114463
"nearly @@@ million yuan"	0.11404
"million dollars"	0.112312
"two billion yuan"	0.111991
"more than @@ billion yuan"	0.111651
"over $@ billion"	0.111067
"about $@.@ million"	0.110072
hundred	0.106087
"more than @@@ million dollars"	0.105151
amount	0.103918
"more than @.@ billion yuan"	0.103362
"more than @@@ billion yuan"	0.103346
"amount of money"	0.103024
"more than @@ billion dollars"	0.101982
"one billion dollars"	0.101869
"nearly @@ billion yuan"	0.101839
"million yuan"	0.101445
"five billion yuan"	0.100939
"almost $@ billion"	0.100703
"about $@@@"	0.100508
"about $@@.@ billion"	0.100163
"nearly $@@@,@@@"	0.0998866
"about @.@ billion dollars"	0.0997486
ten	0.0992644
thousand	0.0989498
fund	0.0985569
"over @@ billion yuan"	0.0983495
"about @@@ million yuan"	0.0978523
sum	0.0978205
"about $@,@@@"	0.0973792
"more than @@@,@@@ yuan"	0.0971079
"over @@ million yuan"	0.0967672
"more than @@@ million US dollars"	0.09654
cash	0.0962777
"U.S. Dollars"	0.096194
"nearly $@@@ billion"	0.0959257
"about $@.@@ billion"	0.0958494
"almost $@@@ million"	0.0947774
"about $@@.@ million"	0.0946325
"almost $@@ million"	0.0943362
"sum of money"	0.0939866
"hundred thousand dollars"	0.0912522
"over $@@@ million"	0.0911195
dlrs	0.0908561
billions	0.090302
"nearly $@.@ million"	0.0900704
"about @@ million dollars"	0.088183
"almost $@ million"	0.0875198
"more than @ billion dollars"	0.0863874
saving	0.0862998
"hundred million dollars"	0.085841
crore	0.0851965
"thousand dollars"	0.0844235
"one billion US dollars"	0.084106
"about @@@ million US dollars"	0.0837788
"six billion yuan"	0.0836899
"four billion yuan"	0.0836057
worth	0.0833669
"one million yuan"	0.0830281
"two million yuan"	0.0826919
"more than @@ million US dollars"	0.0821873
surplus	0.0818959
U.S.dollars	0.0816804
"about $@"	0.0810151
revenue	0.0807038
"five million yuan"	0.0791563
"more than @@ million dollars"	0.0785756
euros	0.0768456
loan	0.0762083
"nearly $@@,@@@"	0.0753157
penny	0.0744885
"about @@ percent"	0.0744813
ruble	0.0740536
profit	0.0728832
"about @ percent"	0.0725726
"over $@ million"	0.0722961
resource	0.0722807
investment	0.07166
"about $@@"	0.0716144
total	0.0715192
debt	0.0714069
"RM@@@,@@@"	0.0709317
asset	0.0705722
Mln	0.0697694
"almost $@@@,@@@"	0.0693724
ringgit	0.0685958
ton	0.0682666
proceeds	0.0678281
payment	0.067803
"about @@ billion dollars"	0.0675496
funding	0.0674687
pataca	0.067285
birr	0.0672108
one-third	0.0669706
wealth	0.0667878
monies	0.0656747
subsidy	0.0647548
"a few dollars"	0.0637359
income	0.0635864
"one billion"	0.0634405
Bln	0.0629545
"over $@@ million"	0.0629451
"financial aid"	0.0627622
value	0.0621708
aid	0.0620238
portion	0.0619593
cost	0.0619072
"tax revenue"	0.0617558
"about @@@ million"	0.0616203
"over $@@@,@@@"	0.0616069
"about @.@ percent"	0.0615686
tax	0.060692
half	0.060575
shekel	0.060486
"One Million"	0.0598889
barrel	0.0597819
Fortune	0.0593842
reduction	0.0592264
depreciation	0.0589301
"more than @@@ million"	0.0588038
"Zimbabwe Dollars"	0.0586443
spending	0.0583105
earnings	0.0582998
currency	0.0581855
Pound	0.0581721
wage	0.0581154
donation	0.057849
ECU	0.0577926
credit	0.0574993
"foreign exchange"	0.0574303
windfall	0.0573008
benefit	0.0572517
"eight percent"	0.0572379
ECUs	0.057036
devaluation	0.0569639
shortfall	0.0568642
dividend	0.0568285
financing	0.0567704
fraction	0.0567505
borrowing	0.0567415
fee	0.0566879
"how much"	0.0559695
"five percent"	0.0555627
tonne	0.0554481
allocation	0.0553672
dime	0.0553631
budget	0.0551195
hryvna	0.0543444
contribution	0.0542912
"more than @@ million"	0.0542808
pension	0.0542615
"one percent"	0.0541934
liquidity	0.0541768
expenditure	0.0541156
data	0.0540395
goods	0.053883
"six percent"	0.0536817
energy	0.0535759
"about @@ million"	0.0535066
bpd	0.0534869
premium	0.0531033
equivalent	0.0530493
supply	0.0530216
two-thirds	0.053008
"about @@@,@@@"	0.052941
deficit	0.0526808
growth	0.0526518
assistance	0.0525747
deposit	0.0524605
royalty	0.0524122
chunk	0.0522042
excess	0.052033
bonus	0.0517079
kg	0.0515057
))
("billion dollar" (desc 1520.4) (sims
multibillion	0.310483
multimillion	0.170812
"million Dollar"	0.157205
Multistate	0.15199
multiyear	0.133891
oil-for-food	0.113068
inter-Arab	0.10865
Turkmen	0.102697
ODA	0.101493
"Agenda @@@@"	0.101081
"deficit reduction"	0.0945251
profit-sharing	0.0895752
U.S.-Russian	0.0876494
six-point	0.0871915
seven-point	0.0860526
"face saving"	0.0851669
ten-year	0.084745
"Sea Launch"	0.0839106
"savings and loan"	0.0804587
Mega	0.0791628
"Five Year"	0.0769746
leasing	0.0763832
five-point	0.0749336
LNG	0.0715152
Xiaolangdi	0.0712821
OPIC	0.0708453
"navy yard"	0.0707781
Bln	0.0705476
barter	0.0703621
reinvestment	0.0699643
Sino-Japanese	0.0698863
Exxon-Mobil	0.069427
severance	0.0692977
Comsat	0.0677653
ethylene	0.0664287
eleventh-hour	0.0664051
Sino-U.S.	0.0663956
"garbage disposal"	0.0657995
Palestinian-Israeli	0.0655985
"Joint Strike Fighter"	0.0653556
export-oriented	0.0650221
"land development"	0.0650112
longterm	0.0647179
U.S.-China	0.0645394
inter-Korean	0.0645227
"consumer product"	0.0630135
hydro	0.0625229
shipbuilding	0.0621642
five-year	0.0619926
Snipes	0.0616486
medium-term	0.0616103
escrow	0.060837
pan-European	0.0602269
three-year	0.0601204
"coal gas"	0.0599149
"golden parachute"	0.0590206
Sino-Russian	0.0580941
after-hours	0.057701
pretax	0.0576847
Israeli-Palestinian	0.0576537
"House GOP"	0.0573159
interconnection	0.0568662
"wind power"	0.0567546
U.S.-Japan	0.0567347
nuts-and-bolts	0.0556174
hydropower	0.0553441
"two billion"	0.0552646
business-to-business	0.0551382
"soil conservation"	0.0550608
collaborative	0.0548743
U.S.-British	0.0545462
nine-point	0.0544107
sub-regional	0.0543006
privatisation	0.0541719
mitigation	0.0539717
agribusiness	0.0539217
Dassault	0.053737
"crowd control"	0.053685
Franco-German	0.0533077
merchandising	0.053224
"Delta @"	0.0530421
VC	0.0528131
"U.S. government"	0.0527183
aero	0.0527013
"nearly $@@@ billion"	0.0525704
seven-week	0.0522739
long-running	0.0522033
vending	0.0519516
petrochemical	0.0518819
childcare	0.0516289
easement	0.0512922
reemployment	0.0509279
Telecoms	0.0506035
"golf equipment"	0.0505487
for-profit	0.0505023
REACHES	0.0504694
weight-loss	0.0503261
"chain store"	0.0502948
PASSES	0.0494855
contingency	0.0494584
hedging	0.0494114
beautification	0.0491467
bare-bones	0.0491412
"two year"	0.0490421
"investment banking"	0.049023
arbitrage	0.0488596
"Defense Agency"	0.0485914
eight-year	0.0485458
House-Senate	0.0483439
FOREX	0.048317
asp	0.0482699
seven-year	0.0480104
CalPERS	0.0477719
Thirty-one	0.0477324
redevelopment	0.0477161
CCF	0.0475893
brownfields	0.047477
"sewage disposal"	0.0473437
six-year	0.0473289
China-U.S.	0.0472452
declassification	0.0471335
four-year	0.0470943
"jet engine"	0.0469946
workfare	0.0469538
"charge card"	0.0469413
TCI	0.0468441
tenancy	0.0467628
homeownership	0.046694
expansionist	0.0465541
reinsurance	0.0463789
nuclear-weapons	0.0463299
Haskins	0.0463276
Ecuadorean	0.0461713
EPZ	0.0461578
Cerent	0.0460551
demobilization	0.0459417
desalination	0.0459293
SETI	0.0459284
"earth science"	0.0458588
Anglo-American	0.045774
abatement	0.045745
Nat	0.0457368
one-off	0.0456323
divestiture	0.0456011
"More than two"	0.0454638
reforestation	0.0453592
PolyGram	0.0450807
four-point	0.0450664
three-point	0.0448626
Sino-British	0.0447864
reseller	0.0447817
Sarin	0.0446626
eight-point	0.0446211
reclamation	0.0445221
"penny stock"	0.0442812
headwaters	0.0442754
GST	0.0440857
THA	0.0440686
"state government"	0.0439505
SkyTel	0.0439288
widening	0.0439166
Mideast	0.043859
resolving	0.0438193
"R&AMP;D"	0.0437243
"more than @ billion"	0.0436841
Arab-Israeli	0.0436043
SBA	0.0435799
"Office @@"	0.0433748
telemedicine	0.0433689
"Health and Welfare Ministry"	0.0433558
Milbury	0.0433175
devolution	0.0431041
GEMINI	0.0431014
enrichment	0.0430963
THAAD	0.0429217
ballooning	0.0427688
"nearly $@@ billion"	0.04256
foreign-funded	0.0425364
"Multimedia Super Corridor"	0.0424842
electrification	0.0423743
Govt	0.0423544
spaceflight	0.0423297
nine-year	0.0423025
REIT	0.0422492
"collective bargaining"	0.0420911
Muni	0.0420273
"billion yuan"	0.0420271
Lilco	0.0419708
"blast furnace"	0.041949
ranching	0.0418904
entrepot	0.0418222
Ansett	0.0417098
confectionery	0.0416615
nine-month	0.0415479
servicing	0.0415226
seven-month	0.0414937
four-night	0.041489
riverboat	0.0414882
"Uruguay Round"	0.0414634
as-yet	0.0411754
))
("billion dollars" (desc 8173.91) (sims
"million dollars"	0.227189
"nearly $@@@ million"	0.214315
"nearly $@ billion"	0.210748
"more than @@@ million yuan"	0.190771
"about $@ billion"	0.189501
"billion yuan"	0.184656
"million yuan"	0.183622
"more than @@@ million dollars"	0.182808
"more than @@ billion dollars"	0.179075
"over @@@ million yuan"	0.178367
"nearly $@ million"	0.177879
"about $@@ million"	0.176704
"about $@.@ billion"	0.176002
"over $@@@ million"	0.175193
"nearly $@@ billion"	0.174206
"nearly $@.@ billion"	0.174086
"hundred thousand dollars"	0.170386
"about $@@ billion"	0.169881
"almost $@@ million"	0.168669
"nearly $@@ million"	0.168179
"more than @@.@ billion yuan"	0.168006
"about $@@@ million"	0.165276
"almost $@ billion"	0.163964
"nearly @@@ million yuan"	0.16344
"more than @@@,@@@ yuan"	0.162376
"more than @@ million yuan"	0.162025
"more than @.@ billion yuan"	0.161512
"almost $@ million"	0.160907
"almost $@@@ million"	0.160884
"over $@ billion"	0.160114
"nearly $@@@ billion"	0.159655
"more than @@@ billion yuan"	0.15932
"two billion yuan"	0.158613
"one billion US dollars"	0.158324
"more than @.@ billion US dollars"	0.15406
"nearly @@ billion yuan"	0.15326
"about $@@@ billion"	0.152846
"about $@.@@ billion"	0.152613
"about $@ million"	0.152411
"more than @@ million US dollars"	0.15139
"about @@@ million yuan"	0.15103
"one billion yuan"	0.149501
"nearly $@@@,@@@"	0.148771
"more than @@ billion yuan"	0.148432
"about $@.@ million"	0.148289
"about $@@@,@@@"	0.147687
"more than @ billion dollars"	0.147328
"more than @@@ million US dollars"	0.147216
"thousand dollars"	0.14662
"almost $@@ billion"	0.145236
"two million yuan"	0.145056
"more than one billion yuan"	0.144648
"five billion yuan"	0.144023
"hundred million dollars"	0.143583
"about @.@ billion dollars"	0.143069
"almost $@@,@@@"	0.138161
"about $@@,@@@"	0.137971
billion	0.135542
"about @@@ million dollars"	0.134916
"three billion yuan"	0.132093
"more than @@ million dollars"	0.130085
"nearly $@.@ million"	0.128133
"hundred dollars"	0.127802
"six billion yuan"	0.127643
"five million yuan"	0.126403
"nearly $@@,@@@"	0.124559
"nearly @.@ billion yuan"	0.124355
"about $@@.@ billion"	0.123824
"almost $@@@,@@@"	0.122444
"about @@ million dollars"	0.121173
"about @ billion dollars"	0.119862
"over @@@ billion yuan"	0.119627
"over @@@ million US dollars"	0.119404
"over @@ million US dollars"	0.119207
"more than @.@ billion dollars"	0.118138
"seven billion yuan"	0.116588
"one billion dollars"	0.116172
"a few hundred dollars"	0.115647
"over @@ billion yuan"	0.115646
"over @@ million yuan"	0.11553
"more than @ billion yuan"	0.114336
"about $@@.@ million"	0.113869
"two billion US dollars"	0.112965
"trillion dollars"	0.109751
"over $@ million"	0.108856
"one million yuan"	0.108736
"about $@@@"	0.107382
"over $@@@,@@@"	0.106016
"one million dollars"	0.105218
"about @@ billion dollars"	0.104143
U.S.dollars	0.103017
"nearly $@"	0.102357
"over $@@ million"	0.101545
"over $@@ billion"	0.0996032
"about $@,@@@"	0.0988121
"more than @@ billion US dollars"	0.094538
"about @@@ million US dollars"	0.094257
"about $@"	0.0937886
"nearly $@@"	0.0923706
"a few million dollars"	0.092323
million	0.092272
"another @@ million dollars"	0.090961
"amount of money"	0.0907241
"four billion yuan"	0.0901856
"Over @@@ Million Dollars"	0.0893937
"one million US dollars"	0.0892116
"sum of money"	0.0877841
"nearly $@,@@@"	0.0856318
"about $@@"	0.0807577
"small fortune"	0.0807029
"about $@.@@ million"	0.0796699
"over @.@ billion yuan"	0.0796259
"U.S. Dollars"	0.0789545
"about $@.@ trillion"	0.0786722
sum	0.0785851
penny	0.077313
dlrs	0.0770548
"about @@ million US Dollars"	0.0758937
reais	0.0756269
"RM@@@,@@@"	0.0755921
"more than @@,@@@ yuan"	0.0741107
cent	0.072939
euros	0.0725796
"a few thousand dollars"	0.072356
"about @.@ billion US dollars"	0.071691
"a few dollars"	0.0716018
"percentage point"	0.0705658
"three million yuan"	0.0704721
"over $@@@"	0.0673577
"RM@@,@@@"	0.0673048
"hundred thousand"	0.0662237
"about @@ billion yuan"	0.0657649
ton	0.063255
dlr	0.0629663
ECUs	0.0624457
"about @ percent"	0.0618062
"over $@@,@@@"	0.0617444
percent	0.0612899
"about @@@,@@@ dollars"	0.0606758
"how much"	0.05989
windfall	0.0583539
pataca	0.0576393
"ten percent"	0.0564711
dime	0.0564666
RM@@@	0.0563577
Mln	0.0560394
shekel	0.0557499
birr	0.055602
"thousand years"	0.055362
ruble	0.0551365
dollars-worth	0.0550023
"tax revenue"	0.0546849
ECU	0.0546547
"over $@@"	0.0541942
"Zimbabwe Dollars"	0.0539306
"over $@,@@@"	0.0536185
one-third	0.0531229
"about @@.@ million dollars"	0.0524535
"about @.@ percent"	0.0516754
monies	0.0512776
Bln	0.0505455
"about @@ pounds"	0.0503213
centavo	0.0497198
yuan	0.0495284
KUNA	0.0494592
doubling	0.0493479
arrears	0.0492972
"one dollar"	0.0483745
"one penny"	0.0481077
ringgit	0.0479941
"about $@.@@"	0.0479868
"rate of growth"	0.047825
"RM@,@@@"	0.0467835
ounce	0.0464701
"about three-quarters"	0.0464477
"about one-third"	0.0461412
"Twenty percent"	0.0460941
shortfall	0.0458018
tonne	0.0457799
"Twenty-five percent"	0.0457651
gallon	0.0453267
sq.m	0.0449941
"basis point"	0.0448672
"one million tons"	0.0447716
"currency unit"	0.0444255
"million over five years"	0.0442761
one-seventh	0.0442746
crore	0.0441718
"about @.@@ billion dollars"	0.0441132
"one percent"	0.0440807
"seven percent"	0.0440565
fraction	0.0440464
"more than @ billion"	0.0438427
"six percent"	0.043701
buoyancy	0.0434562
proceeds	0.0432393
"about @.@ billion"	0.0429854
spacewalks	0.0428512
"five percent"	0.04245
"about @.@ million dollars"	0.042244
))
("billion over @@ years" (desc 967.56) (sims
"million over five years"	0.180961
"over five years"	0.177702
"over four years"	0.176546
"over three years"	0.160138
"over two years"	0.13732
"over @@ years"	0.112802
"over six months"	0.110874
"over six years"	0.108537
"housing industry"	0.105023
"over @@ months"	0.0998877
"billion yuan"	0.0979592
CCF	0.0951609
GPU	0.0950056
"over seven years"	0.0941558
SDB	0.0932758
"From January to June"	0.0900677
"about @.@ million dollars"	0.089031
"solar cell"	0.0818335
"wind power"	0.0811184
EBRD	0.080775
"nearly @@@ million yuan"	0.0798419
Eximbank	0.0790031
"one million dollars"	0.0781624
"almost $@ billion"	0.0777117
"one billion dollars"	0.0774847
ICBC	0.0771193
"one million US dollars"	0.0766187
"nearly three times"	0.0761966
"from January to May"	0.0753673
CCB	0.0746921
"million yuan"	0.0741255
Adelphia	0.0737956
"three million yuan"	0.0735683
"up to @@ days"	0.0728233
"more than four times"	0.0727188
"about five times"	0.0714621
"Marshall Plan"	0.0712462
Measures	0.0709365
Pirelli	0.0704067
Mapes	0.0688302
"five million yuan"	0.0678434
"a few thousand dollars"	0.0672339
BOC	0.0669312
"Vision @@@@"	0.0655771
"a few million dollars"	0.06518
Unicom	0.0647389
"hundred million dollars"	0.064439
"hundred thousand dollars"	0.0637308
PICC	0.0635322
"preferred shares"	0.0632832
"more than @@@ million dollars"	0.0630013
"another six months"	0.0629332
"over @@ hours"	0.0617765
"more than @@ million yuan"	0.0614745
"over $@@@ million"	0.0612022
"one million yuan"	0.0610621
"more than @@@ million US dollars"	0.0607193
"more than @@@,@@@ yuan"	0.0606073
"more than five times"	0.0603453
Clements	0.0602897
"reserve fund"	0.0602865
"over @@ million yuan"	0.0602412
"about @@@ times"	0.059839
Figgis	0.0592704
Loewen	0.0591009
"more than @ billion dollars"	0.0587016
"Nature Conservancy"	0.0579679
"European Investment Bank"	0.0577864
"more than one billion yuan"	0.0574842
utmost	0.0574777
BBOX	0.0572292
WEF	0.0571776
"up to three years"	0.0571246
"circuit breaker"	0.0567946
"Aetna Inc."	0.0566605
Rodionov	0.0565643
Alltel	0.0564189
"ten times"	0.0563876
"tax change"	0.0562131
"almost $@ million"	0.0560097
Gilead	0.0558471
Copley	0.0554401
"secret plan"	0.0554198
"policy change"	0.0553969
"local department"	0.0553396
"one penny"	0.055161
tilde	0.0550893
supplementation	0.0549982
"more than three times"	0.0549135
USAID	0.0546411
D'Alessandro	0.0545401
"Turkish Airlines"	0.0544637
homeownership	0.0544517
"almost $@@ million"	0.0544088
"nearly $@ billion"	0.0543687
mainlanders	0.0543609
UNDCP	0.0542948
drugmakers	0.0537895
"less than two hours"	0.0537636
transnationals	0.0535033
"one billion US dollars"	0.0530813
"over @@@ million yuan"	0.0530728
CDB	0.0530538
Shaffer	0.0528782
Ticketmaster	0.0527923
"National Convention Executive Council"	0.0527602
"more than @@ million dollars"	0.0526082
AutoNation	0.0524769
"about @.@ billion dollars"	0.0524165
"auto company"	0.0523333
telemedicine	0.0523071
Transamerica	0.0522659
CSC	0.0522597
CIRC	0.0521148
"up to @@ times"	0.0520291
NTL	0.0516654
wherewithal	0.0516471
"more than @@@ million yuan"	0.0515817
"Universal Postal Union"	0.0514742
"about $@.@ million"	0.0514279
PBA	0.0513814
"blank check"	0.0513537
Ciena	0.0513408
SAS	0.0512541
"Paula Corbin Jones"	0.0511522
"three billion yuan"	0.0510744
"Computer Associates"	0.0510724
"Organization of Islamic Conference"	0.0510164
HKMA	0.050909
"up to six months"	0.0505976
NPLs	0.0505141
MBNA	0.050425
pretax	0.0503721
DEC	0.0503386
"U.S. Golf Association"	0.0503228
Loretta	0.0502586
"Petroleum Exporting Countries"	0.0502527
Wiberg	0.0501967
"from January to September"	0.0501718
"closed-end fund"	0.0501241
CPAFFC	0.0501113
"Agricultural Bank of China"	0.0496793
escrow	0.0496791
"fund-raising campaign"	0.0496433
"Macao Government"	0.0494879
KEDO	0.0493875
"China Youth Development Foundation"	0.0492355
"another @@ months"	0.0491784
Airlines	0.0490044
"market maker"	0.0489407
worksheet	0.0486949
"sum of money"	0.0486782
"Straits Times Industrials Index"	0.0486604
SAFY	0.0486544
filers	0.0486063
PRIMESTAR	0.048518
HKFA	0.048512
"from @@@@-@@@@"	0.0484903
"about @@@,@@@ dollars"	0.048392
"work unit"	0.0483547
"export credit"	0.0483303
"more than @@ billion yuan"	0.0482196
"Fannie Mae"	0.0481898
UTC	0.048186
"up to @@ hours"	0.048155
"consumer credit"	0.0480641
"eight months ago"	0.047995
"Playstation II"	0.0478578
"about $@@@ billion"	0.0476985
"Secretary General Boutros Boutros-Ghali"	0.0476953
HCFA	0.0476192
"trucking company"	0.0476169
"line of products"	0.0473275
"Islamic Development Bank"	0.0472495
"Health Insurance Program"	0.0472375
"Balanced Budget Act"	0.0472144
"three match points"	0.0471849
"Hongkong Telecom"	0.0471719
"coaxial cable"	0.0470021
"about one hour"	0.0469566
Eskom	0.0469111
"Chinese government"	0.0469024
"life insurer"	0.0468916
"Export-Import Bank"	0.0468654
"Commercial Bank of China"	0.0468609
Myhrvold	0.0467563
"Common Market for Eastern and Southern Africa"	0.0467482
Intl	0.0465479
"two hands"	0.0464041
"Abbott Laboratories"	0.0464001
Cargill	0.0463962
Scientific-Atlanta	0.0463324
"less than four minutes"	0.0463205
"International Maritime Organization"	0.0462474
"one billion yuan"	0.0462146
Haworth	0.0462061
refusals	0.0461455
"U.N. Interim Force in Lebanon"	0.0461445
"moral obligation"	0.0460881
"three units"	0.0459401
))
("billion yuan" (desc 1498.87) (sims
"million yuan"	0.42341
"nearly @@ billion yuan"	0.375392
"more than @ billion yuan"	0.372539
"five billion yuan"	0.331044
"about @@@ million yuan"	0.325573
"nearly @@@ million yuan"	0.316443
"three billion yuan"	0.306998
"six billion yuan"	0.296112
"more than @@@ million yuan"	0.289918
"one billion yuan"	0.287503
"more than one billion yuan"	0.284599
"over @@ billion yuan"	0.283797
"over @@@ million yuan"	0.283038
"more than @@@ billion yuan"	0.281723
"more than @.@ billion US dollars"	0.280391
"five million yuan"	0.27605
"more than @@ billion yuan"	0.273711
"two million yuan"	0.273543
"four billion yuan"	0.268124
"more than @@@ million dollars"	0.26726
"about @@ billion yuan"	0.261645
"two billion yuan"	0.255907
"over @@@ billion yuan"	0.254452
"more than @@ million yuan"	0.253875
"more than @@@ million US dollars"	0.249589
"nearly @.@ billion yuan"	0.24529
"over @@ million yuan"	0.233603
"over @@@ million US dollars"	0.233184
"more than @.@ billion yuan"	0.232185
"more than @@ million dollars"	0.229315
"more than @@ million US dollars"	0.229236
"hundred million dollars"	0.228332
"more than @@.@ billion yuan"	0.227496
"more than @@@,@@@ yuan"	0.226704
"over @.@ billion yuan"	0.226151
"seven billion yuan"	0.225093
"one billion US dollars"	0.223543
"one million yuan"	0.218299
"three million yuan"	0.213087
"one million US dollars"	0.20219
"more than @.@ billion dollars"	0.189343
"billion dollars"	0.184656
"more than @ billion dollars"	0.178011
"two billion US dollars"	0.177671
"over @@ million US dollars"	0.177492
"more than @@ billion dollars"	0.177018
"one billion dollars"	0.176992
"nearly $@.@ billion"	0.176023
"another @@ million dollars"	0.175084
"almost $@@ million"	0.170428
"almost $@@@ million"	0.166974
"one million dollars"	0.162931
"a few million dollars"	0.162386
"about @.@ billion dollars"	0.159941
"hundred thousand dollars"	0.159934
"about @ billion dollars"	0.155757
"over $@ billion"	0.154583
"nearly $@@@ million"	0.154577
"thousand dollars"	0.153961
"Over @@@ Million Dollars"	0.153311
"almost $@ billion"	0.151036
"more than @@,@@@ yuan"	0.148468
"about @@@ million US dollars"	0.144794
"about @.@ billion US dollars"	0.143136
"over $@@@ million"	0.142696
"nearly $@@ billion"	0.141371
"over $@@ million"	0.141365
"almost $@@ billion"	0.140052
"about @@ million dollars"	0.138554
"about $@@@ billion"	0.137852
"over $@@ billion"	0.137808
"more than @@ billion US dollars"	0.137227
"nearly $@@@ billion"	0.135621
"hundred dollars"	0.134023
"about $@ billion"	0.132857
"million dollars"	0.130723
"about @@ million US Dollars"	0.13072
"about @@@ million dollars"	0.12696
"nearly $@ billion"	0.126638
"nearly $@@"	0.124971
"about $@@ billion"	0.119755
"a few hundred dollars"	0.117946
"nearly $@"	0.114931
billion	0.114629
"nearly $@ million"	0.111328
"trillion dollars"	0.110171
"about $@@ million"	0.109649
"nearly $@@ million"	0.109356
"about $@.@@ billion"	0.108877
"about $@@@ million"	0.108526
"more than @.@ billion"	0.107953
"about $@ million"	0.107523
"about $@.@ billion"	0.106037
"RM@@@,@@@"	0.103526
"nearly $@.@ million"	0.103408
U.S.dollars	0.102034
"about $@@.@ billion"	0.101706
"Tanzania Shillings"	0.0990373
"Uganda Shillings"	0.0984881
"billion over @@ years"	0.0979592
"about $@.@ million"	0.0976491
"about @@ billion dollars"	0.0975259
tenge	0.0953787
"more than @ billion"	0.0949574
hryvnas	0.0908083
metical	0.0905791
"million over five years"	0.0896106
"thousand years"	0.0895929
pataca	0.0895183
VND	0.0893466
ECU	0.0883816
"one penny"	0.0871352
korun	0.0867919
"more than @@ billion"	0.0852746
crore	0.085115
"Zimbabwe Dollars"	0.0846698
"over $@@"	0.0845434
"small fortune"	0.0838751
"a few dollars"	0.0818364
"Kenya Shillings"	0.0804837
"about $@"	0.0799412
"nearly $@@,@@@"	0.0798184
trillion	0.0798007
"almost $@@@,@@@"	0.0786302
"about @.@ billion"	0.0785585
"about $@@@,@@@"	0.0783385
"Deutsche Mark"	0.0782052
"RM@@,@@@"	0.0776476
"over $@ million"	0.0774936
"a few thousand dollars"	0.0770233
"about @@@,@@@ dollars"	0.0770224
"wind power"	0.0770194
"two billion"	0.0769942
"almost $@@,@@@"	0.0767821
"almost $@ million"	0.076327
dinar	0.0749629
birr	0.0749174
"more than @@@ million"	0.0741862
"U.S. Dollars"	0.0739716
"about $@@,@@@"	0.0736451
shekel	0.0731894
yuan	0.0731065
"one billion"	0.0729077
"hundred years"	0.0726519
"about $@.@ trillion"	0.0724742
"sum of money"	0.0723109
"about @.@@ billion dollars"	0.0722488
"two cents"	0.0713792
ECUs	0.0713276
"six billion"	0.0704443
"pork barrel"	0.0698335
"about $@@.@ million"	0.0693251
falloff	0.0690402
"about $@@@"	0.0685733
"nearly $@@@,@@@"	0.0685723
"about @.@ million dollars"	0.0683329
desalination	0.0679072
RM@@@	0.067421
"RM@,@@@"	0.0672376
one-seventh	0.0670541
octane	0.0665528
"million Dollar"	0.0662908
"over $@@@,@@@"	0.0656204
"nearly $@,@@@"	0.0653005
GEF	0.0652084
transnationals	0.0640912
KEDO	0.0625415
softness	0.062311
KUNA	0.0605856
monies	0.0605097
afforestation	0.0604991
"bus company"	0.060153
Pula	0.0595736
"tax change"	0.0593749
RMB	0.0588282
"Malaysian Ringgit"	0.0587601
"hundred thousand"	0.05836
"one dollar"	0.0579814
GPU	0.0577403
Auger	0.0576563
dlr	0.0575186
ODA	0.057301
franc	0.0568917
quarter-century	0.0566042
"over @@ million tons"	0.0563538
meticais	0.0561332
ex-combatants	0.055739
"more than @,@@@ yards"	0.055525
RM@@	0.0554186
kwanza	0.0550166
SMIs	0.0546222
hydropower	0.0542854
"about $@.@@ million"	0.0542754
Adelphia	0.0542374
"about @@ pounds"	0.0540713
motorcyclists	0.0537693
multiyear	0.0536651
"Multimedia Super Corridor"	0.0535529
enterpreneurs	0.0530405
BOC	0.052884
))
(billionaire (desc 16594.3) (sims
multimillionaire	0.189401
magnate	0.175039
millionaire	0.157408
financier	0.150068
tycoon	0.149548
businessman	0.135761
mogul	0.100818
philanthropist	0.0841039
entrepreneur	0.0830126
"real estate developer"	0.0823601
billionaires	0.0813903
founder	0.0761558
"Saudi Arabian"	0.0725814
cofounder	0.0693456
Industrialist	0.0679643
baron	0.0641718
"venture capitalist"	0.0628036
oilman	0.0620342
banker	0.0590546
clergyman	0.0557797
developer	0.0554843
televangelist	0.0554032
multimillionaires	0.0550987
stockbroker	0.0536804
Pioneer	0.0527416
"art dealer"	0.0524888
gentleman	0.0509121
newspaperman	0.0506247
techie	0.050026
heiress	0.0495519
"magazine publisher"	0.0493984
"good person"	0.0491015
Japanese-American	0.0487733
restaurateur	0.0486854
namesake	0.0483182
schoolteacher	0.0479607
"investment banker"	0.0479258
"interior designer"	0.0477071
"Warren Buffett"	0.0474927
"Larry Ellison"	0.0469973
whiz	0.0467548
"Paul Allen"	0.0463775
nobleman	0.0462686
sculptor	0.0462621
Italian-American	0.0457476
"Bill Gates"	0.0456148
Chinese-American	0.0454913
fireman	0.0454444
cartoonist	0.045143
businesswoman	0.0451009
"Ross Perot"	0.0447872
socialite	0.0445504
psychoanalyst	0.0445097
"Howard Hughes"	0.0444262
CEO	0.0444232
"rich man"	0.0443567
pediatrician	0.0437783
pianist	0.0436349
wannabe	0.0435753
visionary	0.0434534
"newspaper publisher"	0.0434182
REVLON	0.0433606
psychotherapist	0.0431768
Congressman	0.0431036
poet	0.0429352
preacher	0.0426123
sportswriter	0.0425898
singer-songwriter	0.0425022
"penny stock"	0.0423191
"school teacher"	0.0421706
Brit	0.0420667
plumber	0.0420573
"management consultant"	0.0419836
"naval officer"	0.0419732
painter	0.0418544
"Ted Turner"	0.0416143
mathematician	0.041575
inventor	0.0415676
"film producer"	0.0415044
hippie	0.0413096
guru	0.0413047
Judas	0.0412706
"real estate broker"	0.0409976
"computer programmer"	0.0408956
"sports fan"	0.0408876
businessmen	0.0408344
neophyte	0.0407872
"school principal"	0.0407801
policeman	0.0404347
"trial lawyer"	0.0404305
"George Soros"	0.0403962
"real estate"	0.0402231
"black person"	0.0401679
))
(billionaires (desc 5468.18) (sims
multimillionaires	0.145798
millionaire	0.102408
billionaire	0.0813903
firsts	0.0790565
metropolises	0.0785536
celebs	0.0750635
mogul	0.075001
centenarian	0.0737708
"venture capitalist"	0.0701599
shipbuilder	0.0670964
Industrialist	0.0665057
illiterate	0.0658854
"Top @@@"	0.065885
multimillionaire	0.0657411
entrepreneur	0.0656876
All-Americans	0.0632575
closers	0.061994
"corporate executive"	0.0619138
"two pitchers"	0.0618433
literate	0.0616855
major-leaguers	0.059714
transnationals	0.0593108
"success story"	0.0591687
hotspots	0.0591666
banker	0.0591525
oligarch	0.0584433
"delivery service"	0.0582833
Bostonians	0.0581918
tycoon	0.0581149
carmakers	0.0577114
magnate	0.0576313
"business leader"	0.0575372
statesmen	0.0572389
oilmen	0.0571869
"test-tube baby"	0.0563549
multinationals	0.0557064
salesmen	0.0556568
luminary	0.0554678
affluent	0.0551985
Alumni	0.0550971
"No. @s"	0.0550067
flashpoints	0.054243
also-ran	0.0538023
Beijingers	0.0535796
All-stars	0.0534189
ex-convicts	0.0528906
hopefuls	0.0528081
rappers	0.0527249
"real estate developer"	0.0527197
"movie star"	0.0525801
spacewalks	0.0524266
businesswomen	0.0520143
"church member"	0.0519285
philanthropist	0.0517928
"oil producer"	0.0517927
upstart	0.051683
interloper	0.0515971
"political prisoner"	0.051451
marathoner	0.0512605
golfer	0.0512471
"New York Democrats"	0.0512467
steelmaker	0.0512421
financier	0.0511721
ISPs	0.0510695
"business executive"	0.0510625
polluters	0.0510047
megamergers	0.0508279
"auto maker"	0.0507473
QBs	0.0505041
Atlantans	0.050468
standouts	0.0504449
"New York Republicans"	0.0502372
eateries	0.050031
"insurance firm"	0.0498115
marketers	0.0497701
"Southern Democrats"	0.0493226
pluses	0.0492726
co-leaders	0.0492403
chipmakers	0.0492311
bookseller	0.0492082
startup	0.049164
"shooting star"	0.049158
mobster	0.0488967
Frenchmen	0.0488962
automakers	0.0488803
VIP	0.048736
"cable operator"	0.048422
plutocrat	0.0482319
ECNs	0.0481892
"government officials"	0.0481661
Haitian	0.0480398
Klansmen	0.0480214
"drug maker"	0.0478968
homeowner	0.0477776
criminologists	0.0477249
advertiser	0.0475233
"trade unionist"	0.0474629
highflier	0.0474366
meccas	0.0472988
varietals	0.0472934
websites	0.0472758
"political detainee"	0.047216
baron	0.0470347
vertebrate	0.0469972
socialite	0.046974
fastest-growing	0.0469663
restaurateur	0.0469567
footballer	0.0468661
"AIDS patient"	0.0467912
richest	0.046638
"Final Fours"	0.0465808
whistle-blowers	0.0465465
grown-up	0.046519
quarterfinalists	0.0464893
imitator	0.0464759
polluter	0.0464645
techies	0.0463625
"key market"	0.0462698
powerhouse	0.0462128
"brokerage house"	0.0461921
entertainer	0.0461246
goaltenders	0.0461236
hurdler	0.0460553
meltdowns	0.0460513
skyboxes	0.0459494
rancher	0.0458919
"domed stadium"	0.0458753
mega-mergers	0.0457489
e-tailers	0.0456649
headhunter	0.045573
defaulter	0.0455173
filmmakers	0.0454607
"foster parent"	0.0454523
benefactor	0.0454393
twenty-one	0.0453848
"drug trafficker"	0.0453464
sportsmen	0.0453131
postgraduate	0.0452936
firemen	0.0452754
"elected official"	0.0451712
speller	0.045122
telecommuters	0.0451074
"best seller"	0.0450603
issuers	0.045049
old-timer	0.0450425
heavyweight	0.0449862
congressmen	0.0449711
"murder suspect"	0.0449301
"Iranian POWs"	0.0449
specialities	0.0448525
Englishmen	0.0448415
aristocracy	0.044841
"rare bird"	0.0448157
"food company"	0.044796
adopters	0.0447955
"major power"	0.0447875
suffix	0.0447769
"semiconductor maker"	0.0447626
smoker	0.0447268
guardsmen	0.0446924
triathletes	0.0446108
"computer giant"	0.0446011
"race horse"	0.0445948
literati	0.044533
"nuclear power"	0.0444806
pauper	0.0444342
safest	0.0444336
"jazz musician"	0.044388
"mountain gorilla"	0.0443475
beekeeper	0.0443295
Kansan	0.0443258
"chess player"	0.0442083
"car maker"	0.0441139
"toy retailer"	0.0440897
snakehead	0.0440826
"sports fan"	0.0440188
"Scandinavian country"	0.0439985
phenoms	0.0439652
"industrial enterprise"	0.0439413
"newspaper publisher"	0.0439287
parastatals	0.0438722
batsmen	0.0438373
"investment banker"	0.0438274
immortal	0.043802
skier	0.0437392
skater	0.0436885
VMs	0.0436413
dot-coms	0.0436146
payer	0.0435256
"trade association"	0.0434966
brethren	0.0434777
"chain store"	0.0434587
"talent agent"	0.0434278
retiree	0.043302
balloonist	0.0432711
"odds and ends"	0.0432297
"agenda item"	0.0432269
singer-songwriters	0.0431786
debtor	0.0431424
"trial lawyer"	0.0431338
))
(billions (desc 1963.14) (sims
"about $@.@@ million"	0.103924
"Over @@@ Million Dollars"	0.103391
"about $@@.@@"	0.0876805
"over $@ million"	0.0731346
trillion	0.072087
"nearly $@ million"	0.0715919
"about $@.@ billion"	0.0672191
zillion	0.0645236
"about $@@.@ million"	0.0634336
"about $@ million"	0.0630303
"two billion"	0.0623893
"nearly $@@ million"	0.059317
"over $@@ million"	0.0582961
"about $@@ billion"	0.0581667
"about $@.@ million"	0.0574277
"About @ billion"	0.0567342
"almost $@@ million"	0.0551338
"over $@,@@@"	0.0547229
Midwesterners	0.0546305
"almost $@ million"	0.0540606
"nearly $@ billion"	0.0538343
"one penny"	0.0536869
"nearly $@@@ million"	0.0522809
"about @.@@"	0.0520261
NZ	0.0511477
laundering	0.0500028
"nearly $@.@ million"	0.0494859
"about @.@ billion"	0.0490864
"Softbank Corp."	0.0488931
skittishness	0.0488257
"Tom Hicks"	0.0479592
earning	0.0475252
savings	0.0461563
after-hours	0.0454724
rescheduling	0.0452716
"about $@ billion"	0.0450004
divestment	0.0447735
"About three quarters"	0.0443859
"about $@@@ billion"	0.0443595
"nearly $@"	0.0432374
"more than @@@,@@@ yuan"	0.0431006
"over @@ million yuan"	0.0430712
shipmate	0.0430157
Bln	0.0429149
"about @.@"	0.0423305
"Twenty-five percent"	0.0420061
"about @@ billion"	0.0409839
"account statement"	0.0406327
"million yuan"	0.0403642
Georges	0.0402779
"Dhaka Stock Exchange"	0.0402378
))
(Billy (desc 16625.3) (sims
Jeff	0.108939
Kevin	0.103257
Bobby	0.101292
Tim	0.101246
Danny	0.0967039
Pete	0.0954099
Brian	0.0949106
John	0.0944284
Steve	0.0943149
David	0.0939905
Michael	0.0935196
Jamie	0.0922794
Jim	0.0918107
Dave	0.0915396
Robert	0.0912554
Joe	0.0912542
Larry	0.0903551
Dan	0.0902762
tom	0.0884504
Phil	0.0861934
Chris	0.085696
Eric	0.0855998
BOB	0.0850978
Kenny	0.0848193
Jason	0.0845412
Paul	0.0840786
Ricky	0.08402
matt	0.0835351
mike	0.0831021
Walter	0.0827931
Frank	0.0815811
Johnny	0.0813928
Steven	0.080936
Rick	0.0805959
Ron	0.079782
Greg	0.0796417
Gary	0.0795766
Fred	0.0790147
Carl	0.0787571
jack	0.0783617
Charles	0.0780725
Reggie	0.0780528
Doug	0.0779079
Adam	0.0778955
Richard	0.0778065
Patrick	0.077424
William	0.0761567
Jerry	0.0760171
Joey	0.0757489
Ben	0.0756818
Todd	0.0755908
Anthony	0.0752515
Tommy	0.0752091
Terry	0.0750578
Randy	0.0748826
Marty	0.0745437
Josh	0.0741238
Tony	0.0740943
Jimmy	0.0737238
Ian	0.07365
Harry	0.0733057
Bruce	0.073047
Eddie	0.0729258
Jeremy	0.0727985
Dennis	0.0725735
Ed	0.0724035
Harold	0.0722905
Andrew	0.0721875
James	0.0721419
Jonathan	0.0716831
Brett	0.071628
Ted	0.0714554
Andre	0.0708027
Evan	0.0705754
George	0.0702551
Willie	0.0697874
Ralph	0.0695359
Juan	0.0693924
Andy	0.0692382
Lou	0.0689911
Peter	0.0684056
don	0.0681909
Roger	0.0677416
nick	0.0675493
Shane	0.0671905
Scott	0.0670676
Ken	0.0669183
Alan	0.0666486
Barry	0.0666383
Sam	0.0664706
Chuck	0.0663872
Charlie	0.0663654
Jake	0.0663134
Derek	0.0659963
Phillip	0.0658484
Gerald	0.0656028
Joshua	0.0652717
Payne	0.0651317
Matthew	0.0650509
Sean	0.0649396
Theo	0.064902
Nicholas	0.0648629
Justin	0.0647252
dad	0.0646611
Keith	0.0642725
Brandon	0.0640353
Wayne	0.0639155
Jon	0.0638136
Edward	0.0636337
Jesse	0.063495
Gail	0.0632876
Casey	0.063036
Joseph	0.0630227
Ronald	0.0630111
Vince	0.0627064
Erin	0.0623544
Adrian	0.0622982
Mary	0.0619316
Shawn	0.0617283
Christopher	0.061381
Kyle	0.0613366
Albert	0.0609428
Liam	0.0607941
Miguel	0.0607761
Robby	0.0607656
Henry	0.0606558
Ramon	0.0606413
Ernie	0.060518
Marc	0.0603924
Lance	0.0603662
Stan	0.0602474
Jeb	0.0601287
Jackie	0.0600901
Noel	0.059846
Sarah	0.0598332
Sammy	0.0596867
Richie	0.0590093
Stephen	0.0588985
Mario	0.0587121
Donald	0.0586428
ray	0.0584421
Simon	0.0584081
Gerard	0.0581625
Leo	0.0574572
jay	0.057228
Trevor	0.057164
Roberto	0.0571551
Raymond	0.0567509
Tyler	0.0566164
Roy	0.0565909
Brad	0.0563408
Max	0.0562231
Philip	0.0561329
Corey	0.0560727
Ronnie	0.0558108
Vinny	0.0557938
Alex	0.0554076
Jose	0.0552733
Connor	0.0549705
Arthur	0.0546253
martin	0.054461
Aaron	0.0543962
Renee	0.0543268
dick	0.0542445
Jessica	0.054207
Ryan	0.0540969
Lawrence	0.0540277
Marvin	0.0539239
Robbie	0.0537367
Drew	0.0536383
Neil	0.0536072
Isaiah	0.0535925
Carlos	0.0535108
Elliott	0.0534123
Craig	0.0530668
Rene	0.0530028
"George W."	0.0529166
Earl	0.052848
Joel	0.0526501
Owen	0.0523282
Monica	0.0523034
Ali	0.0522873
Claude	0.0520508
Irwin	0.0520066
Bernie	0.0519375
sandy	0.0518893
mom	0.0518131
Michelle	0.0517898
"little girl"	0.0517833
Annie	0.0517156
Rachel	0.0513421
Edgar	0.0511882
Donna	0.0509572
Samuel	0.0509403
Gabe	0.0507575
Susan	0.0507561
Valerie	0.0506829
Daniel	0.0506419
Antonio	0.0505976
Karen	0.0504175
))
("Billy Andrade" (desc 2432.75) (sims
"Olin Browne"	0.216604
"Fuzzy Zoeller"	0.19267
"Stewart Cink"	0.176799
"Bob Tway"	0.16159
"Bill Glasson"	0.15986
"Steve Elkington"	0.157903
"John Cook"	0.151311
"Fred Couples"	0.151229
"Davis Love III"	0.148382
"Nick Price"	0.145933
"Scott Dunlap"	0.145416
"Larry Mize"	0.141135
"Mark Calcavecchia"	0.141009
"John Huston"	0.140335
"Brad Faxon"	0.135605
"Justin Leonard"	0.133019
"Mark Brooks"	0.132706
"Frank Nobilo"	0.13005
"Scott Hoch"	0.126131
"Craig Stadler"	0.125042
"Tim Herron"	0.122436
"Corey Pavin"	0.119757
"Vijay Singh"	0.117386
"Steve Jones"	0.117118
"John Daly"	0.116946
"Tom Lehman"	0.116634
"Andrew Magee"	0.114748
"Lee Janzen"	0.114661
"Chris Perry"	0.111175
"Curtis Strange"	0.110755
"Bob Estes"	0.110437
"Jeff Sluman"	0.110117
"Jim Furyk"	0.109887
"Nick Faldo"	0.107816
"Greg Norman"	0.107559
"Mark O'Meara"	0.103227
"Loren Roberts"	0.0967572
"Tom Kite"	0.0962344
"Jay Haas"	0.0946586
"Payne Stewart"	0.0945485
"David Duval"	0.0932766
"Thomas Bjorn"	0.0927948
"Fred Funk"	0.0907135
"Jose Maria Olazabal"	0.0884675
"Colin Montgomerie"	0.0864787
"Ian Woosnam"	0.0852634
"Rocco Mediate"	0.0833654
"Sergio Garcia"	0.0811917
"Peter Jacobsen"	0.0806264
"Jesper Parnevik"	0.0802737
"Mike Weir"	0.0752786
"Phil Mickelson"	0.0744308
"Kirk Triplett"	0.0740625
"Shigeki Maruyama"	0.0723751
Andrade	0.0682522
"Darren Clarke"	0.0676067
"HANK KUEHNE"	0.0669572
"Steve Stricker"	0.0668399
Arazi	0.0668365
Gogel	0.0663075
"High Museum of Art"	0.0660449
"Jack Nicklaus"	0.0656964
"Tom Watson"	0.0649028
Sugiyama	0.0635708
"Seve Ballesteros"	0.0628031
Bastia	0.0623021
Magee	0.0617888
"Hale Irwin"	0.0615809
"Stuart Appleby"	0.061521
"Kjetil Andre Aamodt"	0.061263
"Hal Sutton"	0.0606462
"Billy Mayfair"	0.0601734
"Scott Verplank"	0.058619
"J.P. Hayes"	0.058572
"Morten Andersen"	0.0584236
Nicklaus	0.0571621
Spirlea	0.0565732
"Jeff Maggert"	0.0565216
"Miguel Angel Jimenez"	0.0563642
"Bernhard Langer"	0.0551515
Coulthard	0.0541766
"Raymond Floyd"	0.0539788
"Ralf Schumacher"	0.0535046
"Ernie Els"	0.0533522
"Paul Azinger"	0.0530011
Hoch	0.0529195
"Justin Rose"	0.0528857
"Ben Crenshaw"	0.0525092
"Gary Player"	0.0516675
"Mark Wohlers"	0.0512298
Mickelson	0.0508443
"Dana Quigley"	0.0507024
"Lee Westwood"	0.0498491
"David Frost"	0.0497988
"Hartsfield International Airport"	0.0496236
"Dikembe Mutombo"	0.0494543
Maggert	0.047466
Dougherty	0.047231
Ballesteros	0.0471948
Calcavecchia	0.0469663
"Lenny Wilkens"	0.0465245
Berasategui	0.0464419
Gustafsson	0.0458694
Anand	0.0455146
Maruyama	0.0453473
"Arnold Palmer"	0.0450767
"Mark Crear"	0.044651
Halard-Decugis	0.0446162
Scelzi	0.0442352
Clavet	0.0441656
"John Smoltz"	0.0434634
"Lasse Kjus"	0.0431968
"Chris Chandler"	0.0428249
"Christian Laettner"	0.042675
"Carlos Franco"	0.0425419
"Kevin Millwood"	0.0424921
"Tommy Lasorda"	0.0423858
Nicol	0.042298
"Wang Chunlu"	0.0413857
Shenhua	0.04095
Lawrie	0.040881
"Bobby Cox"	0.0404532
Inman	0.0402602
"Jessie Tuggle"	0.0402435
Prinosil	0.0400316
))
("Billy Boat" (desc 2660.17) (sims
"Scott Sharp"	0.29358
"Arie Luyendyk"	0.277338
"Greg Ray"	0.275544
"Kenny Brack"	0.274209
"Sam Schmidt"	0.244007
"Eddie Cheever"	0.236053
"Tony Stewart"	0.235658
"Scott Goodyear"	0.235057
"Jeff Ward"	0.192894
"Buddy Lazier"	0.17938
"Dario Franchitti"	0.165898
"Alex Zanardi"	0.157991
"Bobby Labonte"	0.156317
"Ernie Irvan"	0.15018
"Kenny Irwin"	0.149976
"Robby Gordon"	0.14768
"Juan Montoya"	0.142804
"Christian Fittipaldi"	0.142578
"Jimmy Vasser"	0.141179
"Ricky Rudd"	0.140676
"David Coulthard"	0.134453
"Michael Andretti"	0.133157
"Scott Pruett"	0.131572
"Miguel Indurain"	0.130295
"Damon Hill"	0.128898
"Brooke Bennett"	0.125359
"Didier Auriol"	0.125266
Luyendyk	0.124802
"Mike Skinner"	0.123837
"Dale Jarrett"	0.122817
"Moses Tanui"	0.121099
"Bjarne Riis"	0.120022
Longo	0.118634
Andretti	0.117175
"MIka Hakkinen"	0.116126
"Rusty Wallace"	0.115786
"Jacques Villeneuve"	0.115427
"Jeff King"	0.11521
"Paul Tracy"	0.114837
"Colin McRae"	0.114439
"Bryan Herta"	0.112014
"Joe Nemechek"	0.111155
"Greg Moore"	0.110994
Sainz	0.110821
"Jeff Gordon"	0.11042
"Bobby Rahal"	0.110363
"Lasse Kjus"	0.110172
"Heinz-Harald Frentzen"	0.109954
"Michael Doohan"	0.109079
"Terry Labonte"	0.107743
"Carlos Sainz"	0.106709
"Eddie Irvine"	0.105953
"Max Papis"	0.105326
"Juli Inkster"	0.104501
"Zoran Primorac"	0.104262
"Jubilo Iwata"	0.104194
"Tommi Makinen"	0.103826
"Michael Schumacher"	0.103661
"Pernilla Wiberg"	0.102288
"Tyler Hamilton"	0.101392
"Juha Kankkunen"	0.100943
"Vanessa Atler"	0.100701
"Al Unser Jr."	0.10061
"Steve Park"	0.100375
"Maria Butyrskaya"	0.099312
"Ricky Craven"	0.0992589
"Peter Rasmussen"	0.0992467
"Thomas Stangassinger"	0.0988822
"Dale Earnhardt Jr."	0.0983322
"Fatuma Roba"	0.0974364
"Jansher Khan"	0.0974279
"Yang Yang"	0.0964547
"Adrian Fernandez"	0.0961094
"Mark Martin"	0.0951551
"Blaine Wilson"	0.0947291
Doohan	0.0937296
"Max Biaggi"	0.0931985
"Jeff Burton"	0.0926241
"Dale Earnhardt"	0.0926044
"Svetlana Khorkina"	0.092355
"Todd Eldredge"	0.0915781
"Chris Boardman"	0.0912859
"Fu Mingxia"	0.0912725
Labonte	0.0909449
"Li Jiajun"	0.0907348
"Paul Tergat"	0.0902816
Brack	0.0901422
"Ken Schrader"	0.0898317
"Mark Calcavecchia"	0.0891749
"Alexandra Meissnitzer"	0.0890644
"Jeremy Mayfield"	0.0887737
"Hermann Maier"	0.0884812
"Alexei Yagudin"	0.0882596
"Richard Burns"	0.0881773
"Renate Goetschl"	0.0880437
"Lee Janzen"	0.0876421
"Matt Kuchar"	0.0871735
Coulthard	0.0863003
Makinen	0.086236
"Paul Lawrie"	0.0850405
"Kevin Lepage"	0.0847777
"Bill Elliott"	0.0847687
"Gunda Niemann-Stirnemann"	0.0846028
Knapp	0.0843
"Abraham Olano"	0.084248
"Alex Zuelle"	0.0838489
"Michael Von Gruenigen"	0.0829707
"Liu Limin"	0.0828988
"Anjelika Krylova"	0.0825184
Vasser	0.0818872
"Darrell Waltrip"	0.0818042
"Elvis Stojko"	0.081418
"Penny Heyns"	0.0810236
"Ward Burton"	0.0809863
Shuwei	0.0808631
"Tegla Loroupe"	0.0802399
"Derrick Adkins"	0.0801406
"Katja Seizinger"	0.0801165
Khorkina	0.0799278
"John Godina"	0.0798742
"Jean-Philippe Gatien"	0.0798108
"Rodney Eyles"	0.0797013
"Gil Morgan"	0.0795331
"Hale Irwin"	0.0794852
Villeneuve	0.0794824
"Liselotte Neumann"	0.0791413
"Olin Browne"	0.0787195
Zanardi	0.0784874
"Kyle Petty"	0.0783691
"Irina Privalova"	0.0783546
"Isolde Kostner"	0.077978
"Alexei Urmanov"	0.0778092
Jalabert	0.0775281
"Michael Weiss"	0.0767666
"John Andretti"	0.0767005
"Annika Sorenstam"	0.0765545
"Yu Zhuocheng"	0.0764428
"Oksana Kazakova"	0.0763559
Ottey	0.0763475
"Frank Nobilo"	0.0761788
"Johan Museeuw"	0.076162
"Marco Pantani"	0.0760231
"Dong Jiong"	0.0760028
"Guo Jingjing"	0.0757803
"Kjetil Andre Aamodt"	0.0754848
Skinner	0.0754307
"Lance Armstrong"	0.0754279
"Mika Salo"	0.0751796
"Steve Elkington"	0.075138
"Simona Amanar"	0.0750227
Zuelle	0.0750141
"Davis Love III"	0.0748758
"Deon Hemmings"	0.0746552
"Sterling Marlin"	0.0744
Foyt	0.0743195
"Gail Devers"	0.0742944
"Claudia Pechstein"	0.0740315
"Hilde Gerg"	0.0738366
"Li Ju"	0.0734461
"Mark O'Meara"	0.0733634
"Picabo Street"	0.0731604
"Pavel Tonkov"	0.0731352
"Steve Jones"	0.0728111
Hakkinen	0.0724284
"Inger Miller"	0.0721992
"Johnny Tapia"	0.0721878
"Dottie Pepper"	0.0721127
Pantani	0.0718759
"Svetlana Masterkova"	0.0717717
Kjus	0.0715524
Ullrich	0.0712595
"Wang Chunlu"	0.0709815
"Winning Colors"	0.0707741
"Kieren Perkins"	0.0706166
"Shanghai Shenhua"	0.0705594
"Ge Fei"	0.0703708
"Tian Liang"	0.0703444
"Wang Nan"	0.0702847
Maier	0.0700454
"Tom Steels"	0.06975
"Elena Berezhnaya"	0.069457
"Rainer Schuttler"	0.0694296
"Martina Ertl"	0.0691643
Boardman	0.0691274
"Claudia Poll"	0.0690713
Franchitti	0.0686316
"Chicago Fire"	0.0684453
"Xiong Ni"	0.0683099
"Liu Xuan"	0.0681542
"Edie Falco"	0.0681109
"Kristen Maloney"	0.0676951
"Ralf Schumacher"	0.0676306
"Bayi Rockets"	0.0676295
"Allen Johnson"	0.0673842
Szabo	0.0672321
"Justin Leonard"	0.066676
"Tom Lehman"	0.0663498
"Nick Price"	0.0663403
"Kong Linghui"	0.0662742
"Ivan Ivankov"	0.0662644
))
("Billy Bob Thornton" (desc 4911.83) (sims
"Cate Blanchett"	0.15629
"Rupert Everett"	0.13959
"Matthew McConaughey"	0.120578
"Geoffrey Rush"	0.119391
"Julianne Moore"	0.119321
"Woody Harrelson"	0.11829
"Bill Pullman"	0.115304
"Michael Caine"	0.114628
"Alec Baldwin"	0.109077
"Geena Davis"	0.108474
"Billy Crudup"	0.108271
"Matt Damon"	0.107696
"Russell Crowe"	0.105696
"Glenn Close"	0.104302
"Ben Affleck"	0.103749
"Claire Danes"	0.103186
"David Duchovny"	0.102782
"Giovanni Ribisi"	0.0997668
"Susan Sarandon"	0.0963371
"Ian McKellen"	0.0962209
"Roberto Benigni"	0.0959826
"Charlize Theron"	0.0957477
"Janet McTeer"	0.0946254
"Denzel Washington"	0.093738
"Cuba Gooding Jr."	0.0925106
"Martin Sheen"	0.0921558
"Hilary Swank"	0.0917282
"Kevin Spacey"	0.0916769
"Nicolas Cage"	0.0910967
"Gillian Anderson"	0.0907908
"Antonio Banderas"	0.0907095
"Judi Dench"	0.090097
"Sean Penn"	0.0892482
"Rob Lowe"	0.0890219
"Robert Duvall"	0.0890003
"Dwight Yoakam"	0.0874536
"Richard Dreyfuss"	0.0852134
"Minnie Driver"	0.0845092
"Angelina Jolie"	0.0841436
"Joan Cusack"	0.0841002
"Kate Hudson"	0.083291
"Kim Basinger"	0.082988
"Michael Douglas"	0.0827462
"Jeremy Northam"	0.0820592
"Bill Murray"	0.0800706
"Dennis Quaid"	0.0797731
"Richard Gere"	0.0791932
"Jon Bon Jovi"	0.0789252
"Robert Redford"	0.0788492
"Halle Berry"	0.0787351
"James Van Der Beek"	0.0780618
"Steven Soderbergh"	0.0776812
"Omar Epps"	0.0773522
"Burt Reynolds"	0.0768821
"Meryl Streep"	0.0765113
"Hugh Grant"	0.0764632
"Cameron Diaz"	0.0764254
"Jon Voight"	0.0764
"Frances McDormand"	0.0763951
"John Travolta"	0.0756872
"Ben Stiller"	0.0755659
"Kate Winslet"	0.0749805
"Nigel Hawthorne"	0.0748532
"Joseph Fiennes"	0.074796
"Brad Pitt"	0.0746081
"Michael J. Fox"	0.0731489
"Helen Hunt"	0.0731134
"Ryan Phillippe"	0.0726395
"Jeremy Irons"	0.072362
"William Shatner"	0.0719399
"Robert DeNiro"	0.071556
"Tom Hanks"	0.0715135
"Leonardo DiCaprio"	0.071328
"Christian Slater"	0.0711906
"Jodie Foster"	0.0710562
"Nick Nolte"	0.0702318
"Gwyneth Paltrow"	0.0693839
"George Clooney"	0.0692768
"Kevin Bacon"	0.0691742
"Emily Watson"	0.0691284
"Kenneth Branagh"	0.0690955
"Winona Ryder"	0.0690857
"John Cusack"	0.0690726
"Brenda Blethyn"	0.0689376
"Jude Law"	0.0687331
"Matthew Broderick"	0.0681611
"Calista Flockhart"	0.0676811
"Wesley Snipes"	0.0673
"Tim Robbins"	0.0669864
"Stanley Tucci"	0.066966
"John Malkovich"	0.066225
"Joaquin Phoenix"	0.0661386
"Gabriel Byrne"	0.0653972
"Harvey Keitel"	0.064656
"Jennifer Love Hewitt"	0.0638896
"Brian Dennehy"	0.0638781
"Sharon Stone"	0.063609
"Gene Hackman"	0.0636054
"Christopher Reeve"	0.0627311
"Tom Selleck"	0.062702
"Ralph Fiennes"	0.0625315
"Edward Norton"	0.0624757
"Dennis Hopper"	0.0621791
"Donald Sutherland"	0.0621013
"William H. Macy"	0.062055
"Jack Nicholson"	0.0615849
"Andre Braugher"	0.0614884
"Robin Williams"	0.0613912
Thornton	0.061058
"Mark Wahlberg"	0.0609363
"Catherine Keener"	0.0602436
"Tracey Ullman"	0.0602068
"Jonathan Demme"	0.0601219
"Michael Clarke Duncan"	0.0600575
"Meg Ryan"	0.0599797
"Sean Connery"	0.0594181
"Jennifer Aniston"	0.0586256
"Tim Burton"	0.0585893
"Bruce Willis"	0.0585729
"Peter Fonda"	0.0583838
"Dustin Hoffman"	0.0583339
"Chow Yun-Fat"	0.0576606
"Chevy Chase"	0.057608
"Anthony Hopkins"	0.0575603
"Jennifer Lopez"	0.0575481
"Annette Bening"	0.0574915
"Kathy Bates"	0.0574793
"Famke Janssen"	0.0574526
"Sandra Bullock"	0.0571801
"Clint Eastwood"	0.0571727
"Taye Diggs"	0.0571576
"Sarah Jessica Parker"	0.0569441
"Stephen Rea"	0.0568148
"Johnny Depp"	0.0565039
"Anne Heche"	0.0558812
"Tom Cruise"	0.0558267
"Kevin Costner"	0.0558069
"Warren Beatty"	0.055756
"Jack Lemmon"	0.0557125
"Janeane Garofalo"	0.0553716
"Liam Neeson"	0.0553461
"Charlton Heston"	0.0553057
"Sela Ward"	0.055258
"Dennis Franz"	0.0544419
Dench	0.0543436
"Sam Mendes"	0.0537655
"Vanessa Redgrave"	0.0537328
"Sidney Poitier"	0.0536349
"Jessica Lange"	0.0532729
"Paul Newman"	0.0527759
"Gregory Peck"	0.0527243
"Brendan Fraser"	0.0525795
"David Spade"	0.0524444
"Ellen Burstyn"	0.052096
"Jeff Bridges"	0.0517816
"Edie Falco"	0.0514109
"Demi Moore"	0.0509505
"Ian Holm"	0.0506993
"AL PACINO"	0.0505689
"Steve Martin"	0.0504429
"Ethan Hawke"	0.0503957
"Kelsey Grammer"	0.0503749
"Liev Schreiber"	0.0501238
"Christopher Walken"	0.0501165
"Drew Barrymore"	0.0499278
"Garry Shandling"	0.0497975
"Bridget Fonda"	0.0497798
"Faye Dunaway"	0.0496528
"Arnold Schwarzenegger"	0.0495171
"Barry Levinson"	0.049305
"Jamie Foxx"	0.049302
"Liv Tyler"	0.0492663
"Harrison Ford"	0.0492567
"Ed Harris"	0.0489261
"Don Cheadle"	0.0486505
"Aidan Quinn"	0.048579
"Tommy Lee Jones"	0.048469
"Patricia Arquette"	0.0484677
"Jim Carrey"	0.0482553
"Samuel L. Jackson"	0.0480048
"Hidetoshi Nakata"	0.0478627
"Whoopi Goldberg"	0.0477489
Tucci	0.0476319
"Will Smith"	0.0476076
"Matt Dillon"	0.0474234
"Julie Taymor"	0.0473671
DiCaprio	0.0473357
"Billy Crystal"	0.0471782
"Stellan Skarsgard"	0.047151
"James Gandolfini"	0.0470324
"Steven Spielberg"	0.0469556
"Sylvester Stallone"	0.0468942
Damon	0.0466233
"Jimmy Smits"	0.0466228
"Jerry Seinfeld"	0.046586
"Camryn Manheim"	0.0465081
"Heather Graham"	0.046366
"Adam Sandler"	0.0463583
"Bette Midler"	0.0462951
"Keanu Reeves"	0.0462838
))
("Billy Crudup" (desc 3701.76) (sims
"Antonio Banderas"	0.159018
"John Cusack"	0.149377
"Sean Penn"	0.118487
"Bill Paxton"	0.115861
"Minnie Driver"	0.112195
"Billy Bob Thornton"	0.108271
"Matthew Perry"	0.103414
"Paul Rudd"	0.102896
"Tommy Lee Jones"	0.0996143
"Claire Danes"	0.0989955
"James Van Der Beek"	0.0951617
"Ethan Hawke"	0.0932219
"Juliette Lewis"	0.0912839
"Frances McDormand"	0.0898757
"Wesley Snipes"	0.0882435
"Alfre Woodard"	0.0880699
"Giovanni Ribisi"	0.0850379
"Rob Lowe"	0.0841649
"Gabriel Byrne"	0.0837709
"David Duchovny"	0.0828764
"Alicia Silverstone"	0.0827153
"Cuba Gooding Jr."	0.0816579
"Matthew McConaughey"	0.0813096
"Jon Voight"	0.0800363
"Kim Basinger"	0.0799771
"Omar Epps"	0.0798714
"Nick Nolte"	0.0797321
"Ellen DeGeneres"	0.0796864
"Tobey Maguire"	0.0787448
"Jenna Elfman"	0.0765614
"Nigel Hawthorne"	0.0763913
"Kate Winslet"	0.0758094
"Jay Mohr"	0.0747074
"Ted Danson"	0.0744137
"Nicolas Cage"	0.0738304
"Geena Davis"	0.0717002
"Woody Harrelson"	0.0716232
"Anne Heche"	0.0708995
"Cate Blanchett"	0.0687437
"Ed Harris"	0.0686999
"Ralph Fiennes"	0.0686214
"Richard Dreyfuss"	0.0685991
"Johnny Depp"	0.0681539
"Ben Affleck"	0.0673395
"Spencer Tracy"	0.0672765
"Elisabeth Shue"	0.0670277
"Tim Robbins"	0.0669297
"Patricia Arquette"	0.0666943
"Holly Hunter"	0.0665849
"George Clooney"	0.0650172
"Heather Graham"	0.0649975
"Winona Ryder"	0.0649478
"Martin Sheen"	0.0648962
"Rupert Everett"	0.0648402
"John Travolta"	0.0638863
"Christopher Reeve"	0.0637038
"Sidney Poitier"	0.0634272
"Russell Crowe"	0.0633176
"Julie Andrews"	0.0632624
"Robert Downey Jr."	0.0630258
"James Woods"	0.062278
"Sigourney Weaver"	0.0621998
"Uma Thurman"	0.0620966
"Vince Vaughn"	0.0617473
"Christian Bale"	0.0604717
"Willie Nelson"	0.0603343
"Henry Fonda"	0.0602557
"Sarah Michelle Gellar"	0.060026
"Matthew Broderick"	0.0599442
"Ian Holm"	0.0598052
"Geoffrey Rush"	0.0594425
"James Earl Jones"	0.0592474
"Kevin Bacon"	0.0591588
"Dan Hedaya"	0.0587849
"Robert DeNiro"	0.0585643
"Diane Keaton"	0.057916
"Martin Lawrence"	0.0576596
"Jamie Foxx"	0.0576072
"Stanley Tucci"	0.0575629
"Burt Lancaster"	0.0575589
"Kevin Kline"	0.057508
"Jessica Lange"	0.0573684
"Tom Selleck"	0.0570269
"John Leguizamo"	0.0568667
"Janet McTeer"	0.0568073
"Jeremy Northam"	0.0559689
"Keanu Reeves"	0.055597
"Michael Douglas"	0.0555169
"Jeremy Irons"	0.0552019
"Elizabeth Hurley"	0.0551752
"Kirk Douglas"	0.0550045
"Matt Damon"	0.0549791
"Laurence Fishburne"	0.0544726
"Michael Caine"	0.0544601
"Demi Moore"	0.0542791
"Sally Field"	0.053622
"Kate Hudson"	0.0530506
"Kirsten Dunst"	0.0529127
"Gillian Anderson"	0.0524605
"Catherine Deneuve"	0.0524247
"Edward Furlong"	0.0523304
"Chow Yun-Fat"	0.0522903
Cleese	0.0521364
"Janeane Garofalo"	0.0519012
"Aidan Quinn"	0.0517835
"Robert Redford"	0.0515428
"Taye Diggs"	0.0512236
"Halle Berry"	0.0508282
"William Hurt"	0.0508268
"Julianne Moore"	0.0508221
"Richard Burton"	0.0507765
"Samuel L. Jackson"	0.0507564
"Ashley Judd"	0.0505518
"Val Kilmer"	0.0502151
Costner	0.05015
"Sela Ward"	0.0501432
"Glenn Close"	0.0500332
"Adrien Brody"	0.0499954
"Ryan Phillippe"	0.0499864
"Leonardo DiCaprio"	0.0499653
"Melanie Griffith"	0.0499259
"Norm MacDonald"	0.0498722
"David Spade"	0.049657
"Pierce Brosnan"	0.0496384
"Ben Stiller"	0.0493988
"Vivien Leigh"	0.0492809
"AL PACINO"	0.0490917
"Alec Baldwin"	0.0488259
"Peter Fonda"	0.0482781
"Sylvester Stallone"	0.0482688
"James Cagney"	0.0482111
"Annette Bening"	0.0481596
"Brad Pitt"	0.0480895
"Hilary Swank"	0.0477041
"Ewan McGregor"	0.0476159
"Carol Burnett"	0.0475848
"Ally Sheedy"	0.0474777
"Albert Brooks"	0.0474165
"Vanessa Redgrave"	0.0472646
"Nathan Lane"	0.046996
"Christina Ricci"	0.0469497
"Mark Wahlberg"	0.0469293
"Bridget Fonda"	0.0467424
"Dame Judi Dench"	0.0464859
"Jack Lemmon"	0.0462302
"Chris Klein"	0.046092
"Bruce Willis"	0.0459839
rainmaker	0.0458598
"Clint Eastwood"	0.0457777
"Richard Gere"	0.0456838
"Natalie Portman"	0.0456738
"Emily Watson"	0.0448929
Kipketer	0.0443231
"Brian Dennehy"	0.0443014
"Nicole Kidman"	0.0442412
"Famke Janssen"	0.044193
"Jodie Foster"	0.0441727
"Sarah Jessica Parker"	0.0440633
"Joseph Fiennes"	0.0439998
"PHILIP SEYMOUR HOFFMAN"	0.0437863
"Dustin Hoffman"	0.0437663
"Natasha Richardson"	0.0434147
"Jimmy Stewart"	0.0433667
"Kevin Spacey"	0.0432061
"Kathleen Turner"	0.043167
"Steve McQueen"	0.0430706
"Chevy Chase"	0.0429698
"Gene Hackman"	0.0429672
"John Belushi"	0.0429007
"Bette Davis"	0.0428715
"Burt Reynolds"	0.0427309
"Dennis Quaid"	0.0427077
"Humphrey Bogart"	0.0426603
"Gregory Peck"	0.0425981
"Leelee Sobieski"	0.0425705
DiCaprio	0.0425185
"Gary Cooper"	0.0424381
Braugher	0.0423141
"Kevin Costner"	0.0421949
"Robert de Niro"	0.0421906
"Bill Pullman"	0.0421005
"Angelina Jolie"	0.0420571
"Stephen Rea"	0.042055
"Harvey Keitel"	0.0419041
"Jason Alexander"	0.0416865
"Renee Zellweger"	0.0415675
"Liv Tyler"	0.0415207
"Jennifer Love Hewitt"	0.0413836
"Brenda Blethyn"	0.0412614
"Patrick Stewart"	0.041105
Broderick	0.0410417
"Brendan Fraser"	0.0409455
"Oliver Platt"	0.0409011
"Ian McKellen"	0.0407404
"Tracey Ullman"	0.0406488
"Bernadette Peters"	0.0405435
"Joan Allen"	0.0405113
"Michelle Pfeiffer"	0.0404913
"Dan Aykroyd"	0.0404745
"Denis Leary"	0.0401677
))
("Billy Crystal" (desc 4192.65) (sims
"Whoopi Goldberg"	0.149621
"David Spade"	0.134677
"Jason Alexander"	0.133553
"Cuba Gooding Jr."	0.132884
"Chris Rock"	0.125604
"Steve Martin"	0.120645
"Rosie O'Donnell"	0.113372
"Garry Shandling"	0.111374
"Norm MacDonald"	0.108562
"Robin Williams"	0.102201
"AL PACINO"	0.101358
"Mike Myers"	0.0986385
"Eddie Murphy"	0.0963419
"Richard Pryor"	0.0942867
"Bill Cosby"	0.0919854
"Diane Keaton"	0.0867543
"Martin Lawrence"	0.0865678
"Barbra Streisand"	0.0859856
"Kim Basinger"	0.085185
"Michael Douglas"	0.0849193
"Christopher Reeve"	0.0848982
"Bette Midler"	0.0846408
"Taye Diggs"	0.084448
"Jerry Seinfeld"	0.0843692
"John Travolta"	0.0841797
"Tim Allen"	0.0821081
"Will Smith"	0.0812329
"Sidney Poitier"	0.0808808
"Regis Philbin"	0.079891
"Ving Rhames"	0.0797687
"Robert Duvall"	0.0793535
"Harvey Keitel"	0.0774149
"Demi Moore"	0.0768824
"Michelle Pfeiffer"	0.0768097
"Jeremy Irons"	0.0766763
"Glenn Close"	0.076616
"Meg Ryan"	0.0754709
"Mel Brooks"	0.0752882
"Jim Carrey"	0.0752525
"Adam Sandler"	0.0738777
"Oprah Winfrey"	0.0733522
"Bill Maher"	0.0733217
"George Burns"	0.0720528
"Richard Gere"	0.0720236
"Julia Roberts"	0.0719505
"Sean Penn"	0.0718691
"Jimmy Smits"	0.071852
"Katie Couric"	0.0718055
"Jack Nicholson"	0.0717197
"Kevin Costner"	0.0714531
"Walter Matthau"	0.0710226
"Ben Affleck"	0.0707941
"John Belushi"	0.0707429
"Jackie Chan"	0.0699521
"Sela Ward"	0.0695084
"Holly Hunter"	0.0692955
"Annette Bening"	0.0690461
"Geena Davis"	0.0690028
"Sylvester Stallone"	0.068918
"Jon Stewart"	0.0687391
"Chevy Chase"	0.0685571
"Tom Hanks"	0.0685021
"Dennis Miller"	0.0682534
"Nathan Lane"	0.0680095
"Dan Aykroyd"	0.0669467
"George Carlin"	0.0669164
"Rene Russo"	0.0668397
"Jay Leno"	0.0667486
"Richard Dreyfuss"	0.0666755
"James Woods"	0.0661951
"William H. Macy"	0.0659708
"Jodie Foster"	0.0658684
Benigni	0.0647673
"Matt Damon"	0.0644149
"Ted Danson"	0.064331
"PHILIP SEYMOUR HOFFMAN"	0.0640793
O'Donnell	0.0636348
"Russell Crowe"	0.0635901
"Morgan Freeman"	0.0634347
"Angelina Jolie"	0.0632446
"Kevin Spacey"	0.0628405
"Catherine Deneuve"	0.062822
"Al Franken"	0.0627774
"Wesley Snipes"	0.0627414
"Kathie Lee Gifford"	0.0626435
"Lauren Bacall"	0.062465
"Dustin Hoffman"	0.0621233
"Lucille Ball"	0.0609247
"Vanessa Redgrave"	0.0606923
"Bruce Willis"	0.0602529
"Whitney Houston"	0.0599712
Roseanne	0.059403
"Laura Schlessinger"	0.0582176
"Martin Scorsese"	0.0580629
"Michael Caine"	0.0579545
"Roberto Benigni"	0.0578439
"Stevie Wonder"	0.0573121
"Nicolas Cage"	0.0569517
"Andre Braugher"	0.0567975
Costner	0.0564463
"Edward Norton"	0.0564382
Tilberis	0.0563658
"William Shatner"	0.0562894
"Lily Tomlin"	0.0560698
"John Cleese"	0.0556377
"GLORIA ESTEFAN"	0.055424
"Goldie Hawn"	0.055313
"Christopher Walken"	0.0551036
"Renee Zellweger"	0.0549768
"Meryl Streep"	0.054786
"Paul Reiser"	0.0546882
"Brad Pitt"	0.0544295
"Tom Selleck"	0.0539421
Redgrave	0.053785
"Kevin Bacon"	0.0537172
"Geoffrey Rush"	0.053572
"Joan Rivers"	0.0534709
"Quincy Jones"	0.0534527
Philbin	0.0534215
"James Earl Jones"	0.0532214
"Bob Hope"	0.0531415
"Angela Bassett"	0.0530981
BANDERAS	0.0530363
"Parker Posey"	0.0529136
"Albert Brooks"	0.0527874
"Ewan McGregor"	0.0526841
"Jennifer Love Hewitt"	0.0522878
Carrey	0.0521523
"Don Imus"	0.052106
"Matt Dillon"	0.052084
"Harvey Weinstein"	0.0519308
"Frances McDormand"	0.0517462
"Danny Glover"	0.0515264
"Keanu Reeves"	0.0515168
"Chris Berman"	0.0512489
"John Goodman"	0.0512472
"Paul Newman"	0.0511728
"Brenda Blethyn"	0.0509412
"Mel Gibson"	0.0509005
"Jon Voight"	0.0504498
"Diana Ross"	0.0502744
"Matthew Perry"	0.0501573
"Sally Field"	0.0500816
"R. Kelly"	0.0499894
"Nick Nolte"	0.0498944
"Harrison Ford"	0.0498519
"Michael J. Fox"	0.0496456
"Jay Mohr"	0.0494909
"Charlton Heston"	0.0494741
"Woody Allen"	0.0493653
"Ellen DeGeneres"	0.0492226
Fiedler	0.0491937
"Susan Sarandon"	0.049099
"Nicole Kidman"	0.049098
"Tom Cruise"	0.0490108
"Kelsey Grammer"	0.0489362
"Samuel L. Jackson"	0.0488075
"Cameron Diaz"	0.0487899
"Gwyneth Paltrow"	0.0484816
"Andy Kaufman"	0.0483287
"Gary Cooper"	0.0482732
"Greg Kinnear"	0.0481915
"James Van Der Beek"	0.048069
"Marx Brothers"	0.0479551
"Gene Hackman"	0.047706
"Robert DeNiro"	0.0476829
"Drew Carey"	0.0475987
"Kirsten Dunst"	0.0475921
"Jennifer Lopez"	0.0474932
"Carol Burnett"	0.047453
Heyward	0.0474166
"Anne Bancroft"	0.0474027
"Billy Bob Thornton"	0.0471782
"Arnold Schwarzenegger"	0.0471558
Dench	0.0470237
Bech	0.0468953
Cosby	0.0468924
"Sarah Jessica Parker"	0.0467929
Berra	0.0465763
"Bryant Gumbel"	0.0465572
McEwan	0.0463868
Keaton	0.0463822
"Chow Yun-Fat"	0.0463127
"Boyz II Men"	0.0461204
"Mandy Patinkin"	0.0460863
Shandling	0.0460315
"Rob Lowe"	0.0459785
"David Letterman"	0.045955
Gooding	0.0459087
"Anthony Hopkins"	0.045666
"Jenna Elfman"	0.0454165
Sheedy	0.0453935
"Tim Russert"	0.0452888
"Warren Beatty"	0.0451843
"Bob Costas"	0.044968
"Sharon Stone"	0.0448586
"Kirk Douglas"	0.0445688
Beazley	0.0445381
"Ed Harris"	0.0445338
"Gillian Anderson"	0.044502
))
("Billy Davis" (desc 2527.4) (sims
"Raghib Ismail"	0.339053
"Ernie Mills"	0.311063
"James McKnight"	0.250178
"Michael Irvin"	0.23752
"Yancey Thigpen"	0.227706
"Everett McIver"	0.22038
"Rocket Ismail"	0.218655
"Jeff Ogden"	0.212651
"Eric Moulds"	0.202094
"David LaFleur"	0.199781
"Amani Toomer"	0.194415
"Peerless Price"	0.194316
"Jason Tucker"	0.193315
"Wane McGarity"	0.188931
"Daryl Johnston"	0.187178
"Ed McCaffrey"	0.186114
"Chris Warren"	0.185769
"Randall Godfrey"	0.183111
"Oronde Gadsden"	0.18178
"Jimmy Smith"	0.179609
"Tony Simmons"	0.170341
"Nate Newton"	0.166154
"Andre Rison"	0.1611
"Larry Allen"	0.159808
"Derrick Mayes"	0.159557
"Deion Sanders"	0.159173
"Windrell Hayes"	0.156754
"Shawn Jefferson"	0.156741
"Ike Hilliard"	0.155332
"Terance Mathis"	0.154539
"Antonio Freeman"	0.150235
"HERMAN MOORE"	0.148791
"Tony Martin"	0.147198
"Frank Sanders"	0.146299
"Rod Smith"	0.145835
"Erik Williams"	0.144905
"Emmitt Smith"	0.144463
"Chris Calloway"	0.143494
McGarity	0.142755
"Tim Brown"	0.140275
"Andre Reed"	0.139826
"J.J Stokes"	0.137228
"Leon Lett"	0.136467
"Isaac Bruce"	0.136325
"Eric Bjornson"	0.136202
"Terrell Owens"	0.133389
"Danny Farmer"	0.133389
"Dedric Ward"	0.133347
"Rob Moore"	0.131575
"R. Jay Soward"	0.129761
"Jimmy Oliver"	0.12771
"Carl Pickens"	0.12347
"Kevin Williams"	0.122778
McIver	0.121652
"Troy Aikman"	0.121346
"George Teague"	0.121255
"Randy Moss"	0.120971
"Torry Holt"	0.119778
"Jake Reed"	0.119735
"Michael Westbrook"	0.119504
Ismail	0.11859
"Wayne Chrebet"	0.116019
"Chris Taylor"	0.115879
"Joey Galloway"	0.115748
"Marvin Harrison"	0.114242
"Dez White"	0.112911
"Marcell Allmond"	0.112396
"Tim Dwight"	0.111532
"Darren Woodson"	0.11061
"Jerry Rice"	0.110408
"Troy Brown"	0.109712
"David Boston"	0.107863
"Jackie Harris"	0.105713
"Robert Brooks"	0.10429
"Jason Garrett"	0.10351
"Kevin Dyson"	0.101268
Irvin	0.100903
"Kareem Kelly"	0.100256
"Flozell Adams"	0.0979869
"Kevin Johnson"	0.0978035
"Kevin Smith"	0.0966528
"Derrick Alexander"	0.0944062
"Keyshawn Johnson"	0.0932056
"Vincent Brisby"	0.0919062
"Lynn Swann"	0.0905304
"Mark Tuinei"	0.089406
"Charlie Garner"	0.0865922
"Cris Carter"	0.084399
"Freddie Mitchell"	0.0839372
"Rae Carruth"	0.0831762
"Terry Glenn"	0.0829414
Galloway	0.0798424
McKnight	0.0792342
Toomer	0.0781727
"Eric Metcalf"	0.0773826
"Dave Campo"	0.0732023
"Dexter Coakley"	0.0725737
"Jermaine Lewis"	0.0720627
"Bobby Brown"	0.0717409
"O.J Santiago"	0.0714551
"Greg Ellis"	0.0705872
Gadsden	0.0702873
Chrebet	0.0695989
"Brian Poli-Dixon"	0.069284
Dwight	0.0684615
Ogden	0.0684165
Mathis	0.0683383
"Peter Warrick"	0.0681563
"Drew Bennett"	0.0674762
"Danny Kanell"	0.0669286
Pickens	0.064305
"Charles Johnson"	0.0631998
Aikman	0.0631367
"Roger Staubach"	0.0625769
"Shannon Sharpe"	0.0621358
McCaffrey	0.0609481
"Brad Miller"	0.0606673
"Tony Dorsett"	0.0606101
"Kevin Mathis"	0.0604833
"Mark Stepnoski"	0.060153
Fiedler	0.0595219
Godfrey	0.0590764
"Scott Thornton"	0.0587764
"Michael Jackson"	0.0587409
"Ben Coates"	0.0584656
"Chad Hennings"	0.0584592
"Charlie Williams"	0.0577886
"Kavika Pittman"	0.0574423
"Bobby Newcombe"	0.0567221
"Ebenezer Ekuban"	0.0557963
Lafleur	0.0556485
Emmitt	0.0547222
"John Vanbiesbrouck"	0.0542795
"Joe Kleine"	0.0540747
Dawkins	0.0538885
Orosco	0.0534631
"Kyle Brady"	0.0522082
"Glenn Foley"	0.0520749
"Steve Largent"	0.0517555
WARRICK	0.0517109
"Damon Huard"	0.0514028
"Ronnie Bradford"	0.051399
"Tiki Barber"	0.0512155
"Jeff Hornacek"	0.0510345
Brisby	0.0508849
"Doug Johnson"	0.0508607
downfield	0.0501427
"Jeff Blake"	0.0497648
Dyson	0.0493173
"Larry Centers"	0.0492042
McWilliams	0.0491103
"Trent Green"	0.0485877
Watters	0.0485431
McDuffie	0.0485337
"Doug Pederson"	0.048048
Solis	0.0477511
Loretta	0.0476595
Holt	0.0474457
LeClair	0.0472283
"Karim Abdul-Jabbar"	0.0472047
"Leon Johnson"	0.0471416
"Neil O'Donnell"	0.0471003
"Ante Razov"	0.0469117
"Alonzo Spellman"	0.046867
"Richard Matvichuk"	0.0467051
"Steve Beuerlein"	0.0465363
"Charles Woodson"	0.0464628
"Pat Rapp"	0.0462312
Kanell	0.0462261
Coates	0.0461366
"Bo Jackson"	0.0459879
"Quentin Coryatt"	0.0459227
Hayden	0.0458629
Grbac	0.0457995
Owens	0.0454603
Johnston	0.0453601
"Dave Wohlabaugh"	0.0450765
Garrett	0.0450491
"Cindy Parlow"	0.0450097
Laudrup	0.044835
"Herschel Walker"	0.0445648
"rainbow trout"	0.0443131
Marinovich	0.0441862
"Arturs Irbe"	0.0441636
"Brad Penny"	0.0441341
"Tony Carter"	0.043983
"Jason Elam"	0.0439152
Leetch	0.0434178
"Derek Harper"	0.043054
Newsome	0.0430405
"Manny Legace"	0.043035
Harbaugh	0.0429989
"Pedro Borbon"	0.0429636
"Curtis Martin"	0.0429232
"Ty Law"	0.0428196
"Darryl Sydor"	0.042752
"Sean Bergman"	0.0425912
"Ed Belfour"	0.0425033
"Dwight Clark"	0.0424414
"Shannon MacMillan"	0.0423877
))
("Billy Graham" (desc 4453.55) (sims
"Jerry Falwell"	0.124398
"Pat Robertson"	0.11653
"Robert F. Kennedy"	0.0851047
"Nelson Mandela"	0.081811
"A.P Indy"	0.0791843
"Charles Lindbergh"	0.07574
FALWELL	0.0724545
"Emperor Akihito"	0.0719876
"Martin Luther King III"	0.0719859
"James Dobson"	0.0710247
"President Kim Young-sam"	0.0667331
"King Fahd"	0.0653032
Pustovoitenko	0.0643743
Borodin	0.0642507
JAKES	0.0633652
"Julius Erving"	0.0617538
Cosby	0.0617516
"Martin Luther King"	0.0608772
"Al Sharpton"	0.0604907
Greenwald	0.0600106
"Bill Cosby"	0.0592248
"Queen Elizabeth II"	0.057365
"Martin Luther King Jr."	0.0570559
"Nat King Cole"	0.0567005
"Roundabout Theater Company"	0.0561123
McLaughlin	0.0556867
"Malcolm X"	0.0545812
cantor	0.0545638
Walesa	0.0544075
Bartholomew	0.0541408
"James Jones"	0.0541106
"Howard Hughes"	0.0539629
"Jacques Chirac"	0.0537109
Baer	0.0533243
"King Juan Carlos"	0.0528339
"King Sihanouk"	0.0527409
"Secretary of Defense"	0.0520238
Gores	0.0518508
"Michel Camdessus"	0.0516809
"Tipper Gore"	0.0516007
Ruehe	0.0515558
watchman	0.051411
"Humphrey Bogart"	0.0512875
"civil rights leader"	0.0512276
Sukarno	0.0510129
"Colin Powell"	0.0507776
Kenyon	0.0507344
pharaoh	0.0504816
serviceman	0.050429
"Ted Kennedy"	0.0504271
"Muhammad Ali"	0.0500331
"Alexis Herman"	0.0498229
"Albert Einstein"	0.0495892
"Henry Fonda"	0.0495402
Narayanan	0.0495238
"Rodney Slater"	0.0494432
Khomeini	0.0494199
"Edward M. Kennedy"	0.0492062
"Ron Brown"	0.0491667
"President Hafez Al-Assad"	0.049029
"King Abdullah II"	0.0488907
"Edward Kennedy"	0.0488631
"Ronald Reagan"	0.048806
"Seattle Slew"	0.0486219
evangelist	0.0486112
"Log Cabin Republicans"	0.0484624
"Saudi King Fahd"	0.0484377
"Winston Churchill"	0.0484366
"George Wallace"	0.0481791
"Eric Holder"	0.0481233
"coal miner"	0.0481053
RFK	0.0478949
Murayama	0.0478685
"Vernon Jordan"	0.0478453
"Jacqueline Kennedy Onassis"	0.04783
"Robert Kennedy"	0.0477994
"naval officer"	0.0477113
Meguid	0.0476752
"Vo Van Kiet"	0.0476654
"Spencer Tracy"	0.0475874
"Mario Cuomo"	0.0475599
sharecropper	0.0475239
"Lyndon B. Johnson"	0.0474692
"Tony Coelho"	0.0472036
"Victor Chernomyrdin"	0.0469572
Mandela	0.0468044
"David Sibandze"	0.046517
Lazaro	0.0465054
Weizman	0.0463509
"foreign service officer"	0.046339
Jenoff	0.0463329
"John J. Gotti"	0.0462953
"Richard Riley"	0.0460175
"National Security Adviser Sandy Berger"	0.0457996
"Jerry Brown"	0.0457544
"Bora Milutinovic"	0.0457511
Schottenheimer	0.0454802
Zuma	0.0453718
preacher	0.0453326
Camacho	0.0452801
clergyman	0.0452509
rabbi	0.0451973
Sihanouk	0.0451037
"Mikhail Gorbachev"	0.0450923
"Gerald Ford"	0.044941
Espinosa	0.0447617
"Pascoal Mocumbi"	0.0446093
Ivester	0.0445359
Qaddafi	0.0443661
"Boris Yeltsin"	0.0443358
Harrick	0.0442879
"Warren Christopher"	0.0442859
"Pope John Paul II"	0.0441093
"Queen Elizabeth"	0.0440329
Rockefeller	0.043834
"John Glenn"	0.0437398
"Herbert Hoover"	0.0435981
Whittingham	0.0435691
Carmichael	0.0435274
mailman	0.0434129
Picard	0.043393
Whaley	0.0433044
"Jesse Jackson"	0.0432623
"Fidel Castro"	0.0431833
"Jonathan Edwards"	0.0431619
"Ivan Kostov"	0.0431086
Lawler	0.0431052
"Fred Astaire"	0.0430285
"Jonas Savimbi"	0.0427573
"Dustin Hoffman"	0.0427388
Fiorina	0.0425835
Huizenga	0.0424961
Khrushchev	0.0424415
Osmond	0.0424009
"Cardinal John O'Connor"	0.042373
Ethel	0.0423595
"President Lee Teng-hui"	0.0422871
Kissinger	0.0422285
Ciampi	0.0421324
Sally	0.0421105
Rifkind	0.0420811
"Jordanian King Hussein"	0.0420491
"Dalai Lama"	0.041979
"Cindy McCain"	0.0419016
Kabariti	0.041747
"Omar Torrijos"	0.0416205
"Fatos Nano"	0.0416091
"Elvis Presley"	0.0416034
Camdessus	0.0415279
Gaston	0.0414534
Gurirab	0.0413948
"Moammar Gadhafi"	0.0413776
"Wlodzimierz Cimoszewicz"	0.0412871
"Woodrow Wilson"	0.0411354
"Valery Pustovoitenko"	0.0410745
"Chavalit Yongchaiyudh"	0.0410252
"Juan Miguel"	0.0409926
"Rosa Parks"	0.0408989
Demirel	0.0408908
"Newt Gingrich"	0.0408726
Hirohito	0.0407068
"De Soto"	0.0404835
"Chris Berman"	0.0403503
"Bob Hope"	0.0402925
"Roy Barnes"	0.0402867
"Jack Kevorkian"	0.0402256
Ftorek	0.0401469
Banharn	0.0400397
"Dale Bumpers"	0.0400387
"Tony Dorsett"	0.0400074
))
("Billy Hunter" (desc 3044.99) (sims
"Carol Bellamy"	0.268793
"Richie Phillips"	0.195319
"Michel Camdessus"	0.173705
Granik	0.171852
"Ralph Reed"	0.162745
"George Tenet"	0.15366
"Sandy Alderson"	0.137448
"Charles LaBella"	0.119012
"Ray Evernham"	0.11497
"Ronnie Flanagan"	0.114437
"Tom Welch"	0.109213
"Billy Payne"	0.108449
"Xie Zhenhua"	0.106528
"Barry McCaffrey"	0.106456
"Vladimiro Montesinos"	0.105303
"Xanana Gusmao"	0.104922
"Joel Klein"	0.101423
"Renato Ruggiero"	0.100867
"John Weaver"	0.098089
"Boris Fyodorov"	0.0959881
"John Browne"	0.0956037
"Mitt Romney"	0.0950724
"David Stern"	0.0941785
"Wolfgang Schaeuble"	0.0936188
"Mary Robinson"	0.0929311
"Wim Duisenberg"	0.0926349
"Nur Misuari"	0.0926124
"Louis Freeh"	0.0901419
"Bernie Ecclestone"	0.0892675
"Karen Hughes"	0.0849257
"Jack Valenti"	0.0842794
"Bruce Teitelbaum"	0.0821326
"Dan Schnur"	0.082084
"Lino Oviedo"	0.0810264
"Juan Antonio Samaranch"	0.0805655
"Gene Sperling"	0.0798209
"Barry R. McCaffrey"	0.0797086
"Dwight Clark"	0.0796891
"Robert Aventajado"	0.077809
"John J. Gotti"	0.0773811
"Gro Harlem Brundtland"	0.0762766
"Anatoly Chubais"	0.0761307
"Bernard Kouchner"	0.0760129
Reinsdorf	0.0758725
"Hashim Thaci"	0.0751237
Eliza	0.0745501
"Fehmi Agani"	0.0735803
"Bud Selig"	0.073393
"Bobby Grier"	0.0733143
"Sadako Ogata"	0.0731739
"Wayne LaPierre"	0.0710533
"John Taylor"	0.0705095
Portillo	0.0690844
"Isiah Thomas"	0.0690261
"Abu Mazen"	0.0681745
"Mike Moore"	0.0666265
Schaffer	0.0655636
"Joao Havelange"	0.0652864
"Rod Thorn"	0.0652071
"Rolf Ekeus"	0.0651197
"Sepp Blatter"	0.0651182
"Le Kha Phieu"	0.0649253
"Richard Butler"	0.0645693
"Shaul Mofaz"	0.0638401
"Alexander Lebed"	0.0638208
Hybl	0.0630381
"David Falk"	0.0629451
Tanaka	0.0624868
"Wes Craven"	0.0619786
"Pervaiz Musharraf"	0.0616555
"Frank Joklik"	0.0615462
"Horst Koehler"	0.0614365
"Hans Blix"	0.0610395
Prewitt	0.0605535
"Danny Yatom"	0.0603827
"Sam Mendes"	0.0603812
"J. Edgar Hoover"	0.0603698
"Leon Brittan"	0.060001
"Jacques Santer"	0.0597273
"Ansumane Mane"	0.0592223
"Gordon Brown"	0.0591447
"Bora Milutinovic"	0.0590378
"Gennady Zyuganov"	0.0589319
"Jacques Rogge"	0.0585325
Misuari	0.0581676
"Mahmoud Abbas"	0.0581137
Selig	0.0569075
"Stanley Fischer"	0.0567206
"William Walker"	0.0564792
"Tim Johnson"	0.056158
"Don Nelson"	0.0560189
"Pervez Musharraf"	0.0551674
Wiranto	0.0550616
Condon	0.0546811
"Mel Karmazin"	0.0546127
"Doc Rivers"	0.0545685
"Ahmed Qureia"	0.0542931
"Ratko Mladic"	0.0541887
Feldman	0.0541086
Siegel	0.0541015
"IG Metall"	0.0540654
"Barry Diller"	0.053961
"Martin McGuinness"	0.0539566
"Grigory Yavlinsky"	0.0539147
Rongen	0.0538693
"Foday Sankoh"	0.05385
Murayama	0.0535703
"Chea Sim"	0.0533759
DiCarlo	0.0533589
"Franz Beckenbauer"	0.0531949
"Jonathan Demme"	0.0531375
"Julie Taymor"	0.0531268
"Tony Coelho"	0.0527865
Moonves	0.0527525
"John Gotti"	0.0527281
Camdessus	0.0526905
Verney	0.0526512
Husseini	0.0526287
"Jeffrey Katzenberg"	0.0524401
Bettman	0.052313
"Tony Soprano"	0.0522149
"Jonas Savimbi"	0.0521467
"Sumner Redstone"	0.0521079
Barksdale	0.0520494
"Ariel Sharon"	0.0520277
"Salim Ahmed Salim"	0.0519191
"Ruud Gullit"	0.0518217
Tomjanovich	0.051701
"Buck Williams"	0.051369
"Tom Landry"	0.0512085
"Bill Lann Lee"	0.0511711
Milbury	0.0510393
"Colin Campbell"	0.0509542
"Wang Daohan"	0.050847
Broek	0.0507501
Upshaw	0.050595
NCEC	0.0505154
Tennant	0.0504501
"Michael Eisner"	0.0502017
"Yasser Abed Rabbo"	0.0501174
"Robert Wilson"	0.0500338
"Elia Kazan"	0.0499635
"David Smith"	0.0498219
"Dennis Scott"	0.0497425
"M. Douglas Ivester"	0.049633
"Ricardo Alarcon"	0.0495565
"Scott Harshbarger"	0.0494783
"George Robertson"	0.0494382
"Alexander Shokhin"	0.0494288
"Steven Soderbergh"	0.0494037
Milutinovic	0.0490607
"Mike Murphy"	0.0490448
"David Lynch"	0.0486481
"Akira Kurosawa"	0.0485001
"Nabil Shaath"	0.0483698
Freeh	0.0481633
"Vladimir Putin"	0.0480967
Ruehe	0.0478898
"Martin Luther King III"	0.0477694
"Rick Neuheisel"	0.0476297
Kessler	0.0476225
Luong	0.0475863
"Bobby Rahal"	0.0475249
Musharraf	0.0474229
Naumann	0.0474049
"Javier Solana"	0.0471446
Leghari	0.0470897
Shevardnadze	0.0466262
"Zoran Djindjic"	0.0463912
"Fayez Tarawneh"	0.0463742
Rudman	0.0463473
Klima	0.046305
Harmoko	0.0461429
"Kevin Malone"	0.0459357
"William Hague"	0.0458217
"Gulbuddin Hekmatyar"	0.0455912
Ribbeck	0.0454929
"Kim Yong Nam"	0.0454824
Difrancesco	0.0453868
"Robert E. Rubin"	0.0453251
"James Barksdale"	0.0452604
"Tom Johnson"	0.0451794
Shinn	0.0450707
Cortines	0.0450432
"Koo Chen-fu"	0.0448143
"Wesley Clark"	0.0447762
Venables	0.044747
O'Neil	0.0447111
"Neil LaBute"	0.044629
Schneider	0.0445046
Billick	0.0444693
Jarvis	0.0442829
Bulatovic	0.0442757
"John Koskinen"	0.0442705
"Jim Harrick"	0.0442504
Havelange	0.0442376
"Tim Floyd"	0.0442077
Wagoner	0.0440703
"Begum Khaleda Zia"	0.0440629
"Aslan Maskhadov"	0.0440425
))
("Billy Joel" (desc 3742.08) (sims
"Carly Simon"	0.181075
"Elton John"	0.169647
"Celine Dion"	0.164807
"Bruce Springsteen"	0.161776
"Whitney Houston"	0.159702
"Peter Gabriel"	0.14516
"Stevie Wonder"	0.143155
"Eric Clapton"	0.13447
"Shania Twain"	0.133278
"Michael Jackson"	0.133046
"Linda Ronstadt"	0.132724
"James Taylor"	0.131334
"Mariah Carey"	0.129357
"Bob Dylan"	0.12586
"George Harrison"	0.122512
"Sheryl Crow"	0.122271
"Tom Petty"	0.121772
"Boyz II Men"	0.120485
"Van Morrison"	0.11832
"Melissa Etheridge"	0.117976
"Sarah McLachlan"	0.117438
"George Michael"	0.117207
"Pink Floyd"	0.116733
"Jimmy Buffett"	0.116458
"Willie Nelson"	0.116307
"Clint Black"	0.115397
"Paul McCartney"	0.114794
"Rod Stewart"	0.11468
"Marvin Gaye"	0.11454
U@	0.113451
"Paul Simon"	0.112279
"John Mellencamp"	0.111009
"Phil Collins"	0.110385
"Andrea Bocelli"	0.10681
"LeAnn Rimes"	0.104113
"Ricky Martin"	0.10411
"Erykah Badu"	0.102878
"Tina Turner"	0.102631
"Jimi Hendrix"	0.101244
"Steely Dan"	0.101194
Madonna	0.101145
"Randy Newman"	0.0986208
"Bonnie Raitt"	0.0985616
"Reba McEntire"	0.098333
"Kirk Franklin"	0.0981196
"Loretta Lynn"	0.0980342
Cher	0.0969055
"John Lennon"	0.0968825
"Michael Bolton"	0.0966486
"Johnny Cash"	0.0956148
"Elvis Costello"	0.0949105
"David Bowie"	0.0948404
"Barbra Streisand"	0.0933303
"Rolling Stones"	0.0926615
"Black Sabbath"	0.0913066
AC/DC	0.091284
"Joan Baez"	0.0909824
"Aretha Franklin"	0.0904589
"Jon Bon Jovi"	0.0897548
"GLORIA ESTEFAN"	0.089648
"Christina Aguilera"	0.0895048
"B.B King"	0.0894353
"Mary J. Blige"	0.0893448
"Alanis Morissette"	0.0889711
"Shawn Colvin"	0.0881349
"Janet Jackson"	0.0878044
"Faith Hill"	0.0871472
"Pearl Jam"	0.0842417
"Lou Reed"	0.0830634
"Don Henley"	0.082841
"Lenny Kravitz"	0.0823629
"Britney Spears"	0.0817
"Chris Gaines"	0.0815173
"Joni Mitchell"	0.0812955
"Backstreet Boys"	0.0812
"Marilyn Manson"	0.0801623
Selena	0.0792155
"Garth Brooks"	0.0790651
"Dwight Yoakam"	0.0788117
"Tom Jones"	0.0786858
"Vince Gill"	0.0780121
"Woody Guthrie"	0.0779267
"Lauryn Hill"	0.0777754
Aerosmith	0.0760077
"Dave Matthews Band"	0.0755507
"Emmylou Harris"	0.0750387
Bjork	0.0747843
"Luciano Pavarotti"	0.0746795
"Alan Jackson"	0.0739107
"James Brown"	0.0737073
"Trisha Yearwood"	0.0713767
R.E.M	0.0692729
"Patti Smith"	0.0687011
"Neil Young"	0.0686546
"Dixie Chicks"	0.0683889
"Spice Girls"	0.0674093
"R. Kelly"	0.067343
"George Strait"	0.0670753
"Marc Anthony"	0.0669606
Joel	0.0666396
"Tony Bennett"	0.0663883
TLC	0.0653383
"Steve Earle"	0.0652658
"Tom Waits"	0.065021
Springsteen	0.0646116
"N Sync"	0.0642612
"Jim Morrison"	0.0640987
"Carlos Santana"	0.0640441
"Janis Joplin"	0.0636622
"Grateful Dead"	0.0636424
"Bette Midler"	0.0635652
"Will Smith"	0.0619547
"Dave Matthews"	0.0617367
Bono	0.0613706
"Bob Marley"	0.0612214
"George Jones"	0.0611087
"Diana Krall"	0.0601875
"Diana Ross"	0.0600845
"E Street Band"	0.0599805
"Puff Daddy"	0.0598045
"Dolly Parton"	0.0592024
"Frank Sinatra"	0.0584364
Babyface	0.0580584
"Macy Gray"	0.0573134
"Van Halen"	0.0569474
Beatles	0.0563357
"Brian Wilson"	0.0560344
"Dizzy Gillespie"	0.0557062
"Beach Boys"	0.0545083
"Toni Braxton"	0.0543351
"Foxy Brown"	0.0539054
Shatner	0.0532459
"Vanessa Williams"	0.0529425
"Smashing Pumpkins"	0.0525162
"Josephine Baker"	0.052471
Beck	0.0523399
"Beastie Boys"	0.0520111
"Coretta Scott King"	0.0516687
Twain	0.0513069
Metallica	0.051261
"Merle Haggard"	0.0512161
"Red Hot Chili Peppers"	0.0508521
"Led Zeppelin"	0.0504857
Eminem	0.0500008
REM	0.0498927
"Harry Belafonte"	0.0496468
"Ruben Blades"	0.0496248
"Placido Domingo"	0.0495668
"Sonny Bono"	0.0495557
"Bing Crosby"	0.0494391
"Tim McGraw"	0.0493713
Presley	0.0493199
RuPaul	0.04911
"Billie Holiday"	0.0490804
"Magic Johnson"	0.0488743
"Lyle Lovett"	0.0487937
"Tammy Wynette"	0.0486892
"Mick Jagger"	0.0483064
"Robin Williams"	0.0481848
Wynonna	0.0478449
"Fleetwood Mac"	0.0478441
"George Gershwin"	0.0474857
"Natalie Cole"	0.0473797
"Tin Pan Alley"	0.0473243
brandy	0.0472304
"Bill Cosby"	0.046902
Korn	0.0466392
D'Angelo	0.0466293
"Ray Charles"	0.0461834
"Burt Bacharach"	0.0446168
"Elvis Presley"	0.0445188
"Tom Brokaw"	0.044418
Phish	0.043976
Dre	0.0436078
"Kurt Cobain"	0.0434692
"Wyclef Jean"	0.0431823
"Rob Thomas"	0.042957
"William Shatner"	0.0429392
Marley	0.0425308
"Ted Koppel"	0.0421517
"Itzhak Perlman"	0.042011
DMX	0.0416824
BRITNEY	0.041682
Clapton	0.0415936
"Chrissie Hynde"	0.0414301
Donny	0.0410905
"Dean Martin"	0.0408482
Aida	0.0405095
"Quincy Jones"	0.0404438
"belly dancer"	0.0401813
Eurythmics	0.04007
))
("Billy Knight" (desc 1178.42) (sims
"Ryan Bailey"	0.458975
"Ray Young"	0.457793
"Rico Hines"	0.424517
"JaRon Rush"	0.323364
"Earl Watson"	0.317085
"Matt Barnes"	0.281186
"Sean Farnham"	0.247331
"Jerome Moiso"	0.24156
"Jason Kapono"	0.232871
"Dan Gadzuric"	0.227539
"Jeff Trepagnier"	0.182654
"Baron Davis"	0.174061
"Ryan McCann"	0.159592
"Brandon Granville"	0.155965
"Ken Kocher"	0.146266
Gadzuric	0.142752
Moiso	0.139913
"Michael Redd"	0.138939
"Brian Scalabrine"	0.125033
"Bonzi Wells"	0.121019
"Marques Anderson"	0.119515
"Dion Glover"	0.113631
"Tony Hutson"	0.112169
"Jaren Jackson"	0.11178
"Voshon Lenard"	0.110172
"Marcus Outzen"	0.109609
"Drew Bennett"	0.108759
"Sultan McCullough"	0.105879
"Khalid El-Amin"	0.101154
"Brian Shaw"	0.100475
"Eric Piatkowski"	0.100317
"Eddie House"	0.100136
"Bobby Phills"	0.0977057
"Jimmy Oliver"	0.0972011
"Kris Clack"	0.0970111
"Cory Paus"	0.0962995
"Michael Booker"	0.0962454
"Ryan Kealy"	0.0954063
"Terry Porter"	0.0952094
"Dale Ellis"	0.0938739
"Tariq Abdul-Wahad"	0.093839
"Toby Bailey"	0.0936962
"Eric Murdock"	0.0935862
"Drew Henson"	0.0928842
"Matt Santangelo"	0.0923382
"Travis Best"	0.0921622
"Eric Snow"	0.0915703
"Mike Miller"	0.0915471
"David Wesley"	0.0899288
"Doug Christie"	0.089832
"Major Applewhite"	0.0894484
"Heath Irwin"	0.0889455
"Jumaine Jones"	0.0883009
"Jermaine Lewis"	0.0878309
"Brevin Knight"	0.0870721
"Shandon Anderson"	0.0870004
"Rex Chapman"	0.0867172
"Sherman Douglas"	0.086508
"Larry Hughes"	0.0863286
"William Avery"	0.0857283
"Bryce Drew"	0.0841863
"Anthony Johnson"	0.0839406
"Ryan Roques"	0.0825405
"Freddie Mitchell"	0.0820307
"Nick Anderson"	0.0818449
"Courtney Alexander"	0.0816259
"Gary Trent"	0.0809227
"Mike Van Raaphorst"	0.080695
"Jelani McCoy"	0.0803917
"Kevin Johnson"	0.0799392
"Greg Anthony"	0.0798748
"Michael Vick"	0.0797314
"Richard Jefferson"	0.0795893
"Erick Barkley"	0.079581
"Michael Wright"	0.0794807
"Dez White"	0.0779843
"DeShaun Foster"	0.0779076
"Dan Majerle"	0.0775748
"Michael Finley"	0.0767896
"Bobby Newcombe"	0.0762433
"CORIE BLOUNT"	0.0756725
"Eric Whitfield"	0.0755503
"Derek Fisher"	0.0752963
flanker	0.0751588
"Shammond Williams"	0.0747159
"Gene Williams"	0.0745952
"Tamika Catchings"	0.0737354
"Quincy Carter"	0.0732137
"Jeff Hornacek"	0.0727912
"Chris Carrawell"	0.0724782
"Ron Artest"	0.0720282
"Robert Pack"	0.0718804
"Hu Weidong"	0.0715961
"Wayne Turner"	0.0710683
Kapono	0.0706806
"Kerry Kittles"	0.070634
"GERONIMO BERROA"	0.069997
"Bob Sura"	0.0685342
"Trajan Langdon"	0.0684362
"Tony White"	0.0684023
"Hubert Davis"	0.0683961
"Mark Williams"	0.0683605
"Jim Jackson"	0.0677504
"Darrick Martin"	0.0675685
"Dennis Scott"	0.0673711
"Shane Battier"	0.0672002
"Brian Skinner"	0.0664998
"Gabe Muoneke"	0.0663022
"Brent Barry"	0.0662346
"Brent Price"	0.0662054
"Rashard Lewis"	0.0661637
"Richard Hamilton"	0.0659483
"Ukari Figgs"	0.0659109
"Hersey Hawkins"	0.0658083
"B.J Armstrong"	0.0657129
"Michele Timms"	0.0652702
"Teresa Weatherspoon"	0.0652386
"Steve Kerr"	0.0649544
"Solomon Page"	0.0647599
"Joe Dumars"	0.064744
"Lamar Odom"	0.0647114
"Pete Holland"	0.0646223
"Jamal Mashburn"	0.0640614
"Ryan Nece"	0.0638486
"Chris Warren"	0.0637791
"Derek Harper"	0.0635547
"Clarence Weatherspoon"	0.0630996
"Chris Simms"	0.0628334
"Matt Maloney"	0.0627768
"Jarvis Turner"	0.0627575
"Keith Brown"	0.0626315
"Clifford Robinson"	0.062439
"Lamond Murray"	0.061898
"Jalen Rose"	0.0617056
"Rick Fox"	0.0615117
"Jerome Kersey"	0.0611796
"Michael Dickerson"	0.0611466
"Charlie Williams"	0.0610295
"Charlie Ward"	0.0606582
jinx	0.0605557
"Jim Druckenmiller"	0.059846
"Howard Eisley"	0.0597682
"LaPhonso Ellis"	0.0593894
"Chauncey Billups"	0.0592964
"Danny Fortson"	0.0592243
"Sam Mack"	0.0591852
walk-on	0.0590876
"Nate Newton"	0.0590471
"Chris Childs"	0.0588555
"Kendall Gill"	0.0588415
"Bruce Bowen"	0.0587545
"Antonio Daniels"	0.0587198
"Chris Weinke"	0.058644
"Derek Anderson"	0.0585926
"Tracy McGrady"	0.0585618
"Carson Palmer"	0.0583622
"Bruce Matthews"	0.0583487
"Reggie Miller"	0.0583334
STALEY	0.0582362
"Randy Brown"	0.0581696
"Otis Thorpe"	0.0580827
"Jamal Lewis"	0.0579095
"Bimbo Coles"	0.0578846
"Robert Horry"	0.0578597
"Jason Terry"	0.0576285
Speedster	0.0575357
"Ruben Patterson"	0.057509
"George McCloud"	0.0574788
"Isaiah Rider"	0.0573515
"Dana Barros"	0.0573205
"Vernon Maxwell"	0.0571959
"Austin Croshere"	0.0571076
"Dawn Staley"	0.0564991
"Rodney Rogers"	0.0562272
"John Wallace"	0.0562227
"Steve Smith"	0.0559401
"Everett McIver"	0.0556062
"Rod Strickland"	0.0555654
"Antoine Carr"	0.0554965
"Keith Brooking"	0.0554212
"Ruben Rivera"	0.0553581
Toombs	0.0553161
"Todd Rucci"	0.0552355
"Walt Williams"	0.055111
"Danny Farmer"	0.0547673
"Sam Clancy"	0.0546016
"Shane Dronett"	0.0544735
"Samaki Walker"	0.0542556
"Kurt Thomas"	0.0541081
"Ron Mercer"	0.0538589
"Milan Hejduk"	0.0538584
"Alan Henderson"	0.0537065
"Darrell Armstrong"	0.0536934
"Tyronn Lue"	0.0535659
"Ricky Moore"	0.0535316
"Max Lane"	0.0534276
"Bill Haselman"	0.0533954
"Damon Stoudamire"	0.0533393
"Mookie Blaylock"	0.0532426
"Harry Kewell"	0.0531233
))
("Billy Martin" (desc 1748.56) (sims
"Jim Leyland"	0.187688
"Whitey Ford"	0.174161
"Don Baylor"	0.151733
"Terry Collins"	0.142392
"Mickey Mantle"	0.13744
"Bruce Teitelbaum"	0.133647
"Jim Thomas"	0.13325
"Buck Showalter"	0.132659
"Reggie Jackson"	0.131371
"Lou Piniella"	0.126383
"Mike Hargrove"	0.125726
"Tim Johnson"	0.124237
"Shelly Finkel"	0.124205
"Tony La Russa"	0.116566
"Lou Gehrig"	0.113957
"Hank Aaron"	0.108217
"Willie Mays"	0.104903
"Gregory Craig"	0.104894
Snider	0.10447
"Johnny Oates"	0.104232
"Yogi Berra"	0.101236
"Ty Cobb"	0.100469
"Mike Schmidt"	0.100074
"Mike Scioscia"	0.0994673
"Robert Bennett"	0.0992074
"Tom Kelly"	0.0990745
"Bobby Valentine"	0.0977773
"Don Zimmer"	0.0971272
"Stan Musial"	0.0970759
"Joe DiMaggio"	0.0963481
"Davey Johnson"	0.0954666
"Tom Lasorda"	0.0954457
"Ramsey Clark"	0.0916754
"Bobby Cox"	0.091405
"Dusty Baker"	0.089911
"Jimy Williams"	0.086441
"David Kendall"	0.0863097
"Felipe Alou"	0.0861659
"Joe Torre"	0.0857835
"Tommy Lasorda"	0.0852727
"Tony Coelho"	0.0842341
"Jimmie Foxx"	0.0798494
Robson	0.0786416
"Glenn Hoffman"	0.0780715
"Ted Williams"	0.0763688
"Roger Maris"	0.0761111
"Abbe Lowell"	0.075542
"Pete Rose"	0.0738421
"Glenn Hoddle"	0.0732732
"David Boies"	0.0729958
"Warren Spahn"	0.0716788
"Charles Ruff"	0.0710143
"Honus Wagner"	0.069265
"Kevin Keegan"	0.068746
Maris	0.0678911
"Bill Russell"	0.0663227
"Connie Mack"	0.0653414
"Carl Yastrzemski"	0.0651569
"Dave Winfield"	0.0636325
Munson	0.0634738
"Michael Kennedy"	0.0634227
"Johnny Bench"	0.0631847
Berra	0.0614064
"Frank Robinson"	0.0598098
"Bob Feller"	0.0589866
"Tom Seaver"	0.0571148
"Roberto Clemente"	0.0559264
"Duke Snider"	0.055832
"Jack Dempsey"	0.0549782
"Alex Ferguson"	0.0542222
"Harry Sinden"	0.0535519
"William Neukom"	0.0535144
Isringhausen	0.0533108
"Sandy Koufax"	0.053288
"Mel Stottlemyre"	0.053164
"Rick Neuheisel"	0.0516468
"Walter Johnson"	0.051481
"Lee Atwater"	0.0508731
Taubman	0.0506513
"Dwight Gooden"	0.0501066
"Davey Lopes"	0.0500563
"Joint Liaison Group"	0.0500076
"Asa Hutchinson"	0.0498345
"Henry Kissinger"	0.0498256
"Don Nelson"	0.0498214
"Ruud Gullit"	0.0497033
Hindenburg	0.0494003
"Roy Campanella"	0.0493841
Ftorek	0.0488702
"Jackie Robinson"	0.0486414
Strauss-Kahn	0.048403
"Anne Heche"	0.0480131
"Eddie Mathews"	0.0479127
"Richie Phillips"	0.0476752
"Gianluca Vialli"	0.0476681
Sponeck	0.0473009
"Bora Milutinovic"	0.0472933
Nicol	0.0470891
Romar	0.0462166
"Dave Cowens"	0.0459392
Stubbs	0.0458588
Catacosinos	0.0458533
"Martin Frankel"	0.0457323
Sununu	0.0454118
"Gary Brown"	0.0445213
Phil	0.0445104
"Thurgood Marshall"	0.0444796
Magaziner	0.0442294
"Carlton Fisk"	0.0440515
"Happy Valley"	0.0440098
Olson	0.0437091
"guardian angel"	0.0435774
Esposito	0.0429097
"Carol Burnett"	0.0427953
"Frank Joklik"	0.0425395
"John Williams"	0.0424613
"Bobby Knight"	0.0422956
"Lindsey Graham"	0.0422404
"Dave Stewart"	0.0418436
"Nashville Predators"	0.0417574
Warshaw	0.0414453
"Karl Rove"	0.0413278
Leyland	0.0411413
Schnyder	0.0410907
"solicitor general"	0.0407329
Bogart	0.0403792
"Mike Murphy"	0.0402661
"April Oliver"	0.0402408
"Eric Davis"	0.0401354
))
("Billy Mayfair" (desc 2652.84) (sims
"Steve Elkington"	0.276723
"Jim Furyk"	0.265267
"Jeff Maggert"	0.260036
"Jeff Sluman"	0.254999
"Ernie Els"	0.251026
"Vijay Singh"	0.250962
"Lee Janzen"	0.241309
"Loren Roberts"	0.234091
"Nick Price"	0.233913
"Tom Lehman"	0.224421
"Mark O'Meara"	0.223102
"Davis Love III"	0.21324
"Fred Couples"	0.208432
"Phil Mickelson"	0.20678
"Scott Hoch"	0.205872
"Justin Leonard"	0.203285
"Davis Love"	0.198211
"Bob Tway"	0.19684
"Stuart Appleby"	0.192664
"Hal Sutton"	0.190962
"Chris Perry"	0.188909
"Mark Brooks"	0.18746
"Mark Calcavecchia"	0.18737
"John Daly"	0.18522
"Steve Pate"	0.184447
"Brad Faxon"	0.18167
"Bob Estes"	0.175443
"Colin Montgomerie"	0.174416
"Carlos Franco"	0.1724
"Olin Browne"	0.171802
"Steve Jones"	0.171663
"Jesper Parnevik"	0.17149
"David Duval"	0.164824
"Greg Norman"	0.158892
"Payne Stewart"	0.15867
"Corey Pavin"	0.157986
"Lee Westwood"	0.155649
"Fred Funk"	0.1538
"John Huston"	0.1504
"Frank Nobilo"	0.147939
"Craig Parry"	0.14124
"Paul Azinger"	0.140646
"Bernhard Langer"	0.136902
"Tom Watson"	0.135943
"Nick Faldo"	0.135389
"Ben Crenshaw"	0.133798
"Sergio Garcia"	0.133751
"Steve Stricker"	0.129084
"Larry Mize"	0.126993
"Jose Maria Olazabal"	0.126692
"Rocco Mediate"	0.122117
"Tiger Woods"	0.121423
"Shigeki Maruyama"	0.121
"HANK KUEHNE"	0.119256
"Tim Herron"	0.117877
"Peter Jacobsen"	0.117164
"David Frost"	0.112623
"Stewart Cink"	0.112158
"Paul Lawrie"	0.107042
"Tom Kite"	0.104857
"Kirk Triplett"	0.103569
"Craig Stadler"	0.100326
O'Meara	0.100233
"Bill Glasson"	0.0987375
"Matt Kuchar"	0.0985728
"J.P. Hayes"	0.098062
"Curtis Strange"	0.09461
"Hale Irwin"	0.0938827
Maggert	0.0935208
Mayfair	0.0927467
"Jay Haas"	0.091971
Janzen	0.0918589
"Annika Sorenstam"	0.0918166
"Casey Martin"	0.0858307
"Dottie Pepper"	0.0815085
"Mike Weir"	0.0812496
"Bruce Fleisher"	0.0801686
Montgomerie	0.0799631
"Andrew Magee"	0.0790458
"Elvis Stojko"	0.0781428
"John Cook"	0.0764832
"Bjarne Riis"	0.0753367
"Darren Clarke"	0.0752276
"Garry Kasparov"	0.0750856
"Miguel Indurain"	0.074521
"Ian Woosnam"	0.0741599
Mallon	0.0726929
Mickelson	0.0722453
Yagudin	0.0716131
Duval	0.070657
"Jack Nicklaus"	0.0704764
Faldo	0.0702974
"Brian Watts"	0.0693496
"Laura Davies"	0.0688957
"Answer Lively"	0.0680224
"Eddie Cheever"	0.0679322
"Marco Pantani"	0.067722
Parnevik	0.0676496
"Jim Colbert"	0.0674106
"Meg Mallon"	0.0673223
"Se Ri Pak"	0.0672268
Bruguera	0.0666051
"Liselotte Neumann"	0.0665093
"Miguel Angel Jimenez"	0.0663119
"Alex Zanardi"	0.0659064
"Gil Morgan"	0.0657489
"Alexei Yagudin"	0.0654554
"Fu Mingxia"	0.065437
Pippig	0.0640732
"Moses Tanui"	0.062502
"Larry Nelson"	0.0619522
"Kenny Brack"	0.0617868
el	0.0613972
"Andrew Coltart"	0.0612342
"Thomas Bjorn"	0.0607075
"Fatuma Roba"	0.060487
"Blaine Wilson"	0.0603831
"Billy Andrade"	0.0601734
"Derrick Adkins"	0.0597885
Karlsson	0.0596157
"Juli Inkster"	0.0593089
Tanui	0.0592781
Sainz	0.0576843
"Kostya Tszyu"	0.0576003
Stricker	0.057008
Lehman	0.0564801
"Gary Player"	0.0563683
"Karrie Webb"	0.0561189
"Richard Krajicek"	0.0556306
Furyk	0.0552359
Pantani	0.0550111
Ottey	0.0540809
Neumann	0.0540072
Olazabal	0.0538526
"Pavel Tonkov"	0.053527
III	0.0532288
"Jeff King"	0.053228
Appleby	0.0530787
Popov	0.0530768
Karpov	0.0528998
BEGAY	0.0528054
Leonard	0.0522687
"Jon Drummond"	0.0520987
"Oksana Kazakova"	0.0520926
Singh	0.0520202
Makinen	0.0517552
Luyendyk	0.0512528
Wiberg	0.050921
"Michael Weiss"	0.0508159
"Oliver McCall"	0.0505305
"Alexei Urmanov"	0.0501773
"Elena Berezhnaya"	0.0500045
"Chicago Fire"	0.0499709
"Juha Kankkunen"	0.0498828
"Billy Boat"	0.0497788
Ullrich	0.0496946
"Justin Rose"	0.0492917
Sautin	0.0491375
"Todd Eldredge"	0.0490924
"Koji Ito"	0.0490671
"Chris Boardman"	0.0489835
Boldon	0.0489031
Kuchar	0.0488998
"Gary Hall Jr."	0.0488567
"Vanessa Atler"	0.048736
"Hiroyasu Shimizu"	0.0480344
"Olympiakos Piraeus"	0.0478622
Hentgen	0.0476985
"Wang Chunlu"	0.0476377
"Kristen Maloney"	0.0475584
Inkster	0.0475454
"Johan Museeuw"	0.0473653
"Tom Steels"	0.0472795
"Padraig Harrington"	0.0472246
"Sonia O'Sullivan"	0.0470164
"Arie Luyendyk"	0.0468466
Longo	0.0466985
Kjus	0.0465848
Nicklaus	0.0464256
"Yevgeny Kafelnikov"	0.0463472
"Gunda Niemann-Stirnemann"	0.0460676
"Jana Novotna"	0.0460659
"Gene Sarazen"	0.0460523
"Lemon Drop Kid"	0.0460273
"Pernilla Wiberg"	0.0459947
Langham	0.0459613
"Colin McRae"	0.0458994
"Zoran Primorac"	0.0458113
"Lennox Lewis"	0.0456513
"Michael Von Gruenigen"	0.0456005
"Paul Tergat"	0.0455157
Pate	0.045272
Klim	0.0451349
"Lasse Kjus"	0.0450694
"Ivan Ivankov"	0.045024
"Arnold Palmer"	0.0449793
"Patrick Rafter"	0.0448634
"Johnny Tapia"	0.0447974
Mantilla	0.0447302
"Jorgen Persson"	0.0447267
))
("Billy Owens" (desc 2931.64) (sims
"Don Maclean"	0.240455
"Detlef Schrempf"	0.233415
"Dale Ellis"	0.221836
"Hersey Hawkins"	0.155023
"Otis Thorpe"	0.153337
"Ruben Patterson"	0.150802
"Olden Polynice"	0.142504
"Shandon Anderson"	0.140911
"Brent Barry"	0.136708
"Sam Perkins"	0.129905
"Devean George"	0.123209
"Aaron Williams"	0.120938
"Corliss Williamson"	0.118902
"Richard Jefferson"	0.114833
"Danny Manning"	0.114714
"Cedric Ceballos"	0.114044
"Jarvis Turner"	0.112348
"Dan Majerle"	0.111814
"Terry Porter"	0.111487
"Gary Trent"	0.109705
"Walt Williams"	0.109324
"Doug Christie"	0.108888
"George McCloud"	0.108272
"Dennis Scott"	0.107144
"Samaki Walker"	0.106839
"Rico Hines"	0.105912
"Raef LaFrentz"	0.105281
"Paul Pierce"	0.102605
"John Wallace"	0.102267
"Clarence Weatherspoon"	0.101933
"Jerome Kersey"	0.101558
"Vin Baker"	0.100601
"Antawn Jamison"	0.100227
"Grant Long"	0.100038
"Bruce Bowen"	0.0999276
"Tim Thomas"	0.0996579
"Richard Hamilton"	0.0971844
"Sam Mack"	0.0971585
"Jelani McCoy"	0.0963331
"Kris Clack"	0.0963111
"Chris Mills"	0.0953759
"Tracy McGrady"	0.094721
"Pat Garrity"	0.0944501
"J.R Reid"	0.0940827
"Rodney Rogers"	0.0931319
"Doug Pederson"	0.0922141
"Chris Porter"	0.091442
"Shawn Marion"	0.0911834
"Doug Gilmour"	0.0911622
"Matt Bullard"	0.0909925
"Alan Henderson"	0.0907133
"Othella Harrington"	0.0905512
"Clifford Robinson"	0.0894321
"Chris Crawford"	0.088429
"Wendel Clark"	0.0872001
"Vince Carter"	0.0871799
"Austin Croshere"	0.0870493
"Mike Miller"	0.0867676
"Christian Laettner"	0.0867644
"Ron Mercer"	0.0867327
"Derrick Coleman"	0.0861621
"Dale Davis"	0.0861182
"Horace Grant"	0.0858698
"Tony Massenburg"	0.0854723
"P.J Brown"	0.0848162
"John Vanbiesbrouck"	0.0846751
"Michael Finley"	0.0845094
"Rick Fox"	0.084158
"Derek Harper"	0.0841132
"SCOTT BURRELL"	0.0840796
"Mitch Richmond"	0.08374
"Gary Payton"	0.0835314
"Joe Smith"	0.0831881
"Manny Legace"	0.0829414
"Theo Fleury"	0.0828815
"Travis Knight"	0.0825351
"Alexei Kovalev"	0.0823706
"Lamond Murray"	0.0823205
"Glen Rice"	0.0814307
"Chris Carrawell"	0.0813719
"Donyell Marshall"	0.0810993
"Kendall Gill"	0.0810062
"Danny Fortson"	0.0803746
"Jerry Stackhouse"	0.0794614
"Jim Jackson"	0.0790714
"Mark Bryant"	0.0789854
"Tariq Abdul-Wahad"	0.0788541
"Jaren Jackson"	0.0784315
"Alen Boksic"	0.0782661
"Raghib Ismail"	0.0782402
"Nick Anderson"	0.0777764
"Tom Gugliotta"	0.0773638
"Antonio Davis"	0.0772574
"Terrell Brandon"	0.0771118
"Jermaine O'Neal"	0.0769807
"Kenyon Martin"	0.0766844
"Theo Ratliff"	0.0766672
"Jamal Mashburn"	0.0761519
"Jamie Feick"	0.0753979
"Maurice Taylor"	0.0749381
"Sam Clancy"	0.0743829
"Tamika Catchings"	0.074237
"Sean Rooks"	0.0741832
"Mario Elie"	0.073463
"Michael Wright"	0.0734395
"Brian Skinner"	0.072895
"Michael Smith"	0.0726384
"Jeff Friesen"	0.0725483
"Sean Elliott"	0.0724732
"Malik Sealy"	0.0724191
"Rashard Lewis"	0.0720922
"Dave Andreychuk"	0.0718568
"Joe Kleine"	0.0717733
"Toni Kukoc"	0.0717498
"Brian Grant"	0.0715984
"Eric Murdock"	0.0714371
"Vernon Maxwell"	0.0705562
"Brian Shaw"	0.0702475
"Jim McIlvaine"	0.0696118
"Ziggy Palffy"	0.0694106
"Eric Wynalda"	0.0693433
"Chris Gatling"	0.0690904
Hawkins	0.0689431
"Matt Harpring"	0.0684806
"Antonio McDyess"	0.0684423
"Robert Horry"	0.0682119
"Morris Peterson"	0.068126
"Greg Ostertag"	0.0680881
"Christophe Dugarry"	0.0680411
"Eric Snow"	0.0678343
"Corey Maggette"	0.0677802
"Scot Pollard"	0.067673
"Zydrunas Ilgauskas"	0.0675455
"Ron Artest"	0.0671499
"Matt Geiger"	0.0670325
"A.C. Green"	0.067032
"Donald Audette"	0.066693
"Jalen Rose"	0.0661392
"Ted Donato"	0.0659898
"Gabe Muoneke"	0.0657855
"Mike Bibby"	0.065535
"Bryon Russell"	0.0655128
"CORIE BLOUNT"	0.0654354
"Glenn Robinson"	0.065174
"Ante Razov"	0.0651631
"Anson Carter"	0.0646045
"Mark Madsen"	0.0645744
"Keith Van Horn"	0.0645253
"Bill Guerin"	0.0643598
"Shawn Kemp"	0.0643228
"Brian McBride"	0.0641272
Majerle	0.0638534
"Robert Traylor"	0.0637234
"Matthew Barnaby"	0.0635669
"Brian Scalabrine"	0.063565
"Rex Chapman"	0.063506
"LaPhonso Ellis"	0.063413
"Voshon Lenard"	0.063119
"Kenny Thomas"	0.0631113
"Bobby Phills"	0.0629128
"Jumaine Jones"	0.0628809
"John Starks"	0.0621647
"Scottie Pippen"	0.0619216
"Roy Lassiter"	0.0615072
"Sherman Douglas"	0.0611722
"Elton Brand"	0.061135
"Toby Bailey"	0.0610054
"Will Perdue"	0.0609512
"Jason Kapono"	0.060935
"Antoine Carr"	0.0608974
"Predrag Mijatovic"	0.0608917
"Chris Webber"	0.060704
"Eric Piatkowski"	0.0605282
"Matt Barnes"	0.0605261
"JaRon Rush"	0.0603445
"Stern John"	0.0601449
"Adrian Griffin"	0.05985
"Carl Pickens"	0.0596093
"Greg Anthony"	0.0593733
Polynice	0.0591548
"Sheryl Swoopes"	0.0588088
"Alessandro Del Piero"	0.0583918
"Mark Stepnoski"	0.0583586
"Rebecca Lobo"	0.058181
"DeLisha Milton"	0.0580796
"Charlie Garner"	0.0579346
"Steve Smith"	0.0577531
"Sam Cassell"	0.0576998
"Anthony Mason"	0.0575475
"Nick Van Exel"	0.057425
"Antonio Langham"	0.0574187
"Kevin Freeman"	0.0574118
"Tore Andre Flo"	0.057239
"Joe Juneau"	0.0570673
"Ron Francis"	0.0568416
"David Wesley"	0.0568306
"Trent Green"	0.0567318
"Sean Farnham"	0.0567221
"Kurt Thomas"	0.0567152
"Raul Diaz Arce"	0.0566035
))
("Billy Payne" (desc 1673.59) (sims
"Bernie Ecclestone"	0.213489
"Jack Valenti"	0.212427
"Tom Welch"	0.209127
"Mitt Romney"	0.202499
"Charles LaBella"	0.176628
"Sumner Redstone"	0.170256
"Mel Karmazin"	0.166472
"Julian Bond"	0.161159
"Wim Duisenberg"	0.158224
"Michel Camdessus"	0.152183
"James Barksdale"	0.149378
"Tom Johnson"	0.141904
"M. Douglas Ivester"	0.141439
"Joel Klein"	0.13846
"Richie Phillips"	0.138426
"Nur Misuari"	0.135718
"Sepp Blatter"	0.135061
"Steve Case"	0.13431
"Frank Joklik"	0.133168
"Carol Bellamy"	0.133101
"Ronnie Flanagan"	0.132884
"Juan Antonio Samaranch"	0.13214
"Wolfgang Schaeuble"	0.121787
"Michel Platini"	0.119137
"Xanana Gusmao"	0.118713
"Chea Sim"	0.118283
"Gerald Levin"	0.117808
"Jack Welch"	0.117766
"George Tenet"	0.116603
"Kim Yong Nam"	0.116266
"Arthur Levitt"	0.115324
"Barry McCaffrey"	0.114765
"Ricardo Alarcon"	0.112414
"Boris Fyodorov"	0.111404
"Rolf Ekeus"	0.108945
"Billy Hunter"	0.108449
"Joao Havelange"	0.107335
"Michael Eisner"	0.10578
"Richard Butler"	0.105684
"Glen Sather"	0.104731
"John Sweeney"	0.104183
"Bernard Kouchner"	0.104
"Wang Daohan"	0.103875
"Gennady Zyuganov"	0.101362
"John Shalikashvili"	0.0992182
"Vladimiro Montesinos"	0.0990882
"Renato Ruggiero"	0.0987002
"Sadako Ogata"	0.098682
"Archbishop Desmond Tutu"	0.0985801
"Jonas Savimbi"	0.0976758
"Mary Robinson"	0.0975636
"Yegor Stroyev"	0.0963312
"Zoran Djindjic"	0.0958575
"Gulbuddin Hekmatyar"	0.0955309
"Rod Thorn"	0.0952689
"Martin Lee"	0.0942768
"Steve Ballmer"	0.0926674
"Jeffrey Katzenberg"	0.0922309
"Oskar Lafontaine"	0.0919739
"Jim Nicholson"	0.0914391
"Jack Gargan"	0.0907838
"Ray Evernham"	0.090581
"Abdurrahman Wahid"	0.0904041
"Hashim Thaci"	0.0897868
"Alija Izetbegovic"	0.0897727
"William Walker"	0.0896902
"Ansumane Mane"	0.0893214
"Barry Diller"	0.0892676
"Carmen Policy"	0.0885743
R-Alaska	0.0884656
Joklik	0.0884428
"John Browne"	0.0884194
"Tom Davis"	0.0870785
"Gianni Agnelli"	0.0867286
"Larry Ellison"	0.0862167
"Jacques Santer"	0.0861749
"John Morris"	0.086046
"Grigory Yavlinsky"	0.0855808
Buthelezi	0.0854639
"Tony Coelho"	0.0847868
"Edgar Bronfman Jr."	0.0842368
"Yossi Sarid"	0.0841921
"Bill Lann Lee"	0.0836707
"John Koskinen"	0.0829248
"Dave Checketts"	0.0827879
"Franz Beckenbauer"	0.0824887
"Gene Sperling"	0.0818972
"Michael Dell"	0.0818891
"Tony George"	0.081767
"Gro Harlem Brundtland"	0.081405
"Marzuki Darusman"	0.081212
"James P. Hoffa"	0.0811885
"Klaus Naumann"	0.0809865
"Foday Sankoh"	0.0808212
"Gerry Adams"	0.0802199
"Le Kha Phieu"	0.0799484
"Danny Yatom"	0.0798721
Beckenbauer	0.079689
Pearce	0.0795309
"Lino Oviedo"	0.0794308
"Roy Romer"	0.0789766
Rais	0.0789599
Klerk	0.0788555
"Ratko Mladic"	0.0784845
"Fayez Tarawneh"	0.0784766
"Scott McNealy"	0.0782271
Scruggs	0.0780726
"Hans Blix"	0.0779605
"Amien Rais"	0.0778424
Zarb	0.0776313
"Jacques Rogge"	0.0773716
"Ketumile Masire"	0.0766463
Sassa	0.0765713
"Pervaiz Musharraf"	0.0764514
Moonves	0.0762336
"Bruce Teitelbaum"	0.0761655
"Richard Branson"	0.0759748
"Richard Smith"	0.075515
"Aslan Maskhadov"	0.0749343
"Charles Dolan"	0.0749242
"Mikhail Gorbachev"	0.0749131
Nebiolo	0.0740928
"George Speight"	0.0739054
"Than Shwe"	0.0737708
"Zhou Guangzhao"	0.0734374
"Begum Khaleda Zia"	0.0729011
Barksdale	0.0728064
Ershad	0.0728015
"Martti Ahtisaari"	0.0727624
Izetbegovic	0.0722137
"Abu Mazen"	0.0713124
Naumann	0.0712311
"Vuk Draskovic"	0.0708552
"Franjo Tudjman"	0.0707683
Chubais	0.0706617
Portillo	0.0703748
"Zell Miller"	0.0702742
Prewitt	0.0702452
Camdessus	0.0702266
"Ta Mok"	0.0701406
"Pervez Musharraf"	0.0697131
Hamlin	0.0696669
"Khieu Samphan"	0.0695299
Harmoko	0.0694123
"Ariel Sharon"	0.0692494
"De Klerk"	0.0690018
Allchin	0.0684822
"Mikulas Dzurinda"	0.068477
"Stanley Fischer"	0.0681297
"Vince McMahon"	0.0677019
"Mitch McConnell"	0.0676988
"Coretta Scott King"	0.0675825
Kennard	0.0675731
Jorgensen	0.0675074
"Thabo Mbeki"	0.0672567
"Enrique Iglesias"	0.0671232
"Olusegun Obasanjo"	0.0671181
Misuari	0.0670507
"Warren Christopher"	0.0670455
"Alexander Lebed"	0.0668998
McNamara	0.0667904
"Dan Burton"	0.0665284
Fyodorov	0.0663774
"Wolfgang Schuessel"	0.0663236
Bowen	0.0663171
Myhrvold	0.0661525
Sensenbrenner	0.0658636
Caddell	0.0657641
Caldera	0.0657472
Wiranto	0.0655365
"Barry R. McCaffrey"	0.0654138
"George Mitchell"	0.0653837
Blatter	0.0652772
"William Hague"	0.0652026
"Elizabeth Dole"	0.0651448
"Fehmi Agani"	0.0650636
"Kresimir Zubak"	0.0649562
"John Kelly"	0.0645611
"Mike Moore"	0.0645415
"Ralph Reed"	0.0644836
"Yasser Arafat"	0.0643995
Epstein	0.0643828
Kaunda	0.0641313
"Eli Broad"	0.0641071
"Khaleda Zia"	0.064072
"Craig Barrett"	0.0639247
Maritz	0.0638686
Rossotti	0.0634051
Hofer	0.0632934
"Martin Luther King III"	0.0632653
"James Dobson"	0.0632621
"Charles Taylor"	0.0632594
"Robert Bennett"	0.0631994
"Fatos Nano"	0.063195
Eisner	0.0629868
"Jacques Chirac"	0.062842
Leavitt	0.0627123
"Jerry Colangelo"	0.0625219
"Esther Dyson"	0.0625007
Groscost	0.0624627
))
("Billy Tauzin" (desc 1620.85) (sims
Tauzin	0.303532
"Robert Livingston"	0.301526
"Dan Miller"	0.220619
"Bob Livingston"	0.203268
"David Dreier"	0.186369
"John Breaux"	0.176996
"Matt Salmon"	0.163953
"Zoe Lofgren"	0.161995
"Bill Archer"	0.149269
"Carolyn Maloney"	0.148008
"Charles Stenholm"	0.144776
"Jose Serrano"	0.143605
"Lloyd Doggett"	0.142601
"Sheila Jackson Lee"	0.142372
"Curt Weldon"	0.141446
"George Nethercutt"	0.139913
"James Sensenbrenner"	0.137714
"Benjamin Gilman"	0.136937
"Henry Bonilla"	0.133299
"George Gekas"	0.132932
"Henry Waxman"	0.131813
"Mark Foley"	0.131531
"Jim Leach"	0.128312
"Nancy Pelosi"	0.127375
"Don Young"	0.126992
"Steve Largent"	0.125667
"Lamar Smith"	0.125515
"Mary Bono"	0.124726
"Steve Chabot"	0.124551
"Charles Canady"	0.123958
"Robert Menendez"	0.123836
"Mary Landrieu"	0.123231
"Nita Lowey"	0.122985
"John Boehner"	0.122868
"Charlie Norwood"	0.118653
"Martin Meehan"	0.116613
"Loretta Sanchez"	0.116127
"Ron Paul"	0.116113
"Porter Goss"	0.115743
"Maxine Waters"	0.114697
"David Bonior"	0.112673
"Jennifer Dunn"	0.112626
"Carolyn McCarthy"	0.11253
"Sherwood Boehlert"	0.112528
"Jim Kolbe"	0.112427
"Christopher Shays"	0.112301
"Jack Quinn"	0.112299
"Tom Coburn"	0.11225
"Peter King"	0.11089
"J.C. Watts"	0.110384
"John Dingell"	0.110176
"Barney Frank"	0.110096
"Christopher Cox"	0.108218
"Patrick Kennedy"	0.107915
"Jim McDermott"	0.107014
"Norm Dicks"	0.106953
"John Linder"	0.106396
"Connie Morella"	0.105049
"Charles Rangel"	0.104884
"Conrad Burns"	0.104858
"Martin Frost"	0.104854
"George Miller"	0.104632
"Ed Bryant"	0.102328
"Lee Hamilton"	0.102243
"Jack Kingston"	0.101656
Hynes	0.100118
"John Conyers"	0.0995703
"House Majority Whip Tom DeLay"	0.0993052
"James Rogan"	0.0980705
"Nancy Johnson"	0.0977379
"Tillie Fowler"	0.0976177
"Marge Roukema"	0.0972055
"Jerrold Nadler"	0.0968431
"Bill McCollum"	0.0961874
"Bill Lockyer"	0.0953091
"Mark Sanford"	0.0936287
"Marc Racicot"	0.0920493
"Tom Campbell"	0.0919832
Livingston	0.0916848
"Asa Hutchinson"	0.0910433
"John Kasich"	0.0892888
"Bernard Sanders"	0.0891253
"Slade Gorton"	0.0881541
"John Sweeney"	0.0873649
"Jim Turner"	0.0863604
"Michael Forbes"	0.085732
"Linda Smith"	0.0849901
"Sue Kelly"	0.0849807
"Charles E. Schumer"	0.0840733
"Tony Coelho"	0.0834474
"Bill Thomas"	0.0831348
"Mike Foster"	0.0823939
"Health and Human Services Department"	0.0819913
"Chris Smith"	0.0813634
"Amo Houghton"	0.0808849
"John Lewis"	0.0800631
"Susan Molinari"	0.0795566
"Ted Stevens"	0.0793034
"Henry Shelton"	0.0791224
"Dick Armey"	0.0790772
"John Shalikashvili"	0.0783897
"Robert Byrd"	0.0766248
"Henry Hyde"	0.0763359
"Lindsey Graham"	0.0756959
"Arthur Levitt"	0.0751119
"Jim Bunning"	0.0750205
"Tom Davis"	0.0748368
"Tim Johnson"	0.0748185
"Pat Roberts"	0.0746351
"Richard Gephardt"	0.0742768
"Sam Brownback"	0.0737361
"Greg Ganske"	0.0734805
Ganassi	0.0732384
"Majority Whip Tom DeLay"	0.0729247
"Mitch McConnell"	0.0729121
"Bob Franks"	0.0722791
"Bob Barr"	0.0718773
"Sheldon Silver"	0.071622
"Thad Cochran"	0.0715597
"Carl Levin"	0.0704089
Hevesi	0.0703452
R-Ala.	0.069951
"George Voinovich"	0.0697644
backwoods	0.0697067
"Christopher Smith"	0.0692473
Moakley	0.0688469
"Dan Burton"	0.0686881
"Fred Upton"	0.0684462
Ebersol	0.0677032
"Richard Lugar"	0.067059
"Log Cabin Republicans"	0.0669289
"Association of Flight Attendants"	0.0663893
"Bill Frist"	0.0663515
"Frank Murkowski"	0.0662323
"John Warner"	0.0658901
"Hugh Shelton"	0.065717
"Dan Glickman"	0.0651436
Zarb	0.0644123
"Jim Nicholson"	0.0643684
"Human Rights Campaign"	0.0643173
Rendell	0.0641248
"Tom Johnson"	0.0639372
"Craig Thomas"	0.0635372
bayou	0.063505
"William Roth"	0.0632046
"Tom DeLay"	0.0625975
"Edward M. Kennedy"	0.0623089
"Mike DeWine"	0.0622275
Torricelli	0.0617247
"Max Baucus"	0.0613052
"Jack Valenti"	0.0612936
"Olympia Snowe"	0.0612229
"Eliot Spitzer"	0.0606684
Dewine	0.0605189
"Tom Harkin"	0.0604553
Kasich	0.0602076
"Mark Green"	0.060058
"Air Transport Association"	0.059944
McGuinness	0.0598105
"Tom Hayden"	0.0596155
"Sydney Organizing Committee"	0.0594374
"Tom Vilsack"	0.0592621
"Securities Industry Association"	0.0591326
"Orrin Hatch"	0.0590804
"Kit Bond"	0.058641
"Dick Gephardt"	0.058578
"Henry H. Shelton"	0.0585711
"Roy Barnes"	0.0585354
"Southern Poverty Law Center"	0.0583896
"Rick White"	0.0583469
Strauss-Kahn	0.0579418
"Adam Smith"	0.0577554
"Robert Torricelli"	0.0577223
R-Miss.	0.057508
Boehner	0.0571895
"Spencer Abraham"	0.0570606
"Roy Romer"	0.0570558
"Ben Nighthorse Campbell"	0.0569993
ICBC	0.0569134
"Mary Jo White"	0.056819
"Christopher Dodd"	0.0567485
"John G. Rowland"	0.0567343
"Larry Craig"	0.0566149
Nickerson	0.056598
"Rick Lazio"	0.0562155
"Ron Wyden"	0.056043
"Jeanne Shaheen"	0.056029
Surin	0.0558971
Difrancesco	0.0555041
Largent	0.0553101
"Russ Feingold"	0.0553068
Spitzer	0.0552884
"Port Authority of New York"	0.0552599
"Barry McCaffrey"	0.0550709
"American Petroleum Institute"	0.0550308
Fleischer	0.0549787
"Trent Lott"	0.0548491
Golding	0.0546111
"Charles Schumer"	0.054526
"Donna Shalala"	0.0543028
))
("Billy Taylor" (desc 2559.81) (sims
"Mike Timlin"	0.241454
"DOUG JONES"	0.210393
"Ricky Bottalico"	0.209921
"Rick Aguilera"	0.209715
"Matt Mantei"	0.207881
"Russ Springer"	0.205576
"Omar Olivares"	0.201769
"Bob Wickman"	0.201107
"Danny Graves"	0.20045
"Randy Myers"	0.199826
"Tom Candiotti"	0.192619
"Gil Heredia"	0.185991
"Byung-Hyun Kim"	0.185144
"Kazuhiro Sasaki"	0.18079
"Kevin Appier"	0.180715
"Jason Isringhausen"	0.176934
"Alan Embree"	0.176704
"Darren Holmes"	0.175857
"Todd Jones"	0.175614
"Mike Fetters"	0.174922
"Chuck McElroy"	0.174774
"Heathcliff Slocumb"	0.173904
"Mark Leiter"	0.171828
"Roberto Hernandez"	0.170876
"Matt Herges"	0.169617
"Pedro Borbon"	0.169161
"Terry Adams"	0.168636
"Octavio Dotel"	0.167708
"Jose Mesa"	0.167481
"Ugueth Urbina"	0.166925
"John Hudek"	0.166682
"John Wetteland"	0.166547
"Armando Benitez"	0.165451
"Doug Henry"	0.164279
"Jeff Shaw"	0.163901
"Jeff Nelson"	0.1633
"Rod Beck"	0.162042
"Gregg Olson"	0.159045
"Mike Magnante"	0.158077
"Scott Williamson"	0.157478
"Scott Radinsky"	0.156408
"Kerry Ligtenberg"	0.156059
"Robb Nen"	0.155593
"Ramiro Mendoza"	0.154388
"Paul Shuey"	0.154166
"Pat Mahomes"	0.154161
"Rudy Seanez"	0.153128
"Mike Remlinger"	0.152492
"Bryce Florie"	0.150037
"Ron Villone"	0.149592
"Jason Grimsley"	0.149443
"Tim Hudson"	0.148862
"Troy Percival"	0.148371
"Jesse Orosco"	0.145512
"Tom Gordon"	0.144713
"John Franco"	0.144622
"Mark Petkovsek"	0.14336
"Turk Wendell"	0.142893
"Jeff Brantley"	0.142664
"Mike Williams"	0.142339
"Antonio Osuna"	0.141632
"Jose Jimenez"	0.139801
"Greg McMichael"	0.139693
"Al Levine"	0.137531
"Juan Guzman"	0.137299
"Darryl Hamilton"	0.137254
"Francisco Cordero"	0.135895
"Danny Patterson"	0.135673
"Jamie Arnold"	0.135354
"Jay Powell"	0.134572
"Tim Crabtree"	0.13365
"Armando Reynoso"	0.132476
"Jim Corsi"	0.13048
"Paul Abbott"	0.130452
"Scott Sullivan"	0.130394
"Dan Miceli"	0.129976
"Rich Garces"	0.12971
"Terry Mulholland"	0.129229
"Derek Lowe"	0.128876
"Rich Rodriguez"	0.128808
"Alan Mills"	0.128308
"Pedro Astacio"	0.128282
"Mike Stanton"	0.127971
"Woody Williams"	0.127664
"John Wasdin"	0.127225
"Mac Suzuki"	0.126877
"Trevor Hoffman"	0.126785
"Greg Swindell"	0.126692
"Graeme Lloyd"	0.126586
"Billy Wagner"	0.125506
"John Burkett"	0.124525
"Mariano Rivera"	0.124498
"Jeff Zimmerman"	0.124348
"Scott Elarton"	0.123948
"Brett Hinchliffe"	0.122717
"Chris Holt"	0.122657
"Darren Oliver"	0.121909
"Kevin McGlinchy"	0.121885
"Aaron Sele"	0.121661
"Dennis Cook"	0.121433
"Mel Rojas"	0.120809
"Robinson Checo"	0.120627
"Kevin Tapani"	0.120252
"Joey Hamilton"	0.119572
"Orel Hershiser"	0.118629
"Mike Morgan"	0.1186
"Brian Bohanon"	0.117826
"Mark Wohlers"	0.117553
"Mike Judd"	0.117394
"Rick Reed"	0.11667
"Scott Karl"	0.116404
"Steve Parris"	0.116344
"Matt Morris"	0.11575
"Ismael Valdes"	0.115083
"Esteban Loaiza"	0.114564
"Bill Pulsipher"	0.114164
"Jason Christiansen"	0.114144
"Carl Pavano"	0.113716
"Bruce Chen"	0.11305
"Donne Wall"	0.112876
"Dave Burba"	0.112852
"Chris Carpenter"	0.11273
"Mike Jackson"	0.112691
"Jose Paniagua"	0.112086
"Darryl Kile"	0.111686
"Dennis Martinez"	0.111306
"Willie Blair"	0.111257
"Mark Guthrie"	0.1108
"Steve Trachsel"	0.110192
"Dave Mlicki"	0.109257
"Shawon Dunston"	0.109169
"Rick White"	0.109094
"Mike Holtz"	0.108663
"Arthur Rhodes"	0.10816
"Shigetoshi Hasegawa"	0.107324
"Brad Radke"	0.107278
"Mark Gardner"	0.107091
"Allen Watson"	0.106674
"Brett Tomko"	0.106618
"Onan Masaoka"	0.106411
"Tim Wakefield"	0.105216
"Jason Bere"	0.104272
"Jason Schmidt"	0.104103
"Curt Schilling"	0.103936
"Paul Spoljaric"	0.10356
"Brian Rose"	0.103541
"Dwight Gooden"	0.103429
"Ken Cloude"	0.102967
"Brian Moehler"	0.102645
"Rolando Arrojo"	0.102563
"Todd Stottlemyre"	0.102407
"Shawn Estes"	0.101782
"STEVE WOODARD"	0.101449
"Kenny Rogers"	0.101162
"Alex Fernandez"	0.100987
"Mark Portugal"	0.0999701
"Mark Langston"	0.0998385
"John Rocker"	0.0997716
"Javier Vazquez"	0.0997606
"Kent Bottenfield"	0.0994628
"Andy Benes"	0.0988498
"Doug Davis"	0.0980368
Benitez	0.097675
"Rick Helling"	0.0976541
"Jon Lieber"	0.0974424
"Pat Rapp"	0.0971967
"Jack McDowell"	0.0968752
"Dennis Eckersley"	0.0964871
"Mike Venafro"	0.0958936
"Frankie Rodriguez"	0.0958136
"Ramon Ortiz"	0.0956026
"Scott Erickson"	0.0950043
Petkovsek	0.0944023
"Russ Ortiz"	0.0934873
"Jose Lima"	0.0934325
"Pat Hentgen"	0.0933446
"Pete Harnisch"	0.0921666
"Francisco Cordova"	0.0917098
"Rheal Cormier"	0.090387
"Pete Schourek"	0.0895823
"Chuck Finley"	0.0893722
"Ryan Glynn"	0.0893268
"Jaret Wright"	0.0877345
"Ryan Dempster"	0.0875771
"Mark Clark"	0.0874201
Candiotti	0.0866587
Mantei	0.0865296
"Denny Neagle"	0.0860014
Isringhausen	0.0857577
Herges	0.0857514
"Andy Ashby"	0.0848889
"Livan Hernandez"	0.0847768
"Jim Parque"	0.0842682
"Sidney Ponson"	0.0842561
"Kirk Rueter"	0.0837581
Schourek	0.0835257
Pavano	0.0832357
Bottenfield	0.0832142
"Jeff Fassero"	0.0830668
"John Halama"	0.0825724
))
("Billy Wagner" (desc 4541.13) (sims
"Sean Bergman"	0.300934
"Doug Henry"	0.271066
"Jay Powell"	0.259025
"Jose Lima"	0.253809
"Shane Reynolds"	0.246106
"Jeff Brantley"	0.22059
"Matt Mantei"	0.217174
"Chris Holt"	0.216837
"Turk Wendell"	0.207907
"Troy Percival"	0.205812
"Mike Hampton"	0.204187
"Armando Benitez"	0.201623
"Octavio Dotel"	0.200513
"Danny Graves"	0.198351
"Trevor Hoffman"	0.196849
"John Wetteland"	0.196544
"Jason Christiansen"	0.193902
"Scott Elarton"	0.192142
"Byung-Hyun Kim"	0.191975
"Scott Radinsky"	0.19132
"Robb Nen"	0.1885
"Mike Magnante"	0.187523
"Mariano Rivera"	0.185864
"Todd Jones"	0.185789
"Rick Aguilera"	0.185734
"Jeff Shaw"	0.184317
"Jose Mesa"	0.183483
"Paul Shuey"	0.178292
"Pat Mahomes"	0.176128
"DOUG JONES"	0.1759
"Mike Stanton"	0.174935
"Craig Biggio"	0.174013
"Derek Lowe"	0.173799
"Dennis Cook"	0.173729
"Gregg Olson"	0.172884
"Alan Embree"	0.171876
"Scott Sullivan"	0.171518
"John Franco"	0.171113
"Mark Petkovsek"	0.170544
"Russ Springer"	0.169495
"Mike Remlinger"	0.169224
"Derek Bell"	0.168892
"Mike Venafro"	0.16799
"Tom Gordon"	0.167712
"Ugueth Urbina"	0.167557
"Rod Beck"	0.167135
"Shigetoshi Hasegawa"	0.167004
"Terry Adams"	0.165209
"Rheal Cormier"	0.165108
"Randy Myers"	0.163917
"Kazuhiro Sasaki"	0.163243
"Tim Crabtree"	0.162162
"Donne Wall"	0.160933
"Kerry Ligtenberg"	0.160321
"Roberto Hernandez"	0.160113
"Ron Villone"	0.15869
"Paul Byrd"	0.157567
"Mike Williams"	0.15686
"Mike Timlin"	0.155989
"Mitch Meluskey"	0.15441
"Tim Wakefield"	0.154166
"Arthur Rhodes"	0.153693
"Bryce Florie"	0.15293
"Scott Williamson"	0.150141
"Pete Schourek"	0.149097
"Dan Miceli"	0.148397
"Mike Holtz"	0.148353
"Heathcliff Slocumb"	0.147541
"Bob Wickman"	0.145691
"Willie Blair"	0.144285
"John Rocker"	0.143771
"Mark Langston"	0.143167
"Rich Rodriguez"	0.142061
"Jeff Fassero"	0.142001
"Terry Mulholland"	0.141825
"Mark Gardner"	0.141591
"Mark Wohlers"	0.141429
"Richard Hidalgo"	0.141241
"Jeff Zimmerman"	0.141105
"Ricky Bottalico"	0.139897
"Sterling Hitchcock"	0.139589
"Kirk Rueter"	0.138477
"Andy Benes"	0.138019
"Chuck McElroy"	0.137613
"Al Leiter"	0.136798
"Jesse Orosco"	0.135513
"Moises Alou"	0.134714
"Omar Daal"	0.134215
"Bruce Chen"	0.132446
"Antonio Osuna"	0.13224
"Mark Guthrie"	0.131909
"Rich Garces"	0.131471
"Javier Vazquez"	0.131384
"Dustin Hermanson"	0.131316
"Kent Mercker"	0.131185
"Carl Everett"	0.129781
"Shawn Estes"	0.129631
"Pedro Borbon"	0.128164
"Graeme Lloyd"	0.128044
Mahomes	0.127463
"Steve Parris"	0.127161
"Greg Swindell"	0.127149
"Jeff Bagwell"	0.126674
"Billy Taylor"	0.125506
"Matt Morris"	0.125265
"Charles Nagy"	0.124515
"Alan Mills"	0.124502
"Jim Parque"	0.124083
"Jason Schmidt"	0.123467
"John Wasdin"	0.12341
"Scott Karl"	0.120844
Elarton	0.119887
"Eric Milton"	0.119313
"Wilson Alvarez"	0.119233
"Rudy Seanez"	0.119098
"STEVE WOODARD"	0.118681
"Paul Abbott"	0.118209
"Drayton McLane Jr."	0.117599
"Mike Mussina"	0.117557
"Brian Bohanon"	0.117371
"Mike Fetters"	0.11676
"Kevin Millwood"	0.116613
"Russ Ortiz"	0.11636
Rusch	0.115728
"Rick White"	0.115432
Schourek	0.115102
"Allen Watson"	0.114628
"Carl Pavano"	0.114212
"Jason Isringhausen"	0.114198
"Mike Sirotka"	0.113702
"Jeff Nelson"	0.113641
"Brett Tomko"	0.112141
"Darren Oliver"	0.1114
Benitez	0.111305
"Ramiro Mendoza"	0.110265
"Jaret Wright"	0.11
"Jamie Moyer"	0.109999
"Jose Paniagua"	0.109576
Percival	0.108773
"Ramon Martinez"	0.108748
"Randy Johnson"	0.108308
"John Burkett"	0.107944
"Mike Jackson"	0.107444
"Mark Leiter"	0.10728
"Odalis Perez"	0.107124
"John Smoltz"	0.106894
"Al Levine"	0.106237
"John Halama"	0.105662
"Doug Davis"	0.105537
Wetteland	0.10544
"Orel Hershiser"	0.105434
"Chuck Finley"	0.104479
"Brad Radke"	0.104434
Lieber	0.103638
"Onan Masaoka"	0.103493
"Pete Harnisch"	0.102838
Daal	0.10257
Schilling	0.101851
"Jose Jimenez"	0.101821
"Brian Anderson"	0.101036
Contreras	0.101006
"Matt Herges"	0.100551
"Masato Yoshii"	0.099022
"Mike Morgan"	0.098889
"Jon Lieber"	0.098675
"Jamey Wright"	0.098611
"Denny Neagle"	0.0981401
"Scott Schoeneweis"	0.0979822
"Paul Spoljaric"	0.0975812
"Woody Williams"	0.0973778
"Dave Burba"	0.0969605
"Bartolo Colon"	0.0966124
"Darryl Kile"	0.0963046
"Armando Reynoso"	0.0961707
Leiter	0.0961145
"Greg McMichael"	0.0954477
"Tom Glavine"	0.0952878
Petkovsek	0.0951249
"Tony Eusebio"	0.0949849
Heredia	0.0946713
"Bill Pulsipher"	0.0943838
"Brian Moehler"	0.0942501
Dempster	0.0940132
Bottenfield	0.0936938
"BRIAN MEADOWS"	0.0936713
"Kevin Tapani"	0.0930772
"Curt Schilling"	0.0926915
Sele	0.0926721
"Kent Bottenfield"	0.091986
Trachsel	0.0919705
"Dwight Gooden"	0.0919536
"Pat Rapp"	0.0917424
Astacio	0.0912832
"Kevin Appier"	0.0912049
"Eric Gunderson"	0.0910976
Olivares	0.0909851
"John Snyder"	0.0904824
"Carlos Perez"	0.090316
"Chris Carpenter"	0.0901829
Benes	0.0900483
))
("Billy Wilder" (desc 1547.48) (sims
"Akira Kurosawa"	0.194767
"Robert Altman"	0.129846
"John Ford"	0.125523
"Charlie Chaplin"	0.124958
"John Waters"	0.124366
"Alfred Hitchcock"	0.12353
"Ron Howard"	0.115802
"Frank Capra"	0.11504
"Rob Reiner"	0.112082
"Ingmar Bergman"	0.109944
"Francis Ford Coppola"	0.109322
"Nora Ephron"	0.109216
"Jonathan Demme"	0.100089
"Terrence Malick"	0.0991416
"Orson Welles"	0.0946369
"Tim Burton"	0.0938093
"Neil LaBute"	0.0892448
"Mike Nichols"	0.0873018
"Steven Soderbergh"	0.0858452
"J. Edgar Hoover"	0.0835013
"Martin Scorsese"	0.0827006
"Julie Taymor"	0.0826394
"Katharine Hepburn"	0.08089
"Laurence Olivier"	0.0805303
"Barry Levinson"	0.0736436
"David Lynch"	0.0715213
"Miles Davis"	0.0682824
"Pedro Almodovar"	0.0663811
"Johnny Carson"	0.0660465
"Stanley Kubrick"	0.0646748
"Xie Zhenhua"	0.0632385
"Woody Allen"	0.0620867
"William Randolph Hearst"	0.0618444
"Mel Brooks"	0.060819
"Andrew Magee"	0.0605
"George Tenet"	0.0600054
"John Wayne"	0.0599661
"Brad Faxon"	0.0593146
"Roberto Benigni"	0.058637
"John Weaver"	0.0585668
"Elia Kazan"	0.0562356
"Chris Perry"	0.0560787
"Bette Davis"	0.055472
"Warren Beatty"	0.0547587
"Van Sant"	0.0542933
"Shirley MacLaine"	0.0533469
"Gore Vidal"	0.0529132
"Wes Craven"	0.0523567
"Hank Greenberg"	0.0519215
"John Huston"	0.0517429
"Louis Freeh"	0.0516622
Chaplin	0.0515555
"Quentin Tarantino"	0.0510773
"Gary Cooper"	0.0507525
"Craig Stadler"	0.0505989
"James Cameron"	0.049834
"Paul Schrader"	0.0492771
Solondz	0.0492742
"David Mamet"	0.0490546
"Gianni Versace"	0.0489462
"John Browne"	0.0486393
"Spike Lee"	0.0484793
"Steve Pate"	0.0484074
Lennon	0.0482368
"Mark Calcavecchia"	0.046672
Proust	0.0466437
"Marlon Brando"	0.0463957
"John Steinbeck"	0.0461114
Truffaut	0.0455958
Almodovar	0.0453995
"Eddie Murphy"	0.0450459
"Michael Douglas"	0.0446642
Hirohito	0.0442784
"David Geffen"	0.0440735
"Billy Bob Thornton"	0.0435106
"Charles Lindbergh"	0.0418003
"Adam Sandler"	0.0416461
"James Stewart"	0.0413095
out-of-towners	0.0409228
"P.T Barnum"	0.040203
"Oliver Stone"	0.0401657
))
(Biloxi (desc 3657.16) (sims
Hattiesburg	0.158004
"Baton Rouge"	0.111292
Shreveport	0.0990067
"Atlantic City"	0.0896399
"Little Rock"	0.0845668
Knoxville	0.0844109
"Las Vegas"	0.0752736
Galveston	0.073702
Missoula	0.0733298
"Myrtle Beach"	0.0723519
Plattsburgh	0.0721855
Greenville	0.0720319
Utica	0.0707916
Danbury	0.0707527
Uniondale	0.0705703
Monticello	0.0705043
Greensboro	0.0702986
Topeka	0.069962
ASHEVILLE	0.0692087
"East St. Louis"	0.0691427
Greenwood	0.0685772
Roanoke	0.0679767
Charleston	0.067948
TALLAHASSEE	0.0675408
Tacoma	0.0675334
Newark	0.0675258
Laredo	0.0671599
"Palm Springs"	0.0662952
"Wichita Falls"	0.0655967
Gainesville	0.0655122
Winston-Salem	0.0639602
Wichita	0.0637615
Tampa	0.0637435
"Corpus Christi"	0.0636603
"San Salvador"	0.0631614
Madison	0.0631338
Minneapolis	0.0630023
TRENTON	0.0629804
Albuquerque	0.0629652
Youngstown	0.0629407
Beaumont	0.0628812
Brookhaven	0.0624056
Tucson	0.0622692
Wildwood	0.0622261
"West Palm Beach"	0.0621236
"Palm Beach"	0.0619238
Bridgeport	0.061713
Spokane	0.0612308
Ensenada	0.0611321
Lubbock	0.0607158
Honolulu	0.0599736
"Fort Worth"	0.0592042
Westfield	0.0588643
"Saratoga Springs"	0.0587581
"Key West"	0.0587325
Palmdale	0.0587026
Carmel	0.0586721
Texarkana	0.0586645
Lufkin	0.0580342
Columbus	0.0580061
Springfield	0.057934
Miami-Dade	0.0576011
Brownsville	0.0575797
Wilmington	0.0575369
Laughlin	0.0571292
"Subic Bay"	0.0570978
Juneau	0.0567319
Tuscaloosa	0.0566903
Waterbury	0.0566327
Naples	0.0566261
"St. Paul"	0.0565617
"Oklahoma City"	0.0564353
Memphis	0.0563173
"Del Rio"	0.0562115
Bangor	0.0560249
LAKEWOOD	0.0557824
"White Plains"	0.0554805
Fresno	0.0553459
Xian	0.0553138
Camden	0.0551803
BOGOTA	0.0550659
Aberdeen	0.0549908
"Fort Lauderdale"	0.0547623
Kyoto	0.0547503
"North Hollywood"	0.054407
"San Diego County"	0.0542085
Lexington	0.0539558
"Newport Beach"	0.0539106
Dayton	0.0538488
"Miami Beach"	0.0535885
Laramie	0.0535794
Warwick	0.0535095
"Des Moines"	0.0534802
"Cedar Rapids"	0.0533646
Sausalito	0.0533308
"Jackson County"	0.0532806
Perth	0.0529869
Weimar	0.052746
Hartford	0.0527226
"San Angelo"	0.0526754
Pensacola	0.0526386
Omaha	0.0524311
Watertown	0.0523583
"New Haven"	0.0522132
Bellingham	0.0520713
"East Orange"	0.0520454
"District of Columbia"	0.0518127
"Union City"	0.0516899
Sedona	0.0516623
"El Paso"	0.0515306
"San Juan"	0.0514307
Verona	0.0512789
Fairbanks	0.0512064
"Salt Lake City"	0.051205
Raleigh	0.0508357
"Twin Cities"	0.0505581
Somerville	0.0505091
Birmingham	0.0499858
Brunswick	0.0499741
"Lake Tahoe"	0.0497736
Fremont	0.0496919
"Washington D.C."	0.0496336
anchorage	0.0495107
Glendale	0.0494201
Princeville	0.0492966
Norfolk	0.049287
Lausanne	0.0492274
Asmara	0.0492087
Morristown	0.0492066
"El Segundo"	0.0490647
Yuma	0.0490384
Conyers	0.0489146
Cozumel	0.0488437
Redding	0.0487903
"Miami-Dade County"	0.0487244
"Thousand Oaks"	0.0486658
"Guatemala City"	0.0484415
"Cobb County"	0.0482879
Akron	0.0481238
Sevastopol	0.0480389
Hillsboro	0.0478909
Bloomington	0.0477793
Huntsville	0.0477605
Tulsa	0.0475308
"Jersey City"	0.0475072
"Overland Park"	0.0474816
Worcester	0.0474797
Elmira	0.04725
Matamoros	0.0471413
Yonkers	0.0470877
Caen	0.0470873
Vega	0.0470641
Jasper	0.0469394
"Daytona Beach"	0.0469199
Juarez	0.0468191
Chattanooga	0.0466367
"Cherry Hill"	0.0465562
Foxwoods	0.0464665
Cooperstown	0.046461
Guayaquil	0.0463687
Stamford	0.0462785
BUDAPEST	0.0462747
"St. Petersburg"	0.0461582
Stockbridge	0.0459733
"Ho Chi Minh City"	0.0459623
Nogales	0.0458816
Harrisburg	0.0457988
Fredericksburg	0.0457907
"San Marcos"	0.0457272
Alexandria	0.0457047
CANCUN	0.0455322
Arlington	0.0454923
"Boynton Beach"	0.0454822
Brockton	0.0454377
Schenectady	0.0452412
Wallingford	0.0451681
Winnipeg	0.0450676
Plano	0.0448906
"Santa Rosa"	0.0448861
Pasadena	0.0448431
"Tarrant County"	0.0447487
"Greenwich Village"	0.0447184
Macau	0.0446078
Groton	0.0444774
Evansville	0.0444763
Burlingame	0.0444528
Xenia	0.0444111
Savannah	0.0442814
Catskills	0.0442071
Portsmouth	0.0440641
Auckland	0.0436392
Bermuda	0.0435387
"Fairfax County"	0.0434213
Americus	0.0433621
Harlingen	0.0433189
Cartagena	0.0433
Macon	0.0432546
Randolph	0.0432334
Nago	0.043039
Clearwater	0.0429876
))
(Biman (desc 1808.29) (sims
"Air India"	0.217309
"El Al"	0.198216
"Thai Airways International"	0.164709
Aeroflot	0.155117
JAT	0.153297
"Air China"	0.146836
"Gulf Air"	0.14324
"Vietnam Airlines"	0.135764
"Kenya Airways"	0.134278
"Air Canada"	0.130643
"Cathay Pacific"	0.125735
TAZARA	0.115861
"American eagle"	0.115237
"Cathay Pacific Airways"	0.113247
"British Airways"	0.112654
"Indian Airlines"	0.112463
EgyptAir	0.111763
"US Airways"	0.109014
Varig	0.108083
Lufthansa	0.10147
JAL	0.100901
Qantas	0.0958326
MEA	0.0926308
"Singapore Airlines"	0.0919054
"Korean Air"	0.0906399
"America West"	0.0905548
Aeromexico	0.0885713
KPA	0.0885061
IAI	0.0881995
"Indian Air Force"	0.0880764
SAFY	0.0867557
RJR	0.0845501
"Pan Am"	0.0840114
"Air France"	0.0839669
"Japan Airlines"	0.0829415
Nepa	0.0829062
"United Airlines"	0.0823347
SAA	0.0816413
"Air Lanka"	0.0806787
CSE	0.0802048
MTA	0.0792167
Dragonair	0.0784522
"Alaska Airlines"	0.0783607
NiSource	0.0781728
"Philippine Airlines"	0.0759833
"Northwest Airlines"	0.0741709
OCA	0.0735902
"Thai Airways"	0.0734405
Swissair	0.073185
KNU	0.0728695
"China Airlines"	0.0728199
Garuda	0.0721124
Alitalia	0.071736
TWA	0.071658
"Home Affairs"	0.0712759
ValuJet	0.0706908
"America West Airlines"	0.0704028
"Southwest Airlines"	0.0703394
"Malaysia Airlines"	0.0703326
Comair	0.0702958
LTCB	0.0702761
KLM	0.0694898
Eurotunnel	0.0693113
Omnipoint	0.0691974
"Air France Concorde"	0.0689172
IEC	0.0688052
CNPC	0.0684035
DrKoop.com	0.0680646
COSCO	0.0679724
"True North"	0.0665758
CITIC	0.066165
TYCO	0.0658132
Ba	0.0657904
CCE	0.0656323
BIA	0.0652815
"MCI Worldcom Inc."	0.0652538
turboprop	0.0648391
"J&AMP;J"	0.0641074
Fedex	0.0633693
"Board of Investment"	0.0633096
PSE	0.0632066
SAS	0.0631616
"Nigerian National Petroleum Corporation"	0.0627263
HKFA	0.0620051
Albertson's	0.0614477
UAL	0.0613553
"Ethiopian Airlines"	0.0610774
CBK	0.0610144
CAAC	0.0609486
"Thermo Electron"	0.0607476
PBSI	0.060724
GANNETT	0.0607121
"American Airlines"	0.0605845
NASD	0.0603963
UNAMET	0.0603956
"Reno Air"	0.0601307
Iberia	0.060129
"Home Ministry"	0.059921
LAUSD	0.0598275
Bestfoods	0.0597986
CNOOC	0.0597956
Massport	0.059724
"Times Mirror"	0.0597226
YankeeNets	0.0597049
"Defense Agency"	0.0593807
IAF	0.0592501
"Times Co."	0.0588239
Cathay	0.0587653
Gilead	0.0587263
Amtrak	0.0586141
Starwood	0.0585475
"Telecom Italia"	0.058401
Conrail	0.0580195
"Continental Airlines"	0.0578456
DC-@@	0.0576105
USOC	0.0573806
Scripps	0.0571495
"China Southern Airlines"	0.057121
"P&AMP;G"	0.0569854
UTC	0.0566681
"bus company"	0.0565687
ZCCM	0.0565242
Embraer	0.0563904
"National Grid"	0.0562574
Emery	0.0562165
"Boston Scientific"	0.0558532
"Airbus A@@@"	0.0556653
SOCOG	0.0553897
AIRTRAN	0.0552165
Verizon	0.0551988
ENTREMED	0.0550679
Marketspan	0.0550216
Media-MOST	0.0549433
"Delta Air Lines"	0.0548151
"Hyundai Motor Co."	0.0543821
"Stride Rite"	0.0539524
Humana	0.0538122
"Health and Welfare Ministry"	0.0537325
"Fred Meyer"	0.0534676
NTT	0.053386
GEC	0.0533299
Bedell	0.0533119
USAir	0.053273
"merchant marine"	0.0531996
"American Home"	0.0529289
Federated	0.0528686
Pemex	0.0526049
"Park Place"	0.0525518
"Transport Ministry"	0.0523344
Aetna	0.0521923
RAF	0.052172
Stratus	0.052049
CCF	0.0519584
Asa	0.0519374
"Turkish Airlines"	0.0518343
Sabena	0.0517188
"Israeli Foreign Ministry"	0.0515969
"about @.@@ percent"	0.0515788
"Waste Management"	0.0513797
CMGI	0.0509458
Pacifica	0.050918
Telstra	0.0509136
NatWest	0.050593
McKesson	0.0505684
BOC	0.0503663
CIRC	0.0503018
"Peace Corps"	0.0502135
P-@	0.0500841
VENATOR	0.0500154
"six kilometers"	0.0498807
AMR	0.0497963
"Sprint PCS"	0.0497585
ENTERGY	0.0497114
"U.S. Air Force"	0.0496043
Sunbeam	0.0493324
RBA	0.0492036
Airtouch	0.0492
Lilco	0.0490004
Kroger	0.048925
Apache	0.0488851
"election commission"	0.0488616
MII	0.0487404
"Salt Lake Organizing Committee"	0.0485274
TDB	0.04848
CNTA	0.0484134
"Nippon Credit"	0.0480832
Cendant	0.0478938
Biogen	0.0477181
A@@@-@@@	0.0476361
"China Eastern Airlines"	0.0473654
"Berkshire Hathaway"	0.047338
INEC	0.047233
Airbus	0.0471849
"U.S. Navy"	0.0471443
"U.S. Trust"	0.0471027
"Board of Elections"	0.0470569
Delphi	0.047033
USEC	0.0469862
BNFL	0.0469374
"International Committee of Red Cross"	0.0468658
))
(bimbo (desc 3359.76) (sims
ingenue	0.0690122
divorcee	0.0652192
cheerleader	0.064602
overachiever	0.0609756
starlet	0.0608153
stripper	0.0588258
pro-life	0.0585561
biker	0.0579418
babe	0.0571153
"traffic cop"	0.0566184
Goddess	0.0564012
whore	0.0561318
hothead	0.0550814
Merapi	0.0545162
"young lady"	0.054246
bombshell	0.0539864
tomboy	0.0539625
junkie	0.0539141
transvestite	0.0533174
pro-choice	0.0531763
fifth-grader	0.0531133
blonde	0.0527684
diva	0.0526983
"prima donna"	0.0526189
"important person"	0.0525898
"movie star"	0.0521925
Virgin	0.0521201
breadwinner	0.052053
"good person"	0.0514682
"deep space"	0.0513288
pigtail	0.0505923
tramp	0.0501061
Hooker	0.0499607
worrier	0.049769
"guardian angel"	0.0496559
derriere	0.0495362
showgirl	0.0494881
Mayon	0.0494575
waitress	0.0493327
chambermaid	0.0492029
opportunist	0.0490741
lass	0.0489328
bloke	0.0487677
"pen pal"	0.0486352
nonentity	0.0485298
brunette	0.0478451
duckling	0.047702
housewife	0.0474212
supermodel	0.046847
bridesmaid	0.0468064
Judas	0.046609
stalker	0.0464991
"black cat"	0.046456
hippie	0.0462713
tress	0.0457154
"ballet dancer"	0.0454756
"black person"	0.0452463
"free spirit"	0.0451605
bluebird	0.0447459
"TV star"	0.0446636
miler	0.0445573
psychic	0.0445472
beautician	0.0444641
alcoholic	0.0443619
weirdo	0.044306
dude	0.0438709
co-anchor	0.0438567
procrastinator	0.0434271
temptress	0.0433709
bitch	0.0430821
wacko	0.042978
"grim reaper"	0.0429053
"fashion model"	0.042504
idealist	0.0424173
redhead	0.0423575
interloper	0.041782
mistress	0.0416001
nerd	0.0415999
"hard worker"	0.0415495
bigot	0.041391
"drug user"	0.0412366
sidekick	0.0412107
upperclassmen	0.0411142
molar	0.0411053
recluse	0.0409607
wimp	0.040953
"deputy sheriff"	0.0406491
"guitar player"	0.0406357
seamstress	0.0404574
"young person"	0.0404013
Luddite	0.0403667
))
("Bimbo Coles" (desc 1558.29) (sims
"Mookie Blaylock"	0.168705
"Jim Jackson"	0.152042
"Chris Gatling"	0.142935
"Voshon Lenard"	0.128965
"Brevin Knight"	0.126465
"Chris Mills"	0.125346
"David Wesley"	0.122678
"John Starks"	0.122578
"LaPhonso Ellis"	0.121282
"Terry Porter"	0.11768
"Jamal Mashburn"	0.114416
"Bob Sura"	0.114062
"Sherman Douglas"	0.113483
"Sam Cassell"	0.113016
"Brandon Granville"	0.111509
"Greg Anthony"	0.110982
"Michele Timms"	0.110642
"Eric Snow"	0.109065
"Larry Hughes"	0.108326
"Vernon Maxwell"	0.107204
"William Avery"	0.106826
"Tariq Abdul-Wahad"	0.106667
"Anthony Johnson"	0.106409
"Jason Terry"	0.10546
"Matt Santangelo"	0.105005
"Andre Miller"	0.10485
"Darrick Martin"	0.10425
"Kevin Johnson"	0.103858
"Darrell Armstrong"	0.100544
"Damon Stoudamire"	0.100146
"Brent Price"	0.100091
"Ron Harper"	0.0995709
"Wayne Turner"	0.0991548
"Dawn Staley"	0.0973342
"Ed Gray"	0.0959147
"Eric Murdock"	0.093571
"Travis Best"	0.0933191
"Terrell Brandon"	0.0928011
"Rod Strickland"	0.0927343
"Randy Brown"	0.0921906
"Chris Childs"	0.0915523
"Eric Piatkowski"	0.0893741
"Howard Eisley"	0.0892802
"Anfernee Hardaway"	0.0888536
"Bonzi Wells"	0.0877412
"Antonio Daniels"	0.0871651
"Otis Thorpe"	0.0849875
"Robert Pack"	0.0845433
"Dikembe Mutombo"	0.0837031
"Steve Smith"	0.0833401
"Ryan Bailey"	0.0832655
"Penny Hardaway"	0.082682
"Ukari Figgs"	0.0820703
"Derek Harper"	0.0814382
"Baron Davis"	0.0806467
"Jeff Trepagnier"	0.0802864
"Bryce Drew"	0.0801805
"Teresa Weatherspoon"	0.0785495
"Kim Perrot"	0.0778988
"Steve Nash"	0.0777616
"Michael Finley"	0.0776336
"Erick Barkley"	0.0774514
"Alan Henderson"	0.0766373
"Bruce Matthews"	0.0763976
"Chauncey Billups"	0.0761322
"Kenny Anderson"	0.0757037
"B.J Armstrong"	0.0752819
"Mark Jackson"	0.0752327
"Tracy McGrady"	0.0746059
"Walt Williams"	0.0743988
"Isaiah Rider"	0.0742681
"Lorenzen Wright"	0.0740598
"Scoonie Penn"	0.073406
"Kris Clack"	0.0728115
"Earl Watson"	0.072019
"Avery Johnson"	0.0710745
"Nick Van Exel"	0.0710033
"Donyell Marshall"	0.0709314
"Clarence Weatherspoon"	0.0708537
"Shammond Williams"	0.0708102
"Grant Long"	0.0707572
"Mike Bibby"	0.0703545
"Ricky Moore"	0.0702447
Scoonie	0.0699723
"Michael Redd"	0.0699524
"Doug Christie"	0.0697586
"Eddie House"	0.0693064
"Derek Fisher"	0.069291
"Sam Mack"	0.068264
"Antawn Jamison"	0.0677954
"Khalid El-Amin"	0.0676517
"Christian Laettner"	0.0674594
"Tyronn Lue"	0.0665811
"John Stockton"	0.0658899
"Eric Williams"	0.0656459
"Dana Barros"	0.0653649
"Tim Hardaway"	0.0652361
"George McCloud"	0.0642073
"Malik Sealy"	0.0629706
"Bobby Phills"	0.0610727
"Nikki McCray"	0.0608695
"Gene Williams"	0.060415
"Charlie Ward"	0.0600534
"Ron Artest"	0.059723
"Hersey Hawkins"	0.0582984
"Dion Glover"	0.0581832
"Mateen Cleaves"	0.0581391
"Billy Knight"	0.0578846
"Joe Dumars"	0.0576251
"Terry Cummings"	0.0575558
"Hu Weidong"	0.0571126
STALEY	0.0568936
"Austin Croshere"	0.0568885
"Brian Shaw"	0.056653
"Derek Anderson"	0.0564869
"Jason Williams"	0.0560438
"Mark Williams"	0.0559281
"Dickey Simpkins"	0.0556117
"Heath Irwin"	0.0554552
"Nick Anderson"	0.054862
"Courtney Alexander"	0.0537502
"Allan Houston"	0.0533091
"Kerry Kittles"	0.0532609
"Pat Garrity"	0.0531388
"Jimmy Oliver"	0.0525818
"Eddie Jones"	0.0525791
"Stephon Marbury"	0.0521654
"Jerry Stackhouse"	0.051811
"Rico Hines"	0.0517438
"Jeff Hornacek"	0.0515165
"Rex Chapman"	0.0509681
"Hubert Davis"	0.0509086
"Jaren Jackson"	0.0508569
"Ron Mercer"	0.0507381
"Clyde Drexler"	0.0506981
"Matt Maloney"	0.0504555
"Ray Young"	0.0504039
"J.R Reid"	0.0500715
"Michael Dickerson"	0.0499244
"Steve Francis"	0.0499158
"Jalen Rose"	0.0491733
"Rick Fox"	0.049087
"Nate Newton"	0.0484487
"Doc Rivers"	0.0484023
"Kendall Gill"	0.047755
"Mario Elie"	0.0464868
Trepagnier	0.046358
"Brent Barry"	0.0457391
"Niklas Sundstrom"	0.0456254
El-Amin	0.0453358
Garrity	0.0447808
"Cuttino Mobley"	0.0442802
Timms	0.0442567
"Chris Crawford"	0.0442355
"Dale Ellis"	0.0437708
"Ken Kocher"	0.0437628
"Tony Hutson"	0.043205
"Antoine Walker"	0.0430821
"Dale Davis"	0.0429561
"Toby Bailey"	0.0428524
"Todd Rucci"	0.0424511
"Max Lane"	0.0419902
"Dennis Johnson"	0.0418342
Hlavac	0.04168
"Mitch Richmond"	0.0404419
Stoudamire	0.0403953
))
(Bin (desc 29614.2) (sims
drawer	0.122916
"garbage can"	0.103835
compartment	0.101555
container	0.100766
closet	0.0978355
box	0.0975659
shelf	0.0950554
"trash bin"	0.0943669
bag	0.0914787
tray	0.0905518
rack	0.0900651
trunk	0.0880751
pocket	0.0874548
"trash can"	0.0857136
freezer	0.0844266
cupboard	0.0827125
suitcase	0.0816623
pile	0.0805473
Dumpster	0.0805435
briefcase	0.0796339
jar	0.0775971
"duffel bag"	0.0740208
locker	0.0718416
pit	0.0717907
backpack	0.0715281
dustbin	0.0711526
pantry	0.0711504
crate	0.0709563
Warehouse	0.070925
"file cabinet"	0.0705928
"shopping cart"	0.0699179
bathtub	0.0696803
bucket	0.0695824
pouch	0.0684047
truck	0.0679483
mailbox	0.0675512
refrigerator	0.0665534
folder	0.0658657
cooler	0.065261
Sheik	0.0647383
garage	0.0639166
tub	0.0638525
piles	0.063447
toilet	0.0633713
cart	0.0632823
aisle	0.0631506
cage	0.0630464
pot	0.0620374
storage	0.061853
landfill	0.0611524
tank	0.0611197
"gas tank"	0.0608764
ditch	0.0607404
bottle	0.0607393
pond	0.0604991
basement	0.0601887
"medicine cabinet"	0.0597759
cabin	0.0590015
"storage area"	0.0585874
"shopping bag"	0.0583206
bookcase	0.0580452
fridge	0.057907
carton	0.0578088
sack	0.0577524
bunker	0.057281
cellar	0.0566789
reservoir	0.0566454
bed	0.0564307
basket	0.0560743
van	0.0554973
wallet	0.054792
table	0.0544763
"storage room"	0.0539194
heap	0.0535403
"parking lot"	0.0535197
pail	0.0532954
barn	0.0530123
kitchen	0.0512287
pool	0.0507537
bowl	0.0507069
vent	0.0506882
bedroom	0.0504784
shelter	0.0504046
bookshelf	0.050386
"display case"	0.0503538
"water tank"	0.0501782
silo	0.0499704
coffer	0.0498405
"swimming pool"	0.0497981
barrel	0.0497098
window	0.0496358
"paper bag"	0.0494383
desk	0.0491242
screen	0.0491188
stalls	0.0491062
pipe	0.0488904
gutter	0.0488293
chute	0.0487745
booth	0.0485855
trailer	0.0485237
glass	0.0484679
auditorium	0.0478168
"storage space"	0.0477842
"water bottle"	0.0476519
library	0.0474476
Osama	0.0473521
dish	0.0467792
luggage	0.046769
culvert	0.0466244
trash	0.0465768
console	0.0464176
ravine	0.0463651
stack	0.0462562
gully	0.0462093
seating	0.046196
shack	0.046135
storefront	0.0459789
storehouse	0.0457166
basin	0.0456754
elevator	0.0455394
envelope	0.0453054
slot	0.0451848
lake	0.0451618
jug	0.0451352
apartment	0.045065
tent	0.0449794
bathroom	0.044956
drum	0.0449105
classroom	0.0447021
walkway	0.0446216
"back room"	0.0445428
hangar	0.0445353
pan	0.044492
frame	0.0443986
canister	0.044369
cubicle	0.0443198
depot	0.0437282
stacks	0.0436221
cavity	0.0435751
grid	0.0435299
hauler	0.0434501
"waiting room"	0.0433076
latrine	0.0432962
gallery	0.0432299
VAT	0.0431508
coffin	0.0430595
purse	0.0430351
binder	0.043031
vault	0.042847
tube	0.0425503
deck	0.0424472
Garbage	0.0424431
"parking space"	0.0423706
shaft	0.042335
mirror	0.0423213
hanger	0.0423174
catalog	0.0422425
"picture frame"	0.042208
cylinder	0.0422003
showroom	0.0421798
hut	0.0421584
tunnel	0.0420115
"coffee cup"	0.041981
mall	0.0418164
greenhouse	0.0417474
Tin	0.0416988
"hotel room"	0.0416948
garden	0.0416673
"bank account"	0.0416481
"storage tank"	0.0416371
sheet	0.0412243
plate	0.0411723
wagon	0.0410428
"time capsule"	0.0409498
ashtray	0.0409013
vase	0.0408514
cave	0.040713
saucepan	0.0406559
hallway	0.0406499
"tractor trailer"	0.0404537
sewer	0.0404069
mouth	0.0402613
cafeteria	0.0401493
nest	0.0400886
))
("Bin Laden" (desc 6244.33) (sims
Laden	0.248516
"Osama Bin Laden"	0.239386
Osama	0.186869
"Abu Nidal"	0.136105
Mikhailov	0.128609
"El Hage"	0.110672
Ressam	0.106462
Kopp	0.104187
Brunner	0.103748
Basayev	0.101591
"Ahmed Ressam"	0.101432
Berlusconi	0.0999364
Carruth	0.0997047
Kalejs	0.0987992
Mladic	0.0982928
Natale	0.0969245
Karadzic	0.0965304
Merlino	0.0951409
Brownlee	0.0941432
Kimeses	0.0924895
Blackthorne	0.0910981
Resendez-Ramirez	0.0895548
Frankel	0.0875229
Ocalan	0.0862219
Gravano	0.085447
Gotti	0.085044
Shayler	0.0844922
Montesinos	0.0840359
Haouari	0.0831828
"Martin Frankel"	0.082825
Villanueva	0.0828192
Stayner	0.0802865
Demjanjuk	0.0802471
Oviedo	0.0797971
Deri	0.0787237
Talal	0.0786742
Seselj	0.0784862
Berisha	0.0779312
Blanton	0.0774499
Ntuyahaga	0.0770067
Ntakirutimana	0.0766146
"Russell Peeler"	0.0754992
Hirschfeld	0.0752604
Noboa	0.0749768
Prabowo	0.0746957
Babitsky	0.0736553
Sharansky	0.0735047
Al-Amin	0.0734174
Sakic	0.0732422
Gusinsky	0.0723476
Baumhammers	0.0720135
Agca	0.0716592
"Raul Salinas"	0.0716581
Raznatovic	0.0713045
Kagalovsky	0.0712589
Karr	0.0711655
Cubas	0.0706108
Trie	0.0703183
Krstic	0.069541
"Michael Skakel"	0.0694019
Romanowski	0.0688897
Piggie	0.068417
Salim	0.0684023
Yosef	0.068365
Hsia	0.0682048
Ghani	0.068031
"Carlos Salinas"	0.0678763
Hanna	0.0673398
Rifaat	0.0672756
Kiareldeen	0.0672214
"Sam Rainsy"	0.0672019
Connerly	0.0668907
Muhammad	0.0667067
Lazarenko	0.0666146
Schreiber	0.066427
Sankoh	0.0663756
"Edwin Edwards"	0.0662303
"Eric Rudolph"	0.0655654
Berezovsky	0.0654728
Demaci	0.0653526
Lileikis	0.065072
Cavallo	0.065063
Marcos	0.0648642
"Eric Robert Rudolph"	0.064827
Priebke	0.0648085
Rudolph	0.064585
Ganga	0.0644487
Saudi	0.0642557
"second person"	0.064
Coles	0.0636865
Libyan	0.0636244
Swango	0.0632922
Yassin	0.0628514
Arkan	0.0628459
Ouattara	0.0623601
"John Kim"	0.0622652
Flemmi	0.0622048
Hijacker	0.062132
Jewell	0.0620045
"Maturino Resendez"	0.0618326
Speight	0.0615939
Mohamed	0.0615397
Soliah	0.0615018
Hensley	0.0614513
"Shamil Basayev"	0.0613576
Mordechai	0.0613366
"Cuban American National Foundation"	0.0610654
Meggett	0.0609862
Strauss-Kahn	0.0609578
Nathaniel	0.0608657
Raduyev	0.0606468
Dostum	0.0604197
Algerian	0.0603851
"Al Fayed"	0.0603028
Hage	0.0601937
"Natan Sharansky"	0.0600557
Quackenbush	0.0599604
Salemme	0.0598635
Borodin	0.0598413
"George Speight"	0.0595554
Hamid	0.0595522
Berenson	0.0594628
Barton	0.0594405
Kazhegeldin	0.0593799
Connolly	0.0591705
Neulander	0.0587503
Schwarz	0.0587424
Drabinsky	0.0587081
"Xu Wenli"	0.0585563
fugitive	0.0584452
Haider	0.0582621
Cisneros	0.0579191
"Maturino Resendiz"	0.0578527
Bulger	0.0578434
Imperatori	0.0577767
Nkabinde	0.0577259
"Ta Mok"	0.0577083
Rugova	0.0576219
Musa	0.057512
Trischitta	0.0573725
Ahmed	0.0572634
"Suu Kyi"	0.0572468
Shinn	0.0571893
Haughey	0.0571639
Krajisnik	0.0569953
Einhorn	0.0569618
Perot	0.0564986
"Rae Carruth"	0.0562548
Dodik	0.0560404
Arizmendi	0.0560209
Izetbegovic	0.0559318
Weizman	0.0557176
Skakel	0.0556624
Carlos	0.05566
Espinosa	0.0556059
Bove	0.0554924
Meskini	0.055478
chun	0.055229
Luzhkov	0.0551764
Sezer	0.0551753
al-Megrahi	0.0551724
Robb	0.0551641
Yates	0.0549864
Farrakhan	0.0548121
Bhutto	0.0543415
Kaunda	0.0542618
Winkler	0.0541667
Ibrahim	0.0541027
Pinochet	0.0540726
Barrionuevo	0.0540271
"Richard Jewell"	0.053979
"Khun Sa"	0.0538997
Abiola	0.0538618
GIA	0.0538516
Chmura	0.0537944
Capano	0.0537474
McLane	0.0536753
McWilliams	0.053653
Oswald	0.0536292
Draskovic	0.0536032
"Dinko Sakic"	0.0533155
Jorgensen	0.0532091
Stearns	0.0531707
Turabi	0.0531575
Kaplan	0.0531224
Faget	0.0530232
peeler	0.0530177
Soeharto	0.0529526
xu	0.052911
Olson	0.0529083
Manley	0.0528545
Borrego	0.0528201
Bragman	0.0527689
Kaczynski	0.05273
Arum	0.0525903
furrow	0.0525781
Kony	0.0525193
Schaeuble	0.0524408
Gritz	0.052392
Ovitz	0.0523825
))
(bind (desc 4180.64) (sims
quandary	0.157234
vise	0.133362
Catch-@@	0.126848
predicament	0.112829
dilemma	0.105537
"line of fire"	0.102841
snit	0.0974656
straitjacket	0.0836414
conundrum	0.08206
"good shape"	0.0820177
warp	0.0806767
Rut	0.0762379
trance	0.075389
"identity crisis"	0.074519
"deposit box"	0.0741314
jeopardy	0.0741151
"liquidity problem"	0.0737931
quagmire	0.0736046
"vicious circle"	0.073596
crosscurrent	0.0734876
"frame of mind"	0.0708985
wrangle	0.0702653
"cash crunch"	0.0698238
limbo	0.0680912
pickle	0.06725
"poker game"	0.0671797
tug-of-war	0.0656034
"crisis situation"	0.0655351
muddle	0.0632053
"shell game"	0.0628167
anticlimax	0.0627313
crunch	0.0625543
tightrope	0.0622043
"waiting game"	0.0609196
fracas	0.0595726
"proxy fight"	0.0590839
morass	0.0588824
brinksmanship	0.0587937
Funk	0.0584673
escrow	0.0579081
"hot seat"	0.0576513
ruckus	0.0571782
shamble	0.0567518
cataclysm	0.0567478
squabble	0.0566672
tussle	0.0565711
ballgame	0.0565637
"glove compartment"	0.0563607
purgatory	0.0556631
tailspin	0.0555087
peril	0.0554869
receivership	0.0553707
tizzy	0.0549476
fistfight	0.0547059
helix	0.0546224
"foster home"	0.0545761
gridlock	0.0545299
"petri dish"	0.0540671
logjam	0.0539891
strait	0.053865
brinkmanship	0.0537972
disarray	0.0537716
misnomer	0.053362
downdraft	0.0529426
nonevent	0.0526202
uproar	0.0525724
firestorm	0.0525055
"inferiority complex"	0.052106
vacuum	0.0516919
"wrestling match"	0.0516116
"cookie jar"	0.0511413
Dumpster	0.0510286
triage	0.0509127
spat	0.0508671
doghouse	0.0507613
"character assassination"	0.0506186
chicanery	0.0503266
slugfest	0.0502995
overstatement	0.0502331
"custody battle"	0.0500687
letdown	0.0499302
unpleasantness	0.0495104
"line of work"	0.0495013
"hole in the ground"	0.0491568
dogfight	0.0491529
"hot potato"	0.0491124
gamesmanship	0.0490567
paradox	0.0488289
"breathing room"	0.0487898
"sour grapes"	0.0487837
individualist	0.0487292
"no man's land"	0.0487286
in-fighting	0.0486869
wallop	0.0485304
imbroglio	0.0484643
horse-trading	0.048382
sparring	0.0481513
Rubicon	0.048071
anomaly	0.0478801
"hanky panky"	0.0478684
maelstrom	0.0478119
crevice	0.0475371
crosswind	0.0474912
mind-set	0.0471715
updraft	0.0471079
fakery	0.0471012
dragnet	0.046962
whammy	0.0468257
cul-de-sac	0.0466892
constraint	0.0465943
whirlwind	0.0465865
brouhaha	0.0464677
crossfire	0.0463984
lather	0.0462181
overkill	0.0460113
"moral hazard"	0.0454008
craziness	0.0453573
tradeoff	0.0452039
contradiction	0.0451594
Wishbone	0.0451528
stomachache	0.0451202
maneuverings	0.0450041
tatter	0.0448193
heretic	0.0446891
hassle	0.0445176
inequity	0.044485
"contempt of court"	0.0442522
crackpot	0.0442363
contrivance	0.0442363
"sleight of hand"	0.0441913
polarization	0.044134
lockstep	0.0440883
revers	0.0440508
tiff	0.0439058
oversimplification	0.0438065
"social contract"	0.043725
salchow	0.0436362
bloodletting	0.0435967
slippage	0.0435621
firefight	0.0434087
coma	0.0433623
prognostication	0.0433616
equilibrium	0.0433429
cudgel	0.04327
murder-suicide	0.0431372
zinger	0.0431069
"saber rattling"	0.0429999
"time capsule"	0.0428293
Truism	0.0428266
shambles	0.0427609
mischief	0.0427423
"parlor game"	0.0427044
"damage control"	0.0425286
heartbreaker	0.0425188
"state of mind"	0.0425112
whipping	0.0423661
mindset	0.0423348
chasm	0.0421977
travesty	0.0421971
haggling	0.0420859
shenanigan	0.0420544
miscalculation	0.041807
hardship	0.0417421
foul-up	0.0415701
"double boiler"	0.0415009
agitation	0.0414859
mailbox	0.0414788
"medicine cabinet"	0.0412786
wonk	0.0412007
anachronism	0.0411777
schism	0.0411235
"dead heat"	0.0410178
enigma	0.0409139
gadfly	0.0408216
mega-mergers	0.0407149
dustup	0.0406897
"piece of work"	0.0405927
paralysis	0.0405184
"public domain"	0.0404805
nastiness	0.0404012
"leadership position"	0.0403879
underpinning	0.0402675
"trash bin"	0.0402618
acrimony	0.0402224
alchemy	0.0401388
doldrums	0.0400808
"soul mate"	0.0400756
))
(binder (desc 6193.56) (sims
"file cabinet"	0.0974692
briefcase	0.0966563
"shopping bag"	0.0932938
folder	0.0875353
"duffel bag"	0.0854717
notebook	0.0847093
scrapbook	0.0833478
suitcase	0.0798791
backpack	0.0796393
workbook	0.0796067
"ballpoint pen"	0.0715895
packet	0.0685815
overcoat	0.0668566
crayon	0.0658534
crate	0.0657875
pouch	0.0654118
dossier	0.0652241
"grocery bag"	0.0630846
sheaf	0.0618658
satchel	0.0616851
wallet	0.0609045
"paper bag"	0.0598848
envelope	0.0588408
Dumpsters	0.0563518
"filing cabinet"	0.0560697
wheelbarrow	0.0551939
yearbook	0.0551412
wristband	0.0537145
textbook	0.0533069
gouache	0.0523
ream	0.0522531
manual	0.0522395
knapsack	0.0522189
tome	0.0520911
"phone book"	0.05202
"sheet of paper"	0.0518023
Greenwald	0.0515886
notepad	0.0513519
wastebasket	0.0511874
Fiorina	0.0508305
apron	0.0507205
jar	0.0506573
booklet	0.0503559
pencil	0.050266
bathtub	0.0499507
vase	0.049353
printout	0.049045
Cleary	0.0485941
Britton	0.0485624
"two boxes"	0.0482807
"shopping cart"	0.0479327
Jaffe	0.0478755
pinwheel	0.0478424
"boxing glove"	0.0474224
carton	0.0472013
"two bags"	0.0469105
cooler	0.0468412
armband	0.0466622
"tractor trailer"	0.0464855
trunk	0.0464328
"mink coat"	0.0462109
legging	0.0461761
summary	0.0460724
tray	0.045758
wad	0.0452658
easel	0.0450292
Rolodex	0.0449432
"book bag"	0.044848
"display case"	0.0447438
"garbage can"	0.0447173
drawer	0.0446949
docket	0.04456
"air bubble"	0.0445299
"tote bag"	0.0444258
"rubber band"	0.0441961
pamphlet	0.0440672
"government minister"	0.043956
miniskirt	0.0437603
"tissue paper"	0.0436812
dictionary	0.0435596
"baseball cap"	0.0431966
flask	0.0431382
Bin	0.043031
belly	0.0428397
paintbrush	0.0427378
Barad	0.0427232
cartridge	0.0426023
"golf bag"	0.0425706
urn	0.0425164
shoelace	0.0424405
eyeliner	0.0421215
tile	0.0416494
canister	0.0415597
G-string	0.0415189
"nail polish"	0.0414594
coffin	0.0413161
mailbox	0.041198
pail	0.041187
bandanna	0.0409935
parka	0.0409889
brochure	0.0409793
"reference book"	0.0409163
pantsuit	0.0407874
"evening bag"	0.0406992
cylinder	0.0406924
"cocktail dress"	0.0406239
wiseguy	0.040601
bouquet	0.0404938
Berenson	0.0404506
coverall	0.0403895
"time capsule"	0.0403433
"water bottle"	0.0401482
jug	0.0401316
"Honda Civic"	0.0400141
))
(binding (desc 5040.27) (sims
snowboards	0.0621633
legging	0.0596188
G-string	0.0552613
stitching	0.0536988
"cowboy hat"	0.0495911
packaging	0.0493921
miniskirt	0.0493424
"hot pants"	0.0492665
parka	0.0477604
"fishing gear"	0.0475448
typeface	0.0472176
"dust jacket"	0.0465425
Quill	0.0460244
"lounge chair"	0.0459464
upholstery	0.0451065
mitten	0.0445876
"oil paint"	0.0438878
bracelet	0.0434324
"annual payment"	0.0433613
Thong	0.0433314
angiogenesis	0.0424513
choker	0.0423582
"rubber band"	0.0420467
louver	0.0416986
barrette	0.0407674
chap	0.0405681
))
(Bing (desc 1904.89) (sims
Jian	0.158327
Xiang	0.147386
Hao	0.140518
Meng	0.139779
Qiang	0.126064
Yan	0.104503
Hong	0.103764
Hua	0.102095
Shan	0.100178
Yu	0.0997082
Min	0.096011
Xiao	0.0935536
Ying	0.0922756
Peng	0.0910918
Hui	0.0908364
Zhong	0.0906801
Xin	0.0888849
Nan	0.0887362
Eggers	0.0882941
Kai	0.0878792
Jin	0.0875688
"Brian Cashman"	0.085785
Tong	0.0780531
Lei	0.0769268
ippon	0.0756262
Yi	0.0743576
Ji	0.0731209
Yong	0.0724359
Wei	0.0698811
Feng	0.0684991
Liang	0.0676342
Dan	0.0662076
"Wang Yan"	0.0654043
Alderson	0.0635378
Cheng	0.0630013
Sykes	0.0622253
Hirst	0.0621966
Abner	0.0618611
Ni	0.0614787
xu	0.060197
Yang	0.0586019
Ju	0.0572522
Mlicki	0.0562239
"Dee Dee"	0.0559552
Chao	0.0554064
NA	0.0551876
Qin	0.0546041
"Chen Hua"	0.0541251
Jayakumar	0.0539258
"Neil Smith"	0.0534393
"Chris Ofili"	0.0534247
Guan	0.0531812
Clements	0.0531783
Ka-shing	0.0527551
MCC	0.0526488
Jing	0.052362
Lin	0.0521433
"Dan Duquette"	0.0519082
Ping	0.0518762
"de Charette"	0.0516002
Dutton	0.0508583
Meguid	0.0494525
Jia	0.0491783
Christo	0.0484979
"Kevin Malone"	0.048298
"John Shalikashvili"	0.0481701
Knapp	0.0480571
Pryor	0.0479272
Mendez	0.047831
FitzPatrick	0.0477583
Zhenyu	0.0476506
"Glen Sather"	0.0475877
Napolitano	0.0475719
Tintin	0.0475662
MacKay	0.0470421
folio	0.0470169
Galbraith	0.0467197
Echols	0.0466679
Xia	0.046633
Julius	0.0465642
Lamberth	0.0465636
Waddell	0.0465585
Macdonald	0.0465011
Chung	0.0462455
Schieffer	0.0455517
Spenser	0.0454899
Burba	0.0452345
Qian	0.0451308
Milbury	0.0450034
"old times"	0.0447441
Kasoulides	0.0447121
Posner	0.0446948
Grisham	0.0446783
DiCarlo	0.0446405
Ashrawi	0.0444543
Murayama	0.0442636
Yun	0.0442534
"Lin Li"	0.0441535
Wolff	0.0440181
Sheehy	0.043952
Ling	0.043835
Bonanno	0.0434621
Moratinos	0.0434289
O'Malley	0.043352
Osborne	0.0432925
Spector	0.0430609
Cheung	0.0430439
Koznick	0.0430329
"Secretary General Esmat Abdul-Meguid"	0.0430084
Yoakam	0.0429541
Gossage	0.0428838
Ruehe	0.0428521
Kyprianou	0.0427605
Fernandes	0.0427254
Rudman	0.0427205
Kessler	0.0425521
Vogel	0.0424295
Felton	0.042393
Xue	0.0423174
McCartney	0.0419145
Cao	0.0419104
Pei	0.041838
Nakamura	0.0417557
Yosef	0.0417445
Patel	0.041707
"Ernie Grunfeld"	0.0416645
Winthrop	0.0415896
Bavasi	0.0415838
Edelman	0.0413918
Hamdoon	0.0413036
Walesa	0.041289
"Henry H. Shelton"	0.0411344
"Mike Holmgren"	0.04111
Pangalos	0.0410946
Moby	0.040988
egghead	0.040976
Zheng	0.0407825
"Xia Xuanze"	0.0406945
unicorn	0.0405821
Mohr	0.0405486
LU	0.0404514
Farber	0.0404378
Shatner	0.0404167
Pappas	0.0404024
Berg	0.0403797
Abdel-Meguid	0.0403603
))
("Bing Crosby" (desc 3880.68) (sims
"Ella Fitzgerald"	0.160725
"Billie Holiday"	0.159991
"Frank Sinatra"	0.156806
"Jimmy Stewart"	0.155415
"Gary Cooper"	0.153134
"Nat King Cole"	0.138153
"Clark Gable"	0.136892
"Cary Grant"	0.133783
"Sammy Davis Jr."	0.130461
"Milton Berle"	0.125617
"John Wayne"	0.123783
"Tony Bennett"	0.122664
"Jack Benny"	0.115409
"Gene Kelly"	0.113291
"Bob Hope"	0.112767
"Spencer Tracy"	0.110404
"Fred Astaire"	0.109148
"Marilyn Monroe"	0.107893
"Marlon Brando"	0.107214
"James Cagney"	0.104887
"Dean Martin"	0.104632
"Benny Goodman"	0.104498
"Lucille Ball"	0.102461
"Irving Berlin"	0.100292
"Marlene Dietrich"	0.0987943
"Count Basie"	0.0979476
"Judy Garland"	0.095357
"James Stewart"	0.0944766
"Louis Armstrong"	0.0943469
"Barbra Streisand"	0.0921669
"Humphrey Bogart"	0.0917061
"Charlie Chaplin"	0.0898381
"Audrey Hepburn"	0.0895696
"Duke Ellington"	0.0893746
"Elizabeth Taylor"	0.0867723
"Julie Andrews"	0.0849366
"Burt Lancaster"	0.0811792
"Dizzy Gillespie"	0.0810742
"Elvis Presley"	0.0808908
"Jerry Lewis"	0.0804885
"Sidney Poitier"	0.0779606
"Steve Allen"	0.0771293
"Ava Gardner"	0.0766007
"Marx Brothers"	0.076057
"Johnny Carson"	0.0757528
"Paul Robeson"	0.0752612
"Liza Minnelli"	0.0745396
"Bette Davis"	0.0741656
"Bill Cosby"	0.0740842
"Johnny Cash"	0.0720516
"Ray Charles"	0.0714489
"Cole Porter"	0.0710436
"George Gershwin"	0.0708078
"Greta Garbo"	0.0706298
"Clint Eastwood"	0.069935
"Charlie Parker"	0.0696978
"Henry Fonda"	0.0663243
"Errol Flynn"	0.0654872
"Will Rogers"	0.0652319
lassie	0.0649307
"Jacqueline Kennedy"	0.0631706
"Aretha Franklin"	0.0620225
Sinatra	0.0617065
"Sonny Bono"	0.0614314
Liberace	0.0611542
"Frank Capra"	0.0609417
"Jodie Foster"	0.0607086
"Steve McQueen"	0.0602066
"Jack Lemmon"	0.0599393
"Roy Rogers"	0.0595493
"Grace Kelly"	0.0592939
"Bob Dylan"	0.0590797
"Robert de Niro"	0.0573068
"Mother Teresa"	0.0565597
Dolores	0.05649
"Katharine Hepburn"	0.0563255
"Joni Mitchell"	0.0558044
"Joan Crawford"	0.0557245
"Dwight D. Eisenhower"	0.0551577
"Miles Davis"	0.054258
"Lana Turner"	0.0538877
"Celine Dion"	0.0537498
"Kirk Douglas"	0.0534434
"Van Morrison"	0.0530494
Cher	0.0527489
"Howard Hughes"	0.0527383
"Carol Burnett"	0.0526071
"Christopher Reeve"	0.0525096
"Jack Nicholson"	0.0519709
"Gene Autry"	0.0518049
"Jack Dempsey"	0.0515285
"Josephine Baker"	0.0514131
"Anna Karenina"	0.0508132
"Hank Williams"	0.0504349
"James Dean"	0.0504048
Beatles	0.0497031
Presley	0.0496996
"W.C. Fields"	0.0495943
Elvis	0.0495904
"Billy Joel"	0.0494391
"Albert Brooks"	0.0494298
"Diana Ross"	0.0493883
"Rob Lowe"	0.0491684
Bard	0.0484624
Monkees	0.0482308
Crosby	0.0482161
"Warren Beatty"	0.0481302
"Thandie Newton"	0.0477104
"Goldie Hawn"	0.0476708
"Tom Jones"	0.0472341
"John Ford"	0.0467117
"Arnold Schwarzenegger"	0.0466416
"Lauren Bacall"	0.0466384
"Jim Carrey"	0.0463101
"Charlton Heston"	0.0461891
"HOWARD COSELL"	0.0460799
"Stevie Wonder"	0.0460583
"Muddy Waters"	0.0460558
"Jerry Garcia"	0.0459207
"Woody Guthrie"	0.0457273
"John Leguizamo"	0.0457237
"David Bowie"	0.0457189
Costner	0.0454056
"Rolling Stones"	0.0451048
"Mick Jagger"	0.0449965
"Tom Cruise"	0.0449741
Gershwin	0.0449039
"Sally Field"	0.0446067
"Harry Truman"	0.0439777
"John Belushi"	0.0438863
"James Earl Jones"	0.0435628
"Willie Nelson"	0.0435389
"Mae West"	0.0434945
"Ingrid Bergman"	0.0433885
troubadour	0.0433691
Selena	0.0432784
"Paul Simon"	0.0432574
"Robert Johnson"	0.0432463
"Buddy Holly"	0.043235
"Harrison Ford"	0.0432299
Shatner	0.0431602
"Keanu Reeves"	0.042826
"Buster Keaton"	0.0428134
"Sylvester Stallone"	0.0427208
"Audra McDonald"	0.0426935
"Matthew Broderick"	0.0426224
"Bugs Bunny"	0.0425182
"Spice Girls"	0.0424712
"Orson Welles"	0.0424652
"Tom Hanks"	0.0423648
Antony	0.0422591
"Elvis Costello"	0.0420955
"Dustin Hoffman"	0.041942
"George Burns"	0.0417662
Blondie	0.041765
"Jimi Hendrix"	0.041602
"Robin Williams"	0.0415922
"Oliver Stone"	0.0415351
"Andy Williams"	0.0415237
"Demi Moore"	0.0415139
"Renee Fleming"	0.0415018
"Jane Fonda"	0.0414808
"Alfre Woodard"	0.0413347
"Rat Pack"	0.0412817
"Brady Bunch"	0.0412168
"Jimmy Buffett"	0.0410631
"Richard Dreyfuss"	0.0408429
"Kim Basinger"	0.0407309
"Paul Newman"	0.0405227
"Mandy Patinkin"	0.0404223
"Robert DeNiro"	0.0403209
"Franklin Delano Roosevelt"	0.0402197
))
(binge (desc 11132.9) (sims
spree	0.133852
frenzy	0.0949197
spurt	0.0717767
splurge	0.0663659
boom	0.0654687
"work stoppage"	0.0638594
flurry	0.0619827
sickout	0.0615427
stupor	0.0601011
drinking	0.0598786
sell-off	0.0597481
blitz	0.0594152
stoppage	0.0593146
"budget debate"	0.0592268
orgy	0.0586582
drought	0.0559598
rampage	0.0551256
selloff	0.0547215
"market correction"	0.054464
jaunt	0.0542118
"fund-raising campaign"	0.0526297
battering	0.0523343
craze	0.051934
slump	0.0516909
blackout	0.0515305
"short covering"	0.0511409
spacewalk	0.0502756
habit	0.0501709
swoon	0.0500704
barrage	0.0498859
mania	0.0498696
boomlet	0.0495363
"crime wave"	0.0494858
"military drill"	0.0494162
"heat wave"	0.0490908
"price war"	0.048958
"rehabilitation program"	0.048774
"Bull Run"	0.0478467
"bull market"	0.0476141
downpour	0.047184
slowdown	0.0468426
"ad campaign"	0.0467228
walkout	0.0466221
lull	0.0462239
"military campaign"	0.0458665
"nervous breakdown"	0.045861
sabbatical	0.0457687
sit-in	0.0457335
fracas	0.045585
"New Wave"	0.0455008
"cold spell"	0.0453075
oversupply	0.045282
tailspin	0.0447041
hiatus	0.0444286
regimen	0.0442539
outburst	0.0441925
stayaway	0.0439804
"rapid growth"	0.0438822
"fatal accident"	0.0438632
looting	0.0438084
rainstorm	0.0437446
"hunger strike"	0.0435672
overpopulation	0.0434734
volatility	0.0434666
outage	0.0429624
upsurge	0.042961
moratorium	0.0428357
"price increase"	0.0425557
"advertising campaign"	0.0425429
"ad blitz"	0.0424643
outflow	0.0424619
smoking	0.0420824
odyssey	0.0419346
"marketing campaign"	0.041899
gunbattle	0.0418484
spate	0.0418255
"card game"	0.0417728
"marketing effort"	0.0414387
Addiction	0.0413824
stampede	0.0411589
rant	0.0410647
hoarding	0.0409952
spiral	0.0408749
turnaround	0.0408157
"drug abuse"	0.0408113
"acid rain"	0.0407198
excursion	0.0405826
upturn	0.0405047
"traffic jam"	0.0403934
retrenchment	0.0403576
"arms race"	0.0403268
firestorm	0.0402791
selloffs	0.0402335
"trade deficit"	0.0401575
glut	0.0400028
))
(Bingham (desc 1376.8) (sims
Menuhin	0.139226
Howe	0.102972
McGowan	0.101461
Saramago	0.101135
Rollins	0.10069
nance	0.0975743
Blackman	0.096848
Cullen	0.0959622
Hoffmann	0.0934122
Puzo	0.0933637
Riady	0.0904367
Segal	0.0903732
Burks	0.0899848
Kohn	0.0886332
Talebi	0.0882693
Hess	0.0881678
Acton	0.0874066
Wyly	0.086546
bock	0.0863002
Sims	0.0861721
Macdonald	0.0857344
Baez	0.085583
Gaston	0.0848266
Yoon	0.0840477
Baum	0.0832463
O'Hara	0.0827035
Burroughs	0.0821755
Godwin	0.0816982
"Mormon Church"	0.0815474
Shoate	0.0813749
Weisman	0.0812168
Brandt	0.0810395
Azizah	0.0809072
Rosenthal	0.0803667
Weil	0.0803425
Weiner	0.0791631
Cowan	0.0788731
Osborne	0.0787501
Wiggins	0.0787161
Mendez	0.0786926
Connell	0.0785002
Wyeth	0.0780596
Solis	0.0780466
Thurber	0.0779618
Krzyzewski	0.0773291
Dunne	0.0766549
Ftorek	0.0765529
McCartney	0.0763262
Pryor	0.0762909
Zou	0.0762825
Nickerson	0.0761101
smallholder	0.0760934
Deutsch	0.0757606
Rosenberg	0.0755741
Samuelson	0.0755314
Reyes	0.0754786
krueger	0.0751885
Whaley	0.0751547
Rawlings	0.0750917
Udall	0.0749247
Morse	0.0745733
Grisham	0.0745518
Kornberg	0.0745341
Atwood	0.0744262
Yount	0.0744168
Bonanno	0.074366
Espinoza	0.0741977
Nkomo	0.0741388
Belo	0.0737911
Cao	0.0737841
Adler	0.0737305
Hoch	0.0736785
Edelstein	0.0734864
DiPietro	0.0733312
Edelman	0.0732495
Weis	0.0731715
Haskins	0.0731576
Autry	0.073144
Ziegler	0.0729276
Quintero	0.0725316
Colbert	0.0724899
"Resistance Army"	0.0721762
Hartsburg	0.0721657
Alatas	0.0721275
McDonald	0.0720511
LU	0.0719946
Bessette	0.0719666
Insulza	0.0719194
Berenson	0.0718753
Pollack	0.0716995
Coolidge	0.0715831
Jensen	0.0715607
Bronfman	0.0714434
Locke	0.0712637
Monson	0.0709919
Larson	0.0709367
POLK	0.0709162
Fagan	0.0708518
sexton	0.0708307
Boyle	0.0707098
beamer	0.0706292
Ainge	0.0704772
Cleaver	0.0702332
Bodine	0.0695423
Whyte	0.0695253
McNamara	0.0693434
Qi	0.069205
Nivel	0.0691255
Zapruder	0.0687955
Dickey	0.0687761
Mueller	0.0685379
Garces	0.0684415
Iglesias	0.0680724
Bartlett	0.0680613
Hendrix	0.068055
Gauthier	0.0678651
Siegel	0.0678349
Higgins	0.0678089
Nadler	0.0676998
Cooke	0.067576
Andreychuk	0.0674294
Alexie	0.067402
Pyle	0.0673775
Mustafa	0.0673413
Culpepper	0.0672935
Vogel	0.066979
Hallinan	0.0668878
"Graham Greene"	0.0668457
Regan	0.066768
Moreno	0.0667134
Lombardi	0.0667128
Wildhorn	0.0666476
Erving	0.0665318
Hamzah	0.0663025
Zuckerman	0.0662954
Fraser	0.0661622
Wilhelm	0.0660625
Schrader	0.0659429
Silverstein	0.0658606
Robertson	0.0658559
Chappell	0.0658028
Mehta	0.0657861
Schaeffer	0.0657062
Passarella	0.0656479
Strauss-Kahn	0.0656423
Boller	0.0655777
Elgin	0.0655646
Cowens	0.0655219
Fleischer	0.0654828
Salinger	0.0654349
Bowles	0.0654232
Reese	0.0653975
Hanna	0.0651484
Heinrichs	0.0650864
Ebersol	0.0649478
Townsend	0.0647719
Jovanovic	0.0647398
Holtz	0.0647296
Kuehne	0.0647147
Ellsworth	0.064707
Jaffe	0.0646696
Purdy	0.0646644
Arens	0.0644009
Paxon	0.0643217
rudd	0.0643052
Postel	0.0642568
Rankin	0.0641694
Alfred	0.064135
Biggs	0.0639855
Rivlin	0.063952
Goldstein	0.0637446
Fitzgerald	0.0635937
Jayakumar	0.0635181
Gores	0.0633808
O'Connell	0.06333
Sanchez	0.0632001
Abernathy	0.06306
Kurosawa	0.0630036
Plunkett	0.0629374
Modell	0.0628878
"John Paul"	0.0628167
Oppenheimer	0.0627516
Meeks	0.0626615
Aleman	0.0626462
Remlinger	0.0626059
Guthrie	0.0625879
Dahmer	0.0625511
Schiffer	0.0625425
Padilla	0.0625414
Hartley	0.0625234
Bowden	0.0625119
Bulatovic	0.0624578
Donato	0.0624483
Maher	0.0623868
Narayanan	0.0623861
Faison	0.0622131
Halberstam	0.0622026
Malu	0.0621522
Harrell	0.062141
Engelberg	0.0621315
))
(Binghamton (desc 3849.32) (sims
"Stony Brook"	0.194107
Utica	0.18765
Elmira	0.176994
Albany	0.172408
Schenectady	0.157818
Watertown	0.149315
Yonkers	0.14269
"Niagara Falls"	0.136263
"White Plains"	0.136058
Syracuse	0.133704
"Saratoga Springs"	0.129288
Rochester	0.127317
Plattsburgh	0.124543
Buffalo	0.108417
"Fort Wayne"	0.107718
Harrisburg	0.105172
Chattanooga	0.101219
Youngstown	0.0972595
Albuquerque	0.0963667
"Garden City"	0.0918364
TRENTON	0.0911001
Wilmington	0.0898622
Ithaca	0.0897713
Naperville	0.0886212
"Guatemala City"	0.0885922
Jamestown	0.0884404
Akron	0.0859677
Hempstead	0.0853429
"Cedar Rapids"	0.0852128
"Des Moines"	0.0848996
Macon	0.0837938
Hartford	0.0823144
MINEOLA	0.0811297
"Watkins Glen"	0.0801266
Tucson	0.0794046
Minneapolis	0.0790986
"Sioux Falls"	0.0789822
"Little Rock"	0.0786374
Burlington	0.0786334
Poughkeepsie	0.0786273
Tarrytown	0.0784605
Montauk	0.0784526
Greenville	0.0780968
Port-au-Prince	0.0777533
"New Rochelle"	0.0776035
Larnaca	0.0773252
Honolulu	0.0764942
anchorage	0.076351
ASHEVILLE	0.0763034
"Fort Lauderdale"	0.0751567
"Mount Pleasant"	0.0748008
Columbus	0.0747408
Uniondale	0.0746341
"Santo Domingo"	0.0744936
Skaneateles	0.07428
"New Haven"	0.0739144
Morristown	0.0733207
TALLAHASSEE	0.0733029
Waterloo	0.0731502
"Westchester County"	0.0731254
Warwick	0.0729714
Springfield	0.0728435
Birmingham	0.0726994
Lubbock	0.0720966
Peekskill	0.0719817
Pelham	0.0715646
"Fort Worth"	0.070856
"San Juan"	0.0708529
Quito	0.0706382
Golcuk	0.0705106
"Rockland County"	0.0702796
Troy	0.0698425
"San Salvador"	0.0697284
Acapulco	0.0695916
Omaha	0.0692213
Huntsville	0.0691934
Managua	0.0688567
Louisville	0.0684824
Honiara	0.0683592
Indianapolis	0.0683142
"Oklahoma City"	0.0675144
Wichita	0.0674936
Hillsboro	0.0673849
Bridgehampton	0.0672687
Nabatiyeh	0.066838
"Erie County"	0.0667405
Spokane	0.0667296
"Mexico City"	0.0666987
Paterson	0.0666902
Charleston	0.0664679
"Lake Placid"	0.0663172
Chamonix	0.0662818
TEGUCIGALPA	0.0658194
"El Paso"	0.065791
Izmit	0.0655951
Ghent	0.0655864
Makhachkala	0.0654975
Raleigh	0.0654073
Lucerne	0.0652395
Providence	0.0651808
Lhokseumawe	0.065105
Chappaqua	0.0648036
"Quezon City"	0.0646055
Tampa	0.06458
Srinagar	0.0644261
Carmel	0.0643315
Gdansk	0.0643164
Peshawar	0.0641682
BOGOTA	0.0640299
Newark	0.0639657
Latham	0.0639604
Verona	0.0639569
"Salt Lake City"	0.0636262
Londonderry	0.0635921
Richmond	0.0632337
Topeka	0.0628491
Augusta	0.0625143
"Baton Rouge"	0.0624795
Duluth	0.0624066
Winston-Salem	0.0623845
Tacoma	0.0622922
Marjayoun	0.0620663
Belfast	0.0620581
Chatham	0.062047
Boise	0.0619659
Kingston	0.0618048
Assab	0.0616435
"Union City"	0.0615199
Middletown	0.0614234
Harlingen	0.0614043
"Washington D.C."	0.0613977
Dubuque	0.0612159
Yerevan	0.0611147
Bulawayo	0.0609748
Juneau	0.0609354
Worcester	0.0608064
Guadalajara	0.0607472
Pawtucket	0.0606988
Knoxville	0.0606687
CARACAS	0.0606591
Georgetown	0.0605146
SOFIA	0.060412
Sacramento	0.0603465
"Gwinnett County"	0.0602871
Nashua	0.0602706
"Quebec City"	0.060147
Holyoke	0.0601014
"Panama City"	0.0600383
Naples	0.0599117
Freeport	0.0596903
Cooperstown	0.0596574
"Grand Rapids"	0.0595236
Monrovia	0.0594981
"East St. Louis"	0.0594144
"Van Nuys"	0.0593562
Shreveport	0.0593423
"Corpus Christi"	0.0591595
BRIGHTON	0.0590792
Reykjavik	0.0586874
"Hyde Park"	0.058405
"Port Moresby"	0.0582813
Kalamazoo	0.0581241
Brunswick	0.0578762
Amherst	0.0577773
Tokaimura	0.0576724
"Montego Bay"	0.0574012
Rafah	0.0573868
Jericho	0.0572521
"Nassau County"	0.0572172
Tbilisi	0.0571607
"Grand Prairie"	0.0570807
Texarkana	0.0570439
Brownsville	0.057
Modesto	0.0569863
"Long Island City"	0.056942
"St. Paul"	0.0567956
Alexandria	0.0567088
Bloemfontein	0.0566336
Amarillo	0.0565505
Santiago	0.0564484
Greensboro	0.0562099
"Gaza City"	0.056209
bethel	0.0561985
LAKEWOOD	0.0560039
Mankulam	0.0558709
Nogales	0.0558075
Americus	0.0557759
Charlottesville	0.055741
Longview	0.0554958
Palmdale	0.0553698
PATNA	0.0552432
"Great Neck"	0.0552415
Provo	0.0551417
Lawrenceville	0.0550806
Mosul	0.0550803
"Mount Vernon"	0.0549703
"Buenos Aires"	0.0547161
Guayaquil	0.0544955
Eilat	0.0544088
Dushanbe	0.0543374
))
(Bingo (desc 5450.01) (sims
poker	0.189157
blackjack	0.17309
roulette	0.140428
"slot machine"	0.127595
billiards	0.102327
"miniature golf"	0.0942731
betting	0.0938499
croquet	0.0905366
raffle	0.0904983
lottery	0.0886887
crap	0.0874915
karaoke	0.0858872
gambling	0.0840878
pinball	0.081753
Scrabble	0.081177
"card game"	0.0770919
Powerball	0.0755109
domino	0.0726736
"game of chance"	0.0717424
solitaire	0.0696476
Gaming	0.0678823
"poker game"	0.0678081
ping-pong	0.0628239
checker	0.0611226
"horse racing"	0.0609352
chess	0.0606368
Lotto	0.060596
"afternoon tea"	0.0602488
sweepstake	0.0599121
"water sport"	0.0582255
"board game"	0.0570981
Baccarat	0.0564864
videophone	0.0559609
gotcha	0.0545667
"Memorial Tournament"	0.0541926
volleyball	0.0540181
"musical chair"	0.0534024
"National Invitation Tournament"	0.0509606
"ice skating"	0.0500889
"audio CD"	0.0500055
"six degrees"	0.0489178
bagpipe	0.0480605
"softball game"	0.0476829
riverboat	0.0474704
"basketball game"	0.0467425
softball	0.0460233
"video game"	0.0458845
brinkmanship	0.0458672
"theatrical performance"	0.0458627
"Home Run Derby"	0.0456501
Tabla	0.045483
"professional basketball"	0.0454663
horseshoe	0.0445688
dining	0.044416
gizzard	0.0431687
"professional baseball"	0.0431568
videogames	0.043022
"wireless telephone"	0.0427643
"Nintendo @@"	0.0426786
"Cactus League"	0.0426751
Frisbee	0.0426263
"horse race"	0.0424628
picnic	0.0420623
Haagen-Dazs	0.041909
forklift	0.0416422
quizzes	0.0415109
"round of golf"	0.0413017
vending	0.0410981
midrange	0.0403745
refreshment	0.0402835
"Midwest Regional"	0.0401858
snooker	0.0401608
Polo	0.0401261
))
(Bingol (desc 1947.36) (sims
Sirnak	0.70398
Hakkari	0.635688
Tunceli	0.502568
Diyarbakir	0.402586
Batman	0.189484
Mus	0.163895
Herat	0.156264
Tete	0.137528
Benguela	0.122112
"Chiang Rai"	0.118638
BIE	0.117004
"North Maluku"	0.116612
Mpumalanga	0.115788
Nyanza	0.112937
Bamiyan	0.112314
Sofala	0.109054
Katanga	0.106556
Pampanga	0.105928
Najaf	0.104889
Riau	0.0976783
Cotabato	0.0951701
Vojvodina	0.0936014
Antioquia	0.0929426
Palawan	0.0923137
Posoltega	0.0922076
Khost	0.0913468
Putumayo	0.0906922
Maguindanao	0.0887071
"East Kalimantan"	0.087548
Cabinda	0.0874077
Balochistan	0.0871346
"CHIANG MAI"	0.0869335
Sindh	0.0859416
Bursa	0.0828468
Izmir	0.0814741
Copperbelt	0.0810141
"Surat Thani"	0.0809547
Basilan	0.0802313
Phuket	0.080203
Basra	0.0801898
Sulu	0.0801632
Isfahan	0.0801256
Tigray	0.0789283
Limon	0.0770494
"East Nusa Tenggara"	0.0752227
Bushehr	0.0751417
"rift valley"	0.0746571
Norte	0.0746435
Samara	0.0739855
Antalya	0.0723895
Zamboanga	0.0718057
Cochabamba	0.0711992
"Mount Lebanon"	0.0697431
"West Kalimantan"	0.0693144
Bengkulu	0.0689669
Darien	0.0686421
Bataan	0.0683186
"West Java"	0.0680493
Davao	0.0679161
Huambo	0.0673316
Adana	0.0664783
Guantanamo	0.0663079
Punjab	0.0657417
"Siem Reap"	0.0654125
Toro	0.0654101
Murmansk	0.0652614
Gauteng	0.0649713
Cebu	0.0646919
Sur	0.0634832
Kwazulu-Natal	0.0629362
Maluku	0.0628056
"East Java"	0.0622853
Meta	0.062262
Krasnoyarsk	0.0620058
"Western Cape"	0.0603831
Hunan	0.0600727
Jiangxi	0.0590536
"Eastern Cape"	0.0587597
"Central Java"	0.0586821
Bekaa	0.0571195
Beersheba	0.0566859
Kurdistan	0.056597
UVA	0.0565695
Cordoba	0.056462
"South Sulawesi"	0.0554014
Baalbek	0.0552275
Taba	0.0528982
Jilin	0.0523574
Wildwood	0.0522967
Nago	0.0522634
Liege	0.051976
Catania	0.0519445
Lampung	0.0518265
KwaZulu/Natal	0.0517723
Avila	0.0516036
Sihanoukville	0.0515607
Surin	0.0512683
Haicheng	0.0509388
Rafah	0.0508289
"Serbian Republic"	0.0507977
Novosibirsk	0.0505624
Golcuk	0.0505425
Nagasaki	0.0504572
Santander	0.050315
Matamoros	0.0496806
Mazar-i-Sharif	0.049678
Kizlyar	0.0489396
Talipao	0.048673
Ashkelon	0.0484316
Caprivi	0.0483455
Ismailia	0.0477909
Taloqan	0.0476378
Izmit	0.0474955
Prijedor	0.0472464
Kandahar	0.0467295
Aswan	0.0467178
Batticaloa	0.0466816
"Free State"	0.0466487
quiche	0.0463883
Manitoba	0.0462349
"Bekaa Valley"	0.0460422
Malaga	0.0459243
Lhokseumawe	0.0458451
Urus-Martan	0.045764
"Mekong Delta"	0.0452463
"Kosovo Polje"	0.0444509
Laguna	0.0442803
Larnaca	0.0442178
Jalalabad	0.0436785
Yogyakarta	0.0433862
Kitwe	0.0433834
Cienfuegos	0.0433236
Mosul	0.0432994
Kandy	0.0432637
Hillsboro	0.0430998
Mekong	0.0430816
Bayonne	0.0429284
Waterbury	0.0427219
Chamonix	0.0425897
NIS	0.0424395
Matadi	0.042163
Aachen	0.0419831
Decani	0.0416839
Moshi	0.0414626
Pancevo	0.0414503
Cacak	0.0414127
Caguan	0.041393
Pailin	0.0413867
Beira	0.0409824
Vilnius	0.0408951
Aden	0.0408815
Jenin	0.0407816
"Port Elizabeth"	0.0407732
Leskovac	0.0406435
Mara	0.0402559
))
(Binion (desc 1080.39) (sims
Fahey	0.170083
Dahmer	0.158803
Cobain	0.149859
Moxley	0.140421
Norberg	0.133514
Webdale	0.127542
Amedure	0.126411
Gerardi	0.126008
Baez	0.124285
Durwood	0.121718
Gaither	0.119966
Sheppard	0.119624
Onassis	0.109789
JonBenet	0.100944
Youk	0.0998623
Neulander	0.0985782
Ricart	0.097506
Faison	0.0974842
Middleton	0.0974232
Nkomo	0.0973883
Costin	0.0954381
"JonBenet Ramsey"	0.0951823
Benton	0.094077
Cooke	0.0924097
Ileto	0.0918036
McPherson	0.0915014
Hess	0.0906317
"John Kennedy Jr."	0.090392
Dorismond	0.089173
Bessette	0.0871172
Castaneda	0.086648
Slepian	0.0859825
Yarmila	0.0851917
Wentworth	0.0848092
Curley	0.0847794
Barton	0.0841708
Dudayev	0.0836425
Tuinei	0.0823563
Biko	0.0820215
Abernathy	0.0817743
Leto	0.0812345
Cosby	0.0803572
Hajdari	0.0800867
Duvalier	0.0798887
Presley	0.0798417
Bedell	0.0797498
Baum	0.0795346
Mattysse	0.07936
Zhivkov	0.0783279
Starovoitova	0.0780858
Nkabinde	0.0779856
Kerouac	0.0779587
Hani	0.0774217
Selena	0.0772941
Ruskin	0.0771762
Martorano	0.0771727
Skakel	0.0770881
Wilkerson	0.0762179
Larson	0.076113
Cory	0.0755517
Nabokov	0.0752197
Coughlin	0.0751957
Capano	0.0748355
Phills	0.0742958
Kurosawa	0.0742439
Lawler	0.0740062
Giacchetto	0.0739049
Postel	0.0735394
Gathers	0.0726901
Klebold	0.0726789
peeler	0.0724092
Riady	0.0722225
McCartney	0.0720852
"Edith Wharton"	0.0719259
Coe	0.0716748
Galindo	0.0704456
Byrdsong	0.0703054
"Hollywood Hills"	0.0701587
Jarrell	0.0700083
Lazaro	0.0696922
Dokmanovic	0.0696403
Puente	0.0695864
Pont	0.0695247
DeBartolo	0.0692448
Stayner	0.0691316
O'Hair	0.0689118
Yoon	0.0687234
Grunow	0.0681497
Pamela	0.0680722
Goldstein	0.0680455
Mehmet	0.0679628
Cunanan	0.067439
Machel	0.0670652
"Matthew Eappen"	0.0665788
Craxi	0.066552
Rushdie	0.0661474
Mitterrand	0.0656352
Khrushchev	0.0656142
Kovacevic	0.0655398
Perrot	0.0654218
Abiola	0.0652834
Coley	0.0651339
Boyle	0.0651314
"Leigh Ann"	0.0651146
Plunkett	0.0650453
Howell	0.0649577
Gotti	0.0649257
"JFK Jr."	0.0648664
MCGEE	0.0648472
Krasniqi	0.0647755
Zapruder	0.0646781
"Ruiz Massieu"	0.0643528
Custer	0.064322
Shepard	0.0641934
Timmy	0.0641116
Weston	0.063965
"Princess Diana"	0.0639181
Dandridge	0.0636411
"Adam Petty"	0.0635103
Marcos	0.0634325
Burroughs	0.063372
Siskel	0.0633675
Tran	0.0633269
Guerin	0.0630891
Hartley	0.0628471
Berenson	0.0627873
Taubman	0.0625573
Faulder	0.0625067
Ramsey	0.0624332
Tierney	0.0622221
Borden	0.0620687
Loeb	0.0617534
Juli	0.0614475
Carruth	0.0612951
Salinas	0.0612427
Marley	0.0605691
Rosenbaum	0.0605229
Merrick	0.0604831
Giordano	0.0604622
Cassie	0.0604455
Atkinson	0.0603651
"Jerry Garcia"	0.0603416
Shurmur	0.0602049
Bulatovic	0.059958
"Russell Peeler"	0.0599323
Yandarbiyev	0.059866
Takeshita	0.0598323
Habib	0.0595817
Hawkins	0.0593079
Gaston	0.0592541
Rothschild	0.059195
Soliah	0.0591773
Shao	0.0589255
Sylvia	0.0588502
Merritt	0.0586145
FloJo	0.0585835
Janis	0.0582617
RFK	0.0581989
Kozeny	0.0580451
"Leonard Bernstein"	0.0580348
"Jehovah's Witness"	0.0579244
Idris	0.0577955
Frankel	0.0574536
Papandreou	0.0573505
Khalil	0.0572618
Michele	0.0571078
Kearney	0.0568853
Katrina	0.0568681
"James Byrd Jr."	0.0567459
Arad	0.0567457
Gurule	0.0566175
Glaser	0.0565611
Marciano	0.0563877
Markhasev	0.0563513
Herron	0.0563488
Simpson	0.0563365
Kiareldeen	0.056303
"one of the boys"	0.056212
Rockefeller	0.0561379
Ganassi	0.0559552
Angelica	0.0559417
oceanfront	0.0557919
Bono	0.0557437
Galvin	0.0556354
Escobar	0.055602
Hendrix	0.05552
fortuneteller	0.0552983
"Food Lion"	0.0551365
"Fayette County"	0.0551247
Lileikis	0.0550335
Blackmun	0.0549429
"Amadou Diallo"	0.0549075
"Mark Tuinei"	0.0548918
Schulz	0.0546989
Burks	0.0545513
Bellush	0.0545474
Tomba	0.0540131
SAFY	0.0538797
Mallory	0.0537923
Mellencamp	0.0537261
))
(binocular (desc 8555.98) (sims
goggles	0.121216
microscope	0.120018
telescope	0.111159
sonar	0.100828
camera	0.098852
flashlight	0.0907469
binoculars	0.0896291
"tape recorder"	0.0866244
notepad	0.0843234
"automatic rifle"	0.0829771
"magnifying glass"	0.0812309
"water cannon"	0.0808923
walkie-talkie	0.0779992
checkbook	0.0740043
camcorders	0.0735499
rifle	0.0722626
lens	0.0716336
"scientific instrument"	0.0702155
clipboard	0.0701073
camcorder	0.0700782
scanner	0.0693356
"laptop computer"	0.0686282
detector	0.068497
calculator	0.0683367
paintbrush	0.0680231
"cellular telephone"	0.0678786
infrared	0.0672204
pen	0.0650371
"cellular phone"	0.0644677
webcams	0.0640489
baton	0.0634886
"machine gun"	0.063333
radar	0.0621549
shotgun	0.0620388
bullhorn	0.0620065
pencil	0.0610644
"baseball bat"	0.0607173
microphone	0.0606145
"walking stick"	0.0605659
"CD player"	0.0597334
headphone	0.0595872
beepers	0.0595585
transmitter	0.0587857
VCR	0.0587056
sensor	0.0585026
sunglasses	0.0581361
"fountain pen"	0.0579335
notebook	0.056886
"cassette recorder"	0.0568742
slingshot	0.0566031
"television set"	0.0565699
"tv set"	0.0558289
"bulletproof vest"	0.0549772
"rocket launcher"	0.0547363
AK-@@	0.054569
spectrometer	0.0542895
handkerchief	0.0537879
wader	0.0535914
"communications equipment"	0.0532563
machete	0.0531194
recorder	0.0529428
wallet	0.0519947
pagers	0.0518467
racquet	0.0514578
prism	0.0512331
"golf club"	0.0508923
shovel	0.0507816
"running shoe"	0.0507639
nightstick	0.0506974
"boxing glove"	0.0505361
Projector	0.0500818
"hand grenade"	0.0500765
pistol	0.0500712
hatchet	0.0495943
"particle accelerator"	0.0495073
stopwatch	0.0490383
knife	0.0489391
revolver	0.0488599
truncheon	0.0486273
"heavy weapon"	0.0485584
"sewing machine"	0.0484645
"fax machine"	0.0483445
"fishing rod"	0.0482512
laptop	0.0482403
broom	0.0482028
"UNIX operating system"	0.047912
"chain saw"	0.0475678
conditioner	0.0472794
optic	0.0471683
scissors	0.0470475
stereo	0.0470267
"X-ray machine"	0.0469061
"car window"	0.0468935
pliers	0.0468731
antenna	0.046739
handgun	0.046492
photocopier	0.0464849
earphone	0.0464306
briefcase	0.0464125
grandkids	0.04627
"sleeping bag"	0.0462055
cellphone	0.0457683
"magnetic resonance imaging"	0.0455729
copier	0.0455129
Grenade	0.0455111
tripod	0.0451762
gadget	0.0450748
backpack	0.0450663
headset	0.044711
"electronic device"	0.044411
"portable computer"	0.0443945
laser	0.0443872
typewriter	0.044276
glove	0.0441524
"bag of tricks"	0.0440196
joysticks	0.0439848
windshield	0.0439224
surfboard	0.0439201
helmet	0.0438002
pantyhose	0.0437065
appliance	0.0435045
"alarm clock"	0.0433656
clicker	0.0433148
"hypodermic needle"	0.043297
bayonet	0.0431979
compass	0.0430786
jewelry	0.0429981
"video equipment"	0.0427338
launcher	0.042726
machine-guns	0.0425751
remotes	0.0423724
"cigarette lighter"	0.0423341
"hockey stick"	0.0422476
"alarm system"	0.0421345
"tape measure"	0.0419926
"fire extinguisher"	0.0419296
bloodhound	0.0418995
toothbrush	0.0418587
firearm	0.0417767
floodlight	0.0417234
"washing machine"	0.0414342
ax	0.0413638
hose	0.0413622
kit	0.041238
skis	0.0412318
"tape player"	0.0410305
"videocassette recorder"	0.0410294
"power tool"	0.0410291
eyeglass	0.0408771
workstation	0.0407407
pail	0.040672
"submachine gun"	0.0405725
"steering wheel"	0.0403953
"explosive device"	0.040219
oar	0.0400914
))
(binoculars (desc 1994.61) (sims
binocular	0.0896291
dinnerware	0.0764181
tripod	0.0625736
"tape recorder"	0.0567099
armoire	0.0506844
"camp site"	0.0505473
"geographical area"	0.0501358
rosary	0.0490272
kitchenware	0.0480687
enshrinement	0.0477497
thesaurus	0.046446
reagent	0.0461078
cufflink	0.0459657
paperweight	0.0456086
Cleaver	0.0430919
"beam of light"	0.0409175
"rubber band"	0.0408357
"Claudia Poll"	0.0404316
"pool table"	0.04043
"surgical instrument"	0.0403285
))
("Binyamin Netanyahu" (desc 10463.8) (sims
"Benjamin Netanyahu"	0.294208
"Ehud Barak"	0.240198
Netanyahu	0.228126
"Shimon Peres"	0.213285
al-Assad	0.200265
"H.D Deve Gowda"	0.19229
"Atal Bihari Vajpayee"	0.190418
"Chuan Leekpai"	0.186075
"Costas Simitis"	0.185575
"Jordanian King Hussein"	0.184917
"Yevgeny Primakov"	0.184493
"Necmettin Erbakan"	0.182761
Mubarak	0.182694
"John Major"	0.18187
"Atal Behari Vajpayee"	0.18042
"Nawaz Sharif"	0.179291
"Deve Gowda"	0.178584
"Lionel Jospin"	0.175932
Barak	0.175673
"John Howard"	0.175605
"Abdul Karim Kabariti"	0.175466
"Benazir Bhutto"	0.174911
"Meles Zenawi"	0.173917
"Jean Chretien"	0.173783
"Jose Maria Aznar"	0.173695
Arafat	0.17361
"Rafik Hariri"	0.171669
"Tony Blair"	0.171544
"President Kim Dae-jung"	0.167973
"Bulent Ecevit"	0.167329
"Inder Kumar Gujral"	0.167309
"Salim Hoss"	0.165412
Denktash	0.165376
"Chavalit Yongchaiyudh"	0.165345
"Ryutaro Hashimoto"	0.164378
"Jerzy Buzek"	0.163916
"President Hafez Al-Assad"	0.163767
"Keizo Obuchi"	0.16341
"Jordanian King Abdullah Bin Hussein"	0.162474
"Mesut Yilmaz"	0.16189
"Yasser Arafat"	0.161685
"Valery Pustovoitenko"	0.156734
"Wlodzimierz Cimoszewicz"	0.155849
Ecevit	0.154351
Peres	0.154136
"Ivan Kostov"	0.153648
"Vo Van Kiet"	0.152921
"Atef Obeid"	0.152897
"Than Shwe"	0.152681
"Romano Prodi"	0.15258
al-Bashir	0.151753
"Hosni Mubarak"	0.150769
"Frederick Sumaye"	0.150109
Erbakan	0.149867
"Bashkim Fino"	0.149769
Moi	0.149579
Sharif	0.149522
Chirac	0.14922
"Fatos Nano"	0.148065
"Yitzhak Mordechai"	0.148047
"Lokendra Bahadur Chand"	0.146835
"Saudi King Fahd Ibn Abdul-Aziz"	0.146693
"William Cohen"	0.14565
"John Bruton"	0.144857
Vajpayee	0.144118
"Sheikh Hasina"	0.143918
Mordechai	0.143773
Clerides	0.143616
"Alain Juppe"	0.143559
Hariri	0.14334
Aziz	0.143206
"Saeb Erekat"	0.142727
"Sergei Kiriyenko"	0.142722
"King Hussein"	0.142618
"Mikulas Dzurinda"	0.142375
"Hun Sen"	0.14195
"David Levy"	0.141557
"Pascoal Mocumbi"	0.140694
"Viktor Chernomyrdin"	0.140336
"Bertie Ahern"	0.139342
"Kofi Annan"	0.139199
"Yoshiro Mori"	0.138514
Dehaene	0.138374
Kabariti	0.137412
Deuba	0.137408
"Minister Shlomo Ben-Ami"	0.136958
"Goh Chok Tong"	0.136835
Hasina	0.136719
Simitis	0.136654
Chuan	0.136447
Gaddafi	0.136383
"Palestinian National Authority"	0.136091
Rakhmonov	0.134684
"Radu Vasile"	0.133335
Wahid	0.1332
"Tansu Ciller"	0.132687
"King Fahd"	0.132543
"Jenny Shipley"	0.132203
"Phan Van Khai"	0.131658
"Mahathir Mohamad"	0.131441
"President Kim Young-sam"	0.131377
al-Sahhaf	0.13133
"King Abdullah II"	0.131281
Aznar	0.130985
"secretary of state"	0.130982
"Li Peng"	0.13093
Meles	0.129969
Kharrazi	0.129947
al-Shara	0.129455
"Saudi King Fahd"	0.129072
Jospin	0.129003
"Prime Minister Banharn Silpa-Archa"	0.128893
Majali	0.128792
Assad	0.128198
Albright	0.128018
Moussa	0.127936
al-Hariri	0.127745
Blair	0.127351
Kuchma	0.12731
"Pandeli Majko"	0.127258
el-Ganzouri	0.127098
"Chief Executive Tung Chee-hwa"	0.1269
Weizman	0.126894
Annan	0.1263
Primakov	0.125931
"Wim Kok"	0.125633
"Paul Keating"	0.125257
Demirel	0.12481
Lukashenko	0.124658
el-Bashir	0.12454
Mandela	0.124192
"Vaclav Klaus"	0.124091
al-Sharaa	0.123628
Hashimoto	0.123574
"Paavo Lipponen"	0.123471
"Milos Zeman"	0.123388
Shareh	0.123183
"Amr Moussa"	0.123081
"Lamberto Dini"	0.123054
Klestil	0.122662
Chancellor	0.122372
"Girija Prasad Koirala"	0.121916
"Jacques Chirac"	0.121712
Mugabe	0.121479
Gujral	0.12135
Yilmaz	0.121202
"Antonio Guterres"	0.120367
"Abdul Salam Majali"	0.120279
Komura	0.119558
Rugova	0.119395
al-Khatib	0.119304
"Hubert Vedrine"	0.119275
"I.K Gujral"	0.119172
Nazarbayev	0.119103
"Sher Bahadur Deuba"	0.118892
"Khaleda Zia"	0.11823
Schuessel	0.118145
Habibie	0.118133
"Yitzhak Rabin"	0.118097
Goh	0.118031
"Igor Ivanov"	0.117785
"Secretary General Esmat Abdul-Meguid"	0.117669
"King Abdullah"	0.117627
"Ariel Sharon"	0.117604
Koirala	0.11743
Banharn	0.117195
Dini	0.116688
"Tang Jiaxuan"	0.116608
Kumaratunga	0.116591
"Tomiichi Murayama"	0.116542
"Goran Persson"	0.116218
"Javier Solana"	0.115775
Lipponen	0.115707
Khatami	0.115681
Mahathir	0.115096
Ben-Ami	0.114713
Garang	0.114653
Phieu	0.113752
"Kim Yong Nam"	0.113624
Pangalos	0.113153
Mkapa	0.11252
"Jiang Zemin"	0.11226
Obuchi	0.112185
Rafsanjani	0.111542
"Kamal Kharrazi"	0.111542
"Fayez Tarawneh"	0.111253
Chavalit	0.111222
Menem	0.110801
"Ismail Cem"	0.110763
Stoyanov	0.110562
"Natan Sharansky"	0.110443
Juppe	0.110215
Ahern	0.110072
"Begum Khaleda Zia"	0.109922
Ahtisaari	0.109313
"Secretary General Esmat Abdel-Meguid"	0.109295
Dae-jung	0.109236
Estrada	0.109092
Chand	0.108924
"William Perry"	0.108774
Schroeder	0.108523
"Helen Clark"	0.108426
"Ung Huot"	0.108394
Yeltsin	0.108324
Chretien	0.108242
"Yossi Sarid"	0.108081
Chiluba	0.107951
"Ibrahim Rugova"	0.107831
"Jaswant Singh"	0.107696
"King Norodom Sihanouk"	0.107219
Velayati	0.106829
Luong	0.106762
Barshefsky	0.106741
"Tariq Aziz"	0.106735
Mbeki	0.106713
"deputy foreign minister"	0.106598
"Zhu Rongji"	0.106405
"Leon Brittan"	0.106349
Museveni	0.105956
Ivanov	0.105628
"Sergei Stepashin"	0.105604
Vedrine	0.1053
"finance minister"	0.105223
Sergeyev	0.105098
Cem	0.104926
Khaddam	0.104901
"Vladimir Putin"	0.104856
"Krishna Prasad Bhattarai"	0.104777
Erekat	0.104681
"Oded Eran"	0.104579
president-elect	0.10443
"Gerry Adams"	0.10431
"Arab League"	0.104197
Sharon	0.104071
Jayakumar	0.104034
"Victor Chernomyrdin"	0.104025
"Secretary-General Boutros Boutros-Ghali"	0.103951
Camdessus	0.103824
Talbott	0.103516
"P.V Narasimha Rao"	0.103159
Kostov	0.102959
"David Trimble"	0.102888
Lahoud	0.102759
"Tim Fischer"	0.10247
Kwasniewski	0.102363
Saleh	0.102217
Alatas	0.102113
Musharraf	0.101841
Shevardnadze	0.101511
"Vladimir Meciar"	0.101422
Chernomyrdin	0.101302
Abubakar	0.101228
Premier	0.101042
Putin	0.100775
Prodi	0.10077
Guterres	0.100432
Qian	0.100368
))
(Bio (desc 6760.14) (sims
biography	0.0859666
Koroma	0.056358
"Abdulsalami Abubakar"	0.0547468
blurb	0.0529576
Muluzi	0.0509959
Rifkind	0.0478085
BIOS	0.0471715
travelogue	0.0458815
"Abdulsalam Abubakar"	0.0455619
"Indiana Jones"	0.0449924
synopses	0.0428746
Koirala	0.041888
obit	0.0417789
Hariri	0.0415846
URL	0.0413259
synopsis	0.0413055
"Mickey Blue Eyes"	0.0412754
Kabbah	0.0411053
"Patch Adams"	0.0407418
Tootsie	0.040576
Alioto	0.0403205
Deuba	0.0402082
"caller ID"	0.0401869
))
(bio-diversity (desc 2254.78) (sims
biodiversity	0.217786
ecology	0.138973
ecosystem	0.137659
"soil conservation"	0.134358
wildlife	0.132409
wetlands	0.123701
"natural resource"	0.11847
"land resource"	0.117931
Wetland	0.113306
"tropical rain forest"	0.108894
"coral reef"	0.107221
fauna	0.105642
grassland	0.100755
flora	0.095718
"plant life"	0.0937247
salinity	0.0934178
deforestation	0.0929981
"population control"	0.0901543
habitat	0.0887824
"elephant population"	0.0878405
"Environmental Protection"	0.0875818
desertification	0.0867412
fishery	0.0831594
"cultivated land"	0.0829614
"mineral resource"	0.0829608
groundwater	0.0805601
vegetation	0.0804741
"water pollution"	0.0775362
"soil erosion"	0.0738486
watershed	0.0714945
"land reform"	0.0703449
estuary	0.0696505
conservation	0.0693408
"environmental condition"	0.0687036
"ground water"	0.068657
"Ministry of Land"	0.0686266
"intellectual property rights"	0.0669113
"security interest"	0.0659457
"about @@@,@@@ acres"	0.065632
"about @@,@@@ acres"	0.0647672
"water table"	0.0644118
IPR	0.0637631
"catchment area"	0.0634159
"labor force"	0.063311
marshland	0.0632945
degradation	0.0631731
"property right"	0.062916
utilization	0.062067
"land area"	0.0619627
forestry	0.0593918
"patent right"	0.0590279
"quality of life"	0.0589124
"information science"	0.0579949
vertebrate	0.0574741
"more than @@@,@@@ acres"	0.0569694
potentiality	0.0561258
"investment climate"	0.0554287
fjord	0.0553726
"freedom of religion"	0.0548567
subsidence	0.0548325
cropland	0.05435
shoreline	0.054313
tranquility	0.0542529
"freedom of the press"	0.0541022
"clean slate"	0.0540455
siltation	0.0540019
"sea turtle"	0.0539727
"investor confidence"	0.0539167
antelope	0.0538702
folklore	0.0537011
"family planning"	0.0533578
aquifer	0.053086
waterfowl	0.0528309
alleviation	0.0527659
potency	0.0525529
rawness	0.052512
"million acres"	0.0525009
afforestation	0.0520376
FDI	0.0519734
"Mogao Grottoes"	0.051963
macro-economy	0.0518952
Gibbon	0.0518719
"virgin forest"	0.051689
"circulatory system"	0.0513058
"commercial activity"	0.0505432
"more than @@,@@@ acres"	0.0499716
ecotourism	0.0497046
depletion	0.0496242
"distinctive feature"	0.0495892
distinctiveness	0.0493819
manatee	0.0490602
preparedness	0.0489482
woodland	0.0489411
tributary	0.0488702
microorganism	0.048857
reserves	0.0487713
self-respect	0.0486272
fertility	0.0485797
meteorology	0.0480487
noncombatant	0.0477245
"monarch butterfly"	0.0475615
"transportation system"	0.0475396
"business processe"	0.0475129
"entitlement program"	0.0474807
"fertility rate"	0.0473618
"labor resource"	0.0472775
pastureland	0.0470124
"civil liberty"	0.0468362
"central heating"	0.0467571
"urban planning"	0.0467523
"sphere of influence"	0.0464308
reclamation	0.0460992
"brush fire"	0.0458231
uniqueness	0.0456347
"public security"	0.0455754
"solar energy"	0.0454791
"Export Processing Zones"	0.0453905
depositor	0.045343
backwardness	0.0453341
"About @@,@@@ hectares"	0.0453226
"chemical industry"	0.0450489
hydropower	0.0448811
urbanization	0.0443901
buoyancy	0.0442953
grotto	0.0441474
hydrology	0.0441043
"United Nations Environment Program"	0.0440487
"iron ore"	0.0437238
"more than @@,@@@ hectares"	0.0437099
biosphere	0.0434482
non-Albanians	0.043376
lemur	0.0432034
Patrimony	0.0431037
"freedom of speech"	0.0430905
soundness	0.043062
sustainability	0.0426012
"more than @,@@@ acres"	0.0424043
poaching	0.0423866
"more than @,@@@ hectares"	0.0422634
"Everglades National Park"	0.0422569
"acid rain"	0.042183
conservancy	0.0420467
mangrove	0.0419529
"cost structure"	0.0418996
sanitation	0.0417873
"consumer interest"	0.0417786
whistleblowers	0.0416487
destabilization	0.0416456
plankton	0.0415579
redistribution	0.0414015
rinderpest	0.0413482
"more than @@@ hectares"	0.0413143
"life science"	0.0412461
"Unit @"	0.0411909
"educational institution"	0.0411475
Chattahoochee	0.0411425
"coho salmon"	0.0410952
"Angkor Wat"	0.0409932
rainforest	0.0409547
affordability	0.0408613
adaptability	0.0406178
rhino	0.0404144
"oil production"	0.0403406
uptrend	0.0403299
"bluefin tuna"	0.0401608
parkland	0.0400572
"production ceiling"	0.040025
Presense	0.0400127
))
(biochemist (desc 3792.02) (sims
neuroscientist	0.163693
microbiologist	0.145855
geophysicist	0.144324
"computer scientist"	0.126608
immunologist	0.124209
anthropologist	0.121323
geneticist	0.120075
geographer	0.117568
pathologist	0.115036
physicist	0.114347
epidemiologist	0.112799
psychologist	0.110442
researcher	0.110178
ecologist	0.109409
paleontologist	0.108689
internist	0.107363
sociologist	0.103491
biologist	0.103189
"political scientist"	0.101966
"mechanical engineer"	0.0997779
astrophysicist	0.0997353
mathematician	0.0996882
endocrinologist	0.0990248
cardiologist	0.0983147
pharmacologist	0.0978396
"physical therapist"	0.0958708
chemist	0.0956352
geologist	0.0946795
"aerospace engineer"	0.0935997
"associate professor"	0.0930683
linguist	0.0928659
botanist	0.0925214
physiologist	0.0920186
toxicologist	0.0918059
"graduate student"	0.0908554
psychiatrist	0.0907046
historian	0.0897315
dietitian	0.0894196
"computer expert"	0.0884816
entomologist	0.0866154
"art historian"	0.0852184
astronomer	0.084788
"registered nurse"	0.0845949
neurologist	0.0840013
neurosurgeon	0.0836209
climatologist	0.0821108
"assistant professor"	0.0815212
surgeon	0.0813006
"visiting professor"	0.0806355
demographer	0.0796764
"English professor"	0.0795977
lecturer	0.0793218
pediatrician	0.0782663
Provost	0.0779991
"social scientist"	0.0773211
oncologist	0.0771206
criminologist	0.0765096
"political science"	0.0751109
neurobiology	0.0748627
cosmologist	0.0746522
radiologist	0.0745396
horticulturist	0.074189
"Navy Seal"	0.0740207
nutritionist	0.0729359
naturalist	0.0726626
archeologist	0.0722992
"law student"	0.0722289
"civil engineer"	0.0720796
"electrical engineer"	0.0717208
gynecology	0.0716921
"heart surgeon"	0.0701674
"army engineer"	0.0696309
"computer programmer"	0.0695059
agronomist	0.0695051
psychoanalyst	0.0689675
"school principal"	0.0675748
psychotherapist	0.0673726
oceanographer	0.0659253
psychiatry	0.0658553
"science teacher"	0.0656575
acupuncturist	0.0640223
co-editor	0.0633594
masseuse	0.0632064
Gastroenterologist	0.0626772
archaeologist	0.0620789
ornithologist	0.0620765
physiology	0.06197
"vice chancellor"	0.0618177
musicologist	0.0615425
Immunology	0.0615293
"plastic surgeon"	0.0614031
pharmacology	0.0612969
sociology	0.0612153
"art teacher"	0.0608717
"math teacher"	0.0605784
librarian	0.0605674
"English teacher"	0.0603175
coauthor	0.0598471
herbalist	0.0596949
gynecologist	0.0595905
"management consultant"	0.0591611
urologist	0.0589311
"clinical psychologist"	0.0589227
"real estate broker"	0.0587314
pharmacist	0.0579605
statistician	0.0579209
seminarian	0.0578594
undergraduate	0.057719
"medical student"	0.0574422
veterinarian	0.0574373
"network administrator"	0.0573203
cosmonaut	0.0571178
"School of Public Health"	0.0569743
dentist	0.0568617
"house painter"	0.0563684
homemaker	0.0562688
paraplegic	0.0562232
endocrinology	0.0560334
bioethicist	0.0558413
folklorist	0.0557992
philosopher	0.0557558
bricklayer	0.0557072
paramedic	0.055452
beautician	0.0554419
Ph.D	0.055087
dissertation	0.0546814
academician	0.0546369
educator	0.0542272
biophysics	0.0541298
dermatologist	0.0538522
Bostonian	0.0537039
"music teacher"	0.0535737
"interior decorator"	0.0534524
"business school"	0.0534092
theologian	0.0533242
inventor	0.0532918
dermatology	0.0528378
"health professional"	0.0526516
"faculty member"	0.0526373
zoology	0.052536
schoolteacher	0.0523754
"real estate agent"	0.0523581
biochemistry	0.052357
therapist	0.0521924
"preventive medicine"	0.0519882
seamstress	0.0518498
"social worker"	0.0518325
ex-convict	0.051814
"police captain"	0.0517078
essayist	0.0516018
Aldrin	0.0514595
"baseball coach"	0.0514113
"general practitioner"	0.0513711
policewoman	0.0512924
Futurist	0.0512156
sculptor	0.0510809
theorist	0.0510672
"intelligence analyst"	0.0510099
podiatrist	0.0508985
Urology	0.0507571
"school teacher"	0.0506786
"eye doctor"	0.0503757
ophthalmologist	0.0503685
anesthesiologist	0.0498176
fifth-grader	0.0497248
"graduate school"	0.0495645
ethicists	0.0495138
"comparative literature"	0.0495036
obstetrician	0.049429
technologist	0.0494115
zoologist	0.0493151
"certified public accountant"	0.0490223
anthropology	0.0490053
"test pilot"	0.0489943
epidemiology	0.0488259
"Larry Sabato"	0.0488148
curator	0.0483312
Pediatrics	0.04804
archivist	0.0478356
"hockey coach"	0.0478129
"David Irving"	0.0477549
clinician	0.0475338
Profiler	0.0473718
McCartney	0.0471266
Ghanaian	0.0469597
illustrator	0.046879
"software engineer"	0.0467728
copywriter	0.0466825
"department head"	0.0465122
"foreign service officer"	0.0459953
Ono	0.0459248
hairstylist	0.0457976
kayaker	0.0457046
"medical specialist"	0.0456822
enterpreneurs	0.0456477
laureate	0.0456438
infantryman	0.0456074
Deacon	0.0455635
jurist	0.0453011
"mountain climber"	0.0452116
))
(biochemistry (desc 4743.69) (sims
zoology	0.278523
"chemical engineering"	0.254102
physiology	0.249891
"computer science"	0.238622
pharmacology	0.237568
"mechanical engineering"	0.225138
microbiology	0.224887
"comparative literature"	0.218406
biology	0.209486
neuroscience	0.208509
"political science"	0.207111
biophysics	0.202152
anthropology	0.201135
"civil engineering"	0.201054
linguistics	0.197723
"electrical engineering"	0.195686
Immunology	0.193904
sociology	0.184199
"environmental science"	0.175282
"earth science"	0.173755
genetics	0.173375
pathology	0.173196
"molecular biology"	0.172929
mathematics	0.171737
"social work"	0.171721
Chemistry	0.165682
psychology	0.161629
neurobiology	0.160946
psychiatry	0.160508
geology	0.158406
"biological science"	0.158219
astronomy	0.157568
Urology	0.15379
astrophysics	0.152861
"physical education"	0.147973
engineering	0.147757
physics	0.145479
Anatomy	0.144941
criminology	0.14394
meteorology	0.143852
"life science"	0.141939
"information science"	0.141522
agronomy	0.137007
bioengineering	0.136827
dermatology	0.13488
epidemiology	0.133718
"nuclear physics"	0.131696
"medical science"	0.13123
neurology	0.127898
Pediatrics	0.127724
ophthalmology	0.125647
"social science"	0.12475
theology	0.122946
geophysics	0.120338
Botany	0.119781
"fine arts"	0.117835
ecology	0.116168
"liberal arts"	0.1154
economics	0.112798
"elementary education"	0.110821
radiology	0.10844
nursing	0.106159
"preventive medicine"	0.106136
gynecology	0.102623
math	0.0995165
archaeology	0.0994368
"urban planning"	0.0976702
literature	0.0975094
geography	0.0970291
Cardiology	0.0959832
dentistry	0.0949009
Toxicology	0.0948483
archeology	0.09435
hydrology	0.0942141
paleontology	0.0938447
"veterinary medicine"	0.0912439
philosophy	0.0903306
"internal medicine"	0.0889515
oceanography	0.0883957
"artificial intelligence"	0.0864708
Microelectronics	0.086443
obstetrics	0.0858764
aeronautics	0.0858111
nutrition	0.0850683
"physical therapy"	0.0833309
seismology	0.0832838
"natural science"	0.0828681
oncology	0.0777483
biotechnology	0.0751868
metallurgy	0.0750798
horticulture	0.0736104
calculus	0.0726313
robotics	0.0717274
"San Francisco State University"	0.0686923
"special education"	0.0680681
automation	0.0677748
aerodynamics	0.0675437
endocrinology	0.0661765
transplantation	0.0660799
geriatrics	0.0659253
divinity	0.0650503
forestry	0.0646018
"information system"	0.0638374
"fine art"	0.0630101
electronics	0.0625782
"political economy"	0.0604342
"Yale Law School"	0.0602217
"computer programming"	0.0594646
cosmology	0.0593293
nanotechnology	0.0562697
"Harvard Law School"	0.0552687
"circadian rhythm"	0.0548498
genomics	0.0542535
"associate professor"	0.0539213
"computer technology"	0.0535424
optic	0.0534446
jurisprudence	0.0533056
"bird watcher"	0.0527317
agribusiness	0.0524932
biochemist	0.052357
"Baylor University"	0.051954
"North Carolina State University"	0.0514614
undergraduate	0.0512668
"criminal law"	0.0508517
"Carnegie Mellon University"	0.0505022
Talmud	0.0504579
"city planning"	0.0499671
lecturer	0.049875
"particle physics"	0.0497974
"genetic engineering"	0.0495999
entrepreneurship	0.0493636
folklore	0.0492053
civics	0.0488091
informatics	0.0487649
"assistant professor"	0.0485393
"Kansas State University"	0.0483493
"building material"	0.0479949
geometry	0.0478
demography	0.0477788
dynamics	0.047298
computing	0.0469249
forensics	0.0467067
Hirst	0.0463743
"communications technology"	0.0460135
Pharmacy	0.044988
ergonomics	0.0447149
petrochemical	0.0442517
Ph.D	0.0437211
"plastic surgery"	0.0436163
"Fordham University"	0.0434765
M.D	0.0430781
physiologist	0.0429544
"speech pattern"	0.0428862
TCM	0.04278
imaging	0.0427701
"University of Dayton"	0.0421206
"animal husbandry"	0.0420566
"Arizona State University"	0.0417302
"New York University"	0.0415696
"Old Testament"	0.0412207
ceramic	0.0412031
"chemical industry"	0.0408022
"Southern Methodist University"	0.0402097
))
(biodiversity (desc 10868.9) (sims
bio-diversity	0.217786
ecosystem	0.176356
ecology	0.168375
"natural resource"	0.152589
wetlands	0.150536
wildlife	0.141881
fishery	0.125762
habitat	0.125747
"coral reef"	0.125149
Wetland	0.124103
"land resource"	0.121519
environment	0.116963
diversity	0.116913
conservation	0.116749
fauna	0.11103
resource	0.11
vegetation	0.101009
flora	0.0971093
specie	0.0968693
"tropical rain forest"	0.0968111
forestry	0.0953557
urbanization	0.0929015
desertification	0.091939
"mineral resource"	0.0912822
forest	0.0909888
heritage	0.0866643
"quality of life"	0.0865123
"population control"	0.0845462
afforestation	0.0844358
agriculture	0.0822623
degradation	0.0819052
deforestation	0.0818453
"animal husbandry"	0.0816738
alleviation	0.0816701
preservation	0.0814643
"labor resource"	0.08067
tourism	0.0804059
grassland	0.0801443
health	0.0800061
pollution	0.0794036
climate	0.0788626
"human rights"	0.0785142
"security interest"	0.0782646
geology	0.0779789
watershed	0.0767381
sustainability	0.0766589
"solar energy"	0.076119
"water supply"	0.0752603
infrastructure	0.0743337
productivity	0.0740225
depletion	0.0739432
"soil erosion"	0.0737106
"property right"	0.0731929
"public security"	0.0729082
"sea turtle"	0.0720437
utilization	0.0717307
"rain forest"	0.0711528
farmland	0.070749
prevention	0.0704607
sanitation	0.0703592
"soil conservation"	0.0695879
industrialization	0.0693934
irrigation	0.0690884
"labor force"	0.0690706
aquaculture	0.0683303
mangrove	0.0677651
"water pollution"	0.0677436
conservancy	0.0677214
stability	0.0673135
"family planning"	0.0666109
"elephant population"	0.066305
groundwater	0.0652125
hydropower	0.0649915
well-being	0.0648445
relic	0.0647592
"nuclear energy"	0.0645308
"cultivated land"	0.0642561
livelihood	0.0642012
preparedness	0.0637852
eradication	0.063747
"information technology"	0.063464
"air pollution"	0.0632166
IPR	0.0629709
"human right"	0.0627262
competitiveness	0.0626571
fertility	0.0623828
reforestation	0.062342
"flood control"	0.0615065
"social welfare"	0.0615055
employment	0.0611314
"food supply"	0.0610728
biology	0.0610465
governance	0.0607077
"earth science"	0.0605741
nutrition	0.060336
Livestock	0.0599564
mitigation	0.0597961
aviation	0.0596147
mining	0.0594102
"population density"	0.0588472
"rule of law"	0.0586874
entrepreneurship	0.0582092
farming	0.0580751
"freedom of the press"	0.057977
scenery	0.0576707
prosperity	0.0575998
"health service"	0.0575311
nonproliferation	0.0573252
"arms control"	0.0571398
transportation	0.0570797
evolution	0.0570782
"civil liberty"	0.056739
biotechnology	0.0567334
"environmental condition"	0.0565457
"mental health"	0.0564413
"vocational education"	0.0564097
"higher education"	0.0562601
potentiality	0.0560821
Privacy	0.0560531
diversification	0.0559359
"plant life"	0.0559263
cultivation	0.0555995
recreation	0.0555718
"road construction"	0.0555536
reef	0.055442
ecotourism	0.0553688
logging	0.0551614
efficiency	0.0549765
"way of life"	0.0548675
poverty	0.0547922
"ground water"	0.054696
unity	0.0546171
commercialization	0.0545635
"intellectual property rights"	0.0544972
mineral	0.0544175
taxation	0.0542679
"coal industry"	0.0542015
Everglades	0.0540207
Manpower	0.0539416
ozone	0.0539327
"urban planning"	0.0539133
mammal	0.0537644
"development strategy"	0.0537494
civilization	0.0535379
innovation	0.0535184
"investor confidence"	0.0533012
"land area"	0.0532303
"monarch butterfly"	0.0531061
welfare	0.0529146
"social security"	0.0527254
viability	0.0526089
advancement	0.0525302
"environmental science"	0.052529
survival	0.0525235
empowerment	0.052471
engineering	0.0524708
Housing	0.0523158
turtle	0.0522221
extinction	0.052205
"health care"	0.0516624
cohesion	0.0514231
vitality	0.0514182
telecommunication	0.0512409
exploration	0.0512296
"virgin forest"	0.0512101
salmon	0.0511847
Non-Proliferation	0.0511499
"conflict resolution"	0.0510851
rhinoceros	0.0509933
treasure	0.0509918
"fertility rate"	0.0509356
"coho salmon"	0.0507983
hydrology	0.0507916
"giant panda"	0.0507706
wealth	0.0507278
FDI	0.0506963
exploitation	0.0506543
reclamation	0.0506271
meteorology	0.0504753
literacy	0.0504236
restoration	0.0503297
capability	0.0502558
integration	0.0501308
stabilization	0.0500967
inhabitant	0.049945
undertaking	0.0498289
"life science"	0.0496674
"quality control"	0.0495931
reconstruction	0.0495472
"legal system"	0.0494365
globalization	0.0494092
breeding	0.0492947
standardization	0.049184
"labor market"	0.049148
underdevelopment	0.0490342
rainforest	0.0490096
"consumer interest"	0.049003
demilitarization	0.0488501
HIV/AIDS	0.0488377
"transportation system"	0.0488213
))
(bioengineering (desc 4006.14) (sims
Microelectronics	0.277107
biotechnology	0.273317
machine-building	0.243477
metallurgy	0.240736
"life science"	0.228363
petrochemical	0.204588
"building material"	0.193502
"chemical industry"	0.192438
automation	0.17931
engineering	0.164899
"information science"	0.16172
aeronautics	0.15939
electronics	0.159332
"genetic engineering"	0.158842
pharmaceutical	0.158569
"earth science"	0.156688
shipbuilding	0.156462
biology	0.156217
aerospace	0.152163
"household appliance"	0.144715
"nuclear energy"	0.144272
telecommunication	0.143588
"high technology"	0.136916
biochemistry	0.136827
"environmental science"	0.1363
"computer science"	0.134207
agronomy	0.131906
processing	0.128263
forestry	0.127371
multimedia	0.126669
"information technology"	0.126267
"molecular biology"	0.12462
aquaculture	0.122484
aviation	0.121579
"animal husbandry"	0.120296
"biological science"	0.120079
machinery	0.117485
Telecoms	0.116315
meteorology	0.116154
"machine tool"	0.114061
textile	0.113514
"home appliance"	0.113193
"communications technology"	0.111849
"social science"	0.111274
informatics	0.110411
biotech	0.110381
mining	0.110191
"veterinary medicine"	0.109993
"electronics industry"	0.1095
petroleum	0.109247
conservancy	0.107795
"civil engineering"	0.107327
manufacturing	0.107258
semiconductor	0.105836
ophthalmology	0.104824
foodstuff	0.104635
handicraft	0.104061
"medical science"	0.103994
"artificial intelligence"	0.103954
aquatics	0.103736
"electrical engineering"	0.103439
"solar energy"	0.1013
"mechanical engineering"	0.101001
optic	0.100759
oceanography	0.100131
agriculture	0.100094
robotics	0.0997526
"information service"	0.0993485
geophysics	0.0982346
telemedicine	0.0976261
TCM	0.0963062
neuroscience	0.0959624
"consumer goods"	0.095543
linguistics	0.0950963
"urban planning"	0.0935865
"fiber optics"	0.0933378
"food product"	0.0933096
export-oriented	0.0930693
Chemistry	0.0930073
"medical instrument"	0.0920805
automobile	0.0919967
biomass	0.0919094
transportation	0.0911238
"raw material"	0.0910168
"computer hardware"	0.0904259
ceramic	0.0903584
fibre	0.0902954
genetics	0.0898535
"information system"	0.0890021
genomics	0.0888981
agribusiness	0.0886927
"consumer electronics"	0.0880717
refining	0.0879218
"computer technology"	0.0878823
"electric power"	0.0877646
healthcare	0.0874891
ecology	0.0874885
"integrated circuit"	0.087259
"public utility"	0.087183
"consumer durables"	0.0868367
networking	0.0861856
radiology	0.0859033
"chemical engineering"	0.0855285
computing	0.0850308
"specialty chemical"	0.0846799
packaging	0.0834676
Telecom	0.0832114
appliance	0.0830875
horticulture	0.0817545
Internet@	0.0816984
hydrology	0.080498
"computer equipment"	0.0803401
imaging	0.0803015
husbandry	0.0795402
microbiology	0.0792585
"health food"	0.0791892
"communications equipment"	0.0788937
"road construction"	0.0783359
fishery	0.0781593
consultancy	0.0780341
"data processing"	0.0779727
warehousing	0.0776917
geology	0.0773812
mineral	0.076901
"real estate"	0.0766507
"soil conservation"	0.0764979
seismology	0.076179
"electronic equipment"	0.0759947
astronomy	0.0758203
"synthetic fiber"	0.0758188
commerce	0.0752815
garment	0.0749368
hydropower	0.0748243
catering	0.0747305
"computer application"	0.0747054
auto	0.0746786
know-how	0.0746699
"mineral resource"	0.0745728
"nuclear physics"	0.0740158
CDMA	0.0733115
"solar power"	0.0732084
sensing	0.0731674
Botany	0.0720971
"rare earth"	0.0720614
neurobiology	0.0717254
weight-loss	0.0710122
fertilizer	0.0707149
avionics	0.07047
"motor vehicle"	0.0694594
irrigation	0.0692304
pharmacology	0.0691069
breeding	0.0690543
"computer programming"	0.0690466
desalination	0.0690321
beverage	0.068993
"coal gas"	0.0689282
"interior decoration"	0.0689142
"spare part"	0.0688057
neurology	0.0687874
footwear	0.0687521
"nuclear power"	0.0682239
"preventive medicine"	0.0679412
"electronic warfare"	0.0678524
"public works"	0.0676445
"wind power"	0.0671616
printing	0.0671432
industrialization	0.0671072
"fine arts"	0.0669164
Toxicology	0.0666391
"five key"	0.0666385
diagnostics	0.066565
zoology	0.0665284
logistics	0.0659486
nutrition	0.0657791
"city planning"	0.0657514
"data communication"	0.065698
cosmetic	0.065047
conservation	0.0645684
afforestation	0.0644797
CAD	0.0644686
nuclear-weapons	0.0643443
NSP	0.0642965
anthropology	0.0641957
"computer operation"	0.0639534
Urology	0.0639021
entrepreneurship	0.0636547
"natural resource"	0.0636104
physiology	0.0632906
"consumer product"	0.0630147
spaceflight	0.0629981
"natural science"	0.0629968
psychiatry	0.0623982
Pediatrics	0.0620283
astrophysics	0.0619118
Immunology	0.0617895
broadcasting	0.0617835
utilization	0.0617141
pathology	0.0614758
Encryption	0.0613969
lubricant	0.0613684
))
(bioethicist (desc 1334.37) (sims
ethicist	0.358312
neuroscientist	0.109154
endocrinologist	0.105472
geophysicist	0.104443
sociologist	0.10244
"Wharton School"	0.0998147
"political scientist"	0.0970557
"associate professor"	0.0949308
"visiting professor"	0.0932684
linguist	0.0913254
criminologist	0.0860871
"graduate student"	0.0857846
"computer scientist"	0.0832893
psychiatry	0.0830227
cardiologist	0.0820963
physiologist	0.0797632
ethicists	0.0732381
Gastroenterologist	0.070694
"art historian"	0.0680435
toxicologist	0.0661453
"clinical psychologist"	0.0659184
urologist	0.0642685
anthropology	0.0634985
"English department"	0.0630243
Provost	0.0627559
epidemiologist	0.0611402
nutritionist	0.0604558
neurologist	0.0602859
ecologist	0.0601763
"social scientist"	0.0600793
psychoanalyst	0.0599406
sociology	0.0593158
folklorist	0.0586653
"electrical engineering"	0.0585153
"sports writer"	0.058309
"assistant professor"	0.0581436
"political science"	0.0571252
"Larry Sabato"	0.0567413
"computer expert"	0.0565053
microbiologist	0.0562138
oncologist	0.056188
theologian	0.0561753
"dormitory room"	0.0558962
biochemist	0.0558413
paleontologist	0.0556329
dermatologist	0.0542972
"science teacher"	0.0538695
"Michael Murphy"	0.0537587
anthropologist	0.0534267
"Florida Republican"	0.0531258
"aerospace engineer"	0.0525321
geneticist	0.0515124
"hockey coach"	0.0511675
"law degree"	0.0508707
Pediatrics	0.050771
cosmologist	0.050505
preservationist	0.0502766
dietitian	0.0490746
climatologist	0.0483996
dermatology	0.0479024
clinician	0.0476682
"law student"	0.0474731
kayaker	0.0472863
co-editor	0.0472712
"English professor"	0.0469944
notary	0.0466743
linguistics	0.0463832
demographer	0.0463539
statistician	0.0463358
"baseball coach"	0.0456346
professorship	0.0456041
neurology	0.0454421
immunologist	0.0450965
"mechanical engineering"	0.0449658
musicologist	0.0448179
zoology	0.0443894
criminology	0.044087
astrophysicist	0.0440182
zoologist	0.0430151
"department head"	0.041785
"Esther Dyson"	0.0416465
"comparative literature"	0.0412795
"business editor"	0.0408457
internist	0.0401539
psychotherapist	0.0401527
))
(biogas (desc 1080.74) (sims
"wind power"	0.175633
biomass	0.163441
hydropower	0.153297
"solar power"	0.140161
ethylene	0.135316
desalination	0.12072
methanol	0.120126
LNG	0.116723
POTASH	0.112308
telomerase	0.110736
Filtration	0.108887
"solar energy"	0.107766
tritium	0.103132
"gas turbine"	0.103126
"steam turbine"	0.101696
"coal gas"	0.101666
"nuclear energy"	0.0991478
hydro	0.0989148
polypropylene	0.0986706
"rare earth"	0.0978374
"heavy water"	0.096065
"rolling stock"	0.094784
LPG	0.0924337
urea	0.0922815
newsprint	0.0917941
petrochemical	0.0915655
polyethylene	0.0914438
condensate	0.0907027
phosphate	0.0902168
"electric power"	0.0870656
ethanol	0.0870253
combustion	0.0866479
methane	0.0863962
plutonium	0.0833951
"diesel engine"	0.083106
irradiation	0.0825748
hydrocarbon	0.0819299
hydrogen	0.0806258
"sewage disposal"	0.080439
"veterinary medicine"	0.0789048
"fossil fuel"	0.0777172
"liquefied petroleum gas"	0.0775446
SEABROOK	0.076683
"food grain"	0.07587
"polyvinyl chloride"	0.0754726
Microelectronics	0.0753118
nuclear-weapons	0.0751262
"pig iron"	0.0750754
lubricant	0.0750515
"compact car"	0.0744702
"medical instrument"	0.0740979
"diesel fuel"	0.073961
evaporation	0.0739439
IC	0.0739008
sewerage	0.0727563
"integrated circuit"	0.0721762
melatonin	0.0718216
jute	0.0712976
compressor	0.0711779
telemedicine	0.0705503
lysine	0.0705459
"cane sugar"	0.0703821
starch	0.0703282
"beam of light"	0.0700832
refining	0.0697986
flax	0.0693545
"electric motor"	0.0692883
"garbage disposal"	0.069066
wastewater	0.068942
"fuel cell"	0.0688061
webcams	0.0687151
videophone	0.0679494
ammonia	0.0678611
"poison gas"	0.0667013
CFCs	0.0666992
"building material"	0.0656472
semiconductor	0.0648538
"global positioning system"	0.0644753
herbicide	0.0642386
propane	0.0642165
"nitric oxide"	0.0640833
diffusion	0.0633952
conservancy	0.0632604
"sex hormone"	0.0631104
"fish meal"	0.0627194
oilseed	0.0626486
turbine	0.0626414
"telephone set"	0.0625676
incineration	0.0624758
mw	0.0624673
refrigeration	0.0624336
microcomputer	0.0618463
"plastic explosive"	0.0614313
Bushehr	0.0613112
dopamine	0.0610021
"radio frequency"	0.0609163
cannabis	0.060838
Zonolite	0.0608077
GPS	0.0605162
ingot	0.0604923
"neutron bomb"	0.060471
PVC	0.0604492
briquette	0.060339
cellulose	0.0603353
microchip	0.0601939
Erythropoietin	0.0601066
forklift	0.0600367
bioengineering	0.0599933
"Windows Media Player"	0.0599199
"steel plate"	0.0595869
"electrical power"	0.0591335
interferon	0.0589769
Milkweed	0.0589409
"red blood cell"	0.0583138
Lycra	0.0582645
beryllium	0.0581597
olestra	0.0581385
"Unit @"	0.0580968
"Ford Motor Company"	0.0578219
"Roundabout Theater Company"	0.057666
"Honda Motor Co."	0.0574968
ragweed	0.0574091
"rocket fuel"	0.0571663
"Nile River"	0.0570149
"tap water"	0.0569627
air-conditioner	0.0568704
watt	0.0567641
"picture tube"	0.0566973
"computer operation"	0.0565731
"synthetic fiber"	0.0564165
benzene	0.0564075
cobalt	0.0562721
SDH	0.0562526
"chemical agent"	0.0562249
aluminium	0.0562075
"machine tool"	0.0559185
hGH	0.0558762
Firewood	0.0554841
isotope	0.0554764
enrichment	0.0553737
purification	0.0552939
"fuel oil"	0.055278
Putonghua	0.0552541
Tokaimura	0.0552202
Gadsden	0.0550072
"household appliance"	0.0548541
sewing	0.0547192
andro	0.0547089
Citroen	0.0546751
"cashew nut"	0.0546174
bitumen	0.0545107
DAP	0.054375
"jet engine"	0.0543746
"elementary education"	0.0543236
Nuke	0.0542796
aquaculture	0.0539806
rapeseed	0.0536745
Optics	0.0535949
GEF	0.0528802
wafer	0.0528775
"opium poppy"	0.0526774
harvester	0.0526564
"palm oil"	0.0525519
Internet@	0.0525191
insecticide	0.0524955
millstone	0.0523526
"fiber optics"	0.0521408
intranet	0.0520852
Spyglass	0.0520011
"nerve gas"	0.0517608
Gypsum	0.0517019
aquatics	0.0516614
"atomic energy"	0.0514725
"four million tons"	0.0514456
"iron ore"	0.0514002
"ground water"	0.0512013
"Oak Ridge"	0.0511444
"Lincoln Center Theater"	0.0510569
dram	0.0510256
Rouge	0.0507363
stents	0.0506914
Smithfield	0.0506592
collagen	0.050613
"black tea"	0.0504256
resin	0.0503922
shipbuilding	0.0503386
"sign language"	0.0502477
ultrasound	0.0501621
penicillin	0.0501219
ICS	0.050068
ammo	0.0500402
aquiculture	0.0499608
acorn	0.0499434
buckwheat	0.0498559
agave	0.0497707
"home appliance"	0.0495973
"Joint Strike Fighter"	0.0495776
"another seven"	0.0495135
metallurgy	0.0494719
sensing	0.0494128
))
(Biogen (desc 2711.79) (sims
Chiron	0.286851
Genentech	0.252638
Amgen	0.214124
ALZA	0.197645
UAL	0.195366
McKesson	0.183152
"Thermo Electron"	0.182295
EMC	0.175983
SmithKline	0.175367
Halliburton	0.1716
"Gap Inc."	0.168474
"J&AMP;J"	0.166197
"Stride Rite"	0.166093
Mattel	0.162555
RJR	0.161906
ENTREMED	0.161833
Emulex	0.161586
Honeywell	0.161084
VENATOR	0.160565
MiniMed	0.160025
Novell	0.157007
Healtheon/WebMD	0.156657
CCE	0.155515
Glaxo	0.154954
ExciteAtHome	0.154101
Medtronic	0.152389
"Boston Scientific"	0.151885
Qualcomm	0.151546
Sunbeam	0.15003
E-LOAN	0.149917
Warner-Lambert	0.149645
Genzyme	0.145986
"P&AMP;G"	0.145351
Ciena	0.143207
"HBO &AMP; Co."	0.142863
"Times Mirror"	0.140314
Merck	0.140265
"Waste Management"	0.140097
Nortel	0.139052
Corel	0.137898
Unisys	0.137586
AHP	0.136983
Pharmacia	0.136411
Pfizer	0.136152
Penney	0.135879
XYLAN	0.135088
"International Paper"	0.13462
WebMD	0.13462
Polaroid	0.134071
"American Home"	0.133014
Bristol-Myers	0.132876
GANNETT	0.132781
"U.S. Trust"	0.132167
BankAmerica	0.132092
TYCO	0.131521
Agilent	0.131346
NORTHROP	0.131117
Georgia-Pacific	0.130263
"Advanced Micro"	0.130123
REVLON	0.129448
"Computer Associates"	0.129209
Broadcom	0.129125
AstraZeneca	0.128547
Gillette	0.128413
Alcoa	0.127816
Bestfoods	0.127319
oracle	0.127211
"Dayton Hudson"	0.126188
"Sara Lee"	0.12612
Immunex	0.125965
SDL	0.125817
Aetna	0.125645
Clorox	0.125316
"JDS Uniphase"	0.125144
Enron	0.124952
"UAL Corp."	0.124614
AIG	0.124146
Litton	0.123918
Weyerhaeuser	0.12368
Cisco	0.122756
Pitney	0.122556
Warnaco	0.121522
Cendant	0.121221
Gilead	0.121214
Hewlett-Packard	0.121171
RAMBUS	0.120929
SGI	0.120771
Citigroup	0.120502
Sepracor	0.120137
Seagate	0.120085
"Dell Computer"	0.120033
COLTEC	0.119882
CMGI	0.119696
PEOPLESOFT	0.119656
Kellogg	0.119108
"Oracle Corp."	0.118659
Totalfina	0.118462
AMR	0.117615
Mannesmann	0.116356
Tenneco	0.116085
"Dow Chemical"	0.115954
Xerox	0.115741
Tandy	0.11528
NatWest	0.115212
"Times Co."	0.114961
Asda	0.114863
Pepsico	0.114591
Gymboree	0.114534
HBOC	0.114365
Marketspan	0.114309
Webvan	0.114237
Novartis	0.114036
"Y&AMP;R"	0.113838
Raytheon	0.113662
"Ford Motor"	0.113443
Checkfree	0.11339
ARCO	0.113178
PLDT	0.112814
Bridgestone	0.112559
Starwood	0.112491
"Johnson &AMP; Johnson"	0.11233
Livent	0.11217
Compaq	0.111324
Inktomi	0.110335
"GE Capital"	0.110272
Texaco	0.110221
Broderbund	0.109934
Roche	0.109916
Kodak	0.109833
GTE	0.109816
Healtheon	0.109718
Geron	0.109476
Norwest	0.109441
"Learning Co."	0.109248
WorldCom	0.109144
Nabisco	0.109116
SBC	0.108996
Seagram	0.108472
EarthLink	0.108124
Aegon	0.107972
"Bank of Scotland"	0.107866
Cabletron	0.107556
Equifax	0.107457
Maytag	0.107245
Ericsson	0.107232
"Berkshire Hathaway"	0.107229
Daimler	0.107164
CNET	0.106962
"Silicon Graphics"	0.105913
Priceline.com	0.105566
"Adobe Systems"	0.105198
"Pacific Century"	0.105056
WPP	0.105044
Unicom	0.104996
"National Grid"	0.104984
"State Street"	0.104688
AMP	0.104658
BankBoston	0.104653
Providian	0.104636
"Apple Computer"	0.104494
Airtouch	0.104444
"U S West"	0.104167
Conseco	0.103845
"First Union"	0.103781
TKT	0.103515
"Knight Ridder"	0.103496
Transamerica	0.103112
Sybase	0.103032
Deutsche	0.103026
"BP Amoco"	0.102729
"RJR Nabisco"	0.10267
Priceline	0.102577
Dupont	0.102516
Scientific-Atlanta	0.102453
"Network Associates"	0.102213
Associates	0.102046
Hasbro	0.101945
Viacom	0.101882
Pinkerton	0.101689
Incyte	0.101344
Astra	0.101329
CUC	0.100861
Terra	0.100838
"MCI WorldCom"	0.100596
Reebok	0.100556
Alltel	0.100369
"Coca-Cola Co."	0.100339
TELLABS	0.100246
"Global Crossing"	0.0999972
Intel	0.0997573
"Sun Microsystems"	0.0995831
Humana	0.0993717
Nextel	0.0993526
PictureTel	0.098469
AutoNation	0.0984438
Celera	0.0981434
China.com	0.0979265
AlliedSignal	0.097714
Dell	0.0976989
SDB	0.0974258
))
(biographer (desc 17580.6) (sims
historian	0.128885
essayist	0.124141
biography	0.107311
novelist	0.0897258
scholar	0.087793
poet	0.0865389
philosopher	0.0820479
cartoonist	0.081247
Playwright	0.0810684
"art historian"	0.0807242
author	0.080696
psychoanalyst	0.0786128
writer	0.0765864
admirer	0.0746565
commentator	0.0731799
critic	0.0725981
translator	0.0724204
theologian	0.0719768
theorist	0.071548
journalist	0.0713842
filmmaker	0.0706376
newspaperman	0.0681435
screenwriter	0.0674319
dramatist	0.0669733
linguist	0.066697
"social scientist"	0.0660118
columnist	0.065529
anthropologist	0.0652858
painter	0.0640645
reviewer	0.064008
"music critic"	0.0636146
filmmakers	0.0633936
sociologist	0.0619608
photographer	0.0616296
chronicler	0.0613074
speechwriter	0.0607121
archaeologist	0.0604012
composer	0.0601903
pundit	0.0596027
biologist	0.0569301
cinematographer	0.0568015
educator	0.0560789
collector	0.0556887
curator	0.0556315
editor	0.055443
academic	0.0548517
musicologist	0.0548225
collaborator	0.0543708
laureate	0.0542747
researcher	0.0542439
editorialist	0.0540324
paleontologist	0.0533904
musician	0.053257
executor	0.0530693
lecturer	0.0525488
violinist	0.0523303
geologist	0.0520658
confidant	0.0520648
archeologist	0.0516551
detractor	0.0515932
folklorist	0.051526
intellectual	0.0513154
confidante	0.0512762
sculptor	0.0512328
satirist	0.0510635
Reader	0.0510198
skeptic	0.0508333
archivist	0.0506164
"English professor"	0.0501572
winemaker	0.0500633
humorist	0.0498495
buff	0.0497496
portrait	0.0497302
physicist	0.0496919
scientist	0.049211
jurist	0.0489159
architect	0.0487801
"newspaper editor"	0.0486505
lyricist	0.0481765
songwriter	0.0478288
chef	0.0478186
coauthor	0.0477908
choreographer	0.047572
panelist	0.0472886
pianist	0.0472356
observer	0.0469757
correspondent	0.0467218
adviser	0.0466287
"house guest"	0.0465796
astronomer	0.0465033
watcher	0.0464886
astrologer	0.0463753
botanist	0.0462639
publicist	0.0462561
appointee	0.0461522
insider	0.0459333
psychologist	0.0458127
tutor	0.0455482
restaurateur	0.0454677
"church member"	0.0454566
devotee	0.0454049
statesman	0.0452017
thinker	0.0451046
narrator	0.0450544
pollster	0.0449236
stylist	0.044552
interviewer	0.0444256
aide	0.0443521
"prize winner"	0.0442717
connoisseur	0.0441683
statesmen	0.0440574
designer	0.0440023
therapist	0.0439201
mathematician	0.0438187
publisher	0.0436387
calligrapher	0.0433901
illustrator	0.0430832
"faculty member"	0.0430104
mentor	0.04298
physician	0.0429707
aficionados	0.0429439
backer	0.0422636
economist	0.0422451
"campaign official"	0.0421846
scribe	0.0421684
descendant	0.0421399
ballplayer	0.0420351
storyteller	0.0418588
sportswriter	0.0417356
"Edmund Morris"	0.0415108
librarian	0.0414269
neurologist	0.0412559
"legal expert"	0.0412475
contributor	0.0411387
strategist	0.0410815
practitioner	0.0408504
"character actor"	0.0408157
"trial attorney"	0.0407956
grandson	0.0404517
"family member"	0.040382
patron	0.0402783
doubter	0.0401034
))
(biography (desc 65046.1) (sims
memoir	0.170922
autobiography	0.154889
book	0.135602
portrait	0.130462
novel	0.127004
documentary	0.126269
diary	0.118741
fiction	0.11602
story	0.111561
essay	0.109965
biographer	0.107311
poem	0.100274
photograph	0.100253
article	0.100147
profile	0.0998594
picture	0.0988404
tale	0.0949248
cookbook	0.0945635
narrative	0.0940054
nonfiction	0.0934028
"short story"	0.0912548
text	0.0892167
film	0.088508
collection	0.0869966
poetry	0.086249
Bio	0.0859666
description	0.0853619
photo	0.0849836
Encyclopedia	0.0841705
commentary	0.0839566
drama	0.0834501
literature	0.0834234
account	0.0831481
tome	0.0830766
Screenplay	0.0829608
movie	0.0825373
manuscript	0.0820358
translation	0.0815698
history	0.0811703
guide	0.0809431
textbook	0.0807963
writing	0.0804161
dictionary	0.0793736
script	0.0792458
image	0.0788445
transcript	0.0776653
"reference work"	0.0775849
video	0.0775763
painting	0.0770257
study	0.0767509
document	0.0766791
prose	0.0757434
sketch	0.0757407
version	0.075639
Anthology	0.0755926
Bibliography	0.0747882
music	0.074554
adaptation	0.074499
"magazine article"	0.074063
journal	0.0731762
catalog	0.0730372
portrayal	0.0730122
life	0.0727239
Recording	0.0726201
edition	0.0724936
Song	0.0722948
interview	0.0721371
"life story"	0.0721275
summary	0.0719842
"reference book"	0.0710312
comedy	0.0709182
letter	0.0708201
album	0.070363
musical	0.0703489
Saga	0.0701079
review	0.0697234
guidebook	0.0695303
thriller	0.0694456
obituary	0.0693703
monograph	0.0693265
analysis	0.0692186
manual	0.0686584
Bible	0.0685599
excerpt	0.0681406
paperback	0.0675546
pamphlet	0.067463
Journalism	0.0673629
cartoon	0.0672187
style	0.0670931
chronicle	0.0669717
"best seller"	0.0668745
miniseries	0.0659995
brochure	0.0656116
compilation	0.0651929
speech	0.0651829
map	0.0646959
testimony	0.0646149
character	0.0644857
note	0.064437
art	0.0642578
page	0.064211
series	0.0641474
piece	0.0641022
correspondence	0.0637579
glimpse	0.0637554
opinion	0.0636124
"love story"	0.0635996
trilogy	0.0633956
presentation	0.0633909
chapter	0.0633148
footage	0.0627999
special	0.0627436
"newspaper article"	0.0625022
paper	0.0624836
feature	0.0623701
publication	0.0623516
magazine	0.0621174
adventure	0.0619553
anecdote	0.0618148
sequel	0.0614851
AD	0.0614825
memo	0.0613396
"documentary film"	0.0613257
column	0.0611039
drawing	0.0610848
episode	0.0607837
exhibit	0.0605961
detail	0.0605212
archive	0.0605103
handbook	0.0604876
clip	0.0603976
advertisement	0.0602584
depiction	0.0602465
satire	0.0601978
poster	0.0598253
booklet	0.0598017
personality	0.0597862
opera	0.059752
"feature film"	0.0595493
legacy	0.0595292
survey	0.0593031
memory	0.0592965
mystery	0.0591684
videotape	0.0590491
recipe	0.0588978
illustration	0.0588583
editorial	0.0587566
classic	0.058755
list	0.0587108
likeness	0.0586776
epic	0.058669
masterpiece	0.0584035
manifesto	0.0583277
memorabilia	0.058156
"news story"	0.058042
parody	0.0579379
tribute	0.0575672
snapshot	0.0575559
treatise	0.0575521
sermon	0.0573976
lyric	0.0573409
Entertainment	0.0572288
admirer	0.0570561
introduction	0.0570056
fantasy	0.0567038
Romance	0.0566109
material	0.0565448
BIOS	0.0562093
author	0.0562075
myth	0.0558392
caricature	0.0558257
word	0.0557077
interpretation	0.0556836
legend	0.0556518
coverage	0.0556441
experience	0.0555025
directory	0.05533
reminiscence	0.0552922
vision	0.0551218
chronology	0.05509
copy	0.0550883
"television show"	0.0548281
observation	0.0547593
spectacle	0.0547296
"soap opera"	0.0545633
newsletter	0.054408
overview	0.0543531
Compendium	0.0542904
career	0.0542844
"comic book"	0.0542806
indictment	0.0541387
statue	0.0540761
print	0.0540627
conversation	0.0539513
chart	0.0539396
sitcom	0.053768
calendar	0.0536034
commercial	0.0534219
confession	0.0533432
listing	0.0531498
))
("biological clock" (desc 1552.65) (sims
"circadian rhythm"	0.155766
metronome	0.130063
thermostat	0.0884651
metabolism	0.0867085
"brain wave"	0.0795575
telomeres	0.0730164
"time bomb"	0.0702456
pathway	0.0694803
"alarm clock"	0.067699
"sense of balance"	0.0646592
"circulatory system"	0.0642725
"digestive system"	0.0631977
"nervous system"	0.0631389
T-cells	0.0616084
odometer	0.0606885
fallibility	0.0598488
"body temperature"	0.0590768
macro-economy	0.056813
"digestive tract"	0.0560888
dopamine	0.0558387
"blood sugar"	0.0551102
maneuvering	0.0535824
respiration	0.0535605
receptor	0.0531546
supposition	0.0526487
circuitry	0.0522651
lifespan	0.0520736
"budget debate"	0.0511555
stopwatch	0.0511117
"white blood cell"	0.0509748
"time clock"	0.0509528
"natural process"	0.0504232
lightbulb	0.0498096
"surveillance system"	0.0495636
GPS	0.0495183
Sens	0.0489741
"vocal cord"	0.0487917
particulates	0.0484102
"body weight"	0.0483313
hemoglobin	0.0477197
"slush fund"	0.0473235
"central nervous system"	0.0468644
"market order"	0.0466763
"working day"	0.0461653
"embryonic cell"	0.0460101
"right to privacy"	0.0455896
cannonball	0.0453619
"videocassette recorder"	0.045314
"brain cell"	0.0450525
"blood cell"	0.044715
genomes	0.0446667
"legislative branch"	0.044539
toolbars	0.0440033
"skin cell"	0.0439376
"Homo sapiens"	0.043889
"smoke alarm"	0.0438493
"horizontal stabilizer"	0.0438316
tip-off	0.0430493
femur	0.0429833
excrement	0.0428029
Turandot	0.0426784
"traffic signal"	0.0426216
"ocean current"	0.0422697
carnivore	0.0421742
FTAA	0.0421059
workday	0.0418709
Reauthorization	0.0414148
Ingestion	0.041274
mitochondria	0.0412716
"oil slick"	0.0412595
clotting	0.0411429
"life cycle"	0.0410576
beeper	0.041046
processional	0.0410151
carrying	0.0407299
Sotomayor	0.0404714
compass	0.0403227
Coia	0.0401695
gyroscope	0.0401113
abattoir	0.0400157
))
("biological science" (desc 1845.93) (sims
"mechanical engineering"	0.194139
"computer science"	0.182075
"civil engineering"	0.180894
criminology	0.168742
"chemical engineering"	0.167105
zoology	0.163768
pharmacology	0.15918
biochemistry	0.158219
ophthalmology	0.158041
"environmental science"	0.156659
"political science"	0.155261
"information science"	0.155219
"social science"	0.154965
"social work"	0.147963
"earth science"	0.137136
"natural science"	0.135522
Botany	0.134978
"molecular biology"	0.134765
geology	0.132582
"comparative literature"	0.131578
"electrical engineering"	0.131504
Urology	0.130912
sociology	0.12877
"life science"	0.127568
radiology	0.12605
biology	0.125682
agronomy	0.124924
engineering	0.122988
mathematics	0.121754
neurology	0.120978
meteorology	0.120538
bioengineering	0.120079
geophysics	0.11751
hydrology	0.112263
anthropology	0.111684
microbiology	0.110836
"communications technology"	0.110475
"preventive medicine"	0.109838
linguistics	0.109265
"applied science"	0.109227
economics	0.109043
aeronautics	0.108826
dermatology	0.107018
obstetrics	0.105234
theology	0.105066
"fine arts"	0.104907
astronomy	0.103075
psychiatry	0.102908
"liberal arts"	0.101991
"urban planning"	0.101745
seismology	0.0974228
physiology	0.0968797
epidemiology	0.0967244
"nuclear physics"	0.0965501
ecology	0.0960194
"physical education"	0.094393
demography	0.0941644
divinity	0.093793
physics	0.0932834
"political economy"	0.0932142
"medical science"	0.0930467
metallurgy	0.0917058
"veterinary medicine"	0.0916533
neuroscience	0.0900245
neurobiology	0.0898413
astrophysics	0.0884944
"San Francisco State University"	0.086852
psychology	0.0856718
oncology	0.0844579
horticulture	0.0839357
biotechnology	0.0832247
endocrinology	0.082921
Pediatrics	0.0823621
dentistry	0.081559
gynecology	0.0812506
"computer programming"	0.081166
pathology	0.0805655
forestry	0.0805431
math	0.0788511
"elementary education"	0.0774616
archaeology	0.0758811
"internal medicine"	0.0758411
nursing	0.0754962
machine-building	0.0746334
"artificial intelligence"	0.0735459
"Yale Law School"	0.0732182
genetics	0.0724093
Immunology	0.0723771
"Carnegie Mellon University"	0.0705682
"commercial law"	0.0688088
Cardiology	0.0684209
archeology	0.066906
nutrition	0.0665985
"atomic energy"	0.0663974
automation	0.0663961
paleontology	0.0660012
"information system"	0.0655993
geography	0.0655212
"Makerere University"	0.0648884
"computer graphics"	0.0648032
oceanography	0.0627372
geriatrics	0.0595814
"Colorado State University"	0.0592716
"Baylor University"	0.0582329
"New Testament"	0.0582098
optic	0.0580359
"plastic surgery"	0.0573447
Microelectronics	0.0569708
"physical therapy"	0.0568174
agro-technology	0.0566147
"Harvard Law School"	0.0563138
aquaculture	0.0561338
"University of Nebraska"	0.0556816
jurisprudence	0.0554624
"Harvard Business School"	0.0551648
Talmud	0.0548416
"University of Oklahoma"	0.0547876
"fine art"	0.0547522
"economic theory"	0.0543794
"Old Testament"	0.0538453
"Harvard School of Public Health"	0.0537127
M.A	0.0536289
"creature comforts"	0.0533473
"University of Hawaii"	0.0532612
"particle physics"	0.0532323
"Arizona State University"	0.0532196
aerodynamics	0.0532147
"Yale university"	0.0530687
"Kennedy School"	0.0526893
"University of China"	0.0524251
"special education"	0.0515863
"North Carolina State University"	0.0514944
"city planning"	0.0513711
"criminal law"	0.0512002
Anatomy	0.0510394
"nuclear energy"	0.050668
"Fordham University"	0.0506146
"Hebrew University"	0.0506095
crime-fighting	0.0503788
"Chinese University of Hong Kong"	0.0503267
"Brandeis University"	0.0501779
Toxicology	0.0499551
agribusiness	0.0499003
aerospace	0.0495779
dissertation	0.0487797
"fire control"	0.0481519
"University of Toronto"	0.0480411
"genetic engineering"	0.0476542
"Center for Science"	0.047607
"computer technology"	0.0474781
"animal husbandry"	0.0471141
"University of Chicago"	0.047048
"chemical industry"	0.046893
"University of Pittsburgh"	0.0466055
calculus	0.0463741
"Wharton School"	0.0461415
"University of Washington"	0.0460967
urbanism	0.0458897
"Southern Methodist University"	0.045886
"adult education"	0.045457
refrigeration	0.0449094
"Michigan State University"	0.0445072
informatics	0.0442679
"Rutgers University"	0.0428353
"University of Maryland"	0.0426311
"Nanjing University"	0.0425414
"University of Iowa"	0.0424519
"University of Arkansas"	0.0422009
"Harvard Medical School"	0.0420169
"human factor"	0.0414949
"administrative law"	0.0414022
darkroom	0.0411929
algebra	0.0411638
"Emory University"	0.0410764
"George Washington University"	0.0408412
shui	0.0406842
"Northeastern University"	0.0404111
forecasting	0.0402302
husbandry	0.0401388
"vocational education"	0.0401179
"University of Arizona"	0.0400714
))
("biological warfare" (desc 2399.41) (sims
"germ warfare"	0.297707
"chemical warfare"	0.245036
nuclear-weapons	0.168289
germ	0.130172
warfare	0.0830956
"nuclear weapon"	0.0811488
"ballistic missile"	0.0770588
"poison gas"	0.0765535
counterterrorism	0.0716334
"psychological warfare"	0.0707926
"nuclear explosion"	0.0685981
smallpox	0.0682414
Nuke	0.0682367
"artificial intelligence"	0.0681228
telemedicine	0.0673505
sectarianism	0.0659747
CERN	0.061745
spaceflight	0.0611267
annihilation	0.059487
"proxy fight"	0.059419
stealth	0.0593492
"Met Life"	0.0587079
bioengineering	0.0586662
defoliant	0.0584341
emulation	0.0584121
dictation	0.0581355
extremism	0.0580438
"neutron bomb"	0.057432
ICBM	0.0574233
microbe	0.0572446
counterintelligence	0.0570961
separatism	0.056326
cryptography	0.0558232
"computer graphics"	0.0557077
"atom bomb"	0.0556888
eight-week	0.0555964
VX	0.055118
shipbuilding	0.054156
"air defense"	0.0541375
multimedia	0.0540984
brinksmanship	0.0536684
aerospace	0.0532671
metallurgy	0.0528894
Webcam	0.0526024
self-protection	0.0525766
eugenics	0.0525445
"mustard gas"	0.0524612
forwarding	0.052414
X-@@	0.0522011
"garbage disposal"	0.0514706
sensitization	0.0510339
"nerve gas"	0.0507169
Jihad	0.0507037
biotechnology	0.0502766
"sexually transmitted disease"	0.0498365
munition	0.0498211
imaging	0.0497509
"air attack"	0.0496037
"crowd control"	0.0495255
GSS	0.0493766
robotics	0.0489985
"atomic bomb"	0.0487446
anthrax	0.0487022
polymer	0.0484465
"U.S. Border Patrol"	0.048327
Toxicology	0.048244
"tit for tat"	0.0478225
vandalism	0.0477198
coloring	0.0472446
hyperinflation	0.0471917
cellulose	0.0469899
"guided missile"	0.0469841
"intelligence operation"	0.0464379
plasma	0.0463849
reconnaissance	0.0463413
propulsion	0.0463233
naturalization	0.0462688
airstrike	0.0462122
usability	0.0460914
overheating	0.0460475
weight-loss	0.045848
weaponization	0.0457881
CAD	0.0457608
"Lyme disease"	0.0456517
"data processing"	0.0452961
"North Korean"	0.0447991
"Trojan Horse"	0.044765
Os	0.0447636
"hostile takeover"	0.0447402
"coal gas"	0.0447199
C-@@@J	0.0446112
fundamentalism	0.0445487
weaponry	0.0439778
Americorps	0.0436588
enrichment	0.0432532
IC	0.042814
"ground attack"	0.0428083
aquatics	0.0427006
"chemical agent"	0.0423665
"space walk"	0.0421104
"synthetic fiber"	0.0420139
"Joint Strike Fighter"	0.041977
Sleepwalking	0.0416005
"particle physics"	0.0415392
leasing	0.0414258
nuts-and-bolts	0.041337
THAAD	0.0411517
melanoma	0.0411469
"atomic energy"	0.0411072
decontamination	0.0407307
detoxification	0.0405845
"electronic warfare"	0.0404727
CDMA	0.0404639
martial-arts	0.0404503
destabilization	0.0403776
"genetic engineering"	0.0403597
genomics	0.0402937
"skin cancer"	0.0401326
biomass	0.0400749
))
(biologist (desc 29695.8) (sims
researcher	0.20922
scientist	0.208349
paleontologist	0.175683
geneticist	0.171106
geologist	0.167898
astronomer	0.163519
archaeologist	0.162131
physicist	0.16125
anthropologist	0.160865
psychologist	0.15857
ecologist	0.157202
historian	0.153738
archeologist	0.145939
sociologist	0.141026
chemist	0.140912
professor	0.139373
expert	0.137552
specialist	0.137325
entomologist	0.134821
pathologist	0.128051
scholar	0.127817
epidemiologist	0.126894
mathematician	0.124393
zoologist	0.124344
astrophysicist	0.121673
engineer	0.121487
microbiologist	0.120752
geophysicist	0.118228
educator	0.117782
"political scientist"	0.11756
"computer scientist"	0.116311
linguist	0.115731
economist	0.115683
botanist	0.115297
conservationist	0.109106
statistician	0.107885
"graduate student"	0.106471
seismologist	0.105987
"social scientist"	0.105879
biochemist	0.103189
cardiologist	0.102777
academic	0.101449
neuroscientist	0.100233
physician	0.0998626
ornithologist	0.0984596
toxicologist	0.0983464
"assistant professor"	0.0980278
technician	0.0978351
demographer	0.0977919
cosmologist	0.0976588
"legal expert"	0.0971728
forester	0.0969057
investigator	0.0965677
psychiatrist	0.0962947
environmentalist	0.0950094
"art historian"	0.0948215
doctor	0.0937501
surgeon	0.0935205
meteorologist	0.0933299
planner	0.092234
oncologist	0.0918076
neurologist	0.0906338
nutritionist	0.0898423
Programmer	0.0895672
forecaster	0.0894082
auditor	0.0889851
pediatrician	0.0883784
veterinarian	0.0882174
lecturer	0.0873808
physiologist	0.0867653
"electrical engineer"	0.0866115
librarian	0.0860063
immunologist	0.0853407
oceanographer	0.0851895
administrator	0.0839496
naturalist	0.0839459
philosopher	0.0820333
agronomist	0.0816425
"social worker"	0.0815796
ethicists	0.08142
watcher	0.0806045
"associate professor"	0.0800627
architect	0.0800592
endocrinologist	0.0786705
geographer	0.0785494
theologian	0.0782403
"English professor"	0.0774031
accountant	0.0765616
archivist	0.0763501
technologist	0.0761909
advocate	0.0757314
theorist	0.0755442
"federal official"	0.0754822
consultant	0.0754565
"faculty member"	0.075177
"law student"	0.0745316
author	0.0744726
"computer programmer"	0.0741396
analyst	0.0736652
biology	0.0731244
Provost	0.0727845
"computer expert"	0.0726486
professional	0.0726135
"policy maker"	0.0721727
clinician	0.0720333
therapist	0.0719396
"business leader"	0.0719031
"market watcher"	0.0719016
appraiser	0.0715777
"business executive"	0.0712634
pharmacologist	0.0711311
"economic expert"	0.0707961
journalist	0.0703125
"visiting professor"	0.0700112
designer	0.0696624
critic	0.0693993
diver	0.06903
"Wall Street analyst"	0.069009
academician	0.0688326
student	0.0687339
observer	0.0683983
curator	0.068149
regulator	0.0681478
horticulturist	0.0675746
nurse	0.0675394
banker	0.0674558
psychoanalyst	0.0672557
writer	0.0668569
Fishermen	0.066685
Hunter	0.0666302
pundit	0.0665746
firefighters	0.0665038
activist	0.0663889
internist	0.0658882
reviewer	0.065683
teacher	0.0655733
artist	0.0653425
criminologists	0.0651914
musicologist	0.065051
undergraduate	0.0644882
photographer	0.0644402
laboratory	0.0642412
instructor	0.064018
"medical student"	0.0639761
faculty	0.0638092
Industrialist	0.0632607
sculptor	0.0632074
pollster	0.0629823
inspector	0.0628421
commentator	0.0624376
neurosurgeon	0.0620928
counselor	0.0620632
scout	0.0620423
executive	0.0619511
lawyer	0.0617863
"government officials"	0.0617445
collector	0.0614506
diplomat	0.0613756
fellow	0.0613569
"market participant"	0.0612955
radiologist	0.0612761
cartoonist	0.061146
entrepreneur	0.0610337
pharmacist	0.060996
detective	0.0608706
feminist	0.0606568
colleague	0.0605832
dermatologist	0.0604681
skeptic	0.0604043
musician	0.0603822
politician	0.0603375
staffer	0.0601469
chef	0.0601208
jurist	0.0600761
graduate	0.0600432
"political science"	0.0599216
developer	0.0597716
filmmakers	0.05959
supervisor	0.059005
institute	0.0589686
"health professional"	0.0589535
ophthalmologist	0.0588463
surveyor	0.058835
dentist	0.0584904
policy-makers	0.0583637
manager	0.0583258
preservationists	0.0582144
"investment banker"	0.0582019
angler	0.0581851
adviser	0.0581841
Explorer	0.0578369
urologist	0.0577902
winemaker	0.0577393
rescuer	0.0577304
strategist	0.0575778
"staff member"	0.0575651
painter	0.0575561
filmmaker	0.0574721
"venture capitalist"	0.0573525
criminologist	0.0573286
))
(biology (desc 27384.9) (sims
"computer science"	0.274439
physics	0.234727
physiology	0.228224
geology	0.22172
astronomy	0.219155
mathematics	0.219128
genetics	0.213214
Chemistry	0.210121
biochemistry	0.209486
anthropology	0.209064
psychology	0.197865
sociology	0.190415
engineering	0.189727
linguistics	0.189167
neuroscience	0.183112
"electrical engineering"	0.181682
pharmacology	0.181095
zoology	0.179744
"molecular biology"	0.179194
"political science"	0.178911
economics	0.178348
"life science"	0.171536
science	0.16436
"mechanical engineering"	0.164264
"chemical engineering"	0.161567
meteorology	0.159151
geography	0.15905
bioengineering	0.156217
biotechnology	0.154461
"social science"	0.153416
"earth science"	0.152343
"environmental science"	0.150421
neurobiology	0.14861
ecology	0.147817
Botany	0.14718
microbiology	0.146181
"information science"	0.146058
"nuclear physics"	0.143488
oceanography	0.143018
pathology	0.142818
"medical science"	0.139639
math	0.139091
psychiatry	0.13828
Immunology	0.132733
Anatomy	0.131828
epidemiology	0.12785
"civil engineering"	0.127149
astrophysics	0.126342
medicine	0.126221
"biological science"	0.125682
"comparative literature"	0.125516
civics	0.124245
"physical education"	0.123897
hydrology	0.123026
"natural science"	0.122093
"social work"	0.121673
theology	0.121622
neurology	0.11951
biophysics	0.118689
archaeology	0.117217
literature	0.116381
Pediatrics	0.114757
philosophy	0.114271
algebra	0.114077
paleontology	0.112678
Microelectronics	0.110289
"liberal arts"	0.109714
metallurgy	0.105629
archeology	0.105153
nursing	0.10503
nutrition	0.104594
geophysics	0.103951
Journalism	0.102655
ophthalmology	0.102005
"urban planning"	0.101566
criminology	0.101463
"fine arts"	0.100386
automation	0.100384
calculus	0.0995002
architecture	0.0992653
dermatology	0.0987067
agronomy	0.0958282
seismology	0.0956575
oncology	0.0951878
genomics	0.0938164
"information technology"	0.0931082
dentistry	0.0927346
computing	0.0925495
aeronautics	0.0904526
"elementary education"	0.090299
English	0.0899073
"veterinary medicine"	0.0897022
radiology	0.0889941
"genetic engineering"	0.0889324
education	0.0883837
conservation	0.0880437
agriculture	0.0873962
endocrinology	0.0867928
history	0.0867174
gynecology	0.0864278
electronics	0.0863934
cosmology	0.0861406
religion	0.0852771
technology	0.0844364
evolution	0.0843892
"artificial intelligence"	0.0843103
aviation	0.083638
telecommunication	0.083487
health	0.0829397
ethic	0.0818274
"internal medicine"	0.0808417
demography	0.0804817
art	0.0802487
"preventive medicine"	0.0799214
"special education"	0.079319
research	0.0792379
machine-building	0.0786184
Toxicology	0.0783903
forestry	0.0778684
finance	0.0778584
horticulture	0.0773328
communication	0.077112
robotics	0.0770754
management	0.0763172
culture	0.0757017
"information system"	0.0755359
"chemical industry"	0.0743599
"particle physics"	0.0737267
geriatrics	0.073205
biologist	0.0731244
aerospace	0.0729059
theory	0.0724442
"computer technology"	0.0718972
pharmaceutical	0.0711492
Urology	0.0710962
professor	0.0708835
language	0.0706761
"high technology"	0.0698832
folklore	0.0698267
"higher education"	0.0696357
"fine art"	0.0694103
environment	0.068812
technique	0.0677866
"physical therapy"	0.0676414
breeding	0.066268
petrochemical	0.0653297
politics	0.0651447
humanity	0.0643609
teaching	0.0640181
dynamics	0.0637661
"computer programming"	0.0635924
"building material"	0.0633866
commerce	0.062854
undergraduate	0.0623492
geometry	0.0620885
marketing	0.0620469
"natural history"	0.0620012
conservancy	0.0619497
therapy	0.0617765
optic	0.0615108
divinity	0.0614923
exploration	0.0610702
entrepreneurship	0.061056
biodiversity	0.0610465
literacy	0.0605501
Cardiology	0.0604973
aerodynamics	0.0602806
prevention	0.0601868
"English class"	0.0601688
transplantation	0.0599196
Gene	0.0597074
Buddhism	0.0595785
accounting	0.0595132
behavior	0.0593624
farming	0.0589381
protection	0.0583458
"business school"	0.0582698
resource	0.0581952
machinery	0.0580142
"English language"	0.0576688
processing	0.0573231
nature	0.0571418
mining	0.0571068
writing	0.0570013
medical	0.0563602
energy	0.0560154
networking	0.0557821
composition	0.055457
"assistant professor"	0.0554157
photography	0.0553648
Etiquette	0.055259
genomes	0.0551765
metabolism	0.0548887
manufacturing	0.0548534
hygiene	0.0548211
"international law"	0.0546784
structure	0.0546564
"communications technology"	0.0546213
"first grade"	0.0544183
wildlife	0.0541801
))
(biomass (desc 2221.09) (sims
"wind power"	0.173812
"solar energy"	0.170556
biogas	0.163441
"solar power"	0.160327
hydro	0.137876
hydropower	0.129054
thermal	0.110173
"coal gas"	0.104373
"radio frequency"	0.0944488
bioengineering	0.0919094
petrochemical	0.0902965
IC	0.0884572
methane	0.0873944
"rare earth"	0.0871716
ethylene	0.0861708
SDH	0.0860894
aquaculture	0.0835534
"nuclear energy"	0.0821569
hydrocarbon	0.0812235
methanol	0.0811499
"heavy water"	0.0806065
"rolling stock"	0.0796988
"fuel cell"	0.0788862
"tax income"	0.0765045
LNG	0.0760235
bitumen	0.0755731
tritium	0.0745621
hemoglobin	0.0728499
spaceflight	0.0727561
hydrogen	0.072756
Filtration	0.0726971
carbon	0.072621
desalination	0.0721953
phosphorus	0.0719912
telomerase	0.0714801
aquatics	0.0704024
"nuclear power"	0.0698257
"garbage disposal"	0.0696173
"cane sugar"	0.0683162
condensate	0.068247
combustion	0.0678057
shipbuilding	0.0676617
"electric power"	0.0671742
"palm oil"	0.0665119
polyethylene	0.0664943
videophone	0.0664769
BLUETOOTH	0.0664611
plasma	0.0664585
POTASH	0.0648534
wastewater	0.0643635
nuclear-weapons	0.063927
"carbon dioxide"	0.0632846
"fish meal"	0.0628865
sugarcane	0.0626417
"growth hormone"	0.06242
fibre	0.0621224
"gas turbine"	0.0617435
conservancy	0.0610363
"price support"	0.0609975
filtering	0.060953
CFCs	0.0607436
"diesel engine"	0.0596988
coca	0.0585964
ingot	0.0585912
"animal husbandry"	0.0584776
plutonium	0.0580227
aluminium	0.057638
Microelectronics	0.0565513
wasting	0.0563662
"integrated circuit"	0.0561649
purification	0.0558859
"fossil fuel"	0.0557961
cellulose	0.0552942
semiconductor	0.0550157
barter	0.0548889
Internet@	0.0544748
"consumer credit"	0.0544659
"night vision"	0.0543011
newsprint	0.0542997
evaporation	0.0538997
CDMA	0.053752
phosphate	0.0536294
recycling	0.0536259
telemedicine	0.0532745
collagen	0.0531111
ethanol	0.0529986
ore	0.0529594
"rocket fuel"	0.0529291
Beehive	0.0529074
vermiculite	0.0523875
"hydrogen sulfide"	0.0519617
aerospace	0.0517836
incineration	0.0517663
Sulphur	0.0516657
fibroids	0.0516599
"building material"	0.051238
weight-loss	0.0510968
polypropylene	0.0510763
"solar cell"	0.0508967
GSP	0.0508873
"atomic energy"	0.050634
insulin	0.0504062
emulation	0.0502966
"pet food"	0.0502147
encephalopathy	0.0501802
RAMBUS	0.0500039
"labor resource"	0.0499697
sewerage	0.0498982
interferon	0.0498738
"sulfur dioxide"	0.0496523
husbandry	0.0495994
metallurgy	0.0495093
"mass transit"	0.049457
"shock therapy"	0.0494563
hGH	0.0491613
WebTV	0.0489552
Qi	0.0488891
"steam turbine"	0.048856
sludge	0.048774
iodine	0.0486855
"steel production"	0.0486204
decontamination	0.0484203
microchip	0.0483215
Chesapeake	0.0482468
"low temperature"	0.0482423
"fire control"	0.0481319
"sewage disposal"	0.0480377
"Up to @ inches"	0.048025
nitrogen	0.0479734
polymer	0.0479129
"home appliance"	0.0477848
adhesion	0.0476107
sewing	0.047608
miniaturization	0.0473639
intranet	0.0472403
"frozen food"	0.0471913
"Vision @@@@"	0.0471194
"flood control"	0.0468012
inkjet	0.0467051
Sewage	0.0465984
"polyvinyl chloride"	0.0464744
ephedra	0.0464299
"high tide"	0.0462985
"opium poppy"	0.0462381
"neutron bomb"	0.0461632
squall	0.0461038
enrichment	0.046098
refrigeration	0.0460917
"soil conservation"	0.0459792
Harcourt	0.0459721
automation	0.0458901
"rain shower"	0.0457593
sisal	0.045723
benzene	0.0455861
isotope	0.0451663
ADSL	0.0451591
mitochondria	0.0451008
"food grain"	0.0450691
hatchery	0.0450455
"Marie Christine"	0.0449153
antibody	0.0448758
propulsion	0.0444465
blowhard	0.0442798
"high sea"	0.0442229
"business line"	0.044176
"Windows Media Player"	0.043768
"lubricating oil"	0.0437445
"ocean current"	0.043692
precipitation	0.0435788
"iron ore"	0.0435324
mucus	0.0435069
seagull	0.0434159
lysine	0.0433578
"California wine"	0.0432578
dyslexia	0.043213
"sugar beet"	0.0429884
synergy	0.0429632
"fish fillet"	0.0429233
dopamine	0.042878
Encryption	0.0426917
"printing press"	0.0426327
LDL	0.0425991
Motorsports	0.0425528
"artificial intelligence"	0.0425352
"compact car"	0.042458
jewellery	0.0424561
"wireless telephone"	0.0424069
LPG	0.0424017
NTR	0.042366
munition	0.042339
"black tea"	0.0423329
hailstone	0.0423152
ragweed	0.0422719
K-@@	0.0422564
Seawater	0.0422557
"atmospheric condition"	0.042244
olestra	0.0422344
refining	0.042076
healthcare	0.0420735
remediation	0.0420665
))
(biophysics (desc 1366.28) (sims
pharmacology	0.222053
biochemistry	0.202152
microbiology	0.185097
Immunology	0.182643
physiology	0.153038
"comparative literature"	0.152813
"chemical engineering"	0.151014
neuroscience	0.149269
"molecular biology"	0.148895
epidemiology	0.144234
pathology	0.138723
gynecology	0.13376
Pediatrics	0.127896
"preventive medicine"	0.126319
"political science"	0.123348
"bird watcher"	0.121912
biology	0.118689
psychiatry	0.118502
zoology	0.116237
Cardiology	0.115636
Toxicology	0.109343
"mechanical engineering"	0.108533
"electrical engineering"	0.105761
"computer science"	0.0995473
sociology	0.0988328
Urology	0.0987926
genetics	0.0972589
neurobiology	0.0968959
"nuclear physics"	0.0919811
"civil engineering"	0.0919528
anthropology	0.0917646
"environmental science"	0.0899278
oncology	0.088488
endocrinology	0.0884862
"internal medicine"	0.0856169
dermatology	0.0853282
astronomy	0.0835274
meteorology	0.0817545
linguistics	0.0814105
"physical education"	0.0777973
ethicist	0.0777169
microbiologist	0.0773995
"medical science"	0.0724974
neurology	0.0716833
paleontology	0.0708152
geneticist	0.0671051
oncologist	0.0661741
nursing	0.0628523
"physical therapy"	0.0621832
"Chen Ziying"	0.0611005
epidemiologist	0.0594154
toxicologist	0.0590183
"political economy"	0.0574102
criminology	0.0573934
geriatrics	0.0563354
urologist	0.0561384
"information science"	0.0553486
archeology	0.0546555
biochemist	0.0541298
"social work"	0.0512022
archaeology	0.0500759
radiology	0.0489945
diode	0.0482524
automaton	0.0477371
ophthalmology	0.0475503
co-editor	0.0466774
"veterinary medicine"	0.0464107
"elementary education"	0.0458788
geographer	0.0451001
Gastroenterologist	0.0442664
jurisprudence	0.0434871
immunologist	0.0430509
agronomy	0.0430209
astrophysics	0.0427501
"aerospace engineer"	0.0420437
criminologist	0.0418322
dentistry	0.041823
"urban planning"	0.041477
gallbladder	0.0412934
Botany	0.0411665
oceanography	0.0410631
))
(biopsy (desc 8087.85) (sims
MRI	0.17758
scan	0.163348
x-ray	0.153691
electrocardiogram	0.148012
"blood test"	0.14529
"magnetic resonance imaging"	0.131519
autopsy	0.119282
C-section	0.110529
examination	0.102226
ultrasound	0.100746
mammograms	0.0989457
transplant	0.0981661
surgery	0.0966359
Exam	0.0956395
angioplasty	0.095621
hospitalization	0.0953332
chemotherapy	0.0953117
transplantation	0.0940299
"medical examination"	0.0917339
"medical exam"	0.0900061
"cancer death"	0.0880305
"surgical procedure"	0.087947
checkup	0.0877039
mammogram	0.0875635
Caesarean	0.086695
tumor	0.0853792
polygraph	0.0833736
mastectomy	0.0830546
inflammation	0.0823617
removal	0.0792708
EKG	0.075909
screening	0.0753535
therapy	0.0743349
testing	0.073365
regeneration	0.0729817
tissue	0.0723967
augmentation	0.0723554
liposuction	0.0714924
sample	0.070875
smear	0.0697986
dialysis	0.0693002
"blood transfusion"	0.0686644
"face lift"	0.0677937
transfusion	0.0672112
vasectomy	0.0666265
implant	0.0653199
cyst	0.0651659
"health check"	0.0641376
audit	0.0631712
stimulation	0.0630434
"medical record"	0.0629988
dissection	0.0624941
evaluation	0.0622534
"background check"	0.0615114
diagnosis	0.0612163
"lymph node"	0.0611678
Tankan	0.0607893
spacewalks	0.0599666
"test data"	0.0599346
lesion	0.0597017
analyses	0.0592384
self-examination	0.059191
amputation	0.0585363
sterilization	0.0585169
radiotherapy	0.0584756
appraisal	0.0577387
antigen	0.0572501
radiation	0.0570569
"plastic surgery"	0.056378
"physical therapy"	0.056002
"space walk"	0.0553794
measurement	0.0548828
vaccination	0.0547966
abnormality	0.0546459
injection	0.0544817
cleaning	0.054228
acupuncture	0.0541217
incision	0.0540182
infection	0.0532497
lump	0.0531794
facelift	0.0531773
physicals	0.0528234
prescription	0.0527488
LASIK	0.0521895
"medical checkup"	0.0518195
debriefing	0.0516797
circumcision	0.0515731
documentation	0.0509
"refresher course"	0.0504417
exhumation	0.0502173
nodule	0.0501525
feeding	0.049659
enlargement	0.0494933
"caesarean section"	0.0494212
postmortem	0.0491276
stents	0.0486441
real-time	0.048559
"cancer cell"	0.0484323
"Gallup Poll"	0.0484031
mammography	0.0479677
hardening	0.0477012
detection	0.0473208
CT	0.0472957
medication	0.0472034
mutation	0.0468791
resuscitation	0.0461649
spraying	0.0459645
"head count"	0.0448037
Chemo	0.0447053
abscess	0.0446769
sampling	0.0446288
psychotherapy	0.0445621
graft	0.0445586
"oral sex"	0.0445228
drilling	0.044458
shrinkage	0.044259
census	0.0441016
fertilization	0.0440112
computation	0.0438464
stapler	0.04353
CPR	0.0434006
downtime	0.0433247
Herceptin	0.0433068
imaging	0.0432596
"police investigation"	0.0432169
ovary	0.0431607
"cosmetic surgery"	0.0431468
tranquilizer	0.0430187
enlistee	0.0430074
"safety feature"	0.0429482
"point system"	0.0429398
"medical report"	0.0429122
detoxification	0.0428649
acne	0.042746
half-year	0.0426139
"hospital care"	0.0425331
"Field Poll"	0.0424078
"medical check-up"	0.0422498
malfunction	0.0421437
"medical care"	0.041938
reconfiguration	0.0419309
simulation	0.0418995
polling	0.041898
"margin call"	0.0418937
typing	0.0418926
"fire drill"	0.0415317
"Orlando Mercado"	0.0414992
taps	0.0414468
specimen	0.041315
excavation	0.0412882
ailment	0.0412459
anesthesia	0.041231
bladder	0.0411843
Inoculation	0.0406419
swelling	0.0406272
fact-finding	0.0406178
verification	0.0405358
"detective work"	0.0403315
institutionalization	0.0403262
urine	0.0402509
surveillance	0.0401771
"dental care"	0.0401482
uterus	0.0401342
paperwork	0.040121
))
(BIOS (desc 6597.16) (sims
"Mac OS"	0.0907834
configuration	0.078876
motherboard	0.0784407
MS-DOS	0.0736961
"Windows @@"	0.0730266
"hard disk"	0.069667
GPS	0.0675073
motherboards	0.0654478
microprocessor	0.063808
"Windows CE"	0.0628833
rom	0.0608654
Pentium	0.0608062
modem	0.0602961
"Pentium III"	0.0599175
"Windows @.@"	0.0596063
horoscope	0.0587055
avionics	0.0582388
CPU	0.0580209
thermostat	0.0577903
browser	0.0573553
"computer code"	0.0573384
Unix	0.0565951
biography	0.0562093
RealPlayer	0.0561987
"Windows @@@@"	0.0560243
"production equipment"	0.0558745
shareware	0.0552542
"mainframe computer"	0.0552099
processor	0.0550758
hardware	0.0548327
microchip	0.0548284
Celeron	0.0541628
audio	0.0531625
desktop	0.0526893
V-chip	0.0526774
"operating system"	0.0524474
"table of contents"	0.052318
"computer hardware"	0.0519519
"shock absorber"	0.0518201
info	0.0508804
gyro	0.0505755
"Pentium II"	0.0499497
workstation	0.0498155
"telephone system"	0.0494068
directory	0.0493135
spreadsheet	0.0491927
calculator	0.0486987
playback	0.0486984
"computer program"	0.0482878
synchronization	0.0481585
firewall	0.0481422
adapter	0.048074
"safety feature"	0.0479702
server	0.0479168
glossary	0.0477885
"Millennium Bug"	0.0477048
Bio	0.0471715
dram	0.0471049
"communication system"	0.0470067
"disk drive"	0.046505
"phone book"	0.0464825
"sound system"	0.0464281
"memory chip"	0.046407
OS/@	0.0463707
taskbar	0.0460067
DOS	0.0460009
Athlon	0.0459743
"line of products"	0.0458821
"Windows NT"	0.0457925
SETI	0.0457714
diskette	0.0453676
mainframe	0.045228
gadget	0.0451175
thesaurus	0.0448055
font	0.0447804
"Office @@@@"	0.044473
Encryption	0.0442881
"heating system"	0.0442774
"control system"	0.0441207
PalmPilot	0.04405
summary	0.0440436
"Microsoft Windows"	0.0439542
cache	0.043896
IC	0.0436124
printer	0.043529
plumbing	0.0435006
ECNs	0.0433255
sensor	0.043263
MP@	0.0432234
Linux	0.0431747
saver	0.0431652
Macintosh	0.0431129
scanner	0.0430749
"credit report"	0.0429034
"Year @@@@"	0.0428613
"computer equipment"	0.0428529
CDMA	0.0428508
bookmark	0.0427715
transistor	0.0426091
"information system"	0.0423922
"control panel"	0.0423143
circuitry	0.0423099
"speaker system"	0.0422459
imaging	0.0421064
stats	0.0420971
mem	0.0420849
PlayStation	0.0420753
"circuit board"	0.0418849
graphics	0.0416919
"security system"	0.0416878
"weather forecast"	0.0416407
afterburner	0.0416012
dictation	0.0413714
K@	0.0413657
peripheral	0.0413402
acrobat	0.0412351
"software system"	0.0412127
olestra	0.040955
multimedia	0.0407336
documentation	0.0406692
"computer network"	0.0406459
manual	0.0404722
p@@	0.0404637
decoder	0.0403282
converter	0.0403278
videophone	0.0402114
affability	0.040041
"Social Security number"	0.0400187
"digestive system"	0.0400081
))
(biosphere (desc 1357.98) (sims
FOREX	0.10431
Wetland	0.0854782
"fiber optic cable"	0.0726824
"city block"	0.0704429
bauxite	0.0694389
corpus	0.0625215
rainforest	0.0610236
"tropical rain forest"	0.0607428
"labor pool"	0.0605681
zeitgeist	0.0598887
"ping-pong ball"	0.056713
"rare earth"	0.0566185
"Three key"	0.0564415
oneness	0.0549284
vertebrate	0.0542127
"Lake Ontario"	0.0536554
magpie	0.0522505
"family unit"	0.0517054
"coral reef"	0.0514833
"silver dollar"	0.0506773
McCloud	0.05002
dumps	0.0499447
"treasure house"	0.0499295
"safety belt"	0.0498597
USSR	0.049767
"ground water"	0.0493658
X-@@	0.0492531
Dems	0.0492464
"British Isles"	0.0489956
"another six"	0.0485047
hippocampus	0.0474733
"drilling rig"	0.0467522
"Tore Andre Flo"	0.0466207
microorganism	0.0460645
"woman's body"	0.045778
headwaters	0.0455978
cherub	0.0444733
typeface	0.0443247
bio-diversity	0.0434482
viaduct	0.0429489
"tax base"	0.0426977
Wordsworth	0.0424841
"telephone exchange"	0.0418831
"circulatory system"	0.0417799
"Cabernet Sauvignon"	0.041779
CTV	0.0417562
groundwater	0.0412698
"three schools"	0.0412341
"Corporate America"	0.0411406
"human race"	0.0410963
"nooks and crannies"	0.0410467
methane	0.0409464
Lumbini	0.0407633
"blood type"	0.0404176
"vital organ"	0.0403843
cropland	0.0400819
"four key"	0.0400437
))
(biotech (desc 10378.3) (sims
biotechnology	0.201436
Telecoms	0.120592
bioengineering	0.110381
dot.com	0.110138
"high technology"	0.108875
Microelectronics	0.107253
aerospace	0.103875
"small cap"	0.0998031
"growth stock"	0.095191
telecommunication	0.0926599
"venture capital"	0.0914711
agribusiness	0.0908232
Telecom	0.0905131
pharmaceutical	0.0902371
"Silicon Alley"	0.0900138
"consumer product"	0.0889666
tech	0.0884586
VC	0.0881382
genomics	0.0875919
"information technology"	0.087394
networking	0.0869169
"real estate"	0.083386
electronics	0.082042
"life science"	0.080115
"consumer electronics"	0.0800996
banking	0.0791854
retailing	0.0790255
semiconductor	0.078866
"specialty chemical"	0.0761183
petrochemical	0.0754871
manufacturing	0.0754015
B@B	0.0746669
retail	0.0740136
aviation	0.0734765
"computer hardware"	0.0725505
mining	0.0721833
engineering	0.071875
multimedia	0.0710517
REIT	0.0706951
startup	0.0703901
"health care"	0.0686103
"chemical industry"	0.0675893
publishing	0.0675295
"computer industry"	0.0668256
dot-com	0.065882
diagnostics	0.0657061
state-owned	0.0649117
warehousing	0.0642176
"electric power"	0.0640072
Entertainment	0.0638221
petroleum	0.0636306
processing	0.0632494
"mutual fund"	0.0632326
high-tech	0.0632174
aquaculture	0.0618357
e-commerce	0.0611396
e-business	0.0608815
"oil industry"	0.0606341
"Silicon Valley"	0.0605617
brokerage	0.0605209
metallurgy	0.0605072
"communications equipment"	0.0603071
auto	0.0601062
"South San Francisco"	0.0596704
"blue chip"	0.0596639
small-business	0.0595297
pan-European	0.0593791
dairy	0.059339
machine-building	0.0593184
cosmetic	0.0591222
"genetic engineering"	0.0590206
"computer technology"	0.0590135
utility	0.058983
"data communication"	0.0589678
tobacco	0.0585706
broadcasting	0.0585575
business-to-business	0.0583075
healthcare	0.0582454
shipbuilding	0.0581817
aeronautics	0.0578319
"investment banking"	0.0577064
"municipal bond"	0.0573463
Trucking	0.0573161
insurance	0.0571386
computing	0.0570987
"nuclear energy"	0.0570096
"consumer goods"	0.0566515
"building material"	0.0566286
Gaming	0.0564849
commerce	0.0561225
forestry	0.0559493
"penny stock"	0.0559371
weight-loss	0.0559095
consultancy	0.0546288
reinsurance	0.0545722
Delphi	0.0540033
"high quality"	0.053837
"closed-end fund"	0.0537983
"equity fund"	0.0529318
Sunnyvale	0.0528917
broadband	0.0528833
"Wall Street"	0.0525896
"life insurance"	0.0524475
"computer graphics"	0.052233
"communications service"	0.0521137
MidCap	0.0520969
midsize	0.0519124
Geron	0.0519004
"cable television"	0.0517514
tourism	0.0517167
"bond fund"	0.051686
IPO	0.0515893
CMGI	0.0515457
"convertible bond"	0.0515333
TCM	0.051528
agriculture	0.0514846
"chain store"	0.0513674
"investment trust"	0.0512694
"higher education"	0.0511989
aquatics	0.0511824
equity	0.0511478
automobile	0.050734
Genentech	0.0506311
genetics	0.0502828
hemp	0.0502757
"leveraged buyout"	0.0502114
shipping	0.050204
beverage	0.0496743
"Vanguard Index @@@"	0.0493842
transportation	0.0490967
"household appliance"	0.0490064
coca	0.0489019
refining	0.0485458
"junk bond"	0.0484888
"Bay Area"	0.0483942
oilseed	0.0482503
"mail order"	0.048223
"medical instrument"	0.0480811
"alternative medicine"	0.0478917
Amgen	0.0478234
"artificial intelligence"	0.0477827
Genzyme	0.0477037
"low quality"	0.0475113
robotics	0.047343
"oil palm"	0.0472821
Lotus	0.0469095
"cutting edge"	0.0464241
"New Economy"	0.0463476
horticulture	0.0462929
"Learning Co."	0.0459767
optic	0.0458722
"information service"	0.0456203
"South Korean"	0.0455045
"California wine"	0.0454199
"medical science"	0.0452687
"home appliance"	0.0450759
"San Mateo"	0.0450346
brewery	0.0450211
gambling	0.0450191
"finance company"	0.0449495
EMC	0.0447989
wireless	0.0447473
"fiber optics"	0.0447089
hardware	0.0444087
ISP	0.0442086
"household product"	0.0441456
"drug company"	0.0440306
footwear	0.0438389
"animal husbandry"	0.0436275
"steel company"	0.0435391
"cellular telephone"	0.0434029
paddy	0.0433229
"health food"	0.0432377
"space program"	0.0432216
"precious metal"	0.043012
microchip	0.0429651
"gas company"	0.0429359
"State Street"	0.0429244
forwarding	0.0428073
automation	0.0427648
confectionery	0.0426083
ISPs	0.0423474
fishery	0.0422821
"bond trading"	0.0422662
telemarketing	0.0421883
annuity	0.0420168
"skin care"	0.0418563
"public utility"	0.0416387
"film industry"	0.0416095
"video game"	0.0415756
"personal computer"	0.0414863
"retirement plan"	0.0414828
"machine tool"	0.041442
biology	0.0414128
breeding	0.0413701
"data processing"	0.0412925
foundry	0.0411135
"venture capitalist"	0.0408931
"HBO &AMP; Co."	0.0407844
imaging	0.0407826
))
(biotechnology (desc 16759.5) (sims
bioengineering	0.273317
Microelectronics	0.212132
"genetic engineering"	0.205793
biotech	0.201436
"life science"	0.200807
"high technology"	0.192031
"information technology"	0.181134
pharmaceutical	0.173184
telecommunication	0.170474
genomics	0.165694
metallurgy	0.164559
"chemical industry"	0.158487
engineering	0.158247
biology	0.154461
machine-building	0.14854
petrochemical	0.145984
electronics	0.145253
"computer technology"	0.145116
automation	0.14393
aerospace	0.142547
"information science"	0.140952
"medical science"	0.139723
genetics	0.135385
technology	0.132178
agriculture	0.131815
computing	0.128016
"computer science"	0.126194
"building material"	0.126015
"molecular biology"	0.124446
manufacturing	0.123144
aviation	0.121893
networking	0.121885
"nuclear energy"	0.120776
shipbuilding	0.119662
processing	0.118906
high-tech	0.118629
medicine	0.116023
"artificial intelligence"	0.115109
mining	0.114497
"communications technology"	0.11449
multimedia	0.11333
forestry	0.112076
aquaculture	0.111688
"animal husbandry"	0.111611
agronomy	0.111501
science	0.111486
commerce	0.110462
retailing	0.109559
robotics	0.108655
tourism	0.108609
petroleum	0.107246
e-commerce	0.107164
banking	0.10671
semiconductor	0.106311
machinery	0.105686
agribusiness	0.10186
"consumer electronics"	0.100004
farming	0.0997203
communication	0.0991217
Telecoms	0.0981149
"real estate"	0.0975174
meteorology	0.0968438
industry	0.0966963
fishery	0.0965946
textile	0.0965326
"solar energy"	0.0964215
energy	0.0956004
breeding	0.094209
aeronautics	0.0935995
transportation	0.0932854
Immunology	0.0920001
chemical	0.0918222
ecology	0.0912893
optic	0.0908953
conservation	0.0907104
"health care"	0.0903696
"family planning"	0.0902702
research	0.0900152
finance	0.0895369
e-business	0.0891227
"earth science"	0.0885398
telephony	0.0878896
"household appliance"	0.0875035
"social science"	0.0872532
"specialty chemical"	0.0868997
imaging	0.0868392
Chemistry	0.086603
education	0.0862711
"computer industry"	0.0859962
Telecom	0.0858865
"higher education"	0.0857225
refining	0.0854368
geology	0.0851111
physics	0.084881
"fiber optics"	0.0847794
"computer graphics"	0.0846458
astronomy	0.0845675
"home appliance"	0.0845065
"atomic energy"	0.0843629
"computer hardware"	0.0838808
"biological science"	0.0832247
neuroscience	0.0827515
nanotechnology	0.0827442
conservancy	0.0824183
"electronics industry"	0.082376
publishing	0.0821081
"medical instrument"	0.0819641
microbiology	0.0819285
"information service"	0.0815616
"information system"	0.0814698
innovation	0.0811374
broadcasting	0.0810279
nutrition	0.0807404
"machine tool"	0.0806915
oceanography	0.0804525
software	0.0803933
automobile	0.0799146
informatics	0.0796662
infrastructure	0.0793599
"nuclear power"	0.0793037
"electrical engineering"	0.0791254
warehousing	0.0790685
irrigation	0.0789197
mathematics	0.078892
healthcare	0.0785928
transport	0.0783875
therapy	0.0783679
appliance	0.0783607
mineral	0.0783422
"communications equipment"	0.0780365
astrophysics	0.077945
"arms control"	0.0779241
construction	0.0774513
technique	0.0773447
foodstuff	0.0772293
pharmacology	0.0767712
resource	0.0758281
exploration	0.0757085
sector	0.0753627
"nuclear physics"	0.0753371
industrialization	0.0752032
biochemistry	0.0751868
horticulture	0.0745511
husbandry	0.0743302
"natural resource"	0.0743095
health	0.0741979
material	0.0741416
neurobiology	0.0741182
"electric power"	0.0738666
"data communication"	0.0736742
"environmental science"	0.0731653
"data processing"	0.0728867
protection	0.072785
globalization	0.0724408
packaging	0.0722584
"food product"	0.0721908
pesticide	0.0720144
environment	0.0716566
"wind power"	0.0715539
medical	0.0714488
"consumer goods"	0.0712856
shipping	0.0708083
management	0.0705074
economics	0.0704645
agro-technology	0.0703956
"electronic equipment"	0.0703947
equipment	0.0701993
insurance	0.0701099
aquiculture	0.0697098
ceramic	0.0693545
"veterinary medicine"	0.0692372
"oil industry"	0.0684648
telemedicine	0.0683961
diagnostics	0.0682799
know-how	0.0682297
geophysics	0.0681558
cosmetic	0.0681111
"Multimedia Super Corridor"	0.0679834
derivative	0.0678474
utilization	0.0675864
auto	0.0672499
"consumer product"	0.0671853
marketing	0.067176
CDMA	0.0671443
TCM	0.0671251
Gaming	0.0670192
retail	0.0669247
epidemiology	0.066797
"scientific method"	0.0667524
tobacco	0.066746
fertilizer	0.0666719
"computer equipment"	0.0656108
prevention	0.0656065
navigation	0.0650369
apparel	0.0646075
physiology	0.0644657
"venture capital"	0.0644444
cultivation	0.0642533
Entertainment	0.0641452
catering	0.0638456
))
(bipartisanship (desc 7041.7) (sims
comity	0.188258
civility	0.117143
decorum	0.108111
sportsmanship	0.107326
unity	0.10669
collegiality	0.101697
decency	0.101184
statesmanship	0.0983998
Openness	0.0971043
tolerance	0.0960917
solidarity	0.0954424
neutrality	0.0918271
moderation	0.0910044
politeness	0.0880055
"good will"	0.087273
conciliation	0.0847848
unanimity	0.0833715
fairness	0.0829559
pragmatism	0.0817205
calmness	0.0810051
compassion	0.0808742
Amity	0.0793388
reconciliation	0.0786933
harmony	0.077037
modesty	0.0769646
forgiveness	0.0764061
normality	0.075224
patriotism	0.074731
diversity	0.0740056
equality	0.0730731
conservatism	0.0724801
bonhomie	0.072365
dignity	0.0719661
partisanship	0.0715704
continuity	0.0711286
activism	0.0710927
teamwork	0.0704436
normalcy	0.0702714
consensus	0.0702378
neighborliness	0.0698352
tranquility	0.0694947
invincibility	0.0690105
humility	0.0680362
transparency	0.0676986
healing	0.0676432
honesty	0.0674571
pluralism	0.0674338
cordiality	0.0671301
toughness	0.0670889
rapprochement	0.0662386
excellence	0.0660324
"parliamentary democracy"	0.0657646
gentility	0.0655695
loyalty	0.0651271
restraint	0.065095
professionalism	0.0650148
democracy	0.0649684
prudence	0.0643344
intimacy	0.0639622
reasonableness	0.063714
self-reliance	0.0634685
optimism	0.0633619
graciousness	0.0628283
probity	0.062615
integrity	0.0625561
generosity	0.0622596
flexibility	0.0620824
impartiality	0.0618364
truce	0.0615335
greatness	0.0613368
parity	0.060935
reciprocity	0.0604448
respectability	0.0603751
nationalism	0.0603692
levity	0.0601985
"equal opportunity"	0.0595839
inclusiveness	0.0592276
derring-do	0.0591577
goodwill	0.0590625
courage	0.0589538
leniency	0.0588565
selflessness	0.0587859
austerity	0.058659
candor	0.0582723
"stay of execution"	0.0581514
competence	0.0579859
cease-fire	0.0578853
realism	0.0578486
camaraderie	0.0578213
sincerity	0.0577037
"free trade"	0.0574521
togetherness	0.0573149
friendliness	0.056973
gridlock	0.0563482
"home rule"	0.0562034
objectivity	0.0560576
informality	0.0559792
coexistence	0.0557197
cohesion	0.0555029
"rule of law"	0.0551727
volunteerism	0.0544299
"civil disobedience"	0.0542993
nonviolence	0.0541955
"free enterprise"	0.0541479
serenity	0.0538579
ceasefire	0.0537773
accountability	0.0537243
frugality	0.0535925
enlightenment	0.0535058
democratization	0.0533117
tranquillity	0.0532284
dialog	0.053158
supremacy	0.0530635
hospitality	0.0528082
sanity	0.0527163
belt-tightening	0.0526539
secrecy	0.052524
seniority	0.0523581
frankness	0.0522493
self-confidence	0.0521083
heroism	0.0520927
detente	0.0520886
confidentiality	0.0518101
simplicity	0.051741
brotherhood	0.0516599
bravery	0.0516119
craftsmanship	0.0515372
dominance	0.0511741
"common sense"	0.0511426
consistency	0.0510617
introspection	0.051057
engagement	0.0509722
"Lahore Declaration"	0.0509157
Privacy	0.0507378
superiority	0.0506382
kindness	0.0504103
accomplishment	0.0503373
skittishness	0.0501728
governance	0.0500562
internationalism	0.0499938
"balance of power"	0.04988
preeminence	0.0498776
megamergers	0.0497941
contrition	0.0497703
purity	0.049666
profitability	0.049319
legitimacy	0.0492017
timelessness	0.0491618
individualism	0.0489609
renewal	0.0489569
postponement	0.0489147
mediocrity	0.0488816
prosperity	0.0486625
empowerment	0.048493
inevitability	0.0484455
rectitude	0.0484199
coordination	0.04835
perseverance	0.0482761
patience	0.0482379
urgency	0.0481986
morality	0.0481583
companionship	0.0480015
repentance	0.0479153
wholeness	0.0478145
nonchalance	0.0477877
self-restraint	0.0475215
equilibrium	0.0474243
deliberation	0.0473642
"investor confidence"	0.0473552
militarism	0.047193
de-escalation	0.0471799
resilience	0.046907
"mutual understanding"	0.0468886
boldness	0.0468439
"absolute majority"	0.0466039
righteousness	0.04643
spontaneity	0.0462769
deterrence	0.0462647
"hard work"	0.0462149
idealism	0.0461527
anti-Semitism	0.0460098
reversal	0.0460011
moratorium	0.0459698
inclusion	0.0459187
vigilance	0.045824
self-government	0.0457198
laxity	0.0454389
domesticity	0.0454141
representation	0.0454071
elegance	0.045377
redemption	0.0453651
diplomacy	0.0452979
clarity	0.045161
"economies of scale"	0.0451145
relaxation	0.0451137
competitiveness	0.0449904
tenacity	0.0449719
"customer service"	0.0449353
Cessation	0.0449136
"due process"	0.0448827
))
(biplane (desc 2175.21) (sims
Cessna	0.176148
glider	0.165013
"Cessna @@@"	0.154271
Learjet	0.133521
turboprop	0.130452
DC-@@	0.129844
DC-@	0.128217
AN-@@	0.121622
"Alaska Airlines Flight @@@"	0.121579
"Airbus A@@@"	0.119887
MiG-@@	0.114462
"space capsule"	0.107568
"Airbus @@@"	0.107325
"EgyptAir Flight @@@"	0.10424
"Swissair Flight @@@"	0.10372
Prowler	0.10357
MD-@@	0.0969034
Mig	0.0957982
"Air France Concorde"	0.0933009
USAir	0.093194
F-@@	0.0926142
C-@@	0.0908999
sleigh	0.0907079
"hot-air balloon"	0.0891441
jetliner	0.0882273
A@@@-@@@	0.0872771
osprey	0.0871454
blimp	0.0845539
"cabin cruiser"	0.084186
"Flight @@@@"	0.0804078
Mini-bus	0.0793621
sled	0.0792288
tomcat	0.0789888
warplane	0.0784998
"TWA Flight @@@"	0.0778859
"Lincoln Town Car"	0.0765613
"passenger ship"	0.0762665
F-@@s	0.0747489
airliner	0.0737531
"luxury liner"	0.0736577
"Flight @@@"	0.0736535
TU-@@@	0.0730874
Apache	0.0723209
MiGs	0.0721384
trolley	0.0711325
chopper	0.0708533
DC-@s	0.0707195
C-@@@	0.0703115
Mustang	0.0702831
Tram	0.0701006
F-@@@	0.0680836
catamaran	0.0677311
jeep	0.0676236
Concorde	0.0658236
Kite	0.0650142
submersible	0.0648175
"Indian Air Force"	0.0643093
"Ford Taurus"	0.0641072
"cable car"	0.0640865
"evening bag"	0.0639291
"jet plane"	0.0632636
snowmobile	0.0631249
Concordes	0.0629958
Ducati	0.0627983
minibus	0.0618857
interceptor	0.061845
MiG-@@s	0.0618019
A-@@@	0.0617868
"Royal Air Force"	0.0616687
"American plane"	0.0612585
"hot rod"	0.0610448
"Mercedes Benz"	0.0609774
"racing car"	0.0609632
X-@@	0.0604889
kamikaze	0.0603771
"landing craft"	0.0602485
chairlift	0.0599342
Stagecoach	0.0596376
lawnmower	0.0595586
"Pan Am Flight @@@"	0.0591084
Harley-Davidson	0.0588935
"Reno Air"	0.0588685
B-@@	0.0588599
outhouse	0.0588156
sloop	0.0586828
zeppelin	0.0580081
motorboat	0.057979
powerboat	0.0579358
gondola	0.0575311
EgyptAir	0.0566293
"sailing ship"	0.0566165
jeepney	0.0563438
Thunderbird	0.0563232
lean-to	0.0562265
merry-go-round	0.0559317
T-@@	0.0554606
"shuttle bus"	0.055458
Mercedes	0.0554337
"Pan Am"	0.0553138
"electric chair"	0.0551873
Bentley	0.0549407
"lawn mower"	0.0543758
Steamship	0.0543499
"fighter aircraft"	0.0543354
"Eiffel Tower"	0.0542318
TWA	0.0540668
gunship	0.0539771
minibuses	0.0539336
MS-DOS	0.0537974
F-@	0.0537423
Apaches	0.0536299
mini-buses	0.0534495
speedboat	0.053359
"transport ship"	0.0533125
"atomic bomb"	0.0530034
"French door"	0.0528164
Quay	0.0527164
motorbike	0.0524929
pontoon	0.0524667
cannonball	0.0523974
"beam of light"	0.0523527
"Delta @"	0.0520755
limousine	0.0520623
"white flag"	0.0519518
airship	0.0519237
ValuJet	0.0517946
"school bus"	0.0516982
"female body"	0.0516939
SU-@@	0.0516301
Porsche	0.0516038
locomotive	0.0513936
"sailing vessel"	0.0513815
tarpon	0.0511843
"fire truck"	0.0511562
"police lieutenant"	0.0510538
Tomahawk	0.0508775
tanker	0.0508061
coaster	0.0507162
"blue whale"	0.050713
"passenger train"	0.0504601
patrolman	0.0503215
"station wagon"	0.0500837
led	0.0499883
"race car"	0.049968
tricolor	0.0498761
"duffel bag"	0.0496789
B-@s	0.0495558
stallion	0.0495503
"manor house"	0.0494782
riverboat	0.0491789
Icebox	0.0490491
"pocket watch"	0.0489526
manicurist	0.0488916
duster	0.0487498
"torpedo boat"	0.0486489
planeload	0.0485997
vaudevillian	0.0485943
Camaro	0.0484409
"flight simulator"	0.0484275
ferryboat	0.048392
mini-van	0.0483637
Pony	0.0483411
chalet	0.0480967
"China Airlines"	0.0480589
"Kenya Airways"	0.0480553
"Gulf Air"	0.0479619
"Honda Civic"	0.0479295
Limo	0.0475527
autocracy	0.0475338
"flour mill"	0.0470051
"Lunar Prospector"	0.0468828
"express train"	0.0468777
B-@	0.0467614
racehorse	0.0466778
"commuter train"	0.0466482
sailboat	0.0466071
"Ferris wheel"	0.0464885
S-@@@	0.0464785
"Mac OS"	0.0462447
"Liberty Bell"	0.0460042
"ocean liner"	0.0459736
JAT	0.0458998
"nuclear-powered submarine"	0.0458923
Cruiser	0.045871
tricycle	0.0458656
"loud noise"	0.0457934
"attack submarine"	0.0456772
"patrol boat"	0.0455587
"blue angel"	0.0455281
tugboat	0.0454288
"explosive device"	0.0452707
"cocktail dress"	0.0451626
"freight train"	0.0451174
"summer house"	0.0451004
"pipe bomb"	0.0450882
"steam locomotive"	0.0450232
"sports car"	0.0449952
"Favorite Trick"	0.0448224
Amistad	0.0448081
bobsled	0.0444415
))
("bipolar disorder" (desc 1398.07) (sims
"manic depression"	0.360065
"anxiety disorder"	0.27589
schizophrenia	0.243536
epilepsy	0.180349
"mental disorder"	0.176781
sclerosis	0.176721
dementia	0.168123
Alcoholism	0.155991
autism	0.15415
Osteoporosis	0.152959
"personality disorder"	0.151482
"Parkinson's disease"	0.145571
"neurological disorder"	0.140908
hypertension	0.139463
Psychosis	0.138814
"memory loss"	0.136551
hyperactivity	0.129617
"mental illness"	0.127257
anemia	0.124344
"panic attack"	0.118199
insomnia	0.112276
"kidney disease"	0.110648
osteoarthritis	0.108255
bulimia	0.107608
"drug addiction"	0.107442
lupus	0.104998
dyslexia	0.104273
phobia	0.102198
"rheumatoid arthritis"	0.100638
diabetes	0.0979261
Parkinson's	0.0979118
Alzheimer	0.0968138
asthma	0.0958735
fibrillation	0.0958609
"high blood pressure"	0.0957686
"multiple sclerosis"	0.0942208
delusion	0.0935822
"writer's block"	0.0934203
retardation	0.0931365
migraine	0.0915483
anorexia	0.0904719
emphysema	0.0890162
apnea	0.0888982
"heart disease"	0.0882738
"eye disease"	0.0879716
ulcer	0.0874583
"heart condition"	0.0871067
myeloma	0.0860841
Obesity	0.0857532
"cystic fibrosis"	0.0830679
irritability	0.0822492
leukemia	0.082016
arthritis	0.0799552
"cardiovascular disease"	0.0798297
"back pain"	0.0787597
"substance abuse"	0.076542
"heat exhaustion"	0.0760072
dysfunction	0.0755095
"alcohol abuse"	0.0749331
arrhythmia	0.074424
allergy	0.0734066
impotence	0.0725877
"congestive heart failure"	0.0723603
frostbite	0.0721622
glaucoma	0.071122
narcolepsy	0.0707466
nausea	0.070225
"cerebral palsy"	0.0698221
"liver disease"	0.0678012
Burnout	0.066606
Meningitis	0.066441
"hay fever"	0.0663011
hemophilia	0.0650124
CJD	0.0642257
hallucination	0.0639991
lithium	0.0637249
bronchitis	0.062883
"brain tumor"	0.062797
cataract	0.0626357
infertility	0.0625249
encephalopathy	0.06249
malformation	0.0622479
degeneration	0.0616121
reflux	0.061257
self-loathing	0.0602104
life-threatening	0.0594305
als	0.0591819
stomachache	0.0589166
blindness	0.0587113
"hepatitis B"	0.0580991
miscarriage	0.0571968
hepatitis	0.0570826
herpes	0.0565607
moodiness	0.0565432
"skin rash"	0.0565335
Truancy	0.0561726
Lice	0.0561631
diarrhea	0.0559901
angina	0.0558121
drowsiness	0.0547737
"lung cancer"	0.0545873
gastroenteritis	0.0542072
amnesia	0.0536595
surfeit	0.0534288
"sweet tooth"	0.052413
influenza	0.0522887
inhalation	0.0521818
"skin cancer"	0.0518082
homelessness	0.0516106
self-doubt	0.0515916
"colon cancer"	0.0515634
hangover	0.0504303
lymphoma	0.0501976
shyness	0.0498946
"heroin addiction"	0.0496685
malady	0.0487672
jaundice	0.0487333
acne	0.048565
dehydration	0.0484867
diarrhoea	0.0484104
thyroid	0.0483131
"dust storm"	0.0480757
"respiratory disease"	0.0478839
hypothermia	0.0478028
"skin disease"	0.0477085
"heart failure"	0.0476324
abscess	0.0468242
delirium	0.0465666
affliction	0.0460931
"genetic disease"	0.0456909
suffocation	0.045321
dizziness	0.0450861
"upset stomach"	0.0446839
"Lyme disease"	0.0446669
overcapacity	0.0444799
urination	0.0440705
psychotherapy	0.0436588
ADHD	0.0435924
"tooth decay"	0.0434136
hyperinflation	0.0431779
palpitation	0.0425243
overexposure	0.0423228
"Thomas Youk"	0.0417265
Paxil	0.0411602
Hantavirus	0.0406898
Dysentery	0.040677
carcinoma	0.0404485
"work surface"	0.040334
falling-out	0.0401625
recurrence	0.0400239
))
(Birch (desc 5250.3) (sims
poplar	0.188893
Hemlock	0.186515
beech	0.185155
spruce	0.174562
Maple	0.16603
fir	0.160062
Oak	0.156566
Elm	0.143636
dogwood	0.129638
willow	0.121636
pine	0.12025
cottonwood	0.119182
"white pine"	0.117226
cypress	0.116006
"douglas fir"	0.105343
mahogany	0.103803
cedar	0.101702
Sycamore	0.0917054
Conifer	0.0916694
azalea	0.090077
hickory	0.0891691
eucalyptus	0.0822209
Juniper	0.0798486
hardwood	0.0780946
Burgess	0.0780794
Mesquite	0.0700032
"ponderosa pine"	0.068996
boxwood	0.0681108
evergreen	0.0672515
chestnut	0.0664808
Cherry	0.0661492
bamboo	0.0646804
gingko	0.0642302
Magnolia	0.063711
Seltzer	0.0633979
"live oak"	0.0615474
Mucha	0.0608332
Cleary	0.0606696
Jaffe	0.0604681
redwood	0.0598571
Feng	0.0597856
Ruehe	0.0596115
O'Connell	0.0591791
Knapp	0.0591252
Hahn	0.0587829
Mulberry	0.0587777
Meissner	0.0586033
sumac	0.0581061
Fiorina	0.0572748
Fernandes	0.0568515
walnut	0.0568364
shrubbery	0.0568241
shrub	0.0564548
JONAS	0.0562911
Aspen	0.0561677
Brundtland	0.055793
Jayakumar	0.0557621
Zuma	0.0557087
Donohue	0.0549731
Hickman	0.0548834
Hecht	0.0546459
Barlow	0.0544574
Strauss-Kahn	0.0542745
Molinari	0.0540901
Wasserstein	0.0534837
Sorensen	0.0534607
cactus	0.0533889
Markovic	0.0530587
Greenwald	0.0530195
Weiner	0.0530169
Shamshad	0.0529971
Okada	0.0528999
Malu	0.0524432
Goldin	0.052026
Menchu	0.0518584
Flockhart	0.0518548
Brazile	0.0513296
Tarawneh	0.0513247
Duffy	0.0506006
ginkgo	0.0502851
Carmichael	0.0497265
Kurtz	0.0495088
Weil	0.0493738
Rosenberg	0.0493658
mangrove	0.0493202
Healy	0.0491731
"Space Needle"	0.0490203
underbrush	0.0489458
undergrowth	0.0489178
Tharp	0.0489075
Orton	0.0486539
Barshefsky	0.0485358
"de Charette"	0.04829
Oaks	0.0481886
Zuckerman	0.0481178
Vogel	0.0480098
Dowd	0.0479181
Baum	0.0479107
Alatas	0.0477882
Ashrawi	0.0477289
Kern	0.0475292
Farber	0.0473948
DeFrantz	0.0472982
Jamison	0.0472043
Telluride	0.0471944
Singson	0.0471889
Shalala	0.0470631
McIntyre	0.0470039
Gauthier	0.0469586
Harman	0.0469538
Majko	0.0469516
Cline	0.0469216
Hartley	0.0467001
Alarcon	0.0466941
Hanna	0.0466825
Cummings	0.0466802
Farley	0.0465346
Epstein	0.0465259
Manuel	0.0463702
sapling	0.0462409
Lerner	0.0460883
McPherson	0.0460857
McFadden	0.046085
Grunwald	0.0460677
Farrell	0.0460551
Sheedy	0.0459372
Ciampi	0.0457827
Waxman	0.0457466
Viburnum	0.0455808
Mckee	0.0455305
Mowlam	0.0455153
Pierson	0.0454972
Jovanovic	0.045479
Greco	0.0454085
Lari	0.0452973
Eizenstat	0.045116
Woodard	0.0450724
rhododendron	0.0448954
Boyle	0.0448235
Ikimi	0.0447295
Ratner	0.0446912
Boueiz	0.0446807
Flynn	0.0446755
Shipley	0.0446571
Kingsley	0.044647
Tsang	0.04463
Liston	0.0445878
Rifkind	0.0445503
Maynard	0.0443004
Feldman	0.0442978
Swenson	0.0442878
Kurth	0.0442671
Gillespie	0.0442237
McCartney	0.0441773
Passarella	0.0441176
Plywood	0.0441117
pecan	0.0439909
Mortimer	0.0438728
Oliveira	0.0437957
Portnoy	0.0437889
Brenner	0.0437524
Hightower	0.0437376
Morley	0.0436901
Schmid	0.0436446
Rosenthal	0.0434388
Nasrin	0.0433147
krueger	0.0432665
Tuttle	0.0431849
Ackerman	0.0431537
Henley	0.0431447
Wolff	0.0430816
Blazevic	0.0430583
Patel	0.0429496
drake	0.042901
Lehane	0.0428964
Talebi	0.0428585
Scruggs	0.0428321
Hanley	0.0426851
Betts	0.0426028
Grossman	0.0425683
Krall	0.042548
Insulza	0.0425461
Ebersol	0.0424683
Seligman	0.0423874
LU	0.0422967
Blanton	0.0422544
Meyers	0.0422162
menorah	0.042144
Xiang	0.0421385
Ono	0.0421346
Bassett	0.0420903
Bisek	0.0420843
Suarez	0.0418931
Leung	0.0418435
Yastrzhembsky	0.0418126
Vasquez	0.0417755
Snowe	0.0417653
Brock	0.0416794
Bouchard	0.0416787
fern	0.0416752
))
(bird (desc 104808) (sims
animal	0.20256
insect	0.168503
deer	0.16803
fish	0.160813
mammal	0.154379
turtle	0.154036
specie	0.152698
monkey	0.14759
elephant	0.144211
pig	0.142653
wildlife	0.136686
snake	0.131526
CAT	0.128957
mosquito	0.127839
reptile	0.126864
dog	0.126809
rodent	0.12626
Dinosaur	0.124347
creature	0.122692
whale	0.122681
pigeon	0.122108
geese	0.120544
"sea turtle"	0.120466
rat	0.119701
cow	0.118539
lizard	0.116432
butterfly	0.11584
chicken	0.11444
rabbit	0.11429
owl	0.114091
frog	0.112888
bear	0.112151
"giant panda"	0.112001
parrot	0.111749
tiger	0.111412
human	0.111179
sheep	0.109423
crocodile	0.108587
duck	0.105733
"rare bird"	0.105052
mice	0.102463
Primate	0.102394
cattle	0.101685
crow	0.10128
horse	0.0983155
amphibian	0.0973074
Livestock	0.0967084
salamander	0.096011
chimpanzee	0.095818
panda	0.0945484
squirrel	0.0943665
tree	0.0939736
alligator	0.0913171
goat	0.0912244
salmon	0.0906632
fossil	0.0898529
bug	0.0893204
elk	0.0884363
people	0.0878097
antelope	0.0878006
dolphin	0.0877969
worm	0.0875442
tortoise	0.0874019
plant	0.0872639
"domestic animal"	0.0871583
child	0.0866484
poultry	0.0862009
beetle	0.0859531
egret	0.0858846
moose	0.0858265
bee	0.0856824
hummingbird	0.0854947
ant	0.0854611
eagle	0.0853529
ibis	0.0852697
moth	0.0852283
flower	0.0850899
rhinoceros	0.0850076
Crane	0.0839496
lion	0.0839006
beast	0.0837087
swan	0.0835425
"bald eagle"	0.0834628
spider	0.0832029
otter	0.0831795
pheasant	0.083045
ostrich	0.0829746
chimp	0.082652
kid	0.0826307
man	0.0824585
rhino	0.0817687
wolf	0.0816563
ape	0.0812305
shark	0.0812035
heron	0.0806793
sparrow	0.0806217
peacock	0.0803726
iguana	0.0798946
Pelican	0.0798704
baby	0.0796376
object	0.0793898
sturgeon	0.0790684
critters	0.0783414
pet	0.0777224
trout	0.0767258
raccoon	0.0766922
pest	0.0761746
woman	0.0761302
bison	0.0760126
predator	0.0759431
patient	0.0754828
lobster	0.074893
girl	0.073625
bat	0.0734756
fowl	0.0731537
"human being"	0.0727448
gorilla	0.0722134
organism	0.0718303
crab	0.0713345
quail	0.0712041
person	0.070978
hog	0.0708991
toad	0.0706445
meat	0.0706369
seal	0.0706283
egg	0.0706058
boy	0.0705796
"black bear"	0.0704078
camel	0.0701695
visitor	0.0696791
flora	0.0694422
specimen	0.0693283
snail	0.0692492
kangaroo	0.068814
tourist	0.0683686
virus	0.0681124
microbe	0.0679215
"Larry Bird"	0.0678907
victim	0.0678089
dragon	0.0677263
leopard	0.0675843
variety	0.0675042
cockroach	0.0672028
fruit	0.0668363
dove	0.0667121
chick	0.0658537
WASP	0.0655367
rooster	0.0652625
female	0.0652291
locust	0.0651981
character	0.0651721
vegetable	0.0651029
refugee	0.0650315
coyote	0.0648293
hen	0.0648142
infant	0.0646177
food	0.0645316
bacteria	0.0643815
car	0.0643548
tick	0.0639516
ecosystem	0.0637877
painting	0.0635514
passenger	0.0635445
guy	0.0634005
student	0.0633516
"young woman"	0.0633501
orchid	0.0633226
youngster	0.0630029
"young man"	0.0629705
shrimp	0.0628727
leaf	0.062619
family	0.0616796
Hunter	0.0616474
immigrant	0.0614398
body	0.0612065
eel	0.0611195
airplane	0.0610956
penguin	0.0609045
larvae	0.0607818
villager	0.0606615
artifact	0.0606511
population	0.0605697
resident	0.0605178
relic	0.0604139
goose	0.0603938
monster	0.0603915
habitat	0.0603445
rock	0.0601836
mother	0.0601564
type	0.0601252
them	0.0600818
youth	0.0600477
folk	0.0596963
doll	0.0595701
piece	0.0594589
weed	0.0594375
wine	0.0594227
beaver	0.0592742
individual	0.0592255
American	0.0591299
))
("bird of prey" (desc 1025.76) (sims
egret	0.0942127
piste	0.0880514
"miniature golf"	0.0830064
eight-week	0.0799492
tarantula	0.0786029
Pelican	0.0756741
serpent	0.0695673
ibis	0.0692837
celebs	0.0671097
"sea gull"	0.0665451
Vulture	0.0663939
bobsled	0.0662005
par-@@	0.0639651
leech	0.0635934
critters	0.0617485
one-mile	0.060511
"marine animal"	0.0600687
"sea turtle"	0.0598655
pinwheel	0.05884
"line drawing"	0.0577978
spider	0.0576374
"Pacific Palisades"	0.0573408
"west northwest"	0.0564999
reptile	0.0563704
"golden eagle"	0.0563012
"jigsaw puzzle"	0.055976
highflier	0.0556686
TCM	0.0556668
"Bengal tiger"	0.0545416
"blue whale"	0.0544881
"life form"	0.05412
seagull	0.0539492
"Happy Valley"	0.0539429
"business enterprise"	0.053757
Suzuka	0.0536885
turbot	0.053661
band-aid	0.0532974
crock	0.0532703
"house party"	0.0531642
SAL	0.0529503
oceanside	0.0529206
rattlesnake	0.0529111
"adult education"	0.0526813
"public speaking"	0.0524398
four-week	0.0524177
sumac	0.052386
"Border collie"	0.0522541
fauna	0.0518627
ascot	0.0512457
five-week	0.0511444
fungi	0.0510104
"general knowledge"	0.0509845
six-week	0.0508441
seabird	0.0501242
"chain store"	0.0496312
led	0.0492919
"subatomic particle"	0.0482642
mega-mergers	0.0482155
Chautauqua	0.0480332
"business line"	0.048015
"extracurricular activity"	0.0476568
"animal skin"	0.0473877
tarpon	0.0472172
"black bear"	0.047181
lithograph	0.0470355
gargoyle	0.0470344
malignancy	0.0470325
rodent	0.0470269
tortoise	0.0469365
"sailing vessel"	0.0469252
hypotheses	0.0468766
"dairy cow"	0.0467103
peony	0.0462152
Triptych	0.0462043
fora	0.0460107
"gambling casino"	0.0459801
gnat	0.0458605
salamander	0.0458231
"mountain bike"	0.0455838
"pirate ship"	0.0452739
grasshopper	0.0449858
"Mickey mouse"	0.0449437
"Gorges Dam"	0.0448868
"radio telescope"	0.0448303
"Mark Tuinei"	0.0447453
seven-week	0.0447155
"mountain gorilla"	0.0445612
"flying saucer"	0.0445485
kangaroo	0.0444184
bloke	0.0444127
"theatrical production"	0.0444114
meatpackers	0.0444009
Starfish	0.0440899
"educational activity"	0.0440816
Pir	0.0440794
stallion	0.0438264
"business organization"	0.0436375
luge	0.0436341
carnivore	0.0433719
shenanigan	0.0433579
"sugar refinery"	0.0433288
"rare bird"	0.0431816
scorpion	0.0430332
iceberg	0.0430083
resellers	0.0429231
vertebrate	0.0428234
otter	0.0427738
"wall painting"	0.0425731
Sahalee	0.0425682
Pimlico	0.0424894
"red deer"	0.0424763
Bighorn	0.0424104
"rock climbing"	0.0423235
zingers	0.0422461
bodybuilding	0.042183
oxen	0.0421235
megamergers	0.0420236
buzzard	0.0420047
Blass	0.0419912
"trading card"	0.0418879
stork	0.0418872
"rainbow trout"	0.0418666
"Pleasant Valley"	0.0416498
"auto company"	0.0416183
timepiece	0.0414528
handhelds	0.0413123
"Hyatt Regency"	0.0411608
"jam session"	0.0410457
whopper	0.0409753
looker	0.0408389
"Cleveland Orchestra"	0.0408283
three-mile	0.0407725
inspectorate	0.0407507
sundial	0.0406908
"Steve DeBerg"	0.0406073
Silverstone	0.0404852
"safety feature"	0.0404543
gourd	0.0403954
civics	0.040376
"subject area"	0.0402083
"Grand National"	0.0401907
eateries	0.0401392
"sea horse"	0.0400054
))
("bird watcher" (desc 975.961) (sims
birder	0.139341
jogger	0.136625
horticulturist	0.126496
genealogist	0.121943
biophysics	0.121912
outdoorsman	0.118378
"rock climber"	0.114874
kayakers	0.114076
bird-watchers	0.109404
botanist	0.102927
naturalist	0.10115
"mountain climber"	0.100719
hiker	0.100375
equestrian	0.0987896
boater	0.0900598
"interior decorator"	0.0894744
dealmaker	0.0891371
angler	0.087961
woodworker	0.0855715
Sportsman	0.07752
beachgoers	0.0768274
"chess player"	0.0765975
ornithologist	0.0761352
canoeist	0.07606
folklorist	0.0759439
camper	0.0757666
snowboarder	0.0757009
bicyclist	0.0753345
conservationist	0.0750745
preservationist	0.0749071
"AIDS activist"	0.0724404
innkeeper	0.0711885
bikers	0.0706376
picnicker	0.0699101
duffer	0.0695068
snowmobilers	0.0692146
"stamp collector"	0.0679127
Litigator	0.0676815
goer	0.0674158
pharmacology	0.0660918
skiiers	0.0649423
zoologist	0.0649007
"security consultant"	0.0645742
sleuth	0.0641044
rower	0.0634876
demographer	0.0630639
stuntman	0.0625906
"exotic dancer"	0.062391
theatergoer	0.0617555
placekicker	0.0613302
"sports fan"	0.0611897
submariner	0.0609866
"one hundred"	0.0600198
skateboarder	0.0599857
churchgoer	0.0595043
experimenter	0.0593148
transient	0.0592686
trapper	0.0588309
pugilist	0.0586394
newspaperman	0.0584988
heckler	0.0581414
"baseball coach"	0.0580003
motorcyclists	0.0578982
aficionado	0.0576925
archeologist	0.0575671
"aerospace engineer"	0.0574078
"television reporter"	0.0572047
"hockey player"	0.0571642
orgasm	0.0569086
segregationist	0.056876
bootlegger	0.0562896
moviegoer	0.0557495
surveyor	0.0555646
collegian	0.0548383
"draft dodger"	0.054602
infantryman	0.054405
animator	0.0542203
restorer	0.0541404
"trial attorney"	0.0538082
hobbyist	0.0532925
sightseer	0.0532559
linguist	0.0531212
screamer	0.0528046
neuroscience	0.05274
biochemistry	0.0527317
"drama critic"	0.0525265
copywriter	0.0525237
serviceman	0.0521903
"movie critic"	0.0516165
bettor	0.0516068
taster	0.051572
physiologist	0.0515421
yachtsman	0.0515371
oceanographer	0.0512022
ventriloquist	0.0511306
Gustafsson	0.0508854
"professional golfer"	0.0507691
"technology analyst"	0.0507558
adopters	0.0506081
"shot putter"	0.050512
"Justin Rose"	0.0504649
"traffic cop"	0.0504314
snowboarders	0.0503912
"foster mother"	0.0499411
bailiff	0.0499307
Allergist	0.0498958
Granik	0.0498562
"art teacher"	0.0495282
installer	0.0492636
"world traveler"	0.0491722
paleontologist	0.0490375
biker	0.0489578
"private corporation"	0.0487534
Stoudamire	0.0485602
winemaker	0.0484182
striptease	0.048256
musicologist	0.0482439
attendees	0.0482162
Stackhouse	0.0481726
internist	0.0480329
mountaineer	0.0477278
Durand	0.0475689
"Matt Kuchar"	0.047541
birdbath	0.0475384
"art historian"	0.0475269
"partner in crime"	0.0474719
patrolman	0.0474315
connoisseur	0.0473484
clarinetist	0.0473328
sing-along	0.0471193
leper	0.0469616
pharmacologist	0.0468859
typist	0.0466919
knapsack	0.0466178
newsman	0.0465266
statistician	0.0465055
"HANK KUEHNE"	0.0460874
chronicler	0.0460586
deejay	0.0459496
Jovanovic	0.0455814
scheduler	0.0453899
"Jenny Chuasiriporn"	0.0453791
sunbather	0.0453396
punctuality	0.0452436
"political dissident"	0.0451895
meteorologist	0.0450761
cameraman	0.0450148
radiologist	0.0449487
DeVito	0.0448039
"stock trader"	0.0446873
stakeout	0.0446445
birdhouse	0.0446179
agronomist	0.0443182
"medical student"	0.044274
gawkers	0.0442631
"warning signal"	0.0442559
"big leaguer"	0.0442448
"art director"	0.0441057
filmgoers	0.0440705
Amelia	0.0439491
Arab-Americans	0.0439409
"hockey coach"	0.04392
"Jesse Orosco"	0.0438903
Mahomes	0.043868
cameramen	0.0438125
accompanist	0.0437212
ruffian	0.0436945
"electrical device"	0.0435806
Iliescu	0.0434801
raconteur	0.0431732
"department head"	0.0430896
entomologist	0.0430273
passerby	0.0430105
"Rashid Sidek"	0.0429545
"community organizer"	0.042794
"ice rink"	0.0427539
householder	0.042683
jeweler	0.042645
draftsman	0.0426295
stevedore	0.0426079
cinematographer	0.0425548
Mendez	0.0425494
upperclassmen	0.0423862
"church member"	0.0420652
triathlete	0.0420577
panelist	0.0418731
Bech	0.0418711
geographer	0.0418031
"media consultant"	0.0417755
geophysicist	0.0415744
"utility program"	0.0415659
"Darrell Waltrip"	0.0415246
educationist	0.0413391
ethicist	0.0410731
alderman	0.0410504
Gutman	0.0410363
"order form"	0.0409242
"Bubby Brister"	0.0406618
"comparative literature"	0.040629
ex-Marine	0.0403589
))
(bird-watchers (desc 1108.26) (sims
snowmobilers	0.116042
birder	0.11328
"bird watcher"	0.109404
jogger	0.101612
adopters	0.0973224
hiker	0.0963466
outdoorsman	0.0943712
gamers	0.0861955
boater	0.0746861
sportsmen	0.0685828
equestrian	0.0679004
genealogist	0.0673762
bikers	0.0670468
DeVito	0.0655486
trapper	0.0654371
gatherer	0.065055
angler	0.0642502
"North Carolinian"	0.0621938
goer	0.0596101
Ecuadoreans	0.0585248
"San Franciscans"	0.0584512
Granik	0.0551381
"mountain climber"	0.0542858
Beijingers	0.0541129
botanist	0.053908
"music lover"	0.053181
"Southern Democrats"	0.0528786
theatergoer	0.0523784
foodies	0.051237
"subsidiary company"	0.051156
ornithologist	0.0511419
"musical group"	0.0506509
holidaymaker	0.0504774
dilettante	0.0499178
Tillman	0.0494824
evangelicals	0.0492249
reveler	0.0492116
learner	0.0490314
Muscovite	0.048742
conservationist	0.0487149
sightseer	0.0485687
aficionado	0.0482339
segregationist	0.0481813
biker	0.0480993
filmgoers	0.0477383
moviemakers	0.0475756
hobbyist	0.0475622
bicyclist	0.0472455
telecommuters	0.0472164
innkeeper	0.0470595
woodworker	0.0469328
"New York Republicans"	0.0466639
"Cuban Americans"	0.0462662
eater	0.0462371
mainlanders	0.0459755
"interior decorator"	0.0457546
naturalist	0.0456726
Quebecers	0.0452929
weekender	0.0451238
egret	0.0449598
canoeist	0.0446291
"world traveler"	0.0443213
"Texas Democrats"	0.0443202
registrant	0.0442566
Atlantans	0.0440694
motorcyclists	0.0437667
steelworker	0.0435014
collegian	0.0433511
survivalist	0.0433185
"Iranian POWs"	0.0427976
Guinean	0.0427328
Cowan	0.0425482
"absentee ballot"	0.0421376
"science teacher"	0.0420948
oilmen	0.0419287
partygoer	0.0418578
"department employee"	0.0417216
"church member"	0.0416337
backpackers	0.0414717
neurosurgeon	0.0414006
Basques	0.0413497
seabird	0.0413319
kayakers	0.0411993
churchgoer	0.0409682
Virginian	0.0408351
"Albanian Kosovars"	0.0408172
"Joan Rivers"	0.0406831
Kraus	0.0406085
twentysomethings	0.0404686
transnationals	0.0404556
))
(birdbath (desc 978.772) (sims
gazebo	0.127523
"Dutch oven"	0.101213
mutton	0.0873329
"fire hydrant"	0.0843598
urn	0.0781196
"Caesar salad"	0.0772539
vase	0.07525
"fruit salad"	0.0744028
"gefilte fish"	0.0723497
birdhouse	0.0712777
"cat food"	0.0710587
ramekins	0.0701778
teardrop	0.0700275
Casserole	0.0697295
watchtower	0.0696225
macaroni	0.0692898
"lima bean"	0.068658
quesadillas	0.0683766
paella	0.0682877
"cream puff"	0.0682384
buns	0.0682279
"tuna fish"	0.0670342
puddle	0.0666813
"picture frame"	0.0666338
hubcap	0.066256
"hole in the ground"	0.0661681
Burrito	0.0645491
pastrami	0.0636889
"Lincoln Town Car"	0.0634135
knapsack	0.062507
"piece of furniture"	0.0619443
"tennis court"	0.0616787
"chicken wing"	0.0614879
"garbage can"	0.0608987
"pie crust"	0.0606917
brie	0.0606014
"love seat"	0.0603576
arbor	0.0603265
"bag of tricks"	0.0602345
"wall hanging"	0.0600862
pasty	0.0593761
"three pitchers"	0.0591169
dumpling	0.0589016
"duffel bag"	0.0586868
"lounge chair"	0.0585112
"balanced diet"	0.0584295
"trash can"	0.0583089
cask	0.0579962
"serving dish"	0.0578424
punchline	0.0575505
veggie	0.0575418
lox	0.0569784
goldfish	0.0566789
defroster	0.0565347
"videocassette recorder"	0.0564812
shortcake	0.0562821
"grocery bag"	0.0560845
colander	0.056049
Dumpsters	0.0559529
florets	0.0558054
crock	0.0556801
"pumpkin pie"	0.0555478
"herb garden"	0.0555466
playroom	0.0555166
torte	0.0552768
ashtray	0.0552288
laxative	0.0551711
comeuppance	0.0550834
"brussels sprout"	0.0550338
"storage room"	0.054967
"mixing bowl"	0.0549617
pail	0.0549088
"fish fillet"	0.0548939
sketchbook	0.0547882
"tile roof"	0.0542593
seascape	0.0539341
brook	0.0538523
receptacle	0.0537567
"raw meat"	0.0533614
enclosure	0.0531568
saucepan	0.0530677
accoutrement	0.0530524
"hush puppy"	0.0527815
"automatic teller machine"	0.0526705
falling-out	0.0524115
Lasagna	0.0523767
loaf	0.0523555
"cooking utensil"	0.0522792
jug	0.0522392
"coffee cup"	0.052191
feeder	0.0521864
Tamale	0.0521696
bookcase	0.0519459
"smoked salmon"	0.051835
"chicken sandwich"	0.0517039
guardrail	0.0514823
fajitas	0.0514536
"coffee pot"	0.0513482
"picnic area"	0.0513173
"frying pan"	0.0512403
pillowcase	0.0511779
"chicken salad"	0.0511237
"exercise equipment"	0.0509905
"water jug"	0.0509561
"Florida Derby"	0.0508941
drumstick	0.0507388
Goblet	0.0507117
"two boxes"	0.0506777
enchilada	0.0504391
arrowhead	0.0504123
"corn chip"	0.0502595
stockpot	0.0502174
quiche	0.0501953
stopwatch	0.0498517
"macaroni and cheese"	0.04984
"breathing space"	0.0498185
"weather vane"	0.0496482
"nest egg"	0.0496424
"mosquito net"	0.0496147
meatloaf	0.0495297
"rolling pin"	0.0492895
kebab	0.0492751
hourglass	0.0492356
feeler	0.0491995
cellblock	0.0491927
"nook and cranny"	0.0491638
"rainbow trout"	0.0491035
"putty knife"	0.0487044
"hard disk"	0.0486357
ass	0.0486313
silverware	0.0483423
phonograph	0.0482555
"french fries"	0.048132
outbuilding	0.0481194
"can opener"	0.048004
"beef tenderloin"	0.0479937
treehouse	0.0479192
brisket	0.0477804
wheelbarrow	0.0477323
"two bags"	0.047726
"bird watcher"	0.0475384
"window frame"	0.0474838
"leg of lamb"	0.0474782
"nose ring"	0.0473899
toenail	0.0473117
"sprinkler system"	0.0471227
"Honda Civic"	0.0471103
focaccia	0.0470012
"game room"	0.0469706
"spaghetti sauce"	0.0469017
"walking stick"	0.0468404
led	0.0467717
"woolly mammoth"	0.0466074
"shopping cart"	0.0465424
crostini	0.0464551
"right of way"	0.0463259
"ownership stake"	0.0461577
teapot	0.045818
chalkboard	0.0457275
Margarita	0.0454488
"point of reference"	0.045299
quart	0.0452864
"dinner plate"	0.045236
trellis	0.0451309
"flour mill"	0.0450247
"green salad"	0.0449981
kettle	0.0449461
electioneering	0.0448141
"potato salad"	0.0448056
nuclei	0.0447925
"line of products"	0.0446975
gratin	0.0446581
Cabana	0.0444801
"piece of cloth"	0.0444396
"beef cattle"	0.0443537
"gas tank"	0.0443421
chalice	0.0443017
"Blue Dog"	0.0441644
saucer	0.044095
"TV dinner"	0.0440909
anchovy	0.0440828
turbogenerator	0.0440151
"golf bag"	0.043947
sport-utility	0.0438576
"cassette player"	0.0438532
"blind spot"	0.0438371
"power steering"	0.0437422
"pot roast"	0.0436632
"display case"	0.0436409
Jacuzzi	0.0436311
smock	0.043585
"water line"	0.0434893
crockery	0.0434637
trestle	0.0434385
sideboard	0.0434304
snit	0.0431664
"price list"	0.0431288
mantelpiece	0.0430149
filet	0.0429638
"pork tenderloin"	0.0428891
))
(birder (desc 3005.23) (sims
"bird watcher"	0.139341
bird-watchers	0.11328
genealogist	0.110205
angler	0.108345
outdoorsman	0.107699
boater	0.102657
snowmobilers	0.100973
kayakers	0.100102
"mountain climber"	0.0917912
naturalist	0.0908008
hiker	0.0900143
botanist	0.0866238
"stamp collector"	0.0838789
gardener	0.0821673
surfer	0.0811779
stargazer	0.0810895
woodworker	0.0804925
ornithologist	0.0802967
bikers	0.078717
backpackers	0.0781185
canoeist	0.0772498
"rock climber"	0.0771114
gamers	0.0765829
enthusiast	0.0765114
hotelier	0.0750075
moviemakers	0.0739236
picnicker	0.0732176
camper	0.0730915
"sports fan"	0.072443
sightseer	0.0718943
sportsmen	0.0714701
jogger	0.0708269
mountaineer	0.0707541
Parisian	0.0702133
devotee	0.0691355
trapper	0.0690481
beekeeper	0.0689924
buff	0.0687535
watcher	0.0685242
beachgoers	0.0684512
paleontologist	0.0683982
skier	0.067718
conservationist	0.0676264
fisherman	0.0673199
"San Franciscans"	0.0664979
handicappers	0.0659435
astronomer	0.0658396
"music lover"	0.0657299
skydiver	0.0656448
cabby	0.0648607
Granik	0.0645467
aficionado	0.0639642
townsfolk	0.0639587
craftsmen	0.0639047
hobbyist	0.063689
"business executive"	0.0636647
zoologist	0.063594
adventurer	0.0634532
horticulturist	0.0630279
techies	0.0630217
exerciser	0.0626767
cultivar	0.0626013
"graphic artist"	0.0622105
Honduran	0.0608632
"Coptic Christians"	0.0605404
Atlantans	0.0600084
"health professional"	0.0594718
horseman	0.0594158
drinker	0.0593478
"social scientist"	0.0591245
logger	0.0590703
Berliner	0.0588576
salesperson	0.0588209
"film maker"	0.0584136
motorcyclists	0.0581638
climber	0.05807
Sportsman	0.0580508
DeVito	0.0580443
"Albanian Kosovars"	0.0579426
fire-fighter	0.0577728
foodies	0.0577698
sleuth	0.0576552
hemophiliac	0.0572202
celebrant	0.0567625
"world traveler"	0.0566562
"New York Republicans"	0.0566045
reveler	0.0564926
Creationists	0.0562882
listener	0.0557999
Irishmen	0.0556344
equestrian	0.0555245
"South Carolinian"	0.0550816
celebs	0.0548526
sculptor	0.0545776
"Southern Democrats"	0.0544126
Washingtonian	0.0543937
"chess player"	0.0543738
attendees	0.0543672
preservationists	0.0541372
Zairean	0.0540132
salespeople	0.0540075
hangers-on	0.0539862
"North Carolinian"	0.0539119
Muscovite	0.053668
archeologist	0.0535982
acolyte	0.0533587
gambler	0.0531644
enactors	0.0530711
"police lieutenant"	0.0529138
seismologist	0.0528576
"Cuban Americans"	0.0528391
businesspeople	0.0527825
skiiers	0.0525427
"business traveler"	0.0524465
"business organization"	0.0524201
homebuyers	0.0521359
"church member"	0.0520551
worshiper	0.0518178
moviegoer	0.051808
theatergoer	0.0518041
marksman	0.0517652
rower	0.0516464
"little leaguer"	0.051633
"car dealer"	0.0515625
Futurist	0.0514169
clinician	0.0513962
eighth-graders	0.0512485
gatherer	0.0512418
churchgoer	0.0510943
well-wisher	0.0510898
archaeologist	0.051078
vacationer	0.0510611
onlooker	0.0509284
holidaymaker	0.0508115
"hockey coach"	0.050803
Navajos	0.0507902
snowboarders	0.0506199
Pelican	0.0506154
fanatic	0.0506121
conventioneer	0.0505782
bodybuilder	0.0503739
poacher	0.0502923
Eritrean	0.0501561
homeowner	0.0500763
Londoner	0.0500166
restaurateur	0.049983
townspeople	0.0498503
looker	0.0497479
"New York Democrats"	0.0493697
reviewer	0.0493527
rappers	0.0491504
"margin call"	0.0490073
winemaker	0.0489972
"real estate broker"	0.0489776
believer	0.0489341
"small farmer"	0.0489078
"real estate agent"	0.0488572
electrician	0.0488233
calligrapher	0.0488029
cyclist	0.0487202
preservationist	0.0486772
aficionados	0.048621
filmgoers	0.0485263
folklorist	0.0485138
bed-and-breakfasts	0.0485067
kayaker	0.0484866
Methodist	0.048309
sleuthing	0.0482646
learner	0.0479462
minder	0.0478681
biologist	0.0478334
Chinese-Indonesians	0.047829
surveyor	0.0477455
"genetic disease"	0.0477452
vintner	0.0475849
goer	0.0473903
cabdriver	0.0473244
geologist	0.0473049
schoolchildren	0.047286
bicyclist	0.047268
junky	0.0472413
optometrist	0.0472115
Realtor	0.0472101
illegals	0.047199
deejays	0.047158
ecologist	0.0469138
adherent	0.0468315
"medical specialist"	0.0466961
gawkers	0.046625
Tillman	0.0465961
mourner	0.0465408
"detective work"	0.0465239
enterpreneurs	0.0465097
Beehive	0.0465036
filmmakers	0.0464487
laid-offs	0.0463861
"union member"	0.0463288
"television reporter"	0.0463066
Arab-Americans	0.0462983
"property owner"	0.0462249
))
(birdhouse (desc 1956.54) (sims
trestle	0.0849447
"sailing vessel"	0.0778317
birdbath	0.0712777
"fire wall"	0.0619591
"rocking chair"	0.0617326
commode	0.0590193
"golf equipment"	0.0574624
"picture frame"	0.0573735
pergola	0.0540483
armoire	0.0539921
Furbys	0.0539856
"pet food"	0.0534881
clunker	0.053165
trellis	0.0529313
"scientific instrument"	0.0523418
"fishing rod"	0.0519033
"mushroom cloud"	0.0514808
"fire hydrant"	0.0512397
cookware	0.0509863
lean-to	0.0508098
"dinner plate"	0.0503799
footbridge	0.0501916
"coffee cup"	0.0501503
dowel	0.0501481
megaplexes	0.0499724
Hoe	0.0496964
knapsack	0.0496061
"GI Joe"	0.0494339
penis	0.0494004
"ball field"	0.0492894
"white line"	0.0491284
"office furniture"	0.0486034
chalet	0.0478406
"fishing net"	0.0477529
"tourist hotel"	0.0474918
"walking stick"	0.0474045
haystack	0.0473499
widget	0.0471281
storefront	0.0470682
powerboat	0.0470677
"test equipment"	0.0469743
"wedding cake"	0.0469503
bookcase	0.0469339
"toilet seat"	0.0467622
PCC	0.0465178
abacus	0.0464538
"window frame"	0.0460556
awning	0.0459499
"patrol ship"	0.0459439
"water tower"	0.0458514
"rocket fuel"	0.0455043
Hummer	0.0453265
"side chair"	0.045269
"flour mill"	0.0452347
URLs	0.0449469
minesweeper	0.0448822
"luxury liner"	0.044831
"bird watcher"	0.0446179
"birthday card"	0.0445725
matzoh	0.044473
"aircraft engine"	0.0441508
"two units"	0.0441421
"radio telescope"	0.0439903
Snowmen	0.0438581
Igloo	0.0438511
"greeting card"	0.0437952
"piggy bank"	0.0437576
"particle accelerator"	0.0432849
"Dutch oven"	0.0432048
Buicks	0.0430981
"money order"	0.0430484
upholstery	0.0430482
"school of thought"	0.0430304
canteen	0.0430259
"fortune cookie"	0.0429155
"Ferris wheel"	0.0428895
berm	0.0427712
"jigsaw puzzle"	0.0426663
router	0.042579
monstrosity	0.0424616
"ice rink"	0.0423429
"fire escape"	0.0421784
"pedestrian bridge"	0.0421668
"sewer line"	0.0420585
creche	0.0420448
hovercraft	0.042015
"jet engine"	0.0419712
"water tank"	0.0419691
"trading card"	0.0419339
"home appliance"	0.0417455
"bowling ball"	0.0413345
purifier	0.041329
scaffold	0.0412969
granary	0.0410952
"time clock"	0.0407649
sport-utility	0.0405967
rafts	0.0405152
airship	0.0404177
viaduct	0.0402699
A@XX	0.0401581
))
(birdie (desc 45805.8) (sims
bogey	0.424876
putt	0.338062
eagle	0.267632
par	0.261148
double-bogey	0.227484
chip-in	0.166946
hole-in-one	0.161798
hole	0.141105
three-putted	0.135875
tap-in	0.132193
shot	0.129066
"approach shot"	0.115064
two-putted	0.110724
ace	0.108493
"field goal"	0.105122
"service break"	0.0992779
par-@s	0.0988202
"free throw"	0.0972525
victory	0.0958619
touchdown	0.0935524
par-@	0.0925112
round	0.089726
"home run"	0.0872544
stroke	0.0862679
strikeout	0.0841126
"No. @@"	0.083258
tee	0.0827231
goal	0.0820992
three-pointers	0.0820432
bunker	0.0814227
"sand wedge"	0.0801016
fairway	0.0797155
homer	0.0778245
nine	0.0761499
shutout	0.0751547
inning	0.0749462
O'Meara	0.0748786
green	0.0744532
interception	0.0737082
Trey	0.0728503
wicket	0.0717171
"road game"	0.0715487
straight	0.0707676
"chip shot"	0.0697501
jumper	0.0690632
putter	0.0683939
"grand slam"	0.0679613
lap	0.0671618
seven	0.066597
"eight points"	0.0660085
rebound	0.0658361
RBI	0.0653775
outs	0.065108
Six	0.0650641
comeback	0.0647846
"Tiger Woods"	0.0646925
foul	0.06385
top-@@	0.0637511
layup	0.06346
Five	0.0634318
four	0.0633806
Duval	0.0632049
"jump shot"	0.0631334
ball	0.0629923
Three	0.062883
TDs	0.0628423
"Pro Bowls"	0.0628032
eight	0.0624276
dunk	0.0617784
chance	0.0614287
safe	0.0610211
Mickelson	0.0610162
kick	0.0605104
rough	0.0602244
"nine points"	0.0601265
Opens	0.0599026
TD	0.0594085
"unearned run"	0.0593654
single	0.0589841
feet	0.0588146
triple	0.0587628
"base hit"	0.05865
medal	0.0586279
"foul shot"	0.0576357
volley	0.0574272
pair	0.0573356
wood	0.0573277
baserunners	0.0572602
layups	0.0570707
"passing shot"	0.0570207
Sorenstam	0.0563039
"base runner"	0.056108
"one shot"	0.056023
at-bat	0.055851
knockout	0.0556973
"day of rest"	0.0555864
title	0.055536
no-decision	0.0554972
"Super Bowls"	0.0554197
no-hitter	0.0551831
wedge	0.0551538
runner	0.0549966
"winning streak"	0.0546364
"power play"	0.054539
winner	0.0543128
punch	0.053933
error	0.0539095
basket	0.0538943
playoff	0.0538781
triumph	0.052902
"earned run"	0.05272
golfer	0.0526935
"No. @"	0.0524518
"four points"	0.0523848
"two points"	0.0517768
"six points"	0.05176
championship	0.0514706
"three points"	0.050863
advantage	0.050814
finishing	0.0504652
overs	0.049999
dive	0.0499085
"five points"	0.0495644
"extra points"	0.0492636
swing	0.049256
gold	0.0492541
curveballs	0.0491943
eighth	0.0490865
turnover	0.0490436
appearance	0.0489375
sixth	0.0487997
major	0.0487149
sack	0.0485786
"Stanley Cups"	0.0485746
penalty	0.0485309
three-pointer	0.0485303
outing	0.048507
fourth	0.0484904
"second homer"	0.0484453
tournament	0.0484228
rushing	0.0483755
downs	0.0483339
ninth	0.0482537
"seeded player"	0.0480467
knockdown	0.0480307
mistake	0.0479878
fifth	0.0477578
firsts	0.0475341
yard	0.0475096
"double play"	0.0474004
cup	0.0472715
batter	0.0472649
Woods	0.0472593
punt	0.0472378
fumble	0.0471837
overall	0.0469183
streak	0.0468422
"seven points"	0.0467801
Janzen	0.0467239
"Phil Mickelson"	0.0466317
"running play"	0.0463982
berth	0.0462452
"curtain call"	0.0461097
winning	0.0458744
majors	0.0457542
pin	0.0456658
chip	0.0456409
bronze	0.0455484
"home game"	0.0454775
Masters	0.0454229
seventh	0.045352
tackle	0.045329
"hook shot"	0.0451253
games.	0.0450023
sellout	0.0444397
"third time"	0.0442085
finisher	0.0436803
Olazabal	0.043642
Montgomerie	0.0435425
"first @@"	0.0432634
miscue	0.0432483
leaderboard	0.0431751
"solo homer"	0.0430991
abstention	0.0429378
"Jim Furyk"	0.0428995
timeouts	0.0428762
flurry	0.0427595
"Colin Montgomerie"	0.0427149
"two @-pointers"	0.042634
"match point"	0.0426182
forehand	0.0426146
silver	0.0424627
hat-trick	0.0423888
stitch	0.0422266
trophy	0.0420517
"David Duval"	0.0416925
doubles	0.0415664
starter	0.0411074
em	0.0411051
hook	0.0411005
))
(Birmingham (desc 26665.8) (sims
Memphis	0.148693
Tuscaloosa	0.144332
Minneapolis	0.142621
Indianapolis	0.139517
Glasgow	0.136234
Manchester	0.135055
"Little Rock"	0.134065
"New Orleans"	0.132507
Nashville	0.130318
Rochester	0.127736
Huntsville	0.127531
Philadelphia	0.125811
Tampa	0.124892
MELBOURNE	0.123703
"Kansas City"	0.122104
Denver	0.122007
"St. Petersburg"	0.121889
Raleigh	0.121507
"Fort Worth"	0.121226
Richmond	0.120923
Belfast	0.120692
Knoxville	0.120496
Atlanta	0.120461
Baltimore	0.120267
Chicago	0.120233
Greenville	0.120071
Columbus	0.11943
Tucson	0.119426
ASHEVILLE	0.119143
Dublin	0.119142
Albany	0.11901
LONDON	0.118879
Montgomery	0.118777
"Los Angeles"	0.118522
Phoenix	0.118251
Louisville	0.11793
Honolulu	0.117308
Hamburg	0.117114
"Las Vegas"	0.117046
Lausanne	0.116886
Chattanooga	0.116463
"San Antonio"	0.115816
"Oklahoma City"	0.115802
"Mexico City"	0.115797
"Des Moines"	0.115722
Vienna	0.115692
Charlotte	0.115687
"San Diego"	0.115584
Durban	0.11507
Istanbul	0.114983
Austin	0.114949
"Tel Aviv"	0.114874
Brisbane	0.1141
Orlando	0.113663
Montreal	0.113556
Detroit	0.113383
Berlin	0.113219
"San Francisco"	0.113192
Naples	0.113103
Copenhagen	0.112984
Newark	0.112792
"San Jose"	0.112429
Madrid	0.112346
Wilmington	0.112177
PALERMO	0.111303
Hartford	0.111167
Cardiff	0.111064
Paris	0.110282
Zurich	0.110222
"New Haven"	0.110207
BUDAPEST	0.110135
Osaka	0.110075
Portland	0.110034
JOHANNESBURG	0.109884
Dallas	0.109861
Boston	0.109772
Houston	0.109764
Munich	0.109492
Alexandria	0.109476
Havana	0.109435
"New York City"	0.108953
"Fort Lauderdale"	0.107792
Pittsburgh	0.107717
Buffalo	0.107701
Miami	0.10731
Lubbock	0.107279
"Salt Lake City"	0.107028
Geneva	0.106705
TALLAHASSEE	0.106445
Sacramento	0.106372
STOCKHOLM	0.105661
Hillsboro	0.105619
Santiago	0.105361
Milwaukee	0.105312
Seattle	0.105216
Omaha	0.105193
Cincinnati	0.10505
"St. Louis"	0.104904
anchorage	0.104727
SEOUL	0.104617
Spokane	0.104418
Milan	0.104399
BRUSSELS	0.104254
BUCHAREST	0.103821
Springfield	0.103753
Prague	0.103723
Albuquerque	0.103518
Cleveland	0.103304
Pasadena	0.103271
ATHENS	0.103189
Charleston	0.102882
Rome	0.102879
"West Palm Beach"	0.102752
Perth	0.10246
Amsterdam	0.102328
Toronto	0.102259
Lyon	0.101905
Selma	0.101536
Wichita	0.101195
Vancouver	0.101117
"El Paso"	0.100768
Akron	0.100724
Savannah	0.0993477
Washington	0.0992542
Duesseldorf	0.0990619
Morristown	0.0990422
"Buenos Aires"	0.0990035
"San Juan"	0.0986609
"Kuala Lumpur"	0.0984424
LISBON	0.0982082
"St. Paul"	0.0980128
HARARE	0.0978073
Tacoma	0.097589
Calgary	0.0975833
"New York"	0.0975119
"Cape Town"	0.0971789
"Sao Paulo"	0.0971263
Providence	0.0967876
Adelaide	0.0967771
Tokyo	0.0965186
Auckland	0.096487
Worcester	0.0960607
Dayton	0.0957587
Portsmouth	0.095694
Brooklyn	0.0956894
Jacksonville	0.0955838
Algiers	0.0955672
Helsinki	0.0954106
Stamford	0.0944754
Macon	0.094393
Arlington	0.0943737
Riyadh	0.094347
Norfolk	0.0943275
Leeds	0.0941739
CAIRO	0.0941102
Stuttgart	0.0939879
KIEV	0.093864
Sarajevo	0.093623
Lahore	0.0936133
Syracuse	0.093321
Liverpool	0.0933139
Edinburgh	0.0929819
Decatur	0.0928915
CARACAS	0.0928508
Sydney	0.0926634
Oakland	0.092606
Tulsa	0.0925691
Pristina	0.0925515
COLOMBO	0.0925052
Mobile	0.0924401
Taipei	0.092259
Basle	0.0921603
Greensboro	0.091897
Tijuana	0.091883
Moscow	0.0918476
"Santo Domingo"	0.0917221
Florence	0.0915993
Frankfurt	0.0914678
Jakarta	0.0911708
Barcelona	0.0910262
Manila	0.0906321
Amman	0.0905072
Strasbourg	0.0901083
"Baton Rouge"	0.0900772
Dushanbe	0.0899546
Halle	0.0898953
WARSAW	0.0898399
Hanover	0.0896758
Scottsdale	0.0895188
Linz	0.0894142
Nairobi	0.0893205
midland	0.0892521
Fukuoka	0.0891391
Manhattan	0.0889782
BOGOTA	0.0889741
Tripoli	0.0885777
"Long Beach"	0.0885411
Bangkok	0.0881644
Khartoum	0.0878867
Lexington	0.087752
))
(Birnbaum (desc 926.519) (sims
Gangelhoff	0.112949
"Breda Kolff"	0.110188
Schaffer	0.107277
Lehane	0.105183
Svorada	0.0986931
Karlsson	0.0985631
Hlavac	0.0976858
Sithole	0.0970182
Kavan	0.0948451
Mackey	0.0938176
Hamlin	0.0919191
Napolitano	0.0903205
Hallinan	0.0865144
Rylander	0.0861557
Scruggs	0.0847799
Greenwald	0.0846809
Casserly	0.0845362
Maharaj	0.0841064
Aliotti	0.0835441
Parrish	0.0825289
Kerouac	0.0817543
Verniero	0.0811499
Weiner	0.0809267
Solis	0.0802701
Jenoff	0.0798819
Brazile	0.0797868
Bosman	0.0793035
Zelezny	0.0785935
Eskew	0.0765289
Cleary	0.076087
Eappens	0.0756441
"Juan Miguel"	0.0748295
Speer	0.0743785
Torvalds	0.0741228
Wagoner	0.0734625
Protas	0.0732997
"Jim Harrick"	0.0730916
Rongen	0.073072
Schottenheimer	0.0730366
Whipple	0.0727824
Whyte	0.0727124
Nicol	0.0725845
Jobe	0.0716114
Harrick	0.0713482
Wilhelm	0.0713449
Goossen	0.0708048
Pryor	0.069944
Pitney	0.0697165
Jarvis	0.0697023
Schreiber	0.0694777
BNFL	0.0690703
Galbraith	0.0689515
Rosen	0.0689272
Kohn	0.0688547
McGowan	0.0685996
hough	0.0684402
Hoke	0.06844
Hartsburg	0.0683578
LaPierre	0.0683007
Olsen	0.0680871
Fuhrman	0.067756
Triplett	0.0677214
Flanagan	0.0676905
Feuer	0.0676874
Atwood	0.0673443
CBO	0.0671671
Ibarra	0.0670583
DERSHOWITZ	0.0670432
Cavanaugh	0.0669823
Rivlin	0.0667977
Chouinard	0.0666882
Harris-Lewis	0.0666213
Gauthe	0.0665371
Skiles	0.0664397
Brennan	0.0664146
Naumann	0.0662557
Wannstedt	0.0659996
Venables	0.0659544
Remnick	0.065789
Schiffer	0.0657239
"Truth Commission"	0.065521
Layden	0.0654547
Fassett	0.0654298
Higgins	0.0653734
Pearce	0.0652742
Nasrallah	0.0650887
Stossel	0.064957
Gorman	0.0644773
Spiegel	0.0643934
Marineau	0.0643868
Finkel	0.0643277
Singson	0.064294
Godfrey	0.0641777
Natale	0.0641
Demaci	0.0640985
Leyland	0.0640637
Sherrill	0.0640105
Bradford	0.0636996
Ponciano	0.0636888
Camacho	0.0635933
McMullen	0.0634284
Knapp	0.0633901
"National Gambling Impact Study Commission"	0.0630774
Joklik	0.063041
Rutherford	0.0627973
criminologists	0.0627676
Rosenbaum	0.0627455
LeFave	0.062707
Coe	0.0623262
Eizenstat	0.0621629
Yoakam	0.0620538
Isner	0.0618433
"Doug Johnson"	0.0615484
Schmid	0.0614961
"Chan Gailey"	0.061324
"Tommy Bowden"	0.0611811
"American Petroleum Institute"	0.061084
Fitch	0.0610731
Pollack	0.0610507
Kurtz	0.0610442
LaBella	0.0610012
Schaeuble	0.0608649
Gritz	0.0608612
Glaser	0.0606304
Hirsch	0.0604363
Wolff	0.0604097
Quackenbush	0.060302
Zucker	0.0602921
Dodik	0.0602779
Macfarlane	0.0601145
Ershad	0.0600181
Sorensen	0.0599973
Hiett	0.0599728
Betts	0.0599705
singleton	0.0597853
"Rick Neuheisel"	0.0597418
Noonan	0.0595624
Sung	0.0594227
Rossotti	0.059408
Coelho	0.059381
Goode	0.0593494
Magaziner	0.0591687
Abram	0.0589063
Fiorina	0.0588516
Farah	0.0588401
Gehry	0.0588384
cutler	0.0587983
McLaughlin	0.0585767
Kessler	0.0585371
Sharma	0.058523
Schoenfeld	0.0582637
"day laborer"	0.0582111
Scioscia	0.0581956
Schlichtmann	0.0580997
Keenan	0.0579765
Walser	0.0579011
Haq	0.0578318
Milbury	0.057812
Goldin	0.0578024
"Johnnie Cochran"	0.0577147
Marsalis	0.0576927
Lowry	0.0575487
bullock	0.057142
"Mitt Romney"	0.0570597
Mapes	0.0570557
Ainge	0.0569265
"Paul Westphal"	0.0568584
Hiddink	0.0568351
Reimer	0.0567418
ACLU	0.0567012
Talebi	0.0567008
Borodin	0.056693
Beckwith	0.0566643
soon-to-be	0.0565778
Baumann	0.0564832
Coia	0.0563846
Andreessen	0.0563271
Prewitt	0.0563182
"Dick Jauron"	0.0563042
Jauron	0.0562983
Siemerink	0.0562853
Ramsey	0.0561799
Roberson	0.0561666
Harrelson	0.0561321
Kassirer	0.0561213
Gardiner	0.0561104
Satcher	0.0560717
Kroslak	0.0560165
HELLER	0.056006
"Niagara Mohawk"	0.0559712
Ritter	0.0559248
Schieffer	0.0557217
McNulty	0.055689
Menchu	0.0556888
Dungy	0.0554661
BURNHAM	0.055425
Rothenberg	0.0553342
Cohn	0.0553306
Farber	0.0553207
Sharpe	0.0553092
))
(birr (desc 12607.7) (sims
pataca	0.322592
"Zimbabwe Dollars"	0.311213
"Tanzania Shillings"	0.2966
ECUs	0.28014
ECU	0.277713
shekel	0.266187
hryvnas	0.245948
Pula	0.245835
T.Shs	0.232916
ringgit	0.210033
"Kenya Shillings"	0.203142
U.S.dollars	0.19361
euros	0.192504
"Uganda Shillings"	0.192111
"U.S. Dollars"	0.191887
dinar	0.187597
hryvna	0.179384
"currency unit"	0.178534
ruble	0.169558
"Deutsche Mark"	0.16881
VND	0.168432
KUNA	0.161569
"Malaysian Ringgit"	0.157162
meticais	0.151728
korun	0.142331
"one million yuan"	0.139731
metical	0.134294
"nearly @@@ million yuan"	0.133865
kWh	0.130558
crore	0.129908
"one billion yuan"	0.125868
"U. S.dollars"	0.125815
shilling	0.124723
"three million yuan"	0.124351
RMB	0.123693
"two million yuan"	0.122285
sq.m	0.122183
dollar	0.121956
tenge	0.1216
"about @@@ million dollars"	0.120662
dollars-worth	0.118726
"two billion yuan"	0.118023
"three billion yuan"	0.118007
"Over @@@ Million Dollars"	0.116787
tonne	0.116175
"over @@@ million yuan"	0.115154
"six billion yuan"	0.115093
"more than @@@,@@@ yuan"	0.11344
kg	0.10987
"five million yuan"	0.108171
reais	0.10656
"more than @@ million yuan"	0.105376
"about @@ billion yuan"	0.104908
"one US dollar"	0.104181
"over @@ billion yuan"	0.102962
"five billion yuan"	0.102581
"over @@ million yuan"	0.101346
"about @@@ million yuan"	0.100568
"more than @@,@@@ yuan"	0.0998805
"one billion dollars"	0.0994316
cu.m	0.0991016
bpd	0.0979519
"one million dollars"	0.0978823
"over @.@ billion yuan"	0.0974601
"more than @@@ million yuan"	0.0972037
"about @.@ billion dollars"	0.0967831
"about $@ billion"	0.0952682
"about $@.@ billion"	0.0949919
"more than @.@ billion dollars"	0.0941965
"more than @@@ billion yuan"	0.0940102
"about $@@@ million"	0.0932677
"about $@@ billion"	0.0929938
USD	0.0928559
rial	0.0925835
"about $@.@ million"	0.0924346
"about $@@@,@@@"	0.0923305
"about @@ million dollars"	0.0913694
"about $@@ million"	0.0913622
"nearly $@@ million"	0.0903636
"about $@"	0.0898608
"about $@@,@@@"	0.089689
"about $@ million"	0.0888834
m.	0.0888273
"one million US dollars"	0.0885872
"more than @ billion yuan"	0.0880317
rupee	0.0880111
"about @@@ million US dollars"	0.0855191
ha	0.0849496
kwanza	0.0848424
"four billion yuan"	0.0846202
Pound	0.084364
"nearly $@@@ million"	0.0834281
yuan	0.0833773
"almost $@@,@@@"	0.0833268
"almost $@ million"	0.0829109
"about $@@.@ million"	0.0824993
franc	0.0822934
NZ	0.0820967
"nearly @.@ billion yuan"	0.0818665
"more than @@@ million dollars"	0.0817017
"about $@,@@@"	0.0816311
"more than @@ billion dollars"	0.0810704
bale	0.0809144
"over @@@ million US dollars"	0.0803712
"more than @@ billion yuan"	0.079567
dlrs	0.0795229
"more than @@ million US dollars"	0.0794165
"about $@@"	0.0786442
"nearly @@ billion yuan"	0.078233
"RM@@@,@@@"	0.0775497
"about $@.@@"	0.0772572
"nearly $@@ billion"	0.0771304
"about $@@@"	0.0769669
"eight percent"	0.076452
"about @@ billion dollars"	0.0764311
"six percent"	0.07626
"billion yuan"	0.0749174
"two percent"	0.0747109
fils	0.0745317
"seven percent"	0.0743792
"nearly $@ billion"	0.0739098
"nearly $@ million"	0.0738566
"five percent"	0.0736918
"more than @@ million dollars"	0.0730632
RM@@@	0.0719261
"nearly $@@"	0.0717132
"about $@@@ billion"	0.0712483
"four percent"	0.0704354
"more than @.@ billion yuan"	0.0700294
HK	0.0699538
"over $@ million"	0.0692883
"one percent"	0.0690599
"about @.@ percent"	0.0688949
zloty	0.0686222
"over @@ million US dollars"	0.0684993
"RM@,@@@"	0.0684548
"common shares"	0.0678257
"a few million dollars"	0.0672314
billion	0.0672108
"seven billion yuan"	0.0671934
"one billion US dollars"	0.0665287
Euro	0.0660826
"about $@@.@@"	0.065784
"less than @"	0.0649908
"three percent"	0.0649513
"one billion"	0.0649128
dwt	0.0643615
"almost $@@ million"	0.0639946
"about @ percent"	0.063656
"another @@ million dollars"	0.0629205
"nearly $@@,@@@"	0.0626214
"nearly $@@@,@@@"	0.0626094
sq	0.0625519
"less than @@"	0.0621542
"thousand dollars"	0.0620005
sq.km	0.0619883
"nearly $@.@ million"	0.0619679
"more than one billion yuan"	0.0614855
"nine percent"	0.0611946
"about @@ million"	0.0606209
"million dollars"	0.0604935
"ordinary shares"	0.0602723
"about $@.@@ billion"	0.0600236
kgs	0.0597466
"over $@,@@@"	0.0596962
"about @ billion dollars"	0.0592389
"One Million"	0.0587592
"over $@@@ million"	0.058747
"about $@@.@ billion"	0.0583364
"almost $@@ billion"	0.0581824
"over $@@@,@@@"	0.0581124
Dong	0.0578091
"over $@@ million"	0.0576994
kilometer	0.0574539
"about @@ million US Dollars"	0.0570214
"United States dollar"	0.0569521
m	0.0567044
"million yuan"	0.0562416
subscriber	0.0560074
"over $@ billion"	0.0559969
"over @@@ billion yuan"	0.0558811
"about @.@ billion"	0.0557814
"about @.@"	0.0556157
"billion dollars"	0.055602
"about $@.@@ million"	0.0555968
"net profit"	0.05555
"over $@@,@@@"	0.0555163
"hundred dollars"	0.054806
"one dollar"	0.0547452
"almost $@@@,@@@"	0.0547177
"over @@@,@@@ tons"	0.0546883
"RM@@,@@@"	0.0546571
"less than @.@ percent"	0.0540877
"more than @ billion dollars"	0.054026
"more than @@@ million US dollars"	0.0539235
"hundred thousand dollars"	0.0538996
"about @@@ million"	0.0537882
barrel	0.0537578
"a few hundred dollars"	0.0536284
km	0.0535626
))
(birth (desc 88111.2) (sims
pregnancy	0.11465
Death	0.112635
founding	0.0923865
birthday	0.0919175
arrival	0.0874987
marriage	0.0856827
"birth rate"	0.0820328
adoption	0.0794765
mortality	0.0794687
childbirth	0.0786238
divorce	0.077716
miscarriage	0.0759053
abortion	0.0744051
illness	0.0737056
accident	0.0723151
age	0.0717728
wedding	0.0709732
suicide	0.0703682
arrest	0.0698097
baby	0.0695378
crash	0.0693764
disappearance	0.0683892
infection	0.067435
anniversary	0.067074
delivery	0.0649169
"heart attack"	0.0646013
surgery	0.0640071
creation	0.0638182
handover	0.0633129
beginning	0.0630785
life	0.0626429
discovery	0.0625284
graduation	0.0619629
"death rate"	0.0615998
child	0.0615261
fatality	0.0605085
baptism	0.0603883
incident	0.0603068
introduction	0.0597282
killing	0.0596627
resurrection	0.0595614
cancer	0.0595561
inauguration	0.0591695
Childhood	0.0589987
homicide	0.0589827
"mortality rate"	0.0581999
hospitalization	0.0581385
funeral	0.0581207
opening	0.0581116
collapse	0.0580152
achievement	0.0580046
breakup	0.0579065
murder	0.0575573
emergence	0.0568377
demise	0.056701
infant	0.0566252
sex	0.0560458
rate	0.0558173
outbreak	0.055809
origin	0.055666
injury	0.055652
mother	0.0555367
evolution	0.0552581
event	0.0549336
tragedy	0.0549066
bombing	0.054777
growth	0.0546973
Execution	0.0545521
fertility	0.0544811
election	0.05443
rebirth	0.0542341
explosion	0.0541205
seizure	0.0540846
signing	0.0539055
assassination	0.0537812
completion	0.053666
launching	0.0534806
case	0.0532295
crime	0.0532124
departure	0.0527458
conception	0.0526024
slaying	0.0525431
shooting	0.0521612
announcement	0.0520971
disease	0.0520836
retirement	0.0520469
birthplace	0.0519616
eruption	0.0516809
burial	0.051542
operation	0.0515135
development	0.0513267
behavior	0.0511773
revolution	0.0510886
earthquake	0.0509221
harvest	0.0508186
massacre	0.0507079
disability	0.0506909
treatment	0.0506669
success	0.0506579
advent	0.0506055
"heart disease"	0.0505212
recovery	0.0504954
exposure	0.050495
meeting	0.0504889
establishment	0.0504842
loss	0.0504449
war	0.0502586
decline	0.0502183
celebration	0.0501711
employment	0.0501518
disaster	0.0499375
coronation	0.0498777
history	0.0498563
survival	0.0498521
incidence	0.0495548
reunion	0.0494998
performance	0.0494948
debut	0.0494792
takeover	0.0491716
malnutrition	0.0491172
trial	0.0491121
transformation	0.049036
transplant	0.0489953
independence	0.04897
diagnosis	0.0486898
landing	0.048647
invasion	0.0484298
epidemic	0.0483259
Obesity	0.0482593
failure	0.0481815
coup	0.0480112
abduction	0.0479575
takeoff	0.047904
"life expectancy"	0.0478743
layoff	0.0478678
parent	0.0478192
centennial	0.0478155
complication	0.0477897
appointment	0.0477896
victory	0.0476963
ceremony	0.0475655
health	0.0475584
population	0.0475562
suffering	0.047503
appearance	0.0474383
smoking	0.0473335
Quake	0.0473328
bankruptcy	0.0471653
dawn	0.0468773
resignation	0.0468568
rescue	0.0468196
formation	0.0467954
premiere	0.0466207
violence	0.0464948
existence	0.0464623
holiday	0.0460125
unemployment	0.0459277
abuse	0.0458865
entry	0.0456817
moment	0.0455846
father	0.0455254
date	0.0453005
sale	0.0452863
"drug use"	0.0451521
triumph	0.0450583
popularity	0.0450104
decision	0.0449713
love	0.0448838
identity	0.0448617
stroke	0.0448143
poverty	0.0447956
episode	0.0446998
defect	0.0446886
family	0.044506
separation	0.0444787
relationship	0.0444599
Christmas	0.0444206
care	0.0443953
Dismissal	0.044048
Sunrise	0.0440077
accomplishment	0.0437611
flight	0.043663
activity	0.0435583
improvement	0.0435381
inflation	0.0435089
movement	0.0434666
summit	0.0433565
decrease	0.0433512
encounter	0.043344
education	0.0432243
speech	0.0431986
admission	0.0431736
expansion	0.0431359
trip	0.0431097
publication	0.0430999
kidnapping	0.0430704
career	0.0429466
removal	0.0428453
value	0.0428073
newborns	0.0426938
))
("birth certificate" (desc 8756.32) (sims
"driver's license"	0.203668
"identity card"	0.179679
passport	0.15468
certificate	0.139648
"Social Security number"	0.123952
"credit report"	0.123436
ID	0.11674
"marriage license"	0.107502
invoice	0.10729
"medical record"	0.0999024
"work permit"	0.0987295
"license plate"	0.0977614
"official document"	0.0916989
"purchase order"	0.088526
"fishing license"	0.0864566
transcript	0.0850667
diploma	0.0841459
"tax return"	0.0836465
license	0.0827239
"medical report"	0.0810393
licence	0.0803103
"credit card"	0.0802447
"bank statement"	0.0787558
"financial statement"	0.0767322
"return address"	0.0765467
visa	0.0756793
"boarding pass"	0.0732504
"historical document"	0.0730799
"newspaper clipping"	0.0730008
receipt	0.072182
"identification number"	0.0717645
"tax form"	0.0713971
documentation	0.0711007
"application form"	0.0708548
"search warrant"	0.0705811
ID.	0.0705104
stub	0.0701267
identification	0.0680828
Banknote	0.0677904
"ticket stub"	0.0674623
deed	0.0667278
"income tax return"	0.0652535
citizenship	0.0644638
badge	0.0637268
credential	0.0634666
"business card"	0.0632158
affidavit	0.0609475
correspondence	0.0599279
"bank card"	0.0599216
"airplane ticket"	0.0595101
signature	0.0594529
motherboards	0.0593887
"medical history"	0.0593005
"power of attorney"	0.0589583
postmark	0.0587767
diary	0.0584516
registration	0.0581878
"dust jacket"	0.057109
"membership card"	0.0569788
"bank note"	0.0569286
"promissory note"	0.055578
"bank account"	0.0555263
fingerprint	0.0555189
manuscript	0.0554559
"report card"	0.0548554
"phone bill"	0.0536798
manual	0.0530645
"newspaper article"	0.0528677
"phone number"	0.0526711
"book jacket"	0.0525817
"computer file"	0.0525729
"tape recording"	0.0516349
URL	0.0514558
"order form"	0.0512868
memo	0.0510158
"telephone number"	0.0507878
registry	0.0507533
"dollar bill"	0.050709
prescription	0.0501861
warrant	0.0499853
"legal document"	0.0491134
accreditation	0.0490513
"bar code"	0.0490101
toolbar	0.0488956
"wedding ring"	0.0487236
Ledger	0.0486477
schoolwork	0.0482121
paperwork	0.0481053
"First Section"	0.0480968
"foster mother"	0.0478691
"account statement"	0.0478656
belonging	0.0476228
dossier	0.0475801
"plane ticket"	0.047304
"floor plan"	0.0470498
mammogram	0.0469604
"food stamp"	0.0468099
"slip of paper"	0.0465439
"mug shot"	0.0465139
"credit history"	0.0462715
"registration number"	0.0459624
password	0.0458847
census	0.0458051
"Hong Kong Stock Exchange"	0.045746
wallet	0.045642
memorandum	0.0453628
booklet	0.045254
"news article"	0.0451655
"sheet of paper"	0.0451277
sutras	0.0447122
autograph	0.0446304
"piece of paper"	0.0445752
"baseball card"	0.0445742
authorization	0.0440092
postcard	0.0438966
voucher	0.0438675
"convertible bond"	0.0435664
calendar	0.0434183
confession	0.0433953
"Shenzhen Stock Exchange"	0.0433019
"wrapping paper"	0.0431917
"name tag"	0.0430588
"letter of credit"	0.0430561
"Amos Wako"	0.0429448
sticker	0.0428385
naturalization	0.0428124
envelope	0.042592
prospectus	0.0425893
packaging	0.0424317
"family name"	0.0423634
contraceptive	0.0422991
"traveler's check"	0.0421794
"legal representation"	0.0420859
"deposit box"	0.0420149
souvenir	0.0417366
"written material"	0.0416443
"source code"	0.0413876
"stock certificate"	0.0411507
"false name"	0.040912
"maiden name"	0.0408908
Lien	0.0408398
"medical care"	0.0407728
wristband	0.0407083
withholding	0.0405044
masthead	0.0404923
"expense account"	0.0404339
kit	0.0403717
waiver	0.0401448
"confidential information"	0.0400266
))
("birth control" (desc 7802.75) (sims
Contraception	0.349916
contraceptive	0.201756
"family planning"	0.183402
euthanasia	0.148059
homosexuality	0.135891
abortion	0.134308
sterilization	0.123985
abstinence	0.102568
"population control"	0.102352
condom	0.0966081
anti-inflammatory	0.0925298
psychotherapy	0.0908022
vasectomy	0.089958
circumcision	0.0875461
"capital punishment"	0.0868844
ordination	0.0837535
weight-loss	0.0836888
prevention	0.0813289
"gun control"	0.0802892
painkiller	0.0798841
"sexually transmitted disease"	0.0784972
celibacy	0.0773096
counseling	0.0764806
Ritalin	0.0756849
pornography	0.0742045
promiscuity	0.0740302
"child care"	0.0731854
pill	0.0730338
"health care"	0.0723275
"mass transit"	0.072251
vaccination	0.0697725
antihistamine	0.0694544
"physical therapy"	0.0683129
"medical care"	0.0681723
Encryption	0.0679331
"health service"	0.0671619
methadone	0.0670097
therapy	0.0667718
acupuncture	0.0663931
adultery	0.0661365
schooling	0.0658235
lifesaving	0.0647412
motherhood	0.0644189
infanticide	0.0636428
immigration	0.0635255
fertilization	0.0635075
sanitation	0.0634854
"substance abuse"	0.0628886
testing	0.0628234
"legal representation"	0.0622644
"vocational training"	0.0618262
voucher	0.0616129
immunization	0.0612794
inhaler	0.061206
hegemonism	0.0608108
"mental health"	0.0605925
hygiene	0.0604847
impotence	0.0601659
"quality control"	0.0601323
nutrition	0.0600922
diaphragm	0.0599739
andro	0.0599485
"death penalty"	0.0598691
viagra	0.0597077
telemedicine	0.0595955
mammography	0.0595345
alcohol	0.0594511
gambling	0.0590097
interferon	0.0584309
"teaching method"	0.0582497
"public transport"	0.0577393
RU-@@@	0.0576582
"land reform"	0.0575681
Indexing	0.0574138
remarriage	0.0573827
protectionism	0.0571547
"day care"	0.0571281
sexuality	0.0569052
nitroglycerin	0.0568452
"marital status"	0.0568408
containment	0.0568145
medication	0.0566628
infertility	0.056508
"prescription drug"	0.0564666
"cosmetic surgery"	0.0564589
"drug abuse"	0.0564124
triage	0.05596
fertility	0.0558119
segregation	0.0555368
"blood transfusion"	0.0554712
literacy	0.0553494
antibiotic	0.0553144
"genetic engineering"	0.0551159
"venereal disease"	0.0550808
screening	0.0543728
desegregation	0.0540422
"free trade"	0.0537133
BoT	0.0533161
smoking	0.0531149
"internal control"	0.0529865
AZT	0.0529541
Erythropoietin	0.052848
monogamy	0.0526639
censorship	0.0526144
Qigong	0.0523406
"crowd control"	0.0521612
tutoring	0.0520852
"conflict resolution"	0.0520154
herpes	0.051843
feminism	0.0517426
"dental care"	0.0515792
conservation	0.0515534
diversification	0.0514664
cohabitation	0.0514627
drilling	0.0513874
phonics	0.0512533
austerity	0.0512173
filtering	0.0511717
pregnancy	0.0509849
homophobia	0.0508496
hormone	0.0508355
"corporal punishment"	0.0508021
self-discipline	0.0507989
bookkeeping	0.0507567
welfare	0.0506762
baldness	0.0505678
propagation	0.0505064
"social activity"	0.0504244
"mother tongue"	0.0501685
racism	0.0501486
deterrence	0.0498854
outreach	0.0497894
decriminalization	0.0497366
healthcare	0.0493721
"social welfare"	0.0493619
stimulation	0.0491984
eradication	0.049007
identification	0.0489675
suicide	0.0489428
assimilation	0.0485147
notification	0.0484883
pronoun	0.0483324
self-help	0.048275
"power politics"	0.0482636
Celebrex	0.0480395
TCM	0.0479976
entrepreneurship	0.0479738
enforcement	0.0479661
"sign language"	0.0479449
marijuana	0.0479424
taxation	0.0478562
governance	0.0476534
teaching	0.0475434
Claritin	0.0475305
HIV/AIDS	0.0474866
morality	0.0474235
aids	0.0473337
"civil rights"	0.0472535
pricing	0.0471346
enhancement	0.0471004
estrogen	0.0470471
Alcoholism	0.0470451
"sexual activity"	0.0469187
tranquilizer	0.0468936
"artificial insemination"	0.046847
placebo	0.0467184
steroid	0.0466807
sampling	0.0464473
reforestation	0.0464395
verification	0.0463329
recruitment	0.0462091
"hypodermic needle"	0.0461971
feeding	0.0461256
eugenics	0.0460332
mammograms	0.045953
storage	0.0459477
seduction	0.0458885
Relenza	0.045866
fitness	0.0458565
"savings account"	0.0458199
sensing	0.0457543
recreation	0.0457453
multiculturalism	0.0457043
"sick leave"	0.0456406
reunification	0.0456235
"freedom of religion"	0.0455505
sedative	0.0453205
"child abuse"	0.0452856
federalism	0.0451551
DSL	0.04515
repatriation	0.0451206
forecasting	0.0450868
creatine	0.0450621
procreation	0.0449724
cortisone	0.0449223
dollarization	0.0448214
amphetamine	0.0447916
authentication	0.0447871
"plastic surgery"	0.0447034
separatism	0.0445986
))
("birth parent" (desc 2125.89) (sims
"foster child"	0.0829591
"foster parent"	0.0764164
grandparent	0.0685057
adoptees	0.0653156
Dumitru	0.0637957
Timmy	0.0613685
deceased	0.0581212
"loved one"	0.057278
abortionist	0.0548332
sender	0.0546801
abductor	0.0541263
chaperone	0.0540273
ILGO	0.0529875
Bunning	0.0521617
hostage-takers	0.0521557
"art teacher"	0.0512001
McGinn	0.0505583
Checo	0.0496929
"Lei Feng"	0.04962
"great grandmother"	0.0494432
Suppan	0.0493384
"job candidate"	0.0488717
extraterrestrial	0.0487251
caregiver	0.0485427
Groscost	0.0484692
"Pacific Lumber"	0.0484188
D'Amico	0.0480304
Merlino	0.0476567
Calvary	0.0472685
"UAL Corp."	0.0471029
Teresi	0.0470921
Franchione	0.0470498
Reimer	0.0470333
Enis	0.0466525
"Eric Robert Rudolph"	0.0465904
Jimy	0.0463143
"Raul Salinas"	0.0463127
Jewell	0.0462276
wrongdoer	0.0459051
Wyeth-Ayerst	0.0457974
"Met Life"	0.0454944
great-aunt	0.0454242
bridegroom	0.0454221
Tuber	0.0454044
in-law	0.0453164
Paulina	0.0450794
"Internet Service Providers"	0.0450324
grandkids	0.045023
Strauss-Kahn	0.0449212
Bedell	0.044573
McVeigh	0.0445394
Karr	0.0444021
Opel	0.0443879
"sense of direction"	0.0442358
Masaoka	0.0441711
Maritz	0.0441637
"dead person"	0.0441545
"foster home"	0.0438642
"boarding pass"	0.0438309
"Eric Rudolph"	0.0433291
Lewises	0.0433239
newborns	0.0431442
Zachary	0.0430266
litigant	0.0429987
Jessica	0.0427486
great-grandchildren	0.0426251
Robison	0.0425091
Gaston	0.0424254
Faget	0.0423057
Fay	0.0422576
"Deep Throat"	0.0422036
"New York Republicans"	0.0421916
"AMR Corp."	0.0419615
Claude	0.0418331
franchisees	0.0418147
DiCarlo	0.0416979
LeFave	0.0415815
Hazelwood	0.0410967
imp	0.0410664
Colangelo	0.040996
Munoz	0.0409917
complainant	0.0408913
Zito	0.0406954
Symington	0.0406911
Gilmour	0.0406344
Deborah	0.0403896
Titleist	0.0403524
student-athlete	0.0403103
Biskind	0.0402554
Lagerfeld	0.0401108
Cortines	0.0400832
Flockhart	0.0400498
))
("birth rate" (desc 11349) (sims
birthrate	0.315482
"fertility rate"	0.269938
"mortality rate"	0.268831
"death rate"	0.268443
"poverty rate"	0.230187
"unemployment rate"	0.202557
"crime rate"	0.198218
"life expectancy"	0.191127
"inflation rate"	0.178683
mortality	0.174222
incidence	0.164182
"rate of inflation"	0.161495
fertility	0.161254
"occupancy rate"	0.160663
"growth rate"	0.155584
unemployment	0.152471
joblessness	0.149882
"retail price index"	0.147954
"rate of growth"	0.14422
caseloads	0.137025
"mortgage rate"	0.13411
"cost of living"	0.130531
"standard of living"	0.129243
"vacancy rate"	0.12915
"labor cost"	0.129122
"voter turnout"	0.126118
"water table"	0.125969
"turnover rate"	0.124776
rate	0.124028
"gas price"	0.123251
"oil price"	0.122821
GDP	0.122537
prevalence	0.121927
enrollment	0.120575
"bond price"	0.120066
"budget deficit"	0.119473
"tax rate"	0.118862
inflation	0.118692
"elephant population"	0.118034
consumption	0.117379
"bank rate"	0.116838
"price index"	0.115709
ratio	0.11528
"consumer price index"	0.114534
"water level"	0.114289
"production cost"	0.113707
"gross domestic product"	0.1126
morbidity	0.112076
viewership	0.111167
"retail price"	0.110856
output	0.11067
"profit margin"	0.10478
"noise level"	0.103493
"steel production"	0.103413
"blood pressure"	0.103405
"operating cost"	0.103265
"interest rate"	0.102238
"trade deficit"	0.101631
illiteracy	0.101189
"factory order"	0.100371
"trade surplus"	0.100368
ridership	0.100315
"selling price"	0.100099
CPI	0.0996947
yield	0.0964854
"oil production"	0.0964613
"cancer death"	0.0960484
"retail sale"	0.095993
growth	0.0955666
"gross national product"	0.0950892
acreage	0.0921406
"test score"	0.0919702
"revenue growth"	0.0919075
density	0.0918598
"drug use"	0.09176
population	0.0915469
income	0.0915448
"heart rate"	0.0915285
"market share"	0.0911106
turnout	0.0910578
"funds rate"	0.0909704
GNP	0.0899946
occupancy	0.0899504
"earning per share"	0.089806
productivity	0.0893685
"dividend yield"	0.089312
"home sale"	0.0888637
"population density"	0.0883006
percentage	0.0881945
"tax revenue"	0.0880377
urbanization	0.0878991
malnutrition	0.0873784
"bond rating"	0.0873249
"export sale"	0.0869335
caseload	0.0868395
pregnancy	0.0867091
"consumer demand"	0.08659
"pretax profit"	0.0863844
"discount rate"	0.0863329
"vehicle sale"	0.0860083
"Producer Price Index"	0.0854369
indices	0.0846942
"insurance premium"	0.0840768
intake	0.0835688
"quality of life"	0.0834418
"tax collection"	0.0831862
"marketing cost"	0.0830307
deficit	0.0827067
wage	0.0825546
employment	0.082396
"earnings growth"	0.0821385
enrolment	0.0821081
birth	0.0820328
"futures price"	0.0815748
"personal income"	0.081558
literacy	0.0815457
"exchange rate"	0.0811046
inventory	0.08107
"Official Development Assistance"	0.0807125
"capital expenditure"	0.0804959
"borrowing cost"	0.0804816
"truck sale"	0.0803132
"key rate"	0.0799245
"money supply"	0.0798387
"aircraft order"	0.0798212
p/e	0.0785461
"interest income"	0.0781548
rating	0.0780392
profitability	0.0779538
delinquency	0.077826
"balance of payments"	0.077515
"net income"	0.0769221
inflow	0.0766796
volume	0.0766169
"employment growth"	0.076425
expenditure	0.0763092
"body temperature"	0.0760719
"rapid growth"	0.0755353
"trade balance"	0.0752082
usage	0.0751482
"wholesale price index"	0.0749418
proportion	0.0747874
"net profit"	0.0745812
attendance	0.0744484
"tax bracket"	0.0742396
fatality	0.0739836
Nikkei	0.0739684
morale	0.0735707
"credit rating"	0.0734923
temperature	0.0734303
"economic condition"	0.0726644
harvest	0.0725451
humidity	0.0724258
NPLs	0.0723764
poverty	0.0720716
rainfall	0.0720225
"labor force"	0.0715012
stockpile	0.0714435
readership	0.0712756
"juvenile delinquency"	0.0711731
"stock market"	0.0708178
emission	0.0706161
"air pressure"	0.0705391
"producer price"	0.0705365
"medicare payment"	0.0703465
"gasoline tax"	0.0699121
"growth prospect"	0.0698871
IQ	0.0694537
rupiah	0.0694344
earnings	0.0694323
index	0.0692907
competitiveness	0.069237
"asset value"	0.0690512
"grade point average"	0.0680605
throughput	0.0674542
smoking	0.067376
revenue	0.0670409
"food supply"	0.0665387
"drug abuse"	0.0664494
"production capacity"	0.0663772
spending	0.0661389
"housing market"	0.0661312
macro-economy	0.0660154
"blood sugar"	0.0659863
circulation	0.0659629
"price increase"	0.0659459
"average cost"	0.0659133
inequality	0.065733
"life insurer"	0.0656035
sales	0.0655665
"Dow Jones Industrial Average"	0.0655025
"flow rate"	0.0654138
"tax income"	0.0653779
capitalization	0.0648761
concentration	0.0647792
"operating expenses"	0.0647503
popularity	0.0644259
"cost structure"	0.0638506
Emigration	0.0638092
probability	0.0637742
))
(birthday (desc 64155.2) (sims
anniversary	0.201263
"wedding anniversary"	0.132153
"National Day"	0.118999
holiday	0.105883
Easter	0.104174
"Father's Day"	0.101259
"Valentine's Day"	0.100269
"Independence Day"	0.0962933
"Veterans Day"	0.0953075
wedding	0.0952286
"New Year's eve"	0.0940184
"Mother's Day"	0.0930551
birth	0.0919175
deadline	0.0897523
"Earth Day"	0.0892582
inauguration	0.0891422
Christmas	0.0887107
celebration	0.0886652
"Chinese New Year"	0.0876143
"New Year"	0.0874215
funeral	0.0864968
"Fourth of July"	0.0855216
date	0.0835753
"national holiday"	0.0825009
"Spring Festival"	0.0811223
graduation	0.0806079
occasion	0.080364
"Labor Day"	0.0769186
"St. Patrick's Day"	0.0768462
"New Year's Day"	0.0760531
Halloween	0.0736425
Death	0.0700302
reunion	0.0683492
election	0.0680818
festival	0.0677692
Thanksgiving	0.0671327
Centenary	0.0664593
"Memorial Day"	0.0661697
Sabbath	0.0656191
coronation	0.0649553
meeting	0.0638139
opening	0.0621257
ceremony	0.0618675
millennium	0.0614858
trip	0.0607592
appearance	0.060172
jubilee	0.0599494
event	0.0599231
centennial	0.0597838
dinner	0.0592731
homecoming	0.0578914
retirement	0.0577728
milestone	0.0562318
session	0.0561487
"election day"	0.056095
vacation	0.0560759
arrival	0.0558275
announcement	0.0557516
"Super Bowl"	0.0552531
summit	0.0547265
eve	0.0540946
"day off"	0.054075
resignation	0.053787
"Christmas Eve"	0.0534916
premiere	0.0534795
victory	0.0532087
"general election"	0.0531844
Ramadan	0.0523993
concert	0.0518233
handover	0.0514814
commemoration	0.0514229
birthplace	0.0510743
primary	0.0508481
appointment	0.0506213
assassination	0.0504739
founding	0.0502039
feast	0.0500372
surgery	0.0500061
parade	0.0496837
prom	0.0493672
killing	0.0489704
opener	0.048861
"first day"	0.0488585
festivity	0.0487194
conference	0.0486775
midnight	0.0482463
suicide	0.0477878
gala	0.0474657
"All-Star Game"	0.0471027
lunch	0.0470131
slaying	0.0469345
convention	0.0466674
debut	0.046355
dawn	0.0457542
"home run"	0.0457466
behalf	0.045605
hearing	0.0453887
marriage	0.0452086
disappearance	0.0449013
"Oct @@"	0.0446669
coup	0.0446623
murder	0.0446233
departure	0.0444964
caucus	0.0440389
signing	0.0439699
"board meeting"	0.0437999
reunions	0.0435211
"Dec @@, @@@@"	0.043409
sellout	0.0432638
career	0.0431674
trial	0.0431651
gathering	0.0431515
"Aug @@"	0.0428355
edition	0.0428284
kickoff	0.0427687
expiration	0.0425392
championship	0.0424325
incident	0.0422767
"summit meeting"	0.0422502
son	0.0422346
speech	0.0422223
portrait	0.0420169
"Jan @"	0.0418847
"holiday season"	0.0417061
completion	0.0416654
"state visit"	0.041633
weekends	0.0414108
shooting	0.0413996
"PGA Championship"	0.0412816
ending	0.0412453
auction	0.0411598
Evening	0.0411513
Execution	0.0411134
mother	0.0410343
statue	0.0410151
"first time"	0.0409351
launching	0.0407953
Grave	0.0403693
luncheon	0.0403422
observance	0.0400934
))
("birthday cake" (desc 2522.15) (sims
matzoh	0.0776279
"layer cake"	0.0744811
"chocolate chip cookie"	0.0739227
"Infantry Battalion"	0.0704045
cupcake	0.0700149
"pumpkin pie"	0.0687255
"dining table"	0.0680687
pinata	0.0679405
"wedding cake"	0.0667844
WINDOWSILL	0.0659
pasty	0.0639868
"chocolate cake"	0.0612039
"loaf of bread"	0.0603668
"wedding reception"	0.0598258
"mushroom cloud"	0.0595941
"birthday gift"	0.0587831
"Bengal tiger"	0.0585727
bunting	0.0573889
"pecan pie"	0.0572923
scone	0.0571708
"pie crust"	0.0563909
"pound cake"	0.0538646
"fortune cookie"	0.0535603
"theater ticket"	0.0528025
muffin	0.0527137
"transport ship"	0.0526618
bagel	0.0525873
"greeting card"	0.0513156
doughnut	0.0512512
croissant	0.0509646
Pudding	0.0505302
brioche	0.0499567
"green pepper"	0.0498973
pancake	0.0496868
"hard-boiled egg"	0.0486124
"birthday present"	0.0480994
brisket	0.0480345
"Lincoln Town Car"	0.0480259
loaf	0.0471636
"beach ball"	0.0471499
tarpon	0.0469601
sparkler	0.0468409
"jelly bean"	0.0466089
latke	0.0462974
takeout	0.0460983
brunch	0.0460913
quiche	0.0459398
woolen	0.0458861
windbreaker	0.0458813
poinsettia	0.0451694
pretzel	0.0451083
comedown	0.0449003
"corned beef"	0.0448074
taco	0.0442627
donut	0.0441548
brownie	0.04384
wafer	0.0437376
"fish fry"	0.0436843
"place setting"	0.0435573
harvester	0.0433459
biscotti	0.0432646
streamer	0.0432375
matzo	0.0431474
meatloaf	0.0430293
"dormitory room"	0.0430071
Hasselbeck	0.0429949
baguette	0.0429845
fruitcake	0.0429073
sheepskin	0.0424138
chessboard	0.0423856
sinkhole	0.0423298
wreath	0.0422862
"fruit salad"	0.0420362
"pet food"	0.0418069
"pot roast"	0.0416512
Lasagna	0.041543
"oil lamp"	0.0414961
"moving van"	0.0412787
"teddy bear"	0.041196
"balanced diet"	0.0411455
"birthday card"	0.0411404
"chocolate mousse"	0.0409406
"pie shell"	0.0406829
grub	0.0402933
confetti	0.0402907
carnation	0.0402619
lox	0.0401937
spinnaker	0.0401819
"candy bar"	0.0400919
kernel	0.0400499
tapa	0.040045
))
("birthday card" (desc 1309.49) (sims
"Christmas card"	0.140183
"greeting card"	0.110313
"personal letter"	0.0951583
"form letter"	0.0913211
"bus ticket"	0.0876209
postcard	0.0832286
playlist	0.0794157
"piggy bank"	0.0790622
"birthday gift"	0.0777341
feeler	0.0730909
"money order"	0.0704318
"Cliffs Notes"	0.068646
"love letter"	0.0670834
"airplane ticket"	0.0647212
"wedding dress"	0.06444
telegram	0.0635579
smooch	0.0627849
"death warrant"	0.0620539
"computer application"	0.0617674
"dog tag"	0.0613346
"name and address"	0.0609918
intranets	0.0604314
"E mail"	0.0601541
mailings	0.0599412
punchline	0.0599328
"hypodermic needle"	0.0597264
"plane ticket"	0.0592814
"Christmas present"	0.0587601
"Up to @.@@ Percent"	0.0584928
missive	0.0575248
"phone book"	0.0560495
"white line"	0.0559903
"tool kit"	0.0556581
sinkhole	0.0551267
"order book"	0.0550269
"boarding pass"	0.0543518
clunker	0.0536392
"wrapping paper"	0.0533362
Lullaby	0.0527357
"public speaking"	0.0526421
"electronic mail"	0.0521382
"mink coat"	0.051969
felicitation	0.0516477
phonics	0.051602
"instruction manual"	0.0513555
zinger	0.0512485
"Christmas gift"	0.0509653
invoice	0.0498413
"jet plane"	0.0497966
verity	0.0496824
"warning signal"	0.0495409
"chocolate chip cookie"	0.0488918
breather	0.04879
"Annie Get Your Gun"	0.0487016
"ZIGMUND PALFFY"	0.048669
printout	0.0486555
"shock wave"	0.0486524
"telephone book"	0.0485654
"promotional material"	0.0484928
"mouse click"	0.0483714
"cold shoulder"	0.0480896
"white person"	0.0480102
"Joe Kleine"	0.0479897
submersible	0.047666
warhorse	0.0474879
"water tower"	0.0474473
"gestation period"	0.0472719
"distress signal"	0.0472501
"breathing space"	0.0470998
sfgate.com	0.0470922
"computer language"	0.0470592
"oil slick"	0.0469769
Duchesne	0.0468965
six-pack	0.0467176
spreadsheet	0.0465556
pinata	0.0465072
"picture postcard"	0.0464543
"train ticket"	0.0464153
"utility program"	0.0462552
"electric current"	0.0462209
fruitcake	0.046098
"dirty joke"	0.0460142
"blank check"	0.0457961
"layer cake"	0.045709
shockwaves	0.0455539
folio	0.0455526
"data link"	0.0455413
scrapbook	0.0454778
comeuppance	0.0454058
first-rounder	0.0454024
"time clock"	0.0453072
"written material"	0.0452595
frittata	0.0452572
anticlimax	0.0451647
"cable car"	0.0450913
"communications satellite"	0.045034
"fishing rod"	0.0449989
"pen pal"	0.044911
Roadrunner	0.0448599
"written language"	0.0447145
"knockout punch"	0.0446957
Promos	0.0446
"Aki Berg"	0.0445793
birdhouse	0.0445725
"round-trip ticket"	0.0445694
"chocolate mousse"	0.0444211
"theater ticket"	0.0443507
dribbler	0.044253
preamble	0.0441453
wrecker	0.0440875
"extension cord"	0.0440838
"Parent Trap"	0.0439949
"hot stock"	0.043865
homepage	0.0437237
Fingerhut	0.0436058
"road map"	0.0435228
"blind spot"	0.0432796
"newspaper advertisement"	0.0432543
"marriage proposal"	0.0432076
intranet	0.043188
"power of attorney"	0.0431155
"dollar bill"	0.0429891
wisecrack	0.0428928
electrocardiogram	0.0427911
hankering	0.0424406
bullfight	0.0424018
homepages	0.042353
"musical score"	0.0422627
Daigle	0.0422355
"promissory note"	0.0420703
"bowling ball"	0.0420466
mockup	0.0420229
"personal appeal"	0.0419812
checklist	0.0419675
"squad car"	0.041961
"three pitchers"	0.041931
stationery	0.041881
guidebook	0.0418709
"transport ship"	0.041763
"sheet music"	0.0417345
yearbook	0.041597
clipping	0.0415575
"data file"	0.0415522
"throwing away"	0.0415488
"can opener"	0.0414022
"blue ribbon"	0.041369
handbill	0.0412987
"word processing"	0.0412866
"birthday cake"	0.0411404
"Secretary General Boutros Boutros-Ghali"	0.0410789
abacus	0.041065
"credit report"	0.0410413
"fishing license"	0.0410412
"long-distance call"	0.040939
jeremiad	0.0409221
"baked goods"	0.0409015
"Chauncey Billups"	0.0407381
"membership card"	0.0406989
Comments	0.0406806
"curtain call"	0.0406583
theocracy	0.0406304
planeload	0.0405926
rulebook	0.0405523
"hole in the ground"	0.0405251
tiller	0.0404646
horoscope	0.0403866
"Market system"	0.0401643
Rolex	0.0401617
"Jorge Fabregas"	0.0401594
zingers	0.0401279
"inaugural address"	0.0401118
"piece of paper"	0.0400451
tranquilizer	0.0400122
floater	0.040009
))
("birthday gift" (desc 1479.99) (sims
"birthday present"	0.200251
"Christmas present"	0.199443
"Christmas gift"	0.163695
"Happy Birthday"	0.0813763
"birthday card"	0.0777341
bequest	0.0713314
"change of mind"	0.0644818
"form letter"	0.0608301
"airplane ticket"	0.060686
"hundred thousand dollars"	0.0602268
lateral	0.0597464
"personal letter"	0.0590959
"birthday cake"	0.0587831
grosser	0.0584284
fillip	0.057553
speller	0.0572898
"marriage proposal"	0.0566983
"Infantry Battalion"	0.0565664
agnostic	0.0544859
"train ticket"	0.0543806
counterbid	0.0542131
knighthood	0.053182
knuckleball	0.052125
feeler	0.0514522
"engagement ring"	0.0512655
"Annual Meeting"	0.0509366
"all clear"	0.0508318
"life preserver"	0.0503751
counteroffer	0.0495159
first-rounder	0.0486258
"takeover offer"	0.0485335
mailing	0.0484849
"job candidate"	0.0477141
"shuttle bus"	0.0476576
missive	0.0475896
accoutrement	0.0475009
"open house"	0.0473932
game.	0.047372
analogue	0.0472666
go-between	0.0469802
summons	0.046919
anagram	0.0467669
"race horse"	0.0466525
"speeding ticket"	0.0464444
"warning signal"	0.0461212
placekicker	0.0457055
"personal loan"	0.0456526
easier	0.045581
"distress signal"	0.0453132
"tool kit"	0.045216
quarterfinalists	0.045205
stopgap	0.0450276
playroom	0.0449559
"cold shoulder"	0.0449109
jeremiad	0.0442372
"letter of credit"	0.0439105
"personal appeal"	0.0439044
elegy	0.043776
"a few words"	0.0437528
"annual payment"	0.0434588
AZT	0.0433858
keepsake	0.0432681
"a few thousand dollars"	0.0431437
"secret plan"	0.0430556
Requests	0.0428269
murder-suicide	0.0426352
"car door"	0.0426156
sop	0.0424513
flack	0.0422507
cakewalk	0.0420204
stumping	0.0419577
"Christmas card"	0.04175
"money order"	0.041731
exoneration	0.0415704
"cash bonus"	0.0415405
"laying claim"	0.0415335
"membership card"	0.0414298
"Special Adviser"	0.0414041
"won-lost record"	0.0413702
"bus ticket"	0.0412268
"fur coat"	0.0412246
"railroad car"	0.0411951
"piece of furniture"	0.0410565
"Rolls-Royce Motor Cars"	0.0408601
epitaph	0.0407961
coda	0.040789
"waiting game"	0.0406958
"Thank God"	0.0406733
"American plan"	0.040624
Panchen	0.0401379
"art student"	0.0400373
"compromise plan"	0.0400022
))
("birthday present" (desc 3187.99) (sims
"birthday gift"	0.200251
"Christmas present"	0.194035
"Christmas gift"	0.170601
"blank check"	0.129362
fillip	0.101596
send-off	0.0995565
"wedding anniversary"	0.0927628
"Infantry Battalion"	0.0924668
"all clear"	0.090888
"Annual Meeting"	0.0906585
sendoff	0.0879483
"World Health Assembly"	0.0835555
"speeding ticket"	0.0819245
AMM	0.0812839
"piece of work"	0.0788236
"morale booster"	0.0748835
"warning signal"	0.0744589
"Ministerial Meeting"	0.0725664
compliment	0.0702905
psalm	0.070167
percentile	0.0690155
"round of golf"	0.0679217
"positive feedback"	0.0667301
"bill of health"	0.0662928
no-brainer	0.0659362
"popularity contest"	0.0640847
"God's Will"	0.063428
encouragement	0.0619517
nonevent	0.060482
freebie	0.0603996
"breathing room"	0.0602236
smooch	0.0602052
double-double	0.0596699
"foregone conclusion"	0.0590777
"personal appeal"	0.0585006
"cold shoulder"	0.0584132
disservice	0.0581925
epitaph	0.0573059
"ASEAN Ministerial Meeting"	0.0571969
"clean slate"	0.0570401
up-and-down	0.0569011
"short shrift"	0.0566032
bequest	0.0564812
"engagement ring"	0.056215
"power of attorney"	0.0560326
copout	0.055544
"breathing space"	0.0550543
"seal of approval"	0.0550352
"personal letter"	0.0548499
"time of day"	0.0547884
"history lesson"	0.054658
inheritance	0.0545966
homecoming	0.0544237
eulogy	0.0540927
"line of work"	0.0539508
"frame of mind"	0.0539345
validation	0.0535432
"sounding board"	0.0532937
"carte blanche"	0.0532882
residual	0.0532217
"stage name"	0.0530704
feedback	0.0525669
"piano lesson"	0.0521428
"peace of mind"	0.0520578
ovation	0.0520354
UPC	0.0520337
inkling	0.0519454
"major league season"	0.0513521
"triple play"	0.0512697
"hole in the ground"	0.0512451
omen	0.0512071
vindication	0.0510565
goodbye	0.0508315
Awakening	0.0503091
"form letter"	0.050275
"wedding ring"	0.0499356
"black eye"	0.0498988
affirmation	0.0498658
farewell	0.0496172
"Infantry Division"	0.048944
postscript	0.0488701
soulmate	0.0488698
"goose bumps"	0.0488421
"International Conference"	0.0487983
"Emmy Awards"	0.0487914
knuckleball	0.0483187
"birthday cake"	0.0480994
motivator	0.04791
grosser	0.047881
anticlimax	0.0478144
"sour grapes"	0.0476153
"pain in the neck"	0.0475193
"measuring stick"	0.047337
"vantage point"	0.0472016
"World Congress"	0.0471038
"standard operating procedure"	0.0467224
"order form"	0.0465079
"choice of words"	0.0465072
make-over	0.0463462
toehold	0.0462583
turnabout	0.046172
capstone	0.046074
IOU	0.0459121
"child support"	0.0458659
game.	0.0458367
"job candidate"	0.0457953
"Happy Birthday"	0.0456143
"airplane ticket"	0.0453898
easier	0.0453695
thumbs-up	0.0453347
goosebumps	0.0453221
"round-trip ticket"	0.0453037
"smoke screen"	0.0452179
"chess game"	0.0452082
photojournalist	0.0452081
"name and address"	0.0449802
"bear hug"	0.04482
"down payment"	0.0446622
comedown	0.0446188
okay	0.0445907
tip-off	0.0445261
accompanist	0.0445197
"face lift"	0.04437
Mulligan	0.0443055
"adventure story"	0.0442973
"Millrose Games"	0.0441483
spanking	0.0438686
"stepping stone"	0.0438653
"great year"	0.0438164
reprieve	0.0437631
"piece of land"	0.0437077
"Christmas card"	0.0436827
"high time"	0.0434532
haircut	0.0434367
handout	0.0432936
"piece of music"	0.0432575
"day of rest"	0.0432423
moniker	0.043242
Lowdown	0.0432013
"Grammy Awards"	0.0429645
heartening	0.0429302
statuette	0.0428926
hairstylist	0.042881
"green light"	0.042848
misnomer	0.0427434
"trial balloon"	0.0424945
earful	0.0424511
"coat of paint"	0.0423896
payback	0.0423448
"eye opener"	0.0423219
errand	0.0422793
foothold	0.0422162
walkover	0.0421469
"marriage proposal"	0.0420156
souvenir	0.0419717
"second tour"	0.0419298
missive	0.0418815
"time of year"	0.0418131
speller	0.0418059
"elbow room"	0.0417251
"boarding pass"	0.04172
"hiding place"	0.0417007
pitchman	0.0416713
approximation	0.041593
memento	0.0415265
"cash bonus"	0.0414381
"fresh start"	0.0414212
"first exposure"	0.0414027
painkiller	0.0413769
"tall order"	0.041328
travesty	0.0413268
accolade	0.0412795
"sparkling wine"	0.0412276
"public speaker"	0.0411781
bigger	0.0411281
"running shoe"	0.0411013
pleaser	0.0410916
changeup	0.041085
mammogram	0.0410511
"picture frame"	0.04104
"state of affairs"	0.0410229
NTR	0.0409493
change-up	0.0409313
"curtain call"	0.040827
Emmys	0.0408073
"chess player"	0.0407708
"one million dollars"	0.0407363
tutorial	0.0406917
"second fiddle"	0.0404631
"race horse"	0.0404527
coda	0.0403106
"safety feature"	0.0402574
"Good Book"	0.0402498
"progress report"	0.0402385
knockout	0.0402291
"opening line"	0.0400549
))
(birthplace (desc 25657) (sims
cradle	0.105464
tomb	0.0741036
hometown	0.0733738
shrine	0.063973
hotbed	0.0578892
Crucifixion	0.0560509
mausoleum	0.0542424
"holy place"	0.0537598
stronghold	0.0534631
statue	0.0531273
temple	0.0529102
palace	0.0528092
destination	0.0526194
birth	0.0519616
birthday	0.0510743
graveyard	0.0506721
ruin	0.0501363
residence	0.0491404
monument	0.0483953
reincarnation	0.0475021
Castle	0.0473478
teaching	0.0471529
"financial center"	0.0470636
hub	0.0461884
Monastery	0.0459406
cemetery	0.0458915
footstep	0.045876
homeland	0.0450898
landmark	0.0450635
Mecca	0.0449479
bastion	0.0447221
"Western Wall"	0.0445382
Cathedral	0.0444848
attraction	0.0437758
Grave	0.0434067
grotto	0.0432856
legacy	0.043209
descendant	0.042375
memorial	0.0418983
powerhouse	0.0415702
relic	0.0414603
ancestor	0.0411922
ideal	0.0409351
heartland	0.0406647
venue	0.0404955
heritage	0.0404603
mansion	0.040307
metropolis	0.0402486
))
(birthrate (desc 2998.42) (sims
"birth rate"	0.315482
"fertility rate"	0.232046
"mortality rate"	0.181674
"death rate"	0.160063
caseloads	0.155804
"poverty rate"	0.154498
"water table"	0.145461
"crime rate"	0.143457
"unemployment rate"	0.133194
"life expectancy"	0.127268
"occupancy rate"	0.125166
"vacancy rate"	0.123386
mortality	0.118402
"turnover rate"	0.111723
joblessness	0.108509
"gas price"	0.10634
"standard of living"	0.104945
"elephant population"	0.104745
"mortgage rate"	0.102929
"cost of living"	0.102336
"population density"	0.101106
"noise level"	0.0994144
"inflation rate"	0.0991174
unemployment	0.0987187
caseload	0.0984573
enrolment	0.0979671
enrollment	0.0952298
incidence	0.0949975
"voter turnout"	0.0930707
"bond rating"	0.0920425
"rate of inflation"	0.0908125
"test score"	0.0906095
"production cost"	0.09051
"rate of growth"	0.0882528
fertility	0.0881215
"retail price index"	0.0878271
"labor cost"	0.087555
"borrowing cost"	0.0864912
"oil price"	0.0859838
viewership	0.0853693
"bank rate"	0.0853437
"pay rate"	0.0837574
"selling price"	0.0834269
"tax bracket"	0.0802905
ridership	0.0802889
"Official Development Assistance"	0.0800218
"operating cost"	0.0783468
"water level"	0.0775594
prevalence	0.0772213
capitalisation	0.0771007
"body temperature"	0.0767403
"dividend yield"	0.0764212
homelessness	0.0758407
NPLs	0.0754203
"insurance premium"	0.075013
"gasoline tax"	0.0747869
"New Zealand dollar"	0.0747452
"tax base"	0.0741371
"factory order"	0.0735881
"Philippine Stock Exchange Index"	0.0734081
"cost structure"	0.0727871
"dollar amount"	0.0726966
"marketing cost"	0.0725393
tallest	0.0722992
"retirement age"	0.0721656
"growth rate"	0.0715687
fastest-growing	0.0714808
"Canadian dollar"	0.0710774
"steel production"	0.0709557
"interest expense"	0.0708775
"medicare payment"	0.0705841
IQ	0.070324
GDP	0.0701289
literacy	0.0699778
"bond price"	0.0695023
"heart rate"	0.0693728
homeownership	0.0691754
"take-home pay"	0.0689429
RPI	0.0689149
Fares	0.0685692
"aircraft order"	0.0676424
"trade deficit"	0.0672155
"common denominator"	0.067111
"purchase price"	0.0668446
"export sale"	0.0664252
p/e	0.0664213
"land area"	0.0663764
"national income"	0.0663341
density	0.0656476
"blood pressure"	0.0656312
"personal income"	0.0655597
"flow rate"	0.0650422
turnout	0.0650366
"trade surplus"	0.0646748
"center of gravity"	0.0645156
absenteeism	0.0642737
illiteracy	0.0639481
"credit rating"	0.0633923
"profit margin"	0.0633249
"vehicle sale"	0.0631624
"tax rate"	0.0630024
cheapest	0.0627945
"retail price"	0.0627685
salinity	0.0622179
"management fee"	0.0620929
"Nikkei Stock Average"	0.0620737
"electric bill"	0.0619158
"air pressure"	0.0613332
"income bracket"	0.0613021
intake	0.0610036
"gross domestic product"	0.0609965
GNP	0.0607405
threshhold	0.0606653
"price index"	0.0606112
lifespan	0.0606082
"earning per share"	0.0604714
CPI	0.0595137
morale	0.0593642
"budget deficit"	0.059328
"trade barrier"	0.0590255
"admission price"	0.0588947
"consumer demand"	0.0588711
urbanization	0.0583927
downslide	0.0583225
"oil production"	0.0581195
"discount rate"	0.0578379
Nikkei	0.0577644
"Singapore dollar"	0.0576666
esteem	0.0576477
"funds rate"	0.057247
"property tax"	0.0567977
"Tokyo Stock Price Index"	0.0566603
"gross national product"	0.0564717
third-largest	0.0563094
TAXES	0.0562003
"operating expenses"	0.0557246
"tax income"	0.0556632
polluter	0.0555393
achiever	0.0555045
"tax collection"	0.05538
"baby boom"	0.0551203
"labor force"	0.0550462
"blood sugar"	0.0548943
"social status"	0.0548181
"grade point average"	0.0547811
readership	0.0547319
STI	0.0547209
"living space"	0.0547068
"key rate"	0.0546628
headcount	0.0544903
"batting average"	0.0544444
"non-performing loans"	0.0544306
occupancy	0.0544264
"quality of life"	0.0544112
"tax revenue"	0.0543677
"South Korean won"	0.0543575
third-highest	0.0537767
"drug trade"	0.0537115
"debt load"	0.0536738
"pretax profit"	0.0535763
co-payment	0.0535503
"market share"	0.0534818
"average cost"	0.0534347
"retail sale"	0.0534277
"foreign direct investment"	0.0531903
Pe	0.0531645
"Straits Times Index"	0.0529701
rand	0.052898
"brain drain"	0.0525948
"home sale"	0.0522377
delinquency	0.0522013
second-largest	0.0521411
hemline	0.0519316
added-value	0.0516636
"interest income"	0.0516421
"business establishment"	0.0514973
"price increase"	0.0514351
ODA	0.0512965
airfare	0.0512844
"Philippine peso"	0.0510441
"consumer price index"	0.0509572
peso	0.0509142
self-esteem	0.0507891
"drug problem"	0.0506541
"asset value"	0.0504879
utilization	0.050405
"Second Board Index"	0.0503484
"producer price"	0.0503101
"juvenile delinquency"	0.050086
humidity	0.0498487
capitalization	0.0497316
"News Corp"	0.0496249
co-payments	0.0496117
downdraft	0.0495977
"urban sprawl"	0.0494143
CAC	0.0493474
"futures price"	0.049347
"cultivated land"	0.0493231
neckline	0.0492877
"sticker price"	0.0491196
))
(birthright (desc 3870.28) (sims
"foregone conclusion"	0.0640315
toss-up	0.0597932
"gold standard"	0.056927
Patrimony	0.0559964
"almost two-thirds"	0.0553435
avocation	0.0552369
untouchable	0.0536455
wipeout	0.0534523
has-been	0.0501898
omen	0.0488148
lovefest	0.048723
"pain in the neck"	0.0483398
"double agent"	0.0481733
maltreatment	0.0479223
Vocation	0.0477199
heretic	0.0476486
pariah	0.0471233
prerequisite	0.0464884
"hot potato"	0.0464448
"decisive factor"	0.0462689
non-issue	0.0462177
aphrodisiac	0.0461134
"Sixty-five percent"	0.0458944
"mirror image"	0.0456167
shoo-in	0.0452492
traitor	0.0450572
"Eighty-five percent"	0.044634
soulmate	0.0445356
"right to vote"	0.0445022
affront	0.0442149
"Garden of Eden"	0.0441414
"Forty percent"	0.0437009
afterthought	0.0436987
theirs	0.0436714
"More than three-quarters"	0.0432584
greatest	0.0431611
"long shot"	0.0428661
fluke	0.0428315
breadwinner	0.0427222
automaton	0.0426618
protectorate	0.0425688
"accounting problem"	0.0421348
weakling	0.042059
catechism	0.0417117
"cross section"	0.0416366
enumeration	0.0415484
"law of nature"	0.0411353
"parliamentary democracy"	0.0411342
"bread and butter"	0.0410408
prophet	0.0409647
"legal right"	0.040911
subset	0.0407665
"Ninety-five percent"	0.0406588
yardstick	0.0405776
"Nearly three-quarters"	0.0403917
subconscious	0.0403676
nonentity	0.0403302
))
(biscotti (desc 2282.55) (sims
scone	0.15672
croissant	0.150919
granola	0.148567
cooky	0.13609
cupcake	0.128367
brownie	0.124269
"pound cake"	0.123597
muffin	0.117218
pastry	0.116598
cheesecake	0.116068
"chocolate chip cookie"	0.11535
Souffle	0.106332
matzoh	0.102159
shortbread	0.102079
"cream puff"	0.100872
cake	0.100469
crepe	0.100426
liqueur	0.100101
biscuit	0.0996709
"pecan pie"	0.0983774
"baked goods"	0.0961679
"pie crust"	0.0929053
cookie	0.0914005
bun	0.0905583
cappuccino	0.0891776
"ice cream"	0.0890615
mousse	0.085841
toffee	0.0848916
"chocolate cake"	0.0836102
meringue	0.0833133
pie	0.0826411
doughnut	0.0825449
pancake	0.0815077
brioche	0.0805482
spaetzle	0.0801379
crust	0.0795625
Lasagna	0.0783314
sorbet	0.0779568
Pudding	0.0775837
pizza	0.0773304
"french fries"	0.0772299
croutons	0.0771104
"apple pie"	0.0768139
"about @/@ cup"	0.0767211
"iced tea"	0.0763292
flan	0.0758781
"potato chip"	0.075688
fudge	0.0753947
tortilla	0.0739627
polenta	0.0739002
"sparkling wine"	0.0738856
loaf	0.0737466
waffle	0.0737363
custard	0.0730673
latke	0.0723501
"pumpkin pie"	0.0719813
cracker	0.0718627
"goat cheese"	0.0715625
"snack food"	0.0710811
bagel	0.0707761
TART	0.0705425
mozzarella	0.0705079
praline	0.069953
"chocolate mousse"	0.0697945
porridge	0.0694716
quiche	0.0681946
torte	0.0681587
almond	0.0676555
dessert	0.0675916
cider	0.0674321
baguette	0.0671442
espresso	0.0660201
gnocchi	0.0656982
"hot chocolate"	0.0652152
cutlet	0.0650813
fruitcake	0.0640965
canape	0.0640931
"barbecue sauce"	0.0635317
Topping	0.0633865
ravioli	0.0630041
"pie shell"	0.062986
meatball	0.0628301
"root vegetable"	0.0625292
pretzel	0.0624932
"layer cake"	0.0616067
POTATOES	0.0608468
hazelnut	0.0608458
phyllo	0.0607577
cereal	0.0606707
coleslaw	0.0605364
"spaghetti sauce"	0.0600223
latte	0.0597426
risotto	0.0592738
lemonade	0.0592382
macaroni	0.0589793
vinaigrette	0.0582236
"whipped cream"	0.0582051
"vegetable soup"	0.0580469
salsa	0.0580158
"white meat"	0.0579472
"macadamia nut"	0.0578198
pasta	0.0574147
wafer	0.0573358
salami	0.0570407
snack	0.056856
pesto	0.056835
dumpling	0.0564243
brisket	0.0563126
pasty	0.0558765
"macaroni and cheese"	0.0554872
gruel	0.0546471
"potato salad"	0.0545051
truffle	0.0544914
COBBLER	0.0537317
concoction	0.053595
hummus	0.0535293
crostini	0.0533926
condiment	0.0532649
fig	0.0530635
panko	0.0526722
"dried fruit"	0.0522739
matzo	0.0515032
"tomato sauce"	0.0514938
pistachio	0.0512105
"pine cone"	0.0511867
"pine nut"	0.0510708
meatloaf	0.0509201
plantain	0.0507124
ketchup	0.0503355
molasses	0.0502636
milkshake	0.0500106
morsel	0.0497059
Tamale	0.0496426
walnut	0.0496395
shortcake	0.0494013
enchilada	0.0492719
shredders	0.0490509
"cake mix"	0.0490013
"hard-boiled egg"	0.0489517
omelette	0.0486582
"morse code"	0.0485339
"soda pop"	0.0484103
chorizo	0.0479484
"French bread"	0.0479167
"chicken breast"	0.0474702
donut	0.0474433
flavoring	0.0473405
caviar	0.0473255
Calvados	0.0471069
confection	0.0467965
sundae	0.04672
"sweet potato"	0.0466931
bonbon	0.0464992
"tortilla chip"	0.046302
taco	0.0460001
"Caesar salad"	0.0459983
"white bread"	0.0453519
legume	0.045292
eggplant	0.0452698
mascarpone	0.0451236
peach	0.0450337
pickle	0.0450132
frankfurter	0.0449916
sausage	0.0447058
fillet	0.0446226
"Easter egg"	0.0444875
"hot dog"	0.0444692
"white wine"	0.0444396
RHUBARB	0.0443681
ramekins	0.044303
sleepovers	0.0442887
sashimi	0.0442035
"pork loin"	0.0441901
applesauce	0.0440788
"salad dressing"	0.0440368
zucchini	0.0440362
Fondue	0.0439958
lox	0.0439642
spaghetti	0.043686
"vanilla ice cream"	0.0436338
cornbread	0.043596
gravy	0.0435718
popsicle	0.0435216
veggie	0.043346
"birthday cake"	0.0432646
asparagus	0.0432282
"Easter bunny"	0.0432084
prosciutto	0.0431685
kumquat	0.0428643
"orange juice"	0.0427169
"peanut butter"	0.0427027
pecan	0.0425775
mayonnaise	0.0423104
breadcrumb	0.0418931
Casserole	0.0418472
fennel	0.0418305
brandy	0.0417488
"powdered milk"	0.0416505
tapa	0.0416283
"key rate"	0.0415435
))
(biscuit (desc 19943.4) (sims
bread	0.195026
pancake	0.177921
cooky	0.172327
cake	0.166486
muffin	0.163527
scone	0.152764
sausage	0.147154
cracker	0.146338
pastry	0.144676
Pudding	0.144333
cereal	0.142754
cheese	0.142151
doughnut	0.141046
cookie	0.137008
soup	0.136782
croissant	0.135929
bean	0.134986
porridge	0.134769
pie	0.133686
potato	0.132534
noodle	0.132062
brownie	0.131876
milk	0.131576
sandwich	0.130433
tortilla	0.129096
pasta	0.126469
salad	0.125007
egg	0.125001
cornbread	0.124743
"ice cream"	0.124268
"powdered milk"	0.122819
"fruit juice"	0.122809
meat	0.120366
"cooking oil"	0.119168
"canned food"	0.118577
gravy	0.116997
chicken	0.116871
fruit	0.11542
bagel	0.115102
pizza	0.114907
tea	0.11478
ham	0.113839
vegetable	0.113575
flour	0.113223
snack	0.113169
coffee	0.112895
"dairy product"	0.112417
onion	0.112001
soda	0.110684
"pie crust"	0.109943
"French toast"	0.109849
cupcake	0.109604
tomato	0.108483
dessert	0.108369
cheesecake	0.108226
"wheat flour"	0.108206
candy	0.107341
rice	0.107159
chocolate	0.106657
steak	0.106581
"peanut butter"	0.106403
butter	0.106034
yogurt	0.106021
bacon	0.10458
pork	0.104287
"french fries"	0.104147
"green salad"	0.103715
"macaroni and cheese"	0.103705
margarine	0.103595
oatmeal	0.103335
"soft drink"	0.102554
"milk powder"	0.101912
shrimp	0.100477
sugar	0.100464
"iced tea"	0.100375
biscotti	0.0996709
pea	0.0993325
seafood	0.0988382
"snack food"	0.0986768
juice	0.0975171
loaf	0.0970813
corn	0.0970756
dough	0.097022
"chocolate cake"	0.0967894
quiche	0.0964149
meatloaf	0.0962878
Chili	0.0961334
"scrambled egg"	0.096012
Souffle	0.0959774
spaghetti	0.0957847
sweet	0.0956393
lentil	0.0955596
popcorn	0.0952876
"baked goods"	0.0950339
waffle	0.0949013
"orange juice"	0.094777
"sweet potato"	0.0945885
TART	0.0945395
buttermilk	0.0940618
beef	0.093645
meatball	0.0933744
drink	0.0933141
"cake mix"	0.0930249
sauce	0.0927183
food	0.0925961
"vegetable oil"	0.0924732
omelet	0.0922665
custard	0.0915578
Casserole	0.0908497
dumpling	0.0905723
"roast beef"	0.0902983
"tomato sauce"	0.0896965
spice	0.0887087
broth	0.0885218
shortcake	0.0882047
banana	0.0881667
crust	0.0880786
Lasagna	0.0880251
honey	0.0879946
dish	0.087718
toast	0.0871602
plantain	0.0869596
"chocolate chip cookie"	0.0864262
pickle	0.0863652
"sour cream"	0.0861596
nut	0.0859189
"pumpkin pie"	0.0857507
cocoa	0.0854471
"chicken broth"	0.0853993
"cold cuts"	0.085355
cabbage	0.0853089
crepe	0.0851608
bun	0.0851101
mushroom	0.0850997
Hamburger	0.0845439
stew	0.0844487
barley	0.0843373
macaroni	0.0842037
beverage	0.0841588
"potato salad"	0.0839991
fish	0.0838457
gumbo	0.0838442
caviar	0.0835491
lemonade	0.0834403
appetizer	0.0833583
cream	0.0831403
polenta	0.0828484
"potato chip"	0.0827347
grit	0.0824919
cider	0.0824843
slice	0.0824782
ravioli	0.0823351
"white rice"	0.0823059
"vegetable soup"	0.0820662
jelly	0.0819982
Beer	0.0818953
pepper	0.0818496
"canned goods"	0.0818345
pineapple	0.0818212
"collard greens"	0.0816927
stuffing	0.0816582
chop	0.0816008
cutlet	0.0815252
FRY	0.0814211
"citrus fruit"	0.0813045
burgers	0.0812376
pumpkin	0.0812332
COBBLER	0.0809347
tuna	0.0802414
foodstuff	0.080169
pretzel	0.0801065
lettuce	0.0799522
"chicken breast"	0.0798699
mayonnaise	0.0797372
"goat cheese"	0.0797323
crumb	0.0793346
mutton	0.0788113
lard	0.0785895
"Caesar salad"	0.0781968
"dried fruit"	0.0781073
"hot dog"	0.0778542
peanut	0.0777343
applesauce	0.0776963
meal	0.0775362
syrup	0.0769584
carrot	0.0769535
yam	0.0769507
"egg yolk"	0.0767915
Topping	0.0767449
"cream puff"	0.076267
"green bean"	0.0761774
dressing	0.0761728
yeast	0.0761037
wine	0.0760824
vanilla	0.0760469
frosting	0.0758225
brisket	0.0757888
salt	0.0757461
Garlic	0.0756683
"brown sugar"	0.0755483
))
(Bisek (desc 1542.48) (sims
"Callista Bisek"	0.258833
Mapes	0.193435
Faget	0.136425
Salinger	0.130753
Blumenthal	0.130584
Colburn	0.128829
Portnoy	0.119792
LeFave	0.118975
"Sidney Blumenthal"	0.118698
Felten	0.116805
Shulman	0.1133
Kagalovsky	0.11146
Harris-Lewis	0.111186
Eappens	0.109004
Waxman	0.108808
Stayner	0.107563
Capano	0.106321
Soliah	0.106086
Cisneros	0.105392
"Marianne Gingrich"	0.105192
Schmalensee	0.103949
Mohamed	0.103325
Ratner	0.102938
"Russell Peeler"	0.102865
Valenzuela	0.102623
DeBartolo	0.100892
Hagen	0.100411
Martorano	0.0996847
"Maturino Resendiz"	0.0996433
Farber	0.0989813
Berenson	0.0987922
Yoo	0.0987038
Kiareldeen	0.0979169
Schott	0.0968678
Natale	0.0966455
Sorensen	0.0966118
Bakaly	0.0965507
"Bruce Lindsey"	0.0962478
Papon	0.0953857
Flemmi	0.0952546
Meskini	0.0949099
Seligman	0.0947453
Kurtz	0.0945358
Imelda	0.0937922
"Monica S. Lewinsky"	0.0934706
Hamlin	0.0932776
Murr	0.0927974
Mucha	0.0924169
Hiett	0.0916303
COYNE	0.0916168
Ramseys	0.0916008
Einhorn	0.0913974
Alves	0.0904739
Naumann	0.0904166
Wasserstein	0.0900847
Lipstadt	0.0899231
Maritz	0.0899227
Slaney	0.0894822
Chukwu	0.0894112
Kodikian	0.0893678
Trie	0.0883944
Upshaw	0.0882787
McDougal	0.0879461
Abram	0.0864224
Quackenbush	0.0861938
Jenoff	0.0860642
hale	0.0857807
Cleary	0.0854092
Jewell	0.085014
Willey	0.0849659
Imperatori	0.0848323
Pape	0.0847861
Neulander	0.084353
Rivlin	0.0842777
Gannon	0.0842277
Orton	0.0838209
Greco	0.0834843
Tevanian	0.0833148
Carruth	0.083236
Gilman	0.0831303
"Vernon Jordan"	0.083102
Lindsey	0.0824009
Kambanda	0.0823124
Tong	0.082306
Deutch	0.0812618
Baer	0.0811946
"Newt Gingrich"	0.0808597
Boehner	0.0805376
Kurth	0.0800583
"Gennifer Flowers"	0.0800222
Gaffney	0.0799592
Symington	0.0798619
Whaley	0.0798544
Kimeses	0.0798403
Scruggs	0.0797046
Nikitin	0.0792367
Suarez	0.0792336
Odeh	0.0790493
Machel	0.0788722
O'Neil	0.0787786
Barad	0.0785431
Caddell	0.0783521
Donohue	0.0782459
Slatkin	0.0781602
Adair	0.0780868
Catacosinos	0.0780214
Hubbell	0.0778667
Schweitzer	0.0778039
Flockhart	0.0777534
Egan	0.0776972
Eizenstat	0.0776946
Knapp	0.0776633
Garofalo	0.077512
Schaeuble	0.0773491
Duff	0.0769792
Baucus	0.076846
Briscoe	0.0768384
Pirro	0.0766297
Daniels	0.0765632
Adkins	0.0762656
McWilliams	0.0760395
Boyle	0.0760385
Chenoweth	0.0759926
Wiggins	0.0758462
Koop	0.0755914
Currie	0.0755521
"McCaughey Ross"	0.0753675
Ricart	0.0753537
Vasquez	0.0753427
Rosenthal	0.0753141
Northup	0.0753107
Allchin	0.0752279
Bowen	0.0751661
Jaffe	0.0749809
Laudrup	0.0747642
Mikhailov	0.0747078
Sheinbein	0.0743922
Greenwald	0.0742032
peeler	0.0741746
Fay	0.0741501
"Michael Skakel"	0.0740893
Cline	0.0738569
Sills	0.0738456
Betts	0.073833
Meyers	0.0738243
Faulder	0.073787
Ickes	0.0736342
Rosen	0.0733258
Shriver	0.0730364
Molinari	0.0729282
Kusama	0.072906
Lazaro	0.0726721
Schafer	0.0725113
Grossberg	0.072367
bock	0.0722953
Quintero	0.0722042
"Juan Miguel"	0.072133
refusals	0.0716329
Ding	0.0714937
"married man"	0.0714149
Lileikis	0.0713789
Fortier	0.0713269
Horne	0.0713181
Boardman	0.0713177
"Patsy Ramsey"	0.0712847
Garber	0.0711915
Ota	0.0711171
Lari	0.0709602
Woodward	0.0707656
Hickman	0.0707638
Jagger	0.0705274
Bassett	0.0704934
Lazarenko	0.070467
Mudge	0.0703379
Ackerman	0.0702553
Snowe	0.0700877
Ono	0.0700689
Fiorina	0.0698832
Garza	0.0698816
Lehmann	0.069878
Patton	0.069765
Moscoso	0.0696599
Farrell	0.0696588
Brock	0.0696138
Rubinstein	0.0695789
Tripp	0.0694926
Citron	0.069384
Liston	0.0693562
"J.D Salinger"	0.0693316
Herrera	0.069322
Ricci	0.0692875
Alioto	0.0691826
Shipman	0.0690443
Phelps	0.0689739
Bettman	0.0689718
Rowley	0.0689043
Weizman	0.0688014
Stacy	0.068779
Kelso	0.0687709
Talebi	0.0686832
))
(bisexual (desc 1692.88) (sims
lesbian	0.144466
transsexual	0.142245
heterosexual	0.132007
"AIDS activist"	0.129351
hemophiliac	0.107723
non-Catholic	0.0986502
homosexual	0.0934021
pervert	0.0909656
"people of color"	0.0798727
transvestite	0.0789777
cross-dresser	0.0783233
"drug addict"	0.0693435
Ijaw	0.0689428
"drug user"	0.0676505
queer	0.0632503
"married man"	0.0601879
"trade unionist"	0.0599264
"Ken Saro-Wiwa"	0.0598378
homophobia	0.0538512
"Jehovah's Witnesses"	0.0532977
"married woman"	0.051316
"AIDS patient"	0.0506736
atheist	0.0503051
"Royal Government"	0.0490493
complainant	0.0487354
Taoist	0.0481031
Ife	0.0478051
leaver	0.04712
"juvenile delinquent"	0.0447251
lesbianism	0.0443054
Hooker	0.0425657
Bi	0.0421727
panhandler	0.0419635
Figgis	0.0416583
"day laborer"	0.0416052
"straight man"	0.0412578
"social scientist"	0.040913
scalpers	0.040711
"union worker"	0.0405217
snakehead	0.0400101
))
(Bishara (desc 888.276) (sims
Rais	0.142949
Zhirinovsky	0.132065
Xanana	0.131538
Meguid	0.128028
Kesri	0.121321
Nateq-Nouri	0.119219
"Alejandro Toledo"	0.11895
Babitsky	0.116396
Ashrawi	0.115886
Aleman	0.115443
Constantinescu	0.114796
Ershad	0.113051
"Yossi Sarid"	0.112925
Sezer	0.111342
Arens	0.109903
Kazhegeldin	0.109136
Bhattarai	0.108031
Rau	0.107528
Gosper	0.105606
Kerasiotes	0.105551
Arad	0.103873
Alves	0.103371
Kato	0.101699
Anand	0.101245
Markovic	0.101184
Izetbegovic	0.100136
"John Anderson"	0.0980193
Seleznyov	0.0978388
Supachai	0.0974841
Mordechai	0.0971927
Guterres	0.0954263
Aliev	0.0951044
"President Lee Teng-hui"	0.0950706
Klestil	0.0949784
"Yitzhak Mordechai"	0.0946956
Stoyanov	0.0946646
Gusmao	0.0933612
Shaath	0.0933544
Koirala	0.0931639
Diouf	0.0929868
Serra	0.0926637
Bruton	0.090775
Poplasen	0.0906323
Menchu	0.0905754
Kang	0.0902413
Masire	0.0892283
Baumhammers	0.088996
Duisenberg	0.0881
Muluzi	0.0868649
Ouattara	0.0868092
Gutman	0.086407
Krajisnik	0.0861615
Advani	0.0860111
"Vojislav Kostunica"	0.0859589
"Faisal Husseini"	0.0858841
Ibrahim	0.0857066
Velayati	0.0854705
Kiareldeen	0.085176
Yazdi	0.0851201
"Larry Sabato"	0.085025
Takeshita	0.0849611
Rifkind	0.0843748
Torricelli	0.0839539
Zeroual	0.0836818
Meissner	0.0836085
"de Charette"	0.0835265
"Zhou Nan"	0.0834603
Granic	0.0834485
Ren	0.0831759
Sarid	0.0829543
"Robert Reich"	0.0828771
Abbas	0.0824606
Nujoma	0.0823211
Rafsanjani	0.0818895
Balaguer	0.0817165
Gephardt	0.0815869
Brundtland	0.0811659
Kaunda	0.0806204
Karimov	0.0806041
Ruthardt	0.0805632
Chissano	0.0802914
"Amien Rais"	0.0800383
Kasoulides	0.0798656
Khai	0.0797275
Ciampi	0.0797123
Blatter	0.079579
"Elizabeth Dole"	0.0794734
Pangalos	0.0794291
Priebke	0.0792144
Shareh	0.0791802
Soares	0.0789607
Zeng	0.0787868
"Huang Ju"	0.0786489
Fischer	0.0783559
Simitis	0.0783485
"David Duke"	0.0783406
Lawler	0.0783224
Ikimi	0.0782428
Sharansky	0.0779314
Abdel-Meguid	0.0779283
Saleh	0.0778789
Nadler	0.0777467
Rosenbaum	0.0776733
Nazarbayev	0.0774436
Andreessen	0.0767851
Shahak	0.0763744
Jia	0.0762116
"Alexander Shokhin"	0.0760579
Mikhailov	0.0759991
Azad	0.0758975
Barbour	0.075823
Liao	0.0757966
Chavalit	0.0755696
Chappell	0.0755141
Bauer	0.0753905
"Adem Demaci"	0.0752879
Bolger	0.0752841
Berenson	0.075173
Mowlam	0.0749588
"Grigory Yavlinsky"	0.0747696
Kajiyama	0.0747369
Baer	0.0745642
Denktash	0.0745087
Frei	0.0744267
Pustovoitenko	0.0739973
"Than Shwe"	0.0738362
"Ricardo Lagos"	0.073563
Phieu	0.0734012
Lazarenko	0.0732898
Rua	0.072591
Vasile	0.0725807
Gowda	0.0725788
"Gennady Zyuganov"	0.0724298
Rothenberg	0.0723473
Murayama	0.0723418
Hanley	0.072329
McCollum	0.0722368
Vollebaek	0.0720396
Hoke	0.0719473
Kostov	0.0718397
Cuomo	0.0716606
burg	0.0716375
Nebiolo	0.0716091
Stroyev	0.071545
Lipponen	0.0714816
Tierney	0.0710416
Sobel	0.070838
Cary	0.0707936
"Israeli Cabinet"	0.0706087
Zuma	0.0705471
Lim	0.0703637
Peres	0.0702407
"Marzuki Darusman"	0.0701666
Grachev	0.0701191
Badillo	0.0700986
Cem	0.0699115
Donohue	0.069849
Scalfaro	0.0698483
Tsang	0.0698483
Kasich	0.0697821
"Yuri Maslyukov"	0.0695693
Mandelson	0.0695683
SEABROOK	0.0695595
"Krishna Prasad Bhattarai"	0.0694844
"Sepp Blatter"	0.0692856
Thapa	0.0691558
Ammiano	0.0691357
Misuari	0.0690195
Lautenberg	0.0689312
"Viktor Orban"	0.0688888
Blazevic	0.0687794
Nano	0.0687136
Inman	0.0686497
Rossello	0.0684948
Quackenbush	0.0684603
Schaefer	0.0682575
Swenson	0.068084
Jayakumar	0.06805
Hindery	0.0679181
Aguirre	0.0678958
"Ralph Nader"	0.0678675
Coia	0.0678482
Tsvangirai	0.0678408
Yadav	0.0677798
McGinnis	0.067647
"Wen Jiabao"	0.0676365
Westendorp	0.0676179
Ikeda	0.0675837
Wellstone	0.0675719
Singson	0.0675668
"Fob James"	0.0675576
"Natan Sharansky"	0.0675546
Mkapa	0.0675504
Severino	0.067506
Whaley	0.0675011
Chuan	0.0674933
Juma	0.0670391
Paxon	0.0670344
Amir	0.0670309
"Sonia Gandhi"	0.06689
))
(Bishkek (desc 2918.23) (sims
Dushanbe	0.279651
Windhoek	0.222755
Ashkhabad	0.21776
Tbilisi	0.215977
Gaborone	0.209459
Tashkent	0.204723
Chisinau	0.203524
Yaounde	0.187952
Lome	0.187827
Bamako	0.174937
Vilnius	0.17027
Mbabane	0.169777
Yerevan	0.165604
Minsk	0.165517
Moroni	0.163322
Maseru	0.161124
Asuncion	0.159981
Podgorica	0.15849
Vladikavkaz	0.155488
MANAMA	0.155216
Bangui	0.153667
Muscat	0.150531
Skopje	0.149724
Accra	0.148675
"ALMA ATA"	0.147989
Ouagadougou	0.147854
Kigali	0.147173
Libreville	0.142488
BLANTYRE	0.141222
Algiers	0.141157
Riyadh	0.139598
Makhachkala	0.139489
Tripoli	0.139267
"Port Moresby"	0.137869
Asmara	0.137547
Conakry	0.136835
Rabat	0.136673
Tallinn	0.135737
Astana	0.133805
Doha	0.133499
BRATISLAVA	0.133321
LISBON	0.133057
Vientiane	0.132313
"Ulan Bator"	0.131168
CARACAS	0.130435
Pretoria	0.130066
Jayapura	0.129661
Alma-Ata	0.127629
Abidjan	0.12207
Ljubljana	0.121998
Bujumbura	0.121952
Baku	0.121409
Sarajevo	0.120891
HANOI	0.120522
PYONGYANG	0.120099
Abuja	0.119664
"Nigerian capital"	0.117259
Lusaka	0.117042
Monrovia	0.115593
SOFIA	0.11532
Oslo	0.11501
Santiago	0.114818
Srinagar	0.114764
Almaty	0.113982
"Santo Domingo"	0.113338
Helsinki	0.112523
Belfast	0.112435
MAPUTO	0.112364
Arusha	0.112184
Katmandu	0.11134
BUCHAREST	0.111185
Denpasar	0.110706
KIEV	0.110477
Bern	0.10987
"La Paz"	0.109568
BRASILIA	0.109247
Brazzaville	0.109028
Dakar	0.108434
Bissau	0.108069
Dili	0.108055
Reykjavik	0.107967
TEGUCIGALPA	0.107669
"Addis Ababa"	0.107513
Kunming	0.107323
Sirte	0.10722
Suva	0.106991
Islamabad	0.106506
Honiara	0.10592
Hohhot	0.105519
Yinchuan	0.105392
Chennai	0.10534
NICOSIA	0.104338
Lucknow	0.104303
HARARE	0.104088
Kinshasa	0.104086
Cartagena	0.103546
Urumqi	0.103144
"San Salvador"	0.10229
Togo	0.102037
Amman	0.101925
Manado	0.10173
Havana	0.101416
ZAGREB	0.100661
"Guatemala City"	0.0995219
Jakarta	0.0984894
SANAA	0.098366
TIRANA	0.0980724
Kandy	0.0979262
PATNA	0.0978333
KAMPALA	0.0945685
Cardiff	0.0943369
ANKARA	0.0943061
Nairobi	0.0942849
Damascus	0.0942788
"Kuala Lumpur"	0.0938551
Lahore	0.0938541
Kupang	0.0937711
Quito	0.0936885
Changsha	0.0936193
Khartoum	0.0928482
Dublin	0.0928065
"Cape Town"	0.092187
"Abu Dhabi"	0.0921609
CHENGDU	0.0919608
Lhasa	0.0919062
Hangzhou	0.0918985
PALERMO	0.0915855
Ndola	0.0914194
Kyoto	0.0912864
COLOMBO	0.091133
"North West Frontier Province"	0.0910184
Bangalore	0.0908451
Manila	0.0907466
Prague	0.0906268
"Bandar Seri Begawan"	0.0902259
Luanda	0.090133
Kabul	0.0900029
Tehran	0.08996
TUNIS	0.089752
YANGON	0.0892472
SEOUL	0.08864
Peshawar	0.0886188
Riga	0.0875125
Lima	0.0872095
Amsterdam	0.0869743
Kathmandu	0.0869552
"Banja Luka"	0.0864922
Quetta	0.0861873
Taloqan	0.0861315
Haikou	0.0860693
"Dar es Salaam"	0.08603
Zhengzhou	0.0857918
DHAKA	0.0857701
Wellington	0.0857153
Kuching	0.0855767
Hefei	0.0854355
Jalalabad	0.0853346
Teheran	0.0851696
Auckland	0.0851
Pristina	0.0849011
"Malaysian capital"	0.0845201
Nanning	0.0840058
Shijiazhuang	0.0839255
Strasbourg	0.0838778
Durban	0.0832956
Istanbul	0.0831764
Bangkok	0.0830946
Madrid	0.082581
"Phnom Penh"	0.0825172
"Egyptian capital"	0.0818342
Guiyang	0.0816083
Ibadan	0.0815148
"New Delhi"	0.0808502
Geneva	0.0808363
Xian	0.0806862
Charikar	0.0806711
Shenyang	0.0804485
el-Sheikh	0.0802924
Bonn	0.0799163
Port-au-Prince	0.0797068
Vienna	0.0787755
Freetown	0.0783944
JOHANNESBURG	0.0783867
"East Room"	0.0782613
Beirut	0.0770524
BRUSSELS	0.0768159
Entebbe	0.0767822
"Burkina Faso"	0.0767277
Medan	0.0765419
Managua	0.0764643
Bandung	0.0764463
Krasnoyarsk	0.0763197
BOGOTA	0.0761755
Grozny	0.0759056
Hyderabad	0.0757828
Lausanne	0.0750368
Midrand	0.0748857
"Buenos Aires"	0.0745708
Xining	0.0743515
Taipei	0.0738605
))
(bishop (desc 54455.3) (sims
Archbishop	0.169135
priest	0.166882
pastor	0.140006
clergy	0.129384
diocese	0.114977
"religious leader"	0.11307
prelate	0.111017
pope	0.110408
leader	0.108199
theologian	0.105436
Mayor	0.104801
rabbi	0.103438
Governor	0.10169
Deacon	0.101165
lawmaker	0.100272
senator	0.0997173
legislator	0.0978694
minister	0.0951811
"business leader"	0.0951709
"political leader"	0.0934005
chaplain	0.092685
administrator	0.0910844
politician	0.0907125
cleric	0.0905223
Chancellor	0.0903371
judge	0.0902082
"head of state"	0.0892423
Catholic	0.08869
church	0.0886379
nun	0.0886044
clergyman	0.0875737
activist	0.0871303
member	0.0871096
parliamentarian	0.0865233
delegate	0.0855877
diplomat	0.0848139
"foreign minister"	0.084803
"finance minister"	0.0845332
President	0.0842159
official	0.0838994
congressmen	0.0827034
representative	0.0826386
"elected official"	0.0820935
parishioner	0.0818866
Ambassador	0.0818085
Archdiocese	0.0816191
missionary	0.0815473
General	0.0814381
prosecutor	0.0808187
commissioner	0.0802795
Speaker	0.0791847
Congressman	0.0790442
"council member"	0.0789567
scholar	0.0784183
journalist	0.0783397
"Pope John Paul II"	0.0782442
doctor	0.0777216
"chief justice"	0.0775967
"cabinet minister"	0.077571
superintendent	0.0775211
Anglican	0.0769123
commander	0.0768077
Protestant	0.0761528
banker	0.0760751
scientist	0.0759051
regulator	0.0756419
clergymen	0.0753876
Premier	0.0753415
environmentalist	0.0751317
elder	0.0750268
parish	0.0748874
"military officer"	0.0744998
chief	0.0744836
Democrat	0.0742833
congregation	0.0738977
"business executive"	0.0737299
government	0.0736137
authority	0.0735145
educator	0.0733978
intellectual	0.0731111
"secretary of state"	0.0729835
monk	0.0728163
teacher	0.0727854
Republican	0.0726771
conservative	0.0720231
Vatican	0.0718717
officer	0.0716076
deputy	0.0715366
lawyer	0.0709259
"vice president"	0.070871
secretary	0.0706616
Secretary-General	0.0706116
preacher	0.0705048
supervisor	0.0704571
"Roman Catholic"	0.0704466
trustee	0.0703533
businessmen	0.0702543
worshipper	0.0701691
seminarian	0.0700527
"newspaper editor"	0.0699694
"spiritual leader"	0.0696015
citizen	0.069429
legislature	0.0694216
patriarch	0.0693549
"first lady"	0.068988
treasurer	0.0689192
cardinal	0.0687475
"civil rights leader"	0.0687453
Council	0.0686963
dissident	0.0686913
"labor leader"	0.0686797
physician	0.0680667
voter	0.067793
parent	0.0674333
Episcopalian	0.0673536
"committee member"	0.067327
"lieutenant governor"	0.0666003
rector	0.0665037
king	0.0663593
pontiff	0.0663408
MP	0.066319
colleague	0.0662238
"world leader"	0.0661723
academician	0.0656482
ruler	0.0655995
"board member"	0.0655679
expert	0.0651118
supporter	0.0650784
"church member"	0.0649626
Attorney	0.0648277
resident	0.0646731
christian	0.0646029
FDA	0.0645399
student	0.0643905
Magistrate	0.0643745
"military leader"	0.0643422
executive	0.063886
Yeltsin	0.0637472
advocate	0.0635989
denomination	0.0635965
chairman	0.0635064
"political party"	0.0631576
native	0.0631226
"Kofi Annan"	0.0627579
entrepreneur	0.062703
administration	0.0626768
captain	0.0626158
police	0.0624983
"police officer"	0.0621546
Baptists	0.0620659
"chief executive"	0.061888
Moi	0.0617294
director	0.0617224
Congress	0.0616768
organization	0.0614886
participant	0.0614765
artist	0.0613784
"legal expert"	0.0613322
envoy	0.061173
manager	0.0610964
agency	0.0610165
mediator	0.0610162
farmer	0.0608531
reformer	0.0607979
"army officer"	0.0607522
historian	0.0607418
dean	0.0606774
"trade union"	0.0606161
leadership	0.0604927
academic	0.0602229
businessman	0.0602045
Jew	0.0602026
"federal official"	0.0601515
ministry	0.0600505
community	0.0600225
woman	0.059753
jurist	0.0597144
Samaranch	0.0595031
party	0.059476
"city council"	0.0594707
publisher	0.059435
Presbyterian	0.0592959
university	0.0592219
Khamenei	0.0591668
Lutheran	0.0591582
family	0.0590671
"school board"	0.0590566
owner	0.0589197
Arafat	0.0588849
"policy maker"	0.0588489
athlete	0.0587683
principal	0.058759
Palestinian	0.0587384
Mandela	0.0586774
"government officials"	0.0584774
"Food and Drug Administration"	0.0584262
candidate	0.0584111
immigrant	0.0584086
"union member"	0.0582683
professor	0.0582529
))
(Biskind (desc 1402.4) (sims
Roussel	0.130887
Haughey	0.12474
Hitchens	0.121352
Blackthorne	0.109839
Zarkin	0.106554
Jenoff	0.104047
Fassett	0.102404
Haouari	0.100422
Neulander	0.0998958
Mudge	0.0993395
Hersh	0.0990649
"Russell Peeler"	0.0985232
Romanowski	0.0980159
Manbar	0.0955847
Lundy	0.0953938
Lileikis	0.0936293
"Cary Stayner"	0.093408
Brazill	0.0925008
Rivlin	0.0924041
Fagan	0.0918227
Yoo	0.091647
Faget	0.0915853
Shipman	0.0912569
Sebaggala	0.0909708
Nikitin	0.0909669
Karr	0.0903854
Hoke	0.0899827
McWilliams	0.0895469
SAFY	0.0894968
"El Hage"	0.0883584
Bakaly	0.0870102
"Juan Miguel"	0.0869862
Meskini	0.0869129
Coia	0.0860446
Mattysse	0.0856356
Borodin	0.0847013
Kagalovsky	0.0844577
Prewitt	0.0843
"Marianne Gingrich"	0.0840778
Strauss-Kahn	0.0839303
Piggie	0.0838647
Jarrell	0.0835771
Merlino	0.0834945
Uliassi	0.0826012
Quackenbush	0.0823012
Hiett	0.0821257
Hamid	0.0815352
Sharma	0.0814558
Swango	0.0808383
Caddell	0.0806559
Harris-Lewis	0.080018
Callaghan	0.0799652
Nickerson	0.07958
Maag	0.079556
Rideau	0.0794302
Cisneros	0.07919
Weizman	0.0788922
Verniero	0.0787972
McKenna	0.0776973
Mitnick	0.0774815
Ritter	0.0768917
Kasoulides	0.0767632
Khalil	0.0763746
"Albert Pirro"	0.0753055
Singson	0.0752409
Giacchetto	0.0752312
Baumhammers	0.0747267
Meyers	0.074535
Stayner	0.0743376
Natale	0.0742527
Einhorn	0.0741665
Maharaj	0.0739177
Matasareanu	0.0729617
Kornberg	0.0725994
Laudor	0.0725101
Arens	0.0724509
Bizimungu	0.0723699
Fenton	0.0723213
LeBlanc	0.0721841
Lipstadt	0.0719681
Paciello	0.0718712
hodgson	0.0717838
"Patsy Ramsey"	0.0716998
Dumitru	0.0714407
Demjanjuk	0.0713917
Geiger	0.0711835
Fortier	0.0708645
Valenzuela	0.0706434
Ratner	0.0701664
Mikhailov	0.0701046
Nasrin	0.0697302
Cayugas	0.0695532
"Boys Ranch"	0.0694623
"Cindy McCain"	0.0692594
Ingraham	0.0692128
Murr	0.0691237
Grisham	0.069096
Schafer	0.0688943
Galindo	0.0687066
Ramseys	0.0684397
Trulock	0.0684108
Gowda	0.0683063
Menchu	0.068014
Caray	0.0678543
Kurtz	0.0676353
Naumann	0.0676182
Espy	0.0675297
Kalejs	0.0674748
Hage	0.0673148
"Maturino Resendiz"	0.0671582
Lugo	0.0668868
Kaczynski	0.0666149
Hagen	0.0665714
Kurth	0.0665055
Maher	0.0664405
Amato	0.0663637
Feldman	0.0662216
McVeigh	0.0662195
Skakel	0.0661646
Gaynor	0.0660189
Cavallo	0.0659635
Kirkpatrick	0.0658781
Soliah	0.065863
Zuma	0.0658525
Jewell	0.0655353
Finkel	0.065305
McDougal	0.0650999
COUSINS	0.0650728
Richey	0.065026
McKinney	0.0648029
Azizah	0.0647956
"Michael Skakel"	0.0647677
Zeng	0.0647336
DeBartolo	0.0647289
"Brian Cashman"	0.0645784
Olson	0.0644637
Safir	0.0644557
Shamshad	0.0644431
Brownlee	0.0642819
Reimer	0.064229
petitioner	0.0641899
Abbas	0.0640733
Boesak	0.0640022
Aoki	0.0639385
Shayler	0.0638078
Borden	0.0637333
Lew	0.0635644
Isner	0.0631403
Chappell	0.0629267
Gauthe	0.0627743
Severino	0.0627395
Wolfson	0.0626438
Bruder	0.0626171
McAuliffe	0.0624621
Ackerman	0.0622126
"Juan Miguel Gonzalez"	0.0621771
Rodionov	0.0620226
Berri	0.0620153
Eappens	0.0617637
ex-husband	0.0617477
Ikimi	0.0616985
McMullen	0.0616302
Theroux	0.0614224
Ankiel	0.0613712
Mercurio	0.0613522
Cavanaugh	0.0612476
Ruehe	0.0610824
Posner	0.0609759
Gritz	0.060953
KEVORKIAN	0.0609094
Ota	0.060861
Petkovsek	0.0608447
Martorano	0.0607437
"Al Fayed"	0.0606238
Qureshi	0.0606211
Ruelas	0.0605886
Berenson	0.0605238
Coelho	0.0604984
Hirschfeld	0.0604326
Shareh	0.0601785
Ballard	0.0601195
Gullit	0.0600185
Soares	0.0599546
Carruth	0.0599426
Levesque	0.0596533
conger	0.0596055
Yadav	0.0595624
Guterres	0.0594913
Piot	0.0594618
Deutch	0.059398
Frankel	0.0592667
Hamlin	0.0590249
Tuinei	0.0589987
Teresi	0.0589668
McCourt	0.0589259
Sakic	0.058894
Dokmanovic	0.0588215
Tarrin	0.0587574
Hauser	0.0587551
"welfare worker"	0.0587249
))
(Bismarck (desc 2081.94) (sims
"Grand Forks"	0.16659
Jamestown	0.0914904
FARGO	0.0905904
Wolfsburg	0.0813503
"White Plains"	0.0736109
"Garden City"	0.0677969
Secaucus	0.0654239
"Fort Lee"	0.064861
"West Orange"	0.063656
Bridgewater	0.0612066
Xenia	0.0607614
Missoula	0.0603258
U-boat	0.0601321
Renton	0.0596663
Heidelberg	0.0593345
Hempstead	0.0577799
Granville	0.0566641
"East Orange"	0.056448
Crewe	0.0550662
Texarkana	0.0548709
Uniondale	0.0544897
Emeryville	0.0542373
Braintree	0.0540087
Norcross	0.0538829
"Wichita Falls"	0.0535985
Spartanburg	0.0529193
"Thomas Haessler"	0.0521674
Juninho	0.0519066
Watertown	0.0511892
"St. Paul"	0.0499949
Bangor	0.0497487
Wilmington	0.0485629
Goteborg	0.0485039
Farmington	0.0483772
Exeter	0.0481604
"Round Rock"	0.0479884
Peterborough	0.0471205
MINEOLA	0.0470644
Carlsbad	0.0468252
"English Patient"	0.0463343
Rafah	0.045902
"Gaza City"	0.0451423
Gnjilane	0.0451022
"Auburn Hills"	0.0450532
Longview	0.0450338
"Mission Viejo"	0.0449482
Makhachkala	0.0449026
Fremont	0.0448242
"Adolf Hitler"	0.0446778
"San Angelo"	0.0445738
Cacak	0.0445006
Fairfield	0.0439674
Lawrenceville	0.043745
"Full Monty"	0.0436814
PATNA	0.0436773
Tokaimura	0.0436517
"Shah Alam"	0.0435988
"Cedar Rapids"	0.0432798
Almaty	0.0431716
Skaneateles	0.0430363
Lewiston	0.042627
Dubuque	0.0425785
"Shenzhen City"	0.0424008
Tuscaloosa	0.0422161
Sparta	0.0422073
"Andreas Moeller"	0.0420927
Hillsboro	0.041995
Plattsburgh	0.0419834
"Culver City"	0.0417784
"Oak Ridge"	0.0416033
"Klaus Kinkel"	0.041536
"ocean liner"	0.0414694
Aiken	0.0412274
Ghent	0.0410566
Chancellor-elect	0.0410552
"San Cristobal"	0.0408286
Dearborn	0.0406822
Hackensack	0.0406487
Tijuana	0.0404874
Smyrna	0.0404819
Youngstown	0.0402972
Somerset	0.0401724
))
(bison (desc 7579.09) (sims
elk	0.184963
deer	0.168944
yak	0.164379
antelope	0.153411
ostrich	0.15187
venison	0.141525
"wild horse"	0.129888
moose	0.125217
gazelle	0.124997
"wild boar"	0.122681
goat	0.122624
sheep	0.120892
boar	0.11783
cattle	0.116865
elephant	0.115682
caribou	0.113705
oxen	0.111177
reindeer	0.108801
kangaroo	0.106661
"beef cattle"	0.106494
pheasant	0.105069
zebra	0.0991063
"milk cow"	0.0972747
cow	0.0971227
"bighorn sheep"	0.0967046
geese	0.0954025
"grizzly bear"	0.0935445
donkey	0.0928491
hog	0.0928115
pig	0.0913102
rhinoceros	0.0896864
camel	0.0882942
Livestock	0.0880249
hippo	0.0861497
"black bear"	0.0859954
poultry	0.0858381
rhino	0.0855637
llama	0.0853656
"red deer"	0.0847873
rabbit	0.0842123
crocodile	0.0826183
swine	0.0826183
wolf	0.0825332
alpaca	0.0818208
giraffe	0.0816348
leopard	0.0795363
"mountain lion"	0.0791666
wildlife	0.0775729
"gray whale"	0.0773834
squirrel	0.0768757
tiger	0.0765291
Buffalo	0.076186
alligator	0.0761505
bird	0.0760126
turtle	0.075373
fawn	0.0729065
mastodon	0.0725402
beef	0.0724229
"domestic animal"	0.0722936
"farm animal"	0.0710992
whale	0.0704023
pork	0.069847
herd	0.069823
monkey	0.0690583
quail	0.0686242
otter	0.067462
"giant panda"	0.0674242
"prairie dog"	0.0672748
salmon	0.067098
"sea turtle"	0.0670115
Bighorn	0.0667002
lamb	0.0664892
"snow leopard"	0.0663753
peacock	0.0658339
mutton	0.0657516
EMU	0.0654435
lion	0.0653789
rooster	0.0651004
mammal	0.0645258
ox	0.0642132
"African elephant"	0.0640662
porcupine	0.0637043
duck	0.0632463
lynx	0.0632281
"dairy cow"	0.0628555
"rare bird"	0.0626872
"right whale"	0.0620304
Buffaloes	0.0617496
waterfowl	0.0615809
"water buffalo"	0.0611431
owl	0.0607459
raccoon	0.0600636
cormorant	0.0597963
"Bengal tiger"	0.0584034
eel	0.058335
reptile	0.0580552
bluefin	0.05767
walrus	0.0571076
calf	0.0568739
humpback	0.0566694
snake	0.0555971
mice	0.055422
dairy	0.0541949
unicorn	0.0540911
"brown bear"	0.0538358
CAT	0.0537282
eagle	0.053594
"polar bear"	0.0532158
heifer	0.0525287
frog	0.0524166
goose	0.0523804
vegetarian	0.051885
"blue crab"	0.0515843
hyena	0.0513812
panda	0.0510031
Kosovars	0.0507391
Crane	0.0505786
dove	0.0505042
chimpanzee	0.0504797
"gray wolf"	0.0501838
"Sri Lankans"	0.0501553
"monarch butterfly"	0.0501358
pigeon	0.0500846
abalone	0.0499186
sturgeon	0.0498253
herdsmen	0.0494543
chimp	0.0490813
veggie	0.0488811
grizzly	0.0487236
teriyaki	0.0486673
swordfish	0.0483899
beaver	0.0481091
"Atlantic salmon"	0.0478254
rodent	0.0476158
"golden eagle"	0.0475365
orangutan	0.047205
Copt	0.0470504
"closed-end fund"	0.0469111
tuna	0.0468449
Chili	0.0468153
jackal	0.0466433
mule	0.0465937
"North Africans"	0.0465363
trout	0.0453401
halibut	0.0452864
burro	0.0452631
Bosnians	0.0451876
hobo	0.0451196
Dinosaur	0.0448085
hen	0.0445881
armadillo	0.0444777
ibis	0.0442366
Longhorn	0.0440974
cheetah	0.0439473
Burundian	0.0435002
goldfish	0.0433213
coyote	0.0432704
"sea cucumber"	0.0432343
lobster	0.0430731
deserter	0.0430396
porpoise	0.0430215
"Iranian POWs"	0.042828
mink	0.0427683
Sudanese	0.0425732
fowl	0.0425184
logger	0.0424935
Vulture	0.042293
"Beanie Babies"	0.0421684
Primate	0.0420762
insect	0.0420206
"mountain gorilla"	0.0419125
"sea otter"	0.0416179
Concordes	0.0412616
sparrow	0.0411709
egret	0.0411674
asylum-seekers	0.040933
rat	0.0409267
carcass	0.0405723
nomad	0.0405155
evacuee	0.0405146
swan	0.040332
hamster	0.0402497
))
(bisque (desc 1780.04) (sims
risotto	0.124141
chowder	0.119748
ragout	0.11812
ravioli	0.117142
gratin	0.113608
soup	0.109648
confit	0.102923
Carpaccio	0.102863
frittata	0.101579
gravy	0.0948805
flan	0.0903368
puree	0.0881809
fettuccine	0.0865943
stuffing	0.086593
broth	0.0848559
tapenade	0.0832704
gumbo	0.0814717
paella	0.0799318
latke	0.0798313
enchilada	0.0787998
fajitas	0.0770592
salsa	0.0762152
custard	0.0752935
Souffle	0.0748487
kelp	0.0733536
"green salad"	0.0696098
pancake	0.0674861
Casserole	0.0665889
"vegetable soup"	0.066277
appetizer	0.0662475
"Caesar salad"	0.0653594
grits	0.0653531
omelet	0.0650463
spaetzle	0.0640956
picker	0.0635587
crepe	0.0626602
"cream sauce"	0.0625417
sausage	0.0623358
"side dish"	0.0620587
mousse	0.0619731
torte	0.0617533
Pudding	0.0612972
porridge	0.0587872
bouillon	0.0582599
tails	0.0582537
canape	0.0582227
terrine	0.0573874
quiche	0.0571237
chutney	0.0569433
mayonnaise	0.0566977
taco	0.0561336
dumplings	0.0549549
"wild boar"	0.054002
"roast beef"	0.0539504
"baked goods"	0.0538057
shortcake	0.0534356
pesto	0.0534066
dumpling	0.052793
conch	0.0518354
omelette	0.0510166
"king salmon"	0.0505942
"coconut milk"	0.0496218
"fishing rod"	0.0495297
bronzeware	0.0494953
"spring roll"	0.0493075
"M&AMP;Ms"	0.0492516
"hot chocolate"	0.0490542
mussel	0.0482832
calamari	0.0481483
"red snapper"	0.0475392
sashimi	0.0474009
"tomato sauce"	0.0463753
meringue	0.0463657
shanty	0.0461253
"chocolate mousse"	0.0450596
preserves	0.0449402
"grated cheese"	0.0447999
"striped bass"	0.044547
buns	0.0443388
stoneware	0.0440581
sorbet	0.0433861
papaya	0.04271
fancier	0.0420992
Roe	0.0418688
masher	0.0416749
cookout	0.0416471
TARTARE	0.041477
"evaporated milk"	0.0412651
goose	0.0408589
Tamale	0.0406733
"brook trout"	0.040385
COBBLER	0.040099
))
(Bissau (desc 7680.74) (sims
Dushanbe	0.208212
Brazzaville	0.162039
Monrovia	0.161598
"San Salvador"	0.159269
Asmara	0.158683
Dili	0.157966
Freetown	0.15599
Kinshasa	0.152652
Maseru	0.151149
TEGUCIGALPA	0.1477
Sarajevo	0.146639
"Santo Domingo"	0.146009
Tbilisi	0.145512
Luanda	0.144976
Suva	0.144915
Abidjan	0.144178
Asuncion	0.143015
Tripoli	0.142977
"La Paz"	0.142101
Bangui	0.141433
Grozny	0.140686
Skopje	0.139344
Srinagar	0.138515
Bujumbura	0.137318
BOGOTA	0.136676
Kabul	0.135289
Algiers	0.134401
Pristina	0.13321
Minsk	0.13307
Honiara	0.13224
"Guatemala City"	0.131714
BUCHAREST	0.130647
Mogadishu	0.130473
TIRANA	0.129279
"Phnom Penh"	0.128677
Kuito	0.128652
Quito	0.128288
Chisinau	0.128181
SOFIA	0.128121
Yerevan	0.127669
Windhoek	0.126495
Gaborone	0.124534
Lima	0.124319
Baku	0.123591
Ambon	0.122826
MANAMA	0.122673
MAPUTO	0.122275
Riyadh	0.12192
"Port Moresby"	0.12116
Huambo	0.119329
Guinea-Bissau	0.118667
Amman	0.118158
ZAGREB	0.117861
Tashkent	0.117781
Kigali	0.116405
Khartoum	0.11596
Vientiane	0.114832
Port-au-Prince	0.113946
Rabat	0.113377
Jakarta	0.112557
Riga	0.112136
Beirut	0.111983
Mbabane	0.111963
Managua	0.110771
Podgorica	0.110509
KAMPALA	0.10974
Belfast	0.109367
Kisangani	0.109319
Juba	0.109003
Bishkek	0.108069
Makeni	0.107983
Accra	0.107923
Nairobi	0.107653
HARARE	0.10739
COLOMBO	0.106889
CARACAS	0.10659
"Addis Ababa"	0.106255
Gudermes	0.105792
"Cape Town"	0.105466
Prague	0.104995
Pretoria	0.104919
SANAA	0.104755
Havana	0.103394
KIEV	0.103067
YANGON	0.102784
DHAKA	0.101855
"Buenos Aires"	0.10177
"Tel Aviv"	0.101544
Tallinn	0.101541
WARSAW	0.100592
LISBON	0.100414
Dakar	0.100128
Bern	0.0996556
SEOUL	0.0992073
Doha	0.0988107
ANKARA	0.0987191
Kindu	0.0983693
Goma	0.0977241
Mazar-e-Sharif	0.0977132
BUDAPEST	0.0975503
BRATISLAVA	0.0969224
"San Juan"	0.0965602
Islamabad	0.095706
Xian	0.0955239
Peshawar	0.0953251
Santiago	0.0952507
Baghdad	0.0952286
"Mexico City"	0.095119
BELGRADE	0.0949027
Lhasa	0.0947415
Tehran	0.0944143
Durban	0.0941302
"Sao Paulo"	0.0940005
Prizren	0.0939421
Makhachkala	0.0933289
Lome	0.0932159
Damascus	0.0928287
Jeddah	0.0927143
HANOI	0.092714
PEC	0.0924755
Conakry	0.0919188
Astana	0.091641
"Dar es Salaam"	0.0913159
Jalalabad	0.0910184
Alexandria	0.0906201
CAIRO	0.090424
Lagos	0.0902958
Kandahar	0.0901791
Dublin	0.0889542
Tuzla	0.0888703
Hyderabad	0.0885587
Ljubljana	0.0885032
Moroni	0.0882528
Vladikavkaz	0.0878568
Bangkok	0.0876234
JOHANNESBURG	0.0874538
Vladivostok	0.0874014
Vilnius	0.0864639
"Kuala Lumpur"	0.0858023
Jayapura	0.0856678
Reykjavik	0.085332
Acapulco	0.0842906
Saigon	0.0841833
Ensenada	0.0841211
"Democratic Republic of the Congo"	0.0840551
Manila	0.0839368
Bamako	0.0838492
Moscow	0.0834513
Helsinki	0.0833482
BRUSSELS	0.0832877
NICOSIA	0.0831676
ATHENS	0.0831487
"Guinea Bissau"	0.0831455
Baidoa	0.0829188
Karachi	0.0828222
Oslo	0.0826587
"New Delhi"	0.0825838
Solomons	0.0825468
Istanbul	0.0824018
Wellington	0.0823182
DRC	0.0820961
Taloqan	0.081841
Tapachula	0.0814582
Mombasa	0.081159
MELBOURNE	0.0807309
Murmansk	0.0806985
"Egyptian capital"	0.0805338
Beira	0.080424
"Banja Luka"	0.080079
San	0.0800046
Lusaka	0.0799428
Orahovac	0.0797171
Taipei	0.0793243
"St. Petersburg"	0.0784881
"Sierra Leone"	0.0784471
Yaounde	0.0783027
Vienna	0.0780485
Marjayoun	0.0780148
Jaffna	0.0777933
Zurich	0.0773781
Bukavu	0.0772113
Katmandu	0.0768683
Mazar-i-Sharif	0.0765464
Lahore	0.0764821
Zaire	0.076087
Madrid	0.0760793
Berne	0.075232
"Ulan Bator"	0.0750737
Ramallah	0.0749805
TUNIS	0.0747088
Mitrovica	0.0746781
Sidon	0.074624
Jolo	0.0744064
"Little Rock"	0.0736631
Londonderry	0.073635
Amsterdam	0.0736001
Lhokseumawe	0.0734413
Rome	0.0734059
Abuja	0.0732525
Milan	0.0731111
))
(bistro (desc 10127.6) (sims
boutique	0.137568
Brasserie	0.137369
restaurant	0.135739
cafe	0.13573
"coffee shop"	0.132322
delicatessen	0.130996
Steakhouse	0.128173
deli	0.126989
"tea house"	0.124637
tavern	0.122759
pizzeria	0.122003
pub	0.120989
eateries	0.11268
bakery	0.110191
"art gallery"	0.109375
nightclub	0.108549
"clothing store"	0.105874
nightspots	0.103963
"liquor store"	0.10392
coffeehouse	0.101162
Spago	0.0987372
diner	0.0941678
cafeteria	0.0935805
bookstore	0.0900155
"jewelry store"	0.0892994
parlor	0.087654
salon	0.0872177
emporium	0.0855456
inn	0.0848963
"Chez Panisse"	0.0847048
"beauty salon"	0.0844054
saloon	0.083505
nightspot	0.0834282
"grocery store"	0.0828543
"watering hole"	0.0826558
"food shop"	0.0819151
townhouse	0.0804752
teahouse	0.0797925
bookshop	0.0788861
"movie theater"	0.0787829
"beauty shop"	0.0775515
"gift shop"	0.0771938
"convenience store"	0.0762652
hangout	0.0755724
gallery	0.0755205
"dance hall"	0.0747511
disco	0.0741194
arcade	0.0728949
"bowling alley"	0.072176
SPA	0.0715032
Ritz-Carlton	0.071027
"pizza parlor"	0.0707416
"department store"	0.070174
"toy store"	0.0700106
gourmet	0.0696615
"town house"	0.0696552
drugstore	0.0693547
"general store"	0.0692837
"movie house"	0.0690342
"hardware store"	0.0688395
supermarket	0.0686466
"Seasons Hotel"	0.0684248
"recording studio"	0.0680123
caterer	0.0674227
brownstone	0.0672765
buffet	0.0671402
"shopping center"	0.0668729
"coffee bar"	0.0662427
"gas station"	0.0652994
discotheque	0.0644242
"dry cleaner"	0.0637056
spas	0.0632958
"Rainbow Room"	0.0628555
"butcher shop"	0.0628008
Tex-Mex	0.0627205
"dinner party"	0.062668
"truck stop"	0.0622976
"snack bar"	0.0622007
"specialty store"	0.0621863
"dining room"	0.0620097
"candy store"	0.0617589
tenement	0.0616834
"Burger King"	0.0608839
lounge	0.060451
loft	0.0601588
"repair shop"	0.0598092
kiosk	0.0597329
"Le Bernardin"	0.0590361
"service station"	0.0589584
storefront	0.0587646
"shoe store"	0.0585111
"subway station"	0.0584491
banquette	0.0583734
Waldorf-Astoria	0.0582765
cuisine	0.0578487
mall	0.0576308
"Le Cirque @@@@"	0.0575979
ballroom	0.057575
Cajun	0.0570752
barbershop	0.0564364
bed-and-breakfast	0.0563603
"beauty parlor"	0.055951
gym	0.0558604
MCDONALD's	0.0557206
"Plaza Hotel"	0.0547599
"conference center"	0.0547409
vegetarian	0.0543199
tapa	0.0541882
brothel	0.0541696
"art dealer"	0.0540264
"shopping mall"	0.053932
decorator	0.0539144
"row house"	0.0537544
jeweler	0.0536767
"dining area"	0.0536284
"retail store"	0.0536245
"amusement park"	0.0533726
"funeral home"	0.0532496
boulevard	0.0531801
hooter	0.0530618
Marina	0.0529009
cinema	0.0526831
"apartment building"	0.0523041
motel	0.0520682
Bathhouse	0.051816
"cocktail party"	0.0515729
canteen	0.0514336
"travel agency"	0.0509529
condominium	0.0508087
bed-and-breakfasts	0.0507807
bungalow	0.0504698
"auction house"	0.0504368
showroom	0.0503823
mansion	0.0503249
"rooming house"	0.0501727
"flea market"	0.0501347
"law practice"	0.0501108
stalls	0.0500353
winery	0.0500293
"B&AMP;B"	0.049967
"Planet Hollywood"	0.0497174
nightlife	0.0494588
"ranch house"	0.0494512
Pharmacy	0.0493333
hostel	0.0491839
grocery	0.048261
junkyard	0.0482498
"office building"	0.0479346
"ice rink"	0.0478714
high-rise	0.0473054
antique	0.0472782
plaza	0.0471388
Chateau	0.0471239
nursery	0.0471233
"soup kitchen"	0.0469854
grocer	0.046853
"private school"	0.0467459
farmhouse	0.0467439
"Film Forum"	0.04663
pavilion	0.0465212
"post office"	0.0464943
taxicab	0.0464196
"hotel room"	0.0462942
"machine shop"	0.046154
Starbucks	0.045842
garage	0.0458235
courtyard	0.0458231
"Lincoln Center Festival"	0.0457311
atelier	0.0457015
Clothier	0.0455346
laundry	0.0455166
Cantonese	0.0454862
sawmill	0.0452947
newsstand	0.0452897
"vacant lot"	0.0451261
guesthouse	0.0449785
barbecue	0.0448917
"Studio @@"	0.044878
"Fashion Week"	0.0446702
"community center"	0.0446629
florist	0.0445024
"CAC @@"	0.0444746
multiplex	0.0444374
"subway train"	0.0439379
nook	0.0438692
playground	0.0438199
"Print Shop"	0.043706
"restaurant chain"	0.0436518
terrace	0.0436335
"entertainment center"	0.0435128
drive-in	0.0434618
potluck	0.0434518
dealership	0.0433813
"Taco Bell"	0.0433093
"swimming pool"	0.0432741
playhouse	0.0431601
"beach house"	0.0431084
alcove	0.042991
"country club"	0.0428814
vegan	0.0428677
))
(bit (desc 156962) (sims
little	0.174017
lot	0.141311
kind	0.120373
piece	0.116235
more	0.110098
something	0.105948
sort	0.105482
"whole lot"	0.102134
plenty	0.100939
tad	0.100653
much	0.100146
some	0.093611
sense	0.0924905
hint	0.0883901
touch	0.0872107
mixture	0.0869721
enough	0.0860904
feeling	0.0859688
mix	0.084795
chunk	0.0838872
amount	0.0833576
stuff	0.0831993
thing	0.0824767
sign	0.0797469
moment	0.0777388
"good deal"	0.0774311
dose	0.0773505
look	0.0751905
combination	0.0738426
slice	0.0731892
layer	0.0727598
element	0.0726199
blend	0.0713219
type	0.0704507
word	0.0704186
sound	0.0702273
idea	0.0699958
example	0.0695601
most	0.0692846
nothing	0.0690543
whiff	0.0684955
trace	0.0680429
one	0.0673435
couple	0.0672399
tale	0.0666249
feel	0.0665542
part	0.0663395
image	0.0656304
reflection	0.0649083
all	0.0645595
anything	0.0637612
fragment	0.0637045
story	0.0628412
ball	0.0628339
indication	0.0626714
tidbit	0.0624471
lack	0.0623325
flavor	0.0623076
form	0.0619963
burst	0.0617317
evidence	0.0612222
snippet	0.0610007
taste	0.0608739
expression	0.0606802
picture	0.0602508
thought	0.0602153
joke	0.0595909
remains	0.0592778
sequence	0.0592457
number	0.058913
character	0.0588836
object	0.0587898
color	0.0585668
degree	0.0584028
reminder	0.0582932
face	0.0582864
guy	0.0581706
ounce	0.0581203
any	0.0580748
variety	0.0579276
fun	0.0577326
result	0.0576282
none	0.0575728
way	0.057515
well	0.057487
twist	0.0574431
ton	0.0574354
shot	0.0572577
glimpse	0.0571009
line	0.0569333
Song	0.0569162
question	0.0568428
voice	0.0567206
bite	0.0567196
scene	0.0565616
memory	0.0563791
matter	0.0563336
inch	0.0562857
feet	0.0562463
place	0.0562454
no	0.0561565
notion	0.0561076
bag	0.0560999
while	0.0559112
note	0.0557403
patch	0.0554807
light	0.0553898
wave	0.0553504
symbol	0.0552419
pile	0.0552398
sliver	0.0552272
chance	0.0552265
humor	0.0552191
many	0.0551832
bad	0.0551753
bunch	0.0550046
shard	0.0549696
tone	0.054906
smell	0.0546586
series	0.0545611
detail	0.0545577
ones	0.0544951
people	0.0544255
"a few"	0.054251
sauce	0.0539523
box	0.0538183
aspect	0.0536136
"how much"	0.0536121
anecdote	0.0535991
flash	0.0534386
pattern	0.0533971
ingredient	0.0529344
act	0.0528355
point	0.0527024
description	0.0526806
book	0.0526524
time	0.0526341
collection	0.0526092
style	0.0525738
game	0.0525401
material	0.0522876
feature	0.0522571
emotion	0.052207
can	0.0521291
name	0.0520897
worth	0.0520855
fact	0.0520587
source	0.0519682
kid	0.051946
variation	0.0519354
effect	0.0518898
film	0.0518889
life	0.0518395
smile	0.0517426
movie	0.0515041
someone	0.0514515
display	0.0513093
man	0.051131
spite	0.0510881
strip	0.0510397
love	0.0510092
dish	0.0507835
short	0.0507519
fan	0.0507157
aura	0.0506938
everything	0.0506357
problem	0.0505365
juice	0.0505319
experience	0.0504735
portion	0.0504474
possibility	0.0504309
truth	0.0501342
version	0.0501072
brand	0.0499952
leaf	0.0499849
trick	0.0499435
measure	0.0498248
sample	0.0497844
eye	0.0496647
packet	0.0496181
texture	0.0495576
two	0.0495503
music	0.0495251
news	0.0495064
content	0.0494587
half	0.0493886
photograph	0.0493425
gesture	0.0492687
spirit	0.0492258
creature	0.0491947
atmosphere	0.049152
rhythm	0.0491261
item	0.0491129
message	0.0491121
meaning	0.0490728
phrase	0.0489975
air	0.0489902
performance	0.0489532
nugget	0.0489433
case	0.048913
))
("bit part" (desc 1298.13) (sims
"Anakin Skywalker"	0.0829644
vasectomy	0.0790955
"top billing"	0.0738854
"Obi-Wan Kenobi"	0.0702117
cameo	0.0687993
paraplegic	0.0646149
"Queen Victoria"	0.063888
"Julie Andrews"	0.060215
temptress	0.0553717
"Richard Gere"	0.0549978
delinquent	0.054564
capella	0.0539657
"character actor"	0.0533125
extras	0.0531541
"AL PACINO"	0.0528966
whistle-blower	0.0528568
"waiting game"	0.0521898
inaccuracy	0.0520966
"Jimmy Stewart"	0.0519122
Hickey	0.0516674
letup	0.0516303
"Matt Damon"	0.051248
toehold	0.0508496
"seven homers"	0.050759
"Andy Kaufman"	0.050523
"leading lady"	0.0503889
salchow	0.0502117
"Andre Braugher"	0.0501359
"guessing game"	0.0500009
"blind man"	0.0499959
zinger	0.0492523
axel	0.0487184
Godot	0.04864
schemer	0.0483448
"belly dancer"	0.048007
"title role"	0.0476815
croquet	0.0473111
cortisone	0.0470884
C-section	0.0466479
"speeding ticket"	0.0466351
"marriage proposal"	0.046232
"knockout punch"	0.0454614
"hot issue"	0.0453852
"guardian angel"	0.0453585
"day game"	0.0449395
disinterest	0.044822
walk-on	0.0443375
"three pitchers"	0.0442721
"numbers game"	0.0440915
videogames	0.0439498
"job offer"	0.0435831
scarecrow	0.0433545
mitzvah	0.043338
realpolitik	0.0427761
"grim reaper"	0.0427535
quarter-finalist	0.042607
"bar mitzvah"	0.0425312
knighthood	0.0423297
"clean slate"	0.0422227
"change of mind"	0.0420362
"Russell Crowe"	0.0418339
tuba	0.0418273
DVD-ROM	0.0417659
"practical joke"	0.0415536
"trump card"	0.0413035
Barrie	0.0409861
"paper cup"	0.0409796
"majority rule"	0.0409386
Englishmen	0.040713
"Willy Loman"	0.0405696
"William H. Macy"	0.0404501
"one inch"	0.0403719
stinker	0.0403628
"Buick Classic"	0.040297
"subsidiary company"	0.0402375
"Sidney Poitier"	0.0401426
"Deep Blue"	0.0401334
game-high	0.0400714
electability	0.0400149
))
(bitch (desc 2722.39) (sims
whore	0.138669
slut	0.109833
wimp	0.0823942
gook	0.0807114
"big leaguer"	0.077167
nigger	0.0749474
worrier	0.0684923
"guardian angel"	0.0678856
grownup	0.0665004
"important person"	0.0650877
whiner	0.0650759
"good person"	0.0638396
Caucasian	0.0633949
neurotic	0.0608596
soulmate	0.0594643
overachiever	0.0594614
mailman	0.0591699
joiner	0.0589491
"jumping up and down"	0.0571035
proactive	0.056997
tomboy	0.0564415
nonentity	0.0554151
newspaperman	0.0553243
hyper	0.0546966
handicapper	0.0544115
witch	0.0544004
perfectionist	0.0540675
"risk taker"	0.0532638
Scrooge	0.0530586
bricklayer	0.053029
curmudgeon	0.0529344
idiot	0.0525644
redneck	0.0524607
"one of the boys"	0.0519163
"old lady"	0.0516498
hypocrite	0.0514679
dude	0.0514343
bastard	0.0513954
breadwinner	0.0507268
"hard worker"	0.0507146
hillbilly	0.0506097
"black person"	0.0506041
beautician	0.0500411
techie	0.0496897
snob	0.0495107
lumberjack	0.0491421
"Adolf Eichmann"	0.0490241
crybaby	0.0490208
terrier	0.048894
goblin	0.0488032
"math teacher"	0.0487966
U-boat	0.0486291
seamstress	0.0485704
grabber	0.0484188
slob	0.0482153
lunatic	0.0480803
playmate	0.0479939
crapshoot	0.0479716
Trailblazer	0.0479591
sharecropper	0.0476642
"storm trooper"	0.0476375
pushover	0.0473944
"raw talent"	0.047323
washout	0.0470416
boob	0.0470205
"white person"	0.0469379
antsy	0.0467625
"Der Spiegel"	0.0465357
grinder	0.0463556
"guitar player"	0.0462388
typist	0.0461148
supermodel	0.0460574
junkie	0.0460564
"prima donna"	0.046024
pimp	0.0459435
hyphen	0.0459011
liar	0.0458943
Lightyear	0.0458541
ass	0.0457675
carpetbagger	0.0457388
bridesmaid	0.0454405
wacko	0.0454273
looker	0.0453959
vegetarian	0.045327
derelict	0.0451367
"making love"	0.0451012
Hick	0.0450824
cataclysm	0.0449321
queer	0.0447442
buffoon	0.044685
knucklehead	0.0446819
maniac	0.0444662
picky	0.0443448
stallion	0.0442765
copout	0.0441788
mutt	0.0441464
transsexual	0.0441152
helper	0.0440161
thesaurus	0.0438472
"ball club"	0.0438472
has-been	0.043831
preachy	0.0436683
cantor	0.0435877
"fire hose"	0.0434432
"David Sibandze"	0.0434095
gibberish	0.043105
bimbo	0.0430821
moron	0.0430334
bum	0.0430037
"big sister"	0.0428003
diva	0.0427307
olestra	0.0426986
scum	0.0426283
dribbler	0.0424735
turncoat	0.0423049
outta	0.0421809
expletive	0.0421247
"Edmund Hillary"	0.0419913
brat	0.0419077
schooler	0.0417496
realist	0.0416747
orator	0.0416299
"heroin addict"	0.0415389
"Seattle Slew"	0.0413769
stomachache	0.0413199
Iceman	0.041218
screamer	0.040877
gal	0.0407997
stepmother	0.0407312
miler	0.0407179
"folk singer"	0.0406635
voyeur	0.0406601
pro-choice	0.0406559
punchline	0.0406028
valedictorian	0.0404973
"two words"	0.0403147
"naval officer"	0.0402851
zombie	0.0401664
weirdo	0.0401487
test-fired	0.0400344
grown-up	0.0400063
))
(bite (desc 28076.5) (sims
flavor	0.079221
aroma	0.0757512
bump	0.073175
wound	0.0684977
slice	0.0676774
oomph	0.0673868
bruise	0.0662184
smell	0.0656436
morsel	0.0652194
venom	0.0650049
sip	0.0640249
taste	0.0632687
lump	0.0631994
gunshot	0.0623077
overdose	0.0610269
infection	0.0600771
sting	0.0595362
jolt	0.0591469
trauma	0.0588236
infestation	0.0584817
teeth	0.0583586
poisoning	0.0577911
exposure	0.0568072
bit	0.0567196
hiccup	0.0565906
disease	0.0561157
chunk	0.0560576
thrill	0.0557803
acidity	0.0556666
virus	0.0554832
scratch	0.0554661
shock	0.0553356
"heart attack"	0.0552038
skin	0.0550418
complication	0.055009
twist	0.054995
punch	0.0548802
texture	0.0545692
luster	0.0542219
sweetness	0.0541123
fracture	0.054062
odor	0.0535017
heft	0.0532757
hint	0.053134
stroke	0.0531111
scent	0.052889
"side effect"	0.052815
dose	0.052734
impact	0.0527132
scar	0.0523823
"blood clot"	0.0522682
illness	0.051768
blood	0.0516669
meal	0.051459
chuckle	0.0513208
whiff	0.0511046
injury	0.0510067
"food poisoning"	0.0509096
letdown	0.0507506
pain	0.0502063
cold	0.0496997
crunch	0.0496654
glitch	0.0496084
fallout	0.0495964
larvae	0.0492012
headache	0.0489333
noise	0.0487468
poison	0.0487461
flair	0.0484289
contamination	0.0477286
snack	0.0476367
snake	0.047528
strain	0.0475207
spill	0.0475187
pizazz	0.0474975
wrinkle	0.0474087
dent	0.04731
caveat	0.0472841
symptom	0.047172
juice	0.0470887
wink	0.0470129
bug	0.0468971
swelling	0.0467457
bag	0.0465735
inhalation	0.0465035
stigma	0.0461964
flu	0.0461737
combination	0.0458997
jab	0.0458252
sandwich	0.0457189
freshness	0.0456721
charm	0.0456017
meat	0.0454981
smirk	0.0454675
distraction	0.0453656
rust	0.0452284
layer	0.0451793
injection	0.0450919
zip	0.0450329
Correction	0.0449913
dehydration	0.0448194
consequence	0.0448159
insect	0.0447715
flesh	0.0446473
pothole	0.044497
tone	0.0444767
slant	0.044375
paw	0.0443464
tornado	0.0442699
slippage	0.0442074
humor	0.0441866
concussion	0.0441862
puff	0.0441304
mistake	0.0440603
tattoo	0.0439981
bacteria	0.0439432
dropoff	0.0438624
syndrome	0.0438602
"lung cancer"	0.043857
ailment	0.0438137
flaw	0.0437176
hemorrhage	0.0436812
breath	0.0436134
transfusion	0.0435888
blip	0.043529
downturn	0.0434362
drawback	0.0433435
warmth	0.0432875
toxin	0.0431133
"close call"	0.0430468
"heart disease"	0.0430373
reaction	0.0429888
lunch	0.0429101
fluctuation	0.0428455
serving	0.042829
"sense of humor"	0.0426914
specie	0.0425455
exaggeration	0.042531
"cardiovascular disease"	0.0424979
bitterness	0.0424582
Zing	0.0424482
whack	0.0423349
erosion	0.0423279
swagger	0.0422973
accident	0.0422769
accent	0.0422603
intensity	0.0421877
inconvenience	0.0421477
mishap	0.0421269
pleasure	0.0420619
substance	0.0419941
nose	0.0419874
disruption	0.0419203
fat	0.0417598
"brain tumor"	0.0417266
tannin	0.041664
cancer	0.0415957
Gash	0.041567
pneumonia	0.0414598
richness	0.0414364
glimpse	0.0414273
aggravation	0.0413335
fever	0.0413296
fume	0.0413273
scrape	0.0413166
breakdown	0.0412922
twister	0.041252
epidemic	0.041244
outbreak	0.0412175
malaria	0.0412089
kink	0.0411882
welt	0.0411594
catastrophe	0.0411226
spontaneity	0.0410961
"price increase"	0.041092
horsepower	0.0408447
subtlety	0.0408185
variation	0.0407956
inch	0.0407075
malnutrition	0.0406588
fruit	0.0405994
byte	0.04049
repercussion	0.0404802
Fragrance	0.0404682
disorder	0.0404592
dish	0.0404042
"loose end"	0.0403971
defect	0.0403781
"free time"	0.0402712
ingredient	0.04024
aftertaste	0.0401894
slowdown	0.0401859
shrapnel	0.0400881
"wear and tear"	0.0400546
irony	0.0400419
))
(bitter (desc 7007.41) (sims
passive	0.0854641
timid	0.072038
silly	0.0706167
antsy	0.0611492
stout	0.0592561
paranoid	0.0574119
"good person"	0.0572837
BRITTLE	0.0544089
picky	0.053342
ale	0.0512139
bubbly	0.0508067
"guardian angel"	0.0467072
"solid ground"	0.0461034
upfront	0.0458505
hawkish	0.0449562
offstage	0.044638
aftertaste	0.0432728
proactive	0.0423055
drier	0.0417588
brinkmanship	0.0402705
"close call"	0.0402503
))
(bitterness (desc 26518.1) (sims
anger	0.209183
resentment	0.196212
animosity	0.193343
mistrust	0.179566
sadness	0.166503
rancor	0.166049
distrust	0.161041
hatred	0.160041
frustration	0.158361
acrimony	0.149622
jealousy	0.146947
disappointment	0.146038
anxiety	0.141186
hostility	0.137963
confusion	0.137026
"ill will"	0.135527
regret	0.134145
tension	0.133551
cynicism	0.129367
suspicion	0.127355
outrage	0.12547
uncertainty	0.124733
insecurity	0.122708
disgust	0.12145
sorrow	0.120875
anguish	0.120411
feeling	0.119981
skepticism	0.118242
fear	0.117159
antagonism	0.116622
emotion	0.116512
grief	0.116258
enmity	0.11564
ambivalence	0.114628
despair	0.11323
prejudice	0.110195
discontent	0.109781
indignation	0.109496
alienation	0.109383
pain	0.108641
pride	0.108562
nervousness	0.108028
remorse	0.107888
dismay	0.106166
discomfort	0.105954
discord	0.105358
uneasiness	0.105349
desperation	0.103501
excitement	0.103123
unease	0.10311
malice	0.102936
apathy	0.102157
rage	0.101909
pessimism	0.101701
disbelief	0.101331
guilt	0.101228
disillusionment	0.101157
recrimination	0.0999594
loneliness	0.0994539
trepidation	0.0993399
friction	0.0992053
bewilderment	0.0991585
dissatisfaction	0.0991404
apprehension	0.0983677
fury	0.0976572
passion	0.0972821
irritation	0.097167
divisiveness	0.096809
partisanship	0.0964933
envy	0.0964631
shame	0.0962545
embarrassment	0.0961945
sarcasm	0.0959803
rivalry	0.0952567
helplessness	0.0939528
panic	0.0933935
dissension	0.092811
doubt	0.0927104
shock	0.0917141
wariness	0.0916358
misunderstanding	0.0913662
hopelessness	0.0906159
weariness	0.0896682
affection	0.0895143
sympathy	0.0894365
"good will"	0.0890615
angst	0.0885548
controversy	0.0884261
negativity	0.0878197
hesitation	0.0877649
rift	0.0859627
jubilation	0.0858818
sentiment	0.0858447
intrigue	0.0858078
melancholy	0.0856604
agony	0.085529
consternation	0.0853081
hate	0.0853001
nostalgia	0.0851019
"bad blood"	0.085098
horror	0.0849746
unhappiness	0.0848408
optimism	0.084807
astonishment	0.0845138
worry	0.0839734
disagreement	0.0839218
hardship	0.0838074
strife	0.0835323
Distress	0.0834407
misery	0.0832085
distaste	0.0830416
finger-pointing	0.0828976
humiliation	0.0828239
exasperation	0.0826536
racism	0.0825547
revulsion	0.0823521
bickering	0.0823129
disquiet	0.0822529
violence	0.0820403
unrest	0.081914
disdain	0.0817789
heartbreak	0.0811821
impatience	0.0810156
joy	0.0809863
polarization	0.0808915
intolerance	0.0808363
irony	0.0804747
terror	0.080438
annoyance	0.0804144
bloodshed	0.0801761
hysteria	0.0798207
"inferiority complex"	0.0797648
euphoria	0.0793506
enthusiasm	0.0792927
betrayal	0.0790914
instability	0.0790633
sense	0.0789785
trauma	0.0782804
turmoil	0.0782112
admiration	0.0778792
compassion	0.0770846
gloom	0.0770316
stress	0.0768728
disenchantment	0.0764635
contradiction	0.0763327
humility	0.0761975
reluctance	0.0754399
tenderness	0.0754263
displeasure	0.0744238
ignorance	0.0744003
fervor	0.0743761
contempt	0.0743242
urgency	0.074288
anti-Semitism	0.0742533
malaise	0.0741186
complacency	0.0739284
isolation	0.0735722
conflict	0.0735461
pity	0.0732677
warmth	0.0731826
emptiness	0.0730651
foreboding	0.0728467
adversity	0.0728247
happiness	0.0728153
chaos	0.0726063
yearning	0.0724724
desire	0.0723716
bias	0.0722061
incredulity	0.0719722
volatility	0.0718033
inequality	0.0717627
misgiving	0.0717078
restlessness	0.0714295
paranoia	0.0713387
ambition	0.0712833
futility	0.0712098
loyalty	0.0711225
sweetness	0.071084
defensiveness	0.0710252
indifference	0.0708418
antipathy	0.0704686
dread	0.0701152
fatigue	0.0700559
jitters	0.0699322
injustice	0.0698406
dislike	0.0698399
difference	0.0697684
backlash	0.0693662
criticism	0.0691104
aggravation	0.0688099
elation	0.0686861
discouragement	0.0685562
grudge	0.0685138
amazement	0.0684935
longing	0.0681982
humor	0.068147
Depression	0.0680775
pique	0.0680631
bigotry	0.0677066
nastiness	0.0676882
))
(bittersweet (desc 1936.18) (sims
"bittersweet chocolate"	0.195158
chevre	0.109721
"milk chocolate"	0.096246
"waiting game"	0.0786857
"condensed milk"	0.0704659
marshmallow	0.0700479
pancetta	0.0657332
"root beer"	0.0648042
"shiitake mushroom"	0.0639226
"cheddar cheese"	0.0632465
morsel	0.0618181
caramel	0.0609236
nonevent	0.0598221
heartening	0.0589221
penance	0.0566837
"snow pea"	0.0565976
"pork loin"	0.0561153
"scarlet letter"	0.0550913
"civic duty"	0.054758
toffee	0.0544672
expedient	0.0543442
"numbers game"	0.0531654
"sour grapes"	0.0527192
"tomato juice"	0.0508672
"shell game"	0.0506833
confection	0.0506398
"cranberry juice"	0.0490344
"jelly bean"	0.0486669
murder-suicide	0.0478802
hazelnut	0.0476949
icing	0.04756
"guardian angel"	0.0474773
"cream cheese"	0.0473253
"hush money"	0.046683
"triple play"	0.0464451
"goat cheese"	0.0461897
no-brainer	0.0461259
"evaporated milk"	0.0461019
cockiness	0.045938
whodunit	0.0458527
linguine	0.0458292
"day of reckoning"	0.0456375
raisin	0.0448521
margarine	0.0442359
"blue cheese"	0.0442219
"good story"	0.043863
"shock therapy"	0.0436567
copout	0.0434209
"beef tenderloin"	0.0429947
tortellini	0.0422413
macaroni	0.0421133
"traffic cop"	0.0416947
Bedlam	0.0415435
"Perfect Murder"	0.0415224
"American Dream"	0.0414163
outperformance	0.0413615
"almond extract"	0.0413441
Catch-@@	0.0412011
"change of mind"	0.041088
"pineapple juice"	0.0410117
"wishful thinking"	0.0409038
"Trojan Horse"	0.0408345
catharsis	0.040757
ETHICS	0.0407019
up-and-down	0.0406304
"chicken broth"	0.0403077
))
("bittersweet chocolate" (desc 1430.66) (sims
"milk chocolate"	0.196262
bittersweet	0.195158
chevre	0.181336
"plum tomato"	0.179819
"pork loin"	0.159901
"pork tenderloin"	0.144459
"red onion"	0.138651
"red bell pepper"	0.134667
"cream cheese"	0.13377
"shiitake mushroom"	0.119145
"garlic clove"	0.117218
"cheddar cheese"	0.114515
linguine	0.114043
"romaine lettuce"	0.113973
Parmigiano-Reggiano	0.112511
"bell pepper"	0.111186
"red pepper"	0.109433
Sirloin	0.107084
zucchini	0.104606
mozzarella	0.102803
pancetta	0.10042
carrot	0.0987461
"beef tenderloin"	0.0981632
tortellini	0.0969085
"green olive"	0.0945641
tofu	0.0940604
prosciutto	0.0931696
"goat cheese"	0.0927516
toffee	0.0910216
pineapple	0.0900102
"green bean"	0.0895959
"chicken breast"	0.0888736
"black olive"	0.0883359
shallot	0.0857112
"green onion"	0.0845897
fettuccine	0.0840775
"white bread"	0.0831194
scallion	0.0815993
"blue cheese"	0.0808842
"smoked salmon"	0.0804161
mango	0.0799455
papaya	0.0794893
cucumber	0.0791348
cantaloupe	0.0789329
walnut	0.0788407
Parmesan	0.0781963
turnip	0.0779219
spinach	0.0774347
"snow pea"	0.0769675
morel	0.0768067
"black bean"	0.076087
marshmallow	0.0759341
"vanilla bean"	0.0747059
fillet	0.0741639
hazelnut	0.0726871
"evaporated milk"	0.0723561
plum	0.0720883
eggplant	0.0720417
"root beer"	0.0711467
parsnip	0.0703909
"pine nut"	0.0697368
cranberry	0.0680266
asparagus	0.0675796
butterscotch	0.066411
celery	0.0657942
Or	0.064893
mesclun	0.0645401
raisin	0.0644413
"condensed milk"	0.0640011
leek	0.0635854
Broccoli	0.0629041
Cheddar	0.0621832
"cranberry juice"	0.0617003
salami	0.0606391
fig	0.060056
Gorgonzola	0.0598491
spaghetti	0.0583487
tequila	0.05826
"macadamia nut"	0.0581267
paprika	0.057904
RHUBARB	0.0576513
raspberry	0.0574516
"bean sprout"	0.0570207
"ground beef"	0.0561831
"green pepper"	0.0557597
chanterelle	0.0549308
halibut	0.054344
sauerkraut	0.0539402
"chocolate mousse"	0.0531075
"chicken broth"	0.0523537
"coconut milk"	0.0518912
tomatillo	0.0511392
chutney	0.0507973
"brussels sprout"	0.0507338
Kale	0.0498478
apricot	0.0496407
"maple syrup"	0.0492859
jalapeno	0.049272
tarragon	0.0490178
mascarpone	0.0488994
tails	0.0483345
Roquefort	0.04833
"cherry tomato"	0.0482754
"pineapple juice"	0.0481447
"hard-boiled egg"	0.0480775
pesto	0.048047
blueberry	0.0480194
"Swiss cheese"	0.0478313
"iceberg lettuce"	0.0477422
chard	0.0472019
"One-third cup"	0.0471272
"about @ ounces"	0.0471049
"leg of lamb"	0.0470477
fennel	0.0457087
one-inch	0.0455532
Cormier	0.0450265
"prickly pear"	0.0446797
pomegranate	0.0444154
polenta	0.0442872
watercress	0.044058
Cipollini	0.0439705
FETA	0.0430227
pistachio	0.04266
"sweet potato"	0.0425783
shortening	0.0424833
okra	0.042077
custard	0.0418222
lemongrass	0.0417906
"water chestnut"	0.0413985
"key rate"	0.0412092
"about @ cups"	0.0411649
Souffle	0.0408777
liqueur	0.0408527
"about @ cup"	0.0407735
"bank rate"	0.0406981
"Swiss chard"	0.0406821
"curry powder"	0.040505
))
(bitumen (desc 1143.81) (sims
LNG	0.148654
POTASH	0.13226
"coal gas"	0.130575
phosphate	0.1169
polyethylene	0.114307
"wheat flour"	0.111727
ethylene	0.108556
"fish meal"	0.107989
newsprint	0.101875
cobalt	0.10161
methanol	0.0990041
PVC	0.0971462
urea	0.0965774
"iron ore"	0.094841
"lubricating oil"	0.0941171
"rare earth"	0.0915739
"palm oil"	0.0889349
polypropylene	0.0874395
"diesel oil"	0.0852644
"mineral water"	0.0834843
hydrocarbon	0.0832917
"cashew nut"	0.0820614
wastewater	0.0812297
ammonia	0.0792698
ore	0.0790025
petrochemical	0.0787988
Copper	0.0785689
"electric power"	0.0782956
ingot	0.0772698
CFCs	0.0759694
biomass	0.0755731
cocoa	0.0742005
"fossil fuel"	0.0739174
"fuel oil"	0.0735327
Zinc	0.0731246
groundwater	0.0722524
"wind power"	0.0707853
"fish fillet"	0.0706019
"pig iron"	0.0705802
"polyvinyl chloride"	0.0701146
condensate	0.0680281
"sugar beet"	0.0678854
sugarcane	0.0668071
methane	0.0667564
"water hyacinth"	0.0655715
hydro	0.064874
"ground water"	0.0647348
"central heating"	0.0641506
OD	0.0641112
"vegetable oil"	0.064051
"sulfuric acid"	0.0640311
"dry ice"	0.0638046
"sulfur dioxide"	0.0635624
topsoil	0.0633957
"caustic soda"	0.0632348
phosphorus	0.0627923
eel	0.0617936
hydropower	0.061759
silt	0.0615907
"carbon dioxide"	0.0611693
aluminium	0.061136
boreholes	0.0608913
starch	0.0606873
"nitrogen oxide"	0.0605818
LPG	0.0605163
"powdered milk"	0.0597109
Seawater	0.058686
Gypsum	0.0585683
ODA	0.0574753
kerosene	0.0567741
"gas turbine"	0.056619
chloride	0.0563571
"steel plate"	0.0562202
pulp	0.0562162
"coffee bean"	0.0562029
GEF	0.0560882
Firewood	0.0557353
fibre	0.0552103
Auger	0.0548152
"cooking oil"	0.0547496
biogas	0.0545107
"liquefied petroleum gas"	0.0543812
resin	0.054027
"sewage disposal"	0.053867
bauxite	0.0537838
manganese	0.0537117
"fruit juice"	0.053562
"more than ten"	0.0533516
polyester	0.0528854
Bushehr	0.0521326
desalination	0.0519433
ammo	0.0512214
munition	0.0511836
"optical fiber"	0.0503131
"food grain"	0.0502082
Sulphur	0.0501521
prawn	0.0498221
"chemical agent"	0.0495968
oxide	0.0494689
SEABROOK	0.0492796
dioxide	0.0483576
"frozen food"	0.0482761
"citric acid"	0.0482491
"soya bean"	0.0481904
"fatty acid"	0.0481384
"grapefruit juice"	0.0476896
chlorine	0.0476104
rubbish	0.0473762
latex	0.0473521
CPO	0.047281
"nitrous oxide"	0.04717
Wetland	0.0471093
lint	0.0470087
"solar energy"	0.0467587
saline	0.0467523
beryllium	0.0466322
matzo	0.0462306
"picture tube"	0.0461186
"chemical compound"	0.0460798
sewerage	0.0459686
"alcoholic beverage"	0.04594
ECW	0.0459186
"tap water"	0.0457408
barley	0.045568
"freshwater fish"	0.0453259
"Bordeaux wine"	0.04512
magnesium	0.0450973
tremolite	0.044823
ethanol	0.0447466
"carbon monoxide"	0.0446561
"water heater"	0.0444831
"fresh food"	0.044469
DAP	0.0443914
Sebaggala	0.0443658
PCBs	0.0441714
titanium	0.0441703
"diesel fuel"	0.0441488
rainwater	0.044076
aquatics	0.0440193
Phentermine	0.0437188
"electric light"	0.0435446
gelatin	0.0435037
Calcium	0.0431744
polyurethane	0.0431693
Tyre	0.0430754
"sparkling wine"	0.0430211
CCF	0.0428945
benzene	0.0428333
"Multimedia Super Corridor"	0.0425244
FOREX	0.0425172
buckwheat	0.0425014
"electronic equipment"	0.0422342
seabed	0.0421486
buttermilk	0.0419452
cellulose	0.0418763
"heavy water"	0.0418392
helium	0.0417368
compressor	0.0412189
silicon	0.0410183
"pet food"	0.0405327
"billion yuan"	0.0405037
cornmeal	0.0402942
Caspian	0.0401257
billet	0.0400486
))
("Bixente Lizarazu" (desc 2242.25) (sims
"Marcel Desailly"	0.416724
"Laurent Blanc"	0.281553
"Lilian Thuram"	0.267446
"Christian Karembeu"	0.237652
"Didier Deschamps"	0.210459
"Emmanuel Petit"	0.198303
"Patrick Vieira"	0.151822
"Robert Jarni"	0.150594
"Thierry Henry"	0.150089
"Youri Djorkaeff"	0.141259
"Zinedine Zidane"	0.130459
"Lothar Matthaeus"	0.109833
"Fan Zhiyi"	0.10194
"Zvonimir Boban"	0.0950384
"Christophe Dugarry"	0.0939218
"Fabien Barthez"	0.0924514
"Junior Baiano"	0.0815919
"Roberto Carlos"	0.0815203
"Gary Neville"	0.0801172
Aldair	0.0788161
"David Trezeguet"	0.0783955
"Dan Petrescu"	0.0782983
Djorkaeff	0.0779278
Zidane	0.0702061
"Ronald de Boer"	0.0687911
"Kate Sobrero"	0.068581
"Paolo Maldini"	0.0668649
"Joy Fawcett"	0.0667833
"Jaap Stam"	0.0666018
"Robin Fraser"	0.0665701
"Hidetoshi Nakata"	0.0658972
"Paul Ince"	0.0642687
"Fernando Hierro"	0.0641057
"Thomas Haessler"	0.0626572
"Marc Overmars"	0.062404
"Carla Overbeck"	0.0622503
"Frank de Boer"	0.0616062
Blanc	0.0611406
"Paul Caligiuri"	0.0610896
"Fabrizio Ravanelli"	0.0600969
"Robert Pires"	0.0600658
"Mario Stanic"	0.0592952
Cafu	0.0587269
"Claudio Reyna"	0.0581669
Hagi	0.0568262
"Frankie Hejduk"	0.0565698
Bastia	0.0561422
"Ali Daei"	0.0559427
"Eddie Pope"	0.0557575
"Edgar Davids"	0.0551884
"Eddie Lewis"	0.0550453
"Tony Adams"	0.0547578
"Thomas Dooley"	0.0538082
"Tab Ramos"	0.0537292
"Kevin Mathis"	0.053717
"Sinisa Mihajlovic"	0.0532357
"Sol Campbell"	0.052498
Nakata	0.0519794
"Steve McManaman"	0.0519134
"Paris St Germain"	0.0518934
"Alessandro Del Piero"	0.0513886
"Dejan Stankovic"	0.0513098
"Leonel Alvarez"	0.0508155
libero	0.0505887
"Diego Simeone"	0.0501266
"Greg Vanney"	0.0500813
"Dejan Savicevic"	0.049903
"Mike Burns"	0.0493262
Juninho	0.0492287
"Trace Armstrong"	0.0491983
"Julie Foudy"	0.0489466
"Paul Merson"	0.0484421
"Carlos Valderrama"	0.0481163
"Marcelo Balboa"	0.048072
"Paul Scholes"	0.0480704
"Travis Hall"	0.0477585
"Jorge Campos"	0.047619
Brondby	0.0475844
"Brandi Chastain"	0.0474209
Dele	0.0472143
"Jeff Agoos"	0.0472139
"Pete Holland"	0.0460932
Duisburg	0.0453197
"Robert Prosinecki"	0.0439677
sweeper	0.0437053
Gascoigne	0.0435348
"Luigi Di Biagio"	0.0435231
"Andreas Moeller"	0.0429041
Sissi	0.0421559
Laperriere	0.0417982
"Gheorghe Hagi"	0.0416912
"Michael Laudrup"	0.0416766
"Daryl Johnston"	0.0414675
"Ricky Moore"	0.0414115
"Chuck Smith"	0.0413064
"John Harkes"	0.040967
"Michelle Akers"	0.0407988
"Mark Bosnich"	0.0406481
"Alexi Lalas"	0.0406266
"Phillip Cocu"	0.040543
"Michael Strahan"	0.0401797
"Lester Archambeau"	0.040159
))
(Biz (desc 4417.48) (sims
ECON	0.100863
MARKETWATCH	0.0865306
Dems	0.063684
junkie	0.057846
"snake eyes"	0.0573899
exec	0.0507189
retailing	0.0500605
"Titan A.E."	0.049522
cognoscenti	0.0467862
Jawbreaker	0.046766
Tootsie	0.0464139
"show business"	0.0453863
"Natural Born Killers"	0.0443678
mag	0.0443316
"high fidelity"	0.044198
"chicken run"	0.0422576
deliveryman	0.0415066
"L.A Confidential"	0.0414909
superstore	0.0409469
"Cruel Intentions"	0.0402835
execs	0.0401445
"Opium War"	0.0400577
))
("Bizima Karaha" (desc 1430.81) (sims
"Joschka Fischer"	0.28292
"David Levy"	0.231652
"Ieng Sary"	0.229884
"Wolfgang Schuessel"	0.221419
"Tang Jiaxuan"	0.219706
"Ariel Sharon"	0.219191
"Lamberto Dini"	0.191769
"Igor Ivanov"	0.188781
"Hashim Thaci"	0.187865
"Yossi Sarid"	0.186354
"Xanana Gusmao"	0.182004
"Abdullah Ahmad Badawi"	0.181075
"Kamal Kharrazi"	0.178217
"Jaswant Singh"	0.169016
"William Hague"	0.169005
"Hubert Vedrine"	0.167454
"Joseph Bruno"	0.156633
"Sartaj Aziz"	0.148755
"Seamus Mallon"	0.146707
"Kim Yong Nam"	0.143056
"Pierre Buyoya"	0.142743
"Klaus Kinkel"	0.142178
"Lakhdar Brahimi"	0.140997
"David Duke"	0.139794
"Tariq Aziz"	0.135321
"Louis Farrakhan"	0.135151
"Vuk Draskovic"	0.134964
"Carl Bildt"	0.134963
"Faisal Husseini"	0.133257
"Martin Lee"	0.133021
"Aryeh Deri"	0.13127
"Lokendra Bahadur Chand"	0.128027
"Natan Sharansky"	0.127077
"Zoran Djindjic"	0.125442
"Wolfgang Schaeuble"	0.124704
"Haim Ramon"	0.124182
"Alexander Shokhin"	0.123453
"Li Zhaoxing"	0.122663
"Richard Gephardt"	0.122015
Wamba	0.120729
"Foday Sankoh"	0.120236
"Ismail Cem"	0.119559
"Amien Rais"	0.118771
"Khaleda Zia"	0.118646
"John Taylor"	0.118069
"Vojislav Seselj"	0.117987
"Ian Paisley"	0.117311
"Mikulas Dzurinda"	0.117059
"Yitzhak Mordechai"	0.117024
"John Prescott"	0.116963
"Gulbuddin Hekmatyar"	0.116071
"Gennady Zyuganov"	0.115406
"Tansu Ciller"	0.115227
"Viktor Orban"	0.114438
"Nabil Shaath"	0.114188
"Moammar Gadhafi"	0.1139
"Tim Fischer"	0.113618
"Ayatollah Ali Khamenei"	0.111797
"Martin McGuinness"	0.111368
"Abdullah Ocalan"	0.111208
"Qian Qichen"	0.110401
Buyoya	0.110065
"Sher Bahadur Deuba"	0.109293
"David Trimble"	0.108304
"Chavalit Yongchaiyudh"	0.105324
"Necmettin Erbakan"	0.104716
"Ibrahim Rugova"	0.104194
"George Robertson"	0.104
"Boris Nemtsov"	0.103705
"Roosevelt Johnson"	0.103182
"John Hume"	0.102933
"Gerry Adams"	0.102485
"Ivan Kostov"	0.102246
"John Anderson"	0.102171
D-Mo.	0.102163
al-Sharaa	0.101398
"Helen Clark"	0.101357
"Robin Cook"	0.100778
Jayakumar	0.100172
"Jenny Shipley"	0.0997477
"Howard Baker"	0.0993336
"Pervez Musharraf"	0.098941
"Bernard Kouchner"	0.0987514
"Michael Portillo"	0.0973218
"Alija Izetbegovic"	0.0971732
"Pol Pot"	0.0968987
Chand	0.0965798
"Robert Guei"	0.0961779
Buthelezi	0.0954625
"Shimon Peres"	0.0954217
"Dick Gephardt"	0.0953217
"Aslan Maskhadov"	0.0950109
"Yevgeny Primakov"	0.0948943
"Grigory Yavlinsky"	0.0932747
"Benazir Bhutto"	0.0931498
Shaath	0.0930417
"Yossi Beilin"	0.0929122
"Amr Moussa"	0.0924724
"Aung San Suu Kyi"	0.0924101
"Radovan Karadzic"	0.0923536
"Hans von Sponeck"	0.0923174
"Rashid Dostum"	0.0922177
Al-Faisal	0.0920216
"Wang Yingfan"	0.091978
"Johnny Paul Koroma"	0.0914138
Toiv	0.09105
"Mesut Yilmaz"	0.0909514
"Kim Il Sung"	0.0905551
"Xie Zhenhua"	0.089211
"Hanan Ashrawi"	0.089205
"Dick Armey"	0.0889857
Igor	0.0883157
Harmoko	0.0876515
Blix	0.0874656
Ivanov	0.0871633
"Tom Daschle"	0.087083
"Bashkim Fino"	0.0869896
"Lee Kuan Yew"	0.0868252
"Yukio Hatoyama"	0.0865497
"Igor Sergeyev"	0.0859302
"H.D Deve Gowda"	0.0852647
"Yuri Maslyukov"	0.0843624
"Bertie Ahern"	0.0841736
"Begum Khaleda Zia"	0.0840421
"Renato Ruggiero"	0.0840283
Sarid	0.0837357
"Joerg Haider"	0.0836716
"Fayez Tarawneh"	0.0834344
"Yasser Abed Rabbo"	0.0832906
"Mo Mowlam"	0.082864
"Oskar Lafontaine"	0.0828022
"Richie Phillips"	0.0822605
"Megawati Sukarnoputri"	0.0820531
"Long Yongtu"	0.0819214
"Shi Guangsheng"	0.0817087
"George Speight"	0.08164
"Wang Dan"	0.0814669
"Eisuke Sakakibara"	0.0810967
Boueiz	0.0807651
"Vladimir Zhirinovsky"	0.0805356
"Sergei Stepashin"	0.0801915
"Keizo Obuchi"	0.0801749
"Ta Mok"	0.0801155
Shevardnadze	0.0800838
"Adem Demaci"	0.0800109
"Paul Keating"	0.0799403
"Atal Behari Vajpayee"	0.0797729
"Chuan Leekpai"	0.0794975
R-Miss.	0.0794602
"Tin Oo"	0.0793744
"Amnuay Virawan"	0.0793223
"Mikhail Gorbachev"	0.0789977
Aziz	0.0787968
"Mikhail Kasyanov"	0.0787519
"Vojislav Kostunica"	0.0783729
"George Mitchell"	0.0783725
Obeid	0.078326
"Wei Jianxing"	0.0779537
"Megawati Soekarnoputri"	0.0777807
Broek	0.0776745
Bouteflika	0.0776415
Rais	0.0776206
"Le Kha Phieu"	0.0774953
Hekmatyar	0.0772229
"Wu Yi"	0.0765292
"Nur Misuari"	0.0764017
Schuessel	0.0762653
"Sonia Gandhi"	0.075998
Izetbegovic	0.0754829
"Michael Heseltine"	0.075339
"Khieu Samphan"	0.0749464
Shahak	0.0741052
"Jonas Savimbi"	0.0741047
Kagame	0.0740538
"Milos Zeman"	0.0735806
"Ali Mahdi Mohamed"	0.0735228
"Massimo D'Alema"	0.0735155
"Marzuki Darusman"	0.0733396
"Don Nickles"	0.0732089
D-S.D.	0.0732052
"Hans Blix"	0.0730618
"Saeb Erekat"	0.0728618
"Atal Bihari Vajpayee"	0.0728094
"Yasser Arafat"	0.072681
"John Howard"	0.0724645
"Silvio Berlusconi"	0.0724584
"Ricardo Alarcon"	0.0724558
"Abdurrahman Wahid"	0.0721001
"Bulent Ecevit"	0.0720469
Nazarbayev	0.0717865
Djindjic	0.0716416
"Wen Jiabao"	0.0715042
"I.K Gujral"	0.0711649
"Li Lanqing"	0.0706538
"Kiichi Miyazawa"	0.070582
"Than Shwe"	0.0704884
"Jose Ramos-Horta"	0.0703758
"Sam Rainsy"	0.070059
"Xiong Guangkai"	0.0699435
"John Major"	0.0697647
))
(Bizimungu (desc 1323.94) (sims
Mkapa	0.226806
Karimov	0.205806
Stoyanov	0.201872
Constantinescu	0.200819
Ciampi	0.186696
Nujoma	0.186549
Kagame	0.185649
Sumaye	0.184322
Scalfaro	0.178451
Klestil	0.176819
Yazdi	0.175065
Azad	0.175023
"de Charette"	0.173781
Nazarbayev	0.171716
Santer	0.171394
Kasoulides	0.170684
Akayev	0.169016
Rau	0.168296
Scharping	0.168029
Gowda	0.167486
Leghari	0.166421
Niyazov	0.164595
Zeroual	0.163663
Museveni	0.162638
Bolger	0.16194
Narayanan	0.160592
Banharn	0.15988
Velayati	0.159868
Aventajado	0.158615
Advani	0.157371
Singson	0.156521
Phieu	0.155113
Chissano	0.15462
Ruehe	0.154455
Masire	0.153257
Diouf	0.152279
Neeman	0.152238
Frei	0.148626
Brundtland	0.148618
Guterres	0.148462
Koirala	0.148079
Weizman	0.147624
Muluzi	0.147346
Kwasniewski	0.1465
Khalil	0.145469
Gosper	0.144431
Lipponen	0.144191
Arbour	0.143587
Vasile	0.14356
Holl	0.142285
Murayama	0.141644
Ikimi	0.141439
Majali	0.14128
Sharma	0.140777
Dehaene	0.140595
Deuba	0.14036
Moi	0.140235
Husseini	0.140077
Saleh	0.139747
Bubb	0.138603
Pangalos	0.138353
Kharrazi	0.138346
Zadornov	0.138229
Gujral	0.137932
Wolfensohn	0.137808
Waigel	0.137735
Pustovoitenko	0.137665
Vogts	0.137315
Boueiz	0.137191
Alarcon	0.136455
Rifkind	0.136169
Shevardnadze	0.136148
Yastrzhembsky	0.135909
Dini	0.134999
Khai	0.134513
Juppe	0.13427
Mugabe	0.134106
Aleman	0.133675
Tsang	0.13355
Demaci	0.132726
Cavallo	0.132595
Rais	0.132161
Ikeda	0.130989
Hasina	0.130789
Abdel-Meguid	0.130708
Portillo	0.130706
"De Klerk"	0.130635
Cem	0.130525
Meguid	0.130407
Sato	0.130176
Maslyukov	0.129948
Luong	0.129421
"Lee Hsien Loong"	0.12904
Hrawi	0.128978
Papandreou	0.128898
"Bill Skate"	0.127367
Mokhehle	0.127134
Ganzouri	0.127106
Zuma	0.126981
Rodionov	0.125794
Buzek	0.124556
Lukashenko	0.124333
Ogata	0.123736
Berri	0.123507
Rabbani	0.122902
Kabariti	0.122272
el-Bashir	0.121494
Klima	0.12145
Chavalit	0.121222
Yilmaz	0.121066
Salim	0.120766
Jovanovic	0.120282
Buyoya	0.120257
Moratinos	0.120227
Juma	0.120146
Rashid	0.120093
Demirel	0.119842
Nano	0.119456
Fernandes	0.119025
Bildt	0.11871
Surin	0.118606
Barshefsky	0.118486
Kostov	0.118344
Shaath	0.118273
Majko	0.118124
Thayer	0.117802
Vollebaek	0.117787
Rakhmonov	0.117219
Chiluba	0.116913
Sergeyev	0.116772
Kromah	0.116582
Skuratov	0.116405
Carollo	0.116286
Tian	0.116253
"Orlando Mercado"	0.115536
Ribbeck	0.115335
Eizenstat	0.115118
"Bashkim Fino"	0.114929
Shareh	0.114712
Camdessus	0.114692
Iliescu	0.114491
Wenger	0.114258
Reimer	0.114125
Jayakumar	0.114101
Sanan	0.113974
Alatas	0.113887
Granic	0.113861
Aziz	0.113785
Harmoko	0.113317
Kyprianou	0.113171
Schaeuble	0.112908
Ahtisaari	0.112707
Tella	0.112705
Bashir	0.112648
Komura	0.112361
"Sam Nujoma"	0.112349
Dodik	0.111808
Stroyev	0.111423
Rafsanjani	0.111381
Erbakan	0.111341
Qiao	0.111251
Hamad	0.111219
Eyadema	0.111191
Modise	0.110787
Cowens	0.110486
Rawlings	0.110397
Kumar	0.110346
"Pasteur Bizimungu"	0.110307
Menem	0.109879
Nasrallah	0.109657
al-Sahaf	0.109587
Sampaio	0.109403
Beckwith	0.108873
Catacosinos	0.108797
Goh	0.108769
Mordechai	0.108722
Orban	0.10839
Nzo	0.108145
Joklik	0.108005
Yadav	0.107852
Gaddafi	0.107749
"President Lee Teng-hui"	0.107298
Vance	0.106929
Samper	0.106923
Mahuad	0.106872
Satcher	0.106659
Borodin	0.106569
Schottenheimer	0.106472
Soares	0.106412
Pickering	0.106349
Conte	0.106197
Manley	0.106152
Piot	0.106133
Hoddle	0.105987
Insulza	0.105827
Koo	0.105573
Guei	0.105309
Hashimoto	0.10501
Kaunda	0.104959
Ramos	0.104817
Baer	0.104667
Westendorp	0.104556
Zhirinovsky	0.104282
Ashrawi	0.104175
Mikhailov	0.10413
"Dos Santos"	0.103813
Hu	0.103786
"Krishna Prasad Bhattarai"	0.103594
Thapa	0.103556
silber	0.103189
Tarrin	0.103161
"Necmettin Erbakan"	0.102761
Prodi	0.10275
Benazir	0.102594
LeBlanc	0.102548
Siazon	0.102256
Chirac	0.102029
Hanley	0.102016
Seleznyov	0.10184
Seselj	0.101735
Ishihara	0.101682
Mukora	0.101675
Shipley	0.101649
Meles	0.101618
Mandela	0.101572
Lari	0.1015
Mbeki	0.101414
Bakaly	0.101171
Wahid	0.101094
Solana	0.100884
Soyinka	0.100866
Lahoud	0.100552
Patasse	0.100498
Rivlin	0.100167
Zedillo	0.100001
))
("Bjarne Riis" (desc 2170.4) (sims
"Miguel Indurain"	0.286281
"Marco Pantani"	0.255922
"Francesco Casagrande"	0.21025
"Alex Zulle"	0.204505
"Peter Rasmussen"	0.193087
Pantani	0.19181
Ullrich	0.190405
"Pavel Tonkov"	0.186797
"Richard Virenque"	0.186053
"Johan Museeuw"	0.18143
"Erik Zabel"	0.177004
"Alex Zuelle"	0.172784
"Laurent Dufaux"	0.166143
"Poul-Erik Hoyer-Larsen"	0.164544
"Chris Boardman"	0.161332
"Laurent Brochard"	0.159289
"Bobby Julich"	0.157462
"Lance Armstrong"	0.157311
"Wilson Kipketer"	0.155145
"Abraham Olano"	0.150668
"Tyler Hamilton"	0.15015
"Juha Kankkunen"	0.148689
"Laurent Jalabert"	0.148359
"Peter Gade Christensen"	0.143528
"Tom Steels"	0.142607
"Camilla Martin"	0.142451
"Moses Tanui"	0.137394
"Brooke Bennett"	0.133294
"Fernando Escartin"	0.132416
Jalabert	0.131692
"Kenneth Carlsen"	0.127615
"Tegla Loroupe"	0.1269
"Paul Tergat"	0.126678
Zabel	0.124841
"Stuart O'Grady"	0.124554
Kipketer	0.123259
"Michele Bartoli"	0.122308
Tanui	0.121925
"Tommi Makinen"	0.121733
"Billy Boat"	0.120022
"Fu Mingxia"	0.119306
"Answer Lively"	0.117719
"Didier Auriol"	0.116617
Sainz	0.114421
Zuelle	0.114421
"Hilde Gerg"	0.110252
"Fatuma Roba"	0.109891
"Wang Chunlu"	0.109156
"Dario Franchitti"	0.109144
"Yang Yang"	0.10861
Olano	0.108357
"Katja Seizinger"	0.108159
"Christian Fittipaldi"	0.106965
"Hiroyasu Shimizu"	0.1058
"Thomas Stangassinger"	0.104845
"Thomas Bjorn"	0.104592
"Ron Dayne"	0.104436
"Michael Von Gruenigen"	0.10433
"Kenny Brack"	0.104154
"David Coulthard"	0.103988
"Alexandra Meissnitzer"	0.103805
Virenque	0.103459
"Lasse Kjus"	0.103428
"Carlos Sainz"	0.102071
"Jimmy Vasser"	0.10203
Brondby	0.101982
"Colin McRae"	0.0999849
"Alexei Urmanov"	0.0991952
"Bjarte Engen Vik"	0.0989286
"Gabriela Szabo"	0.0984471
"Isolde Kostner"	0.098166
Sautin	0.0980299
Julich	0.0980199
"Renate Goetschl"	0.0965611
"Derrick Adkins"	0.096287
"Martin Schmitt"	0.0959006
Longo	0.0955408
"Elena Berezhnaya"	0.0948745
"Koji Ito"	0.0948656
"Desert Hero"	0.0946488
Svorada	0.0945284
"Sonia O'Sullivan"	0.0941868
Makinen	0.0927228
"Deborah Compagnoni"	0.0924029
"Sandra Voelker"	0.0920052
"Claudia Pechstein"	0.09167
"Heinz-Harald Frentzen"	0.0915638
"Gail Devers"	0.0913465
"Scott Pruett"	0.0897542
"Irina Privalova"	0.0887675
"Alex Zanardi"	0.0878832
"Picabo Street"	0.0877362
"Simona Amanar"	0.0874797
"Svetlana Khorkina"	0.0871604
Daylami	0.0868396
"Ji Xinpeng"	0.0867939
"Michael Andretti"	0.0862703
"Juan Montoya"	0.0862522
"Eddie Cheever"	0.0860023
"Mercatone Uno"	0.0856086
"Elvis Stojko"	0.0854479
"Liu Limin"	0.0853804
"Michael Doohan"	0.0850764
"Hermann Maier"	0.085071
"Yu Zhuocheng"	0.0849989
"Damon Hill"	0.0844805
"Jeff King"	0.0837447
"Claudia Poll"	0.0834975
"Kimberlite Pipe"	0.0830069
"Guo Jingjing"	0.0829453
"Jacques Villeneuve"	0.0828714
"Worldly Manner"	0.0827748
"Rintje Ritsma"	0.0827698
"Scott Goodyear"	0.0823818
"Zoran Primorac"	0.0820912
"Jorgen Persson"	0.0819156
"Joko Suprianto"	0.0818826
"MIka Hakkinen"	0.0815674
"Ricky Rudd"	0.0812548
"Anjelika Krylova"	0.0811573
"Regina Jacobs"	0.0809114
"Maria Mutola"	0.0807764
"Doak Walker"	0.0806558
"Svetlana Masterkova"	0.0805717
"Gunda Niemann-Stirnemann"	0.080376
"River Keen"	0.0799083
"Gianni Romme"	0.0798072
"Gil Morgan"	0.0797543
"Seattle Slew"	0.0788103
"Free House"	0.0787281
"Dale Jarrett"	0.0781867
"Maria Butyrskaya"	0.0781692
"Eddie Irvine"	0.0774788
Vasser	0.077324
"Jeremy Wotherspoon"	0.0770423
Hentgen	0.077011
"Lemon Drop Kid"	0.0769517
"Bobby Labonte"	0.0768958
"Liu Xuan"	0.0768878
Maier	0.0768558
"Arie Luyendyk"	0.0767716
Pippig	0.0767079
Luyendyk	0.0765958
"Tom Dolan"	0.0765427
"Wang Yan"	0.0765029
"Heike Drechsler"	0.0763861
"Juli Inkster"	0.0763333
"Mario Cipollini"	0.0758459
"Billy Mayfair"	0.0753367
"Li Jiajun"	0.0753009
"Rainer Schuttler"	0.0751421
"Ivan Ivankov"	0.0748222
"Inger Miller"	0.074807
"Richard Burns"	0.0745352
"Olin Browne"	0.0739437
"Bernhard Langer"	0.0738508
Cipollini	0.0735767
"High Yield"	0.0735304
"Deon Hemmings"	0.0734486
Polti	0.0730332
Adonis	0.0722922
"Darrell Waltrip"	0.0722396
"Sergi Bruguera"	0.0718415
"Vanessa Atler"	0.0716586
"Jubilo Iwata"	0.071631
Anees	0.0714061
"Ivan Pedroso"	0.0711384
"Mark Crear"	0.0710532
"Ye Zhaoying"	0.0710242
"John Godina"	0.0707186
"Maurice Greene"	0.0704579
"Pernilla Wiberg"	0.0702366
"Victory Gallop"	0.070051
"Oksana Kazakova"	0.0700217
Doohan	0.0700179
Heyns	0.0699843
"Max Biaggi"	0.069983
"Beautiful Pleasure"	0.0697963
"Wu Yanyan"	0.069496
"Bryan Herta"	0.0694321
"Matt Kuchar"	0.0689994
"Jeff Burton"	0.0689852
"Paul Tracy"	0.0686547
"Martina Ertl"	0.0686352
"Wang Tao"	0.0684494
Bartoli	0.068362
Ottey	0.068346
"Buddy Lazier"	0.0683285
"Frank Nobilo"	0.0682112
Kjus	0.0682077
"Lee Janzen"	0.0679242
"HANK KUEHNE"	0.0678552
"Ricky Subagja"	0.0677665
"Alexei Yagudin"	0.0674958
"Paul Lawrie"	0.0674696
"Karrie Webb"	0.0673864
vicar	0.0673525
Aamodt	0.0671563
Bruguera	0.0671483
"bicycle race"	0.0664347
))
("Bjarte Engen Vik" (desc 1666.72) (sims
"Lasse Kjus"	0.380174
"Martin Schmitt"	0.244762
"Kjetil Andre Aamodt"	0.242555
"Christian Ruud"	0.228571
"Thomas Stangassinger"	0.209988
"Katja Seizinger"	0.209729
"Hermann Maier"	0.194812
"Wang Yifu"	0.185797
Rosenborg	0.182497
"Michele Bartoli"	0.172502
"Renate Goetschl"	0.17052
"Alexei Urmanov"	0.170224
"Tom Dolan"	0.169848
"Isolde Kostner"	0.165142
"Max Biaggi"	0.161911
"Michael Doohan"	0.161656
"Fatuma Roba"	0.161347
Schmitt	0.158635
"Derrick Adkins"	0.155431
"Deborah Compagnoni"	0.154646
"Deon Hemmings"	0.154634
"Johan Museeuw"	0.152665
"Gianni Romme"	0.151361
"Amy van Dyken"	0.149469
"Hiroyasu Shimizu"	0.147023
"Miguel Indurain"	0.146689
"Pernilla Wiberg"	0.146645
"Gary Hall"	0.145956
"Felix Savon"	0.142359
"Fiona May"	0.141378
"Elena Berezhnaya"	0.140975
"Oksana Kazakova"	0.139403
"Picabo Street"	0.138915
"Brooke Bennett"	0.136267
"Alexandra Meissnitzer"	0.13571
"Li Jiajun"	0.13353
"Claudia Poll"	0.132668
"Svetlana Khorkina"	0.13258
"Michael Von Gruenigen"	0.131986
"Rintje Ritsma"	0.131832
"Marie-Jose Perec"	0.130559
"Maria Butyrskaya"	0.13033
"Paul Tergat"	0.128952
"Chen Lu"	0.128734
"Penny Heyns"	0.128413
"Sonia O'Sullivan"	0.128313
"Tommi Makinen"	0.127518
"Katarina Witt"	0.125302
"Allen Johnson"	0.122231
"Fu Mingxia"	0.121282
"Oksana Baiul"	0.119632
"Svetlana Masterkova"	0.118976
"Jeremy Wotherspoon"	0.118819
"Chris Boardman"	0.117994
"Liu Limin"	0.117733
"Moses Tanui"	0.1159
"Laurent Jalabert"	0.115085
"Sandra Voelker"	0.115042
"Pavel Tonkov"	0.114873
"Hilde Gerg"	0.114603
Seizinger	0.113924
"Martina Ertl"	0.113638
"Charles Austin"	0.11316
Meissnitzer	0.1127
"Irina Privalova"	0.11247
"Noureddine Morceli"	0.111044
"Francesco Casagrande"	0.110649
"Tom Steels"	0.110038
"Anjelika Krylova"	0.10998
"Susie O'Neill"	0.109569
Longo	0.106885
"Alexander Popov"	0.106262
"Susi Susanti"	0.105839
"Rexy Mainaky"	0.104343
"Ricky Subagja"	0.103958
"Tara Lipinski"	0.103334
"Alexei Nemov"	0.102751
"Dan O'Brien"	0.10243
"Anita Wachter"	0.101096
"Colin McRae"	0.10045
Shuwei	0.100194
"John Godina"	0.100141
"Dong Jiong"	0.0999066
"Carlos Sainz"	0.0998921
"Kieren Perkins"	0.0997866
"Kong Linghui"	0.0997156
"Todd Eldredge"	0.0995734
"Frankie Fredericks"	0.0994076
"Xiong Ni"	0.099024
"Daniel Komen"	0.0989406
"Bjarne Riis"	0.0989286
"Jan-Ove Waldner"	0.098856
"Jenny Thompson"	0.0985478
"Alberto Tomba"	0.0982905
"Lin Li"	0.0976698
"Alex Zuelle"	0.0968587
"Liu Guoliang"	0.0968372
"Gail Devers"	0.096767
"Yu Zhuocheng"	0.0964905
"Deng Yaping"	0.0962029
"Abraham Olano"	0.096008
"Wilson Kipketer"	0.0959345
"Marina Anissina"	0.0959057
"Ge Fei"	0.0958176
"Koji Ito"	0.0953482
"Denis Pankratov"	0.0951048
Jalabert	0.0943639
"Cathy Freeman"	0.0940279
"Heike Drechsler"	0.0937928
"Gunda Niemann-Stirnemann"	0.0934198
Zabel	0.0928492
"Alexei Yagudin"	0.0921536
"Le Jingyi"	0.0912439
Statoil	0.0910215
"Erik Zabel"	0.091008
"Chen Jing"	0.0906358
"Michelle Smith"	0.089344
"Gabriela Szabo"	0.0892373
Maier	0.0892317
Khorkina	0.0890331
kayaker	0.0883779
"Maria Mutola"	0.0878404
"Michelle Kwan"	0.0874186
"Jackie Joyner-Kersee"	0.0872477
"Jubilo Iwata"	0.08656
"Linford Christie"	0.0858142
"Ivan Ivankov"	0.0856988
"Elvis Stojko"	0.0856809
"Tegla Loroupe"	0.0854954
"MIka Hakkinen"	0.0848994
"Haile Gebrselassie"	0.0847318
"Cheah Soon Kit"	0.0841434
"Wang Junxia"	0.0840256
"Joko Suprianto"	0.0830521
"Daniel Kowalski"	0.0828173
"Jacques Villeneuve"	0.0827877
"Richard Burns"	0.0826714
"Stuart O'Grady"	0.0826196
"Shannon Miller"	0.0815698
"Wang Tao"	0.0813875
Ertl	0.0807987
"Donovan Bailey"	0.080773
"Chen Hua"	0.0803395
"Blaine Wilson"	0.0800214
Doohan	0.0799032
"Juha Kankkunen"	0.0795095
"Yang Yang"	0.078264
"David Reid"	0.0782121
"Didier Auriol"	0.0782017
Trondheim	0.0781326
"Nancy Kerrigan"	0.0781207
Zamalek	0.0774973
Devers	0.0770794
"Al Joyner"	0.0767217
"Hicham El Guerrouj"	0.0762179
"DPR Korea"	0.0760089
McLaren-Mercedes	0.0757561
"Andre Agassi"	0.0753229
"Marco Pantani"	0.0751416
"Frank Nobilo"	0.0751096
"Tian Liang"	0.0744319
"Buster Douglas"	0.0743249
"Gary Hall Jr."	0.0741348
"Vanessa Atler"	0.074113
"Ivan Pedroso"	0.073782
Aoki	0.0732516
"Marc Rosset"	0.0731745
"Dominique Moceanu"	0.0729482
"Scott Pruett"	0.0729206
"Florence Griffith Joyner"	0.0726625
"Tore Andre Flo"	0.0725383
"Liu Xuan"	0.0720951
"Michael Schumacher"	0.0720865
"Jeff King"	0.0718404
Olano	0.0717429
"Carl Lewis"	0.0715194
"Shanghai Shenhua"	0.0712637
"Rodney Eyles"	0.0708624
"Eddie Irvine"	0.070838
"Mario Cipollini"	0.0703272
"Merlene Ottey"	0.070198
"Claudia Pechstein"	0.0700568
Makinen	0.0698975
"Laurent Brochard"	0.0698018
"Damon Hill"	0.0694459
"Yevgeny Kafelnikov"	0.0692547
"Jansher Khan"	0.0691009
"Jorgen Persson"	0.0689526
"Jean-Philippe Gatien"	0.0688362
"Samantha Riley"	0.0686103
"Mia Audina"	0.0684721
"David Coulthard"	0.0677837
"Frank Bruno"	0.0675877
Wiberg	0.0671719
Svorada	0.0669147
"Simona Amanar"	0.0663471
"Fernando Escartin"	0.0660751
"Wu Yanyan"	0.0659214
"Poul-Erik Hoyer-Larsen"	0.065917
"Lenny Krayzelburg"	0.0656822
))
(Bjork (desc 2137.05) (sims
"Sheryl Crow"	0.127214
"Janet Jackson"	0.124164
"Alanis Morissette"	0.113499
"George Michael"	0.111597
"Celine Dion"	0.109186
"Michael Jackson"	0.106859
"Shania Twain"	0.106688
"Mary J. Blige"	0.103602
"Richard Gere"	0.101044
"Brigitte Bardot"	0.100639
"Mariah Carey"	0.0963706
"David Bowie"	0.0955959
"Patti Smith"	0.0941277
"Jennifer Lopez"	0.0913764
"Lauryn Hill"	0.0884426
Cher	0.0881503
"Sarah McLachlan"	0.088138
U@	0.0877638
"Britney Spears"	0.0854496
"Kirk Franklin"	0.084273
"Pearl Jam"	0.083793
"Phil Collins"	0.0833962
"Elton John"	0.0832221
"Chow Yun-Fat"	0.0831474
"GLORIA ESTEFAN"	0.0816881
"Chris Gaines"	0.0816404
"Toni Braxton"	0.0808152
"Christina Aguilera"	0.0806373
"Jennifer Love Hewitt"	0.0789229
"Tina Turner"	0.078543
Babyface	0.0774659
"Jim Morrison"	0.0769701
"Garth Brooks"	0.0769511
Selena	0.0758381
"Vanessa Williams"	0.075195
"Billy Joel"	0.0747843
"Kate Winslet"	0.0746751
"Mick Jagger"	0.0740818
"Demi Moore"	0.0732134
"James Taylor"	0.0724069
"Ricky Martin"	0.072386
Metallica	0.0722742
"Reba McEntire"	0.0721624
"Beastie Boys"	0.0718198
Yoakam	0.0714289
"Whitney Houston"	0.0713677
"Josephine Baker"	0.0710112
"Rupert Everett"	0.0708918
"Paul Simon"	0.0703836
"Placido Domingo"	0.0699341
"Wyclef Jean"	0.069289
"Lucinda Williams"	0.06886
"Marc Anthony"	0.0683869
"Tom Waits"	0.0682419
"LeAnn Rimes"	0.0679787
"Kevin Bacon"	0.0679059
Madonna	0.0676884
"DON JOHNSON"	0.0676451
"George Strait"	0.0671952
"Pierce Brosnan"	0.0667298
"Willie Nelson"	0.0666407
"Bernadette Peters"	0.0664341
"Erykah Badu"	0.0664028
"R. Kelly"	0.0662428
"Bob Dylan"	0.0660714
"Barbra Streisand"	0.0659964
brandy	0.0658487
"Marilyn Manson"	0.0656395
"Foxy Brown"	0.0654287
"Peter Gabriel"	0.0654011
Beck	0.06517
"Vanessa Redgrave"	0.0650018
"Van Morrison"	0.0649113
"Sela Ward"	0.0648828
"Chrissie Hynde"	0.0648171
"Lou Reed"	0.0642266
"Bobby Brown"	0.0639363
"Drew Carey"	0.0637752
"Roberto Benigni"	0.0635317
"Will Smith"	0.0632848
"Johnny Cash"	0.0626634
"Courtney Love"	0.0622887
"Kim Basinger"	0.0617257
"Rob Thomas"	0.0616806
"Goldie Hawn"	0.0615706
Braugher	0.0612013
"Elizabeth Taylor"	0.0607159
"Dolly Parton"	0.0606075
"Spice Girls"	0.0603369
Heyward	0.0599985
Mellencamp	0.0599875
"Michael Douglas"	0.0596744
D'Angelo	0.0592729
wallflower	0.0591417
"Audra McDonald"	0.05908
"Joni Mitchell"	0.0580709
"Jane Fonda"	0.0580535
"Robin Williams"	0.0579677
"David Duchovny"	0.0579341
"Luciano Pavarotti"	0.0579268
"Geena Davis"	0.0578678
Blondie	0.0577549
"Smashing Pumpkins"	0.0576091
TLC	0.0574069
"Michael J. Fox"	0.0571033
"Jo Dee Messina"	0.0570532
"Melissa Etheridge"	0.0569482
"Elvis Costello"	0.0569294
"Keanu Reeves"	0.0567256
"Dwight Yoakam"	0.0566566
"James Van Der Beek"	0.0565199
"Norm MacDonald"	0.0561345
"Paul McCartney"	0.0561321
"Peter Lynch"	0.0557312
Carrey	0.0556885
crooning	0.0555792
"Jerry Garcia"	0.0553617
R.E.M	0.0550363
Dennehy	0.0548987
Chappell	0.0548401
"Sarah Jessica Parker"	0.0545814
"Nicole Kidman"	0.0544621
"Sharon Stone"	0.0541929
"Bonnie Raitt"	0.0541347
savant	0.0541271
Gielgud	0.054077
Costner	0.0540597
"Julie Andrews"	0.0539145
"Puff Daddy"	0.053734
"Lana Turner"	0.0535888
"Emily Watson"	0.0534134
"Brendan Fraser"	0.0531841
"Dustin Hoffman"	0.0531834
"Neil Young"	0.0531606
"Trisha Yearwood"	0.0531166
"Faith Hill"	0.0527408
Broderick	0.0526514
Tucci	0.0526139
"Mark Wahlberg"	0.0526134
LaChiusa	0.0524709
"Jimmy Buffett"	0.0522556
"Eric Clapton"	0.0521678
"Pink Floyd"	0.052145
"Albert Brooks"	0.0519928
"Kurt Cobain"	0.0519594
"Matthew McConaughey"	0.0519043
"David Spade"	0.051891
"Jackie Chan"	0.0518847
"Jeremy Irons"	0.051863
"Kirsten Dunst"	0.0515973
"Halle Berry"	0.0513923
"John Wayne"	0.0513898
"Johnny Depp"	0.0512085
"Sean Penn"	0.0511939
"Janet McTeer"	0.0511157
Ritchie	0.0510498
"Fleetwood Mac"	0.0510216
"Humphrey Bogart"	0.0508704
"Sarah Michelle Gellar"	0.0507422
"Bob Marley"	0.050741
Grammer	0.0507344
"Waylon Jennings"	0.0506771
Springsteen	0.0506241
Billie	0.0505453
Hildegard	0.0505077
"Kelsey Grammer"	0.050494
"Rob Lowe"	0.0503321
"Stevie Wonder"	0.050055
RuPaul	0.0499155
"Hidetoshi Nakata"	0.0498925
"Hilary Swank"	0.0496872
"Marlon Brando"	0.0494837
"Kevin Costner"	0.0494787
"Thomas Edison"	0.0493462
REM	0.0493276
"Julia Roberts"	0.0493153
"Arnold Schwarzenegger"	0.0492935
Donny	0.0492026
"Liza Minnelli"	0.048986
goosebumps	0.04884
"Tom Jones"	0.048744
"Lenny Kravitz"	0.0487188
"Iggy Pop"	0.0486662
"Merle Haggard"	0.0484508
"Carly Simon"	0.0483774
"Bruce Willis"	0.0482353
"Stan Collymore"	0.0482006
"Russell Crowe"	0.0481904
"George Clooney"	0.0480967
Gooding	0.0480697
"Michael Bolton"	0.0480025
"Jimmy Page"	0.0479875
"Vince Gill"	0.047964
Sade	0.0478973
Streep	0.0477212
"Spencer Tracy"	0.0475332
"Ruben Blades"	0.0472419
"Patsy Ramsey"	0.0471424
"Ian McKellen"	0.0470863
"Bob Fosse"	0.0469326
))
(Bjorkman (desc 5894.06) (sims
Corretja	0.271286
Enqvist	0.264115
Henman	0.247197
Stoltenberg	0.23174
Kafelnikov	0.229996
Berasategui	0.22892
"Jonas Bjorkman"	0.227283
Moya	0.222652
Pioline	0.217106
Dosedel	0.211001
Rusedski	0.207542
Ivanisevic	0.206592
Kucera	0.203334
Ulihrach	0.201913
Testud	0.195405
Majoli	0.195304
Philippoussis	0.186846
Huber	0.185715
"Thomas Enqvist"	0.184192
"Anke Huber"	0.183324
Schnyder	0.182142
Siemerink	0.181771
rios	0.181593
Sanchez-Vicario	0.18028
Lapentti	0.178631
Tauziat	0.178212
Capriati	0.176558
"Van Roost"	0.176178
Dragomir	0.176127
Coetzer	0.175483
Kuerten	0.175032
Ferreira	0.174964
Likhovtseva	0.174124
Schett	0.173081
Gustafsson	0.172752
Krajicek	0.171513
"Magnus Gustafsson"	0.171356
Zvereva	0.170985
Mauresmo	0.170768
Safin	0.169922
"Tommy Haas"	0.169506
Kiefer	0.169504
"Alex Corretja"	0.168771
"Magnus Norman"	0.168588
Kournikova	0.167842
"Jason Stoltenberg"	0.167325
"Marc Rosset"	0.166422
"Kenneth Carlsen"	0.166226
Sugiyama	0.165621
"Alberto Berasategui"	0.165607
Korda	0.165316
"Australian Mark Philippoussis"	0.164371
"Tim Henman"	0.164051
Medvedev	0.163571
Clavet	0.163524
Novotna	0.163058
"Tamarine Tanasugarn"	0.162223
Seles	0.162103
Halard-Decugis	0.161561
Agassi	0.161276
"Sandrine Testud"	0.160961
Raoux	0.160781
Johansson	0.160476
"Nathalie Dechy"	0.159511
"Byron Black"	0.159265
Edberg	0.158995
"Carlos Moya"	0.158506
"Albert Costa"	0.158284
"Wayne Ferreira"	0.157946
"Todd Martin"	0.156894
Stolle	0.155711
"Hicham Arazi"	0.155376
"Sanchez Vicario"	0.155151
Woodforde	0.155029
Schalken	0.154405
Mantilla	0.15372
"Russian Yevgeny Kafelnikov"	0.153309
"American Chanda Rubin"	0.152909
Davenport	0.152571
Damm	0.152507
"Thomas Johansson"	0.152501
Rosset	0.152295
Haarhuis	0.151864
Gambill	0.151621
"Iva Majoli"	0.151348
"Naoko Sawamatsu"	0.150574
Swardt	0.150563
"Richard Krajicek"	0.149968
"Sergi Bruguera"	0.149872
"Marcelo Rios"	0.149783
"Conchita Martinez"	0.149262
"Michael Chang"	0.149064
"Goran Ivanisevic"	0.148371
"Mark Philippoussis"	0.148041
Hendrawan	0.147703
Tarango	0.147456
"Felix Mantilla"	0.147382
"Arantxa Sanchez Vicario"	0.147176
"Natasha Zvereva"	0.147087
Haas	0.146346
Spadea	0.146344
Hingis	0.146131
Waldner	0.146084
Chang	0.145873
"Mary Pierce"	0.145839
"Hernan Gumy"	0.145299
"American Todd Martin"	0.145163
"Scott Draper"	0.144734
"Galo Blanco"	0.144718
Hrbaty	0.144058
Meligeni	0.143698
"Thomas Muster"	0.143499
"Arantxa Sanchez-Vicario"	0.142833
"Jan-Michael Gambill"	0.142708
"American Michael Chang"	0.142586
Larsson	0.142482
"Richard Fromberg"	0.142435
"David Prinosil"	0.142294
"Anne-Gaelle Sidot"	0.142146
"Irina Spirlea"	0.141607
"Fernando Meligeni"	0.141145
"Magnus Larsson"	0.140791
"Cedric Pioline"	0.140431
"American Pete Sampras"	0.140414
Bruguera	0.140015
"Ai Sugiyama"	0.139981
"Yevgeny Kafelnikov"	0.139886
"Franco Squillari"	0.139093
"Patty Schnyder"	0.138972
"Patrick Rafter"	0.138626
"Nathalie Tauziat"	0.138112
Sampras	0.137985
Puerta	0.137878
"Serena Williams"	0.137878
"Andrei Medvedev"	0.13773
"Judith Wiesner"	0.137435
"Amanda Coetzer"	0.137347
"Chanda Rubin"	0.136893
"Alberto Costa"	0.136295
"Dominique Van Roost"	0.136207
"Elena Likhovtseva"	0.135752
"Francisco Clavet"	0.135221
"Ruxandra Dragomir"	0.134619
"Boris Becker"	0.134569
"Gong Zhichao"	0.133324
"Julie Halard-Decugis"	0.132816
"Gustavo Kuerten"	0.132722
"Magdalena Maleeva"	0.131467
Rafter	0.131065
Spirlea	0.131009
"Alex O'Brien"	0.13093
"Nicolas Kiefer"	0.130816
"Mark Woodforde"	0.130702
"Greg Rusedski"	0.13055
"Venus Williams"	0.130498
"Arnaud Clement"	0.130096
Hewitt	0.129937
"Jana Novotna"	0.129904
"Mariano Puerta"	0.129796
"Andre Agassi"	0.129775
"Karol Kucera"	0.129502
"Davide Sanguinetti"	0.1295
"Lindsay Davenport"	0.12936
"Amelie Mauresmo"	0.129229
"Wayne Black"	0.129073
"Sjeng Schalken"	0.128754
"Vincent Spadea"	0.128553
"Leander Paes"	0.128081
"Amy Frazier"	0.126943
"Dominik Hrbaty"	0.126885
"Pat Rafter"	0.126834
"Dai Yun"	0.126796
"Mary Joe Fernandez"	0.126763
"Jerome Golmard"	0.126276
"Sargis Sargsian"	0.126187
"Lisa Raymond"	0.125679
Gimelstob	0.125304
"Daniel Vacek"	0.12517
"Younes El Aynaoui"	0.124852
Susanti	0.124809
"Mikael Tillstrom"	0.124639
"Sarah Pitkowski"	0.124557
"Filip Dewulf"	0.123905
Gaudenzi	0.123624
Santoro	0.123454
"Jeff Tarango"	0.12332
"Adrian Voinea"	0.122874
Sidot	0.122281
"Lleyton Hewitt"	0.122163
Pavel	0.122066
"Barbara Schett"	0.122038
"Sebastien Grosjean"	0.121887
"Arnaud Di Pasquale"	0.121778
"Brett Steven"	0.120577
"Martina Hingis"	0.120205
"Gianluca Pozzi"	0.120192
"Renzo Furlan"	0.120061
"Steffi Graf"	0.119972
"Bohdan Ulihrach"	0.119768
Jansher	0.119576
"Arnaud Boetsch"	0.119539
Muster	0.119445
"Guillaume Raoux"	0.118625
Prinosil	0.118301
"Carlos Costa"	0.118278
"Petr Korda"	0.118223
"Nicklas Kulti"	0.117747
"Albert Portas"	0.11758
"Nicolas Lapentti"	0.117573
Serena	0.117352
"Fabrice Santoro"	0.117334
Kasparov	0.117109
"Sabine Appelmans"	0.11686
"Marat Safin"	0.116784
"Slava Dosedel"	0.116203
Habsudova	0.116133
Lucic	0.116131
"Tatiana Panova"	0.115659
Becker	0.115314
Lareau	0.115115
"Todd Woodbridge"	0.114984
Frenchwoman	0.114777
Kroslak	0.113957
"Pete Sampras"	0.113059
"Rodney Eyles"	0.11267
"Paul Haarhuis"	0.11251
"Andrea Gaudenzi"	0.112442
"Silvia Farina"	0.112314
"MaliVai Washington"	0.112066
"South African Amanda Coetzer"	0.111827
"Javier Sanchez"	0.111628
"Rainer Schuttler"	0.111458
"Daniel Nestor"	0.111342
"Karim Alami"	0.111223
"Mark Knowles"	0.111157
"Wang Liqin"	0.111012
"Kong Linghui"	0.110942
"Jim Courier"	0.110832
Pierce	0.110573
Nicol	0.110419
"Christian Ruud"	0.110266
"Jennifer Capriati"	0.109461
"Andrei Pavel"	0.109282
"Brenda Schultz-McCarthy"	0.109093
"Marcos Ondruska"	0.108624
"Joannette Kruger"	0.107658
"Liu Guoliang"	0.107466
"Roger Federer"	0.106973
"Joko Suprianto"	0.106884
"break of serve"	0.106867
Woodbridge	0.106751
Dokic	0.106741
"Kimiko Date"	0.106735
"Monica Seles"	0.106332
"Wang Chen"	0.10632
"Catalina Cristea"	0.106272
"Cara Black"	0.106059
"Heryanto Arbi"	0.10523
"Yayuk Basuki"	0.1051
"Magui Serna"	0.105091
Vacek	0.104994
"Barbara Paulus"	0.104771
"Michael Stich"	0.104649
"Chris Woodruff"	0.104616
Costa	0.104484
"Yang Ying"	0.103907
"Anna Kournikova"	0.103745
"Stefan Edberg"	0.103528
McEnroe	0.103305
"Florencia Labat"	0.103014
"Wang Nan"	0.102726
"Vince Spadea"	0.101365
"Li Fang"	0.101237
"American Lindsay Davenport"	0.101197
Swede	0.100956
"Gong Ruina"	0.100941
"Peter Gade Christensen"	0.100875
"Camilla Martin"	0.100608
"Peter Nicol"	0.100603
))
(Bjorn (desc 1779.08) (sims
"Scott Hoch"	0.107264
"Justin Leonard"	0.0873411
"Lee Westwood"	0.0846457
Azinger	0.0802826
"Jim Furyk"	0.0789706
"Phil Mickelson"	0.0774008
"Thomas Bjorn"	0.0743326
"Mark O'Meara"	0.0732537
Borg	0.0714746
"Bob Tway"	0.0685019
"Sergio Garcia"	0.0682083
Moeller	0.0660604
"Davis Love"	0.0648138
Beathard	0.0637209
"Loren Roberts"	0.0636005
"Colin Montgomerie"	0.0632701
Mickelson	0.0621142
Bernhard	0.0607111
Montgomerie	0.0600152
"Bjorn Borg"	0.0597978
Johansson	0.0588162
Moog	0.0587208
Youk	0.0580425
Hearns	0.0571262
Adrian	0.0566628
Janzen	0.0553888
"Nick Price"	0.0552481
"Jeff Sluman"	0.0548338
"Mark Calcavecchia"	0.0546229
"Vijay Singh"	0.0542727
"Tim Herron"	0.0536052
"Zubin Mehta"	0.0528066
"Jeff Maggert"	0.0527871
kor	0.0527052
Pavel	0.052407
"Jose Maria Olazabal"	0.0518523
"Davis Love III"	0.0518197
"Jarmo Sandelin"	0.0504364
"Darren Clarke"	0.0503542
Wilander	0.0503475
Zabel	0.049991
"Jesper Parnevik"	0.0495437
"Roy Emerson"	0.0486203
Colin	0.0478547
"Ernie Els"	0.0476684
"John Daly"	0.0471006
"Bernhard Langer"	0.0464694
"Tom Lehman"	0.0444902
Jo	0.0438726
Daiei	0.0429431
Carneal	0.0427219
Parnevik	0.0419507
"Jeremy Wotherspoon"	0.0411337
Evan	0.0402018
))
("Bjorn Borg" (desc 4665.11) (sims
"Ivan Lendl"	0.34577
"Stefan Edberg"	0.302885
"Jimmy Connors"	0.297428
"Mats Wilander"	0.252791
Borg	0.236215
"John McEnroe"	0.215598
"Asa Carlsson"	0.212654
"Andreas Vinciguerra"	0.193224
"Boris Becker"	0.188231
"Martina Navratilova"	0.177119
"Magnus Gustafsson"	0.17462
"Jorgen Persson"	0.171311
"Arthur Ashe"	0.169502
"Chris Evert"	0.16555
"Roy Emerson"	0.162502
"Mikael Tillstrom"	0.155731
"Jan-Ove Waldner"	0.155196
"Jim Courier"	0.151133
"Thomas Enqvist"	0.147306
"Miguel Indurain"	0.146355
"Steffi Graf"	0.142507
"Michael Stich"	0.141503
"Magnus Norman"	0.140201
"Marc Rosset"	0.139718
"Rod Laver"	0.138152
"Nicklas Kulti"	0.137924
"Magnus Larsson"	0.136966
"Arnaud Di Pasquale"	0.135505
"Andres Gomez"	0.134166
"Billie Jean King"	0.133348
Connors	0.133059
"Pernilla Wiberg"	0.131087
"Roger Federer"	0.130966
"Jonas Bjorkman"	0.12969
"Andre Agassi"	0.129389
"Pat Rafter"	0.128439
"Thomas Muster"	0.127936
"Pete Sampras"	0.127796
"Richard Krajicek"	0.125504
"Scott Draper"	0.125231
"Thomas Johansson"	0.124191
"Magui Serna"	0.12364
"Sebastien Grosjean"	0.121821
"Yayuk Basuki"	0.121734
"Marcelo Filippini"	0.120616
"Francisco Clavet"	0.119853
"Albert Portas"	0.119685
"Adrian Voinea"	0.11896
"Michael Chang"	0.11865
Berasategui	0.118121
"Amy Frazier"	0.117966
"Sergi Bruguera"	0.116576
"Fabrice Santoro"	0.116029
"Magdalena Maleeva"	0.115954
"Goran Ivanisevic"	0.11538
"Tamarine Tanasugarn"	0.11492
"Guy Forget"	0.114852
"Jonathan Stark"	0.114134
"Richard Fromberg"	0.113614
"Hernan Gumy"	0.113418
"Patrick Rafter"	0.113244
"Jerome Golmard"	0.112851
"Nicolas Escude"	0.11277
"Mary Joe Fernandez"	0.112607
"Arantxa Sanchez Vicario"	0.112466
"Nathalie Dechy"	0.112439
"Joannette Kruger"	0.112409
"Carlos Costa"	0.112403
"Leander Paes"	0.112308
McEnroe	0.112298
"Vincent Spadea"	0.112162
"Florencia Labat"	0.112102
"Younes El Aynaoui"	0.11204
"Alexandra Stevenson"	0.11204
"Fernando Meligeni"	0.111777
"American Pete Sampras"	0.110904
"Chanda Rubin"	0.110889
"Rainer Schuttler"	0.110711
"Conchita Martinez"	0.110519
"Tara Snyder"	0.110366
"Mariano Puerta"	0.110336
"Neville Godwin"	0.110048
"Tatiana Panova"	0.109549
"Monica Seles"	0.109512
"Franco Squillari"	0.109459
"Andrew Ilie"	0.109454
Navratilova	0.10944
"Steve Campbell"	0.109254
"Kenneth Carlsen"	0.109207
"Marcelo Rios"	0.109174
"Ben Hogan"	0.109137
"Karim Alami"	0.108629
"Mariano Zabaleta"	0.108593
"Sarah Pitkowski"	0.107971
"Felix Mantilla"	0.107648
"Rita Grande"	0.10764
"Kimiko Date"	0.107632
"Jana Novotna"	0.107558
"Rodney Eyles"	0.107536
"Ramon Delgado"	0.107258
"Petr Korda"	0.106555
"Alberto Tomba"	0.106391
"Wayne Ferreira"	0.106085
"Sebastien Lareau"	0.105846
"Judith Wiesner"	0.105427
"Nicolas Kiefer"	0.105265
"Jeff Tarango"	0.105198
"Albert Costa"	0.105094
"Julian Alonso"	0.104958
"Gianluca Pozzi"	0.104829
Wilander	0.104236
"Naoko Sawamatsu"	0.104223
"Christine Arron"	0.104065
Nacional	0.10387
Bruguera	0.103369
"Jennifer Capriati"	0.10327
"Davide Sanguinetti"	0.103035
"Paul Tergat"	0.102646
"Arantxa Sanchez-Vicario"	0.102474
"Silvia Farina"	0.102424
"Javier Sanchez"	0.102259
"Nicole Pratt"	0.10208
"Sargis Sargsian"	0.102044
"Anne Kremer"	0.101685
"Arnaud Boetsch"	0.101652
"Iva Majoli"	0.101576
Dosedel	0.101375
"Arnaud Clement"	0.100932
"Yevgeny Kafelnikov"	0.100929
"Lindsay Davenport"	0.100873
"Patty Schnyder"	0.10086
"Filip Dewulf"	0.100751
"Xavier Malisse"	0.100621
"Mark Knowles"	0.100364
"Todd Woodbridge"	0.100347
"Alberto Costa"	0.100327
"Sabine Appelmans"	0.0998095
"Anke Huber"	0.0996427
"Tim Henman"	0.0995993
"Julie Halard-Decugis"	0.0995624
Malmo	0.099225
"Buster Douglas"	0.0991841
"Juan Antonio Marin"	0.0989595
Susanti	0.0987925
"Ruxandra Dragomir"	0.098637
"Carlos Moya"	0.0985336
"Liu Guoliang"	0.0985239
"Jason Stoltenberg"	0.098434
"MaliVai Washington"	0.0983905
"Peter Rasmussen"	0.0983602
"Alberto Berasategui"	0.0982966
"Guillaume Raoux"	0.0981393
Stoltenberg	0.0980849
"Li Fang"	0.0980151
"Tom Watson"	0.097985
"Mirjana Lucic"	0.0979448
"Heryanto Arbi"	0.0979408
"Els Callens"	0.0977869
"Andrei Medvedev"	0.0975066
Edberg	0.0974401
"Annika Sorenstam"	0.0973904
"Gustavo Kuerten"	0.0970923
"Galo Blanco"	0.0967121
"Alexandra Fusai"	0.0966599
"Kim Clijsters"	0.0965675
"Serena Williams"	0.0960979
"River Plate"	0.0960009
"Marat Safin"	0.0958113
"Todd Martin"	0.0954058
"Nathalie Tauziat"	0.0950929
"Ai Sugiyama"	0.0949372
"Corina Morariu"	0.0945847
"Christian Ruud"	0.0945245
"Barbara Paulus"	0.094514
"Renzo Furlan"	0.0945004
Clavet	0.0944098
Halard-Decugis	0.0941041
"Todd Eldredge"	0.0939351
"Cara Black"	0.0938662
"Chris Woodruff"	0.0935291
"Barbara Schwartz"	0.0930363
"Mary Pierce"	0.093032
"Susi Susanti"	0.0929735
"Garry Kasparov"	0.0929423
"Andrei Pavel"	0.0927397
"Andrea Gaudenzi"	0.0925689
"Sjeng Schalken"	0.0925372
"Cedric Pioline"	0.0922992
"Peter Nicol"	0.0919623
"Charles Austin"	0.0917663
Panathinaikos	0.091645
"Miriam Oremans"	0.0916382
"Blaine Wilson"	0.0913778
"Brett Steven"	0.0910687
"Lisa Raymond"	0.0908623
"David Prinosil"	0.0907462
"Ye Zhaoying"	0.0904884
"Paola Suarez"	0.0903268
Waldner	0.0902665
"Kristie Boogert"	0.0901482
))
(BJP (desc 10735.3) (sims
"Bharatiya Janata Party"	0.30627
"Congress Party"	0.241764
"United Front"	0.161411
LDP	0.152025
UF	0.151962
"Awami League"	0.151745
"Pakistan Muslim League"	0.143595
BNP	0.14339
"Liberal Democratic Party"	0.139924
"Social Democrats"	0.139269
"African National Congress"	0.139026
"Nepali Congress"	0.138308
CPP	0.137855
FUNCINPEC	0.13698
"Labor Party"	0.136805
"Bangladesh Nationalist Party"	0.136548
"National Party"	0.134954
ANC	0.131689
CPN-UML	0.130546
Likud	0.130376
PML	0.130202
"People's Party"	0.129161
"Socialist Party"	0.128484
Golkar	0.127202
UNP	0.12563
PRI	0.124922
"Janata Dal"	0.124372
UNIP	0.123921
"Christian Democrats"	0.123418
"United National Party"	0.119619
Zanu-pf	0.118462
NC	0.116571
CCM	0.116095
PPP	0.115616
PASOK	0.115518
PDP	0.11465
"Communist Party"	0.11451
CDU	0.113805
"National League for Democracy"	0.113248
"National Action"	0.112767
"National Front"	0.112592
Renamo	0.112003
"Nationalist Party"	0.110795
UDF	0.108595
Tory	0.107401
"Conservative Party"	0.105987
socialist	0.105404
PML-N	0.105301
SPD	0.105103
"Democratic Left"	0.104912
"Liberal Democrats"	0.104869
FRELIMO	0.104624
"United Democratic Movement"	0.104472
"Canadian Alliance"	0.10324
"Liberal Party"	0.102946
ZCTU	0.102133
"Inkatha Freedom Party"	0.101602
Coalition	0.101525
Meretz	0.101405
MDC	0.100873
"Democrat Party"	0.100569
"Institutional Revolutionary Party"	0.100287
"United National Independence Party"	0.10011
"Likud Party"	0.10006
"Social Democratic Party"	0.0995753
"Democratic Party"	0.0980073
RPP	0.0978729
Shas	0.0977872
Awami	0.097022
"Kenya African National Union"	0.0965154
Kanu	0.0961611
"Cambodian People's Party"	0.0958591
"New Aspiration Party"	0.0955956
"Christian Social Union"	0.0951239
MQM	0.09495
"Sam Rainsy Party"	0.094758
"National Democratic Alliance"	0.0941728
Yabloko	0.0939277
"Sinn Fein"	0.0931317
UML	0.0921246
Lakas-NUCD	0.0912619
NLD	0.0909867
IFP	0.0903957
"National Action Party"	0.0903458
center-right	0.0900992
RUF	0.0898663
"Colorado Party"	0.0892604
NKP	0.0891661
"Ulster Unionists"	0.089079
NRA	0.0876752
MMD	0.0873555
"Croatian Democratic Union"	0.0871521
"Popular Party"	0.0869982
Rabbani	0.0869646
"Christian Democratic Union"	0.0867821
RPR	0.0865691
Taliban	0.08653
"opposition party"	0.0864738
Communist	0.0862862
"Freedom Party"	0.0857961
"Democratic Progressive Party"	0.0856413
PA	0.0849446
"United Malays National Organization"	0.0846876
Khatami	0.0845547
"National Religious Party"	0.0841299
BN	0.083662
PRD	0.083557
NP	0.08311
"Herri Batasuna"	0.0828052
"National Rifle Association"	0.0826595
"political party"	0.082615
"Center Party"	0.0822909
"New Democracy"	0.0819583
Jamaat-e-Islami	0.0818972
Hariri	0.0817677
Zajedno	0.0817299
"Social Democratic"	0.0815256
"New National Party"	0.0812108
UFW	0.0808456
"Barisan Nasional"	0.0808246
FN	0.080572
Fujimori	0.0804349
"Serbian Radical Party"	0.0803172
UUP	0.0801424
"New Korea Party"	0.0800477
"Justice Party"	0.079881
"Chart Pattana"	0.0796911
UNITA	0.079378
Vajpayee	0.0791833
"Virtue Party"	0.0788198
"Freedom Union"	0.0784791
NDA	0.0782837
Cardoso	0.0778799
"Baath Party"	0.0777324
CUF	0.0773379
"National Democratic Party"	0.0770979
DPP	0.0767923
"People's Democratic Party"	0.0765634
SPLA	0.0761108
Megawati	0.0757748
PDI	0.07525
"Civic Democratic Party"	0.0751437
KLA	0.0750174
UMNO	0.0750042
"People's Alliance"	0.074963
opposition	0.0747103
"Zimbabwe African National Union-Patriotic Front"	0.0746841
"Parti Quebecois"	0.074675
Hezbollah	0.0745763
LTTE	0.0745663
SDLP	0.0743049
Inkatha	0.074094
Djukanovic	0.0740377
"Islamic Salvation Front"	0.0739976
"National Resistance Movement"	0.0738618
"Christian Democrat"	0.0737953
"Clinton Administration"	0.0737899
"Northern Alliance"	0.0737207
"Golkar Party"	0.073703
"Sam Rainsy"	0.0734158
reformist	0.0733493
Kabila	0.0731639
Koirala	0.0724477
"Khmer Rouge"	0.0723515
faction	0.0723159
"Democratic Action"	0.0719631
"Democratic Revolution Party"	0.0717751
"Grand National Party"	0.0716314
Meciar	0.0714776
"Democratic Revolution"	0.0714756
"Ulster Unionist Party"	0.071437
labor	0.0713574
"Radical Party"	0.0708424
Schroeder	0.0707954
Kohl	0.0705371
MPLA	0.0703814
Alliance	0.0703635
Mugabe	0.0702725
"Serbian Renewal Movement"	0.0702078
"Green Party"	0.0700282
SDP	0.0698071
nationalist	0.069541
"Union of Right Forces"	0.0695223
"Indonesian Democratic Party"	0.0694588
"Revolutionary United Front"	0.0691992
"Rwandan Patriotic Front"	0.0688555
MILF	0.0684898
Hagelin	0.0683414
Trimble	0.0682486
NRM	0.0680738
"Kosovo Liberation Army"	0.0678198
"Third Way"	0.0677226
NCEC	0.0675914
junta	0.0674433
"Afghan Taliban"	0.067387
bloc	0.0672673
"Republican Party"	0.067055
"Sudan People's Liberation Army"	0.0669164
D'Amato	0.0668846
PUK	0.0667396
))
(BK (desc 1207.36) (sims
"Sdn Bhd"	0.113695
Shalom	0.0800378
mc/bk	0.0768293
sms/ji	0.0676175
GB	0.0650107
JC	0.0646078
eb	0.0640021
jc/bk	0.0639872
"Dat Nguyen"	0.062669
JAI	0.0593035
"Quentin Coryatt"	0.0552247
vi/gm	0.0548133
B@@	0.0516701
nw/ls	0.051128
PTI	0.0505793
MC	0.0498189
nw/gm	0.0486095
monogram	0.0480005
ad/adc	0.0455005
Rt	0.0450906
make-over	0.0444043
"Press Trust of India"	0.0442559
"Statistics Canada"	0.0440675
Ren	0.0440058
McWilliams	0.0439386
"Jubilo Iwata"	0.04335
"Zambia News Agency"	0.0428271
ad/ji	0.0423456
djp	0.0414876
"William Morrow"	0.0412495
"field trial"	0.0411255
parf-dgs	0.0407614
xxx	0.0404221
JH	0.0402969
dm-jh	0.0401753
"Cyprus News Agency"	0.0400512
"Chris Taylor"	0.040036
))
(Blace (desc 2771.15) (sims
Rafah	0.171439
Kijevo	0.12731
Kukes	0.125562
Posoltega	0.106667
Erez	0.0985533
"Fort Dix"	0.0890527
Skopje	0.0881355
Nogales	0.088122
Uvira	0.0874279
Khost	0.085682
Lhokseumawe	0.0832997
Kismayu	0.0800576
Panmunjom	0.0776795
Cabinda	0.0773552
Taba	0.0773229
Kissimmee	0.0743574
"SIERRA BLANCA"	0.0721118
Atambua	0.0707936
Shali	0.070394
Kitona	0.0697029
"Ben-Gurion Airport"	0.0677908
Kigoma	0.0666684
Srbica	0.0665989
Malisevo	0.0657911
"Furman University"	0.0646775
Kismaio	0.0645387
Merca	0.0635247
Belacevac	0.0622044
Ensenada	0.0621777
Ballymoney	0.0618161
Kanungu	0.0614119
"UC Irvine"	0.0599934
Drumcree	0.0593103
Nago	0.058762
"Entebbe International Airport"	0.058751
Tokaimura	0.0587183
"Victoria Falls"	0.0584044
Ashkelon	0.0576652
Kabwe	0.0575524
Gnjilane	0.0569296
Racak	0.0567919
Mankulam	0.0562957
"Kigoma Region"	0.056038
"West Timor"	0.0555443
"Gaza City"	0.055292
Blaine	0.0547559
Trincomalee	0.0547515
Caguan	0.0546731
Klina	0.0538856
Eschede	0.0535801
Kraljevo	0.0528641
Dundalk	0.052672
Nakuru	0.0525249
Urus-Martan	0.0522264
Kalemie	0.0520237
Vlore	0.0513253
"Thousand Oaks"	0.0511536
Suwanee	0.0511145
Antalya	0.050861
Kenema	0.050282
Cordova	0.0501962
Kilinochchi	0.0498538
Guantanamo	0.0498194
Taloqan	0.049711
Batam	0.0496181
"Kosovska Mitrovica"	0.0491671
Shepherdstown	0.048988
Cacak	0.0489159
Vavuniya	0.0488419
Sirte	0.0486615
Nabatiyeh	0.048363
Paranthan	0.048332
Pancevo	0.0482489
Leskovac	0.0480611
Superdome	0.0479389
Entebbe	0.0476971
Arua	0.0473231
Baidoa	0.0470955
Laredo	0.0470391
Junik	0.0470268
Kailahun	0.0469787
"no man's land"	0.0469722
Vedeno	0.0469573
"Bryant Park"	0.0468874
Podujevo	0.0467912
Langkawi	0.046739
"Abu Dis"	0.0462779
Badme	0.046155
"Port Elizabeth"	0.0461171
Missoula	0.0457612
Najaf	0.045751
Riverdale	0.0455436
Assisi	0.045376
Lucerne	0.0452221
Auschwitz	0.0449883
Ipoh	0.044706
"five key"	0.0445933
Juba	0.0445255
Hempstead	0.0443209
Kragujevac	0.0442601
Walkerton	0.0442269
"Devil Stadium"	0.044185
Princeville	0.0439511
Nablus	0.0434414
"Suva Reka"	0.0434163
"Kauffman Stadium"	0.0433893
Bogor	0.0433782
Skaneateles	0.0432809
el-Sheikh	0.0428433
Peshawar	0.0427363
"North Ossetia"	0.0427281
Bukavu	0.0426168
Sabra	0.0424973
Kizlyar	0.0423815
Talipao	0.0419913
Makhachkala	0.041694
"about @@ kilometers"	0.0416416
Bazar	0.0415686
Guadalajara	0.0413314
Goma	0.0412444
Dunedin	0.0411222
Bayonne	0.0408441
Orahovac	0.0406638
Subic	0.0405542
"San Pedro"	0.0403556
Cavalese	0.0403259
"Hofstra University"	0.0400519
))
(black (desc 133491) (sims
white	0.214458
Hispanic	0.198159
African-American	0.194403
minority	0.174846
Latino	0.152148
woman	0.151657
Jew	0.139106
"African Americans"	0.136684
people	0.130975
American	0.125459
immigrant	0.123792
Gay	0.122866
male	0.116024
Asian	0.115824
Catholic	0.115612
student	0.113075
voter	0.11228
purple	0.111716
red	0.110542
man	0.109892
blue	0.109641
child	0.108027
resident	0.106286
"black man"	0.106143
worker	0.105938
christian	0.104778
"black woman"	0.104279
foreigner	0.104266
citizen	0.103737
Mexican	0.103324
Pink	0.101666
homosexual	0.101396
gray	0.100735
those	0.100457
adult	0.100325
Muslim	0.100145
Yellow	0.099824
girl	0.0995459
"people of color"	0.0993251
"African American"	0.0988098
farmer	0.0986148
female	0.0981478
Asian-Americans	0.0978529
Republican	0.0965571
Democrat	0.0962916
"American Indian"	0.0959862
population	0.0949095
"native American"	0.0942194
Indian	0.0928071
African	0.0927816
family	0.0918598
Chinese	0.090908
green	0.0907814
individual	0.0906334
youth	0.0904396
teen-ager	0.0897835
conservative	0.0895725
kid	0.0894208
"Puerto Rican"	0.0885299
Serbs	0.0879518
person	0.08648
athlete	0.0864206
member	0.0863843
group	0.0857934
beige	0.0856335
poor	0.0855682
community	0.0855081
inmate	0.0849569
Arab	0.0848254
parent	0.0845037
teens	0.0843489
Asian-American	0.0842877
Brown	0.0841943
color	0.0841854
patient	0.0840961
"white man"	0.0833994
employee	0.0829473
young	0.0826114
Israeli	0.0825159
Russian	0.0824415
consumer	0.0818243
Albanian	0.0816545
boy	0.0813517
Palestinian	0.0805705
many	0.0802925
"union member"	0.0794498
folk	0.078918
youngster	0.0788149
investor	0.0787531
peasant	0.0786709
Cuban	0.0781881
"black and white"	0.0772879
others	0.0770666
teenager	0.0770354
Protestant	0.0768431
"young man"	0.0766882
liberal	0.0766601
politician	0.0764754
teacher	0.0760898
fan	0.0758898
Orange	0.075881
veteran	0.0758704
European	0.0757326
"college student"	0.0757029
professional	0.0756851
civilian	0.0755458
activist	0.0752668
anyone	0.0752388
Japanese	0.0752198
victim	0.0751229
Filipino	0.0747908
them	0.0745308
prisoner	0.0744709
"middle class"	0.0744414
independent	0.0741876
majority	0.074135
"Roman Catholic"	0.0736486
household	0.0734944
supporter	0.0734768
settler	0.0733391
lesbian	0.0725568
doctor	0.0725029
customer	0.0723867
player	0.0722952
journalist	0.0719856
smoker	0.0719314
slave	0.071715
Haitian	0.0716811
villager	0.071282
applicant	0.0704581
Iranian	0.0703898
some	0.0703853
mother	0.0703208
public	0.0703074
"South African"	0.070281
soldier	0.0702334
everyone	0.0700319
Tibetans	0.0699683
artist	0.0699597
someone	0.0698745
laborer	0.0698319
lawmaker	0.0697136
Texan	0.0696924
"ethnic group"	0.069673
user	0.0696135
tourist	0.0693529
"young woman"	0.0693062
viewer	0.0691649
German	0.0690195
"New Yorker"	0.0688161
"senior citizen"	0.0686081
owner	0.0681082
officer	0.068037
driver	0.0679423
Italian	0.0675622
Gypsy	0.0675161
senior	0.0674267
refugee	0.067376
Jewish	0.0672345
Californian	0.0671953
"over @@"	0.0669151
Australian	0.0667699
audience	0.0665367
Koreans	0.0664512
Canadian	0.066352
graduate	0.0663318
country	0.0662304
Reader	0.0662002
migrant	0.0661473
company	0.0660179
local	0.0658167
homeowner	0.0657232
khaki	0.0655931
moderate	0.0654339
business	0.0653151
taxpayer	0.0651558
criminal	0.0649036
Bush	0.0647731
couple	0.0647619
scientist	0.0647484
Indonesian	0.064726
guy	0.0646448
"police officer"	0.0644522
defendant	0.0643783
leader	0.0642751
ones	0.0642085
Turk	0.0640678
relative	0.0640395
peer	0.0640261
"white woman"	0.0639249
visitor	0.0636663
businessmen	0.0636561
Nigerian	0.0634909
Aborigine	0.0634876
retiree	0.0631878
Southerner	0.0630549
candidate	0.0629323
neighbor	0.0628783
Vietnamese	0.0627673
state	0.0626832
))
("black and white" (desc 20818.2) (sims
black-and-white	0.181692
Yellow	0.0903407
Pink	0.0821306
plaid	0.0773468
turquoise	0.0764681
purple	0.076058
blue	0.0713838
red	0.0711759
"wide screen"	0.070249
color	0.0697323
gray	0.0693
Technicolor	0.0672026
"navy blue"	0.064326
"African American"	0.0640018
"dark blue"	0.0637225
"royal blue"	0.063432
pastel	0.0631932
Anglo	0.0625578
Mexican-American	0.0605149
silk	0.0603016
non-Hispanic	0.0587111
beige	0.0585152
closeup	0.058428
Asian-American	0.0564059
Burgundy	0.0563378
Orange	0.0550358
denim	0.0547499
violet	0.053466
cartoon	0.0529117
aqua	0.0518001
crimson	0.0504972
colour	0.050143
camouflage	0.0498862
shade	0.0490443
polyester	0.048936
vintage	0.0488616
"More than @.@ million"	0.0486019
"more than @ million"	0.0482994
fuchsia	0.0481099
flannel	0.0475965
"black tie"	0.0474375
tweed	0.0472462
Hawaiian	0.0470911
"a few"	0.0469294
tuxedo	0.046757
English	0.0467131
"about @@"	0.046396
wool	0.045778
Amber	0.0447169
lavender	0.0446618
"About @,@@@"	0.0446341
"up to @,@@@"	0.0442391
"Erin Brockovich"	0.0439774
Tibetan	0.0439617
leather	0.0438778
cartoonish	0.0438132
Bulworth	0.0437455
"working class"	0.0435641
"more than @@@"	0.0434795
"about @ million"	0.0434425
"nearly @,@@@"	0.0424627
"Mickey mouse"	0.0424609
"about @@@"	0.0424367
Spanish	0.0424214
"high fashion"	0.0424055
"Eastern European"	0.0423974
Armani	0.0422636
"more than @,@@@"	0.0421997
zebra	0.0420718
"more than @@,@@@"	0.0420334
"native American"	0.0420099
costume	0.0418816
texture	0.0417454
"slow motion"	0.0417284
"nearly @@@"	0.0417084
"two dozen"	0.0416598
grey	0.0414838
cashmere	0.0413829
fabric	0.0411072
"Cruel Intentions"	0.0408117
"about two"	0.0407118
"more than @@ million"	0.0406424
ink	0.0406405
"Four million"	0.0406228
"nearly @@ million"	0.0405172
"cutting edge"	0.0404898
stepmom	0.04017
))
("black bean" (desc 6672.72) (sims
lentil	0.207293
"white bean"	0.205083
Chickpea	0.199886
"red pepper"	0.199001
"green onion"	0.192695
bean	0.191825
tomatillo	0.190879
"shiitake mushroom"	0.181942
chilies	0.175985
tomato	0.175714
spinach	0.169871
pea	0.163852
onion	0.161052
cucumber	0.156955
mushroom	0.154655
"bell pepper"	0.154565
"green bean"	0.152316
cabbage	0.150875
eggplant	0.147759
Garlic	0.147355
cilantro	0.147204
scallion	0.145814
"pinto bean"	0.145666
Chili	0.144865
noodle	0.143578
shrimp	0.142651
spaghetti	0.141445
macaroni	0.138896
carrot	0.138086
potato	0.137757
pasta	0.137667
"pine nut"	0.135965
chiles	0.135779
pineapple	0.135456
marjoram	0.135301
parsley	0.134688
olive	0.134472
"chicken broth"	0.133802
sauerkraut	0.133019
jalapeno	0.131646
okra	0.131506
miso	0.13036
fennel	0.130214
"coconut milk"	0.129733
"chili sauce"	0.1297
"lima bean"	0.128611
shallot	0.126512
Chipotle	0.126493
Basil	0.125096
"beef broth"	0.124601
pepper	0.123009
leek	0.122876
arugula	0.122682
caper	0.122582
oregano	0.122568
"wild rice"	0.122048
"black-eyed pea"	0.121618
"sweet potato"	0.120035
ginger	0.119916
sausage	0.119671
"bean sprout"	0.119174
"sesame seed"	0.119023
"green olive"	0.117924
"sour cream"	0.117194
cheese	0.117045
"peanut oil"	0.116974
asparagus	0.11675
breadcrumb	0.11672
currant	0.11659
"red onion"	0.11656
raisin	0.115797
Broccoli	0.115399
barley	0.115135
dill	0.115114
blueberry	0.115071
zucchini	0.114935
lettuce	0.114804
"blue cheese"	0.114724
guacamole	0.114279
papaya	0.113648
thyme	0.113506
mango	0.113406
artichoke	0.11291
radish	0.112878
yogurt	0.112392
celery	0.112231
"green pepper"	0.111274
lemongrass	0.110906
tuna	0.110872
"lime juice"	0.110271
"soy sauce"	0.110267
squash	0.10927
mutton	0.107747
broth	0.107737
corn	0.107531
vinegar	0.107313
chicken	0.106248
soup	0.105716
apricot	0.105349
"goat cheese"	0.105303
clam	0.104186
tortellini	0.103678
raspberry	0.103391
vegetable	0.103223
coconut	0.103114
"white rice"	0.102776
cranberry	0.101884
bacon	0.101645
walnut	0.101421
"tomato paste"	0.101296
pork	0.100557
"tomato sauce"	0.0998708
crab	0.0993339
linguine	0.0986581
Collard	0.0981151
ham	0.0980764
cumin	0.0980741
paste	0.098074
"pineapple juice"	0.097873
cauliflower	0.0977522
fig	0.0973901
"black olive"	0.0970665
meat	0.0969595
"cherry tomato"	0.0968236
"brown sugar"	0.0967817
mustard	0.0962766
cornmeal	0.0962618
curry	0.0961538
veggie	0.0961244
half-and-half	0.0957975
rice	0.0956765
seaweed	0.0955902
"cheddar cheese"	0.0955643
tofu	0.0953551
turnip	0.0953111
seafood	0.0950725
"beef tenderloin"	0.0949715
plantain	0.0947658
sauce	0.094613
watermelon	0.0945496
almond	0.0945264
"Swiss chard"	0.0941009
salad	0.0934865
"chili powder"	0.0933289
mozzarella	0.0933095
hazelnut	0.0930157
lamb	0.0929748
"chili pepper"	0.092903
chutney	0.0927434
beet	0.0927
sesame	0.0922884
butter	0.0921402
"cider vinegar"	0.0918981
bulgur	0.0916435
tortilla	0.0915871
"collard greens"	0.0914206
morel	0.0911856
pistachio	0.0911391
salsa	0.0910864
melon	0.0910666
veal	0.0909278
"lemon juice"	0.0907075
pecan	0.0906527
polenta	0.0905264
"wine vinegar"	0.090261
"tomato juice"	0.0901791
fruit	0.0901336
puree	0.0895116
soy	0.0888232
mayonnaise	0.0885003
mint	0.0879875
pesto	0.0879583
ricotta	0.0878798
groundnut	0.0876252
juice	0.0875382
strawberry	0.0874224
"olive oil"	0.0873735
soya	0.0873247
pickle	0.0871746
stew	0.0870507
"water chestnut"	0.0866891
molasses	0.0866406
"fava bean"	0.0864278
mussel	0.0863514
"cottage cheese"	0.0860753
herb	0.0859387
"smoked salmon"	0.0857364
"evaporated milk"	0.0857071
salt	0.0854669
"bok choy"	0.0853486
"corned beef"	0.0850991
anchovy	0.0850152
bread	0.0849697
coriander	0.0848531
peanut	0.0845964
peach	0.0845847
seasoning	0.0843078
pumpkin	0.0836277
chive	0.0835745
"hot pepper"	0.0833044
))
("black bear" (desc 5408.86) (sims
"mountain lion"	0.205369
deer	0.167416
elk	0.167122
"wild boar"	0.157659
cheetah	0.149289
leopard	0.14809
"Bengal tiger"	0.139609
moose	0.13618
alligator	0.13413
otter	0.134094
"grizzly bear"	0.13053
antelope	0.130031
rhino	0.12777
lynx	0.127525
wolf	0.125312
"red deer"	0.122731
"right whale"	0.120938
"giant panda"	0.118285
elephant	0.117702
"gray whale"	0.116481
hyena	0.113899
rhinoceros	0.113648
"brown bear"	0.112355
"snow leopard"	0.111295
tiger	0.109939
bobcat	0.109429
panda	0.108991
caribou	0.108649
orangutan	0.105992
ibis	0.105384
manatee	0.10498
owl	0.104722
crocodile	0.104656
quail	0.102557
monkey	0.101028
"bald eagle"	0.100176
"mountain gorilla"	0.0986866
coyote	0.0986773
"golden eagle"	0.0984622
boar	0.0978529
pheasant	0.0946695
porcupine	0.0946682
geese	0.094034
skunk	0.0934235
"prairie dog"	0.0929026
turtle	0.0900844
"rare bird"	0.0895746
zebra	0.0895298
giraffe	0.0879655
raccoon	0.0874801
squirrel	0.0866911
beaver	0.0864638
bison	0.0859954
hare	0.0857312
kangaroo	0.0852014
pup	0.085161
Grouse	0.0851505
armadillo	0.0838005
Condor	0.0830206
lion	0.082382
waterfowl	0.0803297
chimpanzee	0.0799554
"peregrine falcon"	0.0793462
pigeon	0.0788942
humpback	0.0788052
egret	0.0787297
heron	0.0785787
"bighorn sheep"	0.0782336
rattlesnake	0.0778838
gorilla	0.0777734
peacock	0.0764794
swan	0.0761262
ox	0.0736326
Gibbon	0.0736013
"wild horse"	0.073406
Bighorn	0.0729128
"polar bear"	0.0726194
rabbit	0.0724868
sturgeon	0.0720077
"African elephant"	0.0719763
CAT	0.0711217
predator	0.0707983
grizzly	0.0704988
chipmunk	0.0700393
fawn	0.0699757
snake	0.0698396
wildlife	0.069016
whale	0.0686563
mink	0.0684794
cormorant	0.0677698
tarpon	0.0669248
rodent	0.0667178
shark	0.0664609
cougar	0.0664553
baboon	0.0664262
"sea otter"	0.0663637
pig	0.0656905
"killer whale"	0.0656245
eagle	0.0656217
lizard	0.0642813
cobra	0.0639956
hippo	0.0634088
Vulture	0.0631514
chimp	0.0631227
parrot	0.0631078
Puma	0.062891
shoplifter	0.0627726
Crane	0.0626148
reptile	0.0623069
goat	0.0620011
"blue crab"	0.0614785
"sea lion"	0.0613035
tortoise	0.0605461
"minke whale"	0.0604618
"sea turtle"	0.0603994
lemur	0.0599254
camel	0.0595803
dolphin	0.0592063
rat	0.0589016
mosquito	0.0589012
"fire ant"	0.0587359
"humpback whale"	0.058551
critters	0.0583745
mammal	0.0580415
gazelle	0.0579694
skinhead	0.0577545
peregrine	0.0574912
porpoise	0.0573022
"sea horse"	0.057284
Firefly	0.0572532
Buffaloes	0.0572482
locust	0.0570417
amphibian	0.0570284
goose	0.0569075
Meteor	0.056777
poacher	0.0567553
ostrich	0.0565752
crow	0.0565353
oxen	0.0562622
hedgehog	0.0561993
donkey	0.0559956
assailant	0.0557653
hog	0.0555538
koala	0.0552829
aphid	0.0548689
beetle	0.0547906
mice	0.054784
stork	0.054691
insect	0.0544939
"police dog"	0.0543579
songbird	0.0542669
coho	0.0538595
"robbery suspect"	0.0535224
scavenger	0.0534958
"harbor seal"	0.0533908
trout	0.0533336
"gray wolf"	0.0531725
sheep	0.0531313
puppy	0.0529541
swordfish	0.0527717
bandit	0.0527116
spider	0.0526555
rustler	0.0525608
"rainbow trout"	0.0525026
Primate	0.0523443
iguana	0.0521794
Pony	0.0520954
striper	0.0520443
yak	0.0520157
jackal	0.0518733
sparrow	0.0517999
blackbird	0.051529
panther	0.0514954
burro	0.0514504
dragonfly	0.0510647
attacker	0.0508058
Sergio	0.0504032
Pelican	0.0501264
"adult male"	0.0501182
parakeet	0.0500267
Dinosaur	0.0498043
moth	0.0497868
"Atlantic salmon"	0.0489488
"domestic animal"	0.0483608
conscript	0.0482302
VMs	0.0481941
abalone	0.0480948
beast	0.0477641
creature	0.0477356
deejays	0.0475662
"bluefin tuna"	0.0474527
rooster	0.0473145
microorganism	0.0472965
centenarian	0.0471839
"bird of prey"	0.047181
"monarch butterfly"	0.0471211
bluebird	0.0471191
Dalmatian	0.0469951
dove	0.0468897
Macaque	0.0467797
))
("black belt" (desc 2663.6) (sims
"grand larceny"	0.0915415
"murder conviction"	0.0763461
larceny	0.0708077
nonentity	0.0562772
"murder charge"	0.0560261
"traveling salesman"	0.0557093
"big leaguer"	0.0541977
"trump card"	0.0510053
"first pitcher"	0.0507583
"second person"	0.0484828
soulmate	0.0480142
O'Connor's	0.0477513
sodomy	0.0476672
bluejeans	0.0476162
stinker	0.0474842
"raw talent"	0.0474285
"five spot"	0.0470196
"guardian angel"	0.0463673
Kurd	0.0457965
"fish tank"	0.0457263
Symons	0.0454956
punchline	0.0454233
"sounding board"	0.044993
cipher	0.0448796
"black person"	0.0448778
tux	0.0444379
"foreign service officer"	0.0444342
Ph.D.s	0.0442476
hyper	0.0437135
recluse	0.0436783
"pen pal"	0.0430371
Yokozuna	0.0428712
triathlete	0.0424672
Irishman	0.0419987
clicker	0.0419494
knighthood	0.0418506
ascot	0.0415023
antsy	0.0414975
"favorite son"	0.0414001
prosthesis	0.0412853
"important person"	0.0409451
dilettante	0.0408328
goalscorer	0.040677
"top dog"	0.0406567
"Prospect Park"	0.040649
"Jeff Sessions"	0.0406259
baserunner	0.0405161
karate	0.0400027
))
("black box" (desc 11430.8) (sims
recorder	0.24956
fuselage	0.119262
wreckage	0.117766
jackscrew	0.110531
undercarriage	0.102932
transponder	0.102753
reversers	0.0970691
cockpit	0.0924405
"landing gear"	0.0861057
"horizontal stabilizer"	0.0825898
"crew member"	0.0793468
stabilizer	0.0776654
sensor	0.0753316
debris	0.0738048
rudder	0.0730865
engine	0.0719842
propeller	0.0708691
autopilot	0.069903
altimeter	0.0693941
device	0.0688836
transmitter	0.0677365
"flight path"	0.0632051
radar	0.0627929
downing	0.0620394
co-pilot	0.0619144
wiring	0.0615591
"hydraulic system"	0.0602307
instrument	0.0601328
gyroscope	0.0573517
"man's body"	0.0561462
"pipe bomb"	0.0557452
"electronic device"	0.0555759
suitcase	0.0553913
"jet engine"	0.0553247
sonar	0.0551401
Satellite	0.0542127
crewmen	0.0540963
fragment	0.0539443
"margin call"	0.0537238
prototype	0.0529598
"satellite receiver"	0.0529018
"control system"	0.0526576
TiVo	0.0522277
fingerprint	0.0516698
tether	0.0516675
cache	0.0515411
"fuel system"	0.0510964
parcel	0.0510451
crewmembers	0.0509771
antenna	0.050868
compartment	0.0502848
"body part"	0.0501685
fossil	0.0500764
navigator	0.0500436
"catalytic converter"	0.0499179
inhibitor	0.0493354
Hijacker	0.0489683
"explosive device"	0.048901
casing	0.0488282
scanner	0.0486664
"Eric Rudolph"	0.0484206
atm	0.0480157
detector	0.0479584
"fuel cell"	0.047835
"radio transmitter"	0.0478285
beacon	0.0475589
meteorite	0.0474497
spacecraft	0.0474444
"laptop computer"	0.0474183
cargo	0.0473551
"crash landing"	0.0471674
carnivore	0.0469583
insulation	0.0466513
ReplayTV	0.0465705
parachute	0.0464259
Gene	0.0463298
"electronic equipment"	0.0463246
tail	0.0462316
chromosome	0.046164
warhead	0.0461598
thruster	0.0461399
"electrical system"	0.0460655
luggage	0.0460557
crewman	0.0458458
airplane	0.0458393
GPS	0.0457759
valve	0.0454656
avionics	0.0450581
artifact	0.0450373
laptop	0.0449704
"Baby Bells"	0.0449131
MD-@@	0.0448991
"spy satellite"	0.0447535
cabin	0.0446854
microphone	0.0446814
"electrical device"	0.0445746
"cooling system"	0.0445278
"pipe organ"	0.0445025
"slip of paper"	0.04448
electrode	0.0442675
rescuer	0.0441981
packet	0.0440693
drone	0.0440135
"meteorological satellite"	0.0437485
"chemical compound"	0.0436329
defibrillators	0.0435498
electronics	0.0432788
Robot	0.0431476
capsule	0.0429941
generator	0.0428621
submarine	0.0427614
"duffel bag"	0.0427334
audio	0.0427002
node	0.0425808
turbine	0.0425257
disc	0.0424081
"alarm system"	0.0423192
DNA	0.0420796
genomes	0.0420436
spoiler	0.0419536
porthole	0.0419484
GSM	0.041948
baggage	0.0419199
genome	0.0419093
"weather satellite"	0.0412153
stents	0.04103
timer	0.0408873
"global positioning system"	0.0408015
kit	0.040715
"mechanical device"	0.0405839
briefcase	0.0404651
contraband	0.0402697
brake	0.040259
businesswomen	0.0400934
"Eric Robert Rudolph"	0.0400058
))
("black cat" (desc 1662.16) (sims
"Le Bernardin"	0.0874917
Spago	0.0869636
"Chez Panisse"	0.0742276
McDonalds	0.0644863
bloke	0.06348
Cheshire	0.0569761
"Kentucky Fried Chicken"	0.0560294
duckling	0.0545876
cowgirl	0.0527454
"Little Dog"	0.0524058
hooter	0.0522142
"repertory company"	0.0515488
damnation	0.0513153
ninja	0.0507267
"Planet Hollywood"	0.0507147
Brasserie	0.0500804
"navy blue"	0.0489796
"Brooks Brothers"	0.0469596
"Beanie Baby"	0.0468416
sit-down	0.046828
bimbo	0.046456
salamander	0.0458803
ghoul	0.0458557
"sugar refinery"	0.0458051
beagle	0.0452988
kitty	0.0450744
"Oliver McCall"	0.0443653
snowman	0.0439047
ARCADIA	0.0438976
Springbok	0.0438901
pug	0.0436041
bunny	0.0434615
"toilet seat"	0.0433377
scarecrow	0.0432948
Tex-Mex	0.0428589
KFC	0.0424027
poodle	0.0421831
Lycra	0.0412311
"test-tube baby"	0.0411584
Savoy	0.0411473
"John Doe"	0.0410258
"Meet Joe Black"	0.0409527
"first school"	0.0407592
"Waffle House"	0.0405755
taskforce	0.0405692
"Dirty Dancing"	0.0402835
Rubicon	0.0401067
))
("Black Entertainment Television" (desc 1624.84) (sims
"Animal Planet"	0.234968
"Court TV"	0.139651
"History Channel"	0.13194
"Fox News"	0.119533
VH@	0.0999399
MSNBC	0.099152
CNBC	0.0989851
C-Span	0.0989677
"Turner Sports"	0.0949707
"TV Land"	0.0934361
"Comedy Central"	0.0880343
"Dow Jones &AMP; Co."	0.0845288
Telemundo	0.0819336
"Silicon Graphics"	0.0778822
Univision	0.0776803
"Halliburton Co."	0.0776044
"Hyundai Group"	0.0769558
"Paramount Pictures"	0.0765316
"Golf Channel"	0.0760901
TNN	0.0750937
"Symantec Corp."	0.0735597
"Discovery Channel"	0.073021
"Boeing company"	0.0719395
Nickelodeon	0.0714536
FX	0.0705987
"Computer Associates"	0.0703239
"Fox News Channel"	0.0702162
"Cable News Network"	0.0700416
YankeeNets	0.0681182
"National Awakening Party"	0.0674041
Geron	0.0667886
"True North"	0.066158
bravo	0.0655968
TNT	0.0640326
"Food Network"	0.0622534
"Knight Ridder"	0.0602571
"Fox Sports Net"	0.0601357
"Wal-Mart Stores Inc."	0.0599086
"Oracle Corp."	0.0591802
PAX	0.0590024
"Vanguard Group"	0.0570619
AIG	0.057024
"USA Network"	0.0563826
"Hearst Corporation"	0.0560261
Tenneco	0.0555605
"Pax TV"	0.0554033
"Lotus Development Corp."	0.0544563
REVLON	0.0538239
IRC	0.0537459
E-LOAN	0.053709
"Time Inc."	0.0534858
WMUR-TV	0.0529634
"USA Networks"	0.052777
CNNfn	0.0519542
MetLife	0.051877
Healtheon	0.0515303
"Housing Authority"	0.0510165
"Operation Rescue"	0.0505201
"Robertson Stephens"	0.0504506
Marketspan	0.0502097
"Hewlett-Packard Co."	0.0486805
"Freedom Forum"	0.0485729
Lilco	0.048515
EarthLink	0.0484795
"Bloomberg News"	0.048107
"Dell Computer Corp."	0.0479253
"Congressional Black Caucus"	0.0478104
CCF	0.047176
"Earth Day"	0.0471565
MACROMEDIA	0.0469483
"Entertainment Tonight"	0.0469188
"Gap Inc."	0.046874
"National Semiconductor"	0.0467852
VH-@	0.0466388
Broadcast.com	0.0465893
"Motion Picture Association of America"	0.0462926
"New York Times Co."	0.0462276
Westinghouse	0.0461109
"Livent Inc."	0.0459199
"Conde Nast"	0.0455193
"Orange County Register"	0.0453435
"HBO &AMP; Co."	0.0452496
"Salt Lake Organizing Committee"	0.0449928
"America Online Inc."	0.0448528
"Tribune Co."	0.0447219
ABS-CBN	0.0445369
"Dell Computer"	0.0442864
ESPN@	0.0442695
MCA	0.0439194
"Championship Auto Racing Teams"	0.0437849
"Times Co."	0.0437226
"Sun Microsystems Inc."	0.0436503
"Motorola Inc."	0.0435559
"Turner Broadcasting"	0.0435079
Genzyme	0.0434598
"Chrysler Corp."	0.043228
"American Psychological Association"	0.043183
RealNetworks	0.0431281
QVC	0.0429936
ValuJet	0.0426628
women.com	0.0424891
Instinet	0.0423545
"San Miguel"	0.0422618
"Kraft Foods"	0.0421157
Infoseek	0.0418984
Halliburton	0.0417672
"National Commission"	0.0417501
"Airport Authority"	0.0416684
"Sporting News"	0.0415181
"China Society"	0.0414903
"Turkish Republic"	0.0413908
MSG	0.0413281
"Fred Meyer"	0.0413228
"Hughes Electronics"	0.0411246
"Universal Studios"	0.0410097
"Electoral Commission"	0.0407343
"Chronicle Publishing"	0.0406223
))
("black eye" (desc 7555) (sims
bruise	0.141313
abrasion	0.128906
laceration	0.102293
"neck brace"	0.0968815
headache	0.0902409
scrape	0.0899176
welt	0.0837583
concussion	0.0791517
eyelid	0.0784422
scar	0.0769461
sprain	0.0750377
contusion	0.0749877
rib	0.074173
jaw	0.0728767
cheekbone	0.0726018
Gash	0.0725612
comeuppance	0.0714077
"eye socket"	0.067835
teeth	0.0674283
fracture	0.0671235
nose	0.0668397
whiplash	0.065937
embarrassment	0.0649619
stomachache	0.0635848
lip	0.0633359
"close call"	0.0623789
cheek	0.0617397
eyebrow	0.0608051
setback	0.0605267
bandage	0.0598283
hiccup	0.0597174
blister	0.0596491
"speeding ticket"	0.0595685
gaffe	0.059058
fillip	0.059036
navel	0.0588451
sore	0.0587567
forehead	0.0583872
no-decision	0.0580725
"pain in the neck"	0.0572753
tattoo	0.0571066
braid	0.0552981
smooch	0.055204
"elbow room"	0.0549994
grin	0.0543156
comedown	0.0539244
tail	0.0538336
abdomen	0.0536303
"all clear"	0.0530796
"sore throat"	0.0529941
"hot potato"	0.0529436
"nose ring"	0.0529063
letdown	0.0528848
windfall	0.0528001
skull	0.0523866
sideburn	0.0523158
moustache	0.05174
ankle	0.0516813
nostril	0.0516612
"identity crisis"	0.0515227
sunburn	0.0512669
nosebleed	0.050995
PIERCINGS	0.050541
"face lift"	0.0504971
sendoff	0.0503581
"popularity contest"	0.0502116
hernia	0.0500954
limb	0.0499975
"birthday present"	0.0498988
goatee	0.049824
acne	0.049287
eyeliner	0.0492157
trauma	0.0489673
Chin	0.0489118
bonanza	0.0487352
send-off	0.0485463
kneecap	0.0484727
"breathing space"	0.0482586
"chest pain"	0.0482506
whammy	0.0482477
flack	0.048104
drawback	0.0479711
whipping	0.0477846
hangover	0.0477814
"Christmas present"	0.0477396
nonevent	0.0477277
snout	0.0476402
"bullet hole"	0.0476184
"piece of work"	0.0475275
"bear hug"	0.0475012
irritant	0.0474229
mustache	0.0472866
tongue	0.0471887
"breathing room"	0.0469531
no-brainer	0.0469423
crapshoot	0.0469244
handicap	0.0467477
scalp	0.0466075
distraction	0.0465767
"cash crunch"	0.0465731
"test case"	0.0465447
groin	0.0464529
breather	0.0463198
"cold shoulder"	0.0463159
"back pain"	0.0462928
soreness	0.0462585
"clean slate"	0.0460239
Downer	0.0459895
"bill of health"	0.0459709
lump	0.0459374
complexion	0.0459209
belly	0.0458442
swelling	0.0456335
"positive feedback"	0.045619
"break of serve"	0.045572
Afro	0.0453763
collarbone	0.0451819
dustup	0.0450053
fright	0.0449514
"day of rest"	0.0447727
thorn	0.0447047
facial	0.0446949
malformation	0.0445429
ache	0.0445293
"day of reckoning"	0.0445247
nightmare	0.0444828
freckle	0.0444305
dimple	0.0443464
"death knell"	0.0442762
"human face"	0.0442464
blunder	0.0442259
splint	0.0441249
"smoke screen"	0.0440265
tonsil	0.0437013
forearm	0.0435886
discoloration	0.0435755
throat	0.0432425
heartburn	0.0431794
nausea	0.0427634
"margin call"	0.0427423
thumb	0.0424634
hairdo	0.0423666
"warning signal"	0.0421657
pelvis	0.0419169
Tooth	0.0418369
spasm	0.0418366
"seal of approval"	0.0418168
pimple	0.0417625
"extra points"	0.0415936
run-in	0.0414101
"financial loss"	0.0411852
"market correction"	0.0411418
"hole in the ground"	0.0411244
facelift	0.0410973
lung	0.0410572
thumbs-up	0.0410225
haircut	0.0409963
whopper	0.0408409
"skin disease"	0.0407721
thigh	0.0407502
"reference work"	0.040648
"question mark"	0.0404341
flare-up	0.0404189
shamrock	0.040331
"turning point"	0.0402763
))
("black flag" (desc 1850.25) (sims
"white flag"	0.16249
"yellow flag"	0.145778
"national flag"	0.138806
streamer	0.138672
pompom	0.128808
"Union Jack"	0.125027
bunting	0.124906
tricolor	0.0950866
placard	0.0922485
confetti	0.0850259
ribbon	0.0790778
sparkler	0.0788567
"Confederate flag"	0.0775126
scarf	0.0770288
"blue ribbon"	0.0760766
"Old Glory"	0.0760217
"yellow light"	0.075922
"cobalt blue"	0.0729606
"Stars and Stripes"	0.0727779
"grocery bag"	0.068777
lantern	0.0680156
pennant	0.0655454
"dog tag"	0.0642604
"sheet of paper"	0.0637236
turquoise	0.0607782
sheaf	0.0605044
bullhorn	0.0593714
"hockey stick"	0.0583806
carnation	0.0581944
crucifix	0.0580918
"tree branch"	0.0579678
armful	0.056724
handkerchief	0.0562143
"clenched fist"	0.0556624
"two fingers"	0.0555126
signboard	0.055432
"beer bottle"	0.0543939
musket	0.0542768
"wedding party"	0.0542355
aquamarine	0.0540332
noose	0.0534456
armband	0.0533315
effigy	0.0532792
"royal blue"	0.0520333
clothesline	0.0510352
garland	0.0508119
needlepoint	0.0506978
fistful	0.0503995
"landscape painting"	0.0498336
tarp	0.0497051
parasol	0.0495564
rosary	0.0494282
"golf bag"	0.0492887
"tape measure"	0.0492846
periwinkle	0.0491175
Matchbox	0.0489332
knuckleball	0.0487596
stethoscope	0.0487407
frond	0.0481069
lavender	0.0476349
pail	0.0475529
turbot	0.0474717
"coat of arms"	0.0472464
lilac	0.0472251
cowbell	0.046081
"bed sheet"	0.0460615
clipboard	0.0456735
AC/DC	0.045534
livery	0.0455176
"little hand"	0.045333
albatross	0.0452465
"beach towel"	0.0452201
Sari	0.0450011
Chloe	0.0446041
"green pepper"	0.0443692
"blue angel"	0.0440126
"fishing rod"	0.0439127
"electric guitar"	0.0438634
broom	0.0437655
icicle	0.0435712
"book bag"	0.0428032
falsity	0.0421991
bandana	0.0420685
"teddy bear"	0.0414645
scrim	0.0408808
MiGs	0.0408418
Seng	0.0408031
lapel	0.0407122
"boxing glove"	0.0406997
JAT	0.0406643
"spider web"	0.0406564
"white blood cell"	0.0405951
vestment	0.0405047
planeload	0.0404578
"toilet seat"	0.0403719
"walking stick"	0.0401736
ponytail	0.0401635
carbine	0.0401112
chartreuse	0.0400311
))
("Black Hills" (desc 1314.71) (sims
"Tim Johnson"	0.0757901
"Tom Daschle"	0.0733889
"Craig Thomas"	0.0677751
Andes	0.0587125
"federal district"	0.0559382
Drenica	0.0537226
moonscape	0.0534265
Bamiyan	0.053072
Badlands	0.052678
"Lake Tahoe"	0.0521976
"Jeff Sessions"	0.0512347
"more than one billion yuan"	0.0500268
"back country"	0.0494067
sierra	0.048486
"Sierra Nevada"	0.0479814
Thomasville	0.0476388
rainforest	0.0474056
"Beibu Gulf"	0.0471244
"Flagler County"	0.0471024
"Kuril Islands"	0.046078
"Italian Alps"	0.0454647
"Rocky Mountains"	0.0453414
Shays-Meehan	0.0449064
Taloqan	0.0446244
"Sinai Peninsula"	0.0445754
"more than @ billion yuan"	0.0445592
Qomolangma	0.0440562
"more than @.@ billion yuan"	0.0438896
"over @,@@@ meters"	0.0434172
"over @@@ billion yuan"	0.0432158
CHT	0.0425402
"over @,@@@ tons"	0.0424807
Golan	0.0418623
"Everglades National Park"	0.0415321
panhandle	0.0412058
))
("Black History Month" (desc 1258.98) (sims
"Veterans Day"	0.186675
"Earth Day"	0.184513
"World Environment Day"	0.17235
"May Day"	0.156105
Juneteenth	0.153001
"Rosh Hashana"	0.137129
"World AIDS Day"	0.129889
"Jewish Sabbath"	0.123085
"International Day"	0.122333
"Chinese Lunar New Year"	0.12146
"religious holiday"	0.121179
"Lunar New Year"	0.116606
Hanukkah	0.114581
"Good Friday"	0.10654
Easter	0.105474
"National Day"	0.104666
bicentennial	0.103504
"Bastille Day"	0.102646
"Holy Year"	0.101584
Passover	0.100893
"Chinese New Year"	0.0998823
solstice	0.0967702
Eid	0.0947501
"Independence Day"	0.0926242
"third millennium"	0.0899621
"Mother's Day"	0.0894375
"Fourth of July"	0.0881235
Centenary	0.0857251
"wedding anniversary"	0.0844254
"Memorial Day"	0.0834747
"Yom Kippur"	0.0833269
Sabbath	0.0831527
"Father's Day"	0.082709
"feast day"	0.0824739
jubilee	0.0794721
Oktoberfest	0.077757
Ramadan	0.0764371
"national holiday"	0.0763558
centennial	0.0757616
"International Year"	0.0743476
"Mardi Gras"	0.0736087
"St. Patrick's Day"	0.0713326
Kwanzaa	0.0709111
"Spring Festival"	0.0676257
Lent	0.0660288
rededication	0.0649364
"holy day"	0.064056
"solar eclipse"	0.0612609
"Oslo Accords"	0.0611311
"Valentine's Day"	0.0597091
millenium	0.0594322
fasting	0.0588206
renaming	0.057434
mitzvah	0.0564153
weeklong	0.0529345
emancipation	0.0478609
"Easter Sunday"	0.0466709
Sinhala	0.0466187
"six billion"	0.0460508
"bar mitzvah"	0.0454227
Eurobond	0.0450291
"One-China Principle"	0.0441037
armistice	0.0435827
"Joint Statement"	0.0432676
"change of direction"	0.0419215
"Wimbledon Tennis Championships"	0.0418492
"Lei Feng"	0.0411185
monthlong	0.0407144
"house party"	0.0403962
unpopularity	0.040163
))
("black hole" (desc 15039.7) (sims
"neutron star"	0.162376
quasar	0.142082
galaxy	0.113387
supernova	0.110282
planet	0.0837045
Universe	0.0807634
"solar system"	0.0778673
meteorite	0.0692273
"ice crystal"	0.0664393
particle	0.066321
abyss	0.0661437
neutrino	0.0653881
"Milky Way"	0.0641552
quark	0.0640493
asteroid	0.0634259
void	0.0632107
maw	0.0619818
cluster	0.0601027
vacuum	0.0597657
sinkhole	0.0586912
Atom	0.0584232
phenomena	0.0562367
cloud	0.0549287
fireball	0.0545753
"body of water"	0.0534585
"subatomic particle"	0.0519125
molecule	0.0512321
Moon	0.0497878
"Big Bang"	0.0486365
vortex	0.0486343
neuron	0.0481077
maelstrom	0.0481043
Halo	0.0478742
loophole	0.0476231
malfunction	0.0474756
hemoglobin	0.0471973
"time capsule"	0.0463443
Dinosaur	0.0460647
nuclei	0.0457691
"free radical"	0.0455795
morass	0.045433
spiral	0.0452168
bubble	0.0446599
electron	0.0442577
organism	0.0442482
"time bomb"	0.0441048
cosmos	0.0440175
reservoir	0.0439343
ravine	0.0437183
microbe	0.0436508
comet	0.043401
Meteor	0.0433843
creature	0.0433699
"futures exchange"	0.0433573
"magnetic field"	0.0433056
crater	0.0431514
clot	0.0420611
"life form"	0.0419452
Proton	0.0418806
Ripple	0.0415031
fossil	0.0414201
shortfall	0.041214
Gene	0.0411515
mutation	0.0409217
mystery	0.040796
ocean	0.0407507
"West Nile"	0.0405573
"explosive device"	0.0405391
phenomenon	0.0404855
cyst	0.0404322
indentation	0.040326
darkness	0.0402534
sphere	0.0402136
droplet	0.0401553
"El Nino"	0.0401007
))
("black magic" (desc 2560.52) (sims
occult	0.0900147
sloop	0.0789438
Wicca	0.0787649
Qigong	0.0682194
witchcraft	0.0673474
"Team New Zealand"	0.0657288
shui	0.0593575
polygamy	0.0570085
"Bayi Rockets"	0.0559226
"Luna Rossa"	0.0554889
kiwi	0.0541484
"alternative medicine"	0.0524933
"Islamic Welfare Party"	0.051725
"North Island"	0.0504547
Falun	0.050321
Dougherty	0.0494415
Longo	0.0489865
TCM	0.0485523
"Seibu Lions"	0.0484539
screwball	0.0483663
Tanaka	0.0454113
AmericaOne	0.0447756
triage	0.0443996
Makinen	0.0443176
"Brett Steven"	0.0436339
spikers	0.0435081
"martial art"	0.0431686
Seizinger	0.0431302
"Liaoning Hunters"	0.0408191
"Mike Moore"	0.0401321
))
("black man" (desc 32178.3) (sims
"white man"	0.16928
"black woman"	0.152042
man	0.127514
"white woman"	0.127008
"young man"	0.12518
woman	0.11466
teen-ager	0.114506
"black person"	0.113327
African-American	0.111238
black	0.106143
girl	0.105413
boy	0.104517
"young woman"	0.104021
immigrant	0.103842
"James Byrd Jr."	0.103161
"James Byrd"	0.102921
"Amadou Diallo"	0.101086
male	0.0970866
youth	0.0968256
inmate	0.0947328
teenager	0.093036
"Patrick Dorismond"	0.0924374
Hispanic	0.0907948
policeman	0.0899055
Jew	0.0868805
"police officer"	0.0862168
"young girl"	0.085798
"little girl"	0.0854175
soldier	0.0839281
adult	0.0833293
person	0.0830776
"Rodney King"	0.0827759
policemen	0.0824441
civilian	0.0818865
child	0.0810813
student	0.0807321
"college student"	0.0799557
"drug dealer"	0.0794223
mother	0.0785631
"Matthew Shepard"	0.0780605
female	0.0779646
defendant	0.0773663
Latino	0.0772625
kid	0.077256
Ileto	0.0771336
someone	0.0769791
officer	0.0768466
youngster	0.075867
teens	0.0756274
American	0.0748494
"prison guard"	0.0746088
prisoner	0.0745297
"people of color"	0.0744119
Diallo	0.0743046
citizen	0.0742574
prostitute	0.0742197
Cop	0.0739554
worker	0.0735128
Byrd	0.0727489
villager	0.0725769
suspect	0.0721873
priest	0.0721853
victim	0.0718694
white	0.071362
guardsmen	0.0711952
brother	0.071143
servicemen	0.0708139
journalist	0.0699481
"security guard"	0.0698503
driver	0.0696908
activist	0.0693197
businessman	0.0692864
infant	0.0691487
motorist	0.0691028
peddler	0.0690631
son	0.0690079
guy	0.0687241
Iranian	0.0686649
murderer	0.0683551
father	0.0679446
"Barnett Slepian"	0.0677885
"old woman"	0.0677124
foreigner	0.0674967
settler	0.0673147
felon	0.0670248
girlfriend	0.0668549
"African Americans"	0.0667317
teacher	0.0666776
"little boy"	0.0665162
assailant	0.0664177
housewife	0.0663486
athlete	0.0660932
attacker	0.0656579
"married man"	0.0656376
Briton	0.0655299
offender	0.0655233
nun	0.0648891
Israeli	0.064864
individual	0.0644005
Serbs	0.0643
resident	0.0641493
ex-convict	0.0640981
husband	0.0640071
parent	0.0639521
"African American"	0.0638671
Texan	0.0637999
dissident	0.0635688
stranger	0.0632089
couple	0.0631469
firefighter	0.0631259
protester	0.0628295
robber	0.0628054
adolescent	0.0621384
Filipino	0.0621235
criminal	0.0621059
smoker	0.062037
politician	0.0618513
wife	0.0617772
juvenile	0.0614202
African	0.0613872
motorcyclist	0.0613635
Palestinian	0.0610678
schoolteacher	0.0610579
minority	0.0608496
trooper	0.0607516
Mexican	0.0605622
doctor	0.060465
gunman	0.0604524
"family member"	0.0601626
baby	0.0601092
veteran	0.0601091
sailor	0.0599739
patient	0.0599465
uncle	0.0598661
musician	0.0597391
Muslim	0.0596781
"truck driver"	0.0593899
farmer	0.0593803
christian	0.0592494
bystander	0.0592487
sister	0.059154
slave	0.0591261
anyone	0.0588672
classmate	0.0588012
burglar	0.0586636
homosexual	0.0584303
Sergeant	0.0583366
Englishman	0.058309
daughter	0.0583068
"federal agent"	0.0582656
serviceman	0.058143
lesbian	0.0581239
fisherman	0.0580591
drifter	0.0578956
Spaniard	0.0577796
"American Indian"	0.0577715
"married woman"	0.057698
supremacist	0.0576061
Catholic	0.0575281
hitchhiker	0.0575176
gunmen	0.0573932
Gay	0.0572862
Killer	0.0572275
Cuban	0.0572272
Dorismond	0.056946
Shepard	0.0568928
miner	0.056726
gentleman	0.056654
"football player"	0.0566294
German	0.056504
"old man"	0.0564687
demonstrator	0.0563427
Albanian	0.0560696
thief	0.0560649
dog	0.0560586
actor	0.0558755
noncombatant	0.0558602
nurse	0.0558508
photographer	0.0558194
Asian	0.0558016
cadet	0.0557831
stepdaughter	0.0557574
Jordanian	0.0556631
fellow	0.0556597
policewoman	0.0556427
monk	0.0556065
blonde	0.0555336
skinhead	0.0554446
guard	0.0554054
Barton	0.055345
schoolgirl	0.0553324
Slepian	0.0551251
ex-girlfriend	0.0550592
intruder	0.0550458
writer	0.0547504
folk	0.0547491
peasant	0.0546339
Frenchman	0.0546312
boxer	0.0546307
"murder suspect"	0.0546242
))
("black market" (desc 12092.7) (sims
"drug trade"	0.0837676
"stock exchange"	0.0691629
smuggling	0.0658492
"chain store"	0.0657966
"futures market"	0.0650478
trafficking	0.0640163
"high street"	0.0629376
"currency market"	0.0621713
barter	0.0614755
after-hours	0.0614498
retail	0.0613131
interbank	0.0589119
"gambling casino"	0.0584657
"foreign exchange market"	0.0580455
derivative	0.057426
FOREX	0.057382
arbitrage	0.0568863
prostitution	0.0568786
poaching	0.0562991
banditry	0.0556353
"foreign exchange"	0.054805
graft	0.0540432
"drug problem"	0.0530377
"consumer demand"	0.0527962
narcotic	0.0520123
Bourse	0.0517781
"juvenile delinquency"	0.0517212
"film industry"	0.0507286
"securities market"	0.0506453
resale	0.0505146
"crime wave"	0.0502388
"coca crop"	0.0501315
"elephant population"	0.0497905
vending	0.0496066
"steel production"	0.0489127
gunrunning	0.0488491
"organized crime"	0.0484738
"money market"	0.0482026
newsstand	0.0479931
subculture	0.047963
"waiting list"	0.0479486
"drug trafficking"	0.0478349
lawlessness	0.0474501
"slush fund"	0.0469605
piracy	0.0469018
"money laundering"	0.0467211
eBay	0.0463386
syndicate	0.0462311
"drug sale"	0.0460854
"life insurer"	0.0458951
"toy store"	0.0454318
business-to-business	0.0453019
diamond	0.0450418
"rising prices"	0.0450009
"debt market"	0.0448655
bullion	0.0446659
"e- commerce"	0.0441153
"bond market"	0.0438818
"trading floor"	0.0437302
B@B	0.0437149
outflow	0.043181
self-service	0.0431544
"labor force"	0.0430895
lottery	0.0427791
selling	0.0426038
"medicare payment"	0.0425554
petroleum	0.0424663
"charge card"	0.0423057
"flea market"	0.0420912
"mailing list"	0.0419887
ECNs	0.0419866
"junk bond"	0.0418802
remittance	0.0414797
"middle class"	0.0413037
"Beanie Baby"	0.0412261
fraud	0.0411974
supermarket	0.041175
"tax shelter"	0.0410577
"insurance market"	0.0410547
non-oil	0.0409814
"Big Board"	0.0409641
cartel	0.0406583
"crime rate"	0.0405999
marketplace	0.0404343
inflow	0.0403956
"tax evasion"	0.0403288
"capital gain"	0.0402246
"New York Mercantile Exchange"	0.0402104
"budget deficit"	0.0401649
stockpile	0.0400531
))
("black olive" (desc 3379.3) (sims
"green olive"	0.297662
"red onion"	0.267216
"green pepper"	0.255551
olive	0.240641
"green onion"	0.230048
"red pepper"	0.218379
"bell pepper"	0.214329
scallion	0.21252
celery	0.212238
parsley	0.20531
shallot	0.201264
avocado	0.201039
"water chestnut"	0.196527
cilantro	0.195896
cucumber	0.195775
"cherry tomato"	0.191919
Basil	0.187013
tarragon	0.18412
zucchini	0.18327
leek	0.181377
"pine nut"	0.180252
tomato	0.179424
onion	0.17876
marjoram	0.178533
Garlic	0.175583
oregano	0.174043
lemongrass	0.173861
caper	0.170383
chilies	0.164531
dill	0.164424
fennel	0.163893
chive	0.163153
eggplant	0.160069
mushroom	0.158113
FETA	0.155405
carrot	0.152908
"goat cheese"	0.152383
radish	0.151952
thyme	0.151659
walnut	0.149071
mozzarella	0.147009
lettuce	0.145835
anchovy	0.145655
jalapeno	0.143108
almond	0.140964
salami	0.140212
rosemary	0.140023
"macadamia nut"	0.139067
apricot	0.138725
pepper	0.138669
"sour cream"	0.138188
chervil	0.138114
Parmesan	0.136797
"garlic clove"	0.136085
mint	0.135628
mayonnaise	0.134089
watercress	0.133503
"lemon juice"	0.133312
raisin	0.132556
vinegar	0.132545
"whipping cream"	0.132529
"beef broth"	0.130344
pancetta	0.129242
chiles	0.129179
prosciutto	0.1283
"peanut oil"	0.127593
mustard	0.127528
spinach	0.127371
"hot pepper"	0.126854
"tomato paste"	0.126601
cheese	0.126429
"plum tomato"	0.125535
ginger	0.124691
artichoke	0.123371
"olive oil"	0.123263
"green bean"	0.122511
"shiitake mushroom"	0.122324
arugula	0.11964
"Chinese cabbage"	0.119284
ricotta	0.118022
prune	0.118008
currant	0.115889
"roast beef"	0.115371
hazelnut	0.115335
"bay leaf"	0.115065
chorizo	0.11482
"chicken broth"	0.114695
nectarine	0.113845
"Worcestershire sauce"	0.113817
bacon	0.113279
"lime juice"	0.113263
"lemon zest"	0.112715
chutney	0.111771
plum	0.111377
"tomato sauce"	0.110749
"blue cheese"	0.110403
mango	0.110321
pecan	0.10955
cauliflower	0.109173
tomatillo	0.108021
cabbage	0.106036
ham	0.105856
"brussels sprout"	0.105182
"fennel seed"	0.105126
okra	0.104978
pistachio	0.104633
"hard-boiled egg"	0.104352
turnip	0.102623
pesto	0.102485
chevre	0.102274
asparagus	0.102094
"cumin seed"	0.101552
ketchup	0.101318
"bean sprout"	0.101124
Chili	0.101021
peppercorn	0.100928
pineapple	0.100836
porcini	0.100085
herb	0.0998095
yogurt	0.099558
"snow pea"	0.0994046
"Swiss chard"	0.0988848
"sesame seed"	0.0984137
"chili powder"	0.0982413
Tamarind	0.0976219
"coconut milk"	0.0973961
"cider vinegar"	0.0973462
"black bean"	0.0970665
vinaigrette	0.0969474
pickle	0.0964378
peanut	0.0961311
beet	0.0957649
breadcrumb	0.0956379
"wine vinegar"	0.0953434
parsnip	0.0952789
"heavy cream"	0.095204
pea	0.0947178
Broccoli	0.0939069
"chicken stock"	0.0938451
"orange zest"	0.0937422
tahini	0.0933764
peach	0.0933378
Sage	0.0923703
"string bean"	0.0922496
"about @ cups"	0.0920437
"chili sauce"	0.0920252
lemon	0.0920246
"red bell pepper"	0.0916247
pimento	0.0909682
potato	0.0905512
cumin	0.0904754
cashew	0.0901135
"chili pepper"	0.0900146
"skim milk"	0.0900136
fig	0.0895334
morel	0.0895136
half-and-half	0.0890697
"bittersweet chocolate"	0.0883359
Cherry	0.088335
crumb	0.0881621
squash	0.0880209
salsa	0.0879947
"soy sauce"	0.0877495
Or	0.0871253
"black pepper"	0.0868335
paprika	0.0865518
"white wine"	0.0865264
"dried fruit"	0.0864878
horseradish	0.0864723
"cottage cheese"	0.0864619
cantaloupe	0.0859709
"white bread"	0.0852548
butter	0.0848083
molasses	0.0843092
applesauce	0.0842624
melon	0.0840724
chard	0.0833248
Quince	0.0831805
puree	0.082784
"hoisin sauce"	0.0824974
"milk chocolate"	0.0823987
"brown sugar"	0.0821796
"French bread"	0.0820713
clove	0.0817574
seasoning	0.081428
"sesame oil"	0.0808892
"raw vegetable"	0.0803681
pork	0.080031
Chickpea	0.0797286
"pumpkin seed"	0.0795831
"cream cheese"	0.079402
"about @/@ cup"	0.0792273
polenta	0.0791502
"fava bean"	0.0791459
"winter squash"	0.0790462
sauerkraut	0.0790448
RHUBARB	0.0788476
pear	0.0786166
watermelon	0.0785051
bean	0.0781017
))
("Black Panther" (desc 1624.34) (sims
"Christian Democrat"	0.140362
Kurd	0.12113
"Israeli Arab"	0.101046
claimer	0.100967
"Islamic Jihad"	0.0973457
spymaster	0.0972607
"police sergeant"	0.0960377
"NZ First"	0.0940167
"newspaper editor"	0.0935895
"National Action"	0.0916299
segregationist	0.0908952
Gesher	0.090626
"Ulster Unionist"	0.0894186
ghostwriter	0.0888533
MQM	0.0877682
Fatah	0.0877232
UDF	0.0873865
"film producer"	0.0873793
Yabloko	0.0869023
Islamist	0.086611
Kashmiri	0.0862721
infantryman	0.0855658
Beatle	0.0852911
Laudor	0.0850058
"altar boy"	0.0839783
monarchist	0.0834772
UML	0.0833145
Sandinista	0.0824913
"New Democrat"	0.0816126
"Abu Nidal"	0.0814701
"law partner"	0.0809308
"other seven"	0.0804994
"Georgia Republican"	0.0801967
royalist	0.0800532
"David Graham"	0.0790943
Raduyev	0.0786037
evangelist	0.0779812
"Wild Man"	0.0773596
"boy wonder"	0.0769904
Jelisic	0.0766454
"Bosnian Croat"	0.0766288
Taleban	0.0762189
"Shiite Muslim"	0.0760547
supremacist	0.0754786
"Islamic Movement"	0.0754547
Mease	0.0751921
Intimidator	0.0751805
Klansmen	0.0750811
"Promise Keepers"	0.075001
doer	0.0749328
PDP	0.0746093
Otpor	0.0741203
Lakas	0.0740022
KKK	0.0737027
Shulman	0.0734243
UNIP	0.0731334
"Southern Baptist"	0.0730109
Inkatha	0.0727901
"New Zealand First"	0.0723848
"Sunni Muslim"	0.072265
FORD-Kenya	0.0720196
speechwriter	0.0719121
JMC	0.0714999
McDuff	0.0714822
Markhasev	0.0712751
FOMC	0.0711986
miler	0.0709494
Veerappan	0.0708125
Agca	0.0707766
pro-Islamic	0.0707428
"Kosovo Albanian"	0.0705304
Schmitz	0.070467
"Republican House"	0.070368
scoutmaster	0.07027
Noriega	0.0695839
"Russell Peeler"	0.0690098
"foreign service officer"	0.0688369
Safina	0.0687546
"Texas ranger"	0.0681519
Cuban-American	0.0679386
"National League for Democracy"	0.0679267
"Janata Dal"	0.067683
"Chart Pattana"	0.0676222
paraplegic	0.0674779
guardsmen	0.0673563
patrolman	0.06727
"Lino Oviedo"	0.067183
AUM	0.066972
"Democratic Revolution"	0.066839
"social scientist"	0.0664959
"Northern League"	0.0664497
"Manuel Noriega"	0.0663822
Marxist	0.0661732
"sports editor"	0.0661043
Davidian	0.0658949
"New Democracy"	0.0658806
Meretz	0.0657641
Imam	0.0655894
"Jim Guy Tucker"	0.0655591
"au pair"	0.0655279
Einhorn	0.0654878
Renamo	0.065309
"big leaguer"	0.0652365
Manbar	0.0652363
"Russian Communist Party"	0.0651237
"other eight"	0.0650144
"Linda Jones"	0.0648292
"another three"	0.0646357
SDLP	0.0646076
highflier	0.0644526
"Bosnian Serb"	0.0643556
Laban	0.0642314
concertmaster	0.0642213
underling	0.0641487
neo-Nazi	0.0640653
assemblyman	0.0638854
"cabinet member"	0.0638531
shipmate	0.0636093
Baumhammers	0.0635991
"NBA All-Star"	0.0632844
Shipman	0.0632427
Klan	0.0631959
"partner in crime"	0.0631951
DPP	0.0630286
"electrical engineer"	0.0630265
DAP	0.0629609
"exotic dancer"	0.0628684
"American Jewish"	0.0628095
Craxi	0.0622919
MRTA	0.0621946
first-rounder	0.0621821
handyman	0.062073
NDP	0.0619614
Akayesu	0.0617767
Papon	0.0617696
serviceman	0.0616327
"Social Democratic"	0.0615597
bookkeeper	0.0615475
"Mark Tuinei"	0.0615302
Swango	0.0612172
CMAG	0.0611777
SDS	0.0611208
UMNO	0.0610568
"Freedom Front"	0.0610051
McVeigh	0.0607574
seminarian	0.0606346
"David Halberstam"	0.0606084
"Freedom Union"	0.0605564
"California Republican"	0.0604942
clergyman	0.0603483
Shiite	0.0602958
cameramen	0.0602734
hawkish	0.060079
KNU	0.0600158
ninja	0.0599997
co-defendant	0.0599967
Sebaggala	0.0599345
Hutu	0.0598845
"Bosnian Muslim"	0.0595976
stuntman	0.0595593
Musa	0.0594992
Barrionuevo	0.0594867
RPP	0.0594594
legionnaire	0.0593649
Priebke	0.0592386
geophysicist	0.0592176
Bowers	0.0592127
hardline	0.0591214
FRELIMO	0.059106
"certified public accountant"	0.0590599
Chinese-American	0.0589655
Berkowitz	0.058865
"Texas longhorn"	0.0587606
"real estate broker"	0.0586837
RPR	0.0586327
"Michael Moorer"	0.0586314
cartoonist	0.0585687
"Northern Irish"	0.0584544
MMD	0.0584068
militiaman	0.0584061
"sports writer"	0.0583359
"traveling salesman"	0.0582126
"John Connally"	0.0579236
Timorese	0.0578592
copywriter	0.0577614
AEC	0.0577451
newspaperman	0.0577352
Asian-American	0.0576751
"African American"	0.0576311
"police detective"	0.0576239
bodybuilder	0.0576233
newsman	0.0575317
"state senator"	0.0574935
"boy scout"	0.057448
Sunni	0.0574375
exterminator	0.0573931
"test pilot"	0.0573634
Kurdish	0.0573577
"Social Democrat"	0.0573433
CUF	0.0572169
))
("Black Panthers" (desc 2035.98) (sims
"World Church"	0.089907
"Zapatista National Liberation Army"	0.0742488
"Islamic Jihad"	0.0733717
"Democratic Unionist Party"	0.0719214
"American Association of Retired Persons"	0.0693269
"Kurdish Workers Party"	0.068013
"altar boy"	0.0666058
"Ku Klux Klan"	0.0664226
"National Association"	0.0658666
"Armed Islamic Group"	0.0654127
"Audubon Society"	0.0615955
"Log Cabin Republicans"	0.0615672
"Serbian Radical Party"	0.0605031
guerilla	0.0597235
"House Un-American Activities Committee"	0.059592
"Albanian Kosovo Liberation Army"	0.0591888
"Tupac Amaru Revolutionary Movement"	0.0582227
government-in-exile	0.0581272
"Islamic Resistance Movement"	0.0578263
"American Lung Association"	0.0574493
"National Democratic Alliance"	0.0572965
"Warsaw Pact"	0.0569635
"United National Party"	0.0568618
"Nahdlatul Ulama"	0.056733
"Orange Order"	0.0564803
"Idi Amin"	0.0561832
Klan	0.0557456
"Northern Ireland Assembly"	0.0545297
"John Connally"	0.0543663
"National Resistance Movement"	0.053994
"race riot"	0.0537257
"Khmer Rouge"	0.0530923
picketers	0.0529432
supremacist	0.0529049
Ebenezer	0.052691
"National Organization"	0.0525496
"Islamic Movement"	0.0524763
"New Democrats"	0.0521707
"Canadian Alliance"	0.0518658
"Aryan Nations"	0.0517562
plotter	0.0516304
"New Zealand First"	0.0516026
FALN	0.0512981
KKK	0.0509723
"Bosnian Croats"	0.0507623
"Martin Luther King"	0.0503329
"Muslim Brotherhood"	0.0502534
"Greek Orthodox Church"	0.0501964
"reform movement"	0.050099
"Hezbollah (Party"	0.0500034
"murder suspect"	0.0499379
tribesman	0.0494848
"Kurdistan Workers Party"	0.0494817
"Russian Communist Party"	0.0492451
"Sierra Club"	0.0491678
"Manhattan Project"	0.0485422
"trade unionist"	0.0484964
Klansmen	0.048172
Tennessean	0.0480804
"Human Rights Campaign"	0.048026
"day laborer"	0.0479468
"League of Women Voters"	0.0478078
"civil rights leader"	0.0473955
"chain gang"	0.0473271
"United Democratic Movement"	0.0472878
"Christian Democratic Party"	0.0471677
Moslem	0.0469578
"People's Democratic Party"	0.0466655
stone-throwers	0.0465
"Meretz Party"	0.0464968
"hundred thousand"	0.0463071
"Democratic Progressive Party"	0.0461501
Italian-Americans	0.0460413
PFC	0.0459004
seminarian	0.0458842
"New Aspiration Party"	0.0456813
reformation	0.045603
"child welfare agency"	0.0455627
"Alcoholics Anonymous"	0.0455278
"National Audubon Society"	0.0454749
"International Association of Machinists"	0.0453178
"Bharatiya Janata Party"	0.0452691
Hmong	0.0452631
"Red Army"	0.0450941
"Terry Nichols"	0.0448819
"National Alliance"	0.0448665
"Group of Eight"	0.0448356
"Third Way"	0.044763
Sikh	0.0447546
sorority	0.0444392
"National Liberation Front"	0.0444039
"Better Business Bureau"	0.0440716
"Democratic Convention"	0.0440518
"Green Party"	0.0440378
"China Democracy Party"	0.043899
"Rwandan Patriotic Front"	0.0438194
"Mad Dog"	0.0437998
squatter	0.0437605
"Nature Conservancy"	0.0437065
"honor guard"	0.0435969
"Gaullist Rally"	0.0435381
"Operation Rescue"	0.043475
"Israeli Knesset"	0.0432919
"Virtue Party"	0.0432335
ETA	0.0431967
"Real IRA"	0.0431179
cruiserweight	0.0431011
Zionism	0.0430577
"popular front"	0.0430441
"Asia Pacific Economic Cooperation"	0.0428804
"Caribbean Community"	0.0428141
"Democrat Party"	0.0428108
"Opium War"	0.0427003
"Iraqi National Congress"	0.0426825
"New Democracy"	0.0424956
"blue angel"	0.042471
"Democratic Alliance"	0.04242
"religious movement"	0.0424185
"Nationalist Party"	0.0424157
"Joint Liaison Group"	0.0423271
Arab-Americans	0.0423173
"Radical Party"	0.04225
Amal	0.0421616
"work group"	0.0421604
"Independence Party"	0.0420432
contras	0.0420059
"Salomon Brothers"	0.0419466
Lakas-NUCD	0.0418876
"Parti Quebecois"	0.0418165
Aristide	0.0417127
"South Lebanon Army"	0.0417101
"Association of Flight Attendants"	0.041701
"Church of Jesus Christ of Latter-day Saints"	0.0416732
"diplomatic corps"	0.041605
"East Berlin"	0.0415998
Copt	0.0415615
claimer	0.0415475
"Mormon Church"	0.0415463
"Operation Lifeline Sudan"	0.0415074
WNBF	0.0414657
"political detainee"	0.041459
"Brooklyn Dodgers"	0.0412997
"religious order"	0.0412814
"Shas Party"	0.0412729
Centerfold	0.0412453
"Islamic Welfare Party"	0.0411557
jackal	0.0411539
"voting age"	0.0410687
"political dissident"	0.0410346
"Hispanic American"	0.0410083
"Scottish Parliament"	0.0409396
"New York City Opera"	0.0408865
"East German"	0.0408318
SDLP	0.0408049
"Islamic Salvation Front"	0.0407947
"Cambodian People's Party"	0.040775
"Russian Orthodox Church"	0.0407507
"human race"	0.0407475
"paramilitary organization"	0.0406696
Otpor	0.040574
"Virgin Mary"	0.0405415
"National Abortion and Reproductive Rights Action League"	0.0404642
"Spanish Civil War"	0.0404287
"New Korea Party"	0.0403136
"National Religious Party"	0.0402551
"elephant population"	0.0402505
"Free Democratic Party"	0.0402146
"feminist movement"	0.0401501
"Royal Shakespeare Company"	0.04002
))
("black pepper" (desc 8419.24) (sims
"white pepper"	0.411293
"cayenne pepper"	0.388914
nutmeg	0.370662
cumin	0.367882
paprika	0.357685
"chili powder"	0.35147
cayenne	0.349825
allspice	0.344635
oregano	0.327753
cinnamon	0.308081
coriander	0.303818
"curry powder"	0.30136
turmeric	0.297785
pepper	0.296103
thyme	0.287936
"coriander seed"	0.283149
marjoram	0.281162
cardamom	0.280011
"fennel seed"	0.278616
peppercorn	0.273557
"baking powder"	0.270936
salt	0.26259
"cumin seed"	0.259977
"lemon juice"	0.258364
"Worcestershire sauce"	0.257718
"pepper sauce"	0.241946
"mustard seed"	0.240136
Garlic	0.239993
clove	0.238627
"garlic salt"	0.237889
ginger	0.234321
"bay leaf"	0.232479
"celery seed"	0.227076
parsley	0.226233
"lime juice"	0.224226
cilantro	0.221849
vinegar	0.219362
mustard	0.216662
"lemon zest"	0.213702
flake	0.209433
"red pepper"	0.208914
saffron	0.208436
"baking soda"	0.206798
"seasoned salt"	0.199572
Basil	0.199449
"vanilla extract"	0.199305
"soy sauce"	0.199211
rosemary	0.199123
tarragon	0.198327
"Tabasco sauce"	0.197432
"brown sugar"	0.193297
chive	0.187182
"sesame seed"	0.18253
"olive oil"	0.178624
seasoning	0.176301
shallot	0.176242
"wine vinegar"	0.174703
"sesame oil"	0.173995
vanilla	0.170743
"orange zest"	0.166651
cornstarch	0.165803
"almond extract"	0.159673
"green onion"	0.157716
powder	0.15454
chilies	0.154452
"hot pepper"	0.153227
sugar	0.150831
mace	0.147453
mint	0.145973
onion	0.144588
cornmeal	0.144423
fennel	0.144031
horseradish	0.1438
"chili pepper"	0.140753
"tomato paste"	0.137534
scallion	0.136866
"hot sauce"	0.136111
"sour cream"	0.135503
dill	0.135476
"cider vinegar"	0.13136
Tabasco	0.130228
Sage	0.129391
anise	0.129154
almond	0.129077
lemon	0.127693
chervil	0.12677
"maple syrup"	0.126357
flour	0.126132
butter	0.124814
honey	0.124537
"pine nut"	0.121535
sherry	0.120611
crumb	0.119669
mayonnaise	0.11946
chiles	0.119318
Parmesan	0.119017
jalapeno	0.118171
spice	0.116983
"green pepper"	0.113349
teaspoon	0.112159
Chili	0.111853
herb	0.111506
olive	0.110599
tomato	0.11023
lime	0.109955
caper	0.109705
"orange juice"	0.108552
"star anise"	0.108024
raisin	0.107662
coconut	0.107392
"red onion"	0.105734
cheese	0.104597
ricotta	0.104256
"chili sauce"	0.103982
"poppy seed"	0.103879
"egg yolk"	0.103842
tahini	0.103042
paste	0.102784
"vegetable oil"	0.102255
molasses	0.101403
"macadamia nut"	0.101349
buttermilk	0.0998577
"coconut milk"	0.0973697
walnut	0.0963412
"bell pepper"	0.096024
"hoisin sauce"	0.0954658
raspberry	0.0953872
sauce	0.0952271
hazelnut	0.0949272
"goat cheese"	0.0944163
savory	0.0928106
pecan	0.0921888
lemongrass	0.0903529
nut	0.0899404
anchovy	0.0897041
Or	0.0886502
pesto	0.0879164
celery	0.0876055
"peanut oil"	0.0873941
cocoa	0.0872767
"black olive"	0.0868335
"tomato sauce"	0.0861045
"corn syrup"	0.0852004
"heavy cream"	0.0851545
"chicken broth"	0.0848408
pinch	0.084821
leek	0.0844333
"white wine"	0.0843324
puree	0.0838264
soy	0.0834194
carrot	0.0831309
chutney	0.082035
flavoring	0.081758
breadcrumb	0.0813317
"vanilla bean"	0.080995
ketchup	0.0806863
yogurt	0.0803381
"grated cheese"	0.080151
shortening	0.0795836
wasabi	0.0784921
Chipotle	0.0784717
"peanut butter"	0.0782779
margarine	0.0768699
"Grand Marnier"	0.0767346
"garlic clove"	0.0766509
peppermint	0.0760919
yeast	0.0760849
cashew	0.0758484
cream	0.0757472
"whipping cream"	0.0755853
"evaporated milk"	0.0744978
kosher	0.0743483
pistachio	0.0739869
"cherry tomato"	0.0738256
truffle	0.0734214
cucumber	0.0732413
Gorgonzola	0.0729866
pancetta	0.0728093
vinaigrette	0.0726783
"red wine"	0.0725114
"blue cheese"	0.0723195
gelatin	0.0718509
juice	0.0713624
mozzarella	0.0712746
"beef stock"	0.0699814
rum	0.0699005
milk	0.0694748
"cooking oil"	0.0693096
pea	0.0684799
broth	0.067868
"orange peel"	0.0677485
peanut	0.0677284
"food coloring"	0.0676665
liqueur	0.0673606
"chicken stock"	0.0673216
"cottage cheese"	0.0661685
bacon	0.0656734
egg	0.0656564
half-and-half	0.0655398
"egg white"	0.0655193
))
("black person" (desc 2091.1) (sims
"white person"	0.193227
"big leaguer"	0.124108
baserunner	0.120029
"black man"	0.113327
"young person"	0.111302
breadwinner	0.100649
"major-league team"	0.0998526
"black woman"	0.0978739
handicapper	0.094543
"Barnett Slepian"	0.0930959
Ileto	0.0929073
first-grader	0.0926118
"Lee Harvey Oswald"	0.0914115
ex-girlfriend	0.09065
abortionist	0.0883581
Snitch	0.087642
"base runner"	0.0873883
"right whale"	0.0871672
"altar boy"	0.0870165
first-rounder	0.0864194
nonwhites	0.0862931
"major leaguer"	0.0859818
policewoman	0.0842647
"test-tube baby"	0.0832654
"service break"	0.0827365
major-leaguers	0.0809068
wage-earner	0.0801209
"rich man"	0.0801076
"Orthodox Jew"	0.0786635
"third person"	0.0785744
passerby	0.0772026
keystroke	0.0768222
"working man"	0.0765188
"wise guy"	0.0765108
"professional golfer"	0.0760005
"adult male"	0.0757978
fireman	0.0754952
"important person"	0.0753205
"good person"	0.0749124
"second person"	0.074261
Frenchmen	0.0742468
watchman	0.0740957
noncombatant	0.0737293
"fall guy"	0.0733221
nigger	0.0729839
"heroin addict"	0.0729393
Copt	0.0728459
Aboriginal	0.0728072
has-been	0.072729
"hockey coach"	0.0726188
Olympian	0.0724654
"piece of furniture"	0.0723004
"decision maker"	0.0722283
cadet	0.0720274
straggler	0.0719471
"prison guard"	0.0714225
"television star"	0.0713616
knucklehead	0.0712825
"deputy sheriff"	0.0712721
westerner	0.0712609
goofball	0.0712589
stepdaughter	0.0712224
Hani	0.0711748
Negro	0.070358
schoolboy	0.0703075
"school boy"	0.0702461
motorcyclist	0.0698272
"school girl"	0.0698192
policeman	0.0696101
stewardess	0.0694181
"Amadou Diallo"	0.0694023
"top dog"	0.0693017
Kurd	0.0691669
Frenchman	0.0691519
"married woman"	0.0691318
airman	0.069002
fella	0.0689712
Astro	0.0689683
stinker	0.0686584
kayaker	0.0684321
bystander	0.0683757
serviceman	0.0683425
"murder suspect"	0.0683398
"center of attention"	0.0683316
RFK	0.0682391
Gentile	0.0681543
"white knight"	0.0680621
Mulligan	0.0680211
Frenchwoman	0.0678057
"white man"	0.0677812
typist	0.0677801
"cabinet member"	0.0674012
"jazz musician"	0.067389
"people of color"	0.0669392
businesswoman	0.0668863
"national leader"	0.0667952
"Gianni Versace"	0.0665099
whistle-blower	0.0665072
shoplifter	0.0661116
Asian-American	0.065904
"Georgia Republican"	0.0658986
"robbery suspect"	0.0658926
stuntman	0.0657824
militiaman	0.0655097
"wage earner"	0.0654914
Knick	0.0654565
"Patrick Dorismond"	0.0654155
"double agent"	0.0653425
Dorismond	0.0653273
paraplegic	0.0651359
"first person"	0.0650004
"hockey player"	0.0648625
"guardian angel"	0.0647473
Laker	0.0646656
grandchild	0.0646412
"first pitcher"	0.0646318
grown-up	0.064628
psychoanalyst	0.0645669
"art student"	0.0644654
"Galina Starovoitova"	0.0643592
schooler	0.0642688
vagrant	0.0642655
"science teacher"	0.064108
"eye doctor"	0.0639111
Slepian	0.0637556
Caucasian	0.0636977
"police captain"	0.0636732
atheist	0.0635045
non-Jew	0.0634244
Rankin	0.0631927
hemophiliac	0.0629812
choirboy	0.0628034
"married man"	0.0627197
hitchhiker	0.062633
schoolgirl	0.0625858
Superman	0.0624756
"four-letter word"	0.0624739
autocrat	0.0623082
"African American"	0.0622382
deliveryman	0.0622079
"good Samaritan"	0.0621849
hyper	0.0621219
miler	0.0619699
herder	0.0619419
"old lady"	0.06166
firefighter	0.0616574
"guitar player"	0.0614857
"draft dodger"	0.0614421
"folk singer"	0.0614087
Minnesotan	0.0613152
Arkan	0.0611465
agnostic	0.0611064
wimp	0.0610985
double-teamed	0.0610846
"Martha Moxley"	0.0609117
learner	0.0606683
Gaither	0.0606558
inductee	0.0606072
valedictorian	0.0605846
TRUANT	0.0605748
snowflake	0.0605444
collegian	0.0601693
"Saeed Hajjarian"	0.0600188
postman	0.0600128
parolee	0.0599911
transsexual	0.0599039
fifth-grader	0.0598738
panhandler	0.0597911
sharecropper	0.0597765
preachy	0.0595086
"AIDS patient"	0.0594879
superhero	0.0594666
derelict	0.0594634
crewman	0.0593491
"living thing"	0.0593065
interloper	0.0592354
beautician	0.0590801
Spaniard	0.0590456
inductees	0.059015
intruder	0.0590094
cabby	0.0589818
eighth-grader	0.0588373
violinist	0.0587102
Diallo	0.0586592
whiner	0.05857
eyewitness	0.0585376
"foster child"	0.0584889
"baseball player"	0.0584863
"Baby Bell"	0.0584807
typecast	0.0584421
goal-scorer	0.0583288
"Canadian province"	0.0582382
stoplight	0.0581691
Starovoitova	0.0581414
"disc jockey"	0.0580472
zinger	0.0579667
Escobar	0.0579455
perfectionist	0.0579329
skier	0.0579122
"break of serve"	0.0578706
))
("Black Sabbath" (desc 1675.32) (sims
Metallica	0.165463
"Pink Floyd"	0.164557
AC/DC	0.158629
"Limp Bizkit"	0.15696
"Van Halen"	0.147521
R.E.M	0.117792
"Dave Matthews Band"	0.10984
"Neil Young"	0.105511
"Pearl Jam"	0.103061
Korn	0.102132
Phish	0.100625
Aerosmith	0.0961299
Fugees	0.0929305
"Billy Joel"	0.0913066
"Rolling Stones"	0.0910758
"Elton John"	0.0859801
"Grateful Dead"	0.083946
"Sugar Ray"	0.0826747
"Iggy Pop"	0.0805407
REM	0.0784242
"Beastie Boys"	0.0715735
"Janet Jackson"	0.0711181
Hendrix	0.0695964
"Marilyn Manson"	0.0688921
"Van Morrison"	0.0687661
"Bob Dylan"	0.0685998
"Red Hot Chili Peppers"	0.0684656
U@	0.0684432
"Woody Guthrie"	0.0684428
"Kid Rock"	0.0682598
"Jimi Hendrix"	0.0678848
"Bruce Springsteen"	0.0665931
Santana	0.0656564
Dre	0.0656326
Menudo	0.0652772
"Spice Girls"	0.0639179
FloJo	0.0626867
"Jimmy Buffett"	0.0590815
"B.B King"	0.0588039
"Janis Joplin"	0.0585001
"Boston Pops"	0.057725
"N Sync"	0.0568401
"Steely Dan"	0.0561237
"Hank Williams"	0.0550091
"Alanis Morissette"	0.0549397
Eminem	0.0541663
"big band"	0.053584
"Backstreet Boys"	0.052614
"Smashing Pumpkins"	0.0517734
bluesy	0.0517245
"Mariah Carey"	0.0511619
"Dixie Chicks"	0.0500654
"Celine Dion"	0.050056
"James Brown"	0.0498434
"Alice Cooper"	0.0489838
"Koji Ito"	0.0487157
"Rosa Parks"	0.0481247
"Ray Charles"	0.0479909
Springsteen	0.0479194
"Charles Lindbergh"	0.0475171
Manson	0.0469627
"Fighting Irish"	0.046641
Stillwater	0.046095
"Elvis Costello"	0.0452641
"James Taylor"	0.044968
"Paul Simon"	0.044868
"Chuck Berry"	0.0441058
"Miles Davis"	0.0435321
Blondie	0.0434505
"electric guitar"	0.0433126
Supremes	0.0432958
nirvana	0.0430333
"Lilith Fair"	0.0425962
"Stevie Wonder"	0.0419661
"Princess Mononoke"	0.0417105
"Edward R. Murrow"	0.0413408
Marley	0.0411541
"Eric Clapton"	0.0408715
"Dave Matthews"	0.0406841
"Frank Sinatra"	0.0406434
"Willie Nelson"	0.040204
three-minute	0.0400775
))
("Black Sea" (desc 11789) (sims
"Red Sea"	0.173862
"Caspian Sea"	0.172774
Mediterranean	0.168383
"Baltic Sea"	0.166007
Aegean	0.139707
"Persian Gulf"	0.136066
Adriatic	0.135903
Baltic	0.125979
"Mediterranean Sea"	0.124498
"Indian Ocean"	0.120054
Caspian	0.117821
"Aegean Sea"	0.112817
"North Sea"	0.111626
"Lake Michigan"	0.111374
"Bohai Sea"	0.110241
"Bohai Bay"	0.105567
Gulf	0.102193
"Dead Sea"	0.101011
Caucasus	0.0988288
"Lake Ontario"	0.0984491
"South China Sea"	0.0939906
"Far Eastern"	0.0936632
"Lake Erie"	0.093066
pacific	0.0900066
Atlantic	0.0888691
"North Atlantic"	0.0888619
"Central Asia"	0.0888488
"Pacific Coast"	0.0883586
"Mekong River"	0.087916
"Lake Victoria"	0.0869084
"Far East"	0.0856068
"Arctic Circle"	0.0853256
"Beibu Gulf"	0.0847967
"Bay of Bengal"	0.0846302
"East China Sea"	0.0828135
"Sea of Japan"	0.0822788
Caribbean	0.0815651
"San Francisco Bay"	0.0812919
"South Atlantic"	0.0810475
"Arctic Ocean"	0.0808229
"Gulf of Mexico"	0.0787465
"Suez Canal"	0.0786365
"Pacific Ocean"	0.0782038
"Jordan River"	0.0771707
"Yellow Sea"	0.0768666
"Great Lakes"	0.0754367
"Congo River"	0.0753403
"Barents Sea"	0.0742292
"English Channel"	0.0733753
"Arabian Sea"	0.0732091
"Lake Tanganyika"	0.0728804
"Adriatic Sea"	0.0702375
"Gulf Coast"	0.0697867
Bosporus	0.0685945
Tigray	0.0684154
"Nile River"	0.0681594
"Long Island Sound"	0.068122
lake	0.0676536
"Puget Sound"	0.0669824
"Yangtze River"	0.0662298
"Silk Road"	0.0659401
Rhine	0.0657962
"Hudson River"	0.0648175
Danube	0.0642067
Arctic	0.0641327
Mullaitivu	0.0621411
"Atlantic Ocean"	0.0620706
"Big Sur"	0.0620552
"North Island"	0.0613596
Yangtze	0.0611305
"Huaihe River"	0.0602835
"Ohio River"	0.0598484
lagoon	0.0596314
"Potomac River"	0.0596052
"Mississippi River"	0.0590542
"Colorado River"	0.05888
"Chesapeake Bay"	0.0586242
"Baja California"	0.0585787
mainland	0.0577773
"Cape Cod"	0.0573107
"territorial water"	0.0571579
"Lake Tahoe"	0.0571269
ocean	0.0567754
Galilee	0.056717
"East Coast"	0.0566836
Puglia	0.056444
harbor	0.0564299
"Rocky Mountain"	0.0556037
Azerbaijan	0.0555725
Mtwara	0.0549487
Baku	0.0546429
"Yellow River"	0.0544799
Uvira	0.0544448
Mekong	0.054365
"Niger Delta"	0.054113
Luzon	0.0537686
Cyprus	0.053563
Jaffna	0.0533285
"Golden Triangle"	0.0532808
Siberia	0.0531671
basin	0.0529953
"Near East"	0.0529735
Sinai	0.0529117
Alaska	0.0528638
"Hainan Island"	0.0528086
"Danube River"	0.0527995
"Cape Fear"	0.0527488
peninsula	0.0526502
Brittany	0.0524451
Trincomalee	0.0521829
"Delaware River"	0.0520704
"Connecticut River"	0.0517069
Nile	0.0516247
Limassol	0.0514657
"Florida Panhandle"	0.0513391
"Nile Delta"	0.0510959
"Gaza Strip"	0.0507273
"Central Asian"	0.0501615
Turkmenistan	0.0501445
"Tarim Basin"	0.050107
"Pearl River Delta"	0.0494111
"Caribbean Sea"	0.0490563
Vavuniya	0.0489987
"Balkan country"	0.0487924
Everglades	0.0486597
"Rio Grande"	0.0485888
Euphrates	0.0481167
Alaskan	0.0480255
"East Asia"	0.0479376
"Panama Canal"	0.0477499
"Jaffna Peninsula"	0.0477406
Canal	0.0476732
Bund	0.0473241
panhandle	0.0471452
"Taihu Lake"	0.0470921
"Elephant Pass"	0.0470507
Kyushu	0.0468258
Murmansk	0.0467677
Gaza	0.0464418
Balkans	0.0461061
Aqaba	0.0460813
"Staten Island"	0.045813
bayou	0.0456994
"New York Harbor"	0.0456083
Kwazulu-Natal	0.0454045
"South Pacific"	0.0453086
"South America"	0.0451953
Himalayas	0.0449322
Bay	0.0445235
Queensland	0.0444721
"Victoria Harbor"	0.0444478
"Mekong Delta"	0.0443576
"Loess Plateau"	0.0442248
Galle	0.0441388
"South Texas"	0.0440427
"East Africa"	0.0439801
Zamboanga	0.0439318
"Pacific Rim"	0.0439278
"Western Europe"	0.0439189
strait	0.0439031
"Missouri River"	0.0438859
Putumayo	0.0437129
Sahara	0.0436961
"Arabian Peninsula"	0.0435689
Alps	0.043278
Tanga	0.0432251
delta	0.043005
Kigoma	0.0429947
Michoacan	0.0429758
"Great Plains"	0.0428566
Antarctica	0.0427469
Normandy	0.0426756
Bekaa	0.0426629
Izmit	0.0425867
Andes	0.0424115
"North Pole"	0.0423842
Bamiyan	0.0423606
archipelago	0.042035
Tigris	0.0418965
Ceyhan	0.0417742
Newfoundland	0.0417501
"Southeast Asia"	0.0417267
MAPUTO	0.0416555
Chittagong	0.0414396
Gulu	0.0414106
"Nova Scotia"	0.0412681
hinterland	0.0411833
Borneo	0.0411207
highland	0.0410309
Seine	0.0408387
Batticaloa	0.0407516
"North Caucasus"	0.040661
Mid-Atlantic	0.040635
isle	0.040583
Mississippi	0.0405766
Isthmus	0.0405224
reservoir	0.0404699
coastline	0.0404668
Vineyard	0.0404239
Kisumu	0.0404057
))
("Black Sea Fleet" (desc 4362.67) (sims
"Northern Fleet"	0.13505
Bakassi	0.122224
"Kuril Islands"	0.0935122
"Bakassi Peninsula"	0.0875958
Sevastopol	0.0763438
"Republican Guard"	0.0756183
"Mather Worldwide"	0.0680371
"Southern Command"	0.0666163
Jammu	0.0654233
Aegean	0.0642775
"Janata Dal"	0.0629818
"Uganda People's Defense Forces"	0.0626769
"Caspian Sea"	0.0600866
"sphere of influence"	0.0599421
dwt	0.0593726
Nagorno-Karabakh	0.0586491
"Western Sahara"	0.0582267
peninsula	0.0579039
"Agenda @@@@"	0.0575838
final-status	0.057251
demarcation	0.0567421
redeployment	0.0566649
islet	0.0561381
"Kraft Foods"	0.0560961
IPR	0.0559957
"Korean Peninsula"	0.0553589
Koreas	0.0552113
CHT	0.0549844
"Revolutionary Guards"	0.0548285
"Israeli Defense Forces"	0.0545807
delimitation	0.0540599
"Monsanto Co."	0.0532477
"Beibu Gulf"	0.0531757
"Golan Heights"	0.0520499
Czechoslovakia	0.0508778
"Federated Department Stores"	0.0506082
"ransom money"	0.0500826
"Legion of Honor"	0.049172
"Holy City"	0.0487822
endocrinology	0.0487666
Lukoil	0.0482807
IRGC	0.0471869
"continental shelf"	0.0470083
"Northern Territory"	0.0468306
"Ministry of Trade and Industry"	0.0466413
"Indonesian Armed Forces"	0.0464403
"United Nations Interim Force in Lebanon"	0.0457963
"Red Army"	0.045652
"arms control"	0.0447749
"Koch Industries"	0.0443533
"Chittagong Hill Tracts"	0.0443029
spoils	0.0441128
"arms industry"	0.0439469
"U.S. Immigration and Naturalization Service"	0.0438854
"Royal Canadian Mounted Police"	0.0438295
"Packard Bell"	0.0436144
Mandalay	0.0433706
"Russian Navy"	0.0432907
"South Lebanese Army"	0.0432859
"Warner-Lambert Co."	0.0432845
"Church of Jesus Christ of Latter-day Saints"	0.04292
"Airborne Division"	0.0428391
non-Muslims	0.0427766
KGB	0.0424443
"Central Election Commission"	0.0421409
confidence-building	0.0419436
Caspian	0.0418724
Conrail	0.0418426
Healtheon/WebMD	0.0416692
Brcko	0.0416621
"British Empire"	0.0415988
"Supreme Soviet"	0.0415035
avoidance	0.0404883
"intellectual property rights"	0.040337
"Electoral Commission"	0.0401861
"U.N. Mission"	0.040108
Matadi	0.040033
))
("black sheep" (desc 1527.96) (sims
breadwinner	0.0868405
psychodrama	0.0861424
batboy	0.0835541
handicapper	0.0780748
"big leaguer"	0.0771477
happiest	0.0716719
"good person"	0.0696307
heretic	0.0684938
"important person"	0.0683623
paraplegic	0.0656678
Neville	0.0654908
"first pitcher"	0.0644546
techie	0.0614508
scion	0.0611468
goal-scorer	0.0609345
"charter member"	0.0604713
Bodine	0.0604423
"fall guy"	0.0602056
joker	0.0598394
fragmentation	0.0588821
prankster	0.0580436
"white person"	0.057851
has-been	0.0569335
bloomer	0.0560038
junkie	0.0559404
"risk taker"	0.0555924
sadist	0.0552729
"hot potato"	0.0550427
Houdini	0.0548856
crosscurrent	0.0542489
pariah	0.0535947
choirboy	0.0533159
"Yitzhak Mordechai"	0.0531818
McPherson	0.0528646
drug-free	0.052721
nonentity	0.0526427
Wayans	0.0524718
Hendricks	0.0518442
Coen	0.051497
"safe harbor"	0.0513808
Kurd	0.0510328
"NBA All-Star"	0.0499437
"draft dodger"	0.0498933
chameleon	0.0494713
"rich man"	0.0491695
"traveling salesman"	0.0491327
workhorse	0.0490862
"chess player"	0.0489735
"punching bag"	0.0488567
"coat of arms"	0.0486492
patrolman	0.0485708
pro-choice	0.0485534
"hard worker"	0.0484657
"fourth generation"	0.0483895
wimp	0.0480794
iconoclast	0.0478823
outta	0.0478567
"professional golfer"	0.0473195
"black person"	0.0472636
"elder statesman"	0.0471252
second-longest	0.0469902
lashing	0.046897
genealogy	0.0468568
"mentally retarded"	0.0465752
rector	0.046489
pressman	0.0463772
"trump card"	0.0463447
nigger	0.0462981
hyper	0.0462078
recluse	0.0461712
pallbearer	0.0460293
moron	0.0460193
double-teamed	0.0459002
newspaperman	0.0458705
"world traveler"	0.0457513
"whipping boy"	0.0456848
Osmond	0.0455364
balancing	0.0454848
picky	0.0451916
amulet	0.0451119
cohesiveness	0.0450272
chaser	0.0450198
scum	0.0449386
"cause celebre"	0.0447388
Clare	0.0446729
stuntman	0.0446691
battler	0.0444422
maniac	0.0444126
"Bashkim Fino"	0.0439862
curmudgeon	0.0438981
virtuoso	0.0438902
prentice	0.0437959
punchline	0.0437679
realist	0.0436511
"altar boy"	0.0434991
Deacon	0.0434439
"guessing game"	0.0433368
torchbearer	0.0432911
troublemaker	0.0431227
"Transparency International"	0.0429586
"chairman emeritus"	0.0428314
"religious order"	0.0427009
"Igor Sergeyev"	0.0426875
"split up"	0.0426438
dilettante	0.0425724
retainer	0.0425401
transnationals	0.0423118
slob	0.0421187
bodybuilder	0.0420784
pacifist	0.0420058
idiot	0.0418613
fiefdom	0.0417524
first-rounder	0.041662
connoisseur	0.0416411
oxymoron	0.0415076
prognosticator	0.0414907
jokester	0.0414719
"top dog"	0.0414652
privy	0.0414113
doer	0.0413985
animator	0.0413647
psychopath	0.0413469
portraitist	0.041282
wonk	0.041175
"center of attention"	0.0409345
brat	0.0408541
"about two percent"	0.0406627
Wyly	0.0406217
fakery	0.0405602
Scrooge	0.0404234
lackey	0.0403979
gadfly	0.0403429
desperado	0.0402604
agnostic	0.0402376
personage	0.0402228
whore	0.0402104
))
("black tea" (desc 1862.34) (sims
"cashew nut"	0.191968
"palm oil"	0.13279
"pig iron"	0.1247
"green tea"	0.124146
"citric acid"	0.120123
"food grain"	0.117109
tea	0.110198
jute	0.10763
ethylene	0.100676
"coffee bean"	0.0987702
"frozen food"	0.0981259
"cane sugar"	0.0957204
cocoa	0.0949265
newsprint	0.0924158
"rare earth"	0.0910758
sisal	0.0899037
espresso	0.0897936
"fish meal"	0.0890219
"hot chocolate"	0.0884366
sugarcane	0.0880709
oilseed	0.0839532
cola	0.0821599
lysine	0.0812199
"steel plate"	0.0809755
"frozen foods"	0.0807895
"animal product"	0.080587
"synthetic fiber"	0.0795321
LNG	0.0790857
methanol	0.0789706
lemonade	0.0784107
"citrus fruit"	0.0778512
"red wine"	0.0774486
"apple juice"	0.0773707
"consumer goods"	0.0758369
phosphate	0.0756604
"household appliance"	0.0744754
knitwear	0.0744548
"dried fruit"	0.07404
"alcoholic beverage"	0.0738617
aquatics	0.0732817
"mineral water"	0.0724703
coconut	0.0723925
soybean	0.0720165
cashew	0.0717984
non-oil	0.0713009
"yellow light"	0.0707634
foodstuff	0.0702208
"coconut oil"	0.0691254
"soybean oil"	0.0690899
"soya bean"	0.0690065
"food product"	0.0689512
hGH	0.0682783
"cranberry juice"	0.0681589
cobalt	0.0680764
cappuccino	0.0675713
"home appliance"	0.0669639
"orange juice"	0.0668852
poultry	0.0665646
beverage	0.0661109
mutton	0.0656736
"sugar cane"	0.0648384
CPO	0.0644335
"Lincoln Center Theater"	0.0642975
prawn	0.0642717
"dairy product"	0.0638748
cereal	0.0638203
maize	0.0638202
whisky	0.0637926
"Mountain Dew"	0.0635611
"canned food"	0.0631687
"pie shell"	0.0627863
"four million tons"	0.0623165
air-conditioner	0.0619489
cacao	0.0611222
rapeseed	0.0604503
barley	0.0601159
eel	0.0597739
"laundry detergent"	0.0597649
"iced tea"	0.059675
polypropylene	0.0590632
vodka	0.0590345
"iron ore"	0.0588828
"California wine"	0.058692
petrochemical	0.0586809
"soft drink"	0.0585943
VCD	0.0584981
pistachio	0.058205
"hot sauce"	0.0580111
"memory chip"	0.0577506
apparel	0.0576071
telomerase	0.0575824
ginseng	0.0572743
"maple syrup"	0.0566399
tritium	0.0564903
condensate	0.0563115
lubricant	0.0562589
liquor	0.0558698
Cognac	0.0554329
seafood	0.0546341
"plate glass"	0.0546061
rum	0.0544875
tequila	0.0544014
polyethylene	0.0543185
"building material"	0.0537334
"vegetable oil"	0.0537032
"powdered milk"	0.0527845
palladium	0.0525432
urea	0.0522244
"fruit salad"	0.051931
blueberry	0.051746
"ice water"	0.0517093
lint	0.0513129
manganese	0.0512245
"cup of tea"	0.0512219
"Ginkgo biloba"	0.0511505
"white wine"	0.0511046
citrus	0.0509944
biogas	0.0504256
Tyre	0.0498107
"over @@ million tons"	0.0497325
soda	0.0493554
"Bordeaux wine"	0.0490832
ethanol	0.0487999
"machine tool"	0.0487802
pulp	0.0487373
"caustic soda"	0.0484293
"Wild Party"	0.0483987
"five million tons"	0.0483038
yarn	0.0480806
brandy	0.0479564
opium	0.0477363
"milk powder"	0.0476374
gin	0.0476252
"sparkling wine"	0.0476032
"Tony Dungy"	0.0475517
"precious stone"	0.047528
"passenger car"	0.0474762
"compact car"	0.0474688
amphetamine	0.0474226
cannabis	0.0472958
dairy	0.0472405
"three million tons"	0.0472226
Mulberry	0.0470797
"Gilbert and Sullivan"	0.0469168
handicraft	0.046716
cushioning	0.0466649
clove	0.0466445
"color television"	0.0464094
Gypsum	0.0460589
"Beauty Queen"	0.0457826
"tax income"	0.0455826
compressor	0.045565
dram	0.0454848
vanilla	0.0454836
fibre	0.0454078
Plywood	0.0453064
CFCs	0.0452045
"grapefruit juice"	0.0451647
cassava	0.0451612
kava	0.0447931
"fruit juice"	0.0447256
aluminium	0.0447211
"chemical agent"	0.0444521
cashmere	0.0440659
"hot pants"	0.0438713
detergent	0.0438643
tapioca	0.0437752
switchboard	0.0437389
"Dom Perignon"	0.0437264
PVC	0.0436376
pear	0.0435915
"six million tons"	0.0435897
oases	0.0433407
"fresh fish"	0.0432315
beet	0.0431432
"animal husbandry"	0.0429129
"oil palm"	0.0428545
ammonia	0.0427077
biomass	0.0423329
talc	0.0422369
ginkgo	0.0420541
TCM	0.0419471
"spaghetti sauce"	0.0414841
soya	0.0412918
"washing machine"	0.0412125
jewellery	0.04116
buttermilk	0.0411067
groundnut	0.0410869
Seawater	0.0410412
"fish fillet"	0.0407844
"consumer durables"	0.040722
"salad dressing"	0.0406563
"more than @@ million tons"	0.0405703
toothpaste	0.0404968
sport-utility	0.0404717
"pet food"	0.0404273
"cooking oil"	0.0402914
paddy	0.0402545
Zinc	0.0401364
))
("black tie" (desc 3379.27) (sims
tuxedo	0.149806
"dress shirt"	0.135215
"sports jacket"	0.132152
coming-out	0.130191
"cowboy boot"	0.126838
"straw hat"	0.121151
"blue jean"	0.117464
waistcoat	0.117049
"cowboy hat"	0.116027
loincloth	0.114485
"top hat"	0.109955
suspender	0.109007
"bow tie"	0.108173
"business suit"	0.1076
ascot	0.106675
"leather jacket"	0.105437
loafer	0.104837
turtleneck	0.0969293
khaki	0.0966858
"bowler hat"	0.0963439
"dark glasses"	0.0933076
bluejeans	0.092699
glitzy	0.0924421
"fur coat"	0.0916685
raincoat	0.0916584
slack	0.0916538
"rubber boot"	0.0911416
capris	0.0902061
"hard hat"	0.0896216
trouser	0.0875962
fedora	0.0874509
potluck	0.0873855
vest	0.0868966
finery	0.0863704
brassiere	0.0858409
"name tag"	0.0856941
"Costume Institute"	0.0852468
bandana	0.0851514
"military uniform"	0.0835619
necktie	0.0831129
tux	0.0827591
beret	0.0824947
"baseball cap"	0.0824017
tunic	0.0817658
overcoat	0.0813352
sweater	0.0811884
blazer	0.0809316
blouse	0.0802182
windbreaker	0.0790023
"stiletto heel"	0.0790008
camouflage	0.0789154
"sweat pants"	0.0788418
jean	0.078626
sweatshirt	0.0774751
"evening gown"	0.0771799
"life vest"	0.0764297
Sari	0.0755173
Chino	0.0748396
"ski mask"	0.0742088
"standing room"	0.0737723
"tennis shoe"	0.0734236
"feather boa"	0.0732803
"St. Patrick's Day"	0.0731589
yarmulke	0.0728486
sunglasses	0.0725346
sneaker	0.071582
regalia	0.0711764
kilt	0.0704152
garb	0.0703249
knickers	0.0703165
"evening dress"	0.0685547
gown	0.0680235
turban	0.067664
"ball gown"	0.0674955
"life jacket"	0.0671615
headdress	0.0666891
jumpsuit	0.0666679
tights	0.0663057
"street clothes"	0.0660536
bellbottoms	0.0653733
"belt buckle"	0.0645397
wig	0.0644138
slicker	0.0641232
"cocktail dress"	0.0639272
scarf	0.0637181
"Mardi Gras"	0.0636858
attire	0.063355
"polo shirt"	0.062328
armband	0.0620405
"trench coat"	0.0618978
headband	0.0617212
send-off	0.0615368
robe	0.0609259
"sport shirt"	0.0604764
"wedding dress"	0.0600709
swimsuit	0.0594461
pullover	0.0591417
"East Room"	0.0591225
apron	0.0587427
pinstripes	0.0586247
sportswear	0.0585852
corset	0.0585018
dreadlocks	0.0577878
blinder	0.0576713
"roller skate"	0.0575992
leotards	0.0575405
RNC	0.0574387
blackface	0.0574078
Oktoberfest	0.0572354
"Grand National"	0.0572314
pajama	0.0570016
"Grammy Awards"	0.0567737
skullcap	0.0566546
Pantsuits	0.0564842
"running shoe"	0.056453
mustache	0.055905
sandal	0.0557609
"wedding gown"	0.0556843
underwear	0.0556481
halter	0.0555833
eyeglass	0.0555581
toupee	0.0552193
"pants suit"	0.0547834
sit-down	0.0547375
denim	0.0545975
Cape	0.0541945
"Veterans Day"	0.0536695
"May Day"	0.0535672
plainclothes	0.0532738
cardigan	0.0532441
coverall	0.0528976
debutante	0.0525264
parka	0.0521467
tiara	0.0520828
"felt hat"	0.0513233
spandex	0.0512672
kimono	0.0509504
sarong	0.0509204
enshrinement	0.0505882
undershirt	0.0504642
hairpiece	0.0501582
"Chinese New Year"	0.0500724
docker	0.049885
STETSON	0.0498332
"Fleet Center"	0.0491181
"Fourth of July"	0.0491043
"open air"	0.0488265
poolside	0.0487774
"nose ring"	0.0484967
"World Environment Day"	0.0482871
"boxing glove"	0.0482823
blinker	0.0480105
bra	0.0479721
miniskirt	0.0479497
"prayer shawl"	0.047927
bikini	0.0477341
neckline	0.0476621
goggles	0.0474436
"black and white"	0.0474375
"dress uniform"	0.0473777
seven-hour	0.0471924
telethon	0.0469274
Tutu	0.0465967
BOA	0.0465429
four-hour	0.0464141
bathrobe	0.0463895
House-Senate	0.0460641
nightgown	0.046056
hairdo	0.0458977
"bulletproof vest"	0.0458258
homecoming	0.0457761
"Playboy Mansion"	0.0457642
bodysuit	0.0457589
"Democratic National Committee"	0.0457338
pigtail	0.0457172
"face mask"	0.0455986
"Special Olympics"	0.0455538
haircut	0.0454284
slipper	0.0452104
"Earth Day"	0.0450506
"stroke play"	0.0449686
handkerchief	0.0448294
DNC	0.0447004
"navy blue"	0.0439778
"National Day"	0.0438406
two-hour	0.0436673
"flag waving"	0.0435296
chap	0.043454
Fez	0.0430081
over-@@	0.0430058
shorts	0.0429939
shawl	0.0428998
caftan	0.0427684
smock	0.0425392
"Chart Pattana"	0.0424354
bandanna	0.042234
"oxygen mask"	0.0421903
pants	0.0421042
spacesuit	0.0418514
stiletto	0.0417374
))
("black woman" (desc 18217.2) (sims
"white woman"	0.191531
"black man"	0.152042
"white man"	0.141844
African-American	0.126329
woman	0.125151
Hispanic	0.111243
"young woman"	0.109419
female	0.109043
black	0.104279
male	0.0996491
teen-ager	0.0989857
"black person"	0.0978739
girl	0.0960697
Latino	0.09279
teenager	0.0899617
"married woman"	0.0879181
"young man"	0.0852574
smoker	0.0845744
"young girl"	0.0823924
Texan	0.0801875
teens	0.0796795
Californian	0.0793214
diabetic	0.0789112
"African Americans"	0.0785358
"people of color"	0.0778118
"little girl"	0.077597
"married man"	0.0774069
Asian-Americans	0.0773447
"African American"	0.0770983
"college student"	0.0761266
adult	0.0754262
infant	0.0748291
housewife	0.0746955
Haitian	0.0721166
inmate	0.0714117
lesbian	0.0711887
adolescent	0.0710952
prostitute	0.070846
person	0.070745
Asian-American	0.0705752
minority	0.0696585
boy	0.0692663
divorcee	0.0691916
Mexican	0.0680262
"married couple"	0.0672239
actress	0.0667742
Parisian	0.0663178
Southerner	0.065935
schoolteacher	0.0655879
immigrant	0.0652046
"young lady"	0.0651515
"medical student"	0.0650757
"over @@"	0.0650032
respondent	0.0649128
Jew	0.0649028
Briton	0.0648252
orphan	0.0647424
newborns	0.0646968
youngster	0.0640726
slave	0.0640288
blonde	0.0639429
"little boy"	0.0636655
recipient	0.0635835
"American Indian"	0.0634011
patient	0.0631917
Englishman	0.0630445
teacher	0.0628572
"major leaguer"	0.0625823
"blind man"	0.0624073
"old woman"	0.0619698
Filipino	0.0618484
musician	0.0616943
"university student"	0.0615195
drinker	0.0615076
youth	0.0614863
Georgian	0.0612859
widow	0.0609676
"AIDS patient"	0.0602195
"young person"	0.0602049
gentleman	0.0601633
doctor	0.0601219
examinees	0.060038
Londoner	0.059946
pupil	0.0599452
African	0.0598574
individual	0.0597365
dancer	0.0596295
"church member"	0.0595505
Floridian	0.0595182
"senior citizen"	0.0594842
priest	0.0594696
applicant	0.0591724
stepdaughter	0.0590152
businessman	0.0589863
nurse	0.058976
athlete	0.0589487
"Puerto Rican"	0.0588522
Indian	0.0587639
Venezuelan	0.058688
baby	0.0585857
Caucasian	0.0585513
contestant	0.0584351
heterosexual	0.0584261
"foster child"	0.0583734
monk	0.0582082
"white person"	0.058162
Gay	0.057999
"basketball player"	0.0579086
Australian	0.0576547
transient	0.0575566
Salvadoran	0.057556
"Asian Americans"	0.0575219
"altar boy"	0.0573839
"New Englander"	0.057364
freshmen	0.0573403
Kenyan	0.0572952
Virgin	0.0572819
"law student"	0.0572498
Nigerian	0.0571223
"robbery suspect"	0.057119
serviceman	0.0570471
artist	0.0570028
golfer	0.0569442
Cuban	0.0568128
survivor	0.056766
seamstress	0.0567565
schoolgirl	0.0567489
cleric	0.0567451
sister	0.0567419
journalist	0.0566894
Aborigine	0.0566877
Canadian	0.0566853
"state senator"	0.0566545
senior	0.0565989
Congressman	0.0565877
"African elephant"	0.0565821
"New Yorker"	0.0565134
aged	0.0564901
policewoman	0.0563021
"South African"	0.0562908
nun	0.0561748
eighth-graders	0.0561745
Asian	0.0561474
"police officer"	0.0561293
mom	0.056052
Sacagawea	0.055806
classmate	0.0557874
cadet	0.0557337
homosexual	0.0556666
waitress	0.0556138
voter	0.0555278
Brazilian	0.0554576
citizen	0.0553984
"registered nurse"	0.0553231
businesswoman	0.0553112
niece	0.055281
missionary	0.0551201
poet	0.0551151
Dominican	0.0551092
occupant	0.0550919
Nepalese	0.0550575
Frenchman	0.0549674
Koreans	0.0549626
"naval officer"	0.0549304
Panamanian	0.0548887
girlfriend	0.0548704
"football player"	0.0548656
"Asian American"	0.0548554
foreigner	0.05485
Spaniard	0.0547984
"school girl"	0.0547914
Guatemalan	0.0547004
Atlantans	0.0546958
granddaughter	0.0546951
appointee	0.0544517
"prison guard"	0.0544496
teen	0.0543884
Catholic	0.0543811
sailor	0.0543393
"second person"	0.0543249
outsider	0.0543158
physician	0.0542346
christian	0.0542189
plaintiff	0.0541554
Colombian	0.0539633
Algerian	0.0539624
retiree	0.0538729
"flight attendant"	0.0538299
senator	0.0538188
"New Zealander"	0.0537791
peasant	0.0537052
rabbi	0.0534103
entrepreneur	0.0533895
"drug user"	0.0533663
actor	0.053224
stranger	0.0532039
"school principal"	0.053188
addict	0.0531672
Olympian	0.0531211
"base runner"	0.0531091
))
(black-and-white (desc 4543.49) (sims
"black and white"	0.181692
"navy blue"	0.0818141
"dark blue"	0.0656773
closeup	0.0646207
"slow motion"	0.0631225
"polka dot"	0.0599026
brocade	0.0584292
"powder blue"	0.0554208
typeface	0.0549923
"home movie"	0.054262
plaid	0.0540532
"Company of Men"	0.0531602
"good story"	0.0505622
"B&AMP;W"	0.0478069
Technicolor	0.047665
Chanel	0.046787
pictorial	0.046664
organza	0.0461686
polyester	0.044404
newsreel	0.0430642
"historical document"	0.0428478
ninja	0.0425099
scuba	0.0421082
"film clip"	0.0419186
Polaroid	0.0418682
"mug shot"	0.0410517
"olive green"	0.0410401
aqua	0.0404991
cowgirl	0.04047
"tin can"	0.0404694
tweed	0.0403181
))
("black-eyed pea" (desc 2682.75) (sims
"white bean"	0.192829
Kale	0.177569
"green bean"	0.174959
pea	0.163755
"sweet potato"	0.161078
cornbread	0.154598
"pinto bean"	0.149004
Chickpea	0.147522
okra	0.134501
Broccoli	0.133912
lentil	0.129785
turnip	0.123562
bean	0.122842
tomatillo	0.122735
"black bean"	0.121618
"collard greens"	0.118749
celery	0.115595
carrot	0.115139
"tuna fish"	0.114198
tomato	0.11069
"macaroni and cheese"	0.10887
cassava	0.10886
plantain	0.108183
cabbage	0.108069
cucumber	0.106447
potato	0.106172
yam	0.103345
"lima bean"	0.10299
"winter squash"	0.102136
porridge	0.101032
corn	0.0992943
"brussels sprout"	0.0979081
"wild rice"	0.0975312
gumbo	0.0972826
Collard	0.0966721
"chicken broth"	0.09562
"brown rice"	0.0936829
coleslaw	0.0936558
"corned beef"	0.093551
"potato salad"	0.0926279
spinach	0.0911911
cantaloupe	0.0899979
ham	0.089868
eggplant	0.0898411
artichoke	0.0883149
"tomato paste"	0.0882285
lettuce	0.0878234
pilaf	0.0874111
rutabaga	0.0870599
beet	0.0869443
zucchini	0.0865803
"snow pea"	0.0853901
squash	0.0843849
Chili	0.0841813
"goat cheese"	0.0838696
radish	0.0830921
barley	0.0825989
"red onion"	0.0823499
onion	0.0813697
gruel	0.0809806
"roast beef"	0.0804025
pasta	0.080011
spaghetti	0.07982
melon	0.0795949
asparagus	0.0793165
fennel	0.0788835
peanut	0.0788157
gravy	0.0786851
legume	0.0778521
sauerkraut	0.0775291
anchovy	0.0774251
tuna	0.077089
tortellini	0.0760224
leek	0.0759793
pumpkin	0.0758792
avocado	0.0752084
noodle	0.0751795
stew	0.0746822
dumpling	0.0746578
meatloaf	0.0743207
papaya	0.074254
"green salad"	0.0742532
cauliflower	0.0735689
pork	0.0734363
romaine	0.0722493
chorizo	0.071587
"french fries"	0.0715374
calamari	0.0713836
Lasagna	0.0713304
arugula	0.0711141
"cooking oil"	0.0708122
sausage	0.0705999
watermelon	0.0704518
pineapple	0.0702719
"red pepper"	0.069305
millet	0.0680797
parsnip	0.0680167
blueberry	0.0679818
cranberry	0.0678648
pear	0.0677655
tofu	0.0677116
fig	0.0675642
"bok choy"	0.0674464
bulgur	0.0674088
"white rice"	0.0671514
biscuit	0.0666904
"green pepper"	0.0665898
macaroni	0.0664563
frisee	0.0664169
Endive	0.0662908
"soya bean"	0.0660446
pickle	0.0646299
tapioca	0.0640786
"sweet corn"	0.0636187
raisin	0.0633504
RHUBARB	0.0631783
"Chinese cabbage"	0.0631152
Garlic	0.0628144
"passion fruit"	0.0619422
seafood	0.0618653
"green onion"	0.0617685
"sea bass"	0.061117
"root vegetable"	0.0610289
"meat loaf"	0.0609452
"bell pepper"	0.0607306
"coconut milk"	0.0606857
Catfish	0.0605306
"beef broth"	0.0602178
jalapeno	0.0602038
"sugar cane"	0.0599355
peach	0.0598391
"fava bean"	0.059817
"chicken breast"	0.0591494
pesto	0.0590442
Pudding	0.058917
"string bean"	0.0587524
mesclun	0.0587329
fajitas	0.0583362
yogurt	0.0580061
olive	0.0578727
soybean	0.0577153
polenta	0.057483
"French toast"	0.0574014
veggie	0.0572179
"pecan pie"	0.0569565
sorghum	0.0567646
"sweet pea"	0.056709
tortilla	0.0566883
Jell-O	0.0566677
chard	0.0566471
"canned goods"	0.0565574
mayonnaise	0.0564308
quail	0.0564252
penne	0.0562499
dandelion	0.0557546
gingerbread	0.0557129
"tomato sauce"	0.0555337
oatmeal	0.0551905
clam	0.0548179
mozzarella	0.0547568
ginger	0.0538431
broth	0.053652
parsley	0.0534467
salsa	0.0534372
kernel	0.0532098
"bay leaf"	0.0526968
cashew	0.052381
Tamale	0.0522546
apricot	0.0519809
Basil	0.0519289
walnut	0.0519095
burgers	0.0518149
Hamburger	0.0516177
"chocolate mousse"	0.0510763
"grated cheese"	0.0510022
spam	0.0510013
cutlet	0.0509774
"garlic clove"	0.0509574
oat	0.0509143
"pumpkin pie"	0.0507791
pancake	0.0506688
squid	0.0505937
sardine	0.050588
"short ribs"	0.0505642
quiche	0.0503544
pecan	0.0502375
slaw	0.0498372
puree	0.049811
"Swiss chard"	0.0497778
sugarcane	0.0493506
"filet mignon"	0.0493383
risotto	0.0492705
taco	0.0489846
"blue cheese"	0.04872
pomegranate	0.0487145
"vegetable soup"	0.0486554
oregano	0.0486552
scallop	0.0485847
"ground beef"	0.04856
mango	0.0483768
))
("black-eyed Susan" (desc 1795.62) (sims
"day lily"	0.166431
dahlia	0.138496
"Kentucky Oaks"	0.136494
hibiscus	0.12356
"claiming race"	0.0991758
petunia	0.0972477
"Dubai World Cup"	0.094533
goldenrod	0.0928428
aster	0.0917901
hydrangea	0.0830412
zinnia	0.0820397
"Jim Dandy"	0.0811369
snapdragon	0.0805073
Travers	0.0780462
"Blue Grass"	0.0764618
"Florida Derby"	0.0757411
jasmine	0.0739856
pansy	0.0733512
"Cup Juvenile"	0.0724944
Dwyer	0.0717588
"London Marathon"	0.0698097
carnation	0.0695934
sunflower	0.0686382
"Santa Anita Handicap"	0.0671787
Oaks	0.0670478
"Pacific Classic"	0.065228
violet	0.0639706
"Louisiana Derby"	0.0638517
"Juvenile Fillies"	0.063085
"Home Run Derby"	0.062455
chrysanthemum	0.0623098
"Santa Anita Derby"	0.0618607
"Belmont Stakes"	0.0613366
clematis	0.0612923
marigold	0.0606967
"Cup Classic"	0.0599421
"Arkansas Derby"	0.0586496
daffodil	0.0580999
bougainvillea	0.0574423
azalea	0.0532622
"Jockey Club Gold Cup"	0.0516922
"U.S. Senior Open"	0.0513225
lilac	0.0510854
"morning glory"	0.0505173
flax	0.0498233
"New York City Marathon"	0.0497983
peony	0.0490201
Wisteria	0.0488047
nightcap	0.0485146
"National Invitation Tournament"	0.047753
"Gold Cup"	0.0475637
orchid	0.0465141
impatiens	0.0461452
rhododendron	0.0459645
"Nissan Open"	0.0451821
wildflower	0.0449095
Lantana	0.0439554
sedum	0.0432678
oleander	0.0431866
ginkgo	0.0417481
"NAPA @@@"	0.04101
"Wood Memorial"	0.0408853
"sweet pea"	0.0408391
Iris	0.040746
chaparral	0.0406756
"San Rafael"	0.0402439
))
(blackberry (desc 6670.48) (sims
raspberry	0.30745
apricot	0.250513
blueberry	0.244209
peach	0.207601
RHUBARB	0.194085
nectarine	0.18059
plum	0.17592
strawberry	0.17265
fig	0.166048
mango	0.165779
cranberry	0.165228
Cherry	0.161493
pineapple	0.161198
melon	0.15512
tangerine	0.143694
berry	0.143143
pear	0.142458
Quince	0.12586
lemon	0.12329
coconut	0.123237
grape	0.12099
"cider vinegar"	0.119157
"whipping cream"	0.115697
watermelon	0.115586
pecan	0.112919
tomato	0.111993
buttermilk	0.111452
almond	0.111176
persimmon	0.107225
cantaloupe	0.106322
"pineapple juice"	0.106284
apple	0.105891
raisin	0.105418
half-and-half	0.104806
pumpkin	0.104469
licorice	0.104315
currant	0.104085
"Grand Marnier"	0.102493
"passion fruit"	0.102146
vanilla	0.098814
ricotta	0.0982575
cider	0.0981735
"chicken stock"	0.0976505
"whipped cream"	0.0962041
banana	0.0941507
mint	0.0936588
fruit	0.0921715
"chicken broth"	0.09216
anise	0.0917683
"peanut butter"	0.0906148
walnut	0.090082
"orange marmalade"	0.089717
"cherry tomato"	0.0887754
"beef broth"	0.0878281
yogurt	0.0872683
pea	0.0868318
grapefruit	0.0866999
"green bean"	0.0862895
"sour cream"	0.0858864
pomegranate	0.0856584
"heavy cream"	0.0854989
"vanilla ice cream"	0.0848874
"evaporated milk"	0.0845524
avocado	0.0839895
onion	0.0835978
"root beer"	0.0835203
hazelnut	0.0833719
vinegar	0.0826198
spinach	0.0819507
"sweet potato"	0.0818228
lime	0.0817262
"coconut milk"	0.0808487
cream	0.0808044
"chocolate mousse"	0.0804374
ginger	0.0802601
"lemon juice"	0.080123
"cottage cheese"	0.0797393
chocolate	0.0788468
kumquat	0.0785547
"beef stock"	0.0785196
"peanut oil"	0.0779022
molasses	0.0775563
Broccoli	0.0773647
fudge	0.0769463
"macadamia nut"	0.0768963
cabbage	0.0760133
kernel	0.0755555
Basil	0.0755528
Orange	0.0755135
polenta	0.0752447
"brown sugar"	0.07511
kiwi	0.0748266
lettuce	0.0744511
mushroom	0.0744205
Garlic	0.0740756
florets	0.0740169
cucumber	0.0732906
prune	0.0727581
potato	0.0716951
"white rice"	0.0716615
zucchini	0.0715796
"winter squash"	0.0707381
"tomato sauce"	0.0706889
olive	0.0706508
papaya	0.0705763
celery	0.0700732
herb	0.0696691
cinnamon	0.069356
Or	0.069203
Maple	0.0691947
chevre	0.0691163
lemonade	0.0689976
cilantro	0.0688316
"apple juice"	0.0686565
mayonnaise	0.0685515
azalea	0.0684707
"corn syrup"	0.0676526
breadcrumb	0.0671789
sherry	0.0671252
hydrangea	0.0670839
carrot	0.0670764
juice	0.0670346
scallion	0.0670045
oatmeal	0.0667216
"red wine"	0.0659839
"sweet corn"	0.0657026
pistachio	0.0655891
applesauce	0.0654334
"hoisin sauce"	0.0654056
mustard	0.0653837
"red pepper"	0.0645651
"lime juice"	0.0643967
"goat cheese"	0.064109
"pumpkin seed"	0.0640989
"Vidalia onion"	0.0639253
bean	0.0639149
pepper	0.0638597
marshmallow	0.0637403
rosemary	0.0636473
ketchup	0.0634601
sauerkraut	0.0632823
custard	0.0631416
honey	0.0630981
cashew	0.0625425
"bean sprout"	0.0624323
citrus	0.0623797
cauliflower	0.0622573
jalapeno	0.0620887
"tomato juice"	0.0616556
shortcake	0.0616354
preserves	0.0613944
sugar	0.0612408
"dried fruit"	0.0610832
"plum tomato"	0.0610586
granola	0.0609584
puree	0.0609488
vegetable	0.0609079
spice	0.0607696
"fava bean"	0.0606942
"maple syrup"	0.0606492
crumb	0.0606173
asparagus	0.0604149
"black bean"	0.0602872
arugula	0.0601935
"orange juice"	0.0601723
"blue cheese"	0.0600972
truffle	0.0597951
leek	0.0596335
lavender	0.0593103
watercress	0.0579829
"brussels sprout"	0.0579412
cornmeal	0.0578783
syrup	0.0578191
thyme	0.0573473
"hot pepper"	0.0572843
pesto	0.0568803
panko	0.0568211
fennel	0.0566749
"skim milk"	0.0565317
artichoke	0.0563483
eggplant	0.0561417
"pine nut"	0.0559736
"white wine"	0.0559658
parsley	0.0559053
butter	0.0554926
"milk chocolate"	0.0554826
peppermint	0.0554215
"ice cream"	0.0548085
"olive oil"	0.0547249
hickory	0.0547033
"black pepper"	0.0546472
lentil	0.0546109
tofu	0.0544426
"chili sauce"	0.0541938
pine	0.0539983
sauce	0.0539415
nut	0.0537452
macaroni	0.0535034
marjoram	0.0533529
"jelly bean"	0.0532989
))
(blackbird (desc 1358.67) (sims
warbler	0.0829301
"Amazing Grace"	0.0726661
Lullaby	0.0656834
imp	0.063833
clover	0.0618767
"mountain gorilla"	0.0602283
recitative	0.0588279
humpback	0.0586034
"fire ant"	0.057792
"golden eagle"	0.0574885
"commercial law"	0.0555627
Copt	0.0549003
Riverdance	0.0544971
cappella	0.0542812
ragweed	0.0539232
"Star-Spangled Banner"	0.0527167
Baba	0.0522074
moth	0.0516373
"black bear"	0.051529
"flowering plant"	0.0512048
fescue	0.0509212
Stardust	0.0504522
aphid	0.0501368
"Happy Birthday"	0.0500318
"Lord's Prayer"	0.0498415
"right whale"	0.0497964
cicada	0.0493878
lemur	0.047872
"Ford Expedition"	0.0478706
orangutan	0.047195
"white line"	0.0470689
nanotechnology	0.0470206
"sea breeze"	0.0469755
"a few lines"	0.0469114
beany	0.0467217
"coca crop"	0.0466685
"more than @.@ billion"	0.0464896
wildflower	0.0462614
"Coptic Christians"	0.0455367
Swango	0.0455163
Tristan	0.045202
Taxol	0.0450205
"Ken Cloude"	0.0449882
"monarch butterfly"	0.0446764
"Bengal tiger"	0.0446293
cantata	0.0443472
locust	0.0440399
critter	0.0435826
armoire	0.04349
parachutist	0.0433551
ditty	0.0433393
karaoke	0.0433147
Ferraris	0.0431068
skiff	0.0428051
Tae-woo	0.0427608
Ottey	0.0427363
"office block"	0.0424513
Merced	0.0424272
kudzu	0.0420504
Samson	0.0415476
"Geoff Sanderson"	0.0414941
acetone	0.0411583
Mockingbird	0.0405637
"racing car"	0.0404448
Pegasus	0.0403757
"sea bird"	0.0403507
Thunderbird	0.0402992
Schubert	0.0401491
"information gathering"	0.0400361
))
(blackboard (desc 4721.42) (sims
chalkboard	0.260141
"sheet of paper"	0.155595
"piece of paper"	0.112685
easel	0.0998264
bookshelf	0.0764951
"bulletin board"	0.0739174
"writing desk"	0.0711889
napkin	0.0699036
"file cabinet"	0.065975
stationery	0.0658275
billboard	0.0610228
bookcase	0.0596526
"computer screen"	0.0581579
"slip of paper"	0.0579845
"filing cabinet"	0.0568374
placard	0.0559794
typewriter	0.0552503
"newspaper ad"	0.0548331
cubby	0.0546684
"floppy disk"	0.0540268
"easy chair"	0.0539982
"video screen"	0.0526017
crayon	0.0513986
drawers	0.0510909
letterhead	0.0502126
"love seat"	0.0499658
sofa	0.049844
"endowment fund"	0.049452
marquee	0.0492528
"laptop computer"	0.0485533
cubicle	0.0482225
postcard	0.0481143
"Daily Racing Form"	0.0476388
tombstone	0.0475345
workbook	0.0463392
locker	0.0462858
"clean slate"	0.0461159
plaque	0.0461018
aquarium	0.0456184
"picture window"	0.0455044
parchment	0.0454009
"phone book"	0.0451619
"street sign"	0.0449838
eraser	0.0449748
lectern	0.0449515
urinal	0.0449005
stool	0.0446083
notebook	0.0443913
stopwatch	0.0442797
Ledger	0.0442758
"reading room"	0.0442394
storefront	0.0440323
kiosk	0.0439191
"trading post"	0.043791
workstation	0.0436982
syllabus	0.0436608
"piece of cloth"	0.0434426
tripod	0.0433282
desktops	0.0431024
tryst	0.042907
"nest egg"	0.0427418
"name tag"	0.0426285
"grocery bag"	0.042608
mantelpiece	0.0425116
scoreboard	0.0424279
"television set"	0.0424238
CD-R	0.0422878
banquette	0.0422379
"word processor"	0.0422274
armchair	0.0411196
intranets	0.041106
"coffee pot"	0.0404486
"slot machine"	0.0402858
ISO@@@@	0.0402533
"greeting card"	0.0401911
"folding chair"	0.040042
))
(Blackburn (desc 6296.92) (sims
Everton	0.22542
Tottenham	0.194503
"Nottingham Forest"	0.190984
Southampton	0.187644
Middlesbrough	0.179985
Leicester	0.17633
Liverpool	0.163861
Watford	0.161181
"West Ham"	0.157909
Charlton	0.153767
Coventry	0.152031
Newcastle	0.14971
Leeds	0.14723
Barnsley	0.141969
"Aston Villa"	0.141555
"Newcastle United"	0.133094
"Tottenham Hotspur"	0.131693
"Derby County"	0.130008
"Blackburn Rovers"	0.129398
"Manchester United"	0.117549
"West Ham United"	0.11534
"Leeds United"	0.115262
Sheffield	0.113626
Chelsea	0.110524
Sunderland	0.110341
Ipswich	0.109539
"AC Milan"	0.104998
"Olympique Marseille"	0.104557
Crewe	0.104369
Arsenal	0.0992009
Valencia	0.0989105
Benfica	0.0967924
Villareal	0.0967051
"Bayern Munich"	0.0958366
Venezia	0.0953856
Brondby	0.0944975
Bolton	0.0944616
"Coventry City"	0.0944596
"Atletico Madrid"	0.0943996
Alaves	0.0941799
Yorke	0.0936988
"Athletic Bilbao"	0.0931058
Bradford	0.0921043
Anderlecht	0.0912735
"Inter Milan"	0.0895521
Valladolid	0.0885752
Espanyol	0.0880838
Gremio	0.0877491
"PSV Eindhoven"	0.0875336
Independiente	0.0875281
"Robbie Fowler"	0.0874779
Extremadura	0.0872538
"Borussia Moenchengladbach"	0.087177
Ajax	0.0860911
"Leicester City"	0.08426
"Borussia Dortmund"	0.0837779
Tenerife	0.0836937
Juventus	0.0828411
Sampdoria	0.0828329
Salernitana	0.0827606
Fulham	0.0822794
Kaiserslautern	0.0809528
Fiorentina	0.0802109
Betis	0.0796273
Penarol	0.0794672
Internazionale	0.0792761
"Real Sociedad"	0.0790029
Udinese	0.078795
Metz	0.0787232
Huber	0.0786409
Salamanca	0.0772881
"Phenix City"	0.0756244
"Glasgow Rangers"	0.0754865
Lecce	0.0753073
"Dalian Wanda"	0.0743867
Bastia	0.0738911
"Real Madrid"	0.0738548
Heerenveen	0.0738327
Cruzeiro	0.0736825
"Steve McManaman"	0.0736026
Empoli	0.0732366
Schalke	0.072791
Celtic	0.0725903
Galatasaray	0.072571
LSU	0.0721121
Anfield	0.0715342
Feyenoord	0.0714441
"Kinder Bologna"	0.0714156
Barcelona	0.0712031
Bruguera	0.0711624
Portsmouth	0.0711369
Stoltenberg	0.0709525
Norwich	0.0702914
Necaxa	0.0698396
"Velez Sarsfield"	0.0697438
"Dynamo Kiev"	0.0693553
"Scott Draper"	0.0692689
Bari	0.0690472
Nantes	0.0689615
"Calgary Flames"	0.0688124
"Spartak Moscow"	0.0687091
Olympiakos	0.0686609
Kashima	0.0685488
"Chicago Blackhawks"	0.0685433
Korda	0.0685396
"Crystal Palace"	0.0684947
Vale	0.0683071
Palmeiras	0.0682302
"Ajax Amsterdam"	0.0672833
"San Lorenzo"	0.0670765
Parma	0.0668913
Shriver	0.0668232
Shenhua	0.0666897
Besiktas	0.0666832
Raoux	0.0666237
"Guillaume Raoux"	0.0661502
Piacenza	0.0661438
"Naoko Sawamatsu"	0.0660894
Birmingham	0.066088
"Boca Juniors"	0.0659904
Rosenborg	0.0659727
"Croatia Zagreb"	0.0655248
Torino	0.0653437
Spadea	0.065331
Freiburg	0.0652684
Wimbledon	0.0651874
Villa	0.0651372
"Bradford City"	0.0650246
Auxerre	0.0649891
Atalanta	0.0647748
"Australian Mark Philippoussis"	0.0643889
Vanderbilt	0.0638931
"Colorado Rockies"	0.0638879
Henman	0.0636151
"Paris St Germain"	0.0635297
"Milwaukee Brewers"	0.0634603
"Gianluca Pozzi"	0.0634585
"Shanghai Shenhua"	0.0632893
"Sebastien Grosjean"	0.0630548
"Elena Dementieva"	0.0627985
"devil ray"	0.0627681
Leverkusen	0.0626002
BUCCANEER	0.0624959
Phillies	0.0624541
"Washington Capitals"	0.0624466
Moya	0.062082
Manchester	0.0618555
Rostock	0.061768
"FC Porto"	0.0616972
"River Plate"	0.0615535
Perugia	0.0614894
"Hertha Berlin"	0.0613726
"Bayer Leverkusen"	0.0613618
Panathinaikos	0.0613289
"Joannette Kruger"	0.0613087
Sanchez-Vicario	0.0611883
"VfL Wolfsburg"	0.0610833
"VfB Stuttgart"	0.061046
Flamengo	0.061043
"Elena Likhovtseva"	0.060864
Obilic	0.0606816
"Tommy Haas"	0.0606137
"Kenneth Carlsen"	0.0605012
"Georgia Southern"	0.0603709
"Red Star"	0.0602138
"Guangzhou Apollo"	0.0599958
"Colo Colo"	0.0596986
rover	0.0595694
"Dallas Burn"	0.0595098
Nacional	0.0594527
Capriati	0.0594343
Baylor	0.0594304
"Houston Astros"	0.0594148
"Real Betis"	0.0594089
"Albert Costa"	0.0593295
Felton	0.0591825
"Idaho State"	0.0588159
Cleary	0.0588121
Krajicek	0.0587784
"Partizan Belgrade"	0.0587449
Carolina	0.0585782
"Adrian Voinea"	0.058515
Bologna	0.0584946
Inter	0.0584765
MetroStars	0.0582916
"Michael Owen"	0.0582874
"Dominique Van Roost"	0.0580743
"Kansas State"	0.0579959
"Philadelphia Flyers"	0.0579391
"Patty Schnyder"	0.057813
Pioline	0.0577803
Celta	0.0575489
"Sergi Bruguera"	0.0575363
"Pittsburgh Penguins"	0.0575273
corinthian	0.05746
Sugiyama	0.0573953
Monaco	0.0573868
"Renzo Furlan"	0.0572635
Fernandez	0.0571493
Blackhawks	0.0571234
))
("Blackburn Rovers" (desc 1823.96) (sims
"Coventry City"	0.360255
"West Ham United"	0.307598
"Leeds United"	0.305051
"Nottingham Forest"	0.305043
"Derby County"	0.294036
"Newcastle United"	0.293033
"Bradford City"	0.262646
"Leicester City"	0.260334
Southampton	0.245825
"Tottenham Hotspur"	0.242898
Watford	0.231484
Middlesbrough	0.213686
Everton	0.194641
Sunderland	0.194155
"Crystal Palace"	0.174997
"Aston Villa"	0.170461
Besiktas	0.156598
Charlton	0.156544
"West Ham"	0.149387
"Manchester United"	0.14833
"Athletic Bilbao"	0.145597
Liverpool	0.144677
Sheffield	0.143213
Villareal	0.142659
"Borussia Moenchengladbach"	0.140286
Fulham	0.139869
"VfB Stuttgart"	0.134247
Lecce	0.133399
"Chinese Army"	0.133228
Torino	0.132261
Blackburn	0.129398
Salernitana	0.128905
Espanyol	0.127288
"Real Betis"	0.125155
"Glasgow Rangers"	0.124103
"Olympique Marseille"	0.12356
Bastia	0.12203
Venezia	0.12137
"Schalke @@"	0.12123
Obilic	0.116945
Coventry	0.116649
Alaves	0.115914
Tottenham	0.115054
"VfL Wolfsburg"	0.113783
Chelsea	0.11308
"Real Sociedad"	0.112999
Nacional	0.111769
"Partizan Belgrade"	0.111495
Metz	0.108795
"Guangzhou Apollo"	0.107566
"Shanghai Shenhua"	0.107014
Newcastle	0.106265
"Velez Sarsfield"	0.106106
"Deportivo La Coruna"	0.105283
Barnsley	0.104491
"Kinder Bologna"	0.104334
"Red Star"	0.103654
Gremio	0.103424
"Boca Juniors"	0.102332
"Sichuan Quanxing"	0.101672
"Celta Vigo"	0.101411
Leeds	0.10026
Extremadura	0.100242
"PSV Eindhoven"	0.0997474
Cagliari	0.0996306
"English Premier League"	0.0995644
Auxerre	0.0992542
corinthian	0.0983844
"Hertha Berlin"	0.0982684
Brondby	0.0981295
Tenerife	0.0977187
Atalanta	0.0974702
"Dalian Wanda"	0.0973467
Leicester	0.0968235
"San Lorenzo"	0.0966554
Salamanca	0.0965662
Galatasaray	0.0964903
Piacenza	0.0961599
Panathinaikos	0.0960281
Fenerbahce	0.0939932
"Dynamo Kiev"	0.093716
Sevilla	0.0934585
Feyenoord	0.0927744
Independiente	0.0922307
Penarol	0.0921125
"FC Porto"	0.0917612
"Atletico Madrid"	0.0902119
Schalke	0.0891169
"AC Milan"	0.0883307
"Paris St Germain"	0.0875042
"River Plate"	0.087263
Shenhua	0.0870547
Benfica	0.0868962
Spartak	0.0858212
"Ajax Amsterdam"	0.0858065
"Croatia Zagreb"	0.0857823
Palmeiras	0.0846278
Celta	0.083947
"Olympiakos Piraeus"	0.0837863
"Spartak Moscow"	0.0836887
Cruzeiro	0.0829639
"Jinan Taishan"	0.08264
Anfield	0.0824657
Betis	0.0818495
Flamengo	0.0812889
Kaiserslautern	0.0812474
Empoli	0.0806198
Sampdoria	0.0804463
Anderlecht	0.0803458
"AEK Athens"	0.0797611
"Werder Bremen"	0.0797152
Estudiantes	0.0790124
"Qingdao Hainiu"	0.0786772
Olympiakos	0.0785953
Crewe	0.0768831
Perugia	0.0755555
Udinese	0.0752459
"Colo Colo"	0.0750172
"Borussia Dortmund"	0.074617
Nippon	0.0743502
"FC Barcelona"	0.0737648
Zamalek	0.073676
"AC Parma"	0.073034
"Sturm Graz"	0.0725007
Heerenveen	0.0723496
Parma	0.0721809
"Guangdong Hongyuan"	0.0721422
Vitoria	0.0714189
Nottingham	0.0708734
"Oregon State"	0.07076
Celtic	0.0699545
Kashima	0.0699109
"Bayer Leverkusen"	0.06924
Olimpia	0.0691862
"Jubilo Iwata"	0.0690241
"Deportivo Coruna"	0.0689334
"Bayern Munich"	0.068674
Tarango	0.0685372
"Beijing Guo"	0.0682184
"Joannette Kruger"	0.0668276
Maribor	0.0666542
Ajax	0.0663313
PSG	0.0660655
Valladolid	0.065741
"Slavia Prague"	0.0651512
magpie	0.0643908
AEK	0.064103
"Harry Kewell"	0.0640495
Fiorentina	0.0636429
Necaxa	0.0634968
Vitesse	0.0628818
Freiburg	0.0627496
Andorra	0.0627343
Internazionale	0.062683
Meligeni	0.0623193
Ipswich	0.062278
Bari	0.062022
Rostock	0.0619521
"Barbara Schwartz"	0.061087
"Chicago Blackhawks"	0.0601782
"Hernan Gumy"	0.0599036
Wolfsburg	0.0597935
Atletico	0.0596032
Montpellier	0.0595602
Porto	0.0595556
"Real Madrid"	0.059157
"Judith Wiesner"	0.0586869
Duisburg	0.0586313
Rosenborg	0.0585811
"Bafana Bafana"	0.0585398
Portsmouth	0.058248
Susanti	0.058035
Zaragoza	0.0580065
Juventus	0.0578518
Rennes	0.0572602
"Younes El Aynaoui"	0.0569456
Bayern	0.056785
Wanda	0.0565958
PAOK	0.0565269
"Nicole Pratt"	0.0565131
Napoli	0.0563154
"Sparta Prague"	0.0562866
Valletta	0.0560911
Dortmund	0.0556105
Habsudova	0.055243
Hongyuan	0.0552185
Norwich	0.0548308
Dosedel	0.0546204
"Brett Steven"	0.0535574
Malmo	0.0535138
"Red Star Belgrade"	0.0534081
"Seibu Lions"	0.053398
Bruguera	0.0533107
Blackhawks	0.0529687
Leverkusen	0.052882
Larsson	0.0528461
"Paul Goldstein"	0.0528249
"Paul Caligiuri"	0.0526558
"Villa Park"	0.0515963
"Magdalena Maleeva"	0.0515715
))
(blackface (desc 1930.13) (sims
"body armor"	0.140784
blinder	0.137662
"bowler hat"	0.116393
"life vest"	0.110713
"ski mask"	0.106672
"wedding gown"	0.104038
"boxing glove"	0.103761
loincloth	0.101615
hairpiece	0.100778
miniskirts	0.0989997
knickers	0.0987701
"life jacket"	0.0959029
"combat boot"	0.0946304
"hard hat"	0.094016
blinker	0.0934718
"dark glasses"	0.0933651
"military uniform"	0.09334
"name tag"	0.0928063
"dress uniform"	0.0914764
"straw hat"	0.0847452
yarmulke	0.0845666
"oxygen mask"	0.0842741
tights	0.0834052
"business suit"	0.0819691
"feather boa"	0.0804465
"prayer shawl"	0.0781317
kilt	0.0781303
tux	0.0773131
ascot	0.075171
earphone	0.0746031
"bathing suit"	0.0713406
"rubber boot"	0.070788
pajama	0.070558
transformative	0.0698264
garb	0.0697763
bathrobe	0.0677359
slicker	0.0670769
kimono	0.0670646
headband	0.0663835
brassiere	0.0662803
seatbelt	0.0655777
specs	0.0655732
bustier	0.0654525
headphone	0.0638105
dreadlocks	0.0636686
hand-me-down	0.0631049
regalia	0.0622361
headdress	0.062084
bodysuit	0.0619266
"roller skate"	0.0612539
"cowboy hat"	0.0593176
tampon	0.0585786
swimsuit	0.0578383
bodysuits	0.0576254
BOA	0.0575592
"black tie"	0.0574078
frock	0.0567245
pinstripes	0.0565384
raincoat	0.0556967
fedora	0.0554983
pantyhose	0.0552268
toupee	0.0551555
underpants	0.0548937
"felt hat"	0.0547627
wader	0.0547021
"blue jean"	0.0543646
"leather jacket"	0.0541277
"street clothes"	0.0540986
leotards	0.0533908
curler	0.0533503
spacesuit	0.0531772
"top hat"	0.053032
tuxedo	0.0527927
cabaret	0.052334
jumpsuit	0.0519829
"neck brace"	0.051541
"Dolce &AMP; Gabbana"	0.0513366
"Howdy Doody"	0.0512853
lampshade	0.0508491
suspender	0.0504267
coverall	0.0502868
sunscreen	0.0499705
"face mask"	0.0499311
earplugs	0.0488828
duds	0.0483601
mascara	0.0482188
Clinique	0.0478753
"running shoe"	0.0477388
"life preserver"	0.0476004
"hot pants"	0.0473888
vaudeville	0.0473877
"bulletproof vest"	0.0472917
"Atlanta Constitution"	0.0471963
headgear	0.046508
nightgown	0.0463226
stiletto	0.0460523
overcoat	0.0452017
corset	0.0450932
"tennis shoe"	0.0447949
miniskirt	0.0445807
spandex	0.0443432
armband	0.0442415
wristband	0.043637
"cowboy boot"	0.0431391
"good spirit"	0.0429264
Sari	0.0426086
turban	0.0425576
"East Room"	0.0425255
"evening gown"	0.0425036
Versace	0.0419904
tunic	0.0418466
"Beijing Opera"	0.041764
skullcap	0.041678
"La Guardia Airport"	0.0413046
"spoken word"	0.0412788
skates	0.0412489
getup	0.0410049
finery	0.0408404
"Iceman Cometh"	0.04051
smock	0.0404092
Tutu	0.0402997
bellbottoms	0.0401793
))
(Blackhawks (desc 6906.45) (sims
Canuck	0.211813
Canadiens	0.194617
"Maple Leafs"	0.192313
MetroStars	0.171526
sabre	0.161129
"Los Angeles Kings"	0.158035
"Red Wings"	0.156435
flyer	0.153101
oiler	0.152236
"Mighty Ducks"	0.143289
"Chicago Blackhawks"	0.142926
islander	0.138468
"Florida Panthers"	0.135272
thrasher	0.131959
"Montreal Canadiens"	0.128723
"St. Louis Blues"	0.127392
panther	0.126449
"Vancouver Canucks"	0.12469
"Philadelphia Flyers"	0.123463
bruin	0.121747
"New York Rangers"	0.121094
Orioles	0.119856
"New Jersey Devils"	0.11903
"Team USA"	0.118233
"Dallas Stars"	0.117695
Celtics	0.115942
"Washington Capitals"	0.115908
coyote	0.115271
"New York Islanders"	0.114118
Sooners	0.111917
Cavs	0.110645
Bengals	0.1105
"Tampa Bay"	0.109978
"Tar Heels"	0.109872
penguin	0.109793
"Buffalo Sabres"	0.10873
"Los Angeles Galaxy"	0.108556
devil	0.108159
ranger	0.107558
gamecock	0.107273
piston	0.106736
Springbok	0.104092
"Pittsburgh Penguins"	0.103964
Phillies	0.103809
"Boston Bruins"	0.103716
Raptor	0.103688
"devil ray"	0.103139
"White Sox"	0.102172
"blue jay"	0.102027
Boilermakers	0.101433
ANAHEIM	0.101372
BEARS	0.10133
ASTROS	0.101286
wildcat	0.100989
sixer	0.100942
Edmonton	0.100873
"Anaheim Mighty Ducks"	0.100786
"Washington Wizards"	0.100591
Padre	0.100038
"Horned Frogs"	0.0993801
"Milwaukee Brewers"	0.0990403
"Detroit Red Wings"	0.0987424
Giants	0.0983889
"Golden State Warriors"	0.0978738
Timberwolves	0.0977056
"blue devil"	0.0974548
"Kansas City Royals"	0.0970405
"Calgary Flames"	0.096868
"Crimson Tide"	0.096275
grizzly	0.0962037
Gators	0.0960977
duck	0.0960497
Redskin	0.0959195
"Toronto Maple Leafs"	0.0957825
"San Francisco Giants"	0.0957539
Eagles	0.0951738
"Phoenix Coyotes"	0.0950629
galaxy	0.0949299
Lakers	0.0948162
"Los Angeles Dodgers"	0.0947421
"Florida Marlins"	0.0944841
Bayern	0.0944292
Carolina	0.0943935
clipper	0.094179
lightning	0.0940656
Steelers	0.0937807
Mavs	0.0935136
buckeye	0.0930544
Cornhusker	0.0929919
"Minnesota Timberwolves"	0.0926683
"Cincinnati Reds"	0.0926457
A's	0.0922053
Calgary	0.0922016
"Pittsburgh Pirates"	0.092135
Seahawks	0.0921285
Royals	0.0920331
"Nashville Predators"	0.0918989
"Trail Blazers"	0.0912848
Wolfpack	0.0912468
Expo	0.0908061
"Ottawa Senators"	0.0907851
Sox	0.0907663
"Baltimore Orioles"	0.090622
Sonics	0.0905486
wizard	0.0901291
Udinese	0.0897029
"Philadelphia Eagles"	0.0896084
"Denver Nuggets"	0.0892009
"Chicago Cubs"	0.0888419
"Cincinnati Bengals"	0.0880372
TCU	0.088003
"Carolina Hurricanes"	0.0878981
avalanche	0.087445
shark	0.087389
Raven	0.0872433
"Philadelphia Phillies"	0.0870908
"Houston Astros"	0.0869299
"Dallas Mavericks"	0.086899
"New York Knicks"	0.0868773
"Green Bay Packers"	0.0864331
"Toronto Blue Jays"	0.0860491
Ajax	0.0858954
falcon	0.0858236
"Washington Redskins"	0.0853078
Inter	0.0852131
BUCCANEER	0.0850031
"Phoenix Suns"	0.0848815
"Milwaukee Bucks"	0.0848427
Minutemen	0.0847862
cardinal	0.0847613
"Chicago Bulls"	0.0847604
Hornet	0.0845249
"Red Sox"	0.0844915
"Red Star"	0.0844461
"Dallas Cowboys"	0.0843599
"New York Mets"	0.0840998
charger	0.0840587
Huskers	0.0840034
Supersonics	0.0839894
"Texas Rangers"	0.0839562
"Indianapolis Colts"	0.083747
Detroit	0.0829369
"Charlotte Hornets"	0.0827609
"St. Louis Cardinals"	0.0827425
marlin	0.0825784
Hawkeyes	0.0825093
Pittsburgh	0.0823732
LSU	0.0823275
"Tampa Bay Lightning"	0.0822207
dodger	0.0818221
maverick	0.0815654
"Detroit Tigers"	0.08134
"Los Angeles Lakers"	0.0812757
Vols	0.0809715
"Oakland Athletics"	0.0807881
Montreal	0.080761
"New York Liberty"	0.0807425
"Detroit Pistons"	0.0805336
"Cleveland Indians"	0.0804364
cub	0.0801678
Mets	0.0800837
"Cleveland Browns"	0.0800771
Aggies	0.0800263
Buffaloes	0.0800052
AEK	0.0799512
hawk	0.0799241
"Colorado Rockies"	0.0795793
"Iowa State"	0.0793527
"D.C. United"	0.0792015
"San Diego Chargers"	0.0792004
"Atlanta Hawks"	0.0791577
"New York Yankees"	0.0789354
Venezia	0.0786214
"San Diego Padres"	0.0785113
mariner	0.0783598
Trojan	0.0783562
"Fighting Irish"	0.0783273
Shenhua	0.0782881
"Edmonton Oilers"	0.078258
OSU	0.078202
"Atlanta Braves"	0.0781764
diamondback	0.078171
Purdue	0.0781224
"Montreal Expos"	0.0780082
NAU	0.0780041
predator	0.0779534
husky	0.077863
"Golden State"	0.077822
"Miami Dolphins"	0.077582
pacer	0.0775704
Rutgers	0.0771916
packer	0.0771699
"San Jose"	0.0771154
cougar	0.0769013
cavalier	0.0767665
"Los Angeles Clippers"	0.0767028
Lobos	0.0765927
Stephenville	0.0765771
"Oregon State"	0.0765373
"New York Giants"	0.0763593
))
(blackjack (desc 4322.65) (sims
poker	0.26418
roulette	0.246978
Bingo	0.17309
crap	0.15873
"slot machine"	0.12272
"card game"	0.116671
"card table"	0.111716
croquet	0.107146
solitaire	0.0995885
"poker game"	0.0946183
ping-pong	0.0944567
"game of chance"	0.0929067
gotcha	0.0859917
"musical chair"	0.0783798
"professional basketball"	0.0764743
Pong	0.0691913
pinball	0.0672879
Powerball	0.0657536
"miniature golf"	0.0650225
chess	0.0646191
"audio CD"	0.0641529
betting	0.0639976
billiards	0.0634537
Scrooge	0.060351
"professional baseball"	0.0588237
"second fiddle"	0.0583226
domino	0.0581798
bagpipe	0.0579479
Scrabble	0.0571804
checker	0.0530932
Legace	0.0527966
Baccarat	0.0523914
brinkmanship	0.0522025
"six degrees"	0.05217
"roulette wheel"	0.051152
videogames	0.0493216
Polo	0.0482209
backroom	0.0476502
Thibault	0.0465478
"Amazing Grace"	0.0463918
quizzes	0.0457691
"first eight"	0.0457454
"steel guitar"	0.0445285
Lotto	0.0444452
harmonica	0.0440171
"ice hockey"	0.0434457
"Boise State"	0.0432983
fulltime	0.0430591
hardball	0.0430092
Dunham	0.0425718
"little league"	0.0421933
"next @@"	0.0420666
DVD-ROM	0.0419649
"love seat"	0.0418182
"professional football"	0.0412078
"National Invitation Tournament"	0.0411205
"Saint Louis"	0.0408772
lacrosse	0.0404764
"horse racing"	0.0402078
brinksmanship	0.0401817
))
(blacklist (desc 4147.06) (sims
A-list	0.0751748
"short list"	0.0709518
"crazy quilt"	0.0577714
"mailing list"	0.0528542
"waiting list"	0.0528133
electioneering	0.0520808
"National Register"	0.0506934
"core group"	0.0475493
"assembly line"	0.0455174
rectification	0.0452237
dictatorship	0.043659
"first and third"	0.0425812
"security interest"	0.0425016
cabal	0.0419548
fumigation	0.0418728
beautification	0.0418026
reformation	0.0416564
Vilification	0.0410954
"supper club"	0.0406657
perestroika	0.0406039
commercialism	0.0405498
"numbers game"	0.0404642
hairstylist	0.0402685
"Cultural Revolution"	0.0401396
))
(blackmail (desc 9450.28) (sims
extortion	0.227916
intimidation	0.16032
coercion	0.15337
racketeering	0.146833
bribery	0.144271
sabotage	0.130213
harassment	0.130204
theft	0.124459
fraud	0.121958
manipulation	0.121913
arson	0.12156
vote-buying	0.121383
conspiracy	0.121221
torture	0.119856
kidnapping	0.117154
"grand larceny"	0.116578
gunrunning	0.114389
"child abuse"	0.112923
forgery	0.111469
terrorism	0.110977
embezzlement	0.109829
abuse	0.109542
"sexual assault"	0.109188
treason	0.108718
carjackings	0.108716
hijacking	0.108296
"mail fraud"	0.107507
slander	0.107222
tampering	0.107164
"money laundering"	0.105823
subversion	0.103513
deception	0.102338
abduction	0.102189
"tax evasion"	0.101959
vandalism	0.100694
sodomy	0.0999538
provocation	0.0998328
rape	0.0992312
"armed robbery"	0.0983018
smuggling	0.0975467
larceny	0.0972208
corruption	0.0966216
aggression	0.0963661
prostitution	0.0958935
robbery	0.0956975
molestation	0.095104
hooliganism	0.0938044
piracy	0.0933336
looting	0.0926934
interference	0.092641
espionage	0.0916491
assault	0.0901485
dishonesty	0.0901135
endangerment	0.0900572
sedition	0.0895418
graft	0.0889807
"drug trafficking"	0.0887151
malpractice	0.0884505
thuggery	0.0880004
kickback	0.0870762
shakedown	0.0867431
hypocrisy	0.0864622
censorship	0.0848583
trickery	0.0848307
hostage-taking	0.0847164
malfeasance	0.0841174
"organized crime"	0.0837265
perjury	0.083526
chicanery	0.0833747
repression	0.0831436
mutilation	0.0825045
coverup	0.0823622
incest	0.0822942
violation	0.082221
incitement	0.081761
"tax avoidance"	0.0816702
cover-up	0.0813104
burglary	0.0812441
Concealment	0.0808434
"insider trading"	0.0805353
discrimination	0.0804214
brinksmanship	0.0797593
sexism	0.0797475
bribe	0.0792078
terror	0.0786564
exploitation	0.0784392
trafficking	0.0784333
nepotism	0.078184
intrigue	0.077551
obstruction	0.0774026
propaganda	0.0772527
betrayal	0.0772289
"election fraud"	0.0771636
stalking	0.0771417
defamation	0.0765239
deceit	0.0764093
"hostile takeover"	0.0759809
assassination	0.0757284
"sexual harassment"	0.0756579
persecution	0.075635
protectionism	0.0755973
"breach of trust"	0.0750434
adultery	0.0748802
nonsense	0.0748249
banditry	0.0746827
self-censorship	0.0745117
misconduct	0.0739558
"civil disobedience"	0.0739278
"character assassination"	0.0736754
invasion	0.0731611
overkill	0.0728249
brutality	0.0722755
favoritism	0.0720771
oppression	0.0719888
misuse	0.0719331
"germ warfare"	0.0718549
shoplifting	0.071477
"sour grapes"	0.0711054
bribe-taking	0.0707946
collusion	0.0705906
Indiscipline	0.0704871
cannibalism	0.0702027
neglect	0.0701795
homicide	0.0700482
fabrication	0.0700159
infringement	0.0698202
plagiarism	0.0697546
genocide	0.0689652
criminality	0.0689117
"securities fraud"	0.0686963
mugging	0.0686574
treachery	0.0686375
extremism	0.0682189
lynching	0.0680756
infanticide	0.0679526
subterfuge	0.0678461
retaliation	0.0676812
ploy	0.0674365
negligence	0.0672525
eviction	0.0668818
manslaughter	0.0664487
misrepresentation	0.0661486
seduction	0.0661177
suicide	0.0660926
lawlessness	0.0656983
persuasion	0.065567
greed	0.065322
separatism	0.0651964
"name calling"	0.0651099
racism	0.0649353
"wishful thinking"	0.064905
tyranny	0.0642893
sectarianism	0.0638467
indecency	0.0635443
tactic	0.06346
irregularity	0.0633875
hoax	0.0632564
"stolen property"	0.0629633
breach	0.062943
brinkmanship	0.062831
blasphemy	0.0627307
cronyism	0.0626097
"power politics"	0.0625235
reprisal	0.0622155
burnings	0.0619839
Ostracism	0.0618281
influence-peddling	0.061816
misappropriation	0.0615734
murder-suicide	0.0614212
sham	0.0612669
bigotry	0.0607322
misogyny	0.0607083
demagoguery	0.0603763
evil	0.060344
scam	0.060271
vendetta	0.0601361
mischief	0.0601203
"high treason"	0.0601013
cleansing	0.0600263
insult	0.0597029
triage	0.0595698
"disorderly conduct"	0.0593395
arm-twisting	0.0591065
holdup	0.0590977
spying	0.0589664
cruelty	0.0587907
libel	0.0587708
posturing	0.0586543
instability	0.0583718
"false imprisonment"	0.0582268
mistreatment	0.0580253
beating	0.0579498
infiltration	0.0578832
incompetence	0.0575975
"class warfare"	0.057593
enrichment	0.0575453
"drug abuse"	0.0573167
ultimatum	0.0571138
misinformation	0.0570237
"mass murder"	0.0568845
))
(blackmailer (desc 1249.29) (sims
shoplifter	0.0969233
"Russell Peeler"	0.0790699
sycophant	0.0764521
arsonist	0.0715808
poacher	0.0655968
vandals	0.0637973
racketeer	0.0627213
"Hurricane Dennis"	0.0604328
Raduyev	0.060007
assailant	0.0575284
lawbreaker	0.0573445
rioter	0.057344
Veerappan	0.056907
genealogist	0.0562578
assassin	0.0556966
"welfare worker"	0.0552959
"Angel Maturino Resendiz"	0.0550184
conspirator	0.0545797
Rueter	0.0542273
logger	0.0536398
headhunter	0.053634
"robbery suspect"	0.0519683
Giacchetto	0.0518805
"private detective"	0.051786
"plant disease"	0.0516576
"Edwin Edwards"	0.0513529
extortionist	0.0512273
GIA	0.0508413
McWilliams	0.0500915
abductor	0.0496188
"drug lord"	0.0494961
"Mayon Volcano"	0.0491303
mugger	0.0491252
"Abu Nidal"	0.048865
launderers	0.0485277
macro	0.0484208
CAD	0.0484048
telemarketers	0.0479383
"good Samaritan"	0.0477077
"child molester"	0.0476383
wrongdoer	0.0474277
Histadrut	0.0472499
Peretz	0.0468453
"sense of direction"	0.0461202
stalker	0.0457644
"Recording Industry Association of America"	0.045746
carcinogen	0.0457284
trickster	0.0454267
forklift	0.0452932
looter	0.0450001
"Financial Supervisory Agency"	0.0449185
neo-Nazis	0.0447904
"gasoline pump"	0.0447823
deserter	0.0447551
"price competition"	0.0446903
Grbac	0.0444242
"proxy fight"	0.0443841
"Badminton Association of Indonesia"	0.0442522
"Homo erectus"	0.0441253
heartening	0.043945
SAFY	0.0439285
"shock therapy"	0.0438583
prizefighter	0.0436429
sorter	0.0430479
"Rafael Resendez-Ramirez"	0.042818
hawker	0.04267
stone-throwers	0.0426047
U-boat	0.0425802
trespasser	0.0425797
raccoon	0.042484
bargainer	0.0424001
squatter	0.0422974
schemer	0.0422899
Hermanson	0.0421981
Raoux	0.0421451
grabber	0.0420321
hostage-takers	0.0418883
Reichel	0.0418004
Seselj	0.0417907
"cash crunch"	0.0417598
Musa	0.0417372
provocateurs	0.041372
"World Jewish Congress"	0.0413584
housemate	0.0413509
"Alejandro Toledo"	0.0410572
pandemic	0.0410257
coverup	0.0408521
GSS	0.0408001
captor	0.0404874
probationer	0.04039
"Association of Flight Attendants"	0.0402878
canker	0.0402446
"Osama Bin Laden"	0.040168
Priebke	0.0401672
Palczynski	0.0401119
))
(Blackman (desc 1062.09) (sims
Tarver	0.155214
Grunow	0.154299
Autry	0.149881
Puzo	0.145286
Adair	0.134474
Shoate	0.131038
Byrdsong	0.127993
Menuhin	0.126912
Fiorina	0.126894
"La Mont"	0.124437
Ivey	0.12357
Tilberis	0.122478
Phills	0.121652
Samuelson	0.119199
Whipple	0.119026
HELLER	0.116259
Hobson	0.11592
Hess	0.115895
Nanula	0.115274
Plunkett	0.112909
Marchand	0.112533
Sheehan	0.112466
Jaffe	0.111048
petty	0.110754
Blackwell	0.109023
McGinn	0.107561
Passarella	0.107317
krueger	0.105461
McDonnell	0.103559
Robison	0.102502
Kohn	0.102432
Perrot	0.102393
Padilla	0.101391
Dubus	0.101092
Riady	0.101009
Horowitz	0.100978
Postel	0.0996078
Ickes	0.0995656
"De Klerk"	0.0995399
Doherty	0.0994094
Logue	0.0992822
Lue	0.0979832
Gatling	0.0969362
Sealy	0.0969306
Rankin	0.0969107
Bingham	0.096848
Timlin	0.096549
Higgins	0.0963
MCGEE	0.0962033
Segal	0.0960171
Hoch	0.0958846
Dunleavy	0.0956847
Henning	0.0953305
Ghani	0.0946981
Merritt	0.0946922
nance	0.0941988
Fleischer	0.0938495
Greenwald	0.0931081
Schulz	0.0928429
O'Neil	0.0922282
Hanley	0.0919731
Mukora	0.0911428
Henson	0.0908971
rickey	0.0907907
Sykes	0.0906558
Esposito	0.0902191
Tuinei	0.0901325
Landry	0.0896247
Cooke	0.0894225
Fahey	0.0892874
Garza	0.0883663
Tanaka	0.0883521
Arron	0.0883454
Wilkerson	0.0882896
Cleary	0.0877979
Monson	0.0875847
Fairbanks	0.087022
Ritter	0.0869324
"Jim Harrick"	0.0869197
Holzman	0.0862496
Goldwater	0.0861376
Bowles	0.0860999
Chamberlain	0.086029
Menchu	0.0860245
Carmichael	0.0859112
Harrell	0.0858745
Hersh	0.0851151
Goff	0.084778
Dooley	0.0847284
Tomey	0.0846607
Costin	0.0846364
Harrington	0.0845895
Davidson	0.0845353
Silverman	0.0844678
Merrick	0.0844471
Reimer	0.0843876
Dowd	0.0841587
Gathers	0.0838341
Duffy	0.0837737
Lange	0.0837165
Pryor	0.0835038
Goldin	0.0834919
Barlow	0.0833845
Curley	0.0831271
Stahl	0.0830882
Aron	0.0829205
Beye	0.0828709
Cochran	0.0827742
Modell	0.0825178
Whitacre	0.082459
Yarmila	0.0823544
Wilkens	0.0823532
Soares	0.0822381
Edelman	0.0822354
Podesta	0.0820245
Shearer	0.0818541
McManus	0.0817498
Bowman	0.0817477
Soto	0.0817341
Tierney	0.0816999
Farber	0.0815106
UTA	0.081361
Venables	0.0813533
Kay	0.0813152
Farrell	0.0812763
Talebi	0.0812478
Marx	0.0809387
Flores	0.0809138
Brogna	0.0806492
O'Reilly	0.0804772
Hawke	0.0803677
Tillman	0.0803062
Monahan	0.0800205
Lowry	0.0796912
Radojevic	0.0792729
Ruthardt	0.0792636
Quintero	0.0790894
Godfrey	0.0790608
Hooper	0.0790465
Blume	0.0788722
hodgson	0.0787436
Larson	0.078636
DeBerg	0.078456
Webdale	0.0784422
Huang	0.0782684
Mayfield	0.0781783
Haney	0.0778459
leeson	0.0776689
Tsang	0.0776566
buzzard	0.077572
Betts	0.0774974
Oliveira	0.0774685
Boller	0.0773638
Whaley	0.0771905
Rowe	0.0771683
Waxman	0.0770505
Conley	0.0769166
McPherson	0.076795
Knapp	0.0767548
Lockwood	0.0767534
Longo	0.0765704
Coles	0.0764371
Cline	0.0763615
Kubrick	0.0762747
Carollo	0.0762504
Calloway	0.0759038
PITTS	0.0757969
Stackhouse	0.0757923
Perelman	0.0756276
Olson	0.0756146
Rosenthal	0.0755608
Lambert	0.0755546
Cheng	0.0754842
Lin	0.0753887
Escobar	0.0752411
Kaplan	0.0752268
Meeks	0.0752154
Briscoe	0.0749764
Folkman	0.0749577
Goldstein	0.074793
McLaughlin	0.0747924
Bidwill	0.0747147
Cavallo	0.0745196
Kroll	0.0744897
Flaherty	0.0744494
Machado	0.0743453
Zagat	0.0742027
Atkinson	0.074025
Hartman	0.0739681
Papandreou	0.0737541
McAllister	0.0736502
Abram	0.0736385
"Yankee Clipper"	0.0736323
Musa	0.0732488
Murrell	0.0731391
Blix	0.0730086
Sanderson	0.0729354
Biden	0.0729336
Tong	0.0728533
Lawler	0.0728388
))
(Blackmun (desc 2072.29) (sims
Arbour	0.150808
Durwood	0.139782
Coverdell	0.136288
Havelange	0.130978
Tilberis	0.13032
Mineta	0.126373
"Thurgood Marshall"	0.126165
Iger	0.126113
Wendt	0.124217
Puzo	0.123959
Goldwater	0.120398
Villalonga	0.119847
Marineau	0.119799
Scalia	0.118665
Rehnquist	0.118313
Bulatovic	0.117094
Autry	0.116839
RFK	0.116435
Zadornov	0.113489
Byrdsong	0.111009
Ralston	0.10784
Ginsburg	0.105603
Shattuck	0.105441
Murayama	0.104802
Greenwald	0.104381
Mitterrand	0.104295
Masur	0.103557
Coelho	0.10313
Merritt	0.103115
Nyerere	0.0999992
Schaeuble	0.0994658
Tierney	0.0994284
O'Connor	0.0986458
Boyle	0.0975887
Phills	0.0973919
Ziegler	0.0972641
Shoate	0.0966465
Chafee	0.0957864
Edelstein	0.0956182
Lamberth	0.0954777
Dudayev	0.0951065
Papandreou	0.0950645
Kassirer	0.0949766
Rivlin	0.0946206
Powell	0.0945108
Ruggiero	0.0943296
Tudjman	0.0933967
Trudeau	0.0933418
Cooke	0.093235
Posner	0.093156
Tobin	0.0922877
Breyer	0.0920171
Ekeus	0.0918382
Holzman	0.0916274
Shurmur	0.0913605
Postel	0.0909307
Venables	0.090258
Souter	0.088727
Lari	0.0886408
bullock	0.0885746
Abram	0.0883354
Nkabinde	0.0882958
Ivester	0.0879106
Bogle	0.0875141
Ozawa	0.0871781
Deng	0.0868265
Masire	0.0861628
Brennan	0.0861458
Patten	0.0852972
Kasyanov	0.0851807
Zhivkov	0.084984
Kopp	0.0849131
Remnick	0.0843649
Webdale	0.084
Nkomo	0.0839303
Abacha	0.0838594
"Bora Milutinovic"	0.083648
Myhrvold	0.0836153
Kroll	0.0826565
Sheehy	0.0824848
Lessig	0.0823902
Arens	0.0821233
Hanley	0.082084
Fraga	0.0820346
Stepashin	0.0818207
Biko	0.0817385
Maslyukov	0.0815717
Sihanouk	0.0813635
Rabin	0.081119
"President Lee Teng-hui"	0.0810592
"Amnuay Virawan"	0.0810464
Logue	0.0806112
Titov	0.0805857
Cassie	0.0803454
Atwood	0.0803404
Danforth	0.0802797
Marchand	0.080227
Vasile	0.0795358
Coia	0.0794075
Willes	0.0787894
Coulter	0.0787325
Kubrick	0.0784977
Osborne	0.0783703
"Ruth Bader Ginsburg"	0.078369
Romer	0.0782945
Lafontaine	0.0782736
Eichmann	0.0781913
Rosenthal	0.0780977
Romar	0.0780534
McAuliffe	0.0780329
Gottlieb	0.0779497
Shahak	0.0778915
Ogilvy	0.0777967
Tarver	0.0777734
"Jim Leyland"	0.0772669
Kelleher	0.0770861
nance	0.0770704
Schmalensee	0.0769603
Tarawneh	0.0768068
Barad	0.0766902
Flanagan	0.0762233
Brazile	0.0760676
Schottenheimer	0.0757501
Mortimer	0.0754486
Dodik	0.0753477
Duisenberg	0.0750023
Liberman	0.0748718
McColl	0.0747168
"Lei Feng"	0.0746082
ture	0.0746007
Kurosawa	0.0743681
Kay	0.0741071
"Lawton Chiles"	0.0739993
"Krishna Prasad Bhattarai"	0.0739461
Slatkin	0.0737449
McGowan	0.073243
Robb	0.0731562
"Zell Miller"	0.0731238
Hussein	0.0729095
marshall	0.0728557
Jacquet	0.0726665
SJC	0.07256
DiCarlo	0.0725559
Slepian	0.0724155
Kirby	0.0723016
"Michel Camdessus"	0.0722632
Beye	0.0722109
"Ron Brown"	0.0720836
"Renato Ruggiero"	0.071968
"Kim Jong-pil"	0.0719335
Shao	0.0718855
Majko	0.0718731
Hindery	0.0717688
Kerik	0.0713442
Hormel	0.0713336
"Barry Goldwater"	0.0713218
Wilkerson	0.0712738
"Griffith Joyner"	0.0711897
"David Levy"	0.0710891
Daley	0.0710586
Hoddle	0.0710215
Camdessus	0.0708403
Puente	0.0708112
Allende	0.0706812
McMullen	0.0706178
Walser	0.0705051
Rankin	0.0704843
"Sandra Day O'Connor"	0.0704435
Bartley	0.0703358
Sykes	0.0703166
Whyte	0.070216
Samaranch	0.0701563
Daft	0.070119
Ehrlichman	0.0696302
"Chuck Daly"	0.0695306
Whitacre	0.0694824
Hartman	0.0694802
Ferguson	0.0693851
LaBella	0.0693575
Heaney	0.0692371
Sato	0.0690637
Schulz	0.0688637
Chavalit	0.068833
DIMON	0.0688192
Fiorina	0.0687949
Symons	0.0687683
Briscoe	0.0686794
ROMNEY	0.068543
"Seiji Ozawa"	0.0685213
"Clarence Thomas"	0.0682714
Loeb	0.068241
Vidal	0.0682225
Siskel	0.0680108
Kulikov	0.0679525
Aoki	0.0679439
Hawke	0.0679015
Espinoza	0.0678958
Pastore	0.0677498
Baez	0.0677373
Flaherty	0.0676479
))
(blackness (desc 2939.24) (sims
nothingness	0.0722103
militarization	0.0636869
"guardian angel"	0.0635861
maw	0.0605526
"mind's eye"	0.0583611
"natural state"	0.058151
femininity	0.0578132
"square inch"	0.0563381
dyslexia	0.0516086
crevasse	0.0515841
sharpness	0.051196
coldness	0.0510441
emptiness	0.050594
immensity	0.0499367
edginess	0.0486734
"line of work"	0.0468984
vastness	0.0467946
objectivity	0.04663
subjectivity	0.0463254
gigabyte	0.0457139
BMI	0.0447851
"wedding ring"	0.0438127
mascara	0.0437273
doorbell	0.0435995
Allchin	0.0434078
newness	0.043168
olestra	0.043085
abhorrence	0.0430184
adrenalin	0.0427882
"dry ice"	0.0425386
manhood	0.042406
tears	0.0422965
Monicagate	0.0422609
subconscious	0.0417998
cross-fertilization	0.0417934
brevity	0.0415418
camcorder	0.0415228
clothes	0.0410374
sanity	0.0409152
dollarization	0.0408957
ether	0.0408894
relativism	0.0407752
Jewishness	0.0407359
"million acres"	0.0404593
feathers	0.0403774
"fellow traveler"	0.0403447
wader	0.0401281
))
(blackout (desc 20973.4) (sims
outages	0.202238
outage	0.173232
"power failure"	0.172768
shutdown	0.136245
famine	0.12224
"crop failure"	0.120589
disruption	0.117025
shortage	0.113901
brownout	0.110471
breakdown	0.109979
glitch	0.109157
drought	0.107688
meltdown	0.103447
calamity	0.102913
"work stoppage"	0.100704
rationing	0.100505
unrest	0.100482
walkout	0.100097
snowstorm	0.0997973
malfunction	0.0995838
downpour	0.0990681
"heat wave"	0.0987496
stoppage	0.0987266
"price increase"	0.0973056
closure	0.0968522
catastrophe	0.0966167
riot	0.096305
collapse	0.0962764
interruption	0.0952517
disaster	0.0948509
starvation	0.0944699
cancellation	0.0944216
"flash flood"	0.0943482
crunch	0.0934808
flood	0.0924347
scarcity	0.0916701
delay	0.0914602
disturbance	0.0912209
recession	0.0911597
instability	0.0907559
downturn	0.0904864
rioting	0.0904697
slowdown	0.0901443
outbreak	0.0898369
layoff	0.0898185
paralysis	0.0888678
"bad weather"	0.0885571
"forest fire"	0.0885217
mudslide	0.0876961
leak	0.0871369
"traffic jam"	0.0866654
upheaval	0.0866476
freeze	0.0864427
chaos	0.0855789
eruption	0.0854178
glut	0.08428
temblor	0.0842388
congestion	0.083725
devaluation	0.0835781
bloodshed	0.0834271
explosion	0.0828535
turmoil	0.0827753
turbulence	0.0822046
earthquake	0.0816971
tremor	0.0814286
storm	0.0811824
spill	0.081141
landslide	0.0808709
deluge	0.0807162
deterioration	0.0800808
crises	0.0794369
"cold spell"	0.079361
epidemic	0.079324
blockade	0.0791768
curfew	0.0787439
shortfall	0.0781117
"tidal wave"	0.0779665
Typhoon	0.0779056
boycott	0.0771264
tsunami	0.0770083
"food poisoning"	0.0768111
Snowfall	0.0764948
lockout	0.0764477
"economic crisis"	0.0760584
"health problem"	0.0760107
rain	0.0756728
tornado	0.0753004
seizure	0.0751764
incident	0.0750656
Quake	0.0749472
accident	0.0748543
sickout	0.0747676
violence	0.0746548
"acid rain"	0.0744447
rainstorm	0.0742266
clash	0.0741967
sell-off	0.0741429
rainfall	0.0740177
tragedy	0.0739981
crisis	0.0737609
hike	0.0735803
hardship	0.0735382
cutback	0.0734554
looting	0.0733615
plunge	0.0733087
panic	0.0727145
foul-up	0.0727133
emergency	0.0723151
breakup	0.0721914
"ice storm"	0.0720376
slump	0.0720248
headache	0.0717834
degradation	0.0716995
fluctuation	0.0716451
scare	0.0715451
gridlock	0.0713389
mishap	0.071211
postponement	0.0711703
confusion	0.0708469
surge	0.0707039
failure	0.0706562
blizzard	0.0705831
raid	0.0705344
"bank failure"	0.0704737
oversupply	0.070122
erosion	0.0700043
Depression	0.069908
"heart attack"	0.0698263
depreciation	0.0695971
outflow	0.0694262
censorship	0.0692547
exodus	0.0692216
default	0.0691556
invasion	0.0690299
"air pollution"	0.0689789
Haze	0.0689372
poisoning	0.0686816
flare-up	0.0686123
weather	0.0685733
leakage	0.0683692
Thunderstorm	0.0681367
Frost	0.0680989
sandstorm	0.0680962
demonstration	0.0680313
confrontation	0.0678779
flooding	0.0677875
illness	0.067754
snafu	0.067602
"job cut"	0.0674462
contamination	0.0672192
isolation	0.067212
desertification	0.0671162
volatility	0.0671045
defection	0.0670485
"financial loss"	0.0669882
"rate cut"	0.0667157
"rate hike"	0.0666951
embargo	0.0665793
crackdown	0.0665688
evacuation	0.0665608
aftershock	0.0663297
moratorium	0.0661498
bombing	0.0661269
"budget cut"	0.0660817
spell	0.0660727
"back pain"	0.0656851
suspension	0.0656576
destruction	0.065562
complication	0.0654629
selloff	0.0653992
"rate increase"	0.0653643
insolvency	0.0651747
"engine failure"	0.0651466
unemployment	0.0651419
airstrikes	0.064916
massacre	0.0648888
"volcanic eruption"	0.0648222
"military action"	0.0647453
"soil erosion"	0.0647387
Collision	0.0647264
retrenchment	0.0646217
"water pollution"	0.0645104
"cold snap"	0.0644748
deflation	0.0643672
insecurity	0.0643323
convulsion	0.0642832
"El Nino"	0.0642806
cease-fire	0.0638757
"arms race"	0.0638078
bombardment	0.0637861
lockdown	0.0637661
malnutrition	0.0637187
conflagration	0.0636523
difficulty	0.0636162
bankruptcy	0.0636077
conflict	0.0635798
sanction	0.0634336
uncertainty	0.0630095
bloodbath	0.0627962
spike	0.0627952
))
(Blackpool (desc 2104.49) (sims
BRIGHTON	0.158001
Nottingham	0.129208
Wildwood	0.12115
Sochi	0.116649
Davos	0.114971
Antalya	0.107732
Manchester	0.10145
Pattaya	0.0969368
Eilat	0.0968825
el-Sheikh	0.0952151
"Paul Johnson"	0.0951315
Crewe	0.0948519
Peterborough	0.0931361
Eastbourne	0.0919361
Cardiff	0.0907743
Beidaihe	0.0907546
Canterbury	0.08971
"Victoria Falls"	0.0879458
"Law Lords"	0.0879422
Lugano	0.0871923
Beersheba	0.0866684
Bayonne	0.0865076
Cavalese	0.0855467
Ensenada	0.0846967
Stansted	0.0835585
Kizlyar	0.0809444
Chamonix	0.0798612
Baidoa	0.0792355
Trondheim	0.0791171
Aachen	0.0789144
Kisumu	0.078768
Matadi	0.0780147
Lhokseumawe	0.0777532
"Banja Luka"	0.0762766
Leeds	0.0755513
Nago	0.0750611
Yekaterinburg	0.0750035
Portsmouth	0.0748813
Juba	0.0744498
Aberdeen	0.0736697
"West Ham United"	0.0732841
Chester	0.0717521
Posoltega	0.0714467
Murmansk	0.0712312
Glasgow	0.070897
Plata	0.0705351
Vitoria	0.0704801
Rostock	0.0702602
Brcko	0.0698728
Ashkelon	0.0691722
Sihanoukville	0.0690988
Almaty	0.0682326
Leicester	0.0677587
"Puerto Vallarta"	0.0676205
Maastricht	0.0667347
Larnaca	0.0666141
Liege	0.0666025
Hastings	0.0664958
Makeni	0.065798
Medellin	0.0655669
Aqaba	0.0652051
Leskovac	0.0646552
Heerenveen	0.0644031
Baalbek	0.0637907
"Kosovo Polje"	0.0636014
Toluca	0.0633432
Ismailia	0.0629982
Malaga	0.0628401
Exeter	0.0626656
Marjayoun	0.0623335
Taba	0.0622662
Moshi	0.0617762
Klina	0.0615555
Hampshire	0.0614689
Newcastle	0.0611106
Surrey	0.0609711
Luxor	0.060965
Durban	0.0608231
Bulawayo	0.0605942
Macoris	0.0601337
Aswan	0.0600845
"Deportivo Coruna"	0.0599425
Haifa	0.0595537
"Gaza City"	0.0592748
Kandy	0.0592508
Mazar-i-Sharif	0.058912
"San Sebastian"	0.0586791
Antwerp	0.0586665
Limerick	0.0586052
Sussex	0.0582029
Midrand	0.057996
Sion	0.0579947
Ur	0.0577165
Northampton	0.057531
Yorkshire	0.0572106
Kuching	0.0571389
"Port Elizabeth"	0.0571331
SOFIA	0.0570818
Guayaquil	0.0569216
Ibadan	0.0568181
"Newcastle United"	0.0567994
Sheikh	0.056718
Palembang	0.056651
Southampton	0.056633
Acapulco	0.0563971
Gulu	0.0563804
Salzburg	0.0563757
Sanya	0.0562044
"Sun Valley"	0.0561959
"Ocean City"	0.0561228
Livingstone	0.0560935
Beira	0.0555835
Gloucester	0.0554899
Minsk	0.0551911
Limassol	0.0551287
Halifax	0.0550669
Gudermes	0.0549761
Coventry	0.0548506
Norwich	0.0548082
Multan	0.0546136
Trincomalee	0.0545405
Edinburgh	0.0545335
Srbica	0.0545249
Casas	0.0545166
Bremen	0.0544735
Atambua	0.0542371
Phuket	0.0542039
Windsor	0.0541539
"Leeds United"	0.0541314
"Tottenham Hotspur"	0.054018
"Port Said"	0.053938
Dundalk	0.0538263
"CHIANG MAI"	0.0537954
Eindhoven	0.0537767
Jalalabad	0.0536503
Warri	0.0535545
Cartagena	0.053528
Kindu	0.0534757
"San Pedro Sula"	0.053468
Walkerton	0.0533921
Kitwe	0.0533407
Merida	0.0532704
Salvador	0.0529617
Tachilek	0.0527123
Bloemfontein	0.0527002
"Crystal City"	0.0526958
Ramallah	0.0526667
"Novi Sad"	0.0526331
Ghent	0.0526083
Astana	0.0525354
Pailin	0.0524411
Banff	0.0524272
Kyoto	0.0523796
BUDAPEST	0.0523639
Cheshire	0.0522945
Lucerne	0.0521653
Krakow	0.0518421
Sestriere	0.0517978
Winchester	0.0516764
"Martin Lee"	0.0516492
"Del Harris"	0.0516367
"Myrtle Beach"	0.0516318
Bilbao	0.0516115
Yantai	0.0512107
Lausanne	0.0512059
Catania	0.0511649
Kismaio	0.0511255
Bradford	0.0510379
Charleroi	0.0509685
Cannes	0.0508855
Baotou	0.0508581
Nantes	0.0507493
Devon	0.0506432
Gnjilane	0.0502257
Fulham	0.0502154
Golcuk	0.0502029
Carthage	0.0501874
Khabarovsk	0.0501649
Herat	0.0500638
Zaragoza	0.0499643
Izmit	0.0498037
Falmouth	0.0496578
Turin	0.0495995
Torino	0.0495719
Newport	0.049566
Rafah	0.049473
"Ciudad Juarez"	0.0494364
Taloqan	0.0493814
"Del Rio"	0.0490514
Stuttgart	0.0489824
Qinhuangdao	0.0489728
Doha	0.0489013
"November @-@"	0.0488308
Bazar	0.0488211
Preston	0.0487824
"East Lansing"	0.0487412
Jeddah	0.0486998
Mosul	0.0486763
Dubrovnik	0.0485738
Kano	0.0484105
))
(Blacksburg (desc 1601.49) (sims
"Virginia Beach"	0.1441
Roanoke	0.139845
Lynchburg	0.13656
Reston	0.123362
Langley	0.121237
Charlottesville	0.110628
"Buena Vista"	0.108914
Herndon	0.10664
Fairfax	0.103227
Yorktown	0.102943
Petersburg	0.101984
Storrs	0.0976435
"Fairfax County"	0.0936913
"Gator Bowl"	0.0928468
"East Lansing"	0.0847878
Knoxville	0.0841493
"South Boston"	0.0835885
McLean	0.0830985
Fredericksburg	0.0829439
Tuscaloosa	0.0805252
Danville	0.0797664
Suffolk	0.0785131
Williamsburg	0.0765624
Smithfield	0.0759659
Dulles	0.0752921
TALLAHASSEE	0.0741453
Hattiesburg	0.0718777
Norfolk	0.0711441
Lexington	0.0703807
Tiki	0.0702671
Laramie	0.0700072
"sugar bowl"	0.0693645
Portsmouth	0.0680334
Greensboro	0.0670643
Falmouth	0.065378
Clifton	0.0652236
Bloomington	0.0649225
"Ann Arbor"	0.0646662
Winchester	0.0640456
Chesapeake	0.0636958
"South End"	0.0629159
Gainesville	0.0614756
Jamestown	0.0612282
"College Station"	0.0604339
Ashland	0.059813
Casper	0.0596245
Stafford	0.0580557
Chappaqua	0.0577593
"Fort Lee"	0.0572635
"Orange Bowl"	0.0564203
"Little Havana"	0.0563872
"Chapel Hill"	0.0559021
Pullman	0.0557091
"Fort Myers"	0.0556262
Hillsboro	0.0555384
Tucson	0.055502
"Saratoga Springs"	0.0548276
"Palo Alto"	0.0546847
"Crystal City"	0.0544769
"Overland Park"	0.0541798
Springfield	0.0538907
bethel	0.05382
"NFC East"	0.0533435
KeyArena	0.0531117
Tempe	0.0530667
"Vero Beach"	0.0509907
"Round Rock"	0.0509496
Bridgehampton	0.0509458
Paterson	0.0505113
Greenville	0.0503934
toffee	0.0503037
"Reunion Arena"	0.0500776
Westport	0.0498593
Durham	0.049653
Brookline	0.0494693
Toulouse	0.0491279
"Key West"	0.0490474
Madison	0.0488575
"native land"	0.0488496
"San Marcos"	0.0485806
Salem	0.0475197
Montpelier	0.0474614
Ames	0.0474348
"Milky Way"	0.046869
Chester	0.0467226
off-campus	0.0465239
Riga	0.0464659
"San Angelo"	0.0463836
Gloucester	0.0463572
"skid row"	0.0463065
"East Texas"	0.0461083
Carthage	0.0459745
Skaneateles	0.0459468
Raleigh	0.0458504
Foxborough	0.0458152
karaoke	0.0457574
Evanston	0.0457405
Longview	0.0455587
"Rocky Mount"	0.0453901
Galveston	0.0451884
"Cinergy Field"	0.0450857
Wilmington	0.0447811
Burlington	0.0445928
Topeka	0.0445179
canton	0.0443935
Bedford	0.0443496
Lubbock	0.0439757
Woodbridge	0.0438963
"Egyptian capital"	0.0437686
"Kigoma Region"	0.0435919
Sedona	0.0435709
"Sunshine State"	0.0434985
"mess hall"	0.0432071
"Miami Valley"	0.0431935
"Russian capital"	0.0430115
"Coral Gables"	0.0428286
Stillwater	0.0426942
Middletown	0.0425699
"La Jolla"	0.0424634
Evansville	0.0424276
Redmond	0.0424166
"New Haven"	0.0424079
"Harvard Square"	0.0422937
"North Beach"	0.0419895
"Wichita Falls"	0.0419796
"West Berlin"	0.0418489
"Mountain View"	0.0417976
Sussex	0.0416429
Groton	0.0416197
Cornish	0.0415744
Westwood	0.0415423
UTA	0.0414648
"East Village"	0.0414387
"Cherry Hill"	0.04135
Omaha	0.041123
"Fort Worth-Dallas"	0.0408999
Alpharetta	0.0404697
"South Bend"	0.0404369
Amherst	0.0404338
Fayetteville	0.0402792
KU	0.0402066
"Des Moines"	0.0401004
Rockdale	0.0400875
"Santa Clara"	0.0400338
))
(blacksmith (desc 2902.9) (sims
bricklayer	0.107347
florist	0.0922896
cabinetmaker	0.0900107
Barber	0.0887979
electrician	0.0811744
butcher	0.0808514
plumber	0.0766463
welder	0.0762696
carpentry	0.0727404
woodworker	0.0721027
carpenter	0.0702481
Sorcerer	0.0691927
artisan	0.0684173
craftsmen	0.0673421
jeweler	0.0667188
storekeeper	0.0662874
landscaper	0.0630907
craftsman	0.0621017
sculptor	0.0610451
Goldsmith	0.0606672
"electrical engineer"	0.0596076
repairman	0.0589608
"traveling salesman"	0.0585833
gardener	0.0583865
innkeeper	0.0579465
vaulter	0.0575482
mailman	0.0572886
infantryman	0.0569732
herder	0.0567402
"guitar player"	0.0566244
Martian	0.0560042
fisherman	0.0557866
cellist	0.0557489
steelworker	0.0551647
grocer	0.0551567
joiner	0.0548259
beekeeper	0.0543011
"police sergeant"	0.0538921
weatherman	0.0530402
chemist	0.0524928
cinematographer	0.0522744
Lollar	0.0522391
"altar boy"	0.0515365
potter	0.0509762
"chess player"	0.0508794
Jesuit	0.0502773
tailoring	0.0496517
"naval officer"	0.0495991
suburbanite	0.049514
workmen	0.0494952
seamstress	0.0492209
"hockey coach"	0.0489296
manicurist	0.0488696
lobstermen	0.0488512
"mechanical engineer"	0.0487696
landscapers	0.0487122
monger	0.048475
handyman	0.0482948
dentist	0.0481675
agronomist	0.0481247
"school teacher"	0.0480448
shaman	0.0480252
"dry cleaner"	0.047953
"funeral director"	0.0479163
naturalist	0.0476383
curio	0.0474734
herdsman	0.0474082
"high street"	0.0473992
hairdresser	0.0472121
"big leaguer"	0.0471153
"planning board"	0.0468979
bullfighter	0.0466889
"interior designer"	0.0465691
"Julius Erving"	0.0465474
CRC	0.0463953
assembler	0.0463487
sharecropper	0.046221
weaver	0.0458864
restaurateur	0.0458863
"eye doctor"	0.0458258
"radio announcer"	0.0457081
sommelier	0.0455025
triathlete	0.045478
"computer programmer"	0.0450707
shipbuilder	0.0450707
quadriplegic	0.0449824
neurosurgeon	0.0449715
"general practitioner"	0.0449386
"farm worker"	0.0449271
Postmaster	0.0448298
sherpa	0.0448136
"hockey player"	0.0445658
alderman	0.0445642
"day laborer"	0.0443547
clarinetist	0.0442775
"department employee"	0.0442775
Intimidator	0.0442605
D.J	0.0442502
seminarian	0.0441749
"film producer"	0.0438477
"school superintendent"	0.0438212
draftsman	0.0436602
headmaster	0.0433332
cabdriver	0.0432654
pianist	0.0432095
Kinko	0.0431364
"professional golfer"	0.0430058
"left-handed pitcher"	0.0428414
scuba	0.0427999
footballer	0.0426515
Bostonian	0.0426094
winemaker	0.0425661
"white person"	0.0425067
"ballet dancer"	0.0423378
mathematician	0.042328
deejay	0.0423264
outdoorsman	0.042207
"black person"	0.0422056
cantor	0.0421618
stylist	0.042152
"house painter"	0.0421182
psychotherapist	0.0418728
boater	0.0418642
carver	0.0418448
preacher	0.0418289
"art dealer"	0.0418224
newspaperman	0.0417819
supermodel	0.0417305
Felton	0.0416393
knuckleballer	0.0414675
portraitist	0.041427
pharmacist	0.0411557
lass	0.0411462
puppeteer	0.0411045
watchman	0.0411042
vintner	0.0410215
hemophiliac	0.0409767
machinist	0.04096
schoolteacher	0.0408341
colorist	0.0407758
"staff sergeant"	0.0407633
airman	0.0405689
"math teacher"	0.0405489
"TV reporter"	0.040543
"transport ship"	0.0405349
"civil engineer"	0.0405119
gunslinger	0.0404825
nitwit	0.0404429
Rove	0.0404396
violinist	0.0403288
showman	0.0403032
"jazz musician"	0.0400113
))
(Blackthorne (desc 1133.77) (sims
Neulander	0.266841
Haouari	0.231437
"El Hage"	0.223147
Kiareldeen	0.222206
"Maturino Resendiz"	0.215035
Manbar	0.208155
"Russell Peeler"	0.205883
Capano	0.180781
Markhasev	0.178943
Karr	0.174531
Stayner	0.174294
Jelisic	0.172334
Kagalovsky	0.171495
Soliah	0.170105
Kalejs	0.169399
Mikhailov	0.167909
Hsia	0.166452
Gauthe	0.163633
Lileikis	0.1632
Bakaly	0.163125
Natale	0.162964
Meskini	0.162939
Lacresha	0.161256
Berenson	0.158219
Giacchetto	0.157408
Skakel	0.155646
Gravano	0.154767
Kimeses	0.154307
Shayler	0.152275
Akayesu	0.151256
Lundy	0.151182
McGinn	0.150476
Nikitin	0.150327
Carruth	0.14961
Priebke	0.149354
Sebaggala	0.148238
Hage	0.148132
Merlino	0.147572
"Michael Skakel"	0.147454
LeFave	0.1471
Dokmanovic	0.146578
Sweeting	0.14647
Hiett	0.144498
Gritz	0.143641
Swango	0.143271
Symington	0.142319
Cavallo	0.14119
Faget	0.140645
Jenoff	0.140303
"Cary Stayner"	0.139138
Ramseys	0.138856
Hamid	0.138318
Haney	0.138204
Callaghan	0.137717
Shipman	0.137366
Khalil	0.135662
Elhage	0.134976
Paciello	0.134255
Baumhammers	0.13284
peeler	0.132795
Martorano	0.132426
Kurth	0.132028
Garofalo	0.131861
Espy	0.131441
"Angel Maturino Resendiz"	0.130171
Shinn	0.1299
Harris-Lewis	0.12927
Trie	0.12884
Kopp	0.127964
Schwarz	0.126798
Piggie	0.125489
Salemme	0.125244
Mattysse	0.125191
Musa	0.124793
Boesak	0.124781
Hirschfeld	0.124494
Villanueva	0.124061
Fassett	0.123885
Sakic	0.123386
Borodin	0.123034
Fagan	0.122985
Grossberg	0.1228
"Ruiz Massieu"	0.122489
Agca	0.12166
Cisneros	0.121298
Ghani	0.119989
Drabinsky	0.119283
Mercurio	0.118995
Romanowski	0.118855
Strauss-Kahn	0.116867
Yoo	0.116577
Kodikian	0.116574
chun	0.11558
Tevanian	0.115242
Lugo	0.11515
Roussel	0.115057
Kaczynski	0.114896
Reimer	0.114849
Shulman	0.114748
Ntuyahaga	0.11435
Sheinbein	0.113794
Bhutto	0.113693
Faulder	0.113466
Kazhegeldin	0.113262
"Carlos Salinas"	0.112998
Pyle	0.112852
Quackenbush	0.11224
McDougal	0.112031
Ng	0.112019
Yazdi	0.111943
"Patsy Ramsey"	0.111657
Valenzuela	0.111581
Ntakirutimana	0.111016
Trevi	0.11065
Schiffer	0.110077
Montiel	0.110055
Jarrell	0.109972
Biskind	0.109839
Bove	0.109781
"Raul Salinas"	0.10938
Pugh	0.109319
Lipstadt	0.109282
"Maturino Resendez"	0.109071
Kovacevic	0.109071
Falater	0.109027
Imperatori	0.108836
Lazarenko	0.107975
McVeigh	0.10797
Kambanda	0.107665
Zarkin	0.107341
Noriega	0.107228
Trischitta	0.107011
Wiese	0.106933
"David Graham"	0.106504
"Marianne Gingrich"	0.106382
Jewell	0.105842
Haughey	0.105562
Pirro	0.105559
Schmitz	0.105493
Barrionuevo	0.105429
Einhorn	0.10533
Sarsour	0.104681
Ackerman	0.104536
Winkler	0.104007
Vasquez	0.103049
Karbaschi	0.102543
McKinney	0.102247
Mudge	0.102001
McWilliams	0.100605
Portnoy	0.100555
Flemmi	0.100393
Laudor	0.100344
"Albert Pirro"	0.10031
Nkabinde	0.0999543
Nasrin	0.0997168
Maag	0.0995761
Steele	0.0995687
furrow	0.0991665
Mohamed	0.0991423
looper	0.0990267
Krstic	0.0985561
"Ahmed Ressam"	0.0982517
Auriemma	0.0980785
Levesque	0.0980678
Abernathy	0.0980414
Lawler	0.0976218
Coia	0.0975959
Cheung	0.0975481
Robison	0.0970879
Demjanjuk	0.0969824
Krajisnik	0.0965989
Livoti	0.0965249
Abu-Jamal	0.0964788
Tran	0.0964065
Mitnick	0.0963504
Rahman	0.0962837
Volpe	0.0961482
Ruelas	0.0959103
"Theodore Kaczynski"	0.0958759
"Richard Ashby"	0.0951916
Odeh	0.0951744
Connolly	0.0951473
Kehoe	0.0951009
Qureshi	0.0949898
Craxi	0.0949542
Kimes	0.0946499
Ingraham	0.0944717
Shandling	0.0943399
Koop	0.0943017
"Timothy McVeigh"	0.094281
Donohue	0.0940911
Baucus	0.094089
Rocha	0.094036
Hensley	0.0936674
Sheppard	0.0935879
Dutchmen	0.0932821
KEVORKIAN	0.0930556
Olson	0.0928845
Hubbell	0.0928803
Finkel	0.0926759
))
(blacktop (desc 2714.81) (sims
parkland	0.0818192
frontage	0.0727438
deadend	0.0669326
marshland	0.0664174
byway	0.0647772
asphalt	0.0639157
cropland	0.062317
footpath	0.0614468
second-grade	0.0577397
causeway	0.0574846
freeway	0.0550938
interstate	0.0547488
gravel	0.0546967
Astroturf	0.0533929
roadway	0.0515133
prairie	0.0515116
barrios	0.0514236
"Highway @@"	0.0489195
I-@@	0.0488991
connector	0.0486828
"leg bone"	0.0479759
sternum	0.0479693
McDOWELL	0.0472338
alleyway	0.0470993
"Pacific Coast"	0.0470307
three-mile	0.0470267
riverfront	0.0463152
"red clay"	0.0457177
"Route @@"	0.0449584
beachfront	0.0449017
autobahn	0.0448093
interstates	0.0447376
curvy	0.0443788
"back country"	0.044106
Rafah	0.0424885
hearts	0.0421926
Auger	0.0419918
grassland	0.0417704
culvert	0.0416183
"access road"	0.041396
"Interstate @"	0.0412929
"carriage house"	0.0410656
"flight of stairs"	0.0410132
patching	0.0406899
"Hollywood Boulevard"	0.0404566
"hot weather"	0.0402959
))
(Blackwell (desc 1996.32) (sims
Whipple	0.121605
Nickerson	0.115866
Mukora	0.111073
Blackman	0.109023
Hahn	0.107887
Wilhelm	0.106827
"De Klerk"	0.104549
O'Neil	0.104514
D'Alessandro	0.100921
Hodler	0.100333
Zuckerman	0.100205
Nanula	0.0993031
Finkel	0.0974691
Hanley	0.0973917
Kenyon	0.0969293
Rubenstein	0.0961548
Berman	0.0952699
"Jack Valenti"	0.0947088
"Al Fayed"	0.0944097
Rothenberg	0.0936199
Betts	0.0934067
Ritter	0.0922273
Zarb	0.0914375
Talebi	0.0908465
Rosenthal	0.0907127
Alcorn	0.0906338
HELLER	0.0902742
Tsang	0.0898942
Goldin	0.0898502
Havelange	0.0892782
Beilin	0.0888255
Leahy	0.0876424
Greenwald	0.0866591
Zeng	0.0866324
Bowles	0.0863435
Hess	0.0847088
Grossman	0.0843256
Prescott	0.0837427
Herron	0.083422
Wolfson	0.0832703
Schell	0.0830943
Wiatt	0.08307
Reiner	0.0827139
Houghton	0.0825695
Duffy	0.0823053
Valenti	0.0822061
Soto	0.082143
Goh	0.0820048
Piot	0.0818675
Draper	0.0817506
Zhirinovsky	0.0816762
Waxman	0.0813097
Weisman	0.0812583
Iglesias	0.080898
Ickes	0.0806838
Chung	0.0805884
Ohlmeyer	0.0804007
Dowd	0.0803711
Erwin	0.0802743
Ebersol	0.0798372
LaPierre	0.0795632
Podesta	0.0794489
Lerner	0.0791691
Nebiolo	0.0789408
Solich	0.0789057
Jaffe	0.0787436
Dooley	0.0783811
"administration official"	0.0783005
Gullikson	0.0782271
Barlow	0.0781269
Advani	0.078085
DiCicco	0.0777722
Zuma	0.0777511
Autry	0.0777473
Sargent	0.0776651
"de Charette"	0.077363
Kaplan	0.0770334
Singson	0.0769921
Schmidt	0.0769131
"La Mont"	0.0768812
Rubin	0.0768359
Nasrallah	0.0764984
Rudman	0.0762485
Sahadi	0.0762273
Pollack	0.0761617
Blatter	0.0761019
Barron	0.0760999
Ashrawi	0.0755713
Flanagan	0.0755038
Paxon	0.0754573
Setzer	0.0752945
Hu	0.07528
Lockhart	0.0752169
Silverstein	0.0750332
Hayden	0.0748251
Haney	0.0747941
Krugman	0.0747702
Sassa	0.0747603
Markovic	0.0747032
Kolbe	0.0745605
Eizenstat	0.0745222
Camdessus	0.0744298
Coles	0.0743723
O'Connell	0.0743668
Husseini	0.0741801
O'Reilly	0.0739581
Shapiro	0.07391
McDermott	0.0738792
Kahn	0.0736991
Matthews	0.0735156
Gilman	0.0733639
Zwick	0.0731668
Tarver	0.0729815
rickey	0.0729754
Kurth	0.0729587
Wyly	0.072909
Strauss-Kahn	0.0728671
Garza	0.0728516
Taft	0.0727751
Iger	0.0727496
Hybl	0.0726223
Malu	0.0725811
Mustafa	0.0721696
Solis	0.0720262
Meyers	0.0718745
Yastrzhembsky	0.0718703
Zagat	0.07183
Schlessinger	0.0716613
Mehta	0.0715414
Perelman	0.0715303
Keating	0.0714393
Dobson	0.0713847
Grunow	0.0712988
Ferrer	0.0710317
Ivey	0.0709978
Tauzin	0.0708621
Cheng	0.070815
Lyons	0.070773
Fraga	0.0706891
Markey	0.0705475
Tanui	0.0705154
Epstein	0.0704536
Zeroual	0.0704287
Berger	0.0704173
Felten	0.0703764
Connerly	0.0702509
DeFrantz	0.0701983
Harrington	0.0700507
wen	0.069915
LU	0.0695874
Lau	0.0694575
Jovanovic	0.0693264
Jayakumar	0.0692545
Lessig	0.0691918
Nadler	0.0691808
Duisenberg	0.0691792
Kasoulides	0.0691341
Bidwill	0.0691305
Seleznyov	0.0690643
Vogel	0.068981
Schmid	0.0688513
Brody	0.0687833
"Warren Christopher"	0.0687753
Timlin	0.068757
Hawke	0.0687521
Reilly	0.0686132
Puzo	0.0684696
Chretien	0.06842
Lehane	0.0684044
Goldberg	0.0683223
Blix	0.0682555
"Tom Johnson"	0.0681047
Corzine	0.0680157
Siegel	0.0678326
Chissano	0.0677548
Greenspan	0.067686
Drexler	0.0676776
Kostov	0.0674822
Cochran	0.067457
Hoch	0.0674091
Satcher	0.0671079
Gauthier	0.0670633
Dewine	0.0669954
Mackey	0.0669849
McGovern	0.066934
Azizah	0.0669327
Ivanov	0.0668374
McMahon	0.0668246
"Faisal Husseini"	0.0668009
Sherman	0.066786
Hasan	0.0667708
Gates	0.0667146
Steinberg	0.0666712
Molinari	0.0665097
Klima	0.0664615
Passarella	0.0664043
Brazile	0.0664039
Raitt	0.066355
Gilmore	0.0663403
Bildt	0.0663236
))
(bladder (desc 10309) (sims
prostate	0.238732
pancreas	0.224047
esophagus	0.208156
ovary	0.182929
colon	0.175888
spleen	0.175717
kidney	0.173148
gallbladder	0.169604
lung	0.165778
"lymph node"	0.151598
thyroid	0.147433
liver	0.147258
testicle	0.145982
uterus	0.144286
intestine	0.138853
stomach	0.135285
bowel	0.133952
breast	0.132394
"heart valve"	0.13027
larynx	0.129694
"blood vessel"	0.122107
sinus	0.118441
tonsil	0.117501
cervix	0.116563
gall	0.109173
"nervous system"	0.104824
brain	0.10049
"prostate gland"	0.098461
"achilles tendon"	0.0983106
appendix	0.0963053
gland	0.0956886
cornea	0.0954053
"central nervous system"	0.0946008
"skin cancer"	0.0944441
tumor	0.0938233
"spinal cord"	0.093468
cyst	0.0933815
"digestive tract"	0.0920454
"vocal cord"	0.0917872
"lung cancer"	0.0893402
"large intestine"	0.0872772
vagina	0.0865987
"digestive system"	0.0857753
cartilage	0.0851819
abdomen	0.0847099
tissue	0.083738
"bone marrow"	0.0835007
gallstone	0.0827572
aorta	0.0817866
"colon cancer"	0.0804617
cataract	0.0777214
implant	0.0774631
aneurysm	0.0774177
throat	0.077259
polyp	0.0765349
cancer	0.0754123
skin	0.0747822
organ	0.0731706
hypertension	0.0727608
"internal organ"	0.072154
asthma	0.0712525
"kidney disease"	0.0709923
ulcer	0.0697448
"brain tumor"	0.0695334
diaphragm	0.0694272
"inner ear"	0.0690825
muscle	0.0678637
tendon	0.0676911
eardrum	0.0667953
nerve	0.0664765
"congestive heart failure"	0.0663617
retina	0.0662866
Osteoporosis	0.0660729
Parkinson's	0.0660327
rectum	0.0659425
artery	0.0658415
hernia	0.0657957
"multiple sclerosis"	0.0650525
"breast implant"	0.0631393
arthritis	0.0629839
penis	0.0629307
"kidney stone"	0.0615551
Achilles	0.0614516
"heart failure"	0.0614458
"heart disease"	0.0612499
lesion	0.0610451
"liver disease"	0.0609017
epilepsy	0.0605956
bone	0.060543
diabetes	0.0604626
leukemia	0.0592381
"high blood pressure"	0.0591506
migraine	0.0590247
ACL	0.0586856
buttock	0.0584837
"blood pressure"	0.0583965
airway	0.0583125
"vital organ"	0.0582869
hippocampus	0.0580813
lining	0.0578485
rib	0.0577657
angioplasty	0.0574634
"white blood cell"	0.0569071
infection	0.0568953
angina	0.0567407
valve	0.0566506
"brain cell"	0.0562892
glaucoma	0.0562424
vein	0.0562189
limb	0.0559402
spine	0.0559349
hepatitis	0.055755
als	0.0553148
disorder	0.0552076
fascia	0.0550677
clitoris	0.0550627
ligament	0.0549447
"rheumatoid arthritis"	0.0536181
infertility	0.0535342
deformity	0.0532593
"storage tank"	0.0532579
"cardiovascular disease"	0.0531317
dyslexia	0.0528519
"heart muscle"	0.0525649
biceps	0.0523448
melanoma	0.0522548
Tb	0.0522037
pneumonia	0.0521526
lupus	0.0519321
"Lyme disease"	0.0513349
inflammation	0.0507859
emphysema	0.0505671
Alzheimer	0.0502161
tuberculosis	0.0499228
tract	0.0497239
STD	0.0496457
cuff	0.0495564
"muscular dystrophy"	0.0493345
eyesight	0.0491641
membrane	0.0486368
eyelid	0.0485967
anemia	0.0485421
neck	0.0484396
"coronary artery"	0.0482478
ailment	0.0480665
dementia	0.0479604
cholesterol	0.0478547
schizophrenia	0.0477371
vertebrae	0.0472939
"connective tissue"	0.0472668
"malignant tumor"	0.0472579
HIV	0.0472114
toenail	0.0470368
"heart attack"	0.0470156
hemorrhage	0.0469579
reflux	0.0468161
lobe	0.0467965
chest	0.0466279
pontoon	0.0464643
impairment	0.0463986
bloodstream	0.0461512
"Parkinson's disease"	0.0460061
heartburn	0.0457682
"brain stem"	0.0457433
"water main"	0.0455919
allergy	0.0455433
lymphoma	0.0454527
pelvis	0.0453853
trachoma	0.0453797
"order book"	0.0452643
parasite	0.0451468
autism	0.0450231
genital	0.0449986
"cystic fibrosis"	0.0448749
gum	0.0447263
"blood sugar"	0.044331
belly	0.0441798
skull	0.0439263
"heart condition"	0.0437909
marrow	0.043786
"hepatitis B"	0.0437251
"gas line"	0.0434435
diarrhea	0.0434043
mildew	0.0432286
psoriasis	0.0430891
"gas tank"	0.0430723
abscess	0.042991
reservoir	0.0428488
nuclei	0.0428337
liposuction	0.0424078
"blood clot"	0.0423006
"West Nile"	0.0420729
malaria	0.0420479
"nerve cell"	0.0419439
dysfunction	0.0419048
pipe	0.0418378
cavity	0.0418347
herpes	0.0418048
meniscus	0.0417549
triceps	0.0417044
))
(blade (desc 36204.8) (sims
knife	0.113654
propeller	0.0858769
pipe	0.0786151
wheel	0.0765424
stick	0.0762785
rod	0.0756297
shaft	0.0740874
disk	0.0685164
chisel	0.0684895
rotor	0.0666281
tube	0.0657666
nail	0.0654756
razor	0.0653373
needle	0.0636793
scissors	0.0636717
sword	0.0632866
tire	0.0623095
machete	0.0618879
antenna	0.0606099
cylinder	0.0600233
screwdriver	0.0600221
toothbrush	0.0599739
leaf	0.0595495
spatula	0.0594178
wire	0.0593901
ax	0.0586978
hose	0.0583583
stem	0.058149
bulb	0.0580281
teeth	0.0578068
glass	0.0576814
tail	0.0575098
motor	0.0567377
tile	0.0564917
piece	0.055919
slab	0.0559104
finger	0.0553271
engine	0.0548534
mower	0.0542939
dagger	0.0539792
stalk	0.0539752
metal	0.0530741
battery	0.0530427
object	0.0524147
frame	0.0518313
strap	0.0516178
valve	0.0511933
rib	0.0509802
fork	0.0509425
plastic	0.0508878
shard	0.0508198
bone	0.0508124
cloth	0.0507862
shovel	0.0507246
strip	0.0505927
bottle	0.0505522
"baseball bat"	0.0501722
mirror	0.0501137
fender	0.0499211
limb	0.0499049
brick	0.0497001
hook	0.0495337
claw	0.0495089
beam	0.0495075
shoe	0.0493135
pin	0.0492494
pot	0.0492354
Spoon	0.0490378
scalpel	0.0488336
plate	0.0488169
ball	0.0486377
"razor blade"	0.0484138
glove	0.048413
camera	0.0483383
fillet	0.048234
leg	0.0482296
axle	0.0481457
stone	0.0481414
rock	0.0480318
screw	0.0479622
tool	0.0479507
gun	0.0477893
spear	0.0477663
container	0.0476918
device	0.0475852
broom	0.0472384
pan	0.0472301
Hammer	0.047089
sheet	0.0469365
cord	0.0468487
nose	0.0468465
boot	0.0467737
knob	0.0466199
shutter	0.0464983
pencil	0.0464866
disc	0.0464672
fingernail	0.0464292
wall	0.0461997
box	0.0461226
spike	0.0460803
hair	0.0460331
toe	0.0458373
sensor	0.0458087
tray	0.0455144
surface	0.0454944
tank	0.0454505
bat	0.0453416
roof	0.0452178
Shell	0.0452167
dough	0.0451814
cutter	0.0451685
tortilla	0.0449696
pad	0.0449192
screen	0.04486
machine	0.0448406
arrow	0.0448282
wood	0.0448077
carpet	0.0447808
instrument	0.0447066
drum	0.0446171
rectangle	0.0446104
wedge	0.0445617
chair	0.044396
lamp	0.0442152
rope	0.0441956
bullet	0.0441863
utensil	0.0438678
staircase	0.0436874
jaw	0.0436863
wheels	0.0436768
chip	0.0436154
helmet	0.0435138
coil	0.0434417
Canopy	0.0434085
microphone	0.0433899
roller	0.043334
collar	0.0432582
skin	0.0432015
towel	0.0431793
flashlight	0.0430735
"hearing aid"	0.0429708
brush	0.0429601
cartridge	0.0429469
cube	0.0429463
steel	0.0428854
molding	0.0428198
crust	0.0427363
furniture	0.0427047
implant	0.0426597
equipment	0.0426553
skates	0.0423611
slice	0.0423535
grille	0.0421321
pole	0.042127
skull	0.0420458
bag	0.0419583
Cone	0.041918
tree	0.0418952
bucket	0.0418059
tongue	0.0417496
windshield	0.0417077
beak	0.041706
bead	0.041685
rudder	0.0416651
fuselage	0.0416338
wing	0.0416088
hull	0.0414951
log	0.0414496
lid	0.0413182
door	0.0409938
neck	0.0409845
suitcase	0.0409734
incision	0.0408163
mask	0.040808
washer	0.0407527
toy	0.0405979
saw	0.0405912
heater	0.0405792
pen	0.0405074
bowl	0.0403504
keyboard	0.0403503
ornament	0.0403402
grass	0.0403226
"steering wheel"	0.0401892
heel	0.0401252
twister	0.0400784
window	0.0400549
feet	0.04005
))
("Blade Runner" (desc 1795.35) (sims
"Animal House"	0.0988843
"L.A Confidential"	0.0957391
"Space Cowboys"	0.0879922
"Jurassic Park"	0.0830499
Moby-Dick	0.0798514
"chicken run"	0.0796845
"Coyote Ugly"	0.0793473
Tootsie	0.0790433
Goodfellas	0.0786039
Pinocchio	0.0782855
Girlfight	0.0766296
"Forrest Gump"	0.0756923
"rear window"	0.0751706
Stigmata	0.0747465
"Toy Story"	0.0743698
"Cruel Intentions"	0.0738779
Gladiator	0.0736337
"snake eyes"	0.0727534
"Citizen Kane"	0.071643
"Hollow Man"	0.070872
"wing commander"	0.0696075
"Nurse Betty"	0.069468
"Opium War"	0.0674658
"Boogie Nights"	0.0673462
"Jerry Maguire"	0.0661152
"Natural Born Killers"	0.0660633
"Titan A.E."	0.0627076
"Independence Day"	0.062256
Armageddon	0.0621007
"high noon"	0.0616781
U-@@@	0.0612222
Terminator	0.0603718
"Pulp Fiction"	0.0603062
Trainspotting	0.0602183
"Eyes Wide Shut"	0.0602158
psycho	0.0584882
"Dirty Dancing"	0.0584394
"Cradle Will Rock"	0.0583608
Hoosier	0.0582692
"Top Gun"	0.0576391
"Scary Movie"	0.0572718
potboiler	0.0572663
Thelma	0.0572427
showgirl	0.0566083
Ronin	0.0565224
X-MEN	0.0554327
"Smoke Signals"	0.0539272
extraterrestrial	0.0537111
Godzilla	0.0535303
"swing music"	0.0533172
Amadeus	0.0533072
Frankenstein	0.0531919
Exorcist	0.0528456
"Pretty Woman"	0.0525218
Evita	0.0524979
"Night Fever"	0.0521333
Bambi	0.0521291
utopia	0.0512281
"neutron star"	0.0505987
jaws	0.0500278
"pitch black"	0.0498498
UFO	0.0496089
ROUNDERS	0.0495609
Footloose	0.0491523
Schindler	0.0486785
RealPlayer	0.0484101
"Star Trek"	0.0481779
Latina	0.0479978
Rashomon	0.0477108
realpolitik	0.0473712
"South Park"	0.0472116
"King Kong"	0.0468801
Fantasia	0.0467595
"Fight Club"	0.0465432
"defense mechanism"	0.0465042
"American Pie"	0.0464519
desperado	0.0461316
Heidi	0.0460548
E.T	0.0459423
pi	0.0458792
"Double Jeopardy"	0.0455243
noir	0.0453389
"Get Real"	0.0452525
Casablanca	0.0450434
"Indiana Jones"	0.0448804
Hunchback	0.0448126
barbarian	0.0447656
"atom bomb"	0.0444542
"Central Station"	0.0444054
Pleasantville	0.0443595
Braveheart	0.0441234
"Mighty Joe Young"	0.0436792
Catch-@@	0.0431444
"Primary Colors"	0.0430178
EdTV	0.0430043
"DEEP BLUE SEA"	0.0425415
thesaurus	0.0424072
sport-utility	0.0422789
Jawbreaker	0.04222
"board game"	0.0421652
Futurama	0.0417456
"Being John Malkovich"	0.0416252
"Texas ranger"	0.0410907
Prilosec	0.0408945
anime	0.0407429
"Austin Powers"	0.0405629
"Peony Pavilion"	0.0402217
exoticism	0.040161
"Patch Adams"	0.040028
))
(blah (desc 3882.7) (sims
"sour grapes"	0.0559102
"stage fright"	0.0519013
"writer's block"	0.0513562
hibernation	0.0454206
"good story"	0.0430036
craziness	0.0425544
indigestion	0.0425404
tossup	0.0424946
homesickness	0.0422001
"bubonic plague"	0.0419687
letdown	0.0416339
thuggery	0.0400578
))
(Blaine (desc 1097.97) (sims
"Port Angeles"	0.106203
Bellingham	0.0968125
"Fort Lewis"	0.0905964
Yakima	0.0878689
Ely	0.0876485
Bellevue	0.0856321
Kabwe	0.0781544
Kirkland	0.0744708
Renton	0.07378
Charikar	0.0683916
Medina	0.0672367
"Jefferson City"	0.0652632
Longview	0.0646493
"Camp Pendleton"	0.0634165
Pullman	0.0620898
Leavenworth	0.0595061
Mosul	0.0591327
"King County"	0.0583242
Sang	0.0576802
Fenton	0.056165
Jacobsen	0.0560978
Blace	0.0547559
Sausalito	0.0545419
Farmington	0.0541983
Hanford	0.0538671
McAllen	0.0534931
Blyth	0.0528987
Waterville	0.0526809
"ST. Joseph"	0.0524505
Stansted	0.0524411
"Van Raaphorst"	0.0523248
LaGrange	0.0519872
Kitwe	0.0512948
Taloqan	0.0509333
Redding	0.0508746
Winchester	0.0502604
non-whites	0.0498238
Westbrook	0.0494935
"Oak Ridge"	0.0494924
"San Pedro Sula"	0.0492284
Fulton	0.0489879
Irbil	0.0483703
Covington	0.0482334
"Happy Valley"	0.047897
Ipoh	0.0477619
Kern	0.0473901
"Jackson County"	0.0469311
"Chad Morton"	0.0468843
Rodionov	0.0468828
Antioch	0.0465921
Midrand	0.0465815
Nago	0.0464459
Paducah	0.0456577
Mina	0.0456125
"Mike Van Raaphorst"	0.0455912
Klestil	0.0455003
Bloomington	0.0454177
Pugh	0.0452949
Tomko	0.0447746
Ruehe	0.0447458
Uniondale	0.0445234
Carollo	0.0444169
bethel	0.0443802
pillowcase	0.0443002
Manado	0.0442696
"Dick Jauron"	0.0442533
Cordova	0.043803
nonwhites	0.0437749
"Marin County"	0.0436876
Ndola	0.0434615
Lehane	0.0434158
Bergeron	0.0433341
Shareh	0.0429915
Arens	0.0428376
Ballymoney	0.0427969
Gulu	0.0426759
Ciampi	0.0422343
Ingraham	0.0422324
Skiles	0.0422121
Alioto	0.0420024
Hurley	0.0417908
"Nile Delta"	0.0417124
Hatfield	0.0415436
"Resistance Army"	0.0414158
Wendt	0.0413461
Chrissie	0.0412831
Schieffer	0.0411147
Sanford	0.041031
Markhasev	0.0409642
Gullikson	0.0409146
"De la Cruz"	0.0407927
"Southern Democrats"	0.0406797
McMichael	0.0406314
Darnell	0.0406098
Snead	0.0405933
MINEOLA	0.0404412
Lamar	0.040427
Podujevo	0.0403615
Alexis	0.040235
Lambright	0.0402165
"West Paducah"	0.0401875
"smart money"	0.0401834
al-Sahaf	0.0400789
))
("Blaine Wilson" (desc 1323.47) (sims
"Kristen Maloney"	0.254158
"Svetlana Khorkina"	0.22648
"Vanessa Atler"	0.224889
"Michael Doohan"	0.219067
"Elise Ray"	0.213943
"Alexei Nemov"	0.205262
"Todd Eldredge"	0.201919
"Ivan Ivankov"	0.18395
"Lu Yufu"	0.177981
"Xiong Ni"	0.17264
"Charles Austin"	0.164996
"Andreea Raducan"	0.163375
"Derrick Adkins"	0.161471
"Alexei Yagudin"	0.160162
"Gunda Niemann-Stirnemann"	0.158229
"Michael Weiss"	0.157408
"Fatuma Roba"	0.157073
"Paul Tergat"	0.156523
"Liu Xuan"	0.156357
"Miguel Indurain"	0.154844
Shuwei	0.153782
"Deon Hemmings"	0.151368
"Oksana Kazakova"	0.151084
"Allen Johnson"	0.149864
"Huang Xu"	0.149253
"Dominique Moceanu"	0.148448
"Maria Butyrskaya"	0.148026
"Penny Heyns"	0.143648
"Moses Tanui"	0.14263
"Chen Lu"	0.142084
"Gary Hall Jr."	0.141563
"Ge Fei"	0.1404
"Bayi Rockets"	0.139215
"Anatoly Karpov"	0.139067
"Fu Mingxia"	0.138335
"Le Jingyi"	0.138245
"Max Biaggi"	0.137254
"Johan Museeuw"	0.135939
"Marie-Jose Perec"	0.135403
"Kenny Brack"	0.135095
"Wang Yifu"	0.13349
"Eddie Cheever"	0.13257
"Jeff King"	0.132266
"Kong Linghui"	0.132259
"Denis Pankratov"	0.131783
"Colin McRae"	0.131606
"Pernilla Wiberg"	0.130578
"Claudia Poll"	0.13008
"Deborah Compagnoni"	0.129243
"Katja Seizinger"	0.128899
"John Godina"	0.128862
Khorkina	0.128656
"Jan-Ove Waldner"	0.127757
"Liu Guoliang"	0.12741
"Heryanto Arbi"	0.126639
"Anjelika Krylova"	0.126368
"Jacques Villeneuve"	0.126006
"Hermann Maier"	0.125791
"Laurent Brochard"	0.125358
"Jean-Philippe Gatien"	0.125158
"Amy van Dyken"	0.125018
Bayi	0.124962
"Alexander Popov"	0.124848
"Elena Berezhnaya"	0.124451
"Brooke Bennett"	0.123995
"Kieren Perkins"	0.123875
"Deng Yaping"	0.122926
"Tara Lipinski"	0.121461
"Michael Von Gruenigen"	0.12119
"Svetlana Masterkova"	0.120946
"Michael Klim"	0.12093
"Thomas Stangassinger"	0.11995
"Ivan Pedroso"	0.119192
"Alex Zanardi"	0.119003
"Hilde Gerg"	0.118776
"Jansher Khan"	0.118054
"Matt Kuchar"	0.117254
"Elvis Stojko"	0.116205
"Irina Slutskaya"	0.116145
"NBA All-Star"	0.116112
titlists	0.115901
"Tom Dolan"	0.115737
"Oliver McCall"	0.114318
"Guo Jingjing"	0.114099
"MIka Hakkinen"	0.114013
"Juan Montoya"	0.113628
"Irina Privalova"	0.113372
"Li Jiajun"	0.113327
"Roy Jones Jr."	0.112856
"Liselotte Neumann"	0.112181
"Shannon Miller"	0.112107
"Michelle Kwan"	0.110896
"Johnny Tapia"	0.110088
"Grant Hackett"	0.110046
"Cathy Freeman"	0.10987
"Dalian Wanda"	0.109535
"Tommi Makinen"	0.10906
"Simona Amanar"	0.108943
"Damon Hill"	0.10838
"Yu Zhuocheng"	0.108149
"Ato Boldon"	0.108052
"Peter Rasmussen"	0.107917
"Stacy Dragila"	0.107324
"Susie O'Neill"	0.107222
"Raymond Floyd"	0.107021
"Linford Christie"	0.106297
"Susi Susanti"	0.105948
"Rexy Mainaky"	0.105908
"Paulie Ayala"	0.105144
"Martina Ertl"	0.105012
"Dong Jiong"	0.104887
"Hale Irwin"	0.104743
"Alexei Urmanov"	0.104394
"HANK KUEHNE"	0.104227
"Ye Zhaoying"	0.103806
"Dan O'Brien"	0.103792
"Oksana Baiul"	0.103593
"Olin Browne"	0.103217
"Marco Pantani"	0.10311
"Mark Calcavecchia"	0.103069
"Kostya Tszyu"	0.102833
"Wang Tao"	0.102338
"Tegla Loroupe"	0.102268
"Rodney Eyles"	0.10215
"Felix Savon"	0.101738
"Tom Watson"	0.101367
"Donovan Bailey"	0.10117
"Paul Lawrie"	0.10097
"Rocky Marciano"	0.100717
"Abraham Olano"	0.100536
"Jubilo Iwata"	0.100105
"Juli Inkster"	0.100074
"Sandra Voelker"	0.0999526
"Jenny Thompson"	0.0997964
"Jorgen Persson"	0.0997325
"Marc Rosset"	0.0995627
"Buster Douglas"	0.099558
"Wang Junxia"	0.0992205
"Maurice Greene"	0.0986141
"Michael Johnson"	0.0984888
"Michael Andretti"	0.0981558
"Noureddine Morceli"	0.0980501
"Julius Francis"	0.0979897
"Chris Boardman"	0.0979318
"Liu Limin"	0.0978378
"Chicago Fire"	0.0976737
"Ricky Subagja"	0.09757
"Wilson Kipketer"	0.0972883
Obilic	0.0972209
"Candra Wijaya"	0.0971339
"Karrie Webb"	0.097034
"David Reid"	0.0969957
titlist	0.0969102
Doohan	0.0961202
"Gail Devers"	0.0961165
"Jimmy Vasser"	0.0960307
"Lasse Kjus"	0.0958155
"Gary Hall"	0.0956154
"Maria Mutola"	0.0955448
"Sonia O'Sullivan"	0.0951884
"Picabo Street"	0.095061
"Steve Elkington"	0.0950007
"Billy Boat"	0.0947291
"Favorite Trick"	0.0945399
"Pat Rafter"	0.0944038
"Peter Gade Christensen"	0.0943688
Karpov	0.094056
"Gabriela Szabo"	0.0935501
"Ian Thorpe"	0.0932806
"Sang Lan"	0.0932802
"Yang Yang"	0.0931459
"Frank Bruno"	0.0927481
"A.J Foyt"	0.092337
"Gil Morgan"	0.0919516
"Frank Nobilo"	0.0916611
"C.J Hunter"	0.0916059
"Bjorn Borg"	0.0913778
"Kinder Bologna"	0.0913734
"Mark O'Meara"	0.0912113
"Dominique Dawes"	0.0912112
"Scott Sharp"	0.0911509
"Corey Pavin"	0.0910712
Devers	0.0906162
"Pete Sampras"	0.0903665
"Doug Walker"	0.090156
"American Pete Sampras"	0.0900956
"Hiroyasu Shimizu"	0.0900447
"Michael Moorer"	0.0899282
"Khalid Khannouchi"	0.0896621
"Fiona May"	0.0896541
"Justin Leonard"	0.0894251
"Dale Earnhardt Jr."	0.0893953
Yagudin	0.0893731
"Garry Kasparov"	0.0890359
"Martin Schmitt"	0.089009
"Patrick Rafter"	0.0885332
"Jon Drummond"	0.0883672
"Dottie Pepper"	0.0881766
"Vijay Singh"	0.0880769
"Juha Kankkunen"	0.0874975
))
(Blair (desc 31915.5) (sims
"Tony Blair"	0.238557
Chirac	0.202142
Schroeder	0.185616
Albright	0.176885
Mandela	0.176534
Arafat	0.172489
Yeltsin	0.168284
Annan	0.168168
Barak	0.167598
Prodi	0.163279
Hashimoto	0.163082
Jospin	0.161406
Kohl	0.160841
Chretien	0.160674
Netanyahu	0.15948
Cohen	0.158527
Ahern	0.156664
Obuchi	0.156494
Primakov	0.155125
Jiang	0.154836
Mbeki	0.153868
Zhu	0.152958
Aznar	0.151425
Mubarak	0.14981
Mugabe	0.148328
Menem	0.1479
Chuan	0.146472
Zedillo	0.14637
Wahid	0.144932
Putin	0.144686
Trimble	0.144513
Tung	0.144235
Sharif	0.142719
Kuchma	0.142702
Mori	0.141975
Mahathir	0.141079
Estrada	0.141015
Clinton	0.138904
Ecevit	0.138347
Vajpayee	0.137892
Peres	0.137846
Solana	0.137625
Lukashenko	0.136375
Aziz	0.136348
Ivanov	0.136273
"Ehud Barak"	0.136194
"Benjamin Netanyahu"	0.134793
Lott	0.134564
Simitis	0.132098
Chernomyrdin	0.13169
"John Major"	0.131591
Chancellor	0.131024
D'Alema	0.130914
"Atal Bihari Vajpayee"	0.130172
Dini	0.128932
Kharrazi	0.128537
"William Cohen"	0.128397
Museveni	0.128206
Kim	0.127804
Khatami	0.127465
"Keizo Obuchi"	0.127354
"Binyamin Netanyahu"	0.127351
Kok	0.127281
Wolfensohn	0.127239
Nazarbayev	0.126
"Jean Chretien"	0.125961
Chiluba	0.125586
Goh	0.125506
"John Howard"	0.125349
Mkapa	0.124906
"Lionel Jospin"	0.124625
Hariri	0.124441
Fischer	0.124233
Clerides	0.124146
Sergeyev	0.1241
Moi	0.123492
"secretary of state"	0.123437
Denktash	0.123431
"Bertie Ahern"	0.122948
"Chuan Leekpai"	0.122923
Assad	0.122873
Qian	0.122845
Vedrine	0.122714
Pastrana	0.122304
"Romano Prodi"	0.122047
Li	0.122047
Hasina	0.121891
"Yevgeny Primakov"	0.12131
Weizman	0.120624
Hastert	0.120266
Kinkel	0.120222
Nujoma	0.120035
Rugova	0.11998
"Hun Sen"	0.119587
Pangalos	0.119584
Cardoso	0.118565
Chavalit	0.11847
Rakhmonov	0.118098
Giuliani	0.117521
"Ryutaro Hashimoto"	0.117235
Samaranch	0.11695
"Nawaz Sharif"	0.116848
Ikeda	0.115888
Barshefsky	0.11588
Abubakar	0.115647
Komura	0.115096
Meles	0.114856
Castro	0.114789
Moussa	0.114785
Berger	0.114776
Gephardt	0.114124
Howard	0.113889
Gingrich	0.113532
Ramos	0.113285
"de Charette"	0.113166
Gujral	0.113024
Talbott	0.11268
gore	0.112632
Stoyanov	0.112518
Cem	0.112119
Alatas	0.112109
"John Bruton"	0.111838
Holbrooke	0.111687
"Goh Chok Tong"	0.111616
Lieberman	0.111574
Zuma	0.111532
Kiriyenko	0.111008
Shipley	0.110777
Velayati	0.110612
Pataki	0.110409
Demirel	0.110202
Deuba	0.110029
"Kofi Annan"	0.110028
Mordechai	0.109903
Constantinescu	0.109879
"Javier Solana"	0.109725
Habibie	0.109425
Reno	0.109119
Phieu	0.108772
Daschle	0.108742
Hu	0.108629
Chen	0.108572
Chissano	0.108404
"Mahathir Mohamad"	0.108287
Klima	0.107867
Tsang	0.107687
Chavez	0.107677
Santer	0.107576
Abdullah	0.107365
"President Kim Dae-jung"	0.106891
Bush	0.106854
Rubin	0.106661
"Atal Behari Vajpayee"	0.106459
Stepashin	0.106254
DOLE	0.106235
"Jose Maria Aznar"	0.10512
Obasanjo	0.105092
Ahtisaari	0.104619
Hyde	0.10457
Greenspan	0.104408
President	0.104194
Richardson	0.104187
Camdessus	0.104017
Ogata	0.10376
Ross	0.103709
"Costas Simitis"	0.103303
Shevardnadze	0.103258
Kostov	0.103179
Rifkind	0.103033
Schuessel	0.102366
"Li Peng"	0.102281
pope	0.102196
Gaddafi	0.101799
Yilmaz	0.101766
Adams	0.101661
Daley	0.101619
Jayakumar	0.101179
"Shimon Peres"	0.101026
Bradley	0.100911
Shareh	0.100618
Milosevic	0.100486
Fujimori	0.100387
Abdel-Meguid	0.100372
Cellucci	0.100085
Gadhafi	0.100013
"Chavalit Yongchaiyudh"	0.0999889
Majali	0.0999759
"Yoshiro Mori"	0.099882
Saleh	0.0998335
Guterres	0.0997851
"King Hussein"	0.0994169
Juppe	0.0992305
Frei	0.0991508
Koo	0.0990851
"Mesut Yilmaz"	0.0989929
Lahoud	0.0987994
Banharn	0.0987582
Dehaene	0.098692
Erbakan	0.09867
"Phan Van Khai"	0.0984585
))
("Blair House" (desc 1380.52) (sims
"U.N. Headquarters"	0.220656
"Plaza Hotel"	0.166903
"Waldorf-Astoria Hotel"	0.159759
"Diaoyutai State Guesthouse"	0.157769
Stormont	0.126377
"Elysee Palace"	0.119827
Erez	0.111958
Panmunjom	0.101492
Zhongnanhai	0.0997419
Waldorf-Astoria	0.094919
"Entebbe International Airport"	0.0927931
"Hilton Hotel"	0.0918818
"Great Hall"	0.0917635
"Convention Center"	0.084137
"Ritz-Carlton Hotel"	0.0835782
"Miami Arena"	0.0820917
"Wye Plantation"	0.0809854
"Presidential Palace"	0.0790024
"Russian Duma"	0.0779565
"Federal Council"	0.076733
"Andrews Air Force Base"	0.0750911
"conference center"	0.0729608
"Parliament House"	0.0704745
"Lambeth Conference"	0.0701142
"about @@:@@"	0.0698674
"Seasons Hotel"	0.0693078
"military headquarters"	0.0686133
"Wye River Plantation"	0.0681111
"Central Clinical Hospital"	0.0668827
"Harare International Airport"	0.0667002
"about @:@@"	0.0659524
"Holiday Inn"	0.064657
"Fleet Center"	0.0646361
"Tokyo Dome"	0.0640004
Bundestag	0.0633287
a.m.	0.0614557
"Dartmouth College"	0.0602147
"Johannesburg International Airport"	0.0597295
"Marine Midland Arena"	0.0593104
"Shrine Auditorium"	0.0590839
EST	0.0590589
"Sanford Stadium"	0.0578503
Ritz-Carlton	0.0576966
"Russian State Duma"	0.0568233
"Olympic Park"	0.0566548
"Buckingham Palace"	0.0563747
RAMBOUILLET	0.0558312
"Wedgwood Baptist Church"	0.0557556
"Turkish Embassy"	0.0548867
"navy yard"	0.0545802
Montauk	0.0540432
"Federal Reserve Bank of New York"	0.0525655
"local time"	0.052399
dacha	0.0521005
Westin	0.0520308
"about @.@@"	0.0519943
"Downing Street"	0.0519122
Shepherdstown	0.0512746
"Kyle Field"	0.0510847
midcourt	0.0502048
"Lincoln Memorial"	0.0501909
Baikonur	0.049632
"polling booth"	0.0495241
"Sheraton Hotel"	0.0494103
"O'Hare International Airport"	0.0493722
"Arlington National Cemetery"	0.0490055
"John F. Kennedy Library"	0.0488397
"Ben-Gurion Airport"	0.0479766
"Kuala Lumpur International Airport"	0.0467296
Storrs	0.0465412
"Potala Palace"	0.0456486
Chengde	0.0452158
www	0.045022
"Royal Palace"	0.0446464
"Foxboro Stadium"	0.0446263
"Alice Tully Hall"	0.0437547
campgrounds	0.0436971
"World Trade Center"	0.0435419
"Victoria Falls"	0.0430921
Monticello	0.0429772
"Valley Ranch"	0.0427666
"Trans World Dome"	0.0427316
"Johnson Space Center"	0.0418682
"Caesars Palace"	0.0417712
Grambling	0.0413181
"Wembley Stadium"	0.0409246
Dodgertown	0.0408513
"National Press Club"	0.0408228
"Union Station"	0.0401534
))
("Blair Witch" (desc 4932.71) (sims
"Blair Witch Project"	0.146594
"Toy Story"	0.110238
"Stuart Little"	0.102445
"South Park"	0.10093
"Double Jeopardy"	0.0996198
"Phantom Menace"	0.0967377
"sixth sense"	0.0967287
"Iron Giant"	0.0900128
"Star Wars"	0.0898268
"American Beauty"	0.0883581
"Eyes Wide Shut"	0.0872395
Antz	0.0871728
"Smoke Signals"	0.0870378
Tarzan	0.0845593
"Love Bug"	0.0828155
Matrix	0.0818584
"Toy Story @"	0.0806252
"Austin Powers"	0.0803072
Waterboy	0.0770279
Dolittle	0.0766142
"Green Mile"	0.0764749
"Erin Brockovich"	0.0764205
Pokemon	0.0760678
X-MEN	0.0754841
"Saving Private Ryan"	0.0754558
"American Pie"	0.0752
"DEEP BLUE SEA"	0.0750702
"Sleepy Hollow"	0.0739073
Rugrats	0.0722991
"Fight Club"	0.071506
Godzilla	0.0699285
"Runaway Bride"	0.069722
"Jesse James"	0.068709
"Civil Action"	0.0680319
"Get Real"	0.0679249
"Patch Adams"	0.0674928
Titanic	0.0659667
Batman	0.0652711
"Life Is Beautiful"	0.0649565
"Sports Night"	0.0648073
"Jekyll and Hyde"	0.064115
"chicken run"	0.0640902
Armageddon	0.0639758
Bulworth	0.0630303
Mulan	0.0620862
"Harry Potter"	0.0612394
"Who Wants to Be a Millionaire"	0.0612233
psycho	0.0611706
"Impossible @"	0.0608987
Oedipus	0.0608291
"Truman Show"	0.0607054
"Star Trek"	0.0600255
Felicity	0.0588304
"Ally McBeal"	0.058548
Zorro	0.0584539
"Peking Opera"	0.0584392
X-Files	0.0580136
"Very Bad Things"	0.0576934
McKellen	0.0569925
"Wild Wild West"	0.0569647
"comic book"	0.0569484
Muppets	0.0568852
prequel	0.0565945
Teletubbies	0.0560882
Frankenstein	0.0558282
"Thomas Crown Affair"	0.0552958
pi	0.0551832
witch	0.0545544
Trainspotting	0.0543498
"Cider House"	0.0543319
"Thin Red Line"	0.0541819
ragtag	0.0541548
"King Arthur"	0.0541423
"Princess Mononoke"	0.054034
"Being John Malkovich"	0.0536215
"BUENA VISTA SOCIAL CLUB"	0.0532264
UFO	0.0530805
"Tom Osborne"	0.053048
blockbuster	0.0527877
"Ideal Husband"	0.0527683
Pinocchio	0.0527334
Grisham	0.0526813
"game show"	0.0526346
"Robin Hood"	0.0525967
Rushmore	0.0525389
Dracula	0.0524951
Dilbert	0.0524664
Ronin	0.0523272
Porno	0.0523034
Footloose	0.0521604
"Big Daddy"	0.0521366
"Notting Hill"	0.052083
Bigfoot	0.0518983
"Citizen Kane"	0.0518426
"Cider House Rules"	0.0517221
avenger	0.051671
ragtime	0.0516118
Garth	0.0512356
"Full Monty"	0.0511587
"Central Station"	0.0510302
Springsteen	0.0509232
"Lethal Weapon @"	0.0508683
Blondie	0.0506841
"feature film"	0.0506803
"Melrose Place"	0.0504824
"Beanie Baby"	0.0502102
"silent movie"	0.0501904
"King Kong"	0.0500384
LIMEY	0.0500373
Lolita	0.0498528
"James Bond"	0.0497056
"Cosby Show"	0.0491802
Camelot	0.0491448
Seinfeld	0.0489414
Airstream	0.0486709
Pooh	0.0485421
"Lion King"	0.0485004
"Perfect Storm"	0.0483645
Boomerang	0.0479726
"Murphy Brown"	0.0476386
Riverdance	0.0476037
Halloween	0.0473974
"Deep Impact"	0.047394
Everest	0.0469841
potter	0.046789
Furby	0.0467802
"Rugrats Movie"	0.0467215
"Scream @"	0.0467209
"Jerry Maguire"	0.0466721
Simpsons	0.0466696
"Little Voice"	0.0463295
"Lilith Fair"	0.0463068
"Apt Pupil"	0.0462238
"American South"	0.0459138
"Sesame Street"	0.0458195
mummy	0.0457905
IMAX	0.0457762
"Mickey Blue Eyes"	0.0456926
horse-trading	0.0455296
Lilith	0.0454814
"Private Ryan"	0.0454674
Madeline	0.0453962
"Nurse Betty"	0.0452194
Shakespeare	0.0450332
EdTV	0.0449966
"Forrest Gump"	0.0449932
Catch-@@	0.0449931
Hunley	0.0449847
Spider-Man	0.044853
anime	0.0447887
"Pretty Woman"	0.0447312
Terminator	0.0447272
tango	0.044622
"Hello Kitty"	0.0446001
vampire	0.0444957
"Science City"	0.044495
"New Beetle"	0.0444734
Gladiator	0.044456
AMC	0.0442835
Amistad	0.0442621
Woodstock	0.0442235
"Don Quixote"	0.043973
"Rat Pack"	0.043897
"Beanie Babies"	0.0438538
Bech	0.0438422
Beatle	0.0437654
AFL	0.0436834
Oprah	0.0434456
"Sherlock Holmes"	0.0433514
Powerball	0.0433041
entrapment	0.0432034
"rock 'n' roll"	0.0431182
Archie	0.0429228
"El Nino"	0.0426591
"Howdy Doody"	0.0425893
Costner	0.0425528
Girlfight	0.0425524
"Cruel Intentions"	0.0425131
geeky	0.042409
"Cliffs Notes"	0.0422815
"Howard Stern"	0.0422292
"wild West"	0.0420784
EDS	0.0420716
"comic strip"	0.0419932
"Joe Camel"	0.0419672
"holy man"	0.0418595
"Meet Joe Black"	0.0417382
Frasier	0.0417361
er	0.0414392
Hedwig	0.0413938
Americorps	0.0413834
"Judy Garland"	0.041383
"Spice Girls"	0.0413628
indie	0.041207
Selena	0.0412009
"Peter Pan"	0.0410513
Grambling	0.0408521
mammography	0.0407816
"Dell Computer Corp."	0.0407071
"Galaxy Quest"	0.0406527
))
("Blair Witch Project" (desc 6782.18) (sims
"American Pie"	0.158334
"Blair Witch"	0.146594
"Wild Wild West"	0.142487
"sixth sense"	0.140014
"Thomas Crown Affair"	0.139475
"Double Jeopardy"	0.134953
Matrix	0.134567
"American Beauty"	0.132245
"Eyes Wide Shut"	0.129799
"Phantom Menace"	0.124273
"Stuart Little"	0.12095
"DEEP BLUE SEA"	0.118984
"BUENA VISTA SOCIAL CLUB"	0.114656
"Green Mile"	0.113974
"Runaway Bride"	0.113188
"Fight Club"	0.110795
"Saving Private Ryan"	0.11009
"Iron Giant"	0.109812
"Erin Brockovich"	0.109729
"Notting Hill"	0.108632
"Smoke Signals"	0.107293
"Civil Action"	0.106535
"Cruel Intentions"	0.102793
"Patch Adams"	0.10238
"Being John Malkovich"	0.101109
"Space Cowboys"	0.0991439
"chicken run"	0.0962481
entrapment	0.0961559
"Cider House Rules"	0.0959069
"Thin Red Line"	0.0955774
"Big Daddy"	0.0954871
Tarzan	0.0944889
"Inspector Gadget"	0.0938584
"Random Hearts"	0.0934792
Rushmore	0.0934091
"Toy Story @"	0.0908371
"Toy Story"	0.0886283
"Usual Suspects"	0.087418
"high fidelity"	0.0863192
Antz	0.0862473
"Varsity Blues"	0.0862008
"Sleepy Hollow"	0.0858094
"Hollow Man"	0.0855944
Waterboy	0.0854404
Stigmata	0.0842538
Armageddon	0.0831198
"Perfect Storm"	0.0827436
"Star Wars"	0.0819372
"Truman Show"	0.0812928
low-budget	0.0792485
"Mod Squad"	0.0759776
Gladiator	0.0757141
U-@@@	0.0754943
"Mickey Blue Eyes"	0.0740585
"Beauty Queen"	0.0738803
"Scream @"	0.0732489
X-MEN	0.0730162
"pitch black"	0.0713089
psycho	0.0705884
"Apt Pupil"	0.0696912
Bowfinger	0.0695479
"Impossible @"	0.0685724
"South Park"	0.0682559
Ronin	0.0681779
"Princess Mononoke"	0.0680851
"Simple Plan"	0.0671221
"Jerry Maguire"	0.0661302
payback	0.065849
"Little Voice"	0.0657558
Titanic	0.0657284
"Central Station"	0.0655997
"Ideal Husband"	0.0649283
"Austin Powers"	0.0639099
LIMEY	0.0634708
"Scary Movie"	0.0629313
"Straight Story"	0.0626198
"Life Is Beautiful"	0.0598602
"New Beetle"	0.0597695
"Titan A.E."	0.0591844
prequel	0.0582871
"Full Monty"	0.0581277
Magnolia	0.057131
Hurlyburly	0.0569852
"Velvet Goldmine"	0.0567337
"American Psycho"	0.0565956
"Nurse Betty"	0.0564432
mummy	0.0563057
"Got Mail"	0.0562426
Simpsons	0.0561646
Rugrats	0.0556589
Mulan	0.0553899
X-Files	0.0552395
affliction	0.0552254
Pleasantville	0.0549025
"Galaxy Quest"	0.054801
"Deep Impact"	0.0547278
EdTV	0.0546766
"Cosby Show"	0.0536773
"Lion King"	0.0536318
Muppets	0.0533363
"Opium War"	0.0532023
Mumford	0.052872
Bulworth	0.0527654
"Dudley Do-Right"	0.052559
"best man"	0.0523824
Dolittle	0.0520917
"Starr Report"	0.0520564
Irene	0.0520364
"Meet Joe Black"	0.0519907
Batman	0.0519629
"Get Real"	0.0519354
"Ally McBeal"	0.0517103
"wonder boy"	0.051543
"Forrest Gump"	0.0513333
thriller	0.0512193
sequel	0.0509369
Amistad	0.0500745
"Parent Trap"	0.0496015
"Perfect Murder"	0.0495822
"Lethal Weapon @"	0.0492159
"Rugrats Movie"	0.0491877
stepmom	0.0491836
Pokemon	0.048846
"Star Trek"	0.0485308
"Sesame Street"	0.0483786
blockbuster	0.0483095
"Mighty Joe Young"	0.0482273
"Pulp Fiction"	0.0480477
"wing commander"	0.047838
Madeline	0.0477452
Godzilla	0.0475701
Lolita	0.0474267
out-of-towners	0.0470645
Baywatch	0.0465484
"Night Fever"	0.0461764
Halloween	0.0460984
dogma	0.0460573
Felicity	0.0459614
"Been Kissed"	0.0456568
Escobar	0.0449684
"Lake Placid"	0.0447865
"Red Violin"	0.0447359
"The Sopranos"	0.0447147
governess	0.0445
"Who Wants"	0.0444295
ripley	0.0443055
"Harry Potter"	0.0442998
wonderland	0.0442951
trilogy	0.0442549
"True West"	0.0436345
"wild West"	0.0435911
Malcolm	0.0430635
"Pretty Woman"	0.0426077
Selena	0.0425593
"Howdy Doody"	0.0425588
"Jurassic Park"	0.0425101
pi	0.0423453
"English Patient"	0.0423447
"Blue Room"	0.0417512
"L.A Confidential"	0.0415039
"nine yards"	0.0414859
"Animal House"	0.0410599
"Swan Lake"	0.0409831
"love letter"	0.0408895
simpatico	0.0407855
Seinfeld	0.0405205
"TV program"	0.0400258
))
(Blake (desc 12513.7) (sims
Stumpel	0.138567
Audette	0.116026
Smolinski	0.114831
Robitaille	0.104191
Yzerman	0.101962
Lindros	0.100442
Tkachuk	0.0998435
Hatcher	0.0983947
Norstrom	0.0980423
Cunningham	0.097082
"Jozef Stumpel"	0.095936
Palffy	0.0956195
Leetch	0.0955903
Aikman	0.0929076
Jagr	0.0917513
Primeau	0.0910665
ALLISON	0.089279
Bourque	0.0886718
"Rob Blake"	0.0871371
Duchesne	0.0868232
Elliott	0.0867299
McSorley	0.0854098
Garrett	0.0848148
Laudrup	0.0844419
O'Donnell	0.0835635
Messier	0.083342
Andreychuk	0.0830495
Johnson	0.0830449
Ramirez	0.0825569
Testaverde	0.0823878
Murray	0.0805283
Chmura	0.0804042
Ferguson	0.0803451
Faulk	0.0803353
Fleury	0.0802744
murphy	0.0802265
Plummer	0.0801007
Hardaway	0.079941
Gilmour	0.0797246
Flutie	0.0797115
Nolan	0.0793431
Vaughn	0.079306
Kelly	0.0791524
Lett	0.0789662
Peca	0.078714
Mitchell	0.0785128
Gretzky	0.0783988
Swann	0.0780939
Maradona	0.0780173
Bergkamp	0.0775073
Reichel	0.0773855
Carroll	0.0773459
Weinke	0.0772213
Foley	0.0765492
Anderson	0.0764129
Olsen	0.0759693
Bure	0.0759268
Stevens	0.0754543
Ripken	0.0751103
Stewart	0.0749059
"Luc Robitaille"	0.0748921
Mcbride	0.0748905
Rogers	0.0748515
Brunell	0.0748416
Cole	0.0744609
Burke	0.0744242
Williams	0.0743789
Roenick	0.0741275
Ellis	0.0740582
Abdur-Rahim	0.074025
Thomas	0.0739559
Plante	0.0738344
Bonilla	0.073567
Keenan	0.0734617
Miller	0.0734044
Ewing	0.0733905
smith	0.0731657
Manning	0.0731482
Kramer	0.0731358
Sheppard	0.0730403
Brock	0.0729571
Carter	0.0727444
Olowokandi	0.0725906
Thompson	0.072521
Brady	0.0723572
Robinson	0.0723241
Daly	0.0721668
Roberts	0.0720484
collins	0.0719592
MARBURY	0.0717974
Dafoe	0.0717874
Terry	0.0716764
Harbaugh	0.0716072
Rodriguez	0.0715049
Gorter	0.0714804
Bledsoe	0.0714587
"Bryan Smolinski"	0.0714053
Gonzalez	0.0713658
Avery	0.0710953
Marino	0.0710398
Malone	0.0710255
Ditka	0.0709996
Kariya	0.0709352
Modano	0.0709241
Casey	0.070902
Grbac	0.0706506
Woolley	0.0705001
Yashin	0.0703779
Hoffman	0.0703436
Brandon	0.0703351
Hundley	0.0703246
Chandler	0.0702889
Muckler	0.0702489
Allen	0.0702402
Niedermayer	0.0702042
McDyess	0.0701581
Howe	0.070107
"Eric Lindros"	0.0700065
Goldstein	0.0700053
Kidd	0.0698998
Finley	0.0698445
Gomez	0.0698287
Kluivert	0.0697137
Bryant	0.0697085
Huard	0.0695237
Taylor	0.0695164
Johnston	0.0692574
Meissner	0.0692398
Gooden	0.0692075
Sanders	0.0690666
Forsberg	0.0690085
Lemieux	0.0689033
"Glen Murray"	0.0686835
Nedved	0.0684877
Ainge	0.0682448
Watson	0.0682332
Lucas	0.068185
WARRICK	0.0681808
fisher	0.0679623
Barkley	0.0679496
Stoudamire	0.0679385
Sprewell	0.0678923
Wilson	0.0678581
martin	0.0676971
Fiset	0.067634
Carbonneau	0.0675961
Berenson	0.0675702
drake	0.0674375
Sakic	0.0674326
Olajuwon	0.0674063
Dixon	0.0673988
Goldberg	0.067345
Holmgren	0.0673044
Webber	0.0672215
Larkin	0.0672003
McGinest	0.06717
Hargrove	0.0670734
Clark	0.0670291
Pierce	0.0669109
Parcells	0.0668513
Graham	0.0668222
Fernandez	0.0668025
Langenbrunner	0.0667565
Gutierrez	0.0667455
Hackett	0.0666022
Zidane	0.0666009
Pippen	0.0665555
Phillips	0.0664952
Irwin	0.0664926
Alou	0.0664691
Brister	0.066367
Schilling	0.0663403
Ellison	0.0662311
Gregory	0.0661843
Richter	0.066142
Laettner	0.0660909
Knoblauch	0.0660848
Walsh	0.0660066
Cooper	0.0659768
Schneider	0.0658527
Popovich	0.0657913
Francis	0.065781
LeClair	0.0657505
Evans	0.0657315
Alvarez	0.0657003
Galarraga	0.065694
Roy	0.0656445
Lehtinen	0.065515
Rodman	0.0654729
Webb	0.0654304
Scott	0.0653939
Schwarz	0.0653495
fuller	0.0653007
Henderson	0.0652858
Palmer	0.0652518
Kerr	0.0652423
Coleman	0.0652233
Mobley	0.0652029
Gwynn	0.0650893
Macdonald	0.0650624
))
("Blake Sloan" (desc 2410.77) (sims
"Kirk Muller"	0.407547
"Brian Skrudland"	0.399336
"Brenden Morrow"	0.344879
"Jamie Langenbrunner"	0.320779
"Pat Verbeek"	0.320101
"Dave Reid"	0.306424
"Jere Lehtinen"	0.304393
"Mike Keane"	0.300846
"Grant Marshall"	0.273088
"Aaron Gavey"	0.271842
"Craig Ludwig"	0.255143
"Guy Carbonneau"	0.245657
"Richard Matvichuk"	0.244804
"Benoit Hogue"	0.238982
"Scott Thornton"	0.238308
"Jon Sim"	0.2367
"Joe Nieuwendyk"	0.228543
"Brett Hull"	0.223431
"Mike Modano"	0.216264
"Derian Hatcher"	0.191495
"Shawn Chambers"	0.184133
"Sergei Zubov"	0.180914
"Tony Hrkac"	0.179687
"Derek Plante"	0.176003
"Milan Hejduk"	0.150725
"Matthew Barnaby"	0.146326
"Darryl Sydor"	0.143912
"Nelson Emerson"	0.143633
"Theo Fleury"	0.136977
"Bill Guerin"	0.136664
"Pavol Demitra"	0.135435
"Ziggy Palffy"	0.130658
Langenbrunner	0.126365
"Todd Harvey"	0.125319
"Greg Adams"	0.124297
"Geoff Sanderson"	0.123729
"Tony Amonte"	0.123027
"Jarvis Turner"	0.122438
"Dixon Ward"	0.120273
"Mike Sullivan"	0.120217
"Harry Kewell"	0.119265
"Dave Andreychuk"	0.118286
"Alexander Mogilny"	0.11825
"Brendan Shanahan"	0.11659
"Rick Tocchet"	0.116489
"Manny Fernandez"	0.115096
"Olli Jokinen"	0.114701
"Jumaine Jones"	0.114159
"Kenny Thomas"	0.113446
"Shane Doan"	0.112039
"Dallas Drake"	0.110849
"Landon Wilson"	0.110249
"Grant Long"	0.109669
"Keith Tkachuk"	0.107174
"Alexei Kovalev"	0.106594
"Darren McCarty"	0.105087
"Ted Donato"	0.104909
"Jeremy Roenick"	0.104701
"Shawn Marion"	0.104116
Lehtinen	0.104064
"Dale Hunter"	0.103922
"Adam Deadmarsh"	0.1037
"Raef LaFrentz"	0.103661
"Predrag Mijatovic"	0.103522
"Jaromir Jagr"	0.103482
"Jeff Friesen"	0.103261
"Matt Harpring"	0.10234
"Wendel Clark"	0.102252
"Brian Skinner"	0.102247
"ZIGMUND PALFFY"	0.102079
"Owen Nolan"	0.101612
"Richard Jefferson"	0.100687
"Gabe Muoneke"	0.0993189
"Claude Lemieux"	0.0989305
"Hao Haidong"	0.0975568
"Donald Audette"	0.0975291
"Craig Johnson"	0.0974071
"Tamika Catchings"	0.0969846
"Chris Porter"	0.0957517
Carbonneau	0.0957316
"Rob DiMaio"	0.0956715
"Brian Laudrup"	0.0951186
"Chris Crawford"	0.0949535
"Alen Boksic"	0.0947461
"Corliss Williamson"	0.0944427
"Dejan Savicevic"	0.0937019
"Glen Murray"	0.0935057
"Robert Traylor"	0.0932935
"Pavel Bure"	0.0931833
"Stern John"	0.0926082
"Mike Miller"	0.092227
"Kenyon Martin"	0.0921947
"Anson Carter"	0.0921021
Sydor	0.0918842
"Ante Razov"	0.0917973
"Steve Thomas"	0.0914868
"Peter Forsberg"	0.0912761
"Matt Johnson"	0.0908902
"Tyrone Nesby"	0.090888
"Steve Heinze"	0.090322
"Mark Madsen"	0.0899622
"Kris Clack"	0.0897922
"Chris Taylor"	0.0896882
"Faustino Asprilla"	0.0896738
"Jason Kapono"	0.0894213
"Teemu Selanne"	0.0893125
"Joe Juneau"	0.0892917
"Lamond Murray"	0.0888378
"Ruben Patterson"	0.0888276
"Hidetoshi Nakata"	0.0883408
"Valeri Kamensky"	0.0881178
"Rashard Lewis"	0.0876844
"Chris Drury"	0.0873309
"Juha Ylonen"	0.0869301
"Cedric Ceballos"	0.0867974
Nieuwendyk	0.0865462
Modano	0.0863914
"Donyell Marshall"	0.0860254
"Ken Belanger"	0.0858135
"Ryan Giggs"	0.0857511
"Hu Weidong"	0.0844893
"Gary Roberts"	0.0841212
"Michael Finley"	0.0832553
"Ron Artest"	0.0832319
"Lee Nailon"	0.0824739
"Shane Battier"	0.0823021
"Sergei Fedorov"	0.0821787
"Marcus Fizer"	0.0820436
"DeLisha Milton"	0.0820344
"Igor Larionov"	0.0817938
"Luis Figo"	0.0816299
"Jason Allison"	0.0813601
"Dirk Nowitzki"	0.0811418
"Chris Carrawell"	0.0809439
"Patrik Elias"	0.0802991
"Theo Ratliff"	0.0801423
"Brian Scalabrine"	0.0801324
"Michael Wright"	0.0800334
"Wally Szczerbiak"	0.079812
"Tore Andre Flo"	0.0796876
"Alexei Yashin"	0.0796205
"Paul Kariya"	0.0796198
"Paul Pierce"	0.079442
Verbeek	0.079219
"Alan Henderson"	0.0789527
"Donald Brashear"	0.0785694
"Gary Trent"	0.0784658
"Joe Murphy"	0.0784044
"Rebecca Lobo"	0.078353
"Aaron Williams"	0.0781452
"Antawn Jamison"	0.0771166
"Kevin Freeman"	0.0767271
"Juwan Howard"	0.0767058
"Rodney Rogers"	0.076491
"P.J Axelsson"	0.0760011
"Chamique Holdsclaw"	0.0758494
"Nwankwo Kanu"	0.0758137
"Sun Wen"	0.0757138
"Walt Williams"	0.0756449
"Thierry Henry"	0.0755833
"Cobi Jones"	0.0754947
"Morris Peterson"	0.0754009
"Carlos Hermosillo"	0.0753576
"Ali Daei"	0.0753106
"Keith Van Horn"	0.0751449
"Jamal Mashburn"	0.0750474
"Niklas Sundstrom"	0.0747102
"Brad Isbister"	0.0742538
"Marc Overmars"	0.073683
"Sam Clancy"	0.0736773
Grbac	0.0734868
"Dominique Wilkins"	0.0731762
"Steve McManaman"	0.0730615
"Sheryl Swoopes"	0.0729303
"JaRon Rush"	0.0728394
"Anthony Mason"	0.0725958
Keane	0.0725129
"Pat Garrity"	0.0724762
"Bryon Russell"	0.0721516
"Roman Turek"	0.0719438
Matvichuk	0.0719316
"Khodadad Azizi"	0.0719113
"Lamar Odom"	0.0718393
"Maurice Taylor"	0.0718366
"Luc Robitaille"	0.0717749
"Othella Harrington"	0.0717678
"Alessandro Del Piero"	0.0715492
"Ed Belfour"	0.0714468
"Joe Sakic"	0.0714351
"Sergei Samsonov"	0.0712858
"Keith Jones"	0.071201
"Adrian Ilie"	0.0711842
"Brian McBride"	0.0711588
"Clifford Robinson"	0.0710208
"Ronald de Boer"	0.0707521
"Detlef Schrempf"	0.0707064
"Jason Arnott"	0.0706099
"Richard Hamilton"	0.0705069
Sloan	0.0703259
"Matt Bullard"	0.0702412
))
(blame (desc 35386.4) (sims
responsibility	0.14445
scapegoat	0.112965
explanation	0.100778
reason	0.0988863
amends	0.0880364
onus	0.0818637
justification	0.0814729
excuse	0.0802047
culpability	0.0792537
liability	0.0745185
potential	0.072716
punishment	0.0719841
guilt	0.0716125
credit	0.0685248
apology	0.0652489
criticism	0.0651891
burden	0.0650878
remorse	0.0637276
compensation	0.0571951
sympathy	0.0569953
accountability	0.0554578
retribution	0.0551637
shame	0.0540836
ridicule	0.0530686
fault	0.0529658
groundwork	0.0525657
risk	0.0520161
cure	0.0517151
motive	0.0514726
suspicion	0.0508818
"burden of proof"	0.0506334
flak	0.0497561
"contingency plan"	0.0496533
task	0.0494925
grief	0.0490667
remedy	0.0490546
retaliation	0.0485931
culprit	0.0483621
penalty	0.0471385
"quick fix"	0.0467704
attention	0.0467635
sorrow	0.0463306
panacea	0.0463052
repentance	0.0460078
rationale	0.0455747
metaphor	0.0454005
regret	0.0451377
revenge	0.0449725
tolerance	0.0448157
accolade	0.0443358
catalyst	0.0442334
prosecution	0.0441096
adulation	0.0434548
scorn	0.0425644
pity	0.0423364
scrutiny	0.0415438
forgiveness	0.0411579
Leeway	0.0409822
emphasis	0.0408328
condemnation	0.0402778
compassion	0.0402202
))
(Blanc (desc 5904.69) (sims
"Laurent Blanc"	0.12975
mayonnaise	0.0797191
Zidane	0.0791385
"Pinot noir"	0.0790858
"Sauvignon blanc"	0.0781026
Niedermayer	0.0780955
yogurt	0.0764445
Kluivert	0.0748291
curd	0.072131
"Fabien Barthez"	0.0705464
Chastain	0.0702317
"Lilian Thuram"	0.070103
Audette	0.0697344
Chardonnay	0.0695195
"cream cheese"	0.0672941
ricotta	0.0659562
"sour cream"	0.0651903
vinaigrette	0.06497
Batistuta	0.0646081
Syrah	0.0625933
sorbet	0.062556
Zinfandel	0.062252
"Bixente Lizarazu"	0.0611406
"Marcel Desailly"	0.0605715
Deportivo	0.0605291
Beckham	0.059324
merlot	0.0588266
Bergkamp	0.0587627
"coconut milk"	0.0586002
"Di Canio"	0.058504
"Zinedine Zidane"	0.0584885
Basil	0.0578198
Suker	0.0577074
Andreychuk	0.0568468
Bullard	0.0568177
"white wine"	0.0565502
Roquefort	0.0565312
custard	0.0565285
Chilavert	0.0549162
marmalade	0.0543826
Baggio	0.0539686
"cottage cheese"	0.053752
noir	0.0535024
brie	0.0532937
"Robert Jarni"	0.0531397
Doan	0.0529012
Gorter	0.0526703
Sampaio	0.0526082
chevre	0.0524302
Nailon	0.0511003
"Van Exel"	0.0510135
Reichel	0.0508044
Welton	0.0507904
buttermilk	0.0507312
Asprilla	0.0505236
"Cabernet Sauvignon"	0.0504216
dill	0.0500847
Duchesne	0.0497977
Djorkaeff	0.0493582
jelly	0.0493464
broth	0.049275
cider	0.0492655
Hendrickson	0.0492086
"Fredrik Olausson"	0.049064
Muoneke	0.0489998
Heinze	0.0489504
"Chenin blanc"	0.0489124
"red wine"	0.048732
Lett	0.0486994
Stumpel	0.0486748
Laudrup	0.048483
"Ryan Kealy"	0.0484466
Nedved	0.0481611
Nesby	0.0480862
"egg yolk"	0.0479844
Gallo	0.0475867
"whipped cream"	0.0475815
Bierhoff	0.0475586
pesto	0.0472849
Lassiter	0.0471977
Vinatieri	0.0471399
Serna	0.0470695
Ortega	0.0470131
McSorley	0.0469516
Wakanohana	0.0467204
Fedorov	0.0463963
fraiche	0.0463528
Bure	0.0459067
"Paul Caligiuri"	0.0457788
LeClair	0.0456479
Drury	0.0456344
Recchi	0.0454557
Rhone	0.0452689
"sparkling wine"	0.0452557
"El Guerrouj"	0.0451031
Toomer	0.0448263
Savarese	0.0448064
Groscost	0.0446777
vinegar	0.044626
Hatcher	0.0445755
Bruijn	0.0444974
Hightower	0.044379
Jonsson	0.044371
Cleaves	0.0443642
puree	0.0439415
Moreno	0.043711
"orange juice"	0.0436331
Forsberg	0.0435994
Neilson	0.0435947
gelatin	0.0435818
Tocchet	0.0435061
"Hao Haidong"	0.0433569
sherbet	0.0431982
meringue	0.0430447
"Kristine Lilly"	0.0429397
Bois	0.042917
inquisitor	0.0428671
mustard	0.0428198
"Brandi Chastain"	0.0428171
"heavy cream"	0.0426795
Grimsley	0.0426787
Langenbrunner	0.0426058
Cabernet	0.042426
Mcbride	0.042425
Kamensky	0.0424085
hermosillo	0.0422644
"pine nut"	0.0422293
Jell-O	0.0421923
Cabrera	0.0420184
"David Beckham"	0.0420167
McInnis	0.0419963
mousse	0.0418933
Elam	0.0416345
Ronaldo	0.0416296
"Fan Zhiyi"	0.0414735
Bordeaux	0.041448
Salas	0.0414123
Bebeto	0.0413214
Verbeek	0.041224
Vina	0.0411439
Chmura	0.0411222
Maradona	0.04111
Wynalda	0.0410562
Kealy	0.041042
"whipping cream"	0.0409471
Robitaille	0.0409427
confit	0.0407974
"Tony Adams"	0.0407106
Holik	0.0406185
"Christophe Dugarry"	0.0406019
DeShields	0.0405676
"Scarlet Knights"	0.0404945
Donato	0.040308
Hardeman	0.0402668
yolk	0.0402103
sherry	0.0402017
"hot sauce"	0.0401928
Primeau	0.0401372
Dilfer	0.0400923
Calvary	0.0400182
Romario	0.0400057
))
(Blanche (desc 1517.45) (sims
outsold	0.0593654
Georges	0.0571913
"Amazing Grace"	0.0535673
"Star-Spangled Banner"	0.050574
Roberta	0.0491493
Susanna	0.0481719
"Wonderful World"	0.0468864
Mimi	0.0468146
Bess	0.0462891
Rodrigo	0.0459926
"Queen Anne"	0.0455201
"Happy Birthday"	0.0454855
Elmo	0.0448119
du	0.0440565
"Christmas carol"	0.0440453
Carol	0.0438842
Seanez	0.0437616
Dido	0.0437477
Marie	0.0433861
J.D	0.0422954
"Lord's Prayer"	0.04103
clarinet	0.0408971
Nilsson	0.0407245
Spirlea	0.040689
Spielman	0.04006
dirge	0.0400373
))
("Blanche Lincoln" (desc 1444.43) (sims
"Dale Bumpers"	0.279151
"Barbara Mikulski"	0.22624
"Tim Hutchinson"	0.177944
"John Breaux"	0.163076
"Harry Reid"	0.149258
"Patty Murray"	0.148323
"Byron Dorgan"	0.139019
"Mary Landrieu"	0.138464
"Max Baucus"	0.136267
"Ernest Hollings"	0.135449
"Ron Wyden"	0.134347
"Carl Levin"	0.133539
"Asa Hutchinson"	0.128514
"Frank Murkowski"	0.126665
"Mike Huckabee"	0.126119
"Robert Torricelli"	0.124373
"Bob Kerrey"	0.121671
"Robert C. Byrd"	0.121172
"Spencer Abraham"	0.121148
"Judd Gregg"	0.121115
"Herb Kohl"	0.120305
"Charles E. Schumer"	0.120299
"Dick Durbin"	0.119635
"Slade Gorton"	0.118914
"Larry Craig"	0.117787
"Bob Graham"	0.117299
D-La.	0.116624
"John Edwards"	0.115572
"Russ Feingold"	0.114763
"Kit Bond"	0.114275
"Chuck Hagel"	0.113828
"Kent Conrad"	0.112992
"Joseph Biden"	0.111527
"Daniel Patrick Moynihan"	0.109122
"Max Cleland"	0.108755
"Russell Feingold"	0.107795
"Norm Dicks"	0.106813
"Barbara Boxer"	0.106169
"Joseph I. Lieberman"	0.105893
"Edward M. Kennedy"	0.105686
"John Kerry"	0.105078
"Paul Wellstone"	0.104878
"Thad Cochran"	0.104215
"Gary Locke"	0.0997722
"Charles Stenholm"	0.0993892
"Robert Byrd"	0.0990299
"James Inhofe"	0.0985594
"Charles Robb"	0.0984182
"Dianne Feinstein"	0.0974584
"Olympia Snowe"	0.0964374
"Jim Jeffords"	0.0964284
"John Chafee"	0.0963243
"Richard Durbin"	0.0962771
"Richard Bryan"	0.0962525
"Mitch McConnell"	0.0961343
"Richard Lugar"	0.095439
"Ted Stevens"	0.0946473
"Bill Frist"	0.094619
"Olympia J. Snowe"	0.0944083
"Susan Collins"	0.0925317
"Frank Lautenberg"	0.0924017
"George Nethercutt"	0.0919167
"Sam Nunn"	0.0906454
"Pat Roberts"	0.0900419
"Peter Fitzgerald"	0.0898376
"Conrad Burns"	0.0892152
"Patrick Leahy"	0.0890176
"Jeff Sessions"	0.0878465
"Dan Coats"	0.0870486
"Wayne Allard"	0.086422
"Lincoln Chafee"	0.0856169
R-Miss.	0.0848031
"Charles Grassley"	0.0847106
"Craig Thomas"	0.0845539
"Howard Baker"	0.0831689
"Richard Shelby"	0.0825159
"Evan Bayh"	0.081072
"Tom Harkin"	0.0806697
"Christopher Dodd"	0.0794266
"Fred Thompson"	0.0780592
"Tim Johnson"	0.0767072
"Tom Hayden"	0.0764471
"Ben Nighthorse Campbell"	0.0752314
"Jon Kyl"	0.0735392
"Sam Brownback"	0.0734823
"Gordon Smith"	0.0715309
"Bill Thomas"	0.0710658
"Tom Daschle"	0.0706216
"Robert Bennett"	0.069169
"William Roth"	0.0691674
"Arlen Specter"	0.0691562
"Gary Hart"	0.0690945
"Joe Lieberman"	0.0690183
"John D. Rockefeller"	0.0687264
"James Jeffords"	0.0686739
Schaffer	0.0680581
"Mike DeWine"	0.0677167
"John Warner"	0.0675537
"Rick Santorum"	0.0657273
"Ted Kennedy"	0.0657042
"Pete Domenici"	0.0654667
"Joseph McCarthy"	0.0651988
"John Conyers Jr."	0.0638528
"Rod Grams"	0.0634927
"Don Nickles"	0.0634701
D-S.C.	0.0633505
"Paul Patton"	0.0630139
"Connie Mack"	0.0618906
"Martin Frost"	0.0611092
"Nancy Pelosi"	0.0608579
"Trent Lott"	0.0606836
"Charles Schumer"	0.0605811
"Charles Rangel"	0.0602511
"George Voinovich"	0.0601443
"Carolyn Maloney"	0.0594356
"Lloyd Doggett"	0.0576161
"Phil Gramm"	0.0572646
Feinstein	0.057213
"Zell Miller"	0.0571732
"Jim Hodges"	0.0569811
"Orrin Hatch"	0.0565976
D-Md.	0.0564853
"Kay Bailey Hutchison"	0.0563591
"Paul Coverdell"	0.0548209
Hollings	0.054698
"Strom Thurmond"	0.0544145
"Tom Coburn"	0.0542839
"Edward Kennedy"	0.0540106
"Tom Vilsack"	0.0539244
Dingell	0.0538165
Musgrove	0.0534826
"Eastern District"	0.0534747
"Sheldon Silver"	0.0517154
Gorton	0.0515841
"Martin Meehan"	0.0515837
"Parris Glendening"	0.0515636
"George McGovern"	0.0510133
Pelosi	0.0508971
"Jim Bunning"	0.0504609
"Lloyd Bentsen"	0.049524
"Bob Smith"	0.049423
"Paul Tsongas"	0.0491039
"Barry Goldwater"	0.0488688
"Bob Franks"	0.0486678
"Chuck Schumer"	0.0480983
Siegelman	0.0473683
Glendening	0.04716
"Lamar Smith"	0.0458628
"Warren Rudman"	0.0458594
"David Bonior"	0.0457331
"John Conyers"	0.0455577
"Jeanne Shaheen"	0.0454949
Markey	0.0453071
"Sheila Jackson Lee"	0.0452432
"Lee Hamilton"	0.0443721
Murkowski	0.0443523
"Richard Gephardt"	0.0439338
D-N.Y.	0.0437308
D-Vt.	0.0434575
"Bob Bullock"	0.0433309
"Robert Smith"	0.0430667
D-N.J.	0.0427095
D-Calif.	0.0413395
"Jennifer Dunn"	0.0412822
"Jim McDermott"	0.0412214
Knowles	0.0409343
"John Dingell"	0.0403181
"Don Siegelman"	0.0402482
))
(Blanchett (desc 1204.47) (sims
Sheedy	0.136428
Flockhart	0.117452
swank	0.115378
Nilsson	0.108812
Streep	0.108751
Paltrow	0.108003
Zellweger	0.107751
Henning	0.101873
Midler	0.0996196
Marchand	0.0975931
Dench	0.096878
Marceau	0.0939222
Tuttle	0.0869624
Lockwood	0.0862693
Mucha	0.0858383
Fiorina	0.0855864
Jeffers	0.0829863
Rowley	0.081731
Abram	0.0809003
Krall	0.0805942
Stacy	0.0802374
Grammer	0.0795442
Portman	0.0795147
Nolte	0.0786173
Manheim	0.0784135
Wasserstein	0.0782723
Kurth	0.0782702
Redgrave	0.0781314
Bacall	0.0780179
Kusama	0.0776768
Liston	0.0765481
Orton	0.0756927
Tharp	0.0754949
Barrymore	0.0753896
Cleese	0.0746518
Judd	0.0739155
Reiter	0.0735921
Schafer	0.0735216
Deneuve	0.0734502
Heche	0.0727019
Roberson	0.0725511
Vogel	0.0724267
Merritt	0.0723413
Pearce	0.0723092
Winslet	0.0722261
Hecht	0.0722127
Brazile	0.0719441
Witherspoon	0.0717924
Franz	0.0715084
Mapes	0.0710764
Lipstadt	0.0702588
Currier	0.0699202
Bening	0.0688889
Chenoweth	0.0688298
Pascal	0.0686584
Hickman	0.0686092
Kidman	0.0684916
Rowe	0.068471
McDonnell	0.0683489
Dion	0.0681262
Russo	0.0680369
Carrey	0.0679774
Dennehy	0.0678891
Kurtz	0.0678444
McDaniel	0.0677362
nonconference	0.0676028
Janssen	0.0675156
Scruggs	0.0674174
McKellen	0.0671852
Duvall	0.0671436
Falco	0.0670907
COYNE	0.0661171
Carmichael	0.0661024
Tilberis	0.0658937
Hamlin	0.0658107
Garber	0.065741
Morley	0.0652147
Sheehy	0.0650887
Pape	0.0650645
Edson	0.0650554
Upshaw	0.0650177
DeFrantz	0.0648379
Quintero	0.0647247
Ingalls	0.064449
Leigh	0.0643209
Gaffney	0.0642936
Jaffe	0.0642539
Mortimer	0.0642284
Briscoe	0.0639096
barrister	0.0638108
Clooney	0.0638003
Grunwald	0.0634022
O'Hara	0.063392
Sills	0.0628896
Bocelli	0.0628804
Menchu	0.0628484
Knapp	0.0627866
Kagalovsky	0.0623699
Hartman	0.0620534
Farnsworth	0.0619525
Fiennes	0.0619231
Morissette	0.0614133
Cohn	0.0610605
Lafleur	0.061031
Weil	0.0609239
O'Sullivan	0.0606866
Britton	0.0606429
Garvey	0.060521
Rivlin	0.0602882
Cleary	0.0600612
Kingsley	0.0599678
Karan	0.0596956
Majko	0.0596747
Ashrawi	0.0596503
Fink	0.059481
pressman	0.0594648
Newhouse	0.0590203
Mckee	0.0587304
Braugher	0.0586106
whomever	0.0585583
Bassett	0.0584426
Barad	0.0583341
Seligman	0.0580662
Pfeiffer	0.0578799
Huffington	0.0577362
Atkinson	0.0577039
McIntyre	0.0575705
Griffiths	0.0573205
Haines	0.0572404
Bessette	0.0571712
McCormack	0.05714
Malkovich	0.0567488
Sarandon	0.0566027
Lovett	0.0565981
Byrne	0.056502
Rupert	0.0564915
FAWCETT	0.0564883
Farber	0.0563151
Jolie	0.0561812
Bragg	0.0561101
Sorensen	0.05609
Woodard	0.0560066
"Christian Slater"	0.0559295
Kline	0.0559214
Brundtland	0.0558267
Swenson	0.0557953
Gilligan	0.055723
Arron	0.0556846
Bellamy	0.0554415
Webdale	0.0553446
Diggs	0.0553113
"Jamie Foxx"	0.0552398
"natural ability"	0.0552331
Holzman	0.0551731
Lange	0.0551206
Blackman	0.0550635
Mei	0.0550309
"Jessica Lange"	0.0550188
Hawn	0.0549363
Northup	0.0546147
Meissner	0.0544926
Soliah	0.0543845
Wiggins	0.0542885
Preston	0.0542781
Couric	0.0542532
Pierson	0.0542267
"Mark Bosnich"	0.0541773
Godfrey	0.0541764
Matthau	0.0540782
burrows	0.0540613
Arquette	0.053777
Kirkpatrick	0.0536728
Mathews	0.0536384
Rowan	0.0536275
Stiller	0.0534702
Gooding	0.0534471
BRITNEY	0.0533681
Rosen	0.0533061
Ivey	0.053258
Baum	0.0532509
Hewitt	0.0532205
Ingraham	0.0531908
Feldman	0.0530643
Barlow	0.0529264
"Denzel Washington"	0.0527776
Betts	0.0527461
Seymour	0.0526702
Ferragamo	0.0526252
"Harry Kewell"	0.0525847
Ricart	0.0525566
Shulman	0.0525201
Fay	0.0524688
Ono	0.0524245
Edberg	0.0523848
Schiff	0.0523045
Jamison	0.0522196
Healy	0.0521393
"McCaughey Ross"	0.052103
Neal	0.0519015
bock	0.0517982
))
(Blanco (desc 1949.71) (sims
Morceli	0.123848
Calcavecchia	0.0986304
Majoli	0.092833
Konstantinov	0.0820658
Lucic	0.0802436
Spirlea	0.0798802
Moxley	0.0790024
"Jeff Hornacek"	0.0682084
Serna	0.0681965
Leyritz	0.0656971
Gaston	0.0655018
Vacek	0.0650513
Hendrickson	0.0628955
Gaither	0.0628501
Mendez	0.0625978
gangland	0.0612267
"Jere Lehtinen"	0.061026
Mirer	0.0604165
Schalken	0.0597001
Ilie	0.0587639
Carbonneau	0.0574275
Thome	0.0567141
Dahmer	0.0555382
Aquino	0.0550959
Middleton	0.0545782
Guerin	0.0534207
Jonsson	0.0530287
Primeau	0.0528163
Lankford	0.0524244
Olazabal	0.0518318
Alomar	0.0511709
Dougherty	0.0511695
Spadea	0.0510955
Lieberthal	0.0508784
Dunwoody	0.0502841
Hani	0.0501216
McDuff	0.0488252
Paulie	0.0484838
Gerardi	0.0477804
Sweeting	0.0476909
"two @@@@"	0.0476683
Shepard	0.0476286
Catalanotto	0.0474557
"Quinton McCracken"	0.0472595
O'Neil	0.0469925
second-degree	0.0469752
Dickinson	0.0467916
O'Hair	0.046779
"Del Rio"	0.0466841
"Marvin Benard"	0.0466568
Delgado	0.0466373
Hatteberg	0.0464323
Gonzales	0.0461424
Bruguera	0.0460849
"Brian McRae"	0.0459065
Lofton	0.0457396
Rolen	0.0454632
"Tim Bogar"	0.0452938
Curley	0.0449684
Snead	0.0448918
PITTS	0.044666
Etcheverry	0.0445699
Abreu	0.044458
Kremer	0.0437308
Padilla	0.0437114
Catalina	0.043602
Burnitz	0.0433961
Aurilia	0.0431929
"Ryan Kealy"	0.0431372
Burks	0.0430188
first-degree	0.0429926
Capriati	0.0429818
Bergkamp	0.0428294
Winchell	0.0428257
Dosedel	0.0427889
Bautista	0.0427839
"Todd Pratt"	0.0427694
Elster	0.0424887
Ralston	0.0423635
Palmeiro	0.0422088
Arazi	0.042154
Krajicek	0.0420097
Easley	0.041887
Sidot	0.0418844
Buckhead	0.0418156
"Chinese Army"	0.0417288
Snipes	0.0417278
Woodbridge	0.0417104
"Patty Hearst"	0.0414442
Berasategui	0.0411006
Lapentti	0.0410668
Paolo	0.0410125
"De la Cruz"	0.040856
Biggio	0.0407468
Kuerten	0.0407234
Gorter	0.0407112
Rostock	0.0407099
Dellucci	0.0406516
"Charles Manson"	0.0405667
Langdon	0.0402647
Tocchet	0.0401509
pressman	0.0400758
"Matt Luke"	0.040052
))
(blandishment (desc 1149.51) (sims
emotionalism	0.0777213
perquisite	0.0623945
diminution	0.0598598
entreaty	0.0578662
urgings	0.0574451
"bank withdrawal"	0.0499236
categorization	0.0492607
commonality	0.0483461
foible	0.0481125
subjugation	0.0479666
spoils	0.04671
"benefit program"	0.046389
updating	0.0463612
"executive agency"	0.045131
accoutrement	0.0445543
deductibility	0.0443994
artifice	0.0441576
iota	0.0435744
furtherance	0.04347
"Corcoran Gallery"	0.0428355
"ultraviolet light"	0.0426038
wordplay	0.0425634
witticism	0.0423683
verity	0.0414665
trappings	0.0409748
pooling	0.0409597
"missionary work"	0.0407867
charade	0.0404934
denigration	0.0404724
"sailing vessel"	0.0400378
))
(blandness (desc 2258.83) (sims
rudeness	0.0600125
defensiveness	0.0553595
"raw talent"	0.0534443
preconception	0.0527866
friendliness	0.0527113
self-awareness	0.0523446
hopelessness	0.052067
"sense of direction"	0.0514351
talkie	0.0498806
"balanced diet"	0.0496079
sameness	0.0489976
nonchalance	0.047922
bemusement	0.0477911
gentleness	0.0472228
wholesomeness	0.0470507
liberalism	0.0465233
reverence	0.0462169
hipness	0.0461045
bonhomie	0.0458742
fizz	0.0456983
wariness	0.0454947
schtick	0.0453779
outspokenness	0.0453278
"numbers game"	0.0448911
merry-go-round	0.0448382
apathy	0.0444736
solidity	0.0443323
powerlessness	0.0437978
Truism	0.0437553
Republicanism	0.0433384
"good sense"	0.0431342
in-jokes	0.0425988
stoicism	0.0425711
helplessness	0.0422346
rumination	0.0417778
Americanization	0.0415075
belligerence	0.0413949
profundity	0.04115
smugness	0.0408912
worldliness	0.0407179
vernacular	0.0403817
willfulness	0.0403035
virulence	0.0400665
))
(blank (desc 12010.8) (sims
void	0.0542737
"water cannon"	0.0475664
"tax form"	0.0431243
Ivester	0.0429298
intangible	0.0427274
casing	0.0412326
caveat	0.0407274
cartridge	0.0403042
))
("blank check" (desc 1210.31) (sims
"birthday present"	0.129362
"all clear"	0.116381
"breathing space"	0.110247
"carte blanche"	0.103057
"power of attorney"	0.100753
crapshoot	0.0935122
"one million dollars"	0.0921561
send-off	0.0896298
fillip	0.0891822
NTR	0.0874614
"death warrant"	0.0829544
"Cliffs Notes"	0.0821363
"free rein"	0.0775473
eulogy	0.0765756
MFN	0.0757388
"cold shoulder"	0.0751507
"breathing room"	0.0741867
Lowdown	0.0722639
"one million US dollars"	0.0719037
"clean slate"	0.0717968
"Good Book"	0.0708167
"quid pro quo"	0.0705258
time-frame	0.0692901
"goose bumps"	0.0688689
"inside information"	0.0683834
wherewithal	0.0680821
"speeding ticket"	0.0673189
"high time"	0.0667648
IOU	0.0653022
punchline	0.0649734
"piece of cake"	0.0649497
PNTR	0.0644155
hard-wired	0.0640926
inkling	0.0640524
"bill of health"	0.0639383
dispensation	0.0629887
"elbow room"	0.0620428
"permanent normal trade relations"	0.0618365
goosebumps	0.0618164
"one penny"	0.0617428
"talking point"	0.0609536
"pop quiz"	0.0604415
cakewalk	0.0603033
"instruction manual"	0.0601888
okay	0.0601648
pushover	0.0601291
dishonor	0.0600212
"point of reference"	0.0598628
smooch	0.0597871
"road map"	0.0596262
timeframe	0.0590899
"hard sell"	0.0589856
facelift	0.0588487
Federated	0.0587382
"word of advice"	0.0585897
"a few million dollars"	0.0584775
"lip service"	0.0582553
"written agreement"	0.0580258
"American plan"	0.0580174
"human face"	0.0575486
"letter of credit"	0.0574097
Gilead	0.0573492
"stay of execution"	0.0572084
"a few dollars"	0.0568855
"seal of approval"	0.0560742
haiku	0.0557642
obit	0.0557412
"dollar amount"	0.0554475
"Lee Hsien Loong"	0.0553033
"frame of reference"	0.0549975
"hole in the ground"	0.0546811
"secret plan"	0.0546171
"mailing address"	0.0545916
sendoff	0.0544874
"sitting duck"	0.0544503
"sneak preview"	0.0544396
Esposito	0.0542216
"inside track"	0.0542174
disincentive	0.0537642
"National Grid"	0.0537193
kudos	0.0537062
longhand	0.0532528
"second thought"	0.0532034
sedative	0.0531751
Massport	0.0531547
"piece of music"	0.0531539
"British government"	0.0530107
Adelphia	0.0528374
epitaph	0.0527645
"billion yuan"	0.052719
Measures	0.0527048
steppingstone	0.0523523
Checo	0.0521713
NTL	0.0521059
"kick start"	0.0520364
"short shrift"	0.0518903
"set point"	0.0518819
Berliner	0.0518641
foothold	0.051845
thumbs-up	0.051822
"stepping stone"	0.0517218
"good word"	0.0516089
"personal letter"	0.0513619
"billion over @@ years"	0.0513537
"musical score"	0.0510581
"hush money"	0.0509882
Harris-Lewis	0.0508653
"adventure story"	0.0506294
libretto	0.0505931
backsliding	0.0505705
Groscost	0.050386
"picture book"	0.0503785
"about @@@ million dollars"	0.0503499
"tax liability"	0.0502629
homepage	0.0502356
"memorandum of understanding"	0.0502344
"coat of paint"	0.0502052
heartening	0.050173
shortcut	0.0499611
"moral obligation"	0.0498316
capitulation	0.0496046
"form letter"	0.0491553
GAAF	0.0489861
"rubber stamp"	0.0488779
"bear hug"	0.0488542
guidepost	0.0488375
panacea	0.0488263
toehold	0.0486061
"living will"	0.0485325
credence	0.0485058
alibi	0.0484825
"time off"	0.0483139
"inaugural address"	0.0483061
"day of rest"	0.0482075
"progress report"	0.0481695
"determining factor"	0.0479315
postscript	0.0479205
hesitancy	0.0479165
high-fives	0.0478832
"Sydney Organizing Committee"	0.0478684
abdication	0.0477872
Duchesne	0.0476769
preface	0.0476714
"sense of purpose"	0.0476026
"reserve fund"	0.0471827
"Con Ed"	0.0470916
"about @@@ million yuan"	0.0468661
flak	0.0468493
leniency	0.0466974
"nearly $@ billion"	0.0466207
"about $@@@ billion"	0.0466011
meatpackers	0.0464862
Moby-Dick	0.0464498
"almost $@@ million"	0.0464377
"Donald duck"	0.0464275
"hundred dollars"	0.0463707
smokescreen	0.0463597
oomph	0.0462933
"foster mother"	0.0462886
"face lift"	0.0462266
"fund-raising campaign"	0.0461823
subterfuge	0.0461212
"magnifying glass"	0.0460641
"name and address"	0.0460611
"right to vote"	0.0458349
"birthday card"	0.0457961
roadmap	0.0456713
"Krishna Prasad Bhattarai"	0.0456699
"one million yuan"	0.0456444
regrets	0.0455565
pointer	0.0454529
mistaking	0.0454024
BNFL	0.0453712
storybook	0.0451712
well-positioned	0.0449902
"guardian angel"	0.0449765
afterword	0.0449755
cudgel	0.0449244
"face saving"	0.0448286
GPU	0.0447256
"return address"	0.0445969
primer	0.0444522
Norstrom	0.0444017
typo	0.0441277
"tax hike"	0.0440787
mainlanders	0.0440756
"good story"	0.0439715
"landscape painting"	0.0437211
foreword	0.043567
breather	0.0433832
"Christmas present"	0.043334
Maruyama	0.0432971
"season ticket"	0.0432757
"hundred thousand dollars"	0.0432082
succor	0.0431635
counteroffer	0.0431236
Raznatovic	0.0431214
"battle line"	0.0431095
"million yuan"	0.0430663
"Department of Health and Human Services"	0.0430629
))
(blanket (desc 44869) (sims
mattress	0.163377
towel	0.154799
cloth	0.154387
"sleeping bag"	0.149582
quilt	0.142057
pillow	0.137945
sheet	0.133366
sheeting	0.132837
tarp	0.129426
Clothing	0.129321
overcoat	0.128157
tent	0.12598
cot	0.124543
bedding	0.124235
scarf	0.122418
coat	0.117781
rug	0.116458
shawl	0.115996
carpet	0.114881
sweater	0.113504
bag	0.111937
jacket	0.11102
tarpaulin	0.105588
mat	0.104511
sock	0.102554
shirt	0.099639
shoe	0.0989802
plastic	0.0984838
T-shirt	0.097664
fabric	0.0961757
hat	0.0940098
robe	0.0934957
linen	0.0925322
utensil	0.0911409
pillowcase	0.0902757
bed	0.089685
food	0.0894883
"canned food"	0.0893365
layer	0.0890006
tablecloth	0.0885231
comforter	0.0883633
garment	0.0882796
curtain	0.088119
parka	0.0878172
sofa	0.0878019
furniture	0.0877267
veil	0.0861162
vest	0.0857994
underwear	0.0848281
"water bottle"	0.0842027
suitcase	0.0841956
"teddy bear"	0.0838749
Poncho	0.0837707
flashlight	0.0835472
shroud	0.0831263
rag	0.0829321
apron	0.0828675
diaper	0.0817957
umbrella	0.0816691
dress	0.0814153
toy	0.0801218
chair	0.0801139
flower	0.0794943
jewelry	0.0793772
medicine	0.0789967
sweatshirt	0.0789083
backpack	0.0773105
pot	0.0760867
cushion	0.0759345
boot	0.075358
glass	0.0753566
mask	0.0752963
box	0.0747845
"life jacket"	0.0747672
container	0.0745346
leather	0.0745064
pajama	0.0744651
supply	0.074373
skirt	0.0743367
foodstuff	0.0742325
trouser	0.0740784
bandage	0.0739717
"canned goods"	0.0738682
item	0.0738491
cloak	0.0737411
tile	0.0732853
"toilet paper"	0.0731738
raincoat	0.0731465
stove	0.0731329
pant	0.0730072
"medical aid"	0.0730033
bottle	0.072894
handbag	0.0721821
mitten	0.0718767
bathrobe	0.0718102
fur	0.071761
candle	0.071532
carpeting	0.0711255
ribbon	0.0710268
turtleneck	0.0709642
lamp	0.0708588
material	0.0705906
Firewood	0.0704314
pullover	0.0703356
"paper towel"	0.0702715
silk	0.0698821
patch	0.0697842
uniform	0.0694411
"cooking oil"	0.0693783
"plastic wrap"	0.0692643
kit	0.0692101
appliance	0.0687681
cap	0.0686553
"paper bag"	0.068501
bucket	0.0680479
sand	0.0679235
bedspread	0.0678476
handkerchief	0.0678063
glove	0.067775
equipment	0.0676198
jean	0.0674243
napkin	0.067212
accessory	0.0668194
couch	0.0666151
sunglasses	0.0664925
brick	0.0663428
netting	0.0661697
sneaker	0.0659171
luggage	0.0656407
cardigan	0.0652586
toothbrush	0.065181
"powdered milk"	0.065021
Canopy	0.0649361
toiletry	0.0648209
water	0.064722
nightgown	0.0646677
kitchenware	0.0646454
insulation	0.0644157
tortilla	0.064342
doll	0.0643411
belonging	0.0639513
tray	0.0639293
belt	0.0638997
pad	0.0634994
cloud	0.0634942
blouse	0.0634621
"building material"	0.0634286
hair	0.0634062
gear	0.0633544
bandanna	0.0631327
soap	0.0630957
shelter	0.0628724
bandana	0.0626258
necktie	0.0625833
cooler	0.0624425
"fur coat"	0.0623947
foam	0.062388
"drinking water"	0.0623399
textile	0.0622818
sack	0.0620611
"bathing suit"	0.0620293
bead	0.0619431
stocking	0.0617689
ration	0.061628
Plywood	0.06159
skin	0.0615604
tube	0.0615492
wool	0.061435
canvas	0.061398
"household appliance"	0.061279
ammunition	0.0611701
jar	0.0611434
Cape	0.0609054
"duffel bag"	0.060897
camisole	0.0608793
helmet	0.0608669
coating	0.0608047
furnishings	0.060767
slipper	0.0607497
generator	0.060679
paint	0.0605501
recliner	0.0601618
sandal	0.0601234
lantern	0.0599058
biscuit	0.059864
crib	0.059692
ornament	0.059663
metal	0.059662
goods	0.0595721
knife	0.0595576
jersey	0.059417
wallpaper	0.0594049
gown	0.0593575
slab	0.0592742
leaf	0.0590643
velvet	0.0589533
Pottery	0.0588506
bread	0.058834
shade	0.0586571
tree	0.0584734
))
(Blanton (desc 986.051) (sims
Kalejs	0.133512
Khalil	0.113977
Fernandes	0.103816
Haouari	0.098016
Mikhailov	0.0950366
"Michael Skakel"	0.0945658
Bakaly	0.0939909
Abbas	0.0931954
Skakel	0.0926702
Kimbell	0.0909108
Lari	0.086315
Aventajado	0.0854691
"El Hage"	0.0826792
Bowers	0.0813527
Barrionuevo	0.0813253
Villanueva	0.0809651
Soliah	0.0805825
Strauss-Kahn	0.0803354
Ruehe	0.079988
Stayner	0.0793814
"High Museum of Art"	0.0792664
Venables	0.0792621
PNP	0.0788777
Gotti	0.0782981
"passion fruit"	0.077946
Aoki	0.0777704
"Bin Laden"	0.0774499
Lileikis	0.077026
Moratinos	0.0766677
Kagalovsky	0.0763746
Reimer	0.0763578
Sumaye	0.0756008
Vasile	0.0750462
Sahnoun	0.075036
Berenson	0.0749613
Manley	0.0749133
Romanowski	0.0746369
Yastrzhembsky	0.0745695
Crocker	0.0741928
Robison	0.0741817
Rodionov	0.0740467
Hauser	0.0736565
aldermen	0.0730546
Abernathy	0.0728519
Hamid	0.072794
Mendez	0.0727639
Nasrin	0.0725653
Wenger	0.0722362
Waigel	0.0719675
Hsia	0.0718519
Blackthorne	0.0717177
Alatas	0.0714849
Luciano	0.0710046
Agca	0.0709744
Sakic	0.0707537
Harmoko	0.0706164
Morley	0.0702693
Krstic	0.0701525
Tarrin	0.0699961
Napolitano	0.0697227
Craxi	0.0694825
Malu	0.0694272
"De Soto"	0.069301
Yazdi	0.0691469
Zamora	0.0688249
Abdel-Meguid	0.0687353
Hirschfeld	0.0685665
Hitchens	0.0685478
Wilhelm	0.0685092
Bustamante	0.0684198
Stoyanov	0.0683872
Komura	0.0683268
Jorgensen	0.0683257
Fagan	0.0681554
Yosef	0.0681539
Kato	0.0678298
Sithole	0.0677841
Duvalier	0.0677758
Scripps	0.0677263
Baz	0.0677035
Caddell	0.0673731
"Bill Skate"	0.0673592
Hybl	0.0672704
Winkler	0.0672172
MFA	0.0670656
Stroh	0.0669458
Hensley	0.0669335
Soares	0.0666085
Borodin	0.0665155
Mease	0.0664992
Granic	0.066349
Rau	0.0662888
Modise	0.0662142
Rosales	0.0658681
Taufik	0.0657985
Azad	0.0656942
Kazhegeldin	0.0656653
Kasoulides	0.0655126
Kaczynski	0.0654692
Alfonso	0.0653178
"two @@-year-olds"	0.065246
Insulza	0.0651896
Guidry	0.0648611
Shareh	0.0647601
McDermott	0.0646365
Ashrawi	0.0645917
Lacresha	0.0645685
Demaci	0.0645295
Kasyanov	0.0644662
DMA	0.0642531
Huggins	0.064081
Finkel	0.0638634
Bruton	0.0637504
Priebke	0.0637264
Maslyukov	0.0633785
Lazarenko	0.0632326
Kopp	0.0631882
Shipman	0.0631089
Velayati	0.0630294
CNA	0.0629857
Espinoza	0.0629845
Chubais	0.0628465
Kimeses	0.0626747
"Lee Hsien Loong"	0.0625099
al-Sahaf	0.06243
Singson	0.0623762
Fabius	0.0623064
Lamberth	0.062286
chun	0.0622303
Haas	0.0620262
Bonanno	0.0618591
Iger	0.061834
Alarcon	0.0616355
Krajisnik	0.0613518
McGinn	0.0612203
furrow	0.0611593
USTA	0.061141
Guterres	0.0611157
Flanagan	0.0609903
Burleigh	0.0606606
Weiner	0.0605161
"Speaker Ali Akbar Nateq-Nouri"	0.0605008
Combs	0.0604766
Naumann	0.0603915
Terri	0.0603799
Bhutto	0.0603779
Leung	0.0601986
Carruth	0.0601191
khan	0.0600529
Biggs	0.0600492
"de Charette"	0.0599452
Neeman	0.0596592
Jelisic	0.059649
Joklik	0.0595595
Rosenberg	0.0595366
Carollo	0.0595252
Teresi	0.0594256
AFA	0.0594173
Gartner	0.0592906
Frick	0.0592539
Berlusconi	0.0591865
Narayanan	0.0591681
Cisneros	0.0591292
Surin	0.0589539
"Maturino Resendez"	0.0589201
Thayer	0.0587415
McVeigh	0.0585928
Goossen	0.0585061
Hoddle	0.0584864
Seleznyov	0.058429
Capano	0.0583651
Prado	0.0582857
Yates	0.0580721
Haughey	0.0580695
Zou	0.0580136
Weizman	0.0579388
Ludwig	0.0579331
Siazon	0.0579187
Brazill	0.0576699
Grasso	0.0576619
Ackerman	0.0573641
McKinney	0.0573469
Kerrigan	0.0571737
Beckwith	0.0570623
"Tony George"	0.0570068
CCA	0.0570053
Byers	0.0569962
Guggenheim	0.0568705
Echols	0.0568321
Verniero	0.0567351
Mohammad	0.056553
Nzo	0.0565149
Sheinbein	0.05642
Bertelli	0.0563262
Nasrallah	0.0562764
Symington	0.0562591
Jarrell	0.0561448
Newhouse	0.056124
Andreas	0.0560749
Moma	0.0560329
))
(BLANTYRE (desc 1832.2) (sims
Windhoek	0.180161
Mbabane	0.175929
Gaborone	0.155439
Bishkek	0.141222
Bamako	0.135901
Durban	0.133608
Muscat	0.133604
"Nigerian capital"	0.130806
Ashkhabad	0.129941
Bulawayo	0.126616
Libreville	0.126499
Chisinau	0.123415
Maseru	0.122909
MAPUTO	0.12286
Kuching	0.12178
Cartagena	0.121113
Ljubljana	0.120837
Lome	0.119631
Vilnius	0.118358
Vladikavkaz	0.117589
Ouagadougou	0.117519
Midrand	0.113242
Dushanbe	0.111563
Lusaka	0.111046
Almaty	0.110915
Antalya	0.110148
"Port Elizabeth"	0.108757
Cardiff	0.108027
Sirte	0.107818
Luanda	0.107792
BRASILIA	0.107458
Kandy	0.10724
"Banja Luka"	0.106972
"Dar es Salaam"	0.106275
Yaounde	0.104968
Tbilisi	0.104883
Lubumbashi	0.104579
Ghent	0.102417
SANAA	0.10199
Abidjan	0.101224
"Egyptian capital"	0.100841
Jayapura	0.100484
Accra	0.100023
Krasnoyarsk	0.0999274
Tripoli	0.0998093
Astana	0.0991287
HARARE	0.098685
"Malaysian capital"	0.0986387
Pretoria	0.0976398
Makhachkala	0.0974974
Alma-Ata	0.0972258
"Bandar Seri Begawan"	0.0968939
Ndola	0.0967647
"ALMA ATA"	0.0961063
Tashkent	0.0955568
JOHANNESBURG	0.0945371
Rabat	0.094026
MANAMA	0.0940032
"Addis Ababa"	0.0939562
Doha	0.0938968
Algiers	0.0936979
Riyadh	0.0936348
Cebu	0.0931817
Valletta	0.0929486
Aqaba	0.0928709
Asuncion	0.0928344
"PETALING JAYA"	0.0908209
Conakry	0.0906674
KAMPALA	0.0900493
Kigali	0.0889668
Kisumu	0.0884596
BRATISLAVA	0.0884538
Beira	0.0881098
"Cape Town"	0.0878695
Minsk	0.0871676
Abuja	0.0869647
Cochabamba	0.0868069
TUNIS	0.0861668
Helsinki	0.0858335
Peshawar	0.0854532
Ibadan	0.0853065
CARACAS	0.0853037
Baku	0.0847589
BUCHAREST	0.0837552
Langkawi	0.0837146
Dodoma	0.0835522
LISBON	0.0831079
Christchurch	0.0822774
Entebbe	0.0819515
Chennai	0.0818347
Reykjavik	0.081248
Vientiane	0.0812027
"Santo Domingo"	0.0801898
Brazzaville	0.0801244
Kyoto	0.0795434
SOFIA	0.0794474
Podgorica	0.0792407
Yinchuan	0.0786791
Amman	0.0772159
Cologne	0.0772127
"San Salvador"	0.0767847
Bangui	0.0767461
Santiago	0.0765527
"Quebec City"	0.076317
"Victoria Falls"	0.0762549
Jeddah	0.0762295
Medan	0.0760932
Fukuoka	0.0758905
Yogyakarta	0.0755591
Auckland	0.0754451
"Abu Dhabi"	0.0754394
"Pulau Pinang"	0.0752034
Sarajevo	0.0744881
Denpasar	0.0740744
Honiara	0.0740394
Lucknow	0.0739563
Phuket	0.0737932
Hobart	0.0737847
Lahore	0.0731
Linz	0.0729756
Kitwe	0.0728359
Lausanne	0.0727308
Catania	0.0727084
Hyderabad	0.072598
Merida	0.0725748
Asmara	0.072435
TEGUCIGALPA	0.0721829
Kathmandu	0.0720166
Srinagar	0.0719863
Pattaya	0.0718793
Salzburg	0.0716426
Cyberjaya	0.0713372
Luxemburg	0.0712486
Kinshasa	0.0710097
"CHIANG MAI"	0.070532
Sapporo	0.0705253
Strasbourg	0.0703878
Murmansk	0.0703726
Khartoum	0.0700979
Katmandu	0.06979
PALERMO	0.0696539
Izmir	0.0695493
Sidon	0.069245
CHENGDU	0.0691798
Skopje	0.0690189
Klagenfurt	0.0689383
Lucerne	0.0686836
Bangalore	0.068571
Dunedin	0.0681913
Novosibirsk	0.0681729
Ramallah	0.0677513
Kabwe	0.0677021
Arusha	0.0676586
Yichang	0.0674632
Riga	0.067324
Moroni	0.0670193
Bujumbura	0.0663773
"Algerian capital"	0.06632
Alexandria	0.0660913
Baotou	0.0659516
Karachi	0.0658661
Turin	0.0657973
Guiyang	0.0655024
Tallinn	0.0652023
"Ulan Bator"	0.0651852
"Port Moresby"	0.064979
Baalbek	0.0649177
Subic	0.0648786
MONTEVIDEO	0.0645573
Yerevan	0.0645167
Florence	0.0642341
Dakar	0.064045
Nakuru	0.0639042
Nago	0.0637576
Basle	0.0635096
Managua	0.0630996
Mashhad	0.0625739
Monrovia	0.0624167
Bissau	0.062221
ZAGREB	0.062203
Urumqi	0.0621605
KIEV	0.0618836
"Port Harcourt"	0.0616943
Lyon	0.061663
NICOSIA	0.0615841
Tapachula	0.061557
Suva	0.0613583
Ipoh	0.061218
Jaipur	0.0612097
Davao	0.0612076
Rawalpindi	0.0610484
Bern	0.0609571
Bukavu	0.060928
Nagoya	0.060723
Quanzhou	0.0605874
Bergen	0.0602713
Beersheba	0.0600725
Changsha	0.0599532
Quito	0.0598103
Edinburgh	0.0597686
))
(blare (desc 1569.91) (sims
cacophony	0.0662978
cowbell	0.0649844
vandalization	0.0594722
trashing	0.0571699
playlists	0.0553018
Din	0.0543986
"church bell"	0.0536909
drumbeat	0.0529818
swapping	0.0515034
processional	0.0497723
cymbal	0.0496939
gibberish	0.049651
Zing	0.0487749
"sonic boom"	0.0468094
crescendo	0.046091
commotion	0.0443406
"alarm bell"	0.0443008
wailing	0.0440886
"Ninety-five percent"	0.0430687
"electric guitar"	0.0419833
downloading	0.0415201
playlist	0.0406105
))
(blasphemy (desc 3552.15) (sims
subversion	0.130998
libel	0.12228
infanticide	0.115665
"insider trading"	0.114108
"securities fraud"	0.111702
heresy	0.111168
defamation	0.106302
indecency	0.106133
treason	0.105393
racketeering	0.101014
shoplifting	0.100802
"mail fraud"	0.10078
sodomy	0.098475
"election fraud"	0.0984721
insubordination	0.0965174
adultery	0.0959063
extortion	0.0954199
"assault and battery"	0.093837
sedition	0.0900749
larceny	0.0899124
bribe-taking	0.0888908
"child abuse"	0.0886541
slander	0.0881407
"sexual harassment"	0.0881167
embezzlement	0.0871842
bribery	0.0865239
gunrunning	0.0860143
irresponsibility	0.0859609
stalking	0.0850106
"contempt of court"	0.0845852
plagiarism	0.0843799
disloyalty	0.0827717
obscenity	0.0825576
incitement	0.0818427
price-fixing	0.0803066
sabotage	0.0802759
"sexual assault"	0.079979
arson	0.079826
perjury	0.0793383
nepotism	0.0790349
rape	0.0789531
molestation	0.0785456
espionage	0.0783674
malpractice	0.0780501
cruelty	0.0776187
harassment	0.0776095
negligence	0.0755609
vandalism	0.0754423
contempt	0.0748297
"armed robbery"	0.0743522
hypocrisy	0.073752
bigotry	0.073645
anti-Semitism	0.073639
tampering	0.0734828
brutality	0.0733362
"tax evasion"	0.0728196
cowardice	0.0707594
piracy	0.0694953
"breach of contract"	0.0693594
desecration	0.0693518
spying	0.0693424
"high treason"	0.0692359
trespass	0.0687512
vulgarity	0.0685552
mischief	0.0683315
witchcraft	0.067997
Disobedience	0.0679093
"money laundering"	0.0678971
evasion	0.0677113
infringement	0.0674353
copout	0.0673469
promiscuity	0.0664909
idolatry	0.0663109
incest	0.0660102
obstruction	0.0653674
racism	0.0653346
influence-peddling	0.065234
"war crime"	0.0647516
maltreatment	0.0638946
insensitivity	0.0633168
intolerance	0.0631769
"disorderly conduct"	0.0631343
coercion	0.0629223
blackmail	0.0627307
misbehavior	0.0626709
forgery	0.0620796
felony	0.061769
persecution	0.0616119
thuggery	0.0612971
betrayal	0.0611815
"civil disobedience"	0.0609258
collusion	0.0608087
genocide	0.0603939
provocation	0.0603392
slur	0.0602347
barbarity	0.0599644
intimidation	0.0592962
hooliganism	0.0592881
malfeasance	0.0590211
misconduct	0.0589722
burglary	0.0589348
malice	0.0589195
misdeed	0.0584592
impropriety	0.0583839
Indiscipline	0.0583555
endangerment	0.058157
offence	0.0577816
manslaughter	0.0576467
treachery	0.0575757
oppression	0.0575149
misdemeanor	0.0571147
mistreatment	0.0567904
lunacy	0.0567559
sin	0.056749
"good Samaritan"	0.0562553
"double standard"	0.0562041
seduction	0.0559553
greed	0.0558769
wrongdoer	0.0558477
homicide	0.0554997
mockery	0.0553242
"line item"	0.0549993
complicity	0.0549162
abduction	0.0547736
mutiny	0.0545109
cover-up	0.0544854
dishonesty	0.0542713
transgression	0.0535699
Helms-Burton	0.0535301
"eminent domain"	0.053483
hijacking	0.0534571
rigging	0.0530804
Elitism	0.0530233
"hush money"	0.0528479
censorship	0.0527922
hubris	0.0527638
trampling	0.0525657
inhumanity	0.0525577
dereliction	0.0524449
wrongdoing	0.0524134
insanity	0.0521047
immorality	0.0520239
folly	0.0520095
foolishness	0.0519225
chutzpah	0.0517384
non-cooperation	0.0515028
savagery	0.0514575
Truancy	0.0509338
tort	0.0504997
vote-buying	0.0502494
pedophilia	0.0501794
stupidity	0.0501216
incompetence	0.0499526
misappropriation	0.0499103
nudity	0.0498484
prostitution	0.0495684
"civic duty"	0.0493908
heartbreaker	0.0493627
pornography	0.0493023
infidelity	0.0492306
"name calling"	0.0491498
victimization	0.0488111
xenophobia	0.0487293
crapshoot	0.0484804
"sour grapes"	0.0483961
"morality play"	0.0483947
disrespect	0.0482281
no-brainer	0.048052
criminality	0.0478419
serendipity	0.0477513
madness	0.0476334
"breach of trust"	0.0476201
arrogance	0.047456
irregularity	0.0471934
perjurer	0.0467815
Rapist	0.0467355
extremism	0.04668
euthanasia	0.0466348
sterilization	0.0462726
recklessness	0.0461375
homophobia	0.0459694
takings	0.0457558
fixing	0.0454095
"lying under oath"	0.0452437
"four-letter word"	0.0450441
misrepresentation	0.0449579
gunplay	0.0449436
infraction	0.0448659
fanaticism	0.0443916
"mass murder"	0.0443446
"death warrant"	0.0442974
"one line"	0.0442246
stalling	0.0439677
sadism	0.0439311
Porn	0.0438651
escapism	0.0436807
overkill	0.0435045
"intelligence operation"	0.0434798
epithet	0.0434774
voyeurism	0.043441
))
(Blass (desc 1284.71) (sims
Roberds	0.12184
GPU	0.0857286
Guthridge	0.0843638
Maher	0.0832084
Ftorek	0.0812588
Bogle	0.0798209
Brinkley	0.0779278
Conley	0.0777652
Skiles	0.0765819
COUTURE	0.0760964
AGL	0.0738549
WI	0.0713555
Miyake	0.0711996
Rahal	0.0686712
Takeshita	0.0678202
Ozersky	0.066413
nance	0.0654861
Ivester	0.0647655
Sheehy	0.0631829
Mondale	0.0626056
Baugh	0.0625452
Mattingly	0.0622985
Wendt	0.0617984
meatpackers	0.0617067
Grasso	0.0613217
Sykes	0.0610071
Whitsitt	0.0602987
Sherrill	0.0602674
Reimer	0.0597403
Gaynor	0.0591683
Maritz	0.0591009
Kurth	0.0590966
Rabe	0.0587981
Kearin	0.05866
McMullen	0.0573394
Arens	0.0572335
Borrego	0.0567264
DiCarlo	0.0564201
Teresi	0.0559885
Ralston	0.0559526
Jimy	0.0558331
Spector	0.0558118
Shahak	0.0557011
Dungy	0.0556733
Lehane	0.055473
McKeon	0.0554427
Whipple	0.0553304
Wolfson	0.0551954
Havelange	0.0551467
Sibneft	0.055052
Wynn	0.0550327
Dunleavy	0.0548881
Caldor	0.0547821
Rosen	0.0546515
Serra	0.0544427
Leventhal	0.0543657
Pryor	0.0540474
Spellman	0.0539406
Wetherell	0.0537762
"Bill Blass"	0.0536714
Meeks	0.053624
Flanagan	0.0535354
Nemtsov	0.053502
HILFIGER	0.0533602
Spring/Summer	0.0533319
Schieffer	0.0533289
Sarazen	0.0532563
Schafer	0.0532516
Kelleher	0.0532063
Boles	0.0531053
Daryl	0.0531008
Leedham	0.0530993
Montalvo	0.0530637
Cline	0.0529404
Bloch	0.0526817
"Con Ed"	0.0526645
HBOC	0.0526354
Schaefer	0.0524531
Udall	0.0523032
Epstein	0.0522727
Shoate	0.0520426
McDonnell	0.0519667
Pugh	0.0519219
SGI	0.0517999
Schulz	0.0517183
Schmalensee	0.0516967
Massey	0.0516577
McColl	0.0512093
Darnell	0.0512006
"de Charette"	0.0511841
Goldin	0.0511778
Sommer	0.0511127
Wasdin	0.0510674
Paulson	0.0508117
Fleischer	0.0507805
Troussier	0.0507412
Kerrigan	0.0507222
Gilmour	0.0507086
Walesa	0.0505365
Ziegler	0.0505043
Klestil	0.0504898
Sassa	0.0504176
McCormick	0.0503669
Tomba	0.0503547
Lasorda	0.050346
Spielman	0.050262
hourglass	0.0502596
Joyner-Kersee	0.0499874
"haute couture"	0.0499185
Seaver	0.0499016
Claiborne	0.0497363
Mercker	0.049599
Chmura	0.0495064
Maruyama	0.0494288
Wohlers	0.0490411
Mizrahi	0.0488912
Weisman	0.0487998
Ekeus	0.0487385
Parsons	0.0486678
Waddell	0.0486452
Chris-Craft	0.0486442
menswear	0.0486107
Samuelson	0.0485635
"KCP&AMP;L"	0.0482756
Seleznyov	0.0482653
Bishara	0.0481607
Hynes	0.0480779
Fendi	0.0480171
ISSEL	0.0478097
Passarella	0.0478073
"Van Dyke"	0.047764
Cloude	0.047628
"State Farm"	0.0475562
"Niagara Mohawk"	0.0474934
"space age"	0.0474109
Neilson	0.0473863
Caddell	0.0473132
Fuentes	0.0472394
Gartner	0.0472171
Korman	0.047211
Jaffe	0.0471956
Icahn	0.0471094
McLeod	0.0470392
Gutman	0.0470201
Riady	0.0469392
"Russ Springer"	0.0469073
"Dick Vermeil"	0.046805
Gullikson	0.0467414
Vasile	0.0467021
Benedetti	0.0466941
Lautenberg	0.0466675
Halston	0.0464107
"Alberto Tomba"	0.0464042
"golden rule"	0.0463911
Carollo	0.0463261
"Pat Mahomes"	0.0462079
Stratton	0.0461496
Ratner	0.0461352
Toysmart.com	0.0460995
Vermeil	0.0460974
Schottenheimer	0.0460392
Leyland	0.0458929
Mukora	0.0458908
Penney	0.0458893
Kimball	0.0458295
Heredia	0.045764
Dior	0.045692
Alltel	0.0456026
Neulander	0.045447
Ouattara	0.0454416
Jorgensen	0.0453969
Muckler	0.0453338
Rudman	0.0453018
sandpiper	0.0451623
retro	0.0451113
Rendell	0.0450855
Zambrano	0.04505
Aventajado	0.0450492
Polian	0.0450036
McKenna	0.0449404
Reel.com	0.0449179
Seizinger	0.044911
Azinger	0.0448964
Silverstein	0.0448811
Ruskin	0.0448133
Clancy	0.044766
"Saint Laurent"	0.044576
"Bausch &AMP; Lomb"	0.0444816
Holzman	0.0444163
Kazhegeldin	0.0444113
"Chuck McElroy"	0.0443863
NHRA	0.0443239
Autry	0.0442938
"Big Unit"	0.0442714
Berra	0.0441842
"Kenyan Government"	0.044146
Hartley	0.0441446
Waltrip	0.0441305
Barrionuevo	0.0440908
Phelan	0.0440467
))
(blast (desc 81475.2) (sims
explosion	0.287167
"bomb blast"	0.226368
bombing	0.188969
Quake	0.160381
crash	0.151103
bomb	0.150711
accident	0.150598
attack	0.148234
earthquake	0.143742
incident	0.135717
fire	0.132884
"car bomb"	0.132033
blaze	0.131866
Collision	0.128421
tornado	0.127611
shooting	0.125777
raid	0.12212
shot	0.118856
massacre	0.11649
riot	0.114845
homer	0.114366
shelling	0.113529
eruption	0.112317
killing	0.109535
storm	0.109396
temblor	0.107818
spill	0.107027
clash	0.104458
slaying	0.104291
"home run"	0.101914
disaster	0.10177
landslide	0.101399
"air raid"	0.100745
tremor	0.100277
ambush	0.0999715
collapse	0.099695
gunfire	0.0996189
mishap	0.0994618
detonation	0.0992592
strike	0.0982888
flood	0.0979803
tragedy	0.0978091
gunshot	0.097766
mudslide	0.0972479
assassination	0.0956399
barrage	0.0956296
burst	0.0955461
wreck	0.0918699
"flash flood"	0.0917478
rampage	0.0893815
"line drive"	0.0890349
bombardment	0.0878155
"solo homer"	0.087712
outbreak	0.0868452
Grenade	0.0860454
assault	0.0857094
wave	0.0854335
violence	0.0848295
firing	0.0843655
cyclone	0.0835631
leak	0.083003
shrapnel	0.0821266
derailment	0.0815501
hijacking	0.0811037
abduction	0.0807171
"nuclear explosion"	0.0806448
Death	0.0804227
bullet	0.0797462
fighting	0.0796046
volley	0.0794218
arrest	0.0791723
twister	0.0791425
"Hurricane Mitch"	0.0788238
rioting	0.0785479
robbery	0.077578
"grand slam"	0.0773829
kidnapping	0.0773373
hurricane	0.0770677
avalanche	0.0769726
spate	0.0766653
demonstration	0.0761534
downpour	0.0760464
plunge	0.0759137
murder	0.0748661
blow	0.0739799
Typhoon	0.0737055
carnage	0.0733922
"explosive device"	0.0732016
"heat wave"	0.0725304
coup	0.0723412
rocket	0.0722639
"free kick"	0.0720907
unrest	0.0717184
double	0.0716098
disturbance	0.0715459
tsunami	0.0710616
Rally	0.0708089
beating	0.0705674
surge	0.0705249
outburst	0.0703027
shootout	0.0702143
catastrophe	0.0701102
single	0.0700656
pitch	0.0699975
protest	0.0697141
missile	0.0693909
"sacrifice fly"	0.069277
debacle	0.0686275
rain	0.0685037
selloff	0.0684994
ball	0.068159
jolt	0.0679902
header	0.0679744
brawl	0.0679165
disappearance	0.0674515
"drive-by shooting"	0.0671298
airstrikes	0.0670949
snowstorm	0.0670926
wind	0.0669663
outage	0.0668227
"coup attempt"	0.066744
scare	0.0665711
shutdown	0.0662454
kick	0.066242
scandal	0.0661818
turmoil	0.0661799
skirmish	0.0659322
sell-off	0.06591
"Hurricane Georges"	0.0657811
"fly ball"	0.0656422
sinking	0.0655611
loss	0.0654975
breakdown	0.0653618
calamity	0.0653604
fireball	0.0653578
Mitch	0.0653296
epidemic	0.0653271
spree	0.0650839
"fatal accident"	0.0649263
announcement	0.0647147
drought	0.0645779
gust	0.064325
"economic crisis"	0.0639123
turbulence	0.0637153
seizure	0.0636819
triple	0.0635523
break-in	0.0634754
devaluation	0.0631947
arson	0.0631707
meltdown	0.0628321
atrocity	0.0628261
"forest fire"	0.0627282
pileup	0.0624505
aftershock	0.0624402
explosive	0.0624219
crackdown	0.0621503
poisoning	0.062032
theft	0.0619822
blackout	0.0617808
crime	0.0616717
encounter	0.0616542
wildfire	0.0616141
melee	0.0615398
slide	0.0613949
invasion	0.0612931
"air attack"	0.0611628
war	0.061026
confrontation	0.0610168
crisis	0.0609899
deluge	0.0609817
injury	0.0608929
action	0.0606501
arrival	0.0603559
"tidal wave"	0.0601014
leakage	0.0600208
operation	0.0599165
"Hurricane Floyd"	0.0598122
test	0.0597897
impact	0.0596729
debris	0.0595093
roar	0.0593335
attempt	0.0592015
scuffle	0.0592007
"heart attack"	0.0591747
noise	0.0590566
"corruption scandal"	0.0589739
conflict	0.0588407
"power failure"	0.0587823
flash	0.05836
fastball	0.0581704
bloodshed	0.0581461
Execution	0.0581047
stampede	0.0577226
"news conference"	0.0577109
offensive	0.0573795
holdup	0.0572976
"artillery fire"	0.0571367
failure	0.0570909
casualty	0.0569041
downturn	0.0568546
))
("blast furnace" (desc 1691.45) (sims
Colosseum	0.0780696
reactor	0.0751711
"oil refinery"	0.075141
"trunk road"	0.0735475
smelter	0.0731066
furnace	0.0730198
boiler	0.0702837
kiln	0.0699756
"ponderosa pine"	0.0690539
Radon	0.0669027
Turkmen	0.0648088
"transport ship"	0.0644495
combustion	0.0636677
"cotton mill"	0.0632365
ethylene	0.0619909
waterworks	0.0616582
"sugar refinery"	0.0613351
smelters	0.0610046
manhole	0.0609903
"particle accelerator"	0.0600253
"drinking fountain"	0.0593581
"fire hydrant"	0.0590271
"jet engine"	0.0589126
"athletic facility"	0.0589008
stockyard	0.0585526
"textile mill"	0.0582166
Sarin	0.0580239
sundial	0.0579098
condensate	0.0577973
wilting	0.0564641
"Angelo Peruzzi"	0.0563527
turbine	0.056094
forklift	0.0554908
"space heater"	0.0550687
"mushroom cloud"	0.0550277
Bund	0.0547747
"hydrogen sulfide"	0.0545374
"production line"	0.0540661
converter	0.0540056
"pumping station"	0.0534161
"steel mill"	0.0531207
octane	0.0531168
"Bay Bridge"	0.0520581
"three schools"	0.0516052
"white elephant"	0.0515481
midsummer	0.0513507
Reichstag	0.0512632
"summer house"	0.0511221
incineration	0.0509502
silo	0.0508361
Alonzo	0.0506447
noontime	0.0503502
"paper mill"	0.0502343
granary	0.0501605
"production facility"	0.0496419
"diesel engine"	0.0495683
"septic tank"	0.0494209
Filtration	0.0493729
"tire maker"	0.0491571
millstone	0.0491534
goalpost	0.0487559
LPG	0.0486797
biogas	0.0482073
"mainframe computer"	0.0480373
benzene	0.0478194
"public toilet"	0.0477693
"water project"	0.0476194
"gas well"	0.0474933
"copper mine"	0.0474711
sarcophagus	0.0474354
led	0.047323
parkland	0.0472741
Hanford	0.0472541
BLUETOOTH	0.046761
maquiladoras	0.0466318
"crowd control"	0.0466089
"blue whale"	0.0462724
A@@@s	0.0461058
MiGs	0.046052
"solar energy"	0.0458637
smokestack	0.0458114
"railway system"	0.0455518
substation	0.0454232
chimney	0.0452368
supercomputers	0.0450934
oxide	0.0450866
"neutron bomb"	0.0450294
Skoda	0.0449208
nunnery	0.0446701
"Unit @"	0.0446562
nitrogen	0.0445351
sawmill	0.0444632
burner	0.0444413
hatchery	0.0444091
"fuel cell"	0.0442685
Enron	0.0442225
"toy maker"	0.044185
"gas turbine"	0.0441424
"manufacturing plant"	0.044099
lawnmower	0.0439877
"storage tank"	0.0439783
maegashira	0.0438571
"trading floor"	0.043848
"steam locomotive"	0.0438223
Algonquin	0.0437546
"gas plant"	0.0436903
bhang	0.0436398
"inferiority complex"	0.0436308
"Mayon Volcano"	0.043596
chlorine	0.0435775
"steam engine"	0.0431766
repechage	0.0431346
archway	0.0430871
cellblock	0.0430748
"telephone network"	0.0430349
B-@s	0.043009
ammonia	0.0427516
"ski jump"	0.0426183
watchtower	0.0422466
brewery	0.0422141
windmill	0.0421788
canard	0.042157
"Damian Jackson"	0.0421216
clunker	0.0421093
Lighthouse	0.0420276
"billion dollar"	0.041949
hypermarket	0.0417665
"oil rig"	0.0417304
edifice	0.0417122
"pocket watch"	0.0416212
"lubricating oil"	0.0416048
minibuses	0.0415801
VX	0.0415713
Beehive	0.0415192
dumps	0.0414776
thoroughbred	0.0414744
Parthenon	0.0414635
oilfield	0.0414338
Nat	0.0413442
"radio telescope"	0.0412927
"water heater"	0.0412925
cofferdam	0.0412199
"Southwest Conference"	0.0412149
"No. @s"	0.0411643
AWACS	0.0411384
"nuclear energy"	0.0411378
"X-ray machine"	0.0410516
"nitric oxide"	0.0408496
Chevys	0.0407921
"wind tunnel"	0.040766
Miata	0.0407161
"place setting"	0.0407002
"sailing ship"	0.0405678
"woman's body"	0.0405619
interchange	0.0405586
"film maker"	0.0405387
toymaker	0.0404992
motherboards	0.0402969
"piece of cloth"	0.040202
Bathhouse	0.0401661
SDH	0.0400974
"power system"	0.0400902
pontoon	0.0400253
))
(blather (desc 2557.14) (sims
baloney	0.139604
drivel	0.137837
chatter	0.0885116
babble	0.0869813
crap	0.0803848
hokum	0.0782104
posturing	0.0712987
nonsense	0.0711437
playlist	0.0689089
hoopla	0.0674754
bluster	0.0672957
vitriol	0.0665999
psychobabble	0.0648383
"hue and cry"	0.0634168
tripe	0.063236
commotion	0.0621964
hand-wringing	0.0613716
mush	0.0596722
negativity	0.059648
ribbing	0.0592366
brinksmanship	0.0579001
chitchat	0.057699
chutzpah	0.0574052
superlative	0.0569741
escapism	0.0569624
silliness	0.056452
falsehood	0.0560407
fluff	0.0547717
junk	0.0545598
hyperbole	0.0544498
"waiting game"	0.0538795
conjecture	0.0536122
flak	0.0531611
platitude	0.0530917
axiom	0.0526587
guts	0.0526228
"background noise"	0.0522206
"detective work"	0.0520535
self-criticism	0.0516551
fuss	0.0516302
"heavy hitter"	0.0515852
mumbo-jumbo	0.0505232
slickness	0.0503578
"wishful thinking"	0.0499543
hypocrisy	0.049953
oomph	0.0497765
gimmickry	0.0497734
banter	0.0497321
hubbub	0.0485929
soul-searching	0.0485228
reticence	0.0483063
canard	0.0482882
PAP	0.048064
adjective	0.0477579
pronouncement	0.0476289
multimillionaires	0.0473559
"odds and ends"	0.0471286
peep	0.0469832
gumption	0.0468289
trickery	0.0468159
razzle-dazzle	0.0464472
"positive feedback"	0.0464021
Bombast	0.0463304
gimmick	0.0461031
"Philip Johnson"	0.0456769
soundbites	0.0455653
caveat	0.0454883
nastiness	0.0454861
screed	0.0454245
nicety	0.0451394
tidbit	0.0449656
"day of reckoning"	0.0449553
acrimony	0.0445489
trivia	0.0445321
"tall tale"	0.0442641
guesswork	0.0441668
gamesmanship	0.0441547
giddiness	0.0439348
"Passion play"	0.0439044
trapping	0.0438417
"talking head"	0.0438189
"free time"	0.0437469
bravado	0.0435289
trepidation	0.0432763
cannibalism	0.0432305
nostrum	0.042951
adrenaline	0.042931
"guessing game"	0.0428234
weirdness	0.0426996
"Michael Graves"	0.0425394
Vilification	0.0425332
Promos	0.0425131
doubter	0.0423692
fakery	0.0422603
clowning	0.0421878
finger-pointing	0.0421825
"beer drinker"	0.0419597
info	0.0418977
pomp	0.0418453
B.S	0.0417745
guessing	0.0417668
"character assassination"	0.0417542
"ad blitz"	0.0415041
celebs	0.0414988
fanfare	0.0414085
pratfalls	0.0411711
schlock	0.0411653
trash-talking	0.0410006
"name calling"	0.0409408
paraphernalia	0.040807
spiel	0.0407008
gusto	0.0406638
misinformation	0.0403522
potboiler	0.0402905
revisionism	0.0402813
stagecraft	0.0401236
"small talk"	0.0400622
))
(Blatter (desc 4460.09) (sims
Duisenberg	0.170405
Zeroual	0.167176
Nebiolo	0.160499
Milutinovic	0.159706
Velayati	0.157906
Stoyanov	0.156408
Ruehe	0.154581
"Sepp Blatter"	0.154449
Tsang	0.152388
Rifkind	0.152295
Fraga	0.152023
Chissano	0.148183
Diouf	0.148176
Jayakumar	0.146934
Camdessus	0.14611
Majko	0.145741
Wolfensohn	0.144932
Maslyukov	0.143674
Kasoulides	0.143104
Johansson	0.143021
Muoi	0.142005
Ciampi	0.139256
Cem	0.138803
Guterres	0.138528
Nazarbayev	0.137268
Azizah	0.136714
Bouteflika	0.136212
Ivanov	0.135974
Nasrallah	0.135691
Wahid	0.134571
Brundtland	0.134414
Hodler	0.134262
Klestil	0.134017
Constantinescu	0.133892
Bildt	0.133724
Seleznyov	0.133148
D'Alessandro	0.132929
Aventajado	0.132834
Aleman	0.132278
Shevardnadze	0.132013
Sezer	0.131215
Sergeyev	0.130357
Singson	0.129676
Zou	0.129267
Siazon	0.129215
Kwasniewski	0.12919
Alatas	0.129003
Koehler	0.128688
Moratinos	0.128214
Narayanan	0.128049
Zuma	0.127753
"de Charette"	0.127033
Wolfson	0.126185
Advani	0.126184
Waigel	0.125375
Samaranch	0.125329
Scharping	0.124469
Kasyanov	0.124434
Mordechai	0.124426
Estrada	0.1244
Yastrzhembsky	0.124372
Solana	0.124304
Denktash	0.124061
Fischer	0.123889
Eizenstat	0.123561
Nujoma	0.123247
Chavalit	0.122255
Prewitt	0.121195
Insulza	0.121045
Kumaratunga	0.12067
Tung	0.120237
Obasanjo	0.119672
Maskhadov	0.1195
Kajiyama	0.119401
Kinkel	0.119189
Mandelson	0.11916
Kharrazi	0.118962
Ghali	0.118542
Tarawneh	0.118465
Phieu	0.118311
Rafsanjani	0.118126
Kostov	0.117928
Abdel-Meguid	0.117852
Karimov	0.117761
Santer	0.117656
Malu	0.117284
Mbeki	0.116831
D'Alema	0.116777
Museveni	0.116443
Bulatovic	0.116409
Menem	0.11625
Nemtsov	0.115724
Jovanovic	0.115431
Goh	0.115226
Kennard	0.115099
Izetbegovic	0.115098
Patten	0.114838
Ammiano	0.114799
Ogata	0.114657
Mkapa	0.114567
Nzo	0.114464
Mikhailov	0.11402
Zeng	0.11399
Akayev	0.113979
Indyk	0.113878
Weizman	0.113353
Peres	0.113043
Hanley	0.11274
Zyuganov	0.112715
Rais	0.112679
Lahoud	0.112469
Supachai	0.112449
"Le Kha Phieu"	0.11241
"Pandeli Majko"	0.111847
Havelange	0.111729
Katsav	0.111361
Ikeda	0.110706
Azad	0.110314
Gullikson	0.110118
Dowd	0.110049
Meissner	0.109881
Kyprianou	0.109632
Bruton	0.109567
Corzine	0.109353
Klima	0.109214
Dodik	0.10907
Nateq-Nouri	0.109003
McCurry	0.108938
Lau	0.108826
Vasile	0.108786
Beilin	0.108706
Saleh	0.108397
Okada	0.108269
"John Sweeney"	0.108178
Stepashin	0.108015
Hashimoto	0.108014
Zadornov	0.107974
"Cesar Gaviria"	0.107875
Demaci	0.107761
Mauro	0.107715
Schuessel	0.107659
"De Klerk"	0.107556
Merkel	0.10747
Ahern	0.107404
Habibie	0.107312
Trimble	0.107138
Ivester	0.10679
Lebed	0.106757
Hrawi	0.106664
Taft	0.106603
Dini	0.106414
Chiluba	0.106304
Leavitt	0.1063
Pustovoitenko	0.106218
Manley	0.106165
Demirel	0.106004
Primakov	0.105972
Clerides	0.105813
Chirac	0.105662
Chubais	0.10566
Ghalib	0.105415
Lukashenko	0.10513
Putin	0.105094
Chevenement	0.105075
Masire	0.104895
Lafontaine	0.104894
Schaeuble	0.104771
Moscoso	0.104436
Mahuad	0.104389
Scalfaro	0.104253
Levitt	0.104032
Mugabe	0.103918
"Ricardo Alarcon"	0.103838
Murad	0.103753
Naumann	0.103733
Sassa	0.103635
Molinari	0.10343
Guei	0.103248
Kerik	0.103202
Kuchma	0.103178
Prodi	0.102915
Sumaye	0.102897
Rau	0.102895
Rugova	0.102806
Herzog	0.102703
Noboa	0.102693
Torricelli	0.10263
Keegan	0.102519
Vieira	0.102481
Grasso	0.102477
Khatami	0.102019
Moi	0.101497
"Jiang Zemin"	0.101486
Lockyer	0.101464
Pangalos	0.101451
Koirala	0.1014
Ramos	0.101393
Joklik	0.101393
Holl	0.101291
"Wim Duisenberg"	0.10129
Wenger	0.101219
Khamenei	0.101213
Malan	0.101136
Gurirab	0.101091
Yavlinsky	0.101031
Abubakar	0.100891
Shi	0.100787
Pelosi	0.100765
Rong	0.100714
Chernomyrdin	0.100528
Beazley	0.100468
Ecevit	0.100453
Lipponen	0.100443
Misuari	0.100413
Sponeck	0.100041
Safir	0.100014
))
(Blaylock (desc 1927.15) (sims
"Mookie Blaylock"	0.126666
Stoudamire	0.105011
MARBURY	0.0981041
"Mark Jackson"	0.0969848
Kidd	0.0964411
Muckler	0.0880256
McCloud	0.0863704
Hardaway	0.0852334
STALEY	0.0851847
Hornacek	0.0846211
Garrity	0.0843047
Cleaves	0.0842851
Baerga	0.0809831
Iverson	0.0800673
"Detlef Schrempf"	0.0794087
Gossage	0.0791323
Mutombo	0.0786206
Horry	0.0785335
"Tim Hardaway"	0.0782272
"Chris Warren"	0.0780766
Robson	0.0778492
"Rasheed Wallace"	0.077846
"Charles Oakley"	0.0776719
Chelios	0.0761346
Jamison	0.076104
Pippen	0.075782
Ince	0.0747683
Brandon	0.0746363
Dench	0.074445
Ceballos	0.073956
Surhoff	0.0736687
"Van Exel"	0.0717032
"Sean Elliott"	0.0711753
Kapono	0.0710268
Barkley	0.0705701
Schrempf	0.0697593
Garnett	0.0696789
Battie	0.0694556
McDyess	0.0681672
Mullin	0.0680683
Hawkins	0.0675929
Appier	0.0671876
Hunsicker	0.0671567
Calloway	0.0668053
"Glen Rice"	0.0652895
Mashburn	0.0646731
El-Amin	0.064427
Tarver	0.0642984
Nesby	0.0636116
Greer	0.0631165
"Reggie Miller"	0.0627975
Roenick	0.0626628
Weatherspoon	0.0626576
Gatling	0.0625091
Kittles	0.0624704
Skiles	0.0624241
Guthridge	0.0620624
Stackhouse	0.0620309
Raines	0.0618937
"Derek Fisher"	0.0615619
Payton	0.0607881
Lafleur	0.0607018
nance	0.0606761
Finley	0.0606065
Blount	0.0598792
Langdon	0.0598076
"Mark Messier"	0.0598036
Hollins	0.0596485
Bibby	0.0595865
Larkin	0.0595088
Henning	0.0589909
Dickerson	0.0588608
"Ron Mercer"	0.0588277
Inhofe	0.0587577
"Todd Walker"	0.0587423
Kukoc	0.0586004
"Jason Garrett"	0.058426
Odom	0.0582875
Gilkey	0.0581802
Duran	0.0580205
Gottlieb	0.0579072
Kasich	0.0576904
Brister	0.0575815
Maggert	0.0575625
Renteria	0.0575153
Croshere	0.0574291
Aventajado	0.0571079
Watson	0.0571001
Moiso	0.0570115
Nowitzki	0.0569738
Havelange	0.0568788
Francis	0.0568711
"John Stockton"	0.0567609
Olajuwon	0.0565491
Holloway	0.0565389
Lacroix	0.0565386
Nunez	0.0564321
Swoopes	0.0563621
Lawton	0.0563243
Elie	0.0563225
Granville	0.0562356
"Eric Young"	0.0561209
Lobo	0.0560025
Wheatley	0.055849
Lue	0.0556523
"Glenn Robinson"	0.0556506
Boone	0.0555262
Holdsclaw	0.0552925
Abreu	0.0547117
Iger	0.0546997
Abdur-Rahim	0.0546187
Mukora	0.0546111
Santangelo	0.0546104
Grbac	0.054608
Laperriere	0.0545902
Woolley	0.0545489
Asprilla	0.0544909
Milutinovic	0.0543748
Murrell	0.0543731
Lawrie	0.054327
Vieri	0.0542859
Recchi	0.0542652
Faulk	0.0542634
Laettner	0.0542617
Sabonis	0.0542276
Lopez	0.0540844
"Warren Moon"	0.0539362
Mathis	0.0539175
Frye	0.0538782
"Dirk Nowitzki"	0.0538701
Upshaw	0.0537952
Blake	0.0537152
Gretzky	0.0535702
"Cokie Roberts"	0.053553
Gugliotta	0.0535365
"Tom Seaver"	0.053527
"Jason Kidd"	0.0534006
Szczerbiak	0.053362
Krajisnik	0.0531813
Sasser	0.0531633
Primeau	0.0531139
"Joey Cora"	0.0529603
Bowen	0.0528657
Burrell	0.0528435
Lieberthal	0.0527751
Yzerman	0.0527539
Firefly	0.052664
Daigle	0.052478
Cora	0.052403
Cummings	0.0522669
Maruyama	0.0522455
Soliah	0.0521579
Irvin	0.0520707
"Robert Horry"	0.0520281
Perrot	0.051999
Elliott	0.0519899
Kilborn	0.0518739
"Brad Penny"	0.0517492
Chevenement	0.0517062
Oliver	0.0515971
Lindros	0.0515292
BARNICLE	0.0513121
Konerko	0.0513027
Longo	0.0512404
Furcal	0.0511042
Dorsett	0.0510877
Habib	0.0510714
"Terry Porter"	0.0510429
Cedeno	0.0509733
Stokes	0.0509326
Avery	0.0509185
"Brooke Bennett"	0.0508844
Gutierrez	0.0508464
Mobley	0.0507608
"Ian Wright"	0.0506882
"Jason Terry"	0.0506552
"Elden Campbell"	0.0506092
Caddell	0.050536
Barrasso	0.0504933
Zeile	0.0504887
"Avery Johnson"	0.0503871
Petkovsek	0.0503813
Rojas	0.0501663
"Derek Anderson"	0.0500589
"moving van"	0.0500504
Atler	0.0500189
Resendez-Ramirez	0.049939
Carlos	0.0499015
"Ron Harper"	0.0498296
Burke	0.0497831
Newhouse	0.0497087
Smolinski	0.0496814
USTA	0.0495517
Arroyo	0.0495446
McCaffrey	0.0493961
"Rickey Henderson"	0.0493581
Perkins	0.0493378
Wilkens	0.0493331
"Lester Archambeau"	0.0492066
"Tee Martin"	0.0491995
))
(blaze (desc 34844.3) (sims
wildfire	0.253521
fire	0.228285
"forest fire"	0.199284
"brush fire"	0.188784
explosion	0.155504
flame	0.143011
inferno	0.139916
blast	0.131866
riot	0.125338
tornado	0.114239
crash	0.110895
"bomb blast"	0.110328
Quake	0.10915
flood	0.108983
landslide	0.108894
spill	0.108413
"flash flood"	0.108094
earthquake	0.108084
mudslide	0.106262
storm	0.105878
conflagration	0.104156
accident	0.101054
eruption	0.096914
rioting	0.0967921
bombing	0.0927613
outbreak	0.0921735
incident	0.0909981
epidemic	0.0904401
disaster	0.0897275
fireball	0.0887769
firestorm	0.0884638
clash	0.0871574
cyclone	0.0869281
flooding	0.0864804
Collision	0.0861485
temblor	0.0861029
unrest	0.084832
"heat wave"	0.0847895
mishap	0.084663
shelling	0.083891
fighting	0.083519
Typhoon	0.0820667
calamity	0.0820222
avalanche	0.0815487
"car bomb"	0.0813394
twister	0.0811771
tremor	0.0810862
"chain reaction"	0.0808169
melee	0.0799386
rampage	0.0795566
downpour	0.0794364
snowstorm	0.0790133
burst	0.0778402
shooting	0.0775567
tragedy	0.0775234
wreck	0.0775173
violence	0.0765712
sandstorm	0.0755108
hurricane	0.0753462
famine	0.0751167
raid	0.0751138
Thunderstorm	0.074897
massacre	0.0743503
wave	0.0741955
"Hurricane Mitch"	0.0735486
bomb	0.073342
catastrophe	0.0730715
"tidal wave"	0.0725151
barrage	0.0722547
collapse	0.0719073
pileup	0.0718721
rain	0.0717832
stampede	0.0707918
"Hurricane Georges"	0.0707044
"air raid"	0.0704525
turmoil	0.0703397
gunbattle	0.0703294
leak	0.0702266
pandemic	0.0701903
floodwaters	0.0701872
gunfight	0.0693074
"civil war"	0.0689386
killing	0.068734
arson	0.0684683
drought	0.0682981
brawl	0.0680407
gunfire	0.0677385
rainstorm	0.0673833
disturbance	0.0672131
bonfire	0.0665738
selloff	0.0663364
surge	0.0662543
chaos	0.0659824
skirmish	0.0658644
frenzy	0.0658006
firefight	0.0654206
looting	0.0652353
derailment	0.0652071
ambush	0.0647885
bombardment	0.0642735
insurgency	0.064206
debacle	0.0641988
conflict	0.0640678
"power failure"	0.0640624
spate	0.0639448
tsunami	0.0638713
sinking	0.0637733
shootout	0.0637634
assault	0.0632548
sell-off	0.063135
Haze	0.0628409
demonstration	0.0623264
"explosive device"	0.0622819
"economic crisis"	0.0620705
slaying	0.0615599
scare	0.0614697
spree	0.061294
outage	0.0611404
firefighters	0.0610412
confrontation	0.0606617
volcano	0.0605875
gunshot	0.0605186
crises	0.0604052
scandal	0.0603245
flash	0.0602225
controversy	0.060193
fracas	0.0600271
smoke	0.0600122
crisis	0.0599062
weather	0.0596748
Mitch	0.0595989
bloodshed	0.0595074
rebellion	0.0591578
"acid rain"	0.0590098
"short circuit"	0.0589054
slide	0.0587938
lightning	0.0582703
"Hurricane Floyd"	0.0581348
bloodbath	0.057604
desertification	0.0575716
cloud	0.0575646
"high water"	0.0575018
meltdown	0.0570158
Death	0.0569208
pollution	0.0568988
panic	0.0568359
protest	0.0567681
firing	0.0566498
shutdown	0.056461
"drive-by shooting"	0.0563843
breakdown	0.0562629
wind	0.0560537
flare-up	0.0560466
locust	0.0560374
firework	0.0559778
"air pollution"	0.0559213
uprising	0.0557897
poisoning	0.0557096
shower	0.0555847
disease	0.0555824
outburst	0.0555374
downturn	0.055527
revolt	0.0554927
scuffle	0.0553857
furor	0.055169
Snowfall	0.0551156
blackout	0.0550956
"arms race"	0.0548125
"race riot"	0.054519
slump	0.0541733
walkout	0.0541625
plume	0.0539877
inflation	0.0539827
recession	0.0539758
"oil slick"	0.0538802
carnage	0.0538408
upheaval	0.0538311
detonation	0.0537809
pest	0.0537651
deluge	0.0537391
heat	0.0536217
"corruption scandal"	0.0534516
infestation	0.0533661
"fatal accident"	0.0533496
"plant disease"	0.0533233
turbulence	0.053111
devaluation	0.0530604
virus	0.0530203
torrent	0.0527281
forest	0.0526762
tide	0.0526682
ember	0.0525947
firebomb	0.0525838
"price war"	0.0525832
fume	0.0525186
crackdown	0.0524952
rioter	0.0524077
"storage tank"	0.0523865
escalation	0.0523811
break-in	0.0517854
))
(blazer (desc 28092.8) (sims
"Trail Blazers"	0.16383
jacket	0.159401
pacer	0.155449
sweater	0.149147
trouser	0.148811
"leather jacket"	0.148372
"polo shirt"	0.148316
shirt	0.148272
Lakers	0.146252
Sonics	0.141473
turtleneck	0.141107
"Portland Trail Blazers"	0.138785
Hornet	0.138477
pant	0.137454
vest	0.137407
"dress shirt"	0.13706
coat	0.135705
piston	0.135647
sixer	0.135643
Timberwolves	0.133838
spur	0.132705
sweatshirt	0.132566
"sports jacket"	0.13227
pullover	0.132265
Knicks	0.130326
clipper	0.128687
loafer	0.128515
Celtics	0.127377
Supersonics	0.126729
slack	0.126719
maverick	0.126471
skirt	0.126459
blouse	0.126239
Portland	0.125427
Raptor	0.124372
jean	0.121415
cardigan	0.120411
"business suit"	0.120356
wildcat	0.119016
overcoat	0.11843
hawk	0.117332
husky	0.116387
"pants suit"	0.11525
grizzly	0.114988
beret	0.113384
"sport shirt"	0.113184
pantsuit	0.112874
tunic	0.11113
"cowboy boot"	0.110557
bruin	0.110197
Boilermakers	0.110104
"blue devil"	0.109712
T-shirt	0.109626
khaki	0.109137
"Tar Heels"	0.108914
bull	0.10689
dress	0.106759
jumpsuit	0.106254
cavalier	0.106019
windbreaker	0.10573
Trojan	0.104694
"blue jean"	0.103256
scarf	0.103086
"baseball cap"	0.102661
"Miami Heat"	0.102341
suit	0.102053
"Houston Rockets"	0.102032
suspender	0.102002
nugget	0.101768
Sooners	0.101116
hat	0.101027
"Los Angeles Lakers"	0.100539
sock	0.0998348
"Indiana Pacers"	0.0994017
"cowboy hat"	0.0981375
Hawkeyes	0.0978049
sabre	0.0977007
bronco	0.0973724
waistcoat	0.097275
Spartan	0.0969555
Eagles	0.0968562
raincoat	0.0960789
"sweat pants"	0.0960355
buckeye	0.0959358
Longhorn	0.0959254
Padre	0.095871
Cavs	0.0957868
Sparks	0.0948686
comet	0.0946684
oiler	0.0942978
robe	0.0941958
"trench coat"	0.0941389
Redskin	0.0941331
"tennis shoe"	0.093878
parka	0.093675
ASTROS	0.0935149
slacks	0.0930764
Cornhusker	0.0928213
matador	0.0926311
Jazz	0.0922039
Seahawks	0.0919673
Pantsuits	0.0918672
"Phoenix Suns"	0.0917544
"Sacramento Kings"	0.0917101
Huskers	0.0917053
Poncho	0.0916988
"Red Wings"	0.0914502
bulldog	0.0912752
BEARS	0.0904845
knickers	0.0903345
falcon	0.0902966
flyer	0.0902715
tuxedo	0.0901974
tights	0.0901122
gamecock	0.0900866
Seminoles	0.0898028
apron	0.0897711
packer	0.0896815
"San Antonio Spurs"	0.0894293
sneaker	0.0885194
Gators	0.0883908
necktie	0.0880235
cowboy	0.0877138
Utah	0.0877059
pajama	0.0876812
boot	0.0876283
cardinal	0.0874347
"Utah Jazz"	0.0874286
Steelers	0.0872447
Canuck	0.0872088
sandal	0.0870024
LSU	0.0866452
"Red Storm"	0.0865471
"bow tie"	0.0864924
fedora	0.0864226
Jayhawks	0.0862956
devil	0.0862123
Indiana	0.0860742
rocket	0.0858924
"Michigan State"	0.085507
wizard	0.0854028
"Red Sox"	0.0853766
Starzz	0.0847439
ram	0.0845379
panther	0.0844581
"Golden State"	0.084314
dodger	0.0843042
Giants	0.0842936
badger	0.08416
Mets	0.0841599
MetroStars	0.0838569
"Chicago Bulls"	0.083746
Yankee	0.0837082
"Atlanta Hawks"	0.0836313
diamondback	0.0835881
Wolverine	0.0835769
"New York Knicks"	0.083539
brave	0.0835073
pants	0.082707
A's	0.0820495
dolphin	0.0818566
sunglasses	0.0818137
jersey	0.0817382
ranger	0.0817222
uniform	0.0813782
bearcat	0.0813693
Pepperdine	0.0813553
"Detroit Pistons"	0.0811436
Orioles	0.0811077
shoe	0.0809547
"black tie"	0.0809316
buck	0.0808801
"bathing suit"	0.0807948
Phillies	0.0807088
"White Sox"	0.0806916
Bengals	0.0805073
undershirt	0.0804287
Minutemen	0.0804183
"Boston Celtics"	0.0802003
bellbottoms	0.0801535
cub	0.0800847
Viking	0.079988
gown	0.0796937
"San Antonio"	0.0795932
shawl	0.0793521
Phoenix	0.0792291
coyote	0.0792057
mariner	0.0790311
UConn	0.0789426
corduroy	0.0788852
"cocktail dress"	0.0788233
islander	0.0786569
Sacramento	0.0785899
patriot	0.0784971
cougar	0.0784143
Royals	0.0782906
Minnesota	0.0782491
duck	0.0782035
"Iowa State"	0.07804
Vols	0.0780393
))
(Blazevic (desc 983.187) (sims
Talebi	0.148816
Keegan	0.132028
Maldini	0.130404
Yastrzhembsky	0.129424
Wenger	0.128224
DiCicco	0.12366
Naumann	0.123387
Venables	0.123202
Hiddink	0.118169
Yadav	0.117978
Ruehe	0.117838
Zagallo	0.117794
Andreessen	0.115447
Passarella	0.115168
Rossotti	0.113947
Bhattarai	0.112156
Rodionov	0.110492
Ribbeck	0.108353
Kesri	0.107916
Kasoulides	0.105056
Velayati	0.103564
Arens	0.103521
PBSI	0.102161
Scharping	0.10207
Neilson	0.101964
Jacquet	0.101447
Ruthardt	0.100609
Holl	0.10058
Malu	0.100109
Azad	0.10009
Hauser	0.0994021
Tanaka	0.0992817
Paxon	0.0991364
Zambrano	0.0983673
Wilhelm	0.0981908
"La Russa"	0.0965463
Popovich	0.0965373
Havelange	0.0963441
Kessler	0.0962897
Rothenberg	0.0960664
Milbury	0.095835
Meissner	0.0957612
Goldin	0.0945623
Mineta	0.0939264
Severino	0.0937205
Aoki	0.0936773
Menard	0.0935777
Babcock	0.0934937
Hoddle	0.0934065
Troussier	0.0933721
Eizenstat	0.0930879
Vogts	0.0929833
Juma	0.0929755
Vialli	0.0926486
Gardiner	0.0926087
"Bora Milutinovic"	0.0920684
Ivester	0.0916331
Aventajado	0.0910339
Jayakumar	0.0906504
Sato	0.0895195
Akbar	0.0883124
Mackey	0.0882286
Boueiz	0.0877192
"Brian Cashman"	0.0872081
McGuinness	0.0871237
Westendorp	0.0862902
Sampson	0.0860062
"National Sports Council"	0.0858531
Harmoko	0.0857991
D'Alessandro	0.0857344
Ciampi	0.0856361
hodgson	0.0856131
Milutinovic	0.0855784
Leyland	0.0854946
Cha	0.0853878
Maslyukov	0.0852726
Fleischer	0.085165
Okada	0.0850264
Ackerman	0.0847533
Modise	0.0846813
Murayama	0.08445
Grasso	0.0842077
Agca	0.083747
Fernandes	0.0836814
Hybl	0.0836654
Tarrin	0.0834542
Hightower	0.0834476
Teresi	0.0832624
Lari	0.0832005
Dunleavy	0.0830932
Eubanks	0.0829388
Gaston	0.0828967
"U.S. Soccer Federation"	0.0827797
Leahy	0.0826345
Molinari	0.0825951
Napolitano	0.0825779
Sheehan	0.0824616
Ozawa	0.0824287
Sahnoun	0.0818438
Iglesias	0.0816432
"Lee Hsien Loong"	0.0814704
Vasile	0.081118
O'Neil	0.0809602
Tomjanovich	0.0808918
Jarvis	0.0808057
Tomey	0.0806535
Rifkind	0.0806017
Ratner	0.0804508
Baer	0.0801205
Sorensen	0.080007
O'Connell	0.0799307
Zadornov	0.0798988
Markovic	0.0798164
Villanueva	0.0796356
Edelstein	0.0795479
Snipes	0.0793491
Sumaye	0.07923
Ohlmeyer	0.0792012
Mikhailov	0.0788886
Siazon	0.0788855
Chappell	0.0784221
Mandelson	0.0784198
Koirala	0.0782956
Komura	0.0782105
Hawke	0.078061
Nemtsov	0.0779346
Peretz	0.0776668
Gilman	0.0775248
Orban	0.0775174
CEC	0.0773615
Kazhegeldin	0.0772475
Dodik	0.0772429
Maurizi	0.0771149
Ashrawi	0.0771133
Tarawneh	0.0769997
Alves	0.0767719
Kasyanov	0.076696
Sassa	0.0766771
Yazdi	0.0766726
Drysdale	0.0764655
Hargrove	0.0763812
Mowlam	0.0763238
Shevardnadze	0.0759542
Galvin	0.0759137
Keady	0.0756994
Schottenheimer	0.0756239
Pruett	0.0755846
Alatas	0.0755333
Thapa	0.0754787
Silas	0.0752081
Heinrichs	0.0751027
Fuhrman	0.0750687
Cleese	0.0750651
Maharaj	0.0749778
Wiatt	0.0748634
"Yuri Maslyukov"	0.0748429
"National Thoroughbred Racing Association"	0.0747139
"de Charette"	0.0746213
Patel	0.0744794
Seselj	0.0742394
Bulatovic	0.0742059
Sergeyev	0.0736316
Gullit	0.0734013
Musa	0.0732561
"Alexander Shokhin"	0.0731431
"De Klerk"	0.073025
Solich	0.0730098
Reichel	0.0729356
Bruton	0.0729113
Camacho	0.0726987
Guterres	0.0726451
Alarcon	0.0724178
Khalil	0.0723619
Havel	0.0722947
Moratinos	0.0721021
"Orlando Mercado"	0.0720877
Nasrallah	0.0719704
"Donna Shalala"	0.0717875
Glaser	0.0717574
Brogna	0.0714327
Koskinen	0.0713165
Iliescu	0.0712083
"Salim Hoss"	0.0711891
Koop	0.0709591
Malan	0.0709587
Rubinstein	0.0709354
"U.S. Defense Department"	0.0707895
"Mikhail Kasyanov"	0.0707791
Kirkpatrick	0.0707565
Waigel	0.0704939
Torvalds	0.0704626
Modell	0.0704373
Glickman	0.0703945
Lamberth	0.0703359
"Richard Williams"	0.070315
Ebersol	0.0702507
Whipple	0.0700926
Keenan	0.0700561
Xanana	0.0699477
Ong	0.0698949
))
(bleach (desc 8263.1) (sims
detergent	0.183958
disinfectant	0.139804
chlorine	0.120532
vinegar	0.120304
"laundry detergent"	0.11453
ammonia	0.108517
soap	0.10624
cleaner	0.103863
"baking soda"	0.102075
shampoo	0.0970176
electrolyte	0.0913375
thinner	0.0910099
acid	0.0905989
methanol	0.0883585
toothpaste	0.0874871
solvent	0.0839591
preservative	0.083726
cleanser	0.0829827
remover	0.0798922
Clorox	0.0795784
"hydrogen peroxide"	0.079421
glue	0.0781165
chemical	0.077232
"nitric acid"	0.07656
formaldehyde	0.0762048
sealer	0.0744962
insecticide	0.0737456
Liquid	0.0736643
"steel wool"	0.0720237
sponge	0.0713131
fluid	0.0705967
fertilizer	0.0700411
"food coloring"	0.069544
pesticide	0.0693339
cornstarch	0.0685357
paraffin	0.0680949
cyanide	0.0677767
herbicide	0.0672222
mouthwash	0.0669019
salt	0.0666751
"vegetable oil"	0.0665709
alcohol	0.0663571
nitrogen	0.06526
lotion	0.0650639
"lemon juice"	0.0647341
sugar	0.063566
iodine	0.062993
"hot chocolate"	0.0619404
propellant	0.0617253
nutrient	0.0611477
"electric shock"	0.0608663
polymer	0.0608531
"olive oil"	0.0604348
Sewage	0.0603749
"orange juice"	0.0599976
soda	0.0599165
honey	0.0595426
toothbrush	0.058676
isotope	0.0586322
antifreeze	0.0585798
perfume	0.058183
yeast	0.0578495
"corn syrup"	0.0578271
adhesive	0.057721
poison	0.0574039
"toilet paper"	0.0573286
kerosene	0.0571997
gasoline	0.0569601
stain	0.0568516
ketchup	0.0566156
powder	0.0565936
margarine	0.0564375
"motor oil"	0.0561733
wax	0.0560007
urine	0.0558277
additive	0.0553949
propane	0.0552821
silicone	0.0552502
urea	0.0551802
buttermilk	0.0551346
"egg white"	0.0548406
Gatorade	0.0547507
olestra	0.0546936
"paper towel"	0.0546479
foam	0.0545731
"spring water"	0.054409
acetone	0.0543896
starch	0.054322
mayonnaise	0.0541813
"cooking oil"	0.0540895
oxygen	0.0540404
rum	0.0537849
compost	0.0536028
"hot sauce"	0.0533878
ink	0.0533786
"canned goods"	0.0533752
flour	0.0530795
aspirin	0.0530438
deodorant	0.0527079
"citric acid"	0.0526707
"fruit juice"	0.0526204
"insect repellent"	0.0523444
towel	0.0517246
turpentine	0.0515891
"water filter"	0.0515291
lubricant	0.0514958
vermouth	0.0512098
"powdered milk"	0.0510305
anesthetic	0.0508792
"soft drink"	0.0505016
"growth hormone"	0.050417
"beef stock"	0.0503566
"tomato sauce"	0.0502976
benzene	0.0501525
"lime juice"	0.0501304
"brown sugar"	0.0498899
vitamin	0.0497146
Evian	0.0495218
broom	0.0494655
chloride	0.0492072
sulfur	0.0491536
"soy sauce"	0.0490573
"mineral water"	0.0489436
"peanut oil"	0.0487022
arsenic	0.0486905
antibiotic	0.0485503
diaper	0.048501
marinade	0.0481907
"grapefruit juice"	0.0481321
cream	0.0480576
cornmeal	0.0478369
"sour cream"	0.0476977
"tap water"	0.0476072
"wheat flour"	0.0475384
spice	0.0474529
sedative	0.0473143
lard	0.0470977
sandpaper	0.0466647
"rocket fuel"	0.0466189
Kleenex	0.0466063
sweetener	0.0465201
miso	0.0464942
juice	0.0461168
"gas stove"	0.0460936
cosmetic	0.0459424
"central heating"	0.0456897
Seltzer	0.045685
flavoring	0.045663
"carbon dioxide"	0.0456484
"dry ice"	0.0455679
"ice water"	0.0454677
fungicide	0.0454419
syrup	0.0452858
"nitrous oxide"	0.0449286
grease	0.0448272
GHB	0.0448021
butter	0.0447952
telomerase	0.0447844
filler	0.0445572
"chicken broth"	0.0444241
nitrate	0.0444017
tequila	0.0443601
"garden hose"	0.0442975
"specialty chemical"	0.0441268
"dog food"	0.0440877
"heavy cream"	0.0440305
"hair spray"	0.0436197
polyurethane	0.0436057
"chicken stock"	0.0433571
"barbecue sauce"	0.0432858
bucket	0.0431122
vodka	0.0430916
seaweed	0.0429302
liquor	0.0428076
widget	0.0425876
lentil	0.0421768
"egg yolk"	0.0421411
"cake mix"	0.0420506
herb	0.0419668
yogurt	0.0419558
resin	0.0419141
lemonade	0.0418962
beverage	0.0417953
epoxy	0.0417934
wastewater	0.0417645
"cayenne pepper"	0.0417574
"canned food"	0.0415999
barley	0.0415632
booze	0.0415524
"synthetic fiber"	0.0415504
candle	0.0415146
"iced tea"	0.0412949
morphine	0.0412383
seasoning	0.0412038
enzyme	0.0411028
utensil	0.0410548
pellet	0.040869
Jell-O	0.0407646
"green tea"	0.0407402
cocoa	0.0407232
))
(bleachers (desc 19885.8) (sims
"upper deck"	0.238245
"second deck"	0.203687
Grandstand	0.160791
bullpen	0.141826
fence	0.12836
pavilion	0.123158
leftfield	0.118345
"right field"	0.115787
seat	0.10941
rightfield	0.108844
scoreboard	0.108826
right-center	0.104948
"left field"	0.100806
"box seat"	0.0972516
wall	0.0903638
flagpole	0.0886835
"center field"	0.0869113
dugout	0.079074
"folding chair"	0.0776094
left-center	0.0775122
porch	0.0775081
pew	0.0765009
"press box"	0.0748478
pole	0.0731014
railing	0.0722101
balcony	0.071323
concourse	0.0684486
outfield	0.0663463
"parking lot"	0.0655208
armchair	0.0643487
"picnic area"	0.0624297
clubhouse	0.0617985
row	0.0615707
stool	0.0610466
bunker	0.0610443
"waiting room"	0.0601369
chair	0.0596206
Alley	0.0594699
divot	0.0592969
auditorium	0.0592375
dais	0.0567098
"video screen"	0.055856
deck	0.0556504
roof	0.0555741
bookshelf	0.0552024
seating	0.0551068
booth	0.0542525
gymnasium	0.0531713
"Green Monster"	0.0526731
gazebo	0.0523651
sofa	0.0520623
"vacant lot"	0.0516952
mezzanine	0.0512977
"card table"	0.0505879
awning	0.0503793
"batting cage"	0.0499292
terrace	0.0498594
pylon	0.0498552
"lawn chair"	0.0497298
barricade	0.0496923
"rocking chair"	0.0494977
"railroad track"	0.049275
shack	0.0491962
"foul line"	0.0491813
gallery	0.0489628
bench	0.0487768
"home plate"	0.0487092
stair	0.0481152
walkway	0.0480701
garage	0.0480635
pond	0.0480106
Stairway	0.047794
cot	0.0477322
tent	0.0473932
courtyard	0.0473401
ballroom	0.0467534
desk	0.0465826
Tower	0.0465821
"concert hall"	0.0465224
courtroom	0.046329
bookcase	0.0462666
"trash can"	0.0461911
ravine	0.0458774
"window frame"	0.0458469
scaffolding	0.0458397
trailer	0.0458229
grass	0.0458108
cage	0.0458044
fairway	0.045741
infield	0.0454343
cofferdam	0.0454237
"garbage can"	0.045306
facade	0.0452121
hut	0.045169
dock	0.045155
"coffee table"	0.0449908
parking	0.0448506
aisle	0.0447514
plaza	0.0444709
"conference room"	0.0443671
bed	0.0442899
cubicle	0.0439727
gym	0.0439044
sidewalk	0.0437851
ditch	0.0436763
classroom	0.0432986
patio	0.0430286
easel	0.042787
rostrum	0.0425597
Mound	0.0424631
"swimming pool"	0.0424473
siding	0.042381
"shopping cart"	0.0421853
moat	0.0421505
footbridge	0.0420142
wheelchair	0.0419425
"parking space"	0.0418636
bulkhead	0.0418514
amphitheater	0.0416032
barn	0.0415351
hallway	0.0414412
crib	0.0413612
latrine	0.0412808
floorboard	0.0412664
lawn	0.0412352
toilet	0.0411631
couch	0.0409434
gate	0.0409093
shanty	0.040783
trench	0.0407633
"batter's box"	0.0406696
locker	0.0406519
catwalk	0.0405652
tarp	0.0405625
cabin	0.0404941
outhouse	0.0404768
ceiling	0.0404011
culvert	0.040161
"tractor trailer"	0.0401187
stratosphere	0.0400394
driveway	0.0400272
))
(bleakness (desc 2160.85) (sims
destitution	0.0816374
harshness	0.0814638
fragility	0.0761277
hopelessness	0.0758103
rawness	0.0746771
wistfulness	0.0705001
particularity	0.0694914
shallowness	0.0651709
absurdity	0.0625573
uniqueness	0.0616382
powerlessness	0.0612918
nuance	0.0611643
desolation	0.0607022
naturalism	0.0605762
worldliness	0.0596654
stillness	0.0586029
superstructure	0.0578856
denouement	0.0577415
totality	0.0573189
strangeness	0.0559622
predictability	0.0554931
enormity	0.0548319
pallor	0.0545595
simplicity	0.0543202
emptiness	0.0538718
"running time"	0.0536623
coherence	0.0533286
gist	0.0530151
heaviness	0.0528597
smallness	0.0522257
wallop	0.0521614
dramatization	0.0520131
"center of gravity"	0.0518947
verity	0.0518513
fearlessness	0.0518305
cleverness	0.0516108
slickness	0.051208
bewilderment	0.0512058
agony	0.0511135
richness	0.0510746
thinness	0.0496026
extremity	0.049197
serenity	0.0491359
"visual image"	0.0490608
"vicious circle"	0.0487451
awkwardness	0.048607
bonhomie	0.0479965
writer-director	0.047587
naturalness	0.0473136
pathos	0.0472752
updating	0.0472677
lightness	0.0471987
defensiveness	0.046801
subjectivity	0.0466306
expressiveness	0.0465612
believability	0.0463757
singularity	0.0459284
potency	0.0455064
evocation	0.0454314
remoteness	0.0453959
rediscovery	0.0453838
retelling	0.0452127
immediacy	0.0448274
fullness	0.0442324
perpetuation	0.0440445
veracity	0.0439064
eroticism	0.0436052
coldness	0.043399
paradox	0.0433155
"vicious cycle"	0.0432879
sweetness	0.0428304
"plot line"	0.0425027
artificiality	0.0422916
vibrancy	0.0422222
undertow	0.0421693
exasperation	0.0420467
helplessness	0.0420271
subtext	0.0418212
amplitude	0.0417387
abdication	0.0410652
emotionalism	0.0408102
flatness	0.0407494
rightness	0.0406695
poignancy	0.0405739
reworking	0.0405526
duress	0.0404348
multiplicity	0.0403851
dint	0.0402064
"bright side"	0.0401935
sensationalism	0.0401811
faithfulness	0.0401102
plausibility	0.0400373
))
(Bledsoe (desc 18678.2) (sims
"Drew Bledsoe"	0.223692
Aikman	0.165867
Brees	0.155328
Brunell	0.154559
Testaverde	0.154339
Plummer	0.149115
Weinke	0.139898
Marino	0.135383
Flutie	0.133764
Elway	0.133212
Kitna	0.128454
McCown	0.128205
Hasselbeck	0.128039
"Troy Aikman"	0.126445
Chandler	0.126136
Kealy	0.125463
McNown	0.122027
Manning	0.121227
Applewhite	0.120888
Favre	0.118958
McNair	0.1155
Kanell	0.113635
Cunningham	0.109722
"Van Raaphorst"	0.109557
Griese	0.109296
Paus	0.107687
"Steve Young"	0.106257
"Chris Chandler"	0.105722
"Vinny Testaverde"	0.105116
"Dan Marino"	0.105106
Huard	0.104038
Warner	0.102901
"Jake Plummer"	0.101985
Faulk	0.100957
Brady	0.10088
Zolak	0.0986327
McNabb	0.0982861
"Ty Law"	0.0980353
"Doug Flutie"	0.0980335
Palmer	0.0963683
"Peyton Manning"	0.0937905
"Cade McNown"	0.0923117
Grbac	0.0921987
Dilfer	0.0918819
DeBerg	0.0915833
Garrett	0.09135
Mirer	0.0910763
"Kurt Warner"	0.0904434
"Shawn Jefferson"	0.0890486
Johnson	0.0886168
"Steve McNair"	0.0879594
Vick	0.087516
Tupa	0.0875049
"Mark Brunell"	0.0869268
"Chris Weinke"	0.0865992
Foley	0.0861658
"Terry Glenn"	0.0859511
Ripken	0.0856273
"Brett Favre"	0.0854684
"Carson Palmer"	0.0847062
"Jon Kitna"	0.0838166
Pederson	0.0833355
Outzen	0.0831948
martin	0.0828056
"Randall Cunningham"	0.0808268
quarterback	0.0804539
Coates	0.0803979
"Emmitt Smith"	0.0802147
Irvin	0.0801595
"Ben Coates"	0.0794913
"Rob Johnson"	0.0793202
Harbaugh	0.0791272
crouch	0.0787145
Lucas	0.0786386
Glenn	0.0783716
"John Elway"	0.07831
Ewing	0.0782729
Belichick	0.0778613
"Warren Moon"	0.0778428
"Tee Martin"	0.077724
Brister	0.0775639
"Ted Johnson"	0.07713
"Vincent Brisby"	0.0769673
Boller	0.0767418
Drew	0.0767059
Milloy	0.0765005
"Troy Brown"	0.0763851
Dayne	0.0751062
"Bruce Armstrong"	0.0745064
Knoblauch	0.0743936
"Kordell Stewart"	0.0741916
"Curtis Martin"	0.074129
smith	0.0740785
Payton	0.0739974
Stewart	0.0739677
Anderson	0.0737008
Parcells	0.0736567
"Kent Graham"	0.0734181
Carroll	0.0732209
"Scott Zolak"	0.072783
"Joe Hamilton"	0.0727684
Brisby	0.0727608
WARRICK	0.0725736
collins	0.0724988
"Michael Bishop"	0.072207
Malone	0.0719852
Bryant	0.0718094
Blake	0.0714587
Barkley	0.0712485
"Chris Slade"	0.0707748
Sharpe	0.0707686
Finley	0.070673
Garcia	0.0705967
Carter	0.0705604
"Willie McGinest"	0.0705135
McCann	0.0701519
Fassel	0.0696679
Hundley	0.0694994
"Ryan Kealy"	0.0692808
"Todd Husak"	0.0690903
Graham	0.0688489
Hasek	0.068777
"Jeff George"	0.0687186
Pippen	0.0686355
Sprewell	0.0683289
Nicklaus	0.0680085
Elliott	0.067991
Jagr	0.0676688
Garciaparra	0.06761
Kelly	0.0675314
Cleaves	0.067284
Stockton	0.0672475
Kidd	0.0672
"Todd Collins"	0.0670346
"Doug Johnson"	0.0666119
"Glenn Foley"	0.0665164
"Keyshawn Johnson"	0.0664032
"Damon Huard"	0.0661029
Williams	0.0660736
"Jeff Blake"	0.0660002
Davis	0.0657156
"Brad Johnson"	0.0655707
Swann	0.0655441
Gwynn	0.0652543
Woodson	0.0651222
Gailey	0.0650046
Iverson	0.064882
Wright	0.0646623
Sanders	0.0642982
"Charlie Batch"	0.0641965
Modano	0.0641315
receiver	0.0634334
Graziani	0.0633688
Gannon	0.063125
O'Neal	0.0629692
Thompson	0.0627897
Fiset	0.062773
O'Donnell	0.0625933
Moss	0.0624595
"Dave Brown"	0.0621855
Chrebet	0.0621065
Robinson	0.0620592
"Terrell Davis"	0.0620574
Gretzky	0.0619762
Armstrong	0.0618901
patriot	0.0617336
Gonzalez	0.0616021
Kraft	0.0615673
"Tony Banks"	0.0614335
Mariucci	0.0611563
"Kerry Collins"	0.0610375
Alou	0.0608523
Culpepper	0.0608223
Ellis	0.0607262
Jeter	0.0607141
"Shannon Sharpe"	0.0606971
"Robert Edwards"	0.0606644
McGwire	0.0605259
"Ryan Leaf"	0.0605007
Caminiti	0.0604952
Piazza	0.0603866
MARBURY	0.0600457
"Kobe Bryant"	0.0599321
Edwards	0.0598522
"Trent Dilfer"	0.0593923
Erstad	0.059381
Deion	0.0593528
"Tim Couch"	0.0592798
Nelson	0.0590853
"Joey Galloway"	0.058905
"Rodney Peete"	0.0588921
Ronaldo	0.0588514
"Akili Smith"	0.0586315
Hamilton	0.0586117
Dafoe	0.0585853
McRae	0.0585692
"Ray Lucas"	0.0585264
Kariya	0.0585023
Casey	0.0584901
Perez	0.0584256
))
(bleeding (desc 1552.73) (sims
hemorrhage	0.129256
outflow	0.104581
downslide	0.098948
"crime wave"	0.0955794
"brain drain"	0.0890166
downloading	0.088336
"rising tide"	0.0867308
clot	0.0811901
bloodletting	0.0786437
"malignant tumor"	0.0780159
"blood clot"	0.0724586
photosynthesis	0.0718386
contagion	0.0716651
Campas	0.0709428
rollovers	0.0682515
inundation	0.0680541
lesion	0.0668137
neurotransmitter	0.0666797
fermentation	0.0666462
serotonin	0.0663402
macro-economy	0.0632865
Balkanization	0.0622626
brownout	0.0609819
gangrene	0.0607848
malignancy	0.0594737
Truancy	0.059075
"Mikhail Shtalenkov"	0.0577856
seepage	0.0576198
Moorer	0.0566902
freefall	0.0561528
abscess	0.0539075
malformation	0.0538382
dopamine	0.0535464
"arms race"	0.0528251
swelling	0.0525488
"hair follicle"	0.0524822
felling	0.0514349
fibula	0.0510964
"panic attack"	0.0507974
"rain cloud"	0.050708
"nerve cell"	0.0506771
"Michael Grant"	0.0506695
sunburn	0.0501335
assimilation	0.0498148
Faison	0.0495814
sell-offs	0.0488586
flareup	0.0487636
"soil erosion"	0.04748
free-fall	0.0474095
"drug traffic"	0.046829
neuron	0.0464819
nosebleed	0.0461057
"Oliver McCall"	0.0460963
drawdown	0.0460584
picketers	0.0458974
Hearns	0.0456078
MacCulloch	0.0454868
ragweed	0.0454252
"foot-and-mouth disease"	0.0454237
meltdowns	0.0452367
steamroller	0.0447403
"Andrew Golota"	0.0446688
"price change"	0.0446358
duffer	0.0446187
leakage	0.0444037
Battie	0.0443325
horse-trading	0.0442276
subsidence	0.0442276
sharper	0.04409
overheating	0.0439292
rowdiness	0.0433492
gentrification	0.0433459
aftereffect	0.0433128
spillage	0.0430618
"Mount Sinai Hospital"	0.0428811
"vicious cycle"	0.0428491
"leg bone"	0.042825
electrode	0.0428027
courting	0.0426464
"CHARLOTTE STING"	0.042293
declassification	0.0422158
marginalization	0.0420569
"crop failure"	0.0417239
"saber rattling"	0.0414628
dilation	0.0414404
"BellSouth Corp."	0.0413497
tailspin	0.0412981
droplet	0.041179
dilution	0.0411252
"field trial"	0.0411097
"Jocelyn Thibault"	0.040898
pumping	0.0408297
sweating	0.0405228
"Mike Vernon"	0.0404197
"waiting game"	0.040343
"nearly @.@ billion yuan"	0.0402046
shoplifter	0.0401865
deforestation	0.0400398
"price fluctuation"	0.0400301
recurrence	0.0400262
Potvin	0.0400099
))
(bleep (desc 895.296) (sims
expletive	0.145085
gosh	0.107756
ass	0.0980004
Matasareanu	0.0935516
crap	0.0924167
baloney	0.083768
posterior	0.0820284
Gaither	0.0799494
"voting machine"	0.076437
hand-holding	0.0757243
Gee	0.0751341
Whoa	0.0732168
"Manny Fernandez"	0.071715
"elbow room"	0.0717121
Grbac	0.0680466
"natural ability"	0.0645123
eavesdropper	0.0634348
Eighteen	0.0623097
"Mike Vernon"	0.0619696
"Fred Brathwaite"	0.061354
"data system"	0.0593927
Weasel	0.0593489
fella	0.0586522
divot	0.0584173
"one penny"	0.0581997
oomph	0.0576215
curveballs	0.0575706
"Russ Ortiz"	0.0575184
"Tom Presthus"	0.0568978
Quack	0.0567939
"earnings disappointment"	0.056596
Creationists	0.0560829
Uh	0.0557422
Atlantans	0.0554769
"Jean Van de Velde"	0.0548134
"young lady"	0.054786
ballgames	0.0542202
poodle	0.0539974
guesswork	0.0536431
pluses	0.0530618
Chicagoans	0.0528318
Bianca	0.0523398
zingers	0.0519421
"breathing room"	0.0518768
"Ron Tugnutt"	0.0513421
bile	0.0511305
licking	0.0511173
"about @.@ million dollars"	0.0510244
"Steve Shields"	0.0509593
Asprilla	0.0509011
ribbing	0.0508556
behinds	0.0507719
Dunham	0.0505555
"Olaf Kolzig"	0.0504698
bastard	0.050156
airtime	0.0500858
huh	0.0500466
itals	0.0499557
"No. @s"	0.0498445
Meciar	0.0498003
third-graders	0.0497509
Midwesterners	0.0492432
celebs	0.0492157
mainlanders	0.0489199
"loose end"	0.0486377
"extra points"	0.0485769
changeups	0.0482651
ifs	0.0480573
Nicol	0.0480379
nance	0.0479461
Porsches	0.0479077
squawk	0.0476455
"test equipment"	0.0474223
Quokka	0.0473208
"speeding ticket"	0.0470072
Nivel	0.0468417
"John Vanbiesbrouck"	0.0468224
niner	0.0465907
"surface area"	0.0465395
harder	0.0464194
Grahame	0.0462538
makeovers	0.0461258
manhole	0.0461218
Bulatovic	0.0460383
illegals	0.04589
"Scotty Bowman"	0.0457539
Lapentti	0.0457005
"order book"	0.0455834
"Jamie Storr"	0.0455487
Trollope	0.0453897
homebuyers	0.0453625
Burba	0.0453422
Laperriere	0.0452597
fuzz	0.0451922
rascal	0.0451409
"heavy hitter"	0.0451258
"Ford Escort"	0.0451079
Legos	0.0451043
razzle-dazzle	0.0449981
Longo	0.0449351
freeloader	0.0449293
"Grant Fuhr"	0.0448767
"spoken word"	0.0448615
pizazz	0.0448543
Smitherman	0.0447681
"water cooler"	0.0445897
fillip	0.0445002
"Ryan Kealy"	0.0444554
Ince	0.0443907
bauble	0.0441263
double-teams	0.044048
"New York-New Jersey MetroStars"	0.0439902
"Scarlet Knights"	0.0439422
Cowens	0.0439415
Verney	0.0438921
"hot air"	0.0438502
"Velez Sarsfield"	0.0438148
"Neville Godwin"	0.0437887
"Seibu Lions"	0.0437009
Kashima	0.0436832
hokum	0.0433272
Roussel	0.0432919
customization	0.0431627
"breathing space"	0.0431383
"about @ pounds"	0.0431169
verbiage	0.0431152
"Guy Hebert"	0.0430555
spunk	0.0430041
"Richard Hatch"	0.0428491
"Lewis Carroll"	0.0425431
"snake eyes"	0.0425407
"Aeneas Williams"	0.0425396
pasteurization	0.0424758
"Fabien Barthez"	0.0423919
"Chris Osgood"	0.0423842
"business enterprise"	0.0423628
Gogel	0.0423377
"more than eight"	0.0422752
intangible	0.0422652
"first nine"	0.0422581
"rear end"	0.0421681
"about @@@,@@@ acres"	0.0421598
McKnight	0.0421266
"Di Canio"	0.0420905
Maggert	0.0420123
"Albert Portas"	0.0419126
"free time"	0.0419001
"goose bumps"	0.0418484
Ranford	0.04184
afterburner	0.0418375
firsts	0.0417391
untruth	0.0417127
"Kasey Keller"	0.04171
flapper	0.0416579
keystrokes	0.041655
"dog tag"	0.0416086
Appleby	0.0415927
postseasons	0.0415382
earplugs	0.0415269
oar	0.0414242
urbanites	0.0412914
"control board"	0.041147
"dramatic event"	0.0411237
"Nur Misuari"	0.0409336
"END ITAL"	0.0409242
Muscovite	0.0408449
"foot traffic"	0.0408256
"Tom Barrasso"	0.0408174
DiCarlo	0.0408089
"chain letter"	0.0407962
legroom	0.040718
Shields	0.0406084
Osgood	0.0403854
Langham	0.0403841
"first word"	0.0402069
multimillionaires	0.0401777
Meston	0.0401406
gawkers	0.0401389
Hsieh	0.0401274
"Anne Kremer"	0.0401159
cockiness	0.0401121
))
(blemish (desc 7296.33) (sims
blot	0.129909
blotch	0.108186
scar	0.0857627
smudge	0.0842868
misstep	0.0825284
stain	0.0815354
discoloration	0.0707849
shortcoming	0.0686423
imperfection	0.0678592
flaw	0.0675562
abrasion	0.0670436
wart	0.0670409
asterisk	0.066304
blight	0.0659592
bruise	0.0651535
hiccup	0.0644431
wrinkle	0.0610378
miscue	0.0576683
freckle	0.0575806
lesion	0.0573005
gaffe	0.0569497
side-effects	0.0568316
inkling	0.0567776
lapse	0.0563119
indiscretion	0.0561714
deformation	0.0560689
omission	0.0553981
laceration	0.0542745
imprint	0.054233
pimple	0.0528792
absolutes	0.052425
hitch	0.0510109
vestige	0.0506166
anomaly	0.0504831
disappointment	0.0504709
slipup	0.0501717
damper	0.0496255
glitch	0.0489502
stat	0.0488113
letdown	0.0484896
glimmer	0.0484454
deficiency	0.0484044
rust	0.0483478
"question mark"	0.0482996
aspersion	0.0482988
miscalculation	0.048232
shocker	0.0479241
static	0.0478033
hottest	0.0467231
mishap	0.0465376
second-highest	0.046311
blunder	0.0462875
"cash crunch"	0.0462694
marking	0.046264
upsets	0.0460589
bullishness	0.04597
setback	0.0459552
tattoo	0.0458411
stigma	0.0457727
snag	0.0455337
typo	0.0454385
scowl	0.0452726
"blind spot"	0.0450648
inconsistency	0.045037
blip	0.0449406
consolation	0.0439542
indentation	0.0439383
malformation	0.043736
embarrassment	0.0437153
distraction	0.0435297
guesswork	0.0433286
drawback	0.0432649
slippage	0.0432317
"side effect"	0.0430762
infirmity	0.0429498
gloss	0.0428962
baserunner	0.0425603
things	0.0424949
indignity	0.0424502
odor	0.0424041
hesitation	0.0423895
inconvenience	0.0423276
welt	0.0420441
sloppiness	0.0420161
annoyance	0.0419685
bulge	0.0418912
infraction	0.041783
transgression	0.041558
flicker	0.0413492
"black person"	0.0413013
dustup	0.0412384
chink	0.0410133
"turning point"	0.0409455
"two pitchers"	0.0409421
"frame of reference"	0.0408394
"exclamation point"	0.0407978
foible	0.0406225
inhibition	0.0405647
"Kevin Dyson"	0.0404734
"margin call"	0.0404674
infantryman	0.0401682
))
(blend (desc 43419) (sims
mix	0.160542
mixture	0.127759
combination	0.110901
flavor	0.101425
style	0.0834427
amalgam	0.0823265
touch	0.0781319
melange	0.077949
sense	0.0778369
kind	0.0763917
evocation	0.0755889
fusion	0.075539
taste	0.0747325
variety	0.0746347
wine	0.0740926
hybrid	0.0739446
stew	0.0719462
bit	0.0713219
juxtaposition	0.0711513
brew	0.0707501
aroma	0.0703944
concoction	0.0690374
ingredient	0.0687286
aura	0.0666846
hint	0.0663477
charm	0.0656903
array	0.0655865
essence	0.065242
texture	0.0649275
fabric	0.0648027
sauce	0.0647228
tale	0.0646167
tone	0.0640742
sort	0.0634189
element	0.0632849
variation	0.0628947
brand	0.062765
simplicity	0.0624739
dish	0.0623925
type	0.0615026
dose	0.0612454
soup	0.0610383
beauty	0.0609794
quality	0.0606661
expression	0.0605899
subtlety	0.0596793
color	0.0596287
twist	0.0594023
Fragrance	0.0593187
piece	0.0592618
vision	0.0591066
display	0.0591015
"red wine"	0.059046
rhythm	0.0589298
grape	0.058824
juice	0.0587701
"piece of work"	0.0587484
drink	0.05865
melding	0.0585521
sound	0.0582692
richness	0.0581082
assortment	0.0580474
confluence	0.0579741
personality	0.0578895
spice	0.0575213
collection	0.0573794
music	0.0573051
plenty	0.0566439
shade	0.0566344
interpretation	0.0566284
puree	0.056601
interplay	0.0565414
clarity	0.0563564
concept	0.0562076
scent	0.055655
fruit	0.0555619
cuisine	0.0553135
cheese	0.0552773
POTPOURRI	0.0552345
Compendium	0.0549703
salad	0.0549493
coincidence	0.0547366
melody	0.0546542
elegance	0.0544857
paste	0.0544016
"cast of characters"	0.0544014
notion	0.0543814
lot	0.0542513
humor	0.0542222
idea	0.0541906
sweetness	0.0541888
phrasing	0.0540966
synthesis	0.0540643
chocolate	0.0540023
palette	0.0539352
reflection	0.0538608
recipe	0.0537211
modicum	0.0536578
pattern	0.053546
technique	0.0535451
image	0.0532432
nuance	0.0530562
counterpoint	0.0529538
whiff	0.0526995
character	0.0525669
cocktail	0.0525521
bottle	0.0523894
insight	0.0523383
aspect	0.052049
fantasy	0.0519274
characteristic	0.0518722
cream	0.051674
example	0.0514455
sequence	0.0513033
slice	0.0512167
confection	0.0511769
dessert	0.0511469
narrative	0.0510478
intensity	0.0508887
swirl	0.0508058
undercurrent	0.0507632
portrait	0.0505551
moment	0.0505262
staple	0.0504148
tapestry	0.0504089
glimpse	0.0503775
conceit	0.0502593
wit	0.0502061
version	0.0501472
sugar	0.0499404
broth	0.0497716
hodgepodge	0.0497467
tea	0.0495376
merlot	0.0494551
stuff	0.0494466
burst	0.0494425
complexity	0.0493751
spirit	0.0493374
theme	0.0493146
embodiment	0.0489366
"Pinot noir"	0.0488704
Riesling	0.0488438
beverage	0.0488375
adaptation	0.0488353
hue	0.0487942
pastiche	0.0487118
magic	0.0486511
sensibility	0.0485856
"sense of humor"	0.0485724
voice	0.0484682
feat	0.0484579
tradition	0.0484353
artistry	0.0484238
symbol	0.0483391
herb	0.0482777
trace	0.0482271
consistency	0.0481966
manner	0.0480631
layer	0.0478184
directness	0.0478182
Invention	0.0477853
Convergence	0.0477795
realm	0.0475942
balance	0.0475679
bread	0.0475069
gesture	0.0474684
amount	0.0474613
vegetable	0.0474112
gift	0.0474024
strand	0.0473206
Song	0.047077
collage	0.0470682
drama	0.0470291
setting	0.0468355
strain	0.0468239
cake	0.0467729
abundance	0.0466526
rendering	0.0465693
"side dish"	0.0465631
smorgasbord	0.0464829
comedy	0.04642
flash	0.0463386
reminder	0.0462534
Chemistry	0.0462112
paradox	0.0461551
visuals	0.0461388
syrup	0.0461155
nature	0.046097
flair	0.0460658
dynamic	0.0460482
milk	0.0459689
definition	0.0458921
vocabulary	0.0458137
compilation	0.0457998
object	0.0457966
meal	0.0457938
bean	0.045693
irony	0.0456018
purity	0.0455667
prose	0.0455145
))
(blender (desc 13299.8) (sims
"food processor"	0.328774
saucepan	0.152402
"mixing bowl"	0.137465
mixer	0.135009
"electric mixer"	0.117137
bowl	0.112671
skillet	0.103283
cooker	0.0895574
toaster	0.0822377
grinder	0.081954
stockpot	0.0814555
puree	0.0782584
"double boiler"	0.0779084
pan	0.0773965
pot	0.0754482
Casserole	0.0747572
"Dutch oven"	0.0744371
"microwave oven"	0.0717395
jar	0.0704589
oven	0.0699248
strainer	0.0694477
"hair dryer"	0.0682222
freezer	0.0655029
Spoon	0.0629777
microwave	0.0627462
container	0.062463
kettle	0.0620405
refrigerator	0.0618531
dishwasher	0.0615265
dryer	0.0604482
heater	0.0601898
masher	0.0600746
"pie shell"	0.0589382
"space heater"	0.058616
"vacuum cleaner"	0.0573499
colander	0.0573199
"ice water"	0.0548796
"shopping cart"	0.0543586
butter	0.0536204
"garbage can"	0.0532077
tongs	0.0532076
wok	0.0526024
knife	0.0514937
soup	0.0507737
syrup	0.0503797
beater	0.0489334
cutter	0.048398
Cleaver	0.047965
tray	0.0478209
"trash can"	0.0476775
"paring knife"	0.0475727
salad	0.0475252
scissors	0.0474679
"measuring cup"	0.0470214
"olive oil"	0.0468274
ramekins	0.0467454
mayonnaise	0.0467081
amplifier	0.0463915
processor	0.0462517
flour	0.0462125
yogurt	0.0461203
stove	0.0460746
"alarm clock"	0.0460168
cooler	0.0459269
juice	0.0457032
fridge	0.0454587
"washing machine"	0.0454471
"coffee maker"	0.0450542
"chain saw"	0.045
fork	0.0448591
sauce	0.0447062
spatula	0.0441725
"alcoholic beverage"	0.0440865
VCR	0.0439493
bathtub	0.0437908
camcorder	0.043747
grater	0.0436094
mortar	0.0435706
Projector	0.0434272
carton	0.0433731
mower	0.0433172
appliance	0.0430807
faucet	0.0428486
compressor	0.0424881
chainsaw	0.0423566
crust	0.042273
"frying pan"	0.0416615
shredder	0.0416336
"cutting board"	0.0413553
bucket	0.0412762
tomato	0.0412222
"water heater"	0.0412151
motor	0.0411531
condiment	0.0411111
"trash bin"	0.0406899
washer	0.0406343
"clock radio"	0.0405194
"lawn mower"	0.0404195
potato	0.0400615
irons	0.0400531
broiler	0.0400384
cheese	0.0400107
))
(blending (desc 1916.3) (sims
mingling	0.109662
diffusion	0.0865088
melding	0.0754841
melange	0.0656806
distillation	0.0655213
criminalization	0.0640792
layering	0.0621707
Americanization	0.0614837
multiplicity	0.0611962
downloading	0.0610554
licensing	0.059997
cross-pollination	0.0572035
POTPOURRI	0.0569536
streamlining	0.0562385
progenitor	0.0555422
armful	0.0550268
nuance	0.0548125
fusion	0.0546649
accretion	0.0539182
mishmash	0.0533276
crosscurrent	0.0520485
analyses	0.0507877
"Golden Age"	0.0497216
merging	0.049614
fragmentation	0.0492879
"rest day"	0.0489811
confluence	0.0488906
commercialization	0.0486387
importing	0.0484794
amalgam	0.0484136
dissemination	0.0480064
pervasiveness	0.0478325
quintessence	0.0475423
naming	0.0474873
cacophony	0.0469154
purveyor	0.0465418
"treasure house"	0.0464575
downdraft	0.0463356
TRIER	0.0462322
Balkanization	0.046081
theatricality	0.0459928
shallowness	0.0458887
"two bottles"	0.0458537
phase-out	0.045473
hodgepodge	0.0453603
abrogation	0.0452995
reminded	0.0450526
vagary	0.045001
overviews	0.0448485
interplay	0.0446551
linking	0.0446039
blurring	0.0445824
flowering	0.0443337
screenful	0.0441914
superficiality	0.0438438
apotheosis	0.0438255
dearth	0.0438214
popularization	0.043809
"lingua franca"	0.0433864
decimation	0.0429799
signpost	0.0429084
slurry	0.0426794
kaleidoscope	0.0424347
phaseout	0.0423902
tracing	0.0423629
mixing	0.0421283
reinvention	0.041998
permutation	0.0417635
plethora	0.0417583
revamping	0.0415971
smidgen	0.0415253
juxtaposition	0.0413577
conglomeration	0.0408734
Compendium	0.040845
swapping	0.0407984
propagation	0.0407645
reallocation	0.0407428
reiteration	0.0407297
agglomeration	0.0407123
loosening	0.0403253
))
(blessing (desc 36521.8) (sims
boon	0.0868163
encouragement	0.0849943
backing	0.0815145
wish	0.0768204
approval	0.0764214
endorsement	0.0737634
gift	0.0717098
inspiration	0.0670849
miracle	0.0667295
"turning point"	0.0647044
consent	0.0633608
forgiveness	0.0631696
responsibility	0.0629371
validation	0.0627586
honor	0.0624739
prayer	0.0623468
permission	0.0618672
recognition	0.0616044
advice	0.06156
guidance	0.0609066
embarrassment	0.0608513
burden	0.0607792
pleasure	0.060272
accomplishment	0.0595095
compliment	0.0593791
consolation	0.0590943
"role model"	0.059058
thrill	0.0589688
reflection	0.0583598
setback	0.0581452
opportunity	0.0580086
milestone	0.0575592
indication	0.0572743
disappointment	0.0568697
determination	0.0567017
legacy	0.0566882
vindication	0.056542
lesson	0.0564134
distraction	0.0561206
priority	0.0560672
choice	0.0560616
success	0.0560614
reward	0.0559736
sympathy	0.0557342
presence	0.0556301
aberration	0.0554339
assurance	0.0554089
surprise	0.0553843
inconvenience	0.0552013
authorization	0.0551675
privilege	0.0551614
certainty	0.0550761
factor	0.054894
advantage	0.0547917
guarantee	0.0542442
obstacle	0.0537629
reaction	0.0536035
achievement	0.0534254
salvation	0.0534067
reminder	0.0533847
response	0.0533001
input	0.053271
attention	0.0531468
happiness	0.0530774
meaning	0.0529992
message	0.0528389
joy	0.0527469
omen	0.0526909
fluke	0.0524236
Sacrifice	0.0523707
commitment	0.0523166
task	0.0522867
rite	0.0522688
mercy	0.0522003
acceptance	0.0521857
greeting	0.0518551
nightmare	0.0516692
shame	0.0516364
patience	0.0515951
"good luck"	0.051552
mandate	0.0512256
affection	0.0509621
relief	0.0509494
contribution	0.0508595
appreciation	0.0507324
grace	0.05071
perk	0.050667
essential	0.0505873
respect	0.0501045
loyalty	0.0500485
affirmation	0.0500077
vision	0.0499692
knowledge	0.0499307
signal	0.0498762
instruction	0.0498628
assistance	0.0497143
desire	0.0496714
affront	0.0496269
wisdom	0.0495636
incentive	0.0495505
gamble	0.0495109
"seal of approval"	0.0492782
motivation	0.0492352
intervention	0.0491704
annoyance	0.0491376
Luck	0.0490104
ability	0.0489248
dilemma	0.0488253
homily	0.0488176
mistake	0.0487368
triumph	0.0485598
strength	0.0485368
"bad luck"	0.0484496
compassion	0.0484218
proposition	0.0484154
symbol	0.0483614
tool	0.0483561
necessity	0.0483457
pride	0.0482397
disaster	0.0481293
example	0.048108
devotion	0.048088
hardship	0.0479704
reluctance	0.0479585
apology	0.0479298
prerogative	0.0478934
plea	0.0478717
resource	0.0477507
"waste of time"	0.0477394
kindness	0.0477322
reassurance	0.0477156
"silver lining"	0.0475868
suggestion	0.0475727
dream	0.0475543
passion	0.0473296
curse	0.0472072
mantra	0.0470953
news	0.047076
invitation	0.0470174
alternative	0.0470041
assent	0.0469646
gesture	0.0469477
thought	0.0468055
bellwether	0.0467248
courage	0.0465411
breakthrough	0.0465353
comfort	0.046506
calling	0.0464534
luxury	0.0464467
funding	0.0463843
prerequisite	0.0463072
imprimatur	0.046232
excitement	0.0461745
ideal	0.0461671
asset	0.0461191
metaphor	0.0461013
celebration	0.0460578
tragedy	0.0460225
objection	0.0459922
objective	0.0459866
mystery	0.0459759
solace	0.0459417
sense	0.0458232
satisfaction	0.0457218
feeling	0.0456631
attitude	0.0456441
savior	0.0455687
"good fortune"	0.0455679
consensus	0.0454666
consequence	0.0454539
catastrophe	0.0454131
concession	0.0453117
involvement	0.0452796
coincidence	0.045222
pledge	0.045206
strategy	0.0451877
acknowledgment	0.0451851
faith	0.0451754
judgment	0.0451308
virtue	0.0451126
norm	0.0450519
gratitude	0.0450356
proof	0.0450285
ambition	0.0450159
"first step"	0.0450089
intention	0.0449477
option	0.0449139
dedication	0.0448355
dispensation	0.0447407
rejection	0.0447218
criticism	0.0447214
recommendation	0.0446804
freedom	0.0445925
revelation	0.044365
expression	0.0442901
participation	0.0442572
barometer	0.0442188
duty	0.0441709
ritual	0.0440445
failure	0.0440024
))
(blight (desc 5999.74) (sims
blot	0.092063
"plant disease"	0.0869165
"foot-and-mouth disease"	0.0796653
scourge	0.072463
infestation	0.0723323
pest	0.0698073
malaise	0.0687208
decay	0.0674196
blemish	0.0659592
homelessness	0.0617093
"urban sprawl"	0.061497
epidemic	0.061269
malady	0.0610892
stepchild	0.060059
sickness	0.0595531
"juvenile delinquency"	0.0577932
encephalopathy	0.057075
"food poisoning"	0.0569435
pandemic	0.0554571
contagion	0.0545565
"death tax"	0.0544064
stain	0.0542629
"animal disease"	0.0540429
lawlessness	0.054021
canker	0.0537037
permissiveness	0.0532875
sandstorm	0.0530916
"infectious disease"	0.0529225
phenomena	0.0528156
"contagious disease"	0.0525959
"forest fire"	0.0518626
banditry	0.0511136
fungi	0.0510552
corrosion	0.0508823
smallpox	0.0507543
ugliness	0.0502472
"drug problem"	0.0501814
CJD	0.0497147
Meningitis	0.0495991
menace	0.0495211
anomaly	0.0493593
rollovers	0.049136
aspersion	0.0488877
pimple	0.0488041
hailstorm	0.0483024
"dengue fever"	0.0481536
degradation	0.0480541
gridlock	0.048005
illiteracy	0.0479866
famine	0.0479282
disorder	0.0479157
fungus	0.0477937
parasite	0.0476494
damper	0.0474724
"water pollution"	0.0474297
"bubonic plague"	0.0473826
delinquency	0.0470805
eyesore	0.0470218
congestion	0.0470053
mildew	0.0469482
gangrene	0.0469099
Rabies	0.0469074
dysfunction	0.046842
pathogen	0.0466247
impairment	0.0466111
misperception	0.0464897
"air pollution"	0.0461583
blunder	0.0460532
locust	0.0460125
deformity	0.0458076
Nuisance	0.0456681
TINDERBOX	0.0455976
leprosy	0.0455763
wildfire	0.0453835
squalor	0.0453708
wallop	0.0453688
"tidal wave"	0.0453258
Alcoholism	0.0452871
ennui	0.0452516
"cystic fibrosis"	0.0452284
deflation	0.0449656
"malignant tumor"	0.0448121
repercussion	0.0448041
Addiction	0.0446964
affliction	0.0445811
ebola	0.0444894
misstep	0.0444526
inequity	0.0444196
alienation	0.0443885
stigma	0.044348
hunger	0.0443447
"Lyme disease"	0.0442672
conundrum	0.0442431
gentrification	0.0437622
"colon cancer"	0.0437065
encephalitis	0.0435323
BSE	0.0434782
bacteria	0.0434416
malaria	0.0434266
inefficiency	0.0433753
knucklehead	0.0432092
injustice	0.0431651
pox	0.0431205
malnutrition	0.0431151
"health problem"	0.0428629
distraction	0.0428589
mishap	0.0426938
"alcohol abuse"	0.042637
inflammation	0.0426351
"mental disorder"	0.0425389
ailment	0.042495
salinity	0.0424555
diarrhea	0.0423149
overpopulation	0.0420277
annoyance	0.0419761
cholera	0.0417968
condensation	0.0417691
anemia	0.0417676
"acid rain"	0.0417645
stranglehold	0.0416925
Parkinson's	0.0416789
Dysentery	0.0416711
O@@@:H@	0.0415892
trachoma	0.0414766
toehold	0.0414479
trauma	0.0414278
"liver disease"	0.0413244
blindness	0.0412272
rinderpest	0.0412257
"rat race"	0.0410013
pathology	0.0409373
guesswork	0.0408992
Dengue	0.0408657
deterioration	0.0408381
infirmity	0.0407938
"muscular dystrophy"	0.0406719
treachery	0.0406091
"reference point"	0.0406065
"coca crop"	0.0405918
"genetic disease"	0.0405871
"hepatitis B"	0.0404562
dementia	0.0404308
cronyism	0.0404248
infringement	0.040388
Osteoporosis	0.0403559
dampness	0.0402389
paranoia	0.0402339
poisoning	0.0401925
mite	0.0401638
"water hyacinth"	0.0401314
deprivation	0.0400728
))
(Bliley (desc 1160.42) (sims
Moakley	0.28534
Weldon	0.25532
Canady	0.245498
Delahunt	0.243965
Waxman	0.231335
McHugh	0.229685
Danner	0.226025
McInnis	0.223544
Napolitano	0.223272
Doggett	0.221145
Royce	0.206409
Kolbe	0.205525
Engel	0.204279
Pelosi	0.204058
McNulty	0.201117
Markey	0.199315
Metcalf	0.193791
Gilman	0.182099
Nadler	0.181689
Tauzin	0.181104
Capps	0.178983
Northup	0.178872
Schaffer	0.175088
Menendez	0.16742
SHUSTER	0.165204
Linder	0.165108
Upton	0.164417
Chabot	0.163117
Condit	0.162754
Leach	0.162034
Meeks	0.161898
McIntyre	0.159962
Goss	0.159569
Largent	0.159346
Klink	0.15643
granger	0.15525
Isakson	0.150729
COYNE	0.148113
Houghton	0.147068
McCollum	0.145058
Meehan	0.144109
Pickett	0.142965
Larson	0.142473
Rangel	0.142013
McKeon	0.141081
Chambliss	0.140052
mica	0.13874
"Jim Gilmore"	0.138657
Dingell	0.138197
Shalala	0.138093
Murkowski	0.137064
Deutsch	0.136523
Neal	0.136379
Latham	0.135927
Berman	0.134603
"John Warner"	0.133439
Goode	0.132065
Hyde	0.131566
Hobson	0.131077
Dooley	0.1288
Armey	0.127938
Verney	0.127598
PITTS	0.127136
Alarcon	0.125833
McConnell	0.125442
Postol	0.124325
Serrano	0.122704
Portman	0.122276
Pryce	0.122212
McIntosh	0.120987
Gutierrez	0.120506
Farr	0.120416
Packard	0.11974
Reyes	0.117871
Flanagan	0.11714
Garcetti	0.116927
Lowey	0.115997
Cummings	0.112836
Phelps	0.110885
Stearns	0.110226
Callahan	0.109918
Ortiz	0.109883
Rogan	0.109407
Crowley	0.108791
McGovern	0.108416
Conyers	0.108183
Jeffords	0.107456
Mullinax	0.10675
Ruehe	0.106692
Hastings	0.104704
Storin	0.104362
Ruthardt	0.10386
Gephardt	0.103321
Moran	0.103177
Lipinski	0.102153
Engelberg	0.102051
Strickland	0.101987
Hayworth	0.101419
Verniero	0.0998122
Watkins	0.0992297
Brownback	0.0992187
Arbour	0.0985665
Kennard	0.0984185
Thurman	0.0983187
Shays	0.0979182
Kasich	0.0977771
Schell	0.0964717
"Tom Davis"	0.0959734
Bettman	0.0958644
Harkin	0.095502
Hybl	0.0945585
Echols	0.0943971
Kyl	0.0942622
Sherwood	0.0938225
Dixon	0.0931802
Lew	0.0922844
Wexler	0.0922233
Peterson	0.092069
Hastert	0.0912057
Koskinen	0.0912051
Lockyer	0.0907933
Norwood	0.0906913
Voinovich	0.0905771
ISSEL	0.0905211
Costello	0.0902152
Morgenthau	0.0900976
Leavitt	0.0900273
Conroy	0.0896918
Valenti	0.0896431
Sanford	0.089643
Roush	0.0884867
Portillo	0.0879549
Lugar	0.0878609
Fay	0.0877972
McDermott	0.0876418
McCarthy	0.0873502
Sharansky	0.0873329
Greenwood	0.0870778
Finkel	0.08697
Levitt	0.0862602
Foley	0.086237
Boehner	0.0862233
Joklik	0.0859646
Sperling	0.0859398
Barrett	0.085485
Sheldon	0.0850255
Bono	0.0846015
Ratliff	0.0845738
Hevesi	0.0844603
Sanan	0.0843509
Payne	0.0832871
Velazquez	0.0828296
Buzek	0.0828102
Groscost	0.0827911
Rubenstein	0.0827801
Vance	0.0827108
Kerasiotes	0.0824178
Ogata	0.0822261
Fleischer	0.0821288
Lamont	0.0819638
Sweeney	0.0819047
Izetbegovic	0.0814612
Bonilla	0.0814481
Gielgud	0.0811493
Surin	0.080887
AFA	0.0805038
Sibley	0.0804246
Hamdoon	0.0798901
Sarid	0.0795585
Sawyer	0.0794131
Cremins	0.0790055
"Majority Whip Tom DeLay"	0.0790006
Cornyn	0.0789212
"M. Douglas Ivester"	0.0787987
Grassley	0.0784623
Levin	0.078403
Chao	0.0783805
"Dos Santos"	0.0782881
Bustamante	0.0781982
Dewine	0.0781466
Vasile	0.0778107
Siazon	0.0773707
al-Sahaf	0.0773317
burr	0.0770116
Prewitt	0.0769306
Doyle	0.0766455
Rais	0.0765776
Vollebaek	0.0762606
Suarez	0.0761722
Gutman	0.0759525
DeFrantz	0.0757496
Nickles	0.0756967
Haskins	0.0754558
Barksdale	0.0753339
Difrancesco	0.0748704
Cianci	0.0747428
Muoneke	0.0746722
Ouattara	0.0746297
F.A	0.0745643
Glickman	0.0744322
))
(blimp (desc 4098.08) (sims
glider	0.120215
"jet plane"	0.106701
Learjet	0.105223
Cessna	0.0899611
chopper	0.0886653
"hot-air balloon"	0.087419
biplane	0.0845539
hovercraft	0.0829782
airship	0.0828953
"Cessna @@@"	0.0818247
balloon	0.0791979
osprey	0.0785769
skydiver	0.0764024
"cabin cruiser"	0.0725238
gunship	0.0711313
DC-@@	0.0710871
C-@@@	0.0703167
gunboat	0.0669527
Apache	0.0661958
MD-@@	0.0646909
MiG-@@s	0.0643921
powerboat	0.0636669
"Airbus A@@@"	0.0629495
T-@@	0.0626341
streamer	0.0625426
Prowler	0.0618295
"blue angel"	0.0612174
AN-@@	0.0609131
MiG-@@	0.0607028
F-@@	0.0594783
"trial balloon"	0.0594631
"Airbus @@@"	0.0593122
tugboat	0.0586845
"fire truck"	0.0581456
"fire engine"	0.0579375
warthog	0.0578679
turboprop	0.0577135
B-@@	0.0573876
"fighter aircraft"	0.0568879
sentry	0.0566917
USAir	0.056389
DC-@	0.0563741
A@@@-@@@	0.0562488
Apaches	0.0560252
Play-Doh	0.0559862
Kite	0.0553871
motorboat	0.0551684
"storm cloud"	0.0545069
"American plane"	0.0543652
loon	0.0543601
"patrol boat"	0.0540166
yacht	0.0537375
speedboat	0.0536407
"rain cloud"	0.0527982
"patrol car"	0.0524123
kayak	0.0521433
wristband	0.051745
jetliner	0.0513802
"hot air"	0.0513644
bloodhound	0.0513193
tanker	0.0511626
F-@@@	0.0509302
"small boat"	0.0507859
A@@@	0.0505642
"Air National Guard"	0.0504996
"life jacket"	0.0501898
confetti	0.0499361
snowbird	0.0497636
Concorde	0.0497284
"cargo vessel"	0.0492574
TU-@@@	0.0483559
"beam of light"	0.0482996
spaceship	0.0480894
"Old Glory"	0.0479735
"white flag"	0.0478868
rosette	0.0477607
"carriage house"	0.0474871
Concordes	0.0471798
"space capsule"	0.0467994
warplane	0.046719
"Lincoln Town Car"	0.0465125
"Gulf Air"	0.0463353
"matinee idol"	0.0462535
airliner	0.046248
"train ticket"	0.0461217
skyboxes	0.0460127
"Chevrolet Blazer"	0.0456921
bunting	0.0455933
"street sign"	0.0454305
zeppelin	0.0452671
sled	0.0452304
kamikaze	0.0451264
Vidro	0.045005
B-@s	0.0448026
warplanes	0.044746
cobra	0.0445524
tomcat	0.0444898
Harrier	0.0443423
"Confederate flag"	0.04418
snowmobile	0.044073
"Union Jack"	0.0438412
"electric car"	0.0438263
Astroturf	0.043501
F-@@s	0.0434927
C-@@	0.0433669
"beach house"	0.0433469
pigeon	0.043261
"Flight @@@"	0.043206
torpedo	0.0430532
gull	0.0426114
chinook	0.0424573
"Jet Skis"	0.0423281
"herb garden"	0.0422238
clothesline	0.042069
"paper cup"	0.041967
submersible	0.0419444
"booster rocket"	0.041893
trapeze	0.0418258
tarpon	0.0416159
barbell	0.0415825
tricolor	0.0411162
bulldozer	0.0410713
Garuda	0.0410391
limousine	0.0410028
dinghy	0.0409254
RV	0.0406563
X-@@	0.040632
cutter	0.0405793
Tyre	0.0404546
fireball	0.0404395
"TWA Flight @@@"	0.0402221
bock	0.0401935
"cream puff"	0.0400851
F-@	0.0400266
Cruiser	0.0400046
))
(blind (desc 15437) (sims
disabled	0.114114
deaf	0.0972037
handicapped	0.0796855
"mentally retarded"	0.0782193
illiterate	0.0732419
needy	0.0604996
homeless	0.0578173
"AIDS patient"	0.057447
elderly	0.0547083
dropout	0.0508879
orphan	0.0504813
paraplegic	0.047338
"foster child"	0.0472681
shutter	0.0464833
curtain	0.0463827
diabetic	0.0462263
pupil	0.045759
youngster	0.0436294
"senior citizen"	0.0435233
"drug addict"	0.0434878
aged	0.042904
surfer	0.0424725
learner	0.0424282
low-income	0.0417108
sufferer	0.0413522
addict	0.0408731
preschoolers	0.0405445
quadriplegic	0.0400409
))
("blind date" (desc 1795.88) (sims
assignation	0.0898085
rendezvous	0.068123
tryst	0.0674384
"meteor shower"	0.0606843
flirtation	0.0596327
"second match point"	0.0587245
"Little Dog"	0.0567805
"February @-@"	0.0535247
flirting	0.0535136
"job candidate"	0.053304
"marriage proposal"	0.0510764
tete-a-tete	0.0509023
tangent	0.0508766
sit-down	0.0500342
"League of Nations"	0.0496338
mitzvah	0.0492071
campsite	0.0490263
pushcart	0.0484769
Moesha	0.048445
"Consultative Group"	0.0480267
snit	0.0474552
bloomer	0.0472343
paramour	0.0472305
smooch	0.046983
tiff	0.0468832
double-double	0.046769
bequest	0.0462657
IGC	0.0460391
escapade	0.0453503
"pen pal"	0.0453402
"wrestling match"	0.045153
toupee	0.0443705
"fellow traveler"	0.0441144
"guardian angel"	0.0440945
vasectomy	0.0426158
Norberg	0.0424498
hyphen	0.0423274
interlude	0.0422627
"Mohamed Siad Barre"	0.0421792
"name tag"	0.0421402
"singing voice"	0.0421151
intercourse	0.0420825
"written agreement"	0.0420287
mixup	0.0418527
"grim reaper"	0.0417638
"herb garden"	0.0416577
dalliance	0.0414072
"stage name"	0.0413597
"day of reckoning"	0.041151
"Lee Atwater"	0.0404296
dustup	0.0404131
"Centre Court"	0.0402903
"nervous breakdown"	0.0402616
"Walter Matthau"	0.0402121
))
("blind man" (desc 2246.77) (sims
paraplegic	0.102623
goosebumps	0.0820952
"North Carolinian"	0.0809966
Macaque	0.0780097
"married man"	0.0779296
pixie	0.0731279
Bostonian	0.0726278
Adele	0.0724891
Allchin	0.0707504
Parisian	0.0697927
Englishman	0.0693711
redhead	0.0688041
"old woman"	0.0684201
divorcee	0.0665393
suburbanite	0.065797
"little leaguer"	0.0624752
"black woman"	0.0624073
Grinch	0.0617755
"working man"	0.061659
porcupine	0.0612393
"good Samaritan"	0.0611336
Mahomes	0.0608498
nobleman	0.0601276
Redgrave	0.0601258
"waiting game"	0.0600086
supplicant	0.0598923
Loretta	0.0593424
"Mission Control"	0.0590206
Englishmen	0.05889
"young lady"	0.058387
"Jeffrey Wigand"	0.0581136
non-whites	0.0580687
Virginian	0.0579196
panhandler	0.0577209
"little boy"	0.0575088
lass	0.0571964
Perrot	0.0564239
zebra	0.0563129
Scot	0.0552924
"great grandmother"	0.0552106
Irishmen	0.0551904
schizophrenic	0.0550637
"Byung-Hyun Kim"	0.0545966
squire	0.0543902
Yoakam	0.0543236
corporal	0.0542404
Englishwoman	0.0542067
waitress	0.054131
giraffe	0.0541001
stepdaughter	0.0539723
granny	0.0537559
Wolfson	0.0537126
Rhonda	0.0535991
"police captain"	0.0535482
"married woman"	0.0534598
nonentity	0.053265
"young girl"	0.053025
"telephone booth"	0.0529751
Noah	0.0528617
"white woman"	0.0528346
bumpkin	0.0526396
Nivel	0.0521123
Scotsman	0.0521027
Dunleavy	0.0518325
"foster mother"	0.0518075
"game warden"	0.0516653
Dalmatian	0.0516384
"Honda Civic"	0.0516349
donkey	0.0515188
Washingtonian	0.0514699
Klinsmann	0.051416
"Anakin Skywalker"	0.051071
Falk	0.050877
waif	0.0507189
sundial	0.0506089
"telephone book"	0.0505895
Casanova	0.0505728
geezer	0.050557
Irishman	0.0503499
Tennessean	0.050279
Midwesterner	0.0502576
tomboy	0.050165
Seaver	0.0501586
Tapia	0.0500658
"big leaguer"	0.0500529
"Seibu Lions"	0.05005
"bit part"	0.0499959
"English teacher"	0.0496081
Matthaeus	0.0493357
"belly dancer"	0.0492485
"police sergeant"	0.0490743
Ghanaian	0.0490702
"altar boy"	0.0490109
"leading lady"	0.0489916
"Roberto Duran"	0.0489895
"rich man"	0.0489298
Westbrook	0.0487709
Longo	0.0487688
Roadrunner	0.04868
herdsman	0.0486564
"white man"	0.0486321
"farm boy"	0.0485762
namesake	0.0485383
"general practitioner"	0.0485197
warhorse	0.0484951
yachtsman	0.0484425
Jessie	0.0483984
Polgar	0.0482335
Antley	0.0480967
"Little Dog"	0.048058
Fech	0.0479245
Gladiator	0.0479108
"civil engineer"	0.0477309
bridesmaid	0.0477264
Bertha	0.0477126
Kenna	0.0475096
"school teacher"	0.047487
hustler	0.047447
"Sang Lan"	0.0473616
"holy man"	0.0472768
"Golden Bear"	0.047187
clergyman	0.0470573
"polar bear"	0.0469665
"electrical engineer"	0.0469079
Sacagawea	0.0468743
leper	0.0465309
screwball	0.0465035
drifter	0.0464894
gaucho	0.0464275
"space capsule"	0.0463636
Asprilla	0.0463498
housewife	0.0463162
chap	0.0462689
skunk	0.0462517
"Hail Mary"	0.046189
gorilla	0.0461084
Frenchman	0.0460737
hyphen	0.0459686
parolee	0.0458531
hiker	0.0458287
"Van Roost"	0.0457893
Alonzo	0.0457285
rube	0.0457276
bridegroom	0.045694
"old lady"	0.045689
Lankford	0.0456563
Poe	0.0456556
"genetic disease"	0.0456479
scarecrow	0.0455981
"fictional character"	0.0454892
avenger	0.0454386
chauffeur	0.045377
Lampkin	0.0452938
Sabonis	0.0452888
Scrooge	0.0452847
Tallas	0.045277
Recchi	0.0452527
"jigsaw puzzle"	0.0452375
Sodom	0.0452032
buzzard	0.0451892
Dorsey	0.045178
bullfighter	0.0450604
Schlichtmann	0.0449857
"house painter"	0.0449732
Barker	0.0449506
schoolteacher	0.0448989
Frenchwoman	0.0448915
"bowling ball"	0.0448646
postman	0.0448432
Atler	0.0448384
Renee	0.0446505
newlywed	0.0446415
"eye doctor"	0.0446183
"Jackson Pollock"	0.0445767
"Tony Soprano"	0.0445492
Hunchback	0.0444257
"neurological disease"	0.0444125
koala	0.04441
"shop assistant"	0.0443574
Atlantan	0.0443319
"candy store"	0.0442401
Barksdale	0.0441828
"vegetable soup"	0.0441823
"opera star"	0.0441113
looker	0.0440613
Oedipus	0.0440256
choirboy	0.0440053
"white flag"	0.0439809
"young actress"	0.0439193
shrew	0.0439024
hare	0.0438891
treehouse	0.0438284
"hotel manager"	0.0438108
schooler	0.0438096
Higginson	0.0437396
Hoch	0.0437316
"Coptic Christians"	0.0437005
"con man"	0.0436588
Milkweed	0.0436044
loner	0.043573
))
("blind spot" (desc 1242.88) (sims
certitude	0.0801894
"oil slick"	0.079446
"guessing game"	0.0780373
indentation	0.0768446
"strong belief"	0.073672
misperception	0.0733689
"weak point"	0.0732249
artificiality	0.0685552
blinder	0.0685382
colloquy	0.0675723
deficiency	0.0666314
"written agreement"	0.0663019
"traffic circle"	0.065935
"line of products"	0.0648455
"air bubble"	0.0643795
pothole	0.0618007
turnoff	0.0617984
misconception	0.0605119
"change of direction"	0.0599932
"flat tire"	0.0590064
fibroids	0.0589571
Rubicon	0.0588379
"inferiority complex"	0.0587576
highflier	0.0586055
"written language"	0.0585633
"fire wall"	0.0582032
"malignant tumor"	0.0563186
inaccuracy	0.0562082
ignominy	0.0562075
dropoff	0.0557198
"gas plant"	0.0550163
"data file"	0.0548395
feint	0.0548354
"tax liability"	0.0546484
chink	0.0545641
mixup	0.0543458
"venereal disease"	0.0543419
hang-up	0.0542961
"ownership stake"	0.0539837
chasm	0.0538308
headway	0.0537888
"mine field"	0.0537574
ancients	0.0535434
evaders	0.0532429
"pedestrian bridge"	0.0532402
"radio telescope"	0.0529225
"parking area"	0.0528796
databank	0.0526733
"piece of cloth"	0.0525138
bottleneck	0.052398
"frame of reference"	0.0523157
"difference of opinion"	0.051921
"beach ball"	0.0518927
sinkhole	0.0517517
"preconceived notion"	0.0517376
"shower stall"	0.0516578
stinker	0.0516255
"margin call"	0.0516046
"sea lane"	0.0512214
"Little Dog"	0.0511921
fireball	0.0509606
"solid ground"	0.0506937
pluses	0.050677
"balanced diet"	0.0505817
"man's body"	0.0504659
"order book"	0.0503466
relativism	0.0501526
amnesia	0.0501474
"observation post"	0.0498017
"dollar sign"	0.0496959
potentiality	0.0496347
incoherence	0.049568
"sugar refinery"	0.0493424
disinterest	0.0493186
Tables	0.0490852
divider	0.0487763
quirk	0.0487599
"target area"	0.0487422
pinwheel	0.0486614
"inside information"	0.0484318
crapshoot	0.0484317
"Missouri River"	0.0483839
"sailing vessel"	0.0483084
cornice	0.0482949
backsliding	0.0480691
foreboding	0.0480618
"geographic area"	0.0477623
animus	0.0476739
belligerence	0.0476423
"Great Divide"	0.0475818
"sense of direction"	0.047558
Masa	0.0475537
eavesdropper	0.0475317
dimple	0.0475202
"open-air market"	0.047512
falsehood	0.0475094
gazebo	0.0473706
"reaction time"	0.0473404
"great deal"	0.0472602
"humpback whale"	0.0470675
"soft spot"	0.0470378
"debt market"	0.0470342
flashpoints	0.0470062
"rough water"	0.0469599
"eight homers"	0.0468508
"garbage dump"	0.0468013
"change of mind"	0.0466709
"petri dish"	0.0465498
qualm	0.0464779
"sweet tooth"	0.0464254
tarpon	0.0463333
wart	0.0463306
"point system"	0.0462599
rumour	0.046183
"hole in the ground"	0.0461724
hailstone	0.046038
chaparral	0.04599
"warm front"	0.0459291
falling-out	0.0458782
"white line"	0.0458065
downdraft	0.0457607
B.S	0.0457445
pitfall	0.0457056
"blue whale"	0.0456615
"work camp"	0.0455599
revers	0.0455151
"important person"	0.045488
receptivity	0.0454259
"parcel of land"	0.045228
stomachache	0.0452101
divot	0.0451752
u-turn	0.0450706
blemish	0.0450648
"slush fund"	0.0449359
"defense mechanism"	0.0448811
regrets	0.0448548
tete-a-tete	0.0447591
viaduct	0.0447173
"withholding tax"	0.0446739
side-effects	0.0446651
"tourist hotel"	0.0446252
crucifix	0.044504
misinformation	0.0444956
good-neighborly	0.0444807
"strong point"	0.0443892
sandbar	0.0443538
"point of reference"	0.0442009
"ice crystal"	0.0441984
absolutes	0.0441513
"picture window"	0.0441173
downtime	0.0440629
"good word"	0.0440456
fief	0.0439768
outcrop	0.0439689
birdbath	0.0438371
"good story"	0.0437792
"user fee"	0.0437481
feelings	0.0437207
"two Poles"	0.0437169
"no man's land"	0.0436797
"rest day"	0.0436634
"business line"	0.043624
posterior	0.0435443
"cargo area"	0.0434808
"septic tank"	0.043419
crevasse	0.0433431
"birthday card"	0.0432796
nunnery	0.0432461
"weather station"	0.0432403
"health check"	0.0432309
roadmap	0.0431983
"hot stock"	0.0429439
"light touch"	0.04294
waistline	0.0429325
waterworks	0.0428639
"ill will"	0.0428561
ruckus	0.0428504
"beach house"	0.0428351
"storm cloud"	0.0428074
"firing range"	0.0427885
"speed bump"	0.0427817
washout	0.0427277
"line of questioning"	0.0427255
iceberg	0.0425954
"business relation"	0.0425846
bogeyman	0.0425659
"Market system"	0.0424554
hiccup	0.0424521
favoritism	0.04234
"Gallup Poll"	0.0423159
campsites	0.0421957
"three pitchers"	0.0421894
misjudgment	0.0421396
"sales outlet"	0.0421216
homepages	0.0421125
"critical point"	0.042101
nosebleed	0.0420997
prophecy	0.0420982
firsts	0.0419783
hypotheses	0.0418294
))
(blinder (desc 843.76) (sims
"boxing glove"	0.230898
blinker	0.21689
"life vest"	0.151754
blackface	0.137662
earphone	0.135704
yarmulke	0.134665
"a few pounds"	0.134411
"name tag"	0.133359
"hard hat"	0.12494
absolutes	0.124891
"oxygen mask"	0.120007
"life jacket"	0.116439
"wedding ring"	0.112669
"dress uniform"	0.108297
"rubber boot"	0.10644
"dark glasses"	0.104346
afterburner	0.102732
"body armor"	0.100334
"bowler hat"	0.0993622
straitjacket	0.0992367
"cowboy hat"	0.0962096
"mink coat"	0.0949185
headgear	0.0948309
stethoscope	0.0925084
lampshade	0.091691
"bulletproof vest"	0.0899956
shackle	0.0898712
"prayer shawl"	0.0883404
tux	0.0877291
clicker	0.0872869
corset	0.0869436
hang-up	0.0867628
goggles	0.0866038
Meguid	0.0862753
coverall	0.0861145
clothes	0.0856389
loincloth	0.0853187
"combat boot"	0.084258
G-string	0.0841992
muzzle	0.0841639
headphone	0.0834786
earplugs	0.0833173
"neck brace"	0.0831855
bandage	0.0828822
tights	0.082244
"guardian angel"	0.0822297
hyphen	0.0819541
"shoulder pad"	0.0817468
Tsang	0.0811267
underpants	0.0810783
eyeliner	0.0790608
"roller skate"	0.0789365
knickers	0.0788989
"ski mask"	0.0786175
wristband	0.0772109
"frame of reference"	0.0770211
slipper	0.0765859
bandana	0.0765655
molar	0.0759742
"life preserver"	0.0757126
"Tim Fischer"	0.0756607
sunglasses	0.0755924
Rasmussen	0.0755025
Jayakumar	0.0754918
certitude	0.0753467
overcoat	0.0747537
pinstripes	0.0741585
Brittan	0.0737787
"magnifying glass"	0.0734978
splint	0.0729445
preconception	0.0728673
"bathing suit"	0.0727279
STETSON	0.0727268
armband	0.0725854
band-aid	0.0723095
bodysuit	0.0720599
Ruehe	0.0718281
Shamshad	0.071719
"running shoe"	0.0715209
parka	0.0715194
wader	0.071307
nightgown	0.0711658
raincoat	0.0709621
hex	0.0708556
spec	0.0706041
spacesuit	0.0702316
prosthesis	0.0699076
toupee	0.0698866
duster	0.0698688
skullcap	0.0698337
Walkman	0.0697449
zealotry	0.0697195
Gurirab	0.0696792
halter	0.0695008
bellbottoms	0.0694783
mitten	0.069435
pompom	0.0692828
Contreras	0.0689456
cudgel	0.0689446
inhibition	0.0687439
"military uniform"	0.0687412
bedfellow	0.0686769
"fig leaf"	0.0686497
"blind spot"	0.0685382
Boueiz	0.0685041
Tutu	0.0684783
Kasoulides	0.068473
Nzo	0.0679632
"baseball cap"	0.0678433
Iliescu	0.067681
pasty	0.0676361
Espinoza	0.067615
remotes	0.0675384
Speedo	0.0673908
"core group"	0.0672538
brassiere	0.0670513
"trench coat"	0.0665368
warhorse	0.0662926
"straw hat"	0.0659216
fedora	0.0658657
Rolex	0.065421
pajama	0.0653603
Zou	0.0652832
Hirohito	0.0651988
"cocktail dress"	0.0651956
"top hat"	0.0650142
Intimidator	0.0649037
"seat belt"	0.0647464
slicker	0.0646671
"face mask"	0.0646601
swimsuit	0.0643828
decal	0.0643213
Verney	0.0642854
"human face"	0.0642525
Yastrzhembsky	0.0641146
mitt	0.0640577
"dog tag"	0.0640242
"three words"	0.0639328
"coat of paint"	0.0638951
"wedding dress"	0.0636199
"feather boa"	0.0635496
nudist	0.0635023
kilt	0.0633548
Dodik	0.0632912
apron	0.0632051
"burden of proof"	0.0631
fibroids	0.0630972
suspender	0.0630328
pantyhose	0.0629933
readout	0.0628302
Velayati	0.0627286
defibrillator	0.0625267
"Albanian Kosovo Liberation Army"	0.0624822
swoosh	0.0621796
"sense of balance"	0.0620155
bodysuits	0.0620143
Alarcon	0.0618395
"British Foreign Office"	0.0618257
"belt buckle"	0.0618228
padding	0.0616468
stocking	0.0615393
"steam locomotive"	0.0612899
windbreaker	0.0611513
siding	0.0611346
"contact lense"	0.0609655
linoleum	0.0609478
"safety belt"	0.0607089
caseloads	0.0606719
Severino	0.0605959
Sheehan	0.0605006
Gargan	0.0603138
"baseball glove"	0.0603061
Whiting	0.0600689
hairpiece	0.0600229
polyp	0.0598334
turban	0.0598163
Duffy	0.0596758
"inferiority complex"	0.0596677
stopwatch	0.0594512
"piece of cloth"	0.0593976
Ashrawi	0.0593959
Etherton	0.0589338
inkjet	0.0588941
"nose ring"	0.0586269
"U.S. Soccer Federation"	0.0584354
Heinrichs	0.0583013
Bonnet	0.0581634
Ikimi	0.0581172
"fire wall"	0.0579944
tuxedo	0.0579812
taskbar	0.057857
"welcome mat"	0.0577924
bluejeans	0.0577321
"black tie"	0.0576713
Esposito	0.057533
Counsell	0.0575106
fizz	0.0574848
Langer	0.0574064
Twenty-seven	0.0573855
eyeshadow	0.0573763
))
(blindness (desc 15421.6) (sims
retardation	0.17657
Osteoporosis	0.158424
epilepsy	0.158262
cataract	0.150267
Obesity	0.14848
tuberculosis	0.147727
"heart disease"	0.14731
diabetes	0.144912
"high blood pressure"	0.143509
deafness	0.142591
infection	0.141766
dementia	0.141683
malnutrition	0.141542
leprosy	0.14052
hypertension	0.140306
asthma	0.140034
"cardiovascular disease"	0.138166
disease	0.133988
malaria	0.133913
paralysis	0.133213
diarrhea	0.131518
autism	0.130932
anemia	0.129362
pneumonia	0.125786
leukemia	0.125311
disorder	0.124913
"eye disease"	0.124668
"multiple sclerosis"	0.124633
ailment	0.122606
"heart failure"	0.122221
ulcer	0.121739
illness	0.121613
"tooth decay"	0.121253
"rheumatoid arthritis"	0.12091
"lung cancer"	0.119802
cancer	0.118841
Meningitis	0.117038
trachoma	0.116921
cholera	0.116403
Tb	0.115786
"skin cancer"	0.114836
disability	0.114819
"lead poisoning"	0.114017
hepatitis	0.113731
arthritis	0.112986
dehydration	0.112857
HIV/AIDS	0.11246
"memory loss"	0.112061
"juvenile delinquency"	0.11166
sickness	0.11057
schizophrenia	0.109926
emphysema	0.108172
"dengue fever"	0.107901
"infectious disease"	0.107794
diarrhoea	0.107204
"cystic fibrosis"	0.106524
"heart attack"	0.106346
polio	0.105455
"kidney disease"	0.104939
"health problem"	0.104924
gangrene	0.104849
"mental illness"	0.104744
"liver disease"	0.104403
"neurological disorder"	0.103261
Depression	0.103025
IDD	0.102907
"Parkinson's disease"	0.102847
syndrome	0.10235
"respiratory disease"	0.102283
Alzheimer	0.101552
impotence	0.101505
jaundice	0.100764
glaucoma	0.100668
"food poisoning"	0.100461
starvation	0.100141
migraine	0.0994242
"colon cancer"	0.0987812
Alcoholism	0.0978701
defect	0.0977927
insomnia	0.0977201
impairment	0.097679
"cerebral palsy"	0.0975574
"drug addiction"	0.0973669
"congestive heart failure"	0.0966755
HIV	0.0966391
myopia	0.0965863
miscarriage	0.0964958
epidemic	0.0963228
"sexually transmitted disease"	0.0960005
cirrhosis	0.0955675
"HIV/ AIDS"	0.0955012
"acquired immune deficiency syndrome"	0.0950147
fever	0.0942537
mortality	0.0942441
infertility	0.0938356
STDs	0.0935735
deficiency	0.0930649
syphilis	0.0918284
"communicable disease"	0.0917026
"blood clot"	0.0909963
"hepatitis B"	0.0904398
"muscular dystrophy"	0.090354
rinderpest	0.0894558
allergy	0.0889433
Rabies	0.0886785
hunger	0.0884336
encephalitis	0.0878251
"brain tumor"	0.0875757
complication	0.0874418
poverty	0.0872037
illiteracy	0.0867941
aids	0.0864056
"animal disease"	0.0858512
influenza	0.0855369
degradation	0.0845439
desertification	0.083816
"contagious disease"	0.0837919
Dysentery	0.0833836
Parkinson's	0.083334
"drug abuse"	0.083307
melanoma	0.0832214
Dengue	0.0824693
measles	0.082412
"acid rain"	0.0818704
incontinence	0.0818563
tumor	0.0812168
symptom	0.0811684
Addiction	0.0807724
"back pain"	0.0803727
osteoarthritis	0.0802116
degeneration	0.0798116
abnormality	0.079471
"mental disorder"	0.0793338
famine	0.0792722
hemophilia	0.0787938
deformity	0.0786732
mutilation	0.0785943
nausea	0.0776295
"air pollution"	0.0774053
"Lyme disease"	0.0768551
amnesia	0.0764365
numbness	0.076368
"manic depression"	0.0758328
relapse	0.0755894
dysfunction	0.0753487
deterioration	0.075239
lymphoma	0.0751749
"venereal disease"	0.0746441
seizure	0.0743207
"heart condition"	0.0735328
"alcohol abuse"	0.0730864
"heat exhaustion"	0.0729766
pain	0.0729576
virus	0.0729428
poliomyelitis	0.072825
"foot-and-mouth disease"	0.0724882
pollution	0.0722888
trauma	0.0721772
suffering	0.0721001
fatigue	0.0718089
scourge	0.0716502
stroke	0.0715568
heartburn	0.0712457
morbidity	0.0710866
hypothermia	0.0709919
"substance abuse"	0.0707284
amputation	0.0706222
insecurity	0.0704648
"side effect"	0.0704165
bronchitis	0.0702256
"water pollution"	0.0699814
"writer's block"	0.0696298
"soil erosion"	0.0694019
poisoning	0.0693632
piracy	0.0692905
disorientation	0.0691278
calamity	0.0690278
typhoid	0.0689743
frostbite	0.0689715
malady	0.0686251
imbalance	0.0682318
hemorrhage	0.0679481
suicide	0.06794
BSE	0.067809
erosion	0.0676939
flu	0.0676794
rollovers	0.0676475
pregnancy	0.0674618
"dog bite"	0.067305
fracture	0.0672866
acne	0.0671645
"blood pressure"	0.0669433
als	0.0666089
disaster	0.0661268
"yellow fever"	0.0658679
"forest fire"	0.0657584
CJD	0.065754
baldness	0.0657171
"skin disease"	0.0655413
catastrophe	0.0652354
))
(blink (desc 2545.05) (sims
"blink of an eye"	0.0825254
"split second"	0.056069
retina	0.052647
whir	0.0450674
"auction block"	0.0447838
first-grader	0.0431583
"snake eyes"	0.0417037
))
("blink of an eye" (desc 1002.07) (sims
"split second"	0.08
"first two quarters"	0.0701189
"slow motion"	0.0579089
"last nine months"	0.0554409
entirety	0.0539731
midstream	0.0508131
"Suzhou Industrial Park"	0.0491235
"previous @@ years"	0.0481461
"East Room"	0.0458961
"second overtime"	0.0445452
"straight line"	0.0441986
"next @@@ years"	0.0436798
"final period"	0.0431643
"first half-hour"	0.041544
"next @@ hours"	0.0413233
"Company of Men"	0.0407785
"Central Texas"	0.0406321
jest	0.0404906
fertilization	0.0404637
))
(blinker (desc 977.77) (sims
blinder	0.21689
"boxing glove"	0.158427
"life vest"	0.124981
prosthesis	0.117576
yarmulke	0.115814
earphone	0.113342
"hard hat"	0.111995
"oxygen mask"	0.108929
"neck brace"	0.10551
"a few pounds"	0.10265
goggles	0.0963179
"dark glasses"	0.0937546
blackface	0.0934718
"rubber boot"	0.0914737
headgear	0.0904622
"life jacket"	0.089911
"shoulder pad"	0.0898566
muzzle	0.0890221
headphone	0.0885713
"wedding ring"	0.0870893
STETSON	0.0869831
afterburner	0.0861746
"body armor"	0.0858261
"catalytic converter"	0.0851362
"life preserver"	0.0839242
splint	0.0839196
"dress uniform"	0.0833827
coverall	0.0833313
earplugs	0.0818316
"cowboy hat"	0.0810243
"prayer shawl"	0.0798411
pinstripes	0.0798394
fedora	0.0796621
"bowler hat"	0.0790551
G-string	0.0789519
"bulletproof vest"	0.0787799
tux	0.0778518
brassiere	0.0775464
Sipadan	0.0763967
loincloth	0.0750433
"mink coat"	0.0744909
"alarm system"	0.0739582
lampshade	0.0728748
Walkman	0.072649
presure	0.0723897
hyphen	0.0722242
headset	0.0720791
pillowcase	0.0714737
"name tag"	0.0707704
clothes	0.0703166
bandana	0.0695445
knickers	0.0692109
decal	0.0686277
bluefin	0.0683248
"feather boa"	0.0676035
wristband	0.0673021
undershirt	0.066942
"hearing aid"	0.0667475
armband	0.0667191
"eighth homer"	0.0663483
"face mask"	0.0662955
wader	0.0659235
numeral	0.06579
beepers	0.0657093
onus	0.0656501
"roller skate"	0.0652625
"yellow light"	0.0652487
skates	0.0650828
"top hat"	0.0647208
"coat of paint"	0.0642918
"ice pack"	0.0641212
skullcap	0.0640265
tights	0.0639261
"fig leaf"	0.0638328
toupee	0.0634345
"ski mask"	0.0634212
"business suit"	0.0631411
docker	0.0629021
"contact lense"	0.0629011
"military uniform"	0.0627875
bodysuits	0.0626728
"wedding dress"	0.0625979
"seat belt"	0.0623782
spacesuit	0.0622549
underpants	0.0622338
gloss	0.0622329
earpiece	0.0620701
"safety feature"	0.0620676
band-aid	0.0619432
mitten	0.0619122
"belt buckle"	0.0619027
bib	0.061481
tampon	0.0614655
"combat boot"	0.0613344
"two baskets"	0.0611978
bodysuit	0.0608401
overcoat	0.0603242
mustache	0.0600957
"shock absorber"	0.0600078
"A.P Indy"	0.0599568
hosiery	0.0596633
clenbuterol	0.0594739
"tag line"	0.0593434
nonwhites	0.0592773
proviso	0.0590271
raincoat	0.0590266
"sports jacket"	0.0588379
guidepost	0.0581784
"International Badminton Federation"	0.0580054
headband	0.0578929
ascot	0.0576676
windbreaker	0.057597
tiara	0.0575637
"London Marathon"	0.0575531
"Jenny Jones Show"	0.0575172
swoosh	0.0575009
identifier	0.0574466
"unearned run"	0.0573646
fizz	0.0572691
suiting	0.0572372
"warning light"	0.0572316
"one penny"	0.0572011
nightgown	0.0570033
parka	0.0569969
padding	0.056863
pasty	0.0568435
CCF	0.0568348
millisecond	0.0567327
clicker	0.0565386
sunscreen	0.0565123
"cocktail dress"	0.0564061
eyeshadow	0.0563005
"dollar sign"	0.0561574
specs	0.0561477
seatbelt	0.0558769
imprimatur	0.0558338
suspender	0.0557233
linoleum	0.0557138
mitt	0.0555979
cushioning	0.0555079
Espinoza	0.0550652
Dutchmen	0.0547248
Rezulin	0.0546894
eyeliner	0.0545324
cleat	0.0543568
slicker	0.0542966
"escape hatch"	0.0542743
"World Group"	0.0542182
"scarlet letter"	0.05374
snowshoes	0.0535121
Carollo	0.0534399
transponder	0.0532707
necktie	0.0532386
"iron fist"	0.0531513
"running shoe"	0.0531044
"safety belt"	0.0530505
Canty	0.0530072
capris	0.0529321
"solid ground"	0.0529056
Bonnet	0.0528024
monogram	0.0527715
"straw hat"	0.0525504
SIESTA	0.0524278
"bow tie"	0.0523344
bluejeans	0.0522186
fuzz	0.0521469
disclaimer	0.0520255
Campas	0.0519761
duster	0.0518853
"Tom Presthus"	0.0518635
stethoscope	0.0518523
leotards	0.0518343
"gas pedal"	0.0516919
covering	0.0516658
fishnet	0.0516454
bellbottoms	0.0515625
Speedo	0.0515245
respirator	0.0514373
"sixth homer"	0.0514259
finery	0.0514169
corset	0.0513255
"Cinergy Field"	0.0510881
Sari	0.0510699
"rest day"	0.0510449
kiddy	0.0508083
miniskirt	0.0506912
halter	0.050561
vestment	0.050482
watermark	0.0503916
tuxedo	0.0503388
"Arturs Irbe"	0.050261
Terps	0.0502195
"rough water"	0.0501896
"trench coat"	0.0501643
Rolex	0.0500958
nodule	0.0500134
tarp	0.049883
tinsel	0.0498695
hex	0.0496329
Battie	0.0494656
))
(blip (desc 9910.48) (sims
hiccup	0.121564
aberration	0.0977113
anomaly	0.0851818
fluke	0.0807955
speck	0.0791885
bump	0.0785547
dent	0.0781515
uptick	0.0730513
inconvenience	0.0716917
Correction	0.0714806
Ripple	0.0710883
glitch	0.0686605
dot	0.0679629
"small change"	0.0679155
glimmer	0.0647902
blot	0.0637497
flicker	0.0628545
fluctuation	0.0615002
upturn	0.060055
keystrokes	0.0599596
sideshow	0.0598696
Nuisance	0.0591363
coincidence	0.0586096
cog	0.0581645
hitch	0.0577423
fad	0.0576265
nonevent	0.0574574
"close call"	0.056774
adjustment	0.0566622
spike	0.0564586
letdown	0.0561279
footnote	0.0560599
jolt	0.055793
beep	0.0556734
cipher	0.0554907
reversal	0.0540073
slippage	0.0538959
setback	0.0535265
"turning point"	0.0533065
lull	0.0532456
"mouse click"	0.0529768
snapshot	0.0526317
"speed bump"	0.0519548
discrepancy	0.0512564
reflection	0.0505446
"window dressing"	0.0505169
exaggeration	0.0502575
"tidal wave"	0.0500847
slipup	0.0498431
annoyance	0.0492714
phenomenon	0.0489125
alteration	0.0487031
snippet	0.0482157
detour	0.0481041
outage	0.0479655
static	0.047827
mishap	0.0478132
"critical point"	0.0477831
"sour grapes"	0.047728
divot	0.0474796
peep	0.0474696
downturns	0.0474614
commotion	0.0472514
cursor	0.0472449
whiff	0.0471908
volatility	0.0470594
gasp	0.0467428
lump	0.0466924
lapse	0.0464558
downturn	0.0461339
misunderstanding	0.046014
revision	0.0460115
fuzziness	0.0459057
twinge	0.0456886
Luddite	0.0454906
variation	0.0454553
deviation	0.0453594
have-not	0.0452259
quirk	0.0452077
indication	0.0450863
malfunction	0.0450553
palliative	0.0449921
miscalculation	0.0449897
blemish	0.0449406
"piece of paper"	0.0448513
interruption	0.0447996
bubble	0.0445413
pup	0.044476
milestone	0.0444366
shakeout	0.0443781
distraction	0.0442542
gimmick	0.0442109
"seventh time"	0.0440263
oddity	0.0438262
"bear market"	0.0437126
wrinkle	0.0436716
"brush fire"	0.0436566
turnaround	0.0431559
outages	0.0431273
craziness	0.0430073
sliver	0.0429797
imperfection	0.0429627
reprieve	0.0429615
tidbit	0.0426672
"white elephant"	0.0425902
pixel	0.0425426
miscue	0.0424202
dropoff	0.0424127
fraction	0.042398
toehold	0.0422614
breakdown	0.0422082
"difference of opinion"	0.0421982
catastrophe	0.0421114
slowdown	0.0420475
distortion	0.04203
breather	0.0419942
"wishful thinking"	0.0418481
miracle	0.0416466
"three pitchers"	0.0416297
formality	0.0416191
morsel	0.0416136
misstep	0.0414352
subplot	0.041315
hundredth	0.041147
"white person"	0.0410393
juncture	0.041026
mortal	0.0409979
"yellow light"	0.0409822
caveat	0.0409598
"service break"	0.0409521
figurehead	0.0408897
blotch	0.0407842
interlude	0.0406161
harbinger	0.040443
headache	0.0404276
imbalance	0.0404173
acceleration	0.0403296
readout	0.0403267
ploy	0.0402936
uptrend	0.040165
paragraph	0.040081
))
(bliss (desc 11131.9) (sims
togetherness	0.0927353
happiness	0.0734886
exhilaration	0.0713236
tranquillity	0.0671873
serenity	0.0638161
unreality	0.0604787
joy	0.060295
wholeness	0.0599903
pleasure	0.0589876
intimacy	0.0583079
tranquility	0.0580747
immortality	0.0575909
harmony	0.0525477
enlightenment	0.0523379
beauty	0.0522907
perfection	0.0521198
transcendence	0.0516162
glory	0.0497331
contentment	0.0490305
elation	0.0485124
"deja vu"	0.0481579
domesticity	0.0479936
euphoria	0.0479509
introspection	0.0473591
enchantment	0.0469365
closeness	0.0468804
idyll	0.0465267
excitement	0.0461382
epiphany	0.0459453
pandemonium	0.0451434
exuberance	0.0447431
Silas	0.0446688
powerlessness	0.044533
greatness	0.0439022
oneness	0.043782
afterlife	0.0436689
well-being	0.0432137
redemption	0.0429954
horror	0.0428567
Romance	0.0426878
prosperity	0.0422972
suburbia	0.0418648
luxury	0.0416501
yearning	0.0416019
Vocation	0.0415082
enjoyment	0.0414415
misery	0.0412882
equilibrium	0.0412515
salvation	0.0411973
warmth	0.0411283
"here and now"	0.0410642
paradise	0.0410425
derring-do	0.0410111
solitude	0.0409839
normality	0.0409323
elegance	0.0408548
camaraderie	0.0407721
restlessness	0.040712
fantasy	0.0406607
fervor	0.0406
riches	0.0405202
misadventure	0.0404132
despair	0.0404065
repose	0.0403533
grandeur	0.0403378
madness	0.0402553
Hickman	0.0402345
adulation	0.0402005
utopia	0.0401163
))
(blister (desc 9241.2) (sims
sore	0.205391
bruise	0.158921
abscess	0.147124
soreness	0.137341
lesion	0.131052
tendinitis	0.126862
ulcer	0.120535
cramp	0.119341
hamstring	0.115999
inflammation	0.1142
stiffness	0.110457
scar	0.108485
spasm	0.108053
"back pain"	0.105325
"skin rash"	0.104262
tendon	0.103591
sprain	0.103433
abrasion	0.103008
welt	0.102227
fracture	0.10207
Gash	0.101683
swelling	0.0994881
groin	0.0978937
tightness	0.0963542
splint	0.0901551
rash	0.0900032
ligament	0.0898492
headache	0.089361
knuckle	0.0879372
contusion	0.087641
quadriceps	0.0839224
toe	0.0836733
muscle	0.0834743
vomiting	0.0830588
stomachache	0.0824946
ankle	0.0823956
bandage	0.0818387
ailment	0.0810892
wrist	0.0794621
concussion	0.0788665
scab	0.0788256
"index finger"	0.0784582
cyst	0.0779042
"upset stomach"	0.0775128
elbow	0.0764255
infection	0.0762347
laceration	0.075352
flu	0.0741718
irritation	0.0736197
knee	0.0730231
"skin disease"	0.0720232
ache	0.0720154
nausea	0.0708944
fever	0.0702972
wart	0.0687378
constipation	0.068566
lump	0.0671572
arthritis	0.06704
pain	0.0669691
diarrhea	0.0663074
"middle finger"	0.0661041
"sore throat"	0.0661037
stitch	0.0644859
nosebleed	0.0638837
numbness	0.0628475
thumb	0.0624841
scrape	0.0614605
band-aid	0.0608471
gangrene	0.0604928
pimple	0.059981
"ring finger"	0.0598952
"black eye"	0.0596491
"blood clot"	0.0595288
"wear and tear"	0.0593059
"wedding ring"	0.0591061
molar	0.0589972
clot	0.0586294
fatigue	0.0582384
finger	0.0580691
"memory loss"	0.0579277
symptom	0.0577691
migraine	0.0576327
calf	0.0576226
dizziness	0.0570385
rib	0.0568378
"rheumatoid arthritis"	0.0561045
insomnia	0.0558396
acne	0.0555527
shortness	0.0551351
cough	0.055103
"inferiority complex"	0.0546333
indigestion	0.0542822
cartilage	0.0536409
asthma	0.0535164
deformity	0.0534699
discomfort	0.0531955
"goose bumps"	0.0531806
sunburn	0.0531292
flexor	0.0531226
dehydration	0.052828
"food poisoning"	0.0525729
heartburn	0.052033
nerve	0.0518781
allergy	0.0513428
"morning sickness"	0.0505852
fingernail	0.0504951
gland	0.0504687
sinus	0.0500159
"rib cage"	0.0499239
cataract	0.0497493
fibroids	0.0497484
pneumonia	0.0495146
"achilles tendon"	0.0493935
"skin cancer"	0.0488385
"oil slick"	0.0487366
Osteoporosis	0.0487235
x-ray	0.048288
claw	0.0481815
convulsion	0.0479397
"hay fever"	0.0474381
"ice pack"	0.0471737
"high blood pressure"	0.0465011
coughing	0.0462499
sweating	0.0462357
bronchitis	0.0462211
mucus	0.0460309
hoof	0.0459812
syndrome	0.045687
encephalitis	0.04558
trauma	0.0455269
glaucoma	0.0453275
reflux	0.0453085
"neurological disease"	0.0451287
freckle	0.0450929
"ice crystal"	0.0448475
hangover	0.0446903
"health problem"	0.0446876
osteoarthritis	0.0446052
cirrhosis	0.0444045
condensation	0.0443145
"moral hazard"	0.0443072
drowsiness	0.0441819
mole	0.0441787
relapse	0.0441144
"respiratory disease"	0.0439357
"power failure"	0.043908
"lymph node"	0.0437026
"tooth decay"	0.0435872
tiredness	0.0435797
wasting	0.0435787
shin	0.0435502
thigh	0.0434773
"margin call"	0.0432696
outage	0.0430016
myopia	0.0427312
"cash crunch"	0.0426589
delirium	0.0426454
"cerebral palsy"	0.0425763
Chin	0.0425479
tumor	0.042385
"little finger"	0.0420169
forearm	0.0419451
splotch	0.0413885
"liquidity problem"	0.0413429
tenderness	0.0411049
blotch	0.0408534
jaundice	0.040783
limb	0.0407688
discoloration	0.04065
"heart valve"	0.0405262
lethargy	0.0405245
sickness	0.0404751
frostbite	0.0404092
whiplash	0.0404071
disorder	0.0402932
palpitation	0.0401946
Frost	0.0401418
"chest pain"	0.0400296
))
(blitz (desc 32075.8) (sims
"ad blitz"	0.113305
"advertising campaign"	0.10854
"ad campaign"	0.100649
onslaught	0.0974286
bombardment	0.0944553
offensive	0.0926243
barrage	0.0918971
"marketing campaign"	0.0898836
campaign	0.0841578
frenzy	0.0788236
"air raid"	0.0773041
AD	0.0770348
raid	0.0738116
spree	0.0731175
counterattack	0.0730636
"air attack"	0.0723792
stunt	0.0721326
flurry	0.0694379
"military campaign"	0.0690739
crackdown	0.0683819
commercial	0.0680423
Advertising	0.0670905
assault	0.0653823
ploy	0.0652283
walkout	0.0640011
advertisement	0.063148
spurt	0.0625744
manhunt	0.0611953
"political campaign"	0.0605608
aggression	0.0603165
maneuver	0.0601394
rush	0.0598454
hype	0.0598294
"fund-raising campaign"	0.059748
binge	0.0594152
tactic	0.0594142
airstrikes	0.059194
boycott	0.0591104
"hunger strike"	0.0584995
deluge	0.0584806
surge	0.0579563
battle	0.0579444
blizzard	0.0575554
"work stoppage"	0.0568605
strategy	0.056846
publicity	0.05651
scramble	0.056339
rollout	0.0558395
stoppage	0.0557308
juggernaut	0.0552707
scheme	0.054692
wave	0.0541069
extravaganza	0.0540484
whirlwind	0.0540375
propaganda	0.0538444
Gambit	0.053769
blackout	0.0537038
"marketing effort"	0.0535212
spate	0.053373
"military action"	0.053128
makeover	0.0526438
coverage	0.0524974
comeback	0.0524472
bonanza	0.0523417
initiative	0.0522967
burst	0.0522759
shelling	0.0521518
bombing	0.0518919
"surprise attack"	0.0518142
dragnet	0.0516
gimmick	0.0515539
"war game"	0.0514577
"heat wave"	0.0513938
campaigning	0.0512243
demonstration	0.0511686
boom	0.0511209
"training program"	0.0508774
firestorm	0.0506567
offense	0.0505741
backlash	0.0505187
sickout	0.0503118
scam	0.0498834
invasion	0.0493132
probe	0.0492503
incursion	0.0491485
purge	0.0487168
lawsuit	0.0486642
crusade	0.048609
"road show"	0.0484319
renovation	0.0481394
airstrike	0.0477995
criticism	0.0477534
meltdown	0.0475499
turnaround	0.0472451
filibuster	0.0471127
occupation	0.0471061
explosion	0.0468619
trick	0.0467365
overhaul	0.0467245
drought	0.0466959
festivity	0.0465718
layoff	0.0463996
inquiry	0.0463978
Promotion	0.0462148
interception	0.0461724
lull	0.0460435
rebellion	0.0460167
windfall	0.0458844
expansion	0.0456063
controversy	0.0454846
venture	0.0453784
cutback	0.0452804
"New Wave"	0.0451924
announcement	0.0451426
"education program"	0.0451019
tie-in	0.0450094
shutdown	0.0449386
storm	0.0448787
conflagration	0.0448284
coup	0.0446675
"enforcement action"	0.0445793
"running game"	0.0445504
sit-in	0.0445295
gaffe	0.0444604
disaster	0.0444204
violence	0.0443933
outburst	0.0443827
warfare	0.0442543
reshuffle	0.0442449
hoopla	0.0442259
contest	0.044156
celebration	0.044084
litigation	0.0438691
furor	0.0438263
"price war"	0.0436983
hunt	0.0436425
"rehabilitation program"	0.0436206
bloodshed	0.0435988
mailings	0.0435035
blockade	0.0434169
mistake	0.0433764
turmoil	0.0430634
intervention	0.0429848
rout	0.042978
riot	0.0428867
marathon	0.0428813
"tidal wave"	0.0428446
unrest	0.0428043
reorganization	0.0427795
showdown	0.0427656
punch	0.0427281
rampage	0.0427054
miscue	0.0426684
endeavor	0.0426381
revolt	0.0424906
glut	0.0424435
downpour	0.0424091
"educational program"	0.0423064
"pilot program"	0.0422851
touchdown	0.0421904
journey	0.0421657
spacewalk	0.0421187
recess	0.0421066
getaway	0.042021
blowout	0.0419328
spending	0.0418385
fund-raiser	0.0418001
parade	0.0417428
preview	0.0416632
Voyage	0.0416411
"protest march"	0.0416338
fighting	0.0416011
buzz	0.0415529
orgy	0.0414457
cycle	0.0413431
sell-off	0.0412819
provocation	0.0412072
avalanche	0.041189
itinerary	0.0411811
vigil	0.0411679
ordeal	0.0410978
"passing game"	0.0410877
rhetoric	0.04101
outcry	0.0409871
cleanup	0.0409479
drill	0.0409475
vacation	0.0409049
punt	0.040888
buildup	0.040863
"game plan"	0.0408447
looting	0.0407831
experiment	0.0407751
fumble	0.0407148
nightmare	0.0407104
slaughter	0.0406739
"rainy season"	0.0405867
"rate increase"	0.0405633
momentum	0.0405612
Exhibition	0.0405435
offering	0.0405181
))
(Blix (desc 2309.39) (sims
"Hans Blix"	0.194944
"Rolf Ekeus"	0.139139
Iger	0.136134
Maslyukov	0.13532
Kasyanov	0.128177
Ekeus	0.11245
Rodionov	0.112067
Bouteflika	0.109574
Ralston	0.100867
Koehler	0.100522
Majko	0.10023
Blatter	0.0997232
Chubais	0.0989846
Danforth	0.0989802
Coelho	0.0975377
Beye	0.0967676
Zarb	0.0961289
Zeroual	0.0956118
Romer	0.0943794
Primakov	0.0938277
Fraga	0.0928541
Nebiolo	0.0902388
Masire	0.0885508
Kenyon	0.0875719
"Bizima Karaha"	0.0874656
Fyodorov	0.0870552
Nanula	0.0862276
Holl	0.0856491
"De Klerk"	0.0839894
Whipple	0.0837428
Brundtland	0.0827873
Kouchner	0.0825037
Stepashin	0.0819757
Hormel	0.0816621
Eizenstat	0.0802589
"De Soto"	0.0799218
Mordechai	0.0797066
LaBella	0.0794057
Sahnoun	0.0791592
Singson	0.0790607
Ghani	0.0787277
Koop	0.0786686
Lebed	0.078505
Sharon	0.0782666
Taft	0.0780266
Moratinos	0.0778003
"Bill Lann Lee"	0.0776692
"Secretary-General Boutros Boutros-Ghali"	0.0773899
al-Sharaa	0.0772334
Nateq-Nouri	0.0771416
"Joschka Fischer"	0.0767603
Garza	0.076589
Zuma	0.0765092
Ritter	0.076301
Lari	0.0762993
Troussier	0.076186
Ivey	0.0761175
"Ariel Sharon"	0.075778
Boutros-Ghali	0.0754002
ROMNEY	0.0748579
Annan	0.0747408
Logue	0.0746715
Severino	0.0739988
Supachai	0.0738808
Diouf	0.0737965
Ivanov	0.0737257
Monson	0.0734772
"David Levy"	0.0733562
Tarawneh	0.0730862
Chernomyrdin	0.0730335
Blackman	0.0730086
Fiorina	0.0727958
"William Walker"	0.0720112
Velayati	0.0719783
Franchione	0.0719405
Grossman	0.0718966
"Kim Jong-pil"	0.0718883
guo	0.0713515
Chissano	0.0713199
Posner	0.0713136
Bildt	0.0709732
Wolfensohn	0.0702556
"Bernard Kouchner"	0.0699586
Schaeuble	0.06976
Alcorn	0.0695796
Neeman	0.0694564
"Kim Yong Nam"	0.0692205
Bashar	0.0691872
Kasich	0.0690638
Horowitz	0.0690623
"Al Fayed"	0.0688501
Deutch	0.0688298
Beckenbauer	0.0687936
Waigel	0.0686075
Zeman	0.0686019
"Tang Jiaxuan"	0.0686018
Obuchi	0.0685201
Gerardi	0.0682977
Blackwell	0.0682555
BNFL	0.0678383
hodgson	0.0677551
Merkel	0.0677183
"Lakhdar Brahimi"	0.0677126
Akbar	0.0677113
Faget	0.0676115
Welch	0.0675656
Koo	0.06754
O'Neil	0.0674658
Prewitt	0.0673456
D'Amico	0.0672847
Baer	0.0672713
Solana	0.0671966
Rossotti	0.0671605
Shevardnadze	0.0670274
Bulatovic	0.0670123
Patten	0.0668137
Salim	0.0666848
Bedie	0.0666125
Abubakar	0.066609
FPL	0.0663838
Goldin	0.0659548
Koirala	0.065778
"Edmund Ho Hau Wah"	0.0655994
Cheney	0.0655176
Jauron	0.0654932
Felten	0.0653765
Misuari	0.0652809
Johansson	0.0652319
Orban	0.0651803
McNamara	0.0651004
Mauro	0.0648506
McCaw	0.0647192
Dodik	0.0646625
Dowd	0.0646001
Brahimi	0.0644961
Chavalit	0.0644902
Mann	0.0643011
"Tariq Aziz"	0.0642148
Wolfson	0.0641082
Romar	0.0640302
Wannstedt	0.0639902
Mukora	0.0637055
Tsang	0.0636292
Egan	0.0635794
Kostov	0.0634138
Erbakan	0.0633954
Jobe	0.0632416
"Igor Ivanov"	0.0631983
Hiddink	0.0631507
Kiriyenko	0.0630668
Kaunda	0.0629363
Zadornov	0.0628676
Kissinger	0.0627869
Estrada	0.0627745
Erwin	0.0627477
"Salim Ahmed Salim"	0.0626869
Arens	0.0626805
Spock	0.0625756
Yavlinsky	0.0625492
Zou	0.0624555
"Chea Sim"	0.0623386
Turabi	0.0623035
Spitzer	0.0622418
"Mike Moore"	0.0622295
"Secretary- General"	0.0621897
Aleman	0.062164
Skiles	0.0621474
Zhao	0.0621467
Schroder	0.0621452
Kessler	0.0620785
Corzine	0.0620392
Abdel-Meguid	0.0619275
"Richie Phillips"	0.0619167
Kalejs	0.0618115
Gillick	0.0617856
BURNHAM	0.0614839
Hawke	0.0614703
Aznar	0.0614606
McCown	0.0613431
Tung	0.0613322
Peres	0.0612535
beamer	0.0611324
Hayden	0.0611162
Sassa	0.061097
McCaffrey	0.0609398
Steinberg	0.0608834
Podesta	0.060871
Yilmaz	0.0608674
lauder	0.0607704
Duisenberg	0.0606627
Akayev	0.0606556
Farnsworth	0.0606034
Hiett	0.0604492
Gurirab	0.0604392
"Richard Butler"	0.0604246
Flanagan	0.0603633
Eisenman	0.060327
Sergeyev	0.0602599
"H.D Deve Gowda"	0.0601055
Diller	0.0600475
))
(blizzard (desc 16951) (sims
snowstorm	0.222958
"ice storm"	0.139939
storm	0.132114
rainstorm	0.129894
Typhoon	0.128343
flood	0.127475
"flash flood"	0.123939
"heat wave"	0.123132
tornado	0.122427
deluge	0.117261
downpour	0.114308
squall	0.113616
gale	0.113028
avalanche	0.110331
Snowfall	0.10666
hailstorm	0.106306
cyclone	0.105727
flurry	0.105106
sandstorm	0.104859
"cold weather"	0.103517
windstorm	0.103325
fog	0.100555
hail	0.0996421
landslide	0.0994372
"tidal wave"	0.0976424
mudslide	0.0967179
rain	0.0964119
snow	0.0949557
drought	0.0947221
"dust storm"	0.0936687
hurricane	0.0934721
barrage	0.0919392
hailstone	0.0918634
"cold wave"	0.0901298
Frost	0.0899147
Thunderstorm	0.0887823
"bad weather"	0.0873614
earthquake	0.0870935
wind	0.0867895
onslaught	0.0837479
torrent	0.0827682
"cold snap"	0.0813407
"cold spell"	0.0812297
rainfall	0.0794619
weather	0.0792913
firestorm	0.0789287
"rain shower"	0.0772031
whirlwind	0.074931
monsoon	0.074572
wave	0.0737096
"power failure"	0.0733495
"volcanic eruption"	0.0725994
sleet	0.0720675
"high water"	0.0718296
shower	0.0716504
gust	0.0710217
blackout	0.0705831
twister	0.0703992
"high temperature"	0.0699968
precipitation	0.0697733
crosswind	0.0695355
cloud	0.0694452
humidity	0.0688737
lightning	0.0680464
"low temperature"	0.0675924
"forest fire"	0.0675019
"Hurricane Hugo"	0.0665281
cold	0.0660677
"Hurricane Floyd"	0.0657792
Rains	0.0657165
calamity	0.0653314
floodwaters	0.0638083
outage	0.0610161
"Hurricane Georges"	0.0609421
chill	0.0595835
drizzle	0.0590645
spate	0.0588674
famine	0.0588068
heatwave	0.0587579
disaster	0.0585534
"traffic jam"	0.0585259
wildfire	0.0583194
flooding	0.0581375
temperature	0.0580323
blitz	0.0575554
"crop failure"	0.057032
explosion	0.0570052
Haze	0.0569311
Quake	0.0565993
Babs	0.0565173
"market correction"	0.0564897
"weather conditions"	0.0563973
"economic crisis"	0.0558782
swirl	0.055809
crunch	0.0553262
"Hurricane Mitch"	0.0551023
temblor	0.0550067
epidemic	0.0549396
tsunami	0.0548708
"Hurricane Andrew"	0.0543664
tide	0.0541774
turmoil	0.0537739
"La Nina"	0.0535801
ream	0.0535575
walkout	0.0532629
eruption	0.0530396
turbulence	0.0527532
smog	0.0527373
frenzy	0.0526545
"ocean current"	0.0521056
darkness	0.0519996
downturn	0.051728
outages	0.0513719
chaos	0.05134
rash	0.0509253
sunshine	0.0503284
firefight	0.050096
recession	0.0500154
gunbattle	0.0499151
"El Nino"	0.0497139
"cold front"	0.0496048
Mitch	0.0494185
blur	0.0493488
"hot weather"	0.0493347
slew	0.0492242
"bear market"	0.0491955
sell-off	0.049075
conflagration	0.0490247
catastrophe	0.0489218
mishap	0.0488313
shortage	0.0484869
visibility	0.048345
tremor	0.0480004
bombardment	0.0478696
blaze	0.04765
rioting	0.0474781
"artillery fire"	0.0473279
fusillade	0.0471258
glare	0.0470893
riot	0.0469764
mist	0.046784
slump	0.0467404
sickout	0.0466198
thaw	0.0465153
meltdown	0.0464905
"brush fire"	0.0464867
malfunction	0.0463504
shutdown	0.0462665
flu	0.0461744
shelling	0.0459681
crises	0.0459371
downdraft	0.0459181
scarcity	0.0459163
tumult	0.0456698
sunlight	0.0453994
unrest	0.0451097
debris	0.0447661
gist	0.0445875
outbreak	0.0444169
"New Wave"	0.0443775
maelstrom	0.0443594
glitch	0.0441944
"soil erosion"	0.0434493
glut	0.0434426
thunder	0.0432028
"work stoppage"	0.043141
gridlock	0.0431228
inferno	0.0428626
aftershock	0.0426275
backlog	0.0426053
fireball	0.0425922
"cloud cover"	0.0423381
Depression	0.0420651
erosion	0.042019
closure	0.0419381
volley	0.0419087
climate	0.0418966
"good weather"	0.0418899
swoon	0.0417654
breeze	0.0416501
tragedy	0.0416015
adversity	0.0414957
dryness	0.0412542
beating	0.0412512
accumulation	0.0410595
"Hurricane Bonnie"	0.0409142
influx	0.0408753
moisture	0.0407537
cascade	0.0406429
disruption	0.0404976
raindrop	0.0403656
carnage	0.0402447
"plant disease"	0.0401898
"gold rush"	0.0400411
debacle	0.0400399
))
(BLM (desc 913.708) (sims
"Bureau of Land Management"	0.230108
"Forest Service"	0.188462
"U.S. Forest Service"	0.156155
"Park Service"	0.143178
"National Park Service"	0.142037
NLRB	0.134311
Massport	0.132817
DFG	0.121301
ADL	0.119884
"U.S. Fish and Wildlife Service"	0.115509
"Department of Corrections"	0.113667
FEMA	0.111424
"Interior Department"	0.108656
BIA	0.107202
SBA	0.106025
AOC	0.104765
"Russian Space Agency"	0.10301
"Federal Emergency Management Agency"	0.101785
EBRD	0.101715
DMA	0.101559
NSA	0.101283
IMG	0.101251
Comelec	0.0995099
DEP	0.0948581
Kimbell	0.0943969
PNP	0.0927593
"Fish and Wildlife Service"	0.0926386
"Small Business Administration"	0.0919073
"Department of Energy"	0.0918964
CSA	0.0913304
UNC	0.0904407
Cayuga	0.0880005
Nepa	0.0879845
"Pacific Lumber"	0.0847547
CBI	0.0845215
CSC	0.0841162
"National Trust"	0.0835006
HCFA	0.0833447
"Defense Agency"	0.0824088
TAZARA	0.0820741
"Agriculture Ministry"	0.0819138
ATC	0.0815758
WSU	0.0815581
"U.N. World Food Program"	0.0810465
"Energy Department"	0.0804487
NIH	0.0799096
"Culture Ministry"	0.0798728
Overnite	0.0789021
USTA	0.0783447
"Hong Kong Monetary Authority"	0.0781225
UNIDO	0.0777235
"Education Ministry"	0.077354
INEC	0.0769955
USOC	0.0769206
OCA	0.0765622
CAA	0.0763775
ATF	0.0759752
prudential	0.0759157
USAID	0.0759142
Hynes	0.0754518
UGA	0.0742781
CCA	0.07409
KPMG	0.0738121
ENTERGY	0.0730472
"Defense Department"	0.0726464
"customs service"	0.0723432
Moma	0.0720467
HKFA	0.0715192
NARAL	0.0714628
iXL	0.0712622
BOI	0.0709382
Morgenthau	0.0709195
"Housing Authority"	0.0709186
Pertamina	0.0704117
WIPO	0.0702968
KPA	0.0701726
"Transportation Department"	0.0700341
GSS	0.0696843
AFA	0.0694935
"Ethics Commission"	0.069336
FPL	0.0692286
MLB	0.0691846
FAA	0.0690692
Pemex	0.0687354
DEA	0.0683255
Wada	0.0682559
IAI	0.0680701
"Education Department"	0.0679448
"Department of Veterans Affairs"	0.0677773
"Mission Control"	0.0676866
MDC	0.0675485
Maasai	0.0673757
SEPA	0.0673133
UNHCR	0.0670689
CDC	0.0670371
"U.S. Environmental Protection Agency"	0.0670304
AG	0.0669645
"Census Bureau"	0.0668401
NASD	0.0667991
Lewises	0.0666972
"Department of Justice"	0.0665836
ABRI	0.0664288
"Board of Elections"	0.0663387
EPA	0.0658286
"Home Ministry"	0.0656069
CASS	0.0650062
TDB	0.0649314
Drexel	0.0649093
Baucus	0.0647136
ASO	0.0646106
HKTA	0.0643759
IEC	0.0643582
Kerasiotes	0.0642237
"Fidelity Investments"	0.0641011
BofA	0.0640603
USGA	0.0639841
Creationists	0.0639536
Yamaichi	0.0637242
DMV	0.063647
CCC	0.0635743
MSF	0.0632997
"Israeli Foreign Ministry"	0.0632233
NRC	0.063217
"Drug Enforcement Administration"	0.0630623
UC	0.0630249
DiCarlo	0.0625657
Emery	0.0625475
CSE	0.0624729
RIAA	0.0623028
ITF	0.0622787
"National Science Foundation"	0.0621126
va	0.0619427
"Department of Labor"	0.0618306
Trie	0.061757
"Immigration and Naturalization Service"	0.0617526
Enquirer	0.0616119
Lucasfilm	0.0615499
"Boys Ranch"	0.0614571
UA	0.0614379
OSHA	0.0614372
USEC	0.0612099
Lockyer	0.0609879
NCI	0.0606303
"Felipe Alou"	0.0605105
ACB	0.0603447
"Hongkong Telecom"	0.0599282
"Department of Defense"	0.0598404
PBA	0.059792
"Robertson Stephens"	0.0595843
Ghalib	0.0595262
NSC	0.0592307
IAEA	0.0591626
WFP	0.0590162
SSB	0.0587458
"Joe Torre"	0.0586853
DP	0.0585854
"jockey club"	0.0585035
CBK	0.0582989
"Federal Bureau of Investigation"	0.0582916
"De Beers"	0.0582068
UNDP	0.0581033
"Port Authority"	0.0579717
"welfare worker"	0.0579353
"Conde Nast"	0.0577305
SAA	0.0576924
"transit authority"	0.0576393
"Russian Interior Ministry"	0.0575881
"Ford Foundation"	0.0575569
peat	0.0575468
"Texas Department of Health"	0.0572383
"Agriculture Department"	0.0571421
"Pac Bell"	0.0571325
Advani	0.0568312
SAS	0.0567939
ZDTV	0.056627
"American Century"	0.0565373
UNAMET	0.0565316
"Andersen Consulting"	0.0564054
Arpaio	0.0564014
CAAC	0.056375
"Canadian International Development Agency"	0.056322
Jimy	0.0562515
All-Tech	0.0562227
"board of education"	0.0561379
CUC	0.055895
"PG&AMP;E"	0.055804
"Network Solutions"	0.0557976
NTSB	0.0556701
"Credit Suisse"	0.0556453
NHRA	0.0556058
Ciampi	0.0555643
MBNA	0.0553477
"Civil Aviation Authority"	0.0553242
GAAF	0.0553004
"last two digits"	0.0552591
Westendorp	0.0552167
BSO	0.0551166
"Beth Israel"	0.0548559
"Industry Ministry"	0.054775
"Health Department"	0.0547535
))
(Bln (desc 16627.8) (sims
Mln	0.309908
mil	0.103406
"about $@ billion"	0.0938433
"about $@@@ million"	0.0918704
"nearly $@ billion"	0.0903717
"about $@@ billion"	0.0852563
"nearly $@@ billion"	0.0831152
multibillion	0.0710207
"billion dollar"	0.0705476
"about $@.@ billion"	0.0689797
"nearly $@@@ million"	0.0686874
"more than @ billion dollars"	0.0681443
repurchase	0.0673997
Sells	0.067235
"nearly $@.@ billion"	0.065238
"U.S. STOCKS"	0.0648585
"over $@ billion"	0.0648056
"about $@.@@ billion"	0.0647412
"about $@@.@ billion"	0.0643256
billion	0.0629545
OKs	0.0625578
"almost $@@ billion"	0.0617592
multiyear	0.0614267
"about $@@ million"	0.0613895
multimillion	0.0583632
"two billion yuan"	0.0567894
"over $@@ billion"	0.0553383
"one billion yuan"	0.0535002
N.Z	0.0534518
"over $@ million"	0.0530375
"nearly $@@@ billion"	0.0526007
"entrance fee"	0.0523645
Italia	0.0516465
dlrs	0.0506526
"billion dollars"	0.0505455
euros	0.0497397
"nearly $@ million"	0.0495786
BUSINESSES	0.0494652
losses	0.0493045
"about $@ million"	0.0491777
"more than @@ billion"	0.0487843
"about $@@.@ million"	0.0486567
"more than @@@,@@@ yuan"	0.0485618
"about $@@@ billion"	0.0484632
"about $@.@ million"	0.048401
IPO	0.0478979
"nearly $@@ million"	0.0469737
"million dollars"	0.0469281
"hundred dollars"	0.04687
"almost $@ billion"	0.0463783
"over $@@@ million"	0.0455671
"about $@"	0.0455203
"five billion yuan"	0.0453027
"about @.@ billion"	0.0450625
"almost $@ million"	0.0449072
"one billion dollars"	0.0448291
"almost $@@@,@@@"	0.0440718
buyout	0.0439344
"more than @.@ billion yuan"	0.0437417
retail	0.0435953
"about @.@ billion dollars"	0.0430832
billions	0.0429149
WorldCom	0.0427831
"over $@@@"	0.0427336
"about $@,@@@"	0.0426996
"about $@@.@@"	0.0423464
"about $@@,@@@"	0.0423376
Banks	0.0419397
"more than @@@ million dollars"	0.0415556
Tropicana	0.0413571
yen	0.0410069
Mediaone	0.0409859
"over $@@@,@@@"	0.0406686
"about @@@ million dollars"	0.0405494
"about $@@@,@@@"	0.0403945
))
(blob (desc 5251.17) (sims
splotch	0.0942425
glob	0.0882715
clump	0.0751181
blur	0.0732797
blotch	0.0717797
icicle	0.0710821
wads	0.0688281
oleander	0.0677728
"slip of paper"	0.0652187
carnation	0.0630688
fireball	0.0620711
"ping-pong ball"	0.0612252
"wedding cake"	0.0608131
fleck	0.0593678
"beach ball"	0.0591053
lump	0.058773
tint	0.0584731
smock	0.0580284
speck	0.0579472
plume	0.0577918
shard	0.0574149
"food coloring"	0.0570687
scrim	0.0568283
"feather boa"	0.0563726
petal	0.0555953
orb	0.0543186
"jigsaw puzzle"	0.0542734
wisp	0.0531285
Beehive	0.0531055
goo	0.0528625
hunk	0.0528619
led	0.0527062
pinata	0.0525329
Halo	0.0521538
"Honda Civic"	0.0521232
wad	0.0520487
dragonfly	0.0517803
snowflake	0.0517058
sliver	0.0516324
shamrock	0.0514174
streamer	0.051358
glow	0.0512001
confetti	0.051172
ribbon	0.0506142
Bud	0.0505266
rosette	0.0503838
"air bubble"	0.0503136
foliage	0.0500641
waistcoat	0.05004
puddle	0.0497301
mosaic	0.0496368
checkerboard	0.0494267
"teddy bear"	0.0494014
TINDERBOX	0.0488107
"hole in the ground"	0.0486647
"tennis ball"	0.0485332
coating	0.048346
droplet	0.0483223
"mushroom cloud"	0.0480636
expanse	0.0478962
Lamborghini	0.0476874
heron	0.0476733
sacs	0.0473292
shawl	0.0472518
pinwheel	0.0471684
raincoat	0.0469289
splat	0.046891
turban	0.0467997
stripe	0.0467184
canary	0.0465318
"matinee idol"	0.0464864
"sheet of paper"	0.0463508
nightgown	0.0462023
"oil slick"	0.046193
poinsettia	0.045981
bauhinia	0.0459518
"Lincoln Town Car"	0.0457551
stripes	0.0457519
pane	0.0457381
dahlia	0.0456727
teapot	0.0456205
spoonful	0.0452419
thistle	0.0452076
rectangle	0.0451756
bandana	0.0451718
tile	0.0451693
slime	0.0450865
tube	0.045055
texture	0.0449141
mist	0.0448754
"laser beam"	0.0448686
slipper	0.044701
hue	0.044642
tarpaulin	0.0444027
sarcophagus	0.0443643
toolbox	0.0442399
umbrella	0.0440894
"Star of David"	0.0439865
"polo shirt"	0.0439571
lantern	0.0439394
"mink coat"	0.0438574
cylinder	0.0435598
"Jeep Cherokee"	0.0432439
knapsack	0.0432144
"spider web"	0.043122
frock	0.0430984
"Easter egg"	0.0430747
bogeyman	0.0430516
bead	0.0430377
cardigan	0.0430223
"live oak"	0.0429835
"water tower"	0.042955
"grocery bag"	0.0429289
Sheets	0.042903
"dress shirt"	0.0428909
marshland	0.0427322
vial	0.0426529
plumage	0.0426013
BOA	0.0425275
"body bag"	0.0420434
filament	0.0419029
critter	0.0418549
abalone	0.0418334
headband	0.0418054
pillow	0.0417059
snowball	0.0415529
gob	0.0414596
bodysuit	0.0414487
blouse	0.041386
smudge	0.0413245
"building block"	0.0411365
"polka dot"	0.0411189
bunting	0.0410633
"about @ tablespoons"	0.0408751
pastel	0.0408441
superhero	0.0408292
cityscapes	0.0406733
swoosh	0.0406044
wretch	0.0404801
"bathing suit"	0.0404675
"hot pants"	0.0403352
hulk	0.0402075
"stiletto heel"	0.0401342
"loaf of bread"	0.0401281
rainbow	0.0400429
overcoat	0.0400276
crystal	0.0400213
"big picture"	0.0400002
))
(bloc (desc 54019.4) (sims
grouping	0.153737
Alliance	0.144903
Mercosur	0.143528
Coalition	0.140959
EU	0.128674
"European Union"	0.125075
party	0.118174
ASEAN	0.116962
faction	0.115354
organization	0.106863
"North Atlantic Treaty Organization"	0.1045
"political party"	0.103318
group	0.103254
"Association of Southeast Asian Nations"	0.102815
union	0.102416
nation	0.0997872
country	0.0982908
NATO	0.0972315
"Southern Common Market"	0.0968633
"Andean Community"	0.0954112
"Labor Party"	0.0952297
"Commonwealth of Independent States"	0.0937421
SAARC	0.092858
government	0.0926954
"South American Common Market"	0.0915886
ally	0.0913401
Council	0.0912356
"Democratic Party"	0.0908196
"Liberal Democratic Party"	0.0906126
constituency	0.09013
"European country"	0.0900567
"Social Democrats"	0.0895811
majority	0.0888712
Likud	0.0877089
"People's Party"	0.0875661
conservative	0.0872445
"Rio Group"	0.0864212
opposition	0.0845244
SADC	0.0843566
community	0.0840048
"Christian Democrats"	0.0839045
"customs union"	0.0834359
COMESA	0.0833302
region	0.0832219
state	0.0830604
APEC	0.0829772
"Warsaw Pact"	0.0821171
"Social Democratic Party"	0.0815639
"Contact Group"	0.0810822
"member country"	0.0810788
"Liberal Party"	0.0802963
"trading partner"	0.0798714
Russia	0.0793214
federation	0.0792544
"National Party"	0.0786044
socialist	0.078526
Europe	0.0784764
"Likud Party"	0.0784646
"trade union"	0.0782566
Communist	0.0781844
movement	0.077668
"Communist Party"	0.077407
LDP	0.0772129
"Asian country"	0.0762032
"Socialist Party"	0.076185
committee	0.0760361
"Caribbean Community"	0.0759503
"Soviet Union"	0.0758773
"Arab League"	0.0758229
"Congress Party"	0.0757454
"international organization"	0.0756992
G-@@	0.075641
minority	0.0753745
"Gulf Cooperation Council"	0.0747107
GCC	0.0740966
G-@	0.074019
"absolute majority"	0.0737244
"United States"	0.0736085
"Asian nation"	0.0735077
China	0.0731942
"Southern African Development Community"	0.0731524
cabinet	0.0731331
Republican	0.0731118
leader	0.073025
Ci	0.0728638
"Bharatiya Janata Party"	0.0724186
"labor union"	0.0721492
administration	0.0720894
entity	0.072059
commonwealth	0.071874
member	0.0718011
"African country"	0.071795
institution	0.0716757
superpower	0.0716489
Democrat	0.0711694
"National Religious Party"	0.071111
lawmaker	0.0707281
"African National Congress"	0.0707267
ANC	0.0700851
commission	0.0697749
"United Nations"	0.0697709
market	0.0697422
"business community"	0.0697235
parliament	0.0694697
OPEC	0.069397
WTO	0.069321
Asia	0.0691638
OECD	0.0691528
partner	0.0689769
Confederation	0.0687305
denomination	0.0685774
industry	0.0685471
"Latin America"	0.0684462
association	0.0680301
economy	0.0679339
Israel	0.0678935
"Liberal Democrats"	0.0678681
consortium	0.0678392
"Group of Seven"	0.0678158
"European nation"	0.0677764
army	0.067626
Africa	0.0676036
voter	0.0674345
sector	0.0673725
BJP	0.0672673
leadership	0.0670678
OAU	0.0669788
"Group of @@"	0.0669489
Iran	0.0668501
"Economic Community"	0.0668491
"National Front"	0.0661914
Republic	0.0661139
"Eastern Europe"	0.0660673
hard-liner	0.0660655
independent	0.0660534
"United Front"	0.0659104
Shas	0.0659005
"political movement"	0.0656895
Yabloko	0.0656795
"Organization of Petroleum Exporting Countries"	0.065596
military	0.0655834
"Western Europe"	0.0654213
Assembly	0.0653213
Turkey	0.0652528
legislator	0.0651501
delegation	0.065075
Egypt	0.064968
liberal	0.0648251
CPP	0.0647989
continent	0.0645751
"financial institution"	0.0645678
legislature	0.064476
regime	0.0643786
nationalist	0.0642067
society	0.0640638
"European Community"	0.0640067
"Conservative Party"	0.0636912
Protestant	0.0636885
Poland	0.0635763
"task force"	0.063521
cartel	0.0632895
body	0.0632864
"South Africa"	0.0629541
India	0.0628897
"Popular Party"	0.0628754
Mexico	0.0628243
unionist	0.0627751
"Republican Party"	0.0627097
Pakistan	0.0625749
Ukraine	0.0625727
moderate	0.0625638
"oil producer"	0.062333
Britain	0.0621089
Congress	0.0620593
partnership	0.0618957
"Green Party"	0.0618505
"South Asian Association for Regional Cooperation"	0.06184
forum	0.0617859
"opposition party"	0.0615326
"steering committee"	0.0615057
"interest group"	0.061398
"Security Council"	0.0613267
Yugoslavia	0.0611285
caucus	0.0611174
"Center Party"	0.0610166
PRI	0.0608654
politician	0.0606692
Syria	0.0606224
"World Trade Organization"	0.0605175
Chile	0.0605077
candidate	0.0604988
"armed forces"	0.0603089
Hispanic	0.0603012
Japan	0.0602785
"working group"	0.0600442
U.S.	0.0599861
IOC	0.059978
"Southeast Asia"	0.0599484
vote	0.0598809
U.N.	0.0598406
))
(Bloch (desc 1675.69) (sims
Greenwald	0.12712
Shayler	0.110813
Segal	0.105184
Sobel	0.104017
Hanley	0.10341
Edelstein	0.102911
Winkler	0.102417
Hirsch	0.102035
Cooley	0.101417
Schiffer	0.100895
Mercurio	0.100273
Epstein	0.0985835
Weisman	0.0982087
Rosales	0.0971198
Wolff	0.0964769
Ding	0.0943972
Arbour	0.0943337
Larson	0.093671
Vogel	0.0933939
Dee	0.0929971
Arens	0.0924039
Chappell	0.0922671
Greenfield	0.0913196
Grossman	0.0910911
romano	0.0910158
Moceanu	0.0901019
Atwood	0.0899956
Salinger	0.0898891
Bogle	0.0890377
Bartley	0.0889387
Maurizi	0.087436
Krugman	0.0870404
Weil	0.0868594
Cleese	0.0866637
Hersh	0.0865443
Shulman	0.0863216
Osmond	0.0863136
Deutsch	0.0855015
Ruggiero	0.0854375
Auerbach	0.0847719
Nickerson	0.0846158
Silverstein	0.0845497
Grossberg	0.0839599
Iglesias	0.08384
Nolan	0.0838304
Azizah	0.0837113
Masire	0.0832731
Manners	0.0831039
Bulatovic	0.0827473
Donnelly	0.0825971
Ritter	0.0822756
Leibovitz	0.0822699
Roque	0.0818311
Davidson	0.0817371
Hearn	0.0807048
DiCicco	0.080687
Whyte	0.0806239
Margolis	0.0805924
Morse	0.0804951
Hendricks	0.0797981
Sheehy	0.0794159
Trulock	0.0793437
Broek	0.0789447
Schwartz	0.0788596
Howell	0.0788093
Majko	0.0785495
Cooke	0.0785468
Alexie	0.0778207
"Russell Peeler"	0.0775748
Goldstein	0.0773389
Nzo	0.0773015
Tomba	0.0767784
Verney	0.076617
Grasso	0.076128
McLachlan	0.0759227
Brazile	0.0759199
Wiatt	0.0758587
McIntyre	0.0757887
LeBlanc	0.0755241
Dench	0.0753734
Nunn	0.0748753
Kasoulides	0.0746992
Bonanno	0.0744113
Schell	0.0743533
Layden	0.0742509
Henley	0.0740587
Daley	0.0735535
Mullinax	0.0734533
Ono	0.0734395
Gorman	0.0733405
Eubanks	0.0732004
Hurley	0.0731366
Walden	0.0731241
Puzo	0.0729364
Zuckerman	0.072815
Figgis	0.072813
Sills	0.0724088
Rowe	0.0723782
Ulrich	0.0722103
Harris-Lewis	0.0722084
Cline	0.0720791
Zhang	0.0720205
Bosch	0.071972
Cochran	0.071695
Betts	0.0714692
Finkel	0.0711284
McHugh	0.0710823
Jorgensen	0.0709977
FAWCETT	0.0707983
Behr	0.070668
Barbour	0.0706293
Durwood	0.0705705
Lim	0.0705262
Paxon	0.0705164
Mahoney	0.070469
Hamlin	0.0704143
Berg	0.0702951
Talebi	0.0699979
Carlson	0.0699612
McCarty	0.069856
Lautenberg	0.0697333
Halberstam	0.0695828
Tierney	0.0695344
Rankin	0.0694874
Kassirer	0.0692936
lacy	0.0691948
Naipaul	0.0691522
Tilberis	0.0688421
Harrick	0.0688346
Duffy	0.0688272
Kurtz	0.0686022
Congeniality	0.0685662
Cubas	0.0682856
Wendt	0.0680838
Hawke	0.0678848
Mann	0.0678242
Ingram	0.0677947
Menuhin	0.0677412
Dion	0.0676169
Kamal	0.0675188
Hoogenband	0.0674993
Khalil	0.0674947
Broaddrick	0.067423
Hybl	0.0673827
Yoon	0.067368
Hodler	0.0673052
Donohue	0.0672489
Klein	0.0672424
Stoyanov	0.067141
Harrell	0.0670568
Baugh	0.0669639
Kelleher	0.0669426
Marineau	0.0669403
McWilliams	0.0668584
Evans	0.066822
Stacy	0.0667836
Harman	0.0666623
Brittan	0.0666262
Mustafa	0.0666101
Pryor	0.0665597
Ozawa	0.0664647
Hahn	0.0663553
Stahl	0.0663421
Briscoe	0.0661303
Poole	0.0660149
Kopp	0.0660073
Narayanan	0.0659529
Crocker	0.0659246
Lehmann	0.0657892
Hickman	0.0657563
Clooney	0.0656688
Bao	0.065666
Lileikis	0.0655457
Ekeus	0.065531
Byrdsong	0.0655101
Chevenement	0.0654782
"Larry Sabato"	0.0652337
Patten	0.0650315
Zeroual	0.0650088
Woodward	0.0648473
Baxter	0.0648426
Bertha	0.0648246
Postol	0.0647702
Haas	0.0647439
Krall	0.0647343
Fagan	0.0646789
Chung	0.0646501
Levine	0.0646135
Dickinson	0.06448
Osborne	0.0644756
Gravano	0.0643823
Nugent	0.0641549
Gutman	0.0641526
Moser	0.0640708
McLaughlin	0.0640169
Ben-Ami	0.0639827
Rodgers	0.0639469
Adler	0.0639382
Allard	0.0639076
Williamson	0.0638588
))
(block (desc 125867) (sims
street	0.111845
building	0.109321
mile	0.098139
"a few miles"	0.0939679
yard	0.0905673
brick	0.0892775
neighborhood	0.0875958
Tower	0.0841102
"apartment building"	0.08395
feet	0.0827027
house	0.0810802
wall	0.0798072
complex	0.0796613
"two miles"	0.0794965
area	0.079083
square	0.0788486
"half mile"	0.077771
road	0.0770799
floor	0.0751029
apartment	0.0736295
slab	0.0736204
walk	0.0716096
park	0.0715615
corner	0.0714629
gate	0.0711106
home	0.0708207
box	0.0702942
piece	0.0702819
section	0.0697577
stone	0.0696554
"three miles"	0.0694083
door	0.0689383
hotel	0.0678736
"about @@@ yards"	0.0672093
site	0.0670499
"apartment house"	0.0667491
downtown	0.0667086
structure	0.0667007
car	0.0662168
hill	0.0662028
village	0.0661712
field	0.065922
chunk	0.0657544
room	0.0657322
bridge	0.0655802
"about @@ miles"	0.065287
kilometer	0.0647472
rebound	0.0644267
"office building"	0.0641292
rock	0.0641018
row	0.0639458
tree	0.063418
"parking lot"	0.063344
store	0.0633082
factory	0.0631892
ball	0.0630893
bus	0.0628081
table	0.0627201
base	0.0627109
sidewalk	0.0626786
shop	0.0626228
strip	0.06235
pass	0.0619862
screen	0.0618039
town	0.0617214
space	0.0615535
truck	0.0612178
line	0.060858
fence	0.0607579
Concrete	0.0607138
highway	0.0599507
bar	0.0599499
center	0.0598303
corridor	0.0596871
shot	0.0594763
dozen	0.0592264
restaurant	0.0591881
campus	0.0587328
garage	0.0587201
zone	0.0586575
compound	0.0586487
place	0.058595
district	0.0585106
land	0.0582828
avenue	0.0582567
hall	0.0582129
barricade	0.0582081
Warehouse	0.0578866
side	0.0578363
ground	0.0575378
train	0.0574756
part	0.0574452
"main street"	0.0573295
lane	0.057184
bag	0.057052
roof	0.056951
mountain	0.0569278
station	0.0568595
lot	0.0568053
window	0.0567167
property	0.0566836
bed	0.0564823
track	0.0563406
plaza	0.0560383
farm	0.0560153
church	0.0559808
roadblock	0.0559702
wood	0.0559149
glass	0.0558064
monument	0.0556682
mall	0.0554741
step	0.0554132
garden	0.0554067
seat	0.0553538
stretch	0.0552282
trailer	0.0551973
theater	0.0550126
tile	0.0548374
north	0.054829
mansion	0.0547116
distance	0.0547084
city	0.0546628
location	0.0545222
Shell	0.0545165
layer	0.05442
tank	0.0543613
barrier	0.0540766
boat	0.054031
patch	0.0539486
island	0.0537973
vehicle	0.0535693
storefront	0.0535637
museum	0.0535442
tunnel	0.0531457
dwelling	0.05312
office	0.0531124
gallery	0.0531093
some	0.0530175
subdivision	0.0529944
facility	0.0529457
plant	0.0529027
facade	0.0526693
chair	0.0526591
pool	0.0526263
two	0.0524714
beach	0.0523776
ride	0.0523618
market	0.0523162
tent	0.0522506
skyscraper	0.052139
page	0.0520758
pipe	0.0520227
spot	0.0519969
front	0.0518619
cylinder	0.0516045
plate	0.0515586
cafe	0.0514661
furniture	0.0513692
pile	0.0511221
tract	0.0510451
suburb	0.0510328
shelter	0.0510025
point	0.0509695
south	0.0509512
lake	0.0509494
hundred	0.0509401
east	0.0509237
people	0.0508573
statue	0.0507563
stair	0.0507348
scene	0.0507301
bunker	0.050708
rectangle	0.050706
hut	0.0506945
back	0.0506837
Three	0.0504036
acre	0.050396
portion	0.0502394
sack	0.0501675
basement	0.0501657
stadium	0.0501247
cliff	0.0501063
frame	0.0500896
library	0.0500801
unit	0.0499169
bloc	0.0499164
half	0.0498285
desk	0.0498126
pier	0.0497884
"shopping center"	0.0497767
earth	0.0497708
shack	0.0496226
log	0.0495839
palace	0.0493626
plane	0.0493572
hospital	0.0493048
camp	0.0492079
"about @@ kilometers"	0.0492038
hour	0.0491661
entrance	0.0491599
))
(blockade (desc 26886.8) (sims
embargo	0.179698
"trade embargo"	0.17228
sanction	0.14083
boycott	0.129308
bombardment	0.12387
closure	0.120899
"military action"	0.11654
aggression	0.116375
strike	0.116028
walkout	0.106329
"air attack"	0.106266
occupation	0.105301
"work stoppage"	0.10163
siege	0.101463
bombing	0.0993179
sickout	0.0972855
shelling	0.0959502
roadblock	0.0944403
airstrikes	0.0925911
"air raid"	0.0922492
ban	0.0908308
invasion	0.0904224
attack	0.0902226
restriction	0.0877671
raid	0.0874735
shutdown	0.0871902
crackdown	0.0861093
"hunger strike"	0.0851258
barricade	0.084971
cordon	0.0841326
demonstration	0.0835483
curfew	0.0834985
protest	0.0826915
sit-in	0.0804097
intervention	0.0801503
"military campaign"	0.0797775
blackout	0.0791768
incursion	0.0785276
isolation	0.0779463
freeze	0.07731
unrest	0.077159
repression	0.0769532
blockage	0.0757684
assault	0.0757383
stoppage	0.0757068
shortage	0.0754323
"security measures"	0.0753073
offensive	0.075181
annexation	0.0750834
disruption	0.0737518
onslaught	0.0730152
action	0.0729996
violence	0.0728834
disturbance	0.0727989
riot	0.0712043
confrontation	0.0710896
provocation	0.0710846
checkpoint	0.070798
"trade barrier"	0.0706586
airstrike	0.0703239
instability	0.0701713
inspection	0.0700839
patrol	0.0694205
blocking	0.0690712
surveillance	0.0684792
censorship	0.0683118
sabotage	0.068235
standoff	0.0681271
insurgency	0.06798
suspension	0.0678679
detention	0.0678443
"protest march"	0.0677744
encirclement	0.0677478
destruction	0.0674175
lockout	0.0674117
stalemate	0.0673887
"economic crisis"	0.0672417
interference	0.0663415
withdrawal	0.0658414
war	0.0655986
"traffic jam"	0.0655368
drought	0.0655251
turmoil	0.0653674
impasse	0.0648526
buildup	0.0648262
slowdown	0.0647925
deployment	0.0647725
moratorium	0.0647643
prohibition	0.0641441
imposition	0.0638942
rioting	0.0637825
threat	0.063628
cutback	0.0635143
crisis	0.0634882
evacuation	0.0633689
hostility	0.063298
"price increase"	0.0631673
congestion	0.0629934
rationing	0.0628993
fighting	0.0627777
takeover	0.0626997
looting	0.0625771
expansion	0.0624135
cease-fire	0.0623555
"civil disobedience"	0.0622271
famine	0.0621656
clash	0.0620544
escalation	0.0618207
pullout	0.0617958
conflict	0.0617958
scarcity	0.0616893
devaluation	0.0614876
harassment	0.0613887
expulsion	0.0613491
"budget cut"	0.0612495
construction	0.0609204
chaos	0.0607069
massacre	0.0603959
killing	0.0602171
crises	0.0601423
seizure	0.0601176
ultimatum	0.0600659
suppression	0.0595217
barrier	0.0594614
layoff	0.0593761
barrage	0.0593623
mutiny	0.0593578
manhunt	0.0590506
crunch	0.0588805
tension	0.0587244
presence	0.0584594
tariff	0.0582091
overproduction	0.0580254
domination	0.0579907
containment	0.0579132
bottleneck	0.0578955
hegemony	0.057706
brownout	0.0575136
"price control"	0.0574957
cancellation	0.057476
ceasefire	0.0574091
clampdown	0.057401
deadlock	0.0570923
"arms race"	0.0569385
traffic	0.0567504
"martial law"	0.0566395
atrocity	0.0563532
influx	0.0562408
rebellion	0.056208
flood	0.0561995
hardship	0.0561795
downturn	0.0560712
outages	0.0559494
bloodshed	0.0559386
calamity	0.0558517
constraint	0.0557778
deterioration	0.0557364
refusal	0.0556631
cleansing	0.055609
ambush	0.0555607
segregation	0.0553762
rejection	0.0552034
security	0.055203
uprising	0.0550636
turbulence	0.0550133
reprisal	0.0549871
slump	0.0549815
maneuver	0.0549738
vigil	0.0548748
encroachment	0.0548112
violation	0.0547981
insurrection	0.0547359
explosion	0.0544983
teach-in	0.0544584
terrorism	0.0544437
postponement	0.054436
"civil war"	0.0543717
"bad weather"	0.054359
patrolling	0.0542493
kidnapping	0.0542204
firing	0.0541548
catastrophe	0.0541324
Privatization	0.0540765
settlement	0.054032
oppression	0.0539444
hijacking	0.0537483
pullback	0.0537173
strife	0.0536825
flooding	0.0535829
quarantine	0.0535327
interruption	0.0533285
breakup	0.0531169
breakdown	0.0529993
burden	0.0529758
meltdown	0.0528417
confiscation	0.0527688
gridlock	0.0527356
coercion	0.0527203
intransigence	0.0526779
"war game"	0.0526712
))
(blockage (desc 10238) (sims
clot	0.186193
"blood clot"	0.164578
inflammation	0.133636
aneurysm	0.118938
malformation	0.101172
abnormality	0.0977918
lesion	0.0959167
malfunction	0.0911245
blocking	0.0897897
"engine failure"	0.0866696
hardening	0.0864834
tumor	0.0855648
infection	0.0846061
spasm	0.0841282
leakage	0.0834032
hemorrhage	0.083239
swelling	0.0811196
"brain tumor"	0.0794309
melanoma	0.0770595
ailment	0.0769725
disorder	0.0764985
defect	0.0764902
"accounting problem"	0.0764598
obstruction	0.0758525
blockade	0.0757684
stoppage	0.0756554
"skin cancer"	0.0752376
polyp	0.0750889
lining	0.074331
relapse	0.0739918
"liquidity problem"	0.0739777
arrhythmia	0.0700755
"heart failure"	0.0697518
"crop failure"	0.0694306
disruption	0.0691621
paralysis	0.0689616
"heart condition"	0.0680566
fibrillation	0.0679371
rupture	0.0679314
contamination	0.0679024
"mental disorder"	0.0672518
fracture	0.0670943
complication	0.0664089
"heart attack"	0.0661389
"Lyme disease"	0.0659754
"lead poisoning"	0.0658902
outages	0.0658358
nearsightedness	0.0657829
"cash crunch"	0.0656604
impairment	0.0654522
hernia	0.0654
dilation	0.0653015
deformity	0.065056
artery	0.0648368
cataract	0.0646036
interruption	0.0645528
buildup	0.0645
"safety problem"	0.0644016
"liver disease"	0.0638818
anemia	0.0635797
arthritis	0.0634432
poisoning	0.0634404
atherosclerosis	0.063293
bottleneck	0.0632484
congestion	0.063081
hypertension	0.0628258
"food poisoning"	0.0623599
"heart disease"	0.0623051
ulcer	0.0622365
disturbance	0.0621634
misunderstanding	0.0621035
trauma	0.0620857
cancer	0.061751
"eye disease"	0.0616335
corrosion	0.0615335
breakdown	0.0614933
angina	0.0611084
degradation	0.061044
malnutrition	0.0609869
mutation	0.0609701
deterioration	0.0607795
side-effects	0.0602242
glitch	0.0598866
cirrhosis	0.059772
"side effect"	0.0597416
"blood vessel"	0.0595601
gallstone	0.0594527
gangrene	0.0593367
"flash flood"	0.0590439
discomfort	0.0588793
"plant disease"	0.0588595
rollovers	0.0588465
allergy	0.0586548
toxicity	0.0585193
outage	0.0584504
illness	0.0583715
tendinitis	0.0579113
"power failure"	0.0573489
malady	0.0573429
"dog bite"	0.057282
"health problem"	0.0572511
"respiratory disease"	0.0571371
dehydration	0.0571209
narrowing	0.0570524
diarrhea	0.0569584
sunburn	0.0567935
Osteoporosis	0.0567474
"high blood pressure"	0.0567243
"Parkinson's disease"	0.0563554
erosion	0.0562795
deficiency	0.0561615
"memory loss"	0.0559133
hiccup	0.0554937
accumulation	0.0554568
cramp	0.0554178
dredging	0.0553577
tissue	0.0553116
friction	0.055287
acne	0.0552663
"short circuit"	0.0548442
nodule	0.0547083
overload	0.0546869
"neurological disease"	0.0546214
contraction	0.0546136
"traffic jam"	0.0545697
incontinence	0.054523
soreness	0.0545154
anomaly	0.0544609
"asthma attack"	0.0544502
"lung cancer"	0.0543838
"colon cancer"	0.0543378
"water pollution"	0.0543337
deafness	0.0542065
heartburn	0.0539337
melting	0.0534286
irritation	0.0533786
"dengue fever"	0.0533418
calamity	0.0533349
fibroids	0.0532693
infestation	0.0531572
deformation	0.0531116
dementia	0.0530482
pollution	0.0530046
"financial loss"	0.0529725
indigestion	0.0528958
deprivation	0.0528737
seizure	0.0527493
overdose	0.0526921
downturn	0.0526862
cyst	0.0526832
malignancy	0.0524674
shakeout	0.0524442
tightness	0.0523653
leukemia	0.0522433
"malignant tumor"	0.052068
migraine	0.0520638
dislocation	0.0520213
asthma	0.0519286
clotting	0.0517844
imbalance	0.0516858
"rheumatoid arthritis"	0.0515857
stiffness	0.0515387
siltation	0.0514468
pneumonia	0.0512476
outflow	0.0512373
mudslide	0.0512126
derailment	0.0511259
turbulence	0.0509067
glut	0.0508302
irregularity	0.0507077
catheter	0.0507072
Psychosis	0.0505174
"work stoppage"	0.0504645
backlog	0.0504565
blackout	0.0504367
blindness	0.0504244
CJD	0.0503018
rationing	0.0501565
"market correction"	0.0501436
trachoma	0.0500984
fatigue	0.0500692
molar	0.0499941
dysfunction	0.0498454
infertility	0.0498406
sickness	0.0497783
"forest fire"	0.0497387
Depression	0.0496971
"heat exhaustion"	0.0496613
autism	0.0495242
"air bubble"	0.0494679
subsidence	0.0494028
"genetic disease"	0.0493447
Distress	0.0492574
parasite	0.0491631
abscess	0.0491513
frontage	0.0490283
pileup	0.0488631
flaw	0.0487102
crunch	0.0485886
dryness	0.048564
))
(blockbuster (desc 25500.3) (sims
movie	0.0996833
film	0.0841591
thriller	0.0838294
comedy	0.0834597
flop	0.0790365
"Rite Aid"	0.0780508
musical	0.077478
Godzilla	0.0770597
"Star Wars"	0.0722692
"feature film"	0.0720469
epic	0.0719948
flick	0.0695103
"Toy Story"	0.0682522
Titanic	0.0678971
sequel	0.0674435
CompUSA	0.0666715
"motion picture"	0.066139
dud	0.0660461
extravaganza	0.0657331
"Best Buy"	0.065085
"best seller"	0.0642745
Disney	0.0640069
"Saving Private Ryan"	0.0630221
Kroger	0.0628552
Armageddon	0.0621389
"science fiction"	0.0618298
"Circuit City"	0.0617303
sleeper	0.0615597
remake	0.061225
sitcom	0.0608829
breakout	0.0603233
moneymaker	0.0602158
prequel	0.0600649
bonanza	0.0600253
indie	0.0597588
adventure	0.0596872
breakthrough	0.059183
"love story"	0.0587347
"box office"	0.0585087
drama	0.058372
"Barnes &AMP; Noble"	0.0582715
classic	0.0581968
"Home Depot"	0.0581325
Safeway	0.0572113
"Phantom Menace"	0.0567619
Albertson's	0.0567379
"television show"	0.0550642
"TV show"	0.0550453
spoof	0.0545553
PolyGram	0.0544743
"TV movie"	0.0544378
fantasy	0.0544254
revival	0.0540162
IMAX	0.0536156
"sixth sense"	0.0533842
"Runaway Bride"	0.0532711
"Jurassic Park"	0.0532402
spectacular	0.053125
"Blair Witch"	0.0527877
Antz	0.0525989
Kmart	0.0523835
Entertainment	0.0521811
miniseries	0.052151
Tarzan	0.0520337
immortal	0.0517864
sensation	0.051684
"Big Daddy"	0.0511928
cartoon	0.0508846
Kodak	0.0508706
serial	0.0507325
video	0.0505775
Grisham	0.0503321
X-MEN	0.0501429
"morality play"	0.0499917
Staples	0.0499681
"American Pie"	0.0498148
offering	0.0497882
concert	0.0497505
mini-series	0.0496606
MGM	0.049454
"game show"	0.0493687
shocker	0.0493479
bestseller	0.0493233
Seagram	0.0492711
whodunit	0.0491641
"Burger King"	0.0490503
juggernaut	0.0489623
toy	0.0489472
Waterboy	0.0488881
Mulan	0.0488245
genre	0.0488164
"consumer electronics"	0.0487504
"Wild Wild West"	0.0485968
TV	0.0483596
off-Broadway	0.0483404
"Time Warner"	0.0483125
"Blair Witch Project"	0.0483095
Wal-Mart	0.0482719
Hollywood	0.0481234
GANNETT	0.047775
noir	0.047773
fiction	0.0477589
"Star Trek"	0.0475028
"success story"	0.0474077
Starbucks	0.0473646
tale	0.0473272
trilogy	0.0473176
"soap opera"	0.0473055
"Eyes Wide Shut"	0.0471309
western	0.0470984
masterpiece	0.0470404
PLDT	0.0470229
"Forrest Gump"	0.0469494
acquirer	0.0469417
adaptation	0.0468518
Vivendi	0.0468089
mystery	0.0467806
"musical comedy"	0.0466832
"Erin Brockovich"	0.0466523
"Toys R Us"	0.046551
retailer	0.0465384
Walmart	0.0465378
crossover	0.0464548
cliffhanger	0.0463568
Sony	0.0463021
Pulitzer	0.0460691
"South Park"	0.0459722
"Austin Powers"	0.0459525
"movie star"	0.0459161
television	0.0458801
"Old Navy"	0.0458126
farce	0.045794
novel	0.0456834
"Deep Impact"	0.0456792
HBO	0.0456388
celebrity	0.0456275
spectacle	0.0455602
soundtrack	0.0450854
spectacles	0.0450494
Cisco	0.0449144
Carrefour	0.0448907
"James Bond"	0.0448462
Coca-Cola	0.0448438
"computer store"	0.0448274
universal	0.0447254
"Truman Show"	0.0446835
SFX	0.04462
studio	0.0445514
Costco	0.0444711
encore	0.0444335
Miramax	0.044364
TCI	0.0443245
"American Beauty"	0.0442418
glitzy	0.0442237
"Stuart Little"	0.0442063
"Lion King"	0.0441711
Epogen	0.044023
superhero	0.0438912
"theme park"	0.0438905
"Independence Day"	0.0437729
suspense	0.0436681
episode	0.043666
Pfizer	0.0436363
"Warner Bros."	0.0435378
McKesson	0.043417
luminary	0.0433884
Seinfeld	0.0433876
babe	0.043362
oddball	0.0433111
theater	0.0433026
"comic book"	0.0432734
godfather	0.0431875
album	0.0431619
parody	0.0430679
Halloween	0.0430626
"Kung Fu"	0.0430576
fare	0.0430405
specialty	0.043033
RJR	0.0430271
bombshell	0.0430101
"P&AMP;G"	0.0429758
chain	0.0429149
CBs	0.0428807
storybook	0.0428593
WorldCom	0.042854
Nabisco	0.0428303
Revue	0.0428191
"Hollywood studio"	0.0427639
documentary	0.0427552
satire	0.0426932
Delphi	0.0426665
"Warner Brothers"	0.0426446
landmark	0.0426415
premiere	0.0426386
monster	0.0426179
stunt	0.0425962
DaimlerChrysler	0.0425792
vintage	0.0425274
showcase	0.0425171
"leading man"	0.0425037
))
(blocker (desc 16360.4) (sims
inhibitor	0.139611
passer	0.114018
AZT	0.109374
rushers	0.102129
rebounder	0.101862
interferon	0.0995206
tackler	0.0965395
rebounders	0.0950242
rusher	0.0915443
returner	0.0895681
receiver	0.0880448
diuretic	0.0857165
"tight end"	0.0822342
Endostatin	0.07699
fullback	0.0769569
antibiotic	0.0764954
aspirin	0.0757256
"role player"	0.0746979
defender	0.0745111
tamoxifen	0.074033
medication	0.072568
"running back"	0.0719567
antihistamine	0.0714365
shooter	0.071185
pill	0.0710188
tranquilizer	0.0709124
punter	0.0708268
linemen	0.070805
carotene	0.0690382
cornerbacks	0.0688305
laxative	0.0679733
estrogen	0.0674888
"pass catcher"	0.0673494
therapy	0.0673109
runner	0.0667331
lineman	0.0667296
fielder	0.0659128
linebacker	0.0655769
scorer	0.0652883
thalidomide	0.0652739
Ritalin	0.0644565
hormone	0.0643957
painkiller	0.0643835
ENBREL	0.064299
Celebrex	0.0641211
"running game"	0.0638962
ibuprofen	0.0636024
goal-scorer	0.0634723
quarterback	0.0634366
playmakers	0.0628662
hitter	0.062625
tailback	0.0621643
tacklers	0.0620268
EPO	0.0617579
Prozac	0.0615048
receptor	0.0612928
communicator	0.0606471
Herceptin	0.0606356
playmaker	0.060402
closers	0.060051
supplement	0.0600488
tackle	0.0596702
placebo	0.0594791
cornerback	0.0594685
Erythropoietin	0.0593361
puncher	0.0593179
viagra	0.0592546
Kicker	0.0590422
Rezulin	0.0588476
LIPITOR	0.0588351
antioxidant	0.0587109
"battering ram"	0.0585138
Avonex	0.0581198
opiate	0.0578193
antagonist	0.0576114
anti-inflammatory	0.057114
Relenza	0.0564943
sinker	0.0562229
goaltenders	0.0561181
angiostatin	0.0557065
debater	0.0557013
Vaccine	0.055681
"sounding board"	0.0555617
chemotherapy	0.055553
methadone	0.0551146
leptin	0.0549801
returners	0.0547235
nevirapine	0.0537601
defenseman	0.0536421
"vitamin E"	0.053484
contraceptive	0.0534592
melatonin	0.0533952
putter	0.053234
motivator	0.0524242
secondary	0.0519479
backup	0.0518774
Propulsid	0.0514499
stopper	0.0511062
Prilosec	0.0507615
reliever	0.0506855
"basketball player"	0.0505699
Phentermine	0.0504574
goalie	0.0503665
thrower	0.0503448
mifepristone	0.050196
medicine	0.0500442
steroid	0.0500396
morphine	0.0499691
go-between	0.0498173
sedative	0.0496752
Xenical	0.0496409
Zoloft	0.0494518
stimulant	0.049403
"football player"	0.0491067
tactician	0.0491032
anesthetic	0.0490857
downfield	0.0489482
insulator	0.048608
"human growth hormone"	0.0485036
evaluator	0.0482457
defensemen	0.0482401
"growth hormone"	0.0480763
defensive	0.0479383
protector	0.0476066
dose	0.0474771
"ball club"	0.0474275
insulin	0.0473623
starter	0.0471531
"passing game"	0.0466905
RU-@@@	0.0466827
"public speaker"	0.0463073
antibody	0.0460382
vitamin	0.0458353
wideouts	0.0458047
regimen	0.0455656
nitrate	0.0455417
Tylenol	0.0451858
Fen-Phen	0.0449403
ballplayer	0.044899
penicillin	0.0447089
cog	0.0446748
enforcer	0.0443557
goalkeeper	0.0440829
"sleeping pill"	0.044057
"role model"	0.0440533
DH	0.0439002
Epogen	0.0438705
"tough guy"	0.0437853
quickness	0.0437839
hypnosis	0.0437173
amphetamine	0.0436523
talker	0.0434086
Botox	0.0432825
performer	0.0429586
co-captain	0.0428548
vocalist	0.0427826
psychotherapy	0.0427503
ketamine	0.0427336
"coaching job"	0.0427214
"vitamin C"	0.0426473
stents	0.0426077
timeout	0.0425133
"round of golf"	0.0424936
pitching	0.0423686
replacement	0.0422418
troubleshooter	0.0422062
swimmer	0.042047
Litigator	0.041885
andro	0.0418611
"game plan"	0.0418343
amplifier	0.04141
midfielders	0.0412549
glove	0.0412316
"hockey player"	0.0412119
skater	0.0410947
outfielder	0.0410623
foil	0.0410436
understudy	0.0410131
flutist	0.0410041
orator	0.0409268
Claritin	0.0408501
cocktail	0.0406997
first-rounder	0.0406691
GHB	0.0405815
"ground stroke"	0.040465
angioplasty	0.0403612
TPA	0.0401438
thinner	0.0400744
"volleyball player"	0.0400419
QB	0.0400036
))
(blocking (desc 3405.96) (sims
damming	0.149647
dredging	0.0970295
harnessing	0.0945999
blockage	0.0897897
"more than @,@@@ kilometers"	0.0825092
locking	0.0756001
usurpation	0.0747863
reconfiguration	0.0733514
reopening	0.0711268
blockade	0.0690712
felling	0.0686553
re-opening	0.066901
confiscation	0.0659795
siltation	0.0650616
headwaters	0.0605313
confluence	0.0604059
"bond offering"	0.0601994
termination	0.0597431
withholding	0.0580053
expropriation	0.056828
annexation	0.0561656
monitoring	0.0556854
tributary	0.0555655
finalization	0.0552761
shifting	0.0552484
curtailment	0.0542246
terminus	0.0540873
upgrading	0.0538646
test-firing	0.052959
taking	0.0529443
narrowness	0.0528747
"more than @@@ kilometers"	0.05231
breaching	0.0521222
cloning	0.0515958
iteration	0.051332
"video recording"	0.0509737
vandalization	0.0508603
pillaging	0.0505609
divestment	0.0503701
linking	0.0496086
sending	0.0495478
revamping	0.0494834
"water level"	0.0485349
beautification	0.0480824
non-cooperation	0.048051
suppression	0.047473
stoppage	0.0474114
looting	0.0468593
carrying	0.0466395
"main course"	0.0466224
drying	0.0463216
sequencing	0.0462097
routing	0.0461227
torching	0.0460585
convening	0.046045
imposition	0.0459262
rollout	0.0458628
sq.km	0.0457813
laying	0.0454231
cutoff	0.0452292
revaluation	0.0450227
targeting	0.0449474
abolition	0.0444198
"police action"	0.0443857
placing	0.0440392
rollovers	0.0439945
convocation	0.0437241
filibuster	0.0436518
obstruction	0.0436313
harvesting	0.0435879
"natural process"	0.0433064
relocation	0.0430078
commissioning	0.0428331
airdrop	0.0427075
hosting	0.0425623
dismantling	0.0423377
remodeling	0.0423349
bashing	0.0418465
"one section"	0.0417482
circumnavigation	0.0416019
granting	0.041495
noncompliance	0.0412304
naming	0.0410927
"soil erosion"	0.0408728
freezing	0.0405746
demolition	0.0405013
"three sections"	0.0402823
))
(Bloemfontein (desc 1425.8) (sims
"Port Elizabeth"	0.143491
Durban	0.130527
Midrand	0.118831
Glasgow	0.102622
Haicheng	0.101532
Eindhoven	0.0996622
Essen	0.099656
Ljubljana	0.0910223
Pretoria	0.0873308
Sharjah	0.0863689
"Cape Town"	0.0859704
Lucerne	0.0846162
Graz	0.084088
BRIGHTON	0.0828974
Plattsburgh	0.082737
"Joannette Kruger"	0.0821727
Duesseldorf	0.0821277
Ghent	0.0821036
Jager	0.0819558
Fukuoka	0.081429
Karlsruhe	0.0813548
"Neville Godwin"	0.0810319
Linz	0.0801968
Naperville	0.0799029
Dusseldorf	0.0792834
"Grant Stafford"	0.0788883
Surabaya	0.0787288
Guadalajara	0.0784041
Osaka	0.0779066
Londonderry	0.0779027
Larnaca	0.0778811
Almaty	0.0777658
Burlingame	0.0774598
Kano	0.0771358
Soweto	0.0769927
"October, @@@@"	0.0757937
"Surat Thani"	0.075376
Innsbruck	0.0750482
Charleroi	0.0740517
Lille	0.0739804
"CHIANG MAI"	0.0735413
PALERMO	0.0732931
Ismailia	0.0732885
Aden	0.0732545
Nagoya	0.0722461
"San Pedro Sula"	0.0722213
Ndola	0.0717526
"Subic Bay"	0.071434
Cardiff	0.0709241
BRATISLAVA	0.0708269
"Quebec City"	0.0707821
Windhoek	0.0706949
Brisbane	0.0705423
"Quezon City"	0.0704935
Hobart	0.0702041
Basle	0.0701481
Filderstadt	0.0697305
Entebbe	0.0687909
BASEL	0.068768
Hanover	0.0682271
Copenhagen	0.0680573
Lyon	0.0680176
Winston-Salem	0.0678771
Reston	0.0677204
Basra	0.0675692
Haifa	0.0670389
Mannheim	0.0669079
"St Petersburg"	0.0667095
Jalalabad	0.0663696
"Marcos Ondruska"	0.0663042
Tarrytown	0.0662934
Groton	0.0661283
Stuttgart	0.0657521
Saginaw	0.0655008
Hamburg	0.0653591
Madras	0.0650727
"August, @@@@"	0.0641864
"Fort Collins"	0.06409
Chattanooga	0.0636267
Charlottesville	0.0635672
Pattaya	0.0633797
"Okinawa Prefecture"	0.0633026
Morristown	0.062995
Leipzig	0.0629456
"Manhattan Beach"	0.062701
Perth	0.0624016
Carlsbad	0.0623492
Oro	0.0623067
"Banja Luka"	0.0621039
Trincomalee	0.0620654
"line of duty"	0.0618489
Yogyakarta	0.0615867
Gdansk	0.0615412
Hyderabad	0.0613208
Toulon	0.0609139
"Thousand Oaks"	0.060585
Mbarara	0.0604584
Nottingham	0.0604498
Swardt	0.0603908
"Victoria Park"	0.0603253
Kenema	0.0597523
"Guatemala City"	0.0596584
Bangalore	0.0596537
Catania	0.0592811
Rawalpindi	0.0592596
"San Juan"	0.0591213
"Palm Springs"	0.0590708
Vladikavkaz	0.0590319
Gulu	0.0589829
"White Plains"	0.0586807
Dushanbe	0.058676
Dunedin	0.0582926
Albuquerque	0.0582714
Dulles	0.0582677
Tunceli	0.0579245
Vukovar	0.0579096
"Port Angeles"	0.0578819
Davao	0.0575998
Toluca	0.0574569
Tallinn	0.057362
"Ho Chi Minh City"	0.0572819
Kingston	0.0572569
Merida	0.057253
Granada	0.0571614
Ensenada	0.0568895
"Victoria Falls"	0.0568698
"Greek capital"	0.0566943
Binghamton	0.0566336
Harrisburg	0.0565908
Foxboro	0.0565254
Rabat	0.0564894
Lubbock	0.0562889
Florence	0.0561408
"New Haven"	0.056128
"Washington D.C."	0.0560684
Strasbourg	0.0558837
Burlington	0.0558579
Sevastopol	0.0558271
Beersheba	0.0556623
Lynchburg	0.0555275
"Burkina Faso"	0.0555218
Kissimmee	0.055421
"Colorado Springs"	0.0553816
Malaga	0.055371
Kigali	0.0553548
Evanston	0.055294
Shiraz	0.0552879
Plata	0.0552339
"Indian Wells"	0.0551565
Murmansk	0.0551523
Reykjavik	0.0550343
Kandy	0.0550301
"Sun City"	0.0549406
TUNIS	0.0548964
Klagenfurt	0.0548842
Riga	0.0548669
Auckland	0.0547424
Sidon	0.054601
"Key West"	0.0545492
Utica	0.0542882
Doha	0.0541561
"Montego Bay"	0.0541246
Vavuniya	0.0540344
Pensacola	0.0540087
Lucknow	0.0538163
Eastbourne	0.0538084
Bari	0.0537594
"Fort Worth-Dallas"	0.0536558
MANAMA	0.0533138
Ipoh	0.0530631
Penang	0.0530294
Baidoa	0.0530024
"Cedar Rapids"	0.0528764
Najaf	0.0528206
Blackpool	0.0527002
Prizren	0.052699
"boxing ring"	0.0526798
"September, @@@@"	0.0526314
Genoa	0.0525672
Tarzana	0.0524259
Williamsport	0.0523338
LAKEWOOD	0.052192
Podgorica	0.0521051
Utrecht	0.052002
Tashkent	0.0519801
Incirlik	0.0519793
Luxor	0.0519691
Chatsworth	0.0518569
Hattiesburg	0.051515
"June, @@@@"	0.0514404
Jaipur	0.0513876
Huambo	0.0513493
Phuket	0.0513261
Alexandria	0.051255
Mbabane	0.0511994
Prijedor	0.0509036
"Coral Gables"	0.0507992
bethel	0.05059
Missoula	0.0505593
Liege	0.0504999
))
(bloke (desc 2238.55) (sims
lad	0.117949
fella	0.115775
battler	0.100199
slob	0.0991567
dude	0.0984268
gal	0.0958712
Londoner	0.0940368
chap	0.0933911
lass	0.0917676
Irishman	0.0911258
Englishmen	0.0825418
twit	0.0822457
"San Franciscans"	0.0802868
doer	0.0802026
Striver	0.0798687
schemer	0.0776576
"prima donna"	0.0763122
Irishmen	0.0759743
overachiever	0.0756833
rascal	0.0752598
wimp	0.0736788
brogue	0.0735709
Luddite	0.0731625
"character actor"	0.0729301
whiner	0.0728128
hoodlum	0.0723802
"farm boy"	0.072365
"guardian angel"	0.0720465
waif	0.0716536
"young person"	0.0705276
stuntman	0.0702682
GENT	0.0702371
bumpkin	0.0700488
"Sephardic Jews"	0.0697493
snob	0.0697445
panhandler	0.0690186
"big leaguer"	0.0674599
bum	0.067249
"hockey player"	0.0668193
lout	0.0667657
superhero	0.0666036
Kurd	0.06655
"white knight"	0.06627
joker	0.0659416
rogue	0.0658665
"second person"	0.065766
"secret agent"	0.0653356
slacker	0.0653108
"old lady"	0.0650607
Englishman	0.064804
Scotsman	0.0647523
wage-earner	0.0635697
"black cat"	0.06348
pooch	0.0628501
brute	0.0627583
"wise guy"	0.0625836
magician	0.0624372
bruiser	0.0622606
"role player"	0.0622553
Frenchmen	0.0621456
Brit	0.0620612
"little boy"	0.0620378
"letter writer"	0.0619974
mutt	0.0617543
queer	0.0614943
Everyman	0.0613799
knucklehead	0.0610885
tenths	0.0610541
drifter	0.0604682
crybaby	0.0604502
lifer	0.0604127
whore	0.0603176
Midwesterner	0.0603131
first-rounder	0.0599446
patrolmen	0.0598013
"robbery suspect"	0.0597543
hillbilly	0.0594346
"old boy"	0.0591057
theatergoer	0.058985
hotspots	0.0585967
critter	0.0583285
moron	0.0583122
ballplayer	0.058185
curmudgeon	0.0578823
schoolboy	0.0578237
antihero	0.0577361
bastard	0.0576187
misfit	0.0575314
banger	0.0575258
"black person"	0.0573824
"bon vivant"	0.0573753
warhorse	0.0572264
"heavy hitter"	0.056808
"good person"	0.0566855
"sea captain"	0.0566776
gentleman	0.0562861
"hard worker"	0.0560611
duffer	0.0559962
speller	0.0556858
bloomer	0.0556246
hyper	0.0556217
hippie	0.0555035
lowlife	0.0554196
"traveling salesman"	0.0553557
backpacker	0.0552874
newspaperman	0.0551725
Englishwoman	0.0550636
malcontent	0.0550305
maniac	0.0550182
pup	0.0549578
jock	0.0548602
"world traveler"	0.0544278
"chess player"	0.0543983
handicapper	0.0543335
acrobat	0.0543245
underling	0.0542504
selector	0.0541922
"risk taker"	0.0539741
do-gooder	0.0539129
"tough guy"	0.0539093
ex-Marine	0.0537975
weatherman	0.053786
thug	0.0536851
exec	0.0536117
conscript	0.0535933
"waiting game"	0.0535623
weirdo	0.0535537
redneck	0.0534322
Washingtonian	0.0532309
idealist	0.0531826
idyll	0.0531786
individualist	0.0531349
vet	0.0531247
"ground cover"	0.0530302
Tennessean	0.0530285
"rich man"	0.0529846
raconteur	0.0529114
"house painter"	0.0528984
idiot	0.0528355
ballgames	0.0527256
"New Englander"	0.0526186
"NBA All-Star"	0.0524563
housewife	0.0523962
churchgoer	0.052223
"folk singer"	0.0522002
"family doctor"	0.052194
"house party"	0.052132
"bag of tricks"	0.0520744
"white person"	0.0519834
puppy	0.0519714
"naval officer"	0.0519646
QBs	0.0519022
brawler	0.0518841
"hockey coach"	0.0518268
learner	0.0517176
choirboy	0.0516903
"young lady"	0.0515239
nobleman	0.0514492
"hotel manager"	0.0513929
hypotheses	0.0513745
Parisian	0.0512981
underachiever	0.0512056
"Little Dog"	0.0511491
"ball club"	0.0511299
bellhop	0.0510379
southpaw	0.0509398
freebies	0.0508396
animator	0.05083
burg	0.0508114
dilettante	0.0507862
freeloader	0.0506737
lawman	0.0506554
cockroach	0.0505388
Ribbeck	0.0505153
"two pitchers"	0.05044
typist	0.0502628
oddball	0.050199
minor-leaguers	0.0501952
"beer drinker"	0.0501948
deejays	0.0501152
zinger	0.0500672
motoring	0.0500571
communicator	0.0498958
crazies	0.0498784
"free spirit"	0.049776
out-of-towners	0.0496873
goon	0.0496462
"family man"	0.0494637
opportunist	0.0494349
"altar boy"	0.0494138
swinger	0.0494043
partygoer	0.0493982
paralegal	0.0493777
wretch	0.0492828
"foreign service officer"	0.0492258
"child molester"	0.0491543
puppeteer	0.0491195
Klemperer	0.0491072
boob	0.0491013
EX-COMMUNISTS	0.0490143
))
(blond (desc 6800.07) (sims
blonde	0.18787
purple	0.0981123
beige	0.0887344
redhead	0.0873697
hair	0.0787877
Pink	0.0768103
tan	0.0720483
coral	0.0700913
goatee	0.0676916
supermodel	0.0663933
brunette	0.0661844
"Little Dog"	0.066023
moustache	0.0617735
transsexual	0.0593678
khaki	0.0582282
complexion	0.0573865
Afro	0.0564507
Beard	0.0563782
turquoise	0.0551878
dimple	0.0539376
grey	0.052665
physique	0.0520648
hairdo	0.0517138
mane	0.051528
stylist	0.0504567
"skin color"	0.0496159
"business suit"	0.0488518
brute	0.0485622
"young lady"	0.0485033
mauve	0.0483618
blouse	0.0477488
hue	0.0470213
chartreuse	0.0465863
"nail polish"	0.0465189
Caucasian	0.0463248
lavender	0.0457654
wig	0.0457455
freckle	0.0456196
Mashburn	0.0448835
earring	0.044474
Rolex	0.0443728
Anglos	0.0443107
miniskirt	0.0441178
feistiness	0.0435733
barrette	0.0429457
mustache	0.0427704
Dynamo	0.042766
Khorkina	0.0426055
eyeliner	0.0425457
"pubic hair"	0.0423822
Burgundy	0.0421495
"little boy"	0.0421282
fur	0.0417871
Scot	0.0417116
violet	0.041384
braid	0.0411054
lefthander	0.0409008
"good looks"	0.0406559
trellis	0.0406025
Irishman	0.0404888
"little leaguer"	0.0402982
lipstick	0.0401175
))
(blonde (desc 14443.9) (sims
blond	0.18787
brunette	0.163267
redhead	0.149959
"young woman"	0.088861
starlet	0.0873909
"young lady"	0.0846482
divorcee	0.082869
"little girl"	0.0800465
"young man"	0.0764023
girl	0.0763159
"movie star"	0.0671899
gal	0.0665992
supermodel	0.0660599
housewife	0.0646162
"black woman"	0.0639429
maiden	0.0635132
dude	0.0634098
actress	0.0631144
dancer	0.0623654
"young actress"	0.0612867
waitress	0.0608467
gentleman	0.0588841
lass	0.0582113
lady	0.0575071
"young girl"	0.0574912
babe	0.0573065
Princess	0.057227
bridesmaid	0.0566126
"good looks"	0.0564491
"leading lady"	0.0557601
"black man"	0.0555336
showgirl	0.0554889
ballerina	0.0551382
beauty	0.0551269
ingenue	0.0546287
Englishwoman	0.0544569
homemaker	0.0542515
"old woman"	0.0538836
teenager	0.0536251
nerd	0.0534217
beautician	0.0530693
bimbo	0.0527684
bastard	0.0521992
"old man"	0.0519372
"little boy"	0.0502775
cellist	0.0500843
sweetheart	0.0497131
temptress	0.0491559
cheerleader	0.0489256
"white man"	0.0488659
Englishman	0.0488431
bunny	0.0487703
stewardess	0.0483559
has-been	0.0478935
clown	0.0475021
Virgin	0.047451
heroine	0.0474063
hair	0.0473149
poodle	0.0471661
"old lady"	0.0468351
fella	0.0467158
bartender	0.0463478
waiter	0.0461654
"good person"	0.0459201
"femme fatale"	0.045742
diva	0.0456746
teen-ager	0.0452076
gown	0.0450239
singer	0.044986
CAT	0.0446215
hostess	0.04434
hunk	0.0443331
mom	0.0442312
Hooker	0.0439816
transvestite	0.0439203
socialite	0.0437916
purple	0.0436357
stripper	0.0435698
schoolteacher	0.0435281
Floridian	0.0435093
waif	0.0434525
tomboy	0.0434009
stylist	0.0432929
"hard worker"	0.0431711
violinist	0.0429368
"white woman"	0.0427661
eccentric	0.04269
"evening dress"	0.042672
Irishman	0.0426711
coral	0.0425716
mermaid	0.0425566
transsexual	0.0425222
Scot	0.0423982
bride	0.0423835
bloke	0.042358
"married woman"	0.0420987
comedian	0.0420716
puppy	0.0420108
"wise guy"	0.0419635
villain	0.0418544
chap	0.0416976
walk-on	0.0415051
lefthander	0.041388
Goddess	0.0410974
outcast	0.0408837
schoolgirl	0.0408212
punk	0.040793
prostitute	0.0406869
musician	0.0405376
"blind man"	0.0405043
screenwriter	0.0404812
underachiever	0.040452
freshman	0.040378
nude	0.0402539
Marie	0.0401122
))
(Blondie (desc 2457.22) (sims
R.E.M	0.113303
Springsteen	0.100536
U@	0.0984304
"N Sync"	0.0948238
Tintin	0.0876026
Aerosmith	0.0855395
Mellencamp	0.0806414
"Barenaked Ladies"	0.0798591
"Grateful Dead"	0.0785025
"Limp Bizkit"	0.0779999
Puente	0.0772133
"Brian Wilson"	0.077
Dilbert	0.0741759
MANA	0.0738248
Supremes	0.0706988
"Papa John"	0.0706217
Beatles	0.0706166
"Pearl Jam"	0.0703254
Metallica	0.0682411
Menudo	0.0673352
Dion	0.0671828
Korn	0.0667711
Coltrane	0.0666665
Phish	0.0664544
"Los Lobos"	0.0649729
Fugees	0.0641244
Santana	0.063743
Hatfield	0.0635866
Ellington	0.0620656
D'Angelo	0.0606687
"Bob Dylan"	0.0606136
Raitt	0.0604934
"Dixie Chicks"	0.0597427
Bragg	0.0586088
"Public Enemy"	0.0585934
"Paul Simon"	0.0585634
Yoakam	0.0578651
Bjork	0.0577549
Profiler	0.0574564
"Bob Marley"	0.05669
Sinatra	0.0564946
Hanson	0.056349
Anglo-Saxon	0.0563482
"Joni Mitchell"	0.0561834
Popeye	0.0551911
Ogilvy	0.0544297
"Elton John"	0.0543423
"Rolling Stones"	0.0537074
"Ray Charles"	0.0533433
"Jack Kerouac"	0.0526496
Bocelli	0.0523412
singer-songwriter	0.0516366
"Bruce Springsteen"	0.051204
Presley	0.0511541
Boulez	0.0509043
late-'@@s	0.0508451
Krall	0.0507851
"Blair Witch"	0.0506841
"Jimi Hendrix"	0.0506805
Messina	0.0503265
Otello	0.0502251
"Janis Joplin"	0.0502129
"Peking Opera"	0.0501958
"Dick Tracy"	0.0500714
Upshaw	0.0500522
Reinhardt	0.0500509
nirvana	0.0500206
"CHARLES SCHULZ"	0.0498036
"Wes Craven"	0.0497486
Spence	0.0496592
Monkees	0.0496401
Moby	0.049519
ADF	0.0495034
TLC	0.0494298
Iglesias	0.0492577
tumbleweed	0.049236
Beck	0.0489708
Abner	0.0489656
Vaughan	0.0488671
"blue angel"	0.0486524
Lennon	0.0486488
"battle line"	0.0485755
Ozawa	0.0481621
quintet	0.048105
WNBF	0.0479444
Eameses	0.0476255
"American Football League"	0.04736
blowfish	0.0473424
"Frank Sinatra"	0.0466377
"rock band"	0.0466173
Newman	0.0466094
"Garth Brooks"	0.0465514
drake	0.0463947
Lindy	0.0463719
Mensa	0.04636
"Johnny Cash"	0.0461839
Bauhaus	0.0461776
Hartman	0.0461185
DLC	0.0460221
drivel	0.0458603
"Backstreet Boys"	0.045844
MALICK	0.0458378
"Ricky Martin"	0.0457198
Paulie	0.0456351
Wiatt	0.0455988
"Jimmy Stewart"	0.045491
Earle	0.0454484
"Whitney Houston"	0.0454264
Manson	0.0454063
Dylan	0.0451845
"Peony Pavilion"	0.0451383
"Boston Garden"	0.0451014
"Bela Karolyi"	0.045098
Cher	0.0450335
"Herbie Hancock"	0.0449777
Bech	0.0448717
Hebert	0.0448526
"Spice Girls"	0.0448094
Cline	0.044806
"E Street Band"	0.0447885
warhorse	0.0447098
quartet	0.044703
"Miles Davis"	0.0441822
Setzer	0.0440625
"rock group"	0.044045
Godzilla	0.0439829
"Andy Warhol"	0.0439603
EPR	0.043927
"Howdy Doody"	0.0438901
"Congressional Black Caucus"	0.0438829
"Steely Dan"	0.0438516
"Philadelphia Orchestra"	0.0438488
Atler	0.0437116
"Eric Clapton"	0.0436456
morphine	0.0435566
Selena	0.0435408
"Black Sabbath"	0.0434505
Tverdovsky	0.0431814
"Stevie Wonder"	0.0429625
"Sheryl Crow"	0.0427556
Guthrie	0.0427045
"folk song"	0.0426824
Legos	0.0426644
Bridget	0.0425993
Bernstein	0.0425145
"Duke Ellington"	0.0423767
"Britney Spears"	0.0423697
Archie	0.042342
sorority	0.0422847
holly	0.0422728
"Sex Pistols"	0.0421906
"second unit"	0.0420005
"repertory company"	0.0419822
"Spinal Tap"	0.0419586
Spielberg	0.0418784
"Bing Crosby"	0.041765
"Gene Autry"	0.0417525
Hitchcock	0.0417062
Chattahoochee	0.0416977
Terminator	0.041582
"Southwest Conference"	0.0415731
"Austin Powers"	0.0415375
Tomahawk	0.0413784
"Tower Records"	0.0413344
Kerouac	0.0411791
"Jackie Chan"	0.0411502
Buffett	0.0408729
"Jim Morrison"	0.0408338
"Tim Floyd"	0.0408193
"Joan Baez"	0.0407894
Joplin	0.0407861
Tarzan	0.040636
grunge	0.0406196
"City Ballet"	0.0406118
kibbutz	0.0405593
"Dolly Parton"	0.0405273
Lennox	0.0404837
"Big Blue"	0.0404536
LaChiusa	0.0403667
"Charlie Brown"	0.0403257
"David Cassidy"	0.0403117
"Peter Pan"	0.0401956
))
(blood (desc 120050) (sims
urine	0.148014
tissue	0.132879
fluid	0.129611
water	0.12567
saliva	0.12457
bloodstream	0.123139
sweat	0.116495
semen	0.111147
skin	0.109022
milk	0.105316
oxygen	0.10487
DNA	0.101657
feces	0.101076
paint	0.100209
sample	0.100117
"bone marrow"	0.097352
brain	0.0970793
liver	0.0965507
cell	0.0959751
bone	0.0947026
Liquid	0.0944374
mud	0.0931135
hair	0.0911755
"blood transfusion"	0.0911042
food	0.0898503
body	0.0883744
ink	0.0882975
dust	0.0867848
lung	0.086709
juice	0.0864325
tear	0.0863886
oil	0.0842812
organ	0.0836014
meat	0.0829063
gas	0.0812218
substance	0.0810689
chemical	0.0807276
fuel	0.0806621
kidney	0.0805409
drug	0.0794207
smoke	0.0793358
moisture	0.0781886
material	0.078089
Vaccine	0.0772399
protein	0.0770472
fat	0.0769302
heart	0.0766869
bacteria	0.0763018
"blood vessel"	0.076209
dirt	0.0759704
egg	0.0759526
stain	0.0759217
air	0.075913
tumor	0.0757184
gasoline	0.0754338
soil	0.0754293
alcohol	0.0753193
poison	0.0744428
virus	0.0736121
money	0.0734369
muscle	0.0728768
marrow	0.0727823
energy	0.0721793
groundwater	0.0716271
intestine	0.0714641
pain	0.0708484
"drinking water"	0.0704388
sperm	0.0697457
Gene	0.0695949
cloth	0.0694104
flesh	0.0684802
Embryo	0.0683572
manure	0.0679068
wound	0.0677883
debris	0.0675947
sex	0.067458
emotion	0.0672397
animal	0.0670076
lava	0.066741
medicine	0.0663733
life	0.0662491
grease	0.065761
sand	0.065447
needle	0.0652582
supply	0.0649419
hormone	0.064899
nutrient	0.0646667
Sewage	0.0643595
cash	0.0634503
metal	0.0634381
waste	0.0633002
rainwater	0.0632376
Beer	0.0630774
limb	0.0625573
soot	0.062474
wine	0.062387
"tap water"	0.0622033
HIV	0.0621624
fiber	0.0619174
product	0.0616855
vein	0.0614629
gun	0.0614607
bruise	0.0612695
mosquito	0.0609994
fish	0.0609464
eye	0.0609179
Garbage	0.0606813
color	0.060652
stuff	0.0605858
patient	0.0605326
fingerprint	0.0603697
teeth	0.0601434
salt	0.0596779
toxin	0.0595978
talent	0.0595645
adrenaline	0.059446
"body part"	0.0594401
carcass	0.0593499
nerve	0.0593035
skull	0.0590362
venom	0.0589392
ICE	0.0588699
insulin	0.0588165
memory	0.058685
champagne	0.0585896
hand	0.0583448
remains	0.0580607
light	0.0580135
gut	0.0578881
sediment	0.0578574
grain	0.0578569
breath	0.0577551
antibiotic	0.0571669
infection	0.057114
soul	0.0569437
Clothing	0.0569341
equipment	0.0565456
antibody	0.056444
coffee	0.0562855
disease	0.0562847
plastic	0.056191
silt	0.0561725
fruit	0.0558223
fur	0.0557562
medication	0.0557256
weapon	0.0555804
"blood test"	0.0555676
voice	0.0554994
stream	0.055413
uranium	0.0553936
breast	0.0553588
residue	0.0553381
acid	0.055257
artery	0.0550353
particle	0.0547891
stomach	0.05464
flower	0.0546292
testosterone	0.0545345
glass	0.0544701
cloud	0.0544167
transplant	0.054399
arm	0.0542204
image	0.0541836
bottle	0.0540593
data	0.0539605
word	0.0538696
pesticide	0.0538422
ear	0.053767
cocaine	0.0537377
drink	0.0536761
human	0.0535277
"AIDS virus"	0.0534832
sunlight	0.0532955
bullet	0.0532519
cartilage	0.0532388
Death	0.0532302
system	0.053147
plutonium	0.0529801
spirit	0.0529773
specimen	0.0528858
information	0.0528301
sugar	0.0526034
leaf	0.0525872
test	0.0525631
radiation	0.0525317
snow	0.0523244
beef	0.0522041
mice	0.0521672
atmosphere	0.0521321
marijuana	0.0520152
red	0.0519558
fragment	0.0518511
bite	0.0516669
rain	0.0516245
goods	0.0515499
electricity	0.0515014
aid	0.0514818
mixture	0.0513301
resource	0.0512949
explosive	0.051209
))
("blood bank" (desc 4561.57) (sims
dispensary	0.0899981
"medical institution"	0.0893824
"bus company"	0.0828205
"service station"	0.0781908
Pharmacy	0.0767142
"water company"	0.0765099
clinic	0.0762116
incinerator	0.0751423
"medical center"	0.0746631
"research center"	0.0733141
"local department"	0.070496
"power company"	0.0702367
"medical school"	0.0694261
"filling station"	0.0687707
"planning board"	0.0687662
mortuary	0.0684493
laboratory	0.0678527
"educational institution"	0.066777
"communication system"	0.0665873
"telephone system"	0.0663086
"nursing home"	0.066206
"Federal Emergency Management Agency"	0.0643187
"opera company"	0.0639309
morgue	0.0638179
"funeral home"	0.0635577
nursery	0.0634094
bakery	0.0633809
"gasoline station"	0.0631844
"communications network"	0.0629237
"health service"	0.0628811
"petrol station"	0.0623455
"Health Department"	0.0615119
abattoir	0.0612018
"planning commission"	0.0608991
"highway system"	0.0607431
refiner	0.0604238
"weather station"	0.0603886
"health maintenance organization"	0.0601109
"Department of Public Health"	0.0596028
"power plant"	0.0593017
"defense system"	0.0592378
"power grid"	0.0590432
EPZ	0.058916
"transportation system"	0.0587478
SEZs	0.0586805
"Olympic Committee"	0.0585854
charity	0.0585826
kennel	0.0580949
"control center"	0.0579436
"telephone exchange"	0.0577571
"communication network"	0.0577221
"telephone network"	0.0573694
"Kosovo Verification Mission"	0.0572906
forklift	0.0571527
"law practice"	0.0567945
"phone company"	0.0567432
"credit bureau"	0.0566756
clinician	0.0564171
"place of worship"	0.0564113
"TV station"	0.0562741
"Medicare HMOs"	0.0558867
"television station"	0.0558852
"repair shop"	0.0555348
"police department"	0.0554396
"post office"	0.05543
"day care center"	0.0553016
"spy satellite"	0.0550173
"development center"	0.0546593
insurer	0.0546412
waterworks	0.0545772
"postal service"	0.05449
"radio station"	0.0544056
"psychiatric hospital"	0.0543178
taskforce	0.0542993
"polling place"	0.0541422
"health care provider"	0.0541297
ABS-CBN	0.0540804
"electric company"	0.0539365
railroad	0.0536666
orphanage	0.0535778
"collective farm"	0.0534145
"surveillance system"	0.0532905
"securities market"	0.0532829
"soup kitchen"	0.0530119
"data system"	0.0530092
"production facility"	0.052986
refinery	0.052856
"retail chain"	0.0527838
"medical practitioner"	0.0526486
clearinghouse	0.0523261
Caritas	0.0523218
daycare	0.0521935
UNRWA	0.0519972
"Boys Ranch"	0.0519656
"trade association"	0.0519566
"chain store"	0.0518484
"District Council"	0.0518356
canteen	0.0518186
"Atomic Energy Commission"	0.0517739
"telephone company"	0.0517373
"primary school"	0.0517155
"oil refinery"	0.0516458
"relay stations"	0.0515867
"Strategic Petroleum Reserve"	0.0515824
sub-branches	0.051505
"Catholic Charities"	0.0514764
"trucking company"	0.0514528
"religious school"	0.0514056
"Peace Corps"	0.0513999
"transportation company"	0.0513882
"training school"	0.0513517
"phone system"	0.0513267
"property owner"	0.0512748
centre	0.0511831
"Department of Corrections"	0.0511745
registry	0.0511483
Directorate	0.0511221
cinema	0.0509923
"medical practice"	0.0509776
"space program"	0.0509342
"computer network"	0.0509075
"steel mill"	0.0506885
"Department of Energy"	0.0506845
"Australian Olympic Committee"	0.0505926
"dry cleaner"	0.050509
"employment agency"	0.0504806
"National Highway Traffic Safety Administration"	0.0504466
"emergency room"	0.0504368
pharmacist	0.0504138
"language school"	0.0503634
"school district"	0.0503247
bureaus	0.0503129
"publishing company"	0.0500287
"Information Ministry"	0.050024
obstetrician	0.0498584
"personnel department"	0.0498135
USAID	0.0497187
"Health Ministry"	0.0496154
"secondary school"	0.0495103
smelter	0.0494347
"patent office"	0.0494183
"think tank"	0.049356
"commercial bank"	0.0493422
"banking industry"	0.0493169
campgrounds	0.0491642
"Department of Commerce"	0.0491423
hospice	0.049134
"gasoline pump"	0.0491255
"flour mill"	0.0490978
"equity fund"	0.0490952
"movie theater"	0.048929
"delivery service"	0.0489138
"day camp"	0.0489082
"Catholic school"	0.0488896
"United Way"	0.0486613
"travel agency"	0.0486053
pawnshop	0.0485794
CPA	0.0485513
"Israeli Foreign Ministry"	0.0485307
"military installation"	0.0484779
"German Embassy"	0.0483911
"art gallery"	0.0483175
"finance company"	0.0481688
"fiber optic cable"	0.0481356
"financial officer"	0.0480721
"endowment fund"	0.0480674
"Department of Transportation"	0.0480388
"point system"	0.0479535
"weather forecaster"	0.0479246
"weather satellite"	0.0479122
"credit union"	0.0478404
"National Security Council"	0.0478055
"school system"	0.047801
SDH	0.0476886
"pension fund"	0.0476716
"social service"	0.0476506
"cable operator"	0.0475763
FTAA	0.0475204
"broadcasting company"	0.0475163
"railway system"	0.0474184
"military unit"	0.047337
"African Economic Community"	0.0473151
"ethics committee"	0.0472729
"information system"	0.0472683
"drug maker"	0.0472681
spas	0.0472515
"private corporation"	0.0472044
"operating room"	0.0471959
"customs service"	0.0471755
"paper mill"	0.0470612
"reserve fund"	0.0470584
darkroom	0.0470513
"information service"	0.0470324
notary	0.046963
"trucking industry"	0.0469315
Massport	0.0469262
counterterrorism	0.0469152
CAAC	0.0466958
"Food and Drug Administration"	0.0466218
"Los Angeles City Council"	0.0465593
))
("blood cell" (desc 3624.14) (sims
"white blood cell"	0.236079
"red blood cell"	0.176662
"brain cell"	0.164728
T-cells	0.163039
"muscle cell"	0.155294
"T cell"	0.148383
"nerve cell"	0.139691
neuron	0.137986
cell	0.131763
platelet	0.124869
"cancer cell"	0.122939
antibody	0.12219
enzyme	0.117416
"bone marrow"	0.111015
tissue	0.109113
marrow	0.104661
mitochondria	0.103374
"chemical compound"	0.099748
"nervous system"	0.0956404
"blood vessel"	0.0910676
cornea	0.0900909
ovary	0.0897728
protein	0.0894198
follicle	0.0883414
"internal organ"	0.0875122
hemoglobin	0.087085
liver	0.0865267
organism	0.0858061
"skin cell"	0.0852195
pancreas	0.0838551
cartilage	0.0829908
kidney	0.0822268
Gene	0.0821026
"skin cancer"	0.0809951
hormone	0.0795911
molecule	0.0773023
telomerase	0.0750546
"lymph node"	0.0749624
"hair follicle"	0.0740673
sperm	0.0736016
"embryonic cell"	0.0734191
Embryo	0.072633
peptide	0.0717616
dopamine	0.0717283
collagen	0.0701462
"amino acid"	0.0678365
receptor	0.067449
isotope	0.067412
insulin	0.0671587
tritium	0.066756
"subatomic particle"	0.0665256
lung	0.0663809
bloodstream	0.0660518
microchip	0.0655033
interferon	0.0648579
chromosome	0.0645753
adrenalin	0.0640323
pollen	0.063878
tumor	0.0628484
prostate	0.0618589
plasma	0.061381
antioxidant	0.0602199
neurotransmitter	0.0598857
clotting	0.0589901
nerve	0.0589453
bacteria	0.0588254
condensation	0.0582079
thyroid	0.0578106
"memory chip"	0.057259
refrigerant	0.0569909
calory	0.0568212
antigen	0.0567507
"AIDS virus"	0.0566053
"catalytic converter"	0.0564282
pigment	0.0553923
pixel	0.0553447
esophagus	0.0549904
"growth hormone"	0.0545333
"heart valve"	0.0542444
fungus	0.0536367
"beam of light"	0.0534161
mucus	0.0528683
"free radical"	0.0524122
cholesterol	0.0523097
urine	0.0522633
retina	0.0522314
"central nervous system"	0.0522121
"circulatory system"	0.052063
acid	0.0520221
"brain wave"	0.051989
transplantation	0.0519855
testosterone	0.051667
"heart muscle"	0.0516488
"air bubble"	0.0515412
"electric current"	0.0513339
starch	0.0510734
angiostatin	0.0510715
mutation	0.0510185
glucose	0.0505172
microbe	0.0504002
mainlanders	0.0501649
"connective tissue"	0.0500098
painkiller	0.0499806
bacterium	0.0497454
carbohydrate	0.0497286
breast	0.0497099
particle	0.0496716
valve	0.0495377
adhesive	0.0494234
nipple	0.0492585
saliva	0.049084
contaminant	0.0490002
germ	0.048803
inhaler	0.0486219
Tooth	0.0485203
discoloration	0.0482024
clot	0.0481573
eyelash	0.0481055
"sound wave"	0.0478723
nucleus	0.0478652
nutrient	0.047732
"rocket engine"	0.0476907
"blood pressure"	0.0476509
"chemical agent"	0.0476319
fiber	0.0475345
Balkanization	0.0474257
estrogen	0.0474251
penicillin	0.0473184
resin	0.0469888
imp	0.0469527
ovulation	0.0469406
biogas	0.0469239
carbon	0.0467519
offspring	0.0467286
lesion	0.046723
"blood sugar"	0.0466889
cyst	0.0465555
Sarin	0.0465054
fetus	0.046467
pathogen	0.0463932
"sonic boom"	0.046009
tubing	0.0459664
calorie	0.0458198
"prostate gland"	0.0457664
goo	0.0455485
delinquency	0.0455321
"consumer durables"	0.0454858
"solar cell"	0.0454593
foal	0.0453958
polymer	0.045386
toxin	0.0452734
semen	0.0450928
"pressure group"	0.0449701
LDL	0.044854
derriere	0.0448381
ozone	0.0448009
"biological clock"	0.044715
metabolism	0.0446665
"food grain"	0.0446501
hydrogen	0.0445688
"blood bank"	0.0445162
gland	0.0444998
widget	0.0444438
sodium	0.0444156
"leisure time"	0.0442655
illegals	0.0442131
"moral hazard"	0.0441364
"compact disk"	0.0439525
microorganism	0.0439372
plutonium	0.0439032
polyp	0.0438963
"body part"	0.0437824
larvae	0.0437614
Atom	0.0437043
"ice crystal"	0.0436078
lining	0.0435796
vein	0.0434707
salamander	0.0434631
lysine	0.0433233
coil	0.043314
"petri dish"	0.043192
gallstone	0.043178
mollusk	0.0429118
"hot air"	0.0428332
SMIs	0.0427881
"artificial heart"	0.0427822
cellulose	0.0427756
clump	0.0427718
registrant	0.042661
silicone	0.0426315
brownfields	0.0426208
"fire ant"	0.0424816
seedling	0.0423978
"Trojan Horse"	0.0423379
"line of business"	0.0422714
stent	0.042223
placenta	0.042222
"legal instrument"	0.0421629
"body weight"	0.0420281
cortex	0.0420171
))
("blood clot" (desc 6735.3) (sims
clot	0.244397
"liver disease"	0.191606
hemorrhage	0.186296
"heat exhaustion"	0.183436
"heart failure"	0.183095
lesion	0.177001
aneurysm	0.168175
"brain tumor"	0.168143
"cardiovascular disease"	0.165086
blockage	0.164578
"congestive heart failure"	0.163834
ulcer	0.163468
pneumonia	0.163237
"heart attack"	0.162711
arrhythmia	0.151251
dehydration	0.147818
abscess	0.145513
emphysema	0.145451
tumor	0.143325
"food poisoning"	0.143068
hypothermia	0.139667
ailment	0.139324
"heart disease"	0.138517
cirrhosis	0.137951
swelling	0.135503
"heart condition"	0.134656
inflammation	0.134283
fracture	0.133232
gallstone	0.133227
infection	0.13296
overdose	0.127795
hypertension	0.125626
"lung cancer"	0.125057
abnormality	0.124469
"colon cancer"	0.124115
complication	0.124016
anemia	0.124015
bronchitis	0.123934
"high blood pressure"	0.122529
influenza	0.116477
"ice crystal"	0.115112
leukemia	0.114875
gangrene	0.113679
"Parkinson's disease"	0.113587
lymphoma	0.113327
inhalation	0.113097
polyp	0.112009
melanoma	0.111531
diarrhea	0.111148
diabetes	0.110699
Meningitis	0.110294
"chest pain"	0.110052
Osteoporosis	0.10893
Exhaustion	0.108865
"respiratory disease"	0.108733
"multiple sclerosis"	0.107232
disorder	0.105975
"skin cancer"	0.105867
cataract	0.105357
cyst	0.104377
malnutrition	0.102848
trauma	0.102246
poisoning	0.101297
"kidney disease"	0.100711
"skin disease"	0.100154
stroke	0.0999492
jaundice	0.0998609
atherosclerosis	0.0997131
"lymph node"	0.0991483
dementia	0.0989427
defect	0.0979949
cancer	0.0979339
paralysis	0.0973349
arthritis	0.097228
gastroenteritis	0.0949248
tendinitis	0.0940619
suffocation	0.093644
nodule	0.0934845
malformation	0.0933869
asthma	0.0925087
"kidney stone"	0.0914278
blindness	0.0909963
diarrhoea	0.0906874
"asthma attack"	0.0902923
"side effect"	0.0901294
starvation	0.0899377
allergy	0.0899263
"blood vessel"	0.0895779
"cystic fibrosis"	0.089496
fever	0.0894878
heartbeat	0.0892977
relapse	0.088902
artery	0.0888142
sunburn	0.0887482
illness	0.0881397
cramp	0.0880324
flu	0.0880033
frostbite	0.0873799
"genetic disease"	0.0868591
fibroids	0.0866772
seizure	0.086618
syndrome	0.0861166
infertility	0.0860813
epilepsy	0.0858014
"flash flood"	0.0855694
"eye disease"	0.0855138
malfunction	0.0853126
"neurological disease"	0.0845677
miscarriage	0.0843995
fatigue	0.0843682
overexposure	0.0841518
"back pain"	0.0834377
hepatitis	0.0833026
angina	0.082732
malaria	0.0821498
symptom	0.080451
"health problem"	0.0803616
incontinence	0.0796066
malady	0.0791826
"dengue fever"	0.0790771
stomachache	0.0790624
rupture	0.0787821
sore	0.0785155
Alzheimer	0.0783952
overheating	0.0783817
tuberculosis	0.0783448
soreness	0.0779821
clotting	0.0777951
mutation	0.0775036
spasm	0.077391
sickness	0.0772697
encephalitis	0.0768671
cholera	0.0766179
osteoarthritis	0.074938
deformity	0.0747974
lung	0.0745966
"mental illness"	0.0744874
"crop failure"	0.0743697
"plant disease"	0.0740604
kidney	0.0739363
hernia	0.0734575
fibrillation	0.0732327
"infectious disease"	0.0726669
rollovers	0.0726217
"rheumatoid arthritis"	0.0724789
bleeding	0.0724586
"short circuit"	0.0722692
SIDS	0.0721862
recurrence	0.0720387
stiffness	0.0718732
"acid rain"	0.071501
migraine	0.071446
"sore throat"	0.071188
vomiting	0.0710605
mudslide	0.0705037
irritation	0.0697021
Depression	0.0693688
CJD	0.0691588
"blood pressure"	0.0690733
calamity	0.0688304
glaucoma	0.0687697
"tooth decay"	0.0687425
numbness	0.0687168
insomnia	0.0685016
nausea	0.0683134
"engine failure"	0.0680044
malignancy	0.0678593
famine	0.0677815
bruise	0.0674516
imbalance	0.0670963
Alcoholism	0.0667721
concussion	0.0665862
tissue	0.0665049
buildup	0.0664625
sprain	0.0659482
"neurological disorder"	0.0657099
cartilage	0.0656308
nerve	0.0656124
constipation	0.065486
"malignant tumor"	0.0653257
deflation	0.065195
"power failure"	0.0647479
incision	0.0638512
strangulation	0.0634547
glitch	0.0632731
ligament	0.0632024
"forest fire"	0.0630945
als	0.0629479
gunshot	0.0627003
destabilization	0.0626438
retardation	0.0626004
ache	0.0625677
Parkinson's	0.0621513
mishap	0.0619386
gland	0.0619381
schizophrenia	0.0619069
tendon	0.0618721
headache	0.0617792
impotence	0.061663
side-effects	0.0615455
))
("blood donor" (desc 2842.07) (sims
centenarian	0.110015
part-timer	0.0833056
eighth-graders	0.0815395
job-seekers	0.081164
homebuyers	0.080495
newborns	0.0801917
smoker	0.0796346
enlistee	0.0774461
"Iranian POWs"	0.0765409
"national income"	0.0765097
"drug user"	0.0763268
"fire fighter"	0.0753646
"drug addict"	0.0745999
"AIDS patient"	0.0739165
diabetic	0.0736299
reservist	0.0712449
illiterate	0.0685498
firemen	0.0681782
postgraduate	0.0673545
exerciser	0.0668366
"elephant population"	0.0667868
hemophiliac	0.0661103
"heroin addict"	0.0660151
cardholders	0.0659547
"married woman"	0.0645793
sixth-graders	0.0644789
examinees	0.0640869
"church member"	0.0639968
learner	0.0639553
Beijingers	0.0639294
fourth-graders	0.0638624
claimant	0.0632623
enrollee	0.0620047
churchgoer	0.0619426
adoptees	0.0615789
MIAs	0.0609824
"job candidate"	0.0608598
interviewee	0.0603576
"industrial enterprise"	0.0603356
giver	0.0598873
VMs	0.059773
"cancer death"	0.0595832
"home buyer"	0.0593615
"fatal accident"	0.0590466
deserter	0.0589451
elector	0.0586887
"Asian Americans"	0.0586675
"job seeker"	0.058665
Zambian	0.0583173
dropout	0.0582609
"faculty member"	0.0579888
homeownership	0.0575263
mammography	0.0574919
"steel production"	0.0574462
"Export Processing Zones"	0.057364
Cambodian	0.0569632
searcher	0.0567895
caregiver	0.0567711
drinker	0.0566227
"skilled worker"	0.0565792
"Kennewick Man"	0.0564843
nonsmoker	0.0562244
enrollment	0.0561745
seminarian	0.0561467
"big leaguer"	0.0558384
"public servant"	0.0555483
transient	0.0555178
homeowner	0.0554605
landscaper	0.05518
"African Americans"	0.055122
"computer expert"	0.0550884
FDI	0.0549487
"gross national product"	0.0548325
illegals	0.0545781
Haitian	0.0543898
urbanites	0.0543414
"Overseas Chinese"	0.0542011
conscript	0.0540741
"military personnel"	0.0539937
vote-getters	0.0539173
medic	0.0538341
"wage earner"	0.0535815
"foreign direct investment"	0.0534528
helper	0.0532293
respondent	0.0531418
Mozambican	0.0531198
"Iraqi POWs"	0.0528008
"beer drinker"	0.0527658
goal-scorer	0.0527294
handicapper	0.0527289
SMIs	0.0526492
practitioner	0.0526204
"registered nurse"	0.0525116
Intimidator	0.0523341
"risk taker"	0.0521899
payer	0.0520936
dweller	0.0520604
Alumni	0.0519703
dispensary	0.0518375
"young person"	0.0518238
"senior citizen"	0.051574
"social worker"	0.05151
"medical specialist"	0.0515085
pupil	0.0513324
test-takers	0.0512124
abuser	0.0509171
vacationer	0.0509131
rollovers	0.0508078
drownings	0.0505012
"Palm III"	0.0503534
"first school"	0.0502223
cross-dresser	0.0501685
neuron	0.0501026
salespeople	0.0500674
SMEs	0.0500487
servicemen	0.0499221
"parking ticket"	0.0498889
trespasser	0.0497387
"polling place"	0.0496314
"temporary worker"	0.0496011
"language school"	0.0495221
"working day"	0.0494735
fireman	0.0493822
"black woman"	0.0490998
cadre	0.0490102
gatherer	0.0489134
NPLs	0.0488465
"leave of absence"	0.0488252
"heavy hitter"	0.0487958
veterinarian	0.0487931
bullfighter	0.0487468
acquirer	0.0485786
mammogram	0.0485452
"card holder"	0.0484594
stowaway	0.0483314
agronomist	0.0482751
"major leaguer"	0.0482703
"guardian angel"	0.0482313
transfusion	0.0482303
probationer	0.0481646
miner	0.0481607
borrower	0.0479683
"foster parent"	0.0479267
"a few thousand dollars"	0.0478941
sufferer	0.0477549
"labor force"	0.0477412
"black person"	0.0477122
Singaporean	0.047627
"general practitioner"	0.0474149
"union member"	0.0473735
leper	0.0473419
"day laborer"	0.0473127
T-cells	0.0473003
childcare	0.0472958
techies	0.0472686
"diplomatic corps"	0.0471781
reviewer	0.0471378
pensioner	0.0470358
homebuilder	0.0468867
"medical student"	0.0468413
trainee	0.0467632
"blood transfusion"	0.0467336
hotspots	0.0467285
holidaymaker	0.0467189
non-Albanians	0.0466419
renter	0.0466274
Snitch	0.0465397
surfer	0.0465223
GNP	0.0464642
exhibitor	0.0463793
delinquent	0.0463285
dieters	0.0463211
inpatient	0.0462679
"Albanian Kosovars"	0.0462677
"university student"	0.0461764
"giving birth"	0.0460879
faceoffs	0.0460399
neurosis	0.0460096
seamstress	0.0459922
"New Jerseyans"	0.0458816
"political prisoner"	0.0458539
attendees	0.0457633
"public defender"	0.0457367
"health professional"	0.0454927
"non-governmental organizations"	0.0454301
"personal income"	0.0453901
workforce	0.0452349
goer	0.0452181
"job cut"	0.0451614
"telephone system"	0.0451181
shoplifter	0.045116
Ph.D.s	0.0450903
lawbreaker	0.0450889
accreditation	0.0448808
parolee	0.0448723
"educational institution"	0.0448712
firefighter	0.0448627
gambler	0.0447713
"sales outlet"	0.0447601
laid-offs	0.0447562
))
("blood feud" (desc 2148.47) (sims
enmity	0.0696139
dichotomy	0.0675961
"Free Trade Agreement"	0.0646916
face-off	0.0635838
"Great Divide"	0.062001
"bad blood"	0.0597644
"dividing line"	0.0586807
"personal relation"	0.0583295
polarization	0.0582683
discord	0.058159
antagonism	0.0576754
tug-of-war	0.054012
tiff	0.051331
animosity	0.0500272
"fault line"	0.0499042
"wrestling match"	0.0476429
Hunchback	0.0471167
toss-up	0.0458033
pogrom	0.0457932
"budget debate"	0.0454272
"custody battle"	0.044858
"demarcation line"	0.0448107
miscommunication	0.0446326
"civic duty"	0.044025
"Arctic Circle"	0.0430069
"Oslo Accords"	0.0429818
"belly dancer"	0.0428786
"fire wall"	0.0426047
"waiting game"	0.0424805
"debt issue"	0.0423634
jealousy	0.0422126
apparatchiks	0.0417018
"balance of power"	0.0415894
colloquy	0.041538
inequity	0.0414832
cross-pollination	0.0412437
"rat race"	0.0411745
decommissioning	0.0408402
carafe	0.0406939
"Anti-Ballistic Missile Treaty"	0.0405787
"video recording"	0.04047
denouncement	0.0403676
imbroglio	0.0403167
"electronic database"	0.040106
))
("blood pressure" (desc 16775.4) (sims
"blood sugar"	0.231526
"high blood pressure"	0.227873
cholesterol	0.223597
"heart rate"	0.212379
"body temperature"	0.197744
hypertension	0.183232
respiration	0.169155
diabetes	0.145428
asthma	0.140782
glucose	0.138242
Obesity	0.131304
insomnia	0.128054
"air pressure"	0.126631
"heart disease"	0.125745
heartbeat	0.123435
HDL	0.122674
"relative humidity"	0.122611
breathing	0.121922
fertility	0.121154
nausea	0.119075
"mortality rate"	0.115607
angina	0.114761
LDL	0.112838
"fertility rate"	0.112664
ulcer	0.111591
"bond price"	0.110835
temperature	0.110395
IQ	0.110132
"water table"	0.109085
"death rate"	0.108665
"crime rate"	0.107592
"body weight"	0.105878
allergy	0.105191
"noise level"	0.104534
"bank rate"	0.104419
"poverty rate"	0.104299
"life expectancy"	0.104207
density	0.104013
intake	0.103852
mortality	0.103829
"birth rate"	0.103405
"water level"	0.102606
"gas price"	0.102425
"chest pain"	0.101461
"labor cost"	0.101401
dizziness	0.101044
dehydration	0.100316
humidity	0.100118
shortness	0.0997267
"standard of living"	0.0988216
vomiting	0.0985811
diarrhea	0.0978821
caseloads	0.0971609
Osteoporosis	0.0957804
homocysteine	0.0956542
arthritis	0.0955072
symptom	0.0944592
"inflation rate"	0.0943946
PSA	0.0941512
"production cost"	0.0938561
"mortgage rate"	0.0937127
voltage	0.0931194
smoking	0.0929741
infection	0.0928954
"occupancy rate"	0.092405
"unemployment rate"	0.0922649
fatigue	0.0920245
productivity	0.0914128
Depression	0.0909299
migraine	0.0908688
metabolism	0.0907534
anemia	0.0907515
incidence	0.090483
"memory loss"	0.0897667
"oil price"	0.0890516
"borrowing cost"	0.0888538
self-esteem	0.0884361
"cost of living"	0.0883869
consumption	0.0878621
headache	0.0868225
"money supply"	0.0855258
"tooth decay"	0.0848507
epilepsy	0.0846665
pain	0.0841532
stomachache	0.0838528
enrollment	0.0837166
"heart failure"	0.0835167
"lung cancer"	0.0833652
"back pain"	0.0830976
"operating cost"	0.0829003
pneumonia	0.0826732
"tax rate"	0.082375
inflation	0.0818565
cancer	0.0815836
"heart condition"	0.0810367
fever	0.0808887
ailment	0.0808287
unemployment	0.0807939
eyesight	0.0804787
dementia	0.0800406
viewership	0.0796287
testosterone	0.0795804
seizure	0.0793542
"insurance premium"	0.0793333
"retail price"	0.0788894
"rate of inflation"	0.0784278
ratio	0.0781079
"cardiovascular disease"	0.0776729
illness	0.077661
cough	0.07737
schizophrenia	0.0771155
morale	0.0771048
weight	0.0769077
salinity	0.0765443
joblessness	0.0765162
tumor	0.0763005
"selling price"	0.0761044
heartburn	0.0757066
"heart attack"	0.0755034
"interest rate"	0.0753928
"skin rash"	0.0753725
BMI	0.0747329
disorder	0.0744027
pulse	0.0739983
usage	0.0738706
impotence	0.0738461
anxiety	0.0737282
"sore throat"	0.0736467
"exchange rate"	0.0735258
"brain wave"	0.0734124
"congestive heart failure"	0.0730945
disease	0.0728388
flow	0.0727887
velocity	0.0726598
glaucoma	0.0725871
emission	0.072078
estrogen	0.072038
"take-home pay"	0.0719184
dosage	0.0718142
ridership	0.0717708
"rheumatoid arthritis"	0.0716174
"air pollution"	0.0715575
yield	0.0715206
"marketing cost"	0.071511
palpitation	0.0714936
"funds rate"	0.0714936
"test score"	0.0713752
constipation	0.0712567
"retail price index"	0.071167
disorientation	0.071096
drowsiness	0.071075
"Parkinson's disease"	0.0707332
inventory	0.0707002
ache	0.0706316
"quality of life"	0.0705763
"kidney disease"	0.0702638
pregnancy	0.0700598
"voter turnout"	0.0699671
bronchitis	0.0695667
"skin cancer"	0.0695301
pollution	0.069446
attendance	0.0692967
fat	0.0692227
"factory order"	0.0691269
"blood clot"	0.0690733
emphysema	0.0688859
impairment	0.0688755
"futures price"	0.0683129
HIV	0.0682872
"risk factor"	0.0682708
jaundice	0.0677452
fibrillation	0.0676086
"upset stomach"	0.0674938
indices	0.0674874
irritability	0.0674656
appetite	0.0673568
Diet	0.0672324
"multiple sclerosis"	0.0670573
blindness	0.0669433
NPLs	0.0669198
"liver disease"	0.0667589
"oil production"	0.0667105
concentration	0.0664917
alertness	0.0664456
acne	0.0662988
"alcohol abuse"	0.0662388
numbness	0.0661222
"cancer death"	0.066118
arrhythmia	0.0660494
infertility	0.0660197
swelling	0.0657579
"consumer price index"	0.065718
birthrate	0.0656312
"health problem"	0.0654866
"budget deficit"	0.0653807
income	0.0653685
"truck sale"	0.0652549
"profit margin"	0.0649793
"nervous system"	0.0646192
tuberculosis	0.0644653
))
("blood sugar" (desc 4130.14) (sims
glucose	0.260539
"blood pressure"	0.231526
"body temperature"	0.218925
"heart rate"	0.216569
cholesterol	0.188957
HDL	0.186644
LDL	0.173244
homocysteine	0.150511
"body weight"	0.149609
voltage	0.129497
"air pressure"	0.121066
pH	0.111078
"high blood pressure"	0.110981
salinity	0.101865
insulin	0.0980159
clotting	0.0973631
respiration	0.0972978
"bank rate"	0.0955919
testosterone	0.0954246
PSA	0.0948573
hypertension	0.0948244
heartbeat	0.0923108
electrolyte	0.09231
"brain wave"	0.0919731
Obesity	0.0909702
jaundice	0.0901316
absenteeism	0.0900231
antigen	0.089743
"gas price"	0.0880824
"carbon monoxide"	0.0868244
"noise level"	0.086755
"borrowing cost"	0.0864641
"mortgage rate"	0.0859028
radioactivity	0.0841756
IQ	0.0835823
intake	0.0832513
humidity	0.0828693
Radon	0.0813235
dosage	0.0801994
temperature	0.0794905
"heart disease"	0.0768311
CFCs	0.0767195
melatonin	0.0766506
hormone	0.0766363
caseloads	0.0762306
hemoglobin	0.076166
joblessness	0.0761623
homeownership	0.0752599
diabetes	0.0752199
"fertility rate"	0.0740542
dizziness	0.0739556
smoking	0.073696
tar	0.0733683
emission	0.0733293
"operating cost"	0.073254
fertility	0.0730598
arsenic	0.0728326
"electric bill"	0.0723102
"crime rate"	0.0711593
electrocardiogram	0.0711353
density	0.0710023
lactose	0.0708351
NPLs	0.0705489
brightness	0.0701304
sodium	0.0699055
ozone	0.0697618
"hydrogen sulfide"	0.0695319
"water level"	0.0694847
"take-home pay"	0.0691232
"labor cost"	0.0690233
alertness	0.0689238
atherosclerosis	0.0688326
"trading activity"	0.0688105
"cost structure"	0.0687833
"operating expenses"	0.0685084
"exchange rate"	0.068413
asthma	0.0680054
"fatty acid"	0.0678782
nicotine	0.0670172
"water table"	0.0667079
adrenalin	0.0666491
cyanide	0.0664248
pulse	0.0663066
"standard of living"	0.0662186
"birth rate"	0.0659863
octane	0.0657166
usage	0.0656015
toxicity	0.0655929
"red blood cell"	0.0655503
"air pollution"	0.0655371
breathing	0.0654455
"oil price"	0.065158
"relative humidity"	0.0647757
"retail price"	0.0645709
"production cost"	0.0642804
"cost of living"	0.063752
"blood type"	0.0637206
smog	0.0636031
"water pollution"	0.0632893
C-section	0.0631046
"center of gravity"	0.0627601
"poverty rate"	0.0626525
incidence	0.0625172
estrogen	0.0625061
"bond price"	0.0622564
hGH	0.0621985
sulfur	0.0620305
moisture	0.0620181
"current account"	0.0617002
thyroid	0.0615995
cryptosporidium	0.0614211
workload	0.0613082
"sulfur dioxide"	0.061184
TAXES	0.0610315
chlorine	0.0607649
mortality	0.06068
"selling price"	0.0605748
"memory loss"	0.0605144
metabolism	0.0601499
"money supply"	0.0599046
"occupancy rate"	0.0597988
"heart condition"	0.0596887
"phone bill"	0.0595532
PCB	0.0593807
"bond rating"	0.059314
leptin	0.0592764
pollutant	0.0591861
"asset value"	0.0591101
nitrogen	0.0590951
self-esteem	0.0590275
"heroin addiction"	0.0589045
"life expectancy"	0.0585346
"mortality rate"	0.0585244
"key rate"	0.0583644
threshhold	0.0581752
enzyme	0.0581316
"elephant population"	0.0579379
migraine	0.0574206
"tax bracket"	0.0574017
serotonin	0.0571029
calorie	0.0570172
calory	0.0570142
Osteoporosis	0.0568949
dioxin	0.0566927
"inflation rate"	0.0565689
"reaction time"	0.056223
folate	0.0561085
"animal disease"	0.0560807
delinquency	0.0557278
proficiency	0.0556292
"carbon dioxide"	0.0556165
carbohydrate	0.0553888
"vitamin D"	0.0551697
"biological clock"	0.0551102
nitrate	0.0549861
birthrate	0.0548943
"tax collection"	0.0545534
"Producer Price Index"	0.0545452
radiation	0.0545024
potassium	0.0541418
"death rate"	0.0541149
enrolment	0.0540954
diabetic	0.0534011
indices	0.0533911
"interest expense"	0.0533623
"rate of inflation"	0.0533217
fluoride	0.0533186
"soil erosion"	0.053226
chloride	0.0532003
insomnia	0.0531845
dopamine	0.0531825
"communicable disease"	0.0531026
starch	0.0530837
beryllium	0.0530414
subsidence	0.0528764
macro-economy	0.0526988
protein	0.0525399
osteoarthritis	0.0524959
T-cells	0.0522517
oxygen	0.0521183
"property tax"	0.0518959
nutrient	0.0515421
"oil production"	0.0514351
"budget deficit"	0.0514153
carcinogen	0.0513805
liquidity	0.0513289
arousal	0.0512284
mercury	0.0511286
"growth hormone"	0.0510913
"bodily function"	0.0510449
"medicare payment"	0.050983
enrollment	0.050871
"marketing cost"	0.0506713
Sulphur	0.0505819
deductibles	0.0503644
"chest pain"	0.0502644
"voter turnout"	0.0500903
"gasoline tax"	0.0500622
"futures price"	0.0500419
STI	0.0500121
))
("blood test" (desc 13425.1) (sims
scan	0.181147
MRI	0.17385
mammograms	0.149107
x-ray	0.146769
biopsy	0.14529
"magnetic resonance imaging"	0.141001
test	0.140188
"medical examination"	0.136832
electrocardiogram	0.136532
Exam	0.136044
testing	0.135545
ultrasound	0.134241
screening	0.122932
polygraph	0.113682
examination	0.112882
"medical exam"	0.1124
checkup	0.112264
autopsy	0.11176
smear	0.10019
mammography	0.0984275
mammogram	0.0983635
physicals	0.0980276
EKG	0.095886
"medical checkup"	0.0957766
therapy	0.0904185
evaluation	0.0894634
"health check"	0.0894077
"background check"	0.0889587
vaccination	0.0883951
sample	0.0861349
chemotherapy	0.085209
"medical check-up"	0.0836556
audit	0.0828066
measurement	0.0791517
inspection	0.0787984
treatment	0.0784657
Vaccine	0.0779132
"surgical procedure"	0.0772052
"blood transfusion"	0.0771786
medication	0.0764413
immunization	0.0756642
"Field Poll"	0.0719645
"Gallup Poll"	0.071049
procedure	0.0704697
hospitalization	0.0702989
"head count"	0.0691488
urine	0.0685059
enema	0.067122
sampling	0.0669539
regimen	0.0668601
surveillance	0.0665979
transplant	0.0664568
"medical record"	0.066307
analysis	0.0659389
antibiotic	0.0635665
surgery	0.0634479
injection	0.0626012
method	0.0624683
dialysis	0.0619077
Inoculation	0.0614374
"surveillance system"	0.0609396
assessment	0.0607774
angioplasty	0.0603092
AZT	0.0601166
census	0.0600731
appraisal	0.0593596
SAT	0.0586994
Chemo	0.0579689
fingerprinting	0.0577132
counseling	0.0576787
sterilization	0.0576216
questionnaire	0.0572871
CPR	0.0560595
"safety measure"	0.0558885
blood	0.0555676
antibody	0.0553231
prescription	0.0553219
technique	0.055304
"medical care"	0.0547243
diagnosis	0.0544632
"report card"	0.0541506
"fire drill"	0.0538337
Gene	0.053802
device	0.0537515
"blood type"	0.0535852
"refresher course"	0.0535748
"point system"	0.0534786
PSA	0.0534599
psychotherapy	0.0533711
liposuction	0.0533235
fingerprint	0.0531038
MCAS	0.0526508
transfusion	0.0523697
dose	0.0522164
excavation	0.0521455
simulation	0.0519649
radiotherapy	0.051657
"training program"	0.0515443
observation	0.0512874
"rating system"	0.0510608
acupuncture	0.0510571
DNA	0.0510264
"public opinion poll"	0.0509064
"plastic surgery"	0.0507029
identification	0.0502926
kit	0.0502224
self-examination	0.0499581
detector	0.0497366
countermeasure	0.0493779
"police investigation"	0.0493211
inhibitor	0.0487356
Zyvox	0.048733
"space walk"	0.0487177
resuscitation	0.0485538
scanner	0.0483007
exhumation	0.0482842
incontinence	0.0481611
retrial	0.0478587
"progress report"	0.047745
"computer program"	0.0475129
curriculum	0.0475007
laser	0.0474445
"early warning system"	0.0474327
CT	0.0473933
TAAS	0.0472514
remedy	0.0472237
spraying	0.0472059
"medical history"	0.0471536
massage	0.0470236
detection	0.0467627
fertilization	0.046762
"enforcement action"	0.0466513
interrogation	0.0466323
battery	0.0466241
nevirapine	0.0466053
modification	0.0465868
mechanism	0.0464185
registration	0.0463572
monitoring	0.0461873
"gamma ray"	0.0460823
analyses	0.0460548
"test score"	0.0460172
precaution	0.0458755
"first aid"	0.0458707
sonar	0.0458606
radiation	0.0458419
implant	0.045725
enumeration	0.0454761
homework	0.0454221
"rate cut"	0.0453083
quiz	0.045235
"hearing aid"	0.0452015
wiretap	0.0450773
tabulation	0.0449773
textbook	0.0448609
"memory chip"	0.0448366
dosage	0.0445416
pill	0.0445003
"detective work"	0.0444552
"police action"	0.0440377
sensor	0.0439619
circumcision	0.0438509
"coat of paint"	0.0438067
mutation	0.0437661
detoxification	0.0437591
verification	0.0437311
Rezulin	0.0434183
cleaning	0.0432282
calculator	0.0431837
prevention	0.0431489
abnormality	0.0430124
"quota system"	0.0429817
anesthesia	0.0429305
feedback	0.0428584
documentation	0.0428343
painkiller	0.0428319
radar	0.0427528
manicure	0.042727
Measures	0.0426178
condom	0.0425393
"blood pressure"	0.0424972
"face lift"	0.0424325
"monitoring program"	0.0423301
"physical therapy"	0.0421494
debriefing	0.0420339
maintenance	0.0419864
postmortem	0.0419617
guideline	0.0418221
fungicide	0.0418129
adjustment	0.0417326
"blood sugar"	0.0416639
watering	0.0416624
"education program"	0.0415201
password	0.0415175
certification	0.0414339
"risk factor"	0.041413
"policy change"	0.0413708
vector	0.041298
taps	0.0411822
mastectomy	0.0411752
))
("blood transfusion" (desc 7778.06) (sims
transfusion	0.20574
"sexual intercourse"	0.157314
dialysis	0.127399
angioplasty	0.100538
blood	0.0911042
chemotherapy	0.0896688
"surgical procedure"	0.0878234
injection	0.0842164
psychotherapy	0.0834465
transplant	0.0832613
"medical checkup"	0.0791276
radiotherapy	0.0784475
liposuction	0.0772494
"blood test"	0.0771786
"medical check-up"	0.0753679
needle	0.0750018
vaccination	0.0747295
sterilization	0.0742884
"physical therapy"	0.0719534
"medical examination"	0.0717875
implant	0.0704168
Contraception	0.070163
hospitalization	0.0697324
biopsy	0.0686644
augmentation	0.0664687
transplantation	0.066145
Vaccine	0.0651261
feeding	0.0646561
checkup	0.0643016
"first aid"	0.0641297
immunization	0.0630883
radiation	0.0628316
therapy	0.0620551
"drug use"	0.0619507
mammography	0.0613164
"nursing care"	0.0612538
"health check"	0.0606568
anesthesia	0.0599057
"dental care"	0.059407
medication	0.0587971
"oral sex"	0.0585327
circumcision	0.0584657
transmission	0.057712
"medical care"	0.0576238
"artificial insemination"	0.057212
antibiotic	0.0558086
"birth control"	0.0554712
"plastic surgery"	0.0551819
hypnosis	0.0539907
spraying	0.0527717
"face lift"	0.0523603
Inoculation	0.0521976
mammograms	0.0518809
"family planning"	0.0518283
"hypodermic needle"	0.0517795
abortion	0.0517525
"sexual activity"	0.0507763
resuscitation	0.0505359
"hearing aid"	0.0503698
mastectomy	0.0499629
C-section	0.0499371
acupuncture	0.0496173
"drinking water"	0.0496161
detoxification	0.049575
pregnancy	0.0494175
refrigeration	0.0487982
EKG	0.0487509
contraceptive	0.0487226
"sewage disposal"	0.0485698
"alcohol abuse"	0.0485116
physicals	0.0484479
vasectomy	0.0482841
"data communication"	0.0482586
decontamination	0.0481717
amputation	0.0480794
"chemical warfare"	0.0480668
massage	0.0478904
childbirth	0.0477593
fingerprinting	0.0476724
"medical exam"	0.0476429
"sleeping pill"	0.0474805
detection	0.0472324
"sexually transmitted disease"	0.0469441
"blood donor"	0.0467336
painkiller	0.0463689
Chemo	0.0462164
purification	0.0460349
"refresher course"	0.045839
sanitation	0.0453099
oncology	0.0451561
defibrillator	0.0450576
mammogram	0.0449834
smoking	0.0447783
spacewalks	0.0445465
AZT	0.0444997
"hospital care"	0.0443977
rehabilitation	0.0441638
pneumonia	0.0438319
ultrasound	0.0435254
syringe	0.0434462
sensing	0.0432703
electrocardiogram	0.0432523
screening	0.0432224
"bone marrow"	0.0429284
storage	0.0428994
"marriage proposal"	0.0428318
"medical aid"	0.0427293
watering	0.0425806
navigation	0.0425206
counseling	0.0422677
pacemaker	0.0421475
filtering	0.0418087
HIV	0.0417321
miscarriage	0.0413423
stimulation	0.0411797
CPR	0.0411027
"day care"	0.0410951
respirator	0.0409312
fertilization	0.0409272
enema	0.04084
"day of rest"	0.0405496
prostitution	0.0405155
"breast implant"	0.0403542
carnivore	0.0403265
disposal	0.0402303
"tap water"	0.0401654
surveillance	0.0401502
imaging	0.0400122
))
("blood type" (desc 2470.25) (sims
"street address"	0.105786
"Social Security number"	0.0929598
diaphragm	0.0919017
"mailing address"	0.0865574
calibre	0.0767579
"bone marrow"	0.0739153
"skin color"	0.0737795
"line of work"	0.0719689
"body type"	0.0705582
"medical history"	0.0700951
password	0.0688782
"vital organ"	0.0682937
"identification number"	0.0681162
"zip code"	0.0674646
"maiden name"	0.0664503
"frame of reference"	0.0663579
marrow	0.0660262
"sex appeal"	0.0637868
"blood sugar"	0.0637206
gender	0.0604103
typeface	0.0593217
"area code"	0.0568729
"phone number"	0.0567853
"internal organ"	0.0565996
blubber	0.0564486
fingerprint	0.0562117
"foster home"	0.0557305
subconscious	0.0554486
dosage	0.0553937
"ticket stub"	0.0551695
"social system"	0.0549034
"body part"	0.0548646
temperament	0.0543849
"credit history"	0.0542879
coloring	0.0541075
specialities	0.0540075
"mental state"	0.0537875
"blood test"	0.0535852
kidney	0.0533674
curvature	0.0533639
keyword	0.0525517
remotes	0.0511105
"frame of mind"	0.0507454
"Jeep Cherokee"	0.0507224
"skin cancer"	0.0503943
antigen	0.0503262
"marital status"	0.0496931
cornea	0.0495584
viewpoint	0.0494247
esophagus	0.0493942
career-best	0.0492936
"medical record"	0.0490262
"body weight"	0.0489398
malignancy	0.0488898
saliva	0.0488388
pancreas	0.0485243
thyroid	0.0483752
colour	0.0481407
O's	0.0480253
"name and address"	0.0479129
electrocardiogram	0.0477899
"genetic disease"	0.0477817
vagina	0.0473267
"place of birth"	0.0470765
polygraph	0.0465425
"neurological disease"	0.0464344
"visual image"	0.0461536
"brain wave"	0.0459116
"Court @"	0.045577
"blood pressure"	0.0453763
spacing	0.0453713
"time zone"	0.0452115
urine	0.0451104
"lymph node"	0.0450055
"liver disease"	0.0446653
ilk	0.044645
proficiency	0.0445742
"computer language"	0.0445221
chromosome	0.0444181
"mind's eye"	0.0444085
placenta	0.0443788
weightings	0.0442269
sinus	0.0440383
housemates	0.0439174
"family name"	0.043816
multiplayer	0.0436716
caliber	0.0436512
salutation	0.0434749
enzyme	0.0434493
BMI	0.0431359
mettle	0.0430783
"state of mind"	0.0428812
antibody	0.0427997
"credit report"	0.0427554
mindset	0.0427484
H	0.0426354
inhibition	0.0425325
pronunciation	0.0425013
"parking space"	0.0424945
nearsightedness	0.0424823
sinew	0.042264
feistiness	0.0422125
specification	0.042164
"tax liability"	0.0418902
abdomen	0.0418294
thickness	0.041826
H@	0.0416816
IQ	0.0416413
"vocal cord"	0.0415778
hairstyle	0.0415199
tuner	0.0414978
wattage	0.0410669
spleen	0.0410584
handwriting	0.0408558
abnormality	0.0407441
configuration	0.0406329
"first name"	0.0405711
bloodstream	0.0404954
alignment	0.0404928
personae	0.0404828
ethnicity	0.0404532
biosphere	0.0404176
loathing	0.0403426
"heart rate"	0.040153
))
("blood vessel" (desc 18193.6) (sims
artery	0.255017
"coronary artery"	0.188922
tissue	0.160725
airway	0.146939
aorta	0.141847
lung	0.138164
vein	0.125571
neuron	0.124946
nerve	0.123283
tumor	0.122352
bladder	0.122107
"spinal cord"	0.118878
muscle	0.118017
"muscle cell"	0.116512
liver	0.113989
"nerve cell"	0.113768
capillary	0.113742
spleen	0.111969
"lymph node"	0.111595
cell	0.11139
cartilage	0.110272
intestine	0.10815
"heart valve"	0.106895
"brain cell"	0.106781
"nervous system"	0.105169
aneurysm	0.105144
retina	0.104964
pancreas	0.104419
kidney	0.103522
"central nervous system"	0.101233
brain	0.100918
clot	0.100741
uterus	0.0993308
angiogenesis	0.0991373
"water main"	0.0983813
esophagus	0.0978091
tendon	0.0937743
gland	0.0932794
"blood cell"	0.0910676
bone	0.0903745
"blood clot"	0.0895779
"cancer cell"	0.0895357
cornea	0.0882517
colon	0.0881402
prostate	0.0881152
"digestive tract"	0.0879844
valve	0.0878942
skin	0.0863951
"prostate gland"	0.0861175
"connective tissue"	0.0848905
"internal organ"	0.0845367
lining	0.0844402
testicle	0.0843899
enzyme	0.0837612
organ	0.0827811
"bone marrow"	0.0822665
ligament	0.0813295
receptor	0.0804821
"digestive system"	0.0791185
sinus	0.079072
polyp	0.0783844
"heart muscle"	0.0776535
abdomen	0.0771927
"white blood cell"	0.0769197
"vocal cord"	0.0762333
blood	0.076209
ovary	0.0761702
"water pipe"	0.0761463
cyst	0.0760087
placenta	0.075606
"hair follicle"	0.0732023
limb	0.0718025
bowel	0.0706236
lesion	0.0706036
gallstone	0.0694714
joint	0.0684733
membrane	0.0684602
pipe	0.0678633
heart	0.067824
vessel	0.0672894
larynx	0.0672876
pore	0.066546
protein	0.0664819
swelling	0.0660119
stomach	0.0657105
"red blood cell"	0.0644564
thyroid	0.0643055
T-cells	0.0642796
"gas line"	0.064032
cancer	0.0639195
eardrum	0.063575
breast	0.063475
"blood pressure"	0.0633885
serotonin	0.0632664
tonsil	0.0626297
cortex	0.0624846
incision	0.061837
molecule	0.0616912
nostril	0.0613671
inflammation	0.060835
hormone	0.0601193
duct	0.0601118
blockage	0.0595601
"achilles tendon"	0.0593271
implant	0.0593064
cervix	0.0591601
spine	0.0591136
"vital organ"	0.0590718
cavity	0.0588939
fibroids	0.0583864
fluid	0.0582433
tube	0.0576452
circuitry	0.0575781
malformation	0.0575557
infection	0.0572529
Embryo	0.0570849
Gene	0.0570484
"nitric oxide"	0.0567801
sinew	0.0564571
bloodstream	0.0562663
hemorrhage	0.0557031
oxygen	0.0553385
fiber	0.0550359
abscess	0.0550014
metabolism	0.0545427
passageway	0.0545083
disorder	0.0543691
pigment	0.053666
catheter	0.0536211
"malignant tumor"	0.0535344
abnormality	0.0533783
"air bubble"	0.0532387
fracture	0.0531114
"skin cell"	0.0529968
pipeline	0.0527652
sac	0.0522747
antibody	0.0519058
chromosome	0.0517913
organism	0.0516645
"storage tank"	0.0515751
hernia	0.0512007
bacteria	0.0510683
defect	0.0504488
appendix	0.0504309
circulation	0.0500335
marrow	0.0499142
follicle	0.0490854
vagina	0.0489276
melanoma	0.0486744
clotting	0.0486414
diaphragm	0.0485348
fat	0.0481875
"sewer line"	0.048125
cataract	0.0479492
fungus	0.0479473
graft	0.0479154
dopamine	0.0478936
tract	0.0478891
"oil pipeline"	0.0477941
mouth	0.0476956
waterway	0.0476683
pathway	0.0471246
dike	0.047063
virus	0.0470149
cholesterol	0.0466925
meniscus	0.0463
triceps	0.0459276
"power line"	0.0455867
microbe	0.0455719
mildew	0.0455071
wiring	0.0453101
eyeball	0.0450401
levee	0.0448527
toxin	0.0443146
neurotransmitter	0.0442705
insulin	0.0441807
electrode	0.044071
"blood sugar"	0.0439036
parasite	0.0438536
chest	0.0435337
transplant	0.0435211
substance	0.0433972
"heart disease"	0.0433785
arthritis	0.0432303
droplet	0.043059
Achilles	0.0430049
spore	0.0429754
gut	0.0429555
rhythm	0.0428669
diabetes	0.0428324
"water hyacinth"	0.0427643
gum	0.0427377
throat	0.0423663
nutrient	0.0423156
sperm	0.0422233
moisture	0.0420696
reflex	0.0420031
neck	0.041956
arrhythmia	0.0418174
bruise	0.0417436
))
(bloodbath (desc 5247.62) (sims
carnage	0.139627
catastrophe	0.135099
massacre	0.124494
rampage	0.122837
bloodshed	0.121904
conflagration	0.119633
tragedy	0.116321
slaughter	0.108133
bloodletting	0.106406
inferno	0.10511
unrest	0.101164
debacle	0.0925342
upheaval	0.0913741
flare-up	0.0881426
meltdown	0.0881286
chaos	0.0863664
cataclysm	0.0856674
selloff	0.0835994
disaster	0.0825988
spree	0.082569
shakeout	0.0825509
confrontation	0.0824785
riot	0.0816399
melee	0.0812063
genocide	0.0810019
mudslide	0.0807421
brawl	0.0797771
anarchy	0.0791097
calamity	0.0790491
fireball	0.0788983
selloffs	0.0785753
blowout	0.0781236
sell-off	0.0779225
deluge	0.0759946
rioting	0.0742081
cleansing	0.0726019
strife	0.0725882
"mass murder"	0.0721444
butchery	0.07198
purge	0.0714189
disintegration	0.0709341
turmoil	0.0701268
famine	0.0699775
fiasco	0.0699091
"arms race"	0.0697388
spillage	0.0696221
instability	0.0695402
mishap	0.0686545
landslide	0.0685707
"chain reaction"	0.0680927
"vicious cycle"	0.0680771
bombardment	0.067838
"civil war"	0.0677079
"fatal accident"	0.0667975
nightmare	0.0666342
crises	0.0664206
"air attack"	0.066179
"military action"	0.065967
stampede	0.0658541
free-for-all	0.0657439
"world war"	0.0657192
"market correction"	0.0656142
recession	0.0653175
aggravation	0.065305
sell-offs	0.0651812
turbulence	0.0649457
hyperinflation	0.0645912
ordeal	0.0642202
quagmire	0.0640667
wipeout	0.0639371
implosion	0.0639195
exodus	0.0636884
"brain drain"	0.0635029
eruption	0.0634823
mayhem	0.0629805
invasion	0.0628609
blackout	0.0627962
insurrection	0.062783
retribution	0.0625357
shootout	0.0623811
horror	0.0621013
outbreak	0.0620085
"power failure"	0.0617955
"military campaign"	0.0617113
gunbattles	0.0616494
downturn	0.0613841
destabilization	0.0612191
"bear market"	0.061148
escalation	0.0610974
reprisal	0.0610198
atrocity	0.0608759
"bank failure"	0.060748
looting	0.0606018
shoot-out	0.0603922
stoppage	0.0600829
downturns	0.06
eventuality	0.0599834
revolt	0.0599785
tsunami	0.0599201
fracas	0.0598288
warfare	0.0595791
gridlock	0.0593643
walkout	0.0593553
sickout	0.0593322
"work stoppage"	0.0592788
devastation	0.0591958
frenzy	0.0589174
pileup	0.0588931
"forest fire"	0.0588844
tumult	0.0588596
onslaught	0.0588089
derailment	0.0587552
orgy	0.0586926
showdown	0.058446
slaying	0.0582482
foul-up	0.0580953
"violent death"	0.0578956
embarrassment	0.0576955
blaze	0.057604
airstrike	0.0575711
foreclosure	0.0573272
firefight	0.0571639
"flash flood"	0.0571094
deterioration	0.0570543
dislocation	0.0570405
uprising	0.0567303
"New Wave"	0.0566765
brownout	0.0563959
"coup attempt"	0.0563682
rebellion	0.0562583
"white elephant"	0.0562185
"interest rate increase"	0.0561627
slugfest	0.0561088
shutdown	0.0558366
rash	0.0557332
maelstrom	0.055682
outage	0.0553938
uproar	0.0552948
devaluation	0.0552331
"ground attack"	0.0551028
backlash	0.0547582
ruckus	0.0544242
panic	0.0544101
suicide	0.0542221
earthquake	0.0541924
epidemic	0.0541118
"price war"	0.0540757
miscarriage	0.0540169
squabble	0.0539038
holocaust	0.0538986
repression	0.0537623
displacement	0.0536979
gunbattle	0.0536853
wildfire	0.0535585
TINDERBOX	0.0534834
snafu	0.0533736
disturbance	0.0531128
disarray	0.0529799
convulsion	0.0529062
murder-suicide	0.0526594
downdraft	0.0523876
humiliation	0.0523363
skirmish	0.05227
contraction	0.0522544
coup	0.0522174
recrimination	0.0521899
avalanche	0.052075
"heat wave"	0.0520591
miscalculation	0.0519731
Ostracism	0.0517308
fallout	0.051698
"crime wave"	0.05168
trauma	0.0516653
retrenchment	0.0516185
"corruption scandal"	0.051468
siege	0.0513689
quarrel	0.0513247
counter-offensive	0.0513054
splurge	0.0512739
"nervous breakdown"	0.051247
drubbing	0.0512302
"crash landing"	0.0511725
"brush fire"	0.0511676
meltdowns	0.0511323
apocalypse	0.0510325
commotion	0.0509718
furor	0.0506903
"bombing run"	0.0506742
"volcanic eruption"	0.0506015
deflation	0.0504682
insurgency	0.0504246
assassination	0.0504215
"dog bite"	0.0503787
persecution	0.0503326
"crop failure"	0.0503197
breakage	0.0503121
standoff	0.0502179
airstrikes	0.0500986
"ghost town"	0.0500173
amputation	0.0500024
))
(bloodhound (desc 1621.3) (sims
"police dog"	0.117946
searcher	0.078939
gunboat	0.0715544
gendarmerie	0.0702937
"fire truck"	0.0701482
spotter	0.0693654
"patrol boat"	0.0688092
bulldozer	0.0684001
"landing craft"	0.0655899
materiel	0.0631076
"rocket launcher"	0.0621704
trespasser	0.0618401
"Labrador retriever"	0.0616368
"quarter horse"	0.061033
"detective work"	0.0606673
frogmen	0.0606214
daredevil	0.0605304
"army tank"	0.0591018
"jet plane"	0.0580252
potty	0.0574389
cutter	0.0571497
mitochondria	0.0569569
"scuba diver"	0.0565022
cobra	0.0563254
"voting machine"	0.0562685
triangulation	0.0557204
"foster mother"	0.0552027
"patrol car"	0.0550577
genealogist	0.0549298
nonentity	0.05485
"artillery unit"	0.0547895
"fire engine"	0.0547725
warthog	0.0545488
masseuse	0.0538837
Huey	0.0538102
Taufik	0.0530315
photocopier	0.0526592
"personnel carrier"	0.0526204
preparers	0.0519628
"squad car"	0.0519589
dragnet	0.0517573
hovercraft	0.0514586
blimp	0.0513193
wiretap	0.0513081
"target range"	0.0511902
"ground crew"	0.0511037
trimmer	0.0510534
thermostat	0.0508096
"National Guard"	0.0508059
Washingtonian	0.0506632
speller	0.0503572
"little leaguer"	0.0502917
"fighter aircraft"	0.0497153
Rottweiler	0.0496594
submersible	0.0496592
"water cannon"	0.0493552
"work group"	0.0492774
"filing cabinet"	0.0490164
prosthesis	0.0489885
C-@@@	0.0489479
Bostonian	0.0489029
stethoscope	0.0487766
"small boat"	0.0486409
beekeeper	0.0481697
looker	0.0480744
launcher	0.0478254
Vick	0.0473839
streetlight	0.0473626
"beer drinker"	0.047005
Irishman	0.0468267
gunship	0.0467405
Intimidator	0.0465699
dacha	0.0462181
NSA	0.0462071
tracker	0.0460438
minesweeper	0.0460267
census-takers	0.045939
Humvee	0.0458935
bodybuilder	0.045833
tarpon	0.0455113
back.	0.0454515
fighter-bombers	0.045367
Speedster	0.0453363
preservationist	0.045254
pooch	0.0452217
tuner	0.0451988
chinook	0.0451352
identifier	0.0450544
"weather satellite"	0.0450489
"attack aircraft"	0.0449531
lifeboat	0.0449009
"scientific instrument"	0.0448499
altimeter	0.0447994
"temporary worker"	0.0443279
Blaylock	0.0442222
"choice of words"	0.0442091
bettor	0.0439392
"air filter"	0.0438424
databank	0.0438014
stuntman	0.0437538
pug	0.0436666
"U.S. Coast Guard"	0.0436158
"Hail Mary"	0.043612
Hejduk	0.0435625
Humvees	0.0435617
Tuinei	0.0433546
"private investigator"	0.0432205
pursuer	0.0431888
"field hospital"	0.0430211
"Star of David"	0.0429935
Tables	0.0425236
eavesdropper	0.0424041
Osgood	0.0423187
potluck	0.0422805
Spyglass	0.0422524
"Easter bunny"	0.04208
parachutist	0.04205
Orbiter	0.0419389
binocular	0.0418995
"bond rating"	0.0418975
snowplow	0.0417659
"police car"	0.0415328
"trading post"	0.0415212
backhoe	0.0414631
manicurist	0.0414509
Buffaloes	0.0414011
enumerators	0.0412879
triathlete	0.0412863
monarchist	0.0412665
Apaches	0.0412376
skateboarder	0.040987
technocrat	0.0407562
Veras	0.0407474
switch-hitter	0.0407445
metronome	0.0407182
mailman	0.0405926
"law officer"	0.0403898
motorboat	0.0403406
CCC	0.0403182
Gilkey	0.0402901
balloonist	0.0402307
ex-convicts	0.040004
))
(bloodiest (desc 1008.73) (sims
heaviest	0.164858
deadliest	0.153235
warmest	0.142818
busiest	0.115045
shortest	0.111413
hottest	0.105322
"first pitcher"	0.0964301
toughest	0.0939876
rebounders	0.0936535
brightest	0.0917571
slowest	0.0913561
third-highest	0.0894738
second-longest	0.0886285
quickest	0.0872521
"triple play"	0.0855085
"three pitchers"	0.0849289
second-highest	0.0817167
"dramatic event"	0.0809268
strongest	0.0798302
second-worst	0.0791395
goal-scorer	0.0776863
"line of duty"	0.0771801
third-best	0.0738574
richest	0.0719165
Lissouba	0.0715406
Stealers	0.0660322
"American Dance Festival"	0.0652208
happiest	0.0629897
earliest	0.0623006
"Great Divide"	0.0614148
"first cup"	0.0605057
downtrend	0.059281
newest	0.0585193
belligerents	0.057987
"fatal accident"	0.0575072
second-fastest	0.0574232
"cash crunch"	0.0566025
epoch	0.0558658
hardest	0.0557237
"two schools"	0.0550718
underachiever	0.0548442
QBs	0.05403
fastest	0.053506
cheapest	0.0532866
"hard times"	0.0520139
deepest	0.0519391
"first tour"	0.0515717
exigency	0.0509058
downturns	0.0503115
basemen	0.0501716
triple-double	0.0500373
"eighth time"	0.0499981
frontlines	0.0499854
GPA	0.0498979
goalscorer	0.0495861
"cold spell"	0.0494029
"bank failure"	0.0492001
safest	0.0491461
finds	0.0490172
battlefront	0.0489913
"second person"	0.0487022
"first school"	0.0485409
weakest	0.0484226
rushers	0.0477811
gunbattles	0.0476566
"seventh time"	0.0475472
quarterfinalists	0.0475296
extermination	0.0472781
"E Street Band"	0.0469157
"combat mission"	0.0467444
rainout	0.0467224
"two baskets"	0.0466582
"basketball season"	0.0466048
"more than @ million tons"	0.0457918
"first points"	0.0457467
"ice storm"	0.0456978
no-decisions	0.0455023
selloffs	0.0453986
pogrom	0.0453572
"three schools"	0.0453366
"five homers"	0.0452982
"first decade"	0.0442248
"crown jewels"	0.0440616
insolvency	0.0435672
"meteor shower"	0.0432619
"flash point"	0.0427371
ridership	0.0422612
"first point"	0.0422097
"sixth time"	0.0418921
loudest	0.0417644
orator	0.0415248
"two pitchers"	0.041471
uptrend	0.0414287
"Jenny Chuasiriporn"	0.0413093
discoverer	0.0412853
"nerve center"	0.0412218
"technological revolution"	0.0412117
adopters	0.0407372
"Final Fours"	0.0407065
"first basket"	0.0406856
"mass murder"	0.0404935
"Dorothy Chandler Pavilion"	0.0404931
))
(bloodletting (desc 5241.06) (sims
bloodshed	0.135078
carnage	0.107531
bloodbath	0.106406
rioting	0.0965514
looting	0.0939546
selloffs	0.0939253
strife	0.0928959
cleansing	0.090063
conflagration	0.0890122
purge	0.0887146
in-fighting	0.0878784
unrest	0.086464
lawlessness	0.0862485
finger-pointing	0.0861375
squabble	0.0860877
upheaval	0.0848318
anarchy	0.0829835
repression	0.0814061
"bear market"	0.0811638
mayhem	0.0811137
horse-trading	0.080177
"price war"	0.0801502
feud	0.0800401
warfare	0.0796249
pandemonium	0.0795175
flare-up	0.0790552
bleeding	0.0786437
recrimination	0.0772769
"name calling"	0.0772602
tumult	0.0766096
bickering	0.0760287
"race riot"	0.0760231
"mass murder"	0.0757593
skirmish	0.0756275
atrocity	0.0745977
catastrophe	0.0742924
sell-offs	0.0734711
"arms race"	0.073292
cannibalism	0.0730872
rancor	0.0722227
brutality	0.0712768
vandalism	0.0712471
sparring	0.0704554
instability	0.0703427
"civil war"	0.0699896
massacre	0.0699149
brinksmanship	0.0697955
turmoil	0.0697322
riot	0.0689109
factionalism	0.0688508
discord	0.0683815
cataclysm	0.0683144
turbulence	0.0679725
slaughter	0.067945
fistfight	0.06792
ugliness	0.0671226
persecution	0.0670927
famine	0.0665366
chaos	0.0664855
contagion	0.0663206
panic	0.0661194
confrontation	0.0660313
"crime wave"	0.0659027
polarization	0.0654935
shakeout	0.0653205
divisiveness	0.0653145
crises	0.0650165
infighting	0.064918
banditry	0.0649062
barbarity	0.0645289
hostility	0.0645262
rivalry	0.0641293
terror	0.0637119
displacement	0.0634437
oppression	0.0631835
extremism	0.0630208
"military campaign"	0.0628096
convulsion	0.0625493
disturbance	0.0624812
hooliganism	0.0624531
free-for-all	0.0623932
tyranny	0.06222
contretemps	0.0621452
wrangle	0.0616892
insecurity	0.0615529
downslide	0.0614998
craziness	0.0614334
destabilization	0.0612209
downsizing	0.0609419
volatility	0.0608507
firefight	0.0608003
savagery	0.0607962
insurrection	0.0606874
felling	0.0605138
"air raid"	0.0604673
"bull market"	0.0604548
commotion	0.060363
scuffle	0.0601899
soul-searching	0.0601516
"air attack"	0.0601325
rampage	0.0594295
trashing	0.0594084
fanaticism	0.0591915
harassment	0.0591658
brouhaha	0.0591554
animosity	0.0590277
illegality	0.0589503
agitation	0.0586656
intolerance	0.0586119
burnings	0.058347
"heat wave"	0.0583398
hatred	0.0582192
rebellion	0.0580094
"price cutting"	0.0579396
fury	0.0578964
downdraft	0.0576778
gamesmanship	0.0575308
bombardment	0.0573377
escalation	0.0571928
calamity	0.0571628
brinkmanship	0.0570628
onslaught	0.0568769
freefall	0.0568097
exodus	0.0567224
"proxy fight"	0.0566113
"market correction"	0.0565522
incitement	0.0564696
downturns	0.0564579
"power failure"	0.0562612
aggression	0.0562579
"military action"	0.0562342
realignments	0.0561933
meltdown	0.0561909
dislocation	0.0561292
snafu	0.0561125
wrangling	0.0556987
"price increase"	0.0555854
horror	0.0555171
gaffe	0.0554122
"takeover battle"	0.0550655
spat	0.0550644
mutilation	0.0550468
partisanship	0.0549836
"work stoppage"	0.0546172
madness	0.0545645
"guessing game"	0.0543858
deterioration	0.0543232
acrimony	0.0542637
inequity	0.0542436
kidnapping	0.0541529
provocation	0.0539275
intimidation	0.0536823
free-fall	0.0536602
lynching	0.0535713
brawl	0.0534113
quarrel	0.0533471
antagonism	0.0532229
devastation	0.0531679
criminality	0.0531551
snowstorm	0.0531149
drawdown	0.0530504
epidemic	0.0529524
fisticuffs	0.0528677
flashpoints	0.0526164
"Bull Run"	0.0525982
hemorrhage	0.0525579
militarism	0.0525405
butchery	0.0525213
revolt	0.0524243
sell-off	0.0523142
genocide	0.0522839
spiral	0.052149
ferment	0.0521262
disintegration	0.051987
firefights	0.0518943
insurgency	0.0516234
misery	0.0515707
sickout	0.0515246
hand-wringing	0.0515078
"vicious circle"	0.0515021
mega-mergers	0.0513541
stupidity	0.0513185
hysteria	0.0512914
walkout	0.0512593
uproar	0.0512355
airstrike	0.0512082
hyperinflation	0.0512011
jitters	0.0511443
friction	0.0509583
thuggery	0.0509163
fracas	0.0509156
"parlor game"	0.0507699
sectarianism	0.0507045
introspection	0.0506973
"brush fire"	0.0506452
debacle	0.0506172
intifada	0.0505081
shelling	0.0504818
tailspin	0.0504816
slugfest	0.050402
))
(bloodline (desc 3785.38) (sims
lineage	0.104593
pedigree	0.100542
ancestry	0.0944968
authorship	0.0626052
provenance	0.0606432
parentage	0.0566181
morbidity	0.0539679
acumen	0.0535993
Highness	0.0516736
antecedent	0.0507504
genealogy	0.0501657
chutzpah	0.0480348
"Y chromosome"	0.0470664
IQ	0.0467498
diaspora	0.0451703
traditionalism	0.0446979
"Cy Young Awards"	0.0443915
aristocracy	0.0435736
Rolodex	0.0433942
physique	0.0418956
"staying power"	0.0417892
feistiness	0.0415679
intellect	0.0408072
))
(bloodshed (desc 26195.9) (sims
violence	0.209334
unrest	0.197606
carnage	0.168354
strife	0.161207
conflict	0.15786
instability	0.154144
rioting	0.152106
hostility	0.149357
looting	0.145578
massacre	0.145286
clash	0.143667
chaos	0.141373
fighting	0.140544
tension	0.140031
"civil war"	0.139795
riot	0.138649
warfare	0.13858
slaughter	0.138301
famine	0.137457
catastrophe	0.13593
bloodletting	0.135078
confrontation	0.133655
atrocity	0.131855
turmoil	0.131245
upheaval	0.129179
killing	0.128097
lawlessness	0.12702
cleansing	0.126844
tragedy	0.12552
repression	0.124426
war	0.122151
bloodbath	0.121904
destruction	0.12006
anarchy	0.119717
disaster	0.115954
suffering	0.114406
persecution	0.114279
terror	0.111698
crises	0.109031
mayhem	0.108705
disruption	0.10718
crisis	0.106462
escalation	0.106293
conflagration	0.105039
devastation	0.103812
misery	0.103697
flare-up	0.10319
confusion	0.10278
shelling	0.1022
"military action"	0.102186
rebellion	0.101744
bombing	0.10165
displacement	0.101228
turbulence	0.101179
"arms race"	0.100751
insecurity	0.10034
hardship	0.100096
genocide	0.0989619
deterioration	0.0986718
attack	0.0983314
outbreak	0.0975104
terrorism	0.0974155
insurgency	0.0972997
hatred	0.0971627
harassment	0.0967386
brutality	0.0963174
abuse	0.0959548
kidnapping	0.0959406
divisiveness	0.0957916
disturbance	0.0955218
aggression	0.0949485
calamity	0.0942608
airstrikes	0.0939738
abduction	0.0936876
oppression	0.0934801
incident	0.0927434
starvation	0.0921426
stalemate	0.0920485
uprising	0.0917732
explosion	0.0914339
"economic crisis"	0.091243
exodus	0.0910006
destabilization	0.0900262
deadlock	0.0895642
bombardment	0.0889371
revolt	0.0883275
panic	0.088302
epidemic	0.0878128
"air attack"	0.0876868
skirmish	0.0875829
shooting	0.0872793
flood	0.0872326
recession	0.0872192
"mass murder"	0.0863674
drought	0.0862756
collapse	0.0859794
provocation	0.0859783
friction	0.0855439
controversy	0.085424
"bomb blast"	0.085232
scandal	0.0849421
hyperinflation	0.0848432
rampage	0.0847353
recrimination	0.0842214
crackdown	0.0842036
assault	0.084017
disintegration	0.0839815
blackout	0.0834271
harm	0.0832624
expulsion	0.0828194
uncertainty	0.0826302
intimidation	0.0824462
shortage	0.0822936
trauma	0.0822166
volatility	0.082201
bickering	0.0821851
assassination	0.0819001
coup	0.0818923
purge	0.081815
mutilation	0.0817971
enmity	0.0816861
hostage-taking	0.0816636
poverty	0.0816615
invasion	0.0815517
rancor	0.0812574
corruption	0.0812171
feud	0.0811442
raid	0.0810161
torture	0.0807287
accident	0.0806534
litigation	0.080308
incursion	0.0803068
bitterness	0.0801761
intervention	0.0800839
"air raid"	0.0797041
crime	0.0796633
humiliation	0.0794056
occupation	0.0793779
vandalism	0.0792749
murder	0.0792166
horror	0.0791629
impasse	0.0789159
"military campaign"	0.0786688
trouble	0.0784924
hooliganism	0.0782932
degradation	0.0782053
isolation	0.077903
casualty	0.0774428
discord	0.0769145
protest	0.0764497
reprisal	0.0764116
debacle	0.0758645
layoff	0.0757648
firefight	0.0757204
brawl	0.0757122
deportation	0.0755358
gridlock	0.0755334
arson	0.0755268
rape	0.0755107
acrimony	0.0754346
paralysis	0.0753808
meltdown	0.0752967
delay	0.0752824
misunderstanding	0.0752293
landslide	0.0751657
standoff	0.0749606
"crime wave"	0.0747679
dispute	0.0745357
situation	0.0743927
ceasefire	0.074047
gunfire	0.0736034
offensive	0.0735767
erosion	0.0735749
spate	0.073274
struggle	0.0731472
slump	0.0730674
mistrust	0.072875
"flash flood"	0.072719
"fatal accident"	0.0726892
insurrection	0.0726585
dislocation	0.072609
eruption	0.0725566
spill	0.0722832
breakdown	0.0722349
hijacking	0.072207
Death	0.0721843
mudslide	0.0720728
devaluation	0.0719502
intrigue	0.0712647
tumult	0.0707929
downturn	0.0705759
anguish	0.0702851
mutiny	0.07023
demonstration	0.0700785
slaying	0.0697195
sabotage	0.0696672
embarrassment	0.0696196
shutdown	0.0696152
buildup	0.0695454
hunger	0.0695338
))
(bloodstream (desc 7975.68) (sims
blood	0.123139
lung	0.115998
"digestive tract"	0.0982072
tissue	0.0960347
brain	0.0901032
urine	0.0799064
intestine	0.0743515
subconscious	0.0733301
"internal organ"	0.0695395
"muscle cell"	0.0674687
esophagus	0.0671185
"ground water"	0.0670222
"blood cell"	0.0660518
vein	0.0656132
"human body"	0.0620269
liver	0.0618268
"brain cell"	0.0617616
uterus	0.060835
"cancer cell"	0.0607478
"lymph node"	0.0607349
aquifer	0.0592992
abdomen	0.0589206
womb	0.0587967
groundwater	0.0578819
"red blood cell"	0.0567646
sinus	0.0566303
"blood vessel"	0.0562663
"bone marrow"	0.0541898
artery	0.0540285
"central nervous system"	0.0533385
cavity	0.0523265
"public domain"	0.0522909
"food chain"	0.0521148
"nervous system"	0.0510024
"nerve cell"	0.0507543
"connective tissue"	0.0507378
cornea	0.0504887
tumor	0.0503874
vagina	0.0503127
"coronary artery"	0.0501689
retina	0.0500445
throat	0.049889
"inner ear"	0.0496763
"spinal cord"	0.0485526
thyroid	0.0484004
stomach	0.0482586
kidney	0.0469794
marrow	0.0465731
bladder	0.0461512
pancreas	0.0459066
ovary	0.0457445
"heart valve"	0.0450656
"water supply"	0.0448403
T-cells	0.044453
saliva	0.0443253
"circulatory system"	0.0431825
cyberspace	0.0428328
sanctum	0.0425344
"white blood cell"	0.0423705
"securities business"	0.0421319
Hantavirus	0.0419819
"medical history"	0.0417414
"boxing ring"	0.0416106
placenta	0.041154
"name and address"	0.0408927
"hair follicle"	0.04078
"blood type"	0.0404954
"heart muscle"	0.0403857
eyelid	0.040144
))
(bloom (desc 28732.3) (sims
blossom	0.168801
flower	0.154515
foliage	0.123357
leaf	0.0933069
Bud	0.0841154
color	0.0779009
petal	0.0769088
tulip	0.0733227
bloomers	0.0724552
berry	0.070894
bulb	0.0692991
pansy	0.0685547
shade	0.0682538
Pink	0.0635513
purple	0.063053
fruit	0.0629895
wildflower	0.0629255
shrub	0.0627796
bouquet	0.0618529
peony	0.0618483
carnation	0.0616655
hue	0.0614506
garden	0.061155
vine	0.0581037
Yellow	0.0574444
stem	0.0571883
tree	0.0561139
perennial	0.0549814
flowering	0.0545292
planting	0.0541174
Frost	0.0537392
seedling	0.0534503
green	0.0528985
poinsettia	0.0526916
rose	0.0526738
profusion	0.0519227
spike	0.0519178
red	0.0506762
Orange	0.0506017
daffodil	0.0505566
sunsets	0.049932
greenery	0.0492357
pollen	0.0490156
hydrangea	0.0488943
lily	0.0488671
ribbon	0.048832
petunia	0.0487202
harvest	0.0486855
stalk	0.0485118
sapling	0.0484706
twig	0.0480624
hair	0.0479236
orchid	0.0478993
specimen	0.0476301
sunshine	0.047613
azalea	0.0476061
blob	0.0473729
cluster	0.0468291
violet	0.0466594
variety	0.0465068
crop	0.0464258
pod	0.0463853
stripe	0.046316
bird	0.0462951
Lei	0.0461344
vegetable	0.0460992
blue	0.0459898
algae	0.0457408
snow	0.0456604
skin	0.0455596
grass	0.0452345
camellia	0.0451742
lilac	0.0448593
vegetation	0.0447711
geranium	0.044706
herb	0.044516
flesh	0.044459
wreath	0.044364
hyacinth	0.0441781
Wolff	0.0441371
tomato	0.0439774
specie	0.0438136
Blush	0.0435809
robe	0.043386
vase	0.0430216
pruning	0.042591
gray	0.0425812
lavender	0.0424362
glow	0.0423062
weed	0.041971
stain	0.0419447
grape	0.0418813
fleck	0.0418232
patch	0.0417123
balloon	0.041691
plume	0.0416825
evergreen	0.0415962
dot	0.0415486
palette	0.04152
wood	0.0411541
gown	0.041135
marigold	0.0411004
rainfall	0.04107
scenery	0.0410621
sun	0.0410225
chrysanthemum	0.0409899
flare	0.0406114
insect	0.0405116
coat	0.0403018
rectangle	0.0402659
Vista	0.040174
))
(Bloomberg (desc 5518.16) (sims
"Bloomberg News"	0.118629
Reuters	0.0871891
Kyodo	0.0839579
"United Press International"	0.0804191
AFP	0.0756437
ABS-CBN	0.0750264
Enquirer	0.072197
TheStreet.com	0.0716942
SSB	0.0704187
Zarb	0.0695595
MSNBC	0.0659248
"Yomiuri Shimbun"	0.0652568
"Business Times"	0.0640982
C-Span	0.0634087
"Conference Board"	0.0628914
Asahi	0.0616543
BBC	0.0614828
"Asahi Shimbun"	0.0614407
"NBC News"	0.0613387
"Straits Times"	0.0609398
"USA TODAY"	0.060753
"Wall Street Journal"	0.0603234
Zagat	0.0603189
Tankan	0.0600641
"Boston Herald"	0.0600118
"Associated Press"	0.0598386
Post-Intelligencer	0.0597073
IRNA	0.0592239
"Nihon Keizai"	0.05917
CNNfn	0.0584137
"Sky TV"	0.0576718
"Los Angeles Daily News"	0.0576357
"Los Angeles Times"	0.0574873
"British Broadcasting Corporation"	0.0574479
"Fox News Channel"	0.0570929
CNBC	0.0570027
"Dow Jones"	0.0569478
"Fox News"	0.0565342
WAM	0.0564863
"Washington Post"	0.0560434
JAMA	0.0560369
"Nihon Keizai Shimbun"	0.0553142
Ansa	0.05491
MTI	0.0544731
MarketWatch.com	0.0542983
Notimex	0.0542074
"Ghana News Agency"	0.0541629
"U.S. Agriculture Department"	0.0539199
Nebiolo	0.053729
AAA	0.0536909
"news service"	0.0535051
tribune	0.0534435
"Golf Channel"	0.0533027
NHK	0.0529409
"Morgan Stanley"	0.0527352
Gallup	0.0525544
APA	0.0525042
Newsweek	0.0523693
Usenet	0.052112
ATA	0.0516892
Sharpton	0.0515507
"CBS News"	0.0514948
"John Koskinen"	0.0514003
"Financial Times"	0.051385
Tass	0.0511464
Overnite	0.0509092
"Jack Valenti"	0.0508675
Inquirer	0.0507309
EOHR	0.0506766
"U.S. Labor Department"	0.0504352
USDA	0.0503162
"Sports Illustrated"	0.0501564
"Houston Chronicle"	0.0501076
"Moscow Times"	0.049865
Kaiser	0.0497139
"Cincinnati Enquirer"	0.0495609
"Denver Post"	0.0495336
"Social Security Administration"	0.0493481
"Dow Jones Newswires"	0.0491818
Conte	0.0491554
Forrester	0.049116
CNN	0.0491129
Braun	0.0489498
"Pacific Bell"	0.0489447
"Agence France Presse"	0.0488414
AOL	0.0486938
"Georgia Power"	0.0486844
fides	0.0484969
"Seattle Times"	0.0484501
"El Pais"	0.0482313
"Saudi Press Agency"	0.0481918
Koop	0.0481231
"Education Department"	0.0480707
"St. Louis Post-Dispatch"	0.0480611
"Agence France-Presse"	0.0480551
Antara	0.0479489
NPR	0.0478114
TT	0.0474429
Melvin	0.0474012
APTV	0.047341
GQ	0.0472728
"vanity fair"	0.047252
Priceline.com	0.0470678
Hersh	0.0470474
"Conde Nast"	0.0470286
"New Nigerian"	0.047005
"Daily Times"	0.046929
CTV	0.046914
"Entertainment Weekly"	0.0467594
Fraga	0.0466789
CBI	0.04659
Groscost	0.0464647
"Arizona Republic"	0.0464633
"wire service"	0.0463191
Tanjug	0.0462115
"Dow Jones &AMP; Co."	0.0460893
"Weather Channel"	0.0460475
NTV	0.0458846
"Detroit News"	0.0458824
"R Block"	0.0458731
E-Trade	0.0458585
BN	0.0458549
"Delta Air Lines"	0.045775
Amazon	0.0456594
"New Straits Times"	0.0456404
ESPN	0.0455942
"Fox Sports News"	0.0455558
Esquire	0.0454871
"Egyptian Middle East News Agency"	0.0454724
CNET	0.0453871
"New York Times Co."	0.0453449
"Business Week"	0.0451711
HILFIGER	0.0451512
Shulman	0.0450844
Haaretz	0.0450842
"Census Bureau"	0.0449855
Northpoint	0.0449308
ETrade	0.0446857
"College Board"	0.0444855
"Beijing Youth Daily"	0.0444827
"Des Moines Register"	0.044448
"Bureau of Labor Statistics"	0.0443832
ESPN.com	0.0443574
"TV guide"	0.0442025
"Rolling Stone"	0.0441513
IEA	0.0440555
Romer	0.0439952
Izetbegovic	0.0438047
Arum	0.0437488
BofA	0.0437048
Dar	0.0436092
Blazevic	0.0435755
"Con Ed"	0.0435656
MindSpring	0.0434383
"Cyprus News Agency"	0.0432901
Lusa	0.043175
ECW	0.04296
Camdessus	0.0429361
Chung	0.0428975
"Time Inc."	0.0427684
Petra	0.042758
Gartner	0.0426818
Maariv	0.0426486
Ebersol	0.0426387
"Sydney Morning Herald"	0.0426264
Gao	0.0425344
All-Tech	0.0425046
IDC	0.042447
"Chicago Sun-Times"	0.0424334
"Charles Schwab"	0.0423937
"San Francisco Chronicle"	0.0423848
"National Journal"	0.0423563
"Xinhua News Agency"	0.0422891
"San Antonio Express-News"	0.0422494
"British Broadcasting Corp."	0.042218
Providian	0.0420847
"Labor Department"	0.0420252
UPI	0.0419955
"CBS SportsLine"	0.0419813
Compaq	0.0419497
MSN	0.0419161
GeoCities	0.0419072
Caldor	0.0418099
"Discovery Channel"	0.0417913
"New York Post"	0.0417534
CBC	0.04175
Arnett	0.0416812
Akbar	0.0415142
DoubleClick	0.0414735
"ABC News"	0.0411089
Cuomo	0.0410259
DEP	0.0410212
ATHOME	0.0410083
Kommersant	0.0409334
"Billy Payne"	0.0408703
"U.S. Census Bureau"	0.0407338
"Kuwait News Agency"	0.0406852
"Egyptian Gazette"	0.0406625
"Congressional Black Caucus"	0.0406518
"Commerce Department"	0.040651
))
("Bloomberg News" (desc 4191.55) (sims
"Dow Jones Newswires"	0.225893
Reuters	0.165572
"Los Angeles Times"	0.16418
"Boston Herald"	0.158479
"Wall Street Journal"	0.152219
"United Press International"	0.151706
"Dallas Morning News"	0.151053
"Egyptian Middle East News Agency"	0.149189
"Washington Post"	0.141953
"Saudi Press Agency"	0.14144
"Business Times"	0.1401
"Straits Times"	0.134575
"Associated Press"	0.133592
Antara	0.133408
"USA TODAY"	0.133126
"Agence France-Presse"	0.132764
"Kuwait News Agency"	0.129007
"news service"	0.127944
"Boston Globe"	0.126696
"Australian Associated Press"	0.125692
"British Broadcasting Corporation"	0.123341
"Indonesian Observer"	0.123193
Notimex	0.122988
Noticias	0.12274
IRNA	0.122405
"Arizona Republic"	0.122352
"Jerusalem Media and Communication Center"	0.120814
"Chicago Tribune"	0.12013
"Miami Herald"	0.119387
"Jakarta Post"	0.1193
Ansa	0.119225
Bloomberg	0.118629
"National Association of Realtors"	0.118223
"Hearst Newspapers"	0.117683
"Der Spiegel"	0.11757
RSS	0.116138
"First Call/Thomson Financial"	0.115331
"Iraqi News Agency"	0.114904
"Houston Chronicle"	0.114903
"Detroit News"	0.113429
"Rwanda News Agency"	0.113385
"Financial Times"	0.111038
"Jerusalem Post"	0.110673
"Washington Times"	0.110476
AFP	0.109992
"Korean Central News Agency"	0.107865
"Seattle Times"	0.107863
"Kansas City Star"	0.10746
"Denver Post"	0.107397
"wire service"	0.106465
"Asahi Shimbun"	0.105707
"Jordan Times"	0.10517
"Egyptian Gazette"	0.105124
"Kyodo News"	0.104206
"Thai News Agency"	0.104102
"press agency"	0.103833
INA	0.103678
Lusa	0.102925
MENA	0.102668
"South African Press Association"	0.102214
"New York Times"	0.102036
BBC	0.102005
"Israel Radio"	0.10089
"Agence France Presse"	0.100642
"Yomiuri Shimbun"	0.100454
"Moscow Times"	0.100193
Kyodo	0.100102
"New Vision"	0.0995354
Haaretz	0.0994367
"Business Weekly"	0.0993343
"Antara News Agency"	0.0986638
"News Agency of Nigeria"	0.0984827
"Bureau of Labor Statistics"	0.0980475
Reforma	0.0979564
"Zimbabwe News Agency"	0.0979336
PTI	0.0978305
"San Antonio Express-News"	0.0977284
"Daily News"	0.0977117
"Koha Ditore"	0.0972983
Maariv	0.0964147
MTI	0.0963403
"Cox News Service"	0.0960567
"Daily Star"	0.0954446
Angop	0.0954063
"Ethiopian News Agency"	0.0953069
"New York Post"	0.0952812
"Hartford Courant"	0.095063
"New York Daily News"	0.0942401
"International Herald Tribune"	0.0936959
"ABC News"	0.0933156
"Kyodo News Service"	0.0931555
"Associated Press of Pakistan"	0.0929801
"Ghana News Agency"	0.0925303
"Sydney Morning Herald"	0.0921074
TT	0.0920532
"El Pais"	0.0914524
"South China Morning Post"	0.090527
"St. Louis Post-Dispatch"	0.0902659
"Press Trust"	0.0900066
tribune	0.0898346
"Tehran Times"	0.0892298
"British Broadcasting Corp."	0.0892176
"Dow Jones"	0.0885509
Tanjug	0.0884743
"Le Monde"	0.0884343
"Detroit Free Press"	0.0884309
Tass	0.0875313
Bernama	0.0873053
al-Hayat	0.086372
"New Straits Times"	0.0863181
"Orange County Register"	0.0857886
"Nihon Keizai"	0.0855227
"Cyprus News Agency"	0.085291
"Chicago Sun-Times"	0.0852395
"Xinhua News Agency"	0.0851905
"Zambia News Agency"	0.0851247
KUNA	0.0849629
Petra	0.084758
"Gulf News"	0.0840203
"Middle East News Agency"	0.083963
"Business Week"	0.0837954
"Press Trust of India"	0.0830362
Eurostat	0.082542
Newsweek	0.0822855
Interfax	0.0820031
"Nihon Keizai Shimbun"	0.0816392
BS	0.0815114
Newsday	0.0810691
"Fox News"	0.0808979
"American Petroleum Institute"	0.080612
"Islamic Republic News Agency"	0.0805391
"National Post"	0.0803608
"San Francisco Chronicle"	0.0795505
CNN	0.0794559
"Philippine News Agency"	0.0794161
Post-Intelligencer	0.07893
"CBS News"	0.0788815
"Cincinnati Enquirer"	0.0786352
"China Youth Daily"	0.0783759
"NBC News"	0.0778915
"Des Moines Register"	0.0771622
Kommersant	0.0768655
"U.S. Labor Department"	0.0765935
MSNBC	0.076516
"Voice of America"	0.0762708
"San Francisco Examiner"	0.0754514
"Iran News"	0.0753977
"Kathmandu Post"	0.0753356
RNA	0.0752292
"Wenhui Daily"	0.073637
"U.S. News"	0.073585
Asahi	0.073281
"Southern African Broadcasting Association"	0.0732453
Star-Ledger	0.0727429
Itar-Tass	0.072736
CNNfn	0.0724456
TheStreet.com	0.0719388
"Cox Newspapers"	0.0718489
"China Daily"	0.071797
SAPA	0.0714981
"Cable News Network"	0.071461
"Bangkok Post"	0.0711861
"Advertising Age"	0.0710415
Times	0.0708296
"Macao Daily News"	0.0705504
WAM	0.0702408
"Economic Daily"	0.070031
"Vietnam News"	0.0694974
"Statistics Canada"	0.0692574
"Dow Jones &AMP; Co."	0.0690357
"Fox News Channel"	0.0690346
"Anatolia News Agency"	0.0687051
"Atlanta Journal-Constitution"	0.0685715
"Vietnam News Agency"	0.0683874
"El Mundo"	0.068103
"Daily Times"	0.0672963
Gallup	0.0665753
APA	0.0665518
Inquirer	0.0664816
"San Jose Mercury News"	0.0663889
"Khaleej Times"	0.0658802
KPL	0.0656843
"Business Day"	0.0656522
"Kenya Times"	0.0652445
"Ethiopian Herald"	0.0648602
"Conference Board"	0.0647081
"Census Bureau"	0.0646966
NTV	0.0646646
"National Public Radio"	0.0645992
NHK	0.0645004
"National Weather Service"	0.0644092
"Australian Bureau of Statistics"	0.0640418
"Daily Telegraph"	0.0639569
"Daily Nation"	0.0639076
Hurriyet	0.0636651
"Economic Planning Agency"	0.063378
fides	0.0629946
"Radio Uganda"	0.0625821
"Nielsen Media Research"	0.0623129
CNBC	0.0621453
))
(bloomer (desc 1229.71) (sims
bloomers	0.150187
double-teamed	0.10106
hyper	0.100295
doer	0.0996676
battler	0.0975016
"world traveler"	0.0942337
first-rounder	0.0936432
"child molester"	0.0901576
procrastinator	0.082394
"pass catcher"	0.0823853
"big leaguer"	0.0817788
Kurd	0.0805687
"good person"	0.079567
"letter writer"	0.0790657
learner	0.0787234
overachiever	0.0781451
outta	0.0766444
"risk taker"	0.0709952
raconteur	0.070849
humanist	0.070744
"hard worker"	0.070341
"farm boy"	0.0701788
"young person"	0.0698618
miler	0.0697282
"Field Poll"	0.0683986
"character actor"	0.0683288
sadist	0.0668402
"center of attention"	0.0662682
adopters	0.0649373
"professional golfer"	0.064895
talker	0.0648556
handicapper	0.0646691
"altar boy"	0.0641313
lashing	0.0641294
"fall guy"	0.0639019
thorn	0.0635567
"straight man"	0.0632054
neophyte	0.0631133
"blue blood"	0.0630924
whiner	0.0629954
egomaniac	0.0626761
"important person"	0.0615492
grinder	0.0614667
"trump card"	0.0611915
"chess player"	0.0610288
switch-hitter	0.0609507
curmudgeon	0.0599323
"NBA All-Star"	0.0599197
wacko	0.0598278
agnostic	0.0596389
choirboy	0.0595133
goal-scorer	0.0591758
"public speaker"	0.0589947
"free spirit"	0.0589687
clarinetist	0.0589145
newspaperman	0.0586174
Hick	0.0585305
provocateur	0.0584662
tackler	0.0579729
"prima donna"	0.0574209
"first pitcher"	0.0572907
outdoorsman	0.0572386
pleaser	0.0564588
valedictorian	0.056097
pacifist	0.0560156
"black sheep"	0.0560038
bloke	0.0556246
paraplegic	0.0553012
"rich man"	0.054804
antsy	0.0547929
critter	0.0546722
charmer	0.0545325
"boy wonder"	0.0545306
queer	0.054425
"second person"	0.054334
puncher	0.0541678
toying	0.0541365
"draft dodger"	0.0539722
Atlantan	0.0538862
"grad student"	0.0538807
crybaby	0.0538127
lifer	0.0536706
stuntman	0.0533922
maniac	0.0533447
well-respected	0.0533177
communicator	0.0529854
"throwing away"	0.0528478
gadfly	0.0526656
techie	0.0525227
plus-@	0.0523081
Snitch	0.0519989
infantryman	0.0518292
chum	0.0517912
dreamer	0.0517223
perfectionist	0.0515329
whore	0.0514199
"punching bag"	0.0512693
sleeper	0.0512534
punchline	0.0509995
"electrical engineer"	0.0509547
fiend	0.050645
wonk	0.0504354
"growing season"	0.0504303
Postmaster	0.0504261
"certified public accountant"	0.0502516
typist	0.0502515
foal	0.050193
Midwesterner	0.0501263
rebounder	0.0500442
wimp	0.0499145
"piece of cloth"	0.0496685
"three pitchers"	0.0496548
flyby	0.0495979
contrarian	0.0494226
"black person"	0.0492468
"New Democrat"	0.0490346
showman	0.0490044
AWOL	0.0488163
biker	0.0487708
tomboy	0.0487468
Intimidator	0.0487291
nigger	0.0485789
"married man"	0.0485433
loner	0.0485046
"Tupac Shakur"	0.0484176
"white knight"	0.0481862
geezer	0.0481817
"pain in the neck"	0.0480094
healer	0.0480054
"Ron Brown"	0.04793
gook	0.047781
"waiting game"	0.0477596
slob	0.0473279
schoolboy	0.0473138
"blind date"	0.0472343
"Mohamed Siad Barre"	0.0472183
"stage manager"	0.0471599
"Wilt Chamberlain"	0.0471519
jokester	0.0469037
"aerospace engineer"	0.0468769
folklorist	0.0468696
"social contract"	0.0468407
walk-on	0.0468066
goofball	0.0465886
filler	0.0464548
goalscorer	0.0464542
non-factor	0.0463739
brat	0.0463018
fella	0.0462433
"bon vivant"	0.0461786
Trailblazer	0.046151
has-been	0.0461412
"Lee Atwater"	0.0461056
underachiever	0.0460362
workhorse	0.0459312
wildflower	0.0458083
taskmaster	0.0457692
beater	0.0456777
inductee	0.0455585
fount	0.0455126
merchandiser	0.0453131
moron	0.0452982
mini-camp	0.045281
hat-trick	0.045255
womanizer	0.0451937
optimist	0.0451885
heretic	0.0451342
Scrooge	0.045
flareup	0.0449333
"test pilot"	0.0448609
freebie	0.0447955
potty	0.0447875
"wise guy"	0.0447123
chameleon	0.0446756
animator	0.044549
wipeout	0.0445146
"role player"	0.0443777
one-two	0.0442406
Englishman	0.0439769
bridesmaid	0.0439746
clingy	0.0439592
beautician	0.0438555
arranger	0.0438003
picky	0.0437907
pedophile	0.0437799
fifth-grader	0.0435518
stinker	0.0434269
"Softbank Corp."	0.0433678
filers	0.0433168
recluse	0.0433132
non-issue	0.0433111
CPA	0.0432044
sucker	0.0432025
anti-Semite	0.0431714
go-round	0.0431605
antihero	0.0431528
"Leon Hess"	0.043061
Knick	0.043005
baserunner	0.0429275
amaryllis	0.042845
))
(bloomers (desc 2169.1) (sims
bloomer	0.150187
"evening dress"	0.0870027
miniskirts	0.0857703
Viburnum	0.0821828
undershirt	0.0780073
gardenia	0.0764926
panty	0.076402
plowing	0.0686835
"stiletto heel"	0.0671418
wildflower	0.065845
Wisteria	0.0642309
"evening gown"	0.0635626
camisole	0.061087
pullover	0.0606888
corset	0.0591821
"neck brace"	0.058799
petticoat	0.0586782
poinsettia	0.0586388
shorts	0.0584579
chinook	0.0583485
organza	0.0579435
bustier	0.0570713
pantsuit	0.0564443
"cocktail dress"	0.0559072
miniskirt	0.0553845
"polo shirt"	0.055214
hosiery	0.054207
minicamps	0.0538965
beading	0.0534406
"hot pants"	0.0533655
peony	0.0531504
"ball gown"	0.0530538
cardigan	0.0529609
stocking	0.052658
amaryllis	0.0521799
"sweet pea"	0.0516935
pruning	0.0515754
"baseball league"	0.0505131
"fishing season"	0.0501938
frock	0.0497836
"New Democrats"	0.0493643
slipper	0.0492993
Pantsuits	0.0492944
shrub	0.0492493
anemone	0.0491956
trouser	0.0489859
bra	0.0487503
docker	0.0486072
shrubbery	0.04853
"shoulder pad"	0.048341
clematis	0.0480189
blouse	0.0479524
"leather jacket"	0.0478063
parka	0.0476362
Thong	0.0475297
major-leaguers	0.0475037
"grocery bag"	0.0470862
azalea	0.0470588
girdle	0.0468454
anorak	0.0466327
brassiere	0.0463354
Parmigiano-Reggiano	0.0460888
ninety	0.0459655
adopters	0.0455061
windbreaker	0.0453816
transnationals	0.0452631
preparers	0.0451108
daffodil	0.0450595
tulle	0.0450065
cutoffs	0.0447289
mini-camp	0.0446577
sequin	0.0446125
cleat	0.0445585
trousers	0.0440511
varietals	0.0437932
"tennis shoe"	0.043515
applique	0.0432891
"flowering plant"	0.043253
satin	0.043059
embroidery	0.0430141
Poncho	0.0429936
sandal	0.0429504
hydrangea	0.0429238
markdowns	0.0427252
multimillionaires	0.042559
visor	0.0425553
"vital organ"	0.0423642
"running shoe"	0.0422232
bodice	0.0420764
underpants	0.0415967
"letter writer"	0.0415583
evenings	0.0415441
nightgown	0.0414682
velvet	0.0413879
turtleneck	0.0412294
schemer	0.0412045
tuxedo	0.0410881
Sash	0.0410767
"straw hat"	0.041017
pantyhose	0.0408401
"day camp"	0.0407245
tights	0.0405345
boozer	0.0405189
"cream puff"	0.0402831
"computer language"	0.040134
"business line"	0.0400931
))
(Bloomfield (desc 1395.4) (sims
Englewood	0.205086
"East Orange"	0.180199
Bridgewater	0.171429
Ridgewood	0.168614
LAKEWOOD	0.163853
"Fort Lee"	0.157905
Fairfield	0.156673
Westfield	0.152392
Lawrenceville	0.151762
Montclair	0.150416
"New Canaan"	0.145223
"Highland Park"	0.144127
Middletown	0.14141
Morristown	0.141344
Woodbridge	0.140317
Farmington	0.14019
"West Orange"	0.136843
"Warren County"	0.135719
"Sussex County"	0.133232
Chatham	0.131482
Wallingford	0.128033
Clifton	0.127297
"Union City"	0.127097
"Cherry Hill"	0.126762
Wilton	0.124296
Hackensack	0.12028
bethel	0.118862
"Ocean City"	0.113907
Dearborn	0.110868
Milford	0.109888
Sausalito	0.109747
"Newport Beach"	0.109148
"Garden City"	0.108023
Rockport	0.107888
Riverdale	0.107107
Paterson	0.106364
Waterford	0.105808
Secaucus	0.10394
Wildwood	0.103766
Trumbull	0.103553
"TOMS RIVER"	0.101836
Norwich	0.100307
Rutherford	0.100082
Westport	0.0999825
"Saratoga Springs"	0.0981867
Medford	0.0979006
Norwood	0.0973571
Williamstown	0.0964353
Easton	0.0958167
Salisbury	0.0954179
"Boynton Beach"	0.0942016
Stamford	0.0938881
Hoboken	0.0936047
Chester	0.0933267
Madison	0.0929668
Hillsborough	0.0920187
Darien	0.0904927
Plano	0.0904708
Brentwood	0.0904477
"East New York"	0.0904076
Cheshire	0.0901917
Somerville	0.0900975
"Overland Park"	0.0899287
"Ann Arbor"	0.0899211
Norwalk	0.0891336
Windsor	0.0889954
Somerset	0.0889499
"East Lansing"	0.0887845
"Washington Heights"	0.0887213
"Studio City"	0.0886573
"Fort Collins"	0.0873998
Ithaca	0.0872015
Seymour	0.0870978
Fairfax	0.086765
"New London"	0.0867309
Irvington	0.0856607
Sparta	0.085444
TRENTON	0.0852044
"Westlake Village"	0.085071
Rivlin	0.0849708
Holyoke	0.084849
Bangor	0.0844759
Bayonne	0.0843657
Claremont	0.0835882
Encino	0.0834702
"La Jolla"	0.0833147
Killington	0.0832982
Pomona	0.0831301
riverside	0.0831221
Eureka	0.0822285
Monroe	0.0816286
Soweto	0.0815868
Lansing	0.0815676
Amherst	0.08151
Hanover	0.0808476
Cornwall	0.0806646
Marquette	0.0803631
Greenwich	0.079649
"Red Hook"	0.0792193
"Fort Dix"	0.0791918
"Mill Valley"	0.0789534
"Bergen County"	0.0788177
Williamsburg	0.0787829
Fiorina	0.0787679
Aberdeen	0.0780156
Carmel	0.0777099
"Monmouth County"	0.077598
"Delray Beach"	0.0775523
"East Rutherford"	0.0774753
Yonkers	0.0772162
"Auburn Hills"	0.0771991
Rowley	0.0771822
Groton	0.0771624
Wellesley	0.0770039
Denton	0.0769292
Danbury	0.0764598
Brazile	0.0763606
"Hyde Park"	0.0760959
Storrs	0.0759829
Bensonhurst	0.0753729
Abram	0.0748141
"Ciudad Juarez"	0.0746916
Dunwoody	0.0745499
"Palm Beach Gardens"	0.074532
"South San Francisco"	0.074361
Grunwald	0.0743034
Lockwood	0.0739768
"Thousand Oaks"	0.0739158
Scarsdale	0.0738843
Gloucester	0.0737643
Cleary	0.0737144
Waterville	0.0736884
Kalamazoo	0.0736728
"Silver Spring"	0.0734278
"Paradise Valley"	0.0733636
Sussex	0.0732787
Watertown	0.073218
Bridgeport	0.0732071
Westwood	0.0727823
midland	0.0724268
BRIGHTON	0.072417
Weston	0.0723004
Randolph	0.072257
Northampton	0.0722135
Falmouth	0.0719633
"Grand Junction"	0.0718902
Mucha	0.0718015
Dover	0.0716717
McLean	0.0716129
"Miami Valley"	0.0715622
Petaluma	0.0714594
Redding	0.0714021
"Borough Park"	0.0713596
"Santa Rosa"	0.071285
Durham	0.0710668
"Coral Gables"	0.0710235
Camden	0.0706688
Tarzana	0.070517
harrison	0.0704349
Kirkland	0.0702348
Framingham	0.0700804
"Crown Heights"	0.0700587
Mortimer	0.0698408
Wayne	0.0696251
Lyme	0.0696174
"Chapel Hill"	0.0695821
"Woodland Hills"	0.0692155
"Granada Hills"	0.0691348
"San Mateo"	0.069063
Needham	0.068917
Tilberis	0.0688386
Waterbury	0.0687537
Markovic	0.0687521
"New Haven"	0.0682075
"High Point"	0.0679874
Utica	0.0675849
Pape	0.067493
"Mount Vernon"	0.0674725
"Fairfield County"	0.0673094
canton	0.0672856
Plymouth	0.0672205
"North End"	0.0671067
Carrollton	0.0671024
Kent	0.0670523
Chatsworth	0.0669505
Mckee	0.0665639
ARCADIA	0.0665111
Trieste	0.0662822
"Essex County"	0.0660924
"Grand Rapids"	0.0659323
Tuttle	0.0658756
Crawford	0.0658
Alpharetta	0.065605
Gladstone	0.065507
Wasserstein	0.0655035
Northup	0.0653137
Gaffney	0.0649642
"North Beach"	0.0649304
Cornish	0.0647652
Newton	0.0647353
))
(Bloomingdale's (desc 6356.97) (sims
"Saks Fifth Avenue"	0.280772
"Neiman Marcus"	0.251502
Nordstrom	0.235877
"Bergdorf Goodman"	0.199381
"Lord &AMP; Taylor"	0.199274
Macy	0.179694
Barneys	0.178187
"J.C. Penney"	0.169295
Saks	0.16163
Williams-Sonoma	0.140277
Sears	0.127418
"Barneys New York"	0.11521
"Federated Department Stores"	0.112999
"Kraft Foods"	0.106457
Filene	0.104815
Costco	0.104556
Harrods	0.101908
"L.L Bean"	0.100229
Kmart	0.0973938
Wal-Mart	0.0954181
"J. Crew"	0.0946529
Walmart	0.0926875
"specialty store"	0.0903385
"Barnes &AMP; Noble"	0.0867212
"department store"	0.0849856
"Toys R Us"	0.0844711
Sotheby's	0.082285
Lazarus	0.0819587
CompUSA	0.081777
"Dayton Hudson"	0.0815471
Starbucks	0.07837
"Eddie Bauer"	0.0781873
"Mather Worldwide"	0.0777224
"Radio Shack"	0.0776787
"Best Buy"	0.0758151
"Home Depot"	0.0739295
Neiman	0.0733337
"retail store"	0.0715885
"Memorial Sloan-Kettering Cancer Center"	0.0709959
"Conde Nast"	0.0706467
"discount store"	0.0701582
"Pottery Barn"	0.0697952
"Banana Republic"	0.0694895
"hardware store"	0.0685201
Christie's	0.066694
Instinet	0.0664367
"Rite Aid"	0.0660539
"farmer's market"	0.0658201
"Museum of Natural History"	0.0648735
Gump	0.0646921
"Solomon R. Guggenheim Museum"	0.0644881
"Whitney Museum of American Art"	0.0637669
"Jewish Museum"	0.0630361
"Saatchi &AMP; Saatchi"	0.0628943
"Sharper Image"	0.0628052
"GE Capital"	0.0625989
"Fred Meyer"	0.0625862
"clothing store"	0.0617759
Dillard	0.0615299
Roebuck	0.0612035
"Wal-Mart Stores"	0.0610558
"Whitney Museum"	0.0605249
Kroger	0.0603328
"toy store"	0.0592862
Publix	0.0586722
DSE	0.0584997
"Sears, Roebuck &AMP; Co."	0.0583305
drugstore	0.0579396
"Rockefeller Center"	0.0577508
"Krispy Kreme"	0.0575733
"Pacific Exchange"	0.0568427
"Abercrombie &AMP; Fitch"	0.0566861
supermarket	0.0565144
Levi	0.0564934
Penney	0.0562186
boutique	0.0560026
Pharmacy	0.0555046
"Universal Studios"	0.055421
"Sprint PCS"	0.0551819
Walgreens	0.0549432
"gift shop"	0.0545507
"Legal Aid Society"	0.0545248
Mervyn	0.054467
"Beth Israel"	0.0537881
"Plaza Hotel"	0.0524593
"Fallon McElligott"	0.0523946
"CBS Corp."	0.0523003
bookstore	0.0520041
"BBDO New York"	0.0518567
Guggenheim	0.0517813
"Ralph Lauren"	0.0513967
Primedia	0.051144
"Sara Lee"	0.0509849
"Tower Records"	0.0509426
Domino's	0.0507023
Carrefour	0.0503825
"United Airlines"	0.0503193
Reel.com	0.0502563
"Southwestern Bell"	0.050187
"Times Co."	0.0500443
"Arnold Communications"	0.0500257
"Hughes Electronics"	0.0499167
"Georgia Power"	0.0492929
YankeeNets	0.0489983
Amazon.com	0.0487807
"grocery store"	0.0487599
"Thermo Electron"	0.0485765
Drugstore.com	0.0485493
Woolworth	0.0484928
"Discovery Channel"	0.0484554
Waldorf-Astoria	0.0483662
DirecTV	0.0481231
"retail chain"	0.0480027
Reebok	0.0479037
superstore	0.0476302
"flea market"	0.0472302
"FAO Schwarz"	0.0471932
"Hunter College"	0.0471895
"Delphi Automotive Systems"	0.0471455
"Liberty Media"	0.0470697
"Levi Strauss"	0.0470662
"Cendant Corp."	0.0469487
All-Tech	0.04692
Albertson's	0.0469099
"Vanguard Group"	0.0469079
USEC	0.0468573
"Waldorf-Astoria Hotel"	0.0467608
"Madison Avenue"	0.0467503
Safeway	0.0467411
"Pizza Hut"	0.0466923
"Con Edison"	0.0466789
salon	0.0465153
"Field Poll"	0.0464499
"International Rescue Committee"	0.0463591
"publishing company"	0.046234
"Metropolitan Museum"	0.0461507
"computer store"	0.0461066
Hilton	0.0460788
"Rockefeller University"	0.0460507
CDnow	0.0459418
ITT	0.0458427
Tiffany	0.045792
"Betsey Johnson"	0.0457293
"Times Mirror Co."	0.045678
dealership	0.0456687
REVLON	0.0456538
Ikea	0.045451
"American Museum of Natural History"	0.0454061
"Chronicle Publishing"	0.0453171
Gucci	0.0451997
Travelocity	0.0449109
"Warner Books"	0.0448308
"liquor store"	0.0446786
"Old Navy"	0.0445363
"Hearst Corp."	0.0443643
Lycos	0.0441338
"US West"	0.0441099
Fairchild	0.0440711
Lorillard	0.0440454
"World Trade Center"	0.0437405
"Brooks Brothers"	0.0437337
"Pacific Bell"	0.0435934
"Gulf Air"	0.0434448
"Federal Express"	0.0432543
"auction house"	0.0431619
"Gap Inc."	0.0431445
"Riverside Church"	0.0430815
"art gallery"	0.0430772
"English Football Association"	0.0429983
"Asia Society"	0.0427995
KPA	0.0427936
"Cox Communications"	0.0426361
AIG	0.0425713
ENTERGY	0.0425286
"Koch Industries"	0.0424713
BankAmerica	0.0422962
Broderbund	0.0422883
winery	0.0421592
"Guggenheim Museum"	0.0421085
"Blue Cross"	0.0420965
cookware	0.0418821
"HBO &AMP; Co."	0.0418152
"Ford Foundation"	0.0417525
"Lincoln Center Theater"	0.0417523
"Atomic Energy Commission"	0.0416926
"Museum of Modern Art"	0.0416903
"Housing Authority"	0.0415728
eToys	0.0415074
women.com	0.0414992
Novartis	0.0414882
"Knight Ridder"	0.0414818
MFA	0.0414098
"Kansas State University"	0.0413648
"Chrysler Building"	0.0413561
"Metropolitan Museum of Art"	0.0413554
"convenience store"	0.0412785
"Learning Co."	0.0411758
"American Jewish Committee"	0.0410457
Ingram	0.0408529
"Burger King"	0.0408115
))
(Bloomington (desc 4748) (sims
"South Bend"	0.134938
Evanston	0.134368
"Fort Wayne"	0.127844
Plano	0.122149
Evansville	0.119523
Carrollton	0.117081
Wheaton	0.116039
"East Orange"	0.112176
Morristown	0.111945
"Union City"	0.111897
Knoxville	0.109824
Peoria	0.109721
"Palm Beach Gardens"	0.108294
"Overland Park"	0.108134
LAKEWOOD	0.10371
Lawrenceville	0.101921
Farmington	0.101359
"Chapel Hill"	0.100256
"Boynton Beach"	0.0989839
Holyoke	0.0969758
Decatur	0.095906
"College Station"	0.095639
Duluth	0.0953656
Lansing	0.0951402
TALLAHASSEE	0.0948007
Fremont	0.0945421
Yonkers	0.0939705
"East St. Louis"	0.0937548
Naperville	0.0930056
Deerfield	0.092903
Minneapolis	0.0928237
"St. Paul"	0.0926505
"Delray Beach"	0.0926391
Jasper	0.0921789
LaGrange	0.0920693
Burlington	0.0916324
"Highland Park"	0.0906717
"Newport Beach"	0.0904997
Alpharetta	0.0904308
Falmouth	0.0900356
Hillsboro	0.0892726
Spokane	0.0891873
"Simi Valley"	0.0890115
Tempe	0.0882868
"White Plains"	0.0880694
"East Lansing"	0.0878335
Sausalito	0.0870641
Lubbock	0.086525
Riverdale	0.0864075
"Redwood City"	0.0860461
"Round Rock"	0.0857339
Glendale	0.085698
"Westlake Village"	0.0856494
Brentwood	0.0855744
Greenville	0.0852792
Sunnyvale	0.0852083
Dearborn	0.0849875
"Mountain View"	0.0847381
"Woodland Hills"	0.0843264
"Thousand Oaks"	0.0843114
Braintree	0.0842546
Columbus	0.084002
Chatham	0.0839552
Topeka	0.0838497
"Saratoga Springs"	0.0838263
Carmel	0.0835309
"Van Nuys"	0.083438
Wilmington	0.0834303
Murmansk	0.0832656
Quincy	0.083248
Waltham	0.0827304
"College Park"	0.0824186
Shreveport	0.0822591
Norwalk	0.0822439
"South San Francisco"	0.0821979
"New Haven"	0.0820171
Arlington	0.0819557
Springfield	0.0817275
Longview	0.0816441
Medford	0.0815869
Louisville	0.0811676
Danville	0.0808757
Akron	0.0806957
Framingham	0.0803941
Gainesville	0.0799844
Stamford	0.0798011
Boise	0.0797798
"Fort Lee"	0.0797547
"Baton Rouge"	0.0794241
"Colorado Springs"	0.0793549
Princeville	0.0792406
Charlottesville	0.0791575
Freeport	0.0789373
"St. Petersburg"	0.0788826
Madison	0.0786626
Watertown	0.0783985
Wallingford	0.0783603
Newark	0.0783142
Pelham	0.0782253
"Wichita Falls"	0.0781765
Naples	0.0781016
Valparaiso	0.0779697
Macon	0.0777966
Irvington	0.0777039
Cupertino	0.0776726
Guadalajara	0.077414
Carlsbad	0.0773494
Richmond	0.0772818
Indianapolis	0.0771887
Lexington	0.0770341
"El Segundo"	0.0769509
Charleston	0.0768549
Bedford	0.0767361
Xenia	0.0764349
Albany	0.0763904
"San Mateo"	0.0762991
Tuscaloosa	0.0762574
"Grand Rapids"	0.0759666
Raleigh	0.0758665
Schenectady	0.07579
"Miami Valley"	0.0753014
Tijuana	0.0752335
Rochester	0.0751887
Greenwich	0.0750752
Nacogdoches	0.0750643
"Fort Worth"	0.0749666
Bellevue	0.0748092
Winston-Salem	0.0746293
"Ann Arbor"	0.0744662
Montclair	0.0744211
"San Marcos"	0.0739108
"La Jolla"	0.0736848
"Jersey City"	0.0735213
Bangalore	0.0733653
Pasadena	0.0732806
"Lake Worth"	0.0732731
Needham	0.0732085
Tucson	0.0730904
Hammond	0.0729359
"Daytona Beach"	0.0727433
"Great Neck"	0.072716
Shawnee	0.0723999
Norcross	0.0723981
Greenwood	0.0721733
Weimar	0.0720259
"Palo Alto"	0.0719881
"Walnut Creek"	0.0716369
"San Antonio"	0.0715983
Storrs	0.0714793
Waterbury	0.0712238
Reston	0.0710998
"Tarrant County"	0.0710962
Greensboro	0.0709236
"Cedar Rapids"	0.0709158
Juarez	0.0707527
Plymouth	0.0706875
"East New York"	0.0706181
Memphis	0.0704637
Smyrna	0.0704598
Flushing	0.0703128
Middletown	0.0703032
"Research Triangle Park"	0.0702243
Yorktown	0.0701518
Fresno	0.0700196
Provo	0.0699119
Lafayette	0.0698557
Cambridge	0.0697286
Kanungu	0.0694731
Emeryville	0.0693314
Scranton	0.0693095
Monticello	0.0692346
Clearwater	0.0692333
Westfield	0.0692327
Pittsfield	0.0691883
"Long Beach"	0.0691801
"El Paso"	0.0690527
Suwanee	0.0689958
Salem	0.0689752
"San Juan"	0.0689307
Birmingham	0.0688601
"Fort Lauderdale"	0.0688591
Plattsburgh	0.0687413
Missoula	0.0686949
Dunwoody	0.0686388
Amherst	0.0686102
Nashville	0.0685285
Burbank	0.0683043
Marietta	0.0680626
Omaha	0.0678799
Camden	0.0678213
Alexandria	0.0677562
CARACAS	0.0677425
"Long Island City"	0.0675724
Salisbury	0.067507
Bridgewater	0.0674902
TEGUCIGALPA	0.0674867
Odessa	0.0674746
"Des Moines"	0.0673209
"West Palm Beach"	0.0673181
"ST. Joseph"	0.0673147
))
(bloop (desc 2507.32) (sims
lead-off	0.254846
one-out	0.205501
two-out	0.203484
leadoff	0.187016
"sacrifice fly"	0.143283
"ground ball"	0.115011
grounder	0.111371
Lieberthal	0.111045
Brogna	0.110909
Tatis	0.108254
"David Ortiz"	0.106809
"Dave Martinez"	0.106085
"Kevin Jordan"	0.105975
Vidro	0.105314
"Cristian Guzman"	0.104285
groundout	0.10275
"Marvin Benard"	0.101684
"Edgardo Alfonzo"	0.101382
Burnitz	0.100431
"Eric Owens"	0.0994848
"fly ball"	0.0989909
blooper	0.0987224
Karros	0.0981996
O'Leary's	0.0967688
"Edgar Renteria"	0.0966976
"Deivi Cruz"	0.0965082
"Jeff Conine"	0.0961039
"Damian Miller"	0.0958433
"Herbert Perry"	0.0951799
"Jose Guillen"	0.0946794
"Geoff Jenkins"	0.092699
"Kurt Abbott"	0.0926271
"Brad Fullmer"	0.0921903
"J.T Snow"	0.0915457
dribbler	0.0913242
Cirillo	0.0912435
"Jose Valentin"	0.089734
Fryman	0.0890097
"Eddie Taubensee"	0.0889739
Fullmer	0.0887418
"Jeremy Giambi"	0.0884225
Loretta	0.0883855
Nevin	0.0882998
"Russ Johnson"	0.0880229
bunt	0.0877941
Randa	0.0876567
"Mark Loretta"	0.0875409
"Carlos Beltran"	0.0873631
Baerga	0.0870925
Agbayani	0.0866819
"Richie Sexson"	0.0864106
Rolen	0.0859428
"Terrence Long"	0.0857784
"Miguel Tejada"	0.0857572
Tejada	0.0855673
"Brook Fordyce"	0.0850499
"Doug Glanville"	0.0849878
"Mike Lieberthal"	0.0842436
"Matt Franco"	0.0836009
"Chris Gomez"	0.0827946
Aurilia	0.0827462
"Quinton McCracken"	0.0827369
"Rich Aurilia"	0.0826911
Konerko	0.0826279
"Matt Stairs"	0.0825954
Meares	0.0823613
"Mike Sweeney"	0.0819989
"Desi Relaford"	0.0819764
"Carlos Lee"	0.0819031
Hollins	0.0812591
"Kevin Young"	0.0810647
Vina	0.0809719
"Charlie Hayes"	0.080833
"Scott Spiezio"	0.0808182
"Jeff Cirillo"	0.0807561
"Matt Walbeck"	0.0802806
"Dean Palmer"	0.0801795
"Matt Lawton"	0.0800416
"Benji Gil"	0.0800268
"Miguel Cairo"	0.0799659
"Marquis Grissom"	0.0797828
"Travis Fryman"	0.0793068
"Luis Lopez"	0.0793003
"Wilton Veras"	0.079124
"Bret Boone"	0.078955
"Adam Kennedy"	0.0789065
Catalanotto	0.0788562
"Chris Widger"	0.0787561
"David Segui"	0.0787421
"Mark Kotsay"	0.0785391
"solo homer"	0.0784587
"grand slam"	0.0784163
comebacker	0.0782315
Velarde	0.0779583
"Todd Walker"	0.0779486
"Chipper Jones"	0.077921
"Dave Hansen"	0.0777648
Renteria	0.0777643
"Erubiel Durazo"	0.0776047
"base hit"	0.0772978
"David Bell"	0.0771322
"Damion Easley"	0.0771279
"Henry Rodriguez"	0.0769268
"Rich Becker"	0.0768878
Higginson	0.076669
"Magglio Ordonez"	0.0766094
"Mike Benjamin"	0.0764989
"Ray Durham"	0.0764334
"Mickey Morandini"	0.0763166
"Rondell White"	0.0762418
"third homer"	0.0762099
"Darrin Fletcher"	0.0759112
"Joe Randa"	0.0755435
"Ellis Burks"	0.0754453
"Pat Burrell"	0.0750711
Spiers	0.0746357
Giambi	0.0745337
Abreu	0.0744038
liner	0.0743956
"John Jaha"	0.0742791
"Bill Mueller"	0.0742758
Bordick	0.0740267
RBI	0.0738148
"Lance Johnson"	0.0737646
Glaus	0.0736754
"Shawon Dunston"	0.0734231
"Vladimir Guerrero"	0.0733401
"Melvin Mora"	0.0732034
Glanville	0.0731953
"Gregg Jefferies"	0.0730188
"pop fly"	0.0728168
Lankford	0.0725084
"Bobby Higginson"	0.0725031
"Cliff Floyd"	0.0720255
"Pat Meares"	0.0716446
"Tony Eusebio"	0.0712681
"Bobby Abreu"	0.0707326
"Brian McRae"	0.0705687
Huskey	0.0704262
"Rafael Furcal"	0.0703772
"Damian Jackson"	0.0703082
"Jason Kendall"	0.0702906
go-ahead	0.0701512
"Joe McEwing"	0.0700205
"Gerald Williams"	0.0700169
Batista	0.0699448
"five homers"	0.0698629
"Ron Gant"	0.0697806
Alicea	0.0696115
Grudzielanek	0.0695576
"Rey Sanchez"	0.069536
Walbeck	0.0693492
"David Dellucci"	0.0692638
"Phil Nevin"	0.0692316
"Jose Hernandez"	0.0691811
"Sean Casey"	0.0689013
"CARLOS HERNANDEZ"	0.0687688
"Dante Bichette"	0.0687454
"Bobby Estalella"	0.068734
"Karim Garcia"	0.0686343
"Orlando Palmeiro"	0.0684683
"Bengie Molina"	0.0684117
Valentin	0.0682538
"Brant Brown"	0.068159
"Andruw Jones"	0.0678111
"J.D Drew"	0.0677479
Lampkin	0.0676912
"Benny Agbayani"	0.0676145
"Bill Spiers"	0.0676107
"Luis Castillo"	0.067222
"Eric Chavez"	0.0671803
Klesko	0.0671464
Alfonzo	0.0671448
"Pokey Reese"	0.0670568
"Jay Payton"	0.0669686
"Tony Graffanino"	0.0667395
"Carlos Febles"	0.0666276
popup	0.0665315
"Andy Fox"	0.0665314
Sexson	0.0664918
Stinnett	0.0662606
"Ruben Rivera"	0.066216
"Mike Bordick"	0.0661578
Veras	0.066145
"Wilton Guerrero"	0.066115
Giles	0.0660949
DeShields	0.066079
"Wally Joyner"	0.0660098
game-winning	0.0658079
"Alex Gonzalez"	0.0657932
"second homer"	0.0657805
"Mike Lamb"	0.0655345
"Darren Lewis"	0.0655056
"Troy O'Leary"	0.0654731
"seven homers"	0.0653396
"Paul O'Neill"	0.0652704
"Richard Hidalgo"	0.0649822
chopper	0.0649619
"Woody Williams"	0.0647395
"Jose Cruz Jr."	0.0646514
))
(blooper (desc 3778.62) (sims
"line drive"	0.117811
"fly ball"	0.110868
"pop fly"	0.108215
popup	0.100039
"foul ball"	0.099231
bloop	0.0987224
crosscourt	0.0986384
liner	0.0924114
gaffe	0.0915209
dribbler	0.0902238
"base hit"	0.0870471
"solo homer"	0.0781631
"passing shot"	0.076133
pop-up	0.0759984
bunt	0.0726153
lob	0.0720706
grounder	0.0694544
"sacrifice fly"	0.0677989
"ground ball"	0.0675494
chopper	0.0654231
"Francisco Cordova"	0.0641243
flyout	0.063715
miscue	0.0628503
comebacker	0.0627672
"drop shot"	0.0626651
blunder	0.062434
"breaking ball"	0.0622136
"screen pass"	0.0617586
"Russ Ortiz"	0.061245
changeup	0.0605602
"Hail Mary"	0.0599864
Mahomes	0.0595696
shocker	0.0581396
"second homer"	0.0573298
curveball	0.0568775
"triple play"	0.0567203
Grbac	0.0566053
"ad blitz"	0.0559543
Isringhausen	0.055531
"Brian Moehler"	0.0554877
Wasdin	0.0552233
"unearned run"	0.0548873
"three @-pointers"	0.0548397
"Woody Williams"	0.0546697
buzzer-beater	0.0544916
"Dave Burba"	0.054466
Burba	0.0543774
"chip shot"	0.054336
looper	0.0542863
Rueter	0.0533632
turnoff	0.0527749
"fifth homer"	0.0527135
"Gil Heredia"	0.0521311
floater	0.0520686
miscalculation	0.0519151
Cormier	0.051833
Suppan	0.0515648
Trachsel	0.0512424
Astacio	0.0512413
"three pitchers"	0.0511739
"Dustin Hermanson"	0.0511418
"Mark Gardner"	0.0511245
misstep	0.0510256
D'Amico	0.0510044
Lieberthal	0.0509421
forehand	0.0509354
"BRIAN MEADOWS"	0.0506445
"Russ Springer"	0.0501437
"first eight"	0.0500682
mixup	0.0495669
Etherton	0.0494635
"Chan Ho Park"	0.0492395
"off-speed pitch"	0.0486368
Heredia	0.0484408
"wild pitch"	0.0483611
"Pedro Astacio"	0.0483113
"Rick White"	0.0481973
"sixth homer"	0.0481598
flack	0.0481163
"Mark Wohlers"	0.0479705
"Chris Carpenter"	0.0476682
change-up	0.047432
"Kirk Rueter"	0.0473677
layups	0.047338
Candiotti	0.0471626
"first pitcher"	0.0471548
"hook shot"	0.046759
volley	0.046712
knuckleball	0.046697
Helling	0.0464877
Schourek	0.0464276
zinger	0.0463037
"Armando Reynoso"	0.0462056
one-out	0.0462015
bouncer	0.0461334
"Pat Hentgen"	0.0458207
"Bryce Florie"	0.0457864
caveat	0.0457852
sinker	0.0457753
slipup	0.0457524
Eldred	0.0454938
Petkovsek	0.0454271
Belcher	0.0452596
expletive	0.0452307
"Millennium Bug"	0.0451315
"Steve Sparks"	0.0450505
Appier	0.0449823
changeups	0.0449331
"Gil Meche"	0.0448563
"four-letter word"	0.0448223
"Paul Shuey"	0.044699
Checo	0.0445762
Lieber	0.044537
"Darren Dreifort"	0.0444605
slider	0.0444397
no-hitter	0.0444065
gibberish	0.0443765
Halama	0.0443608
three-pointers	0.0443011
"John Burkett"	0.0442739
"speeding ticket"	0.0442511
"seventh homer"	0.0442371
"car race"	0.0441164
"sand wedge"	0.0440833
asterisk	0.0440656
Borbon	0.0440031
Osuna	0.0439457
Wendell	0.0438968
groundout	0.0438333
curveballs	0.0438233
Valdes	0.043806
"sleight of hand"	0.0438039
"No. @,@@@"	0.0436689
detour	0.0436534
Biffle	0.043632
"Tim Wakefield"	0.0434486
"close call"	0.0433673
clunker	0.0432028
"approach shot"	0.0431387
"Dale Carter"	0.0431148
Rapp	0.0428181
Dreifort	0.0426862
heartbreaker	0.0426211
"four @-pointers"	0.0425665
Contreras	0.0425278
Gillom	0.0424487
"third homer"	0.042403
"Jamey Wright"	0.0421781
"Ryan Kealy"	0.0420487
"knockout punch"	0.0420138
knockdown	0.0420014
"first word"	0.0419689
goalpost	0.0419516
"mouse click"	0.041886
"Carl Pavano"	0.0418671
kink	0.041801
somersault	0.0417538
"guessing game"	0.0417173
"Jack McDowell"	0.0416653
sloop	0.0416582
"monkey wrench"	0.0416537
Fryman	0.041628
"John Vanbiesbrouck"	0.0415941
"five spot"	0.0415924
Saberhagen	0.0415406
"accounting problem"	0.041389
wink	0.0413787
"Kenny Rogers"	0.0413616
Wakefield	0.0413514
Grimsley	0.041334
Parrish	0.0413013
harder	0.0412984
roller	0.041283
mix-up	0.0412426
baserunner	0.0408495
goof	0.0407948
stayaway	0.0407531
"Jon Lieber"	0.0406952
Mlicki	0.040654
"Marvin Benard"	0.0406339
Olivares	0.0406226
deflection	0.0405413
"shell game"	0.0405097
miscreant	0.0404928
"ground stroke"	0.0404179
juggling	0.0404018
Bottenfield	0.0403184
barb	0.0402165
Maddux	0.0402096
misstatement	0.040074
parachutist	0.0400598
letdown	0.0400507
))
(blossom (desc 16944) (sims
flower	0.174607
bloom	0.168801
petal	0.138652
foliage	0.114116
tulip	0.112913
leaf	0.109872
carnation	0.107722
Bud	0.0980352
wildflower	0.0927292
pansy	0.0909595
peony	0.0907997
lilac	0.0873333
azalea	0.0833236
dahlia	0.0816638
lily	0.0816563
berry	0.0812945
bulb	0.080857
stem	0.0792466
lavender	0.0791212
orchid	0.0789004
Orange	0.0774442
fruit	0.0771011
daffodil	0.0770381
stalk	0.0764952
greenery	0.0762308
tree	0.0757209
Wisteria	0.0755525
bouquet	0.0737454
Yellow	0.0734541
geranium	0.0734092
poinsettia	0.0731472
chrysanthemum	0.0729869
aroma	0.0729498
color	0.0714628
purple	0.0712263
Pink	0.070715
vine	0.070577
violet	0.0705304
hydrangea	0.0703249
bougainvillea	0.0700167
shrub	0.0689792
shade	0.067106
puree	0.0667554
Cherry	0.0662286
hibiscus	0.0658942
splotch	0.0658241
camellia	0.0656461
Daisy	0.0654157
rose	0.0648136
gardenia	0.0643395
lemon	0.0643317
ribbon	0.0633882
hue	0.0632988
clematis	0.0629465
twig	0.0627829
blob	0.0627087
petunia	0.062589
pod	0.0623787
plume	0.0623547
evergreen	0.0622107
peach	0.0619263
melon	0.0617889
slice	0.0614956
wreath	0.0607732
blue	0.0607715
perennial	0.0601545
sunflower	0.0597833
bark	0.0597052
dogwood	0.0594743
herb	0.0589881
syrup	0.0578822
rhododendron	0.0577514
scent	0.0574607
onion	0.0573325
confetti	0.0571234
jasmine	0.0570583
"nail polish"	0.0570118
tomato	0.0566495
coral	0.056635
blouse	0.0560775
bead	0.0559219
grape	0.0558699
feathers	0.0556459
sauce	0.0556163
seedling	0.0555871
stripe	0.0552664
marmalade	0.0546941
fig	0.0546306
TART	0.0544734
fuzz	0.0544048
glaze	0.0541532
streamer	0.0539642
flavor	0.0538164
candle	0.0536957
carrot	0.0535673
Fragrance	0.0534926
garden	0.053241
Magnolia	0.0530766
ragweed	0.0530234
crimson	0.0529433
frosting	0.0526029
miso	0.0524177
pumpkin	0.0524164
zinnia	0.0524067
grapefruit	0.0524028
sorbet	0.0523786
robe	0.0523642
pine	0.0522863
bunting	0.0522707
pigment	0.0522593
ornament	0.0521944
grass	0.0521647
COBBLER	0.0521375
orchard	0.0519454
tint	0.0516903
Canopy	0.0515672
tablecloth	0.0513197
nectar	0.0510582
muffin	0.0509513
texture	0.0509017
flesh	0.0508943
plum	0.0508568
wristband	0.0508329
vegetable	0.0508128
"food coloring"	0.0505624
potato	0.0505596
scarf	0.0505479
beet	0.0502653
"morning glory"	0.0502386
skin	0.0501815
fabric	0.0501791
gown	0.0501249
Basil	0.0500047
powder	0.049966
curtain	0.0499013
truffle	0.0497389
lantern	0.049703
balloon	0.0494678
raspberry	0.0493456
feather	0.0493321
apple	0.0492841
strawberry	0.0491128
tile	0.0489859
marigold	0.0489818
rosemary	0.0489745
liqueur	0.0488885
vegetation	0.0487201
soup	0.0487038
moth	0.0486201
amaryllis	0.0486139
rectangle	0.048606
chiffon	0.0483626
sapling	0.0482946
poppy	0.0480744
pie	0.0480131
limb	0.0478926
pollen	0.0478525
bread	0.0477569
pear	0.0477325
Garlic	0.047515
blueberry	0.0474901
clump	0.0472573
beige	0.0472487
hyacinth	0.0470783
pecan	0.0469817
sheen	0.0469387
picker	0.046894
mixture	0.0468568
eggplant	0.0468095
blotch	0.0467299
"ice cream"	0.046584
cloud	0.0465803
smock	0.0463181
skirt	0.0461733
cake	0.0459158
olive	0.0457944
bird	0.0457813
bloomers	0.0457358
acorn	0.0456058
flake	0.0455592
seashell	0.0455395
silk	0.0454806
egg	0.045454
mango	0.0453289
Lei	0.0452904
Iris	0.0451631
watermelon	0.0451602
vestment	0.0451277
carpet	0.0450779
Pudding	0.0449535
corn	0.044917
juice	0.0449076
filling	0.0447578
Flowers	0.0447032
impatiens	0.0446996
icicle	0.0446968
hair	0.044692
icing	0.0445441
"color scheme"	0.0445142
blanket	0.0444242
))
(blossoming (desc 5038.29) (sims
flowering	0.0924372
wilting	0.078335
Balkanization	0.07704
maturing	0.0656608
on-and-off	0.0629126
"nose dive"	0.0623202
thaw	0.059863
peony	0.0582048
forbidden	0.0536401
renaissance	0.0502844
amaryllis	0.0501216
downslide	0.0489502
rebirth	0.0486296
Clinton-Lewinsky	0.0477091
upturn	0.0476198
dawning	0.046765
up-and-down	0.0461761
resurgence	0.0460375
upsurge	0.0460008
vitality	0.0457411
"rapid growth"	0.0457338
vanishing	0.0454873
origami	0.0447376
tulip	0.0438806
tribulation	0.043704
thawing	0.0431616
two-decade	0.0430434
unfolding	0.0429776
overheating	0.0428659
furtherance	0.042848
assimilation	0.0427506
deadend	0.0425887
diffusion	0.0420877
cross-fertilization	0.0419313
rediscovery	0.0418539
Awakening	0.0418347
naturalism	0.0412646
masterwork	0.0411598
post-Soviet	0.0410982
"American Jewish"	0.0408605
composing	0.0408137
Sino-French	0.0406073
"wild West"	0.0404518
hibiscus	0.0403395
slackening	0.0402961
slowing	0.0401691
pervasiveness	0.0400528
))
(blot (desc 3925.46) (sims
blemish	0.129909
blotch	0.113731
blight	0.092063
smudge	0.090959
blip	0.0637497
damper	0.0528856
right-click	0.0520945
decompression	0.0513236
breadwinner	0.0506357
"safety valve"	0.0506237
mete	0.0502228
TRIER	0.0501265
expedient	0.048685
Stamps	0.0480887
anticlimax	0.0467877
hottest	0.0466239
chokehold	0.0446665
dew	0.0445674
stepchild	0.0445619
suction	0.043411
iteration	0.0433839
"push back"	0.0433805
flareup	0.0429039
speck	0.0425132
divot	0.0424175
pleat	0.0418223
rooting	0.0416529
splotch	0.040122
))
(blotch (desc 2223.23) (sims
smudge	0.13671
splotch	0.133256
squiggle	0.126025
blot	0.113731
blemish	0.108186
freckle	0.0924309
welt	0.0917528
fleck	0.0897543
"food coloring"	0.084136
stripes	0.080792
lesion	0.0791348
tint	0.0745924
speck	0.072196
wart	0.0720906
blob	0.0717797
stripe	0.0715907
streamer	0.0707103
"tile roof"	0.0679296
poinsettia	0.066682
pigment	0.0646376
armband	0.0645752
gradation	0.0639613
bandana	0.0631498
carnation	0.0629167
"rubber band"	0.0625846
plume	0.0625393
"feather boa"	0.061424
croaker	0.061273
gunk	0.0610971
"boxing glove"	0.0601963
Sash	0.0585907
goo	0.0577739
underbelly	0.057149
turban	0.0569649
stitching	0.0568002
dab	0.0567514
"stiletto heel"	0.0567412
tricolor	0.0563814
pimple	0.0562142
"storm cloud"	0.0552161
cardigan	0.0549563
"Jeep Cherokee"	0.0546168
"Ford Mustang"	0.0545339
frosting	0.0543898
icing	0.0539813
numeral	0.0537832
linoleum	0.0532264
weevil	0.0527592
splat	0.0526869
"mushroom cloud"	0.052564
Gash	0.0524799
mole	0.0520568
smock	0.051734
"polo shirt"	0.0514833
abalone	0.0513755
lettering	0.0512828
impatiens	0.0512057
"Honda Civic"	0.0510024
"slip of paper"	0.0508153
smooch	0.050225
pajamas	0.0500387
"cowboy hat"	0.049833
gibberish	0.0497849
parachutist	0.0495079
poodle	0.0494084
"nail polish"	0.0493875
bustier	0.049156
bunting	0.0488427
"M&AMP;M"	0.0488041
tights	0.0485348
mitten	0.0483767
Sari	0.048368
"mink coat"	0.0482065
suspender	0.047859
fedora	0.0473131
rectangle	0.0472142
"hot pants"	0.0468606
"beam of light"	0.0468005
headband	0.0467126
"Ford Explorer"	0.0464919
jumpsuit	0.0462354
"Lincoln Town Car"	0.046102
piping	0.0459038
swastika	0.0458695
miso	0.0458106
scrim	0.0456765
bellbottoms	0.0454897
shoelace	0.0454614
"polka dot"	0.0453024
slicker	0.0452945
waistcoat	0.0450215
corduroy	0.0449398
"Star of David"	0.0448323
skullcap	0.0447638
confetti	0.0447499
Formica	0.0446765
vermouth	0.0444056
eyeliner	0.0441074
caftan	0.0441035
sacs	0.0440757
bandanna	0.0440565
nightgown	0.0440157
"pants suit"	0.0439984
"coaxial cable"	0.0439826
amaryllis	0.0439726
indigo	0.0439702
satin	0.0438256
plumage	0.0438119
peppercorn	0.0437379
"piece of cloth"	0.0436739
drapery	0.0433855
"Toyota Corolla"	0.0430992
Play-Doh	0.0427085
"leather jacket"	0.0426966
undershirt	0.0423986
chaise	0.0423536
G-string	0.0422929
shading	0.0422503
"bathing suit"	0.0422016
"bell pepper"	0.0421043
sloop	0.0418098
knapsack	0.0417452
pallor	0.0416739
tress	0.0416475
sweatshirt	0.0414948
coverall	0.0414706
napkin	0.04147
legging	0.041351
mustache	0.0413067
imp	0.0411627
pantsuit	0.0411448
tinge	0.0411142
geranium	0.0409896
"evening gown"	0.0409485
blip	0.0407842
lollipop	0.0407419
marketeers	0.0404454
Kleenex	0.0404379
BOA	0.0404118
beany	0.0403249
"rain cloud"	0.0401981
"man's body"	0.0401419
Bonnet	0.0401146
"dress shirt"	0.0400852
))
(Blount (desc 3809.09) (sims
MacKay	0.0933262
Nesby	0.0886592
Ammiano	0.0805845
Noboa	0.0805254
Harr	0.0769594
Jovanovic	0.076948
Ruehe	0.0752094
Isakson	0.0743233
Robson	0.0741913
Kostunica	0.0736123
Nader	0.0732786
Maloney	0.0732034
Goldwater	0.0727729
Corzine	0.0725427
Boutros-Ghali	0.0716392
Carlin	0.0715604
Hallinan	0.0708407
Olowokandi	0.0708256
Nowitzki	0.0704531
McGovern	0.070425
Mauro	0.0700677
Arias	0.0699797
Vallone	0.0697225
Modell	0.0692898
Nateq-Nouri	0.0688662
Mondale	0.0685849
Ebersol	0.0685594
Nugent	0.0683449
Hagelin	0.0683103
Quayle	0.0680279
Hoddle	0.0677527
Kennelly	0.0675863
Schumer	0.0675189
nance	0.0670619
"Glenn Hoddle"	0.0669283
Arrington	0.0668267
Hartsburg	0.066702
Taft	0.0664307
Dixon	0.0663423
Hoffa	0.0663267
Koehler	0.0662154
Ainge	0.066139
Cato	0.0661068
Treen	0.0660981
Evans	0.0660753
Holdsclaw	0.0660599
Rosenthal	0.0659986
Braswell	0.0656974
Dukakis	0.0649186
FAIRCLOTH	0.0648633
D'Amato	0.064644
Gilmour	0.0643187
Harshbarger	0.0641763
Solis	0.0641612
Strickland	0.0635227
Ritter	0.0632171
Ferraro	0.0628618
Remnick	0.062782
Carter	0.0627353
Verney	0.0626634
Ambrose	0.0626329
Stephenson	0.0626309
Cepeda	0.0626074
Heinrichs	0.0624866
Torricelli	0.0621266
Rais	0.0620762
Fong	0.0618992
Gatling	0.0618737
Madrazo	0.0617842
McMurtry	0.061689
Berenson	0.0614892
Carville	0.0612734
Barrett	0.061237
Gugliotta	0.0612288
Waltrip	0.0611988
Mullin	0.0608423
Carnahan	0.0608094
Florio	0.0607661
Harrington	0.0605448
Ftorek	0.0603177
Gutman	0.0602142
Prewitt	0.0601588
Tierney	0.0598865
Blaylock	0.0598792
Hodler	0.0597893
Chung	0.0597775
Krugman	0.0597304
McGreevey	0.0597098
Stoudamire	0.0596393
Woodard	0.0595803
guo	0.0594897
"Sam Wyly"	0.0592882
Wilkins	0.0591507
Bauer	0.0591167
Kaplan	0.0590592
Abdur-Rahim	0.0587922
Alarcon	0.0586996
Soong	0.0583387
Boyle	0.0581549
Nichols	0.058113
Daley	0.0581012
"George Speight"	0.0581
Malu	0.0580636
Jaffe	0.057883
Valenzuela	0.0578517
Brister	0.0578465
Polynice	0.0578272
Laudrup	0.0577641
Cink	0.0577627
Leyland	0.0576777
Elie	0.0576435
Whipple	0.057582
Katz	0.057581
Schell	0.057503
Burks	0.0574555
Alexie	0.0574516
Cheng	0.0574293
Fleischer	0.0574094
Ashcroft	0.0573503
Grbac	0.0573145
Krone	0.0572952
Havelange	0.0572778
Rabe	0.0571478
Kay	0.0571445
Vizcaino	0.0571189
Sebaggala	0.0570406
Golisano	0.0570288
Myhrvold	0.0568091
"Al Fayed"	0.0567523
Tomey	0.0567374
DERSHOWITZ	0.0564798
McLaughlin	0.0564506
Carey	0.056351
Ferguson	0.056349
Beatty	0.0563398
Locke	0.0562514
Woodson	0.0561674
Spitzer	0.0560576
Vacco	0.0560018
Weisman	0.0559932
Kincaid	0.0556312
Alatas	0.0555963
Cowan	0.0555101
Healy	0.0554655
"Rex Chapman"	0.0554167
Kaczynski	0.055399
Rosenberg	0.0551562
Faulk	0.0551171
Ciampi	0.0550941
Joklik	0.0550474
Labastida	0.0550463
Lungren	0.0550381
Dele	0.0550268
Pegram	0.0550208
Schmid	0.0549127
Nicholson	0.0547595
booker	0.0547294
Weiner	0.0546962
Ouattara	0.0545887
"Ross Perot"	0.0545738
Blackmun	0.0545577
Salazar	0.054492
Meyers	0.054452
"Ward Connerly"	0.0542989
Baba	0.0542241
Preston	0.05417
Engel	0.0541395
Moscoso	0.0540384
Lafontaine	0.0539938
Esposito	0.0538545
Underwood	0.053833
Slade	0.053798
Gephardt	0.0537405
Shays-Meehan	0.0537001
Katsav	0.0536926
Torres	0.0536757
Osborne	0.0536638
"Steve Forbes"	0.0536612
Vinatieri	0.0536485
Forbes	0.0535868
Calloway	0.0535839
Owens	0.053502
"Orel Hershiser"	0.0533859
Dodik	0.0533799
Hirsch	0.0533766
Kukoc	0.0533511
Crawford	0.0531417
Rahal	0.0530949
Baines	0.0530427
Salas	0.0530295
Berg	0.0529602
McDonald	0.0529134
Yount	0.0529048
Longley	0.05289
Laettner	0.0528555
Geiger	0.052844
Neff	0.0528316
Stephanopoulos	0.052802
Nasrallah	0.0527489
Yavlinsky	0.0527427
))
(blouse (desc 17240.7) (sims
skirt	0.261807
sweater	0.261213
shirt	0.24464
dress	0.235128
jacket	0.234414
turtleneck	0.226355
cardigan	0.219393
pullover	0.21547
trouser	0.215279
pant	0.204046
"evening gown"	0.199101
"polo shirt"	0.196886
gown	0.196606
tunic	0.194948
vest	0.194629
scarf	0.189544
camisole	0.188199
"leather jacket"	0.185983
"dress shirt"	0.185299
sweatshirt	0.179998
chiffon	0.176115
"sport shirt"	0.172248
T-shirt	0.171008
jean	0.170983
coat	0.16574
trousers	0.163707
bodice	0.163175
shawl	0.161692
"cocktail dress"	0.160466
petticoat	0.155807
sandal	0.15403
miniskirts	0.151924
khaki	0.149755
slack	0.149465
"pants suit"	0.149267
Poncho	0.145221
pants	0.143797
robe	0.143432
sneaker	0.142086
sock	0.142032
bra	0.141176
sheath	0.140162
jumpsuit	0.140098
pantsuit	0.139554
loafer	0.139295
"evening dress"	0.138229
raincoat	0.136743
"sports jacket"	0.136047
nightgown	0.135984
"blue jean"	0.135359
bandanna	0.134047
satin	0.133798
hat	0.133149
halter	0.13294
shoe	0.131606
sarong	0.131498
boot	0.131209
bustier	0.130846
bellbottoms	0.127904
"hot pants"	0.127199
suit	0.127068
"straw hat"	0.127025
waistcoat	0.126896
windbreaker	0.126737
anorak	0.126455
bikini	0.126382
blazer	0.126239
Pantsuits	0.125799
"tennis shoe"	0.125495
necktie	0.124658
"cowboy boot"	0.123994
underwear	0.123443
capris	0.123143
corset	0.122624
"baseball cap"	0.122602
tights	0.122408
"ball gown"	0.122268
undershirt	0.122233
kimono	0.121508
shorts	0.121077
turban	0.120905
parka	0.120831
slacks	0.11979
Sari	0.118195
suspender	0.116651
collar	0.116544
apron	0.115484
miniskirt	0.115355
velvet	0.115072
"top hat"	0.114319
beret	0.114217
caftan	0.113266
legging	0.113146
Outfit	0.11297
pajama	0.112842
"cowboy hat"	0.112641
tuxedo	0.11234
"sweat pants"	0.112108
wig	0.111353
"bow tie"	0.110684
headband	0.110028
bluejeans	0.108084
handbag	0.107321
jersey	0.106998
tablecloth	0.106687
frock	0.106068
slipper	0.105839
sleeve	0.105169
corduroy	0.104821
denim	0.104752
ruffle	0.104127
smock	0.103619
panty	0.103298
overcoat	0.102196
sunglasses	0.101493
bandana	0.101254
"business suit"	0.100254
"bathing suit"	0.100023
lipstick	0.0998337
stocking	0.0997435
fabric	0.0996455
"trench coat"	0.0995327
silk	0.0989538
cloth	0.0980486
neckline	0.0945402
headdress	0.0944106
"running shoe"	0.0933915
swimsuit	0.0929056
fedora	0.0928442
pantyhose	0.0923702
taffeta	0.0913816
embroidery	0.0908856
pigtail	0.0906201
tulle	0.0898861
leotards	0.0889816
hair	0.0889734
leather	0.0881802
organza	0.0877222
lingerie	0.0876538
linen	0.0872337
lace	0.0870834
bathrobe	0.0866141
earring	0.0864712
"evening bag"	0.0858139
tweed	0.0855515
moccasin	0.0855347
"stiletto heel"	0.0849017
Clothing	0.0847416
Chino	0.0845244
handkerchief	0.0844659
uniform	0.0842019
suede	0.084016
"hard hat"	0.0836154
"fur coat"	0.0834696
underpants	0.0824246
sportswear	0.0822998
cap	0.0818346
sequin	0.081819
"nail polish"	0.0817503
flannel	0.0811185
"feather boa"	0.0809404
"black tie"	0.0802182
Bonnet	0.080039
Thong	0.0794001
hem	0.0793742
"mink coat"	0.0790086
curtain	0.078924
Cape	0.0787447
necklace	0.0786858
veil	0.0786353
pillowcase	0.0786061
BOA	0.0782565
helmet	0.0781943
fur	0.0777815
loincloth	0.0772843
Sash	0.0772192
pajamas	0.0770244
kilt	0.076895
glove	0.0764848
costume	0.076167
brassiere	0.0757765
cuff	0.0757703
heel	0.0756854
choker	0.0754759
pastel	0.0751726
hosiery	0.0747949
ribbon	0.0743061
pillow	0.0738692
plaid	0.0734222
"bowler hat"	0.0734066
stole	0.0729435
Beard	0.0725969
garment	0.0725495
bedspread	0.0724198
mule	0.0720302
"wedding gown"	0.0719744
purple	0.0715222
gauze	0.0714422
garb	0.0711237
spandex	0.0704721
))
(blow (desc 63866.1) (sims
setback	0.166798
boost	0.104917
embarrassment	0.102784
punch	0.102615
shock	0.0984415
slap	0.0941898
defeat	0.0863087
jolt	0.0858542
insult	0.0846002
disappointment	0.0840852
threat	0.0839492
rebuke	0.0824089
challenge	0.0823817
wound	0.0822193
affront	0.0788777
trauma	0.0788668
mistake	0.0787207
damage	0.0776556
loss	0.0772714
boon	0.0767379
impediment	0.0759857
"turning point"	0.0755229
latest	0.0747019
injury	0.0742358
blast	0.0739799
surprise	0.0736942
obstacle	0.0735696
disaster	0.0721538
gunshot	0.0716023
attack	0.0713526
indication	0.0705976
reminder	0.0705575
impetus	0.0692793
consequence	0.0692448
warning	0.0664886
shot	0.0664275
bruise	0.066409
tragedy	0.0663221
uppercut	0.066035
harm	0.0659975
impact	0.0657219
victory	0.0649587
assault	0.0648284
news	0.064295
response	0.0641212
jab	0.0631644
reference	0.0630958
casualty	0.0624646
key	0.06224
humiliation	0.0618042
blunder	0.06122
accident	0.0611937
violation	0.0611709
distraction	0.06117
offensive	0.0608226
twist	0.0607237
catastrophe	0.0604766
signal	0.0604625
earthquake	0.0603669
reaction	0.06028
kick	0.0602496
"first step"	0.0601111
contribution	0.0599375
step	0.0598092
blessing	0.0597296
attempt	0.0593312
act	0.0590705
vindication	0.0588632
rejection	0.0583607
milestone	0.0583431
problem	0.0582381
shocker	0.0582147
repercussion	0.0581554
provocation	0.0580604
burden	0.0580202
concussion	0.057967
backlash	0.057967
incident	0.0579385
failure	0.0575949
bullet	0.0575821
"heart attack"	0.0574447
disruption	0.0571536
bump	0.0570648
foul	0.0568665
repudiation	0.056824
message	0.0567985
beating	0.0561751
reversal	0.0561532
bite	0.0561232
"stumbling block"	0.0560545
punishment	0.0560117
"olive branch"	0.0560079
shift	0.0559629
alternative	0.0558457
commitment	0.0555502
indignity	0.0555478
Quake	0.0555159
catalyst	0.0555017
worst	0.0551771
concession	0.0550166
contrary	0.0549935
stroke	0.0549198
fallout	0.0546722
"home run"	0.0544337
"black eye"	0.0544271
prelude	0.0543451
pitch	0.0542308
defection	0.0541643
gaffe	0.0539596
hardship	0.0539268
testament	0.0537134
pain	0.0535973
effect	0.0534588
aberration	0.0533554
factor	0.0532884
Collision	0.0530647
letdown	0.0530433
revelation	0.0529719
breach	0.052947
error	0.0528847
tornado	0.0528362
resistance	0.0526951
ploy	0.0526797
example	0.0524058
explosion	0.0523564
attention	0.0521391
headache	0.052139
gesture	0.051862
breakthrough	0.0518139
mishap	0.0517414
collapse	0.0516206
Typhoon	0.0515662
stimulus	0.051503
hook	0.0513763
bomb	0.0511398
miscalculation	0.050806
calamity	0.0507836
onslaught	0.0505853
ultimatum	0.0505657
triumph	0.0504861
misstep	0.0504541
wave	0.0504204
measure	0.0503052
culmination	0.0502833
homer	0.0501661
counterattack	0.0501524
storm	0.0500613
temblor	0.0500577
hindrance	0.0500118
overdose	0.0498984
decision	0.049691
lesson	0.0494023
anathema	0.0493458
capitulation	0.0493309
tactic	0.0490845
action	0.0490728
retaliation	0.0490502
appeal	0.048999
letter	0.0489179
stress	0.0488888
hurricane	0.0488709
disgrace	0.0488687
protest	0.0488579
overture	0.04885
fracture	0.0487927
hurdle	0.0486763
deterrent	0.0486523
crisis	0.0485972
coup	0.0485964
abuse	0.0485782
addition	0.0485503
disadvantage	0.0484575
chance	0.0483983
snowstorm	0.0483967
injustice	0.0483795
scare	0.0483296
barrage	0.0482325
tremor	0.048056
aftershock	0.0479011
thing	0.047853
strain	0.0478059
aggression	0.0478029
tribute	0.0476725
outcome	0.047671
nightmare	0.0476547
"financial loss"	0.0472397
evidence	0.0471831
exposure	0.0470853
essential	0.0467189
battle	0.0464774
complication	0.0464624
coincidence	0.0464217
contrast	0.046411
anomaly	0.046358
allegiance	0.0463305
proof	0.046324
penalty	0.0462164
opposition	0.0462116
drought	0.0461457
turnabout	0.0461013
))
(blower (desc 5181.95) (sims
"lawn mower"	0.0970974
"vacuum cleaner"	0.0772955
mower	0.0759457
trimmer	0.0744451
Auger	0.0699289
"chain saw"	0.0689767
generator	0.0638756
"water pump"	0.0630244
"power tool"	0.0580987
winch	0.057636
motor	0.0571023
whistleblower	0.056535
stove	0.0562499
air-conditioner	0.0555555
conditioner	0.0540172
duct	0.0540034
dishwasher	0.0538869
appliance	0.0514072
purifier	0.0512726
sunroof	0.0511787
"golf cart"	0.0499846
"Warren Morris"	0.0489135
insulator	0.0478697
chainsaw	0.0478413
"Matt Franco"	0.0475114
scooter	0.0471982
broom	0.0471257
"heating system"	0.046822
washer	0.0465715
backhoe	0.0462713
bulldozer	0.0456191
hose	0.0454486
shredders	0.0453788
skylight	0.0453654
two-by-four	0.0452801
"ventilation system"	0.0452699
"oil lamp"	0.0452481
"space heater"	0.0448116
compressor	0.0443927
"small boat"	0.0442717
toaster	0.0437528
"water heater"	0.042403
furnace	0.0422995
"sliding door"	0.041931
vibrator	0.0418509
"David Ortiz"	0.0417918
"Derrek Lee"	0.0417789
jackhammer	0.0415747
"household appliance"	0.0415676
screwdriver	0.0415615
grinder	0.0412235
cockfighting	0.0411804
turbine	0.0411193
mixer	0.0410691
heater	0.040829
CFCs	0.0407627
"American Andre Agassi"	0.0407519
"coffee maker"	0.0406527
"Erubiel Durazo"	0.0405656
"can opener"	0.0405234
supercomputers	0.0405128
cutter	0.0404732
"Carlos Febles"	0.0402123
))
(blowfish (desc 1490.78) (sims
"Dave Matthews Band"	0.100428
"Faith Hill"	0.0825699
"Dave Matthews"	0.0779909
"Reba McEntire"	0.0747462
"Dixie Chicks"	0.0745455
"Boston Pops"	0.0733512
"LeAnn Rimes"	0.0729121
U@	0.0712378
"Melissa Etheridge"	0.070748
"Garth Brooks"	0.0648895
RSA	0.0640311
"Vince Gill"	0.0628624
Phish	0.0605814
"Herbie Hancock"	0.0591864
"Shania Twain"	0.0591596
Metallica	0.0586907
"Tina Turner"	0.0573142
"Sugar Ray"	0.0571122
"Pearl Jam"	0.0560779
Eurythmics	0.0560426
McLachlan	0.0554507
"Tim McGraw"	0.0553524
"Emmylou Harris"	0.054747
Twain	0.0542884
"Lauryn Hill"	0.0536053
"Neil Young"	0.0530596
aftermarket	0.0524513
"Marx Brothers"	0.0523137
"Sidney Poitier"	0.0517644
"Natalie Cole"	0.0516699
"John Mellencamp"	0.0506155
Profiler	0.0493034
"Aretha Franklin"	0.0492099
"Judy Garland"	0.0491195
"Muddy Waters"	0.0488763
"Rolling Stones"	0.0485308
"William Shatner"	0.0479961
Blondie	0.0473424
"Boston Symphony"	0.0462933
"Jack Benny"	0.0461912
mastodon	0.0460199
"Alanis Morissette"	0.0459137
"Elton John"	0.0458196
"Mariah Carey"	0.0452943
"Luther Vandross"	0.0451344
"Bob Fosse"	0.0451302
Cher	0.0448412
"George Strait"	0.0445861
"Celine Dion"	0.0442512
"Barenaked Ladies"	0.0441978
Ulrich	0.0433513
O'Reilly	0.0432796
"Smashing Pumpkins"	0.0428485
"Diana Ross"	0.0425139
Springsteen	0.04216
"Edward R. Murrow"	0.042033
"Sarah McLachlan"	0.0419715
"Benny Goodman"	0.0419659
"Barbra Streisand"	0.0418585
"Bruce Springsteen"	0.0416365
"Little Richard"	0.0413214
"Grateful Dead"	0.0412187
Bjork	0.0411703
Ferraris	0.0411365
"Erykah Badu"	0.0408739
"belly dancer"	0.0408041
"Chrissie Hynde"	0.0401557
))
(blowhard (desc 1164.5) (sims
pixie	0.0823114
froth	0.0662267
"Phil Donahue"	0.0621305
know-it-all	0.0601287
twit	0.058131
"TV commentator"	0.0571997
"Don Imus"	0.0502043
"Mandy Patinkin"	0.0486376
"Laura Schlessinger"	0.0481823
"Jenny Jones"	0.0476104
baseliner	0.0448373
policymaker	0.0447184
"Rush Limbaugh"	0.0446152
biomass	0.0442798
nitwit	0.0437324
similiar	0.0433618
folkways	0.0432165
thespian	0.042503
fixer	0.0421506
womanizer	0.0415416
"Geraldo Rivera"	0.0412147
"broadcasting company"	0.0405107
))
(Blown (desc 1440.65) (sims
ATX	0.100234
Pirelli	0.0849396
backdoor	0.0795587
Franco-German	0.0766067
two-point	0.0746745
fastbreak	0.0745866
V@@	0.0726927
special-teams	0.0679896
third-down	0.0643917
Cummins	0.0642362
Bridgestone/Firestone	0.0638055
fourth-down	0.0632868
Broaddrick	0.0579871
perigee	0.057671
IDD	0.0564259
"another @.@ million"	0.0548548
four-point	0.0544205
one-minute	0.0535242
O'Neal's	0.0532904
Google	0.0522516
idling	0.0521781
rubbing	0.0517754
"theater ticket"	0.0516811
V-@@	0.051126
aero	0.0509202
SOS	0.0498834
three-point	0.0492944
seven-minute	0.0491527
videophone	0.0490059
Inline	0.0471645
fourth-and-@	0.0469918
Bridgestone	0.0468693
turboprop	0.046701
three-minute	0.0458894
headhunter	0.0450126
mating	0.0442637
quorum	0.0440566
linesman	0.0437849
MSF	0.0431612
"Hail Mary"	0.0428697
pickoff	0.0428483
wraparound	0.0428243
nine-point	0.0428193
umpiring	0.042672
scattershot	0.042276
third-and-@	0.041472
telemarketing	0.0411551
seven-point	0.0411206
one-point	0.0410571
"first Head"	0.0408768
"trillion dollars"	0.040429
"three to four"	0.0403692
"night time"	0.0400763
))
(blowout (desc 16267.7) (sims
rout	0.133347
thrashing	0.0883057
drubbing	0.086419
"playoff game"	0.0832108
wipeout	0.0783766
bloodbath	0.0781236
catastrophe	0.0781235
letdown	0.0756524
shutout	0.0750558
showdown	0.073243
meltdown	0.072402
slugfest	0.0707648
debacle	0.0699304
opener	0.0695639
landslide	0.0695147
spurt	0.0676165
"Game @"	0.0665037
outage	0.0657173
clincher	0.0656679
"rate rise"	0.0654795
"road game"	0.0649688
"second overtime"	0.0649282
setback	0.0649095
shocker	0.0648307
disaster	0.0644885
"exhibition game"	0.0640057
comeback	0.063927
foul-up	0.063195
matchup	0.062585
turnaround	0.0618695
temblor	0.0610078
"market correction"	0.0605304
whipping	0.0604068
breakdown	0.0603777
surge	0.0603172
breakout	0.0603089
deficit	0.0601294
gaffe	0.0598657
"home game"	0.0597865
fiasco	0.0597442
rainout	0.0595615
shutdown	0.0595149
scrimmage	0.0593663
"brain drain"	0.0590774
calamity	0.058681
"bear market"	0.0585008
triumph	0.05845
doubleheader	0.0579349
outing	0.0576796
finale	0.0576141
miscarriage	0.0573467
deterioration	0.057267
embarrassment	0.057166
tragedy	0.0570855
romp	0.056679
flare-up	0.0565777
snafu	0.0562694
blackout	0.056172
shootout	0.0559577
upturn	0.0556742
sell-off	0.0555434
sellout	0.0554964
eruption	0.0553845
playoff	0.0553771
"away game"	0.0550954
upsets	0.0549644
"fatal accident"	0.0547256
reversal	0.0545701
shortfall	0.0540522
conflagration	0.0538109
explosion	0.0537869
outburst	0.0537051
derailment	0.0536323
gridlock	0.0535715
knockout	0.0535221
downturn	0.0535036
slippage	0.0534575
mishap	0.0528378
reunion	0.0526172
"Subway Series"	0.0524666
"close call"	0.0523151
"Super Bowl"	0.0520861
"power failure"	0.0518397
pileup	0.0518083
"bank failure"	0.0517193
elimination	0.051624
"cold spell"	0.051594
"big game"	0.0515313
selloff	0.0514854
contraction	0.0513843
deflation	0.0513586
relapse	0.051193
"rate cut"	0.0511333
brouhaha	0.0511283
homecoming	0.0510958
"work stoppage"	0.0510599
escalation	0.0510377
"ice storm"	0.0510067
stunner	0.0508928
Collision	0.05086
preseason	0.0507979
humiliation	0.0507127
"rate hike"	0.0506153
"triple play"	0.0504799
cakewalk	0.0504658
rematch	0.0503591
"Division Series"	0.0502894
moneymaker	0.0502775
tiebreaker	0.0501962
meltdowns	0.0501481
"night game"	0.0499928
"regulation time"	0.0498865
"heat wave"	0.0495939
spacewalk	0.0495392
coronation	0.0495147
stoppage	0.0494176
apocalypse	0.0492405
"winning streak"	0.0490343
rupture	0.0489869
no-hitter	0.0489571
shakeout	0.0487652
accident	0.0486539
hiccup	0.0486135
malfunction	0.0485255
"nervous breakdown"	0.0483454
tornado	0.0482988
shakeup	0.0482621
mixup	0.0482511
resurgence	0.0481423
slowdown	0.0481249
disruption	0.0480328
brawl	0.0479888
"financial loss"	0.0478399
nightmare	0.0477999
free-for-all	0.0476743
demolition	0.0476033
widening	0.0474337
devaluation	0.0474274
snowstorm	0.0472971
"engine failure"	0.0472863
windfall	0.0472375
"sudden death"	0.0471847
misfire	0.0471716
"extra inning"	0.0471297
"price increase"	0.0470391
crunch	0.0469475
mismatch	0.0468227
deluge	0.0467745
bonanza	0.0467154
Quake	0.0466664
slump	0.0466341
miscalculation	0.0466259
wreck	0.0463466
"World Series"	0.0463324
outbreak	0.0463115
insolvency	0.0462755
drought	0.0461269
melee	0.0461259
confrontation	0.0460881
postseason	0.0460267
cliffhanger	0.0460024
"basketball game"	0.045897
falloff	0.0457496
underdog	0.0457304
stampede	0.0456551
"rate increase"	0.0456157
"baseball game"	0.0455843
"cold snap"	0.0455757
hike	0.0454611
"flash flood"	0.0454572
"Fiesta Bowl"	0.0453807
"traffic jam"	0.0451202
pounding	0.0450591
heartbreaker	0.0450576
narrowing	0.0450314
demise	0.044943
breakthrough	0.0448787
"social event"	0.0447792
oversupply	0.0447278
games.	0.0446152
shakedown	0.0445756
ballgame	0.0445714
breakup	0.0445444
marathon	0.0444946
downpour	0.0444747
streak	0.0443526
glitch	0.0443279
match-up	0.0442569
eyesore	0.0442025
flop	0.0441899
happening	0.0441181
leakage	0.0440869
"sugar bowl"	0.04402
"interest rate increase"	0.0440059
recession	0.0439906
"NBA Finals"	0.0439521
worsening	0.0439331
fluke	0.043837
"earnings disappointment"	0.043821
blunder	0.0437943
))
(blowup (desc 5066.91) (sims
meltdowns	0.0708008
flareup	0.0706921
"market correction"	0.0705259
"fire sale"	0.0657215
slipup	0.0655649
eruption	0.0638427
"margin call"	0.0630249
flare-up	0.0626036
gaffe	0.0617331
dustup	0.0615838
"limited edition"	0.060356
temblor	0.0601848
collage	0.0581969
snafu	0.0563375
printout	0.0560017
"white elephant"	0.0557341
brouhaha	0.0555596
tirade	0.0552952
reproduction	0.0547312
mishap	0.054328
fiasco	0.0539308
"power failure"	0.0535073
meltdown	0.0531939
downturns	0.0523981
fracas	0.0521217
montage	0.0518879
squabble	0.0513498
misstep	0.0509665
blunder	0.050842
run-in	0.0507206
"volcanic eruption"	0.0506692
shakeup	0.049787
upsets	0.0497747
altercation	0.0495585
photocopy	0.049492
"bank failure"	0.0493673
"fatal accident"	0.0492685
letdown	0.0492672
finger-pointing	0.0492512
deluge	0.0491107
firestorm	0.0490308
spat	0.0486869
"management change"	0.0485858
implosion	0.0485336
foul-up	0.048514
wallop	0.0484402
bloodletting	0.048373
selloffs	0.048301
outburst	0.0476092
"mushroom cloud"	0.0475917
bloodbath	0.0471588
trove	0.0468881
"rate hike"	0.0468779
upheaval	0.0466101
melee	0.0458857
flop	0.045211
crises	0.0451293
colloquy	0.0450698
rupture	0.0449787
"dramatic event"	0.044921
"Tyrannosaurus rex"	0.0449098
"change of mind"	0.0448438
hiccup	0.0447862
calamity	0.0444866
cutout	0.0442465
debacle	0.0441582
Momma	0.0441503
anomaly	0.0439527
schism	0.043841
"ownership stake"	0.0436165
"brush fire"	0.0436002
contretemps	0.0435936
flashpoints	0.0435603
conflagration	0.0434452
"guessing game"	0.0434082
"price war"	0.0433578
shocker	0.0432692
fistfight	0.0431671
flurry	0.0431616
"break of serve"	0.0429981
tussle	0.0429668
mixup	0.0428061
"arms race"	0.0424379
lockdown	0.0423324
"monkey wrench"	0.0423253
breakout	0.0423151
Eames	0.0421786
turnoff	0.0421508
SIESTA	0.0418929
shakeout	0.0418925
sell-off	0.0415424
vinyl	0.0415238
drownings	0.0414356
blowout	0.0414097
turnaround	0.0413646
dropoff	0.0412929
crunch	0.0412834
kitschy	0.0412346
tantrum	0.0410498
downdraft	0.0409685
smooch	0.0409396
"close call"	0.0409035
"three pitchers"	0.0408386
revers	0.0408044
"two boxes"	0.0407873
brawl	0.0407544
cataclysm	0.0406317
reversal	0.0406007
"piece of cloth"	0.0405887
snit	0.0405524
meatpackers	0.0405059
"jigsaw puzzle"	0.0403498
"solar flare"	0.0402276
walkout	0.0401701
"Beanie Baby"	0.0401463
"proxy fight"	0.0401314
misconception	0.0400364
))
(blubber (desc 1652) (sims
"animal fat"	0.129652
"raw meat"	0.113188
lard	0.111034
porridge	0.0999002
carcass	0.0793707
offal	0.0782569
"soybean oil"	0.0718051
"dairy product"	0.0715062
grease	0.0678351
jerky	0.0664777
gizzard	0.0622663
mucus	0.0621157
testicle	0.0603978
Teflon	0.0596904
"animal product"	0.0590965
varnish	0.0590717
veggie	0.0585189
"tuna fish"	0.0583289
mulch	0.057327
matzoh	0.0570663
"blood type"	0.0564486
feces	0.0549207
mutton	0.0549038
topsoil	0.0548833
"milk powder"	0.0546694
"french fries"	0.0542137
"fresh food"	0.0540467
macaroni	0.0530542
Chianti	0.0526652
"raw vegetable"	0.0523837
"vegetable soup"	0.0521637
muck	0.0518963
"lima bean"	0.0511907
entrails	0.0508911
"internal organ"	0.0507172
sheetrock	0.0506732
"gefilte fish"	0.0505397
excrement	0.0504381
spaghetti	0.0499606
sashimi	0.0497077
sinew	0.0496434
hotdog	0.0494598
shale	0.0494452
Trident	0.0493581
popsicle	0.0490229
"citrus fruit"	0.0482249
cheesecloth	0.0478583
meringue	0.0474256
gunk	0.0472024
"swing music"	0.0466671
droppings	0.0464107
ism	0.0460562
Pate	0.0458782
"balanced diet"	0.0458095
"steel wool"	0.0457193
"whipped cream"	0.045669
"peanut oil"	0.0456415
megastar	0.0453583
matzo	0.0452956
"freshwater fish"	0.0449395
"fire ant"	0.0444892
"connective tissue"	0.0443421
"wedding cake"	0.0440582
slime	0.0440554
guacamole	0.0440524
"tomato sauce"	0.0440482
cornea	0.0440286
"dog food"	0.0439807
anchovy	0.0437192
pigtail	0.0437109
kelp	0.0433956
"sense of smell"	0.0433487
gauze	0.0430153
gruel	0.0429704
drumstick	0.0429263
visor	0.0426053
thyroid	0.0425974
gob	0.0425183
starch	0.0424966
avocado	0.0421764
saltwater	0.0421292
"powdered milk"	0.0421212
veal	0.0421068
"ground beef"	0.0420723
cellophane	0.041932
donut	0.0418755
"food grain"	0.0418204
spacesuit	0.0416103
rapeseed	0.0415811
icing	0.0415425
"blood cell"	0.0415411
dung	0.0415198
Loin	0.0413249
"sour grapes"	0.040978
marinade	0.0408854
fins	0.0407838
"rain cloud"	0.040729
wrapping	0.0406726
Wheaties	0.0406601
"macaroni and cheese"	0.0401284
))
(blue (desc 83002.4) (sims
purple	0.188219
Pink	0.181908
Yellow	0.180875
red	0.171462
gray	0.14058
color	0.140425
green	0.13514
Orange	0.133189
Jazz	0.130095
white	0.129473
beige	0.127895
bluegrass	0.111267
turquoise	0.111053
black	0.109641
Reggae	0.10199
lavender	0.100194
pastel	0.0984788
khaki	0.0974567
shade	0.0974523
"R&AMP;B"	0.0958263
crimson	0.0940144
rhythm-and-blues	0.0934644
gospel	0.0900707
Brown	0.0887309
hue	0.0880711
pop	0.0872502
shirt	0.0869772
rock	0.0868837
rap	0.0865893
hip-hop	0.0863044
violet	0.0848283
blues	0.0833561
flower	0.081825
jacket	0.0808435
uniform	0.0798629
"country music"	0.0794588
dress	0.0789778
music	0.0778027
tan	0.0760581
silk	0.0751427
Funk	0.0741523
sweater	0.0738614
"St. Louis Blues"	0.0737258
hair	0.0735092
stripe	0.0733761
skirt	0.0730256
fabric	0.0727927
"big band"	0.0724579
blazer	0.0723656
cloth	0.0722043
T-shirt	0.0720788
"black and white"	0.0713838
"rock 'n' roll"	0.0712859
coral	0.0712713
gold	0.0712514
soul	0.0712202
Latin	0.0706029
"classical music"	0.0704626
Song	0.0701064
ribbon	0.0693592
jersey	0.0693451
grey	0.0693303
leather	0.0692385
style	0.0691886
hat	0.0688074
coat	0.0677587
dance	0.067596
silver	0.0670484
robe	0.0667123
light	0.0666417
logo	0.0644811
"folk music"	0.0639938
Burgundy	0.0636891
blouse	0.0634664
flyer	0.0633785
coyote	0.0633602
denim	0.0631509
sabre	0.0631338
jean	0.0629995
paint	0.0629404
rhythm	0.0628744
Amber	0.0627536
costume	0.0627327
pant	0.0627068
Outfit	0.0625233
leaf	0.0623734
"dance music"	0.0621482
tune	0.0621408
flavor	0.0620839
bruin	0.0619567
opera	0.0619506
guitar	0.0617978
star	0.0617546
devil	0.0615885
ballad	0.0615779
sound	0.0614719
oiler	0.061355
glass	0.0612687
peach	0.0611044
velvet	0.0610314
salsa	0.0609136
panther	0.06084
satin	0.0608375
blossom	0.0607715
Canuck	0.0607413
Sky	0.0606587
shoe	0.0596952
plaid	0.0596025
gown	0.0595661
metal	0.0589848
suit	0.0588407
Blackhawks	0.0588359
islander	0.0586871
flag	0.0586149
texture	0.0584631
plastic	0.0584415
print	0.0581742
shark	0.0577056
tone	0.0576291
painting	0.0573996
techno	0.0572482
wood	0.0569141
sun	0.0567892
camouflage	0.0561593
sweatshirt	0.0560684
Canadiens	0.056051
dark	0.0560078
fur	0.0558164
penguin	0.0554201
"blue sky"	0.0551128
design	0.0548801
ranger	0.05461
cream	0.0545458
box	0.0544897
"leather jacket"	0.0544821
folk	0.0544097
disco	0.0542902
classic	0.054229
image	0.0541804
palette	0.0540769
wine	0.0537043
brick	0.0536767
band	0.0536731
"popular music"	0.0535055
picture	0.0532702
angel	0.0530881
pattern	0.0530412
"Red Wings"	0.0530284
eye	0.0529299
Beatles	0.0528873
plum	0.052829
glow	0.0528024
slack	0.0527493
tile	0.0526737
scarf	0.0526128
foliage	0.0525069
neon	0.0523827
tree	0.0521905
character	0.0520216
melody	0.0519749
duck	0.0519592
turtleneck	0.051805
"pop music"	0.0516253
solo	0.0514632
balloon	0.0514438
skin	0.0513189
poetry	0.0513041
cardinal	0.0512323
Clothing	0.0509676
vest	0.0509355
king	0.0509054
piece	0.0507663
rainbow	0.0505907
beauty	0.0503874
MetroStars	0.050084
cap	0.05007
voice	0.049965
furniture	0.0497328
ensemble	0.0497231
grass	0.0496799
rose	0.0496542
beret	0.0495581
movie	0.0493722
art	0.0492631
banner	0.0491724
sculpture	0.0491602
comedy	0.0490478
cloud	0.0490146
Irish	0.0489516
dot	0.0489008
ivory	0.0488147
lantern	0.0487698
Celtic	0.0486404
boot	0.048463
accent	0.0483188
stone	0.0482701
smile	0.0482561
pigment	0.048087
poster	0.0480268
cowboy	0.0479792
))
("blue angel" (desc 1467.01) (sims
"Korean Air"	0.162794
"China Airlines"	0.147178
USAir	0.13903
"U.S. Air Force"	0.12357
Mig	0.118931
"Thai Airways"	0.115461
"Royal Air Force"	0.113975
"Ethiopian Airlines"	0.11306
airforce	0.107212
"Alaska Airlines"	0.104373
"Cathay Pacific Airways"	0.1033
"Eastern Airlines"	0.102952
"Kenya Airways"	0.102784
Harrier	0.101444
"Airbus @@@"	0.0997543
"Air Force Reserve"	0.099087
Comair	0.0988147
EgyptAir	0.0983464
IAF	0.097688
Learjet	0.0967806
"Marine Corps"	0.0949837
Cathay	0.0943532
turboprop	0.0942323
"musical group"	0.0927994
"Gulf Air"	0.092215
RAF	0.0918765
Prowler	0.091155
TU-@@@	0.0910256
"Indian Airlines"	0.0907692
"American plane"	0.0903009
"Air India"	0.0883351
"Air National Guard"	0.0880354
A-@	0.0869554
JetBlue	0.0866726
"Indian Air Force"	0.0857884
Fedex	0.0838742
"Vietnam Airlines"	0.0838434
Rashomon	0.0833484
"Air Canada"	0.0830068
MiG-@@	0.0813911
Clockwork	0.0809061
Iglesias	0.0807062
T-@@	0.0806823
"United Airlines"	0.0791977
F-@	0.0791071
C-@@	0.078915
Cessna	0.07863
B-@@	0.0785438
Emery	0.0780662
Mountie	0.0777109
"Air France"	0.0774101
Garuda	0.0768119
"Canadian Alliance"	0.0762471
GSS	0.0760778
"Delta Force"	0.075791
"Parent Trap"	0.0751501
"Trans World Airlines"	0.0750693
"Japan Airlines"	0.0744867
B-@	0.0742526
A-@@	0.0737615
Il-@@	0.0737614
"Center Party"	0.0734126
X-@@	0.0731328
squadron	0.0729734
"El Al"	0.0728285
SU-@@	0.0724994
"Turkish Airlines"	0.0724761
Lakas	0.0719742
kamikaze	0.0716096
"Los Angeles Police Department"	0.0703655
warthog	0.0700809
widebody	0.0698227
"American Airlines"	0.0697281
DC-@@	0.0687964
F-@@	0.0683966
INTERFET	0.0682691
"Special Forces"	0.0678418
B-@s	0.0675537
skydiver	0.0675241
"Cathay Pacific"	0.067518
"professional association"	0.067471
thunderbolt	0.0673039
WNBF	0.0668453
tomcat	0.0668067
"Kurdish Workers Party"	0.0667301
"Congressional Black Caucus"	0.0665869
"Rwandan Patriotic Front"	0.0662417
Apache	0.0660229
"electronic warfare"	0.0659242
Swissair	0.0658122
F-@@@	0.0654927
Aeroflot	0.0653219
"Cessna @@@"	0.0646601
"Virgin Atlantic"	0.0645441
"Russian Communist Party"	0.0642491
TWA	0.0637361
"Reno Air"	0.0634936
SDP	0.0634913
"American eagle"	0.0633668
"National Guard"	0.0633598
"Radical Party"	0.0629472
"America West Airlines"	0.0629269
Concorde	0.0628931
"U.S. Army"	0.0628904
"Thomas Crown Affair"	0.0626181
"Philippine Airlines"	0.0624498
"Northwest Airlines"	0.0624203
"Continental Airlines"	0.0621241
"popular front"	0.0619837
"Islamic Jihad"	0.0619259
"Serbian Radical Party"	0.0618572
C-@@@	0.061432
"New Aspiration Party"	0.0613123
blimp	0.0612174
KNU	0.0607272
"Aryan Nations"	0.0603706
Hezb-i-Islami	0.0600898
"City Ballet"	0.0600177
"Royal Shakespeare Company"	0.059957
JAT	0.0598105
Airlines	0.0597137
"Airbus A@@@"	0.0595591
Lear	0.0591149
A@@@-@@@	0.0590733
"Wild Party"	0.0588619
"Airborne Division"	0.0586136
chopper	0.0585689
Germanic	0.0583043
"American Legion"	0.0582937
"Meretz Party"	0.0582322
"Air France Concorde"	0.0582177
"America West"	0.0578759
"Mighty Joe Young"	0.0578721
Lufthansa	0.0578657
"U.S. Navy"	0.0578163
P-@	0.0577474
"South African Airways"	0.0575383
"British Empire"	0.0574836
"Islamic Movement"	0.0573224
Springbok	0.0572863
UPU	0.0572558
"Delta Air Lines"	0.0569639
DAP	0.0563265
"United Democratic Movement"	0.0562052
"Southwest Airlines"	0.0561983
"Election Committee"	0.0559234
DC-@	0.0556191
Amal	0.0555776
Coe	0.0554769
ValuJet	0.0554195
"National Democratic Alliance"	0.0553932
PATA	0.0553547
"Democratic Unionist Party"	0.0552902
"paramilitary organization"	0.0551589
"U.S. Coast Guard"	0.0551457
"British Airways"	0.0549815
Cliburn	0.0548658
"Peony Pavilion"	0.054816
"South Vietnamese"	0.054494
"secret society"	0.0541668
"ballet company"	0.0541364
two-seater	0.0540537
"House Budget Committee"	0.0540461
"Southern Command"	0.0539455
"repertory company"	0.0538281
eco	0.0537658
"roughly @@@"	0.0536839
"House International Relations Committee"	0.0536143
Garvey	0.0535599
"Democratic Alliance"	0.0535457
Qantas	0.0535305
Mensa	0.0535136
"Air China"	0.0534909
Luong	0.0534523
"military drill"	0.0534291
"chamber orchestra"	0.0534032
"Supreme Council"	0.0533677
UMNO	0.0532465
Sabena	0.0532084
"Real IRA"	0.0530929
"American Football League"	0.0530719
IPU	0.0530318
KPA	0.0528066
"Parti Quebecois"	0.0527918
"Shas Party"	0.0527797
eavesdropper	0.0527373
"South African National Defense Force"	0.0527179
AMR	0.0526678
"De Soto"	0.0525017
Hercules	0.0524486
"jazz band"	0.0524313
sorority	0.0523554
government-in-exile	0.0522649
stealth	0.051923
"Next Generation"	0.0518789
AIRTRAN	0.0518567
"football league"	0.0517643
MRTA	0.0517103
F@@	0.051391
Alitalia	0.0512383
))
("blue blood" (desc 1622.91) (sims
"Orthodox Jewish"	0.0832308
non-Jewish	0.0749986
Italian-American	0.0739414
Sephardic	0.0729484
Irish-American	0.0700844
"upper class"	0.0695332
preservationist	0.0673546
Brahmin	0.0667734
techie	0.0654692
DEADBEAT	0.0641357
bloomer	0.0630924
Riady	0.0612744
"Ivy League"	0.0611402
"King Kong"	0.0597883
deejay	0.059708
Stroganoff	0.0580982
"common law"	0.0580084
"paying attention"	0.0574615
Germanic	0.0574219
nobleman	0.0573978
"straight arrow"	0.056167
pressman	0.0556052
"upper crust"	0.0554939
"North African"	0.0551908
newspaperman	0.0551252
headhunter	0.0544562
"Orthodox Christian"	0.0543897
Romanov	0.0543478
Amish	0.0540635
"body armor"	0.0531422
Sunni	0.0531172
Philanderer	0.0529252
"Southern Baptist"	0.0527188
non-Hispanic	0.0523231
soulmate	0.0521624
oilman	0.0521414
oleander	0.0517354
dilettante	0.0516762
Anglo	0.051455
O'Malley	0.0510272
"Irish Catholic"	0.0509244
"working class"	0.0507056
post-Soviet	0.0505267
health-conscious	0.0500615
JACK's	0.0497446
hippie	0.0496731
handicapper	0.0493949
tions	0.0491095
"Wild Man"	0.0489664
Lew	0.0489498
Quaker	0.0487785
"risk taker"	0.0485528
"high society"	0.0483114
"good person"	0.0481765
pro-western	0.0479569
ranching	0.0474529
WASP	0.0474199
Midwesterner	0.0471509
Aggie	0.0471502
egghead	0.0469126
classicist	0.0465845
fixer	0.0465107
Harriet	0.0463004
Middleton	0.0455564
vacationing	0.0451937
picky	0.0451031
Rothschild	0.0449676
Berliner	0.044929
O'Connor's	0.0449011
Bostonian	0.0448482
Abortion-rights	0.0448253
Ivorian	0.0447668
sadist	0.0447611
"old country"	0.0447604
geezer	0.0442769
absinthe	0.0441583
Washingtonian	0.0441063
non-Muslim	0.0437944
Zapruder	0.0437829
Mexican-American	0.0432682
"swing music"	0.0430162
"East Los Angeles"	0.0430068
Soong	0.0429899
nonwhite	0.0429585
world-class	0.0429228
al-Saud	0.0428298
heiress	0.0428216
Bidwill	0.0427245
"Sunni Muslim"	0.0426554
"Bengal tiger"	0.0424618
Rockefeller	0.0422824
over-@@	0.0422503
motoring	0.0421947
Mayan	0.042152
Chinese-American	0.0420837
"Kosovar Albanian"	0.0418844
nigger	0.0415014
hipster	0.0412552
"show business"	0.0412489
"white knight"	0.0412238
Ojai	0.0408875
CPA	0.040835
"big shot"	0.0406906
"old boy"	0.040626
Opry	0.0403731
McCourt	0.0403458
giver	0.0402688
"Old World"	0.040196
"North Carolinian"	0.0401291
"lower class"	0.040085
hawkish	0.0400252
))
("blue cheese" (desc 4433.54) (sims
"goat cheese"	0.239883
FETA	0.229751
"pine nut"	0.210398
cheese	0.184496
"cottage cheese"	0.179522
"sour cream"	0.178777
"red onion"	0.1782
prosciutto	0.175499
walnut	0.167912
raisin	0.167833
pancetta	0.157245
onion	0.157061
parsley	0.155741
"peanut oil"	0.155183
celery	0.150802
vinaigrette	0.149248
cilantro	0.148813
Parmesan	0.144254
"red pepper"	0.143451
"brown sugar"	0.143153
Basil	0.142486
spinach	0.141788
bacon	0.141649
pecan	0.141363
"chicken broth"	0.140835
"beef broth"	0.14057
arugula	0.139294
tomato	0.139256
mayonnaise	0.139118
"tomato sauce"	0.138387
"snow pea"	0.137524
chevre	0.136598
lettuce	0.135517
cucumber	0.135278
chorizo	0.134812
Cheddar	0.133706
almond	0.133592
olive	0.133555
butter	0.133492
mushroom	0.133297
mozzarella	0.132877
"cheddar cheese"	0.132706
cashew	0.131669
"evaporated milk"	0.131565
"lime juice"	0.130726
shallot	0.129668
"pineapple juice"	0.129064
"bean sprout"	0.128973
sausage	0.128198
"whipping cream"	0.128017
Gorgonzola	0.12778
"green onion"	0.127009
dill	0.126378
"maple syrup"	0.125113
"lemon juice"	0.125033
carrot	0.123073
Garlic	0.122406
yogurt	0.121906
"wine vinegar"	0.121161
"heavy cream"	0.120928
fennel	0.120698
pineapple	0.12008
ricotta	0.120043
"chicken stock"	0.119959
crumb	0.119095
zucchini	0.118556
cabbage	0.118127
"cider vinegar"	0.116959
oregano	0.116447
mustard	0.115634
"black bean"	0.114724
ham	0.114552
chive	0.114283
"green pepper"	0.113586
Roquefort	0.11324
"bell pepper"	0.112509
vinegar	0.111884
horseradish	0.11093
buttermilk	0.110684
polenta	0.110454
"black olive"	0.110403
"orange juice"	0.110367
avocado	0.109675
"orange marmalade"	0.109633
pea	0.109387
"beef stock"	0.106667
coconut	0.106583
marshmallow	0.105591
raspberry	0.105303
scallion	0.104985
potato	0.104316
tarragon	0.103866
"shiitake mushroom"	0.103211
"tomato paste"	0.103097
"cream cheese"	0.102328
Cherry	0.102034
pistachio	0.10074
cauliflower	0.100626
macaroni	0.100379
okra	0.0996796
croutons	0.0992861
rosemary	0.098866
artichoke	0.0986556
leek	0.0986416
"milk chocolate"	0.0985055
pesto	0.0984836
thyme	0.0983963
asparagus	0.0980974
watercress	0.0977149
saffron	0.0973279
mesclun	0.0970924
"wild rice"	0.0969758
"olive oil"	0.0968928
hazelnut	0.0965539
apricot	0.0965474
blueberry	0.096286
"skim milk"	0.0949294
caper	0.0945484
"green bean"	0.0943752
"tomato juice"	0.0934362
"coconut milk"	0.0933541
"white wine"	0.0932264
"red wine"	0.093129
brie	0.0920147
herb	0.0919522
salsa	0.0912109
pear	0.0910692
currant	0.0909244
cornbread	0.0907282
"hoisin sauce"	0.0906179
lemon	0.0904556
tofu	0.0900882
noodle	0.0900173
mango	0.0898003
pasta	0.0896544
ginger	0.0894965
honey	0.0889096
marjoram	0.0887542
margarine	0.0886616
"peanut butter"	0.0885574
molasses	0.0877334
chilies	0.0874479
chutney	0.0870549
cider	0.0868188
cream	0.0864845
"soy sauce"	0.086418
broth	0.0863037
florets	0.086217
mint	0.086157
"bay leaf"	0.0859866
salami	0.0858255
"pumpkin seed"	0.0857628
"scrambled egg"	0.0855036
puree	0.0851656
fig	0.0851285
chervil	0.0849262
strawberry	0.0847145
"salad dressing"	0.0846262
half-and-half	0.083875
radish	0.0837538
"foie gras"	0.083637
"whipped cream"	0.083626
"macadamia nut"	0.0835462
panko	0.0834817
mascarpone	0.0832446
RHUBARB	0.0828627
pepper	0.0824879
bean	0.0824158
fraiche	0.0822815
"bok choy"	0.082035
sauce	0.0818367
miso	0.0817581
bread	0.0816659
sherry	0.0813139
lox	0.0810512
"bittersweet chocolate"	0.0808842
cinnamon	0.0807829
seasoning	0.080759
peanut	0.0805618
"egg yolk"	0.0801103
cumin	0.0800327
"smoked salmon"	0.0798615
"Worcestershire sauce"	0.0789599
sugar	0.0788373
eggplant	0.0787722
peach	0.0786314
lentil	0.078554
corn	0.0784905
"fava bean"	0.078402
melon	0.0783195
curd	0.0781573
flour	0.0779217
jelly	0.0776897
Calvados	0.0771552
tortellini	0.0767616
"vanilla ice cream"	0.0765493
toffee	0.0764059
"white rice"	0.0764015
chiles	0.0760262
vanilla	0.076016
))
("blue chip" (desc 21066.3) (sims
"blue-chip stock"	0.258905
blue-chips	0.196002
"technology issue"	0.184297
industrials	0.16087
stock	0.143911
"bond price"	0.14135
Stocks	0.140326
Nikkei	0.140068
"Straits Times Index"	0.135001
index	0.134437
"Hang Seng Index"	0.131454
Dow	0.129443
Bourse	0.125948
"FTSE @@@"	0.125926
scrip	0.122855
"stock market"	0.121571
share	0.121233
"Nikkei Stock Average"	0.1142
Nasdaq	0.114069
"Australian dollar"	0.112706
"Straits Times Industrials Index"	0.109229
"CAC @@"	0.108633
STI	0.10648
BHP	0.104321
"Dow Jones Industrial Average"	0.104289
"Hang Seng"	0.103411
"growth stock"	0.101468
"bond market"	0.101267
"Xetra Dax"	0.101134
"small cap"	0.100907
"News Corp"	0.098693
"futures price"	0.0986126
"Dow Jones"	0.0979084
"Composite Index"	0.0976144
benchmark	0.0965491
DAX	0.0953295
FTSE	0.095111
"Stock Exchange of Thailand"	0.094144
sharemarket	0.092899
Telecom	0.0919287
"market average"	0.0909295
Sensex	0.0898705
"futures market"	0.0898425
indicator	0.0895938
"Commonwealth Bank of Australia"	0.0893968
Composite	0.0880896
"Weighted Price Index"	0.0878551
"Hang Seng China-Affiliated Corporations Index"	0.0875027
"S&AMP;P"	0.0870242
Bovespa	0.0861832
"Hang Seng China Enterprises Index"	0.0855998
Telstra	0.0851531
"National Australia Bank"	0.085108
indices	0.084795
yen	0.0843082
"Commonwealth Bank"	0.0833282
banking	0.0832477
"B share"	0.0828932
"Treasury bond"	0.0825765
Telecoms	0.0814824
"Philippine Stock Exchange Index"	0.0806822
"oil price"	0.0796288
equity	0.0788256
IPC	0.0785246
"Telecom Corp."	0.0782118
sector	0.0776632
"HSBC Holdings"	0.0771974
trading	0.077066
rupiah	0.0764109
"stock exchange"	0.0762836
pivotals	0.0762725
"Industrial Index"	0.0761296
bond	0.0760321
"Karachi Stock Exchange"	0.0758088
bellwether	0.0757183
peso	0.0757059
sub-index	0.075141
"equity market"	0.0750554
"Shanghai Composite Index"	0.0748439
currency	0.0741652
"retail sale"	0.0738053
"Philippine peso"	0.0737241
"Kuwait Stock Exchange"	0.0736821
B-shares	0.0721552
"New Zealand dollar"	0.0720817
"Tokyo Stock Exchange"	0.0708284
"Wall Street"	0.0703418
soybean	0.0700984
"municipal bond"	0.0691786
CAC-@@	0.068894
"mutual fund"	0.0687618
"home sale"	0.068092
"share price"	0.0678838
buying	0.0676769
"aircraft order"	0.0673701
"Rio Tinto"	0.067234
"factory order"	0.0671954
MidCap	0.0660637
CAC	0.066008
FT-SE	0.0651561
cyclicals	0.0648447
IPO	0.0647284
"price index"	0.0646278
rand	0.0639571
ANZ	0.0638472
"consumer price index"	0.0636004
commodity	0.0633585
"Philippine Stock Exchange"	0.0633268
bullion	0.063296
"mortgage rate"	0.0632895
"equity fund"	0.062812
AMP	0.0625009
manufacturing	0.062343
HSI	0.062298
BSE-@@@	0.0620956
"Tokyo Stock Price Index"	0.0615828
baht	0.061523
Banks	0.0610394
"producer price"	0.0608859
selling	0.0607651
"Second Board Index"	0.0604989
"interest rate"	0.060306
sentiment	0.0598891
biotech	0.0596639
"real estate"	0.0593049
"Sensitive Index"	0.0591641
ruble	0.0589554
valuation	0.0589167
brokerage	0.0588765
"New York Stock Exchange"	0.0585822
"truck sale"	0.0582437
"Emas Index"	0.0580256
semiconductor	0.0578226
Intel	0.057819
"SPH @@@"	0.0574833
"bond fund"	0.0573365
STOXX	0.0572721
greenback	0.0571982
HSBC	0.0570461
"unemployment rate"	0.0566974
SPH	0.0562602
utility	0.056257
"futures contract"	0.0560588
"penny stock"	0.0560207
heavyweight	0.0559547
"occupancy rate"	0.0559511
"electronics company"	0.0558404
"foreign exchange market"	0.0557601
Qualcomm	0.0555212
sub-indices	0.0555182
"high technology"	0.0554844
electronics	0.0553363
inflation	0.0550196
"NASDAQ Composite Index"	0.0547939
exporter	0.0546273
Financials	0.0545484
tech	0.0543743
"gas price"	0.054152
Gainer	0.0541279
"labor cost"	0.0539315
component	0.0535044
Euro	0.0534431
decliner	0.0534426
gauge	0.053374
PacCent	0.0532297
profitability	0.0530458
"Singapore dollar"	0.053033
"retail price"	0.0529826
"currency market"	0.0528657
Westpac	0.0526783
"Hang Seng Bank"	0.0526347
"leading indicator"	0.0524366
"junk bond"	0.0523401
rose	0.0522969
"Treasury bill"	0.052231
retail	0.0519762
capitalization	0.0519493
productivity	0.0519384
"vehicle sale"	0.051938
"crude oil"	0.0519305
"about @@ points"	0.0518293
"inflation rate"	0.0517602
pharmaceutical	0.0517538
"exchange rate"	0.0515619
"Standard &AMP; Poor"	0.0515588
REIT	0.0514493
"Fletcher Energy"	0.0512273
"pork belly"	0.0511063
"futures exchange"	0.0509538
confidence	0.0509184
"market share"	0.0507347
Unisys	0.0507002
"investment trust"	0.0506933
telecommunication	0.0505225
volume	0.0505222
"semiconductor maker"	0.0503679
"export sale"	0.050286
multinationals	0.0502444
"key market"	0.0499955
"US dollar"	0.0499715
))
("blue crab" (desc 1247.1) (sims
"horseshoe crab"	0.148103
crab	0.126979
lobster	0.120563
sturgeon	0.10192
"sea cucumber"	0.0988977
scallop	0.0985299
redfish	0.0951554
"Atlantic salmon"	0.0921735
clam	0.0901595
steelhead	0.0867444
shellfish	0.0829985
"sea horse"	0.0806291
"bluefin tuna"	0.0794413
carp	0.0794315
"gray whale"	0.0790722
trout	0.0789932
"Vidalia onion"	0.0780088
mussel	0.077711
oyster	0.0771992
crawfish	0.0759535
striper	0.0754116
abalone	0.0752521
Bighorn	0.0735494
"California wine"	0.0727253
"grizzly bear"	0.0725542
"red snapper"	0.0716744
"monarch butterfly"	0.0715216
Firefly	0.0714153
swordfish	0.0705681
tortoise	0.0704355
"striped bass"	0.0698282
kangaroo	0.0689584
"right whale"	0.0688134
cornbread	0.0683566
dumpling	0.0681181
halibut	0.066325
eel	0.0642635
baboon	0.0641178
otter	0.0640811
armadillo	0.0634882
plantain	0.0627952
"sea otter"	0.0624873
"black bear"	0.0614785
caribou	0.0608513
"coho salmon"	0.0599836
mesclun	0.0598685
coho	0.0598472
conch	0.0593483
"brussels sprout"	0.0591018
"sugar cane"	0.0584795
"minke whale"	0.0579266
squid	0.0578925
seaweed	0.0563165
humpback	0.0560254
"chicken breast"	0.0559452
"white rice"	0.0548764
hippo	0.0546724
chimpanzee	0.0544654
taco	0.0544407
gazelle	0.0542663
elk	0.0542037
"voting age"	0.0539327
herring	0.0534842
mollusk	0.0533502
rodent	0.0532861
vegan	0.0530499
nettle	0.0522095
bison	0.0515843
"wild rice"	0.05154
lynx	0.0510556
watermelon	0.0503307
"Homo sapiens"	0.0500712
squirrel	0.0497623
caviar	0.0497155
"Florida Everglades"	0.0489143
orangutan	0.0487606
yak	0.0486292
cormorant	0.0483659
aphid	0.0481422
"parliamentary democracy"	0.0481004
"polar bear"	0.0477342
"raw meat"	0.0471573
calamari	0.0469736
crustacean	0.0469168
"wild boar"	0.0462425
Marchment	0.0460057
"green bean"	0.0459817
"British people"	0.045861
amphibian	0.0452762
sashimi	0.0450367
moth	0.0449887
waterfowl	0.0449177
"smoked salmon"	0.0444771
crabs	0.0444139
porpoise	0.0440881
zeitgeist	0.0439937
venison	0.0438198
larvae	0.0437977
octopus	0.043796
Frisbee	0.0436611
veggie	0.0434992
prawn	0.0434074
Ftorek	0.0433399
litchi	0.0432779
"African elephant"	0.0424678
birdbath	0.0424151
snail	0.0423525
shoplifter	0.0422174
koala	0.0421285
"sea turtle"	0.041884
"Sistine Chapel"	0.0418559
anchovy	0.0413974
over-@@	0.041328
illegals	0.0410112
marshmallow	0.0408653
grapefruit	0.0408472
"chicken sandwich"	0.0408122
tilapia	0.0407741
KIMCHI	0.0407738
toad	0.0407079
"Washington Monument"	0.0407022
"Bengal tiger"	0.0406894
boar	0.040655
test-takers	0.0405305
tarpon	0.0404551
bushel	0.0402473
enlistee	0.0401803
Macaque	0.0401633
cheetah	0.0401505
sawdust	0.0400932
))
("Blue Cross" (desc 6881.05) (sims
"United Healthcare"	0.192395
Cigna	0.164048
Pacificare	0.162586
Aetna	0.160112
Humana	0.157355
"Blue Shield"	0.141973
"Aetna U.S. Healthcare"	0.137323
"State Farm"	0.120753
"Harvard Pilgrim"	0.117042
ING	0.115858
"American International Group"	0.108483
"Kaiser Permanente"	0.108382
"Atlantic Richfield Co."	0.107637
"Bankers Trust Corp."	0.1059
"American Association of Health Plans"	0.105759
"Pac Bell"	0.0963742
MetLife	0.0960618
"Texas Department of Public Safety"	0.0949874
"Southwestern Bell"	0.0940215
"Bankers Trust"	0.0928818
"U.S. Trust"	0.0909779
PolyGram	0.0899722
"Koch Industries"	0.0899528
"Con Edison"	0.0894557
HMO	0.0891565
"R.J Reynolds"	0.0883563
AHP	0.0877945
Bridgestone/Firestone	0.0874018
"Mobil Corp."	0.0873727
prudential	0.0873643
"Planned Parenthood"	0.0868772
"Aetna Inc."	0.0864828
Generali	0.0862715
Kaiser	0.0857632
Allstate	0.0855679
"Harvard Pilgrim Health Care"	0.0845529
WELLPOINT	0.0845021
Swissair	0.0838289
"Georgia Power"	0.0836322
"U S West"	0.0826246
Litton	0.082425
Texaco	0.0823527
SmithKline	0.0817241
Hancock	0.081179
Overnite	0.0811683
MCI	0.0811382
NatWest	0.0799234
"America West"	0.0798326
Bestfoods	0.0790535
"Coca-Cola Enterprises"	0.0787904
Mobil	0.0787172
"Bell Atlantic"	0.0784626
"CBS Sports"	0.0784405
TCI	0.0781036
Wyeth-Ayerst	0.0780971
"Eastern District"	0.0775172
"Department of Public Safety"	0.0773957
"Department of Corrections"	0.0770237
"Digital Equipment Corp."	0.0769974
"Park Service"	0.0769328
"Salt Lake Organizing Committee"	0.0767828
GTE	0.0766538
Warner-Lambert	0.0763637
"American Lung Association"	0.0760074
Avondale	0.0759452
"insurance company"	0.0753431
"Turner Broadcasting"	0.0752487
"health maintenance organization"	0.0751855
"Con Ed"	0.0750646
"Columbia Pictures"	0.0749552
Mediaone	0.0749217
"Sprint PCS"	0.0746029
"Sprint Corp."	0.0744274
"Atlantic Richfield"	0.0743211
"Network Solutions"	0.0743092
"CBS Corp."	0.074206
"Pacific Bell"	0.0740928
"Lockheed Martin"	0.0736545
Lockheed	0.0736184
"Times Mirror Co."	0.0734857
Fedex	0.0734535
ARCO	0.0734484
CCA	0.0733355
"Philip Morris"	0.0733262
Amoco	0.0732074
Monsanto	0.0732051
AIG	0.0730236
TYCO	0.0728695
RJR	0.0726902
Yukos	0.0726162
Allianz	0.0724661
MindSpring	0.072422
"Sara Lee"	0.0722922
"Justice Ministry"	0.0721487
"McDonnell Douglas"	0.0720196
Comsat	0.0717422
"Gulf Air"	0.0714815
"U.S. Forest Service"	0.0714722
insurer	0.0709789
"Tele-Communications Inc."	0.0709139
Ameritech	0.0708449
"Monsanto Co."	0.0706102
"Lotus Development Corp."	0.0705232
"Ameritech Corp."	0.0702056
"American Petroleum Institute"	0.0698622
FPL	0.0698442
ACLU	0.0693733
"US West"	0.0692251
"Freedom Forum"	0.0691905
"U.S. Immigration and Naturalization Service"	0.0691897
YankeeNets	0.0691676
"American Home"	0.0691288
"Time Warner"	0.0691156
DirecTV	0.0689369
"Smith &AMP; Wesson"	0.0686116
"Chronicle Publishing"	0.0684
ENTERGY	0.0682776
"Bay Networks"	0.0682041
"Nature Conservancy"	0.0680944
"Department of Environmental Protection"	0.0680102
"America West Airlines"	0.0679815
"Catholic Charities"	0.0679736
"American Airlines"	0.0678242
"Prudential Insurance Co."	0.0673424
Eximbank	0.0673235
Mastercard	0.0672093
"Defense Agency"	0.0671818
GANNETT	0.0670792
"Pacific Lumber"	0.0669974
"Wells Fargo"	0.0668646
"Beth Israel"	0.0666817
"Bear Stearns"	0.0666238
"BankBoston Corp."	0.0663892
"Air Canada"	0.0662757
brokerage	0.0659442
SFX	0.0658321
"Time Inc."	0.0655125
PRIMESTAR	0.0655081
CCB	0.0654723
"Federal Express"	0.0654078
Lorillard	0.0651127
Citibank	0.0651053
"Housing Authority"	0.0650373
SLOC	0.0650216
adidas	0.0650155
"Brown &AMP; Williamson"	0.0649343
"Phelps Dodge"	0.0647652
"National Park Service"	0.0647287
ICBC	0.0647017
Genentech	0.0646111
"National Republican Congressional Committee"	0.0645148
"Chrysler Corp."	0.0643487
"GTE Corp."	0.0643337
"Chevron Corp."	0.0642889
"Northeast Utilities"	0.064052
ATHOME	0.0639262
"Waste Management"	0.063907
GeoCities	0.0639067
"health care provider"	0.0638898
Airtouch	0.0638476
"US Airways"	0.0638288
"Forest Service"	0.0636804
TWA	0.063553
Citicorp	0.0635306
"Fred Meyer"	0.0633157
"Turner Sports"	0.0633109
"Department of Energy"	0.0632172
ADM	0.0630794
"Delta Air Lines"	0.0629858
"Loretta Sanchez"	0.0629367
USEC	0.0629223
"MediaOne Group"	0.0629015
JAL	0.0628523
UAL	0.0628488
AXA	0.0627281
"American Cancer Society"	0.0626892
"Health Department"	0.0626273
EarthLink	0.0626258
"Times Co."	0.0626006
Raytheon	0.0624222
Pairgain	0.0624134
"Y&AMP;R"	0.062331
Compaq	0.0622489
"New York Times Co."	0.062216
UAW	0.0620787
SAFY	0.0620632
"Board of Elections"	0.0619471
"school district"	0.0618281
BankBoston	0.0618169
NASD	0.0616394
"National Marine Fisheries Service"	0.0615674
"Gap Inc."	0.0614721
Lilco	0.0614602
REVLON	0.0613801
Viacom	0.0613393
Lycos	0.0613204
Alltel	0.0611583
"Learning Co."	0.0611019
"French Foreign Ministry"	0.0610496
"Union Carbide"	0.0610213
))
("blue devil" (desc 9583.91) (sims
Boilermakers	0.236598
wildcat	0.206316
Cornhusker	0.203797
Gators	0.199548
Seminoles	0.195816
"Tar Heels"	0.186819
husky	0.185212
Minutemen	0.184493
"Red Storm"	0.18294
buckeye	0.18178
Spartan	0.177047
Sooners	0.176453
Vols	0.172078
bearcat	0.170496
"Nittany Lions"	0.169788
Jayhawks	0.165704
Huskers	0.165142
UConn	0.163786
terrapin	0.163088
Hokies	0.161344
Duke	0.160917
"Golden Hurricane"	0.15955
Aggies	0.155842
Pepperdine	0.152741
bulldog	0.148786
Trojan	0.147664
Sonics	0.147514
Lobos	0.147282
"Michigan State"	0.146248
Longhorn	0.144138
"Crimson Tide"	0.143856
Gonzaga	0.143402
Stephenville	0.142743
"Scarlet Knights"	0.142575
Razorback	0.141589
bruin	0.141462
Purdue	0.141429
"Trail Blazers"	0.141105
Wolfpack	0.139371
cougar	0.139128
Hawkeyes	0.138215
"Ohio State"	0.136108
Wolverine	0.136022
RedHawks	0.135828
matador	0.13447
"Iowa State"	0.134104
"Horned Frogs"	0.133337
"Kansas State"	0.130348
UCLA	0.128427
"yellow jacket"	0.126799
pacer	0.126586
badger	0.126374
TCU	0.12522
"Red Raiders"	0.124992
"Georgia Southern"	0.123937
Hornet	0.12367
LSU	0.12312
"Southwest Missouri State"	0.122711
MetroStars	0.122601
ASU	0.122393
gamecock	0.122026
"Red Wings"	0.120746
OSU	0.120023
"Florida State"	0.119625
"Penn State"	0.119566
Celtics	0.119124
Timberwolves	0.117892
Terps	0.117219
BYU	0.116105
Hoosier	0.116093
Springbok	0.115437
bronco	0.115063
Knicks	0.114626
Cavs	0.113557
Orangemen	0.113517
Stanford	0.113339
piston	0.112512
BEARS	0.112375
Lakers	0.112213
"Colorado State"	0.110978
Sparks	0.110837
"Virginia Tech"	0.11038
sixer	0.110374
"Seton Hall"	0.110089
blazer	0.109712
UMass	0.109622
Buffaloes	0.108864
NAU	0.108555
Eagles	0.108525
USC	0.107893
spur	0.10776
grizzly	0.107448
CSUN	0.107284
Xavier	0.106649
Bucs	0.106157
Seles	0.10602
Agassi	0.105786
Hofstra	0.105737
Rutgers	0.105361
"Maple Leafs"	0.104978
"Louisiana Tech"	0.104906
"Fighting Irish"	0.104388
rios	0.103462
"Weber State"	0.103334
Kafelnikov	0.103167
Viking	0.103074
devil	0.102914
Utes	0.102797
"Old Dominion"	0.102321
Hingis	0.102124
"Miami Heat"	0.102034
"Oklahoma State"	0.101666
"Dallas Cowboys"	0.101236
Seahawks	0.100817
cavalier	0.100506
"Texas Tech"	0.10047
Illini	0.100392
"Minnesota Vikings"	0.100348
Ivanisevic	0.0997519
SMU	0.0996357
"Mississippi State"	0.0993929
Hoya	0.0992972
sabre	0.0988589
comet	0.0988462
maverick	0.0988045
Davenport	0.0986711
Tennessee	0.0985256
"Martina Hingis"	0.0983643
Steelers	0.0982201
Blackhawks	0.0974548
"Northern Arizona"	0.0974037
Canuck	0.0972718
owl	0.097129
"St. John"	0.0970253
falcon	0.0965985
"Notre Dame"	0.096401
"Lindsay Davenport"	0.0958101
gopher	0.0956548
K-State	0.0955307
ram	0.095187
Bengals	0.0948845
cardinal	0.0948447
Syracuse	0.0946933
tech	0.0945918
"Team USA"	0.0945534
"Marcelo Rios"	0.0944377
Giants	0.094186
Canadiens	0.093852
BUCCANEER	0.0937645
"Los Angeles Lakers"	0.0935042
Raptor	0.0934431
oiler	0.0934362
Av	0.0932895
Mavs	0.0931791
panther	0.0930723
Redskin	0.0929534
"Indiana Pacers"	0.0927626
Starzz	0.0925497
"Oregon State"	0.0924887
UNT	0.092391
Indiana	0.0918753
"Boston College"	0.0910591
Marquette	0.0909025
"Arizona State"	0.0908189
"N.C. State"	0.0907373
Villanova	0.0906097
"Los Angeles Galaxy"	0.0905565
Nebraska	0.0905449
Inter	0.090517
DePaul	0.0902416
Clemson	0.0899978
Tulsa	0.0897768
UNLV	0.0897028
"Los Angeles Sparks"	0.0896741
Tulane	0.0896158
"St. Louis Rams"	0.0893992
Capriati	0.0892919
ASTROS	0.0890767
Baylor	0.0889432
cyclone	0.0887679
Portland	0.088748
"South African Amanda Coetzer"	0.0887181
hawk	0.0885369
"American Michael Chang"	0.0885075
Cal	0.0884769
bull	0.0883499
Moya	0.0882326
yank	0.0880765
Evansville	0.0878581
Sampras	0.0877428
Connecticut	0.0871535
Novotna	0.086729
"Russian Yevgeny Kafelnikov"	0.08671
"New Jersey Devils"	0.0865249
"North Carolina State"	0.0864661
Auburn	0.0862474
Corretja	0.0862305
AEK	0.0862249
"Philadelphia Flyers"	0.0860585
"San Antonio Spurs"	0.0859936
))
("Blue Dog" (desc 1140.62) (sims
waterlily	0.100079
"Joe Camel"	0.0967973
Edo	0.0953443
multimillion	0.084954
surrealist	0.0837231
Ofili	0.0798536
gouache	0.0794722
center-right	0.0750078
Thirty-one	0.0748987
Downstate	0.0740077
Chagall	0.0722888
"old master"	0.0714525
gerbil	0.0712065
easel	0.0698009
"Norman Rockwell"	0.0695791
watercolor	0.0687142
Heade	0.0683562
Vermeer	0.067869
pre-@@@@	0.0677933
kitschy	0.0667544
pinup	0.066702
Flemish	0.0664539
cherub	0.0662849
"Lethal Weapon"	0.066163
"Last Supper"	0.0660907
tagline	0.065866
"Sistine Chapel"	0.0656801
Louise	0.0654593
seascape	0.065017
O'Keeffe	0.0635845
Cezanne	0.0630064
"Jasper Johns"	0.0628643
Zajedno	0.0624707
self-portraits	0.0618662
Stinson	0.0610407
Mondrian	0.0596403
Delacroix	0.0595198
shamrock	0.0590976
Picassos	0.058759
"New Democrat"	0.0586747
bauhinia	0.0581772
woodcut	0.0576542
"million Dollar"	0.0572953
Renoir	0.0564648
four-week	0.0561901
Lakas-NUCD	0.0560167
"Andy Warhol"	0.0554625
pro-western	0.0554055
"pen pal"	0.0552995
Parrish	0.0543917
"Herri Batasuna"	0.0543823
"van Gogh"	0.0543734
ragtag	0.0540043
"full page"	0.053668
menswear	0.0533445
"Salvador Dali"	0.0529413
"nuclear family"	0.0527649
"grocery bag"	0.0523698
hologram	0.0520547
Grisham	0.0519868
toenail	0.0519103
trellis	0.0517713
"avant garde"	0.0516478
Ottoman	0.0516393
Degas	0.051447
koala	0.0513631
Wyly	0.0511826
Deco	0.0511075
"oil painting"	0.0509823
Spenser	0.0509064
ex-communist	0.0508956
Herges	0.050614
Rothko	0.0505541
Kimball	0.0505397
MacDonald's	0.0503508
pro-business	0.0503328
crossover	0.0502915
"Kung Fu"	0.0497887
Hartley	0.0495551
Rockettes	0.0494209
Levi's	0.0488158
"magnum opus"	0.0482778
exec	0.048114
Bochco	0.0477352
"Democratic Left"	0.0476198
"mirror image"	0.0470815
"body bag"	0.0469633
"almost @ million"	0.0464948
Rembrandt	0.0461098
"David Spade"	0.0461009
"Peter Lynch"	0.0459673
Domino's	0.0458278
Ingres	0.0457289
slasher	0.0456781
"Valentine's Day"	0.0454772
Frankenstein	0.0453747
Rambo	0.0452622
BN	0.0451489
"McCaughey Ross"	0.0450852
"Love Boat"	0.0450558
"Vision @@@@"	0.0450081
Centerfold	0.0449985
Schultz	0.0449724
"Gulf War"	0.0447588
"piece of cloth"	0.0446665
Spiegel	0.0446472
voodoo	0.044511
copywriter	0.044298
birdbath	0.0441644
bullfighting	0.0440893
"Rob Thomas"	0.0439025
heretic	0.0438895
"wide screen"	0.0436449
"limited edition"	0.0436383
quickest	0.043623
led	0.0433366
Icelandic	0.0432242
Heidi	0.0429972
Wyeth	0.0428833
dovish	0.0427426
"line of products"	0.042728
Goya	0.0427189
RNC	0.0427162
INTERFET	0.0426916
Frick	0.0424216
Mulligan	0.0423448
"Ways and Means Committee"	0.0423443
Khmer	0.0422843
LDs	0.0420753
Musgrove	0.0420414
"Virgin Mary"	0.0418966
Coolidge	0.0417492
"tea set"	0.0416923
knuckleball	0.0416828
"fortune cookie"	0.0416382
"Willie Horton"	0.0416241
needlepoint	0.0414612
dragonfly	0.0414338
"Mickey mouse"	0.0413113
"Iron Giant"	0.041218
Bart	0.0408263
Suppan	0.0408017
"Union Jack"	0.0407165
Thirty-five	0.0406985
"spider web"	0.0406573
"Cindy Crawford"	0.0406566
"South Park"	0.0404885
hammock	0.0404299
self-portrait	0.0404099
retro	0.0403171
schlock	0.0402383
"service break"	0.0402139
FEDERALIST	0.0401182
Madeline	0.0401109
FAIRCLOTH	0.0400648
))
("Blue Grass" (desc 2402.56) (sims
"Arkansas Derby"	0.201784
"Florida Derby"	0.195733
"Wood Memorial"	0.189031
Futurity	0.175943
"Santa Anita Derby"	0.172492
Preakness	0.157058
"Louisiana Derby"	0.154366
"Cup Juvenile"	0.144788
"Kentucky Oaks"	0.141738
"Santa Anita Handicap"	0.134585
Travers	0.131032
"Cup Classic"	0.124554
"Jim Dandy"	0.12382
"Dubai World Cup"	0.120506
"Kentucky Derby"	0.119238
"Belmont Stakes"	0.11585
Derby	0.11504
"claiming race"	0.106351
"Pacific Classic"	0.105743
"London Marathon"	0.104545
"Hollywood Gold Cup"	0.100773
"Preakness Stakes"	0.0957249
"Juvenile Fillies"	0.0911862
Belmont	0.0907377
"Big Sky Conference"	0.0895749
"Daytona @@@"	0.0884657
"Gold Cup"	0.0876652
Haskell	0.0873286
distaff	0.0864078
"San Felipe"	0.085931
"Jockey Club Gold Cup"	0.0834247
"Boston Marathon"	0.0831423
Oaks	0.0803603
"Pacific Division"	0.0791053
"New York City Marathon"	0.0786957
"San Rafael"	0.078628
"black-eyed Susan"	0.0764618
"AFC Central"	0.0741315
"AFC West"	0.0731276
"Northeast Division"	0.0708305
"West Regional"	0.0706176
"Big Sky"	0.0692385
"NFC Central"	0.0684153
"Home Run Derby"	0.068084
Dwyer	0.067738
"Le Mans"	0.0655162
"NFC West"	0.0652683
"Indy @@@"	0.0646024
"South Regional"	0.0635065
"Western Open"	0.062994
"Pepsi @@@"	0.0626481
"Brickyard @@@"	0.0620593
"AFC East"	0.0591051
Lexington	0.0588974
"Western Conference"	0.0582501
"Eastern Division"	0.057922
"AL East"	0.0569585
"NL Central"	0.055713
Woodward	0.0551952
CONCACAF	0.0546268
"Buick Invitational"	0.0543471
"Top Fuel"	0.0537297
"SEC East"	0.0529782
"NL West"	0.0528878
Brickyard	0.0525534
"Division I-AA"	0.0524526
"PGA Championship"	0.052411
"spelling bee"	0.0522323
Menifee	0.0520997
stakes	0.0519399
"Buick Classic"	0.0518398
"Japan Open"	0.0514537
nightcap	0.051393
"Emmy Award"	0.0512055
"batting order"	0.0510762
Gotham	0.0510727
NFC	0.0510517
"U.S. Senior Open"	0.0507628
"National Book Award"	0.0503489
backstroke	0.0502982
"Central Division"	0.0501404
"Group B."	0.0499155
"Players Championship"	0.049649
runnings	0.0492238
"Tour Championship"	0.0490618
"long jump"	0.0488727
"first cup"	0.0488281
"East Regional"	0.0487772
"Mastercard Colonial"	0.0487038
Serie	0.0484841
"Champions Cup"	0.0484588
"shot put"	0.0480302
"double gold"	0.047774
"Dinah Shore"	0.0476473
"Cy Young Award"	0.0475088
Sanford	0.0474555
pro-am	0.0473442
ACC	0.0473116
"Western Athletic Conference"	0.0472808
"Canadian Open"	0.0470017
"US Open"	0.0467299
"United States Open"	0.0467128
breaststroke	0.0462683
"Winning Colors"	0.0461305
Heptathlon	0.0459601
"triple crown"	0.0457861
"Funny Car"	0.045771
"Midwest Regional"	0.0457614
"U.S. Amateur"	0.0457522
Heisman	0.0452165
"Donn Handicap"	0.0452095
"Solheim Cup"	0.0451016
"AL Central"	0.0449928
Iditarod	0.0449902
"National League West"	0.043838
Giro	0.0436839
regatta	0.0436572
"Atlantic Division"	0.0436059
"Eclipse Award"	0.0435668
"American League West"	0.0434609
"Heisman Trophy"	0.0434358
"Premier League"	0.0429857
"BellSouth Classic"	0.0428994
"Peter Pan"	0.0428977
Super-G	0.0422988
Keeneland	0.0422324
"World Junior Championships"	0.0422024
"European Champions Cup"	0.0417251
"Gold Glove"	0.0416974
"three-day event"	0.041529
"Grand National"	0.0413286
"Eastern Conference"	0.0412882
WCC	0.0408025
"AL West"	0.0407486
steeplechase	0.0406535
"College World Series"	0.0404717
"Nissan Open"	0.0404638
"about @@ months"	0.0403959
Maurier	0.0402989
"AFC Championship Game"	0.0402903
"Big East"	0.0402382
prologue	0.0401798
"European Cup"	0.0401346
nit	0.0401003
))
("blue jay" (desc 24416.4) (sims
Orioles	0.273424
"Toronto Blue Jays"	0.271957
"White Sox"	0.267077
"devil ray"	0.26345
Phillies	0.260172
"Red Sox"	0.251287
ASTROS	0.245607
cub	0.240311
Padre	0.239549
Royals	0.237119
Mets	0.236099
A's	0.229813
diamondback	0.221583
mariner	0.219635
brave	0.216263
dodger	0.215289
marlin	0.214928
"New York Yankees"	0.205274
Giants	0.205048
Yankee	0.204777
ranger	0.198754
"Los Angeles Dodgers"	0.195388
Sox	0.192543
"New York Mets"	0.19199
"Cleveland Indians"	0.191229
Toronto	0.190563
Expo	0.186041
"Cincinnati Reds"	0.184551
angel	0.182548
"San Francisco Giants"	0.178472
pirate	0.17815
cardinal	0.177169
"San Diego Padres"	0.17663
"St. Louis Cardinals"	0.176134
"Detroit Tigers"	0.176007
"Houston Astros"	0.17512
Rockies	0.174733
"Baltimore Orioles"	0.174699
"Atlanta Braves"	0.173814
"Chicago Cubs"	0.170251
"Anaheim Angels"	0.168148
"Boston Red Sox"	0.167375
Indian	0.166513
"Chicago White Sox"	0.166393
"Texas Rangers"	0.164873
"Tampa Bay"	0.164866
"Seattle Mariners"	0.163414
"Milwaukee Brewers"	0.162857
"Oakland Athletics"	0.160895
twin	0.160033
brewer	0.158374
"Colorado Rockies"	0.153137
"Arizona Diamondbacks"	0.151801
Cleveland	0.151164
"Montreal Expos"	0.150761
"Kansas City Royals"	0.150568
"Florida Marlins"	0.149929
"Philadelphia Phillies"	0.147079
ANAHEIM	0.146943
"Minnesota Twins"	0.14481
Oakland	0.143426
tiger	0.143362
"Tampa Bay Devil Rays"	0.13814
Montreal	0.133686
"Pittsburgh Pirates"	0.133062
Celtics	0.127539
Cincinnati	0.12692
BEARS	0.126805
Detroit	0.125612
oiler	0.124285
red	0.12394
Baltimore	0.123891
Canadiens	0.123566
athletics	0.122391
Lakers	0.121875
"Los Angeles Lakers"	0.120679
Milwaukee	0.120287
"San Diego"	0.119834
bruin	0.119797
islander	0.11932
Knicks	0.119281
Seahawks	0.11844
panther	0.117791
"Edmonton Oilers"	0.116258
"St. Louis"	0.114355
Canuck	0.114232
"New York Rangers"	0.113924
Seattle	0.113598
Eagles	0.111304
"New York Giants"	0.111289
Arizona	0.111186
Bengals	0.110265
"Red Wings"	0.109719
"Maple Leafs"	0.109596
clipper	0.109585
Sonics	0.109319
"Washington Redskins"	0.109254
hawk	0.108744
"Kansas City"	0.108041
flyer	0.107776
piston	0.107646
Colorado	0.107326
Pittsburgh	0.106905
Boston	0.106482
"Chicago Bulls"	0.106227
maverick	0.105768
Redskin	0.10573
sixer	0.105252
"New York Knicks"	0.105074
packer	0.104495
"Indianapolis Colts"	0.104341
Minnesota	0.104254
ram	0.10425
pacer	0.103904
cowboy	0.102568
Raptor	0.102538
Blackhawks	0.102027
"Sacramento Kings"	0.101894
Houston	0.101728
sabre	0.101695
"Mighty Ducks"	0.101578
Atlanta	0.101364
MetroStars	0.1013
Timberwolves	0.100706
Edmonton	0.100101
falcon	0.0999964
"Washington Capitals"	0.0999209
"Minnesota Vikings"	0.0998884
charger	0.0998267
"Calgary Flames"	0.0995948
bronco	0.0994875
Hornet	0.099463
"Dallas Cowboys"	0.0994055
Philadelphia	0.0993958
"Buffalo Bills"	0.0993256
"Phoenix Suns"	0.0991985
"Houston Rockets"	0.0991486
Trojan	0.0986046
"Florida Panthers"	0.0983602
Boilermakers	0.0982625
"Carolina Hurricanes"	0.0975146
"Utah Jazz"	0.0969554
"Los Angeles Kings"	0.0968284
"Miami Dolphins"	0.0961158
"San Francisco @@ers"	0.0960588
"Montreal Canadiens"	0.0959362
wildcat	0.0955682
"Detroit Pistons"	0.0955411
"Indiana Pacers"	0.0952194
patriot	0.0948626
Steelers	0.0947776
"Green Bay Packers"	0.0945586
devil	0.0938495
"Atlanta Hawks"	0.0937086
Sooners	0.0934287
cavalier	0.0934019
raider	0.0929797
"Chicago Bears"	0.0928612
"Buffalo Sabres"	0.0927374
Chicago	0.0927189
spur	0.0926042
Viking	0.0923718
bulldog	0.0921882
"Dallas Stars"	0.0920974
coyote	0.092092
"Trail Blazers"	0.0919032
"New York Jets"	0.0916402
"Kansas City Chiefs"	0.0913832
USC	0.0913745
grizzly	0.0913571
Raven	0.0907089
"Miami Heat"	0.0904931
LSU	0.0903716
"Pittsburgh Penguins"	0.0903279
"Green Bay"	0.0900799
bull	0.0898705
Carolina	0.0898547
"D.C. United"	0.0897761
"St. Louis Rams"	0.0897177
"New York Islanders"	0.0896615
"Milwaukee Bucks"	0.0894466
"Colorado Avalanche"	0.0893845
"New Jersey Nets"	0.0892079
"Vancouver Canucks"	0.0891315
"Detroit Red Wings"	0.0887468
"New England Patriots"	0.0884093
Calgary	0.0876452
"San Diego Chargers"	0.0872758
"Philadelphia Flyers"	0.0869803
"Cleveland Browns"	0.0865264
"San Antonio Spurs"	0.0864079
Pepperdine	0.0863347
"Denver Broncos"	0.0863032
"Los Angeles Clippers"	0.0859918
Pettitte	0.0859524
Orlando	0.0857027
husky	0.0856617
Seminoles	0.0853623
Vancouver	0.0852232
colt	0.0852122
))
("blue jean" (desc 8604.93) (sims
jean	0.285405
bluejeans	0.266679
"sweat pants"	0.239165
khaki	0.23563
pant	0.20888
sweatshirt	0.20623
slack	0.203614
trouser	0.201973
"baseball cap"	0.192538
sneaker	0.190302
"leather jacket"	0.188585
"tennis shoe"	0.185162
sweater	0.183858
sunglasses	0.176499
shirt	0.172206
"cowboy hat"	0.170615
"cowboy boot"	0.163164
"polo shirt"	0.160538
sandal	0.160536
T-shirt	0.158614
windbreaker	0.157209
"business suit"	0.156696
jacket	0.156107
sock	0.155014
"straw hat"	0.149264
hat	0.148209
"running shoe"	0.147031
pajama	0.146975
turtleneck	0.146956
knickers	0.146262
beret	0.14238
underwear	0.142092
denim	0.141013
tights	0.140816
vest	0.140158
raincoat	0.139494
skirt	0.138291
corduroy	0.137715
loafer	0.137532
Chino	0.136781
boot	0.135762
blouse	0.135359
coat	0.132095
tunic	0.13091
pullover	0.130801
overcoat	0.129343
tuxedo	0.12851
"military uniform"	0.127686
shoe	0.126806
jumpsuit	0.12245
scarf	0.119828
suspender	0.119612
loincloth	0.118802
"black tie"	0.117464
necktie	0.115816
Poncho	0.115075
"sport shirt"	0.114606
wig	0.112888
cap	0.111901
"bathing suit"	0.111611
coverall	0.111188
parka	0.111017
miniskirt	0.110789
robe	0.109604
"trench coat"	0.109261
legging	0.109128
miniskirts	0.108252
cardigan	0.107515
handbag	0.106989
cloth	0.105718
uniform	0.105419
"combat boot"	0.10525
headband	0.104674
apron	0.104304
Clothing	0.103921
"dark glasses"	0.103388
blazer	0.103256
"belt buckle"	0.102854
"fur coat"	0.102544
capris	0.102409
"sports jacket"	0.102125
"bow tie"	0.102028
pajamas	0.101972
bra	0.10165
waistcoat	0.100776
swimsuit	0.100563
sarong	0.100301
bandanna	0.100202
kilt	0.1001
jersey	0.0994955
camouflage	0.0991383
shorts	0.0991022
slipper	0.0980773
eyeglass	0.0979579
bikini	0.0969631
bellbottoms	0.095401
"felt hat"	0.0949484
bathrobe	0.094881
"evening gown"	0.0943881
Levi's	0.0943198
kimono	0.0940524
"ski mask"	0.0938905
trousers	0.0925959
"street clothes"	0.0921079
pants	0.0920495
"hard hat"	0.0912445
fedora	0.0910244
fatigues	0.0906195
garb	0.090134
helmet	0.0891794
"dress shirt"	0.088964
undershirt	0.0882411
attire	0.0872878
apparel	0.0867849
underpants	0.0866655
moccasin	0.0865245
earring	0.0863231
"rubber boot"	0.0860918
goggles	0.085781
garment	0.0855631
flip-flop	0.0855447
sportswear	0.0839699
cutoffs	0.0834959
hosiery	0.0833345
"hot pants"	0.0831461
stocking	0.0820094
bandana	0.0819198
backpack	0.0819171
lingerie	0.0813466
gown	0.0811923
leotards	0.0810287
"coffee mug"	0.0799489
cleat	0.0791277
tux	0.0791112
"dress uniform"	0.0788119
jewelry	0.0786436
sideburn	0.077902
leather	0.0777658
glove	0.0774293
wrangler	0.0771465
"pants suit"	0.0770885
"boxing glove"	0.0764478
wader	0.0763754
sleeve	0.0760995
"bulletproof vest"	0.0758555
pantsuit	0.0758289
STETSON	0.075629
bolero	0.0755687
turban	0.0752265
goatee	0.0751865
smock	0.0750212
"life jacket"	0.0748599
sweat	0.0746743
spandex	0.074144
slacks	0.0741328
regalia	0.0736538
linen	0.0731071
Outfit	0.073093
"top hat"	0.0726622
fatigue	0.0720906
corset	0.0720395
mask	0.0716142
purple	0.0698963
silk	0.0695242
shawl	0.0692469
mitten	0.0690757
handkerchief	0.069038
Beard	0.0687519
pantyhose	0.0680519
plaid	0.0680211
"life vest"	0.0677595
anorak	0.0677243
nightgown	0.0676553
"feather boa"	0.0673641
"body armor"	0.0672512
"bowler hat"	0.0672257
caftan	0.0669114
outerwear	0.0667583
pinstripes	0.0664136
collar	0.0663844
tweed	0.0661633
flannel	0.0659729
mustache	0.0657393
diaper	0.0655595
sunscreen	0.0654467
stiletto	0.0651585
pigtail	0.0647987
accessory	0.0647649
headdress	0.0647265
hair	0.0645211
"soccer ball"	0.0644241
belt	0.064166
bustier	0.0640873
Sari	0.0639941
woolen	0.0638476
hand-me-down	0.0636736
costume	0.0635506
"contact lense"	0.0634741
knitwear	0.0634721
"mink coat"	0.0629512
))
("blue moon" (desc 2087.01) (sims
"Bud Light"	0.0825232
"market correction"	0.0812963
"Paul Patton"	0.0726883
student-athlete	0.0693912
Catch-@@	0.0625255
McDonalds	0.0610296
gook	0.0608928
"Jim Bunning"	0.0577467
Leland	0.05645
sit-down	0.0549652
Oktoberfest	0.052239
"Siamese twin"	0.0504079
Carlsberg	0.0502271
Otis	0.0494022
dew	0.049388
Aggie	0.0492599
EPR	0.048638
"Mad Dog"	0.0486312
Vanbiesbrouck	0.0486014
"ugly duckling"	0.0484099
Heineken	0.0483442
tapa	0.0477754
hard-wired	0.0476727
"bear market"	0.0471844
"La Nina"	0.0469093
Carre	0.0466251
"secret society"	0.0462334
Moby-Dick	0.0456437
"Second Amendment"	0.0454036
triangulation	0.0449607
beanie	0.0449586
grappa	0.0448418
"French Quarter"	0.0448078
smoothie	0.0446096
kava	0.0445491
"beer drinker"	0.0445134
"margin call"	0.0443968
Budweiser	0.0443289
"little leaguer"	0.0442042
Mellencamp	0.044184
JAKES	0.0438687
vegetarian	0.0435406
Coors	0.0434881
Ulema	0.0433455
mambo	0.042492
Sepracor	0.0421137
"Miller Lite"	0.0414709
Iroquois	0.0414168
"Type @"	0.0409623
"numbers game"	0.0407967
"news event"	0.0406699
"space walk"	0.0405792
Rhapsody	0.0404257
"tea party"	0.0402985
"information superhighway"	0.0402666
))
("blue note" (desc 2280.25) (sims
Arista	0.0856848
"musical group"	0.0776476
"Lincoln Center Festival"	0.0741792
CRI	0.0717681
Tabernacle	0.0694169
"Joyce Theater"	0.0691541
EMI	0.0677188
RCA	0.0662895
"Brooklyn Academy of Music"	0.0659504
bluegrass	0.0614709
"Metropolitan Opera House"	0.0614396
"New York State Theater"	0.0610912
karaoke	0.058108
"Dorothy Chandler Pavilion"	0.0578959
"Film Forum"	0.0574123
"Memorial Tournament"	0.0574119
"Grand Ole Opry"	0.0571105
"Carnegie Hall"	0.0557186
"Kennedy Center"	0.0553161
"Radio City"	0.0548661
"front entrance"	0.0535979
"P.S @@@"	0.0535803
"big band"	0.0527533
"Wembley Stadium"	0.0513044
indie	0.0506637
improv	0.0501715
"Royal Opera House"	0.0496102
"RFK Stadium"	0.0495773
BMG	0.0493599
"Alice Tully Hall"	0.0490245
"Symphony Hall"	0.0489643
"Buena Vista"	0.0485523
joiner	0.0485332
Omni	0.0483967
Braille	0.0483635
remix	0.0482509
"Loch Lomond"	0.0477314
capella	0.047685
"European Tour"	0.0475543
"Philips Arena"	0.0474392
Motown	0.0466768
klezmer	0.046427
"Star-Spangled Banner"	0.0452831
after-hours	0.0451786
Beatles	0.0447853
LP	0.0446654
"New York City Opera"	0.0445339
"Foxy Brown"	0.0442342
syncopation	0.0438191
"La Scala"	0.0428351
trapeze	0.0426315
"Lincoln Memorial"	0.0418688
"National Theater"	0.0418058
crossover	0.0415925
Longwood	0.0414653
"Public Theater"	0.0413196
Roxy	0.0412401
"repertory company"	0.0408779
"American Dance Festival"	0.0408516
"Olympic Trials"	0.040804
"Department of Motor Vehicles"	0.0404636
"Pan Ams"	0.0403274
Tanglewood	0.0402797
"R&AMP;B"	0.0401954
"nearly $@"	0.0401786
Bakersfield	0.0401644
))
("blue ribbon" (desc 2167.57) (sims
interagency	0.138957
fact-finding	0.109629
ABA	0.101139
House-Senate	0.0992801
Rudman	0.093095
bunting	0.0897587
investigating	0.0803472
"U.S. Congress"	0.0800745
capris	0.0794602
"National Research Council"	0.0764585
counterterrorism	0.0764254
"black flag"	0.0760766
"Senate Republican"	0.0736751
"Silver Star"	0.0713893
"Medal of Honor"	0.0708551
"dog tag"	0.0703704
"American Bar Association"	0.0701047
"Congressional Black Caucus"	0.0688716
"Foreign Relations"	0.0688289
"National Academy of Sciences"	0.0675031
turquoise	0.0667351
deflector	0.0664207
"Football Association"	0.0656817
ribbon	0.0655266
"Asian American"	0.0642684
"Home Run Derby"	0.0626384
beautification	0.0618943
bluejeans	0.0615097
mauve	0.0607526
"armed service"	0.060466
ITF	0.06039
Lei	0.0599718
"Jim Dandy"	0.0590096
"Gold Glove"	0.058779
AFI	0.0587234
"Modern Library"	0.0583107
bandanna	0.0579071
crucifix	0.0578134
"Big West"	0.0576969
U.S.-Russian	0.0574019
USOC	0.0567925
wristband	0.0563764
"safety belt"	0.0563188
non-whites	0.0557557
"solar power"	0.0553509
"prayer shawl"	0.0552106
earplugs	0.0550067
Koop	0.0549002
freebie	0.0547099
lavender	0.0542475
"Pan Ams"	0.0541404
"House Republican"	0.0540398
FA	0.0540264
"powder blue"	0.0538201
"Star of David"	0.053755
"Golden Globe"	0.0534094
"Emmy Award"	0.053352
"Italian League"	0.0532981
NDF	0.053298
USATF	0.0531731
"Tony Award"	0.0524347
"Italian Cup"	0.0522522
prosthesis	0.0516644
"Texas Senate"	0.0515521
"Purple Heart"	0.0515467
Ulema	0.051371
Multistate	0.0513192
"cobalt blue"	0.0512844
"Institute of Medicine"	0.0511393
Inman	0.0511063
streamer	0.050981
"Black Panther"	0.0505954
shamrock	0.0505857
"life vest"	0.0504902
"House Government Reform Committee"	0.0500246
"Eclipse Award"	0.0499606
RNC	0.0496925
"pocket watch"	0.049445
"House GOP"	0.0490707
"name tag"	0.0490655
"U.S. Amateur"	0.0490602
"boarding pass"	0.048979
"two pitchers"	0.0489624
CITES	0.0488826
"Playstation @"	0.048743
noose	0.0486496
tarpaulin	0.0484949
"League Cup"	0.0480318
"feather boa"	0.0478367
handkerchief	0.0476707
USTA	0.0476036
Plexiglas	0.0473623
"Special Olympics"	0.0473505
"double gold"	0.047344
abalone	0.0472943
tricolor	0.0470505
"baseball glove"	0.0470488
NIH	0.0470285
pasty	0.0469482
time-trial	0.0469415
"Salt Lake"	0.0468934
blinder	0.046654
sockeye	0.046641
"International Amateur Athletic Federation"	0.0466139
pantyhose	0.0465542
bib	0.0461987
ATP	0.0461156
APA	0.0460739
Pulitzer	0.0459549
Russian-U.S.	0.0458815
"U.S. Olympic Committee"	0.0458346
"Truth Commission"	0.045779
armband	0.0457563
"U.S. Senate"	0.0457471
conciliation	0.0456479
"neck brace"	0.045479
Iditarod	0.0454057
carnation	0.0452444
"National Book Award"	0.0451421
bandana	0.0451098
"Federation Cup"	0.0450377
"pumpkin pie"	0.0450123
Patten	0.0450001
"dollar sign"	0.0448611
splint	0.0448461
wreath	0.0445132
poinsettia	0.0444474
"mink coat"	0.0443968
fuchsia	0.0443659
"popularity contest"	0.0442884
"domed stadium"	0.0441811
stingray	0.0441378
"Cy Young"	0.0439571
PECC	0.043952
CMA	0.0438331
stethoscope	0.0436769
"wedding dress"	0.0436626
"sweat pants"	0.0436074
pompom	0.0435895
Massport	0.0435823
"US Senate"	0.0435394
MPLA	0.0433771
"NFC East"	0.0432961
"Nobel prize"	0.0432635
ASO	0.043096
blinker	0.0430838
"teddy bear"	0.0430598
"National Institutes of Health"	0.0429212
NASD	0.0428092
emachines	0.0428018
freebies	0.0427803
CGI	0.0427704
"Fed Cup"	0.0426703
wristwatch	0.0424217
"Louisiana Derby"	0.042136
OSHA	0.0420381
earpiece	0.0419864
photocopy	0.0419855
accreditation	0.0418175
"membership card"	0.0418056
Nobel	0.0417402
"circuit breaker"	0.0416398
tinsel	0.0415718
LPGA	0.041508
"all clear"	0.0414724
bellbottoms	0.0414642
"animal skin"	0.0414631
"Pan Am Games"	0.041425
coverall	0.0414196
NLRB	0.0413829
"Marcus Allen"	0.0413702
"birthday card"	0.041369
"Appropriations Committee"	0.041365
forklift	0.0412164
"fig leaf"	0.0412065
"Grammy Awards"	0.0410989
Grambling	0.0410344
"House Commerce Committee"	0.0408348
hand-me-down	0.0407804
"European Tour"	0.0407702
"Kentucky Oaks"	0.0406764
periwinkle	0.0406508
placard	0.0405615
"Cup Juvenile"	0.0405566
"Uber Cup"	0.0404526
millon	0.0403629
"Ivy League"	0.0403519
avionics	0.0401979
"pants suit"	0.0400609
nightcap	0.0400398
drywall	0.0400276
))
("Blue Ridge" (desc 1140.33) (sims
"Sierra Nevada"	0.136913
Pyrenees	0.11894
Appalachian	0.117701
"North Georgia"	0.108397
Adirondack	0.106893
sierra	0.089316
Andes	0.0817603
Catskill	0.0779207
Cumberland	0.0757146
"Mount Hermon"	0.0739305
"Rocky Mountains"	0.0736529
Acropolis	0.073626
"Space Needle"	0.0712681
"Pikes Peak"	0.0682875
Kilimanjaro	0.0679113
Qomolangma	0.0665375
Sandia	0.0660428
"Three hundred"	0.0644432
"Mount Sinai"	0.064428
"Hollywood Hills"	0.0640806
"Mount Rainier"	0.0616018
Barrington	0.0589942
A-@	0.0588329
Mankulam	0.0576715
Talipao	0.056821
Huangshan	0.0559542
"North Shore"	0.0558627
Berkshire	0.0550286
"French Alps"	0.0536809
"South Pacific Forum"	0.0521238
loon	0.0514531
"Delta State"	0.0514363
"small white"	0.0496207
basalt	0.0492253
Stratton	0.0490819
Gisenyi	0.048767
Willard	0.0477135
"Lincoln Memorial"	0.0471937
Zonolite	0.0469292
Maui	0.0469149
revivalist	0.0468681
"mountain range"	0.0468002
lakeside	0.0465131
"Red River"	0.0462775
Stowe	0.0461999
"Brooklyn Bridge"	0.0458121
"Eiffel Tower"	0.0455115
Kisumu	0.0447117
CHEROKEE	0.0446667
"Group of Rio"	0.0441998
Gigahertz	0.0438664
Bel	0.043131
"Tar River"	0.0419031
"luxury liner"	0.0416052
"North Island"	0.0414041
Himalayas	0.0412616
"San Joaquin Valley"	0.0410202
shale	0.0409971
Shawnee	0.0408892
"El Dorado"	0.0408261
"East Bay"	0.0407571
glam	0.0401254
))
("Blue Room" (desc 4421.89) (sims
"Via Dolorosa"	0.139416
"Beauty Queen"	0.105464
"Side Man"	0.102687
weir	0.0848189
"Iceman Cometh"	0.0816554
"Annie Get Your Gun"	0.0793389
"Twelfth Night"	0.0785728
"True West"	0.0714983
"Wild Party"	0.0687359
rainmaker	0.0685741
"Sweeney Todd"	0.0660295
"Green Mile"	0.0624768
"Eyes Wide Shut"	0.0622981
"Cider House Rules"	0.0622876
Turandot	0.0620008
cabaret	0.0616255
ragtime	0.0615238
Electra	0.0608659
Nightingale	0.0603087
"Perfect Storm"	0.060191
"Lincoln Center Theater"	0.0592903
"Dirty Blonde"	0.0588146
"Ideal Husband"	0.0570495
"Lion King"	0.0569833
"Alicia Silverstone"	0.0562309
"Roundabout Theater Company"	0.0561402
Oedipus	0.05588
Othello	0.0555894
Evita	0.0547433
"Straight Story"	0.0527127
"sitting room"	0.0526942
off-Broadway	0.0526367
Nutcracker	0.0521668
"Public Theater"	0.051677
Macbeth	0.0509783
Revue	0.0502701
"Masterpiece Theater"	0.0499598
"American Psycho"	0.0497474
Hurlyburly	0.049698
Titus	0.0494883
"Runaway Bride"	0.0488826
"Dame Judi Dench"	0.0481597
Rushmore	0.047096
CFCs	0.0470132
"Passion play"	0.0467827
"Smoke Signals"	0.0465248
"Bill Pullman"	0.0463636
"motion picture"	0.0460827
"Thin Red Line"	0.0458115
Godot	0.0457129
"Saving Private Ryan"	0.0456914
Crucible	0.0454744
"Kirk Douglas"	0.0450977
"Phantom Menace"	0.0448451
"Erin Brockovich"	0.044428
"high fidelity"	0.0439736
"Jason Alexander"	0.0437016
"Simple Plan"	0.0432192
"Kate Winslet"	0.0431089
"American Beauty"	0.0428106
"Primary Colors"	0.0427898
"American Pie"	0.0427736
rotunda	0.0425221
"Les Miserables"	0.0424154
Cleese	0.0420036
"Jerry Maguire"	0.0418367
"East Room"	0.0417884
"Swan Lake"	0.0417617
"Blair Witch Project"	0.0417512
Costner	0.041657
"Yankee Clipper"	0.0415585
"sixth sense"	0.0414677
Waterboy	0.0413392
"leading lady"	0.0411955
Aida	0.041182
"Peter Pan"	0.0411293
Hunley	0.0411244
"Peony Pavilion"	0.0409502
"Sigourney Weaver"	0.0408294
"Civil Action"	0.0404766
"sleeping beauty"	0.0402219
"Central Station"	0.0401471
Midler	0.0400731
))
("Blue Shield" (desc 2466.96) (sims
Pacificare	0.160973
"Blue Cross"	0.141973
"United Healthcare"	0.13667
Cigna	0.116803
"Nature Conservancy"	0.110548
Humana	0.106895
"T Wireless"	0.104484
"Aetna U.S. Healthcare"	0.0996513
"Eastern District"	0.0992081
"Medical Society"	0.0894954
"John Kerry"	0.0805366
Aetna	0.0773699
"Martin Meehan"	0.074347
"Medicare HMO"	0.0724728
governor-elect	0.0720083
MetLife	0.0710672
"Kaiser Permanente"	0.0697752
WELLPOINT	0.0695065
"Carol Moseley-Braun"	0.0669208
"Standard Oil"	0.0653222
governorship	0.0632673
"Rod Grams"	0.0613682
"Barney Frank"	0.0606508
ACLU	0.0603633
Cablevision	0.0591617
"Lincoln Chafee"	0.0590726
"Lloyd Doggett"	0.0590715
"Loretta Sanchez"	0.0588149
"Paul Cellucci"	0.0588106
"Planned Parenthood"	0.05724
"Henry Waxman"	0.056944
"Mary Bono"	0.0565698
"Hubert Humphrey"	0.0564806
barrios	0.0557774
"Jumaine Jones"	0.0557076
flatlands	0.0552737
"William Weld"	0.0541375
"Bill Thomas"	0.0538729
"Nancy Johnson"	0.0537559
"Nancy Pelosi"	0.0528051
backwoods	0.0521447
"Dick Durbin"	0.0515627
"John Linder"	0.0515496
"Charlie Norwood"	0.0511465
"Max Cleland"	0.0511424
"John Rowland"	0.0505989
U.	0.0503629
"Sam Nunn"	0.0496253
"Defense Agency"	0.0494133
Kaiser	0.0492887
"Dan Miller"	0.0489102
"Bob Barr"	0.048602
UTC	0.0485606
"Peter King"	0.0485066
"James Rogan"	0.0484517
Fallon	0.0483032
"Mather Worldwide"	0.0481371
"Robert Menendez"	0.048085
"Marge Roukema"	0.0480074
"Mark Foley"	0.0478926
"George Miller"	0.0474454
"R Block"	0.0474342
"David Dreier"	0.0471192
"Christopher Cox"	0.0470359
Tauzin	0.0466715
BSA	0.0465806
"Joseph I. Lieberman"	0.0465629
decker	0.0461878
"Paul Wellstone"	0.04597
"Green Party"	0.0449452
"Christine Todd Whitman"	0.0449424
healthcare	0.0449046
"Maxine Waters"	0.0447559
"Wireless HKT"	0.0446575
"campaign for governor"	0.0438824
"Richard Blumenthal"	0.0438758
AGL	0.0436952
prudential	0.0434735
reminded	0.0429495
"Steve Chabot"	0.0426481
"Wireless Optus"	0.0424871
"State Farm"	0.0420595
"Richard Durbin"	0.0417904
"Tillie Fowler"	0.0416167
"Charles Canady"	0.0414299
"Housing Authority"	0.0414115
"Michael Forbes"	0.0413087
"Daunte Culpepper"	0.0409978
"George Ryan"	0.0409116
tuft	0.0408497
"Five Year"	0.0408494
SPS	0.0402095
"Jim McDermott"	0.040128
"Tom Campbell"	0.040089
CSC	0.0400359
))
("blue sky" (desc 9245.99) (sims
Sky	0.137521
sunshine	0.0857775
cloud	0.0830296
cloudiness	0.0729318
"rain shower"	0.0681234
sagebrush	0.0664654
sunsets	0.066317
scenery	0.0631148
breeze	0.0620658
"sea breeze"	0.0620043
skyline	0.0619196
sunlight	0.0606141
Vista	0.0600708
humidity	0.0594943
wildflower	0.0589197
ocean	0.0586134
drizzle	0.0566659
shade	0.056474
"cumulus cloud"	0.0550528
marshland	0.0544224
waterfall	0.0543102
pasture	0.0539493
fog	0.0519785
sand	0.0517981
"relative humidity"	0.0517177
shrubbery	0.0497052
rainbow	0.0496127
ragweed	0.049471
foliage	0.0485867
canyon	0.0481357
complexion	0.0471806
"Lijiang River"	0.0470378
sleet	0.04682
expanse	0.0465807
hue	0.0465567
greenery	0.0460146
grassland	0.0453119
terrain	0.0449144
vegetation	0.0443531
gully	0.043963
Astroturf	0.0435412
"hot weather"	0.0435065
prairie	0.0430034
sunset	0.0424659
rainfall	0.04244
Panorama	0.0424294
meadow	0.0423775
moisture	0.0420886
horizon	0.0417519
mist	0.0405039
Snowfall	0.0404313
Wisteria	0.0401727
))
("blue whale" (desc 1019.37) (sims
"right whale"	0.14699
mastodon	0.137547
"humpback whale"	0.133796
"mountain gorilla"	0.133078
"Tyrannosaurus rex"	0.127882
"space capsule"	0.110866
humpback	0.106043
"sea otter"	0.103509
"killer whale"	0.0986318
Orca	0.0977141
"Bengal tiger"	0.0976247
rhinoceros	0.0954058
hominid	0.0907682
"gray whale"	0.0880757
"pirate ship"	0.0866176
porpoise	0.0841388
tusk	0.0827779
"giant panda"	0.0804391
rhino	0.0787554
"woman's body"	0.0767723
"Liberty Bell"	0.0757163
orangutan	0.0756938
vaulter	0.0721449
subspecies	0.0711654
"Statue of Liberty"	0.0704635
"sailing ship"	0.0701121
"mushroom cloud"	0.070056
sturgeon	0.069741
sundial	0.0696368
hatchlings	0.0687358
mammal	0.0666405
"heart valve"	0.0663301
cormorant	0.0656623
Condor	0.0653078
Meteor	0.0640038
vagrant	0.0637236
"Gorges Dam"	0.063591
"steam engine"	0.0633641
tarantula	0.0625646
crocodile	0.0621751
stone-throwers	0.0617811
UFO	0.0614799
"North Africans"	0.0603564
"Kennewick Man"	0.0602035
powerboat	0.0596712
Bigfoot	0.0594667
coho	0.0591944
chessboard	0.0591859
albatross	0.0590286
"sea turtle"	0.058766
"Ford Expedition"	0.0584074
giraffe	0.0582645
"peregrine falcon"	0.0574223
"cabin cruiser"	0.057385
"house party"	0.0565626
"slave ship"	0.0563361
oxen	0.0563069
alligator	0.0562452
airman	0.0558486
centenarian	0.0547497
"meteor shower"	0.0546403
hearse	0.0545245
"bird of prey"	0.0544881
lemur	0.054354
"particle accelerator"	0.05432
"grizzly bear"	0.0537602
sloop	0.0536428
Mujahideen	0.0535093
windmill	0.0533923
"baseball league"	0.0532402
"water tower"	0.0530983
Stonehenge	0.0529674
"line of products"	0.0528423
ribbing	0.0526718
pontoon	0.052378
"container ship"	0.0523306
pinata	0.052197
"gray wolf"	0.0520078
Lileikis	0.0519843
manatee	0.0519637
outrigger	0.0517571
cavern	0.0515558
airship	0.0515224
"Santa Maria"	0.0514215
biplane	0.050713
"shooting star"	0.0506314
fireball	0.0504933
orchid	0.0504366
crucifix	0.050091
"waste of time"	0.0499363
Neanderthal	0.0498614
"bald eagle"	0.0497078
"jigsaw puzzle"	0.0496843
"mountain lion"	0.0496786
"Ford Explorer"	0.0496121
iceberg	0.0496121
"Eiffel Tower"	0.0495518
lynx	0.0494619
"soda can"	0.0494036
cupola	0.0493511
"milk cow"	0.049185
Judas	0.0490565
Oriole	0.0489209
"brown bear"	0.0488469
"Favorite Trick"	0.0486842
Romanov	0.0485721
spool	0.0483119
"adult male"	0.048279
apparition	0.048195
"steel mill"	0.0480219
Triptych	0.0479742
"Ferris wheel"	0.0479647
Humvee	0.0478481
millstone	0.047722
tern	0.0476042
boxcar	0.0475379
elk	0.0475296
hopefulness	0.0472668
dragonfly	0.0471358
sinkhole	0.0470485
egret	0.0470433
bather	0.046832
"cast of characters"	0.0468055
swordfish	0.0467682
Lecter	0.0467664
"transport ship"	0.046713
"ball field"	0.0465315
nodule	0.0465173
probationer	0.0465097
"hole in the ground"	0.0463114
"body type"	0.0462819
"blast furnace"	0.0462724
"frame of reference"	0.0460811
"black person"	0.0459558
Ark	0.0458905
"African elephant"	0.0457814
"blind spot"	0.0456615
ibis	0.0456067
"black bear"	0.0455674
"divorce lawyer"	0.0455029
footprint	0.0454205
heron	0.0451932
reptile	0.0450221
flamingo	0.044976
"goose bumps"	0.0448814
"Iranian POWs"	0.0448619
"Bob Marley"	0.0447922
"about one kilometer"	0.0447796
streamer	0.0447319
"ball of fire"	0.0446933
pick-up	0.0444714
"slush fund"	0.0444194
"white elephant"	0.0443526
knockdown	0.0443116
"domestic animal"	0.0441864
songbird	0.044185
bikers	0.0441715
critters	0.0441311
"dead body"	0.0440494
"flying saucer"	0.0438983
"belly dancer"	0.04382
geese	0.0436719
"landing craft"	0.0436266
genus	0.0435631
"dust bowl"	0.0434587
enlistee	0.043411
Amish	0.0433963
discography	0.0433777
"gas well"	0.0431683
smallness	0.0429507
Kopp	0.0429379
vertebrate	0.0429244
"medical specialist"	0.0428557
"stereo system"	0.0428514
"trump card"	0.042833
"Justice Center"	0.0426684
"solar eclipse"	0.042668
"telephone book"	0.0426632
Vulture	0.0426148
"probation officer"	0.0424703
Parthenon	0.0419504
sport-utility	0.0419228
rattlesnake	0.0419077
snowboarder	0.0418022
"Private Ryan"	0.0418011
deserter	0.0417562
panhandler	0.0416501
python	0.041484
examinees	0.0414603
VMs	0.0414102
Stepinac	0.0413611
Shatner	0.0413599
"telephone booth"	0.0413568
ICS	0.0412913
orgasm	0.0412694
Croatians	0.0412227
rethinking	0.0411746
Supercenters	0.0411318
"stage set"	0.0410285
snowman	0.0409541
))
("blue-chip stock" (desc 6716) (sims
"blue chip"	0.258905
"bond price"	0.225441
blue-chips	0.219566
"technology issue"	0.210639
Stocks	0.20464
Nikkei	0.177278
"futures price"	0.176325
industrials	0.173353
"market average"	0.147004
"Xetra Dax"	0.145775
"CAC @@"	0.14279
sharemarket	0.139614
"Dow Jones Industrial Average"	0.135133
"Straits Times Index"	0.13078
"Hang Seng"	0.130428
"Nikkei Stock Average"	0.127832
scrip	0.127771
Bourse	0.127096
"bond market"	0.125181
"Treasury bond"	0.12391
Dow	0.120848
"Hang Seng Index"	0.115664
"FTSE @@@"	0.115652
"Australian dollar"	0.115248
STI	0.114359
indicator	0.112651
"B share"	0.112059
"growth stock"	0.111303
"Straits Times Industrials Index"	0.110753
"News Corp"	0.109636
"equity market"	0.109634
DAX	0.109545
"stock market"	0.10856
Sensex	0.106868
soybean	0.106777
Nasdaq	0.10658
indices	0.105212
index	0.103584
"Philippine peso"	0.101672
"Philippine Stock Exchange Index"	0.101269
pivotals	0.0994117
"Telecom Corp."	0.0993166
B-shares	0.0985352
"Commonwealth Bank of Australia"	0.0974192
BHP	0.097143
"futures market"	0.0965496
"municipal bond"	0.0959504
"Dow Jones"	0.0932476
"Kuwait Stock Exchange"	0.0930656
"Shanghai Composite Index"	0.0922465
"Weighted Price Index"	0.0910016
"Composite Index"	0.0904086
Composite	0.0902938
"truck sale"	0.0898452
equity	0.0887163
CAC	0.0882207
MidCap	0.0873539
yen	0.0870919
"New Zealand dollar"	0.0868041
bullion	0.086556
"share price"	0.0862977
"Producer Price Index"	0.0860522
peso	0.0858
"retail sale"	0.0854561
"Kuala Lumpur Stock Exchange"	0.085321
"pork belly"	0.0849457
"Stock Exchange of Thailand"	0.0839251
rupiah	0.0835863
"bond fund"	0.0835733
"producer price"	0.0829777
"home sale"	0.0828493
"aircraft order"	0.0824492
CAC-@@	0.0817911
"Philippine Stock Exchange"	0.0817442
"Commonwealth Bank"	0.0814926
"factory order"	0.08109
"Karachi Stock Exchange"	0.0810095
"futures contract"	0.0808555
Bovespa	0.080482
FTSE	0.0789866
rand	0.0784581
"mortgage rate"	0.078268
"precious metal"	0.0772544
"Industrial Index"	0.0768493
"Singapore dollar"	0.0766286
"Hang Seng China-Affiliated Corporations Index"	0.0765429
"Tokyo Stock Price Index"	0.0765255
greenback	0.0763071
currency	0.075825
SPH	0.0754959
"S&AMP;P"	0.0751724
PacCent	0.075114
crude	0.0751098
"mutual fund"	0.0749286
Telecoms	0.0748463
Westpac	0.0748239
"Treasury bill"	0.0748193
"oil price"	0.0747697
Gainer	0.0730853
"Lion Nathan"	0.0725815
"NASDAQ Composite Index"	0.0717154
IPC	0.0716561
"key market"	0.0716515
"stock exchange"	0.0712432
"Rio Tinto"	0.071233
"leading indicator"	0.0712101
gauge	0.0705458
"convertible bond"	0.0701834
cyclicals	0.0701453
"SPH @@@"	0.0701013
"consumer price index"	0.0690662
"price index"	0.0683248
sub-index	0.0682541
baht	0.0680426
"crude oil"	0.0678198
"gas price"	0.0677918
palladium	0.0674468
"labor cost"	0.0664814
"National Australia Bank"	0.0661686
"Creative @@"	0.0661325
"Treasury note"	0.0660984
Orders	0.0660213
Telecom	0.0658872
"Bovespa Index"	0.0657917
"equity fund"	0.0656732
"penny stock"	0.0656108
"junk bond"	0.0655918
"Wall Street"	0.0645406
decliner	0.0642128
banking	0.064193
"Hang Seng China Enterprises Index"	0.0639067
HSI	0.0638094
"British pound"	0.063539
"heating oil"	0.0632702
"Shanghai Stock Exchange"	0.0629749
"water table"	0.0627811
"vehicle sale"	0.0625864
ruble	0.0618348
"unemployment rate"	0.0614303
"Emas Index"	0.0612977
BSE-@@@	0.061232
"preferred stock"	0.061007
"Southern Democrats"	0.0606262
"Canadian dollar"	0.0605845
ANZ	0.0600986
"Dhaka Stock Exchange"	0.0596601
"bank deposit"	0.0596292
SIA	0.0594926
rupee	0.0593397
"closed-end fund"	0.0592816
"ordinary shares"	0.0592134
"Second Board Index"	0.0589146
"personal income"	0.0588818
"market share"	0.0586119
inventory	0.0585475
viewership	0.0584838
Banks	0.0584192
FT-SE	0.0579769
Telstra	0.0578179
sub-indices	0.0575621
"Sensitive Index"	0.0575495
benchmark	0.0575449
"durable goods"	0.0573047
commodity	0.0572671
corn	0.0572258
IPO	0.0571961
"retail price"	0.0570438
"vacancy rate"	0.0570263
Ferraris	0.0569323
tranches	0.0569147
brokerage	0.0568893
multinationals	0.0568397
e-tailers	0.0566474
joblessness	0.0564779
"Fletcher Energy"	0.0564237
"small cap"	0.0563529
Euro	0.0559726
"common stock"	0.0559008
"GE Life"	0.0558836
"more than @@ points"	0.0556099
crossers	0.0555244
"hot stock"	0.0555223
carmakers	0.0555197
"commercial paper"	0.0554238
wheat	0.0553162
"occupancy rate"	0.0552493
Seizinger	0.0552244
"business activity"	0.054595
productivity	0.0545876
"semiconductor maker"	0.0545389
"crime rate"	0.0541008
"Wireless Optus"	0.0538173
"asset value"	0.0537126
"preferred shares"	0.0534642
treasury	0.0534494
derivative	0.0532805
VMs	0.0530013
"house of cards"	0.0528959
techs	0.0522051
"Carter Holt Harvey"	0.0520687
))
(blue-chips (desc 1794.88) (sims
"blue-chip stock"	0.219566
"technology issue"	0.196708
"blue chip"	0.196002
"bond price"	0.130369
industrials	0.124205
pivotals	0.118333
"Straits Times Index"	0.111386
scrip	0.105087
"Weighted Price Index"	0.104011
"growth stock"	0.103591
BHP	0.100876
"futures price"	0.0995401
"Australian dollar"	0.0968271
"Philippine Stock Exchange Index"	0.0957541
cyclicals	0.0951685
"Dow Jones Industrial Average"	0.0937107
"market average"	0.0902728
Stocks	0.0878981
Nikkei	0.0869571
"Bovespa Index"	0.0865942
"Nikkei Stock Average"	0.0846008
"News Corp"	0.0824786
"Hang Seng Index"	0.0806586
"bond market"	0.0797284
"Philippine peso"	0.0775231
"FTSE @@@"	0.0774391
"Southern Democrats"	0.0774312
sharemarket	0.076622
"root vegetable"	0.0758567
"Commonwealth Bank"	0.0752163
techs	0.0749318
cultivar	0.0722999
Dow	0.0721407
Nasdaq	0.0718051
"hard drug"	0.0711772
Seizinger	0.0710552
"Straits Times Industrials Index"	0.0706092
PacCent	0.0703686
"Telecom Corp."	0.0695601
SPH	0.0684877
"vital organ"	0.068155
Sensex	0.0680956
"semiconductor maker"	0.0680936
"business line"	0.0675865
greenback	0.065641
"business organization"	0.0651421
"Hang Seng"	0.0651148
"Rio Tinto"	0.0651051
"Xetra Dax"	0.0646669
Composite	0.0646096
Telecoms	0.0644412
indices	0.0639329
"New Democrats"	0.0636091
"penny stock"	0.063462
corporates	0.063344
"equity market"	0.0632835
"aircraft order"	0.0631179
celebs	0.0621989
drugmakers	0.0620608
"Commonwealth Bank of Australia"	0.0620488
DAX	0.0617681
"GE Life"	0.061708
"Creative @@"	0.0615406
"B share"	0.0614348
"housing sale"	0.0613993
"consumer durables"	0.0609947
soybean	0.0609767
Financials	0.0607778
OCBC	0.0607708
"CAC @@"	0.0605446
rupiah	0.0603652
"Treasury bond"	0.0601967
"Singapore dollar"	0.0597434
"key market"	0.0591121
twentysomethings	0.0586423
"SPH @@@"	0.0586102
"price pressure"	0.058361
transnationals	0.0583013
"New Zealand dollar"	0.0576216
sub-index	0.0575537
"futures contract"	0.0571284
parastatals	0.0568636
chipmakers	0.0566147
Bourse	0.0559625
STI	0.0559562
discounter	0.0557584
"investment trust"	0.0556435
"leading indicator"	0.0556034
CAC	0.0553657
rand	0.0553444
"options contract"	0.0550191
"National Australia Bank"	0.0548561
census-takers	0.0544757
craftspeople	0.0541095
Telstra	0.0540699
resellers	0.0540696
"tax change"	0.0539955
"animal product"	0.0534362
"Fletcher Energy"	0.0534125
"closed-end fund"	0.0531844
B-shares	0.0531074
"little leaguer"	0.0529418
"Dow Jones"	0.0529037
"Sang Lan"	0.0526528
"two pitchers"	0.0523331
metropolises	0.0521066
"HSBC Holdings"	0.0520453
bottlers	0.0519682
Events	0.0518454
carmakers	0.0516012
multinationals	0.0514991
major-leaguers	0.0514751
db	0.0514357
"food product"	0.0514136
Qualcomm	0.051365
strongmen	0.0513314
"small cap"	0.0512198
varietals	0.0511045
"sweet pea"	0.0510937
"housing industry"	0.050926
"discount chain"	0.0508141
"Karachi Stock Exchange"	0.0504185
"Internet Service Providers"	0.0503149
"goose bumps"	0.0500713
"cut of meat"	0.0499708
"Tokyo Stock Exchange"	0.0499459
"futures market"	0.0498638
"Tokyo Stock Price Index"	0.0496629
"electronics company"	0.0496114
ANZ	0.0495819
sub-indices	0.0495692
Mondavi	0.0494065
"durable goods"	0.0491136
nightspots	0.048794
Chinese-Indonesians	0.0485919
"board game"	0.0482454
"engine failure"	0.048244
"bond investor"	0.048196
"heavy hitter"	0.0481325
Terra	0.0480235
"precious metal"	0.0479423
Raduyev	0.0478691
peso	0.0477443
intangible	0.0477425
raindrop	0.0475268
"rate of inflation"	0.0473515
Humbert	0.0471266
"Sony Corp."	0.0470763
Creationists	0.0470079
"application program"	0.0469369
"retail operation"	0.0466492
"debt security"	0.0466345
stadia	0.0462996
"four @-pointers"	0.0462146
"S&AMP;P"	0.046183
AMP	0.0461248
"card holder"	0.0461204
SOEs	0.0459722
"Composite Index"	0.0459637
"municipal bond"	0.0459242
"retail price index"	0.0458877
adoptees	0.0458169
Meston	0.0458095
"Hang Seng China-Affiliated Corporations Index"	0.045704
"Honda Motor Co."	0.045619
Autissier	0.0455274
Westpac	0.0454644
"futures exchange"	0.0453321
"big leaguer"	0.0452524
"agenda item"	0.0452109
third-down	0.0452039
standouts	0.0451989
"Department of Motor Vehicles"	0.0451865
"odds and ends"	0.0450177
HSI	0.0448769
"junk bond"	0.0448374
"Rolls-Royce Motor Cars"	0.0447298
Englishmen	0.0447011
"pork belly"	0.044692
FTSE	0.0446763
Swazi	0.0446589
"state-owned enterprises"	0.0445858
nonprofits	0.0445618
"Hang Seng China Enterprises Index"	0.044541
Niedermayer	0.0444376
"role player"	0.0444289
crossers	0.0441135
whistle-blowers	0.044094
CAC-@@	0.0440812
shellfish	0.0440431
"building permit"	0.0440106
"military vehicle"	0.0438555
"U.N. agencies"	0.0437762
Mahomes	0.0437557
"financial organization"	0.043555
zeitgeist	0.0435406
"consumer goods"	0.0435291
"Dhaka Stock Exchange"	0.0435146
overachiever	0.0434924
protestor	0.0434347
))
(blueberry (desc 11465.1) (sims
raspberry	0.312214
blackberry	0.244209
peach	0.216789
cranberry	0.209864
strawberry	0.206065
apricot	0.20019
Cherry	0.189688
pear	0.183989
pineapple	0.1839
mango	0.18289
plum	0.180938
nectarine	0.179198
melon	0.179028
RHUBARB	0.177028
fig	0.17097
grape	0.170417
tomato	0.167843
berry	0.167693
pecan	0.162323
coconut	0.160808
almond	0.154938
lemon	0.152839
apple	0.152453
raisin	0.150825
onion	0.149586
pumpkin	0.149175
mushroom	0.144765
"sweet potato"	0.144638
yogurt	0.141135
"orange juice"	0.139856
buttermilk	0.13856
"whipping cream"	0.138484
watermelon	0.137732
banana	0.136184
half-and-half	0.13523
spinach	0.133801
"coconut milk"	0.133672
ricotta	0.132129
potato	0.131878
grapefruit	0.130555
"passion fruit"	0.130512
currant	0.129741
vanilla	0.128188
fruit	0.127687
pea	0.127603
applesauce	0.127208
persimmon	0.127101
papaya	0.125704
Quince	0.125105
walnut	0.124313
lime	0.124008
"sour cream"	0.123742
tangerine	0.123718
"whipped cream"	0.122235
cantaloupe	0.121292
lettuce	0.120035
bean	0.119667
Broccoli	0.117477
cider	0.11578
"black bean"	0.115071
corn	0.114784
"cottage cheese"	0.114673
Basil	0.113585
prune	0.112593
"winter squash"	0.112377
shrimp	0.112084
"heavy cream"	0.111428
"pineapple juice"	0.110825
vinegar	0.110515
beet	0.109852
"beef broth"	0.109805
carrot	0.109287
"chicken stock"	0.108526
vegetable	0.108246
sugar	0.107605
Orange	0.107113
citrus	0.107028
"peanut oil"	0.106185
zucchini	0.105709
"lemon juice"	0.105377
cream	0.105081
Garlic	0.104503
"cider vinegar"	0.104263
asparagus	0.103908
"maple syrup"	0.103591
chocolate	0.103111
mayonnaise	0.100935
"chicken broth"	0.100853
fennel	0.100712
"lima bean"	0.100305
cheese	0.0999554
cabbage	0.0999514
pomegranate	0.0998174
leek	0.0994168
olive	0.0990214
honey	0.099003
"vanilla ice cream"	0.0988854
nut	0.0988702
eggplant	0.0986074
"evaporated milk"	0.0976008
pepper	0.0973979
juice	0.0966343
lentil	0.0964046
"blue cheese"	0.096286
"apple juice"	0.0961893
puree	0.0960663
"green bean"	0.0959967
Chickpea	0.095851
barley	0.095763
florets	0.0949284
herb	0.0948946
hazelnut	0.0947565
"beef stock"	0.0946787
"brown sugar"	0.0944837
soybean	0.0942382
"tomato juice"	0.0941667
shallot	0.0940574
cucumber	0.093386
pistachio	0.0933548
licorice	0.0926887
"lime juice"	0.0926029
parsley	0.0923978
cornmeal	0.0922911
"orange marmalade"	0.0922888
"sweet corn"	0.0921877
oatmeal	0.092097
crumb	0.0920098
"sugar cane"	0.0919104
milk	0.0914192
watercress	0.0911882
litchi	0.0911035
flour	0.0910807
cilantro	0.0905478
"tomato sauce"	0.0903107
"skim milk"	0.0900162
"dried fruit"	0.0898327
squash	0.0894695
lemonade	0.0893994
mint	0.0893844
celery	0.0883324
ginger	0.0883196
molasses	0.0878851
butter	0.0878771
soy	0.0875247
syrup	0.0872535
"olive oil"	0.0871559
breadcrumb	0.0869672
cassava	0.086926
liqueur	0.0857121
noodle	0.0856514
broth	0.0854081
artichoke	0.0849272
avocado	0.0845137
veggie	0.084205
sauerkraut	0.084089
"peanut butter"	0.0838188
radish	0.0837741
peanut	0.0836686
Jell-O	0.0834294
"shiitake mushroom"	0.0832392
"root beer"	0.0831721
"green tea"	0.0828224
kernel	0.0827544
sunflower	0.0825654
dill	0.0823845
macaroni	0.0820697
yam	0.0819957
"citrus fruit"	0.0819933
scallion	0.0819867
"hoisin sauce"	0.081914
cinnamon	0.0819046
chive	0.0817896
"bean sprout"	0.0817329
kiwi	0.0817226
"pine nut"	0.0817019
granola	0.0816817
"ice cream"	0.0816579
"cream cheese"	0.0813075
"goat cheese"	0.0812139
rice	0.0811846
"cherry tomato"	0.0811449
"egg white"	0.0810817
"white wine"	0.0805659
hemp	0.080271
"red wine"	0.0792272
seaweed	0.0791527
cocoa	0.0790128
"brussels sprout"	0.0788449
pasta	0.0785571
"red pepper"	0.0783875
"green onion"	0.0783716
mustard	0.0782115
"macadamia nut"	0.0779862
mesclun	0.0779516
morel	0.0779244
sprout	0.0779144
ginseng	0.0778291
panko	0.077682
jelly	0.0775987
sugarcane	0.0775051
))
(bluebird (desc 1847.35) (sims
peregrine	0.124171
"peregrine falcon"	0.110986
redfish	0.097549
He/she	0.0957332
hummingbird	0.0941269
cormorant	0.0905201
sparrow	0.090075
stork	0.0810292
tern	0.0806096
"bald eagle"	0.0797069
woodpecker	0.0759118
tarpon	0.0754501
WASP	0.073412
songbird	0.0722872
magpie	0.0715633
warbler	0.0684854
egret	0.0681882
striper	0.0649142
geese	0.0646558
seaboard	0.0631833
owl	0.0630277
Pelican	0.0627622
ladybug	0.0626201
osprey	0.0622079
rhino	0.0614872
wildflower	0.0612686
"killer whale"	0.0592287
turtle	0.0585439
camellia	0.0584232
trout	0.0583232
"Greek Revival"	0.0579694
tortoise	0.0579358
ant	0.0578446
"sea turtle"	0.0578318
Domino's	0.0577762
B-@s	0.057297
householder	0.0568516
walleye	0.0564465
crocodile	0.0556396
"small white"	0.0552661
Quay	0.0549863
termite	0.0547602
"coho salmon"	0.0545611
"sea otter"	0.0538869
kitten	0.0534501
orangutan	0.0520647
starling	0.0516947
goose	0.0511574
Rattler	0.0510468
ibis	0.0510208
Washingtonian	0.0503103
Limoges	0.0499621
"sea horse"	0.0492555
steelhead	0.0487278
URL	0.0486001
rodent	0.048265
"traffic cop"	0.047772
Crayola	0.0477176
bougainvillea	0.0476039
decoder	0.0472227
triathletes	0.0471998
"black bear"	0.0471191
azalea	0.0468815
"Bengal tiger"	0.0465411
styrofoam	0.0459298
grasshopper	0.0458715
otter	0.045614
woodland	0.0455241
elk	0.0452926
converter	0.0451423
nonentity	0.0450479
"Kosovar Albanian"	0.0447566
bimbo	0.0447459
"humpback whale"	0.0447168
nonwhite	0.0446958
flamingo	0.0445749
Beijingers	0.0445284
mallard	0.0442991
parrot	0.0441788
serpent	0.0441602
Wheaties	0.0440508
lizard	0.0439758
"striped bass"	0.0438541
moth	0.0438193
dew	0.0436982
"domed stadium"	0.0434463
squirrel	0.0433963
reptile	0.0426974
clapboard	0.0426554
oleander	0.0425477
"sea lion"	0.0424777
"boxing glove"	0.0420859
Tex-Mex	0.0420411
aphid	0.04199
megaplexes	0.0418754
sorority	0.0416494
bikers	0.0416359
kingfisher	0.0415475
cottonwood	0.0415022
chimpanzee	0.0414062
Robin	0.041359
"horseshoe crab"	0.0410969
"bluefin tuna"	0.0410861
enlistee	0.0409656
"matinee idol"	0.0407819
namesake	0.0405804
"brown bear"	0.0403398
snowpack	0.0402736
Po	0.0402552
"caller ID"	0.0401073
parakeet	0.0400621
))
(bluefin (desc 1325.66) (sims
"white meat"	0.10251
"bluefin tuna"	0.0947186
sturgeon	0.0868816
coho	0.0865781
"gray whale"	0.0823286
Bumblebee	0.0772115
"right whale"	0.0753871
blinker	0.0683248
shad	0.0663282
"minority shareholder"	0.0661861
trout	0.0641587
abalone	0.0619437
otter	0.0618457
"monarch butterfly"	0.0602158
Pairgain	0.0590409
sockeye	0.0586289
bison	0.05767
"electric company"	0.0568121
"Amani Toomer"	0.0557641
pastureland	0.055754
herring	0.0540886
Copley	0.0532716
"over @.@ billion yuan"	0.0529245
waterfowl	0.0524145
"trial balloon"	0.0522919
VENATOR	0.0519829
"more than one billion yuan"	0.0519549
drillers	0.051252
"church bell"	0.0509926
devolve	0.0509131
"small cap"	0.0507759
Guerra	0.0507545
prawn	0.0504958
tarpon	0.0503425
"public transit"	0.0502936
"Van Roost"	0.0502866
eel	0.0499893
spammers	0.0498327
Telebras	0.0497256
walleye	0.049538
"oxygen mask"	0.0491507
"fire ant"	0.0491178
NiSource	0.0491134
"boxing glove"	0.0490422
"striped bass"	0.0488758
"manual labor"	0.0488234
"sea horse"	0.0483207
geese	0.0481993
"Fifth Amendment"	0.0475287
neuron	0.0474234
crocodile	0.0473149
"tea leaf"	0.0468566
"Mekong River"	0.0467197
"baseball club"	0.0465939
striper	0.0465483
ISPs	0.0462916
swordfish	0.0462777
ATX	0.0458316
"U.N. Interim Force in Lebanon"	0.0457388
anchovy	0.0454869
halibut	0.0453107
"investment portfolio"	0.0452774
vintner	0.0452624
Berliner	0.0452018
"manufacturing business"	0.0450649
Rockettes	0.0450064
"nearly @@ billion yuan"	0.0449235
"Republican Convention"	0.0447542
Bochy	0.0447279
Tupperware	0.0444995
caribou	0.0444981
cormorant	0.0443589
florets	0.0440144
goldfish	0.0439062
"sea turtle"	0.043824
MiniMed	0.0437551
"more than @@.@ billion yuan"	0.0434951
tenge	0.0433501
shellfish	0.0433243
Emulex	0.0431346
"Airbus @@@"	0.0431046
Lieberthal	0.0426768
Muscovite	0.0426093
Gillick	0.0424631
squatter	0.0424367
turboprop	0.0422796
earphone	0.0420889
dispersion	0.041844
Keiko	0.0418373
"killer whale"	0.0417597
Leuchter	0.0417466
groundwater	0.0413867
"root beer"	0.0413084
emulator	0.0412202
Primedia	0.0412113
easement	0.0410694
"humpback whale"	0.0409537
ibis	0.0408697
chaff	0.0408003
lampshade	0.0407637
"more than @.@ billion yuan"	0.0407066
Masa	0.0407011
Tenneco	0.0406898
"sheet of paper"	0.0404678
Nicol	0.0404132
"market maker"	0.0404016
Figgs	0.0402289
"nuclear family"	0.0401353
C-@@	0.0401046
geisha	0.0400906
Bekaa	0.0400284
))
("bluefin tuna" (desc 1450.77) (sims
coho	0.16306
striper	0.158146
"coho salmon"	0.141653
"striped bass"	0.131053
"horseshoe crab"	0.115795
swordfish	0.111252
"right whale"	0.104937
"gray whale"	0.101301
bluefin	0.0947186
sturgeon	0.0936788
"humpback whale"	0.0926633
tuna	0.0899082
steelhead	0.0892535
halibut	0.0879247
"sea otter"	0.0857274
"sea horse"	0.0856318
trout	0.0838366
sockeye	0.0798289
"blue crab"	0.0794413
lobster	0.0785243
"sea turtle"	0.0752787
walleye	0.0737923
"gray wolf"	0.0720344
Bighorn	0.0713032
"grizzly bear"	0.0695725
humpback	0.0695253
redfish	0.0690272
"minke whale"	0.068976
crab	0.0680041
herring	0.0658564
antelope	0.0625533
manatee	0.0595026
"Bengal tiger"	0.0579901
"coral reef"	0.0577815
rhinoceros	0.057417
anchovy	0.0566535
"Atlantic salmon"	0.0563262
oar	0.0551101
Emulex	0.0550225
abalone	0.0548508
"red snapper"	0.0541428
"Bausch &AMP; Lomb"	0.0536485
"prairie dog"	0.0532637
porpoise	0.0530388
SkyTel	0.0521751
NiSource	0.0521461
lynx	0.0518538
pontoon	0.0518364
rhino	0.0514126
otter	0.0512099
toad	0.0511572
"shell game"	0.0508804
orangutan	0.0504569
"Shan State"	0.0498204
"monarch butterfly"	0.0497283
"Newport News"	0.0495179
"life preserver"	0.0494757
prawn	0.0486689
cormorant	0.0485497
"sacred cow"	0.0482148
eel	0.0480836
"black bear"	0.0474527
reef	0.0473653
"tropical rain forest"	0.0470185
hatchlings	0.0469804
ENTREMED	0.0469324
plankton	0.0460235
"Long Island Sound"	0.0459943
shellfish	0.0449644
"Times Co."	0.0449523
"U.S. Trust"	0.0449334
"Xerox Corp."	0.0447871
cryptosporidium	0.0447518
"Turkish Republic of Northern Cyprus"	0.0445252
"Delta State"	0.0443202
"Berkshire Hathaway"	0.0441665
"less than @@,@@@"	0.0438817
"food grain"	0.0438173
"about one percent"	0.04373
"over @.@ billion yuan"	0.0434531
turbot	0.0432304
Chattahoochee	0.0431317
"United Republic of Tanzania"	0.0429645
"voting age"	0.0427799
Radon	0.0427154
sparrow	0.0424133
"inner tube"	0.0423372
"mountain lion"	0.0418181
"True North"	0.0417077
"raw meat"	0.0416464
"San Joaquin Valley"	0.0415413
"market town"	0.041278
"Iraqi Kurds"	0.0412639
"small boat"	0.0411779
"four billion yuan"	0.0411219
"three million"	0.0411003
bluebird	0.0410861
waterfowl	0.0409066
hive	0.0407803
"RJR Nabisco"	0.0407491
"Mekong River"	0.0405082
"mountain gorilla"	0.0403061
"fishing net"	0.0402837
salamander	0.0402222
"more than seven"	0.0402212
bio-diversity	0.0401608
"Georges Bank"	0.0400233
))
(bluefish (desc 3118.75) (sims
mackerel	0.203907
herring	0.160803
"striped bass"	0.158613
halibut	0.147797
"red snapper"	0.144949
"Atlantic salmon"	0.143137
cod	0.138593
grouper	0.126706
monkfish	0.117205
tuna	0.117192
Catfish	0.115818
sardine	0.111107
trout	0.110731
flounder	0.108442
salmon	0.10631
sturgeon	0.105924
"brown trout"	0.101442
"sea bass"	0.0976909
shad	0.0954091
walleye	0.095353
striper	0.0926
swordfish	0.0877066
lobster	0.0873509
scallop	0.0858938
anchovy	0.0801721
redfish	0.0796615
tilapia	0.0779369
fillet	0.0750236
eel	0.0729387
"pork tenderloin"	0.0729286
"king salmon"	0.0710692
snapper	0.070725
Haddock	0.0702867
squid	0.0674995
steelhead	0.0660896
"beef tenderloin"	0.0656134
Bass	0.0647004
bratwurst	0.0600698
tenderloin	0.0553311
"pork loin"	0.0548519
"chicken salad"	0.0541692
"smoked salmon"	0.0538076
brisket	0.052698
chorizo	0.0523892
tarpon	0.052371
quail	0.051488
"brook trout"	0.0513896
"short ribs"	0.0510091
venison	0.0497567
"rainbow trout"	0.0485812
"lima bean"	0.0483932
"filet mignon"	0.0483383
"roast beef"	0.0466325
"fish fillet"	0.0463963
"sea otter"	0.0460196
cheetah	0.0452417
porpoise	0.0451112
shoplifter	0.0446186
"rack of lamb"	0.0427791
croaker	0.0419565
taskforce	0.0409357
pop-up	0.0408805
mussel	0.0407477
Nivel	0.040643
cannonball	0.0405234
sauerkraut	0.0403406
meatloaf	0.0402986
))
(bluegrass (desc 5998.19) (sims
Zydeco	0.214145
"R&AMP;B"	0.187208
rhythm-and-blues	0.184242
Reggae	0.182241
klezmer	0.181941
mariachi	0.153403
Motown	0.143387
bebop	0.141657
gospel	0.14063
merengue	0.134592
Jazz	0.134
"country music"	0.127551
honky-tonk	0.124925
rap	0.124578
"rock 'n' roll"	0.12121
"folk music"	0.120787
"big band"	0.115031
calypso	0.113798
techno	0.111628
blue	0.111267
banjo	0.108589
"classical music"	0.108532
polka	0.108514
oldies	0.108408
hip-hop	0.104751
samba	0.10446
SKA	0.103276
Latin	0.100526
"chamber music"	0.0982446
Funk	0.0972217
Cajun	0.0952588
"popular music"	0.0949963
salsa	0.0933428
bop	0.0914399
rumba	0.0878866
"Tin Pan Alley"	0.0856178
"pop music"	0.0855111
bagpipe	0.0854134
Afro-Cuban	0.0845455
"folk song"	0.08184
"dance music"	0.0808478
Tex-Mex	0.0801388
Celtic	0.0798895
flamenco	0.079003
"rock and roll"	0.0771679
electronica	0.0768473
"brass band"	0.0759817
rock-and-roll	0.0750249
mambo	0.0726263
grunge	0.0725784
"folk dance"	0.07194
tango	0.0709614
psychedelia	0.0689376
"Beach Boys"	0.0681877
boogie	0.0679554
ballad	0.0673162
punk	0.0671071
disco	0.0665031
ragtime	0.0662022
"Grateful Dead"	0.0656153
opera	0.0648271
hardcore	0.0644883
gangsta	0.0640538
"Pink Floyd"	0.062949
Appalachian	0.0621177
Ellington	0.0620942
cabaret	0.0617362
"blue note"	0.0614709
"musical theater"	0.0613623
espanol	0.0610448
mandolin	0.0609872
"modern dance"	0.060957
fescue	0.0608312
Beatles	0.0601456
"Beijing Opera"	0.0584221
rhythm	0.058157
"Peking Opera"	0.0580803
ballet	0.0576644
"Burt Bacharach"	0.0570232
waltz	0.0569144
"spoken word"	0.0565674
Americana	0.0564903
percussion	0.0563344
NOVA	0.0555257
"show business"	0.054281
Mexican-American	0.0542707
harmonica	0.0539467
"avant garde"	0.0531333
"steel guitar"	0.0530026
"Bruce Springsteen"	0.0528871
acrobatics	0.0526361
Monkees	0.052359
"Grand Ole Opry"	0.0522607
"Los Lobos"	0.0520408
Sinatra	0.05197
Slavic	0.0519598
cappella	0.0519389
"Van Halen"	0.0517363
Gershwin	0.0513864
uptempo	0.0511366
harpsichord	0.0505337
"Woody Guthrie"	0.0504906
Metallica	0.0502521
Phish	0.0499924
drumming	0.0497026
operetta	0.0496771
Bard	0.0487477
folklore	0.0481398
crossover	0.0480675
"Beastie Boys"	0.048042
rom	0.0479135
"Jimmy Buffett"	0.0476086
puppetry	0.0475249
trapeze	0.0474742
Monteverdi	0.0474505
"high fidelity"	0.0473987
hippie	0.0473736
jive	0.0472076
fusion	0.0469558
soundtrack	0.0467227
solo	0.0466851
guitar	0.046681
saxophone	0.0464672
anime	0.046156
blues	0.0461073
hymn	0.0460424
karaoke	0.0457605
Chorale	0.0457413
Oktoberfest	0.0457052
minimalism	0.0456986
indie	0.0456143
"Benny Goodman"	0.0454045
vaudeville	0.0453517
"architectural style"	0.0448342
Springsteen	0.0443061
Selena	0.0442874
Chianti	0.0441066
animation	0.0440727
EMI	0.0440578
Acadian	0.0440337
"Middle Eastern"	0.0440324
Lullaby	0.0440155
oddball	0.0439311
"Steely Dan"	0.0436081
punchy	0.0434978
"Pearl Jam"	0.0434718
pep	0.0429849
MP@	0.0429647
"swing music"	0.0429421
bluesy	0.0427383
"BUENA VISTA SOCIAL CLUB"	0.0425412
"Lilith Fair"	0.0425016
Hawaiian	0.0424464
jingle	0.042426
violin	0.0421675
"comic strip"	0.0421399
"French Canadian"	0.0421231
bolero	0.0421158
counterculture	0.0420821
"native American"	0.0420686
"classical ballet"	0.04206
"rock band"	0.0418146
BMG	0.0416781
"science fiction"	0.041659
Hendrix	0.0416329
R.E.M	0.0416102
"West African"	0.0415577
"dance band"	0.0415463
ragtag	0.0414931
terrapin	0.0412938
"Gilbert and Sullivan"	0.0412002
"New Age"	0.0411152
"American football"	0.0411103
recitative	0.0410761
Goth	0.0408498
"martial art"	0.0408286
"puppet show"	0.0407879
retro	0.0407795
"Rolling Stones"	0.0407011
Vivaldi	0.0405686
"Jimi Hendrix"	0.04053
zeppelin	0.040483
Bach	0.0404804
Mahler	0.0403207
Aerosmith	0.0402303
"George Gershwin"	0.0402163
cinematography	0.0401688
))
(bluejeans (desc 1065.11) (sims
"blue jean"	0.266679
corduroy	0.226479
"sweat pants"	0.218174
miniskirts	0.191607
khaki	0.188784
sarong	0.185105
coverall	0.181325
Chino	0.179387
"cowboy hat"	0.179266
"straw hat"	0.175663
slack	0.173037
trouser	0.170367
jean	0.165393
"sports jacket"	0.161317
"hot pants"	0.159247
pullover	0.154548
"felt hat"	0.153438
sweatshirt	0.153385
windbreaker	0.15306
bandanna	0.151845
"baseball cap"	0.149563
"belt buckle"	0.146086
cardigan	0.145452
bellbottoms	0.143426
"rubber boot"	0.13456
capris	0.1335
"tennis shoe"	0.132456
loafer	0.12718
beret	0.12665
raincoat	0.124892
STETSON	0.121425
waistcoat	0.118384
kilt	0.117624
"pants suit"	0.116469
turtleneck	0.116245
sweater	0.116243
miniskirt	0.116129
tights	0.113116
loincloth	0.11294
"leather jacket"	0.112423
"bow tie"	0.111346
bustier	0.110089
suspender	0.109191
sneaker	0.108673
slacks	0.108626
necktie	0.108488
blouse	0.108084
"hard hat"	0.108078
"running shoe"	0.10732
ascot	0.106477
"business suit"	0.10574
sunglasses	0.105629
"polo shirt"	0.105243
"cowboy boot"	0.104912
"dress shirt"	0.104208
"baseball glove"	0.10393
caftan	0.10268
Poncho	0.1021
sandal	0.10152
"evening gown"	0.100291
leotards	0.100005
legging	0.0966787
"black tie"	0.092699
Levi's	0.0926923
"combat boot"	0.0909681
bandana	0.0906814
overcoat	0.0904465
headband	0.0899046
jumpsuit	0.0889553
"coffee mug"	0.0878927
moccasin	0.0877589
bolero	0.0874912
"soccer ball"	0.0873331
smock	0.0870616
apron	0.0849973
handbag	0.0834944
cutoffs	0.0834504
"sport shirt"	0.0824733
"bathing suit"	0.0824567
"ski mask"	0.0813589
parka	0.0800813
knickers	0.080065
bodysuits	0.0785776
tunic	0.0769032
swimsuit	0.0766664
undershirt	0.0759948
trousers	0.0756696
wristband	0.0755091
sideburn	0.0754485
denim	0.075122
outerwear	0.0744274
"life vest"	0.0743719
corset	0.0740002
wrangler	0.0736659
"feather boa"	0.0724189
visor	0.0716914
sunscreen	0.0716446
pajama	0.0715444
pants	0.0712675
eyeglass	0.0708505
camisole	0.0707893
earring	0.0706485
Pantsuits	0.0706265
sheath	0.0699978
"neck brace"	0.0699443
"ball gown"	0.0692908
toupee	0.0692041
"fur coat"	0.0689632
spacesuit	0.0688162
shorts	0.0685901
"trench coat"	0.0678379
eyeshadow	0.06751
"cocktail dress"	0.0674621
wristwatch	0.0672222
turban	0.0671398
pillowcase	0.066675
shawl	0.0665868
spandex	0.0659955
pompadour	0.0653048
"dark glasses"	0.0648799
nightgown	0.0646328
"bulletproof vest"	0.0631644
armband	0.0624614
sequin	0.0624128
woolen	0.0620059
slipper	0.0615958
"blue ribbon"	0.0615097
pajamas	0.0614887
choker	0.0611718
midriff	0.0611054
duster	0.0603305
earphone	0.060199
tuxedo	0.0599924
dreadlocks	0.0599224
"contact lense"	0.0596696
underpants	0.0592439
hairdo	0.0591596
bodysuit	0.0586639
docker	0.0583674
tweed	0.0583032
blinder	0.0577321
Fubu	0.057243
halter	0.0564723
stiletto	0.0562428
"mink coat"	0.0558197
moustache	0.0556666
mitten	0.0556115
"top hat"	0.0554779
tux	0.0554194
bib	0.0554184
"ticket stub"	0.0548058
hand-me-down	0.0546869
dud	0.0546589
sportswear	0.0546295
pantyhose	0.0542681
fishnet	0.0537955
"safety belt"	0.0534847
pigtail	0.0529355
cleat	0.0529268
suede	0.052531
Speedo	0.0524697
pantsuit	0.0521118
Sash	0.0513684
tablecloth	0.0513422
Afro	0.050476
"military uniform"	0.0504547
"coffee cup"	0.0503488
skullcap	0.0501901
earplugs	0.0492941
"prayer shawl"	0.0489759
frock	0.0487674
headgear	0.0486982
prosthesis	0.0485988
"lip balm"	0.0485605
"life jacket"	0.0483078
"name tag"	0.0480671
Thong	0.0478176
"black belt"	0.0476162
wader	0.0474219
handkerchief	0.0471912
brooch	0.047177
"body armor"	0.0470975
"rubber band"	0.0468151
G-string	0.046666
tiara	0.0464227
"nail polish"	0.046336
brogue	0.0460772
"roller skate"	0.0458247
hem	0.0457409
BOA	0.0450498
"false teeth"	0.0447926
clothes	0.0441034
"nose ring"	0.0437422
stethoscope	0.043349
brassiere	0.0432311
"clock radio"	0.0432099
"dress uniform"	0.0427104
"Michael Kors"	0.0426199
neckline	0.042188
flannel	0.0421182
))
(blueprint (desc 36341.4) (sims
"master plan"	0.142078
guideline	0.136029
"development plan"	0.130614
framework	0.128164
plan	0.127704
outline	0.125585
proposal	0.121147
strategy	0.119511
"plan of action"	0.116904
"road map"	0.113504
timetable	0.107612
agenda	0.103898
"development strategy"	0.10389
package	0.0983736
document	0.0951304
objective	0.0930504
recommendation	0.0920391
policy	0.09186
measure	0.0917223
mechanism	0.0913729
legislation	0.0897389
code	0.0868824
budget	0.086815
initiative	0.0855398
roadmap	0.0848962
"contingency plan"	0.0846485
Formula	0.0844733
program	0.0839194
map	0.0829371
"business plan"	0.0827412
model	0.082498
platform	0.0807881
bill	0.0802225
memorandum	0.0793848
"game plan"	0.078647
protocol	0.0781756
manifesto	0.0776621
agreement	0.0776431
"basic principle"	0.0776384
pact	0.0775341
Declaration	0.077387
"code of conduct"	0.0772415
principle	0.0770322
vision	0.0769297
"compromise plan"	0.0768895
priority	0.0767882
"ground rule"	0.0757289
accord	0.0756858
manual	0.0748155
regulation	0.0747502
procedure	0.0743895
concept	0.0736403
arrangement	0.0734248
scheme	0.0731874
resolution	0.0727289
revision	0.0726694
idea	0.07257
reform	0.0723677
"economic policy"	0.0721725
"reorganization plan"	0.0713856
amendment	0.0710123
"Action Plan"	0.0709721
provision	0.0708978
tool	0.0707159
task	0.070207
Treaty	0.070113
specification	0.0699408
planning	0.0698728
text	0.0696593
overhaul	0.069557
"political platform"	0.0690514
alternative	0.0689867
compromise	0.068935
directive	0.0688317
rule	0.0687518
solution	0.0687254
structure	0.0686816
step	0.0683654
"tax cut"	0.067548
constitution	0.0673523
explanation	0.0670639
approach	0.0670233
requirement	0.0668857
method	0.0667285
"building block"	0.0665704
assessment	0.0661974
standard	0.0660615
foundation	0.0658067
draft	0.0654194
prototype	0.0653725
genome	0.0653046
rationale	0.0651494
charter	0.0651115
decree	0.064715
modality	0.0646467
law	0.064532
"white paper"	0.0640248
criteria	0.0637123
prerequisite	0.0635686
detail	0.0632145
impetus	0.0632003
parameter	0.0627987
mandate	0.0627367
"source code"	0.0627244
"foreign policy"	0.0625648
guarantee	0.0624282
analysis	0.0624138
groundwork	0.0620934
proposition	0.0618806
template	0.0618553
suggestion	0.0617349
basis	0.0616135
Measures	0.0612346
doctrine	0.0610529
script	0.060996
scenario	0.0607304
bailout	0.0605568
formulation	0.0605217
theory	0.0602703
precedent	0.0602176
essential	0.060161
prospect	0.0601552
guidance	0.0600851
development	0.0598406
"letter of intent"	0.0595737
catalyst	0.0594931
outlook	0.0593721
version	0.0593384
"expansion plan"	0.0592804
summary	0.0592788
Implementation	0.0592687
"tax break"	0.0591919
"trade policy"	0.0590996
goal	0.0590054
methodology	0.0590052
application	0.0589493
"Bill of Rights"	0.0589097
implication	0.0587796
pledge	0.0586579
documentation	0.0583771
breakthrough	0.0582845
Diagram	0.0582633
projection	0.0581337
instruction	0.0581268
transcript	0.0581032
potential	0.0580749
preparation	0.0580631
achievement	0.0580214
statement	0.0579423
process	0.0578621
contract	0.0578522
memo	0.0577167
timeline	0.0577116
programme	0.057427
statute	0.0573054
funding	0.057247
endeavor	0.0572314
decision	0.0571075
Ordinance	0.0567847
definition	0.0566043
partnership	0.0565936
technology	0.056487
financing	0.0561699
"starting point"	0.0560727
commitment	0.0560222
incentive	0.0559893
capability	0.0558232
paradigm	0.0558129
remedy	0.0557006
justification	0.0556447
curriculum	0.0556158
communique	0.0554795
component	0.0554045
prescription	0.0551658
guide	0.0550848
progress	0.0549742
allocation	0.0549534
overview	0.0549337
"peace treaty"	0.0547506
"floor plan"	0.054687
description	0.0546848
material	0.0546671
resource	0.0545724
data	0.0545035
databank	0.0544875
modification	0.0544594
opportunity	0.054355
"insurance policy"	0.0543066
infrastructure	0.0542606
information	0.0541985
database	0.0540452
necessity	0.0539533
manuscript	0.0538847
stimulus	0.053817
"tax increase"	0.0536037
sketch	0.0535493
path	0.0534755
paper	0.053429
instrument	0.0533931
prospectus	0.0533401
))
(blues (desc 15677.8) (sims
blue	0.0833561
Jazz	0.0613777
hip-hop	0.0553484
ballad	0.0502827
Stars	0.0471477
bluegrass	0.0461073
"folk song"	0.0433236
rhythm	0.0427474
))
(bluesman (desc 1449.92) (sims
guitarist	0.0788997
sharecropper	0.0752032
fiddler	0.0702155
nudist	0.0670574
bandleader	0.0634475
vaudevillian	0.0606409
steamboat	0.0528176
"Wild Man"	0.0520439
Veerappan	0.0518688
oilman	0.0515244
Clothier	0.0497918
aldermen	0.0492862
gangsta	0.0487726
squire	0.0485425
nobleman	0.0484861
sportswriter	0.0479564
Kelso	0.0476557
"Tom Osborne"	0.0476077
"insurance regulator"	0.0475294
chanteuse	0.0474455
"Maple Leaf Gardens"	0.0470493
"New York Yankee"	0.0470156
"police lieutenant"	0.0469313
photojournalist	0.046717
drawl	0.0465499
fourth-graders	0.0459267
"vegetable soup"	0.0458715
psychoanalyst	0.0450747
beekeeper	0.0434528
"disk jockey"	0.0428235
"piano player"	0.0427413
"Chris Gaines"	0.0421906
newspaperman	0.0418832
"Honda Civic"	0.0412279
cattlemen	0.0412202
Mayberry	0.0411753
"opera star"	0.0411741
Grambling	0.0410952
sextet	0.0410204
"Edward R. Murrow"	0.04089
oilmen	0.0407879
triathlete	0.0406111
"Edmund Morris"	0.0405181
portraitist	0.0404713
"rock group"	0.0403645
watchman	0.0402041
))
(bluesy (desc 1564.42) (sims
mariachi	0.115816
kitschy	0.113092
singsong	0.109806
cappella	0.107591
uptempo	0.105019
"big band"	0.0868925
calypso	0.0868127
wailing	0.0838097
punchy	0.0801009
harpsichord	0.0765941
Motown	0.0758678
hammy	0.0748799
"R&AMP;B"	0.0737725
Marley	0.0711994
capella	0.070489
glam	0.0704022
Afro-Cuban	0.0647076
screeching	0.0644648
hardcore	0.0641179
Sax	0.0632684
four-minute	0.0629855
late-@@@@s	0.062499
honky-tonk	0.0621544
Zydeco	0.0620953
bare-bones	0.0615972
postgame	0.0595774
pulsing	0.0585698
razzle-dazzle	0.0573238
Reggae	0.0572604
Zulu	0.0571986
synthesizer	0.0571301
flamenco	0.0570811
"electric guitar"	0.0570636
"Dave Matthews"	0.0563035
Hawaiian	0.0557341
SKA	0.0556664
polka	0.0553925
minimalist	0.0552163
samba	0.0550578
AC/DC	0.0544567
"Steely Dan"	0.0542954
no-frills	0.054144
hourlong	0.0538611
three-minute	0.0538405
Provencal	0.0534777
Midi	0.05322
techno	0.0531025
ragtag	0.0529629
gimmicky	0.0528752
retro	0.05266
Gershwin	0.0524844
grinding	0.0523188
midlevel	0.0517697
"Black Sabbath"	0.0517245
"art deco"	0.0513648
rhythm-and-blues	0.0509918
Hendrix	0.0509243
NOVA	0.0505998
Stevie	0.0492012
turntable	0.0488952
kiddie	0.0488547
pregame	0.0486546
karaoke	0.0483821
late-'@@s	0.0482688
oddball	0.0481917
Ellington	0.0481858
spoken	0.0479826
trombone	0.0477757
bagpipe	0.0476661
"Lloyd Webber"	0.0476153
five-minute	0.0475001
pep	0.0474706
"stream of consciousness"	0.04616
banjo	0.0461404
Hammerstein	0.0461361
as-yet	0.0461058
eight-minute	0.0457847
"Jimi Hendrix"	0.0453239
slinky	0.0447345
pre-@@@@	0.0446223
zeppelin	0.044587
oldies	0.0443626
klezmer	0.0442406
raunchy	0.044133
"spoken word"	0.044117
"Lone Ranger"	0.0438903
gonzo	0.0435927
one-minute	0.0432901
Yiddish	0.0431592
gothic	0.0430668
pan-African	0.0428791
copycat	0.0428335
bluegrass	0.0427383
surrealist	0.0426723
"B.B King"	0.0423093
Nat	0.0422801
mambo	0.0420833
backdoor	0.0418384
JACK's	0.041765
storybook	0.0417278
downbeat	0.0415066
espanol	0.0414977
"Marvin Gaye"	0.0414355
Gigahertz	0.0412799
jokey	0.0411675
"Burt Bacharach"	0.0407211
Tex-Mex	0.0406379
clunky	0.0403427
"acoustic guitar"	0.0400997
"chamber music"	0.0400124
))
(BLUETOOTH (desc 1099.14) (sims
XML	0.169622
videophone	0.165658
FireWire	0.165272
IC	0.164791
mem	0.161948
RAMBUS	0.158482
CDMA	0.157285
GPS	0.152332
"radio frequency"	0.124969
WAP	0.123269
analog	0.120243
"global positioning system"	0.119452
olestra	0.113879
SDH	0.111843
filtering	0.110425
handheld	0.10856
Gnutella	0.105591
SCSI	0.103491
USB	0.101612
GSM	0.101058
"night vision"	0.0992627
broadband	0.0939449
DSL	0.0929642
"fuel cell"	0.0920462
ADSL	0.0907839
sensing	0.090674
propulsion	0.0905852
inkjet	0.0905613
Midi	0.089515
"neutron bomb"	0.0892275
"Palm VII"	0.0891992
dram	0.0889023
WebTV	0.0872055
telemedicine	0.0865277
"Windows CE"	0.0859567
ReplayTV	0.0856118
"morse code"	0.0855112
analogue	0.0852924
Internet@	0.084213
CE	0.0837648
personalization	0.0837137
Cyrix	0.0830791
DSP	0.0830035
"Windows Media Player"	0.0827905
hand-held	0.0819445
TiVo	0.0819307
MP@	0.0808015
imaging	0.0801561
networking	0.0793727
intranet	0.0792732
"Pentium III"	0.0786714
"wireless telephone"	0.0784854
X-@@	0.0784763
SDMI	0.0782063
telephony	0.0777813
e-business	0.0772367
automation	0.0764523
Encryption	0.0756822
CAD	0.0751141
ultrasound	0.0741411
Java	0.0739363
"Universal Serial Bus"	0.073835
interagency	0.0735433
"radio wave"	0.0734296
IDT	0.0729684
"solar power"	0.0726421
tabletop	0.0725774
sonar	0.072389
suction	0.0721611
TCM	0.0717495
"fiber optics"	0.0715338
"caller ID"	0.0712264
"fiber optic cable"	0.0710304
Webcam	0.0707596
cushioning	0.0701966
mammography	0.0701752
"computer hardware"	0.0698973
Benex	0.0692286
DIVX	0.0683326
"magnetic resonance imaging"	0.0680434
Spyglass	0.0679434
silicon	0.067848
Ethernet	0.067796
CD-R	0.0677864
Athlon	0.067497
Agilent	0.0674656
Transmeta	0.067368
"solar energy"	0.0671336
stent	0.0668543
Boomerang	0.066784
Norplant	0.0665448
biomass	0.0664611
JVC	0.0664202
"Proposition @"	0.0661227
miniaturization	0.0651426
"Pentium II"	0.0651305
jamming	0.0649448
Shockwave	0.0648175
Gigahertz	0.0648004
purification	0.0647305
Quokka	0.064426
polypropylene	0.0635935
"data communication"	0.0635356
PDA	0.0635038
transponder	0.0633715
"electronic communication"	0.0632709
"computer graphics"	0.0632588
ISDN	0.0631081
"optical fiber"	0.063038
playback	0.063038
"Cliffs Notes"	0.0628582
telomerase	0.0623374
Quicktime	0.0623285
Omnipoint	0.0621387
DoubleClick	0.0620527
microprocessor	0.0614543
"face saving"	0.0613225
LASIK	0.0611257
"Real Networks"	0.0610263
"information superhighway"	0.0608998
C@@	0.0608912
"Sprint PCS"	0.0606705
connectivity	0.0606665
"solar cell"	0.0605887
"coal gas"	0.0604877
p@@	0.0603747
compression	0.0599288
forklift	0.0598513
"Game Boy"	0.0595068
"computer language"	0.0594159
emulator	0.0594124
"high explosive"	0.0593952
intranets	0.0593335
HDTV	0.0592417
"Palm Pilot"	0.0591532
avionics	0.0590962
ICQ	0.0589913
"tool kit"	0.0589418
razzle-dazzle	0.0585639
Autodesk	0.0585352
butterscotch	0.0584897
E-ZPass	0.0584755
bioengineering	0.0582464
Abortion-rights	0.0581318
amplification	0.0581256
"consumer electronics"	0.0580453
coding	0.0579555
"rocket fuel"	0.0579459
hyphen	0.0578969
"user interface"	0.0578756
lifesaving	0.0577872
Lego	0.0573503
desalination	0.0572096
IX	0.0568721
vending	0.0566753
"integrated circuit"	0.0566179
lockbox	0.0565912
supercomputer	0.0565399
"New Balance"	0.0565342
Akamai	0.056243
"hand-held computer"	0.0562293
Celeron	0.0561371
synchronization	0.0560565
"space vehicle"	0.0560346
"electronic surveillance"	0.0556202
capella	0.0553775
NSP	0.0553756
"local area network"	0.0550333
"Joint Strike Fighter"	0.0547113
add-on	0.0546507
"tax avoidance"	0.0544791
carnivore	0.0542931
PalmPilot	0.0541613
GSP	0.0538937
FTA	0.05386
polymer	0.0538281
Chandra	0.0538274
"artificial heart"	0.0534909
simulation	0.053202
"Hello Kitty"	0.0531093
"high fashion"	0.0530991
shareware	0.0529181
"sound recording"	0.0528391
Broadcom	0.0526572
IP	0.0526201
snakeskin	0.052613
"death tax"	0.052536
"genetic engineering"	0.0524788
"cellular telephone"	0.0523279
Walkman	0.0523148
Beehive	0.0522793
"electric shock"	0.0521255
workstation	0.0520805
"Liquid Audio"	0.0520137
triangulation	0.0519822
CITIC	0.0518275
oxide	0.0517213
countertop	0.0516604
"Star Alliance"	0.0515671
"programming language"	0.0515256
))
(bluff (desc 10717) (sims
promontory	0.147183
cliff	0.137346
hillside	0.112302
knoll	0.10131
ledge	0.0996794
ridge	0.0985072
slope	0.0932193
hill	0.0921486
hilltop	0.0821045
outcroppings	0.0744384
ravine	0.0743743
stilt	0.0722405
inlet	0.0717907
gully	0.0658204
"mountain range"	0.0653739
plateau	0.0651723
mountainside	0.0647437
shoreline	0.0635622
dune	0.0629836
crag	0.0625739
canyon	0.0605447
"sour grapes"	0.0605444
precipice	0.0601257
Cove	0.0596737
ruse	0.0588773
berm	0.0577973
nonsense	0.0577579
rooftop	0.0558986
shore	0.0557084
marshland	0.054301
"sand dune"	0.0539525
"mountain peak"	0.0537155
pedestal	0.0536363
meadow	0.0523024
outskirts	0.050989
terrace	0.0508845
lagoon	0.0507304
"smoke screen"	0.0505395
coastline	0.0505277
blackmail	0.0504847
slab	0.0501104
sarcophagus	0.0496636
"waste of time"	0.0496628
perch	0.0493947
lawn	0.0491428
fortress	0.0487256
expanse	0.0485648
waterfall	0.0485087
"Space Needle"	0.0484079
hoax	0.0481274
mountaintop	0.0472804
terrain	0.0472663
"mountain pass"	0.0471136
ploy	0.0467391
estuary	0.0467232
dike	0.0466134
tarmac	0.0464238
fabrication	0.0461051
"picture window"	0.0460308
Vista	0.0460089
prairie	0.0456957
Creek	0.0454356
hills	0.0453607
gorge	0.0451268
Marsh	0.0450175
balcony	0.04496
vegetation	0.0449185
subterfuge	0.0448301
foothills	0.0447651
steppe	0.0445912
outcrop	0.0445138
footpath	0.0444869
grassland	0.0443846
"wishful thinking"	0.0443032
Grove	0.0442261
embankment	0.0438231
acre	0.043611
ranch	0.0435031
"piece of land"	0.0433373
Stairway	0.0428649
sham	0.0426069
jetty	0.0425422
pier	0.0420521
scenery	0.0418749
spire	0.041838
"railroad track"	0.0418011
glacier	0.0415973
Wetland	0.0412556
"stone wall"	0.0412015
mantel	0.0411655
"Pennsylvania Avenue"	0.0411214
levee	0.0409557
hammock	0.0409405
"South Lawn"	0.0409196
steeple	0.0408865
"body of water"	0.0408239
Boulder	0.0404055
"west side"	0.0403912
wetlands	0.0403556
"Potomac River"	0.0401505
))
(Blum (desc 2118.33) (sims
Sheehy	0.147572
Vidro	0.137936
Gutman	0.134345
Cleary	0.132501
Menchu	0.115923
Rivlin	0.114705
Garber	0.10691
Fiorina	0.105599
Bragg	0.10504
"Cristian Guzman"	0.103922
Myhrvold	0.102388
Epstein	0.0983941
Renteria	0.0978723
Hersh	0.0973366
"Todd Pratt"	0.0959288
Greenwald	0.0958731
Bordick	0.0956603
"Preston Wilson"	0.0952706
Dowd	0.0952588
"Scott Rolen"	0.0944553
Hickman	0.0937065
Abreu	0.0937007
Pruett	0.0936324
Kurtz	0.0934265
Farber	0.0925493
Gutierrez	0.0923512
Ashrawi	0.0913099
Batista	0.0912866
"Bruce Aven"	0.0912619
Sheldon	0.0905211
Rosenthal	0.0903334
Cline	0.0898876
Hanley	0.0895728
"Benji Gil"	0.0895625
"Mark Loretta"	0.0890478
Barad	0.0890372
"Lance Berkman"	0.0878942
"Mark Grace"	0.0877588
Grissom	0.0875943
Valentin	0.087484
Burks	0.0874535
Rolen	0.0874304
Tuttle	0.0874203
"Damian Miller"	0.0872432
"Ron Coomer"	0.0871758
"Vladimir Guerrero"	0.0869703
Bolger	0.0867434
Pearce	0.0865212
Orton	0.0860974
Nevin	0.0858326
Brazile	0.0855664
Northup	0.0852132
Karros	0.0851052
Berenson	0.0850719
Higginson	0.0849346
"Pat Meares"	0.0849152
Elster	0.0848805
Carlson	0.0847792
"Bubba Trammell"	0.0838991
"Scott Spiezio"	0.0837635
Konerko	0.0835312
"Bobby Higginson"	0.0834756
Hollins	0.0832809
Giambi	0.0831523
Lockwood	0.0830523
DeShields	0.0824264
Slatkin	0.0821419
Hatteberg	0.0820981
"Warren Morris"	0.0817251
"Marvin Benard"	0.081306
"Desi Relaford"	0.081204
"Paul Bako"	0.0811289
Ono	0.0805394
Verney	0.0803982
"J.T Snow"	0.0800962
"Jeff Cirillo"	0.0799685
Weiner	0.079867
Krugman	0.0794682
Kingsley	0.0793009
Jaffe	0.0791516
Waxman	0.0791117
Lowry	0.0790693
Tilberis	0.0790521
Bagwell	0.0786782
"Kevin Young"	0.0786548
Biggio	0.0786432
Midler	0.0786319
Ziegler	0.0785645
Feldman	0.0785034
"Bobby Abreu"	0.0783648
Callaghan	0.0783136
Gant	0.0783069
Weil	0.0782793
"De Klerk"	0.0778986
Tejada	0.0777673
Lankford	0.0773955
Beltran	0.0773596
Cora	0.0773073
"Joe Randa"	0.0770565
"Alex Gonzalez"	0.0770252
Pape	0.077015
"Eric Karros"	0.0765394
Cirillo	0.0763996
"Miguel Tejada"	0.0762674
Hauser	0.0761764
"Corey Koskie"	0.0758053
Postel	0.0757023
Briscoe	0.075567
"Mark Kotsay"	0.0755119
Greer	0.0753851
Fryman	0.075324
Wiggins	0.0752616
"Eric Owens"	0.0752383
"Phil Nevin"	0.0751156
Kurth	0.0749501
Arron	0.0748579
McDonnell	0.074786
"Brant Brown"	0.0746912
Marx	0.0746303
"Brian Giles"	0.0743327
Bowen	0.0743245
"Todd Helton"	0.0742944
Keller	0.0738915
"Jose Hernandez"	0.0737236
Jensen	0.0736744
Fullmer	0.0736292
Scruggs	0.0735552
O'Hara	0.0733048
Easley	0.0732012
"Rich Aurilia"	0.0731885
"Marquis Grissom"	0.0731768
"Adrian Beltre"	0.0731363
"Jason Giambi"	0.0729972
Burnitz	0.0727951
Baum	0.0726826
Nilsson	0.0726414
Zucker	0.0725076
Surhoff	0.0724808
COYNE	0.0724802
Silverstein	0.0722274
Halberstam	0.0720209
Alicea	0.071791
Caminiti	0.0717494
"Carlos Lee"	0.0715934
"Richard Hidalgo"	0.0715534
Zuckerman	0.0714981
Schwartz	0.0713359
Ordonez	0.0712345
"Mike Cameron"	0.0711014
"Deivi Cruz"	0.0709002
Donnelly	0.0708967
Lipstadt	0.0708115
Mckee	0.070801
Saenz	0.0708002
Stephenson	0.0707548
Segui	0.0707462
"Aaron Boone"	0.0707258
Gilman	0.0704746
Klesko	0.0702884
"Matt Lawton"	0.0702404
Dunston	0.0701471
Guillen	0.07
O'Leary	0.0698625
"Mike Lieberthal"	0.0697623
"Richie Sexson"	0.0697499
"Danny Bautista"	0.0696114
Brock	0.0695118
Arens	0.0694579
Ramirez	0.0693832
Fieger	0.0693483
Margolis	0.0692136
Abram	0.0691845
Glanville	0.0690809
Wetherell	0.0690622
"Chris Widger"	0.0690353
McGriff	0.0690231
Helton	0.0690174
"Dante Bichette"	0.068954
Clements	0.0688931
Patten	0.0688681
Fulani	0.0686356
Gillespie	0.0685967
Barrett	0.0685652
Petersen	0.068509
Merritt	0.0685014
Ricci	0.0684327
"Bill Buckner"	0.068429
Rosenberg	0.0684036
"Jose Valentin"	0.0681767
"Luis Alicea"	0.067991
Isikoff	0.0679876
Wasserstein	0.0677132
"Dave Hansen"	0.0676844
Hidalgo	0.0675882
Montiel	0.067583
Hirsch	0.0675196
Baucus	0.0674032
Monahan	0.0673779
"Bengie Molina"	0.0673619
Boone	0.0671757
))
(Blume (desc 1374.83) (sims
Harrell	0.109405
McDonnell	0.108653
Nanula	0.106866
Edelstein	0.104749
Dowd	0.103085
Spock	0.099428
Bidwill	0.0970021
Dooley	0.0952996
Dubus	0.0952159
HELLER	0.094664
Hobson	0.0927498
leeson	0.0926308
Puzo	0.0901951
Horowitz	0.0893482
Betts	0.0886576
"La Mont"	0.0886537
Parrott	0.087315
Leigh	0.0872104
Swenson	0.0864196
Solondz	0.0834327
Rubenstein	0.0832223
O'Neil	0.0829141
Hirst	0.0828263
"De Klerk"	0.0822051
Grunow	0.081708
Timlin	0.0815836
Diggs	0.0813255
Flynn	0.0812911
Podesta	0.0805757
Henley	0.0805252
Benigni	0.0797323
Mukora	0.0796627
Blackman	0.0788722
Riady	0.0786072
Vogel	0.0785978
Kurtz	0.078351
Baugh	0.0777636
Blatter	0.0774362
Tsang	0.0763718
Samuelson	0.0762612
Haney	0.075915
Finkel	0.0757428
Goldin	0.0754816
Schwartz	0.0754779
Tarver	0.0751577
Farnsworth	0.0751085
Hersh	0.075104
Ivey	0.07503
Bowles	0.0748001
Whipple	0.0743502
Grossman	0.0743121
Flaherty	0.0737859
Felton	0.0736382
Waxman	0.0735716
Mfume	0.0727215
Auerbach	0.0723713
Pearce	0.071893
Remnick	0.0718906
Jobe	0.0718481
Menuhin	0.0716917
Paxton	0.071287
Chappell	0.0705918
Caray	0.0704981
Gogel	0.0704817
Zagat	0.0698169
Janice	0.0697614
Ono	0.0697392
Felten	0.0696688
Ginsberg	0.0692204
Scharping	0.0691039
Rudenstine	0.0690687
Steinberg	0.0690114
Copeland	0.0689245
Giordano	0.0688718
Perelman	0.0687964
rickey	0.0686192
Manley	0.0682732
O'Connell	0.0681222
Halberstam	0.0681031
Sykes	0.0677928
Guthridge	0.0675826
Echols	0.0675217
Lamont	0.0670081
Bavasi	0.06677
Boller	0.0667658
Guralnick	0.0666154
Monson	0.0664317
Schmitt	0.0663115
Kay	0.0661744
Congeniality	0.066146
Weil	0.0659824
Chao	0.065881
Crocker	0.0658788
Margolis	0.0658571
Gooding	0.0658397
Feuer	0.0658082
Weisman	0.0657699
Ackerman	0.0657667
Draper	0.065703
Soto	0.0656105
Sheehan	0.0656085
Cleese	0.0655892
Peters	0.0654593
Braswell	0.065326
DiCicco	0.0651446
Advani	0.0650631
Whaley	0.0648736
Kumar	0.0646407
Cooke	0.0645929
Strahan	0.0645092
Oliveira	0.0645042
Hauser	0.0644281
Groening	0.0644197
Pryor	0.0642259
Affleck	0.0641957
Autry	0.064187
Horne	0.0640788
Merrick	0.0639449
Calvary	0.0639322
Cochran	0.0639274
Blackwell	0.0638598
Atler	0.0636757
Lacey	0.0635267
Theroux	0.0632947
Holley	0.0632819
Larson	0.0631892
Clements	0.063104
Lindbergh	0.0629649
Troussier	0.0629584
Sensenbrenner	0.0623548
Jagger	0.0622911
Caldwell	0.0622455
Gladstone	0.0622263
Stacy	0.0620652
Hendricks	0.0620411
Rosenthal	0.0618967
Kraus	0.0618433
Cheever	0.0617134
Herta	0.0616735
Hanley	0.0615986
Hess	0.0615526
Fech	0.0615178
Lurie	0.0614126
Segal	0.0613218
Hamlin	0.0611549
Lockyer	0.0609445
Sherrill	0.0608868
Whitsitt	0.0607419
Walser	0.0605659
Grasso	0.0605234
Britton	0.0605192
Nunn	0.0604672
Markey	0.0604138
Andreessen	0.0603135
Welch	0.0603016
Pfeiffer	0.0600787
Coffey	0.0600118
Kaplan	0.0598607
Darnell	0.0598331
McNally	0.0594778
Sassa	0.0594147
LANIER	0.0594031
Ghani	0.0593617
Berger	0.0593159
Farah	0.0592393
Winkler	0.0592383
Solis	0.0592057
Logue	0.0589983
McLaughlin	0.058886
Passarella	0.0587234
Bryson	0.0585306
McMahon	0.0585277
Schiller	0.058394
Popovich	0.0583919
Molinari	0.0583625
Gilkey	0.0583322
Blumenthal	0.0583252
lute	0.0582901
Colangelo	0.0581801
Marineau	0.0581492
Paltrow	0.0580657
Garza	0.0579838
Huggins	0.0576763
Lautenberg	0.0576743
Heinrichs	0.057569
Fitzgerald	0.0575565
Pegram	0.057535
Sobel	0.057511
Harman	0.0573975
Chadwick	0.0572957
Chamberlain	0.057261
Yzerman	0.0572214
Kyprianou	0.0570181
Hartwig	0.0569929
Halloran	0.0569533
Wildhorn	0.0569284
Glaber	0.0568792
Borges	0.0568731
Ruehe	0.0568622
Hendrickson	0.0567752
))
(Blumenthal (desc 6907.97) (sims
"Sidney Blumenthal"	0.289824
Currie	0.197705
Ickes	0.180989
Lindsey	0.157937
"Betty Currie"	0.155777
Podesta	0.149038
Maritz	0.141266
Colburn	0.140226
Fassett	0.138376
"Vernon Jordan"	0.137865
Barksdale	0.137054
"Harold Ickes"	0.136531
Schmalensee	0.135544
Bisek	0.130584
Willey	0.129675
"Kathleen Willey"	0.129613
"Bruce Lindsey"	0.128689
Myhrvold	0.128498
Tevanian	0.123942
Hersh	0.12068
Barshefsky	0.120434
Tripp	0.119818
McCurry	0.119713
Steele	0.119467
Bakaly	0.117353
Felten	0.116111
Lewinsky	0.11546
Reimer	0.11518
"Rahm Emanuel"	0.113066
Ratner	0.112993
Hamlin	0.109547
"Linda Tripp"	0.109269
Goldin	0.108077
Rosen	0.107018
Kodikian	0.105509
Babbitt	0.105396
Quackenbush	0.105052
Eizenstat	0.104836
Berger	0.104585
Ivey	0.104319
Kagalovsky	0.103933
Reilly	0.103903
Starr	0.10324
"Bruce Teitelbaum"	0.102823
Faget	0.101714
"George Stephanopoulos"	0.101473
Spitzer	0.101416
Caddell	0.101147
Allchin	0.101078
"David Bar-Illan"	0.0991709
Brawley	0.0984627
Harris-Lewis	0.0983211
Chung	0.0982213
Azizah	0.0978147
Kurtz	0.0977254
Shalala	0.0976332
Waxman	0.0971739
Shinn	0.0969536
Ritter	0.0968404
Cleary	0.0967997
Ruehe	0.0962001
Farber	0.0958086
Koskinen	0.0954161
"Paul Begala"	0.0952794
Yoo	0.0943849
Hess	0.0936488
hale	0.093525
McCaffrey	0.0933914
Gates	0.092964
Mohamed	0.0926007
Kurth	0.0925467
DeFrantz	0.0925027
Breuer	0.0923292
Connolly	0.0921894
Broaddrick	0.0918205
"Callista Bisek"	0.0916428
Menchu	0.091388
Sorensen	0.0913854
Flemmi	0.0913819
Mudge	0.0906459
Falk	0.090354
Hitchens	0.0899
Meissner	0.0897905
"Sergei Yastrzhembsky"	0.0894047
Danforth	0.0890815
Lockhart	0.0890318
"Al Fayed"	0.0890263
Joklik	0.0884845
LaPierre	0.0883744
Ruff	0.0883517
"Ahmed Tibi"	0.0881759
Jenoff	0.0878096
Meskini	0.0875059
Finkel	0.0873925
Huang	0.0873477
Gephardt	0.0872091
"Richard Blumenthal"	0.0866528
Kennard	0.0866421
Volpe	0.0866027
Schwarz	0.0865775
Ramsey	0.0865672
"Monica Lewinsky"	0.0865496
"Gene Sperling"	0.0864862
"Vincent Foster"	0.0862671
Neulander	0.0862507
Ganga	0.0861622
"Dick Morris"	0.0860144
Capano	0.0856155
Reno	0.0853675
Gaffney	0.0850817
Yastrzhembsky	0.0850039
Welch	0.0848992
Samaranch	0.0846748
Goldstein	0.0846535
Garza	0.0844969
Rivlin	0.0841078
Pirro	0.0839918
Cohen	0.0836371
Cuomo	0.0826777
O'Neil	0.0826596
Fieger	0.082229
Hiett	0.0820748
Ghani	0.0819799
Blatter	0.0819774
Richardson	0.081899
Greenspan	0.0818327
Patten	0.0815442
Murr	0.0811989
Jarvis	0.081087
Bronfman	0.0802557
Freeh	0.079763
Advani	0.0796295
Chubais	0.0794923
Shelton	0.0794862
Winkler	0.0794153
Burleigh	0.0793928
Newhouse	0.0792597
Lockyer	0.0791609
Kendall	0.0790549
"Monica S. Lewinsky"	0.0789798
Turetzky	0.0789079
Rosenthal	0.0788629
Haney	0.078775
Cisneros	0.0786882
Choate	0.0786305
"Russell Peeler"	0.0786204
Jewell	0.0785808
Haughey	0.0785012
Whipple	0.0780833
Cornyn	0.0780428
Mukora	0.078
Kaye	0.0779873
Goh	0.0778743
Donohue	0.077872
Eisner	0.0778305
Tagliabue	0.0775441
Goldberg	0.0775427
Margolis	0.0775247
Arbour	0.0773418
Berman	0.0772274
Zamora	0.0771483
"Bill Lockyer"	0.0768475
Riady	0.0768372
McLane	0.0766767
Moynihan	0.07659
Mikhailov	0.0765501
Weiner	0.0765348
McDougal	0.076431
Garcetti	0.0763632
"Danny Yatom"	0.0763504
"Erskine Bowles"	0.0762661
Verney	0.0762586
Berenson	0.0761711
McDonough	0.0760285
Deutch	0.0760252
Insulza	0.0760193
Molinari	0.0760143
"Eric Holder"	0.0760022
Trulock	0.0757254
Bennett	0.0756627
Bauer	0.0755937
Hanley	0.075569
Lott	0.0755614
McCall	0.0754563
Haskins	0.0754225
Ramseys	0.0753806
Weizman	0.0753709
Flanagan	0.0749281
Petersen	0.0749165
Hubbell	0.0747252
Gallagher	0.074632
Jarrell	0.0745276
Rubin	0.0745002
Wolfson	0.0743462
Eubanks	0.0741586
Rubenstein	0.0740556
Glaser	0.07403
Constantine	0.0740136
Hyde	0.0739011
Prewitt	0.0738278
))
(blunder (desc 17731.4) (sims
gaffe	0.212783
mistake	0.168105
misstep	0.147395
miscue	0.146196
error	0.141428
lapse	0.127036
miscalculation	0.120485
misjudgment	0.103483
mishap	0.0986229
failure	0.0935301
snafu	0.0922144
misjudgments	0.0915491
setback	0.0874778
misunderstanding	0.0873726
foul-up	0.0863747
slipup	0.0857081
shortcoming	0.0849235
flaw	0.0830441
mix-up	0.0825128
aberration	0.0824639
tragedy	0.08097
ploy	0.0798617
embarrassment	0.0796305
snag	0.0774794
misdeed	0.0770359
breakdown	0.0766978
glitch	0.0764097
fiasco	0.0753896
abuse	0.0749961
foul	0.0747263
transgression	0.074544
injustice	0.0739476
debacle	0.0737383
indiscretion	0.0728387
misfortune	0.0724924
letdown	0.0719638
disaster	0.0713744
breach	0.0706652
catastrophe	0.0706265
"turning point"	0.0705947
sin	0.0705944
atrocity	0.0703876
anomaly	0.0698824
accomplishment	0.0698502
Gambit	0.0694272
ineptitude	0.0691543
wrongdoing	0.0688207
wildness	0.0687005
"close call"	0.0686326
violation	0.0678114
calamity	0.0674153
reshuffling	0.0670575
fumble	0.0669567
incident	0.066891
irregularity	0.0666514
scandal	0.0665281
flop	0.0647662
mess	0.0643891
inefficiency	0.0643245
goof	0.0637887
tactic	0.0634479
"bank failure"	0.0631646
misreading	0.0630785
misconception	0.062876
excess	0.062786
blooper	0.062434
fault	0.062173
upheaval	0.062022
omission	0.0619338
incompetence	0.0617233
run-in	0.0616746
reversal	0.0615697
"waste of time"	0.0614899
stunt	0.0612704
disappointment	0.0612228
typo	0.0611998
oversight	0.0609456
trauma	0.0608597
meltdowns	0.0608557
controversy	0.0607186
misconduct	0.0606941
"bad luck"	0.0606483
inequity	0.060518
provocation	0.0604545
coincidence	0.0603669
indignity	0.0603196
nightmare	0.0602951
crises	0.0602267
folly	0.0601228
scare	0.060105
achievement	0.0600498
squabble	0.0599265
defection	0.0596694
battering	0.0596108
inexperience	0.0595659
betrayal	0.0594878
weakness	0.0594738
distortion	0.0593857
accident	0.0593599
inconsistency	0.0591987
behavior	0.0591963
misstatement	0.0591809
outburst	0.0590404
flare-up	0.0588293
deficiency	0.0587005
slump	0.0583985
massacre	0.0582479
distraction	0.0581571
breakthrough	0.0581093
stupidity	0.0578885
beating	0.0577553
misadventure	0.0573353
negligence	0.0571776
miscarriage	0.0569808
malfunction	0.0569488
woe	0.0568927
snub	0.0568426
episode	0.0568316
"policy change"	0.0566177
meltdown	0.0564991
"white elephant"	0.0564694
mixup	0.0563984
trick	0.0561969
ordeal	0.0561552
concession	0.0558162
misperception	0.0557854
turnabout	0.0557141
skirmish	0.0557075
layups	0.0556735
discrepancy	0.0556558
assault	0.0556449
seizure	0.0556206
hiccup	0.055501
interception	0.0554777
gesture	0.055414
snowstorm	0.0553686
mismanagement	0.0552805
"success story"	0.0552214
revelation	0.0552023
leak	0.0550091
manipulation	0.0549695
failing	0.0545822
quandary	0.0544761
gimmick	0.0544316
"work stoppage"	0.0544024
backlash	0.0541921
dustup	0.05417
understatement	0.0541377
"double standard"	0.0538523
heroics	0.0538312
"turn of events"	0.0537545
disclosure	0.0535814
"home run"	0.0535198
inability	0.0534396
conflagration	0.053352
complication	0.0530825
humiliation	0.052892
assertion	0.0528889
illness	0.0527479
misrepresentation	0.0526589
inaccuracy	0.0526442
shocker	0.0525892
penalty	0.0525712
gamble	0.0525186
difficulty	0.0524701
dilemma	0.0524459
pitfall	0.0524267
innovation	0.0523562
escalation	0.0523497
miscommunication	0.0520194
precedent	0.0520139
maneuver	0.0520016
allegation	0.051972
feat	0.0519699
conundrum	0.0519543
triumph	0.0519397
overreaction	0.0518971
travesty	0.0518738
"power failure"	0.051786
malpractice	0.0516402
triple-double	0.0516402
brouhaha	0.0515551
evil	0.0515093
fluke	0.0514818
"fatal accident"	0.0512124
judgment	0.051206
hypocrisy	0.0511026
interference	0.0510986
turnover	0.0509986
drawback	0.0509792
pronouncement	0.0509625
cutback	0.0508635
blowup	0.050842
disagreement	0.0507977
sabotage	0.0507875
"corruption scandal"	0.0507717
malady	0.0507266
tantrum	0.0507078
upsets	0.0506704
travail	0.0506445
))
(bluntness (desc 2636.64) (sims
candor	0.112987
understatement	0.0754948
swiftness	0.0735307
rapidity	0.0697386
specificity	0.0696646
immediacy	0.0694655
modesty	0.0692733
ebullience	0.0672122
"turn of events"	0.066736
frankness	0.0642236
turnabout	0.0641526
politeness	0.063705
bravado	0.0628986
aplomb	0.0620134
irreverence	0.0612248
"good humor"	0.0594169
boldness	0.0593146
athleticism	0.0589538
directness	0.0565222
calmness	0.0564211
self-deprecation	0.0538937
resilience	0.0535218
humility	0.0534893
quirkiness	0.052464
brashness	0.0521859
eloquence	0.0520057
stubbornness	0.0519962
alacrity	0.051886
graciousness	0.0511396
sharpness	0.050363
insouciance	0.0503314
suddenness	0.0494279
fortitude	0.0493868
heft	0.0490926
about-face	0.0484202
self-assurance	0.0477654
nonchalance	0.0476616
twang	0.0469651
flamboyance	0.0468155
ardor	0.046808
sincerity	0.0466891
genitalia	0.0459138
"sense of humor"	0.0456433
vehemence	0.0453562
composure	0.0451748
ingenuity	0.0451737
combativeness	0.0443754
"Cosby Show"	0.0439322
tenacity	0.0439224
fluency	0.0427332
erudition	0.0425679
subtlety	0.0424068
cleverness	0.0423122
versatility	0.0421266
affability	0.0414954
ferocity	0.0413889
flavour	0.0413361
explosiveness	0.0412582
vagueness	0.0411438
girth	0.0408856
hauteur	0.0408082
"a few lines"	0.0403761
))
(blur (desc 11144.9) (sims
blob	0.0732797
swirl	0.0678395
whirlwind	0.0628335
mishmash	0.0601615
crapshoot	0.0586549
nonevent	0.0583368
jumble	0.0555167
flurry	0.0544893
tint	0.052721
tangle	0.0521879
collage	0.0506777
kaleidoscope	0.049679
blizzard	0.0493488
fluff	0.048903
"piece of cake"	0.0477249
letdown	0.0473651
free-for-all	0.0471876
smudge	0.0467118
montage	0.0466562
hodgepodge	0.0454915
speck	0.0451264
cliffhanger	0.0441373
"white elephant"	0.0440291
welter	0.0440076
deluge	0.043998
juxtaposition	0.0435556
"measuring stick"	0.0435273
glow	0.043425
no-brainer	0.043216
fluke	0.0429686
mosaic	0.0429056
confluence	0.0422448
patchwork	0.0417976
spectacle	0.0416395
"chess game"	0.0415127
nightmare	0.041304
locus	0.0407958
Beehive	0.0406325
blip	0.040608
accepting	0.0403993
"ghost town"	0.0401809
backdrop	0.0400793
))
(blurb (desc 4244.5) (sims
disclaimer	0.0682325
foreword	0.0636891
paragraph	0.0634294
synopsis	0.0594285
testimonial	0.0576801
excerpt	0.0568212
"news bulletin"	0.0565394
numeral	0.05652
essay	0.055803
playlist	0.0553529
"hue and cry"	0.0542089
"last two digits"	0.0541896
Bio	0.0529576
caption	0.0524162
tagline	0.0510973
splotch	0.0505847
Jovanovic	0.0500727
"lead story"	0.0499617
jingle	0.0494646
"form letter"	0.0487304
haiku	0.0478535
byline	0.0478433
"news article"	0.047411
"frequently asked question"	0.0473722
monograph	0.0467525
postings	0.046595
"tag line"	0.0463573
"Pulitzer Prizes"	0.045899
hyperlinks	0.045875
tidbit	0.0455474
summary	0.0446586
annotation	0.0446383
obituary	0.0435097
obit	0.0432072
earful	0.0430408
MP@s	0.0429436
Webcast	0.0429137
clipping	0.0428639
play-by-play	0.0427664
"sound bite"	0.0427356
postscript	0.0424158
"Good Book"	0.0418751
"three words"	0.0416186
come-on	0.0415034
"piece of music"	0.0410615
anecdote	0.0410306
quotation	0.0404851
inscription	0.0403321
spiel	0.0403026
telemarketer	0.0400893
))
(blurring (desc 3322.99) (sims
cross-pollination	0.0774975
Convergence	0.0672678
inviolability	0.0666335
hardening	0.0629414
slackening	0.0621065
decimation	0.0612092
paucity	0.0601927
duality	0.0588915
delineation	0.058489
schism	0.0569946
delimitation	0.0562604
unraveling	0.0553113
synergy	0.0540542
narrowing	0.0523033
"dividing line"	0.0522142
dichotomy	0.0520142
fragmentation	0.0516498
nexus	0.0511105
mixup	0.0510602
juxtaposition	0.05101
erosion	0.0503415
cross-fertilization	0.0501472
miscommunication	0.0497495
Balkanization	0.048719
dearth	0.0487112
"moral hazard"	0.0485611
lessening	0.0480468
tripling	0.0478863
denigration	0.0472614
"practical application"	0.047205
interplay	0.0466529
horse-trading	0.046582
downslide	0.0463899
symbiosis	0.0458948
possiblity	0.0458913
differentiation	0.0458136
polarization	0.0449747
thawing	0.044768
"state of affairs"	0.0446405
blending	0.0445824
airing	0.043846
diminution	0.0438312
divergence	0.0436144
"boundary line"	0.0432691
"less than five percent"	0.0432581
distortion	0.0432428
disconnection	0.0430748
splintering	0.0423821
pervasiveness	0.0422181
TRIER	0.0421042
regression	0.0420796
reexamination	0.0416983
"market correction"	0.0414869
dilution	0.0413842
disharmony	0.0413236
shakeout	0.0412633
accretion	0.041101
iteration	0.0410939
mushrooming	0.0408617
iota	0.0408236
deceleration	0.0405789
mix-up	0.0405109
interrelationship	0.0400348
brightest	0.0400046
))
(Blush (desc 6110.92) (sims
lipstick	0.14946
eyeshadow	0.146573
eyeliner	0.142196
mascara	0.136816
"nail polish"	0.109985
Rouge	0.0769119
pastel	0.0729214
gloss	0.0685011
splotch	0.0655506
beige	0.0638287
chartreuse	0.0618912
lavender	0.060721
"feather boa"	0.0603981
purple	0.058097
inkling	0.0566624
fuchsia	0.053779
panty	0.0525463
periwinkle	0.0518342
wig	0.051568
hue	0.0508085
turquoise	0.0504516
lotion	0.0497209
sheen	0.0495088
poinsettia	0.0494695
band-aid	0.049399
powder	0.0472886
"contact lense"	0.0471376
"nose ring"	0.0470598
perfume	0.0467572
petal	0.0462283
smock	0.045631
tinge	0.0453583
unreality	0.0453472
"wedding ring"	0.0446691
"motor oil"	0.0441597
glimmer	0.0440502
lilac	0.0433548
flamingo	0.0433542
aquamarine	0.0425336
sobriquet	0.0422152
bandana	0.0416153
satin	0.0414428
hairdo	0.0413413
cheek	0.0411019
bonhomie	0.0410254
sacs	0.0407838
gunk	0.040767
glitter	0.0407096
"pants suit"	0.040463
BOA	0.0403259
"guardian angel"	0.0402262
stirring	0.0401302
icing	0.0400861
))
(bluster (desc 5848.05) (sims
hyperbole	0.0910885
baloney	0.0810767
posturing	0.0763274
cockiness	0.0751269
overstatement	0.0742623
flamboyance	0.0703407
rhetoric	0.0682318
brinkmanship	0.0674643
blather	0.0672957
bravado	0.0666878
swagger	0.0648445
gamesmanship	0.0636347
naivete	0.0628422
humor	0.0615287
wit	0.0601279
static	0.0597322
theatrics	0.0595805
Bombast	0.059543
drivel	0.0592765
"sour grapes"	0.0591469
finger-pointing	0.0578844
paranoia	0.0575531
suspense	0.0567565
hype	0.0566302
cynicism	0.0554019
chatter	0.0550311
guesswork	0.0546981
gumption	0.0545215
explosiveness	0.0544273
razzle-dazzle	0.0536965
fuss	0.0536169
"wishful thinking"	0.0531484
shtick	0.0529534
glitz	0.0526897
eloquence	0.0525834
hand-wringing	0.0523801
oomph	0.0523315
hoopla	0.0518421
braggadocio	0.0514423
exaggeration	0.0512803
glamor	0.0512612
"hot air"	0.0506384
fluff	0.0504246
fizz	0.0501303
moxie	0.0499267
charisma	0.0498149
symbolism	0.0495352
nonsense	0.0493548
bullishness	0.0489278
vitriol	0.0489057
hearsay	0.0487943
ambiguity	0.048639
verbiage	0.0478769
subtlety	0.0475675
anxiety	0.0468151
crap	0.0467964
arrogance	0.0465576
bewilderment	0.046485
anecdote	0.0462941
melancholy	0.0461057
gossip	0.0460743
flair	0.0458531
humility	0.0458113
hauteur	0.0456578
venom	0.0453213
negativity	0.0449784
MYSTIQUE	0.0447407
coercion	0.0447169
intangible	0.0445394
modesty	0.0443981
fanfare	0.0443868
fisticuffs	0.0441579
horsepower	0.0439384
wistfulness	0.0438794
vulgarity	0.043827
zeal	0.0438244
magnetism	0.0437543
machination	0.0437258
jingoism	0.0437089
ego	0.0436769
nostrum	0.0436601
instinct	0.0433926
nihilism	0.043371
originality	0.0433468
mentality	0.0432873
rancor	0.0432507
schtick	0.043165
angst	0.0430987
bitterness	0.0430415
propaganda	0.0429301
pathos	0.0429031
sexiness	0.0428404
defensiveness	0.0425438
silliness	0.0424009
hubris	0.0423878
nuance	0.0423791
screed	0.0422325
irony	0.0422043
ploy	0.0421962
aggressiveness	0.0420854
nonchalance	0.0420461
invective	0.0420452
brinksmanship	0.0420363
curiosity	0.0419774
spontaneity	0.0418688
playlist	0.0417573
agility	0.0416985
titillation	0.0416966
piety	0.0415337
imagery	0.0412367
"free time"	0.0412107
mendacity	0.0412093
giddiness	0.0411141
wizardry	0.0409332
oratory	0.0407696
clout	0.0405831
"double talk"	0.0405731
"special effect"	0.0405146
exuberance	0.0404661
RIPOSTE	0.0404441
disinformation	0.0403604
innuendo	0.0403543
glamour	0.0403077
erudition	0.0402168
self-pity	0.0400849
incantation	0.040045
))
(Bly (desc 1159.52) (sims
"Dwayne Goodrich"	0.158631
"Chris McAlister"	0.157479
Brazill	0.141189
"Michael Booker"	0.13428
"Mario Edwards"	0.119181
"Sam Madison"	0.114334
"Champ Bailey"	0.114024
"Ronnie Bradford"	0.111515
"Aaron Glenn"	0.109898
Jelisic	0.109392
Fortier	0.105248
Limon	0.103361
"Chris Canty"	0.102357
"Tebucky Jones"	0.101244
Manbar	0.100426
"Leon Smith"	0.0998534
"Darrien Gordon"	0.0995309
Mease	0.0992684
Whitacre	0.0988059
"Charles Woodson"	0.0966856
"Tony George"	0.0961381
"Darrell Green"	0.0939846
"Ebenezer Ekuban"	0.0939516
Markhasev	0.0905714
"Antonio Langham"	0.0890702
"Dale Carter"	0.0882994
Lileikis	0.0864769
"Devean George"	0.0861122
Akayesu	0.0858454
Bowers	0.0847822
"Steve Israel"	0.0846358
"Dez White"	0.0837866
"Phillippi Sparks"	0.0835356
Martorano	0.0831636
"Otis Smith"	0.08292
"Ty Law"	0.0826381
"John Avery"	0.0821334
Robison	0.0815942
Sweeting	0.0805347
"J.D Drew"	0.080443
Kalejs	0.0803594
McVeigh	0.0799303
Sheinbein	0.0796973
"Shawn Marion"	0.0792823
"Greg Ellis"	0.0788848
"Aeneas Williams"	0.0777846
Swango	0.0772625
Teresi	0.0766976
Mattysse	0.0764004
"Antawn Jamison"	0.0761581
Sebaggala	0.0756614
"Mike Brown"	0.0744135
"Jim Hunt"	0.0739469
Priebke	0.0739439
Noriega	0.0737286
Rideau	0.0737199
"Jason Sehorn"	0.0734677
"Ryan Roques"	0.0729404
"Curtis Enis"	0.0727252
Soliah	0.0721111
"El Hage"	0.0720424
Trantino	0.0720161
"Keith Brooking"	0.071731
"Raef LaFrentz"	0.0713375
"Patrik Stefan"	0.0708727
Mitnick	0.0700344
McDuff	0.0696733
Barrionuevo	0.0691949
"Thomas Jones"	0.0690039
Garza	0.0683929
"Andre Wadsworth"	0.0683662
"L.J Shelton"	0.0677541
Hoke	0.0676594
Hersh	0.0671628
"Ray Buchanan"	0.0670992
"Maturino Resendiz"	0.0667872
Kaczynski	0.0667519
Reimer	0.0666422
"Marques Anderson"	0.0665162
guardsmen	0.0663746
"Cuban Americans"	0.066277
Auriemma	0.0662049
"Robert Edwards"	0.0655444
Hofer	0.065358
Lundy	0.06501
"Pat Burrell"	0.0647642
"Dave Thomas"	0.0647326
"Michael Olowokandi"	0.0643143
"Toby Bailey"	0.0642598
Laudor	0.0640541
Faulder	0.0640303
Cavanaugh	0.0638774
Skakel	0.0638302
"two pitchers"	0.0630699
Bakaly	0.0629064
"Jason Bell"	0.0626435
Berenson	0.0626367
"Jumaine Jones"	0.0626086
"Kevin Mathis"	0.0620416
"Jeff Weaver"	0.0615396
"JEVON KEARSE"	0.0611566
D'Amico	0.0608761
"Sebastian Janikowski"	0.0605127
"David Boston"	0.0604385
Woodson	0.0601734
Pryor	0.0601402
Papon	0.0593036
LeFave	0.0592256
Ziegler	0.0590031
Hazelwood	0.0589916
Evan	0.0584945
Luciano	0.0584429
"Larry Brown"	0.0581928
Karr	0.0580798
wrongdoer	0.0576492
"Dirk Nowitzki"	0.0575622
"Solomon Page"	0.0570839
resister	0.0570436
"Jose Jimenez"	0.0569897
Natale	0.0568948
"Peerless Price"	0.0568445
"Scott Gomez"	0.0567998
furrow	0.0567199
Stepanova	0.0566693
Beckwith	0.0564895
"Angel Maturino Resendiz"	0.0564246
Agca	0.056331
"Skip Hicks"	0.0560692
Volpe	0.0560161
Symington	0.0559599
"Brenden Morrow"	0.0559577
Padilla	0.0557247
"Patsy Ramsey"	0.055647
Capano	0.0555296
Sithole	0.0553313
Dobbs	0.0552277
Carollo	0.0551247
"Raul Salinas"	0.0550733
Schweitzer	0.0549899
"Andy Katzenmoyer"	0.0549643
Azad	0.0549359
Garofalo	0.0543267
"J.R Redmond"	0.054321
Elhage	0.0542994
Lehmann	0.0542828
"Donovan McNabb"	0.0542691
"Justin Volpe"	0.0541819
"Louise Woodward"	0.0541582
Gallagher	0.0541549
Gravano	0.05413
"Trung Canidate"	0.0538667
"Chamique Holdsclaw"	0.053748
Hiett	0.0537017
Switzer	0.053683
chun	0.0536716
Solomon	0.0535838
"Jason Fabini"	0.0535784
"Al Harrington"	0.0534276
"Chris Johnson"	0.0532068
Mahoney	0.0532038
"Todd MacCulloch"	0.052883
Fagan	0.0528122
Maggette	0.0528037
Abernathy	0.0527814
Blackthorne	0.0526891
"Kevin Faulk"	0.0526256
Carneal	0.0524309
Kluivert	0.0523597
Jenoff	0.0519764
"Mike Bibby"	0.0519565
Blanton	0.0519563
Falater	0.0519324
Deri	0.0516888
KEVORKIAN	0.0515198
Strauss-Kahn	0.0514442
"Flozell Adams"	0.0513792
McMellon	0.0513305
Yosef	0.0513257
Alarcon	0.0512831
Ruggiero	0.051186
looper	0.0511548
"Wane McGarity"	0.0511246
Mendez	0.0510498
Naipaul	0.0509834
Winkler	0.0509265
"Mark Madsen"	0.0504668
Collymore	0.0503151
Cisneros	0.0502288
Batouty	0.0501483
Bergeron	0.0500008
Francois	0.0499115
Cleary	0.0498955
Baumhammers	0.0498516
Diaz	0.049798
"Elton Brand"	0.0497765
Merlino	0.0496903
scofflaw	0.049567
Kambanda	0.0495669
Imperatori	0.0494309
Anelka	0.0493996
))
(Blyth (desc 1577.25) (sims
Gallinger	0.0757312
Alvarez	0.0745637
Sha	0.0717349
McCurry	0.0711884
Dungy	0.0692247
Piot	0.0684399
Boles	0.0657611
Ruggiero	0.0645471
"Spinal Tap"	0.0622924
Ballesteros	0.0614533
Brister	0.0609122
BORAS	0.0599955
Polian	0.0595824
BENSON	0.0594455
"Macao Affairs Office"	0.0593717
Garber	0.058488
LU	0.0583905
Hayworth	0.0583393
Johnston	0.0565835
Kissinger	0.0565687
Lukashenko	0.0563709
Blume	0.0562968
"market watcher"	0.0561987
Freeh	0.0559718
Klestil	0.0552235
Goran	0.0549567
Ortiz	0.0547072
Arias	0.0532824
Lowry	0.0531217
ANGELOS	0.0530031
Blaine	0.0528987
Malu	0.0526438
jacoby	0.0524855
Qiao	0.0520623
Odeh	0.0519219
Uliassi	0.0512748
Ogata	0.0512644
Chai	0.0507993
Rossello	0.0507431
Ismail	0.0507243
doubter	0.0507051
Sakakibara	0.0507044
Hu	0.0504278
Lehane	0.0504239
Sellers	0.0503656
Dunlap	0.0500005
Boggs	0.0498937
"Dave McGinnis"	0.0497743
Costin	0.0495693
co-pilot	0.0495542
Guidry	0.0493931
Lamont	0.0493188
Larsen	0.0492056
FAWCETT	0.0490943
Shula	0.0488157
Paciello	0.0487725
LeBlanc	0.0486932
Alves	0.04869
Kornberg	0.0483212
Bullard	0.0482573
Kennard	0.0476945
Feuer	0.0473529
Bratton	0.0470637
Picard	0.047023
Cooley	0.0470208
Ramon	0.0469872
Legace	0.0469815
Montalvo	0.0468629
Shipman	0.0468538
Brody	0.0467699
Azad	0.0466085
Indyk	0.0463873
Imperatori	0.046352
Sheehan	0.0462168
Kasoulides	0.0462116
Ness	0.0458394
Barrie	0.0457166
Condit	0.045716
Mackey	0.0455184
Monson	0.044895
Aurelio	0.0447957
Caray	0.0446553
"Dave Matthews"	0.0443887
McGuire	0.0441204
Campos	0.0439789
"John Robinson"	0.0439297
Harmon	0.043889
Bavasi	0.0436717
"Dee Dee"	0.0435367
"Joint Liaison Group"	0.0435362
Monahan	0.0433892
Evan	0.0432952
Smitherman	0.043265
Timmy	0.0432645
"Zhou Nan"	0.0431231
Krasniqi	0.0430787
Westphal	0.0430415
Elliot	0.0430362
Richards	0.0430073
Skiles	0.0429848
Hamlin	0.0428697
Biden	0.0428448
Dierker	0.0428404
Smyers	0.0426753
Fu	0.04264
"viewing audience"	0.0425474
al-Tikriti	0.0425372
"Bob Kraft"	0.0424742
Teresi	0.0423968
Riady	0.0423331
Tsang	0.0422472
Conner	0.0422007
Colangelo	0.0421271
Cavallo	0.0420604
Goldin	0.0420175
Madden	0.0419903
Nate	0.0419367
Bain	0.0417845
"Van Sant"	0.0414811
"Kevin Keegan"	0.0414468
Nasrin	0.0414404
TALBOT	0.0414077
rickey	0.0413607
Jarvis	0.0412705
Muckler	0.0410879
Malkovich	0.0410686
Davey	0.0410673
"Quincy Carter"	0.0410435
Kharrazi	0.040853
Cynthia	0.0407744
Evernham	0.0407119
Pape	0.0407093
Ahern	0.0407084
Benedetti	0.0406691
Gomez	0.0406279
Soyinka	0.0405381
Mandella	0.0405365
Ren	0.0405115
Magaziner	0.040464
Baca	0.0404629
Ikeda	0.0404369
"Drought Relief Headquarters"	0.0404342
Devine	0.04042
Lyn	0.0404117
Villanueva	0.0403977
"Sang Lan"	0.0403755
Radojevic	0.0400673
))
(BMG (desc 3750.76) (sims
EMI	0.31524
PolyGram	0.182372
"Deutsche Grammophon"	0.156786
"Universal Music Group"	0.15242
universal	0.141296
Bertelsmann	0.140823
Philips	0.134896
Sony	0.133774
Viacom	0.112003
Seagram	0.11195
"Time Warner"	0.109862
Motown	0.102217
"Viacom Inc."	0.101686
MGM	0.099264
RCA	0.097259
"Walt Disney"	0.0960931
"Knight Ridder"	0.0950551
"Walt Disney Co."	0.0930769
"Time Warner Inc."	0.0923698
"Reed Elsevier"	0.0908988
"Sony Corp."	0.0907485
Disney	0.0892789
Warner	0.0890272
TCI	0.0885231
"Seagram Co."	0.0856136
Hitachi	0.0845173
"Times Mirror"	0.083788
Matsushita	0.082487
"Warner Bros."	0.0823072
Compaq	0.0815684
ZIFF-DAVIS	0.0805011
Genzyme	0.0802963
Panasonic	0.0802001
"National Thoroughbred Racing Association"	0.0795848
"Warner Brothers"	0.0795137
"Gannett Co."	0.0792297
SFX	0.0787385
SGI	0.0787111
EMC	0.0773513
"Miramax Films"	0.0771926
NEC	0.0762084
Novartis	0.0757707
Cablevision	0.0755047
AHP	0.0753032
"BP Amoco"	0.0751024
MCA	0.0749278
"Nippon Telegraph"	0.0747105
"Kraft Foods"	0.074541
Hasbro	0.0745177
Aegon	0.0744891
"Hearst Corp."	0.0739116
paramount	0.0731687
"Fannie Mae"	0.072962
ExciteAtHome	0.0729251
Toshiba	0.0727106
"Conde Nast"	0.0723432
"News Corp."	0.0722014
"Universal Pictures"	0.0719316
"American Home"	0.0715124
ADM	0.0712659
"Tele-Communications Inc."	0.071161
Hearst	0.0711161
"Cox Communications"	0.0710838
"Time Inc."	0.0710396
Fiat	0.0709614
"Hollywood studio"	0.0702888
Sega	0.0697403
Miramax	0.0696764
"AMR Corp."	0.0692525
Chrysler	0.0691152
HP	0.0691032
"Republican Leadership Council"	0.0689496
IBM	0.0686159
Sepracor	0.0682024
"Federated Department Stores"	0.0682017
"Oracle Corp."	0.0681172
Thomson	0.0680332
"Philip Morris"	0.0678717
Pitney	0.0677704
AXA	0.0675294
Qualcomm	0.0673635
Livent	0.0673244
DaimlerChrysler	0.0672428
"MCI WorldCom"	0.0671825
"America Online"	0.0669325
Daimler-Benz	0.0668246
DreamWorks	0.0667056
"Roundabout Theater Company"	0.0666244
"Con Ed"	0.0663672
Nestle	0.0662181
SBC	0.0661597
"Universal Studios"	0.0660358
Siemens	0.0659881
NTT	0.065878
Hewlett-Packard	0.0657744
Seagate	0.0657681
"L.L Bean"	0.0656627
"General Motors Corp."	0.0654195
TYCO	0.0652113
Motorola	0.0651778
IMG	0.0650941
Monsanto	0.0649832
Arista	0.064894
VICKERS	0.0648372
Citicorp	0.0646257
HKMA	0.0644058
MP@.com	0.064186
UAL	0.0640175
Softbank	0.0634601
Kodak	0.0634314
"Coca-Cola Co."	0.0632367
MCI	0.0632179
Enron	0.0630312
Pearson	0.0628975
BASF	0.062845
"Softbank Corp."	0.0622754
Ciena	0.0622561
Amgen	0.0622391
Daimler	0.062194
Pepsico	0.0620977
"R.J Reynolds"	0.0620928
"Lockheed Martin Corp."	0.0619717
"U.S. Agriculture Department"	0.0618055
Nintendo	0.0617908
"Ford Motor Co."	0.0615138
"Microsoft Corp."	0.0613359
RealNetworks	0.0612228
"US West"	0.0610809
Pfizer	0.0610645
ICI	0.0609143
BellSouth	0.0606139
AutoNation	0.0604848
"UAL Corp."	0.0604841
Dupont	0.0603834
Akamai	0.0602585
Raytheon	0.0601736
Comcast	0.0599444
"Johnson &AMP; Johnson"	0.0598003
Sibneft	0.0597923
Hoechst	0.0597917
Telkom	0.0597022
CDnow	0.0596947
"Bausch &AMP; Lomb"	0.0596433
GANNETT	0.0594937
"General Electric Co."	0.0594916
Genentech	0.0594627
Honeywell	0.0593507
"Ministry of International Trade and Industry"	0.0593291
"Raytheon Co."	0.0591688
"USA Network"	0.0591481
Lucasfilm	0.0589279
Samsung	0.0589144
"Eli Lilly"	0.0588707
"Sprint Corp."	0.0586991
Duracell	0.0583466
Coca-Cola	0.0582194
Amway	0.0582133
SAirGroup	0.0581952
"Ministry of Trade and Industry"	0.0580446
"GE Capital"	0.0579591
UCI	0.0576593
Toyota	0.0575654
Vivendi	0.0574285
JAL	0.0574138
"SmithKline Beecham"	0.0574026
Cisco	0.0573944
"P&AMP;G"	0.0572862
Roche	0.0572757
"Georgia Power"	0.0572332
Danka	0.0570449
Handspring	0.0570046
Hewlett	0.0569656
DoubleClick	0.0568133
UBS	0.0564672
"Blue Cross"	0.0563812
Scientific-Atlanta	0.0563324
oracle	0.0562562
"Turner Broadcasting"	0.056113
"Tribune Co."	0.0559868
Astra	0.0559598
"PG&AMP;E"	0.0559097
AMR	0.0558793
Omnicom	0.0558244
"Barry Diller"	0.0558143
Renault	0.0557784
Starwood	0.0557554
REVLON	0.0556754
EA	0.0556703
Loral	0.0555893
"Compaq Computer Corp."	0.0555689
Nokia	0.0554781
"Mattel Inc."	0.0554049
RWE	0.055284
Celera	0.0550486
RIAA	0.0549971
"National Electoral Commission of Nigeria"	0.0549205
"Procter &AMP; Gamble"	0.0549039
Intel	0.0548929
"General Electric"	0.0548852
Hancock	0.0547216
))
(BMI (desc 1957.19) (sims
p/e	0.14982
"gross income"	0.0997467
Seng	0.091123
Pe	0.0908501
IQ	0.089403
"sweet tooth"	0.0883805
"credit history"	0.077669
"retirement age"	0.0762323
"personality disorder"	0.0750912
"blood pressure"	0.0747329
"table of contents"	0.0712945
dosage	0.0688936
"secondary education"	0.0678954
molar	0.0643982
RPI	0.0633227
"muscular dystrophy"	0.0623998
"Top @@@"	0.0623084
"won @"	0.0592259
DAX	0.0583648
T-cells	0.0582453
FT-SE	0.0579668
"life expectancy"	0.0573544
horoscope	0.0569253
"pay rate"	0.056431
"guardian angel"	0.0564032
"anxiety disorder"	0.0557349
"surface area"	0.055678
capitalization	0.0556713
CAC-@@	0.0540559
"won eight"	0.0539021
seniority	0.05382
smallness	0.0535181
half-dozen	0.053032
Twenty-five	0.0529681
"won nine"	0.0524176
"risk factor"	0.0523158
angina	0.0520057
"security clearance"	0.0519877
"cup of tea"	0.0514527
cholesterol	0.0513383
braid	0.0512112
"turnover rate"	0.0509412
"debt load"	0.0509361
IPC	0.0509315
predisposition	0.0506708
"name and address"	0.0505738
"strong belief"	0.0504547
"line of work"	0.0500231
clothes	0.0499821
"hair follicle"	0.0498956
clicker	0.0495274
"high blood pressure"	0.0494804
"heart rate"	0.0494138
"frame of reference"	0.0493602
narcolepsy	0.04931
"CAC @@"	0.0492736
NPLs	0.0490339
"tax liability"	0.0489967
Nikkei	0.0489655
"cardiovascular disease"	0.0489496
"cost of living"	0.048678
clipboard	0.0486055
CPI	0.0478351
"mortality rate"	0.0474883
AFI	0.0473724
"leading indicator"	0.0470147
impairment	0.047011
"middle finger"	0.0468804
"natural ability"	0.0467972
autism	0.0466822
SDMI	0.0465995
"earning per share"	0.0465638
playlist	0.0465388
"right to privacy"	0.0463416
"test score"	0.0462727
"take-home pay"	0.046195
"Free Trade Agreement"	0.0460971
probability	0.0459969
"vested interest"	0.0459572
Momma	0.0456791
Osteoporosis	0.0450433
"More than nine"	0.0449772
VANTAGE	0.0449571
mileage	0.0448699
"flow rate"	0.0448166
blackness	0.0447851
ferret	0.0447379
"credit rating"	0.0446711
"mind's eye"	0.0443236
"average cost"	0.0443224
semicolon	0.0440479
"medical history"	0.0439496
mastectomy	0.043937
hairline	0.0439243
"legal age"	0.0438917
RAMBUS	0.0438413
"blood sugar"	0.0437338
SSE	0.0437066
MP@.com	0.0433752
"cerebral palsy"	0.0431844
"blood type"	0.0431359
Parkinson's	0.043106
C-section	0.0429961
taskbar	0.0429509
"water table"	0.0428343
"battle plan"	0.0427003
dyslexia	0.0426747
palate	0.0426497
"tax rate"	0.042222
"poverty rate"	0.0421954
"grade point average"	0.0421668
megaphone	0.0418122
"relative humidity"	0.0418077
retardation	0.0417133
"voter turnout"	0.0415983
Lipper	0.0414888
boob	0.0413697
sinus	0.0413657
soulmate	0.0413137
co-writer	0.0412636
thyroid	0.0411937
preconception	0.0411723
leper	0.0410976
"Social Security number"	0.0410161
"data file"	0.0409351
Bovespa	0.0408656
"more than six"	0.0406695
beeper	0.0405812
"fellow traveler"	0.0405584
"random sample"	0.0405067
birthrate	0.0402574
"toll call"	0.0402529
parentage	0.0402418
"over $@@@,@@@"	0.0401877
"heart condition"	0.0400818
dementia	0.0400352
))
(BMW (desc 31092.9) (sims
Volkswagen	0.271475
Audi	0.264653
Volvo	0.254138
Mercedes-Benz	0.235247
Toyota	0.214709
Porsche	0.209546
Saab	0.205774
Lexus	0.19942
Renault	0.197197
Honda	0.196299
Fiat	0.191314
Nissan	0.190332
Chrysler	0.186322
Mercedes	0.178335
DaimlerChrysler	0.175018
Daimler-Benz	0.167856
Ford	0.165883
Mazda	0.164866
Cadillac	0.161869
Acura	0.159336
"Volkswagen AG"	0.156427
"General Motors"	0.1564
Mitsubishi	0.156057
VW	0.155614
"Mercedes Benz"	0.155225
Infiniti	0.151787
Citroen	0.147526
"Ford Motor Co."	0.142605
Rolls-Royce	0.141926
Peugeot	0.140473
Opel	0.139148
Subaru	0.134036
"Land Rover"	0.131268
Hyundai	0.131052
"Deutsche Telekom"	0.128484
Mannesmann	0.127765
"Daimlerchrysler AG"	0.127745
Buick	0.127443
"Ford Motor"	0.126229
Daewoo	0.124722
Siemens	0.124173
"General Motors Corp."	0.123057
GM	0.120667
Oldsmobile	0.119422
Unilever	0.117655
Jaguar	0.117501
Daimler	0.115635
"Deutsche Bank"	0.115462
Isuzu	0.113663
Compaq	0.11284
BMWs	0.110897
Saturn	0.110744
rover	0.110156
Chevrolet	0.10785
Olivetti	0.107208
Bentley	0.107034
IBM	0.104324
Kia	0.104194
Motorola	0.103
"Ford Motor Company"	0.10032
Coca-Cola	0.0999592
"MCI WorldCom"	0.0999358
Boeing	0.0995054
corvette	0.0993535
BellSouth	0.0988869
Daimler-Chrysler	0.098327
"Coca-Cola Co."	0.0975466
Skoda	0.0973138
"General Electric"	0.097299
NIKE	0.0968239
automaker	0.096257
NatWest	0.0958374
Pfizer	0.0955567
"Toyota Motor Corp."	0.0954918
"Rolls Royce"	0.0950908
Hoechst	0.0944025
Lamborghini	0.094121
RJR	0.0938317
Bridgestone	0.0933642
Raytheon	0.0927014
Bertelsmann	0.092489
"Bell Atlantic"	0.0914231
Ericsson	0.0911018
Ferrari	0.0910024
"Time Warner"	0.0904733
"Chrysler Corp."	0.0901046
Exxon	0.0898496
Samsung	0.0896083
McKesson	0.0894236
Mattel	0.0890995
"Walt Disney Co."	0.0886014
Qwest	0.0884867
Kodak	0.0883624
Seagram	0.0883332
Ge	0.0882848
Sony	0.0882535
Intel	0.0880467
Vodafone	0.0878757
Pepsico	0.0878235
Monsanto	0.087783
jeep	0.0877584
Bayer	0.0875151
Warner-Lambert	0.0874383
"Dell Computer Corp."	0.0873049
automakers	0.0870789
Viacom	0.0869402
"Telecom Italia"	0.086911
"Philip Morris"	0.0865999
"British Aerospace"	0.0865498
Bestfoods	0.0864186
BASF	0.0861527
"P&AMP;G"	0.0857219
Passat	0.0854915
"BP Amoco"	0.0853681
Sedan	0.0852795
Dell	0.0847075
Scania	0.0846947
Telefonica	0.0845314
Lincoln	0.0844435
"Thermo Electron"	0.0842958
"station wagon"	0.0841547
Nortel	0.0839585
"News Corp."	0.0839017
Alcoa	0.0837094
VENATOR	0.0834576
WorldCom	0.0832703
Vivendi	0.0823467
Harley-Davidson	0.0822186
Alcatel	0.0818989
Dupont	0.0812836
Hewlett-Packard	0.0810139
"Mitsubishi Motors"	0.080681
Hitachi	0.0804663
AMR	0.08042
LVMH	0.0804096
SBC	0.0802731
Citigroup	0.0797663
REVLON	0.0796758
Cisco	0.0794268
"RJR Nabisco"	0.0791931
Honeywell	0.0791107
Mobil	0.0789953
"National Grid"	0.0789735
"General Electric Co."	0.0788225
"Learning Co."	0.0783876
dodge	0.0783119
Disney	0.0782717
TYCO	0.0781278
Sunbeam	0.0778667
"Ford Taurus"	0.0776979
Chevy	0.0776468
Litton	0.0774417
"Societe Generale"	0.0773829
"American Home Products"	0.0772716
Nokia	0.0771647
Gillette	0.0770279
"Nissan Motor Co."	0.0769576
Lycos	0.0769419
"America Online"	0.0769089
CMGI	0.0768756
Suzuki	0.0767079
Nabisco	0.0766165
Pontiac	0.07631
"Johnson &AMP; Johnson"	0.076297
Cablevision	0.0758086
Lockheed	0.0756953
"Lockheed Martin"	0.0753717
"Lucent Technologies"	0.0751461
Krupp	0.0749819
"Global Crossing"	0.0747416
"Compaq Computer Corp."	0.0746513
Microsoft	0.0745787
"Procter &AMP; Gamble"	0.073993
EMC	0.0739755
"Phelps Dodge"	0.0736873
"Pratt &AMP; Whitney"	0.0735142
"Renault SA"	0.0734881
Viag	0.0733794
"American Home"	0.0733478
GMC	0.0733235
coke	0.07326
Philips	0.0732185
Aetna	0.073029
"Mannesmann AG"	0.0729662
Thyssen	0.0727723
UBS	0.0724308
"auto maker"	0.0723389
Hasbro	0.0721146
Anheuser-Busch	0.0719356
SmithKline	0.0717677
UAL	0.0715519
"Sara Lee"	0.0715186
BankBoston	0.0713895
COLTEC	0.0710881
"Hearst Corp."	0.070936
"Times Mirror"	0.0709251
MCI	0.0708278
Nestle	0.0706685
convertible	0.0705325
Pepsi	0.0704593
))
(BMWs (desc 3452.13) (sims
Porsches	0.249488
Ferraris	0.191061
Cadillacs	0.141023
Mercedes	0.126441
Porsche	0.12399
Lexus	0.121875
BMW	0.110897
"Jeep Grand Cherokee"	0.100896
Buicks	0.0978381
Lamborghini	0.0977391
"Land Rover"	0.0939417
Volvo	0.0917731
Audi	0.0904186
corvette	0.0891274
"Mercedes Benz"	0.0881474
Cadillac	0.0872097
Jaguar	0.0858877
"sports car"	0.0851981
"Jeep Cherokee"	0.0847062
minivans	0.084292
Chevys	0.0805073
"Ford Taurus"	0.0800887
minibuses	0.0795548
Acura	0.0775142
Pontiacs	0.0774583
"station wagon"	0.0768919
convertible	0.0767593
Saab	0.0757231
mini-buses	0.0755618
SUVs	0.074977
Hummer	0.0747289
"cash bonus"	0.0741217
"Volkswagen Beetle"	0.0740723
mini-vans	0.0737199
jeep	0.0716131
"Chevrolet Monte Carlo"	0.0704507
Mercedes-Benz	0.0702885
"Land Cruiser"	0.0697769
Humvees	0.0686131
Bentley	0.0683896
"Chevrolet Suburban"	0.0676939
Rolls-Royce	0.067609
"pickup truck"	0.0664507
Motorcycle	0.0659873
"Range Rover"	0.0658515
minivan	0.0657859
"electric car"	0.0652864
motorbike	0.064985
Passat	0.0647637
"Toyota Camry"	0.0635665
Camaro	0.0633761
Sedan	0.063255
Chrysler	0.0632543
roadster	0.0625147
"garbage truck"	0.0623481
Honda	0.0614059
SUV	0.0596104
"fire truck"	0.0595077
limousine	0.0594091
locomotive	0.0593105
tractor	0.0584092
Skoda	0.0582313
Ferrari	0.0580499
B-@s	0.0576446
"passenger car"	0.0572044
"stock car"	0.0558329
"Toyota Corolla"	0.0557227
A@@@-@@@	0.0557033
"patrol car"	0.0552507
"tractor trailer"	0.055185
Rolex	0.0551116
"line of products"	0.0548281
"school bus"	0.0548169
"Audi A@"	0.0547372
"mink coat"	0.0543561
"railway car"	0.0543484
hatchback	0.0540001
"delivery truck"	0.053947
A@@@s	0.0539097
Alero	0.0537097
"Lincoln Town Car"	0.0531361
"police car"	0.0525771
Taurus	0.0522285
Toyota	0.051624
"Ford Focus"	0.0505105
double-decker	0.0504167
Coupe	0.0503575
Ambulance	0.049962
"Ford Explorer"	0.0499364
Peugeot	0.0498257
"train ticket"	0.0496083
"Honda Accord"	0.0495537
hearse	0.0494482
Volkswagen	0.0492606
"shuttle bus"	0.048615
skyboxes	0.04832
trinket	0.0482237
midsize	0.0475697
Limo	0.0468434
Oldsmobile	0.0465371
"motor scooter"	0.0465087
"racing car"	0.0462383
"army tank"	0.0458107
sport-utility	0.0458036
Buggy	0.0457883
speedboat	0.0456472
"Ford Explorers"	0.0455425
"traveler's check"	0.0453549
Rockefellers	0.045329
"Chevrolet Blazer"	0.0451438
"personnel carrier"	0.0449848
"profit sharing"	0.0449387
Mazda	0.0447799
impala	0.0447594
"fire engine"	0.0446256
MiG-@@s	0.0446225
Picassos	0.0445546
"Honda Civic"	0.0443433
rover	0.0442172
Thunderbird	0.0442006
tractor-trailers	0.0441055
semitrailer	0.0440085
T-@@	0.0439853
F-@@s	0.0435692
V@@	0.0433337
"Jet Skis"	0.0432052
taxicab	0.0427959
"dump truck"	0.0427028
"car insurance"	0.0425491
Plymouth	0.0424521
Prius	0.0422771
DC-@s	0.0418581
moped	0.0415265
"fighter aircraft"	0.0412466
viper	0.0412063
"airplane ticket"	0.0409146
Jetta	0.0408589
MD-@@s	0.0405007
Kia	0.0404595
Mini-bus	0.0403794
knickknack	0.0403774
Opel	0.0402879
A@@@	0.0401182
))
(BN (desc 3111.62) (sims
"Barisan Nasional"	0.195872
PML-N	0.12261
Lakas-NUCD	0.117419
UF	0.106895
PDP	0.0980323
PASOK	0.0977286
NKP	0.0969755
CCM	0.0960822
Zanu-pf	0.0955272
"Nepali Congress"	0.0949218
center-right	0.0922101
"United Front"	0.0920959
"Lesotho Congress"	0.0906444
"Awami League"	0.0880264
"Nationalist Party"	0.0865863
FRELIMO	0.0864565
"National Front"	0.0847615
MPLA	0.0841849
"Canadian Alliance"	0.0838955
Kanu	0.0838176
BJP	0.083662
UNIP	0.0830114
RPR	0.081758
"Likud Party"	0.0814152
Golkar	0.0811937
"New Korea Party"	0.0810817
"Parti Quebecois"	0.0795942
"National Action"	0.0787713
MMD	0.0779644
NDA	0.0778252
"People's Alliance"	0.0775967
"Kenya African National Union"	0.0773054
"National Democratic Alliance"	0.0758147
Brasil	0.0756563
"U.S. STOCKS"	0.0756102
"General Council"	0.0751095
Zajedno	0.0748139
JMC	0.0739464
NDP	0.0739085
"Zimbabwe African National Union-Patriotic Front"	0.0729469
"Colorado Party"	0.0729406
"House Budget Committee"	0.0728727
"Yomiuri Shimbun"	0.0727483
"Pakistan Muslim League"	0.072287
PML	0.0710547
Klaus	0.069474
DPP	0.0684507
"United Malays National Organization"	0.0683831
"Rwandan Patriotic Front"	0.068344
NRM	0.0677946
"National Resistance Movement"	0.0672386
ZANU	0.067032
AmCham	0.0667559
Chavalit	0.0666484
PA	0.0658458
NC	0.0655899
ACB	0.0654579
PCC	0.06508
Lakas	0.0642883
Poplasen	0.0641559
CDU	0.0638976
"Cambodian People's Party"	0.0638135
LDP	0.063791
"Democrat Party"	0.063753
UML	0.0636867
Tory	0.0630183
"Conservative Party"	0.0630037
SDLP	0.0625011
BNP	0.0622304
dovish	0.0620535
PPP	0.0618315
"Democratic Left"	0.0616878
"House International Relations Committee"	0.061242
Scelzi	0.0610555
"People's Democratic Party"	0.0609333
"Ulster Unionist"	0.06092
"Banking Committee"	0.0608964
"Senate Budget Committee"	0.0607939
Likud	0.0607775
PAP	0.060321
UMNO	0.0596795
"Senate Governmental Affairs Committee"	0.0594947
"Congress Party"	0.0591326
Seizinger	0.0590356
Italia	0.0589456
"Nihon Keizai Shimbun"	0.0586059
PDI-P	0.0586058
Katsav	0.0585421
"Vision @@@@"	0.05853
CPN-UML	0.0584871
"Democratic Alliance"	0.0580264
"Labor Party"	0.0579707
Tankan	0.0578605
"State Peace and Development Council"	0.0575836
pro-Islamic	0.0575673
"Golkar Party"	0.0574894
CPP	0.0573061
"Democratic Revolution"	0.0571564
Sandinistas	0.0571078
"Asahi Shimbun"	0.0570583
Al-Thawra	0.0568446
"African National Congress"	0.056697
ANC	0.0565901
"Islamic Movement"	0.0564381
NSC	0.056376
Solis	0.0562898
"Democratic Left Party"	0.0562773
McGreevey	0.0562102
"Nihon Keizai"	0.0557005
Asahi	0.0556704
MDC	0.0553377
"Institutional Revolutionary Party"	0.0543418
"Rules Committee"	0.0541098
SDS	0.0540721
Tsvangirai	0.0533152
"State Law and Order Restoration Council"	0.0533123
Gowda	0.0532322
Yomiuri	0.052889
CMAG	0.0527602
"Liberal Party"	0.0527344
"home rule"	0.0526881
IPU	0.0523454
"National Democratic Party"	0.0523019
hardline	0.0522427
Prodi	0.0521941
"Social Democrat"	0.0520907
"Motherland Party"	0.0520181
Yadav	0.051707
INEC	0.0516557
DSE	0.0515495
"Christian Democrat"	0.0514614
"Socialist Party"	0.0513026
Meciar	0.0512992
UDF	0.0509034
"Chinese NPC"	0.0508971
Ershad	0.0506988
Renamo	0.0506794
CCF	0.05059
"Revolutionary Party"	0.0505886
"Red Star"	0.0504561
PRI	0.0504164
Biffle	0.0503999
eco	0.0500821
WEF	0.050005
FORD-Kenya	0.0498566
Goetschl	0.0495407
"House Commerce Committee"	0.0494118
PATA	0.0493515
"Christian Democratic Union"	0.0492599
"National Post"	0.0492589
BUSINESSES	0.0491492
BASQUE	0.0491359
"Senate Appropriations Committee"	0.0490777
Vasile	0.0490247
CSC	0.049009
SMIs	0.0489629
FEDERALIST	0.0489481
UNAMET	0.04818
"rocket fuel"	0.0479835
CEC	0.0477734
"Bangladesh Nationalist Party"	0.0476851
"Herri Batasuna"	0.0476282
"Croatian Democratic Union"	0.0475792
"National League for Democracy"	0.0475262
Gujral	0.0474897
"Council of State"	0.0474463
"Liberal Democrats"	0.0472513
roper	0.0471743
Rawabdeh	0.0471241
"Social Democrats"	0.0470784
NEA	0.0469983
"Australian Cricket Board"	0.046976
"Popular Party"	0.0468956
"House Appropriations Committee"	0.046576
NP	0.046482
"Senate Banking Committee"	0.0463285
NASD	0.0463219
Nateq-Nouri	0.0463067
"Bharatiya Janata Party"	0.0460545
HDZ	0.0459071
Bloomberg	0.0458549
SPD	0.0457659
pro-western	0.0456074
Eyadema	0.0454844
CIRC	0.045474
Yilmaz	0.0453446
Echostar	0.0452903
"Cox News Service"	0.0452131
Zairian	0.0451838
"Blue Dog"	0.0451489
royalist	0.0451264
"Vietnamese Communist Party"	0.0451045
Bucaram	0.0449667
Jamaat-e-Islami	0.0449577
CSU	0.0449506
labour	0.0449288
"Social Democratic"	0.044893
Briscoe	0.0448844
Nicol	0.0448706
"People's Party"	0.0448422
))
(BNFL (desc 719.621) (sims
Daiwa	0.129953
Genzyme	0.123194
Nepa	0.120085
Loewen	0.117673
Eisenman	0.114396
Difrancesco	0.112605
Rylander	0.112017
Gehry	0.107851
RJR	0.106847
MTA	0.103377
"Russian Space Agency"	0.102697
Cathay	0.101889
"Lockheed Martin Corp."	0.101288
KPA	0.100883
"British government"	0.100781
Humana	0.100323
PDVSA	0.100187
FPL	0.0993218
"EU Commission"	0.0992629
whomever	0.098846
Marineau	0.0987869
Wada	0.098535
Chadwick	0.0981368
VW	0.0974042
Holl	0.0969851
Ciampi	0.0962397
"Southern Co."	0.0961664
ENTERGY	0.0956092
BOC	0.0950658
Gullit	0.0946131
SAA	0.0936331
Icahn	0.0930642
WPP	0.0929445
"True North"	0.0929137
Hyundai	0.091669
"Sara Lee"	0.0909326
AHP	0.0908963
"Abbott Laboratories"	0.0906002
BSA	0.0905705
GEC	0.0899087
EBRD	0.0894857
Adelphia	0.0891747
Zacarias	0.0888163
Litton	0.0884067
Ruehe	0.088129
"PG&AMP;E"	0.0875441
"Con Ed"	0.0874949
IEA	0.0872278
HCFA	0.08716
Bertelsmann	0.086952
CIRC	0.0869024
"Health and Welfare Ministry"	0.086902
PLN	0.0867737
"Australian Olympic Committee"	0.0867079
ICI	0.0867014
Nomura	0.0862868
"Harvard Pilgrim"	0.086118
TYCO	0.0860911
Rodionov	0.0856831
Pemex	0.0856024
Kulikov	0.0852967
meatpackers	0.0851009
"Consolidated Edison"	0.0850981
USTA	0.0850446
"BellSouth Corp."	0.0843816
"Hughes Electronics"	0.0842128
Pirelli	0.0841258
Georgia-Pacific	0.0840229
Bayer	0.0838219
"Delphi Automotive Systems"	0.0835547
Dreyfus	0.0835388
Stearns	0.0835263
Emery	0.0834707
EPA	0.0832693
"Ford Motor Company"	0.0832552
IAI	0.0830816
YankeeNets	0.0828957
"Census Bureau"	0.0824152
TAZARA	0.0822109
CNOOC	0.081752
SDB	0.0816939
SLOC	0.0816314
Starwood	0.0816306
JAL	0.0816085
SDPC	0.0814938
"Food Lion"	0.0814601
NTT	0.0807588
"Daewoo Group"	0.080723
Lucasfilm	0.0806035
Murayama	0.0805596
Quokka	0.0804662
Alltel	0.0802492
"Northrop Grumman"	0.0802269
Ovitz	0.0801958
Uunet	0.0799672
"Department of Environmental Protection"	0.0799146
Citron	0.0796341
Juppe	0.0793027
CCB	0.0792525
Roberds	0.0790091
Magaziner	0.0786202
SAS	0.0783345
BASF	0.0779979
Seagate	0.0779754
Waigel	0.0775418
ING	0.0773387
FRA	0.0773338
"Georgia Power"	0.0773255
Roski	0.0772112
Breaux	0.0771552
USEC	0.0771237
ZCTU	0.0771022
Icann	0.077095
SPP	0.0770004
"U.S. Agriculture Department"	0.0769564
"Southwestern Bell"	0.0768394
CAA	0.0768198
Coelho	0.0768017
Coia	0.0766544
CAAC	0.0764986
PETROBRAS	0.0764437
Grachev	0.0764025
Abernathy	0.0763788
COSCO	0.0763367
Hilton	0.0763125
McCown	0.0762656
Bernabe	0.0762516
CCA	0.076227
Yukos	0.0762018
goverment	0.0761271
UBS	0.0760011
"Delta @"	0.0758838
"Andersen Consulting"	0.0758805
"Washington Mutual"	0.0757189
AMR	0.0757098
"Industry Ministry"	0.0756808
KONI	0.075646
CBO	0.0754831
"Clinton Administration"	0.0754085
"Aetna Inc."	0.0752606
Sumitomo	0.0751203
Akayev	0.0749614
UNDCP	0.0749517
Lilco	0.0747987
Ingalls	0.0746348
Delphi	0.0746051
Roche	0.0745574
SMG	0.0745162
Cargill	0.0743711
CNPC	0.0742945
spina	0.0742419
iXL	0.0741672
ITC	0.0741472
"Northeast Utilities"	0.0741311
Alcatel	0.0741217
"General Motors Corp."	0.0740523
CCE	0.07385
"American Association of Health Plans"	0.0738083
CalPERS	0.0737789
Raytheon	0.0736255
"Bear Stearns"	0.0735361
OPIC	0.0734209
ICBC	0.0733856
Ciena	0.0733126
"GE Capital"	0.0733091
AOC	0.0732366
NTL	0.0732151
hodgson	0.0731786
Olivetti	0.0731003
McCaw	0.0730706
NiSource	0.0729739
Schreiber	0.07295
MetLife	0.0729252
Cendant	0.0727453
"Nippon Credit"	0.0727083
Vivendi	0.0724423
"De Soto"	0.072361
Caldor	0.0723334
"Computer Associates"	0.0722181
"Commerce Ministry"	0.0720661
Aetna	0.072056
Finkel	0.0717548
LVMH	0.0716651
"U.S. Soccer Federation"	0.0714386
"Wyeth-Ayerst Laboratories"	0.0714108
Google	0.0711205
Waddell	0.0710545
USDA	0.0710173
Esser	0.0709316
"R Block"	0.0707624
TRW	0.0706289
Granic	0.0706182
"Glenn Hoddle"	0.0703952
Santorum	0.0703818
Softbank	0.0703271
"Pacific Lumber"	0.070227
MII	0.0702185
Coen	0.0700709
AFA	0.0699918
PSE	0.0699273
))
(BNP (desc 14278.4) (sims
"Bangladesh Nationalist Party"	0.318495
"Awami League"	0.256805
Jamaat-e-Islami	0.163416
"Jatiya Party"	0.159816
BJP	0.14339
"Bharatiya Janata Party"	0.139098
UNIP	0.134923
"United National Party"	0.132707
"Nepali Congress"	0.132332
UNP	0.132179
"Socialist Party"	0.128161
"Congress Party"	0.128073
Renamo	0.127589
"Pakistan Muslim League"	0.127158
"National Party"	0.124804
CPN-UML	0.123027
"African National Congress"	0.117803
"People's Party"	0.114518
"National League for Democracy"	0.11222
"Kenya African National Union"	0.111861
PPP	0.111851
Kanu	0.111483
Awami	0.111208
"Labor Party"	0.110349
FRELIMO	0.109394
MMD	0.109352
Olivetti	0.108984
MQM	0.107402
NC	0.106114
ANC	0.105319
MDC	0.104316
CUF	0.104164
FUNCINPEC	0.10402
Likud	0.103955
Zanu-pf	0.103858
NLD	0.103252
UML	0.102904
"Phelps Dodge"	0.101091
Golkar	0.100888
PML	0.100065
"Inkatha Freedom Party"	0.0995345
"Conservative Party"	0.0993935
"Communist Party"	0.0990345
"National Action"	0.0989304
CCM	0.0980651
"Janata Dal"	0.0976339
"Liberal Democratic Party"	0.0976015
CPP	0.0972778
PDP	0.0966766
LDP	0.0959398
"Social Democratic Party"	0.0950475
"Democratic Party"	0.0944602
CDU	0.0944448
"Sam Rainsy Party"	0.0943113
"Liberal Party"	0.0935375
"United Front"	0.093316
PRI	0.0928242
"Likud Party"	0.0927171
PML-N	0.0925251
PASOK	0.0924324
Meretz	0.0924015
"Social Democrats"	0.0922984
"Grand National Party"	0.0918235
"Institutional Revolutionary Party"	0.0913128
Zajedno	0.091243
"New Aspiration Party"	0.0907448
"Christian Democratic Union"	0.0903858
"Nationalist Party"	0.0901445
"Pakistan People's Party"	0.0901036
"National Action Party"	0.08988
Shas	0.0897133
"Khaleda Zia"	0.0894168
"Bank of Scotland"	0.0892295
"United Democratic Movement"	0.0886015
JP	0.0885696
FORD-Kenya	0.0885652
Otpor	0.0879511
NRM	0.0872778
Yabloko	0.0858499
"United National Independence Party"	0.0855207
"National Front"	0.0843278
"Sam Rainsy"	0.0840025
"Cambodian People's Party"	0.0838344
UNITA	0.0830628
"Democratic Progressive Party"	0.0829721
MPLA	0.0828601
Tory	0.0825243
ZCTU	0.082242
"Islamic Jihad"	0.0820526
"Center Party"	0.081959
"New Party"	0.0819517
"Begum Khaleda Zia"	0.0815908
IFP	0.081266
"Croatian Democratic Union"	0.0808845
"New Democracy"	0.0803473
SPD	0.0802661
"Ulster Unionist"	0.0801809
opposition	0.079899
"political party"	0.0798615
"Ulster Unionist Party"	0.0796967
"Christian Democrats"	0.0795935
"United Malays National Organization"	0.0795132
NKP	0.0791535
RUF	0.0788897
"Indonesian Democratic Party"	0.0786341
"Lesotho Congress"	0.0785211
"Democrat Party"	0.0780811
SDLP	0.078052
UUP	0.0779554
Berisha	0.0778144
"Social Democratic"	0.0775007
SPLA	0.0774338
NP	0.0770314
"Sinn Fein"	0.076909
"National Democratic Party"	0.0764812
"Muslim Brotherhood"	0.0764768
"National Resistance Movement"	0.0764268
"Canadian Alliance"	0.0763002
Gesher	0.0761726
"Vietnamese Communist Party"	0.0760976
RPP	0.0759136
"trade union"	0.0755976
Fatah	0.0755814
Lakas-NUCD	0.0755712
"Banque Nationale"	0.075543
UF	0.0753443
"Republican House"	0.0750077
Koirala	0.0749127
Zapatistas	0.0748524
Taliban	0.0748143
"Golkar Party"	0.0747463
"Colorado Party"	0.0741904
"Societe Generale"	0.0741312
FN	0.0740097
"Herri Batasuna"	0.0738544
NCEC	0.0737225
Vodafone	0.0736882
"opposition party"	0.0735389
Vasile	0.0732395
"Parti Quebecois"	0.0732332
"Ulster Unionists"	0.0731527
"Northern Alliance"	0.0729015
"Revolutionary Party"	0.0726619
"Royal Bank"	0.0719571
RPR	0.0717926
unionist	0.0717874
UDF	0.0716306
PDI	0.0715741
Sandinistas	0.0712772
faction	0.0711811
Histadrut	0.0710452
PKK	0.0709733
NDP	0.070928
"Virtue Party"	0.0708881
NDF	0.0708524
HDZ	0.0707
socialist	0.0705884
"National Religious Party"	0.0705215
Ranariddh	0.0704571
"New Korea Party"	0.0702744
Hezb-i-Islami	0.0702255
Communist	0.0699616
MILF	0.069695
Mugabe	0.0694086
DAP	0.0694036
ETA	0.0693007
"Green Party"	0.0689378
Paribas	0.0689232
"Hun Sen"	0.0687175
"Democratic Revolution Party"	0.0686224
PUK	0.0685475
Coalition	0.0684956
"Motherland Party"	0.0683941
"Russian Communist Party"	0.0683473
"Baath Party"	0.0682672
"Christian Social Union"	0.068262
Inkatha	0.0680351
Mobutu	0.068016
"Megawati Sukarnoputri"	0.0679961
PA	0.0673925
"Labour Party"	0.0672215
Totalfina	0.0672119
Chavalit	0.0670993
Amal	0.0670441
Hamas	0.0669489
"Serbian Renewal Movement"	0.066718
"People's Alliance"	0.0666735
"Popular Party"	0.0664495
junta	0.0657657
Lakas	0.0656364
Alliance	0.0656008
Pd	0.0651494
Hasina	0.0649719
"election commission"	0.0649548
PCF	0.0649249
"Democratic Left"	0.0649234
Buyoya	0.0649156
LCD	0.0648993
"Khmer Rouge"	0.0647583
"Democratic Revolution"	0.064555
))
(Bo (desc 7228.78) (sims
Xin	0.1438
Kenema	0.114987
Makeni	0.107502
Juba	0.098171
Ying	0.0870362
Matadi	0.0855466
Sidon	0.084571
Gudermes	0.0839917
Huambo	0.081789
Kizlyar	0.0815498
Peshawar	0.0798238
Taloqan	0.0787937
Kisumu	0.0786583
Bulawayo	0.0762472
Lubumbashi	0.0761975
Baalbek	0.0760708
Marjayoun	0.0745926
Posoltega	0.0720852
Yong	0.0712508
Jian	0.0705181
Beersheba	0.0703658
Bamiyan	0.0695862
Warri	0.0688617
Irbil	0.0685291
Sihanoukville	0.0683783
Yi	0.0678573
Vukovar	0.067816
Kono	0.0675575
Kisangani	0.0662675
Urus-Martan	0.0654937
Joshua	0.06533
NIS	0.0652784
Najaf	0.0649574
Basra	0.0646406
Mazar-i-Sharif	0.0643433
Gnjilane	0.0639064
Kuito	0.0635629
Baidoa	0.0631658
Haifa	0.0627853
"Wang Wei"	0.0626463
Bushehr	0.0626296
Izmit	0.0623035
Jezzine	0.0622519
Gerald	0.0622162
Kandy	0.0620205
Manado	0.0619671
"San Pedro Sula"	0.0619603
Jalalabad	0.0611656
Ensenada	0.0611024
Leskovac	0.0606765
Hyderabad	0.0605737
Guayaquil	0.0605679
Livingstone	0.060393
Izmir	0.0603163
Xiang	0.0597647
Freetown	0.0596278
Kandahar	0.0594563
Herat	0.0592395
Wei	0.0591539
Chittagong	0.0591299
Meng	0.059101
Haicheng	0.0589217
Baotou	0.0587914
Sanya	0.0587672
Mazar-e-Sharif	0.0586528
Prizren	0.0585785
Adana	0.0583707
Min	0.0583211
CHANGCHUN	0.0583135
Novosibirsk	0.0576273
Lhokseumawe	0.0574721
Trincomalee	0.0573402
Rafah	0.0571054
Paphos	0.0566789
Gisenyi	0.0558443
Steven	0.0558406
Golmud	0.0557352
Jayapura	0.0556807
Kailahun	0.0555342
Leon	0.055453
Ashkelon	0.0553256
Antalya	0.0551689
"Brooke Bennett"	0.0549739
Jolo	0.0548177
Jaffna	0.054491
Aswan	0.0542438
Lille	0.0537846
"Banja Luka"	0.0537566
"Kosovska Mitrovica"	0.0536847
Dushanbe	0.0536582
Shali	0.0536564
Mbarara	0.0535657
Aachen	0.0535517
Yan	0.0531666
Mombasa	0.0531169
Kindu	0.0529966
Uvira	0.0529346
Ben	0.0527525
Yu	0.0525392
Mbale	0.052434
Pereira	0.0524318
Goma	0.0523886
Medan	0.0523515
Chisinau	0.0523089
Bissau	0.0523001
"Ciudad Juarez"	0.0521398
Jacob	0.0520313
Cebu	0.0517636
Tao	0.0517401
Kismaio	0.0517085
Bailundo	0.0516557
Steve	0.0515445
Vavuniya	0.0515402
Mashhad	0.0514245
Jin	0.0513773
PEC	0.0513013
Gulu	0.0512362
Sevastopol	0.0510001
Nabatiyeh	0.0508947
Casas	0.0508677
Dan	0.0508281
Abidjan	0.0507809
"Port Elizabeth"	0.0504553
Grozny	0.050424
Matthew	0.0503778
"Santo Domingo"	0.050329
"Novi Sad"	0.0502019
Walkerton	0.0501654
Christopher	0.0500375
Phillip	0.0500071
Ramallah	0.0499506
Gary	0.0498854
Golcuk	0.0498766
Pailin	0.0497917
Quetta	0.0497829
Gerard	0.0497089
Odai	0.0496077
Jericho	0.0495024
Urosevac	0.0494736
Kukes	0.049435
Jim	0.0492171
Khalid	0.0491961
Zhong	0.0490767
Murmansk	0.0490296
Mitrovica	0.0490265
Kinshasa	0.0489229
Redford	0.0489073
Qiang	0.0488473
Julian	0.0487037
Hastings	0.0486763
Catania	0.0486016
Brcko	0.0485808
"Kosovo Polje"	0.0484226
Baoding	0.0483117
Aden	0.0482499
Batticaloa	0.048172
Evan	0.0480299
Beira	0.0478627
Nakuru	0.0478471
Ur	0.0477982
Yang	0.0476655
Arua	0.047662
Mandalay	0.0474554
Saida	0.0472254
Bethlehem	0.0472157
Tong	0.0471635
Cardenas	0.0471565
Turgeon	0.0470636
Weihai	0.0469474
Limassol	0.0466301
Hui	0.0466025
Quanzhou	0.0465597
Mostar	0.046545
Jeb	0.0464765
Jonathan	0.0464608
Gdansk	0.0464455
Luanda	0.0464243
Jeddah	0.0464125
Mohammed	0.0463421
Jeremy	0.0463254
Ju	0.0462479
Kabul	0.0460948
Argun	0.046051
TEGUCIGALPA	0.0460166
Multan	0.0460065
Ivan	0.0460016
Atambua	0.0458976
Bukavu	0.0458458
Medellin	0.0458045
Kabwe	0.0457286
Ismailia	0.0457239
Charikar	0.0457113
Dandong	0.0456974
Anthony	0.0455711
Surabaya	0.0455646
Jenin	0.0455413
Andulo	0.0454321
Dubrovnik	0.0454158
Durres	0.0450925
Zhejiang	0.0450853
))
("Bo Jackson" (desc 1250.58) (sims
"Tony Dorsett"	0.161002
"Walter Payton"	0.154628
"Earl Campbell"	0.136528
"Charles Woodson"	0.132687
"Jerome Bettis"	0.116184
"Herschel Walker"	0.11275
"Mike Cloud"	0.108912
"Shaun Alexander"	0.103375
"Ron Dayne"	0.102084
"Doak Walker"	0.101327
"Ty Detmer"	0.0939122
"Emmitt Smith"	0.0927648
"Leon Lett"	0.0926269
"Ricky Williams"	0.0912575
"Garrison Hearst"	0.0905396
"Byron Hanspard"	0.0892597
"Barry Sanders"	0.0892344
"Eric Dickerson"	0.0888832
"Marcus Allen"	0.0886949
"Eddie George"	0.0885549
"Gary Brown"	0.0872939
"Curtis Enis"	0.0871414
"Bruce Smith"	0.0867972
"Karim Abdul-Jabbar"	0.0862157
"Charlie Garner"	0.0854995
"Warrick Dunn"	0.0853927
"Reggie White"	0.0853669
"Dorsey Levens"	0.0806588
"Mark Tuinei"	0.0794488
"Jamal Lewis"	0.0780085
"Trung Canidate"	0.0771038
"Jim Brown"	0.0768881
"Ricky Watters"	0.0766458
"Tiki Barber"	0.0753348
"Cecil Collins"	0.0745103
"Reggie Jackson"	0.0740899
"Eric Cantona"	0.0738459
"Thomas Jones"	0.0737778
"Koji Ito"	0.073737
"Susanthika Jayasinghe"	0.07311
"Bryant Young"	0.0724035
"O.J Simpson"	0.0719515
"Kevin Faulk"	0.0714379
"Sedrick Shaw"	0.0714194
"Adrian Murrell"	0.071039
"J.R Redmond"	0.0699373
"John Avery"	0.0687685
"Joe Paterno"	0.0677785
"Michael Irvin"	0.0671732
"Fred Taylor"	0.0670685
"Joe Namath"	0.0667167
Musgrove	0.0665655
"Darren Woodson"	0.0664096
"Brett Favre"	0.0655932
"Mike Alstott"	0.0650909
"Daryl Johnston"	0.0649185
"Richard Hatch"	0.0643984
"Michael Wiley"	0.0641313
"Roger Staubach"	0.0640939
"Dominique Wilkins"	0.0637911
"Terrell Davis"	0.0634709
"Thurman Thomas"	0.0629965
"Christine Arron"	0.0627819
"Jesse Owens"	0.0623522
"Marshall Faulk"	0.0619641
"Willie Mays"	0.0617343
"Old Trieste"	0.0612506
"Stephen Davis"	0.0604036
"Randall Godfrey"	0.0603139
"Warren Sapp"	0.0596134
"Hu Weidong"	0.0595234
"Jerry Rice"	0.0589767
"Edgerrin James"	0.0589493
"James Johnson"	0.0588971
"Randy Moss"	0.0585454
"Sam Snead"	0.0582853
"Hidetoshi Nakata"	0.0581613
"Frank Gifford"	0.0577449
"Ernie Mills"	0.0576049
"Ozzie Newsome"	0.0575652
"Champ Bailey"	0.0565984
"Mike Schmidt"	0.0562063
"Danny Wuerffel"	0.0561444
"Lawrence Phillips"	0.0560107
"Hristo Stoichkov"	0.0559444
"Jason Tucker"	0.0556209
"Inge de Bruijn"	0.0551411
"Ali Daei"	0.0548322
"Mike Caruso"	0.0543683
"Skip Hicks"	0.0542347
"Tyrone Wheatley"	0.0539523
"Joe Montana"	0.0538949
"Aeneas Williams"	0.0538534
"Marie-Jose Perec"	0.053777
"Larry Allen"	0.0537513
"Winning Colors"	0.0533475
"Larry Centers"	0.0533033
"Thurgood Marshall"	0.0532561
"Sela Ward"	0.0532444
"Robert Edwards"	0.0532067
"Nolan Ryan"	0.0528274
"Billie Jean King"	0.0527241
"Darrell Green"	0.0526609
"David Palmer"	0.0525834
"Leon Johnson"	0.0523991
"Terry Allen"	0.0522902
Titleist	0.0521402
"Chad Morton"	0.051952
"Craig Ludwig"	0.0514452
"Dennis Eckersley"	0.0513271
"Bruny Surin"	0.0512653
"Joe Dumars"	0.0509447
"Al Unser Jr."	0.0508101
Anees	0.0503536
"Jimmy Connors"	0.0497007
Daylami	0.0494737
Longo	0.049345
"Regina Jacobs"	0.0492718
"Gabriel Garcia Marquez"	0.0492286
"New Balance"	0.0491797
"Corey Pavin"	0.0491552
"Johnny Miller"	0.0490413
"Seve Ballesteros"	0.0488628
"Miguel Indurain"	0.0487769
"Hale Irwin"	0.0487664
"Don Drysdale"	0.0487649
"Keith Brown"	0.0479963
"Andre Braugher"	0.0478454
"Mary Slaney"	0.0477644
"Martina Navratilova"	0.0477443
"Ty Cobb"	0.0474733
"Gheorghe Hagi"	0.0474609
"Chris McAlister"	0.0473634
"Yogi Berra"	0.0472795
"Vladimir Samsonov"	0.0468731
"Curtis Strange"	0.0468696
"Mark Richardson"	0.0468414
"Eddie Cheever"	0.0468198
"Juan Montoya"	0.0467419
"Mats Wilander"	0.046582
"Seth Etherton"	0.0464522
"Andre Rison"	0.046426
"Jeff Garcia"	0.0463119
"Brenden Morrow"	0.0461588
"Billy Davis"	0.0459879
"Larry Mize"	0.0455098
"Fan Zhiyi"	0.0454986
"Richard Gere"	0.0454277
"Picabo Street"	0.0450694
"Peter Warrick"	0.0450306
Hootie	0.0450225
cecil	0.0450139
"Manny Fernandez"	0.0448893
"Tom Seaver"	0.0448724
"Hao Haidong"	0.0448712
Ince	0.0446901
"Guy Carbonneau"	0.0446616
"George Weah"	0.0446428
SDS	0.0446389
"Michelle Akers"	0.0443224
"LaVar Arrington"	0.044265
"Janet McTeer"	0.0442432
"Ben Hogan"	0.0441467
"Roger Maris"	0.0441115
"black person"	0.0439719
"Nick Faldo"	0.0438552
"Scott Thornton"	0.043844
"Sergei Fedorov"	0.0437851
vote-getters	0.0436275
"William Shatner"	0.0435713
"Halle Berry"	0.0435196
"Sachin Tendulkar"	0.0434766
"Robert Smith"	0.0434132
"Gary Player"	0.0433875
"Desert Hero"	0.0432941
"Bob Feller"	0.0432912
"Anthony Johnson"	0.043247
STALEY	0.0431313
"John Connally"	0.0431023
Cepeda	0.0430976
barrister	0.0430573
"Lamar Smith"	0.0430337
"Tim Brown"	0.0430016
"Magic Johnson"	0.042915
nonwhites	0.0429032
"Shanghai Sharks"	0.0426868
"Faustino Asprilla"	0.0425719
"Major Applewhite"	0.0425325
"Marco Etcheverry"	0.0424924
Seaver	0.0423349
"Jumaine Jones"	0.0423108
Hendry	0.042158
"Awesome Again"	0.0421489
"Barry Bonds"	0.0420916
"Pete Rose"	0.0420074
"Kirk Franklin"	0.0418942
"Stan Collymore"	0.0418543
"Dennis Franz"	0.0417959
"Karrie Webb"	0.0413628
"Gary Anderson"	0.0412561
))
(BOA (desc 2414.7) (sims
"feather boa"	0.169368
"stiletto heel"	0.142223
pantsuit	0.115197
panty	0.103573
overcoat	0.101565
legging	0.101177
"hot pants"	0.100954
headband	0.0972115
G-string	0.0960512
"felt hat"	0.093535
knickers	0.0923481
Poncho	0.0921779
Thong	0.0909578
Cape	0.0883464
cardigan	0.0879567
turtleneck	0.0876904
Tutu	0.0851166
raincoat	0.0843605
shawl	0.0841183
leotards	0.0840269
prosthesis	0.0837827
nightgown	0.0818092
"leather jacket"	0.0813679
windbreaker	0.0811547
vest	0.080354
mitten	0.0802873
miniskirt	0.0788492
caftan	0.078588
blouse	0.0782565
sweatshirt	0.0768653
wig	0.0755749
Bonnet	0.0753246
"evening gown"	0.0746382
carnation	0.0744515
sweater	0.0743879
"bathing suit"	0.0743091
"bowler hat"	0.0739253
collar	0.0733565
miniskirts	0.0723609
turban	0.0715194
bellbottoms	0.0712658
"body armor"	0.071244
taffeta	0.0711352
bodysuit	0.0708408
stole	0.0704869
"nail polish"	0.0693668
"name tag"	0.0693105
sandal	0.0692788
Speedo	0.0683797
"polo shirt"	0.0681623
tiara	0.0681016
smock	0.068026
slipper	0.0674336
mohair	0.0673718
"trench coat"	0.0670062
sequin	0.0664001
brassiere	0.0663555
"ball gown"	0.0661554
tights	0.065751
skullcap	0.0656217
waistcoat	0.0652885
yarmulke	0.0649182
feathers	0.0647574
pigtail	0.0647417
headdress	0.0646281
"cowboy boot"	0.0644298
tux	0.0643866
bandanna	0.063782
corduroy	0.0634174
tunic	0.0630987
necklace	0.0630389
bathrobe	0.0624469
undershirt	0.0622334
velvet	0.0619432
"ski mask"	0.0616686
trouser	0.0612422
bougainvillea	0.0611552
"running shoe"	0.0610001
"dress shirt"	0.0608222
donkey	0.0605119
bandana	0.0598933
robe	0.0596502
parka	0.0596342
"bow tie"	0.0596317
pullover	0.0592395
bikini	0.0591629
scarf	0.0587031
lipstick	0.0585956
Sari	0.0584337
"baseball cap"	0.0582757
sunglasses	0.0579075
muffler	0.0579026
frock	0.0578974
wristband	0.0577707
headgear	0.0577396
blackface	0.0575592
OCA	0.0575414
"combat boot"	0.0574859
"pants suit"	0.0573704
mule	0.0571564
slicker	0.0571233
duster	0.0568087
cockatoo	0.0566747
vestment	0.0566442
"boxing glove"	0.0563317
Wada	0.0562434
HKFA	0.0559863
jumpsuit	0.0555855
pajama	0.0554329
suspender	0.0552413
"hard hat"	0.0550131
"rubber boot"	0.0545251
handbag	0.0543139
crocodile	0.053912
hyena	0.0539057
fedora	0.0532866
opal	0.0532478
Sash	0.053176
tuxedo	0.0531509
tweed	0.0530673
corset	0.0528835
satin	0.0528654
knapsack	0.052793
canary	0.0527587
Lantana	0.0526455
geranium	0.0526047
impatiens	0.0525676
trousers	0.052531
bib	0.0524482
F.A	0.0524038
beret	0.0522923
"Star of David"	0.0518329
eyeglass	0.051806
cuff	0.051601
armband	0.051184
abalone	0.0511122
curler	0.0510094
Versace	0.0508814
AHA	0.0507178
camisole	0.0506784
gardenia	0.0506759
"life preserver"	0.0506474
"mink coat"	0.0506326
topper	0.050581
CSA	0.050561
ITTF	0.0504185
spandex	0.0499119
linoleum	0.0498786
stiletto	0.0498167
python	0.0496848
NSC	0.0496477
kimono	0.0495498
"British Foreign Office"	0.0495388
UNIP	0.0494807
ITF	0.0493218
"dark glasses"	0.0491225
loafer	0.0488618
cheetah	0.0488392
hamster	0.0488114
"life vest"	0.048486
Rottweiler	0.0482329
"wedding ring"	0.0480878
trapper	0.0480721
sloop	0.0479504
"dress uniform"	0.0476498
parakeet	0.047574
ACB	0.0474747
"tennis shoe"	0.0473599
neckline	0.0473339
"fur coat"	0.0473075
"business suit"	0.0470814
hand-me-down	0.0469873
mink	0.0469511
CIRC	0.0468801
"walking stick"	0.0468684
blinder	0.0467373
"sports jacket"	0.0467253
"military uniform"	0.0466701
alligator	0.0465501
"black tie"	0.0465429
sarong	0.0465321
pastel	0.0464964
DFB	0.0464933
lightbulb	0.0464452
"evening dress"	0.0462972
IEC	0.0462812
INEC	0.0462574
"safety belt"	0.0462534
stocking	0.0461487
"evening bag"	0.0456736
"EU Commission"	0.0455951
choker	0.0455631
"guardian angel"	0.0455327
bustier	0.0454378
MCC	0.0453004
eel	0.0451483
halter	0.0451106
bluejeans	0.0450498
PCC	0.0447121
UTC	0.0446548
))
(boar (desc 4085.52) (sims
"wild boar"	0.198818
elk	0.151723
deer	0.13821
pheasant	0.12467
yak	0.122082
bison	0.11783
oxen	0.114974
moose	0.111407
antelope	0.109029
"mountain lion"	0.108518
leopard	0.108124
rabbit	0.107857
peacock	0.105542
rhinoceros	0.104737
"bighorn sheep"	0.0998985
"black bear"	0.0978529
pig	0.0969895
waterfowl	0.0964425
venison	0.095893
elephant	0.0941389
raccoon	0.0934629
quail	0.0928975
"snow leopard"	0.0917466
squirrel	0.0916146
geese	0.0888225
chipmunk	0.0877033
goat	0.0863024
gazelle	0.0853724
sheep	0.0828003
rhino	0.082179
ostrich	0.07844
alligator	0.0777236
armadillo	0.0766409
turtle	0.075704
hog	0.0755743
zebra	0.0745969
giraffe	0.0744097
monkey	0.0736881
mastodon	0.0725713
whale	0.0721918
otter	0.071922
porcupine	0.0698244
donkey	0.0694729
ox	0.0691812
cattle	0.0687132
wolf	0.068619
tarpon	0.067858
"wild horse"	0.0674057
"prairie dog"	0.0670654
snake	0.0668073
orangutan	0.0667432
beaver	0.0666358
llama	0.0665848
"Bengal tiger"	0.0648748
skunk	0.0647656
camel	0.0647638
crocodile	0.0644982
owl	0.0636098
caribou	0.0634855
hedgehog	0.0633526
Pony	0.0623719
baboon	0.0619035
lion	0.0616732
Buffaloes	0.0612161
"gray whale"	0.0609391
"rare bird"	0.0607977
"red deer"	0.0596723
walrus	0.0591597
"golden eagle"	0.0589067
hyena	0.0576932
"transport ship"	0.0573653
mice	0.0569055
lamb	0.0565524
Partridge	0.0559709
fawn	0.0554379
calf	0.0548154
"rack of lamb"	0.0537136
"sperm whale"	0.0528702
cheetah	0.0517758
"sea turtle"	0.0514949
Stagecoach	0.0514164
gopher	0.0511016
pigeon	0.0507766
bruiser	0.0502285
swan	0.0502049
unicorn	0.0501932
chimpanzee	0.0498047
hippo	0.04965
eel	0.049147
tortoise	0.0490413
kangaroo	0.0490066
"beef cattle"	0.0486658
hare	0.0476935
"giant panda"	0.0475467
"minke whale"	0.0472645
heifer	0.0470832
frog	0.046744
"Texas longhorn"	0.0461963
pontoon	0.0461743
hamster	0.0459477
porpoise	0.0458801
mammal	0.0456687
lynx	0.0455026
Demps	0.0453295
sleigh	0.0453075
poultry	0.0452172
goose	0.0448805
fowl	0.0445985
"brown bear"	0.0445934
ibis	0.0442392
swordfish	0.0441122
carp	0.0432773
flamingo	0.0430541
mugger	0.0427036
cougar	0.0426221
possum	0.0425223
starling	0.0425076
python	0.0423196
amphibian	0.0423076
gorilla	0.0421747
Vulture	0.0418523
sturgeon	0.0413013
piglet	0.0412727
rooster	0.041208
lark	0.0410876
sable	0.0410356
bobcat	0.0410292
hen	0.0407746
"robbery suspect"	0.0407479
"blue crab"	0.040655
"farm animal"	0.0406064
"grizzly bear"	0.0406017
"ice crystal"	0.0402779
reptile	0.0401456
dragonfly	0.0401248
"right whale"	0.0400947
))
(board (desc 199819) (sims
"board of directors"	0.205969
committee	0.192238
Council	0.186992
commission	0.17709
panel	0.174319
"board of trustees"	0.133712
"board member"	0.122906
"school board"	0.120466
cabinet	0.119458
court	0.119267
agency	0.118402
Congress	0.116668
legislature	0.115025
department	0.113919
"chief executive"	0.112912
"task force"	0.112823
"city council"	0.112704
shareholder	0.111609
Senate	0.110685
staff	0.11049
"Supreme Court"	0.110394
"Security Council"	0.108467
IOC	0.10738
official	0.106028
government	0.104439
"board of education"	0.103933
office	0.103249
regulator	0.10324
FDA	0.102578
subcommittee	0.101767
chairman	0.101267
Assembly	0.10112
parliament	0.100787
authority	0.100507
"Justice Department"	0.100163
President	0.0986213
management	0.0979306
trustee	0.0978739
judge	0.0977474
association	0.0973816
executive	0.0959596
organization	0.0959176
union	0.0958482
"advisory board"	0.095492
FCC	0.095257
body	0.095226
administration	0.0937931
commissioner	0.0936274
director	0.0930917
"ethics panel"	0.0924989
jury	0.091682
ministry	0.0914324
group	0.0910971
"Food and Drug Administration"	0.090527
"Judiciary Committee"	0.0903949
member	0.0884849
"Federal Communications Commission"	0.0879718
bureau	0.0870155
"general assembly"	0.0870126
team	0.0868664
"U.N. Security Council"	0.0865328
"House Judiciary Committee"	0.086479
FAA	0.0863773
"appeals court"	0.0861343
side	0.0860589
"board of regents"	0.0857209
company	0.0856504
SEC	0.084942
"federal government"	0.0840117
"Securities and Exchange Commission"	0.0837445
"House of Representatives"	0.0834587
"International Olympic Committee"	0.0832542
EPA	0.0831179
federation	0.0830924
"executive council"	0.0828448
FTC	0.0826885
chief	0.0826626
"European Commission"	0.0826132
"high court"	0.0825357
prosecutor	0.0821372
manager	0.0814717
lawmaker	0.0812738
"Federal Trade Commission"	0.0809428
"court of appeals"	0.0803173
tribunal	0.0796668
post	0.0795313
"central bank"	0.0794233
unit	0.079232
Governor	0.0790067
leadership	0.078791
floor	0.0783342
employee	0.0782713
system	0.0781802
Duma	0.0781372
state	0.0778636
"National Transportation Safety Board"	0.0777577
program	0.0777141
leader	0.0776607
"vice president"	0.0773167
"state legislature"	0.0772124
administrator	0.0770303
bank	0.0770124
"working group"	0.0769958
network	0.0767972
house	0.0760396
share	0.0758459
site	0.0756924
"United Nations Security Council"	0.075609
NCAA	0.0754168
legislator	0.0752452
officer	0.0750712
"European Parliament"	0.075036
representative	0.0750014
faculty	0.0747784
headquarter	0.0745561
"board meeting"	0.0742601
list	0.0741901
FIFA	0.0740326
division	0.0740007
IMF	0.0739839
owner	0.0738892
meeting	0.0738208
"National Assembly"	0.0734411
party	0.0733727
bench	0.0733135
"United Nations"	0.0732469
General	0.0731434
USOC	0.0729363
"State Department"	0.0725136
police	0.0723065
delegate	0.0723038
chamber	0.0722244
"Department of Justice"	0.0716915
INS	0.0715329
"Federal Election Commission"	0.0715216
"chief executive officer"	0.0713701
institute	0.0713401
branch	0.0712109
"election commission"	0.0711225
U.N.	0.0710788
doctor	0.0707311
FBI	0.0705005
business	0.0703975
operation	0.0702096
"U.S. Supreme Court"	0.0699459
delegation	0.069903
institution	0.0698786
"chief financial officer"	0.0696844
"Federal Aviation Administration"	0.0693244
subsidiary	0.0691186
auditor	0.0690667
arbitrator	0.0689231
"grand jury"	0.0686805
"White House"	0.0686143
airline	0.068575
corporation	0.0685588
"executive director"	0.0684577
Counsel	0.0684131
plan	0.0683453
"federal official"	0.067811
conference	0.0677822
"standing committee"	0.0676987
roster	0.0676201
stock	0.0675808
wall	0.0675788
Mission	0.067564
CEO	0.0675392
"State Duma"	0.0674759
Knesset	0.0674218
screen	0.0673747
Fed	0.0673224
head	0.0672977
"Immigration and Naturalization Service"	0.0672712
foundation	0.0672666
service	0.067216
military	0.0669308
Pentagon	0.066914
supervisor	0.066844
Reno	0.0667159
"police department"	0.0666598
expert	0.0666239
Coalition	0.0665843
lawyer	0.0665046
club	0.0664471
"Environmental Protection Agency"	0.0663989
Magistrate	0.0663987
"inspector general"	0.0662513
"Janet Reno"	0.0660548
Mayor	0.0658827
UEFA	0.0658821
university	0.0658668
voter	0.0657269
secretary	0.0656838
school	0.0655733
"Department of Transportation"	0.0655173
"International Monetary Fund"	0.0652012
firm	0.0651826
job	0.0650001
minister	0.0647835
membership	0.0647323
))
("board game" (desc 6338.87) (sims
toy	0.0879271
"greeting card"	0.0862125
"video game"	0.0857108
"audio CD"	0.0790178
"computer game"	0.0767783
"compact disk"	0.0764364
CD-ROM	0.0755324
"comic book"	0.0741384
"trading card"	0.0728811
"consumer electronics"	0.0716136
DVD-ROM	0.0681885
Scrabble	0.0678051
domino	0.0650751
"compact disc"	0.0640058
checker	0.063878
doll	0.0626511
"coloring book"	0.0626026
"computer language"	0.0624035
"slot machine"	0.0620381
thesaurus	0.0620308
"card game"	0.0618995
"game show"	0.0618027
"software package"	0.0615532
serial	0.0614514
"musical instrument"	0.0592708
solitaire	0.0591166
collectibles	0.0588848
DVDs	0.0587925
"puppet show"	0.0586494
paraphernalia	0.0571586
Bingo	0.0570981
"scientific instrument"	0.0568732
"application program"	0.0567799
"parlor game"	0.0563235
"sheet music"	0.0563021
sportswear	0.0557866
"variety show"	0.0557016
"jigsaw puzzle"	0.0553133
"software product"	0.0552115
"shell game"	0.0550319
"Beanie Babies"	0.054605
"TV show"	0.0542895
"cassette tape"	0.0541668
videogames	0.0541433
"swing music"	0.0538772
motherboards	0.0536334
PlayStation	0.053373
Barbies	0.0532267
"point system"	0.05316
"GI Joe"	0.0530519
"word processor"	0.0526123
memorabilia	0.0523979
Jukebox	0.0521723
trinket	0.052129
"storage device"	0.0519437
"hand-held computer"	0.0516439
"chain letter"	0.0511763
"pinball machine"	0.0511277
"Palm VII"	0.0509628
gadget	0.050935
"chess game"	0.0508265
e-BOOKS	0.0506684
"piece of music"	0.0506081
roulette	0.0505133
"soda fountain"	0.0497247
"Microsoft Office"	0.0497147
marionette	0.0496039
knickknack	0.0494284
"snack food"	0.0492703
"Starr Report"	0.0491867
trivia	0.0490743
"TV program"	0.0490523
cookbook	0.0483312
blue-chips	0.0482454
jewellery	0.0481706
animation	0.0480812
"literary work"	0.0480035
Catch-@@	0.0478148
Opry	0.0478141
"laundry detergent"	0.0478115
toothpaste	0.0477199
"home movie"	0.0471171
"root beer"	0.0471087
eateries	0.0469593
notepad	0.0469577
VCD	0.0467809
"film clip"	0.0467755
"programming language"	0.0467431
"home appliance"	0.0466659
"consumer goods"	0.0466475
"New Beetle"	0.0466217
gizmo	0.0465989
sitcom	0.0465139
"country music"	0.0464607
condiment	0.0463935
"Palm III"	0.0462438
Scrooge	0.0461804
"office furniture"	0.046075
realpolitik	0.0460678
pinball	0.0459653
cultivar	0.0458744
nonentity	0.0457277
cartoon	0.0457249
"Sesame Street"	0.0456842
"landscape painting"	0.045667
"folk song"	0.0455653
iconography	0.045564
copier	0.0454397
"pirate ship"	0.0452763
emulator	0.0452633
"soccer ball"	0.0451999
"musical theater"	0.04515
"hard copy"	0.0450117
sport-utility	0.044991
stationery	0.0449583
Epogen	0.0449183
"teddy bear"	0.0448731
pastime	0.0448037
battleship	0.0447854
chess	0.0447744
"line of products"	0.044733
RealPlayer	0.0447222
Brasserie	0.0446482
"baseball card"	0.0445754
audiotape	0.0443821
Walkman	0.0442683
"professional basketball"	0.0442622
yo-yo	0.0442204
"special effect"	0.0441675
"dance band"	0.0440738
"Christmas carol"	0.0440431
jewelry	0.0440237
"Princess Mononoke"	0.0439523
VCR	0.0439358
"floor plan"	0.0438403
timepiece	0.0438264
"soap opera"	0.0436647
"Liquid Audio"	0.0435208
"television show"	0.0434744
"sports equipment"	0.0433873
simulation	0.0433362
"leading lady"	0.0432768
quizzes	0.043247
"household appliance"	0.0432183
dinnerware	0.0432121
cassette	0.0431465
"comic strip"	0.0430626
periodical	0.0429403
"life form"	0.0429257
"musical comedy"	0.0428547
outerwear	0.0425625
"rule of thumb"	0.0425249
"crossword puzzle"	0.0424357
puppet	0.0424197
"con artist"	0.0423964
"Volkswagen Beetle"	0.0423842
hardball	0.0422867
"sparkling wine"	0.0422657
"entertainment center"	0.0422104
"sports car"	0.0421736
"Blade Runner"	0.0421652
MP@	0.0421389
"adventure story"	0.0419978
perfume	0.0419926
Nintendo	0.0419783
harpsichord	0.0418469
appliance	0.0417311
oldies	0.0416338
VCDs	0.04158
fallback	0.0414999
"supper club"	0.0414732
"electric car"	0.0414602
housewares	0.0413895
"flight simulator"	0.0412589
"discount store"	0.0412229
modem	0.041199
"picture book"	0.0411878
poem	0.0411273
"other @@@"	0.0409676
stratagem	0.0407241
Athlon	0.0406692
"toy retailer"	0.0405854
DIVX	0.0405787
"pet food"	0.0404637
minivans	0.0404444
pawnshop	0.0403882
guidebook	0.040279
cartridge	0.0402199
"UNIX operating system"	0.040146
"chewing gum"	0.0401422
"Parent Trap"	0.0401328
"Office @@@@"	0.0400608
"Microsoft Windows"	0.0400312
))
("board meeting" (desc 16864.4) (sims
"committee meeting"	0.19115
"council meeting"	0.180091
meeting	0.133857
"summit meeting"	0.12844
"general assembly"	0.115559
summit	0.114428
session	0.112753
hearing	0.110785
plenum	0.10656
"press conference"	0.102226
"ASEAN Ministerial Meeting"	0.10035
conference	0.0988707
"news conference"	0.0961076
"South Summit"	0.0917505
"World Food Summit"	0.0913757
caucus	0.0873195
inauguration	0.0852683
"Millennium Summit"	0.0839376
ceremony	0.0835428
symposium	0.0825964
luncheon	0.0818961
"press briefing"	0.0816914
AMM	0.0814417
seminar	0.0808101
briefing	0.0802266
"news briefing"	0.0799722
forum	0.0796037
gathering	0.0792417
gala	0.0791286
"International AIDS Conference"	0.0784946
"board of directors"	0.0781882
"Ministerial Meeting"	0.0769841
"World Conference"	0.0765448
two-day	0.0755483
mini-camp	0.0750531
auction	0.0744425
convention	0.0735598
spacewalk	0.0734253
mini-summit	0.0728196
"conference call"	0.0726896
workshop	0.0724096
"general election"	0.0718974
"International Conference"	0.0714512
"primary election"	0.0712542
banquet	0.0709297
balloting	0.0701671
"Consultative Group"	0.0692956
"World AIDS Conference"	0.0692318
"Democratic National Convention"	0.0691374
arraignment	0.0690197
referendum	0.0685776
Roundtable	0.0682652
"Earth Summit"	0.0681035
"Ministerial Conference"	0.0673887
"practice session"	0.0673003
three-day	0.0671072
announcement	0.0668698
"Asia-Europe Meeting"	0.0660823
funeral	0.0655371
"dinner party"	0.0650814
"Annual Meeting"	0.0649354
festivity	0.0648876
celebration	0.0647349
premiere	0.0644107
"trading session"	0.0638177
"employment report"	0.0629031
"All-Star Game"	0.0626903
deadline	0.0626281
"open house"	0.0624421
concert	0.0619269
consultation	0.0618522
"initial public offering"	0.0616559
rehearsal	0.0615594
scrimmage	0.0612883
"U.N. Millennium Summit"	0.0610412
"board member"	0.0609916
expiration	0.0608044
dinner	0.0605783
workout	0.0602449
"panel discussion"	0.0600209
"wedding anniversary"	0.0600117
"Fourth World Conference"	0.0589781
"church service"	0.0588205
"round table"	0.058605
minicamp	0.057815
Assembly	0.057791
"World University Games"	0.0567915
reshuffle	0.0565496
"Olympic Games"	0.0565318
deliberation	0.0564826
deposition	0.0563581
ASEM	0.0561491
wedding	0.0560195
ballot	0.0559859
"ethics panel"	0.0559666
launching	0.05586
"International Symposium"	0.0558572
primary	0.0555757
fund-raiser	0.0551283
regatta	0.0549581
anniversary	0.054526
"working group"	0.0543982
"First Session"	0.0543277
"International Congress"	0.0541862
"prayer service"	0.0540945
reunions	0.0539961
rainout	0.0538123
"World Athletics Championships"	0.0534309
"Trade Fair"	0.0533945
reunion	0.0533656
vigil	0.053332
"Republican National Convention"	0.0531804
"World Youth Games"	0.0528183
"telephone conversation"	0.0527363
"stock split"	0.0526998
festival	0.0525089
proceeding	0.0524452
raid	0.0523395
demonstration	0.0522906
"town meeting"	0.0522384
commemoration	0.0520204
Council	0.0519476
"earnings report"	0.051919
"Commonwealth Games"	0.051886
parley	0.0518772
"PGA Championship"	0.0517763
audition	0.0517348
"National Congress"	0.051703
"Summer Games"	0.0516978
opener	0.051659
"military drill"	0.0516115
filing	0.0512532
"Asian Games"	0.0511995
presentation	0.0511416
four-day	0.0510166
weigh-in	0.0508792
tryout	0.050775
voting	0.0507544
"Tareq Aziz"	0.0506745
"Israeli Cabinet"	0.0505775
recess	0.0505188
pro-am	0.050465
"exhibition game"	0.0504396
"Academy Awards"	0.0504319
"Commonwealth Ministerial Action Group"	0.0503444
"basketball game"	0.0497009
signing	0.0496068
matinee	0.0494926
"religious service"	0.0494483
powwow	0.0493855
"Special Session"	0.0490782
bulletin	0.0488386
"North Atlantic Council"	0.0486243
"Earth Day"	0.0485579
audit	0.0484065
"state visit"	0.0482188
"work stoppage"	0.0481359
Exposition	0.0481254
"Third Session"	0.048101
"World Congress"	0.0480191
"governing board"	0.0479315
APEC	0.0478621
Exhibition	0.0476402
"European Championships"	0.0475009
layover	0.0472148
runoff	0.0468099
court-martial	0.0465411
"Grammy Awards"	0.0465189
Knesset	0.0464242
"cocktail party"	0.0462343
stopover	0.0460415
"war game"	0.0460189
edition	0.0458148
handover	0.0457877
"World Health Assembly"	0.0456676
lecture	0.0454901
"CPC National Congress"	0.0454621
confab	0.0454175
soiree	0.0453778
"Winter Olympic Games"	0.0451275
"home game"	0.0450792
polling	0.0449511
interrogation	0.0447294
teleconference	0.0447066
"World AIDS Day"	0.0446824
"closed session"	0.044506
rollout	0.0444503
preview	0.0444218
"grand jury"	0.0443955
"medical examination"	0.0443377
off-day	0.0442256
"National Party Congress"	0.0441564
Olympics	0.0439444
"town hall"	0.0438712
birthday	0.0437999
appointment	0.0437997
"ASEAN Regional Forum"	0.0437961
"Summer Olympics"	0.0437772
"group discussion"	0.0437592
verdict	0.0437512
))
("board member" (desc 38363.5) (sims
member	0.137357
"committee member"	0.136792
trustee	0.136223
"council member"	0.130842
board	0.122906
"board of directors"	0.122621
executive	0.122331
chairmen	0.113697
legislator	0.112635
chairman	0.107459
shareholder	0.106692
"top executive"	0.106499
"chief executive"	0.105705
administrator	0.105355
commissioner	0.105031
official	0.104815
lawmaker	0.104736
director	0.102066
"cabinet minister"	0.10174
"vice president"	0.0989241
"executive director"	0.0969201
"staff member"	0.0968821
"chief executive officer"	0.0963113
delegate	0.0954684
chairwoman	0.0950282
congressmen	0.09502
manager	0.0947007
lawyer	0.0943085
CEO	0.0939435
representative	0.093145
staffer	0.0922251
"faculty member"	0.0909838
officer	0.0905796
President	0.0904929
treasurer	0.0895719
"chief operating officer"	0.088888
MP	0.0888643
judge	0.0883631
Attorney	0.088218
employee	0.0881812
senator	0.0880682
"elected official"	0.087987
adviser	0.0877482
"business leader"	0.0877449
"executive vice president"	0.0861541
"vice chairman"	0.0858996
"chairman of the board"	0.0857624
editor	0.0856998
educator	0.0853277
colleague	0.0853264
lobbyist	0.0853154
consultant	0.0848084
banker	0.0847553
"school board"	0.0847031
"general counsel"	0.0846164
diplomat	0.0845298
"managing director"	0.0839811
"business executive"	0.0839055
Governor	0.0833618
supervisor	0.0832338
cofounder	0.0831131
owner	0.0821804
chief	0.0820775
appointee	0.0820691
expert	0.0818605
"legal expert"	0.0817843
auditor	0.0815926
superintendent	0.0811994
Mayor	0.0808105
regulator	0.0802818
"chief financial officer"	0.0802444
juror	0.0799042
prosecutor	0.0798694
parliamentarian	0.079817
"department head"	0.0792302
politician	0.0786001
committee	0.0783899
staff	0.07827
"federal official"	0.0781842
activist	0.0781015
secretary	0.0780723
principal	0.0780497
leader	0.0776499
aide	0.0772496
investigator	0.0763842
physician	0.0762215
advocate	0.0761485
Democrat	0.0756989
Councilman	0.0754204
"union member"	0.0753732
panelist	0.0751313
doctor	0.0748954
journalist	0.07489
founder	0.0748471
professional	0.074804
"senior vice president"	0.0743304
Republican	0.073778
"labor leader"	0.0736761
co-chairman	0.0734473
"political leader"	0.0731564
vice-president	0.0731562
"investment banker"	0.0731138
Congressman	0.0730346
"military officer"	0.0727606
assemblyman	0.0725058
Councilors	0.0724598
"general manager"	0.0723935
engineer	0.0720441
accountant	0.0719472
participant	0.0719194
counselor	0.0719116
"church member"	0.0714778
environmentalist	0.0713482
economist	0.0712592
analyst	0.0708584
researcher	0.0704732
"religious leader"	0.0704063
specialist	0.0703353
scientist	0.0700239
Chancellor	0.0699809
"foreign minister"	0.0698221
deputy	0.0697825
entrepreneur	0.0697198
scholar	0.0691659
partner	0.0691199
nurse	0.0690509
ethicists	0.0690411
"finance minister"	0.0689986
"social worker"	0.0689304
"corporate executive"	0.0687292
teacher	0.0686948
stockholder	0.0685918
minister	0.0685071
publisher	0.0684916
co-chairmen	0.0684512
dean	0.0684117
Counsel	0.0683819
Council	0.0683267
worker	0.0682924
"civic leader"	0.0682037
businessmen	0.0680748
Secretary-General	0.0679862
sponsor	0.0679316
assistant	0.0679256
policy-makers	0.0678892
"state senator"	0.0678359
associate	0.0678069
"deputy chairman"	0.0677335
critic	0.0676638
planner	0.0675717
observer	0.0672319
"family member"	0.0668811
Councillor	0.0668091
"government officials"	0.0667977
volunteer	0.0666364
"head of state"	0.0665754
"governing board"	0.0665554
"union representative"	0.0662981
curator	0.0660953
creditor	0.0657536
technician	0.0655769
bishop	0.0655679
Speaker	0.0654763
"policy maker"	0.0653707
"board of trustees"	0.0653441
pastor	0.0653166
donor	0.0653145
investor	0.0652166
Ambassador	0.064889
insider	0.0647515
professor	0.0646414
"financial officer"	0.064556
academic	0.0643396
"secretary of state"	0.06427
organizer	0.0641711
General	0.0641398
academician	0.0640564
supporter	0.0640115
contributor	0.0638921
"general secretary"	0.0635638
arbitrator	0.0631254
Programmer	0.0630646
strategist	0.0629837
"Wall Street analyst"	0.0629709
friend	0.062948
plaintiff	0.0628771
negotiator	0.0628264
"senior executive"	0.0626045
"civil servant"	0.0619889
client	0.0619473
historian	0.061903
Alumni	0.0617995
veteran	0.0616481
"world leader"	0.0615881
scout	0.0614888
regent	0.0614683
"executive officer"	0.0614428
resident	0.0614315
commander	0.0614258
Comptroller	0.0612683
))
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"board of trustees"	0.192552
"governing board"	0.158788
Council	0.151091
committee	0.145872
"city council"	0.136426
"executive council"	0.131344
"advisory board"	0.126037
"board of regents"	0.125418
"school board"	0.123979
cabinet	0.12285
"board member"	0.122621
"finance committee"	0.121764
commission	0.120805
panel	0.119664
"chief executive"	0.11427
trustee	0.111521
shareholder	0.110747
"Board of Governors"	0.110709
"Security Council"	0.108836
"task force"	0.106633
"ethics committee"	0.106405
"chief executive officer"	0.105903
"board of education"	0.104959
"Executive Board"	0.103882
"steering committee"	0.103856
legislature	0.102546
"chief financial officer"	0.101684
"United Nations Security Council"	0.100932
"House Appropriations Committee"	0.0997973
"State Duma"	0.0997554
"search committee"	0.0987857
"standing committee"	0.0987756
Assembly	0.0984173
"National Assembly"	0.0978035
"general assembly"	0.0958426
"Judiciary Committee"	0.0952607
"U.N. Security Council"	0.0952028
Duma	0.0950643
parliament	0.0944981
IOC	0.0944491
"European Parliament"	0.0941067
Presidium	0.0940861
"Executive Committee"	0.093515
"North Atlantic Council"	0.0926685
chairman	0.0914692
"executive director"	0.0912371
"International Olympic Committee"	0.0898888
subcommittee	0.0893178
"interim committee"	0.088893
FDA	0.0880453
"chief operating officer"	0.0874832
management	0.0872057
executive	0.0869609
"Federal Communications Commission"	0.0866798
director	0.0865338
"working group"	0.0863844
"state legislature"	0.085918
"House Judiciary Committee"	0.0858226
"Federal Open Market Committee"	0.0856108
"House of Representatives"	0.0854284
"managing director"	0.0853799
"Supreme Court"	0.0851949
"ethics panel"	0.0849507
"legislative council"	0.0849087
"Senate Finance Committee"	0.0848342
staff	0.084289
"Great Hural"	0.0842403
MPR	0.0841946
"Council of Ministers"	0.0836102
chairmen	0.083338
regulator	0.0820962
"Senate Appropriations Committee"	0.0820025
Knesset	0.0817792
"Federation Council"	0.0812226
"National Security Council"	0.0809805
plc	0.0807341
"Rules Committee"	0.0807316
Congress	0.0801427
"European Commission"	0.0799598
"Board of Supervisors"	0.0798336
"vice president"	0.0794039
"legislative assembly"	0.0793844
"Food and Drug Administration"	0.0789795
Senate	0.0788332
"top executive"	0.0786709
"board meeting"	0.0781882
Majlis	0.0780911
"Consultative Assembly"	0.0780582
stockholder	0.0779371
"Congress Working Committee"	0.0779169
"Israeli Cabinet"	0.0776241
"Central Committee"	0.0775029
CEO	0.0766441
"Selection Committee"	0.0762225
"Texas Supreme Court"	0.0762147
"Appropriations Committee"	0.0756074
"State Council"	0.0755519
"Senate Foreign Relations Committee"	0.0744303
FCC	0.0744283
"general counsel"	0.0743397
"PLO Executive Committee"	0.0739154
creditor	0.0738239
"House Ways and Means Committee"	0.0733216
"Provisional Legislative Council"	0.0729489
representative	0.0728412
"Philippine Senate"	0.0724658
"NPC Standing Committee"	0.0722064
faculty	0.0721439
PNC	0.0720288
"UN Security Council"	0.0712823
"Supreme Council"	0.0712515
commissioner	0.0711832
"executive vice president"	0.0703475
department	0.0703343
jury	0.0699897
"House Banking Committee"	0.0695788
"conference committee"	0.0695461
"Council of State"	0.0694747
"General Council"	0.0693258
"Securities and Exchange Commission"	0.0690219
"Arab League"	0.0688487
"Russian State Duma"	0.0688231
"Senate Judiciary Committee"	0.0686378
"U.N. Sanctions Committee"	0.068429
headquarter	0.0681382
"Palestinian Council"	0.0680667
"Police Commission"	0.0679913
CEC	0.0679161
"chairman of the board"	0.0678229
administrator	0.0678055
"planning commission"	0.0676498
"National Executive Committee"	0.0675285
"Janet Reno"	0.067246
federation	0.067124
"Constitutional Court"	0.0668094
"Commission on Human Rights"	0.0666421
manager	0.066424
"Senate Armed Services Committee"	0.0663244
FIFA	0.0662762
CMAG	0.0661526
delegation	0.0660894
association	0.0659761
"National Council"	0.0658451
Secretary-General	0.0655685
membership	0.0655661
"general manager"	0.0654552
"Preparatory Committee"	0.065426
"Palestine National Council"	0.0652794
Politburo	0.0651148
"political action committee"	0.0650712
"Federal Trade Commission"	0.0650182
"Justice Department"	0.064722
Secretariat	0.0646669
bylaw	0.0646366
"finance minister"	0.0645882
"court of appeals"	0.0645703
leadership	0.0645675
chief	0.0638662
"council member"	0.0637758
legislator	0.0636277
USOC	0.0635512
"senior vice president"	0.0635232
"Senate Banking Committee"	0.063459
"Electoral Commission"	0.0633487
"Federal Reserve Board"	0.0633141
treasurer	0.063296
auditor	0.0632049
ministry	0.06318
"regulatory agency"	0.0626564
"House Commerce Committee"	0.0625401
subsidiary	0.0624905
"appeals court"	0.0623719
union	0.0620922
"foreign minister"	0.0617189
"National Committee"	0.0608757
lawmaker	0.0608178
regent	0.0608044
chamber	0.0606534
authority	0.0606089
"Ways and Means Committee"	0.0606054
"U.S. Supreme Court"	0.060394
"head of state"	0.0603875
"Kofi Annan"	0.0603818
"Republican National Committee"	0.0602197
IMF	0.0601199
founder	0.0599428
Governor	0.0599394
"Commerce Committee"	0.0598258
"Congress Standing Committee"	0.0596944
consortium	0.0596265
supervisor	0.059441
"Senate Commerce Committee"	0.0594023
administration	0.0592192
"Nevada Athletic Commission"	0.059201
"Constitutional Assembly"	0.0591514
"Lower House"	0.0589933
"Foreign Affairs Committee"	0.0589787
NPC	0.0589172
presidency	0.0588431
))
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"board of regents"	0.200662
"city council"	0.155637
"Board of Supervisors"	0.15449
"Department of Education"	0.14008
"Department of Transportation"	0.138607
"Board of Elections"	0.133574
"Department of Environmental Protection"	0.124924
"Federal Communications Commission"	0.121562
"House Appropriations Committee"	0.120095
FCC	0.11994
"Texas Supreme Court"	0.119122
"board of trustees"	0.11865
Council	0.116737
legislature	0.114996
"appeals court"	0.112711
EPA	0.11228
"school district"	0.110845
"United Nations Security Council"	0.110546
"House Judiciary Committee"	0.10991
"House of Representatives"	0.108814
"Israeli Cabinet"	0.10862
"state legislature"	0.10759
PUC	0.106047
"board of directors"	0.104959
commission	0.104501
board	0.103933
"Education Department"	0.102527
"Supreme Court"	0.101174
"Judiciary Committee"	0.100778
"court of appeals"	0.100613
"International Olympic Committee"	0.0999311
FDA	0.0995882
"state supreme court"	0.0992426
"Interior Department"	0.0981999
"appellate court"	0.0978565
"House Commerce Committee"	0.097705
INS	0.0975323
"finance committee"	0.0974839
"Appropriations Committee"	0.0974174
"Federal Trade Commission"	0.0969543
FAA	0.0968033
"European Parliament"	0.0962786
committee	0.095846
"Senate Banking Committee"	0.0958084
"police department"	0.0957309
"planning commission"	0.0951992
"Health Department"	0.0951429
"Immigration and Naturalization Service"	0.094906
"Senate Appropriations Committee"	0.0948471
"Public Service Commission"	0.0946205
"House Ways and Means Committee"	0.094575
"Commission on Human Rights"	0.0944016
"school system"	0.0941004
"Food and Drug Administration"	0.0934402
NCAA	0.0932792
"Los Angeles City Council"	0.0932114
"European Commission"	0.092798
"Ways and Means Committee"	0.0927892
"Security Council"	0.0921196
"Department of Labor"	0.0917607
"planning board"	0.0914342
MTA	0.0910246
"U.N. Security Council"	0.0907125
"Rules Committee"	0.0904423
"Justice Department"	0.0897727
"Senate Judiciary Committee"	0.0897265
"Treasury Department"	0.0897243
regent	0.0896369
"Department of Corrections"	0.089426
"U.S. Supreme Court"	0.0892922
Duma	0.0887671
"U.S. Immigration and Naturalization Service"	0.0886927
"National Assembly"	0.0886313
"Nevada Athletic Commission"	0.0885386
Senate	0.088527
"Department of Environmental Conservation"	0.0884807
SEC	0.0884339
"Senate Finance Committee"	0.0884162
"Port Authority of New York"	0.088174
"House Banking Committee"	0.0880643
"Securities and Exchange Commission"	0.0879039
"Senate Armed Services Committee"	0.0876316
"Transportation Department"	0.0875302
"general assembly"	0.0875234
"Federal Aviation Administration"	0.0872064
USOC	0.0869657
"high court"	0.0869503
Comptroller	0.0869412
"Federal Election Commission"	0.0864563
"PLO Executive Committee"	0.0862521
"Ethics Commission"	0.0860348
"Department of Justice"	0.0858818
"House International Relations Committee"	0.0855078
"fire department"	0.0854001
"executive council"	0.0853161
"International Amateur Athletic Federation"	0.0852441
"election commission"	0.0850666
"Department of Health"	0.084952
Assembly	0.0845595
IOC	0.0843047
NAACP	0.084009
"Senate Foreign Relations Committee"	0.0838344
"Environmental Protection Agency"	0.0837567
"federal government"	0.0835836
"Justice Ministry"	0.0835528
"Senate Commerce Committee"	0.0832021
IAAF	0.0831721
commissioner	0.0830048
"district attorney"	0.0829402
NSC	0.0828979
"National Park Service"	0.0828597
"North Atlantic Council"	0.0826999
FTC	0.0826339
EC	0.0823833
"Department of Public Safety"	0.0822444
legislator	0.0820913
"Nuclear Regulatory Commission"	0.0820859
"Football Association"	0.0820703
"State Duma"	0.0818216
trustee	0.0813096
regulator	0.081242
"Salt Lake Organizing Committee"	0.0810939
USGA	0.0810599
"Council of Ministers"	0.0808041
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union	0.0801821
Archdiocese	0.0801797
agency	0.0801468
"Metropolitan Transportation Authority"	0.0798977
"Forest Service"	0.079851
"trial court"	0.0798135
Knesset	0.0797064
"Handgun Control"	0.0796592
"EU Commission"	0.0794742
panel	0.0793506
"Energy Department"	0.0792928
"Park Service"	0.0792711
CWA	0.079042
"Banking Committee"	0.0790024
"ethics committee"	0.0787773
lawmaker	0.0785529
"Christie Whitman"	0.0784971
"House Budget Committee"	0.0784509
"legislative assembly"	0.0784117
"Philippine Senate"	0.0783414
"U.S. Soccer Federation"	0.0779632
Congress	0.0775532
FIFA	0.0772681
"Constitutional Court"	0.0771611
"Finance Ministry"	0.0770559
"Supreme Judicial Court"	0.0769837
"Los Angeles Unified School District"	0.0766692
parliament	0.0762381
"Texas Department of Health"	0.0762253
"Senate Budget Committee"	0.0761751
"Texas Legislature"	0.0760343
CEC	0.0758537
cabinet	0.0758528
"Democratic National Committee"	0.0758081
"Federal Emergency Management Agency"	0.0757212
KPU	0.0756706
"Palestine National Council"	0.0756015
"U.S. Forest Service"	0.0754924
"National Association"	0.0754861
"National Republican Congressional Committee"	0.0754509
"Federation Council"	0.0753694
"Arab League"	0.0752712
ministry	0.0752494
"Russian State Duma"	0.0751078
"Agriculture Department"	0.0750988
Reno	0.0750825
"Department of Agriculture"	0.0749954
Mayor	0.0749911
CSRC	0.0749571
"Republican National Committee"	0.074749
"National Education Association"	0.0746917
"U.S. Olympic Committee"	0.0746253
"Congress Working Committee"	0.074453
"Fish and Wildlife Service"	0.0744313
NTSB	0.0743521
"governing board"	0.0742661
"U.S. Chamber of Commerce"	0.0742322
"U.S. State Department"	0.0741844
"Airport Authority"	0.0741609
"Human Rights Commission"	0.0740821
"legislative council"	0.0740667
"Great Hural"	0.0740563
"lower court"	0.0735851
"American Association of Health Plans"	0.0735764
plc	0.0731465
"standing committee"	0.0730703
UEFA	0.0730399
"Foreign Relations Committee"	0.0730053
NRC	0.0730001
"European Court of Human Rights"	0.0729934
"Con Edison"	0.0729852
FEC	0.0729778
administration	0.0729717
Whitman	0.0728429
))
("Board of Elections" (desc 1601.33) (sims
"Department of Environmental Protection"	0.249351
"Ethics Commission"	0.211222
"Human Rights Commission"	0.200145
"Health Department"	0.195678
"Department of Environmental Conservation"	0.192283
"Department of Corrections"	0.18803
"Board of Supervisors"	0.187567
"Department of Public Safety"	0.186685
"Public Service Commission"	0.183689
"U.S. Immigration and Naturalization Service"	0.180544
"Department of Health"	0.161006
"Transportation Department"	0.159954
"Department of Public Health"	0.158958
"child welfare agency"	0.153862
"Department of Transportation"	0.151172
"U.S. Soccer Federation"	0.148402
"Log Cabin Republicans"	0.148062
"Health and Human Services Department"	0.145005
"Department of Motor Vehicles"	0.144611
"Port Authority of New York"	0.143037
"planning commission"	0.140847
"Handgun Control Inc."	0.139434
"American Association of Health Plans"	0.13805
"Federal Election Commission"	0.133811
"board of education"	0.133574
"Justice Ministry"	0.131885
TrustE	0.130996
FEC	0.130519
"Nevada Athletic Commission"	0.128963
"medical examiner"	0.127645
"National Republican Congressional Committee"	0.125718
"Association of Flight Attendants"	0.12426
"Texas Supreme Court"	0.123131
Wyeth-Ayerst	0.122153
"World Jewish Congress"	0.121707
"Handgun Control"	0.121247
NLRB	0.121001
"Texas Department of Health"	0.119261
"Texas Department of Public Safety"	0.118746
"New York Civil Liberties Union"	0.11784
"Dennis Vacco"	0.117311
"Allied Pilots Association"	0.116884
"United Nations High Commission for Refugees"	0.115542
"National Labor Relations Board"	0.115433
"Screen Actors Guild"	0.114957
"planning board"	0.114701
"Department of Finance"	0.11468
USATF	0.114411
"Education Department"	0.114183
"Democratic Congressional Campaign Committee"	0.112326
"NFL Players Association"	0.112239
USGA	0.112104
"National Election Committee"	0.110871
"French Foreign Ministry"	0.110809
PUC	0.110151
"Air Transport Association"	0.110022
"U.N. High Commissioner for Refugees"	0.10986
"Chinese Foreign Ministry"	0.109553
"Air Line Pilots Association"	0.108995
"Immigration and Naturalization Service"	0.108812
"Families USA"	0.108798
"election commission"	0.108723
NARAL	0.108111
"U.S. Golf Association"	0.107612
Pertamina	0.107413
"U.S. Fish and Wildlife Service"	0.107337
"U.S. Olympic Committee"	0.104739
"Israeli Foreign Ministry"	0.104513
OCA	0.104426
"Department of Commerce"	0.103911
"Commission on Presidential Debates"	0.102418
"Bill Lockyer"	0.102211
"Con Edison"	0.101776
"fire department"	0.101093
"Electoral Commission"	0.101023
"Defense Agency"	0.100754
Nepa	0.100652
"Communications Workers of America"	0.100463
"Port Authority"	0.1003
"U.S. Treasury Department"	0.100149
"Business Council"	0.100106
"Sydney Organizing Committee"	0.100035
USOC	0.0990121
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HHS	0.0967904
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"customs service"	0.0958958
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ACLU	0.0952655
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HKTA	0.0946848
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UNDCP	0.0939804
Comptroller	0.0933166
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EPA	0.0928824
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"USA Basketball"	0.091677
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"Pac Bell"	0.0902255
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"American Jewish Committee"	0.0899815
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"Audubon Society"	0.0894379
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HKMA	0.0885773
"Cuban American National Foundation"	0.0880055
"Health and Welfare Ministry"	0.0880025
"Federal Aviation Administration"	0.0880003
"Southern Poverty Law Center"	0.0879325
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"U.S. Forest Service"	0.0874855
"National Association of Securities Dealers"	0.0873004
UNAMET	0.0871242
SDMI	0.0870956
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"International Committee"	0.0867303
"Drug Enforcement Administration"	0.086614
"Department of Health and Human Services"	0.0864453
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Thruway	0.0854113
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CEC	0.0851216
IRS	0.0850894
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FAA	0.0844219
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"police department"	0.0839839
"Academy of Motion Picture Arts"	0.0835605
"Chinese Olympic Committee"	0.0835108
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INS	0.0828951
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FDA	0.0823036
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"National Organization"	0.0820331
"Carter Center"	0.0818254
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"National Park Service"	0.0815415
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"Army Corps"	0.0813717
"Amnesty International"	0.0812479
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"ABC Sports"	0.0810389
"International Association of Machinists"	0.0807822
"Federal Trade Commission"	0.0805386
IAAF	0.0803065
"Federal Communications Commission"	0.0802898
"Eliot Spitzer"	0.080249
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"control board"	0.0800736
"Catholic Charities"	0.0800519
FCC	0.0799273
"Interior Ministry"	0.0798656
"Human Rights Watch"	0.0797399
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"General Committee"	0.0795051
"United Way"	0.0794106
CCF	0.0793167
"Main Events"	0.07919
"Local @@"	0.0791791
"Health Care Financing Administration"	0.079125
Greenpeace	0.0791169
))
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"Congress Working Committee"	0.159502
"Israeli Cabinet"	0.156901
"Executive Board"	0.15144
"Federal Open Market Committee"	0.145129
"interim committee"	0.133769
JMC	0.131842
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"Palestinian National Council"	0.12717
"finance committee"	0.125874
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"Philippine Senate"	0.118664
FOMC	0.117535
"Palestine National Council"	0.115491
"Russian Security Council"	0.115109
"governing board"	0.114674
"board of trustees"	0.113483
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"board of regents"	0.111877
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"board of directors"	0.110709
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"Council of Ministers"	0.107693
"Monetary Policy Committee"	0.107531
"executive council"	0.107423
"House Budget Committee"	0.105715
"National Council"	0.104281
MPR	0.103939
"Senate Finance Committee"	0.101366
"General Council"	0.100974
"PLO Executive Committee"	0.10083
"ASEAN Regional Forum"	0.100346
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NSC	0.0997922
"Board of Supervisors"	0.0994156
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"Revolutionary Command Council"	0.0986562
"Supreme Council"	0.0984763
"Senate Foreign Relations Committee"	0.0972991
"Group of @@"	0.0966342
"Federal Reserve Board"	0.09648
"Alcoholics Anonymous"	0.0956215
"Sanctions Committee"	0.0940503
CMAG	0.0936567
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PNC	0.0929527
"Commonwealth Ministerial Action Group"	0.0918403
"planning commission"	0.0911699
"World Bank Group"	0.0905578
IGC	0.0904573
"Congress (NPC) Standing Committee"	0.0896711
"U.N. Human Rights Commission"	0.0893866
"Joint Military Commission"	0.0892378
"Senate Banking Committee"	0.0889655
"Annual Meeting"	0.0886148
"Asia Pacific Economic Cooperation"	0.0885075
"National Executive Committee"	0.0878472
"standing committee"	0.0874285
"Russian Duma"	0.0872594
"Palestinian Central Council"	0.0871682
"House Ways and Means Committee"	0.0871281
"Jerusalem Committee"	0.0869925
"European Council"	0.0866683
"Ways and Means Committee"	0.0864585
"Federation Council"	0.0864194
"Sino-British Joint Liaison Group"	0.0860638
JLG	0.0858658
"Foreign Relations Committee"	0.0854426
"Council of State"	0.0849477
"Paris Club"	0.0846525
"American Association"	0.0840111
"military commission"	0.0829797
"House Commerce Committee"	0.0819391
CITES	0.081827
CWC	0.0813219
"Federal Council"	0.0813028
PCC	0.0803178
"European Parliament"	0.0801876
"ethics committee"	0.0799594
"Senate Judiciary Committee"	0.0795018
"International Society"	0.0793687
"Appropriations Committee"	0.0791117
CSRC	0.078647
"Supreme Soviet"	0.0782953
"UN Security Council"	0.0782648
"American Heart Association"	0.0781514
"Senate Budget Committee"	0.0776897
"Damascus Declaration"	0.0773904
"Central Committee"	0.0773479
"Constitutional Council"	0.0770627
"Senate Armed Services Committee"	0.0769706
Asia-Europe	0.0768177
"China Securities Regulatory Commission"	0.0765987
"Organization of Islamic Conference"	0.0761174
"Los Angeles City Council"	0.0760344
"steering committee"	0.0754683
"Council of Guardians"	0.0752983
"Russian Communist Party"	0.075113
"Arab Parliamentary Union"	0.0740578
"Guardians Council"	0.0733266
"World Economic Forum"	0.0730419
"Congressional Black Caucus"	0.0727307
"Israeli Knesset"	0.0727298
"board of education"	0.0724887
"Commission on Human Rights"	0.0723252
plc	0.0721328
"House Government Reform Committee"	0.0721232
taskforce	0.0720256
GC	0.0719771
"planning board"	0.0718842
"House Banking Committee"	0.0718426
"NPC Standing Committee"	0.0715461
Duma	0.0712555
"Provisional Urban Council"	0.071123
"United States Congress"	0.0706824
"Public Service Commission"	0.0705467
"Great Hural"	0.0705171
"Banking Committee"	0.0705053
"school board"	0.0701112
"Russian State Duma"	0.0700697
"Texas Legislature"	0.0697521
"conference committee"	0.0696298
"Olympic Council of Asia"	0.0695819
"Group of Seven"	0.069527
eco	0.0689456
"Palestinian Council"	0.0688562
"Contact Group"	0.0686858
"General Committee"	0.0685462
Presidium	0.0677598
"Economic and Social Council"	0.0676943
"State Peace and Development Council"	0.0676795
"Free Democratic Party"	0.0674406
"United Nations Security Council"	0.067385
"Asia-Pacific Economic Cooperation"	0.0671721
"Consultative Group"	0.0671066
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"National Security Council"	0.0669558
"legislative assembly"	0.0666891
"search committee"	0.0661267
"Commerce Committee"	0.0659961
"National Electoral Commission of Nigeria"	0.0658778
"Organizing Committee"	0.0657958
"Non-Aligned Movement"	0.0656693
"Chinese Olympic Committee"	0.0654939
"Asian Football Confederation"	0.0651052
ARF	0.0649973
"legislative council"	0.0646965
"American Psychological Association"	0.0645342
"Southern Baptist Convention"	0.0644141
"World Health Assembly"	0.0643071
ASEM	0.0642438
UUP	0.0637949
"United Nations Conference"	0.063763
"South Asian Association for Regional Cooperation"	0.063686
UCI	0.0636146
"Nevada State Athletic Commission"	0.0635737
"general assembly"	0.0635415
"Council of Europe"	0.0633539
"city council"	0.0632436
"Rio Group"	0.0629976
Politburo	0.0628045
G-@@	0.0625111
"Western European Union"	0.0623513
"CPPCC National Committee"	0.0622
"work group"	0.0621505
"State Duma"	0.0621394
IPU	0.062093
"National Economic Council"	0.0620386
"American Psychiatric Association"	0.0620065
"Central Council"	0.0619422
"Judiciary Committee"	0.0615944
"Consultative Assembly"	0.061582
PUC	0.0614517
"Asian Development Bank"	0.061251
"National Research Council"	0.0610301
"First Session"	0.0610145
"House Judiciary Committee"	0.0609974
"Republican National Committee"	0.0607314
"Nevada Athletic Commission"	0.0601341
"Organization of Petroleum Exporting Countries"	0.0597892
"International Amateur Athletic Federation"	0.0596584
"U.S. Federal Reserve"	0.0592914
"Federal Assembly"	0.0592745
"Human Rights Commission"	0.0591829
Knesset	0.0589924
OCA	0.0589734
"National Resistance Movement"	0.058853
"Provisional Legislative Council"	0.0587086
"National Assembly"	0.0586892
"Federal Communications Commission"	0.0586402
"U.N. Security Council"	0.0583603
PATA	0.0581356
FIA	0.0579827
"working group"	0.0579755
"South Pacific Forum"	0.0579715
WEU	0.0577806
"Economic Community of West African States"	0.0577325
subcommittee	0.0577277
policy-makers	0.0577139
"Central Organ"	0.0574636
))
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BOI	0.202284
"Tourism Authority of Thailand"	0.193482
"Ministry of Trade and Industry"	0.181303
"Commerce Ministry"	0.180073
"Thai Foreign Ministry"	0.177788
"China National Tourism Administration"	0.176827
"Industry Ministry"	0.166052
"Ministry of Communications"	0.165022
"Ministry of Tourism"	0.161855
"Ministry of Science"	0.161813
"Department of Trade and Industry"	0.15941
"Labor Ministry"	0.158899
"Health Ministry"	0.158141
"State Administration for Industry"	0.155578
"Ministry of Trade"	0.154859
"China Youth Development Foundation"	0.153862
"election commission"	0.152829
"Hong Kong Trade Development Council"	0.152821
"Thai Commerce Ministry"	0.150251
"United Nations Conference on Trade and Development"	0.150042
"Hong Kong Tourist Association"	0.146195
"Education Ministry"	0.144472
"Ministry of Forestry"	0.142831
"Ministry of Foreign Trade and Economic Cooperation"	0.142331
"Ministry of Agriculture"	0.140271
"Ministry of International Trade and Industry"	0.139478
"State Forestry Administration"	0.138775
"Ministry of Education"	0.13841
"Ministry of Land"	0.13831
"World Tourism Organization"	0.137985
"State Planning Commission"	0.132547
"Agriculture Ministry"	0.132188
"Ministry of Labor"	0.130669
"National Tourism Administration"	0.12848
"Ministry of Posts"	0.12836
"planning commission"	0.128033
"Home Ministry"	0.1279
"Department of Foreign Affairs"	0.127203
"Finance Ministry"	0.126491
"Ministry of Public Health"	0.124618
"Ministry of Personnel"	0.123093
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"Ministry of Culture"	0.120834
"Ministry of Economy"	0.120533
"Ministry of Foreign Affairs"	0.120349
"Ministry of Information Industry"	0.120221
"State Development Planning Commission"	0.120104
"Executive Committee"	0.116461
"Justice Ministry"	0.116263
"Ministry of Health"	0.115993
"Ministry of Interior"	0.114544
"chamber of commerce"	0.113519
"Inter-Parliamentary Union"	0.112712
"British High Commission"	0.112349
"King Bhumibol Adulyadej"	0.111703
"foreign office"	0.111058
"Ministry of Information"	0.110814
"Asian Development Bank"	0.110081
"State Administration of Cultural Heritage"	0.109888
"Civil Aviation Administration of China"	0.109683
"State Statistics Bureau"	0.109526
"U.N. Development Program"	0.109053
"State Bank of Pakistan"	0.108364
"Ministry of Justice"	0.108019
"Ministry of Foreign Trade"	0.106999
"Department of Environment"	0.106741
"People's Bank of China"	0.106716
"State Flood Control"	0.10671
MOFTEC	0.106299
"Department of Finance"	0.106163
"China Securities Regulatory Commission"	0.105738
"United Nations Industrial Development Organization"	0.105217
"Chinese Olympic Committee"	0.104937
PBOC	0.104212
"United Nations Educational, Scientific and Cultural Organization"	0.104074
"National Electoral Commission of Nigeria"	0.103807
"Central Bank of Nigeria"	0.103751
"Central Bank of Kenya"	0.103742
"Shanghai Municipal Government"	0.102969
"United Nations Children's Fund"	0.102814
"State Environmental Protection Administration"	0.102634
"Foreign Ministry"	0.102499
"Ministry of Public Security"	0.101832
"United Nations Development Program"	0.101511
"Central Bureau of Statistics"	0.101032
"Defense Ministry"	0.1007
ministry	0.100636
"Ministry of Civil Affairs"	0.0997172
"General Administration of Customs"	0.0993731
"ASEAN Secretariat"	0.0992225
"Interior Ministry"	0.0987686
"French Foreign Ministry"	0.0986807
"Ministry of Railways"	0.0983864
"Taiwan Affairs Office"	0.0983542
"State Education Commission"	0.0982241
"Organization for Economic Cooperation and Development"	0.0980597
"State Science and Technology Commission"	0.0980436
"State Administration of Taxation"	0.0979638
"World Health Organization"	0.097691
"Japanese Embassy"	0.097488
"Democrat Party"	0.0973962
"Criminal Investigation Department"	0.0966424
"Olympic Committee"	0.0961599
"Ministry of Water Resources"	0.0959635
"Beijing Municipal Government"	0.0959344
"Health Care Financing Administration"	0.0958826
"municipal government"	0.0955007
"Information Office"	0.0954398
"central bank"	0.0952163
"State Economic and Trade Commission"	0.0944981
"National Bureau of Statistics"	0.0944932
"Ministry of Finance"	0.0939585
"Ministry of Construction"	0.09379
"Publicity Department"	0.093776
"National Economic Council"	0.0933086
"All-China Youth Federation"	0.093248
"Central Commission for Discipline Inspection"	0.0932141
"Human Rights Commission"	0.0930329
HKTA	0.0928473
"World Jewish Congress"	0.0928007
"Department of Health"	0.0925968
"State Administration of Internal Trade"	0.0925416
"Securities and Exchange Commission"	0.0924317
ESCAP	0.092426
"Susanthika Jayasinghe"	0.0918804
"Olympic Council of Asia"	0.0916592
"Ministry of Defense"	0.0916465
"World Intellectual Property Organization"	0.09136
"International Labor Organization"	0.0895535
"Bangladesh Bank"	0.0891559
"Food and Agriculture Organization"	0.0885366
"Israeli Foreign Ministry"	0.0877945
"Air Lanka"	0.0871357
UNCTAD	0.0867665
CIRC	0.0864128
"Organization of Islamic Conference"	0.085632
"Information Ministry"	0.0853866
"China Society"	0.0852043
"Department of Commerce"	0.0851404
"Ministry of Internal Trade"	0.0850344
"Xinhua News Agency Hong Kong Branch"	0.0844825
"Food and Drug Administration"	0.0844225
"Ministry of Energy"	0.0843686
"Shanghai Branch"	0.0841978
"Central Election Commission"	0.0841874
"Council of Europe"	0.0838689
"Chinese Foreign Ministry"	0.0838246
"United Nations Population Fund"	0.0831143
"Ministry of Planning"	0.0825859
"Philippine Central Bank"	0.0823919
Tat	0.0822536
"Hong Kong Monetary Authority"	0.0820528
"Red Cross Society"	0.0818441
"Transport Ministry"	0.0815906
federation	0.0810703
UNHCR	0.0808943
Secretariat	0.0808909
ECA	0.0807771
"International Federation"	0.0806817
"World Meteorological Organization"	0.0805769
"Defense Agency"	0.0805292
"Health Department"	0.0804279
"U.S. Census Bureau"	0.0803603
CSRC	0.0802744
"International Finance Corporation"	0.0802322
"Presidential Palace"	0.0798037
Procuratorate	0.0793838
"Bank of China"	0.0793213
"People's Alliance"	0.0789809
"Civil Aviation Authority"	0.0789784
"Federal Trade Commission"	0.0788063
"Nuclear Regulatory Commission"	0.0786682
"South Pacific Forum"	0.0785764
"World Food Program"	0.0784042
"Department of Agriculture"	0.0780764
"State Peace and Development Council"	0.0779604
"International Badminton Federation"	0.0778387
"Independent Electoral Commission"	0.0777099
WFP	0.0776287
"National Federation"	0.0776035
"United Nations High Commissioner for Refugees"	0.0775613
"Supachai Panitchpakdi"	0.0775053
"Western Province"	0.0774536
"Department of Health and Human Services"	0.0773498
"general staff"	0.0771858
"Dhaka Stock Exchange"	0.0769844
bureau	0.0769468
"Badminton Association of Indonesia"	0.076292
CNTA	0.0762889
"Department of State"	0.0762694
"Common Market for Eastern and Southern Africa"	0.0762431
"Atomic Energy Commission"	0.0761373
ADB	0.0758453
"Information Center"	0.0755997
"Presidential Office"	0.075362
"International Maritime Organization"	0.0751802
"World Bank"	0.0751606
"Russian Security Council"	0.0750701
UNDP	0.0749604
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"board of trustees"	0.166525
regent	0.16589
"House Appropriations Committee"	0.165827
"Senate Appropriations Committee"	0.142189
"school board"	0.140542
"Senate Finance Committee"	0.138091
"city council"	0.137796
"North Atlantic Council"	0.136056
"House Ways and Means Committee"	0.134142
"Israeli Cabinet"	0.133463
"executive council"	0.13204
"Federal Communications Commission"	0.130206
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"board of directors"	0.125418
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"governing board"	0.121557
"Board of Supervisors"	0.120264
"finance committee"	0.119676
"Banking Committee"	0.118807
"state legislature"	0.118343
"House Banking Committee"	0.118259
FCC	0.118179
"Department of Education"	0.114839
"Senate Foreign Relations Committee"	0.113648
"House International Relations Committee"	0.113565
"Department of Transportation"	0.112487
"Board of Governors"	0.111877
"Rules Committee"	0.110981
"Texas Legislature"	0.110868
"ethics committee"	0.110286
"PLO Executive Committee"	0.108426
"Judiciary Committee"	0.106226
"House Judiciary Committee"	0.106111
"Senate Commerce Committee"	0.105738
"House Budget Committee"	0.104304
legislature	0.102578
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"Senate Armed Services Committee"	0.102077
"House Commerce Committee"	0.101614
"Public Service Commission"	0.10155
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"Ways and Means Committee"	0.0992325
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"Palestine National Council"	0.0988669
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"Food and Drug Administration"	0.0977781
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Council	0.0961695
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"steering committee"	0.0958715
"Federal Trade Commission"	0.0953584
"court of appeals"	0.0952951
"legislative assembly"	0.0949628
NSC	0.0944959
Duma	0.0934016
"appeals court"	0.0933461
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PUC	0.0926931
"Senate Governmental Affairs Committee"	0.092609
"House of Representatives"	0.0922886
"Federation Council"	0.0922792
"Council of Ministers"	0.092169
"Board of Elections"	0.0912024
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"Los Angeles City Council"	0.0910097
"Security Council"	0.0907094
"Palestinian National Council"	0.0906579
"planning commission"	0.0905335
"State Duma"	0.089296
"Great Hural"	0.088487
FDA	0.0883508
PNC	0.088016
"Supreme Council"	0.0880129
"UN Security Council"	0.0871922
"European Parliament"	0.0870267
"Executive Board"	0.0862013
"International Olympic Committee"	0.0860987
"Senate Budget Committee"	0.0860306
"Ethics Commission"	0.0859321
"Constitutional Council"	0.0853817
"Foreign Relations Committee"	0.0852139
"Federal Council"	0.0852132
"Senate Banking Committee"	0.0847337
"Palestinian Council"	0.0842785
"Congressional Black Caucus"	0.0842544
regulator	0.0838425
"Department of Environmental Conservation"	0.0838078
"House Government Reform Committee"	0.0837387
"Commerce Committee"	0.0835793
"general assembly"	0.0832223
"Nevada Athletic Commission"	0.0831019
trustee	0.0829103
"Commission on Human Rights"	0.0823745
"General Council"	0.0822014
faculty	0.0814442
"Executive Committee"	0.0812639
"Nuclear Regulatory Commission"	0.0809696
"International Civil Aviation Organization"	0.080534
"conference committee"	0.0805112
"standing committee"	0.0805034
"Provisional Ruling Council"	0.0804347
"appellate court"	0.0803154
plc	0.0798426
"Russian Duma"	0.0797912
"European Commission"	0.0796888
"Federal Open Market Committee"	0.0796325
IOC	0.0790915
"advisory board"	0.0787203
"Guardian Council"	0.0786431
subcommittee	0.0785554
"insurance regulator"	0.078011
"search committee"	0.0779502
"regulatory agency"	0.077928
"State Council"	0.0775782
"Supreme Court"	0.0766657
"International Maritime Organization"	0.0765068
"Department of Motor Vehicles"	0.0760717
"U.S. Supreme Court"	0.0752262
EPA	0.0750665
"Guardians Council"	0.0750071
"Constitutional Assembly"	0.0749139
"Paris Club"	0.0749136
Icann	0.0746841
"Sanctions Committee"	0.0744424
"Israeli Knesset"	0.0741135
"National Assembly"	0.0740701
FEC	0.07404
"National Gambling Impact Study Commission"	0.0737926
Chancellor	0.0736824
"Russian Security Council"	0.0736315
"Electoral Commission"	0.0735332
FOMC	0.0731466
"antitrust regulator"	0.0731017
"Civil Aviation Administration of China"	0.0730469
"Russian State Duma"	0.0727385
"General Committee"	0.072712
"Ministry of Forestry"	0.0726329
"Consumer Product Safety Commission"	0.0725783
CEC	0.072376
"planning board"	0.0723298
CSRC	0.0720649
"high court"	0.0718154
"Department of Commerce"	0.0718058
"Organization of Petroleum Exporting Countries"	0.0717683
"National Security Council"	0.0715622
Presidium	0.0715341
cabinet	0.0714838
Assembly	0.071453
"EU Commission"	0.0714387
CWC	0.0713111
Knesset	0.0708963
"Health Department"	0.0708624
MPR	0.0706662
"Commonwealth Ministerial Action Group"	0.0705493
"State Peace and Development Council"	0.0703032
"NPC Standing Committee"	0.0700062
"National Association of Securities Dealers"	0.0699237
"Football Association"	0.069919
CMAG	0.0695198
"National Council"	0.069175
"Republican National Committee"	0.0691242
GC	0.0690847
"Congress Standing Committee"	0.0690308
"Palestinian Central Council"	0.0687344
"Commission on Elections"	0.0686684
"Federal Election Commission"	0.068615
NCAA	0.0685597
"Supreme Soviet"	0.0681909
"Nevada State Athletic Commission"	0.0676548
Majlis	0.067333
Politburo	0.0670898
"South Pacific Forum"	0.0668183
"Revolutionary Command Council"	0.0667358
"Monetary Policy Committee"	0.0666819
"Federal Aviation Administration"	0.0665742
"National Executive Committee"	0.0665424
IAAF	0.0664369
SEC	0.0663977
legislator	0.0661026
JMC	0.0659824
"Department of Corrections"	0.0659466
"United States Congress"	0.0658177
"Environmental Protection Agency"	0.065646
"Business Council"	0.065347
"Janet Reno"	0.0652699
FIFA	0.0650803
"Provisional Legislative Council"	0.0649047
"Attorney General"	0.0648644
CITES	0.0646056
"military commission"	0.0645287
"Lower House"	0.0645134
Comptroller	0.0644147
"Constitutional Court"	0.0642547
KPU	0.0639388
"European Council"	0.0636012
"Central Committee"	0.0634466
"Department of Agriculture"	0.0632581
"State Planning Commission"	0.0631479
"National Academy of Sciences"	0.0629819
))
("Board of Supervisors" (desc 2486.35) (sims
"Los Angeles City Council"	0.20719
"Board of Elections"	0.187567
"planning commission"	0.176276
"Philippine Senate"	0.165657
"city council"	0.160252
"board of education"	0.15449
"Human Rights Commission"	0.152871
"planning board"	0.149654
"Senate Appropriations Committee"	0.134121
"U.S. Soccer Federation"	0.133499
"House International Relations Committee"	0.130872
"Texas House"	0.129485
"Federal Council"	0.128417
"Senate Finance Committee"	0.126978
"school board"	0.126392
Bundestag	0.125282
"Texas Senate"	0.125003
"Rules Committee"	0.12389
FIBA	0.121465
"Israeli Cabinet"	0.121202
"House Ways and Means Committee"	0.120754
"board of regents"	0.120264
"Texas Legislature"	0.118322
"Appropriations Committee"	0.116366
"governing board"	0.114906
"House Appropriations Committee"	0.114638
"Senate Commerce Committee"	0.113227
"Chinese Olympic Committee"	0.112355
UCI	0.112216
"Public Service Commission"	0.112214
"House Commerce Committee"	0.111089
"House Budget Committee"	0.110691
"PLO Executive Committee"	0.109459
"EU Commission"	0.109409
"Russian Duma"	0.109294
"International Society"	0.108904
"Israeli Knesset"	0.107717
FIVB	0.107685
FCC	0.107231
"board of trustees"	0.106976
OCA	0.106673
"Senate Armed Services Committee"	0.106258
"finance committee"	0.10615
"U.S. Export-Import Bank"	0.105102
"Ways and Means Committee"	0.105016
"Olympic Council of Asia"	0.10484
"Australian Olympic Committee"	0.104589
"Supreme Council"	0.103693
"Senate Foreign Relations Committee"	0.103479
"Asian Football Confederation"	0.102739
"Senate Banking Committee"	0.102497
"Department of Environmental Protection"	0.102076
IAAF	0.101958
"executive council"	0.101946
FIA	0.101147
"Great Hural"	0.100945
"Southern Baptist Convention"	0.100706
ITF	0.100253
ITTF	0.0998752
"Board of Governors"	0.0994156
"Supreme Soviet"	0.099178
"Constitutional Court"	0.098328
GC	0.0982607
"Consumer Product Safety Commission"	0.0978965
"Executive Committee"	0.0974426
"Atomic Energy Commission"	0.0972587
"House Banking Committee"	0.097073
"Constitutional Assembly"	0.0967264
"Russian State Duma"	0.095831
"North Atlantic Council"	0.0953036
"Palestine National Council"	0.0952119
"US House"	0.0948286
Presidium	0.0947798
"Senate Budget Committee"	0.0947234
"European Council"	0.0944372
"Banking Committee"	0.0941311
"state legislature"	0.0939611
"New Korea Party"	0.0938371
PUC	0.0937784
"American Bar Association"	0.0936565
"Foreign Relations Committee"	0.0935685
"United Nations Security Council"	0.0933008
"Palestinian National Council"	0.0932961
"Colorado Party"	0.0930073
"UN Security Council"	0.0927115
"Senate Judiciary Committee"	0.0925658
"Health Department"	0.0923214
"Nevada Athletic Commission"	0.0918547
"Salt Lake Organizing Committee"	0.091339
"Allied Pilots Association"	0.0909954
"Palestinian Legislative Council"	0.0909754
"Federation Council"	0.0908126
"International Tennis Federation"	0.0897493
"General Committee"	0.0896916
CAF	0.0895467
"European Parliament"	0.0894876
"Palestinian Council"	0.0893079
"Congressional Black Caucus"	0.0891923
"National Council"	0.0891565
NSC	0.0890738
regent	0.0882357
"House Government Reform Committee"	0.0879782
rank-and-file	0.0876895
"Federal Communications Commission"	0.0872482
"United States Congress"	0.0871829
USTA	0.087135
UNIP	0.0871113
"British Parliament"	0.087051
"Executive Board"	0.0865442
"Russian Parliament"	0.0864197
"Organizing Committee"	0.086393
"National Commission"	0.086282
IGC	0.0862404
MPLA	0.0861511
FINA	0.0861502
SCLC	0.0857604
"Council of Ministers"	0.085546
"National Executive Committee"	0.0854734
"Congress Working Committee"	0.0849415
"Judiciary Committee"	0.0847243
"Sydney Organizing Committee"	0.0846851
"Police Commission"	0.0846851
"Food and Drug Administration"	0.0845509
"Screen Actors Guild"	0.0844151
"Mormon Church"	0.0843979
"Council of State"	0.0840764
"Zimbabwe African National Union-Patriotic Front"	0.0839804
"Provisional Legislative Council"	0.0839387
"House of Representatives"	0.083687
plc	0.0835716
"U.S. Olympic Committee"	0.0835324
"council member"	0.0824302
FIFA	0.0822793
"International Olympic Committee"	0.0820716
SFA	0.082004
"legislative assembly"	0.0819869
"Council of Guardians"	0.0818368
"Guardian Council"	0.0818088
"National Assembly"	0.0817864
Knesset	0.0817468
"Council of Europe"	0.0816715
"House of Commons"	0.0813098
"CBS Sports"	0.0812806
"ethics committee"	0.0811147
"House Judiciary Committee"	0.081093
"Metropolitan Transportation Authority"	0.0810896
"International Amateur Athletic Federation"	0.0809354
"U.N. Human Rights Commission"	0.0808415
"African National Congress"	0.0804636
"Labor office"	0.0801189
"National Association of Broadcasters"	0.0800667
"Organization of Islamic Conference"	0.0799454
"Texas Supreme Court"	0.0799388
"Ethics Commission"	0.0798614
APA	0.0798344
"board of directors"	0.0798336
"Guardians Council"	0.0797397
"Business Council"	0.0795987
"Motion Picture Association of America"	0.0795016
"National Labor Relations Board"	0.0794092
Duma	0.0791996
"National Organization"	0.0791628
NARAL	0.0791534
USGA	0.0790569
CPAFFC	0.0789699
NRC	0.0788569
DLC	0.0788394
"Local @@"	0.0787681
"United States Senate"	0.0786793
"European Bank for Reconstruction"	0.0786737
"Nationalist Party"	0.0785429
"United Steelworkers"	0.0783971
"International Ski Federation"	0.0782896
"Atlanta Committee"	0.0782441
"Air Line Pilots Association"	0.0781708
FDA	0.0780582
CASS	0.077151
"International Association of Machinists"	0.077128
"National League for Democracy"	0.0769324
"United Malays National Organization"	0.0768477
"ethics panel"	0.0767316
"Association of Flight Attendants"	0.076642
"Sanctions Committee"	0.0766372
"Communications Workers of America"	0.0765326
CCPIT	0.0765077
"Olympic Committee"	0.0764369
AmCham	0.0761338
"U.S. Golf Association"	0.076116
"Commonwealth Ministerial Action Group"	0.0759654
Ordinance	0.0757613
SDP	0.0756099
"All-China Journalists Association"	0.0754421
"general assembly"	0.0752699
"United Way"	0.0750845
"Federal Election Commission"	0.0748547
"patent office"	0.0748137
"U.N. Security Council"	0.0747939
"Commerce Committee"	0.074782
"Security Council"	0.0745751
"Monetary Policy Committee"	0.0745144
))
("Board of Trade" (desc 3444.71) (sims
"New York Mercantile Exchange"	0.32231
"Chicago Mercantile Exchange"	0.309836
"Chicago Board of Trade"	0.270119
"takeover speculation"	0.116638
"Toronto Stock Exchange"	0.10806
"New York Stock Exchange"	0.103642
"London Stock Exchange"	0.0994177
Histadrut	0.0875629
"stock exchange"	0.0871098
"Nasdaq Stock Market"	0.0853395
"Singapore Stock Market"	0.082721
"U.S. Soccer Federation"	0.0807876
"Bombay Stock Exchange"	0.0789973
"Olympic Council of Asia"	0.076584
"Karachi Stock Exchange"	0.0764776
"Association of Flight Attendants"	0.0754153
"Big Board"	0.074675
DSE	0.074486
"Tokyo Stock Exchange"	0.0715892
AFI	0.0689886
"Medical Society"	0.0674523
CSE	0.0664031
CNPC	0.0662377
"Housing Authority"	0.0651738
OCA	0.0639835
"Chinese Olympic Committee"	0.0637484
UNIP	0.0633382
SPC	0.0607799
CEC	0.0604301
"Board of Investment"	0.0603492
DLC	0.0602057
KLSE	0.0597148
AmCham	0.0596887
"London Metal Exchange"	0.0593401
bargain-hunting	0.0591469
"U.S. Olympic Committee"	0.0584269
"Australian Olympic Committee"	0.058402
YankeeNets	0.0581388
"Wine Institute"	0.0578842
ARATS	0.0569793
"House Budget Committee"	0.056828
INEC	0.0562723
CIRC	0.0556647
"foreign exchange market"	0.0554796
SCLC	0.0553085
CCF	0.0545759
NARAL	0.0543956
"Stock Exchange of Thailand"	0.0541381
KPA	0.0535497
CPAFFC	0.0531772
"Organizing Committee"	0.0530719
CNOOC	0.0529704
"machinists union"	0.0526514
CMA	0.0525136
"National Association of Manufacturers"	0.0523145
"King Bhumibol Adulyadej"	0.0522203
BSA	0.0520801
"Humane Society"	0.0516272
"U.S. Golf Association"	0.0510585
"District Council"	0.0510031
BOC	0.0509509
"United Steelworkers"	0.0507588
"Jakarta Stock Exchange"	0.0500903
"CBS Sports"	0.0498358
"Rotary International"	0.049521
"Mormon Church"	0.0494923
"Con Ed"	0.0494427
"Bosnian Serb Republic"	0.0490174
EBRD	0.0482315
"Atomic Energy Commission"	0.0477714
KPU	0.0475216
MPAA	0.0473098
DPP	0.0472469
"short covering"	0.047136
"Supachai Panitchpakdi"	0.046536
"Salt Lake Organizing Committee"	0.0464976
"Eastern Shore"	0.0464838
"Mitsubishi Motors"	0.0463069
"U.S. Chamber of Commerce"	0.0462445
ama	0.0459271
IEC	0.0459205
"high street"	0.0458994
ICBC	0.0458621
"Truth Commission"	0.0458101
"Local @@"	0.0456357
CCPIT	0.0454679
CITIC	0.0454675
trampoline	0.0453622
"Southeastern Legal Foundation"	0.0452322
MCC	0.045213
STI	0.0450514
Carrefour	0.0447861
"International Ski Federation"	0.0446272
"Kuala Lumpur Stock Exchange"	0.0445238
ICA	0.0445101
KONI	0.0444843
CFTC	0.0444512
ECB	0.0442219
"exchange market"	0.044114
CFA	0.0440558
"All-China Youth Federation"	0.0438634
ITC	0.0438338
CSC	0.0437762
"United Way"	0.0437552
"Communications Workers of America"	0.0437529
"Board of Elections"	0.0436986
"Audubon Society"	0.0436616
NSC	0.0434847
Bundestag	0.043452
WEF	0.0433194
"Parliamentary Assembly"	0.043297
"Ford Foundation"	0.0432772
Pertamina	0.0432534
"EU Commission"	0.0428279
"Common Cause"	0.0427528
"Screen Actors Guild"	0.0426752
ACWF	0.042645
"Serb Republic"	0.0426219
"United Auto Workers"	0.0425054
"National Education Association"	0.0423142
CWA	0.0422555
MMD	0.042247
"Health and Welfare Ministry"	0.0422362
"National Urban League"	0.0422145
CSX	0.0422045
JMC	0.0421973
"Southern Co."	0.0421704
"Urban League"	0.0421437
"more than three-fourths"	0.0421107
Starwood	0.0420901
"Republika Srpska"	0.0420322
MDC	0.0419683
"Business Council"	0.0418319
USTA	0.0418011
Marketspan	0.0417131
KSE	0.0416251
"Information Ministry"	0.0414885
FSA	0.0414853
"American Red Cross"	0.041476
"Banking Committee"	0.0413708
"Serbian Republic"	0.0413443
NHRA	0.0413013
FIA	0.041289
LIFFE	0.0411238
ACFTU	0.0410798
SPDC	0.0410461
Instinet	0.0409835
"Labor office"	0.0409443
teamster	0.0408485
PCC	0.0408319
"Boys Ranch"	0.040806
Laban	0.040554
ITTF	0.0404077
COSCO	0.0403197
CMAG	0.0401831
"Hong Kong Stock Exchange"	0.0401264
SLOC	0.0400616
))
("board of trustees" (desc 10466.8) (sims
"board of directors"	0.192552
trustee	0.185412
"ethics committee"	0.185361
"board of regents"	0.166525
"governing board"	0.162266
"finance committee"	0.149135
"ethics panel"	0.146262
"House Appropriations Committee"	0.141812
"school board"	0.139938
"executive council"	0.136887
"search committee"	0.133986
board	0.133712
"Senate Finance Committee"	0.133145
"Rules Committee"	0.128309
"Appropriations Committee"	0.126757
"advisory board"	0.126497
"steering committee"	0.124623
"House Ways and Means Committee"	0.11897
"Senate Appropriations Committee"	0.118896
"board of education"	0.11865
"city council"	0.114152
"Board of Governors"	0.113483
"history department"	0.113396
Council	0.112941
"Ways and Means Committee"	0.110384
"House Budget Committee"	0.109181
"Israeli Cabinet"	0.108476
"Board of Supervisors"	0.106976
Presidium	0.106214
committee	0.10167
"control board"	0.100325
"Supreme Council"	0.0976941
"Judiciary Committee"	0.0976647
"Executive Committee"	0.0968882
faculty	0.0967556
"House International Relations Committee"	0.0963825
"Great Hural"	0.0960763
"House Commerce Committee"	0.0949056
"Palestinian Council"	0.0944587
"task force"	0.0931291
"Council of Ministers"	0.0920578
subcommittee	0.0912706
"standing committee"	0.0910063
"National Security Council"	0.0909302
panel	0.0909274
"legislative assembly"	0.0906274
"House Judiciary Committee"	0.0896604
commission	0.0895649
"United Nations Security Council"	0.0891948
"Philippine Senate"	0.08818
"PLO Executive Committee"	0.0874138
"military commission"	0.0873831
"English department"	0.0864752
"Nevada Athletic Commission"	0.086308
"Congress Working Committee"	0.0856652
"National Gambling Impact Study Commission"	0.0852422
"Federation Council"	0.0850178
"Senate Foreign Relations Committee"	0.0849138
"conference committee"	0.0846867
"Commerce Committee"	0.0844725
"Congressional Black Caucus"	0.0840089
"Executive Board"	0.0839838
"Senate Judiciary Committee"	0.0833984
cabinet	0.083074
"economics department"	0.082828
"Senate Commerce Committee"	0.0819112
"Palestinian National Council"	0.0814546
"Foreign Relations Committee"	0.0810777
PCC	0.0809267
"Electoral Commission"	0.0808994
"Banking Committee"	0.0808591
"Senate Armed Services Committee"	0.0806167
Duma	0.0802646
"working group"	0.0794429
"Federal Reserve Board"	0.0793827
"North Atlantic Council"	0.0789534
"Senate Budget Committee"	0.0788859
"Senate Banking Committee"	0.0787893
regent	0.0786636
"Democratic Leadership Council"	0.0785382
"planning commission"	0.0781084
plc	0.0776584
NSC	0.0774847
JMC	0.0772162
"House Banking Committee"	0.076975
"Ethics Commission"	0.0765152
"Security Council"	0.0759123
"Israeli Knesset"	0.075684
"Congress Standing Committee"	0.0755495
"State Peace and Development Council"	0.0755294
CMAG	0.0752082
legislature	0.0751404
"Texas Supreme Court"	0.0743724
"Police Commission"	0.0740882
"National Council"	0.0737342
FOMC	0.0736226
PNC	0.0732008
"Palestine National Council"	0.0731818
"State Duma"	0.0730026
Politburo	0.0729992
"National Assembly"	0.0729983
"planning board"	0.0728035
"U.N. Security Council"	0.0719652
"Republican National Committee"	0.0719015
"Public Service Commission"	0.0716586
"Russian State Duma"	0.0715977
IOC	0.0711473
"Russian Duma"	0.0711136
"General Council"	0.0707217
"Federal Open Market Committee"	0.0699471
"Supreme Soviet"	0.0698992
Chancellor	0.0696216
"Federal Council"	0.0694592
"House of Representatives"	0.069039
DLC	0.0689645
CEC	0.0684036
"Provisional Legislative Council"	0.0683175
"UN Security Council"	0.0683079
"Senate Governmental Affairs Committee"	0.0682275
"General Committee"	0.0678295
"Revolutionary Command Council"	0.0677369
"general assembly"	0.0674805
"Council of State"	0.0674166
"Los Angeles City Council"	0.0672215
"Constitutional Council"	0.0670882
"International Olympic Committee"	0.0670011
"European Parliament"	0.0669385
"legislative council"	0.0669155
"Federal Communications Commission"	0.0668566
"Jerusalem Committee"	0.0667476
"Council of Guardians"	0.0665299
"Constitutional Assembly"	0.0664653
"Commission on Human Rights"	0.0662751
"Business Council"	0.0661464
"Palestinian Central Council"	0.0660193
"state legislature"	0.0660159
"Central Committee"	0.0656292
Assembly	0.0655954
"National Economic Council"	0.0655424
"House Government Reform Committee"	0.065369
"board member"	0.0653441
administrator	0.0651917
Knesset	0.0649345
"Central Council"	0.0647516
PUC	0.0644943
"election commission"	0.064442
"Human Rights Commission"	0.0643182
"South Pacific Forum"	0.0642266
"Joint Military Commission"	0.0641792
GC	0.064083
"court of appeals"	0.0640577
"Chinese Olympic Committee"	0.0640318
"International Society"	0.0639678
"Texas Legislature"	0.0639255
endowment	0.0638033
Provost	0.0637256
"Constitutional Court"	0.0637196
"Supreme Court"	0.062909
CSRC	0.0627963
"Organizing Committee"	0.0626773
"Guardian Council"	0.0626431
Majlis	0.0625452
"Lower House"	0.0625158
"interim committee"	0.0624633
"Council of Economic Advisers"	0.0620398
"Commonwealth Ministerial Action Group"	0.061357
MPR	0.0613553
dean	0.061178
"faculty member"	0.0609418
chairmen	0.0607587
CWC	0.0606492
"National Committee"	0.0605424
"Parades Commission"	0.0604997
"Monetary Policy Committee"	0.0604668
"high court"	0.0604151
superintendent	0.0603672
"Democratic National Committee"	0.0602489
"Allied Pilots Association"	0.0596894
"European Council"	0.0596428
"vice chancellor"	0.0595331
"basketball team"	0.0591899
"Salt Lake Organizing Committee"	0.0587351
"Provisional Ruling Council"	0.0586923
"Board of Elections"	0.058441
"Foreign Affairs Committee"	0.058417
"National Republican Congressional Committee"	0.0583813
"Arab Parliamentary Union"	0.0582938
DNC	0.0581323
"Nuclear Regulatory Commission"	0.0578824
SDP	0.0578176
"work group"	0.0575036
"National Association"	0.0574561
OAS	0.0574546
"Kosovo Verification Mission"	0.0573735
AmCham	0.0571438
Alumni	0.0569644
"art department"	0.056957
"NPC Standing Committee"	0.0569114
"baseball coach"	0.0567942
"committee member"	0.0567248
))
(boarder (desc 2907.22) (sims
snowmobilers	0.153199
snowboarders	0.15077
snowboarder	0.142222
"scuba diver"	0.0728621
skateboarder	0.070164
mainlanders	0.0691319
surfer	0.0650846
motorcyclists	0.0624371
kayakers	0.061515
skier	0.0595788
snowbird	0.0595098
outdoorsman	0.0567366
boarding	0.0565253
escapee	0.0538807
trespasser	0.0538436
hiker	0.053239
holidaymaker	0.0522735
intruder	0.052022
Rhine	0.0512488
bikers	0.0511336
celebs	0.0508871
Killington	0.050593
illegals	0.0505578
bather	0.0498362
"church member"	0.0496546
canoeist	0.0488801
major-leaguers	0.0484923
beachgoers	0.0466345
mega-mergers	0.0462775
climber	0.0460599
vacationer	0.0458524
skiiers	0.0457799
signees	0.045659
sightseer	0.0454015
"Congo River"	0.0448067
triathletes	0.0443687
non-Albanians	0.0441224
MiG-@@s	0.0435382
sherpas	0.0429903
homebuyers	0.0429582
"census taker"	0.0427404
hipsters	0.0426674
"full term"	0.0426228
pre-Olympic	0.0422694
"management change"	0.0415792
adoptees	0.0413378
loon	0.0410454
vaulter	0.0409156
"Baby Bells"	0.0400223
))
(boarding (desc 8360.6) (sims
elbowing	0.0620543
booking	0.0596301
onboard	0.0586545
landing	0.0585878
dwt	0.0574777
boarder	0.0565253
camping	0.0562948
loading	0.0562177
"ice skating"	0.0557345
sightseeing	0.0548969
checkout	0.0544824
boating	0.0534508
handball	0.0533024
registration	0.0523002
AN-@@	0.0513988
slashing	0.0512503
commuter	0.0510159
SDH	0.0505853
surfing	0.0498321
A-@@@	0.0492347
checking	0.0490982
"scuba diving"	0.0490935
AWACS	0.0490426
double-decker	0.0489971
parking	0.0485095
refund	0.0484932
bicycling	0.0482117
hiking	0.0481921
reconnaissance	0.047334
accommodation	0.0472829
C-section	0.0472372
"horseback riding"	0.0467415
lodging	0.0460221
fingerprinting	0.0459061
takeoff	0.0458721
evacuation	0.0458169
quarantine	0.0455943
visa	0.044757
piloting	0.0447418
Thirty-three	0.0446212
"work permit"	0.0444978
shipping	0.0443674
"fire control"	0.0443385
"medical care"	0.0438668
excursion	0.0437383
skiing	0.0436808
freight	0.0436054
C-@@	0.0434604
repatriation	0.0433955
tailgate	0.042933
hunting	0.0427969
outpatient	0.042755
clearance	0.0426679
nominating	0.0422516
"Indian Airlines"	0.0416534
TWA	0.0414321
enlistment	0.0412924
cancellation	0.0411005
luggage	0.0409763
screening	0.0409626
"Turkish Airlines"	0.0408406
ranching	0.0406476
Skating	0.0405744
installing	0.0403446
Mozambican	0.0403019
overdraft	0.0402902
"starting time"	0.0402397
transit	0.0400175
))
("boarding house" (desc 2075.01) (sims
hostel	0.108439
"gambling casino"	0.0989588
dormitory	0.0881964
guesthouse	0.0853646
"rooming house"	0.0832189
"police captain"	0.0821934
motel	0.0812158
"row house"	0.0811537
Convent	0.0806042
bed-and-breakfast	0.0803544
"bank vault"	0.0787364
councilwoman	0.075279
duplex	0.0749986
"motel room"	0.0725846
discotheque	0.0721057
brothel	0.0700805
"tea house"	0.0691525
"dance hall"	0.06788
dorm	0.0675927
orphanage	0.0671658
saloon	0.0665611
"hotel room"	0.0663185
"apartment house"	0.0652831
"beauty parlor"	0.0650154
"town house"	0.0640299
"beach house"	0.0633841
"police sergeant"	0.0627905
condo	0.0620085
bordello	0.061712
"Olympic Village"	0.0615023
"dark ages"	0.0613039
"dorm room"	0.0610841
canteen	0.0609971
"open-air market"	0.0601074
townhouse	0.0597938
nunnery	0.0595825
speakeasy	0.0591862
high-rise	0.0591571
farmhouse	0.059151
cottage	0.0590636
lean-to	0.0589515
"mobile home"	0.0588555
shack	0.0588319
"retail operation"	0.0587444
pub	0.0586403
nightclub	0.0584545
"pizza parlor"	0.0584274
"recording studio"	0.0582055
"clothing store"	0.0581895
"apartment building"	0.0581316
"savings bank"	0.0576832
"foster home"	0.0571104
hovel	0.0570143
eateries	0.0567228
bakery	0.0567184
"B&AMP;B"	0.0565935
walk-up	0.0565908
"military hospital"	0.0561978
kennel	0.0561791
storeroom	0.0557279
tearoom	0.0557086
tenement	0.0554694
"Grand Hotel"	0.0554294
ballroom	0.0552355
"resort hotel"	0.0552294
"bowling alley"	0.0551823
"booking agent"	0.055169
"law practice"	0.0548489
"movie theater"	0.0547667
"liquor store"	0.0547581
bungalow	0.0540605
shantytown	0.053993
"beauty shop"	0.0538293
slum	0.0537149
"studio apartment"	0.0536735
nightspots	0.0534433
claimer	0.0531758
"trailer park"	0.0530719
fishbowl	0.0527606
"manor house"	0.0524938
"ranch house"	0.0522571
"roulette wheel"	0.0522018
eats	0.0520784
"South End"	0.0520784
"boarding school"	0.0520077
pizzeria	0.0519052
enclosure	0.0518716
"bus terminal"	0.0516292
landscaper	0.05143
"car park"	0.051375
"housing development"	0.0512716
"coffee shop"	0.0512277
campground	0.0512057
spas	0.0511235
"residential district"	0.0506919
campsite	0.0504379
"dormitory room"	0.050114
condominium	0.0500862
Triptych	0.0500059
"religious school"	0.0500033
"mental hospital"	0.0500009
hut	0.0496563
"hole in the ground"	0.0495626
hairdresser	0.0495228
"Newport Beach"	0.0493369
smelter	0.049295
"Republican Convention"	0.0492588
"business district"	0.0489848
"computer business"	0.048933
tavern	0.0488564
seminary	0.048808
"police state"	0.0487853
"police lieutenant"	0.0485576
"fire station"	0.0483095
chaebols	0.0482683
Igloo	0.0482381
"beauty salon"	0.0482164
"chicken coop"	0.0481611
"Hollywood Hills"	0.0480462
"public eye"	0.0480316
"Overland Park"	0.0479418
Nacogdoches	0.0478372
sanitarium	0.0477891
"fantasy world"	0.0476245
"coffee bar"	0.0475235
landfill	0.0472601
"music school"	0.0471768
"training school"	0.0471537
"jewelry store"	0.0469632
"back room"	0.0469047
Steakhouse	0.0468454
"wise guy"	0.0468098
"pinball machine"	0.0468054
"Rockland County"	0.0465329
campgrounds	0.0462032
morgue	0.0462021
"petri dish"	0.0461832
"market town"	0.0461768
pick-and-roll	0.0460298
"investment company"	0.0460206
"convenience store"	0.0459514
"mind's eye"	0.0458736
"Catholic school"	0.0456189
hangout	0.0454705
"numbers game"	0.0454028
disco	0.0453995
Tsvangirai	0.0452362
"international criminal court"	0.0452178
"entertainment center"	0.0451968
"state prison"	0.0450602
confab	0.0450587
junkyard	0.0449257
"bus station"	0.0448858
"Mill Valley"	0.0445877
"subway station"	0.0445614
"deposit box"	0.0445181
Falmouth	0.0444731
Hyatt	0.0442211
sloop	0.0440007
"World Food Summit"	0.0439634
shanty	0.0438919
commune	0.0438824
brewery	0.0437314
Hilton	0.0436866
"Holiday Inn"	0.0436733
"wedding reception"	0.0436659
"specialty store"	0.0436641
Cornish	0.0435796
"Brooklyn Heights"	0.0433982
encampment	0.0433955
"General Services Administration"	0.0433783
"Paradise Valley"	0.0432779
schoolhouse	0.0432465
mainlanders	0.0431863
"commercial enterprise"	0.0431632
ghetto	0.0430701
"subway train"	0.0430223
consulate	0.0429791
"Brighton Beach"	0.0428579
nightspot	0.0428458
parlor	0.0426162
hyphen	0.0425433
"shoe store"	0.0424873
"carriage house"	0.0424503
"Lord's Prayer"	0.0423577
Kirkland	0.0423342
Brasserie	0.0423011
bazaar	0.0423005
garret	0.0422915
"medical institution"	0.0422085
"general store"	0.0421641
"UNIX operating system"	0.0419689
straining	0.0419388
Icebox	0.0418948
"Manhattan Beach"	0.0418378
"Hell's Kitchen"	0.041575
"machine shop"	0.041534
"medical center"	0.0414228
"field hospital"	0.041415
shipyard	0.0413979
))
("boarding pass" (desc 1791.72) (sims
"order form"	0.134886
"membership card"	0.115032
"speeding ticket"	0.107787
ID	0.104417
"identity card"	0.103914
"Christmas card"	0.0974832
wristband	0.0938908
"name tag"	0.0935659
"credit report"	0.0887591
"ticket stub"	0.0887176
"business card"	0.0869024
"bank statement"	0.0844608
stub	0.0831406
"application form"	0.080196
"parking ticket"	0.0763555
"form letter"	0.0746463
"marriage license"	0.0737462
"birth certificate"	0.0732504
"performance evaluation"	0.0716475
postmark	0.0713327
Momma	0.0708089
"work permit"	0.0705625
"driver's license"	0.0704303
"Social Security number"	0.0703398
coupon	0.0702214
"distress signal"	0.0687374
cheque	0.0687296
toolbox	0.067199
mammogram	0.0671774
chaperone	0.0670835
handbill	0.0667186
"power of attorney"	0.066543
feeler	0.0665106
Banknote	0.0650892
wrapper	0.064292
"cash bonus"	0.0640912
"travel plan"	0.0639895
"postage stamp"	0.0638699
"golden parachute"	0.0638228
hairstylist	0.0632945
stethoscope	0.0623312
"raw data"	0.0622791
"registration number"	0.0618366
"dollar bill"	0.0618055
earplugs	0.0614386
"positive feedback"	0.0613797
"dividend payment"	0.0610389
"license plate"	0.0608573
"water bottle"	0.0604429
"piece of cloth"	0.0600244
"fishing license"	0.0597942
"purchase order"	0.0595823
"return address"	0.0593064
bandanna	0.0593056
"tax form"	0.0591697
"death warrant"	0.0589747
"guardian angel"	0.0589727
"stock certificate"	0.0588839
postage	0.0588667
"stage name"	0.0587588
barbell	0.0580927
comeuppance	0.0579214
"three pitchers"	0.0576685
wattage	0.057533
postcard	0.0573799
readout	0.0572676
jawbone	0.0571834
"bill of health"	0.056876
"emergency exit"	0.0565263
"place mat"	0.056433
"seal of approval"	0.0563615
"disability payment"	0.0562305
"bank note"	0.0562291
hologram	0.0559121
"shuttle bus"	0.0556266
invoice	0.0551955
"admission fee"	0.0550494
suitcase	0.0547466
"written language"	0.0543673
"birthday card"	0.0543518
"life vest"	0.0542101
badge	0.0541053
freebies	0.0540987
"golf game"	0.053938
"Dave Martinez"	0.0538467
"absentee ballot"	0.0538092
"television revenue"	0.0537084
ornithologist	0.0532712
retraction	0.053206
culpa	0.0528714
horoscope	0.0528608
"order book"	0.0528524
ambassadorship	0.0528347
"plane ticket"	0.052827
"identification number"	0.0527747
statuette	0.0522769
"sheet of paper"	0.0521419
playlist	0.0519464
Rolodex	0.0519041
diploma	0.0518501
bathrobe	0.0517592
"family doctor"	0.0517007
co-payment	0.0516938
residual	0.0516292
B.A	0.0515139
pager	0.0514359
"name and address"	0.0513671
questionnaire	0.0512588
"sheet music"	0.0509402
IOU	0.0506199
"telephone bill"	0.0505243
racquet	0.0504256
"test data"	0.0504205
"candy bar"	0.0503247
photocopier	0.0503155
career-best	0.0502723
booklet	0.0502428
navel	0.0502285
"credit history"	0.0501621
"official document"	0.0501618
rosary	0.050065
"table of contents"	0.0499846
"street address"	0.0499495
summons	0.0499352
latte	0.0495603
technicals	0.0493735
"progress report"	0.04935
calculator	0.0492641
"pen pal"	0.0491482
"greeting card"	0.049134
licence	0.0490344
"blue ribbon"	0.048979
"phone bill"	0.0489328
"top billing"	0.0488796
"income tax return"	0.0488324
"secondary education"	0.0486689
"Beanie Babies"	0.0485734
vasectomy	0.048445
"bar code"	0.0482243
"exercise equipment"	0.0482162
"shopping bag"	0.0481961
"margin call"	0.0481722
"all clear"	0.0480925
"key ring"	0.0480206
"club membership"	0.0479767
schoolwork	0.0479585
"Jeep Cherokee"	0.0479561
debit	0.0477367
"three sacks"	0.0476758
"sweet tooth"	0.047417
"line of work"	0.0473649
"deposit box"	0.0472442
firstborn	0.0472133
vagina	0.0472045
"data system"	0.0472014
"air bubble"	0.0471367
freebie	0.0471337
"tote bag"	0.0469729
"fellow traveler"	0.0469306
worksheet	0.0468523
"account statement"	0.0467956
derriere	0.0467444
"tax liability"	0.0465891
"natural ability"	0.0465528
"stay of execution"	0.0465321
"ransom money"	0.0464858
bracelet	0.0464049
"book bag"	0.0463912
"battle plan"	0.0463529
"sense of direction"	0.0462299
booty	0.0462002
mitzvah	0.0461799
"baseball glove"	0.0461257
"leisure time"	0.0460968
triceps	0.0460907
"sex appeal"	0.0460582
molar	0.0460553
"gross income"	0.0459732
"No. @s"	0.0459542
password	0.0457229
briefcase	0.045715
dispensation	0.0456877
"iceberg lettuce"	0.0456864
"blood sugar"	0.0455791
tutoring	0.0454943
"phone book"	0.0454491
send-off	0.0454166
"golf club"	0.0453913
"trash can"	0.0453225
"brokerage account"	0.0452876
"filing cabinet"	0.045267
galley	0.0452296
notepad	0.0452049
"Christmas present"	0.0451192
saber	0.0450771
"videocassette recorder"	0.0450585
syringe	0.0449363
Kansan	0.0449252
toothbrush	0.0447484
"traveler's check"	0.044745
))
("boarding school" (desc 11286.5) (sims
"prep school"	0.182744
"private school"	0.162902
"preparatory school"	0.12859
seminary	0.113673
"primary school"	0.111522
"secondary school"	0.109543
"Catholic school"	0.107066
College	0.106398
"elementary school"	0.104447
"nursery school"	0.102968
"summer camp"	0.100394
"public school"	0.0992626
"middle school"	0.0959432
"military academy"	0.0955686
"technical school"	0.0946132
"vocational school"	0.0935116
"parochial school"	0.0932627
"religious school"	0.0925
"high school"	0.0922228
"foster home"	0.08888
academy	0.0886973
"junior high school"	0.088586
yeshiva	0.0858369
orphanage	0.085713
"grammar school"	0.0854143
"community college"	0.0820049
university	0.0786597
"art school"	0.0772481
"country house"	0.0758408
"grade school"	0.0747321
"training school"	0.0739691
kindergarten	0.0735483
Convent	0.0717169
"junior college"	0.0716569
preschool	0.0715202
"senior high school"	0.0713247
"day care center"	0.0700884
"law school"	0.0692903
clinic	0.0691647
"Cambridge University"	0.068964
conservatory	0.0681842
"business school"	0.0681131
Oxford	0.0666102
"nursing home"	0.0656422
K-@@	0.0654118
Eton	0.0648829
"psychiatric hospital"	0.0648584
Juilliard	0.0644924
"day care"	0.0638138
"medical school"	0.0633235
"Oxford University"	0.0627118
Yale	0.0623188
"Howard University"	0.0623115
dormitory	0.0605352
ranch	0.0598382
"Qinghua University"	0.0595725
schooling	0.0592847
"Brown University"	0.0587651
"graduate school"	0.058625
"Yale university"	0.0585701
"religious ceremony"	0.0583198
"City College"	0.0564733
Harvard	0.0556362
hostel	0.0555793
"Beijing University"	0.0553049
"day camp"	0.0551075
"mental hospital"	0.0548099
"community center"	0.054411
classroom	0.0543682
"Williams College"	0.0543169
"medical center"	0.05402
"Dartmouth College"	0.0531261
polytechnic	0.0528919
"Stanford University"	0.0528098
"Columbine High"	0.0520255
"boarding house"	0.0520077
"school of music"	0.0519691
"Nankai University"	0.0518797
Monastery	0.0513689
upbringing	0.0513163
NYU	0.051162
charity	0.0509541
"educational institution"	0.0508826
resort	0.0508825
campsite	0.050589
Brandeis	0.0505046
"mental institution"	0.0504898
"house of worship"	0.0504064
townhouse	0.0503284
"small town"	0.05024
"higher education"	0.0501925
"Juilliard School"	0.0500689
"fraternity house"	0.0500592
"eighth grade"	0.0500545
nursery	0.0500099
chalet	0.04997
"music school"	0.049878
"air force academy"	0.049822
"military unit"	0.0494139
"Harvard Business School"	0.0493572
"B&AMP;B"	0.0490464
gym	0.0489978
synagogue	0.0488657
"prison camp"	0.0488553
clergyman	0.0488544
"University of Zimbabwe"	0.0488538
"school system"	0.0486981
"University of Mississippi"	0.0485211
"Georgetown University"	0.0484353
"research center"	0.0484195
inn	0.0482765
estate	0.0481694
"junior high"	0.0481671
mansion	0.048126
"concentration camp"	0.0479189
bookstore	0.047751
"World Food Summit"	0.0476097
"Trinity College"	0.0476085
"P.S @@@"	0.0475333
penitentiary	0.0474245
"special education"	0.0473332
MIT	0.0472741
"sixth grade"	0.0472551
Cambridge	0.0470899
"Heritage High School"	0.0469707
cloister	0.0468773
YMCA	0.0467595
"school district"	0.0466746
"Brigham Young University"	0.0466557
theology	0.0466343
dorm	0.0465204
"work camp"	0.0464139
"prayer service"	0.046405
"Sunday school"	0.0463675
"liberal arts"	0.0463446
"family doctor"	0.0463285
parish	0.0462708
"Seton Hall University"	0.0462469
"polling place"	0.0462291
farmhouse	0.0461315
commune	0.0459782
missionary	0.0458301
"University of Massachusetts"	0.0458225
incinerator	0.045782
"Boston University"	0.0457222
"Massachusetts Institute of Technology"	0.0456826
"publishing house"	0.0455887
"common law"	0.0455845
"internment camp"	0.0455708
"University of North Carolina"	0.044966
"University of Georgia"	0.0447402
UMass	0.044548
"electric company"	0.0445392
"driving school"	0.0444198
lab	0.0443954
"specialty store"	0.0442888
"law practice"	0.044287
"University of Southern California"	0.0442352
"University of Texas"	0.0441448
"dairy farm"	0.0440751
"military hospital"	0.04404
"language school"	0.0439942
congregation	0.0439632
"conference center"	0.0438434
"Michigan State University"	0.0437748
"Fudan University"	0.0437646
"New York University"	0.0436959
Princeton	0.0436846
"Wesleyan University"	0.0436601
cottage	0.0435562
"University of Kansas"	0.0435262
"art gallery"	0.0434619
"Harvard College"	0.0434473
"Syracuse University"	0.0433632
hospice	0.0432971
pub	0.0431996
"George Washington University"	0.0431746
"Duke University"	0.0431354
"Harvard University"	0.0431307
"opera company"	0.0430755
mill	0.0430703
enclave	0.0430433
"medical institution"	0.0430394
"University of Utah"	0.0430374
highschool	0.0430034
eighth-grade	0.0429753
"Central High School"	0.0427967
jurist	0.0427541
theologian	0.0426917
"Columbia University"	0.0426276
crematorium	0.0425983
bed-and-breakfast	0.0425432
"religious order"	0.0425386
Barrio	0.0425028
"State University of New York"	0.0424725
liturgy	0.0424588
"sales outlet"	0.0424571
"one school"	0.0424079
"American University"	0.0423571
"sea captain"	0.0422981
))
(Boardman (desc 1428.26) (sims
Olano	0.187994
"El Guerrouj"	0.159601
Seizinger	0.152676
Loroupe	0.147441
"Chris Boardman"	0.143045
Jalabert	0.140707
Millar	0.134572
Zuelle	0.133279
Doohan	0.132059
Irvan	0.128366
Sautin	0.126833
Longo	0.126439
Heyns	0.124988
Sorensen	0.122484
Pippig	0.120494
Hickman	0.118495
Ottey	0.11545
Meissnitzer	0.113827
Devers	0.11231
Rossi	0.110391
Szabo	0.110233
Boldon	0.109539
Roba	0.108681
Adkins	0.107402
"Li Jiajun"	0.105882
Knievel	0.10472
Pantani	0.104716
Makinen	0.104634
Lockwood	0.103841
"Sonia O'Sullivan"	0.103751
Kjus	0.103236
Tomba	0.103066
Bruguera	0.102539
Luyendyk	0.102219
Sainz	0.101707
Cipollini	0.100995
Dragila	0.0999235
"Paul Tergat"	0.0987452
Popov	0.0985935
Godina	0.0984863
Gustafsson	0.09843
Ullrich	0.0983829
"Lasse Kjus"	0.0981429
"Kjetil Andre Aamodt"	0.0979976
Molinari	0.0973877
Klim	0.0972711
Thorpe	0.0969445
Kipketer	0.0968021
"Tommi Makinen"	0.0966945
Maier	0.0966268
McCormack	0.0962967
Gebrselassie	0.0962164
Jayasinghe	0.0950906
Vasser	0.0950628
Zabel	0.0948482
Laperriere	0.0942205
Biffle	0.0940971
Hagen	0.0930065
Wiberg	0.0929758
Xiong	0.0927648
Butyrskaya	0.0927633
"Francesco Casagrande"	0.0923533
Zanardi	0.0923476
"Johan Museeuw"	0.0923336
Coulthard	0.0922691
Goetschl	0.091825
Villeneuve	0.0918129
Virenque	0.091581
Fredericks	0.0915093
"Laurent Jalabert"	0.0914275
Krayzelburg	0.0910959
LeBlanc	0.0905683
Arron	0.0897207
"Elena Berezhnaya"	0.0896224
"Brooke Bennett"	0.0895717
"Li Xuemei"	0.0889319
Abram	0.0886404
Waltrip	0.0882084
Kasparov	0.0881608
Bragg	0.087855
McRae	0.0869969
"Stuart O'Grady"	0.0869646
"Penny Heyns"	0.086694
Guerrouj	0.0862324
Oliveira	0.0860901
Carney	0.0859384
Rowley	0.0859046
Suarez	0.0856185
"Liu Limin"	0.0854124
"Miguel Indurain"	0.0853161
Moreau	0.0844249
Kurtz	0.0841583
Samuelson	0.0840045
Izetbegovic	0.08384
Guerin	0.0836706
Karlsson	0.0834582
"Gabriela Szabo"	0.0831791
Tanaka	0.0829442
Tanui	0.0828156
"Regina Jacobs"	0.0827506
DeFrantz	0.0824844
Morceli	0.082086
Pape	0.0820543
"Gianni Romme"	0.0817238
Turgeon	0.0816926
"Earnhardt Jr."	0.0814977
Julich	0.0814025
Pincay	0.081149
"Fatuma Roba"	0.0811366
"Rintje Ritsma"	0.08077
"Pernilla Wiberg"	0.0807531
Bartoli	0.0805303
Meston	0.0804158
Jaffe	0.0803175
Moscoso	0.0801098
bock	0.0799375
Rahal	0.0798633
Brazile	0.0795597
Redgrave	0.0793818
Huber	0.0793548
Arthurs	0.0791866
Briscoe	0.079064
"Mario Cipollini"	0.0788318
Herta	0.0788196
"Lance Armstrong"	0.0788029
Kenseth	0.0787489
Gilman	0.0786025
Hakkinen	0.0784363
Laver	0.0783659
Appleby	0.0783518
Reiter	0.0782427
Godfrey	0.0778593
"Lu Yufu"	0.0778433
Brack	0.0777479
"Marco Pantani"	0.0773091
Drexler	0.0771374
Nilsson	0.0770034
Sheedy	0.0768893
O'Sullivan	0.076803
Deneuve	0.0768029
"Bernard Barmasai"	0.0766735
"Claudia Pechstein"	0.0766155
"Hilde Gerg"	0.0764401
O'Hara	0.0764331
"Abraham Olano"	0.076245
Zuckerman	0.0761714
Vasquez	0.0761384
"Richard Virenque"	0.0759581
"Colin McRae"	0.0759404
Britton	0.0759404
Rosset	0.0759197
LeFave	0.0758018
Pearce	0.0754649
Khannouchi	0.0753155
Fiorina	0.0750804
Joyner-Kersee	0.0750124
Mantilla	0.0749618
Unser	0.0747852
Fordice	0.0747322
Mckee	0.0746913
"Renate Goetschl"	0.0744527
Costa	0.0744494
Katsav	0.0740719
Berenson	0.073935
Montoya	0.0738533
Carmichael	0.0737769
swain	0.0737293
Jager	0.0737181
Yagudin	0.0736726
"Sang Lan"	0.0735813
"Claudia Poll"	0.0732773
"Frenchman Laurent Jalabert"	0.0730732
LeClair	0.0729621
Dench	0.0729506
"Richard Burns"	0.0727865
Kurth	0.0727663
Ivey	0.0726638
Kern	0.0724819
Shulman	0.0723532
Franz	0.0721715
Recchi	0.0721678
Sang	0.0716303
Graziani	0.0716283
Falco	0.071454
Bisek	0.0713177
Cleary	0.0711832
"Alex Zulle"	0.071174
Meng	0.0707894
Kuchar	0.0707078
Menchu	0.0706449
Atwood	0.070498
"Tom Steels"	0.0704724
Chevenement	0.0702704
Scruggs	0.0702626
"Griffith Joyner"	0.0701698
Jimenez	0.0701309
Mayer	0.0700874
Cohn	0.0700368
"Irina Privalova"	0.0698202
"Gunda Niemann-Stirnemann"	0.0696331
))
(boardroom (desc 9698.26) (sims
"conference room"	0.0836615
cafeteria	0.0773521
"living room"	0.0762419
courtroom	0.0714918
backroom	0.0682082
"dining room"	0.0632869
Behind-the-scenes	0.0627819
classroom	0.0625508
hallway	0.0622585
high-stakes	0.0585207
suite	0.0581464
kitchen	0.0579724
"reception room"	0.0579582
foyer	0.0562652
parlor	0.0525777
gymnasiums	0.0514673
lounge	0.0513171
ballroom	0.0511783
bedroom	0.0511266
"family room"	0.0498626
basement	0.0496793
"back room"	0.049058
bathroom	0.0487711
pantry	0.0487094
"locker room"	0.0486725
auditorium	0.04827
"waiting room"	0.0479453
"East Room"	0.047832
den	0.0473025
lunchroom	0.0469798
"master bedroom"	0.0467167
"dressing room"	0.0466456
"recreation room"	0.0461971
dorm	0.046113
dormitory	0.0456325
cubicle	0.0442609
"Oval Office"	0.0441365
"coffee shop"	0.0439376
garage	0.0432045
closet	0.0430105
"mess hall"	0.0428523
"drawing room"	0.042816
"shower stall"	0.0426691
"hotel room"	0.0426447
"dining area"	0.0424372
Arab-Israeli	0.042217
"dorm room"	0.0415675
"tea house"	0.04116
gymnasium	0.0411417
atrium	0.0409049
"Lincoln Bedroom"	0.0405733
"storage room"	0.0405227
clubhouse	0.0403331
courtyard	0.0401584
"closed session"	0.0401548
three-hour	0.040111
))
(boards (desc 7023.77) (sims
switchboard	0.052904
postings	0.0495715
"bulletin board"	0.0433266
calculator	0.042205
))
(boardwalk (desc 9447.77) (sims
walkway	0.0875348
beach	0.085932
boulevard	0.0790381
pier	0.0790167
sidewalk	0.0716257
"main street"	0.0672179
Esplanade	0.0650676
promenade	0.0633266
waterfront	0.0626586
"amusement park"	0.0620927
causeway	0.0614391
"Fifth Avenue"	0.0613129
deck	0.0587607
"railroad track"	0.0583863
stilt	0.0582712
"roller coaster"	0.0579202
campgrounds	0.0576373
Marina	0.0570746
"stone wall"	0.0550434
thoroughfare	0.0548967
jetty	0.0545838
avenue	0.0524284
shoreline	0.0523773
"red carpet"	0.0520528
riverfront	0.0518798
freeway	0.0516125
catwalk	0.051612
mall	0.0515972
tightrope	0.051515
"Taj Mahal"	0.0511806
dock	0.051146
"dirt track"	0.0506186
wharf	0.0498247
hillside	0.0497817
shore	0.0494498
"National Mall"	0.0493695
"theme park"	0.0490763
beachfront	0.0483253
bungalow	0.0481199
plaza	0.0479994
"Space Needle"	0.0479123
"shopping center"	0.0472979
"pitcher's mound"	0.0472634
"ring road"	0.0472408
runway	0.0469233
veranda	0.046749
roadway	0.0467304
levee	0.0467058
"dance floor"	0.0465225
pathway	0.0465179
"golf course"	0.0463433
dune	0.046262
"Interstate @"	0.0459593
"hind leg"	0.045524
lakefront	0.0454232
Starwood	0.0453675
"cable car"	0.0452236
Stairway	0.0449817
"subway station"	0.0448456
"Disney World"	0.0447402
"Hollywood Boulevard"	0.0446911
"Demilitarized Zone"	0.0446293
pavement	0.0444071
condominium	0.044326
"Route @@@"	0.0441468
skyscraper	0.0439018
"Treasure Island"	0.0438642
"indian reservation"	0.0437793
cottage	0.0436095
porch	0.0430798
condo	0.0428946
"street corner"	0.0428584
"resort hotel"	0.0425416
terrace	0.0425025
"Park Avenue"	0.0421846
"Sunset Strip"	0.0420856
"Madison Avenue"	0.0420798
"Appalachian Trail"	0.0419352
lawn	0.0417346
passageway	0.0414494
"Central Park West"	0.0414375
patio	0.0414112
"business district"	0.0413568
knoll	0.0412141
alleyway	0.041192
Lighthouse	0.0411724
playground	0.0409673
embankment	0.0408888
"pedestrian bridge"	0.0407001
Parkway	0.0405373
shack	0.0405237
tunnel	0.040257
"tennis court"	0.0402293
"east side"	0.0401957
coastline	0.0401495
footpath	0.0400559
))
(boast (desc 9000.29) (sims
drivel	0.0526123
bluster	0.0481248
prediction	0.0458548
assertion	0.0456755
cockiness	0.0439999
"choice of words"	0.0439605
chatter	0.0436249
baloney	0.0429717
gossip	0.0426847
pronouncement	0.0423089
generalization	0.0417028
chitchat	0.0409963
banter	0.0408536
nonsense	0.0405983
))
(boat (desc 141900) (sims
ship	0.251346
vessel	0.234615
yacht	0.193232
"fishing boat"	0.184411
ferry	0.178394
truck	0.176503
plane	0.175861
bus	0.172099
helicopter	0.169798
car	0.162739
barge	0.16143
sailboat	0.156469
vehicle	0.154807
submarine	0.153548
aircraft	0.150617
airplane	0.15006
train	0.149375
freighter	0.148442
tanker	0.146068
canoe	0.138684
van	0.136766
"cargo ship"	0.133002
trawler	0.131224
speedboat	0.13078
warship	0.129935
raft	0.126718
craft	0.125497
"small boat"	0.121126
"patrol boat"	0.117475
"cruise ship"	0.116754
taxi	0.113605
Motorcycle	0.113081
jeep	0.110461
jet	0.107411
motorboat	0.107124
Cruiser	0.106932
bicycle	0.106378
tank	0.10602
tractor	0.105669
trailer	0.105076
"pickup truck"	0.103737
bike	0.101794
"oil tanker"	0.101561
frigate	0.100777
limousine	0.100288
Fishermen	0.09838
tugboat	0.0980768
kayak	0.0977306
"school bus"	0.0973981
wagon	0.0964441
dinghy	0.0949144
Ambulance	0.0947057
gunboat	0.0940896
lorry	0.0926154
automobile	0.0920459
catamaran	0.0901807
crew	0.0887672
schooner	0.0881149
rig	0.0867444
cart	0.086242
horse	0.0852302
destroyer	0.0852158
cab	0.0846872
"tractor trailer"	0.0845505
Kursk	0.0841826
airliner	0.0833046
pickup	0.0832804
sub	0.0832143
container	0.082874
house	0.0827941
shuttle	0.0811871
flight	0.0807329
spacecraft	0.0798546
building	0.0792519
equipment	0.0791991
minibus	0.0788722
passenger	0.078602
machine	0.0778619
carriage	0.077474
water	0.0771487
"motor vehicle"	0.0771447
fleet	0.0764732
jetliner	0.0764054
sea	0.0763878
missile	0.0755912
dock	0.0755386
balloon	0.0750944
Sedan	0.074894
bomber	0.0747624
snowmobile	0.0746689
convoy	0.0746643
trolley	0.0745223
"mobile home"	0.0744436
"aircraft carrier"	0.0742864
motorbike	0.0738828
locomotive	0.0738107
"police car"	0.0737524
diver	0.073168
road	0.0730688
bridge	0.0729796
fishing	0.0727193
elevator	0.0726459
engine	0.0721851
cruise	0.0721253
sailor	0.0716263
rail	0.0713091
minivan	0.071236
"freight train"	0.0708834
tent	0.0708807
"passenger train"	0.0706518
"patrol car"	0.0705996
sled	0.0705836
tree	0.0704783
"personnel carrier"	0.0701597
Limo	0.0691049
Satellite	0.0690613
team	0.068849
box	0.068721
ride	0.068319
bed	0.0683118
cabin	0.0681993
camper	0.0677481
"military vehicle"	0.0671815
gun	0.0671026
apartment	0.0666397
soldier	0.0664878
pier	0.0664836
home	0.0662806
"fire truck"	0.0661863
chair	0.0660222
driver	0.0659658
Crane	0.0659336
warplanes	0.0659313
Computer	0.0659276
"crew member"	0.0658319
camera	0.065799
station	0.0657565
rocket	0.0654943
street	0.0654468
cutter	0.0649729
route	0.064694
chopper	0.0643589
deck	0.0643559
hotel	0.0642322
lake	0.064106
tug	0.0640045
"golf cart"	0.0636953
auto	0.0635454
furniture	0.063455
patrol	0.0634043
seat	0.0633348
fighter	0.0632217
site	0.0629265
dog	0.0627453
roof	0.0627323
float	0.0627106
ball	0.0626523
land	0.0624827
wheelchair	0.0623467
Warehouse	0.0622205
people	0.0621259
cargo	0.0620626
air	0.061908
Tower	0.0618767
gondola	0.0618595
shop	0.0617671
facility	0.0617504
boater	0.0617099
scooter	0.0616884
tourist	0.0616031
troop	0.0614364
bomb	0.0613876
island	0.0612962
ocean	0.0612239
room	0.0611829
subway	0.0611462
capsule	0.0610228
field	0.0610051
line	0.0607617
factory	0.0606187
tire	0.0606146
weapon	0.0604841
pipe	0.0602831
fish	0.0601464
bulldozer	0.0600385
"race car"	0.0600029
trip	0.0599187
object	0.0598907
"station wagon"	0.059682
garage	0.0595798
bag	0.0595439
beach	0.0595347
ski	0.059493
farm	0.0593484
platform	0.0592825
bird	0.0590239
plant	0.0589671
rescuer	0.0589001
river	0.0586307
Mercedes	0.0586029
))
("boat race" (desc 1736.25) (sims
hotspots	0.0872471
"horse race"	0.0857939
"spelling bee"	0.0856778
"religious ceremony"	0.0823332
"car race"	0.0804602
"prayer meeting"	0.0801838
boating	0.073423
"track event"	0.071465
powwow	0.0710891
"military drill"	0.0704064
"garden party"	0.070202
"art exhibition"	0.0693635
get-togethers	0.0688092
"yacht race"	0.0687013
teach-in	0.0682249
"Boston Marathon"	0.0672064
"wedding ceremony"	0.0671607
totem	0.0667594
"sea lane"	0.0639673
"B&AMP;B"	0.0627479
regatta	0.0624694
"protest march"	0.0622238
creche	0.0619685
"victory celebration"	0.0605334
"open house"	0.0603261
Slayer	0.0602361
"public lecture"	0.0602348
"dog show"	0.0601274
cookout	0.0596031
craftspeople	0.0592611
"ski race"	0.0591304
Stamps	0.058599
"fish fry"	0.0585841
"theatrical performance"	0.0585066
"World Food Summit"	0.0584233
mini-camp	0.057637
"puppet show"	0.0568927
rodeo	0.0567971
"patrol ship"	0.0563689
"three-day event"	0.0558548
"roller skate"	0.0551227
Oktoberfest	0.0543266
"London Marathon"	0.0543124
"jazz festival"	0.0536046
jamboree	0.0511976
emporium	0.0511717
accoutrement	0.0510028
"military band"	0.0509674
"hockey game"	0.0500823
"popularity contest"	0.0495073
bullfight	0.0493948
"religious service"	0.0489337
telethon	0.0488241
"Chinese New Year"	0.0487575
soiree	0.048451
"church service"	0.0480765
"boxing match"	0.0474062
raffle	0.0471292
"International Conference"	0.0471114
"race car"	0.0470725
manoeuvre	0.0470022
smooch	0.0467803
"sales outlet"	0.0466455
"social event"	0.0463704
"silver dollar"	0.046226
"basketball season"	0.0461926
"polar bear"	0.0459483
"fishing rod"	0.0459144
"rock concert"	0.0458384
"fire drill"	0.0457775
parley	0.0457342
"summer camp"	0.0457243
instructions	0.0456388
confab	0.0453763
yachtsman	0.0450651
"Home Run Derby"	0.0449954
"jam session"	0.0449637
"primary election"	0.0449333
sagebrush	0.0449068
"benefit concert"	0.0447722
"hunting ground"	0.0444091
"warm front"	0.0443707
rafts	0.0442905
"monetary fund"	0.044269
"World Congress"	0.0440688
"relay race"	0.0440073
"X Games"	0.0438993
"Trade Fair"	0.0437063
"field trial"	0.0435703
riverbed	0.0433712
"rest day"	0.0431875
"day game"	0.0428072
tussle	0.0427876
"container ship"	0.0426834
"motor scooter"	0.0426503
conclave	0.0426005
"Bull Run"	0.0425933
by-elections	0.0425903
Cadillacs	0.042361
"budget debate"	0.0422534
"Ministerial Conference"	0.0422511
absolutes	0.042173
"musical performance"	0.0421349
"development organization"	0.0420833
"Chinese Lunar New Year"	0.0420095
"wind tunnel"	0.0419394
roadshow	0.0419157
crossbow	0.0418535
skydiver	0.0418252
Ellipse	0.041808
bodybuilding	0.0417552
"bicycle race"	0.0417533
"fire truck"	0.0416859
merchandiser	0.0416834
"wedding reception"	0.041588
"nuclear family"	0.0415811
recital	0.0415184
"vacation spot"	0.0414916
fundraisers	0.0413481
brinksmanship	0.0412576
"conference center"	0.0412318
"Ferris wheel"	0.0411059
jaunt	0.0409997
by-election	0.0406415
"health check"	0.0405835
"work stoppage"	0.0405215
superhighway	0.0404323
tie-in	0.0403598
"International Congress"	0.0402489
"fund-raising drive"	0.0402168
postseasons	0.0400508
reenactment	0.0400245
))
(boater (desc 7203.88) (sims
hiker	0.185522
angler	0.129492
canoeist	0.124927
Fishermen	0.123522
camper	0.12333
jogger	0.122838
bikers	0.111315
backpackers	0.108449
picnicker	0.108433
birder	0.102657
sailor	0.100295
"rock climber"	0.0998089
"scuba diver"	0.0997963
skier	0.0965513
diver	0.0964976
logger	0.09622
bicyclist	0.0960315
snowmobilers	0.0921933
motorist	0.0919769
beachgoers	0.0900846
"bird watcher"	0.0900598
kayakers	0.0899926
skydiver	0.0888453
"mountain climber"	0.0848992
Hunter	0.0830623
conservationist	0.0827704
fisherman	0.081705
cyclist	0.0786902
surfer	0.0786876
genealogist	0.0785805
climber	0.0782315
sportsmen	0.0770179
lifeguard	0.0747465
bird-watchers	0.0746861
"fishing boat"	0.0734376
woodworker	0.0715855
searcher	0.0714832
holidaymaker	0.0708484
sunbather	0.0703479
commuter	0.0698118
lobstermen	0.0694801
townsfolk	0.0691906
traveler	0.0691561
reveler	0.0676516
gardener	0.0674591
airmen	0.0673609
miner	0.0661952
"crew member"	0.0660311
enthusiast	0.0658803
swimmer	0.0655514
firefighters	0.0649215
wellwisher	0.0648722
snowboarders	0.0647277
crewmen	0.0646711
firemen	0.0646562
boating	0.0646476
trucker	0.0642747
naturalist	0.0641923
duffer	0.0639426
sightseer	0.0638733
balloonist	0.0638154
"bus driver"	0.0633819
motorcyclists	0.0633592
"church member"	0.0630534
concertgoers	0.0628535
onlooker	0.0627503
cabby	0.0623433
villager	0.0621094
vacationer	0.0619917
freighter	0.061877
"pleasure boat"	0.0615901
rescuer	0.0615739
parachutist	0.0608447
yachtsman	0.0607744
aviator	0.0607071
environmentalist	0.059881
pedestrian	0.0595043
crewman	0.058527
bettor	0.0582205
shopper	0.0581278
equestrian	0.0580619
scalpers	0.0579565
Haitian	0.0576944
well-wisher	0.0574902
Washingtonian	0.0574816
kayaker	0.0568185
"patrol boat"	0.0567179
"truck driver"	0.0566243
golfer	0.0564966
Granik	0.0561936
exerciser	0.0560187
RVs	0.0556454
Ghanaians	0.0555868
passers-by	0.0550934
conventioneer	0.0548127
skiiers	0.0545892
sailboat	0.0545434
crewmembers	0.0544173
stargazer	0.0543912
gawkers	0.0543371
"fire fighter"	0.0541745
bather	0.0541203
horticulturist	0.0536906
barge	0.0536182
seamen	0.0529529
spectator	0.0527946
mountaineer	0.0527161
theatergoer	0.0527091
"property owner"	0.0523218
outfitter	0.0520904
Beijingers	0.0520607
"cargo ship"	0.051997
marcher	0.0519833
homeowner	0.0518
racer	0.051278
hotelier	0.0512381
houseguest	0.0511745
motorboat	0.0511222
moviegoer	0.0510536
"flight attendant"	0.051001
craftsmen	0.0508324
Gi	0.0507742
Autissier	0.0507648
motorcyclist	0.0507526
shopkeeper	0.0503627
"Kosovo Serbs"	0.0501445
youngster	0.0501188
"police boat"	0.049938
oilmen	0.0497132
passersby	0.0495533
partygoer	0.0494479
Parisian	0.0493362
"day laborer"	0.0493049
skiff	0.0492173
migrant	0.049156
"small farmer"	0.049133
"fellow traveler"	0.0488356
crewmates	0.0488326
urbanites	0.0487178
outdoorsman	0.0486083
Irishmen	0.0485965
"college student"	0.0484904
Taiwanese	0.0484864
"law officer"	0.0484702
congregants	0.0483219
worshipper	0.0482895
submariner	0.0482608
illegals	0.0479929
"ground crew"	0.0479023
schoolchildren	0.047704
telemarketers	0.0476802
Ecuadoreans	0.0474974
autoworkers	0.0470705
celebs	0.0469477
parishioner	0.0469358
hemophiliac	0.0465543
"flight engineer"	0.0465409
herdsmen	0.0464133
yacht	0.0462993
gymnast	0.0461774
mourner	0.0461612
"cargo vessel"	0.0461582
"fire truck"	0.0460838
landscapers	0.0459728
"North Koreans"	0.0459277
astronaut	0.0458632
churchgoer	0.0458096
upperclassmen	0.0458009
cameramen	0.0456063
"university student"	0.0455143
"New Jerseyans"	0.0454544
Muscovite	0.0453948
"business traveler"	0.0453753
patron	0.045333
enactors	0.0452479
skateboarder	0.0450625
gamers	0.0447878
tractor-trailers	0.0447602
"loose end"	0.04475
paddler	0.0447245
evacuee	0.0445668
photographer	0.0445557
"music lover"	0.0445104
Rafter	0.0444916
landowner	0.0444631
taster	0.0443714
protestor	0.0443653
straggler	0.0443181
gambler	0.0442238
snowmobile	0.0441805
adoptees	0.0441797
Missourian	0.0441649
"North Carolinian"	0.04411
flier	0.0439779
Cruiser	0.0439667
goer	0.0439387
Jamaican	0.0439229
stewardess	0.0438917
"jazz band"	0.0438382
Mozambican	0.0438359
))
(boating (desc 5674.98) (sims
snorkeling	0.209521
"horseback riding"	0.201851
hiking	0.190762
"scuba diving"	0.176679
"mountain climbing"	0.156471
fishing	0.152338
bicycling	0.151787
"rock climbing"	0.147675
skiing	0.132073
camping	0.118361
golfing	0.109879
cycling	0.105932
archery	0.099785
mountaineering	0.0993159
hunting	0.0974094
diving	0.0935944
"water sport"	0.0921247
rowing	0.0920984
swimming	0.092063
golf	0.0885199
surfing	0.0883072
"table tennis"	0.0880572
sightseeing	0.0845994
weightlifting	0.0840438
Yachting	0.0818269
Gymnastics	0.0816495
Skating	0.0815778
triathlon	0.0811046
"horse racing"	0.0803469
"ballroom dancing"	0.0799302
skateboarding	0.0792853
tennis	0.0779555
Bowling	0.0779485
sledding	0.0765629
jogging	0.0761213
angling	0.0753771
"boat race"	0.073423
fly-fishing	0.0707644
navigation	0.0702955
"track and field"	0.0691597
ranching	0.0685848
volleyball	0.0675838
bodybuilding	0.067547
aquaculture	0.0666693
"water polo"	0.0665119
equestrian	0.0664347
dining	0.0655669
karate	0.0655651
"ice skating"	0.0651446
recreation	0.0650296
shopping	0.0650261
boater	0.0646476
"figure skating"	0.0646235
shipping	0.0644616
gardening	0.0641175
wrestling	0.0625744
aviation	0.0622921
boxing	0.0616161
judo	0.0613543
ski	0.0606458
sailing	0.0605071
mining	0.0597819
taekwondo	0.0596193
badminton	0.0590061
logging	0.0589757
"amusement park"	0.0585122
motoring	0.0559861
handball	0.0557275
aquiculture	0.0548989
Gaming	0.0546874
riding	0.0546181
canoe	0.0535774
grazing	0.0535558
"target practice"	0.0535314
"pleasure boat"	0.0534991
boarding	0.0534508
gambling	0.0527279
"field hockey"	0.0526024
riverboat	0.0525685
parachuting	0.0522865
"recreational facility"	0.0509055
excursion	0.0508991
kayak	0.0498867
fencing	0.0492781
"white water"	0.0492135
yoga	0.0489656
Wushu	0.0481864
snowmobile	0.0479995
bathing	0.0479203
drinking	0.0476507
Trucking	0.0473276
aerobics	0.0468229
chess	0.0464615
"picnic area"	0.0463722
powerboat	0.045949
karaoke	0.0459076
"cross country"	0.044985
bullfighting	0.0448793
pentathlon	0.0448582
outdoors	0.0445993
jumping	0.0444507
"motor vehicle"	0.0438913
takraw	0.0438684
"animal husbandry"	0.0438518
seafood	0.0437818
softball	0.0437217
trolley	0.0433941
breeding	0.0433132
moped	0.0433071
"oil tanker"	0.0432909
"ice hockey"	0.043156
"cable car"	0.042963
watercraft	0.0424932
woodworking	0.042258
irrigation	0.0421802
shellfish	0.04205
dinghy	0.0419586
forklift	0.0419118
diver	0.0418341
"health food"	0.0418126
steamboat	0.04181
surveying	0.0413534
ferryboat	0.0410401
Frisbee	0.0407182
carpentry	0.0405206
Motorsports	0.0405174
"small boat"	0.040377
"fox hunting"	0.0401791
dressage	0.040118
nightlife	0.0400037
))
(boatload (desc 4049.52) (sims
planeload	0.147872
trainload	0.131518
truckload	0.0931797
busload	0.0924002
planeloads	0.088432
"three tons"	0.0783996
influx	0.0730028
"full complement"	0.0721922
"about @@@ tons"	0.072159
oodles	0.0689447
consignment	0.0678915
scad	0.0662317
"break of serve"	0.0649595
"more than @@@ pounds"	0.0643461
carload	0.063837
"New Wave"	0.0604001
"four tons"	0.0594425
"more than @,@@@ pounds"	0.058904
fistful	0.0577993
batch	0.0573336
flotilla	0.0562871
"dead body"	0.0548251
"more than @,@@@ tons"	0.0545871
ton	0.0538918
"extra points"	0.0529909
shipload	0.0525248
wad	0.0525011
"city block"	0.0521797
"Hail Mary"	0.0520663
crewmembers	0.0516506
gob	0.0514812
"service break"	0.0509384
"Christopher Columbus"	0.0503447
"fire truck"	0.0502851
Dutchmen	0.0502781
"moving van"	0.0500086
deportee	0.0499517
pallet	0.0489502
"nuclear-powered submarine"	0.0484121
maltreatment	0.0480235
widget	0.0473024
slew	0.0467884
torrent	0.0466927
bushel	0.0461534
parachutist	0.0459806
"test-tube baby"	0.0457597
grandchild	0.0457274
gaggle	0.0456817
"six tons"	0.0455221
"about @@ tons"	0.045518
Haitian	0.0454602
"knockout punch"	0.0454165
convoy	0.0454096
"about @@@ pounds"	0.0452948
finds	0.044886
skydiver	0.0445633
"space walk"	0.0444703
"more than @@,@@@ tons"	0.0444526
"major-league team"	0.0441146
"base runner"	0.0441019
Twenty-three	0.0439316
"tidal wave"	0.04389
fifths	0.0436868
cache	0.0436569
spacewalks	0.0435627
kayaker	0.0433304
plethora	0.0432887
"pirate ship"	0.0432486
bevy	0.0431695
trove	0.0430428
B-@s	0.0430025
balloonist	0.0424846
"rising tide"	0.0423931
"Up to @ inches"	0.0418249
"about @@@,@@@ tons"	0.041434
"more than @@@ tons"	0.0412508
"five tons"	0.041001
wads	0.0409271
"electronic communication"	0.040874
"more than @@ inches"	0.0406413
horde	0.0401988
outflow	0.0400181
))
(BOB (desc 31398.5) (sims
tom	0.125445
Bobby	0.1225
Jim	0.121558
Robert	0.121203
John	0.119129
David	0.114674
mike	0.112043
Joe	0.111481
Dave	0.111335
Tim	0.11005
Phil	0.109508
Brian	0.108355
Larry	0.107847
Michael	0.107813
Jeff	0.105942
Jerry	0.103148
Steve	0.102056
Peter	0.100728
Richard	0.100622
Kevin	0.0960468
Frank	0.0954091
William	0.0953666
Gary	0.0943254
Chris	0.0941959
Paul	0.0933926
Walter	0.0911478
Ted	0.0904406
Eric	0.0899793
Rick	0.0897827
Steven	0.0878392
Gerald	0.0872724
Carl	0.0866349
Harry	0.0862962
Bruce	0.086261
James	0.0857184
Billy	0.0850978
Ben	0.0848077
Randy	0.0839226
Charles	0.0837326
Dan	0.0829628
George	0.0828752
Ralph	0.0824813
Jimmy	0.0824429
Marty	0.0822488
Danny	0.0822427
Alan	0.0811862
Sam	0.0811645
jack	0.0811279
Ron	0.081036
Wayne	0.0808448
Ken	0.080523
dick	0.0800292
Roger	0.0794988
Johnny	0.0793041
Charlie	0.0785295
Fred	0.0784303
Doug	0.0771777
don	0.0771038
Greg	0.076649
Barry	0.0755558
Andy	0.0752401
Patrick	0.0751544
Josh	0.0750094
Terry	0.0731501
nick	0.0729644
Scott	0.0723772
Jason	0.0723708
Jonathan	0.0723132
jay	0.0715994
Andrew	0.0714643
Susan	0.07141
Henry	0.0707424
Joseph	0.0702813
Daniel	0.0702508
Arthur	0.0697851
Reggie	0.0697029
ray	0.0695758
Sammy	0.0694593
Dennis	0.0690829
Ed	0.0688905
Andre	0.068858
Tony	0.0687205
Jamie	0.0680484
Kenny	0.068038
dad	0.0676931
Pete	0.0674413
Willie	0.0671332
Ronald	0.0667314
Jon	0.0665929
Nicholas	0.0665272
Jake	0.0664735
Tommy	0.0662377
Philip	0.0660919
Albert	0.0660226
Ernie	0.0659994
Joel	0.06596
Shawn	0.0657492
Anthony	0.0657384
Samuel	0.0656427
Edward	0.0655593
Todd	0.0654585
Harold	0.0649373
Matthew	0.0648647
matt	0.0643908
pat	0.0641106
Alex	0.0639879
Roy	0.0638881
mom	0.063881
Raymond	0.0638032
Brett	0.0631175
Stephen	0.0630767
Aaron	0.0629547
Craig	0.062159
Mel	0.062012
Karen	0.0618517
Payne	0.0616841
Neil	0.0615191
Jeb	0.0613808
Marc	0.0612412
Mary	0.0611811
Maurice	0.0610137
brother	0.0609918
Harvey	0.0609744
Mario	0.0609253
Barbara	0.0605625
husband	0.0602293
Leo	0.0602045
Manuel	0.0599237
Kurt	0.0596085
father	0.0592195
Alice	0.0582842
Antonio	0.0582279
Marcus	0.0580352
Max	0.0579803
Sean	0.0578879
Leon	0.0578456
Ian	0.0576668
Adam	0.0575485
Louis	0.0574901
son	0.0573165
Thomas	0.057312
Darryl	0.0572974
Derek	0.0572207
Juan	0.0570661
grandfather	0.0569736
martin	0.0568338
Lou	0.0568172
Christopher	0.0567747
Nancy	0.0567458
Brad	0.0566286
Allen	0.0565706
Evan	0.0564348
Byron	0.0560866
she	0.0560763
Hank	0.0560156
Linda	0.0560149
Carlos	0.056011
Burke	0.0559619
Allan	0.0559295
"George W."	0.055849
sandy	0.0558322
I	0.0557088
wife	0.0555418
Kraft	0.0554232
Ryan	0.0553606
Laura	0.0551167
Howard	0.055085
Jackie	0.0550734
Bernie	0.0548288
Keith	0.0546829
Arnold	0.0545273
Eddie	0.0544821
Joey	0.0542168
Jennifer	0.0540588
Wally	0.0538121
Nathan	0.0537542
Margaret	0.0534681
uncle	0.0531809
Donald	0.0530842
Amy	0.0528255
Debbie	0.0527424
dale	0.0527391
Leonard	0.0525202
Simon	0.0524497
Karl	0.0523906
Francis	0.0523056
Betty	0.0522288
Gabriel	0.0520735
Ramon	0.0520222
Liz	0.051874
Cindy	0.0517495
sister	0.051575
Ricky	0.051534
Rachel	0.0514904
Adrian	0.0513932
Malcolm	0.0513541
Vladimir	0.0512539
Pedro	0.0511931
Travis	0.0511815
Anne	0.050988
))
("Bob Arum" (desc 3157.75) (sims
"Don King"	0.221922
Arum	0.215988
"Main Events"	0.150941
promoter	0.100409
Ruehe	0.0928694
Goossen	0.0923404
Kushner	0.0915447
SFX	0.0836149
Wenger	0.0791392
"Julio Cesar Chavez"	0.0791176
Bustamante	0.0785426
Mosley	0.0750728
Verney	0.0737052
Geiger	0.0732608
Moonves	0.0730611
Advani	0.0729065
Difrancesco	0.0725886
Rossotti	0.0706479
"Scott Harshbarger"	0.0700239
Meissner	0.0698499
Joklik	0.0692363
Ebersol	0.0685562
Ganassi	0.066893
Trinidad	0.0668142
Molinari	0.0664791
Zuckerman	0.0659581
Ruggiero	0.0657367
Zarb	0.0654401
"Tom Welch"	0.0649834
"Vince McMahon"	0.0645175
"Jack Valenti"	0.0643591
"Felix Trinidad"	0.0639506
Shevardnadze	0.0634525
McCurry	0.0629751
Condit	0.0626219
Newhouse	0.0625775
"U.S. Defense Department"	0.0623265
Bowen	0.0619306
Hauser	0.0617884
"De La Hoya"	0.0617647
Grasso	0.0616415
Hess	0.0614704
Kearin	0.0611444
Ciampi	0.0608674
Sheng	0.0599265
Aventajado	0.0598262
"Shane Mosley"	0.0598246
Huizenga	0.059406
Stoneman	0.0593504
Insulza	0.059199
Leavitt	0.0591779
Waigel	0.0589654
McKenna	0.0589588
Wolfson	0.0588216
Beazley	0.0582495
Lockyer	0.058208
"Oba Carr"	0.0581807
McLane	0.0580347
Tsvangirai	0.0579313
Sherrill	0.0576608
Manley	0.0575716
Ribbeck	0.0575585
Pitney	0.057162
Cleary	0.0570096
"Joe Frazier"	0.05679
McGuinness	0.0564888
Eizenstat	0.0562965
Goldin	0.0562704
Valenti	0.0560043
Gillick	0.0558356
Sensenbrenner	0.0558351
Rosenblatt	0.0554856
Schuerholz	0.0554296
"International Management Group"	0.055422
Scharping	0.0554154
Ainge	0.0553635
Vargas	0.0553588
Auriemma	0.0551079
"Riddick Bowe"	0.0549919
Naumann	0.0549423
hodgson	0.0549141
Rothenberg	0.0548994
Cashman	0.0547759
Polian	0.0546707
Gossage	0.054415
Okada	0.0543878
Quartey	0.0543842
Fleischer	0.0541642
beamer	0.0540511
Michaels	0.0540467
Constantinescu	0.054017
McKinnon	0.053687
Caddell	0.0536655
Colangelo	0.0536296
"Oscar De La Hoya"	0.0535153
Samuelson	0.0533811
TVKO	0.0533657
"Ike Quartey"	0.053316
Kumar	0.0531177
Braswell	0.0529619
Allchin	0.0529032
Eurotunnel	0.0521073
Levitt	0.0519489
Bochy	0.0518872
Beilin	0.0518634
ROMNEY	0.0517459
Finkel	0.0517443
Sassa	0.0516166
Scioscia	0.0515933
Schmid	0.0514801
"Advanced Micro Devices Inc."	0.0514053
Rylander	0.051399
Sheehan	0.0513904
Caldera	0.0512529
Ftorek	0.0512252
Rudenstine	0.0512028
Echols	0.0511594
Ikeda	0.0511374
"Enron Corp."	0.0510977
Cremins	0.0510811
Passarella	0.0510597
Klerk	0.0510364
Hunsicker	0.0507806
Aliotti	0.0507738
Harmoko	0.0507224
Bergeron	0.0507096
Burleigh	0.0507073
Lyons	0.0506557
Waxman	0.0506369
Singson	0.0504661
DeFrantz	0.050459
Patel	0.0503482
Granic	0.0501195
Gosper	0.050099
McKeon	0.0499884
Rangel	0.049918
"Consumer Product Safety Commission"	0.0497224
Russo	0.049685
"Al Fayed"	0.0496592
Cui	0.0496502
Chadwick	0.0495741
Zacarias	0.0494903
McQueen	0.0494228
Bakaly	0.0494023
Nickerson	0.0493876
D'Alessandro	0.0493492
"Sepp Blatter"	0.0493007
Shaheen	0.0492969
Rosenthal	0.049227
Banzer	0.0492095
Jacobsen	0.0490978
Hearn	0.0490397
Schrempp	0.0490357
Ballmer	0.0490223
Diouf	0.0490108
Prewitt	0.0489886
"Vodafone Airtouch PLC"	0.0489815
Murrell	0.0489774
"Frank Joklik"	0.0486741
Zambrano	0.0486484
Brundtland	0.0486178
Marineau	0.0486177
Ovitz	0.0486129
Solis	0.0486036
Slocum	0.0485223
Kyl	0.0485097
Monson	0.0484463
Whitaker	0.0484142
Velayati	0.048395
"administration official"	0.0483297
Ouattara	0.0483188
"George Foreman"	0.0483095
"Joao Havelange"	0.0482537
Meyers	0.0481706
Nano	0.0481661
Clements	0.0478588
Aguirre	0.047798
Kulikov	0.0477754
Marquez	0.0477239
Duquette	0.047717
"Larry Holmes"	0.0476214
Podesta	0.0476104
Mullinax	0.047608
Musa	0.0475852
Kirkpatrick	0.0475685
Carollo	0.0475468
Summitt	0.047513
Babcock	0.0474381
Dunleavy	0.047411
Lehane	0.0473749
Heinrichs	0.0473568
Diller	0.0473069
Jauron	0.0472745
Marinovich	0.0472517
Bronfman	0.0472226
Thyssen	0.0471704
Mackenzie	0.0471424
"Northeast Utilities"	0.0471281
Camdessus	0.0471126
Hodler	0.0470729
))
("Bob Baffert" (desc 7930.84) (sims
Baffert	0.298315
"D. Wayne Lukas"	0.2867
"Nick Zito"	0.231328
"Elliott Walden"	0.227995
"Neil Drysdale"	0.204081
Lukas	0.188643
"Richard Mandella"	0.185491
"Emanuel Steward"	0.176272
"Laffit Pincay"	0.115055
Mandella	0.113023
"Victory Gallop"	0.102613
"Chris McCarron"	0.0959915
"Chris Antley"	0.0952101
"Real Quiet"	0.0909226
"Alex Solis"	0.0888994
"Kent Desormeaux"	0.0878065
Zito	0.0857496
trainer	0.084536
"Gary Stevens"	0.0819205
"Corey Nakatani"	0.0812821
Walden	0.0801052
"Silver Charm"	0.0776839
"Richard Hatch"	0.0757911
"Free House"	0.0747041
McCarron	0.0744287
Pincay	0.0723181
Drysdale	0.070899
"Jerry Bailey"	0.0705745
"Kentucky Derby"	0.0688175
Silverbulletday	0.0685005
Schmid	0.0671381
charismatic	0.0667651
"Cat Thief"	0.0667294
Menifee	0.0642881
"Answer Lively"	0.0639059
jockey	0.0637865
Atler	0.0633889
"Fusaichi Pegasus"	0.0633862
"Skip Away"	0.0630279
Sahadi	0.0626078
Chilukki	0.0623536
Okada	0.0622633
"Puerto Madero"	0.0617098
"Red Bullet"	0.0608101
grindstone	0.0596823
Rahal	0.0592814
Valhol	0.0592089
Pegram	0.0576313
Preakness	0.057542
"James Bond"	0.0571119
Heinrichs	0.0565448
"Excellent Meeting"	0.0557586
Surfside	0.0556618
Solis	0.0552754
Kearin	0.0552611
Whittingham	0.0549087
Behrens	0.0545359
Hine	0.0542912
Luyendyk	0.0541673
"Mike Smith"	0.0541339
Gossage	0.0540521
Gogel	0.0530534
Ganassi	0.052735
"Desert Hero"	0.0526395
Kjus	0.0520776
breeder	0.0520027
"Pat Day"	0.051899
Saberhagen	0.0518969
racehorse	0.0513107
beamer	0.0503391
Brooks	0.0500078
Ainge	0.0499848
filly	0.0499311
"Thunder Gulch"	0.0495695
"Koji Ito"	0.0494265
Goossen	0.0491327
Derby	0.0490435
Godolphin	0.0485547
Driscoll	0.0485298
"Prime Timber"	0.0484268
Fleischer	0.0483192
O'Meara	0.048236
Wetteland	0.0481016
Solich	0.0478765
Fassel	0.0478625
Devers	0.047331
Antley	0.0472643
Guthridge	0.0472461
"Sepp Blatter"	0.0470639
Andreychuk	0.0470545
Desormeaux	0.046811
Sanchez-Vicario	0.046644
Kuehne	0.046587
Weinke	0.0465058
"Arie Luyendyk"	0.0464665
Inkster	0.046269
"physical therapist"	0.0462295
shoemaker	0.0462218
Ebersol	0.0461807
Harbaugh	0.046164
Appleby	0.0460459
Lewises	0.0460426
"Miguel Indurain"	0.046019
Janzen	0.0459386
Ferdinand	0.0457986
Weisman	0.0456738
Herta	0.0456075
Gaston	0.0455987
"Michael Andretti"	0.0455814
Ivanisevic	0.0455172
Pioline	0.0454878
Scelzi	0.0454821
colt	0.0454118
"Seattle Slew"	0.0453741
Tanui	0.0453311
Ftorek	0.0451637
Gavin	0.0451244
Strauss-Kahn	0.0451227
Khannouchi	0.045111
Aamodt	0.0450516
Pantani	0.0447511
Menard	0.0445585
Unser	0.0444049
Piot	0.0441854
Irwin	0.0440509
lacy	0.0439047
"Marco Pantani"	0.0438059
Montoya	0.0437784
Faldo	0.0436309
Klim	0.0435577
"American Andre Agassi"	0.043526
Lindland	0.0435005
McEnroe	0.0434293
towers	0.0432542
Seles	0.0429472
Inman	0.0428557
"Jeff Gordon"	0.0428054
Dunleavy	0.0427801
Torre	0.0427682
"Winning Colors"	0.0427321
Valenzuela	0.0426677
Hyman	0.0426655
Donnan	0.0426461
"Lemon Drop Kid"	0.0425615
Schmitt	0.0425477
Guerra	0.0423886
Reiner	0.0423515
Cink	0.0422876
Ponciano	0.0422729
"David Flores"	0.0422091
"Earnhardt Jr."	0.0421665
Hoddle	0.0420782
Trippi	0.0420502
"Annika Sorenstam"	0.0420279
Frankel	0.0419931
Meissner	0.0419682
Schmidt	0.0418597
McGinnis	0.0418192
Daylami	0.0417041
Barros	0.0417014
Soyinka	0.0416839
Easley	0.041676
BEGAY	0.0416631
Tomey	0.0416368
O'Leary	0.0414868
Carroll	0.0414186
Kafelnikov	0.0414143
Longo	0.0413336
Aoki	0.0412989
"Awesome Again"	0.0412986
Villeneuve	0.0412976
Bowden	0.0412548
Hentgen	0.0411254
Capriati	0.0410152
Ullrich	0.0408454
Arum	0.0407244
Hoch	0.0405911
"John Smith"	0.0405099
Prewitt	0.0405041
Piniella	0.0404659
Sherrill	0.0404177
Mcbride	0.0402926
Krzyzewski	0.0402259
Diouf	0.04021
Bochy	0.0400686
"John McEnroe"	0.0400387
"Worldly Manner"	0.0400254
Auriemma	0.0400142
))
("Bob Barr" (desc 8342.82) (sims
"Charlie Norwood"	0.25724
"Asa Hutchinson"	0.201613
"James Rogan"	0.199246
"John Conyers"	0.192591
"Paul Coverdell"	0.191277
"John Linder"	0.184891
"Ed Bryant"	0.18199
"Charles Canady"	0.179014
"Bill McCollum"	0.174284
"Tom Campbell"	0.171094
"Barney Frank"	0.16935
"J.C. Watts"	0.169327
"Jack Kingston"	0.168078
"David Dreier"	0.167432
"Jim Kolbe"	0.166141
"Dick Armey"	0.166042
"Dan Burton"	0.162334
"Lindsey Graham"	0.160599
"Lamar Smith"	0.16017
"Henry Hyde"	0.152622
"Tom DeLay"	0.152267
"John Lewis"	0.148097
"Orrin Hatch"	0.145355
"John Boehner"	0.143593
"Christopher Cox"	0.138383
"John Dingell"	0.137808
"Mark Foley"	0.136548
"Christopher Shays"	0.136378
"Steve Chabot"	0.135706
"Sheila Jackson Lee"	0.135273
"George Gekas"	0.133794
"Max Cleland"	0.131987
"Christopher Smith"	0.130107
"Nancy Pelosi"	0.12765
"Dan Miller"	0.124868
"Bill Archer"	0.12395
"James Sensenbrenner"	0.121753
"Steve Largent"	0.120119
"Mark Sanford"	0.118388
Barr	0.117667
"Mitch McConnell"	0.116809
"Charles Schumer"	0.115939
"Curt Weldon"	0.114757
"Newt Gingrich"	0.114342
"Jim Leach"	0.113656
"Carolyn McCarthy"	0.113587
"Linda Smith"	0.112762
"Charles Rangel"	0.112246
"Tillie Fowler"	0.110634
"Kay Bailey Hutchison"	0.110403
"Jennifer Dunn"	0.110046
"majority leader"	0.106579
"Peter King"	0.106563
"Zoe Lofgren"	0.106405
"George Miller"	0.106139
"Jose Serrano"	0.106106
"Bob Livingston"	0.104983
"Porter Goss"	0.103976
"Connie Mack"	0.103861
"Lloyd Doggett"	0.103694
"Jesse Helms"	0.102893
"Maxine Waters"	0.101978
"Henry Bonilla"	0.101448
"Bob Franks"	0.101388
"John Kasich"	0.101386
"Sam Nunn"	0.10075
"Benjamin Gilman"	0.100181
"House Majority Whip Tom DeLay"	0.098981
"Phil Gramm"	0.0987779
"Mary Bono"	0.0978961
"Roy Barnes"	0.0978077
"Bernard Sanders"	0.0971576
"Matt Salmon"	0.0964743
"Martin Frost"	0.0960487
"Carolyn Maloney"	0.0949079
"Arlen Specter"	0.0942007
"Chris Smith"	0.0936841
"Bill Thomas"	0.0936225
"Tom Coburn"	0.0922594
"Jerrold Nadler"	0.0911057
"Rick Lazio"	0.0898957
"Patrick Kennedy"	0.0895373
"Jim Bunning"	0.0892445
"John Sweeney"	0.0891348
"George Nethercutt"	0.0879732
"Tom Daschle"	0.0878473
R-S.C.	0.0876951
"Charles E. Schumer"	0.0873846
"Mike DeWine"	0.087337
"Mark Green"	0.086615
"Ron Paul"	0.0864667
"Edward M. Kennedy"	0.0859544
"Bob Smith"	0.0849522
"Dennis Hastert"	0.084506
"Martin Meehan"	0.0844299
McConnell	0.0829764
"Henry Waxman"	0.0824866
"Lee Hamilton"	0.0824595
Coverdell	0.0822372
"Rick Santorum"	0.0820778
"Charles Stenholm"	0.081668
"Loretta Sanchez"	0.0816345
"Robert Livingston"	0.0814904
"Nita Lowey"	0.0811377
"Marc Hodler"	0.0787587
"John Ashcroft"	0.0783567
"Connie Morella"	0.0777226
"Trent Lott"	0.0772668
"Bill Frist"	0.0770226
"Don Young"	0.0765247
"Pete Domenici"	0.0765063
"Jon Kyl"	0.0759243
"Don Nickles"	0.0756586
McCollum	0.0754039
"Larry Craig"	0.0751942
Gramm	0.0750231
Gingrich	0.0743783
"Faisal Husseini"	0.0737833
"Robert Menendez"	0.0736475
"Fred Thompson"	0.0736364
"Edward Kennedy"	0.0735283
R-Miss.	0.0735241
"Susan Molinari"	0.0734563
"Jim Gilmore"	0.0730538
Hutchinson	0.0723209
R-Ill.	0.072075
"Sam Brownback"	0.0719109
"Billy Tauzin"	0.0718773
"Lauch Faircloth"	0.0715116
"Dianne Feinstein"	0.0711698
"Barbara Boxer"	0.0709699
"John Breaux"	0.0709132
"Jim Turner"	0.0707603
"Majority Whip Tom DeLay"	0.0706666
"Greg Ganske"	0.0702906
"Jack Quinn"	0.0702457
R-Ga.	0.0693505
"Dick Pound"	0.0684063
Grassley	0.0680614
"Amo Houghton"	0.0680287
"Sherwood Boehlert"	0.0676793
"Nancy Johnson"	0.0674743
"Kit Bond"	0.067364
Hyde	0.0670943
Lugar	0.0670656
Nadler	0.0665381
R-Texas	0.0664608
"Robert Torricelli"	0.0661797
Ashcroft	0.0655052
"Illinois Republican"	0.0654326
"Craig Thomas"	0.0649783
"Yossi Sarid"	0.0649307
"John Warner"	0.0644831
Schumer	0.0641425
"Bob Graham"	0.0639789
"Rick White"	0.0637803
Tauzin	0.0635784
"Ted Stevens"	0.0634686
Armey	0.0634381
"Mike Leavitt"	0.0631517
"Tony Coelho"	0.0629926
"Tom Harkin"	0.0629546
"Gary Bauer"	0.0629219
Hagel	0.062792
"Sonny Bono"	0.0627633
"Kevan Gosper"	0.0626514
"Jumaine Jones"	0.0621213
Gephardt	0.0620434
Barbour	0.0617502
Thurmond	0.0615866
"John Kerry"	0.0614928
"Jack Kemp"	0.0614104
"Tom Hayden"	0.0613611
"John Engler"	0.0613066
Mandelson	0.0611359
Shays	0.0608822
"Norm Dicks"	0.0604773
Dewine	0.0600274
"Guy Millner"	0.0598864
"Mike Foster"	0.0593668
"Pete Wilson"	0.0592344
Connerly	0.0591336
Rogan	0.0590221
"Charles Grassley"	0.0590196
"Tom Davis"	0.0589322
"Sue Kelly"	0.0587777
"Richard Gephardt"	0.0587121
"Jacques Rogge"	0.0585179
"David Bonior"	0.0582291
Feinstein	0.0582242
Hastert	0.0582165
Congressman	0.058067
R-Ind.	0.0576575
"Richard Lugar"	0.0576396
"Dick Gephardt"	0.0576267
"Yossi Beilin"	0.0575612
"Robert Bennett"	0.057406
Helms	0.057261
R-Utah	0.057212
"Charlene Barshefsky"	0.057162
))
("Bob Bullock" (desc 2414.83) (sims
"Buddy MacKay"	0.220063
"Lawton Chiles"	0.208495
"Rick Perry"	0.17011
"Don Siegelman"	0.157135
"Betsy McCaughey Ross"	0.154938
"Jim Hunt"	0.151487
"Kathleen Kennedy Townsend"	0.147335
"Tom Vilsack"	0.139257
"John Connally"	0.136243
bullock	0.13453
"Paul Patton"	0.129162
"Zell Miller"	0.126919
"Mel Carnahan"	0.122557
"Lee Hamilton"	0.119518
"Jeanne Shaheen"	0.116481
"Roy Romer"	0.113643
"Frank Lautenberg"	0.113357
"Ron Brown"	0.111369
"Ann Richards"	0.111265
"Jim Hodges"	0.108104
"Jim Florio"	0.106682
"Gray Davis"	0.106351
"Parris Glendening"	0.106288
"Sheldon Silver"	0.106015
"Dale Bumpers"	0.105971
"Rajiv Gandhi"	0.104159
"Jim Guy Tucker"	0.103443
"Dan Morales"	0.103103
"Roy Barnes"	0.100782
"Jerry Brown"	0.0988992
Lautenberg	0.0981594
"Sheila Jackson Lee"	0.0975441
"Daniel Patrick Moynihan"	0.0971126
"Paul Tsongas"	0.0950719
Moynihan	0.0943596
"Lloyd Bentsen"	0.0921929
"Richard Bryan"	0.0917993
"Ferdinand Marcos"	0.0915845
"Prabowo Subianto"	0.0891438
"Andreas Papandreou"	0.088294
"Mark Taylor"	0.087506
"Mike Leavitt"	0.0874074
"Paul Cellucci"	0.0870421
"Mario Cuomo"	0.0870223
"Gary Locke"	0.086583
"Sam Nunn"	0.0856631
"Lowell Weicker"	0.0851977
"Franz Beckenbauer"	0.0846826
Musgrove	0.084006
"President Lee Teng-hui"	0.0838101
"Renato Ruggiero"	0.0837593
Coverdell	0.0836875
Nadler	0.0832993
"William Weld"	0.0824265
Prabowo	0.0817511
"Pete Wilson"	0.0809267
Tarawneh	0.0804517
MacKay	0.0803578
Rendell	0.0797474
"Paul Coverdell"	0.0793712
Moakley	0.0792669
"Sonny Bono"	0.0790783
"lieutenant governor"	0.0790629
"Robert F. Kennedy"	0.0786508
Siegelman	0.0775889
"Reggie Lewis"	0.076622
"Evan Bayh"	0.0758124
"Robert C. Byrd"	0.0744433
Comptroller	0.0744183
Bulatovic	0.073841
"John Glenn"	0.0738344
"Fob James"	0.0735742
"Johnny Paul Koroma"	0.0732674
"John G. Rowland"	0.0730458
"Douglas MacArthur"	0.0728194
"Joao Havelange"	0.0721094
"David Beasley"	0.071963
"Charles Rangel"	0.0706647
Hodges	0.0703866
Nyerere	0.0700517
"Bruce Babbitt"	0.0699831
"Mike Huckabee"	0.0699044
"Shaul Mofaz"	0.0698452
"Edwin Edwards"	0.0696696
"George Wallace"	0.0695679
"Robert Rubin"	0.0689082
"Eliot Spitzer"	0.0687605
"John Huang"	0.0683819
"Amnuay Virawan"	0.0676745
Mitterrand	0.0674735
Markey	0.0673709
"Bobby Rahal"	0.0673203
"Jane Hull"	0.0670924
Raduyev	0.0670349
Kerrey	0.0669904
"Barry Goldwater"	0.0668631
Dudayev	0.0668305
"Gro Harlem Brundtland"	0.066709
Sutiyoso	0.0667088
"Noboru Takeshita"	0.0666463
"Vincent Foster"	0.0665371
"Dan Coats"	0.0664695
"Oladipo Diya"	0.066445
Dingell	0.0663791
"Garry Mauro"	0.0663079
"Bob Taft"	0.0661793
"State Law and Order Restoration Council"	0.0660233
"Al D'Amato"	0.0657644
"Oliver North"	0.0657018
"Kim Perrot"	0.0653392
"Bill Lockyer"	0.0652785
"Bill Owens"	0.0652225
"Robert E. Rubin"	0.0649485
Havelange	0.064724
"P.V Narasimha Rao"	0.06472
"Peter Vallone"	0.0646711
"Tony Coelho"	0.0643307
Deng	0.0642753
"Alexander Lebed"	0.0641742
Robb	0.0639988
"state senator"	0.0639979
"Xiong Guangkai"	0.0639513
"Jesse Ventura"	0.063914
"Bill Archer"	0.0638204
Voinovich	0.0637455
"Connie Mack"	0.0634308
"Joseph Biden"	0.0633874
Verney	0.0633304
"Sani Abacha"	0.0632395
"Hugo Chavez"	0.0632063
"Steve Campbell"	0.0631377
"John Conyers Jr."	0.0630512
Torricelli	0.0626824
"Ruud Gullit"	0.062503
Arbour	0.0623735
"Wlodzimierz Cimoszewicz"	0.0623239
"Jim Brown"	0.0621166
"Terry McAuliffe"	0.0620477
Windom	0.0617189
Barnes	0.0615851
McCall	0.0614745
"Yitzhak Rabin"	0.0612762
"Bob Kerrey"	0.0612503
"George Voinovich"	0.060934
"Marc Racicot"	0.0608389
"Alberto Tomba"	0.0605779
Kerry	0.060478
"Martin Frost"	0.0604449
"Robert Menendez"	0.06031
"Mike Foster"	0.0601163
"George E. Pataki"	0.0600733
"King Hassan II"	0.0600396
"Michel Camdessus"	0.0599953
Khomeini	0.0598719
Leahy	0.0598034
perry	0.0597667
Rangel	0.0596994
"Michael Dukakis"	0.0596522
"John Kerry"	0.0595636
Pelosi	0.059531
"Mario Andretti"	0.0595064
"Roberto Clemente"	0.0595006
Carnahan	0.0593685
"Paul Begala"	0.059164
"Ted Kennedy"	0.0590386
"Cardinal John O'Connor"	0.0588239
alderman	0.0583521
"Valery Pustovoitenko"	0.0582099
Macdonald	0.0579858
"Ron Wyden"	0.0579017
"Robert Kennedy"	0.0578652
Lowery	0.0578424
"Gary Johnson"	0.0577424
Kennelly	0.0576801
"John Rowland"	0.0576669
"Charles Schumer"	0.0576346
"John Conyers"	0.0572703
"JFK Jr."	0.0571844
"Gary Hart"	0.0571667
Schaeuble	0.0570821
Schaefer	0.0569729
"John Shalikashvili"	0.0569082
"Ernest Hollings"	0.0568483
"David Johnson"	0.0567062
"Mark Tuinei"	0.0564166
"John Snyder"	0.0563525
Vallone	0.056306
"Martin Lee"	0.0562356
Biden	0.0562131
"Jim Harrick"	0.0561951
autocrat	0.0560468
Stepashin	0.0559948
"Ben Hogan"	0.0559319
Traficant	0.0558255
"Abu Ala"	0.0558027
Ruthardt	0.0556642
"Robert Byrd"	0.0554915
D-Vt.	0.0553047
"Deng Xiaoping"	0.0552707
Shaheen	0.0552199
))
("Bob Corkum" (desc 1874.92) (sims
"Juha Ylonen"	0.31024
"Oleg Tverdovsky"	0.300702
"Jyrki Lumme"	0.281891
"Rick Tocchet"	0.238575
"Shane Doan"	0.236405
"Teppo Numminen"	0.220953
"Brad Isbister"	0.219219
"Greg Adams"	0.216585
"Jeremy Roenick"	0.206993
"Keith Tkachuk"	0.202168
"Cliff Ronning"	0.181865
"Mike Sullivan"	0.181095
"Ian Laperriere"	0.176251
"Doug Weight"	0.160723
"Olli Jokinen"	0.15572
"Dallas Drake"	0.152605
"Travis Green"	0.147005
"Ray Ferraro"	0.128323
"Nikolai Khabibulin"	0.126725
"Ron Francis"	0.125842
"Joe Kleine"	0.120164
"Bryan Smolinski"	0.113267
"Vladimir Tsyplakov"	0.111658
"Scott Gomez"	0.11158
"Patrik Stefan"	0.111114
"Dave Wohlabaugh"	0.110688
"Luc Robitaille"	0.108281
"Vlade Divac"	0.107483
"Mark Stepnoski"	0.10723
"Ziggy Palffy"	0.106609
"Bobby Holik"	0.104488
"Yao Ming"	0.101089
"Steve Rucchin"	0.100943
Roenick	0.100719
"Doug Gilmour"	0.0999281
"Wang Zhizhi"	0.0996322
"Rodney Rogers"	0.0982327
"Glen Murray"	0.0955685
"Peter Bondra"	0.0952782
"Mathieu Schneider"	0.0937926
"Nelson Emerson"	0.0925823
"Robert Reichel"	0.0919718
"Jozef Stumpel"	0.0915075
"Sean Rooks"	0.0913301
"Derrick Coleman"	0.0912605
"Brian Scalabrine"	0.0907256
"Gary Roberts"	0.0901516
"Jennifer Gillom"	0.0893371
"Jake Voskuhl"	0.0872101
"Yanic Perreault"	0.086137
"Joe Thornton"	0.0858677
"Brad Miller"	0.0855797
"Theo Ratliff"	0.0853029
"Chris Drury"	0.0851847
"Olden Polynice"	0.0850985
"Matt Geiger"	0.0849013
"Guy Carbonneau"	0.0847086
"Stephane Fiset"	0.0845806
"Joe Sakic"	0.0836284
"Jason Allison"	0.0835693
"Scott Thornton"	0.0835205
"Donald Audette"	0.0833429
"Sergei Fedorov"	0.0820004
"Etan Thomas"	0.0819999
"Ike Austin"	0.0818257
"Chris Taylor"	0.0816638
"Aki Berg"	0.0811718
"Vincent Damphousse"	0.0806556
Tkachuk	0.0805768
"Alan Henderson"	0.0803135
"Igor Larionov"	0.0793197
"Alexei Kovalev"	0.0790438
"Keith Primeau"	0.0788717
"Raef LaFrentz"	0.0786559
"Sean Burke"	0.0785499
"Mattias Norstrom"	0.0784905
"Grant Long"	0.077021
"Claude Lemieux"	0.0768985
"Will Perdue"	0.0767646
"Lorenzen Wright"	0.0763488
"Arvydas Sabonis"	0.0760811
"Craig Johnson"	0.0749908
"Kenyon Martin"	0.0749284
"Adam Oates"	0.0745395
"Chris Crawford"	0.0742768
"Tim Taylor"	0.0739506
"Horace Grant"	0.0735859
"Chris Mihm"	0.0732569
"Stern John"	0.0727717
"John Salley"	0.0723397
"Scot Pollard"	0.0720051
"Steve Yzerman"	0.0714153
"Shawn Bradley"	0.0713585
"Mark Bryant"	0.0707946
"Peter Forsberg"	0.0704195
"Greg Ostertag"	0.0703108
"Aaron Gavey"	0.0700106
"Travis Knight"	0.0687103
"Blake Sloan"	0.0682822
"ZIGMUND PALFFY"	0.0681603
"Brendan Shanahan"	0.0679378
"Vitaly Potapenko"	0.0677811
"Steve Duchesne"	0.0677411
"Anson Carter"	0.0677091
"Wendel Clark"	0.0673142
"Sherman Douglas"	0.067242
"Jeff Friesen"	0.0664068
"Alexei Yashin"	0.0663553
"Kevin Willis"	0.0663108
"Theo Fleury"	0.0660987
"Manny Malhotra"	0.0657923
"Kenny Thomas"	0.0657505
"Chris Anstey"	0.0657157
"Brian Skrudland"	0.0651389
"Corliss Williamson"	0.0651342
"Tom Gugliotta"	0.0650857
"Rik Smits"	0.0648233
"Eric Lindros"	0.0645678
"Pierre Turgeon"	0.0642383
"Jermaine O'Neal"	0.0640659
"Joe Juneau"	0.0638749
"Landon Wilson"	0.0634651
"Robert Traylor"	0.0631295
"Gabe Muoneke"	0.0629297
"Michael Peca"	0.0628266
"Detlef Schrempf"	0.0625698
"Petr Sykora"	0.0623009
"Aaron Williams"	0.0621576
"Benoit Hogue"	0.062132
"Gary Trent"	0.0620085
"Luc Longley"	0.0619007
"Elton Brand"	0.0616217
"J.R Reid"	0.0608416
"Shawn Marion"	0.0608189
"Cedric Ceballos"	0.0606047
"Dan Gadzuric"	0.0605262
"Maurice Taylor"	0.0602779
"Antonio McDyess"	0.0600107
"Kelvin Cato"	0.0599953
"Oliver Miller"	0.0599581
Yashin	0.0596646
"Jayson Williams"	0.0592265
"Kevin Stevens"	0.0589392
"Austin Croshere"	0.0588747
"Tony Hrkac"	0.0587843
"Yolanda Griffith"	0.058137
"Mark Madsen"	0.058108
"Kevin Freeman"	0.0573239
"Brent Barry"	0.0572739
"Jason Arnott"	0.0572247
"Brian Skinner"	0.0570577
"Michael Wright"	0.0570318
"John LeClair"	0.0569911
"Pavol Demitra"	0.0569161
"Lisa Leslie"	0.0568134
"Bill Wennington"	0.0567407
"Joe Smith"	0.0564267
"Curtis Brown"	0.0564051
"Mark Messier"	0.0563139
"Joe Nieuwendyk"	0.0562386
"Todd MacCulloch"	0.0559618
Villareal	0.0559447
"Kevin Jordan"	0.055935
"Gregg Jefferies"	0.0558769
"Brian Grant"	0.0558763
"Zydrunas Ilgauskas"	0.0555862
"Brian McBride"	0.0554297
"Mats Sundin"	0.0551577
"Sam Perkins"	0.0550053
"Joe Murphy"	0.0548779
"Antonio Davis"	0.0546849
Stumpel	0.0544903
"Ruben Patterson"	0.0544252
"Michael Olowokandi"	0.0543323
Audette	0.0542482
"Dale Hunter"	0.0540133
"Tyrone Nesby"	0.0537314
"Samaki Walker"	0.0537088
"Dickey Simpkins"	0.0534711
"Greg Foster"	0.053362
"Dikembe Mutombo"	0.0529969
"Mike Modano"	0.0529557
"Rony Seikaly"	0.0528854
"Predrag Mijatovic"	0.052832
"Elden Campbell"	0.0525518
"Derek Plante"	0.0523502
"Jarvis Turner"	0.052292
"Paul Coffey"	0.0522542
"Ken Johnson"	0.0521302
Sabonis	0.0519781
"Alonzo Mourning"	0.0518362
"CORIE BLOUNT"	0.0517506
"Jerome Moiso"	0.0516854
"Rex Chapman"	0.0516405
Palffy	0.0515004
"Charlie Garner"	0.0513083
"Donyell Marshall"	0.0511866
"Ulf Samuelsson"	0.0511757
"Tamika Catchings"	0.0511457
"Marcus Fizer"	0.0511325
))
("Bob Costas" (desc 3130.74) (sims
"Chris Berman"	0.196676
"Jim Gray"	0.179363
"Vin Scully"	0.176978
"Marv Albert"	0.162969
Costas	0.121282
"Ted Koppel"	0.120136
"Tom Brokaw"	0.11712
"Al Michaels"	0.108785
"Pat Summerall"	0.10374
"Frank Gifford"	0.10213
"Lou Dobbs"	0.0999096
"Tim Russert"	0.0927689
"Charles Gibson"	0.090794
"Suddenly Susan"	0.0864329
"Bryant Gumbel"	0.085916
"Sam Donaldson"	0.0809056
"Matt Lauer"	0.079736
"Katie Couric"	0.0790007
"Don Sutton"	0.07828
"Bill Maher"	0.077408
GUMBEL	0.0737389
Napolitano	0.0733223
"Brian Williams"	0.0730149
"Johnny Bench"	0.0709721
"John Madden"	0.06985
"Today Show"	0.0685857
"Rush Limbaugh"	0.0673016
"Jay Leno"	0.0671281
"Larry King"	0.0655877
"Keith Olbermann"	0.064512
"Walter Cronkite"	0.0632282
"Laura Schlessinger"	0.0628
"Alan Keyes"	0.0612844
"James Brown"	0.0612395
"Kathie Lee Gifford"	0.0587412
Ciampi	0.0577556
"Regis Philbin"	0.0575334
"Rosie O'Donnell"	0.0574015
"Connie Chung"	0.0571017
Greenwald	0.0570816
"Doc Rivers"	0.0569681
"George Stephanopoulos"	0.0568734
"Pat Robertson"	0.0564753
"Whoopi Goldberg"	0.0563165
Cleese	0.0560696
"Magic Johnson"	0.0557052
sportswriters	0.0556808
"Third Watch"	0.0554944
Schultz	0.0552485
"Joan Rivers"	0.0548124
Schmid	0.0547864
Fernandes	0.0540274
Frasier	0.0531968
Lehrer	0.0529089
"Barbara Walters"	0.0528577
Naumann	0.0527579
NHK	0.0524371
Couric	0.0522891
"Mike Wallace"	0.0520368
"Late Night"	0.0519882
LeBlanc	0.0517806
execs	0.0515951
Aventajado	0.0515448
Whitacre	0.0514076
"Peter Jennings"	0.0506975
"John Thompson"	0.0504847
"Diane Sawyer"	0.0502089
Hearn	0.0501265
"James Dobson"	0.0500879
"Isiah Thomas"	0.050074
"Johnny Miller"	0.0500684
Milken	0.0498796
"Geraldo Rivera"	0.0498727
announcer	0.0495459
"Joe Morgan"	0.049538
mini-series	0.0494407
Shipley	0.0491968
Passarella	0.0491181
"David Letterman"	0.0489693
"Boomer Esiason"	0.0488858
"Garry Shandling"	0.0487048
Foxx	0.048315
"Bob Cousy"	0.0482779
Rockefellers	0.0482038
Shareh	0.0481558
Segal	0.0480235
"Bill Walton"	0.0471582
Tilberis	0.0471346
"Wayne Gretzky"	0.0469604
Meguid	0.0465383
"Will &AMP; Grace"	0.0464973
Philbin	0.0463542
"Tony Perez"	0.0461308
Okada	0.0460666
Coffey	0.0460428
celebs	0.0455964
Tuttle	0.0455239
Leno	0.0453439
"Jerry Springer"	0.0451529
Berle	0.0450641
"Billy Crystal"	0.044968
"Dan Rather"	0.044957
"Jerry Lewis"	0.0448936
Huggins	0.0448595
"Bora Milutinovic"	0.0447855
Wilhelm	0.0442606
Ratner	0.0442084
"Jim Leyland"	0.0440028
O'Hara	0.0439257
Kulikov	0.043819
Yadav	0.0436778
Mendez	0.0436744
Talebi	0.0436358
Margolis	0.0436124
"Cokie Roberts"	0.043561
"Isaac Stern"	0.0435589
Doherty	0.0434815
"Oscar Robertson"	0.0434803
Fuhrman	0.0434481
trinity	0.0431129
"news show"	0.0430697
Sherrill	0.0428739
Stoneman	0.042794
Cowens	0.0426936
exec	0.0426922
"Jim Lehrer"	0.0425423
Ebersol	0.0425272
"James Worthy"	0.042509
"Dick Clark"	0.0424242
Calipari	0.0424234
Ftorek	0.0423706
Summitt	0.0422494
Shatner	0.0420878
Nanula	0.0419657
"Oprah Winfrey"	0.0419191
Kurth	0.0417419
Pustovoitenko	0.0416465
Whaley	0.0416157
"Pete Rose"	0.0416057
"Bernard Shaw"	0.0416007
Molinari	0.0415083
Wiggins	0.041423
Gauthier	0.0413595
"William Kristol"	0.0413482
"Terry Bradshaw"	0.0412836
"Claudia Schiffer"	0.0412527
"Rick Neuheisel"	0.0411658
E.R	0.0410995
Harr	0.0410888
Olbermann	0.0410729
Ainge	0.0410208
COUSINS	0.040877
Nicol	0.0408376
McCurry	0.0407579
"Orlando Mercado"	0.0406119
Ruehe	0.0405356
"Bobby Valentine"	0.040358
Moratinos	0.0403495
"Dennis Miller"	0.0403381
Lalas	0.0402095
"Steve Allen"	0.0400135
))
("Bob Cousy" (desc 1351.25) (sims
"Oscar Robertson"	0.287295
"Kareem Abdul-Jabbar"	0.240686
"Jerry West"	0.208608
"Kevin McHale"	0.206722
"Bill Russell"	0.189347
"James Worthy"	0.187048
"Julius Erving"	0.18196
"Willis Reed"	0.158974
"Dave Cowens"	0.156272
"Lenny Wilkens"	0.156203
"John Havlicek"	0.140503
"Isiah Thomas"	0.140341
"Paul Silas"	0.134091
"Wilt Chamberlain"	0.122648
"Joe Dumars"	0.121338
"Larry Bird"	0.118103
"Magic Johnson"	0.116861
"Bill Walton"	0.115829
"Jerry Sloan"	0.105774
"Fred Claire"	0.10089
"Bobby Orr"	0.0987788
"Elgin Baylor"	0.0979643
Abdul-Jabbar	0.0946629
"John Thompson"	0.0854304
"Frank Robinson"	0.0761008
"Glenn Hoffman"	0.07207
"Pat Riley"	0.0637848
"Indiana State"	0.0635788
"Stan Musial"	0.0631313
"Duke Snider"	0.0626751
"Eddie Mathews"	0.0601153
"Hack Wilson"	0.0596136
"Charles Barkley"	0.0593563
Chamberlain	0.0585154
"Don Drysdale"	0.057904
"Jim Brown"	0.0548959
"Mickey Mantle"	0.0540804
"Hakeem Olajuwon"	0.0534963
"Joe Namath"	0.0519129
"Antoine Walker"	0.0515368
Kareem	0.0505116
"Davey Lopes"	0.050367
"Bob Costas"	0.0482779
"Jeff Van Gundy"	0.0474963
"Juan Marichal"	0.0471444
"Martina Navratilova"	0.0469768
"Reggie Miller"	0.0464951
Boller	0.0463336
Kidd	0.0457779
"Jimmie Foxx"	0.0454142
Weatherspoon	0.0453561
"Mark Cuban"	0.0452656
"George Karl"	0.0448588
"Hank Greenberg"	0.043054
Cory	0.042802
"Honus Wagner"	0.0421968
Mabry	0.0418296
"Mark Jackson"	0.0416877
Lue	0.0415048
Stepanova	0.0404335
"Almost three-quarters"	0.0404138
"Willie Mays"	0.0403201
))
("Bob Daly" (desc 1663.85) (sims
"John Harrington"	0.152952
"Michael Eisner"	0.151017
"Steve Case"	0.130417
"Tom Johnson"	0.127707
"Jerry Colangelo"	0.113519
"Dave Stewart"	0.103106
"Jack Welch"	0.100109
"Larry Ellison"	0.0989093
"Scott McNealy"	0.0988122
Graziano	0.0986589
"Craig Barrett"	0.0972379
Daly	0.0934789
"Cyril Ramaphosa"	0.0932153
"Jerry Reinsdorf"	0.0894633
"Harvey Weinstein"	0.0883302
"Tom Welch"	0.0847975
"Gerald Levin"	0.0807177
"M. Douglas Ivester"	0.0805912
"Barry Diller"	0.0778164
"Gianni Agnelli"	0.0774711
"James McDougal"	0.0751416
"Michael Dell"	0.0739102
"Charles Dolan"	0.0716878
"Jeffrey Katzenberg"	0.0710976
"Julian Bond"	0.0710148
"Juan Castro"	0.0709587
"Daniel Snyder"	0.0701804
"Bruton Smith"	0.067971
"Alan Mills"	0.0674012
"Jacques Rogge"	0.0668883
"Tony Coelho"	0.0668009
"Sumner Redstone"	0.065724
"Marzuki Darusman"	0.0652066
Murdoch	0.0643484
"Devon White"	0.064209
"Vin Scully"	0.0638671
"Davey Johnson"	0.06229
"Billy Payne"	0.0617578
"Jim Guy Tucker"	0.0613684
"Jack Gargan"	0.0600816
Hornacek	0.0591949
"Wang Daohan"	0.0587906
"Arthur Levitt"	0.0585286
"Jim Nicholson"	0.0579859
"Davey Lopes"	0.0576823
"Darren Dreifort"	0.057453
"Gene Sperling"	0.0572727
"Orel Hershiser"	0.0571119
"Lucio Tan"	0.0567709
"chairman of the board"	0.0564682
"Eric Gagne"	0.056454
women	0.0564364
"Michel Camdessus"	0.0559525
"Steve Jobs"	0.0557311
"Don Sutton"	0.05557
"Martin Frost"	0.0554788
"Jon Drummond"	0.0553553
Harmoko	0.0548367
"Porter Goss"	0.0546692
"Hugh Shelton"	0.054543
"Vince McMahon"	0.0544732
Reinsdorf	0.0540493
"True Path Party"	0.0539628
"Frank Joklik"	0.053939
"James Barksdale"	0.0535641
"Kevin Elster"	0.053403
"John Malone"	0.0529716
Vizcaino	0.0522085
"Adrian Beltre"	0.0510054
"Kirk Gibson"	0.0509194
"Alex Cora"	0.0509171
"Eric Karros"	0.0508593
"Oskar Lafontaine"	0.0506677
"Ivan Kostov"	0.0505865
"John Stockton"	0.0505441
"Jon Corzine"	0.0505177
"Yegor Stroyev"	0.0503905
"Chad Kreuter"	0.0502067
"Vojislav Seselj"	0.0497656
"Roy Romer"	0.0495304
"Drayton McLane Jr."	0.04932
"John Kelly"	0.0484347
"Archbishop Desmond Tutu"	0.0484294
"Bobby Grier"	0.0476976
"Tommy Lasorda"	0.0476172
"Steve Ballmer"	0.0475765
launderers	0.0474517
BORAS	0.0472634
"Chea Sim"	0.0471429
"Michel Platini"	0.0469028
"Eli Broad"	0.0466708
"Desmond Tutu"	0.0466646
"Nur Misuari"	0.0465785
"Jamie Arnold"	0.0462143
part-owner	0.0460227
"Paul LoDuca"	0.0459892
Tellem	0.0457533
"Yossi Sarid"	0.0457329
"Mike Morgan"	0.0455936
"South African Communist Party"	0.0454529
"Gennady Seleznyov"	0.0447793
"David Dreier"	0.0443687
"Ralf Schumacher"	0.044205
"Muslim Mindanao"	0.0437635
"Todd Hollandsworth"	0.0437192
"New Zealand First"	0.0434931
"Robert Johnson"	0.0434926
"Trenidad Hubbard"	0.0434557
"Wilton Guerrero"	0.0434361
"Mike Scioscia"	0.0433119
"Than Shwe"	0.0431441
"Antonio Osuna"	0.0430733
"Amien Rais"	0.043045
"Oksana Kazakova"	0.0428573
"Jack Smith"	0.0427382
Lasorda	0.0426579
"John Boehner"	0.0424547
"Ato Boldon"	0.0421881
"Ron Burkle"	0.0421488
"Welfare Party"	0.0419574
"Qiao Shi"	0.0417829
"Dave Mlicki"	0.0417495
"Scott Boras"	0.041561
"Wolfgang Schaeuble"	0.0414906
"Brian Bohanon"	0.0414425
Colangelo	0.0413409
"James Sensenbrenner"	0.0413228
"Mike Fetters"	0.0413066
"Eric Young"	0.0413046
"Don Young"	0.040786
"George Speight"	0.0406847
"Joey Hamilton"	0.0405681
"John Shalikashvili"	0.0404841
"Susan McDougal"	0.0402493
"certified public accountant"	0.040241
Richey	0.0402344
"Frank Jobe"	0.0402327
))
("Bob Dole" (desc 23787) (sims
"Michael Dukakis"	0.230476
DOLE	0.195991
"George W. Bush"	0.192526
"Bill Bradley"	0.186653
"Steve Forbes"	0.177343
"John McCain"	0.177088
"George Bush"	0.176515
"Elizabeth Dole"	0.176057
"George McGovern"	0.175838
"Al Gore"	0.170818
"Dan Quayle"	0.161803
"Pat Buchanan"	0.157825
"Lamar Alexander"	0.15653
"Ross Perot"	0.155677
"Gary Hart"	0.153725
"Gary Bauer"	0.152976
"Barry Goldwater"	0.152873
"Walter Mondale"	0.148008
"Dan Lungren"	0.147304
Bush	0.145871
"Patrick Buchanan"	0.144581
"Rick Lazio"	0.142197
"Dick Cheney"	0.141221
"Jack Kemp"	0.138781
"Ralph Nader"	0.135706
McCain	0.135547
"Ronald Reagan"	0.132768
gore	0.131829
"Hillary Rodham Clinton"	0.130289
Bradley	0.130143
Quayle	0.129378
"Vojislav Kostunica"	0.128645
"Guy Millner"	0.127915
"Garry Mauro"	0.127652
"Geraldine Ferraro"	0.125271
"Alejandro Toledo"	0.122284
"Hillary Clinton"	0.121791
"Alan Keyes"	0.119897
"John Hagelin"	0.116972
Buchanan	0.116581
"Scott Harshbarger"	0.11588
"Joseph Lieberman"	0.115688
"Joe Lieberman"	0.114727
"vice president"	0.114529
"Matt Fong"	0.113333
"Jimmy Carter"	0.113096
"Republican George W. Bush"	0.111231
Giuliani	0.111211
"Francisco Labastida"	0.110844
"Pat Roberts"	0.110278
senator	0.110163
"Gray Davis"	0.109301
"Orrin Hatch"	0.109135
"Lloyd Bentsen"	0.10848
"Bill Clinton"	0.106928
"Richard Nixon"	0.106884
"Megawati Sukarnoputri"	0.106804
"Paul Tsongas"	0.106425
"Charles Schumer"	0.105908
"Gennady Zyuganov"	0.105655
Forbes	0.105424
"George Pataki"	0.105079
"Democrat Al Gore"	0.104061
"Sam Brownback"	0.103036
Governor	0.102804
"Bob Smith"	0.102332
Perot	0.101567
Pataki	0.100855
Nader	0.100357
Labastida	0.0995701
D'Amato	0.099203
"Francisco Labastida Ochoa"	0.0988408
Lieberman	0.0987326
nominee	0.0984909
candidate	0.0980795
"Phil Gramm"	0.0977531
Schumer	0.0972378
Lazio	0.0963897
Lungren	0.0960814
"Jeb Bush"	0.0959733
"John Kasich"	0.0954836
"Trent Lott"	0.0945304
"Colin Powell"	0.0938809
"Bob Franks"	0.0935717
Bauer	0.0926467
"Linda Smith"	0.0924937
front-runner	0.0916956
"John Ashcroft"	0.0913941
"Jesse Jackson"	0.090524
"Jon Corzine"	0.0902612
"George W."	0.0899737
"Newt Gingrich"	0.0899663
"David Duke"	0.0895394
Harshbarger	0.089265
Mauro	0.0884892
"Benjamin Netanyahu"	0.0877937
"Shimon Peres"	0.0869014
Republican	0.0867739
"Mikhail Gorbachev"	0.0866488
"first lady"	0.0862325
"Vicente Fox"	0.0856988
Zyuganov	0.0856061
"Patrick J. Buchanan"	0.0850489
"Jesse Helms"	0.084676
"Peter Vallone"	0.0842666
Netanyahu	0.0837266
Reagan	0.0836075
"Pete Wilson"	0.0825605
"Gerhard Schroeder"	0.0825309
"Gerald Ford"	0.082267
incumbent	0.0821319
"Tom Campbell"	0.0813462
Mayor	0.0810761
Gramm	0.0806538
Vallone	0.0803033
"Robert F. Kennedy"	0.0802749
"Mario Cuomo"	0.0802562
"Jim Florio"	0.0799814
Keyes	0.0799477
Ashcroft	0.0793042
"Howard Baker"	0.0792673
Clinton	0.0788828
"George Mitchell"	0.0787487
Kohl	0.0786823
Hagelin	0.0783907
Carnahan	0.0775324
"Jesse Ventura"	0.0775296
"Betsy McCaughey Ross"	0.0775078
Alexander	0.077507
"Roy Barnes"	0.0773923
"Cuauhtemoc Cardenas"	0.0773658
Lott	0.0772858
"Margaret Thatcher"	0.0768797
"Dianne Feinstein"	0.0768446
Cheney	0.0768335
"John Danforth"	0.0766519
Feinstein	0.0766422
Vacco	0.0765068
"Biljana Plavsic"	0.0762585
Gephardt	0.0762575
"Edward Kennedy"	0.0760265
"Rick Perry"	0.0756939
"Vicente Fox Quesada"	0.0755639
Megawati	0.0754482
"John Connally"	0.075389
"Lauch Faircloth"	0.0751843
Taft	0.0750778
"Strom Thurmond"	0.0750769
Congressman	0.0749464
"Kay Bailey Hutchison"	0.0749329
Corzine	0.074866
Florio	0.0746888
Torricelli	0.0739899
Yeltsin	0.0739836
"Paul Coverdell"	0.0738805
"Yitzhak Mordechai"	0.0734013
"Hugo Chavez"	0.0733936
"Ted Kennedy"	0.0732777
"William Weld"	0.0730901
"Rudolph Giuliani"	0.0730549
"John F. Kennedy"	0.0730094
challenger	0.0728701
"Ann Richards"	0.0727964
"Daniel Patrick Moynihan"	0.0727154
Kostunica	0.0725179
rival	0.072474
"Rudy Giuliani"	0.072371
Kennedy	0.0717272
Dukakis	0.0712894
"Lowell Weicker"	0.0712115
Obuchi	0.0711138
Hillary	0.0711009
Ventura	0.0710552
Hastert	0.0708263
"Boris Yeltsin"	0.0704671
Ammiano	0.0700261
Democrat	0.0699348
"Robert Bork"	0.0695572
"Barbara Boxer"	0.0693906
Schroeder	0.0687265
"Christie Whitman"	0.0686419
"Donald Trump"	0.0681322
Barak	0.0680979
"Pat Robertson"	0.0678526
"Tony Blair"	0.067742
"Bob Kerrey"	0.0675339
Putin	0.0672586
"Charles E. Schumer"	0.0668847
"Lyndon B. Johnson"	0.0667936
"Eliot Spitzer"	0.0666628
Spitzer	0.0664945
Mondale	0.066385
"John Engler"	0.0662605
"Ehud Barak"	0.0661206
"Horst Koehler"	0.0660418
Speaker	0.0659942
"Andres Pastrana"	0.065951
"Lawrence Summers"	0.0657513
opponent	0.0657281
MacKay	0.0653448
))
("Bob Dylan" (desc 12249.1) (sims
"Elton John"	0.167871
"Jimi Hendrix"	0.162149
Beatles	0.159957
"Bruce Springsteen"	0.1547
"Rolling Stones"	0.150706
"Bonnie Raitt"	0.145679
"Paul McCartney"	0.145311
Dylan	0.136955
"Bob Marley"	0.135384
"Neil Young"	0.13229
"Fleetwood Mac"	0.132185
"Joni Mitchell"	0.128801
"Billy Joel"	0.12586
"Peter Gabriel"	0.125828
"Eric Clapton"	0.124175
"Beach Boys"	0.123676
"Pink Floyd"	0.122826
"Woody Guthrie"	0.122672
"Elvis Presley"	0.122107
Springsteen	0.119872
"Frank Sinatra"	0.116976
"Michael Jackson"	0.116512
"Stevie Wonder"	0.115419
"Hank Williams"	0.114674
"Led Zeppelin"	0.114521
"George Harrison"	0.111693
U@	0.109982
"Johnny Cash"	0.109651
"Jimmy Buffett"	0.109186
"Patti Smith"	0.107977
"Paul Simon"	0.107814
"Billie Holiday"	0.106711
"Willie Nelson"	0.106047
"Whitney Houston"	0.105971
"David Bowie"	0.104874
"Grateful Dead"	0.101604
"Celine Dion"	0.1005
"Don Henley"	0.100417
"Duke Ellington"	0.0999381
"Miles Davis"	0.0996817
"Pete Seeger"	0.0987099
Madonna	0.0961712
"Mick Jagger"	0.095427
"Linda Ronstadt"	0.094737
"Van Morrison"	0.09473
"James Taylor"	0.0936654
"James Brown"	0.0925886
"Phil Collins"	0.0924631
Aerosmith	0.0918824
"Marvin Gaye"	0.0914788
"Nat King Cole"	0.0912288
"Pearl Jam"	0.0900062
"Lou Reed"	0.089554
R.E.M	0.0879778
"George Jones"	0.0872654
"Ray Charles"	0.0865331
"Tom Petty"	0.0864633
"Steely Dan"	0.08562
"John Mellencamp"	0.0854489
"Mariah Carey"	0.0838491
"Janis Joplin"	0.0834566
"John Lennon"	0.0833943
"Sheryl Crow"	0.083167
"Tina Turner"	0.0828745
Cher	0.082819
"Spice Girls"	0.082712
Elvis	0.0826531
Phish	0.082554
"Charlie Parker"	0.0820296
"Buddy Holly"	0.0811924
Sinatra	0.0800144
"Cole Porter"	0.07957
"E Street Band"	0.0788528
"Aretha Franklin"	0.0785529
"Elvis Costello"	0.0783131
"Joan Baez"	0.0781678
Byrds	0.0775465
Ellington	0.0764012
"B.B King"	0.0752826
"Garth Brooks"	0.0752163
"Ricky Martin"	0.0732069
"Jimmy Page"	0.0723276
"Barbra Streisand"	0.0715245
Metallica	0.0711282
Gershwin	0.0710408
Guthrie	0.0710206
"Sarah McLachlan"	0.0709249
"Lauryn Hill"	0.0699781
"Marilyn Manson"	0.0693372
"Judy Garland"	0.0691977
"Carlos Santana"	0.0690699
"Kurt Cobain"	0.0688967
"Black Sabbath"	0.0685998
Motown	0.0684495
"Marlon Brando"	0.0681043
"Britney Spears"	0.0679569
"Little Richard"	0.0672827
"Brian Wilson"	0.0669345
Supremes	0.0666368
"Marilyn Monroe"	0.0662977
Bjork	0.0660714
"N Sync"	0.0660197
Marley	0.0660091
"Ella Fitzgerald"	0.0659464
Yoakam	0.0657249
McCartney	0.065014
"Merle Haggard"	0.0649475
"Sammy Davis Jr."	0.0646795
"John Coltrane"	0.064028
"Backstreet Boys"	0.0634538
"Sex Pistols"	0.0631487
sting	0.0621011
"Shania Twain"	0.0620473
Beck	0.0619655
Eminem	0.0618221
Santana	0.0606945
Blondie	0.0606136
"Randy Newman"	0.0605781
Presley	0.0605324
"Jim Morrison"	0.0601677
"Tom Jones"	0.0597432
"George Gershwin"	0.0594607
"Tony Bennett"	0.0593773
"Beastie Boys"	0.0593406
"Limp Bizkit"	0.0592436
"Bing Crosby"	0.0590797
"Lyle Lovett"	0.0590548
Selena	0.0589721
Korn	0.0586388
"Louis Armstrong"	0.0582241
"Dolly Parton"	0.0578372
"Rod Stewart"	0.0577643
"Kid Rock"	0.057586
"Leonard Bernstein"	0.0569847
"Janet Jackson"	0.0568608
Lennon	0.056796
"Irving Berlin"	0.056413
"Muddy Waters"	0.0563859
"Patsy Cline"	0.0559136
"Alanis Morissette"	0.0558411
"Loretta Lynn"	0.055832
"Bette Midler"	0.0556497
Bono	0.0553859
Sondheim	0.0551315
"Chuck Berry"	0.0547429
"John Belushi"	0.0543194
"Bruce Lee"	0.0541923
Dion	0.0541429
"Robert Johnson"	0.0540117
"Dixie Chicks"	0.053787
"GLORIA ESTEFAN"	0.0537538
Hootie	0.053715
"Van Halen"	0.0535426
"Tracy Chapman"	0.0535125
Beethoven	0.053421
Monkees	0.0534114
"George Strait"	0.0532719
"Tito Puente"	0.0529675
Hendrix	0.052786
"Liza Minnelli"	0.0525376
Manson	0.0523071
"Waylon Jennings"	0.0521697
Liberace	0.0521518
"Lucille Ball"	0.0518972
"Andrea Bocelli"	0.0511393
"Smashing Pumpkins"	0.0510783
"James Dean"	0.0510367
"Dean Martin"	0.0508058
"Steve Earle"	0.0505433
Hanson	0.050516
Schubert	0.0504073
Streisand	0.0503985
"Emmylou Harris"	0.0501918
troubadour	0.0499671
"Diana Ross"	0.0498281
"Count Basie"	0.0490208
"Jerry Garcia"	0.0490131
"George Michael"	0.0490082
musician	0.0487449
Babyface	0.0485403
"Elizabeth Taylor"	0.0483389
Rodgers	0.0476465
composer	0.0476101
"Sonny Bono"	0.0475992
"Sidney Poitier"	0.0475525
Bragg	0.0474979
"Tom Waits"	0.0472286
"Gene Autry"	0.0470964
REM	0.0470283
D'Angelo	0.0468594
"big band"	0.0468164
choir	0.0467996
"Tammy Wynette"	0.0466159
"Jack Nicholson"	0.04641
"Wynton Marsalis"	0.0461994
Bocelli	0.0459885
Puente	0.0459498
"Public Enemy"	0.045844
Reggae	0.0455079
Buffett	0.0451544
))
("Bob Estes" (desc 2157.64) (sims
"Jeff Sluman"	0.258243
"Steve Stricker"	0.228991
"Bob Tway"	0.215867
"Jim Furyk"	0.195379
"Nick Price"	0.185938
"Tom Lehman"	0.183968
"Fred Couples"	0.179998
"Scott Hoch"	0.176287
"Billy Mayfair"	0.175443
"Carlos Franco"	0.175215
"Jay Haas"	0.166087
"Brad Faxon"	0.165096
"Jeff Maggert"	0.161449
"Steve Elkington"	0.160156
"Loren Roberts"	0.15839
"Vijay Singh"	0.155858
"Chris Perry"	0.155827
"Davis Love III"	0.155509
"Hal Sutton"	0.155362
"Corey Pavin"	0.154625
"Payne Stewart"	0.151499
"John Huston"	0.151347
"Justin Leonard"	0.145321
"Mark O'Meara"	0.143929
"Thomas Bjorn"	0.143451
"J.P. Hayes"	0.1429
"Andrew Magee"	0.139998
"Steve Pate"	0.138373
"Paul Azinger"	0.137139
"Lee Janzen"	0.135712
"Phil Mickelson"	0.12826
"Frank Nobilo"	0.128107
"Ernie Els"	0.127017
"Davis Love"	0.123681
"Fred Funk"	0.123018
"Craig Stadler"	0.122455
"Craig Parry"	0.118783
"Stuart Appleby"	0.117589
"Jesper Parnevik"	0.117458
"Tim Herron"	0.117317
"Bill Glasson"	0.115417
"Colin Montgomerie"	0.113858
"Kirk Triplett"	0.113015
"Greg Norman"	0.11258
"Billy Andrade"	0.110437
"Shigeki Maruyama"	0.10753
"Lee Westwood"	0.103509
"Mark Calcavecchia"	0.102221
"John Daly"	0.0975954
"David Duval"	0.0948416
"Larry Mize"	0.0939663
"Bernhard Langer"	0.0933148
"Sergio Garcia"	0.0917381
"Jose Maria Olazabal"	0.0885544
"Curtis Strange"	0.0861871
"Tom Kite"	0.0855864
"Nick Faldo"	0.0852778
"Fuzzy Zoeller"	0.0849041
"Stewart Cink"	0.0833427
"Tom Watson"	0.0828659
"Scott Dunlap"	0.0827395
"Mark Brooks"	0.0824877
O'Meara	0.0822214
Huston	0.0811148
"Miguel Angel Jimenez"	0.0809697
"Brian Watts"	0.0792212
"Steve Jones"	0.0779497
"John Cook"	0.0779151
"Olin Browne"	0.0772906
el	0.0724031
"Scott Verplank"	0.072249
"Bruce Fleisher"	0.0675639
"Rocco Mediate"	0.0661445
Stadler	0.0650574
Magee	0.0649483
Parnevik	0.0644119
Lehman	0.064385
Mickelson	0.0622266
Lawrie	0.061319
"Gil Morgan"	0.0585387
Singh	0.0577084
Chamblee	0.0564691
Waldorf	0.0543027
Bratton	0.0530092
"Jack Nicklaus"	0.052219
"Casey Martin"	0.0520597
"Mike Weir"	0.0514924
"Meg Mallon"	0.0482782
BEGAY	0.0479275
Janzen	0.0468589
Ozaki	0.0456133
"Hale Irwin"	0.0446812
"Se Ri Pak"	0.0444054
"Justin Rose"	0.0443726
"Peter Jacobsen"	0.0442463
"David Frost"	0.0440844
"Raymond Floyd"	0.0434662
Furyk	0.0434253
"Darren Clarke"	0.0431783
"Matt Kuchar"	0.0431717
estes	0.0430017
Elkington	0.0424256
Montgomerie	0.0423712
Gump	0.0419232
"Jim Colbert"	0.0413122
McMichael	0.0412296
Cink	0.0409486
"Paul Lawrie"	0.040867
"Seve Ballesteros"	0.0407169
))
("Bob Feller" (desc 1983.89) (sims
"Don Drysdale"	0.259914
"Sandy Koufax"	0.231094
"Stan Musial"	0.225651
"Tom Seaver"	0.197077
"Juan Marichal"	0.193147
"Warren Spahn"	0.181855
"Bob Gibson"	0.171043
"Nolan Ryan"	0.151036
"Pee Wee Reese"	0.14495
"Honus Wagner"	0.13497
"Jackie Robinson"	0.130435
"Hank Aaron"	0.127908
"Johnny Bench"	0.12704
"Whitey Ford"	0.125563
"Jim Brown"	0.125103
"Vin Scully"	0.114539
"Dwight Gooden"	0.112982
"Willie Mays"	0.111975
"Jaret Wright"	0.111215
"Cy Young"	0.109929
"Joe DiMaggio"	0.109813
"Roberto Clemente"	0.109717
"Mark Langston"	0.109538
"Carl Yastrzemski"	0.108386
"Bartolo Colon"	0.108067
"Ty Cobb"	0.107741
"Eddie Mathews"	0.104473
"Walter Johnson"	0.104304
"Ted Williams"	0.104212
"Yogi Berra"	0.103007
"Hank Greenberg"	0.102311
"Julius Erving"	0.0993144
"Frank Robinson"	0.0982501
"Russ Ortiz"	0.0961053
"Lou Brock"	0.0941498
"Ron Villone"	0.0925578
"Jin Ho Cho"	0.0918131
"Mickey Mantle"	0.0915776
"Orel Hershiser"	0.0895399
"Babe Ruth"	0.0879977
"Sandy Alomar"	0.086836
"Robin Yount"	0.0867775
"Rolando Arrojo"	0.0865631
"George Brett"	0.0862078
"Jason Schmidt"	0.0858898
"Charles Nagy"	0.0846484
"Dave Burba"	0.0845928
"Chuck Finley"	0.0838686
"Eddie Murray"	0.0818296
"Brad Radke"	0.0816111
"Curt Schilling"	0.0807075
"Byung-Hyun Kim"	0.0795381
"Johnny Unitas"	0.0793668
"Duke Snider"	0.0789484
"Jose Mesa"	0.0763384
"Walter Payton"	0.0760066
"Lenny Wilkens"	0.0758783
"STEVE WOODARD"	0.075489
"Mike Schmidt"	0.0740643
"Paul Shuey"	0.073951
"Justin Thompson"	0.0730988
"Ernie Banks"	0.0729635
"Henry Aaron"	0.0728558
"Kerry Wood"	0.0722411
"Mike Hampton"	0.0722409
"Orlando Hernandez"	0.0718698
"Lou Gehrig"	0.0717832
"David Wells"	0.070856
"Freddy Garcia"	0.070775
"Reggie Jackson"	0.0707552
"Greg Maddux"	0.0696713
"Jack McDowell"	0.0689522
"Pete Rose"	0.068707
"John Snyder"	0.0678739
"Joe Morgan"	0.0678738
"Dennis Martinez"	0.0678009
"Octavio Dotel"	0.0677183
"Ryan Dempster"	0.0675542
"Wilt Chamberlain"	0.0665384
D'Amico	0.0656581
"Lothar Matthaeus"	0.0655793
"Gil Heredia"	0.0652502
"Einar Diaz"	0.0651047
"Pat Hentgen"	0.064559
"Jimmie Foxx"	0.0641197
"Terry Bradshaw"	0.0638668
"Matt Kuchar"	0.0635528
"Kevin Brown"	0.0632982
"Tom Candiotti"	0.0632433
"Woody Williams"	0.0631934
"Tony Dorsett"	0.0630509
"Mike Mussina"	0.0629615
"Alex Fernandez"	0.0628295
"Don Sutton"	0.0628138
"Pedro Martinez"	0.0627564
"Aaron Sele"	0.0625181
"Earl Campbell"	0.0623745
"Peter Lynch"	0.0619337
"Jamie Moyer"	0.0613272
"Brian Moehler"	0.0613062
"Carlton Fisk"	0.061285
"Scott Williamson"	0.0612158
"Alan Embree"	0.0611326
"Johan Cruyff"	0.0609625
"Esteban Loaiza"	0.0609025
"Jon Lieber"	0.0605573
"Jose Jimenez"	0.0603501
"Martina Navratilova"	0.0602988
"Franz Beckenbauer"	0.0602436
"Brett Hinchliffe"	0.0602325
"Hideo Nomo"	0.0602118
"Kenny Lofton"	0.0601898
"Mike Jackson"	0.0598369
Gehrig	0.059829
"Bobby Orr"	0.0594626
"Billy Martin"	0.0589866
"John Burkett"	0.0589446
"Hidetoshi Nakata"	0.0588547
"Joe Namath"	0.0587115
"Bill Pulsipher"	0.0585489
"Manny Ramirez"	0.0584554
"Greg Swindell"	0.0584175
Pele	0.0579701
"Terry Mulholland"	0.0579044
"Carl Pavano"	0.0578738
"Alexandra Stevenson"	0.0578
"Paul Byrd"	0.0577028
"Larry Bird"	0.0570684
"Wade Boggs"	0.0570678
"Scott Schoeneweis"	0.0570658
"Javier Vazquez"	0.0569262
"Steve Avery"	0.0568821
"Roberto Alomar"	0.0565981
"Dave Mlicki"	0.0562147
"Ed Yarnall"	0.0562089
"Kevin McGlinchy"	0.0561947
"Brian Bohanon"	0.0561402
team.	0.0559621
"Magic Johnson"	0.0556926
"David Cone"	0.0553084
"GERONIMO BERROA"	0.0553053
"Steve Largent"	0.0552462
"Francisco Cordova"	0.0547131
"Vladimir Nunez"	0.0544008
"Ramon Martinez"	0.054278
"Roger Clemens"	0.0542356
"Odalis Perez"	0.0541429
"Jeff Fassero"	0.0541273
"Brett Tomko"	0.0539177
"John Smoltz"	0.0539024
"Lawrence Taylor"	0.0538088
"Rheal Cormier"	0.0537766
"Ramon Ortiz"	0.05362
"Matt Morris"	0.0533638
"Omar Olivares"	0.0531932
Waldner	0.0530078
"Bobby Charlton"	0.0528226
"Todd Stottlemyre"	0.0527378
"Steve Trachsel"	0.0527148
"Ruud Gullit"	0.0525829
"Inge de Bruijn"	0.0524442
"Omar Daal"	0.0520729
"Bobby Jones"	0.0520636
"Steve Garvey"	0.0519826
"Ken Cloude"	0.0519809
"Travis Fryman"	0.0519473
"Steve Parris"	0.0519378
"Kenny Rogers"	0.0518966
"Yao Ming"	0.051705
"Ozzie Newsome"	0.0515114
"Jim Bunning"	0.0514296
"Jim Thome"	0.0513308
Berra	0.0511093
Musial	0.0510042
"Dara Torres"	0.0509872
"Jeff Weaver"	0.0509353
"Tim Hudson"	0.0508388
"Mike Magnante"	0.0508096
"Alberto Tomba"	0.050773
"Joey Hamilton"	0.0504307
Hershiser	0.0504222
"Paul Molitor"	0.0503341
"Troy Percival"	0.0502433
"Jason Grimsley"	0.0501999
"Kent Bottenfield"	0.050092
"Wilson Alvarez"	0.0499438
"Robb Nen"	0.0499271
"Scott Karl"	0.0499015
"DOUG JONES"	0.0498213
"Scott Radinsky"	0.0497739
"Mark Portugal"	0.0496206
"Mike Timlin"	0.0495586
"Carlos Perez"	0.0495412
hurler	0.0494706
"Brian Rose"	0.0493885
"Little Richard"	0.049301
"Derrick Thomas"	0.0492867
"Anita Wachter"	0.0492705
"Karch Kiraly"	0.0492313
"John Wooden"	0.0490976
))
("Bob Fosse" (desc 2081.97) (sims
"Susan Stroman"	0.199468
"Jerome Robbins"	0.17233
"Stephen Sondheim"	0.121912
Fosse	0.104911
Hammerstein	0.100274
"Andrew Lloyd Webber"	0.0956245
"Sam Mendes"	0.0947652
"Merce Cunningham"	0.0825749
"George Balanchine"	0.0820215
Balanchine	0.0817593
Sondheim	0.0811643
"Martha Graham"	0.0800025
"Paul Taylor"	0.0789672
"Lloyd Webber"	0.0759694
Robbins	0.0755161
"costume designer"	0.0717446
"Fred Astaire"	0.069786
"Irving Berlin"	0.0684842
"stage director"	0.0664834
choreographer	0.0660968
Faison	0.0652152
"Wild Party"	0.0646049
"ballet dancer"	0.06312
Selena	0.0596715
"Cole Porter"	0.0592046
"Leonard Bernstein"	0.0586498
O's	0.0579892
knucklehead	0.0578935
"Paul Robeson"	0.0522806
flapper	0.0521789
Houdini	0.0517877
distinctiveness	0.0512823
crooner	0.0507317
classicist	0.0505287
Bourne	0.0502553
"chorus line"	0.0498606
"Doak Walker"	0.0497446
"Walter Payton"	0.0492099
"Roberto Clemente"	0.0491769
"swing music"	0.0489583
"Robert Shaw"	0.0486526
"leading lady"	0.0485862
"Quentin Tarantino"	0.048214
"belly dancer"	0.0482089
"Reggie Lewis"	0.0481915
bicentennial	0.0476755
thespian	0.0476304
"Leon Hess"	0.0475191
co-writer	0.0473456
"Robert Wilson"	0.0470425
Bjork	0.0469326
"William Randolph Hearst"	0.0467609
Forsythe	0.0456679
"Nora Ephron"	0.0456623
"Frank Sinatra"	0.0453575
"Chinese Lunar New Year"	0.0453427
"World Environment Day"	0.0453265
"Edmund Morris"	0.0452898
"third millennium"	0.0452034
blowfish	0.0451302
"Betty Comden"	0.0450489
student-athlete	0.0445905
"Kung Fu"	0.0445482
"Yankee Clipper"	0.0437936
"Pedro Almodovar"	0.043358
Panchen	0.0432868
Nijinsky	0.0431902
mime	0.0430238
"HOWARD COSELL"	0.0426216
Solondz	0.0419225
lyricist	0.0418735
"Earth Day"	0.0417856
"Tim Burton"	0.041743
"Chinese New Year"	0.0416047
"Act II"	0.0416038
Tucci	0.0414826
"CHARLES SCHULZ"	0.0414708
"Stanley Kubrick"	0.0413985
"David Mamet"	0.0413531
"Jackie Chan"	0.0412907
Gielgud	0.0412635
individualist	0.0410093
"song and dance"	0.0406974
"Tito Puente"	0.04044
scriptwriter	0.0401838
"Judy Garland"	0.0401532
innovator	0.0401451
))
("Bob Franks" (desc 3129.49) (sims
"Marge Roukema"	0.285936
"Christopher Smith"	0.221785
"Tom Campbell"	0.202069
"Linda Smith"	0.196047
"Rick Lazio"	0.190272
"Dan Lungren"	0.190104
"Jim Kolbe"	0.187271
"Peter King"	0.170158
"Vojislav Kostunica"	0.163444
"Alejandro Toledo"	0.162682
"Garry Mauro"	0.161251
"Chris Smith"	0.158795
"Guy Millner"	0.151619
"Jack Kemp"	0.144346
"Matt Fong"	0.139609
"Charles E. Schumer"	0.139467
"Jim Florio"	0.13831
"Geraldine Ferraro"	0.134413
"Bernard Sanders"	0.134164
"Vicente Fox Quesada"	0.134126
"J.C. Watts"	0.133197
"Robert Menendez"	0.132931
"Matt Salmon"	0.131293
"Peter Vallone"	0.128684
"Tom Coburn"	0.128628
"Charles Schumer"	0.12799
"Bill McCollum"	0.127628
"Francisco Labastida Ochoa"	0.127313
"Nancy Johnson"	0.126859
"Francisco Labastida"	0.124863
"Christine Todd Whitman"	0.124609
"Mark Sanford"	0.123098
"Christopher Cox"	0.12207
"Scott Harshbarger"	0.118858
"Jack Kingston"	0.118394
"John Hagelin"	0.118289
"Amo Houghton"	0.116524
"Lamar Smith"	0.11616
"Jack Quinn"	0.11569
"Lindsey Graham"	0.11452
"Jon Corzine"	0.114241
"John Rowland"	0.113425
"Dan Burton"	0.112967
"Betsy McCaughey Ross"	0.112708
"Henry Bonilla"	0.112325
"Mark Foley"	0.110184
"Dan Miller"	0.11009
"Mark Green"	0.109568
"Steve Largent"	0.108278
"Don Young"	0.107145
"Greg Ganske"	0.105664
"Barry Goldwater"	0.104157
"Sherwood Boehlert"	0.102505
"Christopher Shays"	0.101963
"Dick Cheney"	0.101424
"Barney Frank"	0.101415
"Bob Barr"	0.101388
"Asa Hutchinson"	0.101373
"Curt Weldon"	0.101368
"Fred Upton"	0.100696
"Steve Forbes"	0.100495
"Jim Bunning"	0.10041
"Rick White"	0.10013
"George McGovern"	0.0999428
"Vicente Fox"	0.0998302
"Buddy MacKay"	0.0995986
"Tony Coelho"	0.0993436
"Jim Leach"	0.0984927
"Bill Bradley"	0.0979927
"Jose Serrano"	0.09748
"Alan Keyes"	0.0967175
"Martin Meehan"	0.0965224
"Elizabeth Dole"	0.095968
"Ron Paul"	0.0957398
"Bill Thomas"	0.0954838
"Michael Forbes"	0.0953928
"John Kasich"	0.0950901
"George Miller"	0.0949637
"David Dreier"	0.0948889
"Bob Dole"	0.0935717
"John Linder"	0.0931557
"Michael Dukakis"	0.092606
"Robert Torricelli"	0.0921879
"Charles Rangel"	0.0920511
"John Anderson"	0.0916493
"Patrick Buchanan"	0.0911563
"Tommy Thompson"	0.0907929
"Roy Barnes"	0.0903309
"Bob Smith"	0.0901461
"Frank Lautenberg"	0.0895665
"Patrick Kennedy"	0.088783
"Bill Archer"	0.0885324
"Porter Goss"	0.0885214
"Ralph Nader"	0.0881879
"Mike DeWine"	0.0879916
"Pat Buchanan"	0.087756
"Charlie Norwood"	0.0869463
"Christie Whitman"	0.086701
"Benjamin Gilman"	0.0865737
"John Boehner"	0.0863321
"Gray Davis"	0.0859018
"James Sensenbrenner"	0.0857701
"Connie Mack"	0.0857426
"Susan Molinari"	0.0857352
"Gennady Zyuganov"	0.0856707
"Marc Racicot"	0.0855689
"Lee Hamilton"	0.0853271
"Lauch Faircloth"	0.0847726
"James Rogan"	0.0844793
"Jim Turner"	0.0843252
Paulson	0.0841177
"Sheila Jackson Lee"	0.0830954
"Charles Canady"	0.0829712
"Nita Lowey"	0.0811745
"Jerrold Nadler"	0.0803999
"Gary Bauer"	0.0803996
"Lamar Alexander"	0.0803059
"Rudolph Giuliani"	0.0800014
"Sue Kelly"	0.0799564
"John Sweeney"	0.0799384
"Tillie Fowler"	0.0796259
"Kit Bond"	0.0795789
"John Lewis"	0.0795341
"William Weld"	0.0794363
"Jeb Bush"	0.0787467
"Ed Bryant"	0.0784946
"Kay Bailey Hutchison"	0.0781985
"Paul Coverdell"	0.0774734
"Rick Perry"	0.0773818
"Nancy Pelosi"	0.0772702
"Lloyd Doggett"	0.0772444
"Rick Santorum"	0.077095
"Martin Frost"	0.0770194
"Mary Bono"	0.0766377
"Jim Gilmore"	0.0765144
"Maxine Waters"	0.0762483
"Hillary Rodham Clinton"	0.0761804
"Jim Hodges"	0.0760807
"Orrin Hatch"	0.075796
"Bob Livingston"	0.0757806
"Henry Waxman"	0.0756592
"Tom DeLay"	0.0756309
"John Conyers"	0.0755111
"Tom Davis"	0.0752694
"John G. Rowland"	0.0747261
"George Ryan"	0.0742039
"George Gekas"	0.0741431
"Carolyn McCarthy"	0.0733364
"Eliot Spitzer"	0.0732024
"Phil Gramm"	0.0728092
"Arlen Specter"	0.0727086
"Billy Tauzin"	0.0722791
"John Dingell"	0.0722604
"George Nethercutt"	0.072218
"David Beasley"	0.071548
"Richard Gephardt"	0.0714878
"Jim McDermott"	0.0710422
"Ricardo Lagos"	0.0705044
"Joseph Lieberman"	0.0704664
"James Soong"	0.0701599
franks	0.0698154
"Sam Brownback"	0.0695947
"Peter Fitzgerald"	0.0693193
"John Ashcroft"	0.0690703
"Fred Thompson"	0.0688679
"Robert Livingston"	0.0685108
"Spencer Abraham"	0.0680847
"Mitch McConnell"	0.067984
"Connie Morella"	0.0677493
"Yitzhak Mordechai"	0.0674976
"Ted Stevens"	0.0671732
Tauzin	0.0671657
"Jon Kyl"	0.0668485
"Joseph I. Lieberman"	0.0667026
"Joseph Bruno"	0.0655209
"Mike Foster"	0.0652072
"George Pataki"	0.0641708
"Dennis Vacco"	0.0640087
"John Engler"	0.0639293
"Cuauhtemoc Cardenas"	0.0637886
"Frank Luntz"	0.0636694
Kyl	0.0634967
"Pete Wilson"	0.0624302
"Bill Owens"	0.0624296
"Steve Chabot"	0.0618029
"Joe Lieberman"	0.0617137
Millner	0.0616571
"Barbara Boxer"	0.0614265
"Shimon Peres"	0.0613493
"Walter Mondale"	0.061335
"Gordon Smith"	0.0612586
"Jennifer Dunn"	0.0609213
"Patrick J. Buchanan"	0.0607702
"Medical Society"	0.0605071
"Megawati Sukarnoputri"	0.0602395
"Loretta Sanchez"	0.0598575
"Jesse Helms"	0.0596482
"Dennis Hastert"	0.0592519
"Henry Hyde"	0.0592389
"Bob Graham"	0.0591475
))
("Bob Gibson" (desc 2741.31) (sims
"Sandy Koufax"	0.282756
"Warren Spahn"	0.262048
"Steve Carlton"	0.23057
"Walter Johnson"	0.196261
"Roberto Clemente"	0.181227
"Stan Musial"	0.179228
"Nolan Ryan"	0.175254
"Bob Feller"	0.171043
"Juan Marichal"	0.157575
"Don Drysdale"	0.151916
"Willie Mays"	0.147044
"Tom Seaver"	0.142166
"Cy Young"	0.137979
"Ty Cobb"	0.132416
"Eddie Mathews"	0.125074
"Whitey Ford"	0.122555
"Honus Wagner"	0.112452
"Hank Greenberg"	0.111615
"Carl Yastrzemski"	0.109628
"Orlando Cepeda"	0.104517
"Robin Yount"	0.100075
"Dennis Martinez"	0.0999464
"Yogi Berra"	0.0970737
"Don Sutton"	0.0962384
"Duke Snider"	0.0953393
"Mike Schmidt"	0.0946445
"Greg Maddux"	0.0932694
"Hank Aaron"	0.0836029
"Jim Brown"	0.0818765
"Jackie Robinson"	0.0798452
"Steve Garvey"	0.0796312
Koufax	0.0790055
"George Brett"	0.0778316
"Orlando Hernandez"	0.075548
"Dennis Eckersley"	0.0741798
Marichal	0.0741503
"Dave Winfield"	0.073827
"Ted Williams"	0.0724957
"Jack McDowell"	0.0711267
"Ernie Banks"	0.0702254
"Randy Johnson"	0.0700963
"John Smoltz"	0.0695221
Mahomes	0.0671944
Hentgen	0.0659618
"Big Unit"	0.0659354
"Pedro Martinez"	0.0645654
"Babe Ruth"	0.0637221
"Pat Hentgen"	0.060334
"Kerry Wood"	0.0600798
"Johnny Bench"	0.0598029
"David Cone"	0.0586554
"Jim Bunning"	0.0578542
"Rickey Henderson"	0.0575989
"Frank Robinson"	0.0574806
Herges	0.0573656
"Tom Glavine"	0.0571115
Grimsley	0.057066
"Matt Morris"	0.0566548
"Eric Milton"	0.0566236
"La Russa"	0.0552401
"Orel Hershiser"	0.0550792
"Vin Scully"	0.0543481
"Carlton Fisk"	0.0542182
Pavano	0.0541192
"Joe DiMaggio"	0.0541122
Checo	0.053918
"Craig Paquette"	0.0529525
Grbac	0.0521311
"Henry Aaron"	0.0520561
"Kevin Brown"	0.0518529
"Roger Clemens"	0.0517489
"Andy Pettitte"	0.0515479
Astacio	0.0513592
Hermanson	0.0510591
"Javier Vazquez"	0.0505788
"Jason Grimsley"	0.0503273
Mantei	0.0500079
Dempster	0.0499252
"Dwight Gooden"	0.0497841
"Octavio Dotel"	0.0491352
"Russ Ortiz"	0.0490496
"Ramiro Mendoza"	0.0490109
"Scott Erickson"	0.0490074
"Pee Wee Reese"	0.0489485
"Hideki Irabu"	0.0489115
"Barry Bonds"	0.0487017
Dotel	0.0482038
"first pitcher"	0.0480707
Millwood	0.0472469
"Mickey Mantle"	0.0472017
Vazquez	0.0471285
curveballs	0.0471143
"Denny Neagle"	0.0469798
Drysdale	0.0461361
Borbon	0.0455024
"Terry Mulholland"	0.045355
Suppan	0.0449496
Etherton	0.0446584
"Paul Molitor"	0.0446446
Perisho	0.0445402
"Tom Lasorda"	0.0444159
Rusch	0.0440764
"Terry Adams"	0.0439744
"Ugueth Urbina"	0.0439427
Gagne	0.0436917
Heredia	0.0436786
"John Wooden"	0.0435919
Garces	0.0433566
Neagle	0.043222
Petkovsek	0.0425078
"Gregg Olson"	0.0423654
Snider	0.0423091
"Chili Davis"	0.0420929
"Eddie Murray"	0.0420053
Mays	0.0419075
"Jay Powell"	0.0418127
"Robinson Checo"	0.0416538
Halama	0.041653
"Brad Radke"	0.0412997
Ankiel	0.0411897
Mlicki	0.0408689
"Kevin Millwood"	0.0406135
"Darryl Kile"	0.0405503
Helling	0.0404606
Nagy	0.0404228
Rapp	0.0402818
"Wade Boggs"	0.0401585
Kamensky	0.0401251
))
("Bob Graham" (desc 5633.37) (sims
"John Kerry"	0.264078
"Bob Kerrey"	0.258279
"Evan Bayh"	0.247461
"John Edwards"	0.22906
"Paul Wellstone"	0.228542
"Patrick Leahy"	0.222069
"Christopher Dodd"	0.210837
"Byron Dorgan"	0.21003
"Tom Harkin"	0.205641
"John Breaux"	0.203514
"Robert Torricelli"	0.200182
"Frank Lautenberg"	0.198993
"Connie Mack"	0.193921
"Joseph I. Lieberman"	0.187955
"Richard Durbin"	0.18771
"Robert Byrd"	0.186698
"Dianne Feinstein"	0.184858
"Charles Schumer"	0.18146
"Kay Bailey Hutchison"	0.181106
"Jon Kyl"	0.179702
"Russell Feingold"	0.177859
"Ernest Hollings"	0.177252
"Olympia Snowe"	0.177051
"Barbara Boxer"	0.17668
"Daniel Patrick Moynihan"	0.176404
"Dick Durbin"	0.170674
"Susan Collins"	0.167924
"Robert C. Byrd"	0.167212
"Harry Reid"	0.166241
"Don Nickles"	0.165672
"Joseph Lieberman"	0.165174
"Carl Levin"	0.164945
"Arlen Specter"	0.16476
"Mary Landrieu"	0.164233
"Pete Domenici"	0.161338
"Joseph Biden"	0.159772
"Phil Gramm"	0.15844
"Paul Coverdell"	0.157893
"Patty Murray"	0.153763
"Max Baucus"	0.152789
"Charles Grassley"	0.152025
"Edward M. Kennedy"	0.15141
"Charles Robb"	0.150021
"James Jeffords"	0.147182
"Mark Foley"	0.147107
"Richard Shelby"	0.142931
"John Chafee"	0.14254
"Bill Frist"	0.141537
"Barbara Mikulski"	0.139611
"Peter Fitzgerald"	0.13898
"Judd Gregg"	0.13735
"Richard Bryan"	0.136528
"Ben Nighthorse Campbell"	0.134513
"Edward Kennedy"	0.134451
"Herb Kohl"	0.133875
"Olympia J. Snowe"	0.133189
"Fred Thompson"	0.133137
"Tom Daschle"	0.13233
"Russ Feingold"	0.132303
"Ted Kennedy"	0.131515
"Ron Wyden"	0.131249
"Charles E. Schumer"	0.130923
"Warren Rudman"	0.130582
"Mike DeWine"	0.130307
"Max Cleland"	0.129919
"Sam Brownback"	0.129091
"Spencer Abraham"	0.128934
D-Conn.	0.128565
"Slade Gorton"	0.127826
"John Ashcroft"	0.127696
"Dan Coats"	0.127354
"Richard Lugar"	0.127306
"Jim Jeffords"	0.126395
"Mitch McConnell"	0.125559
"Orrin Hatch"	0.125321
"George Mitchell"	0.125099
"Larry Craig"	0.124162
"Ted Stevens"	0.124121
"Gordon Smith"	0.119506
"Kit Bond"	0.119236
"Jeanne Shaheen"	0.119193
"Chuck Hagel"	0.117882
"Jesse Helms"	0.117651
"Blanche Lincoln"	0.117299
"Frank Murkowski"	0.115952
"Tillie Fowler"	0.114296
"Sheila Jackson Lee"	0.11419
"Sam Nunn"	0.113293
"Rick Santorum"	0.112672
"Bill McCollum"	0.109329
"Dale Bumpers"	0.10886
D-Mass.	0.108725
"Christopher Shays"	0.107012
"Bob Smith"	0.106536
Gramm	0.105285
"Robert Bennett"	0.105141
"Joe Lieberman"	0.104647
"John Warner"	0.103853
"John Dingell"	0.103235
"William Roth"	0.103032
"John Danforth"	0.102637
"George Voinovich"	0.102456
"Strom Thurmond"	0.102128
"Kent Conrad"	0.101153
"House Majority Whip Tom DeLay"	0.0987515
"Gary Hart"	0.0986377
"John Conyers"	0.0975414
D-Vt.	0.0933976
"Lamar Smith"	0.0930017
"Charles Rangel"	0.0925009
"Thad Cochran"	0.0915065
"Howard Baker"	0.091402
R-Tenn.	0.090859
"Pat Roberts"	0.0906758
"Lloyd Bentsen"	0.0906118
"Richard Gephardt"	0.0905028
"Lauch Faircloth"	0.0904818
"Nancy Johnson"	0.0890006
"Jeff Sessions"	0.088932
"Rod Grams"	0.0887335
"Bill Thomas"	0.0879164
"Charlie Norwood"	0.0875922
"Craig Thomas"	0.0872541
R-Utah	0.0862391
"James Inhofe"	0.0859105
"Tim Johnson"	0.0856626
"Trent Lott"	0.0854866
"Jim Hunt"	0.085422
"Henry Waxman"	0.0851106
"Dan Miller"	0.0845692
"Jim Bunning"	0.0828423
"Tom Hayden"	0.0825879
"Wayne Allard"	0.0825805
"John G. Rowland"	0.0818941
D-N.J.	0.0817119
"J.C. Watts"	0.0810604
"George Miller"	0.0809914
"Tim Hutchinson"	0.0798861
"Richard Blumenthal"	0.0797595
Kerry	0.0793218
"Jim Hodges"	0.0788791
"Lawton Chiles"	0.0785868
"John McCain"	0.078447
"Zell Miller"	0.0784362
"William Bennett"	0.0776097
Helms	0.0775125
"Paul Patton"	0.0774304
"Gray Davis"	0.0772714
Harkin	0.0769668
"Carolyn McCarthy"	0.0764562
"Barry Goldwater"	0.0759009
hatch	0.0758572
"George Nethercutt"	0.0758135
Feinstein	0.0752286
R-Ariz.	0.075225
"Charles Canady"	0.0751374
"Jennifer Dunn"	0.0751018
Moynihan	0.0748946
"Tom Campbell"	0.0746812
"Robert F. Kennedy"	0.0746665
"Conrad Burns"	0.0745924
"Jose Serrano"	0.07457
"Jim Leach"	0.0743831
"Matt Salmon"	0.0737731
"Carolyn Maloney"	0.0735859
R-Ala.	0.0734118
D-Neb	0.0724382
"Alfonse D'Amato"	0.0717553
"Lee Hamilton"	0.071435
"Jim Gilmore"	0.0710729
"Christopher Smith"	0.070786
"Bill Archer"	0.0701282
Daschle	0.0698344
"Mark Sanford"	0.0694367
"George Pataki"	0.0692881
Wexler	0.0692856
"Jeb Bush"	0.0689971
"Majority Whip Tom DeLay"	0.0686408
Dewine	0.0685955
"Orlando Mercado"	0.0683747
Lott	0.0680661
"Paul Tsongas"	0.067592
"Steve Largent"	0.0675206
"John Conyers Jr."	0.0674311
congressmen	0.0673431
Pelosi	0.067063
"Mel Carnahan"	0.0664052
Markey	0.0663157
Rendell	0.0663152
Wilhelm	0.0661455
"Bill Bradley"	0.065779
D-Fla.	0.065557
McConnell	0.0655334
Ashcroft	0.0653625
"Lincoln Chafee"	0.0653297
"David Bonior"	0.0647118
"Tom DeLay"	0.0642088
"Bob Barr"	0.0639789
"Robert Smith"	0.0636917
Bayh	0.0636688
))
("Bob Herbert" (desc 2150.61) (sims
"Anthony Lewis"	0.40755
"Gail Collins"	0.385414
"William Safire"	0.330201
"Maureen Dowd"	0.317395
"Thomas L. Friedman"	0.305092
"Frank Rich"	0.255759
"Paul Krugman"	0.21929
"A.M. Rosenthal"	0.191298
"Joe Murray"	0.100073
Herbert	0.096695
"George Will"	0.0788518
emphases	0.0727363
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0668108
Rudman	0.0648701
"Arianna Huffington"	0.0598423
Barbour	0.0596333
rapporteur	0.056351
"Greek Orthodox Church"	0.055456
"Mike Barnicle"	0.0546607
"Evangelical Lutheran Church"	0.053896
"Secretary General Esmat Abdel-Meguid"	0.0536875
"Beijing Declaration"	0.0533539
"Sartaj Aziz"	0.0533488
"theater critic"	0.0529143
"Secretary General Esmat Abdul-Meguid"	0.0521658
Epstein	0.0512336
oration	0.0511657
"Orthodox Church"	0.0503397
postmortem	0.0497292
"Joint Liaison Group"	0.0495757
Theroux	0.0492455
outspokenness	0.049058
Yosef	0.0490122
Menchu	0.0481078
"crossword puzzle"	0.048003
Finkel	0.0475279
"United Nations Convention"	0.0470846
"Ted Koppel"	0.0464582
Merlino	0.0464083
"Ricardo Alarcon"	0.0453375
"Bruce Teitelbaum"	0.0450779
"Patricia Smith"	0.0448458
"Prince Saud Al-Faisal"	0.0448238
McManus	0.0448142
Shamshad	0.0445659
Cooley	0.044541
Hersh	0.0444443
"Tareq Aziz"	0.0441482
Klima	0.0439975
Dewine	0.043813
"Emily Dickinson"	0.043536
Noonan	0.0433043
Lessig	0.0432092
Maritz	0.0426403
"Patrick J. Buchanan"	0.0426086
"Elyakim Rubinstein"	0.0421123
reticence	0.0417941
Weiner	0.0417092
"Russian Orthodox Church"	0.041707
Spyglass	0.0416893
rehearing	0.0416545
"National Commission"	0.041556
Fernandes	0.041432
Heyward	0.0412763
"Tom Wolfe"	0.0411306
Lind	0.0410897
"E.L Doctorow"	0.0410011
"Sino-British Joint Declaration"	0.0409495
Insulza	0.040908
"Sino-British Joint Liaison Group"	0.0401965
"Sino-Portuguese Joint Declaration"	0.0400603
))
("Bob Hope" (desc 4174.14) (sims
"Lucille Ball"	0.155798
"George Burns"	0.154397
"Judy Garland"	0.134683
"James Cagney"	0.119951
"Frank Sinatra"	0.118718
"Lana Turner"	0.117495
"Ed McMahon"	0.113849
"Humphrey Bogart"	0.113415
"Bing Crosby"	0.112767
"Milton Berle"	0.111974
"Spencer Tracy"	0.111834
"Errol Flynn"	0.11073
"Bill Cosby"	0.108117
"Cary Grant"	0.106784
"Barbra Streisand"	0.104712
"Jerry Lewis"	0.104422
"Gary Cooper"	0.10416
"John Wayne"	0.102715
"Marilyn Monroe"	0.100857
"Greta Garbo"	0.099537
"Marx Brothers"	0.0950571
"James Stewart"	0.0944173
"Gene Autry"	0.0931006
"Kirk Douglas"	0.0907476
"Clark Gable"	0.0878286
"David Spade"	0.0870121
"John Ford"	0.0859026
"Tony Bennett"	0.0831723
"Bette Davis"	0.0828771
"Elizabeth Taylor"	0.0824731
"Marlon Brando"	0.082191
"Clint Eastwood"	0.0815127
"Jack Benny"	0.081389
"Mel Brooks"	0.0794654
"Harry Belafonte"	0.0785187
"Dean Martin"	0.0782868
"Grace Kelly"	0.0776111
"James Dean"	0.0774806
"Gregory Peck"	0.0764703
"Katharine Hepburn"	0.075452
"Stanley Kubrick"	0.072776
"Frank Capra"	0.0723416
"Chris Rock"	0.0720688
"Alfred Hitchcock"	0.0698981
"Martin Lawrence"	0.0698723
"Arnold Schwarzenegger"	0.0695717
"Joan Crawford"	0.0690455
"Orson Welles"	0.0688522
"Burt Lancaster"	0.0682552
"Adam Sandler"	0.0670462
"Joan Rivers"	0.0665041
Zapruder	0.0646667
"Jerry Seinfeld"	0.0646201
"Fred Astaire"	0.0645879
"Vivien Leigh"	0.0635512
"John Belushi"	0.0627838
"Whoopi Goldberg"	0.0619883
"Jon Stewart"	0.0618796
"Nat King Cole"	0.0618204
"Richard Burton"	0.061749
"Howard Hughes"	0.0617173
"Miles Davis"	0.0611927
"Jackie Chan"	0.0611095
"Groucho Marx"	0.0611065
"Steve Allen"	0.0606106
"Sonny Bono"	0.0603276
"George Carlin"	0.0600355
"Charlton Heston"	0.0599148
"Audrey Hepburn"	0.0595193
"Charles Lindbergh"	0.0594663
"Elvis Presley"	0.059213
"Irving Berlin"	0.0589546
"Richard Gere"	0.0588475
"Josephine Baker"	0.0588328
"Jim Carrey"	0.0587435
"Charlie Chaplin"	0.0586869
"Al Franken"	0.05815
"Tracey Ullman"	0.0580779
"Mike Myers"	0.0574726
"Eddie Murphy"	0.0573333
"Norm MacDonald"	0.0571177
"Leonardo DiCaprio"	0.056488
"Marlene Dietrich"	0.0562357
"Jason Alexander"	0.0561486
"Ella Fitzgerald"	0.0557119
"Woody Allen"	0.0556736
"Chevy Chase"	0.0556375
"Van Dyke"	0.0556001
"Jack Nicholson"	0.0553749
"Jimmy Stewart"	0.0549506
"Catherine Deneuve"	0.0549291
"Peter Lynch"	0.0543154
"Meryl Streep"	0.05419
"Albert Brooks"	0.0541196
"Drew Carey"	0.0539432
"Billy Crystal"	0.0531415
"John Waters"	0.0528555
"Pierce Brosnan"	0.0527164
"Johnny Carson"	0.0522723
"Billie Holiday"	0.0520176
"Garry Shandling"	0.0519481
Costner	0.0518258
"Muhammad Ali"	0.0517125
"John Cleese"	0.0517012
"AL PACINO"	0.0512398
Cher	0.050953
"Winston Churchill"	0.0506134
"David Lynch"	0.0506096
"Tim Allen"	0.0505248
"Louis Armstrong"	0.0504848
"Henry Fonda"	0.0503924
Masire	0.0503859
Liberace	0.0497429
"Steve Martin"	0.0497185
Spielberg	0.0494807
"Sidney Poitier"	0.0494539
"Hamlet Cup"	0.049447
"Jacqueline Kennedy"	0.0492874
"Franz Beckenbauer"	0.0491467
"Roy Rogers"	0.0491058
Schwarzenegger	0.049055
"Albert Einstein"	0.0489457
"Lone Ranger"	0.0486983
"Bette Midler"	0.0486536
"Indiana Jones"	0.0484845
"Carol Burnett"	0.0484528
"Robin Williams"	0.0484498
"Jeremy Irons"	0.0483049
"Rosa Parks"	0.0476639
"Ava Gardner"	0.0475593
RuPaul	0.0475334
"Duke Ellington"	0.0473209
"Steven Spielberg"	0.0470187
"Princess Anne"	0.0469831
"J. Edgar Hoover"	0.0469387
"Wesley Snipes"	0.0467483
"Keanu Reeves"	0.0467155
"Lauren Bacall"	0.0466769
"Arnold Palmer"	0.0466118
"William Hurt"	0.0465818
"Canadian Open"	0.0464608
"Ben Stiller"	0.0464347
"Liza Minnelli"	0.0461848
"George Bernard Shaw"	0.0460452
Beatty	0.0460432
"Jay Leno"	0.0460365
DiCaprio	0.045469
"Jimmy Buffett"	0.0454363
"Benny Goodman"	0.0453696
Berle	0.0453212
Kubrick	0.0452176
"James Earl Jones"	0.0451541
"Steve McQueen"	0.0451145
"Ellen DeGeneres"	0.0446174
Kurosawa	0.0445578
"Stanley Tucci"	0.0444819
"U.S. Senior Open"	0.0444653
"Jay Mohr"	0.0443784
"Paul Newman"	0.0443688
"Stockholm Open"	0.0440527
"Dennis Miller"	0.0440224
Muoi	0.0439992
Fellini	0.0436654
"Denis Leary"	0.043519
"Yankee Clipper"	0.0432962
"Rosie O'Donnell"	0.0430905
"W.C. Fields"	0.0430848
"Martin Scorsese"	0.043078
Wiseman	0.0429498
"Gene Kelly"	0.0428497
"Joe DiMaggio"	0.042705
Coen	0.0426632
"Garth Brooks"	0.0425635
"Sylvester Stallone"	0.042482
"Mother Teresa"	0.0424697
"German Open"	0.0422611
"Tom Cruise"	0.0421721
"Bob Feller"	0.0420996
"Jessica Lange"	0.0418751
"Jodie Foster"	0.0418447
"Sammy Davis Jr."	0.0417585
"Bob Dylan"	0.0416467
"Jimmy Smits"	0.0416375
"Rat Pack"	0.0416037
"Lethal Weapon"	0.0415816
"Hong Kong Open"	0.0414989
"this @@@@"	0.0414664
"Dustin Hoffman"	0.0414023
"Ally Sheedy"	0.0413845
Cleese	0.0413628
Pryor	0.041338
"Walt Disney"	0.041331
"Jack Lemmon"	0.0413197
Custer	0.0412387
"Warren Beatty"	0.0412364
"Karl Marx"	0.0411736
Cosby	0.0409996
"Roberto Benigni"	0.040986
"Will Smith"	0.0409708
"Home Run Derby"	0.0409321
))
("Bob Jones" (desc 3193.3) (sims
"Bob Jones University"	0.229841
"National Press Club"	0.100077
Clinton-Lewinsky	0.0824
Iran-contra	0.0722232
"Maple Leaf Gardens"	0.0616018
UGA	0.0612711
"West Point"	0.0611381
"Branch Davidian"	0.060586
"naval academy"	0.0579215
"Riverside Church"	0.0574692
"Yad Vashem"	0.0554523
ten-day	0.0547073
"air force academy"	0.0531391
AOC	0.0527198
"Bernie Ecclestone"	0.0514349
hourlong	0.0501859
Tanglewood	0.0492942
fact-finding	0.0492441
"Bank of Israel"	0.049074
"Murphy Brown"	0.0489009
"Beijing University"	0.0480313
"Harvard Business School"	0.0480304
Macworld	0.0478043
citadel	0.0477851
"Donna Shalala"	0.0476217
"Democratic National Convention"	0.0471544
"Carnegie Hall"	0.0469399
"Orient House"	0.0466202
"U.N. Millennium Summit"	0.0461779
"Ricardo Alarcon"	0.0461643
"John F. Kennedy School of Government"	0.0451629
Holyfield-Lewis	0.0447807
"Ivy League"	0.0442608
"Tehran University"	0.0442438
"Jim Jones"	0.0441311
"Texas Christian University"	0.0440786
nuts-and-bolts	0.0433771
"Georgetown University"	0.0432972
"Oak Hill"	0.0432604
"Buckingham Palace"	0.0432514
"City College"	0.0430681
"Tiananmen Square"	0.0429305
"shooting range"	0.042785
"University of South Carolina"	0.0427357
"Confederate flag"	0.0427033
"Harvard College"	0.0426698
"Iowa State University"	0.0425835
fundraiser	0.0423232
"Emory University"	0.0419773
"community college"	0.0418984
"P.S @@@"	0.0417906
"College of Charleston"	0.0417418
"Alexander Hamilton"	0.0417092
Wiatt	0.0417089
CMAG	0.0416101
commencement	0.0415996
RBA	0.0415925
now-famous	0.0414779
"William Hague"	0.0414511
"Mike Espy"	0.0414304
Talebi	0.0413826
"Radio City"	0.0412161
"William Bennett"	0.0411351
polytechnic	0.0409367
gallows	0.0408873
"liberal arts"	0.0408472
"Andrew Cuomo"	0.0407294
five-minute	0.0404152
NYU	0.0404053
"military academy"	0.0401887
"Peking University"	0.0401191
Meles	0.0401006
"Mile High Stadium"	0.0400651
"Har Homa"	0.0400113
))
("Bob Jones University" (desc 6846.12) (sims
"Bob Jones"	0.229841
"Furman University"	0.117529
"National Press Club"	0.115815
"Beijing University"	0.0957394
"Howard University"	0.0882406
"College of Charleston"	0.0838854
"Peking University"	0.0792592
citadel	0.0781142
"Dartmouth College"	0.0777286
"Tehran University"	0.077354
"Georgetown University"	0.0742626
"community college"	0.0730341
"Harvard Business School"	0.0717217
"Massachusetts Institute of Technology"	0.0707232
"Michigan State University"	0.0706122
"military academy"	0.0703967
"Emory University"	0.0679735
"Qinghua University"	0.0671071
"Arizona State University"	0.0653022
"University of Utah"	0.0647876
"Yasukuni Shrine"	0.0642816
"Catholic school"	0.0642735
"Hilton Hotel"	0.063925
"Iowa State University"	0.0634987
"University of Maryland"	0.0633963
"American University"	0.0631948
"Tufts University"	0.0629943
"National Autonomous University of Mexico"	0.0629716
"Williams College"	0.0628192
"North Carolina State University"	0.0623012
"Texas Christian University"	0.0620405
"Democratic Convention"	0.0617934
"Rice University"	0.0615372
"Orient House"	0.061453
"Harvard University"	0.0614269
"city university"	0.0608496
"State University of New York"	0.0600072
"Don Juan"	0.059622
"Confederate flag"	0.0594845
"Indiana University"	0.0591725
"Republican National Convention"	0.0591062
"Harvard College"	0.0582672
"Northeastern University"	0.0578891
"Yale university"	0.0578223
"middle school"	0.0576222
"City College"	0.057272
"P.S @@@"	0.0571666
"elementary school"	0.0569906
"UC Berkeley"	0.0567373
"Carnegie Hall"	0.0565775
"air force academy"	0.0563038
"Democratic National Convention"	0.056156
"Brigham Young University"	0.056057
"U.S. Naval Academy"	0.0546581
seminary	0.054443
yeshiva	0.0543893
"John F. Kennedy School of Government"	0.0543785
"community center"	0.05429
"New York University"	0.0542559
UGA	0.0542427
"Yad Vashem"	0.0538063
"Queens College"	0.0537104
"University of Minnesota"	0.0535355
"Fordham University"	0.0534691
"Brown University"	0.0528181
"Party School"	0.0527955
"Baylor University"	0.0517207
"U.N. Millennium Summit"	0.0514267
MIT	0.0509461
"National Autonomous University"	0.0507033
"University of Texas"	0.0505444
"United Liberal Democrats"	0.0505412
"University of Massachusetts"	0.0504549
"Simon Wiesenthal Center"	0.0503769
"California State University"	0.0500858
synagogue	0.050041
"Wesleyan University"	0.0499441
"Yale Law School"	0.0498135
"University of Chicago"	0.049749
"Stanford University"	0.0497104
Yale	0.0492082
CUNY	0.048978
"Reagan Democrats"	0.0488435
Vassar	0.0487144
"naval academy"	0.0486991
"Maple Leaf Gardens"	0.0485105
"Hofstra University"	0.0482857
"vocational school"	0.0480148
"University of Southern California"	0.0479743
"Southern Methodist University"	0.047848
luncheon	0.0477853
"Asia Society"	0.0477567
"George Washington University"	0.0476827
Macworld	0.0476726
"University of Nebraska"	0.0474622
"University of New Hampshire"	0.0473
"Mormon Church"	0.0471681
"West Point"	0.047045
"U.S. Chamber of Commerce"	0.0470066
Cornell	0.0466439
"Smith College"	0.0466099
"voting booth"	0.0464331
"University of Kentucky"	0.0463685
"Boutros Boutros Ghali"	0.0463487
"Western Wall"	0.0461027
"Tiananmen Square"	0.0458927
UNAM	0.0458804
"Lincoln Memorial"	0.0455843
"University of South Carolina"	0.0454791
"alma mater"	0.0453633
banquet	0.0453259
"University of Wyoming"	0.0452821
"Family Research Council"	0.0452399
Juilliard	0.0449719
"private school"	0.0449053
"Holy Land"	0.044858
"Syracuse University"	0.0446769
"Fifth Session"	0.0445872
"Radio Free Asia"	0.0445526
"Har Homa"	0.0443374
"San Francisco State University"	0.0443254
"Catholic University"	0.0441545
"Riverside Church"	0.0440961
"University of Notre Dame"	0.0438608
"Ellis Island"	0.0438593
"Hebrew University"	0.0437015
"George Mason University"	0.0436248
"California Institute of Technology"	0.0435295
"Columbia University"	0.0434993
"University of Wisconsin"	0.043377
"Christian Social Union"	0.0433008
"Harvard Law School"	0.0431753
"Orthodox Church"	0.0431543
"Cambridge University"	0.0431257
"religious school"	0.0429297
statehouse	0.0427285
"American Enterprise Institute"	0.0425104
"University of Florida"	0.0423887
"University of Virginia"	0.0423842
"Ivy League"	0.0423356
"University of Georgia"	0.0422687
"Princeton University"	0.042005
Gonzaga	0.0419123
Dartmouth	0.0418973
"University of Colorado"	0.0417609
"secondary school"	0.0416802
"Christian church"	0.0415783
"business school"	0.0415157
"law school"	0.0414602
"boarding school"	0.0413776
"Kansas State University"	0.041377
fundraiser	0.0412939
"Temple Mount"	0.0412715
"University of Illinois"	0.0408551
"Nationalist Party"	0.0408061
"Georgia State University"	0.0407761
Princeton	0.0406356
"Florida State University"	0.040605
"University of Connecticut"	0.0405507
"teachers college"	0.0402844
"University of Missouri"	0.0400472
"Amherst College"	0.0400144
))
("Bob Kerrey" (desc 7245.89) (sims
"Bob Graham"	0.258279
"Frank Lautenberg"	0.222088
"Tom Harkin"	0.220781
"Paul Wellstone"	0.217505
"John Kerry"	0.20956
"Byron Dorgan"	0.209121
"Patrick Leahy"	0.206308
"John Edwards"	0.199971
"Evan Bayh"	0.199017
"Daniel Patrick Moynihan"	0.193925
"John Breaux"	0.189744
"Barbara Boxer"	0.185758
"Robert Torricelli"	0.182305
"Joseph Biden"	0.181616
"Chuck Hagel"	0.176599
"Christopher Dodd"	0.175627
"Dianne Feinstein"	0.174932
"Joseph Lieberman"	0.169105
"Harry Reid"	0.16743
"Edward M. Kennedy"	0.16642
"Mary Landrieu"	0.163733
"Carl Levin"	0.162352
"Richard Bryan"	0.155604
"Robert C. Byrd"	0.153924
"Judd Gregg"	0.152581
"Richard Durbin"	0.152468
"Dick Durbin"	0.15231
"Russell Feingold"	0.150456
"Robert Byrd"	0.143507
"Russ Feingold"	0.140935
"Tom Daschle"	0.140268
"Joseph I. Lieberman"	0.139166
"Jon Kyl"	0.137636
"Charles E. Schumer"	0.135337
"Max Baucus"	0.133892
"Sam Nunn"	0.132669
"Barbara Mikulski"	0.132459
"Charles Schumer"	0.132031
"Orrin Hatch"	0.128895
"Tim Johnson"	0.127084
"Ted Kennedy"	0.126885
"Charles Grassley"	0.122709
"Paul Coverdell"	0.122106
"Blanche Lincoln"	0.121671
"Edward Kennedy"	0.119933
"Charles Robb"	0.119409
"Charles Rangel"	0.119042
"Ernest Hollings"	0.118358
"Sam Brownback"	0.117773
"Ron Wyden"	0.117616
"Bill Frist"	0.11697
"John Chafee"	0.116724
"Mitch McConnell"	0.116386
"Dan Coats"	0.114386
Kerrey	0.11411
"Herb Kohl"	0.113341
"Gary Hart"	0.112989
"Gordon Smith"	0.109491
"Robert Bennett"	0.108181
"George Mitchell"	0.107746
"Olympia Snowe"	0.107301
"Phil Gramm"	0.104882
"Peter Fitzgerald"	0.104417
"Bill Thomas"	0.103674
"Pete Domenici"	0.103518
"Richard Gephardt"	0.102647
"Jeanne Shaheen"	0.102341
"Arlen Specter"	0.100943
"Susan Collins"	0.100662
"Connie Mack"	0.100262
"Mike DeWine"	0.100006
Kerry	0.0999297
"Warren Rudman"	0.0995936
"Joe Lieberman"	0.0994158
"Frank Murkowski"	0.0991188
"Dale Bumpers"	0.0985175
"Patty Murray"	0.0984412
"Ted Stevens"	0.0978564
"Rick Santorum"	0.0978262
"Kent Conrad"	0.0975736
"Kay Bailey Hutchison"	0.0956769
"Slade Gorton"	0.0952649
"John Conyers Jr."	0.0944106
"Larry Craig"	0.0941148
"John Warner"	0.0932522
"Bob Smith"	0.0927111
"Max Cleland"	0.0920867
"Conrad Burns"	0.0913561
"Jim Bunning"	0.090784
"Richard Shelby"	0.0905242
"Tim Hutchinson"	0.0903234
"Bill Bradley"	0.0897342
"James Inhofe"	0.0883492
"Jesse Helms"	0.087576
"Fred Thompson"	0.087212
"Ben Nighthorse Campbell"	0.0868144
"Olympia J. Snowe"	0.0867373
"Richard Lugar"	0.0862176
"Norm Dicks"	0.0846725
"Spencer Abraham"	0.0841448
"Howard Baker"	0.0840967
D-Mass.	0.0837769
"Dick Gephardt"	0.0833669
"Jim Hunt"	0.0832961
Moynihan	0.0821281
"Wayne Allard"	0.0820346
"John Ashcroft"	0.0817736
"John Danforth"	0.0801768
D-Iowa	0.0801032
"James Jeffords"	0.0792582
Harkin	0.0791233
"Lee Hamilton"	0.0790642
"Kit Bond"	0.0787006
"Pat Roberts"	0.0786917
"Trent Lott"	0.0785524
"Jeff Sessions"	0.0781955
"Paul Tsongas"	0.0772184
R-Ky.	0.0763044
D-Mo.	0.0760965
D-La.	0.075385
D-N.Y.	0.0751861
"William Roth"	0.0750396
"Tom Vilsack"	0.0748927
"Don Nickles"	0.0745309
"Strom Thurmond"	0.0742998
"New York Democrat"	0.0742191
R-Tenn.	0.0740174
R-N.C.	0.0739355
R-Ala.	0.0737285
"David Bonior"	0.0735608
"John Conyers"	0.0731045
"John McCain"	0.0722692
D-Conn.	0.0718463
"Barney Frank"	0.0718424
"Thad Cochran"	0.0708309
"Jim Jeffords"	0.0706505
D-Neb	0.0704858
"Jim Hodges"	0.0703105
"Eliot Spitzer"	0.0702605
"John Glenn"	0.0688382
"Zell Miller"	0.0687462
"Henry Waxman"	0.0686496
Daschle	0.0682115
"minority leader"	0.0682081
R-Ariz.	0.0679509
"John Kasich"	0.0678762
"Gray Davis"	0.0675568
"Bob Dole"	0.0675339
"Nita Lowey"	0.0669205
"John Dingell"	0.0666392
"Jesse Jackson"	0.0660639
"Tom Hayden"	0.0653033
"Alfonse D'Amato"	0.0651842
"Barry Goldwater"	0.0639096
"Mel Carnahan"	0.0635609
Gramm	0.0618621
"Jerry Brown"	0.0616404
"Lloyd Bentsen"	0.0612754
"Bob Bullock"	0.0612503
"Sheila Jackson Lee"	0.0608175
"Joseph McCarthy"	0.0600775
"Sheldon Silver"	0.0600609
"George Voinovich"	0.0597675
"Charles Stenholm"	0.0597544
Bayh	0.0597366
Ashcroft	0.0592693
"Lincoln Chafee"	0.0591375
"Matt Salmon"	0.0590138
D-Mich.	0.0586408
"Gary Bauer"	0.0585173
"Roy Barnes"	0.0578736
"Maxine Waters"	0.0575967
D-Wis.	0.0571967
Gephardt	0.0569264
Lott	0.0567763
"Elizabeth Dole"	0.0567367
Breaux	0.0565958
"Robert Smith"	0.0563388
D-Vt.	0.0562923
Wellstone	0.0560866
R-N.M.	0.0560356
R-Ga.	0.0555934
"Carolyn Maloney"	0.0553627
D-N.J.	0.0552545
Brownback	0.0548414
"Rodney Slater"	0.0546137
"Secretary General Esmat Abdul-Meguid"	0.0545855
"George Pataki"	0.0545575
"Jack Kemp"	0.0543172
"Lloyd Doggett"	0.053999
"Bill Richardson"	0.0539806
Feingold	0.0536402
R-Va.	0.053249
"Steve Forbes"	0.0531156
D-Ga.	0.0529665
"George McGovern"	0.0525428
Meguid	0.0525287
"Rod Grams"	0.0524824
"Dan Quayle"	0.052296
Torricelli	0.0521977
))
("Bob Knight" (desc 2294.32) (sims
"John Wooden"	0.178688
"Bobby Knight"	0.162703
"Mike Krzyzewski"	0.154315
"Bora Milutinovic"	0.14118
"Mack Brown"	0.136989
"Ken Hitchcock"	0.133758
"Lou Holtz"	0.133467
"John Robinson"	0.129189
"Walter Zenga"	0.129161
"Mike Dunleavy"	0.127632
"Jim Harrick"	0.127262
"Paul Westphal"	0.124341
"George Karl"	0.124117
"P.J Carlesimo"	0.121034
"Tim Floyd"	0.120932
"Pat Burns"	0.120658
"Dick Vermeil"	0.118893
"Tom Landry"	0.118686
"Rudy Tomjanovich"	0.114364
"TOM COUGHLIN"	0.113823
"Roy Williams"	0.113203
"Dean Smith"	0.112101
"Lenny Wilkens"	0.111504
"Norv Turner"	0.111024
"John Thompson"	0.109948
"Vince Lombardi"	0.108706
"Dennis Green"	0.107125
"Scotty Bowman"	0.0988284
"Jerry Sloan"	0.0978731
"Larry Bird"	0.0970675
"Steve Mariucci"	0.0968509
"Steve Spurrier"	0.0949317
"Mel Stottlemyre"	0.0938648
"Rick Pitino"	0.0922195
"Pat Riley"	0.0911733
"Glenn Hoddle"	0.0902326
"Dan Reeves"	0.0894661
"Mike Ditka"	0.0891534
"Don Zimmer"	0.0886648
"Tom Osborne"	0.0872961
"Pete Carroll"	0.0871998
"Chris Palmer"	0.0871492
"Chan Gailey"	0.0853482
"Ray Rhodes"	0.0851211
"George Seifert"	0.0850158
"Bobby Bowden"	0.0845631
"Tex Winter"	0.0806455
"Larry Brown"	0.0794038
Ponciano	0.0788528
"Rick Neuheisel"	0.0786824
Cremins	0.0783998
"Butch Carter"	0.0773146
"Paul Silas"	0.0768652
"Phil Jackson"	0.0767931
"Jim Calhoun"	0.0766895
"Mike Holmgren"	0.0759076
"Dave Wannstedt"	0.0741286
Wannstedt	0.0732284
"Jeff Van Gundy"	0.071599
"Kurt Rambis"	0.071097
"Mike Shanahan"	0.0708141
Harrick	0.0698738
Belichick	0.0679821
"Al Groh"	0.0678391
"Bill Parcells"	0.0678003
Summitt	0.0671266
"Del Harris"	0.0660227
"Joe Gibbs"	0.0657713
Landry	0.0653952
Slocum	0.0647793
"Jimmy Johnson"	0.0637336
"Barry Switzer"	0.0632752
"Dennis Erickson"	0.062292
"Don Shula"	0.0621164
Vermeil	0.0619572
Bowden	0.0617553
Donnan	0.0606452
Seanez	0.0602101
Passarella	0.0596749
"Dick Jauron"	0.0586591
"Doc Rivers"	0.058014
"Tommy Bowden"	0.0579783
"Bill Walsh"	0.0579676
Spurrier	0.0578197
"Joe Paterno"	0.0577928
"Travis Best"	0.0572663
Solich	0.0571174
Grachev	0.0570476
"Horned Frogs"	0.0569964
"Tommy Lasorda"	0.0568723
Krzyzewski	0.0559051
"Antonio Davis"	0.0558282
"Bear Bryant"	0.0555101
"Kevin Keegan"	0.0552242
Springsteen	0.0549842
Ciampi	0.0546906
"Tom Welch"	0.0544882
"Bill Belichick"	0.0542914
"Clyde Drexler"	0.0542374
"Vernon E. Jordan Jr."	0.0537086
Graziano	0.0532768
"Dave Stewart"	0.0532608
"Joao Havelange"	0.0531191
Fulmer	0.0529853
"Dennis Johnson"	0.0527073
GRUDEN	0.0519027
"Rod Carew"	0.0517945
Calhoun	0.0517423
"Dave Campo"	0.0517399
"Fighting Irish"	0.051721
"John Smith"	0.0516827
"Red Auerbach"	0.0515618
"Brian Billick"	0.0512857
Westphal	0.0511149
Kazan	0.0503747
"Dom Capers"	0.050129
Holtz	0.0499447
"Willie Randolph"	0.0495989
"Mark Jackson"	0.0495171
"Ruud Gullit"	0.0493104
DeBerg	0.0492269
"Don Nelson"	0.0491869
"Dale Davis"	0.0491307
Gailey	0.0490174
"Joe Kleine"	0.0489687
Fiorina	0.048876
Huskers	0.0487943
Nomar	0.0485752
Ballmer	0.0485243
Wilkens	0.0484545
Piggie	0.0481422
"Tony Dungy"	0.048137
"Tom Hicks"	0.0480457
"Don Baylor"	0.0480011
"Chuck Daly"	0.0479048
"John Calipari"	0.0478078
Haskins	0.0476788
Badillo	0.047281
"Colin Campbell"	0.0469712
"La Russa"	0.0468897
Coffey	0.0467903
Wetherell	0.0466481
"Frank Joklik"	0.0465985
UTEP	0.0463721
"Shawn Berry"	0.0462182
"Isiah Thomas"	0.0457526
Asprilla	0.045648
Blazevic	0.0453196
Mehta	0.045284
Osborne	0.0452789
FIDEL	0.0452277
"Phoenix Mercury"	0.045083
Whitacre	0.0448666
"Mike Martz"	0.0448238
Guthridge	0.0447689
Mora	0.0447411
Neuheisel	0.0446803
"Reggie Miller"	0.0446327
Lennox	0.0444192
"Betty Currie"	0.0443805
Franchione	0.0443775
"Lin Li"	0.0442845
Ebbers	0.0440846
Doherty	0.0440149
"sad sack"	0.0440036
Sampson	0.0438791
"Paul Johnson"	0.0438468
Eisner	0.0438068
"Billie Jean King"	0.0434655
"Gianluca Vialli"	0.0434436
Michaels	0.0433891
Fran	0.0433752
"Tara Lipinski"	0.0433698
Canty	0.0433182
"Princess Anne"	0.0433084
"Bill Cowher"	0.0432757
"Rich Brooks"	0.0431381
Warshaw	0.0431114
Pitino	0.0429611
GRUNFELD	0.0429427
Romanowski	0.0428212
Hackett	0.0427839
Aurelio	0.0426164
Holmgren	0.0423507
Godfrey	0.0421712
Hirst	0.0421442
"Franz Beckenbauer"	0.042122
Blackman	0.0420552
Tendulkar	0.0420243
Coughlin	0.0418434
Neilson	0.0418172
"Sela Ward"	0.0417019
Claire	0.0416815
Muoi	0.0415071
commode	0.0414822
Menchu	0.0410705
Koehler	0.0410029
"Jeff Bezos"	0.0406874
"Pete Rose"	0.0406801
Iger	0.040665
))
("Bob Kraft" (desc 2251.01) (sims
"Robert Kraft"	0.220535
"Pete Carroll"	0.134329
"Tom Hicks"	0.102443
"Marge Schott"	0.100924
"Joe Gibbs"	0.0997248
"TOM COUGHLIN"	0.0982346
"Bob McNair"	0.0948326
"Bill Belichick"	0.092483
"Al Davis"	0.0920836
Carroll	0.091287
"Jimmy Johnson"	0.0912584
"Jerry Jones"	0.0906835
"Jerry Buss"	0.0891535
"Leon Hess"	0.0829368
"A.J Foyt"	0.0804279
"John Henry"	0.0794929
"Peter Angelos"	0.0786935
Kraft	0.0779642
"Dick Vermeil"	0.0759533
"Mike Ditka"	0.0756821
"Mike Shanahan"	0.0754888
"Paul Allen"	0.0728482
"Bruton Smith"	0.072827
"George Steinbrenner"	0.0718435
"Mario Lemieux"	0.0694183
"Mark Cuban"	0.0674477
Bhattarai	0.066423
"Ed Roski"	0.0663727
McLane	0.0654957
"Al Groh"	0.0653903
"Howard Milstein"	0.0629963
"Bud Selig"	0.0628575
"Al Fayed"	0.062303
Belichick	0.0617974
Bruton	0.061547
"Jerry Reinsdorf"	0.0609411
"Jerry Colangelo"	0.060298
"Frank Stronach"	0.0597016
Hess	0.059485
Shinn	0.0589641
Groh	0.0575302
"Bobby Grier"	0.0574472
YankeeNets	0.0572573
"Daniel Snyder"	0.0570616
Chris-Craft	0.0561297
"Mike Brown"	0.0558168
"Gene Autry"	0.0548744
"Dan Reeves"	0.0538043
Ciampi	0.0535081
Coolio	0.0529041
"Herb Kohl"	0.0527912
Kearin	0.0526997
"Isiah Thomas"	0.0520717
Vermeil	0.0516623
Gaston	0.0507208
Stronach	0.0505899
Nate	0.0503593
Bostonian	0.0503414
"Ted Turner"	0.0503294
Colangelo	0.0502427
Jerry	0.0501937
"Con Ed"	0.0501787
Brazile	0.0500679
"Red Auerbach"	0.0499901
Campo	0.0497405
Vialli	0.0491184
"Dan Duquette"	0.0488053
BNFL	0.0486794
"Lou Holtz"	0.0485595
"Pat Riley"	0.0480886
Kansan	0.048064
Alford	0.0480418
Darren	0.0479766
ANGELOS	0.0477163
McCaw	0.0476521
Keegan	0.0475173
Hicks	0.0474142
Pegram	0.0473859
Cianci	0.047189
"La Russa"	0.047062
Terrell	0.046997
Cadbury	0.0467121
"Cendant Corp."	0.0466483
"Larry Bird"	0.0464056
"Chan Gailey"	0.0462431
Rongen	0.0461853
Kazhegeldin	0.0460514
Paxson	0.0459202
"Bill Parcells"	0.0458241
Ebersol	0.0455325
Hallinan	0.045528
Musa	0.0451709
"Harvey Weinstein"	0.0450263
Pete	0.044956
Selig	0.0449323
Gullit	0.0449282
Waddell	0.0449189
whomever	0.0448311
"U.S. Soccer Federation"	0.0446336
Testaverde	0.0446024
McGinest	0.0444201
Ghalib	0.0443786
Shula	0.0443256
Kenyon	0.0442805
Wohlers	0.0442365
"Rick Pitino"	0.0441974
Natale	0.0441094
Monson	0.0439774
Ovitz	0.0439344
AutoNation	0.0439292
"Don Shula"	0.043881
"Kevin Keegan"	0.0438704
Hiddink	0.0437472
Jimy	0.0436533
Rothenberg	0.0436418
Foyt	0.0431408
Gunmakers	0.0430607
Modell	0.0429408
Denny	0.042876
Krause	0.0428602
Scottie	0.0428198
"Glenn Hoddle"	0.0427908
"Alex Ferguson"	0.0427811
Evander	0.0426186
Massport	0.0425518
WPP	0.0425049
Blyth	0.0424742
DiCarlo	0.0424383
Lerner	0.042419
"Vince McMahon"	0.04236
Rowland	0.0423062
Karmazin	0.0422759
Oneidas	0.0420615
"Bob Arum"	0.0420497
"John Madden"	0.0420492
"Rupert Murdoch"	0.0420412
Checketts	0.0420151
Haskins	0.0419855
Hoddle	0.0419023
Mel	0.0417999
Mikhailov	0.041656
USEC	0.0414754
Schell	0.0414266
Grier	0.0413968
Noboa	0.0413591
VICKERS	0.041238
"Billy Payne"	0.041038
Guthridge	0.0409944
Bochco	0.0409868
Waltrip	0.0409501
Massey	0.0409343
Loretta	0.0407783
Atler	0.0407694
Snyder	0.0407578
Dan	0.0407229
Hamid	0.0406936
Zarb	0.0406533
Collymore	0.0406333
Enis	0.0406314
Leyland	0.0405852
ROMNEY	0.0405429
Dreyfus	0.0405076
Nunn	0.0404439
Crenshaw	0.0404371
Ebbers	0.0404271
Bidwill	0.0403797
"Bobby Valentine"	0.0403663
REITs	0.0403632
"Tony George"	0.0403539
"Tom Landry"	0.0402775
Dougherty	0.040197
Schippers	0.0401794
Garcetti	0.0401661
Ruehe	0.0401518
Diageo	0.0401125
Lou	0.0400509
Franchione	0.0400307
Traficant	0.0400244
))
("Bob Livingston" (desc 7340.83) (sims
"Robert Livingston"	0.436086
"Dennis Hastert"	0.219869
"Billy Tauzin"	0.203268
Livingston	0.177823
"Newt Gingrich"	0.156797
"Dick Armey"	0.151017
"Wolfgang Schaeuble"	0.14723
"Tom DeLay"	0.14039
"Tony Coelho"	0.132397
"Sheldon Silver"	0.131949
Tauzin	0.129094
"Henry Hyde"	0.126717
"Yegor Stroyev"	0.126179
"Dan Burton"	0.123003
Harmoko	0.121756
"John Linder"	0.117369
"Bill Archer"	0.116712
"Gennady Seleznyov"	0.115979
"John Boehner"	0.115186
"Martin Frost"	0.110474
"Tom Davis"	0.109098
"Trent Lott"	0.107966
"J.C. Watts"	0.106138
"Bob Barr"	0.104983
"John Kasich"	0.104585
"Amien Rais"	0.103336
"Lee Hamilton"	0.100922
"John Shalikashvili"	0.100184
"Charles Canady"	0.0990883
"Dick Gephardt"	0.0990405
"Bernard Sanders"	0.0989053
Hastert	0.0984373
Gingrich	0.0978491
"Jim Kolbe"	0.0965564
"Peter Vallone"	0.0962895
Murayama	0.0960142
"Porter Goss"	0.0947283
"Richard Gephardt"	0.0945724
"Barney Frank"	0.0940095
"Ahmed Qureia"	0.0936969
R-La.	0.0934632
"Abu Ala"	0.0933575
"Tom Campbell"	0.0931221
Schaeuble	0.0929398
"Bill McCollum"	0.0916508
"Lamar Smith"	0.0898299
"Daniel Patrick Moynihan"	0.0891214
"Dan Miller"	0.0888268
"Christopher Cox"	0.0887137
"James Sensenbrenner"	0.0883299
"Juan Antonio Samaranch"	0.0870931
Gephardt	0.0853189
"Rick Lazio"	0.0852634
"Joseph Bruno"	0.0852624
"M. Douglas Ivester"	0.083155
"Laurent Fabius"	0.0820366
"Alexander Shokhin"	0.0816929
"John Conyers"	0.0808884
Armey	0.0798667
"majority leader"	0.0798191
"Adem Demaci"	0.0798082
"Fatos Nano"	0.0794141
R-Ill.	0.0787921
"David Dreier"	0.0782059
"President Lee Teng-hui"	0.0779802
D'Alema	0.0776428
"Robert E. Rubin"	0.077391
"Orrin Hatch"	0.0773674
"Jim Leach"	0.076947
Joklik	0.076111
Ivester	0.0759181
"Bob Franks"	0.0757806
"Illinois Republican"	0.0753525
"Necmettin Erbakan"	0.0752704
"Bill Richardson"	0.0750189
"Steve Largent"	0.0748987
"Bill Thomas"	0.0748953
"Benjamin Gilman"	0.0745754
Verney	0.0743081
"Christopher Smith"	0.0741377
"John Dingell"	0.0738687
"Phil Gramm"	0.0738187
"Yossi Sarid"	0.0736691
Koirala	0.0733699
"Yoshiro Mori"	0.0732837
"Vladimir Putin"	0.072737
Kesri	0.0721731
"Michel Camdessus"	0.0721218
Coelho	0.0718297
Hashimoto	0.0716499
"Don Young"	0.0712741
Masire	0.0712035
"Tomiichi Murayama"	0.0711939
"Patrick Kennedy"	0.0711696
"Vaclav Klaus"	0.070913
"Connie Mack"	0.0707801
"Roy Romer"	0.0707646
"Renato Ruggiero"	0.0706838
Brundtland	0.070566
Vogts	0.0704464
"Greg Ganske"	0.0702853
"Jim Leyland"	0.0702186
"Bulent Ecevit"	0.0699151
"Oskar Lafontaine"	0.0698004
Coverdell	0.0694427
"Charles Schumer"	0.0694014
Duisenberg	0.0693616
Turabi	0.0691443
"Jack Gargan"	0.0691102
"Sergei Stepashin"	0.0689405
Seleznyov	0.0687416
"Jesse Helms"	0.068736
"Lindsey Graham"	0.0685803
Mokhehle	0.0682175
"Romano Prodi"	0.0680824
"Shimon Peres"	0.0680766
"Asa Hutchinson"	0.0680198
"Henry Bonilla"	0.0677541
Majko	0.0675149
"Thabo Mbeki"	0.0675028
"Jack Kemp"	0.0674758
"Geraldine Ferraro"	0.0674567
"Chavalit Yongchaiyudh"	0.0673787
Mukora	0.0672675
R-Miss.	0.0671783
"Carl Bildt"	0.0667198
Boehner	0.0666254
"Sam Nunn"	0.0666148
Ribbeck	0.0665311
"John Breaux"	0.0664545
Bhattarai	0.0661073
Ruggiero	0.0660751
"Kim Jong-pil"	0.0657983
"Charles Rangel"	0.0657903
"Tom Coburn"	0.0655782
"Ryutaro Hashimoto"	0.0650623
"Ricardo Alarcon"	0.0649642
Zeroual	0.0648232
Lautenberg	0.0648077
"John Sweeney"	0.0647291
Misuari	0.0645737
R-Ga.	0.0645209
Greenwald	0.0644357
"John Major"	0.0641292
"George Mitchell"	0.0639268
"Jack Kingston"	0.0638482
"H.D Deve Gowda"	0.0637095
"John Lewis"	0.063655
"Charlene Barshefsky"	0.0634845
"Martin Meehan"	0.0634607
"Aryeh Deri"	0.0633163
Cowens	0.0632351
Hyde	0.0631313
"Ivan Kostov"	0.0630529
Weizman	0.0628916
"Roy Barnes"	0.0628912
Bizimungu	0.0627882
"Frank Lautenberg"	0.0626098
Nano	0.0624826
Schottenheimer	0.0623576
"Krishna Prasad Bhattarai"	0.0623533
"Robert Ray"	0.0621882
"Abdurrahman Wahid"	0.0620165
"Arthur Levitt"	0.0618786
Barr	0.061856
Bishara	0.0614881
"Cyril Ramaphosa"	0.061439
"Peter King"	0.0613763
"Jim Turner"	0.0612919
"P.V Narasimha Rao"	0.0612704
"David Duke"	0.061209
"Paul Keating"	0.0610615
"Rick Neuheisel"	0.0610439
Lott	0.0609653
"Mesut Yilmaz"	0.060912
"Nur Misuari"	0.0608526
"Jerrold Nadler"	0.0608079
"Robert Aventajado"	0.0607808
Barad	0.0607377
Quackenbush	0.0606235
"George Miller"	0.0605768
"Glenn Hoddle"	0.0604889
Daft	0.0604516
"Curt Weldon"	0.0602933
"Maxine Waters"	0.0602367
"D-Los Angeles"	0.0602341
Cubas	0.0600927
"Jim Nicholson"	0.0600758
"Salim Hoss"	0.0600504
Lafontaine	0.0599996
Samaranch	0.0597773
"Megawati Soekarnoputri"	0.0596837
"Sonia Gandhi"	0.0596395
Kennard	0.0596218
Skuratov	0.0595929
"William Daley"	0.0593398
"Boris Yeltsin"	0.0593163
"Bob Dole"	0.0591493
Bubb	0.0590927
"Charles E. Schumer"	0.0588921
))
("Bob Marley" (desc 2654.68) (sims
"Marvin Gaye"	0.206085
"Jimi Hendrix"	0.144979
"Bob Dylan"	0.135384
"Eric Clapton"	0.132368
"Joni Mitchell"	0.125161
"Michael Jackson"	0.117059
"Aretha Franklin"	0.115288
"Jim Morrison"	0.11298
"Elton John"	0.112632
"Duke Ellington"	0.109993
"Rolling Stones"	0.108989
"Stevie Wonder"	0.108123
"Beach Boys"	0.105604
"Kurt Cobain"	0.101225
"James Brown"	0.10088
"Miles Davis"	0.0984183
"B.B King"	0.0965161
"Frank Sinatra"	0.0961892
"Jerry Garcia"	0.0954974
"Bruce Springsteen"	0.0953476
"Jimmy Buffett"	0.0953159
"Elvis Presley"	0.0946203
"GLORIA ESTEFAN"	0.0942377
"Woody Guthrie"	0.09337
Beatles	0.0931494
"Janis Joplin"	0.0920109
"Tito Puente"	0.0910409
"Pink Floyd"	0.0892403
sly	0.0892094
"Bruce Lee"	0.0887636
"Led Zeppelin"	0.0861269
"Paul Simon"	0.0854831
"Little Richard"	0.0831792
"Phil Collins"	0.0827039
"Mick Jagger"	0.0801373
"Willie Nelson"	0.0800784
"Mark Tuinei"	0.0800643
Selena	0.079011
"David Bowie"	0.0781986
"Louis Armstrong"	0.0780529
Aerosmith	0.0777861
"James Taylor"	0.0776198
Mellencamp	0.0775913
Hootie	0.0774577
"Grateful Dead"	0.0770725
"Alanis Morissette"	0.0768588
"Celine Dion"	0.0767281
"Benny Goodman"	0.0760953
"Indigo Girls"	0.0738402
Cher	0.0732954
"Dizzy Gillespie"	0.0727103
"Walter Payton"	0.0726998
"Marilyn Manson"	0.0719792
"Paul McCartney"	0.0702787
"Dirty Bird"	0.0693324
"Hank Williams"	0.0691389
"Tammy Wynette"	0.0691359
"Neil Young"	0.068756
U@	0.0685729
"Lenny Kravitz"	0.0676629
"Spice Girls"	0.066732
"George Strait"	0.0660246
"Whitney Houston"	0.0647679
"Leon Hess"	0.0642716
"Loretta Lynn"	0.0642168
"Jimmy Page"	0.0639829
"Patti Smith"	0.063667
"Robert Johnson"	0.063367
"Lauryn Hill"	0.0632759
Moby	0.062902
Motown	0.0627434
Gershwin	0.0625846
Lawler	0.0625215
"Reggie Lewis"	0.0622731
"Julius Erving"	0.0620233
"Quincy Jones"	0.0618628
"Ruben Blades"	0.0616953
"Ray Charles"	0.0616505
"Bonnie Raitt"	0.0612317
"Billy Joel"	0.0612214
"John Lennon"	0.0603239
"Van Morrison"	0.0601927
"George Gershwin"	0.0601419
"Sheryl Crow"	0.0596778
"LeAnn Rimes"	0.0596453
Guthrie	0.0595117
"Diego Maradona"	0.0592232
"Terry Bradshaw"	0.0591653
Costin	0.0587102
"Diana Ross"	0.0580284
"Robert Shaw"	0.0580063
"Tupac Shakur"	0.057308
Dylan	0.0569956
"Lou Reed"	0.0569461
"Tom Waits"	0.0569321
Elvis	0.0568278
Blondie	0.05669
"Ricky Martin"	0.056617
"John Coltrane"	0.0565527
"Tina Turner"	0.0564752
"Johnny Cash"	0.0562318
"John Mellencamp"	0.0559669
"Star-Spangled Banner"	0.055845
"Patsy Cline"	0.0556364
Puente	0.0553916
Pele	0.0553414
sharecropper	0.0551743
"Don Henley"	0.0549347
Hendrix	0.0549302
"George Jones"	0.054628
"Paul Newman"	0.0541518
"Garth Brooks"	0.0538664
"Johan Cruyff"	0.0538237
"Wilt Chamberlain"	0.0533791
"Shania Twain"	0.0532152
"Harry Belafonte"	0.0531415
"Waylon Jennings"	0.0530352
"Aaron Copland"	0.0528327
"Cole Porter"	0.0527477
Setzer	0.0525813
"Bob Bullock"	0.0524823
Chopin	0.0523359
"HOWARD COSELL"	0.0521333
Coltrane	0.0521082
"Dave Matthews"	0.0516031
"Peter Lynch"	0.0515606
Messiaen	0.0514833
klezmer	0.0514097
"Martha Graham"	0.0512933
Byrds	0.0511689
Springsteen	0.0510433
J	0.0509592
Bjork	0.050741
"Bill Cosby"	0.0505639
"Queen Elizabeth"	0.0505267
Ellington	0.0505172
"Joan Baez"	0.0504389
"Sally Hemings"	0.0502729
"Dean Martin"	0.0499758
"Sonny Bono"	0.0498743
"Lothar Matthaeus"	0.0497941
"Queen Latifah"	0.0496955
"Charles Lindbergh"	0.0496223
"John Wayne"	0.0495215
"Foxy Brown"	0.049481
"Mary Pickford"	0.0494669
"Ted Hughes"	0.0494295
"Manny Fernandez"	0.0492918
"George Michael"	0.0490499
"John Cage"	0.048973
"Charlie Parker"	0.0486998
"Franz Beckenbauer"	0.0486936
"Doak Walker"	0.0486529
"Public Enemy"	0.0485875
"George Harrison"	0.0485379
"Billie Jean King"	0.0485307
"Howie Long"	0.0485014
"Kirk Franklin"	0.0481926
Sondheim	0.0481686
"Carly Simon"	0.0481088
Bono	0.0481019
"Mariah Carey"	0.0480915
Schubert	0.0479984
Blackman	0.0478825
"Rosa Parks"	0.0478371
"Roy Rogers"	0.0478064
"Hank Aaron"	0.0477931
"Muddy Waters"	0.0476528
Marley	0.0475765
"Brian Wilson"	0.0473437
"Courtney Love"	0.0472602
"Chow Yun-Fat"	0.0472544
"Joe DiMaggio"	0.0470957
"Marlon Brando"	0.0469282
"Janet Jackson"	0.0468937
Monkees	0.0467738
"Arnold Palmer"	0.046603
"Gene Autry"	0.046532
"Jim Brown"	0.0463717
"Pearl Jam"	0.0462615
Byrdsong	0.0460061
"Robin Williams"	0.0458842
"Buddy Holly"	0.0457966
"Hafez Assad"	0.0457602
Grunow	0.0456909
Eminem	0.0456391
Mae	0.0456227
"Christina Aguilera"	0.0454492
"Bobby Charlton"	0.045446
"King Hassan II"	0.0453042
"Dwight Yoakam"	0.0452898
"Billie Holiday"	0.0452858
Supremes	0.045269
Prokofiev	0.0451348
"Bill Blass"	0.0450586
zeppelin	0.0449725
Astro	0.0449668
"blue whale"	0.0447922
"Lee Atwater"	0.0445598
"Alberto Tomba"	0.0445496
))
("Bob McNair" (desc 1698.28) (sims
"Daniel Snyder"	0.172255
"Tom Hicks"	0.154045
"Jerry Buss"	0.142766
"Mark Cuban"	0.141331
"Howard Milstein"	0.132973
"Peter Angelos"	0.132555
"Lucio Tan"	0.130484
"Frank Stronach"	0.125521
"Robert Kraft"	0.117573
"Sam Wyly"	0.116854
"Jerry Reinsdorf"	0.116351
"Leon Hess"	0.115327
"A.J Foyt"	0.113901
"Paul Allen"	0.109232
"Joe Gibbs"	0.104271
"Ward Connerly"	0.103089
"Marge Schott"	0.101154
"Guy Millner"	0.100481
"Eli Broad"	0.100195
"George Speight"	0.0995412
"Rupert Murdoch"	0.0959312
"Bob Kraft"	0.0948326
"Ted Turner"	0.0941209
"Mario Lemieux"	0.0931443
"Gianni Agnelli"	0.0914271
"Mike Brown"	0.0898361
"Jerry Colangelo"	0.0893115
"Erskine Bowles"	0.0881235
"Jerry Jones"	0.087249
"Al Davis"	0.0864468
"Richard Branson"	0.08533
Ka-shing	0.0839347
"Mitt Romney"	0.0830174
"Ronald Perelman"	0.0820902
"George Steinbrenner"	0.0817115
Modell	0.0805108
"Larry Ellison"	0.0804014
prentice	0.0798128
Lindner	0.0793657
McCaw	0.079016
"Warren Buffett"	0.0771761
"Gannett Co."	0.0771522
"Craig McCaw"	0.0761147
Roski	0.0737945
"Vince McMahon"	0.0734779
"Federated Department Stores"	0.0728858
"Herb Kohl"	0.0728358
"Barry Diller"	0.0722734
"Silvio Berlusconi"	0.0707152
"Donald Trump"	0.0707148
"Bud Selig"	0.0705122
GANNETT	0.0701095
"Metropolitan Transportation Authority"	0.0700372
"John Henry"	0.0695782
Omnicom	0.0693245
"Banque Nationale"	0.0692123
"Knight Ridder"	0.0688245
Yoo	0.0688209
Lewises	0.0681114
IMG	0.0678053
"Boris Berezovsky"	0.0675734
Granic	0.0671004
"Rafik Hariri"	0.066941
"Bruton Smith"	0.066086
Talal	0.0656112
DiCarlo	0.0652001
oilman	0.0650022
ANGELOS	0.0647627
"Total Fina"	0.0638598
"Tribune Co."	0.0633857
Litton	0.0633737
"Vladimir Gusinsky"	0.0630807
Interpublic	0.0622237
"James Hormel"	0.061391
"Ross Perot"	0.0613248
Zakopane	0.0611239
"Hearst Corp."	0.0609373
"Pacific Century"	0.0608742
Vodafone	0.0608624
"Ed Roski"	0.0606975
"Al Fayed"	0.0603682
Perelman	0.0603148
Snyder	0.0601835
"Royal Bank"	0.0595674
Milstein	0.0591443
"Moshood Abiola"	0.0589143
Pegram	0.0587738
BSKyB	0.0587024
CMG	0.0586001
McNair	0.0585781
AIG	0.058532
Hecht	0.0583134
Sion	0.0579062
"Omnicom Group"	0.0577281
Kraft	0.0573015
"Isiah Thomas"	0.0572687
Hirschfeld	0.0571827
"Howard Hughes"	0.0571651
ENTERGY	0.0566385
Lerner	0.05625
Piccard	0.0561084
"Johnny Chung"	0.0556124
AMR	0.0555866
Hahn	0.055501
Hariri	0.0553001
Lemieux	0.0550856
Ovitz	0.0548433
"Bernie Ecclestone"	0.0545555
Schmalensee	0.0544502
"Phelps Dodge"	0.0542164
"Michael Dell"	0.0541362
"New York Times Co."	0.0538955
meatpackers	0.053892
Murdoch	0.0534989
Shoate	0.0534596
whomever	0.053358
spina	0.0533513
"Con Edison"	0.0531325
Soares	0.0527858
Ganassi	0.0527218
"Enron Corp."	0.0523026
"John Sweeney"	0.052201
Isner	0.0520721
"Tom Welch"	0.052022
Ota	0.0517912
"Gene Autry"	0.0512505
Millner	0.0508547
EBRD	0.0508284
ROMNEY	0.0507133
Zarb	0.0505815
"Walt Disney Co."	0.0503827
"Singapore Telecom"	0.0502251
Olivetti	0.0499246
Klima	0.0499162
Luong	0.0498021
"News Corp."	0.0493732
Vialli	0.0493541
"George Soros"	0.049308
Hicks	0.0492755
COUSINS	0.0492051
DeBartolo	0.0491255
Goh	0.0490589
Comcast	0.0488257
"La Russa"	0.0487064
Bertelsmann	0.0486409
Generali	0.0484454
Enron	0.0484119
WELLPOINT	0.0483636
Whitacre	0.0480452
TYCO	0.0479444
"General Electric Co."	0.0479395
Mavs	0.0478322
"MCI WorldCom"	0.0477801
Seagram	0.0477338
"Walt Disney"	0.0476759
"France Telecom"	0.0476684
Connerly	0.0476347
"Clint Reilly"	0.04763
Callahan	0.047596
Unilever	0.0475539
Jerry	0.0472203
Cablevision	0.0470462
Taubman	0.0468623
Pustovoitenko	0.0467545
LVMH	0.0465803
"Hendrick Motorsports"	0.0463591
"Michael Ovitz"	0.0462973
"Felipe Alou"	0.0462645
Aegon	0.0461755
Esser	0.0460466
McMullen	0.0460378
Ruehe	0.0460154
Glendening	0.0460075
Meeks	0.0459564
Icahn	0.0459269
Barzani	0.0458664
"Times Mirror"	0.0457016
Qaddafi	0.0456077
WPP	0.045408
Italia	0.0453524
Wolfensohn	0.0452727
Moratinos	0.045152
Gillick	0.0451047
Prueher	0.0451024
Danka	0.0449569
Arnault	0.0447947
REVLON	0.0447472
"U.S. Defense Department"	0.0446967
ATC	0.0446834
ADM	0.0444075
Chabot	0.0443872
Dreyfus	0.0442443
Cayugas	0.0442045
"Robby Gordon"	0.0442032
Kromah	0.0441973
Selig	0.0439176
"Jim Thomas"	0.0438478
Edelman	0.043844
"Jerzy Buzek"	0.0438365
McAllister	0.0438019
))
("Bob Shrum" (desc 1527.24) (sims
"Mike Murphy"	0.29591
"Mark McKinnon"	0.281944
"Ralph Reed"	0.274795
"James Carville"	0.272991
"Dan Schnur"	0.2718
"Carter Eskew"	0.262592
"Paul Begala"	0.235189
"Karl Rove"	0.231066
"John Weaver"	0.227837
"Shelly Finkel"	0.222567
"Dick Morris"	0.199122
"Rahm Emanuel"	0.183181
"Ahmed Tibi"	0.182377
"David Bar-Illan"	0.179923
"Frank Luntz"	0.167832
"Gene Sperling"	0.164447
"Mary Matalin"	0.161727
"Condoleezza Rice"	0.161273
"Harold Ickes"	0.15961
"Karen Hughes"	0.157819
"Lee Atwater"	0.155155
"Michael Murphy"	0.147567
al-Baz	0.145945
"Danny Yatom"	0.144526
"Dore Gold"	0.141431
"Samuel Berger"	0.133235
el-Baz	0.13294
"Yitzhak Molcho"	0.124472
"George Stephanopoulos"	0.114276
"Zbigniew Brzezinski"	0.112185
"Bruce Teitelbaum"	0.110972
"Bobby Brown"	0.105314
Baz	0.101086
"Tony Coelho"	0.100944
"Celinda Lake"	0.0991748
"Daim Zainuddin"	0.0985347
"Sidney Blumenthal"	0.0961168
"Salim Saleh"	0.0905747
"Abby Joseph Cohen"	0.0883068
"Richard Hatch"	0.0851837
"Richard Smith"	0.0824606
"Sandy Berger"	0.0772234
Carville	0.077121
"Bruce Lindsey"	0.076954
"Barry McCaffrey"	0.0767735
"IMS Health"	0.0720954
"Jeffrey Wigand"	0.0706028
"William Kristol"	0.0682395
Squier	0.0678261
Mandelson	0.0674908
"Anthony Lake"	0.067482
"Robert Aventajado"	0.0672115
"John Koskinen"	0.0672094
"Clint Reilly"	0.0666709
"Vladimiro Montesinos"	0.0662047
"Jaswant Singh"	0.0635511
"Anatoly Chubais"	0.0627178
Vidal	0.061874
"Saeed Hajjarian"	0.0590941
Barbour	0.0589356
"Maria Hsia"	0.0578474
"Li Ruihuan"	0.0574503
scheduler	0.056188
Hajjarian	0.055777
"Brent Scowcroft"	0.0556953
Coelho	0.05517
Allard	0.053974
"Ramsey Clark"	0.0534931
Cianci	0.0530893
"Mickey Kantor"	0.0530678
"Wang Daohan"	0.0520726
"Fehmi Agani"	0.0516913
"David Smith"	0.0509304
"Karenna Gore Schiff"	0.0504701
Muoi	0.0492937
"Marc Racicot"	0.0476741
"John Taylor"	0.047511
"Jim Thomas"	0.047296
"Jack Quinn"	0.0460666
"Barry R. McCaffrey"	0.0450353
"Peter Mandelson"	0.0446603
"Bora Milutinovic"	0.0445112
Webcam	0.043705
"Ernie Zampese"	0.0433308
Rudman	0.0430721
"Wang Tao"	0.0430487
Caddell	0.0423452
Myhrvold	0.0417701
"Boris Berezovsky"	0.041729
Arad	0.0413366
"Al Sharpton"	0.0412883
Schmalensee	0.0406462
))
("Bob Smith" (desc 7841.87) (sims
"Orrin Hatch"	0.250283
"John Kasich"	0.244824
"Gary Bauer"	0.236212
"Dan Quayle"	0.234276
"Lamar Alexander"	0.234152
"Warren Rudman"	0.224096
"Judd Gregg"	0.220762
"Patrick Buchanan"	0.197146
"Elizabeth Dole"	0.195074
"Steve Forbes"	0.194452
"Alan Keyes"	0.190529
"Pat Buchanan"	0.190414
"Phil Gramm"	0.173896
"John Ashcroft"	0.170137
"Robert Smith"	0.168967
"Connie Mack"	0.168492
"Charles Grassley"	0.158677
"Fred Thompson"	0.154616
"Arlen Specter"	0.153163
"Pete Domenici"	0.143983
"Kay Bailey Hutchison"	0.143513
"John McCain"	0.143342
"Mike DeWine"	0.14217
"Jon Kyl"	0.140482
"Chuck Hagel"	0.139983
"Rick Santorum"	0.134718
"Dan Coats"	0.132969
"Sam Brownback"	0.131295
"Spencer Abraham"	0.130818
"Tom Campbell"	0.129231
"Jack Kemp"	0.12588
"Ted Stevens"	0.12275
"Richard Lugar"	0.122369
"Gordon Smith"	0.121077
"Bill Frist"	0.120303
"Olympia Snowe"	0.11953
"Slade Gorton"	0.119191
"Jesse Helms"	0.118254
"John Danforth"	0.116595
"John Chafee"	0.11637
"Paul Coverdell"	0.115626
"Mitch McConnell"	0.115401
"Peter Fitzgerald"	0.115138
"James Inhofe"	0.112904
"John Warner"	0.112364
"Patrick J. Buchanan"	0.111366
"John Breaux"	0.111357
"Rod Grams"	0.110477
"Susan Collins"	0.108648
"Richard Shelby"	0.107992
"Paul Wellstone"	0.1071
"Bob Graham"	0.106536
"Craig Thomas"	0.105604
"Lauch Faircloth"	0.103681
"Tom Harkin"	0.102966
"John Kerry"	0.102911
"Bob Dole"	0.102332
"Lowell Weicker"	0.102274
"Bill Bradley"	0.102264
"Strom Thurmond"	0.100933
"Jeanne Shaheen"	0.100922
"Bernard Sanders"	0.100175
"Don Nickles"	0.0992599
"Robert Torricelli"	0.0984575
"Joseph Lieberman"	0.0982262
"Ben Nighthorse Campbell"	0.0965168
"Joe Lieberman"	0.09577
"Barbara Boxer"	0.0955232
"Linda Smith"	0.0954239
Quayle	0.0952383
"Tim Hutchinson"	0.094953
"George Voinovich"	0.0946753
"Russell Feingold"	0.0939501
"Ross Perot"	0.0928708
"Bob Kerrey"	0.0927111
"Larry Craig"	0.09225
"Bob Franks"	0.0901461
"Joseph I. Lieberman"	0.0899324
"Dianne Feinstein"	0.0891095
"Paul Tsongas"	0.0890245
"Bill Archer"	0.0888084
"Daniel Patrick Moynihan"	0.0879242
"William Roth"	0.0878514
"Joseph Biden"	0.0878456
"Jeff Sessions"	0.087434
"Edward M. Kennedy"	0.0873425
"Henry Hyde"	0.0871777
Bauer	0.0867205
hatch	0.0863207
"Max Baucus"	0.085887
"Sam Nunn"	0.0852884
"Charlie Norwood"	0.0852701
Forbes	0.0851782
"Charles Schumer"	0.0851646
"Patrick Leahy"	0.0851102
"Pat Robertson"	0.0849863
"Bob Barr"	0.0849522
DOLE	0.0849353
"John Hagelin"	0.0847556
"Carl Levin"	0.0846806
"Pat Roberts"	0.0845553
"Tillie Fowler"	0.0845101
"Frank Murkowski"	0.0841434
"Edward Kennedy"	0.0840789
"Robert Byrd"	0.0837194
"Democrat Bill Bradley"	0.083623
"Kit Bond"	0.0833532
R-N.H.	0.0833472
"George W. Bush"	0.0830093
"James Jeffords"	0.0827815
"Gary Hart"	0.0827225
"Jesse Ventura"	0.0822989
"J.C. Watts"	0.0821858
"Charles E. Schumer"	0.0814295
"Robert F. Kennedy"	0.0813399
"Donald Trump"	0.0808395
"Mark Foley"	0.0806454
"Dan Burton"	0.080102
"Jennifer Dunn"	0.0800523
"Matt Fong"	0.0793324
Keyes	0.0790068
"Guy Millner"	0.078986
"Olympia J. Snowe"	0.0783813
"Ralph Nader"	0.0783558
"Colin Powell"	0.0781694
Gramm	0.0780944
"George Mitchell"	0.0779685
R-Ariz.	0.0774983
"Conrad Burns"	0.0772672
"Bill McCollum"	0.0769642
"Rick Lazio"	0.075886
"Frank Lautenberg"	0.0748579
"Lamar Smith"	0.0746687
"George Bush"	0.0742406
"Christopher Shays"	0.0741823
"Ernest Hollings"	0.0741416
Buchanan	0.0738338
"Matt Salmon"	0.0736636
"Jim Bunning"	0.0734288
"Ron Wyden"	0.0727658
"Christopher Smith"	0.0727444
"Arizona Republican"	0.0720743
"Russ Feingold"	0.072059
"Lincoln Chafee"	0.0720361
"Jim Kolbe"	0.0716708
"Jim Jeffords"	0.0713871
"Joseph McCarthy"	0.0711675
"Barbara Mikulski"	0.0709924
"Robert C. Byrd"	0.0708361
"Barry Goldwater"	0.0708134
"Benjamin Gilman"	0.0707301
"Tom Daschle"	0.0705671
"Richard Durbin"	0.0700255
"Harry Reid"	0.0699261
"Christopher Cox"	0.069749
"Thad Cochran"	0.0687501
"Trent Lott"	0.068647
R-Ohio	0.0686181
"Christopher Dodd"	0.0682219
"Tom Ridge"	0.0676736
"Dale Bumpers"	0.0674253
"North Carolina Republican"	0.0672942
"Charles Robb"	0.0670171
Alexander	0.0667758
Helms	0.0666228
"Wayne Allard"	0.0665626
Ashcroft	0.0664846
"Jim Gilmore"	0.066164
"Tim Johnson"	0.0658474
"Lindsey Graham"	0.0655564
"Patty Murray"	0.0655439
"Pete Wilson"	0.0654839
McConnell	0.065363
"Tom DeLay"	0.0653314
"Lloyd Bentsen"	0.0651236
"Mark Sanford"	0.0651078
"Herb Kohl"	0.0642323
R-Okla.	0.0637515
"James Soong"	0.0636666
"Ted Kennedy"	0.0632178
R-N.M.	0.0629857
"Al Gore"	0.0629203
"Tom Coburn"	0.0627563
"Porter Goss"	0.0623923
"Steve Largent"	0.0620651
"Evan Bayh"	0.0619234
Inhofe	0.061446
"John Engler"	0.0614211
"Howard Baker"	0.0613676
"Jim Nicholson"	0.0610074
"Rick Perry"	0.0608957
"Robert Bennett"	0.060653
"Richard Bryan"	0.0605264
"Dick Durbin"	0.0605229
"John Boehner"	0.0604788
"Alejandro Toledo"	0.060465
R-Iowa	0.0601216
"Condoleezza Rice"	0.0593167
"George McGovern"	0.0590749
Lott	0.0588254
))
("Bob Sura" (desc 1173.49) (sims
"Derek Anderson"	0.195516
"Zydrunas Ilgauskas"	0.18815
"Brevin Knight"	0.186846
"Shawn Kemp"	0.159684
"Lamond Murray"	0.14289
"Larry Hughes"	0.142836
"Bonzi Wells"	0.141956
"Robert Pack"	0.132289
"Doug Christie"	0.128407
"Jerry Stackhouse"	0.123511
"Isaiah Rider"	0.123163
"Eric Snow"	0.121112
"Voshon Lenard"	0.120175
"Michael Finley"	0.119755
"Ray Allen"	0.115838
"Michael Redd"	0.115439
"Bimbo Coles"	0.114062
"Jeff Trepagnier"	0.109429
"Nick Anderson"	0.109364
"Anthony Johnson"	0.108632
"Tariq Abdul-Wahad"	0.107746
"Shareef Abdur-Rahim"	0.107566
"Terrell Brandon"	0.106927
"Darrell Armstrong"	0.106116
"Andre Miller"	0.105627
"David Wesley"	0.102219
"Bobby Phills"	0.100426
"Brandon Granville"	0.0998817
"Hersey Hawkins"	0.0994463
"Terry Porter"	0.0979191
"Matt Santangelo"	0.0976322
"Rex Chapman"	0.0960907
"Eddie House"	0.0960457
"Mario Elie"	0.0936791
"Brent Barry"	0.0923895
"Chris Childs"	0.0923651
"Vitaly Potapenko"	0.0920161
"Greg Anthony"	0.0910751
"Jason Kidd"	0.0909782
"George McCloud"	0.0900641
"Howard Eisley"	0.0897525
"Rod Strickland"	0.0896148
"Michele Timms"	0.0896056
"Jimmy Oliver"	0.0876551
"Penny Hardaway"	0.0875307
"Adrian Griffin"	0.0869711
"Chris Mills"	0.086933
"Walt Williams"	0.08682
"Hu Weidong"	0.0867435
"Eric Piatkowski"	0.0866461
"Nikki McCray"	0.0859403
"Jeff Hornacek"	0.0856035
"Antoine Walker"	0.0854189
"Michael Dickerson"	0.0842927
"Nick Van Exel"	0.0838332
"Rodney Rogers"	0.0831187
"Sherman Douglas"	0.0829265
"Steve Smith"	0.0827713
"Mark Williams"	0.082735
"Courtney Alexander"	0.0826002
"Malik Sealy"	0.0823115
"Jason Williams"	0.0817312
"Eric Murdock"	0.0804839
"Sam Cassell"	0.0802647
"Mookie Blaylock"	0.0801642
"Gary Payton"	0.0798305
"Darrick Martin"	0.079661
"Jim Jackson"	0.079568
"Sam Mack"	0.0789429
"Mike Bibby"	0.0788595
"Travis Best"	0.0782522
"Cuttino Mobley"	0.0780245
"Shammond Williams"	0.0761605
"Dawn Staley"	0.0759683
"Allan Houston"	0.0752692
"Joe Dumars"	0.0748181
"Wayne Turner"	0.0747388
"Matt Maloney"	0.0747333
"Richard Jefferson"	0.074633
"Ron Harper"	0.0743993
"Kerry Kittles"	0.0740994
Trepagnier	0.0738448
"Tom Gugliotta"	0.0728604
"B.J Armstrong"	0.0725381
"Kris Clack"	0.0724174
"Dan Majerle"	0.072058
"Brian Grant"	0.07196
"Jalen Rose"	0.0717013
"Teresa Weatherspoon"	0.0712208
"Malik Rose"	0.071015
"Stephon Marbury"	0.0704111
"Yolanda Griffith"	0.0698279
"Jaren Jackson"	0.0697171
"Ron Mercer"	0.0694776
"Tyrone Nesby"	0.0692146
"Cliff Robinson"	0.0687176
"Dana Barros"	0.0686295
"Derek Fisher"	0.0686111
"Jamal Mashburn"	0.0685637
"Billy Knight"	0.0685342
"Ike Austin"	0.0680415
"Kevin Johnson"	0.0680301
"Kenny Anderson"	0.0678567
"Khalid El-Amin"	0.0676415
"Dion Glover"	0.067468
"Cynthia Cooper"	0.066669
"Shandon Anderson"	0.0665744
"Scoonie Penn"	0.0662957
"Terry Cummings"	0.0660519
"Rasheed Wallace"	0.0658193
"Steve Nash"	0.0655311
"Toby Bailey"	0.0652453
"Avery Johnson"	0.0651574
"Brent Price"	0.0651325
"Bryon Russell"	0.0648951
"Ukari Figgs"	0.0648516
"Kendall Gill"	0.0646766
"Allen Iverson"	0.0644743
"Danny Fortson"	0.0635895
"Damon Stoudamire"	0.0633984
"Chauncey Billups"	0.0633814
"Tim Hardaway"	0.0632305
"Joe Smith"	0.0623012
"Rico Hines"	0.0622492
"Charlie Ward"	0.0622018
"Hubert Davis"	0.0620846
"Kim Perrot"	0.0619434
"Steve Francis"	0.0619041
"Gene Williams"	0.0613874
STALEY	0.0612933
"Chris Smith"	0.0612286
"Donyell Marshall"	0.0611595
"Bryce Drew"	0.0610665
"Brian Shaw"	0.0607894
"Othella Harrington"	0.0606997
Turgeon	0.0606893
Mashburn	0.0591866
"Ray Young"	0.0591149
"Ryan Bailey"	0.0590039
"Stacey Augmon"	0.0583853
"Mark Jackson"	0.0579598
"Alan Henderson"	0.0578844
"Damian Jackson"	0.0576794
"Sheryl Swoopes"	0.0575289
"Ricky Moore"	0.0572237
"Chris Mullin"	0.0569272
"Mitch Richmond"	0.0568066
"Tyronn Lue"	0.0564619
"Heath Irwin"	0.0563478
"Derrick Coleman"	0.0563105
"Erick Barkley"	0.0561763
"Ed Gray"	0.056173
"Clarence Weatherspoon"	0.0554391
"Antonio Davis"	0.0553109
"Everett McIver"	0.0553085
"Vernon Maxwell"	0.0551204
"Jason Terry"	0.0549727
"Otis Thorpe"	0.054934
"Herb Williams"	0.0548993
"Antonio Langham"	0.054736
"Dale Ellis"	0.0541708
"Jennifer Gillom"	0.0539745
"Maurice Taylor"	0.0539421
"Steve Kerr"	0.053941
"Keith Van Horn"	0.053594
"Eric Owens"	0.0535883
"Larry Johnson"	0.0534471
"Eddie Jones"	0.0533646
"Randy Brown"	0.0533617
Croshere	0.0532175
"Anfernee Hardaway"	0.0530608
"DeLisha Milton"	0.0528817
"Derek Harper"	0.0528537
"Charles Oakley"	0.0526004
Nailon	0.0523762
"Matt Geiger"	0.0523536
"John Stockton"	0.0522837
Andreychuk	0.0520032
Zamorano	0.0519573
"Brian Skinner"	0.0519019
"Kevin Garnett"	0.0515682
"Anthony Mason"	0.051476
"Reggie Miller"	0.0514346
Abdur-Rahim	0.0512788
Scalabrine	0.0512492
"Toni Kukoc"	0.0511106
"Clifford Robinson"	0.0510503
Salas	0.0510287
"Raef LaFrentz"	0.051016
"Bruce Bowen"	0.0509928
"Chris Gatling"	0.0509165
Hornacek	0.0501364
"Richard Hamilton"	0.0499735
"Ken Kocher"	0.049615
Ausmus	0.0494848
"Bruce Matthews"	0.0494133
"Tim Thomas"	0.0492908
"big cat"	0.0492738
"Nate Newton"	0.0492286
"Gabe Muoneke"	0.0491898
))
("Bob Taft" (desc 1799.85) (sims
"Jim Hodges"	0.167821
"George Voinovich"	0.161713
"Tommy Thompson"	0.148912
"Christine Todd Whitman"	0.145035
"John Engler"	0.144369
"Frank Keating"	0.142766
"Buddy MacKay"	0.140865
"George Ryan"	0.137919
"Parris Glendening"	0.135516
"Rick Perry"	0.134902
"George E. Pataki"	0.134269
"Mike Leavitt"	0.132262
"Roy Barnes"	0.132128
"Don Siegelman"	0.131629
Sutiyoso	0.127956
"Jeanne Shaheen"	0.126498
"John G. Rowland"	0.126205
"Jeb Bush"	0.124704
"Gray Davis"	0.123826
"Bill Owens"	0.122417
"Gary Johnson"	0.120505
"John Rowland"	0.119921
"John Boehner"	0.119565
"Paul Cellucci"	0.119375
"Marc Racicot"	0.117919
"Jim Gilmore"	0.117842
"Jane Hull"	0.116261
"Mike DeWine"	0.113854
"Roy Romer"	0.112276
"Lawton Chiles"	0.112148
"Jim Guy Tucker"	0.111324
"Jim Florio"	0.110681
"Tom Ridge"	0.106854
"George Pataki"	0.106129
"Pete Wilson"	0.104416
"Warren Christopher"	0.103206
"Jim Hunt"	0.100141
"William Weld"	0.0995795
Engler	0.0989542
"Christie Whitman"	0.0978771
"John Kasich"	0.0977946
"David Beasley"	0.0973356
"Fob James"	0.095811
"Steve Chabot"	0.0950796
"Mike Huckabee"	0.0926362
"Jesse Ventura"	0.092294
Lockyer	0.0922559
"Zell Miller"	0.0907273
"Tom Vilsack"	0.0896961
"Mike Foster"	0.0889896
Taft	0.0889002
Voinovich	0.0878009
Klestil	0.0875959
"Pedro Rossello"	0.0864823
"Lamar Alexander"	0.0853904
"Bill Graves"	0.0814455
"Scott Harshbarger"	0.0804758
"Thomas Pickering"	0.0804417
Rodionov	0.08003
"Mario Cuomo"	0.0797852
"Strobe Talbott"	0.0789682
"Gary Locke"	0.0782435
"Kathleen Kennedy Townsend"	0.0781867
Meissner	0.0774682
Ingraham	0.0765917
"Fred Thompson"	0.0757763
"Mark Taylor"	0.0755912
"Lincoln Chafee"	0.0752005
Hamid	0.0747866
"Michael Dukakis"	0.0746669
Levitt	0.074069
Bedie	0.0737812
Safir	0.0736049
Ciampi	0.072838
Pataki	0.0727662
"George Wallace"	0.0725086
"Mel Carnahan"	0.072422
Whitman	0.0722181
Ruehe	0.0717226
"Madeleine Albright"	0.0708019
"Alexander Lebed"	0.0707416
"Vicente Fox"	0.0704613
"Ann Richards"	0.0703644
Groscost	0.0702797
"Jerry Brown"	0.0700885
"Edwin Edwards"	0.0699132
"Martin Luther King III"	0.0697998
Kasoulides	0.0695248
Arens	0.0694997
"Spencer Abraham"	0.0694945
"Lowell Weicker"	0.069274
Icahn	0.0689562
Lahoud	0.0689256
"James Soong"	0.0687144
"John Connally"	0.0682226
Aleman	0.0671987
Burleigh	0.0671647
Carollo	0.0670832
"Eric Holder"	0.0666558
"Mitt Romney"	0.0663964
"Bob Bullock"	0.0661793
"Krishna Prasad Bhattarai"	0.0661444
Ftorek	0.0661322
Cardoso	0.065815
"Bruce Babbitt"	0.0656913
"Paul Patton"	0.0656218
Lamberth	0.0655294
"Henry Kissinger"	0.0653125
"Betsy McCaughey Ross"	0.0649617
Cellucci	0.0647006
Majali	0.0645624
Barnes	0.0640444
"Deve Gowda"	0.0640142
"Garry Mauro"	0.0637806
"Tom Campbell"	0.06369
Moratinos	0.0635746
Pickering	0.0633911
"Evan Bayh"	0.0632871
"Perez Balladares"	0.0632821
Blatter	0.0632437
"James Sensenbrenner"	0.0632143
Klima	0.0629455
"Ben Nighthorse Campbell"	0.0627518
Abdel-Meguid	0.0626477
"King Sihanouk"	0.0622643
Katsav	0.0619905
"Stuart Eizenstat"	0.0617097
"welfare worker"	0.0616594
Estrada	0.0615996
Leavitt	0.0613207
"Andrew Cuomo"	0.0611515
"Dai Xianglong"	0.0609491
"Ricardo Lagos"	0.0609122
"Nelson Rockefeller"	0.0608149
el-Ganzouri	0.0607169
"Bill Lockyer"	0.0606373
Ohlmeyer	0.0605401
"Nur Misuari"	0.0603178
Murayama	0.0603049
"Connie Mack"	0.0600673
Velayati	0.0600511
"Clint Reilly"	0.0600048
Siazon	0.059991
"James Baker"	0.0596544
Juppe	0.0594855
Trulock	0.059428
Lipponen	0.0594135
"Gerhard Schroeder"	0.0593196
Korman	0.0591356
Millner	0.0590594
Meguid	0.0589391
"defense lawyers"	0.0588913
Rowland	0.0588876
Pustovoitenko	0.0586763
Havelange	0.0586462
Deuba	0.0586401
Kok	0.0585616
"Patrick Kennedy"	0.0585349
"Chief Executive Tung Chee-hwa"	0.0583317
Zou	0.0583231
Jonah	0.0577801
Peretz	0.0576826
Luzhkov	0.0576242
"Elizabeth Dole"	0.0575645
Banzer	0.0575287
Weldon	0.0574922
Akayev	0.0574304
Karimov	0.0572194
Bouteflika	0.0570698
Sezer	0.0567022
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.056647
Rossello	0.0566039
Madeleine	0.0565553
Kuchma	0.0564356
"Peter Fitzgerald"	0.0563946
Muluzi	0.0563028
"George Bush"	0.0562429
Sensenbrenner	0.0560776
Khai	0.0560582
ROMNEY	0.0558762
"Simon Wiesenthal Center"	0.0557593
Jovanovic	0.0556789
Bochy	0.0556763
"Vojislav Kostunica"	0.0556463
Gatling	0.0555974
"government minister"	0.0555957
Cianci	0.0555522
"Yuri Maslyukov"	0.0555349
Riordan	0.055442
"Lokendra Bahadur Chand"	0.0554401
"Jim Kolbe"	0.0553991
Imperatori	0.0552813
Scalfaro	0.0551704
Shevardnadze	0.0550569
Sato	0.0550319
"Cuauhtemoc Cardenas"	0.0547458
"Janet Reno"	0.054744
"Thabo Mbeki"	0.0546603
ACLU	0.0546591
"Bob Franks"	0.0546186
))
("Bob Tway" (desc 3674.67) (sims
"Lee Janzen"	0.257003
"Justin Leonard"	0.253992
"Hal Sutton"	0.243061
"Steve Elkington"	0.227187
"Phil Mickelson"	0.21714
"Bob Estes"	0.215867
"Davis Love III"	0.215114
"Jim Furyk"	0.21312
"Nick Price"	0.211557
"Mark O'Meara"	0.211004
"Jesper Parnevik"	0.208381
"Fred Couples"	0.20628
"Colin Montgomerie"	0.204163
"Jeff Sluman"	0.202346
"Jay Haas"	0.20006
"Tom Lehman"	0.199798
"Steve Stricker"	0.198735
"Billy Mayfair"	0.19684
"Vijay Singh"	0.196111
"Steve Pate"	0.19569
"Chris Perry"	0.187664
"Larry Mize"	0.186655
"Nick Faldo"	0.186547
"Andrew Magee"	0.177254
"Mark Calcavecchia"	0.177186
"Lee Westwood"	0.175617
"Ernie Els"	0.174975
"Paul Azinger"	0.172635
"Payne Stewart"	0.16996
"Scott Hoch"	0.169497
"Bernhard Langer"	0.169178
"Stuart Appleby"	0.168334
"John Daly"	0.16737
"David Duval"	0.166317
"Jeff Maggert"	0.165724
"Billy Andrade"	0.16159
"Jose Maria Olazabal"	0.159662
"Sergio Garcia"	0.157467
"John Cook"	0.155914
"Ian Woosnam"	0.154286
"Miguel Angel Jimenez"	0.153005
"Loren Roberts"	0.151107
"Mike Weir"	0.146832
"John Huston"	0.145716
"Shigeki Maruyama"	0.144288
"Corey Pavin"	0.143876
"Greg Norman"	0.139422
"Davis Love"	0.138321
"Kirk Triplett"	0.135664
"Frank Nobilo"	0.133463
"Craig Stadler"	0.131432
Montgomerie	0.129147
"Tom Watson"	0.127674
"Steve Jones"	0.127553
"J.P. Hayes"	0.12448
"Tom Kite"	0.123774
"Fuzzy Zoeller"	0.12234
"Stewart Cink"	0.1191
"Fred Funk"	0.116799
"Peter Jacobsen"	0.116612
"Darren Clarke"	0.116393
"Paul Lawrie"	0.114228
"Carlos Franco"	0.113849
"Olin Browne"	0.111334
"Curtis Strange"	0.110698
"David Frost"	0.110077
"Mark Brooks"	0.109458
"Craig Parry"	0.107341
"Bill Glasson"	0.103675
Mickelson	0.101712
"Rocco Mediate"	0.0977054
"Tiger Woods"	0.0969027
"Scott Verplank"	0.0938547
Parnevik	0.0931911
"Scott Dunlap"	0.0913656
"Tim Herron"	0.084641
"Thomas Bjorn"	0.0843552
"Matt Kuchar"	0.0826007
Janzen	0.0814696
O'Meara	0.0813445
"HANK KUEHNE"	0.0802364
Lehman	0.0784607
Stricker	0.0776511
Langham	0.0774026
"Irina Slutskaya"	0.0758002
Gogel	0.0753691
Azinger	0.0734124
"Hale Irwin"	0.0717531
"Michael Weiss"	0.0715581
Leonard	0.0702342
Bjorn	0.0685019
"Seve Ballesteros"	0.0684406
"Andrew Coltart"	0.0684235
Herron	0.0679941
"Ben Crenshaw"	0.0679693
Furyk	0.0679142
el	0.067616
"Gary Player"	0.0676076
Pate	0.0666735
Olazabal	0.0657068
"Kostya Tszyu"	0.0653384
"Larry Nelson"	0.0652627
"Brad Faxon"	0.0650931
Musashimaru	0.0632783
Westwood	0.0627974
Singh	0.0626453
"Brian Watts"	0.0613616
Duval	0.0606637
Huston	0.0602745
Maggert	0.0586501
"Larry Holmes"	0.0577479
"Dottie Pepper"	0.0576248
Stadler	0.0574867
"Arnold Palmer"	0.0566802
"Donna Andrews"	0.0565506
"Eddie Cheever"	0.056389
"Seibu Lions"	0.0561133
Garcia	0.0556096
"Jack Nicklaus"	0.0555562
"Meg Mallon"	0.0553335
Mayfair	0.0550516
"Dong Jiong"	0.0542636
Mallon	0.0538784
"Johnny Tapia"	0.0533723
Elkington	0.053191
"Bobby Rahal"	0.0528027
"Casey Martin"	0.0519965
"Jim Colbert"	0.0518591
Takanonami	0.0518283
"Buster Douglas"	0.0513775
"Laura Davies"	0.050666
"Roger Federer"	0.0504387
"Kenny Brack"	0.0495733
"Alex Zanardi"	0.0495215
"Michael Stich"	0.0494671
"Paul Tergat"	0.0492529
"Wang Yifu"	0.0491092
"Arie Luyendyk"	0.048818
"Betsy King"	0.0487996
Bruguera	0.0483241
"Liselotte Neumann"	0.0480419
"Li Xuemei"	0.0478788
"Laurent Brochard"	0.0476258
"Oliver McCall"	0.0473806
Cink	0.0473114
III	0.0470642
Faldo	0.0465822
Hoch	0.0461294
"Li Jiajun"	0.0460642
Takanohana	0.0460161
"Roy Jones Jr."	0.045936
"Joe Frazier"	0.0453882
"Fernando Vargas"	0.0452825
"Paulie Ayala"	0.0452693
"Xia Xuanze"	0.0448473
"Christine Arron"	0.0447471
"Chen Lu"	0.0444759
"Mark James"	0.0442927
"Joko Suprianto"	0.0442349
"Deon Hemmings"	0.0441398
"Se Ri Pak"	0.04402
"Derrick Adkins"	0.0433717
"David Reid"	0.0432305
"Abraham Olano"	0.0429502
"Pat Rafter"	0.0429318
"Darrell Waltrip"	0.0429228
"Lee Trevino"	0.042719
Jimenez	0.0426988
"Johan Museeuw"	0.0426027
Vasser	0.0425888
Intl	0.0425837
"Stacy Dragila"	0.042537
"Anatoly Karpov"	0.04246
"Jarmo Sandelin"	0.0422347
"Gil Morgan"	0.0419405
Inkster	0.0418986
"Todd Eldredge"	0.0417439
"Moses Tanui"	0.0417391
"Kjetil Andre Aamodt"	0.0416943
"Shanghai Shenhua"	0.0416549
"Athletic Bilbao"	0.0415735
"Sergi Bruguera"	0.0413768
Sutton	0.0413127
"Vanessa Atler"	0.0412078
"Candra Wijaya"	0.0411407
"Camilla Martin"	0.0409387
three-putted	0.0407962
"Al Unser Jr."	0.0405397
Maruyama	0.0404195
"Johnny Miller"	0.0403808
"Oksana Kazakova"	0.0403691
"Wayne Ferreira"	0.0403425
"Liu Guoliang"	0.040161
"Miguel Indurain"	0.0401279
))
("Bob Whitfield" (desc 2141.71) (sims
"Travis Hall"	0.300829
"Ephraim Salaam"	0.299872
"Shane Dronett"	0.28251
"Lester Archambeau"	0.228269
"Lomas Brown"	0.215639
"Jumbo Elliott"	0.215379
"Orlando Brown"	0.199886
"Jessie Tuggle"	0.19661
"Eugene Robinson"	0.184468
"Mark Tuinei"	0.179766
"Gene Williams"	0.177248
"John Tait"	0.174491
"Bruce Armstrong"	0.172192
"Chuck Smith"	0.171707
"Erik Williams"	0.167533
"Jason Fabini"	0.167038
"Flozell Adams"	0.166693
"Larry Allen"	0.158714
"Solomon Page"	0.155234
"Cornelius Bennett"	0.154855
"Ray Buchanan"	0.148441
"Bruce Matthews"	0.146727
"Eric Swann"	0.141813
"Kris Farris"	0.141525
"Terance Mathis"	0.140749
"O.J Santiago"	0.138422
"Henri Crockett"	0.137404
"Michael Booker"	0.131056
"Bryant Young"	0.129065
"Tony Hutson"	0.128525
"William White"	0.128366
"Heath Irwin"	0.126311
"L.J Shelton"	0.124251
"Morten Andersen"	0.123242
"John Randle"	0.121218
"Warren Sapp"	0.120533
"Everett McIver"	0.115003
"Michael Strahan"	0.11459
"Tony Martin"	0.113791
"Pete Holland"	0.113724
"Sam Adams"	0.111685
"Rich Brooks"	0.108419
"Dana Stubblefield"	0.106022
"Leon Lett"	0.105024
"Alonzo Spellman"	0.104934
"Steve DeBerg"	0.102696
"Cortez Kennedy"	0.100229
"Chris Chandler"	0.100193
"Nate Newton"	0.0988931
Farr	0.0984219
Tuggle	0.0966816
"Chad Hennings"	0.0964893
"Jamal Anderson"	0.0954589
"Chad Eaton"	0.0946621
"Michael Myers"	0.0920706
"Henry Thomas"	0.0908786
"Tony Graziani"	0.0852681
"Mike Jones"	0.0843906
"Aaron Williams"	0.0838721
"Dimitrius Underwood"	0.0830951
"Andre Rison"	0.081524
"Aeneas Williams"	0.0811937
"Brandon Mitchell"	0.0798741
"June Jones"	0.0789172
"Tim Dwight"	0.0760584
"Mark Smith"	0.0749197
"Keith Brooking"	0.0697772
"Reggie White"	0.0696405
"Trace Armstrong"	0.0671176
"Steve Atwater"	0.0657289
"Shannon Sharpe"	0.0654591
mini-camp	0.0654193
"Max Lane"	0.063799
D'Amico	0.0632351
"Ken Kocher"	0.0627183
"line coach"	0.0619559
"Mike Sullivan"	0.0604347
"Derek Harper"	0.0603991
"James Jones"	0.06003
"Jeff George"	0.0586558
"Derrick Alexander"	0.0565188
"Rae Carruth"	0.0560783
"Ebenezer Ekuban"	0.0552285
"Chris Palmer"	0.0545956
"Chris Calloway"	0.0538469
"Terry Allen"	0.0531208
"Ronnie Bradford"	0.0529188
Pulsipher	0.0516727
"Rich Rodriguez"	0.051461
"Darrell Green"	0.0513249
"Dan Dierdorf"	0.0511875
Dragila	0.0506608
"Trung Canidate"	0.0506097
Lalas	0.0505975
Gartner	0.0499553
"Doug Pederson"	0.049191
"JEVON KEARSE"	0.0490738
"Hu Weidong"	0.0489789
"Courtney Brown"	0.0487917
"Jason Schmidt"	0.0487568
"Trent Green"	0.0483019
"Ty Detmer"	0.0481345
Knievel	0.0472777
"Mark Williams"	0.0471378
"Gary Kubiak"	0.0469351
"Brian Billick"	0.0466591
Boesak	0.0466354
"Ricky Watters"	0.0466064
"Kent Graham"	0.0465727
Mercker	0.046474
F@@	0.0455895
Donato	0.0451388
"Cris Carter"	0.0450014
"El Guerrouj"	0.0449854
"Julie Foudy"	0.0449312
libero	0.0449104
"Ken Daneyko"	0.0443742
Rusch	0.0442159
"Eddie Murray"	0.0440913
Dunston	0.0440018
play-calling	0.0436395
"Cindy McCain"	0.0435629
"Phillippi Sparks"	0.0434514
Kazhegeldin	0.0429578
"Michelle Akers"	0.0428987
"Jason Taylor"	0.0426728
Contreras	0.0425924
Montalvo	0.0423502
"Don Zimmer"	0.0422721
Mathis	0.0421711
Mims	0.0420449
Nakata	0.0419711
"Keyshawn Johnson"	0.0418599
cornerbacks	0.0417754
Cabrera	0.0417477
"Tony Adams"	0.0415616
"Orel Hershiser"	0.0414793
"Emanuel Steward"	0.041439
Salaam	0.0414313
"Cliff Ronning"	0.0411492
"Ernie Zampese"	0.0410943
Roque	0.0406217
Hollins	0.0405643
Skiles	0.0405499
"Karim Abdul-Jabbar"	0.040304
"Ron Harper"	0.0402416
"Marshall Faulk"	0.0400781
"Eddie George"	0.0400186
))
("Bob Wickman" (desc 1453.59) (sims
"Jason Bere"	0.32605
"STEVE WOODARD"	0.289035
"Rick Aguilera"	0.258461
"Matt Mantei"	0.248023
"Mike Timlin"	0.234939
"Kazuhiro Sasaki"	0.226522
"Todd Jones"	0.223641
"Danny Graves"	0.222373
"Paul Shuey"	0.210212
"Bill Pulsipher"	0.208657
"Ricky Bottalico"	0.207494
"Jeff Brantley"	0.205469
"Byung-Hyun Kim"	0.203949
"Ugueth Urbina"	0.203938
"Robb Nen"	0.201184
"Billy Taylor"	0.201107
"Mark Leiter"	0.200856
"Heathcliff Slocumb"	0.196184
"DOUG JONES"	0.193544
"Randy Myers"	0.190885
"Scott Karl"	0.187414
"Jose Mesa"	0.186254
"Troy Percival"	0.178144
"Mike Williams"	0.177175
"Scott Radinsky"	0.172949
Wickman	0.171453
"Jason Isringhausen"	0.167683
"John Wetteland"	0.166039
"Jamey Wright"	0.165936
"Bryce Florie"	0.164067
"Armando Benitez"	0.163337
"Jeff Shaw"	0.162378
"Rod Beck"	0.161314
"Jesse Orosco"	0.159873
"Roberto Hernandez"	0.157679
"Scott Williamson"	0.156076
"Russ Springer"	0.155008
"Trevor Hoffman"	0.150606
"Octavio Dotel"	0.148797
"Kerry Ligtenberg"	0.148161
"Mike Jackson"	0.147686
"Terry Adams"	0.146787
"Billy Wagner"	0.145691
"Dan Miceli"	0.145139
"Al Levine"	0.145058
"Scott Sullivan"	0.144766
"Gregg Olson"	0.142721
"Alan Embree"	0.142342
"Paul Abbott"	0.142304
"Derek Lowe"	0.141083
"Woody Williams"	0.13987
"Mark Petkovsek"	0.13931
"Tom Gordon"	0.13902
"Rick White"	0.138473
"Matt Herges"	0.138357
"Wil Cordero"	0.138038
"Mark Gardner"	0.136735
"John Snyder"	0.136291
"John Hudek"	0.136159
"Darren Holmes"	0.134616
"John Franco"	0.133705
"Jay Powell"	0.133377
"Antonio Osuna"	0.131824
"Jose Jimenez"	0.130771
"Jose Paniagua"	0.130452
"Jason Christiansen"	0.130159
"Kirk Rueter"	0.128662
"Mariano Rivera"	0.128353
"Turk Wendell"	0.128333
"Tim Wakefield"	0.126986
"Shigetoshi Hasegawa"	0.126882
"Rudy Seanez"	0.126707
"Steve Avery"	0.126598
"Rich Rodriguez"	0.126163
"BRIAN MEADOWS"	0.126041
"Scott Elarton"	0.124848
"Tim Crabtree"	0.124659
"Gil Heredia"	0.124334
"Pedro Borbon"	0.123951
Petkovsek	0.123574
"Matt Morris"	0.123095
"Armando Reynoso"	0.122154
"Doug Henry"	0.121083
"Brian Bohanon"	0.120991
"Greg McMichael"	0.120979
"Brian Moehler"	0.120722
"Rich Garces"	0.120283
"Mike Sirotka"	0.119301
"Jaret Wright"	0.119168
"Brett Tomko"	0.118498
"Mike Remlinger"	0.118388
Mlicki	0.118246
"Chuck McElroy"	0.118214
"Ron Villone"	0.117749
"Alan Mills"	0.117317
"Dave Burba"	0.116898
"Jeff Zimmerman"	0.116887
"Chris Carpenter"	0.116668
"Steve Parris"	0.116346
"Jon Lieber"	0.116086
"Mike Fetters"	0.11565
"Mac Suzuki"	0.115185
"Kevin Tapani"	0.114632
"Mike Magnante"	0.114551
Benitez	0.114473
"Ramiro Mendoza"	0.113974
"Jeff Nelson"	0.113954
"Mike Stanton"	0.112713
Bere	0.112025
Dempster	0.11175
"Francisco Cordero"	0.111673
"Dustin Hermanson"	0.11126
"Dave Mlicki"	0.110838
Pavano	0.110654
"Pat Mahomes"	0.110546
"Russ Ortiz"	0.110158
"Jesus Sanchez"	0.110018
"John Burkett"	0.109575
"Greg Swindell"	0.108882
D'Amico	0.108772
"Mark Guthrie"	0.10861
"Mike Morgan"	0.10829
"Carl Pavano"	0.107439
Elarton	0.106688
Percival	0.105675
"Dennis Cook"	0.105305
Hermanson	0.105159
"Mike Judd"	0.105028
"Willie Blair"	0.104757
Olivares	0.104393
Radke	0.104229
Trachsel	0.103542
Hentgen	0.102994
"Danny Patterson"	0.102649
Burba	0.102585
Lieber	0.102335
Rusch	0.101675
Herges	0.101407
"Donne Wall"	0.100987
"Pat Hentgen"	0.100248
Harnisch	0.100105
"Jim Parque"	0.10009
"Onan Masaoka"	0.100083
"Brian Rose"	0.100072
Rueter	0.0998471
Parris	0.0991271
"Jeff Weaver"	0.0987043
Mahomes	0.0982429
"Paul Byrd"	0.0981246
"Terry Mulholland"	0.0980511
"Bruce Chen"	0.0979369
"Javier Vazquez"	0.0978827
"John Wasdin"	0.0978588
Wetteland	0.097074
"Kevin Appier"	0.0970531
Isringhausen	0.0965561
"Eric Milton"	0.0964298
Borbon	0.095805
Daal	0.0956188
"Tyler Houston"	0.0954328
"Jason Schmidt"	0.0954279
"Mel Rojas"	0.0953883
"Mark Wohlers"	0.0951964
Astacio	0.0948243
"Robinson Checo"	0.0947766
"Doug Davis"	0.0945674
"Pete Schourek"	0.0942596
Hasegawa	0.0939338
Checo	0.0938817
Ankiel	0.0937124
"Bartolo Colon"	0.0936015
"Brett Hinchliffe"	0.0935863
"Pete Harnisch"	0.0931603
"Jamie Arnold"	0.0929165
"Chris Holt"	0.0926026
"Rolando Arrojo"	0.092435
"Sean Bergman"	0.0922482
"Arthur Rhodes"	0.0917662
"Ramon Ortiz"	0.0917418
"Kevin McGlinchy"	0.091538
"Sidney Ponson"	0.0915371
"Brad Radke"	0.0912547
Meche	0.0910309
Tapani	0.0905838
"Andy Benes"	0.0904894
Kile	0.0900383
"Esteban Loaiza"	0.0891037
"Pat Rapp"	0.0889408
"Frankie Rodriguez"	0.0886823
"Hideo Nomo"	0.0881644
"Kent Bottenfield"	0.0879491
"Rheal Cormier"	0.0877683
"Juan Guzman"	0.0877433
"Jeff Fassero"	0.0877025
"Hideki Irabu"	0.087247
"Darryl Kile"	0.0871164
Cloude	0.0867736
"Francisco Cordova"	0.0865883
Sasaki	0.0865317
Bohanon	0.086455
))
("Bob Woodward" (desc 1854.9) (sims
"David Halberstam"	0.110112
"Andrei Babitsky"	0.105202
"Paul Taylor"	0.0929224
"Christiane Amanpour"	0.0835187
editorialist	0.0718973
"Bill Moyers"	0.0711389
Isikoff	0.069608
Cornwell	0.0689797
Harr	0.0679635
"John Grisham"	0.0673187
"Tim Russert"	0.0663518
"Lewis Carroll"	0.0660874
"Shao Yunhuan"	0.0659716
"John Kelly"	0.0656548
"Edward R. Murrow"	0.0642061
Tintin	0.0639301
Junger	0.0632348
"Jim Gray"	0.0627616
"Edmund Morris"	0.0603008
"Cokie Roberts"	0.0599095
Halberstam	0.0598239
Hersh	0.0575861
"Peter Arnett"	0.0568011
"technological revolution"	0.0567468
Hitchens	0.0564494
"Tom Brokaw"	0.0560126
"John Reed"	0.0557254
LeBlanc	0.0552352
Rivlin	0.0539899
Cline	0.0536302
Post-Intelligencer	0.0528202
Menchu	0.0522435
"Sam Donaldson"	0.0519334
"Patsy Ramsey"	0.0516737
"Andrew Morton"	0.0515003
"Vanessa Williams"	0.0508311
"Mumia Abu-Jamal"	0.0505568
"Tom Kelly"	0.0500441
Galbraith	0.0496392
Pryor	0.0495703
"Steven Brill"	0.0493005
Brokaw	0.0489019
hodgson	0.0487864
Susann	0.0484954
Sheehy	0.0482299
Ogilvy	0.048131
"Joint Liaison Group"	0.0478536
Jimy	0.0477698
Theroux	0.0476687
Hatfield	0.047653
"Mike Wallace"	0.0463862
noone	0.0462445
"George Stephanopoulos"	0.0456947
Hine	0.0455114
Gutman	0.0454806
Fernandes	0.0454247
Northup	0.0450739
"Jack Smith"	0.0450167
Adler	0.0449699
Felton	0.044964
"William Safire"	0.0448958
Welty	0.0446818
Fuhrman	0.0445066
Tierney	0.0444857
"John Henry"	0.0444665
"Stephen King"	0.0443828
Burleigh	0.0443326
Patten	0.0440672
Lipstadt	0.0433699
"Evening Standard"	0.0432881
Schaeffer	0.043268
Rea	0.0431231
"Matt Drudge"	0.0429414
Baum	0.0429171
"John Podesta"	0.0428749
Hamill	0.0428444
McEwan	0.0425793
Jayakumar	0.0424104
Thurber	0.0423301
GAAF	0.0421068
"Patricia Cornwell"	0.0420312
DERSHOWITZ	0.0416026
Edelman	0.0413759
Hirsch	0.0412524
Soyinka	0.0410279
Huffington	0.0409713
Millie	0.0409704
"Congress (NPC) Standing Committee"	0.0409656
Weiner	0.0408351
McCourt	0.0404886
Shulman	0.0401572
))
(Bobby (desc 18828.3) (sims
Jeff	0.13866
tom	0.128944
Steve	0.123731
BOB	0.1225
mike	0.121552
Jim	0.121517
Tim	0.121051
John	0.118808
Robert	0.118644
Rick	0.117007
Fred	0.113372
Ralph	0.112575
Jimmy	0.112435
Joe	0.11128
Dan	0.111204
Larry	0.110288
Chris	0.10963
Randy	0.107591
Frank	0.106732
Phil	0.106594
Michael	0.105724
Danny	0.104344
Paul	0.103906
Roger	0.101351
Billy	0.101292
Walter	0.100844
Richard	0.100174
Carl	0.0994644
Kevin	0.0991939
David	0.0986829
Jeb	0.0982782
don	0.0977603
Jerry	0.097211
Reggie	0.0967828
Dave	0.0965755
Gary	0.0961666
Jonathan	0.0952307
Alan	0.0944981
Charlie	0.0942688
Andy	0.0940875
Johnny	0.0936292
Todd	0.0925313
Charles	0.0923406
Terry	0.0921779
Ted	0.0912804
Eric	0.0912792
Jamie	0.0912497
jack	0.0910162
Brian	0.0909669
Ben	0.0908755
Steven	0.0906133
Ken	0.0900477
Ed	0.0892858
Kenny	0.0884488
Tommy	0.0878834
Mario	0.0874227
Wayne	0.0870257
Dennis	0.0869198
Eddie	0.0865561
Josh	0.0864758
Peter	0.0863835
Bruce	0.0860718
James	0.0859541
Pete	0.0858916
Willie	0.0858783
Tony	0.0857866
Edward	0.0856042
Ron	0.0854834
Patrick	0.0853977
Barry	0.0848289
Brett	0.084244
Gerald	0.0836353
Mel	0.08318
Sean	0.0831602
Evan	0.0829165
Theo	0.0828739
Sam	0.0820808
Greg	0.0818982
Doug	0.0816866
William	0.0815436
Ronald	0.0815409
Sammy	0.0806472
Jason	0.0805496
George	0.0805459
Ramon	0.0795819
Harry	0.0794788
Adam	0.0794062
nick	0.0788269
Jackie	0.0786324
Andre	0.0781853
matt	0.0780423
dad	0.0780105
Harold	0.077952
Brad	0.0772845
Antonio	0.077245
Roy	0.0769216
Louis	0.076796
Scott	0.0764801
Joel	0.0761058
Pedro	0.0760073
Manuel	0.0747358
Ryan	0.074713
Chuck	0.074467
Marty	0.0742163
Justin	0.0741897
Jake	0.0739931
Anthony	0.0733891
Susan	0.0733604
Shawn	0.0732338
Hugh	0.0729052
"George W."	0.072812
Bowden	0.0725523
Jeremy	0.0724846
Philip	0.0720946
Jacob	0.0720175
Vladimir	0.0717772
Jon	0.0716304
jay	0.0713863
pat	0.0711611
Andrew	0.0711011
Joseph	0.0710789
Daniel	0.0710637
Juan	0.0708795
Stephen	0.0708663
Neil	0.0706692
Alex	0.0705143
Karl	0.0701272
Aaron	0.0698708
Bryan	0.0695583
Drew	0.0695206
Arthur	0.0695046
Samuel	0.0694138
Maurice	0.0692784
Matthew	0.0690577
Carlos	0.068521
dick	0.0684929
Wally	0.0684369
Arnold	0.0683492
Leo	0.068264
Albert	0.0682238
Kyle	0.0681937
Phillip	0.0681318
Dom	0.068076
Henry	0.0674013
Andrei	0.0669089
Roberto	0.066701
Joey	0.0661124
Noel	0.0660393
Keith	0.0658669
Owen	0.0654544
brother	0.0651365
Craig	0.0649967
Derek	0.0646746
Kurt	0.0646487
Barbara	0.0642558
Margaret	0.0641224
Darryl	0.0640822
"John Jr."	0.0639695
Allan	0.0637726
Gordon	0.0634067
Rudy	0.0633925
martin	0.063118
Lance	0.0630407
Allen	0.0628532
Marc	0.0627795
dale	0.0625407
Mary	0.0625146
Casey	0.062475
Courtney	0.0622567
Hal	0.0622408
Hank	0.0620427
Thomas	0.0616211
Jesse	0.0615169
Frankie	0.0614325
Christopher	0.0614093
timothy	0.0614021
Nicholas	0.0613214
Karen	0.0612362
Bernie	0.0610242
Glenn	0.0608825
Nancy	0.0608197
Trevor	0.060338
Ernie	0.060203
Robbie	0.0599144
Max	0.059781
Ian	0.0597498
"Robert F. Kennedy"	0.0597357
Jill	0.0594959
Troy	0.0592799
Shane	0.0591428
Percy	0.0591295
ray	0.0591143
Rusty	0.0588431
Rifaat	0.0586565
Brandon	0.0584796
Robin	0.0584218
Gerard	0.0582036
Julian	0.0581989
Donald	0.0581706
Byron	0.0580069
))
("Bobby Abreu" (desc 2324.29) (sims
"Mike Lieberthal"	0.368727
"Rico Brogna"	0.367427
"Eric Owens"	0.347389
"Mark Kotsay"	0.338853
"Desi Relaford"	0.333766
"Doug Glanville"	0.331406
"Scott Rolen"	0.318715
"John Vander Wal"	0.298199
"Matt Lawton"	0.294429
"Rob Ducey"	0.289858
"Mickey Morandini"	0.282201
"Ron Gant"	0.280078
"Geoff Jenkins"	0.267164
"Jeff Conine"	0.258136
"Dave Martinez"	0.2565
"Bobby Higginson"	0.256468
"Pat Burrell"	0.255351
"Marvin Benard"	0.255026
Cirillo	0.254626
Abreu	0.254073
"Matt Stairs"	0.253987
"Stan Javier"	0.249304
"Rich Becker"	0.244963
"Ellis Burks"	0.243114
"Carlos Lee"	0.242595
"Dmitri Young"	0.240164
"Bruce Aven"	0.239926
Rolen	0.237993
"Richard Hidalgo"	0.236871
"Jose Guillen"	0.235254
"Luis Polonia"	0.235196
"Lance Berkman"	0.230475
"Orlando Palmeiro"	0.22986
"Jermaine Dye"	0.229828
"Derrek Lee"	0.229285
"Bill Mueller"	0.227611
"Ruben Rivera"	0.223577
"Damian Jackson"	0.220159
"Henry Rodriguez"	0.219517
"Bubba Trammell"	0.218698
"Chris Widger"	0.216683
"Danny Bautista"	0.216674
Vidro	0.216372
"Damian Miller"	0.216028
"Dante Bichette"	0.215229
"Gregg Jefferies"	0.213595
"Benny Agbayani"	0.213389
"Scott Spiezio"	0.212705
"Rondell White"	0.2125
"Deivi Cruz"	0.212012
"Brian Giles"	0.211954
"Dave Hansen"	0.211802
"Ray Lankford"	0.211666
"Carlos Beltran"	0.210707
"Jon Nunnally"	0.210425
Lankford	0.209626
"Jeromy Burnitz"	0.209177
"Bill Spiers"	0.209132
"Magglio Ordonez"	0.207929
"Preston Wilson"	0.206113
"Karim Garcia"	0.205656
"Dean Palmer"	0.205612
"Vladimir Guerrero"	0.205181
"Mark Loretta"	0.205105
"Butch Huskey"	0.203097
"Eric Chavez"	0.202412
"Jeremy Giambi"	0.201167
"Lenny Harris"	0.20078
Higginson	0.200528
"Phil Nevin"	0.200418
"John Mabry"	0.19938
"Ben Grieve"	0.199298
"Matt Luke"	0.199087
"Brady Anderson"	0.198344
"Jason McDonald"	0.198264
Glanville	0.197418
"Jose Valentin"	0.197183
"Trot Nixon"	0.196894
"Johnny Damon"	0.196333
"Luis Gonzalez"	0.195752
"Ricky Gutierrez"	0.19433
Fullmer	0.19387
"Joe Randa"	0.193099
"Terrence Long"	0.192062
"Damon Buford"	0.191654
"Shawn Green"	0.19141
"Miguel Cairo"	0.190151
"Darren Bragg"	0.189654
"Raul Ibanez"	0.189425
"Todd Greene"	0.188457
"Quinton McCracken"	0.188011
"Luis Alicea"	0.187843
"Ron Coomer"	0.187678
"Derek Bell"	0.187451
"Pat Meares"	0.186813
"Juan Encarnacion"	0.18626
"Al Martin"	0.184684
"Roger Cedeno"	0.184299
"Michael Tucker"	0.184082
"Rich Aurilia"	0.184008
"Mike Sweeney"	0.18381
"Matt Franco"	0.183101
"J.T Snow"	0.182902
"Jeffrey Hammonds"	0.18285
grieve	0.182244
"Todd Walker"	0.181793
"Kevin Jordan"	0.181412
"Neifi Perez"	0.181263
"Tom Goodwin"	0.181229
"Cliff Floyd"	0.180982
"Todd Hollandsworth"	0.180772
"Tim Salmon"	0.180336
"Richie Sexson"	0.179893
"Eddie Taubensee"	0.179699
"Darren Lewis"	0.178936
"Brad Fullmer"	0.178754
"Jose Vidro"	0.178696
"Brian Hunter"	0.178577
Burnitz	0.177213
"Todd Helton"	0.177108
"Tony Batista"	0.176569
"Kelly Stinnett"	0.176457
"Todd Pratt"	0.176204
"Gabe Kapler"	0.175482
"Jeff Cirillo"	0.175336
"Tim Bogar"	0.174662
"Russ Johnson"	0.174531
"Tony Womack"	0.174022
"Gerald Williams"	0.174004
"Jay Buhner"	0.173702
"Warren Morris"	0.173204
"Tony Graffanino"	0.173006
"Mike Simms"	0.172849
Gant	0.172744
Aurilia	0.172527
"Jose Hernandez"	0.172233
"Jose Cruz Jr."	0.172129
"Travis Lee"	0.172121
"Larry Walker"	0.171904
"Gary Sheffield"	0.171807
"Paul Bako"	0.17167
"Reggie Sanders"	0.171355
Sexson	0.170966
"Ray Durham"	0.170758
"Kevin Young"	0.170503
"Matt Walbeck"	0.170414
"Brian Jordan"	0.170254
Renteria	0.169006
Giambi	0.168659
"Glenallen Hill"	0.168432
"Joe McEwing"	0.168213
"David Ortiz"	0.167306
"F.P Santangelo"	0.167111
"Quilvio Veras"	0.166819
"Chad Curtis"	0.166752
"Miguel Tejada"	0.166284
"Troy Glaus"	0.166255
"Garret Anderson"	0.165942
"Ricky Ledee"	0.165642
"Trenidad Hubbard"	0.16545
"Midre Cummings"	0.165447
"Darin Erstad"	0.165236
"Jason Giambi"	0.164983
"Mike Bordick"	0.164833
"Wil Cordero"	0.16473
"Jason Kendall"	0.164644
"Steve Finley"	0.164582
"Brant Brown"	0.164383
"Herbert Perry"	0.164321
Bordick	0.164223
"Peter Bergeron"	0.164157
"Andy Fox"	0.163559
"Paul Konerko"	0.163445
"Melvin Mora"	0.163331
Agbayani	0.162577
"Tony Eusebio"	0.162547
Bichette	0.162432
"Adam Kennedy"	0.162154
"Russ Davis"	0.162151
"Alex Gonzalez"	0.161335
"Jeff Kent"	0.160689
"Bobby Estalella"	0.160573
Randa	0.159944
"Marquis Grissom"	0.159243
"Raul Mondesi"	0.158549
"Carl Everett"	0.158465
"Paul Byrd"	0.158257
Karros	0.157929
"Corey Koskie"	0.157902
"Rusty Greer"	0.157665
Beltran	0.157345
Bragg	0.157213
"Mike Cameron"	0.157117
"David Dellucci"	0.157018
"Moises Alou"	0.156706
"Kevin Stocker"	0.155877
"Shannon Stewart"	0.155689
"Craig Counsell"	0.155198
"Daryle Ward"	0.155118
"Eric Karros"	0.155064
"Keith Lockhart"	0.15504
"J.D Drew"	0.154927
"Bret Boone"	0.154499
"Kenny Lofton"	0.15437
"Charlie Hayes"	0.153722
"B.J Surhoff"	0.153715
"Jay Payton"	0.153581
Alicea	0.153504
Klesko	0.152867
"Jeff Brantley"	0.152704
"Jose Vizcaino"	0.151996
"Travis Fryman"	0.151849
DeShields	0.151535
"Mike Stanley"	0.151069
Tatis	0.150856
"Manny Alexander"	0.150772
"Lance Johnson"	0.150646
"Jason Varitek"	0.150569
"Chris Gomez"	0.150194
"Craig Biggio"	0.15004
"GERONIMO BERROA"	0.149767
"Tony Phillips"	0.149352
"Roberto Kelly"	0.148654
"Bernard Gilkey"	0.148532
"Wally Joyner"	0.147459
"Andruw Jones"	0.147356
"Will Clark"	0.147192
"Jeff Bagwell"	0.147008
Glaus	0.146888
Lieberthal	0.146715
"Erubiel Durazo"	0.1466
"Mike Lamb"	0.14599
Alfonzo	0.145467
"Mark Grudzielanek"	0.145398
"Mark Grace"	0.145128
Nevin	0.145001
"Bengie Molina"	0.144948
"Brian McRae"	0.144539
"Jay Bell"	0.144325
McGriff	0.144034
"Royce Clayton"	0.144024
"Ryan Klesko"	0.143486
"Rickey Henderson"	0.14324
Hidalgo	0.143149
"Edgardo Alfonzo"	0.142767
"Ozzie Guillen"	0.142387
"Lee Stevens"	0.142199
Dunston	0.141257
"Fernando Vina"	0.14066
"Troy O'Leary"	0.14059
Olerud	0.140494
"CARLOS HERNANDEZ"	0.140462
Veras	0.140204
Lawton	0.140138
Spiers	0.140067
"Scott Brosius"	0.139913
"Manny Ramirez"	0.139812
"Adrian Beltre"	0.139745
Biggio	0.139643
"Tony Clark"	0.139265
Beltre	0.138326
"Ken Caminiti"	0.137964
"Eric Davis"	0.137643
"John Valentin"	0.137418
Javier	0.137298
"David Bell"	0.137033
"Cristian Guzman"	0.136724
"Benji Gil"	0.136451
"Darryl Hamilton"	0.136355
Bautista	0.135991
Bagwell	0.135698
"Luis Castillo"	0.135582
Ordonez	0.135493
"Brad Ausmus"	0.135095
"Greg Colbrunn"	0.135081
"Jose Offerman"	0.134098
Vizquel	0.133999
Mabry	0.133619
"Jim Thome"	0.133203
"Greg Vaughn"	0.13215
"Omar Vizquel"	0.131627
"Vinny Castilla"	0.131528
Erstad	0.131393
"Einar Diaz"	0.131373
"Shane Spencer"	0.131269
"Paul O'Neill"	0.13064
"Edgar Martinez"	0.130541
Konerko	0.130431
"Randy Velarde"	0.129937
"Fred McGriff"	0.129894
"Scott Hatteberg"	0.12964
"Dave Hollins"	0.129514
"Devon White"	0.129289
"Mark McLemore"	0.129175
"Enrique Wilson"	0.12914
Velarde	0.128881
"Otis Nixon"	0.128789
"Joe Carter"	0.128661
Alomar	0.128449
Valentin	0.128435
"Harold Baines"	0.128384
"Mike Lansing"	0.127836
Bergeron	0.127706
"David Segui"	0.126953
Castilla	0.126456
"John Olerud"	0.126353
"Sandy Alomar"	0.12621
"Jim Edmonds"	0.126086
"Damion Easley"	0.125832
"Matt Williams"	0.125451
"Mark Smith"	0.125356
Cedeno	0.125074
Womack	0.124962
"Carlos Baerga"	0.124835
"Alex Rodriguez"	0.124497
"Barry Larkin"	0.124396
Baines	0.123976
"Walt Weiss"	0.123894
"Marty Cordova"	0.123866
"Barry Bonds"	0.123639
"Luis Lopez"	0.123396
"Sean Berry"	0.12337
"Brian Daubach"	0.122977
Burks	0.122903
Brosius	0.122714
Batista	0.12264
"Wilton Guerrero"	0.122223
"Sean Casey"	0.121989
"Robin Ventura"	0.121924
"Fernando Tatis"	0.121814
"Jorge Fabregas"	0.121252
Grudzielanek	0.12101
"Andy Sheets"	0.120555
"Javy Lopez"	0.120334
"Todd Zeile"	0.120118
"Mike Lowell"	0.120102
Canseco	0.119907
"Tim Raines"	0.11986
Frye	0.11946
"Pokey Reese"	0.119437
"John Jaha"	0.119166
"Tony Gwynn"	0.11914
"Edgar Renteria"	0.119122
Tejada	0.119115
Hollandsworth	0.118604
Daubach	0.118317
"Matt Mieske"	0.117992
Cordero	0.117991
"Carlos Delgado"	0.117943
Segui	0.11783
"Brook Fordyce"	0.11782
Ledee	0.117818
"Kirk Gibson"	0.117765
"Bobby Bonilla"	0.117721
Thome	0.11748
Palmeiro	0.117259
"Ed Sprague"	0.117072
Fryman	0.11694
"Brent Mayne"	0.116506
McLemore	0.116422
"Clay Bellinger"	0.116193
"Jorge Posada"	0.116141
"Eric Young"	0.11535
"Bernie Williams"	0.115292
Stinnett	0.115269
"Rey Sanchez"	0.113651
"Aaron Boone"	0.113611
"Tino Martinez"	0.113557
Zeile	0.113073
"Jeff Huson"	0.112619
"Rafael Palmeiro"	0.112609
"Kevin Orie"	0.111977
Elster	0.111942
Larkin	0.111668
Helton	0.111581
"Ruben Mateo"	0.111275
"Frank Thomas"	0.111212
"Reggie Jefferson"	0.111104
Goodwin	0.110658
Surhoff	0.110568
"Jose Canseco"	0.110535
"Chad Kreuter"	0.110204
Meares	0.110128
"Tom Lampkin"	0.110017
"Chipper Jones"	0.109839
"Cecil Fielder"	0.108638
Kapler	0.108356
"Roberto Alomar"	0.107932
"Craig Paquette"	0.107633
"Mitch Meluskey"	0.106968
Taubensee	0.106608
Varitek	0.106528
"Gary Gaetti"	0.106421
Caminiti	0.106417
Guillen	0.106205
Buhner	0.106146
Knoblauch	0.106065
Offerman	0.105832
"Chili Davis"	0.10577
"Juan Gonzalez"	0.105751
Lofton	0.105597
Lugo	0.105445
"Eddie Perez"	0.105269
"Albert Belle"	0.105156
"Charles Johnson"	0.105083
"Shawon Dunston"	0.104922
"Ivan Rodriguez"	0.104697
"Rey Ordonez"	0.104571
Delgado	0.104401
Hollins	0.104298
Baerga	0.104068
Huskey	0.10395
"Chuck Knoblauch"	0.103724
"Brian Johnson"	0.103685
Catalanotto	0.10266
Ausmus	0.102436
"Willie Greene"	0.102388
Trammell	0.102305
Saenz	0.102295
"Delino DeShields"	0.102091
Hatteberg	0.101911
"Jim Leyritz"	0.1014
Cabrera	0.101384
"Mike Benjamin"	0.100936
"Kevin Elster"	0.100752
Alou	0.10069
))
("Bobby Bonilla" (desc 8997.06) (sims
"Raul Mondesi"	0.242497
"Roger Cedeno"	0.242232
"Devon White"	0.223395
"Eric Karros"	0.221215
"Todd Hundley"	0.220729
"Gary Sheffield"	0.219047
"Edgardo Alfonzo"	0.211756
Bonilla	0.205583
"Trenidad Hubbard"	0.204832
"Adrian Beltre"	0.202296
"Dave Hansen"	0.197931
"Todd Hollandsworth"	0.197452
"Rickey Henderson"	0.197247
"Robin Ventura"	0.193054
"Mark Grudzielanek"	0.191789
"Benny Agbayani"	0.189665
"Lenny Harris"	0.182187
"Shawn Green"	0.179194
"Bruce Aven"	0.178137
"Ron Gant"	0.17419
"Jose Vizcaino"	0.173596
"Butch Huskey"	0.172404
"Matt Franco"	0.17031
"Eric Young"	0.168752
"Reggie Sanders"	0.167462
"John Olerud"	0.167222
"Darryl Hamilton"	0.165807
"Tony Batista"	0.164149
"John Vander Wal"	0.163727
"Danny Bautista"	0.159532
"Ken Caminiti"	0.156796
"Kevin Elster"	0.156436
"Bill Spiers"	0.156325
"Jeff Conine"	0.156191
"F.P Santangelo"	0.152243
"Moises Alou"	0.151021
"Rich Becker"	0.15052
"Mike Piazza"	0.149598
"Matt Luke"	0.149593
"Charles Johnson"	0.147975
"Matt Lawton"	0.147195
"GERONIMO BERROA"	0.146747
"Melvin Mora"	0.146631
"Derek Bell"	0.146078
"Albert Belle"	0.145862
"Jose Hernandez"	0.145387
"Eric Owens"	0.145053
"Todd Pratt"	0.144224
"Bernard Gilkey"	0.143157
"Todd Zeile"	0.142926
"Mike Bordick"	0.142167
"Craig Counsell"	0.141534
"Dante Bichette"	0.141109
Karros	0.140545
"Paul Konerko"	0.139609
Grudzielanek	0.138637
"Joe Randa"	0.138222
"Russ Johnson"	0.138045
"Rey Ordonez"	0.138
"Brady Anderson"	0.137528
"Troy Glaus"	0.137241
"Russ Davis"	0.137179
"Will Clark"	0.13691
"Herbert Perry"	0.136382
"Tony Gwynn"	0.134984
"Luis Lopez"	0.13471
"Rob Ducey"	0.134417
"Kurt Abbott"	0.133992
"Kevin Jordan"	0.133919
Alfonzo	0.133668
"B.J Surhoff"	0.133534
"Jay Payton"	0.133095
"Brian McRae"	0.132983
"Bobby Higginson"	0.132691
"Harold Baines"	0.131315
"Brian Jordan"	0.131202
"Scott Rolen"	0.131196
"John Valentin"	0.131191
"Mark Kotsay"	0.130964
"Ryan Klesko"	0.130344
"Delino DeShields"	0.130306
"Johnny Damon"	0.130183
"Tom Goodwin"	0.12934
"Scott Spiezio"	0.128414
"Jay Buhner"	0.128004
"Rondell White"	0.127885
"Scott Brosius"	0.126885
"Mike Lowell"	0.126541
"Ron Coomer"	0.126363
"David Segui"	0.12602
"Karim Garcia"	0.125644
"Cliff Floyd"	0.125299
"Carlos Baerga"	0.124967
"Eric Davis"	0.124959
"Quilvio Veras"	0.124077
"Warren Morris"	0.123478
"Dave Martinez"	0.123404
"Fred McGriff"	0.123348
"Jose Canseco"	0.123314
"Shawon Dunston"	0.123254
Mondesi	0.122809
"Ray Lankford"	0.122738
"John Franco"	0.122568
"Mike Lansing"	0.122316
"Chad Curtis"	0.12227
"Greg Vaughn"	0.122236
"Gerald Williams"	0.121845
"Carl Everett"	0.121455
"Ricky Ledee"	0.120708
"Jose Guillen"	0.120615
"Matt Williams"	0.12051
Hundley	0.120485
"Ismael Valdes"	0.119732
"Eric Chavez"	0.119711
"Jeff Cirillo"	0.11965
"Dmitri Young"	0.119503
"Vladimir Guerrero"	0.119446
"Darren Bragg"	0.119403
"Matt Mieske"	0.119188
"Ricky Gutierrez"	0.11914
"Tony Phillips"	0.118938
"Fernando Tatis"	0.118849
"Glenallen Hill"	0.118673
"Jeff Bagwell"	0.11843
"Damon Buford"	0.118257
"Travis Fryman"	0.118203
"Bill Mueller"	0.11815
"Daryle Ward"	0.11814
"John Mabry"	0.117937
"Chipper Jones"	0.117813
"Bobby Abreu"	0.117721
"Jeffrey Hammonds"	0.117569
"Luis Alicea"	0.117277
"Marvin Benard"	0.116504
"David Bell"	0.116482
"Bubba Trammell"	0.11636
Valentin	0.11582
"Geoff Jenkins"	0.115721
"Brian Giles"	0.115712
"Orlando Palmeiro"	0.114711
"Jim Leyritz"	0.114601
"Tim Salmon"	0.114216
"Gabe Kapler"	0.11406
"Craig Biggio"	0.114043
Vizcaino	0.113896
"Darin Erstad"	0.113734
"Quinton McCracken"	0.113383
"Stan Javier"	0.112775
"Richard Hidalgo"	0.112577
"Lance Berkman"	0.112385
"J.D Drew"	0.112303
"Chuck Knoblauch"	0.112134
"Al Martin"	0.112061
"Ozzie Guillen"	0.11206
"David Dellucci"	0.111577
Zeile	0.111501
"Willie Greene"	0.111425
"Dean Palmer"	0.111287
"Jose Cruz Jr."	0.111027
"Henry Rodriguez"	0.111003
"Luis Gonzalez"	0.1101
"Trot Nixon"	0.109883
"Jon Nunnally"	0.109823
"Phil Nevin"	0.109799
Beltre	0.109741
"Jeff Kent"	0.10967
"Brian Hunter"	0.109629
"Rafael Palmeiro"	0.109397
"Ellis Burks"	0.10938
"Carlos Lee"	0.109246
"Wil Cordero"	0.108892
"Larry Walker"	0.108521
"Mickey Morandini"	0.108495
"Tim Bogar"	0.108355
"Rusty Greer"	0.107861
"Carlos Perez"	0.107591
Olerud	0.107458
"Cal Ripken"	0.10737
"Wilton Guerrero"	0.107153
"Barry Bonds"	0.10692
"Randy Velarde"	0.106907
"Jeromy Burnitz"	0.106858
"Dennis Cook"	0.10612
"Tim Raines"	0.105865
"Marquis Grissom"	0.105517
"Mike Lamb"	0.105298
Ordonez	0.105073
"Charlie Hayes"	0.104956
Lankford	0.104956
"Jay Bell"	0.104911
"Preston Wilson"	0.104874
"Andruw Jones"	0.104539
"Joe McEwing"	0.104414
"Pat Burrell"	0.104333
"Steve Finley"	0.10407
"Bernie Williams"	0.104028
"Alex Cora"	0.103578
"Michael Tucker"	0.103476
"Edgar Renteria"	0.102998
"Paul Bako"	0.102795
"Juan Gonzalez"	0.102639
"Kevin Stocker"	0.102436
"Manny Alexander"	0.102417
"Brian Daubach"	0.102381
"Dan Wilson"	0.102315
Lawton	0.10225
"Otis Nixon"	0.102244
"Javy Lopez"	0.102209
"David Ortiz"	0.102047
"Barry Larkin"	0.101876
"Walt Weiss"	0.101777
"Jermaine Dye"	0.101713
"Adam Kennedy"	0.101615
"Carlos Delgado"	0.100933
Piazza	0.100692
Higginson	0.100523
"Carlos Beltran"	0.100257
))
("Bobby Bowden" (desc 3481.04) (sims
"Lou Holtz"	0.169398
"Steve Spurrier"	0.143129
"Rudy Tomjanovich"	0.136312
"Dennis Erickson"	0.12555
"John Robinson"	0.123144
"Ken Hitchcock"	0.12311
"Pat Burns"	0.120501
"P.J Carlesimo"	0.119703
"Jerry Sloan"	0.114038
"Mike Krzyzewski"	0.112891
"Dennis Green"	0.112084
"Bear Bryant"	0.109716
Bowden	0.109503
"Joe Paterno"	0.109414
"Don Zimmer"	0.109107
"TOM COUGHLIN"	0.107304
"Rick Pitino"	0.107222
"Mack Brown"	0.105642
"Bora Milutinovic"	0.104524
"Dick Vermeil"	0.10343
"Paul Westphal"	0.102756
"Chan Gailey"	0.101387
"Mike Dunleavy"	0.100705
"Steve Mariucci"	0.0996353
"Scotty Bowman"	0.0979354
"Norv Turner"	0.0977963
"Rick Neuheisel"	0.0970202
"Lenny Wilkens"	0.0960777
"Tom Osborne"	0.0937555
"Pete Carroll"	0.0930288
"Jeff Van Gundy"	0.0920955
"Walter Zenga"	0.0904469
"Phil Jackson"	0.088473
"Chris Palmer"	0.0882589
"Vince Lombardi"	0.0876072
"Jim Harrick"	0.0868752
"Mike Holmgren"	0.0856896
"Mel Stottlemyre"	0.0846059
"Bob Knight"	0.0845631
"Mike Shanahan"	0.0845545
"Mike Ditka"	0.0838719
"Dan Reeves"	0.0838585
"Del Harris"	0.0836083
"Jimmy Johnson"	0.0831715
"George Karl"	0.082142
"Ray Rhodes"	0.0809856
Donnan	0.0806557
"John Thompson"	0.0804183
"Tim Floyd"	0.0800967
"John Smith"	0.0787292
"Bill Parcells"	0.0778719
"George Seifert"	0.0772356
"Pat Riley"	0.076433
"Kurt Rambis"	0.0748185
Harrick	0.0736471
"Don Shula"	0.072521
"Larry Brown"	0.071721
"Tom Landry"	0.0711278
"John Wooden"	0.070134
Krzyzewski	0.0700939
"Tex Winter"	0.0689832
"Peter Warrick"	0.0689619
"Barry Switzer"	0.0686275
"Brian Billick"	0.0685423
"Bill Belichick"	0.0681039
"Joe Gibbs"	0.0675615
"Chris Weinke"	0.0674638
Cremins	0.067384
Talebi	0.0657956
"Dave Campo"	0.0652168
Osborne	0.0651628
"Dave Wannstedt"	0.0643615
"Willie Randolph"	0.0636322
"Butch Carter"	0.0636113
Groh	0.0633969
Solich	0.0622544
Paterno	0.061141
Ponciano	0.0610947
Kearin	0.0608235
Holmgren	0.0605305
"Sarah Hughes"	0.060371
Slocum	0.0597501
"Larry Bird"	0.0581364
"Chuck Daly"	0.0581166
"Dean Smith"	0.0577848
Vermeil	0.0573784
Martz	0.0570228
"Tom Davis"	0.0560204
Schottenheimer	0.0558209
"Tony Dungy"	0.0555134
Bobby	0.0550195
Spurrier	0.0547388
Fassel	0.0543685
Calhoun	0.053876
"Glenn Hoddle"	0.053871
Belichick	0.0535229
Haskins	0.0531573
Hackett	0.0530679
Butyrskaya	0.0526225
Ainge	0.052582
"Bill Cowher"	0.0525673
"Paul Silas"	0.0523164
Gailey	0.0521229
"June Jones"	0.0517637
Wilkens	0.0515712
Parcells	0.0515337
"Tommy Bowden"	0.0510695
Tommy	0.0508354
DONOVAN	0.0507073
Pitino	0.0505669
Tomjanovich	0.0502983
"Don Nelson"	0.0502113
Lavin	0.0494261
Popovich	0.0490699
Noor	0.0488293
"Bill Walsh"	0.0488205
Mario	0.0486459
"Dave Stewart"	0.0486402
O'Brien	0.0484285
Camacho	0.0482672
Barnett	0.048241
"Jim Calhoun"	0.048055
Shanahan	0.0471799
"Rich Brooks"	0.0469278
Landry	0.0468974
"Clyde Drexler"	0.0468815
"Dom Capers"	0.0467157
Carroll	0.0466836
Neuheisel	0.0466246
"Johan Cruyff"	0.0464361
Reeves	0.0463565
Sampson	0.0462909
"Roy Williams"	0.0462683
Brogna	0.0461996
Tomey	0.0460314
Leach	0.0459824
"Bobby Knight"	0.0458545
"Al Groh"	0.0457396
Farah	0.0456792
Karolyi	0.0453757
Silas	0.0451975
Kesri	0.0450569
"Doc Rivers"	0.0450305
DeBerg	0.0448966
Dan	0.0447906
Rick	0.0445011
Amato	0.0443325
Keady	0.0441813
"John Calipari"	0.0440849
Valenti	0.0439754
Guthridge	0.043964
beamer	0.0438797
"Tara Lipinski"	0.0438512
"traveling salesman"	0.0434211
"Don Baylor"	0.0432494
Seminoles	0.0426839
Ruehe	0.0426777
DiCicco	0.0425121
Zagallo	0.0424722
Oliveira	0.0424176
Fulmer	0.0421415
Lambright	0.0421272
Flanagan	0.0420987
Verniero	0.0418567
Lucic	0.0418336
Atler	0.0415754
"Juan Miguel"	0.0414468
Hallinan	0.0414312
Kwan	0.0414058
Greenwald	0.041375
Larry	0.0411947
Venables	0.0410689
"Richard Williams"	0.041
"Kansas State"	0.0406609
Gullit	0.0406136
Pete	0.0403959
Bartholomew	0.0403152
Abdel-Meguid	0.0403101
Snyder	0.0402768
Scioscia	0.0400257
Shao	0.0400116
))
("Bobby Brown" (desc 1124.23) (sims
"Mariah Carey"	0.125012
"Ahmed Tibi"	0.12408
"David Byrne"	0.123023
"Dez White"	0.12012
"Shelly Finkel"	0.119398
"Rahm Emanuel"	0.118111
"David Bar-Illan"	0.116146
"Mary J. Blige"	0.112264
"Mike Murphy"	0.108225
"Mark McKinnon"	0.106972
"Lenny Kravitz"	0.106267
"Wayne Chrebet"	0.105745
"Bob Shrum"	0.105314
"John Weaver"	0.104193
"Freddie Mitchell"	0.102553
"Antonio Freeman"	0.100636
"Jimmy Smith"	0.100462
"Gene Sperling"	0.0997241
"Brian Poli-Dixon"	0.0982106
"Asif Ali Zardari"	0.0961163
"Michael Westbrook"	0.0959867
"Derrick Mayes"	0.0953101
"Condoleezza Rice"	0.0949394
"Dore Gold"	0.0932895
"Tim Brown"	0.0922635
"Erykah Badu"	0.0918719
"Toni Braxton"	0.0917546
"Tony Martin"	0.0915564
"Andre Reed"	0.0905035
Babyface	0.090087
"Chris Calloway"	0.0900525
"Bruce Teitelbaum"	0.0896743
"Sarah McLachlan"	0.0896302
"Yancey Thigpen"	0.0894739
"Paul Begala"	0.0893409
"Danny Yatom"	0.089235
"Tim Dwight"	0.0891357
"J.J Stokes"	0.0883439
"Karl Rove"	0.087541
"HERMAN MOORE"	0.0874216
"Samuel Berger"	0.0867213
"Marvin Harrison"	0.0867059
"Torry Holt"	0.0866543
"David Boston"	0.0860487
el-Baz	0.0853257
"Eric Moulds"	0.0847497
"Natalie Cole"	0.0839219
"Al Joyner"	0.083801
DeFrantz	0.0837557
"Janet Jackson"	0.0824068
"Daim Zainuddin"	0.0816892
al-Baz	0.081557
"R. Kelly"	0.0814163
"Rob Thomas"	0.0812995
"Rocket Ismail"	0.0811082
"Terrell Owens"	0.0810795
"Jake Reed"	0.0807375
"Cris Carter"	0.0803989
"Isaac Bruce"	0.0798759
"Patti Smith"	0.0796389
"R. Jay Soward"	0.0793834
"John Koskinen"	0.0791442
"Wane McGarity"	0.0791385
"Dick Morris"	0.0790204
"Kevin Johnson"	0.0785734
"Robert Aventajado"	0.0783199
"C.J Hunter"	0.0782765
"George Stephanopoulos"	0.0778856
"James Taylor"	0.0760756
"Robert Brooks"	0.0757837
"Johnny Cash"	0.0740912
Baz	0.0738054
"Tim McGraw"	0.0735832
"Macy Gray"	0.0729852
"Harold Ickes"	0.0729374
"Kevin Dyson"	0.072876
"Windrell Hayes"	0.0726843
"Amani Toomer"	0.0726192
"Prince Albert"	0.072419
"Mick Jagger"	0.0722966
"Linda Ronstadt"	0.0718155
"Billy Davis"	0.0717409
"Joey Galloway"	0.0717384
"Rae Carruth"	0.0716966
"Ike Hilliard"	0.0716444
"Peter Warrick"	0.0714681
"Sheryl Crow"	0.0704958
"Michael Bolton"	0.0702511
"Ernie Mills"	0.0686968
"Rob Moore"	0.0679802
"Peerless Price"	0.0679448
"Ramsey Clark"	0.0674719
"Chris Taylor"	0.06711
"Keyshawn Johnson"	0.0670771
"Vincent Brisby"	0.0667438
"Ralph Reed"	0.0663454
"Elton John"	0.0661637
D'Angelo	0.065967
"Frank Sanders"	0.0659413
Nat	0.0658083
"Kirk Franklin"	0.0652623
"Rod Smith"	0.0652395
"James Carville"	0.0651022
"Andre Rison"	0.0648512
"Carlos Santana"	0.0646169
"Barry R. McCaffrey"	0.0644583
Bjork	0.0639363
Muoi	0.0631453
"Lauryn Hill"	0.0626724
"Jimmy Buffett"	0.0626618
Caddell	0.0625198
"Yitzhak Molcho"	0.0624899
"Oronde Gadsden"	0.0620909
"Randy Moss"	0.061829
"Janis Joplin"	0.0616248
"Karen Hughes"	0.0610611
"Lou Reed"	0.0605783
"Marcell Allmond"	0.0603686
"Wang Daohan"	0.0601268
"Vladimiro Montesinos"	0.0597545
"Chrissie Hynde"	0.0595985
"George Michael"	0.0595943
"Melissa Etheridge"	0.0595522
"Carly Simon"	0.0595353
"Barry McCaffrey"	0.0592954
"Michael Irvin"	0.059128
Ferris	0.0590341
"James McKnight"	0.0589904
"Lu Yufu"	0.0586864
"Dinko Sakic"	0.0584659
Barbour	0.057746
"Clint Black"	0.0576472
"Jaswant Singh"	0.05736
"Rajiv Gandhi"	0.0571773
"Jerry Rice"	0.0571668
"Mary Matalin"	0.0570939
"Kareem Kelly"	0.0569746
"Derrick Alexander"	0.0568698
"meat loaf"	0.0568612
Rocha	0.0566923
Broek	0.0566149
"Jimmy Oliver"	0.0564947
Phillip	0.0564389
"Jo Dee Messina"	0.0563467
Shareh	0.0563213
"Shawn Jefferson"	0.0563129
"Tom Waits"	0.0561221
"Carter Eskew"	0.0558987
"account statement"	0.0558268
"Aretha Franklin"	0.055754
"Eric Clapton"	0.0556505
Andrei	0.0556309
"Kurt Cobain"	0.0553029
Hakim	0.055269
"Courtney Love"	0.0551343
"John Taylor"	0.0547156
"Elvis Costello"	0.0545464
"Bernard Shaw"	0.0543175
"Jeff Ogden"	0.0542946
Liam	0.0542432
"Jack Quinn"	0.0541321
Wynonna	0.0541271
"Sidney Blumenthal"	0.0539739
"Kevin Williams"	0.0539607
"Anthony Lake"	0.0539326
Dominic	0.0538639
"Gennifer Flowers"	0.0534845
"Foxy Brown"	0.0534203
Rahman	0.0533484
"Wang Yan"	0.053263
"Frank Gifford"	0.0529749
"Willie Nelson"	0.0526164
"Troy Brown"	0.0525143
"Bernadette Peters"	0.052417
"Danny Farmer"	0.0523083
"Fehmi Agani"	0.0522602
"Marc Racicot"	0.0521077
"Vanessa Williams"	0.0512235
Billie	0.0511256
Kamensky	0.0508431
"Terry Glenn"	0.0507861
"Salim Saleh"	0.0504186
Boyd	0.050311
McCormack	0.0501633
"Dwight Yoakam"	0.0500124
"Indigo Girls"	0.0499594
Coolio	0.0497999
"Van Roost"	0.0497174
"Tammy Wynette"	0.0497165
"Frank Luntz"	0.0495726
Ralph	0.0495006
"Jon Bon Jovi"	0.0493845
"Julie Andrews"	0.049331
"Tony Simmons"	0.0492871
"Bora Milutinovic"	0.0492594
"Secretary of Commerce"	0.0492163
"Joni Mitchell"	0.0491898
"Reba McEntire"	0.0486997
"Christian Fittipaldi"	0.0486566
"Lucinda Williams"	0.0486132
))
("Bobby Charlton" (desc 1858.09) (sims
"Franz Beckenbauer"	0.353467
"Johan Cruyff"	0.254647
"Michel Platini"	0.240029
"Diego Maradona"	0.22059
"Eric Cantona"	0.208175
Zico	0.177078
Pele	0.173007
"Paul Gascoigne"	0.14274
"Alex Ferguson"	0.139509
"David Beckham"	0.129258
"Robbie Fowler"	0.127572
"Doak Walker"	0.122244
"Ian Wright"	0.108788
"Stan Collymore"	0.104897
"Michael Owen"	0.103
"Alberto Tomba"	0.102406
Romario	0.101922
"Hristo Stoichkov"	0.0998664
"Gheorghe Hagi"	0.0988573
"Walter Payton"	0.0970059
"John Anderson"	0.0944459
"Bruce Lee"	0.0935816
"Hidetoshi Nakata"	0.0919511
"Mario Andretti"	0.0917816
"George Weah"	0.0891
"Ronnie Flanagan"	0.0856107
"Julius Erving"	0.0837077
Maradona	0.0819485
"Joe Montana"	0.081886
"John Gielgud"	0.0814163
"Mario Lemieux"	0.0810047
"Peter Schmeichel"	0.0799692
"Dino Baggio"	0.0795761
"Jim Brown"	0.0784889
"Harry Kewell"	0.0780061
"John Browne"	0.076645
"Richard Petty"	0.0757094
"Brandi Chastain"	0.0746383
"Earl Campbell"	0.074615
Taufik	0.0740554
"Alan Shearer"	0.0735334
"Bjorn Borg"	0.0733042
"Bobby Orr"	0.0720622
"Roberto Baggio"	0.071199
Waldner	0.0708354
"Joseph Estrada"	0.0706694
"Jeremy Greenstock"	0.0704521
"Gordie Howe"	0.070346
"Edmund Hillary"	0.0702674
"Reggie White"	0.069597
"Rod Laver"	0.0691941
"Linford Christie"	0.0691442
"Billie Jean King"	0.0683938
"Zinedine Zidane"	0.0682667
"Predrag Mijatovic"	0.0681121
"Davor Suker"	0.0671614
"Lothar Matthaeus"	0.06698
"Ketumile Masire"	0.0662444
"Joko Suprianto"	0.0662103
"Christian Vieri"	0.0661169
"Dennis Johnson"	0.0660889
"Magic Johnson"	0.0660463
"Ian McKellen"	0.0660195
"Leon Brittan"	0.0658372
"Secretary General Esmat Abdul-Meguid"	0.0658302
"Richard Virenque"	0.0657641
Eusebio	0.0656992
"Peter Lynch"	0.0653008
"Mary Pickford"	0.0648829
"Alexi Lalas"	0.0644823
"Lawrence Taylor"	0.0644475
"Gary Neville"	0.0643347
"Clyde Drexler"	0.0640856
"Simon Bolivar"	0.0635577
"Ruud Gullit"	0.063535
"Bill Walton"	0.0634261
"Ryan Giggs"	0.0633978
"Mike Atherton"	0.0633926
"Mark Tuinei"	0.0629615
"Fan Zhiyi"	0.0629264
"Sachin Tendulkar"	0.062554
"Del Toro"	0.061474
"Koji Ito"	0.0614584
"Heike Drechsler"	0.0614429
"John Havlicek"	0.0614271
"Nwankwo Kanu"	0.0612221
"Jackie Chan"	0.0608752
"Mary Slaney"	0.0607448
"Hu Weidong"	0.0606058
"Steve McManaman"	0.0604846
"Roger Staubach"	0.0599184
"Muhammad Ali"	0.0598255
"Mia Hamm"	0.0594455
"David Seaman"	0.0589171
"Patrick Kluivert"	0.0588065
titlists	0.0584354
"Ken Hitchcock"	0.0584034
"Andy Cole"	0.0582963
"Katja Seizinger"	0.0580989
"Zoran Primorac"	0.0580779
"Ma Lin"	0.0579864
"Candra Wijaya"	0.0577177
"Henry Aaron"	0.0577026
"Dong Jiong"	0.0576009
"Dwight Yorke"	0.0574865
"Lilian Thuram"	0.0574133
"Emmanuel Petit"	0.0572356
"Miguel Indurain"	0.0569548
"Rosa Parks"	0.0567378
"A.J Foyt"	0.0563775
"Nottingham Forest"	0.0560254
"Helen Alfredsson"	0.0559572
"Dominique Wilkins"	0.0557508
"Krishna Prasad Bhattarai"	0.0557023
"Paul Ince"	0.0554886
Scholes	0.05522
"Faustino Asprilla"	0.0551353
"Teddy Sheringham"	0.0551222
Alec	0.055083
"Luis Figo"	0.0550146
"Isiah Thomas"	0.0548018
"John Wooden"	0.0546462
"Sergei Bubka"	0.0545924
"Dejan Stankovic"	0.0542787
"Whitey Ford"	0.0541573
"Gabriel Batistuta"	0.053655
"Susi Susanti"	0.0534176
"Lee Hsien Loong"	0.0532726
"Wilt Chamberlain"	0.0528969
"Kristine Lilly"	0.0528697
"Bob Feller"	0.0528226
"Carl Lewis"	0.0528078
"Darren Gough"	0.0527944
"Derrick Thomas"	0.0526137
cricketer	0.0526051
"Picabo Street"	0.0523404
"Eddie Cheever"	0.0523183
"Elton John"	0.0522942
"Taufik Hidayat"	0.0521104
"Alexander Popov"	0.0520223
"Chow Yun-Fat"	0.0519504
"Keri Russell"	0.0514907
"Martina Navratilova"	0.0513916
"Ivan Pedroso"	0.0513559
"O.J Simpson"	0.0513351
"Hao Haidong"	0.0513105
"Ted Williams"	0.0511718
"Robert Pires"	0.0511449
"Stefan Edberg"	0.0509558
"Paul McCartney"	0.0509128
"Ariel Ortega"	0.0509081
"Vo Van Kiet"	0.0508006
"Jean-Philippe Gatien"	0.0506732
"Jackie Robinson"	0.0506483
"Marco Pantani"	0.0506037
"Noboru Takeshita"	0.0505228
"Fayez Tarawneh"	0.0503562
"Fabien Barthez"	0.0503545
"Johan Museeuw"	0.0502649
"Boris Becker"	0.0500017
Ricci	0.0499476
"Anthony Hopkins"	0.0498485
Yorke	0.0498346
Bebeto	0.0496521
Juninho	0.0495503
"George Brett"	0.049433
"Felix Savon"	0.0493451
"Bill Russell"	0.0493306
"Boutros Boutros Ghali"	0.0492614
"Khodadad Azizi"	0.0489297
"Norm MacDonald"	0.0487706
"Karch Kiraly"	0.0486711
"Ali Daei"	0.0486663
"Steve Largent"	0.0486094
"Wang Junxia"	0.0485759
"Steve Garvey"	0.0485665
"Boomer Esiason"	0.0485244
Fulham	0.048411
Djorkaeff	0.0482642
"Laurence Olivier"	0.0481372
Lipponen	0.0480781
Bhattarai	0.0480024
Colin	0.0479763
"Chris Porter"	0.047654
"Heryanto Arbi"	0.0476134
"Liu Guoliang"	0.0475223
"Carlos Santana"	0.0475083
"Byron Nelson"	0.0474697
"Laurent Fabius"	0.0473944
"Dennis Conner"	0.0468647
"Michael Heseltine"	0.0467503
"Willis Reed"	0.0466446
"Roy Keane"	0.0465736
"Mark Bosnich"	0.0462989
"Yolanda Griffith"	0.0461105
"Youri Djorkaeff"	0.0460707
"Terry Bradshaw"	0.0459734
Tella	0.0458744
"Craig Ludwig"	0.0458384
hooliganism	0.0458049
))
("Bobby Cox" (desc 3461.31) (sims
"Jim Leyland"	0.226004
"Buck Showalter"	0.209656
"Lou Piniella"	0.195066
"Felipe Alou"	0.181464
"Don Baylor"	0.1644
"Davey Johnson"	0.157999
"Jimy Williams"	0.157896
"Bruce Teitelbaum"	0.155048
"Don Zimmer"	0.151684
"Terry Collins"	0.151267
"Dusty Baker"	0.143104
"Johnny Oates"	0.142887
"Tony La Russa"	0.132217
"Bobby Valentine"	0.130122
"Shelly Finkel"	0.128928
"Joe Torre"	0.117523
"Tommy Lasorda"	0.116569
"Mike Hargrove"	0.114236
"Mike Scioscia"	0.110637
"Tim Johnson"	0.102676
"Tom Kelly"	0.0943381
"Larry Dierker"	0.0932966
"Billy Martin"	0.091405
Leyland	0.089898
Cashman	0.0808083
"Davey Lopes"	0.0802729
Piniella	0.0793388
McKeon	0.0791808
Robson	0.0788382
Torre	0.0787817
"Don Nelson"	0.0781257
"Karl Rove"	0.0761169
"La Russa"	0.0755081
"Tom Glavine"	0.0747532
"Asa Hutchinson"	0.0739533
Dierker	0.0721967
"Glenn Hoffman"	0.0710167
valentine	0.0708967
"Tom Lasorda"	0.0707516
Lasorda	0.0699223
Gutman	0.0687607
Jimy	0.0658218
Scioscia	0.0657599
Fulmer	0.0649272
Lavin	0.0647111
Hargrove	0.0646676
"Glenn Hoddle"	0.0645488
Sather	0.0644926
Fassel	0.0638153
Billick	0.0637316
Gangelhoff	0.0635178
"Tony Coelho"	0.0630172
"Greg Maddux"	0.0629883
Ainge	0.0625128
Spurrier	0.061462
TALBOT	0.061157
Hunsicker	0.0609282
Zimmer	0.0608173
Solich	0.0603305
"Kevin Millwood"	0.0600912
Bochy	0.0593754
Heinrichs	0.059247
"David Smith"	0.0592002
"Harry Sinden"	0.0591847
"Mike Murphy"	0.0588208
"Kevin Keegan"	0.0576797
Gullikson	0.0573815
Showalter	0.0567003
"Chipper Jones"	0.0566591
"Ken Hitchcock"	0.0565013
Melvin	0.0555836
Bowden	0.0555573
"John Smith"	0.0554529
Sahadi	0.0547872
"Dikembe Mutombo"	0.0545905
Passarella	0.0545224
Westphal	0.0544514
Aliotti	0.0543479
Zambrano	0.0542421
Tomey	0.0535433
Jaffe	0.0534199
"Alex Ferguson"	0.0533448
Donnan	0.0532678
Macdonald	0.0530997
Schottenheimer	0.0527317
Farrell	0.0527071
Polian	0.0526715
Shamshad	0.052463
Bettman	0.0522803
"Ed Bryant"	0.0520601
Oates	0.0518591
"Karen Hughes"	0.051724
Kerrigan	0.0516901
DiCicco	0.0515863
Stricker	0.0510247
"Kevin Malone"	0.0508373
"Ruud Gullit"	0.0506114
"Lee Atwater"	0.0503669
"John Weaver"	0.0500945
Rollins	0.0499434
Soriano	0.0498371
Talebi	0.0494999
"Lenny Wilkens"	0.0490453
Tanui	0.0488337
"Mark Wohlers"	0.0486532
Lamont	0.048543
"Bill Russell"	0.0485337
"Pete Carroll"	0.04845
rudd	0.0483587
"Dave Campo"	0.0483548
Whipple	0.048306
"Andres Galarraga"	0.0482265
Venables	0.0481018
Appleby	0.0480092
Parcells	0.047917
Artest	0.0478118
Ligtenberg	0.0475859
Ferguson	0.047469
"pitching coach"	0.0470941
Alou	0.0470195
Solis	0.0468965
Teresi	0.0468929
Auriemma	0.0468481
Durant	0.0467341
Stottlemyre	0.0466941
Gauthier	0.0465944
Sampson	0.046546
Brazile	0.0464945
Voskuhl	0.0464062
Krayzelburg	0.0463375
Messier	0.0463162
Cramer	0.046092
Romanowski	0.0458357
Ganassi	0.0456837
Lehane	0.0455545
Coulter	0.0455171
Skiles	0.0454995
"Steve Smith"	0.045457
"Jim Thomas"	0.0453476
Behr	0.0453317
Donahue	0.0452422
"Jim Harrick"	0.0452386
"Brian Jordan"	0.0452106
Bibby	0.0451175
ISSEL	0.0450427
"Dan Duquette"	0.044997
Belichick	0.0449868
Ellsworth	0.0448891
"John Smoltz"	0.0446377
Mariucci	0.0444939
Rubenstein	0.0441936
"Gianluca Vialli"	0.0441041
Paxon	0.0440495
Wasserstein	0.0439167
"Lindsey Graham"	0.0438103
Gatling	0.0436502
Rawabdeh	0.0436305
Okada	0.0435657
beamer	0.0435464
"Rich Brooks"	0.0434608
Aurelio	0.0434555
"Peter Lynch"	0.043433
Sherrill	0.0432907
"Van Gundy"	0.0432706
krueger	0.0431732
"Mike Smith"	0.0431298
Manuel	0.0430945
Barr	0.0430912
Hackett	0.0430586
Tubbs	0.0430362
Bubb	0.0428514
Jayakumar	0.0428454
nance	0.0428375
Vogts	0.0427862
Siegel	0.0425394
Gailey	0.0425285
Hoffman	0.0424624
Tanaka	0.0424618
Hartsburg	0.0424238
Jacquet	0.0423637
Cox	0.0423558
Lari	0.0423105
Schmid	0.0423071
Slade	0.0422451
Neilson	0.0419562
Herta	0.0419216
Sutter	0.0417381
Darnell	0.0417176
Calipari	0.0416273
Kenyon	0.0416077
"John Sweeney"	0.0415498
Steinbrenner	0.0414931
"John Rocker"	0.0414818
Osborne	0.0414798
Fleischer	0.0413797
Crenshaw	0.0413299
Nadler	0.0413214
Esiason	0.0412994
Hyman	0.0412508
"Dan Reeves"	0.0412414
))
("Bobby Estalella" (desc 1314.16) (sims
"Bill Mueller"	0.269327
"Mike Lieberthal"	0.246899
"Brent Mayne"	0.227098
"Brook Fordyce"	0.219707
"Ellis Burks"	0.202099
"Jeff Kent"	0.200064
"Gregg Zaun"	0.198997
"Einar Diaz"	0.198213
"Charlie Hayes"	0.197654
"Damian Miller"	0.190275
"Chris Widger"	0.185256
"Brian Johnson"	0.182146
"Paul LoDuca"	0.181645
"Eddie Taubensee"	0.171844
"Angel Pena"	0.171391
"Mitch Meluskey"	0.171059
"Tom Lampkin"	0.167315
"Paul Bako"	0.165736
"Darrin Fletcher"	0.162791
"Barry Bonds"	0.162469
"Bobby Abreu"	0.160573
"Scott Rolen"	0.15986
"Ron Gant"	0.159763
"J.T Snow"	0.15961
"Rob Ducey"	0.156855
"Rich Aurilia"	0.1565
"Bengie Molina"	0.155443
"Kelly Stinnett"	0.15012
"Doug Glanville"	0.14602
"Tony Eusebio"	0.145585
"Tyler Houston"	0.144982
"Cliff Floyd"	0.144096
"Rey Sanchez"	0.140719
"Carlos Beltran"	0.140067
"Bill Haselman"	0.139137
"Mike Sweeney"	0.137836
"CARLOS HERNANDEZ"	0.13685
"Marvin Benard"	0.135404
"Jorge Fabregas"	0.134572
"Pat Burrell"	0.133586
"Stan Javier"	0.132438
"Matt Walbeck"	0.132258
"Geoff Jenkins"	0.130753
"Mickey Morandini"	0.127987
"Jason Varitek"	0.127487
"Brad Fullmer"	0.124581
"Todd Pratt"	0.124066
"Russ Ortiz"	0.122737
"Shawn Estes"	0.122729
"Scott Hatteberg"	0.121439
Vidro	0.121289
"Erubiel Durazo"	0.120185
"Paul Konerko"	0.120127
"Deivi Cruz"	0.119641
"Phil Nevin"	0.119632
"Greg Myers"	0.118972
"Jason Kendall"	0.118769
"Jon Nunnally"	0.117901
"Brad Ausmus"	0.116786
"Alex Gonzalez"	0.116654
"Jeff Conine"	0.116299
Mabry	0.115828
"Ben Grieve"	0.115825
"Mark Loretta"	0.11458
"Miguel Tejada"	0.112222
"Javy Lopez"	0.111112
"Carlos Lee"	0.110882
"Matt Luke"	0.110839
"Dan Wilson"	0.110232
"Kevin Young"	0.110151
"Todd Walker"	0.108905
"Todd Greene"	0.108734
"Derrek Lee"	0.107539
"Damian Jackson"	0.107493
"Rafael Furcal"	0.107466
"Bruce Aven"	0.107252
"Eric Chavez"	0.10707
Aurilia	0.106744
Renteria	0.1062
"Benny Agbayani"	0.105583
"Cristian Guzman"	0.105418
Giambi	0.104996
"Pudge Rodriguez"	0.104967
"Eddie Perez"	0.104732
"Raul Ibanez"	0.103971
"Luis Castillo"	0.103932
"Eric Owens"	0.1036
"Todd Helton"	0.103089
"Chad Kreuter"	0.102715
"Richie Sexson"	0.102485
"Warren Morris"	0.101969
Lankford	0.101479
"Matt Stairs"	0.101314
"Terrence Long"	0.101243
"Henry Rodriguez"	0.101116
"Rico Brogna"	0.101059
"Russ Johnson"	0.100766
"Dmitri Young"	0.100523
"Gregg Jefferies"	0.100071
"Magglio Ordonez"	0.0999397
"Joe Girardi"	0.0997086
"Ray Durham"	0.0995849
"Jorge Posada"	0.0993496
"Ivan Rodriguez"	0.0988312
"Trot Nixon"	0.0986408
Glanville	0.0984605
Abreu	0.0978378
"Jeff Cirillo"	0.0971732
"Jeromy Burnitz"	0.0968526
"Adam Kennedy"	0.0957877
"Corey Koskie"	0.0956834
Lieberthal	0.0948801
"Mark Johnson"	0.0944624
"Ryan Dempster"	0.0944496
"Jose Cruz Jr."	0.0939751
"Ron Coomer"	0.093912
"Johnny Damon"	0.0937267
"Carlos Febles"	0.0936045
Burnitz	0.0935936
Rolen	0.0932472
"Chris Gomez"	0.0929473
"Sandy Alomar"	0.0929172
"Fred McGriff"	0.0923796
"Jermaine Dye"	0.0914883
Bichette	0.0908259
Higginson	0.0907193
Fullmer	0.0907181
"Wilton Veras"	0.0900867
Delgado	0.0900312
"Bubba Trammell"	0.0899003
"Dante Bichette"	0.0896852
"Charles Johnson"	0.0894911
"Jay Payton"	0.0893978
"Dave Martinez"	0.0893556
"Matt Franco"	0.0891669
"Mike Scioscia"	0.089098
"Bobby Higginson"	0.0890754
Nevin	0.0889986
"Rondell White"	0.0888848
"Ed Sprague"	0.0885105
"Jay Bell"	0.0882835
"Jim Leyritz"	0.0880735
Loretta	0.087872
"Shawon Dunston"	0.0878348
"Mike Lowell"	0.0877821
"Herbert Perry"	0.0876099
"Peter Bergeron"	0.0875258
Varitek	0.0874503
"Edgar Renteria"	0.0873766
"Shawn Green"	0.0871644
"John Vander Wal"	0.086885
Sexson	0.086862
Ordonez	0.0868363
"Joe Carter"	0.0866477
"Daryle Ward"	0.086579
"Manny Alexander"	0.0865368
"Ricky Ledee"	0.0864588
Agbayani	0.0862249
"Jose Vidro"	0.0861688
"Scott Spiezio"	0.086108
"Shannon Stewart"	0.0859405
"Troy O'Leary"	0.0854803
Tatis	0.0854172
"J.D Drew"	0.0853038
"Travis Fryman"	0.0852667
Kreuter	0.084965
Ausmus	0.0848643
"Eric Karros"	0.0845758
"Frank Thomas"	0.0843916
"Brian Hunter"	0.0843359
"Larry Walker"	0.0839352
"Aaron Boone"	0.0836598
Brogna	0.0835789
"Kirk Rueter"	0.0834807
"Jeff Weaver"	0.0833677
"Matt Lawton"	0.0830761
"Benji Gil"	0.0830165
Konerko	0.0829025
"Todd Hundley"	0.0828937
"Tony Batista"	0.0827547
"Paul Byrd"	0.0824665
"Melvin Mora"	0.0822975
"Michael Tucker"	0.0822102
"Travis Lee"	0.0821883
Fryman	0.0821693
"Mike Bordick"	0.0818448
"Kurt Abbott"	0.0817868
"Neifi Perez"	0.081569
"Mike Lamb"	0.0815628
"Luis Polonia"	0.0815458
"Richard Hidalgo"	0.081542
Batista	0.0814855
"Robb Nen"	0.0813886
Glaus	0.0813016
"Rey Ordonez"	0.0811262
"Luis Gonzalez"	0.0808376
"Tim Bogar"	0.0807345
Baines	0.0805316
Tejada	0.0804258
"Jose Valentin"	0.0799794
))
("Bobby Grier" (desc 1954.21) (sims
Grier	0.231958
"Ozzie Newsome"	0.206058
"Ernie Zampese"	0.13704
"Dwight Clark"	0.121341
Zampese	0.113397
McMellon	0.109256
"Bill Parcells"	0.10468
"Rod Thorn"	0.0985075
"Elgin Baylor"	0.0883992
"Pat Burns"	0.0737853
"Billy Hunter"	0.0733143
"Ray Rhodes"	0.0706101
"Kevin McHale"	0.0699916
"Jerry West"	0.0686098
"Colin Campbell"	0.0659398
"Neil LaBute"	0.0639846
Tagliabue	0.0628915
"J. Edgar Hoover"	0.0622822
"National Audubon Society"	0.0606598
"Mike Smith"	0.0586751
"Xie Zhenhua"	0.0581497
"Rick Pitino"	0.057622
"Bob Kraft"	0.0574472
"John G. Rowland"	0.0570527
"Tex Winter"	0.0569298
"Jerry Jones"	0.0566226
"International Rescue Committee"	0.0565359
"Vince McMahon"	0.0553707
"George Tenet"	0.0553458
"Franz Beckenbauer"	0.053967
Slade	0.0536376
"Doc Rivers"	0.0533673
"John Harrington"	0.0532785
"Ford Motor Company"	0.0531354
"TOM COUGHLIN"	0.0530891
literati	0.0525525
CPAFFC	0.0525403
"Elia Kazan"	0.0523764
"Willie McGinest"	0.0519913
Laban	0.0517852
"Gheorghe Hagi"	0.0517578
"Tony Graziani"	0.0515926
Grunwald	0.0504825
CFA	0.0504266
"Ralph Reed"	0.0503285
"Chinese Olympic Committee"	0.0500668
"David Lynch"	0.0496239
"Joko Suprianto"	0.0495335
"Michel Camdessus"	0.0495091
Yukos	0.0489665
"John Calipari"	0.048717
"Steven Soderbergh"	0.0486448
"Association for Relations Across"	0.0486093
"Mike Dunleavy"	0.0481821
Zambrano	0.0481206
"Akira Kurosawa"	0.0480629
"Wes Craven"	0.0477459
"Bob Daly"	0.0476976
"Don Baylor"	0.0472892
"Tim Burton"	0.0471373
McLane	0.0471021
Casserly	0.0469285
"Don Nelson"	0.0465338
Monson	0.0462757
"Steve Israel"	0.0462555
"Hearst Corporation"	0.0462047
"John Weaver"	0.0459713
"Dow Jones &AMP; Co."	0.0458711
"Chan Gailey"	0.0456112
"Joseph Estrada"	0.0455588
"Hu Weidong"	0.0454096
ACWF	0.0453223
"John Waters"	0.0453146
"American Association of Health Plans"	0.045162
"Dave Campo"	0.0448391
"Robert Wilson"	0.0447928
"Barry Levinson"	0.0446679
"Dick Pound"	0.0446399
"Tyrone Nesby"	0.0446049
"Quentin Tarantino"	0.044559
"George Steinbrenner"	0.0444901
Gainey	0.0443846
"Tebucky Jones"	0.044132
"International Badminton Federation"	0.0441142
Milloy	0.0440908
"Louis Freeh"	0.0440861
"Mike Ditka"	0.0438985
"gas line"	0.0438182
telecommuters	0.0437204
"Nora Ephron"	0.0436636
"Al Groh"	0.0435388
"retail operation"	0.0435309
"National Council of La Raza"	0.0433433
"Jonathan Demme"	0.0431749
"International Skating Union"	0.0429652
"EU Commission"	0.0426243
"Dennis Scott"	0.0421846
"Vin Scully"	0.0420377
"Dick Vermeil"	0.0417182
"Karen Hughes"	0.0415598
"Tom Landry"	0.0415153
"John Browne"	0.0415065
"World Vision"	0.0414934
"Pete Carroll"	0.0414409
"Allied Pilots Association"	0.0412982
"Larry Whigham"	0.0409008
"Oliver Stone"	0.0408711
"Prudential Insurance Co."	0.0406683
"Joe McEwing"	0.0404992
"Log Cabin Republicans"	0.0403377
"Richie Phillips"	0.040309
"Tony Simmons"	0.0402392
"Paolo Di Canio"	0.0400312
))
("Bobby Hamilton" (desc 1909.32) (sims
"Geoffrey Bodine"	0.273495
"Michael Waltrip"	0.241818
"Ken Schrader"	0.234515
"Joe Nemechek"	0.221255
"Darrell Waltrip"	0.20958
"Steve Park"	0.206126
"Rusty Wallace"	0.200168
"Mike Skinner"	0.198696
"Bill Elliott"	0.193916
"Dale Jarrett"	0.19237
"Sterling Marlin"	0.184912
"Terry Labonte"	0.18469
"Jimmy Spencer"	0.182546
"John Andretti"	0.179818
"Jeff Burton"	0.170285
"Kenny Wallace"	0.166715
"Kenny Irwin"	0.166635
"Ernie Irvan"	0.164712
"Jeremy Mayfield"	0.161469
"Mark Martin"	0.158484
"Kyle Petty"	0.152808
"Wally Dallenbach"	0.151465
"Jerry Nadeau"	0.14993
"Bobby Labonte"	0.147116
"Kevin Lepage"	0.147017
"Henry Thomas"	0.14523
"Ricky Craven"	0.142845
"Elliott Sadler"	0.137839
"Tony Stewart"	0.135036
"Dick Trickle"	0.131757
"Dale Earnhardt"	0.130337
"Buckshot Jones"	0.127483
"Trace Armstrong"	0.121488
"Mario Andretti"	0.117479
"Willie McGinest"	0.116009
"Brandon Mitchell"	0.11123
"Johnny Benson"	0.110509
"Jeff Gordon"	0.106451
"Scott Pruett"	0.102809
"Pete Holland"	0.102216
"Robby Gordon"	0.10188
"Charles Haley"	0.10074
"Ferric Collons"	0.0971375
"Ward Burton"	0.0962467
"Dimitrius Underwood"	0.0935838
"Richard Petty"	0.0924163
"Courtney Brown"	0.0910088
"Dale Earnhardt Jr."	0.0899081
"Lester Archambeau"	0.0892671
"Jason Taylor"	0.0886031
"Ricky Rudd"	0.0868997
"Derrick Alexander"	0.0866813
"Greg Moore"	0.0845287
"Adam Petty"	0.0840919
"Alonzo Spellman"	0.0833146
"Sam Adams"	0.0830244
"Ebenezer Ekuban"	0.0828009
"Howie Long"	0.0825822
"Todd Bodine"	0.0801709
"Matt Kenseth"	0.0780963
"Michael Strahan"	0.0778364
"John Randle"	0.0776791
"Chad Hennings"	0.0774284
"Kavika Pittman"	0.0759676
"Aaron Williams"	0.075009
"Cortez Kennedy"	0.0744886
"Greg Ellis"	0.0744516
"Ted Musgrave"	0.0727182
"Bruce Armstrong"	0.0718414
"Sam Schmidt"	0.0706519
"Warren Sapp"	0.0703482
"Mike Jones"	0.0679221
"Neil Smith"	0.0666706
"Heinz-Harald Frentzen"	0.0639885
"Simeon Rice"	0.0638269
"Chad Eaton"	0.0637035
"Andre Wadsworth"	0.062994
Earnhardt	0.0629475
"Al Unser Jr."	0.0624167
"Eddie Cheever"	0.0617452
"Chuck Smith"	0.0616813
"Reggie White"	0.0609434
"Bruce Smith"	0.0602513
"Earnhardt Jr."	0.0591113
"Christian Fittipaldi"	0.0582988
"Michael Andretti"	0.0579749
"Arie Luyendyk"	0.0561759
"Shane Dronett"	0.0553634
"Ralf Schumacher"	0.0544196
"Bryant Young"	0.053706
"Jumbo Elliott"	0.0527591
"stock car"	0.0523474
"Bryan Herta"	0.0516872
"JEVON KEARSE"	0.0514155
"Eddie Irvine"	0.0510669
"Tony Hutson"	0.0502717
"Michael Myers"	0.0500863
"Scott Zolak"	0.0493491
"Didier Auriol"	0.0481439
"Greg Ray"	0.0481014
"Tedy Bruschi"	0.0480892
"Dave McGinnis"	0.0480423
"Scott Sharp"	0.0479299
"Adrian Fernandez"	0.0466171
"Otis Smith"	0.04554
"Dana Stubblefield"	0.04465
"Max Papis"	0.0444322
Schrader	0.0441812
"Mika Salo"	0.0441025
"Travis Hall"	0.0440104
"Mark Smith"	0.0438744
"Jimmy Vasser"	0.0432931
"Leon Lett"	0.0429731
"Rich Brooks"	0.0425451
"Bobby Rahal"	0.0423816
"Colin McRae"	0.0422531
"Steve Israel"	0.041897
"Dario Franchitti"	0.041734
"Anita Wachter"	0.0414379
"Tony Massenburg"	0.0413266
"Bruce Matthews"	0.0408746
"Paul Tracy"	0.0406354
"Jacques Villeneuve"	0.0402845
"Damon Hill"	0.0401943
"Dick Jauron"	0.0401134
))
("Bobby Higginson" (desc 2600.9) (sims
"Tony Clark"	0.354705
"Dean Palmer"	0.324112
"Deivi Cruz"	0.319052
"Eric Owens"	0.313247
"Matt Lawton"	0.299299
"Mark Kotsay"	0.29376
"Luis Polonia"	0.284491
"Juan Encarnacion"	0.282422
"Geoff Jenkins"	0.281392
"Karim Garcia"	0.279592
"Bruce Aven"	0.275409
"John Vander Wal"	0.265893
"Carlos Lee"	0.26475
"Rondell White"	0.261455
"Bobby Abreu"	0.256468
"Damion Easley"	0.25617
"Carlos Beltran"	0.25554
"Danny Bautista"	0.255394
Vidro	0.251092
Rolen	0.248902
"Dave Martinez"	0.245502
"Jose Guillen"	0.244941
"Preston Wilson"	0.244812
"Rich Becker"	0.242251
"Stan Javier"	0.240588
"Butch Huskey"	0.238591
"Matt Stairs"	0.238513
"Joe Randa"	0.238243
"Derrek Lee"	0.238224
"Jon Nunnally"	0.238026
"Marquis Grissom"	0.237986
"Lance Berkman"	0.23715
"Bubba Trammell"	0.236537
"Marvin Benard"	0.236132
"Dmitri Young"	0.234775
"Luis Gonzalez"	0.231276
"Matt Franco"	0.230618
"Dante Bichette"	0.230075
Higginson	0.229864
"Jeff Conine"	0.228073
"Jeremy Giambi"	0.227264
"Damian Miller"	0.226285
"Johnny Damon"	0.222415
"Henry Rodriguez"	0.221848
"Russ Johnson"	0.221823
Sexson	0.221698
"Todd Walker"	0.220967
"Paul Bako"	0.220755
Lankford	0.220477
"Jeffrey Hammonds"	0.220156
"Brad Ausmus"	0.218775
"Rob Ducey"	0.218314
"Orlando Palmeiro"	0.217218
"Glenallen Hill"	0.216951
"Brian Giles"	0.216828
"Phil Nevin"	0.215541
"Bill Spiers"	0.215528
"Mark Loretta"	0.214297
"Doug Glanville"	0.214033
"Ron Gant"	0.213399
"Brian Hunter"	0.213263
Burnitz	0.213046
"Scott Spiezio"	0.213005
"Mike Sweeney"	0.212492
"Richard Hidalgo"	0.210415
"Marty Cordova"	0.209951
Fullmer	0.209534
"Ray Lankford"	0.209307
"Gregg Jefferies"	0.208665
"Pat Meares"	0.206287
"Ron Coomer"	0.206255
"Bill Mueller"	0.205753
"Chris Widger"	0.205577
"Dave Hansen"	0.205559
"Jermaine Dye"	0.205231
"Jeromy Burnitz"	0.20408
"Lenny Harris"	0.203896
"Vladimir Guerrero"	0.203662
"Michael Tucker"	0.202429
"Quinton McCracken"	0.201786
"Darren Bragg"	0.200805
"David Ortiz"	0.199099
"Cliff Floyd"	0.198918
"Tim Salmon"	0.198479
"Benny Agbayani"	0.197681
"Ben Grieve"	0.19749
"Eric Chavez"	0.196692
"Brant Brown"	0.19529
"Midre Cummings"	0.194849
"Ellis Burks"	0.193942
"Derek Bell"	0.193936
"Scott Rolen"	0.191767
"J.T Snow"	0.191561
"Jose Vidro"	0.191513
"Jose Hernandez"	0.189741
"Eddie Taubensee"	0.189499
"Warren Morris"	0.189384
"Mike Lieberthal"	0.189104
"Al Martin"	0.189082
"Reggie Sanders"	0.18897
"Steve Finley"	0.188798
"Brady Anderson"	0.188101
"Kevin Young"	0.187276
"Paul Konerko"	0.187175
"Todd Pratt"	0.186876
Veras	0.186751
"Rich Aurilia"	0.186048
"Miguel Cairo"	0.184866
"Matt Luke"	0.184607
"Jeff Cirillo"	0.18414
"Herbert Perry"	0.183767
Cirillo	0.183041
"Tom Goodwin"	0.182845
"Luis Alicea"	0.1822
"Gerald Williams"	0.182052
Nevin	0.181937
"David Dellucci"	0.181607
"Mickey Morandini"	0.181444
Lieberthal	0.181058
"Ruben Rivera"	0.180553
"Jason Giambi"	0.180469
"Jose Valentin"	0.179732
"Bernard Gilkey"	0.179555
"Jay Buhner"	0.179319
"Frank Catalanotto"	0.178978
"Alex Gonzalez"	0.178929
"Daryle Ward"	0.178818
"Mike Simms"	0.177489
"Ryan Klesko"	0.177453
"Gabe Kapler"	0.177406
"Travis Fryman"	0.175893
"Jay Bell"	0.175685
Aurilia	0.174935
"Richie Sexson"	0.173952
"Darren Lewis"	0.173676
"Damian Jackson"	0.173413
"Cristian Guzman"	0.172885
"Shawn Green"	0.172777
"Todd Greene"	0.172327
"Damon Buford"	0.172198
"B.J Surhoff"	0.17217
"Travis Lee"	0.172079
"John Mabry"	0.171104
"Jay Payton"	0.170595
Renteria	0.170546
"J.D Drew"	0.170211
"F.P Santangelo"	0.170013
"Ray Durham"	0.169974
"Andy Fox"	0.169946
"Juan Gonzalez"	0.169036
"Rusty Greer"	0.168732
"Tony Womack"	0.168668
"Terrence Long"	0.168609
"Tony Batista"	0.168597
"John Jaha"	0.167194
"Corey Koskie"	0.166774
"Darryl Hamilton"	0.166711
Abreu	0.166505
"Darin Erstad"	0.166443
"Fernando Vina"	0.166188
"Keith Lockhart"	0.165805
Glanville	0.16527
"Tim Bogar"	0.165117
"Kevin Elster"	0.164409
"Gary Sheffield"	0.164307
"Kevin Stocker"	0.164081
"Charlie Hayes"	0.1638
"Jason Varitek"	0.163531
grieve	0.163328
"Harold Baines"	0.163235
"Devon White"	0.163196
"Ricky Ledee"	0.163074
"Bill Haselman"	0.163037
"Todd Helton"	0.162664
Tejada	0.162171
"Trot Nixon"	0.161525
"Brad Fullmer"	0.161381
"Brian Jordan"	0.161283
"Joe McEwing"	0.161257
"Tony Eusebio"	0.160892
Ausmus	0.16067
"Ricky Gutierrez"	0.160613
McGriff	0.160579
"Pat Burrell"	0.159504
"Miguel Tejada"	0.159364
"Chad Curtis"	0.159223
"Kevin Jordan"	0.15921
"Wally Joyner"	0.159011
Bordick	0.158925
Giambi	0.158839
"Jeff Kent"	0.158702
"Matt Mieske"	0.158241
"Raul Ibanez"	0.157734
"Tony Graffanino"	0.157406
"Melvin Mora"	0.15729
"Jim Thome"	0.15685
"Ed Sprague"	0.15673
"Greg Vaughn"	0.156662
"Brent Mayne"	0.156416
"Moises Alou"	0.156415
"Peter Bergeron"	0.156412
"Troy Glaus"	0.156145
"Mark Grace"	0.155927
"Jason McDonald"	0.15559
"Brook Fordyce"	0.155403
"Jeff Bagwell"	0.155234
Beltran	0.155112
"Mike Lansing"	0.155103
"Bengie Molina"	0.155077
"Magglio Ordonez"	0.154731
"Todd Hollandsworth"	0.154482
"Kelly Stinnett"	0.154236
"Manny Alexander"	0.154162
"Eric Karros"	0.153722
"Rickey Henderson"	0.153583
"Roger Cedeno"	0.153291
"Mike Cameron"	0.152904
"Sean Casey"	0.152494
"Desi Relaford"	0.152468
Alicea	0.152345
"David Segui"	0.150902
"Trenidad Hubbard"	0.150375
"Brian Daubach"	0.150195
"Roberto Kelly"	0.149524
DeShields	0.14935
Javier	0.148496
"Mike Lamb"	0.148255
"Garret Anderson"	0.148012
Erstad	0.14796
"Rico Brogna"	0.14794
Dunston	0.147601
"Chris Gomez"	0.147578
Klesko	0.14736
"Kenny Lofton"	0.146717
"Mike Bordick"	0.145863
Olerud	0.145831
"Willie Greene"	0.145651
Batista	0.145379
"Neifi Perez"	0.145172
"Jason Kendall"	0.144562
"Raul Mondesi"	0.144435
"Enrique Wilson"	0.144231
"Jose Offerman"	0.144012
Alfonzo	0.143949
Lawton	0.143781
Konerko	0.143518
"Aaron Boone"	0.143175
"Jose Cruz Jr."	0.142938
Karros	0.142932
Tatis	0.142856
Bichette	0.142315
"GERONIMO BERROA"	0.142099
"Manny Ramirez"	0.141827
"Shannon Stewart"	0.141731
Randa	0.141612
"Mike Stanley"	0.141609
Valentin	0.141583
"Russ Davis"	0.141516
"Erubiel Durazo"	0.141255
Hollins	0.141171
"Javy Lopez"	0.140973
Glaus	0.140848
"Royce Clayton"	0.140739
"Tom Lampkin"	0.140313
"Brian McRae"	0.14026
"Mark Grudzielanek"	0.140124
"Adam Kennedy"	0.13983
"Larry Walker"	0.138744
Delgado	0.138597
Spiers	0.138372
"Barry Larkin"	0.13826
"Andruw Jones"	0.137934
"Ozzie Guillen"	0.137829
"Wil Cordero"	0.137722
"Craig Counsell"	0.13759
Ordonez	0.137219
"Fred McGriff"	0.137185
"David Bell"	0.137132
"Robin Ventura"	0.137124
"Rafael Palmeiro"	0.136893
"Lee Stevens"	0.136215
Fryman	0.135576
"Matt Williams"	0.135425
"Pokey Reese"	0.135055
"Craig Paquette"	0.135027
Agbayani	0.134966
"Edgardo Alfonzo"	0.134516
"Rey Sanchez"	0.134218
Alomar	0.13421
"Eric Davis"	0.134132
"Frank Thomas"	0.134107
"Adrian Beltre"	0.133848
"Edgar Martinez"	0.133575
"Scott Hatteberg"	0.133387
Baerga	0.133296
"Troy O'Leary"	0.132844
"Bobby Bonilla"	0.132691
Gant	0.132608
Bagwell	0.132481
"Matt Walbeck"	0.132141
Bautista	0.132018
"Randy Velarde"	0.131994
"Carl Everett"	0.131847
"Ken Caminiti"	0.131546
Biggio	0.131329
Castilla	0.131191
"Todd Hundley"	0.131107
"Carlos Delgado"	0.130925
"Mike Lowell"	0.13074
"Otis Nixon"	0.13062
"Luis Lopez"	0.130335
Mabry	0.130266
"Lance Johnson"	0.130113
"John Olerud"	0.129723
"Ivan Rodriguez"	0.129355
Hidalgo	0.129308
"Walt Weiss"	0.129216
"Bret Boone"	0.129163
"Will Clark"	0.128781
"Scott Brosius"	0.128588
"Einar Diaz"	0.128457
"Tony Phillips"	0.12831
"Tino Martinez"	0.127881
"Joey Cora"	0.127603
McLemore	0.12673
"Quilvio Veras"	0.126561
"Albert Belle"	0.12641
"Reggie Jefferson"	0.126397
"Jose Canseco"	0.126269
"Edgar Renteria"	0.125858
Kapler	0.125719
Cedeno	0.12543
"Chipper Jones"	0.125269
Stinnett	0.125179
Thome	0.12489
"John Valentin"	0.124575
"Eddie Perez"	0.123542
"Craig Biggio"	0.123495
"Paul O'Neill"	0.123191
"Fernando Tatis"	0.122925
"Alex Rodriguez"	0.12269
Daubach	0.122575
Elster	0.122459
"Vinny Castilla"	0.122425
"Jim Edmonds"	0.121826
"Bobby Smith"	0.121757
Bergeron	0.121513
Easley	0.121123
"Chili Davis"	0.120893
Hatteberg	0.120546
Segui	0.120212
"Dave Hollins"	0.120003
"Eric Young"	0.119488
"Todd Zeile"	0.118591
"Shane Spencer"	0.118169
Leyritz	0.118006
"Joe Girardi"	0.117552
"Jeff King"	0.117487
Surhoff	0.117263
"Barry Bonds"	0.11711
Guillen	0.116121
"Jim Leyritz"	0.116054
"Bernie Williams"	0.115721
Lofton	0.115665
Saenz	0.115598
Frye	0.11552
Grissom	0.114956
"Shawon Dunston"	0.114635
Eusebio	0.114204
"Carlos Febles"	0.114052
"Sandy Alomar"	0.113936
"Brian Johnson"	0.113853
"Gregg Zaun"	0.113788
Grudzielanek	0.113543
"Tim Raines"	0.113326
Vizquel	0.113256
"Tyler Houston"	0.11256
Palmeiro	0.11249
Taubensee	0.112469
"Jorge Posada"	0.112213
Buhner	0.112141
"Tony Gwynn"	0.112074
Varitek	0.111934
"CARLOS HERNANDEZ"	0.111786
"Carlos Baerga"	0.111442
"Kirk Gibson"	0.111387
"Cecil Fielder"	0.110839
"Justin Thompson"	0.110487
Merloni	0.110389
Cordero	0.110008
"Delino DeShields"	0.109768
Meares	0.109521
"Omar Vizquel"	0.109498
"Mark McLemore"	0.108372
Caminiti	0.108105
"Chuck Knoblauch"	0.108033
"Jeff Weaver"	0.107905
"Jose Vizcaino"	0.107695
Womack	0.107421
Hollandsworth	0.107318
Catalanotto	0.107239
Beltre	0.107044
Offerman	0.106687
"Wilton Guerrero"	0.106672
Cabrera	0.106598
Canseco	0.106475
Velarde	0.106474
"Ruben Mateo"	0.105958
"Kurt Abbott"	0.105671
"Shane Andrews"	0.10549
"Gary DiSarcina"	0.105485
Ledee	0.104849
Boone	0.10463
"Angel Pena"	0.103157
Huskey	0.102872
"Greg Colbrunn"	0.102778
"Charles Johnson"	0.102719
Guzman	0.102598
"Joe Carter"	0.10234
"Brian Moehler"	0.101674
Burks	0.100837
"Darrin Fletcher"	0.100084
))
("Bobby Holik" (desc 2788.47) (sims
"Petr Sykora"	0.43819
"Jay Pandolfo"	0.398952
"Patrik Elias"	0.371309
"Brian Rolston"	0.339706
"Jason Arnott"	0.335076
"Scott Gomez"	0.327233
"Randy McKay"	0.238867
"Lyle Odelein"	0.219177
"Scott Niedermayer"	0.215222
"Claude Lemieux"	0.208508
"Ken Daneyko"	0.193404
"Alexander Mogilny"	0.173858
"Scott Stevens"	0.163927
Holik	0.162985
"Dave Andreychuk"	0.149586
"Manny Malhotra"	0.140503
"Igor Larionov"	0.123213
"John Madden"	0.122459
Elias	0.119503
"Joe Sakic"	0.111082
Arnott	0.108039
"Mathieu Schneider"	0.107271
"Doug Gilmour"	0.106588
"ZIGMUND PALFFY"	0.105955
"Cliff Ronning"	0.104994
"Bob Corkum"	0.104488
"Doug Weight"	0.103513
"Jeremy Roenick"	0.0979722
"Ron Francis"	0.095667
"Steve Yzerman"	0.0921836
"Peter Forsberg"	0.0899461
"Joe Thornton"	0.087144
"Alexei Kovalev"	0.0865786
"Jason Allison"	0.0864095
"Vlade Divac"	0.0863038
Niedermayer	0.0861729
"Vitaly Potapenko"	0.0859704
"Alexei Yashin"	0.081693
"Mark Stepnoski"	0.0803061
"Ken Johnson"	0.0796301
"Chris Mihm"	0.0795555
"Michael Peca"	0.0789636
"Keith Primeau"	0.0788219
"Robert Reichel"	0.0783474
"Tim Taylor"	0.0782235
"Bill Wennington"	0.0763175
"Dave Wohlabaugh"	0.0763163
Selanne	0.0760883
"Martin Brodeur"	0.0756391
Leetch	0.0755941
"Travis Green"	0.0753158
"Ziggy Palffy"	0.0738833
"Chris Drury"	0.0736235
Woolley	0.0735221
Ceballos	0.072018
"Lisa Leslie"	0.0719789
"Rik Smits"	0.0711405
"Derrick Coleman"	0.0708958
Laperriere	0.070766
"Matt Geiger"	0.0705985
"Keith Tkachuk"	0.0704912
"Chris Taylor"	0.0704277
"Theo Ratliff"	0.069837
"Joe Kleine"	0.0697564
"Steve Rucchin"	0.0695688
"Sergei Fedorov"	0.0688647
"Eric Lindros"	0.0686114
"Grant Long"	0.0684979
"Vladimir Malakhov"	0.0683363
"Vincent Damphousse"	0.0680924
"Theo Fleury"	0.0674975
"Olden Polynice"	0.0671237
McKay	0.0668662
"Bruce Matthews"	0.066696
"Peter Bondra"	0.0663476
"Yanic Perreault"	0.0662955
"Olli Jokinen"	0.0662834
"Brad Miller"	0.0662643
Suker	0.0660212
"Damien Woody"	0.0657382
Sakic	0.0656758
Roenick	0.0656272
"Brian Skrudland"	0.065619
"Milan Hejduk"	0.0656158
"Etan Thomas"	0.0655135
"Jermaine O'Neal"	0.0654094
Yashin	0.0653922
"Miroslav Satan"	0.0653909
Jagr	0.065129
Lindros	0.0650764
"Pierre Turgeon"	0.0650728
"Kenyon Martin"	0.0649803
"Paul Coffey"	0.0644331
"Ray Ferraro"	0.0642191
"Curtis Brown"	0.0638276
"Bryan Smolinski"	0.0637167
Yzerman	0.0636197
"Steve Thomas"	0.0635366
"Wendel Clark"	0.06328
"Steve Heinze"	0.0631702
"Maurice Taylor"	0.0630988
"Aaron Gavey"	0.063095
"Cedric Ceballos"	0.0624773
"Corliss Williamson"	0.0624607
"Ike Austin"	0.0623306
"Mark Messier"	0.0623042
"Dikembe Mutombo"	0.0622589
"Brett Hull"	0.0621685
Palffy	0.0619751
"Wang Zhizhi"	0.0609486
"Raef LaFrentz"	0.0608941
"Mike Sullivan"	0.0605129
Schmid	0.0604107
Heinze	0.0603578
Reichel	0.0601944
"Donyell Marshall"	0.0599794
Hejduk	0.0598793
"Tony Hrkac"	0.0596563
Tkachuk	0.0592996
Bourque	0.0592633
Tocchet	0.0591852
"Guy Carbonneau"	0.0590942
"Adam Oates"	0.059045
"Gary Roberts"	0.0590052
"Brian Scalabrine"	0.0588641
"Petr Nedved"	0.0587606
Modano	0.0584003
Tverdovsky	0.0581666
MacInnis	0.0580687
Ainge	0.0579422
Sykora	0.0578767
"Jozef Stumpel"	0.05781
Sissi	0.0576983
LeClair	0.0576485
"Byron Dafoe"	0.0575345
Andreychuk	0.0575101
Robitaille	0.057461
Sundin	0.0569585
Fleury	0.0567558
"Brian McBride"	0.0567074
"Marcus Fizer"	0.056618
"Scot Pollard"	0.0564669
"Juha Ylonen"	0.0563314
"Joe Nieuwendyk"	0.0562291
"Joe Juneau"	0.0562275
Sasser	0.0561966
"Travis Knight"	0.0561958
"Tyrone Nesby"	0.0561077
Summitt	0.0560696
"Yao Ming"	0.0560195
Baerga	0.0559706
"Jennifer Gillom"	0.0559635
"Elden Campbell"	0.0555042
Langenbrunner	0.0553756
"Alan Henderson"	0.055368
"Ian Laperriere"	0.0552328
Donato	0.0550232
Lemieux	0.0548618
"Joe Murphy"	0.0548416
"Kenny Thomas"	0.0547839
"Rasheed Wallace"	0.0546045
"Scott Thornton"	0.0544292
Solis	0.0544283
"Jake Voskuhl"	0.054141
"Chris Anstey"	0.0540222
Vieri	0.0539334
Bierhoff	0.0539327
"Patrik Stefan"	0.0538882
Gorter	0.0538801
"Yolanda Griffith"	0.0538019
"Ante Razov"	0.0536675
"Jayson Williams"	0.0536257
"Mats Sundin"	0.0535919
"Jaromir Jagr"	0.0532651
Atler	0.0532025
"J.R Reid"	0.0531544
Sabonis	0.0530934
"Arvydas Sabonis"	0.0530805
Jacobsen	0.0530413
Messier	0.0529132
"Matt Santangelo"	0.05284
"Aaron Williams"	0.0527941
"Pavol Demitra"	0.0527679
"Joe-Max Moore"	0.0527067
"Bill Guerin"	0.0525672
"David Robinson"	0.0525286
"Keith Van Horn"	0.0524911
"Hao Haidong"	0.052411
"Dallas Drake"	0.0522187
Smolinski	0.0521858
"U.S. STOCKS"	0.0521767
Hoch	0.0521293
Dougherty	0.0520372
Biffle	0.0519659
"Sean Rooks"	0.0519143
Checo	0.0518405
"Kevin Willis"	0.0517729
"Mark Bryant"	0.051737
"Eddie House"	0.0517099
"Benoit Hogue"	0.0514956
))
("Bobby Hoying" (desc 1389.96) (sims
"Gus Frerotte"	0.253189
"Doug Pederson"	0.220673
"Steve Beuerlein"	0.215752
"Tony Banks"	0.208497
"Trent Green"	0.195969
"Danny Kanell"	0.191811
"Jason Garrett"	0.186481
"Damon Huard"	0.180967
"Eric Zeier"	0.178705
"Ty Detmer"	0.167588
"Elvis Grbac"	0.163459
"Rodney Peete"	0.160642
"Todd Husak"	0.157631
"Charlie Batch"	0.155589
"Scott Mitchell"	0.149278
"Danny Wuerffel"	0.14862
"Bubby Brister"	0.147587
"Jim Harbaugh"	0.138294
"Ryan Kealy"	0.137855
"Neil O'Donnell"	0.137766
"Steve McNair"	0.137746
"Jeff Garcia"	0.135769
"Erik Kramer"	0.135283
"Brian Griese"	0.133689
"Kent Graham"	0.131313
"Dave Brown"	0.129868
"Glenn Foley"	0.128732
"Rich Gannon"	0.128628
"Marcus Outzen"	0.128151
"JOHN FRIESZ"	0.126627
"Kerry Collins"	0.123028
"Bobby Newcombe"	0.12096
"Trent Dilfer"	0.119945
"Scott Zolak"	0.118459
"Jeff Blake"	0.11677
"Tee Martin"	0.114851
"Tony Graziani"	0.113081
"Rob Johnson"	0.113029
"Mike Van Raaphorst"	0.110909
"Drew Bennett"	0.110033
"Charlie Garner"	0.109263
"Jeff George"	0.108664
"Mark Brunell"	0.106665
"Jarious Jackson"	0.105316
"Ray Lucas"	0.104421
"Quincy Carter"	0.103668
"Paul Justin"	0.102733
"Tom Brady"	0.102079
"Brad Johnson"	0.101173
"Kordell Stewart"	0.101158
"John Fox"	0.0991538
"Jake Plummer"	0.0975526
"Jon Kitna"	0.0972543
"Randall Cunningham"	0.0960367
"Doug Johnson"	0.0951578
"Jim Druckenmiller"	0.0931234
"Michael Bishop"	0.0891722
"Carson Palmer"	0.0854727
"Rick Mirer"	0.0853871
"Doug Flutie"	0.0846993
"Major Applewhite"	0.0839543
"Chris Chandler"	0.0837979
Applewhite	0.0826014
"Van Raaphorst"	0.0815191
"Shaun King"	0.0812575
"Warren Moon"	0.0811117
Brunell	0.080779
Griese	0.0804035
"Drew Bledsoe"	0.0803937
"Ryan McCann"	0.0799844
"Joe Hamilton"	0.0797787
"Cory Paus"	0.0787386
"Tim Couch"	0.0786655
"Drew Brees"	0.0786248
"Steve DeBerg"	0.0783532
"Keith Smith"	0.0769586
"Chris Simms"	0.0762898
"Ronnie Bradford"	0.0762346
"Peyton Manning"	0.0749205
"Chris Weinke"	0.0731124
"Brock Huard"	0.0726666
"Donovan McNabb"	0.0722909
"Ortege Jenkins"	0.0711706
Liston	0.0706091
"Woody Williams"	0.0681793
"Michael Westbrook"	0.0679576
"Brett Favre"	0.0676999
"Chad Pennington"	0.0673186
"Akili Smith"	0.0669029
Kanell	0.0667901
"Dan Marino"	0.0663351
"Kurt Warner"	0.066167
"Jack McDowell"	0.0657125
"Drew Henson"	0.0655787
"Eric Snow"	0.0652534
"Paul Spoljaric"	0.0649498
"Russ Ortiz"	0.0642447
"Troy Aikman"	0.0638156
"Todd Collins"	0.0633264
Dilfer	0.0632316
"Roger Staubach"	0.0628927
"Steve Trachsel"	0.0626108
Eldred	0.0625263
"Michael Vick"	0.0618731
Harbaugh	0.0616941
"Phil Simms"	0.0613427
"Dave Wohlabaugh"	0.0613247
"June Jones"	0.0612514
"Tom Tupa"	0.0611271
"Felix Potvin"	0.06064
"Roman Turek"	0.0602574
Hasselbeck	0.0594479
"Jason Schmidt"	0.0594136
"SCOTT BURRELL"	0.0587006
"Gary Kubiak"	0.0583946
"Chris Carpenter"	0.0578318
"Boomer Esiason"	0.0578225
"Vinny Testaverde"	0.057494
"Bruce Chen"	0.0574904
"Omar Olivares"	0.0573927
"Jim McIlvaine"	0.0567406
"Cade McNown"	0.0565576
"Jerome Bettis"	0.0562066
"Daunte Culpepper"	0.0560855
Brees	0.0559168
"Matt Geiger"	0.0558503
Shurmur	0.0557831
Ranford	0.0555525
"Ron Villone"	0.0555079
"Bill Ranford"	0.0553095
"Larry Centers"	0.0552884
Schoeneweis	0.0551931
"Dan Cloutier"	0.0551133
"Glenn Hoddle"	0.0549354
"Steve Young"	0.0547391
"Mark Gardner"	0.0546604
Kitna	0.0546139
Plummer	0.054312
"Tyrone Wheatley"	0.0543117
"Ryan Leaf"	0.0542799
"Ken Cloude"	0.0540789
"Manny Legace"	0.0540751
"Arturs Irbe"	0.054058
Burba	0.0537277
"Johnny Unitas"	0.0534036
Lieberthal	0.0531605
"Steve Campbell"	0.0530753
DeBerg	0.05299
"Eric Milton"	0.0529393
Daigle	0.0528603
"Chris Dudley"	0.0527969
"Corliss Williamson"	0.052768
"Joe Kleine"	0.0527545
"Manny Fernandez"	0.0527496
"three pitchers"	0.0526407
"Charlie Ward"	0.052586
Perisho	0.0522032
"Tim Belcher"	0.0521906
Woodard	0.0521039
Petkovsek	0.0520013
"Brian Moehler"	0.0518421
"Darren Oliver"	0.0517364
"Jesse Orosco"	0.0516455
"Terry Bradshaw"	0.0515413
"Aaron Sele"	0.0514615
"Darryl Kile"	0.0513495
"Grant Long"	0.0512535
"Mike Vernon"	0.0512105
"Jin Ho Cho"	0.0509961
"Pedro Astacio"	0.050931
McCown	0.0504962
Rongen	0.0504477
"John Vanbiesbrouck"	0.0501376
Boller	0.0501184
Appier	0.0499995
"Kenny Rogers"	0.0498811
"Ike Austin"	0.0497546
"Norm Maracle"	0.0495872
"Rob Tallas"	0.0494115
"Travis Knight"	0.0494054
"Alan Henderson"	0.0493396
"Mikhail Shtalenkov"	0.0493285
Weinke	0.0491442
"Breda Kolff"	0.0491369
QBs	0.0489494
"Jim Kelly"	0.0488642
"Ramiro Mendoza"	0.0487145
"Brian Anderson"	0.0487087
Mirer	0.0486891
Favre	0.0486688
Duchesne	0.0485016
"Jermaine O'Neal"	0.0481857
"Doug Glanville"	0.0481584
"Bryce Florie"	0.0474658
"Ramon Martinez"	0.0473385
Isringhausen	0.0471873
Cormier	0.0470579
"Kevin Appier"	0.046879
Marinovich	0.0468157
"Pat Rapp"	0.0465319
))
("Bobby Jones" (desc 6737.95) (sims
"Rick Reed"	0.211019
"Byron Nelson"	0.197719
"Gene Sarazen"	0.191647
"Al Leiter"	0.190988
"Masato Yoshii"	0.190868
"Armando Reynoso"	0.185937
"Jamey Wright"	0.166183
"Sam Snead"	0.165919
"Ben Hogan"	0.16079
"Woody Williams"	0.157678
"Dave Mlicki"	0.155902
"Steve Parris"	0.155329
"Dennis Cook"	0.1516
"Scott Karl"	0.149987
"Brian Moehler"	0.147833
"Hideo Nomo"	0.144948
"Gil Heredia"	0.1443
"Pedro Astacio"	0.142994
"Kenny Rogers"	0.14273
"Kirk Rueter"	0.140527
"Terry Mulholland"	0.135944
"Shawn Estes"	0.134005
"John Burkett"	0.133505
"Chris Carpenter"	0.133251
"Jack Nicklaus"	0.132738
"Arnold Palmer"	0.132007
"Rolando Arrojo"	0.130775
"Jesus Sanchez"	0.130485
"Darryl Kile"	0.130414
"Octavio Dotel"	0.130334
"Jim Parque"	0.129821
"Orel Hershiser"	0.128987
"Ken Cloude"	0.128797
"Alex Fernandez"	0.127677
"BRIAN MEADOWS"	0.127309
"Jaret Wright"	0.126982
"Eric Milton"	0.126853
"Paul Abbott"	0.126231
"Mike Hampton"	0.125925
"Jamie Moyer"	0.125433
"Shane Reynolds"	0.125228
"Jeff Weaver"	0.125089
"John Franco"	0.124731
"Bill Pulsipher"	0.124408
"Jon Lieber"	0.124203
"Ryan Dempster"	0.123952
"Brian Bohanon"	0.123583
"Bryce Florie"	0.123208
"Turk Wendell"	0.122901
"Mac Suzuki"	0.122721
"Chan Ho Park"	0.122526
"Russ Ortiz"	0.122066
"Brett Tomko"	0.120961
"Gary Player"	0.120393
"Todd Stottlemyre"	0.120117
"Paul Byrd"	0.119227
"Pat Rapp"	0.118772
"Omar Olivares"	0.118567
"Javier Vazquez"	0.118556
"Darren Oliver"	0.118448
"Esteban Loaiza"	0.118317
"Wilson Alvarez"	0.118151
"Joey Hamilton"	0.117644
"Pete Harnisch"	0.11721
"Chris Holt"	0.117056
"Jason Isringhausen"	0.117051
"Kevin Tapani"	0.116961
"Andy Pettitte"	0.116689
"Scott Erickson"	0.116608
"Russ Springer"	0.116426
"Freddy Garcia"	0.115117
"Rick Helling"	0.114066
"Ryan Glynn"	0.113887
"Mark Gardner"	0.113705
"Al Levine"	0.112713
"Pete Schourek"	0.112423
"Jeff Fassero"	0.112241
"Mark Clark"	0.112032
"Andy Benes"	0.111727
"Rich Rodriguez"	0.111541
"Tom Glavine"	0.111425
"Chuck Finley"	0.111325
"Gil Meche"	0.111098
"Kent Mercker"	0.11104
"Ramon Martinez"	0.111027
"Ken Hill"	0.110866
"John Smoltz"	0.110497
"Bret Saberhagen"	0.110271
"Jose Jimenez"	0.109956
"Steve Sparks"	0.109734
"Dwight Gooden"	0.109327
"Willie Blair"	0.109191
"Tom Candiotti"	0.108955
"Jason Dickson"	0.108431
"Hideki Irabu"	0.108072
"Sean Bergman"	0.107858
"Ismael Valdes"	0.10772
"Scott Elarton"	0.107526
"Dave Burba"	0.10751
"Bartolo Colon"	0.107475
"Francisco Cordova"	0.107292
"Darren Dreifort"	0.107209
"Brad Radke"	0.107182
"Jason Bere"	0.106801
"Kent Bottenfield"	0.106376
"Bruce Chen"	0.105692
"Jason Schmidt"	0.10461
"Steve Avery"	0.104054
"Dustin Hermanson"	0.103949
"Mark Portugal"	0.103823
"Mike Morgan"	0.10377
"Orlando Hernandez"	0.103268
"Mike Sirotka"	0.10321
"Byung-Hyun Kim"	0.103209
"Greg Swindell"	0.103048
"Ramon Ortiz"	0.102919
"Allen Watson"	0.102643
"John Halama"	0.102432
"John Snyder"	0.10233
"Pat Hentgen"	0.102325
"Jose Lima"	0.102307
"Matt Morris"	0.102147
"Brian Anderson"	0.101479
"Juan Guzman"	0.101394
"Steve Trachsel"	0.101072
"Brian Rose"	0.100429
"Tim Belcher"	0.0997226
"Armando Benitez"	0.0995676
"Mark Langston"	0.0990994
"Andy Ashby"	0.0990943
"Brett Hinchliffe"	0.0988607
"STEVE WOODARD"	0.0984054
"Doug Davis"	0.0981508
"Charles Nagy"	0.0978446
"Denny Neagle"	0.0978046
"Robinson Checo"	0.0975813
"Omar Daal"	0.0971185
"Sterling Hitchcock"	0.0970423
"Sidney Ponson"	0.0969696
"Tim Wakefield"	0.0962453
"Odalis Perez"	0.0961363
"Ron Villone"	0.0959035
Nomo	0.0946171
"Scott Schoeneweis"	0.0944063
Harnisch	0.0936454
"Kevin Appier"	0.0933078
"Carlos Perez"	0.0926976
"Jarrod Washburn"	0.0923734
"Justin Thompson"	0.0921947
Yoshii	0.0915388
"John Hudek"	0.0915076
"Aaron Sele"	0.091248
"Mike Mussina"	0.0912377
"Carl Pavano"	0.0911936
"Greg McMichael"	0.0911702
Rusch	0.091075
"Antonio Osuna"	0.0909712
"Kevin Millwood"	0.0908151
Leiter	0.0907615
"Paul Spoljaric"	0.090728
"Ramiro Mendoza"	0.0905599
"Livan Hernandez"	0.0902896
"Mike Remlinger"	0.0900565
"Brian Cooper"	0.0897637
"Mark Petkovsek"	0.0891609
"Ed Yarnall"	0.0887401
"Eric Gagne"	0.0884904
"Paul Shuey"	0.0879944
"Curt Schilling"	0.0877485
"Jason Christiansen"	0.0875266
"Robb Nen"	0.0873651
"Alan Embree"	0.0866569
"Jamie Arnold"	0.0862675
"John Wasdin"	0.086174
Trachsel	0.0857813
"Chuck McElroy"	0.0857047
"Randy Myers"	0.0850621
"Mike Fetters"	0.0848735
"Jack McDowell"	0.0837879
"Mel Rojas"	0.0831114
"Tom Watson"	0.0830224
"Kerry Ligtenberg"	0.0827714
Astacio	0.0823561
"Matt Herges"	0.0817285
Mercker	0.0815668
"Gregg Olson"	0.0813776
"Matt Perisho"	0.0813689
Hershiser	0.0811211
"Jeff Nelson"	0.0811032
"James Baldwin"	0.080991
Reynoso	0.0802522
"Brad Penny"	0.0801627
"Scott Williamson"	0.0798259
D'Amico	0.0796742
Rueter	0.0795546
"David Wells"	0.0795309
Benes	0.0794486
Schourek	0.0789273
Bere	0.0786011
"Terry Adams"	0.0783764
))
("Bobby Julich" (desc 1853.51) (sims
"Francesco Casagrande"	0.222847
"Alex Zulle"	0.205057
"Lance Armstrong"	0.200197
"Laurent Brochard"	0.178832
"Fernando Escartin"	0.169404
"Richard Virenque"	0.16448
"Bjarne Riis"	0.157462
Jalabert	0.139459
"Marco Pantani"	0.139016
"Laurent Dufaux"	0.136877
Julich	0.13188
"Stuart O'Grady"	0.131042
"Alex Zuelle"	0.130983
"Tyler Hamilton"	0.12523
"Laurent Jalabert"	0.121975
"Erik Zabel"	0.110469
"Tara Snyder"	0.107169
"MaliVai Washington"	0.10493
"Vincent Spadea"	0.103972
"Abraham Olano"	0.103247
Pantani	0.10053
"Tom Dolan"	0.0999383
"Steve Campbell"	0.0972396
"Mario Cipollini"	0.0969211
Ullrich	0.0964355
"Michele Bartoli"	0.0955465
"Paul Goldstein"	0.0922063
"Corina Morariu"	0.0913563
"Lenny Krayzelburg"	0.0894182
"Chris Boardman"	0.0880775
"Gail Devers"	0.0863202
"Regina Jacobs"	0.0860495
"Vince Spadea"	0.0841258
"Picabo Street"	0.0831769
"Janet Lee"	0.0822267
"Miguel Indurain"	0.0807737
"Marion Jones"	0.0802014
"Chris Woodruff"	0.0801824
"Kimberly Po"	0.0800869
"John Godina"	0.0799095
"Jeff Tarango"	0.0784282
"Pavel Tonkov"	0.0781847
"Allen Johnson"	0.0781083
"Jonathan Stark"	0.0769564
"Richey Reneberg"	0.0763238
"Maurice Greene"	0.0759834
"Johan Museeuw"	0.0755934
"Amy Frazier"	0.075357
"Mary Joe Fernandez"	0.074175
"Sarah Hughes"	0.0736626
"Jan-Michael Gambill"	0.0709771
"Jenny Thompson"	0.0696144
"Stacy Dragila"	0.0673358
"Michael Johnson"	0.0669484
"Lisa Raymond"	0.0668071
"Chanda Rubin"	0.0664312
Cipollini	0.0652601
"Jorge Chavez"	0.0649991
Millar	0.0642023
"Jennifer Capriati"	0.0640161
"Michelle Kwan"	0.0639805
"Alexandra Stevenson"	0.0635619
"Isolde Kostner"	0.0630452
"Anita DeFrantz"	0.062941
"Jeff Hartwig"	0.062937
"Michael Chang"	0.0624871
"Tom Steels"	0.0624611
"Pat Day"	0.0617152
Virenque	0.060987
"Monica Seles"	0.0606953
"Todd Martin"	0.0600923
UNOCAL	0.0599429
"Lindsay Davenport"	0.0589864
"Lori McNeil"	0.058747
"Martin Schmitt"	0.0580147
"Dennis Mitchell"	0.0575067
"Max Biaggi"	0.056793
Svorada	0.056783
"Frenchman Laurent Jalabert"	0.0564958
Bartoli	0.0563855
"Juha Kankkunen"	0.0562515
"Justin Gimelstob"	0.056118
"Deon Hemmings"	0.0561098
TVM	0.0558264
"Derrick Adkins"	0.0547302
"Carlos Sainz"	0.0546233
"Todd Eldredge"	0.0545562
"Tara Lipinski"	0.0544844
"Alex O'Brien"	0.054147
"William Walker"	0.0537942
"Kim Batten"	0.053622
"Scott Pruett"	0.0534546
Klim	0.0531955
"Inger Miller"	0.0531813
"Mark Crear"	0.0529457
"C.J Hunter"	0.0527302
"Wesley Clark"	0.0516411
"Boeing company"	0.0503818
Olano	0.0501414
Boardman	0.049869
Wilkinson	0.0495575
Sautin	0.0494913
"Chris McCarron"	0.0493642
"Michael Andretti"	0.0493447
"Koji Ito"	0.048845
LeBlanc	0.0488296
"Jim Thomas"	0.0484611
"postmaster general"	0.0479697
"Marie-Jose Perec"	0.0473748
Telekom	0.0459916
Musashimaru	0.0456883
Anand	0.0455437
"Jerry Bailey"	0.0454713
Ba	0.0454663
"Christine Arron"	0.0452619
"Jimmy Vasser"	0.0439051
"Frankie Fredericks"	0.0438067
"Rubens Barrichello"	0.0432243
co-captain	0.0431266
"Charles Austin"	0.0429668
"Alex Solis"	0.0427347
comprises	0.042695
"Gary Stevens"	0.0425141
"Colin Jackson"	0.0425043
"Dan O'Brien"	0.0423829
"Irina Privalova"	0.0423105
"Wang Yan"	0.0416219
Szabo	0.0413136
"Sonia O'Sullivan"	0.0411667
"Hilde Gerg"	0.0404789
"Michael Schumacher"	0.0403691
"Jearl Miles-Clark"	0.0403454
Coulthard	0.0402708
"Lockheed Martin Corp."	0.0401581
"Li Xuemei"	0.0401478
"Bruny Surin"	0.0401033
"Airtouch Communications"	0.0400013
))
("Bobby Kennedy" (desc 2015.39) (sims
"Robert Kennedy"	0.116017
"Robert F. Kennedy"	0.105819
RFK	0.0939294
"John Kennedy"	0.09198
"Caroline Kennedy"	0.0824806
Guerin	0.0819129
Hani	0.0752162
Rabin	0.0745384
"Patsy Ramsey"	0.0701756
"Dwight Eisenhower"	0.0679046
"Rajiv Gandhi"	0.0656107
egghead	0.0647424
"Hubert Humphrey"	0.0646857
Selznick	0.0646345
"Robin Yount"	0.0643808
Biko	0.0629488
"Malcolm X"	0.0622334
"Medgar Evers"	0.0613996
Slepian	0.0605878
"John F. Kennedy"	0.0576194
"Martin Luther King Jr."	0.0575821
Snead	0.0568288
Sadat	0.0564098
Jill	0.0560607
Starovoitova	0.0556103
JFK	0.0552094
"Mahatma Gandhi"	0.0551771
"Al D'Amato"	0.0538787
Moseley-Braun	0.0523916
Byrdsong	0.0522805
"Jacqueline Kennedy"	0.0522744
Postel	0.0515842
Arkan	0.0513748
scion	0.0512456
Faison	0.0511648
Shorty	0.0510664
FDR	0.0509854
"George McGovern"	0.050404
"Abraham Lincoln"	0.0499799
Bulatovic	0.0485384
Raznatovic	0.0484378
Archaeopteryx	0.0477259
Moxley	0.0474565
"Martin Luther King"	0.0473923
Levesque	0.0472819
Willy	0.0463663
Durwood	0.0463221
Gaither	0.0462839
tribesman	0.0458362
McDuff	0.045811
Halloran	0.0454061
Gandhi	0.0452573
Cobain	0.0451975
"J. Edgar Hoover"	0.0450918
Lennon	0.0448373
Aquino	0.0445015
Gormley	0.0442216
Hajdari	0.0439392
Wayne	0.043684
"Johnny Bench"	0.0436097
Harrigan	0.0436035
Bellush	0.0433745
"Trace Armstrong"	0.0432353
"Indira Gandhi"	0.0431444
Selena	0.042912
"Adlai Stevenson"	0.0427236
Puzo	0.0426237
Lugo	0.0424463
"JFK Jr."	0.0420228
Houdini	0.0418975
nonintervention	0.0418215
Blackmun	0.0417734
Burks	0.0417395
"Chuck Schumer"	0.0414317
Diane	0.0413757
"James Byrd"	0.0413264
"Yitzhak Rabin"	0.0411981
"Eddie Bauer"	0.0411909
Salazar	0.0411103
"John Lithgow"	0.0410313
Dahmer	0.0410111
Hurtado	0.0409392
McKinley	0.0409112
patsy	0.0409102
Arens	0.0406583
"John Lennon"	0.0405643
Eurythmics	0.0404068
Voinovich	0.0402918
Winchell	0.040207
Kennelly	0.0401241
"Andrew Jackson"	0.0400801
Thurmond	0.0400331
))
("Bobby Knight" (desc 1831.49) (sims
"Bob Knight"	0.162703
"John Wooden"	0.161512
"Dean Smith"	0.117434
"Roy Williams"	0.098966
"Paul Silas"	0.0960663
"Glenn Hoddle"	0.0943869
"Dick Vermeil"	0.0918878
"Mike Krzyzewski"	0.0900785
"Bora Milutinovic"	0.0895068
"John Robinson"	0.0885645
Cremins	0.0854273
"Jim Harrick"	0.0823016
"Joe Paterno"	0.0814241
"Walter Zenga"	0.081241
"Ken Hitchcock"	0.0808682
"P.J Carlesimo"	0.080378
"Scotty Bowman"	0.0795964
"Butch Carter"	0.0794108
"John Calipari"	0.0754813
"Lou Holtz"	0.0742983
"Mack Brown"	0.074066
"Dave Cowens"	0.0725535
"Lenny Wilkens"	0.0713433
"Dom Capers"	0.0705622
"Dave Wannstedt"	0.0703987
"Al Groh"	0.0683937
Harrick	0.066987
"Norv Turner"	0.065951
"Jim Calhoun"	0.0657534
Sampson	0.0654365
"Don Shula"	0.0648884
"Isiah Thomas"	0.0647891
"Red Auerbach"	0.0646627
"Tim Floyd"	0.0646021
"Paul Westphal"	0.0645226
"Dan Reeves"	0.0635446
"Dennis Erickson"	0.0635218
"Mike Dunleavy"	0.063076
"Chris Palmer"	0.0629112
Donnan	0.0626959
"Tom Osborne"	0.0622907
"Vince Lombardi"	0.0621509
"Rick Neuheisel"	0.062048
"Rudy Tomjanovich"	0.0602557
"TOM COUGHLIN"	0.0597329
"Kevin Keegan"	0.0593292
"Barry Switzer"	0.0589596
"Doc Rivers"	0.0583917
"Larry Brown"	0.0578954
Haskins	0.0572387
Lambright	0.0569386
"Jerry Sloan"	0.0568132
"Rick Pitino"	0.0566501
Spurrier	0.0562532
"Tommy Bowden"	0.055769
"Brian Billick"	0.0557441
Landry	0.0547532
"Pete Carroll"	0.0546127
"Pat Burns"	0.0545863
Solich	0.053871
"Larry Bird"	0.0531731
"Tony Dungy"	0.0527213
"Bobby Orr"	0.0523234
"Steve Mariucci"	0.0522995
"Clyde Drexler"	0.0520943
"Don Nelson"	0.0515213
"Ray Rhodes"	0.0510701
"Joe Gibbs"	0.050863
"Dave Campo"	0.0508317
"Jimmy Johnson"	0.0505902
"Dennis Green"	0.050136
Bucaram	0.0500655
"George Seifert"	0.0495348
"Mike Ditka"	0.0490509
"Indiana State"	0.048594
Guei	0.0484789
"Pat Riley"	0.0481507
"Willie Randolph"	0.047678
"Paul Johnson"	0.0473862
Milbury	0.0473354
"Steve Spurrier"	0.0472143
"Dick Jauron"	0.0472055
"Rich Brooks"	0.0469536
Felten	0.0467753
AUM	0.0467619
"George Karl"	0.0460817
"Bill Russell"	0.0460646
"practical joke"	0.0460376
"Bobby Bowden"	0.0458545
"Bear Bryant"	0.0455911
Ponciano	0.045557
"Chan Gailey"	0.0454181
Bowden	0.0453259
Sununu	0.0452848
"Bill Cowher"	0.0450775
"Don Zimmer"	0.0450282
Vermeil	0.044696
"Magic Johnson"	0.0446475
Aliotti	0.0444387
Butyrskaya	0.0442976
"Bela Karolyi"	0.0440104
"Parent Trap"	0.0438802
"Jeff Van Gundy"	0.0438013
Passarella	0.0438009
Schlessinger	0.0436412
"Truman Capote"	0.0430814
Schoenfeld	0.0429127
"Tom Landry"	0.0427206
"Mike Holmgren"	0.0426923
"Don Baylor"	0.0423052
"Billy Martin"	0.0422956
UAB	0.0422376
Marichal	0.042133
Esposito	0.0420268
"John Smith"	0.0419303
Gen-X	0.0418243
"John Havlicek"	0.041773
"Joe Dumars"	0.0417311
jacoby	0.0416946
Atwater	0.0416103
"Kevin McHale"	0.0414023
Cavallo	0.0412395
Spector	0.041237
Seanez	0.0410455
Gaither	0.0408997
"Bjorn Borg"	0.0407123
"Ruud Gullit"	0.0404614
"robbery suspect"	0.0402832
Zambrano	0.0402744
Calipari	0.040215
Arizmendi	0.0402147
"Patsy Ramsey"	0.0400707
))
("Bobby Labonte" (desc 9443.28) (sims
"Dale Jarrett"	0.405245
"Rusty Wallace"	0.385471
"Ward Burton"	0.372067
"Mark Martin"	0.370902
"Jeff Burton"	0.368993
"Mike Skinner"	0.334578
"Dale Earnhardt"	0.333569
"Jeff Gordon"	0.325249
"Ernie Irvan"	0.311551
"Terry Labonte"	0.308812
"Jeremy Mayfield"	0.306187
"Tony Stewart"	0.301746
"Ricky Rudd"	0.280174
"Bill Elliott"	0.273976
"Sterling Marlin"	0.263791
"Kenny Irwin"	0.257864
Labonte	0.250859
"Joe Nemechek"	0.240882
"John Andretti"	0.238981
"Kyle Petty"	0.238851
"Jimmy Spencer"	0.228349
"Ken Schrader"	0.214975
"Dale Earnhardt Jr."	0.214684
Jarrett	0.209337
"Johnny Benson"	0.201316
"Jerry Nadeau"	0.197025
Earnhardt	0.192153
"Steve Park"	0.190305
"Darrell Waltrip"	0.185741
"Matt Kenseth"	0.182519
"Kevin Lepage"	0.181119
Gordon	0.177475
Mayfield	0.15941
"Billy Boat"	0.156317
"Arie Luyendyk"	0.149725
"Geoffrey Bodine"	0.149481
"Greg Ray"	0.148376
"Bobby Hamilton"	0.147116
"Michael Waltrip"	0.145824
"Wally Dallenbach"	0.145208
Burton	0.144307
"Dick Trickle"	0.142668
"Ricky Craven"	0.140594
"Dario Franchitti"	0.13892
"Scott Pruett"	0.137773
Andretti	0.136906
"Ted Musgrave"	0.130361
"Kenny Wallace"	0.130186
"Elliott Sadler"	0.129166
Zanardi	0.12572
"David Coulthard"	0.125507
"Greg Moore"	0.123182
"Eddie Irvine"	0.120928
petty	0.117977
Skinner	0.11794
rudd	0.11787
"Juan Montoya"	0.11701
Franchitti	0.115978
"Robby Gordon"	0.114316
Coulthard	0.112266
"Scott Goodyear"	0.112054
"Buckshot Jones"	0.1111
martin	0.108448
"Michael Schumacher"	0.107349
Hakkinen	0.106459
"Michael Andretti"	0.105621
"Jimmy Vasser"	0.105047
"Adam Petty"	0.104459
Montoya	0.104208
"Alexandra Meissnitzer"	0.102778
"MIka Hakkinen"	0.100465
Irvan	0.100042
Schumacher	0.0996739
"Kenny Brack"	0.0995424
Schrader	0.0984248
"Colin McRae"	0.0981825
"Buddy Lazier"	0.0981736
"Todd Bodine"	0.0964069
Biffle	0.0955344
Wallace	0.0951624
Makinen	0.0949041
Sainz	0.0941851
"Isolde Kostner"	0.0941245
"Richard Petty"	0.0925208
"Scott Sharp"	0.0920554
"Tommi Makinen"	0.0918961
"Christian Fittipaldi"	0.0883604
"Eddie Cheever"	0.0878482
Ullrich	0.086992
"Jacques Villeneuve"	0.0867689
"Carlos Sainz"	0.0864859
Irwin	0.0862837
"Katja Seizinger"	0.0855418
"Hermann Maier"	0.0846416
Menifee	0.0841406
"Lasse Kjus"	0.0834397
Waltrip	0.0833925
"Damon Hill"	0.0803414
Vasser	0.0802542
Klim	0.0796103
Kjus	0.0789161
"Cat Thief"	0.078907
Tanui	0.0788502
"Earnhardt Jr."	0.0784674
"Thomas Stangassinger"	0.0778035
"Alex Zanardi"	0.0777335
"Heinz-Harald Frentzen"	0.0771289
Pantani	0.0769769
"Bjarne Riis"	0.0768958
Longo	0.0766453
"Bryan Herta"	0.0765985
Kenseth	0.0764507
"Guo Jingjing"	0.076191
Jalabert	0.0759518
Stewart	0.0748561
Brack	0.074623
"Adrian Fernandez"	0.0746079
Evernham	0.0741769
"Richard Burns"	0.0727793
"Didier Auriol"	0.0727008
"Paul Tracy"	0.0726238
"Sam Schmidt"	0.0725593
Maier	0.0722311
Herta	0.0716027
"Michael Doohan"	0.0708909
"Al Unser Jr."	0.0698541
Luyendyk	0.0697927
"Abraham Olano"	0.0692854
"High Yield"	0.0690195
"Juha Kankkunen"	0.0687505
Cipollini	0.068624
"Fernando Escartin"	0.0684458
"Martina Ertl"	0.0684199
Foyt	0.0682844
"Kjetil Andre Aamodt"	0.0679339
Villeneuve	0.0677942
"David Duval"	0.0672824
"Brian Watts"	0.0666557
"Victory Gallop"	0.0661227
"Miguel Indurain"	0.0660981
"Bobby Rahal"	0.0660044
"Marco Pantani"	0.0659745
"Max Papis"	0.0658659
Cheever	0.0656309
"Annika Sorenstam"	0.0656166
Daylami	0.0652614
Doohan	0.0652417
"Inger Miller"	0.0649867
"Michele Bartoli"	0.0649531
Meissnitzer	0.0647763
"Lance Armstrong"	0.0645168
Malek	0.0644561
"Phil Mickelson"	0.0643232
Devers	0.0639218
"Puerto Madero"	0.0630883
"Renate Goetschl"	0.0630527
"Red Bullet"	0.0629952
Aamodt	0.0624608
"Free House"	0.0611875
Zabel	0.0607164
"Pavel Tonkov"	0.0606178
"Pernilla Wiberg"	0.0604082
Behrens	0.0603509
"Tiger Woods"	0.0602532
"Lemon Drop Kid"	0.0600002
Julich	0.0597443
"Silver Charm"	0.0594698
Duval	0.059089
Chilukki	0.0585977
"Davis Love III"	0.0584718
"Chris Boardman"	0.0581551
"Ralf Schumacher"	0.0580929
Zuelle	0.0580233
"Yang Yang"	0.0579
Khannouchi	0.0577991
"Li Na"	0.0577123
Irvine	0.0576279
Lepage	0.0574413
"Maria Butyrskaya"	0.0574062
Seles	0.0572063
Fernandez	0.0571842
"Picabo Street"	0.0571659
"Alex Zuelle"	0.0571272
"Laurent Jalabert"	0.0570078
"Real Quiet"	0.0569946
"Francesco Casagrande"	0.0569342
"Answer Lively"	0.0568158
"Fusaichi Pegasus"	0.0567433
"Chicago Fire"	0.0565823
Pruett	0.0565629
"Desert Hero"	0.0565136
Ertl	0.0562394
Schmitt	0.0560217
"Banshee Breeze"	0.0559698
craven	0.0558232
Sprague	0.0556848
"Erik Zabel"	0.0556792
"Skip Away"	0.0555991
"Yu Zhuocheng"	0.0555261
O'Meara	0.0552605
))
("Bobby Newcombe" (desc 1160.23) (sims
"Todd Husak"	0.312705
"Ryan Kealy"	0.277778
"Mike Van Raaphorst"	0.249494
"Jarious Jackson"	0.233728
"Drew Bennett"	0.219457
"Marcus Outzen"	0.215693
"Doug Pederson"	0.215122
"Quincy Carter"	0.206362
"Chris Weinke"	0.196916
"Tee Martin"	0.191694
"Rob Johnson"	0.190523
"Major Applewhite"	0.187744
"Carson Palmer"	0.180399
"Charlie Batch"	0.169597
"Trent Green"	0.165288
"Tony Banks"	0.164406
"Doug Johnson"	0.163921
"Damon Huard"	0.160691
"Dave Brown"	0.153339
"Erik Kramer"	0.152641
"DeShaun Foster"	0.147995
"Gus Frerotte"	0.146969
"Jermaine Lewis"	0.145607
"Brad Johnson"	0.144323
"Marques Anderson"	0.143189
"Jim Harbaugh"	0.141267
"Kent Graham"	0.140278
"Drew Henson"	0.138486
"Jamal Lewis"	0.137248
"Jarvis Turner"	0.136615
"Rodney Peete"	0.135915
"Jeff Blake"	0.135724
"Cory Paus"	0.135709
"Ortege Jenkins"	0.134332
"Chris Chandler"	0.133919
"Warren Moon"	0.132732
"Trent Dilfer"	0.131561
"Chris Simms"	0.129419
"Danny Kanell"	0.128622
"Tony Graziani"	0.128151
"Glenn Foley"	0.127503
"John Fox"	0.12678
"Brian Griese"	0.126724
"Ryan McCann"	0.12658
"Brandon Granville"	0.126357
"Brock Huard"	0.125859
"Rich Gannon"	0.124429
"Yancey Thigpen"	0.124409
"Steve Beuerlein"	0.123336
"Drew Brees"	0.123313
"Ty Detmer"	0.123291
"Danny Wuerffel"	0.121138
"Bobby Hoying"	0.12096
"Mark Brunell"	0.118334
"Kerry Collins"	0.117886
"Michael Vick"	0.116508
"Jeff George"	0.116124
"Kevin Hartman"	0.114457
"Tom Brady"	0.113543
"Elvis Grbac"	0.113284
"Dez White"	0.111244
"Joe Hamilton"	0.110748
"Scott Zolak"	0.110626
"Scott Mitchell"	0.110205
"Jeff Trepagnier"	0.110195
"Jon Kitna"	0.109114
"Angelo Peruzzi"	0.107565
"Neil O'Donnell"	0.107183
"Everett McIver"	0.106503
"Van Raaphorst"	0.106455
"Sultan McCullough"	0.105113
"Ronnie Bradford"	0.104244
"Chris Osgood"	0.103859
"Steve Shields"	0.10341
Dawkins	0.10286
"Jack McDowell"	0.10206
"Jeff Garcia"	0.100999
"Brian Scalabrine"	0.0998881
"Kordell Stewart"	0.0998042
"Alan Henderson"	0.0997616
"Jake Plummer"	0.0997469
"Phil Simms"	0.0991266
"Troy Aikman"	0.0983871
"Dan Gadzuric"	0.0979331
"Walter Zenga"	0.0979254
"Jeff Hornacek"	0.0978874
"William White"	0.0969713
"Russ Ortiz"	0.0961876
"Sam Clancy"	0.095791
"Mark Gardner"	0.0955965
"Jason Sehorn"	0.0948524
"Randall Cunningham"	0.0944172
"Cade McNown"	0.0941996
"Roger Staubach"	0.0939976
"Gary Brown"	0.093801
"Chris Carpenter"	0.0934625
"split end"	0.0934461
"Gary DiSarcina"	0.0929058
"Vinny Testaverde"	0.0928207
"Steve McNair"	0.0925748
"Travis Hall"	0.092556
"Danny Farmer"	0.0924548
"Tony White"	0.0919067
"O.J Santiago"	0.0908046
"Dexter Coakley"	0.0906721
"JOHN FRIESZ"	0.0905001
"Charlie Garner"	0.0900953
"Stephane Fiset"	0.0897804
"Terry Allen"	0.0895579
"Jason Dickson"	0.0890905
"Michael Redd"	0.0885331
"Larry Allen"	0.0882353
"Brad Penny"	0.088209
"Freddie Mitchell"	0.0879945
"Shawn Estes"	0.0879341
"Terance Mathis"	0.0878293
"Michael Wiley"	0.0875429
Hollins	0.0872733
"Paul Abbott"	0.0871238
"Chad Pennington"	0.0867714
"Khalid El-Amin"	0.0865131
"Jeff Weaver"	0.0862571
"David LaFleur"	0.0860677
"David Palmer"	0.0859938
Dilfer	0.0859692
"Rico Hines"	0.0858025
"Ryan Leaf"	0.0856176
"Trevor Kidd"	0.0852691
"Jake Voskuhl"	0.0852232
"Tom Osborne"	0.085194
"Keith Smith"	0.0850184
"Rick Mirer"	0.0846652
"Mike Sirotka"	0.0846455
"Jason Garrett"	0.0837213
"Dedric Ward"	0.0833763
"Kent Mercker"	0.083146
"Steve DeBerg"	0.0831115
"Tim Dwight"	0.0824797
"BRIAN MEADOWS"	0.0824787
"Leon Johnson"	0.0823926
"Bubby Brister"	0.0817556
Weinke	0.081441
"Chad Morton"	0.0814243
"Shaun King"	0.08139
"Brian Moehler"	0.0810298
"Sedrick Shaw"	0.080808
Samuelsson	0.0807301
"Pete Harnisch"	0.0807239
"Paul Justin"	0.0805493
"Steve Young"	0.0804792
"Baron Davis"	0.080437
flanker	0.0802296
"Jim Parque"	0.0800585
"Karim Abdul-Jabbar"	0.0800196
"Andy Benes"	0.0797695
"Ryan Bailey"	0.0796707
"Tom Barrasso"	0.0794597
Elster	0.0791322
"Cindy Parlow"	0.0784865
"Pat Rapp"	0.0783053
"Kevin Smith"	0.0782614
"Kevin Elster"	0.0778504
"Jumaine Jones"	0.0777277
"Grant Marshall"	0.0775289
Lafleur	0.0772381
"Akili Smith"	0.0771712
"Omar Olivares"	0.0771147
"Ryan Roques"	0.0769136
"Ulf Kirsten"	0.0767303
Brunell	0.0766268
"Doug Flutie"	0.0766093
"Windrell Hayes"	0.0764853
"Billy Knight"	0.0762433
"Kevin Williams"	0.0760652
"Scott Karl"	0.0758193
"Earl Watson"	0.0757928
DiSarcina	0.0757591
Hakim	0.0755249
"Daunte Culpepper"	0.0751796
"Gil Meche"	0.0748362
"Flozell Adams"	0.0746836
"Jamey Wright"	0.0743911
"Boomer Esiason"	0.0741397
"Wayne Chrebet"	0.074068
"Robinson Checo"	0.0740299
"Gil Heredia"	0.0738785
Graziani	0.0738495
"R. Jay Soward"	0.0735762
"Greg Ellis"	0.0731278
"Michael Booker"	0.072878
"Mike Richter"	0.0727047
"Jim Harrick"	0.0726954
"Eric Zeier"	0.0726219
"Kevin Mathis"	0.072163
"Jamie Moyer"	0.0720401
"Dan Marino"	0.0716789
"Alex Gonzalez"	0.0715289
"Troy Brown"	0.0713954
Majerle	0.0709449
Metcalf	0.0709224
))
("Bobby Orr" (desc 2054.36) (sims
"Mario Lemieux"	0.194587
"Mark Messier"	0.151795
"Gordie Howe"	0.150427
"Julius Erving"	0.131091
"Wayne Gretzky"	0.128867
"Kevin McHale"	0.124342
"Fred Claire"	0.109052
"John Havlicek"	0.106521
"Isiah Thomas"	0.102914
"Magic Johnson"	0.100334
"Bob Cousy"	0.0987788
"Wilt Chamberlain"	0.097039
"Dave Cowens"	0.0968561
"Lenny Wilkens"	0.0941092
"Paul Coffey"	0.0892008
"Frank Robinson"	0.0870232
"Stan Musial"	0.0858553
"Kyle McLaren"	0.084213
"Niklas Sundstrom"	0.0834446
"Darren Van Impe"	0.0828214
"Larry Murphy"	0.0824352
"Jim Brown"	0.0815012
"Franz Beckenbauer"	0.0796294
"Kareem Abdul-Jabbar"	0.0795998
"Don Sweeney"	0.079326
"Joe Dumars"	0.0777051
Lemieux	0.0768177
"Willis Reed"	0.0761655
"Harry Sinden"	0.0757546
"Indiana State"	0.0753068
"Joe Thornton"	0.075036
"Diego Maradona"	0.0747711
"Ray Bourque"	0.0747292
"Ernie Banks"	0.0746209
"Mathieu Schneider"	0.0745693
"Bill Walton"	0.0745489
"Alberto Tomba"	0.0740244
"Joe Namath"	0.0723569
"Hal Gill"	0.0722364
"Bobby Charlton"	0.0720622
"Johan Cruyff"	0.0717846
"Pat Burns"	0.0702056
Pele	0.0701924
"Todd Harvey"	0.0695351
"Bryan Berard"	0.068671
"Martina Navratilova"	0.0686539
"Steve Duchesne"	0.0684668
"Ted Williams"	0.0679655
"Johnny Bench"	0.0673943
Kovalev	0.0673176
"Jason Allison"	0.0671115
Messier	0.0668555
"Walter Payton"	0.0665352
Maurice	0.0662178
"Scott Niedermayer"	0.0660869
"Al MacInnis"	0.0659963
"Bill Russell"	0.0659033
"Marty McSorley"	0.065817
"Fredrik Olausson"	0.0654142
Nedved	0.0652439
"Craig Ludwig"	0.0648056
"Jackie Robinson"	0.0637698
"John Wooden"	0.0632795
"Rob Blake"	0.0628327
"A.J Foyt"	0.0628269
Andreychuk	0.0627474
Reichel	0.062537
"Charles Barkley"	0.0621725
Laudrup	0.0621045
"Brett Hull"	0.0620453
"Dennis Johnson"	0.0617676
Gatling	0.0610128
"Ken Belanger"	0.0600306
"Babe Ruth"	0.0600104
"Bob Feller"	0.0594626
"Larry Bird"	0.0593799
"Mario Andretti"	0.0590439
Lafleur	0.0586684
"Vladimir Malakhov"	0.0586281
Duchesne	0.0585829
Primeau	0.0584942
Gustafsson	0.0584151
"Petr Nedved"	0.058301
Smolinski	0.0581362
"Brian Leetch"	0.0581139
team.	0.0580324
"Willie Mays"	0.0572411
"Andre Rison"	0.0569728
Vieri	0.056813
afterword	0.0565518
"Dominique Wilkins"	0.0563618
"Eric Cantona"	0.0557972
"Lyle Odelein"	0.0554985
"Sergei Zubov"	0.0553431
"Antoine Walker"	0.0551848
"Paul Silas"	0.0547972
"Roberto Clemente"	0.0545041
"Don Drysdale"	0.0543817
Kamensky	0.0542237
"Richard Petty"	0.0542123
"Jesse Owens"	0.0539739
"Derian Hatcher"	0.0539134
"Hristo Stoichkov"	0.0538868
"Mattias Norstrom"	0.0536282
"Richard Matvichuk"	0.053587
"Oleg Tverdovsky"	0.0535516
"Clyde Drexler"	0.0534892
"Darryl Sydor"	0.0531959
"Adam Graves"	0.0527986
"Rod Carew"	0.0524024
"Bobby Knight"	0.0523234
Rucchin	0.0522782
"Carl Lewis"	0.0522614
LaPointe	0.0522557
Recchi	0.0517235
"Ken Daneyko"	0.0513713
Audette	0.0513605
"Jyrki Lumme"	0.0511384
"Ruud Gullit"	0.0510809
"Whitey Ford"	0.0510721
"Davey Lopes"	0.0510312
Drury	0.0509214
"Shawn Chambers"	0.050912
Woolley	0.0508568
Asprilla	0.0506171
Robitaille	0.0505315
Lacroix	0.0505305
Orr	0.0504868
"Alexei Zhitnik"	0.050452
"Joe Montana"	0.0504055
"Alexei Yashin"	0.0502879
"Buster Douglas"	0.0501334
Barrie	0.0501152
"Dan Majerle"	0.0500475
Zico	0.0500119
"Tony Amonte"	0.0499901
"Billie Jean King"	0.0499734
"Jaromir Jagr"	0.0499618
Bourque	0.0497387
Heinze	0.0496044
"Mark Recchi"	0.0495435
"Reggie Miller"	0.0494481
Serna	0.0493805
"Jerry West"	0.0492291
"Hu Weidong"	0.0491744
"Pavel Bure"	0.0490363
"Susi Susanti"	0.0490193
"Michel Platini"	0.0489308
"Eddie Mathews"	0.0487712
"Rob Tallas"	0.0486008
"Chris Pronger"	0.0485112
"Heike Drechsler"	0.0481526
"John Elway"	0.0480578
Sautin	0.0480155
"Mickey Mantle"	0.0479962
Holik	0.0478597
"Ron Francis"	0.047766
"talent agent"	0.0476752
Waldner	0.0475453
"Bjorn Borg"	0.047458
"Joe DiMaggio"	0.0473783
"Garry Galley"	0.0473768
Polgar	0.0472821
"Paul Gascoigne"	0.0471613
"Kirk Muller"	0.04698
Denilson	0.0469256
Klinsmann	0.0468388
"Dave Manson"	0.0466789
"Sandis Ozolinsh"	0.046636
Tverdovsky	0.0464638
"Ian Wright"	0.0461002
"Sean O'Donnell"	0.0459906
netminder	0.0459855
"George Brett"	0.0459713
"Steve Rucchin"	0.0459472
"Earl Campbell"	0.0459163
"Ulf Samuelsson"	0.0458235
"Hank Aaron"	0.0457608
Bure	0.0457237
"Doug Bodger"	0.0456215
"Byron Dafoe"	0.0456107
"Carlos Santana"	0.0454636
"Rod Laver"	0.0454173
Tocchet	0.0454072
"Paul Kariya"	0.0451839
"Adam Oates"	0.0451539
"Gheorghe Hagi"	0.0451451
"Roger Staubach"	0.0451116
"Stan Collymore"	0.0451113
Howe	0.0450086
Damm	0.0448885
rebounders	0.0448057
Chamberlain	0.0448057
Gugliotta	0.0446285
Ilie	0.044595
Bergkamp	0.0445949
"John Anderson"	0.0445039
Dosedel	0.0444475
Wiatt	0.0444444
Roenick	0.0444349
))
("Bobby Phills" (desc 1671.24) (sims
"David Wesley"	0.256136
"Derrick Coleman"	0.213004
"B.J Armstrong"	0.185095
"Malik Sealy"	0.182442
"Anthony Mason"	0.161848
"Kim Perrot"	0.16138
"Hu Weidong"	0.159484
"Alan Henderson"	0.158128
"Reggie Lewis"	0.150718
"Eddie Jones"	0.150198
"Mookie Blaylock"	0.144605
"Michael Finley"	0.140558
"Juwan Howard"	0.136863
"Walt Williams"	0.131435
"Chris Carrawell"	0.129649
"Nick Anderson"	0.129031
"Rick Fox"	0.126982
"Tracy McGrady"	0.125182
"Jerome Kersey"	0.124804
"Doug Christie"	0.123664
"Ray Allen"	0.123294
"Gene Williams"	0.12227
"Bonzi Wells"	0.121243
"Brandon Granville"	0.12104
"CORIE BLOUNT"	0.120695
"Steve Smith"	0.119287
"Eric Snow"	0.118878
"Jalen Rose"	0.117849
"Michael Redd"	0.117233
"Jeff Trepagnier"	0.115397
"Richard Jefferson"	0.113971
"Sheryl Swoopes"	0.113653
"Lee Nailon"	0.113401
"Dale Ellis"	0.113088
"Kris Clack"	0.112633
"Brevin Knight"	0.112164
"Othella Harrington"	0.11183
"Shannon MacMillan"	0.111715
"Dennis Scott"	0.111362
"Rico Hines"	0.110467
"Clyde Drexler"	0.108374
"Ryan Bailey"	0.108302
"Nikki McCray"	0.107787
"Brad Miller"	0.10709
"Eric Piatkowski"	0.106242
"Kendall Gill"	0.10585
"Damon Stoudamire"	0.105698
"Mario Elie"	0.103865
"Mark Williams"	0.103732
"Darren McCarty"	0.10281
"George McCloud"	0.102381
"Ron Mercer"	0.101211
"Grant Hill"	0.101062
"Shandon Anderson"	0.101013
"Tariq Abdul-Wahad"	0.100581
"Bob Sura"	0.100426
"Derek Anderson"	0.100329
"Dan Majerle"	0.0999339
"Sherman Douglas"	0.099428
"Jamal Mashburn"	0.0994104
"Jaren Jackson"	0.0989507
"Penny Hardaway"	0.0982084
"Gabe Muoneke"	0.0981773
"Billy Knight"	0.0977057
"Morris Peterson"	0.0976538
"Jim Jackson"	0.0975993
"Jerry Stackhouse"	0.0972046
"Glen Rice"	0.0971778
"Brian Shaw"	0.0970546
"Austin Croshere"	0.0966458
"Michele Timms"	0.0959845
"Vlade Divac"	0.0953652
"Isaiah Rider"	0.0950323
"Ruben Patterson"	0.0950049
"Tim Hardaway"	0.0945199
"Greg Anthony"	0.0944487
"Darrick Martin"	0.0944058
"Mitch Richmond"	0.0930115
"Dikembe Mutombo"	0.0928509
"DeLisha Milton"	0.0925547
"Rodney Rogers"	0.0917222
"Derek Fisher"	0.0909545
"Tony Amonte"	0.0907004
"Elden Campbell"	0.0906464
"Shane Battier"	0.0900358
"Grant Long"	0.0894572
"Maurice Taylor"	0.0889554
"Ron Artest"	0.0888727
"Steve Kerr"	0.0884812
"Antonio Davis"	0.0883483
"Travis Best"	0.0881492
"Paul Pierce"	0.0880958
"John Stockton"	0.088058
"Corey Maggette"	0.0878025
"Paul Silas"	0.0873351
"Kevin Freeman"	0.0869103
"Nick Van Exel"	0.0868762
"Cynthia Cooper"	0.0866972
"Robert Horry"	0.0866421
"Jason Kidd"	0.0865459
"Stern John"	0.0864856
"Derek Harper"	0.0862701
"Christophe Dugarry"	0.0861431
"Kerry Kittles"	0.0856696
"Donyell Marshall"	0.0856106
"Mike Sullivan"	0.0856032
"Chris Anstey"	0.0855674
"Alexei Kovalev"	0.0854878
"Matt Santangelo"	0.0853761
"Dawn Staley"	0.0852463
"Sam Mack"	0.0847654
"Theo Ratliff"	0.0844988
"Tim Thomas"	0.0843674
"Brendan Shanahan"	0.0842183
"Terry Porter"	0.0842159
"Andreas Papandreou"	0.0841238
"Geoff Sanderson"	0.084001
"Tiffeny Milbrett"	0.0838609
"Shareef Abdur-Rahim"	0.0835184
"Adam Deadmarsh"	0.0834927
"Chris Webber"	0.0833963
"JaRon Rush"	0.0833726
"Jimmy Oliver"	0.0831423
"Derrick Thomas"	0.083134
"Rod Strickland"	0.0827163
"Brian Grant"	0.0826612
"Antawn Jamison"	0.0824108
Webdale	0.0823824
"Matt Maloney"	0.0820953
"Teresa Weatherspoon"	0.0813298
"Kenny Thomas"	0.0813003
Dudayev	0.0812977
"Darrell Armstrong"	0.0811593
"Isiah Thomas"	0.0810355
"Cedric Ceballos"	0.0809948
"Adrian Griffin"	0.0808131
"Voshon Lenard"	0.0807574
"Glenn Robinson"	0.0807143
"Kevin Garnett"	0.0804709
"Jason Terry"	0.0802293
"Ukari Figgs"	0.0800031
"Carlos Hermosillo"	0.0799926
"Cliff Ronning"	0.0799372
"Kobe Bryant"	0.0797402
"Tamika Catchings"	0.0797077
"Dale Davis"	0.0797068
"Sam Cassell"	0.0796298
"Adam Petty"	0.0795898
"Mark Tuinei"	0.0794071
"Mike Miller"	0.0793888
"Jeff Hornacek"	0.0792353
"Keith Van Horn"	0.0790706
"Richard Hamilton"	0.0789953
"Shawn Kemp"	0.0787509
"Samaki Walker"	0.0786386
"Michael Wright"	0.0784596
"David Robinson"	0.0784334
"Kurt Thomas"	0.0783606
"Ante Razov"	0.0783549
"Everett McIver"	0.078274
"Scot Pollard"	0.0781708
"Reggie Miller"	0.0781337
"Charles Barkley"	0.0781093
"Rex Chapman"	0.0779651
"John LeClair"	0.0778187
"Eddie House"	0.0777199
"Rashard Lewis"	0.0774529
"Francisco Franco"	0.0772198
"Antoine Walker"	0.0769602
"Lamond Murray"	0.0766862
"P.J Brown"	0.0765427
Phills	0.0764965
"Hidetoshi Nakata"	0.0764947
"Larry Hughes"	0.0763566
"Hersey Hawkins"	0.076173
"Hao Haidong"	0.0760975
"Tyrone Nesby"	0.0760044
"Gary Roberts"	0.0760037
"Cuttino Mobley"	0.0759494
"Brent Price"	0.0757261
"Ian Wright"	0.0755689
"Steve Nash"	0.0754246
"Kenny Irwin"	0.0752265
"Jason Williams"	0.07515
"Courtney Alexander"	0.0748861
"Bruce Bowen"	0.0747444
"Shao Yunhuan"	0.0747348
"Sean Elliott"	0.0746863
"Vince Carter"	0.0745614
"Hakeem Olajuwon"	0.0743608
"Predrag Mijatovic"	0.074351
"Rick Tocchet"	0.074345
"Chris Mullin"	0.0739036
"Joe Dumars"	0.0738917
"Allen Iverson"	0.0738894
"Matthew Eappen"	0.0734326
"Ron Brown"	0.073337
"Mateen Cleaves"	0.0731953
"Ron Harper"	0.0731902
"Anthony Johnson"	0.0731232
))
("Bobby Rahal" (desc 1967.25) (sims
"Al Unser Jr."	0.402147
"Alex Zanardi"	0.286474
"Eddie Cheever"	0.26387
"Juan Montoya"	0.250102
"Michael Andretti"	0.242988
"Kenny Brack"	0.234763
"Arie Luyendyk"	0.225928
"A.J Foyt"	0.215485
"Mario Andretti"	0.211909
"Christian Fittipaldi"	0.211606
"Paul Tracy"	0.210338
"Darrell Waltrip"	0.208332
"Jimmy Vasser"	0.202776
"Scott Pruett"	0.197684
"Adrian Fernandez"	0.189036
"Max Papis"	0.181556
"Robby Gordon"	0.15824
"Bryan Herta"	0.145455
"Dario Franchitti"	0.138621
"Alberto Tomba"	0.137339
Unser	0.129624
"Jacques Villeneuve"	0.12534
"Scott Goodyear"	0.124546
"Buddy Lazier"	0.122649
"Greg Moore"	0.120511
Zanardi	0.119402
"Ernie Irvan"	0.118906
"Miguel Indurain"	0.116556
"Elvis Stojko"	0.116257
"Bill Elliott"	0.116182
"Dale Earnhardt Jr."	0.115634
"Damon Hill"	0.113697
"Jeff King"	0.110922
"Billy Boat"	0.110363
"Greg Ray"	0.109031
"Deon Hemmings"	0.105988
"Fu Mingxia"	0.105954
"Paul Tergat"	0.105114
Rahal	0.105102
"Tony Stewart"	0.10471
"Doug Walker"	0.102969
"Maria Mutola"	0.0986089
"Jeff Gordon"	0.0982413
"Terry Labonte"	0.0975881
"Li Xuemei"	0.0961488
"Fatuma Roba"	0.094494
"Dale Earnhardt"	0.0944607
"Sam Schmidt"	0.0937221
"Scott Sharp"	0.0936902
"Moses Tanui"	0.0919247
"Matt Kenseth"	0.091793
"Max Biaggi"	0.0917828
"Deborah Compagnoni"	0.0913809
Sainz	0.0905757
Foyt	0.0899672
"Michael Schumacher"	0.0897722
"Dale Jarrett"	0.0895105
Musashimaru	0.089255
Franchitti	0.0876518
"June Jones"	0.0869797
"Derrick Adkins"	0.0867652
"Tommi Makinen"	0.0867098
"Todd Eldredge"	0.0860072
"Favorite Trick"	0.0859593
Herta	0.0855967
"Johnny Tapia"	0.0855048
Luyendyk	0.0854725
"Kostya Tszyu"	0.0851127
"HANK KUEHNE"	0.0840355
Vasser	0.0834501
"Wang Yifu"	0.0833636
Bruguera	0.0832407
kayaker	0.0829413
"Michael Weiss"	0.0827455
"Zoran Primorac"	0.0821372
"Ken Schrader"	0.0819289
"Ricky Rudd"	0.0813649
"MIka Hakkinen"	0.0813505
"Wally Dallenbach"	0.0807197
"Koji Ito"	0.0806378
"Irina Slutskaya"	0.0804138
"Juha Kankkunen"	0.0802702
"Michelle Smith"	0.080121
"Olin Browne"	0.0798865
"Dong Jiong"	0.0797264
"Buster Douglas"	0.0794287
"Colin McRae"	0.0792248
"Christine Arron"	0.079217
"Nick Faldo"	0.079156
"Carlos Sainz"	0.0789574
"Kenny Irwin"	0.0784397
"Lee Hamilton"	0.0781636
"Mark Martin"	0.0780762
"Jackie Joyner-Kersee"	0.0780695
"Todd Bodine"	0.0769912
"Kieren Perkins"	0.0768195
"Didier Auriol"	0.076335
"Roy Jones Jr."	0.0760518
"Paulie Ayala"	0.0758598
"Marco Pantani"	0.0748094
"Arantxa Sanchez-Vicario"	0.0747664
"Bora Milutinovic"	0.0747219
"Michael Doohan"	0.0745159
"Jeff Burton"	0.0742743
"Jeremy Mayfield"	0.0739811
"Chris Boardman"	0.0738751
"Earnhardt Jr."	0.0738318
"Gary Player"	0.073756
"Samantha Riley"	0.0734859
"Laurent Brochard"	0.0734396
Waltrip	0.0734203
"Le Jingyi"	0.0734083
"Eric Cantona"	0.0732231
"Martina Navratilova"	0.0732046
"Bernhard Langer"	0.072994
"Laurent Jalabert"	0.0729659
"Maria Butyrskaya"	0.0729185
Kilborn	0.0728972
"Boris Becker"	0.0727609
"Abraham Olano"	0.0724717
"Mike Skinner"	0.0722121
Takanonami	0.0721734
"Pro Bowler"	0.0721691
"John McEnroe"	0.0721085
Anees	0.0717765
"Michael Stich"	0.0715405
"Kong Linghui"	0.0714884
"Chen Lu"	0.0710618
"Sergi Bruguera"	0.070906
"Thomas Stangassinger"	0.0706702
"Monica Seles"	0.0705752
"Dan O'Brien"	0.0705213
"Li Jiajun"	0.0701483
Kipketer	0.0699925
"Daniel Komen"	0.0699552
"Shanghai Shenhua"	0.0699542
"Michael Chang"	0.0699276
"Jim Harrick"	0.0695969
"Johnny Benson"	0.0695041
"Ruud Gullit"	0.069208
"Katja Seizinger"	0.069194
"Banshee Breeze"	0.0691893
Hornaday	0.0691279
"Rusty Wallace"	0.0691205
"Johan Museeuw"	0.0689306
"Ernie Els"	0.0689253
"Steve Backley"	0.0684175
"Michelle Kwan"	0.0682264
"Wang Nan"	0.0681918
"Isolde Kostner"	0.0680123
"Hale Irwin"	0.0678504
"Dale Bumpers"	0.0677563
"Susie O'Neill"	0.0673533
"Bob Bullock"	0.0673203
"Bjorn Borg"	0.0667485
"Richard Petty"	0.0667297
"Vanessa Atler"	0.0667048
"Jonathan Edwards"	0.0666622
"Buckshot Jones"	0.066622
"Sergei Bubka"	0.0665137
"Svetlana Khorkina"	0.0664387
"Houston Comets"	0.0663117
"Svetlana Masterkova"	0.0661071
Longo	0.0660673
"C.J Hunter"	0.0660633
"Bobby Labonte"	0.0660044
"Stefan Edberg"	0.0659961
"Andres Gomez"	0.0659564
"Pernilla Wiberg"	0.0658181
"Kevin Elster"	0.0658003
"Richard Krajicek"	0.0654189
"Isiah Thomas"	0.0652894
"Jansher Khan"	0.065269
"David Reid"	0.0651971
"President Lee Teng-hui"	0.0651401
"Ralf Schumacher"	0.0651348
"Gail Devers"	0.0650852
stuntman	0.0650172
"Jana Novotna"	0.0648394
"John Vanbiesbrouck"	0.0646764
"Linford Christie"	0.0646418
"Seattle Slew"	0.0645824
"Thomas Muster"	0.0645557
"Arantxa Sanchez Vicario"	0.0644387
Okada	0.064275
Villeneuve	0.0642098
"Steffi Graf"	0.0640844
"Ye Zhaoying"	0.0636257
"Winning Colors"	0.0634978
"Javier Sotomayor"	0.0633645
Klim	0.0632019
"Ty Detmer"	0.0631564
"Donovan Bailey"	0.0629857
"Liu Guoliang"	0.0628949
"Michael Johnson"	0.0628665
"Frank Nobilo"	0.0627552
"Joe Nemechek"	0.0627399
"Oliver McCall"	0.0627102
"Liu Limin"	0.0626778
"Juli Inkster"	0.0624729
))
("Bobby Smith" (desc 1544.64) (sims
"Herbert Perry"	0.251969
"Russ Johnson"	0.198792
"Pat Burrell"	0.188207
"Warren Morris"	0.187146
"Lou Merloni"	0.184274
"Willie Greene"	0.183805
"Craig Paquette"	0.182281
"Tony Fernandez"	0.180955
"Miguel Cairo"	0.176779
"Matt Franco"	0.175488
"Joe Randa"	0.1746
"Enrique Wilson"	0.172598
"Carlos Febles"	0.171846
"Charlie Hayes"	0.171269
"Bill Mueller"	0.171226
"Tony Batista"	0.171078
"Luis Alicea"	0.16825
"Carlos Guillen"	0.166792
"Damian Jackson"	0.166038
"Jeff Cirillo"	0.165852
"Scott Rolen"	0.164811
"Mickey Morandini"	0.164788
"Shane Andrews"	0.164244
"Mike Lansing"	0.161211
"Clay Bellinger"	0.160299
"Ron Coomer"	0.158769
"Eric Chavez"	0.157749
"Sean Berry"	0.156806
"Ed Sprague"	0.15572
"Ray Durham"	0.155652
"Dave Hollins"	0.154384
"Mike Lowell"	0.15381
"Phil Nevin"	0.153202
"Wilton Veras"	0.152905
"Luis Sojo"	0.152841
"Dean Palmer"	0.151236
"Erubiel Durazo"	0.151125
"Kevin Orie"	0.151115
"Lenny Harris"	0.14756
"Quinton McCracken"	0.146855
"Corey Koskie"	0.146819
"Jose Hernandez"	0.146336
"Pokey Reese"	0.146237
"Luis Lopez"	0.146132
"Craig Counsell"	0.145591
"Bill Spiers"	0.14547
"Kevin Jordan"	0.145338
"Scott Spiezio"	0.145324
"Manny Alexander"	0.143635
"Aaron Boone"	0.141959
"Jeff Huson"	0.141577
"Mike Lamb"	0.141141
"Wilton Guerrero"	0.140554
"David Bell"	0.140102
"Todd Walker"	0.139604
"Fernando Vina"	0.1391
"Jose Guillen"	0.138034
"Luis Castillo"	0.133949
"Delino DeShields"	0.133493
"Vinny Castilla"	0.133401
"Troy Glaus"	0.132827
"Jose Vidro"	0.132008
"Travis Fryman"	0.131467
"Wade Boggs"	0.130789
"Derrek Lee"	0.130477
"Dave Hansen"	0.130367
"Paul Konerko"	0.130196
"Adam Kennedy"	0.129078
"Juan Castro"	0.128755
"Dave Martinez"	0.12865
"Jeff Conine"	0.127995
"Russ Davis"	0.127944
"Frank Catalanotto"	0.126643
"Jose Canseco"	0.126518
"Richie Sexson"	0.125735
"Damion Easley"	0.124892
"Brian Cashman"	0.124803
Veras	0.123252
"Pat Meares"	0.122724
"Ozzie Guillen"	0.1226
"John Jaha"	0.122141
"Bobby Higginson"	0.121757
"Gary Gaetti"	0.121586
"Tim Bogar"	0.121516
"Daryle Ward"	0.120243
"Cristian Guzman"	0.120117
"Edgardo Alfonzo"	0.120006
"Matt Williams"	0.117899
"Fernando Tatis"	0.11786
"Carlos Baerga"	0.117001
"Randy Velarde"	0.116815
"Melvin Mora"	0.116266
Trammell	0.115919
Randa	0.115545
"Bubba Trammell"	0.114749
"Todd Zeile"	0.114424
"Cal Ripken"	0.114413
"Mark Loretta"	0.114257
Sexson	0.113877
"Ken Caminiti"	0.113777
"Mark Kotsay"	0.113633
"Joe McEwing"	0.113546
Castilla	0.113306
"Doug Glanville"	0.113253
"Jeff Frye"	0.112725
"John Mabry"	0.112559
"Fred McGriff"	0.112301
"Scott Brosius"	0.112286
"Brad Fullmer"	0.111756
"John Valentin"	0.110781
"Keith Lockhart"	0.110672
"Ricky Gutierrez"	0.109779
"Mike Bordick"	0.109485
"Kevin Young"	0.109143
"Geoff Jenkins"	0.10792
"Jose Vizcaino"	0.10749
"Jason Giambi"	0.107
Lankford	0.106483
"Carlos Beltran"	0.106287
"Andy Sheets"	0.105923
"Tony Clark"	0.105844
"Kurt Abbott"	0.105347
"Robin Ventura"	0.1046
"CARLOS HERNANDEZ"	0.10441
"Cal Ripken Jr."	0.104101
"Jeff Kent"	0.102558
"Tony Graffanino"	0.10163
"Alex Cora"	0.100426
"Henry Rodriguez"	0.100046
"Eric Owens"	0.0996294
"Will Clark"	0.0996275
"Jose Valentin"	0.0995655
"Ray Lankford"	0.0988809
Higginson	0.0983684
"Chuck Knoblauch"	0.0979131
"Preston Wilson"	0.0976174
"Rico Brogna"	0.0975908
"Donnie Sadler"	0.09714
"Quilvio Veras"	0.0969419
"Mike Benjamin"	0.096893
"Adrian Beltre"	0.0967745
"Deivi Cruz"	0.0961703
"Jose Offerman"	0.0954998
"Mark McLemore"	0.0953711
"Kevin Stocker"	0.0952471
"Tino Martinez"	0.0952419
Vidro	0.0950463
"Craig Biggio"	0.0946845
Abreu	0.0945828
"Sean Casey"	0.0944407
"Rick White"	0.0937642
Renteria	0.0936362
Dellucci	0.0932464
Glaus	0.0931711
"Wally Joyner"	0.0929003
"Joey Cora"	0.0927983
"Mike Sweeney"	0.0924969
"Marvin Benard"	0.0922855
Nevin	0.0922559
"Bret Boone"	0.092186
"Tyler Houston"	0.0921605
"Jeff Bagwell"	0.0918593
"Bobby Bonilla"	0.0918271
"Tony Womack"	0.0914774
Mabry	0.0912196
"Walt Weiss"	0.0908227
"Karim Garcia"	0.0907283
"Frank Thomas"	0.0906725
McGriff	0.0905612
Velarde	0.0903549
"Tony Phillips"	0.0902453
"Johnny Damon"	0.0900895
"Cecil Fielder"	0.0898575
"Eric Young"	0.0898414
"Fred Claire"	0.0896119
"Todd Helton"	0.0895205
Ausmus	0.089518
"Homer Bush"	0.0892465
"Matt Stairs"	0.0891059
"Damian Miller"	0.0889346
"Edgar Renteria"	0.0885137
Giambi	0.088243
"Jim Thome"	0.0881601
"Travis Lee"	0.0880017
"Raul Ibanez"	0.0877604
"Kevin Elster"	0.0876141
"Michael Tucker"	0.0875371
"Brant Brown"	0.0870061
"Todd Greene"	0.0867812
"Lee Stevens"	0.0867343
Merloni	0.0866027
"Gregg Jefferies"	0.0865825
"Benji Gil"	0.0858325
"Chipper Jones"	0.0857228
"F.P Santangelo"	0.08571
"Ryan Klesko"	0.0856655
"Ron Gant"	0.0855304
"Ben Grieve"	0.0855002
"Butch Huskey"	0.0854039
"Jeremy Giambi"	0.085398
))
("Bobby Valentine" (desc 3493.04) (sims
"Don Zimmer"	0.181797
"Terry Collins"	0.180492
"Tom Kelly"	0.178622
"Jim Leyland"	0.177284
"Davey Johnson"	0.175574
"Jimy Williams"	0.174342
"Tony La Russa"	0.171506
"Johnny Oates"	0.151427
"Buck Showalter"	0.1513
"Lou Piniella"	0.140934
"Don Baylor"	0.140575
"Bruce Teitelbaum"	0.136367
"Mike Hargrove"	0.134874
"Dusty Baker"	0.132397
"Bobby Cox"	0.130122
"Shelly Finkel"	0.127075
"Felipe Alou"	0.122249
"Joe Torre"	0.121359
"Mike Scioscia"	0.117166
"Glenn Hoffman"	0.113112
"Tommy Lasorda"	0.112214
"Tim Johnson"	0.105017
"Billy Martin"	0.0977773
"Larry Dierker"	0.0820582
"Davey Lopes"	0.0778657
"Tom Lasorda"	0.077001
"Tony Coelho"	0.0746253
"Alex Ferguson"	0.0712496
"Don Nelson"	0.0689244
Jimy	0.0669552
McKeon	0.0634886
"Glenn Hoddle"	0.0632425
Leuchter	0.0630799
"Kevin Keegan"	0.0627819
Zimmer	0.0625577
Hargrove	0.062007
"Karl Rove"	0.0616955
"Harry Sinden"	0.0613996
Piniella	0.0601889
Bavasi	0.060124
"La Russa"	0.0600992
"Asa Hutchinson"	0.0591208
Dierker	0.058821
"Bill Russell"	0.0586503
Ponciano	0.0581498
valentine	0.0580092
Oates	0.0578635
"Ruud Gullit"	0.0557626
Robson	0.0550843
Zambrano	0.0546606
Lambright	0.0543953
"market watcher"	0.0542438
Warshaw	0.0542317
Kerasiotes	0.0540579
"Lee Atwater"	0.0537218
Torre	0.0534285
Bonner	0.0526653
Ftorek	0.0524412
Cashman	0.0520567
Calipari	0.051009
Leyland	0.0509701
Alcorn	0.0508955
"Mike Murphy"	0.0506961
Fassel	0.050536
Showalter	0.0505279
Cox	0.0494693
Singson	0.0491584
Sherrill	0.0490693
Scioscia	0.0489078
Rollins	0.0488994
Gailey	0.048686
Shoate	0.0486437
beamer	0.0485751
Lasorda	0.0483731
Ballmer	0.0478071
Passarella	0.0477608
Alou	0.0476393
"Rickey Henderson"	0.0475972
"Jim Thomas"	0.0473564
Fiorina	0.0473167
Scot	0.0473112
Darnell	0.0472067
Gangelhoff	0.0470623
"Peter Lynch"	0.046954
"Cindy McCain"	0.0469404
"Igor Sergeyev"	0.0468351
"Peter Mandelson"	0.0466519
Antley	0.0461877
"Ed Bryant"	0.0455059
Wilkerson	0.0452225
Fulmer	0.0451738
Westphal	0.0450745
jacoby	0.0449207
"George Soros"	0.0444895
"pitching coach"	0.0442764
"Dan Duquette"	0.0440652
"Pat Burns"	0.0440283
Esposito	0.0438936
Mariucci	0.0437127
Hornaday	0.0436844
Hartsburg	0.0436773
Gillick	0.043647
Baum	0.0436418
Byrdsong	0.0435105
Ferguson	0.0434584
Landry	0.0433873
Sweeting	0.0433695
Kornberg	0.0433166
"Jerry Colangelo"	0.0433155
"Joan Rivers"	0.0432891
"Chuck Knoblauch"	0.0432821
Gregg	0.0432509
Howe	0.043207
Schottenheimer	0.0431954
Soares	0.0429937
Esrey	0.0427226
Dunlap	0.0426448
Davey	0.0423978
Farrell	0.0423663
Grimsley	0.0423289
"Gianluca Vialli"	0.0423129
Szczerbiak	0.0422133
Keenan	0.0421014
"Patsy Ramsey"	0.0420771
"Chan Gailey"	0.041994
Ruehe	0.0419811
Anand	0.0419482
"David Smith"	0.0419377
McGreevey	0.0419197
Manuel	0.0416894
Erving	0.0416742
Lavin	0.041658
Rongen	0.0416232
Brazill	0.0416189
MacKay	0.0416181
Baugh	0.0416031
Tomlinson	0.0415871
Grier	0.0415501
"David Graham"	0.0414902
"Karen Hughes"	0.0414639
Ruelas	0.0414637
Samuelson	0.0414489
Golota	0.0414426
Solis	0.0414152
Moonves	0.0414104
Graziano	0.0413349
Holtz	0.0413234
Klim	0.0411755
Tevanian	0.0411444
"Bora Milutinovic"	0.0410087
Wasdin	0.040885
Havelange	0.040821
Brunner	0.0407742
Campo	0.040749
McCurry	0.0406886
"math teacher"	0.0406183
Reimer	0.0406082
"Lenny Harris"	0.0404734
Tucci	0.0404728
Ackerman	0.0403773
"Bob Kraft"	0.0403663
"Bob Costas"	0.040358
Evan	0.0402368
Dumas	0.0402321
Krzyzewski	0.0402249
Ivester	0.0402129
"Pete Carroll"	0.0402014
Ayala	0.0401774
Schmid	0.0401549
Koehler	0.0400351
))
(bobcat (desc 3080.29) (sims
"mountain lion"	0.163977
cougar	0.139742
Boilermakers	0.128142
Hawkeyes	0.127175
raccoon	0.123907
beaver	0.120329
chipmunk	0.12006
owl	0.115381
"grizzly bear"	0.115127
"black bear"	0.109429
Illini	0.109098
skunk	0.107735
porcupine	0.107705
otter	0.106871
Wolfpack	0.104031
deer	0.101682
"Scarlet Knights"	0.0952792
gopher	0.0898659
Rattler	0.0889041
"bighorn sheep"	0.0882005
"brown bear"	0.088142
coyote	0.0875729
Sooners	0.0857906
"Tar Heels"	0.0848933
NAU	0.0847803
badger	0.0845567
"Fighting Irish"	0.0819824
mink	0.0816569
lynx	0.0815831
Razorback	0.081493
bearcat	0.0806215
panther	0.0797398
Buffaloes	0.0788259
Wolverine	0.0784728
"bald eagle"	0.0784167
moose	0.0766114
"Appalachian State"	0.0760342
"harbor seal"	0.0757366
Minutemen	0.0750575
terrapin	0.0749002
"golden eagle"	0.0743806
"Montana State"	0.0740511
"Phenix City"	0.0740282
bulldog	0.0739043
Lobos	0.0732465
RedHawks	0.072968
"wild boar"	0.0727087
lion	0.0722353
Jayhawks	0.0720458
Starzz	0.0711931
wolf	0.0710396
Longhorn	0.0706808
matador	0.0699637
"Partizan Belgrade"	0.0698731
"Oregon State"	0.0697754
"Red Raiders"	0.0696456
gamecock	0.0694995
Seminoles	0.069348
"Crimson Tide"	0.0693259
grizzly	0.0693144
"road runner"	0.0684254
"Brian Moehler"	0.0676434
rabbit	0.0675271
squirrel	0.0668713
Hofstra	0.0665537
"Southwest Missouri State"	0.0661629
BUCCANEER	0.0655595
hare	0.0653914
BEARS	0.065317
rattlesnake	0.0651593
Villanova	0.065148
Macaque	0.0649646
Raven	0.0648333
lumberjack	0.064731
Utes	0.0646529
"Saint Louis"	0.0641874
Eagles	0.0639491
buckeye	0.0638432
"Eastern Washington"	0.0638253
leopard	0.0635065
elk	0.0625762
Samford	0.0623661
wildcat	0.0623387
Evansville	0.0620454
"Red Storm"	0.0619868
hedgehog	0.0616893
Fordham	0.061685
Huskers	0.0615757
"prairie dog"	0.0614446
"Marcelo Filippini"	0.0611061
UMass	0.0610798
"Keith Tkachuk"	0.0608923
Berasategui	0.0608333
lizard	0.0608231
Cornhusker	0.0604541
"blue devil"	0.0602565
Spartan	0.0599381
Springbok	0.0599295
"Arkansas State"	0.0595741
alligator	0.0594867
Vols	0.0594048
"Hernan Gumy"	0.0593684
caribou	0.0591046
"Tatiana Panova"	0.0589013
Lehigh	0.0587407
UAB	0.0587329
Hoosier	0.058686
OSU	0.0584093
"Francisco Clavet"	0.0579542
"American Chanda Rubin"	0.0577026
Gators	0.0575536
Aggies	0.0575429
possum	0.0571666
husky	0.0570053
Pepperdine	0.0569242
Jaguar	0.0565873
"Golden Hurricane"	0.0565216
"South African Amanda Coetzer"	0.0564573
Redskin	0.0561043
Gator	0.0558693
CSUN	0.0557195
Trojan	0.0553633
"Poul-Erik Hoyer-Larsen"	0.0552631
Marquette	0.0547158
Aamodt	0.0545442
Hoya	0.0545133
cavalier	0.0542755
Supersonics	0.0540866
Hongyuan	0.0540784
"San Jose State"	0.0539764
Rutgers	0.0536408
BYU	0.0535608
Hokies	0.0534886
Hornet	0.0532875
"Woody Williams"	0.053066
"Guangdong Hongyuan"	0.052668
"Scott Erickson"	0.0525674
gaucho	0.0525036
mole	0.0524721
Stephenville	0.0524567
"Nittany Lions"	0.0523803
"yellow jacket"	0.0523176
Aoshen	0.0523143
Seahawks	0.0521882
"Virginia Tech"	0.0518147
steelhead	0.0517014
osprey	0.051579
"Old Dominion"	0.051563
"N.C. State"	0.0515607
niner	0.0515495
"North Carolina State"	0.0514679
Hentgen	0.0514459
"Pedro Astacio"	0.051333
Av	0.0511842
"Sarah Pitkowski"	0.0511527
"Northern Arizona"	0.0510621
"Jacksonville Jaguars"	0.0510129
"Georgia Southern"	0.0506326
"killer whale"	0.0505825
"Miami Fusion"	0.0502694
"Chen Gang"	0.0501633
PAOK	0.0500959
"Iowa State"	0.0500414
Xavier	0.0498047
"Utah State"	0.0498012
"Gianluca Pozzi"	0.0494305
Gonzaga	0.0493719
Olympiakos	0.0492794
"Tara Snyder"	0.049016
Pegasus	0.0489888
"peregrine falcon"	0.0489461
Golota	0.0489091
Steelers	0.0488921
packer	0.0488107
"Jackson State"	0.0488009
"Horned Frogs"	0.048755
"Holy Cross"	0.0487127
"Trail Blazers"	0.0486015
Bengals	0.0482836
"break of serve"	0.0481953
"Franco Squillari"	0.0480822
"Karim Alami"	0.0480365
"San Jose Sharks"	0.047994
"Southern Cal"	0.0478741
"Sichuan Quanxing"	0.0477689
Cavs	0.0476995
"Mike Sirotka"	0.047643
"Texas Tech"	0.0475978
Tulane	0.0475562
"Mississippi State"	0.0475469
Purdue	0.0474888
"Jinan Taishan"	0.0474753
"Anaheim Mighty Ducks"	0.047473
DePaul	0.0474071
Bucs	0.0472119
hyena	0.0471516
"Arnaud Boetsch"	0.047135
"Arizona State"	0.0471043
"Van Roost"	0.0470948
charger	0.0470904
))
(Bobo (desc 989.548) (sims
anything-goes	0.107271
take-no-prisoners	0.0793716
secularist	0.0600499
Aggie	0.0563851
Aloha	0.0555885
"American Jewish"	0.0550248
"laissez faire"	0.0539878
escapist	0.0534107
"Irish Catholic"	0.0531203
Italian-American	0.0522785
"Orthodox Jewish"	0.0522698
Percy	0.0511246
choirboy	0.0509141
Hawthorn	0.0506043
poking	0.0505135
jeepney	0.0502066
Amazonian	0.050133
O'Neill's	0.0495388
gangsta	0.0488503
geezer	0.0488442
Lindner	0.0480828
Bengali	0.0470639
collaborative	0.0460937
Japanese-American	0.0443863
Burgess	0.0436833
Venables	0.0436259
Gen	0.0434863
"Don Henley"	0.0428209
nouveau	0.0428175
"South Asian"	0.0427108
FloJo	0.0425825
Luddite	0.0425806
Mei	0.042331
"second class"	0.0421741
"Kosovar Albanian"	0.0420217
shag	0.0415363
Polynesian	0.0415068
showbiz	0.0413576
Irish-American	0.0413144
IAI	0.0412861
yuletide	0.0406851
gook	0.0405891
Gosper	0.0405809
"Ruben Blades"	0.0404961
JONAS	0.040161
))
(bobsled (desc 2893.18) (sims
luge	0.206125
"ski jump"	0.178949
biathlon	0.160373
snowboard	0.146238
"cross country"	0.141122
epee	0.130911
"ski jumping"	0.12688
"Busch Grand National"	0.119968
Yachting	0.11822
Super-G	0.115038
halfpipe	0.11103
"World Championship"	0.107137
Skating	0.107119
triathlon	0.105808
"hammer throw"	0.104923
taekwondo	0.103934
pentathlon	0.101459
"Busch Series"	0.0987812
"figure skating"	0.0977348
"ice hockey"	0.0967626
archery	0.0957982
slalom	0.0940628
superspeedway	0.0936617
"Winston Cup"	0.0934868
"Indy Racing League"	0.0931044
"field hockey"	0.0924511
dressage	0.0912219
"middle distance"	0.0908288
bodybuilding	0.0902367
"NASCAR Winston Cup"	0.0895275
judo	0.0884018
skiing	0.0875743
"Grand National"	0.0872507
skeet	0.0864461
Gymnastics	0.0861144
scull	0.0857295
"track and field"	0.0840254
softball	0.0837222
"Championship Auto Racing Teams"	0.0837053
IRL	0.0836492
volleyball	0.0832317
rowing	0.081521
"table tennis"	0.0810163
"water polo"	0.0802279
Busch	0.0791849
sled	0.0782616
NHRA	0.0779128
Heptathlon	0.0777005
"Funny Car"	0.0773342
"stock car"	0.0767269
"quarter horse"	0.0766635
powerboat	0.0766066
netball	0.0765321
kayak	0.0764025
"sled dog"	0.0754288
cycling	0.0752854
"mountain bike"	0.0745356
weightlifting	0.0737303
"National League West"	0.0722251
"Top Fuel"	0.0720159
snooker	0.0720141
"Pan Ams"	0.0717365
"Golden League"	0.0716325
"ice skating"	0.0712637
"high jump"	0.0703089
javelin	0.0701301
aerial	0.0699085
Ironman	0.0698254
steeplechase	0.0691305
"pole vault"	0.0690001
badminton	0.0683745
one-mile	0.067774
"SEC East"	0.0674707
freestyle	0.0673762
forklift	0.066963
"Pan Am Games"	0.0668742
under-@@	0.0667318
glider	0.066681
"bird of prey"	0.0662005
"Le Mans"	0.0656605
Syrian-Israeli	0.0656443
"cable car"	0.0654398
"Uber Cup"	0.0644727
three-mile	0.0640971
backstroke	0.0637625
wrestling	0.063537
"Skate America"	0.0634196
"horizontal bar"	0.0630161
Cliburn	0.0625266
Wushu	0.0616988
"relay race"	0.0615337
"first cup"	0.061075
"ski race"	0.0609096
five-week	0.0607653
"won seven"	0.0606782
curling	0.0602425
fencing	0.059979
Bowling	0.0586909
Stagecoach	0.0586838
"dirt track"	0.0586345
diving	0.058631
decathlon	0.0585366
"won one"	0.0584754
"won nine"	0.0584318
Israeli-Syrian	0.0583375
"long jump"	0.0575467
outrigger	0.0573993
handball	0.0573479
yo-yo	0.057162
three-week	0.0568592
lacrosse	0.0568516
"skating rink"	0.0567453
varsity	0.0567397
NASCAR	0.0566964
Suzuka	0.0559981
"Sudirman Cup"	0.0559621
"stroke play"	0.0557829
"National Invitation Tournament"	0.055696
"AFC West"	0.0556029
Iditarod	0.0554284
three-meter	0.0553681
"won four"	0.0552071
"American League West"	0.0549048
dinghy	0.0542045
breaststroke	0.0538604
GP	0.053277
"Gold Cup"	0.0530264
"European Tour"	0.0528654
"AFC Central"	0.0526544
"ballroom dancing"	0.0526183
"shot put"	0.0525766
Capel	0.0523395
"Federation Cup"	0.0523016
"Fed Cup"	0.0522881
"Central Division"	0.0522508
"won six"	0.0520577
F-@	0.0519851
"won three"	0.0519009
Rugby	0.0517077
"Atlantic Coast Conference"	0.0515023
Tram	0.0511153
top-class	0.050973
"AFC East"	0.0508159
"swimming event"	0.0506382
"Nations Cup"	0.0506351
"Dale Jr."	0.0506053
two-mile	0.0503761
"match play"	0.0500511
"Grand Prix"	0.0499659
F@	0.0498019
"NFC East"	0.0497788
"public speaking"	0.0497169
"professional basketball"	0.049673
takraw	0.0495749
EuroLeague	0.0493569
world-class	0.049309
rodeo	0.0492373
"Pan Pacific"	0.0488915
medley	0.0487288
"Earnhardt Jr."	0.0487228
"Special Olympics"	0.0486825
Indy	0.0484388
"Cactus League"	0.0481636
ten-day	0.0480921
"sports car"	0.0480914
K@	0.0480416
Loudon	0.0479631
"Thomas Cup"	0.0475443
"DEEP BLUE SEA"	0.0472903
"won eight"	0.0468108
"Southwest Conference"	0.0466165
Falmouth	0.0464075
"NL Central"	0.0463129
Springbok	0.0461565
"Wang Junxia"	0.0461522
"American League East"	0.0460382
"London Marathon"	0.0459084
"Favorite Trick"	0.0458266
Irwindale	0.0456091
Forsythe	0.0456064
"Roush Racing"	0.04518
"race car"	0.0449841
A.L.	0.0449778
biplane	0.0444415
"AL West"	0.0444361
Humvee	0.0443651
eight-week	0.0442292
submersible	0.0440976
"World League"	0.043988
"professional golf"	0.0438852
"NL East"	0.0438678
Chevys	0.0438444
"Eastern Division"	0.0438071
RV	0.0436311
"San Sebastian"	0.0436195
"Hopman Cup"	0.0435196
parimutuel	0.0434872
"clean and jerk"	0.0434327
marquee	0.0434297
trampoline	0.0434021
))
(BOC (desc 3314.95) (sims
ICBC	0.357356
CCB	0.344388
SDB	0.278714
Eximbank	0.219809
PICC	0.197981
CITIC	0.158108
"Bank of China"	0.156049
COSCO	0.152088
"Industrial and Commercial Bank of China"	0.15107
HSBC	0.144792
"Bangkok Bank"	0.144526
Unicom	0.143646
CNPC	0.14159
EBRD	0.140419
"State Development Bank"	0.140235
Barclays	0.13712
"China Unicom"	0.135317
CDB	0.135097
Starwood	0.133104
CNOOC	0.131763
"U.S. Trust"	0.125341
CIRC	0.121975
NiSource	0.121295
BofA	0.121116
"China Construction Bank"	0.118667
Citibank	0.118457
UBS	0.118216
"Hongkong Telecom"	0.117307
CSRC	0.116322
ICA	0.115958
"Australian Olympic Committee"	0.115908
TDB	0.114585
CPAFFC	0.112263
CCF	0.112011
Norwest	0.111745
BankBoston	0.111611
"Agricultural Bank of China"	0.111257
IFC	0.110982
ADB	0.110818
Ericsson	0.110423
TDC	0.110089
PBC	0.110077
"Societe Generale"	0.10941
LTCB	0.108196
"Nippon Credit"	0.107123
RJR	0.106391
"Bank of America"	0.104574
"Thermo Electron"	0.1038
IAI	0.103763
ECB	0.102977
PBOC	0.102747
Seagate	0.101464
Alcatel	0.101121
UTC	0.100466
CBK	0.0989268
Fingerhut	0.0985455
CSE	0.0984719
ExciteAtHome	0.0981995
"China Telecom"	0.0975923
"China Southern Airlines"	0.0973601
CAS	0.0967894
ARATS	0.0961484
Transamerica	0.0961123
ACWF	0.0960614
"Visa International"	0.0955693
CAAC	0.0955453
"Niagara Mohawk"	0.0950975
BNFL	0.0950658
HKMA	0.0950048
PLN	0.0949539
"Computer Associates"	0.0949499
SSE	0.0945443
NatWest	0.0943724
IDB	0.094006
Comsat	0.0938693
TYCO	0.0931287
"Deutsche Bank"	0.0929387
NEC	0.0926616
ATC	0.092552
"Industrial Bank of Japan"	0.0924606
Yamaichi	0.0922906
iXL	0.0921816
Sinopec	0.0917842
ALZA	0.0914796
NCR	0.0909552
ING	0.0908614
Sunbeam	0.0908571
"BellSouth Corp."	0.0903882
Nortel	0.0903105
Georgia-Pacific	0.0899831
Bridgestone	0.0897366
Eurotunnel	0.0895274
"Wells Fargo"	0.0894361
FEMA	0.0893808
CCPIT	0.0893023
"Con Ed"	0.0891874
"U.S. Soccer Federation"	0.0888777
NHRA	0.0887287
"Bank of Communications"	0.0885008
"First Union"	0.0883516
CMA	0.088272
CCA	0.0877333
Sumitomo	0.0877287
Schwab	0.0876644
"Pac Bell"	0.0876625
MindSpring	0.087462
Paribas	0.0872812
AGL	0.0871735
Corning	0.0871249
"Construction Bank of China"	0.087124
AMC	0.086922
sandpiper	0.0869088
"State Street"	0.0868947
"Ford Motor Company"	0.0865774
"Defense Agency"	0.0863651
Akamai	0.0861898
Petrofina	0.0861796
"Bankers Trust"	0.0861365
GEC	0.086129
Emulex	0.0860875
"Bank of Thailand"	0.0860526
"Washington Mutual"	0.0860524
"Korean Air"	0.0859547
NationsBank	0.0858656
Gazprom	0.0858378
Healtheon	0.0857046
"Chinese Olympic Committee"	0.0854732
Checkfree	0.0854273
BOI	0.0853605
TAZARA	0.0852912
"Export-Import Bank"	0.0851784
Motorola	0.0849681
MII	0.0845365
"national bank"	0.0844079
AutoNation	0.0838527
OPIC	0.0838427
"HBO &AMP; Co."	0.0837043
"U.S. Golf Association"	0.0836844
Merrill	0.0836592
CBC	0.0834732
"Agriculture Ministry"	0.083305
Halliburton	0.0828869
Honeywell	0.0826042
FSA	0.0824281
Aetna	0.0821677
"commercial bank"	0.0816819
"Malaysia Airlines"	0.0811717
"Xinhua News Agency"	0.081016
"World Bank"	0.0810091
PRIMESTAR	0.0809673
Broadcom	0.0809014
XYLAN	0.0808762
TCI	0.0808302
EMC	0.0807729
"Pacific Exchange"	0.0807393
SBC	0.0806072
"Adobe Systems"	0.0805267
GEF	0.0805125
"Philippine Central Bank"	0.0805049
NIH	0.0804433
INEC	0.0803806
Telmex	0.0803291
AIG	0.0802556
Daimler-Benz	0.0801084
"Russian Space Agency"	0.0799126
Daewoo	0.0799034
"Bank of Japan"	0.079886
"BP Amoco"	0.0798689
BCE	0.0798636
"Air China"	0.0797574
WEF	0.079604
ENTERGY	0.0796011
Commerzbank	0.0795418
"EU Commission"	0.0795186
FIVB	0.0792981
IMS	0.0791849
CSA	0.0791638
Dresdner	0.0791417
Sanyo	0.0791351
KONI	0.0789391
FPL	0.0789087
Enron	0.0787494
"Nortel Networks"	0.0787479
CMGI	0.0786784
Loral	0.0785058
SETC	0.0783832
PLDT	0.078348
BankAmerica	0.0781657
"Public Security Ministry"	0.0781648
CAF	0.0780786
Gilead	0.0778917
Carrefour	0.0778664
SSB	0.0777079
Alltel	0.0777076
NTT	0.0776522
Interpol	0.0775885
CSC	0.077458
BellSouth	0.0774552
UCI	0.0773344
"International Skating Union"	0.0771262
))
(Boca (desc 2412.38) (sims
Atletico	0.152748
"Boca Juniors"	0.150235
"Red Star"	0.113936
Lapentti	0.103676
Bayern	0.0987807
Shenhua	0.0970447
Necaxa	0.096166
Vina	0.0895179
AEK	0.0875277
Guerra	0.086786
Serna	0.0859697
Benfica	0.0859392
Carrera	0.0846521
Deportivo	0.0838025
"Partizan Belgrade"	0.0822522
Hoya	0.0820508
Anderlecht	0.0799325
"San Lorenzo"	0.0795799
Laguna	0.0784431
PAOK	0.0777497
Leverkusen	0.0776825
Boilermakers	0.0767727
Rocha	0.0758696
Spartak	0.0755533
UD	0.0747941
Betis	0.0741618
"Phoenix Mercury"	0.0739949
"Atletico Madrid"	0.0734234
"River Plate"	0.070908
"Los Angeles Galaxy"	0.0703607
Panathinaikos	0.0700159
Renteria	0.069524
Ajax	0.0694807
Rennes	0.0693219
Palmeiras	0.0687254
Feyenoord	0.0687014
Porto	0.0679979
Sooners	0.0679561
Ville	0.0677756
Banda	0.0677154
Guadalajara	0.0677053
Schalke	0.0676093
Gustafsson	0.0672303
"Horned Frogs"	0.0668402
Galatasaray	0.0666258
Fiorentina	0.0665711
Fuente	0.0665315
Flamengo	0.0662699
gamecock	0.0661298
Stephenville	0.0658295
Independiente	0.0656952
Espanyol	0.0655779
Edberg	0.0653116
Obilic	0.0652214
"Dallas Burn"	0.0650418
"Tar Heels"	0.0650192
Dosedel	0.0647696
"Miami Fusion"	0.0640466
Sevilla	0.0640415
Grange	0.0638199
Garza	0.0636034
Puente	0.0632539
Terps	0.0632313
"Fighting Irish"	0.0629882
Starzz	0.0629548
Rua	0.0629507
Bengals	0.0623307
"LA Lakers"	0.0623269
Cavs	0.0622048
MetroStars	0.0616847
Sugiyama	0.06143
UNT	0.061064
Wolfsburg	0.0608067
PSG	0.0603203
Boer	0.0602184
"Yokohama Baystars"	0.0601351
Polgar	0.0600443
"La Salle"	0.0598708
"Beijing Ducks"	0.0598631
"Colo Colo"	0.0597667
"Borussia Dortmund"	0.059682
"New Jersey Devils"	0.0596382
Ulihrach	0.0592945
LOS	0.0592429
Lobos	0.0591358
"Crimson Tide"	0.0589736
Wanda	0.0587149
Bjorkman	0.0585962
"Jubilo Iwata"	0.0585074
"Team USA"	0.0584759
Perugia	0.05825
Prinosil	0.0581467
mano	0.0580749
"Dalian Wanda"	0.0577208
UNC	0.0575895
Empoli	0.0574899
Vita	0.0572095
NAU	0.0571251
UMass	0.0569203
Puerta	0.0568872
Hofstra	0.0563232
Brasil	0.0562732
Gremio	0.0561211
Vols	0.0560689
Tete	0.056068
Iona	0.0560463
Olympiakos	0.0559964
"Phenix City"	0.0558881
bearcat	0.0558136
niner	0.0555458
terrapin	0.0555104
Springbok	0.0554418
Jayhawks	0.0552321
Sunderland	0.0551675
Maribor	0.0551653
Hokies	0.0551216
Udinese	0.0550877
UAB	0.0550073
Meligeni	0.0549975
Razorback	0.0547656
Dortmund	0.0545913
FSU	0.0545762
Plata	0.0544434
Vitoria	0.0544041
Rosenborg	0.0541416
Hongyuan	0.0541311
Inter	0.0541299
Tarango	0.0541052
"Seibu Lions"	0.0540819
OSU	0.0540695
corinthian	0.053986
"Vancouver Canucks"	0.0539773
"Red Star Belgrade"	0.0539597
Makinen	0.0539179
OCA	0.0538724
"Velez Sarsfield"	0.0537306
Aggies	0.0536862
"yellow jacket"	0.0536662
Marseille	0.0535804
Sautin	0.0535383
BUCCANEER	0.0534125
Damm	0.0533536
Dumas	0.0531549
magpie	0.0530998
"Red Storm"	0.0530372
Brondby	0.0529292
Biffle	0.0528938
"blue devil"	0.0528132
Vacek	0.0527981
Dartmouth	0.0525245
Wolfpack	0.0524775
Lecce	0.0521783
Northridge	0.052164
Coetzer	0.0520133
Timberwolves	0.0519454
Barros	0.0518975
Mallorca	0.0518382
Kaiserslautern	0.0517342
Blackhawks	0.0516272
PSV	0.0515674
espana	0.0515671
UA	0.0515204
"N.C. State"	0.051431
del	0.0513699
Newcastle	0.0512936
Meissnitzer	0.0512688
Seahawks	0.0512043
"West Ham"	0.0511464
Habsudova	0.0511272
Berasategui	0.0510704
SAL	0.051002
"St. Bonaventure"	0.0509749
"Kansas State"	0.0508175
"Simi Valley"	0.0506562
Av	0.0506055
"Los Angeles Sparks"	0.0505732
Stolle	0.0505582
Steelers	0.0505527
Tottenham	0.0505431
Salerno	0.0505205
Seminoles	0.0505093
BYU	0.0503356
"Kinder Bologna"	0.0502371
"Santa Fe"	0.04998
Melrose	0.0499185
sixer	0.0499045
"Di Canio"	0.0498494
Gymboree	0.0498324
creme	0.0497675
Borbon	0.0496032
Swardt	0.0495846
"Chinese Army"	0.0495016
Barrio	0.0494993
"Athletic Bilbao"	0.0494751
Rosales	0.049474
Besiktas	0.049266
Bucs	0.0492304
"Xia Xuanze"	0.0492246
Reforma	0.0491104
piston	0.0490793
))
("Boca Juniors" (desc 3545.41) (sims
"River Plate"	0.318967
"Velez Sarsfield"	0.272759
"Franco Squillari"	0.271042
Independiente	0.244271
"Mariano Zabaleta"	0.240492
"Florencia Labat"	0.238028
"Mariano Puerta"	0.222533
"Hernan Gumy"	0.215049
"Paola Suarez"	0.198587
"San Lorenzo"	0.185486
"Olympique Marseille"	0.171562
"Red Star"	0.165817
"Colo Colo"	0.162896
Gremio	0.154363
"Chinese Army"	0.152581
Boca	0.150235
Estudiantes	0.1492
Besiktas	0.146506
Nacional	0.14641
"Shanghai Shenhua"	0.145079
Salernitana	0.144058
Benfica	0.141425
"Partizan Belgrade"	0.14075
Galatasaray	0.138214
"Atletico Madrid"	0.138119
Anderlecht	0.13749
Palmeiras	0.136525
Panathinaikos	0.135569
"Schalke @@"	0.135393
"VfB Stuttgart"	0.13525
"Nottingham Forest"	0.134732
Bastia	0.132443
"Nicole Pratt"	0.131723
"Inter Milan"	0.131245
"Crystal Palace"	0.130798
"Ajax Amsterdam"	0.130353
"Real Betis"	0.129416
Obilic	0.128543
Olympiakos	0.128432
"Dalian Wanda"	0.127434
"AEK Athens"	0.127016
"Glasgow Rangers"	0.126308
"Carlos Menem"	0.126122
"Arnaud Boetsch"	0.125489
"Asa Carlsson"	0.124853
Brondby	0.124803
Fiorentina	0.123865
Auxerre	0.123701
"Kinder Bologna"	0.123669
"Arnaud Di Pasquale"	0.123299
"Christian Ruud"	0.12311
"Barbara Schwartz"	0.122871
Everton	0.122566
"Rainer Schuttler"	0.122557
Necaxa	0.122233
"Albert Portas"	0.12211
Napoli	0.12174
"Galo Blanco"	0.120987
Cruzeiro	0.120903
"AC Milan"	0.12079
"FC Porto"	0.120122
corinthian	0.120097
"Tatiana Panova"	0.119845
"Andreas Vinciguerra"	0.119372
"Joannette Kruger"	0.118969
Flamengo	0.118798
"Sarah Pitkowski"	0.118356
"Catalina Cristea"	0.118172
"Barbara Rittner"	0.117604
"Tara Snyder"	0.117486
"Marcelo Filippini"	0.117375
"Paris St Germain"	0.11722
Gama	0.116623
Espanyol	0.116602
"Newcastle United"	0.116354
Udinese	0.116315
Sunderland	0.115729
Atletico	0.115535
"Marcos Ondruska"	0.115447
"Leicester City"	0.114833
"Juan Antonio Marin"	0.114814
"Andrew Ilie"	0.114812
"Sichuan Quanxing"	0.11452
"Xavier Malisse"	0.114502
"Kim Clijsters"	0.114437
"Elena Dementieva"	0.114393
"Miriam Oremans"	0.114306
"Bayern Munich"	0.113867
"Nathalie Dechy"	0.11379
"Magui Serna"	0.113772
"Bayer Leverkusen"	0.113534
Feyenoord	0.113459
"Barbara Paulus"	0.113315
Penarol	0.113312
"Richard Fromberg"	0.113233
"Fernando Meligeni"	0.11311
"Borussia Dortmund"	0.113058
"Guangzhou Apollo"	0.112951
"Rita Grande"	0.112539
"Neville Godwin"	0.112244
"Borussia Moenchengladbach"	0.112201
"Olga Barabanschikova"	0.111564
Fenerbahce	0.111145
Fulham	0.111054
"Sebastien Grosjean"	0.111003
Parma	0.110983
Middlesbrough	0.110882
Torino	0.110529
"Renzo Furlan"	0.110464
Heerenveen	0.109979
Watford	0.109534
"Real Madrid"	0.109486
"Manchester United"	0.109367
"Roger Federer"	0.108848
"Younes El Aynaoui"	0.108714
"Adrian Voinea"	0.108527
"Naoko Sawamatsu"	0.108239
"Andrei Pavel"	0.108103
"Arnaud Clement"	0.107967
Bayern	0.107835
"Amy Frazier"	0.107518
Perugia	0.107459
"Michael Tebbutt"	0.107352
"Anne-Gaelle Sidot"	0.107031
"Slavia Prague"	0.106559
"Sebastien Lareau"	0.106374
"Vincent Spadea"	0.106345
"Brett Steven"	0.10623
"Anne Kremer"	0.105803
Ajax	0.105636
"Ramon Delgado"	0.10547
"Steve Campbell"	0.105268
"Coventry City"	0.105253
"Davide Sanguinetti"	0.105176
"Celta Vigo"	0.104777
"Olympiakos Piraeus"	0.104517
"Guangdong Hongyuan"	0.104242
"VfL Wolfsburg"	0.104037
Valladolid	0.103572
"Nicolas Escude"	0.103337
"Judith Wiesner"	0.103256
Zamalek	0.103085
"Diego Maradona"	0.102858
"Magdalena Maleeva"	0.102631
"Aston Villa"	0.102547
"Blackburn Rovers"	0.102332
Kaiserslautern	0.101892
"Jubilo Iwata"	0.101713
"Gianluca Pozzi"	0.101643
Rosenborg	0.101109
Juventus	0.101073
"Guillaume Raoux"	0.100671
Shenhua	0.10011
"Els Callens"	0.100015
"Mikael Tillstrom"	0.0999758
"Real Sociedad"	0.0998117
"Sabine Appelmans"	0.0997781
"Leeds United"	0.0996357
"Daniel Nestor"	0.0995894
Sampdoria	0.0994712
"Kenneth Carlsen"	0.0994084
"West Ham United"	0.0992637
"Carlos Costa"	0.0992537
"Yayuk Basuki"	0.097486
"Slava Dosedel"	0.0969489
Olimpia	0.0965563
Testud	0.0961896
Inter	0.0961813
"Scott Draper"	0.0956876
Schalke	0.0956464
"Hernan Crespo"	0.0953529
"Spartak Moscow"	0.0952761
"Kristie Boogert"	0.0951028
"Javier Sanchez"	0.0946672
"Jerome Golmard"	0.0945915
Spartak	0.0944301
"Wayne Black"	0.0941143
"Miami Fusion"	0.0940967
"Karim Alami"	0.0937324
"Dynamo Kiev"	0.0937007
Porto	0.093625
"Silvia Farina"	0.0931665
Maribor	0.0931317
"Werder Bremen"	0.0930621
"Seibu Lions"	0.0929979
"Bafana Bafana"	0.0929656
Nantes	0.092435
"Gabriel Batistuta"	0.0920955
"Deportivo La Coruna"	0.0920392
"Justin Gimelstob"	0.0919052
"Cara Black"	0.0917997
"Francisco Clavet"	0.0917562
"Derby County"	0.0916869
Barcelona	0.0916222
"Alberto Costa"	0.0915085
"West Ham"	0.0913197
"Paul Goldstein"	0.091199
"Elena Likhovtseva"	0.0908697
"Andrei Medvedev"	0.0905389
"Ruxandra Dragomir"	0.090229
))
("Boca Raton" (desc 8752.16) (sims
"Delray Beach"	0.171246
"Fort Lauderdale"	0.163847
"Boynton Beach"	0.155226
"West Palm Beach"	0.14093
"Palm Beach Gardens"	0.137067
"Palm Beach"	0.127891
"Coral Gables"	0.126723
Stamford	0.125954
Tampa	0.125069
"Overland Park"	0.123506
"Woodland Hills"	0.121095
Clearwater	0.120946
Greenwich	0.116206
Sarasota	0.115735
Naples	0.115503
"Lake Worth"	0.114312
"East Orange"	0.113525
Alpharetta	0.113239
"Key West"	0.109603
"Mill Valley"	0.109026
"Miami Beach"	0.108406
Hialeah	0.108281
"Port St. Lucie"	0.107539
Orlando	0.105042
"Palo Alto"	0.104918
Raleigh	0.103875
"White Plains"	0.10289
Sausalito	0.101529
Glendale	0.101413
Reseda	0.101369
Emeryville	0.100138
"Newport Beach"	0.0996675
Encino	0.0995663
Pensacola	0.0992959
Minneapolis	0.0979517
"Vero Beach"	0.0976825
"Santa Monica"	0.0974166
"Menlo Park"	0.097364
"New Haven"	0.0966191
"Beverly Hills"	0.0961078
"Santa Barbara"	0.095536
Scottsdale	0.0954321
Bradenton	0.0952361
Burbank	0.0952216
Brentwood	0.0949572
"San Mateo"	0.0942935
Braintree	0.0933223
"New Rochelle"	0.0927018
"South San Francisco"	0.0924827
Rochester	0.0923492
Norcross	0.0923295
"Fort Lee"	0.0915964
Spokane	0.0915278
"Grand Junction"	0.0909968
Gainesville	0.0906246
"East Hampton"	0.0902492
Burlingame	0.0901539
Lexington	0.0900215
Austin	0.0896421
"Walnut Creek"	0.0895168
"Dade County"	0.0894949
Marietta	0.0894008
"Palm Beach County"	0.0890668
Plano	0.0890208
Richmond	0.0889085
"Van Nuys"	0.0882516
Honolulu	0.0880963
"Simi Valley"	0.0880345
Pasadena	0.0879351
Wilmington	0.0878117
Miami	0.0877481
Needham	0.0874426
Lakeland	0.0873919
"Fort Worth"	0.0873831
"Los Angeles"	0.0872523
Westport	0.0870233
TALLAHASSEE	0.0868078
"El Segundo"	0.0861822
Wichita	0.0857015
"Westlake Village"	0.0856758
Tempe	0.0854575
"Kansas City"	0.0853003
"Daytona Beach"	0.0850026
"San Francisco"	0.0846727
Malibu	0.0845209
Birmingham	0.0844894
Jacksonville	0.0844664
Chatsworth	0.0839562
Lenexa	0.0838272
"New Canaan"	0.0837218
"West Hollywood"	0.0828921
"Las Vegas"	0.0828688
Phoenix	0.0828098
Montclair	0.0827454
"Westchester County"	0.0823915
"San Antonio"	0.0822005
Houston	0.0819668
"Baton Rouge"	0.0818093
"Thousand Oaks"	0.0817408
Rockville	0.0816192
Morristown	0.0815977
Englewood	0.0811179
"New Orleans"	0.0811163
Schenectady	0.0810395
"Highland Park"	0.0810112
"Colorado Springs"	0.0809342
Cambridge	0.0806767
"Cherry Hill"	0.0802301
Tarrytown	0.0802
"Silver Spring"	0.0801999
"Orange County"	0.0801194
Framingham	0.0801135
Fremont	0.0796038
Newark	0.0793992
"New Jersey"	0.079268
Albuquerque	0.0787435
"North Hollywood"	0.0785276
Philadelphia	0.0781202
Ithaca	0.0780837
Albany	0.0780183
Macon	0.0780182
"San Rafael"	0.0778569
"Studio City"	0.0778162
Burlington	0.07764
Greenville	0.0775677
"Brooklyn Heights"	0.0775587
Tucson	0.0774797
Manchester	0.0774495
Tarzana	0.0773484
Brookline	0.0773113
Calabasas	0.0772921
Medford	0.0771405
"Great Neck"	0.0769857
"Hollywood Hills"	0.0767978
Winston-Salem	0.0766564
Sunnyvale	0.0764636
Brooklyn	0.0763813
Watertown	0.0761619
Brockton	0.0760916
"Little Rock"	0.075978
"St. Petersburg"	0.0758767
Manhattan	0.0758571
Baltimore	0.0758514
Kissimmee	0.0756394
Hartford	0.0756067
"Santa Fe"	0.0755896
Savannah	0.0754591
"Sherman Oaks"	0.0749506
Nashville	0.0746787
Eureka	0.0746334
Decatur	0.07452
Columbus	0.074374
"San Diego"	0.0743657
Arlington	0.074341
"La Jolla"	0.0742535
Bangor	0.0741819
Charleston	0.0740732
Boise	0.0738848
Bethesda	0.0738679
"New York City"	0.0737794
"El Paso"	0.0737714
"Long Beach"	0.0736387
Berkeley	0.0733571
"San Juan"	0.0731563
Reston	0.0731186
"San Fernando Valley"	0.0726986
"Round Rock"	0.0726953
Bellevue	0.0726699
Montgomery	0.0726696
Dearborn	0.0725537
"Santa Clarita"	0.0725483
Chattanooga	0.0725001
Omaha	0.0722731
Yonkers	0.0720082
Portland	0.0717787
"Virginia Beach"	0.0716182
ATTLEBORO	0.0709608
Concord	0.0705912
Venice	0.07054
Indianapolis	0.0703611
Milwaukee	0.0703527
Westfield	0.070267
Flagstaff	0.0701316
BOGOTA	0.0701228
Cupertino	0.070017
LAKEWOOD	0.0700076
"Santa Ana"	0.0697956
Farmington	0.0697142
Bridgeport	0.0696617
Chappaqua	0.0695791
Montreal	0.0694094
Westchester	0.0693405
"Mountain View"	0.0692781
Memphis	0.0690105
"Des Moines"	0.0688039
"Cobb County"	0.0687559
Fairfield	0.0687368
"San Jose"	0.0684865
Providence	0.0684455
"San Fernando"	0.068404
))
(Bocelli (desc 1328.91) (sims
Heppner	0.149317
Nilsson	0.113828
Yoakam	0.112797
Shatner	0.112341
Caruso	0.102553
Springsteen	0.0982813
Bartoli	0.0974758
Cliburn	0.0965916
Ronstadt	0.0908289
Krall	0.0907807
Autry	0.0883381
Reznor	0.0856688
Dion	0.0856238
ASO	0.0843445
Streisand	0.0840485
Pavarotti	0.0822354
Dandridge	0.0785366
Aguilera	0.0783236
Robeson	0.0781248
Streep	0.076733
Simone	0.076592
Ozawa	0.0763774
Raitt	0.0762313
Marchand	0.0745303
"Billie Holiday"	0.0710855
Sinatra	0.0706778
Morissette	0.0705494
Sheedy	0.0704594
BSO	0.070416
Vasile	0.0696909
Puente	0.0696837
Farnsworth	0.0684465
Headley	0.0676191
"Tina Turner"	0.0671763
Merkel	0.0671706
Boulez	0.0669359
Midler	0.0644007
"Randy Newman"	0.0643755
Fleming	0.0637718
Blanchett	0.0628804
"Janis Joplin"	0.0627697
"Celine Dion"	0.0620294
"Diana Ross"	0.0615599
Iglesias	0.0614358
"Elton John"	0.061237
Stoyanov	0.0609043
Wildhorn	0.0608604
Cline	0.0606909
"Judy Garland"	0.060673
Wilhelm	0.0599045
Kan	0.0593859
Fonda	0.0593399
Mease	0.059151
"Audra McDonald"	0.0577168
Reinhardt	0.0575046
Merritt	0.0574345
McLachlan	0.057332
"Del Toro"	0.0568888
"Aretha Franklin"	0.0566813
Tran	0.0564859
Domingo	0.0563274
Trevi	0.0561899
Philbin	0.0560466
Sills	0.055934
Manson	0.0558226
"Washington Mutual"	0.0556223
Brundtland	0.0556121
Kremer	0.055545
Braugher	0.055467
Yitzhak	0.0553401
"Frank Sinatra"	0.0547934
"N Sync"	0.0547291
"Faith Hill"	0.0546467
Crichton	0.0546247
Koo	0.0545216
FloJo	0.0545151
Felten	0.054373
"George Jones"	0.0541915
Lacresha	0.0537006
Ellington	0.0536722
Lennon	0.053594
Rendell	0.0535411
"Renee Fleming"	0.0534388
Atwood	0.0533831
"Paul Simon"	0.0532836
Tilberis	0.05314
Golota	0.0530303
Stayner	0.0529982
Nolte	0.0528632
Astaire	0.0528537
Treen	0.0524356
Meredith	0.0523485
Blondie	0.0523412
Mellencamp	0.0522875
Paltrow	0.0521817
Fiennes	0.0521386
Toomer	0.0521205
Twain	0.0517285
Schroder	0.0516172
rudd	0.0514889
Tomlinson	0.0513886
Serpa	0.0512265
whomever	0.0510953
"Mel Carnahan"	0.0509877
Romar	0.0507727
"Natalie Cole"	0.0506569
Bragg	0.0503192
Farrell	0.0502812
"Tom Jones"	0.0501986
Hartman	0.0501166
Dylan	0.0499413
Presley	0.049881
"Dixie Chicks"	0.0498753
Chavalit	0.0498713
Hartwig	0.0498325
"Carly Simon"	0.04975
Lehrer	0.0497408
"Placido Domingo"	0.0496862
"Mandy Patinkin"	0.0495849
Spector	0.0495775
Copeland	0.0493877
"Andrea Bocelli"	0.0493182
"Andy Williams"	0.0493112
Quintero	0.0492446
"Cary Stayner"	0.0491561
Orton	0.0490927
Vaughan	0.0488298
Lind	0.0488143
"Bashar Assad"	0.0485527
Pryor	0.0485027
Upshaw	0.0484908
Henning	0.0484145
Majko	0.0483879
BRITNEY	0.0483767
Duvall	0.0481484
"Elvis Presley"	0.0481231
HILFIGER	0.047915
"Jessye Norman"	0.0478632
China.com	0.0478567
Bhattarai	0.047842
Elmo	0.0477856
Cloude	0.0476929
Taufik	0.0476857
"Kathy Bates"	0.0475829
Rais	0.0475528
Machado	0.0474738
"Ray Charles"	0.0474416
Kermit	0.0472882
Ghosn	0.0471446
Burba	0.0468922
Skakel	0.0465748
Picard	0.0464771
Flockhart	0.0464753
Shipman	0.0464739
"John Paul"	0.0463155
Bove	0.0463031
Menuhin	0.0461957
Pappas	0.0461159
Arnault	0.0460024
"Bob Dylan"	0.0459885
Hatfield	0.0459399
Basso	0.0456554
Bruijn	0.0455598
hodgson	0.0454437
"Johnny Cash"	0.0450956
"Kid Rock"	0.045095
Jensen	0.045036
Baryshnikov	0.0449333
Byrne	0.044922
"Britney Spears"	0.0448885
Amelia	0.044806
Gooding	0.0448004
Dickinson	0.0447069
Glaber	0.0446111
Bashar	0.0444984
Hagelin	0.0444851
Hoch	0.0443703
Osborne	0.0443109
noone	0.044293
Allchin	0.0442373
Poole	0.0441298
Elgar	0.0436709
"Brian Wilson"	0.0436576
"tax treatment"	0.0436401
Guthrie	0.0436173
Supremes	0.0436053
Borbon	0.0435762
GUMBEL	0.0435735
Janikowski	0.0434971
"line of work"	0.0433387
Jayasinghe	0.0432005
Celebrex	0.0431824
"Christina Aguilera"	0.043146
Eminem	0.0431366
McGuire	0.043093
Bondevik	0.0430777
Marichal	0.0430412
Cordova	0.0430283
Caine	0.0429171
McCourt	0.0428412
))
(Bochco (desc 1537.04) (sims
"Steven Bochco"	0.180902
Ruehe	0.107738
NBC-TV	0.095395
"Aaron Spelling"	0.0924795
gilder	0.090527
Klestil	0.085768
TALBOT	0.0848116
Kelley	0.0840058
Schaeffer	0.0826481
Goldin	0.081959
Jayakumar	0.0818512
Meguid	0.0795719
Arpaio	0.0792778
Sorkin	0.0788964
"David E. Kelley"	0.07859
MAMET	0.0776533
Groening	0.0730849
Beazley	0.0724373
Romer	0.072369
Ciampi	0.0714873
Pearce	0.070438
GRUDEN	0.0700708
Heaney	0.0692631
Jovanovic	0.0691964
Kornberg	0.0686585
McCurry	0.0684926
Stepinac	0.0677471
Alarcon	0.0676663
Hackett	0.0666042
Yosef	0.0664862
Maslyukov	0.0663833
Naumann	0.0662026
Kearin	0.0661998
Sharaa	0.0656764
Arens	0.0653928
"De Klerk"	0.0653306
"Lincoln Center Theater"	0.0651964
Leno	0.0649291
Pustovoitenko	0.0648916
Allchin	0.0648687
Colangelo	0.064823
Demaci	0.0646409
Connell	0.0644805
Samuelson	0.0644084
Pape	0.0643733
"Secretary General Esmat Abdul-Meguid"	0.0642287
Colburn	0.0641719
Stoneman	0.0630126
Gutman	0.062478
Keegan	0.0621261
Arbour	0.0619069
Bezos	0.0616452
Gauthier	0.061476
Henley	0.0613945
Insulza	0.0610632
picketers	0.0608143
Koskinen	0.0604546
Westendorp	0.0604437
"Secretary General Esmat Abdel-Meguid"	0.0598466
Glaser	0.0597699
"administration official"	0.0597658
Applegate	0.0594273
"Le Pen"	0.059373
Kremer	0.0593682
Kenyon	0.059353
Ohlmeyer	0.0593403
Sperling	0.0591883
Kyprianou	0.0591186
Checketts	0.0591041
Reiner	0.0586178
Kilborn	0.0583772
Steinberg	0.0581774
Rendell	0.0581194
Maharaj	0.0579316
Masire	0.0578686
DiCarlo	0.0578161
Talebi	0.0576542
Baird	0.0575958
Izetbegovic	0.0575678
Hauser	0.0574708
Shamshad	0.0573241
"National Thoroughbred Racing Association"	0.0573118
Condit	0.0571218
Greenwald	0.0570708
Connelly	0.0570301
Groscost	0.0569055
Heyward	0.0568669
Albrecht	0.0568597
"Don Imus"	0.0568419
hare	0.0567229
Cronin	0.0566909
Fleischer	0.0566009
Schafer	0.0565395
Severino	0.0563987
McKeon	0.0561418
Vonnegut	0.0561201
Duisenberg	0.0560957
Noonan	0.0559026
kraut	0.0558862
Atkinson	0.0556447
Gaffney	0.0555145
Bochy	0.05545
Byers	0.0554267
Kasoulides	0.0552247
Marulanda	0.055054
Hoke	0.0550529
Cleese	0.0549209
Duchovny	0.0549161
Goode	0.0548365
Dini	0.0547432
Zogby	0.0546749
Myhrvold	0.0545889
Lockyer	0.0545507
Tevanian	0.0544194
Rodionov	0.0543437
Charest	0.0542197
Westin	0.0540589
Lehrer	0.0537137
"KEN BURNS"	0.053702
Manley	0.0536727
Schuerholz	0.0536207
"Aaron Sorkin"	0.0535509
Kissinger	0.0533303
Ruthardt	0.0532363
Sarsour	0.0532277
Havelange	0.0532257
Cosby	0.0531959
Brittan	0.0531237
frist	0.0530773
Hartman	0.0528806
Lamberth	0.0528695
Waddell	0.0526388
Saleh	0.0526265
Summitt	0.0526257
"La Russa"	0.0524393
"market watcher"	0.0524186
Weil	0.0521682
Fassel	0.0519873
Meissner	0.0519412
Kopp	0.0519331
Ballmer	0.0519173
Farrakhan	0.0518117
Gerstner	0.0517791
Dodd	0.0517709
Rosenbaum	0.0516713
Bruton	0.0516703
Grammer	0.051608
Kingsley	0.0516059
Aliev	0.0516051
Erekat	0.0515704
Swanson	0.0515042
Chappell	0.0514773
Arum	0.051468
McMullen	0.0514251
Orban	0.0514042
Crenshaw	0.0513148
Zambrano	0.0512118
"Adem Demaci"	0.0512086
Babbitt	0.0511568
Kubrick	0.0511418
Yastrzhembsky	0.0510926
Malu	0.0510224
Engelberg	0.0510221
Tomjanovich	0.0509544
Massey	0.0509518
Singson	0.050935
Ozersky	0.0509249
Felten	0.0508837
D'Alessandro	0.0508267
Stroyev	0.050705
Yazdi	0.0507049
Torre	0.0506493
Edelstein	0.050645
Marchment	0.0506206
detractor	0.0505028
"Jimy Williams"	0.0504837
Springer	0.050477
Tsang	0.0504411
Eubanks	0.0504407
Verney	0.0504285
Soleil	0.0503481
Husseini	0.0502902
McGuire	0.0502901
Rudman	0.0502425
Winfrey	0.0502113
Bulatovic	0.0501866
Janssen	0.0501022
Gramm	0.0500958
Dunleavy	0.050052
Paciello	0.0500277
Fieger	0.0500226
"campaign official"	0.0500135
Gephardt	0.0499816
Rossotti	0.049958
Schmalensee	0.0499134
cutler	0.0498392
Alatas	0.0497292
Wildhorn	0.049657
Abdel-Meguid	0.0496345
McHugh	0.0496319
))
(Bochy (desc 1098.03) (sims
Gullikson	0.168021
Showalter	0.147909
Dunleavy	0.136614
Piniella	0.122598
Arens	0.118291
Arbour	0.117877
Nailon	0.115702
Vogts	0.112443
ISSEL	0.109824
Patel	0.109683
Muckler	0.109352
Hargrove	0.108029
Ftorek	0.106919
Neilson	0.106578
"U.S. Fed"	0.106469
Carollo	0.106468
Westendorp	0.104804
Guthridge	0.104532
Zambrano	0.10421
Hiddink	0.103224
Prewitt	0.102765
Schottenheimer	0.102139
Zucker	0.101735
Boles	0.101051
Cremins	0.100619
Maldini	0.100411
Milbury	0.0998577
beamer	0.0993081
Lacroix	0.0990154
Westphal	0.0988502
Kirkpatrick	0.0976044
Meissner	0.0969732
"Israeli Cabinet"	0.0967922
Eizenstat	0.0954901
hodgson	0.0950692
Flanagan	0.0949509
Gerstner	0.094664
Evernham	0.0943773
Kearin	0.0939544
Goossen	0.0939193
Popovich	0.093216
Kesri	0.09262
Jacquet	0.0923775
Difrancesco	0.0921012
Clements	0.0918516
Ribbeck	0.0908342
Oates	0.0907995
Whitsitt	0.090704
Skiles	0.090558
"Jim Harrick"	0.0902092
Morgenthau	0.090056
McKenna	0.0900133
Hybl	0.0899632
Polian	0.0898241
Heinrichs	0.089772
Daft	0.0895728
Calipari	0.0894682
Lamont	0.0894279
McKeon	0.0885032
Gainey	0.0881839
Preval	0.0881519
Wasserman	0.0875543
Ebbers	0.087084
Drysdale	0.0869626
Torre	0.0868861
Wenger	0.0866477
Pruett	0.0865703
Edelstein	0.0863817
Leyland	0.0862832
Hayworth	0.0861936
Delahunt	0.0858641
Granic	0.0857991
Wolfson	0.0857175
Neff	0.0853413
Scioscia	0.0852944
Desormeaux	0.0852826
Felton	0.0849694
Hunsicker	0.0847041
Goldin	0.0844225
Jauron	0.0842562
Rongen	0.0841216
Rosenblatt	0.0838789
Iger	0.0836036
Ohlmeyer	0.0835595
Tomey	0.0835373
Goode	0.0835225
Garrity	0.0834171
Lockyer	0.0827753
Banzer	0.0827724
Beazley	0.0825987
Sheehan	0.0823294
Hoddle	0.08209
Babcock	0.0820437
Reinhardt	0.081895
Newhouse	0.0818262
Beilin	0.0817744
Ruggiero	0.0817494
Badillo	0.0816685
Weinstein	0.0815944
Izzo	0.0815187
Teresi	0.0813788
"Jimy Williams"	0.0812663
Solich	0.0810062
Tanaka	0.0809026
Rossotti	0.0806069
Constantinescu	0.0801309
Sutter	0.0798706
Verney	0.079829
Soyinka	0.0796419
Bergeron	0.0795953
Dierker	0.0795777
Passarella	0.0795545
Nadler	0.0792088
Rambis	0.0789098
Slocum	0.0787654
Cline	0.0786876
Fleischer	0.0784588
Ikeda	0.0784462
Sampson	0.0780034
Butterworth	0.0778364
BURNHAM	0.0778177
Shinn	0.077785
Braswell	0.0774663
"Van Sant"	0.0768599
Halberstam	0.0767489
Rosales	0.0760726
Dennehy	0.076028
Alford	0.0758462
Gujral	0.0755872
Parrish	0.0755662
Ganassi	0.0754557
Hartley	0.0754412
Troussier	0.0752441
Kagwe	0.0752073
"Joe Torre"	0.0751838
Tobin	0.0751212
Muluzi	0.0749836
Solis	0.0747314
Aleman	0.0747167
Finkel	0.0743964
Shriver	0.074393
Romar	0.0743517
Bustamante	0.0742601
Schuerholz	0.0741857
Zogby	0.0741584
Dungy	0.0740638
Ivester	0.0739571
Rudenstine	0.0739196
Summitt	0.0738462
Piot	0.073642
Antley	0.0735499
Silverstein	0.0735498
Echols	0.0735046
Alarcon	0.0734826
Sykes	0.0734377
Gooden	0.0733013
Singson	0.0729777
"La Russa"	0.072975
Bragman	0.0726226
Aventajado	0.0725911
Scharping	0.0725144
Inman	0.0725006
Zadornov	0.0724683
Stubbs	0.0724678
"Mike Dunleavy"	0.0724469
Bildt	0.0722748
Paterno	0.0722633
Galvin	0.0722578
Sheng	0.0722456
Voinovich	0.0721516
Nagy	0.0721513
Sawyer	0.0721433
Ochoa	0.0717965
Wannstedt	0.0715789
Waddell	0.0713767
Cronin	0.0713747
Marineau	0.0713488
GAGE	0.0713303
Lindland	0.0713175
Azinger	0.0710477
Wagoner	0.0710057
Gauthier	0.0709758
Auerbach	0.0709018
Chambliss	0.0708531
Burleigh	0.0708224
Knapp	0.0704827
Conroy	0.0704702
Grasso	0.0703663
Hirschbeck	0.0701622
Cubas	0.0701315
Keenan	0.0701007
Vermeil	0.0700607
Reinsdorf	0.0699409
Advani	0.0698697
Inhofe	0.069847
Ruehe	0.069782
Bavasi	0.0697227
Hauser	0.0697052
Steiner	0.0696966
Cowher	0.069683
))
(bock (desc 1467.66) (sims
Briscoe	0.127174
Sorensen	0.122998
Brazile	0.117939
Lowry	0.111389
Marineau	0.108622
Farrell	0.10764
Greenwald	0.107291
Betts	0.107132
Atkinson	0.106791
Samuelson	0.10462
Copeland	0.104571
Henning	0.103917
Tuttle	0.103314
O'Sullivan	0.102854
Arron	0.102329
Ivey	0.101298
Kyprianou	0.100695
Knapp	0.100473
Kurth	0.100011
Grunwald	0.0990184
Schottenheimer	0.0978861
Merritt	0.0965877
Tilberis	0.0965621
McCormack	0.0963526
Jeffers	0.096279
McFadden	0.096046
Berenson	0.0951797
Kirkpatrick	0.0950202
Rongen	0.0948414
Fahey	0.0948195
Pape	0.0947767
Heinrichs	0.09439
Ebersol	0.0937651
Baum	0.093626
Morse	0.0931952
Zadornov	0.0928005
Mott	0.0927018
Griffiths	0.0917584
Byrne	0.0914886
Oliveira	0.0914048
Vogel	0.0912404
Adkins	0.0907866
Jauron	0.0900255
Donohue	0.0896895
Rosenthal	0.0895971
Kirby	0.0895056
Callahan	0.0894645
Markovic	0.0894041
Ganassi	0.0893902
Meissner	0.0890145
Garvey	0.0889184
Mckee	0.0888454
Lawler	0.0888281
Cline	0.0886939
Whaley	0.0886779
DuBose	0.0886528
McGovern	0.0884786
Lockwood	0.0880392
Boyle	0.0879425
Solis	0.087608
Arbour	0.0873161
Franz	0.0872961
Grossman	0.086988
Grimes	0.0868682
Janssen	0.086843
Duffy	0.0864993
Bingham	0.0863002
Waxman	0.0861892
Rubenstein	0.0860983
Jarvis	0.0859078
Keenan	0.0855412
Rutherford	0.0855175
Menchu	0.0854439
Sommer	0.0854399
Goldin	0.0853769
Wiggins	0.0852528
Portnoy	0.0851814
Cleary	0.0845979
Willard	0.0845648
O'Connell	0.0845037
DONOVAN	0.0844949
Suarez	0.0844405
McDonnell	0.0843716
Lerner	0.0843309
Krall	0.0843145
Hickman	0.0842081
Dowd	0.0841503
Whyte	0.0840133
Townsend	0.083847
Hartwig	0.08381
Stahl	0.083757
fuller	0.0834999
Constantinescu	0.0834865
Wolfson	0.0834454
Fiorina	0.0833513
Tobin	0.083282
Popovich	0.0830345
Mucha	0.0830146
Hagel	0.0830105
Zuckerman	0.0828943
Darnell	0.0828933
Haines	0.0827147
Ono	0.0826942
Henley	0.0825948
Diouf	0.0825457
Chao	0.0824532
Gogel	0.0824442
Abram	0.0823854
Briggs	0.0822952
Hobson	0.0822761
lauder	0.0821756
Moscoso	0.0820504
Slocum	0.082009
Dukakis	0.0819989
Hurley	0.081752
Tharp	0.0816697
Lange	0.0816537
Newhouse	0.0815822
Quintero	0.0811524
Sims	0.0811074
Shriver	0.081063
Hensley	0.0809943
Hartley	0.0809449
Weiner	0.0807335
Ftorek	0.0804911
Hendrickson	0.0802328
Boardman	0.0799375
Kurtz	0.0798869
Bratton	0.0796736
Hess	0.0796586
Redgrave	0.0796465
Adler	0.0795045
Finkel	0.0795012
Rossi	0.0792732
Bessette	0.0792114
Jensen	0.0791832
O'Malley	0.0788208
Capel	0.078744
Webdale	0.0785921
Vasquez	0.0785881
Harrell	0.0785456
Schmitt	0.0784695
Roberson	0.0784662
Torres	0.0783897
Marquez	0.0783691
Bidwill	0.0782347
Carey	0.077954
Passarella	0.0778765
Robson	0.0778376
MacKay	0.0777303
Farber	0.0776555
Hamlin	0.0776362
Cowan	0.0776119
Clarke	0.0773116
Shulman	0.0771859
Zambrano	0.0770819
Mohamed	0.0770106
Inman	0.0769901
Flockhart	0.0769061
Nilsson	0.0768961
O'Hara	0.0768848
Shalala	0.0768526
Sherrill	0.076819
Ruehe	0.076779
Aguirre	0.0767605
Rossotti	0.0767204
Rowan	0.0766265
Rahal	0.0765815
DeFrantz	0.0765686
Harman	0.0765413
Greco	0.0765101
Baer	0.0764887
Jaffe	0.0763669
Corcoran	0.0762854
Snowe	0.0762821
Hartman	0.07627
Woodard	0.0761933
Dickerson	0.0760196
Bowers	0.0759841
Guerin	0.0758488
Geiger	0.0757742
Margolis	0.075748
Flores	0.0757428
Pitney	0.0757282
Ingalls	0.075684
LeFave	0.075662
Britton	0.0754274
Arens	0.0753993
Yoon	0.0753549
Guthridge	0.075309
Brawley	0.0752927
Wendt	0.0752634
Leung	0.0752444
Braswell	0.075199
Meyers	0.0751897
Drexler	0.0751695
Fung	0.0750443
Eizenstat	0.074848
Gaston	0.0748349
Salazar	0.0748057
))
(bodice (desc 3277.49) (sims
bustier	0.203157
neckline	0.200262
"cocktail dress"	0.189376
camisole	0.174692
chiffon	0.16628
blouse	0.163175
"evening dress"	0.159572
halter	0.143865
"evening bag"	0.139769
"evening gown"	0.137231
"pants suit"	0.136059
skirt	0.135902
legging	0.132233
tunic	0.130352
sheath	0.130167
turtleneck	0.128524
trouser	0.128479
pantsuit	0.126437
Pantsuits	0.123594
cardigan	0.121907
"ball gown"	0.118678
gown	0.115779
miniskirt	0.113972
pullover	0.113636
corset	0.113206
sweater	0.112001
vest	0.111682
sarong	0.109013
anorak	0.108645
jumpsuit	0.108553
jacket	0.105856
scarf	0.105787
caftan	0.104854
parka	0.103407
pant	0.102676
shawl	0.102022
sleeve	0.101648
tulle	0.100492
"leather jacket"	0.0996151
suspender	0.0986899
embroidery	0.097457
"bow tie"	0.0960391
sweatshirt	0.0956429
"hot pants"	0.0953094
waistcoat	0.0944692
collar	0.0943845
miniskirts	0.0939662
satin	0.0930108
bra	0.0920045
beading	0.0916008
bellbottoms	0.0911783
velvet	0.0909541
bandanna	0.0896637
shirt	0.0896546
bikini	0.089427
robe	0.0893812
trousers	0.088662
ruffle	0.0881761
slipper	0.0868581
"polo shirt"	0.0864142
"bathing suit"	0.0860348
raincoat	0.0847922
kilt	0.0832077
taffeta	0.0821445
fedora	0.0818309
veil	0.0812913
stocking	0.0808813
wig	0.0808038
kimono	0.0804321
yarmulke	0.0802949
headband	0.0801409
bodysuit	0.08012
headdress	0.0799804
beret	0.0799235
Bonnet	0.0797969
turban	0.0784964
slicker	0.0784854
hosiery	0.0780528
nightgown	0.0777367
"sport shirt"	0.077595
slacks	0.0773185
slack	0.0768278
Cape	0.0765595
hem	0.0765345
frock	0.0764296
tights	0.0762338
loincloth	0.075943
"place mat"	0.0758259
leotards	0.0751737
jean	0.0748224
tablecloth	0.0740422
pajama	0.0740316
waistline	0.0739117
"dress shirt"	0.0738071
capris	0.0737789
cuff	0.0733713
apron	0.073126
wristband	0.0723547
blazer	0.0719184
sandal	0.0710149
necktie	0.0708821
Sari	0.0707581
"business suit"	0.0698061
choker	0.0696267
sequin	0.0695845
windbreaker	0.069467
organza	0.0693069
upholstery	0.0692022
earring	0.0689433
Thong	0.0689161
overcoat	0.0688072
"top hat"	0.0677384
braid	0.0676266
hemline	0.0672701
petticoat	0.0670056
bathrobe	0.0666938
brassiere	0.0666057
pantyhose	0.0665376
"fur coat"	0.0664573
"cowboy boot"	0.0662459
pants	0.0661672
swimsuit	0.0660039
necklace	0.0652947
"felt hat"	0.0650869
"trench coat"	0.0649532
bandana	0.0635389
smock	0.0634586
handbag	0.063253
"life vest"	0.0632421
cloak	0.0631948
stripe	0.0627958
tartan	0.0624002
"sweat pants"	0.062099
Sash	0.0618486
sock	0.0617711
"dress uniform"	0.061673
"sports jacket"	0.0613195
sneaker	0.0609508
settee	0.0604784
Poncho	0.0601225
curtain	0.0598771
"straw hat"	0.059401
shorts	0.0592757
gauze	0.0588958
corduroy	0.0588598
Beard	0.058765
cashmere	0.0585412
"blue jean"	0.0576444
pouch	0.0576154
mule	0.057401
lampshade	0.0573379
waist	0.0573145
plaid	0.0573023
"hard hat"	0.0572874
armband	0.0572687
"Star of David"	0.0571376
mustache	0.0569999
tassel	0.0569491
bolero	0.0569149
"boxing glove"	0.0567493
mitten	0.0567449
sunglasses	0.0567104
"wedding dress"	0.0565832
brooch	0.056517
brocade	0.0560983
"tissue paper"	0.0560593
khaki	0.0556448
STETSON	0.0553505
bedspread	0.0549298
"nail polish"	0.0545318
loafer	0.0543458
silk	0.0538789
pillowcase	0.053799
drapery	0.0537764
handkerchief	0.0533661
undershirt	0.0531899
"polka dot"	0.0524875
tweed	0.0523985
goatee	0.0523067
eyeglass	0.0522156
tress	0.0521286
skullcap	0.0518578
gingham	0.0516366
coverall	0.0515763
eyeliner	0.0513984
"cowboy hat"	0.0511669
denim	0.0504895
"baseball cap"	0.0504163
moccasin	0.0501879
stripes	0.0498354
pigtail	0.0496809
led	0.0493814
crepe	0.0491233
pajamas	0.049107
"prayer shawl"	0.0489978
"ski mask"	0.0483726
Speedo	0.0483395
blinder	0.0480718
lining	0.0478971
knickers	0.0478601
))
("bodily function" (desc 2219.48) (sims
masturbation	0.0813214
nudity	0.0763201
urination	0.0676115
"communicable disease"	0.0667862
"body fluid"	0.0628819
"sexual intercourse"	0.0622431
"mechanical device"	0.0606647
inflection	0.0594256
"consumer durables"	0.0582451
"sea lane"	0.0560732
"media property"	0.0557388
"geographic region"	0.0552603
"subject area"	0.0547435
"marital status"	0.05354
"social status"	0.0532171
"body part"	0.053144
"venereal disease"	0.0516978
"off-speed pitch"	0.0512701
"blood sugar"	0.0510449
"internal organ"	0.0507478
libido	0.0504224
vulgarity	0.0500006
innuendo	0.0499568
major-leaguers	0.0493126
"nervous system"	0.0492044
"electronic device"	0.0486471
deformity	0.0483001
infirmity	0.0482343
"contagious disease"	0.0481142
dementia	0.0478484
"camera angle"	0.0477981
"extracurricular activity"	0.0474335
"marine animal"	0.0472738
"sexual activity"	0.0468984
"social activity"	0.0459049
"supply line"	0.0453413
"oral sex"	0.0441053
Contraception	0.0438177
silliness	0.0433132
lovemaking	0.0432987
emphases	0.0432763
secretion	0.0429054
"social event"	0.0429027
hiccup	0.0427471
"water sport"	0.0419641
"business line"	0.0419478
menstruation	0.0418664
"skin color"	0.0418302
"sexual desire"	0.0417857
"business enterprise"	0.041726
"social class"	0.0413839
"fire drill"	0.0413691
"mental disorder"	0.0412964
"vital organ"	0.0411642
retardation	0.0411175
"raw talent"	0.0408016
intangible	0.0405157
blue-chips	0.0402772
"retail operation"	0.0401536
"private parts"	0.0401167
))
(Bodine (desc 1300.32) (sims
Biffle	0.180152
Fleischer	0.168039
Laudrup	0.158242
Irvan	0.145285
Lepage	0.138965
Hornaday	0.135534
Herta	0.13331
Waltrip	0.129154
Andretti	0.127333
Gogel	0.126502
"Earnhardt Jr."	0.124694
Coen	0.123009
Kuehne	0.11671
Andreychuk	0.114351
Mayfield	0.113616
Najera	0.112394
Heinrichs	0.111617
Mendez	0.110455
Unser	0.108458
rudd	0.106907
Ainge	0.106239
Labonte	0.106029
beamer	0.105537
Wyly	0.105183
Paxon	0.103602
Insulza	0.102472
Hauser	0.102445
Marinovich	0.102221
Harbaugh	0.102046
Solis	0.101399
Meissner	0.10024
McGinnis	0.100005
Rahal	0.0996965
Wayans	0.0989171
Evernham	0.0988962
Menard	0.0987771
Willard	0.0987626
Samuelson	0.098519
Okada	0.0980009
Ligtenberg	0.0976561
Borbon	0.0961481
Azinger	0.0960675
McDOWELL	0.0957597
Neilson	0.095288
Troussier	0.0946136
Zanardi	0.0944776
Mehta	0.094412
Zambrano	0.094387
Scelzi	0.0940001
Cota	0.0936669
Tuberville	0.0936496
Kenseth	0.0935884
Cowan	0.0906378
Jarrett	0.0904577
Guerra	0.0898829
Baugh	0.0898559
Osmond	0.0892603
Garces	0.0888742
Cink	0.088725
Brandt	0.0887194
Neville	0.0886528
Sutter	0.0882508
Calcavecchia	0.088009
Hearn	0.0875513
Herges	0.0874995
Kurth	0.0874283
Crabtree	0.0873664
Seanez	0.0873657
Finkel	0.0870137
Irwin	0.0867736
Polian	0.0867237
Rongen	0.0866599
Moakley	0.0865794
BEGAY	0.0864334
Verney	0.08643
cain	0.086179
Ebersol	0.0860295
Passarella	0.0859711
McKeon	0.0855463
Dilfer	0.0854773
McCourt	0.0853878
Bedell	0.085279
Rossotti	0.0852421
Woodard	0.0852383
Jensen	0.08518
Dolan	0.0851059
Hartsburg	0.0848978
Ratliff	0.0847841
Gullikson	0.0847369
Ganassi	0.0841277
Ftorek	0.084033
Foyt	0.08386
McGuire	0.0835047
Stadler	0.083198
Jacquet	0.0830059
Triplett	0.0829658
McCarron	0.0829465
Elliot	0.082823
Stackhouse	0.0828179
Popovich	0.0828097
Montoya	0.0826567
Inman	0.0826106
Hendricks	0.0825654
Briscoe	0.0825351
Storr	0.0825338
Burks	0.0823909
Gossage	0.0823853
Azizah	0.0823744
Moog	0.0821844
Smyers	0.0821042
Rollins	0.082049
Tocchet	0.0815717
Capps	0.0815083
Weisman	0.0814443
Schrader	0.0814107
Dougherty	0.0813203
Shoate	0.081115
Alomar	0.0807942
Saberhagen	0.0807382
Newcombe	0.0805889
Sim	0.080548
Alves	0.0804809
Madsen	0.0803131
Pruett	0.0803029
Muckler	0.0801505
Gaston	0.0798492
Auriemma	0.0798021
Brack	0.0796302
Earnhardt	0.0796284
Contreras	0.0796172
Pena	0.0795416
Dunleavy	0.0794799
Boller	0.0791226
Menendez	0.0791179
Morse	0.0788149
Valenti	0.0787459
"Irish Catholic"	0.0787147
Piot	0.0786809
"Bank of Korea"	0.0784372
Lampkin	0.0783833
Barros	0.0782877
Knox	0.0780687
Schmid	0.0780328
Bartoli	0.0776548
Atler	0.0776486
Solich	0.07753
Rubenstein	0.0773202
Guthridge	0.0772144
DeBerg	0.0771383
Holtz	0.077104
Hartwig	0.0769267
Bratton	0.0768809
Padilla	0.0768529
Robson	0.0767406
Ikeda	0.0766842
Franchitti	0.0765995
Olivares	0.0765775
"administration official"	0.076447
Browne	0.0764108
Ochoa	0.0762065
Donnan	0.0760521
Paus	0.0759623
estes	0.0758158
Ruehe	0.0758132
Clare	0.0757959
Lafleur	0.0757875
"Van Raaphorst"	0.0756826
Hyman	0.0756802
Julich	0.0756598
leeson	0.0755892
"Todd Bodine"	0.0754316
Gagne	0.0752149
"Jeremy Mayfield"	0.0751157
Geiger	0.0748555
Martorano	0.074846
Vogel	0.0745859
Fulmer	0.0745598
Percival	0.074525
Hybl	0.0745003
Devers	0.0743806
Feuer	0.0742971
Lundberg	0.0742644
Sahadi	0.0742417
Mercker	0.0742217
Atwood	0.0742038
Mendoza	0.0741845
Ponciano	0.0738863
Zucker	0.0738792
Meggett	0.0736268
Kenyon	0.0736006
Goossen	0.0735932
Copeland	0.0734587
Lindros	0.0733938
Knapp	0.0733598
Aleman	0.0732497
Bowman	0.0731354
Sealy	0.0730802
Tomey	0.0730012
Robison	0.0729427
Calipari	0.0728739
))
(body (desc 292334) (sims
organization	0.133503
committee	0.122106
remains	0.121859
organ	0.118431
Council	0.117627
institution	0.116072
brain	0.115197
corpse	0.114812
commission	0.112134
arm	0.110277
agency	0.109307
group	0.10688
corps	0.103534
government	0.0999175
face	0.0984963
panel	0.0983564
people	0.0976792
leg	0.097031
authority	0.0964042
board	0.095226
legislature	0.0947033
bone	0.0941406
system	0.093856
house	0.0936783
department	0.093211
"international organization"	0.0916852
federation	0.0915049
head	0.0913065
"human body"	0.0911281
family	0.0901516
country	0.0897852
parliament	0.0893313
blood	0.0883744
skin	0.0882266
Assembly	0.087629
hand	0.0871715
heart	0.0870174
Congress	0.0859911
car	0.0858778
child	0.0856706
man	0.085571
community	0.0851345
patient	0.0849954
office	0.0849364
victim	0.0848708
society	0.0843092
chest	0.083683
court	0.083586
cabinet	0.0834599
party	0.0833397
state	0.0832622
structure	0.083003
neck	0.0829286
association	0.0827808
lung	0.0827787
skull	0.0826757
cell	0.0825619
member	0.0819443
muscle	0.0817882
woman	0.0817523
"United Nations"	0.0816512
life	0.0816385
eye	0.08163
torso	0.0814203
ministry	0.0811765
building	0.0809963
animal	0.0806463
team	0.0793512
"body part"	0.0791243
person	0.07879
them	0.0783363
tissue	0.0783298
company	0.0781868
wreckage	0.0781314
Death	0.0776195
administration	0.0771502
nation	0.0771484
shoulder	0.0770788
force	0.0767652
back	0.0766742
debris	0.076332
Grave	0.0762875
it	0.0761305
coffin	0.076097
official	0.0759416
union	0.075934
stomach	0.0752671
bank	0.0752153
piece	0.0747799
economy	0.0746385
image	0.0744548
tree	0.074353
area	0.0742903
world	0.0740772
limb	0.0736648
vehicle	0.0734273
side	0.0731611
entity	0.0725317
chamber	0.0724405
some	0.0724072
frame	0.0723701
school	0.0723436
"political party"	0.072235
IOC	0.072037
skeleton	0.0719603
object	0.0718885
worker	0.0718693
hair	0.0715837
U.N.	0.0714704
leadership	0.0713043
one	0.0712051
mother	0.0711121
cloth	0.0710724
sector	0.0708792
enterprise	0.0708742
parent	0.070786
business	0.0707729
police	0.0707507
"task force"	0.0706655
number	0.0705227
individual	0.0702944
relative	0.0697229
industry	0.0696216
ear	0.0695898
"local government"	0.0695661
program	0.0695344
mechanism	0.0690508
representative	0.069025
leader	0.0690059
work	0.0690057
part	0.0690021
water	0.0689923
him	0.0689832
market	0.0689564
officer	0.0689289
boy	0.0688629
those	0.0688312
feet	0.0687746
process	0.0687584
corporation	0.0686287
plane	0.0685839
home	0.0683998
"financial institution"	0.06832
student	0.068301
branch	0.0682588
power	0.0682426
"Security Council"	0.0680986
organisation	0.0679063
military	0.0678869
knee	0.0677628
unit	0.0677291
institute	0.0675099
Senate	0.0674875
dozen	0.0674473
city	0.0674058
wall	0.0673824
forum	0.0672331
girl	0.0672309
soul	0.0670168
firm	0.066968
soldier	0.0668937
liver	0.0667407
center	0.066704
Computer	0.0666909
region	0.066496
army	0.0664823
plant	0.0664774
doctor	0.0664269
President	0.0664269
sample	0.0664185
church	0.0663657
all	0.0662278
player	0.0661797
judge	0.0660567
name	0.0660454
box	0.0659548
Alliance	0.0657273
carcass	0.0655672
many	0.0655374
voice	0.0654524
others	0.0654485
seat	0.0654246
material	0.0651709
"working group"	0.0651197
machine	0.0650924
grouping	0.06501
baby	0.0649789
watchdog	0.0648893
staff	0.0646549
site	0.0646515
case	0.0645881
hundred	0.0644725
FIFA	0.06431
WTO	0.0642671
university	0.0639781
survivor	0.0637921
picture	0.0635869
weapon	0.0635854
her	0.0635754
"central bank"	0.0635731
))
("body armor" (desc 1292.11) (sims
"combat boot"	0.192781
"bulletproof vest"	0.16027
"ski mask"	0.151558
blackface	0.140784
"life jacket"	0.133112
miniskirts	0.129423
"oxygen mask"	0.121436
"face mask"	0.117611
headband	0.106283
"boxing glove"	0.103893
"dress uniform"	0.101488
"bowler hat"	0.100385
blinder	0.100334
raincoat	0.0940088
bellbottoms	0.0936704
visor	0.0930353
"life preserver"	0.0923872
"seat belt"	0.0895386
"feather boa"	0.0879726
yarmulke	0.0877234
"life vest"	0.0873825
"dark glasses"	0.0870771
"name tag"	0.0868638
blinker	0.0858261
goggles	0.0854596
"military uniform"	0.0849072
knickers	0.0836378
jumpsuit	0.0832533
"straw hat"	0.081921
"neck brace"	0.0817847
"prayer shawl"	0.0816104
specs	0.0805275
armband	0.0785188
seatbelt	0.0784695
"shoulder pad"	0.0781935
earplugs	0.0770794
"bow tie"	0.0751428
"leather jacket"	0.0749996
"hard hat"	0.0749361
leotards	0.0748295
"felt hat"	0.0744816
Thong	0.0742532
sunscreen	0.0735055
overcoat	0.0734358
Poncho	0.073097
"hot pants"	0.0730587
hand-me-down	0.0722427
tights	0.0722055
decal	0.0721713
armor	0.0715826
sunglasses	0.0715004
"submachine gun"	0.0714036
BOA	0.071244
headphone	0.0710552
"ball gown"	0.0708336
tampon	0.0706701
bodysuits	0.0694806
curler	0.0686927
"rubber boot"	0.0686266
"tennis shoe"	0.068431
"sweat pants"	0.0681254
"nail polish"	0.0678242
"blue jean"	0.0672512
headdress	0.0668904
miniskirt	0.066877
caftan	0.0668546
loincloth	0.0667534
handcuffs	0.0667467
"bathing suit"	0.0663204
headlamp	0.066309
bodysuit	0.0659445
eyeliner	0.0658146
"insect repellent"	0.0654364
cleat	0.0653715
"trench coat"	0.0647727
earphone	0.0643368
"stiletto heel"	0.0641394
tux	0.0641335
sarong	0.0636482
eyeglass	0.062641
mascara	0.0622939
hosiery	0.0615541
"business suit"	0.0614026
coverall	0.0608742
wristband	0.0604532
holster	0.0603448
moustache	0.0602722
"cowboy hat"	0.0601325
oleander	0.0598384
duds	0.0597835
bandanna	0.0595501
beret	0.0594489
hairpiece	0.0594475
"mink coat"	0.059435
"cocktail dress"	0.0591643
pantyhose	0.0588299
pedicure	0.0582512
headgear	0.0582025
bustier	0.0579191
"ticket stub"	0.0578348
"contact lense"	0.0575202
"baseball cap"	0.0572082
lampshade	0.0571277
prosthesis	0.0567279
fishnet	0.0562432
nightgown	0.055738
musket	0.0553258
Pantsuits	0.0551653
bathrobe	0.0550568
swimsuit	0.0549948
stiletto	0.054662
"street clothes"	0.0542362
"grocery bag"	0.054185
pantsuit	0.0539139
"rocket launcher"	0.0536751
girdle	0.0535066
Fubu	0.0533913
brooch	0.0533362
"blue blood"	0.0531422
snowshoes	0.0528317
undershirt	0.0528265
"evening bag"	0.0528041
underpants	0.0527079
"royal blue"	0.0525194
"sports jacket"	0.0521718
spandex	0.0521154
mitten	0.0520691
"false teeth"	0.0519966
corduroy	0.051658
"electrical device"	0.0508865
"evening gown"	0.0506984
Lei	0.0504531
"automatic rifle"	0.0502653
"cowboy boot"	0.0502182
"wedding dress"	0.0500402
hyphen	0.0498142
"wedding ring"	0.0493357
suspender	0.049305
"hockey stick"	0.0490269
dreadlocks	0.0488178
skullcap	0.0487691
"polo shirt"	0.0486258
slicker	0.0485839
barrette	0.0482522
pajama	0.0482139
gloves	0.0480789
"pants suit"	0.0480381
tunic	0.0476722
legging	0.0476064
"belt buckle"	0.0475541
"hand grenade"	0.0475226
"running shoe"	0.047493
"exercise equipment"	0.0472719
bluejeans	0.0470975
vestment	0.0469876
earpiece	0.0469522
G-string	0.0468391
knapsack	0.046772
scrubs	0.0467688
"safety belt"	0.0459791
"fur coat"	0.0456804
parka	0.0452285
duster	0.0447135
tweed	0.0445783
"top hat"	0.0444637
mitt	0.0442916
toupee	0.044105
"telephone set"	0.0440155
STETSON	0.043871
genital	0.0437296
eyeshadow	0.0435732
"line of products"	0.0434812
"wine vinegar"	0.0433144
sanctum	0.0432899
brassiere	0.0430977
rosary	0.0429718
smock	0.0427629
cutoffs	0.0426371
anorak	0.0424486
windbreaker	0.0423478
truncheon	0.0420698
"bed sheet"	0.0420261
"roller skate"	0.0419983
Armani	0.0419224
"water bottle"	0.041617
sheath	0.0415627
"engagement ring"	0.0415542
pompadour	0.0412506
clothes	0.0411803
bandana	0.0411223
Speedo	0.0411149
"Gertrude Stein"	0.041101
Afro	0.0409799
kilt	0.0408596
monty	0.0405596
cardigan	0.0405176
Bonnet	0.0403863
Uzi	0.0402885
fedora	0.040136
))
("body bag" (desc 3559.39) (sims
"grocery bag"	0.0895017
"duffel bag"	0.0776524
coffin	0.0766492
hearse	0.071509
Casket	0.0709695
sheeting	0.07076
sandbag	0.0706668
"sleeping bag"	0.0704042
tarpaulin	0.068666
toolbox	0.0667851
"shopping bag"	0.0638656
mulch	0.0616596
overcoat	0.0605653
"Willie Horton"	0.0601468
"Lincoln Town Car"	0.0593132
"water jug"	0.0591146
"garbage can"	0.0578481
"Jeep Cherokee"	0.0573255
"man's body"	0.0571608
Firewood	0.0565329
"cargo container"	0.0562645
tarp	0.056036
backpack	0.0540944
underwear	0.0540942
"tote bag"	0.0537777
caftan	0.0535641
"paper bag"	0.0533971
"space capsule"	0.0530398
"key ring"	0.0526953
infantrymen	0.0526623
"railroad car"	0.0522711
"boxing glove"	0.0517915
"packing material"	0.0517784
supplicant	0.0513874
"storm cloud"	0.0509952
Gi	0.0508129
"census taker"	0.0502483
vial	0.0501649
"electric current"	0.0496438
choker	0.049537
"elbow room"	0.0495201
"stiletto heel"	0.0494889
"Luna Rossa"	0.0493464
porthole	0.0493128
"water bottle"	0.0491924
oomph	0.0491784
"mushroom cloud"	0.0489581
"female body"	0.0489043
"beam of light"	0.0487986
pouch	0.0483634
beany	0.0478719
tubing	0.0474215
"ballot box"	0.0473252
"Blue Dog"	0.0469633
motorboat	0.0468823
crate	0.046805
steed	0.0467442
wrecker	0.0464984
trainload	0.0464408
fedora	0.0464237
briefcase	0.0461395
webcams	0.0460964
"paper cup"	0.0460404
farmworkers	0.0459078
"freight car"	0.0458885
pail	0.0458267
undershirt	0.0455022
checkbook	0.0453953
suitcase	0.045223
knapsack	0.04512
cylinder	0.0448682
"Joe Camel"	0.0448044
"running shoe"	0.0444607
tampon	0.0439358
headband	0.0439357
bustier	0.0438821
"dead body"	0.0435276
"electrical device"	0.043518
vasectomy	0.0434583
reinforcement	0.0434094
"ransom money"	0.0432743
"full page"	0.0431903
truckload	0.0431856
fire-fighter	0.0430427
paratrooper	0.043042
"bathing suit"	0.0430087
handcuffs	0.0428883
Dumpsters	0.0427017
planeload	0.0426875
"science teacher"	0.0426771
B-@s	0.0424909
"fountain pen"	0.0423971
boxcar	0.0422533
"Toyota Corolla"	0.0422188
"Brooks Brothers"	0.0421704
lean-to	0.0420511
blob	0.0420434
wheelbarrow	0.0417962
"piece of furniture"	0.0417356
fabricator	0.0416091
"street sign"	0.0415932
stocking	0.0414239
flashlight	0.041361
bandana	0.0411729
carload	0.041171
"loaf of bread"	0.0411637
"squad car"	0.041117
"trash can"	0.0410358
napkin	0.040632
Poncho	0.0405533
marcher	0.040536
sapling	0.040519
"personnel carrier"	0.0405082
"tennis shoe"	0.0404608
"line of fire"	0.0404132
holidaymaker	0.0403348
heifer	0.0402459
handbag	0.0402449
"blood cell"	0.0402281
firepower	0.040223
vagrant	0.0401969
carton	0.0401515
"hot pants"	0.0401362
mainlanders	0.0400968
parachutist	0.0400735
"double boiler"	0.0400124
))
("body count" (desc 3665.99) (sims
"market penetration"	0.0647151
caseloads	0.0636032
"dollar amount"	0.0617073
"elephant population"	0.0604994
added-value	0.057405
"gas price"	0.056908
"occupancy rate"	0.0563168
"phone bill"	0.0545204
"marketing cost"	0.0535691
homeownership	0.0530556
enrolment	0.0528961
indebtedness	0.0518736
C-section	0.0516253
"poverty rate"	0.0511307
p/e	0.0506616
"tax income"	0.0502099
"labor cost"	0.0497619
"Sugar Ray"	0.0490886
ridership	0.0487919
enumeration	0.0481815
"operating cost"	0.0475022
"production cost"	0.0473831
"debt load"	0.0466668
NPLs	0.0466285
"insurance premium"	0.0464106
winnowing	0.0460904
"fertility rate"	0.0459972
"rate of inflation"	0.0455476
"water table"	0.0453343
"bond price"	0.0453206
"price tag"	0.0452828
"financial loss"	0.0452113
"cost of living"	0.0451253
"noise level"	0.0451082
delinquency	0.0450485
throughput	0.0449026
"turnover rate"	0.0447883
"telephone bill"	0.0445978
viewership	0.044456
"personal income"	0.0444342
"Tar River"	0.044222
Qomolangma	0.0438575
"rate of growth"	0.0437558
waistline	0.0437422
"crime rate"	0.0434099
SPF	0.0433737
birthrate	0.0431564
Phish	0.0427817
"margin call"	0.0427248
"general knowledge"	0.0426683
PSA	0.0423525
"gross income"	0.0418813
premises	0.0416802
crosswind	0.0416793
spitting	0.0413271
"non-performing loans"	0.0408931
"vacancy rate"	0.0408365
capitalisation	0.0408122
exhumation	0.0403938
"population density"	0.0403795
"annual payment"	0.0401689
"birth rate"	0.0401304
))
("body fluid" (desc 1368.3) (sims
saliva	0.117635
secretion	0.092364
mucus	0.0850675
feces	0.0839867
urine	0.0793061
"vital organ"	0.0790628
"embryonic cell"	0.0777562
entrails	0.0735472
platelet	0.0680215
"internal organ"	0.0641784
semen	0.0636461
"bodily function"	0.0628819
sinew	0.0607945
excrement	0.0605248
"brain cell"	0.0597709
plasma	0.0580641
non-Albanians	0.0550254
"bone marrow"	0.0544115
"nerve cell"	0.0495422
marrow	0.0495084
"circulatory system"	0.0485262
droppings	0.0484088
Isner	0.0482848
hemophiliac	0.0481534
scat	0.0474867
"odds and ends"	0.0472558
"neurological disease"	0.0466952
perspiration	0.0465983
electrolyte	0.0465933
Kurth	0.0465063
"pubic hair"	0.0459564
intestine	0.0451921
PCB	0.0450802
"about @@@ million yuan"	0.0443053
meatpackers	0.0440809
"T cell"	0.0440525
"hair spray"	0.0437316
slime	0.0433746
placenta	0.0427647
trespasser	0.0416193
distinctiveness	0.0413198
RNA	0.041168
mitochondria	0.0409667
disfigurement	0.0407302
"genetic disease"	0.0402786
"Mars Climate Orbiter"	0.0401248
turpentine	0.0400663
"over @@@ billion yuan"	0.0400329
))
("body language" (desc 8613.5) (sims
"facial expression"	0.139961
inflection	0.108128
demeanor	0.0928222
mannerism	0.0787628
posture	0.0786659
phrasing	0.0781308
gesture	0.0720563
"tone of voice"	0.0679596
diction	0.0669882
expression	0.0659881
gait	0.06073
tone	0.0602997
"free association"	0.0564182
emotion	0.0560239
accent	0.0533612
temperament	0.051027
hairstyle	0.0494121
psychology	0.048929
nuance	0.0488836
Chemistry	0.0480048
makeup	0.0471147
handwriting	0.0470241
interaction	0.0469839
timbre	0.0466064
politeness	0.0459235
reasoning	0.0457951
"reaction time"	0.0457584
fallibility	0.0456678
edginess	0.0454153
shading	0.045411
eyelid	0.0453404
grammar	0.0449372
"writing style"	0.0447169
dialect	0.044601
theatricality	0.0442579
"camera angle"	0.0442218
"brain wave"	0.043924
"point system"	0.0436151
alphabet	0.0431989
Fernandes	0.0430461
imperfection	0.0427655
stats	0.0425597
"vocal cord"	0.0425069
velocity	0.0424554
posturing	0.0423197
"teaching method"	0.0422198
antic	0.0419667
Vibe	0.0419651
drawl	0.041919
hairdo	0.0416385
comprehension	0.0413662
stamina	0.0412555
kneecap	0.0411876
"last two digits"	0.041038
physique	0.0408634
handshake	0.0408112
wording	0.0406929
symbolism	0.0405476
persona	0.0404911
cadence	0.0404811
self-consciousness	0.0401233
wardrobe	0.0400559
earnestness	0.040009
))
("body of water" (desc 4068.45) (sims
metropolises	0.118299
lake	0.0990587
groundwater	0.0976003
Wetland	0.0950564
wetlands	0.0931209
waterway	0.0913973
estuary	0.0881328
marshland	0.0872345
"suspension bridge"	0.0836513
waterfall	0.0821267
aquifer	0.0818042
"geographic area"	0.0808926
lagoon	0.0808488
shipbuilder	0.0806889
pond	0.0798102
"parcel of land"	0.079351
tributary	0.0752753
ocean	0.0726969
"Lijiang River"	0.0712806
polluter	0.0710827
canyon	0.0710291
reservoir	0.0686285
moat	0.0685729
reef	0.0675094
Canal	0.0672402
"futures exchange"	0.0671297
"radio telescope"	0.0667523
"ground water"	0.0667364
ecosystem	0.0665825
"piece of music"	0.0659267
vertebrate	0.0653901
"Dianchi Lake"	0.0642966
"hole in the ground"	0.063332
"food company"	0.0633023
"demarcation line"	0.0622672
indentation	0.0622563
subgroup	0.0621409
busiest	0.0618534
"bicycle race"	0.0615075
"port of entry"	0.0614092
"oil producer"	0.0609832
"river basin"	0.0609145
habitat	0.0608713
ravine	0.0606611
Marsh	0.0605902
"cut of meat"	0.0599354
"chess player"	0.0595861
crematorium	0.0595092
"coral reef"	0.0592086
"mountain range"	0.0586441
"copper mine"	0.0584176
"mountain pass"	0.0583032
watershed	0.0574527
richest	0.0574366
"piece of land"	0.057233
basin	0.0571964
carmakers	0.0571767
Creek	0.0571662
"rain forest"	0.0570324
Rubicon	0.0568533
"geographical area"	0.0566925
safest	0.0566654
"Huaihe River"	0.0565588
inlet	0.0564799
"auto maker"	0.0564041
"water system"	0.056267
fastest-growing	0.0560585
gully	0.0559977
"jigsaw puzzle"	0.0556596
"Caspian Sea"	0.0553679
"major power"	0.0549448
toymaker	0.0548829
"theme park"	0.0544866
sandbar	0.0544265
campgrounds	0.0542689
"Dongting Lake"	0.0541005
"bank failure"	0.0540298
"garbage dump"	0.0538126
steelmaker	0.0534721
"black hole"	0.0534585
grassland	0.0530084
"written language"	0.0526536
"ball club"	0.0524639
"auto company"	0.0523195
"horse race"	0.0522907
brewery	0.0522709
mammal	0.0522451
"financial center"	0.0515076
"line of business"	0.0514701
"software maker"	0.0511567
illiterate	0.051062
"black person"	0.0510505
invertebrate	0.0510143
"insurance broker"	0.0510119
"toy maker"	0.0509279
"killer whale"	0.0509034
"credit bureau"	0.0506289
"popularity contest"	0.0503069
"sand dune"	0.0502674
bog	0.0502155
"Medicare HMOs"	0.0500978
glacier	0.0500879
"subject area"	0.0499849
"defense contractor"	0.0499332
"social group"	0.0498666
"national park"	0.0496458
puddle	0.0496183
cave	0.0496086
issuers	0.0495982
"electronics company"	0.0495588
"industrial enterprise"	0.0495554
polluters	0.0495075
flashpoints	0.0494972
"dividing line"	0.0494891
"trailer park"	0.0494788
"Huangpu River"	0.0494746
toughest	0.0493297
"marine animal"	0.0492796
"Liaohe River"	0.0492536
"funeral home"	0.0492311
dune	0.0490926
"pumping station"	0.0490504
Huaihe	0.0490106
"living thing"	0.0488272
coastline	0.0488242
"toy retailer"	0.048741
"Medicare HMO"	0.0486052
carnivore	0.0485956
"tropical rain forest"	0.0485765
"car maker"	0.0484277
phenomena	0.0483464
"car manufacturer"	0.0480896
Sugarloaf	0.0478322
"loaf of bread"	0.0476672
"important person"	0.0476208
seaport	0.0476124
footpath	0.0475369
"family unit"	0.0474973
poorest	0.0474484
"banking company"	0.0473557
Songhua	0.0473418
nunnery	0.0472133
"Demilitarized Zone"	0.0471635
"South American nation"	0.0471245
mangrove	0.0471148
"special economic zone"	0.0471113
"ice crystal"	0.0470616
shoreline	0.0470068
"chemical compound"	0.0469255
granary	0.0467404
brook	0.0466624
"burial ground"	0.0466342
crustacean	0.0466341
"tire maker"	0.0465855
"Taklimakan Desert"	0.0465432
"city block"	0.0464487
"drinking water"	0.0463345
Everglades	0.0463048
"treasure house"	0.0462808
"insurance firm"	0.0462675
organism	0.0462492
waterfowl	0.0462158
expanse	0.0461933
"social structure"	0.0459652
spas	0.0458009
archipelago	0.0457648
monolith	0.0457012
"opera company"	0.0456585
"particle accelerator"	0.0456526
"brush fire"	0.0456523
"cruise ship"	0.0456485
deepest	0.0456434
"steel company"	0.0455934
"piece of cloth"	0.0455816
multinationals	0.0455516
"water table"	0.0454681
cavern	0.0454313
meadow	0.0453972
"semiconductor maker"	0.0453749
privatizations	0.0453713
keystroke	0.0453289
"margin call"	0.0452548
"nuclear power"	0.0451988
porthole	0.0451009
bed-and-breakfasts	0.0449583
"urban area"	0.0449216
"point in time"	0.0449099
"sheet of paper"	0.0448543
"plant life"	0.0448505
"chain store"	0.0448316
tract	0.0448146
smelter	0.0447903
"life form"	0.0447341
"cash crunch"	0.0446256
"air bubble"	0.0446038
"extended family"	0.0445105
"Bohai Sea"	0.0445008
"Great Divide"	0.0444594
"three schools"	0.044401
"labor pool"	0.0443591
))
("body part" (desc 14369.7) (sims
remains	0.0867383
torso	0.0849194
limb	0.0826086
bone	0.0814815
belonging	0.0789688
tissue	0.0780986
corpse	0.077081
wreckage	0.0760029
debris	0.0758676
"internal organ"	0.0751524
genital	0.073603
corps	0.0732163
"dead body"	0.0729522
carcass	0.0693344
object	0.0681471
fragment	0.0671429
skeleton	0.0658389
nipple	0.0648456
organ	0.0647818
teeth	0.0643744
"man's body"	0.0633086
artifact	0.0611697
skull	0.0610239
fuselage	0.0608181
"woman's body"	0.0599236
"aircraft part"	0.0598773
skin	0.0598771
blood	0.0594401
Garbage	0.0588886
munition	0.0586138
utensil	0.0580764
kidney	0.0579137
Clothing	0.0577719
"brain cell"	0.0575105
contraband	0.0571786
paraphernalia	0.0564624
Gene	0.056012
flesh	0.0553417
"blood type"	0.0548646
PIERCINGS	0.0546154
fossil	0.0544151
liver	0.0543889
cloth	0.0543789
lung	0.0535752
DNA	0.0535381
luggage	0.0534343
genitalia	0.0532512
"bodily function"	0.053144
specimen	0.0529892
appliance	0.0524055
furniture	0.0523365
"chemical compound"	0.0522091
refrigerant	0.0519919
cell	0.0514731
"bone marrow"	0.0512445
enzyme	0.0511776
casing	0.050985
brain	0.0509402
"food product"	0.0507544
appendage	0.0505513
finger	0.050475
hair	0.0504693
shrapnel	0.0501931
"black box"	0.0501685
semen	0.0497062
jewelry	0.049699
"spare part"	0.0495799
"body type"	0.0494781
nutrient	0.0494253
nostril	0.0493745
"pubic hair"	0.0492951
muscle	0.0492583
nerve	0.0491482
fingerprint	0.0488213
earring	0.0487957
sinew	0.0486773
toe	0.048603
sperm	0.0484702
explosive	0.0483913
cartilage	0.048203
furnishings	0.0481154
brick	0.0480813
hairstyle	0.0480541
toy	0.0477116
"explosive device"	0.0476984
feces	0.0476378
"sheet metal"	0.0475953
tattoo	0.047557
keyword	0.0475049
breast	0.0474123
excrement	0.0471766
fetus	0.0471309
"piece of furniture"	0.0467866
"life form"	0.0466865
"lymph node"	0.0466849
gizmo	0.0466797
"heart valve"	0.0466276
cartridge	0.0466008
beany	0.0465935
Pottery	0.0465383
trash	0.046449
"circuit board"	0.0461661
Tooth	0.0461501
metal	0.0460538
"odds and ends"	0.0459689
neuron	0.0459568
ear	0.0458564
shard	0.0458168
lump	0.0457034
accessory	0.0456085
mattress	0.0454529
bedding	0.0454301
tongue	0.0454276
password	0.0451637
"cigarette butt"	0.0451278
recorder	0.045051
canister	0.0449731
syringe	0.044762
doll	0.0447179
"chemical agent"	0.0446789
scalp	0.0446235
retina	0.0445188
treasure	0.0444658
cornea	0.0444466
fiber	0.0443779
perfume	0.0443533
"land mine"	0.0443376
memorabilia	0.0443111
tile	0.0443014
ash	0.0442663
memento	0.0442218
souvenir	0.0442182
characteristic	0.044119
detritus	0.0441083
footwear	0.044079
firearm	0.0440738
derriere	0.0439846
nose	0.0439676
"beer can"	0.0439637
rib	0.0438406
"speech pattern"	0.0438038
"blood cell"	0.0437824
microorganism	0.0437502
feather	0.0437279
candy	0.0437147
fender	0.0437145
syllable	0.0436543
urine	0.0434627
Coin	0.043282
ego	0.0432736
thigh	0.0432266
meat	0.0431217
ammunition	0.0430757
ovary	0.0430577
button	0.0430078
substance	0.0430069
herb	0.0430041
Casket	0.0428995
adjective	0.0427857
shoe	0.0427508
tendon	0.0427505
Grave	0.0426807
"female body"	0.0424622
ordnance	0.0424289
buttock	0.0423932
flotsam	0.0423058
"golf club"	0.0422864
footprint	0.0422701
ingredient	0.0421393
organism	0.0421217
junk	0.0421096
elbow	0.0420578
bead	0.0420226
wiring	0.0420052
critters	0.0420037
eyeglass	0.0419364
lumber	0.041899
apparel	0.0418247
microbe	0.0417191
"motor vehicle"	0.0416184
fruit	0.0415782
pipe	0.0415644
germ	0.0414428
creature	0.0414363
parcel	0.0413926
"subject area"	0.0412989
"nerve cell"	0.0411434
fur	0.0411389
"historical document"	0.0411072
"blood vessel"	0.0410886
artwork	0.0410774
contaminant	0.0410422
lobe	0.0410379
"household appliance"	0.0410338
foodstuff	0.0409821
wheel	0.0409425
baggage	0.0408779
bruise	0.0408714
jaw	0.0408652
veggie	0.0408117
))
("body politic" (desc 1303.3) (sims
"circulatory system"	0.0996182
"digestive system"	0.0792135
"budget debate"	0.0758786
"judicial branch"	0.0713964
"landscape painting"	0.0654755
"eye socket"	0.0645416
subconscious	0.06447
fibula	0.061646
underpinnings	0.0576221
"inner ear"	0.0575844
"network administrator"	0.0567713
"legal code"	0.0551708
citizenry	0.0551061
"legislative branch"	0.0546679
"child welfare agency"	0.0542669
"psychological warfare"	0.0541377
"family unit"	0.0539161
infantrymen	0.0539107
multimillionaires	0.0528944
propagandist	0.0526046
pinkie	0.0524547
"Department of Motor Vehicles"	0.052106
GO.com	0.0519288
"plant life"	0.0503572
eighth-graders	0.050329
nationhood	0.0499704
"arms industry"	0.0494693
PBA	0.0491234
fencer	0.0486394
soliders	0.0486028
"apparel industry"	0.0485514
"Public Service Commission"	0.0484827
"ball club"	0.047705
tibia	0.0476219
"debt market"	0.0475499
"Eastern Seaboard"	0.0474985
femur	0.047343
"hunting ground"	0.0470586
"Department of Environmental Conservation"	0.0466609
retina	0.0462816
"intelligence operation"	0.0461291
vertebra	0.0456496
trope	0.0454721
"bank withdrawal"	0.0451926
rinderpest	0.0451083
withdrawl	0.0450241
"matinee idol"	0.0444947
Encarta	0.0443872
"merchant marine"	0.0442646
"form of government"	0.0441624
"Outer Banks"	0.0440488
"Audubon Society"	0.0440293
"coastal plain"	0.0436962
"Department of Environmental Protection"	0.0436215
expansionism	0.0436204
"army engineer"	0.0436165
"shoulder blade"	0.0435644
"Old World"	0.0435224
"Economic and Social Council"	0.043357
mitochondria	0.0429179
shad	0.0427816
"spin doctor"	0.0425112
OS/@	0.0424667
"defense contractor"	0.0422794
playlist	0.042176
"bond rating"	0.0421263
"middle finger"	0.0421208
improv	0.0419306
steelmaker	0.04171
pharmacologist	0.0415452
"regulatory authority"	0.0414131
"electronic database"	0.0414111
serviceman	0.0412603
casualness	0.0411493
kneecap	0.0410557
sternum	0.0410536
vaulter	0.0409499
cornea	0.0409316
"Service Employees International Union"	0.0408807
"tax collector"	0.0406916
zoologist	0.0406354
occupier	0.0404346
"Ma Bell"	0.0403753
"digestive tract"	0.040209
jurisprudence	0.0400881
weekender	0.0400337
))
("body temperature" (desc 3613.46) (sims
"blood sugar"	0.218925
"heart rate"	0.21284
"blood pressure"	0.197744
respiration	0.147402
"bank rate"	0.14278
"relative humidity"	0.127503
temperature	0.125373
"borrowing cost"	0.116284
"air pressure"	0.115564
IQ	0.108204
"noise level"	0.100195
caseloads	0.0993944
"gas price"	0.0985089
cholesterol	0.0979107
"fertility rate"	0.0972455
"selling price"	0.0963476
voltage	0.0952789
"body weight"	0.0937953
"occupancy rate"	0.0930893
"water level"	0.0915057
"mortgage rate"	0.0910412
"water table"	0.0891829
homocysteine	0.0881463
"poverty rate"	0.0860492
enrolment	0.0852103
"take-home pay"	0.0847929
"bond price"	0.0846083
"funds rate"	0.0824217
"operating cost"	0.0817693
"key rate"	0.081284
"insurance premium"	0.0800529
"marketing cost"	0.0796501
"rate of inflation"	0.0794392
"production cost"	0.0786532
"life expectancy"	0.0785248
"retail price"	0.078282
"death rate"	0.0781865
"mortality rate"	0.0778786
metabolism	0.0774923
"producer price"	0.0773119
STI	0.0772418
humidity	0.0768313
"asset value"	0.0768233
birthrate	0.0767403
"Producer Price Index"	0.076124
"birth rate"	0.0760719
joblessness	0.0759784
"truck sale"	0.0758667
"aircraft order"	0.075393
heartbeat	0.0746371
"standard of living"	0.0736411
"phone bill"	0.0735374
"crime rate"	0.0730475
"operating expenses"	0.0727547
"labor cost"	0.0726449
"electric bill"	0.0723227
C-section	0.072318
"retail price index"	0.072003
brightness	0.0714946
"bankruptcy filing"	0.0704279
"reaction time"	0.070414
density	0.0703792
"inflation rate"	0.0703737
ridership	0.0701219
"cost structure"	0.0698776
"cost of living"	0.0693578
"discount rate"	0.0693315
"seating capacity"	0.0692499
"high temperature"	0.0692441
velocity	0.0689049
"factory order"	0.0687641
"retirement age"	0.0682517
enrollment	0.0681763
"futures price"	0.067857
intake	0.0676223
glucose	0.0665446
incidence	0.0661134
"production ceiling"	0.0656998
"tax rate"	0.0655335
"tax income"	0.065313
"pretax profit"	0.0651838
fertility	0.0644531
indices	0.0642619
"bond rating"	0.0641685
"Straits Times Index"	0.0641073
"interest expense"	0.0640627
LDL	0.0638818
lifespan	0.063581
dosage	0.0631867
precipitation	0.0631065
"tax bracket"	0.0629066
deductibles	0.0627888
"flow rate"	0.0627612
"medicare payment"	0.0625877
"admission price"	0.062541
Fares	0.0625012
pulse	0.0624608
"turnover rate"	0.0624188
"elephant population"	0.0623788
"center of gravity"	0.0618982
CPI	0.061433
homeownership	0.061393
"trade barrier"	0.0613144
viewership	0.0612844
threshhold	0.0612096
"test score"	0.0612082
"Nikkei Stock Average"	0.0608314
delinquency	0.0602403
"pay rate"	0.0602292
Nikkei	0.0601586
"oil price"	0.0597365
"order book"	0.0596102
"sea level"	0.0595918
"gasoline tax"	0.0595678
PSA	0.0595472
"unemployment rate"	0.0593278
"biological clock"	0.0590768
radioactivity	0.0589205
"Philippine Stock Exchange Index"	0.0583404
millionth	0.0578043
testosterone	0.0576079
"Commonwealth Bank"	0.0573962
"New Zealand dollar"	0.0573551
alertness	0.0572208
breathing	0.0571167
self-esteem	0.0569659
"consumer price index"	0.0568748
"cancer death"	0.0568715
"voter turnout"	0.0566979
"vehicle sale"	0.0565997
"bid price"	0.0562012
salinity	0.0561185
usage	0.0559784
"export sale"	0.0557597
"earning per share"	0.0552363
"market penetration"	0.0551115
"bus fare"	0.0548998
mortality	0.0547994
"batting average"	0.0545264
"population density"	0.0544539
amplitude	0.054381
"personal income"	0.0543483
"national income"	0.0543028
"dividend yield"	0.0542668
"CAC @@"	0.0540605
weightings	0.053822
"hair follicle"	0.0536885
"Dow Jones Industrial Average"	0.0536744
thermometer	0.0535069
added-value	0.0534701
"exchange rate"	0.0533654
altitude	0.0533316
TAXES	0.0531098
HDL	0.0528672
occupancy	0.0528034
"vacancy rate"	0.0527388
"FTSE @@@"	0.0525409
"trading activity"	0.0522254
telomeres	0.0522155
"brain wave"	0.0520756
capitalisation	0.0520389
"average cost"	0.0519797
caseload	0.0519347
"purchase price"	0.0519064
"oil production"	0.0518274
"consumption tax"	0.0513174
"property tax"	0.0512761
horsepower	0.0512642
"gross national product"	0.0510605
"dollar amount"	0.0507304
HSI	0.0503967
"Tokyo Stock Price Index"	0.0502438
"capital expenditure"	0.0502368
"Official Development Assistance"	0.0501658
"entrance fee"	0.049819
"service charge"	0.0497321
rpm	0.0496102
clotting	0.0495593
"tax liability"	0.0493368
"goose bumps"	0.0490705
airfare	0.0490023
workload	0.0489242
"share price"	0.0488712
"budget deficit"	0.048792
"Bovespa Index"	0.0485107
PPI	0.0483045
outlay	0.0481411
"digestive tract"	0.0479495
"money supply"	0.0477692
self-worth	0.0473764
elevation	0.0472203
libido	0.0472186
"home sale"	0.047162
morale	0.0471248
"Canadian dollar"	0.0470973
"steel production"	0.0470746
ovulation	0.0469226
yielding	0.0468637
"market value"	0.0468426
ebullience	0.0468374
))
("body type" (desc 1815.19) (sims
"skin color"	0.109715
"social class"	0.0835732
"blood type"	0.0705582
temperament	0.069099
"house guest"	0.0669002
"piece of music"	0.0624377
"body weight"	0.061698
molar	0.0589431
great-grandchildren	0.0585105
"social system"	0.0583732
selflessness	0.0568073
"line of work"	0.0541536
"geographic area"	0.0539009
"speech pattern"	0.0537049
"mental state"	0.0534533
timbre	0.0530331
ethnicity	0.052257
"free spirit"	0.0520243
mammogram	0.0519614
hairstyle	0.0515515
mindset	0.0511904
wingspan	0.0504455
tact	0.050366
"gold miner"	0.0502753
"body part"	0.0494781
IQ	0.0492973
"zip code"	0.0486369
derring-do	0.0485615
colour	0.0483849
"point in time"	0.0482911
"Texas Democrats"	0.0476774
"good looks"	0.0474232
"marital status"	0.0472594
stiffness	0.0470697
"registration number"	0.0469945
"frame of mind"	0.0469563
persuasion	0.0464621
"blue whale"	0.0462819
"reaction time"	0.0453879
subgroup	0.0453489
"credit history"	0.0449175
intellect	0.0448745
physique	0.0448348
"break of serve"	0.0446607
knucklehead	0.0446551
"architectural style"	0.0446271
"Cy Young Awards"	0.0445696
"school of thought"	0.0443467
"heart valve"	0.0443446
"creature comforts"	0.0443276
"guardian angel"	0.043693
"life style"	0.0435519
versatility	0.0433564
"fellow traveler"	0.0432576
Tonys	0.0432307
mind-set	0.043207
skydiver	0.0430595
Chinese-Indonesians	0.0430176
"leisure time"	0.0428365
subspecies	0.0426623
partygoer	0.042496
test-takers	0.0424678
stepchildren	0.0424662
"No. @s"	0.0424358
"social group"	0.0419162
moxie	0.0414039
"sex appeal"	0.0413748
"religious belief"	0.0413386
"vocal cord"	0.0412953
aptitude	0.041076
dosage	0.0410759
prong	0.0410411
"Honda Civic"	0.0410246
"frame of reference"	0.0408909
"vantage point"	0.0407895
houseplant	0.0404638
stamina	0.0402531
Latvians	0.0402278
"Social Security number"	0.0402145
radiance	0.0401954
"day of rest"	0.040177
"Ryder Cups"	0.0401015
wideouts	0.0400305
witticism	0.0400068
))
("body weight" (desc 3583.82) (sims
"blood sugar"	0.149609
"heart rate"	0.10911
"blood pressure"	0.105878
"national income"	0.101941
"take-home pay"	0.0992926
intake	0.0958268
caseload	0.0941332
"body temperature"	0.0937953
"air pressure"	0.0827537
respiration	0.0821426
caseloads	0.0803401
"purchase price"	0.0796299
"fertility rate"	0.079543
"elephant population"	0.079031
"operating budget"	0.0777566
GNP	0.0759814
"gross national product"	0.075237
"operating expenses"	0.0750761
"selling price"	0.0741673
"land area"	0.0724154
ridership	0.070476
cholesterol	0.0704312
dosage	0.0701571
calory	0.0691243
"asset value"	0.0685796
"life expectancy"	0.0676478
capitalisation	0.067046
workload	0.0668287
"book value"	0.0668177
weighting	0.0650995
"operating cost"	0.0648197
mortality	0.0646854
"gross income"	0.064246
"personal income"	0.0635324
"center of gravity"	0.0633566
"market penetration"	0.0622504
"production cost"	0.0619394
"body type"	0.061698
metabolism	0.0616755
enrollee	0.0615998
"labor force"	0.0608792
"market order"	0.0605826
workforce	0.060472
"electric bill"	0.060171
lifespan	0.0597468
"skin color"	0.0595992
breathing	0.0595651
snowpack	0.0595503
"communicable disease"	0.0593279
"surface area"	0.0592813
"cost structure"	0.0585967
mammogram	0.0584336
"steel production"	0.0584301
"oil production"	0.0584091
"investment portfolio"	0.0583787
"balanced diet"	0.0582958
"bank rate"	0.0571683
"emotional state"	0.0570786
density	0.0568716
"capital expenditure"	0.0565206
"debt load"	0.0564778
"Social Security benefit"	0.0552643
"South Carolinian"	0.054863
"flow rate"	0.054765
indebtedness	0.054612
inactivity	0.0544734
"mortality rate"	0.0542508
"export sale"	0.0540721
"rate of growth"	0.053805
probationer	0.0535698
"mortgage rate"	0.053456
calorie	0.0534121
"cultivated land"	0.0532984
"noise level"	0.0530248
capitalization	0.0528889
fertility	0.0527761
"standard of living"	0.0522627
LDL	0.0518546
dieters	0.0518494
GDP	0.0516522
"wage earner"	0.051649
"tax bill"	0.0516281
"turnover rate"	0.0515627
"foot traffic"	0.051429
"voter turnout"	0.0514248
"insurance premium"	0.0512932
glucose	0.0512929
precipitation	0.0510572
"population density"	0.0510099
self-esteem	0.0507725
"labor cost"	0.0504017
"truck sale"	0.0503956
"production ceiling"	0.0502395
girth	0.0502299
pregnancy	0.0501341
"trading activity"	0.0501329
"high blood pressure"	0.0501094
"list price"	0.0499726
outlay	0.049942
"marital status"	0.0499128
"service charge"	0.049889
HDL	0.0495965
"vehicle sale"	0.0493644
"blood type"	0.0489398
"drainage area"	0.0489127
emission	0.0488881
"marketing cost"	0.0488835
"gross domestic product"	0.0488383
wattage	0.0486331
"electric current"	0.0485517
"dividend yield"	0.048372
susceptibility	0.0483579
"mental state"	0.048345
"biological clock"	0.0483313
"working day"	0.048265
"sticker price"	0.0481687
voltage	0.0480243
longevity	0.0479036
"retail price"	0.0478942
"tax base"	0.0478104
"dollar amount"	0.0478081
"pay rate"	0.0476979
"muscle cell"	0.047372
eyelid	0.0473242
"quality of life"	0.0471945
"ownership stake"	0.047066
usage	0.0470276
enrollment	0.046978
exerciser	0.0469641
jawbone	0.046859
"pretax profit"	0.0467745
"occupancy rate"	0.046749
"geographic area"	0.0467386
sixth-graders	0.0465134
test-takers	0.0464149
"gas price"	0.0463171
pancreas	0.046239
houseplant	0.0462055
"brain wave"	0.0461471
"tax income"	0.0459871
"bond rating"	0.0459005
schoolwork	0.0456914
"death rate"	0.0456661
"medical history"	0.0455465
"birth rate"	0.0454436
subsidence	0.0454369
"market value"	0.0454033
"hot flash"	0.0453256
fruitcake	0.0453243
"low-fat diet"	0.0451722
"heroin addiction"	0.0451497
"sense of balance"	0.0450905
"rate of exchange"	0.0450232
"medicare payment"	0.0449815
"retirement age"	0.0449598
"heart muscle"	0.044948
Obesity	0.0449407
"viewing audience"	0.04494
incidence	0.044859
velocity	0.0447825
humidity	0.0445424
"burden of proof"	0.0444803
"life style"	0.0444777
"due date"	0.0444009
Tonnage	0.0442806
stanchion	0.0442299
"profit margin"	0.0441433
enrolment	0.0441353
"admission price"	0.0441217
IQ	0.0439737
"management fee"	0.043693
perspiration	0.0436831
fourth-graders	0.0436275
"credit report"	0.0435617
"Earth's surface"	0.0435315
heft	0.0434926
clotting	0.043447
individuality	0.0434319
NPLs	0.043348
walk-through	0.0431038
"poverty rate"	0.0429282
liquidity	0.042791
"seating capacity"	0.042716
"tax revenue"	0.0425931
absenteeism	0.0424513
"offer price"	0.0424269
"internal organ"	0.0424122
predisposition	0.0423163
prevalence	0.0422914
workday	0.0422544
"food supply"	0.0422138
"tax liability"	0.0421506
"vacancy rate"	0.0421325
diabetic	0.0421038
rigidity	0.0420458
"blood cell"	0.0420281
illiterate	0.0419484
playlist	0.0419359
bhang	0.041847
"interest expense"	0.0417674
))
(bodybuilder (desc 2324.05) (sims
"volleyball player"	0.116693
weightlifter	0.115704
vaulter	0.108251
"chess player"	0.104077
rower	0.0915684
marathoner	0.090665
"pole vaulter"	0.0899456
"altar boy"	0.0890926
stuntman	0.0877097
"big leaguer"	0.0862469
"good person"	0.0854292
swimmer	0.0850291
gymnast	0.0832591
wrestler	0.0823181
deejays	0.0817015
cager	0.0809998
"hockey player"	0.0807902
skateboarder	0.0805115
lifter	0.0793341
sprinter	0.078228
bodybuilding	0.0776698
Atlantan	0.0768825
"Navy Seal"	0.0764166
"track star"	0.0763323
"baseball player"	0.0762553
Olympian	0.0753443
"North Carolinian"	0.0747444
"tennis player"	0.0742568
"Rhodes Scholar"	0.073932
"movie star"	0.0731157
prizefighter	0.072972
"Christine Arron"	0.0723589
fencer	0.0720239
"prison guard"	0.0709415
sportscaster	0.0707864
passerby	0.0703272
snowboarder	0.0701834
miler	0.0699023
"medical student"	0.0692771
paraplegic	0.0689782
daredevil	0.0689373
"rich man"	0.0686737
"press agent"	0.0686697
"test pilot"	0.0684137
cheerleader	0.0676359
"ballet dancer"	0.0672446
concertgoers	0.0663782
cyclist	0.0662427
Kurd	0.0661579
"free spirit"	0.0660803
"football player"	0.066079
sportswriters	0.0660508
"guitar player"	0.0658384
"fashion model"	0.0657172
racer	0.0652031
linguist	0.0650456
"little leaguer"	0.0650248
Dominican	0.0649794
pallbearer	0.0649453
"eye doctor"	0.0648259
lifer	0.0646665
"disc jockey"	0.0645623
"film star"	0.0642558
"physical therapist"	0.0640987
"letter carrier"	0.0636378
segregationist	0.0632459
rappers	0.0632136
ballerina	0.0629891
"film producer"	0.0629081
jogger	0.0626701
kayaker	0.0625337
"basketball player"	0.0624315
"belly dancer"	0.0623556
tomboy	0.0623301
masseur	0.0620859
Bostonian	0.0618696
beekeeper	0.0615452
"civil engineer"	0.0614193
"science teacher"	0.0610379
"registered nurse"	0.0608782
"Andreea Raducan"	0.0604912
paddler	0.0602071
diver	0.0600785
"eagle scout"	0.0600632
CPA	0.05988
outdoorsman	0.0597588
Canty	0.0596555
waiter	0.0596147
timid	0.0595444
"school teacher"	0.0594019
scoutmaster	0.0590789
"costume designer"	0.0590621
"sports fan"	0.0589904
whiner	0.0589773
Husseini	0.0589683
monarchist	0.0584183
fifth-grader	0.0581278
medic	0.0580489
speller	0.0579325
biker	0.0577151
groundskeeper	0.0576985
overachiever	0.0576637
"Black Panther"	0.0576233
Scrooge	0.0574904
optimist	0.0572313
learner	0.0571633
puppeteer	0.0568099
jock	0.0567871
"battering ram"	0.0567395
"Pro Bowler"	0.0566772
skater	0.0564047
doormen	0.0563589
"art student"	0.056316
entertainer	0.0562402
choirboy	0.0560365
singer-songwriters	0.0559947
genealogist	0.0559615
"Li Xuemei"	0.0559012
doer	0.0558258
lifeguard	0.055754
"social worker"	0.055749
mailman	0.0556351
motorcyclists	0.0555574
juggler	0.0555354
multimillionaires	0.0554485
"mountain climber"	0.0553866
thrower	0.0553779
"music critic"	0.055252
megastar	0.0552023
sportswriter	0.0551382
stripper	0.0550053
physiologist	0.0550005
Deacon	0.0549657
drinker	0.0548852
claimer	0.0548036
beautician	0.0547808
supermodels	0.0544811
gynecologist	0.0544563
"risk taker"	0.0543547
bartender	0.0542613
sadist	0.0542355
"Alberto Tomba"	0.0541193
"world traveler"	0.0540529
student-athletes	0.0539719
bricklayer	0.05395
double-teamed	0.0538404
dieters	0.0538347
"Bobby Rahal"	0.053827
restorer	0.0537672
"math teacher"	0.0537383
"guardian angel"	0.0537035
"white person"	0.0535428
talker	0.053538
seminarian	0.0535375
missionary	0.0533837
"character actor"	0.0533386
"No. @s"	0.0533325
kayakers	0.0532057
"sparring partner"	0.053184
Klansmen	0.0531448
Beatle	0.0531316
choreographer	0.0530227
drummer	0.0529839
"spark plug"	0.0529157
fisherman	0.0528918
fireman	0.0527962
bystander	0.0527703
procrastinator	0.0527618
cellist	0.0527327
firefighter	0.0526017
songwriter	0.0525964
survivalist	0.0525845
"opera star"	0.0525214
"union representative"	0.0525028
shuttlers	0.0524399
"Larry Holmes"	0.0524312
sportsmen	0.0523522
trapper	0.0523327
"good guy"	0.0522964
"real estate broker"	0.0522388
academician	0.0522091
"rock star"	0.0522082
triathlete	0.052152
ballplayer	0.0518713
perfectionist	0.0518527
"heart surgeon"	0.0518154
"interior decorator"	0.0517517
skier	0.0516973
curmudgeon	0.0516044
valedictorian	0.0514303
puncher	0.0514281
welder	0.0513923
"stock trader"	0.0512894
wimp	0.0511753
"prima donna"	0.0511511
"young person"	0.0509637
"folk singer"	0.0508465
crooner	0.0507886
first-rounder	0.0506777
"Martina Navratilova"	0.0505886
))
(bodybuilding (desc 2196.7) (sims
weightlifting	0.134045
archery	0.125276
pentathlon	0.107204
judo	0.107185
"figure skating"	0.107161
taekwondo	0.105648
luge	0.105329
Gymnastics	0.100657
triathlon	0.100035
halfpipe	0.0995258
weight-loss	0.0993601
skeet	0.098455
volleyball	0.0951431
Wushu	0.0944344
"ice hockey"	0.092578
bobsled	0.0902367
"table tennis"	0.0891706
cycling	0.0864849
boxing	0.0864547
"junior lightweight"	0.0857696
chess	0.084929
badminton	0.0846808
slam-dunk	0.0830108
wrestling	0.0828246
karaoke	0.0820286
"Fed Cup"	0.0811194
cruiserweight	0.0810224
bodybuilder	0.0776698
EuroLeague	0.0773682
"Class I"	0.0770555
"water polo"	0.0767494
"track and field"	0.0761848
rowing	0.0750004
"hammer throw"	0.0746642
flyweight	0.0745388
biathlon	0.0744721
SDH	0.0732896
snowboard	0.073199
"professional basketball"	0.0710726
fide	0.070665
Skating	0.0696076
"Pan Pacific"	0.0688501
sumo	0.0685152
"junior middleweight"	0.0681528
boating	0.067547
Heptathlon	0.0673318
epee	0.0672235
"U.S. Senior Open"	0.0670406
aerial	0.0670342
takraw	0.0663083
"Uber Cup"	0.0656381
"mountain climbing"	0.0654927
mountaineering	0.0651049
"Southwest Conference"	0.0650451
snooker	0.0650278
"National Invitation Tournament"	0.0646253
"horse racing"	0.0640506
"World League"	0.0637943
"Pan Ams"	0.0635189
aerobics	0.0632736
"U.S. Amateur"	0.0627037
"field hockey"	0.0625208
"Central Division"	0.0609
bullfighting	0.0606117
karate	0.0605399
"American Football League"	0.0604508
fencing	0.0600245
"sex hormone"	0.0597656
"spelling bee"	0.0594902
Sleepwalking	0.0594695
"Home Run Derby"	0.0593855
"basketball league"	0.0593741
"match play"	0.0592937
ephedra	0.0592442
T-@@	0.0588653
handball	0.0585811
AFL	0.0585433
"International Boxing Federation"	0.0585222
parachuting	0.0584682
"Funny Car"	0.0577573
"NFC East"	0.0573774
scuba	0.0572563
Bowling	0.0570584
"ballroom dancing"	0.0569787
anti-inflammatory	0.056775
"ski jump"	0.05671
lifesaving	0.0565592
Yachting	0.056442
featherweight	0.0560468
eight-week	0.0558418
modeling	0.0558415
"morning sickness"	0.0557837
skateboarding	0.0556957
"National League West"	0.0555778
"weather forecasting"	0.0549738
"European Cup"	0.0549309
surfing	0.054474
decontamination	0.0544595
"high jump"	0.0544359
"League Cup"	0.0542658
aquatics	0.0542628
pre-Olympic	0.0539772
"AFC Central"	0.0539627
"long jump"	0.0537888
"cross country"	0.0537292
"horizontal bar"	0.0534391
"Championship Auto Racing Teams"	0.0534124
"Princess Mononoke"	0.053004
"folk song"	0.0526711
Chemo	0.0526397
bantamweight	0.0525792
rodeo	0.0524658
angling	0.0523645
"professional golf"	0.0523378
"martial art"	0.0522831
softball	0.0521106
constructor	0.0521076
steeplechase	0.0518596
"Big West"	0.0517147
"relay race"	0.0512935
curling	0.0510436
"AFC West"	0.0510415
Ironman	0.0510406
"electronic warfare"	0.0509217
"Top Fuel"	0.0509084
"shot put"	0.0508352
five-week	0.0507949
under-@@	0.0505394
"junior welterweight"	0.0504065
"NFC West"	0.0502796
androstenedione	0.0497737
Rugby	0.0497576
"light heavyweight"	0.0496051
"Special Olympics"	0.0495915
Super-G	0.0493453
"public speaking"	0.0492453
"AL Central"	0.0491325
calligraphy	0.048976
"ice skating"	0.04884
"Federation Cup"	0.0485985
"pole vault"	0.0483603
"Atlantic Coast Conference"	0.0482847
Swimwear	0.0482767
WAC	0.0481908
"data communication"	0.0478072
"SEC East"	0.0477193
netball	0.047322
"Eastern Division"	0.0472382
"Sudirman Cup"	0.0471199
forbidden	0.0470991
"fox hunting"	0.0470814
"Good Housekeeping"	0.0469871
"Big Sky"	0.0468608
"basketball season"	0.0467856
"Italian League"	0.0467473
"professional football"	0.0466927
cager	0.0466242
"general knowledge"	0.0463527
creatine	0.0463036
Encarta	0.0462434
javelin	0.0461167
"College World Series"	0.0460322
dressage	0.0455833
"NASCAR Winston Cup"	0.0454396
"Dirty Bird"	0.0452344
"Thomas Cup"	0.0451611
Bundesliga	0.0450935
"fire control"	0.0449171
"Western Athletic Conference"	0.0448547
"folk dance"	0.044661
suffrage	0.0444133
"life style"	0.044329
acrobatics	0.0443068
antioxidant	0.0442972
"World Championship"	0.0442536
decathlon	0.0441572
"ski jumping"	0.0441501
"Bausch &AMP; Lomb"	0.0439885
"human growth hormone"	0.0439313
Epogen	0.0438362
Motorsports	0.0437577
nevirapine	0.0437226
"UNIX operating system"	0.0437083
KIMCHI	0.0436659
Pac-@@	0.0435699
preppy	0.0435672
TCM	0.0435368
ATP	0.0435331
Zionism	0.0435085
"Italian Cup"	0.0435065
Gaming	0.0434419
"Ge Fei"	0.0432971
"Big Sky Conference"	0.0428747
"folk music"	0.0427639
Unix	0.0427588
"Skate America"	0.0426366
"MLS Cup"	0.0425216
K@	0.0424165
"skin care"	0.042316
glaucoma	0.0422914
))
(bodyguard (desc 28051.7) (sims
"security guard"	0.138843
"police officer"	0.110853
chauffeur	0.101131
policemen	0.0987601
aide	0.096744
policeman	0.095073
guard	0.0891687
soldier	0.0884962
"prison guard"	0.08703
officer	0.0864272
trooper	0.08409
assailant	0.0837247
housekeeper	0.081648
"army officer"	0.0809656
photographer	0.0806893
gunmen	0.0804688
associate	0.0791402
agent	0.0787308
commando	0.0785457
"family member"	0.0775311
escort	0.077297
nanny	0.076416
Lieutenant	0.0763507
adviser	0.0754623
entourage	0.0753556
attacker	0.075124
"FBI agent"	0.0746888
servant	0.0744996
"military officer"	0.0744235
assistant	0.0741609
confidant	0.0740847
guardsmen	0.0740386
"cabinet minister"	0.0730963
"staff member"	0.0730611
gunman	0.0729882
handler	0.0717762
"federal agent"	0.0717606
lawyer	0.0715235
assassin	0.0703199
schoolmate	0.0702436
police	0.0700129
clerk	0.069553
"crew member"	0.069514
driver	0.068965
nurse	0.0689121
robber	0.0681311
"security force"	0.0679724
supporter	0.0677626
Cop	0.067553
companion	0.067232
detective	0.0670358
goon	0.0667287
maid	0.0659503
advisor	0.0659221
militiamen	0.0658954
paratrooper	0.0655691
accomplice	0.065532
occupant	0.0650349
staffer	0.0649258
publicist	0.0648451
girlfriend	0.0648396
militant	0.0642759
operative	0.0642429
"truck driver"	0.0642334
diplomat	0.0642278
counselor	0.0638878
cameraman	0.0638521
"bus driver"	0.0636894
co-worker	0.0634615
deputy	0.0634482
"campaign worker"	0.0630242
lobbyist	0.0623844
relative	0.0620533
journalist	0.0620083
"press secretary"	0.0619807
personnel	0.061806
attendant	0.0617802
waiter	0.0614867
bandit	0.0613406
marshal	0.061247
interpreter	0.0609437
wrestler	0.0609162
priest	0.0607586
mercenary	0.0607514
reporter	0.0607224
brother-in-law	0.0605011
marine	0.0604042
kidnapper	0.0603691
prostitute	0.0601611
sniper	0.0600527
informant	0.0599698
translator	0.0599463
troop	0.0597112
"altar boy"	0.0595978
firefighter	0.0594079
thug	0.0593974
teacher	0.0593851
caddie	0.0589625
accountant	0.0587642
lifeguard	0.0585987
classmate	0.0585086
commander	0.0583869
Attorney	0.0583412
Sergeant	0.058053
volunteer	0.0579194
fighter	0.0579019
wife	0.0578106
paralegal	0.0576129
"social worker"	0.0573792
"Bruce Lindsey"	0.0573704
bookkeeper	0.0572443
soliders	0.0570957
tribesmen	0.0570877
informer	0.0569628
bartender	0.0569318
suspect	0.0568906
engineer	0.056838
protester	0.0565865
"military man"	0.0564598
brother	0.0564027
cousin	0.0563674
follower	0.056097
niece	0.0559969
sailor	0.0559778
"drug dealer"	0.0557865
terrorist	0.0557777
"public defender"	0.0556815
Klansmen	0.0556222
trainer	0.0554425
pilot	0.0554257
employee	0.0554217
medic	0.0553028
instructor	0.0552178
crewmen	0.0552131
"military police"	0.0551826
firefighters	0.0550853
doctor	0.0550344
confidante	0.0550187
technician	0.0547738
boyfriend	0.0545625
vigilante	0.0545573
motorcade	0.0544744
comrade	0.0543728
civilian	0.0542045
receptionist	0.0541464
banker	0.0541169
Colonel	0.0539943
appointee	0.053994
roommate	0.0539394
nephew	0.0538505
waitress	0.0537804
guerrilla	0.0537336
passerby	0.05372
gangster	0.0537145
supervisor	0.0537139
firemen	0.0536837
"white man"	0.0534969
"police detective"	0.0534357
secretary	0.0531545
tutor	0.0531292
speechwriter	0.0530286
militiaman	0.0529419
serviceman	0.0529344
peacekeeper	0.0527354
constable	0.0526894
passenger	0.052676
bystander	0.0525645
handyman	0.0525322
helper	0.0525191
wounded	0.0524383
grandson	0.0523196
"young man"	0.0523124
Gendarme	0.0520541
passers-by	0.0519812
"civil servant"	0.0519618
"black man"	0.051903
paramedic	0.0518291
consultant	0.0518017
crony	0.0516073
"private investigator"	0.0515274
"intelligence officer"	0.0514085
armymen	0.0513732
"chief of staff"	0.0510167
acquaintance	0.0509785
"intelligence agent"	0.0508931
Ambulance	0.0507823
Hijacker	0.0507782
investigator	0.050699
cadet	0.0505906
fiance	0.0505147
servicemen	0.0504985
teen-ager	0.0504511
"flight attendant"	0.0503986
inspector	0.0502075
"Vernon Jordan"	0.050063
husband	0.0499885
bureaucrat	0.0499145
extremist	0.0497973
reservist	0.0497758
Davidians	0.049775
))
(bodysuit (desc 1996.16) (sims
bodysuits	0.165744
"pants suit"	0.1177
"cocktail dress"	0.116397
pantsuit	0.111908
"mink coat"	0.111775
"life vest"	0.108339
swimsuit	0.107223
brassiere	0.104706
jumpsuit	0.104082
smock	0.102737
legging	0.102036
bellbottoms	0.101141
cardigan	0.0993024
sheath	0.0985689
"evening bag"	0.0984856
"feather boa"	0.0977903
pullover	0.0975573
leotards	0.0959669
"polo shirt"	0.0954225
corduroy	0.0950237
tunic	0.0945096
"dress uniform"	0.092151
headband	0.0899299
sweatshirt	0.0899136
vest	0.0894991
tights	0.0894122
bandana	0.0890316
"ski mask"	0.0889842
gown	0.088739
Poncho	0.0883492
caftan	0.0879035
miniskirt	0.087731
"leather jacket"	0.0876303
wristband	0.085893
mitten	0.0847138
"ball gown"	0.0836677
armband	0.0817445
"sweat pants"	0.0817309
"boxing glove"	0.0813701
"bowler hat"	0.0812445
coverall	0.0811319
bustier	0.0808915
turban	0.0806266
"prayer shawl"	0.0805159
wader	0.0804388
"fur coat"	0.0801506
bodice	0.08012
"dress shirt"	0.0790895
"running shoe"	0.0788596
turtleneck	0.0788081
nightgown	0.0781842
fedora	0.0772738
"wedding dress"	0.0770061
overcoat	0.0757723
camisole	0.0756562
"evening dress"	0.0755907
"neck brace"	0.0751544
slicker	0.0751499
tux	0.0750134
frock	0.0738026
raincoat	0.0737979
halter	0.0733824
yarmulke	0.0727055
blinder	0.0720599
"evening gown"	0.0716991
headgear	0.071681
BOA	0.0708408
Sari	0.070562
"hot pants"	0.070477
vestment	0.0696552
waistcoat	0.0695916
"hard hat"	0.0693661
STETSON	0.0693048
parka	0.0692778
blouse	0.0690412
"cowboy hat"	0.0689919
bathrobe	0.0687131
tiara	0.0686903
"business suit"	0.0685982
"felt hat"	0.0684143
"rubber boot"	0.0681883
Bonnet	0.0681791
"wedding gown"	0.0679126
sloop	0.0675804
knickers	0.067269
"baseball cap"	0.0660513
"body armor"	0.0659445
toupee	0.065694
"life jacket"	0.065339
undershirt	0.0651403
miniskirts	0.0647828
"face mask"	0.0646926
knapsack	0.0644858
Speedo	0.063751
"bathing suit"	0.0631397
skullcap	0.0630501
"stiletto heel"	0.062853
"bow tie"	0.0622471
suspender	0.0619585
blackface	0.0619266
"top hat"	0.0619061
stocking	0.0617703
"Lincoln Town Car"	0.0616985
slacks	0.0616502
mink	0.0615415
Cape	0.0613935
"safety belt"	0.0613149
bikini	0.0612108
Tutu	0.0611463
"name tag"	0.0608729
blinker	0.0608401
satin	0.0607926
girdle	0.0602731
bandanna	0.0602632
taffeta	0.0601244
gardenia	0.0594434
eyeshadow	0.0588824
loincloth	0.05885
bluejeans	0.0586639
wig	0.0586589
hosiery	0.0585076
"military uniform"	0.0584999
Pantsuits	0.0582927
beret	0.0577623
"nail polish"	0.0574726
chiffon	0.0569017
shorts	0.0568838
"sports jacket"	0.0568592
getup	0.0567945
capris	0.0567614
"cowboy boot"	0.0567518
pantyhose	0.0566382
panty	0.0561089
"combat boot"	0.0560706
livery	0.055824
spacesuit	0.0555645
finery	0.0554028
corset	0.0553333
"oxygen mask"	0.0553028
sarong	0.0552398
"straw hat"	0.0550004
"hush puppy"	0.0542622
"roller skate"	0.0542172
earplugs	0.0542092
pompadour	0.0541874
"guardian angel"	0.0537083
windbreaker	0.0536539
Formica	0.0535934
spandex	0.0535572
prosthesis	0.0535252
pajama	0.0533098
Play-Doh	0.0532371
"Star of David"	0.0531814
"piece of cloth"	0.0530803
gloves	0.0528602
sandal	0.0524457
tuxedo	0.0523972
visor	0.0523641
cockatoo	0.0522749
pinstripes	0.0522562
Sash	0.0521567
pants	0.0521544
G-string	0.0520426
regalia	0.0517789
curler	0.0516232
apron	0.0515825
playpen	0.0515615
bib	0.051362
kimono	0.0513293
garb	0.0511514
TPA	0.0510611
headset	0.0507939
slipper	0.0507553
bra	0.0507213
earphone	0.0506476
splotch	0.0504813
"mushroom cloud"	0.050446
hearse	0.0504334
sequin	0.0502346
trouser	0.0500663
nylon	0.0500387
gunk	0.0499055
shawl	0.0497028
pansy	0.0495188
pillowcase	0.0492591
teapot	0.0492549
barrette	0.0491091
brooch	0.0489314
headdress	0.0489286
streamer	0.0488542
stitching	0.0483822
"lower class"	0.0482832
fishnet	0.0481963
Mylar	0.0479625
"bulletproof vest"	0.0478446
timepiece	0.0478026
pigtail	0.0477975
"life preserver"	0.04777
kilt	0.0477496
Thong	0.0473788
))
(bodysuits (desc 1240.56) (sims
bodysuit	0.165744
"mink coat"	0.102103
swimsuit	0.0826693
"engagement ring"	0.0817221
bluejeans	0.0785776
leotards	0.0770115
earplugs	0.0730434
"wedding dress"	0.0714226
"name tag"	0.0701544
"body armor"	0.0694806
"fur coat"	0.0690608
"dress uniform"	0.0677411
"boxing glove"	0.0665725
yarmulke	0.0657823
"running shoe"	0.0655592
talkie	0.0647936
"Proposition @"	0.0646634
sarong	0.0645542
gizmo	0.0643765
Sari	0.0643088
"contact lense"	0.0640533
Speedo	0.0640488
miniskirt	0.0637827
loincloth	0.0637175
andro	0.0636191
livery	0.06304
vestment	0.0629772
blinker	0.0626728
carrying	0.0626212
"neck brace"	0.0624356
"wedding gown"	0.0622465
"Swan Lake"	0.0622354
blinder	0.0620143
headdress	0.0617711
kimono	0.0615363
prosthesis	0.061488
beany	0.0612609
pantsuit	0.0612504
"life vest"	0.0610801
"stiletto heel"	0.0608949
thalidomide	0.0608779
"sport shirt"	0.0603595
latke	0.059456
miniskirts	0.059253
vending	0.0592525
tiara	0.0592355
"bathing suit"	0.058695
Heptathlon	0.0582017
"wedding ring"	0.0580586
Rezulin	0.057637
blackface	0.0576254
ordination	0.0572505
knickers	0.0570438
"Star of David"	0.057001
cloning	0.0568601
Fez	0.0567957
withdrawl	0.0566254
Play-Doh	0.0561917
headgear	0.0556091
"guardian angel"	0.0555193
"life jacket"	0.05543
smock	0.0553241
"nail polish"	0.0552648
brassiere	0.0552386
gadgetry	0.0550514
"Development Zone"	0.0550146
raincoat	0.0548478
frock	0.0546235
stiletto	0.0546208
stents	0.0544705
bandanna	0.0543214
e-BOOKS	0.053935
"safety belt"	0.0538629
underpants	0.0538105
"Confederations Cup"	0.053308
clear-cutting	0.0531037
CFCs	0.0530122
panty	0.0529342
nightgown	0.0526925
interment	0.0524712
"fox hunting"	0.0523689
hairdo	0.0523182
bandana	0.0518105
"piano lesson"	0.0518059
G-string	0.051254
unionism	0.0511024
toupee	0.0510592
Thong	0.050596
"face mask"	0.0505314
enlistee	0.0504081
Pantsuits	0.0503547
absinthe	0.0503545
RU-@@@	0.0502499
goggles	0.0501774
tights	0.050067
Posting	0.0497368
"first match point"	0.0496138
iMacs	0.049609
mammogram	0.0495324
"Ford Focus"	0.0495094
"rubber band"	0.0493499
"beach towel"	0.0491192
tunic	0.0491182
apparatchiks	0.0490207
"Susanthika Jayasinghe"	0.0488538
VFA	0.0487992
"surgical procedure"	0.0487923
TPA	0.0486791
Poncho	0.0485514
ILGO	0.0483403
"ball gown"	0.0482671
pompadour	0.0481796
"suspension system"	0.048098
irons	0.0478564
"Michelle Smith"	0.0478182
legging	0.047779
divestment	0.0477598
"Peter Pan"	0.04765
homebuyers	0.0476102
androstenedione	0.0475989
felling	0.0475858
Shays-Meehan	0.0475745
pillowcase	0.047464
ADP	0.0474451
bustier	0.047422
"witness stand"	0.047342
obit	0.047249
importing	0.0470911
Walkman	0.0470485
second-fastest	0.046967
earpiece	0.0469277
kwanza	0.0469177
"electrical device"	0.0469028
"breast implant"	0.0467152
"baseball glove"	0.046685
"street clothes"	0.0466567
"hard hat"	0.0465315
chaebols	0.0464716
"computer graphics"	0.0464495
snowmobile	0.0464158
one-China	0.046338
Tutu	0.0462589
stationing	0.045945
"senior class"	0.0459145
slicker	0.0458501
caftan	0.0458386
watercraft	0.045785
wristband	0.0456121
turban	0.0455029
"temporary worker"	0.0454978
Barrionuevo	0.0453875
refereeing	0.045339
teach-in	0.0453074
irradiation	0.0452533
"National League for Democracy"	0.0452302
hairpiece	0.045225
third-round	0.045113
gimmickry	0.0449124
tux	0.0448747
"Chemical Weapons Convention"	0.0447235
"air filter"	0.0446595
"foot traffic"	0.0445928
hand-me-down	0.0440124
STETSON	0.0440034
"Vision @@@@"	0.04398
"National Missile Defense"	0.0439632
"deficit spending"	0.0439078
"presidential term"	0.0438746
"Playstation II"	0.0437166
"tax hike"	0.0437109
"loan application"	0.0436882
"Orange Order"	0.0435084
"pole vault"	0.0434783
creatine	0.0434289
GHB	0.04333
speller	0.0432742
"double entendre"	0.0432708
skullcap	0.0432514
pompom	0.0432169
undergarment	0.0430464
DDT	0.0429739
Relenza	0.0429069
"growth hormone"	0.0428969
"art teacher"	0.0428484
"stage name"	0.0427933
"commercial enterprise"	0.0427354
supercomputers	0.042677
"laser beam"	0.0426595
waistcoat	0.0425503
"saber rattling"	0.0424635
"Di Canio"	0.0424612
poodle	0.0424483
"evening dress"	0.0424425
pajama	0.0423147
sending	0.04229
"Group of Rio"	0.042287
"prayer shawl"	0.0422831
duster	0.0422653
coaster	0.0422626
"cowboy hat"	0.0422496
))
(Boehner (desc 2612.98) (sims
Hayworth	0.191491
Armey	0.152655
Linder	0.138522
Engel	0.126059
"Majority Whip Tom DeLay"	0.121412
Gephardt	0.118435
Chenoweth	0.118368
Spitzer	0.117849
Eappens	0.117754
Lott	0.116637
Hyde	0.115333
Hastert	0.112809
Nickles	0.109128
Verney	0.10883
Gingrich	0.108718
Barr	0.10783
Markey	0.107077
Nethercutt	0.105866
Harshbarger	0.105384
Doggett	0.104824
Rylander	0.10421
Alarcon	0.103557
Largent	0.102806
Kyl	0.102034
Bateman	0.101642
Mauro	0.0996159
Yazdi	0.0984468
Garcetti	0.0980193
Shays-Meehan	0.098003
"Jim Nicholson"	0.0977705
"Paula Corbin Jones"	0.0977169
Ashcroft	0.0959912
Vallone	0.0958991
Soong	0.0956849
D'Amato	0.094247
Santorum	0.0938519
Rosenblatt	0.0932699
Verniero	0.0931702
Kesri	0.0931169
Harris-Lewis	0.0924579
SHUSTER	0.0924114
Torricelli	0.0920628
Engler	0.0919546
Livingston	0.0918335
Vacco	0.0911516
Reimer	0.0900164
Coia	0.0895807
Shays	0.0893062
"Dick Armey"	0.0892569
Bragman	0.0886085
Dunn	0.0884077
Lockyer	0.0878427
McConnell	0.0867362
"De Klerk"	0.086308
Bliley	0.0862233
Zacarias	0.0862147
Carnahan	0.0860689
Cornyn	0.085874
Caddell	0.0857943
Borodin	0.0855735
Maslyukov	0.0824138
Quayle	0.0824112
Gibbons	0.0823529
"Tom DeLay"	0.0822274
Condit	0.0815086
Gosper	0.0810317
Ruehe	0.0806007
Bisek	0.0805376
Vasile	0.0798707
Fagan	0.0796487
McCollum	0.0795347
Kennelly	0.0795242
Khalil	0.079331
Zucker	0.0793255
Archer	0.0788459
"Sheldon Silver"	0.0787936
Warnaco	0.0787277
"Joseph Bruno"	0.078648
Ortega	0.0784338
Schell	0.0783512
Masire	0.0783104
Rossello	0.0782665
Izetbegovic	0.0781306
McCall	0.078118
Rothenberg	0.0780951
Berenson	0.0778979
Pagones	0.0778444
Edelstein	0.0776072
ACLU	0.0774636
Ershad	0.0774193
Rogan	0.0769704
Bustamante	0.0769668
Nikitin	0.0768752
Gullikson	0.0767864
Caldera	0.0764697
Koskinen	0.0761685
Pelosi	0.076044
Manley	0.0758765
Harkin	0.0757898
Rosenbaum	0.0756756
Zeroual	0.0756589
Weizman	0.0756181
Tevanian	0.0755607
Alderson	0.075552
Fordice	0.0753605
"John Boehner"	0.0753593
Barrett	0.0752425
Giordano	0.0752371
Bartlett	0.075185
Hoffa	0.075086
"U.S. Defense Department"	0.0749735
Katzenberg	0.0747767
Koirala	0.0747233
"Food Lion"	0.0742763
Hollings	0.0740642
Havel	0.074002
Lowey	0.0739418
Dodik	0.0739296
Engelberg	0.0738728
RIAA	0.0738346
Gorton	0.0738272
Ferraro	0.0737973
"Eliot Spitzer"	0.0737809
Carollo	0.0737069
Gilman	0.0735405
Thayer	0.0735208
Bunning	0.073513
Intergraph	0.0734135
Feingold	0.0731693
Djukanovic	0.0728799
Andreessen	0.0727965
"Newt Gingrich"	0.0727892
Coburn	0.0726963
"Robert Livingston"	0.0725885
Musgrove	0.0725525
Elhage	0.0725159
Kaunda	0.0723806
Madrazo	0.0723237
AOC	0.0721404
SSB	0.0719773
Maskhadov	0.0719177
Shevardnadze	0.0718996
DERSHOWITZ	0.0718416
frist	0.0718365
Lafontaine	0.0718124
al-Hariri	0.0717888
Lowery	0.0716973
"House Majority Whip Tom DeLay"	0.0716138
Schumer	0.0714935
Tran	0.0714634
Chafee	0.0714321
Icahn	0.0713496
Feinstein	0.0713055
Hagelin	0.0711437
Ruthardt	0.0710431
Choate	0.070993
Rais	0.0708718
"Russian Foreign Ministry"	0.0707738
Ivester	0.0707005
Arias	0.0706409
Klerk	0.0706211
Milbury	0.0704907
Bakaly	0.0704049
Skuratov	0.0701324
Rubenstein	0.0701181
Wolfson	0.070036
Weldon	0.0699967
"Dennis Hastert"	0.0699651
Bruno	0.0699485
"Al Fayed"	0.0696495
"Trent Lott"	0.0696437
"William Weld"	0.0696302
"Bill Archer"	0.0696111
Megawati	0.0695288
Megret	0.0695198
Bulatovic	0.0695137
EEOC	0.0692209
Donohue	0.0691566
Rugova	0.0691377
Goossen	0.0689798
Mahuad	0.0689572
Upton	0.0689522
Reilly	0.0688095
Djindjic	0.0687943
Ammiano	0.0687239
Scharping	0.0686915
Florio	0.0685644
FTC	0.0685581
Brock	0.0684978
Finkel	0.0683994
R-Miss.	0.0682093
Walden	0.0681904
Rosenthal	0.0681383
Voinovich	0.0680577
"Paula Jones"	0.067785
Cooke	0.0676045
Blackthorne	0.0674426
Yoo	0.0674304
Hallinan	0.067364
Leavitt	0.0672734
))
(Boeing (desc 69630.7) (sims
"Boeing Co."	0.235922
Airbus	0.192233
"Lockheed Martin"	0.18896
Raytheon	0.167016
Intel	0.162572
MD-@@	0.161093
Lockheed	0.160343
IBM	0.158107
airline	0.157572
"McDonnell Douglas"	0.157481
Compaq	0.151819
Motorola	0.150705
jetliner	0.149858
"General Electric"	0.148244
Microsoft	0.142728
TWA	0.138319
"General Motors"	0.13825
GM	0.136635
Coca-Cola	0.135255
Ford	0.133563
aircraft	0.132765
Cisco	0.131656
Kodak	0.131279
"Bell Atlantic"	0.131216
company	0.126915
"Airbus Industrie"	0.12541
jet	0.125205
airliner	0.124665
Exxon	0.124483
Hewlett-Packard	0.124478
"Philip Morris"	0.124379
Alcoa	0.123873
Monsanto	0.122049
BellSouth	0.121876
Pfizer	0.121492
TRW	0.119906
Dupont	0.118737
DaimlerChrysler	0.118627
Honeywell	0.118538
Chevron	0.117993
Dell	0.117701
plane	0.116904
carrier	0.115915
"Ford Motor Co."	0.114823
"Airbus A@@@"	0.114495
A@@@	0.114159
"Procter &AMP; Gamble"	0.112832
A@@@-@@@	0.111996
airplane	0.111567
"MCI WorldCom"	0.110703
delta	0.110514
"Time Warner"	0.110499
NIKE	0.110036
Ge	0.108519
Merck	0.107713
DC-@@	0.107399
Lucent	0.106683
Disney	0.106428
"Boeing company"	0.106137
Embraer	0.106086
"Lucent Technologies"	0.105988
"America West"	0.105956
Swissair	0.105655
Xerox	0.105647
WorldCom	0.105288
Chrysler	0.105054
AOL	0.104919
Mattel	0.104917
DC-@	0.104393
"American Home Products"	0.10437
Sony	0.103927
"Air Force"	0.103885
"Home Depot"	0.103685
Citigroup	0.103625
EgyptAir	0.103327
"General Motors Corp."	0.102729
"America Online"	0.102648
TYCO	0.10237
"British Airways"	0.101836
"Johnson &AMP; Johnson"	0.101774
"American Airlines"	0.101574
"Air France"	0.101539
Gillette	0.101249
Volkswagen	0.101219
F-@@	0.101208
Aetna	0.100629
A-@@@	0.100555
coke	0.100453
"American Express"	0.100215
BMW	0.0995054
oracle	0.0994273
NASA	0.0990974
MCI	0.0984098
firm	0.098272
Nortel	0.0980661
manufacturer	0.0975667
"BP Amoco"	0.0970811
"Lockheed Martin Corp."	0.0968437
"Deutsche Telekom"	0.0968343
"Intel Corp."	0.0965968
Toyota	0.0961914
Verizon	0.0957121
Ericsson	0.0955823
"International Paper"	0.0943362
Hyundai	0.0942961
"US Airways"	0.0942004
automakers	0.0937857
"Alaska Airlines"	0.0936496
SBC	0.0936214
Nissan	0.09329
Unilever	0.0931898
Netscape	0.0931852
"Raytheon Co."	0.093167
EMC	0.0931055
"Microsoft Corp."	0.0928238
Nokia	0.0927016
"Northwest Airlines"	0.0926587
Goodyear	0.092562
corporation	0.0915298
"United Airlines"	0.0913799
Delphi	0.0913458
Pepsico	0.09118
"Pfizer Inc."	0.0908274
Siemens	0.0905508
McKesson	0.0904247
Amazon.com	0.0899837
consortium	0.0899731
Wal-Mart	0.0898468
FAA	0.0897673
HP	0.0894359
UAL	0.0893142
bank	0.0888935
Concorde	0.0888567
"P&AMP;G"	0.0888359
Qualcomm	0.0885243
Yahoo	0.0880689
Sunbeam	0.0880309
Amazon	0.0878863
GTE	0.0877878
Merrill	0.0876764
"General Electric Co."	0.0876352
"Flight @@@"	0.0875161
Qwest	0.0872619
bombardier	0.0872055
Mitsubishi	0.0871377
"Walt Disney Co."	0.0870668
Schwab	0.0870231
BankAmerica	0.0869454
"Merrill Lynch"	0.0869184
BankBoston	0.0866753
"U S West"	0.0866664
"Coca-Cola Co."	0.0863942
"Glaxo Wellcome"	0.0861922
"British Aerospace"	0.085694
"Deutsche Bank"	0.0854971
Daimler-Benz	0.0853239
Enron	0.0850907
"Delta Air Lines"	0.0849161
Warner-Lambert	0.0844531
Texaco	0.0843006
automaker	0.0840847
fleet	0.0840525
Mobil	0.0839345
Viacom	0.0836276
Vodafone	0.0836235
Hasbro	0.0834707
"American Home"	0.0833799
helicopter	0.0832671
ValuJet	0.0832466
"J.P. Morgan"	0.083241
Renault	0.0832386
agency	0.0831374
REVLON	0.0829113
Hughes	0.082532
"Dell Computer Corp."	0.0825069
"Federal Express"	0.082396
"Cisco Systems"	0.082333
"Compaq Computer Corp."	0.0820672
"Dell Computer"	0.0820388
navy	0.0818471
Mannesmann	0.0817994
"United Technologies"	0.0817707
"Pratt &AMP; Whitney"	0.0816277
t	0.0814904
AMR	0.0814739
AIRTRAN	0.0814454
"Texas Instruments"	0.0813093
AlliedSignal	0.0812962
Halliburton	0.0811239
"federal government"	0.0810736
"Bank of America"	0.0808383
ARCO	0.0807842
Alcatel	0.0801774
Lycos	0.080152
RealNetworks	0.0799806
Caterpillar	0.0797317
Citibank	0.0796789
Learjet	0.0793596
Comcast	0.0793369
Reebok	0.0792632
))
("Boeing Co." (desc 13407.5) (sims
Boeing	0.235922
"Lockheed Martin"	0.216842
"Boeing company"	0.169449
"Lockheed Martin Corp."	0.167896
"McDonnell Douglas"	0.161565
Lockheed	0.160511
"Ford Motor Co."	0.159272
"Pfizer Inc."	0.15916
"General Motors Corp."	0.158154
Embraer	0.144949
"General Electric Co."	0.143823
"General Motors"	0.136604
"Intel Corp."	0.135837
Raytheon	0.134468
Pfizer	0.133568
"Raytheon Co."	0.132493
"General Electric"	0.132233
"American Home Products"	0.130386
Motorola	0.128365
"Motorola Inc."	0.12777
"Compaq Computer Corp."	0.125523
"Coca-Cola Co."	0.125493
"Walt Disney Co."	0.123776
"Lucent Technologies"	0.122297
Intel	0.114063
bombardier	0.113773
IBM	0.11341
"Airbus Industrie"	0.112517
Compaq	0.112408
Monsanto	0.111683
Airbus	0.110809
"Microsoft Corp."	0.110806
"Hewlett-Packard Co."	0.110781
Dupont	0.109425
"Philip Morris"	0.107388
"Sony Corp."	0.105251
GM	0.10499
Alcoa	0.10458
"Cisco Systems Inc."	0.103845
Aetna	0.102784
TRW	0.102682
"Con Edison"	0.102438
"Bell Atlantic"	0.101875
Ford	0.101071
Daimler-Benz	0.101034
"SmithKline Beecham"	0.100975
Exxon	0.100819
"Johnson &AMP; Johnson"	0.100613
Enron	0.0998529
Honeywell	0.099787
DaimlerChrysler	0.099779
Denel	0.099751
"Glaxo Wellcome"	0.099563
"MCI WorldCom"	0.0993547
Hewlett-Packard	0.0987852
Volkswagen	0.098497
Novartis	0.0984258
Unilever	0.0979042
ENTREMED	0.0975299
"Legend Group"	0.0974638
"Federal Express"	0.0969608
"American Airlines"	0.0968024
Pepsico	0.0966727
"Verizon Communications"	0.0964377
Texaco	0.0964023
Hasbro	0.0962666
Cisco	0.0958146
"Oracle Corp."	0.09546
"Time Warner Inc."	0.0954041
"Merck &AMP; Co."	0.0952744
automaker	0.0950447
"BP Amoco"	0.0948958
Hyundai	0.0945221
"Pratt &AMP; Whitney"	0.094185
"Sun Microsystems Inc."	0.0937271
"Northwest Airlines"	0.0933352
"Smith &AMP; Wesson"	0.0932566
"Delta Air Lines"	0.0932546
"America Online"	0.0927436
Ericsson	0.0921467
airline	0.0920406
"Warner-Lambert Co."	0.0919884
"Dell Computer Corp."	0.0918002
Nokia	0.0917002
Kodak	0.0910641
NIKE	0.0910232
"United Airlines"	0.090979
"Time Warner"	0.0904785
Mattel	0.0903166
Ge	0.0902992
Viacom	0.0901711
Chrysler	0.0901035
"Netscape Communications Corp."	0.0899274
Alcatel	0.0894512
Verizon	0.0888963
"Deutsche Telekom"	0.0879226
Citigroup	0.0877777
Coca-Cola	0.0876031
"Abbott Laboratories"	0.0874417
Goodyear	0.0871872
"National Transportation Safety Board"	0.0868234
"Cisco Systems"	0.086778
Seagram	0.0867699
BellSouth	0.0865826
oracle	0.0863144
"Sara Lee"	0.0863137
"NEC Corp."	0.0861523
Nortel	0.0860624
"Texas Instruments"	0.0860547
Qualcomm	0.0855123
NEC	0.0854311
WorldCom	0.0852858
consortium	0.0852355
"Con Ed"	0.0849467
"Sun Microsystems"	0.0849014
"IBM Corp."	0.0848095
Chevron	0.0845749
"United Parcel Service"	0.0844495
"Aetna Inc."	0.0844391
Mobil	0.0844247
"Learning Co."	0.0844148
REVLON	0.0843912
BankAmerica	0.0843329
Merck	0.0841676
"British Aerospace"	0.0838087
"Seagram Co."	0.0836763
UAL	0.0833856
Vivendi	0.0829521
"Northeast Utilities"	0.082947
"Network Associates"	0.0828826
"Bristol-Myers Squibb"	0.0828113
Microsoft	0.0827689
"Levi Strauss"	0.0826559
Warner-Lambert	0.0825027
"Dow Corning"	0.0823852
EMC	0.0818421
"Daimlerchrysler AG"	0.0818271
Bertelsmann	0.0817283
MCI	0.0814832
"News Corp."	0.081394
Lucent	0.0812525
"Federated Department Stores"	0.0812045
"Procter &AMP; Gamble"	0.0811836
RealNetworks	0.0811834
"America West"	0.0804582
delta	0.0804058
"Time Inc."	0.0802802
"Hearst Corp."	0.0800949
NASA	0.0800304
"Continental Airlines"	0.0800239
Novell	0.0795277
Seagate	0.0794964
"British Airways"	0.0792662
"Department of Transportation"	0.0791872
Maytag	0.0790951
"America Online Inc."	0.0789848
"American Home"	0.0786333
Xerox	0.0784363
Gillette	0.0782783
"Silicon Graphics"	0.0782387
"Lucent Technologies Inc."	0.0781971
Citicorp	0.0780985
"Pharmacia &AMP; Upjohn"	0.0780266
"Viacom Inc."	0.0779405
"Deutsche Bank"	0.0778673
SBC	0.0777032
"Defense Department"	0.0776819
"UAL Corp."	0.0776418
"Consolidated Edison"	0.0774115
Dell	0.0772185
Sunbeam	0.0771713
Amoco	0.0770609
"EMC Corp."	0.0769224
Genentech	0.0765058
"Softbank Corp."	0.0764869
"Adobe Systems"	0.0764641
"AMR Corp."	0.0762785
"Nortel Networks"	0.0761495
Olivetti	0.0761181
"New York Times Co."	0.0761171
Rolls-Royce	0.0760697
"International Business Machines Corp."	0.0759866
"GTE Corp."	0.075698
"JDS Uniphase"	0.0756198
"Mattel Inc."	0.0755251
Siemens	0.075522
Comcast	0.0753368
CCA	0.0751591
"American Home Products Corp."	0.0750761
"Energy Department"	0.0750197
"Applied Materials"	0.0749316
"Tribune Co."	0.0747672
"R.J Reynolds"	0.0747444
"SBC Communications"	0.0743945
"Global Crossing"	0.074185
"Singapore Airlines"	0.0741832
"Fidelity Investments"	0.0740806
"aerospace giant"	0.0740518
NiSource	0.0739781
"Ford Motor"	0.0738556
))
("Boeing company" (desc 1827.32) (sims
"Boeing Co."	0.169449
"aerospace giant"	0.147707
"Motorola Inc."	0.124424
"Halliburton Co."	0.12101
"Airbus Industrie"	0.120639
"Lockheed Martin"	0.11664
"Dow Jones &AMP; Co."	0.114618
"Levi Strauss &AMP; Co."	0.113213
"McDonnell Douglas"	0.11272
YankeeNets	0.100051
"Hyundai Group"	0.0992139
"Hearst Corporation"	0.0971958
"Enron Corp."	0.0945526
"Wal-Mart Stores Inc."	0.0937263
"National Association of Securities Dealers"	0.0937117
"Symantec Corp."	0.0933205
Dragonair	0.0925923
Healtheon	0.0923761
"BellSouth Corp."	0.0921194
AlliedSignal	0.0916992
"General Electric"	0.0874611
"Lockheed Martin Corp."	0.0839577
Airbus	0.0837756
"Computer Associates"	0.0836684
RealNetworks	0.0825005
"Israeli Foreign Ministry"	0.0819734
"Bristol-Myers Squibb"	0.0817393
Marketspan	0.0815703
"Oracle Corp."	0.0802664
"Lucent Technologies"	0.0794495
"Independent Electoral Commission"	0.0793911
SAirGroup	0.079196
"postmaster general"	0.0790584
"Singapore Airlines"	0.0786381
"English Football Association"	0.0785944
"SBC Communications"	0.0781663
"Gillette Co."	0.0768739
"HBO &AMP; Co."	0.0768419
"New York Times Co."	0.0767404
"auto maker"	0.0766123
"Export-Import Bank"	0.0764687
"CBS Corp."	0.076022
"Cendant Corp."	0.0755843
"American Petroleum Institute"	0.0755082
"Ford Motor Co."	0.0747188
TRW	0.0747159
"National Republican Congressional Committee"	0.0745433
"Northrop Grumman"	0.0741551
"Monsanto Co."	0.073256
"Motion Picture Association of America"	0.0732216
"Lucent Technologies Inc."	0.0730312
"Straits Exchange Foundation"	0.0726953
"Hewlett-Packard Co."	0.0722675
Tenneco	0.0720105
"Black Entertainment Television"	0.0719395
"China Securities Regulatory Commission"	0.0718658
Daimler-Benz	0.0716134
"Knight Ridder"	0.071583
"Mattel Inc."	0.0713343
"Con Ed"	0.0712984
"Silicon Graphics"	0.0712034
Motorola	0.0710728
"Housing Authority"	0.0710551
"National Electoral Commission of Nigeria"	0.0709811
"EMC Corp."	0.0705505
Enron	0.0705355
Westinghouse	0.0703189
"Stacy Dragila"	0.070274
"State Seismological Bureau"	0.070209
Schlumberger	0.0700935
"United Airlines"	0.0696258
"Ministry of International Trade and Industry"	0.0694738
"Hyundai Motor Co."	0.0693774
"Times Co."	0.0691493
"Commission on Elections"	0.0691455
"Health and Human Services Department"	0.0689451
"Pfizer Inc."	0.0688708
"MindSpring Enterprises"	0.0688452
"Salt Lake Organizing Committee"	0.0688101
"Humane Society"	0.0688007
"Northwest Airlines"	0.0683541
"National Awakening Party"	0.0681503
"Viacom Inc."	0.0680934
"Dell Computer Corp."	0.0676978
"General Electric Co."	0.0676724
"Consumer Product Safety Commission"	0.0674025
"National Federation"	0.0673969
Lockheed	0.0672129
"Seagram Co."	0.0671489
"Hughes Electronics Corp."	0.0671084
"CMGI Inc."	0.0669839
"International Business Machines Corp."	0.0669321
bombardier	0.0668982
UNOCAL	0.0666136
"National Transportation Safety Board"	0.0663431
"U.S. Chamber of Commerce"	0.0661455
"Liberty Media"	0.0661091
Alcatel	0.0659374
"American Association of Health Plans"	0.0659004
"National Semiconductor"	0.0657558
"U.S. Agriculture Department"	0.0656049
"Alaska Airlines"	0.0655701
"Ministry of Railways"	0.065453
steelmaker	0.0652445
"Compaq Computer"	0.0651635
"New Korea Party"	0.0650615
"Todd Eldredge"	0.0648591
"House International Relations Committee"	0.0648068
GPU	0.0644553
"British government"	0.0643173
Instinet	0.0641245
Honeywell	0.0640641
"Chevron Corp."	0.0636351
"Independent National Electoral Commission"	0.063633
"Intel Corp."	0.063563
"Times Mirror"	0.0635365
"Raytheon Co."	0.0634215
Citibank	0.0634196
"Chrysler Corp."	0.0633986
"Compaq Computer Corp."	0.0633813
GEC	0.0632956
"Russian Communist Party"	0.0632282
"Badminton Association of Indonesia"	0.0630235
"Freedom Forum"	0.0629764
Aeroflot	0.0628633
"C.J Hunter"	0.0627802
"Nature Conservancy"	0.0624496
"Pratt &AMP; Whitney"	0.062441
"Abbott Laboratories"	0.061917
"Kraft Foods"	0.0619071
Genzyme	0.0617446
"Gulf Air"	0.0612779
LVMH	0.0612076
"Commerce Ministry"	0.0611764
"State Flood Control"	0.0611168
Priceline	0.0608774
"defense contractor"	0.0607835
"Texas Instruments"	0.0606896
"Hughes Electronics"	0.0604307
iXL	0.0603956
"Department of State"	0.0602418
"General Motors Corp."	0.0600881
"National Grid"	0.0600613
"Nortel Networks"	0.0600208
"Democratic Senatorial Campaign Committee"	0.0600119
UNAMET	0.0599429
"Hearst Corp."	0.0598621
"home builder"	0.0597819
Sibneft	0.0596841
"Nuclear Regulatory Commission"	0.0595997
PictureTel	0.0595367
Nestle	0.0594517
"Hong Kong Monetary Authority"	0.0594292
"Diamond Multimedia"	0.0592437
"Kenya African National Union"	0.0592174
"UBS AG"	0.0591964
"Federal Aviation Administration"	0.0591284
"First Union Corp."	0.0591046
"Applied Materials"	0.059045
"Travelers Group"	0.0590298
"Volvo AB"	0.0589916
"Chronicle Publishing"	0.0589757
Halliburton	0.0589275
"Wine Institute"	0.0586629
Loral	0.0584813
"Foreign Affairs Committee"	0.0584806
"computer giant"	0.058343
"Thai Airways International"	0.0582541
"RJR Nabisco"	0.0581977
"Aetna Inc."	0.0581156
"China Youth Development Foundation"	0.0579175
Emulex	0.0578215
"Legend Group"	0.0576553
IAI	0.0575448
"American International Group"	0.0574777
"Bank of America"	0.0574627
"GTE Corp."	0.0574422
"Volkswagen AG"	0.0574356
"Philip Morris"	0.057383
"Livent Inc."	0.0573485
"trade association"	0.0573004
"Microsoft Corp."	0.0571397
AutoNation	0.0569626
AIG	0.0569327
"Defense William Cohen"	0.0569065
"Defense Agency"	0.0569015
CSC	0.0568732
"Senate Commerce Committee"	0.0568528
DrKoop.com	0.056609
peregrine	0.0564949
"Qualcomm Inc."	0.0564495
AHA	0.0564476
"Dell Computer"	0.0563955
Unicom	0.0563786
"Islamic Development Bank"	0.0563428
BNFL	0.0563303
"Sara Lee"	0.0562738
"Siemens AG"	0.0561815
Autodesk	0.0561383
"Dow Chemical"	0.0560814
))
(Boer (desc 1637.46) (sims
"Marc Overmars"	0.132908
"Ronald de Boer"	0.102876
"Clarence Seedorf"	0.101258
"Dennis Bergkamp"	0.0946726
Smokey	0.0887091
Jager	0.0852138
Jong	0.0813636
"Jaap Stam"	0.0786445
Barros	0.0747034
Swardt	0.0744467
Carrera	0.0697909
Almeida	0.0697711
"Phenix City"	0.0696269
"Claudio Lopez"	0.0684599
Bruijn	0.0678185
Fiedler	0.0673893
Borbon	0.066484
Deportivo	0.0662192
Cristina	0.0659622
Maldini	0.0644266
Beckenbauer	0.0644046
Luca	0.0639357
"Miami Fusion"	0.0633776
"Briton Greg Rusedski"	0.0622885
"Hansie Cronje"	0.0616502
Hoya	0.061036
"Frank de Boer"	0.0610085
Serna	0.0604913
Kasparov	0.0603149
Boca	0.0602184
Sundin	0.0601755
"Dallas Burn"	0.0601322
Heredia	0.0601062
lauder	0.0591097
Mello	0.0590881
Edberg	0.0588769
Venecia	0.0586064
OCA	0.0583752
Berasategui	0.0580915
Casas	0.057932
Sautin	0.0578069
"Emmanuel Petit"	0.0573627
Palma	0.0571304
Deane	0.056931
"Los Angeles Galaxy"	0.0561978
Fuente	0.0555574
"American Chanda Rubin"	0.0548557
Moonves	0.0546304
Fay	0.0546225
Oliveira	0.054276
Aquino	0.0542122
pompadour	0.0538837
Saint-Exupery	0.0538239
Susanti	0.0535147
SAL	0.0531491
Ville	0.0522442
Bustamante	0.0522208
Julio	0.0519318
Villar	0.051679
Espinosa	0.0512914
"Patrick Kluivert"	0.0512554
Brasil	0.0511482
"Russian Yevgeny Kafelnikov"	0.051138
"Michael Laudrup"	0.0509181
Cr	0.0508848
Zapata	0.0508347
Banda	0.0503373
Oro	0.0503108
Sandra	0.0502335
Macoris	0.0501518
Guerra	0.0501509
Beauvoir	0.0500556
"Carla Overbeck"	0.049988
Vina	0.049789
Chao	0.0491645
siecle	0.0486843
Lange	0.0485206
Sade	0.048471
"Alan Shearer"	0.048109
"Fung Permadi"	0.0481012
Chardin	0.048042
Olsen	0.0480054
Avila	0.0479545
Mathews	0.0479236
Hersh	0.0479096
Testud	0.0478642
Uighurs	0.047703
Tierney	0.0476362
"Brian McBride"	0.0475258
Arens	0.0473472
velodrome	0.0473098
"Paul Scholes"	0.047273
Nicol	0.047239
Rosset	0.0472183
Schalken	0.047204
Hevesi	0.0471823
Allende	0.0471107
Bierhoff	0.0470496
Gifford	0.0469828
Laperriere	0.0467871
Klerk	0.0467815
Wiggins	0.0466084
"Mark James"	0.0465068
"Phoenix Mercury"	0.0464509
"Dale Murphy"	0.046044
Gilmour	0.0459119
Bergkamp	0.0458496
Glanville	0.0457623
"Ajax Amsterdam"	0.0457488
spikers	0.0456122
Rocha	0.0454892
Sidot	0.0454078
"Tony Adams"	0.045297
Leavitt	0.045108
Turgeon	0.0450781
Woolley	0.0448874
Puente	0.0447086
Salemme	0.0446603
Sorensen	0.0445871
"Washington Mystics"	0.0445529
Dias	0.044489
Larsson	0.0444183
"John McEnroe"	0.0442608
Gardiner	0.0442341
crewmembers	0.044134
Raoux	0.0440696
"Sabine Appelmans"	0.0440368
Dunga	0.0439674
McManus	0.0438746
Witt	0.0437213
Keane	0.0434749
"Renzo Furlan"	0.0433941
Capps	0.0433486
Rothschild	0.0433149
Jansher	0.0431472
Okada	0.0431394
Pearce	0.0427864
"Juergen Klinsmann"	0.0427724
"Luis Figo"	0.0427601
Garza	0.0427224
Rousseau	0.0426766
rios	0.0426467
"New National Party"	0.0426179
"Gheorghe Hagi"	0.042598
"Sarah Pitkowski"	0.0425269
Peca	0.0424948
"San Jose Sharks"	0.0424798
Gustafsson	0.042463
"Deep Blue"	0.042408
"Minas Gerais"	0.042373
Chafee	0.0423638
Burgos	0.0423462
Rueter	0.0422922
"M. Douglas Ivester"	0.042248
Fuentes	0.0422402
"Arnaud Clement"	0.0421372
"Guangdong Tigers"	0.0420842
"Guillaume Raoux"	0.0420564
"Lothar Matthaeus"	0.0419762
Snead	0.0417241
Pu	0.0417191
Smyth	0.0417001
Renta	0.0416698
Gama	0.0416303
Rankin	0.0416114
Guerin	0.0416106
Balboa	0.0415437
"San Cristobal"	0.0415207
Sugiyama	0.0414584
"Seibu Lions"	0.0414246
Cabrera	0.0413773
McLeod	0.0412518
"Svetlana Khorkina"	0.0412199
"Stefan Edberg"	0.0411883
cager	0.0411336
"Marcelo Filippini"	0.0411136
bailiff	0.0410769
Monahan	0.0410641
Alcorn	0.0410603
"Sun Wen"	0.0410596
Klinsmann	0.041029
"Mariano Puerta"	0.04101
"Adam Deadmarsh"	0.040873
Qu	0.040824
"Derian Hatcher"	0.040796
"CHARLOTTE STING"	0.0407346
Sampaio	0.0406473
"Dave Checketts"	0.0405868
Chai	0.0405496
reverend	0.0404352
Milbury	0.0404223
Graziani	0.0403912
Terps	0.0403055
Renteria	0.0401324
Kerik	0.0401179
"Dejan Savicevic"	0.0400805
CASS	0.0400669
Triomphe	0.0400313
Serra	0.0400013
))
(Boesak (desc 1792.02) (sims
Hiett	0.183973
Giacchetto	0.181314
Nikitin	0.172627
Trie	0.151564
Mikhailov	0.148146
Berenson	0.147714
Lazarenko	0.143897
Kazhegeldin	0.140955
Kimeses	0.140568
Karbaschi	0.135792
"Russell Peeler"	0.135678
Druckenmiller	0.133994
Livoti	0.133263
Kiareldeen	0.132022
Abernathy	0.131142
Papon	0.127238
Hofer	0.126237
Montiel	0.125097
Blackthorne	0.124781
Whitacre	0.122386
Swango	0.120887
"Maturino Resendiz"	0.120617
Craxi	0.120573
Carruth	0.120509
Capano	0.118533
Lileikis	0.117625
Gantamirov	0.116978
Yoo	0.116714
Hirschfeld	0.116482
Kodikian	0.116279
Khalil	0.115913
Gusinsky	0.11512
LeFave	0.114872
Priebke	0.113738
Neulander	0.113171
Nkabinde	0.111999
Chmura	0.111524
Haouari	0.111209
Tarver	0.110662
Einhorn	0.109372
Meskini	0.108358
Faulder	0.106532
Bruder	0.105939
Gauthe	0.104948
Shulman	0.104785
Siripongs	0.104581
Espinoza	0.103985
Elhage	0.10392
Liao	0.103614
"El Hage"	0.103541
Merlino	0.102876
Hage	0.102499
Bove	0.102381
Haughey	0.101804
Espinosa	0.101717
Espy	0.100686
Kovacevic	0.100556
Agca	0.0999296
Barrionuevo	0.0998847
Borodin	0.0998107
Sakic	0.0989032
Hensley	0.0983423
Bakaly	0.0977043
Soliah	0.0969803
Kalejs	0.0969765
Laudor	0.0969624
Faget	0.0968217
Nathaniel	0.0963695
Hsia	0.0963442
Hubbell	0.0963422
Schweitzer	0.0959781
Gotti	0.0952564
Sheinbein	0.0949339
Trantino	0.0946266
Coia	0.0939025
Pippig	0.0938815
Kambanda	0.0938374
Hamid	0.0937578
Akayesu	0.0933623
"Ruiz Massieu"	0.0931728
Reimer	0.0931666
McGinn	0.0929348
Mehmet	0.0928333
Ntakirutimana	0.092139
Quackenbush	0.0919976
Sebaggala	0.0918474
Markhasev	0.091665
Mitnick	0.0915457
Callaghan	0.0915235
Gutman	0.0911023
Shipman	0.0910488
Martorano	0.0903191
Vasquez	0.0903153
Deri	0.0900726
Imperatori	0.0897467
Lacresha	0.089687
Mudge	0.0894447
Natale	0.0893235
Drabinsky	0.088982
Mease	0.0887129
Schiffer	0.088664
Kimes	0.0873706
McDougal	0.0869437
Ruelas	0.0868726
Shayler	0.0864607
Tomba	0.0863784
Lipstadt	0.08637
Baugh	0.0862582
Ntuyahaga	0.0862169
Dunbar	0.0857757
Gritz	0.0855448
Schwarz	0.0853044
Berlusconi	0.0852548
Ashrawi	0.0849843
Jelisic	0.0846887
Alves	0.0846886
Garza	0.0843404
Zarkin	0.0842887
Romanowski	0.0841874
"Susan McDougal"	0.0840317
Stayner	0.0837726
Manbar	0.0833219
Naumann	0.0824841
Slaney	0.0823451
Botha	0.0822519
"Cary Stayner"	0.082173
Pagones	0.08209
Bhutto	0.0817335
Kagalovsky	0.081725
Mokhehle	0.081695
Frankel	0.0815446
Arizmendi	0.0813848
Virenque	0.0812615
Winkler	0.0812484
Sherrill	0.0811796
Basayev	0.0810805
Suarez	0.0808706
Jenoff	0.0808284
Wiese	0.0806808
Fagan	0.0806512
McKinney	0.0805516
"Louise Woodward"	0.0799096
Mukora	0.0798682
Salemme	0.0797573
"Richard Ashby"	0.0796314
Demjanjuk	0.0795747
Skakel	0.0795251
Karr	0.0794997
Abu-Jamal	0.0790301
Astacio	0.0788169
Brownlee	0.0786865
Murr	0.0786767
Marinovich	0.0783448
Walser	0.0783262
Nebiolo	0.0776439
Kaczynski	0.0775858
Rao	0.077107
Harris-Lewis	0.0769429
Echegaray	0.0768943
Nasrin	0.0767666
Schaeuble	0.0766925
Piggie	0.0766293
"Raul Salinas"	0.0766186
Baumhammers	0.0764492
Perelman	0.076409
"Michael Skakel"	0.0763501
"Laurent Fabius"	0.0762156
Baucus	0.0761486
BURNHAM	0.0759702
Robison	0.0759681
"Di Canio"	0.0759112
hale	0.0756734
McWilliams	0.0755552
Pollard	0.0754183
KEVORKIAN	0.0752866
"Albert Pirro"	0.075237
Cusack	0.0751755
D'Amico	0.0750689
Ibrahim	0.0749709
Haney	0.0748376
Hanna	0.074305
McDermott	0.0741556
Fortier	0.0741436
looper	0.073903
Kaunda	0.0737982
Imelda	0.0735905
Obeid	0.0735139
Maradona	0.0734972
Sotomayor	0.0734603
KNU	0.0734202
"Martin Frankel"	0.0733829
Cianci	0.0732551
Maag	0.0732525
Kehoe	0.0730537
Gosper	0.0728828
Valenzuela	0.0727819
Koirala	0.0725135
McDougals	0.0724388
Marcos	0.0723377
Cisneros	0.0722195
))
(BofA (desc 6706.79) (sims
BankAmerica	0.255265
Norwest	0.238346
"Bank of America"	0.222116
BankBoston	0.193186
"First Union"	0.183154
"Wells Fargo"	0.178026
"Bankers Trust"	0.163595
ARCO	0.155826
Daimler	0.154566
"Thermo Electron"	0.152743
NationsBank	0.146883
UBS	0.145079
Lilco	0.143428
"U.S. Trust"	0.139408
McKesson	0.137986
"BankAmerica Corp."	0.136486
"Times Mirror"	0.13621
NORTHROP	0.136172
Cendant	0.134007
RJR	0.132357
"RJR Nabisco"	0.130591
"U S West"	0.128964
"Nippon Credit"	0.126929
"Y&AMP;R"	0.123616
TYCO	0.123209
Citigroup	0.123158
Providian	0.12205
"Deutsche Bank"	0.121913
BOC	0.121116
Merrill	0.120867
"Bankers Trust Corp."	0.120767
Schwab	0.119457
Halliburton	0.119361
"Time Warner"	0.11911
"Niagara Mohawk"	0.118364
GPU	0.118338
Chrysler	0.118197
Mannesmann	0.116861
SmithKline	0.11653
Warnaco	0.116516
Warner-Lambert	0.116479
Honeywell	0.115801
"HBO &AMP; Co."	0.115272
NatWest	0.115163
Sunbeam	0.114873
Citibank	0.114652
AutoNation	0.114567
"Waste Management"	0.114392
Humana	0.113309
Airtouch	0.113226
Emulex	0.112263
Tenneco	0.112259
Seagate	0.112168
"Societe Generale"	0.112135
ENTERGY	0.111884
Avondale	0.11176
Mobil	0.110356
CUC	0.110055
Qwest	0.110043
"KCP&AMP;L"	0.109934
Fingerhut	0.109335
"MCI WorldCom"	0.109232
Raytheon	0.109127
"Chase Manhattan"	0.10873
"Atlantic Richfield"	0.108648
Chevron	0.108553
Starwood	0.108511
Citicorp	0.108374
MACROMEDIA	0.108038
Barclays	0.107992
Ciena	0.107759
"Telecom Italia"	0.107727
Litton	0.107712
ascend	0.107607
Aetna	0.107594
Livent	0.107516
Monsanto	0.107335
Comsat	0.107202
Genzyme	0.107077
Ameritech	0.106613
"Bell Atlantic"	0.106534
PLDT	0.10633
"BP Amoco"	0.106105
Seagram	0.105993
AIG	0.105976
MCI	0.105866
WorldCom	0.105523
CCA	0.105497
COLTEC	0.104975
"National Grid"	0.104652
Kodak	0.104427
Enron	0.104357
Amoco	0.104071
Georgia-Pacific	0.103997
VENATOR	0.10347
"Rite Aid"	0.103319
GTE	0.103246
"P&AMP;G"	0.102571
"Bank of New York"	0.102556
REVLON	0.102531
Medtronic	0.102524
Asda	0.102288
Infoseek	0.101919
ExciteAtHome	0.101834
Marketspan	0.10155
HSBC	0.101342
AGL	0.100605
Alltel	0.100579
Petrofina	0.100369
"State Street"	0.100342
Dresdner	0.100303
SGI	0.100116
"Global Crossing"	0.100001
Texaco	0.0998864
"Credit Suisse"	0.0997361
EarthLink	0.0992014
All-Tech	0.0984816
Healtheon	0.0984763
"First Union Corp."	0.0984145
"US Airways"	0.0983005
Genentech	0.0979479
Pairgain	0.0979261
Paribas	0.0978189
ICBC	0.0975966
Viacom	0.0974487
Asarco	0.0973566
Xerox	0.0971795
ALZA	0.0968913
Exxon	0.0967917
Bestfoods	0.0965825
SLOC	0.0964343
IDT	0.0959507
Webvan	0.0958731
"Union Carbide"	0.0957488
"Georgia Power"	0.0956012
"Washington Mutual"	0.0952999
"Times Co."	0.0951875
Daimler-Benz	0.0948417
"Gap Inc."	0.0947914
MetLife	0.0947296
AMR	0.0945765
"Dresdner Bank"	0.0942453
China.com	0.0935748
Mattel	0.0932107
TCI	0.0931856
Biogen	0.0930192
PolyGram	0.0928356
"Times Mirror Co."	0.0924302
"Boston Scientific"	0.0923977
CSX	0.0923323
Verizon	0.0922728
"BankBoston Corp."	0.0922589
SDB	0.0918946
GANNETT	0.0918701
Vodafone	0.0918147
Hancock	0.0916841
SBC	0.0916535
Bertelsmann	0.0915858
ADM	0.091503
Penney	0.0913379
Conrail	0.0912758
Mediaone	0.0911749
"Lockheed Martin"	0.0910257
FPL	0.0909595
EBRD	0.0908175
Volvo	0.0906976
ITT	0.0905205
"Chrysler Corp."	0.0905129
"American Home"	0.0904861
AlliedSignal	0.0904717
"PG&AMP;E"	0.0903814
"Sara Lee"	0.0903566
Sumitomo	0.0901842
"Air Canada"	0.0899365
Ge	0.089877
BellSouth	0.0898389
UAL	0.0895944
"Delta Air Lines"	0.0893814
"Harvard Pilgrim"	0.0891458
"Stride Rite"	0.0891394
EMC	0.0890561
HBOC	0.0888037
CMGI	0.0881914
Intel	0.0880898
GEC	0.0880791
Cerent	0.0880414
DaimlerChrysler	0.0879409
Rhone-Poulenc	0.0878462
Unicom	0.0877585
Alcan	0.0876778
"Cadbury Schweppes"	0.0875877
Goldman	0.0873344
Autodesk	0.087323
Cisco	0.0872456
Compaq	0.0872266
MindSpring	0.0872264
"Ford Motor Company"	0.0871438
Federated	0.0868658
Lycos	0.0867393
"Sprint Corp."	0.0866575
))
(bog (desc 4584.25) (sims
marshland	0.131867
wetlands	0.114604
swamp	0.106593
woodland	0.0983969
Marsh	0.0960639
pasture	0.0942903
orchard	0.0879756
meadow	0.0843868
paddy	0.0752016
parkland	0.0747872
Wetland	0.0734333
Grove	0.0718094
pond	0.0680706
farmland	0.0675319
grassland	0.0665672
ravine	0.0640028
prairie	0.0629422
lagoon	0.0623091
"grazing land"	0.061716
aquifer	0.0594545
hillside	0.0592447
plantation	0.059209
junkyard	0.0567299
"picnic area"	0.0562088
"rain forest"	0.0548965
"ground cover"	0.0547935
tundra	0.0547414
"coastal plain"	0.0544853
cornfield	0.0539267
"cattle ranch"	0.0526255
"coral reef"	0.0521887
footpath	0.0521549
rainforests	0.051542
"body of water"	0.0502155
riverbed	0.0501371
wasteland	0.0500826
waterfall	0.0499658
underbrush	0.0496616
campsite	0.048876
"dairy farm"	0.0488543
"building site"	0.0482696
Creek	0.0475882
groundwater	0.0474297
lowland	0.0473456
vine	0.0470846
paddock	0.047057
campgrounds	0.0463339
shrub	0.0461973
"paddy field"	0.0456325
cliff	0.045246
canyon	0.0449155
culvert	0.0448993
mangrove	0.0446716
estuary	0.0446317
"national park"	0.0444786
"city block"	0.0441477
outhouse	0.0438408
riverbank	0.0435776
Everglades	0.0434399
brook	0.0433441
bayou	0.0431459
seabed	0.0428174
coca	0.0426516
"old growth"	0.0425459
landfill	0.0424516
campground	0.0419866
tannery	0.0419823
inlet	0.0419092
wildflower	0.0419013
shingles	0.0418462
muck	0.0414978
"ground water"	0.0413225
cannery	0.0411802
"blast furnace"	0.0407567
"water table"	0.0406493
redwood	0.0404445
twig	0.0404144
ragweed	0.0402731
waterway	0.0401755
))
(Bogart (desc 4157.74) (sims
Hepburn	0.103621
Costner	0.0881412
Fellini	0.0805303
Gielgud	0.0738322
Cusack	0.0714127
"Jim Carrey"	0.0709989
Zapruder	0.0704665
"John Wayne"	0.0679587
"Jennifer Love Hewitt"	0.0659667
Tracy	0.0652158
Schwarzenegger	0.0639915
"Marlon Brando"	0.0614849
Sheedy	0.0591987
"Clint Eastwood"	0.0590452
Eastwood	0.0587123
Leigh	0.0582458
Braugher	0.058107
Matthau	0.0574229
"Mel Gibson"	0.0573332
"Leonardo DiCaprio"	0.0571604
Carrey	0.0565038
"Burt Reynolds"	0.0563496
"Lethal Weapon"	0.055439
Streep	0.0550011
Scorsese	0.0549231
Bacall	0.054748
"De Niro"	0.0543554
Kidman	0.0541039
Sandler	0.0535179
Grisham	0.0531558
"Henry Fonda"	0.0530878
"Albert Brooks"	0.0525445
"Kevin Costner"	0.0521434
DiCaprio	0.0519425
Olivier	0.0517493
"Gary Cooper"	0.0515445
"Kirk Douglas"	0.0513418
"Bruce Willis"	0.0512706
Hartley	0.0507751
"Cary Grant"	0.0505068
Grammer	0.0503417
Branagh	0.0503332
Applegate	0.0502884
Travolta	0.0501573
"Keanu Reeves"	0.0499761
"Bill Lann Lee"	0.0499294
"Orson Welles"	0.0496994
GERE	0.0496254
MAMET	0.0495089
"Jackie Chan"	0.049493
"Michael Douglas"	0.0492048
"Robert Redford"	0.0492022
Midler	0.04911
"Matt Damon"	0.0489482
Hartman	0.0489407
"Christopher Reeve"	0.0485712
Logue	0.0485434
"Judy Garland"	0.0483499
"Harrison Ford"	0.048305
"David Lynch"	0.04825
McKellen	0.0481529
Kubrick	0.0481004
"Indiana Jones"	0.0480678
"Charlton Heston"	0.0480609
"Arnold Schwarzenegger"	0.047871
Benigni	0.0473977
"Sylvester Stallone"	0.0473031
"Martin Lawrence"	0.0472391
Wigand	0.0472327
Fonda	0.0471987
"Samuel L. Jackson"	0.0471752
"Tom Cruise"	0.0471503
"David Spade"	0.0470861
"Greta Garbo"	0.0467329
Spielberg	0.046732
IMAX	0.0466983
"Wesley Snipes"	0.0465771
Paltrow	0.0465202
bogie	0.0461954
"Julia Roberts"	0.0461736
"Chow Yun-Fat"	0.0461181
"Tom Hanks"	0.0458369
Hoffman	0.045726
"Nicolas Cage"	0.0456032
"Quentin Tarantino"	0.0454608
"Jimmy Stewart"	0.0453918
Harrelson	0.0452862
Chamberlain	0.0450169
"AL PACINO"	0.0447982
"John Waters"	0.0447634
"Matthew Broderick"	0.0446937
"Robin Hood"	0.0446346
Spacey	0.0445384
McDaniel	0.0444847
"Eddie Murphy"	0.0443724
"James Bond"	0.0442628
Coolidge	0.0442097
Nijinsky	0.0440319
"John Leguizamo"	0.0440219
Altman	0.0440126
"Anthony Hopkins"	0.0439806
Affleck	0.0437635
Astaire	0.0436397
Gooding	0.0433855
"Errol Flynn"	0.0433791
"George Clooney"	0.043346
Griffith	0.043245
Coen	0.04321
Tucci	0.0431956
"Richard Dreyfuss"	0.0431147
"Clark Gable"	0.0429958
noir	0.0429254
Sealy	0.0429249
Heyward	0.0429036
Rambo	0.0426761
Willis	0.0422685
Lindbergh	0.0421695
"Jodie Foster"	0.0421483
Kurosawa	0.0420672
Rick	0.0419069
slasher	0.0418999
"Ian McKellen"	0.0418986
"Bill Murray"	0.0418937
Downey	0.0418555
"Robin Williams"	0.0418395
"Dustin Hoffman"	0.0415255
Klebold	0.0414224
Hopkins	0.0414157
"Adam Sandler"	0.0413987
Fiennes	0.0413728
"James Stewart"	0.0413211
Keitel	0.0413052
"Sandra Bullock"	0.0410941
Simons	0.0410111
"Denzel Washington"	0.0409527
"John Travolta"	0.0409523
Beatty	0.0408528
Caray	0.0408487
Hemingway	0.0407755
Guinness	0.0407223
"Spencer Tracy"	0.0405968
"Neil LaBute"	0.0405852
Bening	0.0405711
"Billy Martin"	0.0403792
Chaplin	0.0403397
scriptwriter	0.0403247
superhero	0.0403063
Roberts	0.0402647
Boulez	0.0401083
McDOWELL	0.040052
))
(bogey (desc 32220.9) (sims
birdie	0.424876
double-bogey	0.306113
par	0.238411
putt	0.227155
eagle	0.224542
chip-in	0.163591
hole-in-one	0.161388
three-putted	0.124701
"approach shot"	0.117002
hole	0.110403
par-@s	0.105856
shot	0.104582
tap-in	0.0932074
stroke	0.0799859
"service break"	0.0783331
two-putted	0.0778553
par-@	0.0770497
round	0.0761186
bunker	0.0741592
ace	0.0731823
"field goal"	0.0701441
tee	0.0695881
"No. @@"	0.0673674
"free throw"	0.0664876
nine	0.066192
"sand wedge"	0.0657424
no-decision	0.0644305
fairway	0.0628018
touchdown	0.0627181
shutout	0.0625048
green	0.0624699
foul	0.0624206
interception	0.061593
three-pointers	0.0611834
knockdown	0.0604188
"home run"	0.0589163
wedge	0.058111
Sorenstam	0.0573698
wicket	0.0564308
strikeout	0.0559695
homer	0.0559106
mistake	0.055864
"road game"	0.0556376
Duval	0.0555166
seven	0.0547734
miscue	0.0540073
no-decisions	0.0538849
lap	0.0537869
RBI	0.0531926
error	0.0529917
Six	0.0527959
ball	0.0527169
top-@@	0.0525706
"base runner"	0.0525534
rough	0.05152
inning	0.0513452
triple	0.0510988
"eight points"	0.0509728
"foul shot"	0.0509129
"Super Bowls"	0.0505851
setback	0.0497123
fumble	0.0496522
blunder	0.0495521
"Tiger Woods"	0.0493741
"unearned run"	0.0486465
Mickelson	0.0481305
turnover	0.0480389
injury	0.0476623
playoff	0.0474399
O'Meara	0.0474363
golfer	0.0473571
straight	0.0471269
"fatal accident"	0.0469964
"No. @"	0.0469186
"Jim Furyk"	0.0469179
eight	0.0467689
no-hitter	0.0466718
"earned run"	0.0465298
at-bat	0.0455008
Opens	0.0453637
gaffe	0.0453307
"chip shot"	0.0452907
medal	0.0450348
"grand slam"	0.0446836
jumper	0.0446628
"match point"	0.0445969
dunk	0.0444011
"three homers"	0.0443228
"seeded player"	0.0440646
"two homers"	0.0438381
TDs	0.0435971
Trey	0.0435886
putter	0.0434853
timeouts	0.0433502
"Stanley Cups"	0.0432866
"power play"	0.0432284
knockout	0.0431654
mishap	0.0430423
penalty	0.0429105
"curtain call"	0.0428764
fault	0.0428373
"set point"	0.0420859
leaderboard	0.0420466
outing	0.0418408
"six points"	0.0413234
"close call"	0.0412739
baserunners	0.0412655
"nine points"	0.041106
ejection	0.0410821
concussion	0.041069
"one shot"	0.0410141
overs	0.0407953
showing	0.0404382
doubles	0.0403105
"rate hike"	0.0402157
))
(bogeyman (desc 1562.28) (sims
punchline	0.0832493
"fall guy"	0.0776828
"whipping boy"	0.0774914
"reference point"	0.0766505
"hunting ground"	0.0734043
Centerfold	0.0706563
stinker	0.0689037
"white elephant"	0.0683245
"parlor game"	0.0680622
"smoke screen"	0.0635778
"trump card"	0.059956
aphorism	0.0590871
non-issue	0.0584392
scapegoat	0.0582095
"punching bag"	0.0571946
"guessing game"	0.0560797
curmudgeon	0.0559266
"foster mother"	0.0555222
"NBA All-Star"	0.0554628
"ground cover"	0.0539652
"piece of music"	0.0539402
madman	0.0538968
Truism	0.053676
"top dog"	0.0536224
"heavy hitter"	0.0529785
"Pro Bowler"	0.0529187
"musical group"	0.0526472
whistle-blower	0.0524672
capo	0.0520291
"measuring stick"	0.0519947
mishmash	0.051301
Martian	0.0512841
goofball	0.0512788
"tough guy"	0.0507188
Brazill	0.0501347
canard	0.0500873
"break of serve"	0.0500385
glossary	0.0499468
baserunner	0.0498495
"New Democrat"	0.0497063
bridesmaid	0.0494381
ECN	0.0493518
handicapper	0.0493005
"guardian angel"	0.0490641
"crime wave"	0.0489992
workhorse	0.0489264
bloke	0.0487159
counterculture	0.0485953
buzzword	0.0485477
highflier	0.0484737
Kohn	0.0482533
Trailblazer	0.0479852
"user fee"	0.0478507
doomsday	0.0478014
"vacation spot"	0.0474499
recliner	0.0474458
Bostonian	0.0473397
"eye doctor"	0.0473054
"house guest"	0.0472561
TINDERBOX	0.047246
richer	0.0472452
supplicant	0.0471778
laggard	0.047099
"risk taker"	0.0468699
joker	0.046778
"Ford Focus"	0.0461933
newspaperman	0.0461634
"sparring partner"	0.0460941
bruiser	0.0458707
stepchild	0.0458025
down-and-out	0.0457914
go-round	0.0457425
Merlino	0.0457309
"two @@-year-olds"	0.0455334
player-coach	0.0455126
"Super League"	0.0454168
voyeur	0.0454004
"knockout punch"	0.0453703
"first pitcher"	0.0452338
"naval officer"	0.045174
"hockey coach"	0.044987
"mushroom cloud"	0.0448973
goal-scorer	0.0448032
Shipman	0.0445861
Knick	0.044535
"growth industry"	0.044478
genus	0.0444441
bombshell	0.0443997
interlocutor	0.044324
Braswell	0.0440358
student-athlete	0.043751
laughingstock	0.0436554
zinger	0.0435807
cliffhanger	0.043518
Webcam	0.043492
Mims	0.0433525
guidepost	0.0431864
"reference work"	0.0431489
blob	0.0430516
despot	0.0428946
"power tool"	0.0428679
"police lieutenant"	0.0428284
"credit system"	0.0426392
market-oriented	0.0426107
"blind spot"	0.0425659
first-rounder	0.0424124
plumber	0.0423866
doormat	0.0422747
yardstick	0.0422263
"bowling ball"	0.0421334
"Princess Mononoke"	0.0420675
nightspot	0.0420166
"Ma Bell"	0.0416986
copout	0.0416072
"letter writer"	0.0415479
"waiting game"	0.0415136
fella	0.0415109
"sugar refinery"	0.0414591
minster	0.0414289
patsy	0.0412692
granary	0.0412593
superhero	0.0412023
"line of business"	0.0411477
Faget	0.0411422
"big leaguer"	0.0411067
"base runner"	0.0411024
"black person"	0.0409611
"foreign service officer"	0.0409116
impala	0.0409003
geezer	0.0407849
crowd-pleaser	0.0407381
autocrat	0.0407062
cog	0.0404902
"Cary Stayner"	0.0404606
"safety valve"	0.0404579
worksheet	0.040388
pitchman	0.0403761
plaything	0.0403729
"young person"	0.0402854
hyper	0.0402396
Gorter	0.0401941
jerky	0.0401225
smooch	0.0400956
screamer	0.0400918
moneymaker	0.0400913
Fabius	0.0400832
Kerik	0.040063
conditionalities	0.0400584
Dumpsters	0.0400432
))
(Boggs (desc 4730.46) (sims
"Wade Boggs"	0.153217
Gwynn	0.132457
Canseco	0.132011
Glaus	0.109117
McGwire	0.108477
Ripken	0.106844
"Dave Martinez"	0.104946
Sosa	0.103007
Rolen	0.102057
Knoblauch	0.100605
Thome	0.0995404
Palmeiro	0.0980495
Olerud	0.0970336
"Fred McGriff"	0.0970044
Alomar	0.0956257
Caminiti	0.094225
Brosius	0.092159
Dunston	0.0917971
"Jose Canseco"	0.0914892
"John Valentin"	0.0899821
Alfonzo	0.0893686
Karros	0.0874498
Baines	0.086784
"Bill Mueller"	0.0867061
Vaughn	0.0860769
Erstad	0.085528
Fryman	0.0854877
Higginson	0.0849259
Lankford	0.084239
Daubach	0.0840824
Klesko	0.083734
Valentin	0.0835587
Leyritz	0.0833627
Castilla	0.0830435
Galarraga	0.0830299
Trammell	0.0827873
"Phil Nevin"	0.0827863
McGriff	0.0827816
Veras	0.0826459
"Frank Thomas"	0.0825612
Vidro	0.082531
"Chipper Jones"	0.0822208
"Matt Franco"	0.0817196
"Willie Greene"	0.0809793
Baerga	0.0807424
"Russ Johnson"	0.0803267
Hollandsworth	0.0799671
"Damian Miller"	0.0798608
Rahal	0.0795047
Ordonez	0.0793713
"Paul O'Neill"	0.0788229
Konerko	0.0788217
"Dave Hollins"	0.0785278
Beltre	0.0785042
"Matt Lawton"	0.0784793
Surhoff	0.0784091
Garciaparra	0.0778727
Bonilla	0.0777168
Cedeno	0.0774772
"Eric Karros"	0.0773419
Bagwell	0.077297
"Tony Gwynn"	0.0771856
"Jim Thome"	0.076728
Varitek	0.0764405
"Troy Glaus"	0.0762765
Abreu	0.0761539
Delgado	0.0760286
"Adrian Beltre"	0.0755913
Ramirez	0.0752478
Lofton	0.0752462
Nevin	0.074964
Ledee	0.074953
"David Bell"	0.0744796
"J.T Snow"	0.0744378
"Tino Martinez"	0.0744247
Burks	0.0742576
"Eric Owens"	0.0742046
McLemore	0.0741621
"Jeff Conine"	0.0737514
"Cal Ripken Jr."	0.0737369
"Russ Davis"	0.073713
JOYNER	0.0737039
Cepeda	0.0734869
"Ken Caminiti"	0.0734097
"Rickey Henderson"	0.0733005
Mora	0.0729758
Jeter	0.0729533
"Scott Brosius"	0.0726543
Cameron	0.0726099
Mondesi	0.0724744
"Kevin Jordan"	0.0724371
Benitez	0.0723527
"Cal Ripken"	0.0723282
"Ron Coomer"	0.0723082
Spiers	0.0719844
"Scott Rolen"	0.0717668
"Lou Merloni"	0.0717173
Curtis	0.0716578
"Bernie Williams"	0.0714192
Piazza	0.0709569
Giambi	0.0709463
"Chad Curtis"	0.0709179
"Edgardo Alfonzo"	0.0708633
Buford	0.0708441
"Charlie Hayes"	0.0707176
Agbayani	0.0705874
Zeile	0.0702516
Renteria	0.0701902
Alicea	0.0701024
"Greg Vaughn"	0.0700865
Maris	0.0699845
Brett	0.0698952
Hershiser	0.0698356
Edmonds	0.0697602
Bordick	0.0696216
"John Olerud"	0.0696176
"Vinny Castilla"	0.0693008
"Kevin Young"	0.0692651
Makinen	0.0690538
"Gerald Williams"	0.0689959
Gilkey	0.0688937
Gretzky	0.0688055
"Matt Williams"	0.0686582
Elster	0.0685947
Griffey	0.0683984
"Eric Young"	0.068379
"Bobby Smith"	0.0683388
"Marvin Benard"	0.0680738
"Jose Vidro"	0.0680014
"Will Clark"	0.067891
Grudzielanek	0.0678577
"Tim Salmon"	0.0678394
Tatis	0.0676657
"Todd Zeile"	0.0674985
"Todd Pratt"	0.067404
"Barry Bonds"	0.0673891
Helton	0.0672614
"Eric Chavez"	0.0671233
"Brian Daubach"	0.0668335
Molina	0.0667848
"Quilvio Veras"	0.0666243
"Aaron Boone"	0.0665434
Tejada	0.066434
Ruggiero	0.0663144
"Harold Baines"	0.0661795
Rodriguez	0.0661572
Henderson	0.0661291
Cummings	0.0660827
"John Vander Wal"	0.0660739
"Mark Kotsay"	0.0657752
Furcal	0.0657043
Merloni	0.0655241
"Derrek Lee"	0.0655132
"Wally Joyner"	0.0654332
Segui	0.0653798
Atler	0.0653236
"Mark McGwire"	0.0652424
"Cliff Floyd"	0.0652293
"Travis Lee"	0.06521
Hidalgo	0.0649645
Weinke	0.0647834
"Paul Konerko"	0.0647503
"Joe Girardi"	0.064398
"Geoff Jenkins"	0.0643633
Larkin	0.064293
Batista	0.064238
Sanders	0.0642353
Buhner	0.064108
"Tony Fernandez"	0.0640753
Martinez	0.0640625
"Luis Alicea"	0.0639441
Hundley	0.063863
"Mike Lowell"	0.0637812
"Nomar Garciaparra"	0.0636985
"Todd Helton"	0.0636944
Rivera	0.0636809
O'Neill	0.0635851
Biggio	0.0635713
Posada	0.0635178
"Chili Davis"	0.0634966
Cirillo	0.0634298
"Shawon Dunston"	0.0633893
Butyrskaya	0.0632288
"Neifi Perez"	0.0631269
"Ricky Gutierrez"	0.0631249
"Mark Loretta"	0.0631044
Vinatieri	0.062955
"David Ortiz"	0.0628803
"Robin Ventura"	0.0628429
Lieberthal	0.0628386
Monahan	0.0628345
"Rafael Palmeiro"	0.0627835
"Dave Hansen"	0.0627206
Guerrero	0.0627105
"Kenny Lofton"	0.0625823
"Kevin Stocker"	0.062537
"Darrin Fletcher"	0.0624595
"Adam Kennedy"	0.0624288
"Chris Widger"	0.0624205
Easley	0.0624177
))
(bogie (desc 2235.7) (sims
bogy	0.260105
carriage	0.09469
"major-league team"	0.0828049
"passenger train"	0.0731041
locomotive	0.0701409
B-@s	0.0605407
"freight train"	0.0581655
"nuclear-powered submarine"	0.0580583
derailment	0.0537054
great-grandchildren	0.0536598
"welfare worker"	0.053257
"passenger car"	0.0528086
"escape hatch"	0.0515769
"railroad car"	0.0515362
"city block"	0.0512361
Lankford	0.0512198
"running play"	0.0505701
census-takers	0.0502517
"Ryder Cups"	0.0497823
baserunners	0.0494839
takeaways	0.0486365
windscreen	0.0484677
starts.	0.0483545
"express train"	0.048331
"All-Star Games"	0.0481893
"base runner"	0.0480466
crewmembers	0.0478308
Tram	0.0476354
trolley	0.0473389
no-decisions	0.0467888
"service break"	0.0457475
RAMBUS	0.0449792
"Pro Bowls"	0.0449033
chairlift	0.0447018
"subway train"	0.0444788
changeups	0.0442705
outrigger	0.0435401
"No. @s"	0.0431621
"mobile home"	0.0431438
gunboat	0.0422249
"break of serve"	0.0420904
retina	0.0419885
years.	0.041914
runnings	0.0416734
"British Opens"	0.0415708
"patrol boat"	0.0412617
"bus route"	0.0411632
Ellipse	0.0411632
schoolmate	0.0409492
Stealers	0.0408097
"container ship"	0.0405934
MiG-@@s	0.0405805
"pumping station"	0.0401929
"commuter train"	0.0401807
))
(Bogle (desc 1384.15) (sims
Hindery	0.146321
Verney	0.114783
Bidwill	0.114431
Wendt	0.112943
Reimer	0.106543
Masire	0.102421
Duisenberg	0.101939
Arbour	0.100256
Ruggiero	0.0985959
Ivester	0.0981466
Bhattarai	0.0963892
Perec	0.0953667
Lautenberg	0.0952443
Myhrvold	0.0947226
Mineta	0.0938866
Tevanian	0.0936326
Marineau	0.0934454
Takeshita	0.0918496
Andreessen	0.0911129
Greenwald	0.0905536
Layden	0.0905473
Bloch	0.0890377
Hamlin	0.0884491
Kassirer	0.0882536
Krugman	0.0877477
Blackmun	0.0875141
Eubanks	0.0871545
Allchin	0.0870778
Maritz	0.0869574
Betts	0.0868833
Atwood	0.0868394
Coia	0.0863839
Koskinen	0.0862899
Dodik	0.0862003
Sihanouk	0.0855089
Zadornov	0.0854268
Coelho	0.0839908
Havelange	0.0839539
Patten	0.0838463
Cowens	0.0836437
Wilkerson	0.0828938
Halberstam	0.0827657
Mattingly	0.0822852
Hawke	0.0821258
Klerk	0.0819602
Britton	0.0819423
Pryor	0.081881
Felipe	0.0807674
Ekeus	0.080654
"Krishna Prasad Bhattarai"	0.0803063
Rosenberg	0.0800437
Blass	0.0798209
Camdessus	0.0796393
Schaeuble	0.0795391
Auerbach	0.0795225
Posner	0.0792731
Atkinson	0.0780661
Feldman	0.0771825
Villalonga	0.0769387
DIMON	0.0764555
Jorgensen	0.075276
Bruton	0.0751649
Finkel	0.0751542
Ozawa	0.074804
Lamberth	0.0746631
Wyly	0.0746479
Wolfson	0.0744554
McHugh	0.0744399
"Renato Ruggiero"	0.074383
Hazen	0.0740926
Rivlin	0.0740715
Schottenheimer	0.074009
Boyle	0.073272
Lafontaine	0.07274
DERSHOWITZ	0.0723873
Whipple	0.0722267
McMullen	0.0721113
Moratinos	0.0720142
"Robert Rubin"	0.0719503
Milbury	0.0718721
Pearce	0.0717287
Demaci	0.0716013
Darnell	0.0715597
Gravano	0.0712657
Gorman	0.0712521
Bakaly	0.0709831
LaBella	0.0707476
Prewitt	0.0703013
Sheehy	0.0702135
Ruthardt	0.0701717
Barad	0.0701193
Wiatt	0.0700756
Alderson	0.0699442
Tobin	0.069899
Sassa	0.0697858
"Tina Brown"	0.0697706
Fabius	0.0697506
Gaynor	0.0694744
Walesa	0.0694407
Isner	0.0694315
Burleigh	0.069173
Laudrup	0.068831
silber	0.0687287
Hanley	0.0685319
Guralnick	0.0683598
McKenna	0.0679363
Wetherell	0.0678768
Chafee	0.0677787
McNamara	0.067756
McCormick	0.0677425
Rubin	0.0677313
Counsell	0.0677293
Ziegler	0.067659
Hartley	0.0674658
Vogel	0.0673486
Rudman	0.0672275
Daley	0.0671192
Zucker	0.0669098
Harrick	0.0668028
Dawkins	0.0666359
Arens	0.066573
Gilmour	0.0665032
Lockhart	0.0664571
Zeroual	0.0664531
Passarella	0.0661389
Rodionov	0.0656943
Imperatori	0.0654396
Whitsitt	0.0654143
Jacquet	0.065412
Gerstner	0.0653274
Wasserman	0.0652464
beamer	0.0652217
Rubenstein	0.0651584
Kaunda	0.0651116
Groscost	0.0650423
Catacosinos	0.065012
Aliotti	0.0649366
Samuelson	0.0649365
Brezhnev	0.0648874
Patel	0.0648354
Tillman	0.0647801
ANGELOS	0.06477
Rudenstine	0.0646673
Lew	0.0646575
"Juan Miguel"	0.0645972
Devine	0.0643547
Nate	0.0642059
Sampson	0.0641817
Grossman	0.0641213
Ratner	0.0641143
Majko	0.0640466
Wannstedt	0.0640448
"Jimmy Johnson"	0.0639243
Ritter	0.0638506
Eskew	0.0638407
Coulter	0.0637995
"Michel Camdessus"	0.0636517
Weil	0.063481
Romar	0.0634592
Cohn	0.0632581
Clooney	0.0632476
Waxman	0.0631768
"Lyndon B. Johnson"	0.0631761
Sykes	0.0631251
Orr	0.0631177
Kesri	0.0630879
Hewlett	0.0630039
Condon	0.062965
cutler	0.0628197
Farber	0.0627769
Flaherty	0.062614
Gullikson	0.0626059
Kopp	0.0625244
Bavasi	0.0624123
Ibarra	0.0623696
hough	0.0623352
Ralston	0.0623267
Jovanovic	0.0622633
Samaranch	0.0622082
Conley	0.0618552
Boller	0.0618476
Gowda	0.0618003
LaPierre	0.061546
Ota	0.0613326
Carville	0.0611605
Baryshnikov	0.0611238
McAuliffe	0.0611229
Fitch	0.0611094
Dooley	0.0610736
Groening	0.0610575
Ciampi	0.0610273
Smyers	0.06102
Brazile	0.0608542
Oppenheimer	0.0605504
Hirsch	0.0605398
D'Alessandro	0.0604773
Felton	0.0603603
Ritchie	0.060271
tanner	0.0601483
Rawabdeh	0.0601143
))
(Bogor (desc 2773.46) (sims
Bandung	0.273599
Yogyakarta	0.144686
Batam	0.139588
Surabaya	0.137862
"West Java"	0.111549
Medan	0.105245
Cebu	0.0999207
"Subic Bay"	0.0946249
Bali	0.0918349
Pattaya	0.0880756
Nabatiyeh	0.0858497
Merca	0.0832104
Entebbe	0.0822576
Palembang	0.081754
Kismaio	0.0811986
Ensenada	0.0805575
Phuket	0.0794953
Denpasar	0.0758482
Bengkulu	0.0753176
"East Java"	0.0748822
"Ho Chi Minh City"	0.0745361
regency	0.0728848
Batticaloa	0.0725833
Urus-Martan	0.0720959
Mbarara	0.071977
Subic	0.0717541
Shali	0.0713016
Kyoto	0.0698226
Ghent	0.0692148
Nakuru	0.0691001
Gnjilane	0.068934
Aswan	0.0688682
Shawnee	0.0687517
"Irian Jaya"	0.0680796
NIS	0.0674105
Kitgum	0.0672683
Plattsburgh	0.0671331
Kragujevac	0.0665567
Kismayu	0.0658007
"North Maluku"	0.0648229
Holyoke	0.0638651
"Entebbe International Airport"	0.0638176
Hillsboro	0.0636129
Cacak	0.0635845
Kraljevo	0.0635114
Jinja	0.063419
"Victoria Falls"	0.0631435
Fukuoka	0.0625013
Osaka	0.0620404
Pancevo	0.0616572
Marjayoun	0.0616129
Trincomalee	0.0615872
"Central Java"	0.0615483
Nogales	0.061451
Yokohama	0.0610295
Farmington	0.0609343
Sulawesi	0.0608455
Stockbridge	0.0607404
Antalya	0.0603301
Talipao	0.0601173
"Malaysian capital"	0.0597413
Ambon	0.0594973
Montpelier	0.059402
Nablus	0.0592587
Jalalabad	0.0590354
Puebla	0.058298
Sirte	0.0582248
"Ocean City"	0.058079
Srbica	0.0579928
Dili	0.0578879
"Western Province"	0.057684
SENDAI	0.0570854
Vilnius	0.0570612
Aceh	0.0566437
Mankulam	0.0562065
Cyberjaya	0.0561056
Golcuk	0.0558696
Peoria	0.0558465
Cartagena	0.0555157
"Bandar Seri Begawan"	0.055502
Izmir	0.0548602
Baidoa	0.0545923
Najaf	0.0545639
Limassol	0.0542695
Basra	0.0541679
"Nuevo Laredo"	0.0540348
Vedeno	0.0540339
Ouagadougou	0.0537216
Copperbelt	0.0535641
Weimar	0.053523
Kitwe	0.0532374
Sylhet	0.0530281
Cochabamba	0.0529589
Izmit	0.0529134
Dundalk	0.0528883
Morelos	0.0528431
Decani	0.0528125
"Camp Zeist"	0.0527477
Lampung	0.0527396
Kasese	0.0527249
Waterville	0.0525771
Matamoros	0.0524731
Gulu	0.0523309
Maluku	0.0522669
Almaty	0.0519688
Jezzine	0.0518537
Vientiane	0.0518304
PEC	0.0517306
Arua	0.0517062
Kalemie	0.0516395
Orahovac	0.0514502
Xenia	0.0513363
Nago	0.0510847
Bloomington	0.0510545
"Quezon City"	0.0508964
Dearborn	0.0507447
Kijevo	0.0507161
Qom	0.0505627
Ashkelon	0.0504979
Sidon	0.0504835
Bamako	0.0502772
Rabat	0.050031
Haifa	0.0500119
"Egyptian capital"	0.0495929
Larnaca	0.0495325
"Jatiya Party"	0.0495276
Wenzhou	0.0494731
Winston-Salem	0.0493694
Uvira	0.0492245
"SIERRA BLANCA"	0.0490586
CAMILLA	0.0487823
Davos	0.0487523
"Fort Collins"	0.0486891
Vavuniya	0.0486524
Urosevac	0.0485591
Tacoma	0.0484516
Paphos	0.0484087
Jamestown	0.048376
Peshawar	0.0483458
Saida	0.0483175
Rawalpindi	0.0481852
Windhoek	0.0481593
Mullaitivu	0.0481093
Fillmore	0.048079
"Banja Luka"	0.047908
"CHIANG MAI"	0.047903
Charikar	0.0477946
Youngstown	0.0477301
"San Cristobal"	0.04767
Nagoya	0.0476496
Prizren	0.047576
Honolulu	0.0475183
Mbale	0.047457
Scranton	0.0473298
Durban	0.0472953
"Grand Junction"	0.0472899
"Tamil Nadu"	0.04726
Beersheba	0.047211
Eureka	0.0470639
Leskovac	0.0469973
Soweto	0.0469764
Riverdale	0.0469699
Malacca	0.0469658
Badme	0.0469606
Compton	0.0469055
CARACAS	0.0468832
Khulna	0.0467784
Chittagong	0.046761
el-Sheikh	0.046674
Bushehr	0.0466428
subdistrict	0.0465332
Conakry	0.0465035
Peterborough	0.04646
Bazar	0.0462292
Midrand	0.0460654
Djakovica	0.0459891
ASHEVILLE	0.0459399
WARSAW	0.0458435
McAllen	0.0458249
Tijuana	0.0456965
Labuan	0.0455962
"San Mateo"	0.0455237
Olathe	0.0454916
Spokane	0.0454048
"Grand Central"	0.0453176
Utica	0.0452993
Luxor	0.0452731
Clearwater	0.045167
Fremont	0.0450186
Malmo	0.0448471
Ballymoney	0.0447802
Lahore	0.0447233
Rafah	0.0447062
"San Pedro Sula"	0.0445294
Pelham	0.0445264
TUNIS	0.0444545
governorates	0.0442902
Acapulco	0.0442548
Shiraz	0.0442063
Monterey	0.0442023
))
(BOGOTA (desc 17429.5) (sims
"Mexico City"	0.227582
CARACAS	0.22393
Quito	0.222426
"Guatemala City"	0.212248
"Buenos Aires"	0.209994
TEGUCIGALPA	0.204355
Santiago	0.204164
Managua	0.195056
Lima	0.191658
BUCHAREST	0.190701
ZAGREB	0.188392
Luanda	0.188307
KIEV	0.18803
BUDAPEST	0.187565
Dushanbe	0.185606
"Phnom Penh"	0.182924
BRASILIA	0.181783
"SANTAFE DE BOGOTA"	0.181555
SEOUL	0.178686
"Addis Ababa"	0.178398
Prague	0.176162
Jakarta	0.175189
Cali	0.173026
SOFIA	0.173016
Beirut	0.172923
Amman	0.172802
TIRANA	0.172499
Manila	0.172397
Kabul	0.172357
Srinagar	0.171471
"Sao Paulo"	0.171019
Havana	0.170567
"New Delhi"	0.170064
HARARE	0.169818
JOHANNESBURG	0.169433
Kigali	0.168679
"La Paz"	0.168439
Belfast	0.167353
KAMPALA	0.167341
DHAKA	0.167036
Algiers	0.166061
Port-au-Prince	0.165915
"Rio de Janeiro"	0.165822
CAIRO	0.165748
Bangkok	0.165373
Islamabad	0.165361
Nairobi	0.164365
Tehran	0.163437
Khartoum	0.163383
Skopje	0.163008
HANOI	0.162839
"Santo Domingo"	0.161837
Madrid	0.161652
ANKARA	0.161431
Sarajevo	0.159573
COLOMBO	0.158954
Asmara	0.158119
Istanbul	0.156536
"Tel Aviv"	0.156139
Tbilisi	0.155667
ATHENS	0.154692
Vienna	0.153547
WARSAW	0.152978
Pretoria	0.152528
Lagos	0.1525
Kinshasa	0.150759
Bujumbura	0.150665
Medellin	0.149865
Monrovia	0.149863
YANGON	0.149773
Pristina	0.14879
"San Juan"	0.148696
"San Salvador"	0.148326
MONTEVIDEO	0.148236
Riyadh	0.148173
Katmandu	0.147687
"Panama City"	0.147606
Lusaka	0.147213
Dili	0.147004
"Kuala Lumpur"	0.146364
Tokyo	0.145547
"Cape Town"	0.145272
Moscow	0.144009
Tripoli	0.143461
STOCKHOLM	0.142615
Taipei	0.140954
Kathmandu	0.140552
BELGRADE	0.138525
LISBON	0.138122
Abidjan	0.137811
MANAMA	0.136986
Bissau	0.136676
Rome	0.136231
MAPUTO	0.135993
"Dar es Salaam"	0.135645
Baku	0.134502
Freetown	0.133326
Paris	0.131232
Baghdad	0.130957
"Ulan Bator"	0.130836
Karachi	0.130484
BEIJING	0.130417
Copenhagen	0.129469
BRUSSELS	0.129197
Dublin	0.128623
Maseru	0.128301
Grozny	0.128131
Peshawar	0.127942
LONDON	0.127305
Vilnius	0.127085
"Abu Dhabi"	0.126144
Berlin	0.12605
Mogadishu	0.126038
"Ho Chi Minh City"	0.125941
Durban	0.1258
TUNIS	0.125426
NICOSIA	0.124252
Kuito	0.123766
Suva	0.123402
Lhasa	0.122533
Tapachula	0.122136
Minsk	0.121983
Guadalajara	0.12168
Geneva	0.121591
"St. Petersburg"	0.121502
"Little Rock"	0.121004
Marjayoun	0.120269
"KUWAIT CITY"	0.1197
Asuncion	0.119604
Wellington	0.119361
"San Jose"	0.119157
TALLAHASSEE	0.118721
Juba	0.117235
Amsterdam	0.116991
Accra	0.116939
Podgorica	0.1162
Albany	0.116149
Lahore	0.115277
CHENGDU	0.11516
Damascus	0.115117
Acapulco	0.113841
anchorage	0.113322
"SANTA FE DE BOGOTA"	0.113126
"Quebec City"	0.112741
Hyderabad	0.112681
Urumqi	0.112632
Windhoek	0.112407
Kunming	0.112248
Honolulu	0.111823
Cartagena	0.111633
Jayapura	0.111534
Rochester	0.11088
"state capital"	0.11073
SANAA	0.110607
Tuzla	0.110272
Frankfurt	0.110113
"Oklahoma City"	0.110102
"Santa Fe"	0.109951
Perth	0.109712
Vladivostok	0.109655
MELBOURNE	0.109465
JERUSALEM	0.108935
Austin	0.108715
Brazzaville	0.107805
Rabat	0.107748
Dakar	0.107699
Raleigh	0.107658
Wilmington	0.107592
Bonn	0.107467
Munich	0.107441
"Fort Worth"	0.107233
Tashkent	0.106282
PYONGYANG	0.105843
Minneapolis	0.105714
Naples	0.105047
Winnipeg	0.104988
Guayaquil	0.104919
Helsinki	0.104838
Rio	0.104552
PALERMO	0.104364
"Des Moines"	0.104251
Gaborone	0.104063
Abuja	0.103877
Alexandria	0.103708
Tucson	0.103607
Tampa	0.10326
Bombay	0.103242
BRATISLAVA	0.103186
Ramallah	0.103179
Honiara	0.102548
Oslo	0.10224
Canberra	0.102235
Auckland	0.102225
Gaza	0.102047
Vientiane	0.101869
Goma	0.101827
Charleston	0.101699
Ottawa	0.101552
Calcutta	0.101094
Mankulam	0.10103
))
(bogy (desc 1339.64) (sims
bogie	0.260105
carriage	0.120846
"passenger car"	0.119366
great-grandchildren	0.112712
"Final Fours"	0.10992
Dutchmen	0.109328
no-decisions	0.0996317
"Pro Bowls"	0.098606
"Ryder Cups"	0.0981161
"All-Star Games"	0.0961814
tenths	0.096023
"railroad car"	0.0958796
"express train"	0.093752
seasons.	0.0935846
Pillars	0.0921993
postseasons	0.0888948
starts.	0.0888784
"major-league team"	0.0886655
"No. @s"	0.0882958
crewmembers	0.0879652
takeaways	0.0865597
years.	0.0851669
near-misses	0.0845037
"British Opens"	0.0837659
"Cy Young Awards"	0.0831305
hundredth	0.0820927
baserunners	0.0810553
upperclassmen	0.0808507
quarterfinalists	0.0793381
"freight car"	0.0785224
Picassos	0.0773737
QBs	0.0765636
locomotive	0.0754123
sherpas	0.0745331
Klansmen	0.0739481
planeloads	0.0730309
"Gold Gloves"	0.0729116
crewmates	0.0726927
"break of serve"	0.0720937
"flight of stairs"	0.0715106
runnings	0.0715037
A@@@s	0.070414
"major league season"	0.0686767
derailment	0.0683229
"robbery suspect"	0.0679683
axle	0.0671062
"Pulitzer Prizes"	0.0667505
B-@s	0.0656454
outbuilding	0.065006
innings.	0.0649371
"day of rest"	0.0644287
"Baby Bells"	0.0643736
"unearned run"	0.0641346
"U.S. Opens"	0.0640757
deuce	0.0639428
curveballs	0.0638514
vote-getters	0.0637171
"freight train"	0.0636675
Concordes	0.0635509
"base runner"	0.0623446
stanza	0.0622579
sub-projects	0.0618903
"railway car"	0.0616
"extra points"	0.0610999
weevil	0.0610334
"word of advice"	0.0607034
technicals	0.0602452
undercarriage	0.059449
wideouts	0.0590638
MiG-@@s	0.058473
tacklers	0.0584253
"work group"	0.0575283
truckload	0.0574592
minus-@	0.0572553
carload	0.057136
busload	0.056665
guardsmen	0.0564657
All-Americans	0.0563597
trainload	0.0561648
"fire engine"	0.056142
fifths	0.0561026
airmen	0.056066
"passenger train"	0.0559176
co-chairs	0.0557332
tranches	0.0556723
Humvees	0.0556396
"Canadian province"	0.0555671
"Special Economic Zones"	0.0555058
"space walk"	0.0553486
"Law Lords"	0.0552139
"community newspaper"	0.054959
headrest	0.0549445
"hydraulic system"	0.0548935
"service break"	0.0547714
"residence hall"	0.0540419
stepchildren	0.0539656
"commuter train"	0.053551
spacewalks	0.0529081
ex-convicts	0.0528993
syllable	0.0528818
Ferraris	0.0528402
Opens	0.05281
miscarriage	0.0525546
"World Cups"	0.0524544
"dead body"	0.052452
par-@s	0.0524088
consortia	0.0523083
MiGs	0.0522442
carburetor	0.0521938
propeller	0.0521526
co-defendants	0.0521019
TDs	0.0517777
"minor-league team"	0.0517223
subspecies	0.0517072
"full page"	0.0513866
"earned run"	0.0513401
prong	0.0512292
subgroup	0.0512265
major-leaguers	0.0512117
SEZs	0.0511402
"religious holiday"	0.0510201
mushers	0.0509887
Mini-bus	0.0509472
three-pointers	0.0509367
games.	0.0509323
"Central American nation"	0.0508841
firsts	0.050757
"speeding ticket"	0.0507009
Englishmen	0.0506334
Christmases	0.0502109
"exhibition area"	0.0501294
tractor-trailers	0.0498396
abstention	0.0497484
"transport ship"	0.0497173
"subway train"	0.0495178
nonwhites	0.0494671
Chevys	0.0493629
URLs	0.0492468
Tonys	0.0490988
"gas turbine"	0.0490518
co-owners	0.048855
stallion	0.0486697
"small boat"	0.0485983
"city block"	0.0485626
"Texas Democrats"	0.048359
"Israeli Arabs"	0.0482942
"Scandinavian country"	0.0482301
"patrol ship"	0.0480764
groundouts	0.0480482
instalment	0.0479511
"New York Democrats"	0.0478194
"Alaska Airlines Flight @@@"	0.0477631
"running play"	0.0477276
"landing gear"	0.0475955
Pontiacs	0.0471783
Frenchmen	0.046798
pug	0.0466956
Copt	0.0466257
storey	0.0466174
"house guest"	0.0465278
"flour mill"	0.0464511
armymen	0.0463883
"Stanley Cups"	0.0463507
state-level	0.0462924
Cs	0.0462542
soliders	0.0461601
"space probe"	0.0460836
Weeks	0.0459497
hostage-takers	0.045619
"Balkan state"	0.0456029
Grammys	0.0456003
thousandth	0.0453914
"oil tanker"	0.045009
"Purple Heart"	0.0448166
memoranda	0.0446502
Stealers	0.0446151
"bullet hole"	0.044605
lorry	0.0445888
"Emmy Awards"	0.0444545
"Straight Talk Express"	0.0443587
inductees	0.0441665
symposia	0.0439684
aldermen	0.0439194
"scuba diver"	0.0438694
"fire truck"	0.0436791
"over .@@@"	0.0436185
Emmys	0.0434266
co-accused	0.0434148
midfielders	0.0433732
internationals	0.0432376
"honorable mention"	0.0432125
taster	0.043201
minor-leaguers	0.0431871
joker	0.0430214
spacewalkers	0.0429882
knockdown	0.0429657
"foul shot"	0.0427616
"base hit"	0.0426479
Buss	0.0424988
carmakers	0.0423398
))
("Bohai Bay" (desc 3321.71) (sims
"Bohai Sea"	0.349166
"East China Sea"	0.26148
"Tarim Basin"	0.193346
"South China Sea"	0.1663
"Beibu Gulf"	0.15381
"Bay of Bengal"	0.140177
"Qaidam Basin"	0.136209
"Yellow Sea"	0.135377
Zhangjiakou	0.121815
"Arctic Ocean"	0.117041
"Tianjin Municipality"	0.112556
"Black Sea"	0.105567
"Huaihe River"	0.10524
"Pearl River Delta"	0.103826
Baoding	0.102262
"Indian Ocean"	0.0998345
"Sea of Japan"	0.0949291
"Taihu Lake"	0.0947552
"Pearl River"	0.0936538
basin	0.0909001
Tarim	0.0908596
"North Atlantic"	0.0859173
"Taklimakan Desert"	0.0833661
"Loess Plateau"	0.083355
"Barents Sea"	0.0827528
"Caspian Sea"	0.0817991
"San Francisco Bay"	0.080547
"Dead Sea"	0.0778632
Zhangbei	0.0771046
"Yangtze River Delta"	0.0766422
"Lake Ontario"	0.0755394
"Baltic Sea"	0.0737087
"Lake Michigan"	0.073182
"continental shelf"	0.0728154
"Anhui Province"	0.0727129
Mediterranean	0.0720154
"Mediterranean Sea"	0.0718376
Qufu	0.0713445
"Western Desert"	0.0712162
"Qinghai-Tibet Plateau"	0.0702588
"Puget Sound"	0.06982
Weifang	0.0689443
Caspian	0.0684787
"Hainan Island"	0.0683496
Chengde	0.06777
estuary	0.067214
"Chesapeake Bay"	0.0671536
"South Atlantic"	0.0668339
Hebei	0.0666683
"river basin"	0.0666138
"Dongting Lake"	0.0662811
"Fujian Province"	0.0662642
"Gulf of Mexico"	0.0656833
"Pacific Ocean"	0.0656072
"Columbia River"	0.0649649
"Heilongjiang Province"	0.0646179
"Shanxi Province"	0.0645595
"Qinghai Province"	0.0641405
"Niger Delta"	0.0640718
"Persian Gulf"	0.0638309
"Grand Canal"	0.0636559
"Yangtze River"	0.0636105
"Taiwan Straits"	0.0634014
"Hebei Province"	0.0628544
"Aegean Sea"	0.0627039
"Lake Erie"	0.0623634
"Lake Victoria"	0.0620704
"test-tube baby"	0.0618662
Mullaitivu	0.0614848
"North Sea"	0.061473
Galilee	0.0613515
Liaoning	0.0612761
"Xinjiang Uygur Autonomous Region"	0.0604873
Xinjiang	0.0604173
"Dianchi Lake"	0.0602286
"Chongqing Municipality"	0.0599676
"Inner Mongolia Autonomous Region"	0.059785
Adriatic	0.0595063
"Yucatan Peninsula"	0.0592914
"rough water"	0.0589686
"Hainan Province"	0.0585779
lagoon	0.0580864
"Long Island Sound"	0.0577066
"Nenjiang River"	0.0573077
"Golden Triangle"	0.0571738
"Inner Mongolia"	0.0571667
"North Island"	0.0570005
"Zhejiang Province"	0.0566226
Hainan	0.0564986
"Manila Bay"	0.0564858
Shaanxi	0.0560082
"Hong Kong Island"	0.0555831
Tangshan	0.0549332
sq.km	0.0546584
"Tibet Autonomous Region"	0.0544867
Qinhuangdao	0.0544645
ravine	0.0543601
Fujian	0.0542673
Yangtze	0.0541928
"Shandong Province"	0.0541221
gorge	0.0541124
"Jiangsu Province"	0.054029
Luzon	0.0532856
Weihai	0.0531067
"Yellow River"	0.053067
"Haihe River"	0.052847
"Gansu Province"	0.0527801
Lijiang	0.0524378
"Georges Bank"	0.0524229
"Red Sea"	0.0523375
"Shenzhen Special Economic Zone"	0.0522869
Hunan	0.0520975
Ningxia	0.0519089
Zhangjiajie	0.0516701
Shanxi	0.0514548
oilfield	0.0506205
Xishuangbanna	0.050538
Guizhou	0.050397
"Ningxia Hui Autonomous Region"	0.0502721
Henan	0.0502645
"Cape Fear"	0.0502576
Antarctic	0.0500606
Greenland	0.050042
"Silk Road"	0.0497139
grassland	0.0497101
Hubei	0.0496998
Wetland	0.0493795
Guangxi	0.0492848
"New York Harbor"	0.0489889
"territorial water"	0.0489261
"Henan Province"	0.0488132
"Jilin Province"	0.0486401
Zhejiang	0.0484721
"East River"	0.0481911
Kenema	0.0480661
"Guangxi Zhuang Autonomous Region"	0.0478891
inlet	0.0478165
"Guizhou Province"	0.0471961
Gansu	0.0471235
Siberia	0.0469855
Himalayas	0.0469287
Rhine	0.0468673
Rafah	0.0468025
"cultivated land"	0.0466978
Bekaa	0.0466268
Yantai	0.0465128
"Mekong River"	0.0460705
"Hudson River"	0.0459296
Daqing	0.0458312
"Hunan Province"	0.0457906
"Grand Canyon"	0.0457642
Zhongguancun	0.045749
Antarctica	0.0456596
"suspension bridge"	0.0455821
Shandong	0.0455618
Dalian	0.0453868
Heilongjiang	0.0451192
"tropical rain forest"	0.0450865
Lianyungang	0.0450145
"North China"	0.0450055
"South Pacific"	0.0449831
"Suez Canal"	0.0449617
km	0.0446805
"Liaoning Province"	0.0446673
Borneo	0.0446482
"Exposition Park"	0.0444675
"Mojave Desert"	0.0443592
"Jiangxi Province"	0.0441403
wetlands	0.0441267
"hot spring"	0.0441206
"Shaanxi Province"	0.0440166
"Grand Canyon National Park"	0.0439007
"coastal plain"	0.0438257
Sichuan	0.0436979
"Yangtze River Valley"	0.0434662
Pemba	0.0432631
"Gorges Project"	0.0432309
"Yunnan Province"	0.0431541
"ground water"	0.0430514
ZHOUSHAN	0.0430023
"Special Economic Zones"	0.0430007
"special economic zone"	0.0429681
Ganges	0.0428572
"Turkish Republic of Northern Cyprus"	0.0427268
Jilin	0.04271
"Technological Development Zone"	0.0426819
marshland	0.0425655
"Western Pacific"	0.0424132
lowland	0.0422861
Badme	0.0418432
"railway line"	0.0417699
Yunnan	0.0417207
Golcuk	0.0416883
"Atlantic Ocean"	0.0416075
gully	0.0416
"Adriatic Sea"	0.0415152
grotto	0.0412536
"Lijiang River"	0.0411542
Aegean	0.0406631
"English Channel"	0.0406616
))
("Bohai Sea" (desc 4321.42) (sims
"Bohai Bay"	0.349166
"East China Sea"	0.20253
"South China Sea"	0.186263
"Yellow Sea"	0.177871
"Tarim Basin"	0.163313
"Beibu Gulf"	0.156863
"Huaihe River"	0.133021
Tarim	0.119333
"Taihu Lake"	0.111619
"Black Sea"	0.110241
"Caspian Sea"	0.109166
"Baltic Sea"	0.103891
"Niger Delta"	0.103321
"Indian Ocean"	0.100259
"Sea of Japan"	0.0942801
"Dianchi Lake"	0.093104
Luzon	0.0925451
basin	0.0897927
"Dead Sea"	0.0895573
"Qaidam Basin"	0.0886397
Daqing	0.0871841
"Pearl River"	0.0865846
"Tianjin Municipality"	0.0859519
"North Island"	0.0813934
"Hainan Island"	0.0810047
"river basin"	0.0799266
"Inner Mongolia"	0.0758366
Bekaa	0.0758306
Xinjiang	0.0754824
"Heilongjiang Province"	0.0749949
"Bay of Bengal"	0.0745393
"Taiwan Straits"	0.074508
"Pacific Ocean"	0.0739023
Drenica	0.0738993
"Gulf of Mexico"	0.0733224
"San Francisco Bay"	0.072647
Caspian	0.0723031
oilfield	0.0720142
"Persian Gulf"	0.0703345
"Western Desert"	0.0700794
"Lake Victoria"	0.0692787
"Yangtze River Delta"	0.0690576
"Mediterranean Sea"	0.0689926
Ningxia	0.0689521
"Pearl River Delta"	0.0684523
Mediterranean	0.0670609
"Fujian Province"	0.0668015
"North Sea"	0.0666617
Jinzhou	0.0666068
"North Atlantic"	0.0665803
"Qinghai-Tibet Plateau"	0.0664546
"Hudson River"	0.0663234
"Yangtze River Valley"	0.0662809
Hainan	0.0659346
"Taklimakan Desert"	0.0657367
"Yangtze River"	0.0656212
"Qinghai Province"	0.0654494
"Lake Ontario"	0.0648757
"Dongting Lake"	0.0647913
"Loess Plateau"	0.0635258
Siberia	0.0634918
Yangtze	0.0631359
"Hainan Province"	0.0630608
"continental shelf"	0.0628665
Galilee	0.0627675
"Yucatan Peninsula"	0.0613761
"Great Lakes"	0.0608905
Adriatic	0.0606436
"Chesapeake Bay"	0.0603759
Kalimantan	0.0602008
ZHOUSHAN	0.0598537
"Hunan Province"	0.0593123
Talipao	0.0591861
"Guizhou Province"	0.0591412
"Xinjiang Uygur Autonomous Region"	0.0591039
Qinghai	0.0589463
"Lake Michigan"	0.0588115
"Red Sea"	0.0585946
Henan	0.0585626
Shanxi	0.0583131
"Barents Sea"	0.05787
sq.km	0.0578229
Zhejiang	0.0573442
Guangxi	0.0571525
estuary	0.0569646
"Tibet Autonomous Region"	0.0568238
"Yunnan Province"	0.0568041
Rhine	0.0567917
Sichuan	0.0564424
"Sichuan Province"	0.0561414
Liaoning	0.0558984
"Suez Canal"	0.055239
"Yellow River"	0.0552128
"Liaohe River"	0.0551887
"Anhui Province"	0.0549212
"Ningxia Hui Autonomous Region"	0.054916
Sakhalin	0.0548734
"Lake Erie"	0.054746
Xishuangbanna	0.0546762
Puglia	0.0543015
Chattahoochee	0.0541255
Guizhou	0.0540512
Greenland	0.0539934
Gansu	0.0539901
"Nile River"	0.0538144
Jilin	0.0535863
Sumatra	0.0535718
Decani	0.0534247
"Golden Triangle"	0.0532643
"Georges Bank"	0.0530387
"Lake Tahoe"	0.052858
"Great Plains"	0.0525012
plateau	0.052313
"Shanxi Province"	0.0519516
"Inner Mongolia Autonomous Region"	0.0519178
Hebei	0.0518894
"Arctic Ocean"	0.0515253
"Jilin Province"	0.0514458
"Shaanxi Province"	0.0513676
"Aegean Sea"	0.0511246
Mullaitivu	0.0511106
Batticaloa	0.0510544
Sylhet	0.0510502
Zhangbei	0.0504203
"Gorges Dam"	0.0503416
"Special Economic Zones"	0.0502254
"urban area"	0.0498001
"Gansu Province"	0.0497065
Fujian	0.0496705
Carolinas	0.0493835
Calabria	0.0490279
"Mekong Delta"	0.0488959
Tigray	0.0487927
"Guangxi Zhuang Autonomous Region"	0.0487595
"Long Island Sound"	0.0487233
Shaanxi	0.0487172
Patagonia	0.0486285
"test-tube baby"	0.0482818
grassland	0.0482411
Hunan	0.0480371
marshland	0.0477986
watershed	0.047643
Hubei	0.0474689
Khabarovsk	0.0474376
"Puget Sound"	0.047407
Lijiang	0.0471734
Kyushu	0.0471696
"Connecticut River"	0.0471334
"Liaoning Province"	0.0470374
Chongqing	0.0469428
wetlands	0.0468174
subdistrict	0.0467532
"Shenzhen City"	0.0467222
"Shandong Province"	0.0465206
Alps	0.0464821
"Lijiang River"	0.0464462
Yunnan	0.0463358
waterway	0.0461565
cortex	0.0461364
Kauai	0.0459999
Borneo	0.0458891
Mindanao	0.0456104
Wetland	0.045604
"special economic zone"	0.0454824
hinterland	0.0453422
"cultivated land"	0.0452529
Yuma	0.0452363
Zhangjiakou	0.0450827
"South Atlantic"	0.0449861
Turpan	0.0449338
"Red River"	0.0448502
Heilongjiang	0.0448321
"Silk Road"	0.044803
"Zhejiang Province"	0.0447031
"body of water"	0.0445008
Zhangjiajie	0.0444856
Uvira	0.0444691
"Rio Grande Valley"	0.0444123
"rift valley"	0.0441637
Andes	0.0440796
"Hebei Province"	0.0440063
"West Los Angeles"	0.0439478
"Hubei Province"	0.0439226
"Lake Tanganyika"	0.0438299
governorate	0.0435964
Kargil	0.0435101
"Shan State"	0.0434533
"Rift Valley Province"	0.0434046
"South China"	0.043386
Pudong	0.0432719
"Adriatic Sea"	0.0431224
"rough water"	0.0430672
Zhongguancun	0.0429917
"soil erosion"	0.0429238
Mtwara	0.0428505
Aegean	0.0427194
Maluku	0.0426951
"Kuril Islands"	0.0424964
"East River"	0.0423038
metropolises	0.0422486
))
(Bohanon (desc 2462.7) (sims
Harnisch	0.283781
Mlicki	0.271756
Radke	0.258669
Rusch	0.258508
Mercker	0.232287
Fassero	0.231881
Schourek	0.228263
Dempster	0.227698
Remlinger	0.226022
Yoshii	0.224351
Nagy	0.21769
Reynoso	0.216906
Ankiel	0.214322
Bottenfield	0.210947
Lieber	0.206716
Candiotti	0.204245
Gagne	0.200264
Daal	0.19844
Burba	0.196317
Pavano	0.194715
Leiter	0.194025
Trachsel	0.193315
Burkett	0.191169
Halama	0.189864
Eldred	0.188045
Suppan	0.187727
Petkovsek	0.187547
Neagle	0.187128
Rapp	0.186303
Kile	0.184352
Dreifort	0.183672
Loaiza	0.183515
Millwood	0.182305
Moyer	0.1823
Parris	0.179833
Checo	0.178607
Hermanson	0.177963
Osuna	0.176467
Tapani	0.176403
Hershiser	0.175778
Arrojo	0.175388
Hentgen	0.175301
McMichael	0.174735
Mulholland	0.170327
Stottlemyre	0.170293
Astacio	0.168923
Mussina	0.166968
Gooden	0.165861
Schoeneweis	0.164096
Mantei	0.161911
Moehler	0.161748
Cloude	0.16013
Olivares	0.159789
Pulsipher	0.159537
"Jesus Sanchez"	0.159084
Bere	0.157703
Rueter	0.157584
Woodard	0.15755
Benes	0.156829
Washburn	0.156536
Herges	0.154777
Belcher	0.154423
Meche	0.15388
Elarton	0.152697
Vazquez	0.152412
Percival	0.152308
Glavine	0.150278
Tomko	0.149663
Saberhagen	0.149645
Dotel	0.148608
Pettitte	0.146306
"Jamey Wright"	0.145276
"Jon Lieber"	0.144586
"Eric Milton"	0.143827
Sele	0.143733
Mahomes	0.143703
Erickson	0.142908
Valdes	0.142163
Guzman	0.141967
"Dustin Hermanson"	0.139951
Meadows	0.139734
Nomo	0.139426
Saunders	0.139009
Smoltz	0.138154
Hasegawa	0.137949
Wendell	0.137568
Yarnall	0.136709
Helling	0.135239
Wakefield	0.134522
Wohlers	0.134227
Benitez	0.133763
"Russ Ortiz"	0.1337
Dickson	0.133044
D'Amico	0.133026
"Brian Bohanon"	0.131838
Rojas	0.131271
Finley	0.12966
Irabu	0.129291
Perisho	0.129041
Schilling	0.127134
Milton	0.12682
Etherton	0.126751
Grimsley	0.126451
"Javier Vazquez"	0.126108
"Chris Carpenter"	0.125775
"Mike Remlinger"	0.125774
Isringhausen	0.125201
Heredia	0.124841
"Brian Moehler"	0.124554
Nen	0.124157
Haynes	0.123972
"Randy Myers"	0.122741
"Steve Parris"	0.121667
Hudek	0.121167
Glynn	0.120873
Borbon	0.120567
"Rod Beck"	0.120233
"Chuck Finley"	0.120219
estes	0.119109
"Terry Mulholland"	0.118115
Hampton	0.118022
"John Burkett"	0.118013
"Brian Anderson"	0.117383
"John Snyder"	0.117364
Zito	0.117343
"Jim Parque"	0.116148
"Jeff Weaver"	0.115985
"Chan Ho Park"	0.115925
"Jason Christiansen"	0.115717
"Shane Reynolds"	0.115131
Ashby	0.114634
Clement	0.113415
"Woody Williams"	0.11326
"Steve Sparks"	0.113101
Cordova	0.112756
"Shawn Estes"	0.112618
"Kirk Rueter"	0.112321
"Turk Wendell"	0.111814
Wasdin	0.111491
"Mike Sirotka"	0.111448
"Greg Swindell"	0.111278
Gardner	0.111117
"Alan Embree"	0.110735
Schmidt	0.110682
"Dennis Cook"	0.1104
McDOWELL	0.110306
"Carlos Perez"	0.110274
Ortiz	0.109405
"Kent Bottenfield"	0.109264
Navarro	0.10916
Appier	0.109159
"Scott Karl"	0.108734
Witt	0.108718
Batista	0.10818
"Matt Mantei"	0.108126
Ligtenberg	0.107677
"Ron Villone"	0.107526
Orosco	0.107132
fetter	0.107023
"Francisco Cordova"	0.10654
"Bret Saberhagen"	0.106508
Contreras	0.106499
"Pat Hentgen"	0.10627
Holt	0.106265
"Pedro Astacio"	0.106224
"Paul Shuey"	0.105716
"Darren Dreifort"	0.105193
Bergman	0.105142
DiSarcina	0.104637
Stephenson	0.104497
Cordero	0.103851
Maddux	0.103536
Radinsky	0.103451
Perez	0.103265
"Willie Blair"	0.103144
"Dan Miceli"	0.102828
Mendoza	0.102464
Avery	0.102
"Jason Bere"	0.101794
"Russ Springer"	0.101589
"Kevin Tapani"	0.101305
"Steve Trachsel"	0.101241
"El Duque"	0.10111
Lieberthal	0.100562
"Paul Byrd"	0.100453
Aguilera	0.100288
"Bryce Florie"	0.100045
"Matt Franco"	0.0994796
"Jose Jimenez"	0.0993639
"Dave Mlicki"	0.0990517
Baldwin	0.0990224
"Wilson Alvarez"	0.099009
"Pedro Borbon"	0.0987882
"Omar Daal"	0.098178
Oliver	0.0981712
"Jason Schmidt"	0.0976257
"Mark Guthrie"	0.0975165
"Pat Rapp"	0.0972148
"Mark Gardner"	0.097016
"Chuck McElroy"	0.0970137
))
("Bohdan Ulihrach" (desc 4336.69) (sims
"Slava Dosedel"	0.446512
"Martin Damm"	0.405729
"Daniel Vacek"	0.390887
"Jiri Novak"	0.358162
"Dominik Hrbaty"	0.28764
"Karol Kucera"	0.267871
"John Van Lottum"	0.266124
"Petr Korda"	0.256111
"Karim Alami"	0.254037
"Denisa Chladkova"	0.251504
"Albert Portas"	0.25065
Kroslak	0.250555
"Nathalie Dechy"	0.250132
"Adrian Voinea"	0.243245
"Mariano Puerta"	0.242128
"Naoko Sawamatsu"	0.240647
"Jerome Golmard"	0.240597
"Hernan Gumy"	0.239572
"Sarah Pitkowski"	0.23586
"Rainer Schuttler"	0.233485
"Carlos Costa"	0.233075
"Magdalena Maleeva"	0.231683
"Christian Ruud"	0.229635
"Franco Squillari"	0.22917
"Kveta Hrdlickova"	0.229036
"Renzo Furlan"	0.228627
"Kenneth Carlsen"	0.228142
"Arnaud Clement"	0.227671
"Arnaud Boetsch"	0.227138
"Adriana Gersi"	0.225672
"Magui Serna"	0.225084
"Vincent Spadea"	0.22412
"Francisco Clavet"	0.222371
"Sandrine Testud"	0.221296
"Sjeng Schalken"	0.220894
"Sandra Kleinova"	0.219473
"Judith Wiesner"	0.219402
"Florencia Labat"	0.218972
"Andrei Pavel"	0.21872
"Barbara Paulus"	0.218592
"Byron Black"	0.217613
"Gianluca Pozzi"	0.216754
"Tatiana Panova"	0.216142
"Guillaume Raoux"	0.215021
Siemerink	0.214699
"Helena Sukova"	0.212797
"Anne Kremer"	0.211552
"Jason Stoltenberg"	0.209881
"Magnus Gustafsson"	0.209399
"Ai Sugiyama"	0.209323
"Alexandra Fusai"	0.209297
"Elena Likhovtseva"	0.208936
"Paola Suarez"	0.208288
"Sabine Appelmans"	0.208286
"Roger Federer"	0.207572
"Younes El Aynaoui"	0.207409
"David Prinosil"	0.207303
"Arnaud Di Pasquale"	0.206346
"Felix Mantilla"	0.205459
"Silvia Farina"	0.205352
"Richard Fromberg"	0.205204
"Mariano Zabaleta"	0.205061
"Tommy Haas"	0.205036
"Ramon Delgado"	0.204172
"Dominique Van Roost"	0.203755
"Yayuk Basuki"	0.203329
"Alberto Berasategui"	0.202331
Ulihrach	0.202278
"Jeff Tarango"	0.202024
"Nicole Pratt"	0.201929
"Richard Krajicek"	0.201632
"Brenda Schultz-McCarthy"	0.199313
"Mikael Tillstrom"	0.196869
"Fabrice Santoro"	0.196629
"Andrea Gaudenzi"	0.196277
"Javier Sanchez"	0.195934
"Alberto Costa"	0.195881
"Wayne Ferreira"	0.194602
"Anke Huber"	0.194374
"Paul Haarhuis"	0.193461
"Catalina Cristea"	0.193363
"Ruxandra Dragomir"	0.192792
Kucera	0.191369
"Albert Costa"	0.191231
"Amy Frazier"	0.190761
"Grant Stafford"	0.19045
"Nicolas Escude"	0.189946
"Andreas Vinciguerra"	0.189303
"Thomas Johansson"	0.188807
"Joannette Kruger"	0.18851
"Marc Rosset"	0.188006
"Irina Spirlea"	0.187864
"Sergi Bruguera"	0.187624
"Sargis Sargsian"	0.187211
"Marcos Ondruska"	0.187087
"Julie Halard-Decugis"	0.186591
Hrbaty	0.186099
"Patty Schnyder"	0.185956
"Filip Dewulf"	0.185753
"Nathalie Tauziat"	0.183978
"Karina Habsudova"	0.18388
"Nicolas Kiefer"	0.183665
"Cara Black"	0.183613
"Jana Novotna"	0.182939
"Olga Barabanschikova"	0.182582
"Juan Antonio Marin"	0.182146
"Scott Draper"	0.182037
"Wayne Black"	0.181265
"Asa Carlsson"	0.181179
"Julian Alonso"	0.180451
"MaliVai Washington"	0.179923
"Nicolas Lapentti"	0.179515
"Magnus Norman"	0.179273
"Miriam Oremans"	0.179146
"Lisa Raymond"	0.178158
"Thomas Enqvist"	0.177903
"Daniel Nestor"	0.177838
"Amelie Mauresmo"	0.177614
"Henrieta Nagyova"	0.17712
"Sebastien Grosjean"	0.177061
"Andrei Medvedev"	0.176684
"Anne-Gaelle Sidot"	0.176039
"Todd Woodbridge"	0.175747
"Davide Sanguinetti"	0.175585
"Barbara Schett"	0.175474
"Brett Steven"	0.172962
"Natasha Zvereva"	0.171516
"Mark Philippoussis"	0.171468
"Sebastien Lareau"	0.170832
"Vince Spadea"	0.170383
"Tamarine Tanasugarn"	0.170366
"Leander Paes"	0.169843
"Hicham Arazi"	0.169513
Svorada	0.1695
"Michael Tebbutt"	0.169307
"Iva Majoli"	0.168734
"Xavier Malisse"	0.168551
"Mary Pierce"	0.168353
"Steve Campbell"	0.168163
"Marcelo Filippini"	0.167749
"Carlos Moya"	0.167573
"Conchita Martinez"	0.167477
"Tara Snyder"	0.167044
"Magnus Larsson"	0.166294
"Mark Knowles"	0.166094
"Barbara Rittner"	0.166078
"Chris Woodruff"	0.165753
"Marat Safin"	0.165193
"Dennis van Scheppingen"	0.165078
"Jonas Bjorkman"	0.164991
"Andrew Ilie"	0.164873
"Max Mirnyi"	0.164718
"Li Fang"	0.163528
"Jonathan Stark"	0.162496
"Fernando Meligeni"	0.16194
"Chanda Rubin"	0.161487
"Neville Godwin"	0.160256
"Greg Rusedski"	0.159684
"Els Callens"	0.159627
"Amanda Coetzer"	0.158625
"Elena Dementieva"	0.158266
Zelezny	0.158218
"Slavia Prague"	0.158197
"Gustavo Kuerten"	0.157655
"Cedric Pioline"	0.156597
"Juan Carlos Ferrero"	0.155254
"Kimiko Date"	0.154863
"Marcelo Rios"	0.154155
"Goran Ivanisevic"	0.153628
"Tim Henman"	0.153529
"Todd Martin"	0.152899
"Jan-Michael Gambill"	0.152063
"Mahesh Bhupathi"	0.151818
"Corina Morariu"	0.151317
"Kristie Boogert"	0.150658
"Rita Grande"	0.150346
"Richey Reneberg"	0.149903
"Thomas Muster"	0.149476
"Peter Nicol"	0.148999
"Pat Rafter"	0.148983
"Kim Clijsters"	0.147994
"Michael Stich"	0.147544
"Nicklas Kulti"	0.145606
"Kimberly Po"	0.144501
"Galo Blanco"	0.143855
"Stefan Edberg"	0.142398
"Alex Corretja"	0.142033
"Michael Chang"	0.141486
"Mark Woodforde"	0.141315
"Yevgeny Kafelnikov"	0.139784
"Arantxa Sanchez Vicario"	0.138077
"Guy Forget"	0.137627
"Arantxa Sanchez-Vicario"	0.135616
"Mary Joe Fernandez"	0.135575
Korda	0.135443
Stoltenberg	0.134883
"Australian Mark Philippoussis"	0.134532
"Jim Courier"	0.13427
"David Rikl"	0.133922
"Mirjana Lucic"	0.133257
"American Todd Martin"	0.133222
"Patrick Rafter"	0.132491
Bruguera	0.132406
Swardt	0.131061
"Wayne Arthurs"	0.131
Dragomir	0.130549
"Rodney Eyles"	0.128976
"American Chanda Rubin"	0.128973
"Barbara Schwartz"	0.128599
"Lleyton Hewitt"	0.127816
"Anna Kournikova"	0.12724
"Andres Gomez"	0.125897
"Katarina Studenikova"	0.1254
"Fung Permadi"	0.124254
Halard-Decugis	0.123154
"Peter Rasmussen"	0.123091
"Wang Shi-Ting"	0.123039
"Justin Gimelstob"	0.122634
"Alex O'Brien"	0.121263
Berasategui	0.12063
"Jennifer Capriati"	0.120557
Bjorkman	0.119768
"Jelena Dokic"	0.119549
"Lindsay Davenport"	0.118405
"Jacco Eltingh"	0.118354
Habsudova	0.11727
"Gong Zhichao"	0.117163
Damm	0.116285
"Martina Hingis"	0.115354
"Serena Williams"	0.114464
"American Pete Sampras"	0.114396
Kuerten	0.114027
"Jean-Philippe Gatien"	0.112586
def	0.10963
Schett	0.109527
"Camilla Martin"	0.109003
"Russian Yevgeny Kafelnikov"	0.108669
"Boris Becker"	0.108419
"Lori McNeil"	0.107604
"Partizan Belgrade"	0.105936
"Rika Hiraki"	0.105459
Prinosil	0.105309
"Diego Nargiso"	0.104417
"Monica Seles"	0.104127
Moya	0.102872
Nacional	0.102856
Henman	0.101683
Kafelnikov	0.101659
Corretja	0.101658
Vacek	0.100654
"Venus Williams"	0.100209
))
(Bohemia (desc 2143.84) (sims
"Australian state"	0.0788548
Luzon	0.0718861
"Rift Valley Province"	0.0705415
"Shan State"	0.0697133
Sumatra	0.0687707
Siberia	0.0673472
"San Diego County"	0.0630238
terminus	0.0611263
Sulawesi	0.0599183
"San Joaquin Valley"	0.0568869
Borneo	0.0563596
"Leeward Islands"	0.0555904
bourgeoisie	0.0534436
"bank rate"	0.0526241
monde	0.0515029
"North Island"	0.0501142
"Jilin Province"	0.0491077
Bronx	0.0489372
"Montgomery County"	0.0488114
"KwaZulu-Natal Province"	0.0479415
"Delta State"	0.046701
Sinai	0.0464567
"Bekaa Valley"	0.0461697
Judea	0.0460224
"Rocky Mountains"	0.045852
"Inner Mongolia"	0.0457993
Kyushu	0.0456418
"parliamentary democracy"	0.0453634
Appalachia	0.0449113
Delhi	0.0446974
Galilee	0.0445096
"right whale"	0.0435242
"Uttar Pradesh"	0.0434976
Piedmont	0.0434947
Himalayas	0.0432655
"Warren County"	0.0432046
"Dade County"	0.0427624
"San Fernando Valley"	0.0426861
midland	0.0421839
Calabria	0.042177
"New Territories"	0.0420051
Andes	0.0418816
"South Dakota"	0.0412834
Brasserie	0.0409645
"DeKalb County"	0.0406665
pacifism	0.0405721
"Jordan Valley"	0.0405641
Barrio	0.0405081
Queensland	0.0403873
))
(bohemian (desc 3440.37) (sims
poseur	0.063509
"Wild Man"	0.0604571
provincialism	0.0602097
housewife	0.059476
"free spirit"	0.0588253
do-gooder	0.0573092
hippy	0.057144
meccas	0.0569206
"art student"	0.0564785
"flower child"	0.0534623
hippie	0.0520411
urbanites	0.051683
immortal	0.0504906
misfit	0.0503407
speakeasy	0.0502651
feminist	0.0496866
punk	0.0495557
quintet	0.0492976
counterculture	0.0492319
"New Democrat"	0.0484583
brat	0.0480531
aristocrat	0.0479408
bum	0.0478506
songwriter	0.0476308
geisha	0.0470645
suburbanite	0.0465957
saxophonist	0.0463768
Clothier	0.046372
"femme fatale"	0.0461479
"good person"	0.0457961
celebs	0.0456562
schoolteacher	0.0452273
clarinetist	0.0450922
idiot	0.0447967
techies	0.0446971
supermodel	0.0446823
crooner	0.0446623
oldies	0.0446618
reactionary	0.044487
"film producer"	0.0443227
"fashion designer"	0.0440659
trumpeter	0.0440129
matron	0.04363
sculptor	0.0436212
socialite	0.0433212
courtesan	0.0431918
vocalist	0.0430774
"television star"	0.0429158
Jamaican	0.0429122
vagabond	0.0426942
"little leaguer"	0.0426932
"Mary Bono"	0.0426593
adopters	0.042617
capitalist	0.0425202
"rock group"	0.0424446
"second cousin"	0.0422283
categorization	0.0418183
idealist	0.041794
storyteller	0.0417516
aficionados	0.0415137
locution	0.0411923
"disk jockey"	0.0411693
jokester	0.0411452
"Orthodox Jews"	0.0410115
loon	0.0410026
literati	0.0407831
stagehand	0.0407757
stylist	0.0407541
"guitar player"	0.040547
individualism	0.0404917
Englishman	0.0403872
ingenue	0.0401551
clientele	0.0401348
))
(BOI (desc 3163.93) (sims
"Board of Investment"	0.202284
IEA	0.173168
HKTA	0.162838
TDC	0.144814
WEF	0.14294
"Defense Agency"	0.139526
Tat	0.138168
OCA	0.136197
SSB	0.131427
WIPO	0.131259
CSRC	0.13053
"China Youth Development Foundation"	0.130482
ADB	0.130158
"Commerce Ministry"	0.12923
"World Tourism Organization"	0.127838
ECA	0.127573
WFP	0.127147
NSC	0.124586
"Truth Commission"	0.124557
"Thai Foreign Ministry"	0.12232
INEC	0.122209
CSE	0.121701
TDB	0.120905
MII	0.119868
"Israeli Foreign Ministry"	0.119838
"Education Ministry"	0.119788
CIRC	0.119615
"Labor Ministry"	0.119477
"Industry Ministry"	0.117784
"Chinese Olympic Committee"	0.117049
CAA	0.115927
ESCAP	0.113745
IFC	0.113182
Wada	0.11285
ITC	0.112202
HKMA	0.112001
CSA	0.111975
"House Budget Committee"	0.11194
"Israeli Cabinet"	0.110723
UNCTAD	0.110691
UNAMET	0.110678
UNEP	0.109718
"Agriculture Ministry"	0.107558
"Russian Space Agency"	0.107361
CSC	0.106466
"U.S. Soccer Federation"	0.105553
Comelec	0.104783
PBSI	0.104691
JMC	0.104526
FAO	0.103382
"Home Ministry"	0.103254
MOFTEC	0.10306
IDB	0.102296
UNIDO	0.101981
"Health and Welfare Ministry"	0.101952
UNHCR	0.101628
"Education Department"	0.101172
"planning commission"	0.100618
"Airport Authority"	0.100568
IAEA	0.100465
"Senate Finance Committee"	0.100317
"Transportation Department"	0.100044
"Beijing Municipal Government"	0.0997849
"Finance Ministry"	0.0996623
UNDP	0.0996574
HKFA	0.0995925
"Senate Appropriations Committee"	0.0994229
OECD	0.0988098
"U.S. Defense Department"	0.0982677
"French Foreign Ministry"	0.0978291
ITU	0.0976268
"Sdn Bhd"	0.0974523
"Tourism Authority of Thailand"	0.0973553
"Electoral Commission"	0.0972821
"Olympic Council of Asia"	0.0968071
PBOC	0.0956825
"Executive Committee"	0.0953692
NRC	0.0949654
PUC	0.0947204
"Senate Commerce Committee"	0.0944897
CNTA	0.0943811
"Central Election Commission"	0.0940765
"U.S. Agriculture Department"	0.0940762
"House Appropriations Committee"	0.0925398
UNFPA	0.0924463
"Nuclear Regulatory Commission"	0.0923417
FIVB	0.0923327
"United Nations Conference on Trade and Development"	0.0922788
"Asian Development Bank"	0.0921412
"Philippine Central Bank"	0.0920976
EAC	0.0915578
Bi	0.0910136
IPU	0.090925
"House International Relations Committee"	0.0907572
USDA	0.0905819
CEC	0.0905473
"Justice Ministry"	0.090072
"municipal government"	0.0900419
CNPC	0.0898447
ARATS	0.0897528
FINA	0.0896906
"EU Commission"	0.089646
Interpol	0.0896047
"ethics committee"	0.0895928
"U.S. Fed"	0.088961
PB	0.0888093
"Culture Ministry"	0.0887725
"Badminton Association of Indonesia"	0.088502
USAID	0.0884361
"Russian Defense Ministry"	0.0884345
"National Economic Council"	0.0883373
CBI	0.0882822
ICRC	0.0882261
"Economic Planning Agency"	0.0871349
"U.S. Treasury Department"	0.0870833
"North Atlantic Council"	0.0870285
"Senate Budget Committee"	0.0870264
KONI	0.0867644
"Civil Aviation Authority"	0.0865401
"Ministry of Agriculture"	0.0863849
FAA	0.0863031
"Ministry of Forestry"	0.0862537
"Australian Olympic Committee"	0.0861931
"Hong Kong Tourist Association"	0.0859926
"Agriculture Department"	0.0859021
Eximbank	0.0858123
"Bank Indonesia"	0.0858055
FEC	0.0857075
"Senate Governmental Affairs Committee"	0.0856399
"Football Association"	0.0855208
DEP	0.0853649
BOC	0.0853605
"Forest Service"	0.084782
"House Commerce Committee"	0.0847194
ILO	0.0846243
"Shanghai Municipal Government"	0.084476
"Russian Security Council"	0.084079
FDA	0.083984
"Thai Commerce Ministry"	0.0839274
"Inter-Parliamentary Union"	0.0835204
"Transport Ministry"	0.0835023
UNICEF	0.0833426
GEC	0.0832727
"Central Bank of Nigeria"	0.0828729
"State Planning Commission"	0.0825876
CCF	0.0824681
SPDC	0.082402
FCC	0.0823597
"Interior Department"	0.0823437
BSF	0.0823094
DEA	0.0822426
CBK	0.0820738
"Census Bureau"	0.0820025
KPA	0.0819986
SFC	0.0819367
NTSB	0.0818624
ICTR	0.0816623
EBRD	0.0812568
OAS	0.0811436
"Xinhua News Agency Hong Kong Branch"	0.0810754
"Ministry of International Trade and Industry"	0.0810692
OAU	0.0808792
"Ministry of Science"	0.0808011
"Ministry of Industry"	0.0807199
NHTSA	0.0804053
CCB	0.0802233
"NPC Standing Committee"	0.080115
"Philippine Senate"	0.0800887
"U.S. Export-Import Bank"	0.080066
NCI	0.0799546
"World Bank"	0.0799075
UCI	0.0798686
ACB	0.0795846
"Health Care Financing Administration"	0.0794351
FEMA	0.0794181
CMAG	0.0794163
"U.N. World Food Program"	0.0793968
"Port Authority"	0.0791108
CAAC	0.0791071
"Department of Agriculture"	0.0791053
NASD	0.0789877
UNESCO	0.0789223
PNP	0.0789131
"Board of Elections"	0.0788928
UNDCP	0.0787341
"Department of Environment"	0.0784596
EC	0.0784497
NEA	0.0784472
IDC	0.0784011
"Health Ministry"	0.0781195
CNOOC	0.0778918
FTC	0.0778865
"Arab League"	0.0778795
"Health Department"	0.0778271
"election commission"	0.077764
Nepa	0.0774883
CAF	0.0773832
PSC	0.0773148
FSA	0.0773087
Telkom	0.0772679
))
(boil (desc 8839.83) (sims
simmer	0.325163
saucepan	0.105722
"Dutch oven"	0.102736
skillet	0.0982196
butter	0.0915364
fruition	0.0822243
broth	0.0799547
oven	0.0765605
pot	0.0723392
"olive oil"	0.070988
bisque	0.0701506
Garlic	0.068799
pan	0.064974
mixture	0.0609955
stockpot	0.0600545
Casserole	0.0595342
margarine	0.0587734
microwave	0.0587482
"egg yolk"	0.058307
broiler	0.056884
cornstarch	0.0565936
"room temperature"	0.0554826
sauce	0.0548562
wok	0.0546499
"tomato sauce"	0.0536204
vinegar	0.0531392
chowder	0.0520796
"lemon juice"	0.051913
cooking	0.0507621
fryer	0.0497864
Fahrenheit	0.0477572
Liquid	0.0471663
potato	0.045978
seasoning	0.0449085
"bay leaf"	0.044696
onion	0.0439818
gelatin	0.0435282
juice	0.0430163
pasta	0.042961
flour	0.042085
mussel	0.0420727
"frying pan"	0.0409401
))
(boiler (desc 10245.7) (sims
furnace	0.188022
"water heater"	0.179173
"heating system"	0.155655
turbine	0.154607
"steam turbine"	0.144184
generator	0.140567
stove	0.133585
"water pump"	0.114102
"power plant"	0.10876
kiln	0.107907
reactor	0.107498
conditioner	0.103353
heater	0.101983
"storage tank"	0.0995886
pipe	0.0995132
radiator	0.0988513
dryer	0.0969072
incinerator	0.0960174
"diesel engine"	0.095481
transformer	0.0948751
chimney	0.094015
alternator	0.0898724
air-conditioner	0.084245
"steam engine"	0.0841355
heating	0.0824021
machinery	0.0822224
"household appliance"	0.0816069
fireplace	0.080808
equipment	0.0804275
burner	0.0802355
turbogenerator	0.0794734
duct	0.079472
"gas turbine"	0.0794667
engine	0.0789752
"nuclear reactor"	0.0780505
"electronic equipment"	0.077931
tank	0.0774183
valve	0.0768129
appliance	0.0764049
"motor vehicle"	0.0762193
wiring	0.0750118
"cooling system"	0.0742569
"solar cell"	0.0729273
"transmission line"	0.0728805
"washing machine"	0.0716861
"electrical system"	0.0707493
"water system"	0.0706744
"machine tool"	0.0706396
"blast furnace"	0.0702837
"water tank"	0.0702629
"power station"	0.0695583
"pumping station"	0.0694917
"electric motor"	0.0693789
"space heater"	0.0688214
motor	0.0687824
oven	0.06802
skylight	0.0678465
substation	0.0676952
plumbing	0.0670371
purifier	0.066855
"gas plant"	0.0666858
compressor	0.0663088
"communications equipment"	0.0661669
faucet	0.0661138
tanker	0.0659735
toilet	0.0653939
elevator	0.0650209
effluent	0.0649246
pipeline	0.0648349
"sewer line"	0.0645498
"production line"	0.0635284
automobile	0.0633815
"control system"	0.0631603
"gas tank"	0.0631601
"rolling stock"	0.0630866
propeller	0.0625986
Coal	0.0624714
converter	0.0621932
smokestack	0.0619671
briquette	0.0619222
"microwave oven"	0.0615686
refrigerator	0.0611474
"mainframe computer"	0.0609521
refinery	0.0608529
"assembly line"	0.0605515
"water pipe"	0.0603413
air-conditioning	0.0602884
"gas stove"	0.059771
"production equipment"	0.0584874
insulation	0.0579492
tube	0.0578715
"oil refinery"	0.0576535
"fuel cell"	0.0575033
propane	0.0574619
GRIDDLE	0.0573424
"power system"	0.0570696
"solar panel"	0.0566461
locomotive	0.0566304
"spare part"	0.0564107
"sewer system"	0.056312
"rocket engine"	0.0562386
"sprinkler system"	0.0561045
"sugar refinery"	0.0557502
conditioning	0.0556053
"traffic light"	0.055538
Filtration	0.0554786
container	0.0550612
hydrogen	0.055014
greenhouse	0.0547803
"sewage system"	0.0544689
lubricant	0.0542168
lantern	0.0541804
petrochemical	0.0541143
"steam locomotive"	0.0539177
"oil well"	0.0538124
"kerosene lamp"	0.0537582
windmill	0.053732
"distribution system"	0.0535415
"gas line"	0.0532446
kettle	0.0531934
avionics	0.0531905
"tv set"	0.052995
"medical instrument"	0.0528633
"building material"	0.0526156
"X-ray machine"	0.0525058
mill	0.0524227
"home appliance"	0.0523903
"industrial enterprise"	0.0521812
jetty	0.0520754
"telephone system"	0.052052
"lawn mower"	0.0519958
"oil rig"	0.0517408
battery	0.0515479
roofing	0.0513284
"drainage system"	0.0511941
chemical	0.0510946
shipbuilding	0.0509451
forklift	0.0508693
dam	0.0508253
"telephone network"	0.0508041
hose	0.050801
scaffold	0.0504836
smelters	0.0502606
lamp	0.0502322
"street lamp"	0.0501356
distillery	0.0501038
washer	0.0500646
firecracker	0.0500505
analyzer	0.0500111
electric	0.0500051
Warehouse	0.0498255
electricity	0.0495938
roof	0.0495739
fitting	0.0495564
"oil pipeline"	0.0494082
microwave	0.0491904
"public toilet"	0.0488224
"communication system"	0.0486721
tractor	0.0486258
"instrument panel"	0.0485052
"water main"	0.0483861
"power line"	0.0482671
"phone system"	0.0481902
"passenger car"	0.0481447
"solar energy"	0.0480789
"aircraft engine"	0.0480759
"ventilation system"	0.0480727
electronics	0.0478137
textile	0.0477575
storehouse	0.0476648
torpedo	0.0476543
propulsion	0.047373
methane	0.0472997
grid	0.0469391
fastener	0.0466765
cylinder	0.0466372
"container ship"	0.0465869
dishwasher	0.0465415
auto	0.0464674
"manufacturing plant"	0.0463482
"power grid"	0.0462795
mower	0.0461631
"air-to-air missile"	0.0461577
Projector	0.0461324
"trading floor"	0.0460523
fertilizer	0.0459605
sheeting	0.045953
sprinkler	0.0458112
"radio transmitter"	0.0457748
reservoir	0.0457092
pot	0.0456971
dumps	0.0456884
"paper mill"	0.0456637
airplane	0.0456272
nozzle	0.0456013
"fire extinguisher"	0.0455172
silo	0.0454289
sawmill	0.0453601
"gasoline engine"	0.0453232
Lighting	0.0452764
))
(Boilermakers (desc 3762.96) (sims
Hawkeyes	0.272954
Sooners	0.254866
"Scarlet Knights"	0.246376
"Golden Hurricane"	0.24163
"Tar Heels"	0.240772
"blue devil"	0.236598
Lobos	0.231474
buckeye	0.228856
"Red Storm"	0.228577
Minutemen	0.224111
bearcat	0.223451
"Crimson Tide"	0.222918
gamecock	0.221233
Huskers	0.214947
Razorback	0.212949
Wolfpack	0.21201
wildcat	0.209571
Hokies	0.20916
Jayhawks	0.208406
"Nittany Lions"	0.20591
Wolverine	0.201544
Seminoles	0.196734
terrapin	0.194971
Vols	0.192858
Gators	0.190152
"Red Raiders"	0.189891
RedHawks	0.189211
Spartan	0.188482
Illini	0.18665
Aggies	0.182054
Cornhusker	0.179661
matador	0.179387
cougar	0.17879
bulldog	0.178352
badger	0.177918
Pepperdine	0.176743
"Fighting Irish"	0.175717
Purdue	0.174048
NAU	0.173873
husky	0.170688
Longhorn	0.168864
Trojan	0.167983
"Horned Frogs"	0.167661
Stephenville	0.167419
Hoosier	0.163512
K-State	0.160616
OSU	0.158989
UAB	0.157931
Buffaloes	0.157886
Gonzaga	0.157122
"Iowa State"	0.156905
"Southwest Missouri State"	0.156118
"yellow jacket"	0.154488
Terps	0.154027
UMass	0.15267
Bucs	0.152567
Sonics	0.152308
Starzz	0.151269
Timberwolves	0.150374
"Old Dominion"	0.150244
ASU	0.149093
"Georgia Southern"	0.148558
"Seton Hall"	0.148183
"Kansas State"	0.147601
gopher	0.146683
UConn	0.143563
"Trail Blazers"	0.141747
Samford	0.14109
BYU	0.138839
LSU	0.138437
MetroStars	0.137104
Cavs	0.136962
"Arkansas State"	0.135928
"Ohio State"	0.135765
Hoya	0.135486
Tulane	0.13525
"Texas Tech"	0.134522
"Michigan State"	0.134484
bruin	0.134287
CSUN	0.133893
"Mississippi State"	0.133455
Hofstra	0.133384
"N.C. State"	0.133188
BEARS	0.132763
cavalier	0.132451
"Penn State"	0.132161
Eagles	0.131711
Rutgers	0.13134
Nicol	0.131164
owl	0.129504
DePaul	0.128926
"Oregon State"	0.128873
bobcat	0.128142
"Louisiana Tech"	0.127711
lumberjack	0.127471
Orangemen	0.127435
Rattler	0.126841
USC	0.126792
Steelers	0.125055
"Virginia Tech"	0.12499
bronco	0.124697
Av	0.124366
Halard-Decugis	0.123359
sixer	0.123013
TCU	0.122927
Seahawks	0.122695
Bengals	0.12254
piston	0.122334
BUCCANEER	0.121572
Utes	0.12119
MSU	0.120661
Henman	0.12044
"Oklahoma State"	0.120077
Capriati	0.119801
"Saint Louis"	0.119775
Fordham	0.119218
Sparks	0.117833
UNT	0.117763
"Ong Ewe Hock"	0.117719
SMU	0.117457
"Northern Arizona"	0.116916
"Phenix City"	0.116782
ou	0.116486
Stanford	0.115662
UCLA	0.114712
Redskin	0.114628
Marquette	0.114571
"St. Bonaventure"	0.1141
Tulsa	0.113965
Spadea	0.113229
"North Carolina State"	0.112939
grizzly	0.112607
Xavier	0.112561
pacer	0.112387
"Florida State"	0.112386
Hornet	0.112098
tech	0.111827
"Franco Squillari"	0.11138
Syracuse	0.110632
Cal	0.110526
blazer	0.110104
"Dallas Burn"	0.110091
Lehigh	0.109744
"Montana State"	0.109467
FSU	0.10919
charger	0.109159
"Appalachian State"	0.108878
"Peter Rasmussen"	0.108549
Evansville	0.108288
beaver	0.108059
Huber	0.108025
Baylor	0.107873
rios	0.107852
Viking	0.107435
Rusedski	0.107244
Supersonics	0.107205
"Weber State"	0.107134
"Los Angeles Galaxy"	0.106448
Alabama-Birmingham	0.106363
"Francisco Clavet"	0.106242
Knicks	0.106217
Mantilla	0.106053
Villanova	0.106008
Clemson	0.105945
"UC Santa Barbara"	0.105643
Celtics	0.105185
oiler	0.105176
"Brian Moehler"	0.104963
Duke	0.104904
"Maple Leafs"	0.104753
BC	0.104748
"American Andre Agassi"	0.104714
Enqvist	0.104704
Ivanisevic	0.104064
Berasategui	0.104022
ram	0.103831
devil	0.103749
Stoltenberg	0.103616
Raptor	0.103391
"Wang Chen"	0.103278
Dragomir	0.103239
yank	0.10323
"Southern Cal"	0.103221
Springbok	0.103036
"Phoenix Mercury"	0.102587
Raven	0.102161
Lakers	0.102028
Kafelnikov	0.101958
Coetzer	0.101847
"Arizona State"	0.10178
"Brigham Young"	0.1016
"Georgia Tech"	0.101563
Bayern	0.10151
Blackhawks	0.101433
Pioline	0.101401
commodore	0.101365
comet	0.101259
Schnyder	0.101149
"San Jose State"	0.101013
maverick	0.100944
UNLV	0.100752
"Van Roost"	0.100631
"Russ Ortiz"	0.100472
packer	0.100077
"American Chanda Rubin"	0.100003
))
(boilerplate (desc 2057.34) (sims
one-word	0.112522
spoken	0.0722687
hard-edged	0.0690136
baloney	0.0588528
"sour grapes"	0.0569597
alarmist	0.0549287
aphorism	0.0527648
XML	0.0520254
"stream of consciousness"	0.0508286
Kiswahili	0.0506821
infomercial	0.0499376
Braille	0.047839
protectionist	0.0467519
moralizing	0.0462824
keynote	0.0459301
"morality play"	0.0456088
Breton	0.0451674
overlong	0.0448981
whodunit	0.0447394
platitude	0.0440419
gotcha	0.0437371
ruse	0.0435129
four-point	0.0431895
nostrum	0.0429597
"New Testament"	0.042798
one-minute	0.0421301
folio	0.0420905
pantomime	0.0419163
cipher	0.0418804
"landscape painting"	0.0410848
throwaway	0.0407433
Aramaic	0.0407375
postgame	0.0404077
HTML	0.040215
"saber rattling"	0.0401285
"Passion play"	0.0400738
taunting	0.0400664
))
(Bois (desc 1770.49) (sims
Val	0.106544
siecle	0.0940391
vin	0.0885408
monde	0.0840074
Granik	0.0773157
Midi	0.0739193
Rhone	0.0709542
Pape	0.0692087
"Maurier Classic"	0.0626421
Eaux	0.0602334
Brasil	0.0597545
Maurier	0.0594218
"Maurier Open"	0.0563699
Soleil	0.0547486
sable	0.054114
Pont	0.0526007
Eames	0.0521036
"Champs Elysees"	0.0467362
amis	0.0461087
O'Brien's	0.0450451
Blanc	0.042917
"Credit Agricole"	0.0425186
Bidwill	0.0419016
Liege	0.0408941
Julio	0.0402289
chaise	0.0400713
))
(Boise (desc 4724.86) (sims
"Garden City"	0.119193
Winston-Salem	0.117174
Raleigh	0.114865
Omaha	0.113634
"East Orange"	0.112507
Honolulu	0.110927
Spokane	0.10805
Minneapolis	0.107486
LAKEWOOD	0.105934
Youngstown	0.105306
"Great Neck"	0.10447
"Colorado Springs"	0.102604
"Round Rock"	0.102457
Portland	0.102249
Sacramento	0.100823
Wichita	0.100442
Newark	0.100414
Tacoma	0.100397
Harrisburg	0.0989234
Morristown	0.0987406
"Guatemala City"	0.0983566
"Fort Worth"	0.0981889
Hartford	0.0980566
Indianapolis	0.0974227
"White Plains"	0.0971036
"Oklahoma City"	0.0968933
Bangor	0.0963432
Knoxville	0.0961427
"San Antonio"	0.0958304
Memphis	0.0953674
"Des Moines"	0.0952628
Burlington	0.0945463
Greenville	0.0945305
Stamford	0.0938798
Austin	0.0927856
Montclair	0.0927827
Tampa	0.0925668
anchorage	0.0924481
"San Diego"	0.0919133
Milwaukee	0.091599
Wilmington	0.0915488
Huntsville	0.0914711
Plano	0.0913648
Tucson	0.0913303
Lubbock	0.09072
"Dallas-Fort Worth"	0.0903105
"New Orleans"	0.0901642
Plattsburgh	0.0900917
Medford	0.0896509
Bellevue	0.0888947
Denver	0.0888549
Utica	0.0884446
"West Orange"	0.0884193
Charleston	0.0876977
"St. Paul"	0.0876634
Albany	0.087438
Phoenix	0.087364
Fresno	0.087321
Odessa	0.0868989
Abilene	0.086828
Albuquerque	0.0862848
Fayetteville	0.0860672
Philadelphia	0.0860605
"Fort Lauderdale"	0.0859857
"San Juan"	0.0857921
"Chapel Hill"	0.0850102
"Little Rock"	0.084998
Birmingham	0.0848884
Watertown	0.0845572
"El Paso"	0.0843924
Springfield	0.0842684
Louisville	0.0841347
"Cherry Hill"	0.0839457
"Virginia Beach"	0.0839043
ASHEVILLE	0.083894
"St. Petersburg"	0.0837268
"Saratoga Springs"	0.0837171
Providence	0.0835552
Yonkers	0.0834821
Halifax	0.0831156
Orlando	0.0830888
"Salt Lake City"	0.0830797
"Washington D.C."	0.0830261
Greensboro	0.0828245
BOGOTA	0.0827282
Nashville	0.0825555
TALLAHASSEE	0.0824179
Lewiston	0.0824089
Hillsboro	0.0822364
"Vero Beach"	0.0821871
Baltimore	0.0820873
Ithaca	0.0820444
"Long Beach"	0.0818173
"Kansas City"	0.0816561
Murmansk	0.081594
Chappaqua	0.0813267
Tempe	0.081296
Norfolk	0.0812459
Charlotte	0.0811685
Marietta	0.0810629
"New Haven"	0.0809262
Idaho	0.0808736
Concord	0.080796
"San Jose"	0.0803788
"Fort Lee"	0.0802019
"Delray Beach"	0.0799385
Gainesville	0.0799375
Manchester	0.0798295
Bloomington	0.0797798
Montreal	0.0797784
Salisbury	0.0795031
"St. Louis"	0.079489
Englewood	0.0794146
"Thousand Oaks"	0.079194
Galveston	0.0789301
Farmington	0.0786482
"West Palm Beach"	0.0785524
Shreveport	0.0782605
Toronto	0.07819
Somerville	0.0781297
Savannah	0.0780437
"Palo Alto"	0.0779546
Columbus	0.0779143
Beaumont	0.077602
Paterson	0.0774517
"Palm Beach Gardens"	0.0771687
Chattanooga	0.0770719
canton	0.0768296
Cincinnati	0.0767617
Alameda	0.076506
Akron	0.0764177
Juarez	0.0762946
Winnipeg	0.076255
"Cedar Rapids"	0.0762235
Reston	0.0762191
Sausalito	0.0762023
"Baton Rouge"	0.076166
"Jersey City"	0.0751309
"Santa Fe"	0.0751259
Richmond	0.0751094
Pittsburgh	0.0749129
Tulsa	0.0749078
"Sao Paulo"	0.0746768
Woodbridge	0.0745441
Rochester	0.0741485
"Boca Raton"	0.0738848
Americus	0.0738682
"Union City"	0.0737547
Norcross	0.0737014
Missoula	0.073561
Naples	0.0735462
Middletown	0.0735408
"Santo Domingo"	0.07343
Glasgow	0.0734132
Duluth	0.0732298
Alpharetta	0.0732106
Arlington	0.0730844
Madison	0.0730295
Alcorn	0.0730277
Braintree	0.0729887
"Newport Beach"	0.0723552
Denton	0.0719844
Fremont	0.071958
Eugene	0.071801
Worcester	0.0716911
Warwick	0.0715277
Pittsfield	0.0713261
Schenectady	0.0710806
Amarillo	0.0710686
"Las Vegas"	0.0710605
Vancouver	0.0709741
Augusta	0.0709727
Fairfield	0.070969
Pasadena	0.0709444
"Fort Wayne"	0.0709162
BUCHAREST	0.0709028
"Rocky Mount"	0.0708398
"Silver Spring"	0.0707376
Guadalajara	0.0705068
Vilnius	0.0703502
"Northern Virginia"	0.0702549
Provo	0.0702528
Lexington	0.0701743
Stansted	0.0701735
Podgorica	0.0700458
"Port St. Lucie"	0.0700391
NIS	0.070029
"San Marcos"	0.069786
Managua	0.0697024
TEGUCIGALPA	0.0696856
Falmouth	0.0696656
Tuscaloosa	0.06963
Belfast	0.0695682
Harlingen	0.069419
Westfield	0.0692627
Waterbury	0.0692222
Dublin	0.0690857
Renton	0.0689452
Dayton	0.0689031
Cambridge	0.0688712
))
("Boise State" (desc 3589.39) (sims
"New Mexico State"	0.182004
"Utah State"	0.180438
"San Jose State"	0.150533
"Oregon State"	0.148711
"San Diego State"	0.14243
"Northern Arizona"	0.136974
"Arizona State"	0.136224
Purdue	0.134171
"Louisiana Tech"	0.133349
Alabama-Birmingham	0.125623
"Southwest Missouri State"	0.125103
"Washington State"	0.1248
"Texas Tech"	0.118193
"North Carolina State"	0.114452
Cal	0.11353
DePaul	0.108729
"Penn State"	0.108532
"Nevada-Las Vegas"	0.10537
"Arkansas State"	0.103426
Stanford	0.103253
"Fresno State"	0.102536
Oregon	0.102049
"Washington Redskins"	0.101884
"Florida State"	0.101598
"Idaho State"	0.101391
"Brigham Young"	0.100366
BYU	0.0997924
"Boston College"	0.0993928
"Oklahoma State"	0.0988663
"Philadelphia Eagles"	0.0976912
northwestern	0.0972148
Eagles	0.0967373
"Kansas State"	0.0961567
"Southern Mississippi"	0.0961222
Gonzaga	0.0961009
"Florida Panthers"	0.095807
"New Orleans Saints"	0.0944361
"St. Bonaventure"	0.0944161
Villanova	0.094378
"Michigan State"	0.0942805
"Notre Dame"	0.0942749
"Indianapolis Colts"	0.0932608
USC	0.0932131
Baylor	0.0927904
"Ball State"	0.0912316
Pepperdine	0.0910776
"Iowa State"	0.0898129
"Eastern Washington"	0.089404
"Mississippi State"	0.0891114
Rutgers	0.08902
"Seattle Seahawks"	0.0886287
Vanderbilt	0.0869785
"New York Jets"	0.0860873
"Edmonton Oilers"	0.0853624
"Virginia Tech"	0.0847384
"Arizona Cardinals"	0.0846899
"New York Giants"	0.0843674
Syracuse	0.0841492
"Ohio State"	0.0841001
"Kansas City Royals"	0.0838056
"Appalachian State"	0.083518
"Colorado State"	0.0822723
"Wake Forest"	0.0822577
"Long Beach State"	0.0820237
"Tampa Bay"	0.0814235
"Chicago White Sox"	0.0810555
TCU	0.0807277
"Los Angeles Clippers"	0.0802403
Redskin	0.0800961
"N.C. State"	0.0797215
Indiana	0.0793913
"Calgary Flames"	0.0792798
"North Texas"	0.0781655
"San Francisco Giants"	0.0781192
"Seton Hall"	0.0781141
"Loyola Marymount"	0.0778676
UNLV	0.0775556
"Colorado Rockies"	0.0768762
Auburn	0.0768703
"Maple Leafs"	0.0764336
Tulsa	0.0760957
"Georgia Tech"	0.0759387
"Montana State"	0.0757627
"San Francisco @@ers"	0.0756987
"San Jose Sharks"	0.0756411
"Tampa Bay Lightning"	0.0755818
"New York Liberty"	0.0755546
Alabama	0.0755377
"Minnesota Vikings"	0.0743129
LSU	0.0740871
"Tampa Bay Buccaneers"	0.0737254
"Cal State Northridge"	0.0732032
"Kansas City Chiefs"	0.073063
"Weber State"	0.0724701
Xavier	0.0720572
"Oakland Athletics"	0.0713989
"Minnesota Twins"	0.0713328
"Miami Fusion"	0.0712066
"Milwaukee Brewers"	0.0710965
"Dallas Burn"	0.0709707
"Buffalo Sabres"	0.0707973
"Mighty Ducks"	0.0706522
"James Madison"	0.070612
oiler	0.070183
"Montreal Expos"	0.0699655
"Dallas Cowboys"	0.0696904
"Detroit Tigers"	0.069653
"New England Patriots"	0.0695994
Nebraska	0.069097
"Arizona Diamondbacks"	0.0690612
Tulane	0.0689029
Clemson	0.0687934
"Cleveland Indians"	0.0686144
UAB	0.0684225
Kentucky	0.068125
"San Antonio Spurs"	0.0680137
"Chicago Bears"	0.0678116
SMU	0.0677518
Wolfpack	0.0676294
"Seattle Mariners"	0.0669048
Arkansas	0.066771
Hawkeyes	0.0666789
"West Virginia"	0.0666484
"New York-New Jersey MetroStars"	0.0665075
"New York Islanders"	0.0659119
cavalier	0.0658737
"Buffalo Bills"	0.0655441
"Pittsburgh Penguins"	0.0653475
"Jackson State"	0.0653248
"Tampa Bay Devil Rays"	0.0651833
"Southern California"	0.0649833
"Philadelphia Phillies"	0.0642898
"Houston Astros"	0.0642264
"Golden State"	0.0640957
"Carolina Hurricanes"	0.0639886
"Green Bay"	0.0637129
Wyoming	0.0636293
"Washington Capitals"	0.0635994
Wisconsin	0.0635241
ASU	0.0633015
"St. Louis Blues"	0.0632338
"Ottawa Senators"	0.0632058
"Oakland Raiders"	0.0629921
"Chicago Fire"	0.0626868
"Toronto Maple Leafs"	0.0624239
"Texas Christian"	0.0622181
"Denver Broncos"	0.06207
"Miami Dolphins"	0.0617173
"Anaheim Angels"	0.0613716
"D.C. United"	0.0613219
"Baltimore Orioles"	0.060841
"Boston Red Sox"	0.0608106
Carolina	0.0607203
"UC Santa Barbara"	0.0603019
"Carolina Panthers"	0.0599335
bronco	0.0598562
"San Diego Padres"	0.0597212
"New Mexico"	0.0597133
Phillies	0.0593629
Padre	0.059132
panther	0.0591194
"San Diego Chargers"	0.0590649
"Cleveland Browns"	0.0584519
"Toronto Blue Jays"	0.0581046
"St. Louis Cardinals"	0.0573596
"Sacramento State"	0.057284
Fordham	0.0572538
"Florida Marlins"	0.0569135
A's	0.0567547
"St. John"	0.0567102
"Georgia Southern"	0.0561026
"White Sox"	0.0560433
"New York Rangers"	0.0559811
"CHARLOTTE STING"	0.0558754
"Boston Celtics"	0.055599
Valparaiso	0.0553595
FSU	0.0553018
"New York Knicks"	0.0552834
"Indiana Pacers"	0.0552445
"Nashville Predators"	0.0551514
Timberwolves	0.0550619
"devil ray"	0.0550354
Louisville	0.0549013
UMass	0.0547178
"Vancouver Grizzlies"	0.0546334
"Vancouver Canucks"	0.0544966
"Golden State Warriors"	0.053994
"Los Angeles Lakers"	0.0539707
"Chicago Cubs"	0.0538865
"Phenix City"	0.0537621
"Continental Airlines Arena"	0.0536647
Cal.	0.0536338
"Trail Blazers"	0.0534901
"Utah Jazz"	0.0532851
"Minnesota Timberwolves"	0.0531386
"St. Louis Rams"	0.0530982
CSUN	0.0528581
"Atlanta Hawks"	0.0526456
"Cincinnati Reds"	0.0525066
"Sacramento Kings"	0.052395
))
(BOJ (desc 2297.07) (sims
RBA	0.242588
"Bank of Japan"	0.208118
"U.S. Fed"	0.164825
"Bank of Israel"	0.161725
"Bank of Canada"	0.159659
CBK	0.157422
"Reserve Bank of Australia"	0.15238
"U.S. Federal Reserve"	0.141185
ECB	0.139579
GSS	0.12582
"Bank of Italy"	0.123588
"reserve bank"	0.12121
"Defense Agency"	0.119638
FOMC	0.116019
"Philippine Central Bank"	0.113083
Bundesbank	0.112978
Fed	0.112671
"Federal Reserve Board"	0.107901
"central bank"	0.104644
"Reserve Bank of India"	0.104272
Govt	0.0996091
"Bank of Thailand"	0.0987104
"Bank of England"	0.0986458
"Bank Negara"	0.0984148
"European Central Bank"	0.0973223
EOHR	0.096513
PTT	0.0956072
PBOC	0.0949364
"Bank Indonesia"	0.094936
BIA	0.094423
OCA	0.0942342
"Bank of Uganda"	0.0928317
"U.S. Defense Department"	0.0927942
Bi	0.0907393
PNP	0.0904707
"Federal Reserve"	0.0882948
AMF	0.0852497
"Health and Welfare Ministry"	0.0836954
"Israeli Cabinet"	0.0834595
"national bank"	0.0833411
"EU Commission"	0.0828163
USEC	0.0823572
ISO	0.0819572
HKMA	0.0812562
Tat	0.0806436
Moody's	0.0802062
"rate cut"	0.0797456
"Monetary Policy Committee"	0.0792656
NHTSA	0.0791566
"U.S. Congress"	0.0788154
CBI	0.0785436
"Central Bank of Nigeria"	0.0780353
Bulog	0.0779516
CAA	0.077946
EPA	0.0777937
"U.S. STOCKS"	0.0777767
"Central Election Commission"	0.0777446
CEC	0.0774634
IEA	0.077421
Massport	0.0764034
IAI	0.0762475
EBRD	0.0762006
UNAMET	0.0761492
NRC	0.075762
BOI	0.0755727
SSB	0.0743016
"Bank of Zambia"	0.073629
SDB	0.0733343
FSA	0.0732204
"Truth Commission"	0.0724618
OPEC	0.0724084
USDA	0.0721228
"U.S. Agriculture Department"	0.0721038
CDB	0.071978
TDC	0.0716563
"Hong Kong Monetary Authority"	0.0700315
UCI	0.0698291
ECA	0.0698229
AIG	0.0697375
"Education Department"	0.069709
"Russian Space Agency"	0.0695784
ILO	0.0695098
F.A	0.069413
Ruthardt	0.0692972
"Central Bank of Kenya"	0.068792
richer	0.0686427
Chris-Craft	0.0685834
FCC	0.0681734
"monetary fund"	0.0681173
HKFA	0.0679796
ITC	0.0679245
BoT	0.0678516
"Bank of Korea"	0.0674528
"Economic Planning Agency"	0.0672875
PBC	0.0670227
CBO	0.0668779
INEC	0.066335
ABRI	0.0661
KPU	0.0657616
USTA	0.0653476
SOCOG	0.0651872
API	0.065102
PBSI	0.0650661
mid-year	0.0649437
"Transport Ministry"	0.0649033
McKesson	0.0645387
Biggs	0.0642809
SDPC	0.0640387
Shandling	0.0639047
goverment	0.0638535
ITF	0.0638399
"US Supreme Court"	0.0638279
"Housing Authority"	0.0636951
UNTAET	0.0635623
"British Foreign Office"	0.0635428
Zagat	0.0632144
"Israeli Army"	0.0629406
KONI	0.0623662
HCFA	0.0621559
CNA	0.0621343
CFTC	0.0619575
Wada	0.0617391
DEP	0.0615292
"U.S. government"	0.0612988
APA	0.0611617
ATC	0.0611169
CMAG	0.0610117
NASD	0.0609229
SLOC	0.0608774
ADB	0.0608759
SJC	0.0607932
CSA	0.0607748
DFB	0.0607663
SAFY	0.0606044
NSC	0.0605928
"Jack Straw"	0.0605137
"Thermo Electron"	0.0604045
"National Sports Council"	0.0603763
Rudman	0.060341
SGI	0.0602177
AOC	0.0601891
FEC	0.0601043
Lilco	0.0600966
HHS	0.0600502
Ota	0.0599869
"El Al"	0.0599164
ICC	0.0599116
"Public Security Ministry"	0.0598825
Icahn	0.0598557
"Labor Ministry"	0.0596184
GPU	0.0595476
DPP	0.0593803
Bridgestone	0.0593603
Telkom	0.0592573
"Federal Open Market Committee"	0.05919
Tenneco	0.0590953
NORTHROP	0.0590049
Pape	0.0586394
WIPO	0.0586255
FTC	0.0585465
"Forest Service"	0.0585057
PUC	0.0583283
BOC	0.0580314
ama	0.0579511
SEABROOK	0.057938
"Gulf Air"	0.0578751
"key rate"	0.0577336
Daimler	0.0577099
midyear	0.0576147
PECC	0.0576018
"Commerce Ministry"	0.0575758
Baer	0.0573624
RJR	0.0572613
Felton	0.0571858
"Adobe Systems"	0.0570155
"Investors Service"	0.0570007
PCC	0.0569491
CSE	0.0569137
IAAF	0.0568986
Iomega	0.0567826
"Airport Authority"	0.0567365
RNC	0.0566732
"Labor office"	0.0566228
"Shin Bet"	0.0566178
ESCAP	0.0565577
Icann	0.0565348
Simons	0.0564735
Kroll	0.0562793
"Clinton Administration"	0.0561989
"P&AMP;G"	0.0561596
"ethics committee"	0.0560289
OAS	0.0559322
SDP	0.0559049
Bochy	0.0558998
"Finance Ministry"	0.0558311
"U.S. Treasury Department"	0.0557267
NTSB	0.0557179
"British government"	0.0556319
BofA	0.0555964
DMV	0.0551652
))
(BOK (desc 1148.61) (sims
FSA	0.104544
FPL	0.100606
WI	0.0936405
UNAMET	0.086116
SSB	0.0845559
"British Foreign Office"	0.0816011
Majerle	0.0805644
"Labor Ministry"	0.0790005
CCB	0.0779555
CAA	0.0765269
IAI	0.0736288
BIA	0.0733736
Battie	0.0712284
"Russian Defense Ministry"	0.0706033
SBA	0.0685827
FEMA	0.0683502
"Russian Interior Ministry"	0.067463
Nepa	0.0669692
"Education Department"	0.066914
"Defense Agency"	0.066786
Caltrans	0.06676
"US State Department"	0.0656345
"Culture Ministry"	0.0655637
ICBC	0.0652687
Bridgestone	0.0652163
NCI	0.0651678
"Airport Authority"	0.0650636
"Israeli Foreign Ministry"	0.0646843
GPU	0.0636275
EBRD	0.0633546
"Georgia Power"	0.0630212
"Con Ed"	0.0623119
GSS	0.0622552
"Con Edison"	0.0620804
BOC	0.0619947
YankeeNets	0.061669
DMV	0.0613875
SDPC	0.0609941
"Consolidated Edison"	0.0607555
PICC	0.0606683
Ribbeck	0.0606299
HCFA	0.0602435
Occidental	0.0602326
"Scotland Yard"	0.0600208
CPSC	0.0588281
CSRC	0.058744
F.A	0.0585714
"Home Ministry"	0.0578919
Yates	0.0577508
SDB	0.0576707
"U.S. Soccer Federation"	0.0573536
Wil	0.0571832
Wyeth-Ayerst	0.0568568
"Department of Public Health"	0.056811
Lai	0.0563275
"Israeli Army"	0.0560853
LAUSD	0.0558267
AIG	0.055762
NAM	0.0552234
"U.S. Defense Department"	0.0552174
"Agriculture Ministry"	0.0549646
MLB	0.0549241
TSE	0.0547628
"Thai Foreign Ministry"	0.0546462
SETC	0.0546332
CalPERS	0.0545315
"Health Department"	0.0544576
"Justice Ministry"	0.0544038
HHS	0.0538193
LTCB	0.0537614
Zia	0.0536578
DEP	0.0536111
"PG&AMP;E"	0.0528018
USDA	0.052449
Overnite	0.0522932
HKFA	0.0522313
DEA	0.0519321
RSA	0.0517524
EgyptAir	0.0517499
"Visa International"	0.0513423
ITF	0.0512279
"U.S. Treasury Department"	0.051181
AFA	0.0511807
"Texas Department of Public Safety"	0.0511211
"J&AMP;J"	0.0509914
NHTSA	0.050947
UNRWA	0.0507812
BSF	0.0506083
UAM	0.0505466
IMG	0.0504841
FIBA	0.0503019
Konka	0.0502572
AHP	0.0502414
"Park Service"	0.0501861
Starwood	0.0500923
MTA	0.0500762
midlevel	0.0500453
"Nuclear Regulatory Commission"	0.0500154
IEA	0.0499479
PBOC	0.0498655
"French Foreign Ministry"	0.0497523
USTA	0.0496272
"EU Commission"	0.0494815
"Boys Ranch"	0.049404
SPP	0.0492867
ama	0.0490568
"Department of Environmental Protection"	0.048932
CFTC	0.0488094
"Association of Flight Attendants"	0.0487543
"Russian Space Agency"	0.0486825
CMA	0.0482764
Yuma	0.0482521
coastguard	0.0480116
Muckler	0.0479908
NRC	0.0479632
BNFL	0.0477795
Verniero	0.0476616
NTSB	0.0476199
PDVSA	0.0474691
"Russian Foreign Ministry"	0.0473816
"Israeli Embassy"	0.0467911
teamster	0.0467764
SFA	0.0466059
KPA	0.0465853
Lamont	0.0465692
"U.S. Golf Association"	0.0464427
"Football Association"	0.0463234
All-Tech	0.0461762
"Lunar Prospector"	0.0460819
Daimler	0.0460669
Zarb	0.0460412
"securities industry"	0.0460268
Leedham	0.045621
"Harvard Pilgrim"	0.0453784
Xiao	0.0453341
mead	0.0452694
Checketts	0.0452211
"Department of Corrections"	0.0450569
"Public Security Ministry"	0.0449002
"U.S. Forest Service"	0.0447118
"IG Metall"	0.0445345
FSB	0.0444787
ITC	0.0443907
"Bankers Trust"	0.0443292
NSA	0.0442977
"El Al"	0.0439684
Railtrack	0.0437803
Galvin	0.0437173
"Department of Public Safety"	0.043571
CAAC	0.0434725
Thruway	0.0433972
Cs	0.0433768
"Pac Bell"	0.0433687
Mandelson	0.0433458
OCA	0.0433354
Schrempp	0.0432863
"U.S. Border Patrol"	0.043249
BofA	0.0431744
Telmex	0.0431428
"state government"	0.0431137
CASS	0.0429154
Kai	0.0429129
"Russian Embassy"	0.0428309
"Commerce Ministry"	0.042718
NCR	0.0426988
"USA Basketball"	0.0426689
Chenoweth	0.0426212
"Truth Commission"	0.0425034
Firestone	0.0424908
Marketspan	0.0424892
Wyeth	0.042467
ENTERGY	0.0423488
RNC	0.0423271
Frei	0.0421839
va	0.0421803
HKTA	0.0420249
NSC	0.0419921
Safir	0.0419426
DP	0.0417773
"Turkish Foreign Ministry"	0.0417693
Media-MOST	0.0417173
Corning	0.0417049
Hewlett	0.0416519
Parsons	0.0416338
CUC	0.0416314
"Royal Canadian Mounted Police"	0.0416189
TDC	0.0415713
"College Board"	0.0415421
CWA	0.0415183
Jonsson	0.0415069
"Gulf Air"	0.0414624
ARATS	0.0414242
CNTA	0.0414072
Lilco	0.0413964
MCC	0.0413783
"Salt Lake Organizing Committee"	0.0413594
SPLA	0.0412981
"Pacific Exchange"	0.0412457
Esser	0.0409405
"Economic Planning Agency"	0.0409378
))
("bok choy" (desc 2371.93) (sims
cauliflower	0.212401
Kale	0.196982
"Swiss chard"	0.196156
chard	0.189898
Collard	0.177361
cabbage	0.16958
turnip	0.160723
spinach	0.160464
"collard greens"	0.159246
radish	0.145284
lettuce	0.145028
frisee	0.142222
leek	0.140015
Endive	0.14
arugula	0.139457
florets	0.138371
carrot	0.134002
fennel	0.128841
"shiitake mushroom"	0.125793
celery	0.122665
"snow pea"	0.121811
zucchini	0.120474
watercress	0.120077
asparagus	0.119509
artichoke	0.115864
"green onion"	0.115739
rutabaga	0.115079
"green bean"	0.111686
onion	0.109002
"bell pepper"	0.108779
"sweet potato"	0.1085
cilantro	0.108095
"brussels sprout"	0.107852
Broccoli	0.107344
shallot	0.106915
"pork loin"	0.10552
tofu	0.10372
linguine	0.101168
mustard	0.10032
chilies	0.100126
okra	0.0993255
beet	0.0970609
Garlic	0.0966569
pancetta	0.0963187
cucumber	0.096026
"bamboo shoot"	0.094893
"red onion"	0.0947579
"pineapple juice"	0.0947201
"green salad"	0.0946182
romaine	0.0939466
"iceberg lettuce"	0.0937614
scallion	0.0933934
mesclun	0.0925428
"bean sprout"	0.092485
"winter squash"	0.0916935
mushroom	0.0907941
POTATOES	0.0904635
eggplant	0.0888894
tomatillo	0.0884074
"pork tenderloin"	0.0869065
"green pepper"	0.0863855
"chili sauce"	0.0863434
bulgur	0.0858802
tomato	0.0856585
"romaine lettuce"	0.0855369
"orange marmalade"	0.085518
"black bean"	0.0853486
RHUBARB	0.0849792
chive	0.0846294
bean	0.0841702
broth	0.0835221
parsley	0.0829253
"short ribs"	0.0826663
"ground beef"	0.0821941
"blue cheese"	0.082035
"sesame oil"	0.0809952
"soy sauce"	0.0804261
"pine nut"	0.0802311
pea	0.0802148
Basil	0.080152
"tomato juice"	0.0793238
"garlic clove"	0.0788734
"white bean"	0.0785633
"red pepper"	0.0784148
"white rice"	0.0781009
radicchio	0.0779579
jalapeno	0.0779488
macaroni	0.0778456
"peanut oil"	0.0767976
horseradish	0.0756035
ricotta	0.0754794
"chicken broth"	0.0744965
"beef tenderloin"	0.0742159
turmeric	0.073936
tarragon	0.0738199
pickle	0.073614
pineapple	0.0729574
parsnip	0.0719357
meatball	0.0717986
"chicken breast"	0.0716837
lentil	0.0711188
pasta	0.0707229
"coconut milk"	0.0704138
Chickpea	0.070085
chanterelle	0.0692523
"beef broth"	0.0691074
mozzarella	0.0686994
"sweet corn"	0.0686828
lamb	0.0682818
"lima bean"	0.0680323
chutney	0.0678424
"black-eyed pea"	0.0674464
"black olive"	0.0671481
"lemon juice"	0.0668209
bacon	0.0661164
vinegar	0.0659554
"cheddar cheese"	0.0657416
"roast beef"	0.0651307
"Worcestershire sauce"	0.0650808
noodle	0.0650614
thyme	0.0646489
mayonnaise	0.0645623
sauerkraut	0.0644586
"cottage cheese"	0.0640522
"whipping cream"	0.0637036
oregano	0.0634267
mutton	0.0631988
"heavy cream"	0.0630222
"cherry tomato"	0.0628145
veal	0.0626336
terrine	0.0619178
"Chinese cabbage"	0.0617704
Sirloin	0.0617572
"tomato paste"	0.0616102
confit	0.0615448
salami	0.0613257
lemongrass	0.0613237
pork	0.0607592
"curry powder"	0.0604835
almond	0.0594605
squid	0.0594254
mussel	0.0593897
chiles	0.059257
tortellini	0.0582209
sausage	0.0581265
"hot sauce"	0.057895
"lime juice"	0.0578302
cumin	0.0577472
"chili pepper"	0.0573193
plantain	0.0569877
Hock	0.0567252
prosciutto	0.056612
"brown sugar"	0.0564965
dill	0.0564689
nutmeg	0.0561129
"string bean"	0.0560327
pecan	0.0555991
"tomato sauce"	0.0555435
fettuccine	0.0552107
Casserole	0.0552032
pear	0.0551747
avocado	0.0549613
nettle	0.0549333
soy	0.054768
"chicken stock"	0.0547083
polenta	0.0544253
ginger	0.0543736
"sour cream"	0.0542541
fig	0.0540672
"sesame seed"	0.0539373
coriander	0.053843
"brown rice"	0.0538357
cantaloupe	0.0537512
"white bread"	0.0536518
mango	0.0533163
spaghetti	0.0532478
turbot	0.0531428
cinnamon	0.0530603
"Tabasco sauce"	0.0528237
paprika	0.05239
cutlet	0.0523522
"water chestnut"	0.0518896
tapioca	0.0517417
"orange juice"	0.0517128
clove	0.0514733
"beef stock"	0.0514617
panko	0.0513919
"goat cheese"	0.051239
quiche	0.0506395
Chili	0.0506319
"bay leaf"	0.0505084
peach	0.0504856
cranberry	0.0504514
TOMATOES	0.0500719
yogurt	0.0499664
calamari	0.0498439
pumpkin	0.0497399
"grated cheese"	0.0495095
lime	0.0494635
cayenne	0.0494187
))
("Boland Hall" (desc 1533.13) (sims
dormitory	0.109755
dorm	0.103517
"fraternity house"	0.0894569
"Seton Hall University"	0.0841128
"Hyatt Regency"	0.0838157
"dorm room"	0.0808959
Lhokseumawe	0.0782992
Heathrow	0.0712683
"Chrysler Building"	0.0707497
"Flagler County"	0.0680127
"Dhaka Stock Exchange"	0.0669288
"dormitory room"	0.0598022
Nago	0.0594294
"New York State Theater"	0.0589874
"Miami Arena"	0.0588527
Golcuk	0.0541645
"Mount Carmel"	0.053981
"Seasons Hotel"	0.0537359
"Holiday Inn"	0.0532211
"First Union Center"	0.0527428
"Olympic Village"	0.0518289
"teachers college"	0.0517874
tenement	0.0516857
"Tehran University"	0.0514508
Humvee	0.0509779
"Whitney Museum"	0.0508257
Cacak	0.0507787
"Pacific Exchange"	0.0506501
"Windsor Castle"	0.050606
"Nassau Coliseum"	0.0498899
"bank building"	0.0496009
Jonesboro	0.0492315
Qom	0.0491546
Waldorf-Astoria	0.0489721
"Empire State"	0.0484987
Chateau	0.04826
"Hendrick Motorsports"	0.0480504
"Fudan University"	0.0479846
"Texas House"	0.0479112
"O'Hare International Airport"	0.0478921
"Heathrow Airport"	0.047816
Laramie	0.0476818
"engine room"	0.0476612
Eureka	0.0471293
colonias	0.0468552
"apartment house"	0.0467509
"Terminal @"	0.0463661
"vocational school"	0.0463102
"resort hotel"	0.0460192
"rooming house"	0.04561
"Cairo International Airport"	0.0451256
"East Boston"	0.0447997
Bamiyan	0.0444592
"La Guardia Airport"	0.0444286
"Heritage High School"	0.0444184
"Lawrence Livermore"	0.0442309
"Peking University"	0.043914
"Florida Keys"	0.0438331
"Indianapolis Motor Speedway"	0.0435896
"Empire State Building"	0.0434496
Stansted	0.0432676
Hillsborough	0.0431532
"American South"	0.0430964
"New Territories"	0.0429263
"San Francisco Museum of Modern Art"	0.0428361
Ritz-Carlton	0.0427894
"Comerica Park"	0.042451
ARCADIA	0.0418327
Walkerton	0.041656
"sixth grade"	0.0415261
"Hong Kong Convention and Exhibition Center"	0.0414342
"Veterans Stadium"	0.0412524
"P.S @@@"	0.0411476
"National Autonomous University of Mexico"	0.0411091
"Lone Star State"	0.0410405
"native land"	0.0406542
Wallingford	0.0406175
"summer house"	0.0405089
"East Berlin"	0.0405033
"Belmont Learning Center"	0.0403074
"Hong Kong International Airport"	0.0402838
))
(Bolcom (desc 998.033) (sims
Harbison	0.130791
Messiaen	0.0964178
Bellini	0.0958203
LaChiusa	0.0937535
Monteverdi	0.0931101
Marsalis	0.0848208
Weinberg	0.0845081
"Randy Newman"	0.0836926
Berlioz	0.0773296
"Sussex County"	0.0771291
Feldman	0.076991
Britten	0.0764262
Copland	0.0758749
Sondheim	0.0746623
Sobel	0.0735241
Schoenberg	0.0718516
"Lloyd Webber"	0.0716208
Rossini	0.0709592
Weill	0.0701069
Prokofiev	0.0693177
Wasserman	0.0671558
Gershwin	0.0665117
Sheehy	0.065557
Edmondson	0.0653346
Tchaikovsky	0.0643359
Shostakovich	0.0640604
Bartok	0.062733
Ofili	0.0623009
Vivaldi	0.0621386
Farrakhan	0.0616577
Verdi	0.0615842
Puccini	0.0610248
"Andre Previn"	0.0597857
Bushnell	0.0588636
"Aaron Copland"	0.0583289
Hildegard	0.0581202
Schiller	0.0579254
Reinhardt	0.056694
"John Williams"	0.0564168
MANA	0.0556015
Miyazaki	0.0546093
MALICK	0.0545674
Purcell	0.0544627
Eisenman	0.0543881
Jett	0.0538597
Gluck	0.0533686
Eameses	0.0529613
Passaic	0.0528473
Bartoli	0.0528234
Ruskin	0.052715
Andreessen	0.0523695
Elgar	0.0521595
Puzo	0.0519176
Hoch	0.0518174
Truffaut	0.051674
Shatner	0.0514106
Hauser	0.0514027
"Isabel Allende"	0.0513952
"Richard Strauss"	0.0513511
"Mike McCurry"	0.0513432
"Philip Glass"	0.051332
Sorkin	0.0506708
Webern	0.0505032
Taymor	0.05039
Neff	0.0502809
Tharp	0.0493038
Reich	0.0490465
"Wes Craven"	0.0490172
Caddell	0.0485726
Puente	0.0485571
Meissner	0.048521
Ravel	0.0483335
Ebbers	0.0480365
Piccard	0.0480258
Stravinsky	0.0479621
Montalvo	0.0474707
Middlesex	0.0473256
Baum	0.0472738
Elam	0.0469188
Bustamante	0.0467815
Kerasiotes	0.0464414
Havelange	0.0463338
Coltrane	0.0459469
Debussy	0.0456394
McAllister	0.0454339
Myhrvold	0.0454109
Squier	0.0453329
Groening	0.045282
Dellucci	0.0452107
Rodrigo	0.045088
Bodine	0.0450461
Gehry	0.0447907
Setzer	0.0446987
Orban	0.0446501
Goff	0.0446219
Hahn	0.0443017
LaBute	0.0437056
Fleischer	0.0436963
Pyle	0.0431471
Sutiyoso	0.0431078
Garber	0.042997
Girard	0.0429612
Fuentes	0.0426943
Nero	0.0425081
"U.N. court"	0.0424377
Venter	0.042073
Szabo	0.0420383
Gurney	0.0419128
Ishihara	0.041832
Dreyfus	0.0417257
Kohn	0.0416857
Pederson	0.0416792
Arbour	0.0414173
Tomlinson	0.0413935
Weil	0.0412828
Gaynor	0.0408752
Bergen	0.0406589
Inhofe	0.0405874
Conroy	0.0402078
Hinckley	0.0401993
Rosenbaum	0.0400735
"Giorgio Armani"	0.0400222
))
(boldness (desc 5321.45) (sims
bravery	0.129783
courage	0.128044
foresight	0.120634
fortitude	0.116466
toughness	0.112606
statesmanship	0.112582
acumen	0.11241
fearlessness	0.11141
humility	0.110438
originality	0.104972
perseverance	0.104928
Creativity	0.104785
sincerity	0.102636
honesty	0.102041
tenacity	0.101596
dynamism	0.0988276
aggressiveness	0.0982149
professionalism	0.0966599
generosity	0.0942397
pragmatism	0.0936089
determination	0.0935398
calmness	0.0928707
versatility	0.0903903
resilience	0.0896246
patience	0.0893872
resourcefulness	0.0893666
candor	0.0887537
willingness	0.0882932
stamina	0.0865997
decisiveness	0.0855254
vigor	0.0839877
firmness	0.0826899
ingenuity	0.0824692
self-confidence	0.0818089
diligence	0.0815492
nimbleness	0.0801067
Openness	0.0797238
competence	0.0790524
directness	0.0788916
spunk	0.0787743
sophistication	0.0786591
eloquence	0.0786345
ebullience	0.0770294
maturity	0.0766775
persistence	0.076582
farsightedness	0.0763534
sharpness	0.0760566
composure	0.0749825
compassion	0.074946
heroism	0.0742333
"sense of humor"	0.0741065
dexterity	0.0735883
willpower	0.0734731
charisma	0.0731937
wisdom	0.0729969
frankness	0.0726471
intensity	0.0726324
irreverence	0.0726251
cockiness	0.0724593
assertiveness	0.0717994
adaptability	0.0714339
dedication	0.0708333
audacity	0.0706385
athleticism	0.0706378
freshness	0.0705743
steadfastness	0.0705513
consistency	0.0701166
intellect	0.0700949
endurance	0.0699966
"sense of responsibility"	0.0699576
vitality	0.0699101
brilliance	0.0696764
breadth	0.0690325
prowess	0.0685908
enthusiasm	0.0680028
unselfishness	0.0678932
integrity	0.0677579
modesty	0.0677489
cohesion	0.067721
individuality	0.0676331
lightness	0.0668506
acuity	0.0667345
clarity	0.0665917
cohesiveness	0.0662539
dignity	0.0661606
richness	0.0661435
gumption	0.0660865
desperation	0.0651156
precision	0.0650071
recklessness	0.0647637
risk-taking	0.0646089
teamwork	0.0645918
immediacy	0.0642581
wildness	0.0641142
self-assurance	0.0639418
elegance	0.0636214
complexity	0.0632312
coherence	0.0631945
resiliency	0.0629968
cleverness	0.0628658
"sense of purpose"	0.0628008
trustworthiness	0.0625788
patriotism	0.0625763
quickness	0.0623936
innovation	0.062387
flexibility	0.0623117
buoyancy	0.0622302
sensitivity	0.0618289
mastery	0.061726
agility	0.0612786
ferocity	0.061119
optimism	0.060921
civility	0.0608415
heft	0.060585
valor	0.0603582
unpredictability	0.0599696
devotion	0.0597704
selflessness	0.0597668
idealism	0.0597555
seriousness	0.0597198
chutzpah	0.0596091
specificity	0.0594961
warmth	0.0594449
sportsmanship	0.059346
bluntness	0.0593146
imagination	0.059083
explosiveness	0.0590399
decency	0.0589998
arrogance	0.0589489
moxie	0.0589297
durability	0.0589108
reliability	0.0588359
wit	0.0588169
graciousness	0.0586087
"economies of scale"	0.0584611
accuracy	0.0583227
grandiosity	0.0583192
"staying power"	0.0582283
unanimity	0.0578571
worldliness	0.0576862
artistry	0.0575911
prudence	0.0575633
mobility	0.0574729
vigilance	0.0573994
loyalty	0.0573894
self-awareness	0.0573446
tolerance	0.057279
veracity	0.0571935
diversity	0.0571331
self-discipline	0.0570756
grit	0.0570656
verisimilitude	0.0570146
strangeness	0.0569885
spontaneity	0.0569617
restraint	0.0569431
ambition	0.0565755
savvy	0.0561491
closeness	0.0560235
"hard work"	0.0557423
ardor	0.0556711
disquiet	0.0555401
empathy	0.0553475
goodwill	0.055324
excellence	0.0553169
swagger	0.0552008
daring	0.0550251
brio	0.0549308
deftness	0.054916
self-respect	0.0548424
combativeness	0.0546679
potency	0.0546558
finesse	0.0544919
"drawing power"	0.0543787
playfulness	0.0542931
self-esteem	0.054049
impatience	0.0539314
ruthlessness	0.0538955
familiarity	0.0537421
shrewdness	0.053618
affluence	0.0535981
worthiness	0.0534139
fragility	0.0533953
selfishness	0.0533629
clout	0.0533362
rightness	0.0532775
authenticity	0.0532583
skittishness	0.0531661
"peace of mind"	0.0529872
serenity	0.0529867
insight	0.0529365
fluency	0.0527199
ethic	0.0524956
craftsmanship	0.0522153
insouciance	0.0522088
bravado	0.0520755
exuberance	0.0519198
fluidity	0.0518898
self-control	0.0518047
curiosity	0.0517199
cowardice	0.0516063
))
(Boldon (desc 3555.15) (sims
"Ato Boldon"	0.255805
Fredericks	0.200362
Drummond	0.185756
"Maurice Greene"	0.170889
Devers	0.17065
"Dennis Mitchell"	0.165366
"Frankie Fredericks"	0.152949
Seizinger	0.152769
Popov	0.148325
Greene	0.146053
"Donovan Bailey"	0.141639
Tomba	0.138255
Tanui	0.138051
Khannouchi	0.136803
"Linford Christie"	0.135788
Ottey	0.134571
Krayzelburg	0.134403
"Brooke Bennett"	0.132018
"Jearl Miles-Clark"	0.128476
Roba	0.127143
"Earnhardt Jr."	0.126788
"El Guerrouj"	0.126555
Christie	0.1261
Sautin	0.125656
Heyns	0.124416
Szabo	0.124168
"Inger Miller"	0.122972
"Li Jiajun"	0.12064
"Derrick Adkins"	0.118194
"Michael Klim"	0.117732
"Michael Johnson"	0.117653
Klim	0.117499
"Regina Jacobs"	0.116117
"Allen Johnson"	0.116111
Meissnitzer	0.114879
Butyrskaya	0.114624
Surin	0.114572
Jayasinghe	0.112878
Gebrselassie	0.112443
Loroupe	0.110924
Doohan	0.110238
Kipketer	0.109981
Boardman	0.109539
Montoya	0.108629
Appleby	0.108483
"Fatuma Roba"	0.108402
"Liu Limin"	0.108266
Capel	0.108243
"Elena Berezhnaya"	0.107217
Kagwe	0.107146
"Gary Hall Jr."	0.107026
Herta	0.106574
Kjus	0.106253
"Chen Lu"	0.105199
Zanardi	0.104441
Pippig	0.103755
Andretti	0.103347
Joyner-Kersee	0.1027
Irvan	0.10253
"John Godina"	0.102407
"Wang Yifu"	0.102253
Kwan	0.102236
Adkins	0.101925
"Maria Mutola"	0.101858
"Yu Zhuocheng"	0.101285
Godina	0.100523
Dragila	0.100026
"Jon Drummond"	0.0993809
"Merlene Ottey"	0.0985149
Maier	0.0983939
"Li Xuemei"	0.0975673
"Gail Devers"	0.0974589
"Pernilla Wiberg"	0.0974323
"Bruny Surin"	0.0965473
Pantani	0.0961348
"Cathy Freeman"	0.0954392
"Penny Heyns"	0.0948619
"Jenny Thompson"	0.094606
Baumann	0.0945678
Villeneuve	0.0944992
Waltrip	0.0943299
"Randy Barnes"	0.0941854
Atler	0.0940831
Hakkinen	0.0940374
Olano	0.0936255
"Dan O'Brien"	0.0933748
Faldo	0.0927318
Atwood	0.092642
"Irina Privalova"	0.0925144
Kenseth	0.0920417
Aamodt	0.0918486
Luyendyk	0.0916756
Samuelson	0.091419
"Tom Dolan"	0.0911445
Vasser	0.0906675
"Alexei Urmanov"	0.089997
"Carl Lewis"	0.0898523
Slaney	0.0895998
"world record-holder"	0.08959
"Mark Crear"	0.0895722
"Marion Jones"	0.0895307
Hickman	0.0895157
Okada	0.0894798
"Fu Mingxia"	0.0893711
Chebet	0.0893265
Sainz	0.0884681
Wiberg	0.0882274
Fleischer	0.0868304
Mayweather	0.0865462
Hyman	0.0864064
"Le Jingyi"	0.086368
Julich	0.085615
Xiong	0.0852998
Nakamura	0.0847423
"Angelo Taylor"	0.0838813
"Heike Drechsler"	0.0833283
Thorpe	0.0830462
Coulthard	0.0830186
"Susie O'Neill"	0.0829936
Cipollini	0.0829528
Unser	0.0825851
"Colin Jackson"	0.0824544
Biffle	0.0823134
"Chen Hua"	0.0821977
"Svetlana Masterkova"	0.0818784
Medvedev	0.0818307
Dolan	0.0816139
Yagudin	0.081516
Perec	0.081286
Guerra	0.0811034
Bolton	0.0810945
"Charles Austin"	0.0809828
Lipinski	0.0809514
"Paul Tergat"	0.0807774
Labonte	0.0806198
"Oksana Kazakova"	0.0805268
Hackett	0.0800397
Rahal	0.079801
Tanaka	0.0793202
"Alexei Nemov"	0.0793198
Rossi	0.079302
"Hilde Gerg"	0.0789706
Gwynn	0.0789173
Contreras	0.0788868
"Maria Butyrskaya"	0.0779728
Longo	0.0779099
"Claudia Poll"	0.0778126
Capriati	0.0776038
"Blaine Wilson"	0.0774592
Sanchez-Vicario	0.077441
bailey	0.0773467
"Sarah Hughes"	0.0772504
"Koji Ito"	0.0770053
Savon	0.0768695
Huber	0.0767069
Ullrich	0.0766712
"Sanchez Vicario"	0.0764326
Rosset	0.0761041
Montgomerie	0.0760386
"Al Joyner"	0.0757053
Tocchet	0.075601
Trammell	0.0752923
"Greg Ray"	0.0752515
"David Reid"	0.0752148
Inkster	0.0751309
"Michelle Kwan"	0.0749733
McRae	0.0743428
"Deng Yaping"	0.0742937
Lehane	0.0742542
Kong	0.0742334
Woodson	0.074178
Antley	0.0739395
"Sonia O'Sullivan"	0.0737989
Bierhoff	0.0735581
O'Sullivan	0.0732075
"Ralf Schumacher"	0.0729797
"Daniel Kowalski"	0.0729546
Chilukki	0.0728979
Samsonov	0.0728597
"Renate Goetschl"	0.0727969
"Alexei Yagudin"	0.0726352
Baugh	0.0720678
"Rich Brooks"	0.0718002
Zito	0.0717822
Klinsmann	0.0717535
Takahashi	0.0716705
Schmitt	0.0716263
"Kieren Perkins"	0.0715098
Karpov	0.0714846
Janzen	0.071372
hurdler	0.0713008
Woodforde	0.0712649
Sather	0.0710487
"Dara Torres"	0.0710178
"Elvis Stojko"	0.0709924
Morceli	0.0709532
Solis	0.0708328
O'Meara	0.0707352
Crenshaw	0.0707294
"Li Na"	0.0705025
))
(bolero (desc 2015.21) (sims
pullover	0.118156
cardigan	0.111994
"Piano Concerto"	0.107695
"hot pants"	0.100851
sarong	0.0977147
caftan	0.0968023
flack	0.0908165
miniskirts	0.0901884
"sport shirt"	0.0894777
tunic	0.0886169
bluejeans	0.0874912
waltz	0.0860283
coverall	0.0837194
khaki	0.0805
miniskirt	0.0794823
undershirt	0.0794682
Pantsuits	0.0793694
"polo shirt"	0.0771259
"blue jean"	0.0755687
turtleneck	0.0746025
bustier	0.0722878
Lullaby	0.071787
"leather jacket"	0.0716276
trouser	0.0715388
"dress shirt"	0.071399
tweed	0.0713422
bandanna	0.0691471
"tennis shoe"	0.0684491
loincloth	0.0684468
blouse	0.0683231
sonnet	0.0674044
calypso	0.067146
Poncho	0.0671397
"pants suit"	0.0654885
windbreaker	0.0649957
slacks	0.064546
DKNY	0.0636971
"Amazing Grace"	0.0634464
"cowboy hat"	0.0633815
"cowboy boot"	0.0633187
SKA	0.0632738
slack	0.0624323
"straw hat"	0.0623111
"Brooks Brothers"	0.0622416
"ball gown"	0.0613851
sweatshirt	0.061374
cappella	0.0609212
taffeta	0.0598736
sternum	0.0596529
tiara	0.0591494
Reggae	0.0587393
"evening dress"	0.0585706
plaid	0.0584609
Fubu	0.0579267
"folk song"	0.0578535
"stiletto heel"	0.0574669
shawl	0.0573467
"powder blue"	0.0570313
bodice	0.0569149
camisole	0.0568964
polka	0.0567899
cutoffs	0.0563442
"cocktail dress"	0.0560353
rumba	0.0559289
trousers	0.0556259
tuxedo	0.0556094
ditty	0.0552904
rhythm-and-blues	0.0551571
turban	0.0550927
corduroy	0.0540336
docker	0.0538736
hymn	0.0535961
bandana	0.0535294
"business suit"	0.0534567
overcoat	0.052584
klezmer	0.052515
spandex	0.0522099
"felt hat"	0.0521438
suede	0.0520541
kimono	0.0518895
"rock and roll"	0.0518314
headband	0.0518049
"evening bag"	0.05137
"running shoe"	0.0512247
recitative	0.0511752
bellbottoms	0.0509872
salsa	0.0507525
ponytail	0.0506117
"a few lines"	0.0502287
concerto	0.0502249
flannel	0.0501785
flak	0.0500899
cowgirl	0.0500045
denim	0.0497365
kilt	0.0495281
hummus	0.0493787
jumpsuit	0.0492702
tango	0.0492453
mariachi	0.0489397
mambo	0.0486285
Aria	0.0486163
sportswear	0.0486074
Chino	0.0485162
"belt buckle"	0.0484346
"baseball cap"	0.0483478
"bow tie"	0.0482412
honky-tonk	0.0480451
"evening gown"	0.0479932
"sports jacket"	0.0479894
pillowcase	0.047832
samba	0.0477281
"dark blue"	0.0475851
one-night	0.0475638
"dog tag"	0.0474285
"life vest"	0.0473439
parka	0.0473433
fugue	0.0472205
"Rainbow Room"	0.0469389
"Christmas carol"	0.0468896
"spring roll"	0.0468592
smock	0.0467762
halter	0.0466396
"Happy Birthday"	0.0465039
earpiece	0.0464854
"Star-Spangled Banner"	0.046444
capris	0.0461559
suspender	0.0460314
"mink coat"	0.0457392
Armani	0.0456776
outerwear	0.0454856
flamenco	0.0453282
karaoke	0.0453081
raincoat	0.0451139
leotards	0.0450667
capella	0.0448677
go-round	0.044623
pantsuit	0.044501
bagpipe	0.044458
stanza	0.0444394
beeper	0.0443095
"chamber music"	0.0442884
blinker	0.0441273
barrette	0.0437547
"Lord's Prayer"	0.0436375
panty	0.0433643
Tristan	0.0433341
pigtail	0.0433319
"olive green"	0.0433117
"musical chair"	0.0431832
frock	0.0429052
operetta	0.0425497
mohair	0.0422938
taupe	0.0422775
bluegrass	0.0421158
tomboy	0.0420487
"folk music"	0.0419537
Sari	0.0419209
chowder	0.0416878
"hard hat"	0.041607
Tutu	0.0414597
Bess	0.0412387
"royal blue"	0.0412117
loafer	0.0412055
"combat boot"	0.0411646
"utility program"	0.0410308
Lucia	0.0410181
NOVA	0.0408599
toupee	0.0408588
"boxing glove"	0.0407987
slipper	0.0407108
sequin	0.0406453
"fellow traveler"	0.0405783
"ray of light"	0.0405211
frolic	0.0403421
Ode	0.0402632
"theme song"	0.0402256
waistcoat	0.0402216
))
(Boles (desc 886.188) (sims
Grasso	0.171249
Quintana	0.128127
Dunham	0.124292
ISSEL	0.121865
Butterworth	0.119853
Passarella	0.115601
Markovic	0.112633
Copeland	0.111668
Lawler	0.111108
Ashrawi	0.110098
Heinrichs	0.108643
Soriano	0.105386
Chouinard	0.104508
Bustamante	0.103895
Arbour	0.103875
Kearin	0.102859
Mendez	0.102824
Cummins	0.102409
Ftorek	0.102157
Dunleavy	0.101667
Hallinan	0.101536
Bochy	0.101051
Chenoweth	0.10083
Cowher	0.10018
"La Russa"	0.100141
Sharma	0.0990578
Troussier	0.0984799
Aliotti	0.098194
Shriver	0.097265
Hiett	0.0967524
Marinovich	0.0951077
Whaley	0.0949417
beamer	0.094862
Feuer	0.0948372
Manuel	0.0939776
Monson	0.093843
Elam	0.0936787
Madden	0.09335
Parrish	0.0925657
Lamont	0.0924414
Braswell	0.092384
Samuelson	0.0923315
jacoby	0.0914837
Fasano	0.091188
Lundberg	0.0911603
Kern	0.0909333
McDonnell	0.0906722
Rongen	0.0902707
Skiles	0.0896214
Neulander	0.0892811
Haney	0.0889233
Capps	0.0888508
Wenger	0.0887645
Oates	0.0884199
Greco	0.0881366
Hess	0.0867485
Noe	0.0866701
Dungy	0.0863503
Milbury	0.0861991
Ruehe	0.0861278
Pittman	0.086127
Geiger	0.0860988
Manley	0.0857996
Saunders	0.0857988
Zambrano	0.0851603
Hartley	0.0850964
Conroy	0.0844547
Bullard	0.084429
Rubenstein	0.0843768
Starks	0.0843177
Gavin	0.0842706
Larson	0.0840708
Ogata	0.0840485
Onassis	0.0839614
Henning	0.0837809
Munson	0.083348
Inman	0.0832749
Tubbs	0.0831688
Piot	0.0830689
Polian	0.0828395
Broaddrick	0.0825756
Popovich	0.0823656
Kennelly	0.0820552
Neilson	0.0817497
Garrity	0.0816726
Stoneman	0.0814719
Valenti	0.0812087
Sheehan	0.0810008
Guthridge	0.0808985
Meissner	0.0806889
Mott	0.0805352
krueger	0.0804566
Laperriere	0.0803126
Shipley	0.0800016
Suarez	0.0799501
Andreychuk	0.0798813
Doherty	0.0793084
Maldini	0.0792668
Speer	0.0791524
Hirst	0.0791242
Bavasi	0.0790479
Lafleur	0.0788623
Whitsitt	0.0786024
Goldin	0.0784435
Solis	0.0782464
Ziegler	0.0782417
Aquino	0.0778074
Mehta	0.0774218
Lopes	0.0773812
Loeb	0.0773247
Sakic	0.0772741
Sund	0.0771519
Hersh	0.0771216
Solich	0.0770999
Danner	0.0770498
Hauser	0.0766521
Steiner	0.0764973
Naumann	0.0762917
Machel	0.0762624
"David Remnick"	0.076139
Sim	0.0760366
DeFrantz	0.0759826
Clements	0.0759627
Westphal	0.0758055
Rossotti	0.0757663
Tilberis	0.075689
Fink	0.0755666
Echols	0.0755435
Gervin	0.0752719
Bubb	0.0752405
Devine	0.0751472
Tuberville	0.0751097
Romar	0.0749317
Muir	0.0749299
Rothschild	0.0744299
Schott	0.0743565
Ratliff	0.0743455
Grimes	0.0741692
Sykes	0.0741562
Mandella	0.0741029
Jennings	0.0740962
Markey	0.0740725
Watkins	0.0740236
Moonves	0.0738872
McIntosh	0.0737256
Hayden	0.0736845
Kraus	0.073633
Gorbachev	0.0736299
Soto	0.0735863
Sutter	0.0735534
Najera	0.0731974
Aventajado	0.0731443
Legace	0.0731025
Hiddink	0.0729661
Kehoe	0.072902
Hartman	0.0728728
Hirschbeck	0.0728111
Childs	0.0727699
Zucker	0.07271
Robson	0.0725964
Patel	0.0724549
Lacroix	0.0722477
Finkel	0.0721458
Perisho	0.0721402
Flanagan	0.0720622
Herron	0.0719895
McGinn	0.0718888
Jacquet	0.071813
Matthaeus	0.0716682
"Van Raaphorst"	0.0716561
Carollo	0.0716326
Chu	0.0713697
Gogel	0.0713491
Mullen	0.0713307
Godfrey	0.0713222
Fay	0.0712484
Farnsworth	0.0711755
Sheppard	0.0710201
Khalil	0.0708202
McDaniel	0.0708181
Rooney	0.0707581
Verney	0.070637
Reimer	0.070391
Pruett	0.0703689
Pirro	0.070311
Felton	0.0702047
Paxton	0.070178
Dingell	0.0700483
Okada	0.0700222
Goossen	0.0698333
Groh	0.0697678
Mathews	0.0696758
Donnan	0.06967
Langham	0.069538
Dempsey	0.0694481
Fuente	0.0694255
Sperling	0.0694136
Hybl	0.0693986
"Breda Kolff"	0.0693037
Weldon	0.0692977
))
(Bolger (desc 747.153) (sims
Kasoulides	0.2258
Rifkind	0.195872
Ikeda	0.194288
Advani	0.191037
Phieu	0.190083
Guterres	0.187467
Rong	0.185533
Azad	0.184379
Luong	0.181502
"de Charette"	0.181308
Bedie	0.179918
Mkapa	0.178567
Singson	0.175584
Moratinos	0.174742
Velayati	0.171053
Brundtland	0.170878
Nzo	0.167249
Kyprianou	0.165927
Jovanovic	0.165253
Leghari	0.164662
Zeroual	0.164245
Klima	0.162915
Kornberg	0.162242
Bizimungu	0.16194
Stroyev	0.160102
Lipponen	0.15929
Camdessus	0.157665
"De Soto"	0.157286
Ruehe	0.155802
Pickering	0.154987
Sponeck	0.154158
Qiao	0.154103
Rakhmonov	0.153778
Tsang	0.153538
Pustovoitenko	0.151536
Pangalos	0.151269
Majali	0.150693
Kostov	0.150051
Dini	0.149589
Jayakumar	0.149349
Ikimi	0.149173
Murayama	0.149049
Luo	0.14867
Sihanouk	0.148594
Boueiz	0.148168
Gowda	0.147417
Shipley	0.147298
Chavalit	0.147296
Insulza	0.146517
Cem	0.146049
Erbakan	0.145858
Nujoma	0.145469
Diouf	0.144359
Nazarbayev	0.142999
Yastrzhembsky	0.142816
Constantinescu	0.142488
Bondevik	0.142193
Zou	0.141932
Komura	0.141931
Goh	0.141155
Jia	0.140949
Meguid	0.140895
Kharrazi	0.140855
Santer	0.14065
Brittan	0.140617
Klestil	0.139952
Majko	0.139521
Patasse	0.13891
Wolfensohn	0.138399
Siazon	0.138046
Husseini	0.137737
Elliot	0.137559
Malu	0.137407
Nasrallah	0.137107
Grachev	0.137071
Ogata	0.136873
Scalfaro	0.136761
Vollebaek	0.136556
Levitt	0.13649
Banharn	0.136148
Rau	0.136136
Saleh	0.136023
Orban	0.135603
Rodionov	0.135014
Rasmussen	0.134805
Chissano	0.134715
Barad	0.133633
Hasina	0.133135
Karimov	0.133026
Sakakibara	0.132744
Ishihara	0.132648
Soares	0.132311
Aventajado	0.132026
Sampaio	0.131809
Sato	0.131566
Tarawneh	0.131269
Nanula	0.130584
"Pope John Paul"	0.129031
Ershad	0.128604
"Chief Executive Tung Chee-hwa"	0.128337
Museveni	0.127511
Stoyanov	0.12746
Hrawi	0.127148
Prueher	0.126616
Narayanan	0.126463
Alarcon	0.126116
Scharping	0.125984
Nemtsov	0.125684
Aliyev	0.125086
Shevardnadze	0.124738
Gosper	0.124401
Ahtisaari	0.123969
Zuma	0.123776
Cui	0.123474
Kabariti	0.122906
McCurry	0.122806
Niyazov	0.122702
Venables	0.122695
Tian	0.122389
Ribbeck	0.122167
Ingraham	0.122146
Sharaa	0.122142
Granic	0.122
Kok	0.121912
Berri	0.1219
wen	0.12188
Kwasniewski	0.12177
Ben-Ami	0.121302
Tarrin	0.121084
"La Bella"	0.120616
Sergeyev	0.120115
Demaci	0.119869
Prewitt	0.119526
"Dos Santos"	0.119522
Manley	0.119473
Aziz	0.119018
Hamad	0.118848
Herzog	0.118818
Axworthy	0.118747
Prodi	0.118462
Vedrine	0.11797
Waigel	0.117718
Khai	0.117651
Kuchma	0.117549
Brahimi	0.117305
Hanley	0.117305
Juppe	0.116994
Severino	0.116891
"De Klerk"	0.11642
Chiluba	0.1162
Tung	0.11619
Meles	0.116102
"Than Shwe"	0.115378
Frei	0.115207
Hu	0.115187
Merkel	0.114839
Yosef	0.114781
Ecevit	0.114664
Khaddam	0.114644
Kinkel	0.114612
Kissinger	0.114577
Downer	0.114492
Wenger	0.114041
Koirala	0.113384
Allard	0.113342
Sumaye	0.112908
Kromah	0.112706
Moussa	0.112639
Hodler	0.112254
Yadav	0.112235
Schuessel	0.11212
Alderson	0.112073
Clerides	0.112002
Joklik	0.111896
Azizah	0.111775
Penders	0.111408
Bellamy	0.111229
Weizman	0.11103
Rabbani	0.111
Fino	0.110443
Fu	0.110194
McKinnon	0.110001
Gaddafi	0.109835
Vance	0.109673
Rossello	0.109545
Ivanov	0.109387
Alatas	0.109372
Koo	0.109244
Gujral	0.109095
hodgson	0.108959
Chuan	0.108945
Ruthardt	0.108895
Biden	0.108738
Seleznyov	0.10822
Deuba	0.108063
Berger	0.108022
Marulanda	0.107925
Akayev	0.107095
Spyridon	0.107039
Babcock	0.107004
Freeh	0.106597
Nano	0.106383
Papandreou	0.106331
Hunsicker	0.106316
Rudenstine	0.106291
Schaeuble	0.106187
Surin	0.106111
Demirel	0.10595
Qian	0.10579
Wetherell	0.10559
Xiong	0.105026
Kumar	0.104991
"Wlodzimierz Cimoszewicz"	0.104892
Hashimoto	0.104691
Glickman	0.104589
Holl	0.104559
Sanguinetti	0.104258
Kabbah	0.104189
Nateq-Nouri	0.103629
Juma	0.103607
Solana	0.103542
"Secretary General Esmat Abdul-Meguid"	0.103377
Musharraf	0.103327
Ciampi	0.103305
Hauser	0.103293
Vasile	0.103141
Safir	0.103139
Abbas	0.1031
Portillo	0.103069
"Atal Behari Vajpayee"	0.102564
Yilmaz	0.102501
Barshefsky	0.102373
"President Lee Teng-hui"	0.102032
Neeman	0.101952
Bruton	0.10192
Xanana	0.101802
Sheng	0.101631
"Maung Aye"	0.101274
Dehaene	0.101198
Chaudhry	0.101164
Garang	0.100794
Kulikov	0.100661
Levinson	0.100319
Fischer	0.10031
Dodik	0.100277
LeBlanc	0.100246
Vieira	0.100236
Deane	0.100182
Abdel-Meguid	0.100141
Walser	0.100122
Juncker	0.100005
))
(Bolivar (desc 5395.18) (sims
Antioquia	0.201008
sucre	0.176812
leu	0.107643
Kwacha	0.100203
Naira	0.0951203
Santander	0.0939992
taka	0.0891258
"Mexican peso"	0.0891007
"Simon Bolivar"	0.0888569
Dong	0.0864664
won	0.0838999
metical	0.0831806
Sinaloa	0.0825274
lev	0.0813172
Gremio	0.0811656
Cochabamba	0.0809362
dinar	0.077875
Putumayo	0.0772139
Meta	0.0771314
"South Korean won"	0.0743515
rupee	0.0738686
Cesar	0.0731423
"La Paz"	0.0718114
drachma	0.0714138
rand	0.0711901
Renminbi	0.0711588
Bamiyan	0.0700982
"Zimbabwean dollar"	0.06987
rouble	0.0677763
Valle	0.0669331
"San Lorenzo"	0.0668048
zloty	0.0652753
peso	0.0642038
"Anlong Veng"	0.063893
"Lower Saxony"	0.0631701
"Partizan Belgrade"	0.0623898
hryvna	0.062322
baht	0.0619789
"Minas Gerais"	0.0616709
kwanza	0.0581153
Tamaulipas	0.0576795
Vitoria	0.0573857
franc	0.0562221
Krone	0.0549722
Lari	0.0547968
"Baja California"	0.0546853
Michoacan	0.0543875
Kailahun	0.0542077
rupiah	0.0539467
Bilbao	0.0535101
"River Plate"	0.0535097
Jalisco	0.0535026
"Olympiakos Piraeus"	0.0528468
Tigray	0.0526548
"AEK Athens"	0.0526306
"Albert Portas"	0.0515354
Pailin	0.0514563
Cordoba	0.0509977
Lamar	0.0509842
yuan	0.0508133
chihuahua	0.0507597
Caguan	0.0507077
"Velez Sarsfield"	0.050457
RMB	0.0503733
"Renzo Furlan"	0.0495966
"Qingdao Hainiu"	0.0494467
Palmeiras	0.0490293
Cruzeiro	0.0487514
"Santa Cruz"	0.0486594
"Bradford City"	0.0486535
Dosedel	0.0484483
"Jesus Christ"	0.0481094
Deng	0.0480036
Blackmun	0.0479978
Nacional	0.0477312
Zamalek	0.0476078
Kelantan	0.0473201
Meligeni	0.0472925
Damm	0.0472304
Schalke	0.0472015
Gustafsson	0.0469467
Lei	0.0468621
"Schalke @@"	0.0468353
"Guangzhou Apollo"	0.0467546
"Canadian dollar"	0.0466393
rial	0.0464812
Fulton	0.0464264
espana	0.046277
"New South Wales"	0.0458518
shilling	0.0458296
Decani	0.0457021
Penarol	0.045622
Guevara	0.0455757
"Hernan Gumy"	0.0455233
Suriname	0.0455004
Baalbek	0.0454238
Serna	0.045388
Flamengo	0.0451841
"Luke Skywalker"	0.0450084
Wolfsburg	0.044982
Zacatecas	0.0448202
"Derby County"	0.0447881
Besiktas	0.0446444
"Jinan Taishan"	0.0446132
Halard-Decugis	0.0445549
"Fernando Meligeni"	0.044476
"Ayatollah Ruhollah Khomeini"	0.0444461
"North Maluku"	0.0443392
Shenhua	0.0441354
"Tatiana Panova"	0.0440976
"FC Porto"	0.0440227
"Red Star"	0.0438969
Herat	0.04375
Malaga	0.0437327
"Leicester City"	0.0436512
"DPR Korea"	0.0436511
Jaffna	0.0435669
Auxerre	0.0435145
Veracruz	0.0435105
Joplin	0.0434683
Likhovtseva	0.0433928
CARACAS	0.0433698
"Athletic Bilbao"	0.0433408
"Paul Goldstein"	0.0431847
"Sichuan Quanxing"	0.0430722
Habsudova	0.0430611
"Hong Kong dollar"	0.04301
"San Marcos"	0.0430008
"VfB Stuttgart"	0.0429944
Maharashtra	0.0428926
"Neville Godwin"	0.0428607
Norte	0.0428396
"Slavia Prague"	0.0428112
Gauthier	0.0425505
Lindland	0.0425396
"Seibu Lions"	0.0424058
lemming	0.042387
Spartak	0.0422932
Kwazulu-Natal	0.0422743
Estudiantes	0.0420321
Pitt	0.0419179
"Spartak Moscow"	0.0418723
"VfL Wolfsburg"	0.0417824
Durango	0.0417654
Bavaria	0.0417603
"Arnaud Di Pasquale"	0.0417601
Deportivo	0.0417293
Gama	0.0416242
Malisevo	0.0415876
Rostock	0.0415557
ICA	0.0414725
Hesse	0.0413862
Henan	0.0413689
Toro	0.0413564
lira	0.0412733
Edberg	0.0411897
geriatrics	0.04116
"Olympique Marseille"	0.0410911
"Newcastle United"	0.0410551
Gujarat	0.0410434
Swardt	0.0410282
Kisangani	0.040926
Kurdistan	0.0408724
Makeni	0.0408705
Sevilla	0.0408076
Karnataka	0.0407648
Mao	0.0407465
"Xavier Malisse"	0.0407095
Lareau	0.0406756
"Ho Chi Minh"	0.0406546
Bataan	0.0406443
"Virgin Mary"	0.0406091
Morelos	0.0406045
Freud	0.0405919
Taloqan	0.040461
"Andrei Pavel"	0.0404301
"chief of state"	0.0404229
"Asa Carlsson"	0.04042
Shaanxi	0.0403669
Oviedo	0.0403126
Managua	0.0402974
"Barbara Schwartz"	0.0402711
Brandenburg	0.0402517
"Chinese Army"	0.0401271
Guerrero	0.0401214
"Jackson County"	0.0400595
"Tara Snyder"	0.0400534
"Sarah Pitkowski"	0.0400237
))
(Bolivia (desc 22178.8) (sims
Uruguay	0.227713
Ecuador	0.214719
Guatemala	0.214121
"Costa Rica"	0.211205
Paraguay	0.209834
Peru	0.208909
Colombia	0.205704
"El Salvador"	0.205249
Venezuela	0.19765
Argentina	0.197333
Chile	0.192503
Nicaragua	0.191063
Panama	0.188183
Honduras	0.1736
Brazil	0.172863
Mexico	0.171402
"Dominican Republic"	0.1607
Jamaica	0.155632
"Trinidad and Tobago"	0.155361
Tunisia	0.155265
Algeria	0.153598
Ghana	0.151436
Senegal	0.150899
Bulgaria	0.150782
Mali	0.148002
Haiti	0.145875
Hungary	0.14075
Cameroon	0.140041
"Saudi Arabia"	0.139793
Morocco	0.13809
Mozambique	0.137388
Poland	0.137052
Belize	0.137039
Guyana	0.136215
Namibia	0.135064
Nigeria	0.134965
Romania	0.134912
Qatar	0.133513
Norway	0.131419
Oman	0.131318
Egypt	0.13114
Kenya	0.130554
Ukraine	0.130217
Malawi	0.129236
"South Korea"	0.129193
"South Africa"	0.129049
"Burkina Faso"	0.128716
Gabon	0.128452
Angola	0.127179
Finland	0.126017
Canada	0.12598
Portugal	0.125662
Spain	0.125598
Botswana	0.125594
Cuba	0.125582
Thailand	0.125514
"Ivory Coast"	0.125401
Croatia	0.125272
"Sri Lanka"	0.124306
Zambia	0.122642
Suriname	0.122211
Denmark	0.122178
Tanzania	0.122166
Benin	0.120801
Moldova	0.119489
Malaysia	0.118774
"Central American country"	0.118469
Italy	0.118339
Togo	0.117537
Netherlands	0.116909
Bahrain	0.116866
Uzbekistan	0.116488
Bangladesh	0.116433
Switzerland	0.116188
Niger	0.116069
Sweden	0.115107
Philippines	0.114973
Ethiopia	0.114644
Belgium	0.114563
Malta	0.114446
Indonesia	0.113884
Slovakia	0.113422
"United Arab Emirates"	0.113321
Brunei	0.112769
France	0.112616
"Papua New Guinea"	0.112484
Kazakhstan	0.112329
Belarus	0.111942
Djibouti	0.111857
Guinea	0.111697
Austria	0.111403
Yemen	0.11126
Zimbabwe	0.111109
Laos	0.110711
Cambodia	0.110671
India	0.109782
"South American country"	0.109676
"New Zealand"	0.10908
Iceland	0.108949
Iran	0.108824
Turkmenistan	0.108295
Russia	0.108176
Armenia	0.107914
Slovenia	0.107709
Libya	0.107697
Uganda	0.107479
Surinam	0.107402
Madagascar	0.106441
Mongolia	0.106361
Australia	0.105633
Vietnam	0.105484
"Czech Republic"	0.104983
Liberia	0.103988
Ireland	0.103863
Lithuania	0.103196
Greece	0.102919
Pakistan	0.10221
Chad	0.102186
Azerbaijan	0.101925
Turkey	0.101841
Sudan	0.101838
Swaziland	0.101779
Luxembourg	0.101276
Gambia	0.101216
Germany	0.101162
Albania	0.100645
"Puerto Rico"	0.100605
Barbados	0.0996372
Japan	0.0994567
Mauritius	0.0990405
Myanmar	0.0989628
Nepal	0.0988918
Mercosur	0.0978865
China	0.0972452
"United States"	0.0969942
Latvia	0.0954706
Estonia	0.0951954
"African country"	0.0950546
"South America"	0.0948352
Mauritania	0.0944038
Kuwait	0.0942065
Scotland	0.0932276
Kazakstan	0.0924785
"Republic of Korea"	0.0916233
Grenada	0.090899
Afghanistan	0.0903677
Kyrgyzstan	0.0890782
Syria	0.0890699
Cameroun	0.0883203
"Cape Verde"	0.0882031
Tajikistan	0.0874327
"United Kingdom"	0.0869874
Bahamas	0.0867931
Britain	0.0867766
"Asian country"	0.0863413
"Central America"	0.0861088
Rwanda	0.0857356
"Asian nation"	0.0854458
Maldives	0.0852303
Macedonia	0.0852019
Cyprus	0.0851145
Somalia	0.0845244
"European country"	0.0845045
Singapore	0.0839559
Burundi	0.0839558
"Sierra Leone"	0.0837513
"Viet Nam"	0.0833898
"Great Britain"	0.0832643
"African nation"	0.0831943
Dominica	0.0831201
Burma	0.0829445
Holland	0.0827313
Korea	0.0826183
Lesotho	0.0825541
"Sao Tome and Principe"	0.0825502
"Equatorial Guinea"	0.0820284
Yugoslavia	0.0809903
UAE	0.0807366
England	0.0805762
Antigua	0.0803767
Bhutan	0.0802662
"North Korea"	0.0796294
Zaire	0.0794707
Lebanon	0.0793786
Africa	0.0786699
Congo	0.0782721
Eritrea	0.0779196
Republic	0.0776036
Fiji	0.0770821
Taiwan	0.0761688
"Netherlands Antilles"	0.0754889
Guinea-Bissau	0.0750281
"Guinea Bissau"	0.0748617
"Republic of Congo"	0.0747142
"Latin America"	0.0746554
Israel	0.0732897
Jordan	0.0727433
Georgia	0.0726015
Iraq	0.0722035
Serbia	0.0720177
))
(Bolivian (desc 2495.39) (sims
Peruvian	0.177818
Chilean	0.134395
Colombian	0.13071
Uruguayan	0.126545
Paraguayan	0.121946
Venezuelan	0.104247
Brazilian	0.102678
Zimbabwean	0.102118
Nicaraguan	0.100755
Argentine	0.100205
Bulgarian	0.0998292
Ecuadoran	0.0982753
Namibian	0.0950482
Ecuadorian	0.0903386
Vietnamese	0.0885233
Ghanaian	0.088397
Lebanese	0.08713
Spaniard	0.0854461
Honduran	0.0830876
Yugoslavian	0.0827409
Panamanian	0.0827229
Yemeni	0.0825061
Zambian	0.0791135
Minnesotan	0.0778472
Briton	0.0770561
Sudanese	0.0764684
Angolan	0.0761469
Laotian	0.0741272
Macedonian	0.0735757
Haitian	0.073264
Dominican	0.0720767
Ecuadoreans	0.0717315
"Sri Lankans"	0.0703768
Filipino	0.0694791
Zairean	0.0686534
Guatemalan	0.0678241
Finn	0.0675222
Algerian	0.0671304
Tanzanian	0.0670318
Guinean	0.0652161
Greeks	0.0651661
Floridian	0.0651259
"Valery Pustovoitenko"	0.0647959
Eritrean	0.064695
"garment worker"	0.0637633
Austrian	0.0636553
paraplegic	0.0633485
westerner	0.0633469
"British people"	0.0628637
Jamaican	0.0624815
Ugandan	0.0618097
Pakistani	0.0613379
Burundian	0.0609224
Mozambican	0.0607916
Taiwanese	0.0601222
"house painter"	0.0591406
Georgian	0.0582753
Belgian	0.0581405
Bosnians	0.0581129
Congolese	0.0581099
Lithuanian	0.0579773
Cypriot	0.0577943
"Wlodzimierz Cimoszewicz"	0.0574088
Singaporean	0.0572569
Romanian	0.0565972
"Puerto Rican"	0.0563943
"Boutros Boutros Ghali"	0.0557436
"white person"	0.0551611
Ethiopian	0.0547832
Bangladeshi	0.0547657
"Kosovo Serbs"	0.0543392
Muscovite	0.0542709
Malawian	0.0536045
Nepali	0.0534071
crewmembers	0.0533769
Ukrainians	0.0532839
OFWs	0.0532518
"South American"	0.0527225
Californian	0.0526113
"North Koreans"	0.052581
"school girl"	0.0525195
"French people"	0.0523211
Liberian	0.0521798
"Sierra Leonean"	0.0511435
Koreans	0.0510904
Hungarian	0.0508955
"New Zealander"	0.0505297
Afghan	0.050502
Cuban-Americans	0.0504503
"John Bruton"	0.0502621
Missourian	0.0496922
Somali	0.0496407
soliders	0.0489853
Nepalese	0.0488861
Antley	0.0488337
"South Koreans"	0.0483999
Danish	0.0483725
"Russian Jews"	0.0480465
"San Franciscans"	0.0476332
Frenchmen	0.0468476
"Costa Rican"	0.0467051
Iowan	0.0464532
Vermonter	0.0463948
Vice-Foreign	0.0459465
"work group"	0.0455363
"South Carolinian"	0.0450703
Salvadoran	0.0449894
"Ivan Kostov"	0.0448906
schoolgirl	0.0447992
Swazi	0.0447014
"Sri Lankan"	0.0446314
"little leaguer"	0.0444695
Washingtonian	0.044406
"Madalyn Murray O'Hair"	0.0443372
"Fayez Tarawneh"	0.0440676
Quebecers	0.0439748
"Vo Van Kiet"	0.0436388
"two pitchers"	0.043196
"Tian Jiyun"	0.0431314
Tunisian	0.0428234
Scot	0.0427803
major-leaguers	0.0427463
Sponeck	0.04262
"Frederick Sumaye"	0.0424455
"Rafik Hariri"	0.042172
"Interamerican Development Bank"	0.0421691
rower	0.0421021
"major-league team"	0.0420111
Nzo	0.0419996
Torvalds	0.0419004
Croats	0.0418671
"blind man"	0.0418582
Peretz	0.0418158
Asian-Americans	0.0417631
Scots	0.0416708
"farm boy"	0.0416165
Londoner	0.0414987
fourth-graders	0.0414905
Pillars	0.0414799
"black person"	0.0414462
Vice-Premier	0.0413921
Chuasiriporn	0.0413746
Slovenian	0.0413556
"North Carolinian"	0.0412673
"break of serve"	0.0412622
Ghanaians	0.0412013
"Hispanic American"	0.041122
Mathews	0.0411027
Asprilla	0.0410748
noncitizens	0.0410683
Montenegrins	0.0410144
"William Daley"	0.040885
"Cuban Americans"	0.0407499
asylum-seekers	0.0406817
Beijingers	0.0406366
Athenian	0.0406027
"Paavo Lipponen"	0.0404861
Guterres	0.0404182
"Secretary of Commerce"	0.0403586
"King Abdullah Bin Hussein"	0.0402285
"Defense Secretary"	0.0400603
"Ron Brown"	0.0400503
))
(Boller (desc 751.356) (sims
Dilfer	0.159739
Hasselbeck	0.141424
Marinovich	0.139383
Paus	0.13833
Brees	0.127124
McCown	0.12447
Grbac	0.115527
Griese	0.113264
Andreychuk	0.110476
"Rich Gannon"	0.106929
"Brian Griese"	0.106688
Dellucci	0.106541
DeBerg	0.105848
Baugh	0.10581
"Doug Pederson"	0.105084
Outzen	0.103768
Brunell	0.10358
Detmer	0.101272
Rodionov	0.099168
"Trent Dilfer"	0.099105
Tuiasosopo	0.0980433
Applewhite	0.0978282
"Gus Frerotte"	0.095717
Kanell	0.0955654
Huard	0.0954282
Weinke	0.0953868
Pennington	0.0946676
Harbaugh	0.0944719
Szabo	0.0943081
Garrett	0.0935915
"Van Raaphorst"	0.0934322
McCann	0.0920211
Hollins	0.0906334
"Steve Beuerlein"	0.0904044
"Tee Martin"	0.0903487
Mahomes	0.090001
Cormier	0.089993
"Ryan Kealy"	0.0899495
Favre	0.0894722
Kealy	0.0893925
Plummer	0.0893599
"Todd Husak"	0.0889828
Nevin	0.0887216
"Quincy Carter"	0.0886645
Jorgensen	0.0883805
Hoch	0.087706
"Carson Palmer"	0.0872724
Dotel	0.0871746
Burkett	0.0869153
McMichael	0.0867939
Dorsey	0.0864882
Keady	0.0859896
LeBlanc	0.0858989
Gannon	0.0857256
Zagallo	0.0855679
Pederson	0.0852122
"Doug Johnson"	0.0850594
"Marcus Outzen"	0.0839629
Ftorek	0.0833467
Isringhausen	0.0833103
Cordero	0.0828358
Henson	0.0827327
Cepeda	0.0825492
Sobel	0.0823472
hermosillo	0.0823424
Enis	0.0822269
Dunston	0.0821857
Graziani	0.0817968
"Shaun King"	0.0816246
Fiedler	0.0811781
Schoeneweis	0.0810339
jacoby	0.0808413
Hickman	0.0805958
Dragila	0.0801602
Rueter	0.080133
Kitna	0.0800197
Swenson	0.0799494
McNown	0.0795298
Furcal	0.0795089
Chappell	0.079178
Higginson	0.0791347
Bodine	0.0791226
Gullit	0.0786959
Harrell	0.0786606
Caray	0.078619
Ribbeck	0.0783937
Venables	0.078191
Marino	0.0781603
"Jeff Conine"	0.0778523
Mendes	0.0778222
"two pitchers"	0.0776173
Grimsley	0.0775356
Blackman	0.0773638
Peyton	0.0771352
Gorman	0.0771149
"Jeff George"	0.0767876
Bledsoe	0.0767418
Zolak	0.0765492
Knievel	0.0764602
Maruyama	0.0760912
McGregor	0.0760047
Lankford	0.0759665
Renteria	0.0759036
Triplett	0.07588
Cleese	0.0758424
Brogna	0.0755934
Ripken	0.0750759
"Drew Brees"	0.0750022
Longo	0.0748515
"Keith Smith"	0.0744324
Carbonneau	0.0743743
Aikman	0.0742757
Pearce	0.0742714
Flutie	0.0742001
Dawkins	0.0741229
Betts	0.0741018
"Tom Brady"	0.0740872
DiSarcina	0.0739366
Brazill	0.0736172
Vialli	0.0733404
Fech	0.073326
Vick	0.0731539
Eldred	0.073032
Briere	0.0729509
Ranford	0.0728864
McNair	0.0728794
Lieberthal	0.0725104
"Danny Wuerffel"	0.072449
"Jake Plummer"	0.0722973
Sojo	0.0722361
"Kent Graham"	0.0721828
Paulson	0.0718731
Crocker	0.0718281
experimenter	0.0716339
Perisho	0.0716062
Ruehe	0.0715716
"Rob Johnson"	0.0715664
"John Fox"	0.0715508
Castilla	0.0714938
"Damon Huard"	0.0714932
Hermanson	0.0713695
Brady	0.0713553
Millar	0.0712055
"Michael Bishop"	0.0711606
Schell	0.0710128
Alicea	0.0707484
"Neil O'Donnell"	0.0706748
Sooners	0.0706253
Pryor	0.0704487
Gathers	0.0702016
"Chris Weinke"	0.0701125
Meggett	0.0701075
Dooley	0.0700958
Rongen	0.0700809
"Warren Moon"	0.0698709
Edelstein	0.0696534
"Mike Van Raaphorst"	0.0696136
Soares	0.0694938
Stacy	0.0694357
Redman	0.0693587
Gilkey	0.0693143
Brendan	0.069285
"Bobby Newcombe"	0.0691608
Petkovsek	0.0691509
"Glenn Foley"	0.0691249
Bragg	0.0690441
Brister	0.0688972
Tatis	0.0687031
Jeffers	0.0686764
Zenga	0.0686338
Najera	0.068534
"Russ Ortiz"	0.0685015
Olowokandi	0.0683801
Bonner	0.068374
Andreessen	0.0680563
Mirer	0.0680289
Tendulkar	0.0677553
Baumhammers	0.0676716
Jamison	0.0674003
Lafleur	0.0672572
Monson	0.0672406
Havelange	0.0672191
Rolen	0.0672183
Storr	0.0670846
Grossman	0.0669984
Hartwig	0.0669674
Culpepper	0.066951
Grachev	0.0668034
Blume	0.0667658
Leyland	0.0665757
Etherton	0.0665425
Tupa	0.0663079
McCarron	0.0659821
Fisk	0.0657993
Rapp	0.0657377
hyphen	0.0656911
Pena	0.0656207
Tanaka	0.0656144
Bingham	0.0655777
Cunningham	0.0654183
))
(Bologna (desc 13599.6) (sims
Udinese	0.22559
Bari	0.205035
Perugia	0.198092
Parma	0.193976
Vicenza	0.193782
Sampdoria	0.179978
Venezia	0.179638
Fiorentina	0.168837
Piacenza	0.168031
Juventus	0.159678
Torino	0.156346
Milan	0.154767
Genoa	0.151885
Roma	0.148693
Turin	0.146129
Cagliari	0.143753
"AC Milan"	0.142091
Empoli	0.140374
"AC Parma"	0.135916
Panathinaikos	0.135045
Verona	0.132411
PALERMO	0.130095
Barcelona	0.127487
Benfica	0.125091
Lecce	0.124533
Napoli	0.124305
Internazionale	0.123484
Olympiakos	0.121458
Lyon	0.116665
"Olympiakos Piraeus"	0.112834
Leverkusen	0.111375
"Inter Milan"	0.108566
Inter	0.10832
Salernitana	0.10742
Strasbourg	0.107325
Ljubljana	0.106616
Salonika	0.10576
Limoges	0.105737
Sevilla	0.105433
Montpellier	0.104863
Fenerbahce	0.103281
Naples	0.102727
"Kinder Bologna"	0.101633
Pisa	0.101461
Porto	0.101249
Nantes	0.10095
Valencia	0.100461
Heerenveen	0.100366
Monaco	0.0996295
Florence	0.0977191
Galatasaray	0.0974009
Munich	0.0973286
Lazio	0.0957933
Feyenoord	0.0951265
"Celta Vigo"	0.0940432
Vitoria	0.0935361
"Olympique Marseille"	0.0927787
Marseille	0.0924266
Kaiserslautern	0.0919089
"Atletico Madrid"	0.0909596
"Real Madrid"	0.0900795
ZAGREB	0.0899358
Liverpool	0.0898466
Rosenborg	0.0896629
Anderlecht	0.0895599
Madrid	0.0895094
Leeds	0.0893875
"Renzo Furlan"	0.0891839
Stuttgart	0.0885606
Charleroi	0.0874586
Leicester	0.0872012
salami	0.0871855
Gothenburg	0.086659
Karlsruhe	0.0863151
Metz	0.0860834
Brondby	0.0853843
Duesseldorf	0.0853173
Besiktas	0.0852186
Valladolid	0.0851684
Bordeaux	0.0851318
Schalke	0.0846782
Atalanta	0.0842038
Estudiantes	0.083971
Rome	0.0836572
Venice	0.083087
"Real Betis"	0.082574
BRATISLAVA	0.0817507
Southampton	0.0817063
Amsterdam	0.0815635
"Sturm Graz"	0.0815281
"Glasgow Rangers"	0.0813736
Ajax	0.0812759
Toulouse	0.0811771
Copenhagen	0.080318
"Gianluca Pozzi"	0.0802402
Independiente	0.0801155
"VfB Stuttgart"	0.0800945
Eindhoven	0.0798167
"Schalke @@"	0.0794351
Cardiff	0.078993
"Bayern Munich"	0.0784012
Watford	0.078114
Basle	0.0780827
Bremen	0.0771642
"Ajax Amsterdam"	0.0770891
Asuncion	0.076812
Bastia	0.0763845
Yokohama	0.076347
"corned beef"	0.0760782
"Spartak Moscow"	0.0749839
Necaxa	0.0749243
"Dalian Wanda"	0.0748735
Espanyol	0.0745938
"Red Star"	0.0744152
Guadalajara	0.0743371
"Colo Colo"	0.0743132
Zurich	0.074296
"Boca Juniors"	0.0738913
Toluca	0.073882
Bilbao	0.0734515
"Guangdong Hongyuan"	0.0734383
"Calgary Flames"	0.0734234
"Borussia Dortmund"	0.0733116
Graz	0.0730582
Frankfurt	0.0729754
"Werder Bremen"	0.0728796
"Slavia Prague"	0.0724754
Montreal	0.072464
"Borussia Moenchengladbach"	0.0723632
Sunderland	0.0720617
Dortmund	0.0719467
Flamengo	0.0719174
Hamburg	0.0718507
Auxerre	0.0717531
"Athletic Bilbao"	0.0709708
Wolfsburg	0.0707434
Cologne	0.0705677
corinthian	0.0705265
Glasgow	0.070525
Penarol	0.0704088
Mallorca	0.0703747
"Newcastle United"	0.0703719
Middlesbrough	0.0703544
Tenerife	0.0703009
"AEK Athens"	0.0701157
Istanbul	0.070014
"Los Angeles Galaxy"	0.0699765
Rostock	0.0696415
Spartak	0.0695719
Uruguay	0.069533
Salamanca	0.0694002
Rotterdam	0.069387
Croatia	0.069249
Zaragoza	0.0692436
ham	0.0690679
"Shanghai Shenhua"	0.0690566
"Silvia Farina"	0.0689669
"Tel Aviv"	0.0687361
"Coventry City"	0.0686442
"Manchester United"	0.0685586
"Velez Sarsfield"	0.068247
"Montana State"	0.0681734
Rennes	0.0679616
Adelaide	0.0678693
Betis	0.0678664
"Andrea Gaudenzi"	0.0678257
Freiburg	0.0677684
"River Plate"	0.0676447
Berlin	0.0675825
Everton	0.0675323
Klagenfurt	0.0674269
"Real Sociedad"	0.0672281
Utrecht	0.0671794
BASEL	0.0670792
Olimpia	0.0670595
Zamalek	0.0669177
Edmonton	0.0667884
"San Antonio"	0.0666704
MELBOURNE	0.0666511
Catania	0.0665645
"Dynamo Kiev"	0.0665431
Sheffield	0.0664633
Osaka	0.0664099
Newcastle	0.0663423
Lausanne	0.0662931
Jamaica	0.066266
"Deportivo Coruna"	0.0662529
Scotland	0.0662422
Palmeiras	0.0661561
"VfL Wolfsburg"	0.0661405
"St. Louis"	0.0660755
Lithuania	0.066001
Luxembourg	0.0658227
"San Marino"	0.0658145
Manchester	0.0658069
"San Jose"	0.0657006
"PSV Eindhoven"	0.0656153
"San Lorenzo"	0.0655403
"Guangzhou Apollo"	0.0655063
Siena	0.0653554
))
(Bolshevik (desc 2240.19) (sims
"firing squad"	0.1767
Nazi	0.106496
captor	0.0887203
electrocution	0.0873832
gunmen	0.0855594
poacher	0.082828
"Criminal Investigation Department"	0.0805921
Sandinistas	0.0756317
sniper	0.0754726
Soviets	0.0726849
gunman	0.0721777
"military police"	0.0721228
assailant	0.0704112
"U.S. Coast Guard"	0.0685944
thug	0.0671199
infantrymen	0.0667175
abductor	0.0602259
"Red Army"	0.0585638
mutineer	0.0583882
"secret police"	0.0578759
rioter	0.0576314
"secret agent"	0.057331
"Eric Harris"	0.0570659
colonizer	0.0568646
intruder	0.0559303
robber	0.0552207
commando	0.0548516
hoodlum	0.054425
"Khmer Rouge"	0.0539551
LTTE	0.0531923
paratrooper	0.0522344
"car bomb"	0.0518924
"Afghan Taliban"	0.0512961
"Abu Sayyaf"	0.0509583
"Frank Bruno"	0.0509535
"Nazi Germany"	0.0509153
SFOR	0.0507664
gunshot	0.0505514
ETA	0.0504798
"National Police"	0.0501627
royalist	0.0501486
Kuomintang	0.0500037
kidnapper	0.0495126
fascist	0.0488902
bandit	0.0488575
"prison guard"	0.0488555
"police detective"	0.0487291
Jeeves	0.0482985
occupier	0.0478677
neo-Nazis	0.0464799
vandals	0.0461301
RUF	0.0458834
Gestapo	0.0456362
"Willie Brown"	0.045615
SPLA	0.045199
"North Koreans"	0.0451071
imperialist	0.0447548
colonialist	0.0446887
MRTA	0.0440639
"Bosnian Serbs"	0.0438759
"CHARLOTTE STING"	0.04353
"American Football League"	0.0430764
Sykes	0.0427064
"United Nations Educational, Scientific and Cultural Organization"	0.0426595
"bad guy"	0.0425915
SANDF	0.0424021
zealot	0.0422725
"Irish Republican Army"	0.0420432
vigilante	0.041644
LRA	0.0413667
"trunk road"	0.0413336
"Polo Grounds"	0.0409788
"Metropolitan Opera House"	0.0409348
"North Vietnamese"	0.0405435
"eminent domain"	0.040274
))
(Bolshoi (desc 2126.24) (sims
Kirov	0.197824
"Ballet Theater"	0.140643
Ailey	0.107957
Balanchine	0.0820937
"City Ballet"	0.0820626
MCC	0.0819217
"Royal Ballet"	0.0781304
"silent movie"	0.0749395
Wagnerian	0.0734443
flamenco	0.0671836
"Martha Graham"	0.0667765
"German language"	0.0653036
trapeze	0.0649017
improv	0.0622972
unicorn	0.0618888
Philharmonic	0.0613998
Hula	0.0612352
"Paul Taylor"	0.0562298
Machado	0.0562102
"musical theater"	0.0557919
Robbins	0.0544869
DSE	0.0537326
"Peking Opera"	0.0530512
Nijinsky	0.0521286
Tudor	0.0517133
"Beijing Opera"	0.0516097
Railtrack	0.0514639
"American Ballet Theater"	0.0511669
Difrancesco	0.050617
"modern dance"	0.0496161
midlevel	0.0489745
Germanic	0.0488374
"avant garde"	0.0487982
Blackhawks	0.0483649
cabaret	0.0479712
tango	0.0478367
striptease	0.0478305
off-Broadway	0.0477813
"home rule"	0.0477518
"New York City Ballet"	0.047597
Stroganoff	0.0475956
Nepa	0.0474002
Opry	0.0470486
megaplex	0.0469566
"La Scala"	0.0464686
"music hall"	0.0462881
cappella	0.0461406
"New York City Opera"	0.0459725
world-famous	0.0459089
CRI	0.0451081
"Cliffs Notes"	0.0447856
Bam	0.044594
"City Opera"	0.044398
"Radio City Music Hall"	0.0443587
Metreon	0.0442739
Dinkins	0.0440951
"Henry Fonda"	0.044067
Transamerica	0.0436733
Ives	0.0435375
"patent office"	0.0435035
roundabout	0.043416
KPFA	0.0433911
BNFL	0.0432512
BIA	0.0431789
FSA	0.0430363
niner	0.0429825
CAA	0.0427309
Nutcracker	0.042718
MacMillan	0.0426188
"Karl Marx"	0.0425822
samba	0.0422751
MLS	0.0422712
Counsell	0.0422698
Huskers	0.0422548
Forsythe	0.0420814
IMAX	0.0419197
Verdi	0.0418587
Monteverdi	0.0417451
Ponte	0.041593
Spoleto	0.0415883
PSG	0.0412774
"Texas longhorn"	0.041251
Koop	0.0410512
"Big West"	0.0407371
sandpiper	0.0407117
"Beauty Queen"	0.0406136
"Fred Astaire"	0.0402935
"Liquid Audio"	0.0402111
"chamber music"	0.040008
))
(bolster (desc 1336.77) (sims
Sino-African	0.107955
Meguid	0.066414
Sino-Japanese	0.0651831
Russian-U.S.	0.0628804
inter-Arab	0.0578755
Karimov	0.0577507
Jaffe	0.0567377
Obilic	0.0566242
"de Charette"	0.0564504
Scelzi	0.0562991
Sino-British	0.055684
demagogue	0.0548021
Moratinos	0.0543403
Heinrichs	0.0536271
"Cactus League"	0.0525778
U.S.-Russian	0.0525224
Sino-Russian	0.051229
Vizcaino	0.0507843
Kok	0.0506171
Guterres	0.050519
Woolley	0.0501787
Lipponen	0.0500775
Jelisic	0.0495423
Israeli-Palestinian	0.0493296
Sino-French	0.0490661
magpie	0.0488814
Sahnoun	0.0484748
Azad	0.0483472
Israeli-Arab	0.0478607
Stoyanov	0.0474409
Wilhelm	0.0474253
"Lee Atwater"	0.0472408
Ruggiero	0.0471981
Granic	0.0471393
Iliescu	0.0469345
Sheehan	0.0465835
Diouf	0.0462087
overhauling	0.0461741
McInnis	0.0461079
Kamal	0.0459298
"Israeli Foreign Ministry"	0.0459004
Protas	0.0458183
Arab-Israeli	0.0457202
Boca	0.0457102
FOREX	0.0456925
"computer giant"	0.0456719
Sampaio	0.0453641
Samuelson	0.0453298
Asia-Europe	0.0452964
Rodionov	0.0452473
Muluzi	0.0451216
perpendicular	0.045071
Lobo	0.0450565
Ekeus	0.0449404
Kasoulides	0.044932
LeBlanc	0.0448645
fostering	0.0448525
Israeli-Syrian	0.0448356
MANA	0.0446754
paraplegic	0.044433
Okada	0.0442326
Kyprianou	0.0440829
Abdur-Rahim	0.0440612
U.S.-Japan	0.0439659
"another six"	0.0437991
Brunner	0.0437203
Greco	0.043699
Sumaye	0.0436565
Pyle	0.0435856
Jayakumar	0.043095
China-U.S.	0.0430731
Tait	0.0430468
Briscoe	0.0430213
Narayanan	0.0429477
Quintana	0.0428348
Zairian	0.0427436
Malu	0.0425627
"administration official"	0.0425467
Ciampi	0.0424155
Gerstner	0.0424114
Yastrzhembsky	0.0423993
Masire	0.0423923
pan-Arab	0.0422318
White-McCarty	0.0421953
Kenyon	0.0420689
Easley	0.041942
Dougherty	0.0417536
Mashburn	0.0416099
Bratton	0.0414956
Fuhrman	0.0414686
Iglesias	0.041426
Komura	0.0413731
Geiger	0.0412494
Ratner	0.0412177
Ikeda	0.0411554
Perec	0.0410753
"Tim Thomas"	0.0409855
"Van Exel"	0.0409814
Haynes	0.0409711
Troussier	0.0409679
Shaath	0.040714
Baz	0.0406227
Hightower	0.0405984
crossers	0.0405724
Rasmussen	0.0405224
Palestinian-Israeli	0.0404667
cross-Straits	0.040444
"about $@.@@ million"	0.0404202
Freaknik	0.0402404
"National Sports Council"	0.0401876
Mkapa	0.0400846
))
(bolt (desc 20038.5) (sims
screw	0.1268
rivet	0.110501
fastener	0.0835131
nail	0.0766155
pipe	0.0695891
hinge	0.0631153
rod	0.0621976
rudder	0.0605127
wire	0.0604739
valve	0.0594211
jackscrew	0.0589859
wheel	0.0546716
tether	0.0538371
tire	0.0521138
jolt	0.0516758
washer	0.0516478
connector	0.0512302
insulation	0.0510981
"steel plate"	0.0505468
bracket	0.0505182
brick	0.050377
wiring	0.0502295
strap	0.0501653
nut	0.0494416
beam	0.0490736
pin	0.0487396
tile	0.0482652
knob	0.0479072
clamp	0.0474975
frame	0.0470198
spike	0.0460955
firebomb	0.045707
casing	0.0456593
tube	0.0456544
shrapnel	0.045429
cable	0.0453771
latch	0.0452233
fitting	0.044937
Shell	0.0448279
rope	0.044806
scraps	0.044384
Tooth	0.0443592
gyro	0.0442775
lid	0.0442115
"light bulb"	0.0441655
gutter	0.0427572
hanger	0.0425938
flap	0.0425554
needle	0.0423943
"laser beam"	0.0423538
aftershock	0.0423275
Gash	0.0418395
battery	0.0416865
seam	0.041
shingle	0.0409914
fragment	0.0408093
"power line"	0.0407382
"horizontal stabilizer"	0.0406131
"telephone pole"	0.0404715
swastika	0.0404324
motor	0.0404155
glue	0.0402754
malfunction	0.0401833
lightning	0.0400882
metal	0.0400112
))
(Bolton (desc 3317.64) (sims
Crewe	0.133371
Middlesbrough	0.125486
Leicester	0.121093
Ipswich	0.111979
Barnsley	0.111253
Sunderland	0.109114
Tottenham	0.104059
Coventry	0.103775
Southampton	0.102037
Watford	0.101727
Charlton	0.100881
Bradford	0.100809
Blackburn	0.0944616
Everton	0.0941838
Vale	0.0862033
Liverpool	0.0842368
Weisman	0.0825519
Boldon	0.0810945
Newcastle	0.079763
Rove	0.0782375
Anderlecht	0.0738984
Iglesias	0.0727423
Gullikson	0.0713219
Venezia	0.0708003
"Crystal Palace"	0.0698921
Jaffe	0.0679283
Norwich	0.0666558
"Nottingham Forest"	0.0665074
Torino	0.0655043
Villareal	0.0639057
"West Ham"	0.0638656
Luton	0.063689
Hahn	0.0635854
Fulham	0.0634574
"Borussia Moenchengladbach"	0.0633636
Leeds	0.0620711
craven	0.0614323
Ferguson	0.0613297
"Joannette Kruger"	0.0610993
fuller	0.0609636
Jayakumar	0.0607935
Rutherford	0.0603699
Chelsea	0.0595559
Zuckerman	0.0593091
Zwick	0.0590153
"San Lorenzo"	0.058988
Rubenstein	0.058891
Hanley	0.0587985
"VfL Wolfsburg"	0.0587254
"Newcastle United"	0.0586044
Talebi	0.0578516
Preston	0.0574242
Insulza	0.0573435
Golding	0.0571678
Valladolid	0.056928
Portsmouth	0.0567139
Kaiserslautern	0.0564705
"Aston Villa"	0.056411
Houghton	0.0563688
Atalanta	0.0562837
JONAS	0.0562745
Sobel	0.0561539
Moser	0.0556469
McDaniel	0.0555656
Mustafa	0.055285
Locke	0.0549246
Dion	0.0546436
Okada	0.0546162
Moran	0.0545301
Empoli	0.0544083
"Werder Bremen"	0.0544008
Setzer	0.0542668
Gaston	0.0540751
"Athletic Bilbao"	0.0540295
Henley	0.0537669
"Steve Campbell"	0.0537631
"Partizan Belgrade"	0.0536252
Freiburg	0.0535613
Alaves	0.0531372
Herta	0.0531297
Malu	0.0530885
Scalfaro	0.0530716
Benfica	0.0528535
Hevesi	0.052826
Espanyol	0.0525072
Felton	0.0522327
Brody	0.0519885
Alonso	0.0517844
Bari	0.0516835
Finkel	0.051515
Easley	0.0514451
Shamshad	0.0514325
Midler	0.0513392
"Rita Grande"	0.0513344
Ulrich	0.0513146
Carville	0.0512865
Bergeron	0.0512703
Sevilla	0.0512483
Nacional	0.0511465
Heerenveen	0.0511335
Carmichael	0.0511314
Erwin	0.0510197
Lecce	0.0509717
Extremadura	0.050904
Valeo	0.0508626
Storin	0.0508613
Yomiuri	0.0508586
Deportivo	0.0508086
Merlino	0.0506311
Bain	0.0505787
"Blackburn Rovers"	0.0504982
Ebersol	0.0504737
Goldsmith	0.0502779
Tenerife	0.0501875
Durant	0.0500429
BRIER	0.0499935
Zaragoza	0.0498419
"Carlos Costa"	0.0497904
Dundee	0.0497557
Pugh	0.0496874
"West Ham United"	0.0496352
Aurelio	0.0494179
"Grant Stafford"	0.0493776
Independiente	0.0492264
Fleischer	0.0491417
Piot	0.0490521
Udinese	0.0490496
Oviedo	0.0488697
Yazdi	0.0488372
"Brett Steven"	0.048813
Valencia	0.0485801
McLachlan	0.0485086
"Tottenham Hotspur"	0.0484798
Bruton	0.0484197
Wolff	0.0483892
"Bank of Scotland"	0.0483532
Rau	0.0483158
Necaxa	0.0481693
Cagliari	0.0481571
Betis	0.0481493
Metz	0.0480374
"Olympique Marseille"	0.047774
Santos	0.0476185
Penarol	0.0476173
"Ato Boldon"	0.0476157
Rollins	0.0475995
Edmondson	0.0475972
"Croatia Zagreb"	0.0475782
Hybl	0.047521
"Paris St Germain"	0.0475192
Olimpia	0.0474417
COYNE	0.0474027
Valenti	0.0472799
Xue	0.0472427
Bautista	0.0471087
"Bayer Leverkusen"	0.0470971
O'Neil	0.047007
Schalke	0.0469601
Jovanovic	0.0469344
Milbury	0.0468683
Sharma	0.0467638
"De la Cruz"	0.046737
Boyle	0.0467074
Wilander	0.0467025
"Red Star"	0.0466798
Soto	0.046675
Rosenthal	0.0466083
Perugia	0.0465565
"Derby County"	0.0465537
Icahn	0.0464568
"Younes El Aynaoui"	0.0464029
Ghent	0.0463377
Moya	0.0463012
Guerra	0.0462658
Schalken	0.0462408
Weil	0.0459473
"David Jones"	0.0459136
"River Plate"	0.0458838
Cowan	0.0458781
Gibbons	0.045875
Meyers	0.045847
D'Alessandro	0.0457926
Bastia	0.0457463
Brondby	0.0457039
Mantilla	0.0456627
Capriati	0.0456587
Hoch	0.045629
"Francisco Clavet"	0.0453862
Arum	0.0453525
Lowry	0.0453487
Hauser	0.0452854
"Albert Costa"	0.0452817
"Judith Wiesner"	0.0452252
Donato	0.0451496
Sampdoria	0.0450046
magpie	0.0449831
Nakamura	0.0449825
"Lisa Raymond"	0.0449541
Wynonna	0.0449037
Salernitana	0.0448583
))
(bomb (desc 106059) (sims
Grenade	0.213242
explosive	0.21009
"explosive device"	0.205096
"car bomb"	0.187502
"hand grenade"	0.175827
"pipe bomb"	0.175571
missile	0.175415
explosion	0.157984
weapon	0.153906
"land mine"	0.151778
blast	0.150711
"bomb blast"	0.144738
bombing	0.140587
bullet	0.134952
munition	0.131714
rocket	0.128652
artillery	0.127141
mortar	0.126917
gun	0.12524
attack	0.12345
Shell	0.120167
ammunition	0.120036
ordnance	0.117372
"atomic bomb"	0.114997
"cluster bomb"	0.114733
fire	0.113719
warhead	0.112637
"machine gun"	0.112043
rifle	0.111489
firebomb	0.108736
"nuclear weapon"	0.108098
gunfire	0.106922
bomber	0.103286
device	0.102494
torpedo	0.102158
launcher	0.10203
mine	0.101236
"time bomb"	0.101169
tank	0.0999899
shelling	0.0988228
"rocket launcher"	0.097973
strike	0.0958367
pistol	0.0954325
landmine	0.0954051
raid	0.0952346
"air raid"	0.0947948
"nuclear warhead"	0.0945062
projectile	0.0943797
tornado	0.094252
firearm	0.0938523
earthquake	0.0920405
landmines	0.0907695
detonator	0.0906776
shotgun	0.0902534
canister	0.089813
"booby trap"	0.0896689
"Molotov cocktail"	0.0895977
aircraft	0.0893745
bombardment	0.0880484
plane	0.0872229
warplanes	0.0870912
firecracker	0.0865109
firework	0.0857541
knife	0.0854191
weaponry	0.0852245
Quake	0.0851193
gunmen	0.0838556
handgun	0.0824115
dynamite	0.0819494
helicopter	0.0815051
gunshot	0.081464
"automatic rifle"	0.0812823
ambush	0.0806889
machete	0.0796377
accident	0.0795547
"heavy weapon"	0.0790899
debris	0.0784414
airstrikes	0.0784412
cannon	0.0783883
shooting	0.0775029
terrorist	0.0773321
chemical	0.0772208
incident	0.0771155
car	0.0769537
troop	0.0765242
storm	0.0765189
drug	0.0764978
vehicle	0.0764339
object	0.0764067
shrapnel	0.0758639
equipment	0.0754482
"surface-to-air missile"	0.074995
"ballistic missile"	0.0749691
"tear gas"	0.0748067
assault	0.0745498
revolver	0.0745392
crash	0.0744077
violence	0.0741651
virus	0.0738839
blaze	0.073342
"air attack"	0.0731638
force	0.0730814
killing	0.072811
rebel	0.0715358
soldier	0.0708799
"nerve gas"	0.0700644
reactor	0.0697105
stone	0.0696454
fighter	0.0695727
airplane	0.0694599
massacre	0.0693409
disaster	0.0692942
guerrilla	0.069173
militant	0.0686938
cartridge	0.0684816
bottle	0.0683535
war	0.0677349
"artillery fire"	0.0676972
container	0.0675643
truck	0.0674818
submarine	0.0674203
ball	0.0672825
brick	0.0670503
flood	0.0668404
mudslide	0.0667413
sniper	0.0666679
twister	0.0665442
riot	0.0657824
gunman	0.065767
kidnapping	0.0656568
shot	0.0656269
spill	0.0655967
battery	0.0655476
material	0.0655469
terrorism	0.065487
police	0.0654717
rock	0.0653699
arson	0.0650142
hurricane	0.0648284
attacker	0.0643888
camera	0.0643255
cocaine	0.0641368
assailant	0.0641156
ship	0.06407
arm	0.0638457
Satellite	0.0637815
"personnel carrier"	0.0636094
detonation	0.0635411
suitcase	0.0631864
leak	0.0630761
barrage	0.0628554
contraband	0.0627817
bag	0.0625798
passenger	0.0624756
jet	0.0621316
radar	0.0618999
generator	0.0616491
arrest	0.0615515
boat	0.0613876
"Hurricane Georges"	0.0613793
Death	0.0613695
fragment	0.0613041
Collision	0.061287
vessel	0.0612142
assassination	0.0610917
people	0.0610385
crime	0.0609532
machine	0.0608817
flare	0.0608706
tremor	0.0607576
engine	0.0604572
hostage	0.0603787
Typhoon	0.0601352
body	0.0601294
civilian	0.0598951
robbery	0.0595704
pipe	0.0594762
threat	0.0593999
wave	0.0592178
fighting	0.0591396
offensive	0.0587597
gunship	0.0587469
act	0.0587275
suspect	0.058688
demonstration	0.0586825
heroin	0.0584977
warship	0.0584863
box	0.0584301
gas	0.0584179
Computer	0.0580021
operation	0.057994
Mitch	0.0579622
murder	0.0579611
casualty	0.057935
cyclone	0.0576884
cylinder	0.057632
tire	0.0574774
test	0.0574755
stick	0.0574463
"Hurricane Mitch"	0.0573429
))
("bomb blast" (desc 21322) (sims
explosion	0.229557
blast	0.226368
"car bomb"	0.225168
bombing	0.201753
ambush	0.145856
bomb	0.144738
riot	0.142645
massacre	0.141088
Quake	0.13992
earthquake	0.136075
attack	0.132756
shelling	0.126469
accident	0.125288
crash	0.125095
incident	0.124289
landslide	0.123464
rioting	0.122972
mishap	0.120969
"flash flood"	0.117937
assassination	0.117852
raid	0.116157
hijacking	0.115799
shooting	0.115586
"air raid"	0.114246
tremor	0.114002
temblor	0.113791
tornado	0.113663
killing	0.11207
derailment	0.111935
blaze	0.110328
kidnapping	0.107056
clash	0.105219
abduction	0.104826
robbery	0.103707
"drive-by shooting"	0.100659
slaying	0.0997821
Collision	0.0992957
violence	0.0975445
rampage	0.0971863
"coup attempt"	0.0962101
mudslide	0.0961598
bombardment	0.0960966
cyclone	0.0958623
"explosive device"	0.0955241
"armed robbery"	0.095233
Grenade	0.0947303
landmine	0.0940063
spate	0.0935905
"fatal accident"	0.092938
unrest	0.0918739
atrocity	0.0914112
outbreak	0.0913497
disaster	0.091301
looting	0.0906666
gunfire	0.0906081
spill	0.0898342
arson	0.0898182
twister	0.089071
eruption	0.0888571
tragedy	0.0875181
carnage	0.086812
detonation	0.0859393
bloodshed	0.085232
Typhoon	0.0851355
"nuclear explosion"	0.0844907
disturbance	0.0843011
"heat wave"	0.0833979
downpour	0.0833665
flood	0.083291
murder	0.0831874
assault	0.0826534
hostage-taking	0.0819288
leak	0.0813974
wreck	0.0810317
pileup	0.0809948
theft	0.0807437
"power failure"	0.0803583
"air attack"	0.0799363
collapse	0.0792703
demonstration	0.0789446
coup	0.0779434
shootout	0.0775936
brawl	0.07735
firing	0.0763403
"dengue fever"	0.0760228
firebomb	0.0755237
fighting	0.0751155
"forest fire"	0.0748314
break-in	0.0745499
debacle	0.073955
skirmish	0.0737584
sabotage	0.0737172
gunfight	0.0735934
"Hurricane Mitch"	0.0735222
stabbings	0.0734909
outage	0.0725727
holdup	0.0725394
flooding	0.0722943
melee	0.0721969
vandalism	0.0717738
beating	0.0717702
gunshot	0.0715768
airstrikes	0.0714139
incursion	0.0711456
"food poisoning"	0.0706041
rape	0.0703103
"corruption scandal"	0.0698947
avalanche	0.0698224
tsunami	0.0697607
poisoning	0.0697367
calamity	0.0692733
storm	0.0688474
heist	0.0688279
selloff	0.0684975
snowstorm	0.0684102
genocide	0.068116
rainstorm	0.0675791
shoot-out	0.0675156
"pipe bomb"	0.0671958
sinking	0.0671049
"mortar fire"	0.0669883
crime	0.0667638
scuffle	0.0666247
gunbattles	0.0661725
leakage	0.0656751
gunmen	0.0655674
shootouts	0.0655341
spree	0.0651073
offensive	0.0650831
confrontation	0.0645707
uprising	0.0639904
slaughter	0.0639194
"Hurricane Georges"	0.0635149
terrorism	0.0633487
aftershock	0.0627764
homicide	0.0627201
"Hurricane Hugo"	0.0625476
seizure	0.0625005
"cluster bomb"	0.0617825
airstrike	0.0616251
Stabbing	0.0615742
wildfire	0.0612311
drownings	0.0611662
catastrophe	0.0610613
scandal	0.0609347
"tidal wave"	0.060817
"heart attack"	0.060749
"land mine"	0.0605334
blackout	0.0604817
shipwreck	0.0602013
"line of duty"	0.0599613
explosive	0.0596845
suicide	0.0594945
lawlessness	0.0592744
barrage	0.0591913
stampede	0.0591261
mayhem	0.058737
torture	0.0587066
breakdown	0.058174
"volcanic eruption"	0.0581027
irregularity	0.0576377
fatality	0.0575441
Mitch	0.0575359
burglary	0.0575047
rebellion	0.0573923
upheaval	0.0571693
gunbattle	0.0570538
disappearance	0.0567776
rioter	0.0567201
crackdown	0.0566103
spacewalk	0.0564631
"mass murder"	0.0559699
invasion	0.0559494
gunman	0.0556218
cholera	0.0555753
"cold spell"	0.0555552
"press conference"	0.055547
Execution	0.0554759
"British High Commission"	0.0553646
mutiny	0.0551465
"race riot"	0.0550719
conspiracy	0.0549822
embassy	0.0548722
insurgency	0.0548593
"rate increase"	0.0547704
Snowfall	0.0544461
hurricane	0.054388
rain	0.0543012
firefight	0.0541426
famine	0.0540153
"Hurricane Floyd"	0.0538973
meltdown	0.0538879
reshuffle	0.0538295
"rate hike"	0.053816
plot	0.0537554
"hand grenade"	0.0536583
altercation	0.0536256
standoff	0.0536157
epidemic	0.053558
bomber	0.0535139
))
("bomb shelter" (desc 4247.77) (sims
"Lincoln Bedroom"	0.115648
cellar	0.107702
foxhole	0.095731
attics	0.0936287
"storage room"	0.0914851
bunker	0.0846783
closet	0.083242
burrow	0.0818884
"dressing room"	0.0797285
garage	0.0797273
bedroom	0.077385
storeroom	0.0752422
basement	0.073663
"conference room"	0.071356
cubicle	0.0687275
speakeasy	0.068236
"fire station"	0.0681414
cave	0.0679746
"wine cellar"	0.0675544
"holding cell"	0.0666081
infirmary	0.0665657
hangar	0.0664515
den	0.0649818
trench	0.0649451
dungeon	0.0648517
"rooming house"	0.0647597
bathroom	0.0642277
passageway	0.064114
cabin	0.0638906
"hospital room"	0.0636508
playroom	0.0632536
dormitory	0.0626446
crevasse	0.0621912
firehouse	0.0615543
restroom	0.0607513
"bowling alley"	0.0605784
"family room"	0.0603425
"recreation room"	0.0603056
"hiding place"	0.0602439
gymnasium	0.059973
Alley	0.0597533
gym	0.0590382
"rec room"	0.05842
"jail cell"	0.0578548
barn	0.0578507
shack	0.0577391
seclusion	0.0577021
bunk	0.0573349
Skaneateles	0.0571782
"home office"	0.0571032
hibernation	0.0562549
sandbox	0.056128
"swimming pool"	0.0559844
enclosure	0.0559421
Convent	0.0558277
auditorium	0.0558177
locker	0.0553956
"back room"	0.0547033
hiding	0.0543577
alcove	0.0543439
"dining area"	0.0541268
Bathhouse	0.054007
hovel	0.0537721
cocoon	0.0537622
"entertainment center"	0.0537206
dorm	0.053563
mortuary	0.0535467
townhouse	0.0533913
"recording studio"	0.0530583
"floor plan"	0.0526571
hallway	0.0526107
hut	0.0524398
trunk	0.0523732
"ranch house"	0.0523209
Crypt	0.052313
"exhibition hall"	0.0521012
"sleeping bag"	0.0520589
"mental hospital"	0.0520498
"movie theater"	0.0519859
"batting cage"	0.0518313
"rest room"	0.0517955
"foster home"	0.05172
lair	0.0517047
outhouse	0.0515533
"lynch mob"	0.0513298
"penalty box"	0.0510585
cavern	0.0510215
moat	0.0508447
"voting booth"	0.0505808
cage	0.0505612
cafeteria	0.0505487
"storage area"	0.0505355
"apartment house"	0.0502391
"mental institution"	0.0502284
"train station"	0.0501147
motel	0.0500513
recliner	0.0498386
cottage	0.0498311
silo	0.0498027
"hardware store"	0.0496985
depository	0.0496172
barrack	0.0496054
farmhouse	0.049356
"Olympic Village"	0.049291
"emergency room"	0.0492717
digs	0.0491259
fortress	0.0491003
Monastery	0.0490918
fortification	0.0490777
cistern	0.0488599
"hole in the ground"	0.0488484
"bankruptcy protection"	0.048751
"operating room"	0.0486901
"coffee shop"	0.048677
"shopping mall"	0.0483745
schoolhouse	0.048298
"dining room"	0.0481297
"press box"	0.0481061
carport	0.048101
"ice rink"	0.0480869
"car park"	0.0480654
"fantasy world"	0.0479504
dormancy	0.047925
"law practice"	0.0478442
gallows	0.0478102
ballroom	0.047801
trance	0.0477579
"family doctor"	0.0477019
"polling station"	0.0473922
RV	0.0473601
kennel	0.0470193
sarcophagus	0.0469687
orphanage	0.0469394
"medical center"	0.0465342
"summer house"	0.0463189
"German Embassy"	0.0463035
"vacant lot"	0.0461984
lockup	0.0460957
megaplex	0.045956
graveyard	0.0458659
courtyard	0.0458572
"basketball court"	0.0458566
"folding chair"	0.0458099
alleyway	0.0455382
"high gear"	0.0455046
"work camp"	0.0455
pew	0.0453039
bungalow	0.0451196
Igloo	0.0451187
labyrinth	0.0450813
storefront	0.0450453
dryer	0.0449498
cupboard	0.0448741
rink	0.0440116
cot	0.0439892
hostel	0.0438618
lean-to	0.0438271
nursery	0.0436147
"burial ground"	0.0435111
"treasure house"	0.043483
doldrums	0.0434551
"domed stadium"	0.0432363
"community center"	0.0430497
"grocery store"	0.0430277
"living quarters"	0.0430254
sauna	0.0428581
hideaway	0.0428182
"waiting room"	0.0427456
pub	0.0427277
tavern	0.0427087
"Borough Park"	0.0427024
SPA	0.0426916
rehab	0.0426467
"military hospital"	0.0426139
"bus station"	0.0425471
"psychiatric hospital"	0.0424931
dwelling	0.0424544
limousine	0.0423545
"prison camp"	0.0423255
"railroad station"	0.0422661
"World Group"	0.0422546
parlor	0.0422084
"pool table"	0.0421082
"gas station"	0.0421025
sanitarium	0.0420859
"game room"	0.0419947
storehouse	0.0419018
"electric chair"	0.0418052
"day care"	0.0417352
"beach house"	0.0417075
"building site"	0.0416384
"closed session"	0.0414256
brownstone	0.041094
"strong force"	0.041051
penitentiary	0.0410243
"rehabilitation program"	0.040977
ghetto	0.0408254
"water tank"	0.0407566
cookout	0.0406181
"open-air market"	0.0405849
))
("bomb site" (desc 1064.61) (sims
KLIA	0.0919247
"Grand Canyon National Park"	0.080474
MIAs	0.0768446
"machine shop"	0.0699899
bomblets	0.0682769
Drexel	0.0671294
nunnery	0.0646295
"Washington Monument"	0.0628154
"break of serve"	0.0607475
"field hospital"	0.0592484
"Whitney Museum of American Art"	0.0590739
cannery	0.0583779
gravesite	0.0565957
"Orange County Register"	0.0564072
"Orient House"	0.0562435
"building site"	0.0560842
"Palace Museum"	0.0556361
"Sher Bahadur Deuba"	0.0554106
"place setting"	0.0547891
"printing company"	0.0539409
"Museum of Contemporary Art"	0.0538156
"US Embassy"	0.0525658
"Robben Island"	0.0524957
"navy base"	0.0521645
"first school"	0.0513334
Chernobyl	0.0508151
"Potala Palace"	0.0493412
"about @:@@"	0.0493401
Lexis-Nexis	0.0490718
flashpoints	0.0488471
AZ	0.0486295
"Carter Center"	0.0483454
"funeral home"	0.0482799
"Lijiang River"	0.0482662
"Des Moines Register"	0.0481651
"World AIDS Conference"	0.0481097
"Olympic Park"	0.0478976
hospice	0.0478289
"Los Alamos National Laboratory"	0.0473461
"Suzhou Industrial Park"	0.0471652
"Smith Barney"	0.047127
Tennessean	0.0470047
SEF	0.0466971
"Miami Arena"	0.0465679
"military academy"	0.0464664
Maag	0.0464448
"pizza parlor"	0.0458049
"Humane Society"	0.0454169
"Victoria Harbor"	0.0454142
workmen	0.0453951
"Forbidden City"	0.0452971
Stealers	0.0451983
"Empire State Building"	0.0451547
"Prime Ministers"	0.045078
Kenyon	0.0450073
"polling place"	0.0447481
frontlines	0.0445765
"Krishna Prasad Bhattarai"	0.0443824
"Kuala Lumpur International Airport"	0.0442915
Meston	0.0436434
"Valery Pustovoitenko"	0.0436325
"New York Republicans"	0.0433274
abattoir	0.0430098
"Angkor Wat"	0.042968
"Mount Carmel"	0.042892
"Chez Panisse"	0.0428152
Bund	0.0426236
CUC	0.0426118
"Clinton White House"	0.0425627
megaplex	0.0425494
"science museum"	0.0423422
slaughterhouse	0.0422946
"Olympic Village"	0.0422377
ten-day	0.0422318
Zhongnanhai	0.0418809
"Brooklyn Academy of Music"	0.0418524
nightspot	0.0416614
"Felipe Gonzalez"	0.0414668
"Beth Israel"	0.0414265
"bus company"	0.0413424
"National Theater"	0.0412675
Vice-Foreign	0.0412663
"King Birendra"	0.0411765
"Hartsfield International Airport"	0.0410389
"flour mill"	0.0410202
"New Jersey State Police"	0.0408433
"one million US dollars"	0.0408427
"Kennewick Man"	0.0408071
"Colonial Williamsburg"	0.0407105
"Boutros Boutros Ghali"	0.0406359
"University of Iowa"	0.0404971
"Maturino Resendiz"	0.0403792
"beauty salon"	0.0401946
possiblity	0.0401624
hatchery	0.0400928
mini-camp	0.0400042
))
(bombardier (desc 3208.43) (sims
Embraer	0.153453
Denel	0.122456
"Lockheed Martin"	0.117653
"McDonnell Douglas"	0.113832
"Boeing Co."	0.113773
ENTREMED	0.105711
"Pratt &AMP; Whitney"	0.102432
"Lockheed Martin Corp."	0.10215
Schering	0.101352
FPL	0.100518
Alcoa	0.0998295
TRW	0.0960047
"Abbott Laboratories"	0.0955866
"Glaxo Wellcome"	0.0951628
Corel	0.0937967
Pfizer	0.0925429
Raytheon	0.0916977
"Qualcomm Inc."	0.091504
"Pfizer Inc."	0.0912196
ENTERGY	0.0909014
Lockheed	0.08944
EMC	0.0893167
Alcatel	0.089182
Nokia	0.0885557
Ericsson	0.0879245
Boeing	0.0872055
"J&AMP;J"	0.0868392
"Wyeth-Ayerst Laboratories"	0.0868348
"Allied Signal"	0.0857597
Starwood	0.0856903
Astra	0.0853181
Agusta	0.0838108
Electrolux	0.0829825
cn	0.0828742
RJR	0.0823071
Airbus	0.0822172
"Air Canada"	0.0819917
Enron	0.0817474
"Airbus Industrie"	0.0809931
Unicom	0.0809756
Pirelli	0.080529
VICKERS	0.0804351
"Con Ed"	0.0801264
McKesson	0.080114
"Bausch &AMP; Lomb"	0.0795893
Biogen	0.0795316
"Softbank Corp."	0.0793017
"Media Partners"	0.0792245
Medtronic	0.079177
REPSOL	0.079134
"Freddie Mac"	0.0782612
Bridgestone	0.0781816
Google	0.0780847
"Union Carbide"	0.0773925
Halliburton	0.0773416
China.com	0.0772605
"SmithKline Beecham"	0.0770121
Psion	0.0768172
Seagram	0.0767722
"Ford Motor"	0.0767009
"Computer Associates"	0.076422
Litton	0.0764097
"Levi Strauss"	0.0757895
"Smith &AMP; Wesson"	0.0756728
Healtheon/WebMD	0.0756333
"De Beers"	0.0748463
Alltel	0.0748197
Hyundai	0.0747499
"Fannie Mae"	0.0747078
IDT	0.0746355
Goodyear	0.0742971
CalPERS	0.0738861
PETROBRAS	0.0736907
JetBlue	0.0733232
CCE	0.0732136
Roche	0.0730557
AstraZeneca	0.0729586
"Korean Air"	0.0729239
Reebok	0.0726278
Marconi	0.072599
Bestfoods	0.0725856
Tropicana	0.0725412
Schlumberger	0.0724954
GPU	0.0721754
Akamai	0.0717619
Gilead	0.0717407
Emulex	0.0714593
Hasbro	0.0713774
Checkfree	0.0712822
Changhong	0.0710521
"Northern Telecom"	0.0710507
Fiat	0.0709562
Healtheon	0.0708602
"EMC Corp."	0.0704371
TYCO	0.0704345
Nortel	0.0704146
Qualcomm	0.0703759
UAL	0.0701805
Amgen	0.0701072
Telefonica	0.0699903
Marketspan	0.0699694
"Network Associates"	0.06986
DoubleClick	0.0696618
AlliedSignal	0.0696083
"Philip Morris"	0.0691593
Broadcom	0.0688763
"American Home Products"	0.0683741
Motorola	0.0680853
"National Grid"	0.0680573
Compaq	0.0679127
"Thermo Electron"	0.0677785
Olivetti	0.0677778
"British Foreign Office"	0.0677709
Loral	0.0676846
Monsanto	0.0675099
SAA	0.0671205
"JDS Uniphase"	0.0671102
Fedex	0.0669072
Vivendi	0.0669038
"Boeing company"	0.0668982
Gymboree	0.0667959
"Mannesmann AG"	0.0667837
Novell	0.0666207
ALZA	0.0665174
Honeywell	0.0664198
LVMH	0.066405
ExciteAtHome	0.066204
WPP	0.0661992
Gillette	0.0660218
Samsung	0.0659572
"Applied Materials"	0.0659536
Corning	0.0658226
Cisco	0.0657746
"Ford Motor Co."	0.0654527
Echostar	0.0653394
Northpoint	0.0652432
Delphi	0.0652327
"Knight Ridder"	0.0650757
Novartis	0.0650415
NEC	0.064952
REVLON	0.0649445
Caltrans	0.0648423
BASF	0.0648271
Bayer	0.0647523
AMD	0.0647189
"Oracle Corp."	0.0646608
"Sara Lee"	0.0644181
"BP Amoco"	0.0643774
IEC	0.064181
"Advanced Micro Devices"	0.0640942
Associates	0.0640506
Bertelsmann	0.0639269
"Monsanto Co."	0.0638502
TKT	0.0637199
"Merck &AMP; Co."	0.0636724
"Georgia Power"	0.0635205
Volkswagen	0.0635188
AMR	0.063457
Heinz	0.0634476
HKFA	0.0634213
NCR	0.0632679
Intel	0.0630966
SBC	0.0630527
"Legend Group"	0.0630017
"Federal Express"	0.0628441
"MCI WorldCom"	0.0627786
"Nortel Networks Corp."	0.0627707
"PG&AMP;E"	0.0627255
Amoco	0.0627131
Pepsico	0.0626732
Transmeta	0.062666
Merck	0.062659
"Vanguard Group"	0.0625982
IAI	0.0622258
Amway	0.0621673
Amtrak	0.062165
"Bank of Scotland"	0.061902
"Royal Bank"	0.0618285
"P&AMP;G"	0.0617558
Chiron	0.0617308
Ducati	0.0616442
Philips	0.0616245
"Dow Corning"	0.06158
"Cisco Systems Inc."	0.0615785
Celera	0.0614983
Pemex	0.0614672
"Phelps Dodge"	0.0613543
RealNetworks	0.0612796
Nestle	0.0612427
Nissan	0.0612233
Cerent	0.0611176
E-LOAN	0.0610623
Sunbeam	0.0610288
"Coca-Cola Co."	0.0608033
SEABROOK	0.0607283
Maytag	0.0605801
Eskom	0.0603929
"Cox Communications"	0.0603858
Genzyme	0.0603363
Kodak	0.0602853
))
(bombardment (desc 32779.4) (sims
"air raid"	0.298535
shelling	0.263887
"air attack"	0.253703
airstrikes	0.226938
bombing	0.197823
raid	0.179393
attack	0.163905
strike	0.160464
"military action"	0.157907
offensive	0.156524
airstrike	0.148181
aggression	0.138593
barrage	0.138034
"military campaign"	0.13796
assault	0.136505
blockade	0.12387
"artillery fire"	0.119394
artillery	0.118141
onslaught	0.117536
fighting	0.117476
invasion	0.116449
"ground attack"	0.110241
massacre	0.103719
ambush	0.102718
crackdown	0.0999478
clash	0.0976682
siege	0.0974623
"bomb blast"	0.0960966
occupation	0.0948755
blitz	0.0944553
explosion	0.0940204
war	0.0929423
intervention	0.0924503
incursion	0.0913032
firing	0.0908748
counterattack	0.0904521
gunfire	0.0898199
bloodshed	0.0889371
cleansing	0.0885617
missile	0.0882232
violence	0.0881409
"surprise attack"	0.0881333
bomb	0.0880484
"mortar fire"	0.0879731
blast	0.0878155
rioting	0.087454
destruction	0.0866769
warfare	0.0863912
repression	0.0863347
killing	0.0849652
walkout	0.0845002
confrontation	0.0841354
"air-to-surface missile"	0.0830374
unrest	0.0826395
downpour	0.0822817
warplanes	0.0822102
embargo	0.0816405
hostility	0.0811319
operation	0.0809483
atrocity	0.0801139
sanction	0.0799864
riot	0.0799526
rampage	0.0799176
purge	0.0781148
"civil war"	0.0779616
looting	0.0777297
"bombing run"	0.0776553
sickout	0.0774282
retaliation	0.0768963
"work stoppage"	0.0768261
"Operation Desert Fox"	0.0764161
deployment	0.0758715
eruption	0.0757827
reprisal	0.0757757
provocation	0.0757041
sortie	0.075653
demonstration	0.0754504
earthquake	0.0750831
shooting	0.0750042
flood	0.0744174
"war game"	0.07429
"heat wave"	0.0737489
Quake	0.0735259
storm	0.0731403
slaughter	0.0730767
buildup	0.0728282
skirmish	0.0727963
persecution	0.0726345
conflict	0.0725802
harassment	0.0718717
pullout	0.0718403
"air power"	0.0713856
evacuation	0.0713497
escalation	0.0712249
combat	0.071103
protest	0.0708921
pounding	0.0708578
closure	0.0707539
expulsion	0.0705399
boycott	0.0701646
maneuver	0.0697252
action	0.0695077
"price war"	0.0691184
"cluster bomb"	0.068634
surveillance	0.0682873
shutdown	0.0680458
bloodbath	0.067838
NATO	0.0675887
deluge	0.0673983
patrol	0.0673815
turmoil	0.0672943
spraying	0.0670777
tornado	0.0669438
battle	0.0659375
takeover	0.0659184
mortar	0.0657303
exercise	0.0657027
withdrawal	0.0656721
landslide	0.0655626
manhunt	0.0655528
manoeuvre	0.065485
targeting	0.0654397
abduction	0.0653987
"Hurricane Georges"	0.0653765
terror	0.0651342
kidnapping	0.0649917
terrorism	0.0649019
Execution	0.0647833
blaze	0.0642735
brutality	0.0642266
"Hurricane Mitch"	0.0641719
spree	0.0641714
blackout	0.0637861
famine	0.0635342
temblor	0.0634502
gunfight	0.0634448
seizure	0.0634026
"car bomb"	0.0632736
tremor	0.0632208
firefight	0.0631959
rocket	0.0630148
incident	0.0629826
sabotage	0.0626268
hurricane	0.062556
demolition	0.0625241
mudslide	0.0625238
agitation	0.0624941
disaster	0.0623778
overflights	0.0621039
snowstorm	0.0619962
battering	0.0616882
genocide	0.0615269
inspection	0.0612211
activity	0.0611582
assassination	0.0610582
violation	0.0609106
"military force"	0.0606122
meltdown	0.0604733
flooding	0.0603041
deportation	0.0602597
expansion	0.0599218
drought	0.0598175
layoff	0.059481
guerrilla	0.0592872
selloff	0.0592722
upheaval	0.058983
turbulence	0.0588702
abuse	0.0588596
eviction	0.0586765
troop	0.0586442
standoff	0.05859
wave	0.0585855
catastrophe	0.0585817
casualty	0.0583715
detention	0.058283
"price cutting"	0.0580505
gunbattle	0.0576393
carnage	0.0575858
oppression	0.0575528
accident	0.0573779
bloodletting	0.0573377
"arms race"	0.0572575
diplomacy	0.0572498
uprising	0.0572463
rebellion	0.0571098
sit-in	0.0570423
exodus	0.0570284
crisis	0.0569625
intimidation	0.0568732
threat	0.0566815
beating	0.0566778
outbreak	0.0564839
fumigation	0.0564379
truce	0.0563095
shootout	0.056212
sell-off	0.0560892
stoppage	0.0560813
Mission	0.0559346
"expansion plan"	0.0557359
ceasefire	0.0556091
))
(Bombast (desc 4108.35) (sims
bluster	0.059543
bravado	0.0505984
fisticuffs	0.0491673
drivel	0.0478827
flamboyance	0.0478713
"Erin Brockovich"	0.0475584
nastiness	0.0473614
showmanship	0.0473519
"convenience food"	0.0469404
blather	0.0463304
"gefilte fish"	0.045117
grandiosity	0.0450779
ebullience	0.0439962
hyperbole	0.0429938
duplicity	0.0422848
cynicism	0.0422542
arrogance	0.0418673
schtick	0.0416308
wistfulness	0.0415639
stupidity	0.0414143
posturing	0.0410798
fervor	0.0410224
playfulness	0.0405035
one-liner	0.0400395
))
(Bombay (desc 13702.2) (sims
Madras	0.199481
Calcutta	0.194319
Chennai	0.181536
Bangalore	0.178499
Mumbai	0.177898
Hyderabad	0.167674
Karachi	0.154787
Jaipur	0.137292
DHAKA	0.13134
Delhi	0.130025
Lahore	0.125048
"Kuala Lumpur"	0.124912
"Sao Paulo"	0.123704
Srinagar	0.123413
PATNA	0.119411
Taipei	0.119249
Bangkok	0.115195
Jakarta	0.114273
"New Delhi"	0.112912
"Cape Town"	0.111367
"Buenos Aires"	0.109815
Istanbul	0.109573
JOHANNESBURG	0.109388
Brisbane	0.109266
Tokyo	0.109121
CARACAS	0.109014
"Ho Chi Minh City"	0.108493
SEOUL	0.107424
Dublin	0.107401
Islamabad	0.107275
MELBOURNE	0.106602
Manila	0.106474
"Tel Aviv"	0.106467
"Mexico City"	0.106357
Milan	0.10625
Beirut	0.105186
Frankfurt	0.104624
Osaka	0.104616
Amsterdam	0.104415
TEGUCIGALPA	0.103714
Belfast	0.103271
BOGOTA	0.103242
Prague	0.103157
Zurich	0.10161
Paris	0.101126
Tripoli	0.101093
Nairobi	0.10081
"Santo Domingo"	0.10025
LONDON	0.0999904
LISBON	0.099705
HANOI	0.0987566
Durban	0.0979263
Vienna	0.0972962
Amman	0.0972353
BRUSSELS	0.096809
BUCHAREST	0.0966965
Port-au-Prince	0.0963879
COLOMBO	0.0955615
"Bandar Seri Begawan"	0.0955573
CAIRO	0.0951947
Baku	0.0949475
Dushanbe	0.0949251
Madrid	0.0944525
Tapachula	0.0943036
"Phnom Penh"	0.0943016
Mombasa	0.0942377
BUDAPEST	0.0937564
STOCKHOLM	0.0936199
Peshawar	0.093581
Kigali	0.0935254
Lagos	0.093494
"Guatemala City"	0.0933482
Kabul	0.0930691
Auckland	0.0927413
Surabaya	0.0919058
Lucknow	0.0913434
Abidjan	0.091125
Honolulu	0.0908154
ATHENS	0.0907217
Krakow	0.0898902
Perth	0.0897656
"San Salvador"	0.0891526
Shanghai	0.0891283
WARSAW	0.088972
Pretoria	0.088748
KAMPALA	0.0885704
KIEV	0.0881295
Berlin	0.08811
Copenhagen	0.0877126
Murmansk	0.0875518
Rajasthan	0.0868935
Moscow	0.0867714
HARARE	0.0866748
Jeddah	0.0862307
Santiago	0.0861823
"St. Petersburg"	0.08607
"Port Moresby"	0.0859489
Pristina	0.0857894
Dili	0.0857047
Bujumbura	0.0856735
MANAMA	0.0856641
Lima	0.085607
Bern	0.085581
Kathmandu	0.0854732
Acapulco	0.0853806
Sydney	0.0853419
TIRANA	0.0851865
Skopje	0.0851083
Lhasa	0.0849335
Havana	0.0848418
"CHIANG MAI"	0.0845644
SOFIA	0.0844154
Minsk	0.0842539
Tehran	0.0842282
"La Paz"	0.0841157
Haifa	0.0840239
Lusaka	0.0838704
Makhachkala	0.0831265
"Rio de Janeiro"	0.082857
Hamburg	0.0828443
Rotterdam	0.0824073
Algiers	0.0823532
Suva	0.0821951
Medellin	0.0813429
Monrovia	0.0812253
BEIJING	0.081185
TUNIS	0.0811558
"Addis Ababa"	0.081049
Izmir	0.0810239
PALERMO	0.080693
Jayapura	0.0806855
Quito	0.0801787
Rome	0.0801609
"Los Angeles"	0.0799894
Antwerp	0.0798627
Luanda	0.0798226
Asmara	0.079666
Duesseldorf	0.0794856
Tashkent	0.0794761
Glasgow	0.0793375
Riyadh	0.079168
Sarajevo	0.0786845
Damascus	0.0785747
"San Juan"	0.0784041
Geneva	0.0782803
DUBAI	0.078151
Munich	0.0779869
YANGON	0.0779811
Memphis	0.0776693
Guadalajara	0.077491
Managua	0.0774469
Singapore	0.0772991
"Gaza City"	0.0772816
Nagoya	0.0771936
MAPUTO	0.0771901
Newark	0.0771033
anchorage	0.0770818
"Little Rock"	0.0768348
Kandahar	0.0764438
"Banja Luka"	0.0763682
Dakar	0.076267
Vientiane	0.0761939
Rio	0.0759668
Doha	0.0755214
Ambon	0.0753788
Wellington	0.0747862
"New Haven"	0.0747522
Windhoek	0.0746719
Fukuoka	0.0745318
Halifax	0.0745058
Accra	0.0744231
Tbilisi	0.073851
Vladivostok	0.0737428
Alexandria	0.0737279
Minneapolis	0.073468
ZAGREB	0.0734128
Podgorica	0.0733906
Gaza	0.0730627
Vladikavkaz	0.0729947
Katmandu	0.0728017
"Oklahoma City"	0.0727597
Wuhan	0.0726737
Helsinki	0.0725853
Guangzhou	0.0724938
Kuito	0.0720149
"Fort Worth"	0.071864
Naples	0.0716999
Oslo	0.071538
Maseru	0.0714067
Montreal	0.0711158
Harlem	0.0710853
Albany	0.070682
Leipzig	0.0706805
"San Francisco"	0.0704934
Reykjavik	0.0703663
SANAA	0.070339
Muscat	0.0703354
"Quebec City"	0.0703104
Manchester	0.0702939
Birmingham	0.070262
))
("Bombay Stock Exchange" (desc 9277.69) (sims
"short covering"	0.139979
profit-taking	0.105793
Sensex	0.100626
"Chicago Board of Trade"	0.0985066
buying	0.0941591
"stock exchange"	0.093783
Mumbai	0.0930643
BSE	0.0925122
"New York Mercantile Exchange"	0.0893125
"Tokyo Stock Exchange"	0.088262
"over @@@ points"	0.088025
"Chicago Mercantile Exchange"	0.0839223
selling	0.0819077
"Board of Trade"	0.0789973
bargain-hunting	0.0760958
"Karachi Stock Exchange"	0.0756409
"stock market"	0.0749064
"Sensitive Index"	0.0719145
"Jakarta Stock Exchange"	0.0651178
"Stock Exchange of Thailand"	0.0649334
"Philippine Stock Exchange"	0.0643141
Bourse	0.0632957
"Toronto Stock Exchange"	0.0613634
"New York Stock Exchange"	0.0589612
"Hong Kong Stock Exchange"	0.0560628
Bovespa	0.0552909
"Kuwait Stock Exchange"	0.0552771
"Singapore Stock Market"	0.0531946
"first minutes"	0.052873
"London Stock Exchange"	0.0528223
sharemarket	0.0511797
Nasdaq	0.0501569
"CAC @@"	0.0500914
FTSE	0.0496233
"Dhaka Stock Exchange"	0.0496173
KLSE	0.0492536
"Kuala Lumpur Stock Exchange"	0.0481973
"Dow Jones Industrial Average"	0.0478657
BSE-@@@	0.0474188
scrip	0.046472
"Nikkei Stock Average"	0.0463802
"FTSE @@@"	0.0456568
"Nasdaq Stock Market"	0.0438808
lutz	0.043709
DAX	0.0435716
"Shanghai Stock Exchange"	0.0434816
"Xetra Dax"	0.0430575
"Shanghai Composite Index"	0.0425215
"exchange market"	0.0417566
"Volleyball Championship"	0.0412519
Nikkei	0.0412096
yen	0.0410706
liquidation	0.0409338
IPC	0.0408785
"Philippine Stock Exchange Index"	0.0408592
peso	0.0407393
"blue chip"	0.0406088
))
(bomber (desc 44683.1) (sims
fighter-bombers	0.218061
warplanes	0.214597
aircraft	0.186746
fighter	0.176708
B-@@	0.160994
helicopter	0.158158
gunship	0.15726
F-@@s	0.155647
plane	0.152066
warplane	0.149837
F-@@	0.149511
warship	0.149358
jet	0.147936
submarine	0.14489
missile	0.141679
"fighter aircraft"	0.136708
"attack aircraft"	0.132238
terrorist	0.12443
B-@	0.120725
attacker	0.118867
"aircraft carrier"	0.113978
MiG-@@	0.113758
tanker	0.113535
airplane	0.112293
F-@@@	0.109681
artillery	0.108535
destroyer	0.106531
militant	0.105198
assailant	0.105033
Prowler	0.103812
bomb	0.103286
gunboat	0.103266
ship	0.101881
guerrilla	0.100626
frigate	0.100566
robber	0.0996253
troop	0.0987018
MiG-@@s	0.0986489
pilot	0.098043
vessel	0.0980165
airliner	0.0978803
tank	0.0977789
gunmen	0.0974037
"Air Force"	0.0966209
commando	0.0956855
"American plane"	0.0954902
"surface ship"	0.094646
C-@@@	0.0944342
gunman	0.0941833
suspect	0.0932206
rocket	0.0932133
soldier	0.0926888
squadron	0.0916454
Apaches	0.091458
interceptor	0.0888638
airmen	0.088267
marine	0.0882458
AN-@@	0.0880733
rebel	0.0878046
perpetrator	0.087195
bombing	0.0865649
extremist	0.0865491
B-@s	0.0862438
servicemen	0.0861675
paratrooper	0.0859918
"patrol boat"	0.0851256
MD-@@	0.0851104
"personnel carrier"	0.0847769
weapon	0.0831134
assassin	0.0822002
SU-@@	0.0821058
Learjet	0.0820333
"surface-to-air missile"	0.0820304
Killer	0.0816317
bandit	0.0813162
"ballistic missile"	0.0803726
"car bomb"	0.0801403
jetliner	0.0798816
sniper	0.079528
C-@@	0.0793677
"Airbus A@@@"	0.0793381
kidnapper	0.0792788
A@@@-@@@	0.079232
criminal	0.0774962
stealth	0.0770695
Hijacker	0.0762261
"container ship"	0.0759247
launcher	0.075694
A-@@	0.0755253
"nuclear weapon"	0.0754895
boat	0.0747624
vehicle	0.0746845
policemen	0.0746676
osprey	0.0739541
reconnaissance	0.0738751
glider	0.0738729
smuggler	0.0737583
militiamen	0.0735993
"military personnel"	0.0733521
A@@@	0.0728048
fleet	0.0720238
"rocket launcher"	0.0717118
sailor	0.0716059
"military vehicle"	0.0716049
dissident	0.0715468
DC-@@	0.0714035
DC-@	0.0713621
craft	0.0712608
peacekeeper	0.0711316
"TWA Flight @@@"	0.0707641
hacker	0.0707182
tomcat	0.0706788
"USS Enterprise"	0.0704289
"U.S. Air Force"	0.0703044
Cruiser	0.0702736
freighter	0.069977
"attack submarine"	0.069663
Apache	0.0694366
arsonist	0.0693577
officer	0.0692377
murderer	0.0691249
guerilla	0.0690379
"jet plane"	0.0689782
Satellite	0.0686541
fugitive	0.0685206
Concorde	0.0684891
navy	0.0684233
warhead	0.0682546
chopper	0.0682329
"drug trafficker"	0.0680036
Unabomber	0.0677384
"oil tanker"	0.0676126
looter	0.067538
"explosive device"	0.0674903
radar	0.0674233
weaponry	0.0672615
"crew member"	0.0670054
"intelligence agent"	0.0669338
"cargo ship"	0.0667816
torpedo	0.0666809
"air defense"	0.0666194
infantry	0.0664898
personnel	0.0664139
"atomic bomb"	0.066373
spacecraft	0.0663361
Cessna	0.0661693
crew	0.0659751
"intercontinental ballistic missile"	0.0656247
"Liberation Tigers of Tamil Eelam"	0.0656183
"military force"	0.0655773
army	0.0655144
paramilitary	0.0654818
intruder	0.0652666
Libyan	0.0649619
thief	0.064827
Hezbollah	0.0647843
battalion	0.0646659
gang	0.06461
Laden	0.0645611
spy	0.0645566
"fire engine"	0.0644857
"Flight @@@"	0.064443
F-@	0.063823
"naval forces"	0.0633176
rioter	0.0632533
cannon	0.0632395
shuttle	0.0631843
truck	0.0631093
biplane	0.0628745
mortar	0.0628696
"spy satellite"	0.0624716
sortie	0.062321
civilian	0.0620695
speedboat	0.0620601
Boeing	0.0620522
barge	0.0620388
Grenade	0.0619596
Rapist	0.0613231
"police officer"	0.0611985
"drug dealer"	0.0609461
"Swissair Flight @@@"	0.0608759
mercenary	0.0605744
"nuclear warhead"	0.0605709
"military officer"	0.0601914
police	0.0600794
"machine gun"	0.0599639
thug	0.0598442
serviceman	0.0598171
"war criminal"	0.0596745
"weapons system"	0.0596307
cadre	0.0595999
trawler	0.0594325
firefighters	0.0592972
diver	0.0592493
unit	0.059043
"security force"	0.058979
militia	0.058946
A-@@@	0.0587631
trafficker	0.0586548
separatist	0.0583091
))
(bombing (desc 143563) (sims
attack	0.27324
killing	0.241959
explosion	0.211504
massacre	0.205616
raid	0.204605
"bomb blast"	0.201753
bombardment	0.197823
shooting	0.197229
airstrikes	0.193394
strike	0.193183
blast	0.188969
slaying	0.188057
incident	0.187989
"air raid"	0.182041
kidnapping	0.179832
assassination	0.175235
murder	0.174733
violence	0.170049
"air attack"	0.167383
assault	0.163845
crash	0.162915
hijacking	0.158885
shelling	0.156128
"military action"	0.153912
accident	0.152459
war	0.146298
atrocity	0.144426
riot	0.143438
robbery	0.142888
bomb	0.140587
abduction	0.139013
fighting	0.136544
invasion	0.135683
arrest	0.135472
Death	0.134731
crime	0.133063
earthquake	0.131923
genocide	0.131914
aggression	0.131622
rape	0.130112
terrorism	0.129097
action	0.128636
coup	0.128144
clash	0.128141
crackdown	0.123826
arson	0.122843
scandal	0.122377
fire	0.12219
Quake	0.121692
ambush	0.121304
theft	0.120893
act	0.117855
disaster	0.114893
offensive	0.114756
"car bomb"	0.114731
tragedy	0.114423
destruction	0.114311
conflict	0.113314
disappearance	0.113211
beating	0.113136
collapse	0.112318
unrest	0.111199
abuse	0.111114
protest	0.111055
looting	0.110446
rioting	0.10956
outbreak	0.109501
operation	0.108192
crisis	0.107727
demonstration	0.107172
intervention	0.106835
violation	0.106736
"armed robbery"	0.10664
firing	0.104872
incursion	0.104619
"civil war"	0.104008
threat	0.103126
sanction	0.102919
attempt	0.102837
burglary	0.10266
"war crime"	0.102135
bloodshed	0.10165
campaign	0.100865
occupation	0.100306
activity	0.100268
NATO	0.0998051
blockade	0.0993179
failure	0.099011
flood	0.09864
Execution	0.0982152
"military campaign"	0.0981724
rampage	0.0974465
torture	0.0972109
turmoil	0.0971988
slaughter	0.0958048
takeover	0.0957517
tornado	0.0954703
decision	0.0951065
airstrike	0.0948484
cleansing	0.094465
break-in	0.0941964
confrontation	0.0941108
sabotage	0.0936403
Collision	0.0932488
blaze	0.0927613
espionage	0.0925159
plot	0.0923861
"coup attempt"	0.0923314
storm	0.0920667
conspiracy	0.0918887
brutality	0.0918522
homicide	0.091844
harassment	0.0915627
siege	0.0913
deployment	0.0910753
seizure	0.0910605
investigation	0.09094
vandalism	0.0904521
closure	0.0897542
involvement	0.0893978
corruption	0.089213
suicide	0.0891635
"drive-by shooting"	0.0889035
spill	0.0888113
spree	0.0886942
move	0.0883656
uprising	0.0883182
case	0.0880301
"economic crisis"	0.0871113
bomber	0.0865649
allegation	0.0863874
rebellion	0.0863385
fraud	0.0861626
detention	0.0860058
election	0.0857342
trial	0.0857054
embargo	0.0856802
expulsion	0.0852548
capture	0.0847945
devaluation	0.0833708
withdrawal	0.0832464
boycott	0.0830828
release	0.0824936
"drug trafficking"	0.0823579
drought	0.0823
missile	0.082249
delay	0.0816424
holdup	0.0815731
effort	0.0815577
hostility	0.0812514
extortion	0.0805926
repression	0.0805539
shutdown	0.0800692
policy	0.0800158
refusal	0.0799466
announcement	0.0799368
leak	0.0798118
disturbance	0.0796815
conduct	0.0794958
spate	0.079463
terror	0.0794301
poisoning	0.0793798
force	0.0793327
holocaust	0.0792732
test	0.0791305
behavior	0.0790596
persecution	0.0790567
talk	0.0787577
warfare	0.078615
"sexual assault"	0.0785745
launch	0.0785394
accusation	0.0779952
casualty	0.0774409
ruling	0.0772101
meeting	0.0769999
gunfire	0.0769401
loss	0.0767976
"mass murder"	0.0767717
escalation	0.0767656
mishap	0.0767505
provocation	0.0767233
eruption	0.0766873
terrorist	0.0766053
resignation	0.0765532
standoff	0.0765061
situation	0.0764432
exercise	0.0763775
famine	0.0763053
"heat wave"	0.0762628
smuggling	0.0760533
mutiny	0.0760504
crises	0.0759204
inspection	0.0755828
carnage	0.0755729
"Hurricane Mitch"	0.0755619
walkout	0.0751296
onslaught	0.0750175
expansion	0.0749021
"Vietnam War"	0.0748478
event	0.0745609
))
("bombing run" (desc 3365.75) (sims
"combat mission"	0.169701
sortie	0.121642
"air raid"	0.111205
"air attack"	0.103109
airdrop	0.0871857
"space walk"	0.0782526
airstrike	0.0782283
bombardment	0.0776553
reconnaissance	0.0772606
airstrikes	0.0733607
fumigation	0.07126
"nuclear explosion"	0.0640595
warplanes	0.0623733
"field trial"	0.062011
"military action"	0.0599334
"ground attack"	0.059762
"military campaign"	0.0578062
spacewalk	0.0568901
spacewalks	0.0538738
shelling	0.0531792
"domestic flight"	0.0530169
exhumation	0.0526323
"subversive activity"	0.0512503
brouhaha	0.0509318
"marriage proposal"	0.050898
bloodbath	0.0506742
"tour of duty"	0.050399
"proxy fight"	0.048948
furlough	0.0479731
"military mission"	0.0471777
incursion	0.0471173
"military drill"	0.0467447
counterattack	0.0465632
artillery	0.0460617
"air power"	0.0458504
"bankruptcy proceeding"	0.0454095
"sales outlet"	0.0453082
overflights	0.0449983
"fire sale"	0.044869
tabulation	0.0446772
sickout	0.0446566
spraying	0.0446559
"surprise attack"	0.0446457
"rain shower"	0.0442386
stayaway	0.044213
"close call"	0.0442051
onslaught	0.044173
"Joint Liaison Group"	0.043796
counting	0.043602
harangue	0.0433833
"interest rate increase"	0.0431704
manoeuvre	0.0431525
"Iranian POWs"	0.043141
nuptials	0.0431401
carnage	0.0431257
drawdown	0.0431208
exercises	0.0430748
homepages	0.0430434
"bank withdrawal"	0.0430409
"work stoppage"	0.0430364
aftershock	0.0430243
entanglement	0.0429275
"social event"	0.0427393
hostage-taking	0.042623
run-in	0.042316
"crisis situation"	0.042225
"fire drill"	0.042154
"military installation"	0.0421492
"management shakeup"	0.0420135
"guessing game"	0.0419938
munition	0.0417642
"nonstop flight"	0.0417436
enumeration	0.0415826
"waiting game"	0.0415467
walkout	0.0414606
"cloud cover"	0.0412372
"hue and cry"	0.0411978
barbarity	0.0411125
"American plane"	0.0410167
registrant	0.0407767
surveying	0.0406304
crossers	0.0406161
dredging	0.0402287
butchery	0.0402149
protectorate	0.0401169
"military position"	0.0400812
liberator	0.0400501
))
(bomblets (desc 1011.98) (sims
"cluster bomb"	0.147692
munition	0.138774
kilobits	0.10342
spore	0.0913186
"pipe bomb"	0.0888579
"oil slick"	0.0840241
ordnance	0.0832069
"hand grenade"	0.0809521
"land mine"	0.0786757
defoliant	0.0766903
"ice crystal"	0.0717693
"rain shower"	0.0692853
asylum-seekers	0.0690439
neutron	0.068627
"bomb site"	0.0682769
fireball	0.0663831
powerboat	0.0632939
canister	0.0606916
propellant	0.0605136
"space probe"	0.059608
earpiece	0.0591568
"coffee pot"	0.059106
Hearn	0.0582428
"explosive device"	0.0581973
"kilometers per hour"	0.0574269
"paper cup"	0.0571071
megahertz	0.0570271
"atomic bomb"	0.0564077
"chemical agent"	0.0562438
"booby trap"	0.0558319
"a few pounds"	0.0558233
"hydrogen sulfide"	0.0554072
"slip of paper"	0.0552653
"grocery bag"	0.0552068
parasol	0.0550945
locust	0.0550892
"water cannon"	0.054894
sketchbook	0.0546901
"rain cloud"	0.0542968
contaminant	0.0542892
soliders	0.0542271
"sonic boom"	0.05364
megabits	0.0536216
"nuclear warhead"	0.0533001
chaff	0.0526399
"divorce lawyer"	0.0521437
munitions	0.0519233
projectile	0.0509791
firebomb	0.0507781
"cigarette butt"	0.0507023
"bowling ball"	0.0506906
"Human Immunodeficiency Virus"	0.0501245
"brush fire"	0.0499962
Counsell	0.0499816
malathion	0.0495928
louver	0.0494434
"gas tank"	0.0492487
caseloads	0.049246
droplet	0.0488512
landmine	0.0486798
ember	0.0486057
"alarm bell"	0.0484622
"beam of light"	0.0483173
marbles	0.0480941
"water vapor"	0.0480026
Kiareldeen	0.0479401
stapler	0.0476989
subsidence	0.0476162
EP	0.0470737
"pedestrian bridge"	0.0470189
pore	0.0467574
manifold	0.046696
firestorm	0.0466726
"air bubble"	0.0466711
"hot-air balloon"	0.0463611
turbot	0.0462929
"oxygen mask"	0.0462683
airflow	0.0461463
poop	0.0460912
Hantavirus	0.0460542
"basis point"	0.0458897
"weather station"	0.0458897
sortie	0.0458052
Sarin	0.0457889
m.p.h	0.0456116
"race riot"	0.0456061
"about @ inches"	0.0455899
dioxins	0.0455679
indentation	0.0454832
stone-throwers	0.0453932
"first CD"	0.0451016
"petrol station"	0.0449213
anvil	0.0448954
Ershad	0.0445981
illegals	0.0443258
"hue and cry"	0.0443149
"Todd Bodine"	0.0441535
splotch	0.0440906
"electric current"	0.044042
satchel	0.0438677
rollovers	0.0437825
bacterium	0.0437632
hotspots	0.0437537
"Iraqi POWs"	0.0436876
Hemlock	0.0434477
mace	0.0433909
Furbys	0.0430889
"distress signal"	0.0430099
electron	0.0430074
Marinovich	0.0429625
"fire extinguisher"	0.0429419
"raw data"	0.0428276
paintbrush	0.0428109
porpoise	0.0427866
pup	0.0424487
"letter carrier"	0.042424
"freight car"	0.0423385
"hockey stick"	0.0421459
"book bag"	0.042112
"Sri Lankans"	0.0418297
"chain reaction"	0.0417239
"jazz band"	0.0415782
"dance band"	0.0415732
"two bags"	0.0414082
"paper bag"	0.0413113
motorcyclists	0.0412204
"eight kilometers"	0.0411444
skiff	0.0410153
floater	0.0409624
Dumpsters	0.0403646
"screen pass"	0.0403469
"flash flood"	0.0403344
"Starr Report"	0.0403109
"six kilometers"	0.0403011
AK-@@	0.0401061
Karbaschi	0.0400056
))
(bombshell (desc 6198.37) (sims
"hot potato"	0.0707622
"white elephant"	0.0683391
absolutes	0.0667531
corroboration	0.0621014
tress	0.0607962
"trial balloon"	0.0593507
"rate hike"	0.0575707
copout	0.0572619
"rate cut"	0.0555381
tantrum	0.0554673
starlet	0.0549348
"policy change"	0.0548318
"explosive device"	0.0544986
no-brainer	0.0540554
bimbo	0.0539864
"job cut"	0.0534998
"time bomb"	0.0530142
Truism	0.0527623
backsliding	0.0519915
"sour grapes"	0.0519853
gaffe	0.05195
"close call"	0.0517691
pimpernel	0.0517524
"atom bomb"	0.0516608
misperception	0.0512693
snafu	0.0511487
"popularity contest"	0.0508344
broadside	0.0506612
"booby trap"	0.0504441
shocker	0.0502262
hyphen	0.0498038
ifs	0.0497953
raunchy	0.0491164
inhibition	0.0490099
Bosman	0.048817
catastrophe	0.0487621
Catch-@@	0.048618
inkling	0.0485648
bruiser	0.0485424
jeremiad	0.0483127
epiphany	0.0481338
"monkey wrench"	0.0481192
breakthrough	0.0479579
expedient	0.0476753
"wonder drug"	0.0476067
"safety feature"	0.047329
groundswell	0.0471611
"chess game"	0.0469908
letdown	0.0469709
hitch	0.0468025
ingenue	0.0464117
"hand grenade"	0.0461447
dud	0.0461052
"tax liability"	0.0458558
"quid pro quo"	0.0456925
nonevent	0.0455326
"hue and cry"	0.0454839
"history lesson"	0.0454171
"atomic bomb"	0.0452695
"written record"	0.0452664
compliment	0.0451767
"kitchen sink"	0.0450525
"trump card"	0.044994
"tax change"	0.0449265
"leading lady"	0.0447033
fad	0.0446003
bogeyman	0.0443997
diatribe	0.0442899
defining	0.0442436
Ripple	0.0441704
Nuke	0.0441285
"picture postcard"	0.0439675
doubter	0.0437959
half-point	0.0437643
"game of chance"	0.0437431
"loud noise"	0.043743
"raw talent"	0.0437248
go-slow	0.0435614
shtick	0.0434705
wrinkle	0.0434658
whitewash	0.0434375
wimp	0.0434306
derriere	0.0432543
taboo	0.0432273
CRT	0.0432113
"rate increase"	0.0431677
stapler	0.0431675
cakewalk	0.0431267
blockbuster	0.0430101
"numbers game"	0.0429252
wig	0.0429026
godsend	0.0428533
hiccup	0.0427286
ponytail	0.0427169
misstep	0.0427019
postmortem	0.0426742
stat	0.0424671
zingers	0.0424572
miscalculation	0.0423921
"sacred cow"	0.0421059
"hanky panky"	0.0420971
"deja vu"	0.0420874
"background noise"	0.0420558
"second tour"	0.0420526
byline	0.0420523
trickery	0.0419332
firebomb	0.0419064
"car bomb"	0.0418679
"Passion play"	0.0417134
eventuality	0.0416909
"tit for tat"	0.0416871
crowd-pleaser	0.0416861
screed	0.0416008
"rate rise"	0.0415817
"tax income"	0.0415543
cheerleader	0.0415434
"exclamation point"	0.0414959
whodunit	0.0414261
"cluster bomb"	0.0414152
misconception	0.0413429
flare-up	0.0413386
first-grader	0.0413289
slippage	0.0412982
gabfest	0.0412558
"life form"	0.0412541
Grenade	0.0412375
fireball	0.0412146
caveat	0.041175
shindig	0.0411492
makeover	0.0411308
"Supreme Judicial Court"	0.0410669
"secret plan"	0.0409698
"knockout punch"	0.0409407
blunder	0.0409186
prognostication	0.0408719
regrets	0.0408569
mag	0.0408355
treatise	0.0408353
"show business"	0.0407195
"difference of opinion"	0.0406681
heresy	0.0406446
dropoff	0.0405304
hitchhiker	0.0405189
aftershock	0.0405148
dreadlocks	0.0404893
freebie	0.040441
"great year"	0.0404295
finger-pointing	0.0403101
indignity	0.0403093
"pipe bomb"	0.0402565
perjury	0.040242
loony	0.0401513
naysayer	0.040117
junkie	0.0400846
glitch	0.0400478
dude	0.040044
supermodel	0.0400353
))
(bon (desc 1468.82) (sims
"Breda Kolff"	0.0733563
dia	0.0592753
"Orthodox Christian"	0.051033
Sponeck	0.0488635
Hoogenband	0.0476305
TRIER	0.0474353
gilder	0.0429203
"boy wonder"	0.0418355
sf	0.0415678
ter	0.0409499
))
("bon vivant" (desc 1657.14) (sims
raconteur	0.0944206
newspaperman	0.0850386
D.J	0.0678056
ex-Marine	0.0643392
essayist	0.0634454
Midwesterner	0.0634074
"art dealer"	0.0581848
womanizer	0.0577862
"naval officer"	0.0576426
bloke	0.0573753
Triptych	0.0572904
fireman	0.0536214
co-producer	0.0535027
calligrapher	0.0526745
"volleyball player"	0.0519916
"New Democrat"	0.0518471
"stage manager"	0.0518193
cartoonist	0.0517984
do-gooder	0.0514834
"public speaker"	0.0513103
battler	0.0512321
dramatist	0.0507464
portraitist	0.0507235
wonk	0.050654
"school teacher"	0.0501919
"draft dodger"	0.0501896
cellist	0.0496497
"interior decorator"	0.0487184
instrumentalist	0.0486769
violinist	0.0483948
accompanist	0.0481038
goal-scorer	0.0479991
sociopath	0.0478786
backpacker	0.0478474
"jazz musician"	0.0476637
co-writer	0.0476335
prizefighter	0.0470837
doer	0.0464065
bloomer	0.0461786
humorist	0.0461057
dilettante	0.0459144
Chinese-American	0.0458994
"belly dancer"	0.0455831
illustrator	0.045457
pharmacologist	0.0453053
denier	0.0452528
"hard worker"	0.0448488
"film star"	0.0446327
folklorist	0.0442857
"good Samaritan"	0.0442605
rogue	0.0440327
"music critic"	0.0438019
drifter	0.0436921
bricklayer	0.0436817
lashing	0.0436065
"mechanical engineer"	0.0433501
"character actor"	0.0433468
clarinetist	0.0430971
"Christopher Hill"	0.0429328
"management consultant"	0.0427821
deejays	0.0427022
connoisseur	0.0426057
"farm boy"	0.0425013
photojournalist	0.0424953
"good person"	0.0424456
southpaw	0.0422774
philanthropist	0.0421038
oilman	0.041977
colorist	0.0418289
individualist	0.0416902
biker	0.0414962
student-athlete	0.0414261
"big leaguer"	0.041381
"house guest"	0.0413337
arranger	0.0413081
"postmaster general"	0.0412812
hyper	0.0411635
Litigator	0.0411052
bruiser	0.0410432
"leading man"	0.0410295
humanist	0.040992
"young person"	0.0408562
divorcee	0.040388
))
(Bonanno (desc 1071.16) (sims
McCourt	0.12781
Cooke	0.106244
pressman	0.105144
Duvalier	0.103276
Sheppard	0.103255
Gotti	0.0918688
Wiggins	0.0891857
McCombs	0.0887269
Biggs	0.0870358
Naipaul	0.0824513
Abernathy	0.0813626
Riady	0.0803944
Norberg	0.0801617
Sheinbein	0.0793906
Bidwill	0.0784543
Greenberg	0.0782284
Campos	0.0782151
Dickey	0.0774755
Zapruder	0.0772314
Cheever	0.0768275
Berenson	0.0754662
Bloch	0.0744113
Bingham	0.074366
Daley	0.0740679
Gaston	0.0734517
Bessette	0.0730042
"Next Generation"	0.0723291
Brezhnev	0.0721872
Skakel	0.07195
Bronfman	0.0717747
Demps	0.0714533
Sade	0.0711626
Tevanian	0.0710877
Burroughs	0.0706879
Stroh	0.0701182
gangland	0.0699442
O'Malley	0.0689948
Cusack	0.0689657
Cooley	0.0687181
Bhutto	0.0687164
Chung	0.0686593
Russo	0.0679111
Salinas	0.0676003
Echols	0.0671896
Symington	0.0671193
Gantamirov	0.065822
Stephens	0.065614
Clare	0.0654662
Camacho	0.0653
Japanese-American	0.0652543
Weston	0.0651625
Rosen	0.0650175
Nicolas	0.0649837
Chao	0.0646904
Unser	0.0645977
Ding	0.064505
Harrelson	0.0636303
Osmond	0.0635716
Lehrer	0.0633178
Haas	0.0633075
Groh	0.0632233
Sills	0.0632117
Mehta	0.0631341
Chafee	0.0630639
Marcos	0.0629074
Bruno	0.0626443
Rosenberg	0.0625729
Gonzales	0.062409
Scripps	0.062275
Blanton	0.0618591
O'Hair	0.0617532
Gutman	0.0614887
Stroganoff	0.0614575
Wyeth	0.0612976
Yosef	0.0612942
Amedure	0.0608871
Soong	0.0608574
Walden	0.060759
"Irish Catholic"	0.0605745
"George Carlin"	0.0605207
herdsman	0.0604287
Zamora	0.0604192
Harrigan	0.0601241
Levine	0.0600904
Martorano	0.0596116
Clements	0.0596085
Lim	0.0595842
Bartley	0.0595598
Klebold	0.0595441
Panchen	0.0595358
Romanov	0.0595085
Oppenheimer	0.0592216
Berisha	0.059221
Cruz	0.0591427
Angara	0.0590021
Colangelo	0.0587546
Allard	0.0587012
McCaw	0.0586585
Rollins	0.0585197
Cuomo	0.0585029
Keating	0.0580747
Fagan	0.0579681
Bates	0.057879
thuggish	0.0572174
Aleman	0.0570552
Musa	0.0567538
al-Saud	0.0564813
kraut	0.0563394
Hoffa	0.0563204
Grimes	0.0562623
"defense lawyers"	0.0561742
varsity	0.0561352
Mosley	0.0560438
Udall	0.055959
potty	0.0556017
Alford	0.0555769
Newhouse	0.0554021
Partridge	0.0553912
DERSHOWITZ	0.0552493
Dahmer	0.055219
Chopra	0.055205
Allchin	0.055088
Robb	0.0550065
Willard	0.0549883
Bech	0.0549784
Mayberry	0.0549607
Ellsworth	0.0549504
Maher	0.0548973
Nunez	0.0548681
Farber	0.0548563
Vonnegut	0.0543752
Lennon	0.0543501
Ivey	0.0542494
Guthrie	0.0540037
Schmidt	0.0539376
"Kosovar Albanian"	0.0538155
Schmalensee	0.0537435
Cleaver	0.0536826
Dolan	0.0536241
Lew	0.0534644
Stayner	0.0533851
Walton	0.0533439
Lessig	0.0532988
Shriver	0.0532977
Rivlin	0.0530552
Wrigley	0.0530441
Protas	0.0529927
Mendez	0.0529047
Mellon	0.0528564
Pryor	0.0528504
Marvin	0.0527259
Percy	0.0526338
Villanueva	0.05252
Galbraith	0.0524902
Gerstner	0.0524157
Turetzky	0.0523943
Dodd	0.0523551
Andreas	0.0523281
"Lethal Weapon"	0.0523136
Lyman	0.0521904
Nemtsov	0.0521832
Eames	0.0521576
shaken	0.0521114
Dokic	0.0520627
Posner	0.0520503
Alves	0.0518506
Byers	0.0517915
Irish-American	0.0517872
Moceanu	0.0517207
Guinness	0.0516387
Mahoney	0.0516277
Hatfield	0.0514867
FitzPatrick	0.0512783
Larson	0.0511894
Capano	0.0511528
lauder	0.050845
Mullinax	0.0507971
Caltrans	0.0507731
O'Reilly	0.0507664
McVeigh	0.0507636
Chappell	0.0507536
Fleming	0.0507116
Curley	0.050653
tanner	0.050486
McCartney	0.0501313
bock	0.0500914
Moxley	0.0500833
Goldwater	0.0500695
Draper	0.0500663
Wyly	0.0500424
Kimes	0.0500227
Rupert	0.0499984
Conley	0.049997
Harrick	0.049988
Diaz	0.0498969
McEwan	0.0496556
Leopold	0.049555
Taufik	0.0493641
Napolitano	0.049322
Regan	0.0492995
))
(bonanza (desc 16237.5) (sims
windfall	0.15563
boon	0.0718259
"white elephant"	0.0689738
riches	0.0681116
boom	0.0648168
juggernaut	0.0641279
payoff	0.0628265
bounty	0.0624851
synergy	0.0610249
letdown	0.0603709
mash	0.0602599
blockbuster	0.0600253
disaster	0.0593501
"tax benefit"	0.0582188
catastrophe	0.0580551
deluge	0.0577585
payout	0.0572196
infusion	0.0571404
"cash cow"	0.0569247
nightmare	0.0568529
lode	0.0562149
frenzy	0.055877
payday	0.0558401
flop	0.0556668
shortfall	0.0553819
uptick	0.0546434
embarrassment	0.0545536
"good deal"	0.0543619
gimmick	0.0538037
dud	0.0533114
outpouring	0.0529541
phenomenon	0.0529097
influx	0.0528545
moneymaker	0.0527906
onslaught	0.0523915
blitz	0.0523417
"tidal wave"	0.0521007
turnaround	0.0519515
catharsis	0.0512639
cliffhanger	0.0510729
magnet	0.0506377
largess	0.0501972
"history lesson"	0.050136
largesse	0.0500704
"Murphy Brown"	0.0499271
makeover	0.0498562
"ad blitz"	0.0496563
slugfest	0.0495933
fiasco	0.0495423
jackpot	0.0495168
wealth	0.0493576
craze	0.0493534
cakewalk	0.049238
extravaganza	0.0489761
thaw	0.0489609
incentive	0.0489598
"quick fix"	0.048825
"measuring stick"	0.0487574
"black eye"	0.0487352
headache	0.0485116
"Christmas present"	0.0482777
surplus	0.0482661
"economies of scale"	0.0482483
smorgasbord	0.0481736
milestone	0.0480663
savings	0.0480508
breakthrough	0.0477802
lifeline	0.0475702
upturn	0.0475696
setback	0.0473154
bailout	0.0472867
shakeout	0.047283
"hard times"	0.0472565
mania	0.0471644
bust	0.0471117
whirlwind	0.0468185
blowout	0.0467154
bonus	0.0466906
grabber	0.0465394
bargain	0.0462169
disincentive	0.0462107
"gold rush"	0.0460401
stunt	0.0457362
"tax break"	0.0456824
whammy	0.0455876
glut	0.0453196
"account executive"	0.0450463
buyout	0.0449572
boomlet	0.0449249
distraction	0.0447888
tie-in	0.0446726
marketplace	0.0445719
hardship	0.0444728
stampede	0.0443152
slowdown	0.0440693
hype	0.0437639
spurt	0.0436187
ploy	0.0436129
"sneak preview"	0.0435604
spectacle	0.0434047
debacle	0.0431542
jolt	0.0431227
E.R	0.0430176
upsurge	0.0429767
resurgence	0.0429166
dividend	0.0428576
"silver lining"	0.0425497
proceeds	0.0425106
showcase	0.0425079
groundswell	0.0424559
falloff	0.0424251
stimulus	0.0424228
"good fortune"	0.0423948
commotion	0.0422942
"turn of events"	0.0421606
backlash	0.0421075
Seinfeld	0.0420919
orgy	0.0420495
Gambit	0.0418865
"revenue growth"	0.0418482
giveaway	0.0418244
saving	0.0416673
clout	0.0416463
publicity	0.0416241
scenario	0.0415981
gamble	0.041498
shocker	0.0414117
no-brainer	0.0413545
empire	0.0413477
downturn	0.0411843
novelty	0.0411621
turnoff	0.0411482
fodder	0.0411266
"success story"	0.0410603
fad	0.0410518
spree	0.0409965
"market correction"	0.0409851
"Twilight Zone"	0.0409644
meltdown	0.0409483
disappointment	0.0409303
abundance	0.0409066
allocation	0.0408556
craziness	0.0407276
omen	0.0406396
vindication	0.0405694
firestorm	0.0405503
reprieve	0.0405229
rebirth	0.0404312
"treasure trove"	0.0403404
loophole	0.040262
blessing	0.0402349
battleground	0.0402045
barrage	0.0401804
epiphany	0.0400795
Promo	0.0400457
maelstrom	0.0400012
))
(bonbon (desc 1554.59) (sims
"chocolate mousse"	0.0940672
"layer cake"	0.0768557
scone	0.0709681
"pound cake"	0.0699236
sundae	0.0690585
Hamburger	0.0688634
sorbet	0.0687852
"Easter egg"	0.0674451
molar	0.0672686
milkshake	0.067092
"jelly bean"	0.0667837
"beach towel"	0.0643855
bratwurst	0.0632552
confection	0.0629058
laxative	0.0602361
sushi	0.0587771
knucklehead	0.0554008
utensil	0.0548135
parasol	0.0539397
thistle	0.0539094
cutlet	0.0535813
torte	0.0533696
doughnut	0.0529006
"potato salad"	0.0527685
pretzel	0.0527066
eggnog	0.0526254
nacho	0.0525368
dandelion	0.0522604
playlist	0.0518908
taco	0.0517503
croissant	0.051581
morsel	0.0514686
takeout	0.0514259
gravy	0.0514248
"chicken wing"	0.0513874
noggin	0.0513383
Martini	0.051095
"filet mignon"	0.0510362
shellfish	0.0508932
joiner	0.050772
confectionery	0.0505201
"french fries"	0.0501565
liqueur	0.0498854
hazelnut	0.0497846
"flowering plant"	0.0496307
cupcake	0.0494664
"root vegetable"	0.0494564
muffin	0.0494142
"soul mate"	0.0493646
fajitas	0.0486971
yarmulke	0.0486843
nightstick	0.0486014
Benecol	0.0482152
"Last Supper"	0.0479995
"ground cover"	0.0479979
"balanced diet"	0.0477339
"frozen yogurt"	0.0476287
crepe	0.0470442
hummus	0.046746
PDA	0.0467442
concoction	0.046639
tapa	0.0465173
biscotti	0.0464992
MacCulloch	0.0462833
frittata	0.0456367
sashimi	0.0456229
Wheaties	0.0453347
shortcake	0.0450451
clover	0.044889
yam	0.0447487
"key market"	0.0446277
singer-songwriters	0.0445531
ravioli	0.0445176
remixes	0.0444148
iMacs	0.0442924
"trial balloon"	0.0441957
"iceberg lettuce"	0.0439926
popsicle	0.0439775
pompom	0.0434514
"raw vegetable"	0.0432682
"whipped cream"	0.043115
plunger	0.0430312
Promo	0.0427306
Advil	0.0427107
booty	0.0425152
legume	0.042479
nonentity	0.042479
varietals	0.0424467
mousse	0.0422651
"vital organ"	0.0422238
topper	0.0422213
dinnerware	0.042152
"Matthew Eappen"	0.0420138
derriere	0.0420088
veggie	0.0419777
"Easter bunny"	0.0418824
jawbone	0.0414509
victimhood	0.0413154
knickknacks	0.0409731
scratching	0.040894
truffle	0.0408383
omelette	0.0408275
colander	0.0407292
meatloaf	0.0407185
"little finger"	0.0405281
registrant	0.0403809
"ball club"	0.0403255
matzoh	0.0402729
meatball	0.0401705
"chocolate cake"	0.0401457
))
(bond (desc 121674) (sims
"Treasury bond"	0.245781
"Treasury bill"	0.190581
loan	0.179917
stock	0.179361
debt	0.172809
fund	0.158202
share	0.14594
"bond issue"	0.141252
equity	0.139701
asset	0.1365
mortgage	0.134804
"junk bond"	0.134417
"debt security"	0.134028
investment	0.134026
"municipal bond"	0.13297
"mutual fund"	0.128441
currency	0.127482
deposit	0.125916
security	0.125323
"bond fund"	0.118795
"Treasury note"	0.11832
treasury	0.114861
debenture	0.113942
cash	0.107217
bail	0.104788
"savings bond"	0.103286
"bond market"	0.101711
payment	0.100796
"stock market"	0.100634
saving	0.0998245
borrowing	0.0984872
"preferred stock"	0.0978586
"bank deposit"	0.0975495
portfolio	0.0970936
Stocks	0.0963797
revenue	0.0963503
"money market"	0.0955429
market	0.0943782
dollar	0.0943219
goods	0.0943035
financing	0.0941429
"certificate of deposit"	0.0940346
sale	0.0939121
credit	0.0936912
note	0.0918655
tax	0.0916192
money	0.0913633
transaction	0.0909583
"foreign exchange"	0.0908603
property	0.0907994
"bond price"	0.0907897
annuity	0.0889834
"real estate"	0.0888566
yield	0.0884024
contract	0.0875786
holding	0.0873597
commodity	0.0864201
donation	0.0864
profit	0.0863571
business	0.0860856
bank	0.0856656
account	0.0853589
"B share"	0.0851499
product	0.0850163
"credit card"	0.0847954
index	0.0846373
insurance	0.0843686
"blue-chip stock"	0.0840978
lending	0.0839048
income	0.0837814
grant	0.083538
offering	0.0833392
value	0.0833137
"interest rate"	0.0827666
yen	0.0825238
fee	0.0823768
reserve	0.0823686
export	0.0821599
IPO	0.0820579
project	0.0804815
"common stock"	0.0802511
"savings account"	0.0802282
ruble	0.0800932
price	0.0797165
spending	0.0787504
"stock option"	0.0781573
trading	0.0776042
sector	0.0772114
earnings	0.0768609
trust	0.0762709
company	0.0762362
relationship	0.0761126
ticket	0.076058
"blue chip"	0.0760321
subsidy	0.0757065
investor	0.0756808
worth	0.0755387
certificate	0.0753222
rate	0.0749456
"insurance policy"	0.0743113
funding	0.0741491
import	0.0737466
deal	0.0735178
CD	0.0730688
peso	0.0726385
surplus	0.0723354
"initial public offering"	0.0721741
option	0.0721034
purchase	0.0720287
"bank account"	0.0718395
trade	0.0718248
interest	0.0710259
amount	0.0709424
contribution	0.0706869
banking	0.0705004
bill	0.0700682
derivative	0.0699751
pension	0.0698027
cost	0.0696966
salary	0.0691188
Euro	0.0688897
budget	0.0688845
aid	0.0686712
"retirement account"	0.0686703
enterprise	0.068649
"tax cut"	0.0682635
"Australian dollar"	0.0682243
receipt	0.0679213
merchandise	0.0678708
program	0.0675431
"tax revenue"	0.0675389
item	0.0674982
"investment fund"	0.0673455
economy	0.0672122
gain	0.0671214
"interest payment"	0.0670053
industry	0.0668166
baht	0.0665456
service	0.0664514
lease	0.0663465
bonus	0.0662176
"life insurance"	0.0661002
package	0.0659937
license	0.0658805
"financial institution"	0.0657831
plan	0.0657445
oil	0.0657043
"trust fund"	0.0655416
rupiah	0.0655228
"oil price"	0.0654704
proceeds	0.0653417
obligation	0.0653032
balance	0.0649263
gold	0.0648759
venture	0.0646035
"debt payment"	0.0645901
Coin	0.0644455
growth	0.0644384
maturity	0.0642148
issue	0.0637418
firm	0.0637404
dividend	0.0634471
technology	0.0631266
"venture capital"	0.0631157
"futures contract"	0.0631018
"credit line"	0.0628462
assistance	0.0627848
expenditure	0.0627709
due	0.0624002
wage	0.0623496
card	0.0621692
check	0.0621281
"retail sale"	0.0621264
"tax credit"	0.0617035
"market value"	0.0615566
equipment	0.0614709
compensation	0.0613922
stake	0.0613561
"tax break"	0.0612727
increase	0.0611953
euros	0.0611093
volume	0.0609478
liability	0.0608594
policy	0.0608585
guarantee	0.0608294
"exchange rate"	0.0607953
premium	0.0605902
inflation	0.0600205
benefit	0.0597253
allocation	0.059634
Advertising	0.0596224
"equity fund"	0.0594274
crop	0.0593788
wheat	0.0590734
total	0.0587562
Housing	0.0585562
endowment	0.0585456
warrant	0.0584814
borrower	0.0584629
future	0.0583993
))
("bond fund" (desc 10328.2) (sims
"equity fund"	0.193984
"mutual fund"	0.174819
"municipal bond"	0.163956
"Vanguard Index @@@"	0.151028
"closed-end fund"	0.143988
"junk bond"	0.132588
"money market"	0.130669
annuity	0.130195
"growth stock"	0.121465
bond	0.118795
"bond offering"	0.108725
Magellan	0.108702
"Treasury bill"	0.108465
"certificate of deposit"	0.101371
Janus	0.100871
portfolio	0.0987028
"debt security"	0.09619
"retirement account"	0.0918938
"convertible bond"	0.0908875
equity	0.0908644
"savings account"	0.0906852
"Treasury bond"	0.0889504
"small cap"	0.0869884
"savings bond"	0.0865383
REITs	0.0853812
treasury	0.0847327
"blue-chip stock"	0.0835733
"investment fund"	0.083044
"debt market"	0.0807741
"retirement plan"	0.0805419
"commercial paper"	0.0753514
"money fund"	0.0748312
"brokerage account"	0.0724447
holding	0.0715803
"common stock"	0.0707769
"bond market"	0.06975
high-yield	0.0685886
"pension fund"	0.0685834
"peer group"	0.0676128
IPO	0.0661634
"trust fund"	0.0659826
"S&AMP;P"	0.0659412
"bond issue"	0.0659067
asset	0.0658207
"Roth IRA"	0.0655578
"real estate"	0.0655297
"venture capital"	0.0646935
"life insurance"	0.064344
"preferred stock"	0.0634966
debenture	0.0615483
endowment	0.0602575
CD	0.0602168
saving	0.0596278
mortgage	0.0595677
"Treasury note"	0.0593213
"checking account"	0.0585299
vanguard	0.0580617
"blue chip"	0.0573365
"endowment fund"	0.0550824
"equity market"	0.0544183
"initial offering"	0.0544014
IRA	0.054102
"bank deposit"	0.0534855
REIT	0.053414
K	0.0521178
transnationals	0.0517982
biotech	0.051686
"investment portfolio"	0.0515808
derivative	0.0502388
"food company"	0.049701
puritan	0.0493669
"Long-Term Capital"	0.049005
pension	0.0486853
dividend	0.0480982
"securities market"	0.0479923
timberland	0.0479886
"initial public offering"	0.0479073
escrow	0.0472304
lending	0.0471123
"capital gain"	0.0469451
merchandise	0.0467857
"penny stock"	0.0466452
"last quarter"	0.0465421
corporates	0.0463165
CMGI	0.0463001
scrip	0.0460086
"bank debt"	0.0458816
"foreign exchange"	0.0458515
borrowing	0.0454833
"Long-Term Capital Management"	0.0445857
"stock certificate"	0.044405
"promissory note"	0.0442081
Stocks	0.0441346
banking	0.0440608
"earnings disappointment"	0.043647
"home mortgage"	0.0434938
"tax credit"	0.0433614
"operating expenses"	0.0432258
"Southern Democrats"	0.0432118
"debt issue"	0.0430427
"leveraged buyout"	0.0426759
"futures exchange"	0.042536
"investment house"	0.0424176
"financial institution"	0.0424175
fidelity	0.0419091
"technology issue"	0.0418873
"high technology"	0.0418849
pawnshop	0.041764
"trucking company"	0.04173
blue-chips	0.0416742
"consumer loan"	0.041429
"reserve fund"	0.0414205
"futures contract"	0.0413035
"bank account"	0.0411297
"tax incentive"	0.0411159
startup	0.0410524
sponsorship	0.0408317
semiconductor	0.0408259
"chain store"	0.0407621
"insurance firm"	0.0404292
"futures market"	0.0401389
"precious metal"	0.0400916
))
("bond investor" (desc 1155.63) (sims
"market participant"	0.102873
"bond trader"	0.102135
"currency trader"	0.0982996
"bond offering"	0.0880559
"bond price"	0.0857878
"futures exchange"	0.0819816
"Di Canio"	0.0788215
"bond market"	0.077354
"convertible bond"	0.073568
bridegroom	0.0732349
ADM	0.0720148
PBSI	0.0707573
"market watcher"	0.0706891
Ebbers	0.0675381
"currency market"	0.0672632
"life insurer"	0.0644643
Chinese-Indonesians	0.0627868
"stock trader"	0.061631
"Levi Strauss &AMP; Co."	0.061462
"debt market"	0.0610817
Whipple	0.0609498
UAM	0.0608155
Inktomi	0.0605573
BSA	0.0597406
"insurance market"	0.057518
Blazevic	0.0572379
"auto company"	0.0559219
Galvin	0.0553496
"food company"	0.0552097
GPU	0.054981
"trust company"	0.0548351
Hirohito	0.0546193
"pain in the neck"	0.0545599
"corporate investor"	0.0544618
"debt security"	0.0542437
"North Carolinian"	0.0533525
Montiel	0.0532416
steelmaker	0.0524725
techs	0.0519458
drugmakers	0.0518939
"National Sports Council"	0.0514736
Jorgensen	0.0512172
AutoNation	0.0511896
Tsvangirai	0.0510651
"growth stock"	0.0509903
"Computer Associates"	0.0509802
corporates	0.050867
"toy maker"	0.0506427
Neulander	0.0506401
toymaker	0.0506043
"Dresdner Bank"	0.0505694
"investment trust"	0.0505271
execs	0.050509
depositor	0.0504492
Babcock	0.0496349
Farah	0.0496341
"Cuban Americans"	0.0496231
anemone	0.0490103
Levitt	0.0486821
"closed-end fund"	0.0482303
blue-chips	0.048196
"Congressional Republicans"	0.0481682
highflier	0.0480701
Schmid	0.0479574
"Russian Jews"	0.0476714
"Russian bank"	0.0474761
Toysmart	0.0462535
"National Republican Congressional Committee"	0.0461918
McInnis	0.0461226
"Citigroup Inc."	0.0460047
"Paolo Di Canio"	0.0459479
Gilmour	0.0456465
bondholder	0.0454299
"Emanuel Steward"	0.0453874
Kessler	0.045097
uninitiated	0.0450911
"Estee Lauder"	0.0450228
USEC	0.0449382
"brokerage house"	0.0447899
Maldini	0.0447785
"debt issue"	0.0445898
Chris-Craft	0.0445245
Holtz	0.0445112
Koehler	0.0443978
"Noboru Takeshita"	0.0443528
"Macao Government"	0.0443389
"Chase Manhattan Corp."	0.0443334
"U.S. Treasury Department"	0.0442732
Boorman	0.04423
Diller	0.0441993
Starwood	0.0440322
"Toyota Motor Corp."	0.0439106
"two pitchers"	0.0438102
Slocum	0.0437284
"department store chain"	0.0436302
homebuyers	0.043592
"National Grid"	0.0434807
Allstate	0.0434756
"Viacom Inc."	0.0434717
submariner	0.0433394
"Yomiuri Shimbun"	0.04324
"Eastman Kodak Co."	0.043185
"options contract"	0.0431555
Weinke	0.0431045
"electronics company"	0.0430572
SingTel	0.04302
"Nomura Securities Co."	0.0428212
Cianci	0.04265
"insurance firm"	0.0426185
"New Jerseyans"	0.0425576
"tax change"	0.0423838
McGreevey	0.0422619
Peyton	0.0422601
"credit bureau"	0.0420347
"building society"	0.0420196
REITs	0.0419131
Weisman	0.041603
drafters	0.0414861
spammers	0.0414398
"investment house"	0.0412776
Paxson	0.041239
Raoux	0.0411692
rickey	0.0410413
Cabletron	0.0409884
"National Thoroughbred Racing Association"	0.0409845
Fiedler	0.0409714
thou	0.0409374
meatpackers	0.0409095
framer	0.0408624
"warm front"	0.0406376
Autodesk	0.0405413
Danka	0.0405199
weighting	0.0405001
"car dealer"	0.0404573
Nkomo	0.0404522
"margin call"	0.040278
Pitney	0.040161
Rossotti	0.0401361
Beijingers	0.0401114
NiSource	0.0400979
))
("bond issue" (desc 11793) (sims
"bond offering"	0.211727
bond	0.141252
"initial public offering"	0.125505
issuance	0.123791
loan	0.122313
borrowing	0.116322
"line of credit"	0.111947
"debt issue"	0.111622
"credit line"	0.106986
IPO	0.105523
bailout	0.102309
debt	0.102208
"Treasury bond"	0.100979
"initial offering"	0.0979145
buyback	0.0976407
tranche	0.0972209
appropriation	0.0937483
Eurobond	0.0934436
"debt security"	0.0928987
flotation	0.0925104
outlay	0.0914444
offering	0.0912935
Eurobonds	0.0907698
"operating budget"	0.0896981
"fund-raising campaign"	0.0894758
"tax credit"	0.0892734
financing	0.0887617
"export credit"	0.088502
"spending cut"	0.088286
"tax cut"	0.0882308
"advertising campaign"	0.0882162
"ad blitz"	0.0879744
endowment	0.0871141
"tax break"	0.0869147
"home mortgage"	0.0847899
"compromise plan"	0.0842044
"tax bill"	0.0836678
overhaul	0.0835268
"tax increase"	0.0834735
"stock buyback"	0.0831673
transaction	0.0819253
budget	0.0813318
"rate increase"	0.0810201
"communications satellite"	0.0808317
"fund-raising drive"	0.0800334
funding	0.0798662
"investment fund"	0.0798558
"personal loan"	0.0795398
"master plan"	0.0791926
debenture	0.0789051
"asset sale"	0.0788147
subsidy	0.0778381
"tax reduction"	0.0777336
"policy change"	0.0777129
write-down	0.0776191
"marketing campaign"	0.0776116
"pilot program"	0.0776057
renovation	0.0771606
"reorganization plan"	0.0766186
"arms deal"	0.0761178
facelift	0.0759647
disbursement	0.0758143
allocation	0.0754949
"tax change"	0.0754694
Privatization	0.0750042
payment	0.0745812
"budget deficit"	0.0742574
payout	0.0742376
"trust fund"	0.0737754
"Treasury bill"	0.0737422
surplus	0.0734708
"debt service"	0.0732262
"equity investment"	0.0731975
buyout	0.0730087
donation	0.0729999
"ad campaign"	0.0727204
"rate cut"	0.0726369
deposit	0.0725027
"endowment fund"	0.0723627
"takeover bid"	0.0714353
"property tax"	0.0709567
initiative	0.0709397
"trade surplus"	0.0709183
"insurance policy"	0.070699
swap	0.0704918
"promissory note"	0.0703784
reorganization	0.0703524
"compensation package"	0.0702624
acquisition	0.0696881
borrower	0.0693923
"purchase price"	0.0690866
"interest payment"	0.0689147
mortgage	0.0685629
"price tag"	0.0682691
write-off	0.0679057
"budget cut"	0.0678791
"letter of credit"	0.0674014
jackpot	0.0671775
"trade bill"	0.0670771
"mutual fund"	0.0668672
"securities market"	0.0668171
"job cut"	0.0667727
"pretax charge"	0.0667428
"education program"	0.0663161
"futures trading"	0.0661209
"junk bond"	0.0659857
windfall	0.0659432
"bond fund"	0.0659067
A@XX	0.0658255
"tax incentive"	0.0657937
"sales tax"	0.0657161
"tax hike"	0.0650995
PRICETAG	0.0648572
"bank deposit"	0.0646093
"joint venture"	0.0645669
repayment	0.0645468
shortfall	0.0643303
auction	0.0642933
installment	0.0641434
lottery	0.0638787
"expansion plan"	0.0638328
revenue	0.0635657
"traveler's check"	0.0634142
recapitalization	0.0632635
"commercial paper"	0.0632078
spending	0.062922
asset	0.0626897
reshuffle	0.0625839
takeover	0.0624324
"pay raise"	0.0623993
sponsorship	0.0622992
"debt market"	0.0621759
voucher	0.0619886
"name change"	0.061939
"Treasury note"	0.0619035
"development plan"	0.0618855
infusion	0.0617611
"Proposition @@"	0.0616276
"savings account"	0.0615695
"war chest"	0.0615554
"software product"	0.0614148
"Marshall Plan"	0.0613629
"tax income"	0.0611962
reduction	0.0611269
"B share"	0.0610218
fee	0.0610177
equity	0.060941
"debt payment"	0.0608795
deregulation	0.0606011
"training program"	0.0605399
expenditure	0.0604678
assistance	0.0604671
"commercial bank"	0.0604373
"retirement account"	0.0602802
deficit	0.0599517
"rate hike"	0.0598284
allotment	0.0598187
scheme	0.0597708
"futures contract"	0.0595899
"proxy fight"	0.0595716
cheque	0.0595258
"plan of action"	0.0594941
Lien	0.0591814
expansion	0.0590018
"equity fund"	0.0589653
lending	0.058864
"trade agreement"	0.0588399
"hostile takeover"	0.0587366
"missile defense system"	0.0585375
"bond trading"	0.0585259
"debt load"	0.0585229
merger	0.0585057
saving	0.0585
Projects	0.0584081
"annual payment"	0.058382
"postage stamp"	0.0582719
cutback	0.0582508
"bond market"	0.058117
"marketing effort"	0.0581041
"municipal bond"	0.0580759
"foreign exchange"	0.057649
"tax revenue"	0.0575908
portfolio	0.0574722
currency	0.0574684
payroll	0.0572363
Ordinance	0.0571624
inflow	0.0570598
abatement	0.0569923
buybacks	0.0569383
NPLs	0.0565719
repurchase	0.0565622
"military drill"	0.0564674
restructuring	0.0564403
divestiture	0.0563184
legislation	0.0563183
"rehabilitation program"	0.0562793
treasury	0.0562382
"investment trust"	0.0560947
"reserve fund"	0.0559064
modernization	0.0558989
))
("bond market" (desc 20991.2) (sims
"stock market"	0.198329
"bond price"	0.19304
"equity market"	0.173985
"currency market"	0.163642
"debt market"	0.152649
market	0.144313
"foreign exchange market"	0.139483
"money market"	0.138272
yen	0.133175
"oil price"	0.128738
peso	0.126777
"Australian dollar"	0.126703
"blue-chip stock"	0.125181
"Wall Street"	0.122657
rand	0.121676
"futures market"	0.121665
"securities market"	0.118181
currency	0.11705
Bourse	0.116726
Stocks	0.115932
"oil market"	0.113352
"housing market"	0.106901
"labor market"	0.106142
stock	0.104977
rupiah	0.103382
Nasdaq	0.103063
economy	0.102348
"futures price"	0.102025
bond	0.101711
"blue chip"	0.101267
"Treasury bond"	0.0989783
sharemarket	0.0988358
Dow	0.0967822
Nikkei	0.0961393
"exchange market"	0.0958492
"stock exchange"	0.0956438
"Philippine peso"	0.0949263
"technology issue"	0.0936973
trading	0.0923111
sector	0.0905
"New Zealand dollar"	0.0900838
"interest rate"	0.0891977
baht	0.0885963
price	0.086156
"banking industry"	0.0857631
"consumer demand"	0.0855284
"exchange rate"	0.0828848
"banking system"	0.0827674
Euro	0.0820686
"insurance market"	0.0816614
index	0.0813752
"Canadian dollar"	0.0805674
"trade balance"	0.080198
"Dow Jones Industrial Average"	0.0800642
blue-chips	0.0797284
"world economy"	0.0784916
Asia	0.0779929
"bond investor"	0.077354
inflation	0.0760682
"vehicle sale"	0.0760338
"market average"	0.0760234
banking	0.0752892
equity	0.0751069
"job market"	0.0746881
earnings	0.0746201
ruble	0.0734179
"futures exchange"	0.0733285
"oil industry"	0.0729397
"home sale"	0.0715659
"investor confidence"	0.0713368
soybean	0.0708851
"Treasury bill"	0.0707456
"Singapore dollar"	0.0705655
treasury	0.0698338
"bond fund"	0.06975
"electronics industry"	0.0697102
manufacturing	0.0696834
investor	0.0693308
"junk bond"	0.0688495
industrials	0.0682121
"trade deficit"	0.0678413
growth	0.0677483
"housing industry"	0.0673973
"equity fund"	0.0668226
"mortgage rate"	0.0664675
"retail sale"	0.066428
"Nikkei Stock Average"	0.0663713
sentiment	0.0656427
"market condition"	0.0655394
tourism	0.0654673
"business community"	0.065348
"bond trading"	0.0652587
"export sale"	0.0648593
"balance of payments"	0.0644322
"earnings report"	0.0642939
marketplace	0.0642594
"foreign exchange"	0.0634366
"film industry"	0.0634238
"mutual fund"	0.0634074
"futures trading"	0.0630086
sell-off	0.0625817
"gas price"	0.0625165
"New York Stock Exchange"	0.0624959
"factory order"	0.0622481
profitability	0.0620585
inflow	0.0620045
"Zimbabwean dollar"	0.0616049
"growth stock"	0.0615709
Tokyo	0.0615552
outlook	0.0611745
"money supply"	0.0611082
"real estate"	0.0610436
"financial institution"	0.060989
profit-taking	0.0603713
"aircraft order"	0.0602218
"monetary system"	0.0599856
lending	0.0599158
"central bank"	0.0593418
"Hong Kong dollar"	0.0590699
consumption	0.0587392
scrip	0.0584687
"Kenyan shilling"	0.0584141
"bank deposit"	0.0583747
liquidity	0.0583664
"economic condition"	0.058341
productivity	0.0582484
"bond issue"	0.058117
Banks	0.058048
"tax collection"	0.0578742
"trading session"	0.0576525
BHP	0.0575952
"business activity"	0.057441
"steel production"	0.0573182
portfolio	0.0571126
shilling	0.0570634
spending	0.0570225
consumer	0.0569294
"unemployment rate"	0.0568442
"investment climate"	0.0567564
"small cap"	0.0565168
"construction industry"	0.0562031
indices	0.0561163
buying	0.0558215
"debt security"	0.0558208
Fed	0.0557456
"insurance business"	0.0557168
"consumer price index"	0.0551952
trader	0.0551805
borrowing	0.0551262
agriculture	0.0550357
"public opinion"	0.0549816
"computer industry"	0.0549694
"US dollar"	0.0547276
"investment fund"	0.0544337
greenback	0.0544185
"business sector"	0.0543919
"Hang Seng"	0.0543455
Renminbi	0.054291
"bond offering"	0.0541876
ringgit	0.0541751
profit	0.0541687
"FTSE @@@"	0.0541605
"East Asia"	0.0541315
turmoil	0.0540685
"shipbuilding industry"	0.0539259
indicator	0.053861
"automobile industry"	0.0538122
won	0.0538097
"bull market"	0.0536363
"business condition"	0.0534775
sales	0.0534644
unemployment	0.053429
fundamental	0.0531287
"Xetra Dax"	0.0526797
revenue	0.0525689
"Latin America"	0.0524316
"S&AMP;P"	0.0523479
"housing sale"	0.0521813
"Nasdaq Stock Market"	0.0520912
bullion	0.0520466
"Straits Times Industrials Index"	0.0520312
employment	0.0519964
"debt issue"	0.0519847
confidence	0.0518672
"Asian country"	0.0518658
Telecom	0.0518571
"truck sale"	0.0517238
bargain-hunting	0.0514423
yuan	0.0514353
"Kuwait Stock Exchange"	0.0513978
"Southeast Asia"	0.0513076
rupee	0.0511901
"commercial bank"	0.0511681
downturn	0.0511396
"arms industry"	0.0507713
"earnings growth"	0.0507132
"Commonwealth Bank of Australia"	0.0506815
Asian	0.050655
"trading system"	0.0505647
"toy industry"	0.0504957
))
("bond offering" (desc 2537.11) (sims
"bond issue"	0.211727
"tax change"	0.128241
flotation	0.125671
"initial offering"	0.122947
"stock buyback"	0.117254
"endowment fund"	0.110078
buyback	0.109152
"bond fund"	0.108725
"fund-raising campaign"	0.103767
A@XX	0.101478
"debt security"	0.101079
"asset sale"	0.0988756
"fund-raising drive"	0.0953715
"initial public offering"	0.0914051
Eurobond	0.0907704
"earnings report"	0.0896156
"bond investor"	0.0880559
IPO	0.087866
"debt market"	0.0874777
"arms deal"	0.087381
issuance	0.087317
"proxy fight"	0.0869049
"debt issue"	0.0863385
"expansion plan"	0.0849696
mega-mergers	0.0846445
"reorganization plan"	0.0827061
"debt load"	0.0823297
PRICETAG	0.0817523
"marketing campaign"	0.0815876
"takeover offer"	0.0812431
"futures exchange"	0.0810614
bankroll	0.0808004
"ad blitz"	0.0793096
write-off	0.0787231
"deficit spending"	0.0785808
"tax income"	0.0785103
counterbid	0.0783332
"hostile takeover"	0.0780103
"operating budget"	0.0775942
"purchase price"	0.0765633
"reserve fund"	0.0754456
divestitures	0.0750869
"marketing program"	0.073843
"road show"	0.0731167
"credit line"	0.0731007
"merger agreement"	0.0724095
debenture	0.07167
"convertible bond"	0.0716252
tranche	0.0714622
"tender offer"	0.0711116
"tax bill"	0.0706017
write-down	0.0700536
ADP	0.0700128
bailout	0.0698325
"line of credit"	0.0694289
facelift	0.0690599
circumnavigation	0.068159
"communications satellite"	0.0679131
"takeover bid"	0.0674747
buybacks	0.0674019
"aircraft order"	0.0672336
"policy change"	0.067212
"equity fund"	0.0671736
headcount	0.0671525
"investment fund"	0.0664996
"advertising campaign"	0.0663569
outlay	0.0657508
"line of products"	0.0656095
divestiture	0.0654465
"tax hike"	0.0653044
T-bonds	0.0652664
"purchase order"	0.0650571
buyout	0.0650493
"job cut"	0.0645045
"arms industry"	0.0637753
recapitalization	0.0636255
spinoff	0.0634692
spin-off	0.0632253
"budget cut"	0.0629925
"military drill"	0.0629874
"Treasury bond"	0.0624273
"ad campaign"	0.0623257
Demutualization	0.0621953
"pilot program"	0.0620955
"leveraged buyout"	0.0620588
redevelopment	0.0612304
stayaway	0.0608678
"shell game"	0.0606231
revaluation	0.0606181
"libel suit"	0.0603419
megamergers	0.060303
blocking	0.0601994
"marketing effort"	0.0598951
"borrowing cost"	0.0598753
"space walk"	0.0598543
counter-offensive	0.059736
"software product"	0.0596346
"Marshall Plan"	0.0595002
"takeover attempt"	0.0590981
"debt problem"	0.0589326
"tax base"	0.0586495
"incentive program"	0.0585676
Banknote	0.0585397
make-over	0.0584849
payout	0.0583814
"traveler's check"	0.0580903
databank	0.0580358
scrip	0.0579602
refurbishment	0.0576765
"name change"	0.0575691
spacewalks	0.057282
windfall	0.0571905
"home mortgage"	0.056947
"futures contract"	0.0569244
"master plan"	0.0568776
"benefit program"	0.0568181
borrowing	0.0566125
"rate increase"	0.056601
"gas plant"	0.056553
"pay cut"	0.056492
"closed-end fund"	0.0564102
"economies of scale"	0.0563078
"employment report"	0.0560451
"reading program"	0.0558741
reorganization	0.0557359
belt-tightening	0.0554205
"purchase contract"	0.0554007
three-pointers	0.0553005
"quota system"	0.0552818
"Playstation II"	0.055247
"investment trust"	0.055137
roadshow	0.0548659
EPZ	0.054598
"debt payment"	0.0545527
repurchase	0.0544129
"futures market"	0.0542243
"bond market"	0.0541876
"silver dollar"	0.0540987
"communications network"	0.0539278
backlog	0.0538947
"promissory note"	0.0538012
"tax increase"	0.053672
infusion	0.0535474
"surveillance system"	0.053524
"data system"	0.053511
"cost overrun"	0.0534744
"retirement plan"	0.0534247
"stock split"	0.0532386
"compensation package"	0.0531989
linkup	0.0530989
endowment	0.0530891
"bond trader"	0.0528899
"weather satellite"	0.0526551
"Human Genome Project"	0.0525754
"National Missile Defense"	0.052464
"investment portfolio"	0.0524473
privatizations	0.0523934
"rate hike"	0.0522754
"earnings disappointment"	0.0520845
outflow	0.05201
"production ceiling"	0.0519918
"capital expenditure"	0.0519595
"Gorges Project"	0.0519489
payouts	0.0518705
"currency market"	0.0517965
"compact car"	0.051682
"ownership stake"	0.0514787
"pretax charge"	0.051464
"African Union"	0.0514154
"defense budget"	0.0513676
"Mars Climate Orbiter"	0.0513158
"ping-pong ball"	0.0512314
"accounting problem"	0.0510096
"gasoline tax"	0.0509108
"bankruptcy filing"	0.0508778
"junk bond"	0.0508023
"battle plan"	0.0507664
"Action Plan"	0.0506584
nuptials	0.0506022
"budget deficit"	0.0504331
"bank note"	0.0504
"price cut"	0.0503331
"plan of action"	0.0500845
"business unit"	0.0498291
test-firing	0.0498197
"bond price"	0.0498083
"money market"	0.0495194
"municipal bond"	0.0494584
"bank withdrawal"	0.0494437
"market correction"	0.0493424
"lending institution"	0.0492809
"space vehicle"	0.0492148
megaplex	0.0491856
"trust fund"	0.0491616
"Services division"	0.0489306
"rate cut"	0.0489041
receivables	0.0488391
"Free Trade Area"	0.0488019
"brokerage unit"	0.0486094
"trade surplus"	0.0484129
))
("bond price" (desc 6577.26) (sims
"futures price"	0.305668
"blue-chip stock"	0.225441
Stocks	0.225227
"Australian dollar"	0.216722
Nikkei	0.197896
"bond market"	0.19304
"Philippine peso"	0.189871
"oil price"	0.188195
"mortgage rate"	0.187232
"New Zealand dollar"	0.185799
sharemarket	0.180355
"Straits Times Index"	0.174812
"Nikkei Stock Average"	0.161815
"gas price"	0.161214
industrials	0.160026
"home sale"	0.159014
"truck sale"	0.158109
"Dow Jones Industrial Average"	0.158026
"aircraft order"	0.156547
"Commonwealth Bank of Australia"	0.153346
peso	0.150161
yen	0.14829
"stock market"	0.147991
Dow	0.147393
"factory order"	0.14395
"market average"	0.141531
"blue chip"	0.14135
"Hang Seng Index"	0.140549
"Straits Times Industrials Index"	0.139151
"equity market"	0.138885
"Philippine Stock Exchange Index"	0.138866
"unemployment rate"	0.138727
STI	0.136339
rupiah	0.135711
"retail sale"	0.135635
rand	0.13525
"crime rate"	0.132367
soybean	0.132018
"Singapore dollar"	0.131836
"technology issue"	0.131343
blue-chips	0.130369
"retail price"	0.130246
"vehicle sale"	0.130146
"rate of inflation"	0.128879
"interest rate"	0.128115
index	0.12734
yield	0.1267
"Xetra Dax"	0.125641
"Treasury bond"	0.123197
"consumer price index"	0.123103
Nasdaq	0.121992
"occupancy rate"	0.121485
"water table"	0.121332
"consumer demand"	0.120275
"birth rate"	0.120066
"CAC @@"	0.119914
"Wireless Optus"	0.119254
"Industrial Index"	0.119014
BHP	0.118683
"Lion Nathan"	0.117631
"FTSE @@@"	0.116279
"News Corp"	0.116233
"labor cost"	0.114834
"Canadian dollar"	0.114258
"producer price"	0.113917
"Commonwealth Bank"	0.112827
"inflation rate"	0.111584
"blood pressure"	0.110835
Sensex	0.110541
"pork belly"	0.109898
"poverty rate"	0.109731
"Rio Tinto"	0.109413
"export sale"	0.108952
Bourse	0.108921
ANZ	0.108362
CPI	0.10693
"South Korean won"	0.106038
"Hang Seng"	0.105854
joblessness	0.105268
"price index"	0.105031
Composite	0.10468
"borrowing cost"	0.104569
viewership	0.104209
currency	0.103096
"Dow Jones"	0.101967
"Emas Index"	0.101703
unemployment	0.101692
"currency market"	0.101464
"Tokyo Stock Price Index"	0.100679
"Producer Price Index"	0.100555
Westpac	0.100283
"Shanghai Composite Index"	0.099853
"death rate"	0.0996421
DAX	0.0996
"production cost"	0.0993152
"fertility rate"	0.0993138
ruble	0.099083
"exchange rate"	0.0989613
sales	0.0984487
inflation	0.0983936
indicator	0.0983692
baht	0.0982757
"housing sale"	0.0981584
productivity	0.0975465
"funds rate"	0.097482
"British pound"	0.0974578
"investor confidence"	0.0971896
BSE-@@@	0.0965305
"water level"	0.096025
"Composite Index"	0.0955936
"cost of living"	0.0955691
"Kenyan shilling"	0.0945123
sub-index	0.0941342
"vacancy rate"	0.0940152
"trade deficit"	0.0929977
"bank rate"	0.0929973
enrollment	0.0923394
"NASDAQ Composite Index"	0.0918809
"retail price index"	0.0917823
PacCent	0.0910969
HSI	0.0902313
Euro	0.08996
morale	0.0899359
"Second Board Index"	0.0896211
caseloads	0.0876835
"life expectancy"	0.0876447
"Kuwait Stock Exchange"	0.0874164
"market share"	0.0873212
earnings	0.0872961
"mortality rate"	0.0872647
"profit margin"	0.0871091
"heart rate"	0.0869929
indices	0.0869414
ridership	0.0867174
"asset value"	0.086708
"Wall Street"	0.0861044
"operating cost"	0.0860881
"National Australia Bank"	0.0860808
"bond investor"	0.0857878
greenback	0.085549
inventory	0.0849683
SPH	0.0847902
CAC-@@	0.0846706
"body temperature"	0.0846083
"net profit"	0.0844839
"trade surplus"	0.084378
"voter turnout"	0.0842981
"standard of living"	0.0831381
consumption	0.0830269
"share price"	0.0826973
"personal income"	0.0820081
"SPH @@@"	0.0817469
"Sensitive Index"	0.0817217
gauge	0.0812013
scrip	0.0810938
"nearly @@@ points"	0.0806125
pivotals	0.0803336
"crude oil"	0.0793474
"test score"	0.079338
"Karachi Stock Exchange"	0.079056
fertility	0.0789657
"S&AMP;P"	0.0788643
"housing market"	0.0786223
Orders	0.0780612
"selling price"	0.0779659
"Weighted Price Index"	0.0778347
output	0.0772272
FT-SE	0.0771606
"Hang Seng China Enterprises Index"	0.0771121
wheat	0.0764339
"price pressure"	0.0760237
temperature	0.0759075
"tax collection"	0.0756392
crude	0.0745476
"wholesale price index"	0.0742353
Bovespa	0.0737529
wage	0.0735041
rupee	0.0734534
"insurance premium"	0.0732811
"Air New Zealand"	0.0729818
"eight cents"	0.0725264
"Carter Holt Harvey"	0.0714581
"money supply"	0.0710054
palladium	0.0709602
shilling	0.070327
"B share"	0.0701256
"futures market"	0.0699872
"tax revenue"	0.0698238
Telstra	0.0695818
birthrate	0.0695023
"Fletcher Energy"	0.069465
"tax rate"	0.0687442
"preferred shares"	0.0687348
"Creative @@"	0.0686016
"warm front"	0.0685988
corn	0.0684655
"net income"	0.0680345
"gasoline tax"	0.0677196
circulation	0.0676443
"GE Life"	0.0675058
))
("bond rating" (desc 1914.22) (sims
"credit rating"	0.218403
"bank rate"	0.115526
"production ceiling"	0.114576
caseloads	0.102715
"elephant population"	0.0948401
birthrate	0.0920425
"borrowing cost"	0.090634
"birth rate"	0.0873249
"cost structure"	0.0861982
"tax income"	0.0841368
"tax bracket"	0.0839351
"Hurricane Bret"	0.0835443
"key rate"	0.082261
"Official Development Assistance"	0.0791689
"water table"	0.0773192
"fertility rate"	0.0771368
"insurance premium"	0.0758967
"tax base"	0.0756711
threshhold	0.0755454
"Board of Elections"	0.0749491
"gasoline tax"	0.0747636
"poverty rate"	0.0740593
TAXES	0.0730537
"selling price"	0.0729454
"center of gravity"	0.0724941
"marketing cost"	0.0696444
"interest expense"	0.0694988
"investment climate"	0.0691509
"business establishment"	0.0678952
"investment banking"	0.0677573
"operating expenses"	0.0664845
"regular army"	0.0662193
"electric bill"	0.0656714
"tax collection"	0.0656466
"tax rate"	0.0654898
"crime rate"	0.0651222
"highway system"	0.0643561
"vacancy rate"	0.0642556
"body temperature"	0.0641685
"Self-Defense Forces"	0.0638198
"annual payment"	0.063452
"reserve fund"	0.063239
"unemployment rate"	0.0629079
p.r	0.0628733
"discount rate"	0.0627141
"standard of living"	0.0622258
"financial officer"	0.0620142
"growth prospect"	0.0619679
caseload	0.0618684
"trade balance"	0.0617548
"quality of life"	0.06075
Omnicom	0.0606973
forwarding	0.0605283
"Department of Environmental Protection"	0.0600241
"trade barrier"	0.0594859
"blood sugar"	0.059314
Debby	0.0592383
uptrend	0.0590271
"safety standard"	0.0584698
"consumption tax"	0.0584608
"military capability"	0.0584546
"noise level"	0.0583631
"ball club"	0.0583095
leasing	0.0581508
"pay rate"	0.0578674
headcount	0.0570481
"cost of living"	0.0569055
"debt load"	0.0568175
temp	0.0563757
"Multimedia Super Corridor"	0.056256
"incentive plan"	0.0558983
"price support"	0.0558126
"property tax"	0.0551637
a@	0.0551504
"operating cost"	0.0549461
"export sale"	0.054827
"planning board"	0.054602
"air pressure"	0.0544524
"computer operation"	0.0543226
accountancy	0.0541323
"child welfare agency"	0.0539655
"Transport Ministry"	0.0539603
"transportation system"	0.0539491
"bid price"	0.0537557
"Board of Supervisors"	0.0537152
"oil production"	0.053651
"private detective"	0.0536104
"land area"	0.053595
"mortgage rate"	0.0535767
"Shin Bet"	0.0535406
"money order"	0.0533853
"bond price"	0.0532981
"railway system"	0.0532574
"production cost"	0.0531997
"mainframe computer"	0.0531666
"export credit"	0.053156
"occupancy rate"	0.0530207
"tax revenue"	0.0529372
C-section	0.0528779
"debt payment"	0.0525292
"investment trust"	0.0522405
"electronics industry"	0.0521417
"steel production"	0.0520984
"gas price"	0.051725
joblessness	0.0515786
"admission fee"	0.0514176
"admission price"	0.05127
"bond trading"	0.0512362
indebtedness	0.051223
Telecoms	0.0512215
"public defender"	0.0512166
"gross national product"	0.0511826
"financial condition"	0.0509817
"housing market"	0.0509445
"automobile industry"	0.0507259
"rate of exchange"	0.0503325
"blood pressure"	0.0502807
reinsurance	0.0501075
"data system"	0.0497627
"Health and Welfare Ministry"	0.0497419
CSA	0.0496413
"mortality rate"	0.0495518
acidity	0.0494156
"turnover rate"	0.049406
"athletic facility"	0.0492651
"heart rate"	0.0492496
"business relation"	0.0492195
"reading program"	0.0492116
"True North"	0.0490796
"medical examiner"	0.0490687
"weather forecasting"	0.0488336
policymaker	0.0488138
"tax liability"	0.0487655
"Ministry of International Trade and Industry"	0.04874
Fares	0.0486937
"dividend payment"	0.0486609
homocysteine	0.0486307
p/e	0.0486202
"nursing care"	0.0485781
salinity	0.0484155
"asking price"	0.0483154
"dividend yield"	0.0482532
"Defense Agency"	0.048129
"insurance market"	0.0480992
dot.com	0.0480617
"life insurer"	0.0480167
voltage	0.0479662
"power structure"	0.0478837
"defense budget"	0.0476582
aftereffect	0.0475004
"mental health"	0.0474365
"death rate"	0.0473463
hosting	0.0472106
"shipping company"	0.0471929
deductibles	0.047125
"HBO &AMP; Co."	0.0470523
"voting age"	0.0469739
"management fee"	0.0469108
"current account"	0.0468922
"market penetration"	0.0468593
"export quota"	0.0467218
"rate of growth"	0.046716
creditworthiness	0.0466928
ADSL	0.0466433
telemarketing	0.0466228
"abortion law"	0.0465213
"funds rate"	0.0465022
"bond offering"	0.0464887
"labor pool"	0.046399
"purchase price"	0.0463553
"Human Rights Commission"	0.0463028
Truancy	0.0462704
alimony	0.0462141
"political relation"	0.0462032
"sick pay"	0.0461268
"name change"	0.0461054
"market order"	0.0460305
MI@	0.0459402
"body weight"	0.0459005
ferryboat	0.0458917
"Medicare HMO"	0.0456854
T-bonds	0.0456767
"interest payment"	0.0455869
fertility	0.0455337
"capital gains tax"	0.0455123
Sino-Japanese	0.0454667
adhesion	0.0453426
finances	0.045308
"take-home pay"	0.04524
"fiber optics"	0.0451613
"medicare payment"	0.0450811
"civil engineering"	0.0449665
sewerage	0.044732
"five spot"	0.0446752
marketability	0.0445489
"balance of payments"	0.0445433
REALTY	0.0445037
"personnel department"	0.0444711
"population density"	0.0444279
"power grid"	0.0443317
))
("bond trader" (desc 3230.6) (sims
"currency trader"	0.119897
"bond investor"	0.102135
stockbroker	0.0996385
"stock trader"	0.0975772
trader	0.09587
"investment banker"	0.0927784
"market participant"	0.0910548
Litigator	0.0870998
"financial officer"	0.0761334
financier	0.069751
"venture capitalist"	0.069468
"Alberto Tomba"	0.0675225
highflier	0.0669539
"Rick Rockwell"	0.0665358
"Wall Street analyst"	0.0643792
"real estate broker"	0.0630519
"real estate developer"	0.0624918
"interior designer"	0.0617973
"literary agent"	0.0612514
"Eric Cantona"	0.0604805
"market watcher"	0.0603442
freeloader	0.0601064
speculator	0.057909
hotelier	0.0565838
"Congressional Republicans"	0.0560957
cellmate	0.0549929
"air force officer"	0.0547412
lobstermen	0.0546928
"management consultant"	0.054591
kayaker	0.0541239
accountant	0.0540007
"police sergeant"	0.0533931
"bond offering"	0.0528899
miler	0.0528396
bookkeeper	0.0524788
"brokerage firm"	0.0520383
"police lieutenant"	0.0520114
copywriter	0.0519562
"media analyst"	0.0518438
"Jim Florio"	0.0513321
"Mount Sinai Medical Center"	0.0509665
"Mary Slaney"	0.0508069
"real estate agent"	0.0506809
exec	0.0506693
CFO	0.0506394
saleswoman	0.0504268
thespian	0.0500663
"account executive"	0.050031
"Martin Frankel"	0.0494815
bridegroom	0.049434
"Legal Aid Society"	0.0489922
"market maker"	0.0489811
"Stan Collymore"	0.0489648
"Mount Sinai Hospital"	0.0486042
"business executive"	0.0485843
"Mark Tuinei"	0.0484132
"car dealer"	0.0484059
cabby	0.0483769
"trial attorney"	0.0483691
philanthropist	0.0481984
restaurateur	0.0480742
"investment adviser"	0.0480003
"Goldman Sachs &AMP; Co."	0.0478318
"Mario Andretti"	0.0477907
forecaster	0.0475366
"computer programmer"	0.0474524
radiologist	0.0473889
"Plaza Hotel"	0.0472608
"Solomon R. Guggenheim Museum"	0.0471906
"bond price"	0.0470692
"weather forecaster"	0.0469797
paralegal	0.0469278
hairstylist	0.0469217
Profiler	0.046912
"baseball coach"	0.0467833
"investment house"	0.0465837
"Michel Platini"	0.0464718
cabbie	0.0463549
"interior decorator"	0.0462866
horticulturist	0.0462413
preservationists	0.04616
middlemen	0.046063
"BancBoston Robertson Stephens"	0.0459689
"Johan Cruyff"	0.0459534
jurist	0.0457943
oilman	0.0457923
Programmer	0.0457569
tracker	0.0457541
"economic expert"	0.0456577
"disc jockey"	0.0455663
closers	0.0455106
do-it-yourselfers	0.0450384
"top executive"	0.0448571
businesswoman	0.0448246
"senior executive"	0.044786
Arab-Americans	0.0446531
lass	0.0446234
"sports editor"	0.044582
"earnings disappointment"	0.0445678
shipowner	0.0445315
"Paul Gascoigne"	0.0444603
"Donaldson, Lufkin &AMP; Jenrette"	0.0444511
womanizer	0.0444136
"eye doctor"	0.0444081
"social worker"	0.0443394
newspaperman	0.0443393
appraiser	0.0443315
"Emanuel Steward"	0.0443249
"Pennsylvania Station"	0.0442622
"Navy Seal"	0.0442452
policymakers	0.0441899
"Waldorf-Astoria Hotel"	0.0441633
underwriter	0.0441571
sommelier	0.0441171
"music teacher"	0.044091
"investment strategist"	0.0440797
"Film Forum"	0.0439771
"U.S. Treasury Department"	0.0439388
"insurance agent"	0.0438746
"press agent"	0.043834
"aerospace engineer"	0.0436706
"church member"	0.0434889
monger	0.0434851
"Dominique Wilkins"	0.0434845
"Tom Osborne"	0.0434155
forester	0.0433703
"Oliver McCall"	0.0433141
"test pilot"	0.0432237
"art dealer"	0.0432234
"Michael Grant"	0.043079
"corporate executive"	0.0430153
tycoon	0.0428037
"Hidetoshi Nakata"	0.0427524
"decision maker"	0.0427044
landlord	0.0426891
"Lee Nailon"	0.042664
Futurist	0.0425652
"Diego Maradona"	0.0425411
"state senator"	0.042531
"law practice"	0.0424416
"dairy farmer"	0.042398
actuary	0.0423824
major-leaguers	0.0423535
"Dennis Johnson"	0.0422946
technologist	0.0422744
"currency market"	0.0422689
"Clint Reilly"	0.0422583
"Rockefeller University"	0.0422016
watcher	0.0421957
newswoman	0.0420765
"major leaguer"	0.041944
"Texas ranger"	0.0418776
schoolteacher	0.0418401
"plastic surgeon"	0.0418354
Oneidas	0.0418248
"Bob Franks"	0.0418158
"labor leader"	0.041683
Pele	0.0416239
execs	0.0416212
"Clyde Drexler"	0.0416058
"Craig Ludwig"	0.0416003
patrolman	0.0415547
"telecommunications analyst"	0.0415192
"ABN AMRO"	0.0414999
Tsvangirai	0.0414374
Goodman	0.0414258
Pol	0.0413988
bargain-hunting	0.0413388
"house painter"	0.041303
"electrical engineer"	0.0412868
Postmaster	0.0412386
geophysicist	0.0411855
policy-makers	0.0410956
spymaster	0.0410299
chiropractor	0.0409843
"staff sergeant"	0.0409665
VCs	0.0409287
"AIDS activist"	0.0408951
"Hristo Stoichkov"	0.0408856
CPA	0.0408638
"registered nurse"	0.0408329
salesperson	0.0408154
scalpers	0.0408001
dealmaker	0.0407982
woodworker	0.0407833
hotshot	0.040759
"Memorial Sloan-Kettering Cancer Center"	0.0407145
"Mario Lemieux"	0.0406787
"heart surgeon"	0.0405618
"talent agent"	0.0404693
"Lowell Weicker"	0.0403889
"George Soros"	0.040351
"Black Panther"	0.0403442
conservationist	0.0403358
"futures exchange"	0.0403349
census-takers	0.0403338
steelworker	0.04027
"consulting company"	0.0402542
claimer	0.0401387
"Penn Station"	0.0401321
))
("bond trading" (desc 1613.86) (sims
"investment banking"	0.143693
"securities trading"	0.127252
agronomy	0.0987737
arbitrage	0.0861165
"wireless telephone"	0.0800827
reinsurance	0.0797956
B@B	0.0771879
barbell	0.0743311
Telecoms	0.0734626
"junk bond"	0.0724922
dot.com	0.0715101
"consumer credit"	0.0707013
leasing	0.0701492
"data processing"	0.0696735
vending	0.0696169
"tax avoidance"	0.0666413
multilevel	0.0654513
"bond market"	0.0652587
procurement	0.0652018
Trucking	0.065034
"network programming"	0.0641456
midsize	0.0637307
"futures trading"	0.0632308
confectionery	0.0628245
"data communication"	0.0627579
videophone	0.0626878
"garbage collection"	0.0621955
filtering	0.0617296
shipbuilding	0.0603032
"mail order"	0.0601718
triage	0.0599798
"foreign exchange market"	0.0597451
"securities business"	0.0595929
"penny stock"	0.0594336
Gaming	0.0592486
Marconi	0.0592051
abacus	0.0590681
forwarding	0.058936
repurchase	0.0589153
childcare	0.058766
"million Dollar"	0.0586339
"bond issue"	0.0585259
"charge card"	0.0583315
"consumer product"	0.058329
"information service"	0.0578776
videogame	0.0574811
syndication	0.0562975
"back office"	0.0559989
networking	0.0558579
"consumer loan"	0.0557792
combing	0.0550777
asp	0.0550744
"debt market"	0.0546611
"building product"	0.0544305
telemedicine	0.0541167
radiology	0.0538658
"snack food"	0.0538114
buybacks	0.0538
"test equipment"	0.0537984
fallback	0.0536235
"fire control"	0.0534595
stent	0.0534347
telemarketing	0.0533394
barter	0.0529674
booking	0.0528285
contracting	0.0527337
counterterrorism	0.0525313
"garbage disposal"	0.0524671
forklift	0.052338
"tax collection"	0.0522802
retailing	0.0518622
betting	0.0514726
daycare	0.0514578
"bond rating"	0.0512362
"Medicare HMO"	0.0511589
merchandising	0.0509207
multichannel	0.0506978
diagnostics	0.0505153
remittance	0.0503886
"spy satellite"	0.0502864
"steel production"	0.0502835
two-step	0.0501139
mammography	0.0499851
"retail operation"	0.0499801
imaging	0.0497969
Wellness	0.0497619
parquet	0.0491838
"greeting card"	0.0491821
foundering	0.0491028
consultancy	0.049048
"aircraft engine"	0.0488741
"Eastern European"	0.0488153
midrange	0.0487281
ophthalmology	0.0487077
inpatient	0.0484285
"bank card"	0.0484141
"gas well"	0.0479686
bundling	0.0479313
"commercial paper"	0.0477174
authentication	0.0477075
e-business	0.0476061
"Census @@@@"	0.0476044
forecasting	0.0475698
fulfillment	0.0474699
usability	0.0473129
warehousing	0.0472554
"life insurance"	0.0471621
recycling	0.0470028
"housing sale"	0.0469373
"fiber optics"	0.0468816
export-oriented	0.0467567
"cable television"	0.046741
"Sprint PCS"	0.0467185
amplification	0.0466487
triangulation	0.046602
factoring	0.046597
"home sale"	0.0465702
Indexing	0.0465659
ranching	0.0465417
"Passion play"	0.0465212
"life science"	0.0464778
"slush fund"	0.0464658
winnowing	0.0464094
added-value	0.046341
Urology	0.0460885
copier	0.0460239
branding	0.046023
Duracell	0.0459236
six-point	0.0458552
pasteurization	0.045806
"information gathering"	0.0457676
refining	0.0457287
"face saving"	0.0451961
REALTY	0.0451767
"plastic surgery"	0.0451492
"chain store"	0.0449305
"weather forecast"	0.0449168
"construction industry"	0.0448909
"passenger car"	0.0448144
"damage control"	0.0447065
"bankruptcy case"	0.0446568
business-to-business	0.0445864
sewerage	0.0445602
LNG	0.0445487
multimedia	0.0445304
"trading operation"	0.0442606
"electronic warfare"	0.044239
detoxification	0.0442094
"bond fund"	0.0441762
striptease	0.0441396
FOREX	0.0440361
mem	0.0439706
tabulation	0.0437501
five-point	0.0436984
outpatient	0.0436341
"shuttle bus"	0.0436288
reemployment	0.0436163
"interior design"	0.0435074
meteorology	0.0433717
leviathan	0.0432948
DSE	0.0432871
"tax income"	0.0432637
telephony	0.043202
aerospace	0.0431482
sorting	0.042983
aquaculture	0.0429389
"electronics industry"	0.0429246
largess	0.0429104
"tax change"	0.0428569
"consumer electronics"	0.0428008
Microelectronics	0.0427876
"drug sale"	0.042584
wallaby	0.0423829
hedging	0.0423232
biotech	0.0422662
"investment portfolio"	0.0421243
after-hours	0.0420825
"more than one year"	0.0420612
"Weight Watchers"	0.0419901
"military drill"	0.0419797
REIT	0.0419165
"money order"	0.0417249
concierge	0.0415054
shareholding	0.041362
coverup	0.0413611
intranets	0.0413037
"pen pal"	0.0412038
informatics	0.0411954
grading	0.0410921
"export sale"	0.0408432
debenture	0.0407891
"public transit"	0.0407104
third-quarter	0.0406918
"bond offering"	0.0406413
buyback	0.040625
dragnet	0.0406022
collectibles	0.0405843
ICQ	0.0405398
second-quarter	0.04053
"business line"	0.0402627
))
(bondage (desc 6914.13) (sims
slavery	0.11811
oppression	0.0836161
servitude	0.0802903
mutilation	0.0700482
prostitution	0.0657678
serfdom	0.0637405
incest	0.0635508
molestation	0.0614743
"concentration camp"	0.0597948
exploitation	0.0594469
tyranny	0.0586113
masturbation	0.0583685
sadism	0.0582482
"child abuse"	0.0581723
maltreatment	0.057654
maiming	0.0561772
"vicious circle"	0.0558828
captivity	0.0549617
decapitation	0.0539016
enslavement	0.0531258
lynching	0.0528387
confinement	0.0511276
apartheid	0.0503075
coercion	0.049414
shackle	0.0494052
scuba	0.0487737
colonialism	0.0479207
brutality	0.0478986
abduction	0.0462147
pornography	0.0461427
debauchery	0.0454887
misery	0.045316
cruelty	0.045279
"psychiatric hospital"	0.0451907
repression	0.0446902
yoke	0.0429111
subjugation	0.0424568
hostage-taking	0.0415502
persecution	0.0415485
segregation	0.0411581
"vicious cycle"	0.0410834
"drug abuse"	0.0410637
stabbings	0.0408863
bigotry	0.0408173
deprivation	0.0408022
mistreatment	0.0405863
trafficking	0.0404549
))
(Bondevik (desc 899.348) (sims
Guterres	0.181703
Muluzi	0.179351
"de Charette"	0.17773
Azad	0.177359
Stoyanov	0.166873
Vasile	0.165799
Lipponen	0.161765
Dehaene	0.159616
Orban	0.156437
Djukanovic	0.15621
Rodionov	0.155223
Pustovoitenko	0.152198
Moratinos	0.152022
Kok	0.150899
Constantinescu	0.149895
Kasoulides	0.145975
Koirala	0.145404
Deuba	0.144619
Granic	0.143027
Bolger	0.142193
Ikeda	0.139423
Gujral	0.138389
Nujoma	0.137193
Niyazov	0.137187
Chavalit	0.136993
Komura	0.135446
Sumaye	0.134831
Chuan	0.134437
Rifkind	0.133258
Buzek	0.133245
Phieu	0.131768
Karimov	0.1317
Tsvangirai	0.1309
Sahnoun	0.130773
Schuessel	0.129011
Mkapa	0.1281
Ikimi	0.127854
Velayati	0.127189
Shevardnadze	0.126856
"Prime Minister Banharn Silpa-Archa"	0.126516
Luong	0.126093
Erbakan	0.126084
Ogata	0.124115
Ecevit	0.124
"Lokendra Bahadur Chand"	0.123597
Zhirinovsky	0.121814
Amato	0.121813
Aznar	0.119804
Iliescu	0.119739
Kostov	0.119243
Cardoso	0.118957
Bedie	0.11887
Chaudhry	0.118718
Vollebaek	0.117658
Nazarbayev	0.11746
Scalfaro	0.114933
Rau	0.11431
Meciar	0.114232
Nzo	0.1141
Hasina	0.113507
Rakhmonov	0.112799
Brahimi	0.112196
D'Alema	0.111995
Simitis	0.110839
Ruehe	0.109893
"Jerzy Buzek"	0.109346
Nemtsov	0.10895
Menem	0.108881
Shareh	0.108653
Zeroual	0.108631
Alarcon	0.108212
Kumaratunga	0.107655
Jayakumar	0.107308
"De Soto"	0.107056
Cem	0.106911
Pickering	0.106649
Surin	0.106008
Majko	0.105699
Chissano	0.105681
Dodik	0.105262
Shipley	0.10508
Chand	0.104687
Jospin	0.104685
Ben-Ami	0.104533
Wolfensohn	0.104321
Juppe	0.104296
Tian	0.104159
Wahid	0.103005
Bouchard	0.102971
Banzer	0.102431
Prodi	0.101621
Holl	0.10143
Bucaram	0.10058
Camdessus	0.10032
Buyoya	0.100309
Soares	0.100121
Bashir	0.0997078
Meguid	0.0996875
Merkel	0.0996112
Diouf	0.0994134
Herzog	0.0982793
Sampaio	0.0981805
Obuchi	0.0981793
Knievel	0.0981792
Papandreou	0.0981637
Ahtisaari	0.0976863
Dini	0.0972267
Majali	0.0966893
Aliyev	0.0966517
Prueher	0.0965773
Malu	0.0964004
Chiluba	0.0959751
Havelange	0.0959416
Akayev	0.095904
Rua	0.0958188
"Wim Kok"	0.0958061
"Secretary General Esmat Abdul-Meguid"	0.0957879
Klestil	0.0956622
Qiao	0.0956448
Frei	0.0954652
Museveni	0.0953782
Bulatovic	0.0952787
Musharraf	0.095231
Chretien	0.0952235
Benazir	0.0948341
Nano	0.094478
Yilmaz	0.0944088
Fabius	0.094295
"Bill Skate"	0.094228
Yadav	0.0939847
Brundtland	0.093928
Kharrazi	0.093267
Arens	0.0929474
Lari	0.0929089
Ciampi	0.0928508
Khaddam	0.0926434
Hamad	0.0925605
Sergeyev	0.0925475
Axworthy	0.0920164
"Romano Prodi"	0.0919426
Banharn	0.0918837
Masire	0.0918732
Klima	0.0918691
Indyk	0.0917356
Narayanan	0.0915101
"Chavalit Yongchaiyudh"	0.0913274
Tarrin	0.091081
Alatas	0.0910663
Tarawneh	0.0907734
Muoi	0.0899624
Havel	0.0899119
Shaath	0.0898789
Rhee	0.0896638
Pangalos	0.089596
Gadhafi	0.0895008
"John Howard"	0.0892737
Grachev	0.088691
Gaddafi	0.088568
Trudeau	0.088544
Bizimungu	0.0883638
Mori	0.0882209
Klaus	0.0879813
Greco	0.0877809
Fujimori	0.0875554
Gowda	0.0873193
Rabbani	0.0870153
Persson	0.0867854
Ahern	0.0867301
"Ung Huot"	0.0860887
Ghali	0.0860332
Wenger	0.0859227
"Atal Bihari Vajpayee"	0.0859091
Kono	0.0858865
Santer	0.0857345
Modise	0.0856699
Berlusconi	0.0854202
"Yoshiro Mori"	0.0853471
Thapa	0.0852937
Demirel	0.0852796
Abdel-Meguid	0.0852656
Advani	0.0850951
DIMON	0.0850902
Vajpayee	0.084983
Vedrine	0.0849319
"King Abdullah II"	0.0847309
Insulza	0.0847014
Fino	0.0844174
Takeshita	0.0842635
Tudjman	0.0840367
Hariri	0.0839745
Kuchma	0.0839606
Zeman	0.0838731
Aliev	0.0835681
Kan	0.0834956
Goh	0.0828501
Bildt	0.0828413
KPA	0.082811
Berri	0.0826519
Boueiz	0.0826379
Bouteflika	0.0824923
))
(bondholder (desc 3352.7) (sims
depositor	0.169766
creditor	0.144141
policyholder	0.136887
"minority shareholder"	0.113985
lender	0.112167
issuers	0.101162
shareholder	0.100346
borrower	0.100111
claimant	0.0979077
"Paris Club"	0.0959153
stockholder	0.095627
"property owner"	0.0881802
debtor	0.0846806
"pension fund"	0.0830432
whistleblowers	0.0817603
liquidator	0.0778441
pensioner	0.0770664
"Russian bank"	0.0747705
homeowner	0.073205
Luethke	0.0710259
ratepayer	0.0694936
franchisees	0.0668408
landowner	0.0659442
"Wall Street analyst"	0.0643097
"currency trader"	0.0633543
whistle-blowers	0.0623792
"market maker"	0.0618963
"insurance regulator"	0.0616425
"foreign officials"	0.0615387
"coal miner"	0.0609069
Chinese-Indonesians	0.0599821
litigant	0.0597733
landlord	0.0594487
taxpayer	0.0591756
"credit bureau"	0.0582744
plaintiff	0.0579231
"market participant"	0.0574973
"garment worker"	0.0571785
SMG	0.0570738
"financial organization"	0.057026
Eappens	0.0565926
"trust company"	0.0565098
"union member"	0.0564843
speculator	0.0563381
Ecuadoreans	0.054773
underwriter	0.0546962
"Cuban Americans"	0.0539311
resellers	0.0537449
"Bank of Japan Ltd."	0.0532491
"building society"	0.0530604
"Kosovo Serbs"	0.0528178
"London Club"	0.0524706
stakeholder	0.0523031
adoptees	0.0522568
"corporate executive"	0.0519094
licensee	0.0516503
"car dealer"	0.0516305
drugmakers	0.0516297
"small farmer"	0.0515282
retiree	0.0510987
"investment house"	0.0510428
Banks	0.050695
Hawaiians	0.0505231
"policy maker"	0.0501351
panelist	0.0499794
"New York Democrats"	0.0499455
Icahn	0.0496148
Iowan	0.0496053
"real estate agent"	0.0494079
enterpreneurs	0.0493723
racketeer	0.0491609
"investment fund"	0.0491581
"union worker"	0.0488311
"faculty member"	0.0487795
lobstermen	0.0487371
"business executive"	0.0487354
Navajos	0.0486766
"Los Angeles City Council"	0.048623
"investment adviser"	0.0484241
Filipino	0.0483084
hemophiliac	0.0482172
"New Jerseyans"	0.048184
Cyrus	0.0478242
"trust fund"	0.0475078
"parking ticket"	0.0475066
"power company"	0.047481
Californian	0.0474662
machinist	0.0474565
"Cendant Corp."	0.0473682
"business interest"	0.0469469
corporates	0.0468906
"charge card"	0.046807
bottlers	0.046626
Hungarian	0.0466073
Katzenberg	0.0463916
Vermonter	0.0463624
Realtor	0.0462782
"lending institution"	0.0461665
"British people"	0.0461611
Ohioan	0.0461082
OCA	0.045818
petitioner	0.045464
"bond investor"	0.0454299
"Monetary Policy Committee"	0.0453887
Quebecers	0.0451973
"financial officer"	0.0449203
Arab-Americans	0.04472
"bankruptcy filing"	0.0445931
"civic leader"	0.0444507
Gazprom	0.0444272
Japanese-Americans	0.0443851
cabby	0.0440773
Piggie	0.0440196
unionist	0.0439533
"South Carolinian"	0.0437371
caregiver	0.0436053
Afrikaner	0.0434567
subcontractor	0.0434017
Fijian	0.0433459
VICKERS	0.0432464
"top executive"	0.0431931
NSC	0.0431857
Gunmakers	0.0431832
"insurance claim"	0.0431826
Bustamante	0.0431646
"Sumitomo Bank"	0.0431247
Londoner	0.0429987
"Southern Democrats"	0.0428875
"council member"	0.0428487
Ciampi	0.042758
refiner	0.0426651
"Medicare HMOs"	0.0426593
"home buyer"	0.0424766
"Israeli Knesset"	0.0424584
non-Jew	0.0423808
"world organization"	0.0423772
Venezuelan	0.0423665
stockbroker	0.0421831
Chilean	0.0421405
"bank debt"	0.0420715
scalpers	0.0418016
meatpackers	0.041732
"hush money"	0.0417033
"consumer loan"	0.0416181
autoworkers	0.0416178
chipmakers	0.0415663
automakers	0.0415534
Parisian	0.0414028
"oil producer"	0.0413928
DiCarlo	0.0412456
"Congressional Republicans"	0.0410746
rancher	0.0409169
Cayugas	0.0408628
Missourian	0.0408604
Lindner	0.0407286
"gold miner"	0.0407191
theatergoer	0.0407097
restaurateur	0.0406162
"venture capitalist"	0.0406053
"rank and file"	0.0405084
Cambodian	0.040333
Lutheran	0.0403282
Angelenos	0.0402961
"key rate"	0.0402817
concertgoers	0.0400002
))
(bonding (desc 9993.03) (sims
togetherness	0.0783631
healing	0.0766759
cohesion	0.0707864
intimacy	0.0703077
camaraderie	0.0700602
rapport	0.0685073
circumcision	0.0666844
interaction	0.0665678
kinship	0.0624681
reunion	0.062406
closeness	0.0618883
connectedness	0.06052
self-discipline	0.0593243
socializing	0.0571746
teamwork	0.0564794
transformative	0.0564424
reunions	0.0556619
empowerment	0.0537223
give-and-take	0.0535555
friction	0.0534726
"sexual intercourse"	0.0529913
synergy	0.052498
miscommunication	0.0521817
"leisure time"	0.0521126
bargaining	0.0513422
filtering	0.0513223
Chemistry	0.051229
lawmaking	0.0510519
cross-fertilization	0.0508389
trepidation	0.0502257
sharing	0.0501841
maturation	0.050169
networking	0.0499059
"Proposition @"	0.0497167
"problem solving"	0.0495084
"coming together"	0.0490075
interplay	0.0486308
soul-searching	0.0485914
solidarity	0.0482376
Awakening	0.0482094
kissing	0.0480851
deejays	0.0478325
dancing	0.0475403
Romance	0.047507
"difference of opinion"	0.0473165
"information gathering"	0.0472957
courtship	0.0471949
harmony	0.0470397
"hanky panky"	0.0468346
oneness	0.0467413
dysfunction	0.0466675
"sexual activity"	0.0465154
misunderstanding	0.0461965
learning	0.0461189
catharsis	0.0459871
immersion	0.0456094
transcendence	0.0456093
diversification	0.0455702
mating	0.0453765
forwarding	0.0453463
heroism	0.0452821
self-esteem	0.0451821
finger-pointing	0.0451107
"deja vu"	0.0450668
transformation	0.0450586
horseplay	0.0450558
"ill will"	0.0449836
defining	0.0449624
morality	0.0449554
"living together"	0.0448567
unanimity	0.0447472
reconciliation	0.044741
cataclysm	0.0447225
"chemical reaction"	0.0447056
Contraception	0.0446874
altercation	0.0446271
angst	0.0446262
malignancy	0.0446189
separation	0.0444805
Convergence	0.0443706
babysitting	0.044348
self-confidence	0.0442429
"physical therapy"	0.0442341
"civic pride"	0.044142
anxiety	0.0441078
quarrel	0.0439394
enlightenment	0.0438948
absolution	0.0438943
psychotherapy	0.0437302
toughness	0.043718
notification	0.0436672
nudity	0.0436004
empathy	0.0435234
"birth control"	0.0434993
equilibrium	0.0434298
repartee	0.0433547
diversity	0.0433055
continuity	0.0432505
get-togethers	0.0431431
thaw	0.0430955
craziness	0.0430576
jealousy	0.0430297
loyalty	0.0429758
fortitude	0.042938
karma	0.0428173
sadness	0.0426821
introspection	0.0426213
one-on-one	0.0425802
attachment	0.0425133
modeling	0.0425131
lovemaking	0.0423357
"team spirit"	0.0422487
linkage	0.0422079
homework	0.0421759
"good will"	0.0421103
literacy	0.042072
inequality	0.0419573
warfare	0.0419381
zoning	0.0418999
browsing	0.0418764
backsliding	0.0418734
dislocation	0.041792
mobilization	0.0417515
pandemonium	0.0417285
redemption	0.0417215
consolidation	0.0417132
gratification	0.0416576
"get together"	0.0416185
rivalry	0.0415258
schism	0.041469
collaboration	0.0413751
"decision making"	0.0413697
discord	0.0413354
animosity	0.0411637
"free radical"	0.0410912
compassion	0.0410186
humility	0.0409381
exhilaration	0.0409353
spontaneity	0.0409324
forgiveness	0.0406235
mayhem	0.0406047
cruelty	0.0405263
warmth	0.0404651
"collective bargaining"	0.0404199
apocalypse	0.0403837
rift	0.0403152
commotion	0.040277
interdependence	0.0402721
relaxation	0.0402004
atonement	0.0401918
prejudice	0.0401817
resilience	0.040136
rejoicing	0.0400846
disorientation	0.0400774
sparring	0.0400636
patience	0.0400459
))
(bone (desc 84545.6) (sims
fracture	0.174397
skull	0.158045
ligament	0.147117
tissue	0.141457
skeleton	0.14112
skin	0.139028
muscle	0.136796
tendon	0.135074
rib	0.1338
cartilage	0.130407
fossil	0.128263
bruise	0.123777
teeth	0.112144
remains	0.10966
vertebra	0.108351
lung	0.108121
vertebrae	0.106825
liver	0.106489
pelvis	0.105882
sprain	0.104347
nerve	0.103718
Tooth	0.101618
brain	0.0995249
kidney	0.0993762
limb	0.0988039
contusion	0.0972711
wound	0.0958141
ankle	0.0956839
knee	0.0949149
wrist	0.0947784
blood	0.0947026
body	0.0941406
tendinitis	0.0934495
leg	0.0931906
jaw	0.0929097
spine	0.0924115
soreness	0.0914249
fragment	0.0913487
"blood vessel"	0.0903745
collarbone	0.089737
injury	0.0891626
shoulder	0.0887117
elbow	0.0881679
Shell	0.0876268
carcass	0.0874271
neck	0.0873932
tumor	0.0865247
toe	0.0862752
laceration	0.0851054
meat	0.0844943
cell	0.0841115
flesh	0.0839981
piece	0.0826283
hip	0.0824194
stone	0.0818537
"body part"	0.0814815
artifact	0.0803804
heart	0.0802137
"lymph node"	0.0799996
joint	0.0793052
Pottery	0.0792442
fat	0.0786676
hair	0.0778691
object	0.0778137
footprint	0.0778001
breast	0.0777121
DNA	0.0775363
finger	0.0774306
organ	0.0770056
thumb	0.0768899
concussion	0.0766873
"spinal cord"	0.0765763
intestine	0.0757207
glass	0.074958
egg	0.0749234
feces	0.0748515
abdomen	0.0747559
brick	0.0747168
swelling	0.0743047
pain	0.073864
forearm	0.07381
arm	0.0728166
metal	0.0725737
"index finger"	0.0725039
inflammation	0.0722501
specimen	0.0721159
rock	0.0718703
debris	0.0716057
Foot	0.0713603
stomach	0.0702228
relic	0.0696497
"bone marrow"	0.0693741
nose	0.0692126
ailment	0.0688906
wreckage	0.0684042
leaf	0.0682786
infection	0.0682149
vein	0.0681532
numbness	0.0667667
cheekbone	0.0665129
groin	0.066297
arthritis	0.0660905
thigh	0.0656117
material	0.065588
corpse	0.0655543
chest	0.065543
soil	0.065541
strain	0.0650582
wood	0.0648261
eye	0.0647329
specie	0.0646125
artery	0.0644799
pancreas	0.0643909
wall	0.064059
sample	0.063837
tree	0.0637886
animal	0.0636026
Gene	0.0634846
sculpture	0.0634515
tusk	0.0633647
back	0.0631681
statue	0.06308
claw	0.0629509
Coin	0.0628343
ear	0.0627078
Grave	0.0626968
membrane	0.062685
retina	0.0625006
cornea	0.0624299
fish	0.0623966
Embryo	0.0622846
hamstring	0.0620888
fiber	0.0618557
sore	0.0611598
bullet	0.0610428
tomb	0.0609885
Concrete	0.0607612
cancer	0.0607149
"blood clot"	0.0606027
bladder	0.060543
dirt	0.0604768
cloth	0.0602422
"right hand"	0.0602278
tail	0.0602023
bottle	0.0601362
"nervous system"	0.0600576
nail	0.0594831
stem	0.0593681
protein	0.0587435
structure	0.0586623
colon	0.0584911
treasure	0.0582964
virus	0.0582704
scar	0.0580591
fluid	0.057926
plastic	0.0575877
jade	0.0572631
corps	0.0572567
calf	0.0572493
layer	0.0572188
hand	0.0571429
fur	0.057098
feather	0.0566794
deformity	0.0566626
tile	0.0564302
"left hand"	0.0563594
uterus	0.056266
knife	0.0562566
prostate	0.0561312
tube	0.0559365
torso	0.0559356
jewelry	0.0558904
flower	0.055649
tongue	0.0556083
lip	0.0552346
soul	0.0552271
damage	0.0551019
chicken	0.0550887
meteorite	0.0550772
lesion	0.0550328
plate	0.0549905
pipe	0.0546411
surgery	0.0546047
stiffness	0.0544918
problem	0.0544907
ivory	0.0544448
belonging	0.0542366
ovary	0.0541852
gut	0.0541685
stick	0.0541287
bag	0.0540119
"brain cell"	0.0539994
item	0.053799
mouth	0.0537238
painting	0.0536833
cramp	0.0536311
crack	0.0533212
disk	0.0533143
carving	0.0532409
tear	0.0532334
))
("bone marrow" (desc 9439.65) (sims
marrow	0.289007
pancreas	0.255067
kidney	0.204069
liver	0.191065
tissue	0.175231
cornea	0.1532
prostate	0.148909
"brain cell"	0.144684
lung	0.140853
organ	0.138635
"central nervous system"	0.134258
ovary	0.126056
cell	0.123503
intestine	0.112977
"nerve cell"	0.111049
"blood cell"	0.111015
"spinal cord"	0.109775
"lymph node"	0.109578
Embryo	0.107206
esophagus	0.105752
"nervous system"	0.104859
spleen	0.104506
"internal organ"	0.102137
"digestive system"	0.10075
"muscle cell"	0.098881
retina	0.0974683
blood	0.097352
brain	0.0969993
sperm	0.0962573
"prostate gland"	0.0936845
"heart valve"	0.0930954
transplant	0.0925119
thyroid	0.092172
cartilage	0.0906203
"vital organ"	0.0890082
tumor	0.084705
bladder	0.0835007
"umbilical cord"	0.0823191
"blood vessel"	0.0822665
"heart muscle"	0.0817422
colon	0.081357
"white blood cell"	0.0793501
larynx	0.0791285
neuron	0.0786523
T-cells	0.0772982
skin	0.0770035
"digestive tract"	0.0769116
dialysis	0.0767898
"brain stem"	0.0762872
nerve	0.0751479
"blood type"	0.0739153
gland	0.0733731
placenta	0.0713247
udder	0.0707689
"coronary artery"	0.070745
"cancer cell"	0.0697089
Chemo	0.0696283
semen	0.069516
bone	0.0693741
saliva	0.0686653
gallbladder	0.0686652
breast	0.0686124
fetus	0.067411
cervix	0.0669148
hippocampus	0.0665425
urine	0.0663398
sinew	0.0653359
cadaver	0.065245
"large intestine"	0.0651881
chemotherapy	0.0634187
transfusion	0.0629786
uterus	0.0626183
platelet	0.0622679
"connective tissue"	0.0615128
muscle	0.0614107
melanoma	0.0608763
penis	0.0608394
plasma	0.0605069
lining	0.059578
cortex	0.0595285
stomach	0.0583825
"red blood cell"	0.0583822
Gene	0.0581909
vein	0.0579704
"hair follicle"	0.0572497
ultrasound	0.0571899
egg	0.0568852
leukemia	0.0567236
"embryonic cell"	0.0563334
testicle	0.0561129
transplantation	0.0560412
bowel	0.0559657
membrane	0.0556954
abdomen	0.0555441
"body fluid"	0.0544115
bloodstream	0.0541898
spine	0.0541621
islet	0.0525608
rectum	0.0525607
DNA	0.0525524
mice	0.0523586
Herceptin	0.0523331
"body part"	0.0512445
"human body"	0.0507134
"circulatory system"	0.0505701
antibody	0.0505457
graft	0.0501204
radiotherapy	0.0488476
artery	0.048792
"skin cell"	0.0484875
"artificial heart"	0.0479426
organism	0.0479314
follicle	0.0476482
"positive feedback"	0.0476226
valve	0.0475252
ligament	0.0462791
"vocal cord"	0.0462218
enzyme	0.0461528
"test tube"	0.0459787
interferon	0.0456989
"one million yuan"	0.0455236
hormone	0.0454454
clotting	0.0452673
eyesight	0.0452443
baboon	0.0451918
hepatitis	0.0448106
polygraph	0.0446469
"liver disease"	0.0445336
Botox	0.0443373
airway	0.0440728
lymphoma	0.0438195
methadone	0.0430574
estrogen	0.0430446
"blood transfusion"	0.0429284
protein	0.0428552
fertility	0.0428279
tendon	0.0427789
fluid	0.0424165
lifesaving	0.0424103
feces	0.0423472
serum	0.0419654
antibiotic	0.0417928
mastectomy	0.0413447
"three million yuan"	0.0413139
duct	0.0411402
pacemaker	0.0410732
gyro	0.0410438
Vaccine	0.041031
limb	0.0402616
"kidney stone"	0.0401661
cattle	0.0401602
inpatient	0.040098
))
(bones (desc 3864.57) (sims
Puzo	0.0508041
Blackman	0.0477513
stalker	0.0449503
"woman's body"	0.0448319
"lower jaw"	0.0443994
"pie shell"	0.0437179
flan	0.0421951
Riady	0.0421301
Menuhin	0.0419902
rickey	0.0418623
Ghani	0.0414898
"internal organ"	0.0413103
dowager	0.0409469
))
(bonfire (desc 18215.2) (sims
stack	0.0696871
campfire	0.0666604
blaze	0.0665738
scaffolding	0.0660074
firework	0.0651073
celebration	0.0631709
"brush fire"	0.0614346
pyramid	0.0614052
parade	0.0598873
"forest fire"	0.0593578
Tower	0.0592165
candle	0.0584858
wildfire	0.0582712
memorial	0.0582477
fraternity	0.0575635
"Ferris wheel"	0.0567194
fireplace	0.0566665
menorah	0.0565839
scaffold	0.0553056
conflagration	0.0531829
flame	0.0529563
"trash can"	0.052032
"apartment building"	0.0519216
dam	0.0513121
bash	0.0513066
fireball	0.0512385
reactor	0.0508775
lantern	0.050806
concert	0.0507509
Carnival	0.0503699
Dome	0.0502558
"water project"	0.0502075
"Gorges Dam"	0.0500183
edifice	0.0497521
gala	0.049255
demonstration	0.049011
"football stadium"	0.0488931
dike	0.0488326
gathering	0.0487512
kiln	0.0485023
effigy	0.0484667
hut	0.0483661
inferno	0.0483222
flyover	0.0482445
festivity	0.0481718
footbridge	0.0478152
feast	0.0474923
"power plant"	0.0474469
fountain	0.0473761
crosse	0.0472183
explosion	0.0471937
monument	0.0470163
"trash bin"	0.0470088
levee	0.0467803
pageant	0.0467289
"nuclear reactor"	0.0467218
tunnel	0.0464332
tent	0.0463023
cookout	0.0462878
embankment	0.046156
"cable car"	0.0460287
vigil	0.0457488
barbecue	0.045557
dinner	0.0451103
barricade	0.0448785
torch	0.0448644
garden	0.0447939
fence	0.0442747
firecracker	0.044268
skyscraper	0.0438774
furnace	0.043868
cauldron	0.0437479
"video screen"	0.0437001
incinerator	0.0436882
megaplexes	0.0436302
dorm	0.0435185
"roller coaster"	0.0434227
banquet	0.0433616
Crane	0.0432306
burial	0.0432049
mosque	0.0430953
Quake	0.0430713
wedding	0.0427008
rioting	0.0424097
"Gorges Project"	0.0423487
high-rise	0.0422346
riot	0.0422289
ember	0.0420877
overpass	0.0417527
telescope	0.0416496
"Berlin Wall"	0.0413333
"fish fry"	0.0412832
picnic	0.0412524
statue	0.041239
reunion	0.0411999
"theme park"	0.0410098
"rock concert"	0.0409481
shack	0.0409364
"power station"	0.0409253
pier	0.0408955
tornado	0.0408047
barn	0.0404594
"football season"	0.0404049
"apartment house"	0.0403595
crater	0.0403472
dwelling	0.0402845
revelry	0.040268
gondola	0.040261
"bomb blast"	0.0401595
antenna	0.0401121
airship	0.0401082
sculpture	0.0400724
))
(Bongo (desc 2570.64) (sims
Stoyanov	0.142836
Akayev	0.131168
Nujoma	0.130194
Conte	0.120759
harpsichord	0.119357
Klestil	0.119136
Chissano	0.109653
Kumaratunga	0.107256
Mkapa	0.10251
Niyazov	0.102417
Karimov	0.100768
Diouf	0.100701
Tabla	0.0995424
Ruehe	0.0991125
Luong	0.0979667
Muluzi	0.0972353
Rawlings	0.0959293
Narayanan	0.0951371
Constantinescu	0.0917329
Klima	0.0915521
Kwasniewski	0.0915252
Ahtisaari	0.0912538
Kok	0.0910389
Guterres	0.090552
Tudjman	0.0902906
Nazarbayev	0.0900719
Cardoso	0.0898792
Buyoya	0.0895576
Leghari	0.0893272
Chiluba	0.0883173
Frei	0.088081
Masire	0.0880567
Rakhmonov	0.0873171
Boueiz	0.0870907
Rabbani	0.0857245
Shevardnadze	0.084995
Kodikian	0.0845153
Mikhailov	0.0834675
Phieu	0.083454
Bedie	0.0834175
Rodionov	0.083134
Ghali	0.0824491
bagpipe	0.0821683
Lukashenko	0.0820906
Preval	0.0819219
Lipponen	0.0813172
Menem	0.0811675
Vieira	0.0811553
"French horn"	0.0805678
Demirel	0.0798958
mandolin	0.0798877
Kasoulides	0.0793924
Buthelezi	0.0788276
Deuba	0.0787069
"Kim Yong Nam"	0.0782463
trombone	0.0781377
oboe	0.0774203
Boutros-Ghali	0.0770818
harmonica	0.0767176
Samper	0.0758519
Clerides	0.0752112
Havelange	0.0748988
Insulza	0.0746589
"de Charette"	0.0745741
Granic	0.0744059
Ikimi	0.0743361
lute	0.0742976
cowbell	0.0740635
Nzo	0.0739636
Obasanjo	0.0738548
Goh	0.0737494
Rifkind	0.0734926
Soeharto	0.0733927
"Dos Santos"	0.0732131
saxophone	0.0731643
Vasile	0.0730291
"Prime Minister Banharn Silpa-Archa"	0.0728266
Aleman	0.0726905
Dodik	0.0724265
Bizimungu	0.0724129
Benex	0.0723803
tuba	0.0722615
Donohue	0.0720994
"De Soto"	0.0713304
Mugabe	0.0712278
Aznar	0.071044
Haouari	0.0709089
Ciampi	0.0708272
Museveni	0.0706756
Banharn	0.0705279
Azad	0.0704643
Zuma	0.0704521
Herzog	0.0704098
Bhutto	0.0704024
Kato	0.0703914
Sampaio	0.0703909
"Maung Aye"	0.0703542
"Carlos Salinas"	0.0701679
LeBlanc	0.0686597
Siazon	0.0684891
Juncker	0.0684742
Hersh	0.0684238
Sharma	0.0683643
"De Klerk"	0.0682482
Rafsanjani	0.068165
clarinet	0.0681083
"King Abdullah II"	0.0678482
samba	0.06784
"acoustic guitar"	0.0677089
Xiong	0.0675057
Lazarenko	0.0673857
"Phenix City"	0.067346
Amour	0.0672438
Jovanovic	0.0672184
"Lee Hsien Loong"	0.067013
Borodin	0.0669322
Kaunda	0.0665865
Brundtland	0.0665745
Abdel-Meguid	0.0663757
Weizman	0.0663186
Carrera	0.0662454
Mbeki	0.0660944
Qiao	0.0660313
Murayama	0.0659854
Denktash	0.0657517
Velayati	0.0655405
Komura	0.0654529
Berisha	0.0654459
Meles	0.0654444
"Than Shwe"	0.0653295
Zeroual	0.0652253
Gowda	0.0651674
Portillo	0.0651095
Seleznyov	0.065049
Wolfensohn	0.0649905
Zeng	0.0648649
Fujimori	0.0647847
Tian	0.0647642
Camdessus	0.064579
Kuchma	0.0644814
"Jacques Santer"	0.0642145
Talbott	0.0640588
Scalfaro	0.063926
Koirala	0.0638554
Patasse	0.0637969
Aliyev	0.0637245
Nikitin	0.0635972
"Joao Havelange"	0.0635179
"Goran Persson"	0.0634933
Marcos	0.0634609
Scharping	0.0633717
Menchu	0.0633467
"Chea Sim"	0.0632125
Ekeus	0.0631313
Moratinos	0.0630952
Gormley	0.0630376
Saleh	0.0630195
Gaddafi	0.0630134
"Antonio Guterres"	0.0626524
"Wim Kok"	0.0624726
Ciller	0.0623615
Brittan	0.062237
Bhattarai	0.0620853
Sebaggala	0.0620459
Mobutu	0.0619105
Bolger	0.0618103
"Kim Jong Il"	0.0618021
Bakaly	0.0617205
Pustovoitenko	0.0614821
Ramos	0.0612899
Izetbegovic	0.0612129
Ahern	0.0611222
Caldera	0.0611128
Mercado	0.0610227
Eyadema	0.0609733
Nasrallah	0.0609696
Sumaye	0.0606625
Lissouba	0.0606347
Santer	0.0606239
"Fernando Henrique Cardoso"	0.0605915
Muoi	0.0604685
Surin	0.0604503
Pangalos	0.0601554
Klerk	0.0600658
Shareh	0.0597823
Fernandes	0.0597463
Garang	0.0595538
Salinas	0.0594209
Gurirab	0.0593952
"Tom Welch"	0.0593769
"Sonia Gandhi"	0.0592838
"Secretary General Esmat Abdel-Meguid"	0.059279
Ouattara	0.0592653
Sax	0.0592532
Waigel	0.059114
Stroyev	0.0589299
Wiseman	0.0589059
Blatter	0.0588293
Ershad	0.0584882
Bouteflika	0.0583715
))
(bonhomie (desc 1338.59) (sims
comity	0.102201
altruism	0.0819506
unreality	0.079289
cordiality	0.0735509
condescension	0.072777
bipartisanship	0.072365
friendliness	0.0715862
self-sacrifice	0.066081
whimsy	0.06488
fuzziness	0.0646667
"Lahore Declaration"	0.0631315
exhilaration	0.062476
"Commission on Presidential Debates"	0.0607705
self-awareness	0.0595892
camaraderie	0.0574106
inclusiveness	0.0573313
"civic pride"	0.0568351
togetherness	0.0566712
bewilderment	0.0560204
contrition	0.0559808
unanimity	0.0557041
decorum	0.0553195
refinement	0.0551726
elation	0.054825
foreboding	0.0542887
urbanity	0.0536518
catharsis	0.0535094
playfulness	0.0532802
nonchalance	0.0531022
"compromise plan"	0.0524223
exuberance	0.0523852
nihilism	0.0519728
theatricality	0.0519356
give-and-take	0.0518438
"Lei Feng"	0.0518048
introspection	0.0517478
graciousness	0.0517275
levity	0.0513012
rapture	0.0511161
"sex appeal"	0.0510663
idealism	0.0508077
Wanderlust	0.0501332
Legos	0.049904
repose	0.049898
civility	0.0498727
naivete	0.0495733
defensiveness	0.0495407
cockiness	0.0495096
exasperation	0.0490429
liberalism	0.0489593
hipness	0.0488177
ebullience	0.048514
selflessness	0.0485039
earnestness	0.0482484
zealotry	0.0482296
coolness	0.048011
"good humor"	0.0480093
bleakness	0.0479965
nastiness	0.0479258
erudition	0.0479095
Checo	0.0477379
wholeness	0.0470794
piety	0.0469112
tact	0.0468666
humanitarianism	0.0466206
heroism	0.0460351
blandness	0.0458742
adoration	0.0456779
caramel	0.0456303
pomp	0.0454196
"Sino-Japanese Joint Statement"	0.0453905
sentimentality	0.0450777
collegiality	0.0450679
irreverence	0.0445991
self-promotion	0.0443957
magnificence	0.0443142
humanism	0.0442441
gallantry	0.0441442
contentment	0.0441171
frugality	0.0439989
sexiness	0.0439528
"Underground Railroad"	0.0438429
benevolence	0.0435971
giddiness	0.043235
bravado	0.0429783
traditionalism	0.0429726
hyperbole	0.0429222
hubris	0.0427277
acrimony	0.0426971
ancients	0.0424552
Romanticism	0.0422592
poignancy	0.042183
invincibility	0.0421793
felicitation	0.0419669
opulence	0.0418311
DECADENCE	0.041261
showmanship	0.0412193
Airness	0.0410688
astonishment	0.0410552
conciliation	0.0408135
Scotty	0.040802
populism	0.0404169
"deja vu"	0.0404045
))
(Bonilla (desc 8083.23) (sims
"Bobby Bonilla"	0.205583
Hundley	0.183574
"Todd Hundley"	0.168881
Baerga	0.161244
Grudzielanek	0.15039
Mondesi	0.146003
Huskey	0.140686
Olerud	0.140033
Karros	0.139357
Caminiti	0.139068
"Eric Karros"	0.136013
Zeile	0.132177
Cedeno	0.1317
Gilkey	0.131649
Knoblauch	0.126278
Surhoff	0.124931
Segui	0.124756
Glaus	0.124754
"Raul Mondesi"	0.12455
Beltre	0.124199
Alfonzo	0.124116
"Adrian Beltre"	0.122573
Ordonez	0.121813
Cirillo	0.12152
Gant	0.120982
Klesko	0.120729
Ripken	0.119733
"Gary Sheffield"	0.119731
"Eric Young"	0.119213
Piazza	0.11903
Alou	0.118328
"Devon White"	0.117795
Brogna	0.116802
McRae	0.116041
Valentin	0.115272
Rolen	0.113824
Dunston	0.113736
Largent	0.111345
Hollandsworth	0.11008
"Shawn Green"	0.110029
Moakley	0.109765
Gwynn	0.109745
Lieberthal	0.108406
"Matt Franco"	0.10828
Buhner	0.108238
"Butch Huskey"	0.108041
Canseco	0.10797
"Robin Ventura"	0.107929
Erstad	0.107405
Castilla	0.106656
"Mike Piazza"	0.106087
Cummings	0.10604
Brosius	0.105227
Palmeiro	0.105016
Gutierrez	0.104508
Renteria	0.10367
Waxman	0.103627
Cora	0.103434
Fryman	0.103286
Gooden	0.103137
Alomar	0.102398
Counsell	0.101514
Galarraga	0.101233
Beltran	0.10117
Wohlers	0.100971
McInnis	0.100791
Bordick	0.100508
Ledee	0.100397
McLemore	0.100378
"Ron Gant"	0.100311
"Edgardo Alfonzo"	0.100305
"Mark Grudzielanek"	0.0998842
Burks	0.0997645
Catalanotto	0.0993264
Konerko	0.0992017
Daubach	0.0985998
"Darryl Hamilton"	0.098036
Laudrup	0.0975947
Cordero	0.0974489
Guillen	0.0972713
McKeon	0.0969597
grieve	0.0968901
"Dave Hansen"	0.0968567
Vidro	0.0968565
Bagwell	0.0964893
Mora	0.0959875
Elster	0.0958094
Biggio	0.0954461
Womack	0.0951942
DiSarcina	0.0950509
Vizcaino	0.0949375
Gonzalez	0.094828
Nomo	0.0947184
Leyritz	0.0944561
Napolitano	0.0940994
Garciaparra	0.0940766
Leiter	0.0939818
"Benny Agbayani"	0.0938642
Burnitz	0.0933997
Griffey	0.0931248
Nadler	0.0929867
Lankford	0.0928741
Danner	0.0927946
Bergeron	0.0927792
Henderson	0.0927467
Martinez	0.0927299
Abreu	0.0923533
Vaughn	0.092329
Weldon	0.0918287
Lofton	0.0918268
DeShields	0.0917705
"John Valentin"	0.091725
Graziani	0.0916855
"Mark Loretta"	0.0915424
Hershiser	0.0913246
Dreifort	0.0907407
"Scott Brosius"	0.0906807
"Rickey Henderson"	0.0905271
Posada	0.0903796
Veras	0.0903425
Meares	0.090073
Nevin	0.0899094
Varitek	0.0896053
Franco	0.0895244
"Todd Zeile"	0.0895226
"Ken Caminiti"	0.0894684
Sheffield	0.0890509
Helton	0.0890025
Agbayani	0.0887638
Delgado	0.0886869
"Chuck Knoblauch"	0.0885529
Everett	0.0883529
"Jose Vizcaino"	0.0882031
Lindros	0.0881834
Mercker	0.0881682
Sexson	0.0879288
"John Olerud"	0.0875226
Bure	0.0868395
Rodriguez	0.086758
"Lenny Harris"	0.0863986
Andreychuk	0.0863817
Velarde	0.0860923
McMichael	0.0858767
Hardaway	0.0855684
Sosa	0.0855601
Santangelo	0.0854337
Larkin	0.0852783
Bichette	0.0852689
Ramirez	0.0851678
Delahunt	0.0850409
O'Neill	0.0850115
Sprague	0.0847969
Dixon	0.084768
Pippen	0.0847522
Edmonds	0.0843493
DeBerg	0.0843478
"Matt Luke"	0.083985
"J.T Snow"	0.0836403
Kapler	0.0836203
"Roger Cedeno"	0.0835469
McGriff	0.0834852
Ortiz	0.0833086
Ceballos	0.0830989
Doggett	0.0829513
Northup	0.082629
Brunell	0.0823214
Ventura	0.0822804
"Troy Glaus"	0.0820509
Audette	0.0820475
"Russ Davis"	0.081971
"Bill Spiers"	0.0819343
Baines	0.081832
Canady	0.0817737
Merloni	0.0816395
"Carlos Baerga"	0.0816379
McCollum	0.0816341
Bliley	0.0814481
Laperriere	0.0813142
Armey	0.0811671
"Paul Konerko"	0.0810895
"Darin Erstad"	0.0810696
"Todd Hollandsworth"	0.0809633
Fernandez	0.0806968
"Brian McRae"	0.0806682
Metcalf	0.0803167
Capps	0.0802066
belle	0.0801491
"Bobby Abreu"	0.0801284
Valdes	0.0800223
Hobson	0.0799834
Tejada	0.079982
Bragg	0.0798316
Jagr	0.0798041
valentine	0.0796534
"Dante Bichette"	0.0795758
"Ron Coomer"	0.0792286
"Kevin Elster"	0.079093
Schourek	0.0790684
Saberhagen	0.0790341
"Vladimir Guerrero"	0.0789767
))
(Bonn (desc 33243.6) (sims
BRUSSELS	0.249142
Berlin	0.201977
Vienna	0.193916
Moscow	0.192825
Geneva	0.191558
Helsinki	0.191493
CAIRO	0.184057
Riyadh	0.178289
ANKARA	0.176056
Madrid	0.175467
Tehran	0.175279
Rome	0.16972
Paris	0.168042
STOCKHOLM	0.167337
Islamabad	0.166358
LISBON	0.166283
BUCHAREST	0.165344
KIEV	0.162187
Pretoria	0.160805
LONDON	0.156959
SEOUL	0.156734
ATHENS	0.156615
Canberra	0.15654
Prague	0.155728
Tokyo	0.155178
WARSAW	0.154912
Damascus	0.153613
"New Delhi"	0.153372
BELGRADE	0.151088
Beirut	0.150604
JOHANNESBURG	0.148681
HARARE	0.146848
Munich	0.146165
MAPUTO	0.145359
"Addis Ababa"	0.144834
Frankfurt	0.144754
Manila	0.144119
"Abu Dhabi"	0.143534
Amman	0.142768
"Kuala Lumpur"	0.141854
ZAGREB	0.140759
"Tel Aviv"	0.140416
Nairobi	0.138873
Lusaka	0.137854
Havana	0.137757
Dublin	0.136448
BEIJING	0.136413
Luanda	0.136303
BUDAPEST	0.135562
Bangkok	0.1355
Ottawa	0.135055
Washington	0.134861
TIRANA	0.134182
SOFIA	0.133851
HANOI	0.132943
Tripoli	0.132913
Baghdad	0.132859
Duesseldorf	0.132833
Belfast	0.131555
BRASILIA	0.131252
Jakarta	0.131147
Abuja	0.129414
"Mexico City"	0.125924
Algiers	0.125828
Santiago	0.125817
Oslo	0.125192
PYONGYANG	0.124921
Zurich	0.123668
Rabat	0.123498
"Cape Town"	0.123468
Lagos	0.123126
MANAMA	0.1222
Khartoum	0.121858
Hamburg	0.121632
Amsterdam	0.11999
Windhoek	0.119706
"Buenos Aires"	0.11943
Cologne	0.119284
Istanbul	0.119134
Doha	0.118924
Lausanne	0.118729
Lome	0.118637
NICOSIA	0.118589
KAMPALA	0.118478
DHAKA	0.117714
Gaborone	0.117672
CARACAS	0.116301
Sarajevo	0.116133
Minsk	0.115217
Asmara	0.115012
COLOMBO	0.114815
Luxembourg	0.113274
Accra	0.112824
Gaza	0.112329
"Rio de Janeiro"	0.112305
"Phnom Penh"	0.111553
Kigali	0.110901
"Dar es Salaam"	0.109319
TUNIS	0.108819
Baku	0.108196
BOGOTA	0.107467
Durban	0.106936
Tashkent	0.106547
Yaounde	0.10642
Stuttgart	0.105174
Tbilisi	0.104972
Copenhagen	0.104323
Davos	0.104291
JERUSALEM	0.104073
Jeddah	0.103439
Arusha	0.102912
Dushanbe	0.102017
Strasbourg	0.0997248
Skopje	0.0995547
Cartagena	0.0994342
Ramallah	0.0980808
"Ulan Bator"	0.0977279
Kandahar	0.0976392
YANGON	0.0975285
Kathmandu	0.0971953
Vientiane	0.0971637
MONTEVIDEO	0.0971454
SANAA	0.0958136
Monrovia	0.0958016
PALERMO	0.0954692
Managua	0.0943905
Singapore	0.0938606
Kinshasa	0.0937592
Teheran	0.0935638
"KUWAIT CITY"	0.0932118
Dresden	0.0925971
Hanover	0.0924989
"The Hague"	0.0922545
Kyoto	0.0918346
Pristina	0.0913108
Quito	0.0911678
Shanghai	0.0910872
Edinburgh	0.0910101
Libya	0.0909853
"New York"	0.0909478
Vilnius	0.0891163
Bahrain	0.0887237
Milan	0.0882984
Turin	0.0878247
Bern	0.0860413
Wellington	0.086009
Florence	0.0854621
Lima	0.085287
Maseru	0.0850978
Kuwait	0.0848808
Leipzig	0.0847384
Abidjan	0.0846815
Muscat	0.084569
"St. Petersburg"	0.08402
"Panama City"	0.0839773
"Hong Kong"	0.0839442
Qatar	0.0839252
Freetown	0.0836635
MELBOURNE	0.0834259
Salzburg	0.083167
"ALMA ATA"	0.0830538
"Banja Luka"	0.0830439
Birmingham	0.0821378
Berne	0.0820795
Kabul	0.0819222
RAMBOUILLET	0.0818217
Dusseldorf	0.0811396
Kremlin	0.0811332
Bremen	0.0808025
Nuremberg	0.0803943
Egypt	0.0801946
Germany	0.0800939
Bishkek	0.0799163
Lahore	0.0798506
"San Jose"	0.0795708
"Downing Street"	0.0793654
Taipei	0.0788645
Naples	0.0784813
Macedonia	0.0779797
"Egyptian capital"	0.0779132
DUBAI	0.0777649
BRATISLAVA	0.0775751
Dakar	0.0774227
TEGUCIGALPA	0.0771664
Osaka	0.0770436
Karlsruhe	0.076952
Mbabane	0.0766829
"SANTAFE DE BOGOTA"	0.0765027
"Gaza City"	0.0762838
"Los Angeles"	0.0761743
"Saudi Arabia"	0.0760109
Oman	0.075651
Auckland	0.0755035
Mogadishu	0.0750812
Pakistan	0.0749933
Brunei	0.0744308
Riga	0.0743078
capital	0.0740661
Barcelona	0.0735342
Bujumbura	0.0728287
))
(Bonnard (desc 2174.63) (sims
Gauguin	0.310047
Chagall	0.262686
Matisse	0.241806
Modigliani	0.230085
Renoir	0.227252
Gogh	0.220844
Kandinsky	0.217257
"van Gogh"	0.214041
Manet	0.210735
Cezanne	0.202887
Klee	0.200797
Rothko	0.197737
Degas	0.197465
Monet	0.174699
Delacroix	0.169827
Mondrian	0.167261
miro	0.164554
Picasso	0.163171
Kooning	0.158872
Warhol	0.15101
Dali	0.114791
"Jackson Pollock"	0.114593
Pollock	0.109718
Giacometti	0.108715
Vermeer	0.108343
Leger	0.107769
Rembrandt	0.103729
Calder	0.103594
Ofili	0.10303
Heade	0.101226
Sargent	0.095962
Ingres	0.0918809
Kusama	0.0905101
"Man Ray"	0.0901317
Kinkade	0.0857719
Duchamp	0.0848215
"Norman Rockwell"	0.0829761
cubism	0.074308
Ernst	0.0703383
DMA	0.0685318
Goya	0.0617372
Rauschenberg	0.0608127
Rockwell	0.0581259
Chappell	0.0568904
Eames	0.0561194
"David Smith"	0.0556863
Neel	0.0552754
Rodin	0.0548673
Picassos	0.0546207
"Andy Warhol"	0.054307
Freud	0.0540753
Lichtenstein	0.0529119
Chardin	0.0512334
"Claude Monet"	0.0509207
Michelangelo	0.0508904
"Van Dyck"	0.0502247
Bosch	0.0501708
"Allan Donald"	0.0486425
Parrish	0.0485469
Joyce	0.0477718
Lowry	0.0467932
Opry	0.0467356
"Giorgio Armani"	0.046523
Rowe	0.0460239
Dior	0.0455814
"Jasper Johns"	0.0448585
"Jonty Rhodes"	0.0445026
Sondheim	0.0435777
Macworld	0.0422223
Pyle	0.0421808
Impressionist	0.0415457
Cartier	0.0411157
Impressionism	0.0410468
Holley	0.0410463
ISSEL	0.0406899
Bassett	0.0406542
Moma	0.0403743
Caravaggio	0.0401254
))
(Bonner (desc 1849.09) (sims
Lamberth	0.154793
Teresi	0.129928
Korman	0.121925
McCown	0.120912
Reimer	0.117221
Nickerson	0.117041
Ruehe	0.115196
Advani	0.112683
hodgson	0.11223
Brunell	0.11067
McKenna	0.109138
Azizah	0.106004
Edelstein	0.105323
Ikeda	0.104308
Padilla	0.1043
Condit	0.104294
Folsom	0.104273
Aventajado	0.104239
Indyk	0.104131
Flanagan	0.103324
Gosper	0.102621
Wolfson	0.10227
Jobe	0.100302
Berenson	0.0994236
Outzen	0.0978959
Finkel	0.097893
Sheehan	0.096501
Grasso	0.0962542
Brees	0.0959815
Harbaugh	0.0956164
Zucker	0.0955774
Ruthardt	0.0952281
Lowery	0.094524
Kasoulides	0.0941859
Tsang	0.0941188
Kumar	0.0937166
Mendez	0.0930113
Beazley	0.0929199
Garcetti	0.0928171
Ruggiero	0.0927046
beamer	0.0926127
Prewitt	0.0921026
Fleischer	0.0920554
DeBerg	0.0920264
Brazill	0.0919696
Grbac	0.0913585
Alatas	0.091355
Sherrill	0.0909235
Shayler	0.0907991
Nasrin	0.0906807
Manley	0.0903419
Soyinka	0.0902879
Houghton	0.0901494
Hasselbeck	0.0898001
Swenson	0.0897719
Gullit	0.089727
Milbury	0.0896852
Walser	0.0896553
Chadwick	0.0895467
Caddell	0.0893041
Gullikson	0.0892763
Applewhite	0.0887787
SJC	0.088775
Schaefer	0.0884909
Cooley	0.0884618
LaPierre	0.0882621
Lafleur	0.0882078
Sassa	0.088178
Kharrazi	0.0877923
Liao	0.0877889
Paxon	0.0877704
Kaye	0.0876369
Singson	0.0873754
Abernathy	0.0867644
Rodionov	0.0865613
Marinovich	0.086403
Imperatori	0.0863998
Insulza	0.086331
Akbar	0.0863203
Nasrallah	0.0862494
Hauser	0.0860784
Farber	0.0859801
Haskins	0.0859011
Klima	0.085758
Schuessel	0.0856925
Rosenthal	0.0856769
Siazon	0.0853882
Mokhehle	0.0852952
Hybl	0.0852886
Sarsour	0.0850187
DeFrantz	0.084802
Clements	0.0845887
Burleigh	0.0839172
Grachev	0.0838563
Goossen	0.0833315
Lamont	0.0830648
Patel	0.0830273
Bettman	0.0827942
Maddox	0.0827886
Kyprianou	0.0827698
Hensley	0.0824606
Rubinstein	0.0824573
Hamill	0.0821702
Galindo	0.0820164
"Patsy Ramsey"	0.0818593
Hanna	0.0817648
Sanderson	0.0816659
Brogna	0.0815859
Kurtz	0.0814498
Schmid	0.081418
Kurth	0.0812182
Sykes	0.0811837
Hirschbeck	0.0811386
Silverman	0.0809242
Barshefsky	0.0809036
Sato	0.0808794
Dunleavy	0.0808475
NLRB	0.0808094
Zambrano	0.0807602
Brady	0.0807379
Harmon	0.0806926
Harmoko	0.0806108
Coffey	0.0805992
Kimball	0.0805487
Flutie	0.0803666
Sergeyev	0.0803385
Cline	0.0802648
Palczynski	0.0801961
"Van Raaphorst"	0.0801166
McCurry	0.0798731
Marineau	0.0798151
Ganassi	0.0797739
Patten	0.0796645
Barros	0.0796252
Pryor	0.0794907
Scalfaro	0.0794895
Engel	0.0794885
Lobo	0.0794614
Tran	0.0794343
Verney	0.0793964
Favre	0.0793375
Flaherty	0.0793364
Lau	0.079331
Tagliabue	0.079256
Cianci	0.0790913
Pederson	0.0790731
Conroy	0.0790698
Winkler	0.0788398
Paus	0.0787511
McKeon	0.0787104
Selig	0.0782851
McLane	0.078259
Popovich	0.0781657
Dilfer	0.0781626
Joklik	0.0781597
Eubanks	0.0780736
Whitehead	0.0780075
Phelan	0.0778684
Passarella	0.0777372
D'Alessandro	0.0774567
Bavasi	0.0774563
Rudman	0.0774049
Demaci	0.0773991
Ganga	0.0771452
Constantinescu	0.0771351
Kerrigan	0.0770937
Wenger	0.0770885
Jacquet	0.0768033
STALEY	0.076662
Goldin	0.0765425
Wilhelm	0.0765354
Tuberville	0.0764605
Hersh	0.0764466
Rehnquist	0.0763942
Zuma	0.0763774
Arizmendi	0.0763727
Geiger	0.0763719
Manuel	0.0763108
Sharma	0.0762493
Whipple	0.0762205
Erving	0.0761718
Gathers	0.0759286
Menchu	0.0758972
Aoki	0.075724
Kelleher	0.0756826
McQueen	0.0753947
Bustamante	0.0753332
McCray	0.0752454
Bulatovic	0.0752421
Surin	0.0751922
Abdel-Meguid	0.0751735
Musa	0.0747269
Auriemma	0.0747029
Koskinen	0.0743807
Griese	0.0742628
Herron	0.0742614
Fieger	0.0741809
Jauron	0.0741504
Malu	0.0739935
Mukora	0.0739801
))
(Bonnet (desc 3465.31) (sims
turban	0.135322
tunic	0.133166
headband	0.1263
Poncho	0.124002
smock	0.120403
"feather boa"	0.118517
"hot pants"	0.11673
"bathing suit"	0.11055
halter	0.110455
scarf	0.10592
"cocktail dress"	0.104575
legging	0.104415
"pants suit"	0.104154
knickers	0.102094
"ball gown"	0.0999084
mitten	0.0993314
miniskirts	0.0984076
shawl	0.0981878
"stiletto heel"	0.0978671
frock	0.0976428
yarmulke	0.096839
bustier	0.096198
miniskirt	0.0958618
corset	0.0955993
apron	0.0945618
caftan	0.0945549
sweatshirt	0.0945381
suspender	0.0940238
camisole	0.0937943
"bow tie"	0.0923855
panty	0.0922252
wig	0.0921444
swimsuit	0.0899701
headdress	0.0896202
"fur coat"	0.0887167
pajama	0.0887149
"cowboy hat"	0.0882824
beret	0.0882128
waistcoat	0.0882102
"ski mask"	0.0878725
"business suit"	0.0877374
bikini	0.0873448
raincoat	0.0869027
jumpsuit	0.0858242
overcoat	0.0846204
brassiere	0.0843729
"polo shirt"	0.084358
robe	0.0840762
tiara	0.0838635
"hard hat"	0.083842
sarong	0.0837589
veil	0.0835531
pantsuit	0.0827087
"felt hat"	0.081684
slipper	0.0816323
"evening gown"	0.0812443
sandal	0.0810865
blouse	0.080039
Cape	0.0799781
bodice	0.0797969
bandana	0.0794721
parka	0.0793793
headgear	0.0788347
pantyhose	0.0784264
Chipotle	0.0783989
"neck brace"	0.0782221
vest	0.0775377
skullcap	0.0765468
"trench coat"	0.0763095
trouser	0.0757505
slicker	0.0755609
bra	0.075376
BOA	0.0753246
gown	0.0751879
pant	0.0748937
duster	0.0737688
"leather jacket"	0.0735947
sweater	0.0732582
petticoat	0.0730149
kimono	0.0723115
cardigan	0.0719871
pullover	0.0711031
"evening dress"	0.0708176
windbreaker	0.0701553
"rubber boot"	0.0698071
fedora	0.0697806
"boxing glove"	0.0696641
sunglasses	0.0683804
cloak	0.0682813
bodysuit	0.0681791
handbag	0.0680003
"dark glasses"	0.0679666
"straw hat"	0.0679324
Pantsuits	0.0676488
Sari	0.067529
chiffon	0.0673935
"sport shirt"	0.0671923
choker	0.0670786
undershirt	0.0670277
brooch	0.0668446
"sweat pants"	0.0667882
corduroy	0.0665245
"sports jacket"	0.0655652
pigtail	0.0655565
Serrano	0.0655405
sneaker	0.0654004
regalia	0.0652237
moccasin	0.0647919
stocking	0.0647519
"mink coat"	0.0647075
sock	0.0644518
G-string	0.0636979
bib	0.0633233
barrette	0.0632822
"bowler hat"	0.0632491
underpants	0.0632097
pillowcase	0.062842
necktie	0.0627059
wristband	0.0626698
"baseball cap"	0.0624193
tux	0.0624173
vestment	0.062399
turtleneck	0.0618842
STETSON	0.0616339
tuxedo	0.0613657
"name tag"	0.0611774
"shopping bag"	0.0611678
tights	0.0609464
satin	0.0608399
goatee	0.0601442
bellbottoms	0.0597799
"wedding gown"	0.0592881
stiletto	0.0589351
armband	0.0585911
"nose ring"	0.0585518
collar	0.058386
bandanna	0.058213
handkerchief	0.0581921
blinder	0.0581634
nightgown	0.0580863
Thong	0.0580763
coverall	0.0580205
velvet	0.0579095
"Easter bunny"	0.0578262
"cowboy boot"	0.0575279
jalapeno	0.0572657
trousers	0.0569046
muffler	0.0568323
"nail polish"	0.0565411
Sash	0.0565049
eyeliner	0.056351
bead	0.0562342
bathrobe	0.0561337
sheath	0.0561132
tablecloth	0.0560128
leotards	0.0555078
Tutu	0.0551195
"Lincoln Town Car"	0.0551103
"dress uniform"	0.0551049
blazer	0.0543772
"tennis shoe"	0.054043
lipstick	0.0537462
"belt buckle"	0.0536773
"blue jean"	0.0536306
kilt	0.0535799
earring	0.0528965
"evening bag"	0.0528176
blinker	0.0528024
gloves	0.0527101
"military uniform"	0.0526964
Formica	0.0523776
toupee	0.0521321
"Star of David"	0.0520736
bracelet	0.0517763
underwear	0.05148
mustache	0.0513618
hosiery	0.0513551
fescue	0.051348
sleeve	0.0511799
sunscreen	0.0506144
pajamas	0.0504055
"wedding dress"	0.0503529
"prayer shawl"	0.0500868
bunting	0.0493616
slacks	0.04923
"Toyota Corolla"	0.0489896
garb	0.0487112
leash	0.0483203
finery	0.0481895
"running shoe"	0.0481384
"Jeep Cherokee"	0.0479859
"life vest"	0.0479183
necklace	0.0477779
pinstripes	0.0474175
pompom	0.0473371
chap	0.047196
"dress shirt"	0.0468232
knapsack	0.046594
earplugs	0.0463156
"Honda Civic"	0.0461407
))
(Bonnie (desc 9025) (sims
Bret	0.157694
Mitch	0.152334
Georges	0.146097
Debby	0.146088
"Hurricane Bonnie"	0.144908
Floyd	0.125635
Irene	0.120615
Dennis	0.111166
Bertha	0.109855
Babs	0.10975
Alberto	0.0997865
Arlene	0.0978863
"Hurricane Dennis"	0.094472
Fran	0.0914933
"Hurricane Bret"	0.0896142
"Hurricane Georges"	0.0886125
Debbie	0.081834
Vicki	0.0816545
hurricane	0.0799427
Frances	0.0795178
Brenda	0.0794514
Danielle	0.0775092
Kathleen	0.0754985
Edith	0.0749513
"Hurricane Floyd"	0.0746621
Linda	0.0733229
Janet	0.0729275
Kathy	0.0726736
"Hurricane Mitch"	0.0714155
Jill	0.069586
Lois	0.0695646
Celia	0.0694044
Lenny	0.0694
Eileen	0.0693865
Jose	0.0693588
Camille	0.0683269
Audrey	0.0680445
alicia	0.0677079
Natalie	0.0674026
Diane	0.0669308
Beth	0.0668744
Thelma	0.0660081
Josephine	0.0659745
gloria	0.0656436
Lori	0.0648811
Alice	0.0646602
Erin	0.0639874
Stephanie	0.0635601
Maria	0.0633661
Jamie	0.0629026
anna	0.0628929
Kathryn	0.0627397
Helen	0.062727
Alex	0.0626134
Hilary	0.062526
Nicole	0.0623098
Pamela	0.0621555
Otto	0.0619795
Jennifer	0.061776
Martha	0.0615608
Laura	0.0608573
Esther	0.0606669
Kristin	0.0605898
Teresa	0.0604853
Rachel	0.0602166
Carolyn	0.0601123
George	0.0598008
Emily	0.0596474
Erica	0.0595101
Margaret	0.0593546
Jacqueline	0.0591273
Michelle	0.0586137
Typhoon	0.0582894
Naomi	0.0581039
cyclone	0.058003
"warm front"	0.0579468
Pauline	0.0578313
Mary	0.057814
Isaac	0.0571498
Zeb	0.0567992
Christine	0.0567407
Lisa	0.056707
Jane	0.0561755
Donna	0.0561754
Nancy	0.0561751
Frankie	0.0561538
Susan	0.0559436
Patti	0.0558243
Marilyn	0.0558035
Dorothy	0.0557561
Katie	0.0557384
Rebecca	0.055663
Caroline	0.0554
tornado	0.055157
Cindy	0.0548962
Lynn	0.0546158
Sara	0.0544443
Judith	0.0543121
Vanessa	0.0536835
Juanita	0.0531237
Marie	0.0528152
Kate	0.0526646
Kimberly	0.0525776
Charley	0.0522933
JoAnne	0.0519557
Sarah	0.0518404
Jeanne	0.0517933
Patricia	0.0517409
Olga	0.051436
Karen	0.0512886
Julie	0.050812
Joyce	0.0507761
Samantha	0.0507455
Joan	0.0507252
Cesar	0.050567
Barbara	0.0505366
heather	0.0505068
Peggy	0.050446
Laurie	0.0502814
Jessica	0.050019
twister	0.0499673
"Leigh Ann"	0.0498691
Valerie	0.049788
Denise	0.0495883
Lucy	0.049514
Rudolph	0.0494833
colleen	0.0494274
Hadley	0.0490498
"Hurricane Andrew"	0.0488527
Andrea	0.0485759
Miriam	0.0485718
Chris	0.0484821
Julia	0.0484215
Anne	0.0484103
Cheryl	0.0483339
hazel	0.0481288
Shannon	0.0479119
Suzanne	0.0479113
Florence	0.0478131
Betty	0.0475366
Sandra	0.0475033
Stella	0.047261
Melissa	0.0471778
"Jesse James"	0.0471515
Melinda	0.0470382
Joseph	0.046848
Rains	0.0467923
Harold	0.0467444
Gordon	0.0467075
Evelyn	0.0466919
Ivan	0.0466424
Olivia	0.0466056
Marian	0.046572
Andrew	0.0465171
Michele	0.0465108
Ashley	0.0463594
David	0.0462594
Nora	0.0462072
Elizabeth	0.0461656
Brooke	0.0459842
Cathy	0.0457965
Veerappan	0.045352
Harry	0.0452598
"Karenna Gore Schiff"	0.0452014
Liz	0.0451162
Lydia	0.0450257
Monique	0.0449931
Polly	0.0449916
Beverly	0.0447908
Catherine	0.0447468
Larry	0.0446485
"low pressure"	0.0446472
Richard	0.044564
Alexandra	0.0445244
Deborah	0.044522
Angela	0.0444765
Lynne	0.0443722
Amanda	0.0443223
Jessie	0.0437597
Vivian	0.043678
Phil	0.0436666
Carol	0.0436224
Jackie	0.0436083
Lou	0.0435467
Sally	0.0434699
Pam	0.0433654
Kay	0.0433454
Maureen	0.0431612
Sonia	0.0429866
Hadassah	0.0429866
Steve	0.042948
Judy	0.0428938
Tina	0.0426896
Bruce	0.0426675
Peter	0.0426071
"Lauren Bessette"	0.0424683
"cold front"	0.0424502
Connie	0.0423402
Leslie	0.0422865
Shirley	0.042044
))
("Bonnie Raitt" (desc 3911) (sims
"James Taylor"	0.204412
"Shawn Colvin"	0.180474
"Linda Ronstadt"	0.156571
"Sheryl Crow"	0.148723
"Bob Dylan"	0.145679
"Neil Young"	0.138209
"Jimmy Buffett"	0.137764
"Carly Simon"	0.136963
"Paul Simon"	0.133877
"Peter Gabriel"	0.133154
"Aretha Franklin"	0.132826
"Alanis Morissette"	0.131766
"Eric Clapton"	0.130584
"Phil Collins"	0.124544
"Lyle Lovett"	0.123174
U@	0.121195
"Elton John"	0.119892
"Emmylou Harris"	0.118766
"Sarah McLachlan"	0.11638
"Lauryn Hill"	0.116278
"Tracy Chapman"	0.114928
"Don Henley"	0.113092
"Stevie Wonder"	0.112493
"Erykah Badu"	0.112093
"David Bowie"	0.111788
"David Byrne"	0.110821
"Dave Matthews"	0.107951
"Lenny Kravitz"	0.1064
"Joni Mitchell"	0.105505
"Bruce Springsteen"	0.104653
"B.B King"	0.104249
"Phil Donahue"	0.103066
"Marc Anthony"	0.102131
"Dave Matthews Band"	0.0999393
"Billy Joel"	0.0985616
"Tom Waits"	0.0972409
"Joan Baez"	0.0966013
"Willie Nelson"	0.0952273
"Elvis Costello"	0.0950458
"Shania Twain"	0.0946557
"Whitney Houston"	0.0935933
"Patti Smith"	0.0912411
"Led Zeppelin"	0.0904732
"Indigo Girls"	0.0889741
"Van Morrison"	0.0889074
"Lou Reed"	0.0873223
"Barbra Streisand"	0.0856964
"Kurt Cobain"	0.0849388
"John Mellencamp"	0.0844573
"Rob Thomas"	0.0833357
"Johnny Cash"	0.083047
"Michael Jackson"	0.0825148
"Diana Krall"	0.0815999
"Steve Earle"	0.0814251
"Celine Dion"	0.0813057
"Mary J. Blige"	0.0799212
"Michael Bolton"	0.0795709
Bono	0.0794072
"Pink Floyd"	0.0791385
"Garth Brooks"	0.0785644
"Dolly Parton"	0.0782318
Aerosmith	0.0782219
Madonna	0.0777987
"Clint Black"	0.0772095
"James Brown"	0.0769496
"Toni Braxton"	0.0756608
"Foxy Brown"	0.074034
"Vince Gill"	0.0730842
"Mick Jagger"	0.072979
"Burt Bacharach"	0.0725667
"Lucinda Williams"	0.0719031
"Mariah Carey"	0.071411
Cher	0.0710685
"Melissa Etheridge"	0.0710321
"Susan Sarandon"	0.0707385
"Pearl Jam"	0.070103
"Macy Gray"	0.0694407
"Andrea Bocelli"	0.0690152
"Quincy Jones"	0.0670925
Monkees	0.0666309
"Beach Boys"	0.0664584
"Tony Bennett"	0.0654281
"Waylon Jennings"	0.0645425
"Kirk Franklin"	0.0643409
"Marvin Gaye"	0.063243
Beatles	0.063191
"Spice Girls"	0.0630648
"Ray Charles"	0.0622769
"Dwight Yoakam"	0.0612885
"Bob Marley"	0.0612317
"Tori Amos"	0.0611831
"Britney Spears"	0.0609833
"Hank Williams"	0.0601565
"GLORIA ESTEFAN"	0.0598349
"Rolling Stones"	0.0593363
"Jimi Hendrix"	0.0593055
"Jon Bon Jovi"	0.0589982
"Muddy Waters"	0.0578579
McLachlan	0.0567985
"Vanessa Redgrave"	0.0561098
"Chrissie Hynde"	0.0561096
"Loretta Lynn"	0.0560895
"George Jones"	0.0555569
"Paul McCartney"	0.0555322
Beck	0.0551095
"Faith Hill"	0.0550265
"Rod Stewart"	0.0549021
Selena	0.0548804
"Janis Joplin"	0.0546233
"Audra McDonald"	0.0544262
Bjork	0.0541347
D'Angelo	0.05412
Springsteen	0.0541077
"Dixie Chicks"	0.0533658
"Natalie Portman"	0.0533276
"LeAnn Rimes"	0.0532742
"Andre Braugher"	0.0526948
"Rosie O'Donnell"	0.052245
"Laurie Anderson"	0.051888
"Red Hot Chili Peppers"	0.0518263
Hootie	0.0510786
"Backstreet Boys"	0.0508001
"Tito Puente"	0.0500168
"Puff Daddy"	0.0500144
"Tammy Wynette"	0.0499514
"David Spade"	0.0499056
"Luciano Pavarotti"	0.0498764
"Warren Beatty"	0.0497366
"Tina Turner"	0.0494076
"Jimmy Page"	0.0492291
Pretender	0.0490527
"Marilyn Manson"	0.0490252
Metallica	0.0488762
"Frank Sinatra"	0.0483792
"Jim Morrison"	0.0482991
"Janet Jackson"	0.0482212
"Demi Moore"	0.0481499
"Tim McGraw"	0.0479469
"Tim Robbins"	0.04787
"Bette Midler"	0.047837
"Wyclef Jean"	0.047352
Babyface	0.0471066
"Merle Haggard"	0.0467813
"Josephine Baker"	0.0460437
"Duke Ellington"	0.0459406
"Kris Kristofferson"	0.0457871
"Jessye Norman"	0.0456106
"Sidney Poitier"	0.0454984
Phish	0.0454891
"Diana Ross"	0.0454672
"James Earl Jones"	0.0446439
"Smashing Pumpkins"	0.0444274
"Lily Tomlin"	0.0444068
"Fleetwood Mac"	0.0440738
"Tom Jones"	0.0437816
"Jennifer Lopez"	0.0437519
R.E.M	0.0436315
"Grateful Dead"	0.0435309
Lang	0.0434367
"Busta Rhymes"	0.0433624
"Carol Burnett"	0.0432341
"George Strait"	0.0429889
"Mandy Patinkin"	0.0429277
"Ray Romano"	0.0428188
"Robert Redford"	0.0427791
"William Shatner"	0.0427498
"Martin Sheen"	0.0427312
"Little Richard"	0.0426916
"Danny DeVito"	0.0425542
"R. Kelly"	0.0424783
"Elizabeth Taylor"	0.0423055
wallflower	0.0422653
"E Street Band"	0.042142
"George Michael"	0.0420559
"Beastie Boys"	0.0414425
"Bill Cosby"	0.0413997
"Tim Burton"	0.0413463
"Gennifer Flowers"	0.0405117
Sahnoun	0.0404699
"Liza Minnelli"	0.0404669
"Whoopi Goldberg"	0.0402997
Foxx	0.0402092
))
(Bono (desc 6660.4) (sims
"Sheryl Crow"	0.116505
"David Bowie"	0.111135
Moakley	0.110149
"Phil Collins"	0.105655
Royce	0.105572
"John Mellencamp"	0.10541
"Alanis Morissette"	0.103257
Capps	0.103233
"Patti Smith"	0.102029
"Lauryn Hill"	0.101656
Doggett	0.100642
"George Michael"	0.100311
"Jim Morrison"	0.100178
"Elvis Costello"	0.100162
Larson	0.0987042
"Don Henley"	0.098006
"Jon Bon Jovi"	0.0966276
Markey	0.0963781
Northup	0.0959793
Delahunt	0.0947097
Napolitano	0.0946074
Meeks	0.0941652
McInnis	0.0941165
"Iggy Pop"	0.0920369
"Melissa Etheridge"	0.0912111
McHugh	0.0910265
"Mariah Carey"	0.0908094
Danner	0.0903299
Canady	0.0866695
Bliley	0.0846015
Dooley	0.084015
"Kurt Cobain"	0.0833315
Waxman	0.0830037
Weldon	0.0827678
"Peter Gabriel"	0.0824186
Hobson	0.0823673
Klink	0.0821283
McIntosh	0.0818975
Houghton	0.0815137
Engel	0.0812579
"Aretha Franklin"	0.0800353
"Eric Clapton"	0.0800207
Metcalf	0.0794663
"Bonnie Raitt"	0.0794072
McIntyre	0.0782217
"Celine Dion"	0.0780311
Nadler	0.0777561
Chabot	0.0770052
Condit	0.0764328
PITTS	0.0762759
Deutsch	0.0759772
Menendez	0.0752168
Isakson	0.0747562
Lowey	0.0745096
Watkins	0.0742544
"Mick Jagger"	0.0739443
McNulty	0.0738728
"Willie Nelson"	0.0736803
"Sarah McLachlan"	0.073443
"Rob Thomas"	0.0727094
Phelps	0.0720267
Machel	0.0718387
McCollum	0.0714267
"Stevie Wonder"	0.0708099
COYNE	0.070719
"Paul Simon"	0.0703251
U@	0.0701448
Gilman	0.0696861
"Toni Braxton"	0.0696804
"Chrissie Hynde"	0.0696746
Leach	0.0695661
"Marilyn Manson"	0.0693897
Kolbe	0.0692969
Durwood	0.0689216
Madonna	0.0687067
Neal	0.06867
Reyes	0.0685297
McKeon	0.068161
Meehan	0.0680404
Pelosi	0.0675884
"Lou Reed"	0.0674041
Rangel	0.0673821
Dingell	0.0670135
SHUSTER	0.0668206
Tauzin	0.0667403
"Shania Twain"	0.0667115
Hastings	0.0666953
"Whitney Houston"	0.0666336
"Chris Gaines"	0.0664059
"Bruce Springsteen"	0.0662062
fowler	0.0661502
"Puff Daddy"	0.065956
Neulander	0.0659345
"Janet Jackson"	0.0659126
"Foxy Brown"	0.0654188
McCarthy	0.0650577
"Jerry Garcia"	0.0650524
Schaffer	0.0650398
McGovern	0.0645585
Mehta	0.0643497
Goode	0.0641679
Rogan	0.0641071
"Led Zeppelin"	0.063995
Evans	0.0637435
Pickett	0.0635241
Linder	0.063386
Strickland	0.0632938
Richards	0.0632717
Callahan	0.0631626
"Busta Rhymes"	0.0631606
Ulrich	0.0631504
Brady	0.0623965
Selena	0.0622069
Kasich	0.0621738
Gutierrez	0.0620377
Portman	0.0620143
Caray	0.0620047
Levin	0.0617471
Foley	0.0616164
Barton	0.0615382
McLachlan	0.0614838
"Billy Joel"	0.0613706
Lovett	0.0609641
"LeAnn Rimes"	0.0606651
D'Angelo	0.0605489
"David Byrne"	0.0605461
Cunningham	0.0605083
Byrdsong	0.0604502
"Andrea Bocelli"	0.0601613
Lindbergh	0.0601259
Beck	0.060078
Baugh	0.0598977
Packard	0.0593378
McCartney	0.0589068
Chambliss	0.058815
Castaneda	0.0586507
Simons	0.0586072
MANA	0.0579964
Bustamante	0.0577114
Aquino	0.0575986
Dixon	0.0574605
Largent	0.0574328
Moynihan	0.0573862
Garza	0.0573668
Barrett	0.0573053
Latham	0.0573017
Berman	0.0571817
"GLORIA ESTEFAN"	0.0571215
Lawler	0.0567657
"Tom Waits"	0.0566626
Norberg	0.0566229
"Courtney Love"	0.0564936
Conyers	0.0563618
"Elton John"	0.0562985
Hess	0.0561446
Lipinski	0.0559402
"Erykah Badu"	0.0557989
Binion	0.0557437
Serrano	0.0555511
Fordice	0.0555197
"Bob Dylan"	0.0553859
Ruehe	0.0552134
Farr	0.0551286
"Carlos Santana"	0.0550939
mica	0.0550649
"Britney Spears"	0.0546288
Payne	0.054552
Cisneros	0.0542809
Sheppard	0.0541373
Kyl	0.0541201
Loeb	0.0539994
Doyle	0.0539919
Eastwood	0.0538085
Rosario	0.0536354
granger	0.0534754
Crowley	0.053385
Zapruder	0.0533671
Bowers	0.0533662
Puente	0.0533559
Barnes	0.0531672
Peterson	0.0531355
Ortiz	0.0531061
Caldera	0.0530204
Cobain	0.0528378
Jenkins	0.0527966
Copeland	0.052729
Blackmun	0.0525354
McPherson	0.0525146
Armey	0.0524743
Goldwater	0.0524092
Ramsey	0.0522422
"Joni Mitchell"	0.0521895
Clements	0.0521755
"Mary J. Blige"	0.0521738
Hiett	0.0521531
Gorman	0.0521504
Merritt	0.0521012
Moxley	0.0519203
Sawyer	0.0518366
Onassis	0.0518224
))
(bonus (desc 68910.3) (sims
salary	0.225764
pension	0.176281
payment	0.173404
compensation	0.168403
"stock option"	0.166641
fee	0.164546
raise	0.162748
incentive	0.160519
"pay raise"	0.157543
pay	0.15237
allowance	0.14698
wage	0.14447
stipend	0.142878
"prize money"	0.137829
reward	0.137305
subsidy	0.135025
prize	0.134466
purse	0.134222
benefit	0.133456
sum	0.132395
grant	0.130903
"tax break"	0.130889
fine	0.12908
"wage increase"	0.128574
rebate	0.127933
paycheck	0.127013
dividend	0.126947
payout	0.12598
refund	0.124633
donation	0.123427
payoff	0.118149
"cash payment"	0.117696
income	0.117671
contribution	0.117469
money	0.11722
"retirement benefit"	0.117133
saving	0.116262
reimbursement	0.115454
rent	0.115029
gift	0.114652
premium	0.112551
cash	0.11243
"tax credit"	0.112376
scholarship	0.112204
contract	0.111479
severance	0.110718
"cash bonus"	0.110506
tax	0.109372
expense	0.10861
cost	0.108187
award	0.108181
discount	0.107375
jackpot	0.106152
perk	0.105958
royalty	0.105071
bribe	0.105018
revenue	0.103855
increment	0.103353
loan	0.103219
"down payment"	0.102594
package	0.101696
Ransom	0.101659
profit	0.101124
"price tag"	0.100797
payroll	0.0995331
"legal fee"	0.0995088
funding	0.0991352
payouts	0.0982537
Tuition	0.0979795
check	0.0976924
kickback	0.0974461
penalty	0.0972146
amount	0.0971602
fund	0.0969598
"tax cut"	0.0962187
"compensation package"	0.0961941
buyout	0.0957556
option	0.0956057
credit	0.0954071
restitution	0.0950394
minimum	0.0945843
payday	0.094416
increase	0.0939345
"income tax"	0.0933606
earnings	0.0922108
exemption	0.0909772
"job security"	0.0886389
debt	0.0883035
worth	0.0882706
savings	0.0872541
assistance	0.0871584
maximum	0.0865285
insurance	0.0860827
windfall	0.0859302
mortgage	0.085282
budget	0.0852793
"health insurance"	0.0852326
"pay cut"	0.0842164
"health benefit"	0.0838633
asset	0.083792
"interest payment"	0.0832461
arrears	0.0822113
"operating budget"	0.0822088
"amount of money"	0.0820616
investment	0.0820068
"asking price"	0.0819499
"minimum wage"	0.0819338
voucher	0.0814
"Social Security benefit"	0.0813185
deduction	0.0812492
deal	0.0807493
deposit	0.0804504
"nest egg"	0.0799566
proceeds	0.079677
concession	0.0795638
total	0.0792269
"salary cap"	0.0791712
guarantee	0.0790981
annuity	0.0789009
gain	0.078647
"war chest"	0.0782858
price	0.0782648
aid	0.0780902
ticket	0.0777752
"purchase price"	0.0775929
"capital gain"	0.0775535
reduction	0.0774182
financing	0.0767538
spending	0.0760691
extension	0.0759546
"financial aid"	0.0756522
damage	0.0754844
outlay	0.0754776
"tax deduction"	0.0753797
sale	0.0753656
cut	0.0749525
fare	0.0746943
gratuity	0.0745992
bounty	0.0744906
expenditure	0.0744287
share	0.0743547
rate	0.0743308
job	0.0735987
inducement	0.0734973
Promotion	0.0734937
relief	0.0733823
"about $@@@,@@@"	0.073228
coupon	0.0731726
"tax bill"	0.0729961
endowment	0.0728825
purchase	0.0725714
"net income"	0.0723647
receipt	0.0723222
installment	0.0722316
value	0.072187
allocation	0.0719818
settlement	0.0718422
"operating cost"	0.0715801
"life insurance"	0.0715225
interest	0.0711481
"tax revenue"	0.0709449
privilege	0.0706069
"list price"	0.0704442
hike	0.0704041
clause	0.0698815
due	0.069759
dlrs	0.0696018
reparation	0.0694829
"about $@@ million"	0.0694287
"medical care"	0.0693218
"about $@ million"	0.0692224
boost	0.0690282
"property tax"	0.0688885
"market value"	0.0685907
overtime	0.0684517
limit	0.0678902
certificate	0.0675628
surplus	0.0675588
inheritance	0.067501
bill	0.0674812
improvement	0.0670383
"sick leave"	0.0667611
"tax incentive"	0.0664027
retirement	0.0663541
bond	0.0662176
repayment	0.0661184
coverage	0.0660146
loss	0.0658822
"medical bill"	0.0658141
program	0.0656976
average	0.0656406
opportunity	0.0656195
equity	0.0654708
estimate	0.0652856
allotment	0.0651533
account	0.0651097
"child support"	0.0647646
percentage	0.0647518
"time off"	0.0647068
infusion	0.0645675
))
("Bonzi Wells" (desc 2108.12) (sims
"Greg Anthony"	0.260696
"Rasheed Wallace"	0.258007
"Walt Williams"	0.251668
"Arvydas Sabonis"	0.218116
"Damon Stoudamire"	0.193416
"Jermaine O'Neal"	0.187287
"Detlef Schrempf"	0.183423
"Brian Grant"	0.181152
"Isaiah Rider"	0.180449
"Rashard Lewis"	0.179141
"Kelvin Cato"	0.174104
"Jim Jackson"	0.161504
"Tyronn Lue"	0.161101
"Steve Smith"	0.158085
"Larry Hughes"	0.15808
"Shawn Marion"	0.155949
"Mike Bibby"	0.150698
"Bob Sura"	0.141956
"Brent Barry"	0.141906
"Ed Gray"	0.141903
"Keith Brooking"	0.139841
"Dale Ellis"	0.139196
"Cuttino Mobley"	0.134838
"Stacey Augmon"	0.134231
"Jason Williams"	0.13393
"Mookie Blaylock"	0.133773
"Carlos Rogers"	0.132197
"Jeff Trepagnier"	0.131989
"Doug Christie"	0.128816
"Austin Croshere"	0.128793
"Tariq Abdul-Wahad"	0.127331
"Kris Clack"	0.124492
"Jimmy Oliver"	0.12392
"Tony Massenburg"	0.123681
"Michael Booker"	0.122469
"Michael Dickerson"	0.122466
"Kendall Gill"	0.122401
"Antawn Jamison"	0.122353
"Matt Santangelo"	0.121276
"Bobby Phills"	0.121243
"Shammond Williams"	0.121069
"Billy Knight"	0.121019
"Vernon Maxwell"	0.120947
"Lamond Murray"	0.119773
"Courtney Alexander"	0.118756
"Solomon Page"	0.1181
"Voshon Lenard"	0.117594
"Shandon Anderson"	0.117521
"Jelani McCoy"	0.117428
"Pat Garrity"	0.117181
"Curtis Enis"	0.11696
"Vladimir Stepania"	0.116899
"Anthony Johnson"	0.116833
"Dirk Nowitzki"	0.1168
"Howard Eisley"	0.115595
"Raef LaFrentz"	0.115426
"Eric Piatkowski"	0.115299
"Brad Miller"	0.113858
"Tracy McGrady"	0.11301
"Tony Hutson"	0.112645
"Michael Redd"	0.1122
"Toby Bailey"	0.111146
"Michael Finley"	0.110957
"Sam Mack"	0.11031
"Mitch Richmond"	0.110164
"Terrell Brandon"	0.109821
"Dion Glover"	0.109267
"Andre Miller"	0.10899
"Terry Porter"	0.108938
"Kenny Thomas"	0.108695
"Derek Fisher"	0.108586
"Darrell Armstrong"	0.107983
"Nick Anderson"	0.106869
"Jason Terry"	0.106571
"Derek Anderson"	0.106479
"Hersey Hawkins"	0.106116
"CORIE BLOUNT"	0.105161
"Devean George"	0.104903
"Sherman Douglas"	0.104521
"Bryce Drew"	0.10404
"Brian Shaw"	0.102433
"Eddie House"	0.101642
"Flozell Adams"	0.100067
"Gary Payton"	0.0998969
"Leon Smith"	0.0994093
"Jerry Stackhouse"	0.0990095
"Rick Fox"	0.0989036
"Ruben Patterson"	0.0988457
"David Wesley"	0.0988308
"Brian Skinner"	0.0986145
"Al Harrington"	0.0983237
"Kerry Kittles"	0.0976168
"Samaki Walker"	0.0975639
"Jeff Hornacek"	0.0975451
"Eric Snow"	0.0973226
"Jaren Jackson"	0.0972941
"John Avery"	0.0972246
"Tim Hardaway"	0.0965409
"Joe Kleine"	0.0954233
"Otis Thorpe"	0.0948464
"Rico Hines"	0.094629
"Ron Artest"	0.093913
"Travis Best"	0.0937373
"Brandon Granville"	0.0933488
"Scoonie Penn"	0.0932356
"Paul Pierce"	0.0929035
"Richard Hamilton"	0.0920834
"Tebucky Jones"	0.0918687
"Eric Murdock"	0.091511
"Jerome Kersey"	0.0913088
"Scot Pollard"	0.0912201
"Adrian Griffin"	0.091199
"Ryan Bailey"	0.0911975
"Hu Weidong"	0.0911375
"Donyell Marshall"	0.0899897
"Nikki McCray"	0.0898317
"Ray Young"	0.0897809
"Todd Husak"	0.0893419
"Penny Hardaway"	0.0891295
"Pat Burrell"	0.0890624
"Maurice Taylor"	0.0890356
"Scottie Pippen"	0.0887795
"Gary Trent"	0.0885787
"Brevin Knight"	0.0883643
"Chamique Holdsclaw"	0.0883326
"Ukari Figgs"	0.0881849
"Bimbo Coles"	0.0877412
"Steve Francis"	0.0876532
"Yolanda Griffith"	0.0874259
"Wally Szczerbiak"	0.0873259
"Allan Houston"	0.0870888
"Kenyon Martin"	0.0869281
"Thomas Jones"	0.0866152
"Antonio Davis"	0.0865325
"Ron Mercer"	0.0862762
"Jalen Rose"	0.0861939
"Sam Cassell"	0.0860476
"Anthony Mason"	0.0857003
"Chris Crawford"	0.0856474
"Tyrone Nesby"	0.0856362
"L.J Shelton"	0.0850955
"Chris Childs"	0.0845038
"George McCloud"	0.0838861
"Greg Ellis"	0.0838595
"Richard Jefferson"	0.0838567
"Jeff Weaver"	0.083294
"J.R Redmond"	0.0831386
"Mateen Cleaves"	0.083077
"Grant Long"	0.082742
"Champ Bailey"	0.0826988
"Mark Madsen"	0.0823576
"Reggie Miller"	0.0819236
"Jumaine Jones"	0.0815963
"Jamal Mashburn"	0.0815856
"Edgerrin James"	0.0812447
"Andre Wadsworth"	0.0809997
"Robert Traylor"	0.0804823
"Olli Jokinen"	0.0798279
"Khalid El-Amin"	0.0792048
"Patrik Stefan"	0.0790857
"Ulf Kirsten"	0.078942
"Erick Barkley"	0.0785789
"Tom Gugliotta"	0.0785337
"Teresa Weatherspoon"	0.0783093
"Mario Elie"	0.0781794
"Ron Harper"	0.0781071
"Corey Maggette"	0.0779542
"Dana Barros"	0.077841
"Nick Van Exel"	0.0777186
"Darrick Martin"	0.0776389
"Michael Olowokandi"	0.0776212
"Matt Geiger"	0.0775901
Sabonis	0.0775801
"Steve DeBerg"	0.0773458
"Chris Gatling"	0.0772426
"Hubert Davis"	0.0769818
"John Wallace"	0.0769668
"Don Maclean"	0.0768185
"Charlie Batch"	0.0767623
"Rex Chapman"	0.0767137
"Travis Knight"	0.0765284
"Vince Carter"	0.0764269
"Chris Anstey"	0.0763639
"Keith Van Horn"	0.0760957
"Clarence Weatherspoon"	0.0760954
"Wayne Turner"	0.075743
"Corliss Williamson"	0.0756694
"Kenny Anderson"	0.0755679
"Baron Davis"	0.0755412
"Brent Price"	0.075527
"Brad Isbister"	0.075431
"Chris Taylor"	0.0750953
"Gabe Muoneke"	0.0747357
"Morris Peterson"	0.0744915
"Elden Campbell"	0.0739763
"Dale Davis"	0.0738526
"Kevin Faulk"	0.0737658
"J.D Drew"	0.0737117
"Chauncey Billups"	0.073651
"Steve Kerr"	0.0734091
))
(boo (desc 13791.7) (sims
jeer	0.237963
cheer	0.206035
applause	0.202913
catcall	0.184078
"standing ovation"	0.152325
whoop	0.151306
groan	0.150287
shout	0.147258
ovation	0.146484
chant	0.144396
taunt	0.141715
laughter	0.131273
amen	0.128654
roar	0.125934
shriek	0.106661
whistle	0.106007
derision	0.105764
gasp	0.104177
scream	0.100435
murmur	0.0956304
howl	0.092998
hoot	0.0905469
chuckle	0.0881932
noise	0.0861333
adulation	0.0802892
YAWN	0.078526
sob	0.0779098
ribbing	0.0770895
sigh	0.0754041
squeal	0.074695
gunfire	0.073784
guffaw	0.0731216
hiss	0.0714372
wail	0.0700424
high-fives	0.0693143
confetti	0.0678492
clapping	0.067331
chorus	0.0670966
accolade	0.0670599
barb	0.0667997
criticism	0.0660801
ridicule	0.0644707
yelp	0.0630092
gunshot	0.0630048
"hue and cry"	0.0623318
"car horn"	0.0623087
flak	0.0620843
epithet	0.0603331
giggle	0.0600589
scorn	0.0599072
invective	0.0589019
"foot traffic"	0.0588638
chatter	0.0583556
rumblings	0.0582581
snicker	0.0575138
buzz	0.0570398
wisecrack	0.0567996
expletive	0.0564669
obscenity	0.0559576
outrage	0.0556505
outburst	0.0541872
emotion	0.0538367
heckler	0.0537784
heckling	0.0533792
insult	0.0533297
excitement	0.0532487
"rain shower"	0.0526663
cacophony	0.0523939
bravo	0.0523793
whisper	0.052188
jibe	0.0520534
doubter	0.0519623
slur	0.051865
barrage	0.0510215
sympathy	0.050908
firework	0.0508471
enthusiasm	0.0507033
"Happy Birthday"	0.0506428
denunciation	0.0493653
chanting	0.0486526
sarcasm	0.0480502
scuffle	0.0480336
outcry	0.0479191
profanity	0.0478033
grimace	0.0476068
commotion	0.0475808
beep	0.0472895
skepticism	0.0471626
incredulity	0.0465949
outpouring	0.0462428
"curtain call"	0.0461316
yelling	0.0453882
flurry	0.0453171
shouting	0.045111
fife	0.0443582
kudos	0.0442399
"church bell"	0.0442117
"margin call"	0.0442103
venom	0.0441407
bargain-hunting	0.0440921
thunder	0.0440113
vitriol	0.0439677
feedback	0.0438844
"artillery fire"	0.0438549
thundershowers	0.0436763
backlash	0.0434331
grunt	0.0432955
disbelief	0.043284
smattering	0.0428276
condemnation	0.0426801
thud	0.0420877
"background noise"	0.0420289
ire	0.0415161
recrimination	0.0412958
affection	0.0412478
fury	0.0411804
plaudit	0.0411606
testimonial	0.040971
elation	0.0409003
jubilation	0.0408519
hype	0.0408178
taunting	0.0402072
sleet	0.0401795
finger-pointing	0.0400082
))
(Boo.com (desc 1840.2) (sims
Reel.com	0.0971414
"Amazon.com Inc."	0.0957733
Priceline.com	0.0949119
CDnow	0.0915538
Cerent	0.0823575
"Staples Inc."	0.0810351
Toysmart.com	0.0802804
Peapod	0.0781285
"Wal-Mart Stores Inc."	0.0777026
eToys	0.0752402
DrKoop.com	0.0688824
Sogo	0.0670219
"Raging Bull"	0.0643383
Pets.com	0.0611174
GeoCities	0.0608367
Buy.com	0.0606246
"J.C. Penney"	0.060574
TiVo	0.0603674
Healtheon	0.0601076
Toysmart	0.0594901
MarketWatch.com	0.0592117
"Cable &AMP; Wireless"	0.0588486
Cadbury	0.0585753
Carrefour	0.0574583
Travelocity	0.0568975
CellPro	0.0554203
"Yamaichi Securities Co."	0.0551885
ZDNet	0.053975
MP@.com	0.0539697
Benetton	0.0536104
Salon.com	0.0529465
"Lycos Inc."	0.0524804
ETrade	0.0520436
Google	0.0519593
Ciena	0.0508161
CompUSA	0.0505214
RAMBUS	0.0505071
"Federated Department Stores"	0.0503866
Livent	0.0498569
Pirelli	0.0498306
Priceline	0.0498295
Drugstore.com	0.0496165
Lilco	0.0489155
sandpiper	0.04853
"Orange PLC"	0.0484064
"Vodafone Airtouch PLC"	0.0482684
NCR	0.0481792
"Barneys New York"	0.0480611
COS.	0.0480428
"Best Buy"	0.0480196
TheStreet.com	0.0479287
"BP Amoco"	0.0477757
Marconi	0.0476901
Broadcast.com	0.0475618
"HSBC Holdings"	0.0474896
"Cadbury Schweppes"	0.0473788
Pearson	0.0465536
"Wal-Mart Stores"	0.0460818
Caldor	0.0455734
RJR	0.0450878
Sycamore	0.0446817
"Philippine Airlines"	0.0446433
"East African Community"	0.044539
Monster.com	0.0442269
"SmithKline Beecham"	0.044094
Stroh	0.0437584
ABL	0.0437175
UAM	0.0432689
Berle	0.0432014
LTCB	0.0429492
ICI	0.0428087
Transmeta	0.0424422
Broadcom	0.0423646
"Nortel Networks Corp."	0.0421829
VICKERS	0.0421514
AGL	0.041894
"Ethiopian Airlines"	0.0415712
RealNetworks	0.0415414
"merchant bank"	0.0412149
DLC	0.0411736
"Rite Aid"	0.0411136
Daewoo	0.0408739
iVillage	0.0404381
"CBS SportsLine"	0.0403914
"P&AMP;G"	0.0401043
))
(boob (desc 1822.08) (sims
"guardian angel"	0.099247
"pain in the neck"	0.0978922
"guitar player"	0.0713458
heretic	0.0659346
"waste of money"	0.0645114
cipher	0.0635842
nitwit	0.0626611
jawbone	0.0623597
"important person"	0.0622133
Momma	0.0622003
"fellow traveler"	0.0620523
"risk taker"	0.0609789
double-teamed	0.0603282
"old lady"	0.0599197
wimp	0.0584229
choirboy	0.0583838
molar	0.0579052
idiot	0.0578694
"hard worker"	0.057603
"big leaguer"	0.0575287
slob	0.0575087
ass	0.0568657
fella	0.05613
"good person"	0.0558134
"big sister"	0.0549444
pushover	0.0548692
antsy	0.0547516
"beach towel"	0.0547254
geezer	0.0543147
derriere	0.0541649
bigot	0.0541518
crook	0.0537863
"Rugrats Movie"	0.0534989
egomaniac	0.0528699
Beavis	0.0522057
eyeball	0.0521275
handicapper	0.0518682
acquirer	0.0517941
"pubic hair"	0.05174
toenail	0.0514996
"easy chair"	0.0514674
dude	0.0512674
moustache	0.0509497
"making love"	0.0506243
outta	0.0502475
Houdini	0.0500506
"young person"	0.0499226
"mind's eye"	0.0498459
baldness	0.0497417
nerd	0.0497302
"charter member"	0.04967
gung-ho	0.0496086
expletive	0.0494065
bloke	0.0491013
Rolodex	0.0490838
bastard	0.0487943
pro-choice	0.0487757
"good guy"	0.0486268
soulmate	0.0486019
"legal representation"	0.0485652
ID.	0.0485531
icicle	0.0483151
remotes	0.0480702
"pen pal"	0.0479736
"public speaker"	0.0478164
"data file"	0.0475012
hyper	0.0474107
"altar boy"	0.0473373
grinder	0.04717
clicker	0.0470637
moron	0.0470393
bitch	0.0470205
"Julius Francis"	0.0468134
overachiever	0.046766
Kurd	0.0466663
dummy	0.0466043
"natural ability"	0.0461039
doorbell	0.0457796
tummy	0.0457665
"black person"	0.0455718
"life preserver"	0.0455458
here.	0.0454297
"cup of tea"	0.0451559
"fishing rod"	0.0449446
test-takers	0.0448442
picky	0.0445835
grown-up	0.0444443
wacko	0.0443487
"flower child"	0.0443043
"dollar sign"	0.0441939
hypocrite	0.0440493
"sounding board"	0.0439812
"world traveler"	0.0439134
"fall guy"	0.0437877
mommy	0.0435295
grandma	0.0435261
"waste of time"	0.0433135
seamstress	0.0431577
prognosticator	0.043136
Thong	0.0431344
nightgown	0.0429847
"frame of reference"	0.0428344
upsets	0.0427791
legit	0.0426592
buffoon	0.0426337
DEADBEAT	0.042631
temp	0.04251
nigger	0.0424758
"role player"	0.0424494
surfboard	0.0424023
whore	0.0423934
"guiding light"	0.0423553
"test pilot"	0.0422768
"draft dodger"	0.0422734
whiner	0.042004
"reaction time"	0.0419653
hang-up	0.0418937
dermatologist	0.0418125
FOP	0.0416216
riser	0.0415869
Rolex	0.0415739
techie	0.0414784
BMI	0.0413697
Hick	0.041338
wonk	0.0412601
paralegal	0.0411524
puncher	0.0410863
"good manners"	0.0410403
"professional golfer"	0.0410339
breadwinner	0.0409332
battler	0.0409332
trimmer	0.0409079
weatherman	0.0409002
fiend	0.0408958
chink	0.0407571
"young lady"	0.04061
"hot flash"	0.0405637
has-been	0.0405085
taskbar	0.0404363
stevedore	0.0404348
"vacuum cleaner"	0.0403649
"ball club"	0.0403383
coward	0.0403008
junkie	0.0402309
grandchild	0.0401213
"jumping up and down"	0.0401063
noggin	0.0401039
impostor	0.040039
"little sister"	0.0400183
))
("booby trap" (desc 3306.52) (sims
"explosive device"	0.170073
"land mine"	0.145183
"hand grenade"	0.138156
ordnance	0.136783
detonator	0.133108
Grenade	0.132455
"pipe bomb"	0.131443
"cluster bomb"	0.120182
machine-guns	0.0959001
"time bomb"	0.0955725
mortar	0.0918605
landmine	0.0917998
"car bomb"	0.0904769
"plastic explosive"	0.0899775
landmines	0.0839336
"rocket launcher"	0.0807449
ammunition	0.0800398
sniper	0.0775193
flamethrower	0.0774798
munition	0.072095
conflagration	0.0699992
artillery	0.0692848
"chemical agent"	0.0686694
machineguns	0.068605
"Molotov cocktail"	0.0682252
dynamite	0.0640787
"automatic rifle"	0.0637299
launcher	0.0623414
"sawed-off shotgun"	0.0622431
timer	0.0613548
"atomic bomb"	0.0603235
"machine gun"	0.0592359
cannonball	0.0589561
firebomb	0.0584307
"military position"	0.0576653
"submachine gun"	0.0569182
bomblets	0.0558319
straggler	0.0547176
napalm	0.0536214
smelters	0.0530858
canister	0.0530285
detonation	0.0529093
"military installation"	0.0527236
silencer	0.0524476
mudslide	0.051749
"air-to-air missile"	0.0514758
firecracker	0.0514407
"neutron bomb"	0.0508118
gunfire	0.0504862
bombshell	0.0504441
"volcanic eruption"	0.0503317
roadblock	0.0500325
supplicant	0.0499111
"nerve gas"	0.048884
"coaxial cable"	0.0473183
snafu	0.0470136
microorganism	0.0468537
starvation	0.0466711
infiltrator	0.0464306
filth	0.04628
cataclysm	0.0459574
"surface-to-air missile"	0.0456251
smelter	0.0455922
gunpowder	0.0455683
machete	0.0452852
"heavy weapon"	0.0450337
"ammonium nitrate"	0.0449906
shotgun	0.0447776
projectile	0.0447413
"brush fire"	0.0447121
submersible	0.0446442
"alarm system"	0.0442059
tsunami	0.0441372
"mortar fire"	0.0441025
cudgel	0.0438197
"nuclear explosion"	0.0436449
weaponry	0.0435265
Borrego	0.0434578
Guerrouj	0.0432186
detector	0.0430688
"chain reaction"	0.0424942
"observation post"	0.04249
"Pan Am Flight @@@"	0.0424318
airstrike	0.0423187
flare-up	0.0421724
"hydrogen bomb"	0.0420341
"barbed wire"	0.0419578
banditry	0.0418919
contraband	0.0418355
"internment camp"	0.0417983
anthrax	0.0417432
slingshot	0.04173
temblor	0.0410616
"smoke alarm"	0.0409449
cryptosporidium	0.0407983
fireball	0.0407924
aftershock	0.0407807
"period piece"	0.0407571
"torture chamber"	0.0407263
biplane	0.0405278
"TWA Flight @@@"	0.0404211
windstorm	0.0403334
"toxic waste"	0.040151
"alarm bell"	0.0401084
))
(boogie (desc 3509.71) (sims
honky-tonk	0.0772855
calypso	0.0719105
"rock 'n' roll"	0.0694363
SKA	0.0685934
bumpkin	0.0681279
bluegrass	0.0679554
Reggae	0.0654155
"hypodermic needle"	0.0629382
uptempo	0.0627306
klezmer	0.0613252
"Tin Pan Alley"	0.0596263
merengue	0.058435
mambo	0.0569157
Zydeco	0.0561146
punchline	0.0556488
stylings	0.05217
"R&AMP;B"	0.0509679
Afro-Cuban	0.0508813
rumba	0.0483954
Cajun	0.0477106
ragtime	0.0472305
bop	0.0470854
Stackhouse	0.0466698
mariachi	0.0461579
mauve	0.0460522
polka	0.0454551
Funk	0.0453029
Hula	0.0434767
percussion	0.043166
Motown	0.0429841
"rock and roll"	0.0428239
"little hand"	0.0421248
fieldwork	0.0410559
riff	0.0405326
fascia	0.0405116
rock-and-roll	0.0401828
"big band"	0.040145
))
("Boogie Nights" (desc 3425.32) (sims
"Cruel Intentions"	0.100449
"High Art"	0.0977217
"L.A Confidential"	0.0951873
"Good Will Hunting"	0.0946646
"Saving Private Ryan"	0.0899144
Tootsie	0.0898588
Magnolia	0.0896204
"American Beauty"	0.0887004
"Cradle Will Rock"	0.0859448
"Titan A.E."	0.0852773
"Being John Malkovich"	0.0844019
"Opium War"	0.0826226
"Jerry Maguire"	0.0798482
"Forrest Gump"	0.0794502
"Eyes Wide Shut"	0.0789438
Pleasantville	0.078411
"Toy Story"	0.0755706
"Fight Club"	0.0750178
"Erin Brockovich"	0.0744215
ROUNDERS	0.0737721
"Varsity Blues"	0.0730102
stepmom	0.0719208
Jawbreaker	0.0717367
U-@@@	0.0712403
"Space Cowboys"	0.0707698
"Animal House"	0.0704145
"Pulp Fiction"	0.0702559
"Mighty Joe Young"	0.0678208
"Natural Born Killers"	0.0675964
"Blade Runner"	0.0673462
"Central Station"	0.0670219
Amistad	0.0657954
Antz	0.0651636
"Cider House Rules"	0.0650791
"True Thing"	0.064357
EdTV	0.063605
"Smoke Signals"	0.0634356
"Meet Joe Black"	0.0618936
"American Pie"	0.0615553
Trainspotting	0.061137
"Ideal Husband"	0.061131
Bulworth	0.0604406
"Austin Powers"	0.060417
"Stuart Little"	0.0599216
Selena	0.0598844
"Princess Mononoke"	0.0594775
Schindler	0.0593846
"Jurassic Park"	0.0590841
"Primary Colors"	0.0586928
"Citizen Kane"	0.0584479
Goodfellas	0.0582244
"feature film"	0.0567733
"Patch Adams"	0.0567393
Armageddon	0.0566554
"Little Voice"	0.056428
Amadeus	0.0559053
FARGO	0.0558304
"Velvet Goldmine"	0.0553287
"chicken run"	0.0552633
"Truman Show"	0.0550988
"Ballet Theater"	0.0548355
psycho	0.0545907
"Top Gun"	0.0538724
"high fidelity"	0.0534749
"Thin Red Line"	0.0533428
"Star Wars"	0.0533138
"Night Fever"	0.053075
"Pretty Woman"	0.0527792
Frankenstein	0.0524559
"Rugrats Movie"	0.0515261
Bowfinger	0.0514562
Nepa	0.0507459
"Royal National Theater"	0.0504019
affliction	0.0501541
Rushmore	0.0500822
dogwood	0.0495547
"snake eyes"	0.0494369
"Get Real"	0.0493408
"Usual Suspects"	0.0493187
azalea	0.0485428
Ronin	0.0485101
"wonder boy"	0.0482464
Evita	0.0476621
Mulan	0.0475727
Rhapsody	0.0475429
Gladiator	0.0473766
"sixth sense"	0.0467143
"Notting Hill"	0.0466722
sleeper	0.046615
Pinocchio	0.0465526
"Runaway Bride"	0.0464537
"Nurse Betty"	0.0462182
"Thomas Crown Affair"	0.0459768
desperado	0.0455682
pi	0.0455023
jaws	0.0446093
trilogy	0.0445259
Madeline	0.0443006
"Mickey Blue Eyes"	0.0438598
"Phantom Menace"	0.0437147
miniseries	0.0434198
"Dirty Dancing"	0.043306
ancients	0.0432091
"Perfect Storm"	0.0431252
Fermilab	0.0428148
E.T	0.0427924
"TV movie"	0.0425592
Waterboy	0.0425007
Godzilla	0.0423724
"Iron Giant"	0.0420441
"World Cups"	0.0419319
"Big Daddy"	0.0417151
"rear window"	0.0415725
"Peony Pavilion"	0.0412327
"Star Trek"	0.0409631
"Final Fours"	0.0409607
serial	0.0408538
Lolita	0.0407539
"pitch black"	0.0407524
"high noon"	0.0406137
Paulie	0.0405585
ragtime	0.0405221
"Happy Days"	0.0404062
swinger	0.0402663
"letter writer"	0.0401013
"theatrical production"	0.0400346
))
(book (desc 359608) (sims
novel	0.217462
film	0.177578
movie	0.16505
article	0.164296
story	0.164226
memoir	0.149718
collection	0.143733
textbook	0.141621
magazine	0.140311
document	0.140196
biography	0.135602
paper	0.135136
essay	0.133983
album	0.130664
cookbook	0.129688
page	0.127525
text	0.126399
work	0.125681
report	0.125328
video	0.123804
music	0.122102
publication	0.121078
show	0.120977
Song	0.120922
copy	0.120301
catalog	0.119927
autobiography	0.119557
manuscript	0.118491
letter	0.118435
item	0.118434
poem	0.118117
literature	0.117875
fiction	0.11748
writing	0.116775
material	0.11525
Bible	0.11423
diary	0.113769
edition	0.113428
photograph	0.112832
documentary	0.112594
CD	0.112039
painting	0.111936
series	0.111856
guide	0.111579
piece	0.110734
script	0.110418
toy	0.11023
study	0.109956
information	0.109948
art	0.109812
picture	0.108285
tale	0.107891
AD	0.107762
file	0.10728
product	0.105573
site	0.105561
column	0.105021
list	0.104458
Encyclopedia	0.103614
journal	0.103131
dictionary	0.10231
speech	0.102292
version	0.101432
history	0.100408
software	0.1004
program	0.0998108
exhibit	0.0994745
life	0.0990657
Computer	0.098491
Recording	0.0983737
poetry	0.0982983
note	0.0979207
account	0.0976992
brochure	0.0976394
manual	0.0976124
play	0.0975868
paperback	0.0972247
pamphlet	0.0965362
card	0.0964582
Exhibition	0.095552
"best seller"	0.0953427
"short story"	0.0947566
booklet	0.0943423
map	0.0941423
photo	0.0932877
poster	0.0932225
newspaper	0.0928648
thing	0.0926941
tape	0.0925798
merchandise	0.0923032
chapter	0.0922898
it	0.0919271
food	0.0916389
drama	0.0907809
word	0.0907174
tome	0.0906192
research	0.0895548
character	0.0894106
advertisement	0.0889754
box	0.0883042
image	0.0882515
newsletter	0.0882465
author	0.0881311
lecture	0.0877012
case	0.0873709
print	0.0872779
recipe	0.0871085
archive	0.0869902
commentary	0.0868957
record	0.0866501
cloth	0.0865323
notebook	0.08638
data	0.086375
Clothing	0.0863193
interview	0.0861221
one	0.0860578
translation	0.0860059
Anthology	0.0859077
message	0.085639
gift	0.0852945
narrative	0.0847256
database	0.0845445
design	0.0845065
cartoon	0.0844106
CD-ROM	0.0843084
feature	0.0839557
episode	0.083649
furniture	0.0835461
stuff	0.0832013
classic	0.0831981
opera	0.0830214
name	0.08285
statement	0.0828302
project	0.082748
service	0.0826532
guidebook	0.0825304
title	0.0824963
Entertainment	0.0821001
ticket	0.0820559
style	0.0820057
musical	0.0819925
drawing	0.0819571
comedy	0.0818284
something	0.0817127
calendar	0.0816592
detail	0.0815659
car	0.0812345
bill	0.0809815
performance	0.0809274
some	0.0808241
Screenplay	0.0807936
reading	0.0807113
idea	0.0806794
videotape	0.0803543
writer	0.0800572
language	0.0800536
stamp	0.0800134
event	0.0799491
library	0.0798965
wine	0.0797909
television	0.0794704
transcript	0.0794161
portrait	0.0791675
question	0.0791492
memorabilia	0.0789367
"video game"	0.0789192
testimony	0.0786845
tool	0.0786238
commercial	0.0785828
review	0.0784929
experience	0.0784034
jewelry	0.0783891
news	0.0783349
comment	0.078174
section	0.0781602
course	0.0779476
plan	0.0779458
artwork	0.0776602
this	0.0775136
sculpture	0.0775
machine	0.0768904
package	0.0768518
disc	0.0768284
volume	0.0767678
email	0.0762793
Internet	0.075894
class	0.0758512
goods	0.075726
model	0.0756685
object	0.0754828
store	0.0752785
issue	0.0751468
memo	0.0751426
doll	0.0750217
Advertising	0.0748271
description	0.0748088
"TV show"	0.0747545
sport	0.0747527
that	0.0747053
shoe	0.0745542
))
("book bag" (desc 1429.5) (sims
knapsack	0.11879
backpack	0.118617
"duffel bag"	0.11794
"paper cup"	0.101984
suitcase	0.0904931
"water jug"	0.0893332
satchel	0.0887127
holster	0.0851281
"sleeping bag"	0.082264
"tote bag"	0.0820838
briefcase	0.0813906
"water bottle"	0.0806916
"baseball glove"	0.0742814
"shopping bag"	0.0727457
"paper bag"	0.0718634
nightgown	0.0712171
"bowling ball"	0.0706711
luggage	0.0682339
"lawn chair"	0.0678345
clipboard	0.0651047
"hockey stick"	0.0636554
"yellow flag"	0.0621997
"two bags"	0.0596703
"fire extinguisher"	0.0596684
sidearm	0.0596259
"beach towel"	0.0590301
AK-@@	0.0585763
pillow	0.0583735
racquet	0.0580339
"sense of direction"	0.0578799
"rubber boot"	0.0571745
paintbrush	0.0571348
"life jacket"	0.056633
"dog tag"	0.0561992
spinnaker	0.0559626
rulebook	0.0557745
windbreaker	0.0557422
decal	0.0553664
"moving van"	0.0549628
spacesuit	0.0544639
"beer can"	0.0537045
jug	0.0532304
"grocery bag"	0.0525903
"piggy bank"	0.0525394
"petrol bomb"	0.0525165
pail	0.0524721
"Union Jack"	0.0520258
"fountain pen"	0.0520116
handbag	0.0518843
bullfighting	0.0514678
"white flag"	0.0512337
raincoat	0.0507991
"baseball cap"	0.0498573
"soda pop"	0.0496989
Thermos	0.0494903
canister	0.0493971
stub	0.0493689
"gas stove"	0.0490509
carbine	0.0488682
"first-aid kit"	0.0488019
"marriage license"	0.048691
"beer bottle"	0.0483395
motherboards	0.0478113
"candy bar"	0.0477354
"walking stick"	0.0475489
mockup	0.0473484
dresser	0.0473102
casing	0.0472157
Trudeau	0.047196
rosary	0.0469716
"more than @@@ pounds"	0.0469677
"order book"	0.0469265
"laundry detergent"	0.0468222
stroller	0.0464157
"boarding pass"	0.0463912
"tennis racket"	0.0462798
vial	0.0460243
musket	0.0458695
"ticket stub"	0.0458004
schoolwork	0.0457973
Swimwear	0.0457525
"cigarette butt"	0.0455784
band-aid	0.0454193
"ski mask"	0.0453684
millionth	0.0453584
sedation	0.045349
pouch	0.0450289
teapot	0.0450196
underbrush	0.0450099
"life raft"	0.0449946
"sprinkler system"	0.0449821
"fishing net"	0.0449005
binder	0.044848
"knockout punch"	0.0447216
"neck brace"	0.0444253
"hand grenade"	0.044413
"top hat"	0.0444077
barbell	0.0443183
duds	0.0442342
"life preserver"	0.0441446
"sled dog"	0.0439739
"wedding reception"	0.0438728
rubbish	0.0436321
hubcap	0.0436163
"first cup"	0.0435488
handkerchief	0.043482
"dorm room"	0.0433894
"coronary artery"	0.0431658
plumage	0.0430161
"trading card"	0.0429507
keg	0.0429379
"black flag"	0.0428032
sparkler	0.0427915
skyboxes	0.0423974
Poncho	0.0423955
"air filter"	0.0423319
anorak	0.04231
"Molotov cocktail"	0.0422652
fistful	0.0422123
bomblets	0.042112
armful	0.0417171
"fishing rod"	0.0417034
"submachine gun"	0.0414713
chalice	0.0414519
pint	0.041378
"baseball bat"	0.0412992
"cigarette lighter"	0.0411796
"seat belt"	0.0410101
"fur coat"	0.0409657
"membership card"	0.0409624
"slide rule"	0.0409512
toothbrush	0.0408178
"Todd Husak"	0.0408021
"wedding party"	0.0407873
"fortune cookie"	0.0403376
stapler	0.040295
"Ford Escort"	0.040148
flashlight	0.0401214
"Frenchman Laurent Jalabert"	0.0400291
))
("book jacket" (desc 2131.79) (sims
"dust jacket"	0.130891
"Sydney Opera House"	0.0973265
beekeeper	0.0776299
"mug shot"	0.0676993
"B&AMP;W"	0.0673701
snowboarder	0.0663126
"National Society"	0.0612072
pinup	0.0564705
"written material"	0.054636
"chicken wing"	0.0540065
"Joe Gibbs"	0.0535882
"weather map"	0.053135
"birth certificate"	0.0525817
"tree stump"	0.0520373
"chocolate cake"	0.0517987
PITTS	0.0509757
"Ricky Rudd"	0.0502102
"Lincoln Town Car"	0.050065
masthead	0.0482629
"Liberty Bell"	0.0460688
microfilm	0.0458898
"beer bottle"	0.04503
wristband	0.0444567
corkscrew	0.0440209
thumbnail	0.0440099
"slip of paper"	0.0438162
gavel	0.0435054
"Gianni Versace"	0.0426926
))
("book value" (desc 5400.77) (sims
"asset value"	0.179824
"market value"	0.150609
"purchase price"	0.14784
"face value"	0.131522
"earning per share"	0.125784
capitalization	0.113897
"operating budget"	0.113622
valuation	0.113373
"list price"	0.109353
earnings	0.0953349
write-down	0.0934696
savings	0.0911636
"selling price"	0.0906053
"retail price"	0.0876575
"operating cost"	0.0873396
"asking price"	0.084405
"pretax profit"	0.082635
"average cost"	0.0810759
"closing price"	0.0801142
divestment	0.0783376
"net income"	0.0751772
premium	0.0743725
p/e	0.0742516
"production cost"	0.0740864
"offering price"	0.0727091
profitability	0.0708148
"operating expenses"	0.0699579
"balance sheet"	0.0698389
"net profit"	0.0690133
"price tag"	0.0690086
PRICETAG	0.0681591
"body weight"	0.0668177
"pretax charge"	0.0659528
"sticker price"	0.0647516
"dividend yield"	0.0642283
"economic value"	0.0638386
"insurance premium"	0.0637188
"offer price"	0.0625617
"minimum wage"	0.0615629
dividend	0.0614857
"profit margin"	0.0609445
mutuel	0.0601139
NPLs	0.0595973
sum	0.0593521
"fire sale"	0.0593067
outlay	0.0589039
write-off	0.0587692
"take-home pay"	0.0583214
"production ceiling"	0.0582003
"interest expense"	0.057718
"service charge"	0.057711
"tax liability"	0.0573081
"national income"	0.0564046
payroll	0.0563991
endowment	0.0560926
"equity investment"	0.0558898
weighting	0.0555313
expenditure	0.0554753
"about $@@.@@"	0.0553161
"bid price"	0.0550215
capitalisation	0.0540592
"elephant population"	0.0539996
"annual payment"	0.0534486
"gross national product"	0.0527493
"revenue growth"	0.0523299
inventory	0.052258
"investment portfolio"	0.0522295
caseload	0.0519058
repayment	0.0518903
appropriation	0.0518772
"interest income"	0.0516955
"market share"	0.051533
Tonnage	0.0514683
"order book"	0.0512339
equity	0.0509825
"pretax loss"	0.0503822
"borrowing cost"	0.0502572
"export sale"	0.0501527
"market penetration"	0.0500574
"rate of inflation"	0.0498825
"gross income"	0.0496575
payout	0.0495827
enrolment	0.0491387
"labor cost"	0.0490729
"about @.@@ percent"	0.0488694
buyback	0.0487881
"less than @.@ percent"	0.0487607
backlog	0.0487582
repurchase	0.0486748
"retirement age"	0.0485597
"initial offering"	0.0484881
"bond offering"	0.0483181
subscription	0.0483105
liquidity	0.0479989
outflow	0.0479694
"mortgage rate"	0.0478936
"marketing cost"	0.0477839
"death benefit"	0.0476597
utilization	0.0474535
"cost structure"	0.0471861
"one million US dollars"	0.0469557
"more than @@@ million yuan"	0.046897
"property tax"	0.046671
"earnings growth"	0.0466216
"rate of growth"	0.0463911
divestiture	0.0463311
shortfall	0.0462972
"line of credit"	0.0462687
"about $@@@ billion"	0.0461622
"debt load"	0.0461306
GNP	0.046044
"growth prospect"	0.046038
markup	0.0457535
"bank rate"	0.0457161
"entrance fee"	0.0457067
"nearly $@ billion"	0.0455193
billing	0.0455038
enrollment	0.0454835
GDP	0.0450916
"Social Security benefit"	0.0449512
"endowment fund"	0.0448974
"debt service"	0.0448699
"B share"	0.0448262
"line of products"	0.0444313
disbursement	0.0442454
surcharge	0.0439837
"about $@@"	0.043903
"budget deficit"	0.0438168
"excise tax"	0.0436993
"capital stock"	0.0435695
"tax reduction"	0.0435259
co-payment	0.0435186
"stock split"	0.0434759
deductibles	0.0434131
"body temperature"	0.0433442
"key rate"	0.0432346
"one penny"	0.0430544
"more than @@@ million US dollars"	0.0430342
"cost overrun"	0.0428275
tranches	0.0428172
"credit line"	0.0426379
"debt payment"	0.0426283
"tender offer"	0.0425841
"capital gain"	0.0424424
"dollar amount"	0.0424271
"nearly one third"	0.0424229
rebate	0.0422207
"turnover rate"	0.0420674
"takeover offer"	0.0420513
"Twenty-five percent"	0.0418699
"interest payment"	0.041708
"more than @@ billion US dollars"	0.0416579
tranche	0.0415787
"population density"	0.041456
"electric bill"	0.041388
"financial condition"	0.0413549
"more than @ billion dollars"	0.0413172
"about $@"	0.0413068
lifespan	0.0412478
revaluation	0.0411148
payouts	0.0409957
"income tax"	0.040925
buyout	0.0408935
"capital expenditure"	0.040844
"Producer Price Index"	0.0406174
"working capital"	0.0405473
overvaluation	0.0402188
allotment	0.0401285
jackpot	0.0400222
"nest egg"	0.040013
))
(bookcase (desc 5848.68) (sims
bookshelf	0.164903
"coffee table"	0.142503
armoire	0.134914
drawer	0.118968
paneling	0.118942
"writing desk"	0.1178
"file cabinet"	0.111739
"rocking chair"	0.101877
sofa	0.0989732
shelf	0.0952345
armchair	0.0949808
closet	0.0934126
desk	0.0923929
"dining table"	0.0920895
cupboard	0.0881673
"filing cabinet"	0.0841708
"display case"	0.0812905
furniture	0.080069
stool	0.0790523
headboard	0.0785466
commode	0.0772833
refrigerator	0.0766988
dresser	0.0760349
"easy chair"	0.075452
easel	0.0753502
countertops	0.0752892
pedestal	0.0746297
flooring	0.0740104
vase	0.0737488
"card table"	0.0736452
"garbage can"	0.0732345
wainscoting	0.0727959
mantelpiece	0.0726009
"side chair"	0.0722494
woodwork	0.071528
"bunk bed"	0.0714356
sideboard	0.0707051
"conference table"	0.0703852
"medicine cabinet"	0.0692988
fireplace	0.0688466
bathtub	0.0674219
"trash can"	0.0658516
couch	0.0641791
rack	0.0640712
"wine cellar"	0.0638318
"French door"	0.0633637
lamp	0.0633422
trestle	0.0632617
staircase	0.0631436
"picture frame"	0.062951
outhouse	0.062156
"trash bin"	0.0609835
tub	0.0605761
floorboard	0.0605639
coffin	0.0602477
sarcophagus	0.0600073
blackboard	0.0596526
mantel	0.0595728
"grand piano"	0.0595164
"kitchen appliance"	0.059089
"window frame"	0.0589166
carpet	0.0586766
chandelier	0.0585867
stove	0.0583759
"hole in the ground"	0.0581143
Bin	0.0580452
cot	0.057015
ceiling	0.0568587
Dumpster	0.0566659
"phone booth"	0.0563767
Casket	0.0560874
freezer	0.055987
urn	0.0559275
cage	0.0557983
"summer house"	0.0555203
bathroom	0.0551333
carpeting	0.0549724
lectern	0.0548463
tile	0.0548368
garage	0.0546589
bedroom	0.0537777
chimney	0.0537619
armrest	0.0535675
quilt	0.053529
megaplexes	0.0534132
drawers	0.0533306
"lounge chair"	0.053298
pergola	0.0529545
flagpole	0.0529136
tabletop	0.0527117
railing	0.052669
briefcase	0.0526102
pail	0.0524859
scaffold	0.0524691
semicircle	0.0523555
"septic tank"	0.0523101
birdbath	0.0519459
planter	0.051572
"deposit box"	0.051539
Stairway	0.0515307
shutter	0.0514657
"stone wall"	0.0513372
mailbox	0.0513347
"piece of furniture"	0.0513273
"television set"	0.0510546
ashtray	0.0506346
suitcase	0.0505997
cubicle	0.0504549
mattress	0.0500773
"beer bottle"	0.0497682
"coffee cup"	0.049733
gazebo	0.0496769
spool	0.0496432
antique	0.049563
cylinder	0.0493329
"sailing vessel"	0.0491746
trunk	0.0491019
gutter	0.0490997
crib	0.0489683
rug	0.0485635
seawall	0.0479356
attic	0.0477776
hearth	0.0476955
"soda can"	0.0476948
stereo	0.04757
"entertainment center"	0.0474153
"CD player"	0.0473154
"duffel bag"	0.0471717
figurine	0.0470632
birdhouse	0.0469339
carport	0.0467876
"weather vane"	0.0467675
banquette	0.0466251
"dance floor"	0.04659
cottage	0.0464555
WINDOWSILL	0.0464034
pyramid	0.0463774
bleachers	0.0462666
"cream puff"	0.0460825
cellar	0.0460579
vas	0.0456746
storeroom	0.045302
"PLO Executive Committee"	0.0451268
"shower stall"	0.0450735
"grocery bag"	0.0450582
washer	0.0450019
manhole	0.0449227
tray	0.0449119
furnishings	0.0448346
cubby	0.044825
wallpaper	0.0447432
molding	0.0445767
"wall hanging"	0.044433
"fire wall"	0.0443541
atrium	0.0443086
"waiting room"	0.0441341
stacks	0.0441206
trellis	0.0441109
"gas stove"	0.0440733
"storage space"	0.0439973
walkway	0.0439191
"walking stick"	0.0437492
toilet	0.0436923
pagoda	0.0436599
"sailing ship"	0.0435643
terrace	0.0435461
"computer store"	0.0435337
Momma	0.0435007
attics	0.0434995
shredders	0.0433584
scrim	0.0433231
alcove	0.0430973
pew	0.0430663
"white line"	0.0430056
faucet	0.04298
"shopping cart"	0.0429598
bungalow	0.0429087
dryer	0.042755
"love seat"	0.0427222
Tables	0.0426861
"wine bottle"	0.0426318
joist	0.0425946
stair	0.0425311
fountain	0.0424868
"totem pole"	0.0424698
pantry	0.0424017
"phone book"	0.0423836
Dumpsters	0.0423615
siding	0.0423052
"swimming pool"	0.0422961
pillow	0.0421895
enclosure	0.0421863
latrine	0.0421527
waterworks	0.0419078
settee	0.0418502
compartment	0.0417813
"kitchen table"	0.041666
"picture window"	0.0414412
teapot	0.0414002
stairwell	0.0413895
))
(bookend (desc 5236.19) (sims
coda	0.0906152
"measuring stick"	0.0612855
prelude	0.0609549
epilogue	0.0530934
accoutrement	0.0528527
"guardian angel"	0.0524265
counterpoint	0.0508251
capstone	0.0500386
guidepost	0.0495946
"exclamation point"	0.0485813
adjunct	0.048573
denouement	0.0485152
symmetry	0.0481337
postscript	0.0480937
microcosm	0.04767
epitaph	0.0439197
outhit	0.0434879
"traffic cop"	0.0429807
"Twin Towers"	0.0427443
send-off	0.0427051
lead-in	0.041855
homecoming	0.0415993
obeisance	0.0408745
"dress rehearsal"	0.0406967
"sitting duck"	0.0406334
"soul mate"	0.0404663
"foster parent"	0.0400191
))
(booker (desc 4286.15) (sims
Pulitzer	0.0755578
Geiger	0.0751887
Tuggle	0.0674553
"Cornelius Bennett"	0.0669617
Arnett	0.0667542
"Antonio Langham"	0.0658591
Woodson	0.0657836
Graziani	0.0655392
Arrington	0.0654435
"Ray Buchanan"	0.0634828
Burrell	0.0621265
"Aeneas Williams"	0.0597024
Rabe	0.0596198
DJ	0.0593665
"Norman Lear"	0.059296
"April Oliver"	0.0582508
Gullit	0.0577369
cameramen	0.0575226
Nicol	0.0573682
"Tim Dwight"	0.0572941
Copeland	0.057181
Whitfield	0.0571052
Holdsclaw	0.056335
Fizer	0.0562218
Milken	0.0560914
"Ronnie Bradford"	0.0558991
Iverson	0.0557298
Blount	0.0547294
"Michael Booker"	0.054684
"Phil Donahue"	0.0546208
"Golden Bear"	0.0540715
Dixon	0.054016
Bradshaw	0.053808
Hagelin	0.0537066
Crocker	0.0534652
Gorter	0.0529192
Olowokandi	0.0525538
"disk jockey"	0.0520707
"Jenny Jones"	0.052018
Jelisic	0.0518757
McAlister	0.0518636
Tait	0.0518097
Underwood	0.0514955
Mashburn	0.0512021
Dunleavy	0.0508694
Sharpe	0.0508194
Rothenberg	0.0507859
scriptwriter	0.0507456
McNabb	0.0504827
Choate	0.0501507
"Michael Olowokandi"	0.0500664
Henley	0.0500079
Donohue	0.0498601
weatherman	0.0497577
"Champ Bailey"	0.0496575
Gutman	0.0495866
Clement	0.0492806
Ebert	0.0492468
Pearson	0.04902
McQueen	0.0489657
Dumas	0.048917
McLaughlin	0.0488682
Bennett	0.0488326
Spenser	0.0488306
Niedermayer	0.0487461
Borodin	0.0486637
Polynice	0.0484906
Rankin	0.0484395
Doherty	0.048406
Kazan	0.0483765
DeBerg	0.0482973
"Rick Pitino"	0.0479236
Irwin	0.0478138
Mauresmo	0.0476755
"Peter Arnett"	0.0475745
Blazevic	0.0475494
"talent agent"	0.0474853
WARRICK	0.0474122
presenter	0.0472763
Whalen	0.0472303
Kasparov	0.0471744
Fagan	0.0471104
Galvin	0.0470845
Ackerman	0.0469535
"Evening Standard"	0.0469023
Talebi	0.0467424
Arum	0.0466971
Mullin	0.0465711
"divorce lawyer"	0.0465376
Romanowski	0.0465093
"Perez Balladares"	0.0464875
"talking head"	0.0464741
anchorman	0.0464023
Holloway	0.046389
"Andre Wadsworth"	0.0462299
Aoki	0.0461532
Lurie	0.0461211
Druckenmiller	0.0458436
jacoby	0.0458047
Solich	0.0457884
Faulk	0.0456966
Selznick	0.0456303
Keegan	0.0455852
Neilson	0.045538
Nobel	0.0454761
Cronin	0.045455
Dwight	0.0453673
clicker	0.0453617
Calhoun	0.0452512
Bradford	0.0451515
Cassell	0.0449574
"Chris Gomez"	0.0449134
Nakata	0.0448697
Donnan	0.0447754
Loretta	0.0447382
Crichton	0.044726
Esposito	0.044721
Sheehan	0.0447088
Wheatley	0.0446974
"weather forecaster"	0.0446883
Snider	0.0445552
Osborne	0.0443676
Metcalf	0.0443392
Elliott	0.0443369
Sassa	0.0441782
"ad blitz"	0.0441675
Fleischer	0.0441553
Chastain	0.0440949
Slocum	0.0440891
Katzenmoyer	0.0440848
"Jessie Tuggle"	0.044083
Canseco	0.0439836
Rutledge	0.0438833
"Southwestern Bell"	0.0438557
Greenwald	0.0438213
Nguyen	0.043728
Bautista	0.043715
Tomlinson	0.0436995
interviewer	0.0436377
Brisby	0.0435186
Hamid	0.0434629
Schindler	0.0433268
Cormier	0.0431995
cameraman	0.0431567
Ammiano	0.0431559
Vasquez	0.0431523
CORYATT	0.0431191
"Manny Malhotra"	0.0431125
bigwig	0.0430506
Demaci	0.0430472
Burnett	0.0429666
"Pat Burrell"	0.0429278
co-creator	0.0429089
Wiggins	0.0428932
Williamson	0.0428873
Menuhin	0.0428687
BOC	0.0428477
Iger	0.0428341
Karimov	0.0428256
Hagen	0.0427522
Henson	0.0426817
Seaver	0.0426563
Judd	0.0426091
Higgins	0.0425864
Marulanda	0.0425668
Cianci	0.0424468
Moreno	0.0423851
Mathis	0.042373
Hwang	0.0423611
McGuinness	0.0423548
Kuehne	0.0423531
Marchand	0.04231
kc	0.042258
Troussier	0.0422442
Lai	0.0422323
ROMNEY	0.0421958
"John Grisham"	0.0421691
Proctor	0.0421565
Hootie	0.0420042
"Jason Sehorn"	0.0419813
Keady	0.0419698
Alatas	0.0419494
"Kevin Smith"	0.0418758
Harrell	0.0418554
Milbury	0.041811
Toysmart	0.0417969
Zarb	0.0417842
"Murphy Brown"	0.0416392
Patterson	0.0416218
Kreuter	0.0415852
"Tom Lehman"	0.0415783
INEC	0.0415549
Vogel	0.0414014
Hendrick	0.0414002
"Joan Rivers"	0.0413445
CSC	0.0413281
Tomey	0.0413191
Philbin	0.0412988
fowler	0.0412809
"Dusty Baker"	0.0412252
))
(bookie (desc 4238.15) (sims
bookmaker	0.221976
oddsmakers	0.14373
gambler	0.0778829
"loan shark"	0.0767366
"gambling casino"	0.071941
bettor	0.0667278
panhandler	0.0665189
betting	0.0626217
politico	0.0604873
"Crystal Palace"	0.0594251
stuntman	0.0582455
"game of chance"	0.0553227
handicapper	0.0541367
chiropractor	0.052594
poker	0.0516415
worrier	0.0514023
jeweler	0.0513041
"electrical device"	0.0512393
"wise guy"	0.0510214
showgirl	0.0508066
shipowner	0.0506613
"foster mother"	0.0505275
"police sergeant"	0.0504656
balloonist	0.0501447
Revue	0.0499158
Calvary	0.0497038
gangster	0.0486527
"travel agent"	0.0481266
racketeer	0.0477909
"important person"	0.0477367
headhunter	0.0476898
Shayler	0.047644
plumber	0.0472946
"pass catcher"	0.0469908
"newspaper publisher"	0.0469228
"brook trout"	0.0467774
"letter writer"	0.0467283
logger	0.0466199
pickpocket	0.0466172
thespian	0.0465977
mobster	0.0463626
batsmen	0.045974
blinker	0.0459382
"secret agent"	0.0458479
"newspaper editor"	0.0457522
"altar boy"	0.0451759
footballer	0.045015
roofer	0.0448268
gentry	0.044752
"advertising agency"	0.0446533
gung-ho	0.0446514
dowel	0.0443171
telemarketers	0.0442346
stockbroker	0.0441153
pimp	0.044106
pundit	0.044008
cabbie	0.0437183
literati	0.0434079
taster	0.0434035
"traffic cop"	0.0433163
"slot machine"	0.0433131
"I.K Gujral"	0.0432378
"minor-league team"	0.0432001
"naval officer"	0.0430838
mugger	0.0430148
Houdini	0.042981
Kazhegeldin	0.0428874
"Brian Moehler"	0.0428559
"base runner"	0.042831
Postmaster	0.0427318
Kimeses	0.042534
tailwind	0.0424436
cricketer	0.0422652
Realtor	0.0421928
grocer	0.0421115
florist	0.0420727
snakehead	0.0420001
hotel-casino	0.0419136
Kicker	0.041895
hermit	0.041875
Fulham	0.0417595
handicappers	0.0416988
hotelier	0.0414816
"currency trader"	0.0414753
Intimidator	0.0414022
"Oba Carr"	0.041373
vaulter	0.0413013
newspaperman	0.0411334
wrongdoer	0.0410665
crazies	0.0410019
Salemme	0.0409275
"Richard Burns"	0.040921
robber	0.0408543
philanthropist	0.0408431
exterminator	0.0408267
cameraman	0.0408165
cartoonist	0.0408142
bullfighter	0.0405922
"futures trading"	0.0405878
"maintenance man"	0.0405329
"stock trader"	0.0403404
"private eye"	0.0403276
informant	0.0403249
"first pitcher"	0.0403227
nobleman	0.0402748
cheater	0.0402658
"word meaning"	0.0402091
vandals	0.0401203
crewman	0.0401165
goal-scorer	0.0400774
functionary	0.0400349
"opera company"	0.0400235
))
(booking (desc 20262.4) (sims
fare	0.100268
"retail sale"	0.0994754
"occupancy rate"	0.094311
ticket	0.0891008
reservation	0.087249
travel	0.0870395
sale	0.0857114
sales	0.0813168
billing	0.080951
registration	0.0800768
receipt	0.0789483
enrollment	0.0770754
"operating cost"	0.0766301
ridership	0.075964
transaction	0.0758495
subscription	0.075151
occupancy	0.0738631
"domestic flight"	0.0735808
shipment	0.0733825
refund	0.0731464
rental	0.0728774
spending	0.0722671
remittance	0.0721949
delivery	0.0720244
revenue	0.0719742
"tax collection"	0.0718535
"truck sale"	0.071162
traffic	0.0708427
buying	0.0705994
lending	0.0701541
banking	0.0700923
"air travel"	0.069239
shopping	0.0692261
"factory order"	0.0692258
"home sale"	0.0689999
Advertising	0.0688769
borrowing	0.0684006
first-class	0.0683936
financing	0.0678958
"vehicle sale"	0.0678302
"net income"	0.0674895
profit	0.0666381
profitability	0.066583
payment	0.0662167
"round trip"	0.0660631
inventory	0.0652274
airfare	0.0652196
Fares	0.0651912
"tax revenue"	0.0648128
attendance	0.0644475
flow	0.0642815
fee	0.0642595
"market share"	0.0641494
"earnings growth"	0.0638975
"operating expenses"	0.0635656
"consumer demand"	0.0633158
procurement	0.0632689
viewership	0.0632364
sponsorship	0.0631157
"export sale"	0.0628092
"earning per share"	0.0627135
deposit	0.0626046
trading	0.0625067
distribution	0.062503
inflow	0.0624632
"gas price"	0.0623921
"international flight"	0.0622619
IPO	0.0621509
expenditure	0.0618231
"trading activity"	0.0616872
shipping	0.0616067
flight	0.0614618
earnings	0.0614115
employment	0.061288
"housing sale"	0.0609914
disbursement	0.0609598
fatality	0.0607346
transportation	0.0600981
"revenue growth"	0.0600601
"plane ticket"	0.0598294
Orders	0.0596424
boarding	0.0596301
productivity	0.0596121
volume	0.0593541
"bond price"	0.0591431
referral	0.059061
outlay	0.0590334
traveler	0.0589324
"rate of inflation"	0.058735
Promotion	0.0584084
discount	0.0584036
coupon	0.0582176
application	0.05816
payroll	0.0580585
"pretax profit"	0.0580068
"oil production"	0.0579513
"data processing"	0.0579496
turnout	0.0578313
"unemployment rate"	0.0576997
"production cost"	0.0574828
"consumer price index"	0.0571559
rebate	0.0571038
"profit margin"	0.057077
viewing	0.0569276
"medicare payment"	0.0568368
marketing	0.0568289
pricing	0.0567754
tourism	0.056662
"information service"	0.0566339
donation	0.056542
"net profit"	0.0565081
"labor cost"	0.0562761
"personal income"	0.0561136
saving	0.0560051
selling	0.0558392
caseloads	0.0557796
consumption	0.0557652
commerce	0.055581
income	0.0555654
postage	0.0554352
usage	0.0554097
accommodation	0.0553368
bidding	0.0551127
"asset value"	0.0550373
premium	0.0549603
auction	0.0547701
funding	0.0546345
planning	0.0545445
"insurance premium"	0.0545279
passenger	0.0543734
wager	0.0543242
lodging	0.0542457
"Producer Price Index"	0.054074
expense	0.0540196
allocation	0.053998
merchandise	0.0538799
printing	0.0535362
"growth rate"	0.0535281
"borrowing cost"	0.0535243
"money supply"	0.0534661
retailing	0.0533526
listing	0.0532479
"voter turnout"	0.0531997
throughput	0.0531753
maintenance	0.0531101
recruitment	0.0530229
capitalization	0.0529968
"oil price"	0.0528855
parking	0.0528461
"bond trading"	0.0528285
"property tax"	0.052671
"travel plan"	0.052603
tourist	0.052565
caseload	0.0524978
airline	0.0524617
"selling price"	0.0523292
subscriber	0.0523023
taxation	0.052262
"venture capital"	0.0522579
"customer service"	0.0522573
refining	0.052088
surcharge	0.0520817
forwarding	0.0520022
"market value"	0.0520016
"crime rate"	0.0519299
"poverty rate"	0.0518872
visa	0.0518782
"bankruptcy filing"	0.0518595
concierge	0.0517409
rainfall	0.0517273
output	0.0517167
"interest payment"	0.0515303
arrival	0.0514844
destination	0.0513157
communication	0.0512726
"phone service"	0.0511058
cancellation	0.0511006
turnover	0.0509983
navigation	0.0509615
"gross income"	0.0509093
harvest	0.0508978
valuation	0.0508141
itinerary	0.0506724
offering	0.050536
"national income"	0.0505353
rating	0.0504498
"securities trading"	0.0503873
"cost cutting"	0.0503325
logistics	0.0503198
"business activity"	0.0503054
clearance	0.0502237
wage	0.0501915
workforce	0.0501193
"mortgage rate"	0.0501164
escrow	0.0501111
cargo	0.0501037
membership	0.0500622
"trade deficit"	0.0500055
"inflation rate"	0.0499739
"long-distance call"	0.0499232
))
("booking agent" (desc 1083.36) (sims
"union representative"	0.0975491
"drama critic"	0.0845114
scriptwriter	0.0717439
"theater ticket"	0.0712629
"aerospace giant"	0.0695625
"press agent"	0.0656826
"sparring partner"	0.0633795
"musical group"	0.0618077
"purchasing agent"	0.0586599
deejays	0.0580796
"John Collins"	0.0575824
botanist	0.0575409
kingmaker	0.0565347
bagpiper	0.055762
Eco-tourism	0.0557326
protectorate	0.0552823
"boarding house"	0.055169
"repertory company"	0.0545836
concertgoers	0.0526793
scoutmaster	0.0524608
"talent scout"	0.0519605
alderman	0.0506653
brogue	0.0506611
"Boeing company"	0.0505116
"bank vault"	0.0500291
pharmacologist	0.050014
"Allied Pilots Association"	0.0492152
"physical therapist"	0.0488307
"business editor"	0.0484411
"New York City Police Department"	0.0482937
masseuse	0.0464722
"breathing space"	0.0462857
"Daryl Johnston"	0.0454231
matchmaker	0.0452665
newspaperman	0.0452058
beachhead	0.0447393
"newspaper editor"	0.0446402
"chamber orchestra"	0.0444187
palliative	0.0440894
TT	0.0435602
musicologist	0.04347
capacity-building	0.0434502
impresario	0.0434442
sherpas	0.0432761
confidante	0.0432338
"Lou Dobbs"	0.0430988
cellmate	0.0430451
"trucking industry"	0.0430375
"computer expert"	0.0429909
"newspaper publisher"	0.0429127
"police sergeant"	0.0426733
"Bob Arum"	0.0425929
"investment adviser"	0.0424194
"interior decorator"	0.0423144
lawman	0.0422417
dealmaker	0.0421565
"trial attorney"	0.0420173
"math teacher"	0.0419825
acrobat	0.0419486
mezzo-soprano	0.0416952
"Goran Persson"	0.0416597
"divorce lawyer"	0.0416422
"partner in crime"	0.0416184
voiceover	0.0416064
panhandler	0.0415646
feeler	0.0414668
mien	0.0413172
soaking	0.0411878
"music critic"	0.0411708
franchisees	0.0411197
cabbie	0.0410446
"No. @s"	0.0409131
"morale booster"	0.0404815
Hatfield	0.0401666
"community newspaper"	0.04004
))
(bookkeeper (desc 5826.75) (sims
accountant	0.140764
receptionist	0.135734
paralegal	0.134766
electrician	0.129696
copywriter	0.113328
housekeeper	0.112996
stockbroker	0.10985
clerk	0.0997708
janitor	0.0965579
salesman	0.0942741
schoolteacher	0.0935324
"mechanical engineer"	0.0930478
"management consultant"	0.0921382
"account executive"	0.0912772
cashier	0.0895441
librarian	0.0889357
"computer programmer"	0.0888442
waitress	0.0871571
mechanic	0.085001
"investment banker"	0.0846323
handyman	0.0844004
stewardess	0.0837323
"social worker"	0.083282
seamstress	0.0829887
"English teacher"	0.0828764
"truck driver"	0.0826743
stuntman	0.081471
plumber	0.0808217
"financial officer"	0.0806661
supervisor	0.0786166
organist	0.0783286
"bus driver"	0.0781806
welder	0.0779071
auditor	0.0772203
infantryman	0.0771922
bricklayer	0.0764734
beautician	0.0764247
"sales manager"	0.0762468
"real estate agent"	0.0762162
"math teacher"	0.0756726
"real estate broker"	0.0755497
"investment adviser"	0.0749021
roofer	0.0747601
intern	0.074751
"baseball coach"	0.0743536
"insurance agent"	0.0742359
"electrical engineer"	0.073701
technician	0.0732519
"maintenance man"	0.0728531
teller	0.0727714
Gangelhoff	0.0722616
"pitching coach"	0.0721613
"copy editor"	0.0720524
"security guard"	0.0719049
custodian	0.0708751
"disc jockey"	0.0700537
treasurer	0.0698767
"certified public accountant"	0.0697479
carpenter	0.0696495
chemist	0.0695967
"stage manager"	0.0693765
pharmacist	0.069238
firefighter	0.0690304
maid	0.0689887
veterinarian	0.0688353
publicist	0.0687619
cameraman	0.0687572
weatherman	0.0682775
"altar boy"	0.0680686
foreman	0.0673806
hairdresser	0.0670956
"law partner"	0.0670791
homemaker	0.0670591
instructor	0.066932
Programmer	0.0668698
lecturer	0.0666116
"staff sergeant"	0.0664761
"school teacher"	0.0662706
Postmaster	0.0661659
"general counsel"	0.0658958
lifeguard	0.0657182
"school principal"	0.0656505
bellhop	0.0655427
therapist	0.065298
administrator	0.0650682
tutor	0.0650655
housewife	0.0649876
"day laborer"	0.0649588
counselor	0.0648193
lobbyist	0.0647847
sportswriter	0.0647608
apprentice	0.0640911
co-owner	0.063935
landscaper	0.0638984
waiter	0.0638816
helper	0.0638523
planner	0.0635668
"house painter"	0.0634531
batboy	0.062712
chauffeur	0.0625614
bartender	0.0625385
"lieutenant colonel"	0.0622679
nanny	0.0622173
caddie	0.0620935
newspaperman	0.0617474
"naval officer"	0.0617035
"Black Panther"	0.0615475
CPA	0.0613601
"intelligence officer"	0.0610819
"civil engineer"	0.0610622
"police sergeant"	0.0609735
"factory worker"	0.0609623
dentist	0.0608963
archivist	0.0606532
"aerospace engineer"	0.0606478
housemaid	0.0601416
"private investigator"	0.0600534
"football coach"	0.0600461
"flight attendant"	0.0599299
"project manager"	0.059813
"school superintendent"	0.0595747
saleswoman	0.0593733
"chief operating officer"	0.0591273
understudy	0.0589265
"English professor"	0.0587579
"chief financial officer"	0.0585246
"computer expert"	0.0584883
illustrator	0.0581942
translator	0.0581583
"basketball coach"	0.0579324
"intelligence analyst"	0.0579128
fireman	0.057344
newsman	0.0573147
babysitter	0.0572535
bodyguard	0.0572443
appraiser	0.0569625
"managing editor"	0.0568725
valedictorian	0.0567522
chiropractor	0.0563893
"interior designer"	0.0563327
fisherman	0.0563316
"senior vice president"	0.0561377
confidante	0.0557554
attendant	0.0557281
superintendent	0.0556574
Seaman	0.0555967
medic	0.0553705
claimer	0.0553441
"executive secretary"	0.0551869
"registered nurse"	0.0551176
actuary	0.0550097
busboy	0.0550044
breadwinner	0.054962
messenger	0.0548903
laborer	0.054444
internist	0.0543439
Litigator	0.0542072
educator	0.0541097
"information officer"	0.0539772
secretary-treasurer	0.053803
"postmaster general"	0.053676
"air force officer"	0.0536419
"art director"	0.053328
"telephone operator"	0.0531478
proprietor	0.0531333
bureaucrat	0.053074
recruiter	0.0528741
"senior executive"	0.052832
interpreter	0.0527642
"physical therapist"	0.0526232
"bond trader"	0.0524788
"sports editor"	0.0524059
groundskeeper	0.0523058
"test pilot"	0.0522667
assemblyman	0.0522227
rector	0.0522106
trainee	0.0521743
ghostwriter	0.0520288
"software engineer"	0.0519251
"graphic artist"	0.0517843
pianist	0.0516544
businesswoman	0.0515547
speechwriter	0.0515435
governess	0.0513214
surgeon	0.0512654
neurosurgeon	0.0511387
"music director"	0.0509872
"law student"	0.0508161
psychologist	0.0507978
"purchasing agent"	0.0507732
"union representative"	0.050647
second-in-command	0.0505673
"top executive"	0.0504837
"Navy Seal"	0.0504218
paraplegic	0.0504028
"decision maker"	0.0503997
"director of research"	0.0503772
restaurateur	0.0503394
controller	0.0503315
"network administrator"	0.0502339
))
(bookkeeping (desc 5064.14) (sims
record-keeping	0.150177
accounting	0.140019
housekeeping	0.132467
"quality control"	0.0955297
babysitting	0.0946747
"computer programming"	0.0940777
billing	0.092869
"back office"	0.0837519
refereeing	0.0825558
maintenance	0.0790838
scheduling	0.0787619
"data entry"	0.078469
"data processing"	0.0780842
umpiring	0.076675
"customer service"	0.0748031
paperwork	0.074308
"word processing"	0.0728467
fielding	0.0716789
PR	0.0713442
editing	0.0708148
"accounting system"	0.0699322
"internal control"	0.0688251
coding	0.0679526
sanitation	0.0674185
"tax collection"	0.0657833
tackling	0.0657129
public-relations	0.0656042
filtering	0.065581
pricing	0.0646777
hedging	0.0646439
Encryption	0.0639345
invoice	0.0637656
grading	0.0635732
reporting	0.0634013
telemarketing	0.0621261
"tax avoidance"	0.062073
automation	0.0618248
typing	0.0609496
"teaching method"	0.0599956
synchronization	0.059823
governance	0.0598042
composing	0.059539
phonics	0.0589074
workmanship	0.0586638
"tax shelter"	0.0585785
documentation	0.0581706
oversight	0.0581299
warehousing	0.0580948
engineering	0.0580584
"performance evaluation"	0.0580313
"information gathering"	0.0574443
identification	0.0572626
mammography	0.0571514
"inventory control"	0.0571027
navigation	0.0570361
imaging	0.0568461
accountancy	0.0568133
spelling	0.0566678
carpentry	0.056303
punctuation	0.0562528
pollination	0.0561063
hygiene	0.0559888
"detective work"	0.055758
"medical practice"	0.055733
"problem solving"	0.0556034
"legal representation"	0.0555196
"computer application"	0.055399
grammar	0.0553539
logistics	0.0552992
procurement	0.0552275
Indexing	0.055208
childcare	0.0551482
sensing	0.0550513
evaluation	0.0545315
suction	0.054266
zoning	0.0540412
Filtration	0.054013
"insider trading"	0.0539943
surveillance	0.0539377
forecasting	0.0534953
"tax policy"	0.05341
"sleight of hand"	0.0531412
"city planning"	0.0529909
penmanship	0.0528167
modeling	0.0527004
nutrition	0.052559
enforcement	0.0525483
"moral hazard"	0.0524676
amplification	0.0524391
"decision making"	0.0518979
authentication	0.0514137
accountability	0.051367
"urban planning"	0.0509372
"window dressing"	0.0508165
"birth control"	0.0507567
tailoring	0.0506328
marksmanship	0.050606
remuneration	0.0505259
"social welfare"	0.0503719
recruitment	0.0503384
"child care"	0.0500145
"expense account"	0.0500043
"account statement"	0.0498302
nursing	0.0496794
browsing	0.0496341
networking	0.0496074
dictation	0.0495175
"public speaking"	0.0494716
lawmaking	0.049441
translation	0.0493827
wiring	0.0493718
"global positioning system"	0.0493672
packaging	0.0493496
compression	0.0493133
officiating	0.0490702
lifesaving	0.0490699
play-calling	0.049052
"tax return"	0.0488564
transcription	0.0487945
coaching	0.0486609
morals	0.0481857
consultancy	0.0481717
"trial and error"	0.048114
curriculum	0.0480723
BLUETOOTH	0.0479724
conditioning	0.0479641
accreditation	0.047955
"Social Security number"	0.0478676
"solar power"	0.0476535
computing	0.0476049
"common law"	0.0475677
ID	0.0474957
barter	0.0472669
taxation	0.0472383
"Windows CE"	0.047217
"hospital care"	0.0471951
provenance	0.0471896
"sewage disposal"	0.0471078
counterintelligence	0.0470313
connectivity	0.0470172
patronage	0.0469874
math	0.0469691
jamming	0.0468558
"face saving"	0.0467831
"information system"	0.0467234
"number crunching"	0.0466503
irrigation	0.0465836
BoT	0.0465175
measurement	0.046289
"medical care"	0.0460623
drainage	0.0460399
"garbage disposal"	0.0459374
ultrasound	0.0458404
"computer hardware"	0.0458047
"social insurance"	0.0456567
multimedia	0.0455115
"human factor"	0.0453315
mailings	0.045308
special-teams	0.0451811
"financial statement"	0.0450869
stethoscope	0.0450617
"physical therapy"	0.04499
"crowd control"	0.0449094
cleaning	0.0448843
"health check"	0.044805
rudder	0.0446861
sonar	0.0446416
manipulation	0.0445042
GPS	0.0444067
WebTV	0.0443676
apportionment	0.0442673
fulltime	0.0442545
notary	0.0442441
sterilization	0.0441355
configuration	0.044129
nuts-and-bolts	0.0441242
arithmetic	0.0440896
"electronic communication"	0.0440374
mapping	0.0440137
scouting	0.0439313
reforestation	0.0439172
"family planning"	0.0438162
signaling	0.0437936
CE	0.0436577
"information service"	0.0436179
booking	0.0435907
printing	0.0435768
"two key"	0.0434376
triage	0.0433267
"safety standard"	0.0432164
teamwork	0.0431911
sampling	0.0430938
arm-twisting	0.0429146
informatics	0.0428205
disposal	0.0427384
filing	0.0427356
"fire alarm"	0.042687
"management style"	0.0426531
husbandry	0.0425311
"sales promotion"	0.0423871
))
(booklet (desc 16248.6) (sims
pamphlet	0.191885
brochure	0.185611
catalog	0.127985
leaflet	0.127093
guidebook	0.119988
manual	0.116863
handbook	0.112174
guide	0.102999
newsletter	0.101373
cookbook	0.100513
catalogue	0.0918161
postcard	0.09055
flier	0.0892739
workbook	0.0888308
transcript	0.0877493
questionnaire	0.0874377
packet	0.0874211
memo	0.0873204
dictionary	0.0871081
tome	0.0859391
prospectus	0.0845682
poster	0.0842738
CD-ROM	0.0825038
Encyclopedia	0.0823784
map	0.0813909
"application form"	0.0811541
document	0.0806595
Circular	0.0796998
essay	0.0793127
Anthology	0.0784853
appendix	0.0784026
publication	0.0783343
copy	0.0779356
kit	0.0777977
bulletin	0.0769884
page	0.0768121
directory	0.0765611
"newspaper ad"	0.0759873
notebook	0.0756927
glossary	0.0755042
handbill	0.0754223
"cassette tape"	0.0751607
text	0.074708
sheet	0.0746327
DVDs	0.0744622
"white paper"	0.0741457
textbook	0.0732004
dossier	0.0724505
monograph	0.0721522
article	0.0719679
"reference book"	0.0718982
paperback	0.0717793
card	0.0714168
edition	0.071059
photograph	0.0709824
"newspaper column"	0.0708918
video	0.0706194
printout	0.0705497
memorandum	0.0701229
"legal brief"	0.0698006
envelope	0.0697542
cassette	0.0697189
folder	0.0695843
chart	0.0691864
autobiography	0.0689987
summary	0.0689404
"magazine article"	0.0687591
letter	0.0677082
"business card"	0.0676548
"reference work"	0.0674636
"new edition"	0.0669565
manifesto	0.0666588
reprint	0.0660642
periodical	0.0653648
"sheet music"	0.0651393
journal	0.0649006
Atlas	0.0648208
excerpt	0.0647087
"order form"	0.0643121
yearbook	0.0642875
poem	0.0640032
Compendium	0.0639029
compilation	0.0638427
photo	0.0637467
"yellow pages"	0.0636267
manuscript	0.0634648
CD	0.0633817
"proxy statement"	0.0632195
"comic book"	0.0630267
"news release"	0.0623407
worksheet	0.062299
literature	0.0622109
stamp	0.0619618
videotape	0.0619235
magazine	0.0615197
afterword	0.0615111
"phone book"	0.060956
advertisement	0.0609296
"official document"	0.0608123
disc	0.0607965
calendar	0.0606368
Bible	0.0599673
"newspaper advertisement"	0.0598192
biography	0.0598017
mailings	0.0597585
diary	0.0596822
commentary	0.0596817
chronology	0.0593463
photocopy	0.0591539
almanac	0.059113
"open letter"	0.0590321
database	0.059007
documentation	0.0587096
"press release"	0.0586812
audio	0.0585893
certificate	0.05857
"compact disk"	0.0584973
scrapbook	0.0584597
"tax form"	0.058424
lecture	0.0578491
"greeting card"	0.057842
album	0.0578095
Sidebar	0.0577118
"progress report"	0.0574756
tape	0.0574694
"short story"	0.056958
encyclical	0.0569215
"report card"	0.0568565
"compact disc"	0.0568251
"legal document"	0.0565367
"sheet of paper"	0.0564679
coupon	0.056347
disk	0.0562517
sticker	0.0557347
"piece of paper"	0.0555789
"financial statement"	0.0547977
sketch	0.0547681
"floor plan"	0.0546917
guideline	0.0542961
"written material"	0.0542455
HARDCOVER	0.0541358
"promotional material"	0.0539817
"medical report"	0.0538545
listing	0.0537325
memoir	0.0532863
cartoon	0.0531404
"picture book"	0.0524755
T-shirt	0.0524174
"postage stamp"	0.0524137
"baseball card"	0.0522946
blueprint	0.0521726
"newspaper article"	0.0520446
affidavit	0.0520398
drawing	0.0518113
sidebars	0.0515881
"medical record"	0.0514342
Exhibition	0.0514102
VCDs	0.0514046
"newspaper clipping"	0.0513792
"tool kit"	0.0511689
condom	0.0511555
menu	0.0510856
"identity card"	0.0510126
instruction	0.0508481
"source code"	0.0507813
illustration	0.0506673
plaque	0.0506006
binder	0.0503559
tutorial	0.050348
"boarding pass"	0.0502428
Website	0.0501051
"credit report"	0.0500927
seminar	0.0500149
passport	0.0497588
rebuttal	0.0496976
wristband	0.0496894
obituary	0.0494857
checklist	0.0493461
placard	0.0492857
syllabus	0.0489911
"coffee mug"	0.0489489
"literary work"	0.0489221
treatise	0.0488265
reissue	0.0487975
"Secretary General Boutros Boutros-Ghali"	0.0482585
clipping	0.0482131
editorial	0.0482109
"slip of paper"	0.0480585
caption	0.0480547
recipe	0.0480023
script	0.0477334
overview	0.0477132
"news article"	0.0477036
novella	0.0475187
paragraph	0.0474663
"documentary film"	0.0474097
graphics	0.0472866
Coin	0.0472124
audiotape	0.0471577
missive	0.0471173
))
(bookmaker (desc 8187.44) (sims
bookie	0.221976
oddsmakers	0.129232
"drug trafficker"	0.0659434
"drug dealer"	0.0591004
businessman	0.0565579
smuggler	0.0564426
"loan shark"	0.0551525
gambler	0.052443
"Millennium Dome"	0.0524332
"drug lord"	0.0520018
"gambling casino"	0.0510912
tailwind	0.050137
trafficker	0.0501293
"travel agent"	0.0497144
informant	0.0495952
"real estate developer"	0.0492802
"trust account"	0.049173
hustler	0.0484795
prostitute	0.0483776
"family doctor"	0.0483233
pimp	0.0478459
Piggie	0.0474927
pedophile	0.0471875
"police sergeant"	0.0468531
gangster	0.0463705
"Royal National Theater"	0.046343
mobster	0.0463047
stuntman	0.0460963
bidder	0.0456675
"call girl"	0.0456037
"Salt Lake"	0.044978
grocer	0.0448919
shipowner	0.0448671
syndicate	0.0444678
"maintenance man"	0.0441101
"slush fund"	0.0439942
"credit bureau"	0.0434911
promoter	0.0433792
cartel	0.0432612
"Agency for International Development"	0.0429301
"insurance company"	0.0428324
hooligan	0.0427187
tabloid	0.0425261
telemarketers	0.0423872
pizzeria	0.0420064
thief	0.0412937
"tabloid newspaper"	0.0412498
"electrical device"	0.0412231
mugger	0.0409114
"drug sale"	0.0408806
"heavy hitter"	0.0407997
"business executive"	0.040323
"trial lawyer"	0.040301
showgirl	0.0402777
))
(bookmark (desc 4786.53) (sims
"frequently asked question"	0.079628
password	0.0770726
classifieds	0.0707405
URL	0.0656982
directory	0.0643892
"application program"	0.0638124
postings	0.0621969
MP@	0.0615738
"computer file"	0.0606756
toolbar	0.0600642
zine	0.0586278
"greeting card"	0.0573471
"phone book"	0.0566754
"honorable mention"	0.0561112
obit	0.0553437
folder	0.0549714
"pen pal"	0.054513
"order form"	0.0535906
"reference work"	0.0534833
usability	0.0519846
postcard	0.0518197
keyword	0.0507532
"business card"	0.0506278
"reference book"	0.050543
"word processing"	0.0505344
MP@s	0.0505221
Bibliography	0.0504312
guidebook	0.0502923
horoscope	0.050229
calculator	0.050173
newsgroups	0.0501469
browsing	0.0499079
"first @@@"	0.049817
"Palm III"	0.0496459
"frame of reference"	0.049574
alias	0.0490666
"bulletin board"	0.0488383
Webmaster	0.0485052
right-click	0.04754
"National Trust"	0.0475095
"Top @@@"	0.0474698
"identification number"	0.0473205
"Raging Bull"	0.0470621
ISP	0.0469271
shareware	0.0467086
"phone number"	0.0466381
"monitoring program"	0.0465546
CD-ROM	0.0462012
zillion	0.0456507
saver	0.0455388
"baseball card"	0.0453855
houseplant	0.0449592
"Christmas card"	0.0448188
browsers	0.0447383
user-friendly	0.0447286
"parlor game"	0.0444669
Hotmail	0.0439598
"mailing address"	0.0438942
"ticket stub"	0.043673
info	0.0436245
"telephone number"	0.0435265
"boarding pass"	0.0431712
pager	0.0429247
surfing	0.0428275
BIOS	0.0427715
"fictional character"	0.0427397
freebie	0.0425612
booklet	0.0424492
"news article"	0.0423456
"electronic communication"	0.0422949
"time capsule"	0.0422317
intranet	0.0421294
"work group"	0.0420982
keepsake	0.0420381
shortcut	0.04202
correspondence	0.0418637
brochure	0.0418429
"chain letter"	0.041701
handbill	0.0416625
registry	0.0415252
"network administrator"	0.0414419
spam	0.041142
"disk drive"	0.0410998
"trade secret"	0.0410995
"video game"	0.0407206
"source code"	0.040672
spreadsheet	0.0406577
"golf game"	0.0404707
"newspaper column"	0.0404642
"push back"	0.0403423
"Social Security number"	0.040324
font	0.0403147
byline	0.0400693
Reel.com	0.0400422
))
(bookseller (desc 14902.3) (sims
retailer	0.156755
bookstore	0.143125
"toy retailer"	0.132199
merchant	0.0996176
grocer	0.0981899
wholesaler	0.0978573
bookshop	0.0961536
CDnow	0.094623
advertiser	0.0909646
distributor	0.0902641
Amazon.com	0.0889932
eToys	0.0888063
superstore	0.0886205
publisher	0.0873034
auctioneer	0.0855196
"brokerage firm"	0.0850647
provider	0.0835544
manufacturer	0.0834608
"software maker"	0.0832793
resellers	0.0829446
Barnesandnoble.com	0.0829431
"drug maker"	0.0827722
dealer	0.082473
seller	0.0815082
"defense contractor"	0.0810717
automakers	0.081067
Reel.com	0.0809952
"banking company"	0.0799579
vendor	0.0796295
Amazon	0.0790384
broker	0.0784764
"Barnes &AMP; Noble"	0.0781364
"cable operator"	0.0769621
brokerage	0.0762845
insurer	0.0762096
Buy.com	0.0761778
"travel agency"	0.0754419
broadcaster	0.0753698
grower	0.0753563
"publishing house"	0.0753452
"toy maker"	0.0746701
marketer	0.0746373
steelmaker	0.0746285
supplier	0.0744248
developer	0.0743847
Yahoo	0.0739932
toymaker	0.0734347
"auction house"	0.0732603
refiner	0.0731843
"auto maker"	0.0725691
"advertising agency"	0.0724667
importer	0.0716028
"futures exchange"	0.0714609
issuers	0.069705
collector	0.0695519
"telephone company"	0.0692254
"food company"	0.0688658
Portal	0.0686045
"electronics company"	0.0684162
maker	0.0683678
operator	0.0679704
Pharmacy	0.067718
"travel agent"	0.0669142
eBay	0.066228
"computer store"	0.0659299
competitor	0.0655636
chain	0.065555
"life insurer"	0.0653273
drugstore	0.0652655
"retail chain"	0.0651814
carmakers	0.0651217
"brokerage house"	0.0646295
"oil producer"	0.0638575
bottlers	0.0637515
trader	0.0632776
automaker	0.0625381
"toy store"	0.0624137
marketers	0.0623644
"car maker"	0.0623143
ISP	0.0622431
"phone company"	0.0619826
"newspaper publisher"	0.0619023
outlet	0.0618232
"literary agent"	0.061822
"mining company"	0.0607123
carrier	0.0605263
shipbuilder	0.0604788
e-tailers	0.0602306
"chain store"	0.0602207
"film producer"	0.0601333
educator	0.0600907
exporter	0.0600695
airline	0.0599825
discounter	0.0598412
issuer	0.0597685
"Protestant denomination"	0.059726
"auto company"	0.0594498
Priceline.com	0.0594135
lender	0.0593483
entrepreneur	0.0590977
startup	0.0589522
multinationals	0.0584126
buyer	0.0583397
polluter	0.0583388
"semiconductor maker"	0.0582718
exhibitor	0.058112
employer	0.0580777
"America Online"	0.0579744
"insurance company"	0.0578964
conglomerate	0.0578174
filmmakers	0.0576897
Wal-Mart	0.0575444
"electric company"	0.057534
"home builder"	0.0569909
"car dealer"	0.0569827
journalist	0.0569303
"car manufacturer"	0.0568983
homebuilder	0.0567064
"retail store"	0.0565685
ISPs	0.0563953
"venture capitalist"	0.0561724
shipper	0.056148
"Rite Aid"	0.0559433
"labor union"	0.0559431
"department store"	0.0557283
Reader	0.0554328
"financial institution"	0.0553325
"credit bureau"	0.055079
supermarket	0.0550635
bottler	0.0547996
assembler	0.0546171
Programmer	0.0544957
E-Trade	0.0539566
thinker	0.053892
"business organization"	0.053804
user	0.053705
"publishing company"	0.0536813
academic	0.0535442
builder	0.0535313
"bank holding company"	0.0535309
middlemen	0.0533781
landowner	0.0532435
franchisees	0.0532383
"delivery service"	0.0530772
restaurateur	0.0530584
"ad agency"	0.0529814
ETrade	0.0526502
"broadcasting company"	0.0526095
"Charles Schwab"	0.052512
Compaq	0.0524144
Carrefour	0.052252
eateries	0.0520809
"investment trust"	0.0516924
archivist	0.0516384
Drugstore.com	0.0516089
banker	0.0515556
salesmen	0.0515544
corporation	0.0512026
"department store chain"	0.0511597
"business leader"	0.0510143
winery	0.0509427
"radio station"	0.0506901
"insurance broker"	0.0506275
retailing	0.0506121
designer	0.0505086
metropolises	0.0504693
"market maker"	0.0504613
franchisee	0.0503963
"newspaper editor"	0.0502935
shopper	0.0502039
"shipping company"	0.0499865
"Amazon.com Inc."	0.049971
Cisco	0.0499174
"trade association"	0.0498201
Lycos	0.0498018
homeowner	0.049588
"steel company"	0.0495682
dealerships	0.0494414
conservationist	0.0493384
billionaires	0.0492082
"Hollywood studio"	0.0491403
carmaker	0.0491357
florist	0.0489877
"transportation company"	0.0486685
reviewer	0.0485607
photographer	0.0484629
"graphic artist"	0.0483136
pharmacist	0.0482932
DrKoop.com	0.0482833
chipmaker	0.0481656
regulator	0.0480529
"service station"	0.0480329
cartoonist	0.0479922
dot-coms	0.0479621
Inc.	0.047917
upstart	0.0478224
musician	0.0477825
Toysmart.com	0.0477795
NiSource	0.0477385
Barnes	0.0476313
))
(bookshelf (desc 7948.94) (sims
bookcase	0.164903
shelf	0.146509
"coffee table"	0.130271
dresser	0.110781
paneling	0.100453
"file cabinet"	0.0957961
sofa	0.0927939
sideboard	0.0926056
"filing cabinet"	0.0911053
desk	0.0904412
mantelpiece	0.0887695
drawer	0.0846894
fireplace	0.0841811
cupboard	0.0835022
"rocking chair"	0.0830051
"easy chair"	0.0827084
stool	0.080558
armoire	0.0788694
refrigerator	0.0771865
blackboard	0.0764951
cubicle	0.076383
countertop	0.0744255
armchair	0.0741537
furniture	0.0739355
couch	0.0735615
"medicine cabinet"	0.0718613
closet	0.0712915
easel	0.0708672
mantel	0.0708083
banquette	0.0707331
rack	0.0689959
carpeting	0.067962
"folding chair"	0.0662391
countertops	0.0656941
WINDOWSILL	0.06568
"television set"	0.0655741
"display case"	0.0654555
"trash can"	0.0651906
carpet	0.0624639
"kitchen table"	0.0623189
wallpaper	0.0611474
suitcase	0.0602083
wainscoting	0.06
cot	0.0596126
floorboard	0.0589304
pantry	0.0578909
stove	0.0572664
ceiling	0.0567235
mattress	0.0567039
headboard	0.0563014
"shopping cart"	0.055937
pew	0.0552744
bleachers	0.0552024
rug	0.0550481
"French door"	0.054038
"grand piano"	0.0538227
lamp	0.0536139
"computer screen"	0.053514
"bunk bed"	0.0531672
"garbage can"	0.0527648
console	0.052346
pail	0.0523323
"personal business"	0.0522563
toilet	0.0521925
drawers	0.052074
tray	0.0518844
"dining table"	0.0513274
"kitchen appliance"	0.0511885
"wine cellar"	0.0508723
trunk	0.0506003
Bin	0.050386
flooring	0.0502947
tile	0.0501893
stair	0.0499367
hearth	0.0498518
staircase	0.0495696
balcony	0.049567
pallet	0.0494366
floppy	0.0492492
desktop	0.0491638
"shower stall"	0.048839
"CD player"	0.048737
bathroom	0.0486157
bunk	0.0485805
"entertainment center"	0.0485251
ledge	0.0484172
"lawn chair"	0.04834
CD-ROM	0.0479999
armrest	0.0479569
radiator	0.0476285
utensil	0.0476173
typewriter	0.0472309
"piece of furniture"	0.0468411
entryway	0.0468222
"septic tank"	0.0467051
VCR	0.0466799
"office furniture"	0.0466307
cornice	0.0462882
appliance	0.0462447
deck	0.0460432
scaffold	0.0457672
briefcase	0.0457569
doorway	0.0456408
filtering	0.0453592
"floppy disk"	0.0453439
chimney	0.0452248
furnishings	0.0452188
"work surface"	0.0451309
bungalow	0.0450811
lectern	0.0450807
disk	0.0450302
trailer	0.0449335
"picture window"	0.0448945
"wine bottle"	0.0448935
"hard disk"	0.0447935
"back porch"	0.0447224
fridge	0.0443446
locker	0.0442101
folder	0.0441909
calendar	0.043972
freezer	0.0438976
chest	0.0436288
"park bench"	0.0435733
Casket	0.0434865
"tv set"	0.0433697
mailbox	0.0433667
cage	0.043256
crib	0.0432286
outhouse	0.0432166
Stairway	0.0431839
"summer house"	0.0431389
"conference table"	0.0429701
plaque	0.0429623
decor	0.0429209
curtain	0.0427779
dryer	0.0427445
"water cooler"	0.0426346
"dance floor"	0.0426124
pillow	0.0425928
stereo	0.0425842
"fax machine"	0.042531
bedroom	0.0425208
flagpole	0.0424103
shredder	0.0423982
porch	0.0423089
"video screen"	0.0422858
carton	0.0422529
wardrobe	0.0421482
dashboard	0.0419733
chromosome	0.0419409
lampshade	0.0419404
printer	0.0418863
molar	0.0418316
jar	0.0418298
tub	0.0417681
cistern	0.0417623
stacks	0.0416496
crate	0.0415644
seating	0.0415397
tablecloth	0.0414338
settee	0.0414267
fixture	0.0413871
knickknack	0.0412661
patio	0.041099
terrace	0.0410671
garage	0.0409713
skiff	0.0409433
workstation	0.0409408
checklist	0.0408736
"gift shop"	0.0407826
Christmases	0.0407548
bathtub	0.0404938
Rolodex	0.0404626
elevator	0.0402583
cottage	0.04023
tailgate	0.0401889
"reading room"	0.0401626
"bulletin board"	0.0401446
vase	0.0400719
knapsack	0.04007
"window frame"	0.0400183
))
(bookshop (desc 3321.99) (sims
bookstore	0.149077
"toy store"	0.13488
"art gallery"	0.128923
"gift shop"	0.1268
"clothing store"	0.124476
"computer store"	0.123178
"beauty salon"	0.120643
"jewelry store"	0.114094
boutique	0.107186
"shoe store"	0.107032
"liquor store"	0.105694
"hardware store"	0.101131
"tea house"	0.0961684
bookseller	0.0961536
drugstore	0.0954965
"retail store"	0.0931867
salon	0.0924105
bakery	0.0908104
"grocery store"	0.0886222
"food shop"	0.0878838
kiosk	0.0874008
"specialty store"	0.0868989
pub	0.0865283
deli	0.0861601
"coffee shop"	0.0854054
grocer	0.0853721
"Print Shop"	0.0847577
tavern	0.0846646
eateries	0.0839396
Pharmacy	0.0817644
teahouse	0.0816686
pizzeria	0.0812504
sawmill	0.081023
"gas station"	0.0806078
coffeehouse	0.0799364
superstore	0.0796166
"service station"	0.0794132
emporium	0.07917
bistro	0.0788861
"beauty shop"	0.0779309
pawnshop	0.0761946
supermarket	0.0755384
parlor	0.0744168
"repair shop"	0.0743774
"travel agency"	0.074055
"candy store"	0.0733545
"convenience store"	0.0732542
"department store"	0.0722236
"coffee bar"	0.0709799
"funeral home"	0.0703609
"dry cleaner"	0.0702217
nightclub	0.0698849
"gasoline station"	0.0696115
"movie theater"	0.0691205
"day care center"	0.0691102
delicatessen	0.0688277
cafe	0.0684499
"parlor game"	0.0682836
"general store"	0.0681095
Steakhouse	0.0674989
"retail operation"	0.0667551
"flea market"	0.0646156
"toy retailer"	0.0636047
"shopping center"	0.0633723
"gambling casino"	0.0628872
"discount store"	0.0624589
"Chez Panisse"	0.0621846
homepages	0.0621586
Harrods	0.0618565
Reel.com	0.0609473
nursery	0.0607515
florist	0.0607478
"auction house"	0.0606703
"shopping mall"	0.060308
canteen	0.0592721
"recording studio"	0.0585905
"chain store"	0.0584235
YankeeNets	0.0581534
"B&AMP;B"	0.057961
saloon	0.057809
"snack bar"	0.0573804
"bowling alley"	0.0570387
grocery	0.0570051
Woolworth	0.0565362
"Washington Senators"	0.0563757
Supercenters	0.056366
"movie house"	0.0563642
caterer	0.0561981
"phone booth"	0.0561629
Spago	0.05557
"trading post"	0.0553158
inn	0.0550958
"ticket office"	0.05488
barbershop	0.0543699
"vending machine"	0.0543656
spas	0.0541029
junkyard	0.053851
"wine cellar"	0.053675
"machine shop"	0.0528336
showroom	0.0523734
dealership	0.0520978
"dining area"	0.0518609
"language school"	0.0514357
slaughterhouse	0.0513913
"steel mill"	0.0510094
"retail chain"	0.0509436
SPA	0.0508957
"watering hole"	0.050747
"dance hall"	0.0507356
cafeteria	0.0505365
retailing	0.0503682
"bus company"	0.0502614
"publishing house"	0.0501291
foundry	0.0498945
"post office"	0.0493307
"Saks Fifth Avenue"	0.0491978
arcade	0.048945
"employment agency"	0.048771
"health food"	0.0485975
"butcher shop"	0.0484483
dealerships	0.0484467
"theme park"	0.0483663
brokerage	0.0480809
"coloring book"	0.0480106
"stock trader"	0.0475331
"Best Buy"	0.0474776
auctioneer	0.0474378
"baseball club"	0.047404
Jukebox	0.0472433
"yellow pages"	0.0471536
"brokerage account"	0.046821
brewery	0.0466273
"ghost town"	0.0464366
"community newspaper"	0.0463653
"beauty parlor"	0.046272
"delivery service"	0.0462575
brothel	0.0460483
stalls	0.0460217
motel	0.0459427
"Miller Park"	0.045847
"Kentucky Fried Chicken"	0.0458077
"Chronicle Publishing"	0.0457924
"writing desk"	0.0452229
"information provider"	0.0449546
winery	0.0449458
Marina	0.044927
"advertising agency"	0.0447223
"airplane ticket"	0.0447058
"trucking company"	0.0446656
"art school"	0.0446497
CDnow	0.0446052
"Internet Service Providers"	0.0445585
"hot stock"	0.0445559
"hot spring"	0.0445158
"amusement park"	0.0444652
"house of worship"	0.0444593
"degree program"	0.044412
laundry	0.0443817
e-tailers	0.0442605
"entertainment center"	0.0440331
bed-and-breakfasts	0.043898
"filling station"	0.0436871
"reading room"	0.0435616
"food company"	0.0435571
"FAO Schwarz"	0.0435532
"entertainment business"	0.0433488
Bathhouse	0.0433369
bazaar	0.043117
"paper mill"	0.0430687
catering	0.043032
promenade	0.0430174
daycare	0.0429505
jeweler	0.0428876
"shopping cart"	0.0427507
houseboat	0.0427345
nightspots	0.0427208
storefront	0.0427135
"summer house"	0.042669
"ad agency"	0.0426359
"branch office"	0.0424824
"Tampa Bay Lightning"	0.0423631
oilman	0.0423538
"science museum"	0.0422919
"Princess Mononoke"	0.0422421
Oriole	0.0421735
"Chrysler Building"	0.0420669
"brokerage house"	0.0420667
"Brooks Brothers"	0.0420058
timberland	0.0419305
"information service"	0.0419216
directory	0.0417813
Tupperware	0.0416984
"pizza parlor"	0.0416394
websites	0.0416087
"Krispy Kreme"	0.0415692
"exhibition hall"	0.0414846
hospice	0.0414502
bottlers	0.0413767
taxis	0.0412322
"psychiatric hospital"	0.0410709
))
(bookstore (desc 41122.2) (sims
store	0.204588
"grocery store"	0.184962
supermarket	0.181386
shop	0.175662
"department store"	0.16675
"hardware store"	0.161526
"gift shop"	0.159118
"toy store"	0.156289
drugstore	0.155471
restaurant	0.150636
bookshop	0.149077
Pharmacy	0.148411
"retail store"	0.14593
bookseller	0.143125
"clothing store"	0.142598
"art gallery"	0.142131
boutique	0.141891
library	0.141108
"convenience store"	0.13389
"liquor store"	0.128614
"computer store"	0.128515
cafe	0.128344
bakery	0.123455
outlet	0.121293
mall	0.120843
"gas station"	0.11906
theater	0.116538
"specialty store"	0.116226
"post office"	0.115673
pub	0.115191
deli	0.114689
"chain store"	0.113971
"coffee shop"	0.113518
eateries	0.112747
retailer	0.112503
"movie theater"	0.111276
hotel	0.110995
salon	0.11078
"shoe store"	0.109319
"travel agency"	0.107001
gallery	0.10652
superstore	0.106471
museum	0.103797
"jewelry store"	0.102639
"shopping center"	0.101839
"Barnes &AMP; Noble"	0.100601
dealerships	0.0999652
"shopping mall"	0.0990002
nursery	0.0989898
clinic	0.0975077
parlor	0.0973073
showroom	0.0970217
grocery	0.0963372
cafeteria	0.0960967
nightclub	0.0955636
newsstand	0.0950395
bar	0.0943958
"service station"	0.0939086
"radio station"	0.0938288
delicatessen	0.0929342
"publishing house"	0.0928686
emporium	0.0922805
kiosk	0.0922535
"discount store"	0.0908755
coffeehouse	0.0908266
"beauty salon"	0.0906592
Warehouse	0.0904975
bistro	0.0900155
tavern	0.0879511
catalog	0.0874095
studio	0.0874057
gym	0.0864279
office	0.0864162
chain	0.0863317
motel	0.0861731
"flea market"	0.0861293
cinema	0.0860263
center	0.0860055
hospital	0.0851498
"movie house"	0.0815107
Casino	0.0807436
site	0.0802199
club	0.0796985
"office building"	0.079646
school	0.0793478
"funeral home"	0.0790786
wholesaler	0.0783744
winery	0.0783261
Steakhouse	0.0780899
"amusement park"	0.0779563
"food shop"	0.0779272
diner	0.0776255
park	0.0774248
arcade	0.0771223
merchant	0.0770433
"gasoline station"	0.0770362
"dry cleaner"	0.0768291
station	0.0766897
"auction house"	0.076202
apartment	0.0759547
"bowling alley"	0.0754241
dealer	0.0754004
MCDONALD's	0.0747858
factory	0.074591
"theme park"	0.0743913
"brokerage firm"	0.0743772
"TV station"	0.074285
"exhibition hall"	0.0741365
"advertising agency"	0.0740623
dealership	0.0740066
church	0.0737312
"general store"	0.0737163
inn	0.0733475
teahouse	0.0732554
"television station"	0.0721907
storefront	0.0721038
"repair shop"	0.0720774
"community center"	0.0720709
grocer	0.0719214
lounge	0.0714511
"nursing home"	0.0713294
retail	0.0712461
classroom	0.0711565
synagogue	0.0709735
Amazon.com	0.0709524
florist	0.0708776
brokerage	0.0707451
"medical center"	0.0705173
"publishing company"	0.070355
university	0.0702548
pizzeria	0.0701891
"game room"	0.0701401
spas	0.069919
hall	0.0698957
booth	0.0697865
garage	0.0696716
pawnshop	0.0694495
publisher	0.0690711
"recording studio"	0.0690571
auditorium	0.0689188
"dance hall"	0.0688765
"day care center"	0.0687541
bank	0.0684802
"polling station"	0.0684699
"entertainment center"	0.0683134
SPA	0.068173
"police station"	0.0680859
brothel	0.0680823
"Toys R Us"	0.0676299
saloon	0.067341
"public school"	0.0668969
resort	0.0660696
shelter	0.0660389
"hotel room"	0.0659023
building	0.0658432
garden	0.0657929
Brasserie	0.0655746
kitchen	0.065564
lab	0.0653875
"ticket office"	0.0653051
firm	0.0652481
branch	0.0645654
"art school"	0.0645611
cemetery	0.0644936
room	0.0644446
"research center"	0.0643198
Wal-Mart	0.0643096
"elementary school"	0.0641212
"travel agent"	0.0640555
stalls	0.0639855
"private school"	0.063863
"polling place"	0.0633781
distributor	0.0633371
newspaper	0.0631476
Website	0.0630704
"ad agency"	0.063037
"dining room"	0.0629577
campus	0.0628295
zoo	0.0625968
complex	0.0625592
"brokerage house"	0.0625252
venue	0.062493
"concert hall"	0.06243
magazine	0.0623892
College	0.0623025
caterer	0.062171
laboratory	0.0621533
courthouse	0.0620657
archive	0.0619082
airport	0.0617669
"middle school"	0.0615934
ballroom	0.0613892
"candy store"	0.06137
affiliate	0.0612031
Bathhouse	0.0610981
vendor	0.0609713
"apartment building"	0.060875
"beauty parlor"	0.0608206
headquarter	0.0607646
gymnasium	0.0605328
))
(boom (desc 64282.5) (sims
surge	0.159138
"bull market"	0.157201
growth	0.14423
downturn	0.139451
slowdown	0.137517
"rapid growth"	0.136294
expansion	0.134117
recession	0.125718
trend	0.12549
decline	0.124688
recovery	0.123106
upturn	0.122752
slump	0.122551
revolution	0.114858
prosperity	0.114432
rise	0.109428
craze	0.10846
resurgence	0.107896
increase	0.103399
crisis	0.102239
drop	0.101804
economy	0.101723
consolidation	0.101438
upsurge	0.0998596
gain	0.09845
success	0.0980463
volatility	0.0979846
frenzy	0.0979839
turnaround	0.0977956
explosion	0.095885
shift	0.0950145
improvement	0.0944853
collapse	0.094331
turmoil	0.0941286
renaissance	0.0939885
development	0.0932384
mania	0.0930716
revival	0.0924619
change	0.0917227
upheaval	0.0914724
decrease	0.0909833
bubble	0.0906436
shortage	0.0900288
inflation	0.0882
drought	0.0878847
plunge	0.0877173
transformation	0.0871815
"growth rate"	0.0869773
turbulence	0.0866824
deregulation	0.0864417
spurt	0.0854894
investment	0.0843734
innovation	0.0838209
downturns	0.083589
"bear market"	0.0834647
spree	0.0834455
sell-off	0.0833801
weakness	0.0833005
cutback	0.0823474
market	0.0821465
wave	0.0817225
"economic crisis"	0.0816182
reduction	0.0816016
influx	0.0815177
disaster	0.0807424
progress	0.0801614
advance	0.0800196
popularity	0.0794933
harvest	0.0793655
"Bull Run"	0.0788148
shakeout	0.0787308
euphoria	0.0784216
rebound	0.0783918
epidemic	0.07837
crunch	0.0782898
cycle	0.0782877
contraction	0.0781237
slide	0.0777099
"price increase"	0.0773436
"labor market"	0.0772528
"oil price"	0.0770998
glut	0.077083
war	0.0769493
phenomenon	0.0768674
demand	0.0768336
instability	0.0760406
sluggishness	0.0759384
reform	0.0757975
"consumer demand"	0.0756353
Liberalization	0.0755086
jump	0.075473
globalization	0.0753269
fluctuation	0.0751003
Rally	0.0750219
activity	0.0748065
interest	0.074795
crises	0.0747188
selloff	0.0745191
meltdown	0.0742819
disruption	0.0740675
surplus	0.0740097
industry	0.0738973
unrest	0.0735758
flood	0.0732568
spending	0.0732496
climate	0.0731089
movement	0.0727023
falloff	0.0726772
boomlet	0.0722991
"gold rush"	0.0722741
famine	0.0721883
"stock market"	0.0721801
business	0.0720335
transition	0.0715143
performance	0.0714715
stability	0.0713391
uncertainty	0.0710985
speculation	0.070845
depreciation	0.0707079
sale	0.070363
era	0.0703134
"baby boom"	0.0701142
devaluation	0.0699937
hike	0.0699926
achievement	0.0697775
woe	0.0697425
strength	0.0696129
unemployment	0.0693727
deficit	0.0692661
stagnation	0.0692156
windfall	0.0685435
opportunity	0.0682651
dominance	0.0682486
spike	0.0681145
"success story"	0.068023
merger	0.0679027
"industrial revolution"	0.067881
difficulty	0.0676156
problem	0.0675709
emergence	0.0675495
shortfall	0.0675177
outbreak	0.0673685
scandal	0.0672211
uptick	0.0672198
conflict	0.0671977
employment	0.0671482
production	0.0670237
flow	0.0670167
competitiveness	0.0668986
experience	0.0668776
breakthrough	0.0668673
Depression	0.0668349
layoff	0.0668279
deterioration	0.0665373
rush	0.0665003
breakdown	0.0664785
imbalance	0.0664344
rivalry	0.0664312
price	0.0663755
"heat wave"	0.0663175
panic	0.0662584
migration	0.0659317
optimism	0.0658971
weather	0.0657308
controversy	0.0657218
enthusiasm	0.065538
chaos	0.0655359
period	0.0655194
technology	0.0655042
binge	0.0654687
Correction	0.065463
potential	0.0654311
riot	0.0653326
"earnings growth"	0.0653012
competition	0.0652398
"crime wave"	0.0651791
outlook	0.0651466
bonanza	0.0648168
tragedy	0.0647616
comeback	0.0647348
scarcity	0.0646202
dip	0.0645417
"price war"	0.064358
project	0.0642821
wealth	0.0641191
process	0.0640734
productivity	0.0640517
boost	0.0639229
effort	0.0638253
experiment	0.063812
"civil war"	0.0638101
deflation	0.0636899
reversal	0.0636671
oversupply	0.0636484
"El Nino"	0.0635951
cost	0.0635324
crash	0.0634833
storm	0.0634652
selling	0.0634605
acceleration	0.06332
))
("boom town" (desc 1672.94) (sims
boomtown	0.121424
"ghost town"	0.0847484
"white elephant"	0.0703972
"trading post"	0.0693649
highflier	0.068277
"lynch mob"	0.067137
multi-ethnic	0.0642912
pinup	0.064087
segregationist	0.0612056
stepchild	0.0565683
drillers	0.055077
"social event"	0.0550583
desperado	0.054448
enabler	0.0537593
"success story"	0.0531555
"Mount Rushmore"	0.0530701
"Special Economic Zones"	0.0525659
claimer	0.0521983
nonentity	0.0519922
"gold rush"	0.0519112
singer-songwriters	0.0518354
preteen	0.0511817
"hunting ground"	0.0510134
gusher	0.0509455
copout	0.050392
"matinee idol"	0.0501449
"police state"	0.0500929
"development organization"	0.0494019
curmudgeon	0.0493452
Dynamo	0.0489359
"hot potato"	0.0484817
honky-tonk	0.0483595
fiefdom	0.0480997
supposition	0.0477488
redoubt	0.0477018
"numbers game"	0.0476448
"growth industry"	0.0475038
weakling	0.0469285
"lingua franca"	0.0462741
harem	0.046152
SEZs	0.0460601
"slave ship"	0.0459577
laggard	0.0458674
Triptych	0.0456433
playlist	0.045343
"shock therapy"	0.0451717
"tree stump"	0.044799
"Ma Bell"	0.0447279
microcosm	0.0445295
"ballet dancer"	0.0442644
steamroller	0.0441427
"key market"	0.0439995
flyover	0.0435938
"ball club"	0.0435097
incubator	0.0433843
Elf-Aquitaine	0.0433719
"parlor game"	0.0430582
"summer house"	0.0428452
Sibneft	0.0427441
closers	0.0424998
"big leaguer"	0.0423295
hothouse	0.0423097
bed-and-breakfasts	0.0420554
"supper club"	0.041918
Cosmo	0.0417644
meltdowns	0.0416666
Houdini	0.0416486
steamboat	0.040664
Sultanate	0.0406434
"belly dancer"	0.0405986
"foreign service officer"	0.0404161
canard	0.0403959
rabble	0.0403316
"commercial enterprise"	0.0400848
survivalist	0.040029
))
(boomer (desc 13851.2) (sims
"baby boomer"	0.168658
baby-boomers	0.096611
"baby boom"	0.0960829
Reader	0.0632495
adult	0.0631291
consumer	0.0628192
hippie	0.0627567
viewer	0.0622044
teens	0.0615743
retiree	0.0610337
suburbanite	0.0608922
shopper	0.0595533
"New Englander"	0.0595442
traveler	0.0592058
angler	0.058815
grown-up	0.0577645
moviegoer	0.0571455
teen-ager	0.056174
"middle class"	0.0558716
"sports fan"	0.054384
Californian	0.0541951
Taiwanese	0.0537191
male	0.0532951
theatergoer	0.0530246
buyer	0.0525481
smoker	0.0525073
homeowner	0.0524548
"business traveler"	0.0522779
listener	0.0516765
yuppie	0.0514877
teenager	0.0510945
Irishmen	0.0510347
Southerner	0.0504846
folk	0.0500584
"senior citizen"	0.0500225
"New Yorker"	0.0492741
youngster	0.0492347
Mexican	0.0486839
surfer	0.0480279
Texan	0.0474166
Cambodian	0.047099
leaver	0.0466244
Beijingers	0.0465688
clientele	0.0464749
"union member"	0.0463038
"job seeker"	0.0463016
"married woman"	0.0458833
"college student"	0.0458654
adolescent	0.0457696
mom	0.0456189
Atlantans	0.0456019
Hispanic	0.0455929
Muscovite	0.0454424
Englishmen	0.0451611
electorate	0.0450516
drinker	0.0447861
Minnesotan	0.044734
Ohioan	0.0446938
Asian-Americans	0.0445561
Briton	0.0443775
"foster child"	0.0443575
"rock star"	0.0437885
Ding	0.0437571
DEADBEAT	0.043706
Singaporean	0.0432052
Latino	0.0430467
skier	0.0430431
Iowan	0.043041
addict	0.0429528
gardener	0.0428873
Schmitz	0.0427479
African-American	0.0426187
Garza	0.0423929
Iranian	0.0421965
squire	0.0421954
westerner	0.0421233
"home buyer"	0.0420693
vet	0.0420473
advertiser	0.0419921
gamers	0.0418246
pensioner	0.0416362
geek	0.0415781
enthusiast	0.041543
jock	0.0413992
entrepreneur	0.0413602
readership	0.0413376
ballplayer	0.0413022
"music lover"	0.0413012
Bowers	0.0412987
marketers	0.041057
Younger	0.0410432
hipsters	0.0408741
golfer	0.0407382
Navajos	0.0406722
"young man"	0.040605
"AIDS patient"	0.0404504
learner	0.0401424
Northerner	0.0400996
"black man"	0.0400799
))
("Boomer Esiason" (desc 1742.85) (sims
"Dan Dierdorf"	0.167057
"Danny Kanell"	0.150075
"Frank Gifford"	0.115988
"Jeff Blake"	0.110146
"Jim Kelly"	0.107731
"Jim Harbaugh"	0.107412
"Dave Brown"	0.102226
"Glenn Foley"	0.100145
"Todd Husak"	0.0941765
"Neil O'Donnell"	0.0939664
"Doug Pederson"	0.0893932
"Phil Simms"	0.0879539
"Terry Bradshaw"	0.087171
"Kerry Collins"	0.0866323
"Paul Justin"	0.0865348
"Al Michaels"	0.0862634
"Kordell Stewart"	0.0862147
"Pat Summerall"	0.0854857
"Tony Graziani"	0.0832554
"Roger Staubach"	0.083217
"Warren Moon"	0.083015
"Ryan Kealy"	0.0825746
"Damon Huard"	0.0814126
"Joe Namath"	0.0787251
"Steve DeBerg"	0.0779822
"Gus Frerotte"	0.0778778
"Trent Green"	0.0775901
"Vinny Testaverde"	0.0767571
"Jeff George"	0.0765419
"Chris Weinke"	0.0758975
"Reggie White"	0.0756046
"Bobby Newcombe"	0.0741397
"Johnny Unitas"	0.0739283
"John Calipari"	0.0732184
Esiason	0.0726346
"P.J Carlesimo"	0.0722395
"Joe Hamilton"	0.0718375
"Steve Young"	0.0709646
"June Jones"	0.0707809
"Drew Bennett"	0.0699994
"Eric Zeier"	0.0688408
"Doug Flutie"	0.0681235
"Scott Mitchell"	0.0680911
"Bubby Brister"	0.0677549
"Kent Graham"	0.067204
"Quincy Carter"	0.0669745
"Danny Wuerffel"	0.0668767
"Jarious Jackson"	0.0663323
"Trent Dilfer"	0.0660335
"Mike Van Raaphorst"	0.0651795
"John Fox"	0.0650884
"Kyle Brady"	0.0648591
Grbac	0.0643524
"Jeff Garcia"	0.0640188
"Michael Vick"	0.063612
"Donovan McNabb"	0.0633938
"Jason Garrett"	0.0630727
"Randall Cunningham"	0.0629454
"Glenn Hoddle"	0.0628713
"Joe Montana"	0.0627759
"Elvis Grbac"	0.0626569
Zambrano	0.0621678
"Jon Kitna"	0.061901
"Tee Martin"	0.0617797
"Ray Lucas"	0.0612258
"Bora Milutinovic"	0.0607945
"Dom Capers"	0.0607302
"Brian Griese"	0.0604573
"Walter Payton"	0.0601961
"Derrick Thomas"	0.0600505
"Doug Johnson"	0.0596012
"Ryan McCann"	0.0591938
"Luigi Di Biagio"	0.0587431
"Marv Albert"	0.0586479
"Fred Claire"	0.058644
"Jackie Harris"	0.0585614
machineguns	0.0582493
"Major Applewhite"	0.0579636
"Bobby Hoying"	0.0578225
Kitna	0.0575999
"Franz Beckenbauer"	0.0571408
"Marcus Outzen"	0.0567235
"Barry Switzer"	0.0566028
"Del Harris"	0.0563858
"Van Raaphorst"	0.0562105
"Scott Zolak"	0.0561892
Warshaw	0.0561069
"Charlie Batch"	0.0560084
"Keith Smith"	0.0556099
batboy	0.0555749
"Thurman Thomas"	0.0554866
"Brock Huard"	0.055418
"John Madden"	0.0551227
"Steve Beuerlein"	0.0548167
"Drew Brees"	0.0546873
"Tony Banks"	0.0545275
Kanell	0.0537129
"Jim Druckenmiller"	0.0535877
"Erik Kramer"	0.0528586
"Dave Wannstedt"	0.0526678
"Stan Collymore"	0.0523926
"Bill Walton"	0.0519024
"Ty Detmer"	0.0518358
"JOHN FRIESZ"	0.0516345
Gullit	0.0514794
"Don Sutton"	0.0514655
hough	0.0512408
"Cade McNown"	0.0508933
"Dan Marino"	0.0508279
"Chris Klein"	0.05074
"Walter Zenga"	0.0506405
"Jim Harrick"	0.0505255
"Carson Palmer"	0.0503996
Ftorek	0.0503873
"Cory Paus"	0.0503652
"Rick Mirer"	0.0502509
COACHES	0.0499808
"Natalie Williams"	0.0498544
"Rob Johnson"	0.0498
"Ortege Jenkins"	0.0496701
"Ian Wright"	0.0496257
"department employee"	0.0495649
"Brad Johnson"	0.0494932
"Eric Cantona"	0.0491076
"Andreas Papandreou"	0.0490648
"Steve McNair"	0.0489725
"Bob Costas"	0.0488858
"Michael Bishop"	0.0488742
"Pete Carroll"	0.0488314
"Don Baylor"	0.0486914
"Ruud Gullit"	0.0486446
"Mark Tuinei"	0.0485293
"Rodney Peete"	0.0485252
"Bobby Charlton"	0.0485244
"Jyrki Lumme"	0.0484825
"Chan Gailey"	0.0483153
"Mark Brunell"	0.0482523
"Patrick J. Buchanan"	0.0482339
"Tom Tupa"	0.0481675
"Jake Plummer"	0.0481417
"Tom Landry"	0.0478784
"Larry Centers"	0.0477913
Villareal	0.0477621
"Bill Russell"	0.047741
"Mike Hargrove"	0.0475379
"James McKnight"	0.0471979
"Tom Brady"	0.0468905
"Eric Wynalda"	0.0464687
Fiedler	0.0464243
"Rich Gannon"	0.0463968
Milutinovic	0.0463462
Cha	0.0463065
"Chris Simms"	0.0461685
"Ryan Leaf"	0.0461347
"Steve Largent"	0.0456237
Schoenfeld	0.0455976
"Fabrizio Ravanelli"	0.0455096
"Peyton Manning"	0.0454856
"Lynn Swann"	0.0453786
"Michel Platini"	0.0453551
Costas	0.0453198
Rongen	0.0449956
"Dennis Erickson"	0.0448961
"Akili Smith"	0.0448804
"Drew Henson"	0.0448633
"J.D Drew"	0.0446701
"Lomas Brown"	0.0446637
"Chad Pennington"	0.0443534
Titov	0.0442584
whistleblower	0.0441833
Switzer	0.0439836
"Tim Johnson"	0.0438081
Bebeto	0.0436913
"Chris Berman"	0.0436836
"Dennis Johnson"	0.0434319
"Ziggy Palffy"	0.0433552
Zenga	0.0432424
Profiler	0.0431471
"William Kristol"	0.0430709
"Dave McGinnis"	0.0430269
"Isiah Thomas"	0.0430126
"Pat Rapp"	0.0430121
"Johnny Oates"	0.0429925
"Shaun King"	0.0429331
"State Law and Order Restoration Council"	0.042898
"Byron Hanspard"	0.0425274
"Vin Scully"	0.042383
"air-to-surface missile"	0.0421989
"Boutros Boutros Ghali"	0.0421783
"Welfare Party"	0.042148
"Shaun Alexander"	0.0421083
"Daunte Culpepper"	0.0418975
apparatchiks	0.041764
"Tina Brown"	0.041439
Brazile	0.0413303
"Jim Leyland"	0.0411563
"Yao Ming"	0.0411361
"Tony Martin"	0.0410753
"Eddie Murray"	0.0408928
"Jim Brown"	0.0408175
))
(Boomerang (desc 1955.5) (sims
X-@@	0.0903339
Hubble	0.0771982
Tiki	0.0770311
SETI	0.0712764
BLUETOOTH	0.066784
Chandra	0.0652956
five-week	0.0649674
Shockwave	0.0636257
"Princess Mononoke"	0.0614927
LIMEY	0.0595797
XML	0.0568702
barbell	0.056664
lollipop	0.0549486
"trial balloon"	0.0548798
steamroller	0.0546754
dot.com	0.0545549
"Pottery Barn"	0.0535775
"chemical warfare"	0.0529238
CGI	0.0526347
JetBlue	0.0524691
Ellipse	0.0520729
longterm	0.0520262
Sloan	0.0508798
pinwheel	0.0507976
"woman's body"	0.0506469
carryover	0.0502241
fjord	0.0501176
Pinocchio	0.0500068
wimp	0.0498889
compounding	0.049323
"Peony Pavilion"	0.0489887
Centerfold	0.0487005
nigger	0.048431
"exact opposite"	0.0482802
"Blair Witch"	0.0479726
whiplash	0.047948
CERN	0.0473475
"blue angel"	0.0472996
Ilie	0.0470724
lemming	0.0470618
chairlift	0.0465685
"Bourbon Street"	0.0465521
"Night Fever"	0.0463426
"Sleepy Hollow"	0.045724
zeppelin	0.0456821
"Lei Feng"	0.0455576
Paulie	0.0455081
screwball	0.0452601
"matinee idol"	0.0452168
Hindenburg	0.0452125
Maxima	0.0451973
"space probe"	0.0450577
trampoline	0.0450297
"Laffit Pincay"	0.0448401
"coffee mug"	0.0448247
capella	0.0448045
SUNY	0.0444005
"Unit @"	0.0443561
Sahnoun	0.044342
ten-day	0.0441783
"hot-air balloon"	0.0439915
Fiorina	0.0439081
aperture	0.0439076
stapler	0.0438879
"chain letter"	0.0438874
"space capsule"	0.0438253
"World Church"	0.043297
"Hollow Man"	0.0432452
XFL	0.0432206
"Wild Party"	0.0431241
Krone	0.042805
yo-yo	0.0427248
folio	0.0427068
transformative	0.0426872
Solis	0.0426618
Lindy	0.0423223
"other seven"	0.0423189
Exorcist	0.042019
Schwarzenegger	0.0419984
"Microsoft Network"	0.0419797
"jelly bean"	0.0419367
Taxol	0.0418984
"Passion play"	0.041895
ICQ	0.0418863
ESP	0.0417247
coaster	0.0416933
CPS	0.0415855
Tram	0.0414919
"rest day"	0.0409525
"Chrysler Building"	0.0409294
"test tube"	0.0408569
Pleasantville	0.040825
iTV	0.0407534
"master bedroom"	0.0407104
"Straight Story"	0.0406647
"Aetna U.S. Healthcare"	0.0405952
Whitacre	0.0405837
"Thomas Crown Affair"	0.0405741
Tomahawk	0.040562
Nuke	0.040419
spina	0.0404063
poly	0.040309
"Parent Trap"	0.0402368
Solaris	0.0402054
ZDTV	0.0401822
Sino-French	0.0401792
))
(boomlet (desc 2377.04) (sims
"market correction"	0.0904843
"Bull Run"	0.0864036
groundswell	0.0783763
shakeout	0.0778029
frenzy	0.0661534
mania	0.0660305
"chain reaction"	0.0653339
resurgence	0.0649044
squeal	0.0642858
craze	0.0635858
"waiting game"	0.0631844
"identity crisis"	0.0629201
"crime wave"	0.0597105
"fund-raising drive"	0.0580495
firestorm	0.0576207
"price war"	0.0573765
"technological revolution"	0.0565903
rollout	0.0559997
"bull market"	0.0558633
corpus	0.0549145
spurt	0.0544622
renaissance	0.0543152
"trial balloon"	0.0533056
"chemical reaction"	0.0528883
contretemps	0.0523394
downslide	0.0522856
"rapid growth"	0.0521503
"campaign official"	0.0521223
"New Wave"	0.0521101
spate	0.0517746
paroxysm	0.0514767
"tax advantage"	0.051224
flowering	0.0510132
binge	0.0495363
uproar	0.0492587
tripling	0.0492481
juggernaut	0.0491786
sell-off	0.0488631
slipup	0.0487116
spinoffs	0.0485434
ruckus	0.0480882
glut	0.0480305
"tidal wave"	0.0479404
furor	0.0471395
upturn	0.0471142
"dry run"	0.0470366
gabfest	0.0468856
multi	0.0468714
swoon	0.046662
heatwave	0.0465527
"management shakeup"	0.0464845
"Whitewater investigation"	0.0464321
wellspring	0.0463529
cataclysm	0.0460838
"cold snap"	0.0456271
"guessing game"	0.0454907
"ad blitz"	0.0454577
dino	0.0454343
whirlwind	0.0453956
rebirth	0.045198
"monitoring program"	0.0451248
bonanza	0.0449249
orgy	0.0444991
hysteria	0.0444859
"business cycle"	0.0444538
regression	0.044214
upsurge	0.0441223
lovefest	0.043959
reformation	0.043497
"rain shower"	0.0434315
convulsion	0.0431351
bullishness	0.0428124
conflagration	0.0428001
downsizing	0.0427328
realignments	0.0425806
downdraft	0.0424072
mixup	0.0422859
selloff	0.0420607
"takeover battle"	0.0419823
"cold spell"	0.041972
"sonic boom"	0.0418835
outpouring	0.0416858
buoyancy	0.0416205
free-for-all	0.0415381
gusher	0.0415085
euphoria	0.0414754
"electric current"	0.0414341
bandwagon	0.0413899
"turn of events"	0.0413267
sell-offs	0.0412578
give-and-take	0.0411421
"point system"	0.0410609
frisson	0.0410515
tumult	0.0409716
shakeup	0.0408292
meltdowns	0.0407196
"solar eclipse"	0.040631
freefall	0.0405697
scad	0.0404968
"high tide"	0.040284
"nearly one-fourth"	0.0402595
squall	0.0402237
"asthma attack"	0.0401194
runup	0.0400145
))
(boomtown (desc 2461.26) (sims
"boom town"	0.121424
"special economic zone"	0.0994602
metropolis	0.0805882
"joint-stock company"	0.0678907
SEZs	0.066925
"Shenzhen City"	0.0659535
"financial center"	0.0625023
"Hainan Province"	0.0612388
"Zhongshan University"	0.0581655
"Special Economic Zones"	0.0570646
gunslinger	0.0568664
"Shenzhen Special Economic Zone"	0.0487714
"ghost town"	0.0478115
"futures exchange"	0.0473225
vice-mayor	0.0465773
"Jinan Taishan"	0.046225
"political movement"	0.044374
"Pearl River Delta"	0.0438176
heartland	0.0432037
"bank holding company"	0.0431675
"music school"	0.0424451
"oil business"	0.0422298
"toy retailer"	0.0418675
"four kilometers"	0.0418067
Foshan	0.0408608
"maritime law"	0.0403964
))
(boon (desc 19102) (sims
godsend	0.110772
incentive	0.0869857
blessing	0.0868163
disincentive	0.0859422
"tax break"	0.0810094
windfall	0.0776159
panacea	0.0746216
sop	0.0738619
bonanza	0.0718259
disservice	0.0710617
lifeline	0.06793
fillip	0.0667274
relief	0.0650715
essential	0.0616746
tool	0.0613641
setback	0.0609644
"morale booster"	0.060281
"first step"	0.0598699
stimulus	0.0579065
inconvenience	0.0577644
proposition	0.0575048
deterrent	0.0568644
alternative	0.05671
"financial loss"	0.0566625
prerequisite	0.056573
embarrassment	0.0563639
savior	0.0558529
subsidy	0.0558427
burden	0.0552777
hindrance	0.0540619
distraction	0.0536501
obstacle	0.0535941
"eye opener"	0.0534233
catalyst	0.0533403
bellwether	0.0531226
bargain	0.0523543
"tax incentive"	0.0523108
Nuisance	0.0522998
Tonic	0.0520492
"stumbling block"	0.0517759
impediment	0.0514273
cure-all	0.0512009
affront	0.0510794
"competitive advantage"	0.0507473
anathema	0.0501654
milestone	0.0501502
disaster	0.0501397
hardship	0.0501306
indication	0.0500953
"driving force"	0.0499909
"cash cow"	0.049979
vindication	0.0491653
"turning point"	0.0490273
priority	0.0485935
breakthrough	0.0479364
giveaway	0.0477343
"waste of time"	0.0476869
turnoff	0.0474472
attraction	0.0474269
irritant	0.0470826
consequence	0.0468656
aberration	0.0465983
"tax benefit"	0.0461304
disappointment	0.0458475
"borrowing cost"	0.0458309
balm	0.0457123
contributor	0.0453544
antidote	0.0452265
precursor	0.0452118
"good deal"	0.0452073
rebate	0.045196
hazard	0.0451699
disadvantage	0.0450691
concession	0.0448704
counterweight	0.0448619
"information service"	0.0446193
nightmare	0.044144
"rallying point"	0.0441422
"credit line"	0.0439385
cornerstone	0.0438054
moneymaker	0.0437643
"success story"	0.0437146
"last resort"	0.0436901
testament	0.0432892
magnet	0.0431158
haven	0.0430157
"stepping stone"	0.0428405
ploy	0.0428211
consolation	0.0426878
"tax credit"	0.0426706
indicative	0.0425438
harbinger	0.0424899
"good example"	0.0423713
convenience	0.0423511
catastrophe	0.0421721
necessity	0.0420067
liability	0.0419994
enticement	0.041896
steppingstone	0.0417913
impetus	0.0417383
fluke	0.0417326
barometer	0.0416371
inducement	0.0413217
"test case"	0.0412283
drawback	0.0411704
conduit	0.0411647
"hard sell"	0.0409752
"growth industry"	0.0407853
headache	0.0407135
"silver lining"	0.0406449
hassle	0.0404415
proof	0.0404307
undoing	0.0402888
))
(Boone (desc 8368.46) (sims
Fullmer	0.1672
Rolen	0.15811
"Bret Boone"	0.155593
Cirillo	0.152783
"Javy Lopez"	0.149036
Vidro	0.146916
Alfonzo	0.144168
Valentin	0.141064
"Scott Spiezio"	0.137014
"Chipper Jones"	0.136962
Aurilia	0.136704
Karros	0.136301
Bagwell	0.136176
Olerud	0.135032
"Edgardo Alfonzo"	0.134255
"Andruw Jones"	0.132947
Lieberthal	0.132726
Bordick	0.132539
Abreu	0.13253
Daubach	0.132364
Frye	0.131677
Higginson	0.131014
Glaus	0.129989
Spiers	0.128395
"Keith Lockhart"	0.12785
"Scott Rolen"	0.126769
"Matt Lawton"	0.126693
"Eric Owens"	0.126632
"Eddie Taubensee"	0.126562
Varitek	0.124711
Lankford	0.124707
"Mark Loretta"	0.124257
Biggio	0.123141
Alicea	0.123131
Ordonez	0.122783
Surhoff	0.122589
"Tino Martinez"	0.122556
Ramirez	0.122527
Dunston	0.122252
"Gerald Williams"	0.122232
"Damian Miller"	0.122175
Burnitz	0.121973
"Quilvio Veras"	0.121841
"Andres Galarraga"	0.121719
"Paul Konerko"	0.121111
Palmeiro	0.120317
"Jay Bell"	0.120134
Gant	0.11975
Klesko	0.119187
"Damian Jackson"	0.118697
Greer	0.117191
"Ryan Klesko"	0.116975
Brosius	0.116839
"John Olerud"	0.11656
"Luis Alicea"	0.11647
Catalanotto	0.116419
"John Vander Wal"	0.116351
"Craig Biggio"	0.115887
"Matt Stairs"	0.115473
Fryman	0.11538
"Bill Mueller"	0.115181
Cedeno	0.114886
"Eric Karros"	0.114831
Knoblauch	0.114785
Vaughn	0.114371
"Ray Durham"	0.114203
Cabrera	0.113795
"Marvin Benard"	0.113698
"Jeff Bagwell"	0.113676
"Jose Hernandez"	0.11345
Offerman	0.113343
"Troy Glaus"	0.113219
Tatis	0.113052
"Warren Morris"	0.113018
McLemore	0.112415
Veras	0.111869
grieve	0.111868
Bautista	0.111557
DeShields	0.111009
"Fred McGriff"	0.110837
Ledee	0.110687
"Phil Nevin"	0.110539
Womack	0.110459
Erstad	0.110455
"Juan Gonzalez"	0.110368
"Jason Giambi"	0.110008
Sexson	0.109984
"Brian Jordan"	0.109508
"David Ortiz"	0.10935
Griffey	0.109144
Lofton	0.10901
"Deivi Cruz"	0.109001
"J.T Snow"	0.108902
"Enrique Wilson"	0.108734
Segui	0.108532
Zeile	0.108409
Piazza	0.108373
"Mark Kotsay"	0.108304
"Joe McEwing"	0.108249
Larkin	0.108225
Galarraga	0.108187
Canseco	0.108167
Grudzielanek	0.108095
"Chuck Knoblauch"	0.108027
Rodriguez	0.107959
Bichette	0.107858
Garciaparra	0.107815
"Jim Thome"	0.107205
Giambi	0.107143
"Derek Bell"	0.107051
"Jason Varitek"	0.106938
"Jose Vidro"	0.106909
Nevin	0.106688
McGriff	0.106665
"Pokey Reese"	0.106463
Leyritz	0.106333
Caminiti	0.10631
Tejada	0.105787
Velarde	0.105762
Jeter	0.105732
"Carlos Lee"	0.105659
"Fernando Vina"	0.105195
Hollins	0.105166
"Rondell White"	0.104879
"Russ Johnson"	0.104726
"Bobby Higginson"	0.10463
"Ron Gant"	0.104424
"Geoff Jenkins"	0.104412
Gilkey	0.104301
Lopez	0.104108
Randa	0.104054
"Todd Helton"	0.104048
Ripken	0.103988
Gonzalez	0.103981
"Jim Edmonds"	0.103801
Baerga	0.103729
"Danny Bautista"	0.103707
"Mickey Morandini"	0.103394
Renteria	0.103075
"Wally Joyner"	0.102934
"Dante Bichette"	0.102814
"Rafael Palmeiro"	0.102807
"Benny Agbayani"	0.102758
"Jim Leyritz"	0.102333
"Ozzie Guillen"	0.102254
"Bill Spiers"	0.102141
"Darin Erstad"	0.102109
Helton	0.101989
"Ruben Rivera"	0.101987
Glanville	0.101673
Guillen	0.101645
Batista	0.101556
"Manny Ramirez"	0.101513
"Derrek Lee"	0.101395
Perez	0.101279
"Scott Brosius"	0.101252
Hundley	0.101114
Kapler	0.101014
Alomar	0.100927
"Ron Coomer"	0.100701
"Gary Sheffield"	0.100391
"Eric Young"	0.100296
Mondesi	0.100106
Delgado	0.0999428
"Cristian Guzman"	0.0999029
"Derek Jeter"	0.0994117
Hidalgo	0.0993759
"Chris Widger"	0.0991509
"Travis Fryman"	0.0986761
"Mike Sweeney"	0.0984854
Alou	0.0980838
"Ken Caminiti"	0.0980125
"Brian Daubach"	0.0979088
"Butch Huskey"	0.0978858
"Dean Palmer"	0.0978123
"Todd Walker"	0.0974439
"Jeffrey Hammonds"	0.0973852
"Jay Payton"	0.0971519
"Jose Offerman"	0.0969099
"Roberto Alomar"	0.0968047
"J.D Drew"	0.0967253
"Tony Graffanino"	0.0965321
"Miguel Cairo"	0.0964335
"Bruce Aven"	0.0962856
"Darren Lewis"	0.0961944
Burks	0.0959059
Konerko	0.0958952
"Jose Guillen"	0.0958614
"Rich Aurilia"	0.0958577
"Jeff Kent"	0.0958423
"Todd Zeile"	0.0957078
"Dmitri Young"	0.0956496
Posada	0.095546
"Tony Batista"	0.0953982
Agbayani	0.095316
"B.J Surhoff"	0.0951999
"Robin Ventura"	0.0951111
"Todd Hundley"	0.0948849
"Tony Eusebio"	0.0948116
Vizquel	0.0948089
))
(Boorman (desc 924.158) (sims
Sayles	0.157903
Wiseman	0.142316
Figgis	0.125639
"Van Sant"	0.114723
Frankenheimer	0.11234
LaBute	0.11162
MALICK	0.109042
Kincaid	0.108157
Severino	0.106854
Soderbergh	0.105267
Sorkin	0.104177
Greenwald	0.0919928
Szabo	0.0900159
MAMET	0.0897625
"Steven Soderbergh"	0.0883618
Tucci	0.0882247
"Nora Ephron"	0.0869567
Moser	0.0854963
Sandler	0.0832923
Coppola	0.0818709
"Neil LaBute"	0.0813276
Hartley	0.0808224
Kurosawa	0.0802805
Munson	0.078695
Puzo	0.0786207
Rubenstein	0.0784974
"Barry Levinson"	0.0781188
"Terrence Malick"	0.0776923
Ratner	0.0776812
Gogel	0.0767879
Truffaut	0.0761088
Soyinka	0.075258
Maruyama	0.075044
"David Lynch"	0.0748404
Passarella	0.0743121
Galindo	0.0740047
Crowe	0.0736261
Almodovar	0.0733598
Bratton	0.0725429
Cink	0.0723555
Tarver	0.0723096
McQueen	0.0721679
Mehta	0.0718304
Kubrick	0.0711806
Ftorek	0.0702139
"Tim Burton"	0.0692208
Sutherland	0.0689535
Wasserman	0.0689055
Winkler	0.0683994
Palczynski	0.0683131
Welles	0.0679686
"Frank Capra"	0.0679436
"American Film Institute"	0.0677066
Levinson	0.0676814
Sung	0.0671055
Fernandes	0.0667517
Altman	0.0665584
Machado	0.0663974
Rankin	0.0663797
Benigni	0.0660215
Coffey	0.0659801
Kerrigan	0.0656277
"Oliver Stone"	0.0651322
Quintero	0.0647171
Bishara	0.0644536
Spielberg	0.0643584
bock	0.0640084
Ribbeck	0.0639265
Jobe	0.0638695
Fleischer	0.0638448
Bolger	0.0635454
Hersh	0.0634657
Brundtland	0.0633933
Scorsese	0.0631912
"David Mamet"	0.0630885
Marineau	0.0628672
Echols	0.0621427
Olivier	0.0614617
Allard	0.0613094
"Akira Kurosawa"	0.061229
Galvin	0.0609195
Mendez	0.060906
"John Ford"	0.0608825
Whyte	0.0608465
Coen	0.0608223
Andrade	0.0607471
Postel	0.0606619
Mckee	0.060459
Feuer	0.0603564
Leigh	0.060309
Guralnick	0.0600745
Andreessen	0.0600736
Ruben	0.0599433
Paulson	0.0597864
Zellweger	0.0597104
Cleese	0.059652
"Stanley Kubrick"	0.0595016
Godwin	0.0593457
"Maya Angelou"	0.0592309
Garber	0.0591138
Jacquet	0.0590964
Fellini	0.0590198
"Robert Altman"	0.0588477
Stadler	0.0586328
"Adam Sandler"	0.0586152
Alfredsson	0.0585689
"Spike Lee"	0.0585214
McNulty	0.0584917
Mae	0.0583103
CAA	0.0582747
Whipple	0.0582661
lacy	0.0580873
Briere	0.0580279
Conroy	0.0579582
Calcavecchia	0.0576265
Rothenberg	0.0575925
Menuhin	0.0574076
Gilmour	0.0572755
Lepage	0.0572383
Pastore	0.0571273
Wiatt	0.0568991
Zapruder	0.05683
Solondz	0.0566647
McGreevey	0.0565666
Janssen	0.0565482
Bloch	0.056423
Dougherty	0.0563225
Raitt	0.0561542
Kumar	0.0560386
Farnsworth	0.0557448
Mustafa	0.0556508
Protas	0.0556233
"Francis Ford Coppola"	0.0555612
Yosef	0.0555099
Sheehan	0.0554827
Smyers	0.0554704
Baumhammers	0.055369
McGregor	0.0553565
trotter	0.0553563
BANDERAS	0.0551597
Pape	0.055144
Lazaro	0.0551367
Sheldon	0.0551238
Samuelson	0.0550548
Talebi	0.0549107
Brokaw	0.0548959
Insulza	0.0548911
Alexie	0.0548192
Jelisic	0.054742
Siskel	0.0545561
McGowan	0.0545424
Tanaka	0.0543766
Rodionov	0.0543153
Yoakam	0.0542751
Kerik	0.0542199
Farah	0.0541846
Jovanovic	0.0541207
LaChiusa	0.0539764
Boyle	0.0539312
Kuhn	0.0538623
Cianci	0.0538542
Hamill	0.0537591
Colbert	0.0536933
Eszterhas	0.0536192
Branagh	0.0535994
Miyazaki	0.0535935
Gilliam	0.0534968
DiCicco	0.0533217
"Di Canio"	0.053286
Tarantino	0.0532836
Sherrill	0.0532782
Brenner	0.0532219
Pryor	0.0532183
"Clint Eastwood"	0.0532103
"Jonathan Demme"	0.0532002
Shayler	0.0531713
Moratinos	0.0528549
Cleary	0.0528532
"Thomas Edison"	0.0526736
Pfeiffer	0.0526085
Stricker	0.0524802
Rollins	0.052467
Wolff	0.0524131
Shriver	0.0522576
Sommer	0.052251
Villeneuve	0.0522417
"Rene Russo"	0.0521236
weir	0.0520159
Warhol	0.0518618
Cota	0.051771
Crichton	0.0516979
Bening	0.0516887
"Ingmar Bergman"	0.0515579
Hauser	0.051546
Kozeny	0.0515302
Gaston	0.0515171
Harrell	0.0515129
Clooney	0.0514809
Chappell	0.0514775
Weiner	0.0514195
))
(boost (desc 55101.8) (sims
increase	0.136777
lift	0.121715
gain	0.108883
blow	0.104917
improvement	0.104446
reduction	0.101141
windfall	0.100372
decrease	0.0977254
surge	0.097084
cut	0.0968185
setback	0.0965423
impetus	0.0955754
drop	0.0953033
jolt	0.0939583
hike	0.0924719
jump	0.0923034
change	0.092291
support	0.0922119
rise	0.0921784
decline	0.0917461
boon	0.0893701
adjustment	0.0862985
stimulus	0.0858507
breakthrough	0.0854707
slowdown	0.0849567
contribution	0.0845695
momentum	0.0836805
upturn	0.0833243
growth	0.082647
uptick	0.0826113
turnaround	0.0822805
falloff	0.0816641
benefit	0.0814012
cutback	0.0796288
bounce	0.0792239
shift	0.0783503
shortfall	0.0774147
advantage	0.0769469
milestone	0.0767131
recovery	0.076582
"rate increase"	0.0745317
relief	0.0742057
payoff	0.0739864
infusion	0.0727401
concession	0.0724639
reversal	0.0719057
incentive	0.0695086
profit	0.0694945
opportunity	0.0694821
"rate cut"	0.0694319
surprise	0.0692191
bonus	0.0690282
endorsement	0.0686563
money	0.068248
saving	0.068247
factor	0.0681014
measure	0.0674977
success	0.0672304
premium	0.0672174
dent	0.0671706
challenge	0.0669914
rebound	0.0669777
plunge	0.0668821
respite	0.0667904
bonanza	0.0667286
"price increase"	0.0666473
revenue	0.0666121
savings	0.0665849
investment	0.0664527
expansion	0.0664154
slowing	0.0662263
revision	0.066187
spike	0.0661211
attention	0.0660061
bump	0.065931
acceleration	0.0658191
"pay raise"	0.0656881
"rapid growth"	0.0656294
step	0.0655328
encouragement	0.0655101
result	0.0653916
indication	0.0650517
dropoff	0.0649183
upsurge	0.0646316
obstacle	0.064585
reward	0.0645836
news	0.0644382
"tax break"	0.0642241
disparity	0.0640489
boom	0.0639229
damage	0.0638929
progress	0.0638356
leap	0.0635893
cash	0.0634513
Correction	0.0630091
credit	0.062911
deceleration	0.0628925
loss	0.0628703
fallout	0.0628414
upgrade	0.0626986
impact	0.062595
"wage increase"	0.0625239
backing	0.0624905
discount	0.0622218
"tax increase"	0.0622041
difference	0.0621674
strength	0.0620813
dividend	0.0619714
dip	0.0618965
"turning point"	0.0618723
advance	0.0616805
downturn	0.0615558
funding	0.0611661
slump	0.0610288
signal	0.0609408
spurt	0.0608699
trend	0.0607796
"rate hike"	0.0606891
vindication	0.0605299
guarantee	0.0604529
"tax cut"	0.06033
drop-off	0.0603194
distraction	0.0602987
victory	0.0601653
fund	0.0599498
"pay cut"	0.0598391
disruption	0.0597415
turnout	0.0597241
subsidy	0.05965
"growth rate"	0.0593615
rebate	0.0593045
"first step"	0.059037
sum	0.0589471
dollar	0.0587329
assistance	0.0584616
development	0.0584587
income	0.0583729
risk	0.0582822
chance	0.0580797
key	0.0579418
catalyst	0.0579262
commitment	0.0577749
gap	0.0576259
inspiration	0.0576119
shock	0.0575441
hiccup	0.0570881
surplus	0.0565481
aid	0.0564643
triumph	0.0564553
response	0.0562934
potential	0.056292
embarrassment	0.0562877
increment	0.0561837
achievement	0.0561204
showing	0.0560401
erosion	0.0558462
amount	0.0557882
blessing	0.0557563
contraction	0.055342
bailout	0.0553335
approval	0.0552759
slide	0.0551161
exposure	0.055095
reassurance	0.0550861
priority	0.0549879
turnabout	0.0549127
"earnings growth"	0.054905
publicity	0.0548877
difficulty	0.0548472
payment	0.054706
package	0.0544694
resource	0.0543065
"spending cut"	0.0542661
reprieve	0.0542652
pressure	0.0542363
resurgence	0.0542213
value	0.0541767
negative	0.0541649
overhaul	0.0540888
outcome	0.0540447
financing	0.0540132
fee	0.0537493
earnings	0.0537215
burden	0.0535671
spending	0.0534665
harm	0.0534234
gamble	0.0534159
donation	0.0533845
impediment	0.0533474
discrepancy	0.0533152
blip	0.0531316
flexibility	0.0529752
addition	0.0529597
"credit line"	0.0529401
hindrance	0.0529215
deterioration	0.052861
pledge	0.0528414
reaction	0.0527926
stake	0.0525667
"about $@@@ million"	0.0525463
))
(booster (desc 26943) (sims
"booster rocket"	0.136155
rocket	0.0896806
backer	0.0825163
supporter	0.0704636
proponent	0.0696069
"rocket engine"	0.0683006
advocate	0.0668025
benefactor	0.0658843
enhancer	0.0646789
interceptor	0.0579769
developer	0.0576159
builder	0.0576063
lobbyist	0.0572768
"sports fan"	0.0569402
Alumni	0.0552755
organizer	0.0541396
"propulsion system"	0.0535038
promoter	0.0528382
patron	0.0524523
"civic leader"	0.052092
environmentalist	0.0519499
enthusiast	0.0518735
critic	0.0516987
"communications satellite"	0.0512328
admirer	0.0511432
donor	0.0511355
executive	0.0507889
motor	0.0506987
"business leader"	0.0503839
planner	0.0498073
thruster	0.0488761
bidder	0.0486128
missile	0.0485546
component	0.0484406
devotee	0.0480541
conservationist	0.0479064
Realtor	0.0479013
Satellite	0.0478109
loyalist	0.0472652
politician	0.0472455
generator	0.0472022
collector	0.0469658
engine	0.046206
trustee	0.0461917
spacecraft	0.046054
merchant	0.0460367
"business executive"	0.0459367
contractor	0.045929
employer	0.045488
fund-raiser	0.0454849
contributor	0.045212
supplement	0.0451941
detractor	0.0450736
restaurateur	0.0449403
shipper	0.0448455
businessman	0.044708
administrator	0.0445181
skeptic	0.0444145
businessmen	0.0443881
architect	0.0442642
astronaut	0.0442502
spaceship	0.0440702
shuttle	0.0439418
gyroscope	0.0437457
campaigner	0.0436359
"fuel cell"	0.0435635
dealer	0.043498
historian	0.043462
"newspaper publisher"	0.043174
"social scientist"	0.0431584
"labor leader"	0.0430574
activist	0.04293
advertiser	0.0424736
banker	0.042448
"landing gear"	0.0422984
scout	0.0422056
"success story"	0.042161
foundation	0.0419687
educator	0.0419418
"legal expert"	0.0419253
"school district"	0.0418241
capitalist	0.0417941
staffer	0.0417139
entrepreneur	0.0417101
"labor union"	0.0416084
alumnus	0.0414765
substance	0.0413375
cheerleader	0.0413258
"intercontinental ballistic missile"	0.0410092
observer	0.0409249
watcher	0.0408924
Atlantis	0.0408173
operative	0.0407731
constituent	0.0405847
payload	0.0405775
projectile	0.040541
defender	0.0405373
lifeline	0.0404907
"football player"	0.0404659
lawmaker	0.0403703
aircraft	0.0400645
))
("booster rocket" (desc 3599.14) (sims
booster	0.136155
rocket	0.13063
"rocket engine"	0.112837
"space vehicle"	0.112303
"space probe"	0.0998305
"intercontinental ballistic missile"	0.0991394
spaceship	0.0965157
"Delta @"	0.0926415
"communications satellite"	0.0920174
"weather satellite"	0.089009
spacecraft	0.0876722
interceptor	0.0861861
"nuclear-powered submarine"	0.0831456
"surface ship"	0.0809704
endeavour	0.0802393
collider	0.0799489
"spy satellite"	0.0793474
Zvezda	0.0786937
"particle accelerator"	0.0782996
"fighter aircraft"	0.0759476
gunship	0.0755285
"Air France Concorde"	0.0752204
A@@@-@@@	0.0743563
"ballistic missile"	0.0738208
"Airbus A@@@"	0.0731095
Orbiter	0.0715325
module	0.0714507
motor	0.0712257
hovercraft	0.0709114
"American plane"	0.0704042
Learjet	0.0703395
airship	0.0698419
launcher	0.0681743
"military vehicle"	0.0678458
"atomic bomb"	0.0670675
warplane	0.0669688
"space capsule"	0.0655697
"artillery unit"	0.0651127
Atlantis	0.0650158
DC-@	0.0646982
B-@s	0.0643863
fighter-bombers	0.0637003
thruster	0.0636263
payload	0.0630253
"surface-to-air missile"	0.0627709
USAir	0.06263
gyroscope	0.0625761
"jet engine"	0.0625569
"fuel cell"	0.0622741
"propulsion system"	0.0622575
"Mars Climate Orbiter"	0.0621704
A@XX	0.0615996
hyphen	0.0612796
lifeboat	0.0606268
T-@@	0.0601772
"line of products"	0.0598027
Proton	0.0592478
"TWA Flight @@@"	0.0586443
weaponry	0.0582128
"EgyptAir Flight @@@"	0.0578624
"transport ship"	0.0578131
MiG-@@	0.0576135
torpedo	0.0575374
"landing gear"	0.0574387
spacesuit	0.0574002
cosmodrome	0.0572589
osprey	0.057222
F-@@	0.0566927
tugboat	0.0566546
Zarya	0.0555953
"attack submarine"	0.055436
"space station"	0.0548533
jetliner	0.0548
A@@@	0.0547083
S-@@@	0.0547003
Sputnik	0.0545927
"mainframe computer"	0.0542276
"oil tanker"	0.0542216
"freight car"	0.053984
"hot-air balloon"	0.0539757
howitzer	0.0539611
"ad blitz"	0.0532318
infantry	0.052947
"weapons system"	0.0529462
"supply ship"	0.0522416
jeep	0.0521658
glider	0.0520874
spectrometer	0.0520307
telescope	0.0518355
"rocket launcher"	0.0517373
artillery	0.051696
Mir	0.0515068
C-@@@	0.0514767
"transportation system"	0.0514641
"cargo ship"	0.0513458
"train ticket"	0.0513239
"patrol boat"	0.0513091
"patrol ship"	0.051169
"Alaska Airlines Flight @@@"	0.0511681
"International Space Station"	0.0509818
"storm cloud"	0.0509368
"neutron bomb"	0.0507202
"Airbus @@@"	0.0506926
"National Missile Defense"	0.0505774
capsule	0.0505399
"container ship"	0.0505165
"gas plant"	0.0504222
F-@@s	0.0504091
airliner	0.0502824
"personnel carrier"	0.050178
"atom bomb"	0.0501204
"sailing vessel"	0.050014
"radio transmitter"	0.0497689
warhead	0.0496145
gyro	0.0495658
turboprop	0.0492602
projectile	0.0492318
TU-@@@	0.0490911
"launch pad"	0.0490368
"athletic facility"	0.0489743
"air bag"	0.048889
"shipbuilding industry"	0.0486871
cannon	0.0484501
"Action Plan"	0.0484136
ValuJet	0.0480257
crewmates	0.0480112
Hindenburg	0.0479027
"UNIX operating system"	0.0478986
DC-@@	0.0478535
speedboat	0.047603
"weapon system"	0.0475829
"cable car"	0.0475295
rudder	0.0475154
"securities business"	0.0475084
Apache	0.0472278
"radio telescope"	0.0471618
destroyer	0.0470879
tanker	0.0470156
"data system"	0.0467124
mini-vans	0.0465081
frigate	0.046438
AN-@@	0.045617
"marketing program"	0.045588
MiG-@@s	0.0449052
"jet plane"	0.0447837
"early warning system"	0.0445979
sensor	0.0445816
catamaran	0.0445157
planetarium	0.0442283
"water heater"	0.0441484
"trading system"	0.0440382
homepage	0.0440103
"Swissair Flight @@@"	0.0439285
"proxy fight"	0.0438759
"intelligence operation"	0.0437246
"landing craft"	0.0437187
treehouse	0.043635
"pedestrian bridge"	0.0435944
chopper	0.0435918
icebreaker	0.043519
"point system"	0.0433552
"railway system"	0.0432256
ICBM	0.0430884
"passenger ship"	0.0429791
"credit system"	0.0429549
"domed stadium"	0.0428954
MD-@@s	0.0427825
landmine	0.0427609
"solar panel"	0.0426493
"horizontal stabilizer"	0.0425311
accelerator	0.0424922
B-@@	0.0424247
emulator	0.0423684
Grenade	0.042359
C-@@	0.0423317
afterburner	0.0423162
S@@	0.0421907
"Polar Lander"	0.0421905
materiel	0.042164
pullbacks	0.0421443
bulkhead	0.0420539
"pipe bomb"	0.0419664
"X-ray machine"	0.0419506
BSF	0.0418953
blimp	0.041893
armor	0.0418629
"Jeep Grand Cherokee"	0.0418039
"flight simulator"	0.0417703
"degree program"	0.0417213
motherboards	0.0416192
"computer program"	0.0415535
Tomahawk	0.0414282
"Ford Explorers"	0.0414174
"compact car"	0.0413889
"control system"	0.0412643
locomotive	0.0412302
"missile defense system"	0.0411352
router	0.041106
"preferred shares"	0.0410286
"Go Network"	0.0410214
))
(boosterism (desc 1777.04) (sims
"detective work"	0.0858223
self-promotion	0.0691618
fakery	0.0672023
"wishful thinking"	0.0650706
demagoguery	0.0628492
plagiarism	0.0624924
derring-do	0.0616465
theatrics	0.0609614
goofiness	0.0608854
Schmaltz	0.05858
"inferiority complex"	0.0574615
altruism	0.0569706
razzle-dazzle	0.0568257
sentimentality	0.0565148
pizazz	0.0559711
cantata	0.0557897
levity	0.0549778
slapstick	0.0545026
sadism	0.0530244
hokum	0.052739
favoritism	0.0518912
misnomer	0.0517467
guesswork	0.0516122
trashing	0.051427
mendacity	0.0511129
crowd-pleaser	0.0509329
reminiscence	0.0502182
"damage control"	0.050131
hubris	0.0501255
commercialism	0.0497683
"more than @ billion yuan"	0.0495337
trickery	0.0494021
"one billion US dollars"	0.0489576
introspection	0.0489437
"promotional material"	0.048702
unreality	0.0482438
exaggeration	0.0481246
audacity	0.0477008
iconography	0.0476159
baiting	0.047497
rip-off	0.0473878
rollovers	0.0472453
symbolism	0.0471054
idiocy	0.0470536
stagecraft	0.0469673
"sleight of hand"	0.0469377
belligerence	0.046921
"more than @@.@ billion yuan"	0.0468863
opportunism	0.0467409
anesthetic	0.0462259
cohesiveness	0.0462241
finger-pointing	0.0455332
"more than @.@ billion US dollars"	0.0452444
disunity	0.0452245
paranoia	0.0450522
gunslinger	0.0446042
"sales promotion"	0.0446027
realignments	0.0444521
artificiality	0.044369
"cost cutting"	0.0440826
opportunist	0.0438025
ugliness	0.0435006
huckster	0.0434653
realpolitik	0.0434035
melatonin	0.0431589
giddiness	0.0429316
"background noise"	0.0428532
soul-searching	0.0422973
irreverence	0.042211
"wonder drug"	0.041998
arm-twisting	0.0419596
"identity crisis"	0.0417021
adulation	0.0416361
headcount	0.0416024
"foot traffic"	0.041429
highflier	0.0409361
pragmatism	0.0408897
"vitamin C"	0.0407525
freeloader	0.0406275
relativism	0.0405182
Panache	0.0403704
tie-in	0.0402594
bigwig	0.0401641
imitator	0.0401211
personalization	0.0401147
"character assassination"	0.040113
longer	0.0400714
))
(boot (desc 44557.4) (sims
shoe	0.21103
sandal	0.204288
pant	0.183901
jacket	0.179722
sneaker	0.176601
"cowboy boot"	0.172552
sock	0.166748
shirt	0.166737
sweater	0.161737
hat	0.160699
loafer	0.158104
jean	0.156636
vest	0.154319
skirt	0.150158
coat	0.147414
sweatshirt	0.146989
parka	0.146152
"leather jacket"	0.145549
sunglasses	0.145529
"tennis shoe"	0.144088
trouser	0.143647
"cowboy hat"	0.142738
turtleneck	0.141099
T-shirt	0.14004
"baseball cap"	0.139978
"blue jean"	0.135762
blouse	0.131209
"polo shirt"	0.130308
"rubber boot"	0.129437
glove	0.129329
windbreaker	0.128688
scarf	0.128242
helmet	0.126847
overcoat	0.124592
slipper	0.123823
"running shoe"	0.121206
dress	0.120749
tunic	0.12065
beret	0.117432
khaki	0.114587
raincoat	0.112642
coverall	0.112412
Poncho	0.110084
underwear	0.109151
jumpsuit	0.108626
tights	0.10828
suit	0.107657
cloth	0.107193
uniform	0.107139
pullover	0.106253
slack	0.104666
miniskirts	0.103719
pajama	0.101474
handbag	0.101076
cleat	0.100893
mask	0.100067
cardigan	0.0997709
goggles	0.0996432
mitten	0.098764
pants	0.0987116
"combat boot"	0.0986651
"trench coat"	0.0984184
cap	0.0977365
"hot pants"	0.0975156
Clothing	0.0972107
backpack	0.0970623
stocking	0.0968861
wig	0.0967621
stiletto	0.0967262
bag	0.0961122
knickers	0.0960645
apron	0.0958172
legging	0.0957454
bandanna	0.09531
undershirt	0.0952243
trousers	0.0948422
suspender	0.0947693
"sport shirt"	0.09476
headband	0.0944652
"ski mask"	0.0934295
bra	0.0933523
jersey	0.0913489
robe	0.0903059
leather	0.0898109
"dark glasses"	0.089682
"sweat pants"	0.0896355
"straw hat"	0.0887836
gown	0.0886205
necktie	0.0884123
Outfit	0.0879647
blazer	0.0876283
"fur coat"	0.0867853
"bow tie"	0.08621
collar	0.0861576
heel	0.0857995
belt	0.0856319
fedora	0.0854758
hair	0.085061
sleeve	0.085046
bikini	0.0830858
"bathing suit"	0.0830574
"hard hat"	0.0824647
gear	0.0817836
"belt buckle"	0.0816696
Cape	0.0815557
"business suit"	0.0808499
corduroy	0.0805577
camisole	0.0802243
smock	0.0797727
bellbottoms	0.0796303
earring	0.0788099
"dress shirt"	0.0787518
shawl	0.0785934
bandana	0.0784521
sportswear	0.0783436
corset	0.0779167
"life jacket"	0.0777107
tuxedo	0.0774305
"shoulder pad"	0.0774193
glass	0.0771307
camouflage	0.0771185
headgear	0.0767985
"bulletproof vest"	0.0763722
"top hat"	0.0763455
denim	0.0761413
underpants	0.076094
"feather boa"	0.0760068
turban	0.0755663
shorts	0.0755654
blanket	0.075358
visor	0.0739362
swimsuit	0.0737455
short	0.0735972
mule	0.0725583
halter	0.0724531
gloves	0.0723011
lipstick	0.0716265
briefcase	0.0711783
"evening gown"	0.0710476
jewelry	0.0704609
Beard	0.0700194
pump	0.0699748
eyeglass	0.0698536
accessory	0.069595
garment	0.0692728
pantyhose	0.0677092
fingernail	0.0674624
"cocktail dress"	0.0674382
garb	0.067257
goatee	0.0671233
mustache	0.0662051
hose	0.0660335
costume	0.0658052
pad	0.0657199
bathrobe	0.0650116
panty	0.0649088
suitcase	0.0642524
chap	0.0642426
pantsuit	0.0640049
flip-flop	0.0639853
pouch	0.0638791
handkerchief	0.0633684
towel	0.0631851
necklace	0.0630093
footwear	0.062702
armband	0.0626757
haircut	0.0620902
nylon	0.062075
apparel	0.0619079
fur	0.0613279
"nail polish"	0.0610166
"sleeping bag"	0.0605801
braid	0.0605546
pair	0.0604495
Thong	0.060264
veil	0.0598336
box	0.0594165
bracelet	0.0594092
fabric	0.0593345
purse	0.0591003
sideburn	0.0589261
harness	0.0588552
silk	0.058631
wallet	0.058545
quilt	0.0582066
furniture	0.0581409
chair	0.0581269
skates	0.0580236
chiffon	0.0579921
umbrella	0.0577842
Bonnet	0.0576385
knife	0.0572723
makeup	0.0571932
suede	0.0570344
satin	0.056802
headdress	0.0567001
mattress	0.0564041
trunk	0.0561208
ponytail	0.0552659
armor	0.0552577
))
(booth (desc 52985.7) (sims
kiosk	0.118721
room	0.108139
tent	0.106898
shop	0.102191
stalls	0.101337
stall	0.0991767
pavilion	0.0958811
store	0.0944887
restaurant	0.093832
gallery	0.0920847
table	0.0900904
studio	0.0890445
cafe	0.0879603
desk	0.086077
apartment	0.085864
suite	0.0850956
cabin	0.0849136
exhibit	0.0846535
hall	0.0835761
"polling station"	0.0833247
Warehouse	0.0831733
hotel	0.0826299
garage	0.0825936
cubicle	0.0825728
"gas station"	0.0822227
box	0.0820919
"conference room"	0.0817234
kitchen	0.0811882
office	0.0799776
counter	0.0797031
building	0.0796724
trailer	0.0793562
"polling place"	0.0784296
ballroom	0.0782846
terminal	0.0780499
storefront	0.0777272
lounge	0.076931
house	0.0768372
bar	0.0761945
theater	0.075736
station	0.0753747
library	0.075199
bathroom	0.0747833
"press box"	0.0746525
parlor	0.0744324
"hotel room"	0.074219
chair	0.0739619
bedroom	0.0739057
Tower	0.0735907
"parking lot"	0.0733795
"dining room"	0.073244
"dressing room"	0.0732388
garden	0.0730111
space	0.0729399
classroom	0.0717848
seat	0.0717216
"living room"	0.0717169
supermarket	0.0716888
cafeteria	0.0715077
clubhouse	0.0708576
"gift shop"	0.0707516
"grocery store"	0.0704455
shack	0.070379
auditorium	0.0703166
gym	0.0702976
mall	0.0698898
window	0.069864
bookstore	0.0697865
dugout	0.0694754
"post office"	0.0694644
shelter	0.0694236
exhibitor	0.0694102
hut	0.0691218
center	0.0688991
display	0.0687757
elevator	0.0687356
home	0.0676087
bed	0.0672784
cottage	0.0670767
clinic	0.0666426
locker	0.066559
billboard	0.0665263
site	0.0664912
machine	0.0662125
park	0.0661003
boutique	0.0659199
courtroom	0.0656951
barn	0.0656758
cage	0.0656658
museum	0.0656413
fair	0.0656161
toilet	0.0653523
screen	0.0652482
"video screen"	0.0651224
car	0.0645496
"locker room"	0.0645292
showroom	0.0645041
gate	0.0644173
"office building"	0.0643194
closet	0.0641522
spot	0.0638718
hallway	0.0638498
arena	0.0637867
"department store"	0.0636701
outlet	0.0635175
vendor	0.0631578
Exhibition	0.0626329
chamber	0.0625532
arcade	0.0625018
workshop	0.0624327
"service station"	0.0622187
pub	0.0621261
barricade	0.0621244
wall	0.062028
floor	0.0619598
pew	0.0619438
seating	0.0619236
"bus stop"	0.0618551
lobby	0.0617991
door	0.0616133
chapel	0.0611147
armchair	0.0609491
stadium	0.060826
bus	0.0607704
plaza	0.0606939
bakery	0.0606727
factory	0.0605974
"convenience store"	0.0605399
"parking space"	0.0605004
"hardware store"	0.0604865
facility	0.0602282
bunker	0.0600165
"coffee shop"	0.059867
limousine	0.059795
corner	0.0597733
"exhibition hall"	0.059767
hangar	0.0597622
courtyard	0.0596227
checkpoint	0.0594102
platform	0.0593332
podium	0.0593257
basement	0.0590781
inn	0.0590743
mosque	0.0587885
venue	0.0586978
square	0.0586416
atm	0.0585483
motel	0.0585466
"theme park"	0.0584155
complex	0.0583602
section	0.0582441
nursery	0.0581929
dock	0.0581787
rack	0.0578398
church	0.0577584
"polling booth"	0.0576671
courthouse	0.0576501
row	0.0572088
restroom	0.0564696
gymnasium	0.0564374
bench	0.0562247
"art gallery"	0.0561729
"waiting room"	0.0561178
headquarter	0.0560254
"shopping center"	0.0558725
camp	0.0558509
"control room"	0.0557884
mansion	0.0557626
camera	0.0556459
palace	0.055532
microphone	0.055503
synagogue	0.0554363
"slot machine"	0.0554348
pit	0.0554067
"movie theater"	0.0552191
diner	0.0552039
"display case"	0.0550934
van	0.0549877
drugstore	0.0547415
pool	0.0547394
village	0.0546681
shelf	0.0546004
terrace	0.0543465
attraction	0.0543388
Casino	0.0543316
advertisement	0.0542899
bleachers	0.0542525
poster	0.0542184
balcony	0.0538646
shanty	0.053463
"travel agency"	0.0534567
"mobile home"	0.0533716
truck	0.0533715
roadblock	0.0532481
aisle	0.0531637
sanctuary	0.0530293
"police station"	0.0529563
aquarium	0.0529375
"operating room"	0.0528667
entrance	0.0528509
))
(bootlegger (desc 1700.85) (sims
spammers	0.0958719
snakehead	0.0787078
"con artist"	0.0699589
forger	0.0669919
"toy retailer"	0.0626681
brawler	0.0619589
"takeover attempt"	0.0614499
profiteer	0.0595248
poacher	0.0587353
speakeasy	0.0579465
counterfeiter	0.0578601
"exotic dancer"	0.0574958
womanizer	0.0572175
pimp	0.0566314
"bird watcher"	0.0562896
trafficker	0.0560941
CDnow	0.0551614
"big leaguer"	0.0549873
telemarketer	0.0547857
Reel.com	0.0544903
shoplifter	0.0539971
"security consultant"	0.0536596
TORTURER	0.0534918
"child molester"	0.0531249
part-timer	0.0529323
execs	0.0526164
schemer	0.0515613
"stock trader"	0.0514264
prankster	0.0513335
"order form"	0.0511915
"disk jockey"	0.0506385
"auto manufacturer"	0.0505126
looker	0.0503032
"talent agent"	0.0501127
Niedermayer	0.0501043
Toysmart.com	0.0496541
Qatari	0.0486838
"foul ball"	0.0486764
"Cincinnati Enquirer"	0.0486617
Coolio	0.0485023
"interior decorator"	0.0484175
resellers	0.0481208
interloper	0.0479953
swindler	0.0472754
Lithuanians	0.047129
passerby	0.04703
"school boy"	0.0467194
"computer store"	0.0465587
"farm boy"	0.0464331
searcher	0.0463296
Gunmakers	0.0463086
"Print Shop"	0.046065
vandals	0.0460614
"voting system"	0.0457417
perjurer	0.0457384
florist	0.0456823
autocrat	0.0456601
COS.	0.0455703
Wasdin	0.0454178
"drug lord"	0.0453655
woodworker	0.0450554
classifieds	0.0449965
logger	0.0449767
tenths	0.0447773
"information provider"	0.0446685
winemaker	0.0446189
trawler	0.0445435
grocer	0.044455
"film producer"	0.0444338
looter	0.0440984
"Amazon.com Inc."	0.0439535
Clothier	0.0437891
"publishing company"	0.0437379
infantryman	0.0435208
aphid	0.0433742
sportswriters	0.0432026
"gambling casino"	0.0430295
scalpers	0.0429006
"trading post"	0.0428578
"electric company"	0.0428096
superstore	0.0427573
"Royal Caribbean"	0.0426457
middlemen	0.0426233
townsfolk	0.0426049
"card holder"	0.0420121
"brokerage house"	0.0419638
"Jonathan Pollard"	0.0418682
mobster	0.0418193
"Hearst Corp."	0.0416675
Pacino	0.0415397
"delivery service"	0.0415039
stalker	0.0413811
Toysmart	0.0413476
minor-leaguers	0.0412537
politico	0.0411714
extortionist	0.0411482
birder	0.0410873
skyboxes	0.041018
Barrie	0.0410064
Barnesandnoble.com	0.0409882
pedophiles	0.0409473
"Hollywood studio"	0.0407063
"risk taker"	0.0407009
Rapist	0.0404881
REITs	0.0403735
"Gary Graham"	0.0403177
rowdiness	0.0402997
"con man"	0.0402171
"Macao Government"	0.0400761
highflier	0.0400252
))
(booty (desc 5680.53) (sims
loot	0.141756
yarmulke	0.0740453
resister	0.0620856
knickers	0.0607607
"ski mask"	0.0573706
spoils	0.0569657
"television revenue"	0.0555579
grandkids	0.0554963
oomph	0.0546319
"natural ability"	0.0543716
mitten	0.0532406
windbreaker	0.0514489
"heavy weapon"	0.0505087
sneaker	0.0501457
"golden parachute"	0.0496892
belonging	0.0492372
smock	0.0491249
contraband	0.0490657
"ransom money"	0.0490379
slipper	0.0483254
parka	0.047944
suspender	0.0475182
"Jeep Cherokee"	0.0473085
toolbox	0.0468808
paraphernalia	0.0465719
"boarding pass"	0.0462002
sunglasses	0.0460438
luggage	0.0454055
goggles	0.0452106
IDD	0.0442485
derriere	0.0441565
Bonnet	0.0441492
loafer	0.0440105
"first @@@"	0.0435847
"cowboy boot"	0.0435408
internment	0.0431415
"tax income"	0.0425884
bonbon	0.0425152
"face mask"	0.0423097
monies	0.0423009
stethoscope	0.0418057
suitcase	0.0413508
fatigues	0.0410831
"waste material"	0.0405244
beeper	0.0403714
spunk	0.0402788
"hard hat"	0.0401808
underwear	0.0401737
earring	0.0400301
))
(booze (desc 7831.99) (sims
alcohol	0.143997
liquor	0.13666
vodka	0.125191
whiskey	0.119584
Beer	0.0983302
"alcoholic beverage"	0.0929941
whisky	0.0924755
tequila	0.0887476
amphetamine	0.087224
rum	0.0869586
bourbon	0.0861592
Gatorade	0.0852696
champagne	0.0847474
Valium	0.0834401
soda	0.0815231
laxative	0.0802775
Cigar	0.0799427
"soft drink"	0.0793137
"mineral water"	0.0792044
LSD	0.0788133
methamphetamines	0.0783898
marijuana	0.076792
Chianti	0.0754569
Cognac	0.0734401
wine	0.0734284
cigarette	0.0734111
methamphetamine	0.0732701
scotch	0.073235
Evian	0.0721541
hashish	0.0721183
lemonade	0.0718531
caffeine	0.0716214
tobacco	0.071212
gin	0.0701099
"Diet Coke"	0.0698887
"spring water"	0.0696853
"hard drug"	0.069136
"alcohol abuse"	0.0684447
opiate	0.0675529
heroin	0.0673836
"Bud Light"	0.0672755
ecstasy	0.0672551
nicotine	0.0667817
beverage	0.0659831
morphine	0.0652841
cocaine	0.0651891
"sparkling wine"	0.0647201
"iced tea"	0.0645075
perfume	0.0645001
painkiller	0.0644842
candy	0.063931
aspirin	0.0638753
tranquilizer	0.0633282
contraband	0.0630004
"orange juice"	0.0629858
"cranberry juice"	0.0614072
"red wine"	0.0607593
stout	0.0603507
"Dom Perignon"	0.0600887
pill	0.0600171
narcotic	0.0590014
tea	0.0588922
chocolate	0.0584425
Pepsi	0.0584051
"ginger ale"	0.0582034
opium	0.057933
"white wine"	0.0578369
"soda pop"	0.0574926
coffee	0.0573745
coke	0.057365
juice	0.0570377
firearm	0.0566402
absinthe	0.0565116
"sleeping pill"	0.0563446
vitamin	0.0562807
generics	0.0562604
cola	0.0555104
placebo	0.0554958
gasoline	0.0553475
MDMA	0.0551232
detergent	0.0549296
cannabis	0.0547585
sedative	0.0538187
bratwurst	0.0536734
gambling	0.0536199
brandy	0.05328
"health food"	0.0531863
Beaujolais	0.0529213
"ice cream"	0.0528035
bubbly	0.0527628
shampoo	0.0526204
psychotherapy	0.0524621
pizza	0.0520523
"prescription drug"	0.0519301
"root beer"	0.0518857
guesswork	0.0517523
sushi	0.0515839
"money order"	0.0513274
firework	0.0510725
cider	0.0509137
Hamburger	0.0508533
drinking	0.0508497
methadone	0.0508047
"Coca Cola"	0.050452
condom	0.0504155
"Mountain Dew"	0.0501308
"potato chip"	0.0501217
adrenalin	0.0498949
Liquid	0.0494932
pretzel	0.0493916
VCD	0.04934
popcorn	0.0492215
liqueur	0.0491345
pornography	0.0489536
"apple juice"	0.0482042
"hot dog"	0.0482041
"prescription medicine"	0.0481277
"nitric acid"	0.0473445
jewelry	0.0470985
viagra	0.0470209
"California wine"	0.04681
pint	0.046771
nudity	0.0467427
"diesel oil"	0.046633
"powdered milk"	0.0466076
snack	0.0465651
soap	0.0462335
speakeasy	0.046172
"consumer goods"	0.0461358
ketchup	0.0458732
diaper	0.0457268
Prozac	0.0455
"ice water"	0.0454903
"growth hormone"	0.0454234
steroid	0.0453013
purifier	0.0452773
"water bottle"	0.045268
"cooking oil"	0.0452493
espresso	0.0448918
Martini	0.0448847
profanity	0.044835
"toilet paper"	0.0445667
"fruit juice"	0.044561
tablet	0.0445589
caviar	0.0444981
"theater ticket"	0.0442997
shakedown	0.0441316
"traveler's check"	0.0440097
"sour grapes"	0.0437816
"minority interest"	0.0435545
barbecue	0.0435249
lattes	0.0434254
"substance abuse"	0.0434031
"consumer electronics"	0.0433829
Riesling	0.0432112
"pet food"	0.0431756
LIPITOR	0.0430226
merlot	0.0430115
Chardonnay	0.0428389
cosmetic	0.0428198
vinegar	0.0427254
toupee	0.0423802
Porn	0.0423585
Cabernet	0.042287
"hypodermic needle"	0.042116
toiletry	0.0420243
stimulant	0.0419816
fertilizer	0.0419049
"hot chocolate"	0.041902
"baked goods"	0.0418449
"candy bar"	0.041602
refreshment	0.0415728
bleach	0.0415524
"train ticket"	0.0415059
yogurt	0.0414954
fizz	0.0413946
gunplay	0.041351
grocery	0.0413232
tamoxifen	0.0412304
syringe	0.041218
"Pepsi Cola"	0.0411485
Budweiser	0.0410913
newsprint	0.0409114
monogamy	0.0407592
paraphernalia	0.0407146
antibiotic	0.0405898
nacho	0.0405535
bagel	0.0404449
contraceptive	0.0404244
acid	0.0403973
"gas stove"	0.0402089
"cooking utensil"	0.0402033
lingerie	0.0400734
))
(boozer (desc 1035.87) (sims
"draft dodger"	0.0752997
Brinkman	0.0652552
raconteur	0.0634743
Moiso	0.0607332
manipulator	0.060499
"Jerome Moiso"	0.059771
Philanderer	0.0596596
perjurer	0.0594656
swindler	0.0573039
hothead	0.0554409
cheater	0.0538746
clarinetist	0.0536878
Cepeda	0.0536004
charlatan	0.0526903
hobbyist	0.0525777
animator	0.0518857
Hargrove	0.050655
nonsmoker	0.0506431
whiner	0.0501227
Mahomes	0.0494147
"beer drinker"	0.0488298
ornithologist	0.047923
Mucha	0.0477583
malcontent	0.0471293
"Jason Kapono"	0.046218
experimenter	0.0461227
Westbrook	0.0460498
Schafer	0.0460183
VCs	0.0459254
Pulsipher	0.0454478
oddsmakers	0.0452062
Majerle	0.0451397
denier	0.0450592
"public speaker"	0.0446087
meccas	0.0443784
Elarton	0.0442742
"computer expert"	0.0437337
"market watcher"	0.0432657
horseman	0.0430045
"Sean Farnham"	0.0430042
Brogna	0.0423233
Striver	0.0422768
"Michael Vick"	0.0422407
marathoner	0.0418505
weirdo	0.0417726
marksman	0.0417219
gyro	0.0416847
indies	0.0414156
"Breda Kolff"	0.0414058
Windom	0.0412745
"work group"	0.0412452
Opry	0.0408925
"Sultan McCullough"	0.0408554
"Brandon Granville"	0.0408434
"jazz band"	0.0407623
Grahame	0.040685
triathlete	0.0406784
"rock climber"	0.04066
Irishmen	0.0405512
bloomers	0.0405189
"little leaguer"	0.0404979
botanist	0.0403867
"phone jack"	0.0403421
instrumentalist	0.0403341
Duane	0.0403253
Spiers	0.0402613
Gadzuric	0.0402279
Nilsson	0.0401696
"Sam Clancy"	0.0400624
))
(bop (desc 2220.05) (sims
bebop	0.128534
"balance of payments"	0.121997
Zydeco	0.0993873
klezmer	0.0952462
bluegrass	0.0914399
"current account"	0.0814961
"balance of trade"	0.0770813
merengue	0.074256
Reggae	0.0735407
mariachi	0.0732906
"trade balance"	0.0732534
mambo	0.0720353
polka	0.0719223
"big band"	0.0681097
API	0.0663428
"Tin Pan Alley"	0.0642288
"dance band"	0.0640327
salsa	0.06387
SKA	0.0633534
calypso	0.0627943
Afro-Cuban	0.0617161
techno	0.0597156
rhythm-and-blues	0.0593095
seven-point	0.0577803
Ellington	0.0562243
"four key"	0.0556056
"R&AMP;B"	0.0541943
waltz	0.0536309
shag	0.053553
fallback	0.05283
debit	0.0512114
electronica	0.0508353
SDMI	0.0497899
flamenco	0.0496465
uptempo	0.0493199
two-step	0.0487441
six-point	0.0485341
ballooning	0.0482741
honky-tonk	0.0472813
boogie	0.0470854
similiar	0.0461891
"moral hazard"	0.046171
GNP	0.046107
second-quarter	0.0460709
"folk music"	0.0456712
lastest	0.0456198
"five key"	0.04552
Chorale	0.044802
nine-point	0.0446042
sounder	0.0442112
"year end"	0.0439869
Cha	0.0439851
yearend	0.0437947
"Jekyll and Hyde"	0.0431101
zillion	0.0430915
"rock and roll"	0.0430347
"two key"	0.0429222
eight-point	0.0429018
NPLs	0.0428526
humpback	0.0428504
"U.S. Census Bureau"	0.0423266
one-point	0.0420748
Motown	0.041978
squatting	0.0417266
five-point	0.0415302
rom	0.0412933
CBO	0.041203
MANA	0.0411679
"avant garde"	0.0411423
four-point	0.041067
))
("Bora Milutinovic" (desc 994.9) (sims
"John Robinson"	0.28435
"P.J Carlesimo"	0.257707
"Mike Dunleavy"	0.246584
"Norv Turner"	0.244391
"TOM COUGHLIN"	0.239102
"Scotty Bowman"	0.229261
"Walter Zenga"	0.223939
"Lenny Wilkens"	0.223064
"Lou Holtz"	0.216244
"Paul Westphal"	0.215274
"Steve Mariucci"	0.214275
"Ken Hitchcock"	0.211983
"Chris Palmer"	0.211932
"George Seifert"	0.211634
"Ray Rhodes"	0.205939
"Dick Vermeil"	0.205083
"Pat Burns"	0.204517
"Glenn Hoddle"	0.20222
"Tim Floyd"	0.20207
"Chan Gailey"	0.201352
"Jerry Sloan"	0.200086
"John Thompson"	0.194626
"Jim Harrick"	0.194625
"Del Harris"	0.194017
"Don Baylor"	0.193956
"Rick Neuheisel"	0.191856
"Mike Holmgren"	0.189415
"Mike Shanahan"	0.188686
"Don Shula"	0.187871
"George Karl"	0.186191
"Vince Lombardi"	0.185767
"Al Groh"	0.183211
"Larry Brown"	0.180863
"Barry Switzer"	0.177513
"Don Zimmer"	0.177453
"Mack Brown"	0.174212
"Mike Ditka"	0.17368
"Dennis Erickson"	0.169305
"Jimmy Johnson"	0.169078
"Dom Capers"	0.168295
"Rudy Tomjanovich"	0.16135
"Dennis Green"	0.158285
"Tony Dungy"	0.15817
"Kevin Keegan"	0.157197
"Jeff Van Gundy"	0.156375
"Dan Reeves"	0.154953
"Dick Jauron"	0.152552
"Tom Landry"	0.151945
"Mike Martz"	0.151104
"Rich Brooks"	0.150463
"Pete Carroll"	0.150217
"Chuck Daly"	0.148224
"Bill Cowher"	0.146562
"Jim Calhoun"	0.144884
"Dave Cowens"	0.143933
"John Calipari"	0.1434
"Bob Knight"	0.14118
"Ruud Gullit"	0.139015
"Pat Riley"	0.138583
"Dave Wannstedt"	0.138549
"Doc Rivers"	0.136715
"Tom Osborne"	0.13364
"Willie Randolph"	0.13252
"Don Nelson"	0.130519
"Brian Billick"	0.130233
Sampson	0.128651
"Mel Stottlemyre"	0.128562
"Bill Belichick"	0.127966
"Mike Hargrove"	0.127933
"Phil Jackson"	0.127184
Milutinovic	0.127124
Haskins	0.125791
Venables	0.125698
"Tommy Bowden"	0.125675
"Mike Krzyzewski"	0.1255
"Bill Walsh"	0.123999
Cremins	0.122762
"Bill Parcells"	0.121529
Wilkens	0.121404
Robson	0.120105
Schaeuble	0.120031
"Wolfgang Schaeuble"	0.120002
"Larry Bird"	0.119563
Talebi	0.118227
Ponciano	0.117429
"Steve Spurrier"	0.116983
"Clyde Drexler"	0.116939
"Dean Smith"	0.11687
"Kurt Rambis"	0.116445
Harrick	0.116288
"June Jones"	0.115802
"Bela Karolyi"	0.115586
"Jim Leyland"	0.112672
DeBerg	0.112631
"Butch Carter"	0.112026
"Dave Campo"	0.112021
"Dennis Johnson"	0.111138
"Tom Davis"	0.111109
"Tony Coelho"	0.110969
"Lou Dobbs"	0.110091
Iger	0.108719
"Colin Campbell"	0.10859
Dudayev	0.106773
"John Smith"	0.105776
Landry	0.105281
"Rick Pitino"	0.105077
"Bobby Bowden"	0.104524
"Joe Gibbs"	0.103709
"Steve DeBerg"	0.103598
Oliveira	0.102308
Zambrano	0.102087
Vermeil	0.102086
"Frank Joklik"	0.101904
Verney	0.101624
Byrdsong	0.101272
Holtz	0.100434
"Red Auerbach"	0.100378
Layden	0.0991472
"Renato Ruggiero"	0.09883
"Rod Carew"	0.0974948
"Isiah Thomas"	0.0968789
"Juan Antonio Samaranch"	0.0968694
Rodionov	0.095597
Hartsburg	0.0955794
"Abdollah Nouri"	0.095463
"Glen Sather"	0.095064
Rongen	0.0940142
"Fred Claire"	0.0938782
Schottenheimer	0.0936271
Holmgren	0.0935004
"Boutros Boutros-Ghali"	0.0932595
Havelange	0.0930662
Spurrier	0.0927703
Taubman	0.0921577
"Amnuay Virawan"	0.092091
Blazevic	0.0920684
Zenga	0.0920193
Coelho	0.0917253
"Michel Camdessus"	0.0917097
"Kim Jong-pil"	0.0916031
Ribbeck	0.0914276
Fassel	0.0908178
Belichick	0.0907536
Warshaw	0.0904116
"Paul Silas"	0.0903499
"Doug Pederson"	0.0895934
"Bobby Knight"	0.0895068
Hiddink	0.0894265
Mukora	0.0891785
"Ernie Grunfeld"	0.0888894
"Johan Cruyff"	0.0888339
"Tim Johnson"	0.0887441
Bulatovic	0.0884857
Coughlin	0.0877906
Gailey	0.0872993
Wannstedt	0.0871252
Milbury	0.0869425
Keenan	0.0868173
"Aryeh Deri"	0.085938
Passarella	0.0858889
"Mike Scioscia"	0.0857283
"Charles Gibson"	0.0854174
Barnett	0.0845746
Vogts	0.0842958
Donnan	0.0841698
Sato	0.0839213
Harmoko	0.0837569
Blackmun	0.083648
Graziani	0.0832625
Canty	0.0829973
"Terry Allen"	0.0827142
NCEC	0.0822724
Gauthier	0.082101
"Davey Johnson"	0.0820199
Drexler	0.0819611
Yandarbiyev	0.0814516
"Roy Williams"	0.0812842
"Robert Aventajado"	0.0802142
"Mikhail Shtalenkov"	0.0798563
Callaghan	0.0797171
Kilborn	0.0796011
Napolitano	0.0795372
"Russ Ortiz"	0.0792746
Catacosinos	0.0792503
Murayama	0.0789797
"Terry Collins"	0.0788046
"Tex Winter"	0.0781084
Billick	0.0777883
Donahue	0.0773201
"Rolf Ekeus"	0.0772973
Groh	0.0772227
"Glenn Hoffman"	0.0769742
Tarawneh	0.0767893
Schoenfeld	0.0766916
"Daim Zainuddin"	0.0763051
Yadav	0.0762005
Megret	0.0761684
Stepashin	0.0759547
"Felipe Alou"	0.0757404
Ruthardt	0.0757064
))
(BORAS (desc 3182.54) (sims
Falk	0.124317
McCurry	0.108171
Kornberg	0.107703
Cashman	0.0991981
Torre	0.0887862
Whitsitt	0.0877862
"Scott Boras"	0.086853
Polian	0.0865386
Walser	0.0850998
Zucker	0.0850798
Caddell	0.0817527
"de Charette"	0.0811216
Narayanan	0.0808835
Reimer	0.0806814
Hunsicker	0.0806285
Margolis	0.0805043
Bolger	0.0803098
Ikimi	0.0800568
Wolfensohn	0.079049
LaPierre	0.0787665
Singson	0.0787096
Alioto	0.078665
Duquette	0.0780654
Azizah	0.0780235
Engelberg	0.0764174
Kerrigan	0.0763103
Luethke	0.0762925
Malu	0.0759068
Hirsch	0.0756805
Jovanovic	0.0755925
Demaci	0.0749342
Tarawneh	0.0747247
Jaffe	0.0745934
Finkel	0.0736505
Advani	0.0731141
Gartner	0.0730615
Ebersol	0.0728653
Rambis	0.0728434
Muckler	0.0728413
O'Connell	0.0727508
Whipple	0.0718613
Flanagan	0.0717946
Alatas	0.0717942
Klima	0.0715283
Kingsley	0.0713604
Hamlin	0.0713188
Waxman	0.0711992
Steinbrenner	0.0711864
Mariucci	0.0711498
Tevanian	0.0709369
DERSHOWITZ	0.0709176
Bustamante	0.0706396
Reinsdorf	0.0703928
Ritter	0.0703876
Schmid	0.0703235
Riley	0.0702388
Levin	0.0697605
Hodler	0.069524
Aventajado	0.0694533
Schwartz	0.0694478
Manley	0.0694094
Zou	0.0692104
Aziz	0.0691869
Vedrine	0.0690713
Esser	0.0689195
Colburn	0.0688658
Rossello	0.0678795
Jayakumar	0.0678281
Lehane	0.0678267
Hybl	0.0676988
Meissner	0.0665985
Burt	0.0665954
Strauss-Kahn	0.0663348
"defense lawyers"	0.0656854
Gallinger	0.0655955
Alderson	0.0655175
Barksdale	0.0654625
Wilhelm	0.0649316
Bettman	0.0647458
Gossage	0.064639
Bowden	0.0644518
Kennard	0.0637565
McIlvaine	0.0635188
Abdel-Meguid	0.0632804
Cohen	0.0632152
Nicholson	0.0631434
Piniella	0.0631135
Pitino	0.062858
Esposito	0.0626121
Scalfaro	0.0624352
Stossel	0.0624124
Gullikson	0.0623394
Rothenberg	0.0622669
Kissinger	0.061962
Baum	0.0619481
Cooley	0.0619409
Heinrichs	0.0618151
Lockhart	0.0616197
Gutman	0.0614749
Insulza	0.0612506
Fiorina	0.0611572
Tellem	0.0611201
Sung	0.0610298
Khai	0.0610172
Orban	0.0607967
Rubin	0.0607674
Cato	0.0607485
Brister	0.0605108
D'Alessandro	0.0604897
Ruff	0.0604751
Ainge	0.0603243
Piot	0.0600959
Blyth	0.0599955
noone	0.059976
Allchin	0.0598885
Monson	0.0598594
Drew	0.0595119
Cleary	0.0594976
Siazon	0.0593656
Talebi	0.0592084
Kessler	0.0592058
Shamshad	0.0591826
Nickerson	0.0588167
Cronin	0.0587637
IMG	0.0586986
Shoate	0.0585468
Carroll	0.0584727
Rosenthal	0.0584547
Shen	0.0580317
Moseley	0.0580146
"Brian Cashman"	0.0579198
Mkapa	0.0576264
Tsang	0.057577
Farber	0.0574924
Shareh	0.0574323
Currie	0.0573074
Zimmer	0.0573023
Gaston	0.057198
McLane	0.0569517
Condit	0.0569226
Tagliabue	0.0568773
Kostov	0.0568748
Prewitt	0.0567103
Skiles	0.0566279
Cowens	0.0563917
nance	0.0563459
McNamara	0.0563039
Solis	0.0562777
"Mike Hargrove"	0.0562002
Hartsburg	0.0561891
Goossen	0.0561622
Daft	0.0561305
Weis	0.0560713
Nateq-Nouri	0.05604
Kharrazi	0.0560338
Reilly	0.0558081
Korman	0.0557397
Beilin	0.0557144
Fassel	0.0553863
Carollo	0.055313
Leghari	0.0550905
Daly	0.0550353
Ditka	0.0549838
"President Lee Teng-hui"	0.0549664
Pryor	0.054955
Edelman	0.05494
McManus	0.0548442
Qian	0.0548073
Stoyanov	0.0546811
DiMaggio	0.0546435
Maritz	0.0546165
"Drought Relief Headquarters"	0.0544694
Podesta	0.0544299
Fleisher	0.0544254
Steinberg	0.0543898
Bronfman	0.0543689
Freeh	0.0543418
Goldin	0.0543396
Lockwood	0.0543136
Ruggiero	0.0541313
Hevesi	0.0541206
Tuberville	0.0539968
Gonzales	0.053864
Nasrallah	0.0535912
Pastrana	0.0535652
Nemtsov	0.0535433
Wyatt	0.0535005
Esrey	0.0534235
Fleischer	0.0534234
Rudman	0.053402
Kerry	0.0532653
Parks	0.0532434
Sponeck	0.0531979
Hess	0.0531733
Belichick	0.0530923
Harr	0.0530347
Sakakibara	0.0530098
Magaziner	0.0528879
CAA	0.0528691
Grachev	0.052837
))
(Borbon (desc 887.876) (sims
Perisho	0.229158
Mahomes	0.2236
Checo	0.216882
D'Amico	0.180095
Herges	0.179166
Meche	0.172135
Heredia	0.170456
Crabtree	0.168944
Schourek	0.16758
Daal	0.165949
Etherton	0.162433
Bottenfield	0.162086
Petkovsek	0.161373
Halama	0.156664
Contreras	0.155732
Grimsley	0.15479
Rusch	0.154456
Burba	0.153147
Gagne	0.153102
Suppan	0.151545
Percival	0.150802
Masaoka	0.150211
Saberhagen	0.149077
Elarton	0.148785
Ligtenberg	0.148039
Cormier	0.147585
Fassero	0.147296
Moyer	0.146953
Dempster	0.14545
Mussina	0.145412
Garces	0.14517
Pavano	0.144083
Eldred	0.143875
Benitez	0.143516
Wohlers	0.142724
Seanez	0.142628
Appier	0.142466
Dotel	0.142351
Parris	0.140548
Mercker	0.140384
Schoeneweis	0.13815
Rueter	0.136865
Osuna	0.136671
Dreifort	0.135424
Ankiel	0.134481
Cordero	0.134163
Woodard	0.13386
Gooden	0.133359
Zito	0.131661
"Matt Mantei"	0.131513
"Paul Shuey"	0.130621
Tapani	0.130537
Trachsel	0.130221
Olivares	0.129316
Kile	0.128932
Mlicki	0.128667
Sele	0.128419
Millwood	0.127347
"Kirk Rueter"	0.127256
Astacio	0.127056
McMichael	0.126236
Langston	0.125668
Hasegawa	0.125598
Timlin	0.125106
Koufax	0.124657
Benes	0.124121
Chouinard	0.123441
"Woody Williams"	0.122809
Wakefield	0.122237
Belcher	0.12191
"Russ Ortiz"	0.121385
Nagy	0.121101
"Russ Springer"	0.121012
Mendoza	0.120601
Bohanon	0.120567
Barros	0.120547
"Brian Moehler"	0.120355
"Jamey Wright"	0.120192
Reynoso	0.120033
Hermanson	0.119863
Sasaki	0.119834
Bere	0.119672
Yarnall	0.119644
Wetteland	0.119387
Leiter	0.118914
Dickson	0.118757
Stottlemyre	0.118428
Hentgen	0.117904
Valdes	0.117741
McDOWELL	0.116977
Hershiser	0.115748
Glavine	0.115253
Remlinger	0.115025
Helling	0.114244
Nen	0.113795
Mulholland	0.113707
Radke	0.113462
Moehler	0.11336
estes	0.11311
"Robb Nen"	0.112633
Pettitte	0.111713
"Dan Miceli"	0.111426
Casas	0.111414
Washburn	0.111345
Sojo	0.111278
Wasdin	0.110714
Ainge	0.110417
"Jose Paniagua"	0.110158
"Ugueth Urbina"	0.109934
Loaiza	0.109149
Rubenstein	0.108599
Glynn	0.107919
"Todd Jones"	0.107746
"Kazuhiro Sasaki"	0.107546
Pulsipher	0.106736
"Turk Wendell"	0.106645
"Danny Graves"	0.106598
Burkett	0.106336
"Byung-Hyun Kim"	0.106259
"Jesus Sanchez"	0.106179
Cloude	0.105921
"Dustin Hermanson"	0.105842
Harnisch	0.105802
"Derek Lowe"	0.104172
"Ryan Dempster"	0.103781
"Shigetoshi Hasegawa"	0.103628
Lieber	0.10342
Wendell	0.103069
"Chris Carpenter"	0.10283
Isringhausen	0.102761
Solis	0.102641
"Rich Rodriguez"	0.10207
Lafleur	0.101822
Tomko	0.101091
Zimmerman	0.100816
Guzman	0.100804
"Jon Lieber"	0.100794
"Jason Schmidt"	0.100624
"Brian Bohanon"	0.100189
"Scott Sullivan"	0.100059
"Jason Christiansen"	0.0996685
"Matt Morris"	0.0996227
McCown	0.0993646
"Gregg Olson"	0.0992572
"Paul Abbott"	0.0992398
"Bryce Florie"	0.0987073
Orosco	0.098697
"Jeff Brantley"	0.0986071
"Mike Jackson"	0.0982955
"first pitcher"	0.0982649
Brantley	0.0980289
Radinsky	0.0980173
"Mike Sirotka"	0.097735
Mantei	0.0973541
Canty	0.0972266
Avery	0.0970687
"Eric Milton"	0.0970677
Paniagua	0.0968615
Vazquez	0.0965519
"Jose Jimenez"	0.0963707
"Javier Vazquez"	0.0962619
Sheedy	0.0962281
Bodine	0.0961481
Reyes	0.0960887
"Bob Wickman"	0.095805
Macoris	0.0956659
"Mark Guthrie"	0.0954889
"Randy Myers"	0.0954143
"Mark Leiter"	0.09521
"Pedro Astacio"	0.0951538
Inman	0.0951162
"Brian Rose"	0.0951061
"Jesse Orosco"	0.0950915
Ganassi	0.0950878
Candiotti	0.0950122
"DOUG JONES"	0.0948075
"Chuck McElroy"	0.0947107
Smoltz	0.0945039
Finley	0.0944818
Okada	0.0937599
Erickson	0.093579
"Jose Mesa"	0.0934473
Neagle	0.0932865
Irabu	0.0930471
"Rick Aguilera"	0.0929932
Hatteberg	0.0929421
Stephenson	0.0928828
"John Franco"	0.0927654
"Jeff Weaver"	0.092403
"Allen Watson"	0.0923092
"Dave Mlicki"	0.0922543
Meadows	0.0921677
"Rich Garces"	0.0919852
Ortiz	0.0919485
"Jamie Moyer"	0.0917717
"Jim Parque"	0.0915643
Moakley	0.091335
"Ramon Ortiz"	0.0911876
Guerra	0.0909776
"Pat Rapp"	0.0907284
))
(Bordeaux (desc 21560) (sims
Lyon	0.19824
Marseille	0.178073
Montpellier	0.177797
Nantes	0.168538
Rennes	0.159008
Toulouse	0.155005
Strasbourg	0.146376
Lille	0.133678
Nice	0.126467
Metz	0.124624
Marseilles	0.107095
Monaco	0.107065
"Olympique Marseille"	0.105163
Auxerre	0.103694
SAINT-ETIENNE	0.103211
Porto	0.102376
Bastia	0.101846
Grenoble	0.100639
"Bordeaux wine"	0.0945503
Rhone	0.0931451
Toulon	0.0921664
Barcelona	0.0916687
Madrid	0.0903574
Avignon	0.0887573
Paris	0.0859875
Bologna	0.0851318
Dijon	0.0847444
Liverpool	0.0840685
Munich	0.0839635
Brondby	0.0835449
Valencia	0.0829289
Stuttgart	0.082909
Saint-Denis	0.0817383
lens	0.0806095
Charleroi	0.0800127
Necaxa	0.0790357
Cologne	0.0787771
"Atletico Madrid"	0.0780784
Parma	0.0769851
LISBON	0.0761084
Seville	0.0760226
Chardonnay	0.0758758
Mallorca	0.0758526
"Napa Valley"	0.0756982
Istanbul	0.0755371
Bari	0.0753883
"Paris St Germain"	0.075175
merlot	0.0749478
Helsinki	0.0746608
Burgundy	0.0745869
Benfica	0.0740779
Schalke	0.0740763
Riesling	0.0735811
KIEV	0.073355
Hamburg	0.0732366
Bilbao	0.0730993
Ajax	0.0730633
"Sebastien Grosjean"	0.0726723
Galatasaray	0.0725247
Milan	0.0724992
"Borussia Dortmund"	0.0719434
Feyenoord	0.0717519
Juventus	0.0716838
Amsterdam	0.0715798
Beaujolais	0.0711882
STOCKHOLM	0.0710454
ZAGREB	0.070719
"Real Madrid"	0.0703313
PALERMO	0.0697442
Heerenveen	0.0696988
BUCHAREST	0.069671
Rome	0.0695905
BUDAPEST	0.0693694
Kaiserslautern	0.0692554
"Pinot noir"	0.0690838
Zaragoza	0.0689855
Bremen	0.0689337
"Dalian Wanda"	0.0687143
"Egyptian capital"	0.0686465
Zurich	0.0685856
Udinese	0.0677879
"Cape Town"	0.0670008
Copenhagen	0.0668358
"Schalke @@"	0.0667284
ATHENS	0.0666031
Cabernet	0.0666005
Besiktas	0.0665898
"Manchester United"	0.0662937
"PSV Eindhoven"	0.0657259
Panathinaikos	0.0657232
"Sao Paulo"	0.0656293
Vienna	0.0655721
Berlin	0.0655113
"Celta Vigo"	0.0654409
Prague	0.0653722
Turin	0.0653179
wine	0.0652558
Anderlecht	0.0652121
"Bayer Leverkusen"	0.0648149
BOGOTA	0.064737
Dublin	0.0644182
Frankfurt	0.0642823
Glasgow	0.0640684
Rostock	0.0638956
Alsace	0.0638857
"Bayern Munich"	0.0636827
"Amelie Mauresmo"	0.0636382
Osaka	0.0634022
Lausanne	0.0633466
Leeds	0.0632856
"Guillaume Raoux"	0.0632383
"Inter Milan"	0.0632185
"Sonoma County"	0.0630552
BRUSSELS	0.0630341
Espanyol	0.0629853
"Jerome Golmard"	0.0629773
"San Salvador"	0.0627446
Cannes	0.0627282
"Buenos Aires"	0.0624857
"Spartak Moscow"	0.062277
Fiorentina	0.0622704
"Werder Bremen"	0.0621901
Chianti	0.0621712
Inter	0.0620087
"Shanghai Shenhua"	0.0619716
"Rio de Janeiro"	0.0616782
"Ajax Amsterdam"	0.0615026
SOFIA	0.0614148
SEOUL	0.0613027
Peshawar	0.0612093
corinthian	0.0609034
Florence	0.0608851
"Velez Sarsfield"	0.0608847
Guadalajara	0.0607413
Zinfandel	0.0606108
Durban	0.0605017
Middlesbrough	0.0603872
"Fabrice Santoro"	0.060281
"Borussia Moenchengladbach"	0.0602022
Lyons	0.0601532
Verona	0.0600689
"AC Milan"	0.0597124
"San Lorenzo"	0.0596405
BRATISLAVA	0.0595742
"Slavia Prague"	0.0595208
Spartak	0.0594921
Perth	0.0594664
Taipei	0.0594316
"VfB Stuttgart"	0.059425
"Kuala Lumpur"	0.0593745
Dortmund	0.0593616
"Sandrine Testud"	0.0593436
Gremio	0.0592704
Atletico	0.0591795
Oslo	0.0591676
Brisbane	0.0591375
Watford	0.0591338
"Nathalie Dechy"	0.0590173
Southampton	0.0590036
Manchester	0.0586567
Rotterdam	0.0586277
"Real Sociedad"	0.0585216
Belfast	0.0583174
MELBOURNE	0.0582532
"Ho Chi Minh City"	0.0581416
Santiago	0.0580805
Perugia	0.057788
Pretoria	0.0576607
Auckland	0.0576564
Napa	0.0576396
Krasnoyarsk	0.0575726
"Cedric Pioline"	0.0575629
RAMBOUILLET	0.0574834
champagne	0.057098
CARACAS	0.0570754
Cognac	0.0569697
Cardiff	0.0567569
Karlsruhe	0.0566664
JOHANNESBURG	0.056661
Salzburg	0.056548
Minsk	0.0564468
"River Plate"	0.0563046
Newcastle	0.0562739
Chelsea	0.0562458
Montreal	0.0562213
Betis	0.0562017
Sydney	0.0561762
Dushanbe	0.0561517
Birmingham	0.0560673
Uruguay	0.0558802
Calgary	0.0558181
Olympiakos	0.0554991
Salernitana	0.0553745
"Anne-Gaelle Sidot"	0.05536
"Newcastle United"	0.0552447
Independiente	0.0549582
Maseru	0.0548963
"Julie Halard-Decugis"	0.0548896
Sunderland	0.0548708
Palmeiras	0.0548344
))
("Bordeaux wine" (desc 865.593) (sims
"California wine"	0.148708
CPO	0.0949031
Bordeaux	0.0945503
"Far Eastern"	0.0881693
lysine	0.0881194
"citric acid"	0.078597
bullion	0.0775821
"precious metal"	0.0732284
"palm oil"	0.0714417
Chianti	0.0709395
Beaujolais	0.0706009
"soybean oil"	0.0666481
"fish meal"	0.0657077
"Near East"	0.0650302
dram	0.0649796
"sparkling wine"	0.0646882
tequila	0.0638354
newsprint	0.0637693
timepiece	0.0637422
"memory chip"	0.063388
"Free World"	0.0628765
palladium	0.0624113
Cognac	0.0620582
Cabernet	0.0617912
"picture tube"	0.0614189
"metric ton"	0.0612504
"convenience food"	0.0607559
cashew	0.0605779
"Pacific Rim"	0.0600185
eco	0.058429
seismology	0.0578921
Burgundy	0.0578351
beany	0.0578058
Riesling	0.0577798
ergonomics	0.0568981
"rare earth"	0.0559803
"steel plate"	0.0557141
Amish	0.0552403
VCD	0.0548698
"alcoholic beverage"	0.0548172
"white wine"	0.0544821
"Middle Eastern"	0.0544164
"Dom Perignon"	0.0542874
"scientific instrument"	0.0540326
TCM	0.0532432
"bicycle race"	0.052608
inter-Arab	0.0523739
gemstone	0.0521838
"fire sale"	0.0521456
ginseng	0.0515141
malt	0.0513157
"coffee bean"	0.0511431
FOREX	0.0508864
"diesel oil"	0.0506701
jute	0.0503775
collectibles	0.0502744
physicals	0.0498495
abortionist	0.0498182
gyro	0.0495098
"passenger car"	0.0494874
"penny stock"	0.0491512
"a la carte"	0.0491335
"black tea"	0.0490832
"steel wool"	0.0490422
cacao	0.0489646
woodworking	0.048903
"symphony orchestra"	0.0487869
"belly dancer"	0.0487094
goalpost	0.0486277
marque	0.0483684
"household appliance"	0.0476705
team.	0.0474092
"steam locomotive"	0.0472928
REITs	0.0471817
cricketer	0.0471459
"consumer electronics"	0.0470246
Arab-American	0.0468122
sugarcane	0.0466973
miler	0.046581
"junk bond"	0.0465221
LNG	0.046499
"home appliance"	0.0462448
tungsten	0.0462055
LPG	0.0459782
bullfighter	0.0459644
Zinfandel	0.0454984
cashmere	0.0453301
"wind power"	0.0453003
"cut of meat"	0.0452806
woodworker	0.0452408
"Silk Road"	0.0451397
urea	0.0451297
bitumen	0.04512
"compact car"	0.0449443
Burley	0.0448719
Sino-French	0.0448004
Kaliningrad	0.0447891
Sino-African	0.0447136
"supper club"	0.0445709
"municipal bond"	0.0445694
"Pinot noir"	0.0444155
"smoked salmon"	0.0443872
"Palm III"	0.0443128
Buicks	0.0441307
Mekong	0.0440726
"liquefied petroleum gas"	0.0440565
"dog show"	0.0440558
"pass catcher"	0.0440499
"pirate ship"	0.043626
"ball club"	0.0436174
"dead person"	0.0435969
Shangri-la	0.0435969
"Western Pacific"	0.0435716
"Asia Pacific"	0.0435565
"horse race"	0.0434862
"Andean Group"	0.0433589
subspecies	0.0431154
"opera star"	0.0431097
polypropylene	0.0430955
CGI	0.0430874
Rockettes	0.0430031
brie	0.0429354
Kansan	0.0427953
REIT	0.0427827
"white flag"	0.0427553
"city planning"	0.0426839
"B&AMP;B"	0.0425491
"John Henry"	0.0424773
dispersion	0.0422486
PECC	0.0421165
CRT	0.0419854
inter-Korean	0.0419701
"piece of music"	0.0419076
"Pope John Paul"	0.0416315
Connell	0.0416097
oilseed	0.0415858
methanol	0.0413474
lubricant	0.0412458
sportswear	0.0411572
Decani	0.0411279
"cashew nut"	0.0410975
"Treasury note"	0.0409333
"three pitchers"	0.040879
yeshiva	0.0407935
shuttler	0.0407208
Gypsum	0.0407199
Isthmus	0.040709
"gasoline pump"	0.0406672
China-U.S.	0.0406413
rebounders	0.0405068
pastrami	0.0404244
"cane sugar"	0.0403196
knitwear	0.0402427
"wedding party"	0.0402124
"compact disk"	0.0401266
"color television"	0.040105
))
(bordello (desc 1974.81) (sims
brothel	0.0968286
"dance hall"	0.0750829
"beauty parlor"	0.0708121
parlor	0.0646036
pantomime	0.0636364
cabinetmaker	0.062941
"parlor game"	0.0628634
"boarding house"	0.061712
saloon	0.0602442
eateries	0.0593619
harem	0.0581253
"Pudong International Airport"	0.0574328
"landscape painting"	0.0559991
courtesan	0.0558863
"resort hotel"	0.0552093
"game of chance"	0.0539724
"control board"	0.0531125
"tourist hotel"	0.0521068
nightspots	0.0516694
nightspot	0.0515059
Bathhouse	0.0512367
"Grand Hotel"	0.0507266
pictorial	0.0500037
Triptych	0.0499108
"driving school"	0.0496681
"beauty salon"	0.0496203
hairdresser	0.0490709
"art collection"	0.0488235
townhouse	0.0486582
"music school"	0.0485581
"adventure story"	0.04819
disco	0.0481383
"disk jockey"	0.0476117
"art gallery"	0.0475654
"extension cord"	0.0474335
"supper club"	0.0473461
hideaway	0.0471835
"wine cellar"	0.047001
Sari	0.0467184
"card game"	0.046588
Palazzo	0.0465064
"Lilith Fair"	0.0464853
creche	0.046308
"slot machine"	0.04623
nightlife	0.0461511
"town house"	0.0458566
"wedding gown"	0.0457667
"opera company"	0.0453654
Ritz-Carlton	0.0445644
newsgroup	0.0444713
"place of worship"	0.0443714
"man of letters"	0.043873
riverboats	0.0438362
tavern	0.043645
Pasha	0.0433676
"business establishment"	0.0433222
sorority	0.043199
"employment agency"	0.0430578
"station house"	0.0430559
mantelpiece	0.0427211
high-rise	0.0426827
"Salvador Dali"	0.0426718
manor	0.0426295
"art school"	0.0423358
sketchbook	0.0422988
"watering hole"	0.041899
Leningrad	0.0417509
settee	0.0416652
"foster home"	0.0415915
"mind's eye"	0.0415832
cellblock	0.0414324
"dance band"	0.0411745
"landscape architect"	0.0411673
"recording studio"	0.040933
dungeon	0.0407654
coffeehouse	0.0403518
"mental hospital"	0.0401977
Convent	0.0401087
"cross dressing"	0.0400508
))
(Borden (desc 978.588) (sims
Cunanan	0.0990001
Hurley	0.0976081
Chappell	0.0949819
Rivlin	0.093645
Neulander	0.0907577
Fassett	0.0860142
Harris-Lewis	0.0825965
Idris	0.0811046
Qureshi	0.0805362
Janis	0.0772613
Edson	0.076331
Edmondson	0.0739777
Eappens	0.0722751
Protas	0.0722671
Icahn	0.0718714
Kurth	0.0710462
Stroh	0.0673162
Hiett	0.0672199
rube	0.06702
Coia	0.066816
Manbar	0.0666635
Thurber	0.0659705
Mondavi	0.0656216
Callaghan	0.0639866
"Marianne Gingrich"	0.0639704
Hamlin	0.0638022
Biskind	0.0637333
McMullen	0.0630983
Harr	0.0628789
Machado	0.062413
Vonnegut	0.0622779
Binion	0.0620687
Kurtz	0.0613599
Trujillo	0.0613539
Sheppard	0.0605282
Warshaw	0.06031
Shandling	0.0599937
Hess	0.0598543
Elhage	0.0598372
Myhrvold	0.0595871
Cadbury	0.0595486
Demjanjuk	0.0586594
Fagan	0.0584636
Cobain	0.0584034
Jarrell	0.058228
"Advanced Micro"	0.0578193
Gutman	0.0576039
Cleary	0.0575125
Lipstadt	0.0574692
McGinn	0.0574304
Aegon	0.057383
Hallam	0.0572516
GAAF	0.0571449
Klestil	0.0569545
Hage	0.056726
Virenque	0.0567115
Lindland	0.0566781
bock	0.0563811
"Chronicle Publishing"	0.0563031
Dyer	0.056256
Zuckerman	0.0562407
Forsythe	0.0561045
Kauffman	0.0561039
singleton	0.0561024
"Donna Shalala"	0.0558975
Mullen	0.0558672
Blackthorne	0.0557486
Ruehe	0.0556892
Yoo	0.0556846
Ozersky	0.0554279
Marineau	0.0552551
LeFave	0.0552033
Jewell	0.055202
Yastrzhembsky	0.0551203
Iglesias	0.0549817
Krasniqi	0.0548475
Eisenman	0.0545455
Jorgensen	0.054532
Ramseys	0.0543508
Bolger	0.0543324
Castaneda	0.0542929
SEABROOK	0.0542666
Lileikis	0.0541652
Wasserstein	0.0541143
Hoke	0.054035
Mapes	0.0539243
Orban	0.0538636
Cooke	0.0538631
"Procter &AMP; Gamble Co."	0.0537969
Nikitin	0.0537482
Kenna	0.0535052
Nkabinde	0.0534853
Longo	0.0533357
Burroughs	0.0532505
Shulman	0.0527045
Birnbaum	0.0524652
Ritter	0.0524358
Bedell	0.0523278
Ingraham	0.0522784
Whitacre	0.05212
McMellon	0.0520996
Contreras	0.0520785
Haouari	0.0520587
Cianci	0.0519938
Khalil	0.0518863
Hammett	0.0518518
Bakaly	0.0517859
"administration official"	0.0517238
"Hearst Corp."	0.0516407
"Cadbury Schweppes"	0.051616
Bustamante	0.0515191
Shayler	0.0514447
"M&AMP;M"	0.0513741
RJR	0.051028
Transmeta	0.050971
"Edith Wharton"	0.0508438
"Al Fayed"	0.0508153
Slepian	0.0507532
Neff	0.0507266
Noonan	0.0506223
"El Hage"	0.0506187
Shatner	0.0505699
ani	0.0505298
Salomon	0.0502156
Presley	0.0502063
Manheim	0.0499472
Dickie	0.0499472
Galindo	0.0499041
Feuer	0.0499033
Coe	0.0498528
Heyward	0.0498174
McVeigh	0.0497775
Streisand	0.0497265
Fink	0.0496113
Joklik	0.0494483
Camille	0.0492724
Jayakumar	0.0492116
Demaci	0.0492101
Verniero	0.0490505
Kasoulides	0.0488369
Gachet	0.0487917
"Sara Lee"	0.0486907
Romanowski	0.04865
Dreyfus	0.0486185
McWilliams	0.0485846
Katzenberg	0.0484976
Montiel	0.0484919
Faulder	0.0483805
Gottlieb	0.0482836
Coffey	0.0480027
Goff	0.0479441
McHugh	0.0479139
Kaufman	0.0478848
Kelleher	0.0478725
Garvey	0.0478182
Brownlee	0.0477288
Trulock	0.0477036
Neiman	0.0476968
Martorano	0.0475797
Markhasev	0.0474668
GERE	0.047445
Chris-Craft	0.0474414
"Aetna Inc."	0.0473599
Baird	0.0473137
Limon	0.0473133
Howell	0.0472665
Yoakam	0.0472131
Schott	0.0471866
DeFrantz	0.0469901
COSCO	0.0469654
Crayola	0.0469466
Insulza	0.0469324
Skakel	0.0469323
Berle	0.0469104
Nabokov	0.0468973
Plath	0.0468963
Radojevic	0.046855
Lowry	0.0468184
Hersh	0.046569
HELLER	0.0465675
Bessie	0.0464343
Spector	0.0463413
McCaw	0.0462674
Jenoff	0.0462327
Rosenbaum	0.0461637
Wentworth	0.0460154
Kromah	0.0460109
Eubanks	0.0459867
Tevanian	0.0459522
Mitnick	0.0459043
Mattysse	0.0457635
Abernathy	0.0457235
Copeland	0.0457086
Lombardi	0.0457013
Cayugas	0.0456021
Marulanda	0.0455483
Blumenthal	0.0455415
Lind	0.0454923
Kodikian	0.0454748
Gerstner	0.0454675
))
(border (desc 235203) (sims
frontier	0.160296
boundary	0.156214
territory	0.130911
coast	0.125239
area	0.116635
checkpoint	0.113721
crossing	0.109472
town	0.107493
airport	0.1074
capital	0.107273
road	0.105496
highway	0.105045
village	0.104103
zone	0.103565
coastline	0.101242
island	0.100391
region	0.0986117
river	0.0975939
relation	0.0957109
port	0.0946847
city	0.094526
Kosovo	0.0939878
shore	0.0915403
"state line"	0.0905152
mountain	0.0881486
land	0.0881307
route	0.0854849
refugee	0.0849872
province	0.08453
line	0.0840616
bridge	0.082777
cooperation	0.0820545
embassy	0.0803782
Albania	0.0789215
north	0.0786424
street	0.0786245
airspace	0.0774655
JERUSALEM	0.0772442
troop	0.077162
site	0.0766512
base	0.0752974
peninsula	0.0752712
railway	0.0750042
settlement	0.0749559
beach	0.0739542
country	0.0739172
trade	0.0729513
Macedonia	0.0725862
security	0.0720442
sovereignty	0.0715423
"main road"	0.071303
"West Bank"	0.0712499
Chechnya	0.0712234
gate	0.0710235
camp	0.0707823
outskirt	0.0702093
government	0.0698431
Pristina	0.0695043
sea	0.0694974
tie	0.0694461
home	0.0693155
"Golan Heights"	0.068461
Lebanon	0.0684367
conflict	0.068373
"territorial water"	0.0683374
edge	0.0677626
Republic	0.067608
"front line"	0.0672828
army	0.0672385
south	0.0668224
center	0.0668218
state	0.0667029
prison	0.0666516
Kashmir	0.0665735
police	0.0662477
side	0.0661016
peace	0.0653451
soil	0.0652385
agreement	0.0651134
entrance	0.0649936
war	0.0649767
district	0.0649081
Gulf	0.0648763
campus	0.0647635
countryside	0.0645172
"armed forces"	0.0645057
lake	0.063905
Afghanistan	0.0638021
Kabul	0.0635101
parliament	0.0634483
bank	0.0630228
"foreign minister"	0.0629229
front	0.0622935
building	0.0622152
Grozny	0.061994
pipeline	0.0618715
Bosnia	0.0617156
authority	0.0616878
independence	0.0613619
economy	0.0612604
station	0.0612443
Freetown	0.0612351
water	0.0608729
"railway line"	0.0608568
demarcation	0.0608364
Yugoslavia	0.0608162
Kinshasa	0.0604564
force	0.060386
desert	0.0602702
valley	0.0602546
market	0.060095
house	0.0600723
enclave	0.0599848
shoreline	0.0599048
dispute	0.0598553
ground	0.0597334
Treaty	0.0596924
Iraq	0.0596177
park	0.0592266
"air base"	0.0590919
"security force"	0.0589571
fence	0.0588162
wall	0.0587391
Ambassador	0.0585978
waterway	0.0584991
forest	0.0583597
corridor	0.0582671
Canal	0.0581698
east	0.0581296
issue	0.0579781
friendship	0.0579338
post	0.0573845
people	0.0573362
status	0.0572854
rebel	0.0572312
field	0.0571487
expressway	0.0571277
Cyprus	0.0569724
plain	0.0569181
downtown	0.056865
Israel	0.0567401
facility	0.0567044
situation	0.0565536
west	0.0564935
track	0.0564074
resort	0.0562827
Hebron	0.0562094
hill	0.0561236
harbor	0.0557804
mainland	0.0555568
BELGRADE	0.0554932
headquarter	0.0554495
military	0.055433
part	0.0553088
point	0.0550956
"Interstate @@"	0.0549965
patrol	0.0549799
soldier	0.054921
farm	0.0548491
intersection	0.0548214
continent	0.0546175
policy	0.0546162
hotel	0.0545885
Capitol	0.0545253
crisis	0.0543963
scene	0.0543191
control	0.0541196
battlefield	0.0539531
population	0.0539325
school	0.0537747
Kisangani	0.0536806
Congo	0.0536208
Gaza	0.0535365
constitution	0.0535237
outpost	0.053511
DRC	0.0534605
Zaire	0.0533962
highland	0.0533659
"Gaza Strip"	0.0533343
plant	0.0531137
operation	0.0530127
hospital	0.0529223
Mission	0.0528157
"Persian Gulf"	0.0528127
peacekeeper	0.0527822
accord	0.0526331
mine	0.0526193
seaport	0.05258
development	0.0525398
jungle	0.0524998
law	0.0523808
ranch	0.0523704
Beirut	0.0522464
plateau	0.0522244
sector	0.0521802
consulate	0.0521749
location	0.0521163
Mediterranean	0.0521134
Europe	0.0519583
process	0.0519533
))
("Border collie" (desc 1080.04) (sims
beagle	0.074926
nonentity	0.0737808
afterburner	0.0735451
"milk cow"	0.0714314
Labrador	0.0700399
hyphen	0.0681045
"German shepherd"	0.0675715
"disk jockey"	0.0669404
pug	0.0655051
Rottweiler	0.0650679
dachshund	0.0642446
mutt	0.0592658
warhorse	0.0588732
cellphone	0.0576267
Otto	0.0576259
"two pitchers"	0.0575933
pick-and-roll	0.0571771
"police dog"	0.056209
"Hopman Cup"	0.0552332
jackhammer	0.0550277
"Elia Kazan"	0.0539572
"electrical device"	0.0538823
"flower child"	0.0535673
Irishman	0.0534775
Mimi	0.0532682
backhoe	0.0528505
"bird of prey"	0.0522541
REPELLENT	0.0520798
"network administrator"	0.0511784
poodle	0.0506984
"sea gull"	0.0501528
mem	0.0498426
grating	0.0494683
nitroglycerin	0.0494235
songbird	0.0489277
pooch	0.0484122
vibrator	0.0482901
"snow leopard"	0.0482801
clunker	0.0481938
manicurist	0.0477955
"Jim Calhoun"	0.0477094
"oil paint"	0.0476648
Margarita	0.0476049
ex-convict	0.0475289
"bed sheet"	0.0472602
"temporary worker"	0.0472592
Lowry	0.0470321
widget	0.0468478
"eye doctor"	0.0467205
Yugoslavian	0.0466429
"laser beam"	0.0465798
"fictional character"	0.0465735
bullhorn	0.0464847
spotter	0.0464246
excavator	0.0461996
RVs	0.0458875
southpaw	0.0458549
"Little Dog"	0.0458467
redhead	0.0457352
Calhoun	0.0457137
Lou	0.0455734
transvestite	0.0455296
Taufik	0.0455278
hit-and-run	0.0454323
"bulletproof vest"	0.0453827
Greyhound	0.0453191
Yitzhak	0.0452471
Englishwoman	0.0451824
Bostonian	0.045152
bungee	0.0450959
sadist	0.0449731
keystroke	0.0446583
Alarcon	0.044605
lout	0.0444734
hubcap	0.0443888
"coat of paint"	0.0443534
macaw	0.0439084
acrobat	0.0436184
"meteor shower"	0.0434123
placekicker	0.0432946
roaster	0.0432393
"deposit box"	0.0430624
hitchhiker	0.0429571
defibrillator	0.0429169
transponder	0.0429007
ECNs	0.0427901
chokehold	0.0426939
"house painter"	0.0426247
"hockey stick"	0.0425671
"point system"	0.042481
Ribbeck	0.0424425
Lothario	0.0423685
Momma	0.0423561
Botox	0.0421914
starling	0.0421414
"portable computer"	0.0420016
sixth-grader	0.0419025
Godfrey	0.041896
gringo	0.0418593
"laser printer"	0.0417876
patrolman	0.0416938
"white person"	0.0415161
"salad dressing"	0.0415072
"three pitchers"	0.0414998
earplugs	0.0413957
masseuse	0.0413333
terrier	0.0413288
floodlight	0.0411537
optometrist	0.0411482
Marty	0.0410632
B-@s	0.0410442
urinal	0.0410131
midwife	0.0408618
"light touch"	0.04078
"speeding ticket"	0.0407423
impersonator	0.0407326
poop	0.040725
"ballpoint pen"	0.0406581
blinker	0.0405811
lifer	0.0405639
"studio apartment"	0.0405359
marksman	0.0404853
aperitif	0.0404775
panko	0.0404371
houseboat	0.0403824
Lipinski	0.0403659
"Fox Sports News"	0.0403485
bruiser	0.0402656
))
("border patrol" (desc 10160.3) (sims
"U.S. Border Patrol"	0.201439
"Drug Enforcement Administration"	0.190313
"customs service"	0.178462
"Immigration and Naturalization Service"	0.158426
"Coast guard"	0.149003
DEA	0.148373
"secret service"	0.141259
"U.S. Coast Guard"	0.140894
"Federal Bureau of Investigation"	0.137499
"U.S. Customs Service"	0.128185
INS	0.125467
"Texas Department of Public Safety"	0.12169
patrol	0.12145
FBI	0.117678
Interpol	0.112143
police	0.107054
"Scotland Yard"	0.104283
"Internal Revenue Service"	0.104269
"security force"	0.102816
CIA	0.102086
"National Guard"	0.100728
"military police"	0.0998054
"Bureau of Alcohol"	0.0997982
"Forest Service"	0.0974745
"National Transportation Safety Board"	0.0972297
IRS	0.0963932
"U.S. Immigration and Naturalization Service"	0.0961839
ATF	0.0957556
"Justice Ministry"	0.0955455
"Department of Transportation"	0.0950966
"civil defense"	0.0942857
navy	0.090563
GSS	0.0903532
"Department of Public Safety"	0.090173
"Federal Aviation Administration"	0.0897352
"Department of Justice"	0.0893215
marshal	0.0892739
"fire department"	0.0885587
"law enforcement"	0.0877417
"police department"	0.087696
commando	0.0870375
"Russian Interior Ministry"	0.086944
"Justice Department"	0.0863969
"police force"	0.0858782
"patrol boat"	0.0857479
"New York Police Department"	0.0847187
"Defense Department"	0.0845225
FAA	0.0843187
gendarmerie	0.083535
"Air Force"	0.0833802
"U.S. Forest Service"	0.0822595
"intelligence agent"	0.0818646
"National Park Service"	0.0817305
MI@	0.0810958
"Park Service"	0.0807354
"Federal Security Service"	0.0806292
"National Police"	0.0805263
"fire brigade"	0.0803675
"Los Angeles Police Department"	0.0788968
KGB	0.0780092
"federal agent"	0.0775318
plainclothes	0.0773606
"Health Department"	0.077225
"Department of Corrections"	0.0767221
LAPD	0.0764385
"secret police"	0.0763705
"Royal Ulster Constabulary"	0.0763111
Gestapo	0.0759385
coastguard	0.0756975
CHP	0.0749647
custom	0.0749236
"Interior Ministry"	0.0749167
"Department of Labor"	0.0743125
IDF	0.0742507
DP	0.0741932
"Royal Canadian Mounted Police"	0.0739731
"Red Cross"	0.0737345
Judiciary	0.0732423
"Census Bureau"	0.073149
bureau	0.0729994
counterintelligence	0.0729336
"Central Intelligence Agency"	0.0728329
BSF	0.0727743
"Education Department"	0.0723776
NYPD	0.071924
"Russian Space Agency"	0.0716302
"Department of Energy"	0.0714686
"National Oceanic and Atmospheric Administration"	0.0712802
Gendarme	0.0712513
"South African National Defense Force"	0.0712157
UNAMET	0.0707325
Mossad	0.0705628
CDC	0.0695606
"task force"	0.0693261
"Transportation Department"	0.0687906
RCMP	0.0686933
OSHA	0.0686805
NTSB	0.0685828
"Energy Department"	0.0682834
SANDF	0.0680792
"General Security Service"	0.066865
FSA	0.0668421
BIA	0.0667216
"Department of Health and Human Services"	0.0666339
SFOR	0.0656765
"Port Authority"	0.0655831
"Department of Education"	0.0655138
EPA	0.0655059
PNP	0.0654765
"Foreign Ministry"	0.0654372
"State Department"	0.0654243
DEP	0.0653284
"Treasury Department"	0.0652453
"Intelligence Ministry"	0.0652263
"Department of Agriculture"	0.0651772
"federal government"	0.0650119
FSB	0.0648847
"FBI agent"	0.0648586
peacekeeper	0.0647563
ECOMOG	0.0644351
"Agriculture Department"	0.0640495
"Federal Emergency Management Agency"	0.063824
detective	0.0635768
"Department of Health"	0.063174
"armed forces"	0.0629943
"Food and Drug Administration"	0.0628133
"intelligence officer"	0.0626611
patrolling	0.062303
"American Red Cross"	0.0622399
"Public Security Ministry"	0.0622201
"State Police"	0.0621007
enforcement	0.0620183
UNICEF	0.061805
policemen	0.0617161
"special agent"	0.0615774
"Home Ministry"	0.0615586
"military unit"	0.0612822
USDA	0.0607377
IEC	0.0607105
inspector	0.0607072
"inspector general"	0.060665
FEMA	0.0606351
IFOR	0.0606085
UNHCR	0.0605799
ECA	0.0605446
FDA	0.0605034
FTC	0.0604165
"prison guard"	0.0603574
"general staff"	0.0602828
"Environmental Protection Agency"	0.0601888
CAA	0.0600171
"Royal Navy"	0.059794
"Department of Defense"	0.059736
"Marine Corps"	0.0597009
"Army Corps"	0.0595517
"U.S. Fish and Wildlife Service"	0.0593075
"postal service"	0.0592433
ministry	0.0590909
militia	0.059026
HUD	0.0588764
"military force"	0.0586773
NSA	0.0585875
"Defense Ministry"	0.0585838
"Commerce Department"	0.058433
ICRC	0.0582097
ABRI	0.0581821
airforce	0.0579911
investigator	0.0577892
PLA	0.0572257
"military post"	0.0572192
Pentagon	0.0569806
trooper	0.0569124
"military position"	0.0568511
TNI	0.0567286
va	0.0565476
"federal official"	0.0565452
"traffic control"	0.056446
"British Army"	0.0563715
"Philippine National Police"	0.0563556
"Truth Commission"	0.0562745
DMV	0.0562355
"Federal Deposit Insurance Corp."	0.0562178
"New Jersey State Police"	0.0562065
"Board of Elections"	0.0559764
"National Marine Fisheries Service"	0.0559403
KFOR	0.0559093
SLA	0.0557224
"district attorney"	0.0556217
KONI	0.0554882
"Securities and Exchange Commission"	0.0554812
NIH	0.0554605
"Department of State"	0.05546
"National Weather Service"	0.0553814
TDC	0.0553778
"World Food Program"	0.0553574
"Bureau of Land Management"	0.0553495
"air defense"	0.055346
"William Morris"	0.0552705
KLA	0.0550784
INEC	0.0550353
))
(borderline (desc 3939.24) (sims
"boundary line"	0.0931394
"dividing line"	0.0809223
"demarcation line"	0.0691055
boundary	0.0683959
"sea lane"	0.0634479
"rule of evidence"	0.0542693
"Demilitarized Zone"	0.0526456
"trunk line"	0.0525315
LoC	0.0521314
"battle line"	0.0515383
"Beibu Gulf"	0.0498457
"business relation"	0.049319
"red line"	0.0466474
"continental shelf"	0.04615
ABM	0.0437385
"rate of exchange"	0.0433326
"railway line"	0.0405575
"transmission line"	0.0400485
))
("Borders Books" (desc 1288.05) (sims
"Ritz-Carlton Hotel"	0.0850418
"Tower Records"	0.0799241
McGraw-Hill	0.0630928
Nordstrom	0.0592305
"toy store"	0.056193
"Barnes &AMP; Noble"	0.0560762
Levesque	0.0539048
"Hyatt Regency"	0.0511732
"Esther Dyson"	0.0493651
"Kraft Foods"	0.0490774
Mervyn	0.047454
"Bergdorf Goodman"	0.0472228
"Toys R Us"	0.0471354
"Neiman Marcus"	0.0460988
"Texas Christian University"	0.0458838
mariachi	0.0437517
"Liberty Bell"	0.043653
eateries	0.043361
ABCNews.com	0.0414004
"written word"	0.0410559
Nativity	0.0410322
"General Services Administration"	0.0409794
follies	0.0408626
"Space Needle"	0.0404168
Zydeco	0.0403873
"Beach Boys"	0.0402095
))
(Bordick (desc 2022.93) (sims
Vidro	0.285121
Cirillo	0.255852
Surhoff	0.239254
"Matt Lawton"	0.23623
Rolen	0.216248
Burnitz	0.209095
Velarde	0.208133
Ordonez	0.207914
Fullmer	0.206894
Alfonzo	0.206253
Renteria	0.204464
Bichette	0.20284
"Mark Kotsay"	0.2026
"Carlos Lee"	0.202231
"Preston Wilson"	0.202153
Olerud	0.201366
"Paul Bako"	0.200459
Abreu	0.19907
"Eric Owens"	0.198071
"Marvin Benard"	0.197291
Alicea	0.196654
"Warren Morris"	0.192881
Tatis	0.191545
"Mark Loretta"	0.191523
Glaus	0.191249
"Bruce Aven"	0.190598
"Deivi Cruz"	0.188581
Lieberthal	0.187235
Sexson	0.186662
"Luis Gonzalez"	0.185864
DeShields	0.185504
Konerko	0.185183
"Rondell White"	0.184851
Higginson	0.184847
"Jeff Conine"	0.184094
"Dave Martinez"	0.182811
"Henry Rodriguez"	0.18265
"Vladimir Guerrero"	0.182595
"Jeff Cirillo"	0.181425
"Jose Vidro"	0.180719
Helton	0.180576
Fryman	0.180305
Segui	0.179215
"Damian Miller"	0.178976
Giambi	0.17748
"Will Clark"	0.177062
"Scott Spiezio"	0.176958
"Rich Aurilia"	0.176756
"Bill Mueller"	0.175595
"Dmitri Young"	0.17536
"Eric Karros"	0.174938
"Eddie Taubensee"	0.174352
"Cristian Guzman"	0.173982
Agbayani	0.173336
Lankford	0.173205
"David Bell"	0.172855
"Ray Durham"	0.172606
Hatteberg	0.17205
"Matt Franco"	0.171905
"Mike Bordick"	0.171724
Aurilia	0.170137
Karros	0.169861
"Kelly Stinnett"	0.169141
Womack	0.168151
Dunston	0.168009
Erstad	0.167451
"Ron Coomer"	0.167405
Bautista	0.167319
Zeile	0.167314
Batista	0.16658
Bagwell	0.166496
"Geoff Jenkins"	0.166457
"Benny Agbayani"	0.16621
"Danny Bautista"	0.16507
"Tim Bogar"	0.164908
"Bobby Abreu"	0.164223
"Scott Rolen"	0.164135
"Kevin Young"	0.163484
Sojo	0.162567
"Paul Konerko"	0.162426
Brosius	0.162243
"Russ Johnson"	0.161403
Delgado	0.161074
"Todd Helton"	0.160437
Randa	0.160403
Canseco	0.160303
"Derrek Lee"	0.160187
"Joe Randa"	0.160071
"Darryl Hamilton"	0.160004
"Robin Ventura"	0.159764
"Luis Alicea"	0.15932
Kapler	0.159268
"Bobby Higginson"	0.158925
"Bengie Molina"	0.158677
"Trot Nixon"	0.15865
Valentin	0.158185
Palmeiro	0.157608
"Todd Pratt"	0.157546
Spiers	0.156289
Grudzielanek	0.156157
"Damian Jackson"	0.15584
"Bubba Trammell"	0.155831
"Scott Brosius"	0.15571
"Dean Palmer"	0.155467
Beltran	0.154855
Guillen	0.154713
McLemore	0.154689
"Mike Lieberthal"	0.154485
Ledee	0.154455
McGriff	0.154197
grieve	0.153922
"John Olerud"	0.153501
"Desi Relaford"	0.153378
Vizquel	0.153133
Elster	0.153129
Varitek	0.153011
"Marquis Grissom"	0.152712
Huskey	0.152681
Nevin	0.152241
"John Vander Wal"	0.152048
Taubensee	0.151673
"Carlos Beltran"	0.151544
"Mickey Morandini"	0.151537
"Jose Guillen"	0.151536
"Ozzie Guillen"	0.15127
Baerga	0.150442
"Brian Hunter"	0.150302
"Brant Brown"	0.1503
"Dante Bichette"	0.150026
"Richard Hidalgo"	0.149964
"Rico Brogna"	0.149804
"Andruw Jones"	0.149704
"Todd Zeile"	0.149615
Frye	0.14942
Easley	0.149314
Beltre	0.149287
"Keith Lockhart"	0.148979
"J.T Snow"	0.148642
"Wally Joyner"	0.148447
"Dave Hansen"	0.148403
"Neifi Perez"	0.148252
"Tom Goodwin"	0.147785
Knoblauch	0.147774
"Quinton McCracken"	0.147668
"Harold Baines"	0.147325
"Brian McRae"	0.146605
"Jay Bell"	0.146369
Bergeron	0.146341
"Orlando Palmeiro"	0.146151
"Gary Sheffield"	0.145988
"Alex Gonzalez"	0.145835
"Troy Glaus"	0.145299
"Richie Sexson"	0.145138
Caminiti	0.144753
"Mark Grace"	0.144267
"David Ortiz"	0.14404
"Joe McEwing"	0.144
Veras	0.143897
"Miguel Tejada"	0.143595
Ramirez	0.143483
Daubach	0.143232
"Fernando Vina"	0.142449
"Tim Salmon"	0.14234
"Chipper Jones"	0.142102
"Andy Fox"	0.142094
Klesko	0.141923
"Phil Nevin"	0.141867
"Jim Thome"	0.141543
Catalanotto	0.141512
"Juan Encarnacion"	0.141282
Hidalgo	0.141258
"Mike Sweeney"	0.141192
Biggio	0.141176
"Reggie Sanders"	0.141109
Lofton	0.141084
"Travis Lee"	0.140484
"Darren Lewis"	0.140301
"Tony Womack"	0.140058
"Darin Erstad"	0.139958
Glanville	0.139831
Alomar	0.139231
"Edgardo Alfonzo"	0.139231
"Jermaine Dye"	0.138682
Larkin	0.138655
Hollandsworth	0.138602
"Kevin Jordan"	0.13838
"Cliff Floyd"	0.138268
Lawton	0.13772
Cabrera	0.137625
Cedeno	0.137311
Hollins	0.137305
"Garret Anderson"	0.136875
Galarraga	0.136514
"Matt Stairs"	0.136324
"Butch Huskey"	0.136275
Buhner	0.135654
"Tony Eusebio"	0.134981
"Enrique Wilson"	0.134828
"Ruben Rivera"	0.134403
Burks	0.134082
"Delino DeShields"	0.133953
"Bernard Gilkey"	0.133844
"Melvin Mora"	0.133796
"Brian Giles"	0.133748
"Bill Spiers"	0.133472
Lampkin	0.133397
"Tony Batista"	0.133253
Boone	0.132539
DiSarcina	0.132534
"Randy Velarde"	0.132477
"Pat Meares"	0.132313
"Brian Jordan"	0.131542
Gilkey	0.131422
"Joe Girardi"	0.131111
"Mike Lowell"	0.13102
"Ray Lankford"	0.131016
"Ken Caminiti"	0.130896
"Mike Cameron"	0.130582
"John Valentin"	0.130173
"Eric Chavez"	0.130038
Thome	0.130031
"Ron Gant"	0.129633
Stinnett	0.129331
"Jeff Bagwell"	0.129151
"Mike Lamb"	0.129024
Tejada	0.128265
"Tino Martinez"	0.128162
"Roberto Alomar"	0.128161
Brogna	0.127918
"Tony Clark"	0.127889
"Fred McGriff"	0.12783
"Jay Payton"	0.127586
Castilla	0.127552
Piazza	0.127003
"Adrian Beltre"	0.126987
"Shawn Green"	0.126833
Grissom	0.126723
Mora	0.126432
"Todd Walker"	0.126407
"Ricky Gutierrez"	0.12635
"Doug Glanville"	0.126179
Javier	0.125568
Alou	0.125547
Gwynn	0.125448
"Matt Walbeck"	0.125345
"Tony Graffanino"	0.125323
"Javy Lopez"	0.125302
Jeter	0.125147
Mabry	0.125123
"Raul Ibanez"	0.12496
"Matt Williams"	0.124956
"Jose Valentin"	0.12493
"Barry Larkin"	0.124719
"Corey Koskie"	0.124251
"Jeff Kent"	0.124029
"Craig Biggio"	0.12401
"John Mabry"	0.124004
"Carlos Baerga"	0.123801
"Luis Lopez"	0.123387
"Gerald Williams"	0.123337
"Jose Hernandez"	0.123267
Dellucci	0.122937
"Jason Varitek"	0.122935
"Charlie Hayes"	0.122816
"David Segui"	0.122791
"Ben Grieve"	0.122765
Offerman	0.1225
"Mark Grudzielanek"	0.122434
Gant	0.122335
"Lee Stevens"	0.122218
Hundley	0.121993
"Chris Widger"	0.121884
"Travis Fryman"	0.121636
"Stan Javier"	0.121607
Sprague	0.121487
"Brady Anderson"	0.121292
"Sean Casey"	0.121218
"Lance Berkman"	0.121015
"Tony Gwynn"	0.120948
"Pokey Reese"	0.120931
"Pat Burrell"	0.120904
"Alex Rodriguez"	0.120597
"Albert Belle"	0.120595
Cordero	0.120446
"Glenallen Hill"	0.120426
"Benji Gil"	0.120352
"Russ Davis"	0.120177
belle	0.120009
Garciaparra	0.119856
Leyritz	0.119739
"Sandy Alomar"	0.119634
"Kevin Stocker"	0.119551
"Ed Sprague"	0.119365
"Ryan Klesko"	0.118968
"Ivan Rodriguez"	0.118826
Mondesi	0.118735
Cora	0.118681
"Kenny Lofton"	0.11856
"Jeffrey Hammonds"	0.118436
"Roger Cedeno"	0.118323
"Adam Kennedy"	0.118266
"Lenny Harris"	0.118062
"Chad Curtis"	0.118058
"Rickey Henderson"	0.118013
"Todd Hundley"	0.117716
"Dave Hollins"	0.117448
Molina	0.117189
"Jose Offerman"	0.117104
Vaughn	0.116856
"Chuck Knoblauch"	0.116538
"Craig Counsell"	0.116299
"Terrence Long"	0.116299
"Edgar Martinez"	0.116115
"Jason Giambi"	0.115691
"Johnny Damon"	0.115688
Saenz	0.115362
"Herbert Perry"	0.115078
"Raul Mondesi"	0.114781
"Chris Gomez"	0.114739
"Omar Vizquel"	0.114607
Furcal	0.114489
"B.J Surhoff"	0.114484
"Luis Sojo"	0.114219
"Bret Boone"	0.114148
"Rusty Greer"	0.1141
"Damon Buford"	0.11358
"Jeromy Burnitz"	0.113285
Griffey	0.113265
"Royce Clayton"	0.112879
"Charles Johnson"	0.112772
"Derek Bell"	0.11206
"Frank Thomas"	0.111947
"Derek Jeter"	0.111607
"Einar Diaz"	0.111539
Greer	0.111483
"Rafael Palmeiro"	0.110732
"Rey Sanchez"	0.110712
Ripken	0.110587
Buford	0.110544
"Mike Piazza"	0.110444
Martinez	0.110442
"Bernie Williams"	0.110356
"Nomar Garciaparra"	0.110258
"Brian Daubach"	0.109953
"Aaron Boone"	0.109928
"Dan Wilson"	0.109753
"Jim Edmonds"	0.109655
"Shannon Stewart"	0.109564
"F.P Santangelo"	0.109442
"Luis Castillo"	0.109336
"Jay Buhner"	0.109277
"Eric Young"	0.109194
"Todd Hollandsworth"	0.109175
"Gary DiSarcina"	0.10904
"Carl Everett"	0.108947
"Jorge Posada"	0.10894
McRae	0.108879
"Erubiel Durazo"	0.108624
"Greg Vaughn"	0.108556
Merloni	0.10855
Guerrero	0.108413
Clayton	0.108164
"Miguel Cairo"	0.108152
Baines	0.107918
"Ellis Burks"	0.107883
"Devon White"	0.107514
"Moises Alou"	0.107498
McCarty	0.107304
"Gabe Kapler"	0.107234
Ausmus	0.107132
"Steve Finley"	0.107116
Bragg	0.107039
"Troy O'Leary"	0.107035
"Edgar Renteria"	0.10693
"Barry Bonds"	0.106825
"Kurt Abbott"	0.1066
"Chad Kreuter"	0.106591
"Brad Ausmus"	0.106088
Walbeck	0.105932
"Al Martin"	0.105822
"Luis Polonia"	0.105601
"Paul O'Neill"	0.105341
Rodriguez	0.105267
"Karim Garcia"	0.104965
Guzman	0.104963
"Wil Cordero"	0.10477
Flaherty	0.10475
"Chili Davis"	0.104115
Goodwin	0.104015
"Scott Hatteberg"	0.103878
Burrell	0.103414
"Magglio Ordonez"	0.103243
Posada	0.10311
Finley	0.102327
"Carlos Febles"	0.101616
"Rey Ordonez"	0.101405
"Andres Galarraga"	0.10119
"Mike Lansing"	0.101054
Artest	0.100596
"Reggie Jefferson"	0.100548
"Brook Fordyce"	0.100535
Bonilla	0.100508
Giles	0.100441
"Eric Davis"	0.100301
Gutierrez	0.100027
))
(bore (desc 5442.21) (sims
"pain in the neck"	0.0755104
nonevent	0.072807
dud	0.0694772
idiot	0.0684236
"guessing game"	0.0667657
crapshoot	0.0661685
jerk	0.0646758
wimp	0.0639997
"waiting game"	0.0639366
phony	0.0616306
moron	0.0613877
"numbers game"	0.0612983
fluke	0.0570847
misnomer	0.0567135
letdown	0.0552562
snob	0.0538807
"good person"	0.0534363
"waste of money"	0.0529974
Downer	0.0529303
"shell game"	0.0527945
"white elephant"	0.0520574
stinker	0.0517293
"hard worker"	0.0514457
freak	0.0512479
tossup	0.0500279
overstatement	0.0497537
no-brainer	0.0494453
hypocrite	0.0489135
motivator	0.0482866
"waste of time"	0.0476207
"guardian angel"	0.0475736
YAWN	0.0475037
loner	0.0474675
heretic	0.0470123
free-for-all	0.0461339
"hot potato"	0.0460971
"risk taker"	0.0452733
crock	0.0450816
Catch-@@	0.0450222
hermit	0.0442492
copout	0.0442258
"social event"	0.0442172
toss-up	0.0440658
darn	0.0436767
boob	0.0435553
"background noise"	0.043543
travesty	0.0431783
coming-out	0.0431031
chameleon	0.0429241
lunatic	0.0428895
crybaby	0.0428242
Truism	0.0427746
baloney	0.0419862
FOP	0.0416894
nonentity	0.0412676
maniac	0.0411719
"fall guy"	0.0411154
twit	0.0410056
craziness	0.0409028
errand	0.040697
anticlimax	0.0406219
seesaw	0.040577
loony	0.0405461
liar	0.0404756
hoot	0.040448
slob	0.0404184
egomaniac	0.0403572
Luddite	0.0403569
leech	0.0403223
cakewalk	0.0403168
"measuring stick"	0.0403062
"big leaguer"	0.0401849
claimer	0.0400847
bloke	0.0400354
))
(boredom (desc 12580.6) (sims
loneliness	0.150649
sadness	0.106749
desperation	0.106489
despair	0.104516
Exhaustion	0.102156
anxiety	0.101011
helplessness	0.100349
self-pity	0.0983602
hopelessness	0.0975798
frustration	0.0959346
disillusionment	0.0956071
alienation	0.0939915
misery	0.0920619
hunger	0.0917663
Depression	0.0906655
confusion	0.0906184
weariness	0.088801
panic	0.088167
pain	0.0876955
complacency	0.0857793
ignorance	0.0849408
anger	0.0848616
isolation	0.0839917
insecurity	0.0835546
fatigue	0.0835027
overconfidence	0.0832931
grief	0.0830865
hardship	0.0829342
cynicism	0.082254
deprivation	0.0803091
ennui	0.077465
Burnout	0.0771623
indifference	0.0764942
distrust	0.0755141
humiliation	0.0754487
anguish	0.0751413
nausea	0.0747681
discomfort	0.0744765
apathy	0.074188
despondency	0.0741608
dehydration	0.0740116
powerlessness	0.0739461
disgust	0.072342
self-satisfaction	0.0711621
exhilaration	0.0710954
paranoia	0.0708364
poverty	0.0697832
embarrassment	0.0689789
insomnia	0.0689333
drudgery	0.0688102
mistrust	0.0686134
Distress	0.0678284
bitterness	0.0674549
tedium	0.0670477
emptiness	0.0670347
bewilderment	0.0669205
deflation	0.0669147
nostalgia	0.0668657
chaos	0.0668074
shame	0.0662748
homesickness	0.0662586
disappointment	0.0655998
rage	0.0655795
inertia	0.0655412
uncertainty	0.0653802
destitution	0.064409
instability	0.0642217
numbness	0.0638157
guilt	0.0635176
malaise	0.0632879
stupidity	0.0630813
starvation	0.0630354
monotony	0.0630305
joy	0.0630213
gridlock	0.0630188
sorrow	0.0629317
horror	0.062549
disbelief	0.0625073
jealousy	0.062234
famine	0.0621352
melancholy	0.0617591
terror	0.061732
hipness	0.0614409
"back pain"	0.0613976
dizziness	0.0612385
dread	0.0611839
excitement	0.0611159
selfishness	0.0609818
Alcoholism	0.0605758
greed	0.060313
trauma	0.0601926
craziness	0.0600496
familiarity	0.0597521
prejudice	0.0597028
arrogance	0.0596086
awkwardness	0.0595248
paralysis	0.0593342
laziness	0.0589032
discouragement	0.0588736
heartache	0.0588176
remorse	0.0587888
nervousness	0.0585014
restlessness	0.0584942
longing	0.0584477
pandemonium	0.0581368
disconnection	0.0579719
agony	0.0578039
bigotry	0.057676
outrage	0.057561
impatience	0.0573552
neglect	0.0572512
irritability	0.0571239
solitude	0.0565757
ache	0.0565177
fatalism	0.0565133
unrest	0.056499
giddiness	0.0564821
heartbreak	0.0564393
futility	0.056257
sickness	0.0561984
desolation	0.0561732
shortage	0.0559819
congestion	0.0559368
diarrhea	0.0557126
unease	0.0555668
suffering	0.0555477
intimacy	0.0553603
calamity	0.0552309
racism	0.0551918
unhappiness	0.055132
exasperation	0.0550514
dissatisfaction	0.055047
pessimism	0.0550333
elation	0.054944
"sore throat"	0.054895
intolerance	0.0546748
"memory loss"	0.0546657
"bad luck"	0.0546214
vulnerability	0.0544663
discontent	0.0544569
gloom	0.0542573
oppression	0.0542529
madness	0.0542303
immaturity	0.0541656
dislocation	0.054132
fever	0.0541175
self-loathing	0.0540426
astonishment	0.0538729
negativity	0.0537972
pity	0.0536313
fragmentation	0.0536216
lethargy	0.0534232
"asthma attack"	0.0533092
regret	0.0532267
apprehension	0.0530419
soreness	0.0530166
hypocrisy	0.052989
self-absorption	0.052927
emotion	0.0528069
revulsion	0.0527206
resentment	0.0527045
illness	0.0525788
incompetence	0.0525322
dismay	0.0524559
shyness	0.0521692
injustice	0.0519062
intimidation	0.0518715
malnutrition	0.0518308
disenchantment	0.0517508
inconvenience	0.0516864
tragedy	0.0516661
happiness	0.0516535
headache	0.051629
"chest pain"	0.0516129
difficulty	0.051568
absurdity	0.0515286
"deja vu"	0.0513699
fascination	0.051357
stagnation	0.051061
awe	0.0510277
impotence	0.0509544
weakness	0.0508717
indignation	0.050862
dysfunction	0.0507785
lawlessness	0.0507122
disorientation	0.0506942
self-doubt	0.0506778
irritation	0.0506068
insanity	0.0505617
"drug addiction"	0.050338
disorder	0.0503112
cruelty	0.0502515
repression	0.0502168
yearning	0.0501014
fright	0.0500638
unpredictability	0.0500034
degradation	0.0499613
pleasure	0.0499532
tiredness	0.0497857
foreboding	0.04977
))
(boreholes (desc 1258.09) (sims
"oil well"	0.120194
"gas well"	0.11043
"torpedo boat"	0.0929664
"telephone booth"	0.077177
"pumping station"	0.0758277
"another @-pointer"	0.0747306
three-pointers	0.0743443
no-decisions	0.0687059
turbogenerator	0.0685987
cistern	0.066816
"three @-pointers"	0.065747
"luxury liner"	0.0644147
substation	0.0618121
bitumen	0.0608913
"extra points"	0.0601516
tugboat	0.0597132
"steam turbine"	0.0595932
"petrol station"	0.0578213
three-pointer	0.0574227
"Pro Bowls"	0.0560641
Yorktown	0.0555101
Trey	0.0554957
"trunk road"	0.0554261
"foul shot"	0.0542079
"sewer system"	0.0533934
vote-getters	0.0528154
pergola	0.0526573
"drainage system"	0.0526043
"five @-pointers"	0.051323
"weather station"	0.051259
"storage tank"	0.0512581
"Iraqi POWs"	0.0509888
VMs	0.050825
gazebo	0.0508187
"Resistance Army"	0.0502692
Kanungu	0.0484907
"gasoline station"	0.0484192
tannery	0.0483586
"pleasure boat"	0.0483568
Tigris	0.0473827
Nen	0.0472853
buzzer-beater	0.0470485
"heating system"	0.046909
"merchant ship"	0.0467973
"manual labor"	0.0465578
sub-projects	0.046209
Mbeya	0.0461965
sq.km	0.0461359
ferryboat	0.0458474
"catchment area"	0.0457439
culvert	0.0455435
"annual payment"	0.0454184
"two @-pointers"	0.0451565
"water tank"	0.044913
B-@s	0.0446845
"British High Commission"	0.0442779
"water project"	0.0442319
"four @-pointers"	0.0439941
"Indian High Commission"	0.0435139
E-ZPass	0.0432043
"mountain gorilla"	0.0428988
"Lord's Resistance Army"	0.042191
"United States Embassy"	0.0419778
Stealers	0.0418146
turbine	0.0418143
orderliness	0.0417583
"almost $@ billion"	0.0416088
mw	0.0413758
"polling booth"	0.041249
"telephone network"	0.0412141
"three schools"	0.0412053
great-grandchildren	0.0409879
takeaways	0.0409629
"city planning"	0.0406561
purifier	0.0404761
Publicis	0.0403946
"major-league team"	0.0403583
Kigoma	0.0400832
tractor-trailers	0.0400029
))
(borer (desc 1247.6) (sims
aphid	0.0761467
Ishihara	0.0720055
locust	0.07021
pest	0.069475
fibroids	0.0663934
"plant disease"	0.0659751
Meguid	0.0657405
Ashrawi	0.0643416
Chevenement	0.0637498
Rossotti	0.0610911
Nickerson	0.0602876
"Iranian Foreign Ministry"	0.0600794
Dodik	0.0586836
"kidney stone"	0.0583507
Allchin	0.0580456
Strauss-Kahn	0.0575738
Zacarias	0.0575706
"Lebanese Hezbollah"	0.0569501
blinder	0.056014
Whiting	0.0550587
Yazdi	0.0550167
"Bill Skate"	0.0544584
Giordano	0.0544246
Gosper	0.0542875
Maharaj	0.0539143
Aventajado	0.0531949
fungi	0.052852
Walesa	0.0528409
Klestil	0.0527028
canker	0.0526751
Sato	0.0522304
Carollo	0.051994
Menchu	0.0518397
Nebiolo	0.0516932
fungus	0.0516455
hippocampus	0.050995
Majko	0.0508873
gallstone	0.0507915
Vance	0.0503208
Juppe	0.0502788
Taleban	0.0501861
Kavan	0.0497566
VW	0.0496381
Mucha	0.0492988
"foot-and-mouth disease"	0.0485485
"Secretary General Esmat Abdul-Meguid"	0.0482248
Bizimungu	0.0476847
"woman's body"	0.0466035
Juma	0.0458665
mite	0.0458313
termite	0.0457867
Pugh	0.0457126
Bruton	0.0456358
"Carol Bellamy"	0.0448483
Warshaw	0.0445214
Kumar	0.0444151
Kasoulides	0.0444056
Jett	0.0443972
Aoki	0.0443472
franchisee	0.0442963
"Ahmed Qureia"	0.0441027
Inhofe	0.0440741
plasterboard	0.0440387
Schottenheimer	0.043736
merchandiser	0.0437307
Sarid	0.0435886
Singson	0.0435822
Shamshad	0.0434891
Plavsic	0.043334
"Yugoslav Army"	0.0432596
Harman	0.0432224
Neeman	0.0431112
Lice	0.042928
Mackey	0.0428711
O@@@:H@	0.0428267
Troussier	0.0428062
"fruit fly"	0.0426917
Wiseman	0.0424244
Yastrzhembsky	0.0423161
Fiorina	0.0421788
pathogen	0.0421701
Safir	0.0419821
temblor	0.0418976
"fire ant"	0.0415203
Simitis	0.0414281
"three schools"	0.0412712
Advani	0.0411423
"Ramsey Clark"	0.0411276
Goldin	0.0410079
Nasrallah	0.0409947
"Patsy Ramsey"	0.0409808
Lamberth	0.0409314
Modell	0.0408753
Fino	0.0407954
Arens	0.0407701
duffer	0.0405305
Barad	0.0405287
BURNHAM	0.0404944
FALWELL	0.0404582
"tooth decay"	0.0402663
Ciampi	0.0402515
"cluster bomb"	0.0402364
Finkel	0.0401906
Mineta	0.0401734
Rodionov	0.0401585
"Salim Hoss"	0.0401166
))
(Borg (desc 4025.11) (sims
"Bjorn Borg"	0.236215
Wilander	0.189621
Connors	0.183621
McEnroe	0.170912
"Ivan Lendl"	0.147399
Evert	0.135086
Navratilova	0.131745
"Roy Emerson"	0.127646
"Jimmy Connors"	0.113627
Woodruff	0.101397
Laver	0.0980538
Berasategui	0.0973036
Newcombe	0.093084
"Arthur Ashe"	0.0904901
Gimelstob	0.0879669
Stoltenberg	0.0862686
Haarhuis	0.0835844
"American Chanda Rubin"	0.0831217
Sampras	0.081823
"John McEnroe"	0.0817673
Gustafsson	0.0812522
rios	0.0810872
Emerson	0.0808125
Sanchez-Vicario	0.0803431
Agassi	0.0792552
Medvedev	0.0776959
Gambill	0.0766445
Tauziat	0.0762359
Kremer	0.0743586
Edberg	0.074046
Schottenheimer	0.0735358
Krajicek	0.0729117
Testud	0.0726267
Laudrup	0.072177
Capriati	0.0716728
Haas	0.0716266
Atler	0.0715227
Bjorn	0.0714746
Ulihrach	0.0712688
Bjorkman	0.0711919
"American Todd Martin"	0.0705858
Mauresmo	0.0704106
Schalken	0.0700633
Jansher	0.069907
Kuerten	0.0695431
Puerta	0.0695218
Moya	0.0694164
Schnyder	0.0692286
Sidot	0.0691959
Henman	0.069083
Clavet	0.0690207
"Rod Laver"	0.0688048
Majoli	0.0687197
Kucera	0.0686229
Lucic	0.0682851
Likhovtseva	0.0681054
Safin	0.0672582
Coetzer	0.0671789
"Calgary Flames"	0.0665885
Kafelnikov	0.0665381
Pavel	0.0659477
Lindland	0.065938
Polgar	0.0659374
Holliday	0.0658772
Susanti	0.0657631
Rusedski	0.0653939
Bruguera	0.064225
Pioline	0.0640172
Raoux	0.0639285
Nicol	0.0634127
Enqvist	0.0633207
Philippoussis	0.0632693
Swardt	0.063187
Becker	0.0626102
Sugiyama	0.0625761
Hrbaty	0.062208
Samuelson	0.0616773
Corretja	0.0608838
Prinosil	0.0605876
Shenhua	0.0599355
Kournikova	0.0597942
Spadea	0.0597485
Gomez	0.0595831
"Arnaud Di Pasquale"	0.0594052
Hingis	0.0593515
"Andre Agassi"	0.0592971
"American Michael Chang"	0.059281
Montgomerie	0.0590785
Damm	0.0588044
Dosedel	0.0587331
Frenchwoman	0.058653
Schett	0.0586223
Matthaeus	0.0584916
"Michael Chang"	0.0584443
Bierhoff	0.0583851
Zvereva	0.0582237
Huber	0.0581573
"Stefan Edberg"	0.057843
"Amelie Mauresmo"	0.0578249
Woodforde	0.057681
Dortmund	0.0576626
Faldo	0.0576141
Tarango	0.0573718
Sautin	0.057344
"Serena Williams"	0.0573049
"Australian Mark Philippoussis"	0.0570943
Seles	0.0570157
Kiefer	0.0569296
Dragomir	0.0569104
Hewitt	0.0568602
Johansson	0.0568077
"Van Roost"	0.0566189
Aventajado	0.0565354
Serena	0.056387
Davenport	0.0562439
hogan	0.0561098
Korda	0.0561026
"Miguel Indurain"	0.0558923
Larsson	0.0558371
Taufik	0.0556292
Gogel	0.0553432
"Xavier Malisse"	0.0551479
Lareau	0.0550765
Campos	0.0550382
Rafter	0.0549824
Chang	0.0549384
"River Plate"	0.0548529
"Pete Sampras"	0.0546728
Novotna	0.0545891
Tomba	0.0545532
Hirst	0.0545091
Karpov	0.0543095
Mendez	0.0537354
Santoro	0.0534417
Supersonics	0.0533127
Halard-Decugis	0.053259
"Adrian Voinea"	0.0531988
Raines	0.0530173
Ruehe	0.0528609
Kipketer	0.0526343
Kasparov	0.0524603
Suarez	0.052452
"Arantxa Sanchez-Vicario"	0.0523673
Deportivo	0.0522917
"Mary Joe Fernandez"	0.0522181
"Scott Draper"	0.0521093
"Davis Love III"	0.0520494
Longo	0.0520241
Plante	0.0520139
Marinovich	0.051927
Ochoa	0.0517559
estes	0.0517314
Ilie	0.0516937
Ferreira	0.0516173
"Gustavo Kuerten"	0.0514159
"Lleyton Hewitt"	0.0513643
"Monica Seles"	0.0513612
Dutchman	0.0513218
Mantilla	0.0512851
Rosen	0.0511792
"David Duval"	0.0509376
Dragila	0.0509012
Clement	0.0508621
Danner	0.0508534
Scrooge	0.0507753
"Magnus Norman"	0.0505996
Fiedler	0.0505895
Zanardi	0.050532
"Gong Ruina"	0.0503629
"Chris Evert"	0.0503298
Golota	0.0502852
Choi	0.050224
Woodbridge	0.050156
"Earnhardt Jr."	0.049977
"Marc Rosset"	0.0498638
"Tommy Haas"	0.0498522
Goran	0.0498311
Meligeni	0.0496993
"Lisa Raymond"	0.0496592
Arias	0.0496266
"Mirjana Lucic"	0.0495999
"San Jose Sharks"	0.0495713
"Jerome Golmard"	0.0494966
"Arnold Palmer"	0.0493826
Okada	0.0492717
Pincay	0.0492524
"Larry Nelson"	0.0492445
Ivanisevic	0.049221
Schuessel	0.049199
Paes	0.0491976
Popov	0.049193
Drummond	0.0491637
Irvan	0.0490892
"Kim Clijsters"	0.0490804
"Hale Irwin"	0.0490546
Moyer	0.0490473
DiCarlo	0.0490455
Lamberth	0.0490166
"Jana Novotna"	0.0489747
Charlton	0.0489458
))
(Borges (desc 3955.63) (sims
Nabokov	0.0952969
Plath	0.0941855
Heaney	0.092727
Puzo	0.0922247
Joyce	0.0916032
Dominguez	0.0903877
Welty	0.0894313
Tharp	0.0890199
McCourt	0.0875632
Weiner	0.0868608
Proust	0.0837464
Faulkner	0.0835553
Sartre	0.0800404
Burroughs	0.0798836
Ellison	0.078195
Braswell	0.0773844
Schiller	0.0769061
Donahue	0.0768001
Hemingway	0.075128
Steinbeck	0.0751204
Chao	0.0745435
Neff	0.0742781
Edson	0.0722681
Postel	0.0715829
Pushkin	0.07134
HELLER	0.0706046
Gorey	0.0705038
Theroux	0.0702454
Tolstoy	0.070113
Allende	0.0700127
Fitzgerald	0.0693788
Hartley	0.0687904
Poe	0.0681711
Skiles	0.0678999
Hamill	0.0672595
Contreras	0.0670148
Figueroa	0.067
Remnick	0.0665007
Troussier	0.0659232
Byrdsong	0.0658105
Hess	0.0656242
Lessig	0.0650326
MALICK	0.0648792
Salinger	0.0648214
Farber	0.0647878
Chappell	0.0641919
Sobel	0.0641382
Gielgud	0.0641252
Dickens	0.0638491
Alexie	0.0638216
Rossotti	0.0635448
Krugman	0.0635239
McKenna	0.0632436
Soares	0.0631818
"Mark Twain"	0.0630023
Godwin	0.0629863
Larson	0.062746
"E.B White"	0.0626336
Bryson	0.0622518
Morrison	0.0620906
Sheehan	0.0619026
Zucker	0.0618549
Lehane	0.0618406
Conrad	0.0617093
Sade	0.0616635
Weinstein	0.0615401
Vidal	0.0614919
Dubus	0.0614443
Rushdie	0.0611932
Hoffmann	0.0607774
Kearin	0.0604892
Kafka	0.0603523
Rodrigo	0.0603466
Fuentes	0.0602107
Twain	0.0597728
Cheever	0.0596787
Naumann	0.0596009
Archimedes	0.0595483
"Ernest Hemingway"	0.0595073
Grisham	0.0594597
Schulz	0.0594268
"Edgar Allan Poe"	0.0592787
Aquino	0.059084
Updike	0.0590754
Wasserstein	0.0590672
Lange	0.0589359
Wolfe	0.0589323
Chadwick	0.0588471
Milbury	0.0587063
Kerik	0.0585642
Posner	0.058441
Myhrvold	0.0582981
Trudeau	0.0582411
Cahill	0.0582153
Spurrier	0.0581316
Whitfield	0.0578728
Bates	0.0578113
Hine	0.0577412
Schmid	0.0576308
Jager	0.0576097
Coelho	0.0575889
Lowry	0.0573906
McCartney	0.0573524
O'Connell	0.0572429
Connelly	0.0572208
Wyeth	0.0571944
Bustamante	0.0571756
Wannstedt	0.0570658
Schottenheimer	0.0569604
Blume	0.0568731
Hoffman	0.0568444
Rowling	0.0568336
Tate	0.0567851
Jarrell	0.0566163
Wolfson	0.0564382
Plunkett	0.0563594
Boyle	0.0563571
Dempsey	0.056251
Sheehy	0.0562115
Bubb	0.0560943
Doyle	0.0560525
Solzhenitsyn	0.0560458
Fleischer	0.0559413
Chekhov	0.0559344
Brokaw	0.05589
Goethe	0.055889
Melville	0.0557835
Halberstam	0.0557455
Hagen	0.0556463
Rosenthal	0.0555831
Rubenstein	0.0555313
"Bowling Green"	0.0555262
Bellow	0.0550555
Flaherty	0.0550339
McPhee	0.0548284
McCullough	0.054794
Ziegler	0.0546422
Ruggiero	0.0544698
Gutman	0.0544226
Eizenstat	0.0544109
Rudman	0.0543992
Nietzsche	0.0543849
Carollo	0.0542133
Brecht	0.0541998
Samuelson	0.0541792
Crichton	0.0541379
Gaulle	0.0540944
Siegel	0.0540614
Dunne	0.053911
"Ingmar Bergman"	0.0538401
Groh	0.0537896
Dragila	0.0537537
LaChiusa	0.0536645
Patel	0.0535922
Daley	0.0535853
Engelberg	0.0535447
Hitchens	0.0535393
Grossman	0.0534884
Rivlin	0.0534854
Tintin	0.0534326
Newhouse	0.0534006
Seuss	0.0533062
sexton	0.0532055
O'Malley	0.0531656
Sorensen	0.0531056
Tracey	0.0528166
Bowles	0.0528142
Balzac	0.0527824
Dahmer	0.0526802
Hauser	0.0526052
Sommer	0.0525339
Celestine	0.0524543
Sykes	0.0523588
Ponciano	0.05235
hodgson	0.0523453
Rosenbaum	0.0523345
Harr	0.0523019
Leland	0.052297
LeBlanc	0.052257
Bech	0.0522019
Hitchcock	0.0521879
Barros	0.0521866
Purdy	0.0521359
Nkabinde	0.0521146
Cleary	0.0521068
Edmondson	0.05205
Reinsdorf	0.0520186
Thurber	0.0519889
Colangelo	0.051959
Hatfield	0.0519376
Hyman	0.0519295
Belo	0.0519238
"La Russa"	0.0519195
Maher	0.0519123
Durwood	0.0517818
Diouf	0.0517218
Grunwald	0.0516815
Heidi	0.0516653
Groening	0.0515914
Saramago	0.0515329
))
(BORIS (desc 4490.18) (sims
"Jason Alexander"	0.0809016
"Kim Il Sung"	0.0600849
Nate	0.0595131
"Kim Dae Jung"	0.0587061
"Aslan Maskhadov"	0.0558389
"Dee Dee"	0.0523646
Andrei	0.0517084
"Hafez Assad"	0.0514102
"Abdurrahman Wahid"	0.0506065
Melinda	0.0494353
Alan	0.0487576
Doug	0.048726
"Bashar Assad"	0.048271
Judas	0.0476843
"Fernando Henrique Cardoso"	0.047428
"Alexander Lukashenko"	0.0468973
Sukarno	0.0460589
"Sonia Gandhi"	0.0454947
"Vladimir Putin"	0.0454429
"Jacques Chirac"	0.0441894
"James P. Hoffa"	0.0441741
"Mikhail Gorbachev"	0.0440632
Linda	0.0437321
Eduardo	0.0435823
"Jacques Santer"	0.0435416
"Lech Walesa"	0.0431814
Erik	0.0429268
Yitzhak	0.042488
Wahid	0.0423414
"Jamil Mahuad"	0.0423369
Connie	0.0421745
"Steve Ballmer"	0.0418423
"Mohammad Khatami"	0.041459
Weah	0.0411522
"Ernesto Zedillo"	0.0411277
"Sepp Blatter"	0.0409152
Andy	0.0407003
"Peony Pavilion"	0.0405146
"Alberto Fujimori"	0.040318
"Jonathan Pollard"	0.0402731
"B.J Habibie"	0.0401078
))
("Boris Becker" (desc 10881.5) (sims
"Michael Chang"	0.343559
"Richard Krajicek"	0.341078
"Thomas Muster"	0.339354
"Yevgeny Kafelnikov"	0.326398
"Jim Courier"	0.313487
"Andre Agassi"	0.30809
"Goran Ivanisevic"	0.306354
"Michael Stich"	0.304384
"Marcelo Rios"	0.303396
"Pete Sampras"	0.301113
"Steffi Graf"	0.299723
"Patrick Rafter"	0.297876
"Thomas Enqvist"	0.295968
"Anke Huber"	0.286056
"Petr Korda"	0.284835
"Sergi Bruguera"	0.277966
"Carlos Moya"	0.277825
"Stefan Edberg"	0.272929
"Tim Henman"	0.272822
"Monica Seles"	0.272744
"Tommy Haas"	0.269775
"Nicolas Kiefer"	0.26327
"Arantxa Sanchez Vicario"	0.260587
"Gustavo Kuerten"	0.259568
"Mark Philippoussis"	0.258517
"Conchita Martinez"	0.256424
"Alex Corretja"	0.25603
"Lindsay Davenport"	0.253301
"Wayne Ferreira"	0.252845
"Marc Rosset"	0.251115
"Iva Majoli"	0.250373
"Todd Martin"	0.248619
"Mary Pierce"	0.246123
"Pat Rafter"	0.23733
"Arantxa Sanchez-Vicario"	0.234664
"Jason Stoltenberg"	0.23287
"Martina Hingis"	0.232579
"Greg Rusedski"	0.231473
"Jonas Bjorkman"	0.231421
"Felix Mantilla"	0.224393
"Cedric Pioline"	0.223203
"Jana Novotna"	0.218313
"Karol Kucera"	0.218115
"Magnus Norman"	0.217592
"Albert Costa"	0.215258
"John McEnroe"	0.207901
"Russian Yevgeny Kafelnikov"	0.207213
"Magnus Gustafsson"	0.203642
"Venus Williams"	0.201747
"Ai Sugiyama"	0.201329
"Alberto Berasategui"	0.199178
"Mats Wilander"	0.198129
"Andrei Medvedev"	0.195884
"Serena Williams"	0.19558
"Jennifer Capriati"	0.19438
"Amanda Coetzer"	0.192966
"MaliVai Washington"	0.191798
"Bjorn Borg"	0.188231
"Rainer Schuttler"	0.187779
"Francisco Clavet"	0.187542
"Jan-Michael Gambill"	0.187248
"American Pete Sampras"	0.186035
"Nathalie Tauziat"	0.185893
Kafelnikov	0.18559
"Byron Black"	0.184721
"Marat Safin"	0.1839
"Tamarine Tanasugarn"	0.183689
"American Michael Chang"	0.18319
"Mariano Puerta"	0.182303
"Magdalena Maleeva"	0.181802
"Todd Woodbridge"	0.181392
"David Prinosil"	0.177244
"Kenneth Carlsen"	0.176371
"Jeff Tarango"	0.175191
"Ivan Lendl"	0.174645
"Mark Woodforde"	0.174591
"Anna Kournikova"	0.174478
Agassi	0.174202
"Amelie Mauresmo"	0.174083
"Kimiko Date"	0.172943
"Patty Schnyder"	0.172165
"Irina Spirlea"	0.171856
"Julie Halard-Decugis"	0.17177
"Filip Dewulf"	0.171178
"Scott Draper"	0.170728
"Alex O'Brien"	0.17039
"American Todd Martin"	0.170157
"Andrea Gaudenzi"	0.17
"American Chanda Rubin"	0.168973
"Amy Frazier"	0.168955
"Thomas Johansson"	0.168045
"Heryanto Arbi"	0.167706
"Ye Zhaoying"	0.167591
"Dominique Van Roost"	0.16722
"Sandrine Testud"	0.166946
"Mary Joe Fernandez"	0.166067
"Sargis Sargsian"	0.165543
"Leander Paes"	0.165266
"Chanda Rubin"	0.164296
"Jimmy Connors"	0.164167
"Fabrice Santoro"	0.163953
"Kong Linghui"	0.163381
"Lleyton Hewitt"	0.163241
Kuerten	0.162527
"Sjeng Schalken"	0.162046
"Richard Fromberg"	0.161877
"Martina Navratilova"	0.160572
"Peter Gade Christensen"	0.158989
Moya	0.158809
"Nathalie Dechy"	0.15853
"Judith Wiesner"	0.158426
"Dominik Hrbaty"	0.158395
"Peter Nicol"	0.158237
"Arnaud Clement"	0.158055
"Albert Portas"	0.157966
"Yayuk Basuki"	0.157933
"Gunda Niemann-Stirnemann"	0.157652
"Arnaud Di Pasquale"	0.157614
"Rodney Eyles"	0.156793
"Jansher Khan"	0.156639
Siemerink	0.156603
Sampras	0.156317
"Brenda Schultz-McCarthy"	0.156243
"Ruxandra Dragomir"	0.155694
"Vincent Spadea"	0.15516
"Hernan Gumy"	0.154516
"Barbara Schett"	0.154112
"Barbara Paulus"	0.15388
"Hicham Arazi"	0.153646
"American Lindsay Davenport"	0.153479
"Naoko Sawamatsu"	0.15338
"Lisa Raymond"	0.153366
"Magnus Larsson"	0.1516
"Alberto Costa"	0.15149
"American Andre Agassi"	0.151165
"Nicolas Escude"	0.151036
"Javier Sanchez"	0.149959
"Peter Rasmussen"	0.149908
"Fernando Meligeni"	0.149603
"Younes El Aynaoui"	0.149338
"Martin Schmitt"	0.149178
Seles	0.147955
"Gong Zhichao"	0.147933
Becker	0.147426
"Liu Guoliang"	0.147424
"Paul Haarhuis"	0.14695
rios	0.146922
"Heike Drechsler"	0.146853
Enqvist	0.146655
"Sebastien Grosjean"	0.146529
"Nicolas Lapentti"	0.146267
"Joko Suprianto"	0.146058
"Katja Seizinger"	0.145853
"Sabine Appelmans"	0.144838
"Natasha Zvereva"	0.144712
"Brett Steven"	0.144281
"Roger Federer"	0.14417
"Guillaume Raoux"	0.143526
"Li Fang"	0.142867
"Silvia Farina"	0.142171
"Camilla Martin"	0.142162
"Anne-Gaelle Sidot"	0.142085
"Sarah Pitkowski"	0.141489
"Arnaud Boetsch"	0.139484
"Elena Likhovtseva"	0.139
"Barbara Rittner"	0.137774
"Juan Carlos Ferrero"	0.137245
"Sanchez Vicario"	0.137244
"Davide Sanguinetti"	0.137071
"Renzo Furlan"	0.137055
"Wang Nan"	0.136208
"Marcelo Filippini"	0.135861
"Adrian Voinea"	0.135535
"Sandra Voelker"	0.135473
Corretja	0.135453
"Marcos Ondruska"	0.134618
Bjorkman	0.134569
"Franco Squillari"	0.134539
"Jerome Golmard"	0.134465
"Australian Mark Philippoussis"	0.1342
Henman	0.134193
"Gianluca Pozzi"	0.133945
"Asa Carlsson"	0.133722
"Galo Blanco"	0.133597
Bruguera	0.132887
"Andres Gomez"	0.132862
"Jelena Dokic"	0.132625
"Wang Liqin"	0.131716
Stoltenberg	0.130679
Ivanisevic	0.13039
"Carlos Costa"	0.130342
"Paul Tergat"	0.130128
Hendrawan	0.129825
Krajicek	0.129671
"Joannette Kruger"	0.129614
Berasategui	0.129314
"Tatiana Panova"	0.128631
"Mariano Zabaleta"	0.128596
"Chris Woodruff"	0.127942
"Jonathan Stark"	0.127928
"Jan-Ove Waldner"	0.127864
"Mikael Tillstrom"	0.127861
Novotna	0.127704
"Magui Serna"	0.127004
"Andrei Pavel"	0.126115
Pioline	0.125935
"Susi Susanti"	0.125702
"Dai Yun"	0.124991
Top-seeded	0.124785
"Karim Alami"	0.124752
"Daniel Nestor"	0.124354
"Hilde Gerg"	0.124007
"Ramon Delgado"	0.123896
"Michael Schumacher"	0.123797
"Justin Gimelstob"	0.123747
"Julian Alonso"	0.123558
"Xia Xuanze"	0.123535
Hingis	0.123464
"Anne Kremer"	0.123395
"Elena Dementieva"	0.123026
"Vince Spadea"	0.122862
"Cara Black"	0.122801
"Slava Dosedel"	0.122778
"Fung Permadi"	0.122096
"Dong Jiong"	0.121909
Majoli	0.121729
"Li Ju"	0.121576
"Guy Forget"	0.12142
Susanti	0.121379
"Martina Ertl"	0.121158
"Mark Knowles"	0.120884
"Wayne Black"	0.120208
Sanchez-Vicario	0.12016
"Ge Fei"	0.119721
Rusedski	0.119462
"Richey Reneberg"	0.119451
"Nicklas Kulti"	0.119109
Coetzer	0.117996
"Tara Snyder"	0.117975
Philippoussis	0.117968
"Borussia Dortmund"	0.117933
"Taufik Hidayat"	0.11777
Davenport	0.117639
"Jorgen Persson"	0.117123
"Ong Ewe Hock"	0.116686
"Grant Stafford"	0.116439
"Andrew Ilie"	0.115969
Chang	0.115747
"Mia Audina"	0.115697
Rafter	0.114381
Dragomir	0.114329
"South African Amanda Coetzer"	0.114128
"Florencia Labat"	0.11406
"Briton Greg Rusedski"	0.113926
"Mahesh Bhupathi"	0.113098
Edberg	0.113029
"Garry Kasparov"	0.112926
"Dalian Wanda"	0.112862
Testud	0.112602
"Andreas Vinciguerra"	0.112569
Kaiserslautern	0.112481
"Henrieta Nagyova"	0.112435
"Wang Chen"	0.111878
"Steve Campbell"	0.111467
"Juan Antonio Marin"	0.111369
Korda	0.110748
"Christian Ruud"	0.11071
"Daniel Vacek"	0.110565
"Erik Zabel"	0.110432
"Mirjana Lucic"	0.1096
"Michelle Kwan"	0.109594
"Moses Tanui"	0.109213
"Paola Suarez"	0.109186
Kournikova	0.108656
"Karina Habsudova"	0.10844
"Bohdan Ulihrach"	0.108419
"Neville Godwin"	0.108277
"Vladimir Samsonov"	0.108272
"Xavier Malisse"	0.108148
Dosedel	0.107613
"Olga Barabanschikova"	0.107345
Clavet	0.107135
"Jean-Philippe Gatien"	0.10696
"Wang Tao"	0.106792
Ulihrach	0.106526
"Anatoly Karpov"	0.106453
"Alexandra Stevenson"	0.106436
"Sebastien Lareau"	0.106011
Nacional	0.105821
"Miriam Oremans"	0.105618
"Jiri Novak"	0.105183
Kiefer	0.10483
"Colin McRae"	0.104686
Muster	0.104517
"Shanghai Shenhua"	0.104044
Rosset	0.103342
"Buster Douglas"	0.103325
"Michael Doohan"	0.103171
"Jacques Villeneuve"	0.102463
"Zoran Primorac"	0.102054
"Michael Tebbutt"	0.10201
Kucera	0.102
"Chris Evert"	0.101967
Graf	0.101957
"Rita Grande"	0.101911
"Maurice Greene"	0.101816
Kroslak	0.101741
"Bayern Munich"	0.101479
Zvereva	0.101427
"Rashid Sidek"	0.101339
Ullrich	0.101339
"Ma Lin"	0.101217
"Kinder Bologna"	0.100852
"Maria Butyrskaya"	0.10067
"Svetlana Khorkina"	0.100423
Waldner	0.100356
))
("Boris Berezovsky" (desc 6939.93) (sims
"Vladimir Gusinsky"	0.239275
Ka-shing	0.186997
Berezovsky	0.163352
"Sam Wyly"	0.153363
"Silvio Berlusconi"	0.151172
"Lucio Tan"	0.150749
"Ronald Perelman"	0.142771
"Gianni Agnelli"	0.12793
"George Soros"	0.120339
"Richard Branson"	0.116016
"Eli Broad"	0.115127
oligarch	0.108261
"Howard Milstein"	0.106497
"Donald Trump"	0.103955
"Moshood Abiola"	0.096526
"Rupert Murdoch"	0.0954911
"Sergei Kiriyenko"	0.0936246
"Craig McCaw"	0.0928664
"Ted Turner"	0.0908185
"Carl Icahn"	0.0894435
"William Randolph Hearst"	0.0880293
"Ron Burkle"	0.0859673
"David Geffen"	0.0851945
"Martin Frankel"	0.0850974
tycoon	0.083776
"Tung Chee-Hwa"	0.0836324
"Michael Milken"	0.0821612
"Andrew Carnegie"	0.0801082
Hariri	0.0800593
"Sergei Stepashin"	0.0795092
"Boris Nemtsov"	0.0790639
Stepashin	0.0772783
"Daim Zainuddin"	0.0765151
Talal	0.0748605
"Ward Connerly"	0.0730321
Soros	0.0730138
"Anatoly Chubais"	0.0723199
mogul	0.0721153
"Robert E. Rubin"	0.0720736
magnate	0.0717954
Skuratov	0.0710544
"Steve Forbes"	0.0692628
"Michael Ovitz"	0.067789
"Bob McNair"	0.0675734
"Barry Diller"	0.0675588
philanthropist	0.0669442
"John Malone"	0.0666723
"Michael Dell"	0.0664299
Laden	0.0660147
Jovanovic	0.0657397
"Yevgeny Primakov"	0.0655182
"Rafik Hariri"	0.0650285
Wiranto	0.0648044
Taubman	0.0644456
"Bruce Lindsey"	0.0637515
"Peter Mandelson"	0.0631522
"Sam Rainsy"	0.0631369
"Vladimir Putin"	0.0629661
Gusinsky	0.0627999
Chubais	0.0626652
"Alexander Lebed"	0.0622723
Kiriyenko	0.0619325
Kommersant	0.0613234
Bulatovic	0.0610133
"Orlando Mercado"	0.0608402
Demaci	0.0607863
"Jerry Colangelo"	0.060762
"Vernon Jordan"	0.0594492
"Viktor Chernomyrdin"	0.0594442
"Michael Heseltine"	0.0594064
"Roosevelt Johnson"	0.0591802
"cabinet minister"	0.0589178
Siazon	0.0585428
"Mikhail Kasyanov"	0.0576821
"Aslan Maskhadov"	0.0569955
"Megawati Sukarnoputri"	0.0566243
Berlusconi	0.0564485
Magaziner	0.056195
"George Speight"	0.0561461
"Yuri Maslyukov"	0.0557305
Warshaw	0.0556578
"Terry McAuliffe"	0.0554586
"Vuk Draskovic"	0.0552163
banker	0.055111
Branson	0.054944
baron	0.0544766
"Paul Allen"	0.0543588
Rodionov	0.0543478
"Robert Aventajado"	0.0542599
Murdoch	0.0539205
Industrialist	0.0537173
"Adem Demaci"	0.0536159
"James Carville"	0.0535043
Yandarbiyev	0.0532676
financier	0.0530981
Lukashenko	0.0530934
"Erskine Bowles"	0.0530713
"Russian Communist Party"	0.0530256
"Jon Corzine"	0.0529526
"Lawrence Summers"	0.0528938
"Fatos Nano"	0.0528495
Sakakibara	0.0528231
Primakov	0.0527258
Lebed	0.0526198
Mukora	0.0525518
"Carter Eskew"	0.0518058
Musharraf	0.0517354
"Donna Shalala"	0.0516967
Shays	0.0515711
"Bill Gates"	0.0513971
"Guy Millner"	0.0511025
Rubin	0.0510012
"Robert Rubin"	0.050891
"Igor Ivanov"	0.0508172
"Osama Bin Laden"	0.0503878
Maskhadov	0.0502157
Mandelson	0.0501703
"Frank Stronach"	0.0501042
Symington	0.0500334
"Khaleda Zia"	0.0498661
Azizah	0.0496488
"Jaswant Singh"	0.0496328
"Prime Ministers"	0.0495445
Anwar	0.0490354
"Galina Starovoitova"	0.0489798
"Richard Holbrooke"	0.0489334
CEC	0.0489042
Hasan	0.0488763
silber	0.0486414
Prewitt	0.0486281
"Bora Milutinovic"	0.0486053
"government officials"	0.0485898
"Igor Sergeyev"	0.0482843
Speight	0.0482327
Cubas	0.0481244
"Gennady Zyuganov"	0.0481007
"George Stephanopoulos"	0.0480892
Weizman	0.0479887
Zacarias	0.0479809
Riordan	0.0479666
Mohajerani	0.0479437
McGuinness	0.0479432
Bowles	0.0479059
"Boris Yeltsin"	0.0478897
"Ralph Reed"	0.0478111
Napolitano	0.0477436
"James Hormel"	0.0476885
"Anwar Ibrahim"	0.0475093
Abiola	0.0473516
"labor leader"	0.0472336
"Dan Glickman"	0.0472026
"Ross Perot"	0.0471185
"Secretary General Esmat Abdul-Meguid"	0.0470804
"Time Warner Inc."	0.0470497
"Dick Morris"	0.0470394
"Cyril Ramaphosa"	0.046877
"Mark Cuban"	0.0468235
"Ibrahim Rugova"	0.0467268
Kasyanov	0.046653
insider	0.046567
Sturm	0.046525
"executive secretary"	0.0463462
Nouri	0.0462284
"Aryeh Deri"	0.0461604
"Vladimir Zhirinovsky"	0.0460885
"Vaclav Klaus"	0.0460537
"Al Sharpton"	0.045985
Musa	0.0457465
Maslyukov	0.0457115
"Boris Fyodorov"	0.0457104
"Ahmed Tibi"	0.0456871
"Bill Murray"	0.0456289
"Tom Hicks"	0.0455965
Ruehe	0.0455815
Chernomyrdin	0.0455403
Vasile	0.045478
Tung	0.0453887
Abdel-Meguid	0.0452735
Erbakan	0.0452338
Koo	0.0451515
"Ariel Sharon"	0.0449257
"Henry Cisneros"	0.0449226
cleric	0.0449138
Pangalos	0.0448323
crony	0.0448096
Berisha	0.0447838
Megret	0.0446948
"Larry Flynt"	0.0445825
"Grigory Yavlinsky"	0.0444794
"Jeffrey Katzenberg"	0.0444723
Scalfaro	0.0443891
Lari	0.0443531
"Bill Richardson"	0.0441799
"Amien Rais"	0.0441438
"Mike Murphy"	0.0440721
"Joerg Haider"	0.0440675
"William Perry"	0.0439949
Wetherell	0.0439929
"Henry Ford"	0.0439647
"business leader"	0.0439153
))
("Boris Fyodorov" (desc 2409.11) (sims
"Anatoly Chubais"	0.300623
"Boris Nemtsov"	0.252215
"Yuri Maslyukov"	0.201727
"Oskar Lafontaine"	0.191477
"Alexander Shokhin"	0.18803
"Amnuay Virawan"	0.183048
"Ronnie Flanagan"	0.182181
"Ray Evernham"	0.180113
"Renato Ruggiero"	0.173143
"Joel Klein"	0.172183
"Eisuke Sakakibara"	0.166958
"Supachai Panitchpakdi"	0.156729
"Vladimiro Montesinos"	0.153875
Chubais	0.153251
"Charles LaBella"	0.151151
"Kiichi Miyazawa"	0.149541
"Mikhail Kasyanov"	0.147656
"Gordon Brown"	0.146698
"Dan Meridor"	0.14539
"Alexander Lebed"	0.144999
"Sergei Kiriyenko"	0.142575
"Daim Zainuddin"	0.138564
"Tim Fischer"	0.136488
"Xanana Gusmao"	0.136343
"Lee Hsien Loong"	0.135357
"Barry McCaffrey"	0.132412
"Richie Phillips"	0.132007
"Lino Oviedo"	0.130806
"Vuk Draskovic"	0.129035
"John Prescott"	0.125368
"Laurent Fabius"	0.122517
"Michel Camdessus"	0.121836
"Rolf Ekeus"	0.121431
"Wim Duisenberg"	0.120915
"John Koskinen"	0.12062
"Sadako Ogata"	0.119413
"Abdullah Ahmad Badawi"	0.118971
"Hans Blix"	0.117731
"Richard Butler"	0.115564
"Tom Welch"	0.115001
"Mitt Romney"	0.114266
"Gulbuddin Hekmatyar"	0.111937
"Billy Payne"	0.111404
"Nabil Shaath"	0.110554
"Bernard Kouchner"	0.10986
"George Tenet"	0.108372
"Mike Moore"	0.106863
"Vojislav Seselj"	0.10643
Haq	0.105144
"Bruce Teitelbaum"	0.10339
"Anwar Ibrahim"	0.101952
"Tareq Aziz"	0.101923
Wiranto	0.100673
Rodionov	0.100118
"Goran Persson"	0.0981528
"Mary Robinson"	0.0980908
"Saeed Hajjarian"	0.0973931
"Wolfgang Schaeuble"	0.0964352
"Faisal Husseini"	0.0963101
"Billy Hunter"	0.0959881
"Yossi Sarid"	0.0958066
"Shaul Mofaz"	0.0955475
"Fehmi Agani"	0.0947418
Zadornov	0.0937655
"Ansumane Mane"	0.093182
"Michael Heseltine"	0.0915514
"Ariel Sharon"	0.0913977
"Fayez Tarawneh"	0.0909234
"Carol Bellamy"	0.0901529
"Pervaiz Musharraf"	0.0892421
"Grigory Yavlinsky"	0.0891662
"Pascoal Mocumbi"	0.08906
"Qian Qichen"	0.0882486
"Phan Van Khai"	0.0882147
"Xie Zhenhua"	0.0881657
"Jerzy Buzek"	0.0866499
"Danny Yatom"	0.0844517
"Zhu Rongji"	0.0843616
"Mahmoud Abbas"	0.0831475
"Mikulas Dzurinda"	0.0829163
"George Robertson"	0.0824612
Buthelezi	0.0824455
"Abu Mazen"	0.0822612
"Barry R. McCaffrey"	0.082171
"Gennady Zyuganov"	0.0820316
"Bernie Ecclestone"	0.0817831
"Ivan Kostov"	0.0813204
"Viktor Orban"	0.0799583
Bildt	0.0790177
"Kim Yong Nam"	0.0783509
"Saeb Erekat"	0.0774882
Ouattara	0.0774071
"Bill Lann Lee"	0.0763214
"Pervez Musharraf"	0.0762677
"Pandeli Majko"	0.0762633
"Yitzhak Mordechai"	0.0760107
"Tansu Ciller"	0.0758776
"Yossi Beilin"	0.0756851
"Viktor Chernomyrdin"	0.0753219
"Jaswant Singh"	0.07475
"Ricardo Alarcon"	0.0743955
"Yasser Abed Rabbo"	0.0736956
"Igor Sergeyev"	0.0735743
"M. Douglas Ivester"	0.073528
"Jack Valenti"	0.0734804
"Jeffrey Katzenberg"	0.0732772
"Bulent Ecevit"	0.0732304
"David Levy"	0.0729324
"Chavalit Yongchaiyudh"	0.0727588
"Hashim Thaci"	0.0720521
"Tariq Aziz"	0.071941
Portillo	0.0718279
"Mesut Yilmaz"	0.0716813
"Kenneth Clarke"	0.0713369
"Necmettin Erbakan"	0.0712407
"Vaclav Klaus"	0.0707674
"Valery Pustovoitenko"	0.0707209
"Li Lanqing"	0.0703767
"Khin Nyunt"	0.070292
"Salim Hoss"	0.0698475
"Sam Rainsy"	0.0698347
"William Walker"	0.0695317
"Dai Bingguo"	0.0685847
"Tony Coelho"	0.0684733
Fabius	0.068323
Tarawneh	0.0683199
Vasile	0.0680709
Fyodorov	0.0675144
"Vladimir Putin"	0.0674023
"Bashkim Fino"	0.0672068
"John Anderson"	0.0670395
"Gene Sperling"	0.0665877
"Yevgeny Primakov"	0.0663901
Parks	0.0662799
"John Shalikashvili"	0.0660324
"Michael Eisner"	0.0659886
"Stanley Fischer"	0.0654348
"Kim Jong-pil"	0.0654337
Fraga	0.0646422
"Begum Khaleda Zia"	0.0646247
"Hans von Sponeck"	0.0642015
Supachai	0.0638541
"Dai Xianglong"	0.0634643
"Javier Solana"	0.0633532
"Haim Ramon"	0.0630928
"Milorad Dodik"	0.062977
"Ieng Sary"	0.062768
"Milos Zeman"	0.0626798
"Azem Hajdari"	0.0624678
"Sergei Stepashin"	0.0620117
"National Sports Council"	0.0618128
"Fatos Nano"	0.061538
"Pakalitha Mosisili"	0.0614599
Misuari	0.0608159
"Barry Diller"	0.0607695
"Lee Kuan Yew"	0.0605
"Tang Jiaxuan"	0.0604229
"Nur Misuari"	0.0603055
"Francisco Labastida Ochoa"	0.0602823
"Horst Koehler"	0.060212
Poplasen	0.0601858
Venables	0.0601743
"Lawrence Summers"	0.0601438
"Gregory Craig"	0.0599696
"Gro Harlem Brundtland"	0.0597698
Bulatovic	0.059498
"Krishna Prasad Bhattarai"	0.0594759
"Robert Rubin"	0.0592639
Maslyukov	0.0591727
"Benazir Bhutto"	0.0590121
"David Trimble"	0.0589883
"Lionel Jospin"	0.0586755
Ben-Ami	0.0586175
Zambrano	0.0586105
"Karen Hughes"	0.0586062
wen	0.0584464
"Ding Guangen"	0.0579908
"Yoshiro Mori"	0.0577093
Eizenstat	0.0576753
"Peter Mandelson"	0.0576357
"David Bar-Illan"	0.0575631
"Gerald Levin"	0.0575141
"Jacques Rogge"	0.0573269
Prewitt	0.0572245
"Romano Prodi"	0.0569996
"William Hague"	0.0569629
"Momir Bulatovic"	0.0569425
"Wu Bangguo"	0.0568501
"Long Yongtu"	0.0567977
Iger	0.05679
"Carter Eskew"	0.0565986
"Sergei Yastrzhembsky"	0.0564599
Sassa	0.0564523
"Klaus Naumann"	0.0563626
"Chuan Leekpai"	0.0561773
Sharansky	0.0561217
"Rod Thorn"	0.0559917
"John Howard"	0.0559319
Bhattarai	0.0558472
"Juan Antonio Samaranch"	0.0557704
))
("Boris Nemtsov" (desc 3273.57) (sims
"Alexander Shokhin"	0.32963
"Anatoly Chubais"	0.280316
"Yuri Maslyukov"	0.257732
"Boris Fyodorov"	0.252215
"Mikhail Kasyanov"	0.212242
"John Prescott"	0.205645
"Sergei Kiriyenko"	0.204582
"Yossi Sarid"	0.200799
"Lee Hsien Loong"	0.197374
"Supachai Panitchpakdi"	0.197313
"Vojislav Seselj"	0.194271
"Vuk Draskovic"	0.188943
"Michael Heseltine"	0.187483
"Tim Fischer"	0.185962
"Grigory Yavlinsky"	0.181768
"Amnuay Virawan"	0.180418
"Qian Qichen"	0.172957
"Bashkim Fino"	0.169664
Nemtsov	0.16726
"Galina Starovoitova"	0.159682
"Ivan Kostov"	0.154561
"Tareq Aziz"	0.15254
"Tariq Aziz"	0.152438
"Igor Sergeyev"	0.146646
"Chavalit Yongchaiyudh"	0.146505
"Haim Ramon"	0.145788
"John Anderson"	0.145578
"Mikulas Dzurinda"	0.142491
"Yitzhak Mordechai"	0.141861
"Anwar Ibrahim"	0.141832
"Tansu Ciller"	0.141711
"Viktor Chernomyrdin"	0.141663
"Yossi Beilin"	0.141643
"Faisal Husseini"	0.141598
"Abdullah Ahmad Badawi"	0.139727
"Xie Zhenhua"	0.138463
"Valery Pustovoitenko"	0.135297
"Saeed Hajjarian"	0.134942
"Viktor Orban"	0.133474
"Daim Zainuddin"	0.132935
"Phan Van Khai"	0.132502
"Laurent Fabius"	0.132087
"Ariel Sharon"	0.131909
Rodionov	0.131806
"Pascoal Mocumbi"	0.129672
"Jenny Shipley"	0.128815
"Sergei Stepashin"	0.128756
"Natan Sharansky"	0.128234
"Nabil Shaath"	0.128028
"Alexander Lebed"	0.127948
"Necmettin Erbakan"	0.12784
Bildt	0.127313
"Nur Misuari"	0.127006
"Dan Meridor"	0.126951
"Zhu Rongji"	0.126787
Chubais	0.126725
Ben-Ami	0.125859
"Victor Chernomyrdin"	0.125174
Axworthy	0.12366
"George Robertson"	0.123561
"Bertie Ahern"	0.123072
"Lee Kuan Yew"	0.120847
"Milos Zeman"	0.120455
"Fehmi Agani"	0.120448
"Seamus Mallon"	0.120153
"Mike Moore"	0.11955
"Kiichi Miyazawa"	0.119393
"Fayez Tarawneh"	0.118788
"Jiang Chunyun"	0.118137
"Aslan Maskhadov"	0.117675
"Vaclav Klaus"	0.116958
"Yegor Stroyev"	0.116867
"Milorad Dodik"	0.1164
"Bulent Ecevit"	0.11636
"David Levy"	0.115589
"Mesut Yilmaz"	0.115209
"Lamberto Dini"	0.115198
Camdessus	0.114849
"Ieng Sary"	0.11452
"Vo Van Kiet"	0.11407
"Khin Nyunt"	0.114018
Zadornov	0.113853
"Salim Hoss"	0.112145
"Abdollah Nouri"	0.111958
"Romano Prodi"	0.111742
Dehaene	0.111505
"Gulbuddin Hekmatyar"	0.111341
"Goran Persson"	0.111195
"Kim Yong Nam"	0.11073
Kiriyenko	0.110561
Buthelezi	0.110478
"John Bruton"	0.110279
"Yevgeny Primakov"	0.109604
"Abu Ala"	0.109402
"Dai Bingguo"	0.108942
"Chuan Leekpai"	0.108911
"Igor Ivanov"	0.108638
"Wen Jiabao"	0.108491
"Li Lanqing"	0.108146
"Tang Jiaxuan"	0.10792
"Francisco Labastida Ochoa"	0.10739
"Yoshiro Mori"	0.107376
Ecevit	0.107142
"Rafik Hariri"	0.107002
Karimov	0.106728
"Pandeli Majko"	0.106521
"Saeb Erekat"	0.106423
Siazon	0.106407
"Jerzy Buzek"	0.105998
Al-Sabah	0.105894
Shaath	0.105874
"Hashim Thaci"	0.105673
Stoyanov	0.105201
"Martin Lee"	0.105026
"Yasser Abed Rabbo"	0.104966
Rifkind	0.104887
"Antonio Guterres"	0.104699
"Eisuke Sakakibara"	0.104516
"Long Yongtu"	0.104444
"Shi Guangsheng"	0.104438
"Lokendra Bahadur Chand"	0.104268
"Wim Kok"	0.103816
"Bernard Kouchner"	0.103791
"Abu Mazen"	0.103761
"Bizima Karaha"	0.103705
"de Charette"	0.103216
Jayakumar	0.1031
"Azem Hajdari"	0.102704
Chavalit	0.102672
"Dai Xianglong"	0.102655
"Hanan Ashrawi"	0.10225
"Ricardo Alarcon"	0.101939
Guterres	0.101897
"Meles Zenawi"	0.101469
Sergeyev	0.101465
"Mahmoud Abbas"	0.101368
"Ding Guangen"	0.101211
Lebed	0.100865
Ganzouri	0.100618
"Massimo D'Alema"	0.100542
"Atal Bihari Vajpayee"	0.100495
"Shimon Peres"	0.100181
Eizenstat	0.100126
"Xanana Gusmao"	0.100033
"David Trimble"	0.0997383
"Than Shwe"	0.0994515
Harmoko	0.099286
"Defense William Cohen"	0.098877
"Aryeh Deri"	0.0988679
Hoss	0.0986647
"Costas Simitis"	0.0984429
"Gerry Adams"	0.0984296
Zhirinovsky	0.098326
Sahnoun	0.0981589
Komura	0.0971678
"Maung Aye"	0.0969364
"Wu Bangguo"	0.0967892
"Goh Chok Tong"	0.0967842
"Momir Bulatovic"	0.0967486
"Prime Minister Kamal El-Ganzouri"	0.0962892
"Jean Chretien"	0.0959474
Alatas	0.0958612
"Atal Behari Vajpayee"	0.0957422
"John Podesta"	0.0955678
"Fatos Nano"	0.0954982
el-Ganzouri	0.0953957
Kwasniewski	0.095268
"John Major"	0.095199
"Wu Yi"	0.0950937
"Martin McGuinness"	0.0950633
Misuari	0.0950605
Boueiz	0.0950262
"Wlodzimierz Cimoszewicz"	0.0948713
"Peter Mandelson"	0.0943876
"William Perry"	0.0942243
"H.D Deve Gowda"	0.0938215
Seleznyov	0.0938135
Klima	0.0937204
"Secretary General Esmat Abdul-Meguid"	0.093691
"Ung Huot"	0.0936694
"Benazir Bhutto"	0.0935621
"Jaswant Singh"	0.093554
Narayanan	0.092919
Shevardnadze	0.0927243
Talbott	0.0925365
"Zhu Lin"	0.0925
"Kim Jong-pil"	0.0922573
Bulatovic	0.0922469
"John Howard"	0.0921296
Velayati	0.0915236
Lipponen	0.091486
"Pakalitha Mosisili"	0.0912346
Chretien	0.0912225
"Oskar Lafontaine"	0.0912103
Nazarbayev	0.0910271
"Norodom Ranariddh"	0.0906578
"William Daley"	0.0904392
Ahtisaari	0.0904035
Ruehe	0.0903997
"Li Zhaoxing"	0.0903112
))
("Boris Yeltsin" (desc 16237.2) (sims
Yeltsin	0.204854
"Jacques Chirac"	0.165139
Kuchma	0.156725
"Vladimir Putin"	0.156174
"Romano Prodi"	0.155261
"Yevgeny Primakov"	0.154239
"Keizo Obuchi"	0.150279
"Viktor Chernomyrdin"	0.136785
Hashimoto	0.135797
"John Major"	0.133008
"Ryutaro Hashimoto"	0.130974
Demirel	0.13075
Wahid	0.128933
"Fernando Henrique Cardoso"	0.126883
"Lamberto Dini"	0.126809
"Sergei Kiriyenko"	0.126274
"Carlos Menem"	0.125739
"Hosni Mubarak"	0.124647
Putin	0.122825
Moi	0.121873
Nazarbayev	0.121744
"Atal Bihari Vajpayee"	0.119384
Primakov	0.118697
"Benjamin Netanyahu"	0.11673
"Yoshiro Mori"	0.116612
"Jean Chretien"	0.116295
Obuchi	0.116073
Chirac	0.115669
"Ernesto Zedillo"	0.114901
"Helmut Kohl"	0.112531
"Radu Vasile"	0.112038
"Inder Kumar Gujral"	0.111508
Lukashenko	0.110943
"Chavalit Yongchaiyudh"	0.110524
Clerides	0.110507
Cubas	0.110275
"Chuan Leekpai"	0.108645
al-Assad	0.108386
"Sheikh Hasina"	0.107932
"Kim Jong Il"	0.107854
"Alexander Lukashenko"	0.107797
"Nelson Mandela"	0.107791
"Mikhail Gorbachev"	0.106857
"Jiang Zemin"	0.106837
"Suleyman Demirel"	0.106834
"Ehud Barak"	0.106641
"William Cohen"	0.105773
Fujimori	0.105072
al-Bashir	0.105012
"Yasser Arafat"	0.10467
"Juan Antonio Samaranch"	0.104482
"Tony Blair"	0.104443
"King Fahd"	0.104363
"Martti Ahtisaari"	0.104249
D'Alema	0.104064
Mugabe	0.103877
Rafsanjani	0.103723
Weizman	0.103432
"Atal Behari Vajpayee"	0.102877
"Nawaz Sharif"	0.102828
Suharto	0.102727
"George Bush"	0.102661
"Thabo Mbeki"	0.102603
"Jose Maria Aznar"	0.10238
Rakhmonov	0.102192
"John Bruton"	0.101873
"Jerzy Buzek"	0.101328
"Franjo Tudjman"	0.101275
"Fatos Nano"	0.101117
"Shimon Peres"	0.100684
"Alain Juppe"	0.100411
"Slobodan Milosevic"	0.100244
"Olusegun Obasanjo"	0.100073
"Fidel Castro"	0.099583
"Ivan Kostov"	0.0994186
"Ismail Cem"	0.0991021
"Abdurrahman Wahid"	0.0990734
Habibie	0.0990043
Mandela	0.0988983
Chernomyrdin	0.0985642
"President Kim Dae-jung"	0.0983893
"Victor Chernomyrdin"	0.0983227
"Alberto Fujimori"	0.0982777
"Goh Chok Tong"	0.0981189
Soeharto	0.098031
"Kim Dae Jung"	0.0980292
"Hafez Assad"	0.0979941
"Vaclav Klaus"	0.0979447
"Bill Clinton"	0.0975868
"Costas Simitis"	0.0975685
"Jimmy Carter"	0.0972045
Rua	0.0971689
"Igor Ivanov"	0.0971422
"B.J Habibie"	0.0966612
"Jamil Mahuad"	0.0965517
"P.V Narasimha Rao"	0.0965276
"Salim Hoss"	0.0960185
"David Levy"	0.0959896
"Wim Kok"	0.0956535
Khatami	0.0954871
Assad	0.0953869
"King Hussein"	0.0953296
"John Howard"	0.095267
"Zhu Rongji"	0.0952661
"Valery Pustovoitenko"	0.0945609
Vajpayee	0.0945496
"Kamal Kharrazi"	0.0942658
Samaranch	0.0942231
"Rafik Hariri"	0.0942175
Mubarak	0.094134
"Mahathir Mohamad"	0.0940845
"Antonio Guterres"	0.0938458
Sharif	0.0937597
"Necmettin Erbakan"	0.0936813
"Richard Nixon"	0.0935581
Museveni	0.0932673
Mbeki	0.0929619
Klerk	0.0928097
"Bertie Ahern"	0.0926514
Arafat	0.0925493
Maskhadov	0.092414
"Lionel Jospin"	0.0921678
Samper	0.0918713
"Pasteur Bizimungu"	0.0918381
Sukarno	0.0913888
"Sepp Blatter"	0.0913259
Gingrich	0.0912706
Netanyahu	0.0911136
"Binyamin Netanyahu"	0.0909974
Tudjman	0.0909081
"Atef Obeid"	0.0908538
"Andres Pastrana"	0.0908527
Chancellor	0.0902346
al-Sharaa	0.0898129
"Hun Sen"	0.0894292
Mobutu	0.0891917
"Bulent Ecevit"	0.0889681
Barak	0.0889134
Mahathir	0.0885842
Peres	0.0884475
Zedillo	0.0884387
"Michel Camdessus"	0.0882749
"Amr Moussa"	0.0882315
Blair	0.0881715
Berisha	0.0878101
"Sali Berisha"	0.0877997
Dae-jung	0.0875553
Mahuad	0.0874582
"Sergei Stepashin"	0.0874328
"Tang Jiaxuan"	0.0874091
Kohl	0.0873962
Chiluba	0.0872786
"Vaclav Havel"	0.0870366
Cardoso	0.0869809
Hasina	0.0867766
Abubakar	0.0867759
Kiriyenko	0.0866368
"Paavo Lipponen"	0.0865877
"Hubert Vedrine"	0.0863405
Pastrana	0.0862451
Menem	0.0860941
"Jordanian King Hussein"	0.0860867
"Saddam Hussein"	0.0860228
Chuan	0.0856061
"Benazir Bhutto"	0.0853334
Banharn	0.0852549
"Newt Gingrich"	0.0852401
"Robert Mugabe"	0.0851913
"Javier Solana"	0.0851896
Estrada	0.085104
Wiranto	0.0850875
"Vo Van Kiet"	0.0848336
Lebed	0.0845378
Saddam	0.0841753
"Tomiichi Murayama"	0.0839866
"Robert Rubin"	0.0839195
"President Kim Young-sam"	0.0839174
Nujoma	0.0837615
Simitis	0.0836291
Kwasniewski	0.0835712
Obasanjo	0.0832067
"Igor Sergeyev"	0.0830988
Havel	0.0830946
president-elect	0.0830918
"Wang Daohan"	0.0829348
Hariri	0.0829261
"Pope John Paul II"	0.0827534
"Wlodzimierz Cimoszewicz"	0.0827247
Castro	0.0827224
Lahoud	0.082186
"Li Peng"	0.0821206
"Pandeli Majko"	0.0815816
"Meles Zenawi"	0.0815657
"Bashkim Fino"	0.0815496
"Yoweri Museveni"	0.0814512
"King Abdullah"	0.0812087
"Hugo Chavez"	0.0808028
"Jacques Santer"	0.0805081
"Wim Duisenberg"	0.0804894
"President Lee Teng-hui"	0.0803452
))
(Bormio (desc 2163.41) (sims
Kitzbuehel	0.382465
Sestriere	0.380516
"Lake Louise"	0.260236
Hakuba	0.207323
Innsbruck	0.199647
Chamonix	0.189146
Lillehammer	0.180284
Vail	0.176713
Lahti	0.168526
"Park City"	0.166904
Trondheim	0.161115
Maribor	0.156292
"Sierra Nevada"	0.155952
Monza	0.145665
"World Cup Finals"	0.143171
"European Swimming Championships"	0.14271
Nagano	0.134517
Imola	0.133112
Heerenveen	0.130741
Basle	0.12995
"Key Biscayne"	0.129675
Suzuka	0.129638
"St Petersburg"	0.127757
"Melbourne Park"	0.127507
Linz	0.124379
Ipoh	0.123521
Perth	0.122832
Filderstadt	0.122457
Gelsenkirchen	0.120839
"San Sebastian"	0.118078
"Asian Winter Games"	0.117898
Fukuoka	0.116195
PALERMO	0.115951
Lugano	0.115877
"World Weightlifting Championships"	0.115396
Utrecht	0.109493
Malmo	0.108572
Lucerne	0.10664
Engelberg	0.104211
"World University Games"	0.103733
Hobart	0.103092
"World Athletics Championships"	0.102758
Langkawi	0.102358
"Hilton Head"	0.101025
Adelaide	0.10097
Seville	0.100906
Irwindale	0.0990753
"Indian Wells"	0.0982959
"Victoria Park"	0.0947997
"skiing race"	0.0939657
"Monte Carlo"	0.0933462
Halle	0.0931009
"World Team Cup"	0.0927904
Gothenburg	0.0927071
Catania	0.0919538
Yokohama	0.0908063
Duesseldorf	0.0901153
Breckenridge	0.0898393
"CHIANG MAI"	0.089578
Cardiff	0.0885934
BRATISLAVA	0.0880271
Sapporo	0.0873263
Genoa	0.0870155
"British Grand Prix"	0.0869425
Pattaya	0.0866885
Falun	0.0863306
Eindhoven	0.0862024
Zurich	0.0859199
Silverstone	0.0851749
Super-G	0.0851145
Chiba	0.0849763
"Olympic Winter Games"	0.0846763
Eastbourne	0.0837698
Nagoya	0.083675
Cavalese	0.0828491
"PETALING JAYA"	0.0820428
MELBOURNE	0.0814235
"Sydney Olympic Games"	0.0809382
Madras	0.0807854
Asuncion	0.0804829
"Bandar Seri Begawan"	0.0801449
"Swiss Open"	0.0795538
"Nagano Olympics"	0.0794306
"California Speedway"	0.0790612
"Wimbledon Tennis Championships"	0.0788186
Foxboro	0.0785345
KPU	0.0782479
Glasgow	0.0776756
Goteborg	0.0771999
Leipzig	0.0759389
Osaka	0.075099
"Las Vegas Motor Speedway"	0.0750128
"Melbourne Cricket Ground"	0.0749914
Nottingham	0.0749786
"Eighth National Games"	0.0746379
Brisbane	0.0743656
"Pikes Peak"	0.0737394
Bari	0.0737094
Auckland	0.0733261
Rotterdam	0.0729495
"National Games"	0.0729113
Maastricht	0.0714182
"Lipton Championships"	0.0713138
"Turkish Daily News"	0.0710527
"Atlanta Motor Speedway"	0.0708455
Bremen	0.0699221
SENDAI	0.0697971
Loudon	0.0695003
Verona	0.0692678
Dusseldorf	0.0692213
"London Marathon"	0.0690736
Stuttgart	0.0690096
"Atlanta Olympic Games"	0.0690008
"Commonwealth Games"	0.0689122
Trieste	0.0684557
"Roland Garros"	0.0683162
Lausanne	0.067928
"World Cycling Championships"	0.0678262
Durban	0.0677618
Highbury	0.0674862
Dunedin	0.0672722
"Daytona International Speedway"	0.0668196
Davos	0.0664721
Copenhagen	0.0663903
Essen	0.0662616
"Kinder Bologna"	0.0656759
"Volleyball Grand Prix"	0.0656683
"Watkins Glen"	0.0654072
"Renzo Furlan"	0.0652533
Sheffield	0.0651494
Calgary	0.0646799
"Georgia Dome"	0.0643126
"East Asian Games"	0.0642
Surabaya	0.0641738
Hanover	0.0641605
"Gulfstream Park"	0.0640974
"Old Trafford"	0.0640339
Plata	0.0637539
Mallorca	0.0633767
"Iranian Foreign Ministry"	0.0633758
"Rita Grande"	0.0632184
MANAMA	0.0630202
"Francesco Casagrande"	0.0629639
Strasbourg	0.0626881
"Max Biaggi"	0.0623946
"New Hampshire International Speedway"	0.062362
"Lahore High Court"	0.0618275
Yogyakarta	0.0616685
Carlsbad	0.0616448
"Le Mans"	0.0609053
Siena	0.0608271
"Manhattan Beach"	0.0607863
Hamburg	0.0606275
"New York City Marathon"	0.0606158
"Flushing Meadows"	0.0604923
Doha	0.0601455
"Nagano Winter Olympics"	0.0596703
Muscat	0.0591904
"London Metal Exchange"	0.0591569
Ouagadougou	0.0590927
Dover	0.0589998
Toulouse	0.0589971
"Texas Motor Speedway"	0.0589622
"National Tennis Center"	0.0588105
slalom	0.0587753
"Isolde Kostner"	0.058638
"Charlotte Motor Speedway"	0.0585536
Saint-Denis	0.0584857
"Villa Park"	0.0583974
Pisa	0.0583155
"Royal Birkdale"	0.0582917
Tashkent	0.058282
"Happy Valley"	0.05824
Daytona	0.05807
"Egyptian capital"	0.0578722
Wembley	0.0577954
Charleroi	0.0576908
"Miami Fusion"	0.057532
Toulon	0.0574913
"Gold Coast"	0.0572973
Luca	0.0571681
"Singapore dollar"	0.0568883
Minsk	0.0568797
"First Union Center"	0.0566482
Antwerp	0.0565489
Karlsruhe	0.0565033
Eilat	0.0564343
Spoleto	0.0564289
Midrand	0.0559273
"Secretary General Esmat Abdel-Meguid"	0.0559092
"Ho Chi Minh City"	0.0557403
Assisi	0.0557154
Pir	0.0551051
"Michele Bartoli"	0.0550437
"Chinese Basketball League"	0.0550187
"Anatolia News Agency"	0.0549933
Hannover	0.0548284
Pocono	0.0547726
Salerno	0.0547268
Perugia	0.0542033
))
(Born (desc 3888.03) (sims
"Star-Spangled Banner"	0.0788554
"E Street Band"	0.0649582
"Amazing Grace"	0.0644513
"Natural Born Killers"	0.0622903
Badlands	0.0575407
"Starr Report"	0.0562645
"Princess Mononoke"	0.0511686
Tuttle	0.0504631
Ashrawi	0.0499097
"Pulp Fiction"	0.048825
"Forrest Gump"	0.0485775
held	0.0485572
Cleary	0.0481704
Moby-Dick	0.047654
Lullaby	0.0474861
Mucha	0.0474629
"Jerry Maguire"	0.0465526
"Christmas carol"	0.0464272
"Happy Birthday"	0.046174
RealPlayer	0.0456843
Fiorina	0.0456146
"Serbian Orthodox Church"	0.0450262
Rivlin	0.0446608
"Night Fever"	0.0445614
obit	0.0442698
Kirkpatrick	0.0439214
Reiter	0.0434116
Liston	0.0433213
Brazile	0.0432436
"Kitty Hawk"	0.0431236
Hunchback	0.0425296
Forrest	0.0421703
Farley	0.0421627
Pearce	0.0419214
bridegroom	0.0418556
Pape	0.0414089
Kingsley	0.0412909
"Cliffs Notes"	0.0412543
Godfrey	0.041252
Lockwood	0.0411848
nunnery	0.0406768
Kusama	0.0406008
Webdale	0.0404075
"Lord's Prayer"	0.0402419
))
(Borneo (desc 3470.93) (sims
Kalimantan	0.252026
Sulawesi	0.23083
Sumatra	0.170485
"New Guinea"	0.148993
Kyushu	0.133007
"Irian Jaya"	0.132135
Luzon	0.119511
Mullaitivu	0.117061
Sakhalin	0.114926
Sipadan	0.108551
Sabah	0.103045
Riau	0.102701
Java	0.0989733
Hokkaido	0.0989622
"East Kalimantan"	0.0952473
Bali	0.0939479
Pemba	0.0919732
Oahu	0.0909095
Batam	0.0897399
Maluku	0.084783
"Cape Fear"	0.084287
Ambon	0.0811631
Crete	0.0793823
Hispaniola	0.078119
Bougainville	0.0780385
"Abu Musa"	0.077995
Palawan	0.0750389
curacao	0.073115
"Papua New Guinea"	0.072845
"Yucatan Peninsula"	0.0720244
Madeira	0.0719353
Basilan	0.0697906
Guadeloupe	0.0696154
Mindanao	0.069297
"Aegean Sea"	0.0683116
Timor	0.0681553
"Arabian Sea"	0.0676746
Sicily	0.0675751
"North Island"	0.0668319
"South Georgia"	0.0651431
Anjouan	0.0647309
"Vancouver Island"	0.063428
"French Guiana"	0.0633393
"Lake Michigan"	0.0627509
Jolo	0.0614752
"Baja California"	0.0607821
"West Africa"	0.060732
Corsica	0.0599778
"Indian Ocean"	0.0593301
Kauai	0.0591441
"Hainan Island"	0.0590064
Okinawa	0.0582974
"Beibu Gulf"	0.0580773
Guadalcanal	0.0579651
"Red Sea"	0.0570747
"South Atlantic"	0.0568623
"St. Helena"	0.0564755
Bohemia	0.0563596
"Cape Cod"	0.0557746
Nantucket	0.0553762
"South America"	0.0552806
Phuket	0.0550785
"St. Thomas"	0.0550538
Tasmania	0.0543069
"Nuevo Laredo"	0.0542634
Hainan	0.0532461
Aegean	0.0530777
Newfoundland	0.0523079
"St. Kitts"	0.0518962
"New Territories"	0.0515716
"Sea of Japan"	0.0514305
Patagonia	0.0509901
Puglia	0.0508845
"St. Croix"	0.0506783
"Mediterranean Sea"	0.0506275
"St. Maarten"	0.0504955
Lampung	0.0501827
"Leeward Islands"	0.0499943
Martinique	0.049238
"East China Sea"	0.0488443
"San Salvador"	0.0486452
"New South Wales"	0.0485187
"East Nusa Tenggara"	0.0484779
Vieques	0.0484237
Gujarat	0.0482897
Tigray	0.048215
Putumayo	0.0479153
"East Java"	0.0479124
Aruba	0.0477832
flatlands	0.0475871
Madagascar	0.0473973
Amazonian	0.0467966
Cozumel	0.0464959
Brunei	0.0463204
Langkawi	0.0462285
"Uttar Pradesh"	0.0461259
"Bohai Sea"	0.0458891
Labrador	0.0455525
Orissa	0.0455261
Johor	0.0450098
Calabria	0.0448417
"Outer Banks"	0.0447662
"Bohai Bay"	0.0446482
Aceh	0.0441715
highland	0.0439574
Xishuangbanna	0.0438574
Siberia	0.0437424
Adriatic	0.0435139
"Cape Verde"	0.0431107
Brittany	0.0430963
Greenland	0.043081
"Rocky Mountains"	0.0430404
Chiapas	0.0429207
"West Bengal"	0.0425957
ZHOUSHAN	0.0424685
"Gulf of Mexico"	0.0424183
Isthmus	0.0418927
Pampanga	0.0417278
Mid-Atlantic	0.0416725
"Big Sur"	0.0415687
Montserrat	0.0414727
archipelago	0.0413758
"Black Sea"	0.0411207
Burma	0.0410772
Maui	0.0407107
"Arabian Peninsula"	0.0407066
"Marin County"	0.0406341
Guam	0.0403572
"North Sea"	0.0402328
Belize	0.0401828
))
(Borodin (desc 1140.54) (sims
Kagalovsky	0.132847
Skuratov	0.13056
Aventajado	0.129914
Nebiolo	0.125722
Kulikov	0.12554
Havelange	0.123823
Blackthorne	0.123034
Maslyukov	0.122236
Ruthardt	0.122165
Galvin	0.121951
Yazdi	0.121024
Schreiber	0.120759
Ruehe	0.119557
Yastrzhembsky	0.11951
Menchu	0.118829
"Russian Defense Ministry"	0.117167
Tarrin	0.112853
McCurry	0.112812
Lockyer	0.112511
Hersh	0.112422
Reimer	0.112374
Mokhehle	0.111901
Ghalib	0.111883
Bruton	0.111659
Nasrallah	0.110026
Hamid	0.109345
Finkel	0.107553
Kazhegeldin	0.107022
Hage	0.106886
Bizimungu	0.106569
Berenson	0.10634
Ganga	0.106184
Haouari	0.105043
Iger	0.10388
Advani	0.102486
Ivester	0.10163
"Perez Balladares"	0.101249
Cavallo	0.100745
Dumas	0.100723
Rivlin	0.0999524
Izetbegovic	0.0998813
Boesak	0.0998107
Weizman	0.0995543
Ciampi	0.0993813
Espinoza	0.0990454
Fagan	0.0987365
Hynes	0.0984124
Schaeuble	0.0981512
Masire	0.0978712
"Cindy McCain"	0.0975284
Mukora	0.0974296
Merlino	0.0972171
Soares	0.0965756
Lileikis	0.0964229
Walesa	0.096325
Verney	0.0962985
Callaghan	0.0962678
Mikhailov	0.0961842
Baucus	0.0961449
Westendorp	0.0961339
Hoddle	0.0956494
"Raul Salinas"	0.0954659
Musa	0.0951352
Cianci	0.0944498
Indyk	0.0943651
Bakaly	0.0941188
Berezovsky	0.0933915
"Cary Stayner"	0.0932622
"Patsy Ramsey"	0.0929079
Khrushchev	0.0928685
Warshaw	0.0925691
Garcetti	0.0923595
Kalejs	0.0921737
Roussel	0.0920603
Barshefsky	0.0917901
Nickerson	0.0914905
DeFrantz	0.0913136
nance	0.0912548
Strauss-Kahn	0.0908539
"Le Pen"	0.090837
Kasyanov	0.0905453
Bratton	0.0905248
McGuinness	0.0905159
Koskinen	0.0904887
Zadornov	0.0903813
Fabius	0.0899449
Hevesi	0.0897227
"Carlos Salinas"	0.089667
Quackenbush	0.0895368
Bulatovic	0.0894083
Prabowo	0.0891872
Sanan	0.0891798
Orban	0.0890378
Feldman	0.0889264
Arbour	0.0888172
Nasser	0.0887699
Juppe	0.0885036
Caddell	0.0882965
Espinosa	0.0878753
Zuma	0.0874806
Broaddrick	0.0873109
Meciar	0.0870933
Teresi	0.0870855
Amin	0.0867698
Salinas	0.086761
Vogts	0.0864847
"El Hage"	0.0863772
"Amos Wako"	0.0863277
Kraus	0.086247
Connolly	0.0861931
Yoo	0.0856446
Boehner	0.0855735
Aguirre	0.0854834
Edelstein	0.0852474
Rawlings	0.0852335
Karr	0.0849856
Welch	0.08478
Biskind	0.0847013
Alatas	0.0845997
Berlusconi	0.0843928
Banharn	0.0843158
Carrera	0.0840226
Shipman	0.0838836
Dodik	0.0838661
Shalala	0.0837407
Demaci	0.0834721
Kerasiotes	0.0830536
Paxon	0.0829687
Bedie	0.0827262
Spyridon	0.082197
Jarrell	0.0821908
Eizenstat	0.0820615
Naumann	0.0819861
"Orlando Mercado"	0.0813061
Azizah	0.0812092
McAuliffe	0.0811429
Jorgensen	0.0811402
Nkabinde	0.081118
Flanagan	0.0809454
Vialli	0.0809446
Guei	0.0808801
Avila	0.0808626
Prueher	0.0808233
Khalil	0.0808102
Pugh	0.0807872
Villanueva	0.0805603
Hiddink	0.0803365
Bildt	0.0802833
"Albert Pirro"	0.0801729
Buthelezi	0.0801522
Maritz	0.0799081
MacKay	0.0798773
Brazile	0.0796508
Sharma	0.0792126
Camdessus	0.0790832
Weiner	0.0788833
Lundy	0.0788618
Gosper	0.0788328
Husseini	0.0787317
Samuelson	0.078589
Diouf	0.0785537
Basayev	0.0784589
Gorbachev	0.0784405
Rashid	0.0783649
Tella	0.0779125
Luzhkov	0.0777872
Sherrill	0.0776472
Seleznyov	0.0776255
Velayati	0.0775799
"Russian Interior Ministry"	0.0774764
Einhorn	0.0772844
Romanowski	0.0769832
Camacho	0.0769066
Giacchetto	0.0768805
Fiddes	0.0764913
Jayakumar	0.0764261
Hauser	0.0763909
Leghari	0.0758466
"Bill Skate"	0.0758251
Rawabdeh	0.0755393
Manley	0.0753333
Zarkin	0.0752936
Abdel-Meguid	0.075283
Schiffer	0.0752551
Babbitt	0.0751927
Waigel	0.0751396
Vasquez	0.075097
Eran	0.0750641
al-Sahaf	0.0750103
Pustovoitenko	0.0749939
Kambanda	0.0749098
Demjanjuk	0.0748931
Ramsey	0.0744145
Alarcon	0.0742763
Nikitin	0.0742472
Bhutto	0.074176
Hanna	0.0741428
Berger	0.0740098
BURNHAM	0.0739631
Aoki	0.0739332
))
(Boron (desc 1558.42) (sims
manganese	0.174769
cobalt	0.146903
cadmium	0.140204
Zinc	0.138603
chromium	0.138097
bauxite	0.126068
"rare earth"	0.113236
selenium	0.10761
"B vitamin"	0.10622
magnesium	0.105626
potassium	0.103457
sulfur	0.0927252
tungsten	0.0898761
Nickel	0.0892436
phosphorus	0.0885574
iodine	0.0780044
"iron ore"	0.0769644
Calcium	0.0767493
platinum	0.0738683
Gypsum	0.0721461
nitrogen	0.071757
radium	0.0698183
"vitamin D"	0.0686987
chlorine	0.0630678
"coal gas"	0.0599954
titanium	0.0582332
chrome	0.0557637
POTASH	0.05423
"vitamin A"	0.0540508
lithium	0.0529649
aluminium	0.0523711
"folic acid"	0.0517951
"vitamin C"	0.0515234
silicon	0.0503216
TCM	0.048228
graphite	0.0477321
"fish meal"	0.0460321
"growth hormone"	0.045438
oxide	0.0426661
leptin	0.040688
))
(borough (desc 15993.3) (sims
"Staten Island"	0.105907
neighborhood	0.102385
"The Bronx"	0.0992484
Brooklyn	0.095288
suburb	0.093359
district	0.0923796
county	0.0903778
"Westchester County"	0.0828892
Harlem	0.0812534
"New York City"	0.0811374
Manhattan	0.0793096
"South Bronx"	0.0772265
slum	0.0771127
precinct	0.0747852
"San Fernando Valley"	0.0742678
queen	0.0734804
Westchester	0.0723815
"congressional district"	0.0720704
Flushing	0.0711848
"Jersey City"	0.0708345
township	0.0691343
"Miami-Dade County"	0.0687852
"Greenwich Village"	0.06862
Chinatown	0.0682203
ASHEVILLE	0.0677396
"East St. Louis"	0.0677202
Astoria	0.0670118
"Long Island City"	0.0666131
"Washington Heights"	0.0665682
"suburban area"	0.0664094
Chattanooga	0.0663312
Williamsburg	0.0650651
"urban area"	0.0650635
Yonkers	0.0646713
Newark	0.0645465
"East Los Angeles"	0.0641259
"Orange County"	0.064065
"Hell's Kitchen"	0.0632756
Camden	0.0630207
"Central Park"	0.062245
"Little Italy"	0.0617984
"New Rochelle"	0.0613778
"small town"	0.0602399
"Empire State"	0.0602044
"District of Columbia"	0.0600375
LAKEWOOD	0.0599511
"Suffolk County"	0.0598576
"New Jersey"	0.0594335
Macon	0.0591731
tenement	0.0589819
"Long Island"	0.0585221
municipality	0.0576827
Greenwich	0.0575981
Hartford	0.0574087
skyline	0.0573781
"school district"	0.0573526
Montclair	0.0570515
TRENTON	0.0570149
"Montgomery County"	0.0569945
"rural area"	0.0569842
Stamford	0.0567005
parish	0.0564691
"inner city"	0.056385
Queens	0.0563424
downtown	0.056166
"Upper West Side"	0.055839
"San Francisco"	0.0558034
"criminal court"	0.0556071
Glendale	0.0555661
"Brooklyn Heights"	0.0554723
"East Village"	0.0550684
Port-au-Prince	0.0550475
Spokane	0.0547884
prefecture	0.0547821
"Union City"	0.0545747
Massachusetts	0.0545181
"Saratoga Springs"	0.0544697
"White Plains"	0.0541582
"Central American nation"	0.0541458
Lubbock	0.0540925
"South American country"	0.0539228
quarterfinalists	0.0532083
Fresno	0.0531547
Savannah	0.0530025
anchorage	0.0529806
Greenville	0.0529611
Pennsylvania	0.0528717
"Baton Rouge"	0.0527557
"Nassau County"	0.0526098
riverside	0.0525017
"Lower East Side"	0.0524227
Northeast	0.0524189
"North End"	0.0524159
valley	0.0522133
Bergen	0.0520477
colonias	0.0520331
enclave	0.052032
Brownsville	0.0518209
mayoralty	0.0517677
Laredo	0.0517627
"South Florida"	0.0516696
metropolis	0.0514531
"New Haven"	0.0514067
Dorchester	0.0513719
"business district"	0.0512175
Albany	0.0512035
Rochester	0.051187
"Metro Manila"	0.051181
skyscraper	0.0510087
"Bay Area"	0.0508457
Connecticut	0.050838
Bronx	0.0507591
"Little Havana"	0.0506306
"New York State"	0.0506154
"African nation"	0.0503521
underbelly	0.0501423
Jasper	0.0500572
Paterson	0.0499505
"apartment building"	0.0497686
"Los Angeles County"	0.0495758
"New Orleans"	0.0495509
"housing development"	0.0495008
Appalachia	0.0494854
Chatsworth	0.04923
"St. Paul"	0.0490469
"Central American country"	0.0488737
"Palm Beach County"	0.0487699
Richmond	0.0486819
TEGUCIGALPA	0.0486117
Bridgeport	0.048581
Bethlehem	0.0485658
"Miami Beach"	0.048553
locality	0.0484801
"Santa Fe"	0.0483518
Medford	0.0482414
"Little Rock"	0.0482348
"Brighton Beach"	0.0481025
Chappaqua	0.048012
"Van Nuys"	0.0478929
"board of education"	0.0478701
"East Hampton"	0.0478619
Galveston	0.0477029
Tampa	0.0476945
zoo	0.0475926
"city state"	0.0475422
Nassau	0.0475082
Burbank	0.0474803
"Rhode Island"	0.0474374
"city center"	0.0474309
"Oklahoma City"	0.0473891
"district attorney"	0.0473657
Juarez	0.0473336
Springfield	0.047274
"South End"	0.0472524
"Silicon Alley"	0.0472516
"city block"	0.0471189
"Kansas City"	0.0471126
Arkansas	0.0470618
"St. Petersburg"	0.0470051
Austin	0.0469745
"Round Rock"	0.0467927
Northampton	0.0467845
Miami-Dade	0.0467268
"East Harlem"	0.0467217
Archdiocese	0.046704
"east side"	0.0466765
"Northern California"	0.046639
Huntsville	0.0465973
"major-league team"	0.0465854
"Mount Vernon"	0.0465479
Quincy	0.0465468
flint	0.046524
Midtown	0.046479
"Fort Worth"	0.0464277
countryside	0.046385
southwest	0.0463484
Hebron	0.0462656
Medina	0.0461662
"Overland Park"	0.0461439
Virginia	0.046127
"Rockland County"	0.0460541
Encino	0.0460409
"zip code"	0.045991
Waterloo	0.0459691
midland	0.0459629
Tempe	0.0458234
subdivision	0.0457858
Worcester	0.0457698
"DeKalb County"	0.0457617
"Puerto Rico"	0.04569
Iowa	0.045671
"time zone"	0.0456006
Louisville	0.0455881
"Rocky Mount"	0.0454782
"state capital"	0.0454415
shantytown	0.0454059
"police department"	0.0453825
L.A	0.0453754
"federal district"	0.0453698
"Board of Supervisors"	0.0453169
))
("Borough Park" (desc 1342.53) (sims
"East New York"	0.314248
"Park Slope"	0.262779
Bensonhurst	0.25921
"Crown Heights"	0.225441
"Brighton Beach"	0.21915
"Red Hook"	0.216469
Bedford-Stuyvesant	0.198114
"Washington Heights"	0.195678
"Bay Ridge"	0.193621
Flatbush	0.186703
Astoria	0.156333
Williamsburg	0.154488
"Little Italy"	0.134676
"Forest Hills"	0.1326
"Hell's Kitchen"	0.128038
"Little Havana"	0.126041
Riverdale	0.122625
"East Los Angeles"	0.121356
"Cobb County"	0.11872
Kensington	0.118225
Roxbury	0.114683
Dorchester	0.112342
"Hyde Park"	0.10734
"Highland Park"	0.105256
"South Bronx"	0.105179
Harlem	0.102888
"North Beach"	0.102817
Chatsworth	0.101964
"East Harlem"	0.0989963
"Granada Hills"	0.0970384
"Old Town"	0.0969554
Morristown	0.0964292
Brentwood	0.0961684
"Studio City"	0.0929352
Buckhead	0.0905434
Englewood	0.0888331
"San Felipe"	0.0874068
"Coney Island"	0.0865499
Brownsville	0.0855833
Flushing	0.0854594
BRIGHTON	0.0852417
"Cherry Hill"	0.0843711
Tribeca	0.0840726
Dunwoody	0.0832604
"Long Island City"	0.0817037
Medina	0.081058
Chinatown	0.0808531
"Paradise Valley"	0.0788936
"Woodland Hills"	0.0780067
Holyoke	0.0768454
Wallingford	0.0760963
"West Los Angeles"	0.0733899
"North Hollywood"	0.0733767
Medford	0.0733626
"Van Nuys"	0.0731181
riverside	0.0730519
cul-de-sac	0.0727557
Westport	0.072607
Novosibirsk	0.0725107
Hasidic	0.0724255
Bundibugyo	0.0722392
Bloomfield	0.0713596
Mbarara	0.0705718
Queens	0.0700936
"Port St. Lucie"	0.0697759
"San Fernando Valley"	0.0697111
"Grand Junction"	0.0683761
"St. Albans"	0.068185
Kailahun	0.0670408
Cartagena	0.0669326
Northland	0.066466
Watts	0.0658658
"Port Moresby"	0.0657459
"Bel Air"	0.0657343
Portadown	0.0652738
"Happy Valley"	0.0652231
"central city"	0.0651085
"New York Times Book Review"	0.0648427
"Lake Worth"	0.0641236
"talk of the town"	0.0640259
"West Hollywood"	0.0636616
Charlestown	0.0631971
Arua	0.0630771
Pacoima	0.0627174
Mbale	0.0627111
Clifton	0.0624482
Tarzana	0.0619903
"Sherman Oaks"	0.0615339
"Antelope Valley"	0.0614951
Plano	0.0606249
"La Jolla"	0.06051
"East End"	0.0602204
Fremont	0.0601012
Londonderry	0.0599544
"Brooklyn Heights"	0.0599061
nonwhite	0.0594177
Poughkeepsie	0.0591516
Montclair	0.0591161
Olathe	0.0585151
"East Orange"	0.0579331
"Orthodox Jewish"	0.0579231
Alpharetta	0.0578584
Chappaqua	0.0577998
Camden	0.0577531
LAKEWOOD	0.057267
Brixton	0.0570454
nosebleed	0.0570019
"Har Homa"	0.0567382
Zhangzhou	0.0558888
"row house"	0.0552542
"skid row"	0.0552069
Matamoros	0.0551412
"Garvaghy Road"	0.0550751
Vedeno	0.0550532
Yonkers	0.0543965
"Mount Pleasant"	0.054266
Haifa	0.054179
Toulouse	0.0541786
"Westchester County"	0.0540648
"East Hampton"	0.0540557
Oxnard	0.0538087
Melrose	0.0537206
Paterson	0.0536347
Bronx	0.053494
"East Jerusalem"	0.0534164
ARCADIA	0.0533552
Lakeland	0.0533408
"Panama City"	0.0531697
Falmouth	0.0531569
Hollis	0.0528984
"Albanian capital"	0.0528055
"Delray Beach"	0.0526278
"Staten Island"	0.0525252
"West Palm Beach"	0.0524441
Alameda	0.0523865
Greenwich	0.0522811
Medellin	0.0522545
Ridgewood	0.0520245
Kitgum	0.0515581
Riga	0.0512563
"St. Croix"	0.0511452
Barrio	0.0511419
"Bergen County"	0.0508247
"Notting Hill"	0.050813
Nacogdoches	0.0505304
Norwood	0.0504751
Ojai	0.0504481
Reseda	0.0503766
Leawood	0.0502696
Duluth	0.0500572
Dubrovnik	0.0498945
"Santa Clarita"	0.049871
Jasper	0.049772
Wildwood	0.0497658
Amherst	0.0497514
Nago	0.0493979
"Manhattan Beach"	0.0493724
Igloo	0.0492791
Port-au-Prince	0.0492001
"South Boston"	0.0491337
Gloucester	0.0491062
"Anlong Veng"	0.0487762
"Gaza City"	0.0487064
"New Haven"	0.0484478
Redding	0.0483203
Hialeah	0.0480178
"Walnut Creek"	0.0479409
Greenwood	0.0478975
Chatham	0.0478734
"Nuevo Laredo"	0.0477519
"first school"	0.0475852
Decatur	0.0475059
Mostar	0.0474497
Encino	0.0471262
"San Pedro"	0.0471074
"Mission Viejo"	0.0469976
"Tarrant County"	0.0469427
tenderloin	0.0467223
Sylhet	0.0465209
"East Lake"	0.0464827
Oaks	0.0463841
Italian-American	0.0463728
"Jefferson City"	0.0462273
"Abu Dis"	0.0461207
Shreveport	0.0460487
Sephardic	0.0460167
"German capital"	0.0459457
"frequently asked question"	0.0458968
Dresden	0.0458936
Batticaloa	0.0458631
"Greenwich Village"	0.0457644
Tuscaloosa	0.0457154
Pomona	0.045586
Kirkland	0.045376
sq.km	0.045356
"Beacon Hill"	0.0452631
Fordham	0.0451977
Cali	0.0451492
Westfield	0.0451454
"line of duty"	0.0451185
))
(Borrego (desc 1151.57) (sims
Hajdari	0.138619
Byrdsong	0.132129
RFK	0.105278
Neulander	0.103468
"Lawton Chiles"	0.0940809
Peretz	0.0911074
Qureshi	0.0906272
Hybl	0.0904699
Merritt	0.090273
Appleby	0.0892488
Esposito	0.0879331
Nkabinde	0.086907
"Defense William Cohen"	0.0852389
Palczynski	0.085001
Slepian	0.084055
Raznatovic	0.0835159
Gerardi	0.0826802
Yazdi	0.0817997
Phills	0.0813184
Youk	0.079926
Caray	0.0793321
"Robert F. Kennedy"	0.0788182
Biko	0.0787412
NCEC	0.0782743
Thayer	0.0774752
Grunow	0.0770546
McLane	0.076823
Cavallo	0.0767564
Musa	0.074404
Demaci	0.0743038
Gaffney	0.0742852
Vogts	0.0731484
Felten	0.0726339
"civil rights leader"	0.0725748
Allchin	0.0725195
"Ruiz Massieu"	0.0723872
Esser	0.0723567
Villanueva	0.0718829
Cobain	0.0716677
"Olympic Council of Asia"	0.0714448
shalt	0.0712977
Machel	0.0711705
Warshaw	0.0709945
Neeman	0.0709771
Moscoso	0.0704195
Bellush	0.0703986
Husseini	0.0702892
Bakaly	0.0700155
Mendes	0.0697607
Tevanian	0.0697145
Levesque	0.0693768
Galindo	0.0689469
"labor leader"	0.0687856
Kazhegeldin	0.0685901
UAW	0.0685778
Bizimungu	0.0685469
Meskini	0.0684664
Sakakibara	0.0682292
"De Soto"	0.0680288
Machado	0.0668271
Camacho	0.066739
Dumitru	0.0660137
Sanan	0.0659704
Fuentes	0.0658371
"Operation Lifeline Sudan"	0.0657265
Kehoe	0.0649656
Raduyev	0.0649377
"Congressional Democrats"	0.0648164
Fabius	0.064635
Goodrich	0.064577
"Bashkim Fino"	0.0644491
Schmalensee	0.0643729
"U.S. Administration"	0.064328
Carville	0.064259
Montenegrins	0.0641209
Dumas	0.0640154
Lansky	0.0636329
Dorismond	0.0633283
Symington	0.063117
Fassett	0.0629747
Lennon	0.0628156
Kumar	0.0625536
Garzon	0.0623216
Koskinen	0.0621997
NRP	0.0621785
"mail carrier"	0.0620362
Burks	0.0619559
"Macao Government"	0.0619113
"Reggie Lewis"	0.0618663
burglar	0.0618319
Mitterrand	0.0615621
Chaudhry	0.0614434
Menchu	0.0613592
"National Security Adviser Sandy Berger"	0.0613083
Beckwith	0.0612623
"US State Department"	0.0611147
"Patrick Dorismond"	0.0610537
Monahan	0.0610161
"Donna Shalala"	0.0607632
Arkan	0.0607385
Barrionuevo	0.0606746
Walser	0.0605842
jailer	0.0603858
Coverdell	0.0603605
Percy	0.0603386
silber	0.0602575
Boehner	0.0601774
Starovoitova	0.0601626
Bildt	0.0600995
Blackthorne	0.0600976
Jovanovic	0.0598551
Levitt	0.0597769
Arizmendi	0.0596381
Durwood	0.0594608
right-winger	0.0590841
Kiareldeen	0.058979
Amedure	0.0589125
"Kosovo Serbs"	0.0589019
Hersh	0.0588282
Wiseman	0.0587398
Mukora	0.058528
"Medgar Evers"	0.0584858
Catacosinos	0.0584607
Haskins	0.0584033
Mucha	0.058352
Fahey	0.0583026
Oswald	0.0580537
Safir	0.0577709
Shoate	0.0576737
Babbitt	0.0576435
Zucker	0.0575149
Leland	0.0575069
Kirkpatrick	0.0572793
Blumenthal	0.0572539
HHS	0.0572216
Histadrut	0.0572014
"Scotty Bowman"	0.057142
"Tariq Aziz"	0.0568294
Piot	0.0567783
Blass	0.0567264
"Robert Byrd"	0.0565791
"CPC Central Commission for Discipline Inspection"	0.0565603
Lawler	0.056504
Trudeau	0.0564771
Escobar	0.0563569
Khalil	0.05607
tribesman	0.0559859
Barton	0.0559702
"Barnett Slepian"	0.0558621
Kroll	0.0556117
Villalonga	0.0555429
"Commonwealth Ministerial Action Group"	0.0554105
"Jia Qinglin"	0.0552796
"Huang Ju"	0.0551906
Carollo	0.0551593
Breuer	0.0551299
Montalvo	0.0550483
Imperatori	0.0550386
Colburn	0.0550363
Inhofe	0.0549843
Spyridon	0.0548339
Tudjman	0.0547135
"Felipe Gonzalez"	0.0547089
LaPierre	0.0545504
Zuma	0.0544256
Puente	0.0543163
Soong	0.0541393
"Harold Ickes"	0.054139
Mohamed	0.053928
Ickes	0.0539066
"Robert Kennedy"	0.0538055
"Cardinal John O'Connor"	0.0536305
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0535721
"Valery Pustovoitenko"	0.0535429
Taubman	0.053436
Nasrin	0.0533831
Rossello	0.0532127
Ileto	0.0531684
Westendorp	0.0531462
"British government"	0.0531357
Bettman	0.0530364
Dillon	0.0529468
Guerin	0.0528936
Barshefsky	0.0528913
McSorley	0.0528312
"Bin Laden"	0.0528201
Maritz	0.0527431
Swango	0.0525898
Virenque	0.0525562
Cosby	0.0525248
"Vo Van Kiet"	0.0525049
Ellison	0.0524592
McIntosh	0.0524259
Forrest	0.0524255
Papandreou	0.0524157
Custer	0.0523515
McGill	0.052348
Baer	0.0521092
Ruthardt	0.0520688
Natale	0.0520156
))
(borrower (desc 24049.2) (sims
"home buyer"	0.174888
debtor	0.172239
lender	0.143991
depositor	0.140342
homeowner	0.137623
customer	0.131561
taxpayer	0.12978
consumer	0.121404
applicant	0.117054
exporter	0.115724
buyer	0.115638
creditor	0.113039
"financial institution"	0.112689
investor	0.109791
individual	0.105264
recipient	0.10341
employer	0.102539
beneficiary	0.101685
bank	0.100595
bondholder	0.100111
policyholder	0.0997042
farmer	0.0993925
"commercial bank"	0.0984851
retiree	0.0969647
enterprise	0.0967618
"Russian bank"	0.0959757
homebuyers	0.0951077
user	0.0944167
client	0.0938811
issuers	0.0935045
insurer	0.0925454
corporation	0.0924381
tenant	0.0912513
importer	0.091169
loan	0.0906254
shareholder	0.0891944
employee	0.0888312
enrollee	0.0858805
worker	0.0849379
household	0.0842393
defaulter	0.0835616
donor	0.083051
firm	0.0828289
trader	0.0825606
mortgage	0.082416
"senior citizen"	0.0817654
businessmen	0.0814744
SMEs	0.0806923
developer	0.0804584
contractor	0.0799502
citizen	0.0797795
renter	0.0794203
student	0.0792926
lending	0.0789726
borrowing	0.0786738
claimant	0.0780285
manufacturer	0.0777556
"insurance company"	0.0767726
fund	0.0760571
airline	0.075966
broker	0.0758878
purchaser	0.0758798
"finance company"	0.0756012
"property owner"	0.0755326
resident	0.075463
patient	0.0749475
sector	0.0745936
retailer	0.0734965
shopper	0.073484
subscriber	0.0730563
"state enterprise"	0.0728823
supplier	0.0727921
advertiser	0.0726876
cardholders	0.0720208
institution	0.071937
plaintiff	0.0719019
"industrial enterprise"	0.0718375
parent	0.0718314
poor	0.0716453
entrepreneur	0.0715448
"school district"	0.0714139
grower	0.0712861
Filipino	0.0703455
"small farmer"	0.070285
stockholder	0.0701302
industry	0.0700917
payer	0.0695449
"bond issue"	0.0693923
elderly	0.0693423
merchant	0.0692277
speculator	0.0689361
"mutual fund"	0.0687491
owner	0.0687218
traveler	0.0686667
operator	0.0686123
debt	0.0686
smoker	0.0685724
banker	0.0685536
"married couple"	0.068523
ratepayer	0.068443
automakers	0.0682007
foreigner	0.0681478
participant	0.0680913
Banks	0.0675101
"banking system"	0.0665699
athlete	0.0664913
saver	0.0663712
seller	0.0659446
underwriter	0.0657603
"financial organization"	0.0657471
motorist	0.0656777
wrongdoer	0.0653756
dealer	0.065005
holder	0.0647302
offender	0.0646717
"college student"	0.0644355
shipper	0.0637259
senior	0.0635252
filers	0.0633571
"home mortgage"	0.063341
minority	0.0631928
"local government"	0.0631179
producer	0.062841
vendor	0.0626927
utility	0.0626107
"building society"	0.0625177
defendant	0.0624591
provider	0.0624273
"central bank"	0.0624253
Hispanic	0.0617561
person	0.0616312
financing	0.0615748
voter	0.0611582
visitor	0.0608843
"credit bureau"	0.0608778
bailout	0.0607745
co-op	0.0607233
entity	0.0605453
immigrant	0.0605359
agency	0.060534
"wage earner"	0.0604773
pensioner	0.0603356
tourist	0.0599967
"card holder"	0.0598976
Beijingers	0.0598968
professional	0.0596674
gambler	0.0596409
bidder	0.059593
Californian	0.0595266
pupil	0.0595141
"New Yorker"	0.059463
HMO	0.0594569
youngster	0.0594016
"business traveler"	0.0592688
doctor	0.0591851
"trading partner"	0.0591509
regulator	0.0590692
"job seeker"	0.0589994
multinationals	0.0588864
student-athletes	0.0588666
criminal	0.0588048
"balance sheet"	0.0585246
bond	0.0584629
violator	0.0584531
sufferer	0.0584263
"African country"	0.0582887
repayment	0.0582819
portfolio	0.0582292
refiner	0.0581943
issuer	0.0581939
Mexican	0.0580928
"civil servant"	0.0578897
corporates	0.0577274
"federal government"	0.0577007
job-seekers	0.0576971
filmmakers	0.0576434
polluters	0.057534
"insurance firm"	0.0573012
litigant	0.0572058
teens	0.0570982
"credit card"	0.0569965
laborer	0.0567703
inmate	0.0567626
migrant	0.0566687
IMF	0.0566548
"Harvard Pilgrim"	0.0565664
landlord	0.0565522
patron	0.0564165
teacher	0.0563756
commuter	0.0563192
Reader	0.0562786
"real estate developer"	0.0562625
partner	0.0562599
adult	0.0562525
viewer	0.0560452
cooperative	0.0559585
constituent	0.0559485
competitor	0.0558993
"union member"	0.0558442
contributor	0.0557685
))
(borrowing (desc 33515.1) (sims
lending	0.209474
loan	0.170997
debt	0.161892
spending	0.156104
financing	0.148796
expenditure	0.141538
inflow	0.134047
deposit	0.128874
"budget deficit"	0.127096
investment	0.125845
buying	0.117376
"borrowing cost"	0.116895
"bond issue"	0.116322
saving	0.115696
payment	0.113794
"interest rate"	0.113562
"money supply"	0.112845
"bank deposit"	0.11207
"tax revenue"	0.112004
liquidity	0.11155
mortgage	0.111347
revenue	0.110601
fund	0.109259
funding	0.108845
disbursement	0.108664
subsidy	0.108485
credit	0.10732
outlay	0.107028
repayment	0.10702
consumption	0.106205
"tax collection"	0.105608
deficit	0.103895
outflow	0.103613
purchase	0.102199
contribution	0.102106
income	0.101919
"consumer credit"	0.101789
surplus	0.101743
export	0.101609
import	0.10157
allocation	0.101215
earnings	0.101159
donation	0.100914
"trade deficit"	0.100248
remittance	0.0997714
"debt payment"	0.0989393
flow	0.0988971
"capital expenditure"	0.098845
bond	0.0984872
transaction	0.0976339
asset	0.0973366
"foreign exchange"	0.0961813
sale	0.0951125
tax	0.0940797
inflation	0.0934611
"property tax"	0.0929803
"interest payment"	0.092843
profit	0.0921234
"labor cost"	0.0919402
selling	0.0918235
"retail sale"	0.0915158
overdraft	0.0912315
"inflation rate"	0.0909721
"Treasury bill"	0.0909409
indebtedness	0.0906271
money	0.0905077
"oil production"	0.0902333
fee	0.0897192
growth	0.0895508
emission	0.089246
employment	0.0890339
assistance	0.0889244
demand	0.0887345
equity	0.0869074
taxation	0.0866631
NPLs	0.0866313
servicing	0.0865937
cost	0.0864162
"personal income"	0.0864086
"credit line"	0.0862745
receipt	0.0862448
trading	0.0856787
"trade surplus"	0.0843956
bailout	0.0841613
"line of credit"	0.0834872
productivity	0.0834505
"capital gain"	0.0833659
volatility	0.0833601
"income tax"	0.0829643
unemployment	0.0827577
"consumer demand"	0.0826886
"interest income"	0.0825526
"mortgage rate"	0.0824109
reserve	0.0823935
usage	0.0820345
liability	0.0817839
exposure	0.0816296
"defense budget"	0.0812263
"bank rate"	0.0811713
appropriation	0.0810696
"operating cost"	0.0809124
depreciation	0.0808376
rate	0.079878
"financial aid"	0.0798354
layoff	0.0797307
"medicare payment"	0.0797245
wage	0.0796709
"factory order"	0.0796588
"oil price"	0.0795107
issuance	0.0793388
reimbursement	0.0791238
"insurance premium"	0.0788195
Privatization	0.0787228
borrower	0.0786738
ownership	0.0785175
recapitalization	0.0783449
activity	0.0783421
budget	0.0782512
"price increase"	0.0782384
Advertising	0.0781043
holding	0.0779399
"operating expenses"	0.0778889
expansion	0.0777639
rebate	0.0775565
"production cost"	0.0774806
hiring	0.0774149
"amount of money"	0.0773812
shipment	0.0770128
retrenchment	0.0766054
reduction	0.0764974
"home sale"	0.0763714
capitalization	0.0760399
output	0.0759291
participation	0.0758016
"tax increase"	0.0753384
"earnings growth"	0.075107
"business activity"	0.0750076
"bad debt"	0.0748897
GDP	0.0746749
incentive	0.0745831
production	0.0744969
"debt service"	0.0744155
"growth rate"	0.0743462
insurance	0.0742835
"unemployment rate"	0.0739891
dividend	0.0738585
aid	0.0738508
amount	0.0737481
"time deposit"	0.0736925
enrollment	0.073411
logging	0.0731948
"tax cut"	0.0729577
giving	0.0724098
pension	0.0724067
profitability	0.072241
transfer	0.0721629
price	0.0719312
"tax incentive"	0.0718515
"export credit"	0.0718456
dollar	0.0718369
immigration	0.0717418
"sales tax"	0.0717131
utilization	0.0714811
"balance of payments"	0.071361
cutback	0.0712959
input	0.0711762
inventory	0.071118
"credit card"	0.0710382
"tax break"	0.0708476
intervention	0.0708015
supply	0.0705054
"Treasury bond"	0.070474
"gross national product"	0.0704608
"capital investments"	0.0704427
tariff	0.0703068
"rate of inflation"	0.0702677
ratio	0.0699674
expense	0.0697088
sales	0.0696993
shortfall	0.0693505
yield	0.0693116
"revenue growth"	0.0692041
proceeds	0.0691823
"debt load"	0.0689359
"venture capital"	0.0689188
shareholding	0.0689148
"employment growth"	0.0688758
"gross domestic product"	0.068682
"net income"	0.0686026
booking	0.0684006
currency	0.0683448
procurement	0.0682661
distribution	0.068066
resource	0.0679199
payroll	0.0677282
"capital gains tax"	0.0675918
"earning per share"	0.0675499
bankruptcy	0.0675196
"funds rate"	0.0674396
"working capital"	0.0673676
))
("borrowing cost" (desc 3371.27) (sims
"bank rate"	0.185145
"insurance premium"	0.165553
"gasoline tax"	0.160497
"mortgage rate"	0.153779
"production cost"	0.152496
"labor cost"	0.150154
"operating cost"	0.146864
"tax rate"	0.142611
"take-home pay"	0.141413
"selling price"	0.140956
"key rate"	0.139848
"gas price"	0.131705
"capital gains tax"	0.131539
"discount rate"	0.131075
"operating expenses"	0.130825
caseloads	0.130807
"funds rate"	0.129146
"marketing cost"	0.128342
"cost of living"	0.127739
"interest expense"	0.121543
borrowing	0.116895
"body temperature"	0.116284
"truck sale"	0.116128
"production ceiling"	0.113597
"consumption tax"	0.113397
"medicare payment"	0.110912
"standard of living"	0.108293
"interest rate"	0.107156
"property tax"	0.106794
"cost structure"	0.106652
"pay rate"	0.105002
"crime rate"	0.104939
"tax liability"	0.104762
"phone bill"	0.104581
"bond price"	0.104569
"credit rating"	0.103519
TAXES	0.103111
"personal income"	0.101725
"excise tax"	0.100154
"profit margin"	0.0987806
"defense budget"	0.0972333
"tax income"	0.0964119
"retail price"	0.0962612
"debt load"	0.0950806
profitability	0.0949169
"capital expenditure"	0.0948948
"retirement benefit"	0.094667
"electric bill"	0.0938214
"bankruptcy filing"	0.0937946
"import duty"	0.093527
"oil price"	0.0934501
"Producer Price Index"	0.0931022
"noise level"	0.0921452
Fares	0.0917445
"tax collection"	0.0907068
"bond rating"	0.090634
"mortality rate"	0.0900398
liquidity	0.0897602
"life expectancy"	0.089044
"blood pressure"	0.0888538
"heart rate"	0.0886098
"consumer demand"	0.0868118
birthrate	0.0864912
"blood sugar"	0.0864641
"tax revenue"	0.0859142
"service charge"	0.0856254
"rate of growth"	0.0852687
incidence	0.0848194
"growth prospect"	0.0846397
"poverty rate"	0.0844355
"purchase price"	0.0841429
outlay	0.083466
"housing sale"	0.0834388
"price pressure"	0.0832058
"market penetration"	0.0831561
productivity	0.0825246
indebtedness	0.0820806
threshhold	0.0808471
"retirement age"	0.0805146
salinity	0.0804857
"birth rate"	0.0804816
"producer price"	0.0802702
"oil production"	0.0802213
"fertility rate"	0.0798226
homeownership	0.0797064
"bus fare"	0.0787369
"income tax"	0.0783834
HDL	0.0780763
"tax bill"	0.0778743
"interest income"	0.0777416
"water table"	0.0773897
workload	0.0764441
"admission price"	0.0764421
"export sale"	0.0764105
unemployment	0.0763562
"tax bracket"	0.0761935
"inflation rate"	0.0760372
enrolment	0.0760079
ridership	0.0757494
"occupancy rate"	0.0753445
"earning per share"	0.0748359
voltage	0.0744577
"value-added tax"	0.0743499
"telephone bill"	0.0739216
reimbursement	0.0735768
"death rate"	0.073374
headcount	0.0726817
"air pressure"	0.0724281
CPI	0.07222
"test score"	0.0721597
"order book"	0.072035
joblessness	0.0717231
premium	0.0715215
overdraft	0.0713492
"tax base"	0.0712827
"rate of inflation"	0.0712781
lending	0.0710754
"money supply"	0.0707576
"tax incentive"	0.0707283
"Social Security benefit"	0.0704439
"business line"	0.0704143
"budget deficit"	0.07035
"sticker price"	0.0697582
airfare	0.0694449
payouts	0.0694409
"shareholder value"	0.0694106
payroll	0.0692337
"transfer payment"	0.0691054
"market share"	0.0689541
Tuition	0.0688155
intake	0.0688079
"consumer price index"	0.0683541
"user fee"	0.067947
NPLs	0.0679309
C-section	0.0677525
"interest payment"	0.0673924
"entrance fee"	0.0671785
"pretax profit"	0.0669844
"unemployment rate"	0.0668125
p/e	0.0667203
receivables	0.0665523
cholesterol	0.0663605
"working capital"	0.0663488
"turnover rate"	0.0662095
delinquency	0.0655697
co-payments	0.0654092
"speed limit"	0.0653146
"customs duty"	0.0652783
"asset value"	0.065242
"vehicle sale"	0.0650655
"investor confidence"	0.0650618
density	0.0649138
valuation	0.0649026
competitiveness	0.0648145
caseload	0.0648014
"Official Development Assistance"	0.0647606
viewership	0.0646652
"steel production"	0.0646367
volatility	0.0646138
absenteeism	0.0646044
"dollar amount"	0.0644205
"Monetary Policy Committee"	0.0641783
inflow	0.0640059
"national income"	0.0635739
"quality of life"	0.0634692
"sales tax"	0.063111
"value added tax"	0.0630037
"incentive plan"	0.0627186
enrollment	0.0626367
"price support"	0.0625349
"capital gain"	0.0622507
"inheritance tax"	0.062246
fertility	0.0620835
usage	0.0618277
"management fee"	0.0617807
"seating capacity"	0.0617115
"consumer credit"	0.0616292
"wholesale price index"	0.0616191
"home sale"	0.0615426
testosterone	0.0615138
"estate tax"	0.0614844
"earnings growth"	0.0613632
horsepower	0.0609846
"disability payment"	0.0609507
tariff	0.0608706
likelihood	0.0604049
mortality	0.0603635
deductibility	0.0602033
"benefit program"	0.0601098
"deficit spending"	0.0600222
"bond offering"	0.0598753
self-esteem	0.0598608
"red tape"	0.0598513
deductibles	0.0597066
spokespeople	0.0596933
"purchasing agent"	0.059542
"relative humidity"	0.0593778
"net income"	0.0592518
emission	0.0591543
prevalence	0.0589874
))
("Borussia Dortmund" (desc 7235.31) (sims
"Werder Bremen"	0.246424
"Bayern Munich"	0.234305
"Bayer Leverkusen"	0.223927
Kaiserslautern	0.217967
"Hertha Berlin"	0.212621
"Schalke @@"	0.210383
"VfB Stuttgart"	0.207833
Schalke	0.201356
"Borussia Moenchengladbach"	0.189044
Anderlecht	0.181277
Leverkusen	0.176442
"VfL Wolfsburg"	0.175525
"Ajax Amsterdam"	0.173918
"PSV Eindhoven"	0.170507
"Rainer Schuttler"	0.168419
"Jubilo Iwata"	0.168387
"Real Madrid"	0.168235
Brondby	0.165514
"Dynamo Kiev"	0.165124
Juventus	0.161446
Feyenoord	0.158575
Fiorentina	0.156699
Benfica	0.156171
"Olympique Marseille"	0.155392
Gremio	0.15167
Galatasaray	0.150648
"Inter Milan"	0.148588
"Martin Schmitt"	0.146349
Ajax	0.145181
"Velez Sarsfield"	0.143768
Rosenborg	0.14353
"Paris St Germain"	0.142665
"AC Milan"	0.142471
Freiburg	0.141111
Dortmund	0.138533
Fenerbahce	0.137922
Olympiakos	0.137094
Necaxa	0.137037
"Sandra Voelker"	0.1357
"Kinder Bologna"	0.13466
Duisburg	0.134655
Besiktas	0.134244
"Shanghai Shenhua"	0.133893
"Tommy Haas"	0.133316
"Michael Stich"	0.131672
Palmeiras	0.129776
Sampdoria	0.129612
"Anke Huber"	0.128977
Porto	0.127362
Panathinaikos	0.12735
Independiente	0.127335
"Heike Drechsler"	0.1264
"Dalian Wanda"	0.124655
Bayern	0.123912
corinthian	0.123693
"Spartak Moscow"	0.123638
Udinese	0.123353
"Colo Colo"	0.122816
"Atletico Madrid"	0.122207
"Nicolas Kiefer"	0.121969
Bastia	0.12128
"Partizan Belgrade"	0.120909
"Manchester United"	0.120601
Napoli	0.120537
Barcelona	0.120377
"River Plate"	0.119931
Parma	0.119651
"Newcastle United"	0.118859
"Boris Becker"	0.117933
"Athletic Bilbao"	0.117635
Betis	0.117568
"Real Sociedad"	0.117459
"Gunda Niemann-Stirnemann"	0.117283
Valencia	0.116665
"Katja Seizinger"	0.116026
"David Prinosil"	0.115923
"Barbara Rittner"	0.115737
Auxerre	0.115578
Espanyol	0.115352
"Sturm Graz"	0.11483
Cruzeiro	0.11478
Nacional	0.114466
"FC Barcelona"	0.114406
Penarol	0.114244
"Steffi Graf"	0.114107
"FC Porto"	0.114064
"San Lorenzo"	0.113758
"Hilde Gerg"	0.113694
"Celta Vigo"	0.113263
"Boca Juniors"	0.113058
"Chicago Fire"	0.112989
Zamalek	0.11277
"Amy Frazier"	0.112736
"Real Betis"	0.108362
Dosedel	0.107732
Liverpool	0.107435
"D.C. United"	0.106905
"Jennifer Capriati"	0.106376
Heerenveen	0.106358
"Martina Ertl"	0.105779
Cagliari	0.105373
Monaco	0.10528
"Aston Villa"	0.105153
Internazionale	0.104596
"Patty Schnyder"	0.10454
"Arnaud Di Pasquale"	0.104476
Munich	0.104375
Fulham	0.103994
Stuttgart	0.103968
"Croatia Zagreb"	0.103793
"Zoran Primorac"	0.103496
"Glasgow Rangers"	0.103348
"Iva Majoli"	0.103175
"Tottenham Hotspur"	0.103126
Bari	0.102919
Wolfsburg	0.102814
"Richard Krajicek"	0.102564
"Thomas Muster"	0.102487
Rostock	0.102195
"Slavia Prague"	0.101638
"Albert Costa"	0.101636
Chelsea	0.101436
"Deportivo Coruna"	0.101338
"Magnus Gustafsson"	0.101244
"Michael Chang"	0.101052
"Carlos Moya"	0.101007
Piacenza	0.100194
Tottenham	0.0997334
"Elena Likhovtseva"	0.099468
"Paola Suarez"	0.0992341
"Magdalena Maleeva"	0.0990128
"Conchita Martinez"	0.0987163
"Arantxa Sanchez-Vicario"	0.0986236
Spartak	0.0981096
Gama	0.097765
Valladolid	0.0976554
Tenerife	0.097565
"Fabrice Santoro"	0.0975021
"Nottingham Forest"	0.0974149
Metz	0.0969344
Middlesbrough	0.0968967
"Sergi Bruguera"	0.0967883
Flamengo	0.0965909
Venezia	0.0963772
Everton	0.0959673
Torino	0.0958299
Lecce	0.095524
"Gustavo Kuerten"	0.0955211
"Seibu Lions"	0.0950437
"Michael Schumacher"	0.0948444
Inter	0.0944605
"Kenneth Carlsen"	0.0943849
"AEK Athens"	0.0942725
Perugia	0.0932737
"Red Star"	0.0932667
"Albert Portas"	0.0931389
"Leeds United"	0.0928304
"Moses Tanui"	0.0927687
Lazio	0.0922038
"West Ham United"	0.0921025
"Barbara Schwartz"	0.0920817
"Houston Comets"	0.091988
Atletico	0.0919732
"Petr Korda"	0.0913346
"Christian Ruud"	0.0909764
"Mariano Puerta"	0.0909105
"Marc Rosset"	0.0908508
"Richard Fromberg"	0.0907286
Leeds	0.090727
"Franco Squillari"	0.0907178
"Sargis Sargsian"	0.0906342
"Jonathan Stark"	0.0905175
"Wayne Ferreira"	0.0903005
"Coventry City"	0.0901998
"Heryanto Arbi"	0.0901123
"Mikael Tillstrom"	0.0897467
Bruguera	0.089564
Watford	0.0895406
"Karim Alami"	0.0895311
"Arantxa Sanchez Vicario"	0.089488
"Nicolas Escude"	0.0893884
Obilic	0.0889925
Olimpia	0.0889249
"Olympiakos Piraeus"	0.0888025
"Sebastien Grosjean"	0.0886669
"Sabine Appelmans"	0.0882481
"Barbara Schett"	0.0878716
"Ai Sugiyama"	0.0876603
"Roger Federer"	0.0875708
"Heinz-Harald Frentzen"	0.0871504
"Hernan Gumy"	0.0869229
"Yevgeny Kafelnikov"	0.0868793
"Eddie Cheever"	0.0868313
"Sjeng Schalken"	0.086814
"Tatiana Panova"	0.0867234
"Serena Williams"	0.0865025
"Ruxandra Dragomir"	0.0864662
Mallorca	0.0860582
"Andrei Medvedev"	0.0860054
Zaragoza	0.0856983
))
("Borussia Moenchengladbach" (desc 1193.35) (sims
"VfB Stuttgart"	0.342
"VfL Wolfsburg"	0.314503
"Werder Bremen"	0.266579
Schalke	0.249671
"Hertha Berlin"	0.213493
"Bayer Leverkusen"	0.209883
Kaiserslautern	0.200813
Salernitana	0.192574
Wolfsburg	0.19123
"Borussia Dortmund"	0.189044
"Olympique Marseille"	0.175552
Duisburg	0.167387
"Schalke @@"	0.16657
Espanyol	0.165366
Freiburg	0.164488
Brondby	0.156222
Bastia	0.155908
Auxerre	0.153403
"Bayern Munich"	0.152983
Nuremberg	0.143004
"Rainer Schuttler"	0.142575
"Barbara Rittner"	0.142283
"Athletic Bilbao"	0.142214
Besiktas	0.142046
"Paris St Germain"	0.141705
"PSV Eindhoven"	0.141632
Fenerbahce	0.141479
"Real Betis"	0.141157
Rostock	0.140813
"Blackburn Rovers"	0.140286
Flamengo	0.139841
Torino	0.139797
Leverkusen	0.139273
"Atletico Madrid"	0.136029
Metz	0.135995
"Celta Vigo"	0.135159
Gremio	0.134565
"Nottingham Forest"	0.133954
Anderlecht	0.133387
Independiente	0.130503
Watford	0.130383
Zamalek	0.130084
Karlsruhe	0.128378
Betis	0.128341
Olimpia	0.127411
Venezia	0.12585
"Slavia Prague"	0.124653
Udinese	0.124166
Necaxa	0.123515
"Velez Sarsfield"	0.122306
"Newcastle United"	0.120588
Penarol	0.120575
"Chinese Army"	0.120132
Valladolid	0.119251
"San Lorenzo"	0.119007
"Red Star"	0.117354
Cagliari	0.11727
"Real Sociedad"	0.115691
Tenerife	0.115605
Benfica	0.112526
"Boca Juniors"	0.112201
Parma	0.112143
Heerenveen	0.111878
Galatasaray	0.110872
"Coventry City"	0.110527
"Ajax Amsterdam"	0.109818
Obilic	0.108523
Dortmund	0.108225
"Colo Colo"	0.106703
"Sparta Prague"	0.106179
"Crystal Palace"	0.105826
Perugia	0.1053
"Leicester City"	0.105268
Feyenoord	0.104557
"Ralf Schumacher"	0.104034
Alaves	0.103057
"David Prinosil"	0.10262
Sampdoria	0.101671
"Nicolas Kiefer"	0.101213
"FC Porto"	0.101113
"Michael Stich"	0.100961
Bayern	0.100902
Stuttgart	0.100789
"Inter Milan"	0.100217
Maribor	0.100209
"Kinder Bologna"	0.0998526
"Partizan Belgrade"	0.0986495
"River Plate"	0.0982693
Piacenza	0.0981952
Nacional	0.0971046
Fiorentina	0.0963689
Rosenborg	0.0962194
"Anke Huber"	0.0959626
Empoli	0.0954921
"Derby County"	0.0951443
Ajax	0.0949654
Charlton	0.0948684
"AC Milan"	0.0944663
corinthian	0.0938482
Extremadura	0.0932365
"Gunda Niemann-Stirnemann"	0.0931932
"Martin Schmitt"	0.092889
"Claudia Pechstein"	0.0928196
Bundesliga	0.0921277
Sevilla	0.0919572
"Sturm Graz"	0.0914579
"Dynamo Kiev"	0.0913012
"Albert Portas"	0.091131
Palmeiras	0.0909421
Dusseldorf	0.090644
"Barbara Schwartz"	0.0902159
"Heike Drechsler"	0.0896551
Essen	0.0896403
"Glasgow Rangers"	0.0895276
Internazionale	0.0894513
"Tommy Haas"	0.0893309
"AC Parma"	0.088468
Lecce	0.0880909
Blackburn	0.087177
Mannheim	0.0871497
Andorra	0.0871073
Valencia	0.0869186
"Qingdao Hainiu"	0.0868819
"Joannette Kruger"	0.0864171
"Jinan Taishan"	0.086417
Montpellier	0.0860229
Cruzeiro	0.0858896
"Sichuan Quanxing"	0.0855253
"Deportivo Coruna"	0.0850725
"AEK Athens"	0.0850285
Munich	0.0840814
"Leeds United"	0.0833287
Monaco	0.0831685
"Olympiakos Piraeus"	0.0831566
Southampton	0.0831542
Rennes	0.0822039
"Paola Suarez"	0.0812399
Olympiakos	0.0811566
Middlesbrough	0.0810493
Aachen	0.0809598
Everton	0.0808035
Heidelberg	0.0802048
Sunderland	0.0799927
"Croatia Zagreb"	0.0799766
"Hilde Gerg"	0.0798923
Fulham	0.0794275
Habsudova	0.079383
Hamburg	0.0793781
Coventry	0.0790383
Porto	0.078955
Bari	0.0784498
Estudiantes	0.0783255
"Galo Blanco"	0.078165
Napoli	0.077647
Crewe	0.0775693
Atletico	0.0769379
"Jubilo Iwata"	0.0769019
"Arnaud Di Pasquale"	0.0767097
"Renzo Furlan"	0.0765262
"Nicole Pratt"	0.0764427
Zaragoza	0.0763437
Caen	0.0762005
Atalanta	0.0761199
"Dalian Wanda"	0.0759985
Hongyuan	0.0759759
"Tatiana Panova"	0.0758439
Tottenham	0.0758081
"Patty Schnyder"	0.0751612
Celta	0.074713
Panathinaikos	0.0745526
"Mikael Tillstrom"	0.0745426
"Anne Kremer"	0.0744145
Gothenburg	0.0743765
Spartak	0.0742922
"Tottenham Hotspur"	0.0741457
"Hernan Gumy"	0.0741124
"West Ham"	0.0739904
Vitoria	0.0739862
"Boris Becker"	0.0738366
"Bradford City"	0.0732283
"Elena Likhovtseva"	0.0732221
"Spartak Moscow"	0.0731165
"Franco Squillari"	0.0725694
Bologna	0.0723632
Dosedel	0.0721967
Liverpool	0.0721404
"Aston Villa"	0.0719716
"Magui Serna"	0.0716959
"West Ham United"	0.0716076
Salamanca	0.0715783
"Filip Dewulf"	0.0714244
"Katja Seizinger"	0.0712941
"Sandra Voelker"	0.0710526
"Real Madrid"	0.0709745
"Adrian Voinea"	0.0708566
"Karim Alami"	0.0707178
"Cedric Pioline"	0.0706959
"Jerome Golmard"	0.0706362
"Christian Ruud"	0.0705706
"Guy Forget"	0.07045
))
(Bos (desc 63880.9) (sims
boss	0.1354
manager	0.099972
coach	0.0965648
friend	0.0885149
co-worker	0.0873896
owner	0.0858794
executive	0.0853527
father	0.0852672
colleague	0.0851588
President	0.0840834
husband	0.0804256
supervisor	0.0800293
chief	0.0784398
"general manager"	0.0781808
him	0.0776205
leader	0.0773234
"vice president"	0.0763244
girlfriend	0.07624
mentor	0.0762037
officer	0.0759988
Governor	0.0759607
Mayor	0.0757403
chairman	0.0750548
brother	0.0748545
director	0.0747078
someone	0.0738993
mother	0.0736941
dad	0.073682
Attorney	0.0736566
wife	0.073651
official	0.0728551
teacher	0.0725792
man	0.0723019
mobster	0.0719565
employee	0.0713752
lawyer	0.070758
client	0.0703397
captain	0.0702523
member	0.0699764
assistant	0.0698718
superior	0.0698155
parent	0.0695599
"chief executive"	0.0682745
guy	0.0680407
editor	0.0679698
teammate	0.0679243
aide	0.0678049
me	0.0671868
Carroll	0.066962
employer	0.0668876
doctor	0.0664744
Clinton	0.0661454
commander	0.0660918
agent	0.0658927
CEO	0.0658278
senator	0.0647778
commissioner	0.0643773
anyone	0.0642993
prosecutor	0.0642322
fan	0.0640792
buddy	0.06343
neighbor	0.0634078
boyfriend	0.0630721
judge	0.0628831
family	0.0627156
associate	0.0626905
secretary	0.0624102
mom	0.0621549
player	0.0619718
administrator	0.0619203
Cop	0.0615575
partner	0.0615124
anybody	0.0613206
politician	0.0611263
son	0.0605911
minister	0.0603158
somebody	0.060228
sister	0.0600961
"first lady"	0.0600839
smith	0.059749
roommate	0.0596497
physician	0.0594603
her	0.0590845
classmate	0.0588276
legislator	0.0587555
cousin	0.0584848
"staff member"	0.058433
"police officer"	0.058155
General	0.0580414
you	0.0580245
staffer	0.0579377
person	0.0579197
opponent	0.0578864
Chancellor	0.0578257
daughter	0.0577911
adviser	0.0577274
"best friend"	0.0571538
constituent	0.057092
pope	0.0569246
staff	0.0568349
publisher	0.056703
them	0.0564402
"family member"	0.0564248
Republican	0.0563743
Parcells	0.0562899
representative	0.05628
superintendent	0.0562335
subordinate	0.0561775
umpire	0.0560748
king	0.0560479
Speaker	0.0559156
businessman	0.0558916
defendant	0.0558531
clerk	0.0557957
acquaintance	0.0557888
folk	0.0557407
Lord	0.0557175
deputy	0.0556525
God	0.0556099
himself	0.0554483
spouse	0.0554177
patron	0.0552583
counselor	0.0550625
Bush	0.0550366
scout	0.054971
"secretary of state"	0.0548805
Yeltsin	0.0547136
everyone	0.0547004
Reader	0.0545828
supporter	0.0545105
companion	0.0544278
journalist	0.0544236
lawmaker	0.0541881
trustee	0.0541725
Williams	0.054077
Johnson	0.054075
principal	0.0540557
Sheriff	0.0539726
woman	0.0539013
"chief executive officer"	0.0537596
Jones	0.0535248
murphy	0.0533604
Gates	0.0533127
everybody	0.053308
instructor	0.0533074
"board member"	0.053269
coordinator	0.0532515
stranger	0.0532304
Democrat	0.0531453
customer	0.0529926
pilot	0.0528696
kid	0.0526429
"Bill Clinton"	0.052592
ally	0.0524707
"football coach"	0.0524421
trainer	0.0524354
boy	0.0524191
gore	0.0523776
Joe	0.0523426
Congressman	0.0522903
gangster	0.0522668
candidate	0.0522116
leadership	0.0521969
police	0.0521955
suspect	0.0521664
stockbroker	0.0521501
activist	0.0519591
relative	0.0518233
reporter	0.0517799
banker	0.0517692
herself	0.0517503
Premier	0.0517393
Cisneros	0.0516839
priest	0.0515689
"chief of staff"	0.0515377
student	0.0515338
uncle	0.0515309
regulator	0.0515109
Jackson	0.0514461
Tripp	0.0514333
rabbi	0.0513723
scientist	0.0513592
ruler	0.0513318
management	0.0513047
father-in-law	0.0512643
authority	0.0512593
worker	0.0511915
"Janet Reno"	0.0511646
"each other"	0.0511644
treasurer	0.0510235
author	0.0510121
Ambassador	0.0510028
informant	0.0508729
producer	0.0508712
others	0.0506821
Phillips	0.0506118
dictator	0.0506003
accountant	0.0504949
Ex	0.0504887
guest	0.0504231
))
(Bosch (desc 2333.9) (sims
Hoogenband	0.0723511
Bloch	0.071972
Ofili	0.0712373
Broek	0.0692377
Alcatel	0.0654022
Raphael	0.0623421
Citroen	0.062161
Renoir	0.0588097
KPA	0.0582752
Linden	0.0566274
Volkswagen	0.05634
"Jackson Pollock"	0.0562663
"van Gogh"	0.0552751
ABB	0.0544838
Shipman	0.0523618
Kinkade	0.0519944
Vermeer	0.0508929
ITT	0.0505671
Stratus	0.0505363
Bonnard	0.0501708
"Mercedes Benz"	0.0499901
Kooning	0.0493757
VISTEON	0.0492275
Heade	0.0491303
Suzuki	0.0481404
Calder	0.0480004
transnationals	0.0479615
Gogh	0.0476518
Daimler-Chrysler	0.0475548
Delacroix	0.0468451
Rothko	0.046118
Einhorn	0.0460993
Blackman	0.046054
GAAF	0.0453543
Nabisco	0.0449817
Volvo	0.0449253
Nortel	0.0446717
Henson	0.0445246
Transamerica	0.0443948
Matisse	0.043574
Hester	0.0434102
Ericsson	0.0428521
Flemish	0.0428013
Navarro	0.0427989
L'Oreal	0.0427854
Edmondson	0.0427627
Kroll	0.042744
Herrera	0.0424683
"Prince of Wales"	0.0421819
Fujitsu	0.0420988
Borden	0.0416868
Gorey	0.0413392
Gaston	0.0412323
Caravaggio	0.0410331
videophone	0.0409923
Tropicana	0.0408676
Mulholland	0.0408113
Deane	0.0405261
Audi	0.0401945
Yoo	0.0401298
LVMH	0.0400833
))
(Bose (desc 2041.05) (sims
multichannel	0.125846
Walkman	0.0775375
"high frequency"	0.0638539
CellPro	0.0620157
Winthrop	0.0608682
RIAA	0.0554729
"Diamond Multimedia"	0.0544967
Pitney	0.0528815
CSC	0.0524209
infinity	0.0521996
videophone	0.0516226
Intergraph	0.0514337
Medtronic	0.0500851
"high fidelity"	0.0498327
"Food Lion"	0.049723
midrange	0.0486324
SDH	0.0486076
MCC	0.047961
Dempster	0.0477116
analog	0.047553
IDT	0.0467057
Boehner	0.0466161
RSA	0.0460039
Tevanian	0.044688
JVC	0.0445225
Kerik	0.0443364
Warnaco	0.0442706
"Promise Keepers"	0.0440614
Chiba	0.0439083
Tseng	0.0437721
"Australian Cricket Board"	0.0435352
Ruhengeri	0.0430926
Ganassi	0.0429033
IC	0.0427861
keynote	0.0421256
Goldin	0.0419317
Bragg	0.0416479
Olmsted	0.0415368
teamster	0.0412476
"Standard Chartered"	0.0412188
"Cuban Americans"	0.0410052
"space age"	0.0407289
"high fashion"	0.0403039
Mini-bus	0.0402281
))
(Bosman (desc 911.141) (sims
"US Supreme Court"	0.260214
"Supreme Judicial Court"	0.21138
SJC	0.200685
NLRB	0.167694
"World Court"	0.137886
"National Court"	0.137753
disbarment	0.134808
"U.S. Immigration and Naturalization Service"	0.117706
USATF	0.116379
"Parades Commission"	0.116198
singleton	0.115263
"appellate court"	0.113072
"lower court"	0.108866
ITC	0.104954
Baer	0.104718
Miranda	0.104259
Das	0.10368
"Circuit Court"	0.103485
Sithole	0.101429
"Court of Appeal"	0.101206
"Texas Supreme Court"	0.100141
Feerick	0.0953116
Svorada	0.0945617
"U.S. Supreme Court"	0.0929607
"Appellate Division"	0.0903369
Kavan	0.0900933
"Breda Kolff"	0.0898107
Lehane	0.0884038
Scruggs	0.087601
federalism	0.0868651
"state supreme court"	0.0854771
"eminent domain"	0.0844548
"line item"	0.0839662
FOMC	0.0826623
Karlsson	0.0825499
"Israeli Cabinet"	0.0825215
"Interior Department"	0.0814529
Schaffer	0.080665
desegregation	0.0795158
Birnbaum	0.0793035
Clinton-Lewinsky	0.0789433
Hlavac	0.0784402
Roe	0.0781486
"contempt of court"	0.0777499
"European Court of Human Rights"	0.077461
Buckley	0.0762335
O'Sullivan	0.0747412
Gangelhoff	0.0738831
"Steve Campbell"	0.0730907
Triplett	0.0729996
"Law Lords"	0.0725044
"Constitutional Court"	0.0723893
Korman	0.0722813
"Consultative Group"	0.0717306
Arens	0.0715379
Helms-Burton	0.0709032
Lamberth	0.0703631
"House of Lords"	0.0692986
EEOC	0.0690529
PUC	0.0686663
Mundo	0.0686127
PDI-P	0.0685012
Eyadema	0.0682188
Symington	0.0678022
Zelezny	0.0670085
"Title IX"	0.0668296
Valeo	0.0648576
"Immigration and Naturalization Service"	0.064482
"Bank Bali"	0.0640327
"European Court of Justice"	0.0639015
Rosenberg	0.0638307
PASOK	0.0637917
CWC	0.0635125
"Franz Beckenbauer"	0.0635034
RNC	0.0628477
NRM	0.062556
Larsson	0.0625049
"Public Service Commission"	0.0621695
FEC	0.0621126
Jarvis	0.0620147
Rosen	0.0619687
Ruthardt	0.0617236
Garza	0.0616695
Banda	0.0616614
O'Brien's	0.0614491
Wiggins	0.0612256
PSC	0.0611358
"District Court"	0.0610121
"U.N. Security Council Resolution @@@"	0.0609146
FIA	0.0608869
Nickerson	0.060815
Schlichtmann	0.0607066
"trial court"	0.0604624
PNC	0.059379
Cummings	0.0591771
Inman	0.059125
"legal code"	0.0587055
one-point	0.058542
Ruehe	0.0583277
Hickman	0.057986
"Family Court"	0.0579183
Okada	0.0578924
"Nevada Athletic Commission"	0.0577737
Britannia	0.0576572
Springbok	0.0576549
twenty-eight	0.0575873
Spiegel	0.0575567
Lieber	0.0570905
Karimov	0.0570689
Robison	0.0570039
Pryor	0.056884
Manbar	0.056492
Horton	0.0564087
Sharia	0.0563989
Briere	0.0559201
OSHA	0.0558351
v.	0.0558067
"more than @.@@ million"	0.0557803
Nicol	0.0557734
Dreyfus	0.0556719
BOI	0.0556014
FINA	0.0555903
MENA	0.0554655
Quill	0.0553484
Paxson	0.0553251
MPLA	0.0551129
"Indonesian Democratic Party"	0.0551073
Iran-contra	0.0549692
Rushdie	0.0547397
"National Labor Relations Board"	0.0546845
Ramsey	0.0545887
Willard	0.0545762
PCC	0.0544657
Thirty-three	0.0543871
Mokhehle	0.0543172
Hakeem	0.054241
Desmond	0.0542282
PBSI	0.0540551
McKenna	0.0538021
Kroslak	0.0535223
FRELIMO	0.0534801
Hinckley	0.0534427
"State Farm"	0.0533412
"U.S. Commerce Department"	0.0532049
Skiles	0.0532034
high-stakes	0.053203
arbitrator	0.0529754
Davidian	0.052956
Sheehan	0.0528756
Henley	0.0528684
Naomi	0.0528265
T.J	0.0524897
"New Korea Party"	0.052181
Clements	0.0521182
Arnault	0.0520775
Talebi	0.0517753
"Reggie Lewis"	0.0516629
Ashrawi	0.0515954
CEC	0.0515422
Valletta	0.0514521
Menendez	0.0514248
"Independent National Electoral Commission"	0.0513772
Murrell	0.051371
Kaunda	0.0512743
Ickes	0.0512431
eight-point	0.0512182
Bartholomew	0.0511567
"Pan Pacific"	0.0511311
Seizinger	0.0511218
"talent agent"	0.050904
Mendez	0.0508849
"Ethics Commission"	0.0507947
"Yukio Hatoyama"	0.0505665
"census taker"	0.0505368
Sher	0.0504472
"legal principle"	0.0504073
smallholder	0.0502761
Sobel	0.0501761
Ely	0.0501588
Berenson	0.0500378
"ethics committee"	0.0499729
Kanu	0.0499726
Hendry	0.0499471
Kearin	0.0498761
"Lesotho Congress"	0.0498121
"Barisan Nasional"	0.0497815
Mehta	0.0497753
Kasoulides	0.0497581
Brunner	0.0497033
whomever	0.0494003
forfeiture	0.0492326
"electric current"	0.0492082
"Jerusalem Committee"	0.0491014
Bonner	0.0490688
bombshell	0.048817
Garrity	0.0486768
"four lines"	0.0486287
Spector	0.048579
hodgson	0.0484672
Shu	0.0484052
))
(Bosnia (desc 98086.7) (sims
Bosnia-Herzegovina	0.232854
Kosovo	0.230776
Yugoslavia	0.193632
Macedonia	0.190666
Albania	0.186098
Balkans	0.185993
"Sierra Leone"	0.183775
"East Timor"	0.1709
Congo	0.166917
Chechnya	0.164097
Liberia	0.164028
Afghanistan	0.160241
Angola	0.157877
DRC	0.155604
Lebanon	0.153996
Somalia	0.152337
Zaire	0.150357
Croatia	0.147687
Serbia	0.146024
Burundi	0.144189
Haiti	0.14207
Rwanda	0.142031
Republic	0.137002
Cambodia	0.13631
Iraq	0.135823
Sudan	0.135369
Montenegro	0.131412
Cyprus	0.131053
Sarajevo	0.123853
"Democratic Republic of the Congo"	0.123307
"Middle East"	0.122704
"Northern Ireland"	0.122488
region	0.122397
Algeria	0.120058
Tajikistan	0.1188
Colombia	0.118086
Bulgaria	0.11688
Vietnam	0.116665
Mozambique	0.116605
province	0.115865
Hungary	0.114604
Africa	0.114462
country	0.112311
Russia	0.111832
Kuwait	0.11134
"African country"	0.110384
"Democratic Republic of Congo"	0.110087
Ukraine	0.109901
Romania	0.1094
Ethiopia	0.109076
Kashmir	0.108819
Poland	0.108807
Uganda	0.10877
Turkey	0.10808
"African nation"	0.10664
Greece	0.106093
Slovenia	0.105673
BELGRADE	0.104852
"Persian Gulf"	0.104823
Nigeria	0.104457
Iran	0.104031
"Federal Republic"	0.102498
Nicaragua	0.102343
Egypt	0.10189
Europe	0.101438
China	0.101331
Israel	0.101232
Armenia	0.101181
Indonesia	0.101152
"Saudi Arabia"	0.101082
Tanzania	0.100608
Bangladesh	0.1006
Namibia	0.100575
"South Africa"	0.100279
Moldova	0.0995501
Mostar	0.0994814
Lithuania	0.0990123
Korea	0.0979112
Kenya	0.097829
Zambia	0.0975884
"Balkan country"	0.0974077
territory	0.0969824
Guinea-Bissau	0.0961434
Pakistan	0.095985
Guatemala	0.0958179
Libya	0.0951709
Peru	0.0951499
Zimbabwe	0.0950746
Lesotho	0.0950196
Taiwan	0.0941153
"Democratic Republic"	0.0938174
Mexico	0.093297
Honduras	0.092929
India	0.0927211
Cuba	0.0924952
Estonia	0.0922638
Yemen	0.0922532
Belarus	0.0920712
Panama	0.0920617
Germany	0.0911824
Ireland	0.0900757
Italy	0.0898957
Latvia	0.0896938
Pristina	0.0896704
"El Salvador"	0.0894777
Austria	0.0892159
"Sri Lanka"	0.0890453
Dagestan	0.0889277
Slovakia	0.0882845
Eritrea	0.0881049
France	0.0880826
"Republika Srpska"	0.0878093
Abkhazia	0.0875013
"North Korea"	0.0872944
"Central America"	0.0870459
Laos	0.0870132
"South Korea"	0.0863212
Syria	0.0860766
"United States"	0.0859084
Palestine	0.0857328
"West Bank"	0.0855903
Mindanao	0.0853537
"Guinea Bissau"	0.0848247
Venezuela	0.0847342
Azerbaijan	0.0845225
Malaysia	0.084393
Thailand	0.0843064
Kazakhstan	0.0837746
Moscow	0.0837499
Switzerland	0.083691
Nepal	0.0830332
Tibet	0.0826716
Canada	0.082362
Mitrovica	0.0822507
Philippines	0.0818865
Britain	0.0818153
"Hong Kong"	0.0814861
area	0.081467
Senegal	0.0814081
"Dominican Republic"	0.0812114
Myanmar	0.0810427
Grozny	0.080966
Ecuador	0.0806165
Comoros	0.0804804
Mongolia	0.0802662
Japan	0.079816
Portugal	0.079792
Argentina	0.0796518
Jordan	0.0795177
Malawi	0.079345
Kabul	0.0790842
Baghdad	0.0789447
Czechoslovakia	0.0787187
Bahrain	0.0784466
Gulf	0.0782914
Asia	0.0778951
Ghana	0.0773547
"Czech Republic"	0.0773396
Togo	0.0771299
Spain	0.0770508
Australia	0.076983
Georgia	0.0769094
"Republic of Congo"	0.0759243
Botswana	0.0755059
island	0.0754111
Hebron	0.0751029
Norway	0.0747599
Kyrgyzstan	0.074504
Uzbekistan	0.0742286
Caucasus	0.0736197
Finland	0.0735669
Chad	0.0734562
Tunisia	0.0733682
state	0.0732175
Malta	0.073113
"West Timor"	0.0729977
Belgium	0.0728888
"Central African Republic"	0.0724194
NATO	0.0724029
Iceland	0.0721876
homeland	0.072055
Gabon	0.0716777
Niger	0.0715934
Aceh	0.0715511
Gaza	0.0715124
Freetown	0.0714539
"Korean Peninsula"	0.0714144
Guinea	0.071151
Chile	0.07112
Morocco	0.0709024
Djibouti	0.070895
"South Lebanon"	0.0708617
Singapore	0.0707568
JERUSALEM	0.0705533
"South Asia"	0.0704777
Macao	0.0703573
Turkmenistan	0.0702825
Qatar	0.0702445
city	0.0701238
nation	0.0700823
))
(Bosnia-Herzegovina (desc 15542.4) (sims
Bosnia	0.232854
Macedonia	0.146922
Albania	0.145915
Yugoslavia	0.137089
"Sierra Leone"	0.134915
Croatia	0.13433
"Democratic Republic of the Congo"	0.131827
"Balkan country"	0.130157
Slovenia	0.128615
Angola	0.128563
Liberia	0.127812
Armenia	0.127665
Montenegro	0.124292
Somalia	0.124012
DRC	0.12273
Hungary	0.122046
"Yugoslav Republic"	0.117837
Republic	0.116898
Lithuania	0.115982
Tajikistan	0.115405
Haiti	0.114771
Bulgaria	0.114437
"Federal Republic"	0.113254
Cyprus	0.113046
"East Timor"	0.112121
Serbia	0.111531
"Republika Srpska"	0.111134
Afghanistan	0.110793
Zaire	0.110577
Moldova	0.10976
Nicaragua	0.109751
Balkans	0.109569
Burundi	0.109392
Congo	0.108462
Ukraine	0.107892
Kosovo	0.107857
Belarus	0.106884
Mozambique	0.106411
Azerbaijan	0.105689
Lesotho	0.105362
"Serbian Republic"	0.104385
"Democratic Republic"	0.103414
"Balkan state"	0.103303
Cambodia	0.102231
Sarajevo	0.101597
Poland	0.101581
Romania	0.0999643
Slovakia	0.0984553
"Bosnian Serb Republic"	0.0978703
"African country"	0.0972228
Estonia	0.0968861
Chechnya	0.0961111
Kyrgyzstan	0.0959
Colombia	0.0955502
Lebanon	0.0951103
"El Salvador"	0.095038
"Guinea Bissau"	0.0947609
Djibouti	0.0945444
Latvia	0.0938455
Uzbekistan	0.0934262
Comoros	0.0929497
Malta	0.0927278
Sudan	0.0924313
Algeria	0.0923207
"Democratic Republic of Congo"	0.0921355
"Central American country"	0.0913557
"Balkan nation"	0.0912401
Namibia	0.0908145
Yemen	0.0907146
"Czech Republic"	0.0906072
Palestine	0.0897563
Honduras	0.0894845
Greece	0.0885176
"African nation"	0.0875166
Rwanda	0.0873785
Nigeria	0.0869845
Peru	0.0865719
Abkhazia	0.0864172
Panama	0.0863727
"Persian Gulf"	0.0861878
"Sri Lanka"	0.086045
Herzegovina	0.0858978
"Serb Republic"	0.0858197
Indonesia	0.0856985
Mindanao	0.0851336
Laos	0.0850261
Ethiopia	0.0848233
Guatemala	0.0845353
Turkey	0.0844805
Egypt	0.0842512
Iceland	0.0841135
"Central African Republic"	0.0838632
Zambia	0.0836375
Zimbabwe	0.0825736
"Western Sahara"	0.0825142
Guinea-Bissau	0.0823036
Bangladesh	0.0820164
"Dominican Republic"	0.0818938
Kazakhstan	0.0817785
Kenya	0.0815423
"Saudi Arabia"	0.0811122
"Republic of Ireland"	0.0810642
Ghana	0.0808152
Mostar	0.0806783
Kuwait	0.080559
"South Africa"	0.0804853
Iraq	0.0800593
Norway	0.0799182
Nepal	0.0794377
"Ivory Coast"	0.0790762
Ecuador	0.0786936
Malawi	0.0786928
Turkmenistan	0.0785188
Austria	0.0780437
"Eastern Slavonia"	0.0777609
Finland	0.0775347
"Central America"	0.0765948
Niger	0.0763779
Mali	0.07601
Ireland	0.0759579
Senegal	0.0759269
"Papua New Guinea"	0.075916
Vietnam	0.0758446
"Republic of Congo"	0.0757776
Malaysia	0.0756692
Somaliland	0.0748008
Maldives	0.0746441
Philippines	0.0745267
Venezuela	0.0744014
Uganda	0.074369
Pakistan	0.0743086
Chad	0.0741619
"Northern Ireland"	0.074039
Portugal	0.0738918
Tunisia	0.0737187
Tanzania	0.073624
"Middle East"	0.0734755
Fiji	0.0732324
Bahrain	0.0726607
Togo	0.0726566
Qatar	0.0720374
Caucasus	0.072003
Italy	0.0718671
Iran	0.0718311
"South Korea"	0.0716722
Switzerland	0.0714032
"South Vietnam"	0.0709173
Taiwan	0.0709144
"United Kingdom"	0.0705141
Sweden	0.0702721
"Yugoslav Federation"	0.0698637
DPRK	0.0694576
"East Asia"	0.0692408
Eritrea	0.069001
Mongolia	0.0687847
Argentina	0.0683405
India	0.0683117
Burma	0.0682057
Germany	0.0681212
Brazzaville	0.0677762
"Great Lakes Region"	0.0674748
"Russian Federation"	0.0673406
Belgium	0.0672036
TIRANA	0.067188
Myanmar	0.0670547
Kazakstan	0.0670334
"West Timor"	0.0669153
"Central Africa"	0.066798
Cuba	0.0666082
Africa	0.0664977
Paraguay	0.0662389
Uruguay	0.0662304
"Costa Rica"	0.0661971
"European country"	0.066165
Libya	0.0661482
Korea	0.065979
Cameroun	0.0659198
Mauritius	0.0658682
Denmark	0.0656029
Thailand	0.0655708
"Asian nation"	0.0654956
Kingdom	0.0654836
Brunei	0.0654074
Chile	0.0653947
Benin	0.0653736
Gabon	0.065178
"North Korea"	0.0648802
Australia	0.0648319
"Slovak Republic"	0.0647874
Bolivia	0.0646266
Morocco	0.0645366
"North Caucasus"	0.0643741
Guyana	0.0642348
"Stabilization Force"	0.0640499
Madagascar	0.0640364
Jamaica	0.0635574
Jordan	0.063258
Mexico	0.063215
Dagestan	0.0632113
Canada	0.0632101
))
(Bosnian (desc 3633.4) (sims
Serbian	0.13442
Croatian	0.130288
"Implementation Force"	0.126157
"Stabilization Force"	0.101805
"Bosnian Muslim"	0.097446
Macedonian	0.0945757
"Bosnian Serb"	0.0845428
Serb	0.0809046
"Biljana Plavsic"	0.0761128
Yemeni	0.0720683
Bulgarian	0.0710967
Yugoslav	0.0696466
"Alija Izetbegovic"	0.0690563
IFOR	0.0685738
"Bosnian Muslims"	0.0684549
Senegalese	0.0633452
"Momcilo Krajisnik"	0.063343
Bosnia-Herzegovina	0.0628147
Hungarian	0.0607974
Georgian	0.0606237
"Organization for Security and Cooperation in Europe"	0.0599043
Balkan	0.0598541
Nepali	0.0556498
Turkish	0.0553053
Cypriot	0.0552794
Cameroonian	0.053555
Bamiyan	0.0531
"King Abdullah II"	0.0530076
Zairean	0.0520638
"U.N. High Commissioner for Refugees"	0.0520582
Guinean	0.0520149
Yugoslavian	0.0520048
"Sierra Leonean"	0.0518702
Slovak	0.051515
Cambodian	0.0513029
"Turkish Cypriot"	0.050881
"Milorad Dodik"	0.0502984
Korean	0.0500902
Tanzanian	0.0496332
Arkan	0.0488385
Plavsic	0.048633
Anatolia	0.0484092
Algerian	0.0483827
Sudanese	0.0482769
Rwandan	0.0475827
Kaduna	0.0474629
"Korean War"	0.0471307
"Carlos Westendorp"	0.0460795
"parliamentary democracy"	0.0460794
Jamaican	0.0459509
Vice-Foreign	0.0459177
"Patriotic Union of Kurdistan"	0.0452366
Afghan	0.0451616
"Bosnian Serbs"	0.0448595
"Radovan Karadzic"	0.0448506
"Chief Executive Tung Chee-hwa"	0.0446232
"Bosnian Croat"	0.0445486
Shevardnadze	0.0445136
"Lawton Chiles"	0.0443975
PFC	0.0443263
Laotian	0.0439656
Salvadoran	0.0438816
Natale	0.0438227
SFOR	0.0437527
"Vietnamese Communist Party"	0.043677
"Bashkim Fino"	0.0431509
"Pascoal Mocumbi"	0.0430179
"Iran-Iraq War"	0.0422887
Ohioan	0.041854
"Sri Lankan"	0.0416963
Angolan	0.0414999
Herzegovina	0.0413476
"medical student"	0.041295
"North Carolinian"	0.0412894
"Australian Olympic Committee"	0.0412856
Ghanaian	0.0412302
Ecuadorian	0.0412051
"Fatos Nano"	0.0410295
Moslem	0.0409064
"Republic of Congo"	0.0408949
Namibian	0.040506
"Franjo Tudjman"	0.0404614
"Barisan Nasional"	0.0403392
"Boutros Boutros Ghali"	0.0400319
Veerappan	0.0400048
))
("Bosnian Croat" (desc 3550.74) (sims
"Bosnian Serb"	0.271302
Croat	0.253392
"Bosnian Muslim"	0.17882
Abkhazian	0.174867
Tajik	0.140514
"South Vietnamese"	0.140444
Taleban	0.138857
Uzbek	0.132473
"Kosovo Albanian"	0.131006
Kosovar	0.123589
"Kosovar Albanian"	0.118859
"Iranian Jews"	0.117019
Muslim-Croat	0.116618
Hutu	0.113751
"Christian Democrat"	0.113338
Ingush	0.112712
Zairian	0.111304
"Greek Cypriot"	0.109325
"Senate Republican"	0.107975
Kurdish	0.106013
"Bosnian Croats"	0.102949
"Ulster Unionist"	0.102795
Chechen	0.101183
royalist	0.0995288
Zapatista	0.098459
"Shiite Muslim"	0.0975602
Libyan	0.0959735
"Turkish Cypriot"	0.0954673
"Republican House"	0.0952547
Croatian	0.0948246
ragtag	0.0946128
hardline	0.0945552
PNP	0.094137
Cuban-American	0.0939137
MMD	0.0938621
"Ethnic Albanian"	0.0930323
"Afghan Taliban"	0.0928693
"Coptic Christians"	0.091104
Montenegrin	0.0897379
Papon	0.0896185
"Israeli Arab"	0.0890255
Latvian	0.0886598
SPLA	0.0882061
Tutsi	0.0874366
Camerounian	0.0868173
"civil defense"	0.0862681
Copt	0.0855498
"North Korean"	0.0854292
"Maria Hsia"	0.0852937
Druse	0.0850567
basij	0.0849964
slain	0.0846737
"East German"	0.0845522
"Northern Irish"	0.0844949
Agca	0.0844317
pro-western	0.0838987
occupying	0.0832254
Timorese	0.082305
"Khmer Rouge"	0.0821424
Ecuadorean	0.0814974
"Irish Catholic"	0.0811979
Moldovan	0.0808915
UDF	0.080719
UNIP	0.0803372
"Sierra Leonean"	0.0800753
Ukrainian	0.0790582
plainclothes	0.0787529
ninja	0.0784009
Ivorian	0.0782808
Renamo	0.0780636
Arab-American	0.0775476
Arab-Americans	0.0770924
"Black Panther"	0.0766288
"North Vietnamese"	0.0765412
Azerbaijani	0.0765213
"John William King"	0.076398
Islamist	0.0763262
UNP	0.0755271
PCF	0.0754627
Rwandese	0.0747823
"Russell Peeler"	0.0747118
Azeri	0.0745996
BSF	0.0745549
"Republican Senate"	0.0744946
KDP	0.0735777
Turkish	0.0734189
UUP	0.0734032
"Sri Lankan"	0.0731129
supremacist	0.0730372
Tatar	0.0729988
Interahamwe	0.0727121
Kuomintang	0.0721867
Sikh	0.0721824
PUK	0.0719799
"National Action"	0.0716428
TNI	0.0714449
Lakas	0.0712878
"other eight"	0.0708657
Croats	0.0702151
IFOR	0.0698412
PDP	0.0694553
BASQUE	0.0692597
teamster	0.0691337
"Edwin Edwards"	0.0688776
secularist	0.0687479
Banyamulenge	0.0683349
Priebke	0.0681914
Japanese-American	0.0681163
Armenian	0.0680048
"other six"	0.067949
Forty-four	0.0677369
"Alija Izetbegovic"	0.0676489
"Around @@@"	0.0675506
"New Democracy"	0.067473
Tory	0.0674563
KNU	0.0673561
Deri	0.0673316
"Manuel Noriega"	0.0671861
"South African National Defense Force"	0.0671799
Ntuyahaga	0.0671771
Botswanan	0.0671691
MQM	0.0671191
Merlino	0.0670198
WNBF	0.0669322
Shayler	0.0668117
IRGC	0.0666737
"Terry Nichols"	0.0664528
Croatians	0.0663311
"other seven"	0.0662909
Lakas-NUCD	0.0662573
IFP	0.0660747
UMNO	0.0655769
"South Korean"	0.0654985
SANDF	0.0654299
RCD	0.0652691
"Social Democratic"	0.0650411
"Democratic Revolution"	0.0648473
DPP	0.0648155
pro-Islamic	0.064696
pro-British	0.0646172
Marehan	0.0646103
CDU	0.0645546
"Costa Rican"	0.0643988
"Kresimir Zubak"	0.0643021
Belarussian	0.064246
"Orthodox Jewish"	0.0642067
MNLF	0.064124
skinhead	0.0641102
SLA	0.0641076
Cheung	0.0638756
Zulu	0.0637843
Kalejs	0.0637568
"Momcilo Krajisnik"	0.0636287
Twelve	0.0635567
unionist	0.0634618
"Louise Woodward"	0.0634436
Belarusian	0.0633026
UNTAET	0.0631041
FRELIMO	0.0630385
Mikhailov	0.0627985
"Likud Party"	0.0626832
ANC	0.06261
Kazakh	0.0624317
"House Republican"	0.0623392
"Sunni Muslim"	0.0623176
dovish	0.062202
HDZ	0.0621125
ABRI	0.0619135
UNITA	0.0617333
"U. N."	0.0617137
UF	0.0615269
Amal	0.0611377
"Center Party"	0.0609667
Kyrgyz	0.0605404
RRA	0.0604656
"Other @@"	0.0600492
"Julie Hiatt Steele"	0.0600019
Kashmiri	0.0598828
FN	0.0597763
"Russian Interior Ministry"	0.0596971
Karbaschi	0.0595986
DSE	0.0595268
NRM	0.0595231
SPD	0.0594364
"South Lebanese Army"	0.0592898
UDM	0.0592682
"National Front"	0.0591102
"intelligence agent"	0.0590123
"Timothy McVeigh"	0.0588249
INTERFET	0.0587117
CCM	0.0586187
ex-communist	0.0586119
"African National Congress"	0.0585496
Ecuadoran	0.058537
"Dinko Sakic"	0.0584059
"Angel Maturino Resendiz"	0.0582208
"Vietnamese Communist Party"	0.0581168
Thirty-four	0.057911
"Puerto Rican"	0.0578626
PRI	0.0577006
))
("Bosnian Croats" (desc 4757.57) (sims
Croats	0.196527
Copt	0.139567
"Muslim-Croat Federation"	0.129234
Arab-Americans	0.127747
Croatians	0.126013
"Kosovo Serbs"	0.113575
"Bosnian Serbs"	0.113456
Montenegrins	0.109678
non-Serbs	0.10611
"Bosnian Croat"	0.102949
"Coptic Christians"	0.0987105
Croat	0.0963077
"Bosnian Muslims"	0.0926726
Serbs	0.0900775
"Kosovo Albanians"	0.0900775
"Kosovar Albanians"	0.0880011
Muslim	0.0852444
"Bosnian Serb"	0.0810836
"Alija Izetbegovic"	0.0785099
non-Muslims	0.0762342
Bosnians	0.0757514
Hindu	0.0743001
Sikh	0.0723837
"New York Republicans"	0.0719213
Kamajors	0.0709573
"Ethnic Albanians"	0.0704467
"Ratko Mladic"	0.0678431
"Israeli Arabs"	0.0677406
B-@s	0.0667406
Liberian	0.0658729
aldermen	0.065814
"Albanian Kosovars"	0.0653542
"coal miner"	0.0643782
"Bosnian Serb Republic"	0.064076
Croatian	0.0634907
"Albanian Kosovo Liberation Army"	0.0634433
Ethiopian	0.0628516
Moslem	0.0627644
Algerian	0.0623559
mutineer	0.0619895
Libyan	0.0618897
"Stabilization Force"	0.0617061
non-Albanians	0.0616207
Bulgarian	0.0602417
Turk	0.0600304
Zapatistas	0.0597419
"New York Democrats"	0.0596204
miner	0.0596071
clergymen	0.0592877
UNIP	0.0592125
Salvadoran	0.0591825
"Texas Democrats"	0.0590453
"Iraqi Kurds"	0.0587248
Tamil	0.0587112
"Kresimir Zubak"	0.058466
separatist	0.05833
"Federal Republic"	0.0582909
protestor	0.05827
Garcetti	0.0582661
"Sri Lankans"	0.058264
"Orthodox Jews"	0.0581998
"foster child"	0.0581502
MILF	0.0575879
"war criminal"	0.0573765
Kosovars	0.0572381
UNITA	0.0572325
Haitian	0.0571109
Neulander	0.0566151
paramilitary	0.0562603
Eritrean	0.0562187
great-grandchildren	0.0559022
Sudanese	0.0557422
"army officer"	0.0557362
Iraqi	0.0553925
Chinese-Americans	0.055372
"small farmer"	0.0550373
VMs	0.055024
"East Timorese"	0.0549918
Congolese	0.0548485
Hutus	0.0546318
"Khmer Rouge"	0.0546197
"Orthodox Christians"	0.0545802
"intelligence agent"	0.0543541
Buddhist	0.0542654
crewmembers	0.0540105
Raduyev	0.0538891
Taleban	0.05358
Gypsy	0.0535345
insurgent	0.0531479
"military man"	0.0531269
warlord	0.0529478
Taliban	0.0529449
"political detainee"	0.0528712
trainload	0.0526575
supremacist	0.0525593
"dock worker"	0.0525371
"Balkan state"	0.0522693
"religious leader"	0.0522227
dissident	0.052028
Lebanese	0.0520238
"property owner"	0.0519758
ex-convicts	0.0519023
Karadzic	0.051884
"Northern Alliance"	0.0517674
"Turkish Cypriots"	0.0517296
Davidians	0.0516196
Afghan	0.0515885
Protestant	0.0515208
KNU	0.0512524
"Patriotic Union of Kurdistan"	0.0510678
Kurds	0.051067
returnees	0.0510031
Colombian	0.0509996
Honduran	0.0508954
Chinese-Indonesians	0.0508399
"Black Panthers"	0.0507623
"Virtue Party"	0.0505937
Syrian	0.0505306
Kimeses	0.0504149
"International Tribunal"	0.0503647
illegals	0.0503471
"Serb Republic"	0.0501743
businesswomen	0.0500912
"U.S. Administration"	0.0500689
"Muslim Brotherhood"	0.0499895
servicemen	0.0499631
hardliner	0.0499198
tribesmen	0.0498821
Frenchmen	0.0496381
"white man"	0.0495786
"Armed Islamic Group"	0.0495127
non-use	0.0494053
KLA	0.049366
detainee	0.0492631
Rwandan	0.0489183
Cuban-Americans	0.0488183
Musa	0.048805
"prison guard"	0.0487607
"university student"	0.0487272
Papon	0.0486384
"British government"	0.0486225
Aidid	0.0484003
Gunmakers	0.0483919
Berisha	0.0483231
lawmen	0.0482783
picketers	0.0482665
unionist	0.048239
Blackthorne	0.0481718
"major-league team"	0.0480007
Herzegovina	0.047928
rightist	0.0478455
"Kurdistan Democratic Party"	0.0478092
Zairean	0.0477851
"Branch Davidians"	0.0477756
Meretz	0.0477406
airmen	0.0477183
"Cuban Americans"	0.0477
OSCE	0.0476039
Bosnia-Herzegovina	0.0474745
mercenary	0.047471
Serbians	0.0473172
"National Union for Total Independence"	0.0473106
"Slobodan Milosevic"	0.0471942
"military personnel"	0.04719
Islamists	0.0471212
patrolmen	0.0469528
"Polisario Front"	0.0467072
Meciar	0.0466924
Krajisnik	0.04638
Kalejs	0.046279
"church member"	0.0462645
"Balkan country"	0.0462311
Georgian	0.0459099
LTTE	0.0458606
RUF	0.0458258
rioter	0.0457836
skydiver	0.0456502
"popular front"	0.0456433
Peruvian	0.0456111
Renamo	0.0456097
Dodik	0.0454857
no-decisions	0.0453382
Presense	0.0453287
"Franjo Tudjman"	0.0452675
ex-combatants	0.045246
squatter	0.0452445
"newspaper editor"	0.0452235
leftist	0.0452076
"Radical Party"	0.0451878
Guatemalan	0.045173
internationals	0.045076
Kansan	0.0449565
Kabila	0.0449385
settler	0.0449385
NGOs	0.0448128
Djukanovic	0.0448126
PNA	0.0447946
WNBF	0.0446986
"Moro Islamic Liberation Front"	0.0446525
contras	0.0445745
))
("Bosnian Muslim" (desc 1720.21) (sims
"Kosovar Albanian"	0.224299
"Bosnian Serb"	0.18746
"Kosovo Albanian"	0.18634
Ingush	0.181051
"Bosnian Croat"	0.17882
Kosovar	0.178143
Zairian	0.168817
Camerounian	0.166779
"South Vietnamese"	0.165875
"Ethnic Albanian"	0.160277
Abkhazian	0.158526
"Greek Cypriot"	0.158195
Rwandese	0.154941
"Turkish Cypriot"	0.149946
Croat	0.146289
Tajik	0.145314
"Israeli Arab"	0.138068
Montenegrin	0.136789
Azeri	0.116749
Botswanan	0.116313
Hutu	0.114867
"Orthodox Jewish"	0.113145
"North Vietnamese"	0.111133
Taleban	0.110995
Armenian	0.11073
"Sierra Leonean"	0.110222
Tutsi	0.110091
Korean-American	0.109627
Latvian	0.109013
Kurdish	0.108416
"Republican House"	0.104991
Druse	0.103776
"North Korean"	0.103612
"Ulster Unionist"	0.101114
Ecuadorean	0.101068
Chechen	0.100889
Azerbaijani	0.100695
Uzbek	0.100155
UDF	0.0999492
Okinawan	0.0990171
Moldovan	0.0989344
Ivorian	0.0989263
"Irish Catholic"	0.0984256
Zapatista	0.0979613
Bosnian	0.097446
non-Jewish	0.0949165
Japanese-American	0.0945775
"up to @@,@@@"	0.0934489
"Afghan Taliban"	0.0928072
Sandinista	0.0925734
"Bosnian Muslims"	0.0922586
"up to @,@@@"	0.0914081
BSF	0.0912611
"Around @@@"	0.0900186
Belarusian	0.0895377
"Two hundred"	0.0893871
Kuomintang	0.0885539
Arab-American	0.0883138
Hasidic	0.0871988
Cuban-American	0.0868665
"Shiite Muslim"	0.0864888
nonwhite	0.0861448
U.S.-led	0.0858249
Kyrgyz	0.0852431
ZCTU	0.0840944
Banyamulenge	0.0840359
Turkish	0.0830989
Timorese	0.0823575
"Christian Democrat"	0.0818148
Muslim-Croat	0.0810778
Ecuadoran	0.0802829
"nearly @ million"	0.0801774
"Sri Lankan"	0.0794678
slain	0.0793656
"another @@,@@@"	0.0782998
"South Korean"	0.0782183
"East Timorese"	0.0782026
Ukrainian	0.0781006
Fifteen	0.0779249
"Senate Republican"	0.0766421
"nearly one million"	0.0763762
"Implementation Force"	0.0763486
UUP	0.0762731
Bedouin	0.0756145
NRM	0.0752516
Davidian	0.0752014
"House GOP"	0.0751964
AFA	0.0750487
"regular army"	0.0745202
Kurd	0.0741342
UML	0.074038
"Asian American"	0.0738165
"nearly @@@,@@@"	0.0736368
UDM	0.0735009
Twelve	0.0733947
SPLA	0.0733728
pro-western	0.0731355
Makah	0.0731208
"six million"	0.0721591
MNLF	0.072077
Belarussian	0.0717193
occupying	0.0715391
"close to @,@@@"	0.0713582
Mexican-American	0.0713337
"Sunni Muslim"	0.0703702
NDP	0.0699367
"One Million"	0.0698478
"almost @,@@@"	0.069763
Kashmiri	0.0697055
"Republican Guard"	0.0695476
Estonian	0.0694784
"East German"	0.069349
teamster	0.0690151
"another five"	0.0689647
non-Hispanic	0.0686271
Ukranian	0.0686152
non-Muslim	0.0685973
"Labour Party"	0.0685049
RRA	0.0683111
AUM	0.0682976
Hmong	0.0682373
Maltese	0.0681445
PNP	0.0678359
Slovak	0.0678049
"about @@@ to @@@"	0.0677724
ragtag	0.0672199
"Kresimir Zubak"	0.0670858
"Puerto Rican"	0.0666726
Korean	0.0666076
MQM	0.0665684
"Over one million"	0.0664815
"another @@@,@@@"	0.066478
NDA	0.0660593
MMD	0.0660044
Maasai	0.0657048
Eleven	0.0656071
"Another @,@@@"	0.0655586
"roughly @@@,@@@"	0.0654416
"two key"	0.0653844
Kazakh	0.0650453
IRGC	0.0649889
UNIP	0.0647305
"over @@@,@@@"	0.0643388
Sioux	0.064051
hardline	0.0639201
CUF	0.0636396
Thirty-six	0.0634521
PML	0.0634506
UNP	0.0629344
"Vietnamese Communist Party"	0.0625165
"Russian Interior Ministry"	0.0624952
DAP	0.0622724
"American Jewish"	0.0622608
PUK	0.0614075
Bighorn	0.0612254
IFOR	0.0610824
KDP	0.060937
"over @@,@@@"	0.0608902
"Muslim Brotherhood"	0.060757
"Center Party"	0.0607295
"nearly @,@@@"	0.0604022
DPR	0.0602653
Sixteen	0.0601039
MILF	0.0600678
"Other @@"	0.0600264
PCF	0.0598137
royalist	0.0596227
"Black Panther"	0.0595976
"four to five"	0.0595672
"roughly @,@@@"	0.0594461
INTERFET	0.0594249
SDS	0.0594059
"House Republican"	0.0594
Hausa	0.0591865
UMNO	0.0590523
Kazak	0.0589292
Anglo	0.0589096
CPN-UML	0.0588647
CPV	0.0583731
"West African"	0.0583523
MDC	0.0583347
Forty-four	0.058273
"Momcilo Krajisnik"	0.0582479
"two dozen"	0.0582141
Ijaw	0.0580269
"up to @@@,@@@"	0.0579693
KNU	0.0577784
"Viet Cong"	0.0572568
"over @,@@@"	0.0572028
"two million"	0.0571692
Slovakian	0.057116
"Khmer Rouge"	0.0571159
RUF	0.0570848
"ten thousand"	0.0570729
NLD	0.0570662
DFB	0.0570202
UF	0.0568897
"Southern Baptist"	0.0566666
"close to @@,@@@"	0.056657
Thirteen	0.0566416
))
("Bosnian Muslims" (desc 4426.02) (sims
non-Serbs	0.23267
Bosnians	0.175033
"Kosovar Albanians"	0.149705
"Kosovo Serbs"	0.136861
"Albanian Kosovars"	0.132728
Croats	0.13244
Serbs	0.117811
"Kosovo Albanians"	0.116607
Moslem	0.114088
Muslim	0.112501
Albanian	0.105113
"Bosnian Serbs"	0.102294
Kosovars	0.0988141
"Bosnian Croats"	0.0926726
"Bosnian Muslim"	0.0922586
"Iranian POWs"	0.0914694
non-Albanians	0.0885712
Tutsis	0.0854691
"Iraqi POWs"	0.0843651
"Ethnic Albanians"	0.0837466
"Bosnian Serb"	0.0821476
Gypsy	0.0819682
Hutus	0.0815256
Macedonian	0.0804453
Serbians	0.0793651
Serb	0.0775313
Copt	0.0756427
protestor	0.0753772
"European Jews"	0.0745678
Chechens	0.0734608
Turk	0.0733675
Ukrainians	0.0726568
Tutsi	0.0724228
"Stabilization Force"	0.072077
Montenegrins	0.0720568
Japanese-Americans	0.0717466
Burundian	0.0698444
Eritrean	0.0694058
"Implementation Force"	0.0687414
Bosnian	0.0684549
"Cuban Americans"	0.0672575
"Muslim-Croat Federation"	0.0672229
Navajos	0.0668443
enumerators	0.0663569
Sudanese	0.0661294
Kurds	0.0652119
Croatians	0.0646311
Rwandan	0.064368
"North Africans"	0.0636958
IFOR	0.0633792
"Sri Lankans"	0.0632421
Hungarian	0.0631364
Lebanese	0.0626186
Slav	0.0620646
"Kosovo Liberation Army"	0.0620369
villager	0.060955
PUK	0.060806
policemen	0.0602955
rioter	0.0602109
evacuee	0.0598175
Afghan	0.0595295
Zapatistas	0.0592505
Salvadoran	0.0588417
Vukovar	0.0586733
"Greek Cypriots"	0.0585512
Iraqi	0.0583425
"Joint Liaison Group"	0.0583189
"Coptic Christians"	0.0582648
squatter	0.0582122
Congolese	0.0578797
"coal miner"	0.0578535
Liberian	0.0576134
Armenians	0.0573799
"Bosnian Croat"	0.0571294
Honduran	0.0570889
insurgent	0.0570648
settler	0.0568365
KLA	0.0564636
armymen	0.0563766
lawmen	0.0561727
dissident	0.055719
Algerian	0.0555592
holidaymaker	0.0555081
Ghanaians	0.0553771
paramilitary	0.0552908
Angolan	0.0552508
Herzegovina	0.0550205
guerilla	0.0542165
Haitian	0.0540612
Ethiopian	0.0540566
Filipino	0.0534469
militiamen	0.0532785
"North Koreans"	0.0532546
"Zapatista National Liberation Army"	0.0532042
Yugoslav	0.0530108
illegals	0.0529906
Ingush	0.0529154
Lazarenko	0.0528035
"Alija Izetbegovic"	0.0527711
Cuban-Americans	0.0527627
"Momcilo Krajisnik"	0.0526342
"East Timorese"	0.0526076
hostage-takers	0.0522666
Bulgarian	0.0522491
"Shiite Muslims"	0.0516453
demonstrator	0.051624
Kambanda	0.0515204
"Iraqi Kurds"	0.0512757
Tibetans	0.0511665
Guatemalan	0.0510222
mini-buses	0.0509587
"fire fighter"	0.050944
Yemeni	0.050883
abductor	0.0508256
deserter	0.050667
B-@s	0.0506145
farmworkers	0.0504748
hemophiliac	0.0504543
"Ansumane Mane"	0.050414
Chinese-Indonesians	0.0503592
Srebrenica	0.0502468
Babitsky	0.0501782
mercenary	0.0500161
soliders	0.049911
"United National Party"	0.0498642
Hindu	0.0497142
"property owner"	0.0496969
worshiper	0.0496459
"political dissident"	0.0496316
peasant	0.0495787
"Organization for Security and Cooperation in Europe"	0.0495455
servicemen	0.0494114
Papon	0.0493069
Mozambican	0.0492109
Bangladeshi	0.0491152
Muscovite	0.048505
peacekeeper	0.0484969
miner	0.0483986
"political prisoner"	0.0483504
mutineer	0.0481293
"prisoner of war"	0.0480489
separatist	0.0479647
herdsmen	0.047888
mourner	0.0478665
worshipper	0.0477968
wrongdoer	0.0477929
Bhutanese	0.0477797
upperclassmen	0.0477367
Meston	0.047728
"Kresimir Zubak"	0.047725
Athenian	0.0476911
"Bosnian Serb Republic"	0.047624
"murder suspect"	0.0475857
infiltrator	0.0474917
"nearly $@@"	0.0474531
Dutchmen	0.0468768
noncitizens	0.0465552
rickshaw	0.0465306
Guinean	0.0464671
laid-offs	0.0464446
schoolchildren	0.0462905
Qatari	0.0461762
Somali	0.0459655
combatant	0.0458647
Kamajors	0.0458363
Cambodian	0.0457821
Georgian	0.0456725
tribesmen	0.0455749
seamen	0.0454611
"law officer"	0.0453546
Imperatori	0.0453518
"William Walker"	0.0451263
reservist	0.0450145
"census taker"	0.0449423
conscript	0.0449402
"university student"	0.0448558
"farm worker"	0.0447483
landowner	0.0446777
"Russian Jews"	0.044607
Soyinka	0.0444435
Colombian	0.0444378
Shiite	0.0443149
Kashmiris	0.0440622
"Virtue Party"	0.0440208
"Liberal Democrats"	0.0440063
"Patriotic Union of Kurdistan"	0.0439157
Ugandan	0.0437866
KDP	0.0436716
Nkabinde	0.0436117
"military personnel"	0.0435675
"three schools"	0.04344
"small farmer"	0.0432971
Greeks	0.0432639
"robbery suspect"	0.043235
Sikh	0.0431295
Cypriot	0.0431241
cormorant	0.0430266
clergymen	0.0429733
"Augusto Pinochet"	0.0429462
"Sierra Leonean"	0.0429173
))
("Bosnian Serb" (desc 9771.07) (sims
"Bosnian Croat"	0.271302
Croat	0.197559
"Bosnian Muslim"	0.18746
Muslim-Croat	0.158561
Moldovan	0.1335
Montenegrin	0.133073
Abkhazian	0.131602
"Kosovo Albanian"	0.131047
Ingush	0.130898
Tajik	0.122252
"South Vietnamese"	0.122194
Chechen	0.118887
Rwandese	0.117386
"Northern Irish"	0.112577
Zairian	0.111752
Hutu	0.110045
Uzbek	0.109328
"Iranian Jews"	0.108897
"Turkish Cypriot"	0.108481
Ivorian	0.107793
"Ethnic Albanian"	0.105083
Kyrgyz	0.104625
Latvian	0.10452
Azerbaijani	0.103034
"Sri Lankan"	0.102461
Serb	0.100725
"Bosnian Serbs"	0.100645
"Kresimir Zubak"	0.099071
"Sierra Leonean"	0.0990438
Turkish	0.0989875
"North Korean"	0.0979588
Belarussian	0.0963554
"Greek Cypriot"	0.0953771
Camerounian	0.0950891
Botswanan	0.0950863
Slovak	0.0948401
BASQUE	0.0945717
"North Vietnamese"	0.0944286
Kosovar	0.0942161
Algerian	0.0938949
Lithuanian	0.0923837
Muslim	0.0922645
Ukrainian	0.0910837
Azeri	0.0906422
Zapatista	0.0903966
Libyan	0.0903546
Belarusian	0.0899954
MMD	0.08971
Ecuadorean	0.0889465
"Khmer Rouge"	0.0877324
"war criminal"	0.0871467
"South Korean"	0.0871108
hardline	0.0862581
Kazakh	0.0861118
Kurdish	0.0854398
"Costa Rican"	0.0851006
Bosnian	0.0845428
supremacist	0.0841229
"Kosovar Albanian"	0.0825135
"East German"	0.082305
"Bosnian Muslims"	0.0821476
Cuban-American	0.0813934
"Bosnian Croats"	0.0810836
TNI	0.0807361
"Israeli Arab"	0.0806306
UMNO	0.0803944
Tutsi	0.0801231
"Christian Democrat"	0.079949
Swango	0.0799118
royalist	0.0791099
Estonian	0.0786683
Ntuyahaga	0.0771856
Philippine	0.0762216
"Radovan Karadzic"	0.0760121
pro-British	0.0759156
PNP	0.0754272
"Ratko Mladic"	0.0745715
occupying	0.0740617
"Angel Maturino Resendiz"	0.0732193
Ecuadoran	0.0729932
"army officer"	0.0729046
Somaliland	0.0726914
pro-western	0.0726288
Mladic	0.0725189
Armenian	0.070827
RCD	0.0705194
UNITA	0.0702799
"enlisted man"	0.069957
Albanian	0.0699245
IFOR	0.0699183
Kuomintang	0.0697521
Kimeses	0.0697198
"Momcilo Krajisnik"	0.0694446
Kalejs	0.0693173
UNIP	0.0688261
"Implementation Force"	0.0687671
"Viet Cong"	0.0682564
Kurd	0.0681309
"Ulster Unionist"	0.0680428
KLA	0.0678866
Jelisic	0.0673999
unionist	0.0673947
Shayler	0.0662576
"Republican House"	0.0657279
slain	0.0656201
Soviet	0.0651844
Shipman	0.0651269
Merlino	0.0649262
Taleban	0.0648663
"military officer"	0.064857
Nikitin	0.0646511
Timorese	0.0645368
fugitive	0.0643576
"Black Panther"	0.0643556
Macedonian	0.0643362
"Shiite Muslim"	0.064294
"South African"	0.0639812
Sikh	0.0638897
KFOR	0.0637882
drifter	0.063674
Serbian	0.0636594
IRGC	0.0636583
UUP	0.0634444
McDougal	0.0631801
Greek	0.0631617
"Senate Republican"	0.0630906
"Dinko Sakic"	0.0627287
Croats	0.0625064
Turkmen	0.0622691
Fatah	0.0620796
serviceman	0.0620543
"Ahmed Ressam"	0.0619867
Kashmiri	0.0617658
mujahedeen	0.0612213
Twelve	0.0611009
"Maturino Resendiz"	0.0608668
"Afghan Taliban"	0.0607743
"Martin Frankel"	0.0606941
Arab	0.0600722
accused	0.0599761
Pakistani	0.059811
Barrionuevo	0.059721
Rwandan	0.0597112
"U.S. Soccer Federation"	0.0596911
Kazak	0.0595914
"Abu Nidal"	0.0594568
teamster	0.0591622
Taliban	0.0586881
Sandinista	0.0586645
"Irish Catholic"	0.0586381
MQM	0.0585758
INTERFET	0.0585091
"East Timorese"	0.0579523
Renamo	0.0578906
dovish	0.0577014
Natale	0.057612
"Sunni Muslim"	0.0575234
Islamist	0.0575061
KNU	0.0574066
Finnish	0.0573589
WNBF	0.0573561
PUK	0.0572472
defendant	0.0569974
"second person"	0.0567147
Ulster	0.0566904
Gotti	0.0566156
ELN	0.0566065
Ukranian	0.0564658
NATO-led	0.0564613
"El Hage"	0.0564282
clergyman	0.0563569
skinhead	0.0562916
gendarmerie	0.0562788
Karadzic	0.0562648
Stayner	0.0561958
Salemme	0.0558802
Tory	0.0557322
"other five"	0.0556129
UNP	0.0556011
loyalist	0.055517
"Republican Guard"	0.0554207
Shiite	0.0553154
"Abdullah Ocalan"	0.0553063
Papon	0.0552909
cleric	0.055251
NLD	0.0552215
"Russell Peeler"	0.0550991
Baumhammers	0.0550956
Gusinsky	0.0550892
Maltese	0.0550022
"Muslim-Croat Federation"	0.0549843
Priebke	0.0548696
ABRI	0.054852
Portuguese	0.0547498
Scottish	0.0546073
Salvadoran	0.0545801
ultranationalist	0.0545347
"House GOP"	0.0545317
Nepali	0.0544349
"Yugoslav Army"	0.0542257
))
("Bosnian Serb Republic" (desc 1187.07) (sims
"Serb Republic"	0.21686
"Serbian Republic"	0.160436
"Yugoslav Republic"	0.120872
"Republic of Ireland"	0.104936
"Republika Srpska"	0.104696
"United Republic of Tanzania"	0.0987503
Bosnia-Herzegovina	0.0978703
"Muslim-Croat Federation"	0.0962662
"Gaullist Rally"	0.087024
"Slovak Republic"	0.0854082
"Federal Republic"	0.0833498
"Olympic Council of Asia"	0.0804829
"Sao Tome and Principe"	0.0729355
Czechoslovakia	0.072631
"free people"	0.0718247
Lithuania	0.0704823
"judicial branch"	0.0703105
Moldova	0.0674637
"United National Party"	0.0661376
"Parliamentary Assembly"	0.0660809
NARAL	0.0659124
"St. Vincent and the Grenadines"	0.0657063
"legislative branch"	0.0649438
CMAG	0.0647372
"Bosnian Croats"	0.064076
"People's Alliance"	0.0637024
Maldives	0.0635962
"Irish Republic"	0.063317
"South Vietnam"	0.0619596
Surinam	0.0619567
"Department of Motor Vehicles"	0.0616439
MSF	0.0615473
Cameroun	0.0604451
Herzegovina	0.0603372
"Andean Group"	0.0602709
"North West Frontier Province"	0.0599841
"International Tennis Federation"	0.0591441
Benin	0.0591022
Latvia	0.0589512
"Central African Republic"	0.0582501
"Lower Saxony"	0.0574437
"Democratic Republic"	0.0571705
"Benevolent Association"	0.0570813
"Association for Friendship"	0.0570428
"International Skating Union"	0.0569728
"North Ossetia"	0.0565805
"Palestinian Council"	0.0549759
"Wine Institute"	0.0545771
"Audubon Society"	0.0541959
"China National Petroleum Corporation"	0.0541783
"Central American nation"	0.0538501
Estonia	0.0536131
Histadrut	0.0533998
"CBS Sports"	0.0531572
"Pakistan Muslim League"	0.0530851
Kyrgyzstan	0.053035
Somaliland	0.0529351
"Democratic Congo"	0.0528044
CPAFFC	0.0527098
"Macao Government"	0.0524896
Rhodesia	0.0524364
"Church of Jesus Christ of Latter-day Saints"	0.0524251
"Balkan state"	0.0523887
"Sam Rainsy Party"	0.052288
"European Bank for Reconstruction"	0.0520752
"Awami League"	0.0519619
"All-China Youth Federation"	0.0518826
MSAR	0.0518661
"International Brotherhood"	0.0516295
"Cape Verde"	0.0514263
"Turkish Republic"	0.0509484
"Commonwealth Ministerial Action Group"	0.0507607
"Russian Federation"	0.0506852
NRP	0.0506399
"Solomon Islands"	0.0504798
"Central American country"	0.0501765
"U.S. Soccer Federation"	0.0501579
Comoros	0.0501059
Baltics	0.0498023
"International Ski Federation"	0.049776
CIRC	0.0496874
"International Amateur Athletic Federation"	0.0494748
"Federal Reserve Bank of New York"	0.0494681
"International Amateur Athletics Federation"	0.0491038
"Kenyan Government"	0.0490571
"Board of Trade"	0.0490174
"International Fund"	0.0488474
"Republic of Congo"	0.0486729
"Revolutionary Command Council"	0.0485979
"Beth Israel Deaconess Medical Center"	0.0485923
"Islamic Revolutionary Guards Corps"	0.0485731
WEU	0.0485333
ACWF	0.0484962
Koreas	0.0484387
"Radovan Karadzic"	0.0483767
"American Association of Health Plans"	0.0483019
Awami	0.0481955
"Constitutional Assembly"	0.048143
"executive agency"	0.0479608
"Ivory Coast"	0.0478514
"Commerce and Industry"	0.0477103
"Bosnian Muslims"	0.047624
"Khaleda Zia"	0.0476086
"All-China Journalists Association"	0.0476043
"Yuan Dynasty"	0.0475103
Lissouba	0.0473743
"Communications Workers of America"	0.0473395
Micronesia	0.0472984
"United States of America"	0.0472982
Lao	0.0472974
"National Abortion and Reproductive Rights Action League"	0.0471657
Niger	0.0471551
Medtronic	0.0470679
"Nuclear Regulatory Commission"	0.0470327
NKP	0.0469735
"Felipe Gonzalez"	0.0469509
CAF	0.0468601
Kyprianou	0.0468075
"Southeastern Legal Foundation"	0.0467547
Bundestag	0.0467262
"Delta State"	0.0467005
"Netherlands Antilles"	0.0465256
"Pakalitha Mosisili"	0.0464392
"Motion Picture Association of America"	0.0463179
"International Society"	0.046256
ECW	0.0461728
"Zhejiang University"	0.0461402
"Pakistan People's Party"	0.0461326
Rangoon	0.046122
"Operation Rescue"	0.0461046
CMA	0.0460688
SCLC	0.0460599
"rat race"	0.0460514
Musgrove	0.0458761
"one million US dollars"	0.0458547
"Trinidad and Tobago"	0.0458389
"Democratic Leadership Council"	0.0457039
"Balkan country"	0.0452601
"Australian Olympic Committee"	0.0450185
Vitoria	0.0450153
"St. Lucia"	0.0449644
Kiribati	0.0449601
"Judicial Watch"	0.0449445
MPLA	0.0449333
Honiara	0.0446907
CCF	0.0446262
Makhachkala	0.0445276
DSE	0.0444935
Tadzhikistan	0.0444647
"National Education Association"	0.0442569
"World Jewish Congress"	0.0441246
"American Association"	0.0441183
CCB	0.044112
"International Badminton Federation"	0.0440874
"Academy of Motion Picture Arts"	0.0440575
"native land"	0.0440208
Karnataka	0.0440011
Slovaks	0.043948
Tbilisi	0.0439224
"NFL Players Association"	0.0437997
"Boys Ranch"	0.0437581
Utes	0.0437453
Meretz	0.0437132
HKTA	0.043673
OCA	0.0436682
"New Zealand First"	0.0435642
"Israeli Defense Forces"	0.0435477
CFA	0.0431334
PRC	0.0431222
teamster	0.0430756
"Israeli Cabinet"	0.0430295
non-Serbs	0.0430019
"liquidity problem"	0.0429374
"Unites States"	0.0429188
"Liaison Office"	0.0428619
"European Council"	0.0427663
"St. Kitts and Nevis"	0.0426993
"U.S. Golf Association"	0.0426599
"Trade and Industry"	0.0426556
Maharashtra	0.0426227
GAAF	0.0425396
"Hong Kong Federation"	0.0425098
"Joint Commission"	0.0424413
"Funcinpec Party"	0.042316
"Kaiser Family Foundation"	0.0423156
"PC Data"	0.0423062
"Guinea Bissau"	0.0421892
"Indonesian Armed Forces"	0.0421868
"Hainan Island"	0.0421671
UNP	0.0421339
USSR	0.0421323
"University of Notre Dame"	0.0419478
"Defense Fund"	0.0419456
Bosnians	0.0419432
"National Urban League"	0.0417962
Hearn	0.041731
"Canadian International Development Agency"	0.0416416
"Service Employees International Union"	0.041582
FIVB	0.0415762
CRT	0.0415698
))
("Bosnian Serbs" (desc 12998.3) (sims
Serbs	0.136383
"Republika Srpska"	0.122111
"Bosnian Croats"	0.113456
"Serb Republic"	0.103115
"Kosovo Albanians"	0.102353
"Bosnian Muslims"	0.102294
"Bosnian Serb"	0.100645
militia	0.0939259
UNITA	0.0914942
militant	0.0885913
Albanian	0.0872659
Taliban	0.0851455
RUF	0.0849028
rebel	0.0847364
"Revolutionary United Front"	0.0830257
separatist	0.082462
"Stabilization Force"	0.0805655
Croats	0.0800556
Muslim	0.0794215
guerrilla	0.0792268
"Kosovar Albanians"	0.0777457
Serbia	0.0773012
"Federal Republic"	0.0772967
tribesmen	0.0766179
"Albanian Kosovo Liberation Army"	0.0763917
civilian	0.0759644
Arab-Americans	0.0753376
Chechens	0.0751404
Bosnians	0.0750071
"Kosovo Liberation Army"	0.0741858
"National Union for Total Independence"	0.0732775
faction	0.0731777
"security force"	0.072413
"Serbian Republic"	0.0718232
Palestinian	0.0717297
militiamen	0.0716138
Yugoslavia	0.0715444
Copt	0.0713939
Milosevic	0.0711415
"National Union"	0.0708547
Kurds	0.0705874
Yugoslav	0.0697701
"Coptic Christians"	0.0693596
insurgent	0.0688874
Montenegro	0.0688868
KLA	0.0677404
gunmen	0.0676905
IFOR	0.0658291
"Khmer Rouge"	0.064721
Iraqi	0.0646762
"Turkish Cypriots"	0.0639986
warlord	0.0639285
Israeli	0.0637468
"Afghan Taliban"	0.0636227
terrorist	0.0633422
Ethiopian	0.0625894
extremist	0.0624182
Hutus	0.0620422
"Implementation Force"	0.0603084
junta	0.0603077
Mladic	0.0602358
Tamil	0.0600998
KDP	0.0599145
nationalist	0.0597076
Serb	0.0596967
paramilitary	0.0596167
"Palestinian National Authority"	0.0594677
policemen	0.0592617
"Palestinian Authority"	0.0591799
"Hezbollah (Party"	0.0590644
BELGRADE	0.0588328
"Balkan country"	0.0587773
FARC	0.0585389
mutineer	0.0582017
PNA	0.0578902
rioter	0.0578096
Hijacker	0.0575912
"Liberation Tigers of Tamil Eelam"	0.0575135
Bosnia	0.0574982
Histadrut	0.0573596
"Kosovo Serbs"	0.057303
prisoner	0.0572994
MILF	0.0572459
Lissouba	0.0568105
Hezbollah	0.0567704
Turk	0.0567164
SFOR	0.0566226
fighter	0.0565611
Kabila	0.0564671
Kamajors	0.0564485
SPLA	0.0562371
Republic	0.0561714
LTTE	0.0559981
Ugandan	0.0556131
"federal agent"	0.0555743
settler	0.0555384
"drug trafficker"	0.0554314
Renamo	0.0551883
kidnapper	0.0548096
Sarajevo	0.0547948
Ukrainians	0.0545532
"Sudan People's Liberation Army"	0.0545131
Iranian	0.0542354
Algerian	0.0542339
"Northern Alliance"	0.0542302
Zapatistas	0.0542061
peacekeeper	0.0541349
"Balkan nation"	0.0539099
Syria	0.0538534
Natale	0.0538258
protester	0.0536379
"Abu Sayyaf"	0.0533853
Croatia	0.0532172
troops	0.052834
"Greek Cypriots"	0.0526948
dissident	0.05256
hard-liner	0.0523025
Haitian	0.05222
"major power"	0.0521035
Macedonian	0.0520537
Moslem	0.0520534
non-Muslims	0.0519254
"African National Congress"	0.0517971
squatter	0.0517908
"Saddam Hussein"	0.0516969
bandit	0.0516708
Baghdad	0.0516256
entity	0.0515012
OSCE	0.0514101
clergymen	0.0512313
Jew	0.0511335
hardliner	0.0510997
Communist	0.0509173
servicemen	0.0507014
BJP	0.0506545
Arab	0.0506442
NDF	0.0506239
"intelligence agent"	0.0505977
RRA	0.0505335
Salemme	0.0505095
Bosnia-Herzegovina	0.0504895
Saddam	0.050313
Karadzic	0.0502137
"North Korea"	0.0501774
Sandinistas	0.049968
"Organization for Security and Cooperation in Europe"	0.0498347
Herzegovina	0.0497361
Nazi	0.04962
UNP	0.0494826
commando	0.0493117
protestor	0.0492539
DPRK	0.0492538
POW	0.0492317
Libya	0.0491863
Pakistani	0.0491469
Lebanese	0.0490203
demonstrator	0.0489955
"military force"	0.0489849
PUK	0.0488843
LRA	0.0488067
Hamas	0.0486314
combatant	0.0485588
Serbians	0.0484735
"Liberation Tigers"	0.0484611
"Muslim-Croat Federation"	0.0484368
Taleban	0.0484332
unionist	0.048398
Rwandan	0.0483415
"Awami League"	0.0483387
Liberian	0.0482861
Sudan	0.0482619
"United Front"	0.0482245
Shas	0.0482123
attacker	0.0478733
Panamanian	0.0478122
fundamentalist	0.0477116
Strauss-Kahn	0.0476569
foreigner	0.0475826
"National Action"	0.0474475
Izetbegovic	0.0473848
"Patriotic Union of Kurdistan"	0.0473577
reservist	0.0473197
invader	0.0473043
"war criminal"	0.0471474
detainee	0.0471295
villager	0.0471286
"Slobodan Milosevic"	0.0469299
ETA	0.0469193
Ukraine	0.0467978
"African nation"	0.0467368
Macedonia	0.046596
Angolan	0.0464986
ELN	0.0464335
"police force"	0.046279
Koreas	0.0461959
"North Atlantic Treaty Organization"	0.0461335
"Iraqi POWs"	0.046092
"North Koreans"	0.0460737
federation	0.0460486
aggressor	0.0459848
))
(Bosnians (desc 5173.07) (sims
"Bosnian Muslims"	0.175033
Montenegrins	0.148873
Cambodian	0.142166
"Sierra Leonean"	0.141196
"Kosovar Albanians"	0.13876
Burundian	0.136911
Kosovars	0.129648
Angolan	0.129493
Ukrainians	0.127279
Afghan	0.124686
Turk	0.123925
"Albanian Kosovars"	0.123191
Sudanese	0.121725
Ugandan	0.121701
Filipino	0.121295
Beijingers	0.120705
Liberian	0.119195
"East Timorese"	0.11861
Vietnamese	0.117731
Moslem	0.11664
Hungarian	0.116469
"Sri Lankans"	0.115841
"Kosovo Albanians"	0.114802
Serbians	0.114284
non-Serbs	0.113658
Somali	0.113067
Armenians	0.111343
Salvadoran	0.111095
Mozambican	0.110657
non-Albanians	0.110441
Macedonian	0.109833
Colombian	0.109173
Honduran	0.108492
Croatians	0.108472
Ethiopian	0.107916
Iranian	0.106524
Greeks	0.106318
Tibetans	0.106126
Haitian	0.105751
Eritrean	0.105423
Laotian	0.104808
Koreans	0.104258
Congolese	0.104168
Iraqi	0.103888
Venezuelan	0.102638
Bulgarian	0.102199
Croats	0.101106
Muslim	0.100731
Moroccan	0.100449
"Iranian POWs"	0.100171
Nicaraguan	0.0984408
Albanian	0.0982263
Nigerian	0.0979282
Peruvian	0.0979152
Navajos	0.0978024
Gypsy	0.09734
Guatemalan	0.0967497
Algerian	0.0964024
Pakistani	0.0958469
Romanian	0.0957228
Kenyan	0.0949819
Indonesian	0.094185
Nepalese	0.0941754
"Iraqi POWs"	0.0941753
Thai	0.0941085
"North Koreans"	0.0924094
Lebanese	0.0923751
Serbs	0.0921301
Quebecers	0.0913571
"displaced person"	0.0911904
Cypriot	0.091073
Rwandan	0.0909426
Taiwanese	0.0905889
illegals	0.0905492
non-Muslims	0.0903964
Jordanian	0.0897442
Kurds	0.089261
Iowan	0.0885089
job-seekers	0.0882052
Kuwaiti	0.0872292
holidaymaker	0.087182
"New York Republicans"	0.0861942
Slovaks	0.0856816
"Kosovo Serbs"	0.0854051
Tanzanian	0.0851297
Georgian	0.0850962
Mississippian	0.0845942
Ecuadoreans	0.0844875
Mexican	0.0836907
"Greek Cypriots"	0.0831299
Londoner	0.0830647
evacuee	0.0830526
Chechens	0.0827506
Zimbabwean	0.0825452
"Russian Jews"	0.0820041
Muscovite	0.0811528
foreigner	0.0804833
Zairean	0.0794471
Egyptian	0.0793932
"Iraqi Kurds"	0.079276
Cuban-Americans	0.0790609
"Cuban Americans"	0.0788429
Namibian	0.0787727
servicemen	0.0787064
Briton	0.0785823
elector	0.078576
Zambian	0.078449
Dominican	0.0776501
Copt	0.0775888
Bangladeshi	0.0773371
Cuban	0.0772455
villager	0.0770709
"North Africans"	0.0765229
"union member"	0.0764667
migrant	0.0761286
Jew	0.0758474
"Bosnian Croats"	0.0757514
"Bosnian Serbs"	0.0750071
Chinese-Indonesians	0.0748856
Singaporean	0.0747216
Timorese	0.0746535
depositor	0.0745048
Chilean	0.0740761
expatriate	0.0737882
Californian	0.0734425
emigrant	0.0733741
detainee	0.0732797
asylum-seekers	0.0729681
"union worker"	0.0725214
"South Koreans"	0.071506
protestor	0.071083
townspeople	0.0708684
"South African"	0.0708456
worshipper	0.0706248
Floridian	0.070175
VMs	0.0699108
Arab-Americans	0.0696344
"Puerto Rican"	0.0696267
enumerators	0.0693442
"military personnel"	0.0693301
Tutsis	0.069233
Malaysian	0.0688874
Atlantans	0.0688178
worshiper	0.0687313
Ghanaians	0.0686244
Slovenian	0.0675059
Lithuanians	0.0670993
Argentine	0.0669852
Chicagoans	0.0668675
"farm worker"	0.066654
commuter	0.0664873
returnees	0.0664232
Yugoslav	0.0663945
transient	0.066167
herdsmen	0.0659893
"New Zealander"	0.0659857
fire-fighter	0.0659806
"church member"	0.0658559
seeker	0.0657364
"skilled worker"	0.06537
Asian-Americans	0.0653254
Belgian	0.0653237
Austrian	0.065233
Brazilian	0.0652257
Syrian	0.0649363
"AIDS patient"	0.0648257
Tamil	0.0647776
Arab	0.0638519
Tutsi	0.0636356
Hutus	0.0635508
"heroin addict"	0.0633997
Ohioan	0.063386
"San Franciscans"	0.0630666
Chinese-Americans	0.062976
"Coptic Christians"	0.0629733
businesspeople	0.0628964
Uruguayan	0.0626056
Latino	0.0625795
"domestic animal"	0.062553
Kansan	0.0623359
noncitizens	0.062111
centenarian	0.062107
Gi	0.0620272
homeless	0.0618626
"South Carolinian"	0.0618022
"absentee ballot"	0.0617538
laid-offs	0.0617407
reveler	0.0616903
Paraguayan	0.0616451
sq.km	0.0616346
"census taker"	0.0613923
pilgrim	0.0613239
"foster child"	0.0611021
Southerner	0.0606132
Englishmen	0.0604839
registrant	0.0603718
POW	0.0601137
peasant	0.0600914
Frenchmen	0.0597121
"senior citizen"	0.0596434
))
(bosom (desc 3984.99) (sims
breast	0.064603
belly	0.0623835
"leg bone"	0.0598799
dimple	0.0559428
eyelash	0.0531427
buttock	0.0485692
midriff	0.0480406
sideburn	0.0479385
cleavage	0.0471355
nostril	0.0461624
"dark ages"	0.0460997
derriere	0.0442255
thigh	0.0441195
feistiness	0.0435154
"square inch"	0.0426912
pocketbook	0.0423198
"stiletto heel"	0.0411131
complexion	0.0406817
"belly dancer"	0.0404495
soulmate	0.0402353
eyelid	0.0400032
))
(Bosporus (desc 2303.42) (sims
"Panama Canal"	0.115274
strait	0.106017
"Suez Canal"	0.0737879
Seine	0.0731109
Danube	0.072507
causeway	0.0712171
"Black Sea"	0.0685945
"Huangpu River"	0.0683432
waterway	0.0652018
"Arctic Circle"	0.0647718
"mountain pass"	0.0639175
"Puget Sound"	0.0632533
"Tim McGraw"	0.0596143
Isthmus	0.0593292
"East River"	0.0561782
"Sea of Japan"	0.0548171
"Ohio River"	0.0543896
"Delaware River"	0.0530182
"Bay Bridge"	0.0525676
"sea lane"	0.0517639
"Missouri River"	0.0509491
footpath	0.0507935
Rhine	0.0502524
"Vancouver Island"	0.0499533
encirclement	0.049256
alleyway	0.0491209
byway	0.0490187
"electric current"	0.0486768
cordon	0.0473911
"Mediterranean Sea"	0.0467855
"Demilitarized Zone"	0.0467832
passageway	0.0467611
Baltic	0.0449355
Caspian	0.0447241
"Manila Bay"	0.0438613
chute	0.0437191
"Great Divide"	0.0436475
footbridge	0.0412546
"Florida Straits"	0.0412207
Himalayas	0.041006
"four miles"	0.0409159
"Long Island Sound"	0.0408641
junction	0.0401911
"pedestrian bridge"	0.040086
))
(boss (desc 49202.2) (sims
Bos	0.1354
manager	0.0966587
executive	0.0949853
employer	0.0898733
owner	0.0890958
supervisor	0.0865159
official	0.0864851
colleague	0.0857408
mobster	0.0830539
politician	0.082593
employee	0.081972
leader	0.081696
co-worker	0.0815594
parent	0.0812335
banker	0.0803301
superior	0.0788588
doctor	0.0787223
member	0.0777857
officer	0.077615
teacher	0.0773812
lawyer	0.0753536
journalist	0.0751786
lawmaker	0.0749577
client	0.0748788
friend	0.0742438
bureaucrat	0.0736726
legislator	0.0729886
worker	0.0720102
kingpin	0.0718839
Cop	0.0718024
mother	0.0717816
activist	0.0716262
man	0.0714389
coach	0.0709911
President	0.0706961
father	0.0702608
associate	0.0697114
administrator	0.0693093
dad	0.0691139
"family member"	0.0690458
Governor	0.0685474
husband	0.0684211
fan	0.0680054
"staff member"	0.067297
landlord	0.0672839
"police officer"	0.0670598
"drug dealer"	0.0669037
judge	0.0667724
criminal	0.0664704
patron	0.0662359
clerk	0.0662065
businessman	0.0659878
folk	0.0656836
entrepreneur	0.0656587
Mayor	0.0656559
neighbor	0.0653412
gangster	0.0653044
guy	0.0649495
anyone	0.0648409
relative	0.0647995
critic	0.0645148
investor	0.0644642
"drug trafficker"	0.0644102
scientist	0.0643564
supporter	0.0642572
prosecutor	0.0640835
customer	0.0639573
nurse	0.0638039
person	0.0637823
staff	0.0637571
chief	0.0632871
Republican	0.0631086
commander	0.062996
lover	0.062986
defendant	0.0626141
trafficker	0.0623739
family	0.0621942
woman	0.0617709
everyone	0.061742
principal	0.0617177
environmentalist	0.0616002
player	0.0615409
trader	0.0613394
gang	0.0612182
girlfriend	0.0611979
smuggler	0.061153
brother	0.0611371
constituent	0.0611286
someone	0.0609966
government	0.0606489
agent	0.0605562
businessmen	0.0604739
regulator	0.060456
driver	0.0603215
technician	0.0603053
shareholder	0.0602955
contractor	0.0601852
management	0.0601639
senator	0.0600671
spouse	0.060059
student	0.0598794
operative	0.059544
police	0.0595371
wife	0.0593436
writer	0.0593184
partner	0.0592699
anybody	0.0592251
voter	0.0590232
physician	0.0590089
enemy	0.0588263
editor	0.0587372
"board member"	0.0586961
engineer	0.0586828
authority	0.0586767
Democrat	0.0584862
subordinate	0.0584043
"general manager"	0.0583998
mom	0.0583214
kid	0.0582849
reporter	0.0582811
operator	0.0582795
"top executive"	0.0582695
public	0.0582578
acquaintance	0.0581565
Lieutenant	0.0581514
resident	0.0581169
consumer	0.0580651
"federal government"	0.0579621
citizen	0.0578991
classmate	0.0577038
accountant	0.0576012
dealer	0.0575622
artist	0.0575122
"security guard"	0.0574061
"political leader"	0.0573648
"drug lord"	0.0573513
"elected official"	0.0572012
Clinton	0.0571623
Attorney	0.0571528
elder	0.0570337
pilot	0.0569187
representative	0.0568727
tycoon	0.056861
expert	0.0568383
she	0.0568213
Israeli	0.0567914
"vice president"	0.0567709
American	0.0567556
lobbyist	0.0566204
umpire	0.0564214
professional	0.0563892
mentor	0.0563179
commissioner	0.0563115
bully	0.0562959
ally	0.0562549
coworker	0.0561752
diplomat	0.0561652
developer	0.056077
leadership	0.0559219
Reader	0.0559073
union	0.0558739
chieftain	0.0558496
terrorist	0.0558346
conservative	0.0557294
"labor union"	0.0556782
priest	0.0556054
farmer	0.0555052
Killer	0.0555004
CEO	0.0554577
individual	0.0554287
liberal	0.055414
you	0.0553465
"business leader"	0.0553055
merchant	0.0552347
juror	0.0551956
aide	0.055186
rabbi	0.0550904
Milosevic	0.0550702
insider	0.0550545
educator	0.0550254
director	0.0549619
others	0.0548834
execs	0.0548185
captain	0.0548093
boy	0.0547181
detective	0.0546452
listener	0.0546206
musician	0.0545674
administration	0.0545217
"prison guard"	0.0544372
suspect	0.0543415
publisher	0.0543357
donor	0.0543164
everybody	0.054311
peer	0.0543094
child	0.0542888
cartel	0.0542805
observer	0.0542667
thug	0.0542453
opponent	0.0542196
))
(Boston (desc 162578) (sims
Chicago	0.291439
Detroit	0.272682
Philadelphia	0.269185
Atlanta	0.267077
Seattle	0.26693
Cleveland	0.26412
"San Francisco"	0.258108
Toronto	0.258083
"Los Angeles"	0.25741
"New York"	0.250617
Houston	0.249767
Baltimore	0.248068
Dallas	0.243601
"St. Louis"	0.237321
Phoenix	0.236438
Pittsburgh	0.236358
Montreal	0.234079
"San Diego"	0.232386
"Kansas City"	0.225971
Milwaukee	0.223649
Cincinnati	0.221736
Miami	0.217161
Denver	0.216357
Oakland	0.212931
"Tampa Bay"	0.20774
ANAHEIM	0.204564
Buffalo	0.204305
Vancouver	0.201948
Orlando	0.198692
"New Orleans"	0.197517
Portland	0.196335
"San Jose"	0.192579
"San Antonio"	0.190506
Washington	0.188551
Sacramento	0.182237
Nashville	0.182116
"New Jersey"	0.179233
Minnesota	0.177267
Edmonton	0.172827
Charlotte	0.172521
Colorado	0.170744
Indianapolis	0.16926
Calgary	0.168682
Florida	0.165229
Arizona	0.165107
"New York City"	0.164899
Minneapolis	0.164879
Tampa	0.164172
"Red Sox"	0.160679
Texas	0.157926
Austin	0.155458
LONDON	0.151506
"Green Bay"	0.151307
Carolina	0.151017
Newark	0.150419
Ottawa	0.149261
Mets	0.147892
Columbus	0.146663
Yankee	0.145544
"Las Vegas"	0.1433
Hartford	0.142983
Jacksonville	0.139187
Albany	0.139109
Paris	0.1384
ranger	0.133894
"New York Mets"	0.131841
"Boston Red Sox"	0.131644
Manhattan	0.130477
"New England"	0.130039
L.A	0.129323
Memphis	0.129268
Indiana	0.128876
Providence	0.127911
Honolulu	0.126513
Utah	0.126273
Cambridge	0.126038
California	0.125557
dodger	0.124837
"Chicago Cubs"	0.123878
"Fort Worth"	0.122937
"Chicago White Sox"	0.121682
Tokyo	0.120621
brave	0.120586
Giants	0.120263
"Salt Lake City"	0.119407
ASTROS	0.117898
"West Palm Beach"	0.117046
Richmond	0.116083
Tennessee	0.116081
cub	0.116018
"Mexico City"	0.115829
Louisville	0.115828
Sox	0.115593
Tucson	0.115527
"New York Yankees"	0.114766
"White Sox"	0.113509
Rochester	0.113155
"Golden State"	0.112721
"St. Petersburg"	0.111565
mariner	0.111486
Orioles	0.111019
Sydney	0.110405
Moscow	0.110173
Phillies	0.109874
Birmingham	0.109772
Havana	0.108942
Connecticut	0.108514
BEIJING	0.108076
Syracuse	0.107874
"blue jay"	0.106482
Brooklyn	0.106452
Berlin	0.105387
city	0.10531
Charleston	0.104864
Massachusetts	0.104845
"New Haven"	0.104657
"Atlanta Braves"	0.103918
"Fort Lauderdale"	0.103788
"Little Rock"	0.10376
Lakers	0.103183
Rome	0.103071
Padre	0.102913
Worcester	0.102867
bruin	0.102805
"Cleveland Indians"	0.102509
"North Carolina"	0.102499
A's	0.102295
Virginia	0.102251
Michigan	0.102073
"Long Beach"	0.101598
"Des Moines"	0.101299
Springfield	0.10047
angel	0.100345
Dublin	0.100296
Albuquerque	0.100149
Georgia	0.100125
Manchester	0.100015
Hawaii	0.0999475
"Southern California"	0.0998945
"Los Angeles Lakers"	0.0996817
Knicks	0.0995007
"El Paso"	0.0994296
England	0.0984769
"Los Angeles Dodgers"	0.0978176
marlin	0.0977746
Vienna	0.0976291
Wilmington	0.0975896
"San Juan"	0.0974717
TRENTON	0.0971945
cardinal	0.0971686
Dayton	0.0971361
Shanghai	0.0968588
Iowa	0.0968254
Omaha	0.0967129
islander	0.096556
Arlington	0.0964305
"Hong Kong"	0.0962111
Kentucky	0.0954022
"devil ray"	0.0951079
diamondback	0.0945692
MELBOURNE	0.0938565
Pasadena	0.0931771
CAIRO	0.093015
Arkansas	0.0929512
"Tel Aviv"	0.0927355
Winnipeg	0.0927349
"New Hampshire"	0.092391
Maryland	0.0920906
town	0.0919179
ATHENS	0.0916461
Greenville	0.0916358
"St. Louis Cardinals"	0.0913681
clipper	0.0913666
"New York Giants"	0.0913047
Amsterdam	0.0912995
SEOUL	0.091168
Madrid	0.0910895
Wisconsin	0.0910591
TALLAHASSEE	0.0910449
Celtics	0.0910225
Milan	0.0909728
"Palo Alto"	0.0908462
Alabama	0.0903033
Pristina	0.0900861
"Oklahoma City"	0.0898756
Istanbul	0.0897968
Mexico	0.0897798
Berkeley	0.0894961
"Detroit Tigers"	0.0894318
"South Carolina"	0.0890017
"Santa Monica"	0.0888109
"Cape Town"	0.0886661
Royals	0.0882961
"Kuala Lumpur"	0.0881109
Bangkok	0.0880833
"Anaheim Angels"	0.0880451
Oklahoma	0.0877882
Tulsa	0.0877505
Oregon	0.0875225
"Bay Area"	0.0874394
))
("Boston Bruins" (desc 5047.77) (sims
"Vancouver Canucks"	0.235012
"Ottawa Senators"	0.226684
"San Jose Sharks"	0.209436
"Florida Panthers"	0.204079
"Calgary Flames"	0.203019
"Toronto Maple Leafs"	0.201945
"Pittsburgh Penguins"	0.20097
"Philadelphia Flyers"	0.198253
"Buffalo Sabres"	0.193362
"Dallas Stars"	0.18803
"New York Rangers"	0.18512
"New Jersey Devils"	0.184493
"Montreal Canadiens"	0.183199
"St. Louis Blues"	0.179568
"Washington Capitals"	0.178281
"New York Islanders"	0.175219
"Los Angeles Kings"	0.170594
"Tampa Bay Lightning"	0.168743
"Edmonton Oilers"	0.168708
"Chicago Blackhawks"	0.166186
"Miami Fusion"	0.161297
"Detroit Red Wings"	0.151232
"Colorado Avalanche"	0.148993
"Golden State Warriors"	0.141767
"Milwaukee Bucks"	0.139641
"Phoenix Coyotes"	0.137659
"Mighty Ducks"	0.13697
"Nashville Predators"	0.135954
"Kansas City Chiefs"	0.135441
"Orlando Magic"	0.133366
"Anaheim Mighty Ducks"	0.132741
Canuck	0.131339
"Carolina Hurricanes"	0.124967
MetroStars	0.121176
"Phoenix Suns"	0.121112
Canadiens	0.119362
"New York Liberty"	0.119101
"Los Angeles Lakers"	0.119004
"Kansas City Royals"	0.118827
"San Antonio Spurs"	0.118799
"Minnesota Twins"	0.117394
"Charlotte Hornets"	0.116035
"Chicago Fire"	0.115208
"New York-New Jersey MetroStars"	0.114902
"Detroit Lions"	0.114073
sabre	0.113999
bruin	0.113779
"Maple Leafs"	0.113391
"Miami Heat"	0.113377
"Oakland Athletics"	0.113234
"Carolina Panthers"	0.11311
"San Diego Chargers"	0.112625
"Denver Nuggets"	0.112367
"Colorado Rockies"	0.112363
"Phoenix Mercury"	0.111421
"Dallas Mavericks"	0.111415
oiler	0.111373
"Washington Wizards"	0.110651
"Buffalo Bills"	0.110377
"Washington Redskins"	0.11001
"Phenix City"	0.109887
"Houston Astros"	0.10972
"San Diego Padres"	0.109619
"Boston Celtics"	0.10945
"Milwaukee Brewers"	0.109317
"Philadelphia Eagles"	0.108923
"Sacramento Kings"	0.108894
"New York Knicks"	0.108699
"Green Bay Packers"	0.108668
"Washington Mystics"	0.107759
"Atlanta Hawks"	0.107693
"Indiana Pacers"	0.107516
"Tampa Bay Buccaneers"	0.107515
"Los Angeles Clippers"	0.107423
"Dallas Cowboys"	0.106979
"St. Louis Cardinals"	0.106312
"Cleveland Indians"	0.106255
"Houston Rockets"	0.105696
"D.C. United"	0.10551
"Red Wings"	0.105411
"Cincinnati Reds"	0.105164
"Arizona Cardinals"	0.104993
"Utah Jazz"	0.104948
"Detroit Tigers"	0.104923
"Detroit Pistons"	0.10467
Blackhawks	0.103716
"Toronto Blue Jays"	0.102402
"Montreal Expos"	0.102318
"New England Patriots"	0.101789
"Pittsburgh Pirates"	0.101416
"San Francisco Giants"	0.101351
"Indianapolis Colts"	0.101338
"Minnesota Timberwolves"	0.10133
"Los Angeles Galaxy"	0.101275
Edmonton	0.100802
"Jacksonville Jaguars"	0.100438
"New York Giants"	0.0999672
"Miami Dolphins"	0.0995091
islander	0.0992641
"Chicago Bulls"	0.0992379
"New Orleans Saints"	0.0981836
"Tampa Bay Devil Rays"	0.0977649
"New York Jets"	0.0976908
"Fighting Irish"	0.0972718
"New Jersey Nets"	0.097129
"Texas Rangers"	0.0969186
"Portland Trail Blazers"	0.0969052
"San Francisco @@ers"	0.0966628
"Arizona Diamondbacks"	0.0966609
"New York Mets"	0.0966529
"Baltimore Ravens"	0.0964439
"Philadelphia Phillies"	0.096149
"St. Louis Rams"	0.0958364
"Atlanta Thrashers"	0.0953934
"Tennessee Titans"	0.095001
"Toronto Raptors"	0.0946873
piston	0.0945581
"Seattle Mariners"	0.0943027
"Montana State"	0.0942719
"Seattle Seahawks"	0.0942292
flyer	0.0936656
"Chicago Cubs"	0.0933781
"Oakland Raiders"	0.0932447
"Denver Broncos"	0.0930059
"Minnesota Vikings"	0.0929238
ranger	0.092273
"Boston Red Sox"	0.0922459
coyote	0.0920943
"Dallas Burn"	0.0918539
"Seattle SuperSonics"	0.0916257
"Cleveland Cavaliers"	0.0914989
Timberwolves	0.0911396
"Tampa Bay"	0.0900783
Redskin	0.0897631
"Baltimore Orioles"	0.0895555
"Pittsburgh Steelers"	0.0891763
Berasategui	0.0891035
"Arnaud Di Pasquale"	0.0880027
"Chicago Bears"	0.0880018
"Cleveland Browns"	0.0877691
"Anaheim Angels"	0.0862895
Bengals	0.0859753
"Los Angeles Dodgers"	0.0855936
Carolina	0.0847405
"New York Yankees"	0.0846632
Calgary	0.084004
"blue jay"	0.0833591
"Atlanta Braves"	0.083194
Celtics	0.0831428
"Los Angeles Sparks"	0.0827976
Raptor	0.0827298
"Albert Portas"	0.0824782
"devil ray"	0.0824512
Av	0.0823284
penguin	0.0821757
panther	0.0821161
"CHARLOTTE STING"	0.0820641
"Chicago White Sox"	0.0817558
"ATLANTA FALCONS"	0.0817243
Rosenborg	0.0817074
clipper	0.0814196
Edberg	0.0811601
diamondback	0.0811126
Fiorentina	0.0810401
"Vancouver Grizzlies"	0.0808006
devil	0.0797424
gamecock	0.0794924
"White Sox"	0.0794697
Cavs	0.079171
Raoux	0.0789719
Lakers	0.0788066
Stephenville	0.078579
Montreal	0.0785595
"Oklahoma State"	0.0784338
ANAHEIM	0.0781892
"Asa Carlsson"	0.0779511
Starzz	0.0779426
Royals	0.0779396
Hawkeyes	0.0776076
Giants	0.077248
"North Carolina State"	0.0764872
Villanova	0.076357
"Jerome Golmard"	0.0763453
pacer	0.0757865
"San Jose"	0.0757626
"Colorado State"	0.075539
Wolfpack	0.0755041
Nacional	0.0755025
"Southwest Missouri State"	0.0753324
"Nevada-Las Vegas"	0.075244
"Sarah Pitkowski"	0.0745482
packer	0.0744576
"Utah State"	0.0743543
Susanti	0.0742973
"Adrian Voinea"	0.0741073
"Magdalena Maleeva"	0.0739685
"Mississippi State"	0.0739625
Pepperdine	0.0739064
"American Chanda Rubin"	0.0737155
"Joannette Kruger"	0.0736781
))
("Boston Celtics" (desc 10851.2) (sims
Celtics	0.237093
"Houston Rockets"	0.231495
"Detroit Pistons"	0.230994
"New York Knicks"	0.224343
"Chicago Bulls"	0.210558
"Los Angeles Lakers"	0.209371
"Los Angeles Clippers"	0.202274
"San Antonio Spurs"	0.201724
"Indiana Pacers"	0.196467
"Sacramento Kings"	0.194972
"Atlanta Hawks"	0.192349
"Milwaukee Bucks"	0.191195
"Washington Wizards"	0.189992
"Dallas Mavericks"	0.188518
"Phoenix Suns"	0.186926
"Utah Jazz"	0.185713
"Golden State Warriors"	0.18304
"New Jersey Nets"	0.179391
"Denver Nuggets"	0.176912
"Miami Heat"	0.176327
"Portland Trail Blazers"	0.172592
"Orlando Magic"	0.167011
"Montreal Canadiens"	0.159959
"Charlotte Hornets"	0.15929
"Minnesota Timberwolves"	0.159273
"Toronto Raptors"	0.154069
"Philadelphia Flyers"	0.152688
"Green Bay Packers"	0.151971
"Cleveland Cavaliers"	0.148027
"New York Rangers"	0.14622
"Vancouver Grizzlies"	0.145832
"Washington Redskins"	0.143704
"Chicago Bears"	0.142014
"Dallas Cowboys"	0.141432
"Toronto Maple Leafs"	0.140699
piston	0.138881
Lakers	0.136487
"Miami Dolphins"	0.136211
"Seattle SuperSonics"	0.134002
"Pittsburgh Penguins"	0.133487
"Calgary Flames"	0.132802
"Carolina Hurricanes"	0.132644
"San Francisco @@ers"	0.131475
"Buffalo Bills"	0.130872
clipper	0.130519
"Minnesota Vikings"	0.127999
"Detroit Red Wings"	0.127852
"New York Giants"	0.126413
Knicks	0.126311
"Edmonton Oilers"	0.125606
"Detroit Tigers"	0.124902
"Vancouver Canucks"	0.124531
"Cincinnati Reds"	0.123932
"Kansas City Royals"	0.12295
"New York Islanders"	0.121894
"Dallas Stars"	0.121607
"Los Angeles Kings"	0.121531
"New England Patriots"	0.121506
"Philadelphia Eagles"	0.121262
"New Orleans Saints"	0.121193
"Boston Red Sox"	0.121186
"San Diego Chargers"	0.11971
"Colorado Avalanche"	0.11827
"Kansas City Chiefs"	0.118263
"St. Louis Cardinals"	0.117507
pacer	0.117127
"Denver Broncos"	0.116636
"Indianapolis Colts"	0.116526
"Seattle Seahawks"	0.116265
Canadiens	0.115862
"Oakland Athletics"	0.115856
"Miami Fusion"	0.115644
"D.C. United"	0.114909
maverick	0.114237
"Houston Astros"	0.113857
"Cincinnati Bengals"	0.113613
"Atlanta Braves"	0.113506
"Chicago Blackhawks"	0.113421
"San Diego Padres"	0.113395
"Nashville Predators"	0.113054
"Trail Blazers"	0.112666
"San Francisco Giants"	0.112115
"Washington Capitals"	0.111912
Hornet	0.11152
"Carolina Panthers"	0.110717
"Boston Bruins"	0.10945
"Oakland Raiders"	0.109362
Timberwolves	0.10933
"Buffalo Sabres"	0.10889
"Chicago White Sox"	0.107972
"Florida Marlins"	0.107948
"Cleveland Indians"	0.107935
"Minnesota Twins"	0.107932
"Philadelphia Phillies"	0.106994
"Pittsburgh Steelers"	0.106531
BEARS	0.105999
oiler	0.105935
"Los Angeles Rams"	0.105348
bull	0.105301
"New York Jets"	0.104955
"ATLANTA FALCONS"	0.104596
"Colorado Rockies"	0.10458
"Cleveland Browns"	0.104293
"New York Mets"	0.103775
"Mighty Ducks"	0.103702
"Detroit Lions"	0.103622
"Toronto Blue Jays"	0.103422
"Golden State"	0.103237
packer	0.103229
"Los Angeles Dodgers"	0.102924
hawk	0.102867
"New York-New Jersey MetroStars"	0.102246
"Pittsburgh Pirates"	0.101955
"Seton Hall"	0.100983
"Milwaukee Brewers"	0.100899
"New York Yankees"	0.0994315
sixer	0.0994104
"Montreal Expos"	0.0992223
Supersonics	0.0986302
"Baltimore Orioles"	0.098232
"Phoenix Coyotes"	0.0980068
"Chicago Cubs"	0.0977373
Raptor	0.097724
"Seattle Mariners"	0.0973318
Redskin	0.097307
"New York Liberty"	0.0972919
"Dallas Burn"	0.0960158
"Maple Leafs"	0.0949796
Sonics	0.0949077
Steelers	0.0948626
"Tennessee Titans"	0.094743
"St. Louis Rams"	0.093958
"Texas Rangers"	0.093102
"Ottawa Senators"	0.0930085
"St. Louis Blues"	0.0928109
Canuck	0.0926867
bruin	0.0923801
Giants	0.0920958
MetroStars	0.0916733
cavalier	0.0915796
raider	0.0915066
"Fighting Irish"	0.0913917
A's	0.0913014
Orioles	0.0912617
Rutgers	0.0912387
"Green Bay"	0.0911688
nugget	0.0910628
Purdue	0.090959
"Tampa Bay Devil Rays"	0.0909325
"Tar Heels"	0.0909247
"Brooklyn Dodgers"	0.090901
Villanova	0.0906203
"Montana State"	0.0904458
"Tampa Bay Buccaneers"	0.0902871
"White Sox"	0.0901652
Eagles	0.0897959
"San Jose Sharks"	0.0894979
Pepperdine	0.0892832
"Michigan State"	0.0892485
"Baltimore Ravens"	0.0890135
flyer	0.0887981
"Florida Panthers"	0.0887895
grizzly	0.0881965
Seahawks	0.0878573
"Houston Comets"	0.0873871
sabre	0.0873105
"Phoenix Mercury"	0.0873086
"New Jersey Devils"	0.0872916
"Oklahoma State"	0.0872838
"Arizona Cardinals"	0.0870209
"Chicago Fire"	0.0869165
"Texas Tech"	0.0864526
panther	0.0863217
"Louisiana Tech"	0.0858646
spur	0.0857022
Bengals	0.085614
"Red Wings"	0.0855417
"Oregon State"	0.0854155
"Jacksonville Jaguars"	0.085237
Phillies	0.0850281
"Team USA"	0.0847782
"Boston College"	0.0846347
bronco	0.0844727
"Arizona Diamondbacks"	0.0843399
ram	0.0834574
"North Carolina State"	0.0829564
"San Diego State"	0.0829247
"Tampa Bay"	0.0823347
islander	0.0819331
cowboy	0.0819178
Portland	0.0818296
LSU	0.0812857
Indiana	0.0810486
"Washington Mystics"	0.0809598
Hawkeyes	0.080828
"Anaheim Mighty Ducks"	0.0804914
"AC Milan"	0.0804716
"Los Angeles Galaxy"	0.0802898
blazer	0.0802003
"blue jay"	0.0801819
))
("Boston College" (desc 20996.2) (sims
Rutgers	0.208883
"Notre Dame"	0.201504
"Penn State"	0.199091
"Georgia Tech"	0.198653
"Ohio State"	0.194663
Stanford	0.192384
"Arizona State"	0.190618
"Seton Hall"	0.186318
Villanova	0.186183
northwestern	0.185925
"Boston University"	0.183134
"Florida State"	0.179292
Purdue	0.178831
"Michigan State"	0.177249
"Virginia Tech"	0.175023
Princeton	0.172064
"Wake Forest"	0.171721
UCLA	0.169924
"Iowa State"	0.169554
Clemson	0.168903
"Texas Tech"	0.168748
"North Carolina State"	0.16793
USC	0.167816
Yale	0.16612
Georgetown	0.165822
"Oregon State"	0.164562
"Kansas State"	0.163524
Syracuse	0.163188
Baylor	0.161646
"Oklahoma State"	0.161408
Pepperdine	0.158934
Vanderbilt	0.158664
TCU	0.156836
LSU	0.156514
"Washington State"	0.155538
Duke	0.15415
"Louisiana Tech"	0.152893
"University of Connecticut"	0.152716
BC	0.151569
"Mississippi State"	0.151167
BYU	0.150151
"San Jose State"	0.149667
"University of Texas"	0.148358
"University of Georgia"	0.14823
"University of Michigan"	0.147231
"Cal State Northridge"	0.14672
Harvard	0.146346
"San Diego State"	0.146151
UNLV	0.14498
"University of Houston"	0.143963
"University of Kansas"	0.142702
Dartmouth	0.1427
"New York University"	0.139779
SMU	0.139368
"Yale university"	0.139022
"University of Massachusetts"	0.138462
"University of Washington"	0.137213
"Princeton University"	0.135934
"University of Florida"	0.134916
"University of Southern California"	0.131939
"Northwestern University"	0.131729
"University of Virginia"	0.131665
"University of Miami"	0.131394
CSUN	0.130071
UConn	0.130066
Nebraska	0.130012
Tennessee	0.129567
"Brigham Young"	0.129529
"University of Chicago"	0.128834
Gonzaga	0.128806
"Colorado State"	0.127688
Tulane	0.127246
"Fresno State"	0.127232
"University of Wisconsin"	0.126589
"Syracuse University"	0.126119
Cal	0.125323
"Duke University"	0.125154
"University of Maryland"	0.125044
"New Mexico State"	0.124891
"Stanford University"	0.124721
Kentucky	0.124584
ASU	0.124377
"Long Beach State"	0.123796
"Brown University"	0.123699
"University of Minnesota"	0.123402
"Georgetown University"	0.123384
Cornell	0.123322
Auburn	0.122036
"University of North Carolina"	0.121747
MIT	0.121172
"N.C. State"	0.12108
"University of Kentucky"	0.120583
"University of Oklahoma"	0.119907
"New York Jets"	0.119128
Wisconsin	0.118995
"Holy Cross"	0.118796
northeastern	0.118679
"West Virginia"	0.116717
"American University"	0.116628
"St. John"	0.116549
"University of South Carolina"	0.116228
Oklahoma	0.116061
"Columbia University"	0.115892
Alabama	0.115797
"Tar Heels"	0.115234
"East Carolina"	0.114696
Indiana	0.114582
"Harvard University"	0.114112
"Harvard Law School"	0.11298
Fordham	0.112957
Hofstra	0.112862
"Williams College"	0.112334
"Smith College"	0.112098
UMass	0.111946
Xavier	0.111874
"Fordham University"	0.111805
"Catholic University"	0.11171
"Georgia Southern"	0.11132
"Ohio State University"	0.111173
"University of Tennessee"	0.111057
"Southern Cal"	0.110503
"Southwest Missouri State"	0.110467
tech	0.109353
"Arkansas State"	0.109352
"Harvard Business School"	0.109229
Oregon	0.109152
"North Carolina"	0.108986
"Louisiana State University"	0.108281
Kansas	0.108206
"Green Bay"	0.108014
"Emory University"	0.10797
"University of Colorado"	0.107558
"UC Berkeley"	0.10701
"Howard University"	0.10675
"Southern Mississippi"	0.106652
Eagles	0.106507
UT	0.106144
"Old Dominion"	0.105832
"Northeastern University"	0.105717
Miami	0.105588
Minnesota	0.105272
"Minnesota Vikings"	0.105154
"Vanderbilt University"	0.105149
"Dallas Cowboys"	0.104021
"Yale Law School"	0.104011
"City College"	0.103835
ou	0.103591
"Indiana University"	0.103329
"Cornell University"	0.103157
"Utah State"	0.103042
wildcat	0.102937
"Appalachian State"	0.102589
"Buffalo Bills"	0.102354
"Rutgers University"	0.10232
"Montana State"	0.10142
"University of Missouri"	0.101316
Tulsa	0.100967
Brandeis	0.100655
Pittsburgh	0.100097
"Dartmouth College"	0.0996178
Maryland	0.0995264
Michigan	0.0994428
"Boise State"	0.0993928
"George Washington University"	0.0992967
Louisville	0.0990414
"Chicago Bears"	0.0988929
"Ball State"	0.0987449
"Amherst College"	0.0987242
"New York Giants"	0.0984626
OSU	0.0984156
Arizona	0.098136
"Massachusetts Institute of Technology"	0.098106
"Tampa Bay"	0.0980819
"Philadelphia Eagles"	0.097742
"West Point"	0.0976768
Utah	0.0976404
"Louisiana State"	0.0972864
"University of Iowa"	0.0972728
DePaul	0.0971529
Sooners	0.0971297
Sorbonne	0.0971
"Denver Broncos"	0.0968474
"Rice University"	0.0966645
"University of New Hampshire"	0.0966645
"Barnard College"	0.0962396
MetroStars	0.0958799
Hawkeyes	0.0957013
"University of Dayton"	0.0956429
gamecock	0.0956306
BEARS	0.095474
"University of Pittsburgh"	0.0952005
UGA	0.0951552
Colorado	0.095065
"University of Rhode Island"	0.0949374
Gators	0.0949061
Redskin	0.0947845
"University of Pennsylvania"	0.0946452
"Georgia State University"	0.0944717
"Brigham Young University"	0.0940952
NAU	0.0939538
))
("Boston Common" (desc 1133.91) (sims
"National Mall"	0.126922
"South Lawn"	0.087649
Esplanade	0.0842007
"third line"	0.0753951
"Dead Sea"	0.0732899
"Court @"	0.0708776
frontlines	0.0636372
"Bay Bridge"	0.0528047
Seine	0.0517585
"railroad track"	0.0496531
"Ohio River"	0.0494196
"East River"	0.0486281
"second line"	0.0482015
"Adriatic Sea"	0.0477056
"Delaware River"	0.0474829
"United Press International"	0.0467622
"parade ground"	0.0466423
"Victoria Harbor"	0.046312
crutch	0.0460023
"New Jersey Turnpike"	0.0459909
"Missouri River"	0.0458612
"Nike Tour"	0.0440706
"high wire"	0.0440132
"Union Square"	0.0438895
"Long Island Sound"	0.0431136
"Pennsylvania Avenue"	0.0430826
turnpike	0.0428727
"basketball court"	0.0425777
"Interstate @@@"	0.0423163
"Demilitarized Zone"	0.0415568
"Southern Ocean"	0.0415504
Rhine	0.0413882
Shabbat	0.0412406
"Dallas-Fort Worth"	0.041187
rostrum	0.0404851
"Potomac River"	0.0404696
"Green Line"	0.0403671
Rubicon	0.0402193
))
("Boston Garden" (desc 2103.55) (sims
"Market Square Arena"	0.165811
"Miami Arena"	0.13046
Alamodome	0.12589
"Ebbets Field"	0.123426
FleetCenter	0.12011
"Joe Louis Arena"	0.119158
"Delta Center"	0.119085
"Soldier Field"	0.113897
"Candlestick Park"	0.107812
"Madison Square Garden"	0.103746
"Marine Midland Arena"	0.103352
"Conseco Fieldhouse"	0.100812
"Reunion Arena"	0.0989309
"Maple Leaf Gardens"	0.0976487
"Continental Airlines Arena"	0.0948373
"Mile High Stadium"	0.0945465
"Compaq Center"	0.0944768
"United Center"	0.0934562
"Georgia Dome"	0.0912467
"Devil Stadium"	0.0865812
Astrodome	0.0864939
"Memorial Stadium"	0.0864151
Metrodome	0.083081
"Continental Arena"	0.0820066
"Pac Bell Park"	0.0819424
"Wrigley Field"	0.0817594
Fenway	0.0809674
"Nassau Coliseum"	0.0803047
"Polo Grounds"	0.0801967
"Turner Field"	0.0766899
"Comiskey Park"	0.0753326
"RCA Dome"	0.0744013
"Fenway Park"	0.0738774
Kingdome	0.0733802
"Shea Stadium"	0.0729845
"Staples Center"	0.0714597
"Pennsylvania Station"	0.0703518
"Pauley Pavilion"	0.0702327
Superdome	0.0699721
"America West Arena"	0.0697733
"Pepsi Center"	0.0696351
"Lambeau Field"	0.0692269
"MCI Center"	0.0689037
"Kyle Field"	0.0688454
"Camden Yards"	0.0675519
"Veterans Stadium"	0.066057
"Rivers Stadium"	0.0654972
Roxy	0.0650511
"Cotton Bowl"	0.0647122
"Foxboro Stadium"	0.0637978
"Giants Stadium"	0.0625531
Stormont	0.0611484
"Civic Arena"	0.0598341
KeyArena	0.0593951
"Jacobs Field"	0.0589656
"Coors Field"	0.0589561
"First Union Center"	0.0581607
"Philips Arena"	0.0573762
"sports arena"	0.0567745
"Alamo Bowl"	0.0565138
"major league season"	0.0563962
"Southwest Conference"	0.0561952
"Busch Stadium"	0.0560344
"National League East"	0.0556651
"Great Western Forum"	0.0555298
"Red Star"	0.0555158
"Canadian Football League"	0.054776
"rose garden"	0.0537761
"U.S. Senior Open"	0.0529993
parquet	0.0525261
"Texas Stadium"	0.0524367
"Dodger Stadium"	0.0521211
"Fleet Center"	0.0519903
"World Basketball Championship"	0.0518466
"Safeco Field"	0.051787
"Symphony Hall"	0.0515372
"Comerica Park"	0.0513025
"Sanford Stadium"	0.0512807
Omni	0.0512025
"batter's box"	0.050981
afterburner	0.0503466
"County Stadium"	0.050129
Meadowlands	0.0499214
"Berlin Wall"	0.0495193
speakeasy	0.0494604
"Kiel Center"	0.0493862
"Fiesta Bowl"	0.0492154
"NBA Finals"	0.0491546
"Tropicana Field"	0.0490557
Coliseum	0.0490022
"Trans World Dome"	0.0489889
Foxborough	0.0486364
"Fed Cup"	0.0485267
Salerno	0.0482238
"Kickoff Classic"	0.0479458
Foxboro	0.0476298
linoleum	0.0474753
"NFC Championship Game"	0.0473741
"Western Conference Finals"	0.0471933
chairlift	0.0468925
"Olympic Stadium"	0.0464824
"Arthur Ashe Stadium"	0.0462492
"sugar bowl"	0.0460243
"All-Star Games"	0.0458229
Blondie	0.0451014
"East Rutherford"	0.0449745
"Tokyo Dome"	0.0449462
"Fighting Irish"	0.044839
"AFC Championship Game"	0.0445158
pimpernel	0.0442506
Deerfield	0.0441592
"assembly hall"	0.0439405
Hildegard	0.0439084
regionals	0.0434964
Storrs	0.0432476
"Orange Bowl"	0.0430224
"extra inning"	0.0428257
"iron curtain"	0.0426744
"Confederations Cup"	0.0426615
"Loyola Marymount"	0.0426055
"Enron Field"	0.0425982
"Little League World Series"	0.0425742
"tennis club"	0.0425391
Monterrey	0.04224
DSE	0.0422146
plasterboard	0.0420795
"Kai Tak Airport"	0.0420097
"Olympic Village"	0.0417692
"Texas Senate"	0.0412269
lev	0.0412205
CWS	0.0411408
"Pacific Bell Park"	0.0409112
"Brunei Darussalam"	0.040851
Mannheim	0.0407003
"mental hospital"	0.0406994
"Copa America"	0.0405218
"concert hall"	0.0404887
"four nights"	0.0400284
))
("Boston Globe" (desc 18783.6) (sims
"Los Angeles Times"	0.296442
"Washington Post"	0.272033
"Wall Street Journal"	0.252701
"Chicago Tribune"	0.249104
"USA TODAY"	0.242233
"New York Post"	0.238586
"Dallas Morning News"	0.232553
"New York Times"	0.230982
"Fort Worth Star-Telegram"	0.221496
"Arizona Republic"	0.219893
"Washington Times"	0.218248
"Atlanta Journal-Constitution"	0.215756
"Houston Chronicle"	0.212484
Star-Telegram	0.204014
"New York Daily News"	0.198648
Newsday	0.192332
Haaretz	0.19124
"Kansas City Star"	0.189301
Newsweek	0.185441
"San Francisco Chronicle"	0.185345
"Financial Times"	0.183224
"Philadelphia Inquirer"	0.180113
"Daily News"	0.179354
"Miami Herald"	0.17869
globe	0.175469
"Denver Post"	0.174432
Times	0.173067
"Village Voice"	0.165086
"New York Observer"	0.164901
"International Herald Tribune"	0.160783
Star-Ledger	0.156267
"San Francisco Examiner"	0.156141
"Boston Herald"	0.155452
"Associated Press"	0.155122
"San Antonio Express-News"	0.152784
"San Jose Mercury News"	0.152049
"Austin American-Statesman"	0.148313
"Cox Newspapers"	0.143918
"Chicago Sun-Times"	0.142798
"Detroit News"	0.139241
"Daily Telegraph"	0.137285
chronicle	0.135073
"Seattle Times"	0.134624
"Sydney Morning Herald"	0.133936
"Palm Beach Post"	0.133875
"Des Moines Register"	0.132371
"Atlantic Monthly"	0.131769
"Detroit Free Press"	0.130535
"St. Louis Post-Dispatch"	0.126703
"Bloomberg News"	0.126696
"Atlanta Constitution"	0.124723
newspaper	0.121131
"Le Monde"	0.119668
"New York Times Magazine"	0.119456
"Le Figaro"	0.119351
"Straits Times"	0.119273
"New Republic"	0.117624
"Jerusalem Post"	0.116676
"Sports Illustrated"	0.113748
"Dow Jones Newswires"	0.113429
"Seattle Post-Intelligencer"	0.11257
telegraph	0.10958
"Cincinnati Enquirer"	0.109113
tribune	0.108873
Herald	0.108338
"Orange County Register"	0.10781
"Hollywood Reporter"	0.107732
"Rolling Stone"	0.107305
"National Journal"	0.107267
"Hartford Courant"	0.106519
journal	0.106432
magazine	0.104283
Post-Intelligencer	0.103947
Reuters	0.103738
"Los Angeles Daily News"	0.102466
"New York Herald Tribune"	0.102117
"Business Week"	0.10192
"New England Journal"	0.101698
"World Report"	0.100073
"Daily Mail"	0.0988783
"South China Morning Post"	0.0984361
"Business Times"	0.0982859
"Cox News Service"	0.097126
"CBS News"	0.0967728
tabloid	0.0966859
IRNA	0.0963074
Reforma	0.0960791
"Dayton Daily News"	0.0954985
"ABC News"	0.0952518
Maariv	0.0949371
"vanity fair"	0.0944345
"Advertising Age"	0.0940977
"El Pais"	0.0936074
BBC	0.0935326
Granma	0.0922151
Kommersant	0.0920397
CNN	0.0907343
"New Straits Times"	0.0901865
"TV guide"	0.0899113
"Der Spiegel"	0.0896856
Esquire	0.087637
examiner	0.0875158
"Macao Daily News"	0.0870023
"National Post"	0.0868757
"Guangming Daily"	0.0853856
al-Hayat	0.0847434
weekly	0.0844368
TheStreet.com	0.0820624
"Yediot Ahronot"	0.0810276
"U.S. News"	0.0792616
"news service"	0.0786911
"Koha Ditore"	0.0784792
Inquirer	0.0783835
"Entertainment Weekly"	0.0778065
Guardian	0.0776132
"Radio Liberty"	0.0771197
"New Vision"	0.0762425
Bild	0.0761004
Lancet	0.0760434
JAMA	0.0756089
"Israel Radio"	0.0754889
"Zimbabwe News Agency"	0.0752278
Sowetan	0.0752153
"United Press International"	0.0748135
"Xinhua News Agency"	0.0743307
"China Daily"	0.0742046
salon	0.0741312
"NBC News"	0.0739883
Enquirer	0.0736181
"Al Hayat"	0.0730315
slate	0.0728325
"Tehran Times"	0.0724727
"New Yorker"	0.0720228
"Moscow Times"	0.0717473
"Consumer Reports"	0.0712532
"Weekly Standard"	0.0710932
Oregonian	0.0703705
"British Broadcasting Corp."	0.0702655
"Bangkok Post"	0.0699288
gazette	0.069831
pi	0.0696904
Noticias	0.0694201
"Free Press"	0.0691526
"National Enquirer"	0.0690823
"Ethiopian Herald"	0.0690389
Izvestia	0.0682881
Salon.com	0.0675199
"Business Weekly"	0.067469
"Hearst Newspapers"	0.0673359
Tennessean	0.0671812
"roll call"	0.0669058
"American Journal"	0.0664991
"Iran News"	0.0664346
"Cable News Network"	0.0661458
"Asahi Shimbun"	0.0659117
"Atlanta Journal"	0.0658456
"Financial Mail"	0.0649969
"National Public Radio"	0.0638612
"TV station"	0.0637284
CNBC	0.0637267
newsletter	0.0635835
"Business Day"	0.0631078
publication	0.0628218
"Alam Al Yom"	0.0628175
"New York Times Book Review"	0.0625968
"British Broadcasting Corporation"	0.0620937
"Agence France Presse"	0.0618087
"Al Ahram"	0.0609393
"New Light"	0.060564
"Zambia Daily Mail"	0.0603047
vogue	0.060299
"Kuwait News Agency"	0.0602426
"El Mundo"	0.0602038
"Vietnam News"	0.0598388
"Egyptian Gazette"	0.0596456
"Jakarta Post"	0.0594934
Journal-Constitution	0.0593506
"Kenya Times"	0.0591672
Antara	0.0590673
"Daily Nation"	0.0587644
"East African Standard"	0.0587345
AP	0.0586169
"Yomiuri Shimbun"	0.0584622
"Wear Daily"	0.0584199
"China Daily Business Weekly"	0.0583613
"news media"	0.0582978
Asahi	0.0582515
"Associated Press of Pakistan"	0.0582268
"Middle East News Agency"	0.0581323
"tabloid newspaper"	0.0580208
"wire service"	0.0577177
frontpage	0.0577148
Hurriyet	0.057326
"Turkish Daily News"	0.0572325
Xinhua	0.0571893
"Post Express"	0.057162
Malaya	0.0570629
"television station"	0.0570027
"Saudi Press Agency"	0.056992
Salam	0.0568654
))
("Boston Harbor" (desc 2048.39) (sims
"New York Harbor"	0.123914
"Dianchi Lake"	0.0965094
"San Francisco Bay"	0.0957371
"Hudson River"	0.0954464
"Long Island Sound"	0.0939265
Seine	0.088139
"English Channel"	0.0860271
PCB	0.0860055
"Potomac River"	0.0854203
"East River"	0.0810685
"South Atlantic"	0.0784278
"Lijiang River"	0.0738142
"Lake Okeechobee"	0.0735381
"Huaihe River"	0.070729
"Dead Sea"	0.0706659
Hudson	0.0665159
"Lake Erie"	0.0660372
"Bay Bridge"	0.064342
"Sea of Japan"	0.0618028
Nile	0.0604179
Alma	0.0599002
"Adriatic Sea"	0.0596513
"Golden Gate Bridge"	0.0585022
"Mediterranean Sea"	0.0584074
Everglades	0.0577823
Aegean	0.0571167
"ground water"	0.0562843
Cove	0.0558334
"Puget Sound"	0.0557217
groundwater	0.0556727
Galapagos	0.0547483
"toxic waste"	0.0538561
"Grand Canal"	0.0533452
"Lake Michigan"	0.0525872
lagoon	0.0525433
"Danube River"	0.0519066
brownfields	0.0515413
"Taihu Lake"	0.0514327
"red-light district"	0.0513033
"West Lake"	0.0509983
Colosseum	0.0506187
"Everglades National Park"	0.0504315
"tax advantage"	0.0487095
"Delaware River"	0.0485623
Presidio	0.0484081
endoscope	0.0474793
"Florida Straits"	0.047438
Danube	0.0471422
"Bay of Bengal"	0.0464251
"Victoria Harbor"	0.0454051
"Mojave Desert"	0.0448773
"British Isles"	0.0448459
"South Pacific"	0.0447726
hand-me-down	0.0445713
"North Atlantic"	0.043932
"Erie Canal"	0.0438074
"North Sea"	0.0437364
"Arctic Ocean"	0.0436048
"United States Congress"	0.0432598
Marina	0.0431697
seven-day	0.0431336
"skating rink"	0.0429736
tailpipe	0.0427255
Hirohito	0.0425003
"Barents Sea"	0.0421679
"Lake Tahoe"	0.0418446
"human waste"	0.0416594
"Aegean Sea"	0.0408025
"Yellow Sea"	0.0400621
"Missouri River"	0.0400579
"Western Wall"	0.0400451
))
("Boston Herald" (desc 2447.36) (sims
"Washington Times"	0.293976
"Seattle Times"	0.246782
"New York Daily News"	0.238949
"New York Post"	0.228275
"Miami Herald"	0.227352
"Chicago Tribune"	0.226516
"Dallas Morning News"	0.222643
"Business Times"	0.21638
"Detroit News"	0.21395
"Los Angeles Times"	0.205402
"Denver Post"	0.204501
Haaretz	0.204004
"Wall Street Journal"	0.20241
"Houston Chronicle"	0.199788
"United Press International"	0.19803
"Washington Post"	0.195089
"Des Moines Register"	0.194622
"Sydney Morning Herald"	0.18937
"Straits Times"	0.187207
"Arizona Republic"	0.185335
"San Francisco Chronicle"	0.183491
"USA TODAY"	0.183234
"Daily Telegraph"	0.182207
"Daily News"	0.17735
Newsday	0.168995
"Le Figaro"	0.166647
"El Pais"	0.166213
"Village Voice"	0.162962
"Philadelphia Inquirer"	0.161673
"Le Monde"	0.161385
Newsweek	0.161363
"Bloomberg News"	0.158479
"Boston Globe"	0.155452
Post-Intelligencer	0.154944
"Cincinnati Enquirer"	0.153583
Maariv	0.150627
"New York Observer"	0.149077
Granma	0.148195
"Financial Times"	0.145167
"Detroit Free Press"	0.144437
"New Straits Times"	0.14143
"Yediot Ahronot"	0.139751
"Daily Mail"	0.139182
"New York Times"	0.137749
"Moscow Times"	0.136598
"Macao Daily News"	0.134787
"International Herald Tribune"	0.132976
Reforma	0.131569
"South China Morning Post"	0.131314
"San Jose Mercury News"	0.128417
"Chicago Sun-Times"	0.128018
"San Francisco Examiner"	0.127543
"St. Louis Post-Dispatch"	0.127057
"Austin American-Statesman"	0.124655
"Atlanta Journal-Constitution"	0.123819
Kommersant	0.123783
Herald	0.123557
"San Antonio Express-News"	0.121609
MTI	0.12122
"New York Times Magazine"	0.119808
"Ghana News Agency"	0.11904
"Kansas City Star"	0.118713
"Ethiopian Herald"	0.118626
"Sports Illustrated"	0.115748
"Yomiuri Shimbun"	0.115553
"Nihon Keizai"	0.114997
"New Nigerian"	0.11396
Star-Ledger	0.113858
"Daily Times"	0.113318
"Post Express"	0.11322
"Der Spiegel"	0.113139
Times	0.112354
"Palm Beach Post"	0.1123
"Jerusalem Post"	0.111331
Reuters	0.11115
"Hartford Courant"	0.110869
L'Equipe	0.110815
"Dow Jones Newswires"	0.110685
Sowetan	0.110342
Tass	0.110253
"Guangming Daily"	0.109408
Enquirer	0.108274
tabloid	0.107898
"Egyptian Middle East News Agency"	0.106469
al-Hayat	0.10643
"Atlantic Monthly"	0.105911
telegraph	0.105694
"Saudi Press Agency"	0.105016
Lusa	0.104526
"Indonesian Observer"	0.104375
"Associated Press"	0.104129
Sera	0.104035
"Orange County Register"	0.103927
"TV guide"	0.103659
Antara	0.102198
"New England Journal"	0.102006
"Financial Mail"	0.10136
Lancet	0.101336
"Al Hayat"	0.100953
"Agence France Presse"	0.100306
"El Mundo"	0.100173
"Atlanta Constitution"	0.0997641
"Hollywood Reporter"	0.0995983
"Business Weekly"	0.0994248
Ansa	0.0991681
"Nihon Keizai Shimbun"	0.0991671
"Kyodo News Service"	0.0979114
"Zimbabwe News Agency"	0.0978431
"Jakarta Post"	0.0977301
"The Monitor"	0.0976173
"Hearst Newspapers"	0.09759
Notimex	0.097455
"ABC News"	0.0973748
"Al Ahram"	0.0968771
"NBC News"	0.0968168
Malaya	0.0964257
Asahi	0.0964176
"U.S. Labor Department"	0.0963069
"Korean Central News Agency"	0.0957229
"Tehran Times"	0.0953945
Hurriyet	0.0953323
Inquirer	0.0951714
"Business Day"	0.0950977
"Iran News"	0.0950104
"New Republic"	0.0948408
ESPN.com	0.0947763
"Egyptian Gazette"	0.0946497
"Kyodo News"	0.0945894
ATA	0.0944889
"Kathmandu Post"	0.0944879
"Cyprus News Agency"	0.0942977
"National Journal"	0.0940128
"East African Standard"	0.0940121
"Cox Newspapers"	0.0931032
"Rwanda News Agency"	0.0930906
Izvestia	0.0930061
Noticias	0.0926607
"Koha Ditore"	0.0925297
"American Journal"	0.0919608
"Fort Worth Star-Telegram"	0.091871
"Kuwait News Agency"	0.0916621
"Southern African Broadcasting Association"	0.0910755
"Daily Nation"	0.0907321
"Zambia News Agency"	0.0905943
"vanity fair"	0.0905397
gazette	0.0904563
Kyodo	0.0903411
"Asahi Shimbun"	0.0897521
IRNA	0.0887234
"National Post"	0.0874015
"Kenya Times"	0.0873476
WAM	0.0868959
KPL	0.0857206
AFP	0.0849229
"Advertising Age"	0.0848378
"British Broadcasting Corporation"	0.0848038
"Thai News Agency"	0.0844903
"Bangkok Post"	0.0843189
BS	0.0839954
"Vietnam News"	0.0838246
"CBS News"	0.0837512
"Seattle Post-Intelligencer"	0.0835609
"Alam Al Yom"	0.0835055
"Daily Star"	0.0833433
pi	0.0826088
"Cox News Service"	0.082565
"Turkish Daily News"	0.0818809
"China Daily Business Weekly"	0.0818526
"New Vision"	0.0817666
ABS-CBN	0.081761
Bild	0.0817509
"Israel Radio"	0.0816862
"U.S. News"	0.0805
"Fox Sports News"	0.080389
"wire service"	0.0800972
Petra	0.0799713
"Business Week"	0.0799287
Angop	0.0797316
"Ethiopian News Agency"	0.0796228
"news service"	0.0795545
"Voice of America"	0.0794045
Al-Ahram	0.0792811
tribune	0.0783501
Spiegel	0.0780994
APA	0.0779864
Bernama	0.0774768
CTV	0.0770257
"Australian Associated Press"	0.0768927
"The New Vision"	0.0767647
"China Daily"	0.0766313
SSB	0.0765779
"Philippine News Agency"	0.0764873
"National Association of Realtors"	0.0761426
"Khaleej Times"	0.0761149
"Xinhua News Agency"	0.0753013
"Cable News Network"	0.0751233
CNN/SI	0.0748975
Salam	0.0747879
"Agence France-Presse"	0.0746759
"Associated Press of Pakistan"	0.0744951
))
("Boston Marathon" (desc 5465.58) (sims
"New York City Marathon"	0.276673
"London Marathon"	0.2235
marathon	0.147781
"Indy @@@"	0.145455
"Santa Anita Derby"	0.141732
"Daytona @@@"	0.139947
"Kentucky Derby"	0.138948
"Gold Cup"	0.133656
"Brickyard @@@"	0.129534
"British Open"	0.121052
"PGA Championship"	0.120117
"Belmont Stakes"	0.120054
Giro	0.119668
"European Cup"	0.115344
"US Open"	0.115154
"College World Series"	0.111342
"U.S. Amateur"	0.110452
Derby	0.108944
"Winston Cup"	0.107178
"Japan Open"	0.104765
Preakness	0.103894
"Davis Cup"	0.103448
Iditarod	0.102469
"Tour Championship"	0.102414
"Australian Open"	0.102189
Masters	0.101699
slalom	0.100763
Maurier	0.100334
"U.S. Open"	0.100074
"French Open"	0.0993501
"Arkansas Derby"	0.0993201
"Asian Cup"	0.099014
"Pepsi @@@"	0.0979633
triathlon	0.0974443
"Tour de France"	0.0964621
"Cup Juvenile"	0.0962931
"Home Run Derby"	0.0951932
"triple crown"	0.0950016
"Commonwealth Games"	0.0945077
"Jim Dandy"	0.0944705
"Kentucky Oaks"	0.0939293
"Florida Derby"	0.0930156
"first cup"	0.0926019
"Tony Awards"	0.0923079
Belmont	0.0922307
"Canadian Open"	0.0919295
"Pan Am Games"	0.0915137
tourney	0.0905421
"Wood Memorial"	0.0904204
"Dubai World Cup"	0.0902097
"Louisiana Derby"	0.089894
"National Book Award"	0.0883029
"Tony Award"	0.087851
Heptathlon	0.0874288
"Atlanta Olympic Games"	0.0871436
"Pan American Games"	0.0869759
"World University Games"	0.0862318
Emmy	0.0860695
Super-G	0.0859578
"Stanley Cup"	0.0857407
"Big Sky Conference"	0.0856648
"Pacific Classic"	0.0850997
"U.S. Senior Open"	0.0849983
"Champions Cup"	0.0849174
Wimbledon	0.0849139
"Preakness Stakes"	0.0846671
"Western Open"	0.0844097
Olympics	0.084179
"NBA Finals"	0.0841063
"Cannes Film Festival"	0.0837212
steeplechase	0.0837169
"Cy Young Award"	0.0835857
"Blue Grass"	0.0831423
"spelling bee"	0.0828255
"Nobel prize"	0.0817755
"Fed Cup"	0.0813834
"Olympic Games"	0.0811774
"Grand Prix"	0.0809482
"AL Central"	0.0809482
"Players Championship"	0.0797572
"World Cup"	0.0796119
"Olympic Trials"	0.0795238
"European Champions Cup"	0.0792488
"Fiesta Bowl"	0.0791194
IRL	0.0790401
"Pan Ams"	0.0790312
game.	0.0785585
Heisman	0.0784968
"Asian Games"	0.0782736
"Super Bowl"	0.0781308
Futurity	0.0780077
"Academy Awards"	0.0779694
"FA Cup"	0.0778852
"Earth Day"	0.0778716
"All-Star Game"	0.0778029
"Central Division"	0.0770981
Ironman	0.0765775
"Le Mans"	0.0765312
"Grand National"	0.0764254
"Phoenix Open"	0.0759125
"Eclipse Award"	0.0756493
PGA	0.07552
"Atlanta Games"	0.0754327
"Winning Colors"	0.0748476
"Buick Classic"	0.0748148
"European Championship"	0.0747588
downhill	0.0747246
inaugural	0.0741332
"Maurier Open"	0.073975
"F.A Cup"	0.0738682
"MLS Cup"	0.0738192
"Little League World Series"	0.0736752
"Santa Anita Handicap"	0.073403
"West Regional"	0.0733422
Brickyard	0.0730865
"Gold Glove"	0.0730797
"World AIDS Day"	0.0730531
"Sydney Games"	0.0730232
"World Junior Championships"	0.0729604
"NCAA Tournament"	0.0729254
"AFC East"	0.0728263
"Copa America"	0.072749
"Busch Grand National"	0.0727368
"Italian Open"	0.0727306
Emmys	0.0726574
"Atlanta Olympics"	0.0726112
backstroke	0.0725721
"NFC East"	0.0720968
"three-day event"	0.0720188
NLCS	0.0719675
Travers	0.0716336
"Busch Series"	0.0714001
top-@@	0.071092
"World Series"	0.0710224
"Sydney Olympics"	0.0707335
"League Cup"	0.0706458
Paralympics	0.0704143
"Emmy Award"	0.0703266
Grammy	0.0702798
"SEA Games"	0.0699135
"Academy Award"	0.0696716
"European Championships"	0.0694688
breaststroke	0.0694553
"Pulitzer Prize"	0.0692113
"Dinah Shore"	0.0684243
"round robin"	0.068153
"American League West"	0.0678889
"Winter Olympic Games"	0.0675295
men's	0.0674439
Grammys	0.0673665
"X Games"	0.0673097
"boat race"	0.0672064
regatta	0.0668302
"National League Central"	0.0668049
"Emmy Awards"	0.0667804
"World Championships"	0.0667167
"United States Open"	0.0666997
"SEC East"	0.066645
"U.S. Opens"	0.0665847
"Louis Vuitton Cup"	0.0662084
pageant	0.0659992
NCAA	0.0659191
Asiad	0.0658701
"Hong Kong Open"	0.0658586
Opens	0.0658395
"Grammy Awards"	0.0658046
"governor's race"	0.0657634
"NL West"	0.0656929
"Summer Olympics"	0.0656887
"Libertadores Cup"	0.0655882
"Atlantic Coast Conference"	0.0652146
"Top Fuel"	0.0651428
NHRA	0.0648904
spacewalk	0.0648719
nit	0.0647519
Indy	0.0645133
A.L.	0.0644937
freestyle	0.0644807
"Nobel Peace Prize"	0.0643086
"Big Sky"	0.0640897
"British Opens"	0.0640134
"Cup Classic"	0.0639831
"UEFA Cup"	0.0639793
Busch	0.0638503
"grand slam"	0.0637072
"sugar bowl"	0.0636792
"African Nations Cup"	0.0635846
"Heisman Trophy"	0.0633632
"Peach Bowl"	0.0633186
"Barcelona Games"	0.0632501
"African Cup"	0.0630186
pennant	0.0630002
"ATP Tour"	0.0627292
"shot put"	0.0626717
"Grand Slam Cup"	0.0624352
"Sundance Film Festival"	0.0624235
"PGA Tour"	0.0623781
"World Cups"	0.0623172
"Goodwill Games"	0.0621744
"National Invitation Tournament"	0.0621415
))
("Boston Pops" (desc 1332.56) (sims
"Cleveland Orchestra"	0.156745
"Boston Symphony Orchestra"	0.150699
"Boston Symphony"	0.115213
"Berlin Philharmonic"	0.103918
ASO	0.103673
"New York Philharmonic"	0.0945249
BSO	0.090668
"Vienna Philharmonic"	0.0864412
"Philadelphia Orchestra"	0.0796481
"symphony orchestra"	0.0777199
mariachi	0.0770496
"theatrical performance"	0.0738513
blowfish	0.0733512
"Mariah Carey"	0.0710334
klezmer	0.0665874
Monkees	0.0645658
Phish	0.0644199
"musical theater"	0.0643002
"City Ballet"	0.0619695
"Spice Girls"	0.0613819
Eurythmics	0.0613342
Haydn	0.0610886
"chamber music"	0.060877
"Pearl Jam"	0.0597039
"Black Sabbath"	0.057725
cookout	0.0574306
"Andrea Bocelli"	0.0570712
"Grateful Dead"	0.055845
"Van Halen"	0.0555705
"Natalie Cole"	0.0545
PBA	0.0532758
"Smashing Pumpkins"	0.052907
"electric light"	0.0524388
Walt	0.051719
"Solomon R. Guggenheim Museum"	0.0516965
"Dave Matthews"	0.0506885
R.E.M	0.0502037
Ellington	0.0499083
Cliburn	0.0497199
"Dave Matthews Band"	0.0493138
"New York City Ballet"	0.0492821
"Philadelphia Museum of Art"	0.0488337
world-famous	0.0485008
"ballet company"	0.0479251
pinch-hitters	0.0478037
"jazz band"	0.0477453
"brass band"	0.0477307
"honor guard"	0.0469801
"Housing Authority"	0.0467176
"Benny Goodman"	0.0465826
Yoakam	0.046417
"Metropolitan Museum"	0.0458393
"Radio City"	0.045755
"blue angel"	0.0455271
"Elton John"	0.0453418
bagpiper	0.0452307
"N Sync"	0.0449707
"musical group"	0.0446377
"petrol bomb"	0.044532
"Kennedy Center"	0.0441576
"Underground Railroad"	0.0439437
Flockhart	0.0438795
"Ozzie Guillen"	0.0437093
"Lilith Fair"	0.0430456
Peoples	0.0426694
"big band"	0.0426435
"Congressional Black Caucus"	0.042481
Polgar	0.0423995
"George Michael"	0.0423752
"Clint Black"	0.0423204
"Michael Bolton"	0.0422464
juggler	0.0420285
Mahler	0.041858
Lobos	0.0416647
"jam session"	0.0416476
merengue	0.0416474
"Tina Turner"	0.0413998
"E Street Band"	0.0411943
sought-after	0.0407294
Cleese	0.0404841
"water fountain"	0.0403153
"Lauryn Hill"	0.0403128
EPR	0.040185
GMA	0.0401686
"Human Rights Commission"	0.0401091
))
("Boston Red Sox" (desc 19697) (sims
"Cleveland Indians"	0.324027
"Detroit Tigers"	0.296482
"Houston Astros"	0.289188
"Red Sox"	0.281869
"New York Yankees"	0.276465
"Los Angeles Dodgers"	0.273087
"Baltimore Orioles"	0.271217
"St. Louis Cardinals"	0.268502
"Kansas City Royals"	0.265487
"San Diego Padres"	0.265325
"Chicago White Sox"	0.264598
"Toronto Blue Jays"	0.262751
"New York Mets"	0.260511
"Atlanta Braves"	0.257895
"Chicago Cubs"	0.25157
"Texas Rangers"	0.251221
"Pittsburgh Pirates"	0.250572
"Cincinnati Reds"	0.249947
"Anaheim Angels"	0.246936
"Milwaukee Brewers"	0.246875
"Oakland Athletics"	0.246597
"San Francisco Giants"	0.244382
"Seattle Mariners"	0.229409
"Minnesota Twins"	0.228401
"Florida Marlins"	0.228339
"Arizona Diamondbacks"	0.226561
"Philadelphia Phillies"	0.220637
"Colorado Rockies"	0.210129
"Tampa Bay Devil Rays"	0.201403
Padre	0.201272
"Montreal Expos"	0.198999
A's	0.196981
Yankee	0.196295
"White Sox"	0.191843
Orioles	0.189717
diamondback	0.189208
Sox	0.187737
Mets	0.187428
Phillies	0.185876
dodger	0.17989
cub	0.178018
brave	0.177393
"California Angels"	0.175705
ASTROS	0.175458
"blue jay"	0.167375
Royals	0.167259
Giants	0.167204
mariner	0.163171
marlin	0.157643
"Washington Redskins"	0.155503
angel	0.154137
Cleveland	0.153525
Oakland	0.148666
ranger	0.145884
"New York Giants"	0.145875
"devil ray"	0.144845
cardinal	0.142151
Expo	0.138879
"Brooklyn Dodgers"	0.13816
ANAHEIM	0.137272
"Tampa Bay"	0.137039
"Florida Panthers"	0.134318
"Miami Heat"	0.132792
Boston	0.131644
"Los Angeles Lakers"	0.131139
"Edmonton Oilers"	0.12987
"Detroit Pistons"	0.129705
"Washington Capitals"	0.129473
"Phoenix Suns"	0.127597
"Indianapolis Colts"	0.127171
"Miami Dolphins"	0.127013
"Calgary Flames"	0.126998
"San Antonio Spurs"	0.126458
Toronto	0.126223
"Dallas Stars"	0.125468
Cincinnati	0.124154
"Utah Jazz"	0.123782
pirate	0.123528
"New York Knicks"	0.123493
"Atlanta Hawks"	0.122063
"Boston Celtics"	0.121186
"St. Louis"	0.121116
"Sacramento Kings"	0.121045
"Dallas Cowboys"	0.120371
"Philadelphia Flyers"	0.120175
"Carolina Hurricanes"	0.119729
"Arizona Cardinals"	0.119727
"Detroit Red Wings"	0.119596
Indian	0.119423
"New York Rangers"	0.119185
"Milwaukee Bucks"	0.119052
"Green Bay Packers"	0.119
"New York Islanders"	0.1174
"San Jose Sharks"	0.117188
"Golden State Warriors"	0.116814
"Buffalo Bills"	0.115565
"New Jersey Devils"	0.114855
brewer	0.11479
"Indiana Pacers"	0.114548
"Toronto Maple Leafs"	0.114513
"Montreal Canadiens"	0.11421
Milwaukee	0.113521
"Pittsburgh Penguins"	0.113328
MetroStars	0.113189
Baltimore	0.113143
"San Francisco @@ers"	0.111772
"Minnesota Vikings"	0.111266
"Chicago Bulls"	0.111079
"Dallas Mavericks"	0.111026
tiger	0.110102
"San Diego"	0.109978
"Red Wings"	0.109969
"D.C. United"	0.109692
"New England Patriots"	0.109666
"Dallas Burn"	0.109487
"Buffalo Sabres"	0.109259
"Ottawa Senators"	0.108999
"Houston Rockets"	0.108681
"New York Jets"	0.108659
Edmonton	0.108068
"Philadelphia Eagles"	0.107924
Celtics	0.10772
"St. Louis Blues"	0.10696
Lakers	0.106341
"Nashville Predators"	0.106254
Rockies	0.106249
"Los Angeles Kings"	0.106149
"Vancouver Canucks"	0.105976
"Minnesota Timberwolves"	0.105785
"New Jersey Nets"	0.105517
oiler	0.104922
"Colorado Avalanche"	0.104613
Minnesota	0.104501
"Washington Senators"	0.104368
"Tennessee Titans"	0.104127
"New York Liberty"	0.104046
"Kansas City"	0.103974
"Chicago Bears"	0.103387
Knicks	0.10326
Canadiens	0.102859
"Portland Trail Blazers"	0.102816
Montreal	0.102685
"Los Angeles Clippers"	0.102655
piston	0.102397
Detroit	0.102038
"Washington Wizards"	0.101826
clipper	0.101561
"Detroit Lions"	0.101204
"Oakland Raiders"	0.100955
"Seattle Seahawks"	0.100881
"Mighty Ducks"	0.100847
"Denver Broncos"	0.100656
"Miami Fusion"	0.0998387
"Kansas City Chiefs"	0.0992659
"Phoenix Coyotes"	0.0992391
Pittsburgh	0.0990383
Canuck	0.0990035
Redskin	0.0987394
"St. Louis Rams"	0.0985104
"Cleveland Browns"	0.0983242
"Orlando Magic"	0.098156
Seahawks	0.0979166
"Charlotte Hornets"	0.0978974
Seattle	0.0978333
Colorado	0.097793
"American League Championship Series"	0.0977245
Philadelphia	0.097448
red	0.0962683
sabre	0.0961371
"Jacksonville Jaguars"	0.0956749
bruin	0.095381
"Trail Blazers"	0.0942509
"Chicago Blackhawks"	0.0940622
panther	0.0934009
pacer	0.0933816
islander	0.0929415
BEARS	0.0924522
"ATLANTA FALCONS"	0.0923533
"Boston Bruins"	0.0922459
"Green Bay"	0.0920535
"Maple Leafs"	0.0906185
Bengals	0.0905127
Trojan	0.0904097
twin	0.0903932
"San Diego Chargers"	0.0900603
packer	0.090035
Atlanta	0.0899468
Houston	0.0895635
Eagles	0.0892102
Calgary	0.088965
"Tampa Bay Lightning"	0.088684
"Montana State"	0.088519
"Chicago Fire"	0.0884977
"Vancouver Grizzlies"	0.0877743
"New York-New Jersey MetroStars"	0.0874425
flyer	0.0873578
"Carolina Panthers"	0.0873109
athletics	0.0869137
"Phenix City"	0.0867593
hawk	0.0863882
))
("Boston Scientific" (desc 1622.02) (sims
"Times Co."	0.173188
Starwood	0.165596
Federated	0.163764
"National Grid"	0.16333
Healtheon/WebMD	0.163179
Emulex	0.161325
"Gap Inc."	0.159447
MACROMEDIA	0.158032
ascend	0.157323
"Bank of Scotland"	0.156112
TYCO	0.155603
RJR	0.155402
"Sara Lee"	0.155081
"Advanced Micro"	0.154541
Interpublic	0.153636
WPP	0.152558
Biogen	0.151885
"P&AMP;G"	0.151653
"Y&AMP;R"	0.151149
Medtronic	0.150891
Litton	0.15085
Omnicom	0.150206
McKesson	0.149689
Halliburton	0.14704
"Thermo Electron"	0.146627
AMR	0.144811
Pitney	0.144629
"UAL Corp."	0.144578
TELLABS	0.144493
UAL	0.144487
Alltel	0.142549
COLTEC	0.141562
Healtheon	0.141555
NORTHROP	0.141129
"Pacific Century"	0.139213
E-LOAN	0.136237
ALZA	0.135744
"Berkshire Hathaway"	0.134438
"Phelps Dodge"	0.134107
Publicis	0.132154
NatWest	0.131052
"United Technologies"	0.129699
"Hongkong Telecom"	0.129665
VENATOR	0.129601
CCE	0.12932
Pairgain	0.129073
"U.S. Trust"	0.128406
"Computer Associates"	0.128316
GANNETT	0.127482
WebMD	0.126833
AIG	0.125176
AHP	0.124326
Raytheon	0.123943
Mattel	0.123548
Pepsico	0.123152
"True North"	0.122652
"American Home"	0.121496
Cabletron	0.121489
XYLAN	0.120229
Clorox	0.119981
"Dayton Hudson"	0.119216
Sunbeam	0.118807
CUC	0.118492
Broadcom	0.118391
Petrofina	0.11837
Genzyme	0.118028
Autodesk	0.117724
SFX	0.117397
Corel	0.117171
SmithKline	0.117024
"HBO &AMP; Co."	0.116942
BankAmerica	0.116662
"Toys R Us"	0.116542
Cendant	0.11566
Livent	0.115558
Vivendi	0.115479
"Waste Management"	0.114585
Maytag	0.114024
Nortel	0.113592
Gilead	0.113586
MiniMed	0.11349
UAM	0.112611
"Chevron Corp."	0.112539
Gymboree	0.112285
PEOPLESOFT	0.11198
Diageo	0.111109
Telefonica	0.111019
Weyerhaeuser	0.110669
"MCI WorldCom"	0.110618
Compaq	0.110544
Scripps	0.110222
"Times Mirror"	0.109534
EMC	0.109432
"Silicon Graphics"	0.108938
Genentech	0.108642
Tenneco	0.107649
Lockheed	0.107517
"Stride Rite"	0.10721
"Northeast Utilities"	0.106969
"RJR Nabisco"	0.106413
"Global Crossing"	0.106343
Chiron	0.106301
CMGI	0.106119
Primedia	0.106115
Aetna	0.10605
"Hughes Electronics"	0.105797
Webvan	0.105792
Ciena	0.105724
SAirGroup	0.105714
"American Home Products"	0.105588
MetLife	0.105434
"British Aerospace"	0.104884
Xerox	0.104859
"JDS Uniphase"	0.104441
"Network Associates"	0.103969
ENTERGY	0.10365
Daimler	0.103458
SkyTel	0.103122
Conseco	0.103044
REVLON	0.102879
DrKoop.com	0.102563
Viacom	0.102332
SunTrust	0.102308
Wachovia	0.102234
"Dow Chemical"	0.102041
"First Union"	0.101766
LIFFE	0.101586
Hasbro	0.101527
Novell	0.101488
UBS	0.101368
IDT	0.101224
Agilent	0.101122
"BP Amoco"	0.100786
NTL	0.100299
"General Electric Co."	0.100142
Warner-Lambert	0.0996983
"Northern Telecom"	0.0993879
Humana	0.0993163
"Rite Aid"	0.0992837
"Learning Co."	0.099128
"Harvard Pilgrim"	0.0983982
BankBoston	0.0983404
Cablevision	0.0979723
GEC	0.0979493
VoiceStream	0.097946
Nabisco	0.0978645
"Royal Bank"	0.0978109
"Mattel Inc."	0.0976931
"Cendant Corp."	0.0976761
Amgen	0.0975514
Seagate	0.0975065
CSX	0.097495
Broadcast.com	0.0971606
"Bausch &AMP; Lomb"	0.0971539
"Sony Corp."	0.0971189
"GE Capital"	0.0967069
"Coca-Cola Co."	0.0967032
"News Corp."	0.0966706
Norwest	0.0966627
PLDT	0.0966535
CompUSA	0.0966419
CNET	0.096635
Geron	0.0966332
Gillette	0.0965794
Northpoint	0.096032
Dupont	0.0959995
Scientific-Atlanta	0.0958187
"Niagara Mohawk"	0.0957892
ATHOME	0.0957805
Terra	0.0953888
"J&AMP;J"	0.0952859
ExciteAtHome	0.0952819
"France Telecom"	0.0951801
ZIFF-DAVIS	0.0950979
WELLPOINT	0.0948097
ENTREMED	0.0947794
"Levi Strauss &AMP; Co."	0.0946195
Bertelsmann	0.0944181
Priceline	0.0943769
"Pepsico Inc."	0.0943276
"Lockheed Martin"	0.0940509
Equifax	0.0939042
"AMR Corp."	0.0939009
Citigroup	0.0937512
"Con Ed"	0.0937283
Google	0.0936638
"Seagram Co."	0.0931758
E-Trade	0.0930229
Pharmacia	0.0928793
Bridgestone	0.0926533
Ge	0.0926369
ICI	0.092615
Deutsche	0.0924862
Sepracor	0.0924234
BofA	0.0923977
"Deutsche Bank"	0.0923937
Warnaco	0.0922076
Kroger	0.092037
Motorola	0.0919003
Honeywell	0.0918436
))
("Boston Symphony" (desc 2553.53) (sims
"New York Philharmonic"	0.265058
"Boston Symphony Orchestra"	0.236811
BSO	0.171407
"Berlin Philharmonic"	0.159384
"Cleveland Orchestra"	0.154518
ASO	0.132587
"Vienna Philharmonic"	0.123479
"Boston Pops"	0.115213
Philharmonic	0.113543
"Philadelphia Orchestra"	0.113199
orchestra	0.104279
"Royal Ballet"	0.0947278
"City Opera"	0.0924711
KPA	0.0790126
"New York City Ballet"	0.0770785
"Metropolitan Opera"	0.0752257
"La Scala"	0.0651979
"Fighting Irish"	0.0582497
"ballet company"	0.0572573
"Public Theater"	0.0564918
Tanglewood	0.0547952
Drexel	0.0532719
"Kenya Airways"	0.0531766
"Celine Dion"	0.0527945
"James Levine"	0.0525634
"chamber music"	0.0519724
"Seiji Ozawa"	0.0518076
Dodgertown	0.0517848
"Andre Previn"	0.0517394
"Field Poll"	0.0516901
"City Ballet"	0.0511759
"Roundabout Theater Company"	0.0507849
Nepa	0.0493613
"Catholic Charities"	0.0492488
symphony	0.0481136
Phish	0.047829
blowfish	0.0462933
choir	0.0460527
TAZARA	0.0458499
Collymore	0.0455353
"Royal Opera House"	0.0448817
"Brooklyn Dodgers"	0.0448592
MFA	0.0444656
Pavarotti	0.0442978
"Los Angeles Galaxy"	0.0441741
sing-along	0.0439603
"E Street Band"	0.0438975
Biman	0.0435403
ATC	0.043401
"chamber orchestra"	0.0428206
"big band"	0.0427849
Ibarra	0.0426507
"Foreign Affairs Office"	0.0425353
"Nigerian National Petroleum Corporation"	0.0424516
"Royal Shakespeare Company"	0.0418438
"Bruce Springsteen"	0.0411909
"Peace Corps"	0.0409342
"Gallup Poll"	0.0409237
"American Lung Association"	0.0407301
"Tina Turner"	0.040117
))
("Boston Symphony Orchestra" (desc 2538.92) (sims
BSO	0.255992
"Boston Symphony"	0.236811
"New York Philharmonic"	0.21143
"Cleveland Orchestra"	0.188262
"Berlin Philharmonic"	0.152932
"Boston Pops"	0.150699
"Vienna Philharmonic"	0.149985
"Philadelphia Orchestra"	0.141898
Philharmonic	0.111113
ASO	0.101798
"Solomon R. Guggenheim Museum"	0.0986706
"Royal Ballet"	0.0940629
orchestra	0.0936345
"Roundabout Theater Company"	0.0798807
"Metropolitan Opera"	0.0762923
"Public Theater"	0.0748924
"City Opera"	0.073405
"Royal Shakespeare Company"	0.0731845
"ballet company"	0.0721942
KPA	0.069794
"Ethics Commission"	0.0695553
"Brooklyn Dodgers"	0.0689073
"Museum of Contemporary Art"	0.0684325
"Royal Opera House"	0.0681468
Tanglewood	0.0661915
"Ballet Theater"	0.0659617
choir	0.0650457
"Pacific Century Cyberworks"	0.0643903
"La Scala"	0.0636364
"American Ballet Theater"	0.061424
"New York City Opera"	0.0611744
"Field Poll"	0.0611055
"Lincoln Center Theater"	0.0595919
"Harvard College"	0.057097
"Sdn Bhd"	0.0569614
"New York Civil Liberties Union"	0.0568417
"High Museum of Art"	0.0564839
"Williams College"	0.0562932
"City Ballet"	0.0562441
"Manhattan Theater Club"	0.0545986
"Tate Gallery"	0.0545366
"Metropolitan Museum"	0.0545347
"symphony orchestra"	0.0540688
Tanganyika	0.0539532
"United Steelworkers"	0.0532691
"District Council"	0.0532413
"Whitney Museum of American Art"	0.05296
"Lilith Fair"	0.0529342
"New York City Ballet"	0.0527747
Spoleto	0.0517663
"Kenya Airways"	0.0516276
ACLU	0.0515317
"Wynton Marsalis"	0.051234
symphony	0.0508152
UNDCP	0.0507707
"Jackson State"	0.0506497
"Peace Corps"	0.0503982
Supremes	0.050322
fact-finding	0.0502549
HKTA	0.049737
"musical group"	0.0495942
"Betsy King"	0.0492654
"National Gallery"	0.0487564
"blue angel"	0.048736
"Amherst College"	0.0487196
"Royal National Theater"	0.0484947
"Hearst Corporation"	0.0480872
USAID	0.0480248
"Brooklyn Museum of Art"	0.0477844
Pacifica	0.0476819
sing-along	0.047583
ATC	0.0475359
MFA	0.0475039
"Philadelphia Museum of Art"	0.0472629
counterintelligence	0.0468818
"Whitney Museum"	0.0464776
"Vietnam Airlines"	0.0463708
"Museum of Fine Arts"	0.0459507
"John Gielgud"	0.0458502
iss	0.0457432
"New York Film Festival"	0.0456912
CRI	0.0456851
Nepa	0.0453381
"Catholic Charities"	0.0451079
"Metropolitan Museum of Art"	0.0448115
Dodgertown	0.0447536
Phish	0.0447253
"Medicare HMO"	0.0445932
WEF	0.044541
"Pearl Jam"	0.0445157
"Opium War"	0.0444246
"Department of Corrections"	0.0442324
"Medicare HMOs"	0.0441706
counterterrorism	0.0441087
Pavarotti	0.0440807
"monetary fund"	0.0438732
WIPO	0.0438283
"Civil Aviation Authority"	0.0437873
"James Levine"	0.0434685
"Jacqueline Kennedy Onassis"	0.0432824
"chamber orchestra"	0.0432138
"Underground Railroad"	0.043035
"E Street Band"	0.0428557
"National Park Service"	0.0427418
"World Vision"	0.042664
Occidental	0.0426511
"Fighting Irish"	0.0426141
"Pierre Boulez"	0.0425934
met	0.0423967
"dance band"	0.0423781
NIC	0.0422765
USTA	0.0422649
"Smith College"	0.0422222
"Capital Airport"	0.0421449
Massport	0.0420866
AARP	0.0420768
"personal business"	0.0419082
Bisek	0.0418575
"Renee Fleming"	0.041759
"Jewish Museum"	0.0416795
Inhofe	0.0416101
"Health Department"	0.0415712
"Pakistan People's Party"	0.0415009
"Dartmouth College"	0.0414916
"National Hurricane Center"	0.0414877
"Calgary Flames"	0.0414481
Comelec	0.0413307
"Congressional Black Caucus"	0.0411752
"Corcoran Gallery"	0.0411441
"jazz band"	0.041014
"National Theater"	0.0410104
"Mission Control"	0.0408492
"jam session"	0.0408296
"Janis Joplin"	0.0407275
"Central Intelligence Agency"	0.0406302
"city planning"	0.0405791
"Salomon Brothers"	0.0405687
"Museum of Chinese History"	0.0403559
Maurizi	0.0403282
"Voice of America"	0.0402974
"chain gang"	0.0402528
Monkees	0.0402002
"Screen Actors Guild"	0.0401465
))
("Boston University" (desc 11547.5) (sims
"New York University"	0.264031
"Yale university"	0.251484
"George Washington University"	0.247617
"Stanford University"	0.244442
"Columbia University"	0.241941
"University of Illinois"	0.237642
"University of Chicago"	0.235488
"University of Georgia"	0.231225
"Harvard University"	0.230584
"University of Southern California"	0.229554
"University of North Carolina"	0.228628
"Syracuse University"	0.224085
"University of Michigan"	0.223293
"University of Wisconsin"	0.221969
"University of Pennsylvania"	0.221476
"Georgetown University"	0.220611
"University of Texas"	0.216819
"University of Florida"	0.21518
"Cornell University"	0.215098
"Princeton University"	0.214638
"University of Kansas"	0.214369
"Harvard Law School"	0.21433
Harvard	0.213983
"Duke University"	0.212663
"American University"	0.210566
"Harvard Business School"	0.209344
Yale	0.208888
"University of Massachusetts"	0.205758
"Vanderbilt University"	0.205221
"Emory University"	0.202998
"University of Minnesota"	0.202468
"Ohio State University"	0.202106
"University of Maryland"	0.201474
"Howard University"	0.198965
"Brown University"	0.198835
"Northwestern University"	0.198188
MIT	0.19753
"Rutgers University"	0.18977
"University of Virginia"	0.189389
"Brandeis University"	0.188101
Cornell	0.186479
"University of Utah"	0.18629
"Northeastern University"	0.185111
"University of Arizona"	0.184939
"University of Kentucky"	0.184155
"University of California"	0.183493
"Boston College"	0.183134
"University of New Mexico"	0.183132
"Massachusetts Institute of Technology"	0.182353
Princeton	0.18184
"University of Colorado"	0.178654
"Johns Hopkins University"	0.178103
"Indiana University"	0.1744
"Fordham University"	0.173813
"University of Pittsburgh"	0.171859
"City College"	0.170958
"University of Miami"	0.16987
Brandeis	0.16905
"University of Washington"	0.16883
"University of Houston"	0.168163
"Oxford University"	0.167869
"London School of Economics"	0.167306
"University of Iowa"	0.166285
"University of Missouri"	0.166025
"Texas Christian University"	0.165624
"Louisiana State University"	0.164741
"Yale Law School"	0.163991
Bu	0.163934
"University of Dayton"	0.162021
"University of Tennessee"	0.161431
"Georgia State University"	0.160809
"University of Connecticut"	0.159574
"Smith College"	0.159258
"California State University"	0.159047
"Purdue University"	0.156604
"Dartmouth College"	0.15185
"Williams College"	0.151799
"State University of New York"	0.15164
"Barnard College"	0.150171
"University of South Carolina"	0.149098
"Arizona State University"	0.149075
"Southern Methodist University"	0.148759
"Cambridge University"	0.147888
"Wright State University"	0.14766
"Temple University"	0.1467
"University of Oklahoma"	0.145773
"Harvard Medical School"	0.144152
"University of Cincinnati"	0.143734
Dartmouth	0.143706
Stanford	0.14328
"Tufts University"	0.1419
"University of Mississippi"	0.140104
"Iowa State University"	0.138621
"Florida State University"	0.138346
"California Institute of Technology"	0.138028
"University of Rochester"	0.137284
"City University of New York"	0.135618
"San Francisco State University"	0.135011
"Michigan State University"	0.133088
"Queens College"	0.132192
"Georgia Tech"	0.13164
"Johns Hopkins"	0.131174
"University of Toronto"	0.130588
"Baylor University"	0.129832
"University of Notre Dame"	0.129145
"Beijing University"	0.128974
UGA	0.127731
"UC Berkeley"	0.127629
"Wesleyan University"	0.126351
"Rice University"	0.126085
"McGill University"	0.12608
"Amherst College"	0.125859
"Washington State University"	0.125803
"University of New Hampshire"	0.125726
"Auburn University"	0.125058
"University of Hawaii"	0.124977
"Hunter College"	0.124875
"school of law"	0.123171
"University of Arkansas"	0.122927
northeastern	0.122856
Emory	0.121029
"University of Alabama"	0.120222
NYU	0.11901
"city university"	0.117769
Berkeley	0.117619
"Brigham Young University"	0.117478
"business school"	0.117174
"Catholic University"	0.115799
"Texas Tech University"	0.114709
"Carnegie Mellon University"	0.113707
"University of Rhode Island"	0.112202
"Harvard School of Public Health"	0.11168
"Washington University"	0.110708
"Juilliard School"	0.110431
Juilliard	0.109752
"Harvard College"	0.109497
"University of Oregon"	0.109002
UCLA	0.108942
university	0.108707
"North Carolina State University"	0.108454
"Kansas State University"	0.108067
"University of Maine"	0.107793
"Hebrew University"	0.107601
Vassar	0.106244
"Colorado State University"	0.105917
Georgetown	0.105721
"Cal State Northridge"	0.104641
"Trinity College"	0.104485
"law school"	0.102981
seminary	0.1028
"University of Nebraska"	0.102368
UT	0.101888
"West Point"	0.101475
CalTech	0.101278
"Pennsylvania State University"	0.100984
"medical school"	0.100796
"Florida International University"	0.0994166
UMass	0.0993459
Columbia	0.0977876
UW	0.0973821
"Long Beach State"	0.0973771
"George Mason University"	0.0969333
Oxford	0.0957385
"Fudan University"	0.0956706
SMU	0.0955737
Pepperdine	0.0955439
Rutgers	0.0943587
northwestern	0.0939088
"Notre Dame"	0.0937218
TCU	0.0929615
"Qinghua University"	0.0925252
"University of Wyoming"	0.0923272
Vanderbilt	0.0922695
Sorbonne	0.0916916
"Kennedy School"	0.091532
"Baylor College of Medicine"	0.0913015
"Peking University"	0.0910342
USC	0.0907772
Unh	0.0891478
"school of medicine"	0.0885955
UMKC	0.0883499
Baylor	0.0879998
"Seton Hall"	0.0875015
CSUN	0.0866195
"Wake Forest University"	0.0865624
"Holy Cross"	0.0862322
"Hofstra University"	0.0853731
College	0.0849379
ASU	0.0839819
Tulane	0.0838618
"Ohio State"	0.0829555
"naval academy"	0.0827658
"school of music"	0.0827242
"air force academy"	0.0826776
KU	0.0825983
"Kennedy School of Government"	0.0824569
"University of Hong Kong"	0.0824197
"Virginia Tech"	0.0818156
"College of Charleston"	0.0800125
tuft	0.0792919
))
(Bostonian (desc 1152.59) (sims
Atlantan	0.137605
"North Carolinian"	0.124904
Minnesotan	0.12413
Midwesterner	0.1087
Washingtonian	0.105586
Englishman	0.102983
nobleman	0.101668
Vermonter	0.0954005
Virginian	0.090211
Ohioan	0.0896523
Englishwoman	0.088521
"little leaguer"	0.0839974
nonentity	0.0832277
"New Englander"	0.083219
"eye doctor"	0.0828854
Scotsman	0.0822151
"house painter"	0.0818134
"sea captain"	0.0810447
techie	0.0786845
Ghanaian	0.0785273
Northerner	0.0785135
Yugoslavian	0.0780454
Hoosier	0.0775893
Scot	0.0760087
Kansan	0.0753873
"plantation owner"	0.0750019
Parisian	0.0748345
"general practitioner"	0.0733429
"Christian Democrat"	0.0730252
"Elia Kazan"	0.0727875
"big leaguer"	0.0727849
"blind man"	0.0726278
Tennessean	0.0707192
Havelange	0.0699796
"aerospace engineer"	0.0690188
"interior decorator"	0.0684379
"civil engineer"	0.0669151
paraplegic	0.0669048
nunnery	0.0668252
"South Carolinian"	0.0667207
Floridian	0.0665435
Musa	0.0665259
claimer	0.0659025
stuntman	0.0657981
patrolman	0.0657181
Frenchwoman	0.0656165
restaurateur	0.0652521
"young actress"	0.0652323
Grahame	0.065092
Brit	0.0650536
tomboy	0.064937
"foreign service officer"	0.0648262
"Texas longhorn"	0.0643789
Jamaican	0.0635538
Rhodesia	0.0634835
beautician	0.0632759
"police sergeant"	0.0629083
"two pitchers"	0.062442
Georgian	0.0623132
Mississippian	0.0622905
Realtor	0.0620655
bodybuilder	0.0618696
copout	0.061833
oilman	0.061449
"art dealer"	0.0613876
"traveling salesman"	0.0611522
"Darrell Green"	0.0610796
householder	0.0609978
Baerga	0.0605285
"sitting duck"	0.0604628
bricklayer	0.0603532
"Jehovah's Witness"	0.0603043
"Southern Baptist"	0.060084
Iowan	0.0599688
socialite	0.0597918
crapshoot	0.0596856
"test pilot"	0.0594883
alum	0.0592651
"department employee"	0.0588576
"altar boy"	0.058598
"Chris Cooper"	0.0585385
"Australian Mark Philippoussis"	0.05848
jurist	0.0580871
paleontologist	0.0580516
dilettante	0.0579242
Uruguayan	0.0578901
optometrist	0.0574409
brawler	0.0573729
vagabond	0.0570632
Dutchman	0.0570625
Missourian	0.0568355
geophysicist	0.0567043
oligarch	0.0566862
"Jocelyn Thibault"	0.0566191
"Baltasar Garzon"	0.0565185
"police lieutenant"	0.0564141
widower	0.0563757
pug	0.0563443
"risk taker"	0.0562734
"Rhodes Scholar"	0.0562355
grandmaster	0.0562223
bridegroom	0.0561797
heiress	0.0558665
ex-convict	0.0555062
repairman	0.0553986
Kurd	0.055394
Southerner	0.055175
"Social Democrat"	0.0551414
Ribbeck	0.0551303
alumnus	0.0550031
Londoner	0.0549188
Bhattarai	0.0548627
landscaper	0.0548453
"New York Republicans"	0.0546209
subgenre	0.0545942
"young lady"	0.054442
clergyman	0.054359
triathlete	0.0542272
"Isiah Thomas"	0.0539424
Easterner	0.0539143
biochemist	0.0537039
"math teacher"	0.0535999
lexicographer	0.0535794
"police captain"	0.0534907
casualness	0.0534436
sadist	0.0532605
housemate	0.0532406
hotelier	0.0532281
"Kim Il Sung"	0.0531548
prof	0.0528804
divorcee	0.0528421
"foster mother"	0.0527517
gelding	0.0527283
serviceman	0.0526278
exec	0.0524539
"school teacher"	0.0523854
Afrikaner	0.0523399
"mechanical engineer"	0.0523093
"NBA All-Star"	0.0521971
businesswoman	0.0520717
"security consultant"	0.0519597
"robbery suspect"	0.0519546
"radio announcer"	0.0519384
animator	0.0518457
monarchist	0.0516211
"car dealer"	0.0515691
highflier	0.0515556
joker	0.0514456
Atlantans	0.0514028
"Navy Seal"	0.0513765
"James Byrd Jr."	0.0513609
"naval officer"	0.0513298
Arizonan	0.0512675
"married man"	0.0512558
"staff sergeant"	0.051142
"electrical engineer"	0.0511097
"New Zealander"	0.0510348
suburbanite	0.051023
Cuban-American	0.0509737
newsman	0.0508579
madam	0.0508352
cellist	0.0507752
prizefighter	0.0507571
abbot	0.0507278
tribesman	0.0506551
heartening	0.0505702
"white person"	0.0505184
newspaperman	0.0504952
eavesdropper	0.0504795
"Bob Kraft"	0.0503414
Gunmakers	0.0503326
marksman	0.0502593
"Krishna Prasad Bhattarai"	0.0501807
"Robert Ray"	0.0501795
cellmate	0.0501312
"baseball coach"	0.0501254
infantryman	0.0501045
"Alexander the Great"	0.0499712
deadhead	0.0497705
"Mark Langston"	0.0496658
southpaw	0.0496148
"New Democrat"	0.0495026
"one go"	0.0493593
"English teacher"	0.0493079
CPA	0.0491492
botanist	0.0490104
homebuilder	0.0489497
bloodhound	0.0489029
Keegan	0.0488254
"secret society"	0.0486828
"newspaper publisher"	0.0486681
Venting	0.0486672
Aggie	0.0486221
"Black Panther"	0.0486135
welder	0.048223
Finn	0.0482177
"line of questioning"	0.0481841
"Bora Milutinovic"	0.0481619
"singing voice"	0.0481574
"Xavier Malisse"	0.0480496
))
(Bostonians (desc 1919.38) (sims
Londoner	0.120365
Atlantans	0.105531
Angelenos	0.102116
Floridian	0.100935
"Southern Democrats"	0.100279
filmgoers	0.0993314
Hawaiians	0.0983521
Mississippian	0.097733
Washingtonian	0.0951455
Ohioan	0.0947109
theatergoer	0.09266
Easterner	0.091794
"Texas Democrats"	0.0887048
"New Jerseyans"	0.0878794
"American Jews"	0.0876815
Chinese-Americans	0.0869209
dieters	0.0855193
Kansan	0.0855098
"church member"	0.0831643
businesswomen	0.0826643
"San Franciscans"	0.082501
"New York Republicans"	0.0815512
congregants	0.0812715
"little leaguer"	0.0793496
Quebecers	0.0791196
Northerner	0.0789552
"New Englander"	0.0783603
Southerner	0.077459
Chicagoans	0.07693
Ecuadoreans	0.0754002
"Orthodox Jews"	0.0752811
rappers	0.0740663
"North Carolinian"	0.0731542
tyke	0.0728853
Vermonter	0.0721287
Creationists	0.071995
vintner	0.0718281
Iowan	0.071281
major-leaguers	0.0705339
westerner	0.0704023
"music lover"	0.0692659
"jazz musician"	0.0679452
techies	0.0674955
"New York Democrats"	0.067471
Italian-Americans	0.0668628
criminologists	0.0658334
Cuban-Americans	0.0655989
Afrikaner	0.0645119
Panamanian	0.0643628
Beijingers	0.0639951
Frenchmen	0.0638165
parishioner	0.0636436
transnationals	0.0635343
Chinese-Indonesians	0.0632088
"African Americans"	0.062258
adoptees	0.0621133
townsfolk	0.0619266
Texan	0.0615381
"Albanian Kosovars"	0.0615234
passersby	0.0613984
Brit	0.0613143
"business executive"	0.0613043
Parisian	0.0608541
old-timer	0.0605492
twentysomethings	0.0601817
enlistee	0.0595676
"Cuban Americans"	0.0594649
octogenarian	0.0593852
"South Carolinian"	0.0588076
Muscovite	0.0587991
worshiper	0.0585703
Californian	0.058436
billionaires	0.0581918
evangelicals	0.0579778
philanthropist	0.0578625
celebs	0.0577807
Englishmen	0.0577067
enactors	0.0572807
Anglos	0.0572513
Virginian	0.0570323
hipsters	0.0567335
restaurateur	0.056661
"sports fan"	0.0564754
concertgoers	0.0564106
Chechens	0.0562625
mainlanders	0.056242
"social scientist"	0.0562087
moviegoer	0.0560543
"corporate executive"	0.0560536
Montenegrins	0.0559912
ex-convicts	0.0559904
"car dealer"	0.0558568
"art dealer"	0.0557657
optometrist	0.0557025
churchgoer	0.0556739
Haitian	0.0552079
"civic leader"	0.0548706
"newspaper publisher"	0.0547645
Arab-Americans	0.0546584
Georgian	0.0543137
Paulson	0.0542434
skydiver	0.054144
Singaporean	0.054027
underling	0.0539141
Alumni	0.0538143
REITs	0.0534378
raver	0.0532224
McWilliams	0.0531843
psychoanalyst	0.0531802
cabby	0.0531026
Guatemalan	0.0530978
oligarch	0.0527144
laymen	0.0523214
"Ford Explorer"	0.0520954
mien	0.0520247
illegals	0.0520044
e-tailers	0.051972
do-it-yourselfers	0.0519369
achiever	0.0517154
schoolers	0.0513435
landowner	0.0512724
"foreign officials"	0.0512438
third-graders	0.0510793
closers	0.051023
screenwriter	0.0509128
wretch	0.0508272
sportswriters	0.0508125
skeptic	0.0507942
alum	0.0506983
vacationer	0.0503839
Minnesotan	0.0502541
"young actress"	0.0501892
"North Africans"	0.0501822
"South Koreans"	0.0501803
suburbanite	0.0501139
Arizonan	0.0499637
singer-songwriters	0.0492427
Missourian	0.0490888
"trade unionist"	0.048958
businesswoman	0.0489131
attendees	0.0487025
"gold miner"	0.0486486
Midwesterners	0.0486386
connoisseur	0.0485727
Briton	0.0485718
Navajos	0.0485633
lobstermen	0.0485613
mourner	0.0485182
Tennessean	0.0481077
Dominican	0.0479362
bettor	0.0479266
autoworkers	0.0477315
multinationals	0.0476997
onlooker	0.0473851
mathematician	0.0472781
Bostonian	0.0470482
winemaker	0.0470299
urbanites	0.046997
Honduran	0.0469854
literati	0.0469447
obstetrician	0.0467947
Mexican-Americans	0.0467206
"civil rights leader"	0.0466125
denizen	0.0465947
"Southern Baptists"	0.0465357
lexicographer	0.0465184
superheroes	0.0465166
countrymen	0.0463904
"political detainee"	0.0463616
execs	0.0462955
cartoonist	0.0462733
Mormon	0.0461288
worshipper	0.0460081
salesmen	0.046
Gibbon	0.0459807
paleontologist	0.0459466
Industrialist	0.045931
"major leaguer"	0.0459236
Uighurs	0.0458298
"decision maker"	0.0457414
drillers	0.045702
naysayer	0.045593
alderman	0.0450837
"small farmer"	0.0450428
"AIDS activist"	0.0450196
"newspaper editor"	0.0447873
Japanese-Americans	0.0447495
"club member"	0.0447475
cabbie	0.0447228
stockbroker	0.0446815
"old lady"	0.0445408
test-takers	0.0445353
"goose bumps"	0.0443091
"hundred years"	0.0442822
overlord	0.0442802
Berliner	0.0442385
oddsmakers	0.0441938
student-athletes	0.0441828
distiller	0.044139
theologian	0.0440554
))
(BoT (desc 5994.41) (sims
"Bank of Thailand"	0.114547
"Bank of Israel"	0.10864
SSB	0.102824
PBOC	0.102487
"Central Bank of Kenya"	0.101409
"Bank of Uganda"	0.0977773
Tat	0.0860882
CBK	0.0852522
"Bank Negara"	0.0840671
"reserve bank"	0.0836234
IEA	0.083332
"Central Bank of Nigeria"	0.0797095
"Philippine Central Bank"	0.07838
"Bank of Zambia"	0.0781844
"Bank Indonesia"	0.0768009
PBC	0.0749472
filtering	0.0748006
CBO	0.0746312
BOI	0.0745803
"People's Bank of China"	0.0733075
"Reserve Bank of India"	0.0727691
HKTA	0.0717458
triangulation	0.0690306
"U.S. Census Bureau"	0.0689503
Robot	0.06877
"Agriculture Ministry"	0.0687546
BOJ	0.0678516
"Thai Commerce Ministry"	0.0673673
"Home Ministry"	0.066429
collaborative	0.0659981
"U.S. Treasury Department"	0.0647468
TDB	0.064737
CIRC	0.0645904
"Labor Ministry"	0.0644464
CCF	0.0639558
"central bank"	0.0639428
HKMA	0.0637732
"U.S. Agriculture Department"	0.0630346
"Commerce Ministry"	0.0629278
"Central Bureau of Statistics"	0.0618216
"family planning"	0.0606672
"State Bank of Pakistan"	0.0606085
INEC	0.060494
telemedicine	0.0602765
"Thai Foreign Ministry"	0.0600151
CSE	0.0597201
ISTAT	0.0594174
"sewage disposal"	0.0592879
"Tourism Authority of Thailand"	0.0592816
"Bangladesh Bank"	0.0590273
NHTSA	0.0590151
INC	0.0588191
"three pitchers"	0.0587972
ODA	0.0585634
barter	0.0584397
"solar energy"	0.0584216
CBI	0.0578921
"Reserve Bank of Australia"	0.0566282
transponder	0.0564056
UCI	0.0561138
GSS	0.0560487
sensing	0.0560185
"Census Bureau"	0.0558286
"pork barrel"	0.0557664
Bi	0.0554816
MP@	0.0553844
"Bank of Korea"	0.0553339
"Energy Department"	0.0552711
"Bank of Italy"	0.054864
knucklehead	0.0547773
carnivore	0.0546808
CNTA	0.0545638
MII	0.0544963
"Industry Ministry"	0.0543001
"Department of State"	0.0541173
HCFA	0.0540679
CDB	0.0537638
GPS	0.0537321
SDB	0.0536322
X-@@	0.0535872
telephony	0.0533432
"birth control"	0.0533161
USDA	0.0532737
"Justice Ministry"	0.0531675
"Defense Agency"	0.0529319
"College Board"	0.0526417
E-ZPass	0.0523857
"Transportation Department"	0.0522624
"Environmental Protection Agency"	0.0522281
"Vision @@@@"	0.0521283
SDPC	0.0520903
"point system"	0.0520881
OECD	0.0520624
ADB	0.0520194
phonics	0.0519235
Win@@	0.0518257
"Bank of Japan"	0.0516925
UNEP	0.0516743
meccas	0.0516389
"city planning"	0.0514784
"Labor Department"	0.0513595
"Plan Colombia"	0.051253
FEMA	0.0511938
Eximbank	0.0510496
ILO	0.0508139
Benex	0.050712
"Hong Kong Monetary Authority"	0.0506373
"Israeli Foreign Ministry"	0.0505326
EPA	0.050484
"Congressional Budget Office"	0.0504637
OSHA	0.0503738
"Bank of China"	0.0503038
"U.S. Environmental Protection Agency"	0.0502313
"word processing"	0.0501932
"Transport Ministry"	0.0501395
"Economic Planning Agency"	0.049933
"Education Department"	0.0498639
"Health Department"	0.0498514
"Agriculture Department"	0.0496116
"public transit"	0.0495892
escrow	0.0494106
CSC	0.0491773
IC	0.0490973
cryptography	0.0490151
"Bureau of Labor Statistics"	0.0489385
irrigation	0.0487884
gook	0.0487378
"Finance Ministry"	0.0486356
SDH	0.0484497
Contraception	0.0483442
"scientific method"	0.0483003
electrification	0.0482211
Priceline	0.0482122
"high technology"	0.0481015
"Health Ministry"	0.0479833
"Consumer Product Safety Commission"	0.0479328
CAD	0.0478404
"teaching method"	0.0477765
"computer program"	0.0476634
WFP	0.047545
Systems	0.0475222
Encryption	0.047442
CCB	0.0473645
automation	0.0473392
accounting	0.0473344
"Interior Department"	0.0473186
sewerage	0.0472979
CDMA	0.0471898
"International Badminton Federation"	0.0471028
UNICEF	0.047001
derivative	0.0469675
"Department of Agriculture"	0.0469263
CSRC	0.0468529
"Federal Aviation Administration"	0.0468456
SETC	0.0467954
laser	0.0467249
bookkeeping	0.0465175
BLUETOOTH	0.0463742
UNDP	0.046368
"Treasury Department"	0.046266
agro-techniques	0.0461054
"fuel cell"	0.0460865
PNP	0.0460255
HHS	0.0459565
Auger	0.0458109
"Bank of England"	0.0457142
forecasting	0.0455816
IFC	0.0455587
"tax collection"	0.0454569
MOFTEC	0.0453728
amplification	0.045267
"Australian Bureau of Statistics"	0.0451971
"Ministry of Trade and Industry"	0.04518
ECA	0.0451172
"geographic area"	0.0451039
hydro	0.045057
pricing	0.0450525
"Health Care Financing Administration"	0.0449875
EAC	0.0447896
"Board of Investment"	0.0447778
"British Foreign Office"	0.0446964
"hotel manager"	0.0446185
"social assistance"	0.0445611
"Forest Service"	0.0444959
"shock therapy"	0.0443741
NRC	0.0443627
"Office of Management and Budget"	0.0442984
"gas turbine"	0.0442591
UNAIDS	0.0441885
"World Wildlife Fund"	0.0441796
FAA	0.0441594
"State Statistical Bureau"	0.0441066
calculator	0.0439963
DAP	0.0439846
"national bank"	0.0439836
CDC	0.043962
"Department of Corrections"	0.0439046
"mass transit"	0.0438951
"surveillance system"	0.043862
Forrester	0.0437649
))
("botanical garden" (desc 6128.62) (sims
aquarium	0.106204
zoo	0.104994
"art gallery"	0.100988
"amusement park"	0.1007
"exhibition hall"	0.100358
"entertainment center"	0.0948539
"research center"	0.0918314
"skating rink"	0.0916366
"conference center"	0.0890179
"shopping mall"	0.0861149
teahouse	0.0827936
"industrial park"	0.0821361
"dance hall"	0.0809101
"shopping center"	0.0790492
amphitheater	0.078084
"recreational facility"	0.0772745
campgrounds	0.0763347
"community center"	0.0757209
planetarium	0.0744467
"concert hall"	0.0734116
"theme park"	0.0727875
"housing development"	0.072162
"music hall"	0.0717765
"science museum"	0.0704201
"symphony orchestra"	0.0702279
"ball field"	0.0698658
arboretum	0.0697536
"Palace Museum"	0.0697167
"golf course"	0.0693651
"music school"	0.0689237
storehouse	0.0676754
mall	0.067219
"development center"	0.0669339
"vocational school"	0.0664474
greenhouse	0.0653016
"endowment fund"	0.0648848
"resort hotel"	0.0645436
"opera house"	0.0641284
"tropical rain forest"	0.0638319
"West Lake"	0.0635036
"sales outlet"	0.0633003
"tennis court"	0.0631422
"fire station"	0.0626985
"reading room"	0.0626256
cemetery	0.0625147
auditorium	0.0622938
discotheque	0.0622682
"post office"	0.0621741
"movie theater"	0.0620629
"game room"	0.0615667
state-level	0.0613751
"domed stadium"	0.0611335
spas	0.0610865
synagogue	0.0607158
observatory	0.0606764
"burial ground"	0.0606184
"San Francisco Museum of Modern Art"	0.0605324
"educational institution"	0.0605191
"movie house"	0.0601401
"bowling alley"	0.0600374
"medical center"	0.0597484
"manufacturing plant"	0.0596864
"holiday resort"	0.0595056
"office building"	0.059322
plaza	0.0591793
"ice rink"	0.0589703
circuses	0.0587526
nightspot	0.0584535
"wine cellar"	0.0582059
"Sea World"	0.0577372
"National Library"	0.0577256
"civic center"	0.0576327
Marina	0.0575221
"Museum of Chinese History"	0.0571856
gymnasiums	0.0571113
"art school"	0.0568184
playground	0.0566594
"elementary school"	0.0565274
memorial	0.0563775
"primary school"	0.0563731
"swimming pool"	0.0563677
drugstore	0.0563473
"picnic area"	0.0561821
"gambling casino"	0.056074
arcade	0.0558213
"national park"	0.0557167
"Tate Gallery"	0.0556329
nursery	0.055554
"chain store"	0.0555483
multiplex	0.0553529
sanctuary	0.0550851
"department store"	0.0550837
coffeehouse	0.0550504
"pizza parlor"	0.0547576
"branch office"	0.0547395
"opera company"	0.0546654
nightspots	0.0543795
"Ferris wheel"	0.0543498
crematorium	0.0540759
megaplexes	0.0539032
"commercial enterprise"	0.0538977
"athletic facility"	0.0537064
bookstore	0.0534555
cinema	0.0530471
"beauty shop"	0.05304
Zhongguancun	0.052982
eateries	0.0529762
winery	0.0528068
brewery	0.0527539
"suspension bridge"	0.0526768
"retail store"	0.0526238
cafe	0.0524403
"secondary school"	0.0521367
Kemper	0.0521163
pavilion	0.0519184
"public toilet"	0.0517366
SPA	0.051601
"nursery school"	0.0514373
"travel agency"	0.0513451
"bus station"	0.0510212
gymnasium	0.0509867
"discount store"	0.0508008
"National Zoo"	0.0505206
dispensary	0.050213
"vegetable garden"	0.0501968
"art collection"	0.0501518
parlor	0.0500763
"water project"	0.0498416
"butcher shop"	0.0495881
"dairy farm"	0.0495043
mosque	0.0493763
bureaus	0.0492878
"funeral home"	0.0492147
"grocery store"	0.0491627
"middle school"	0.0491469
"flour mill"	0.0490449
"railroad station"	0.0487132
"Summer Palace"	0.0484946
seawall	0.04842
"gift shop"	0.0483159
nightlife	0.0481147
guesthouse	0.0480384
pier	0.0480277
"telephone network"	0.0478087
bed-and-breakfasts	0.0478063
"interior designer"	0.0477819
"railway station"	0.0476947
"day care center"	0.0475572
thoroughfare	0.0475169
incinerator	0.0474905
Spoleto	0.047315
subdivision	0.0471774
"psychiatric hospital"	0.0471521
ballroom	0.0470058
"sports arena"	0.0468134
repository	0.0467472
"subsidiary company"	0.0466339
biennial	0.0464238
"gas station"	0.0463832
inn	0.0461891
"National Theater"	0.0459344
granary	0.0458622
landfill	0.0458001
"vacant lot"	0.0457479
"Suzhou Industrial Park"	0.045708
saloon	0.0456933
"retail operation"	0.0456869
"Colonial Williamsburg"	0.045682
"sailing vessel"	0.0456403
"main office"	0.0455356
"investment portfolio"	0.0454525
nightclub	0.0453502
high-rise	0.0453439
smelter	0.0452292
metropolises	0.0451075
landmark	0.0450867
"Imperial Palace"	0.0450309
waterfall	0.04499
Bathhouse	0.0449298
substation	0.0449204
campsites	0.044907
seminary	0.0447066
Cathedral	0.0444722
"subway station"	0.0443544
"savings bank"	0.0442248
databank	0.0441229
depot	0.0441148
"training school"	0.0441081
vertebrate	0.0440929
"convenience store"	0.0440804
"communication system"	0.0440441
"publishing house"	0.0440282
gazebo	0.0440187
grotto	0.0439688
dormitory	0.0439187
"clock tower"	0.0438778
"Memorial Hall"	0.0438611
"access road"	0.0438188
"train station"	0.0437563
depository	0.0436573
))
(botanist (desc 3668.46) (sims
paleontologist	0.155553
geologist	0.140407
archeologist	0.137937
mathematician	0.131507
ornithologist	0.127202
linguist	0.126567
agronomist	0.120069
astronomer	0.11914
horticulturist	0.11574
biologist	0.115297
archaeologist	0.114209
geneticist	0.112389
folklorist	0.11157
"art historian"	0.110119
sociologist	0.109116
nutritionist	0.10773
physicist	0.107644
naturalist	0.105366
"bird watcher"	0.102927
anthropologist	0.101795
academician	0.100436
ecologist	0.0999843
"social scientist"	0.0982355
theologian	0.0968507
historian	0.0945082
zoologist	0.0935148
biochemist	0.0925214
geophysicist	0.0922067
conservationist	0.0916745
philosopher	0.0914977
lexicographer	0.0910961
oceanographer	0.090185
cardiologist	0.0898206
"legal expert"	0.0890513
birder	0.0866238
internist	0.0865914
psychoanalyst	0.0865192
criminologists	0.0864828
ethicists	0.0858091
chemist	0.0855479
"medical specialist"	0.084938
musicologist	0.0845219
seismologist	0.0843954
scholar	0.0835688
clinician	0.0834374
neurologist	0.0817795
psychologist	0.081268
"stamp collector"	0.0811857
jurist	0.0796815
"computer expert"	0.0790702
immunologist	0.0785659
calligrapher	0.0783786
astrologer	0.0783513
"economic expert"	0.0780972
epidemiologist	0.0773902
statesmen	0.077338
veterinarian	0.0771987
"New York Republicans"	0.0770341
"heart surgeon"	0.0767862
toxicologist	0.0763805
demographer	0.0752228
educationist	0.0733191
mountaineer	0.0731819
"clinical psychologist"	0.0730981
"landscape architect"	0.072674
"government officials"	0.0725597
astrophysicist	0.0722581
educator	0.0719301
pediatrician	0.071644
clergymen	0.0713404
painter	0.0707434
genealogist	0.0700589
urologist	0.0699537
violinist	0.0696963
microbiologist	0.0696682
woodworker	0.0695376
novelist	0.0694123
theorist	0.0689855
surgeon	0.0683703
neurosurgeon	0.068259
criminologist	0.0681151
geographer	0.0677822
dermatologist	0.0673471
"computer scientist"	0.0666695
"civil engineer"	0.0665004
personage	0.066466
"business leader"	0.0662025
theoretician	0.0661074
sculptor	0.0658241
adventurer	0.0657236
pianist	0.0654586
enterpreneurs	0.065337
archivist	0.0652336
"divorce lawyer"	0.0648307
literati	0.0644622
gynecologist	0.0643367
endocrinologist	0.064307
cosmologist	0.0643016
businesspeople	0.0640679
environmentalist	0.0637223
sleuth	0.0636321
meteorologist	0.0634716
forecaster	0.0630605
"political scientist"	0.0629083
"computer programmer"	0.0628655
"general practitioner"	0.0625868
Industrialist	0.0625854
distiller	0.0625699
"foreign officials"	0.0625459
gardener	0.0620043
pathologist	0.0615153
cellist	0.0614907
"film maker"	0.0614056
poet	0.0613783
photographer	0.0612132
"health professional"	0.0607188
statistician	0.0607089
"Larry Sabato"	0.0605048
dramatist	0.0604077
oilmen	0.0602993
"newspaper editor"	0.0598911
businesswomen	0.0598625
"music lover"	0.0598411
cartoonist	0.0597448
pharmacologist	0.0596769
translator	0.0592544
"sea captain"	0.0591797
librarian	0.0587991
physiologist	0.0587383
essayist	0.0585857
psychiatrist	0.0584899
mainlanders	0.0583973
thinker	0.058086
entomologist	0.057851
"business executive"	0.0576188
"labor leader"	0.0575916
"booking agent"	0.0575409
"policy maker"	0.0574125
"fashion designer"	0.0572692
Creationists	0.0572599
"San Franciscans"	0.0570572
"air force officer"	0.0570501
hobbyist	0.0569881
moviemakers	0.0569798
"Wall Street analyst"	0.0568759
"stage director"	0.0568717
forester	0.0565905
golfer	0.0565884
obstetrician	0.056547
petitioner	0.056432
"art dealer"	0.0563109
statesman	0.05628
"market watcher"	0.0561862
"mechanical engineer"	0.0560264
surveyor	0.0559989
"Justin Rose"	0.0559985
psychotherapist	0.055962
restaurateur	0.0559095
decision-makers	0.0556035
"naval officer"	0.0555998
clergyman	0.0549659
inventor	0.0549475
"man of letters"	0.0549204
"character actor"	0.0548918
craftsmen	0.0545867
"army engineer"	0.0544973
proverb	0.054449
practitioner	0.0543458
Playwright	0.0541655
stargazer	0.0541178
lecturer	0.0541153
bird-watchers	0.053908
appraiser	0.0537783
craftspeople	0.0537769
watcher	0.053668
"military officer"	0.0536323
"software engineer"	0.0535048
"literary work"	0.0533574
"English professor"	0.0532934
pollster	0.0531348
"community organizer"	0.0530902
barrister	0.0530253
"intelligence officer"	0.0530009
footballer	0.0529116
goer	0.0527157
holidaymaker	0.0526236
"merchant ship"	0.0526083
"interior designer"	0.052389
parakeet	0.0523669
radiologist	0.0523162
sportsmen	0.0521937
cabinetmaker	0.0519501
"school superintendent"	0.0519236
colonist	0.0519065
songwriter	0.0518698
coauthor	0.0516701
Quebecers	0.051467
"music critic"	0.0511469
oncologist	0.0511147
transnationals	0.0510728
))
(Botany (desc 2454.25) (sims
zoology	0.228479
anthropology	0.201178
"mechanical engineering"	0.199332
"computer science"	0.187632
geophysics	0.183297
"chemical engineering"	0.178069
seismology	0.176926
"civil engineering"	0.170662
geology	0.166648
meteorology	0.159158
"political science"	0.1565
mathematics	0.15203
"electrical engineering"	0.151508
ophthalmology	0.150252
hydrology	0.149721
biology	0.14718
archeology	0.147126
Urology	0.143307
epidemiology	0.142217
linguistics	0.138905
agronomy	0.137564
pharmacology	0.135893
astronomy	0.135866
neurology	0.135564
"biological science"	0.134978
microbiology	0.133918
oceanography	0.130682
"physical education"	0.130421
sociology	0.129966
radiology	0.129208
dermatology	0.128347
"comparative literature"	0.125074
horticulture	0.124242
physiology	0.124001
neurobiology	0.1233
"social work"	0.122783
"fine arts"	0.121014
"social science"	0.119829
biochemistry	0.119781
criminology	0.119446
physics	0.119439
"life science"	0.119225
"earth science"	0.118966
pathology	0.11774
paleontology	0.115596
"molecular biology"	0.114932
psychiatry	0.11388
astrophysics	0.113258
"elementary education"	0.111955
"liberal arts"	0.106503
dentistry	0.106328
aeronautics	0.105619
psychology	0.104717
"environmental science"	0.10454
"preventive medicine"	0.102698
archaeology	0.102042
Pediatrics	0.101946
neuroscience	0.101586
theology	0.101424
obstetrics	0.101282
geriatrics	0.0995633
economics	0.0977736
"veterinary medicine"	0.0976975
"nuclear physics"	0.0949556
genetics	0.0948526
geography	0.094607
nursing	0.0936788
"political economy"	0.0916906
Chemistry	0.0906732
"fine art"	0.0901906
Immunology	0.0860295
engineering	0.0855499
Journalism	0.081722
ecology	0.0809146
oncology	0.0801441
demography	0.0799186
"urban planning"	0.0776955
gynecology	0.0762124
"natural science"	0.0751891
math	0.0750907
Anatomy	0.0744803
"internal medicine"	0.0737706
Talmud	0.0735889
bioengineering	0.0720971
nutrition	0.0696489
"artificial intelligence"	0.0688354
endocrinology	0.0685908
forestry	0.0660829
divinity	0.0658894
Cardiology	0.0651359
"New Testament"	0.0647846
"natural history"	0.0638966
"information science"	0.0636855
"special education"	0.0631896
entrepreneurship	0.0612847
algebra	0.0606807
"alternative medicine"	0.0604992
folklore	0.0597837
metallurgy	0.0577278
"physical therapy"	0.0576968
"San Francisco State University"	0.0574909
"information system"	0.0564286
"adult education"	0.0561913
prehistory	0.0561241
"medical science"	0.055775
TCM	0.0553318
knitting	0.0553207
"interior design"	0.0550157
"plastic surgery"	0.0544444
"computer programming"	0.0534279
"Old Testament"	0.0523028
"animal husbandry"	0.0509446
"commercial law"	0.0504678
conducting	0.0494255
"city planning"	0.0488461
calculus	0.0487886
biotechnology	0.0486868
"martial art"	0.0481077
"North Carolina State University"	0.0480091
"computer graphics"	0.0477331
Toxicology	0.0464698
"Colorado State University"	0.045891
"atomic energy"	0.0456966
genealogy	0.0449389
"Southern Methodist University"	0.0438021
"Yale Law School"	0.0437139
"Carnegie Mellon University"	0.0433243
"musical theater"	0.0429614
jurisprudence	0.042788
"Health and Human Services"	0.0419661
aquaculture	0.0418162
"Costume Institute"	0.0415886
"Baylor University"	0.0413928
"medical history"	0.041258
biophysics	0.0411665
"University of Nebraska"	0.0408686
acupuncture	0.0407913
Buddhism	0.0403424
))
(both (desc 153141) (sims
all	0.102642
who	0.0906432
some	0.090118
many	0.088573
most	0.0862831
two	0.0821098
he	0.0800195
team	0.0793472
people	0.0792582
Three	0.0787185
one	0.078038
those	0.0774511
any	0.0771254
player	0.075797
everyone	0.0756653
they	0.0749342
man	0.0744285
you	0.0736186
country	0.0734409
each	0.073268
gore	0.0727705
side	0.0727624
everybody	0.0726627
it	0.0720711
Bush	0.0720334
either	0.0711021
candidate	0.0710416
woman	0.0707999
company	0.0703144
she	0.0697064
neither	0.0696928
Republican	0.0687245
group	0.0683945
I	0.0683168
four	0.068287
American	0.0675433
none	0.0673123
nation	0.0670683
Clinton	0.0669782
Democrat	0.0666751
member	0.0664373
family	0.0658502
that	0.0657586
anyone	0.0651772
party	0.0650153
part	0.0650026
industry	0.0641534
everything	0.0640851
us	0.0639702
them	0.0637151
guy	0.0636845
which	0.0636304
kid	0.0634677
leader	0.0631996
Five	0.0631572
Six	0.0631461
others	0.0629837
someone	0.0626399
game	0.0625556
Bradley	0.0624923
thing	0.0621826
government	0.0620189
China	0.0620148
parent	0.0619398
while	0.0616831
much	0.0616662
we	0.0615526
President	0.0613896
student	0.0613558
number	0.0613523
lot	0.0613115
state	0.0611016
him	0.061029
child	0.0608407
Jones	0.0608073
life	0.0607684
community	0.0606848
business	0.0603774
organization	0.0601719
father	0.060113
Johnson	0.0600978
majority	0.0600414
"United States"	0.0599032
this	0.0598717
these	0.0597641
first	0.0596747
area	0.0595808
second	0.0595407
me	0.0594813
McCain	0.0594808
official	0.0591463
couple	0.0588
several	0.0587508
person	0.0586943
world	0.0584338
issue	0.0584256
campaign	0.0583119
coach	0.0582585
athlete	0.0577203
individual	0.057711
economy	0.0576495
"Al Gore"	0.0576113
nine	0.0574242
program	0.0572053
resident	0.0571737
system	0.0571058
smith	0.05693
kind	0.0567612
position	0.056578
politician	0.0565587
product	0.0563838
worker	0.0561274
plan	0.0560558
senator	0.0560259
firm	0.0560241
market	0.055945
Williams	0.0559003
show	0.0558905
Defense	0.0558731
Congress	0.0555111
Mayor	0.0554577
administration	0.0552601
role	0.0552035
event	0.0551671
development	0.0550197
idea	0.0547915
investor	0.0547502
mother	0.0547306
seven	0.0547249
opponent	0.0546992
fan	0.0546047
friend	0.0544502
half	0.0544463
owner	0.054334
rest	0.0542949
Giuliani	0.0542301
society	0.0541765
third	0.0541154
series	0.0539699
eight	0.0538903
result	0.0537635
something	0.0536402
patient	0.0536131
son	0.0534804
time	0.0531404
region	0.0531159
city	0.0529434
employee	0.0529051
Davis	0.0528237
doctor	0.0528134
voter	0.0524799
girl	0.0524069
club	0.0523006
manager	0.052222
right	0.0521688
sector	0.0521621
policy	0.0521328
job	0.0521053
generation	0.0520899
consumer	0.0520858
problem	0.0520383
race	0.051927
effort	0.0519058
anything	0.0518742
Israel	0.0516694
"George W. Bush"	0.0516622
pair	0.0515691
type	0.0515644
offense	0.0515476
institution	0.0515328
boy	0.0515166
case	0.0514783
story	0.051311
U.S.	0.0512792
league	0.0512768
film	0.0512571
score	0.0512235
record	0.0511985
place	0.051155
brother	0.0511192
pilot	0.051066
enough	0.0510371
bank	0.0510209
hundred	0.0510135
money	0.0509441
performance	0.0508692
artist	0.0508483
"vice president"	0.0507995
authority	0.0507312
opportunity	0.0506688
union	0.0506459
king	0.0506242
teacher	0.0506149
lawmaker	0.0505864
Chinese	0.05055
movie	0.0505334
history	0.0505234
site	0.0505117
interest	0.0504953
anybody	0.0504151
))
(Botha (desc 12905.4) (sims
Quartey	0.170715
Holyfield	0.149343
Tyson	0.145036
"De La Hoya"	0.139121
Whitaker	0.129011
Ayala	0.122722
"Evander Holyfield"	0.121175
"Lennox Lewis"	0.120726
Lewis	0.115564
Trinidad	0.112804
Norris	0.112677
Golota	0.111805
"Mike Tyson"	0.110705
"Francois Botha"	0.10974
Akinwande	0.108779
"Michael Moorer"	0.108103
Gatti	0.107218
"Oscar De La Hoya"	0.107104
Savarese	0.106373
Moorer	0.106328
Ruiz	0.104576
Tua	0.101438
Ali	0.0993464
Bowe	0.0980278
Gotti	0.0965706
McDougal	0.095575
Ruelas	0.0951163
Cisneros	0.0947474
Campas	0.0946266
Tapia	0.0940007
"Ike Quartey"	0.0938137
"Maturino Resendiz"	0.0936121
Capano	0.0930002
Mosley	0.0922374
Skakel	0.0921865
"Julio Cesar Chavez"	0.0918106
Berenson	0.0908441
Sheinbein	0.0901165
"Felix Trinidad"	0.0900303
Briggs	0.0887627
Schwarz	0.0885258
"Orlin Norris"	0.0882015
Bakaly	0.0876579
"Julius Francis"	0.0863193
"Riddick Bowe"	0.0859702
Neulander	0.085645
Sotomayor	0.0855534
Mikhailov	0.0852906
Flemmi	0.0852549
Ramirez	0.0851283
Symington	0.0844068
Steele	0.0837859
Volpe	0.0837742
Vargas	0.0831309
Murr	0.0828727
Anwar	0.0827803
Boesak	0.0822519
KEVORKIAN	0.0820901
"Louise Woodward"	0.0817872
Maradona	0.0817075
Slaney	0.0814473
Trie	0.0811199
Welch	0.0809821
Ritter	0.0806521
Capriati	0.0803167
Deri	0.0801223
Papon	0.0793693
McGinn	0.0789278
furrow	0.0787511
Einhorn	0.0787022
Schweitzer	0.078525
Sakic	0.0782704
"George Foreman"	0.0781616
McVeigh	0.0776019
Mandela	0.0774927
Woodward	0.0768944
Manbar	0.0759966
"Raul Salinas"	0.0759578
Zamora	0.0759304
Hofer	0.0759246
Lazarenko	0.075754
Schulz	0.0751363
Choi	0.0750864
Pinochet	0.0750747
Reimer	0.074853
Brawley	0.0747529
Chavez	0.0747492
Daniels	0.0744095
McKinney	0.0743031
Hubbell	0.0742771
Edwards	0.0742218
Fabius	0.0742176
Karbaschi	0.074078
Stayner	0.0739316
Rao	0.0737338
Suharto	0.0731762
Morales	0.0731238
Reid	0.0729524
"Buster Douglas"	0.0729453
Fortier	0.0727376
hale	0.0726213
Bowers	0.0726033
"Russell Peeler"	0.0726007
Lileikis	0.0725979
Blackthorne	0.0725071
Hsia	0.0724525
chun	0.0723672
"Al Fayed"	0.0723468
Carr	0.0723394
Abernathy	0.0723193
Soeharto	0.0722215
Nikitin	0.0721448
Naumann	0.0721237
Hirschfeld	0.0720295
Sharif	0.0719616
Kaunda	0.0719576
Glover	0.071899
Rivera	0.0718696
Lyons	0.0714897
Sankoh	0.0713415
Mudge	0.0712874
douglas	0.0710608
Francis	0.0708832
foreman	0.0708133
"Oba Carr"	0.0707132
Mayweather	0.0707017
Robison	0.0706769
Samaranch	0.0705926
Gravano	0.0704455
Pantani	0.0704333
Gonzalez	0.0704219
Ganga	0.0703741
Berisha	0.0703643
"Susan McDougal"	0.0701849
Korda	0.0700679
Prabowo	0.0700563
Goldstein	0.0696045
Kodikian	0.0695536
Fagan	0.0695264
Quackenbush	0.0694039
"Ruiz Massieu"	0.069334
Breuer	0.0691998
Faulder	0.0691239
Coleman	0.0690192
Hearns	0.0688419
Shipman	0.0688149
Khalil	0.0687867
Cheng	0.0686853
Gingrich	0.0684222
Jones	0.0682777
Ntuyahaga	0.0678778
Keating	0.0678722
Frazier	0.0678148
peeler	0.0675801
Cusack	0.0675324
Draskovic	0.0673897
Gadhafi	0.0672745
Patterson	0.0672032
Cruz	0.0671652
Ocalan	0.0669882
Agca	0.0669579
Akayesu	0.0669169
Lopez	0.0666596
Rosenblatt	0.0665492
Meskini	0.0665291
DeBartolo	0.0665207
Chung	0.0665122
"Henry Akinwande"	0.0664894
Mitchell	0.0664617
Nichols	0.0663195
Garza	0.0659588
Yoo	0.0659409
Diaz	0.0659013
Lee	0.0658629
Marquez	0.0657551
Johnson	0.0657318
Craxi	0.0656066
Joklik	0.0655298
Simpson	0.0655109
Denktash	0.0653123
Harding	0.0652698
Coates	0.0652394
Johnston	0.0652046
Deutch	0.0651878
Ng	0.0651789
Ota	0.0651248
boxer	0.0649943
Ashby	0.0649351
Priebke	0.0648809
Sanchez	0.0646514
Marichal	0.064597
Williams	0.064533
Chevenement	0.064456
Hernandez	0.0643721
Netanyahu	0.0641295
Whitacre	0.0640816
Babbitt	0.0640447
Thompson	0.063931
Ruehe	0.063819
Markhasev	0.0638163
))
(bother (desc 7873.92) (sims
hassle	0.0613703
"field day"	0.0509124
"hard time"	0.0479687
"close call"	0.0467508
inconvenience	0.0452124
"get together"	0.04247
third-graders	0.0422398
aggravation	0.0418909
consonance	0.0418322
"spare time"	0.041
indignity	0.040181
))
(Botox (desc 1516.69) (sims
cortisone	0.237292
interferon	0.164444
leptin	0.151886
penicillin	0.145393
insulin	0.133064
collagen	0.128253
placebo	0.121766
"growth hormone"	0.115682
TCM	0.109764
adrenalin	0.099822
hGH	0.0958566
Avonex	0.0954171
ENBREL	0.0942628
AZT	0.0906325
anesthetic	0.0906095
TPA	0.0903028
painkiller	0.0902451
"Thomas Youk"	0.0868438
Propecia	0.0865552
anti-inflammatory	0.0864075
capsaicin	0.086013
acupuncture	0.0826052
Celebrex	0.0823076
hormone	0.0798302
Endostatin	0.0783918
methadone	0.0780783
"human growth hormone"	0.0769701
mammography	0.0766995
thalidomide	0.0762238
"electric current"	0.0748715
ketamine	0.0735632
radiotherapy	0.0728247
steroid	0.0719997
morphine	0.0717305
dialysis	0.0712232
"sleeping pill"	0.0693844
ultrasound	0.0691058
"St. John's wort"	0.0689196
Mahomes	0.0687792
EPO	0.0670442
brine	0.0662635
melatonin	0.0662169
Zyvox	0.0659962
estrogen	0.0659581
endoscope	0.0657812
Paxil	0.0655155
telomerase	0.0652237
toxin	0.064904
lifesaving	0.0649025
sperm	0.0638567
chlorine	0.0623425
"Willie Horton"	0.0618556
adenovirus	0.0618073
tamoxifen	0.0614749
raloxifene	0.061332
allergen	0.0611725
Valium	0.0611198
Youk	0.0608565
isotope	0.0606942
"one ton"	0.0606028
phonics	0.0604617
irradiation	0.0604551
hypnosis	0.0604112
carcinogen	0.0598962
enema	0.059726
chloride	0.0593476
nevirapine	0.0592357
potassium	0.0591345
nicotine	0.0586935
vibrator	0.058247
"up to eight"	0.0573064
"cosmetic surgery"	0.0572981
testosterone	0.0572615
angioplasty	0.056829
anthrax	0.0565758
add-on	0.0561451
Rezulin	0.0560614
fungicide	0.0556456
"eminent domain"	0.0553374
psychotherapy	0.055172
Espinosa	0.0550605
"one million US dollars"	0.0548382
"electric shock"	0.0546303
aspirin	0.0544573
creatine	0.0542945
"mustard gas"	0.0541168
Herges	0.0538212
Chemo	0.0534477
augmentation	0.0533813
"nearly @@@ million yuan"	0.0533429
"muscle cell"	0.0532056
Prozac	0.0531438
CFCs	0.0530141
Phentermine	0.0527823
"about @@ billion yuan"	0.0527605
olestra	0.0527053
radium	0.0526964
preservative	0.0526242
detoxification	0.0521489
wastewater	0.0520961
LIPITOR	0.0519942
"about @@@ million yuan"	0.0516252
sedative	0.0515996
Demps	0.0515195
"physical therapy"	0.0508115
heredity	0.0504346
RU-@@@	0.0503309
antihistamine	0.050312
"solar power"	0.0502085
Alpha	0.0500479
Relenza	0.0498821
"one million dollars"	0.0498697
moxie	0.0496848
"nitric oxide"	0.0495484
enzyme	0.049215
"Andy Griffith"	0.0492062
"over @.@ billion yuan"	0.049191
Erythropoietin	0.0490525
inpatient	0.0489327
Propulsid	0.0486879
"Antiquities Act"	0.0485486
Herceptin	0.0484002
tranquilizer	0.0483309
venom	0.0483081
"connective tissue"	0.0483012
"chemical warfare"	0.0482
Benecol	0.0478586
LASIK	0.047699
NHS	0.0474837
"embryonic cell"	0.0474539
adrenaline	0.0474502
Ritalin	0.0472978
nitroglycerin	0.0472608
nitrogen	0.0470682
gerbil	0.046992
anesthesia	0.0467279
webcams	0.0466569
acetaminophen	0.0458681
serum	0.0456675
groundwater	0.0456522
"four billion yuan"	0.045347
"coal gas"	0.045298
vector	0.0451514
Calcium	0.0448256
"lethal dose"	0.0445506
defoliant	0.044517
V-chip	0.0444246
Zoloft	0.0443914
"bone marrow"	0.0443373
Windom	0.044224
Onyx	0.0440001
"Joe Camel"	0.0438936
fizz	0.0432908
"more than @.@ billion yuan"	0.0431493
part-timer	0.0430503
"Ed Yarnall"	0.0429957
transfusion	0.0427929
"Gary Graham"	0.0427266
levity	0.0427018
stents	0.0426394
"rocket fuel"	0.0424717
"ultraviolet light"	0.0424649
ibuprofen	0.0422837
"scientific method"	0.042255
"sign language"	0.0422374
"baking soda"	0.0422067
"Border collie"	0.0421914
"two digits"	0.0421415
circumcision	0.0421125
fluoride	0.0418366
urbanism	0.0418318
Gatorade	0.0416599
"more than @@@ million yuan"	0.0416543
pizazz	0.0415662
T-@@	0.0415263
CPR	0.0414994
Vioxx	0.0413922
gravitas	0.0413758
"Russ Springer"	0.0413413
"vitamin A"	0.0411726
Sarin	0.0408701
voice-overs	0.0406075
camcorder	0.0403898
"electric chair"	0.0403146
antibody	0.0402746
outpatient	0.0402689
biogas	0.040234
herbicide	0.0401535
))
(Botswana (desc 24520.9) (sims
Namibia	0.277877
Malawi	0.26419
Swaziland	0.247454
Zambia	0.234443
Zimbabwe	0.229456
Benin	0.229214
Mozambique	0.228331
Gabon	0.225666
Mauritius	0.22359
Ghana	0.222497
Tanzania	0.220192
Uganda	0.212323
Madagascar	0.212202
Mali	0.200272
Kenya	0.199088
Lesotho	0.198628
Seychelles	0.197467
Senegal	0.196888
Togo	0.195809
Chad	0.192011
Angola	0.191374
Guinea	0.189631
Ethiopia	0.188316
"Burkina Faso"	0.186062
Niger	0.184583
Djibouti	0.182104
"South Africa"	0.181103
"Ivory Coast"	0.179142
Cameroun	0.1781
Burundi	0.168753
Rwanda	0.165975
Algeria	0.162801
Cameroon	0.158307
Nigeria	0.158028
Liberia	0.157802
Gambia	0.157348
Zaire	0.157331
Congo	0.157286
"Republic of Congo"	0.153985
Comoros	0.152666
Sudan	0.151026
Egypt	0.148231
"Cape Verde"	0.147666
"Equatorial Guinea"	0.146948
Tunisia	0.144935
Yemen	0.144237
Mauritania	0.143544
Brunei	0.143245
Bangladesh	0.140392
"Central African Republic"	0.137453
Venezuela	0.135812
"Sao Tome and Principe"	0.132754
Oman	0.132284
"Sierra Leone"	0.131916
"Democratic Congo"	0.131543
Thailand	0.131541
"Democratic Republic of the Congo"	0.130978
Libya	0.130276
"Costa Rica"	0.12999
Malaysia	0.129923
"African country"	0.127894
Nicaragua	0.127723
"Sri Lanka"	0.127505
Eritrea	0.127324
Guinea-Bissau	0.12702
Portugal	0.126748
Bolivia	0.125594
Hungary	0.124809
Uruguay	0.123896
Argentina	0.12348
Ukraine	0.12342
Mongolia	0.122999
Cambodia	0.121944
Greece	0.121831
Morocco	0.121456
Peru	0.120579
Ecuador	0.120326
Uzbekistan	0.11962
"Saudi Arabia"	0.119579
Qatar	0.119443
Bulgaria	0.118771
Poland	0.118139
Somalia	0.117892
Brazil	0.117692
Nepal	0.116802
Pakistan	0.115763
Guyana	0.115231
Armenia	0.115154
India	0.114972
"Guinea Bissau"	0.114656
"Papua New Guinea"	0.113643
Moldova	0.113385
Kazakhstan	0.113383
Laos	0.112117
DRC	0.111543
"United Kingdom"	0.111469
Bahrain	0.111461
Singapore	0.110092
Philippines	0.109915
Romania	0.109781
Kyrgyzstan	0.109518
Albania	0.109469
"Democratic Republic"	0.109292
Panama	0.108799
"African nation"	0.108689
"United Arab Emirates"	0.108526
Iran	0.108222
Colombia	0.107687
Norway	0.106963
Turkmenistan	0.106849
Finland	0.106386
Myanmar	0.106364
Indonesia	0.105685
"El Salvador"	0.105676
"New Zealand"	0.104499
Luxembourg	0.103813
"South Korea"	0.103503
Honduras	0.103131
Azerbaijan	0.102963
Guatemala	0.102953
Austria	0.102629
Mexico	0.10196
Kuwait	0.101785
Botswanan	0.101451
Slovenia	0.101048
Switzerland	0.100912
Canada	0.100391
Maldives	0.100212
Latvia	0.0999593
Syria	0.0991751
Vietnam	0.0984882
Iceland	0.0974709
Britain	0.097409
China	0.0971763
Australia	0.0967662
Belarus	0.0965706
Turkey	0.0964792
Lithuania	0.0961535
Macedonia	0.0960862
"Democratic Republic of Congo"	0.0958997
Belgium	0.0958208
France	0.0956049
Chile	0.0952082
Fiji	0.0951021
"Dominican Republic"	0.0948615
Tajikistan	0.0944627
Haiti	0.0942761
Malta	0.0918906
Africa	0.0916853
Italy	0.0916233
Kazakstan	0.0911493
UAE	0.0909076
Germany	0.0905228
"Czech Republic"	0.0899595
Denmark	0.0897736
"United States"	0.089548
Suriname	0.0886564
Jamaica	0.0882933
Israel	0.0882869
"Central American country"	0.0882748
Republic	0.0882076
Cuba	0.0879765
Russia	0.0873812
Sweden	0.0871983
Montenegro	0.0869631
Paraguay	0.0869151
Afghanistan	0.0857637
Zanzibar	0.0856551
"Asian country"	0.0856401
Cyprus	0.0845287
Croatia	0.0841344
Spain	0.0835262
Slovakia	0.082785
"Trinidad and Tobago"	0.0827013
Estonia	0.0823372
Japan	0.0819617
Netherlands	0.0816042
PNG	0.0806818
Jordan	0.0805958
"European country"	0.0804405
Lao	0.0802207
"Asian nation"	0.0799544
"member country"	0.0799361
Belize	0.0796803
Barbados	0.0791136
Luxemburg	0.0788129
Ireland	0.0785578
Bhutan	0.0772598
"Republic of Korea"	0.0771211
Ingushetia	0.0771094
Yugoslavia	0.0769774
"North Korea"	0.0760886
DPRK	0.0759522
Bosnia	0.0755059
Lebanon	0.0753137
ROK	0.0747059
Taiwan	0.0743483
Kirghizstan	0.0742366
Ivoire	0.0736301
Guangdong	0.0733337
))
(Botswanan (desc 1227.35) (sims
Zairian	0.213544
Camerounian	0.21267
Rwandese	0.196425
Belarusian	0.188436
Ivorian	0.18515
Ecuadorean	0.176039
Azerbaijani	0.175941
Montenegrin	0.173466
Ecuadoran	0.172679
Tajik	0.161758
Moldovan	0.161116
Kyrgyz	0.157111
"Sri Lankan"	0.154801
Uzbek	0.154417
Turkmen	0.153551
"South Vietnamese"	0.146964
Belarussian	0.14225
"Costa Rican"	0.141536
Latvian	0.14082
Kazak	0.13745
Muslim-Croat	0.123694
Kazakh	0.122751
Ukrainian	0.12257
CPAFFC	0.121392
Abkhazian	0.120439
Azeri	0.118768
"South African National Defense Force"	0.118768
Ukranian	0.116563
"Bosnian Muslim"	0.116313
Finnish	0.114807
Estonian	0.114297
"Sierra Leonean"	0.113755
Slovak	0.113639
"South African Airways"	0.113009
Ingush	0.109939
Philippine	0.108591
Kiribati	0.106522
"South Korean"	0.106094
Swazi	0.105505
Maltese	0.105067
Lithuanian	0.104141
Botswana	0.101451
Slovakian	0.10049
Turkish	0.0986737
"U.S. Soccer Federation"	0.0978129
"Bosnian Serb"	0.0950863
"North Korean"	0.0921595
"Northern Irish"	0.0904648
"Russian Interior Ministry"	0.0888314
"Business Day"	0.0886496
UML	0.0881854
"East African"	0.0872208
Swedish	0.0871752
PNG	0.0869429
"Saudi Arabian"	0.0866344
Danish	0.086014
Namibian	0.0851616
Gurkha	0.0848403
Kuomintang	0.0839457
Lao	0.0815249
AHA	0.079702
DFB	0.0796103
Armenian	0.0788513
Fein	0.0788018
Hesse	0.0780952
IDF	0.0777361
INTERFET	0.0777103
EBRD	0.0765291
"Wine Institute"	0.0764933
"U. N."	0.0759719
Sandinista	0.075476
AOC	0.0750655
Malawian	0.0750137
"Greek Cypriot"	0.0739374
ragtag	0.0732201
"CBS Sports"	0.0725755
pro-western	0.0725214
"Afghan Taliban"	0.0717215
"North Vietnamese"	0.0714992
"Independent Electoral Commission"	0.0714208
"British Foreign Office"	0.0711605
PSE	0.0706353
UPDF	0.0704999
IMS	0.0702792
ZCTU	0.0687248
"EU Commission"	0.0683943
slain	0.0681178
"roughly @,@@@"	0.067965
HKFA	0.0677246
hardline	0.067682
OCA	0.0675709
Taleban	0.0675493
"Bosnian Croat"	0.0671691
"Ketumile Masire"	0.0666524
Hutu	0.0661845
CWA	0.0658122
"ABC Sports"	0.0657265
BSA	0.0654854
UMNO	0.0653558
"Labor office"	0.0653128
Icelandic	0.0647077
CASS	0.0644875
PDVSA	0.0643708
plainclothes	0.0639383
"Trade and Industry"	0.0629756
"Inkatha Freedom Party"	0.0629032
Senegalese	0.0625944
"regular army"	0.0623493
Croat	0.0615471
Sowetan	0.0613768
SPC	0.0612691
CCPIT	0.0611703
CNOOC	0.060653
Banyamulenge	0.0605811
Gendarme	0.0602943
"Almost three-quarters"	0.0602919
"Israel Defense Forces"	0.0602745
"Southeast Asian"	0.0601491
Luxemburg	0.0598727
"Pan Africanist Congress"	0.0598208
occupying	0.0597552
ITTF	0.0596963
"the US"	0.059665
"Central American"	0.059495
Okinawan	0.0594171
Chechen	0.0589976
MPAA	0.0588394
"senior class"	0.0587112
SDB	0.0582854
"Southern African Broadcasting Association"	0.0580188
Tadzhikistan	0.0575282
Cote	0.0575268
Qing	0.0573312
Rawabdeh	0.0572284
Surinam	0.0570594
ATA	0.0570526
SFOR	0.0570519
IU	0.0569446
"Police Commission"	0.0565214
BSF	0.056495
NARAL	0.0563787
CCB	0.0561446
leone	0.0561129
"Western European"	0.0556511
IFOR	0.0556135
"United Nations High Commission for Refugees"	0.0555917
"Yugoslav Army"	0.0552185
UC	0.054628
"Around @@@"	0.0545032
"International Criminal Tribunal for Rwanda"	0.0544677
DLC	0.0543916
CFA	0.0543675
"Turner Sports"	0.0542772
"Winnie Madikizela-Mandela"	0.0542118
"Two hundred"	0.0539617
Comoros	0.0538255
"Port Authority"	0.0538069
"Agence France Presse"	0.0534656
"Delta Force"	0.0533544
AFP	0.0532039
TNI	0.0530691
pro-Islamic	0.052763
ISU	0.0527389
"another seven"	0.0527249
Talebi	0.0522099
"East German"	0.0519252
"New South Wales"	0.0519094
royalist	0.0517223
gendarmerie	0.0516315
DP	0.0516256
"Fort Hood"	0.0515401
Thirty-four	0.0512411
Mister	0.0512273
eroding	0.0511012
UNIP	0.0509921
"Royal Ulster Constabulary"	0.0509151
Seychelles	0.0505416
Somaliland	0.0503537
"D.R Congo"	0.0502009
Cr	0.0500824
"U. S."	0.0500671
djw	0.050023
infidel	0.0498947
ITC	0.0497605
"Nihon Keizai"	0.0496597
USTA	0.0495926
ARATS	0.0494867
"Turkish Cypriot"	0.0494012
investigating	0.0493529
IMG	0.0492998
UNIFIL	0.0492877
ex-communist	0.0492143
"up to @@,@@@"	0.0491429
Kabariti	0.048853
"another @@,@@@"	0.048599
"Lagos State"	0.0483957
"Muslim-Croat Federation"	0.0482887
"roughly @@@"	0.0481883
"United Nations High Commissioner for Refugees"	0.0477965
"home rule"	0.0477761
))
(Bottenfield (desc 2546.44) (sims
Mercker	0.300735
Petkovsek	0.279758
Trachsel	0.26922
Dempster	0.267045
Pavano	0.263083
Harnisch	0.252719
Moehler	0.245071
Hentgen	0.242259
Schoeneweis	0.237544
Lieber	0.235497
Candiotti	0.235051
"Russ Ortiz"	0.234937
Kile	0.227299
Tapani	0.222448
Rusch	0.220152
Eldred	0.216288
Daal	0.21622
Belcher	0.214139
"Eric Milton"	0.213182
Ankiel	0.212874
Halama	0.21244
Fassero	0.211605
Bohanon	0.210947
Hermanson	0.209706
Nagy	0.209149
Radke	0.206905
Olivares	0.204168
Arrojo	0.203756
Elarton	0.202642
Rueter	0.19996
Perisho	0.199245
"Jon Lieber"	0.198918
Mlicki	0.197569
Astacio	0.195687
Schourek	0.194124
Burkett	0.193464
Saberhagen	0.19324
Benes	0.192548
Moyer	0.191884
Yoshii	0.1915
Gagne	0.189697
Reynoso	0.187879
Mussina	0.186345
"Woody Williams"	0.18475
Checo	0.184728
Millwood	0.184348
"Brian Moehler"	0.183969
Helling	0.183251
Bere	0.182528
"Jason Bere"	0.182297
Sele	0.181693
"Kent Bottenfield"	0.179181
Burba	0.178236
Wakefield	0.177829
Hershiser	0.17516
Woodard	0.174733
Stottlemyre	0.174634
Mulholland	0.173952
Tomko	0.173505
Parris	0.173372
Dotel	0.173055
Herges	0.171697
Smoltz	0.171258
Leiter	0.171005
Gooden	0.17091
"Chris Carpenter"	0.170687
Dreifort	0.169877
Mahomes	0.169536
Glavine	0.169483
Suppan	0.167776
Mantei	0.167399
"Kirk Rueter"	0.166979
Meadows	0.165751
Neagle	0.165162
Remlinger	0.16397
"Dave Burba"	0.163872
Loaiza	0.163344
"Pat Hentgen"	0.16286
D'Amico	0.162527
Borbon	0.162086
Nomo	0.161086
Meche	0.160782
Maddux	0.160701
Washburn	0.158298
"Mark Gardner"	0.157513
Percival	0.156278
Etherton	0.155504
Valdes	0.15526
"Jesus Sanchez"	0.153437
Stephenson	0.153317
Rapp	0.152982
"Jamey Wright"	0.152051
"Javier Vazquez"	0.151847
"Gil Heredia"	0.151827
Hampton	0.151093
"Steve Trachsel"	0.151036
"Brian Bohanon"	0.150316
Heredia	0.150189
"Mike Hampton"	0.14979
Schilling	0.149774
Cloude	0.149753
Erickson	0.149236
Vazquez	0.148145
"BRIAN MEADOWS"	0.148106
Haynes	0.148054
Finley	0.147678
"Bryce Florie"	0.147576
Irabu	0.147464
"Kevin Tapani"	0.146803
"Chuck Finley"	0.145345
"Jason Schmidt"	0.145173
Witt	0.144869
"Dustin Hermanson"	0.144155
"Steve Sparks"	0.143861
"Shane Reynolds"	0.143803
Osuna	0.143756
Yarnall	0.142977
Pettitte	0.142706
"Bill Pulsipher"	0.142402
Isringhausen	0.141338
"Masato Yoshii"	0.141051
"Omar Olivares"	0.14087
"Jeff Fassero"	0.140817
"John Burkett"	0.14067
"Dave Mlicki"	0.14054
"Chan Ho Park"	0.140421
Wendell	0.139736
"John Snyder"	0.13913
Mendoza	0.138419
"Armando Reynoso"	0.138291
Appier	0.136616
"Carl Pavano"	0.135844
"Steve Parris"	0.133466
"Brad Radke"	0.13318
"Francisco Cordova"	0.132863
Wetteland	0.132809
Pulsipher	0.132808
Ashby	0.132326
"Jim Parque"	0.131842
"Al Leiter"	0.131406
Wohlers	0.131394
"Mike Sirotka"	0.130893
"Freddy Garcia"	0.130802
"Shawn Estes"	0.130445
"Brian Anderson"	0.130326
"Scott Erickson"	0.13032
"Andy Ashby"	0.130277
"Jeff Weaver"	0.130178
"Rick Helling"	0.129566
"Darryl Kile"	0.129389
"Terry Mulholland"	0.129372
"Matt Morris"	0.129298
Wickman	0.129035
"Hideo Nomo"	0.128996
"Paul Shuey"	0.128301
"Kevin Appier"	0.12783
"Brian Rose"	0.127333
Hudek	0.127212
"Esteban Loaiza"	0.127138
"Aaron Sele"	0.127066
estes	0.127055
Baldwin	0.126674
Avery	0.12651
"John Halama"	0.126391
"Ron Villone"	0.126204
Guzman	0.126038
"Ramon Martinez"	0.12602
"Mark Petkovsek"	0.125871
Rojas	0.125658
Dickson	0.125629
Ligtenberg	0.125588
Ortiz	0.125541
"Bartolo Colon"	0.125349
"Hideki Irabu"	0.125297
"Tim Hudson"	0.12433
McDOWELL	0.123656
"Paul Abbott"	0.123347
"Robb Nen"	0.123317
"Randy Myers"	0.122318
Glynn	0.1216
"Rick Reed"	0.121406
"Darren Oliver"	0.12102
"Jamie Moyer"	0.120676
Schmidt	0.119383
"Andy Benes"	0.119366
Wasdin	0.118575
"Tim Belcher"	0.118474
"Danny Graves"	0.118078
Cordero	0.117633
"Matt Herges"	0.117618
"Scott Karl"	0.116893
"Matt Mantei"	0.116436
Cordova	0.116232
"Mark Portugal"	0.116046
"Todd Stottlemyre"	0.115777
"Mike Mussina"	0.11491
"Mike Timlin"	0.114889
"Rick Aguilera"	0.114604
"Pedro Astacio"	0.114355
"David Cone"	0.11416
"Bret Saberhagen"	0.11377
"Byung-Hyun Kim"	0.113636
Embree	0.113523
"Denny Neagle"	0.113518
Clemens	0.113146
Gardner	0.112711
"Curt Schilling"	0.112531
fetter	0.112515
"Brett Tomko"	0.112452
"Russ Springer"	0.112279
"Carlos Perez"	0.112218
"Mike Remlinger"	0.112081
colon	0.111946
Navarro	0.111924
"Sidney Ponson"	0.111921
"Octavio Dotel"	0.111827
Langston	0.11141
"Paul Byrd"	0.111393
"Dan Miceli"	0.111376
"Tom Glavine"	0.111334
Cormier	0.111295
"Brad Penny"	0.110895
"Rolando Arrojo"	0.110641
"Ismael Valdes"	0.110503
Benitez	0.110488
"Pat Rapp"	0.110321
Reynolds	0.110254
"Doug Henry"	0.109841
"Doug Glanville"	0.109486
Milton	0.109457
"Mike Morgan"	0.109409
Hasegawa	0.109163
"Darren Dreifort"	0.109008
"Jose Mesa"	0.108833
"Jaret Wright"	0.108358
Swindell	0.1082
"Tim Wakefield"	0.108192
Bergman	0.108141
Aguilera	0.10784
"Ramon Ortiz"	0.107644
Hernandez	0.107629
"Turk Wendell"	0.106849
right-hander	0.106834
"Willie Blair"	0.106778
"John Smoltz"	0.106727
Zito	0.106527
"Kent Mercker"	0.106442
"Scott Williamson"	0.106417
"Joey Hamilton"	0.106192
"Greg Maddux"	0.105505
Contreras	0.10524
"Dennis Cook"	0.105178
"Jose Jimenez"	0.104988
"Roger Clemens"	0.104877
"Tom Candiotti"	0.104677
Sparks	0.104661
"Mark Clark"	0.10461
"Pete Harnisch"	0.104437
"Jose Paniagua"	0.104402
Perez	0.104392
"El Duque"	0.104362
Nunez	0.103982
Grimsley	0.103915
Nevin	0.103839
"Orlando Hernandez"	0.10368
Escobar	0.103327
"Scott Sullivan"	0.103175
"Kerry Wood"	0.103139
"STEVE WOODARD"	0.103066
Martinez	0.102834
"Greg McMichael"	0.102532
"Wilson Alvarez"	0.10244
Dunston	0.102047
"John Wasdin"	0.101951
"Shigetoshi Hasegawa"	0.101874
"Brian Cooper"	0.100752
"James Baldwin"	0.100655
Wells	0.100573
Ritchie	0.100541
"Pat Mahomes"	0.100403
"Pedro Borbon"	0.100269
Lieberthal	0.100011
))
(bottle (desc 86255.1) (sims
glass	0.174722
container	0.163446
jar	0.163089
jug	0.149629
bag	0.146857
can	0.133193
box	0.13314
carton	0.132205
"water bottle"	0.130621
"beer bottle"	0.124121
cup	0.11875
pot	0.117166
vial	0.115514
Beer	0.113232
bucket	0.105648
"beer can"	0.105454
wine	0.10314
drink	0.102537
pint	0.101558
sip	0.101378
suitcase	0.0995923
stone	0.0976614
brick	0.0975153
tray	0.0973326
vase	0.0970894
cloth	0.0966807
gallon	0.0948567
tube	0.0939361
bowl	0.0930017
firebomb	0.0929857
crate	0.092233
dish	0.0917397
shoe	0.0894428
"soft drink"	0.0875526
champagne	0.0872291
Coin	0.0871253
knife	0.0870376
tank	0.0869159
soda	0.0866482
canister	0.0864984
quart	0.0864159
rock	0.0855424
candy	0.0853524
Tin	0.0852676
item	0.0852606
barrel	0.0846189
T-shirt	0.0841205
gun	0.0838296
stick	0.0838045
packet	0.0834652
toy	0.0829889
cigarette	0.0814313
object	0.0814199
plastic	0.080836
egg	0.0806908
envelope	0.0804584
Clothing	0.0803409
coffee	0.0802733
briefcase	0.0802179
beverage	0.0800341
food	0.0795621
brand	0.0789189
pipe	0.0788099
chair	0.0787317
towel	0.0781125
piece	0.0780533
flower	0.0773537
plate	0.0769858
cooler	0.0769787
lamp	0.0769254
furniture	0.0767043
"paper bag"	0.0766842
hat	0.076517
package	0.0764885
sheet	0.0762992
candle	0.0753949
sandwich	0.0752896
pack	0.0752488
shirt	0.0746019
tub	0.0741183
product	0.0741056
refrigerator	0.073838
tire	0.0735215
cake	0.0732921
machine	0.0732368
backpack	0.0729561
blanket	0.072894
tile	0.0724419
Shell	0.0721867
car	0.0721615
mattress	0.0721288
Grenade	0.0721017
bat	0.0718894
six-pack	0.0715821
liter	0.0708859
kit	0.0705166
handgun	0.070378
tablet	0.0703353
meal	0.0701653
fruit	0.070032
cylinder	0.0699803
milk	0.0699211
rifle	0.0696243
truck	0.0695844
doll	0.0695094
poster	0.0693629
card	0.0693595
water	0.0693355
drum	0.0692132
pen	0.0689994
jewelry	0.0689886
pillow	0.0689453
CD	0.0687035
napkin	0.0686725
pistol	0.0685149
pan	0.0684606
bomb	0.0683535
mug	0.0682888
jacket	0.0682402
trash	0.0682117
wallet	0.0681655
urn	0.0680479
book	0.0680354
shard	0.0679792
ticket	0.0679305
"coffee cup"	0.0678855
pill	0.0676699
chocolate	0.0676355
syringe	0.0674506
gasoline	0.0674239
firecracker	0.067392
flashlight	0.0672821
"hand grenade"	0.0670235
copy	0.0670204
debris	0.0666496
kettle	0.0664906
glove	0.066182
metal	0.0661405
ball	0.0660154
sack	0.0659643
diaper	0.0659295
Cigar	0.0655617
packaging	0.0654855
condom	0.0653042
Garbage	0.0652106
liquor	0.0651055
cooky	0.0651004
basket	0.0647918
Spoon	0.0647861
ashtray	0.0647274
"shopping bag"	0.064725
sock	0.0646257
pail	0.0645416
"baseball bat"	0.064264
paint	0.0641157
Pottery	0.0641012
bread	0.0640128
ornament	0.0638381
bullet	0.0637771
balloon	0.0636143
camera	0.0635553
helmet	0.0635401
vegetable	0.0634144
broom	0.0632674
shotgun	0.0632332
pie	0.0632296
grape	0.0631354
bar	0.0631331
battery	0.0631085
juice	0.0630216
rod	0.0629446
"teddy bear"	0.0627426
paper	0.0626387
material	0.0626331
chicken	0.0625772
Concrete	0.0625482
cap	0.062484
tea	0.0624277
meat	0.0623131
shovel	0.0622724
needle	0.0621013
merchandise	0.0620078
window	0.0618561
wrapper	0.0618111
chunk	0.0617341
machete	0.0616718
"trash can"	0.0615881
"gas tank"	0.0614023
pad	0.0613288
"piece of paper"	0.0612035
"hot dog"	0.0611626
salad	0.0611505
"garbage can"	0.0610885
vodka	0.0610243
disk	0.0608393
coffin	0.0608188
tree	0.0607996
Bin	0.0607393
rug	0.0607146
dose	0.0607008
))
(bottleneck (desc 12706.8) (sims
congestion	0.119279
constraint	0.116932
"traffic jam"	0.111035
imbalance	0.108098
disruption	0.107556
impediment	0.106254
gridlock	0.105405
obstacle	0.102056
"liquidity problem"	0.0955536
snafu	0.095495
snag	0.0949699
shortage	0.0945587
"stumbling block"	0.0945075
deficiency	0.093523
glut	0.0930446
"cash crunch"	0.092946
inefficiency	0.0916692
crunch	0.0872627
foul-up	0.0866929
"red tape"	0.0857148
difficulty	0.0848198
overheating	0.0838208
backlog	0.0830883
barrier	0.0828021
"power failure"	0.0825837
hindrance	0.0811525
glitch	0.0808981
logjam	0.0796229
scarcity	0.079118
hiccup	0.0787694
infrastructure	0.0770097
outages	0.0755228
shortfall	0.0752271
interruption	0.0751422
efficiency	0.0746172
shortcoming	0.0741989
roadblock	0.0741578
"water pollution"	0.0734272
"weak point"	0.0732618
hassle	0.0724528
oversupply	0.072429
snarl	0.072312
inconvenience	0.0719486
breakdown	0.0714822
kink	0.0713629
instability	0.0705379
disparity	0.0701473
artery	0.0701148
degradation	0.0699363
"soil erosion"	0.069356
anomaly	0.069117
Problems	0.0690634
burden	0.0687472
"debt problem"	0.0681244
"health problem"	0.0680929
overcapacity	0.0680278
defect	0.0679904
hurdle	0.0675232
"language barrier"	0.0672972
headache	0.0669041
flaw	0.0667614
slowdown	0.0663915
"price pressure"	0.066295
"safety problem"	0.0651386
irritant	0.0647888
liquidity	0.0647885
"brain drain"	0.0647165
improvement	0.0645558
stagnation	0.0644711
redundancy	0.0643288
inequity	0.06413
capacity	0.0640698
pollution	0.0636057
"acid rain"	0.063524
disincentive	0.0635234
drawback	0.0634112
deterioration	0.0632904
blockage	0.0632484
misunderstanding	0.0630624
erosion	0.0629421
"moral hazard"	0.0628133
rigidity	0.0627377
outage	0.0627081
wrinkle	0.0624413
hazard	0.0617514
traffic	0.061175
distortion	0.0611212
"trade barrier"	0.0609354
hardship	0.0607142
deflation	0.0605762
overlap	0.0599407
"financial loss"	0.0598778
duplication	0.0598297
"air pollution"	0.0597371
"market correction"	0.0594094
fluctuation	0.0593797
linkage	0.0593662
overpopulation	0.0591032
"asthma attack"	0.0589466
crises	0.0585334
leakage	0.0584242
weakness	0.0583342
inequality	0.0583214
malnutrition	0.0580764
cutback	0.0580526
downturn	0.0579168
blockade	0.0578955
woe	0.0574646
"driving force"	0.0572898
blackout	0.0572388
tie-up	0.0570767
inadequacy	0.0568728
irregularity	0.0567967
desertification	0.056525
backbone	0.0562388
bandwidth	0.0561153
rationing	0.0559169
catastrophe	0.0558918
chaos	0.055875
"blood clot"	0.0558071
mishap	0.0557449
gap	0.0557133
famine	0.0555938
boom	0.0555753
rupture	0.0555423
restriction	0.0553867
Limitation	0.0553241
"competitive advantage"	0.0551105
"trunk line"	0.0551026
drought	0.0550829
"production problem"	0.0549821
mix-up	0.0549407
insufficiency	0.0549187
paralysis	0.0548907
condensation	0.0547023
"side effect"	0.0543716
toxicity	0.0542825
turbulence	0.0542286
malfunction	0.0541435
reflux	0.0540947
constipation	0.0540101
complication	0.0539201
confusion	0.0538873
calamity	0.0538737
hub	0.0532691
"price increase"	0.0531662
"bank failure"	0.0529863
slippage	0.0529779
ill	0.0529706
uncertainty	0.0529702
heartburn	0.0529416
indigestion	0.0525297
variability	0.0524496
"blind spot"	0.052398
contraction	0.0523973
deforestation	0.0523451
depletion	0.0521696
misstep	0.0521683
sluggishness	0.0520984
hang-up	0.05199
distraction	0.0519715
complementarity	0.0519557
overload	0.0518812
"hot flash"	0.0517023
impetus	0.0514899
presure	0.0514044
contradiction	0.0513894
poverty	0.051313
subsector	0.0512691
discrepancy	0.0512591
upheaval	0.0511122
insecurity	0.0510799
contamination	0.050987
"building block"	0.0509807
requirement	0.0509295
vacancy	0.0509078
malformation	0.0508548
commotion	0.0506952
pitfall	0.0506392
consequence	0.0505026
unemployment	0.0503328
dilemma	0.0502672
hitch	0.0502665
dependency	0.0502017
lifeline	0.0501985
loophole	0.0501948
imperfection	0.0501517
clot	0.0501224
"fatal accident"	0.0500357
Haze	0.0499368
cog	0.0498335
mutation	0.0496951
divergence	0.0496918
"crisis situation"	0.049642
setback	0.0495591
vacuum	0.049553
mess	0.049524
clotting	0.0495192
embarrassment	0.0493477
disturbance	0.0492928
))
(bottler (desc 9087.99) (sims
bottlers	0.247883
"Coca-Cola Enterprises"	0.173019
CCE	0.146371
"banking company"	0.111174
Pepsico	0.106422
Cadbury	0.10448
"life insurer"	0.0997045
"software maker"	0.0990731
"bank holding company"	0.0982718
"toy maker"	0.0892079
brokerage	0.0885848
"cable operator"	0.0878234
issuer	0.0871183
"defense contractor"	0.0866057
"Coca-Cola Co."	0.0860756
"department store chain"	0.0839428
"soft drink"	0.0838425
automaker	0.0835124
"Cadbury Schweppes"	0.0826876
distributor	0.0819259
"telephone company"	0.0813633
marketer	0.0808626
carmaker	0.0800557
Comsat	0.0792039
"food company"	0.0790531
"Learning Co."	0.0786322
"Pepsico Inc."	0.0785059
Georgia-Pacific	0.0777469
SmithKline	0.0764487
"toy retailer"	0.0760874
Coca-Cola	0.0758212
insurer	0.0753822
"brokerage firm"	0.0745233
"auto maker"	0.0742459
Delphi	0.0738002
"electronics company"	0.0736405
wholesaler	0.0727669
Orangina	0.0725199
"drug maker"	0.0723685
toymaker	0.0723647
shipbuilder	0.0723303
coke	0.0720677
"ad agency"	0.071637
Cerent	0.0704108
McKesson	0.0694224
Nabisco	0.069334
"phone company"	0.0690502
"Rite Aid"	0.0690187
Pepsi	0.0687091
"mining company"	0.068603
Seagram	0.0684959
Aetna	0.0678654
chipmaker	0.0678633
steelmaker	0.0678206
"holding company"	0.067445
ISP	0.0674398
"retail chain"	0.0667826
Ingram	0.066509
"trucking company"	0.0654795
grocer	0.0653853
XYLAN	0.0653267
"tire maker"	0.0651274
Equifax	0.0650523
"newspaper publisher"	0.0649988
drugmaker	0.0648418
"transportation company"	0.0648207
conglomerate	0.0646611
Gillette	0.0644886
archrival	0.0644806
"futures exchange"	0.0640941
retailer	0.063941
supplier	0.0639313
"car maker"	0.0638211
airline	0.0636364
REIT	0.0632695
BankAmerica	0.0630705
"RJR Nabisco"	0.062865
distributorship	0.0628175
"insurance company"	0.0621016
beverage	0.0615427
ARCO	0.0612891
assembler	0.061047
MCI	0.0610201
"power company"	0.0609484
Qwest	0.0609197
Seagate	0.0608153
"auto company"	0.0608041
PRIMESTAR	0.0604474
"brokerage house"	0.0603985
"advertising agency"	0.060356
"Southern Co."	0.0602879
"MCI WorldCom"	0.0602442
subsidiary	0.0599152
grower	0.0597255
"investment trust"	0.0596977
Tropicana	0.0593359
utility	0.0592224
"health maintenance organization"	0.0590882
Pfizer	0.0590336
BellSouth	0.0589165
VoiceStream	0.0586556
"Bankers Trust"	0.0584258
Ciena	0.0583866
Petrofina	0.0581556
GeoCities	0.0581351
Livent	0.0579862
"shipping company"	0.0577117
refiner	0.0575441
EarthLink	0.0574741
ALZA	0.0574476
"accounting firm"	0.0572582
operator	0.057252
carrier	0.0572277
Nextel	0.057205
RJR	0.0571734
"finance company"	0.0570815
"oil producer"	0.0569972
Bestfoods	0.0569207
"Gillette Co."	0.0568333
importer	0.0568082
"U S West"	0.0567861
"car manufacturer"	0.0567409
"Coca Cola"	0.0567288
"Atlantic Richfield Co."	0.0567252
Mattel	0.0564053
"Digital Equipment Corp."	0.0564029
"HBO &AMP; Co."	0.0564026
"travel agency"	0.056246
"insurance broker"	0.0561169
PolyGram	0.0559669
ABB	0.0558688
"Delta Air Lines"	0.0557175
Nortel	0.0556494
"Home Depot"	0.0554807
"vending machine"	0.0554304
Nestle	0.0553832
"TV network"	0.055383
MiniMed	0.055284
TCI	0.0551153
"employment agency"	0.0548106
bookseller	0.0547996
seller	0.0547057
"steel company"	0.0546392
"restaurant chain"	0.0545689
"Time Warner"	0.0545666
WorldCom	0.0543486
brewery	0.054306
China.com	0.0542853
RCN	0.0541972
"Cox Communications"	0.0540982
"Times Mirror Co."	0.0540164
"Procter &AMP; Gamble"	0.0539342
"Thermo Electron"	0.0538909
"electric company"	0.0538713
polluter	0.0538524
multinationals	0.0538267
"Mobil Corp."	0.0537287
exporter	0.0537187
Genzyme	0.053581
"Chevron Corp."	0.0533067
AltaVista	0.0532354
"Bankers Trust Corp."	0.0531095
"U.N. World Food Program"	0.0530999
Mediaone	0.0530826
Telecom	0.0526587
"Network Solutions"	0.0526192
"U.S. Trust"	0.0526114
UAL	0.0525307
subcontractor	0.0525166
YPF	0.0523424
"Bay Networks"	0.0522508
"United Parcel Service"	0.0521329
"GTE Corp."	0.0521237
Cisco	0.0521099
"business unit"	0.0520714
"Philip Morris"	0.0518315
"Columbia Pictures"	0.0517867
WebMD	0.0516206
"U.S. Immigration and Naturalization Service"	0.0515611
Litton	0.0515519
"savings bank"	0.0513643
Scania	0.0513437
"savings and loan"	0.0510786
YankeeNets	0.0510486
"publishing company"	0.051018
franchisee	0.0510038
NationsBank	0.0509917
REVLON	0.0509387
Agilent	0.0509181
lender	0.0509097
"commercial bank"	0.0508128
SBC	0.0507906
"financial institution"	0.0505978
Kodak	0.0505522
E-LOAN	0.0505294
"television network"	0.050516
stockholder	0.0503286
contractor	0.0503129
brewer	0.0503071
cola	0.0501529
))
(bottlers (desc 7188.02) (sims
bottler	0.247883
refiner	0.13125
wholesaler	0.129611
ISPs	0.125623
"Coca-Cola Enterprises"	0.121203
automakers	0.112506
"cable operator"	0.11193
distributor	0.109961
CCE	0.109819
resellers	0.105419
"phone company"	0.097449
dealerships	0.09533
"food company"	0.0951519
franchisees	0.0935712
retailer	0.0934537
shipper	0.0906673
"telephone company"	0.0892663
supplier	0.0890882
insurer	0.0888363
"brokerage firm"	0.0858259
"subsidiary company"	0.0857453
"ad agency"	0.0853782
vendor	0.0853042
"brokerage house"	0.0844608
"Russian bank"	0.0833675
"business line"	0.083072
carmakers	0.08303
"auto maker"	0.0821775
manufacturer	0.0816221
"financial institution"	0.0807591
"steel company"	0.0802878
distiller	0.0796899
brewery	0.0795741
grocer	0.0791738
Cadbury	0.0784902
grower	0.0779187
dealer	0.0776759
"trucking company"	0.0776256
vintner	0.0769589
issuers	0.0768821
"funeral home"	0.0761939
brokerage	0.0758761
middlemen	0.0758642
provider	0.0758606
utility	0.0752094
"power company"	0.0751706
"car manufacturer"	0.0750979
winery	0.0750185
consortia	0.0742875
"insurance company"	0.074227
"insurance firm"	0.073497
"retail operation"	0.0731682
"soft drink"	0.0731154
assembler	0.0727221
marketers	0.0725465
"health care provider"	0.0724024
"toy maker"	0.0723396
multinationals	0.0723117
"accounting firm"	0.0711671
Cargill	0.0711579
contractor	0.0709647
"bus company"	0.0706643
"Hollywood studio"	0.0706348
merchant	0.0704673
broker	0.0701831
"travel agent"	0.0701333
corporation	0.069303
"advertising agency"	0.0689648
drugmakers	0.0689111
"travel agency"	0.0687583
"defense contractor"	0.0686303
subsidiary	0.0685911
importer	0.0685093
"life insurer"	0.0683232
"commercial bank"	0.0681731
stockholder	0.0681203
"retail store"	0.0680453
affiliate	0.0679689
"publishing house"	0.067957
"minority stake"	0.0677192
salespeople	0.0676928
"mining company"	0.0675258
"service station"	0.0673638
"finance company"	0.0672558
nonprofits	0.0671471
"auto company"	0.0671056
"financial organization"	0.0669163
Pepsi	0.066658
"Pepsico Inc."	0.0664048
"opera company"	0.0660461
"Internet Service Providers"	0.0659455
Orangina	0.0659123
"union worker"	0.0658868
"electric company"	0.0657427
"Baby Bells"	0.06569
REITs	0.0654486
"three pitchers"	0.0650598
"TV station"	0.0649705
advertiser	0.0647124
operator	0.0646136
"banking company"	0.0642097
"cable system"	0.0641558
"vending machine"	0.0641308
"software maker"	0.0640874
seller	0.064059
bookseller	0.0637515
archrival	0.0633584
"movie studio"	0.0632064
carrier	0.0627899
"delivery truck"	0.0627841
"drug maker"	0.0626782
trader	0.0626673
"oil producer"	0.0626399
"market maker"	0.0626237
"parcel of land"	0.0624395
Airlines	0.0624206
developer	0.0622488
winemaker	0.0621298
lender	0.0618035
shareholder	0.0616117
policyholder	0.0615945
"media property"	0.0615682
steelmaker	0.0615213
"car dealer"	0.0606883
beverage	0.0606452
"venture capitalist"	0.0606331
"distribution system"	0.0603191
bureaus	0.0602077
businessmen	0.0601734
"bank failure"	0.0600994
Programmer	0.0600505
"Procter &AMP; Gamble Co."	0.059885
"community newspaper"	0.0598039
outlet	0.0597528
Gunmakers	0.0597363
"pension fund"	0.0596476
Equifax	0.0596068
"specialty store"	0.0595572
processor	0.0595505
"shipping company"	0.0594641
"commercial enterprise"	0.0594522
polluters	0.0593792
coke	0.0591367
"business unit"	0.0590387
"business traveler"	0.0590358
"repair shop"	0.0590261
"retail chain"	0.0587692
Georgia-Pacific	0.0585392
"business organization"	0.0584583
"work unit"	0.0583719
"TV network"	0.0582934
conglomerate	0.0580099
creditor	0.0577948
Pepsico	0.0577363
"electronics company"	0.057716
Ingram	0.0576397
"employment agency"	0.0576272
"home builder"	0.0574663
"property owner"	0.0574456
"publishing company"	0.0572737
exporter	0.0571772
"manufacturing plant"	0.05712
regulator	0.0569134
"Bankers Trust Corp."	0.0569093
metropolises	0.0569019
PolyGram	0.056797
"transportation company"	0.056777
"liquor store"	0.056472
"car maker"	0.0563245
"Western Union"	0.0562902
"department store"	0.0561579
"dairy farmer"	0.0560934
shopkeeper	0.0559796
Pharmacy	0.0556814
subcontractor	0.0556599
Coca-Cola	0.0556414
"New York Republicans"	0.055535
"Frontier Corp."	0.0555235
"copper mine"	0.055416
corporates	0.0552966
"film maker"	0.0552491
B-@s	0.0551662
webcams	0.05511
distributorship	0.0550673
"branch office"	0.0548576
hemophiliac	0.0547992
shipowner	0.0546717
underwriter	0.0546523
QBs	0.0546298
"investment trust"	0.0543075
landowner	0.0542866
"Cadbury Schweppes"	0.0542825
foothold	0.0542268
hypermarket	0.0542076
"educational institution"	0.0541703
marketer	0.0540723
Rolls-Royce	0.0540528
"investment house"	0.0538741
SOEs	0.0536799
"GTE Corp."	0.0536649
))
(bottom (desc 100520) (sims
top	0.190376
surface	0.102323
edge	0.100585
side	0.0943703
floor	0.0911631
ninth	0.0880263
eighth	0.0875866
inside	0.0872271
"bottom of the inning"	0.0869976
back	0.0848377
seventh	0.0794215
sixth	0.0777209
wall	0.0771457
pan	0.0754455
fifth	0.0748513
front	0.0737828
fourth	0.0712597
middle	0.0708007
corner	0.0702446
inning	0.070122
feet	0.0692414
rim	0.0689521
third	0.0683047
"ocean floor"	0.0650472
ground	0.0643948
rear	0.063936
underside	0.0637892
sheet	0.0629329
depth	0.0628511
plate	0.0603448
half	0.0586216
table	0.0583559
Foot	0.0579197
roof	0.0577344
mouth	0.0573093
layer	0.0566097
sea	0.0559389
chest	0.055574
heart	0.0548135
frame	0.0546489
bed	0.0546038
spot	0.0543873
shore	0.0540813
pant	0.0536787
water	0.0532106
center	0.0528268
low	0.0526941
door	0.052258
level	0.0517537
piece	0.0516302
desk	0.0516259
shelf	0.0515741
beginning	0.0512478
hole	0.0506974
bag	0.0506008
rack	0.0505661
beach	0.0497648
belly	0.049736
row	0.0496271
size	0.0493801
pavement	0.0489623
window	0.0488869
bowl	0.0486108
ceiling	0.0485261
site	0.0482465
ICE	0.0480182
lid	0.0474133
deck	0.0473058
earth	0.0468245
screen	0.0467433
pocket	0.0467329
field	0.0467261
forehead	0.0466024
trunk	0.0465708
leg	0.0463955
stomach	0.0463367
at-bat	0.0463354
slope	0.0461845
skin	0.0461295
shoe	0.04603
lip	0.0456392
box	0.0454988
skillet	0.0451319
dock	0.0450828
square	0.0448094
gate	0.0444034
heel	0.044292
"No. @@"	0.0442465
seat	0.044167
dough	0.0441279
street	0.0438254
canvas	0.0437666
shoulder	0.0436147
mountain	0.0435838
forefront	0.0435125
stretch	0.0434678
slice	0.0433495
pile	0.0433366
section	0.0432967
pair	0.0432289
skirt	0.0430335
"Game @"	0.0430144
crust	0.0430039
tray	0.0428856
entrance	0.0428489
shape	0.0428242
trouser	0.0427682
height	0.0427561
bar	0.0426505
page	0.0426141
peak	0.0424339
pole	0.0421624
"No. @"	0.0421563
angle	0.042155
strip	0.0421192
body	0.041974
tier	0.0417604
basement	0.0417119
them	0.0416145
length	0.0414138
Mound	0.0413199
stack	0.0413069
rock	0.041236
portion	0.0412196
tail	0.041068
road	0.0410613
wood	0.0409985
width	0.0408406
fence	0.0408131
building	0.0407606
ball	0.0405669
knee	0.0405288
shirt	0.040285
tip	0.0402214
grass	0.0402052
neck	0.0402042
river	0.0400782
locker	0.040021
))
("bottom line" (desc 30527) (sims
profitability	0.100817
"big picture"	0.0966683
"profit margin"	0.0932292
profit	0.0894194
"balance sheet"	0.0892565
earnings	0.0888625
"market share"	0.0755292
productivity	0.0716659
revenue	0.070901
"quality of life"	0.070882
value	0.0676011
well-being	0.0673785
competitiveness	0.0662099
health	0.0658937
morale	0.0656521
survival	0.0655801
"customer service"	0.0648516
security	0.0641482
motivation	0.0641386
rating	0.0632891
truth	0.0630185
aspect	0.0628081
credibility	0.0627028
growth	0.0626188
reality	0.0623504
quality	0.0621521
coffer	0.060708
strategy	0.0602436
ability	0.0601909
perception	0.059935
objective	0.0599151
"earnings growth"	0.0598442
fundamental	0.0598247
efficiency	0.0593665
balance	0.0588645
stability	0.0587536
"financial condition"	0.0587288
"growth prospect"	0.0579655
outcome	0.0568054
guess	0.0563916
income	0.0563373
investment	0.0562715
implication	0.0560567
employment	0.0558603
valuation	0.0556588
prospect	0.0551331
customer	0.0551299
marketing	0.0550191
budget	0.0548534
reputation	0.0547854
legacy	0.0547611
difference	0.054579
liquidity	0.0545522
news	0.0544866
priority	0.0541357
safety	0.053456
confidence	0.0534277
"foreign policy"	0.0533543
"rule of thumb"	0.0531906
consumer	0.0531343
outlook	0.0530187
"world economy"	0.052841
moral	0.0524321
scenario	0.0524262
thinking	0.0522612
upshot	0.0520592
expectation	0.0519669
chance	0.0519479
sentiment	0.0517893
management	0.0517313
core	0.051682
livelihood	0.0516688
"earning per share"	0.0515295
Privacy	0.051525
liability	0.0514909
mindset	0.0514203
environment	0.0513637
Fortune	0.0512554
innovation	0.0511208
inventory	0.0509559
crux	0.0509012
inflation	0.0506477
reasoning	0.0504711
calculation	0.0504256
downside	0.0503666
"revenue growth"	0.0502397
payroll	0.0502266
portfolio	0.0501679
task	0.0500707
salary	0.0498969
dilemma	0.0498544
"stock market"	0.0498399
wage	0.0497365
saving	0.0495994
lifestyle	0.0495608
second-quarter	0.0493053
impact	0.049259
margin	0.0491949
meaning	0.0489975
consensus	0.0489709
viability	0.0488374
feeling	0.0487909
trend	0.0483667
"net income"	0.0482799
asset	0.0482406
"labor market"	0.0482192
understanding	0.0481897
factor	0.0481805
structure	0.047723
"investor confidence"	0.0476325
criterion	0.0475754
theme	0.0474434
potential	0.0473989
"investment climate"	0.0473482
"market value"	0.0473334
diversity	0.047139
strength	0.047041
ego	0.046917
incentive	0.0468677
logic	0.0468648
drawback	0.0468239
accomplishment	0.0466885
"standard of living"	0.0466127
pension	0.0465223
"security interest"	0.0465071
"business activity"	0.0464675
prosperity	0.0464433
projection	0.0463686
"oil price"	0.0463192
flexibility	0.0462297
"business plan"	0.0462095
"labor cost"	0.0461988
advantage	0.0459729
attendance	0.045852
"social security"	0.0457673
premise	0.0457377
attitude	0.0457226
negative	0.04572
option	0.0457126
Advertising	0.0456975
accountability	0.0456872
consequence	0.0456307
interpretation	0.045591
equity	0.0455522
"housing market"	0.0454521
consideration	0.0453977
motto	0.0453445
"test score"	0.0453231
integrity	0.0452944
longevity	0.0452582
"game plan"	0.0452479
responsibility	0.0452287
fun	0.0452063
"interest rate"	0.0451902
"One key"	0.0451689
difficulty	0.0450624
"trade balance"	0.0450584
purpose	0.0450583
psyche	0.0450167
spending	0.0450145
pricing	0.0449436
"balance of payments"	0.0449418
shareholder	0.0449354
mantra	0.0448991
"work force"	0.0448718
philosophy	0.0448606
self-esteem	0.0448145
specific	0.0447569
ethic	0.044738
reliability	0.0447348
"common sense"	0.044729
direction	0.0447254
tourism	0.044689
stats	0.0446806
burden	0.0446773
football	0.0445814
agenda	0.0444776
"tax collection"	0.0444712
"job security"	0.0444649
fitness	0.0444185
vision	0.044346
essence	0.0443434
forecast	0.0443333
statistic	0.0443242
expansion	0.0443098
surplus	0.044288
criteria	0.044269
lesson	0.0442522
behavior	0.0441571
conundrum	0.0441159
expense	0.0440052
"salary cap"	0.0439696
evolution	0.043926
circumstance	0.0438239
effectiveness	0.04381
franchise	0.0437904
weakness	0.0437297
math	0.043708
accuracy	0.0436885
element	0.0436326
))
("bottom of the inning" (desc 5601.84) (sims
ninth	0.188153
eighth	0.178629
seventh	0.176993
sixth	0.156134
fifth	0.138319
inning	0.123844
nightcap	0.0980023
inning.	0.0940157
at-bat	0.0898169
innings.	0.0863373
"last two minutes"	0.0829302
"second overtime"	0.0814566
"Game @"	0.0753032
"regulation time"	0.0726164
"Game @."	0.070722
"second minute"	0.0707208
games.	0.0671424
"extra inning"	0.0638878
"final period"	0.0603745
scoring	0.0586791
"fifth minute"	0.0584862
"right field"	0.0583668
"center field"	0.0554496
"first minute"	0.0543485
"second period"	0.0540822
"third base"	0.05328
"claiming race"	0.0519008
"left field"	0.0514421
tiebreak	0.0502795
"day game"	0.049947
"third period"	0.0495998
"first period"	0.049221
"sixth minute"	0.0471141
"AL West"	0.0469343
starts.	0.0468218
ALCS	0.0466704
"first five minutes"	0.0463141
ballgame	0.0458339
game.	0.0446235
"last @@ minutes"	0.044526
"major league season"	0.044165
homestand	0.0436501
"first @:@@"	0.043576
overs	0.0432057
"second base"	0.0430777
OT	0.042961
"third minute"	0.0429361
post-season	0.042867
raffle	0.0417524
"National League East"	0.0414151
))
(botulism (desc 1580.18) (sims
Rabies	0.193353
typhoid	0.191849
"typhoid fever"	0.174583
anthrax	0.154773
smallpox	0.152351
salmonella	0.140622
ebola	0.139918
Hantavirus	0.139907
"dengue fever"	0.137532
pox	0.136611
cholera	0.135748
"bubonic plague"	0.134794
Meningitis	0.130044
"food poisoning"	0.128982
diphtheria	0.128542
influenza	0.128454
encephalitis	0.125636
coli	0.124803
gangrene	0.124262
CJD	0.122436
"yellow fever"	0.121863
leprosy	0.111132
polio	0.109597
"lead poisoning"	0.108197
measles	0.107259
"hepatitis A"	0.105737
Dengue	0.105316
"contagious disease"	0.103481
hepatitis	0.10332
"West Nile"	0.103061
"Lyme disease"	0.102372
"foot-and-mouth disease"	0.101
herpes	0.0971603
arrhythmia	0.0963549
bacteria	0.0940924
cryptosporidium	0.0913912
chickenpox	0.0899879
"hepatitis B"	0.0886395
"skin cancer"	0.0883113
syphilis	0.0878504
Dysentery	0.0875551
O@@@:H@	0.0873862
gonorrhea	0.0865414
toxin	0.0859048
narcolepsy	0.08577
Parkinson's	0.0842867
tuberculosis	0.0839378
"respiratory disease"	0.0827764
listeria	0.0825996
"heat exhaustion"	0.0824118
encephalopathy	0.0820334
"liver disease"	0.0817284
dementia	0.0793658
BSE	0.0784876
bacillus	0.0784177
"venereal disease"	0.0777984
pathogen	0.0775135
"tooth decay"	0.0765026
germ	0.0754148
"mental disorder"	0.074614
flu	0.0746113
"rheumatoid arthritis"	0.0744737
rollovers	0.0743227
tetanus	0.0736824
"AIDS virus"	0.0731324
SIDS	0.0728086
relapse	0.072438
malaria	0.0719307
"sexually transmitted disease"	0.0719209
"dog bite"	0.0717973
"infectious disease"	0.071069
dysfunction	0.0706387
diarrhea	0.0703971
leukemia	0.0702936
apnea	0.069818
"cash crunch"	0.0690937
autism	0.069018
osteoarthritis	0.0684572
indigestion	0.0684534
bacterium	0.0679503
cirrhosis	0.0668646
pneumonia	0.0662654
ulcer	0.0660284
"Parkinson's disease"	0.0657171
"acquired immune deficiency syndrome"	0.0646819
STDs	0.0646443
atherosclerosis	0.0645932
sickness	0.0643447
"moral hazard"	0.0640126
"common cold"	0.0639624
"lung cancer"	0.0632402
epilepsy	0.062881
legionnaire	0.0628152
rinderpest	0.0627085
"colon cancer"	0.0625028
bronchitis	0.0623771
Tb	0.062311
anemia	0.0618815
deafness	0.0614452
"memory loss"	0.0605041
jaundice	0.0603318
"multiple sclerosis"	0.0602861
trachoma	0.0600383
poisoning	0.0593649
gastroenteritis	0.0589794
melanoma	0.058678
diarrhoea	0.0584282
Psychosis	0.0581712
acne	0.0574871
nearsightedness	0.0570049
"cystic fibrosis"	0.0567762
"kidney stone"	0.0566662
"eye disease"	0.056366
"animal disease"	0.0561032
Alzheimer	0.0560671
"congestive heart failure"	0.0559062
microorganism	0.0554541
C-section	0.0554038
microbe	0.0553337
"cardiovascular disease"	0.0552604
delirium	0.0550764
"Human Immunodeficiency Virus"	0.0548047
contagion	0.0547194
als	0.0547104
dehydration	0.0544648
fibrillation	0.0543098
Osteoporosis	0.0540282
malformation	0.0539841
lymphoma	0.0539416
"neurological disease"	0.0534141
HIV-@	0.0532948
disorientation	0.053197
"heart failure"	0.0531865
E.	0.0531364
retardation	0.0526303
nematode	0.0523274
schizophrenia	0.0523076
"communicable disease"	0.0518112
lactose	0.0516898
Burnout	0.0511841
arthritis	0.0507626
infanticide	0.0505694
destabilization	0.0505262
psoriasis	0.0503367
recurrence	0.0499336
glaucoma	0.0496645
poliomyelitis	0.0494902
parasite	0.0491341
canker	0.0488389
"brain tumor"	0.0486925
"fatal accident"	0.048607
"flash flood"	0.0484575
hemophilia	0.0480051
worksheet	0.0477933
nausea	0.0477386
"manic depression"	0.0476554
conflagration	0.0476416
toxicity	0.0476243
"juvenile delinquency"	0.047087
"goose bumps"	0.0469399
"blood clot"	0.0468811
sectarianism	0.0468801
recidivism	0.0467173
"poison ivy"	0.0466446
"hay fever"	0.046309
interferon	0.0458304
incontinence	0.045491
angina	0.0454713
scorpion	0.0454595
vomiting	0.0452982
gallstone	0.0451431
blockage	0.0447793
intoxication	0.0447131
"mustard gas"	0.0446956
heartburn	0.0445239
hypertension	0.0444788
whiplash	0.0443728
degeneration	0.0443254
Chlamydia	0.0442295
Lice	0.0439594
ADHD	0.0437602
miscarriage	0.0435667
subsidence	0.0434936
sunburn	0.0434377
carcinoma	0.0433944
frostbite	0.0431566
"insider trading"	0.0431562
"neurological disorder"	0.0428009
C.	0.0426746
isotope	0.0426735
myopia	0.0425343
impotence	0.0424944
deformity	0.0419948
"blood cell"	0.0418806
platelet	0.0417821
"plant disease"	0.0416655
"asthma attack"	0.0414623
presure	0.0413464
cataract	0.0413181
"price fluctuation"	0.0412982
))
(Bouchard (desc 3431.11) (sims
Ruehe	0.121619
Dodik	0.109335
Cardoso	0.10823
Orban	0.104825
Deuba	0.103005
Bondevik	0.102971
Koirala	0.101416
Kumaratunga	0.101165
Vasile	0.100971
Amato	0.0989211
Talebi	0.0987925
Tarawneh	0.0979134
Chuan	0.0964195
Megawati	0.0960555
Fujimori	0.0955127
Advani	0.0951885
Nasrallah	0.0943498
Obasanjo	0.0939189
Noboa	0.0932596
Meciar	0.0932005
D'Alema	0.0923825
Balaguer	0.0915692
Eizenstat	0.0915104
Djukanovic	0.0914343
Chand	0.0911575
Schroeder	0.0910111
Beazley	0.0906936
Mbeki	0.0906017
Arens	0.0900733
Jayakumar	0.089572
Wahid	0.0892136
Jacquet	0.0885676
Venables	0.0874882
Yavlinsky	0.0874178
Murayama	0.0872457
Aleman	0.0870956
Ouattara	0.0868614
Charest	0.0864706
Ecevit	0.0863633
Klima	0.0862492
Zeroual	0.0859993
Jovanovic	0.0859315
Zeman	0.0857088
Aznar	0.0856995
Armey	0.0856512
Pustovoitenko	0.0854947
Alarcon	0.0854027
Chaudhry	0.0852607
Bedie	0.0849265
Rodionov	0.0846966
Chiluba	0.0844575
Fabius	0.0844209
Ikimi	0.0844129
Katsav	0.0842683
Yastrzhembsky	0.0842197
"de Charette"	0.0840883
Bragman	0.084072
Mugabe	0.0838688
Chavalit	0.0836623
Hasina	0.0833109
Aliev	0.0831825
Pastrana	0.0830709
Insulza	0.0829116
Clerides	0.0824036
Rossello	0.0819519
Nazarbayev	0.0819007
Kohl	0.0818224
Trimble	0.0816998
Simitis	0.0815729
Guei	0.0815164
Buyoya	0.0815076
Bildt	0.0815062
Chavez	0.081226
Ahern	0.0809077
Chissano	0.08083
Tsang	0.0808187
Schuessel	0.0807835
Havelange	0.0806798
Wilhelm	0.0804999
Estrada	0.0795674
Prodi	0.0795103
Kok	0.0793577
Kuchma	0.079061
Vajpayee	0.0788992
Obuchi	0.0788596
Kostunica	0.0787483
Sezer	0.0786413
Hashimoto	0.0784487
Hoffa	0.0783317
Buzek	0.0782211
Mahuad	0.0781886
Sharansky	0.0780317
Abubakar	0.0780187
Kostov	0.078018
Guterres	0.0776243
Habibie	0.0772176
Diouf	0.0770302
Camdessus	0.0769356
Smitherman	0.0769289
Banzer	0.0769023
Demaci	0.0768677
Mori	0.0768101
Seselj	0.076697
Shevardnadze	0.0766126
Stoyanov	0.0762737
Poplasen	0.0762301
Hartsburg	0.0761021
Rafsanjani	0.0759476
Rifkind	0.0758184
Khatami	0.075795
Menem	0.0757918
Supachai	0.0754299
Bouteflika	0.0753792
Tarrin	0.0752722
Gujral	0.0751823
Gowda	0.0748865
Montiel	0.0747875
Taufik	0.0746942
Zyuganov	0.0746442
Modise	0.0745674
Gargan	0.0745658
Bulatovic	0.0745473
Peres	0.0744075
Museveni	0.0743245
Malu	0.0742138
Duisenberg	0.0741964
Zuma	0.0741795
Zeng	0.0741367
Alatas	0.0740759
Blatter	0.073923
Tung	0.0738936
Leghari	0.0737546
Yadav	0.0734285
Berlusconi	0.0733834
Ghali	0.073375
Tomba	0.0732342
Schaeuble	0.0731559
Strauss-Kahn	0.0731358
Ashcroft	0.0731202
Ershad	0.0731158
Rawabdeh	0.0729264
Nebiolo	0.0729114
beamer	0.0728618
Wolfensohn	0.0726753
Shipley	0.0726072
Howard	0.0726042
Brundtland	0.0723729
Zou	0.0722047
Connerly	0.0721097
"President Lee Teng-hui"	0.0720098
Sponeck	0.0719641
Berisha	0.0718478
Donnan	0.0718195
Bronfman	0.0716975
Bucaram	0.0716612
Putin	0.0715118
Stepashin	0.071431
Rugova	0.0711923
Primakov	0.0711349
Juppe	0.0710981
Zarb	0.0710523
Joklik	0.0710434
Draskovic	0.0708262
Nkomo	0.0704775
Shi	0.0704762
Luzhkov	0.070473
Meguid	0.07046
Arias	0.070382
Cardenas	0.0700769
Musharraf	0.0698457
Sharif	0.0695955
Seleznyov	0.0695423
Mkapa	0.0692874
Fraga	0.0688716
Azad	0.0688425
Markovic	0.0688162
Narayanan	0.0688128
Jospin	0.0686508
Zadornov	0.0686103
Bruton	0.0684879
Sutiyoso	0.0684638
Samaranch	0.068432
Leahy	0.0683727
BEGAY	0.0683697
Feingold	0.0683404
Hoch	0.0682576
Lukashenko	0.0682279
Whipple	0.068224
Pearce	0.068139
Vieira	0.0680771
Rawlings	0.0679552
Velayati	0.0679519
Holl	0.0678408
Izetbegovic	0.0676831
Chirac	0.0676309
Azizah	0.0674904
Barksdale	0.0674763
Demirel	0.0674545
Chretien	0.0673927
Blair	0.0671711
))
(Boucher (desc 2795.29) (sims
Cronje	0.139684
Singson	0.133749
Ruehe	0.13296
Fleischer	0.118286
"Brian Lara"	0.117535
Kasoulides	0.111626
Velayati	0.110844
"de Charette"	0.110339
"Mike Atherton"	0.108304
Lehane	0.107757
Baird	0.105864
Advani	0.103028
"Alec Stewart"	0.102481
"Nasser Hussain"	0.101174
lbw	0.100243
Manley	0.100112
"administration official"	0.100042
Aventajado	0.0999801
McCurry	0.0996389
"Mark Boucher"	0.0996271
Finkel	0.0992631
Prewitt	0.0992025
Passarella	0.0969056
Insulza	0.0964464
Polian	0.094795
Solis	0.0941398
Aguirre	0.0937942
Klima	0.0937746
"Carl Hooper"	0.0932337
Malu	0.0931026
Wolfson	0.0930255
Piot	0.0925844
Yastrzhembsky	0.0907422
Azizah	0.090741
Eizenstat	0.0905005
Moonves	0.090209
Jovanovic	0.0900448
Hybl	0.0897331
Patel	0.0896435
Ackerman	0.0896016
Potvin	0.0894632
Siazon	0.0893598
Hauser	0.0890479
Ashrawi	0.0890433
Husseini	0.0886038
Sheehan	0.088352
Ikimi	0.0881834
Kyprianou	0.0881332
Jayakumar	0.0880346
Meissner	0.0873895
Zucker	0.0870802
Mercado	0.0870494
Condit	0.0862086
Siegel	0.085832
Schmid	0.0855317
Cui	0.0852326
Okada	0.0842974
Kornberg	0.0842659
Meguid	0.0837663
Tarawneh	0.0835611
Bustamante	0.0834913
Heinrichs	0.0833049
Stroyev	0.0832837
Ftorek	0.0826015
Majko	0.0823513
Rossotti	0.0821089
Waxman	0.081669
Longo	0.0815639
Molinari	0.0813981
Richter	0.0813912
Brodeur	0.0812995
Shamshad	0.0811048
O'Sullivan	0.0809107
Hebert	0.0805724
"Henry Waxman"	0.0802573
Hodler	0.0801033
Rawabdeh	0.0800868
Dewine	0.0800087
Scharping	0.0799894
Gogel	0.0799837
Surin	0.0796613
Napolitano	0.079651
Bakaly	0.0795607
Kolzig	0.079419
Zou	0.0788756
Lockhart	0.0787213
Rifkind	0.0784587
Valenti	0.0784094
Demaci	0.0784041
Fulmer	0.0781773
Muckler	0.0777791
hodgson	0.0777434
Satcher	0.0773493
Goossen	0.0771039
Dini	0.0770433
Andreychuk	0.0769163
Summitt	0.076751
Murad	0.0763731
Tocchet	0.0763359
"John Conyers Jr."	0.0762544
Tsang	0.0761996
Fernandes	0.0759127
Zambrano	0.075836
Shen	0.0757734
Reiner	0.0757649
Storr	0.0756228
Burleigh	0.075453
LaPierre	0.0754468
Solich	0.07511
Quintana	0.0751062
Goya	0.0750459
Padilla	0.0745871
Ainge	0.0745289
Talebi	0.0744528
Beilin	0.074337
Caddell	0.0742593
Ciampi	0.0742311
Reimer	0.0741044
Diouf	0.073948
Bulatovic	0.0739384
Zeng	0.0739279
capella	0.0738842
Sato	0.0736771
Zuma	0.0733834
Abdel-Meguid	0.0733581
Ratliff	0.0733331
Bolger	0.0731702
Leghari	0.0729468
Lamberth	0.0728667
DeFrantz	0.0728122
Rubenstein	0.0727747
Moratinos	0.0726901
Legace	0.0724321
Hartsburg	0.0724136
Quigley	0.0723891
Grossman	0.0722961
Nateq-Nouri	0.0722815
"Sergei Yastrzhembsky"	0.0720966
Cramer	0.0720936
Sheng	0.0720366
Rodionov	0.0719462
Zhirinovsky	0.0718611
Copeland	0.071827
Kallis	0.0717497
Alatas	0.0717358
Teresi	0.0715546
Lipponen	0.071429
"El Greco"	0.0714194
Patten	0.0713818
McInnis	0.0713768
Dougherty	0.0713526
Sumaye	0.0711473
Devine	0.0710153
Verney	0.0709445
"Max Baucus"	0.0708968
Gosper	0.0707535
Soto	0.0707373
Sergeyev	0.0707121
Gossage	0.0706979
Clement	0.0706954
Ota	0.0706953
Mikhailov	0.07069
Boyd	0.070661
Dunham	0.0704572
Barros	0.0703465
Rosenthal	0.0701588
Mkapa	0.0700888
Ebersol	0.0700415
Rong	0.070029
Bettman	0.0699725
O'Neil	0.0698461
Tuberville	0.0697007
Boueiz	0.0696438
Allard	0.0695286
Chissano	0.069477
Calloway	0.0694118
Aziz	0.0693553
Cao	0.0693377
Cowan	0.0691847
Hirsch	0.0690164
Rubens	0.0688777
Vanbiesbrouck	0.0688534
Moakley	0.0688494
Salo	0.0688264
Thibault	0.0687386
Saleh	0.0686782
Brandt	0.0686005
Sapp	0.0685615
Wellstone	0.0685466
Ferrer	0.0683405
Robson	0.0682723
Seleznyov	0.06826
guo	0.0682327
McCabe	0.0682197
Barrett	0.06802
Hartman	0.0680002
Sherrill	0.0678644
Garcetti	0.067852
Kessler	0.0678215
McGinnis	0.0677128
))
(Boueiz (desc 1311.49) (sims
Kasoulides	0.387079
Jayakumar	0.302197
Shareh	0.289862
Ruehe	0.280356
Pangalos	0.276889
Khaddam	0.269481
Meguid	0.267932
Berri	0.267802
Velayati	0.264467
"de Charette"	0.263687
Komura	0.259124
Ikimi	0.257445
Rifkind	0.24815
al-Hariri	0.243001
Cem	0.242257
Zou	0.234271
Brittan	0.233199
Nzo	0.228163
Dini	0.226071
Guterres	0.222499
Hrawi	0.220845
Santer	0.214306
Rong	0.210074
Abdel-Meguid	0.209761
Hariri	0.208792
Tsang	0.207525
Goh	0.207077
Singson	0.205358
Axworthy	0.204557
Rodionov	0.203779
Mkapa	0.203167
Wolfensohn	0.201549
Camdessus	0.200281
Leghari	0.19837
Insulza	0.198292
Meles	0.19827
Shaath	0.195643
Jovanovic	0.195333
Nasrallah	0.194411
Stoyanov	0.192928
Moratinos	0.192473
Klima	0.192196
Akayev	0.191884
Aziz	0.191818
Sumaye	0.191424
Shara	0.19118
"Salim Hoss"	0.190709
Azad	0.190662
Karimov	0.190549
Klestil	0.188652
Sergeyev	0.187011
Fernandes	0.186286
Demirel	0.185849
Kharrazi	0.184525
Bruton	0.184189
Harmoko	0.183986
Kabariti	0.183451
Modise	0.180402
Moussa	0.177448
Yastrzhembsky	0.176325
Baz	0.173938
Kostov	0.171761
Granic	0.17121
al-Shara	0.170838
Cui	0.170492
Qian	0.169937
Siazon	0.16916
Pustovoitenko	0.168798
Tarawneh	0.168621
Vedrine	0.168532
Aventajado	0.168381
Alatas	0.166845
al-Sharaa	0.16683
Nazarbayev	0.166728
"Kamal Kharrazi"	0.16608
Ivanov	0.166042
Zeng	0.165913
Kyprianou	0.165775
"Mahmoud Zouebi"	0.165504
Lahoud	0.165207
Hoss	0.165143
Husseini	0.164632
"Dos Santos"	0.164207
Phieu	0.163511
Zuma	0.162425
Museveni	0.161706
Kuchma	0.160649
Scalfaro	0.160008
Simitis	0.15996
Niyazov	0.159866
Deuba	0.15953
Constantinescu	0.159521
"Abdul Karim Kabariti"	0.159032
Chissano	0.158712
Stroyev	0.158517
al-Sahaf	0.15816
Clerides	0.157814
Sha	0.157792
Gujral	0.157653
Gurirab	0.157213
Saleh	0.157069
Talbott	0.156542
"Abdullah Ahmad Badawi"	0.156083
Khai	0.155593
Ikeda	0.155173
"Tang Jiaxuan"	0.155024
Qiao	0.154941
Dehaene	0.153333
Sheng	0.152886
Chiluba	0.152567
al-Khatib	0.152521
Diouf	0.152211
Ahtisaari	0.1515
Malu	0.151484
Kono	0.150464
"Rafik Hariri"	0.150444
Vollebaek	0.15008
Kinkel	0.150024
Alarcon	0.149484
Scharping	0.149213
Hasina	0.148958
Bolger	0.148168
Shi	0.148064
Kwasniewski	0.147334
Ecevit	0.146506
Koirala	0.146308
"Vo Van Kiet"	0.146255
"Ivan Kostov"	0.145472
Persson	0.145468
Solana	0.144557
Vasile	0.144199
"Tim Fischer"	0.143918
Severino	0.142791
Ahern	0.142023
Obeid	0.141197
Lipponen	0.140693
Bellamy	0.140148
"Than Shwe"	0.139935
"Khin Nyunt"	0.139795
"Meles Zenawi"	0.139619
Muluzi	0.139519
Aznar	0.13933
Milutinovic	0.139208
Salim	0.138895
Seleznyov	0.138503
"Lee Hsien Loong"	0.138341
Rakhmonov	0.138167
Majali	0.138075
Jia	0.137397
"Igor Ivanov"	0.137199
Bizimungu	0.137191
Ghali	0.137152
"Secretary General Esmat Abdel-Meguid"	0.13673
tang	0.136624
Ashrawi	0.136382
"David Levy"	0.135741
Shamshad	0.135611
Arens	0.135361
Pickering	0.135112
Nujoma	0.135075
Azizah	0.135039
Chretien	0.134969
"Secretary General Esmat Abdul-Meguid"	0.134586
Nemtsov	0.134483
Orban	0.134208
"John Bruton"	0.134076
Bambang	0.1336
Frei	0.132941
Juppe	0.132696
wen	0.132431
Gaddafi	0.132388
"Jenny Shipley"	0.132002
al-Sahhaf	0.131952
Kok	0.131386
"Necmettin Erbakan"	0.130549
Chuan	0.130352
Zhu	0.130312
Naumann	0.130296
Lari	0.130089
Luong	0.130073
Bildt	0.129777
Sampaio	0.129718
Brahimi	0.129471
Fino	0.129351
Tarrin	0.128776
Hu	0.128731
Surin	0.128501
"Jordanian King Abdullah Bin Hussein"	0.128473
"Israeli Foreign Ministry"	0.128339
Sharaa	0.128323
"Atef Obeid"	0.127573
Muoi	0.127404
"Valery Pustovoitenko"	0.126987
Barshefsky	0.126358
Masire	0.126356
Yazdi	0.126313
Tung	0.126312
Bulatovic	0.126208
Ciampi	0.125907
Prewitt	0.125906
Boutros-Ghali	0.125704
"Saeb Erekat"	0.125628
"Phan Van Khai"	0.125524
"King Abdullah II"	0.125456
"Jaswant Singh"	0.125415
Menem	0.125131
"Radu Vasile"	0.124636
Denktash	0.124204
Murayama	0.123949
"Hubert Vedrine"	0.123797
Garang	0.123299
Herzog	0.122907
"Lamberto Dini"	0.122848
Juncker	0.12281
Shevardnadze	0.122748
Brundtland	0.122289
Holl	0.122255
"Ismail Cem"	0.121988
Dai	0.121823
Erekat	0.121687
Mordechai	0.12146
Luo	0.121314
el-Ganzouri	0.121102
Soyinka	0.120936
Lehane	0.120877
Chirac	0.120852
"Costas Simitis"	0.120397
Sahnoun	0.120039
Wan	0.120011
Downer	0.119938
Moi	0.11976
Rafsanjani	0.119693
Duisenberg	0.119365
Rau	0.119344
"Michael Heseltine"	0.119099
Tian	0.119011
Prodi	0.118783
Mubarak	0.118737
Waigel	0.118721
Chavalit	0.11866
Bautista	0.1186
Ben-Ami	0.118554
Weizman	0.118429
"Wim Kok"	0.117766
"Atal Bihari Vajpayee"	0.117765
Wu	0.117553
Fu	0.117468
"Li Peng"	0.117357
Wilhelm	0.117231
Cao	0.117097
Iliescu	0.116862
"King Fahd"	0.116756
Khamenei	0.116633
Vice-Premier	0.116388
"Tareq Aziz"	0.116338
Shipley	0.1163
"Bill Skate"	0.115508
Juma	0.115429
Erbakan	0.115418
"Amr Moussa"	0.11496
"William Perry"	0.114936
"Qian Qichen"	0.114412
Ganzouri	0.11439
Lukashenko	0.113989
Xiang	0.113945
Grachev	0.113868
Hindery	0.113275
Abdul	0.11305
Ciller	0.113024
Abbas	0.112912
"Xie Zhenhua"	0.112896
Wahid	0.112506
"Orlando Mercado"	0.112449
"William Cohen"	0.112391
"Jose Maria Aznar"	0.112306
Qu	0.112069
D'Alema	0.111934
Yilmaz	0.111904
"Amnuay Virawan"	0.111853
Banharn	0.111712
Chi	0.111709
"Jean Chretien"	0.111582
"Romano Prodi"	0.111567
Moonves	0.111254
Christopher	0.111034
Mbeki	0.110784
Eizenstat	0.11078
"Chuan Leekpai"	0.110748
Abubakar	0.110743
Narayanan	0.110341
Manley	0.110204
"Paavo Lipponen"	0.109892
Larsen	0.109779
"Suleyman Demirel"	0.109573
Schrempp	0.109557
Zeroual	0.109479
"Yuri Maslyukov"	0.109461
Maslyukov	0.109415
Nateq-Nouri	0.10941
"Tariq Aziz"	0.10922
"Sheikh Saad"	0.109206
"Bertie Ahern"	0.109136
Ogata	0.109005
Rabbani	0.108724
Prueher	0.108601
MIYAZAWA	0.108534
Liang	0.108099
Vajpayee	0.108048
Malan	0.107985
Buzek	0.107868
"Maung Aye"	0.107742
Sponeck	0.107738
Wei	0.107685
"Leon Brittan"	0.107651
Hamad	0.107608
"Inder Kumar Gujral"	0.107548
"British Foreign Office"	0.107475
"Mesut Yilmaz"	0.107346
Gowda	0.107069
McCurry	0.106815
Piot	0.106764
Levitt	0.106703
Sihanouk	0.106322
Markovic	0.106277
Hassan	0.106265
el-Baz	0.106109
Ebersol	0.106086
Demaci	0.105877
Advani	0.105709
"Bulent Ecevit"	0.105602
Majko	0.105527
"De Klerk"	0.105331
Jing	0.105293
Havelange	0.105073
"Jordanian King Hussein"	0.104923
Hashimoto	0.104399
Angara	0.104003
"Wolfgang Schuessel"	0.103734
Habib	0.103651
Ruggiero	0.103595
Eran	0.103579
"Kim Yong Nam"	0.103561
McKinnon	0.103421
Bao	0.103313
Primakov	0.103254
Thapa	0.10304
Hamid	0.102954
Leung	0.102927
"Chavalit Yongchaiyudh"	0.102836
guo	0.102808
"Fayez Tarawneh"	0.10253
"Yasser Abed Rabbo"	0.102421
"Faisal Husseini"	0.102362
"William S. Cohen"	0.102269
Mori	0.102181
Erwin	0.10193
Mugabe	0.101797
Ghalib	0.101681
"Abidine Ben Ali"	0.101639
Musharraf	0.101617
Cohen	0.10153
Hybl	0.101493
Dodik	0.101391
LeBlanc	0.101374
Kavan	0.10137
"Speaker Ali Akbar Nateq-Nouri"	0.101355
"Russian Foreign Ministry"	0.101122
Benazir	0.101116
Singh	0.101087
Krasniqi	0.100852
Izetbegovic	0.100821
Fischer	0.100756
Sharif	0.100596
Kumaratunga	0.100582
Napolitano	0.100491
Nebiolo	0.100404
))
(Bougainville (desc 2019.58) (sims
Anjouan	0.157162
Abkhazian	0.153792
Caprivi	0.151041
"Ethnic Albanian"	0.128994
Kashmiri	0.128014
Sakhalin	0.11912
Kurd	0.111711
Moro	0.110276
Sipadan	0.110194
Kyushu	0.109602
Batam	0.108876
Palawan	0.101886
Crete	0.0993392
"Abu Musa"	0.09447
Timor	0.0908837
Mindanao	0.0906346
Israeli-Arab	0.0905747
Zairian	0.0874034
Basilan	0.0863073
"Northern Irish"	0.0856554
Chechen	0.0850452
"Kosovo Albanian"	0.0842563
Guadalcanal	0.0842172
Maluku	0.0839116
Sandinista	0.0817586
Contra	0.0807871
Montserrat	0.0804563
Pemba	0.0803905
Zapatista	0.0796949
Sulawesi	0.0794487
Kurdish	0.0781473
Comoros	0.0780802
Borneo	0.0780385
Palestinian-Israeli	0.077488
"St. Helena"	0.0758604
Timorese	0.0754026
Langkawi	0.0752292
"Polisario Front"	0.0747613
Phuket	0.0735775
Madeira	0.0714537
Indochina	0.0713283
Ulster	0.0711871
DRC	0.0709893
Moroni	0.0709578
Hokkaido	0.0698764
Israeli-Palestinian	0.0692108
secessionist	0.0685263
Luzon	0.0684485
"Kosovar Albanian"	0.068316
BASQUE	0.0674913
Kalimantan	0.0674111
Nagorno-Karabakh	0.0673252
Arab-Israeli	0.0668568
Falklands	0.0656869
Chiapas	0.0656517
Ambon	0.0654694
"South Atlantic"	0.065082
Nevis	0.0650206
Cozumel	0.0648937
CHT	0.0641588
"New Guinea"	0.0640522
Aceh	0.0637333
Martinique	0.0635659
"D.R Congo"	0.0633435
Okinawan	0.0630388
Tajik	0.0626646
SPLA	0.0621812
Corsica	0.0620735
"Western Sahara"	0.0620707
Sulu	0.0620257
Banyamulenge	0.0617152
Solomons	0.0605219
Kargil	0.0601699
Bali	0.0597067
Abkhazia	0.0596988
Amelia	0.0595169
Mideast	0.0593531
Islamist	0.05934
curacao	0.058677
"Dhaka Stock Exchange"	0.0584554
Aruba	0.0578223
MRTA	0.0575034
Guadeloupe	0.0573621
KNU	0.0569972
"Korean Peninsula"	0.0567743
Malvinas	0.0566328
"Antigua and Barbuda"	0.0564333
Oahu	0.0562875
"Tamil Eelam"	0.0562851
Kosovar	0.0561974
Kiribati	0.0561122
Hispaniola	0.0560616
"Democratic Republic of the Congo"	0.0559254
Chatham	0.0558706
Zanzibar	0.0556793
"Around @@"	0.0551531
Tasmania	0.0549026
Guinea-Bissau	0.0542066
Kauai	0.0541895
INDIA-PAKISTAN	0.0540785
ZHOUSHAN	0.0539641
"Cape Verde"	0.0535265
Jolo	0.0530116
leone	0.0528411
Somaliland	0.0527593
Vieques	0.0527231
coming-out	0.052571
"New Caledonia"	0.0523142
"Chek Lap Kok"	0.0520253
KO	0.0519206
WNBF	0.0511947
Flores	0.0510926
Kedah	0.0508751
"San Salvador"	0.0508123
ninja	0.0507942
ADF	0.0506042
mujahedeen	0.0504353
MNLF	0.0501654
"Shiite Muslim"	0.0500903
Israeli-Syrian	0.0499821
Interahamwe	0.0495359
"Resistance Army"	0.049434
"Papua New Guinea"	0.0494211
"St. Kitts"	0.0493002
"Western Pacific"	0.049202
Rhodesia	0.048403
"Guinea Bissau"	0.0482679
"South Pacific"	0.0481629
Cebu	0.047622
"up to @,@@@"	0.0472306
"Southern Philippines"	0.0469855
Maldives	0.0469135
"St. Thomas"	0.0467931
Vanuatu	0.0466149
Taleban	0.0465783
PML	0.0465044
"South Georgia"	0.0464117
LRA	0.0461712
PML-N	0.0460099
Balkan	0.0458382
"St. Vincent"	0.0456272
"Hilton Head"	0.0453499
"Sierra Leonean"	0.0452385
"Russian Security Council"	0.0446623
"lower class"	0.0446408
OPM	0.0446051
Maoist	0.0444054
"St. Croix"	0.0441961
cayman	0.0441013
"East Timorese"	0.0440996
NDF	0.044034
"Real IRA"	0.0440061
"Chittagong Hill Tracts"	0.0438463
Gibraltar	0.0438395
"North Maluku"	0.0438251
Penang	0.0437417
Ijaw	0.0436404
NDA	0.0435351
"South Mogadishu"	0.0432788
ETA	0.0431965
UDF	0.043108
Hutu	0.0426637
"Lagos State"	0.0425386
Margarita	0.0415635
ragtag	0.041533
Buldon	0.041375
UML	0.0411092
nine-month	0.0407984
"Netherlands Antilles"	0.0406672
"about @@@ to @@@"	0.0404803
Thirty-four	0.0404532
on-and-off	0.0403206
Tanganyika	0.0400187
))
(bougainvillea (desc 1696.76) (sims
hibiscus	0.176332
gardenia	0.167344
jasmine	0.155915
dogwood	0.15477
hydrangea	0.138196
oleander	0.132992
azalea	0.130222
orchid	0.129049
camellia	0.121053
Wisteria	0.120092
clematis	0.117674
rhododendron	0.116321
peony	0.115053
lilac	0.114938
Magnolia	0.114658
carnation	0.107964
tulip	0.0999615
"morning glory"	0.0999097
daffodil	0.0953875
marigold	0.0953754
fuchsia	0.0952771
cactus	0.0951862
honeysuckle	0.0941262
poinsettia	0.0923807
"day lily"	0.0918279
pansy	0.0915591
lily	0.0908437
undergrowth	0.0864825
geranium	0.0861352
crocus	0.0831174
Lantana	0.0824033
eucalyptus	0.0811586
amaryllis	0.0789708
"sweet pea"	0.0786111
petunia	0.0782194
"flower garden"	0.0781859
shrub	0.0781504
chrysanthemum	0.0772647
wildflower	0.0763446
bauhinia	0.0761902
Daisy	0.0731106
"feather boa"	0.0726101
lavender	0.0718068
ragweed	0.0697898
cypress	0.0689509
Lotus	0.0684581
agave	0.0657761
impatiens	0.0653378
poppy	0.0647565
zinnia	0.0643494
ivy	0.0626223
shrubbery	0.0611718
BOA	0.0611552
frond	0.060255
"picket fence"	0.0593699
"ground cover"	0.0584233
cacti	0.0575168
"black-eyed Susan"	0.0574423
Conifer	0.0573266
POTASH	0.0570792
papaya	0.0565913
Yucca	0.0563736
ginseng	0.0559879
"herb garden"	0.0557143
dahlia	0.0555679
Mesquite	0.0554695
"tile roof"	0.0532909
evergreen	0.0532627
sedum	0.0519918
holly	0.0512759
sunflower	0.0512257
plum	0.0507239
"plant life"	0.050482
"ammonium nitrate"	0.0501797
Mulberry	0.0497312
"cotton candy"	0.049341
pomegranate	0.0487956
"douglas fir"	0.0485941
"nail polish"	0.0482034
bluebird	0.0476039
Rhone	0.0475419
mum	0.0474653
houseplant	0.0470362
confetti	0.0464071
underbrush	0.0462122
"Easter egg"	0.0455221
Viburnum	0.0455034
sapling	0.0451685
hosta	0.0450733
"dark red"	0.0439877
menorah	0.0438374
Handspring	0.0438076
verbena	0.0437983
Iris	0.0425713
DAP	0.0424487
creche	0.0422548
nightgown	0.0421168
"telephone pole"	0.0419907
Perdue	0.0418943
"live oak"	0.0416703
gazebo	0.0415058
teahouse	0.0414641
fern	0.0413943
hyacinth	0.0406436
violet	0.0404804
bodysuit	0.0402451
coca	0.0401259
"polka dot"	0.0400698
))
(bough (desc 2064.7) (sims
swag	0.116666
"tree branch"	0.0871642
felling	0.086541
sapling	0.0824929
Canopy	0.0823805
frond	0.0818798
"ground cover"	0.0788252
thicket	0.0780317
foliage	0.0743861
poinsettia	0.0711094
"pine cone"	0.0667003
wreath	0.0643308
seedling	0.0630843
floorboard	0.0624792
hearts	0.0623062
greenery	0.0570761
cypress	0.0561097
twig	0.0558652
"over @,@@@ hectares"	0.0544402
sprig	0.0542894
crockery	0.0537995
nematode	0.0528725
smelling	0.0527041
garland	0.0512232
arbor	0.0507204
creche	0.050305
shrub	0.0496845
rosette	0.0474764
pinata	0.0463478
eaves	0.0447568
"more than @@@,@@@ acres"	0.0441742
sideboard	0.0410288
holly	0.0410248
celebs	0.0401315
))
(bouillon (desc 1630.58) (sims
half-and-half	0.137398
"beef stock"	0.136321
broth	0.132258
"beef broth"	0.128172
"coconut milk"	0.12776
"chicken broth"	0.125975
"tomato juice"	0.118643
vermouth	0.118408
"tomato paste"	0.107109
"soy sauce"	0.104885
"chicken stock"	0.104884
cornstarch	0.103842
"tomato sauce"	0.103528
fajitas	0.0987396
"skim milk"	0.0907285
shortening	0.0903947
"heavy cream"	0.0903016
"lime juice"	0.085687
"brown sugar"	0.0819976
vinegar	0.0806192
cornmeal	0.0801558
"canned food"	0.0788423
mayonnaise	0.0782785
"apple juice"	0.078002
"bay leaf"	0.0772814
florets	0.0767733
cider	0.0763933
"cider vinegar"	0.0763218
"corn syrup"	0.0759312
"lemon juice"	0.075856
confit	0.0758458
polenta	0.0751065
salsa	0.0743148
chutney	0.0734784
puree	0.0732581
panko	0.0728303
"evaporated milk"	0.0728294
"vegetable oil"	0.0722865
"orange juice"	0.0708705
"chili powder"	0.0691857
"whipping cream"	0.0690501
kebab	0.0689446
cocoa	0.0688629
"sesame oil"	0.0687489
"peanut oil"	0.0685802
"chili sauce"	0.0673121
yeast	0.0667942
margarine	0.0667896
"white wine"	0.0663806
croutons	0.0662202
"red wine"	0.0651414
mustard	0.0648265
"salad dressing"	0.0645937
buttermilk	0.0637269
sherry	0.0634735
macaroni	0.0634626
thyme	0.0634055
gratin	0.0631458
"powdered milk"	0.0626798
seasoning	0.0621268
"egg yolk"	0.0621205
"celery seed"	0.0615206
"barbecue sauce"	0.0611401
noodle	0.0598848
tapenade	0.0598719
yolk	0.0596467
granule	0.0595402
spaetzle	0.0593909
jelly	0.0593689
"brussels sprout"	0.0591142
"vanilla extract"	0.0589012
"orange zest"	0.0588335
ketchup	0.058322
bisque	0.0582599
"pineapple juice"	0.0582312
molasses	0.0576286
oatmeal	0.05745
"hot sauce"	0.057336
"Worcestershire sauce"	0.057043
"shiitake mushroom"	0.0569937
"pumpkin seed"	0.0564068
beaker	0.0563754
lentil	0.056089
"fruit juice"	0.0560328
"condensed milk"	0.0558615
"cooking oil"	0.0558383
cabbage	0.0556451
Tamale	0.0552644
KIMCHI	0.0549038
meatball	0.05468
marinade	0.0544734
saffron	0.0542859
paella	0.0542595
"blue cheese"	0.0540365
gravy	0.0537704
syrup	0.0535795
"garlic salt"	0.0531186
coconut	0.0531092
tahini	0.0530511
"iced tea"	0.0527473
"green pepper"	0.0525247
"bean sprout"	0.0525247
cumin	0.0515155
"curry powder"	0.0512939
hazelnut	0.0510903
pesto	0.0510365
Kale	0.0508862
oat	0.0503219
"baking powder"	0.0499501
preservative	0.0499197
"almond extract"	0.0498863
"white rice"	0.0497118
wasabi	0.049151
raisin	0.0490834
"pepper sauce"	0.049039
cauliflower	0.0486727
fennel	0.0481916
ricotta	0.0481827
slaw	0.0481273
"dried fruit"	0.0481159
burrows	0.0480985
"hot chocolate"	0.0480935
sachet	0.0480246
espresso	0.0479661
prawn	0.0475997
"egg white"	0.0475809
pilaf	0.0473827
"laundry detergent"	0.047327
marshmallow	0.0469427
fettuccine	0.0468706
"green tea"	0.0467882
bulgur	0.0466479
horseradish	0.0464791
bailiff	0.0464246
"cream puff"	0.0463123
terrine	0.0460995
slurry	0.0460976
"bok choy"	0.0457531
pistachio	0.0456671
Stroganoff	0.0455548
vinaigrette	0.0453699
"chocolate mousse"	0.0452944
"fennel seed"	0.0452102
"spaghetti sauce"	0.0451257
"black pepper"	0.0450213
"chicken wing"	0.0448685
rum	0.0447651
currant	0.044673
"baking soda"	0.0444548
raspberry	0.0442864
marjoram	0.044143
applesauce	0.0441191
gizzard	0.0440731
"ice cube"	0.0433078
"hoisin sauce"	0.0432375
cilantro	0.043111
"cane sugar"	0.0430467
chard	0.0430046
"wine vinegar"	0.0428221
cranberry	0.0426316
"potato salad"	0.0425713
lemongrass	0.0424663
Fondue	0.0423204
"milk powder"	0.0422734
"collard greens"	0.0422429
gelatin	0.0421996
"short ribs"	0.0421991
urea	0.0416677
sweetener	0.0416437
paprika	0.0415541
"macadamia nut"	0.0415092
bourbon	0.0413744
"lemon zest"	0.0411833
ragout	0.0410946
starch	0.0410467
"side dish"	0.0410362
Calvados	0.0409311
Zinfandel	0.0408691
veal	0.0408298
ephedra	0.040817
Cheddar	0.0407833
gin	0.0407828
shellfish	0.0407775
imposter	0.0406957
enchilada	0.0404984
scallion	0.0403537
pimento	0.0402602
cheerio	0.0401985
cannery	0.0401253
"orange peel"	0.0400511
))
(Boulder (desc 21672.1) (sims
Englewood	0.0994938
rock	0.0977699
LAKEWOOD	0.0916756
brick	0.0837484
debris	0.0805837
"Colorado Springs"	0.07748
stone	0.0763935
slab	0.0762486
mud	0.0737093
gravel	0.070877
"Overland Park"	0.0692326
"Palm Beach Gardens"	0.0686858
"Newport Beach"	0.0684509
Greenwich	0.0675261
log	0.0674188
"tree trunk"	0.0671265
dirt	0.0655904
tree	0.0645221
"New Haven"	0.0644842
silt	0.0643896
outcroppings	0.0641809
Stamford	0.0639717
sand	0.0638602
"mobile home"	0.0628008
pebble	0.062149
"Palo Alto"	0.0617903
"El Paso"	0.0609357
chunk	0.0607593
Laramie	0.060631
"Little Rock"	0.0604921
Albany	0.0600163
cliff	0.059976
Austin	0.0596676
Pasadena	0.0596594
Garbage	0.0594192
"Mill Valley"	0.0593941
Berkeley	0.0591011
Spokane	0.0590062
lava	0.0585796
Denver	0.0585197
Greenville	0.0584754
"telephone pole"	0.0582281
Jasper	0.0580943
outcrop	0.057849
Concrete	0.057778
Newark	0.0575938
"Menlo Park"	0.0575076
"San Francisco"	0.0573679
Tucson	0.0571691
Minneapolis	0.0570944
rubble	0.0570438
Glendale	0.0568712
Tempe	0.056848
"Mountain View"	0.0567991
"Fort Worth"	0.0567379
asteroid	0.0566433
"sand dune"	0.0566186
Burlington	0.0563351
Cambridge	0.0563043
"Delray Beach"	0.0557901
Scottsdale	0.0555919
Lansing	0.0553694
"tree branch"	0.0553381
Hartford	0.0553376
"Santa Monica"	0.055334
Lexington	0.0553017
"Molotov cocktail"	0.0552813
"San Mateo"	0.0552703
"Los Angeles"	0.0551925
sandbag	0.0550993
Albuquerque	0.0548715
Tijuana	0.0548521
"Thousand Oaks"	0.0547799
shard	0.0547063
snowball	0.0546106
Memphis	0.0545989
Bethesda	0.0545517
statue	0.0544842
"Boca Raton"	0.0543498
Bangor	0.0539887
Vail	0.0539868
Rochester	0.0539016
"New York City"	0.0537305
Raleigh	0.0536832
Fresno	0.0536806
Columbus	0.0535287
Alameda	0.0534002
"Santa Fe"	0.0533523
"West Palm Beach"	0.0533219
Akron	0.0533033
firebomb	0.0531296
"Chapel Hill"	0.052995
Weimar	0.0529844
ASHEVILLE	0.052967
Gainesville	0.0528882
Fairfax	0.0527002
Wilmington	0.0524895
"San Jose"	0.0524375
shrub	0.0524301
fireball	0.0523946
"Jersey City"	0.0523895
Birmingham	0.0523634
Aspen	0.0523517
sediment	0.0521361
Plano	0.0520476
pothole	0.0519798
Concord	0.0519681
Juarez	0.0518416
"stone wall"	0.0517972
Bloomington	0.0517536
Chappaqua	0.0516642
"Fort Lauderdale"	0.051657
Phoenix	0.0515604
ash	0.0515229
Brentwood	0.0514803
"Orange County"	0.0514631
"College Park"	0.0514354
Arlington	0.0513543
Bridgeport	0.0513503
Worcester	0.0512627
Nashville	0.051237
Charleston	0.0511339
"San Diego"	0.0509521
waterfall	0.0509145
Houston	0.0508509
Honolulu	0.0507726
barricade	0.0507619
Princeville	0.0505406
Lubbock	0.0503883
Sarasota	0.0503455
"St. Petersburg"	0.0502991
Tower	0.0502312
"Salt Lake City"	0.0500061
Seattle	0.0499568
"Montgomery County"	0.0497039
TALLAHASSEE	0.0496783
tent	0.0495914
"Bergen County"	0.0495081
tile	0.049479
sarcophagus	0.0494589
"La Jolla"	0.0494516
Amherst	0.0494418
"Simi Valley"	0.0493964
"New London"	0.0493471
Fayetteville	0.0492246
Providence	0.049051
"Ann Arbor"	0.0488745
"White Plains"	0.0487499
"San Juan"	0.0486882
"San Marcos"	0.0486387
"Westchester County"	0.0485717
dust	0.0485481
muck	0.048466
Durango	0.0483144
soil	0.0483127
Laredo	0.0483033
cavern	0.0482432
"New Rochelle"	0.0482302
Burbank	0.0482097
Littleton	0.0482007
Maryland	0.0481887
snow	0.0480659
Brooklyn	0.048026
Savannah	0.0479924
Springfield	0.0479728
"New Orleans"	0.0479293
Tampa	0.0478752
Wichita	0.0477711
"San Rafael"	0.0477368
evergreen	0.0475469
Alexandria	0.0475388
Westminster	0.047519
Louisville	0.0474549
cypress	0.0474282
Richmond	0.0473639
Galveston	0.0473478
Carmel	0.0472952
"small town"	0.0472477
Framingham	0.0472315
"Round Rock"	0.0471481
BRIGHTON	0.0471212
Duluth	0.0470392
Troy	0.0470111
cave	0.0469584
"Santa Rosa"	0.0469281
trailer	0.0467655
Tacoma	0.0467642
"Baton Rouge"	0.0467255
Brownsville	0.0466799
grass	0.046668
Dallas	0.0466093
Easton	0.0465853
Flagstaff	0.0465524
vegetation	0.0465409
"San Antonio"	0.0464082
Medford	0.0464009
Clifton	0.0463991
Marietta	0.0463743
Izmir	0.0462561
"Kansas City"	0.0462548
))
(boulevard (desc 17067) (sims
thoroughfare	0.162454
avenue	0.138755
"main street"	0.126988
plaza	0.121975
street	0.110215
freeway	0.108246
square	0.0971997
promenade	0.0911243
highway	0.09022
sidewalk	0.0899189
"main road"	0.088216
"Fifth Avenue"	0.086552
walkway	0.084048
boardwalk	0.0790381
roadway	0.0780729
skyline	0.077184
Champs-Elysees	0.0768646
"Garvaghy Road"	0.073726
Esplanade	0.0730321
mayorship	0.0694346
intersection	0.0685554
beach	0.0680068
pier	0.0677423
waterfront	0.067303
Parkway	0.0666617
"business district"	0.0663379
seawall	0.0657627
"shopping center"	0.065419
cafe	0.0644477
mall	0.0640818
cemetery	0.063404
lane	0.0630827
"Seventh Avenue"	0.0624823
"shopping mall"	0.0623573
"Pennsylvania Avenue"	0.0616709
Cathedral	0.0613539
Alley	0.0608424
skyscraper	0.0604791
"railway station"	0.0602455
alleyway	0.0599449
courtyard	0.0589207
lawn	0.0587989
neighborhood	0.0580554
corridor	0.0573188
"public square"	0.0569186
"vacant lot"	0.0564027
"opera house"	0.056161
downtown	0.0559488
"bus station"	0.055905
"subway station"	0.0558658
monument	0.0552021
runway	0.0550357
"Route @@"	0.0549511
"access road"	0.0549485
garden	0.0548996
expressway	0.0547173
artery	0.0542612
harbor	0.0535823
motorway	0.053484
bistro	0.0531801
Broadway	0.0531643
Canal	0.0525048
"Interstate @@"	0.0522889
"Brandenburg Gate"	0.0521806
aisle	0.0520825
driveway	0.0519019
inn	0.0515079
"Eighth Avenue"	0.0514386
amphitheater	0.0511622
"parking lot"	0.0511233
"bus terminal"	0.0510218
passageway	0.0509132
causeway	0.050775
campgrounds	0.0505882
interstates	0.0504361
"Interstate @@@"	0.0500856
hallway	0.0499272
mansion	0.049772
saloon	0.0492989
interstate	0.0492057
"ring road"	0.0489426
suburb	0.0487526
bed-and-breakfasts	0.0481943
"art gallery"	0.0481741
terrace	0.0481722
playground	0.0481149
"Second Avenue"	0.0479061
landmark	0.0476401
high-rise	0.0475828
"West Lake"	0.047571
resort	0.0475293
fountain	0.0475189
"fire station"	0.0472725
"dance floor"	0.0471102
rooftop	0.0470435
"conference center"	0.0468199
Tower	0.0467495
"office building"	0.0466303
"train station"	0.0466053
outskirt	0.0462605
"Highway @@@"	0.0457922
mosque	0.0456156
staircase	0.0455066
condominium	0.0451607
Marina	0.0451559
riverfront	0.0451053
"golf course"	0.0450947
townhouses	0.0450329
Stairway	0.0449222
"pumping station"	0.0448945
deck	0.0448029
"post office"	0.0448013
palace	0.044785
subdivision	0.0447086
patio	0.0446443
"Hollywood Boulevard"	0.0446151
sewer	0.0444704
subway	0.0443953
"rail line"	0.0443054
"resort hotel"	0.0440854
tunnel	0.0440763
Vista	0.0440259
bungalow	0.0436434
"Madison Avenue"	0.0435638
auditorium	0.0434959
"railroad track"	0.0433484
slum	0.0432476
arcade	0.043051
temple	0.0429638
"traffic circle"	0.0428544
waterway	0.0428158
nightlife	0.0428027
"department store"	0.0427517
Villa	0.0424751
dune	0.0424564
"amusement park"	0.0422193
"apartment building"	0.0421895
"town house"	0.0421545
"street corner"	0.0418798
"railroad station"	0.0418743
bed-and-breakfast	0.0416537
chapel	0.0416081
overpass	0.0412646
condo	0.0412461
catwalk	0.0411414
"Park Avenue"	0.0410982
wharf	0.0408023
shantytown	0.0406686
canyon	0.0406608
"dining room"	0.0405557
ballroom	0.0403833
boutique	0.0403297
"bus stop"	0.040292
"concert hall"	0.0402716
"civic center"	0.0402655
tavern	0.0402578
attraction	0.0402247
Seine	0.0401666
motel	0.0401319
))
(Boulez (desc 2112.65) (sims
Ravel	0.143761
Schoenberg	0.113731
"Pierre Boulez"	0.102534
Webern	0.100561
Stravinsky	0.0965637
Ozawa	0.0960405
"Leonard Bernstein"	0.0931171
Berlioz	0.092654
Chopin	0.0921505
Philharmonic	0.0847409
Copland	0.0819803
Puente	0.0789185
Rachmaninoff	0.0787447
Britten	0.0774326
"Seiji Ozawa"	0.0770818
Bartok	0.0765872
"Philadelphia Orchestra"	0.0758127
Reinhardt	0.0754145
LaChiusa	0.0750561
Elgar	0.0729851
"Robert Shaw"	0.070613
Shostakovich	0.0704243
"John Williams"	0.0691803
Masur	0.0676497
Joplin	0.0675987
"James Levine"	0.0670148
Bocelli	0.0669359
Marsalis	0.0668046
Panchen	0.0656709
Mahler	0.0653736
Messiaen	0.0646063
Schubert	0.0639987
Ellington	0.0631993
"Billie Holiday"	0.0621899
Tchaikovsky	0.0611045
ASO	0.0608221
Brahms	0.0607527
Setzer	0.0600292
DVORAK	0.0596976
Puccini	0.059693
Mikhailov	0.0592847
"Aaron Copland"	0.0591429
Gershwin	0.0589078
Mozart	0.0581518
Springsteen	0.0580588
Heinrichs	0.0579555
"Andre Previn"	0.0575561
Caruso	0.0573984
Coltrane	0.0571211
Muti	0.0568333
Branagh	0.0563302
Eizenstat	0.0555122
Meston	0.055051
Trudeau	0.0546382
Eubanks	0.0544374
Beazley	0.0533726
Papon	0.0533387
Spano	0.0532905
"Janis Joplin"	0.0532128
Goff	0.052811
Sondheim	0.0527919
Bernstein	0.0526701
Skiles	0.0523208
Ishihara	0.0515126
Tierney	0.0514425
Sheedy	0.0509334
Blondie	0.0509043
Alves	0.0504947
Fiennes	0.0504
Brister	0.0503658
Rowan	0.050327
Lafleur	0.050166
SAA	0.0498649
Beethoven	0.048942
Horowitz	0.0484443
Hirst	0.0483693
"de Charette"	0.0481166
Koirala	0.0479223
Nateq-Nouri	0.04769
Flanagan	0.0476415
Bouteflika	0.0476147
Rabe	0.0476073
Mellencamp	0.0475902
Cline	0.0475844
"Robert Johnson"	0.0475465
Dragila	0.0474735
Mehta	0.0473211
"Richard Strauss"	0.0470688
Slaney	0.046827
Harrick	0.0468161
Zenga	0.0468086
Dennehy	0.0465753
"Zubin Mehta"	0.046365
Streep	0.0461646
Heston	0.0461366
Menuhin	0.0460868
Domingo	0.0460592
Rothenberg	0.0458525
"Michael Skakel"	0.0458227
Koehler	0.0457332
"Abu Ala"	0.0456254
Debussy	0.0452622
Yoakam	0.0451188
Mineta	0.0450396
Marchand	0.0449714
Presley	0.0449299
Matthau	0.0448696
Chmura	0.0448141
Rawlings	0.0447387
Nilsson	0.044685
Xanana	0.0446279
Henning	0.044591
MANA	0.0445825
"Field Poll"	0.0442162
Streisand	0.0441571
"Pope John Paul"	0.0440841
krueger	0.0440169
Elton	0.043997
Pryor	0.0438362
Perec	0.0437406
"Van Raaphorst"	0.0437291
Heppner	0.0436919
Cavanaugh	0.043616
Blazevic	0.0434827
Cobain	0.0433569
Gielgud	0.0430493
Yandarbiyev	0.0430419
instrumentalist	0.0429393
Reiner	0.0429304
Nakata	0.0428761
"Wes Craven"	0.0428755
"Chuck Berry"	0.0428109
"Jim Harrick"	0.0427701
"Laurence Olivier"	0.0426631
Hirohito	0.0426503
Harbison	0.0426481
Balanchine	0.0425801
Raznatovic	0.0424866
Kodikian	0.0423071
Lennox	0.0422726
Hildegard	0.042182
Lennon	0.0420396
Crosby	0.0419608
Ruehe	0.0418755
Reese	0.0418602
Espinosa	0.0418311
maestro	0.0418178
Tendulkar	0.0417862
Shahak	0.0417558
Stoyanov	0.0417146
Moby	0.0416545
Ikeda	0.0416351
Tae-woo	0.0414339
Bashar	0.0411603
schematic	0.0409722
intranets	0.0408246
Wildhorn	0.0408081
Wolfensohn	0.0407471
Monteverdi	0.040562
Cubas	0.0405214
Ottey	0.0403997
Charest	0.0402787
Parrott	0.0401661
Alicea	0.0401582
"Gene Autry"	0.0401442
REEVE	0.0401205
McKellen	0.0401162
Bogart	0.0401083
"John Coltrane"	0.0400694
))
(bounce (desc 17390.9) (sims
bump	0.0901806
surge	0.0811508
rebound	0.0798146
upturn	0.077183
momentum	0.0740599
deflection	0.0710339
swing	0.0698295
hiccup	0.0694278
jolt	0.0674978
uptick	0.0666584
"breathing room"	0.0653204
dip	0.0641317
blip	0.0635009
coincidence	0.0634641
"nose dive"	0.0629391
swagger	0.0624787
volatility	0.0623509
recovery	0.0622845
dropoff	0.0602488
smooch	0.0599324
gyration	0.0582134
punch	0.0580678
Correction	0.057762
reversal	0.05714
twist	0.0567617
letdown	0.056719
fluctuation	0.055788
euphoria	0.0553826
windfall	0.0553152
breather	0.0550316
buzz	0.0546282
slump	0.0544272
turnaround	0.0543564
misstep	0.0538685
oomph	0.0538485
lob	0.0534158
inbounds	0.0533985
slowdown	0.0526657
chuckle	0.0524697
sell-off	0.0519335
"rate cut"	0.0518165
advantage	0.0517666
improvement	0.0514406
"day off"	0.0513401
things	0.0511991
"breaking ball"	0.051159
blooper	0.0506681
pause	0.0506183
spurt	0.050374
spike	0.0500686
vibes	0.0498279
burst	0.0495663
weakness	0.0495379
nod	0.0495336
gaffe	0.0494711
slant	0.0494011
grin	0.0491639
shakeout	0.0491226
up-and-down	0.04879
impression	0.0487436
distraction	0.0487003
valuation	0.0485849
wink	0.0482178
gimmick	0.0481839
slider	0.048008
wrinkle	0.0478916
showing	0.0478125
outs	0.0476742
turnout	0.0476427
hitch	0.0475689
downturn	0.0473456
boom	0.047339
"black eye"	0.0469611
Luck	0.0469528
wallop	0.0465826
stride	0.0464627
"turn of events"	0.0464573
timing	0.0464409
"mouse click"	0.0462054
enthusiasm	0.0461477
selloff	0.0460469
"three points"	0.0458772
upsurge	0.0455379
hangover	0.0452938
giggle	0.0450727
reprieve	0.0449949
respite	0.044686
smirk	0.0446243
"bull market"	0.0445873
optimism	0.0444725
"staying power"	0.0443695
falls	0.0443495
foothold	0.0443036
angle	0.0442976
hoopla	0.0440678
quirk	0.0439744
happening	0.0439089
tip-in	0.0438161
bubble	0.0437074
negative	0.0435794
"day of rest"	0.0434069
hike	0.0433315
cockiness	0.0432111
rhythm	0.0430374
"bad luck"	0.0429994
interception	0.0429808
"price increase"	0.0428834
luster	0.0428729
meltdown	0.042827
ribbing	0.0427809
personality	0.0427306
indication	0.042682
exaggeration	0.0426675
miscue	0.0425142
breakthrough	0.0425007
"four points"	0.0424747
paycheck	0.0424319
send-off	0.042404
curve	0.0423189
tremor	0.042208
falloff	0.0421122
outcome	0.0418803
tidbit	0.0418133
lull	0.0418037
comeback	0.0416318
"quick fix"	0.0416081
glitch	0.0415998
upside	0.0415408
exuberance	0.0415355
scenario	0.04153
"five points"	0.0414689
inkling	0.0414168
hype	0.0413516
bloke	0.0412864
charm	0.0412531
stamina	0.0411455
mishap	0.0410646
leverage	0.0410094
mood	0.0409763
headache	0.0409359
gamble	0.0409001
slipup	0.0408683
excitement	0.0407668
appetite	0.0407637
"good fortune"	0.0407565
"rate hike"	0.040675
header	0.0406112
disruption	0.0406103
toehold	0.0406079
runup	0.0402287
punt	0.0401936
adjustment	0.0401892
penny	0.0401718
dunk	0.040164
"economies of scale"	0.0400862
"tax benefit"	0.0400802
breath	0.0400606
bruise	0.0400371
))
(bouncer (desc 8928.22) (sims
grounder	0.152324
Tapper	0.14343
"ground ball"	0.132444
dribbler	0.131928
chopper	0.120582
one-hopper	0.110762
comebacker	0.102731
roller	0.0944509
popup	0.0943096
groundout	0.0931293
liner	0.0861085
"line drive"	0.0773018
bunt	0.0764015
"fly ball"	0.07373
hostess	0.0733789
bartender	0.0726238
busboy	0.0722653
waitress	0.0707892
stripper	0.065833
"sacrifice fly"	0.0658218
"maintenance man"	0.0582713
"security guard"	0.0574613
waiter	0.0550192
doorman	0.0528661
policeman	0.0513024
"prison guard"	0.0511522
pop-up	0.0511017
chauffeur	0.0506562
"base hit"	0.0506469
sitter	0.0505478
"Stan Collymore"	0.0503888
clerk	0.0500551
DJ	0.0500388
paralegal	0.0500085
bookkeeper	0.0495378
janitor	0.0495217
bodyguard	0.0494222
"solo homer"	0.0494059
floater	0.048673
receptionist	0.0485594
"police sergeant"	0.0484158
watchman	0.0483568
"foul ball"	0.0482086
schoolmate	0.0481963
bodybuilder	0.0480757
"disc jockey"	0.0473346
"pop fly"	0.0470829
"traffic cop"	0.0470336
attendant	0.047018
bricklayer	0.0467757
census-takers	0.0466376
patron	0.046565
blooper	0.0461334
"Lee Harvey Oswald"	0.0456221
"police captain"	0.0452101
"Kendra Webdale"	0.0452055
bellhop	0.0451886
"account executive"	0.0447349
groundouts	0.0444403
temp	0.0441193
housekeeper	0.0439797
firefighter	0.0438798
deejay	0.0435739
maid	0.0435619
apprentice	0.0435062
publicist	0.0434827
bailiff	0.0434394
"day laborer"	0.0433596
stool	0.0433054
"management consultant"	0.0429897
"Phoenix Mercury"	0.0429405
policemen	0.0427932
stuntman	0.04278
welder	0.0427753
handyman	0.0427029
passerby	0.0424624
stepdaughter	0.0422894
Sergeant	0.042289
prostitute	0.0421316
stewardess	0.04208
"truck driver"	0.041738
"bus driver"	0.0416389
underling	0.0416367
tribesman	0.04159
enforcer	0.0413214
"men's room"	0.0413024
curveball	0.041285
troubadour	0.0411312
stockbroker	0.041027
"murder suspect"	0.0410147
three-pointers	0.0409511
screamer	0.0407893
"wild pitch"	0.0407845
"house painter"	0.0406622
copywriter	0.0406179
bystander	0.0405902
hopper	0.0400987
))
(bound (desc 11986.7) (sims
bounds	0.0638006
"moral obligation"	0.0424764
heading	0.0420374
ill-prepared	0.0401893
boundary	0.0401767
))
(boundary (desc 59287.1) (sims
border	0.156214
"boundary line"	0.117044
demarcation	0.103709
frontier	0.100053
limit	0.0914331
"dividing line"	0.0829609
parameter	0.0814471
distinction	0.0781333
line	0.077906
barrier	0.0778336
"demarcation line"	0.0769395
definition	0.0744674
zone	0.0713732
area	0.0704367
borderline	0.0683959
bounds	0.0674172
"continental shelf"	0.0671394
separation	0.0670668
guideline	0.0663489
status	0.0659476
structure	0.0654087
rule	0.0652552
"territorial water"	0.0633798
sovereignty	0.0633047
scope	0.0630917
difference	0.062528
Limitation	0.0623306
framework	0.0608108
policy	0.0600279
criteria	0.0595112
settlement	0.0586222
LoC	0.0585637
map	0.0578172
geography	0.0571899
law	0.0571726
territory	0.056948
confines	0.0568664
requirement	0.0565674
principle	0.0562691
land	0.0558397
standard	0.0558132
distance	0.0555453
relationship	0.0553385
"red line"	0.0548583
regulation	0.0545134
jurisdiction	0.0544212
code	0.054157
chasm	0.0540946
norm	0.0540406
perimeter	0.0538196
concept	0.0536188
"fault line"	0.0532621
timetable	0.0530296
mechanism	0.0526431
constraint	0.0525664
route	0.052499
cooperation	0.052468
diversity	0.0521385
range	0.0519936
conflict	0.0519075
river	0.0516051
restriction	0.0514731
contour	0.0514729
quota	0.051376
arrangement	0.0512616
edge	0.0509915
procedure	0.0509409
autonomy	0.0509173
road	0.0508827
culture	0.0508261
gap	0.0508261
identity	0.0508003
aspect	0.0507906
tradition	0.0506323
balance	0.0505184
wall	0.0504933
Treaty	0.0503031
nature	0.0501676
provision	0.0501626
agenda	0.0499275
constitution	0.0498801
environment	0.0498267
matter	0.0498084
language	0.0497538
bridge	0.0496808
meaning	0.0496673
relation	0.0495235
notion	0.0494555
coastline	0.0494312
pattern	0.0493494
resource	0.0490424
strategy	0.0489858
history	0.0489764
checkpoint	0.0488579
role	0.0488409
"property right"	0.0487969
development	0.0487675
partnership	0.0485258
constituency	0.0484399
disparity	0.048285
"state line"	0.048187
district	0.0481232
"ground rule"	0.0480879
ownership	0.0479921
mandate	0.0477867
religion	0.0476185
location	0.0476116
"basic principle"	0.0475616
threshold	0.0474647
fate	0.0471432
vision	0.047012
characteristic	0.0467245
landscape	0.0467178
pact	0.0466803
dimension	0.0466646
integration	0.0466517
dispute	0.0465669
gender	0.0464236
ideology	0.0464038
corridor	0.0463238
circumstance	0.0462057
division	0.0461776
heritage	0.04606
representation	0.0460497
JERUSALEM	0.0460493
climate	0.0460263
"time limit"	0.046021
condition	0.045978
demographics	0.0459633
ecology	0.0458869
waterway	0.045862
method	0.045697
infrastructure	0.0456837
reality	0.0456612
fundamental	0.0455156
quality	0.0454985
integrity	0.0454978
park	0.0453732
budget	0.0453507
agreement	0.0453179
doctrine	0.045272
unity	0.0452658
protection	0.0452317
contradiction	0.0450966
value	0.0450694
understanding	0.0449564
taboo	0.0449264
security	0.0448956
highway	0.0447227
composition	0.0446247
Gulf	0.0446174
context	0.0445918
ground	0.0445702
"free trade"	0.0445275
building	0.0443398
annexation	0.0443277
authority	0.0442806
realm	0.0442633
dynamic	0.0441676
priority	0.0440578
forest	0.0440275
statute	0.0439314
"human right"	0.0438027
wording	0.0437321
curriculum	0.0436962
interpretation	0.0436541
fence	0.0436056
property	0.0435852
synergy	0.0435813
orientation	0.043557
ethic	0.0435279
space	0.0435041
islet	0.0433805
linkage	0.0433416
protocol	0.0433041
responsibility	0.0432944
perception	0.0432177
horizon	0.0431861
precedent	0.0431499
channel	0.0431199
truce	0.0431151
image	0.0430378
Formula	0.0430143
charter	0.0428543
sphere	0.0427848
objective	0.0426971
makeup	0.0426259
"political system"	0.0425937
village	0.042581
gate	0.0425659
size	0.0425119
parallel	0.0424703
ecosystem	0.0423806
zoning	0.0423622
partition	0.0422966
tariff	0.042267
choice	0.0422424
stereotype	0.0422048
origin	0.0421824
distribution	0.0421554
))
("boundary line" (desc 2269.99) (sims
"district line"	0.186055
"battle line"	0.152431
boundary	0.117044
borderline	0.0931394
"demarcation line"	0.0888913
"election district"	0.0837006
"dividing line"	0.079666
"Beibu Gulf"	0.0743859
"trunk line"	0.0726669
LoC	0.0674639
"Free Trade Agreement"	0.0649451
Rubicon	0.0538562
"continental shelf"	0.0537851
"red line"	0.0528732
"Great Divide"	0.0526845
"oil pipeline"	0.0489834
"fire wall"	0.0477494
"railway line"	0.0471745
"Stability Pact"	0.0467559
"straight line"	0.0459764
reapportionment	0.0438029
blurring	0.0432691
delineation	0.0429859
"rest day"	0.0425763
"Green Line"	0.0418055
"baseball league"	0.0414576
complementarity	0.0411435
"mine field"	0.041002
))
(bounds (desc 19355.6) (sims
confines	0.0747089
realm	0.0723776
parameter	0.0678285
boundary	0.0674172
bound	0.0638006
purview	0.0553345
chip-in	0.0482851
double-bogey	0.0476095
bunker	0.0456311
backfield	0.0454139
context	0.0453087
semblance	0.043762
constraint	0.0412646
limelight	0.0409807
punt	0.0406936
))
(bounty (desc 16478.5) (sims
reward	0.101596
windfall	0.0857992
"price tag"	0.0749633
bonus	0.0744906
jackpot	0.0702613
PRICETAG	0.0664326
payout	0.0641175
"asking price"	0.0638177
sum	0.0630457
savings	0.0627454
bonanza	0.0624851
Ransom	0.0610623
purse	0.0603031
wealth	0.0597727
riches	0.0596686
trove	0.0588345
"purchase price"	0.0588279
"operating budget"	0.0583982
prize	0.058346
stipend	0.0580499
salary	0.0580364
payday	0.0579888
"annual payment"	0.0577297
"tax bill"	0.0575578
"nest egg"	0.0568159
allotment	0.0566064
"sticker price"	0.0563785
gift	0.0560353
"down payment"	0.0557141
donation	0.0554529
paycheck	0.0553973
"entrance fee"	0.05483
kickback	0.0545681
buyout	0.0541876
"war chest"	0.0538736
treasure	0.0537677
payoff	0.0532087
refund	0.0529701
saving	0.0527369
bribe	0.0524104
"tax benefit"	0.0521104
abundance	0.0519096
dividend	0.0514817
"cash payment"	0.0511835
endowment	0.0510109
discount	0.0506268
"cash bonus"	0.0505473
royalty	0.0504899
maximum	0.0503139
"prize money"	0.0502643
bequest	0.0502001
rebate	0.0493523
infusion	0.0486417
cornucopia	0.0478349
premium	0.0476508
incentive	0.0474334
"tax break"	0.0474108
subsidy	0.0472
compensation	0.0468071
array	0.0467607
pension	0.0462827
surplus	0.0457957
edict	0.0453884
"good fortune"	0.0452542
minimum	0.0451363
Vista	0.0450376
"line of credit"	0.0450307
tab	0.0449804
souvenir	0.0449725
bail	0.0448846
largess	0.0448392
perk	0.0447862
"market value"	0.044642
"amount of money"	0.0446054
"list price"	0.0445774
inheritance	0.044328
hoard	0.0442161
spoils	0.0441758
lode	0.0440357
shortfall	0.0439585
fruit	0.0438511
"tax deduction"	0.0436095
valuation	0.0433696
Lien	0.0428525
Tuition	0.0427104
belonging	0.0427082
bargain	0.0426723
proceeds	0.0426379
allocation	0.0424753
severance	0.0417642
"nearly $@@@,@@@"	0.0416753
appropriation	0.0416706
"retirement benefit"	0.0415857
mil	0.0412717
"ad campaign"	0.041132
bailout	0.0409882
portfolio	0.0408528
inventory	0.0407402
"tax cut"	0.0407081
assortment	0.0406459
glory	0.0405579
"tax credit"	0.0405392
upfront	0.0405064
diversity	0.0403693
catalog	0.0402982
"pretax charge"	0.0402382
))
(bouquet (desc 18616.3) (sims
wreath	0.143155
flower	0.122383
"teddy bear"	0.106641
aroma	0.0895697
vase	0.0893497
Fragrance	0.0810836
candle	0.0769481
carnation	0.0760748
garland	0.0738576
blossom	0.0737454
"flower arrangement"	0.0730005
armful	0.0723909
petal	0.0713387
scent	0.0700322
bundle	0.0679481
streamer	0.0662108
perfume	0.0652315
quilt	0.064565
poinsettia	0.0629215
telegram	0.0624042
"bus ticket"	0.0621962
bloom	0.0618529
flavor	0.0617243
balloon	0.0606205
decoration	0.0593833
color	0.0590814
bottle	0.0589146
blanket	0.0580193
clump	0.0579709
poster	0.05753
pot	0.0568429
necklace	0.0567289
smell	0.0566585
bunting	0.0565463
gift	0.0564017
banner	0.0560266
swag	0.055974
shade	0.0557409
sprig	0.0556804
photograph	0.0549514
tray	0.0548426
crucifix	0.054484
garden	0.0541527
tapestry	0.0541523
scarf	0.0538458
confetti	0.0536755
bead	0.0536323
ornament	0.0536012
lantern	0.0535978
leaf	0.0534777
tulip	0.0531575
"shopping bag"	0.0527348
pile	0.0526312
flag	0.0524437
urn	0.052396
ribbon	0.0523328
basket	0.0522355
plaque	0.0522105
suitcase	0.0520456
postcard	0.0519951
sculpture	0.0518586
bucket	0.051773
painting	0.051251
bag	0.051067
envelope	0.050253
pillow	0.050167
aftertaste	0.0501522
statue	0.049955
Coin	0.0498665
hat	0.0498511
placard	0.0498364
shawl	0.0498052
hue	0.0492405
cluster	0.0488527
"piece of paper"	0.0488209
cutout	0.0486865
lamp	0.0484921
towel	0.0483813
texture	0.048283
bulb	0.048279
handbag	0.0482527
rug	0.0480393
memento	0.0479766
"sheet of paper"	0.0479494
Lei	0.0471827
jar	0.0469755
dish	0.0469593
cake	0.0467006
pail	0.0465082
"water bottle"	0.0465077
fruit	0.0464461
poem	0.0463479
foliage	0.0462976
rosary	0.0462845
mural	0.0462301
acidity	0.0462249
cloth	0.0460535
"Christmas card"	0.0460444
jewelry	0.0459414
orchid	0.0458691
mosaic	0.0457927
coffin	0.0457513
crosse	0.045667
meadow	0.0454505
platter	0.0453446
"greeting card"	0.0453358
T-shirt	0.0449525
wristband	0.0446533
trophy	0.0445578
fistful	0.0443609
tablecloth	0.0443237
tannin	0.0440952
trinket	0.0440305
crate	0.043667
"explosive device"	0.0435992
chrysanthemum	0.0434169
packet	0.0430313
wildflower	0.0426578
sticker	0.0426479
dowry	0.0426297
flashlight	0.0424809
drawing	0.0424506
replica	0.0424481
doll	0.0424219
"pipe bomb"	0.0424199
greenery	0.0423105
Tin	0.0422277
firecracker	0.042216
"national flag"	0.0420849
salad	0.0418543
candy	0.0418207
piles	0.041773
souvenir	0.0415186
well-wisher	0.0414674
figurine	0.041448
Casket	0.0414247
"beer can"	0.0414206
carpet	0.041411
furnishings	0.040851
veil	0.040817
pen	0.0407417
shoe	0.0407148
portrait	0.0406187
shrub	0.0406059
headstone	0.0406054
condom	0.0405712
seedling	0.0405698
plate	0.0405156
binder	0.0404938
mask	0.0404093
backpack	0.0402665
wig	0.040233
tarpaulin	0.0401795
sheaf	0.040048
))
(bourbon (desc 5844.81) (sims
rum	0.219942
Cognac	0.21763
vodka	0.203362
whiskey	0.191249
tequila	0.188537
liqueur	0.167517
brandy	0.167385
whisky	0.166598
sherry	0.163636
"orange juice"	0.147446
scotch	0.145829
gin	0.14377
"white wine"	0.138626
"pineapple juice"	0.133631
"brown sugar"	0.133268
vinegar	0.130648
"tomato paste"	0.127549
"lime juice"	0.125644
"corn syrup"	0.124553
"lemon juice"	0.123026
"soy sauce"	0.122503
Madeira	0.12127
"apple juice"	0.119421
"cranberry juice"	0.119361
buttermilk	0.117574
"Grand Marnier"	0.116599
"tomato juice"	0.113762
cornstarch	0.113396
half-and-half	0.112663
"peanut oil"	0.111573
vermouth	0.111528
"coconut milk"	0.110654
"red wine"	0.109004
"chicken broth"	0.108991
"heavy cream"	0.107003
"ginger ale"	0.106888
"chili sauce"	0.1061
cider	0.105226
"sesame oil"	0.103368
"maple syrup"	0.102337
"cider vinegar"	0.0996623
"wine vinegar"	0.0994117
mustard	0.0982178
"chicken stock"	0.0964156
"mineral water"	0.0956922
champagne	0.0950889
liquor	0.0947741
soda	0.0932259
"hoisin sauce"	0.0926396
"egg yolk"	0.0904173
"orange zest"	0.0892402
ketchup	0.0891777
"evaporated milk"	0.0880456
raisin	0.0878233
"sour cream"	0.087556
Seltzer	0.0874028
"whipping cream"	0.0873981
Calvados	0.0866055
"Dom Perignon"	0.0864946
"root beer"	0.0861998
booze	0.0861592
molasses	0.0856622
flavoring	0.0852586
stout	0.0849405
butter	0.0849335
syrup	0.0838972
"olive oil"	0.0836581
"fruit juice"	0.0826294
honey	0.0825172
lemonade	0.082086
miso	0.0816254
"Worcestershire sauce"	0.0812256
"skim milk"	0.0810205
"beef broth"	0.0787259
"iced tea"	0.0786564
shallot	0.0786239
Zinfandel	0.0782418
juice	0.0779551
Beer	0.0775917
cocoa	0.0773362
raspberry	0.0766945
yolk	0.0760098
"egg white"	0.0753298
vanilla	0.0748153
"tomato sauce"	0.0745545
sugar	0.0743438
absinthe	0.0738281
"baking soda"	0.0734524
"curry powder"	0.0733204
"sesame seed"	0.0730567
"grapefruit juice"	0.0730111
currant	0.0727356
"vegetable oil"	0.0724763
cornmeal	0.0721151
margarine	0.0712014
"Diet Coke"	0.0704565
"chili powder"	0.070197
ginger	0.0699042
thyme	0.0698659
"barbecue sauce"	0.0684229
bubbly	0.0683169
"ice water"	0.0682987
mayonnaise	0.067991
chocolate	0.0677952
"blue cheese"	0.067473
espresso	0.0672315
paprika	0.0669477
"pine nut"	0.0669472
broth	0.0667559
coconut	0.0663908
Chianti	0.0663287
Guinness	0.0661039
"sparkling wine"	0.0660781
lemon	0.0657727
"condensed milk"	0.0655608
peppercorn	0.0655566
shortening	0.0654446
Martini	0.0652982
sauce	0.0651988
yogurt	0.0644834
"hot pepper"	0.0637689
"vanilla extract"	0.0633284
flour	0.0628576
"spring water"	0.062808
"peanut butter"	0.0626743
gruel	0.0624801
cilantro	0.0624797
"red pepper"	0.0621978
tapioca	0.0620922
"green tea"	0.0620438
teriyaki	0.060967
Riesling	0.0607772
"bay leaf"	0.0607382
pecan	0.060421
"lemon peel"	0.0603909
"dried fruit"	0.0603619
"Pinot noir"	0.0603226
cinnamon	0.0602683
"California wine"	0.0601344
parsley	0.0600054
merlot	0.0597851
almond	0.0597102
horseradish	0.0596908
Margarita	0.0592071
"orange marmalade"	0.0585181
puree	0.0584228
Cabernet	0.0584203
cacao	0.0583353
onion	0.0582268
tarragon	0.0581392
chevre	0.0579637
cola	0.0576958
Cigar	0.0574566
fraiche	0.0570811
ricotta	0.0566471
"hot chocolate"	0.056386
"soda pop"	0.05618
Garlic	0.0561651
"star anise"	0.0556339
Burgundy	0.0554904
"alcoholic beverage"	0.0553396
"cooking oil"	0.0552539
perfume	0.0548527
methanol	0.0544724
polenta	0.0542533
"goat cheese"	0.0537556
jalapeno	0.0534563
Chardonnay	0.0533718
"lemon zest"	0.0533103
Evian	0.0527937
caffeine	0.0527822
lager	0.052746
"beef stock"	0.0527422
"milk chocolate"	0.0526716
"macadamia nut"	0.0526493
nectar	0.0525548
Liquid	0.052449
hazelnut	0.0521354
allspice	0.052134
"cream cheese"	0.0518883
"Bud Light"	0.0517158
"pumpkin seed"	0.051652
custard	0.0516355
pineapple	0.0514816
coke	0.0514266
tahini	0.0509311
lime	0.0508689
soy	0.0505635
marjoram	0.0504623
cappuccino	0.0504458
apricot	0.0504361
dill	0.0500402
"tap water"	0.0498942
"coriander seed"	0.0497452
adrenalin	0.0497001
"salad dressing"	0.0496987
blueberry	0.049596
"Cabernet Sauvignon"	0.0495748
"Coca Cola"	0.0495624
lemongrass	0.0495054
))
("Bourbon Street" (desc 1492.76) (sims
"French Quarter"	0.0930832
"Sunset Strip"	0.0601891
"Dirty Bird"	0.0554672
"Liberty Bell"	0.0549709
"Fox TV"	0.047581
Stonehenge	0.0474676
"Golden Gate Bridge"	0.0473071
pick-and-roll	0.0472687
Boomerang	0.0465521
"slave ship"	0.0463874
"West Berlin"	0.0455324
"exact opposite"	0.0447535
honky-tonk	0.0442573
trampoline	0.0430119
musketeer	0.0419862
ritz	0.0413783
WordPerfect	0.041187
karaoke	0.0409518
"Sweeney Todd"	0.0402215
espresso	0.0400245
))
(bourgeois (desc 1270.63) (sims
Brinkley	0.12381
Begala	0.107798
Azinger	0.094543
Haarhuis	0.0891242
Ince	0.0791897
Bella	0.0773162
Burgess	0.0762986
Silas	0.0740669
Scholes	0.0729265
heretic	0.0727637
Ciampi	0.0690175
Kagame	0.0664657
Coffey	0.0660313
Lambert	0.061227
Durand	0.0596934
hippo	0.0591473
Maurice	0.0542563
Neff	0.0534166
Dobson	0.0533857
Gascoigne	0.052203
Cayard	0.0514186
Rossotti	0.0512355
chauvinist	0.0497828
Margolis	0.0496902
"movie maker"	0.0494798
scum	0.0493379
PITTS	0.0487843
"La Russa"	0.0474863
"chamber orchestra"	0.0470547
Bratton	0.0468368
Gaynor	0.0463513
Koroma	0.0461394
Padilla	0.0460936
Ebersol	0.0456759
Conley	0.0451608
"telephone book"	0.0442165
Kimball	0.0438706
Noriega	0.0438051
Tsvangirai	0.0435669
Wasserstein	0.0434805
morel	0.0433793
Suarez	0.043211
Marinovich	0.0426983
Mahomes	0.042489
Nilsson	0.0424121
Mineta	0.0421339
Turetzky	0.0421232
Colbert	0.0419165
"wishful thinking"	0.0419109
Patel	0.0414437
eighty	0.0412799
Fuente	0.0412325
Sidot	0.0411398
Sanan	0.0410727
Beazley	0.0409501
gringo	0.0406835
Biden	0.0406721
Marchment	0.0406586
Demps	0.0404478
Bove	0.0401471
))
(bourgeoisie (desc 2116.41) (sims
nobleman	0.0721757
intelligentsia	0.0716243
monde	0.0626509
gringo	0.0565318
Bohemia	0.0534436
hath	0.0514565
snobbery	0.0510074
"Homo sapiens"	0.0509545
baby-boomers	0.0494678
"Reagan Democrats"	0.0488018
Anglos	0.0485095
oligarchy	0.0483503
demimonde	0.0469191
casualness	0.0464354
suburbanite	0.0462912
INEC	0.0454561
cantor	0.0451522
"dog tag"	0.0449604
"word meaning"	0.0448661
Mullah	0.0447137
chauvinist	0.0438079
"plantation owner"	0.0436651
"US Congress"	0.0433061
Hartley	0.0428476
aristocracy	0.0424441
hodgson	0.0419321
"art dealer"	0.041852
"feminist movement"	0.0416644
burgher	0.0412242
"San Franciscans"	0.0412195
"black person"	0.0411695
Cosell	0.0409119
"landscape architect"	0.0408728
"elevator operator"	0.0408026
"legal code"	0.0405805
"Armed Islamic Group"	0.0404281
pantyhose	0.0403724
"business establishment"	0.0402927
"wedding party"	0.040209
aristocrat	0.0401727
ordinariness	0.0401425
))
(Bourne (desc 1492.94) (sims
"George Balanchine"	0.0850959
Tharp	0.08348
Forsythe	0.0769572
"Jerome Robbins"	0.0767307
"Van Sant"	0.07348
Edelstein	0.0644682
Tchaikovsky	0.0626492
Girard	0.0611848
"Sandra Voelker"	0.0573394
Puzo	0.0567252
Montalvo	0.0540681
Durwood	0.0531016
Liberman	0.0509861
"Bob Fosse"	0.0502553
McQueen	0.0498119
Manheim	0.0491484
Ailey	0.0488439
Balanchine	0.0481789
Hammerstein	0.047779
Lobo	0.0473027
Borodin	0.0470955
Broaddrick	0.0460499
"Susan Stroman"	0.0459101
Ferrer	0.045882
Squier	0.0458687
Etherton	0.0450005
Mejia	0.0448347
Machado	0.0443308
Inman	0.0441782
Constantinescu	0.0441701
McAllister	0.0438942
granger	0.0436103
McKenzie	0.0432563
Mendes	0.0422955
Smyers	0.0420081
Barnaby	0.041726
Khorkina	0.0413051
Ofili	0.0411719
Baird	0.0408571
Dennehy	0.0408456
Zucker	0.0405992
"Wang Junxia"	0.0405954
Dragila	0.0404863
Wasserstein	0.040451
Kodikian	0.0403021
McGarity	0.0400935
))
(Bourque (desc 12553.7) (sims
"Ray Bourque"	0.142278
Samsonov	0.115311
Messier	0.113831
Leetch	0.113605
ALLISON	0.112492
Nedved	0.106392
Fleury	0.105608
Laudrup	0.103753
Primeau	0.103137
Modano	0.102756
Bure	0.102616
Lindros	0.0986516
Gretzky	0.0977566
Khristich	0.0962509
Andreychuk	0.0962062
Duchesne	0.0949466
Yzerman	0.0946772
Jagr	0.0946709
Palffy	0.0944696
Tkachuk	0.092204
Griffey	0.0921244
Recchi	0.0913122
Tverdovsky	0.0903687
Stumpel	0.08968
Forsberg	0.0894139
Pippen	0.0891965
Donato	0.0888176
Blake	0.0886718
Gugliotta	0.088114
MARBURY	0.0876987
Hardaway	0.0876563
Berard	0.0867999
McDyess	0.085996
Reichel	0.0859658
Ceballos	0.0857668
Robitaille	0.0853157
Kariya	0.085263
MacLean	0.0840107
Sydor	0.0839656
Swann	0.0835814
Alou	0.0834187
Hatcher	0.0833824
Ewing	0.0826044
Niedermayer	0.0823492
Roenick	0.0822475
Audette	0.082126
Holdsclaw	0.0820347
Hamm	0.0817714
Hejduk	0.0816592
Baerga	0.0813467
Barkley	0.0806277
Dafoe	0.0799661
Crenshaw	0.0799242
"Brett Hull"	0.0788781
Olajuwon	0.0786459
Hasek	0.0780945
Vaughn	0.0780181
Nieuwendyk	0.0776396
Tocchet	0.0775405
WARRICK	0.0774894
Peca	0.0772475
"Del Piero"	0.0772257
Wheatley	0.0771417
Nomo	0.0768057
Langenbrunner	0.076739
Rodman	0.0763299
"Van Exel"	0.0763192
Elway	0.0761447
Aikman	0.0760012
Smolinski	0.0759652
Clemens	0.0752201
Laettner	0.075218
Oakley	0.0751615
PRONGER	0.0750929
Alomar	0.0747584
Faulk	0.0745531
Samuelsson	0.0744337
Carter	0.0742295
Lemieux	0.0740096
Nicklaus	0.0734693
Piazza	0.0733733
Appier	0.0732877
Norstrom	0.0726319
Howe	0.0726256
Sprewell	0.0725537
Harbaugh	0.0723758
Stevens	0.0722637
"Steve Heinze"	0.0718105
Johnson	0.0716205
murphy	0.0712027
Larkin	0.0711091
Sakic	0.0709246
Yashin	0.070899
Lehtinen	0.0705409
Galloway	0.0704599
Sykora	0.0703791
Canseco	0.0703506
Heinze	0.0702081
"Kyle McLaren"	0.0700614
Irvin	0.0699679
Finley	0.069945
Daigle	0.0698139
Zanardi	0.0697555
Lacroix	0.0695329
Marino	0.0694049
Carbonneau	0.0691017
Flutie	0.0690563
DiMaio	0.0689925
Lett	0.0689489
Kluivert	0.0687791
"Eric Lindros"	0.0685483
Thornton	0.068459
Plummer	0.0683353
Hoch	0.0683288
Batistuta	0.0681819
Anderson	0.067883
Rodriguez	0.0678269
Bryant	0.067773
Harkes	0.0677593
"Rob Blake"	0.0676039
Gilmour	0.0673947
Mondesi	0.0666576
"Sergei Samsonov"	0.0665521
"Van Horn"	0.0665319
Kerr	0.0662569
Odom	0.0661965
Bonilla	0.0661463
hermosillo	0.0658768
Cota	0.0657278
"Jason Allison"	0.065672
Kukoc	0.0654814
"Patrick Ewing"	0.0654215
"Byron Dafoe"	0.0654084
Neagle	0.0653566
Nowitzki	0.065348
Stoudamire	0.0652446
Najera	0.0652241
Kidd	0.0652156
Garcia	0.0651667
MacInnis	0.0651243
Lopez	0.0648868
Holmgren	0.0648717
Shoate	0.0648447
Fedorov	0.064746
Tanui	0.0645856
Unser	0.0645631
"Mark Messier"	0.0645162
Iverson	0.0645082
Fiset	0.0643996
Payton	0.0643645
Olowokandi	0.0642958
"Theo Fleury"	0.0642723
Maradona	0.0642509
Cienfuegos	0.0642317
Baggio	0.0641347
Sanders	0.0640841
Schilling	0.0639465
DiSarcina	0.0639326
"Chris Drury"	0.0638918
Stewart	0.0638214
Saberhagen	0.0637571
Khabibulin	0.0636607
Fisk	0.0636332
"Mike Piazza"	0.0635955
Selanne	0.0634656
Gonzalez	0.0634445
Belichick	0.0633671
Wadsworth	0.06333
Jonsson	0.0632854
McGwire	0.0631908
Perec	0.063142
Sosa	0.0630664
Ronaldo	0.063055
Duval	0.0630446
Zidane	0.0630235
"Joe Thornton"	0.0630212
Beltre	0.0629859
Bergkamp	0.0629652
Bodine	0.0628221
Testaverde	0.0627876
Turek	0.0627648
Milloy	0.0627197
Williams	0.0626628
"Rob DiMaio"	0.0626552
smith	0.0625019
Plante	0.0624614
Detmer	0.0624273
"Ulf Samuelsson"	0.0624258
Guthridge	0.0624171
McSorley	0.062364
Keane	0.0622999
Zubov	0.0621315
Richter	0.0620211
Francis	0.061956
Turgeon	0.0619497
Sehorn	0.0619438
Bowden	0.0619008
Palmeiro	0.0618976
Meares	0.0618399
Fortson	0.0618174
))
(Bourse (desc 25129.8) (sims
"stock exchange"	0.246727
"stock market"	0.206064
sharemarket	0.156566
index	0.13983
"Shanghai Stock Exchange"	0.135392
"Tokyo Stock Exchange"	0.13353
Nasdaq	0.131925
"FTSE @@@"	0.129405
"CAC @@"	0.127196
"blue-chip stock"	0.127096
"blue chip"	0.125948
market	0.124122
"Hong Kong Stock Exchange"	0.124017
Nikkei	0.121206
"bond market"	0.116726
"Australian dollar"	0.113479
"New York Stock Exchange"	0.111432
"Kuala Lumpur Stock Exchange"	0.110965
"bond price"	0.108921
"foreign exchange market"	0.108839
"Stock Exchange of Thailand"	0.107507
"London Stock Exchange"	0.107502
KLSE	0.106317
"Straits Times Index"	0.105756
"Philippine peso"	0.103873
"Shanghai Composite Index"	0.103278
STI	0.103223
"Xetra Dax"	0.100001
rupiah	0.0999207
Stocks	0.0995468
"Philippine Stock Exchange"	0.0977886
industrials	0.0975609
"securities market"	0.0974776
"Hang Seng Index"	0.0972579
"currency market"	0.0969777
"Shenzhen Stock Exchange"	0.0964952
"Wall Street"	0.0949689
exchange	0.0939036
"Hang Seng"	0.0937161
Dow	0.0922419
"Karachi Stock Exchange"	0.0887547
currency	0.0883727
CAC-@@	0.0875248
rand	0.0865422
"Jakarta Stock Exchange"	0.0858982
"equity market"	0.0857828
peso	0.0851331
stock	0.0847214
sub-index	0.0834533
"market average"	0.0830215
"Kuwait Stock Exchange"	0.0826885
"futures exchange"	0.0812081
"futures price"	0.0808887
"futures market"	0.0802584
"Big Board"	0.0797083
"Nikkei Stock Average"	0.0785711
Sensex	0.0781031
DAX	0.0779676
"oil price"	0.0779316
Frankfurt	0.0777741
"B share"	0.0765436
"Dow Jones Industrial Average"	0.0761305
economy	0.0748285
indices	0.0748109
"First Section"	0.0746799
"technology issue"	0.0746744
B-shares	0.0746064
yen	0.0745891
"financial institution"	0.0741029
"financial center"	0.0732361
"Straits Times Industrials Index"	0.0731235
KSE	0.071881
"Stock Exchange of Hong Kong"	0.0714491
Bovespa	0.0711232
sector	0.0699807
FTSE	0.0697058
"Nasdaq Stock Market"	0.069249
trading	0.0687578
baht	0.0686919
Euro	0.0683813
Composite	0.0683605
"American Stock Exchange"	0.0676207
"insurance market"	0.0669911
"Hang Seng China Enterprises Index"	0.0662792
"central bank"	0.0660755
"commercial bank"	0.0659901
BHP	0.0654415
"Singapore dollar"	0.0651107
"housing market"	0.0640985
"banking system"	0.064005
"share price"	0.0639428
"London Metal Exchange"	0.0637934
"Bombay Stock Exchange"	0.0632957
"consumer price index"	0.0626908
"New Zealand dollar"	0.0625199
indicator	0.0623526
NYSE	0.0615827
"Composite Index"	0.0613808
"News Corp"	0.0612305
"automobile industry"	0.0611457
"retail sale"	0.0604912
IPC	0.0603545
"Foreign Exchange Rates"	0.0602901
"housing industry"	0.0602652
"money market"	0.0599916
"vehicle sale"	0.0599154
GDP	0.0597731
"Canadian dollar"	0.059447
"chamber of commerce"	0.0591126
"home sale"	0.0590942
"fertility rate"	0.0587913
rupee	0.0581701
"Sensitive Index"	0.058052
"banking industry"	0.0579553
airline	0.0577924
"Chicago Board of Trade"	0.0576857
Banks	0.0576729
shipbuilder	0.0574715
"foreign exchange"	0.0572382
"world economy"	0.0572232
"inflation rate"	0.0571608
"Dow Jones"	0.057153
carmakers	0.0569194
"oil market"	0.0569178
exporter	0.056831
"film industry"	0.0566951
"interest rate"	0.0566045
airport	0.0564696
"birth rate"	0.0561157
blue-chips	0.0559625
"price index"	0.0559255
DSE	0.0558864
Shanghai	0.055698
"debt market"	0.0556874
"Weighted Price Index"	0.0555702
ruble	0.0555257
brokerage	0.0555225
tourism	0.0553549
Telecom	0.0548096
bullion	0.0546774
"trading partner"	0.0539654
ANZ	0.0531868
ringgit	0.0531708
Tokyo	0.0531288
"retail price index"	0.0529612
steelmaker	0.0529266
"electronics industry"	0.0525367
"Rio Tinto"	0.0524817
sentiment	0.0524581
"S&AMP;P"	0.0522903
HSI	0.0521846
FT-SE	0.0519567
pivotals	0.0518988
"black market"	0.0517781
"rate of inflation"	0.051544
"unemployment rate"	0.0513693
"business community"	0.0512867
investor	0.0509617
"gross domestic product"	0.0506201
trader	0.0504788
earnings	0.0501597
"industrial enterprise"	0.0499818
"investor confidence"	0.0499577
LONDON	0.0499393
"exchange market"	0.049912
"crime rate"	0.0498861
"car maker"	0.0497753
manufacturing	0.0497549
consumption	0.0496957
"trade balance"	0.0496424
"shipping company"	0.0495378
BSE	0.0490212
bond	0.0487515
commodity	0.0485495
inflation	0.0483794
confidence	0.0483541
"National Australia Bank"	0.0481656
automakers	0.0481232
"South Korean won"	0.0481223
banking	0.04733
"Commonwealth Bank of Australia"	0.0471425
"business activity"	0.0470941
Telstra	0.0470608
unemployment	0.0470478
"balance of payments"	0.0469954
"Hang Seng China-Affiliated Corporations Index"	0.0469061
"New York Mercantile Exchange"	0.0468672
"mortgage rate"	0.0468166
"Hong Kong dollar"	0.0468069
"retail price"	0.0467894
equity	0.0466817
"labor market"	0.046514
"growth prospect"	0.0458754
"oil industry"	0.0458668
"Societe Generale"	0.0458338
Singapore	0.0457736
Govt	0.0456088
"investment climate"	0.0454745
SPH	0.0453726
won	0.0452286
))
(bout (desc 74325.9) (sims
fight	0.198869
rematch	0.184253
match	0.125448
showdown	0.107256
round	0.104393
matchup	0.089417
game	0.0860392
event	0.0840067
contest	0.0839913
battle	0.0836805
final	0.082135
"boxing match"	0.0820214
outbreak	0.0789999
"playoff game"	0.0786201
opener	0.0777884
race	0.0775985
tournament	0.0768324
clash	0.0751183
"home game"	0.0750865
episode	0.0728335
symptom	0.0724399
championship	0.0722302
semifinal	0.0722181
encounter	0.0720542
Holyfield	0.0711232
title	0.0702345
"Lennox Lewis"	0.0700322
crash	0.068341
incident	0.0682568
"exhibition game"	0.0677003
brawl	0.0671603
primary	0.0668765
election	0.0666388
attack	0.0665951
accident	0.0662863
competition	0.0662136
loss	0.0659081
surgery	0.0644215
series	0.0634045
appearance	0.0633763
debate	0.0628261
hearing	0.0628197
"Game @"	0.0624217
epidemic	0.0620594
playoff	0.0618882
defeat	0.0612325
quarterfinal	0.0612293
recession	0.0611718
illness	0.0610297
concert	0.0609581
meeting	0.0609551
knockout	0.0607365
shootout	0.060658
"general election"	0.0604157
victory	0.0603797
trial	0.0599465
doubleheader	0.0598576
confrontation	0.0598344
case	0.0594228
recurrence	0.0592121
"World Cup"	0.0591903
wave	0.0584846
"Super Bowl"	0.0584308
ordeal	0.0583359
finale	0.0583215
"road game"	0.0583021
marathon	0.0581434
"basketball game"	0.0580934
runoff	0.0579013
"heart attack"	0.0578396
comeback	0.0576863
Rally	0.0573324
outing	0.0572398
spell	0.0571532
struggle	0.0570262
explosion	0.0568524
duel	0.0566909
stroke	0.05647
beating	0.0564456
"economic crisis"	0.0563899
Collision	0.0563073
arrest	0.0563056
opening	0.0560243
debacle	0.0559981
outburst	0.0559236
"cup final"	0.0556514
crown	0.0554157
slump	0.0551632
Quake	0.0550154
premiere	0.0546668
session	0.054591
downturn	0.0543926
injury	0.0543669
"All-Star Game"	0.0542337
Tyson	0.0539016
infection	0.0536567
referendum	0.0535941
war	0.0534982
skirmish	0.0534729
Derby	0.0533849
auction	0.0533761
raid	0.0533481
debut	0.0533166
drought	0.0532193
selloff	0.0531227
sell-off	0.0531172
complication	0.0529569
vote	0.0529392
period	0.0525808
ring	0.0522546
flurry	0.0521215
"Evander Holyfield"	0.0520912
workout	0.0520176
earthquake	0.0519966
rash	0.0518624
collapse	0.0517299
plunge	0.0517214
eruption	0.0517031
Depression	0.0516798
riot	0.0515099
balloting	0.0514559
flare-up	0.0514285
incidence	0.0513703
caucus	0.0513322
trip	0.0512781
shooting	0.0511898
spate	0.0511309
"Oscar De La Hoya"	0.0510287
massacre	0.0509704
decision	0.0509662
demonstration	0.0507891
"big game"	0.0507235
performance	0.050686
Olympics	0.0505607
moment	0.0504531
"NBA Finals"	0.0504425
onset	0.0502474
bombing	0.0500929
killing	0.0499407
burst	0.049846
celebration	0.0498228
fighting	0.0498091
setback	0.0495582
ceremony	0.0495318
"U.S. Open"	0.0494452
announcement	0.0494092
disaster	0.0493615
blast	0.0492686
ailment	0.0492603
storm	0.0492068
proceeding	0.0491049
melee	0.0490757
"night game"	0.0489559
qualifier	0.0489444
matchups	0.0488606
trouble	0.0488505
reshuffle	0.0488422
"senate race"	0.0486481
flood	0.0485797
"Las Vegas"	0.0485425
Telecast	0.0484868
layoff	0.0483736
seizure	0.0483069
divorce	0.0483003
diagnosis	0.0482902
devaluation	0.0480853
trauma	0.0479724
speech	0.0479479
matches	0.0478792
"World Series"	0.0477811
treatment	0.0477475
concussion	0.0476665
downhill	0.0476497
turmoil	0.0476364
pneumonia	0.0475144
"heat wave"	0.0474936
surge	0.0474157
"practice session"	0.0473695
"De La Hoya"	0.0473444
slowdown	0.0472346
"civil war"	0.0471756
conflict	0.0471017
"baseball game"	0.0470923
"Mike Tyson"	0.0470303
liftoff	0.0470008
chemotherapy	0.0469598
"work stoppage"	0.0469066
operation	0.0468615
career	0.0467166
tragedy	0.046568
scrimmage	0.0464201
spasm	0.0463722
deadline	0.046372
"British Open"	0.0462866
slalom	0.0462277
date	0.0461861
crises	0.0461544
tour	0.0459853
scare	0.0458556
interview	0.0458441
))
(Bouteflika (desc 3037.4) (sims
Nazarbayev	0.171046
Stoyanov	0.1683
Mkapa	0.161452
Nateq-Nouri	0.159972
Shevardnadze	0.155883
Zeroual	0.153657
Chissano	0.153562
Ciampi	0.150314
Muluzi	0.147034
Constantinescu	0.144518
Nujoma	0.143836
Obasanjo	0.143733
Kuchma	0.142503
Wahid	0.142203
Sampaio	0.141491
Misuari	0.141192
Abubakar	0.140612
Khatami	0.139556
Luong	0.139521
Sumaye	0.139109
Jayakumar	0.138959
Lukashenko	0.138754
Moratinos	0.138686
Lahoud	0.138261
Scalfaro	0.137979
Chavalit	0.137385
Velayati	0.13652
Rifkind	0.136371
Blatter	0.136212
"Frederick Sumaye"	0.135965
Museveni	0.134995
Izetbegovic	0.13428
Abdel-Meguid	0.13338
"Helen Clark"	0.132906
Saleh	0.132592
Kumaratunga	0.132038
Kwasniewski	0.131422
Guterres	0.130514
Klestil	0.130445
Chirac	0.129859
Arens	0.129225
Azad	0.128774
Ahtisaari	0.128692
"Deve Gowda"	0.128656
al-Khatib	0.12862
Ikeda	0.128165
Akayev	0.127947
Pastrana	0.126527
"Ricardo Alarcon"	0.126522
Rafsanjani	0.126273
Komura	0.12551
Katsav	0.125439
Diouf	0.125299
Ogata	0.125164
Kagame	0.124945
Frei	0.124933
Brahimi	0.124799
Ruehe	0.124474
Mandela	0.124472
Sezer	0.123597
Poplasen	0.123304
Mubarak	0.121491
Menem	0.121263
Estrada	0.121247
Hasina	0.121017
al-Bashir	0.120969
Pustovoitenko	0.120937
Rakhmonov	0.120784
el-Ganzouri	0.120714
"Chavalit Yongchaiyudh"	0.12017
"Yoshiro Mori"	0.119492
Hrawi	0.119417
Masire	0.118898
Al-Sabah	0.118638
Cardoso	0.117904
"de Charette"	0.117812
Zuma	0.117804
Majali	0.117718
"King Abdullah Bin Hussein"	0.11762
Wolfensohn	0.117615
Moscoso	0.117483
Mahuad	0.11621
Juppe	0.116054
Rua	0.11585
Klima	0.11564
Cem	0.115576
Koirala	0.115419
Santer	0.115242
Chiluba	0.115151
Bedie	0.11488
Nebiolo	0.114714
"Lokendra Bahadur Chand"	0.114585
Obuchi	0.113935
Clerides	0.113272
Moi	0.112906
"Keizo Obuchi"	0.112804
Primakov	0.112611
Kharrazi	0.112574
Waigel	0.111533
Aliev	0.11114
"Jenny Shipley"	0.111118
Karimov	0.111068
Bashir	0.110848
Koo	0.110767
"Wlodzimierz Cimoszewicz"	0.110631
Maskhadov	0.110572
Hoffa	0.110152
Ecevit	0.109814
Erbakan	0.109626
Banzer	0.109604
Blix	0.109574
Aleman	0.109339
Vollebaek	0.109061
Vajpayee	0.108986
Guei	0.108964
Eizenstat	0.108939
"Pandeli Majko"	0.108831
Koehler	0.108637
Dodik	0.108597
"Salim Hoss"	0.108559
"President Kim Dae-jung"	0.10796
"King Sihanouk"	0.107959
"Sheikh Hasina"	0.107876
"H.D Deve Gowda"	0.107792
Weizman	0.107359
"Chuan Leekpai"	0.107256
Kyprianou	0.107083
Tarawneh	0.107055
"Prime Minister Banharn Silpa-Archa"	0.106848
Gaddafi	0.106774
Mugabe	0.106731
"Lamberto Dini"	0.106538
"Necmettin Erbakan"	0.10627
Ivanov	0.106146
Simitis	0.106095
Ganzouri	0.105269
Mbeki	0.105184
Buyoya	0.104801
"Ung Huot"	0.104626
"Jacques Chirac"	0.104556
Beye	0.104535
Narayanan	0.104488
Tung	0.104329
"Atal Bihari Vajpayee"	0.104294
Chretien	0.104155
president-elect	0.104135
Rau	0.103946
Zhirinovsky	0.103932
Ikimi	0.103833
"Goran Persson"	0.103786
"James P. Hoffa"	0.103754
Shareh	0.10362
Schuessel	0.103569
"Phan Van Khai"	0.103474
Majko	0.10343
Hashimoto	0.103429
Scharping	0.102674
"Mohammad Khatami"	0.102509
"Jordanian King Abdullah Bin Hussein"	0.102488
Granic	0.102307
"Prime Minister Kamal El-Ganzouri"	0.102071
Berisha	0.101954
"Bashkim Fino"	0.101759
Dae-jung	0.101732
Cubas	0.101628
Seleznyov	0.101589
Vasile	0.101554
Peres	0.101553
"Abidine Ben Ali"	0.101507
"Ricardo Lagos"	0.101298
"Bulent Ecevit"	0.101192
Habibie	0.101149
"Girija Prasad Koirala"	0.100975
"Suleyman Demirel"	0.100962
Zou	0.100856
Camdessus	0.100688
Juncker	0.100566
Phieu	0.100566
Maslyukov	0.10051
Duisenberg	0.100488
Putin	0.100488
al-Sahaf	0.100383
Deuba	0.100355
"Mikulas Dzurinda"	0.100322
D'Alema	0.100231
Pickering	0.100035
"Abdul Karim Kabariti"	0.0998406
"Ehud Barak"	0.0997563
Orban	0.0996116
"Rafik Hariri"	0.0995121
"Kim Yong Nam"	0.0994563
Meguid	0.0994036
"Lionel Jospin"	0.0992636
Hariri	0.099185
Khaddam	0.098848
Gujral	0.0987195
Kasoulides	0.0986258
"Ivan Kostov"	0.0983379
"Atal Behari Vajpayee"	0.098311
Rawlings	0.0982171
))
(boutique (desc 25084.4) (sims
"clothing store"	0.184141
shop	0.172663
store	0.161241
"department store"	0.156299
"art gallery"	0.151091
salon	0.142382
bookstore	0.141891
bistro	0.137568
restaurant	0.135926
"specialty store"	0.135208
"gift shop"	0.134256
eateries	0.133496
"toy store"	0.133209
"grocery store"	0.131051
cafe	0.128427
supermarket	0.124373
"retail store"	0.12007
"jewelry store"	0.115096
emporium	0.115002
deli	0.114459
drugstore	0.114193
"convenience store"	0.113149
gallery	0.113128
"hardware store"	0.112545
"shoe store"	0.112295
bakery	0.112044
"chain store"	0.111429
"coffee shop"	0.1112
pub	0.109655
mall	0.10794
"liquor store"	0.107575
"movie theater"	0.107436
nightclub	0.107197
bookshop	0.107186
showroom	0.10678
kiosk	0.104911
parlor	0.103823
hotel	0.10081
"shopping center"	0.100646
"discount store"	0.0985696
"gas station"	0.0970405
"Saks Fifth Avenue"	0.0957634
"office building"	0.0951214
"beauty salon"	0.0940761
"food shop"	0.093798
nightspots	0.0933224
"computer store"	0.093125
"shopping mall"	0.093102
outlet	0.0927797
Pharmacy	0.0924148
superstore	0.092244
delicatessen	0.0917552
"flea market"	0.0902397
grocery	0.0894723
storefront	0.0893729
arcade	0.0889152
coffeehouse	0.0881416
pizzeria	0.0880146
"service station"	0.0865818
tavern	0.0855861
condominium	0.0853531
SPA	0.0844229
teahouse	0.0841408
spas	0.083665
retailer	0.0833733
museum	0.08297
theater	0.0829165
bar	0.0822438
loft	0.0820803
"Neiman Marcus"	0.0804913
Steakhouse	0.0799436
"repair shop"	0.0796409
discounter	0.0794588
"beauty shop"	0.078943
chain	0.0785168
apartment	0.0783349
dealerships	0.0778743
"general store"	0.0774956
"tea house"	0.0767241
saloon	0.0764515
"travel agency"	0.0758363
inn	0.075715
studio	0.075643
Brasserie	0.0750782
atelier	0.0745358
"funeral home"	0.0744106
Warehouse	0.0743525
"butcher shop"	0.0741757
gym	0.074031
catalog	0.073288
"post office"	0.0732649
Casino	0.0730128
cafeteria	0.0728846
apparel	0.0714868
"amusement park"	0.0708452
designer	0.070602
"auction house"	0.0703251
"apartment building"	0.0699157
condo	0.0697667
library	0.0694649
clinic	0.0693845
Ritz-Carlton	0.0691881
"recording studio"	0.0685441
nightspot	0.0683112
motel	0.0682304
mansion	0.0678932
"beauty parlor"	0.0677481
"dance hall"	0.0677442
lounge	0.0676995
MCDONALD's	0.0676723
nursery	0.0669085
"retail chain"	0.0666105
"town house"	0.066274
florist	0.0660675
antique	0.066045
high-rise	0.0660161
booth	0.0659199
winery	0.0657152
jeweler	0.0651454
"movie house"	0.0649909
caterer	0.0647883
"theme park"	0.064773
factory	0.0645929
"Planet Hollywood"	0.0645855
dealership	0.0644802
jewelry	0.0641467
bungalow	0.0638026
"Seasons Hotel"	0.0636927
accessory	0.0633863
ballroom	0.0633096
"dry cleaner"	0.0631523
bed-and-breakfasts	0.0625653
stalls	0.0623029
Clothier	0.0622577
discotheque	0.0621932
pawnshop	0.0621276
cinema	0.0620795
"pizza parlor"	0.0619671
newsstand	0.061758
merchant	0.061694
retail	0.0616065
Marina	0.0614789
brothel	0.0614303
"employment agency"	0.0609311
collection	0.0607941
suite	0.0606961
hangout	0.0606453
garage	0.060618
disco	0.0603399
sportswear	0.0602373
"discount chain"	0.060105
"community center"	0.0598816
park	0.0598801
"exhibition hall"	0.0594481
"entertainment center"	0.0594435
grocer	0.0593142
"hotel room"	0.0591749
handbag	0.0591071
"consulting company"	0.0588763
garden	0.0586166
"Holiday Inn"	0.05847
complex	0.0583752
"gasoline station"	0.0583652
Clothing	0.0582724
"bowling alley"	0.0581772
diner	0.0578944
shopper	0.0578518
Nordstrom	0.0574564
penthouse	0.057454
resort	0.0574124
skyscraper	0.056955
townhouse	0.0567245
"law practice"	0.0565965
brownstone	0.0565019
subdivision	0.0563231
"advertising agency"	0.0563041
Macy	0.0561557
Bloomingdale's	0.0560026
"day care center"	0.05554
Williams-Sonoma	0.055384
sawmill	0.0553639
"Barnes &AMP; Noble"	0.055249
barbershop	0.0550314
duplex	0.0546934
vendor	0.0543212
shopping	0.054248
"real estate"	0.054158
brokerage	0.0539153
Saks	0.0537766
"ticket office"	0.0537318
"publishing house"	0.053617
cottage	0.0535928
lodge	0.0535563
"subway station"	0.0533484
"Burger King"	0.0530672
Wal-Mart	0.053019
synagogue	0.0529343
Kmart	0.0528578
"dining room"	0.0526502
"nursing home"	0.0525697
))
("Boutros Boutros Ghali" (desc 843.853) (sims
"Cyril Ramaphosa"	0.20551
"Economic Commission for Africa"	0.194496
"Koichi Kato"	0.186527
"Esmat Abdel Meguid"	0.183171
"Prime Minister Banharn Silpa-Archa"	0.168705
"Abdul Salam Majali"	0.162224
Meguid	0.16115
"Cesar Gaviria"	0.160085
"Economic Commission for Latin America"	0.15888
Azad	0.158229
"Salim Ahmed Salim"	0.157563
"Secretary-General Boutros Boutros-Ghali"	0.153022
"Pandeli Majko"	0.152141
"Valery Pustovoitenko"	0.150437
"Sepp Blatter"	0.150183
"Krishna Prasad Bhattarai"	0.150046
Velayati	0.149777
"Secretary General Esmat Abdul-Meguid"	0.149489
"George Robertson"	0.148743
Majali	0.143933
Dehaene	0.142329
"Economic and Social Council"	0.140687
"de Charette"	0.13671
"Jordanian King Abdullah Bin Hussein"	0.135676
"Secretary General Esmat Abdel-Meguid"	0.134977
rapporteur	0.132606
al-Sahaf	0.132409
"Prime Minister Kamal El-Ganzouri"	0.131429
Khaddam	0.130784
"Javier Solana"	0.1296
"Commission on Human Rights"	0.129147
al-Khatib	0.128726
"Victor Chernomyrdin"	0.127592
"Rafik Hariri"	0.126209
"Noboru Takeshita"	0.126065
al-Hariri	0.125616
Rifkind	0.125607
Karimov	0.125262
Ikimi	0.124966
"Secretary- General"	0.124357
Scalfaro	0.124139
Abdel-Meguid	0.123702
Stoyanov	0.123504
"Lamberto Dini"	0.12292
"Secretary General Boutros Boutros-Ghali"	0.122689
"Bashkim Fino"	0.122086
"Food and Agriculture Organization"	0.121965
"William Perry"	0.118501
Granic	0.117887
Constantinescu	0.117878
Ghali	0.117774
Cem	0.117167
Lipponen	0.117092
"Chavalit Yongchaiyudh"	0.116772
"Romano Prodi"	0.116511
"Paul Keating"	0.11643
undersecretary-general	0.116106
Shareh	0.115871
"Secretary of Commerce"	0.115538
"Paavo Lipponen"	0.115065
Diouf	0.114913
"Vo Van Kiet"	0.114887
Pangalos	0.114724
el-Ganzouri	0.114164
al-Sahhaf	0.114007
Jayakumar	0.113855
"Pascoal Mocumbi"	0.113622
"Mesut Yilmaz"	0.112895
"H.D Deve Gowda"	0.112866
"President Kim Young-sam"	0.112722
"Jenny Shipley"	0.112554
"Mahmoud Zouebi"	0.112438
"Secretary General"	0.112433
"Sher Bahadur Deuba"	0.112186
Gurirab	0.111486
"Michael Portillo"	0.111141
"Salim Hoss"	0.110448
Patasse	0.10922
"Abdul Karim Kabariti"	0.109193
Shevardnadze	0.109151
"Saudi King Fahd Ibn Abdul-Aziz"	0.108511
Kharrazi	0.107956
Dodik	0.107536
"President Lee Teng-hui"	0.107475
"Necmettin Erbakan"	0.106968
"King Juan Carlos"	0.106254
"Fatos Nano"	0.106025
Ruehe	0.105928
Pustovoitenko	0.105815
"Tomiichi Murayama"	0.10571
"Ung Huot"	0.104559
"Milos Zeman"	0.103685
Under-Secretary-General	0.103647
sub-commission	0.103445
"John Bruton"	0.103202
"Lee Hsien Loong"	0.103069
"Inder Kumar Gujral"	0.103023
cartographer	0.103001
Brundtland	0.102915
"Sergei Stepashin"	0.102832
"Jerzy Buzek"	0.10257
Bruton	0.101903
"Joint Liaison Group"	0.101643
Axworthy	0.101427
Moratinos	0.101178
"high commissioner"	0.101123
Masire	0.100979
Ikeda	0.100877
Sumaye	0.100792
"Sheikh Saad"	0.100052
"Huang Ju"	0.100022
Komura	0.0996225
"Meles Zenawi"	0.0992982
Solana	0.0992889
"Yoshiro Mori"	0.0992444
Narayanan	0.099072
Vice-Premier	0.0989765
"Phan Van Khai"	0.0987977
"Abu Mazen"	0.0987924
Mahdi	0.0984642
"Cambodian King Norodom Sihanouk"	0.0983636
Fino	0.0983298
Hrawi	0.0982531
"Jose Maria Aznar"	0.0980958
Guterres	0.0979754
Chissano	0.0972411
Rodionov	0.0971407
"Fayez Tarawneh"	0.0970037
"Lawton Chiles"	0.0968749
Salim	0.0966056
Al-Thani	0.0965086
"Li Ruihuan"	0.0963566
Brittan	0.0963155
Muoi	0.0961949
Marulanda	0.0959494
Xanana	0.0955856
"Ivan Kostov"	0.0955287
"Minister Shlomo Ben-Ami"	0.0953124
Frei	0.0950038
"Gro Harlem Brundtland"	0.0947774
"Secretary of Defense"	0.0947725
"Deve Gowda"	0.0944951
"Goh Chok Tong"	0.0943229
Juncker	0.0937163
"John Major"	0.0932869
"Prince Saud Al-Faisal"	0.0932129
Chavalit	0.0929871
Bashir	0.0922528
"King Sihanouk"	0.0918501
"Costas Simitis"	0.0916341
Prueher	0.0913201
"Shimon Peres"	0.0913001
"Mike Foster"	0.0911603
Zuma	0.0909983
Deuba	0.0908093
Klestil	0.0907981
"Lokendra Bahadur Chand"	0.0907962
"William Daley"	0.0907928
"No. @@@@"	0.0906792
"Jordanian King Hussein"	0.0905906
"Antonio Guterres"	0.0905364
"Norodom Ranariddh"	0.0903624
Kyprianou	0.0898229
"Sergei Kiriyenko"	0.0896316
Niyazov	0.0893633
undersecretary	0.0885167
Kasoulides	0.0884814
"Wlodzimierz Cimoszewicz"	0.0884402
"Commonwealth Ministerial Action Group"	0.0881073
"King Abdullah II"	0.0880782
"Fob James"	0.0880311
"Vaclav Klaus"	0.0878964
"Mikhail Kasyanov"	0.0875968
"I.K Gujral"	0.0874764
protectorate	0.0874555
Goff	0.0874549
al-Sharaa	0.0870788
"Than Shwe"	0.0867566
Majko	0.0866435
"Frederick Sumaye"	0.0866133
Kabariti	0.0865103
Nzo	0.0863493
Meles	0.0861494
"Buddy MacKay"	0.0860491
Holl	0.0856447
"Carlos Menem"	0.0853741
"Sheikh Hasina"	0.0853254
"Alija Izetbegovic"	0.0852542
"Mike Leavitt"	0.0852185
Garang	0.0848604
"Alain Juppe"	0.0847993
Ekeus	0.0847066
Gaddafi	0.084674
Sahnoun	0.0846355
"Maung Aye"	0.0845904
Phieu	0.0842294
"Louise Arbour"	0.0841882
Surin	0.0841034
"Bill Skate"	0.0840642
Santer	0.0839847
))
("Boutros Boutros-Ghali" (desc 2107.53) (sims
Ghali	0.186484
"Koichi Kato"	0.162328
Boutros-Ghali	0.162055
"Javier Solana"	0.129219
"Yoshiro Mori"	0.125908
"Rolf Ekeus"	0.123391
"Bill Lann Lee"	0.122934
"Salim Ahmed Salim"	0.116712
"Renato Ruggiero"	0.115387
"Kim Jong-pil"	0.110628
"Cesar Gaviria"	0.108481
"Richard C. Holbrooke"	0.104438
"General Agreement on Tariffs and Trade"	0.100312
"Michel Camdessus"	0.09962
"Sepp Blatter"	0.0965715
"Bora Milutinovic"	0.0932595
"Tomiichi Murayama"	0.0930256
"George Robertson"	0.0920569
"Abu Mazen"	0.0877344
"Dennis Vacco"	0.0871175
"Ray Evernham"	0.0870107
"Cao Zhi"	0.0861336
Murayama	0.0857046
"Joel Klein"	0.0846981
"Ann Richards"	0.0846965
"Yukio Hatoyama"	0.0845826
"Dan Morales"	0.0835158
"Barry R. McCaffrey"	0.0831331
"Joao Havelange"	0.0828126
"Alexander Lebed"	0.0826771
"Hans Blix"	0.0823695
"Tony Coelho"	0.0822944
Vasile	0.0821593
"Mary Robinson"	0.081442
"Lino Oviedo"	0.0814256
Chavalit	0.0811268
Patasse	0.0803481
"Boris Yeltsin"	0.0800977
"Helmut Kohl"	0.0787868
Schott	0.0783752
"Dennis Erickson"	0.078109
"Pete Wilson"	0.0755781
"Horst Koehler"	0.0754057
"Rick Neuheisel"	0.0745842
Zeroual	0.0743634
"Carlos Menem"	0.0742496
"Chen Ziying"	0.0741112
"Sergei Stepashin"	0.0733944
"M. Douglas Ivester"	0.0733186
Ekeus	0.0731349
"David Beasley"	0.0730463
"Fernando Henrique Cardoso"	0.072622
Demirel	0.0721535
"Mahmoud Abbas"	0.0714836
Bulatovic	0.07035
"James Hormel"	0.0698038
"Juan Antonio Samaranch"	0.0696571
"Wolfgang Schaeuble"	0.0694488
"Alan Greenspan"	0.0693992
"Esmat Abdel Meguid"	0.0691535
"Ricardo Alarcon"	0.0689779
Indyk	0.0686421
"Romano Prodi"	0.0684927
Muoi	0.0683034
Pfeiffer	0.068189
"Mike Moore"	0.0681794
"Xanana Gusmao"	0.0679533
"Bill Richardson"	0.0677627
"Chavalit Yongchaiyudh"	0.0674394
"Newt Gingrich"	0.0673641
"Zell Miller"	0.067137
"Wim Duisenberg"	0.0669495
Musharraf	0.0665563
"William Weld"	0.0664273
Dudayev	0.0662336
"Victor Chernomyrdin"	0.0650401
"Sergei Kiriyenko"	0.0648079
Daft	0.0646916
"Viktor Chernomyrdin"	0.0643139
"Bill Lockyer"	0.0640909
"Xiong Guangkai"	0.0638192
Wiranto	0.0634568
"Jacques Santer"	0.0634445
"Secretary-General Boutros Boutros-Ghali"	0.0634122
"Richard Butler"	0.0632175
Soeharto	0.0628169
"Implementation Force"	0.062776
"Terry Collins"	0.0626836
"Warren Christopher"	0.0626503
Coia	0.0624819
"Abdulsalam Abubakar"	0.0623253
"Abdollah Nouri"	0.0620836
Tarawneh	0.0619955
Rafsanjani	0.061347
"Barry McCaffrey"	0.0610128
"Charles LaBella"	0.0608579
"Russell Crowe"	0.0603476
"Chea Sim"	0.0599892
"Richard Blumenthal"	0.0598734
"Richard Holbrooke"	0.0598561
"Keizo Obuchi"	0.0590806
"John Major"	0.0590681
"Norodom Ranariddh"	0.0589691
Gargan	0.0589387
"Ayatollah Ruhollah Khomeini"	0.0586948
"Mo Mowlam"	0.058667
"Wang Zhongyu"	0.0584802
"Laurent Fabius"	0.05802
Meciar	0.0580138
"Anthony Lake"	0.0579539
Fujimori	0.0576021
Mori	0.0572909
"Ansumane Mane"	0.0572338
Stepashin	0.0571363
"Vladimiro Montesinos"	0.0570655
"Glenn Hoddle"	0.0569792
"Cardinal John O'Connor"	0.0568661
Masire	0.0565563
Megawati	0.056501
Bucaram	0.056486
"Dai Bingguo"	0.0564706
"Ryutaro Hashimoto"	0.0564354
Milbury	0.056434
"Deve Gowda"	0.0559657
Koch-Weser	0.0558233
"Bernard Kouchner"	0.055583
"Louise Arbour"	0.0554957
Cardoso	0.055176
"National Defense Commission"	0.055104
"Eric Holder"	0.05503
"Amnuay Virawan"	0.0549016
"Fatos Nano"	0.0548623
"Tansu Ciller"	0.0547877
Abubakar	0.0547637
"Peter Verniero"	0.0547395
"Zimbabwe African National Union-Patriotic Front"	0.0545191
"Jiang Zemin"	0.0540031
Hashimoto	0.053995
"Vladimir Meciar"	0.053887
"Kiichi Miyazawa"	0.0538406
Narayanan	0.0536754
"Ariel Sharon"	0.0536705
"Olusegun Obasanjo"	0.0536287
Azizah	0.0533575
"Margaret Thatcher"	0.053105
"South Pacific Forum"	0.0530316
"Massimo D'Alema"	0.0530181
Kilborn	0.0527611
"Jim Harrick"	0.0527408
"Benazir Bhutto"	0.0526067
Lebed	0.0525053
INTERFET	0.0522707
Xanana	0.0521159
Solana	0.052108
"Boris Fyodorov"	0.0519935
"Carl Bildt"	0.0515591
Verney	0.0515304
"Bashar Assad"	0.0515135
"Lawrence Summers"	0.0514593
"Qin Huasun"	0.0514368
"Luo Gan"	0.0513417
"Supachai Panitchpakdi"	0.0513352
Habibie	0.051298
"Pervez Musharraf"	0.0512431
"Ronnie Flanagan"	0.0511555
"Lesotho Congress"	0.0511303
"P.V Narasimha Rao"	0.0511194
"Scott Harshbarger"	0.051025
"Shimon Peres"	0.0508968
"Biljana Plavsic"	0.0508945
Naumann	0.0507447
"Vaclav Klaus"	0.0507288
"Ron Brown"	0.0506366
"State Law and Order Restoration Council"	0.0505677
"Meles Zenawi"	0.0503314
"John Howard"	0.050249
"Don Baylor"	0.0502129
"Minister Shlomo Ben-Ami"	0.0500314
"Boutros Boutros Ghali"	0.0498704
"Kenya African National Union"	0.0497914
Zhivkov	0.0497674
"Kim Jong Il"	0.0497425
"Charles Gibson"	0.0497194
NCEC	0.0495092
"Commonwealth Ministerial Action Group"	0.0495052
UNAMSIL	0.0493285
"Parti Quebecois"	0.0493263
"Faisal Husseini"	0.0493087
"Dan Lungren"	0.049302
Diouf	0.0492315
"Ramsey Clark"	0.0492213
Bashar	0.0491906
Hariri	0.0490647
"Ray Rhodes"	0.0490071
"U.N. Mission"	0.0488199
"Hans von Sponeck"	0.0488154
Salim	0.0485805
"Madeleine Albright"	0.0485235
Nebiolo	0.0484625
Boehner	0.0483164
))
(Boutros-Ghali (desc 3869.39) (sims
Ghali	0.207842
"Secretary-General Boutros Boutros-Ghali"	0.19851
Kasoulides	0.172867
"Boutros Boutros-Ghali"	0.162055
Meguid	0.157961
Stoyanov	0.156208
Rifkind	0.156169
"de Charette"	0.154896
Ikimi	0.153899
Sumaye	0.152985
Akayev	0.150672
Abdel-Meguid	0.146841
Moratinos	0.145415
Ruehe	0.14484
Guterres	0.14395
Demirel	0.141336
Jayakumar	0.137552
Velayati	0.137407
Mkapa	0.136672
Zou	0.136642
Vasile	0.136098
Nasrallah	0.135546
Granic	0.135344
Singson	0.134654
Rodionov	0.134098
Nzo	0.133748
Azad	0.132856
Camdessus	0.132772
Karimov	0.131568
Malu	0.130691
Koirala	0.130629
Santer	0.129389
Nujoma	0.128714
Chiluba	0.128332
Waigel	0.128122
Siazon	0.127217
Boueiz	0.125704
Komura	0.125577
Goh	0.125335
"Secretary General Boutros Boutros-Ghali"	0.125068
Leghari	0.124695
Clerides	0.124151
Brittan	0.123994
Constantinescu	0.123988
Nazarbayev	0.123923
Solana	0.123776
Murayama	0.123693
Wolfensohn	0.123078
Gujral	0.122296
Brahimi	0.12151
Chissano	0.119955
Shevardnadze	0.119832
Hasina	0.119813
Meles	0.119111
Phieu	0.118874
Cem	0.117937
Insulza	0.117911
Alatas	0.117742
Klima	0.117602
Menem	0.117504
Ogata	0.117433
Holl	0.117248
Gowda	0.115759
Shareh	0.115126
Aventajado	0.114788
Klestil	0.114373
Surin	0.11435
Ikeda	0.114312
Juppe	0.113678
Rafsanjani	0.113445
"Than Shwe"	0.11341
"Lee Hsien Loong"	0.112448
Muoi	0.112431
Masire	0.112237
Banharn	0.111975
Annan	0.11187
Kyprianou	0.111412
Dodik	0.111065
Muluzi	0.110549
Lipponen	0.110529
Luo	0.109329
Scharping	0.108395
Kinkel	0.108313
Scalfaro	0.108196
Chavalit	0.107608
Aziz	0.107265
Deuba	0.107242
Pangalos	0.107222
Beye	0.107173
Stroyev	0.106687
Fino	0.106432
Bulatovic	0.106427
"Secretary General Esmat Abdel-Meguid"	0.106247
"Secretary General Esmat Abdul-Meguid"	0.106243
Hrawi	0.105666
Diouf	0.105569
Frei	0.10548
Museveni	0.105418
Niyazov	0.105319
Zarb	0.104617
Aznar	0.104569
Sergeyev	0.104382
Tarawneh	0.104285
Bruton	0.104234
Axworthy	0.104039
Ruggiero	0.103964
Dini	0.103393
Kostov	0.10301
Alarcon	0.102927
Chirac	0.102904
Cardoso	0.10273
"Maung Aye"	0.102441
Seleznyov	0.101996
Kabariti	0.101699
Kumaratunga	0.101693
Peres	0.101156
Khai	0.100489
Jovanovic	0.100101
Weizman	0.0990789
Salim	0.098956
Majali	0.0987612
Sahnoun	0.0983474
Simitis	0.0982627
Sihanouk	0.0982406
Zeroual	0.098156
Prueher	0.0978726
Kharrazi	0.0975975
Orban	0.0971637
Qian	0.0970915
Hashimoto	0.097043
Herzog	0.0970379
Mordechai	0.0968765
"George Robertson"	0.0966479
Narayanan	0.0966093
Moi	0.0965994
Kwasniewski	0.0962365
Juma	0.0961248
Ivanov	0.0960404
Bellamy	0.0957302
Harmoko	0.0957066
Ciller	0.0955253
Cuomo	0.0954993
"Kofi Annan"	0.0954724
Tsang	0.0954295
Primakov	0.095387
Majko	0.0953816
Saleh	0.0952861
Pustovoitenko	0.0952025
Ganzouri	0.095164
Advani	0.0948258
Husseini	0.0946617
Luong	0.0942462
Lari	0.0939949
Ciampi	0.0938483
Sanan	0.093756
Zuma	0.0937109
Vedrine	0.0936366
Qiao	0.093366
Ivester	0.0931062
Vollebaek	0.0930495
Izetbegovic	0.0929311
Zhirinovsky	0.0928722
"Defense William Cohen"	0.0925556
Xanana	0.0925205
Eizenstat	0.0923015
Patasse	0.0919233
Daley	0.0916792
Tudjman	0.0915227
Estrada	0.0915063
Hybl	0.0913576
Pickering	0.0913499
"Glenn Hoddle"	0.0911096
Kuchma	0.0908552
al-Sahaf	0.0907614
Modise	0.0905676
Iglesias	0.0904689
Fischer	0.090435
Mubarak	0.0902861
"Khin Nyunt"	0.0901659
Indyk	0.0901292
Chernomyrdin	0.0895965
Stepashin	0.0895412
Ahtisaari	0.0893717
Chretien	0.0887957
Ramos	0.0887537
Kok	0.0886253
Villar	0.0886005
Verney	0.0885143
Persson	0.0884134
Ahern	0.0882432
Samaranch	0.0881785
"Sonia Gandhi"	0.0881025
Schuessel	0.088072
Bolger	0.0877833
Milutinovic	0.0877644
"Michel Camdessus"	0.0875603
Zeng	0.0875535
Duisenberg	0.0873943
Mbeki	0.0871413
Kono	0.0868895
))
(Bove (desc 1087.83) (sims
Nikitin	0.173222
Neulander	0.167309
Priebke	0.162023
Shayler	0.156566
Mikhailov	0.141077
"Russell Peeler"	0.140894
Papon	0.13409
Giacchetto	0.131758
LeFave	0.127145
Karbaschi	0.126463
Einhorn	0.126327
Montiel	0.122638
Baumhammers	0.121081
Faget	0.120767
Khalil	0.1163
"El Hage"	0.115791
Deri	0.113067
Lazarenko	0.112905
Kiareldeen	0.112223
Stayner	0.110936
Blackthorne	0.109781
Shulman	0.108926
Kodikian	0.108774
Gusmao	0.108614
Nasrin	0.106953
Hofer	0.106474
Lileikis	0.104748
"Abu Nidal"	0.10242
Boesak	0.102381
Gusinsky	0.101695
Kimes	0.101353
Swango	0.100041
"Maturino Resendiz"	0.0999463
Kaunda	0.0998668
Sarsour	0.0984967
Agca	0.097683
Haouari	0.0974691
"William Hague"	0.0971242
Ntakirutimana	0.0969325
Kaczynski	0.0963873
Sakic	0.0963602
Sebaggala	0.0958928
Verney	0.0942365
Faulder	0.0932894
D'Amico	0.0932535
Schaeuble	0.0931361
Chmura	0.0929525
Musa	0.0926583
Lacresha	0.0926091
"Ruiz Massieu"	0.0924212
Anand	0.0922261
Manbar	0.0919687
Ghani	0.0915347
Berenson	0.0914121
Ntuyahaga	0.0911343
McWilliams	0.0901001
Shipman	0.0899468
Siripongs	0.0892718
Elhage	0.0888078
Koznick	0.0883523
Harrer	0.0883471
leeson	0.0883154
Al-Amin	0.0880692
Markhasev	0.0880292
Jenoff	0.0875235
Ershad	0.0875174
Djindjic	0.0873646
Meskini	0.0869795
McVeigh	0.086791
Carruth	0.0866512
Krstic	0.0866371
Postol	0.0866037
Alves	0.0865166
Bakaly	0.0862916
Soliah	0.0862895
Ciampi	0.0862883
Mitnick	0.0860124
Baucus	0.0859918
Dokmanovic	0.0852344
hodgson	0.0846686
Valenzuela	0.0845931
Garza	0.0843475
Ruelas	0.0839027
Berlusconi	0.0838034
Abu-Jamal	0.0833925
Whitacre	0.0827957
Pryor	0.0825652
Marinovich	0.0824618
Molinari	0.0822406
Nateq-Nouri	0.0821989
Jelisic	0.082069
Rideau	0.0819475
"Di Canio"	0.0818735
Haney	0.0818157
Kurtz	0.0817714
"Ta Mok"	0.0815429
Gauthe	0.0813618
Hiett	0.0813569
Gravano	0.081018
"De Bruin"	0.0809901
Yoo	0.0809022
Yadav	0.0808547
Yazdi	0.0807206
Fortier	0.0806608
McGinn	0.0806359
Yastrzhembsky	0.0802345
KEVORKIAN	0.0801684
Mcbride	0.0801034
Babitsky	0.0800798
Odeh	0.0798372
Garofalo	0.0796047
"Michael Skakel"	0.0793892
Menard	0.0793277
Kimeses	0.0791655
Kerik	0.0789972
Harris-Lewis	0.0789457
Skakel	0.0788535
hale	0.0788454
Raznatovic	0.0786527
"Abdullah Ocalan"	0.0784993
Kromah	0.0784598
furrow	0.0781469
Buthelezi	0.0778384
Grossberg	0.0777288
Izetbegovic	0.0776918
Rodionov	0.0774051
Sheinbein	0.077319
Kalejs	0.0772812
Coburn	0.0772608
Goldstein	0.0771782
looper	0.0771128
Bowers	0.0770583
Karr	0.0770341
Sharpton	0.0768346
"Xanana Gusmao"	0.0767992
"Jose Ramos-Horta"	0.0767781
Bouteflika	0.0766483
Adair	0.0766206
peeler	0.0765408
Kovacevic	0.0765382
Donohue	0.0764594
Protas	0.0762971
Vasquez	0.0762724
Ocalan	0.0762329
Imperatori	0.0755817
Silverstein	0.0754568
Beckenbauer	0.0754132
Krajisnik	0.0753947
Capano	0.0751633
Camacho	0.0751257
Noboa	0.0748723
Brownlee	0.074751
Sweeting	0.0744048
Hirschfeld	0.0742639
Ibrahim	0.0742432
Villar	0.0741819
Nebiolo	0.073984
Kan	0.0738555
Haughey	0.0735206
Beazley	0.0732771
Eizenstat	0.0731022
Bhutto	0.0727152
Ackerman	0.0725599
Figueroa	0.0725498
Kwasniewski	0.0724625
Naumann	0.0724204
Chevenement	0.0724186
Jayalalitha	0.0723088
Farrakhan	0.0720587
Phelan	0.0719906
Dutchmen	0.0719895
Farrell	0.0719555
Livoti	0.0718118
"George Speight"	0.0717748
Sarid	0.0717471
Carmichael	0.0717146
Cavallo	0.0716944
Maradona	0.0715504
Gotti	0.0713984
Holl	0.0713739
Jewell	0.0711143
Mauro	0.0710902
Arizmendi	0.0710164
"David Jones"	0.070945
Sankoh	0.07086
Sharansky	0.0704161
Kazhegeldin	0.0703244
Hume	0.0702715
Kozeny	0.0702576
"Jack Kevorkian"	0.0702177
Azizah	0.0701729
Laperriere	0.0701682
Conley	0.0701197
Zarb	0.0699323
Boyle	0.0698183
Moscoso	0.069682
Walesa	0.0695496
Briscoe	0.0694521
Maher	0.0693853
Horne	0.0693631
))
(Bovespa (desc 1226.14) (sims
"CAC @@"	0.248222
DAX	0.227571
"Nikkei Stock Average"	0.219662
CAC	0.199937
"Xetra Dax"	0.199396
CAC-@@	0.1864
STI	0.186067
"FTSE @@@"	0.179835
Nikkei	0.175793
"Straits Times Industrials Index"	0.174827
"Stock Exchange of Thailand"	0.168953
"Hang Seng"	0.168599
Sensex	0.160461
FTSE	0.16024
"Karachi Stock Exchange"	0.157398
"Straits Times Index"	0.157302
"Tokyo Stock Price Index"	0.153156
IPC	0.152464
"Philippine Stock Exchange"	0.15081
"Dow Jones Industrial Average"	0.148279
BSE-@@@	0.145988
"Toronto Stock Exchange"	0.145727
"Kuwait Stock Exchange"	0.144508
industrials	0.133178
"Hang Seng Index"	0.132246
"Weighted Price Index"	0.131308
"Industrial Index"	0.127428
"Philippine Stock Exchange Index"	0.125337
"Composite Index"	0.123491
SSE	0.122285
"share price"	0.121506
"Rio Tinto"	0.121409
Composite	0.121262
"Hang Seng China-Affiliated Corporations Index"	0.117975
STOXX	0.117535
"Commonwealth Bank of Australia"	0.116817
FT-SE	0.116762
HSI	0.116292
"Shanghai Composite Index"	0.111159
"Bovespa Index"	0.109813
"producer price"	0.108464
"B share"	0.10595
sub-index	0.103959
"Commonwealth Bank"	0.101976
Westpac	0.101878
"Dow Jones"	0.101286
Nasdaq	0.0993387
"Sensitive Index"	0.0983905
MidCap	0.0977503
"SPH @@@"	0.0970174
PSE	0.0968735
"Hang Seng China Enterprises Index"	0.0964367
"National Australia Bank"	0.0963221
"Wireless Optus"	0.0925432
"ordinary shares"	0.0923928
PPI	0.0922245
"futures price"	0.0921502
SPH	0.0919674
KSE	0.0916892
DSE	0.0914815
"Fletcher Energy"	0.0893467
"News Corp"	0.088661
"S&AMP;P"	0.0878468
"Second Board Index"	0.0873842
"Tokyo Stock Exchange"	0.0873574
"blue chip"	0.0861832
"preferred shares"	0.0859476
BHP	0.0858446
Palmeiras	0.0850501
"GE Life"	0.0837445
"Creative @@"	0.0825065
SMI	0.0819156
WMC	0.0812729
"Emas Index"	0.0809442
"blue-chip stock"	0.080482
Seng	0.0799032
"Producer Price Index"	0.0797199
sharemarket	0.0794027
"price index"	0.0792797
fineness	0.0788113
"factory order"	0.0784664
barometer	0.0784359
"NASDAQ Composite Index"	0.0782057
pan-European	0.0780696
PacCent	0.0778083
RAMBUS	0.0777553
sub-indices	0.0765925
Unisys	0.0765364
Orders	0.0752802
ANZ	0.0746918
"Kuala Lumpur Stock Exchange"	0.0743018
Stocks	0.0740038
"bond price"	0.0737529
"Central Station"	0.0720655
"Jakarta Stock Exchange"	0.0719513
jc/bk	0.0718249
"Fletcher Building"	0.0711551
Bourse	0.0711232
"pork belly"	0.0710371
"Mexican peso"	0.0700064
db	0.0698896
CRA	0.069822
"pretax profit"	0.0696187
"Hutchison Whampoa"	0.0679657
bullion	0.0674824
"leading indicator"	0.0670916
AMP	0.0670289
CPI	0.0667092
"Lion Nathan"	0.0660979
"Applied Materials"	0.0659333
"vehicle sale"	0.0657634
"Fletcher Paper"	0.0652055
NYSE	0.0649918
"Brierley Investment"	0.0648878
"Singapore Press Holdings"	0.0645478
"Procter &AMP; Gamble"	0.0644543
OCBC	0.0643584
"Fernando Henrique Cardoso"	0.0632375
"small cap"	0.0627732
"Sky TV"	0.0626097
Woodside	0.0624228
twenty-six	0.0623399
"Fletcher Forest"	0.0620843
"Carter Holt Harvey"	0.0620287
palladium	0.0619053
Telstra	0.0617434
Najera	0.0612869
"truck sale"	0.0612187
"Hang Seng Bank"	0.0605965
"JDS Uniphase"	0.0604427
Haines	0.0603864
Barclays	0.0603169
scrip	0.0603115
ridership	0.059819
"market average"	0.0596529
Sissi	0.0595337
"Philippine peso"	0.05949
B-shares	0.0592057
"three schools"	0.0589839
"Exxon Mobil"	0.0586545
"retail price"	0.0583854
TELLABS	0.0583208
bellwether	0.0583184
"home sale"	0.0581269
"Royal Bank of Scotland"	0.0574752
"Hong Kong Telecom"	0.0574178
"Shanghai Stock Exchange"	0.0573381
PETROBRAS	0.0571756
"Dayton Hudson"	0.0571
"personal income"	0.0570209
"International AIDS Conference"	0.0568383
"Australian dollar"	0.0567612
"Contact Energy"	0.0567377
"net income"	0.0566601
warrant@@	0.0565543
"Rubens Barrichello"	0.0562729
"HSBC Holdings"	0.0558605
zloty	0.0557519
Tankan	0.0556659
Immunex	0.0555
"United Technologies"	0.0552979
"Bombay Stock Exchange"	0.0552909
"Treasury bond"	0.0551628
AMEX	0.0548202
PLDT	0.054759
CSE	0.0542208
Gama	0.0542145
Knievel	0.0538346
"net profit"	0.0537541
second-quarter	0.0535908
"Air New Zealand"	0.0535618
"retail price index"	0.0531809
"over @@@ points"	0.0531432
"American Stock Exchange"	0.0530767
Medtronic	0.0529314
"British Telecommunications"	0.0528343
"Hewlett Packard"	0.0524925
"eight cents"	0.0520673
"Dell Computer"	0.0520573
SIA	0.0520504
Grosjean	0.0517476
"UAL Corp."	0.0517408
UAL	0.0514934
"Kenyan shilling"	0.0514884
rupiah	0.0513044
"British pound"	0.051064
diffusion	0.0509824
"Advanced Micro"	0.0508107
"City Development"	0.0502291
"Gap Inc."	0.0501972
"two cents"	0.0500984
"Red Hat"	0.0500718
"Canadian dollar"	0.0499077
"Red Star"	0.0498102
"New Zealand dollar"	0.0496719
"Atlantic Richfield"	0.0493072
"Auckland Airport"	0.0487708
"Waste Management"	0.0487289
"Chase Manhattan"	0.048612
"debt problem"	0.0484238
))
("Bovespa Index" (desc 1668.73) (sims
"Straits Times Index"	0.219236
"Weighted Price Index"	0.187782
DAX	0.171167
IPC	0.169448
"Straits Times Industrials Index"	0.167834
"Composite Index"	0.159903
"Philippine Stock Exchange Index"	0.147214
"Hang Seng Index"	0.142692
"Hang Seng China-Affiliated Corporations Index"	0.140826
CAC-@@	0.132027
"Hang Seng China Enterprises Index"	0.128286
sub-index	0.127407
Nikkei	0.122221
STI	0.117545
"Nikkei Stock Average"	0.115505
"Hang Seng"	0.111822
Bovespa	0.109813
"CAC @@"	0.109682
industrials	0.109289
CAC	0.105957
HSI	0.102932
BHP	0.101994
"Dow Jones Industrial Average"	0.10056
Sensex	0.099661
"Thomas Stangassinger"	0.0963888
"bank rate"	0.0953922
"Xetra Dax"	0.0927795
"Renate Goetschl"	0.0907524
"Martin Schmitt"	0.0900315
"FTSE @@@"	0.0878846
blue-chips	0.0865942
caseloads	0.0859166
"Producer Price Index"	0.0854714
"National Australia Bank"	0.084558
"Commonwealth Bank"	0.0821107
"Industrial Index"	0.0817572
Schmitt	0.0785825
Westpac	0.0785226
"Michael Von Gruenigen"	0.078291
"Isolde Kostner"	0.0765514
"retail price index"	0.0754477
"Max Biaggi"	0.0751605
"Commonwealth Bank of Australia"	0.0741784
"Jeremy Wotherspoon"	0.0734496
"Tokyo Stock Price Index"	0.0730635
"Rio Tinto"	0.0727976
Aoki	0.0725274
"aircraft order"	0.0725259
bullion	0.0724219
"share price"	0.0721421
"Hong Kong Telecom"	0.0716225
"Shanghai Composite Index"	0.0713821
"producer price"	0.0710079
"pretax profit"	0.0701695
"factory order"	0.069316
"voting age"	0.069312
"Martina Ertl"	0.0686469
"Philippine peso"	0.0685356
ANZ	0.0678444
"Emas Index"	0.0665627
"blue-chip stock"	0.0657917
"truck sale"	0.0655426
"Second Board Index"	0.0654258
"News Corp"	0.0651751
"Fletcher Forest"	0.0648963
"market average"	0.063349
"Stock Exchange of Thailand"	0.0632666
"Michael Doohan"	0.0629061
"Deborah Compagnoni"	0.0625625
Orders	0.0623877
"Fletcher Energy"	0.0606841
"Lasse Kjus"	0.0604045
"building permit"	0.0601001
Unisys	0.0600407
sharemarket	0.0598323
sub-indices	0.0597104
"goose bumps"	0.0596359
AMP	0.0592118
"wholesale price index"	0.0591088
won	0.0590682
FT-SE	0.0589554
fineness	0.0589467
"GE Life"	0.0583679
scrip	0.0580261
"Michele Bartoli"	0.0579841
"Hutchison Whampoa"	0.0578827
"bond price"	0.0576323
"price index"	0.0575751
Doohan	0.0575562
homeownership	0.0573265
FTSE	0.0572192
"leading indicator"	0.0567476
"water table"	0.056473
"NASDAQ Composite Index"	0.0563839
Composite	0.0562765
"time deposit"	0.0562131
"ordinary shares"	0.0561804
Zabel	0.0560436
"City Development"	0.0559366
WMC	0.0554823
STOXX	0.0553746
"vehicle sale"	0.0553115
"Anita Wachter"	0.0546163
"Bjarte Engen Vik"	0.0544235
"Carter Holt Harvey"	0.0540971
"Johan Museeuw"	0.0540445
"key rate"	0.0538134
"Katja Seizinger"	0.0532765
"Micron Technology"	0.0527964
"Brierley Investment"	0.0525514
"elephant population"	0.0525253
Seizinger	0.0523678
"national income"	0.0523385
"Gianni Romme"	0.0521457
"HSBC Holdings"	0.0515028
Totalfina	0.0513954
"home sale"	0.0513843
"futures price"	0.051021
leu	0.0509474
"consumer price index"	0.0509155
"Poul-Erik Hoyer-Larsen"	0.0509069
PacCent	0.0507243
"fertility rate"	0.0505975
"net profit"	0.0504074
"Kenyan shilling"	0.0502108
indices	0.0500834
RAMBUS	0.0499734
"Wang Yifu"	0.0497304
"South Korean won"	0.0493835
"Rintje Ritsma"	0.0492376
BSE-@@@	0.0490743
"Export Processing Zones"	0.0489825
CPI	0.0488172
"Brierley Investments"	0.0486654
"Kjetil Andre Aamodt"	0.048629
"Karachi Stock Exchange"	0.0485905
"body temperature"	0.0485107
"Wireless Optus"	0.0485043
capitalisation	0.0484499
N.Z	0.0483344
ridership	0.0481957
"JDS Uniphase"	0.0480819
"SPH @@@"	0.048048
ODA	0.0480125
"Picabo Street"	0.0477823
birthrate	0.0477731
SPH	0.0477297
Maier	0.0476253
zloty	0.0475642
"heart rate"	0.0474895
chains	0.0472869
"preferred shares"	0.0472712
"Fletcher Building"	0.0472389
"Jakarta Stock Exchange"	0.046842
NPLs	0.0466996
"pork belly"	0.0466972
"Mexican peso"	0.0466878
"precious metal"	0.0463032
Ertl	0.0458957
"Applied Materials"	0.0457643
sucre	0.0457299
caseload	0.0456978
interbank	0.0456624
Lampkin	0.0455856
"Lion Nathan"	0.0453605
added-value	0.0453078
escrow	0.0452966
"gas price"	0.0452067
"pop fly"	0.0450436
Mini-bus	0.0450153
gavel	0.0449496
joblessness	0.0448886
Telstra	0.0443434
"export sale"	0.0441261
"Empire State"	0.0441241
"F&AMP;N"	0.0438019
"Zimbabwean dollar"	0.0436745
"turnover rate"	0.043376
occupancy	0.0433383
"Sky TV"	0.0433075
PSE	0.0432847
"Creative @@"	0.0432376
"noise level"	0.0428395
"Dayton Hudson"	0.0425146
"B share"	0.0423656
"Hang Seng Bank"	0.0420564
"personal income"	0.0419955
Pacificare	0.0418399
"Canadian dollar"	0.0417901
raindrop	0.0417358
"non-performing loans"	0.0414666
fast-track	0.0414435
"Eli Lilly"	0.0413994
Zanardi	0.0413501
"Royal Bank of Scotland"	0.0410858
"Official Development Assistance"	0.0410448
"Dow Jones"	0.0407659
"technology issue"	0.0407593
"New Zealand dollar"	0.0407422
"white line"	0.0404773
))
(bow (desc 26213.3) (sims
ribbon	0.0912276
machete	0.0707221
spear	0.0694722
hull	0.0664054
sword	0.0655495
knife	0.0654077
arrow	0.0624909
scarf	0.0623633
rope	0.0579959
streamer	0.0577688
bead	0.0575703
hat	0.0561472
ornament	0.0556428
ax	0.0554371
shotgun	0.0550808
feather	0.0544867
rifle	0.0544505
pistol	0.0544261
helmet	0.0542407
mast	0.0540131
skirt	0.053662
nod	0.0529875
bandanna	0.0526538
dagger	0.0526473
strap	0.0526312
"bow tie"	0.0523088
revolver	0.0520102
deck	0.0519628
crewmen	0.0513907
flower	0.0510572
balloon	0.0506346
shawl	0.0503914
garland	0.0502237
rod	0.0495622
shoe	0.0487646
apron	0.0487221
shirt	0.0486956
cloth	0.0481336
"automatic rifle"	0.0479522
cord	0.0476791
slingshot	0.047527
jacket	0.0467771
bayonet	0.0466294
hulk	0.0464933
string	0.0461633
hair	0.0460434
stern	0.0459398
sweater	0.0456204
flag	0.0451427
towel	0.0447788
shovel	0.0447542
sock	0.0445869
wig	0.0445116
"rubber band"	0.0444946
frame	0.0441781
bag	0.0440436
wreath	0.0436774
nose	0.0435796
broom	0.0433025
Grenade	0.0430978
braid	0.0429461
tank	0.0427148
button	0.0426424
"baseball bat"	0.0423359
banner	0.0419868
tail	0.0418608
stripe	0.0418532
noose	0.041759
coat	0.0417083
fabric	0.0415695
slipper	0.0412017
handgun	0.0410386
glove	0.0409793
"machine gun"	0.0409232
propeller	0.0408902
robe	0.0407579
sinking	0.0407147
knot	0.0406396
"cowboy hat"	0.0406303
blanket	0.0404436
sticker	0.0404027
bunting	0.040389
mirror	0.0400711
boot	0.0400586
satin	0.040046
mattress	0.0400294
))
("bow tie" (desc 4382.5) (sims
"cowboy hat"	0.197259
"straw hat"	0.180889
bandanna	0.171612
"cowboy boot"	0.160284
necktie	0.154836
fedora	0.153183
waistcoat	0.151968
"bowler hat"	0.144678
"top hat"	0.143406
"felt hat"	0.142454
suspender	0.141044
vest	0.136271
loafer	0.135291
trouser	0.134302
bandana	0.133476
beret	0.133201
scarf	0.131292
"pants suit"	0.128947
sunglasses	0.127683
"leather jacket"	0.126084
pullover	0.12427
sweatshirt	0.123805
"business suit"	0.123199
parka	0.123097
windbreaker	0.121983
handkerchief	0.120964
goatee	0.120522
knickers	0.120333
mustache	0.120262
miniskirt	0.119074
slack	0.116207
coverall	0.11615
jean	0.116021
khaki	0.115291
shirt	0.11477
"baseball cap"	0.114549
turtleneck	0.114413
"evening gown"	0.114275
pant	0.114213
"dark glasses"	0.113966
tunic	0.11386
hat	0.113843
bustier	0.113799
overcoat	0.113517
cardigan	0.113499
smock	0.113145
"sports jacket"	0.111948
"polo shirt"	0.111883
bluejeans	0.111346
blouse	0.110684
Poncho	0.110173
headband	0.110045
wig	0.109921
"black tie"	0.108173
ponytail	0.107483
skullcap	0.107071
corduroy	0.10683
"ski mask"	0.106621
sneaker	0.106144
"stiletto heel"	0.105637
skirt	0.105294
tights	0.104356
loincloth	0.104264
moustache	0.103427
"boxing glove"	0.102899
yarmulke	0.10285
"hard hat"	0.102708
sweater	0.102175
"blue jean"	0.102028
"feather boa"	0.101861
armband	0.101647
"rubber boot"	0.101592
eyeglass	0.101031
"sport shirt"	0.100951
"dress shirt"	0.100867
ascot	0.100766
Beard	0.100532
slipper	0.100387
dreadlocks	0.100374
jumpsuit	0.100125
"hot pants"	0.0988064
jacket	0.0987847
raincoat	0.0987254
miniskirts	0.0985542
"fur coat"	0.0984374
collar	0.097946
shawl	0.0969983
bodice	0.0960391
T-shirt	0.0945307
"sweat pants"	0.0925405
Bonnet	0.0923855
Pantsuits	0.0918096
"cocktail dress"	0.0916412
caftan	0.0915139
"trench coat"	0.0913793
coat	0.0913163
sock	0.0912437
robe	0.0879527
pantsuit	0.0874134
"evening dress"	0.0871578
bellbottoms	0.0871117
turban	0.0867368
blazer	0.0864924
"tennis shoe"	0.0863396
boot	0.08621
sandal	0.0861252
lipstick	0.0858174
vestment	0.085051
earring	0.0847238
"neck brace"	0.0846883
Afro	0.0843068
pantyhose	0.0838227
sleeve	0.0825559
"name tag"	0.0823797
sideburn	0.0823104
headdress	0.0821515
"ball gown"	0.0817337
Sari	0.0813303
apron	0.0810576
"nose ring"	0.0803794
"military uniform"	0.0801392
undershirt	0.0799361
"contact lense"	0.0795569
halter	0.0793607
visor	0.0792379
hairdo	0.0791355
Chino	0.0788915
"bathing suit"	0.0786212
sarong	0.0785052
camisole	0.0783806
haircut	0.0782479
necklace	0.0774824
lapel	0.0774691
toupee	0.0769434
legging	0.0767129
cuff	0.0765711
handbag	0.0765115
kilt	0.0763517
headgear	0.0753587
wristband	0.0752144
"body armor"	0.0751428
tuxedo	0.0749916
underwear	0.0748112
woolen	0.074614
corset	0.0739449
"belt buckle"	0.0736689
helmet	0.0733638
gown	0.0733251
bathrobe	0.073271
mitten	0.0732195
pigtail	0.0730871
pajama	0.0728421
duster	0.0722653
Sash	0.0720666
sequin	0.0714038
"face mask"	0.0713406
bra	0.0711754
pajamas	0.0710612
braid	0.070998
"dress uniform"	0.0702258
grin	0.0701275
"Jeep Cherokee"	0.0700173
leotards	0.0700006
cloak	0.0693392
goggles	0.0691954
"Lincoln Town Car"	0.069018
nightgown	0.0689454
bracelet	0.0687216
plaid	0.068705
cleat	0.0686466
kimono	0.0686205
tablecloth	0.0685661
capris	0.0682739
S-@@	0.0673797
slicker	0.0672888
pompadour	0.0671171
"crew cut"	0.0669385
stripe	0.0668607
whisker	0.0666721
"bulletproof vest"	0.0664485
"shoulder pad"	0.0663539
ruffle	0.0661546
bikini	0.0660648
garb	0.0657027
"nail polish"	0.0656935
Cape	0.0656193
"mink coat"	0.0654366
STETSON	0.0652711
glove	0.0651182
"life vest"	0.065074
"life jacket"	0.0649202
hairstyle	0.0649184
taffeta	0.0647926
"polka dot"	0.0645456
Speedo	0.0644945
jersey	0.0641969
curler	0.0641693
knapsack	0.0639736
choker	0.0636915
tiara	0.0632336
))
(Bowden (desc 9339.67) (sims
Harrick	0.126298
Gailey	0.121126
Fassel	0.119118
Solich	0.117427
Ponciano	0.116581
Sampson	0.113101
Slocum	0.113052
Belichick	0.112988
Monson	0.112778
Donnan	0.111738
Scioscia	0.11058
DiCicco	0.109553
"Bobby Bowden"	0.109503
Paterno	0.109316
Hackett	0.108379
Schmid	0.108313
Jarvis	0.108092
Krzyzewski	0.106622
Holmgren	0.104497
Spurrier	0.103641
Holtz	0.102606
Parcells	0.102503
Gullikson	0.102325
Crenshaw	0.100321
Tomey	0.0974792
Carroll	0.0971741
"Van Gundy"	0.0970796
Cremins	0.0964369
Fulmer	0.0958789
Pitino	0.0949556
Milutinovic	0.0946419
Talebi	0.0942547
Riley	0.093748
Shanahan	0.0929114
Walsh	0.0916594
Tobin	0.0915569
Cowens	0.0911569
Ainge	0.0911223
Osborne	0.0907486
Lavin	0.089867
Torre	0.0896377
Snyder	0.0894982
Tomjanovich	0.0888443
Neuheisel	0.0886881
Vermeil	0.0878114
"Pete Carroll"	0.087655
Tuberville	0.0875885
Daley	0.0875495
Piniella	0.0874126
Wannstedt	0.0870644
Lasorda	0.0861835
O'Brien	0.0861764
Evans	0.0860124
Dierker	0.0855286
Ditka	0.0843832
Weinke	0.084279
Calhoun	0.0840923
Bibby	0.0837722
"La Russa"	0.0831251
Oates	0.0827653
Martz	0.0826464
Richards	0.0825594
Schottenheimer	0.0822786
Reeves	0.0821097
Quinn	0.0820799
Bowman	0.0820074
BENSON	0.0819565
Westphal	0.0817982
"Jim Harrick"	0.0815268
Campo	0.0808579
"Dave Campo"	0.0806524
Earnhardt	0.080265
fisher	0.0802471
Groh	0.0800589
Steele	0.0800579
Zimmer	0.0797635
Polian	0.0797389
McKeon	0.0797087
Azizah	0.0796919
DONOVAN	0.0796632
"Chan Gailey"	0.0796511
Passarella	0.0795196
beamer	0.0794315
Haskins	0.0794245
Leyland	0.0794038
"Rick Pitino"	0.079343
Billick	0.079293
Olson	0.0792628
Barnett	0.0791883
Camacho	0.0789182
Showalter	0.0788404
Cashman	0.0786448
Donahue	0.0786433
Whipple	0.0785279
Hunsicker	0.0784393
Mariucci	0.0784342
Labonte	0.0782419
Kearin	0.0781691
nance	0.0780183
McGinnis	0.0780028
Waddell	0.077889
Franchione	0.0778226
Rambis	0.0777327
Howe	0.0776204
Keady	0.0773804
Manuel	0.077241
Sheppard	0.0768436
Calipari	0.0768346
"Pat Burns"	0.0768123
Landry	0.0767026
Schmidt	0.0762863
Flores	0.0761949
Hoffman	0.0761826
Zambrano	0.0759378
Richardson	0.0758554
Greenberg	0.0757907
Burke	0.0756243
Melvin	0.075414
Ozawa	0.0752209
Johnson	0.0751311
Casserly	0.0751138
"Bill Belichick"	0.0748684
Olsen	0.0747024
hodgson	0.0746638
Lockhart	0.0746287
Gauthier	0.074367
Arias	0.0743247
Sherrill	0.0742832
Brooks	0.07416
Meissner	0.0740103
Robinson	0.0738795
Elliott	0.0737038
Ferguson	0.0736906
Grossman	0.0736371
Rahal	0.0736104
Erickson	0.0732794
Nelson	0.0732672
Macdonald	0.0731912
Malone	0.0727968
Guthridge	0.0727715
Atwater	0.0726136
Finkel	0.0725851
Brister	0.0725761
Fitzgerald	0.0725757
Bobby	0.0725523
Vogts	0.0724058
Phillips	0.072299
Milbury	0.0722833
Steinbrenner	0.072204
Berger	0.0722018
Ripken	0.0721867
Sahadi	0.0721419
Colangelo	0.0718657
Solis	0.0718593
Jackson	0.0718
Burns	0.0717612
Chung	0.0717256
McCurry	0.0716761
Stewart	0.0716702
Hitchcock	0.0715497
Eubanks	0.0713438
"Mike Holmgren"	0.0713037
Levin	0.0712864
Gooden	0.0712491
Unser	0.0711383
Lamont	0.0710346
"Bill Parcells"	0.0708323
Henson	0.0707496
Siegel	0.0707409
Toledo	0.0706683
Ayala	0.0706525
Reese	0.0706457
Gretzky	0.0705293
Nicklaus	0.0704665
Troussier	0.0702569
Hoddle	0.0701249
Kissinger	0.0701134
Hartsburg	0.0701004
Wolfson	0.0700866
Kerr	0.0700432
Logan	0.0698694
"Scotty Bowman"	0.0697886
Cohen	0.0697764
Berra	0.0697555
Ganassi	0.0697496
WARRICK	0.0697379
Owens	0.0696942
Arum	0.0696316
"Rich Brooks"	0.069427
Romanowski	0.0693015
Gillespie	0.0692977
Caddell	0.0692083
Hauser	0.0691575
Alford	0.0690643
O'Malley	0.0688591
Popovich	0.068846
"Tim Floyd"	0.0687428
Palmer	0.0687387
Gillick	0.0686561
"Lou Holtz"	0.0686426
))
(Bowe (desc 3657.11) (sims
"Riddick Bowe"	0.207495
"George Foreman"	0.145133
"Axel Schulz"	0.141791
"Lennox Lewis"	0.132486
"Mike Tyson"	0.130395
Holyfield	0.130146
"Michael Moorer"	0.129412
"Evander Holyfield"	0.128585
Moorer	0.120405
"Julio Cesar Chavez"	0.118594
"Larry Holmes"	0.116735
Sweeting	0.114424
Tomba	0.109708
"Oliver McCall"	0.108917
Kagalovsky	0.108394
"Oscar De La Hoya"	0.103616
Soliah	0.103081
"Sugar Ray Leonard"	0.100101
Botha	0.0980278
Quartey	0.0976994
Akinwande	0.0962447
Tyson	0.0957
"Oba Carr"	0.0956272
Tapia	0.0955467
Swango	0.0938744
Ali	0.0938242
Ruelas	0.0937864
Hagen	0.092905
"Henry Akinwande"	0.0924134
"Francois Botha"	0.0920541
"Roberto Duran"	0.0914804
"Sonny Liston"	0.0914239
Lawler	0.0905066
Evander	0.0891514
Neulander	0.0878669
Schulz	0.0876682
"Frank Bruno"	0.087407
Oakley	0.0873521
"Andrew Golota"	0.0872928
"Ike Quartey"	0.0868611
"Pernell Whitaker"	0.0852366
Witherspoon	0.0847356
Hiett	0.0840635
"Buster Douglas"	0.0836964
Nicol	0.0834666
Huber	0.0833508
Horne	0.0830847
"El Hage"	0.0828962
Kennelly	0.0819182
Salemme	0.0817889
Gatti	0.0815858
Harding	0.0810818
"Lou Savarese"	0.0810731
Mayweather	0.0803344
Gotti	0.0802065
"Orlin Norris"	0.0801648
Pirro	0.0795454
Carruth	0.0793537
Golota	0.079249
"Michael Skakel"	0.0792402
Giacchetto	0.0788454
"Joe Frazier"	0.0774077
Fagan	0.0773387
"Shannon Briggs"	0.0770729
Duran	0.0766757
Savon	0.0763044
Fortier	0.0756644
Kehoe	0.0756215
Hearns	0.0751883
LeFave	0.0751052
"American Chanda Rubin"	0.0749258
Soto	0.0748581
Sheinbein	0.0746541
"De La Hoya"	0.0744652
Norris	0.0742428
"Russell Peeler"	0.0741919
Arbour	0.0741165
Grossberg	0.0732165
Coolio	0.0729701
Trevi	0.072968
Sharma	0.072965
Hamid	0.0722952
Savarese	0.0722247
Lennox	0.071918
Whitaker	0.0718102
Kurtz	0.0715649
Webdale	0.071423
Grasso	0.0713716
Kiefer	0.0708408
Ashrawi	0.0706675
Schott	0.0701736
Nikitin	0.0699888
Barrionuevo	0.0699833
"Vaughn Bean"	0.0693059
Mantilla	0.0692181
"Jennifer Capriati"	0.0691303
foreman	0.0691022
Mullen	0.0689707
Meskini	0.068941
DONOVAN	0.0688007
"Kostya Tszyu"	0.0687105
Whitacre	0.0686591
Campas	0.0686029
Vargas	0.0685848
Frazier	0.0683004
Garofalo	0.0681647
Briggs	0.0677713
Testud	0.0677509
Villeneuve	0.0676581
Karpov	0.0676189
Shulman	0.0671997
Sorensen	0.0669797
Baumhammers	0.0664647
Ayala	0.0662785
Romanowski	0.0662547
Irvan	0.0662025
Whaley	0.0661587
"Earnhardt Jr."	0.0661247
Camacho	0.0661173
"Paulie Ayala"	0.0659478
Halard-Decugis	0.0655111
Slatkin	0.0653517
Ferreira	0.0652361
Boldon	0.0649294
Doyle	0.0646551
McDaniel	0.0645543
Safin	0.0644023
Brazile	0.0643709
Karr	0.0642554
Jenoff	0.0640509
Noe	0.0640472
Mason	0.0640332
Patterson	0.063962
"Felix Trinidad"	0.0639026
gamecock	0.0637142
Taufik	0.0636744
"David Reid"	0.0636439
Goossen	0.0635909
Madden	0.0635882
Kasparov	0.0633022
Edberg	0.0632571
Barad	0.0630125
Dixon	0.0629408
Ruiz	0.0629166
Chang	0.062897
Abram	0.0628255
"Johnny Tapia"	0.062721
Sautin	0.0626489
Mathews	0.0625113
Waltrip	0.0624757
Markovic	0.0624413
McGinn	0.0623927
Fasano	0.0623485
Bhutto	0.0623455
Pape	0.0620044
Popov	0.0618581
Fiedler	0.0617853
Maradona	0.061716
Briscoe	0.0615743
Vogel	0.06148
Stoltenberg	0.0613852
Ntuyahaga	0.061375
Moseley-Braun	0.0613075
Lamont	0.0612475
Hartman	0.0611753
Kaczynski	0.061161
"Muhammad Ali"	0.0611434
Fordice	0.0611175
Ntakirutimana	0.0610658
Shayler	0.0609884
Bessette	0.0608313
Soriano	0.0608161
Trie	0.0606182
Egan	0.0605626
Shriver	0.0605553
"Russell Henderson"	0.0605055
Hanley	0.0601419
Kelso	0.0600581
Dwyer	0.0599974
Capel	0.0599426
Valenzuela	0.0598837
Gonzales	0.0598742
Berasategui	0.0597531
Elhage	0.0597423
Oliveira	0.0596909
Schwarz	0.0596878
Hsia	0.0596121
Kwan	0.0595332
Kurth	0.0594419
Blackthorne	0.0594325
Cruz	0.0593801
Bruguera	0.0593635
Dunham	0.0593384
Barton	0.0593233
Priebke	0.0593054
Foley	0.0592387
COYNE	0.0590198
Skakel	0.0588967
Boyle	0.0587268
Olson	0.058706
))
(bowel (desc 9334.9) (sims
bladder	0.133952
"digestive tract"	0.133187
colon	0.12438
intestine	0.115184
lung	0.112434
sinus	0.104938
prostate	0.100737
esophagus	0.100046
kidney	0.0968003
pancreas	0.0967659
uterus	0.0959447
ovary	0.0932597
"coronary artery"	0.0915083
gallbladder	0.0899596
"digestive system"	0.087412
larynx	0.0856019
cervix	0.084145
stomach	0.0835529
liver	0.0769245
"large intestine"	0.0762612
spleen	0.0719654
"nervous system"	0.0716916
brain	0.070846
"central nervous system"	0.0706747
"blood vessel"	0.0706236
airway	0.0692076
rectum	0.0689912
"spinal cord"	0.0661511
"inner ear"	0.0654913
"vocal cord"	0.0648013
"heart muscle"	0.0647378
"heart valve"	0.0644566
retina	0.0609858
nerve	0.0604025
artery	0.0593278
tract	0.0590491
"brain stem"	0.0568943
"lymph node"	0.0566913
cavern	0.0561304
"bone marrow"	0.0559657
gland	0.0550079
basement	0.0548992
abdomen	0.0535671
breast	0.0529907
cellar	0.0528854
tissue	0.0520421
"achilles tendon"	0.0510114
vagina	0.0506446
"back room"	0.0490841
throat	0.0475646
eyelid	0.0465335
maelstrom	0.0460016
spine	0.0459529
hippocampus	0.0458391
vestibule	0.0443878
foyer	0.0443214
reflux	0.0442179
tendon	0.0440991
"connective tissue"	0.0440956
hallway	0.0440749
"upper deck"	0.0427947
cartilage	0.0427137
testicle	0.0424673
"lung cancer"	0.042269
"one section"	0.0421111
attic	0.0420111
sac	0.0414739
"sexual desire"	0.0413036
belly	0.041067
"engine room"	0.0408155
hernia	0.0403801
duct	0.0402758
))
(Bowen (desc 3315.2) (sims
Meissner	0.129062
Dowd	0.111979
Mandelson	0.109626
Kurth	0.105542
Zuckerman	0.103556
Carollo	0.103529
Molinari	0.103107
Markovic	0.101859
Prewitt	0.0993508
Kyl	0.0989895
Hybl	0.0984107
Farber	0.0981489
Gullikson	0.0972404
Pearce	0.0967638
Grossman	0.0953292
Sheehy	0.0928923
Kenyon	0.0924569
Rutherford	0.0910771
Jensen	0.0894949
Waxman	0.0889937
Rivlin	0.0887443
Weil	0.0886042
Joklik	0.0885433
Andreychuk	0.0885245
Koop	0.0883597
Nazarbayev	0.0882339
Wiggins	0.0874194
Zuma	0.0873204
Fleischer	0.0871562
Ackerman	0.0869274
Geiger	0.0868011
Brazile	0.0862381
Ebersol	0.0861587
Podesta	0.0857658
Arens	0.0854779
Shapiro	0.0853604
Sather	0.0852682
McGrady	0.085071
Hanley	0.084902
Rosenthal	0.084698
Passarella	0.084509
Dewine	0.0841354
Wenger	0.0841249
Kessler	0.0840296
Doggett	0.0838883
Skiles	0.0837998
Spano	0.0837717
McCurry	0.0836517
Caddell	0.083604
Sorensen	0.0833372
Benedict	0.083334
Rothenberg	0.0829544
O'Connell	0.0825278
Brundtland	0.0824575
Jaffe	0.0819169
Goldin	0.0818838
Hunsicker	0.0817973
Donohue	0.0816763
Naumann	0.0814841
Leahy	0.0814667
"administration official"	0.0813411
Carmichael	0.0812611
Mahoney	0.0812601
Schmid	0.0809092
Advani	0.0806276
Piot	0.0804426
Godfrey	0.080328
Ruehe	0.0802629
Jobe	0.080211
Hess	0.0802026
Shamshad	0.0797302
Lockyer	0.0797203
Berman	0.0796912
Feldman	0.0796831
Kahn	0.0796824
Yoon	0.0795823
Barshefsky	0.0794738
Brock	0.0788086
Vogel	0.0781878
Meyers	0.0779638
Nilsson	0.0778184
Finneran	0.0777009
Blatter	0.0774711
Insulza	0.0773375
Copeland	0.0772851
Keegan	0.0772697
Gossage	0.0771789
Rubenstein	0.0771343
Kaye	0.0770676
Newhouse	0.0770646
Wolfson	0.0767724
Finkel	0.0766369
McCormick	0.0765734
Bettman	0.076513
Cashman	0.076497
Freedman	0.0762163
Eizenstat	0.0761086
Sassa	0.0758532
Moakley	0.0757466
McDonnell	0.0755976
Patten	0.0755537
Brenner	0.075431
Lundberg	0.0752754
Lau	0.0752566
Levin	0.0752259
Bisek	0.0751661
Rubinstein	0.0751244
Lowry	0.0751181
Velayati	0.0747204
Arum	0.0746536
Briscoe	0.0745898
Riordan	0.0745002
Manley	0.0744686
Farrell	0.0744128
Blum	0.0743245
Reilly	0.0743124
Wheatley	0.0742133
Druckenmiller	0.0741443
Engelberg	0.0740817
Baucus	0.0740438
Ellis	0.0738829
Cleary	0.0737888
Townsend	0.0737606
wheeler	0.073728
Romanowski	0.0737233
Chissano	0.0737231
Grunwald	0.0736981
Duffy	0.0736947
Sykes	0.0736626
Brownback	0.0736267
Browne	0.0735938
Cowan	0.0734858
Paxon	0.0734724
Dunham	0.073469
Andrews	0.0734575
Hakim	0.0734373
Siegel	0.0733961
Mann	0.0732985
Ainge	0.0729855
Garrity	0.0727989
Jacquet	0.0727543
Jarvis	0.0727237
Leach	0.072533
Goossen	0.0724017
Fay	0.0723671
Hickman	0.0723664
D'Alessandro	0.0721691
Gillespie	0.0721648
Snowe	0.0721471
Kurtz	0.07214
Scruggs	0.0721222
Silverstein	0.0720139
Rudman	0.0719977
Difrancesco	0.0719746
Michaels	0.0719325
Ciampi	0.0718989
Shays	0.0718646
Ovitz	0.0717495
Hoddle	0.0716962
Gaffney	0.0715919
Tran	0.0715273
Oliveira	0.0715256
Wilhelm	0.0714049
Azizah	0.0713487
Peters	0.0711444
Scharping	0.0710386
Tarawneh	0.070978
jacoby	0.0709478
Vogts	0.070846
Jovanovic	0.0707592
frist	0.070734
O'Donnell	0.0707146
Arbour	0.0706944
Barad	0.0705895
Nickerson	0.0705861
Ricci	0.070535
Garvey	0.0705207
Hansen	0.0705054
Zeroual	0.0704348
Sensenbrenner	0.0704187
Dobbs	0.0703272
Cline	0.070305
Ogata	0.0702819
Mayer	0.0701937
"Frank Joklik"	0.0701398
Rahal	0.0700804
Kwasniewski	0.0699522
Barnes	0.0698748
Condit	0.0698137
Gauthier	0.069772
Santer	0.0697517
Haines	0.0697291
Echols	0.0696722
Olowokandi	0.069584
Knapp	0.0695547
McCabe	0.0695425
Richardson	0.0695359
Denktash	0.0694156
Feng	0.0693069
Heinrichs	0.0692567
))
(Bowers (desc 3139.31) (sims
Berenson	0.142643
Nichols	0.127277
Jelisic	0.126041
"Russell Peeler"	0.12188
Lileikis	0.119117
Schmitz	0.116223
Beckwith	0.116174
Wan	0.115644
Whitacre	0.111801
Gotti	0.107185
Priebke	0.106735
Markhasev	0.105161
Garza	0.104689
Fagan	0.104542
Mendez	0.102865
Cisneros	0.102672
Neulander	0.101756
LeFave	0.101727
Soliah	0.100968
Abernathy	0.100928
Lyons	0.100012
Manbar	0.0995441
Ramsey	0.0993978
Hsia	0.0991654
Symington	0.0987155
Okada	0.0981927
Agca	0.098187
Sakic	0.0981806
Akayesu	0.0976345
Edwards	0.0976148
Pirro	0.0975623
Kalejs	0.0975212
Barrionuevo	0.0973129
KEVORKIAN	0.0972975
Molinari	0.0972008
Reyes	0.0970067
Hubbell	0.0969806
Woodward	0.0967945
Shipman	0.0963344
Capano	0.0961149
peeler	0.0953721
Echols	0.0952022
"Raul Salinas"	0.0950826
Shulman	0.0949058
Falater	0.0947099
Espy	0.094475
"Ray Lewis"	0.0944315
McVeigh	0.0943248
Wiggins	0.0942322
McKinney	0.0940839
Eichmann	0.093929
Skakel	0.0936473
Sheppard	0.0936226
Hoffmann	0.0930687
"Maturino Resendiz"	0.0927334
Schwarz	0.0924687
Papon	0.0919642
Olson	0.0918794
Kaczynski	0.091762
Gutierrez	0.0914086
Yoo	0.0912861
Meissner	0.0908939
Farris	0.0907944
"Louise Woodward"	0.0904392
Dowd	0.0904175
Lacresha	0.0904084
Bakaly	0.0904081
Solomon	0.0900689
Blackthorne	0.0899919
Farber	0.0899461
Stayner	0.0898111
Mcbride	0.089182
Rubinstein	0.0889192
McDougal	0.0887024
Sharma	0.0885616
Robison	0.087455
Khalil	0.0872755
Macdonald	0.0866278
Fleischer	0.086474
Valenzuela	0.0861956
Gilmore	0.0860705
COYNE	0.0860613
Kagalovsky	0.0860367
Duffy	0.0859636
Sheinbein	0.0859513
Henley	0.0858781
Finkel	0.0857836
Francois	0.0856038
Yates	0.0852714
Huggins	0.0852144
Steele	0.0851237
O'Sullivan	0.0849031
Simpson	0.0848996
Advani	0.0848831
singleton	0.0848167
Bly	0.0847822
Deri	0.0847152
Matthews	0.0846484
Ackerman	0.0845556
Boyle	0.0845104
Ferguson	0.0840945
Sebaggala	0.083899
Zamora	0.0838317
Laudor	0.0836355
Copeland	0.0834691
Suarez	0.0834551
Mikhailov	0.0833531
Hirschfeld	0.0830201
Karbaschi	0.0828516
Cao	0.0827354
Brazill	0.082472
Hodges	0.0821528
Ruehe	0.0820642
Dumas	0.0818667
Bhutto	0.0817051
Martorano	0.0816043
Waxman	0.0814542
Swango	0.0813603
Blanton	0.0813527
Egan	0.0813481
Trie	0.0811662
Rashid	0.0811402
hale	0.0811235
Knapp	0.0810583
Gossage	0.0809624
Kurtz	0.0808636
Espinosa	0.080761
Hickman	0.0806931
Jeffers	0.0806743
Keating	0.0800559
Salinas	0.0800377
Harris	0.0799716
Nasrin	0.0799177
Grossberg	0.0796177
Lundy	0.0794678
Buckley	0.0794666
Einhorn	0.0794633
Hartman	0.0794509
Haskins	0.0793804
Goldberg	0.0793418
Brock	0.079141
Donohue	0.0791245
Ng	0.0790964
Russo	0.0790345
Lau	0.0787251
Briscoe	0.0786694
Simons	0.0786628
McGinn	0.0786093
DuBose	0.0784717
Parsons	0.0784162
"Michael Skakel"	0.0783943
Kane	0.0783421
Weil	0.0783172
Vasquez	0.0782597
McLachlan	0.0781466
"Aryeh Deri"	0.0781162
Mattysse	0.077917
Cruz	0.0779061
Vance	0.0778695
Cheung	0.0777976
Alarcon	0.0775057
Hensley	0.0775008
Marinovich	0.0774975
Arias	0.0774881
Kirkpatrick	0.0774147
Kaplan	0.0774105
Bove	0.0770583
Padilla	0.0768094
Roberson	0.0768085
Paxon	0.0762895
Daniels	0.0762853
Auriemma	0.0762672
"David Graham"	0.0762665
McDermott	0.076228
Sankoh	0.0761706
Bates	0.076128
Andreas	0.0760761
bock	0.0759841
Fiorina	0.0758954
hodgson	0.075862
Karr	0.0758409
Frankel	0.075831
Kurth	0.0757092
Corcoran	0.0756087
Shayler	0.0755641
Kimeses	0.0755418
Meehan	0.0755248
Menard	0.0753626
Sharif	0.075133
Flores	0.0750966
Weiner	0.0747371
Brennan	0.0746999
Livoti	0.0746767
Kirby	0.0746527
furrow	0.074601
Baumhammers	0.0745282
Hanna	0.0744949
Prewitt	0.0744611
McIntosh	0.0744305
Diaz	0.0744103
))
(Bowery (desc 1873.28) (sims
"Fifth Avenue"	0.0996573
"Lower East Side"	0.097503
"Hollywood Boulevard"	0.0959925
"Madison Avenue"	0.0936977
"Seventh Avenue"	0.0935768
"Lexington Avenue"	0.0896169
"ground floor"	0.0822853
"Upper East Side"	0.0772153
"Central Park West"	0.0761128
"first floor"	0.0730928
"Park Avenue"	0.0686761
"Upper West Side"	0.0650079
"south side"	0.0638271
"Champs Elysees"	0.0615386
"Eighth Avenue"	0.0607743
"Outer Banks"	0.0605422
"Court @"	0.0603769
"Father's Day"	0.0567564
"Second Avenue"	0.0558078
Bund	0.0551712
"east side"	0.054546
"auction block"	0.0544892
E.	0.0527474
USAir	0.0491598
"west side"	0.0488204
"Left Bank"	0.0485656
houseboat	0.0484009
Ave	0.0480726
"Red Planet"	0.0479972
"Sunset Boulevard"	0.0472268
"Route @@"	0.0471848
"Union Square"	0.0465908
archipelago	0.0458292
sandbar	0.0454651
kilometre	0.0446468
"Appalachian Trail"	0.0446316
"Great Plains"	0.0440717
taskbar	0.0439872
"Arabian Peninsula"	0.0439228
"State Street"	0.0439104
"high wire"	0.0435713
shoestring	0.0428222
"practice range"	0.0419629
Dennehy	0.0408693
"city block"	0.040835
"skid row"	0.0405022
"First Avenue"	0.0402587
))
(Bowfinger (desc 3497.87) (sims
EdTV	0.226153
U-@@@	0.207439
"Notting Hill"	0.206891
"Runaway Bride"	0.179961
"American Pie"	0.171941
"Patch Adams"	0.17119
"Erin Brockovich"	0.166263
"Galaxy Quest"	0.161768
"Mickey Blue Eyes"	0.150365
"Big Daddy"	0.144761
"high fidelity"	0.135895
"Fight Club"	0.13346
"Ideal Husband"	0.123211
"Impossible @"	0.122246
"Civil Action"	0.117867
"Cruel Intentions"	0.114459
"Got Mail"	0.112445
stepmom	0.109876
entrapment	0.105718
"Thomas Crown Affair"	0.105258
"American Beauty"	0.104697
"Nurse Betty"	0.10375
"Wild Wild West"	0.103343
"Space Cowboys"	0.103155
"Been Kissed"	0.102891
Jawbreaker	0.102816
mummy	0.102061
"DEEP BLUE SEA"	0.0999095
"Inspector Gadget"	0.0988289
"Life Is Beautiful"	0.0955124
Rushmore	0.0944282
"Eyes Wide Shut"	0.0930766
"Being John Malkovich"	0.0899387
Stigmata	0.0896814
"Perfect Storm"	0.0887779
"sixth sense"	0.0878654
"Scary Movie"	0.0871329
Muse	0.0867771
"chicken run"	0.086609
Tarzan	0.0850045
"Double Jeopardy"	0.0848137
Pleasantville	0.0842838
"Coyote Ugly"	0.0835164
"Random Hearts"	0.0822424
"Stuart Little"	0.0818643
"Mighty Joe Young"	0.0815307
"Very Bad Things"	0.0814751
"Green Mile"	0.0804324
Bulworth	0.0785526
Tootsie	0.0773469
"Waking Ned Devine"	0.077333
"Animal House"	0.0754637
X-MEN	0.0752317
Antz	0.0749118
"Hollow Man"	0.0744612
"best man"	0.0735775
"Cradle Will Rock"	0.0733676
"Varsity Blues"	0.0728317
Berle	0.0722529
"Toy Story @"	0.0721922
Titus	0.0719805
"Dudley Do-Right"	0.0719008
dogma	0.0717042
"Primary Colors"	0.0710524
"Titan A.E."	0.0705771
Futurama	0.0701021
"Blair Witch Project"	0.0695479
Armageddon	0.0693637
Ronin	0.0693431
"wing commander"	0.068471
Matrix	0.0682854
"True Thing"	0.0676514
"Austin Powers"	0.066993
"Thin Red Line"	0.0662618
"South Park"	0.0658392
"Meet Joe Black"	0.0639397
Pecker	0.0637512
"wonder boy"	0.0635575
Mumford	0.0627204
tingle	0.062504
"Little Voice"	0.0624926
Magnolia	0.0612939
dick	0.06085
"Smoke Signals"	0.060657
"Saving Private Ryan"	0.0603943
"High Art"	0.0602442
satire	0.0595353
Waterboy	0.0594083
tango	0.0592823
"Deep Impact"	0.0585749
stuntman	0.0583252
"Will &AMP; Grace"	0.0570891
"Mod Squad"	0.0568672
"love letter"	0.0566582
"Good Will Hunting"	0.0556147
Gladiator	0.0550278
ringmaster	0.0549283
"Simple Plan"	0.0546891
Mulan	0.0546754
"Jurassic Park"	0.0541262
"Everybody Loves Raymond"	0.0534324
Zorro	0.053098
"Family Guy"	0.0529066
"Lake Placid"	0.0527584
"Scream @"	0.0526092
"Phantom Menace"	0.052535
Dharma	0.0524773
out-of-towners	0.0523607
"Red Violin"	0.0521944
"Forrest Gump"	0.0518305
Malcolm	0.0517428
tumbleweed	0.0517146
"Boogie Nights"	0.0514562
"snake eyes"	0.0514354
"Spencer Tracy"	0.0511471
"L.A Confidential"	0.050189
DreamWorks	0.0498946
"holy man"	0.0496946
"pitch black"	0.0495807
"Usual Suspects"	0.0488438
"Spin City"	0.0487097
cedar	0.0486915
"Jerry Maguire"	0.0485991
"Top Gun"	0.0480254
payback	0.0470988
"Sports Night"	0.0470348
"Suddenly Susan"	0.0467265
"Cider House Rules"	0.0466757
Amadeus	0.0464055
Pinocchio	0.0460502
Frasier	0.0459857
scriptwriter	0.0456444
"Truman Show"	0.0455838
"El Dorado"	0.045509
Trainspotting	0.0452522
ROUNDERS	0.0449896
"Dirty Dancing"	0.044373
prequel	0.044255
in-jokes	0.0440058
"Toy Story"	0.043695
CityWalk	0.0436354
"Sleepy Hollow"	0.0435302
anna	0.043247
"motion picture"	0.043225
"costume designer"	0.0425756
"Natural Born Killers"	0.042448
ripley	0.0423885
"Get Real"	0.0419778
"Opium War"	0.041809
"Pulp Fiction"	0.041771
Quay	0.0415257
FARGO	0.0414395
Irene	0.041423
swinger	0.0410709
"Velvet Goldmine"	0.0410375
"rush hour"	0.0404488
Moesha	0.0403989
heather	0.0402544
))
(Bowie (desc 4329.84) (sims
Wheaton	0.0773498
"David Bowie"	0.0684804
Rockville	0.0660812
"Sam Houston"	0.0647817
"Ocean City"	0.063172
Alcorn	0.0621938
Riverdale	0.0604862
Yoakam	0.0595048
"Silver Spring"	0.058104
Cline	0.056641
Buffett	0.0563805
Potomac	0.0559515
Bethesda	0.0555181
Gardiner	0.0551638
Quokka	0.0543692
Valenzuela	0.0527493
Solis	0.0523282
Katsav	0.0520488
Dunston	0.0516743
Benes	0.0515758
Galbraith	0.0515594
Quintero	0.0512098
Easton	0.051148
"College Park"	0.0511012
Cassell	0.0510499
Paciello	0.0510352
Springsteen	0.0508605
Atwood	0.0507099
McEwan	0.0506969
"Montgomery County"	0.0503689
Manson	0.0499803
Hagi	0.0498031
"Pink Floyd"	0.0487027
Xiong	0.0486353
Cumberland	0.0485192
Sargent	0.0480542
Farrakhan	0.047921
D'Alessandro	0.0479072
Alou	0.0478683
Edelman	0.0477294
Newman	0.0476688
Kubrick	0.0474236
Etherton	0.0472528
"Bruce Springsteen"	0.0471119
Levine	0.0470815
"Mark Kotsay"	0.047022
Henderson	0.0467792
"Beastie Boys"	0.0465998
Twain	0.0464025
Frederick	0.0463967
Soros	0.0462132
Postel	0.0460828
Davey	0.0458877
Christensen	0.0458675
Butyrskaya	0.0456825
Bulatovic	0.0456664
Isner	0.0456376
hobo	0.0449757
Koop	0.0448971
Kenseth	0.0448946
Durwood	0.0448423
Dylan	0.0448415
"Van Halen"	0.0446826
McCartney	0.0445592
Kelleher	0.04455
Fleischer	0.0445354
Bingham	0.0444817
Andreychuk	0.0444398
Marsalis	0.044118
Dudayev	0.0440238
Wiggins	0.044001
goofball	0.0440006
Thome	0.0439458
INEC	0.043894
Sommer	0.0438624
Crosby	0.0438557
Guerrero	0.043683
Nyerere	0.0436481
Castilla	0.0436387
Dragila	0.0436069
"Beach Boys"	0.0435913
Koehler	0.0435718
"Steely Dan"	0.0435349
Hanson	0.043531
Ahtisaari	0.0434145
Bruckner	0.0434054
Winfrey	0.0433035
Salisbury	0.043287
Morse	0.0432593
Mikhailov	0.0432568
Fraga	0.0432154
Giambi	0.0431337
Wye	0.0430542
Hershiser	0.0430156
Nakata	0.0429823
Adkins	0.0429544
Basayev	0.0428727
Contreras	0.0428591
Nanula	0.0428531
Tilberis	0.0427158
Wyly	0.0427077
Moby	0.0427048
Garza	0.0426792
Coles	0.0426332
McLemore	0.0425804
Jauron	0.0425258
Knievel	0.0425072
Annapolis	0.0425036
Hoffmann	0.0424944
Coe	0.0424283
Pederson	0.0423932
Cao	0.0422597
Davies	0.0422469
Ellington	0.0420604
Kazhegeldin	0.0420075
"Rolling Stones"	0.0419776
Metallica	0.0419272
Chappell	0.0418852
Crawford	0.0418112
Clapton	0.0418002
Wilkinson	0.0417983
Brister	0.0417714
Norman	0.0417566
BARNICLE	0.041633
Hancock	0.0415953
Reynoso	0.0415771
Carlson	0.0415466
Salinger	0.0415354
Friedman	0.0415077
Puzo	0.0413519
decker	0.0413021
Muoneke	0.0412185
"Bob Dylan"	0.0411017
"Wye River"	0.0410769
Calloway	0.0410366
Raduyev	0.041033
Coverdell	0.0410128
Marquez	0.0410017
Farnsworth	0.0409931
Azizan	0.0409914
Trie	0.0409895
Dion	0.0409525
Piniella	0.0409506
Tapia	0.0409269
Marinovich	0.0408871
Dougherty	0.0408801
Sihanouk	0.0408515
Mayfield	0.0408086
Bautista	0.0407961
Klinsmann	0.0407902
McGowan	0.0407755
Mellencamp	0.0406441
Hildegard	0.0405614
Beltran	0.0405326
Sexson	0.0403383
Saramago	0.0403037
Joplin	0.040188
Laudrup	0.040128
COSCO	0.0400866
Hertz	0.0400589
Siskel	0.0400518
Hallinan	0.0400011
))
(bowl (desc 73103.2) (sims
"mixing bowl"	0.226661
saucepan	0.219062
pan	0.166419
pot	0.16119
dish	0.15197
bowls	0.14618
jar	0.144015
Casserole	0.141273
skillet	0.136385
"food processor"	0.133789
cup	0.132002
plate	0.127981
container	0.125082
platter	0.117516
ramekins	0.11726
tray	0.116669
blender	0.112671
"measuring cup"	0.110584
"Dutch oven"	0.0994972
bag	0.0988653
glass	0.0978459
vase	0.0974931
bucket	0.0947986
kettle	0.0939469
bottle	0.0930017
mixture	0.0928637
box	0.0913058
salad	0.0890966
jug	0.0873724
tub	0.0849345
sauce	0.0833249
Spoon	0.0831076
cake	0.081913
soup	0.0808366
slice	0.0781266
"Rose Bowl"	0.0759194
basket	0.0749429
butter	0.074702
cooker	0.073164
urn	0.0729578
sheet	0.072891
piece	0.0726119
spoonful	0.072402
can	0.0718566
"frying pan"	0.0709632
dough	0.0693687
VAT	0.0689735
potato	0.068464
oven	0.0682661
mold	0.0682349
tortilla	0.0679912
bread	0.0679355
layer	0.0679116
strainer	0.0678176
egg	0.0675288
chicken	0.066602
utensil	0.066212
cube	0.0656021
sandwich	0.0655821
"Super Bowl"	0.0655345
meal	0.0648339
pasta	0.0644535
crust	0.064424
Tin	0.0641054
carton	0.0638313
bathtub	0.063213
dessert	0.0629932
top	0.0629488
"egg yolk"	0.0628406
"Fiesta Bowl"	0.0618195
mixer	0.061489
pile	0.061057
broth	0.0609362
refrigerator	0.0608314
chocolate	0.0608313
crate	0.0608128
basin	0.0606872
table	0.0602764
rack	0.0602058
drink	0.0599259
TART	0.0597589
"sugar bowl"	0.0594805
cream	0.0592104
vegetable	0.0591705
tomato	0.0591551
cheese	0.0590653
flavor	0.0590006
pool	0.0588304
stew	0.0586746
bed	0.0585048
juice	0.0584527
puree	0.058057
"NCAA Tournament"	0.0580173
playoff	0.0577801
pie	0.0577471
tablespoon	0.0576073
serving	0.0574185
cooky	0.0572875
"egg white"	0.0572452
Shell	0.0570811
marinade	0.056881
"Orange Bowl"	0.0567911
ingredient	0.0565132
sugar	0.0562436
lamp	0.0560713
water	0.055858
batch	0.0556038
postseason	0.0551612
pit	0.0551586
milk	0.0551408
dinner	0.0550279
onion	0.0549532
steak	0.0545677
coffee	0.0538628
meat	0.0534814
napkin	0.0533904
coffin	0.0532321
cooler	0.0530908
fork	0.0530708
pepper	0.0530166
flour	0.0530112
"olive oil"	0.0529437
"World Series"	0.0528074
pumpkin	0.0527454
pizza	0.0524334
wedge	0.0522059
fillet	0.0518059
"Cotton Bowl"	0.0518011
tube	0.0517301
syrup	0.0517248
cage	0.0515983
dressing	0.0515215
noodle	0.0514262
mug	0.0513732
snack	0.0513228
nit	0.0512937
BCS	0.0511898
pond	0.0511895
cylinder	0.0511462
pastry	0.051125
breakfast	0.0510771
food	0.0510487
lunch	0.0510436
tank	0.0508908
grill	0.0508387
Bin	0.0507069
sack	0.0506468
lid	0.0506404
rice	0.0505019
chair	0.0501998
garden	0.0500905
Mound	0.0500868
wine	0.0500492
recipe	0.0499152
square	0.0498277
tournament	0.0498004
Pudding	0.0496584
cavity	0.0493788
biscuit	0.0491953
ball	0.0491088
blanket	0.0490835
shrimp	0.0489125
batter	0.0487879
leaf	0.0486567
fruit	0.0486301
bottom	0.0486108
pancake	0.0483727
"chicken breast"	0.0483164
vinegar	0.0482963
frame	0.048271
bar	0.0482689
trophy	0.0480738
loaf	0.0480096
kitchen	0.0476358
lake	0.0476029
toilet	0.0475663
freezer	0.047505
bath	0.0472585
package	0.0470692
packet	0.0470298
championship	0.0469309
chunk	0.0467003
yogurt	0.046609
tile	0.046551
drawer	0.0465033
surface	0.0464443
teaspoon	0.0461878
sculpture	0.0461644
salt	0.0460688
cloth	0.04601
bean	0.0459963
cookie	0.0459613
filling	0.0459477
plastic	0.0458796
towel	0.0457522
knife	0.0457197
flower	0.0455637
portion	0.0455547
Beer	0.045551
pen	0.0451393
))
("Bowl Championship Series" (desc 4281.31) (sims
BCS	0.268842
"Division I-AA"	0.0863092
RPI	0.0843628
"National Invitation Tournament"	0.0785596
"Eastern Conference"	0.0753546
"Fiesta Bowl"	0.0743857
"NCAA Tournament"	0.0741024
"Orange Bowl"	0.0730343
"Big Sky Conference"	0.0725017
"Western Conference"	0.0691394
ATP	0.0687694
"sugar bowl"	0.0680721
WTA	0.0680173
"Gator Bowl"	0.0672498
"Copa America"	0.067127
"World Championship"	0.0668512
oil-for-food	0.0635222
"Top @@"	0.0631756
ITTF	0.0626508
C-USA	0.0625591
NFC	0.0617347
"Midwest Regional"	0.0601333
"World Group"	0.059643
"WTA Tour"	0.0590166
CWS	0.0589654
"Sporting News"	0.0586719
NTRA	0.0580182
Hannover	0.0578698
fiesta	0.0577468
A.L.	0.0571566
"ATP Tour"	0.0567164
"Rose Bowl"	0.0564009
"Big @@"	0.0561446
"Palm VII"	0.055892
XFL	0.0554045
"American League East"	0.0550617
"Italian Cup"	0.0549004
nit	0.0548895
"World Report"	0.0545403
"Top @"	0.0540299
"Champions League"	0.0536986
IBF	0.0533712
"National League East"	0.0533418
"batting order"	0.0531808
WAC	0.0527506
Pacific-@@	0.0525508
"Solheim Cup"	0.0524017
ECW	0.0523642
"Baseball America"	0.0520327
WNBA	0.0515868
"track event"	0.0511014
"National Electoral Commission of Nigeria"	0.0510839
"Italian League"	0.0510214
"Western Athletic Conference"	0.0509193
"Pan Am Games"	0.0503766
"Big East"	0.0503649
"Premier League"	0.0492216
AFC	0.0491601
"College World Series"	0.048627
"Holiday Bowl"	0.0484111
"Atlantic Division"	0.0478534
"Peach Bowl"	0.0477866
"AFC East"	0.0474158
"first five"	0.047267
"American League"	0.0465652
"Conference USA"	0.0464723
"next three"	0.0460248
top-@@	0.0456985
WCC	0.0453641
NCAA	0.0452383
"Sydney Olympics"	0.0450554
"NL East"	0.0449373
"Big West"	0.0449292
Pac-@@	0.0448648
PCI	0.0448618
"NL Central"	0.044854
"Big Sky"	0.0447276
"Grand National"	0.0443545
"National League West"	0.044333
DIVX	0.0442493
"ATP Tour World Championship"	0.0439923
"Pacific Division"	0.0432609
"Jacksonville Jaguars"	0.0432524
"Group B."	0.0432447
"Funny Car"	0.0431618
"National League"	0.0430657
"first three"	0.0430163
ACC	0.0428704
"Nielsen Media Research"	0.0427561
"European Champions League"	0.0423317
"Asian Cup"	0.042327
Ryder	0.0422097
"Sony Playstation"	0.0422065
"U.S. Golf Association"	0.0421689
"Sydney Olympic"	0.0417987
"Transparency International"	0.0415328
"Dunhill Cup"	0.041375
"AL East"	0.041062
interleague	0.0410596
"Department of Fish"	0.0410428
"U.S. Senior Open"	0.0410267
"NFC West"	0.0407967
"UEFA Cup"	0.0406382
"Sweet @@"	0.0405857
Bundesliga	0.0405829
"Cotton Bowl"	0.040417
"Seattle Times"	0.0402798
"NBA Finals"	0.0400866
DV	0.0400529
))
(bowler (desc 12306.6) (sims
paceman	0.271915
batsmen	0.169565
cricketer	0.160346
batsman	0.114536
Bowling	0.101261
"chess player"	0.0837468
spinner	0.0820329
rebounders	0.0804446
QBs	0.0708983
"Allan Donald"	0.0701579
footballer	0.0695901
cager	0.0682187
rushers	0.066901
"Darren Gough"	0.0647321
"Shane Warne"	0.0637311
paddler	0.0630782
weightlifter	0.063005
vaulter	0.0629964
shuttlers	0.0626976
cricket	0.0620826
swimmer	0.0616062
"Mike Atherton"	0.0605963
"tennis player"	0.0605145
gymnast	0.0597542
miler	0.0596228
"Curtly Ambrose"	0.05864
sprinter	0.0582067
skater	0.0576143
golfer	0.0575829
"Angus Fraser"	0.0574734
"volleyball player"	0.0573276
"hockey player"	0.0572352
"beer drinker"	0.0559785
marathoner	0.0556842
"Glenn McGrath"	0.0551862
"Courtney Walsh"	0.0548246
"three pitchers"	0.0538799
wicket	0.0538047
lifter	0.0537677
fedora	0.0536872
goal-scorer	0.0536391
"bowler hat"	0.0534928
runner	0.0530564
cyclist	0.0527152
"High Commission"	0.0526566
"pass catcher"	0.0523045
thrower	0.0521232
"Dean Headley"	0.0519365
skier	0.0518192
selector	0.0515398
"base runner"	0.0514888
lbw	0.0508527
vote-getters	0.0506622
upperclassmen	0.0498928
violinist	0.0493778
"Salim Malik"	0.0492564
climber	0.0491174
student-athletes	0.0488798
racer	0.0488441
sailor	0.048665
batting	0.0485698
hitter	0.0483607
"Susanthika Jayasinghe"	0.0473693
paraplegic	0.0473081
bodybuilder	0.0470182
rider	0.0467654
cornerbacks	0.0467581
Muralitharan	0.0465664
angler	0.0464737
"Wasim Akram"	0.0464436
"Penny Heyns"	0.0460932
overs	0.045787
closers	0.0456584
Olympian	0.0454885
bullfighter	0.0454311
"major leaguer"	0.0452249
"basketball player"	0.0449318
learner	0.0449176
tackler	0.0449063
returners	0.0447306
triathletes	0.044387
businesswomen	0.0440524
"pole vaulter"	0.0438229
surfer	0.043762
speller	0.0437499
talker	0.0435454
shooter	0.043503
internationals	0.0434582
diver	0.0433355
dramatist	0.0429752
passer	0.0427718
goalkeeper	0.0427073
clarinetist	0.0426114
duo	0.0425138
Flo	0.0423846
boxer	0.0422996
jockey	0.0422682
tacklers	0.0421704
Taufik	0.0418932
jogger	0.0417244
scorer	0.0412872
cabinetmaker	0.0411972
All-Americans	0.0411832
"baseball player"	0.0409077
rower	0.0407532
great-grandchildren	0.0406289
hurler	0.0405394
foursome	0.0404415
hurdler	0.0403444
typist	0.0402923
))
("bowler hat" (desc 1556.37) (sims
"ski mask"	0.186942
"bow tie"	0.144678
"rubber boot"	0.142849
"dark glasses"	0.14183
"top hat"	0.141648
"name tag"	0.139226
raincoat	0.133879
yarmulke	0.13001
"hard hat"	0.129682
"straw hat"	0.128703
knickers	0.123181
"boxing glove"	0.122494
"cowboy hat"	0.120719
turban	0.116814
overcoat	0.116689
blackface	0.116393
"life vest"	0.116184
suspender	0.113759
fedora	0.112785
tuxedo	0.111542
miniskirts	0.109549
"feather boa"	0.105579
dreadlocks	0.102134
"sports jacket"	0.101193
slicker	0.10045
"body armor"	0.100385
blinder	0.0993622
"cocktail dress"	0.0993093
miniskirt	0.0973322
"leather jacket"	0.0971825
loincloth	0.096909
"black tie"	0.0963439
corset	0.0956955
tights	0.0944783
tux	0.0943266
"cowboy boot"	0.0942787
"life jacket"	0.0941541
headband	0.0929856
toupee	0.0922078
"nose ring"	0.0913077
"fur coat"	0.0910604
"baseball cap"	0.0906153
headgear	0.0905906
sunglasses	0.0903303
"business suit"	0.0902411
wig	0.0896629
brassiere	0.0893104
"pants suit"	0.0884779
"oxygen mask"	0.0884697
garb	0.0878018
"evening gown"	0.0876886
armband	0.0865071
"trench coat"	0.0863562
"combat boot"	0.0862686
skullcap	0.0856652
smock	0.0856141
bandanna	0.0851783
goggles	0.0851281
leotards	0.0847096
STETSON	0.0839372
slipper	0.0834358
"military uniform"	0.0833006
ascot	0.0829446
beret	0.0825212
bathrobe	0.0821365
bodysuit	0.0812445
"stiletto heel"	0.0810601
"dress shirt"	0.0804365
pantsuit	0.0802313
waistcoat	0.0800576
loafer	0.0799004
undershirt	0.0798865
blinker	0.0790551
caftan	0.0786195
"neck brace"	0.0785305
capris	0.0781496
kimono	0.0771092
spacesuit	0.0760715
"dress uniform"	0.0755471
trouser	0.075222
pinstripes	0.0750159
choker	0.0748942
"mink coat"	0.0746879
goatee	0.0745246
mitten	0.0739432
BOA	0.0739253
headdress	0.0737214
blouse	0.0734066
"first-aid kit"	0.0728762
necktie	0.0723485
sweatshirt	0.0721312
Poncho	0.0719581
"prayer shawl"	0.0712786
hairdo	0.0707228
"polo shirt"	0.0702593
fishnet	0.0694493
tunic	0.0674933
vestment	0.0673936
"blue jean"	0.0672257
hairpiece	0.0668331
"face mask"	0.0666033
sideburn	0.0661888
mustache	0.0661864
finery	0.0661786
kilt	0.0659644
"evening dress"	0.0659594
"wedding dress"	0.0657335
pantyhose	0.0653041
"tennis shoe"	0.0647377
Bonnet	0.0632491
jumpsuit	0.0624003
bellbottoms	0.0623723
wristband	0.0619381
"Jeep Cherokee"	0.0619291
braid	0.0611659
legging	0.0610815
bandana	0.061058
apron	0.0610174
"felt hat"	0.0607229
visor	0.0603866
earphone	0.0602132
cardigan	0.0600442
turtleneck	0.0600385
eyeglass	0.0600056
"evening bag"	0.0598701
"roller skate"	0.0598679
Pantsuits	0.0595061
respirator	0.0594832
parka	0.0594827
Cape	0.0591735
"hot pants"	0.0591185
ponytail	0.0587354
"bathing suit"	0.0581031
eyeliner	0.0579929
armor	0.0576846
"man's body"	0.0576295
earring	0.0575397
Afro	0.0575374
plainclothes	0.0572621
sandal	0.0569909
Tutu	0.0569871
"street clothes"	0.0567441
nightgown	0.0566304
underpants	0.0566248
getup	0.0563059
windbreaker	0.0561964
girdle	0.0559921
earpiece	0.0559531
whisker	0.0559274
stole	0.0556641
plunger	0.0554958
tiara	0.0552861
bustier	0.0550967
seatbelt	0.05435
chap	0.053515
bowler	0.0534928
suede	0.0533835
pajama	0.0532551
hand-me-down	0.0531485
wader	0.0531122
"sweat pants"	0.0528558
skates	0.0526145
sarong	0.0525188
headphone	0.0524938
Speedo	0.0522138
Fez	0.052201
halter	0.0517079
lampshade	0.0514917
"wedding gown"	0.0514204
regalia	0.0514146
"life preserver"	0.0513542
"walking stick"	0.0510199
mink	0.0509062
pigtail	0.0507634
snout	0.0505977
parasol	0.0502664
"two heads"	0.0501001
stiletto	0.0500759
sequin	0.0498496
Swimwear	0.0498172
"running shoe"	0.0497644
Sari	0.0494158
pullover	0.0494147
coverall	0.0494037
moustache	0.0488701
spandex	0.048563
shorts	0.0484976
decker	0.0482102
beany	0.0480956
duster	0.0478928
"lawn chair"	0.0477873
G-string	0.0477308
jamb	0.0476484
shawl	0.0470173
muffler	0.046879
Chino	0.046838
"bulletproof vest"	0.0463921
Mohawks	0.0463636
Rolex	0.0461672
earplugs	0.0458379
))
(Bowles (desc 2860.28) (sims
Puzo	0.119167
O'Neil	0.097569
Higgins	0.0969
Symons	0.0920018
Whipple	0.0903787
Talebi	0.0889936
Flaherty	0.087428
Nickerson	0.0873512
Hanley	0.0866023
Blackwell	0.0863435
Blackman	0.0860999
"La Mont"	0.0859383
Sassa	0.0857871
Schmalensee	0.0836831
McCurry	0.0835259
Lessig	0.0832906
Riady	0.0828348
Jayakumar	0.0825105
Allchin	0.0819723
Rubenstein	0.0815925
Rabe	0.08128
Kaplan	0.0810301
Hess	0.0810234
Poole	0.079458
McGuinness	0.0792589
Gullikson	0.0789374
Tarawneh	0.0789018
Jaffe	0.0787916
Sihanouk	0.0787496
"De la Cruz"	0.078669
Epstein	0.078466
Dubus	0.0783747
Duisenberg	0.0783153
Rosenthal	0.0782759
Schieffer	0.0771163
Atwood	0.0770406
Finkel	0.0767482
Rawabdeh	0.0767046
Erwin	0.0765091
Segal	0.0764953
Menuhin	0.0760869
Goldin	0.0755342
"Wim Duisenberg"	0.0752662
Rollins	0.075262
Ruggiero	0.0752139
O'Connell	0.0750962
Blume	0.0748001
O'Connor's	0.0747935
Weil	0.0747924
Vogel	0.0746528
Ritter	0.0745008
Morse	0.0742651
Rudman	0.074029
Nichols	0.0736317
Barksdale	0.0736308
"Erskine Bowles"	0.0735003
Gibbons	0.073488
Bidwill	0.0734546
"Rahm Emanuel"	0.0733312
Bruton	0.0731994
Prewitt	0.0731112
Podesta	0.0729
Belanger	0.0728345
Austen	0.0723478
Ikimi	0.071721
Berger	0.0716656
Cavanaugh	0.0716185
Mukora	0.0714041
Ghani	0.0708051
Camdessus	0.0702914
Waxman	0.0702827
Mustafa	0.0702055
Rubin	0.070173
Moonves	0.0701634
Lockhart	0.0694481
Gephardt	0.0693721
Ruff	0.0692895
Paxon	0.069194
Krugman	0.0691376
"George Stephanopoulos"	0.0690715
Ainge	0.0686091
Fleischer	0.0685308
Autry	0.0683693
Haynes	0.0682498
Colburn	0.0678352
Eubanks	0.0676299
Lyons	0.0675582
Soto	0.067526
Rosenberg	0.0672542
Blumenthal	0.0672203
Zeng	0.0672075
Grunow	0.0671689
Haskins	0.0671324
HELLER	0.0671292
Katz	0.0670796
Cooley	0.0669508
Rao	0.066835
McNamara	0.0667848
Havelange	0.0665699
Leghari	0.0665573
"de Charette"	0.0664702
Farah	0.0664257
Butterfield	0.0660818
Billick	0.0660745
Sobel	0.066052
Brandt	0.0660492
Blatter	0.0657025
"Jack Valenti"	0.0656637
Mandelson	0.0655789
Osborne	0.0655247
Bingham	0.0654232
Dickens	0.0653522
Clements	0.0653315
Azizah	0.0652571
Padilla	0.0651064
Hargrove	0.0648957
Ross	0.0648277
Nanula	0.0647987
Eisner	0.0647126
Gaston	0.0646747
Newhouse	0.0644998
Carville	0.0644063
Joklik	0.0639126
Wolfensohn	0.0637526
Esposito	0.063672
Donahue	0.0635131
leeson	0.0634148
Murayama	0.0633583
"Chief Executive Tung Chee-hwa"	0.0633435
"Robert E. Rubin"	0.0633343
Grossman	0.0632552
Logue	0.0630341
Sharma	0.0630336
Ickes	0.0629402
Maritz	0.0627273
Goff	0.0625854
Nicholson	0.062515
Levin	0.0623561
"De Klerk"	0.0621979
Lindsey	0.0620603
Daley	0.0620549
Hickman	0.0620451
Welch	0.0618429
Tevanian	0.0617772
COYNE	0.0617729
Brokaw	0.061727
Hamlin	0.0616396
Gutman	0.0616101
Selig	0.0615904
Hawke	0.0615602
DiCicco	0.0615464
O'Reilly	0.0613761
Hersh	0.0613536
"John Podesta"	0.0611966
Evans	0.0611779
Menchu	0.0611327
Valdez	0.0610908
Rau	0.0610568
Ramsey	0.0609566
Dickey	0.0609494
Kornberg	0.0609363
Meyers	0.0608775
Maslyukov	0.060842
Holbrooke	0.0607783
Majali	0.0605201
Salinger	0.0605145
Heinrichs	0.0603942
Jovanovic	0.060287
MacDonald's	0.0601327
Lerner	0.0600398
Goldberg	0.0600383
Bhattarai	0.0600038
Myhrvold	0.0599564
Adair	0.0598048
Hoddle	0.0597364
Arbour	0.0597352
Roberts	0.0597229
Ellis	0.0594697
Dobbs	0.0594521
Karimov	0.0594347
Hashimoto	0.0594321
Auerbach	0.0594077
Cowan	0.0591938
Mandela	0.059116
Tagliabue	0.0590797
Moser	0.0588992
Lasorda	0.0588097
Zarb	0.0587444
Siegel	0.0586409
Davies	0.0586007
Tsang	0.0585669
Kelleher	0.0585201
Fairbanks	0.0585138
Samaranch	0.0584505
Zadornov	0.0584406
Strauss-Kahn	0.058384
Quackenbush	0.0582912
Wolff	0.0581807
Shamshad	0.0581417
Bowman	0.0581208
))
(Bowling (desc 11770.4) (sims
"table tennis"	0.175599
snooker	0.173493
badminton	0.171328
"field hockey"	0.166094
taekwondo	0.163081
judo	0.161305
Gymnastics	0.160381
softball	0.158961
archery	0.158931
"water polo"	0.1545
weightlifting	0.153795
volleyball	0.151895
karate	0.147459
rowing	0.144048
tennis	0.141627
takraw	0.139272
cycling	0.138099
Yachting	0.128677
wrestling	0.1267
boxing	0.12606
"track and field"	0.121417
Rugby	0.120322
swimming	0.118998
handball	0.118563
fencing	0.117042
pentathlon	0.116859
Wushu	0.113465
athletics	0.112247
triathlon	0.10554
basketball	0.104289
hockey	0.103749
"figure skating"	0.103365
golf	0.102052
soccer	0.101861
lacrosse	0.101504
bowler	0.101261
"ballroom dancing"	0.100359
squash	0.0995986
cricket	0.0960636
billiards	0.0954735
"ice hockey"	0.0946864
"horse racing"	0.0865779
diving	0.0864077
Skating	0.0812191
skiing	0.080381
chess	0.0789625
boating	0.0779485
surfing	0.0755314
equestrian	0.075158
aerobics	0.0734201
croquet	0.0731927
football	0.0727391
"mountain climbing"	0.0724139
"horseback riding"	0.0705236
golfing	0.0696521
sailing	0.0690801
"ice skating"	0.0680725
Racing	0.0677182
skeet	0.0675099
hiking	0.065862
Polo	0.064926
gardening	0.0645652
"water sport"	0.062572
angling	0.0611477
"World Championship"	0.0605342
jogging	0.0598335
Frisbee	0.0596736
"scuba diving"	0.0592574
bicycling	0.0587322
bobsled	0.0586909
ping-pong	0.0579172
bodybuilding	0.0570584
fishing	0.0567811
yoga	0.0558434
epee	0.0556824
snorkeling	0.0553397
pitching	0.0549503
hunting	0.0549105
"martial art"	0.0546559
dressage	0.0545473
"shot put"	0.0526257
"cross country"	0.0523037
"hammer throw"	0.05226
"College World Series"	0.0519407
poker	0.0512387
men's	0.050741
Scrabble	0.0506398
"professional baseball"	0.0493179
LPGA	0.0492155
XFL	0.049135
"won nine"	0.0489284
dancing	0.0487068
"Fed Cup"	0.0485092
overs	0.0482575
"volleyball player"	0.0475284
biathlon	0.0475271
parachuting	0.0473477
"professional basketball"	0.0472542
"professional golf"	0.0470725
javelin	0.0469551
under-@@	0.0467476
rodeo	0.0466624
marathon	0.0463687
"Sydney Olympic"	0.0462483
"Angus Fraser"	0.0459354
mountaineering	0.0458486
NASCAR	0.0454005
luge	0.0452089
batsmen	0.0451757
"pole vault"	0.0446629
"ski jumping"	0.0446089
knitting	0.0444143
cricketer	0.044269
"hockey player"	0.0442107
spinner	0.0437023
"Thomas Cup"	0.0436659
decathlon	0.0435428
batting	0.0433401
Heptathlon	0.0432805
"Uber Cup"	0.043225
"garbage disposal"	0.0430955
"rock climbing"	0.0429066
skateboarding	0.0427899
"match play"	0.0427838
"Solheim Cup"	0.042649
"professional football"	0.0426102
up-and-down	0.0421015
"American football"	0.0420452
fly-fishing	0.0418502
Gaming	0.0417741
"Fighting Irish"	0.0415483
"basketball league"	0.0415294
nonconference	0.0411997
"Darren Gough"	0.0410965
pre-Olympic	0.0410601
snowboard	0.0410428
cooking	0.0408816
shopping	0.0408618
"long jump"	0.04072
"little league"	0.0406888
warmup	0.0406289
Universiade	0.0404877
"professional wrestling"	0.0402003
))
("bowling alley" (desc 5399.55) (sims
"liquor store"	0.130336
"beauty salon"	0.130121
"movie theater"	0.126616
"game room"	0.120737
"dance hall"	0.116798
"grocery store"	0.108679
"shopping mall"	0.105002
"swimming pool"	0.104774
SPA	0.100015
"gas station"	0.0998665
"shopping center"	0.0998087
"beauty parlor"	0.0994989
"tennis court"	0.098756
saloon	0.0986669
"butcher shop"	0.097926
"art gallery"	0.0959982
"tea house"	0.0945624
"convenience store"	0.0944751
arcade	0.0927791
nightclub	0.0922395
tavern	0.092056
pub	0.090364
motel	0.090335
parlor	0.0885854
coffeehouse	0.088375
delicatessen	0.0878783
cafe	0.087546
"car park"	0.0873594
"coffee shop"	0.0864579
gymnasiums	0.0862988
"clothing store"	0.0846239
"skating rink"	0.0846089
mall	0.0833167
"pool table"	0.0832547
"truck stop"	0.0830313
"beauty shop"	0.0828987
"recreational facility"	0.082845
"entertainment center"	0.0827897
"food shop"	0.0821595
"pizza parlor"	0.0820487
"movie house"	0.0816475
"hardware store"	0.0808104
supermarket	0.0806336
eateries	0.0803759
"gift shop"	0.0798558
spas	0.0796543
"ball field"	0.0793757
gym	0.0792348
"miniature golf"	0.0783817
"amusement park"	0.078183
teahouse	0.0779803
bakery	0.0778418
drugstore	0.0769665
ballroom	0.0767097
"retail store"	0.0758838
"fire station"	0.0756558
bookstore	0.0754241
"ice rink"	0.0752728
"community center"	0.0751975
"toy store"	0.0741173
Casino	0.0737735
sauna	0.0733154
pizzeria	0.0730019
"golf course"	0.0725779
lounge	0.0725771
bistro	0.072176
"basketball court"	0.0718043
Jacuzzi	0.0714071
cafeteria	0.071241
Marina	0.0703912
dealership	0.0703493
Pharmacy	0.0703257
gymnasium	0.0699758
"chain store"	0.0699735
"department store"	0.0699571
"snack bar"	0.0697854
Bathhouse	0.0691568
deli	0.0691335
junkyard	0.0689231
"service station"	0.0688762
"dining room"	0.0688351
Brasserie	0.0675314
garage	0.0671236
"theme park"	0.0667255
"recording studio"	0.0666848
disco	0.066149
"baseball diamond"	0.0661016
salon	0.0656476
"sports arena"	0.065396
"general store"	0.0653838
discotheque	0.0653234
"office building"	0.0651252
playroom	0.0646509
"picnic area"	0.0644794
cinema	0.0640758
"conference center"	0.063587
"printing press"	0.0627017
Warehouse	0.0622589
"day care center"	0.0621188
"candy store"	0.0618988
nightspots	0.0618519
"shoe store"	0.0616181
"repair shop"	0.0615926
"machine shop"	0.0615906
pawnshop	0.0613141
"exhibition hall"	0.0611965
brothel	0.0609418
"jewelry store"	0.0607395
racetrack	0.0606943
"bomb shelter"	0.0605784
rink	0.06043
"Kentucky Fried Chicken"	0.0600716
"botanical garden"	0.0600374
"funeral home"	0.0599453
"discount store"	0.059804
condominium	0.0593706
McDonalds	0.0590953
Picassos	0.0587112
boutique	0.0581772
"wine cellar"	0.0581588
"Burger King"	0.057698
showroom	0.0575647
playground	0.0573713
"post office"	0.0572486
kiosk	0.0570734
bookshop	0.0570387
barbershop	0.0570274
"concert hall"	0.0569576
"driving range"	0.0566652
"flour mill"	0.0564977
auditorium	0.0563737
aquarium	0.0562127
speakeasy	0.0561037
"printing company"	0.0557694
sawmill	0.0557217
hostel	0.0554957
"boarding house"	0.0551823
Steakhouse	0.0551531
nursery	0.0549824
"fraternity house"	0.0549031
"Pizza Hut"	0.0546459
dispensary	0.054625
canteen	0.054594
MCDONALD's	0.054222
campground	0.0540754
campgrounds	0.0537664
"dining area"	0.0536397
"theater ticket"	0.0535126
"Rainbow Room"	0.0528331
"reading room"	0.0523362
"coffee bar"	0.0522548
dealerships	0.0521805
"paper mill"	0.0520907
"publishing company"	0.0519341
"specialty store"	0.051882
"gambling casino"	0.0518546
florist	0.0518185
"living quarters"	0.0516854
"dry cleaner"	0.0516547
slaughterhouse	0.0511757
grocery	0.0511474
"resort hotel"	0.0511284
hypermarket	0.0510481
"dairy farm"	0.0505002
"yacht club"	0.0504666
inn	0.0500227
"housing development"	0.0499987
"office block"	0.0499142
loft	0.0497739
"psychiatric hospital"	0.0496881
storefront	0.0495431
dormitory	0.0495255
Safeway	0.0495101
bed-and-breakfast	0.0494611
"travel agency"	0.0494354
bed-and-breakfasts	0.0491631
taxicab	0.0490766
"Print Shop"	0.0489786
"petrol station"	0.0489276
"bus company"	0.0486133
"employment agency"	0.0485807
superstore	0.0485734
"Sistine Chapel"	0.0485605
"country house"	0.0485537
"steel mill"	0.048546
"country club"	0.048396
"conference room"	0.04837
kennel	0.0481844
"trucking company"	0.0478751
amphitheater	0.0470777
guesthouse	0.0466886
"apartment building"	0.0464706
"branch office"	0.046333
"residence hall"	0.0462941
laundry	0.0459345
"holiday resort"	0.0459011
distillery	0.0458711
barroom	0.0456341
"mobile home"	0.0454154
"investment company"	0.0453893
))
("bowling ball" (desc 1425.02) (sims
"hypodermic needle"	0.097077
racquet	0.0970601
flamethrower	0.0934737
"hot potato"	0.0903558
"hockey stick"	0.0861088
hubcap	0.0842186
"water bottle"	0.0837551
"snake eyes"	0.0829403
thunderbolt	0.0827836
"ball bearing"	0.082333
"tennis racket"	0.0809482
"grocery bag"	0.0793457
"petrol bomb"	0.0781482
paintbrush	0.0779548
firebomb	0.0768163
cannonball	0.0764909
paring	0.0750993
"Molotov cocktail"	0.0747078
fireball	0.0742185
"hand grenade"	0.0708184
"book bag"	0.0706711
"shower curtain"	0.0703408
caftan	0.0701768
drumstick	0.069348
cellophane	0.0692084
"pipe bomb"	0.0691904
"vacuum cleaner"	0.0687814
Hantavirus	0.0684766
spear	0.0680645
"prima donna"	0.0670631
"ball club"	0.066981
Tomahawk	0.0665426
"Hail Mary"	0.0657171
bayonet	0.0652693
snowball	0.0643335
"rolling pin"	0.0642599
"more than @@@ pounds"	0.0635533
"monkey wrench"	0.0632768
"roller skate"	0.0632269
"genetic disease"	0.062846
gerbil	0.0625401
"beer can"	0.062424
"Titan A.E."	0.0622581
Seizinger	0.0621782
"neurological disease"	0.0621407
"garden hose"	0.0616799
"chain saw"	0.061382
surfboard	0.0609573
pinata	0.0609072
"geographical area"	0.0608287
"embryonic cell"	0.0607748
wheelbarrow	0.0604971
"Honda Civic"	0.0603764
"beach ball"	0.0603497
enema	0.0600171
"gasoline bomb"	0.0596477
"battering ram"	0.0595569
"power tool"	0.0589925
excrement	0.0589533
"stock company"	0.0581887
lightbulb	0.0581879
crawling	0.0581778
spool	0.0581704
"three pitchers"	0.0581207
"lawn mower"	0.0580712
poop	0.0580709
deftness	0.0578384
masher	0.0575266
brownout	0.0575141
"Louis Vuitton"	0.0573481
nunnery	0.0573009
"Homo erectus"	0.0572
satchel	0.057062
"automatic rifle"	0.057025
"explosive device"	0.0567916
skateboard	0.0564732
"one kilogram"	0.0564148
Partway	0.0564074
semicolon	0.056303
"fire extinguisher"	0.0562789
"baseball bat"	0.0562664
cudgel	0.0562651
"beach towel"	0.0562451
"loaf of bread"	0.0561141
Baines	0.0560953
nigger	0.0560371
yo-yo	0.0560242
roller	0.0560151
twit	0.0558598
decal	0.0558465
"skin cell"	0.0552317
"second tour"	0.0549173
two-hitter	0.0548665
"life vest"	0.0548323
pickax	0.0548278
pug	0.0547442
cannon	0.0547173
dribbler	0.0546962
choirboy	0.0544574
hatchet	0.0543169
baton	0.0542729
flatulence	0.0542624
Auger	0.0538155
crock	0.053739
"social event"	0.053665
double-teamed	0.0536106
roadshow	0.0534805
automaton	0.053458
"Trojan Horse"	0.0533899
Aggie	0.0532001
joystick	0.053191
"picture postcard"	0.0531855
lawnmower	0.0531615
"dollar bill"	0.0531315
floater	0.0525977
"white person"	0.0524631
"beer bottle"	0.05206
"Sebastian Janikowski"	0.0520318
Hoch	0.0519637
firecracker	0.0519267
"studio apartment"	0.0518877
"Y chromosome"	0.0518788
rippling	0.0518103
catheter	0.0517232
projectile	0.0516883
Nuke	0.0516713
Vidro	0.0516362
harpoon	0.0515894
"five tons"	0.051375
STETSON	0.0513658
racket	0.0512817
lovefest	0.0511684
zinger	0.0510645
"car race"	0.0510631
"steam locomotive"	0.050996
brawler	0.050928
imp	0.0508336
antiseptic	0.0508139
bomblets	0.0506906
Centipede	0.0506397
"boxing glove"	0.0506393
"ball of fire"	0.0505302
shivering	0.0504585
"duffel bag"	0.0504302
putter	0.0503683
baguette	0.050309
prehistory	0.050285
"dining table"	0.0502651
pillowcase	0.0501408
carry-on	0.0499794
clunker	0.0499514
Unitas	0.0499
"garbage truck"	0.0498426
"Palm VII"	0.0495769
hobo	0.0494663
cartwheel	0.0494445
"fishing license"	0.0494005
coursing	0.0493622
"subatomic particle"	0.0493015
fallibility	0.0491869
goalpost	0.049096
"matinee idol"	0.0490877
hGH	0.0490699
"car window"	0.0489299
subwoofer	0.0489154
fief	0.0488979
"neutron bomb"	0.0488809
"hole in the ground"	0.0487461
cadaver	0.048715
pebble	0.0486369
bridegroom	0.0486112
"rescue equipment"	0.0485726
"hunting ground"	0.0485514
chopstick	0.0484897
placenta	0.0484222
"toll call"	0.0484015
sundial	0.0482417
"brain wave"	0.0481709
CPA	0.048098
armful	0.0480464
mower	0.0479006
"easy money"	0.0478492
"distress signal"	0.0478262
dagger	0.0478002
motoring	0.0476752
toxin	0.0474344
outhouse	0.0472983
"mine field"	0.0471348
masturbation	0.0471268
"business cycle"	0.0471053
"Don Juan"	0.0469654
"four lines"	0.0469479
Konerko	0.0469072
Loretta	0.0468917
"five spot"	0.046833
spinster	0.0466863
census-takers	0.0466752
"electrical device"	0.0466569
"robbery suspect"	0.0464977
"vocal cord"	0.0464968
))
("Bowling Green" (desc 2841.5) (sims
"Arkansas State"	0.108712
Evansville	0.101805
Hofstra	0.101564
Villanova	0.100399
Paducah	0.0996133
LaGrange	0.0930032
Crewe	0.091521
"Appalachian State"	0.0908141
"West Paducah"	0.0901599
Rutgers	0.0894956
"Holy Cross"	0.0894389
"UC Santa Barbara"	0.0887729
Louisville	0.0859994
UNLV	0.0852789
Iona	0.0849135
"Saint Louis"	0.0841704
Akron	0.082962
"Georgia Southern"	0.0825818
"San Jose State"	0.0809036
Fordham	0.0806194
Vanderbilt	0.079091
Kent	0.0788782
Tulane	0.0785359
"Seton Hall"	0.0778158
"Northern Arizona"	0.0778085
"Southwest Missouri State"	0.0766925
UTEP	0.0761197
Renton	0.075543
Wolfsburg	0.0748212
"Virginia Tech"	0.0739709
Kettering	0.0738583
"Long Beach State"	0.0733035
"N.C. State"	0.0721359
"Weber State"	0.0719238
Covington	0.0719165
Marquette	0.0717081
"Jackson State"	0.0713995
Samford	0.0713882
Danville	0.07122
Hawkeyes	0.0703742
"Penn State"	0.0692951
"Oklahoma State"	0.0685952
Boilermakers	0.0682497
Hillsboro	0.0681862
"Fort Campbell"	0.0677484
Georgetown	0.0670581
Jayhawks	0.067055
"Old Dominion"	0.0669798
Syracuse	0.0668287
"Ball State"	0.0660879
"San Diego State"	0.0655876
Clemson	0.0654825
Dayton	0.0650636
gopher	0.0647688
"Texas Christian"	0.0645409
Lobos	0.0644813
Lehigh	0.0637682
SMU	0.0634982
UMass	0.0630057
Starzz	0.0626801
"Washington State"	0.0625721
"Texas Tech"	0.0623911
"Utah State"	0.0619854
LSU	0.0619039
"Montana State"	0.0615122
"Shah Alam"	0.0614719
"Cincinnati Bengals"	0.0613786
"Louisiana Tech"	0.0610377
"baseball diamond"	0.0609429
Sooners	0.0608527
"Wake Forest"	0.0601962
Rattler	0.0594541
Purdue	0.0591164
"Poul-Erik Hoyer-Larsen"	0.058827
Fenton	0.0588002
Kragujevac	0.0587517
Minutemen	0.0586944
Xavier	0.0585429
"Kansas State"	0.0583055
"Mississippi State"	0.0582552
"Southern Mississippi"	0.058193
UConn	0.0581487
Wolfpack	0.0579817
Karlsson	0.0578966
MSU	0.0578708
"Boston College"	0.057838
Youngstown	0.0576569
NAU	0.0575924
Pancevo	0.0574515
Huskers	0.0572555
Buffaloes	0.0572149
Herndon	0.0571593
Alabama-Birmingham	0.05694
"Fresno State"	0.056935
bearcat	0.056885
"Chen Gang"	0.0568822
"New Mexico State"	0.0567537
Westlake	0.0566914
"L.A Lakers"	0.0566136
Colgate	0.0565249
Lexington	0.0562581
"East Carolina"	0.0561842
"Colorado State"	0.0561718
"Oak Ridge"	0.05611
Pepperdine	0.0560214
Stephenville	0.0559456
"Oregon State"	0.0557897
terrapin	0.0557087
Siena	0.055643
"North Carolina State"	0.0556414
Borges	0.0555262
UNT	0.0554967
Somerset	0.0553636
Norcross	0.0552846
Ashland	0.0548127
ou	0.0547991
Fairfield	0.0547584
Farmington	0.0546091
Cacak	0.0542763
"chicken run"	0.0542671
Illini	0.0538633
Bushehr	0.053654
Winthrop	0.0535617
Valparaiso	0.0532376
BYU	0.0531791
"Scarlet Knights"	0.0529464
"Peter Rasmussen"	0.0525942
Baylor	0.0520607
"Fort Wayne"	0.0518799
"University of Rhode Island"	0.0517172
"Arizona State"	0.0515238
gamecock	0.051088
Princeton	0.0510269
"UC Irvine"	0.0509875
"Michigan State"	0.0509556
Xenia	0.0509374
Razorback	0.0509114
Seminole	0.050864
Gonzaga	0.0508425
Bridgewater	0.0508157
"College of Charleston"	0.0508154
"Iowa State"	0.0502731
Hoosier	0.0502508
UAB	0.0502128
"Brigham Young"	0.0501351
Cal	0.0500452
Tulsa	0.0500378
Furman	0.0499836
Williamstown	0.0499216
"Georgia Tech"	0.0498524
Providence	0.0497904
"St. Bonaventure"	0.0497345
"Southern Cal"	0.0496138
Unh	0.0494204
"McNeese State"	0.049413
"Warren County"	0.0493294
Vols	0.0492408
outhit	0.0490367
Dunkirk	0.0489847
Cornhusker	0.0487547
badger	0.0487425
Puebla	0.0485791
Ghent	0.0485176
lumberjack	0.0482848
OSU	0.0482794
flint	0.0481359
"Ong Ewe Hock"	0.048107
"Indianapolis Colts"	0.0477903
UA	0.0477797
FSU	0.0476857
TCU	0.0475762
"Long Island City"	0.047572
"Jorgen Persson"	0.0474355
Saginaw	0.0470942
RedHawks	0.0468666
DePaul	0.046494
"Eastern Washington"	0.0464669
"Oakland Raiders"	0.0463437
"Los Angeles Galaxy"	0.0462412
Waltham	0.0462233
"Red Storm"	0.0460592
Dartmouth	0.046029
Supersonics	0.0458788
"Fighting Irish"	0.0457853
fulltime	0.0457708
"Idaho State"	0.0457262
"St. Francis"	0.0453662
"Wang Chen"	0.045224
outshot	0.0451446
Gadsden	0.0447782
Mansfield	0.0447091
Hendrawan	0.0446321
Waterford	0.0443287
Wolverine	0.0439215
"Louisiana State"	0.0437464
"Jacksonville Jaguars"	0.0436607
"Ma Lin"	0.0436333
Lafayette	0.0435719
Hoya	0.0435294
Smyrna	0.0434744
))
(bowls (desc 16049.6) (sims
bowl	0.14618
vase	0.108189
jar	0.10768
dish	0.102966
pot	0.100044
kettle	0.0943139
platter	0.0912742
urn	0.089714
tray	0.0887213
ramekins	0.0850299
vas	0.0846435
plate	0.0813057
teapot	0.0811541
Casserole	0.0782772
cup	0.0730504
Spoon	0.0725698
"serving dish"	0.0725047
container	0.0723398
Pottery	0.0714489
saucepan	0.0711269
figurine	0.0691221
saucer	0.0687261
utensil	0.0686894
carafe	0.0678567
ornament	0.0667271
pan	0.0663836
salad	0.0661773
jug	0.0659728
ware	0.0654558
bucket	0.0622066
flask	0.0620589
glass	0.0619581
Goblet	0.0619237
silverware	0.0586226
cutlery	0.0584897
"coffee cup"	0.0579097
lantern	0.0576122
jewelry	0.0565284
basket	0.0561823
bottle	0.0560847
bag	0.0554945
tile	0.055364
lamp	0.0548767
"dinner plate"	0.0544993
tableware	0.0541532
cake	0.0541153
coffin	0.0537957
spoonful	0.0532279
sculpture	0.0530593
fork	0.0524609
tumbler	0.0523538
furniture	0.0518395
"water bottle"	0.0516838
strainer	0.0513596
napkin	0.0507008
tub	0.0505905
skillet	0.050525
soup	0.05045
candlestick	0.0500924
amulet	0.0500358
"picture frame"	0.0495211
statue	0.0494293
ceramic	0.0490414
cooker	0.0489987
serving	0.0488651
"shopping bag"	0.0487932
"mixing bowl"	0.0482229
dessert	0.0478588
Tin	0.0475741
chopstick	0.046684
crate	0.0466663
kiln	0.0465793
pail	0.0465324
mug	0.0464295
noodle	0.0462138
bread	0.0460948
statuette	0.0458005
handbag	0.04575
basin	0.0453769
armchair	0.0450254
carving	0.0449797
quart	0.0447511
"dining table"	0.0446
"Dutch oven"	0.0445532
stool	0.0444127
flatware	0.0441146
mixture	0.0441038
pasta	0.0437414
planter	0.043688
Coin	0.043602
earthenware	0.0433915
jade	0.0433706
bracelet	0.042861
Garnish	0.0423626
cube	0.0421858
candle	0.0421526
"side dish"	0.042137
sauce	0.0420783
drawer	0.0416783
bead	0.0416121
burner	0.0415109
crucifix	0.0414923
paperweight	0.0413847
Santas	0.0410285
stew	0.0408813
Casket	0.0407259
Pudding	0.0406845
"whipped cream"	0.040676
stove	0.0402526
kitchenware	0.0401076
sandwich	0.0400322
))
(Bowman (desc 6221.32) (sims
"Scotty Bowman"	0.10077
Fassel	0.0949855
Harrick	0.0933434
Krzyzewski	0.0917174
Slocum	0.0913989
Berenson	0.0907731
Zimmer	0.0894646
Vermeil	0.0875103
Schmidt	0.0855584
Dierker	0.0849154
Monson	0.0847009
Skiles	0.0844385
Martz	0.084431
Valenzuela	0.0837437
Olson	0.0833523
Milutinovic	0.0832603
Neilson	0.0826272
Bowden	0.0820074
Holmgren	0.0819005
Blackman	0.0817477
Leyland	0.0813857
Irvan	0.0810945
Rosenthal	0.0810556
Zenga	0.0806432
Rambis	0.079864
Molinari	0.0797531
O'Connell	0.0795456
Carroll	0.0792769
beamer	0.0791356
Peters	0.0789451
Kearin	0.0788839
Betts	0.0778968
Fulmer	0.077291
Tomjanovich	0.0769568
Ripken	0.0769512
Landry	0.0767262
Calhoun	0.0765278
Heinrichs	0.0764665
Snyder	0.0764288
Torre	0.0763935
Johnston	0.0763572
Daniels	0.0762462
Mcbride	0.0761144
Sampson	0.0758959
Andreychuk	0.075077
McDonnell	0.0745851
Barnett	0.0741653
McGinnis	0.0739361
Wilkens	0.0737635
Wannstedt	0.0737374
Eizenstat	0.0734578
Reid	0.0733642
Schmid	0.0732679
Bodine	0.0731354
Rongen	0.0730433
Zuckerman	0.0730386
Tomey	0.0728626
Nelson	0.0727889
McMahon	0.0724663
Weis	0.0724629
Rahal	0.0723935
Spurrier	0.072369
Garnett	0.0723393
Drexler	0.072322
Woodard	0.0720696
Talebi	0.0720034
Jaffe	0.0715885
Guthridge	0.0715789
Reeves	0.0714872
Goldstein	0.0712959
Riley	0.0712362
Robison	0.071102
Leach	0.0709763
Mann	0.0709095
Donahue	0.070856
Hoffman	0.0707041
Matthews	0.0701273
Davidson	0.0699469
Manuel	0.0697219
Gretzky	0.0697049
Maradona	0.0696988
Billick	0.0695715
Appleby	0.0694176
Hagen	0.0694045
Griffiths	0.0693338
Gardner	0.0692864
Waddell	0.0692861
Gomez	0.0690389
Hartley	0.0689332
Walsh	0.0688839
Hanna	0.0687919
Oliveira	0.0686313
Ferguson	0.0685471
Cashman	0.0685367
Shearer	0.0684055
Ramsey	0.0683907
Coleman	0.0683789
Redgrave	0.068348
xu	0.0683386
"John Paul"	0.0683332
Chaney	0.0682336
Hardy	0.0681182
Jarvis	0.0681171
Laudrup	0.0680954
Munoz	0.0680777
Romar	0.0680654
Copeland	0.0679044
Dungy	0.0678792
Rossotti	0.0677731
drake	0.0676053
Smyers	0.0675993
Moore	0.0674221
Lindros	0.0674165
POLK	0.067356
Schottenheimer	0.0669836
Jacquet	0.0668161
Troussier	0.0667673
Greenwald	0.0666597
Casey	0.0665419
Goldin	0.0664018
Haley	0.0663426
Popovich	0.0663383
Gailey	0.0663353
Welch	0.0662608
Mitchell	0.0662428
McCartney	0.0662215
Nichols	0.0661499
Layden	0.0661369
Lasorda	0.0661097
McDonald	0.0660936
Nicklaus	0.0660528
Passarella	0.0660522
Spielberg	0.0659517
Robinson	0.0658152
Dowd	0.06581
Atler	0.0657733
Vogel	0.0656806
Holmes	0.0656418
Fleischer	0.0655548
Brister	0.0655215
Tobin	0.0655029
Ainge	0.0654918
Petersen	0.0654847
Silas	0.065434
Vogts	0.0654267
Blatter	0.065404
Wilkerson	0.0653585
Tagliabue	0.0653513
Whipple	0.0653444
Briscoe	0.0653244
Lowry	0.0652082
Alderson	0.0650202
Reese	0.0649864
Messier	0.0649658
Soto	0.0648673
Stayner	0.0648673
Sherman	0.064845
Soyinka	0.0647507
Crenshaw	0.0646815
LU	0.0646495
Shulman	0.064359
Ponciano	0.0642371
leeson	0.0642283
Patterson	0.0641812
Hitchcock	0.0641223
Saunders	0.0641019
Parcells	0.0640682
Duquette	0.0639708
Niedermayer	0.0638886
fisher	0.0637932
Skakel	0.0637806
FitzPatrick	0.0637801
Evans	0.0637786
DONOVAN	0.0637327
Zambrano	0.0637159
Cleary	0.0637094
Crawford	0.0636909
Lopez	0.0636598
Chung	0.0636592
Reyes	0.0635935
Brock	0.0635933
Marineau	0.0635699
Daly	0.0634438
Henley	0.0634383
Tuberville	0.063432
Vasquez	0.0633967
Olajuwon	0.0633413
Swann	0.0633378
Wong	0.063336
Akers	0.0632957
Lavin	0.0632522
Clarke	0.0631724
Satcher	0.0631645
Coughlin	0.0630633
Donohue	0.0630446
Hewitt	0.0630405
Mahoney	0.0630236
Sims	0.063002
Mack	0.0629839
Kuehne	0.0628756
))
(box (desc 160797) (sims
bag	0.188549
container	0.150865
bottle	0.13314
jar	0.128787
carton	0.127142
suitcase	0.126777
crate	0.114656
tray	0.111276
room	0.108453
machine	0.108367
envelope	0.107839
piece	0.107481
drawer	0.104931
Computer	0.104654
card	0.104419
chair	0.103176
pot	0.103134
car	0.103055
device	0.102685
sheet	0.102347
window	0.0987594
briefcase	0.0986691
furniture	0.0986242
screen	0.0978682
Bin	0.0975659
cloth	0.09608
pile	0.0953821
package	0.0952029
glass	0.0949065
item	0.0944246
trunk	0.0942725
truck	0.0942557
backpack	0.0941671
camera	0.0940858
table	0.0935842
bed	0.0929814
refrigerator	0.0925753
shoe	0.0920375
bowl	0.0913058
bucket	0.0911993
tent	0.0901532
can	0.089855
page	0.0895887
toy	0.0892418
plate	0.088795
bar	0.0884104
wall	0.0883263
book	0.0883042
pack	0.0882134
phone	0.0880872
pocket	0.0878238
dish	0.0877181
file	0.0876801
folder	0.0874753
closet	0.087202
shelf	0.0870393
rack	0.0869026
"television set"	0.0867541
appliance	0.0866683
tube	0.0865435
packet	0.0864642
coffin	0.0859606
sack	0.0856144
basket	0.0855425
T-shirt	0.0855366
suite	0.0853695
frame	0.0848983
seat	0.0845376
stack	0.0844851
kit	0.0842335
cage	0.0840711
paper	0.084012
desk	0.0834508
building	0.0833947
PC	0.0833796
luggage	0.0826905
door	0.0826442
copy	0.0826097
store	0.0824936
poster	0.0824819
equipment	0.082429
booth	0.0820919
"personal computer"	0.0820713
house	0.0816156
button	0.0815212
tank	0.0811388
laptop	0.0805707
trailer	0.0803879
shirt	0.0799133
vehicle	0.0798258
Warehouse	0.0794037
apartment	0.0793755
vase	0.0791776
mattress	0.079091
locker	0.0790266
CD	0.0789901
"shopping bag"	0.078568
plastic	0.0784149
tape	0.0780801
space	0.0778109
Clothing	0.0774353
product	0.076794
line	0.0766824
shop	0.076521
pen	0.0762669
kitchen	0.0762187
recorder	0.0760153
pipe	0.0759029
collection	0.0754314
lamp	0.0752029
van	0.0751326
cup	0.0751136
software	0.0750418
wallet	0.0749089
cooler	0.0747952
blanket	0.0747845
set	0.0747565
uniform	0.074714
doll	0.0745938
picture	0.0742427
"laptop computer"	0.0742317
jug	0.0739103
server	0.0738596
Casket	0.0736423
Shell	0.0736041
tile	0.0735483
cover	0.0735204
jacket	0.0735091
compartment	0.0735009
monitor	0.0733088
mailbox	0.0732814
disk	0.0732047
dress	0.0731953
menu	0.0731255
bedroom	0.0731247
Tin	0.0728565
tub	0.0727869
chip	0.0727111
tree	0.0726487
hat	0.0725688
object	0.0725609
Coin	0.0725234
gun	0.0724158
video	0.0723459
jewelry	0.0723167
photograph	0.0723099
notebook	0.0722337
version	0.0719425
pad	0.0718357
photo	0.0718104
printer	0.0715664
material	0.0714993
pillow	0.0713738
ring	0.0713097
system	0.0712287
"tv set"	0.0709157
model	0.0709048
flower	0.0706017
block	0.0702942
catalog	0.0702372
candle	0.0700555
list	0.0699527
canister	0.0698856
floor	0.069833
modem	0.0696875
TV	0.0696387
ball	0.0695847
map	0.0695635
helmet	0.0695388
ticket	0.0694046
pan	0.0693671
food	0.0691192
wire	0.0691013
painting	0.0690786
bathroom	0.0690609
pit	0.0690296
log	0.068794
boat	0.068721
console	0.068696
cubicle	0.0685212
keyboard	0.0682522
Tower	0.0681785
toilet	0.0679891
gadget	0.0679297
"trash can"	0.0678036
brick	0.0674237
bus	0.0673117
sculpture	0.0672807
gear	0.067255
corner	0.0670543
display	0.0669602
roof	0.0669588
restaurant	0.0669496
layer	0.066736
hole	0.0666088
home	0.0664746
plaque	0.066391
letter	0.0662982
print	0.0662135
cell	0.0661548
))
("Box @@@@" (desc 2249.76) (sims
"P.O Box @@@@"	0.259931
"Hearst Newspapers"	0.174253
"Los Angeles Daily News"	0.149845
Tex	0.0732113
H@	0.0533872
"Cox News Service"	0.0517678
Bloomfield	0.0492244
"personal letter"	0.0462674
"Seattle Post-Intelligencer"	0.0448233
Amarillo	0.0410817
Millar	0.0400305
))
("box office" (desc 31496.3) (sims
multiplex	0.0980601
Gross	0.0932484
theater	0.0695548
rating	0.063988
attendance	0.0605886
third-quarter	0.059637
blockbuster	0.0585087
second-quarter	0.0550611
"Cannes Film Festival"	0.0540634
earnings	0.0534015
"retail sale"	0.0531965
"Phantom Menace"	0.0524116
revenue	0.0503367
viewership	0.0500157
ridership	0.0496435
sales	0.0488184
"vehicle sale"	0.0485804
Masters	0.0484904
"Sundance Film Festival"	0.0483212
Wimbledon	0.0476442
Sundance	0.0472894
profit	0.0466901
"export sale"	0.0461431
top-@@	0.0459163
marquee	0.0456322
retail	0.0454135
auction	0.0453112
"department store"	0.0448273
"home sale"	0.0445547
postseason	0.0442868
payroll	0.043944
gate	0.0437778
"U.S. Open"	0.0437252
"French Open"	0.0436356
"World Cup"	0.0436237
"movie theater"	0.0430805
bookstore	0.0422529
"market share"	0.0418918
"No. @"	0.041858
"grocery store"	0.0417261
"US Open"	0.0415084
jackpot	0.0414324
turnout	0.0411606
booking	0.0411253
festival	0.0411116
"stock market"	0.0406263
receipt	0.0405741
Olympics	0.040535
"post office"	0.0402218
))
("box seat" (desc 4600.76) (sims
Grandstand	0.113183
co-payment	0.0974681
bleachers	0.0972516
"round-trip ticket"	0.0835799
"season ticket"	0.0797812
seating	0.0770693
skyboxes	0.0753557
suite	0.0751495
parking	0.0730071
"press box"	0.0705806
"admission price"	0.0676659
"round trip"	0.0645019
mil	0.064236
"easy chair"	0.0635329
"lawn chair"	0.0630349
subscription	0.0623074
pew	0.061847
balcony	0.0579199
skybox	0.0577884
"entrance fee"	0.056749
"hotel room"	0.0555924
"hot seat"	0.0551048
"admission fee"	0.0543226
"folding chair"	0.0528471
"parking space"	0.0525881
cubicle	0.0520152
lodging	0.0516894
haircut	0.0510083
"upper deck"	0.051007
recliner	0.0508481
rental	0.0508429
"holding cell"	0.0503857
"vacant lot"	0.0499558
"hospital room"	0.0498923
"theater ticket"	0.0491187
terrace	0.0480731
ornithologist	0.0477855
filers	0.0475392
foxhole	0.0475101
condo	0.0473658
Skoda	0.0473216
"service charge"	0.0470008
"local call"	0.0467681
co-payments	0.046432
pint	0.0457639
signage	0.0457584
mezzanine	0.0456675
occupancy	0.045196
armchair	0.0449491
"live oak"	0.0446123
six-pack	0.0445409
"football stadium"	0.0444654
pantyhose	0.0444315
"first class"	0.0442187
"flat tire"	0.0441782
"hockey coach"	0.04401
townhouses	0.0437984
"fishing license"	0.0437401
"car seat"	0.0436926
motoring	0.0433131
gallon	0.0431188
condominium	0.0430437
"bus ticket"	0.0429845
locker	0.0427618
airfare	0.0424504
"garbage can"	0.0419744
postage	0.0419513
sauna	0.0419391
"loaf of bread"	0.0418542
"Donn Handicap"	0.0417778
playpen	0.0413988
paperback	0.0412596
"apartment house"	0.0409247
"hot dog"	0.0402114
shanty	0.0401248
flagpole	0.0400238
))
(boxcar (desc 1900.17) (sims
"freight car"	0.162195
trestle	0.115431
"cargo container"	0.0891052
"railway car"	0.088189
"rolling stock"	0.087194
carriage	0.0715254
"tractor trailer"	0.0709532
"right of way"	0.0703266
SNCF	0.0698085
viaduct	0.0657052
vaudevillian	0.0644295
Stonehenge	0.0627382
"space capsule"	0.0616758
"freight train"	0.0616452
freight	0.0607566
underpass	0.0598303
"passenger car"	0.0561448
"soda can"	0.0560078
cannonball	0.0542547
Barrio	0.0535496
"Honda Civic"	0.0532236
"screen door"	0.0530657
"street sign"	0.0526578
Buss	0.052513
"Ford Expedition"	0.0510046
tugboat	0.0494254
"police state"	0.0492036
"flying saucer"	0.0490543
"ping-pong ball"	0.0489258
"milk cow"	0.0487885
abattoir	0.0487711
"railroad car"	0.0477116
"chicken coop"	0.0475494
"blue whale"	0.0475379
"shower stall"	0.0467643
"school bus"	0.0460588
"warm front"	0.0459741
"moving van"	0.0457532
"Liberty Bell"	0.0455177
"Tyrannosaurus rex"	0.044989
crate	0.0449378
sleigh	0.044665
consignment	0.0446433
"merchant ship"	0.0444404
"pirate ship"	0.0444115
mule	0.0442675
know-it-all	0.0440033
semitrailer	0.0435654
"paper bag"	0.0433321
"Volkswagen Beetle"	0.04331
Centipede	0.0428451
playpen	0.0424918
lorry	0.0424602
stoker	0.0423635
submersible	0.0423275
"body bag"	0.0422533
"dump truck"	0.0420943
hostel	0.0416294
"garbage can"	0.0416221
geeky	0.0412132
"wedding cake"	0.0406885
retread	0.0403901
"golf cart"	0.0401674
Mayflower	0.0400076
))
(boxer (desc 46213.6) (sims
fighter	0.108996
swimmer	0.108079
athlete	0.106758
weightlifter	0.100427
wrestler	0.0987232
Tyson	0.0969466
heavyweight	0.0964394
gymnast	0.0898513
cyclist	0.0883375
champion	0.0875518
skater	0.0858642
musician	0.0855533
"football player"	0.0848263
golfer	0.0846085
"Mike Tyson"	0.0838484
"basketball player"	0.082996
sprinter	0.0827364
racer	0.0809158
Holyfield	0.0802277
player	0.0799601
"baseball player"	0.0788616
contender	0.0786091
"hockey player"	0.0781797
"tennis player"	0.0778233
rider	0.0770395
"De La Hoya"	0.0758625
boxing	0.0758199
lifter	0.0753267
skier	0.0746481
man	0.0739774
artist	0.0735665
"Barbara Boxer"	0.0729503
champ	0.0726593
"volleyball player"	0.0725187
violinist	0.0722532
pianist	0.0721314
runner	0.0717846
welterweight	0.0716536
performer	0.0715214
footballer	0.0711168
singer	0.0711084
dancer	0.0707399
senator	0.0706281
actor	0.0703431
politician	0.0701444
Amateur	0.070124
"chess player"	0.0700011
bodybuilder	0.0696495
woman	0.068792
"Muhammad Ali"	0.0687084
diver	0.0684673
Bradley	0.0683553
"Evander Holyfield"	0.0679385
"Lennox Lewis"	0.0673904
sailor	0.0668733
businessman	0.0667752
"movie star"	0.0666661
fencer	0.0664361
climber	0.0662453
McCain	0.0661452
jockey	0.0658246
promoter	0.0655402
trainer	0.0654771
journalist	0.0652332
rower	0.0651745
Botha	0.0649943
photographer	0.0646403
doctor	0.06464
warrior	0.0645925
Olympian	0.0645836
teen-ager	0.0645101
writer	0.0643267
guy	0.0641294
gore	0.0641216
driver	0.0640513
Bush	0.0640352
Lewis	0.0637621
actress	0.0636701
Democrat	0.0636166
teacher	0.0632317
pitcher	0.0631702
shuttlers	0.0630913
novelist	0.0630358
filmmaker	0.0629676
veteran	0.0626591
Feinstein	0.0626523
poet	0.0625679
ballplayer	0.062288
composer	0.0622398
entertainer	0.0622299
"young man"	0.0619474
painter	0.0616915
person	0.0616665
soldier	0.061599
"first lady"	0.0613164
boy	0.0613
horse	0.061296
hero	0.0611054
girl	0.0610379
Republican	0.0607384
pilot	0.0605624
inmate	0.0602553
"major leaguer"	0.0602278
referee	0.0596491
nurse	0.0591247
worker	0.0587259
lawyer	0.0585398
surgeon	0.0583838
candidate	0.0583634
fisherman	0.0582051
Ali	0.0582037
banker	0.058101
Chavez	0.0580291
student	0.057648
Governor	0.057576
marathoner	0.0575757
"naval officer"	0.0574745
astronaut	0.0574379
"Oscar De La Hoya"	0.0572108
physician	0.057006
opponent	0.0569907
someone	0.0569112
chef	0.05691
Archer	0.0568687
star	0.0566765
"vice president"	0.0566163
Labastida	0.0566127
father	0.056604
kid	0.0565772
shooter	0.0565748
mobster	0.0564013
architect	0.0560357
contestant	0.0559177
entrepreneur	0.055882
manager	0.0558264
Mayor	0.0557215
"George Foreman"	0.0556702
Trinidad	0.0554876
defendant	0.0553997
goalie	0.0551174
D'Amato	0.0550509
Congressman	0.054929
citizen	0.0548969
scientist	0.0548387
choreographer	0.0547431
priest	0.054732
"John McCain"	0.0547081
quarterback	0.0546694
"black man"	0.0546307
professional	0.0546146
Playwright	0.0544696
designer	0.0544555
comedian	0.0544224
businessmen	0.0544115
stockbroker	0.0543592
American	0.0541623
Schumer	0.0541457
"Bill Bradley"	0.0541336
"disc jockey"	0.0541045
"army officer"	0.0540829
farmer	0.0540607
competitor	0.0540587
preacher	0.0540482
academic	0.0539856
king	0.0539014
"Julio Cesar Chavez"	0.0538697
lawmaker	0.0538416
diplomat	0.0538403
bartender	0.0536871
hurdler	0.0536826
Australian	0.0535489
detective	0.0531925
Hunter	0.0531752
participant	0.0531374
Brazilian	0.0531234
Giuliani	0.0530312
cleric	0.053006
Spaniard	0.0529726
Moynihan	0.0528458
debater	0.0527988
"ballet dancer"	0.0527143
"young woman"	0.052508
superstar	0.0523707
outfielder	0.0521686
author	0.0521145
activist	0.0520667
Cop	0.0519489
surfer	0.0519024
volunteer	0.0518901
Clinton	0.0518395
challenger	0.0517475
educator	0.0516842
policeman	0.0516703
Jones	0.0516564
incumbent	0.0516466
"football team"	0.0515986
broadcaster	0.051597
songwriter	0.0515917
housewife	0.0515342
"football coach"	0.0514631
))
(boxing (desc 46055.6) (sims
judo	0.208559
weightlifting	0.206129
volleyball	0.200311
Gymnastics	0.196086
cycling	0.1959
soccer	0.191355
"table tennis"	0.189693
wrestling	0.189075
tennis	0.188159
archery	0.18724
basketball	0.184259
badminton	0.183845
taekwondo	0.180429
"water polo"	0.176775
swimming	0.176726
"track and field"	0.175175
rowing	0.173588
golf	0.171802
sport	0.170267
hockey	0.168968
karate	0.168715
baseball	0.167591
football	0.163009
"field hockey"	0.151165
athletics	0.149096
softball	0.147621
handball	0.147412
Racing	0.138733
"figure skating"	0.133189
triathlon	0.131792
fencing	0.131759
Yachting	0.128813
Wushu	0.128319
"horse racing"	0.127967
Bowling	0.12606
Rugby	0.123976
pentathlon	0.123415
diving	0.113004
lacrosse	0.110587
takraw	0.108337
Skating	0.105575
snooker	0.103504
equestrian	0.102963
billiards	0.10258
chess	0.101287
"ice hockey"	0.0995718
skiing	0.0985236
NBA	0.0970718
cricket	0.096153
coaching	0.0909088
NFL	0.0886923
bodybuilding	0.0864547
politics	0.0849662
"professional football"	0.0841969
NHL	0.0804035
"martial art"	0.0796774
squash	0.0795977
Olympics	0.0786195
"show business"	0.0774536
boxer	0.0758199
"country music"	0.0747586
NASCAR	0.0724426
dance	0.0720166
music	0.0710768
"professional basketball"	0.0705362
profession	0.0704979
competition	0.07037
publishing	0.0702453
Hollywood	0.0697003
aerobics	0.0689419
men's	0.0682152
league	0.067971
Journalism	0.0675301
Entertainment	0.0674391
surfing	0.0673163
"horseback riding"	0.0669669
fishing	0.0668823
"National Football League"	0.0668511
Motorsports	0.0665023
gambling	0.0661483
gardening	0.0651547
art	0.0647039
event	0.0646345
"National Basketball Association"	0.0644694
"professional baseball"	0.0640719
marathon	0.0631989
golfing	0.0630315
writing	0.0628937
Jazz	0.0626992
fashion	0.0626709
"pop music"	0.0622543
"World Cup"	0.0622267
television	0.0621193
dressage	0.0617719
boating	0.0616161
"rock 'n' roll"	0.0613216
dancing	0.0604622
"musical theater"	0.0603935
Gaming	0.0602975
broadcasting	0.0602332
sailing	0.0599695
Polo	0.0599628
shooting	0.0598811
rodeo	0.0595652
theater	0.0585611
banking	0.0583729
ballet	0.0581143
movie	0.0576723
yoga	0.0576236
tournament	0.0576014
"match play"	0.0572884
"Commonwealth Games"	0.057047
programming	0.0567606
industry	0.0567599
opera	0.0565564
"Fed Cup"	0.0561974
"securities industry"	0.0558728
literature	0.0555591
"professional wrestling"	0.0555241
science	0.0553231
IRL	0.0553154
teaching	0.0553123
hoop	0.0552836
"Winston Cup"	0.0552236
culture	0.0551265
WNBA	0.0549955
WBC	0.0548746
championship	0.0543432
poetry	0.0540268
"shot put"	0.0539933
hunting	0.0539746
aviation	0.0537452
"Big East"	0.0536004
"Ryder Cup"	0.0533375
cinema	0.0533212
TV	0.0531439
"classical music"	0.0531348
architecture	0.0530777
America	0.0529714
"long jump"	0.0526306
career	0.0525298
"cross country"	0.0524601
society	0.0522055
religion	0.0519342
decathlon	0.0518083
photography	0.0515614
genre	0.0513111
IBF	0.0512325
heavyweight	0.0512302
"Davis Cup"	0.0512032
LPGA	0.0510442
welterweight	0.0509939
WBA	0.0508893
"U.S. Open"	0.0508341
"National Hockey League"	0.0507583
"Super Bowl"	0.0506117
comedy	0.0502401
"football team"	0.050157
ring	0.049745
athlete	0.0495666
"law enforcement"	0.0495274
poker	0.0494888
"pole vault"	0.049287
"high jump"	0.0491756
Heptathlon	0.0491605
commerce	0.0490553
sex	0.0490096
"basketball league"	0.0488832
"New York"	0.0488676
cooking	0.0488601
"Republican Party"	0.0487914
"little league"	0.048754
arena	0.0483647
"popular music"	0.0480562
Wimbledon	0.0478932
shopping	0.0474517
class	0.0473146
education	0.0471938
"real life"	0.0470694
NCAA	0.0470144
economics	0.0469614
"health care"	0.0469492
"Asian Games"	0.046912
"major league"	0.0468969
Buddhism	0.0468632
playing	0.0467249
retailing	0.0466469
final	0.0464896
astronomy	0.0463388
"higher education"	0.0461938
fiction	0.046128
fitness	0.0460499
pitching	0.0458915
College	0.045846
freestyle	0.0457607
franchise	0.0457499
Tyson	0.0457357
Internet	0.0455078
math	0.0454417
"basketball team"	0.0454333
))
("boxing glove" (desc 1209.17) (sims
blinder	0.230898
blinker	0.158427
"life vest"	0.153453
"cowboy hat"	0.148573
"running shoe"	0.143653
earphone	0.13543
yarmulke	0.13309
G-string	0.132049
"wedding ring"	0.132047
"cowboy boot"	0.13203
underpants	0.129887
panty	0.129771
"hard hat"	0.123555
"prayer shawl"	0.123459
"rubber boot"	0.122967
"bowler hat"	0.122494
tights	0.122017
"life jacket"	0.121506
"dress uniform"	0.113234
bandanna	0.112836
knickers	0.112761
suspender	0.111971
pantyhose	0.11117
windbreaker	0.111052
tux	0.110898
headphone	0.110199
wader	0.109617
wristband	0.108322
armband	0.107805
"oxygen mask"	0.107578
skullcap	0.106644
cleat	0.106563
sunglasses	0.10571
bandana	0.105245
pliers	0.104391
"feather boa"	0.103965
"body armor"	0.103893
blackface	0.103761
"tennis shoe"	0.103323
"bow tie"	0.102899
"baseball cap"	0.102064
"mink coat"	0.101692
goggles	0.0999694
"name tag"	0.0998047
pajama	0.0990633
miniskirt	0.0975874
"paper cup"	0.0975805
"ski mask"	0.097537
slipper	0.0975184
overcoat	0.0974769
caftan	0.0967639
"shoulder pad"	0.0962363
slicker	0.0956656
"life preserver"	0.0953351
loafer	0.0951112
"top hat"	0.0945032
fedora	0.094046
bustier	0.0938559
raincoat	0.0937604
nightgown	0.0932672
"straw hat"	0.0932055
loincloth	0.0923745
STETSON	0.0922775
mitt	0.0921033
"bathing suit"	0.0915948
stiletto	0.0915648
lampshade	0.0915241
chap	0.0910876
"wedding dress"	0.0909297
snowshoes	0.0902198
bellbottoms	0.0901182
headband	0.0890663
"neck brace"	0.0890248
stocking	0.0889847
"face mask"	0.0889112
"Honda Civic"	0.0882058
turban	0.0878698
mascara	0.0869034
"combat boot"	0.0865404
"mushroom cloud"	0.0863242
eyeglass	0.0862607
toupee	0.0859614
brassiere	0.0857087
"roller skate"	0.0855888
beret	0.0853463
sneaker	0.0853224
"a few pounds"	0.0852947
"contact lense"	0.0844341
earpiece	0.0843817
waistcoat	0.0842698
miniskirts	0.0841011
earring	0.0837541
"sport shirt"	0.0835924
dreadlocks	0.0832722
apron	0.0832337
necktie	0.083028
capris	0.082863
"stiletto heel"	0.0827381
"cocktail dress"	0.0826799
gunk	0.0818315
coverall	0.0816796
"baseball glove"	0.0816721
scissors	0.0815329
bodysuit	0.0813701
poodle	0.0813461
jumpsuit	0.0807125
"trench coat"	0.0804795
"bulletproof vest"	0.0804038
parka	0.0802856
knapsack	0.0801672
mitten	0.0799863
headgear	0.0785786
"polo shirt"	0.0784341
eyeliner	0.0781353
tiara	0.0776035
skates	0.0769889
carnation	0.0769267
spacesuit	0.0766104
"blue jean"	0.0764478
wig	0.0761065
sandal	0.0760677
Speedo	0.07596
peregrine	0.0756873
bathrobe	0.0755838
gloves	0.0753138
"military uniform"	0.0752816
prosthesis	0.0752598
goatee	0.0751271
"nail polish"	0.074492
sweatshirt	0.0739726
trouser	0.0737441
shoelace	0.0734714
pinstripes	0.0734246
smock	0.0733809
Gibbon	0.0732486
crucifix	0.0731826
cardigan	0.0724848
halter	0.0722947
Thong	0.0722481
"leather jacket"	0.0718463
undershirt	0.0716062
swimsuit	0.0713497
underwear	0.0711099
satchel	0.071002
"fishing net"	0.0706639
undergarment	0.0705193
parasol	0.0701537
"food coloring"	0.069764
Bonnet	0.0696641
tuxedo	0.0694675
"business suit"	0.0694534
"dark glasses"	0.06895
"evening gown"	0.0686648
"prayer book"	0.0684161
Sari	0.0682954
"evening bag"	0.0681357
decal	0.0680389
"electrical device"	0.0680323
Fez	0.0680026
"felt hat"	0.0678814
bracelet	0.0672137
corduroy	0.0671265
hand-me-down	0.0669213
bodysuits	0.0665725
beany	0.0663992
"speeding ticket"	0.066314
pantsuit	0.0661405
"Star of David"	0.0657859
headdress	0.0656738
"piece of cloth"	0.0655569
"shock absorber"	0.0654903
visor	0.0653029
leotards	0.0650755
lollipop	0.0650184
"pants suit"	0.0649944
Sash	0.0648252
woodpecker	0.0646481
trespasser	0.0645617
kettle	0.0645584
hosiery	0.0645255
bra	0.06424
dachshund	0.0638268
parachutist	0.063757
headset	0.0635454
earplugs	0.0632881
"little leaguer"	0.0631214
clothesline	0.0630272
mustache	0.0623184
linoleum	0.0622914
handcuffs	0.0616037
toolbox	0.0615439
"yellow flag"	0.0615279
ass	0.0614872
eyelash	0.0612742
"wedding gown"	0.0612631
"dog tag"	0.0608486
stethoscope	0.0608373
garb	0.0607887
"Ford Mustang"	0.0607429
Webdale	0.0607153
))
("boxing match" (desc 3741.07) (sims
"horse race"	0.0837097
bout	0.0820214
"hockey game"	0.0818494
"basketball game"	0.076689
bullfight	0.0703852
"wrestling match"	0.0695457
"baseball game"	0.067718
"Oliver McCall"	0.0646402
"Andrew Golota"	0.0634503
rematch	0.0617039
slugfest	0.0608791
Paralympics	0.0580918
"prayer meeting"	0.0579835
"fish fry"	0.0570433
"track meet"	0.0541443
"Summer Olympic Games"	0.0537851
"social activity"	0.0531673
"Henry Akinwande"	0.052982
"Michael Grant"	0.0510293
"fatal accident"	0.0509175
"news event"	0.0505922
"playoff game"	0.0503057
"Oba Carr"	0.0492887
occult	0.048652
nonevent	0.0479868
pageant	0.0478408
"boat race"	0.0474062
fisticuffs	0.0472649
festivity	0.0465121
"Julius Francis"	0.0464956
"Phoenix Open"	0.0464587
"U.S. Opens"	0.0463895
"Passion play"	0.0462817
doubleheader	0.0462176
"triple play"	0.0458797
fundraisers	0.0457914
confab	0.0456989
Olympiad	0.0454502
get-togethers	0.0453772
"town meeting"	0.045228
"margin call"	0.044859
"mass murder"	0.0446608
"prayer service"	0.0445138
rodeo	0.0444792
"Frank Bruno"	0.0443094
dogfight	0.0439397
"meteor shower"	0.0439179
"three-day event"	0.0438482
mismatch	0.0437994
"swimming event"	0.0437234
"crisis situation"	0.0435106
"ball game"	0.0435055
regionals	0.0429987
"Buster Douglas"	0.0429882
"Summer Olympics"	0.0428525
"Shannon Briggs"	0.042839
"basketball league"	0.0425192
"car race"	0.0424361
"white elephant"	0.0421396
"cocktail party"	0.0417275
"NEC Invitational"	0.041683
scrum	0.0415851
firefights	0.04132
"split decision"	0.0410483
hotel-casino	0.0409057
"rock concert"	0.0407701
"All-Star Game"	0.0407573
"piece of work"	0.040748
"International AIDS Conference"	0.0406689
"night game"	0.040332
"Confederations Cup"	0.0403005
"war game"	0.040231
regatta	0.0401441
lacrosse	0.0400892
))
("boxing ring" (desc 2038.86) (sims
"voting booth"	0.0858525
"batter's box"	0.0852002
"danger zone"	0.070594
"winner's circle"	0.0655904
"Texas Air National Guard"	0.0651877
"Victory Lane"	0.0578328
"line of business"	0.0548835
Bloemfontein	0.0526798
"political arena"	0.0518681
"eighth grade"	0.0511499
"batting cage"	0.0494602
nunnery	0.0486687
"starting gate"	0.0477047
"Chase Championships"	0.0474141
snit	0.0463364
"Balkan state"	0.0456197
ballgame	0.0449107
"outer space"	0.0436905
zinger	0.0427972
Bundestag	0.0427954
"time machine"	0.0426529
"securities business"	0.0425955
"South Bend"	0.0425706
"AFC Championship Game"	0.0424338
stratosphere	0.0424147
"piano lesson"	0.0423834
bloodstream	0.0416106
match-ups	0.0412948
"recording studio"	0.0410912
"Little League World Series"	0.0409031
"Bay State"	0.0407719
"Negro Leagues"	0.0404667
Gastroenterologist	0.0402613
fistfight	0.040086
"dress uniform"	0.0400629
))
(boxwood (desc 2857.2) (sims
azalea	0.139581
poplar	0.124961
Viburnum	0.111258
hosta	0.107238
hydrangea	0.0989739
camellia	0.0983109
"douglas fir"	0.0931789
beech	0.0877361
fir	0.0854221
ivy	0.0811399
evergreen	0.0810051
cypress	0.079675
dogwood	0.0795756
rosemary	0.0743864
thyme	0.0712581
Birch	0.0681108
Hemlock	0.0673886
Oak	0.0658031
daffodil	0.0652901
ginkgo	0.0651443
mahogany	0.0624357
geranium	0.0618645
holly	0.0612419
chervil	0.0600681
Basil	0.0599895
impatiens	0.0592137
cilantro	0.0590403
cactus	0.0587309
spruce	0.058424
tarragon	0.058418
Mulberry	0.0571097
dill	0.0567335
redwood	0.0564418
vine	0.0546386
Yew	0.0543423
fern	0.05412
agave	0.0538187
clover	0.0528072
Juniper	0.0525798
coca	0.0515995
ragweed	0.0512359
tulip	0.0506704
tearoom	0.0496338
Milkweed	0.0495285
"flower garden"	0.0474212
topiary	0.0471541
fig	0.047069
crocus	0.0468483
nettle	0.0468006
sagebrush	0.0466958
turboprop	0.0463438
BUSINESSES	0.0455703
kudzu	0.0455178
shrub	0.0454134
sapling	0.0451103
"two @@-year-olds"	0.0447652
"live oak"	0.0446974
eucalyptus	0.0445603
Hawthorn	0.0444422
oregano	0.0442958
violet	0.0438054
Burley	0.0436028
oleander	0.0434652
rhododendron	0.0432158
Cessna	0.0431631
raspberry	0.0431054
Conifer	0.0431044
willow	0.0424479
blueberry	0.0421739
melon	0.0420893
"manufacturing business"	0.042005
waterlily	0.0417427
amaryllis	0.0415864
smooch	0.0414764
"pine cone"	0.0406468
pansy	0.0401133
))
(boy (desc 204164) (sims
girl	0.26067
child	0.221085
kid	0.20067
man	0.187869
woman	0.174184
"young man"	0.164407
son	0.163162
teen-ager	0.157458
Elian	0.156369
daughter	0.154202
student	0.147202
baby	0.145675
mother	0.14209
"little girl"	0.14119
guy	0.139144
"young woman"	0.136987
brother	0.13596
youngster	0.135579
"little boy"	0.134658
people	0.132982
teenager	0.128547
father	0.126667
youth	0.124649
someone	0.119811
parent	0.119047
person	0.118551
sister	0.116921
"Elian Gonzalez"	0.116844
family	0.115907
adult	0.114372
infant	0.113896
friend	0.113395
husband	0.113106
wife	0.110581
patient	0.109171
toddler	0.107735
soldier	0.10767
teens	0.107135
male	0.106745
victim	0.106431
"young girl"	0.104837
"black man"	0.104517
her	0.10388
dog	0.10355
teacher	0.10265
classmate	0.0985432
athlete	0.097792
inmate	0.0974882
player	0.0966492
American	0.0959269
grandmother	0.0952675
girlfriend	0.0947537
fan	0.0941719
couple	0.0938488
mom	0.0938219
driver	0.0928521
relative	0.0910454
officer	0.0901198
him	0.0894087
character	0.0892264
those	0.0887496
dad	0.0887455
resident	0.0881793
suspect	0.0881257
worker	0.0878265
you	0.0877824
"police officer"	0.087552
cousin	0.0863458
others	0.0859882
prisoner	0.0858445
she	0.0857641
animal	0.0857359
female	0.0855533
grandchildren	0.08499
CAT	0.0849707
grandson	0.0848869
sibling	0.0844869
actor	0.0844617
doctor	0.0843516
citizen	0.0843503
pupil	0.0841439
everyone	0.0837842
lady	0.0835764
them	0.0834448
folk	0.0826272
"old man"	0.0823902
black	0.0813517
policeman	0.0812929
many	0.0812325
"college student"	0.081222
me	0.0810645
"family member"	0.0810414
member	0.0810105
neighbor	0.080615
everybody	0.0805349
immigrant	0.0804431
passenger	0.0803659
anyone	0.0799572
"white man"	0.0796456
Cop	0.0795563
priest	0.0795549
who	0.0794643
boyfriend	0.0793195
journalist	0.0793049
"loved one"	0.0792757
employee	0.0792419
adolescent	0.07913
orphan	0.0789259
hero	0.078903
artist	0.0788708
politician	0.078577
some	0.0781826
somebody	0.0780466
individual	0.077834
twin	0.0778187
senior	0.0775593
Jew	0.0774863
king	0.0774812
farmer	0.0774782
sailor	0.0773334
writer	0.0772485
horse	0.0760798
musician	0.0757788
star	0.0757651
Killer	0.0756487
one	0.0756124
group	0.0755281
survivor	0.0752431
tourist	0.0750381
defendant	0.0750246
stranger	0.0748794
villager	0.0747943
refugee	0.0747285
reporter	0.0746871
uncle	0.0741386
spouse	0.0738821
young	0.0735285
team	0.0733814
lawyer	0.0732972
police	0.0730967
lover	0.0729348
client	0.0728033
two	0.072727
civilian	0.0725736
granddaughter	0.0725278
pilot	0.0724724
he	0.0721142
protester	0.0719678
criminal	0.0719256
policemen	0.0718171
buddy	0.071803
grandfather	0.0717916
President	0.0716084
they	0.0715737
Reader	0.0715688
gunman	0.0713569
anybody	0.0712864
coach	0.0709499
Cuban	0.0707821
actress	0.0707745
fellow	0.0707059
prostitute	0.0707043
bird	0.0705796
owner	0.070447
life	0.0702822
pet	0.0698369
leader	0.069833
bride	0.0697125
dancer	0.0694224
guard	0.0693794
Michael	0.0692689
"black woman"	0.0692663
singer	0.0692075
veteran	0.0690106
niece	0.0689394
body	0.0688629
"crew member"	0.0687985
viewer	0.0686813
nurse	0.0684598
white	0.0682201
himself	0.0681666
fetus	0.0681433
Joe	0.0678411
grandparent	0.0678318
Clinton	0.0678103
David	0.0677129
businessman	0.0676794
John	0.0672155
colleague	0.0671102
gunmen	0.0667592
God	0.0666935
schoolchildren	0.0665708
photographer	0.0661681
Kennedy	0.0660849
elephant	0.0657696
senator	0.0656676
school	0.0656476
nephew	0.0656015
lad	0.0652886
crowd	0.0652174
))
("boy scout" (desc 13662.9) (sims
scout	0.0963065
"eagle scout"	0.0948863
ACLU	0.0891119
"girl scout"	0.0888326
Klan	0.0845488
"defense lawyers"	0.0740175
"Sierra Club"	0.0682764
"Planned Parenthood"	0.0678067
NAACP	0.0668201
"United Way"	0.0661564
NRA	0.0658114
"school district"	0.0653767
"State Farm"	0.065189
"board of education"	0.065058
Eappens	0.0638037
"school board"	0.0635691
"American Civil Liberties Union"	0.0631847
plaintiff	0.0630825
"Red Cross"	0.0629521
"National Park Service"	0.0628256
"Paula Jones"	0.0627956
BSA	0.0622746
"Justice Department"	0.0597869
"Park Service"	0.0594784
EPA	0.059222
"British Army"	0.0592084
"Recording Industry Association of America"	0.0591358
Harris-Lewis	0.0587249
Spitzer	0.05821
scouting	0.0576321
"Black Panther"	0.057448
INS	0.0573657
scoutmaster	0.0571525
ANC	0.056611
AARP	0.0563099
"American Red Cross"	0.0539978
"altar boy"	0.0539876
"Roman Catholic Church"	0.0534723
"Forest Service"	0.0531291
"Republican Party"	0.0530063
"International Olympic Committee"	0.0528848
GAAF	0.0524892
Greenpeace	0.0524236
Barbour	0.0523648
"federal government"	0.052348
CellPro	0.0523458
"Immigration and Naturalization Service"	0.052033
"labor union"	0.052019
"Motion Picture Association of America"	0.0517937
"Audubon Society"	0.0517677
"National Rifle Association"	0.0513785
USDA	0.0513569
EEOC	0.0509426
FCC	0.0507379
ama	0.050301
Vatican	0.0502806
"faculty member"	0.0501623
Parsons	0.050132
Trulock	0.0499609
"Interior Department"	0.049846
"Christian Coalition"	0.0497687
UGA	0.0496848
KLA	0.0496729
"police department"	0.0496286
"United Steelworkers"	0.0496026
"Fourth Amendment"	0.0494975
"Consumer Federation"	0.0493588
"National Association"	0.0493506
Napster	0.0490769
missionary	0.0490691
NDA	0.048912
"U.S. Immigration and Naturalization Service"	0.048874
"President Lee Teng-hui"	0.0488421
USGA	0.048791
"American Bar Association"	0.048619
"Medical Society"	0.0484737
MILF	0.048397
"African National Congress"	0.0482336
"International Red Cross"	0.0482223
DPP	0.0481114
militia	0.0479889
"National Association of Broadcasters"	0.0479731
"Board of Elections"	0.0479075
Deri	0.047824
dale	0.0477521
"Coca-Cola Co."	0.0477
homosexual	0.0476844
"Department of Corrections"	0.0476216
HMO	0.0475921
"Department of Justice"	0.0475404
Taliban	0.0475289
NCAA	0.0474665
IAAF	0.0474055
IRS	0.0473842
FDA	0.0473281
Arpaio	0.0472991
Sheinbein	0.0471295
"Amnesty International"	0.0471251
"Marine Corps"	0.0471243
"Federal Emergency Management Agency"	0.04698
"Democratic Congressional Campaign Committee"	0.0469452
employer	0.0469178
Giuliani	0.046841
"church member"	0.0468204
defendant	0.0468031
junta	0.0467389
Leedham	0.0467037
inmate	0.0466137
U.N.	0.0464545
"Salvation Army"	0.0463727
"U.S. Forest Service"	0.046331
UAW	0.0463217
SEC	0.0462206
"Koch Industries"	0.0462057
"Brown &AMP; Williamson"	0.0461349
IOC	0.0459434
"Russian Foreign Ministry"	0.0459068
"Democratic National Committee"	0.0458643
SPLA	0.0458307
LTTE	0.0457429
"Department of Public Safety"	0.0456848
Sega	0.0456728
IPU	0.0456256
"Federal Trade Commission"	0.0455856
FIFA	0.0455718
"Communist Party"	0.0455601
"Anti-Defamation League"	0.0455003
christian	0.0454756
"Catholic Church"	0.0454753
smoker	0.0454159
"National Organization"	0.0454055
"United Methodist Church"	0.0453611
"Ku Klux Klan"	0.0453335
HUD	0.0452612
"tough guy"	0.045253
HHS	0.0452239
tribe	0.0451185
Helms	0.0449093
LAPD	0.0448622
Vallone	0.0448601
Allstate	0.0447593
federation	0.0447541
FTC	0.0447504
environmentalist	0.0447429
AFL-CIO	0.0447407
"Port Authority"	0.0447026
LRA	0.0445965
"Congress Party"	0.0445783
Toysmart	0.0445374
IFP	0.044529
"National Election Committee"	0.0444477
Harshbarger	0.0444401
Choate	0.0444342
claimant	0.0444253
"property owner"	0.0443673
Mafia	0.0442701
teamster	0.0442338
seminarian	0.0442131
diocese	0.0441184
UNIP	0.0440999
"Natural Resources Defense Council"	0.0439738
PUK	0.0439631
charity	0.0439528
"American Heart Association"	0.0439258
techie	0.0439029
Sharpton	0.0437894
"right to life"	0.0437616
"New York Police Department"	0.0437614
"fire department"	0.0436281
guild	0.0435776
KNU	0.0434992
MDC	0.0434598
"Turkish Cypriots"	0.0434574
"minority shareholder"	0.0434448
self-help	0.0434194
"International Amateur Athletic Federation"	0.0434192
Libertarian	0.043379
NEA	0.0433527
Archdiocese	0.0433416
OECD	0.0432873
mujahedeen	0.0432581
"Wen Ho Lee"	0.0432398
Lyons	0.0432048
"Log Cabin Republicans"	0.0432023
"Environmental Defense Fund"	0.0431778
Catholic	0.0431422
"tobacco industry"	0.0431032
"trade union"	0.0430463
Reilly	0.0430281
Gay	0.0429815
"Federal Aviation Administration"	0.0429745
ABA	0.0429503
"Nature Conservancy"	0.0429296
MTA	0.0429085
bishop	0.0428979
Mormon	0.0428047
"Pacific Lumber"	0.0427975
clergy	0.042781
hemophiliac	0.0426883
"Branch Davidians"	0.042552
))
("boy wonder" (desc 1495.47) (sims
"altar boy"	0.0854305
"Black Panther"	0.0769904
claimer	0.0742673
segregationist	0.0705135
Intimidator	0.0701052
wunderkind	0.0693972
"Texas longhorn"	0.0692598
first-rounder	0.0632364
"golden boy"	0.0631177
"farm boy"	0.0619868
Hoosier	0.0611948
choirboy	0.0590288
Chinese-American	0.0589802
"New Democrat"	0.0587743
"Wild Man"	0.0557907
egomaniac	0.0557586
"eye doctor"	0.0553694
bloomer	0.0545306
highflier	0.05341
spymaster	0.0534046
Mortimer	0.0528444
SSB	0.0525742
"Linda Jones"	0.0522416
televangelist	0.0522385
"foreign service officer"	0.0521244
yearling	0.0514659
"TV star"	0.050678
brat	0.050428
"Gene Autry"	0.050085
exterminator	0.0496199
"draft dodger"	0.0492125
"trump card"	0.0488042
"lame duck"	0.0485366
newspaperman	0.0482251
"electrical engineer"	0.0481762
"exotic dancer"	0.0479452
paraplegic	0.0477427
Virginian	0.047665
schemer	0.0476468
"law partner"	0.0473127
"prima donna"	0.0472528
hyper	0.0472249
"big leaguer"	0.0471289
"big shot"	0.0465285
manipulator	0.0464877
ingenue	0.0464703
Atlantan	0.0463763
"Bank of Israel"	0.0463544
"hockey player"	0.0461284
"leading lady"	0.0460384
bodybuilder	0.0458577
"top dog"	0.0458388
CBI	0.0457111
overlord	0.0456252
Kurd	0.0451946
firebrand	0.0447755
"Stan Collymore"	0.044606
Washingtonian	0.0445203
whiz	0.0445137
monarchist	0.0444683
brawler	0.0443604
"Horned Frogs"	0.044229
keyboardist	0.0441082
Ruggiero	0.0440316
ECW	0.0440098
oil-for-food	0.0438415
"senior executive"	0.0438383
"Julie Hiatt Steele"	0.0438147
UTEP	0.0437281
"Bank of Italy"	0.0436367
maestro	0.0435096
raconteur	0.0434859
"Pro Bowler"	0.0434858
stuntman	0.0434406
"aerospace engineer"	0.043334
"wonder boy"	0.0433281
Jaffe	0.0432535
Wiz	0.0429469
slapper	0.0429431
"world traveler"	0.0428634
speechwriter	0.0428197
"a few pounds"	0.0427453
paramour	0.0426593
supermodel	0.0425624
"Delta State"	0.0423135
casualness	0.0421347
slacker	0.0419721
phenom	0.0419592
ex-Marine	0.041931
Oriole	0.0418831
bon	0.0418355
theoretician	0.0417434
father-in-law	0.0417275
doer	0.0415579
hairstylist	0.0414742
southpaw	0.0413771
bellhop	0.0412211
biker	0.0411988
"Mike Espy"	0.0409051
Bostonian	0.0405506
draftsman	0.0404818
Irishman	0.0403882
journeyman	0.0403651
WSU	0.0403191
))
(boycott (desc 41584) (sims
walkout	0.146458
strike	0.130737
blockade	0.129308
sanction	0.126368
"work stoppage"	0.124835
embargo	0.121947
protest	0.121064
"military action"	0.111269
ban	0.106316
shutdown	0.106235
"legal action"	0.102193
demonstration	0.101158
moratorium	0.10041
cancellation	0.0981192
revolt	0.0980228
sit-in	0.0960753
postponement	0.0958449
"hunger strike"	0.0954559
action	0.0951108
sickout	0.0933599
crackdown	0.0900414
"civil disobedience"	0.0900398
rebellion	0.0893877
attack	0.0884824
intervention	0.0884765
airstrikes	0.0873222
closure	0.0871529
uprising	0.0853891
violence	0.084173
stayaway	0.0839569
lawsuit	0.0837955
riot	0.0831906
expulsion	0.0830872
bombing	0.0830828
condemnation	0.0830567
cease-fire	0.0821732
litigation	0.0821301
takeover	0.0816029
suspension	0.0804438
offensive	0.0802717
unrest	0.0800014
stoppage	0.0799564
manhunt	0.0790169
"military campaign"	0.0787527
criticism	0.078747
truce	0.0781098
"trade embargo"	0.0780677
filibuster	0.077349
mutiny	0.0772799
blackout	0.0771264
aggression	0.0764169
invasion	0.0763759
outcry	0.0760794
rejection	0.0758528
veto	0.0751801
freeze	0.0750879
"protest march"	0.0749309
threat	0.0746879
Rally	0.0738946
layoff	0.0730864
campaign	0.072933
war	0.0727148
"air attack"	0.0725731
terrorism	0.072339
withdrawal	0.071779
backlash	0.071748
resignation	0.0715147
cutback	0.0714907
retaliation	0.0712485
"rate cut"	0.0711998
effort	0.070877
raid	0.0706017
referendum	0.0705686
restriction	0.0701701
bombardment	0.0701646
disruption	0.070091
investigation	0.069804
delay	0.069623
agitation	0.0694988
controversy	0.0693737
occupation	0.0693052
lockout	0.0692357
airstrike	0.0692273
struggle	0.0688968
insurrection	0.0686947
looting	0.0683176
opposition	0.0682604
hike	0.0681879
pullout	0.0680009
deployment	0.067857
participation	0.0678569
refusal	0.0677628
mobilization	0.0676809
rioting	0.0675639
breakup	0.0675063
"tax increase"	0.0674053
collapse	0.0673541
coup	0.0673057
censure	0.0671948
slowdown	0.0671288
assault	0.0670742
confrontation	0.0670632
ceasefire	0.0670451
devaluation	0.0670114
isolation	0.0669601
sabotage	0.0667419
instability	0.0664169
hosting	0.0663406
Privatization	0.0663363
shortage	0.0662607
defection	0.0662245
initiative	0.0659864
overhaul	0.0659
inquiry	0.0657522
crisis	0.0651756
"arms race"	0.0650809
turmoil	0.0650347
complaint	0.0649512
failure	0.0649032
insurgency	0.064799
resistance	0.064787
prohibition	0.0646464
movement	0.0644599
debate	0.0643654
breakdown	0.064277
"budget cut"	0.0640761
famine	0.0638258
Dismissal	0.063824
conflict	0.0635536
pressure	0.0635356
expansion	0.0634546
activity	0.0634184
maneuver	0.0633595
destruction	0.0633148
policy	0.0631288
"price increase"	0.0630782
provocation	0.0630112
decision	0.0629782
measure	0.0627936
censorship	0.0627258
dissolution	0.0626643
"air raid"	0.0626203
reform	0.0624902
disturbance	0.0624775
imposition	0.0624329
"rate increase"	0.0624225
drought	0.0623468
"economic crisis"	0.0619831
accusation	0.0619444
scandal	0.0617936
buildup	0.0617103
exodus	0.061678
deregulation	0.0616356
ouster	0.0615621
stance	0.0614485
harassment	0.0613785
outcome	0.061168
secession	0.0605189
reprisal	0.0605155
hostility	0.0604769
negotiation	0.0603841
recession	0.0602487
legislation	0.0601896
escalation	0.0601438
deportation	0.0601429
assassination	0.0601352
proposal	0.0600007
epidemic	0.0599899
meltdown	0.0597731
"rate hike"	0.0597055
downturn	0.0595476
allegation	0.0595272
catastrophe	0.0594717
Jihad	0.0594094
appeal	0.0592732
lifting	0.0592551
adoption	0.0591561
attempt	0.0591139
blitz	0.0591104
mediation	0.0590452
consolidation	0.0589466
upheaval	0.0589294
clash	0.0586044
repeal	0.0585054
merger	0.0585037
probe	0.0584754
termination	0.0584722
objection	0.0583798
vandalism	0.0583296
abduction	0.0582389
onslaught	0.0582252
reshuffle	0.0581674
amnesty	0.0580583
warning	0.0579645
impeachment	0.0578971
firing	0.057783
incident	0.0577812
verdict	0.0577713
crises	0.0577547
downsizing	0.057628
))
(Boyd (desc 4385.05) (sims
Joklik	0.0921589
Ackerman	0.0917281
Weiner	0.0813346
Gillom	0.081055
Verney	0.0778464
Posner	0.0749245
Rosen	0.0740914
Clayton	0.073727
Scruggs	0.0735507
Farrell	0.0724437
Plante	0.0708645
Boucher	0.070661
Yosef	0.0684845
Pollack	0.0679073
Karr	0.0678526
Calhoun	0.0676427
Gomez	0.0671793
singleton	0.0669321
Lehane	0.0665038
Sithole	0.0664772
Eizenstat	0.0663355
ISSEL	0.0661951
beamer	0.0660194
Baird	0.0657749
Stoneman	0.0655078
bullock	0.0653346
Ruehe	0.0651015
Jarrell	0.0648597
Valenzuela	0.064829
Padilla	0.0646795
"Breda Kolff"	0.0646717
Cianci	0.0646435
Stahl	0.0645666
Geiger	0.0643137
Kopp	0.0640467
Barrie	0.0639117
Matthews	0.0636135
Kirby	0.0635031
Monson	0.0630272
Ebersol	0.0630254
Schneider	0.062972
Vogts	0.0629464
Fizer	0.0628596
Harmon	0.062837
Meissner	0.0627949
Gilmour	0.0627591
Kornberg	0.062644
Weinstein	0.0624173
Cramer	0.0623878
Donohue	0.0623163
Milutinovic	0.0622857
Lacroix	0.0622472
Zucker	0.0621748
Silverstein	0.0620382
Kavan	0.0620218
Olsen	0.0620208
Calipari	0.0616947
Jamison	0.0615843
MacKay	0.0615092
Barrett	0.0613267
LeBlanc	0.0612854
Olson	0.0612588
Hatfield	0.0612121
Moreno	0.0608683
Friedman	0.0607831
Patten	0.0607744
Allard	0.0606856
Morrison	0.0606822
Wolfson	0.0605854
Rosenblatt	0.0605133
Advani	0.0604253
Rooney	0.0600726
Schaffer	0.0597765
Schwartz	0.0596976
bock	0.0596074
"De Soto"	0.059555
Gangelhoff	0.0594019
"Frank Joklik"	0.0593884
Mcbride	0.0593295
Popovich	0.0592226
Newhouse	0.0591654
Remlinger	0.0590597
Pena	0.0588911
Carlson	0.0588293
Hartsburg	0.0584866
Welch	0.058327
Ferguson	0.0581634
Coelho	0.0581297
Chadwick	0.058068
Lindland	0.0578771
Alioto	0.0578048
Howe	0.0575406
Patel	0.057533
Shevardnadze	0.0574966
D'Alessandro	0.0574881
Hayden	0.0574166
Suker	0.0574163
Falk	0.0571084
Finkel	0.0570643
Insulza	0.0570272
Sheehan	0.0569539
Shriver	0.056913
Ziegler	0.0567803
Naumann	0.0566981
Griffiths	0.0566155
Bowman	0.0565557
Buzek	0.0564695
Jarvis	0.0562014
Azizah	0.0561795
Carey	0.0560432
Marineau	0.0560013
Hauser	0.0559935
Zuckerman	0.0559716
Ruggiero	0.0559449
Summitt	0.0559153
Ellison	0.0559012
Berkley	0.0558547
Russo	0.0557325
Singson	0.0556773
"De Klerk"	0.0556141
Drury	0.0555172
Morton	0.0554883
Lowery	0.0552484
Sampaio	0.0552446
Schultz	0.0551917
Soyinka	0.0550595
Hanley	0.0549327
Milbury	0.0548793
Shayler	0.0548653
Shula	0.0548464
Chastain	0.0548052
Mendez	0.0547109
Sehorn	0.0546096
Weisman	0.0545176
Dyson	0.0544929
McLane	0.0544881
Solich	0.0544636
Sensenbrenner	0.0544559
Cornwell	0.0543987
Stevens	0.054385
Torres	0.054364
lynch	0.0543392
Napolitano	0.0542595
Waltrip	0.0540719
Owens	0.0538875
Sakic	0.0538116
Myhrvold	0.0537772
Skiles	0.0535534
Tate	0.0534041
Harrer	0.0533697
Gillick	0.0533078
Kaplan	0.0532921
Thurber	0.0532736
"Patsy Ramsey"	0.0532718
Zito	0.0532304
hodgson	0.0532087
Sullivan	0.0532016
Gorter	0.0531865
Guthridge	0.0530782
"Asif Ali Zardari"	0.0529328
Romanowski	0.0529184
Eldred	0.0528913
Birnbaum	0.0528702
Crabtree	0.0528201
Berger	0.0527577
Felton	0.0527222
Blake	0.0526482
Kimble	0.0526433
Hartwig	0.0526431
Castillo	0.0525222
Callaway	0.0524924
Abercrombie	0.0524566
Solzhenitsyn	0.0524457
Neilson	0.052445
Troussier	0.0524322
Kerrigan	0.0524129
Perisho	0.0523659
Passarella	0.0523504
Fuentes	0.0523498
Bingham	0.0523211
Kwasniewski	0.0523155
Kushner	0.052296
Shanahan	0.0522575
Francis	0.0522442
Mikhailov	0.0522386
Saunders	0.0522242
Gifford	0.0521901
Madden	0.0520606
Snyder	0.052006
Houghton	0.0519625
Asprilla	0.0519177
Grasso	0.0519172
Glickman	0.0518814
Piot	0.0518457
Schottenheimer	0.0516291
Cline	0.0515432
Caddell	0.0515174
Kerouac	0.0515131
Sather	0.0515009
Ftorek	0.0514994
))
(boyfriend (desc 41295.2) (sims
girlfriend	0.160259
husband	0.149888
fiance	0.134794
mother	0.11875
lover	0.117843
brother	0.110241
fiancee	0.109678
sister	0.10536
father	0.105045
son	0.105023
wife	0.104875
uncle	0.103189
friend	0.10141
exboyfriend	0.101076
"best friend"	0.100192
daughter	0.0967874
aunt	0.0949565
parent	0.0923783
spouse	0.0914008
cousin	0.0902794
roommate	0.0902683
stepfather	0.0888334
classmate	0.0887245
companion	0.0862328
dad	0.0822262
niece	0.081774
mother-in-law	0.0814784
beau	0.0811471
grandmother	0.080688
man	0.0804486
exwife	0.0802438
ex-husband	0.0801124
sibling	0.0798483
"family member"	0.079535
boy	0.0793195
mom	0.079174
girl	0.078488
relative	0.077997
grandfather	0.0778326
co-worker	0.076855
sweetheart	0.0767111
mistress	0.0752526
kid	0.075068
brother-in-law	0.0747015
granddaughter	0.0733542
ex-girlfriend	0.0722958
policeman	0.0719198
assailant	0.0718383
stepmother	0.0715315
nephew	0.0712671
"young man"	0.0712378
grandparent	0.0704495
stranger	0.070191
child	0.0700869
family	0.0696465
teen-ager	0.0690857
sister-in-law	0.0678998
buddy	0.0677251
grandson	0.0667392
bride	0.0666926
teacher	0.066124
baby	0.0660797
in-law	0.0652876
neighbor	0.0651718
schoolmate	0.064904
stepdaughter	0.0648903
someone	0.0645741
"young woman"	0.0644592
"prison guard"	0.0642434
prostitute	0.0640084
priest	0.0636929
Cop	0.0636759
acquaintance	0.0636147
Bos	0.0630721
attacker	0.0628875
gunman	0.0622147
guy	0.0621363
nanny	0.0620205
father-in-law	0.0618676
"little girl"	0.061842
Killer	0.0616086
grandchildren	0.0612491
widow	0.0610561
actress	0.0609198
her	0.0605496
"police officer"	0.060038
"loved one"	0.0595613
couple	0.0585003
PAL	0.0579453
partner	0.0577752
businessman	0.0576032
"security guard"	0.0575526
coworker	0.0575
teenager	0.0574214
person	0.0568061
"little boy"	0.0567625
babysitter	0.0567075
son-in-law	0.056324
"church member"	0.0561377
"Princess Diana"	0.0561339
dog	0.0559097
student	0.0556116
somebody	0.055311
nun	0.0552118
photographer	0.0550542
soldier	0.054997
"drug dealer"	0.0549506
Susan	0.0548544
suspect	0.0548496
groom	0.0548431
bodyguard	0.0545625
suitor	0.0544947
stepson	0.0543635
mate	0.0537287
mentor	0.0537247
"black man"	0.0536281
Princess	0.0535881
colleague	0.0535827
victim	0.0534893
housewife	0.0534841
"half sister"	0.0532491
Daddy	0.0531932
Laura	0.0531888
grandchild	0.0530304
maid	0.0529209
she	0.0527635
inmate	0.0527428
boss	0.0526051
"movie star"	0.0525235
Marie	0.0524628
Diana	0.0524366
tom	0.0522595
"white man"	0.0522498
"little brother"	0.0522155
Michael	0.0518901
singer	0.0513308
CAT	0.0512754
counselor	0.0511209
lady	0.051109
Barton	0.0510356
driver	0.0509533
robber	0.0509055
caregiver	0.0508004
daughter-in-law	0.0507845
schoolteacher	0.0507111
nurse	0.0504718
agent	0.0503178
Joe	0.0502524
Linda	0.0501374
David	0.0500631
waiter	0.0499264
John	0.0498876
teammate	0.0498298
playmate	0.0497659
youth	0.0497279
Sarah	0.0496749
Debbie	0.0495247
"married man"	0.049464
actor	0.0493069
Richard	0.0492155
Adam	0.0490729
Rapist	0.0490274
gunmen	0.0487545
doctor	0.0486237
waitress	0.0484902
pet	0.0484586
"foster parent"	0.0483084
herself	0.0481525
officer	0.0481323
politician	0.0480401
youngster	0.0479285
adult	0.0478679
hero	0.0478652
Prince	0.0478639
caretaker	0.0476829
Ed	0.0476676
Helen	0.0474366
housekeeper	0.0474308
trooper	0.0473631
Matthew	0.047344
owner	0.047331
Steve	0.0471356
policemen	0.047057
ray	0.0470301
"English teacher"	0.0469773
himself	0.0469643
Robert	0.0469381
offspring	0.0468867
hairdresser	0.046733
Paul	0.0467105
journalist	0.0466351
sitter	0.0465997
"young girl"	0.0464948
everybody	0.0463852
Josh	0.0463688
me	0.0463411
kidnapper	0.0463367
Ben	0.0462139
James	0.0460436
"little sister"	0.0460211
))
(boyhood (desc 9321.48) (sims
Childhood	0.175461
girlhood	0.12253
upbringing	0.0759178
adolescence	0.0699935
golfing	0.0642374
idyll	0.0589356
"early childhood"	0.0554149
highschool	0.0547027
JACK's	0.052193
schoolboy	0.0513954
"Old South"	0.0498998
"grade school"	0.0489627
"one of the boys"	0.0459489
"working class"	0.0439662
"real life"	0.0422024
"old school"	0.0413367
Crucifixion	0.0409062
ancestor	0.0403926
))
(Boyle (desc 2994.51) (sims
Berenson	0.127992
Kirkpatrick	0.127223
Meissner	0.122983
Finkel	0.118773
Molinari	0.118453
Lowry	0.118425
Rosenthal	0.11513
Vogel	0.113532
Donohue	0.110553
Myhrvold	0.110399
Kurth	0.109481
Cline	0.109405
Fleischer	0.108889
Betts	0.107993
Bakaly	0.107348
Merritt	0.107152
Hartley	0.107053
Coelho	0.105583
Waxman	0.104898
Neff	0.104237
Ruggiero	0.104103
Hartman	0.103605
Mucha	0.102968
O'Sullivan	0.101607
Farley	0.101284
Baer	0.101132
Goldstein	0.100496
Ainge	0.100045
Mikhailov	0.0998847
Meehan	0.0994147
Gilman	0.0986131
Sheppard	0.0983425
Hsia	0.0982176
Jeffers	0.0980932
Weil	0.0976274
Blackmun	0.0975887
Ackerman	0.0963545
Grossman	0.0962666
Kirby	0.0960181
Jaffe	0.0959797
Brazile	0.095916
Barlow	0.0953833
Prewitt	0.0951065
Hagen	0.095101
Paxon	0.0949729
Gillespie	0.0942247
Arron	0.0941568
Briscoe	0.0940633
Shapiro	0.0938411
Pollack	0.0934267
Pfeiffer	0.0933048
Beckwith	0.0930544
Heinrichs	0.0928561
Hindery	0.0926333
Feng	0.0925308
Wolfson	0.0923812
nance	0.0920241
Rivlin	0.0918876
Rosenberg	0.0918779
hodgson	0.0918392
Quintero	0.0917316
Rossotti	0.0916906
Moran	0.0914615
Maslyukov	0.0913488
Lehane	0.0912586
Reimer	0.0908549
Zuckerman	0.0908446
Hagel	0.0904825
Harman	0.090481
Sheehan	0.0904579
Deri	0.0903939
Baez	0.0900909
Tobin	0.0897461
Farber	0.0897075
Leavitt	0.0895748
Atwood	0.0892962
Copeland	0.0891731
Kagalovsky	0.0890006
Hanna	0.0888619
Clooney	0.088786
LeFave	0.0887494
Lau	0.0886275
Zadornov	0.0885834
Suarez	0.0883142
Rove	0.088244
Mullen	0.0881289
Patten	0.087951
bock	0.0879425
Garza	0.087889
Fahey	0.0877497
Fiorina	0.0877409
Rossi	0.0875281
Menchu	0.0873484
DeFrantz	0.0872333
Pelosi	0.0872112
Farrell	0.0871783
Kurtz	0.0869988
Mann	0.0869033
Lundberg	0.0868584
Daniels	0.0866287
Haouari	0.0863989
Bubb	0.0863943
Burnett	0.0863526
McDonnell	0.0863381
Henley	0.0862009
McCurry	0.0860409
Weiner	0.0858416
Sassa	0.0858199
Gottlieb	0.0855891
McGrath	0.0854831
Feldman	0.085454
Yoon	0.0854422
Solis	0.0852123
singleton	0.0851868
Kerrigan	0.0850367
Berman	0.0848609
Bowers	0.0845104
Sheedy	0.084479
Wasserstein	0.0844076
Wilder	0.0843626
Bain	0.0843263
Kaufman	0.0843216
Talebi	0.0841457
Siegel	0.0840768
Weinberg	0.0840762
Khalil	0.0839768
Godfrey	0.0839242
Marineau	0.0838547
Russo	0.083697
Atkinson	0.0836796
Tilberis	0.083636
Laudrup	0.0833858
"administration official"	0.0830187
Meyer	0.0829901
Hanley	0.0829246
Mahoney	0.0829142
Katz	0.0828328
Postel	0.0826297
Ritter	0.082626
Drexler	0.0825558
Egan	0.0822313
Doyle	0.082164
Arbour	0.082044
Flanagan	0.0819503
Ebersol	0.0816419
Eskew	0.0816259
Greenwald	0.0815797
O'Hara	0.0815064
Tian	0.081409
Brundtland	0.0813834
Tomlin	0.0812736
Pappas	0.0812611
Menard	0.0811679
Padilla	0.0810179
Grunwald	0.0810022
Patel	0.080997
Farnsworth	0.0809388
McCartney	0.0808657
Bulatovic	0.0808636
Maloney	0.0806047
Puzo	0.0805881
O'Connell	0.0805737
Sykes	0.0805488
Faget	0.0804711
Duffy	0.0804366
Walsh	0.0804364
Moscoso	0.0803715
McDaniel	0.0803688
Bronfman	0.0802272
Mcbride	0.0801218
Troussier	0.0800439
Solich	0.0799834
Bettman	0.0799511
Winkler	0.0799344
Yates	0.0799102
Abram	0.0798219
Griffiths	0.0797372
Schmid	0.0797338
Conte	0.0797102
Faulkner	0.0796833
Newhouse	0.079602
Tomey	0.0795513
Levinson	0.0794866
Kusama	0.0794554
Trevi	0.0794447
Garber	0.0794342
fuller	0.0793911
SHUSTER	0.0793836
Sasser	0.079246
Sorensen	0.0792319
Hickman	0.0790482
Ricart	0.0790469
Slatkin	0.0789257
Milbury	0.0788905
Farris	0.0788235
Dowd	0.078748
McGovern	0.0786772
McGinnis	0.0785655
Durwood	0.0785271
Coverdell	0.0785253
))
("Boynton Beach" (desc 1415.79) (sims
"Delray Beach"	0.198577
"Lake Worth"	0.181977
"Palm Beach Gardens"	0.177382
"Newport Beach"	0.159096
"Boca Raton"	0.155226
Englewood	0.153402
Hialeah	0.151687
"Coral Gables"	0.150883
"East Orange"	0.147757
"South San Francisco"	0.144238
"Port St. Lucie"	0.143532
Clearwater	0.136476
Lakeland	0.135939
Morristown	0.13232
Tarrytown	0.129115
Farmington	0.12692
"Silver Spring"	0.126194
Bradenton	0.125854
"West Palm Beach"	0.125373
"Westlake Village"	0.124246
Sunnyvale	0.119623
Quincy	0.118509
"Walnut Creek"	0.118324
Dunwoody	0.118163
Sausalito	0.118062
Encino	0.117232
Montclair	0.116368
"Paradise Valley"	0.116027
"Sun City"	0.113511
Gainesville	0.113198
"La Jolla"	0.113028
Alpharetta	0.112707
Tarzana	0.112656
Evanston	0.111721
"Thousand Oaks"	0.111483
Clifton	0.110457
Westfield	0.108857
"North Hollywood"	0.108841
Wallingford	0.10884
Fairfax	0.108389
TALLAHASSEE	0.108271
"New Canaan"	0.1076
Redding	0.107468
"San Mateo"	0.106537
Falmouth	0.106132
Kettering	0.105728
Schenectady	0.10497
LAKEWOOD	0.104158
"Daytona Beach"	0.103731
"Fort Lauderdale"	0.103574
Camarillo	0.10323
Framingham	0.103196
"Hollywood Hills"	0.102374
"Overland Park"	0.102002
Ithaca	0.101612
Missoula	0.101142
Ridgewood	0.100866
"Sherman Oaks"	0.100567
Watertown	0.10021
"Woodland Hills"	0.100006
"Fort Lee"	0.0997104
"Mountain View"	0.0994376
Norcross	0.0993956
Smyrna	0.0993397
Bloomington	0.0989839
"Miami Beach"	0.0988621
Kissimmee	0.0978189
ASHEVILLE	0.0967265
Oxnard	0.0967014
Medford	0.0955463
Rockville	0.095255
"Mill Valley"	0.0952029
Brentwood	0.0946223
"San Rafael"	0.0946098
Bloomfield	0.0942016
Lansing	0.0941571
Covington	0.094014
Reston	0.093469
"Culver City"	0.0933749
"Key West"	0.0933198
Chatsworth	0.0931081
Greenwich	0.0929826
"Simi Valley"	0.0922088
Westport	0.092187
"Palm Beach"	0.0916759
"Pacific Palisades"	0.091608
Arlington	0.0915182
Naples	0.0910155
"Studio City"	0.0909761
"Saratoga Springs"	0.0906843
Dunedin	0.0902008
Lawrenceville	0.0900052
Carrollton	0.0897652
Bangor	0.0891944
"Virginia Beach"	0.0888375
Wichita	0.0887651
"Vero Beach"	0.0887057
Calabasas	0.0880893
Scottsdale	0.0879834
Decatur	0.0871118
Eureka	0.086837
Sarasota	0.0865245
"Grand Junction"	0.0862043
"Dade County"	0.0861926
Plano	0.0860076
Pittsfield	0.0859612
Needham	0.0857055
Brockton	0.0856174
Albuquerque	0.0853736
Burlingame	0.0851973
"Santa Clarita"	0.0849903
ARCADIA	0.0849778
Stamford	0.0842018
Yonkers	0.0837739
Bethesda	0.0836223
Tempe	0.0835226
"Union City"	0.0828625
"East Los Angeles"	0.0827963
Chatham	0.0826667
Bellevue	0.0825292
"Highland Park"	0.0824044
Pensacola	0.082365
Brunswick	0.0821524
Middletown	0.0819383
Danville	0.0819313
"San Marcos"	0.0816842
"West Orange"	0.0816732
Wellesley	0.0816267
"Cherry Hill"	0.081543
Leawood	0.0809783
Woburn	0.0809178
"College Park"	0.0808004
STUART	0.0807178
"Santa Rosa"	0.0802093
"Great Neck"	0.0801518
Carmel	0.0800914
Charlestown	0.0795897
Okinawan	0.0795356
Braintree	0.079529
"East Boston"	0.0795195
Holyoke	0.0793069
Duluth	0.0789589
"Baton Rouge"	0.0788606
"New Haven"	0.0788234
Emeryville	0.0784278
Hackensack	0.0783316
"Manhattan Beach"	0.0781999
Carlsbad	0.0781795
Eugene	0.0780884
Flushing	0.078019
Sussex	0.0778757
Shreveport	0.0775564
"Fort Collins"	0.0774227
"Stone Mountain"	0.0770024
"New Rochelle"	0.0769785
Winston-Salem	0.0769119
"Brooklyn Heights"	0.0767708
Lynchburg	0.076667
"West Hollywood"	0.0766095
"St. Paul"	0.0765279
Glendale	0.0759198
Bensonhurst	0.0756341
Palmdale	0.0754624
"Rockland County"	0.0754065
"Gwinnett County"	0.0753495
"Redwood City"	0.0753058
Matamoros	0.0751782
"Garden City"	0.0751761
"Sussex County"	0.0749909
Claremont	0.074908
Riverdale	0.0747411
Carthage	0.0746124
"Fort Wayne"	0.0744979
Laramie	0.074164
Dearborn	0.0739712
"Huntington Beach"	0.0727764
"trailer park"	0.0727592
Utica	0.0727028
Macon	0.071979
"Orthodox Jewish"	0.071952
"Fall River"	0.071871
Cupertino	0.071679
Alameda	0.0716695
"Palo Alto"	0.0714865
"Van Nuys"	0.071398
Modesto	0.0712859
Pomona	0.0711601
"Round Rock"	0.0710076
Reseda	0.0707743
"Chapel Hill"	0.0706987
Flagstaff	0.070678
Roanoke	0.070554
Renton	0.0704409
Chappaqua	0.0703541
Fremont	0.0703174
riverside	0.07016
Amarillo	0.0701528
"Bel Air"	0.0697298
Marietta	0.0696952
Jupiter	0.0696675
))
("Boys Ranch" (desc 1402.76) (sims
USEC	0.151117
BIA	0.149028
CAA	0.103795
TAZARA	0.103246
"Pacific Lumber"	0.10133
"Georgia Power"	0.0990055
SAS	0.0982057
Overnite	0.0958455
midlevel	0.0931725
"European Bank for Reconstruction"	0.0930134
FEMA	0.0925482
"roughly @@,@@@"	0.0911703
MTA	0.0897676
LAUSD	0.0895044
"Consolidated Edison"	0.0889472
UNRWA	0.0880608
"Thermo Electron"	0.0875096
KPA	0.086362
NSA	0.085509
FPL	0.0849894
DMV	0.08457
"Department of Corrections"	0.0843568
CIRC	0.0838154
Dana-Farber	0.083466
CUC	0.0826976
"civil defense"	0.0826965
SBA	0.0818809
"Housing Authority"	0.0803018
Pemex	0.0797196
"Hongkong Telecom"	0.0793553
Caldor	0.0785117
IEC	0.0779033
"Forest Service"	0.077719
"Food Lion"	0.0775913
SAFY	0.0773532
"about @@@ to @@@"	0.0767436
DFG	0.0766664
SabreTech	0.0752195
CSE	0.0749891
va	0.0747387
MSF	0.0747148
EBRD	0.0746962
"Y&AMP;R"	0.0744565
"Catholic Charities"	0.0743924
HCFA	0.0743811
USAID	0.0742844
Caltrans	0.0740448
CSX	0.0739953
"Park Service"	0.073485
NHTSA	0.0726882
VISTEON	0.0726635
"American Red Cross"	0.0726506
"Con Ed"	0.0726074
"night shift"	0.0722613
Ingalls	0.0722303
"Wine Institute"	0.0717433
"Operation Rescue"	0.0713204
CCF	0.0709794
"Southeastern Legal Foundation"	0.07083
KU	0.0704205
DP	0.069717
Biskind	0.0694623
"Handgun Control"	0.0694569
Zarkin	0.0692546
NRC	0.069067
CPS	0.0689333
SLOC	0.0687865
Maximus	0.0684512
KNU	0.0683764
"Phelps Dodge"	0.0683185
EEOC	0.0682162
"Culture Ministry"	0.068181
ATC	0.0681643
"roughly @,@@@"	0.0679725
workfare	0.0676094
Ganassi	0.0675107
FSA	0.0674765
Natale	0.0671199
"J&AMP;J"	0.0671081
KPFA	0.0669635
"Rules Committee"	0.0669437
UD	0.0667633
CWA	0.0659732
"U.S. Soccer Federation"	0.0658425
NiSource	0.0655166
Alltel	0.0654824
Amtrak	0.0652972
"Salt Lake Organizing Committee"	0.0651909
"Con Edison"	0.0649633
UT	0.0649416
Kroger	0.0647462
"Los Angeles Unified"	0.0645718
DLC	0.0644264
Chiquita	0.0642336
"Royal Caribbean"	0.0639015
"CBS Sports"	0.0635916
"Oaklawn Park"	0.0635285
ICBC	0.063091
"America West"	0.0630457
"Medical Society"	0.0630274
INEC	0.0629111
"U.S. Fish and Wildlife Service"	0.0628482
"Raytheon Co."	0.0627355
Emery	0.0627017
UNAMET	0.0626814
IRS	0.0626102
NEA	0.0624527
Comelec	0.0623259
"Department of Housing and Urban Development"	0.0620299
"Gulf Air"	0.061749
"House Budget Committee"	0.061516
BLM	0.0614571
"bus company"	0.0613475
All-Tech	0.0612892
"Human Rights Commission"	0.0612757
Juma	0.0610013
fulltime	0.0608819
Nepa	0.0608312
ENTERGY	0.0607169
Bridgestone	0.0605864
"Defense Agency"	0.0605418
BOC	0.0604564
"P&AMP;G"	0.0604321
"Department of Environmental Protection"	0.0603261
CAAC	0.0603139
"Chinese Olympic Committee"	0.0603025
AIG	0.0602842
CNA	0.0602363
"National Action"	0.0601204
"Department of Motor Vehicles"	0.0600401
"Federal Emergency Management Agency"	0.0600348
SUNY	0.0599377
UGA	0.0595738
Kaiser	0.059481
OCA	0.0593948
"Truth Commission"	0.0592609
"Census Bureau"	0.0591724
DEP	0.0590746
BNFL	0.0590017
MBNA	0.058699
"U.S. Administration"	0.0586947
"Pac Bell"	0.0585416
Warnaco	0.0585237
"Rotary International"	0.0585037
"nearly one million"	0.0584455
OSHA	0.058419
FIA	0.0583219
"patent office"	0.058197
Drexel	0.0581021
WEF	0.0580329
Cargill	0.0580245
Delphi	0.0579954
HUD	0.0579928
Getty	0.0578782
"NFL Players Association"	0.057716
IU	0.0575485
WSU	0.0574044
Starwood	0.0573868
"About one million"	0.0573795
"PG&AMP;E"	0.0573474
"U.S. Immigration and Naturalization Service"	0.057197
Hilton	0.0570291
"National Abortion and Reproductive Rights Action League"	0.0570183
"Fannie Mae"	0.0570095
ADM	0.0565501
"Koch Industries"	0.0565348
"close to @@,@@@"	0.0565335
UNIDO	0.0565095
"Justice Ministry"	0.0562724
Verizon	0.0561924
Massport	0.0561843
NSC	0.0561102
UTA	0.0559992
"Communications Workers of America"	0.0559696
FAA	0.0559176
"computer system"	0.0558772
"Fish and Wildlife Service"	0.055859
"Veterans Administration"	0.0557305
"Bear Stearns"	0.055562
Sumitomo	0.0553821
Corcoran	0.0553683
"roughly @@@,@@@"	0.0552166
"Los Angeles Unified School District"	0.0551019
"water company"	0.0549501
Domino's	0.0547782
CMA	0.0547051
"U.S. Treasury Department"	0.0546547
Thruway	0.0544961
CCA	0.0544873
"Alaska Airlines"	0.0544209
"Department of Public Health"	0.0544089
shipyard	0.0543921
"International Red Cross"	0.0541121
Bridgestone/Firestone	0.0540785
Riady	0.0539947
UNHCR	0.053839
SFA	0.0537302
SNCF	0.0536276
SPP	0.0536239
"Olympic Committee"	0.0533897
))
("Boyz II Men" (desc 2029.11) (sims
"Toni Braxton"	0.138422
"Billy Joel"	0.120485
"Mary J. Blige"	0.113608
"GLORIA ESTEFAN"	0.108808
"Erykah Badu"	0.108424
"Luther Vandross"	0.105559
"Whitney Houston"	0.0939328
"Lenny Kravitz"	0.0898815
"Dixie Chicks"	0.0879415
"Celine Dion"	0.0871
"Lauryn Hill"	0.0825558
"Shania Twain"	0.0817089
"R. Kelly"	0.0811484
"Dave Matthews"	0.0790994
"Christina Aguilera"	0.0769498
"Aretha Franklin"	0.0752518
"Ricky Martin"	0.0751904
"Backstreet Boys"	0.0749416
"Janet Jackson"	0.0726505
"Smashing Pumpkins"	0.0721711
TLC	0.0717722
"Eric Clapton"	0.0712194
"Macy Gray"	0.0703419
"Luciano Pavarotti"	0.0691588
"Stevie Wonder"	0.0687683
"Sarah McLachlan"	0.0686288
MANA	0.0666928
"George Michael"	0.0657934
"Tina Turner"	0.0632219
"Britney Spears"	0.0621356
"Marilyn Manson"	0.0621328
"Laurie Anderson"	0.0611652
"Bette Midler"	0.060488
"Barbra Streisand"	0.0603531
"N Sync"	0.060198
"Marc Anthony"	0.0596822
U@	0.0592772
"Lauren Bacall"	0.0586045
"Mariah Carey"	0.0581023
"Randy Newman"	0.0568742
"Puff Daddy"	0.0552866
brandy	0.0544107
"Wyclef Jean"	0.0542137
"Jon Bon Jovi"	0.0541321
Eurythmics	0.0531103
"Quincy Jones"	0.0514956
"Public Enemy"	0.051273
"Michael Jackson"	0.0508795
"Garth Brooks"	0.0508179
"Diana Ross"	0.0504983
"Kirk Franklin"	0.0494856
D'Angelo	0.0494842
"Marvin Gaye"	0.0492289
"Enrique Iglesias"	0.0488321
"Andrea Bocelli"	0.0485527
"Robin Williams"	0.0483538
"Tracy Chapman"	0.0481156
Babyface	0.0478122
"Busta Rhymes"	0.047799
"Johnny Carson"	0.047291
"Paul Newman"	0.047195
"Richard Burton"	0.0465253
"Billy Crystal"	0.0461204
"Tony Bennett"	0.0461098
"Brooke Shields"	0.0452665
Eminem	0.0443248
"B.B King"	0.0441617
"Walter Matthau"	0.0441207
"James Taylor"	0.0438208
"LeAnn Rimes"	0.0432647
"Faith Hill"	0.043158
"Elvis Costello"	0.042992
"Van Morrison"	0.0428599
remixes	0.0426777
"Barenaked Ladies"	0.0425835
"Alanis Morissette"	0.0425562
Elf-Aquitaine	0.042538
"George Carlin"	0.0413208
"John Mellencamp"	0.0411046
"Elton John"	0.0405
))
(BP (desc 6497.23) (sims
"British Petroleum"	0.265211
Texaco	0.260433
Amoco	0.234002
Mobil	0.225191
"BP Amoco"	0.222658
Chevron	0.205204
Exxon	0.197266
Esso	0.196473
Agip	0.183677
ARCO	0.156318
UNOCAL	0.152896
Conoco	0.143983
Petronas	0.141116
Caltex	0.138681
"Royal Dutch/Shell"	0.138132
Eni	0.137508
Lukoil	0.134231
SmithKline	0.123097
McKesson	0.12105
Hoechst	0.120125
"ELF AQUITAINE"	0.116424
"Union Carbide"	0.11533
BASF	0.114468
Totalfina	0.114317
REPSOL	0.110493
YPF	0.110194
Elf	0.109011
WorldCom	0.108767
RJR	0.108628
"Atlantic Richfield"	0.103913
Vivendi	0.103432
AMR	0.101323
TYCO	0.101289
NORTHROP	0.099926
Daimler	0.0994039
Bayer	0.0992395
Healtheon	0.0984885
Unilever	0.0977584
Petrofina	0.0974884
PETROBRAS	0.0968796
CNOOC	0.0967624
NTL	0.0966479
MCI	0.0961128
Seagram	0.0956962
ICI	0.0949552
Dupont	0.0948167
UAL	0.0938426
"Hongkong Telecom"	0.0938149
Enron	0.0935252
Weyerhaeuser	0.0934035
Aegon	0.0925682
GEC	0.0924494
Astra	0.0921921
TCI	0.091789
Cargill	0.0917857
CMGI	0.0915576
Starwood	0.09088
Nortel	0.0907533
UBS	0.0903245
Monsanto	0.0894821
ENTERGY	0.0889664
"Exxon Corp."	0.0886369
Norwest	0.0876963
Daimler-Benz	0.0865742
"Exxon Mobil"	0.086566
Siemens	0.086478
ING	0.0863322
AlliedSignal	0.0861446
Aetna	0.0860198
Rhone-Poulenc	0.0860032
AIG	0.0858673
Pennzoil	0.0857602
Schlumberger	0.0856153
Kodak	0.0855984
"P&AMP;G"	0.08546
IDT	0.0853657
Compaq	0.0852044
"WorldCom Inc."	0.085149
Glaxo	0.0849855
"News Corp."	0.084889
Novartis	0.0846172
Viacom	0.08428
Ameritech	0.0842311
"Deutsche Bank"	0.0839429
"British Telecom"	0.083886
Elf-Aquitaine	0.0837868
Bertelsmann	0.0829014
HSBC	0.0822596
WPP	0.082031
VoiceStream	0.0817105
Qwest	0.0816997
"Global Crossing"	0.0813147
SBC	0.0813065
Citicorp	0.0811956
GTE	0.0810435
BellSouth	0.0807188
NiSource	0.0806336
Lockheed	0.0805509
"Dow Chemical"	0.0805424
Renault	0.0804357
"Bell Atlantic"	0.0804084
"Time Warner"	0.0803699
Vodafone	0.080183
"Deutsche Telekom"	0.0801372
VENATOR	0.0800901
Litton	0.0799646
NatWest	0.0797765
"National Grid"	0.0796349
Warner-Lambert	0.0792868
EMC	0.0787566
Statoil	0.0786205
Georgia-Pacific	0.0785395
SFX	0.0783181
Northpoint	0.0780438
Echostar	0.0780378
Cendant	0.0777795
Roche	0.07739
"Tribune Co."	0.0772204
"Thermo Electron"	0.0769983
Gillette	0.0769559
Gazprom	0.0765142
"Fannie Mae"	0.0763609
"Southern Co."	0.0763207
TELLABS	0.0762982
Pemex	0.0762831
Sibneft	0.0762389
GANNETT	0.0762234
"MCI WorldCom"	0.0760582
Asda	0.0760498
Yukos	0.0759101
Viag	0.0758826
Medtronic	0.0758085
Deutsche	0.0755788
Raytheon	0.0755474
Alcatel	0.0754028
Softbank	0.0753744
"U S West"	0.0753511
Honeywell	0.0753232
"HSBC Holdings"	0.0751425
Mannesmann	0.0750766
"International Paper"	0.0748831
Telstra	0.0745329
Merck	0.0742541
"Y&AMP;R"	0.0741592
"Total Fina"	0.0740704
Hasbro	0.0739528
BankAmerica	0.0739004
Pepsi	0.0735532
Asarco	0.0734338
Comsat	0.0728998
KPN	0.072831
Allstate	0.0728097
"oil company"	0.072809
"Glaxo Wellcome"	0.0727537
Alcoa	0.0727189
Ciena	0.0726518
Paxson	0.0723337
DaimlerChrysler	0.0723233
Motorola	0.071964
NTT	0.0717649
"Computer Associates"	0.0717288
"Royal Bank"	0.0716122
PTT	0.0716025
Genentech	0.0714207
Corning	0.0712834
Terra	0.0710932
XYLAN	0.0710303
"General Electric"	0.0709704
AstraZeneca	0.0707838
"Wells Fargo"	0.0706982
Airtouch	0.0706575
Halliburton	0.0706559
"Pac Bell"	0.0704649
Alltel	0.0700643
Publicis	0.0700365
"KCP&AMP;L"	0.0698636
Autodesk	0.0698508
Unicom	0.0696627
SDL	0.0696416
Cadbury	0.0694392
"JDS Uniphase"	0.0694232
Telefonica	0.0692987
Gilead	0.0692717
Amgen	0.0692189
Sinopec	0.069159
LVMH	0.0691391
Citigroup	0.0691335
"Times Mirror"	0.0691209
Bestfoods	0.069099
"Credit Suisse"	0.0687915
Xerox	0.0686937
BankBoston	0.0685933
Alcan	0.0685842
WebMD	0.0685411
Sears	0.068515
Belo	0.0684883
ALZA	0.0683944
Zeneca	0.0681697
NationsBank	0.0680647
Cablevision	0.0676806
))
("BP Amoco" (desc 10709.1) (sims
Texaco	0.251653
"British Petroleum"	0.249466
Exxon	0.248206
Mobil	0.229153
Chevron	0.227984
BP	0.222658
Amoco	0.203102
ARCO	0.186088
"Bell Atlantic"	0.174082
Lukoil	0.17242
WorldCom	0.167389
"MCI WorldCom"	0.16331
"Deutsche Telekom"	0.158923
Dupont	0.158371
Viacom	0.157836
Monsanto	0.156251
Vivendi	0.153052
Vodafone	0.150605
"Atlantic Richfield"	0.149724
UNOCAL	0.149351
Aetna	0.149228
"Exxon Corp."	0.149092
Enron	0.147674
"HSBC Holdings"	0.143954
Conoco	0.143013
Unilever	0.141684
Pfizer	0.141151
"National Grid"	0.140561
Halliburton	0.140434
Mannesmann	0.140264
TYCO	0.140009
Esso	0.139836
Totalfina	0.139374
Qwest	0.139146
McKesson	0.139005
"America Online Inc."	0.138649
SBC	0.138616
Bertelsmann	0.138031
Norwest	0.136772
"Global Crossing"	0.136601
"Time Warner"	0.136062
"News Corp."	0.135952
"Exxon Mobil"	0.135921
"Deutsche Bank"	0.135691
Hoechst	0.134802
EMC	0.133526
"Glaxo Wellcome"	0.133416
CMGI	0.132931
RJR	0.132845
PETROBRAS	0.132675
"Royal Dutch/Shell"	0.132236
MCI	0.13216
DaimlerChrysler	0.131963
Daimler	0.131333
"America Online"	0.131094
Compaq	0.130945
Honeywell	0.130885
BankAmerica	0.130779
UAL	0.129903
"P&AMP;G"	0.129595
Nortel	0.129283
Novartis	0.128947
SmithKline	0.128766
"Thermo Electron"	0.128311
Lockheed	0.127623
Healtheon	0.126767
Telefonica	0.126735
"Procter &AMP; Gamble"	0.126665
"U S West"	0.126597
Emulex	0.126376
HSBC	0.126206
"American Home Products"	0.126093
Citigroup	0.125752
Agip	0.125057
WPP	0.124929
"ELF AQUITAINE"	0.124801
Alcan	0.124668
Motorola	0.124074
Daimler-Benz	0.123321
Ciena	0.123093
"Times Mirror"	0.122747
"SBC Communications"	0.122351
"Tribune Co."	0.122217
"Vodafone AirTouch"	0.121725
"WorldCom Inc."	0.121591
AMR	0.121546
"Union Carbide"	0.121188
Warner-Lambert	0.121118
Cendant	0.120765
NiSource	0.120472
Renault	0.120131
Sibneft	0.120081
ENTREMED	0.120038
REPSOL	0.118922
"Bausch &AMP; Lomb"	0.118839
Citicorp	0.118719
"Berkshire Hathaway"	0.118634
"France Telecom"	0.118576
Qualcomm	0.118524
Alcoa	0.118386
Litton	0.11795
Novell	0.117761
BellSouth	0.117683
Aegon	0.11757
Cisco	0.117558
Starwood	0.117294
Schlumberger	0.117079
"Johnson &AMP; Johnson"	0.116967
Merck	0.116905
ALZA	0.116836
Genzyme	0.116287
Mattel	0.116105
"Phelps Dodge"	0.115768
IBM	0.115232
Deutsche	0.115226
"Sara Lee"	0.115078
"Cable &AMP; Wireless"	0.114836
"Philip Morris"	0.114491
Seagram	0.114076
"Hongkong Telecom"	0.113696
MindSpring	0.113526
Eni	0.113362
BankBoston	0.113252
YPF	0.113024
"Telecom Italia"	0.112986
Raytheon	0.112554
"Y&AMP;R"	0.112435
Xerox	0.112403
ING	0.112328
NatWest	0.112131
NationsBank	0.112078
SFX	0.112019
"British Telecom"	0.111837
COLTEC	0.111802
"JDS Uniphase"	0.111561
GTE	0.111538
"Lucent Technologies"	0.11147
"American Home"	0.111224
Petrofina	0.111195
"General Electric"	0.110972
UBS	0.110883
VENATOR	0.110806
"USA Networks"	0.110329
Coca-Cola	0.109975
Airtouch	0.109858
Caltex	0.109605
EarthLink	0.109427
AOL	0.108972
Pepsico	0.108779
Lycos	0.108709
Amgen	0.108705
Glaxo	0.108478
"Aetna Inc."	0.108236
"General Motors"	0.108212
Medtronic	0.108169
"Walt Disney Co."	0.108158
"Ford Motor"	0.10788
Intel	0.107702
"British Aerospace"	0.107656
"Oracle Corp."	0.107402
Webvan	0.107286
Olivetti	0.107117
"Fannie Mae"	0.106675
Roche	0.106152
BofA	0.106105
GANNETT	0.1057
TCI	0.105697
"Coca-Cola Co."	0.10565
Kodak	0.105642
"Bankers Trust"	0.105579
"Cox Communications"	0.105513
"J&AMP;J"	0.105307
oracle	0.104915
BHP	0.104722
"Computer Associates"	0.104579
Siemens	0.104293
Nabisco	0.104287
"Royal Bank"	0.104201
Humana	0.103862
Elf	0.103637
Warnaco	0.103335
ExciteAtHome	0.103139
AIG	0.103051
Cablevision	0.103017
"Network Solutions"	0.103
Astra	0.102913
Biogen	0.102729
"Rite Aid"	0.102661
"Lockheed Martin"	0.102399
"US Airways"	0.102274
LTCB	0.102261
Checkfree	0.102205
Verizon	0.102086
"International Paper"	0.101976
"De Beers"	0.101931
Gazprom	0.101827
"Wells Fargo"	0.101608
"Bell Atlantic Corp."	0.101269
"Coca-Cola Enterprises"	0.10119
Genentech	0.101132
Livent	0.101066
"Boston Scientific"	0.100786
Softbank	0.100648
"Bank of America"	0.100533
Bridgestone	0.10053
Ericsson	0.100305
"T Corp."	0.100249
"HBO &AMP; Co."	0.100216
Cargill	0.100004
))
(bpd (desc 16942) (sims
"barrels per day"	0.277185
barrel	0.220718
tonne	0.203509
bale	0.150326
kg	0.141237
kWh	0.1326
"six percent"	0.125654
"four percent"	0.124292
"one million tons"	0.124192
sq.m	0.122567
"five percent"	0.12225
"eight percent"	0.121835
"seven percent"	0.120591
spindle	0.117431
ha	0.117382
"four million tons"	0.115516
"three percent"	0.115173
ton	0.112471
"about @ percent"	0.112258
"about @.@ percent"	0.112157
pataca	0.112028
"one percent"	0.111623
"over @@ million tons"	0.111077
"U.S. Dollars"	0.110075
U.S.dollars	0.106384
"two million tons"	0.10438
"five million tons"	0.104365
"about @@ million tons"	0.104209
"nine percent"	0.104152
cu.m	0.103696
"about @@@,@@@ tons"	0.102249
"two percent"	0.101685
ECUs	0.101375
dwt	0.099166
"three million tons"	0.0990642
birr	0.0979519
mw	0.0964841
m.	0.0955409
"six million tons"	0.0939626
"more than @@ million tons"	0.0929226
shekel	0.0929096
"about @@ billion dollars"	0.0927433
"Organization of Petroleum Exporting Countries"	0.0917082
"oil production"	0.0916118
"one billion dollars"	0.090631
year-on-year	0.0898751
dollar	0.0886879
euros	0.0886773
"about @.@ billion dollars"	0.0883407
"One Million"	0.0882021
ECU	0.0879818
output	0.087779
"about @@ percent"	0.0862906
"about @.@ million tons"	0.0858296
kilometer	0.0853477
"almost @@"	0.0846993
"one billion US dollars"	0.0846577
feddans	0.0837621
"currency unit"	0.0807895
ringgit	0.0794062
subscriber	0.0784369
dinar	0.0783775
sq.km	0.0783301
"about @@@ million dollars"	0.0780554
hryvna	0.0778909
Mt	0.077832
dollars-worth	0.0769886
"percentage point"	0.076965
percent	0.0762632
"about $@@@ million"	0.0761941
km	0.0761063
"nearly @@"	0.0753733
"about $@@ billion"	0.0744289
m	0.0739933
"three billion yuan"	0.0736285
"about @@,@@@"	0.0735717
"two billion yuan"	0.0723702
"about @@@,@@@"	0.0716841
"over @@@,@@@ tons"	0.071382
kgs	0.0709563
"over @,@@@ tons"	0.0704386
"more than @@@,@@@ tons"	0.0704177
"about @.@ million"	0.0694872
"two million"	0.0680507
"ten percent"	0.0678403
"basis point"	0.0668961
"gross domestic product"	0.0668101
ruble	0.0667842
"passenger car"	0.0666094
"about @@@ million"	0.0659759
"U. S.dollars"	0.0656956
"more than @"	0.0655617
"motor vehicle"	0.0652441
"production ceiling"	0.0650092
"about two percent"	0.064817
"cubic meter"	0.0646023
"about $@@ million"	0.0642002
GDP	0.0639719
"crude oil"	0.0638587
"more than @ billion dollars"	0.0635658
"three million"	0.063442
"tv set"	0.0634294
crude	0.0630458
"about $@.@ billion"	0.0629771
"about $@ billion"	0.0613428
"telephone line"	0.0612683
household	0.0612484
"about @@ million dollars"	0.0609736
"more than @.@ percent"	0.060758
VND	0.0606818
"Zimbabwe Dollars"	0.060515
"common shares"	0.0604268
OPEC	0.0603381
"About @,@@@"	0.0602422
"More than @.@ million"	0.0599042
"about @@ million"	0.0598258
Beijingers	0.0597529
"Deutsche Mark"	0.0597089
"about @@,@@@ tons"	0.0593711
"more than @@ billion yuan"	0.0590184
"less than @"	0.0587783
"one billion yuan"	0.0587059
"about five percent"	0.0586243
one-third	0.058373
"about $@@@"	0.0581848
"over @@"	0.0581626
"five billion yuan"	0.0580079
"Sri Lankans"	0.0580055
"nearly $@@"	0.057797
"more than @@ million"	0.0566463
meticais	0.0564289
"one billion"	0.056362
sapling	0.0563147
"Over @@@ Million Dollars"	0.0560359
KUNA	0.0553851
"up to @@.@ percent"	0.0552816
"more than @@@ billion yuan"	0.0552805
quota	0.0550344
liter	0.054935
"more than @@@ million tons"	0.0548976
"growth rate"	0.054718
Rai	0.0546251
"about $@ million"	0.0545936
kwanza	0.0545544
Tonnage	0.0544563
"Tanzania Shillings"	0.0544251
"one third"	0.0543539
sq	0.05429
laid-offs	0.0539941
"less than @@"	0.0539217
"more than @@"	0.0537177
"about @.@@ percent"	0.0535323
"About @@ per cent"	0.0534922
billion	0.0534869
landmines	0.0531811
"about @.@ billion US dollars"	0.0530684
"About @@.@ percent"	0.0528628
"more than @@@,@@@"	0.0528482
VCDs	0.0528074
"ordinary shares"	0.0527204
"about $@.@ million"	0.0526619
"nearly @"	0.0526254
surplus	0.0524825
Cambodian	0.0520915
"about $@,@@@"	0.0519697
enrollee	0.0514894
"trade surplus"	0.0514527
"oil producer"	0.0513195
"less than @.@ percent"	0.0512791
"about @@@"	0.0510131
"over @@@@"	0.0508349
"nearly $@ billion"	0.0505743
"more than @@,@@@"	0.0502914
Vietnamese	0.0502519
"more than @@,@@@ tons"	0.0501946
ICS	0.0498195
"displaced person"	0.0497953
cent	0.0495151
"inflation rate"	0.049436
"more than @.@ billion US dollars"	0.0493245
metical	0.0491931
Armenians	0.0488381
"food grain"	0.0487315
zero	0.0487113
tablet	0.0485414
"about $@"	0.048387
annum	0.0482977
"Four million"	0.0481532
"drug addict"	0.0479455
"over @@,@@@ tons"	0.0478772
Celsius	0.0478462
handset	0.0476687
automobile	0.0475944
Filipino	0.0474297
Bangladeshi	0.0474271
HK	0.0472867
Mozambican	0.0472812
"Kenya Shillings"	0.0472628
"six billion yuan"	0.0471609
Ethiopian	0.047019
))
(bra (desc 15156) (sims
camisole	0.146711
blouse	0.141176
panty	0.140435
"bathing suit"	0.138832
skirt	0.135298
pant	0.135034
dress	0.131878
underwear	0.131191
sandal	0.130459
bikini	0.127812
brassiere	0.123576
shoe	0.123515
jean	0.120655
corset	0.119485
"tennis shoe"	0.116195
halter	0.112541
sweater	0.111732
sweatshirt	0.111592
pajama	0.11084
miniskirt	0.110395
trouser	0.109941
pullover	0.109835
miniskirts	0.109724
Thong	0.108563
"hot pants"	0.108387
jacket	0.108356
gown	0.10748
swimsuit	0.106341
sock	0.105801
Poncho	0.105524
sneaker	0.104879
shirt	0.104633
vest	0.103685
"evening gown"	0.1033
lingerie	0.102446
coat	0.102023
"blue jean"	0.10165
T-shirt	0.101055
sunglasses	0.100915
tunic	0.100633
stocking	0.0997626
"evening dress"	0.0987021
girdle	0.0975742
tights	0.097133
headband	0.0965044
scarf	0.0961078
hat	0.0951547
jumpsuit	0.095115
wig	0.095077
beret	0.0942078
boot	0.0933523
"business suit"	0.0932692
"polo shirt"	0.0920149
bodice	0.0920045
"leather jacket"	0.0914699
underpants	0.0913595
pantsuit	0.0912876
legging	0.0911315
"pants suit"	0.0908047
turtleneck	0.0900208
cloth	0.0895775
cardigan	0.0894238
sleeve	0.0893709
"ball gown"	0.0890981
robe	0.0887684
"fur coat"	0.0879593
"cowboy hat"	0.087923
collar	0.0866786
Clothing	0.0865412
raincoat	0.0860585
"baseball cap"	0.0858102
trousers	0.0846908
"cowboy boot"	0.0839384
kilt	0.0832651
G-string	0.0824284
lipstick	0.0823931
"cocktail dress"	0.0815026
handbag	0.0814963
Outfit	0.0811108
bustier	0.0808811
nightgown	0.0807746
slack	0.0803768
waistcoat	0.0800364
hosiery	0.0798756
costume	0.0793103
suspender	0.0789732
earring	0.0788271
"running shoe"	0.0787086
pantyhose	0.0783919
turban	0.0783645
pants	0.0782384
undershirt	0.0780881
"trench coat"	0.0778844
anorak	0.0777241
bathrobe	0.0769502
sarong	0.0765791
apron	0.0763102
slipper	0.0756824
windbreaker	0.0756546
Bonnet	0.075376
"feather boa"	0.0752771
sportswear	0.0750706
"wedding gown"	0.074811
attire	0.0747789
"dress shirt"	0.074487
uniform	0.0739411
glove	0.0734322
tuxedo	0.073427
choker	0.0729403
petticoat	0.072937
parka	0.07293
frock	0.0726561
Sari	0.072344
strap	0.0723376
Pantsuits	0.0720859
hose	0.0719752
"bow tie"	0.0711754
Sash	0.0709235
kimono	0.0708666
"hearing aid"	0.0707541
"sweat pants"	0.0706737
pigtail	0.0700587
jersey	0.0699447
necktie	0.069928
"straw hat"	0.0694599
"stiletto heel"	0.0693685
shawl	0.0693629
jewelry	0.0692925
leotards	0.0689821
helmet	0.0685735
"nail polish"	0.0685032
capris	0.0682503
bandanna	0.0681994
handkerchief	0.0681119
wristband	0.0680741
headdress	0.0680235
shorts	0.0679743
belt	0.0679075
satin	0.0677439
loafer	0.0675526
prosthesis	0.0673872
"contact lense"	0.0673284
harness	0.0663905
eyeglass	0.0659182
bandana	0.065674
mask	0.0654002
apparel	0.0649378
accessory	0.0647738
leather	0.0645269
"boxing glove"	0.06424
garment	0.0640445
caftan	0.063727
chiffon	0.0633051
blazer	0.0632707
smock	0.0631062
"wedding dress"	0.0629905
bellbottoms	0.0624447
khaki	0.0622469
"sport shirt"	0.0622003
Chino	0.0614919
Swimwear	0.0613981
Cape	0.061178
blinder	0.0611683
pasty	0.0609768
"life jacket"	0.0609488
tux	0.06094
midriff	0.060728
"life vest"	0.0603714
garb	0.0595319
makeup	0.0594906
overcoat	0.0593866
hair	0.0592864
goggles	0.0590678
footwear	0.0589852
bracelet	0.0587706
backpack	0.0586811
bluejeans	0.0584504
fedora	0.0584466
heel	0.058376
"top hat"	0.0580588
slacks	0.0579755
pillow	0.0578
necklace	0.0577733
hairstyle	0.0577144
neckline	0.0570123
getup	0.0568293
fabric	0.056366
silk	0.0563367
loincloth	0.0563243
blanket	0.0563112
spandex	0.056127
hairdo	0.0560133
cosmetic	0.0557191
"hard hat"	0.0556478
towel	0.0556418
headgear	0.0555945
sheath	0.0554265
fur	0.0552912
pillowcase	0.0552576
"wedding ring"	0.055249
))
(brace (desc 15961.5) (sims
splint	0.141132
bandage	0.109227
braces	0.108848
"ice pack"	0.0866866
prosthesis	0.0763467
"neck brace"	0.0756783
"hearing aid"	0.0697539
strap	0.0683944
shackle	0.0593917
bruise	0.0591262
crutch	0.0590961
goggles	0.0570127
"wedding ring"	0.0567027
contusion	0.0559638
"running shoe"	0.0557877
handcuff	0.0553627
cane	0.0552097
earring	0.0544198
"boxing glove"	0.0537325
pad	0.0532939
harness	0.0522876
helmet	0.0516427
laceration	0.0514723
eyeglass	0.0513619
band-aid	0.0509969
jacket	0.05051
wig	0.0503735
stitch	0.0502655
tattoo	0.0501992
padding	0.0491884
shoe	0.0491687
bracelet	0.0486196
blister	0.0485517
"contact lense"	0.0484171
visor	0.0481439
sunglasses	0.047734
boot	0.0476349
spacesuit	0.047343
bandana	0.0472135
pigtail	0.0471606
bandanna	0.0463428
sleeve	0.0463402
scar	0.0460831
glove	0.0457682
wristband	0.0457534
sock	0.0455372
x-ray	0.0451472
sandal	0.044947
vest	0.0449183
pant	0.0448599
wheelchair	0.044788
bra	0.0447527
backpack	0.0447087
cleat	0.0444087
headgear	0.0442386
tube	0.0441566
collar	0.044122
scab	0.0438405
abrasion	0.0438393
ventilator	0.0436469
mustache	0.0434124
headphone	0.0433571
cage	0.0433282
hat	0.0426091
clamp	0.0425056
goatee	0.0421447
ponytail	0.0415744
tricycle	0.0407609
stocking	0.0406511
windbreaker	0.0405107
armor	0.0400727
))
(bracelet (desc 16786.2) (sims
necklace	0.213673
earring	0.183042
brooch	0.175843
pendant	0.165188
choker	0.131767
jewelry	0.131106
cufflink	0.126168
tiara	0.120563
scarf	0.113827
bead	0.104545
"engagement ring"	0.0985054
pin	0.0957666
amulet	0.0951181
barrette	0.0947267
wristband	0.0941188
handbag	0.0940093
"wedding ring"	0.0933228
sunglasses	0.090822
T-shirt	0.0904397
shoe	0.0902345
headband	0.0900676
headdress	0.0896185
sandal	0.0887885
shirt	0.0856633
gown	0.0848329
medallion	0.0846679
wristwatch	0.0844976
ring	0.0838061
tattoo	0.0832951
"mink coat"	0.0829008
collar	0.0828557
"leather jacket"	0.0816728
"key ring"	0.0813459
shawl	0.0806906
belt	0.0805592
jacket	0.0804253
ornament	0.0800037
skirt	0.0793459
hat	0.0785129
"fur coat"	0.0777246
bandana	0.0769309
dress	0.0765792
sweater	0.0762081
slipper	0.0754996
"evening bag"	0.0752689
"cowboy boot"	0.0742199
Coin	0.0733225
sneaker	0.0730912
beads	0.0726497
strap	0.0722845
cuff	0.0721435
crucifix	0.0720493
accessory	0.0720346
trinket	0.0719375
Thong	0.0718167
trouser	0.0717023
"baseball cap"	0.071699
badge	0.0715274
jewellery	0.071146
pant	0.0705496
handcuff	0.0702961
jean	0.0698581
"pocket watch"	0.0687652
"bow tie"	0.0687216
robe	0.0683335
cloth	0.0681755
vest	0.0679316
bikini	0.0676352
blouse	0.0676332
beret	0.0676204
"evening gown"	0.0673863
"boxing glove"	0.0672137
sock	0.0668513
"belt buckle"	0.0663998
tunic	0.0659993
plaque	0.0658597
pantyhose	0.0657532
statuette	0.0656632
coat	0.0648705
G-string	0.0640789
bag	0.0639583
bandage	0.0638464
goatee	0.0638101
lipstick	0.0635662
"evening dress"	0.0633312
armband	0.0633226
hair	0.063069
wig	0.0624477
waistcoat	0.062428
Pearl	0.0623801
miniskirt	0.0623717
bandanna	0.0622642
Poncho	0.0621801
panty	0.0620989
braid	0.06209
ribbon	0.0619298
tag	0.0617798
Clothing	0.0616696
button	0.0612083
"nose ring"	0.0610073
mask	0.0610055
Beard	0.0606685
Cape	0.0605679
"cowboy hat"	0.0601398
chain	0.0598707
glove	0.0598517
"dog tag"	0.0597949
doll	0.0597092
fur	0.059701
apron	0.0595262
pantsuit	0.0594441
boot	0.0594092
sticker	0.0591023
loafer	0.0588245
bra	0.0587706
"Star of David"	0.0587348
candelabra	0.0586715
necktie	0.0584859
"nail polish"	0.0582282
camisole	0.0578396
Outfit	0.0577491
postcard	0.0575459
blanket	0.0573316
Rolex	0.0572504
wallet	0.057153
"polo shirt"	0.0569782
trophy	0.0568895
lingerie	0.0567991
fabric	0.0567725
jumpsuit	0.0566415
"feather boa"	0.0565795
stiletto	0.0563806
sarong	0.0563663
cardigan	0.0557837
card	0.0557493
sleeve	0.0557473
toy	0.0556694
"tennis shoe"	0.0556146
"cocktail dress"	0.0555926
ponytail	0.0551025
stud	0.0550458
hairdo	0.054893
perfume	0.0544916
helmet	0.0544059
"postage stamp"	0.0541717
sweatshirt	0.0541538
underwear	0.0540873
jersey	0.0540811
Sari	0.0540728
backpack	0.0536862
diamond	0.053562
turban	0.053529
tuxedo	0.053214
emerald	0.0531571
pullover	0.0531445
pants	0.053087
smock	0.0530515
crosse	0.0527874
purse	0.0526682
"cigarette lighter"	0.0526229
chandelier	0.0524869
lamp	0.0524703
trousers	0.0524169
"straw hat"	0.0523173
jewel	0.052258
earpiece	0.0522567
embroidery	0.0521356
poster	0.0520139
curtain	0.0518855
Bonnet	0.0517763
calculator	0.0517722
headgear	0.05157
beepers	0.0513706
suspender	0.0512146
marker	0.0511843
halter	0.0511132
handkerchief	0.0511006
parka	0.0510906
leather	0.0510668
hairpin	0.0509495
visor	0.0509268
plate	0.0509209
slack	0.050888
haircut	0.0508338
raincoat	0.0505434
mustache	0.0504898
kimono	0.0503852
figurine	0.0503205
fingernail	0.0501404
costume	0.0500864
"shopping bag"	0.0500529
silk	0.050029
goggles	0.0497593
pouch	0.0497013
briefcase	0.049689
toaster	0.0495666
eyelash	0.0494975
ware	0.0494137
urn	0.0494014
"pants suit"	0.049342
))
(braces (desc 5384.37) (sims
brace	0.108848
ill-prepared	0.0638756
gearing	0.0594667
readying	0.0539799
"welfare worker"	0.0449023
Gears	0.0447053
groundwork	0.0411814
"neck brace"	0.0409895
PUSHES	0.040509
))
(Brack (desc 2864.62) (sims
Luyendyk	0.206485
Montoya	0.156237
"Kenny Brack"	0.147205
Andretti	0.143161
Labonte	0.142929
Zanardi	0.142848
Hornaday	0.136119
Biffle	0.125734
Irvan	0.124249
Herta	0.118656
Mayfield	0.11711
Earnhardt	0.116285
Pruett	0.115636
Waltrip	0.113009
"Scott Sharp"	0.112505
rudd	0.108498
Makinen	0.107706
Franchitti	0.107459
Jarrett	0.107352
Kenseth	0.106403
Hakkinen	0.104372
Coulthard	0.102968
"Greg Ray"	0.102625
Irwin	0.101739
"Earnhardt Jr."	0.0988969
Vasser	0.098759
"Scott Goodyear"	0.0984827
Najera	0.0982412
Julich	0.0978697
Schmitt	0.0968522
Takahashi	0.0967135
Paxon	0.0946896
Cheever	0.0933283
Rahal	0.0926739
Knapp	0.0917387
Cowan	0.0915325
Heinrichs	0.0914227
Villeneuve	0.0911691
Fleisher	0.0903523
"Billy Boat"	0.0901422
Goodyear	0.0896192
Guerra	0.0892926
Moreno	0.089241
Schumacher	0.0889592
Skinner	0.0879961
Schrader	0.087068
"Jeff Ward"	0.0856797
Laudrup	0.0850996
Gilmour	0.0850877
Cayard	0.0847165
Gogel	0.0846654
Barros	0.0834496
Canty	0.0827073
Finkel	0.082463
Hauser	0.082387
Solis	0.0814895
Gordon	0.0814365
Unser	0.0811127
Seizinger	0.0808762
Hyman	0.0808214
Calcavecchia	0.080743
Maloney	0.0805674
Cota	0.0803623
petty	0.0803383
"Buddy Lazier"	0.0798571
Bodine	0.0796302
Atler	0.0795137
Longo	0.0795072
beamer	0.0794522
Sorenstam	0.0792039
Sherrill	0.0791679
Godina	0.0791062
"La Russa"	0.0790592
"Jeff Burton"	0.0789085
Maier	0.0787521
Schmidt	0.078566
Scelzi	0.0785021
Okada	0.0782498
"Arie Luyendyk"	0.0781092
Zito	0.0777591
Boardman	0.0777479
Fleischer	0.0775964
"Sam Schmidt"	0.0771678
Claude	0.077044
Olano	0.0768994
Joyner-Kersee	0.0765499
Gossage	0.0765296
Appleby	0.0764916
"Dale Jr."	0.0763289
McCarty	0.0760868
Evernham	0.0758558
Foyt	0.0757393
Hearn	0.0747469
"Bobby Labonte"	0.074623
Loroupe	0.0745104
Passarella	0.0742894
Tocchet	0.0738878
Kuchar	0.0737537
Bierhoff	0.0736471
Baird	0.0736432
"Dale Jarrett"	0.0736106
"Tony Stewart"	0.0735001
Satcher	0.0734716
Schmid	0.0734518
Braswell	0.0734494
Quigley	0.0730193
"Ward Burton"	0.0730035
Rutherford	0.0729474
Capps	0.0728474
Cipollini	0.0728232
Hendrickson	0.072813
Nicol	0.0727025
Andreychuk	0.0726961
Vick	0.0723951
Sadler	0.0723906
Jacquet	0.0722126
Meissner	0.0720451
"Robby Gordon"	0.0720157
O'Sullivan	0.0719387
Weinke	0.0717564
Khannouchi	0.0715603
lacy	0.0713735
Ervin	0.0713516
Summitt	0.0711343
"administration official"	0.070704
Dragila	0.070443
Weisman	0.0704414
Copeland	0.0703558
Holdsclaw	0.0703467
Baugh	0.070333
Shoate	0.0701644
Boilermakers	0.0701578
Khorkina	0.0698789
Piot	0.0698564
Ebbers	0.0696793
Gatling	0.0695953
Krayzelburg	0.06953
Andrade	0.0695012
Hoddle	0.0693892
Lampkin	0.0690571
Gorter	0.0688669
Inkster	0.0687175
Barrie	0.0683361
Meissnitzer	0.0683184
Kuehne	0.0682144
O'Reilly	0.0681243
Molinari	0.0679725
estes	0.0678879
Virenque	0.0678771
McCarron	0.0678002
McGuire	0.0677827
Whitsitt	0.0677414
Samuelson	0.0676323
Robitaille	0.0676003
Butyrskaya	0.0675056
Tubbs	0.0673558
Azinger	0.0672722
Bratton	0.0672233
Rossi	0.066965
Mandella	0.0668078
Garces	0.0667084
Stadler	0.0666885
Inman	0.0666638
Dawes	0.0665963
Kagwe	0.0664305
Jayhawks	0.0664122
Salazar	0.0663413
Menard	0.0661981
Mariucci	0.0661014
Griffiths	0.0660614
Setzer	0.0660549
Nadler	0.0660179
Robson	0.0659479
Westwood	0.0659259
Wiatt	0.0658386
Bettman	0.0657492
Lehman	0.0657461
Atwood	0.0657252
Meche	0.0657167
"Jeff Gordon"	0.0655524
Sasser	0.0654357
Grissom	0.0653412
Rutledge	0.065183
Tanaka	0.0651329
Tallas	0.065077
Briscoe	0.0650538
Cink	0.0650516
Gerry	0.0649151
Hartsburg	0.0648596
Gwynn	0.064805
Brister	0.0645121
Golding	0.0644758
Snead	0.0644602
Surin	0.06445
Monson	0.0644141
Ebersol	0.0643889
Maggert	0.0643064
Pantani	0.064278
Drexler	0.0642151
Hoch	0.0642026
))
(bracket (desc 19614) (sims
"tax bracket"	0.190715
"income bracket"	0.120764
parentheses	0.113494
"tax rate"	0.0775467
"NCAA Tournament"	0.071057
"age group"	0.0635792
"Sweet @@"	0.0628664
seedings	0.0594261
regionals	0.0591912
"poverty rate"	0.0559063
screw	0.0549363
"Eastern Conference"	0.0541446
tier	0.0530864
"East Regional"	0.0527621
bolt	0.0505182
category	0.0497687
playoff	0.049718
hinge	0.0496563
semifinal	0.0491896
"wage earner"	0.0488198
"round robin"	0.0478021
rod	0.0477873
"Western Conference"	0.047047
pairing	0.0468238
"World Group"	0.0465039
slot	0.0461867
"occupancy rate"	0.0458543
"vacancy rate"	0.0455431
"tax bill"	0.0454123
jamb	0.0453896
tourney	0.0451171
"leadership position"	0.0445793
pipe	0.0445233
"high gear"	0.0443064
drawer	0.0441752
ranking	0.0441232
household	0.0440904
rotation	0.0440474
"rate of growth"	0.0437058
deduction	0.043492
"value-added tax"	0.0434645
matchup	0.0434293
"Champions League"	0.0432525
"two lines"	0.0429285
"unemployment rate"	0.0428257
"line of work"	0.0426804
tube	0.0426332
"Gold Cup"	0.0425861
rung	0.0422489
nit	0.0421178
latch	0.0416136
plate	0.0410423
"retirement account"	0.0408553
antenna	0.0407953
semi	0.0404954
"turnover rate"	0.0403643
WAC	0.0403127
grade	0.0402916
enclosure	0.0402108
Bundesliga	0.040133
ladder	0.0400617
))
(Brad (desc 5594.91) (sims
Brian	0.107838
Matthew	0.0978597
Steve	0.0902138
Jeff	0.0890089
Gerald	0.0887711
Reggie	0.0880879
Sean	0.0880338
Rick	0.0863362
Danny	0.0855543
Jake	0.0854829
Marty	0.0854575
Larry	0.0837604
David	0.0837004
Josh	0.083476
Fred	0.0832865
Maurice	0.0830749
Jason	0.0830531
Philip	0.0830304
Wyatt	0.082352
tom	0.0823519
Jim	0.0822731
Jonathan	0.0820476
Kyle	0.0815746
Paul	0.0812061
Robbie	0.0810378
Neil	0.0800649
Jamie	0.0796112
Carl	0.0788995
Ben	0.0785505
Steven	0.0778035
Walter	0.0776091
Richard	0.0772867
Bobby	0.0772845
Ted	0.0772616
Jimmy	0.0770422
Tim	0.0764968
Shawn	0.0764051
Robert	0.0760138
Juan	0.07591
Ian	0.0756348
Dave	0.0754645
Alan	0.0754507
Colin	0.0753551
Eric	0.0752444
mike	0.0749718
Chris	0.0747807
Mario	0.0745883
Adrian	0.0743947
Jeb	0.0743646
Kevin	0.0738936
Dennis	0.0738647
Kenny	0.0734544
Justin	0.0732979
Randy	0.0732193
Dan	0.0728718
Todd	0.0728289
Doug	0.0724579
Wayne	0.0718194
Roger	0.0716787
Greg	0.0714549
Phil	0.0714503
Ralph	0.0711213
Erik	0.070965
Joe	0.0709588
Michael	0.0707042
Jeremy	0.0703925
Trevor	0.0702376
Clyde	0.0701952
Charlie	0.069712
Marc	0.069639
Marvin	0.0695168
Gary	0.0694209
Jon	0.0690316
Frank	0.068458
Scott	0.0684459
Derek	0.0683299
John	0.0682721
Keith	0.0679023
Jeffrey	0.0678739
Evan	0.067788
Terry	0.0676557
Brett	0.0676378
Edward	0.0675482
Anthony	0.067521
Willie	0.0672312
Sam	0.0666167
Jerry	0.0662465
Andre	0.0661705
Susan	0.0655149
Ernie	0.0655134
Mel	0.0653656
Bruce	0.065063
Wally	0.0648723
Antonio	0.0648572
Andrei	0.0647616
Nate	0.0645339
Ron	0.0643588
Andy	0.0640694
timothy	0.0639972
Joey	0.0638532
Bryan	0.063722
Stephen	0.0635885
Joshua	0.0630773
Theo	0.0630191
Yount	0.0629271
Joel	0.0627141
Ryan	0.0625376
Ed	0.0625302
Zachary	0.0625285
Owen	0.0624914
Sammy	0.0624834
Lance	0.0624554
Casey	0.0618363
Ahmed	0.0617396
Liam	0.061618
Kurt	0.0614741
Kenneth	0.0611245
Troy	0.0609993
Charles	0.0608449
Peter	0.0608367
Ken	0.0608036
Robin	0.0605596
Nicholas	0.0605102
Arthur	0.0602964
matt	0.0602449
Eddie	0.0602169
Johnny	0.0601064
Brock	0.0599726
Ronald	0.0595775
nick	0.05926
Shannon	0.0592274
Patrick	0.0591
Fernando	0.0587994
Darryl	0.0587841
William	0.0585658
Ricky	0.058438
Archie	0.0581382
James	0.0581007
Henry	0.0579377
Shane	0.057662
Luke	0.0576208
Harold	0.0575182
Harry	0.0575036
Clifford	0.057468
Vladimir	0.0572515
Gerard	0.05724
Tony	0.0570567
Rusty	0.0568643
Scoonie	0.0568524
Francisco	0.0567813
Craig	0.0566822
Vinny	0.0565999
Brent	0.0563469
Billy	0.0563408
Phillip	0.0562905
Andrew	0.0562544
George	0.0562438
Adam	0.05622
Odai	0.0561204
pat	0.0559936
ty	0.055895
Joseph	0.05587
Christina	0.055802
Brody	0.0558013
Cody	0.0554037
Eizenstat	0.0554019
Raymond	0.0551079
Miguel	0.0550732
Ramon	0.0550308
Gabriel	0.0547551
DeBerg	0.0546509
Albert	0.0545459
Roberto	0.0543854
Pedro	0.0543754
Daniel	0.0540677
Corey	0.0536629
Cameron	0.0533911
Samuel	0.0533279
Randall	0.0531197
Manuel	0.053111
Omar	0.0530426
Barry	0.0529834
Edmund	0.0528494
jay	0.0527984
Donald	0.0526963
Barbara	0.0525508
Lawson	0.0523731
Scottie	0.0522497
Sergei	0.0522385
Gregory	0.0521812
Sebastian	0.0520354
Julian	0.0520313
Nathan	0.0518529
dick	0.0517644
Hans	0.0517489
Zack	0.0516372
Isaiah	0.0516279
Drew	0.0516181
Dodi	0.0513867
Jose	0.0512623
))
("Brad Ausmus" (desc 3442.83) (sims
"Tony Eusebio"	0.295223
"Richard Hidalgo"	0.232989
"Bobby Higginson"	0.218775
"Mitch Meluskey"	0.211802
"Dean Palmer"	0.211633
"Bill Spiers"	0.195028
"Tim Bogar"	0.194578
"Ricky Gutierrez"	0.194474
"Paul Bako"	0.19355
"Russ Johnson"	0.190542
"Jeff Conine"	0.186059
"Chris Widger"	0.185917
"Damian Miller"	0.184864
"Einar Diaz"	0.181409
"Luis Polonia"	0.18022
"Eric Owens"	0.177316
"Jeff Bagwell"	0.176372
"Eddie Taubensee"	0.173686
"Karim Garcia"	0.171211
"Brent Mayne"	0.169142
"Mark Kotsay"	0.168678
"Craig Biggio"	0.167992
"Ken Caminiti"	0.167693
"Deivi Cruz"	0.167112
"Geoff Jenkins"	0.166843
"Stan Javier"	0.166477
"Derek Bell"	0.165496
Rolen	0.165271
"Jason Varitek"	0.164035
"Kelly Stinnett"	0.163838
"Marvin Benard"	0.163829
"Bill Haselman"	0.162792
Fullmer	0.161799
"Johnny Damon"	0.161459
"Sean Berry"	0.161458
"Todd Pratt"	0.161362
"Tony Clark"	0.160668
"Phil Nevin"	0.155629
"Mike Sweeney"	0.154434
"Joe McEwing"	0.154146
"Juan Encarnacion"	0.154094
"Warren Morris"	0.153448
"Brian Hunter"	0.153216
"Tom Lampkin"	0.152278
"Chad Kreuter"	0.15223
"Charles Johnson"	0.151937
"Carlos Lee"	0.151807
Spiers	0.151345
"Brook Fordyce"	0.150678
"Sandy Alomar"	0.150412
"Jason Kendall"	0.149498
Lankford	0.149445
"Doug Glanville"	0.14879
"Ron Coomer"	0.14795
"Joe Girardi"	0.147891
Alicea	0.147656
"Melvin Mora"	0.146461
"John Vander Wal"	0.146202
"Matt Franco"	0.145979
"Carl Everett"	0.145252
"Carlos Beltran"	0.144686
Varitek	0.144628
Ausmus	0.144415
Vidro	0.143978
"Matt Lawton"	0.143356
"CARLOS HERNANDEZ"	0.142654
"Jorge Posada"	0.142365
"Eddie Perez"	0.142092
"Todd Greene"	0.141937
"Mike Lieberthal"	0.141651
"Lenny Harris"	0.141292
"Jorge Fabregas"	0.141068
Lieberthal	0.140861
"Luis Alicea"	0.140427
"Greg Myers"	0.140245
"Matt Walbeck"	0.140184
"Chris Gomez"	0.140143
Randa	0.140133
"Darryl Hamilton"	0.139841
"Mark Loretta"	0.139783
"Bill Mueller"	0.139772
Abreu	0.139723
"Jose Guillen"	0.139569
"Tony Batista"	0.139353
"Ruben Rivera"	0.138338
"Ivan Rodriguez"	0.137928
"Manny Alexander"	0.137758
"Bengie Molina"	0.137695
"Todd Walker"	0.137069
"Dmitri Young"	0.136503
"J.T Snow"	0.136134
"Javy Lopez"	0.135805
"Bobby Abreu"	0.135095
"Ozzie Guillen"	0.13507
"Jose Offerman"	0.135024
"Preston Wilson"	0.135017
"Gabe Kapler"	0.134569
"Tom Goodwin"	0.134356
"Ray Lankford"	0.134249
"Rico Brogna"	0.133976
"Ray Durham"	0.13378
"Scott Hatteberg"	0.133387
"Gregg Zaun"	0.132999
"Eric Chavez"	0.132536
"Todd Hundley"	0.13252
"Fred McGriff"	0.132373
"Gregg Jefferies"	0.132094
"Rusty Greer"	0.132008
Caminiti	0.131614
"Glenallen Hill"	0.131409
"Kenny Lofton"	0.130701
"Jim Leyritz"	0.130151
"Rondell White"	0.129747
"B.J Surhoff"	0.129388
"Joe Randa"	0.129299
"Scott Brosius"	0.129199
Burnitz	0.12872
"Daryle Ward"	0.128675
"Herbert Perry"	0.128627
"David Dellucci"	0.128509
"Marquis Grissom"	0.128437
"Dan Wilson"	0.127253
"Adam Kennedy"	0.126989
"Jeffrey Hammonds"	0.12663
"Damian Jackson"	0.126614
"Rich Becker"	0.126471
"Rey Sanchez"	0.126196
"Orlando Palmeiro"	0.125854
"David Segui"	0.125833
Cirillo	0.125559
"Cliff Floyd"	0.125486
"Scott Spiezio"	0.125375
"Jose Vizcaino"	0.125255
"Tony Womack"	0.125073
"Roger Cedeno"	0.124933
"Will Clark"	0.12473
"Jose Hernandez"	0.124099
"Mike Bordick"	0.124092
"Butch Huskey"	0.124069
"Greg Vaughn"	0.123453
"Paul Konerko"	0.123302
"Dante Bichette"	0.12308
"Mark Grace"	0.122257
Higginson	0.12215
"Mike Stanley"	0.122129
"Vladimir Guerrero"	0.12174
"Mark Johnson"	0.121445
"Damion Easley"	0.121343
"Quilvio Veras"	0.121302
Beltran	0.121278
"Edgardo Alfonzo"	0.121199
"Eric Karros"	0.120881
"Alex Gonzalez"	0.120807
"Kevin Young"	0.120444
Tatis	0.120402
"Neifi Perez"	0.119651
"Cristian Guzman"	0.119575
"Ron Gant"	0.119334
"John Valentin"	0.119123
"Mike Benjamin"	0.119095
"Dave Hansen"	0.118814
"Mike Scioscia"	0.118499
"Mickey Morandini"	0.118244
Veras	0.117603
McLemore	0.117573
"Andy Fox"	0.117461
"Bruce Aven"	0.117071
"Moises Alou"	0.11705
"Dave Martinez"	0.116906
Surhoff	0.116877
"Bobby Estalella"	0.116786
"Luis Sojo"	0.116501
"Jeff Kent"	0.116407
"Mike Piazza"	0.116315
"Bernard Gilkey"	0.115874
"Darrin Fletcher"	0.115863
"Enrique Wilson"	0.115819
"Randy Velarde"	0.11541
"Tim Salmon"	0.115063
"Brad Fullmer"	0.114956
"Travis Fryman"	0.114241
"Derrek Lee"	0.113875
"Jose Valentin"	0.113826
Bautista	0.113758
Bagwell	0.113646
Aurilia	0.113627
"Gary Sheffield"	0.113317
"Darin Erstad"	0.113284
"Jay Bell"	0.113095
"David Ortiz"	0.112973
"Gerald Williams"	0.112735
Konerko	0.112654
Nevin	0.112529
"Matt Luke"	0.112358
"Benny Agbayani"	0.112344
"Michael Tucker"	0.112268
"Charlie Hayes"	0.112173
"Lee Stevens"	0.111999
Biggio	0.111907
Alou	0.111712
"Darren Lewis"	0.111683
"Tony Graffanino"	0.111576
McGriff	0.111252
"Manny Ramirez"	0.111017
Frye	0.110959
"Matt Stairs"	0.110779
"Todd Zeile"	0.110676
"Reggie Sanders"	0.110525
"Jason Giambi"	0.11046
"Mark McLemore"	0.110456
"Luis Castillo"	0.110264
"Corey Koskie"	0.110232
DeShields	0.109981
"Troy Glaus"	0.10984
"John Mabry"	0.10983
Alfonzo	0.109544
"Royce Clayton"	0.109276
"Tyler Houston"	0.108667
"Jose Vidro"	0.108616
Sexson	0.108537
"Larry Walker"	0.108516
"Ricky Ledee"	0.108503
Segui	0.108327
"Henry Rodriguez"	0.108201
"Lance Berkman"	0.107824
"Shawn Green"	0.107774
Renteria	0.107473
Ordonez	0.106725
"Devon White"	0.106572
"Steve Finley"	0.106558
"Jay Buhner"	0.106297
"Mike Lamb"	0.106124
Bordick	0.106088
"Jim Thome"	0.105866
"John Olerud"	0.105748
"Chili Davis"	0.105588
Posada	0.105509
Cedeno	0.105435
"Garret Anderson"	0.105252
"Rob Ducey"	0.105073
Velarde	0.105063
"Kevin Jordan"	0.105062
"Paul LoDuca"	0.104949
"Edgar Renteria"	0.104939
"Trot Nixon"	0.104928
"Angel Pena"	0.10486
Giambi	0.104829
"Pat Burrell"	0.104584
"Greg Colbrunn"	0.104427
"Brady Anderson"	0.104305
"Scott Rolen"	0.104099
"Jon Nunnally"	0.103801
Hidalgo	0.103795
"Raul Mondesi"	0.103728
"Jose Canseco"	0.103691
"Eric Young"	0.103678
"Kevin Stocker"	0.103512
"Miguel Tejada"	0.103459
"Fernando Vina"	0.103222
"Damon Buford"	0.103197
Lofton	0.103031
"Danny Bautista"	0.102682
"Wil Cordero"	0.102645
Alomar	0.102523
"Kevin Elster"	0.102053
"Jay Payton"	0.101732
Palmeiro	0.101708
"Rickey Henderson"	0.101654
"Carlos Baerga"	0.101643
"Rich Aurilia"	0.101596
"Drayton McLane Jr."	0.101528
"Jeremy Giambi"	0.101516
Glaus	0.101337
"Mike Cameron"	0.100579
"Craig Counsell"	0.100488
"Edgar Martinez"	0.100232
"Raul Ibanez"	0.100136
"Quinton McCracken"	0.100112
"Craig Paquette"	0.100059
"F.P Santangelo"	0.100033
))
("Brad Faxon" (desc 2361.16) (sims
"Fred Couples"	0.240192
"Nick Price"	0.228634
"Stewart Cink"	0.222598
"Andrew Magee"	0.222473
"Paul Azinger"	0.206876
"Jim Furyk"	0.203828
"Ernie Els"	0.198141
"John Daly"	0.197961
"Lee Janzen"	0.197852
"Steve Pate"	0.195619
"Jeff Sluman"	0.192725
"Justin Leonard"	0.19209
"Mark Calcavecchia"	0.187561
"Hal Sutton"	0.186136
"Billy Mayfair"	0.18167
"Phil Mickelson"	0.173411
"Rocco Mediate"	0.173213
"Davis Love III"	0.172364
"Scott Hoch"	0.171608
"Tom Kite"	0.169662
"Stuart Appleby"	0.167378
"Bob Estes"	0.165096
"Vijay Singh"	0.162931
"Jeff Maggert"	0.162498
"Larry Mize"	0.160475
"David Duval"	0.160394
"Craig Stadler"	0.160142
"Tom Lehman"	0.159934
"Fred Funk"	0.15285
"Steve Elkington"	0.152362
"Mark O'Meara"	0.148109
"John Huston"	0.147736
"Bill Glasson"	0.147194
"Nick Faldo"	0.144363
"Scott Verplank"	0.14371
"Greg Norman"	0.141813
"Loren Roberts"	0.140715
"Billy Andrade"	0.135605
"Jesper Parnevik"	0.135028
"Tom Watson"	0.134317
"Payne Stewart"	0.133494
"John Cook"	0.132319
"Tim Herron"	0.132118
"Darren Clarke"	0.130806
"Shigeki Maruyama"	0.128013
"Colin Montgomerie"	0.127421
"Carlos Franco"	0.124484
"Chris Perry"	0.123057
"Mark Brooks"	0.116476
"Steve Stricker"	0.115926
"Davis Love"	0.115138
"Corey Pavin"	0.111908
"Tiger Woods"	0.107849
"Peter Jacobsen"	0.107491
"Olin Browne"	0.107322
"Craig Parry"	0.102837
"David Frost"	0.101917
"Lee Westwood"	0.101209
"Miguel Angel Jimenez"	0.0997962
"Steve Jones"	0.0975417
"Sergio Garcia"	0.0974702
Elkington	0.0970318
"Jay Haas"	0.0954715
Mickelson	0.0867244
"Frank Nobilo"	0.0845507
"Jose Maria Olazabal"	0.0838266
Singh	0.0810438
Stricker	0.0802147
Janzen	0.0798496
"Bernhard Langer"	0.0765785
BEGAY	0.0741565
"HANK KUEHNE"	0.0741143
Lawrie	0.0739741
el	0.0716351
"Curtis Strange"	0.0705628
"Larry Nelson"	0.069516
Duval	0.0689452
"Casey Martin"	0.0684659
Maggert	0.0676564
O'Meara	0.0655035
"Bob Tway"	0.0650931
Jacobsen	0.0610787
"Billy Wilder"	0.0593146
Maruyama	0.0583017
Montgomerie	0.057881
Cink	0.0570588
Stadler	0.056727
Sutton	0.0541842
Parnevik	0.0539401
"Ben Crenshaw"	0.053896
Gogel	0.0537135
Furyk	0.0533236
Chamblee	0.053196
"Scott Dunlap"	0.0529229
Ashrawi	0.0516701
Karlsson	0.051041
"Raymond Floyd"	0.0508018
Dougherty	0.0501806
"Dottie Pepper"	0.0498746
"Mike Weir"	0.0496963
Hoch	0.0493369
"Jack Nicklaus"	0.0486948
"Annika Sorenstam"	0.0483522
"Lee Trevino"	0.0479974
Alfredsson	0.0475762
"Fuzzy Zoeller"	0.0474137
"Andrew Coltart"	0.0468639
"Princess Anne"	0.0467638
Gump	0.0465277
Inman	0.0460537
"Johnny Miller"	0.0455977
Aoki	0.0455171
Lehman	0.0452678
Faldo	0.0446238
Magee	0.0446002
"Thomas Bjorn"	0.0445813
Barbour	0.0440865
Leonard	0.044039
Tanaka	0.043952
"Karrie Webb"	0.043403
"Ben Hogan"	0.0431893
Mallon	0.0430872
Hendrickson	0.0425538
Jimenez	0.0422894
Andreychuk	0.042228
Anand	0.0420456
Mayfair	0.0412308
Westwood	0.0412221
"Anita DeFrantz"	0.0408287
Salazar	0.0407492
"Kirk Triplett"	0.0406254
"Ziggy Palffy"	0.0405309
Cao	0.0404444
Azinger	0.0402324
"Dan Meridor"	0.0400119
))
("Brad Friedel" (desc 1126.3) (sims
"Tom Presthus"	0.317378
"Kasey Keller"	0.293231
"Kevin Hartman"	0.282913
"Jorge Campos"	0.263055
"Drazen Ladic"	0.248032
"David Seaman"	0.247127
"Tony Meola"	0.2441
"Peter Schmeichel"	0.23555
"Mikhail Shtalenkov"	0.230151
"Zach Thornton"	0.227919
"Briana Scurry"	0.222354
"Angelo Peruzzi"	0.221152
"Gianluca Pagliuca"	0.205237
"Fred Brathwaite"	0.203598
"Fabien Barthez"	0.193986
"Jocelyn Thibault"	0.181652
"Steve Shields"	0.180122
"Mark Bosnich"	0.178965
"Manny Fernandez"	0.177007
Taffarel	0.170649
"Walter Zenga"	0.1703
"Sean Burke"	0.164638
"John Vanbiesbrouck"	0.164388
"Norm Maracle"	0.162485
Schmeichel	0.159671
"Jose Luis Chilavert"	0.158861
"Dan Cloutier"	0.153876
"Guy Hebert"	0.144265
"Trevor Kidd"	0.140985
"Claudio Reyna"	0.135634
"Tommy Salo"	0.133922
"Manny Legace"	0.128522
"Roman Turek"	0.127231
"Tom Barrasso"	0.124927
"Rob Tallas"	0.123168
"Felix Potvin"	0.120822
"Arturs Irbe"	0.116682
"Steve McManaman"	0.11665
"Mike Vernon"	0.116648
"Bill Ranford"	0.116611
Barrasso	0.112798
"Jamie Storr"	0.111859
"Mike Richter"	0.10988
"Richard Wright"	0.109738
"Chris Osgood"	0.104887
"Stephane Fiset"	0.101976
"Olaf Kolzig"	0.0961491
"Ron Tugnutt"	0.0953129
"Grant Fuhr"	0.0948514
"John Grahame"	0.0939903
Chilavert	0.0932141
Tapia	0.0917514
"Damian Rhodes"	0.0854824
Salo	0.0848489
"Alexi Lalas"	0.0833749
"John Harkes"	0.083239
Ranford	0.0830519
"Robbie Fowler"	0.0810003
Legace	0.0808615
"Martin Brodeur"	0.0806017
"Damon Huard"	0.0802467
"Byron Dafoe"	0.0793423
"Tiffeny Milbrett"	0.0790589
Grahame	0.0769916
Campos	0.0767079
Ince	0.0766868
Preki	0.0757931
"Kevin Mathis"	0.073977
Hebert	0.0735941
"Curtis Joseph"	0.0735818
Fiset	0.0735055
Tallas	0.0724922
"Tab Ramos"	0.0716725
"Michael Weiss"	0.070555
Vanbiesbrouck	0.070299
"F.A Cup"	0.0700899
Storr	0.0689282
Shields	0.0680267
Turek	0.0676668
"Doug Pederson"	0.0658781
Thibault	0.065752
"Robin Fraser"	0.0656338
"Tony Graziani"	0.0656059
"Nikolai Khabibulin"	0.0639265
Tarango	0.0634078
"Ed Belfour"	0.0632709
Dafoe	0.0626505
"Eddie Pope"	0.0620841
"Scott Zolak"	0.061913
Kolzig	0.0618089
"Dominik Hasek"	0.06137
"two pitchers"	0.0590759
serviceman	0.0590374
oilmen	0.0590051
"Tony Hutson"	0.0583855
Roussel	0.0565391
"Phillippi Sparks"	0.0558054
"Simona Amanar"	0.0548704
Richter	0.0547832
Gaither	0.0546532
"Patrick Roy"	0.054605
"Michael Owen"	0.0539756
"intelligence analyst"	0.053759
"Dave Brown"	0.0535487
Brodeur	0.0530559
"Department of State"	0.052917
"Steve Campbell"	0.0529025
Potvin	0.0522276
"Mia Hamm"	0.0521396
backpacker	0.0520427
"Steve DeBerg"	0.0516587
infantrymen	0.0514924
"football league"	0.0514709
Khabibulin	0.0508694
"Kim Batten"	0.0506149
"Mark Boucher"	0.0505907
"Ron Brown"	0.0499409
"Erik Kramer"	0.0497672
"Paul Justin"	0.0496657
Stolle	0.0495379
Osgood	0.0488438
"Ty Detmer"	0.0484497
"Jason Garrett"	0.0481692
"Eric Wynalda"	0.0480713
Reyna	0.0479807
collegian	0.047911
Sayonara	0.0475924
Montalvo	0.0475586
"Alexandra Stevenson"	0.0475263
AEK	0.0474675
"Eric Zeier"	0.0472213
"Kristine Lilly"	0.0471757
Boucher	0.0471654
oddsmakers	0.0470557
Seaman	0.0470353
"Marcus Outzen"	0.0468452
"Jeff Garcia"	0.0466736
"maritime law"	0.0465872
"Gianluca Pozzi"	0.0465452
"Luis Sojo"	0.0463675
Likhovtseva	0.0463215
postseasons	0.04608
"Bubby Brister"	0.0460107
skydiver	0.0459455
"Einar Diaz"	0.0458063
Spadea	0.0455729
"Gus Frerotte"	0.045546
"Glenn Foley"	0.0454398
"Jeff Agoos"	0.0453619
Damm	0.0452776
Dunham	0.0451917
"Secretary of Commerce"	0.0449447
"feminist movement"	0.0445597
Gimelstob	0.0444639
"David Dellucci"	0.0443816
"JOHN FRIESZ"	0.0443585
"Jessie Tuggle"	0.0441752
Polgar	0.0439931
"Hidetoshi Nakata"	0.0439382
"Kent Graham"	0.0439133
"Eric Murdock"	0.0437301
miler	0.0436664
Huskers	0.0436256
"Joe Kleine"	0.0436207
"debt market"	0.0434784
businesswomen	0.0434632
"War Chant"	0.0433554
"American Todd Martin"	0.0432469
"Charlie Williams"	0.0430795
Gambill	0.0430712
"Yu Zhuocheng"	0.0430429
"Thomas Dooley"	0.0428861
"GERONIMO BERROA"	0.0427232
"William S. Cohen"	0.0426976
"Chad Kreuter"	0.0424493
"security interest"	0.0422901
"Andres Gomez"	0.0419574
"Wang Yifu"	0.0418215
Blackburn	0.0418087
Fuhr	0.0414208
arch-rivals	0.0413212
titlists	0.0413021
Burnitz	0.0412723
"Marcelo Filippini"	0.0412213
"Jerome Kersey"	0.041137
"Wang Tao"	0.0410094
cager	0.0409762
"FA Cup"	0.040926
"pass catcher"	0.0409166
"Gregg Zaun"	0.0409128
MISSES	0.0408249
"Bobby Rahal"	0.0406729
"Jeff Williams"	0.0406647
"John Fox"	0.0405921
"trade embargo"	0.0404759
airmen	0.0404736
"Miriam Oremans"	0.0402087
"Neville Godwin"	0.0401555
))
("Brad Fullmer" (desc 1616.53) (sims
"Jose Cruz Jr."	0.305054
"Tony Batista"	0.280313
"Mike Sweeney"	0.277166
"Jose Vidro"	0.270379
"Erubiel Durazo"	0.264026
"Derrek Lee"	0.243635
"Mark Loretta"	0.241861
"John Jaha"	0.233443
"Willie Greene"	0.231765
"Raul Ibanez"	0.2285
"Ron Coomer"	0.228099
"Scott Spiezio"	0.226639
"Kevin Jordan"	0.224157
"Darrin Fletcher"	0.222806
"David Ortiz"	0.222722
"Jeremy Giambi"	0.221633
Batista	0.221411
"Eric Owens"	0.211577
"Shannon Stewart"	0.209781
"Jeff Conine"	0.206309
"Kevin Young"	0.203894
"J.T Snow"	0.199459
"Andy Fox"	0.194958
"Brook Fordyce"	0.194478
"Chris Widger"	0.19412
"Carlos Delgado"	0.193286
"John Vander Wal"	0.192336
"Todd Walker"	0.192227
"David Dellucci"	0.191996
"Craig Paquette"	0.190891
"Dave Martinez"	0.189466
"Marvin Benard"	0.188354
"Paul Konerko"	0.187851
"Damian Miller"	0.186539
"Russ Johnson"	0.185992
"Shawn Green"	0.185472
"Lee Stevens"	0.184961
"Wally Joyner"	0.184288
"Rondell White"	0.180795
"David Segui"	0.179175
"Bobby Abreu"	0.178754
"Charlie Hayes"	0.178703
"Jason Giambi"	0.178105
"Rico Brogna"	0.177571
"Kelly Stinnett"	0.176889
"Frank Catalanotto"	0.176778
"Brian Daubach"	0.176615
"Geoff Jenkins"	0.17585
"Tony Fernandez"	0.175367
"Pat Burrell"	0.174383
"Mike Simms"	0.174351
"Rich Becker"	0.174165
"Eric Chavez"	0.174018
"Jose Valentin"	0.173605
"Matt Luke"	0.172736
"Travis Lee"	0.172112
"Dean Palmer"	0.17187
"Doug Glanville"	0.171797
"Jeff King"	0.171571
"Eddie Taubensee"	0.170333
Vidro	0.169959
"Greg Colbrunn"	0.169805
"Matt Franco"	0.169665
"Deivi Cruz"	0.169156
"Mike Stanley"	0.168808
"Phil Nevin"	0.168324
"Ray Durham"	0.167296
"Todd Helton"	0.167135
"Corey Koskie"	0.166738
"Todd Pratt"	0.166115
"Jermaine Dye"	0.165996
"Matt Stairs"	0.165578
"Marty Cordova"	0.165552
"Will Clark"	0.16546
"Rob Ducey"	0.165331
"Luis Lopez"	0.165194
"Quinton McCracken"	0.164804
"Richie Sexson"	0.16397
"Chris Gomez"	0.163275
"Cliff Floyd"	0.163066
"Magglio Ordonez"	0.16246
"Matt Lawton"	0.162367
"Jose Guillen"	0.162353
"Fred McGriff"	0.16167
"Joe Randa"	0.161569
"Bobby Higginson"	0.161381
Rolen	0.160783
"Mike Bordick"	0.160565
"Jeff Huson"	0.160135
"Jose Hernandez"	0.160059
"Jeffrey Hammonds"	0.159996
"Mickey Morandini"	0.159574
"Lenny Harris"	0.158892
"Butch Huskey"	0.158158
Aurilia	0.156273
Randa	0.155998
"Dave Hollins"	0.155713
"Alex Gonzalez"	0.154908
"Mike Lieberthal"	0.154539
"Mike Lamb"	0.15449
"Tony Clark"	0.153915
"Cecil Fielder"	0.153667
"Reggie Jefferson"	0.153646
Tatis	0.152805
"Tony Graffanino"	0.152621
"Carlos Lee"	0.152066
"Jon Nunnally"	0.151839
"Mark Kotsay"	0.151809
"Shane Andrews"	0.151409
"Dmitri Young"	0.151348
"Scott Hatteberg"	0.150942
"Terrence Long"	0.150218
"Herbert Perry"	0.150119
"Wil Cordero"	0.149523
"Damian Jackson"	0.14895
Abreu	0.147759
"Dave Hansen"	0.147571
"Scott Rolen"	0.14741
"Daryle Ward"	0.147143
"Benny Agbayani"	0.14653
"Travis Fryman"	0.145778
"Preston Wilson"	0.145722
"Vladimir Guerrero"	0.145711
"Neifi Perez"	0.145704
"Sean Berry"	0.144219
Nevin	0.144216
"Quilvio Veras"	0.144125
"Damion Easley"	0.143841
"Matt Mieske"	0.143639
"Sean Casey"	0.142736
"Luis Polonia"	0.142559
"Tyler Houston"	0.142552
"Luis Castillo"	0.142326
"Stan Javier"	0.141643
"Karim Garcia"	0.141588
"Wilton Veras"	0.141249
"Tim Salmon"	0.140905
"Luis Gonzalez"	0.140472
"Adam Kennedy"	0.140126
Delgado	0.140097
"Jay Payton"	0.139422
Giambi	0.138877
"CARLOS HERNANDEZ"	0.138539
"Bubba Trammell"	0.138467
Higginson	0.138339
"Miguel Tejada"	0.138239
"Ellis Burks"	0.138097
"John Mabry"	0.138074
"Bill Mueller"	0.137743
"Jason Varitek"	0.137409
"Eric Karros"	0.137354
"Tony Eusebio"	0.137348
"Frank Thomas"	0.136967
"Ricky Gutierrez"	0.13682
Fullmer	0.136676
"Carlos Baerga"	0.136503
"Lance Berkman"	0.13646
Lieberthal	0.136403
"Mark Grace"	0.136372
"Dante Bichette"	0.135872
"Todd Greene"	0.135774
"Ray Lankford"	0.135484
"Johnny Damon"	0.134808
"Jeff Cirillo"	0.134578
"Gregg Zaun"	0.134432
Mabry	0.133884
Lankford	0.133649
"Craig Counsell"	0.13361
"Harold Baines"	0.133279
"Ed Sprague"	0.132947
Burnitz	0.13233
"Luis Alicea"	0.132307
"Jim Thome"	0.1321
"Jeff Bagwell"	0.132018
"Brian McRae"	0.131966
"Jay Bell"	0.131599
McGriff	0.130768
"Tino Martinez"	0.130176
"Orlando Palmeiro"	0.130161
"Randall Simon"	0.129845
Sexson	0.1293
"Tim Bogar"	0.129149
"Tom Lampkin"	0.128921
"Carlos Beltran"	0.128906
"Ruben Rivera"	0.127824
"Pat Meares"	0.127802
"Desi Relaford"	0.127051
"Mike Benjamin"	0.12694
"Marquis Grissom"	0.126747
"Rich Aurilia"	0.126742
"Glenallen Hill"	0.126725
"Ryan Klesko"	0.126368
"Troy Glaus"	0.125914
"Keith Lockhart"	0.12582
"Raul Mondesi"	0.125736
"Michael Tucker"	0.125639
"Kurt Abbott"	0.124863
"Wade Boggs"	0.124754
"Bobby Estalella"	0.124581
"Gregg Jefferies"	0.124528
"Richard Hidalgo"	0.124027
"Warren Morris"	0.123977
"Henry Rodriguez"	0.123785
"Jose Canseco"	0.122588
"Edgar Renteria"	0.122546
"Jeff Kent"	0.122237
"Mitch Meluskey"	0.121482
Glaus	0.12091
"Rafael Palmeiro"	0.120856
"Fernando Tatis"	0.120146
Veras	0.120117
"Chili Davis"	0.120076
Cirillo	0.119704
"Gerald Williams"	0.118922
"Bill Spiers"	0.118802
"Miguel Cairo"	0.11847
"John Olerud"	0.118318
"Danny Bautista"	0.117643
"Ben Grieve"	0.117618
"Edgar Martinez"	0.117544
"Ken Caminiti"	0.117457
"Brent Mayne"	0.117138
"Cristian Guzman"	0.116922
"Brian Hunter"	0.116882
"Rafael Furcal"	0.116702
Glanville	0.116592
Karros	0.116562
Trammell	0.115961
"Brady Anderson"	0.115506
"Peter Bergeron"	0.115402
"Brad Ausmus"	0.114956
"Delino DeShields"	0.114906
"Joe Carter"	0.114823
"Chipper Jones"	0.114736
"Russ Davis"	0.114436
"Mike Lansing"	0.114408
"Carlos Febles"	0.114304
Merloni	0.114289
Agbayani	0.114025
"Andres Galarraga"	0.11389
"Vinny Castilla"	0.11373
"Trot Nixon"	0.113589
"Mike Lowell"	0.113268
Gilkey	0.112962
"Charles Johnson"	0.112393
Velarde	0.112142
"Jim Leyritz"	0.111969
"Bobby Smith"	0.111756
Klesko	0.111309
"Darin Erstad"	0.111209
"J.D Drew"	0.111018
"Craig Biggio"	0.110528
"Edgardo Alfonzo"	0.110099
"Bruce Aven"	0.109273
"Reggie Sanders"	0.108313
"Mark Johnson"	0.107947
"Ron Gant"	0.107559
Zeile	0.107401
"Mark Smith"	0.107195
"Damon Buford"	0.107146
"Juan Encarnacion"	0.10713
"Fernando Vina"	0.107079
"Clay Bellinger"	0.106848
Alfonzo	0.106306
Erstad	0.106187
"Adrian Beltre"	0.105959
Bagwell	0.105939
"Jose Offerman"	0.105849
"Tom Goodwin"	0.105674
"Bengie Molina"	0.105638
"Carl Pavano"	0.105339
"Steve Finley"	0.105289
Fryman	0.105253
"Troy O'Leary"	0.105146
"Wilton Guerrero"	0.105144
"Todd Zeile"	0.104907
Baines	0.104859
"Matt Walbeck"	0.104835
"Jason Kendall"	0.104528
"David Bell"	0.104439
"Melvin Mora"	0.104231
"Derek Bell"	0.103822
"Trenidad Hubbard"	0.103315
"Mark McLemore"	0.103196
"Jorge Posada"	0.102903
"Jorge Fabregas"	0.102791
"Rusty Greer"	0.102608
Renteria	0.102358
"Gary Sheffield"	0.102218
"Matt Williams"	0.102141
Elster	0.102135
"Manny Alexander"	0.101995
"Joe McEwing"	0.101847
"Javy Lopez"	0.101073
"Carl Everett"	0.10103
"Aaron Boone"	0.100799
"Shane Spencer"	0.100647
"Brian Giles"	0.100334
"Bret Boone"	0.100237
"Jeromy Burnitz"	0.100214
Hollandsworth	0.100187
))
("Brad Isbister" (desc 1641.59) (sims
"Juha Ylonen"	0.297444
"Greg Adams"	0.23808
"Bob Corkum"	0.219219
"Mike Sullivan"	0.21133
"Shane Doan"	0.19478
"Rick Tocchet"	0.172226
"Oleg Tverdovsky"	0.159164
"Dallas Drake"	0.155055
"Jyrki Lumme"	0.147931
"Keith Tkachuk"	0.140343
"Geoff Sanderson"	0.139334
"Dave Andreychuk"	0.134871
"Pavol Demitra"	0.130224
"Gary Roberts"	0.12896
"Ken Belanger"	0.127402
"Wendel Clark"	0.122743
"Olli Jokinen"	0.122562
"Brendan Shanahan"	0.120609
"Teppo Numminen"	0.118919
"Jeff Friesen"	0.116891
"Landon Wilson"	0.115554
"Rob DiMaio"	0.115356
"Jeremy Roenick"	0.113888
"Matt Johnson"	0.113459
"Ted Donato"	0.111944
"Darren McCarty"	0.109261
"Valeri Kamensky"	0.108359
"Steve Heinze"	0.107586
"Travis Green"	0.105766
"Dixon Ward"	0.103965
"P.J Axelsson"	0.102444
"Niklas Sundstrom"	0.10212
Hlavac	0.100339
"Milan Hejduk"	0.0915005
"Dave Reid"	0.0905532
"Kirk Muller"	0.0894428
"John LeClair"	0.0881495
"Anson Carter"	0.0878318
"Patrik Elias"	0.0873777
"Bill Guerin"	0.0858218
"Cliff Ronning"	0.0854414
"Jay Pandolfo"	0.0850352
"Sergei Samsonov"	0.0841256
"Kris Clack"	0.0832276
"Jere Lehtinen"	0.0829045
"Jamie Langenbrunner"	0.0825744
"Adam Deadmarsh"	0.0824515
"Joe Thornton"	0.0817349
"Harry Kewell"	0.0809365
"Raul Diaz Arce"	0.0802189
"Robert Reichel"	0.0798974
"Chris Crawford"	0.0795807
"Nikolai Khabibulin"	0.0795168
"Scot Pollard"	0.0792034
"ZIGMUND PALFFY"	0.0783691
"Joe Juneau"	0.0783027
"Thierry Henry"	0.0778825
"Luc Robitaille"	0.0777037
"Alexei Kovalev"	0.0761469
"Bonzi Wells"	0.075431
"Richard Jefferson"	0.0751108
"Tony Amonte"	0.0749213
"Todd Harvey"	0.0748928
"Mike Miller"	0.0748576
"Blake Sloan"	0.0742538
"Pat Garrity"	0.0736569
"Dejan Stankovic"	0.0730883
"Vladimir Tsyplakov"	0.0727399
"Hu Weidong"	0.0727195
"Ante Razov"	0.0722944
"Grant Marshall"	0.0722235
"Benoit Hogue"	0.0717319
"Shannon MacMillan"	0.0716309
"Steve Thomas"	0.0713657
"Tracy McGrady"	0.0706246
"Chris Anstey"	0.0704663
"Alexander Mogilny"	0.0701353
"Matthew Barnaby"	0.0699835
"Scott Thornton"	0.0695124
"Brian Laudrup"	0.0694072
"Pat Verbeek"	0.0692039
"Theo Fleury"	0.0691795
"Clarence Weatherspoon"	0.0689955
"Chris Carrawell"	0.0688808
"Donald Brashear"	0.0680936
"Donald Audette"	0.0672757
"Brenden Morrow"	0.0670159
"Dirk Nowitzki"	0.0664568
"Kenny Thomas"	0.0662997
"Kevin Freeman"	0.0660036
"Matt Bullard"	0.0655906
"Craig Johnson"	0.0654425
"Jelani McCoy"	0.0650853
"Paul Kariya"	0.0648329
"Rashard Lewis"	0.0646399
"Don Maclean"	0.0645239
"Raul Gonzalez"	0.0640772
"Meretz Party"	0.0637037
"Austin Croshere"	0.063076
"Danny Manning"	0.0630405
"David Trezeguet"	0.0627218
"Samaki Walker"	0.0626087
"Gabe Muoneke"	0.0623617
"Mike Keane"	0.0622045
"Tiffeny Milbrett"	0.0612962
"SCOTT BURRELL"	0.0611453
"Faustino Asprilla"	0.0611197
"Chris Gatling"	0.0610022
"DeLisha Milton"	0.0609743
"Tyrone Nesby"	0.060967
"Roy Lassiter"	0.0609323
Tkachuk	0.0608288
"Brian Rolston"	0.0606634
"Claude Lemieux"	0.0605587
"Stern John"	0.0602448
"Dmitri Khristich"	0.0602343
"Keith Van Horn"	0.0599532
"Marc Overmars"	0.0595821
"Tamika Catchings"	0.0595736
"Miroslav Satan"	0.0593595
"Jarvis Turner"	0.0593356
"Bobby Phills"	0.0592078
"Corliss Williamson"	0.0591898
"Nelson Emerson"	0.0591349
"Othella Harrington"	0.0586626
"Jermaine O'Neal"	0.0582794
"Ruben Patterson"	0.0578523
"Lamond Murray"	0.0577534
"Michael Wright"	0.0573792
"Sergei Fedorov"	0.0573649
"Carlos Hermosillo"	0.0573588
"Patrik Stefan"	0.057244
"Brian McBride"	0.0571466
"Mike Brown"	0.0570129
"Tore Andre Flo"	0.0569099
"Ziggy Palffy"	0.0568127
"Alan Henderson"	0.0561328
"Owen Nolan"	0.0560954
"Vincent Damphousse"	0.056093
"Adrian Ilie"	0.0560163
"Brian Scalabrine"	0.0558467
"Tony Battie"	0.0556606
"Predrag Mijatovic"	0.0554726
"Dominique Wilkins"	0.0553771
"Mathieu Schneider"	0.055028
Polgar	0.0548559
"Hao Haidong"	0.0544168
"Cindy Parlow"	0.0543931
"Jason Kapono"	0.054376
"Peter Forsberg"	0.0542701
"Tim Thomas"	0.054146
"Chris Mullin"	0.0540328
"Donyell Marshall"	0.0538898
"Maurice Taylor"	0.0538292
"Grant Long"	0.0535136
"Raef LaFrentz"	0.053499
"Paul Scholes"	0.0533876
"Shawn Marion"	0.0533836
"Ian Wright"	0.0532007
"Garry Galley"	0.0530263
"Dale Hunter"	0.0529034
"Horace Grant"	0.0528388
"Otis Thorpe"	0.0524765
Sissi	0.052415
"Aaron Gavey"	0.0523059
"LaPhonso Ellis"	0.0522078
"Ron Artest"	0.0521401
"Joe Nieuwendyk"	0.0519265
"Rodney Rogers"	0.0511076
"Pavel Bure"	0.0511002
"Glen Murray"	0.0510282
"Jeff Trepagnier"	0.0509891
"Terry Cummings"	0.0509144
"Clint Mathis"	0.0508712
Welton	0.0506145
"Glenn Robinson"	0.0504672
"Sam Clancy"	0.0502906
"John Wallace"	0.0501658
"Chris Drury"	0.0501572
Suker	0.0500997
"Chris Porter"	0.050024
"Tina Thompson"	0.0499636
"Clifford Robinson"	0.049836
"Tariq Abdul-Wahad"	0.0497524
"Michael Finley"	0.0496879
Atler	0.0493587
"Khodadad Azizi"	0.0493439
"Dale Davis"	0.0492835
"Danny Fortson"	0.0491551
"Juwan Howard"	0.0490811
"Paul Pierce"	0.049042
"Oliver Bierhoff"	0.0489393
"Morris Peterson"	0.048912
"Ronald de Boer"	0.0485002
"Corey Maggette"	0.0484735
"Sean Elliott"	0.0483477
"Teemu Selanne"	0.0483333
"Dejan Savicevic"	0.0483256
"Jamie Feick"	0.0480743
"Jumaine Jones"	0.0480481
))
("Brad Johnson" (desc 4215.27) (sims
"Jeff George"	0.237204
"Ty Detmer"	0.196491
"Trent Green"	0.19346
"Chris Chandler"	0.192331
"JOHN FRIESZ"	0.189215
"Dave Brown"	0.18285
"Erik Kramer"	0.176395
"Todd Husak"	0.17501
"Glenn Foley"	0.173787
"Mark Brunell"	0.16457
"Rich Gannon"	0.164383
"Kent Graham"	0.157121
"Jarious Jackson"	0.156168
"Randall Cunningham"	0.154855
"Gus Frerotte"	0.150955
"Ryan Kealy"	0.149065
"Jeff Blake"	0.147444
"Bobby Newcombe"	0.144323
"Charlie Batch"	0.142797
"Troy Aikman"	0.142622
"Tony Banks"	0.141871
"Vinny Testaverde"	0.141311
"Jim Harbaugh"	0.141117
"Steve Young"	0.140146
"Doug Flutie"	0.137713
"Cris Carter"	0.137453
"Drew Bledsoe"	0.137065
"Rob Johnson"	0.136952
"Brett Favre"	0.13506
"Rodney Peete"	0.13178
"Bubby Brister"	0.130663
"Elvis Grbac"	0.130572
"Paul Justin"	0.12929
"Doug Pederson"	0.129246
"Dan Marino"	0.12817
"Chris Weinke"	0.12589
"Brian Griese"	0.124576
"Jake Plummer"	0.122975
"Tony Graziani"	0.12272
"Damon Huard"	0.120124
"Warren Moon"	0.119946
Grbac	0.119647
"Tee Martin"	0.119373
"Doug Johnson"	0.117692
Favre	0.117383
"Jon Kitna"	0.11725
"Eric Zeier"	0.113793
"Drew Bennett"	0.110919
"Steve McNair"	0.107838
"Trent Dilfer"	0.106793
"Steve Beuerlein"	0.106459
"Peyton Manning"	0.10527
"Brock Huard"	0.105002
"Mike Van Raaphorst"	0.104423
"Quincy Carter"	0.104041
"Neil O'Donnell"	0.103322
"Stephen Davis"	0.103073
"John Elway"	0.10184
"Steve DeBerg"	0.101303
"Bobby Hoying"	0.101173
"Ryan Leaf"	0.101104
"Robert Smith"	0.100684
"Skip Hicks"	0.100278
"Marcus Outzen"	0.100011
Dilfer	0.0996477
"Rick Mirer"	0.0994124
"Daunte Culpepper"	0.0993813
"Carson Palmer"	0.0976362
"Van Raaphorst"	0.0975074
"Scott Mitchell"	0.0966813
"Phil Simms"	0.0962548
"Kerry Collins"	0.0960584
"Chris Simms"	0.0950211
"Jeff Garcia"	0.0944153
Aikman	0.0937581
"Drew Henson"	0.0932546
"Akili Smith"	0.0930962
"Danny Kanell"	0.0924705
"Jim Druckenmiller"	0.0922993
"Randy Moss"	0.0921979
"Kurt Warner"	0.0914911
"Jason Garrett"	0.08944
"Tom Brady"	0.0887781
"John Fox"	0.0885917
"Darrell Green"	0.0880104
Weinke	0.0878396
"Joe Montana"	0.0871443
"Kordell Stewart"	0.0867661
"Major Applewhite"	0.0863994
"Steve Shields"	0.0863077
Applewhite	0.0855757
Brunell	0.0855431
"Brian Billick"	0.0852346
"Cory Paus"	0.0844348
"Everett McIver"	0.0830777
"Erik Williams"	0.0828147
"Jake Reed"	0.0825008
"Ryan McCann"	0.0819679
"Terry Allen"	0.0811842
Hasselbeck	0.0810394
Kanell	0.080935
Plummer	0.0808048
"Manny Fernandez"	0.0797757
"Cade McNown"	0.0792253
"Joey Galloway"	0.0787469
"John Randle"	0.078139
"Joe Hamilton"	0.0773185
"Angelo Peruzzi"	0.0758639
"Antonio Freeman"	0.0756358
"Michael Bishop"	0.0749547
"Ronnie Bradford"	0.0748743
"Terry Bradshaw"	0.0742676
"Eric Milton"	0.0741348
"Roman Turek"	0.0722519
"Tim Couch"	0.0721046
McCown	0.0716423
"Derrick Mayes"	0.0715044
Manning	0.0704612
"Roger Staubach"	0.0704386
Flutie	0.0700483
Kitna	0.0699934
"Jesse Orosco"	0.069563
"Jack McDowell"	0.0695563
"Jim Kelly"	0.0693277
Huard	0.0689781
"Chad Pennington"	0.0687093
Elway	0.0685861
Pederson	0.0684876
"Donovan McNabb"	0.0682675
"Champ Bailey"	0.0679505
"Michael Irvin"	0.0679323
Chandler	0.0678408
"Michael Westbrook"	0.0676377
Testaverde	0.0675523
"Scott Zolak"	0.0665371
"Steve Parris"	0.0664634
"Dana Stubblefield"	0.0658254
"Jarvis Turner"	0.0656212
Griese	0.0655803
Bledsoe	0.0655707
"Russ Ortiz"	0.0655483
Graziani	0.0654512
Detmer	0.0653564
"Pat Hentgen"	0.0645775
"Todd Stottlemyre"	0.0639662
"Gary Anderson"	0.0638693
"Chris Osgood"	0.0637051
"three pitchers"	0.0634012
McNown	0.0630899
"David LaFleur"	0.0630263
"Bruce Smith"	0.062788
"Barry Sanders"	0.0627697
Samuelsson	0.0622248
"Paul Abbott"	0.062194
"Danny Wuerffel"	0.0618204
"Rick Reed"	0.0616304
"Emmitt Smith"	0.0615242
"Jon Lieber"	0.0614236
"Ken Hill"	0.0612304
"Ray Lucas"	0.0606337
"Shannon Sharpe"	0.0605823
"Tom Tupa"	0.0604564
"Travis Knight"	0.0602792
"Tom Gugliotta"	0.0602124
Harbaugh	0.0601801
"Larry Allen"	0.0601486
"John Vanbiesbrouck"	0.0601056
"Yancey Thigpen"	0.0600996
"Jason Sehorn"	0.0600188
"Pete Harnisch"	0.0597186
McNair	0.059681
"Kent Bottenfield"	0.0594273
Kealy	0.059251
"Brian Anderson"	0.0589841
"Jermaine Lewis"	0.0588905
Kidd	0.0588849
"Freddy Garcia"	0.0588658
"Bill Ranford"	0.0587687
"Reggie White"	0.0586063
"Shawn Estes"	0.0585288
Potvin	0.0584866
"two pitchers"	0.0584473
DeBerg	0.0584192
"Robert Edwards"	0.0583669
"Kent Mercker"	0.0583374
Marino	0.0579342
Cunningham	0.0577284
Lafleur	0.0576537
"Stephane Fiset"	0.0576488
"Keith Smith"	0.0573495
"Johnny Unitas"	0.0573416
"Tommy Salo"	0.0573064
"Derek Harper"	0.0572869
Brees	0.0570014
"Gary DiSarcina"	0.0570008
"Travis Hall"	0.056982
"Brad Radke"	0.0566767
"Jason Dickson"	0.0565941
"Scott Karl"	0.0565672
Garrett	0.0564883
))
("Brad Miller" (desc 1220.56) (sims
"Joe Kleine"	0.151058
"Derrick Coleman"	0.143861
"Todd MacCulloch"	0.137146
"Sean Rooks"	0.133053
"Yao Ming"	0.126251
"Jermaine O'Neal"	0.125885
"Wang Zhizhi"	0.125185
"Chris Taylor"	0.124686
"Brian Skinner"	0.124589
"Jelani McCoy"	0.122902
"Scot Pollard"	0.121772
"Raef LaFrentz"	0.118619
"Ron Francis"	0.116752
"Chauncey Billups"	0.116413
"John Salley"	0.115955
"Donyell Marshall"	0.115461
"Vlade Divac"	0.115028
"David Wesley"	0.113867
"Bonzi Wells"	0.113858
"Shammond Williams"	0.112864
"Tyrone Nesby"	0.11078
"Kenny Thomas"	0.110655
"Matt Geiger"	0.10972
"Cuttino Mobley"	0.109564
"Bill Haselman"	0.109109
"Elden Campbell"	0.109103
"Rashard Lewis"	0.107737
"Paul Pierce"	0.107446
"Bobby Phills"	0.10709
"Elton Brand"	0.105978
"Bill Wennington"	0.105345
"CORIE BLOUNT"	0.104754
"Chris Anstey"	0.104181
"Cliff Ronning"	0.104128
"Shannon MacMillan"	0.103776
"Greg Ostertag"	0.103664
"Chris Drury"	0.102176
"Larry Hughes"	0.102137
"Derek Anderson"	0.101416
"Rodney Rogers"	0.101286
"Doug Gilmour"	0.099908
"Travis Knight"	0.0986869
"John Wallace"	0.0973074
"Scott Gomez"	0.0971977
"Olli Jokinen"	0.0965608
"Kelvin Cato"	0.0964282
"Manny Malhotra"	0.0956809
"Austin Croshere"	0.0948426
"Zydrunas Ilgauskas"	0.0934069
"Sherman Douglas"	0.0929671
"Theo Ratliff"	0.0928501
"Chris Dudley"	0.092805
"Greg Anthony"	0.0925834
"Jennifer Gillom"	0.0922166
"Otis Thorpe"	0.0917301
"Sam Mack"	0.0913034
"Olden Polynice"	0.0912915
"Ukari Figgs"	0.0903374
"Clifford Robinson"	0.0903228
"Herb Williams"	0.0901586
"Arvydas Sabonis"	0.089659
"Antoine Carr"	0.0891821
"Antawn Jamison"	0.0877525
"Vincent Damphousse"	0.0872777
"Natalie Williams"	0.0871012
"Doug Weight"	0.0868508
"Chris Carrawell"	0.0865012
"Travis Green"	0.0863788
"Aaron Gavey"	0.086314
"Jake Voskuhl"	0.086149
"Tony Hutson"	0.0859455
"Dave Wohlabaugh"	0.0857034
"Bob Corkum"	0.0855797
"Will Perdue"	0.0851942
"B.J Armstrong"	0.0851302
"Ike Austin"	0.0849837
"Joe Thornton"	0.084193
"Clarence Weatherspoon"	0.0841882
"Brian Shaw"	0.0835528
"Ken Johnson"	0.0834207
"Samaki Walker"	0.0832438
"Ray Ferraro"	0.0825367
"Corey Maggette"	0.0821518
"Ian Laperriere"	0.0820258
"Joe Sakic"	0.0817512
"Gary Roberts"	0.0813819
"Grant Long"	0.0810015
"Jamie Feick"	0.0808272
"Michael Dickerson"	0.0807689
"Vladimir Stepania"	0.0805716
"Aaron Williams"	0.0805666
"Manny Fernandez"	0.0805209
"Pierre Turgeon"	0.0803986
"Lisa Leslie"	0.0796625
"Jim Druckenmiller"	0.0795146
"Jalen Rose"	0.0792891
"Lamond Murray"	0.0792418
"Jaren Jackson"	0.0784851
"Patrik Stefan"	0.0784842
"Einar Diaz"	0.0778778
"Ben Wallace"	0.0775907
"Chris Warren"	0.0774397
"Shandon Anderson"	0.0772746
"Shane Battier"	0.0770151
"Jimmy Oliver"	0.0767593
Hlavac	0.0765701
"Michael Redd"	0.0764408
"Curtis Brown"	0.0759193
"Bobby Estalella"	0.0756832
"Lorenzen Wright"	0.0756117
"Mike Sullivan"	0.0754895
"Sam Perkins"	0.0750363
"Drew Bennett"	0.0746508
"Ron Mercer"	0.0746218
"Yolanda Griffith"	0.0743347
"Vitaly Potapenko"	0.0740966
"Yanic Perreault"	0.0740561
"Chris Mihm"	0.0737352
"Tracy McGrady"	0.0736672
"Rafael Furcal"	0.0736427
"Eric Murdock"	0.0736028
"Steve Kerr"	0.0732755
"Eric Snow"	0.0731112
"Kenyon Martin"	0.0730363
"Etan Thomas"	0.0729903
"Brian Scalabrine"	0.0728151
"Anthony Mason"	0.0727148
"Matt Luke"	0.0720123
"Bryan Smolinski"	0.0718295
"Alan Henderson"	0.0718114
"Steve Rucchin"	0.0717357
"Eric Williams"	0.0715011
"Luis Alicea"	0.071489
"Ruben Patterson"	0.0714556
"Ryan Bailey"	0.0714503
"Terry Porter"	0.0711784
"Rony Seikaly"	0.0709183
"Kevin Willis"	0.0708605
"Michael Olowokandi"	0.0707455
"Hu Weidong"	0.0707057
"Oliver Miller"	0.0706906
"Juha Ylonen"	0.0705784
"Damien Woody"	0.0701251
"Igor Larionov"	0.0700717
"Jonathan Bender"	0.0700574
"Greg Foster"	0.0699505
"Antonio Davis"	0.069824
"Mitch Meluskey"	0.0697669
"Skip Hicks"	0.0697431
"Luc Longley"	0.0695804
QBs	0.0693376
"Mark Messier"	0.0691012
"Mike Bibby"	0.0689974
"Ephraim Salaam"	0.0689502
"Tom Brady"	0.0688927
"Darrell Armstrong"	0.0687564
"Malik Rose"	0.0686494
"Keith Van Horn"	0.0684102
"Othella Harrington"	0.0683668
"Shawn Bradley"	0.0683486
"Adam Oates"	0.0682221
"Mark Stepnoski"	0.0681262
"Joe Juneau"	0.067986
"Kurt Thomas"	0.067809
"Jerome Moiso"	0.0677088
"Dana Barros"	0.067681
"Dale Hunter"	0.0675651
"Paul LoDuca"	0.0674863
"Scott Thornton"	0.067333
"Tony Hrkac"	0.0672718
"Rik Smits"	0.0672285
"Michael Peca"	0.0670981
"Dennis Scott"	0.0669459
"Cedric Ceballos"	0.0667724
"Bruce Aven"	0.0664612
"Robert Traylor"	0.0662965
"Bobby Holik"	0.0662643
"Dan Cloutier"	0.0659821
"Ruben Mateo"	0.0656253
"Milan Hejduk"	0.0653533
"Gary Trent"	0.0650788
"Dirk Nowitzki"	0.0649433
"Ron Artest"	0.0647068
"Tina Thompson"	0.0646033
"Norm Maracle"	0.0644723
"Christian Laettner"	0.0644499
"Robert Reichel"	0.0642993
"Trenidad Hubbard"	0.0639722
"Steve DeBerg"	0.0639205
"Mats Sundin"	0.0638695
"Richard Hidalgo"	0.0636922
"Luis Sojo"	0.0635234
"Keith Brooking"	0.0634437
swingman	0.0633234
"Shawn Marion"	0.0632941
"Derek Fisher"	0.0632455
"Antoine Walker"	0.0632108
"Tamika Catchings"	0.06304
"Travis Best"	0.0629619
"Sergei Fedorov"	0.0624723
))
("Brad Penny" (desc 1335.91) (sims
"Jesus Sanchez"	0.259926
"BRIAN MEADOWS"	0.250851
"Carl Pavano"	0.245921
"Freddy Garcia"	0.244375
"Ryan Dempster"	0.241963
"Jeff Weaver"	0.234471
"Eric Milton"	0.234087
"Russ Ortiz"	0.228898
"Vladimir Nunez"	0.203897
"Brian Moehler"	0.197942
"Bruce Chen"	0.192548
"Jamey Wright"	0.1886
"Jason Bere"	0.185488
"Woody Williams"	0.184564
"Octavio Dotel"	0.184444
"Javier Vazquez"	0.183831
"Mark Gardner"	0.183521
"Jon Lieber"	0.182895
"Mike Sirotka"	0.177035
"Chris Carpenter"	0.175484
"Dustin Hermanson"	0.173502
"Gil Meche"	0.173172
"Francisco Cordova"	0.172285
"Kevin Tapani"	0.166039
"John Halama"	0.164317
"Kirk Rueter"	0.163736
"Sidney Ponson"	0.163676
"Bryce Florie"	0.163607
"Jose Jimenez"	0.162997
"Jim Parque"	0.161385
"John Burkett"	0.161309
"Ed Yarnall"	0.161171
"Matt Morris"	0.160845
"Gil Heredia"	0.159612
"Pedro Astacio"	0.159511
"John Snyder"	0.158912
"Steve Parris"	0.15424
"Ken Cloude"	0.15382
"Scott Elarton"	0.153648
Suppan	0.1519
"Byung-Hyun Kim"	0.151285
Pavano	0.150049
"Armando Reynoso"	0.149487
"Brian Rose"	0.148534
"Tim Hudson"	0.148303
"Mac Suzuki"	0.148185
"Paul Abbott"	0.147654
"Scott Schoeneweis"	0.14623
"Odalis Perez"	0.145448
"Steve Sparks"	0.144127
"STEVE WOODARD"	0.14337
"Mike Judd"	0.143051
"Wilson Alvarez"	0.142358
"Doug Davis"	0.142019
"Scott Erickson"	0.139659
"Matt Perisho"	0.139489
"Terry Mulholland"	0.138645
"Brett Hinchliffe"	0.138114
"Rolando Arrojo"	0.136751
"Pat Rapp"	0.136625
"Scott Karl"	0.136163
"Ryan Glynn"	0.135987
"Ramon Ortiz"	0.135332
"Jamie Moyer"	0.134655
"Jin Ho Cho"	0.134583
"Jason Schmidt"	0.133767
"Jarrod Washburn"	0.133219
"Shawn Estes"	0.133158
"Paul Byrd"	0.132437
"Omar Olivares"	0.132248
"Esteban Loaiza"	0.13197
"Sean Bergman"	0.1315
"Mark Langston"	0.130282
"Seth Etherton"	0.130038
"Livan Hernandez"	0.129832
"Shane Reynolds"	0.128889
"Brad Radke"	0.128343
"Mike Lowell"	0.127554
"Pat Hentgen"	0.127359
"Chan Ho Park"	0.126976
"Kent Bottenfield"	0.125814
"Eric Gagne"	0.125092
Trachsel	0.125025
"Aaron Sele"	0.124977
"Pete Harnisch"	0.123686
"Dan Miceli"	0.123677
"Dave Burba"	0.122664
"Dave Mlicki"	0.122107
"Brian Anderson"	0.12158
"Warren Morris"	0.121328
"Jason Dickson"	0.121309
"Mike Morgan"	0.121123
"Angel Pena"	0.120178
Mahomes	0.119519
"Chris Holt"	0.119291
"Joey Hamilton"	0.119076
"Alex Fernandez"	0.118639
"Mike Mussina"	0.117938
"Masato Yoshii"	0.117489
"Robinson Checo"	0.117191
"Omar Daal"	0.116415
"Brian Bohanon"	0.11631
"Tom Candiotti"	0.11591
"Brett Tomko"	0.114651
"Andy Benes"	0.114425
"Brian Cooper"	0.114364
"Tim Belcher"	0.113521
"Scott Williamson"	0.113451
"Ron Villone"	0.11314
"Kevin Appier"	0.113054
"Todd Husak"	0.112625
Benes	0.112607
Lieber	0.111785
Bottenfield	0.110895
"Kent Mercker"	0.11075
"Darren Dreifort"	0.110639
"Jaret Wright"	0.110126
Heredia	0.11001
"Rick Helling"	0.109519
"Mark Portugal"	0.108961
"Jamie Arnold"	0.108453
Dempster	0.108223
Petkovsek	0.108174
"Bartolo Colon"	0.107272
"Rick Reed"	0.107229
"Darren Oliver"	0.106596
"Rick White"	0.106184
"Willie Blair"	0.105692
Burba	0.105465
"Juan Guzman"	0.105428
"Ramiro Mendoza"	0.105346
"Darryl Kile"	0.105132
"Al Levine"	0.10435
"Wilton Veras"	0.103376
"Steve Trachsel"	0.103219
"Ramon Martinez"	0.102862
"Bill Pulsipher"	0.102582
"Pat Burrell"	0.102113
Bere	0.102101
"Ken Hill"	0.101692
"Mark Clark"	0.101352
Checo	0.100642
"Justin Thompson"	0.10037
Harnisch	0.100023
"Ismael Valdes"	0.0996388
"Jason Isringhausen"	0.0996
"Ruben Mateo"	0.0995741
"Jack McDowell"	0.0995654
Rusch	0.0992109
Daal	0.0989332
"Mark Leiter"	0.0986521
"Orlando Hernandez"	0.0984696
Sele	0.0983438
"Todd Stottlemyre"	0.0973242
Astacio	0.0972707
Hermanson	0.0970474
"Mark Petkovsek"	0.0969326
"Bruce Aven"	0.0966024
"Paul Shuey"	0.0963403
Dotel	0.0952618
"Chuck Smith"	0.0946957
"Darren Holmes"	0.0946412
"Frankie Rodriguez"	0.0935292
"Kevin McGlinchy"	0.0933105
"Alfonso Soriano"	0.0931358
Helling	0.0928899
"Charles Nagy"	0.09283
D'Amico	0.0926429
Herges	0.0922206
"Jeff Zimmerman"	0.0921075
Radke	0.0916497
"Pete Schourek"	0.0915645
"Denny Neagle"	0.0914634
"Danny Bautista"	0.0914406
Etherton	0.0911235
"Chuck Finley"	0.090837
"Dwight Gooden"	0.0907946
"Rafael Furcal"	0.0905067
"Andy Ashby"	0.0891056
"Tim Wakefield"	0.0886959
"Carlos Perez"	0.0884735
"Kevin Millwood"	0.0884193
"Matt Mantei"	0.0883784
"Shigetoshi Hasegawa"	0.0883778
"Bobby Newcombe"	0.088209
"James Baldwin"	0.0881351
"Carlos Guillen"	0.0879863
Borbon	0.0877641
"Kerry Wood"	0.0875507
"Mitch Meluskey"	0.0874766
Perisho	0.0874141
Schourek	0.0869752
"Sterling Hitchcock"	0.0868942
Grimsley	0.0864353
"Robb Nen"	0.0863289
"Todd Jones"	0.0862278
"Danny Patterson"	0.0861896
"Donne Wall"	0.0850204
"Jeff Fassero"	0.0849361
Reynoso	0.0848943
))
("Brad Pitt" (desc 7175.7) (sims
"Harrison Ford"	0.178648
"Tom Cruise"	0.176614
"Richard Gere"	0.161696
"Tom Hanks"	0.154225
"Bruce Willis"	0.147538
"Matt Damon"	0.145921
"Nick Nolte"	0.142576
"Jodie Foster"	0.141353
"Jim Carrey"	0.139566
"John Travolta"	0.13841
"Nicole Kidman"	0.134427
"Sylvester Stallone"	0.133432
"Arnold Schwarzenegger"	0.132805
"Robin Williams"	0.131261
"Michael Douglas"	0.130307
"Ben Affleck"	0.130215
"Antonio Banderas"	0.129675
"Dustin Hoffman"	0.128975
"Kim Basinger"	0.128835
"Denzel Washington"	0.127513
"Hugh Grant"	0.12705
"Gene Hackman"	0.124902
"Leonardo DiCaprio"	0.123278
"Jessica Lange"	0.123117
"Michelle Pfeiffer"	0.119733
"Kevin Costner"	0.119625
"Robert DeNiro"	0.117879
"Cuba Gooding Jr."	0.117237
"Will Smith"	0.11626
"Meg Ryan"	0.115262
"Gwyneth Paltrow"	0.115144
"Clint Eastwood"	0.112948
"Julia Roberts"	0.111909
"Johnny Depp"	0.111359
"Nicolas Cage"	0.110834
"Jack Nicholson"	0.10968
"Demi Moore"	0.107523
"Mel Gibson"	0.106916
"Richard Dreyfuss"	0.106169
"George Clooney"	0.104825
"Paul Newman"	0.104276
"Robert Redford"	0.102483
"Kevin Spacey"	0.101264
"Sandra Bullock"	0.100572
"Adam Sandler"	0.100488
"Robert de Niro"	0.100163
"Marlon Brando"	0.0999444
"Samuel L. Jackson"	0.0979208
"John Malkovich"	0.0969808
"Kate Winslet"	0.0969334
"Meryl Streep"	0.0961629
"Edward Furlong"	0.0958316
"Mike Myers"	0.0954211
"Ben Stiller"	0.0950783
"Sean Penn"	0.0931132
"Sean Connery"	0.092617
"Eddie Murphy"	0.0924787
"Tom Selleck"	0.0916757
"Alec Baldwin"	0.091598
"Anne Heche"	0.0907514
"Roberto Benigni"	0.0904021
"Thandie Newton"	0.0895306
"Harvey Keitel"	0.0888375
"Kenneth Branagh"	0.08878
"Melanie Griffith"	0.0872353
"Kathy Bates"	0.087044
"Michael Caine"	0.0867402
"Bill Murray"	0.0865244
"Whoopi Goldberg"	0.085043
"Susan Sarandon"	0.0846323
"AL PACINO"	0.084267
"Matthew Broderick"	0.0837958
"Chevy Chase"	0.082514
"Jeff Bridges"	0.0824887
"Martin Sheen"	0.0819042
"Drew Barrymore"	0.0818198
"Sharon Stone"	0.080949
"Danny Glover"	0.080948
"Edward Norton"	0.0808792
"Steve Martin"	0.0793925
"Liam Neeson"	0.0791036
"Jennifer Love Hewitt"	0.0784843
"Chris Rock"	0.0784685
"Woody Harrelson"	0.0783369
"Rob Lowe"	0.0762034
"Russell Crowe"	0.0755349
"Woody Allen"	0.0753039
"Anthony Hopkins"	0.075256
"Winona Ryder"	0.0752136
"Geoffrey Rush"	0.0746937
"Billy Bob Thornton"	0.0746081
"Christian Slater"	0.0745112
"Jack Lemmon"	0.0742039
"William Shatner"	0.0735705
"James Van Der Beek"	0.0728146
"Kevin Bacon"	0.0722947
"Norm MacDonald"	0.0721133
"Gregory Peck"	0.0716462
"Glenn Close"	0.0710915
"Steve McQueen"	0.0709421
"Jimmy Stewart"	0.0708047
"John Cusack"	0.0704089
"Cameron Diaz"	0.0703779
"Charlton Heston"	0.0703465
"Jeremy Irons"	0.0703193
"John Wayne"	0.0699238
"Albert Brooks"	0.0699154
"Robert Duvall"	0.0698479
"Matthew McConaughey"	0.0695409
"Jackie Chan"	0.0693544
"Burt Reynolds"	0.0693073
"Dennis Quaid"	0.0693072
"Minnie Driver"	0.0682575
"Brian Dennehy"	0.0681842
"Rupert Everett"	0.0681821
"Wesley Snipes"	0.0671688
"Tim Allen"	0.0667423
"Christopher Reeve"	0.0663913
"Keanu Reeves"	0.066319
"Mark Wahlberg"	0.0662593
"Barbra Streisand"	0.0659754
"Michael J. Fox"	0.0656718
"Annette Bening"	0.0651403
GERE	0.0646071
"Kevin Kline"	0.064211
"Haley Joel Osment"	0.0631452
"Heather Graham"	0.0630245
"Jerry Seinfeld"	0.0630033
"Charlize Theron"	0.0629427
"Burt Lancaster"	0.0623021
"Sarah Jessica Parker"	0.0621583
"Patrick Stewart"	0.0620908
"Warren Beatty"	0.0620006
"Jon Voight"	0.0619389
"James Earl Jones"	0.0618443
"Martin Lawrence"	0.0611009
"Hilary Swank"	0.0610328
"Brenda Blethyn"	0.0608983
"Jennifer Lopez"	0.0608658
"Juliette Lewis"	0.0608138
"Jude Law"	0.0604958
"Halle Berry"	0.0604812
"Claire Danes"	0.0604793
"Dame Judi Dench"	0.0601416
Damon	0.0601193
"Goldie Hawn"	0.0596403
"Renee Zellweger"	0.0596082
"Robert Downey Jr."	0.0595585
"Jimmy Smits"	0.0594593
"Alicia Silverstone"	0.0589342
"Calista Flockhart"	0.0588883
"Stanley Tucci"	0.0588591
"Julie Andrews"	0.0586262
Carrey	0.0584734
"Matthew Perry"	0.058403
"Sidney Poitier"	0.0583038
"Bill Cosby"	0.0578208
"David Duchovny"	0.0576373
"Holly Hunter"	0.0574629
"Nathan Lane"	0.0574202
"Danny DeVito"	0.0573028
"Garry Shandling"	0.0571105
"Vanessa Redgrave"	0.0569122
"Cate Blanchett"	0.0567341
Costner	0.056404
"Jamie Foxx"	0.0561273
"Ally Sheedy"	0.055806
"Chow Yun-Fat"	0.0557286
"David Spade"	0.0548394
"Lisa Kudrow"	0.0545528
furlong	0.0544765
"Tommy Lee Jones"	0.0544349
"Billy Crystal"	0.0544295
"James Stewart"	0.0544058
"Kirsten Dunst"	0.0543317
"Diana Ross"	0.0541039
"Aidan Quinn"	0.0535534
"James Woods"	0.0535459
"Morgan Freeman"	0.0535406
"Ray Romano"	0.0535184
"Lauren Bacall"	0.0532098
"Ed Harris"	0.053147
"Geena Davis"	0.0526472
"Cary Grant"	0.0526099
Kidman	0.0522963
"Ron Howard"	0.0521042
"Marilyn Monroe"	0.051994
"Catherine Zeta-Jones"	0.0519929
"Nigel Hawthorne"	0.0519872
"Ellen DeGeneres"	0.0518544
"Ralph Fiennes"	0.0517936
"Katharine Hepburn"	0.0516596
"Marx Brothers"	0.0516008
"Jamie Lee Curtis"	0.0515918
"David Arquette"	0.0515278
"Omar Epps"	0.0510331
"Sally Field"	0.050913
"Uma Thurman"	0.0508787
"Lethal Weapon"	0.0508522
"Ian McKellen"	0.0507597
))
("Brad Radke" (desc 2436.24) (sims
"Eric Milton"	0.30093
"Kevin Appier"	0.285307
"Russ Ortiz"	0.271572
"Brian Moehler"	0.270331
"Mike Mussina"	0.268862
"Jon Lieber"	0.241678
"Rolando Arrojo"	0.24135
"Chris Carpenter"	0.24015
"Scott Erickson"	0.239311
"Steve Parris"	0.237363
"Woody Williams"	0.235116
"Francisco Cordova"	0.233784
"Jason Schmidt"	0.230381
"Curt Schilling"	0.228794
"Kirk Rueter"	0.221984
"Aaron Sele"	0.221588
"Tom Candiotti"	0.219821
"Gil Heredia"	0.217647
"Sean Bergman"	0.214973
"Wilson Alvarez"	0.214795
"Javier Vazquez"	0.214492
"Shane Reynolds"	0.214139
"Jamey Wright"	0.212148
"Mike Sirotka"	0.210603
"Andy Benes"	0.210477
"Bartolo Colon"	0.208751
"Armando Reynoso"	0.208274
"BRIAN MEADOWS"	0.207816
"Jeff Weaver"	0.206399
"Paul Abbott"	0.204338
"Bryce Florie"	0.204043
"Sidney Ponson"	0.202136
"Pedro Astacio"	0.20125
"Pat Hentgen"	0.200552
"Dustin Hermanson"	0.199398
"Pete Harnisch"	0.198142
"Kevin Tapani"	0.196225
"Mark Gardner"	0.1949
"John Burkett"	0.193299
"Mark Portugal"	0.190106
"Juan Guzman"	0.190033
"Paul Byrd"	0.186501
"Mark Clark"	0.186477
"Willie Blair"	0.186432
"Shawn Estes"	0.185181
"Brian Anderson"	0.184164
"Pat Rapp"	0.183791
"Darryl Kile"	0.18359
"John Snyder"	0.182296
"Brett Tomko"	0.181812
"Chuck Finley"	0.181574
"Steve Trachsel"	0.181481
"Rick Reed"	0.180311
"Darren Oliver"	0.180087
"Brian Rose"	0.17893
"Todd Stottlemyre"	0.177994
"Dave Burba"	0.177379
"Dave Mlicki"	0.177012
"Andy Ashby"	0.175773
"Rick Aguilera"	0.175628
"Denny Neagle"	0.174994
"Brian Bohanon"	0.174386
"Jaret Wright"	0.173273
"Joey Hamilton"	0.172491
"Tim Belcher"	0.172407
"Hideo Nomo"	0.171925
"Jamie Moyer"	0.171096
"Mike Hampton"	0.170562
"Carl Pavano"	0.170443
"Esteban Loaiza"	0.169868
"Matt Morris"	0.169547
"Jesus Sanchez"	0.168885
"Scott Williamson"	0.168685
"Tim Hudson"	0.168412
"Masato Yoshii"	0.167869
"Hideki Irabu"	0.166704
"Kent Bottenfield"	0.16609
"Jim Parque"	0.165929
"Ramon Martinez"	0.165906
"Rick Helling"	0.165664
"Charles Nagy"	0.165068
"Jason Bere"	0.164954
"David Cone"	0.164902
"Jose Lima"	0.1648
"Scott Elarton"	0.164775
"Ryan Glynn"	0.16414
"Justin Thompson"	0.162711
"Chris Holt"	0.161957
D'Amico	0.161674
"Ryan Dempster"	0.161065
"Scott Karl"	0.161025
"Frankie Rodriguez"	0.160956
"Kerry Wood"	0.160334
"Orel Hershiser"	0.159141
"Omar Daal"	0.158488
"STEVE WOODARD"	0.157947
"Ramon Ortiz"	0.157625
"Jin Ho Cho"	0.157508
"Bill Pulsipher"	0.157316
"Jose Jimenez"	0.157059
"Ron Villone"	0.157034
"Freddy Garcia"	0.156799
"Jack McDowell"	0.156784
"Al Leiter"	0.155778
"Gil Meche"	0.155014
"Al Levine"	0.154594
"Livan Hernandez"	0.153496
Rusch	0.153015
"Darren Dreifort"	0.152974
"Pete Schourek"	0.152937
"Jason Dickson"	0.152823
Lieber	0.152463
"Omar Olivares"	0.152384
"Sterling Hitchcock"	0.151243
Benes	0.150203
"John Smoltz"	0.150154
"Ken Cloude"	0.148283
"Alex Fernandez"	0.14806
"Troy Percival"	0.148043
"Kenny Rogers"	0.1475
"Kevin Brown"	0.147463
"Ramiro Mendoza"	0.147248
"James Baldwin"	0.147019
"Paul Shuey"	0.14678
"Danny Graves"	0.146749
"Pedro Martinez"	0.146534
Sele	0.14558
"Orlando Hernandez"	0.145552
"Andy Pettitte"	0.145446
"Ken Hill"	0.143999
"Mac Suzuki"	0.143958
"Terry Mulholland"	0.143355
"Mark Petkovsek"	0.142504
Trachsel	0.142416
"Tim Crabtree"	0.140972
Hentgen	0.140564
"Byung-Hyun Kim"	0.140502
"Kevin Millwood"	0.139941
"Octavio Dotel"	0.138374
"Steve Avery"	0.137513
"Mike Morgan"	0.137504
"Steve Sparks"	0.136351
"Matt Lawton"	0.136086
"Greg Maddux"	0.136072
Bere	0.135773
"Bret Saberhagen"	0.134415
"Brian Cooper"	0.133669
Bottenfield	0.13318
"Chan Ho Park"	0.133125
"Robb Nen"	0.133106
"Ismael Valdes"	0.132928
Astacio	0.130111
Radke	0.129548
"Tom Glavine"	0.129021
"Brad Penny"	0.128343
"Scott Schoeneweis"	0.12743
"Trevor Hoffman"	0.127306
"John Halama"	0.127225
"Brett Hinchliffe"	0.126644
Tapani	0.126272
"Mark Langston"	0.126248
"Kent Mercker"	0.126243
"Mike Timlin"	0.126154
"Randy Johnson"	0.12601
Hermanson	0.12558
"Dwight Gooden"	0.125249
Harnisch	0.125036
"John Wasdin"	0.124534
"Carlos Perez"	0.123147
"Jeff Fassero"	0.123019
"Ugueth Urbina"	0.122351
"Jeff Zimmerman"	0.121714
"John Franco"	0.121608
Daal	0.121523
Kile	0.121088
"Matt Herges"	0.119586
Arrojo	0.11941
Meche	0.118972
Petkovsek	0.118945
"Shigetoshi Hasegawa"	0.118772
Burkett	0.118685
"Randy Myers"	0.117707
"Matt Mantei"	0.117146
"Todd Walker"	0.116782
"Russ Springer"	0.115762
"Bruce Chen"	0.115088
"Roger Clemens"	0.114419
"Robinson Checo"	0.114366
"Mariano Rivera"	0.114227
"Rick White"	0.11381
"David Wells"	0.113512
"Kazuhiro Sasaki"	0.113464
"Tom Gordon"	0.113435
"Doug Henry"	0.112871
Checo	0.112778
Ankiel	0.11273
"Rod Beck"	0.112356
"Jamie Arnold"	0.11229
"Vladimir Nunez"	0.112267
"David Palmer"	0.11161
Dempster	0.110512
Hershiser	0.109998
"John Hudek"	0.109779
Elarton	0.109024
"Tim Wakefield"	0.108816
Mahomes	0.108634
"Jay Powell"	0.107599
"Terry Adams"	0.107486
"Billy Taylor"	0.107278
"Bobby Jones"	0.107182
Halama	0.106791
"Mike Remlinger"	0.106369
"Gregg Olson"	0.105388
"Turk Wendell"	0.105253
"Jarrod Washburn"	0.105184
"Pat Mahomes"	0.104526
"Billy Wagner"	0.104434
Heredia	0.104018
Rueter	0.103843
Yoshii	0.103583
"Jason Isringhausen"	0.103556
Dreifort	0.102372
Schilling	0.1021
"Dan Miceli"	0.102045
"Mark Wohlers"	0.101859
Leiter	0.101372
"Mike Judd"	0.100769
Maddux	0.100523
Isringhausen	0.100095
))
(Bradenton (desc 2078.1) (sims
Kissimmee	0.196499
"Palm Beach Gardens"	0.152552
"Delray Beach"	0.145496
Dunedin	0.143712
"Vero Beach"	0.140899
Gainesville	0.137083
Sarasota	0.134184
Clearwater	0.127578
"Boynton Beach"	0.125854
"Port St. Lucie"	0.122176
"Daytona Beach"	0.114091
"Coral Gables"	0.111637
Morristown	0.11131
Tampa	0.110208
"Fort Lauderdale"	0.109884
"Fort Myers"	0.103434
"Huntington Beach"	0.10186
"West Palm Beach"	0.100606
"El Segundo"	0.0972782
"Boca Raton"	0.0952361
Naples	0.0938099
Suwanee	0.0933127
"West Orange"	0.0927371
"St. Petersburg"	0.0897588
Lakeland	0.0896049
Hialeah	0.0890739
"Lake Worth"	0.0882985
Davie	0.0874085
"Dade County"	0.0851959
Quincy	0.0845153
Lantana	0.0842368
Peoria	0.0829733
Pensacola	0.0824661
Hackensack	0.0824178
TALLAHASSEE	0.0807995
"Miami Beach"	0.0798823
"Virginia Beach"	0.0793739
"East Orange"	0.0788291
"Pacific Palisades"	0.0787763
"Saratoga Springs"	0.0778245
"Brooklyn Heights"	0.0772262
Essen	0.076878
Americus	0.0764228
Bethesda	0.0762645
Farmington	0.0760092
Englewood	0.075643
Jupiter	0.0748664
Lawrenceville	0.0744073
Hillsboro	0.0740814
Dearborn	0.0739384
"Fall River"	0.0736149
"Key West"	0.0727002
"Colorado Springs"	0.0726113
Salisbury	0.0715087
LaGrange	0.0714478
Sausalito	0.0709391
Reston	0.0707804
"Union City"	0.0703575
"Round Rock"	0.0692779
Fairfield	0.0687918
Middletown	0.0686809
"Thousand Oaks"	0.0684915
Andover	0.0684743
Lynchburg	0.0684343
Missoula	0.0681607
Tempe	0.0674331
Greensboro	0.0669389
Matamoros	0.0666968
Greenville	0.0659163
"Panama City"	0.0656463
Knoxville	0.0655289
"Palm Beach"	0.0654722
Montclair	0.0650464
"Fort Lee"	0.0647909
"Van Nuys"	0.064031
"Silver Spring"	0.0639882
Milton	0.0639698
Palmdale	0.063865
"Key Biscayne"	0.0636304
Lafayette	0.0635586
Carlisle	0.0630698
homestead	0.0628285
Yonkers	0.0623801
Framingham	0.06215
Tucson	0.0620044
Bloomington	0.0619911
Akron	0.0619093
Nacogdoches	0.0617498
Decatur	0.0616294
Lansing	0.061578
Oxnard	0.0615208
Augusta	0.0614224
"Cherry Hill"	0.0613683
STUART	0.0612753
LAKEWOOD	0.0612054
Jamestown	0.061071
Marietta	0.0609543
"South Bronx"	0.0609419
"South Bend"	0.0608231
Petersburg	0.0604717
Elmira	0.0603791
Schenectady	0.0601884
Charlottesville	0.0599535
Wilmington	0.0599282
Deerfield	0.0597911
Guadalajara	0.059687
Waltham	0.0596079
"Wichita Falls"	0.059512
"South San Francisco"	0.059374
Sunnyvale	0.0593121
Duluth	0.0589178
"Woods Hole"	0.0588316
Spokane	0.0585634
Storrs	0.0584576
"Santa Ana"	0.0582594
"Highland Park"	0.0581586
"Sun City"	0.0580645
Macoris	0.0579951
Ridgewood	0.0579118
Bloomfield	0.0577642
Falmouth	0.0573939
"Cape Canaveral"	0.0572703
"Mount Vernon"	0.0571503
Northampton	0.0569962
Boise	0.056909
Pittsfield	0.056905
"Great Neck"	0.0568552
"La Jolla"	0.0565683
Fresno	0.0565319
Burlington	0.0564793
Arlington	0.056393
Honolulu	0.056361
Smithfield	0.0563454
"Walnut Creek"	0.0560488
Flagstaff	0.0559815
Norwalk	0.0559223
Lenexa	0.0558066
"White Plains"	0.0557046
"St. Paul"	0.0557028
Carlsbad	0.0553425
Eugene	0.0553195
Plano	0.0553056
Makeni	0.0552349
Tuscaloosa	0.055156
"Broward County"	0.0549988
"San Marcos"	0.0548755
canton	0.0547312
Spartacus	0.0544811
Chattanooga	0.0544056
Alpharetta	0.0543829
Allentown	0.0543276
Cambridge	0.0542666
"Orange County"	0.054258
"Baton Rouge"	0.0541588
"Newport Beach"	0.0540672
Bensonhurst	0.0538829
Longview	0.0537717
Redmond	0.0537656
Smyrna	0.0537056
"Santa Cruz"	0.0534413
Evanston	0.0532965
"Cedar Rapids"	0.0530753
"Simi Valley"	0.0530347
meridian	0.0527621
Brockton	0.0527339
"Jersey City"	0.0525489
Bridgewater	0.0525228
Kalamazoo	0.0525105
midland	0.0524792
Burlingame	0.0524244
Chappaqua	0.0523891
"Research Triangle Park"	0.052119
Herndon	0.0520626
Medford	0.052036
Provo	0.051995
"Hollywood Hills"	0.0519521
"Overland Park"	0.0519271
Macon	0.0518768
Somerville	0.0517865
Lufkin	0.0517622
Charlestown	0.0516155
Renton	0.0516055
"Auburn Hills"	0.0514807
Racine	0.0513807
"Westlake Village"	0.0512925
Tarzana	0.0512522
Hempstead	0.0511651
Huntington	0.0511529
"New Haven"	0.0511349
Concord	0.0510829
Fairfax	0.0510346
Spartanburg	0.0510163
Nashua	0.0509731
Stormont	0.0508648
Winston-Salem	0.0508598
Woburn	0.0508363
Watertown	0.0507453
"New Canaan"	0.0506976
"Ann Arbor"	0.0506914
"Crystal City"	0.0505923
))
(Bradford (desc 5841.64) (sims
Crewe	0.125088
Bolton	0.100809
Godfrey	0.0978608
Blackburn	0.0921043
Ipswich	0.0907625
Haines	0.0907525
Coventry	0.0905137
Lafleur	0.0870623
Dowd	0.0845014
Navarro	0.0837847
Goldin	0.0834571
Betts	0.0834197
Meissner	0.0830185
Charlton	0.0830104
Middlesbrough	0.0827881
Norwich	0.0827077
Leicester	0.0824465
Mathis	0.0822483
Ruehe	0.0806456
Manley	0.0805869
Zambrano	0.0791179
Gullikson	0.0785464
Saunders	0.0761564
Hess	0.0759443
O'Connell	0.0756731
Bellamy	0.0755265
Sunderland	0.0753584
Vogel	0.0748989
Lowry	0.0745454
Jaffe	0.0744879
York	0.0742649
Cline	0.0742196
McDonnell	0.0741664
Berenson	0.0741291
Henning	0.0740201
Patten	0.0739637
Farber	0.0737314
Vale	0.0734075
Southampton	0.0731965
Hatfield	0.0730319
Gutierrez	0.0722851
Peterson	0.0722659
Schwartz	0.0718321
"West Ham United"	0.0716776
Garrett	0.0715898
Ferguson	0.0711788
Hanley	0.0708281
Sheffield	0.0707294
Liverpool	0.0706804
DeFrantz	0.0703367
Nickerson	0.0703285
Milbury	0.0700943
Cashman	0.070063
Copeland	0.0700074
Leeds	0.0698425
Lobo	0.0693857
Brazile	0.0692814
Wolfson	0.069099
Merritt	0.0689804
Sorensen	0.0689783
Flores	0.0688114
Blackman	0.0687445
Brister	0.068715
Soto	0.0684264
O'Neil	0.0684174
Valenzuela	0.0683212
Carlisle	0.0683177
Tottenham	0.0683176
Sato	0.0682155
Manuel	0.0681022
Briscoe	0.0679885
Rossotti	0.0678027
Devine	0.0677211
Reimer	0.067616
Kane	0.0675287
Watford	0.0674942
fuller	0.0674281
Markovic	0.0673669
Cassell	0.0673138
Knapp	0.0671832
Fiorina	0.0671614
Timlin	0.067156
Saberhagen	0.0670595
Troussier	0.0668835
Bulatovic	0.066815
Walters	0.0667427
Suarez	0.0666483
Easton	0.0665801
Okada	0.0665551
Dixon	0.0662619
Hunsicker	0.0661421
Caddell	0.0660237
Advani	0.0658665
Schourek	0.0657812
Haynes	0.0657613
Pena	0.0656376
Audette	0.0655999
Hickman	0.0654894
Geiger	0.0653651
Ciampi	0.0653524
Ferraro	0.0653194
Winchester	0.0652803
Stephenson	0.0651453
McCown	0.064916
Goodman	0.0649024
Kessler	0.0646526
Woodard	0.0645394
Neilson	0.0643797
Pape	0.064364
Weisman	0.0643397
"Michael Booker"	0.0643028
McCaffrey	0.0640736
Sharpe	0.0640338
Sharma	0.0640297
Newhouse	0.0639478
Harmoko	0.06386
Dickson	0.0638031
Birnbaum	0.0636996
Waxman	0.0636442
Ismail	0.0636341
ISSEL	0.0636192
Cooke	0.0635654
Ellsworth	0.0634533
Finkel	0.063247
McDaniel	0.063233
Jeffers	0.0632299
Flanagan	0.0632189
Schmidt	0.0632058
Whipple	0.0630695
Summitt	0.0630213
Daft	0.0629375
Dunleavy	0.0629253
Ftorek	0.0628854
Swann	0.0628121
Culpepper	0.062773
Harvey	0.0625467
Goff	0.0625451
Azizah	0.062453
Rosen	0.0624074
FitzPatrick	0.0623812
Kreuter	0.0622114
Shapiro	0.0621815
Macdonald	0.0620262
Pittman	0.0620208
Plummer	0.0619166
McNabb	0.0619025
Glover	0.0618656
Wiggins	0.0618233
Heinrichs	0.0618137
Grossman	0.0617862
Dunham	0.0617154
WARRICK	0.0617103
Matthews	0.0616879
Hecht	0.061669
Hampton	0.0616645
Reyes	0.0616632
Parrish	0.0616596
"Van Horn"	0.0616389
Hybl	0.0615767
Beazley	0.0615747
Aventajado	0.0615304
Cooley	0.0615172
Barrett	0.061493
Donohue	0.0614713
Mays	0.0613879
Woodson	0.0612818
O'Hara	0.0611577
Daniels	0.0611476
Henderson	0.061064
Calipari	0.0610583
hale	0.0610052
Richards	0.0609601
Richardson	0.0609479
Greenwald	0.0609382
Coleman	0.0609167
Barad	0.0607434
Shipley	0.0606634
Venables	0.0606384
Ramirez	0.0606229
Manchester	0.0605736
Anderson	0.0605284
Bristol	0.0604994
Giambi	0.060457
Sherman	0.060416
Harbaugh	0.0603812
Tharp	0.0603672
Howell	0.0603173
Rowan	0.0601135
Oliveira	0.0600713
Forrest	0.0599582
Cavanaugh	0.0598779
Johansson	0.0598758
Zuckerman	0.0598742
Singson	0.0598567
Sommer	0.0598324
Gorman	0.0596628
Kerrigan	0.0596522
Nilsson	0.0596222
Everton	0.0596192
Peterborough	0.059486
))
("Bradford City" (desc 1483.09) (sims
"Derby County"	0.555439
"Coventry City"	0.531424
"West Ham United"	0.432306
"Leicester City"	0.388656
Nottingham	0.273214
Watford	0.263632
"Blackburn Rovers"	0.262646
"Leeds United"	0.258878
"Newcastle United"	0.223248
"Tottenham Hotspur"	0.213989
Middlesbrough	0.213936
Sunderland	0.204633
"Nottingham Forest"	0.195723
Charlton	0.188104
Southampton	0.179112
Everton	0.168571
Newcastle	0.161634
"Partizan Belgrade"	0.160135
Besiktas	0.147102
"Athletic Bilbao"	0.140817
"Aston Villa"	0.140442
Habsudova	0.139966
Leeds	0.138137
Fenerbahce	0.136564
Sheffield	0.135675
"Velez Sarsfield"	0.130502
"San Lorenzo"	0.130426
Nacional	0.129467
"Barbara Schwartz"	0.128653
Sevilla	0.12788
Meligeni	0.127758
"Guangzhou Apollo"	0.126084
Bayern	0.120585
"Olympiakos Piraeus"	0.119507
"Dynamo Kiev"	0.118762
"Olympique Marseille"	0.118535
Estudiantes	0.118322
"Rita Grande"	0.117814
Hongyuan	0.117503
Spartak	0.117247
Tarango	0.116918
"Albert Portas"	0.116827
"Qingdao Hainiu"	0.115597
Fulham	0.115209
"Tatiana Panova"	0.114685
Brondby	0.114428
Olimpia	0.114411
"AEK Athens"	0.113697
Edberg	0.113464
Damm	0.113331
Dosedel	0.112871
"VfL Wolfsburg"	0.112673
Lareau	0.111746
"Schalke @@"	0.110822
"Sebastien Lareau"	0.110248
"Jinan Taishan"	0.110119
"Nicole Pratt"	0.109589
"Hernan Gumy"	0.109134
"Arnaud Clement"	0.109062
Penarol	0.108876
"Chinese Army"	0.108539
"Paul Goldstein"	0.10841
Raoux	0.108038
Auxerre	0.107931
"Nathalie Dechy"	0.107507
Shenhua	0.10747
Zamalek	0.107394
"Real Betis"	0.106731
"Christian Ruud"	0.106669
"Sarah Pitkowski"	0.106602
"Galo Blanco"	0.106241
Gremio	0.105322
Lecce	0.104705
Bruguera	0.104544
Stoltenberg	0.10452
Anderlecht	0.104496
"LA Lakers"	0.104399
Barnsley	0.104331
Heerenveen	0.103297
Schalken	0.103235
"Amy Frazier"	0.103139
"Alberto Costa"	0.102725
Larsson	0.102702
"Joannette Kruger"	0.10262
"Javier Sanchez"	0.101883
"Carlos Costa"	0.101722
"Guy Forget"	0.101424
Cruzeiro	0.101311
"Karim Alami"	0.1011
"Shanghai Sharks"	0.101093
"Andreas Vinciguerra"	0.100838
"Colo Colo"	0.100798
"VfB Stuttgart"	0.10065
"Andrei Pavel"	0.100591
"Kenneth Carlsen"	0.100494
Ulihrach	0.100103
"Adrian Voinea"	0.0999725
"Asa Carlsson"	0.0996905
"Spartak Moscow"	0.0996713
"Brett Steven"	0.0994654
Bastia	0.0992507
Palmeiras	0.0989673
Schalke	0.0978829
Vacek	0.0972654
"Andrew Ilie"	0.097124
"Gianluca Pozzi"	0.0970867
Chelsea	0.0968553
"Croatia Zagreb"	0.0964524
"Arnaud Boetsch"	0.0963777
"Guangdong Hongyuan"	0.0959179
Independiente	0.0956864
"Daniel Nestor"	0.0955651
Torino	0.0953221
"Guangdong Tigers"	0.0946709
"Magui Serna"	0.0946586
Dundee	0.0945203
Rostock	0.094478
"Neville Godwin"	0.0943903
"Jubilo Iwata"	0.0943305
Haarhuis	0.0941392
"Marcelo Filippini"	0.0940384
"Sargis Sargsian"	0.0939303
Stolle	0.0938864
"Zhang Ning"	0.0938777
Manchester	0.0938108
"MaliVai Washington"	0.0937126
"Arnaud Di Pasquale"	0.0937103
"Scott Draper"	0.0936638
Feyenoord	0.0935344
"Olga Barabanschikova"	0.0931135
Liverpool	0.0927844
"Sebastien Grosjean"	0.0924422
"Gong Ruina"	0.0922196
"Wang Chen"	0.0921925
Obilic	0.09202
"Xavier Malisse"	0.0919713
"FC Porto"	0.0916217
"Paris St Germain"	0.0915531
Vitoria	0.091328
Wolfsburg	0.0910956
"Mark Knowles"	0.0907418
"Leander Paes"	0.0904671
"Jeff Tarango"	0.0901491
ham	0.0899041
Testud	0.0897054
Likhovtseva	0.0896151
Piacenza	0.0895543
"Sabine Appelmans"	0.0892762
"Renzo Furlan"	0.0892613
Gustafsson	0.0885234
"Els Callens"	0.088288
Freiburg	0.0882751
Cagliari	0.0882488
"River Plate"	0.0873932
Espanyol	0.0873568
Schett	0.0871154
"Sichuan Quanxing"	0.0869526
"Magdalena Maleeva"	0.0864793
"Glasgow Rangers"	0.0864766
"Hertha Berlin"	0.0864438
"Naoko Sawamatsu"	0.0864308
"Sturm Graz"	0.0861574
"Guillaume Raoux"	0.0856416
"Red Star"	0.0856342
"Judith Wiesner"	0.085109
"Vincent Spadea"	0.0848993
"Barbara Rittner"	0.0844711
"Stan Collymore"	0.0843858
Hainiu	0.0843849
"Mariano Puerta"	0.0843577
"Conchita Martinez"	0.0842482
Benfica	0.0840118
Valladolid	0.0838663
"Dalian Wanda"	0.0835
"Ji Xinpeng"	0.0832972
"American Chanda Rubin"	0.0832114
Atletico	0.0829224
"Boca Juniors"	0.0827233
Berasategui	0.0827154
"Kim Clijsters"	0.0824875
"Stefan Edberg"	0.0823514
"Miriam Oremans"	0.0822257
"Kinder Bologna"	0.0819412
Lindland	0.0818713
Metz	0.0818541
Prinosil	0.0818039
"Rainer Schuttler"	0.0814509
Puerta	0.0814122
"Roger Federer"	0.0813393
Salernitana	0.0811091
"Jerome Golmard"	0.0810715
Sanchez-Vicario	0.0809466
"Wayne Black"	0.080729
Betis	0.0806707
"Younes El Aynaoui"	0.0800025
Rennes	0.079713
Kremer	0.0796967
"Paola Suarez"	0.0792951
Duisburg	0.0792724
"Slavia Prague"	0.0791127
))
(Bradley (desc 88963.9) (sims
gore	0.282286
McCain	0.280636
Bush	0.262002
"Bill Bradley"	0.245421
"George W. Bush"	0.208203
Giuliani	0.199687
"John McCain"	0.187385
DOLE	0.184557
"Al Gore"	0.179605
Forbes	0.171252
Clinton	0.165576
Buchanan	0.159015
Lieberman	0.158655
Schumer	0.158125
Quayle	0.155411
Lazio	0.15184
"vice president"	0.150629
Pataki	0.143391
candidate	0.142285
D'Amato	0.138949
Bauer	0.138537
Republican	0.137004
Democrat	0.136239
"Steve Forbes"	0.131897
senator	0.13108
"Bob Dole"	0.130143
Corzine	0.128568
Nader	0.128441
Cheney	0.127706
"Hillary Rodham Clinton"	0.125613
Vallone	0.125392
Governor	0.125382
Netanyahu	0.123956
Mauro	0.12043
Labastida	0.120187
Lungren	0.117354
Gephardt	0.116976
Putin	0.11658
Gingrich	0.116468
Keyes	0.116458
"first lady"	0.116324
Cellucci	0.113244
Barak	0.112745
Lott	0.112695
"Hillary Clinton"	0.112124
Yeltsin	0.111927
"Elizabeth Dole"	0.108872
Kerry	0.108806
Mayor	0.1088
Florio	0.106744
"George Bush"	0.105696
"Republican George W. Bush"	0.103488
Schroeder	0.102879
Ashcroft	0.102693
opponent	0.102586
Chavez	0.102501
Feinstein	0.101703
Kennedy	0.101065
Blair	0.100911
rival	0.100883
Perot	0.100745
Harshbarger	0.10071
Kohl	0.100537
GOP	0.100514
"Pat Buchanan"	0.100342
President	0.0996733
Davis	0.0979231
Torricelli	0.0975377
MacKay	0.0974437
Spitzer	0.0970911
Ventura	0.096808
Ammiano	0.0965454
Gramm	0.0964488
Vacco	0.0964198
"Bill Clinton"	0.0957339
Arafat	0.0955462
administration	0.0948194
Reagan	0.0946245
smith	0.0943295
Fujimori	0.0940788
Kasich	0.0936802
Fong	0.0934739
Whitman	0.0932758
"Rick Lazio"	0.0926323
Starr	0.0923591
front-runner	0.0922628
Albright	0.0918549
Hastert	0.0916888
"Gary Bauer"	0.091234
Cohen	0.0906361
Khatami	0.0906323
Alexander	0.0898899
Carnahan	0.0897095
Taft	0.089526
Ferraro	0.0894692
Kostunica	0.088633
McCall	0.0886236
Wilson	0.0884913
challenger	0.0883678
"Alan Keyes"	0.0883592
Chen	0.0882475
Hoffa	0.0879352
Johnson	0.0868201
Zedillo	0.0856806
conservative	0.0853744
hatch	0.0852446
pope	0.0852401
"George Pataki"	0.085209
Helms	0.0849576
Jackson	0.084894
Mandela	0.0845469
Kerrey	0.0845264
Feingold	0.0844752
Madrazo	0.0844009
campaign	0.0840913
Milosevic	0.0838461
Mbeki	0.0837656
Greenspan	0.0837335
Moynihan	0.0835337
politician	0.08297
Estrada	0.0828894
"Democrat Al Gore"	0.0826771
Nixon	0.0822266
"Ralph Nader"	0.0821333
lawmaker	0.0820275
Peres	0.0816972
nominee	0.0813544
Primakov	0.0813265
Obuchi	0.0812741
him	0.0811558
Carter	0.081148
Livingston	0.0811227
Hyde	0.0809008
Jones	0.080873
Microsoft	0.0808548
"Dan Quayle"	0.0808446
Daschle	0.080658
Dukakis	0.079789
Armey	0.0796099
Rugova	0.0795693
party	0.0791453
Cardoso	0.0786867
Zyuganov	0.0786748
leader	0.0785382
voter	0.0784153
Hillary	0.0783812
Fox	0.0783381
"Republican Party"	0.0783094
"Lamar Alexander"	0.0782178
Brown	0.0782133
"Joseph Lieberman"	0.0781654
Annan	0.0781197
Toledo	0.0780904
Chernomyrdin	0.0778248
Williams	0.0776628
Rubin	0.0776343
Barnes	0.0775829
Daley	0.0773533
Pastrana	0.0771972
Graham	0.0770831
Richardson	0.0769989
Bragman	0.0769986
Gates	0.0767905
"Democratic Party"	0.076496
government	0.076299
he	0.0761671
Reno	0.0758672
Powell	0.0757174
"Benjamin Netanyahu"	0.0756877
Robertson	0.0755752
Mahathir	0.0754144
Tyson	0.0752346
McGwire	0.0751103
Hagelin	0.0749937
"George W."	0.0749175
Robinson	0.0749039
Rowland	0.0747979
franks	0.0747491
"Dick Cheney"	0.0747477
Draskovic	0.0745059
Trimble	0.0742001
Campbell	0.0741664
perry	0.0741614
Riley	0.0738758
Cuomo	0.0738312
incumbent	0.0738189
"Ronald Reagan"	0.0737706
her	0.0736695
Barr	0.0735365
Cardenas	0.0734902
"White House"	0.0732978
Mugabe	0.0732558
"Charles Schumer"	0.0731902
Lewis	0.0731433
"Joe Lieberman"	0.0730991
Sharpton	0.0727299
contender	0.072538
Riordan	0.0725124
"Gray Davis"	0.0724601
Congressman	0.0721978
))
(Bradshaw (desc 1358.74) (sims
Plunkett	0.0953322
Garvey	0.0949718
Cleary	0.0913693
Belanger	0.0887303
Cahill	0.0852951
Meeks	0.0830743
Jacquet	0.0799363
Castaneda	0.0794735
Bustamante	0.0792077
Gatling	0.0791905
nance	0.0773196
Musa	0.0768212
Biden	0.0764893
Braswell	0.0755946
Reiner	0.0754228
Silas	0.0749758
Tsai	0.0749155
Marinovich	0.0736232
Baldwin	0.0734557
Tucci	0.073181
Maher	0.0731709
Margolis	0.0731667
Gutman	0.0730858
Hindery	0.0725244
Scarpetta	0.072503
Ohlmeyer	0.0724265
Solich	0.0722215
Clements	0.0719994
Jelisic	0.0717258
Colburn	0.071677
Hatfield	0.070352
Etherton	0.070132
"Maturino Resendiz"	0.0700558
Dunne	0.0700109
Kasoulides	0.0696499
McWilliams	0.0695256
Whitacre	0.0694678
Arnett	0.0693187
Whalen	0.0692327
Fortier	0.0689938
Einhorn	0.0688918
Sharpe	0.0684767
Yoon	0.0682687
Jaffe	0.0682343
Soldini	0.0680414
Ballard	0.0680219
Nickerson	0.067101
Havelange	0.0670067
Ftorek	0.066852
Sheehan	0.0667481
Siripongs	0.0667069
Cepeda	0.0665488
Romar	0.0664849
Myhrvold	0.0660207
Gainey	0.0660055
Ziegler	0.0657468
Verney	0.0652829
Pape	0.0651651
Michaels	0.0650507
Dunlap	0.0649007
Edelstein	0.0648454
PITTS	0.0646595
Symington	0.0646162
Rodionov	0.0645624
Benedetti	0.0644388
Kearin	0.0642944
Shulman	0.0642788
Gullit	0.0642537
Kornberg	0.0642374
Galindo	0.064235
Boller	0.0640388
Lacresha	0.0638612
Conley	0.0637562
Esposito	0.0636832
Berkowitz	0.0634355
Cleese	0.0634123
Midler	0.0631383
Mueller	0.063117
Najera	0.0630475
Pryor	0.063037
Deri	0.0629666
Ciampi	0.062816
Jorgensen	0.0627975
Willard	0.0627614
Blackman	0.062743
Mitterrand	0.0626038
jacoby	0.0625622
McLeod	0.0623441
Barrie	0.0621848
McGuire	0.062184
Weinke	0.062055
Ruehe	0.0619772
Cochran	0.0617745
Harmon	0.0616318
Penders	0.0615758
Lori	0.0614327
Halberstam	0.0613264
Passarella	0.0612593
Huard	0.0611876
Auriemma	0.0611182
Hartley	0.0609371
Marulanda	0.0607935
Berlusconi	0.0606114
Kessler	0.0605524
Talebi	0.0604672
Sebaggala	0.0603558
Popovich	0.0602091
Reyes	0.0601588
McGinnis	0.0601424
Quintero	0.060032
Darnell	0.0599803
Ratner	0.0599101
Faulder	0.059701
Walesa	0.0596705
Vasquez	0.0595596
Brazile	0.0594369
Leventhal	0.0593844
Fulmer	0.0593632
Bruton	0.0593559
Andreas	0.0593303
Venables	0.0593262
Schell	0.0589559
Donahue	0.0589508
Hirsch	0.0588328
Massey	0.0588238
Hou	0.0587975
Slocum	0.0587401
Kok	0.058729
Soyinka	0.0587007
Fyodorov	0.0586007
Bingham	0.058538
Mercker	0.058517
Donnan	0.0585056
Mehta	0.058417
MacKay	0.0583868
Gardiner	0.0583599
Washburn	0.0581167
Keenan	0.0580775
Landers	0.0580546
"Al Michaels"	0.0580132
Bochy	0.0578562
Blazevic	0.0577904
Segal	0.0577333
Bove	0.0574252
"Patsy Ramsey"	0.0574144
Greenwald	0.0573825
Troussier	0.0573383
Kealy	0.0573003
Barlow	0.0572903
Robison	0.0572894
Sassa	0.0572494
Nagy	0.0572391
Akayesu	0.0572338
Wenger	0.0572245
Bowman	0.0570449
Cao	0.0568812
Duran	0.0568615
Beilin	0.0568412
Mutombo	0.0568244
Rossotti	0.0568186
Sahadi	0.0567041
Sharansky	0.0566746
Dooley	0.0566632
Wolfson	0.0566357
Fernandes	0.056588
Fagan	0.0565367
Ono	0.0564037
Maldini	0.0564015
Paulie	0.0563304
Valenti	0.0562861
Valdez	0.0562426
Bowers	0.0561572
Fleischer	0.0561255
Metcalf	0.056027
Khalil	0.0559768
Julich	0.0557809
Druckenmiller	0.0557283
Koskinen	0.0557052
Lloyd	0.0557017
Whiting	0.0555954
Cooley	0.0555229
Iglesias	0.0554971
Napolitano	0.0554699
Protas	0.055441
Rabe	0.0554165
Holtz	0.0553824
Agca	0.0553476
McKay	0.055195
Lowery	0.0551729
Gantamirov	0.055152
Fitch	0.0551457
Sato	0.055029
Kay	0.0550223
Scharping	0.0549992
McKeon	0.054952
Judd	0.0549349
Lockyer	0.0549342
Norstrom	0.05485
Levine	0.0547739
Schoeneweis	0.0547539
))
(Brady (desc 9023.84) (sims
McCown	0.140082
Brees	0.140053
Applewhite	0.13439
Griese	0.125111
Huard	0.12064
Brunell	0.117999
Kitna	0.115152
"Van Raaphorst"	0.114362
Weinke	0.114356
Plummer	0.110911
Vick	0.110207
Favre	0.110088
Pederson	0.109599
Capps	0.108755
Brister	0.106125
Flutie	0.104107
DeBerg	0.104018
Cunningham	0.103977
Testaverde	0.103825
Moakley	0.103624
Kealy	0.102322
McNown	0.10126
Bledsoe	0.10088
Mirer	0.1002
Harbaugh	0.100041
Doggett	0.0983094
Chandler	0.0964628
Marino	0.0964234
Paus	0.0956827
Outzen	0.0955166
Jenkins	0.0950582
Kanell	0.0927901
McCann	0.0924571
Elway	0.0922782
Manning	0.0921003
Tupa	0.0915862
Aikman	0.0915525
Zolak	0.0913863
Foley	0.0911586
Lucas	0.0908886
McInnis	0.0904605
Detmer	0.0902022
Deutsch	0.0896131
Dixon	0.087832
Palmer	0.0875621
Graziani	0.0858425
Napolitano	0.0857819
Nadler	0.0855476
Waxman	0.0852054
Dilfer	0.0841278
"Brian Griese"	0.083488
McKeon	0.0834021
Schaffer	0.0829912
crouch	0.0829762
Pickett	0.0816582
Gutierrez	0.0816568
Grbac	0.0815957
Hasselbeck	0.081503
McNabb	0.0809536
Bonner	0.0807379
Danner	0.0802812
Warner	0.0797288
"Chris Weinke"	0.0793346
O'Donnell	0.0792972
Weldon	0.0787105
Gannon	0.078465
Cummings	0.0783791
Newcombe	0.0778873
Larson	0.0778725
Peterson	0.0778033
McNair	0.0776447
Laudrup	0.0765191
Menendez	0.0765036
Garrett	0.0762279
Metcalf	0.0761897
"Randall Cunningham"	0.0760389
Delahunt	0.0758227
Henson	0.0755618
smith	0.0752681
Kramer	0.0750371
Johnson	0.0750043
Carr	0.0748016
Evans	0.0743928
Marinovich	0.0743064
Ortiz	0.0739886
Kelly	0.0739394
Northup	0.073815
Engel	0.0737944
Meehan	0.0733892
"Kent Graham"	0.0731845
Elliott	0.0730035
Krzyzewski	0.0728479
Owens	0.0725493
"Joe Hamilton"	0.0725423
Blake	0.0723572
Randall	0.0723498
"Jake Plummer"	0.0721182
Stewart	0.0716007
"Troy Aikman"	0.0715123
Chabot	0.0714892
Doyle	0.0713665
Boller	0.0713553
Kapono	0.0710668
Bliley	0.0709299
Canady	0.0708419
Irwin	0.0700911
Hobson	0.0700073
Thompson	0.0699383
Farr	0.0697424
STALEY	0.0696145
"Vinny Testaverde"	0.069565
Isakson	0.0694174
Ryan	0.0692724
Condit	0.0689247
"Mark Brunell"	0.0687755
"Jon Kitna"	0.0687368
Largent	0.068587
"Kerry Collins"	0.0685221
"Chris Chandler"	0.0678643
Bonilla	0.0677956
Graham	0.0677555
Woodard	0.0675882
"Cade McNown"	0.0674895
Fletcher	0.0674527
"Kurt Warner"	0.0674223
Stevenson	0.067416
Lowey	0.067414
Szczerbiak	0.0674041
Watts	0.0672581
Druckenmiller	0.0670963
Pelosi	0.0670225
Watkins	0.0669893
Cooper	0.0669678
"Bubby Brister"	0.0669538
Fiedler	0.0669223
Reyes	0.0668516
Gwynn	0.0667767
collins	0.0666949
Gretzky	0.0666494
McIntosh	0.0666218
McIntyre	0.066599
McHugh	0.0665109
Barton	0.0663496
Passarella	0.066303
"Tee Martin"	0.0662462
Rogan	0.0661391
Plante	0.0659572
Gomez	0.065927
Casey	0.0656909
Ellis	0.0656659
McMahon	0.0655049
McKinley	0.0653728
Gagne	0.0652298
Webb	0.0650507
Strickland	0.0647264
Schoeneweis	0.0646187
Harrington	0.0645854
Garcia	0.0645176
Abdur-Rahim	0.0643524
Herta	0.0643301
"Doug Flutie"	0.0642968
McCartney	0.0642271
Faulk	0.0641497
Avery	0.0641133
Mitchell	0.0639897
Kolbe	0.063948
Barkley	0.0638441
Portman	0.0638361
"Steve McNair"	0.0637251
Kidd	0.0636778
Chambliss	0.0636281
martin	0.0634066
Houghton	0.0633056
Williams	0.0632985
Lockhart	0.0631957
"Drew Bledsoe"	0.0630789
Mathis	0.0630683
McCollum	0.0630433
Rogers	0.0630106
Neal	0.0628876
Gordon	0.0628666
"Brett Favre"	0.0628613
Holdsclaw	0.0627896
Inkster	0.0627554
Spencer	0.0625537
Levin	0.0625384
Brooks	0.0624861
Sharma	0.062452
Bono	0.0623965
Culpepper	0.0623873
Gilman	0.0623417
Mehta	0.062329
Cink	0.0622516
jacoby	0.062231
Jones	0.062061
Henderson	0.0620109
Bates	0.0619672
El-Amin	0.0619577
Scott	0.0619298
Olowokandi	0.0619275
))
("Brady Anderson" (desc 3401.99) (sims
"Jeff Conine"	0.322109
"B.J Surhoff"	0.302819
"Harold Baines"	0.301205
"Will Clark"	0.292373
"Eric Owens"	0.287869
"Marvin Benard"	0.283003
"Mike Bordick"	0.271325
"Delino DeShields"	0.265154
"Terrence Long"	0.249656
"Doug Glanville"	0.241906
"Eric Davis"	0.231903
"Ray Lankford"	0.224633
"Albert Belle"	0.222375
"John Vander Wal"	0.219903
"Quinton McCracken"	0.219082
"Bruce Aven"	0.21853
"Geoff Jenkins"	0.218002
"Preston Wilson"	0.215681
"Carlos Beltran"	0.214198
"Matt Lawton"	0.213444
"Mark Kotsay"	0.207065
"Juan Encarnacion"	0.205045
"Rondell White"	0.20492
"Rich Becker"	0.200149
"Bobby Abreu"	0.198344
"Ray Durham"	0.195204
"Marquis Grissom"	0.194516
"Ellis Burks"	0.194351
"Richard Hidalgo"	0.192718
"Kenny Lofton"	0.192251
"Lance Johnson"	0.192095
"Jeffrey Hammonds"	0.19174
"Darren Lewis"	0.191635
"Bubba Trammell"	0.188624
Fullmer	0.188274
"Bobby Higginson"	0.188101
"Cal Ripken"	0.187305
"Roger Cedeno"	0.187239
Rolen	0.186858
"Gerald Williams"	0.18678
"Ruben Rivera"	0.186543
"Carlos Lee"	0.186127
"Joe Carter"	0.185818
"Vladimir Guerrero"	0.185021
"Shannon Stewart"	0.184592
"Tony Batista"	0.180799
"Dante Bichette"	0.180682
"Jose Guillen"	0.17988
"Jay Payton"	0.179824
Vidro	0.179637
"Steve Finley"	0.179014
"Ron Gant"	0.178744
"Todd Hollandsworth"	0.178728
"Tom Goodwin"	0.177992
"J.D Drew"	0.17741
"Raul Mondesi"	0.177127
"Pat Meares"	0.176253
"Derrek Lee"	0.175676
"Benny Agbayani"	0.175589
Burnitz	0.175554
"Richie Sexson"	0.1754
"Jermaine Dye"	0.174618
"Johnny Damon"	0.174373
"Peter Bergeron"	0.173064
"Matt Stairs"	0.172254
"Scott Spiezio"	0.172175
"Jim Thome"	0.171448
"Mike Sweeney"	0.171256
"Charles Johnson"	0.171094
"Joe McEwing"	0.170372
"Robin Ventura"	0.169746
"Damian Jackson"	0.169692
"Garret Anderson"	0.169147
"David Ortiz"	0.168442
"Brian Hunter"	0.167749
"Jose Valentin"	0.167383
"Dean Palmer"	0.167143
"Phil Nevin"	0.167118
"Karim Garcia"	0.166876
"Al Martin"	0.16621
"Otis Nixon"	0.165668
Lankford	0.164941
"Joe Randa"	0.16486
"Corey Koskie"	0.163788
"Stan Javier"	0.163508
"Brian Giles"	0.162648
"Deivi Cruz"	0.162562
"Carlos Delgado"	0.162104
"Roberto Alomar"	0.16185
"Fernando Vina"	0.161263
"Dave Martinez"	0.160638
"Matt Luke"	0.160252
"Kevin Young"	0.160208
"Brant Brown"	0.160048
"Damian Miller"	0.159661
"Todd Walker"	0.159353
Sexson	0.158913
"Cliff Floyd"	0.1589
"Devon White"	0.158841
"Luis Polonia"	0.158701
"Gary Sheffield"	0.158546
"Henry Rodriguez"	0.158231
"Pat Burrell"	0.157872
"Manny Ramirez"	0.157758
"Matt Franco"	0.157286
"Chad Curtis"	0.156578
"J.T Snow"	0.156346
"Mike Cameron"	0.156319
"Rafael Palmeiro"	0.155706
"Reggie Sanders"	0.155701
"Damon Buford"	0.155569
"Michael Tucker"	0.15538
"Warren Morris"	0.15513
"Russ Johnson"	0.155048
"Magglio Ordonez"	0.154615
"Kelly Stinnett"	0.154285
"Wil Cordero"	0.153271
"Lance Berkman"	0.153169
"Chris Gomez"	0.153012
Aurilia	0.151973
"Royce Clayton"	0.151637
"Jason McDonald"	0.151584
"Darryl Hamilton"	0.151462
"Jeromy Burnitz"	0.150395
"Dmitri Young"	0.150137
"Luis Gonzalez"	0.15012
Renteria	0.149337
"Barry Bonds"	0.148989
"Jay Buhner"	0.148894
"Ricky Ledee"	0.148741
"Tony Phillips"	0.148493
"Jeremy Giambi"	0.148334
"Tim Salmon"	0.148032
"Glenallen Hill"	0.147897
"Travis Fryman"	0.147399
"Brian Jordan"	0.147224
"Ron Coomer"	0.146664
Nevin	0.146163
"Chris Widger"	0.146127
"Frank Thomas"	0.14574
"Mark Loretta"	0.14559
"Neifi Perez"	0.145525
"Luis Castillo"	0.14544
"Melvin Mora"	0.145257
"Dave Hansen"	0.144473
"F.P Santangelo"	0.143926
"Paul Konerko"	0.143869
"Darin Erstad"	0.143199
Tejada	0.141965
"Jason Giambi"	0.141838
"Tony Womack"	0.141825
"Todd Pratt"	0.141555
"Adrian Beltre"	0.141401
"Brian McRae"	0.141348
"Danny Bautista"	0.141301
"Moises Alou"	0.141196
"Rob Ducey"	0.141161
"Andruw Jones"	0.140805
"Jose Canseco"	0.140706
"Butch Huskey"	0.14068
"Lenny Harris"	0.140559
"Adam Kennedy"	0.139756
"Darren Bragg"	0.139571
Glanville	0.139507
"Gabe Kapler"	0.139337
"Tony Eusebio"	0.13887
"Trot Nixon"	0.138617
"Jon Nunnally"	0.138467
Higginson	0.138464
"Edgardo Alfonzo"	0.137906
"Miguel Cairo"	0.137842
"Bobby Bonilla"	0.137528
"Cal Ripken Jr."	0.137103
Spiers	0.136968
Klesko	0.136719
"Ben Grieve"	0.136648
"Bill Mueller"	0.136077
"Mickey Morandini"	0.136073
"Travis Lee"	0.135961
"Jose Hernandez"	0.135738
"Rickey Henderson"	0.13548
"Orlando Palmeiro"	0.135465
McGriff	0.135311
"Jose Cruz Jr."	0.135249
"Carl Everett"	0.135159
"Jason Varitek"	0.134691
"Trenidad Hubbard"	0.134631
Dunston	0.134338
"Rich Aurilia"	0.133615
"Marty Cordova"	0.133578
Abreu	0.13342
"Shawn Green"	0.133391
"Gregg Jefferies"	0.133109
Alicea	0.133082
"Keith Lockhart"	0.132689
"Paul Bako"	0.132422
"Raul Ibanez"	0.132286
"Jim Edmonds"	0.132164
"Scott Rolen"	0.13204
"Kurt Abbott"	0.132007
"Eddie Taubensee"	0.131911
Lofton	0.131847
"Derek Bell"	0.13172
Alomar	0.131126
"Andy Fox"	0.13105
"Mike Stanley"	0.130972
"Jose Vidro"	0.130807
"Fred McGriff"	0.130576
"Troy Glaus"	0.130517
"David Dellucci"	0.130365
Cirillo	0.130103
"Ken Griffey Jr."	0.129938
"Ryan Klesko"	0.129816
"Tim Bogar"	0.129805
"Quilvio Veras"	0.12976
"Craig Counsell"	0.129267
"Bill Spiers"	0.129056
"Ricky Gutierrez"	0.129042
"Mike Lamb"	0.129028
"Manny Alexander"	0.129012
"Wally Joyner"	0.128833
Baines	0.128411
"Edgar Martinez"	0.127658
Batista	0.127546
Ripken	0.127451
"Troy O'Leary"	0.127407
"John Mabry"	0.126891
"Eric Karros"	0.126859
"Mike Lieberthal"	0.1267
"Kevin Stocker"	0.126551
"Midre Cummings"	0.125864
"Mark Grace"	0.125722
"Bernie Williams"	0.125446
"Shawon Dunston"	0.125134
"Herbert Perry"	0.124858
"Jeff Bagwell"	0.124795
"Greg Vaughn"	0.124667
"Sandy Alomar"	0.12454
"Jason Kendall"	0.124441
"Kirk Gibson"	0.124257
"Rico Brogna"	0.123843
"Luis Alicea"	0.123788
"Willie Greene"	0.123361
Alfonzo	0.123247
"Rusty Greer"	0.123053
Fryman	0.122999
"Jose Offerman"	0.122976
"Tony Gwynn"	0.122801
Veras	0.122274
"Todd Greene"	0.121823
"Brook Fordyce"	0.121737
Thome	0.121355
"Mark McLemore"	0.121297
Bordick	0.121292
"Tino Martinez"	0.121014
"Mark Grudzielanek"	0.120705
"Mike Benjamin"	0.120261
Surhoff	0.12009
"Eric Chavez"	0.11994
"Jeff Kent"	0.119788
Canseco	0.119722
"Bengie Molina"	0.119588
"Sidney Ponson"	0.119513
"Kevin Jordan"	0.119442
"Alex Gonzalez"	0.119023
"Russ Davis"	0.118932
"Edgar Renteria"	0.118881
"Jeff Cirillo"	0.11869
"Paul O'Neill"	0.118607
Giambi	0.117765
"Miguel Tejada"	0.117732
"Bernard Gilkey"	0.117348
"Mike Mussina"	0.1172
"Ken Caminiti"	0.117063
"GERONIMO BERROA"	0.116931
"Damion Easley"	0.116768
"Roberto Kelly"	0.115954
"Larry Walker"	0.115886
"Eric Young"	0.115599
"Walt Weiss"	0.115539
grieve	0.115513
"Brad Fullmer"	0.115506
"Cristian Guzman"	0.114997
"Daryle Ward"	0.114318
Hollins	0.114202
"Scott Brosius"	0.114038
"Ozzie Guillen"	0.11372
"Chuck Knoblauch"	0.113113
Karros	0.112853
"Randy Velarde"	0.111928
Erstad	0.111846
"Ruben Mateo"	0.111801
Loretta	0.111797
"Matt Mieske"	0.111636
Bagwell	0.111238
"Craig Biggio"	0.110872
"John Olerud"	0.110714
"Scott Hatteberg"	0.110155
"Mike Simms"	0.110147
Saenz	0.11006
"Alex Rodriguez"	0.109674
"Charlie Hayes"	0.109109
"Mike Lansing"	0.108427
"Javy Lopez"	0.108425
Ledee	0.10836
"Benji Gil"	0.10824
Lieberthal	0.108032
"Barry Larkin"	0.107971
"David Bell"	0.107861
"Lee Stevens"	0.107636
"Brian Daubach"	0.107574
Biggio	0.107406
"Ken Griffey"	0.106399
Catalanotto	0.106295
Glaus	0.10617
Randa	0.106138
"Scott Erickson"	0.10597
"Greg Myers"	0.105345
"John Valentin"	0.10527
"Pokey Reese"	0.10503
"CARLOS HERNANDEZ"	0.104874
"Todd Helton"	0.104854
Hidalgo	0.104805
Castilla	0.104795
"Brian Johnson"	0.104576
Daubach	0.10447
"Brad Ausmus"	0.104305
"Mo Vaughn"	0.10398
"David Segui"	0.103941
"John Jaha"	0.10393
"Enrique Wilson"	0.103702
"Tony Clark"	0.1037
Burks	0.10369
"Chili Davis"	0.103544
Bichette	0.103466
"Jose Vizcaino"	0.102922
Olerud	0.102561
"Derek Jeter"	0.102506
"Luis Lopez"	0.102024
Ordonez	0.101861
Palmeiro	0.101466
"Carlos Baerga"	0.101385
Agbayani	0.101029
Mondesi	0.100967
Tatis	0.100475
Lawton	0.100444
"Jim Leyritz"	0.100368
Bautista	0.100001
))
("Brady Bunch" (desc 1717.79) (sims
Baywatch	0.155472
"Love Boat"	0.145283
"Love Lucy"	0.138947
"Star Trek"	0.126838
Flintstone	0.126137
"Law &AMP; Order"	0.122524
"Home Run Derby"	0.120095
"Twilight Zone"	0.118662
lassie	0.108869
"Jerry Springer"	0.10239
"Murphy Brown"	0.095592
"Jerry Springer Show"	0.092829
"Home Improvement"	0.0912734
glam	0.0892796
Seinfeld	0.0865574
Buffy	0.084699
"Lone Ranger"	0.0845422
"Mod Squad"	0.0839875
"NYPD Blue"	0.0833832
honeymooner	0.0828767
"Indiana Jones"	0.0816736
Frasier	0.0815801
"Nash Bridges"	0.0796093
Sleepwalking	0.078785
"James Bond"	0.0777063
Simpsons	0.0761155
"Spin City"	0.075466
"Andy Griffith"	0.0748715
"Lethal Weapon"	0.073619
"Rat Pack"	0.0725688
"Ally McBeal"	0.0723151
"South Park"	0.072022
Batman	0.0719063
"Happy Days"	0.0714066
"Melrose Place"	0.0706385
"Chicago Hope"	0.0696919
"Sesame Street"	0.0694319
X-Files	0.069422
E.R	0.0688886
"Drew Carey Show"	0.0677519
Xena	0.0668397
"Twin Peaks"	0.0665967
"silent movie"	0.0662174
"Everybody Loves Raymond"	0.066065
SportsCenter	0.0651366
"Third Watch"	0.0649982
"Masterpiece Theater"	0.0628898
JAKES	0.062194
"The Sopranos"	0.0620758
"Monty Python"	0.0615082
"West Wing"	0.0606866
"Mary Tyler Moore Show"	0.059909
"Austin Powers"	0.0592042
"Suddenly Susan"	0.0590965
Goodfellas	0.0589781
Porno	0.0584251
"Lincoln Center Theater"	0.0582793
avenger	0.0573457
"Love Bug"	0.0566068
made-for-TV	0.0565143
Godzilla	0.0553913
slasher	0.05529
Zorro	0.0552508
Moesha	0.0551185
Terminator	0.0549002
"Mary Tyler Moore"	0.0546792
"Dateline NBC"	0.0541607
"Roundabout Theater Company"	0.0538588
"Late Show"	0.0536248
Gunsmoke	0.0533369
Monkees	0.0532824
pinball	0.0525792
"King Kong"	0.0518168
"Kung Fu"	0.0515715
Superman	0.0513128
"Night Live"	0.0510236
"Who Wants"	0.0509952
"Abu Musa"	0.050891
stooge	0.0504276
Spider-Man	0.0502435
"Jenny Jones Show"	0.0499893
"Dirty Bird"	0.0499735
jag	0.0495454
disbanding	0.0488168
Felicity	0.0487631
Cosby	0.047829
"Marx Brothers"	0.0475783
"Errol Flynn"	0.0472105
"Next Generation"	0.0471468
"Cosby Show"	0.046954
"wild West"	0.0468205
Malcolm	0.0464524
"Elvis Presley"	0.0462769
six-minute	0.0458223
"Norman Lear"	0.0457059
anime	0.0456409
Frankenstein	0.0455585
Bullwinkle	0.0455265
cowgirl	0.0454866
uptempo	0.0454792
Rugrats	0.0453677
"Irish Catholic"	0.0453301
striptease	0.0452229
apnea	0.0451532
Sabrina	0.0450402
"Howdy Doody"	0.0447415
"Eyes Wide Shut"	0.0446103
SKA	0.0446011
"five key"	0.0443312
three-minute	0.0442927
"Martha Stewart"	0.0442781
Dolittle	0.0440979
"Fantasy Island"	0.0440238
summertime	0.0439264
"promised land"	0.0438692
fairytale	0.0438691
Pleasantville	0.043797
Iran-contra	0.0437091
"chain gang"	0.0436199
"Bear Bryant"	0.0435455
"New Territories"	0.0435079
Springer	0.0434582
Hurlyburly	0.0432125
raunchy	0.0431256
"Who Wants to Be a Millionaire"	0.042992
flipper	0.0429697
preteen	0.0429243
wonderland	0.042895
"Princess Mononoke"	0.0427947
Instinet	0.042639
"Family Guy"	0.0424224
Pemba	0.0423787
geisha	0.0422636
cubby	0.0422598
"Jurassic Park"	0.0422061
"Animal Farm"	0.0417738
Roseanne	0.0416618
Falcone	0.0416482
late-'@@s	0.0416349
"Animal House"	0.0416331
Teletubbies	0.0412662
"Bing Crosby"	0.0412168
imp	0.0411472
"Frank Capra"	0.0407313
"Burt Bacharach"	0.0405455
"Patch Adams"	0.0405424
klezmer	0.0405062
Voyager	0.0404895
rock-and-roll	0.0402991
fibrillation	0.0402978
eight-minute	0.0401602
"Larry Sanders Show"	0.0400468
"Top @"	0.0400019
))
(Bragg (desc 1367.54) (sims
Rolen	0.193334
Cirillo	0.167783
Brogna	0.160914
"Bobby Abreu"	0.157213
Abreu	0.152993
"Chris Widger"	0.151154
Cleary	0.14472
Agbayani	0.142169
Nilsson	0.137217
Vidro	0.136598
Baerga	0.134504
Burnitz	0.134196
Alicea	0.131935
"John Vander Wal"	0.128326
"Geoff Jenkins"	0.126945
"Mark Loretta"	0.126797
Schafer	0.126598
DeShields	0.126542
McLemore	0.124178
"Matt Lawton"	0.122763
Valentin	0.122252
Bautista	0.120473
Hatteberg	0.120385
"Marvin Benard"	0.120296
Glanville	0.120282
Edson	0.120205
Fryman	0.119606
Canseco	0.11932
Counsell	0.118951
"Damian Miller"	0.118769
Randa	0.118693
Lieberthal	0.117285
Guzman	0.116902
Hollins	0.11657
Gilkey	0.116024
Beltran	0.115918
Daubach	0.115459
Spiers	0.115003
Castilla	0.114314
"Eric Chavez"	0.114286
Fullmer	0.113825
Higginson	0.113648
Tuttle	0.112255
Womack	0.112111
Bergeron	0.111732
"Jeff Conine"	0.111692
Renteria	0.111435
"Miguel Cairo"	0.111268
Vizcaino	0.111229
"Ron Coomer"	0.111155
Greenwald	0.1111
Fiorina	0.110669
Lampkin	0.110647
"Orlando Palmeiro"	0.110548
Dunston	0.110458
Lugo	0.110359
Jaffe	0.110315
"Vladimir Guerrero"	0.110121
"Reggie Sanders"	0.108915
"Herbert Perry"	0.108805
Roberson	0.108798
"Matt Walbeck"	0.108254
"Bill Mueller"	0.10753
Lovett	0.107261
"Brian McRae"	0.10719
Bordick	0.107039
Alfonzo	0.106995
"Deivi Cruz"	0.106714
"Jose Valentin"	0.10651
"Dmitri Young"	0.106439
"Cliff Floyd"	0.105833
Blum	0.10504
"Luis Alicea"	0.10502
Lofton	0.10407
Upshaw	0.103611
Klesko	0.103596
"Derrek Lee"	0.103552
Feldman	0.103132
"Benny Agbayani"	0.103076
Lankford	0.102827
Batista	0.102819
Cordero	0.102242
Barad	0.102081
Tatis	0.101907
"Cristian Guzman"	0.101861
"Bruce Aven"	0.101829
Greer	0.101598
"Brian Giles"	0.101072
"Mickey Morandini"	0.101065
"Eddie Taubensee"	0.100583
Dion	0.100452
"Eric Karros"	0.100238
"Damian Jackson"	0.0999903
Rivlin	0.0997714
"Bill Spiers"	0.099771
"Todd Helton"	0.0997107
Karros	0.0996611
Quintero	0.0995197
Mabry	0.099039
Ochoa	0.0989166
Frye	0.0988619
Dellucci	0.0988485
"Jeff Cirillo"	0.0987519
"Bobby Higginson"	0.0986391
"Eric Owens"	0.0985257
Furcal	0.0983591
"Scott Spiezio"	0.0983533
Hamlin	0.0983051
"Dave Hansen"	0.098223
Nevin	0.0980889
Caminiti	0.097814
Mapes	0.097739
"Richie Sexson"	0.0976244
Cline	0.0975464
Hidalgo	0.0975172
"Jose Vidro"	0.0974057
Gutierrez	0.0973545
"Henry Rodriguez"	0.0973255
"Mark Kotsay"	0.0972904
Pena	0.0970515
"Jay Bell"	0.096928
Jensen	0.0969088
"Troy Glaus"	0.0969038
"Carlos Lee"	0.0968387
Biggio	0.0968226
Cabrera	0.09641
Lockwood	0.0963076
LeFave	0.0953067
"Todd Greene"	0.0949916
Erstad	0.0948931
Sheehy	0.0948796
Britton	0.0947783
Hollandsworth	0.0946486
Giambi	0.094483
McGriff	0.094394
Ordonez	0.0942075
"Adam Kennedy"	0.0941934
Henley	0.0939307
Hickman	0.0938241
"Marquis Grissom"	0.0936362
Cruz	0.0936222
"Paul Konerko"	0.0936116
Sojo	0.093553
"J.T Snow"	0.0934267
Burks	0.09327
Kurtz	0.0932561
Ledee	0.0931781
Hahn	0.0931191
"Keith Lockhart"	0.0930326
Grudzielanek	0.0928111
"Matt Stairs"	0.092748
McRae	0.0927427
Konerko	0.0925992
Farber	0.0925933
"Neifi Perez"	0.0925807
Molinari	0.0924509
Alomar	0.0922857
Goodwin	0.0919811
"Fred McGriff"	0.0908582
"Mike Lieberthal"	0.0908545
"Darin Erstad"	0.0906339
"John Valentin"	0.0903393
Stinnett	0.0903312
"Adrian Beltre"	0.0902953
singleton	0.0901648
"Jason Kendall"	0.0898558
Rowley	0.0896664
"Kevin Jordan"	0.0896307
"Jose Hernandez"	0.0893897
COYNE	0.0893014
Copeland	0.0891969
Delgado	0.0890152
"Kid Rock"	0.0888927
"Kevin Young"	0.0888123
Garber	0.0888001
"Manny Alexander"	0.0887647
Lowry	0.0886744
"Pat Meares"	0.0886318
"Jim Thome"	0.0885741
Wiggins	0.088498
Kurth	0.0884718
Midler	0.0884101
Olerud	0.0881574
"Rondell White"	0.0880957
Vizquel	0.0879705
Boardman	0.087855
"Tom Goodwin"	0.0878021
"Preston Wilson"	0.0877694
"Edgar Martinez"	0.0877229
Iglesias	0.0876257
Phish	0.087527
"Randy Velarde"	0.0874156
"Will Clark"	0.0873944
"Warren Morris"	0.087275
Walbeck	0.0869506
Tilberis	0.0867769
Berle	0.0867649
Lawton	0.086519
"Matt Franco"	0.0863191
Cameron	0.0862613
))
(braggadocio (desc 1421.33) (sims
self-pity	0.0698226
double-entendres	0.0661444
sadism	0.0595986
bluster	0.0514423
defensiveness	0.0490879
in-jokes	0.0469756
promiscuity	0.0466458
cannibalism	0.0459855
drivel	0.0459731
idolatry	0.0450452
self-consciousness	0.0449618
pronoun	0.0436067
malignancy	0.043128
foreplay	0.042952
sarcasm	0.0428979
DECADENCE	0.0425329
"elbow room"	0.0423177
lunacy	0.0415673
revelry	0.0415054
Indiscipline	0.0411349
bile	0.0409153
))
(Bragman (desc 3607.86) (sims
Hagelin	0.128795
Hagel	0.117584
Madrazo	0.112526
Berisha	0.110923
Caddell	0.106552
Engler	0.106109
Harshbarger	0.1052
Ammiano	0.103394
Verney	0.102456
Speight	0.0982973
Seselj	0.0967452
Carollo	0.0931732
Noboa	0.0931602
Ftorek	0.0927454
Engel	0.0922806
Zambrano	0.0922436
Advani	0.0900702
Garcetti	0.0892523
Warshaw	0.0887421
Deri	0.0886134
Boehner	0.0886085
Alioto	0.0873776
Hoffa	0.0857102
Pataki	0.0849767
Plavsic	0.0846681
"Sam Rainsy"	0.084521
Bouchard	0.084072
Singson	0.083589
Turabi	0.0833114
Rudenstine	0.0829395
Poplasen	0.0829362
Zacarias	0.0828836
Hodler	0.082313
Daft	0.081971
Trimble	0.081865
Salazar	0.0817817
Brazile	0.0817697
Zyuganov	0.0814911
Sharpton	0.0814129
Beilin	0.081373
Luzhkov	0.0812813
"Le Pen"	0.0808549
Cardoso	0.0808008
Cornyn	0.0807683
Megawati	0.0805748
LaPierre	0.0804638
Hoddle	0.0803137
Arias	0.0803101
McCurry	0.0800175
Showalter	0.0798859
Deutch	0.0796126
Megret	0.0795784
Inhofe	0.0795759
BURNHAM	0.0791588
Ozawa	0.0787241
Supachai	0.0785322
Buchanan	0.0784088
Kulikov	0.0780262
Chubais	0.0779714
Florio	0.0778703
Nader	0.0778467
Milbury	0.0776768
Quayle	0.077372
Gargan	0.0770054
Leedham	0.0769557
Vogts	0.0769293
Torricelli	0.0762666
Connerly	0.0762305
Ashcroft	0.0762163
Muckler	0.0760907
Sezer	0.0760688
Nethercutt	0.0760538
Draskovic	0.0753919
Willes	0.0753123
Arbour	0.0752748
Khamenei	0.0749347
Selig	0.0747947
D'Amato	0.0747234
Soong	0.0745321
Ferraro	0.0742095
Ganga	0.0741674
Fulani	0.0738682
Kostunica	0.0738558
Pelosi	0.0737761
Schumer	0.0735993
Armey	0.0735841
Kerry	0.0735074
Berenson	0.0730564
Beazley	0.0729801
Lundberg	0.0729011
Lavin	0.0728955
Gullikson	0.0728823
Mordechai	0.0728138
Khatami	0.0727808
Bochy	0.0726226
Soares	0.0725732
Chavez	0.0724074
Shays	0.0723838
Gephardt	0.0722843
Pastrana	0.0722137
McLane	0.0721625
Wolfson	0.0721372
Ritter	0.0715938
Vasile	0.0715025
Musharraf	0.0714874
Bruno	0.0713199
Preval	0.0712564
McCall	0.0711675
Berlusconi	0.0711408
Kearin	0.0709605
Mauro	0.070881
Feinstein	0.0708677
Summitt	0.0707872
Finkel	0.0705944
Gramm	0.0705365
Reimer	0.0705284
Fong	0.070276
Cellucci	0.0702663
Kabila	0.0701803
Labastida	0.0700468
Raduyev	0.0700079
Djukanovic	0.0698445
Angara	0.0697815
Yazdi	0.0697109
Ruehe	0.0696838
HHS	0.0695076
Corzine	0.0694223
Carnahan	0.0693224
"Glenn Hoddle"	0.0692844
Feingold	0.0692036
Cuomo	0.0691578
Guei	0.0690516
Lafontaine	0.0689422
Posner	0.0688687
Sharansky	0.0688334
Graziano	0.0688312
Valenti	0.0685804
Stepashin	0.0685076
Mandelson	0.0684343
Galvin	0.0684
Mugabe	0.06831
Maldini	0.0681956
Hodges	0.0680543
Kerasiotes	0.0679835
Kornberg	0.0678716
Schottenheimer	0.0678371
Shalala	0.0674893
Koskinen	0.0674338
Thayer	0.0673395
Badillo	0.0673181
Havelange	0.0671645
Obasanjo	0.0671612
Vacco	0.0670102
Jovanovic	0.0668242
Maskhadov	0.0668146
Ebbers	0.0666052
Hunsicker	0.0665258
Satcher	0.0664755
Daley	0.0664429
Vallone	0.0663647
Thaci	0.0663386
Spyridon	0.0663149
Wannstedt	0.0661797
Spitzer	0.0661007
Romar	0.0660307
Tevanian	0.065922
Weizman	0.0658857
Nouri	0.0658607
Rugova	0.0656922
McAlister	0.0655696
Lazio	0.0653562
Jacquet	0.0653357
Choate	0.0653247
Weldon	0.0652511
Archer	0.0651633
Milutinovic	0.0651139
Hastert	0.0651117
Daschle	0.0650606
Meissner	0.0649759
Kesri	0.0648762
McAuliffe	0.06482
Connell	0.064758
Samaranch	0.0647314
Lukashenko	0.0647058
Bettman	0.0646334
Gingrich	0.0646228
Olsen	0.0646112
Bustamante	0.0643322
Tarawneh	0.0643183
Gantamirov	0.0643101
Goossen	0.0643041
McGreevey	0.064222
Ivester	0.064183
Scharping	0.0640625
Vieira	0.0639052
Koroma	0.0638559
Lott	0.0637837
Mineta	0.0636951
Gormley	0.0633962
McCaffrey	0.0633503
))
(Brahimi (desc 2699.05) (sims
Ikeda	0.275407
"de Charette"	0.270635
Stoyanov	0.24254
Komura	0.241309
Moratinos	0.223861
Azad	0.219056
Kasoulides	0.219049
"De Soto"	0.215044
Vollebaek	0.211163
Rifkind	0.208325
Velayati	0.206777
Granic	0.204847
Pickering	0.199301
Wolfensohn	0.193742
Kok	0.193284
Pustovoitenko	0.192139
Luong	0.191887
Cem	0.190524
Ahtisaari	0.18911
Constantinescu	0.188954
Holl	0.188911
Scalfaro	0.188825
Nzo	0.185289
Zou	0.184311
Pangalos	0.184143
Baz	0.183187
Kostov	0.182439
Phieu	0.180258
Nujoma	0.179001
Ogata	0.17687
Narayanan	0.175725
Alatas	0.175428
Kabariti	0.174586
Kharrazi	0.174472
Guterres	0.173604
Talbott	0.173089
Abdel-Meguid	0.17298
Meguid	0.172846
Deuba	0.17209
Lipponen	0.169656
Axworthy	0.165817
Klima	0.164668
Ikimi	0.164494
Diouf	0.162707
Karimov	0.161296
Shareh	0.161018
"Lakhdar Brahimi"	0.159351
Ben-Ami	0.158311
Frei	0.158155
Rodionov	0.157898
Jayakumar	0.156331
Muluzi	0.155685
Surin	0.155468
Dini	0.154906
Akayev	0.154065
Xiong	0.153165
Mkapa	0.152668
Kyprianou	0.151464
Orban	0.151152
Koo	0.149875
Santer	0.149446
Niyazov	0.147906
Solana	0.147714
Khaddam	0.147391
Sumaye	0.146487
Aziz	0.145591
Sahnoun	0.144634
Jovanovic	0.143978
Moussa	0.143719
Meles	0.143635
Muoi	0.142992
Chissano	0.142739
Sampaio	0.142184
Shevardnadze	0.141664
Vedrine	0.140846
Leghari	0.140436
Ivanov	0.14002
Kwasniewski	0.139378
Papandreou	0.13741
Ganzouri	0.137264
"Abidine Ben Ali"	0.136714
Hamad	0.136198
Demirel	0.135996
Brittan	0.135305
Insulza	0.135146
Iliescu	0.134783
Vasile	0.134664
Chavalit	0.134243
Hrawi	0.133649
Ciampi	0.133107
Gujral	0.132848
Aznar	0.132687
Indyk	0.13264
Qiao	0.131511
Gaddafi	0.131286
Ruehe	0.130423
Menem	0.130309
Boueiz	0.129471
Nazarbayev	0.129389
Tsang	0.129016
Zeroual	0.128683
Beye	0.128095
Gowda	0.128077
Banharn	0.127832
Grachev	0.127823
Kinkel	0.127292
Advani	0.126676
Holbrooke	0.126609
Milo	0.126424
Cavanaugh	0.125994
Sergeyev	0.125061
Bouteflika	0.124799
Xanana	0.124684
Goh	0.124596
Saleh	0.124322
Ecevit	0.123762
Khai	0.123621
"Than Shwe"	0.12324
Qian	0.12203
Barzani	0.121877
Boutros-Ghali	0.12151
Brundtland	0.120965
Kono	0.120774
Herzog	0.12073
Simitis	0.119514
Ghali	0.118692
Juncker	0.118006
Majali	0.117846
Tian	0.117611
Bolger	0.117305
Museveni	0.117159
Camdessus	0.117024
Fino	0.116757
Prueher	0.116591
Juppe	0.116566
Zeng	0.115882
Hasina	0.11563
"Tariq Aziz"	0.115313
Berri	0.115137
Bashir	0.114796
Siazon	0.113855
"Secretary General Esmat Abdel-Meguid"	0.113705
Luo	0.113566
Husseini	0.11353
Shipley	0.113305
Tarawneh	0.113287
Hu	0.112989
Scharping	0.112843
Bondevik	0.112196
Annan	0.112001
"Dennis Ross"	0.11162
Zhirinovsky	0.111488
Rabbani	0.110728
Majko	0.110665
Rasmussen	0.110633
Albright	0.110618
Hashimoto	0.11056
Ekeus	0.110408
Aliyev	0.110364
al-Sahaf	0.110099
"Prime Minister Banharn Silpa-Archa"	0.110053
Iglesias	0.109655
Kumaratunga	0.109568
Kuchma	0.109501
Masire	0.109158
Koirala	0.109133
Chirac	0.10877
Shara	0.108703
Sharaa	0.108516
Malu	0.10849
Chuan	0.108335
Clerides	0.107953
Downer	0.107857
Rong	0.107103
Koehler	0.106962
Bellamy	0.106735
"Secretary General Esmat Abdul-Meguid"	0.106326
Eizenstat	0.106184
Abubakar	0.105547
Larsen	0.105528
Tung	0.105296
Rakhmonov	0.105061
Mubarak	0.104652
"Lee Hsien Loong"	0.104606
"Pope John Paul"	0.103641
Rau	0.10361
Zuma	0.103389
Shamshad	0.103345
Leung	0.102997
Prodi	0.102702
Persson	0.102307
Sanguinetti	0.102169
Chiluba	0.102028
Fu	0.10202
Ruggiero	0.101978
Salim	0.101915
Primakov	0.101903
Christopher	0.101705
Jia	0.101431
"Jordanian King Abdullah Bin Hussein"	0.101358
Abbas	0.101321
Dehaene	0.101273
Shaath	0.10113
Sponeck	0.101031
Nateq-Nouri	0.100597
Hariri	0.10043
Wilhelm	0.100408
LeBlanc	0.100357
Klestil	0.100274
Chretien	0.10009
))
(Brahmin (desc 1586.36) (sims
colorblind	0.0707593
"Orthodox Jewish"	0.0698225
"blue blood"	0.0667734
"word meaning"	0.0611253
Hasidic	0.0579837
preservationist	0.0579803
second-grade	0.0575027
brawler	0.0564097
sixth-grade	0.056219
"upper class"	0.0557806
WASP	0.0553497
non-Muslim	0.0546136
Maasai	0.054341
third-grade	0.0539165
Kosovar	0.0533058
nerdy	0.0501717
parsing	0.0497976
Javanese	0.0496531
"upper crust"	0.0496485
Irish-American	0.0492594
Japanese-American	0.0489065
smallholder	0.048797
"window box"	0.0484355
"Red Crescent"	0.0474633
non-Indian	0.0470579
Sunni	0.0469859
Polynesian	0.0467289
"stage director"	0.0465432
eighth-grade	0.0457391
"African American"	0.0456096
"Masterpiece Theater"	0.0456003
warhorse	0.0452798
shipmate	0.0447081
"Ivy League"	0.044082
preppy	0.0437015
Mayflower	0.0436489
"Left Bank"	0.0435726
"Kosovar Albanian"	0.0435667
Quaker	0.0433385
Amish	0.0432655
"Irish Catholic"	0.043232
Anglo	0.04271
Coptic	0.0425176
K-@@	0.0419301
Muslim-Croat	0.0406026
FEDERALIST	0.0404432
))
(Brahms (desc 5310.44) (sims
Schumann	0.395872
Schubert	0.332706
Liszt	0.294612
Debussy	0.289079
Mendelssohn	0.288276
Beethoven	0.284477
Bartok	0.284008
Chopin	0.283712
Mahler	0.27739
Mozart	0.275905
Tchaikovsky	0.269981
Rachmaninoff	0.267359
Prokofiev	0.254453
Shostakovich	0.251251
Ravel	0.232812
Haydn	0.210052
Bach	0.197437
Strauss	0.195829
Verdi	0.189919
Stravinsky	0.187256
Webern	0.177375
Berlioz	0.171287
Schoenberg	0.167907
Bruckner	0.165649
DVORAK	0.161813
Vivaldi	0.152794
Puccini	0.143085
Gluck	0.142003
"Richard Strauss"	0.139602
Ives	0.121722
Rossini	0.11267
Handel	0.11211
Wagner	0.110147
Messiaen	0.0839247
Bellini	0.0768545
Copland	0.0763452
Gershwin	0.0760628
"Philip Glass"	0.0647607
sonata	0.0633267
"Symphony No. @"	0.0609223
Boulez	0.0607527
"John Coltrane"	0.0600852
symphony	0.0588631
Britten	0.0587517
"Fifth Symphony"	0.0584398
cappella	0.0578928
Elgar	0.0557304
Borodin	0.0550895
"Charlie Parker"	0.0531753
Schiller	0.052292
Weber	0.0520951
Monteverdi	0.0518502
cello	0.0502663
Ellington	0.0488696
"Louis Armstrong"	0.0468095
"John Cage"	0.046575
concerto	0.0463198
"Martha Graham"	0.0459147
"chamber music"	0.0454914
"string quartet"	0.0453955
Joplin	0.0452564
Requiem	0.0452123
Goethe	0.0446555
"Beach Boys"	0.0444211
"Janis Joplin"	0.0435762
Beatles	0.0424045
Turandot	0.0415281
oratorio	0.0414259
Barber	0.0409661
Berg	0.0404419
clarinet	0.0404297
))
(braid (desc 4968.48) (sims
ponytail	0.166307
"nose ring"	0.163167
pigtail	0.156284
dreadlocks	0.150191
sideburn	0.129471
goatee	0.124653
moustache	0.119273
tress	0.118929
earring	0.10902
curl	0.107801
mustache	0.105769
mane	0.104695
Beard	0.103141
Afro	0.0993444
wig	0.098217
hairdo	0.0963684
dimple	0.096218
hair	0.0920343
"cowboy hat"	0.0899162
stubble	0.0891781
fingernail	0.0847986
"cowboy boot"	0.0814308
tunic	0.0810011
"tennis shoe"	0.0806922
bandanna	0.0797504
tights	0.0797406
"dark glasses"	0.0790108
bellbottoms	0.07818
tattoo	0.0751786
"evening dress"	0.0743739
brassiere	0.0735477
"leather jacket"	0.0734123
undershirt	0.073333
"evening gown"	0.0722221
windbreaker	0.0721941
freckle	0.0718102
"business suit"	0.0715553
beret	0.0715079
eyebrow	0.0714615
"evening bag"	0.0713224
turtleneck	0.0712032
"bow tie"	0.070998
grin	0.0708682
mop	0.0707642
tassel	0.0704108
trouser	0.0702497
eyeliner	0.0701198
sneaker	0.0699401
complexion	0.0692913
"pants suit"	0.0691638
prosthesis	0.0689529
cardigan	0.068298
legging	0.0682512
pullover	0.0676738
bodice	0.0676266
kilt	0.0675471
"mink coat"	0.0673239
"baseball cap"	0.0670642
skirt	0.0668959
curler	0.0668338
bead	0.0664852
sunglasses	0.0664073
"polo shirt"	0.0659719
panty	0.0656451
jean	0.0654688
fedora	0.0649858
sweater	0.0649034
sweatshirt	0.0648202
hat	0.0647012
miniskirt	0.0645908
PIERCINGS	0.064521
"neck brace"	0.0645107
haircut	0.0638874
overcoat	0.0636603
necklace	0.0635797
molar	0.0635225
blouse	0.0633694
pantsuit	0.0633114
tail	0.0632024
headband	0.0629245
bracelet	0.06209
hairstyle	0.061961
"fur coat"	0.0616759
corset	0.0614259
underpants	0.0613168
"bowler hat"	0.0611659
"ski mask"	0.0608597
"crew cut"	0.0606667
"good looks"	0.060527
"stiletto heel"	0.0600508
parka	0.0597443
skullcap	0.0597169
sandal	0.0594642
"natural state"	0.0594004
pompadour	0.0592514
smock	0.0592436
"top hat"	0.0588381
swimsuit	0.0588365
scarf	0.0587389
eyelash	0.0585068
brogue	0.0583528
cheekbone	0.0581774
bikini	0.0581012
tweed	0.0575034
"guardian angel"	0.0573844
robe	0.0572762
halter	0.0572726
"boxing glove"	0.0572312
sock	0.0571119
kimono	0.0569968
choirboy	0.056983
underwear	0.0567462
lingerie	0.0565829
pant	0.0565633
bathrobe	0.0564549
eyeglass	0.0561441
bun	0.0554329
"black eye"	0.0552981
pajama	0.0551173
"sport shirt"	0.0549277
"straw hat"	0.0547738
waistcoat	0.0545731
"belt buckle"	0.0544699
khaki	0.0543893
slack	0.0543004
clipboard	0.0542891
barrette	0.0541685
earpiece	0.0541162
whisker	0.0531764
snout	0.0530438
vest	0.0528478
gown	0.0528352
teeth	0.052779
"felt hat"	0.0524499
turban	0.052295
wisp	0.0516635
yarmulke	0.0516026
BMI	0.0512112
chiffon	0.0511949
"combat boot"	0.0510166
coverall	0.0508405
loafer	0.0507798
fur	0.0507135
sleeve	0.0506186
nightgown	0.0501818
porthole	0.0501671
sarong	0.0499234
"piece of cloth"	0.0497738
icicle	0.0497448
"sweat pants"	0.0495842
"bathing suit"	0.0491397
"false teeth"	0.0491209
lipstick	0.049023
bedspread	0.0488002
trousers	0.0487818
corduroy	0.0487388
tongue	0.0485649
veil	0.0484944
shamrock	0.0481418
earphone	0.0478059
bustier	0.047775
spandex	0.0477457
undergarment	0.0476565
sheath	0.0475333
chalice	0.0475063
"sense of humor"	0.0474974
"cocktail dress"	0.0474526
Thong	0.0471694
ruffle	0.0470961
poodle	0.0470562
feather	0.0470227
hairline	0.0469415
filament	0.0468048
jumpsuit	0.0467863
capris	0.0467758
"street clothes"	0.0467618
"roller skate"	0.0466779
shorts	0.0466655
alcove	0.046578
shawl	0.0465204
blinder	0.0464691
Poncho	0.0461351
"trench coat"	0.0459508
"hearing aid"	0.0458936
knickers	0.0458542
tuxedo	0.045792
clitoris	0.0457659
bra	0.0457466
sequin	0.0454634
"dress shirt"	0.045171
nostril	0.0450878
Matchbox	0.0450092
discoloration	0.0449755
"rain cloud"	0.044894
plaid	0.044891
"two heads"	0.0447522
"beach towel"	0.0446342
cherub	0.0446157
Sash	0.0446075
cleavage	0.0445613
))
(Braille (desc 3523.77) (sims
HTML	0.121848
"German language"	0.109319
"English language"	0.0980668
Hebrew	0.0946221
Aramaic	0.0904519
Arabic	0.086586
"Cliffs Notes"	0.0812827
longhand	0.0801187
"limited edition"	0.0790376
Midi	0.0762699
HARDCOVER	0.0749907
Yiddish	0.0743756
"New Testament"	0.0740083
folio	0.0729284
Tibetan	0.0700062
"computer language"	0.0694602
"spare time"	0.0657602
"point system"	0.0657322
"small white"	0.0649982
"poring over"	0.0646696
alphabet	0.0634739
microfilm	0.0634523
"bar code"	0.0633812
"radio frequency"	0.0614885
telegraph	0.0614561
Maariv	0.0612568
Gaelic	0.0606712
"Sydney Morning Herald"	0.0604952
Kommersant	0.0579674
"Windows @.@"	0.0576105
Lancet	0.057522
pop-up	0.0571267
"wide screen"	0.0570572
McGraw-Hill	0.0567197
"Koha Ditore"	0.0561048
Latin	0.0551944
handheld	0.0542402
"Village Voice"	0.0541934
"Al Hayat"	0.0541716
"El Pais"	0.0540072
Thinkpad	0.0534387
"Straits Times"	0.0529873
"Yediot Ahronot"	0.0528742
"Eddie Bauer"	0.0528015
"public domain"	0.0527441
"New Republic"	0.0522975
"Modern Library"	0.0519546
Bild	0.0518508
Macintosh	0.0517762
newsgroup	0.0517484
"sports section"	0.051542
neon	0.0512246
afterword	0.050974
"tea leaf"	0.0509739
"TV guide"	0.0501199
"New Straits Times"	0.0500497
paperback	0.0500485
shareware	0.0500025
Granma	0.0497256
"Le Figaro"	0.0496692
"Windows CE"	0.0495155
gazette	0.0491415
onscreen	0.0488965
third-grade	0.0488115
Tools	0.0485902
"blue note"	0.0483635
synthesizer	0.0483129
Sanskrit	0.0482824
"Moscow Times"	0.0482538
GT	0.0481544
"two digits"	0.0480932
"New York Review"	0.04786
boilerplate	0.047839
"large white"	0.0477354
beta	0.0474441
VHS	0.0472019
typeface	0.0469314
hand-held	0.0468383
"more than one million"	0.046722
"sign language"	0.04649
"Daily Racing Form"	0.0459329
PCI	0.0457809
"solar power"	0.0457058
"artificial heart"	0.0456968
"Denver Post"	0.0454401
ADP	0.0451987
"Mac OS"	0.0451757
Encryption	0.0451738
"International Herald Tribune"	0.045133
nt	0.0447004
Solaris	0.0446501
aftermarket	0.0446119
audubon	0.0444444
XML	0.0444059
"hard copy"	0.0442426
Reforma	0.0442151
led	0.0439937
Steinbeck	0.043817
"Daily Telegraph"	0.0438077
"New York Times Book Review"	0.0437838
"electrical device"	0.0435065
Seuss	0.0434761
obit	0.0434718
"National Geographic"	0.0434287
"dust jacket"	0.0431284
Putonghua	0.0430299
broadsheet	0.0429938
second-grade	0.0425839
"morse code"	0.0425352
DOS	0.0425115
"Four million"	0.0424302
handwriting	0.0424029
pre-@@@@	0.042315
"close to @,@@@"	0.0420932
preface	0.0420745
Eros	0.042047
flyby	0.0420215
CE	0.0419547
obituary	0.041573
encyclical	0.0415571
gnome	0.0413858
Grisham	0.0413531
"other nine"	0.0413496
"Office @@@@"	0.041343
bare-bones	0.0413253
"instruction manual"	0.0412747
UPC	0.0412353
"Over two million"	0.0411436
"Public Affairs"	0.0410152
as-yet	0.0409782
shoestring	0.0409337
"first grade"	0.0408545
eighth-grade	0.0407704
"sixth grade"	0.0406875
Mandarin	0.0406315
Haaretz	0.040598
"Palm Pilot"	0.0405819
"phone book"	0.0405423
Dreamcast	0.040485
al-Hayat	0.0402837
"New England Journal"	0.0401809
"up to eight"	0.0400218
))
(brain (desc 98249.9) (sims
lung	0.192348
liver	0.159752
kidney	0.153047
tissue	0.144507
"spinal cord"	0.143288
"nervous system"	0.140289
heart	0.136409
"central nervous system"	0.134105
cell	0.124804
skin	0.122623
stomach	0.117312
"brain cell"	0.116889
body	0.115197
intestine	0.113867
retina	0.11031
pancreas	0.109377
muscle	0.109092
abdomen	0.108176
tumor	0.10723
nerve	0.107002
"human body"	0.103909
eye	0.100958
"blood vessel"	0.100918
mind	0.100636
prostate	0.100565
bladder	0.10049
bone	0.0995249
ovary	0.0975773
blood	0.0970793
"bone marrow"	0.0969993
breast	0.0961478
skull	0.0956105
organ	0.09494
uterus	0.0915661
ear	0.090243
bloodstream	0.0901032
artery	0.0865465
Gene	0.0857683
chest	0.0853788
neck	0.085283
spine	0.0834003
psyche	0.0817508
leg	0.0815344
mouth	0.0808461
"lymph node"	0.0804857
throat	0.0804662
DNA	0.0802837
Computer	0.0780688
teeth	0.0773113
colon	0.0771473
human	0.0771355
system	0.0764624
fetus	0.0763443
head	0.0753947
patient	0.075152
"nerve cell"	0.07468
cartilage	0.0744909
soul	0.074403
vein	0.0743869
"blood cell"	0.0727833
gland	0.0725554
limb	0.0723696
gut	0.072307
neuron	0.0718386
penis	0.0715298
nose	0.0714786
cornea	0.0712472
bowel	0.070846
knee	0.0699118
mice	0.0688913
animal	0.0686882
life	0.0684254
arm	0.0681647
ability	0.0672518
chip	0.0671647
shoulder	0.0663087
"cancer cell"	0.0661133
face	0.0659271
Embryo	0.0651849
consciousness	0.0650148
cancer	0.0649512
imagination	0.0648501
rib	0.0644789
memory	0.0644415
womb	0.0641143
thigh	0.0641121
hair	0.0631733
pelvis	0.0628372
intelligence	0.0626171
machine	0.0620215
personality	0.0616248
tongue	0.0610493
disease	0.0610075
hip	0.0608008
jaw	0.0607218
skill	0.0603362
joint	0.0602772
rat	0.060185
disorder	0.0601246
ego	0.0597107
torso	0.0596511
back	0.0586083
behavior	0.0583996
skeleton	0.0581477
hand	0.0581467
elbow	0.0579819
economy	0.0579332
membrane	0.0577903
engine	0.0576898
egg	0.0574662
world	0.0574086
pain	0.0572602
organism	0.0571569
urine	0.0570645
belly	0.0568797
cheek	0.0568028
baby	0.0565209
child	0.0565196
health	0.056268
environment	0.0562511
diabetes	0.0561174
"human being"	0.0560822
market	0.0560606
chromosome	0.0559678
virus	0.055923
voice	0.0559097
Universe	0.0558087
eyelid	0.0557757
device	0.0557169
thinking	0.0556409
software	0.0555113
finger	0.0555091
talent	0.0553733
instinct	0.0553649
wrist	0.0553597
image	0.0552379
plant	0.0547634
function	0.0546696
vision	0.054258
ankle	0.0541606
structure	0.053973
soil	0.053611
lip	0.0535843
culture	0.0535647
infection	0.0535413
"blood pressure"	0.0535091
wound	0.0534152
tail	0.0533349
protein	0.0533082
conscience	0.0530331
forehead	0.0528422
flesh	0.0525473
tendon	0.0524999
lining	0.0522353
infant	0.0520978
them	0.0520032
hormone	0.0518665
society	0.0516081
genome	0.0511321
object	0.0511188
character	0.0510179
pocket	0.0509696
"body part"	0.0509402
industry	0.0509337
sperm	0.0508688
planet	0.0507951
spirit	0.0507125
population	0.050573
Foot	0.050494
room	0.050138
intellect	0.0499358
space	0.0498325
dog	0.0498185
PC	0.0497634
molecule	0.0497585
toe	0.049756
thought	0.049528
type	0.0494464
kid	0.0494131
building	0.0493656
fat	0.0493066
habit	0.0492013
tract	0.049133
family	0.0489782
earth	0.0489715
eyesight	0.0488843
enzyme	0.0488349
energy	0.0487754
asthma	0.0487387
woman	0.0486513
Tooth	0.0486366
emotion	0.0485773
crop	0.048382
"heart disease"	0.0483762
syndrome	0.0483513
problem	0.0481826
sense	0.0481503
meat	0.0481449
car	0.0478587
material	0.0478155
))
("brain cell" (desc 7439.94) (sims
"nerve cell"	0.293491
neuron	0.21943
"muscle cell"	0.210612
"blood cell"	0.164728
cell	0.155721
tissue	0.153728
"cancer cell"	0.150814
"bone marrow"	0.144684
"white blood cell"	0.128251
"heart muscle"	0.124456
brain	0.116889
follicle	0.114988
"skin cell"	0.11419
nerve	0.11163
ovary	0.110739
cartilage	0.109304
"T cell"	0.108951
"nervous system"	0.106853
"blood vessel"	0.106781
"internal organ"	0.102537
kidney	0.102054
receptor	0.0994333
"embryonic cell"	0.0986844
liver	0.0984957
T-cells	0.0957647
organ	0.0955004
"red blood cell"	0.0940187
enzyme	0.0916865
pancreas	0.0892078
Embryo	0.089108
"spinal cord"	0.0890693
retina	0.0870618
"heart valve"	0.0868948
cornea	0.0859788
marrow	0.0848967
Gene	0.0846459
"central nervous system"	0.0834751
"vital organ"	0.0800367
tumor	0.079085
lung	0.0789343
protein	0.0751197
intestine	0.0742281
gland	0.0736692
muscle	0.0736445
antibody	0.0729589
sperm	0.0719084
neurotransmitter	0.0698675
"right whale"	0.0678417
skin	0.0667719
"chemical compound"	0.0664284
dopamine	0.0663904
organism	0.0662302
fetus	0.064358
cirrhosis	0.0632889
"connective tissue"	0.0624257
sinew	0.0622283
bloodstream	0.0617616
insulin	0.0615451
"body fluid"	0.0597709
artery	0.0594639
"lymph node"	0.0585013
coral	0.0584477
placenta	0.0581893
urine	0.0581249
"body part"	0.0575105
seedling	0.0566447
bladder	0.0562892
microorganism	0.0561649
"subatomic particle"	0.0558647
leptin	0.0558306
"public property"	0.0555716
"vocal cord"	0.055565
diabetic	0.0555196
"catalytic converter"	0.0551584
larvae	0.0551092
mitochondria	0.0545519
serotonin	0.054491
eyesight	0.053853
"skin cancer"	0.0538083
molecule	0.0535404
capillary	0.0535363
Endostatin	0.0532466
"coral reef"	0.0531365
plankton	0.0528674
houseplant	0.0520697
algae	0.0520506
enrollee	0.0519879
"hair follicle"	0.0517918
wetlands	0.0516754
"about @@@ million yuan"	0.0514195
vertebrate	0.0512372
hormone	0.0511582
peptide	0.0509687
"digestive system"	0.050932
ecosystem	0.0508062
bacteria	0.0505791
"monarch butterfly"	0.0505738
"Thomas Youk"	0.0502736
"loved one"	0.0502306
limb	0.0501732
"coca crop"	0.0498749
"AIDS virus"	0.0497269
feces	0.0496492
clone	0.0491927
antioxidant	0.0490767
"coronary artery"	0.048909
mice	0.0487632
fibroids	0.0487379
offspring	0.0486749
"computer file"	0.0485766
transistor	0.0485049
angiostatin	0.0483616
"electrical power"	0.0483531
fungus	0.0483392
estrogen	0.0481788
esophagus	0.0481202
telomerase	0.0478194
cortex	0.047621
metabolism	0.0475314
"blood pressure"	0.0474339
valve	0.0473794
polyp	0.0472272
salamander	0.0471707
tendon	0.0471628
germ	0.0469345
spleen	0.0469264
nuclei	0.046882
ligament	0.0467997
"brokerage account"	0.0465298
"medical record"	0.0464709
genomes	0.0461983
"about @@ billion yuan"	0.0461903
hemoglobin	0.0459119
mammal	0.045898
munition	0.0457804
maggot	0.0456905
centenarian	0.0454731
"leisure time"	0.0454594
"three million"	0.0454163
SMIs	0.0453332
offal	0.0453079
"data file"	0.0452812
"sense of balance"	0.0452238
"biological clock"	0.0450525
penis	0.0450384
melanoma	0.0449644
termite	0.0449394
jackscrew	0.0449151
Youk	0.0449005
islet	0.0448545
coolant	0.0448208
Ukrainians	0.0447448
pathogen	0.0446897
microbe	0.044568
minibuses	0.0445537
larynx	0.0444188
anemia	0.0443898
nutrient	0.0442619
Livestock	0.0440496
Tuber	0.0440492
DNA	0.0440102
spine	0.0438685
"brain tumor"	0.0437885
skydiver	0.0437411
"Y chromosome"	0.0435182
microchip	0.0434716
CJD	0.0434428
entrails	0.043417
eardrum	0.0434162
camcorder	0.0433943
porpoise	0.0433836
Vaccine	0.0433723
droppings	0.0432305
"shareholder value"	0.0431905
"social structure"	0.043092
collagen	0.0430887
sapling	0.0430583
"young person"	0.0429487
cadaver	0.0428732
mutation	0.0427051
serviceman	0.0425864
pup	0.0425351
Tooth	0.0425332
fungi	0.0425331
inhibition	0.042516
parasite	0.0422323
motorcyclist	0.0421463
Biko	0.0420983
spore	0.0419378
inhaler	0.0417998
cardholders	0.0417692
"sea turtle"	0.0417183
transfusion	0.0416676
"Cuban Americans"	0.0416654
antibiotic	0.0416412
leukemia	0.0416406
newborns	0.0415967
airmen	0.0415961
membrane	0.0415946
"About @@,@@@ hectares"	0.0415042
))
("brain drain" (desc 3608.24) (sims
outflow	0.111148
exodus	0.110826
Emigration	0.107024
depletion	0.106258
deflation	0.100699
"crime wave"	0.100135
erosion	0.0989848
migration	0.0959327
contagion	0.0931174
"cash crunch"	0.0927971
"price pressure"	0.0913833
deforestation	0.0908522
"dog bite"	0.0906544
deterioration	0.0905822
degradation	0.0894274
bleeding	0.0890166
shortage	0.0888093
crunch	0.0869381
leakage	0.0867986
"asthma attack"	0.086091
scarcity	0.0857329
retrenchment	0.0847389
"juvenile delinquency"	0.0840025
instability	0.0835808
famine	0.0826304
oversupply	0.0821977
overpopulation	0.0821649
"arms race"	0.0811231
"soil erosion"	0.0806409
"financial loss"	0.0805755
spillage	0.0786841
"water pollution"	0.0780709
marginalization	0.0779645
downturn	0.0776968
starvation	0.0762397
"foul play"	0.075899
devaluation	0.0757833
meltdown	0.0752098
"urban sprawl"	0.0750429
"crop failure"	0.0745504
pandemic	0.0744105
shortfall	0.0741152
influx	0.0740509
worsening	0.0737096
poaching	0.0734988
Burnout	0.0734718
whiplash	0.0733427
"rising prices"	0.0730009
"moral hazard"	0.072853
dumping	0.0723684
depreciation	0.0718076
immigration	0.0715631
dislocation	0.0712182
desertification	0.071174
side-effects	0.0711112
overproduction	0.070936
Proliferation	0.0704567
"power failure"	0.0702763
slowdown	0.0702154
seepage	0.0700956
malnutrition	0.0698459
escalation	0.0692067
defection	0.0691486
dilution	0.0691328
subsidence	0.0687504
"liquidity problem"	0.068562
congestion	0.0684246
malfunction	0.0682619
downturns	0.0682248
deportation	0.0681942
overcapacity	0.0680909
homelessness	0.0680391
indebtedness	0.0680177
recurrence	0.0678543
catastrophe	0.0678476
hemorrhage	0.0677974
sprawl	0.0676079
imbalance	0.0672323
overheating	0.0671956
outage	0.0670237
cataclysm	0.0669578
layoff	0.0669566
wastage	0.0667495
piracy	0.0667245
spreading	0.0665921
fallout	0.0663223
"drug abuse"	0.0662574
disruption	0.065886
shrinkage	0.0657587
"engine failure"	0.0657081
toxicity	0.0656994
contamination	0.0655964
epidemic	0.0655872
"health problem"	0.0654637
laundering	0.065431
reflux	0.0651795
insolvency	0.064991
foul-up	0.0649614
"air pollution"	0.0648531
glut	0.0648103
bottleneck	0.0647165
misuse	0.0644694
warming	0.0643249
calamity	0.0642553
"safety problem"	0.0641752
"acid rain"	0.0640919
"debt problem"	0.0637912
hyperinflation	0.0637538
spiral	0.0636937
bloodbath	0.0635029
"drug traffic"	0.0632765
backlash	0.0630738
rollovers	0.0626386
impoverishment	0.0626378
shoplifter	0.0624708
urbanization	0.0624523
stagnation	0.0622281
"chain reaction"	0.0621888
militancy	0.0620305
overuse	0.0618452
myopia	0.0616586
Truancy	0.0616483
disintegration	0.0614618
inequality	0.0611621
cutback	0.0611381
sickout	0.0611167
downslide	0.0609939
displacement	0.0603798
unrest	0.0603245
"rising tide"	0.0603098
"tax evasion"	0.0602018
snafu	0.0601845
malpractice	0.0601727
losses	0.0601693
buildup	0.0600815
turbulence	0.0598594
infestation	0.0598495
breakage	0.0596036
slippage	0.0593963
resurgence	0.0593394
recession	0.0592034
blowout	0.0590774
contraction	0.0589383
insecurity	0.0587432
banditry	0.0586258
shutdown	0.0584661
"nervous breakdown"	0.0584446
"production problem"	0.0582482
smuggling	0.0581216
"price war"	0.0580035
repercussion	0.0579972
"bank failure"	0.0578111
mismanagement	0.0577853
condensation	0.0577142
"forest fire"	0.0573649
corrosion	0.0571879
harassment	0.0571825
desertion	0.0570855
bloodshed	0.0568151
constipation	0.0567344
"traffic jam"	0.0565958
accumulation	0.0565845
relapse	0.0564764
"economic crisis"	0.0564117
unionization	0.0561639
overexposure	0.0559784
delinquency	0.0559464
tampering	0.055881
scourge	0.0557688
polarization	0.0557012
victimization	0.0556682
shakeout	0.0553831
"margin call"	0.055351
outbreak	0.0553173
nosebleed	0.0552335
default	0.0550762
poisoning	0.0550632
"memory loss"	0.0549833
eventuality	0.0548909
lawlessness	0.0547359
"volcanic eruption"	0.0546734
disenchantment	0.0546638
hunger	0.0546429
malignancy	0.0545088
manipulation	0.0544748
brownout	0.054245
degeneration	0.0540256
decay	0.0539801
"drug use"	0.0538844
Osteoporosis	0.0536801
inhalation	0.0536276
spillover	0.0535834
underdevelopment	0.0534818
regression	0.0533049
outages	0.0532232
mistreatment	0.0532014
assimilation	0.0531296
whammy	0.053038
carnage	0.0529466
"price increase"	0.0528607
))
("brain stem" (desc 1268.24) (sims
retina	0.120242
"digestive tract"	0.117079
"central nervous system"	0.102447
"spinal cord"	0.0982597
udder	0.0935024
pancreas	0.0907407
cortex	0.0880854
"nervous system"	0.087116
"air duct"	0.0857836
gallbladder	0.0796869
"rib cage"	0.0794971
"Y chromosome"	0.0775852
"bone marrow"	0.0762872
prostate	0.0762558
ACL	0.0742593
"large intestine"	0.0724777
"connective tissue"	0.0718414
ovary	0.0709138
colon	0.0706714
honeycomb	0.0676285
"lymph node"	0.0665562
"prostate gland"	0.0664337
"digestive system"	0.0660617
two-by-four	0.0659099
"moral force"	0.0652118
"heart muscle"	0.0646078
thyroid	0.06289
esophagus	0.0620656
"sleight of hand"	0.06203
larynx	0.0615134
sternum	0.0610826
P.J	0.0609487
prong	0.0604551
"Outer Banks"	0.0595778
transplanting	0.0594908
Bambi	0.0584961
spine	0.0574419
"facial expression"	0.0574264
bowel	0.0568943
"Florida Keys"	0.0567943
rinderpest	0.056328
believability	0.0559979
follicle	0.0558129
agglomeration	0.055592
joist	0.0551915
hamster	0.054677
myeloma	0.0545966
"vocal cord"	0.0542045
hippocampus	0.054185
marrow	0.0538147
"line drawing"	0.0535102
testicle	0.0533728
progenitor	0.0527341
"heart valve"	0.052434
lining	0.051315
"achilles tendon"	0.0512393
jackscrew	0.0511348
intestine	0.0511126
midriff	0.050568
Shu	0.050284
"inner ear"	0.0501498
dopamine	0.0491774
cervix	0.048068
duct	0.0478851
GIA	0.0477183
hemoglobin	0.0476895
femur	0.0476144
arabesque	0.0474417
lockdown	0.0471555
pelvis	0.0467991
"three pitchers"	0.046605
hernia	0.0465473
sickle	0.0463357
cartilage	0.0462189
gland	0.0459265
bladder	0.0457433
endoscope	0.0456159
idiosyncrasy	0.0455564
sobriquet	0.0454103
entrails	0.044981
baboon	0.044921
"Elizabeth Hurley"	0.0448676
"circulatory system"	0.0448403
scalp	0.04462
kneecap	0.0444964
snowpack	0.0444005
Chinese-Indonesians	0.0442785
cudgel	0.044082
melanoma	0.0439841
quadriceps	0.0438447
abdication	0.0436035
buttock	0.0433104
"sexual desire"	0.0432788
heavens	0.0431941
gestation	0.0430207
"About @@,@@@ hectares"	0.0427815
lobe	0.0426944
hyphen	0.0425675
lymphoma	0.0424948
ICS	0.0419207
adulterer	0.0418533
uterus	0.041718
triceps	0.0416762
augmentation	0.0414072
spleen	0.0413767
"upper deck"	0.0411614
spoken	0.0411128
molar	0.0410667
AA	0.0408765
"double boiler"	0.0408447
"umbilical cord"	0.0407482
berm	0.0406821
"point system"	0.0406019
"hockey stick"	0.040591
"U.N. Security Council Resolution @@@"	0.0402887
))
("brain tumor" (desc 7052.34) (sims
"lung cancer"	0.303103
leukemia	0.281842
"colon cancer"	0.277831
lymphoma	0.248221
"congestive heart failure"	0.217233
pneumonia	0.216299
"liver disease"	0.21487
"heart failure"	0.210599
melanoma	0.193665
"multiple sclerosis"	0.192207
"heart disease"	0.192002
"Parkinson's disease"	0.189685
cancer	0.189117
"heart condition"	0.182434
tumor	0.177694
emphysema	0.17417
"blood clot"	0.168143
"cardiovascular disease"	0.164318
"heart attack"	0.163487
diabetes	0.157641
asthma	0.157081
"skin cancer"	0.156171
als	0.152208
ailment	0.150145
Meningitis	0.146642
cataract	0.144601
hemophilia	0.143551
hemorrhage	0.14201
ulcer	0.138558
dementia	0.138523
tuberculosis	0.137479
"kidney disease"	0.136673
glaucoma	0.135067
overdose	0.133727
disorder	0.133325
"heat exhaustion"	0.131647
prostate	0.131563
hypertension	0.131314
"cystic fibrosis"	0.130801
aneurysm	0.130451
"rheumatoid arthritis"	0.130058
epilepsy	0.129564
dehydration	0.128729
"food poisoning"	0.128624
diarrhea	0.126914
illness	0.126665
hepatitis	0.125606
angina	0.124885
syndrome	0.124687
Parkinson's	0.124606
malaria	0.123957
disease	0.123586
Osteoporosis	0.122672
arrhythmia	0.121004
hernia	0.120285
lesion	0.120042
Alzheimer	0.119629
SIDS	0.119484
infection	0.119324
poisoning	0.119063
autism	0.118937
schizophrenia	0.118838
lupus	0.1185
CJD	0.11816
"muscular dystrophy"	0.117584
hypothermia	0.116355
encephalitis	0.116231
cyst	0.109924
"cerebral palsy"	0.109615
"Lyme disease"	0.109286
"dengue fever"	0.108554
bronchitis	0.108065
"high blood pressure"	0.107592
"respiratory disease"	0.107588
polyp	0.107579
stroke	0.107441
arthritis	0.106333
complication	0.104269
gastroenteritis	0.103959
"genetic disease"	0.10393
diarrhoea	0.103459
osteoarthritis	0.102359
ADHD	0.100614
myeloma	0.100576
migraine	0.0998993
"mental illness"	0.0996519
anemia	0.0988392
"mental disorder"	0.098686
inhalation	0.0984585
fracture	0.0984244
"back pain"	0.0981328
lung	0.0978307
trauma	0.097063
cholera	0.0967642
Tb	0.096539
suffocation	0.095299
fever	0.0950916
measles	0.094914
kidney	0.0941937
gallstone	0.0941613
"eye disease"	0.0939526
influenza	0.0928156
flu	0.0926854
"neurological disorder"	0.0925492
Depression	0.09206
defect	0.0919825
cirrhosis	0.090788
malnutrition	0.0898133
aids	0.0884512
sickness	0.0881862
narcolepsy	0.0881252
blindness	0.0875757
"drug addiction"	0.0874185
infertility	0.0872294
"chest pain"	0.086539
"manic depression"	0.085993
starvation	0.0856225
allergy	0.0855158
heartbeat	0.0851909
Alcoholism	0.0843639
"personality disorder"	0.0841902
nearsightedness	0.0840117
insomnia	0.0838116
"hepatitis B"	0.0834664
abnormality	0.0830843
paralysis	0.0809617
virus	0.0803355
"kidney stone"	0.0802233
impotence	0.0800251
blockage	0.0794309
polio	0.0791794
"health problem"	0.0789494
HIV	0.0789253
Exhaustion	0.0787893
"lead poisoning"	0.0785302
"infectious disease"	0.0782605
spleen	0.0777099
testicle	0.0776536
symptom	0.0770111
mastectomy	0.0759117
ovary	0.075715
breast	0.0755161
colon	0.0753758
Obesity	0.074894
"prostate gland"	0.0748505
"skin disease"	0.0735801
liver	0.072934
malignancy	0.0727295
"malignant tumor"	0.0718364
Dengue	0.0715728
"neurological disease"	0.0714177
transplant	0.0702947
"sexually transmitted disease"	0.0701704
"breast implant"	0.0698321
retardation	0.0696954
deafness	0.0696025
gallbladder	0.0695698
bladder	0.0695334
carcinoma	0.0693797
fibrillation	0.0688532
Rabies	0.0683374
disability	0.0682369
"side effect"	0.0682039
"lymph node"	0.0681391
Hantavirus	0.0679486
dysfunction	0.0678298
sclerosis	0.0672885
"AIDS virus"	0.0672864
atherosclerosis	0.0670707
inflammation	0.0666512
deformity	0.0664653
relapse	0.0660407
"typhoid fever"	0.0659511
impairment	0.0659426
incontinence	0.065866
nausea	0.0656812
"tooth decay"	0.0655737
leprosy	0.0653345
syphilis	0.0649412
fatigue	0.0645176
Addiction	0.0643013
heartburn	0.0633311
mole	0.0632724
typhoid	0.0632441
liposuction	0.0631945
"bipolar disorder"	0.062797
Dysentery	0.0626826
famine	0.0622749
thyroid	0.0619497
miscarriage	0.0618173
hunger	0.061803
angioplasty	0.0617886
apnea	0.0616982
"asthma attack"	0.0616287
sedation	0.061306
frostbite	0.0605577
C	0.0602501
coli	0.0599418
acne	0.0598584
BSE	0.0595906
))
("brain wave" (desc 1263.65) (sims
respiration	0.107343
"heart rate"	0.099798
"blood sugar"	0.0919731
electrocardiogram	0.0842686
clicker	0.0820445
"biological clock"	0.0795575
heartbeat	0.0776176
"sense of smell"	0.0751461
"blood pressure"	0.0734124
digestion	0.0688597
PSA	0.0678928
"business processe"	0.066076
glucose	0.0655183
breathing	0.0650349
pre-Olympic	0.0634689
urine	0.0632496
"Y chromosome"	0.062587
"speech pattern"	0.0618296
"leisure time"	0.0617717
COMINGS	0.0590762
accoutrement	0.058696
fallibility	0.0582728
"digestive system"	0.0579877
"sound wave"	0.0576695
diaphragm	0.0574615
self-worth	0.0565185
metabolism	0.05491
homocysteine	0.0548537
radioactivity	0.054593
capsaicin	0.0545546
keystrokes	0.0542976
spillage	0.0526655
"facial expression"	0.0526205
"body temperature"	0.0520756
"blood cell"	0.051989
aftershock	0.0517872
airflow	0.0512432
vibration	0.0511306
"circadian rhythm"	0.0498412
"chest pain"	0.0495626
"sex appeal"	0.04934
marksmanship	0.0493002
malformation	0.0486606
sensitization	0.0484657
"price change"	0.0484471
proficiency	0.0483083
"bowling ball"	0.0481709
"atmospheric condition"	0.0481388
"social activity"	0.0478659
"almost one-third"	0.0478297
"animal disease"	0.0477878
"air pressure"	0.0477593
"embryonic cell"	0.0476719
"sign language"	0.0476612
nodule	0.0476089
"white blood cell"	0.047425
"chemical compound"	0.0473938
Phentermine	0.0473912
"radio frequency"	0.0468772
"temperature change"	0.0468619
manhood	0.0467478
antibody	0.0466761
Airstream	0.0465294
"body weight"	0.0461471
"umbilical cord"	0.0460852
"blood type"	0.0459116
API	0.0457427
URLs	0.0456341
eyelid	0.0456054
"alarm system"	0.0454741
genital	0.0450909
antigen	0.0447589
apnea	0.0445445
"money supply"	0.0444376
altimeter	0.044248
Os	0.0441347
chromosome	0.0441321
flamethrower	0.0439555
"body language"	0.043924
"six degrees"	0.0434925
peptide	0.0433919
maturation	0.0433424
Primedia	0.043189
placenta	0.0430839
deformation	0.0430075
"life cycle"	0.0430058
eavesdropper	0.042985
"video recording"	0.042758
"electric current"	0.0424373
keystroke	0.0422586
lattes	0.0422283
"solar radiation"	0.0421972
"ocean current"	0.0421721
slippage	0.0421517
reflux	0.0419937
"reaction time"	0.0418762
hemoglobin	0.0418186
thermometer	0.0417235
"nuclear explosion"	0.0414124
"spare time"	0.0414043
identifier	0.0411168
"neurological disease"	0.0410478
Preval	0.0408073
"atom bomb"	0.0407962
"rubber band"	0.0407186
cannonball	0.0406371
"flow rate"	0.0405689
brightness	0.0404395
posterior	0.0403756
mettle	0.0403332
ephedra	0.040147
"emotional state"	0.0400785
deceleration	0.0400514
"nerve cell"	0.0400221
))
(brainchild (desc 9140.04) (sims
"given name"	0.0712204
outgrowth	0.0600427
handiwork	0.056164
"pipe dream"	0.0488811
nonstarter	0.048076
urging	0.0476774
well-received	0.0473117
culmination	0.0464007
largest	0.0424035
))
(brainpower (desc 2941.48) (sims
willpower	0.0730645
brawn	0.0710845
acumen	0.0699202
intellect	0.06647
know-how	0.0623475
intuition	0.0618568
quickness	0.0613018
athleticism	0.0612106
stamina	0.0608043
explosiveness	0.0591783
"natural ability"	0.0587177
competence	0.0576296
fallibility	0.0570608
wattage	0.0550827
wherewithal	0.054048
"admission price"	0.0532888
professionalism	0.0527558
ingenuity	0.0526603
Creativity	0.0523019
endurance	0.0519833
firepower	0.0516926
reagent	0.0514204
"raw data"	0.0508695
potentiality	0.0507045
"reaction time"	0.0502368
foresight	0.0497189
"support system"	0.0495767
agility	0.0495584
heft	0.049526
guesswork	0.0494561
knowhow	0.0487065
tenacity	0.048348
"animal product"	0.0482141
reflex	0.0479327
gumption	0.0476634
"personal appeal"	0.0473462
"good will"	0.0471665
self-control	0.0469765
"scientific knowledge"	0.0466551
cohesiveness	0.0465511
versatility	0.0465421
charisma	0.0461657
Manpower	0.0460099
aptitude	0.045863
mobility	0.0453583
enrolment	0.0450877
microprocessor	0.0450596
fortitude	0.04504
genomes	0.0445004
"nearly one-fourth"	0.0444276
"joie de vivre"	0.0442237
"common sense"	0.0441368
inventiveness	0.0441201
wellspring	0.0438639
proficiency	0.0432943
"economies of scale"	0.0426978
sophistication	0.0424388
intangible	0.0422433
telomeres	0.0421963
"scientific method"	0.042052
twenty-six	0.0420212
companionship	0.0418289
originality	0.0418255
"flour mill"	0.0417621
horsepower	0.0414936
reasoning	0.0414265
deftness	0.0413214
literacy	0.0410782
artistry	0.0409876
"one million US dollars"	0.0409329
"labor pool"	0.0408077
"social status"	0.04058
gizmo	0.0405225
enormity	0.0404732
"computer hardware"	0.0403371
portability	0.0403023
inferiority	0.0402101
"insurance premium"	0.0400859
"drawing power"	0.0400564
prowess	0.0400275
))
(brainstorm (desc 1819.31) (sims
band-aid	0.0617886
"change of mind"	0.0591353
"magic bullet"	0.0578151
Panchen	0.0507084
fracas	0.0506854
rowdiness	0.050214
birdbath	0.0491375
dustup	0.0481148
"face saving"	0.0471757
stopgap	0.0463982
electrolyte	0.0460259
"Lee Atwater"	0.0452994
"cash crunch"	0.0452115
"moral hazard"	0.0439901
"hydrogen peroxide"	0.0438851
flareup	0.0433136
fallback	0.0429625
"Gianni Versace"	0.0426535
"jam session"	0.0416422
"Betsey Johnson"	0.0413717
convulsion	0.041209
manicure	0.040391
))
(Braintree (desc 1333.24) (sims
Holyoke	0.226773
Needham	0.223937
"East Orange"	0.222385
Brockton	0.208064
Waltham	0.199944
Falmouth	0.189294
Chatham	0.1867
Acton	0.174888
Charlestown	0.16692
"Newport Beach"	0.164432
Hopkinton	0.162154
Wellesley	0.159839
Framingham	0.159791
Winchester	0.159421
Woburn	0.156547
Medford	0.156452
Somerville	0.155165
Bridgewater	0.154198
Bensonhurst	0.150482
Westfield	0.149044
Encino	0.145386
Groton	0.1425
"South San Francisco"	0.139304
Marlborough	0.137791
Morristown	0.136274
Pittsfield	0.134035
"Walnut Creek"	0.133629
Brookline	0.133149
Walpole	0.132668
Lenox	0.132128
"Woodland Hills"	0.131564
Missoula	0.130608
"Delray Beach"	0.127877
"Fort Lee"	0.127862
"Fall River"	0.126623
Hyannis	0.126466
Alpharetta	0.126121
Provincetown	0.125917
"Sandy Springs"	0.124721
"Palm Beach Gardens"	0.124455
"Van Nuys"	0.124138
"Westlake Village"	0.123833
"Round Rock"	0.12377
Brentwood	0.123134
Gloucester	0.12271
Watertown	0.121992
Andover	0.121515
Winthrop	0.121076
Northampton	0.120898
"White Plains"	0.120656
Poughkeepsie	0.120237
Montclair	0.120171
"Thousand Oaks"	0.120086
"Great Neck"	0.119779
Farmington	0.118883
Westport	0.118701
Norcross	0.118667
Sunnyvale	0.118502
ATTLEBORO	0.118463
Maynard	0.118223
"East Los Angeles"	0.117752
bethel	0.115951
"Mill Valley"	0.115182
Williamstown	0.114753
Stamford	0.113923
Emeryville	0.113425
"New Bedford"	0.11278
Dorchester	0.112741
Burlington	0.112556
"Garden City"	0.112501
Stockbridge	0.11221
Burlingame	0.111935
Easton	0.111668
Quincy	0.111586
Calabasas	0.11102
Deerfield	0.110555
Alameda	0.110441
BRIGHTON	0.110176
"Rocky Mount"	0.109827
Norwalk	0.108438
Danbury	0.107918
"Highland Park"	0.107797
Elmira	0.107617
"West Orange"	0.107605
"Virginia Beach"	0.107105
Cupertino	0.107099
"Culver City"	0.106683
LAKEWOOD	0.106302
Fremont	0.105959
Cambridge	0.105726
Amherst	0.105045
Englewood	0.104752
"Port Arthur"	0.10468
Malden	0.103375
Tarrytown	0.10304
"Huntington Beach"	0.101848
Winston-Salem	0.101672
Middleton	0.10117
Norwood	0.101047
Naperville	0.10084
Hillsboro	0.100485
"New Canaan"	0.0990907
"San Rafael"	0.0986628
"North Hollywood"	0.0982523
Covington	0.0980359
"Midtown Manhattan"	0.097911
Mansfield	0.0973528
"Paradise Valley"	0.0972174
Plano	0.0971662
Youngstown	0.0970765
Plymouth	0.0965026
Lafayette	0.0963773
Wilmington	0.0961773
Renton	0.0961722
Ipswich	0.0956883
"Woods Hole"	0.0955046
"Crystal City"	0.0951864
Newton	0.0944724
Reston	0.0944709
"San Mateo"	0.0944136
Rockville	0.0942022
Randolph	0.0938185
"Mountain View"	0.0936853
"New Rochelle"	0.0935149
"Boca Raton"	0.0933223
Greenwich	0.0929525
"Simi Valley"	0.0929197
"Greenwich Village"	0.0925708
Lexington	0.0917534
"New Haven"	0.0916213
ASHEVILLE	0.0915275
"Sherman Oaks"	0.0915268
Danville	0.0912484
"El Segundo"	0.090793
"San Angelo"	0.0905065
Peabody	0.0893238
Racine	0.0892718
"Chapel Hill"	0.0892595
Fairfield	0.0892126
Lenexa	0.0891828
canton	0.0891694
Milton	0.0885126
Lynn	0.0872526
"Overland Park"	0.0871936
Tempe	0.0870886
Minneapolis	0.0868885
Dunwoody	0.0867205
"Menlo Park"	0.0866118
Decatur	0.0864629
Rockport	0.08632
Wichita	0.0860326
"Research Triangle Park"	0.0860057
"Forest Hills"	0.0857472
Clifton	0.0857051
Salem	0.0856197
Bridgeport	0.0853549
"Marin County"	0.0851272
"Pacific Palisades"	0.0850194
"Santa Monica"	0.0847996
Carlisle	0.0847453
Sausalito	0.0843148
Salisbury	0.0842657
Bloomington	0.0842546
Springfield	0.0841905
Pomona	0.0839771
Duluth	0.0839002
Marietta	0.0835821
Worcester	0.0835411
Weston	0.0829908
Carmel	0.0828761
Jamestown	0.0827648
"La Jolla"	0.0827085
"Jersey City"	0.0826461
"Hollywood Hills"	0.0825195
"Palo Alto"	0.0824961
Lowell	0.0822192
Hialeah	0.0820876
Americus	0.0815763
"Long Island City"	0.0815498
Fairfax	0.0813155
Ballymoney	0.0812393
Middletown	0.0812082
"West Palm Beach"	0.0810747
Matamoros	0.0808604
Spokane	0.0807951
Carthage	0.0801148
Riverdale	0.0799985
"Hell's Kitchen"	0.0798474
Beaumont	0.079536
"Boynton Beach"	0.079529
Scottsdale	0.0790917
Hattiesburg	0.0786069
Arlington	0.0786028
Reseda	0.0785301
"Baton Rouge"	0.0783925
"Silver Spring"	0.0783606
Fresno	0.0783105
Peekskill	0.0782777
"Ann Arbor"	0.078206
"Studio City"	0.0780361
))
(brake (desc 27627.4) (sims
"air bag"	0.165157
"cruise control"	0.142957
"power steering"	0.137867
wheel	0.135987
"steering wheel"	0.134175
"brake system"	0.133217
gearbox	0.130867
tire	0.128937
steering	0.128632
"automatic transmission"	0.128257
"outside mirror"	0.119855
"seat belt"	0.116298
engine	0.116045
"windshield wiper"	0.115603
air-conditioning	0.113921
defroster	0.103329
"suspension system"	0.102733
"landing gear"	0.102528
headlight	0.100201
axle	0.0966365
pedal	0.0937809
wiper	0.0912505
conditioning	0.0903081
motor	0.0893454
"bucket seat"	0.0890998
rudder	0.0882601
stereo	0.0875292
chassis	0.085142
sunroof	0.0842503
"gas pedal"	0.0824438
airbags	0.0813671
valve	0.0812691
automatic	0.0811494
"control system"	0.0801169
THROTTLE	0.0782706
bumper	0.076861
ABS	0.0765181
transmission	0.0761394
windshield	0.0759707
"stereo system"	0.0730163
sensor	0.0726424
propeller	0.0722604
"sound system"	0.0707777
spoiler	0.0699233
headrest	0.0698307
accelerator	0.0695412
heater	0.069459
transformer	0.0687375
battery	0.0684792
"alarm system"	0.0683
suspension	0.0682048
Tyre	0.0678222
washer	0.0677134
traction	0.067213
lock	0.0664511
mirror	0.0650816
"safety feature"	0.0650187
hydraulics	0.0640933
tether	0.0640896
gear	0.0636951
wheels	0.0631305
equipment	0.0630625
"fuel system"	0.0623553
"catalytic converter"	0.0623302
fender	0.0618143
"audio system"	0.0616153
seat	0.0613988
exhaust	0.0613243
undercarriage	0.0611155
dashboard	0.0599923
ignition	0.0599467
avionics	0.0594734
generator	0.0591451
"electrical system"	0.0588692
"shock absorber"	0.0584993
"horizontal stabilizer"	0.0584432
wiring	0.058355
recorder	0.0582765
sprinkler	0.0581476
lever	0.0580361
bearing	0.0575966
device	0.0568879
thruster	0.056785
jackscrew	0.0567246
V-@	0.0564394
changer	0.0561307
conditioner	0.0561131
"security system"	0.0559147
gyroscope	0.055607
"electric motor"	0.0554196
"CD player"	0.0550634
window	0.0545758
rotor	0.0543889
compressor	0.0541614
"front end"	0.054022
"diesel engine"	0.0536921
torque	0.052822
"sliding door"	0.0528102
"cooling system"	0.0527051
furnace	0.0526576
"circuit breaker"	0.0526213
disc	0.0524848
radar	0.052458
tank	0.0523772
Differential	0.0522565
parachute	0.0522417
"gas tank"	0.0521453
"license plate"	0.0519151
vehicle	0.0518418
component	0.0514995
machine	0.0512487
muffler	0.051134
damper	0.0508838
ventilation	0.050752
door	0.0506525
button	0.0505221
stabilizer	0.0503944
appliance	0.0503498
"jet engine"	0.0503148
roof	0.0502148
transponder	0.0499657
keyboard	0.0495593
instrumentation	0.0494316
radiator	0.0493676
"heating system"	0.0484641
lamp	0.0479626
navigation	0.0478538
coolant	0.0474988
aerodynamics	0.0474648
GPS	0.047211
pulley	0.0471819
filter	0.046934
lid	0.0468997
Lighting	0.0465769
modem	0.0464985
"booster rocket"	0.0464494
"ventilation system"	0.0460195
handlebar	0.0459642
detector	0.0457649
alarm	0.0455357
restraint	0.0454143
elevator	0.0451914
V@	0.0449976
telephone	0.0448615
grille	0.0448601
VCR	0.0448155
compartment	0.0447737
"rocket engine"	0.0447574
"gasoline engine"	0.0447492
thermostat	0.0446638
"color television"	0.0445887
Hood	0.0443558
maintenance	0.0443331
upholstery	0.0442879
occupant	0.0442845
turbine	0.0442642
heating	0.0441537
plumbing	0.0441078
software	0.0440437
belt	0.0437512
seating	0.0437278
interior	0.0435434
microchip	0.0431228
toilet	0.0428861
kit	0.0428323
handling	0.0427139
insulation	0.0426572
camera	0.0426022
burner	0.0425115
converter	0.0422544
cable	0.0422399
antenna	0.0422131
propulsion	0.0420489
bike	0.0419386
helmet	0.0418072
refrigerator	0.0417966
"sheet metal"	0.0417683
"rearview mirror"	0.0417204
reflector	0.0415821
fuselage	0.0415759
"rear window"	0.0413061
gas	0.041262
Siren	0.0412252
console	0.0411925
"rear end"	0.0411705
"water pump"	0.0409338
"circuit board"	0.0407423
transmitter	0.0406563
tool	0.0405781
adapter	0.0405198
refrigeration	0.0404753
autopilot	0.040396
mechanism	0.0403627
"traffic light"	0.0403321
"black box"	0.040259
disk	0.0402531
emission	0.0402465
automobile	0.0402384
"microwave oven"	0.0402111
hose	0.0400619
))
("brake system" (desc 1522.4) (sims
brake	0.133217
gearbox	0.106782
"electrical system"	0.0919999
"landing gear"	0.0892716
"power steering"	0.0885687
"control system"	0.0863196
fastener	0.0840599
avionics	0.0827827
"aircraft part"	0.0735726
"circuit board"	0.0729091
"fuel system"	0.0718083
"seat belt"	0.0717374
wiring	0.0684202
"rolling stock"	0.0680679
"air bag"	0.0667176
"test data"	0.0647153
"safety feature"	0.0630232
purifier	0.0628185
axle	0.0624001
thermostat	0.0622363
"heart valve"	0.060942
ABS	0.0592603
"exhaust system"	0.0580786
headrest	0.0577113
chassis	0.0568655
ICS	0.056831
diode	0.0567241
"steam turbine"	0.0567157
"shock absorber"	0.0555959
transformer	0.0555927
conditioner	0.0543797
"gas tank"	0.0540772
heater	0.0536699
motherboards	0.0536441
"heating system"	0.0533865
"cruise control"	0.0530109
turbine	0.052851
"windshield wiper"	0.0523883
steering	0.0514504
"automatic transmission"	0.0513642
"cooling system"	0.0511521
airbags	0.0510366
"fire escape"	0.0505239
"communications equipment"	0.0504985
altimeter	0.0503632
muffler	0.0499324
mitochondria	0.0496832
"alarm system"	0.0493818
"water heater"	0.0482043
gyroscope	0.0471679
"diesel engine"	0.0471205
"fire alarm"	0.0463316
"traffic light"	0.0462892
"electric motor"	0.0461531
machine-building	0.0459871
"machine tool"	0.0450545
"hydraulic system"	0.044927
"lighting fixture"	0.0442958
"About three quarters"	0.0442881
"speaker system"	0.0441356
"weapon system"	0.0435371
"home appliance"	0.0432231
air-conditioner	0.0432106
rudder	0.0431451
"electric car"	0.0431074
headlight	0.0428052
"X-ray machine"	0.0426087
"consumer durables"	0.0421638
"integrated circuit"	0.0420369
instrumentation	0.0418254
flange	0.0417571
"aircraft engine"	0.0417499
"global positioning system"	0.0416636
carburetor	0.0414156
"welfare worker"	0.0411248
"household appliance"	0.0410889
traction	0.0410374
defibrillator	0.0409004
"sewing machine"	0.040565
"hand tool"	0.0405522
"optical fiber"	0.0404252
"fuel cell"	0.0403268
))
(bramble (desc 1489.31) (sims
Westpac	0.0970083
"Commonwealth Bank"	0.0903221
ANZ	0.0797596
"News Corp"	0.0768582
"Commonwealth Bank of Australia"	0.0745404
"National Australia Bank"	0.0730393
"Rio Tinto"	0.0703634
"Fletcher Energy"	0.0656167
WMC	0.06115
BHP	0.0564528
Telstra	0.0554527
underbrush	0.0554078
"Philippine Stock Exchange Index"	0.0544781
"Nikkei Stock Average"	0.0532802
BRIER	0.0528654
cactus	0.0526575
rhododendron	0.0526175
"Carter Holt Harvey"	0.0517467
blueberry	0.0491813
CRA	0.0490194
dandelion	0.0489857
"Straits Times Index"	0.047985
"Star of David"	0.0462745
kingfisher	0.046093
"Tokyo Stock Price Index"	0.0447506
"CAC @@"	0.0441317
"Shanghai Composite Index"	0.0439169
sumac	0.0436761
AMP	0.0427655
snowflake	0.0425053
zinnia	0.0424935
"Weighted Price Index"	0.0423782
thicket	0.0417972
"JDS Uniphase"	0.0417963
undergrowth	0.040738
UAL	0.0403381
siltation	0.0401307
))
(bran (desc 2989.6) (sims
oat	0.165433
barley	0.139467
lentil	0.133727
legume	0.131178
sorghum	0.119826
oatmeal	0.118286
cornmeal	0.116118
"brown sugar"	0.114055
margarine	0.111909
starch	0.11165
"peanut oil"	0.109876
"macadamia nut"	0.109464
"baking soda"	0.107499
cereal	0.106714
"brown rice"	0.105714
"cooking oil"	0.105564
"wheat flour"	0.105146
flour	0.104473
raisin	0.100594
"evaporated milk"	0.0969924
tahini	0.096012
walnut	0.0955674
"chicken broth"	0.09395
"vegetable oil"	0.0936085
corn	0.0929606
millet	0.0924142
hazelnut	0.0899864
"cider vinegar"	0.0897386
"peanut butter"	0.0888844
matzoh	0.0887406
granola	0.0886664
"wine vinegar"	0.0879588
"beef broth"	0.0874446
"pine nut"	0.0871782
almond	0.0870992
coconut	0.0868904
rye	0.0861586
cashew	0.0856783
buttermilk	0.0854425
bread	0.0852353
currant	0.0850255
soya	0.0836193
soybean	0.0823319
"dried fruit"	0.0819118
"soybean oil"	0.0818778
nut	0.0813163
soy	0.0811778
"pineapple juice"	0.0807634
"cake mix"	0.079565
alfalfa	0.0794699
bean	0.0781025
cocoa	0.0778673
crumb	0.0772321
"sunflower seed"	0.0771812
"sesame seed"	0.0770518
"cottage cheese"	0.0759585
pea	0.075942
"coconut milk"	0.0755995
"sour cream"	0.0755404
husk	0.0752592
shortening	0.0752213
"skim milk"	0.0749391
"soy sauce"	0.0745936
lard	0.0745155
canola	0.0743095
molasses	0.0741036
"pumpkin seed"	0.0732207
"whipping cream"	0.0731427
"hoisin sauce"	0.073074
potato	0.0728177
"chili powder"	0.0726763
"heavy cream"	0.0720505
cornstarch	0.071839
peanut	0.0710386
"white rice"	0.0708384
florets	0.0707784
"red pepper"	0.0694158
kernel	0.0691772
half-and-half	0.0690133
"fava bean"	0.0689421
"olive oil"	0.0688745
"baking powder"	0.0687184
oilseed	0.0681175
cinnamon	0.0679476
"beef stock"	0.0676752
cabbage	0.0675687
panko	0.0674717
honey	0.0674392
maize	0.0669773
parsley	0.0669229
pecan	0.0668406
"chicken stock"	0.0665582
tofu	0.0661364
yeast	0.0660065
"sugar beet"	0.0649232
"lima bean"	0.0646395
applesauce	0.0646391
carrot	0.0646347
cassava	0.0646117
croissant	0.0643271
"maple syrup"	0.0638645
onion	0.0637895
"powdered milk"	0.0637529
cider	0.0635959
sunflower	0.0634914
"lemon juice"	0.0632059
croutons	0.0632054
"futures price"	0.0631916
celery	0.0630861
ketchup	0.0626484
biscuit	0.062618
"lime juice"	0.0622934
"cumin seed"	0.0619606
"potato salad"	0.0615425
broth	0.0613742
apricot	0.0613281
fig	0.0609949
flavoring	0.0609377
cilantro	0.0607218
"soya bean"	0.0602662
vinegar	0.0601412
"Pepperidge Farm"	0.0599703
"tomato juice"	0.0599032
"orange juice"	0.0598159
"coriander seed"	0.0596963
"Grand Marnier"	0.0593228
"Worcestershire sauce"	0.0588076
tortilla	0.0588066
buckwheat	0.0586208
cauliflower	0.0581158
"Chinese cabbage"	0.0578553
yogurt	0.0577597
"salad dressing"	0.0576726
"dairy product"	0.0575457
"sugar cane"	0.0575402
Garlic	0.0573234
"folic acid"	0.0567228
Broccoli	0.0565062
Wheaties	0.0561789
"canned food"	0.0560451
ricotta	0.0558433
cracker	0.0556647
mayonnaise	0.0550877
sesame	0.0550708
"chili sauce"	0.0547951
pistachio	0.0545255
"hot pepper"	0.0545105
tapioca	0.0544875
"curry powder"	0.0543181
"bay leaf"	0.0542413
"orange marmalade"	0.0541456
"tomato sauce"	0.0534251
"corn syrup"	0.0531571
cheerio	0.0531546
sherry	0.0529252
"white wine"	0.0528878
turnip	0.0528188
"cream cheese"	0.0528052
"vitamin E"	0.0527761
horseradish	0.0526737
fraiche	0.0526338
"wild rice"	0.052624
Zocor	0.0524113
"poppy seed"	0.0521996
nutmeg	0.0521486
porridge	0.0520801
mustard	0.0519383
crunchy	0.0518667
"macaroni and cheese"	0.051758
"mustard seed"	0.051399
matzo	0.0513872
"sweet potato"	0.0510046
noodle	0.0509356
"green tea"	0.0509102
LIPITOR	0.0508654
"snow pea"	0.0507908
"French toast"	0.050778
pomegranate	0.0507713
oreo	0.0507088
"green onion"	0.0506932
"raw meat"	0.0503045
Chickpea	0.0500797
low-fat	0.0496903
"apple juice"	0.0494448
okra	0.0490461
spinach	0.0489516
"milk powder"	0.0488439
blueberry	0.048721
puree	0.0486813
tarragon	0.0484928
pancake	0.0482503
dill	0.048243
Calvados	0.0482293
oregano	0.0481971
"red wine"	0.0481916
olive	0.0481878
Parmesan	0.0479095
"green bean"	0.0478318
Tuber	0.0476586
"frozen yogurt"	0.0474341
))
(Branagh (desc 1509.76) (sims
"Julie Taymor"	0.125083
"Laurence Olivier"	0.112171
"Tim Burton"	0.108558
"Kenneth Branagh"	0.108119
Tucci	0.102993
Sheedy	0.0968369
Costner	0.0869508
Malkovich	0.0859098
Affleck	0.0853003
Olivier	0.0852948
BANDERAS	0.0847742
Grammer	0.0846202
"Steven Soderbergh"	0.0800487
"Jonathan Demme"	0.0752358
MAMET	0.0739845
"Terrence Malick"	0.0738162
Fiennes	0.0727045
Keaton	0.072244
Keitel	0.0717854
McGregor	0.0701607
Mohr	0.0698593
Benigni	0.0695319
Gielgud	0.0686936
"Paul Schrader"	0.0682386
Bening	0.0680324
"Akira Kurosawa"	0.0679983
Solondz	0.0664937
Dench	0.0645839
"Van Sant"	0.0641203
DiCaprio	0.063099
Soderbergh	0.0622547
Kidman	0.0622143
Zellweger	0.0613308
"Robert Redford"	0.0612191
"Kevin Costner"	0.0609702
Fleischer	0.0609583
Braugher	0.0608132
"Orson Welles"	0.0603929
Gooding	0.0598261
Shatner	0.0591264
"Andre Previn"	0.0590535
"Kevin Kline"	0.0586586
Cleese	0.0586111
Sayles	0.058541
"Jeff Goldblum"	0.058539
"Bill Murray"	0.058339
"Christian Slater"	0.0583368
"Edward Albee"	0.0582091
Farnsworth	0.0580852
Maguire	0.0578051
GERE	0.0570303
"Mickey Blue Eyes"	0.0570104
Spacey	0.0568733
Kurosawa	0.05684
Boulez	0.0563302
Carrey	0.0563128
"Harold Pinter"	0.0561672
Judd	0.0561509
Stiller	0.0559285
"Burt Reynolds"	0.0551096
"De Niro"	0.0548735
Ryder	0.0544131
Clooney	0.054254
"Evening Standard"	0.0539967
"Anthony Hopkins"	0.0536613
Boorman	0.0535994
Galindo	0.0532649
Marceau	0.0532468
Flanagan	0.0532185
"Kirsten Dunst"	0.0531048
Schroder	0.0530026
Logue	0.0529399
"Mike Nichols"	0.0527274
Shandling	0.0524766
Lugo	0.0524393
Epps	0.0524163
"David Hare"	0.0522329
"Rene Russo"	0.0521219
Turturro	0.0521071
Travolta	0.0520845
Eastwood	0.052078
"David Mamet"	0.0517648
Redford	0.0516449
Kubrick	0.0516378
Boyle	0.0515273
McKellen	0.051492
"Martin Scorsese"	0.051488
DeVito	0.0511984
"Wesley Snipes"	0.0511274
Matthau	0.0510297
Bogart	0.0503332
"Martin Lawrence"	0.0500076
"Keanu Reeves"	0.0499962
"Edward Norton"	0.0498677
"Spike Lee"	0.0498038
Vasile	0.0488969
"Jimmy Stewart"	0.0488437
Flockhart	0.0487508
"Jimmy Smits"	0.0484307
Reiner	0.0482129
Hartley	0.0481353
Hepburn	0.0481099
Hawke	0.0480715
"Tom Selleck"	0.0478226
Speer	0.0478123
Blanchett	0.0475256
Cusack	0.0473361
Kurth	0.0468762
Hoch	0.0468413
Harrelson	0.0468275
"Eddie Murphy"	0.0467782
LaBute	0.0465577
"Clint Eastwood"	0.0463244
Pfeiffer	0.0462219
"Neil LaBute"	0.046176
Mae	0.0461473
Stillman	0.0461431
"Anjelica Huston"	0.0460907
"Humphrey Bogart"	0.0454581
"Jessica Lange"	0.045395
REEVE	0.045317
"Antonio Banderas"	0.0452902
"Matt Damon"	0.0451892
"Dustin Hoffman"	0.0451451
Duchovny	0.0449702
Heyward	0.0447848
"Mel Gibson"	0.0447804
"George Clooney"	0.0447353
"Kate Winslet"	0.0446727
Crowe	0.0445631
Streep	0.0445386
Paltrow	0.0445209
Frankenheimer	0.0444729
Yoakam	0.0444473
Leigh	0.0441222
"Tim Robbins"	0.0440458
Pacino	0.0439861
Caray	0.0438079
"Ralph Fiennes"	0.0437718
"Scarlet Knights"	0.0437123
Falater	0.0436345
"Heather Graham"	0.0435867
Brosnan	0.0435315
Welles	0.0435082
Truffaut	0.0434102
"Alicia Silverstone"	0.0432544
"Chow Yun-Fat"	0.0432455
Downey	0.0431926
"Marlon Brando"	0.04318
"Sean Connery"	0.0430983
"Mark Loretta"	0.0430605
"Jodie Foster"	0.0430104
"Matthew Broderick"	0.0427955
"AL PACINO"	0.0426925
MALICK	0.0425694
Thurman	0.0425682
Redgrave	0.0422376
"Sidney Poitier"	0.042153
"Richard Dreyfuss"	0.0419575
Alexie	0.0419537
Schwarzenegger	0.0419251
Blazevic	0.0418255
"Val Kilmer"	0.041823
WHA	0.0417914
"Jim Harrick"	0.0417442
McDOWELL	0.0416033
"Ron Howard"	0.0415305
"Winona Ryder"	0.0414376
Dunston	0.041359
Popovich	0.041214
"Woody Allen"	0.0411415
"Francis Ford Coppola"	0.0411046
"Kevin Spacey"	0.0410866
"Richard Gere"	0.0410316
"Quentin Tarantino"	0.0410059
"Kevin Jordan"	0.0408552
Hartman	0.040796
"Kevin Bacon"	0.0407865
"Billy Bob Thornton"	0.0407399
Lafleur	0.0406396
Heche	0.0405792
"Frances McDormand"	0.0404823
Sandler	0.0404354
Winslet	0.0403222
"Jon Voight"	0.0403129
"Adam Sandler"	0.0401595
"Jason McDonald"	0.040135
Nolte	0.0401277
Broderick	0.0401059
Hasselbeck	0.0400911
"James Woods"	0.0400697
))
(branch (desc 122039) (sims
office	0.134167
department	0.127389
bank	0.126396
"Shanghai Branch"	0.116838
headquarter	0.114595
bureau	0.114067
"branch office"	0.112582
subsidiary	0.110277
agency	0.10983
institute	0.10706
institution	0.106461
unit	0.104737
enterprise	0.103426
center	0.0984424
"commercial bank"	0.0973769
firm	0.0969264
"financial institution"	0.095351
organization	0.0926835
company	0.0925247
university	0.0918875
hospital	0.091177
"travel agency"	0.0909967
store	0.0904875
ministry	0.0904857
division	0.0904443
factory	0.0899936
bureaus	0.0899382
committee	0.0890758
plant	0.0883771
"post office"	0.0877305
outlet	0.0876314
affiliate	0.0871486
station	0.0853063
operation	0.0843253
authority	0.0843183
shop	0.0835376
business	0.0835006
"joint venture"	0.0831529
"municipal government"	0.082994
"police department"	0.0826194
corporation	0.0825149
police	0.0820923
tree	0.0820532
association	0.0817196
"local government"	0.0815537
chapter	0.0814821
airport	0.0813305
group	0.0807882
municipality	0.0805673
atm	0.0803442
embassy	0.079954
network	0.0794012
"chamber of commerce"	0.0789272
hotel	0.0788476
consulate	0.0779516
school	0.0779393
Council	0.0774088
official	0.0773009
building	0.0760754
"research center"	0.0760225
"central bank"	0.0757445
government	0.075665
commission	0.0756355
restaurant	0.0755495
clinic	0.0752957
facility	0.0752421
museum	0.0750209
arm	0.0740883
employee	0.0737673
project	0.0732913
"stock exchange"	0.0728259
area	0.072643
cooperative	0.0721953
site	0.0721737
sector	0.0721525
city	0.0720071
"insurance company"	0.0719088
"polling station"	0.0716981
service	0.0714636
supermarket	0.0713062
board	0.0712109
section	0.0707459
laboratory	0.0706122
"task force"	0.0703093
church	0.0702901
court	0.0702896
member	0.0702307
"head office"	0.0700942
federation	0.0698413
brokerage	0.0698055
"department store"	0.069487
district	0.0690652
resident	0.0689571
base	0.0688963
"police station"	0.0688696
"publishing house"	0.0685793
entity	0.0683105
industry	0.0683062
library	0.0682781
body	0.0682588
leaf	0.0681222
system	0.0678653
customer	0.0675757
"TV station"	0.0674246
location	0.0673736
"financial organization"	0.0672013
representative	0.0666769
airline	0.0665829
"political party"	0.0663851
asset	0.066349
"school district"	0.0657905
"radio station"	0.0652982
"trade union"	0.0651756
house	0.0651656
executive	0.0651462
"Bank of China"	0.0650908
chain	0.0647142
bookstore	0.0645654
"gas station"	0.0643999
"brokerage firm"	0.0643655
park	0.0643653
officer	0.0642459
fair	0.0641267
lab	0.0640117
staff	0.0638497
fund	0.0637398
limb	0.0636809
"police force"	0.0634713
synagogue	0.0633951
foundation	0.0633568
College	0.0633129
party	0.0627068
"educational institution"	0.0625995
wing	0.0624481
venture	0.0623593
community	0.0622559
structure	0.0619537
state	0.0619459
"shipping company"	0.0619181
worker	0.0618574
Secretariat	0.0616646
"primary school"	0.0615748
newspaper	0.0615612
headquarters	0.0614722
management	0.0613812
Warehouse	0.0613344
market	0.0613328
people	0.0613272
home	0.0612547
"railway station"	0.0611678
dealer	0.0611562
Pharmacy	0.0610499
zoo	0.0609942
organ	0.060962
campus	0.0609212
personnel	0.0608465
program	0.0607431
county	0.0605873
"television station"	0.0604387
"state enterprise"	0.060431
club	0.0603952
"office building"	0.0602353
port	0.060134
province	0.0597756
"medical center"	0.0590156
region	0.0588395
"World Bank"	0.0587594
faction	0.0584233
gallery	0.0583585
union	0.0582827
academy	0.0582456
property	0.0582428
administration	0.058217
consortium	0.0581011
army	0.0580478
provider	0.0579881
establishment	0.0579251
prison	0.0578939
household	0.057876
"shopping center"	0.0578591
employer	0.0577217
terminal	0.0576018
shelter	0.057438
"diplomatic mission"	0.0573178
"armed forces"	0.0572854
panel	0.0572799
fleet	0.0572233
"service station"	0.0571753
legislature	0.0571321
delegation	0.0569807
"middle school"	0.0569661
centre	0.056949
conference	0.0568919
President	0.0568143
activity	0.0567786
village	0.0567781
post	0.0566865
chief	0.0566733
military	0.0566574
force	0.0565188
))
("Branch Davidian" (desc 2794.93) (sims
Davidian	0.407212
"Ruby Ridge"	0.232066
AUM	0.183204
"Mount Carmel"	0.177312
Iran-contra	0.153346
Waco	0.151989
"Aum Shinrikyo"	0.135181
Kanungu	0.118385
Clinton-Lewinsky	0.0986328
seven-week	0.0968897
Falun	0.0962757
nine-hour	0.0943312
"Aryan Nations"	0.0809191
doomsday	0.0784785
Kijevo	0.0780202
"Al Aqsa Mosque"	0.0755581
Hasidic	0.0748142
seven-month	0.0733336
seven-hour	0.0720486
heretic	0.071861
"Paula Corbin Jones"	0.0693212
six-hour	0.0675992
Drumcree	0.0656281
lastest	0.0642669
tailwind	0.0631895
two-month	0.0628563
"Rampart Division"	0.0620826
four-month	0.0619413
"fraternity house"	0.0617366
"Christian Democrat"	0.0617194
"Reggie Lewis"	0.06151
"Bob Jones"	0.060586
disbarment	0.0605469
five-month	0.0588939
whistleblower	0.0587558
"Paula Jones"	0.0585417
RICO	0.0584
Woburn	0.0576223
"Myanmar Embassy"	0.0566962
decadelong	0.056612
Norberg	0.0559723
"Tibetan Buddhist"	0.0551144
monthlong	0.0548752
"breast implant"	0.054289
SETTLES	0.0541359
"Oak Ridge"	0.0539296
libel	0.0538502
three-week	0.0535362
non-Jewish	0.0534189
high-stakes	0.0533867
decontamination	0.0530911
EEOC	0.0527075
Jonestown	0.0526136
DS	0.0522997
eight-hour	0.0513922
"Sunni Muslim"	0.0509575
"Black Panther"	0.0508798
Brawley	0.0507302
"savings and loan"	0.0505735
Attica	0.0503319
ILGO	0.0497924
five-hour	0.0496005
Jasenovac	0.0489346
"Columbine High School"	0.0485849
"Ethnic Albanian"	0.0485097
"Abner Louima"	0.0484225
"Hyannis Port"	0.0483531
UML	0.0482019
"Jehovah's Witness"	0.0480427
"New Democracy"	0.0478857
Scientology	0.0478672
Sunni	0.0474957
Curley	0.0471168
Gong	0.0470589
Portadown	0.0469213
Bataan	0.0464299
Alamo	0.0461377
Vukovar	0.0455967
paternity	0.0454968
RIAA	0.0452902
Valdez	0.0452062
eight-month	0.0451951
Lockerbie	0.0451767
takings	0.0445504
Davidians	0.0443822
six-day	0.0443144
four-hour	0.0442897
"breach of contract"	0.0441358
"flying saucer"	0.043896
FALN	0.0438555
Sleepwalking	0.0436729
three-month	0.0436465
"state government"	0.0435352
McGinnis	0.0434779
"Bosnian Muslim"	0.0434022
Unabomber	0.0432548
two-week	0.0427442
Hindenburg	0.042552
Beehive	0.0424788
six-month	0.042428
Espy	0.0424032
DSE	0.041997
"Ulster Unionist"	0.0418274
nine-day	0.0418087
ACLU	0.0417979
ENTREMED	0.0417576
"Empire State"	0.0417407
"child abuse"	0.041738
"Monica S. Lewinsky"	0.041671
nine-month	0.0416651
UNAMET	0.0416388
WOODWARD's	0.041608
unfolding	0.0415106
multimillion	0.041494
Druse	0.0414234
public-relations	0.0413314
baring	0.0411289
drive-by	0.0411261
clapboard	0.0409258
"Rodney King"	0.0409144
"John Doe"	0.0409104
Bowers	0.0408809
Janis	0.0408497
Stormont	0.0407151
predawn	0.0406945
Inkatha	0.0405809
Eighteen	0.0404937
"Republican House"	0.0404767
goofball	0.0403618
"two dozen"	0.0403497
CUF	0.0401392
defamation	0.0401357
wacko	0.0401039
"United National Party"	0.0400788
malpractice	0.0400127
))
("Branch Davidians" (desc 7892.02) (sims
Davidians	0.419215
"Paula Corbin Jones"	0.136941
Eappens	0.108375
"Mount Carmel"	0.0991368
"David Koresh"	0.0965034
Koresh	0.0954642
"Paula Jones"	0.088321
crewmen	0.0853108
"federal agent"	0.0829784
crewmembers	0.0816468
Harris-Lewis	0.0815173
"Louise Woodward"	0.0801406
cult	0.0798202
inmate	0.0797541
"American Civil Liberties Union"	0.0786496
airmen	0.0766819
"Judicial Watch"	0.0756245
hostage-takers	0.0752691
"Terry Nichols"	0.0744027
sect	0.0734198
plaintiff	0.073178
ACLU	0.0727045
"foster child"	0.0719409
defendant	0.0717951
lawmen	0.0717923
Klansmen	0.0704547
"church member"	0.0696986
policemen	0.0687552
"Lazaro Gonzalez"	0.0680215
crewmates	0.0677019
detainee	0.0671462
"army officer"	0.0670648
Faulder	0.0670402
canister	0.0664766
"police officer"	0.0661815
serviceman	0.0649685
dissident	0.0645791
protester	0.0639472
EEOC	0.0637708
"Ruby Ridge"	0.0633963
co-defendants	0.0633036
skydiver	0.0630305
smoker	0.0626501
guardsmen	0.0626399
servicemen	0.0625021
gunmen	0.0618758
"crew member"	0.0612141
Mease	0.0608922
"Cuban Americans"	0.0602043
assailant	0.0600885
great-uncle	0.0599159
"Czar Nicholas II"	0.0597151
demonstrator	0.0596043
trooper	0.0594767
great-grandchildren	0.0593043
"altar boy"	0.0589904
no-decisions	0.0589391
Wahhabis	0.058811
Schwarz	0.0587016
"white man"	0.0583548
"political prisoner"	0.0581625
B-@s	0.0581301
attacker	0.0577222
"FBI agent"	0.0575838
Gotti	0.0574148
"Southeastern Legal Foundation"	0.0574033
"Clint Reilly"	0.0572199
Fagan	0.0569859
"prison guard"	0.056883
SabreTech	0.0565068
kidnapper	0.0563639
"Baby Bells"	0.0557194
"Iranian Jews"	0.0556061
Cayugas	0.0554171
deceased	0.0552918
follower	0.0552262
"Jack Kevorkian"	0.054314
Sheinbein	0.0542859
"Legal Aid Society"	0.0542531
"Juan Miguel Gonzalez"	0.0541873
"Timothy McVeigh"	0.0541491
Capano	0.0540012
"Columbine High School"	0.0538069
"farm worker"	0.0536207
"Wen Ho Lee"	0.0536055
Diallo	0.0534332
"Patrick Dorismond"	0.0531769
seamen	0.0531568
tractor-trailers	0.0528183
"black man"	0.0527651
tribesmen	0.0527284
Libyan	0.0525683
takeaways	0.0525337
mobster	0.0524474
supremacist	0.052306
McDougal	0.0522085
"Barnett Slepian"	0.0521745
Hijacker	0.0521464
"James Byrd"	0.0521405
"mountain gorilla"	0.0520147
Grenade	0.0520047
"major-league team"	0.0518792
hostage	0.0517178
motorcyclists	0.0514997
"Amadou Diallo"	0.0514683
siege	0.0514224
Copt	0.0512319
Chilean	0.051209
"Edwin Edwards"	0.0511494
KEVORKIAN	0.0511326
"Federal Trade Commission"	0.0509969
exwife	0.0509851
Zapatistas	0.050846
Navajos	0.0507519
militiamen	0.0506494
"tear gas"	0.05063
claimant	0.0504831
schoolgirl	0.0503396
Armenians	0.0501412
"military personnel"	0.0497635
Caldera	0.0497613
militant	0.0497536
"security guard"	0.0496564
O'Hair	0.0495927
rioter	0.0495769
robber	0.0495299
policewoman	0.0495165
Deri	0.0494768
sailor	0.0493971
"Susan McDougal"	0.0493177
"political detainee"	0.0493051
"Anwar Ibrahim"	0.0492403
hemophiliac	0.049123
stowaway	0.0491158
Oneidas	0.0490251
Marcos	0.0486973
protestor	0.0486737
miner	0.0485706
"O.J Simpson"	0.0485567
militiaman	0.0482385
Nepalese	0.0478952
McVeigh	0.0478758
Bellush	0.0477933
"Bosnian Croats"	0.0477756
"Suu Kyi"	0.0476968
"Natural Resources Defense Council"	0.0476878
Flemmi	0.0475951
Papon	0.0475747
"murder suspect"	0.0475448
policyholder	0.0475231
"Pol Pot"	0.047508
plotter	0.0475005
Cuban-Americans	0.0474829
Rushdie	0.0474108
transient	0.0473856
villager	0.0473682
tribesman	0.0472633
gunman	0.0470535
"Manuel Noriega"	0.0469862
commando	0.0469278
crewman	0.0468704
Briton	0.0468598
"coal miner"	0.0468183
Lollar	0.0468012
perpetrator	0.0467933
"military officer"	0.0467145
Webdale	0.0466978
Missourian	0.0466818
marcher	0.0465931
parolee	0.0465916
"Recording Industry Association of America"	0.0464611
"Main Events"	0.0464369
"Big Tobacco"	0.0464254
"James Byrd Jr."	0.0463907
"explosive device"	0.0462659
accused	0.046213
Serbians	0.046151
Guatemalan	0.0461252
Lyons	0.0461045
mutineer	0.0460441
"All-Star Games"	0.0459905
"Russell Peeler"	0.0458768
"United Republic of Tanzania"	0.045713
Turk	0.0457031
MIAs	0.0456507
"air force officer"	0.0456054
"Francisco Franco"	0.0456005
colonist	0.0455775
co-defendant	0.0454906
"drug trafficker"	0.0454723
settler	0.0453893
"Pro Bowls"	0.0453495
Saddam	0.0452527
McDuff	0.0452477
"container ship"	0.045229
firefighters	0.0452041
Dorismond	0.0451992
NAACP	0.0451918
bandit	0.0450835
Salvadoran	0.0449801
))
("branch office" (desc 7132.23) (sims
"sales outlet"	0.133312
branch	0.112582
atm	0.0983021
"subsidiary company"	0.0947979
sub-branches	0.0920407
Consulate-General	0.0885719
"manufacturing plant"	0.0875479
bureaus	0.0860275
headquarters	0.0839413
"educational institution"	0.0830473
"retail store"	0.0824968
"gas station"	0.0824832
centenarian	0.0809843
"employment agency"	0.0808391
"cash machine"	0.0802538
"travel agency"	0.0793397
EPZ	0.0787275
"service station"	0.0775383
"vocational school"	0.0763435
consulate	0.076337
bakery	0.0740668
"trading floor"	0.0737645
"development center"	0.0730125
"head office"	0.0721497
"post office"	0.0718816
subsidiary	0.0715723
"financial organization"	0.0714585
"filling station"	0.0703873
"retail operation"	0.0693984
consortia	0.0692162
"relay stations"	0.0687817
"shopping center"	0.0686146
"production facility"	0.0685988
outlet	0.0682531
"chain store"	0.0682194
substation	0.0679981
eateries	0.0675356
"research center"	0.0674659
"polling place"	0.0670302
"TV station"	0.0667991
"insurance firm"	0.0661476
"language school"	0.0649011
"department store"	0.0643921
"fire station"	0.0643249
"distribution network"	0.0643082
"futures exchange"	0.0640335
"polling station"	0.0639843
laboratory	0.0638827
"sugar refinery"	0.0638154
"telephone system"	0.0635504
"industrial enterprise"	0.0631071
clinic	0.0629614
"petrol station"	0.0628224
"stock exchange"	0.062508
affiliate	0.0623417
beachhead	0.0623382
"office building"	0.0621978
"diplomatic mission"	0.0617922
"television station"	0.0614492
"music school"	0.0613424
"brokerage account"	0.0610845
"financial institution"	0.0609665
embassy	0.060912
"clearing house"	0.060845
Hotlines	0.0608236
"automated teller machine"	0.0606805
"shopping mall"	0.0606328
Warehouse	0.060486
"primary school"	0.0604082
"medical center"	0.0603978
"soup kitchen"	0.0603222
supermarket	0.0601953
showroom	0.0601108
"commercial enterprise"	0.0600221
"polling booth"	0.059942
"shipping company"	0.0599216
"gasoline station"	0.0595547
"training school"	0.0593154
dispensary	0.0591104
drugstore	0.0587094
"publishing house"	0.0586764
"stock company"	0.0576205
"work unit"	0.0576143
bookstore	0.0575501
"cable system"	0.0575229
"bus route"	0.057442
"hot line"	0.0574026
EPZs	0.0572562
"joint venture"	0.0572264
dealerships	0.0570574
"exhibition hall"	0.0570229
"travel agent"	0.0568701
"brokerage firm"	0.0567388
incubator	0.056719
"repair shop"	0.0567148
"industrial park"	0.0566187
"commercial bank"	0.0564023
"savings bank"	0.0563996
"technical school"	0.0563921
"gambling casino"	0.0562958
"beauty parlor"	0.0562035
brewery	0.0561272
brokerage	0.0559698
"personnel department"	0.0559519
"grocery store"	0.0559182
"insurance business"	0.0554716
Website	0.0554593
"trading post"	0.0552732
"Export Processing Zones"	0.0552228
"science museum"	0.0552176
"Medicare HMO"	0.0551931
"police station"	0.0551436
"law practice"	0.0550996
"printing press"	0.0550779
nursery	0.054862
"radio station"	0.0548613
bottlers	0.0548576
"botanical garden"	0.0547395
Pharmacy	0.0546997
"telephone exchange"	0.0545899
"tourist hotel"	0.0545241
"secondary school"	0.0544981
"top executive"	0.0541957
"telephone line"	0.0540824
nightspot	0.0540382
"military installation"	0.0540358
"butcher shop"	0.0539252
"control center"	0.0537921
franchisees	0.0537683
"Medicare HMOs"	0.0533941
"telephone network"	0.0533545
"jewelry store"	0.0529117
brothel	0.0527825
"brokerage unit"	0.0527699
"public toilet"	0.0527292
"business unit"	0.0526629
joint-ventures	0.0526471
"telephone number"	0.0526247
depositor	0.0526208
lab	0.0526095
"main office"	0.0526039
"finance company"	0.0523403
"merchant bank"	0.0522471
"advertising agency"	0.0522029
superstore	0.0519726
"place of worship"	0.0519435
"computer network"	0.0519324
"toy store"	0.0519009
refinery	0.0518621
synagogue	0.051775
"middle school"	0.0517616
florist	0.0515655
"automatic teller machine"	0.0515563
bureaux	0.0515331
"African Economic Community"	0.0515254
"power station"	0.0514922
"American plane"	0.0514746
websites	0.0514416
depot	0.0511676
"oil refinery"	0.0510395
hotline	0.0507542
resellers	0.0507098
"medical institution"	0.050704
"power plant"	0.0505641
"private corporation"	0.0504726
NGOs	0.0504087
"Better Business Bureau"	0.0503652
"divorce lawyer"	0.0502467
"phone service"	0.0502083
"regulatory agency"	0.0501122
"joint-stock company"	0.0501025
"city block"	0.0499532
incinerator	0.0498364
"railway station"	0.049807
"weather station"	0.0496849
aquarium	0.0496334
"investment fund"	0.0496232
centre	0.0496076
"gas plant"	0.0494716
"specialty store"	0.049429
salespeople	0.0492968
judgeship	0.0492494
"Shanghai Branch"	0.049237
"brokerage house"	0.049148
homepages	0.0491167
"central office"	0.0490865
"Fortune Global Forum"	0.0490009
"international criminal court"	0.0489057
"U.S. Embassy"	0.0487865
kiosk	0.0487331
"university student"	0.0487093
agglomeration	0.0486435
barrack	0.0484474
stalls	0.0484436
"opera company"	0.0483579
subscriber	0.0482503
recapitalization	0.0482347
"paper mill"	0.0482265
"nonprofit organization"	0.0481432
bureau	0.0480438
))
(brand (desc 131692) (sims
product	0.151035
model	0.108577
business	0.104847
name	0.102841
company	0.102622
manufacturer	0.0973767
maker	0.0966539
retailer	0.091958
type	0.0913046
label	0.0906822
sale	0.0906578
wine	0.090489
stock	0.0902273
"soft drink"	0.0896714
beverage	0.0893689
item	0.0888793
software	0.0871813
Beer	0.0866141
style	0.0850066
merchandise	0.0848168
cigarette	0.0845425
technology	0.0839217
variety	0.0837248
marketing	0.0831884
store	0.0827628
goods	0.0822971
competitor	0.0822367
toy	0.0820573
image	0.0819275
kind	0.0812785
drug	0.0810764
industry	0.0798625
quality	0.0792333
machine	0.0791416
design	0.0789242
bottle	0.0789189
chain	0.0789033
market	0.0784766
car	0.0774881
concept	0.0764364
trademark	0.076352
drink	0.0762987
customer	0.0760284
sport	0.0760248
property	0.0759606
AD	0.075866
food	0.0756
apparel	0.0755491
"product line"	0.0754676
line	0.0753645
franchise	0.0752655
supplier	0.0752528
buyer	0.0752503
share	0.0752248
service	0.0749374
commodity	0.0749251
version	0.0743306
system	0.0741917
logo	0.0741564
site	0.0739966
seller	0.0739521
culture	0.0739158
division	0.0738463
Advertising	0.0735158
Sedan	0.0726287
"operating system"	0.0723867
provider	0.0722452
consumer	0.0721112
flavor	0.072096
network	0.0720436
content	0.0718022
art	0.0714977
commercial	0.0714369
"mutual fund"	0.0711629
factory	0.0710456
magazine	0.0709535
producer	0.0709208
vehicle	0.0708891
program	0.0707114
offering	0.070518
unit	0.0704644
category	0.0699929
automobile	0.0693559
Clothing	0.0693124
PC	0.0691351
production	0.0689669
Portal	0.0689426
firm	0.0687546
music	0.0686726
"personal computer"	0.0685631
plant	0.0684029
player	0.0683402
form	0.0681557
character	0.0680043
"market share"	0.067962
personality	0.0678783
outlet	0.0677617
collection	0.0677369
tradition	0.0677039
engine	0.067366
Computer	0.0672659
feature	0.0672193
enterprise	0.0671401
venture	0.0669876
advertiser	0.066783
price	0.0667825
idea	0.0666593
film	0.0664958
taste	0.0664032
designer	0.0663021
programming	0.0661341
institution	0.0660916
artist	0.0660582
chip	0.0659984
distributor	0.0659967
giant	0.0656765
Entertainment	0.0656753
channel	0.0656259
component	0.0655397
piece	0.0654924
material	0.0652108
marketers	0.065016
user	0.0650133
mix	0.0649636
dealerships	0.0649573
book	0.064916
operation	0.0648417
show	0.0642133
strategy	0.0641389
subsidiary	0.063846
consumption	0.0637304
executive	0.063619
movie	0.0635088
dealer	0.0635029
asset	0.0634382
color	0.0633947
talent	0.0628052
blend	0.062765
corporation	0.062698
hardware	0.0626737
ones	0.062622
equipment	0.0625634
tobacco	0.0624882
combination	0.0621713
bottler	0.0621061
application	0.0618531
airline	0.0618458
innovation	0.0618151
Internet	0.0617898
shoe	0.0616618
merchant	0.061584
package	0.0615353
object	0.0615272
device	0.0614623
ingredient	0.0614367
client	0.0611022
value	0.0610144
athlete	0.060995
restaurant	0.0609642
cosmetic	0.060818
utility	0.0606836
vendor	0.0606178
winery	0.0606061
dish	0.0605769
icon	0.0603779
symbol	0.0600715
Pepsi	0.0600203
box	0.0599772
reputation	0.0599503
Fragrance	0.0599004
standard	0.0598505
technique	0.0598069
export	0.0597906
manufacturing	0.0597753
"prescription drug"	0.0597118
tool	0.0596974
method	0.0596083
performer	0.0595816
cereal	0.0595805
marketer	0.0595721
philosophy	0.0595574
acquisition	0.0593435
recipe	0.0593289
import	0.0593061
bank	0.0592685
size	0.0590784
identity	0.0590355
thing	0.0590215
browser	0.0590171
stuff	0.0590119
sales	0.0589344
video	0.0588936
shop	0.0588603
CD	0.0587219
alternative	0.0587151
medicine	0.0586995
medium	0.0586202
instrument	0.0586145
fare	0.058608
candidate	0.0585797
))
(Brandeis (desc 3438.64) (sims
"Brandeis University"	0.174284
"Boston University"	0.16905
"George Washington University"	0.144566
"Georgia State University"	0.144142
"Smith College"	0.141995
"University of Kentucky"	0.140136
"Trinity College"	0.138089
"University of Wisconsin"	0.135171
"Princeton University"	0.135111
"Auburn University"	0.134821
"Yale university"	0.133387
"Harvard Law School"	0.133216
"Syracuse University"	0.132639
"University of Georgia"	0.131356
"University of Chicago"	0.130814
"University of New Mexico"	0.130059
MIT	0.128849
"University of Illinois"	0.127418
"University of Kansas"	0.127231
"Ohio State University"	0.126798
"University of Minnesota"	0.125654
"UC Berkeley"	0.12518
Bu	0.124971
"Stanford University"	0.123805
"Yale Law School"	0.123058
Yale	0.122969
"University of Iowa"	0.122694
"Indiana University"	0.121866
"University of Oklahoma"	0.121365
"American University"	0.120205
"Kennedy School"	0.11896
"University of Michigan"	0.118904
"Emory University"	0.117962
"Harvard Business School"	0.116425
"University of Pennsylvania"	0.115133
"Northwestern University"	0.114501
"San Francisco State University"	0.114307
"Harvard University"	0.114208
"Brown University"	0.114103
"Dartmouth College"	0.113911
"University of Tennessee"	0.113801
"University of Washington"	0.113774
"University of Utah"	0.113703
"Cambridge University"	0.113584
"University of Pittsburgh"	0.113125
"Cornell University"	0.113015
"City College"	0.1123
"Texas Christian University"	0.11173
Harvard	0.111679
Cornell	0.111227
"University of Florida"	0.111213
"Juilliard School"	0.11088
"University of Massachusetts"	0.110819
"Columbia University"	0.110795
"University of Maryland"	0.110029
"Rutgers University"	0.10943
"University of Arizona"	0.109411
"University of Texas"	0.109023
Dartmouth	0.108942
"Carnegie Mellon University"	0.108293
"Florida State University"	0.108069
"Oxford University"	0.108039
"New York University"	0.108038
"Howard University"	0.108013
"Queens College"	0.107251
"Temple University"	0.106603
"University of South Carolina"	0.106426
"Michigan State University"	0.105894
"Harvard Medical School"	0.10569
"University of Southern California"	0.1056
"Vanderbilt University"	0.105331
"University of Virginia"	0.104163
"Arizona State University"	0.104077
Princeton	0.103971
Radcliffe	0.103965
"Massachusetts Institute of Technology"	0.103921
"Barnard College"	0.103829
"University of Miami"	0.103472
"Rice University"	0.10199
"Iowa State University"	0.101602
"Northeastern University"	0.10124
"Boston College"	0.100655
Juilliard	0.100032
"Hofstra University"	0.0990007
"Baylor University"	0.0985973
"London School of Economics"	0.0985769
"University of Rochester"	0.0980646
"University of Missouri"	0.0978423
"University of Hawaii"	0.0976595
"Washington University"	0.0976124
"George Mason University"	0.0971351
"University of Dayton"	0.0965505
"Brigham Young University"	0.0960653
"University of Houston"	0.0959573
"University of California"	0.0959535
UGA	0.094684
Emory	0.0944642
"Duke University"	0.0944069
"Pennsylvania State University"	0.0943273
"Johns Hopkins University"	0.0936829
"business school"	0.0922908
"Wright State University"	0.0920726
Sorbonne	0.0914157
"Fordham University"	0.0895239
"Florida International University"	0.089434
"State University of New York"	0.0890968
"community college"	0.0883133
WSU	0.0881398
NYU	0.08809
"University of Arkansas"	0.0877863
"California State University"	0.0873659
"Williams College"	0.0871904
"University of North Carolina"	0.0871473
"Georgetown University"	0.0866241
northeastern	0.0865004
Vassar	0.086033
"Washington State University"	0.0854248
"University of Notre Dame"	0.0851344
UNC	0.0847467
"Furman University"	0.0844718
"Louisiana State University"	0.0844331
"University of Mississippi"	0.0838536
"Cooper Union"	0.0829583
"University of Colorado"	0.0829365
Qinghua	0.0829195
"Hebrew University"	0.0828235
Wellesley	0.0822697
"Kansas State University"	0.0820325
UC	0.0816081
Stanford	0.08147
"University of New Hampshire"	0.0813864
"Catholic University"	0.0813219
"University of Toronto"	0.0805234
"Purdue University"	0.0800707
"University of Rhode Island"	0.0794902
"Johns Hopkins"	0.0790283
"University of Cincinnati"	0.0789662
"McGill University"	0.0783456
"City University of New York"	0.0777632
"West Point"	0.0770715
"Hunter College"	0.0768179
"Seton Hall University"	0.0762074
Oxford	0.0750888
"Georgia State"	0.0744281
UMass	0.0739935
Rutgers	0.0739282
"Southern Methodist University"	0.0736539
CalTech	0.0734626
SFA	0.0733028
"Holy Cross"	0.0725915
tuft	0.0724646
seminary	0.0718863
"University of Oregon"	0.0718214
"Georgia Tech"	0.0717649
FSU	0.0717062
Berkeley	0.071217
K-State	0.0710425
IU	0.0707084
"Colorado State University"	0.070465
"University of Connecticut"	0.0703203
"California Institute of Technology"	0.069567
"University of Zimbabwe"	0.0691279
"University of Nebraska"	0.0684114
"medical school"	0.0680919
"University of Alabama"	0.0680717
"Tufts University"	0.0680087
"Wesleyan University"	0.0676242
UMKC	0.067483
"law school"	0.0670224
"Zhongshan University"	0.066292
UA	0.0660953
"Seton Hall"	0.0659702
UT	0.0659473
"Qinghua University"	0.0658765
"New Covenant"	0.065415
UNAM	0.0651446
"U.S. Soccer Federation"	0.0649891
"North Carolina State University"	0.0648375
"naval academy"	0.0647908
LAUSD	0.0646788
"Amherst College"	0.0645662
SUNY	0.0644905
"Cal State Northridge"	0.0642124
conservatory	0.063586
"Wake Forest University"	0.0630868
BC	0.0627619
USGA	0.0625693
Georgetown	0.0623782
"College of Charleston"	0.0622545
"Harvard College"	0.0611787
USTA	0.060896
KU	0.0607277
"air force academy"	0.0593781
"Penn State"	0.0592354
DEP	0.0580645
"Salt Lake Organizing Committee"	0.0578447
Eton	0.0572136
Baylor	0.0568985
"school of law"	0.0562484
"University of Nevada"	0.0560563
))
("Brandeis University" (desc 3276.83) (sims
"Georgia State University"	0.228795
"University of New Mexico"	0.220566
"Duke University"	0.213329
"Carnegie Mellon University"	0.211052
"University of Wisconsin"	0.209706
"Princeton University"	0.207508
"Arizona State University"	0.204765
"Emory University"	0.201034
"Texas Christian University"	0.197404
"Rice University"	0.196848
"Cornell University"	0.196723
"Massachusetts Institute of Technology"	0.196265
"George Washington University"	0.195065
"Iowa State University"	0.192796
"University of Tennessee"	0.191943
"Rutgers University"	0.188257
"Boston University"	0.188101
"Harvard Business School"	0.186789
"University of Illinois"	0.185843
"University of Kentucky"	0.185725
"Temple University"	0.184865
"Purdue University"	0.183399
"University of Pennsylvania"	0.182443
"New York University"	0.182401
"Smith College"	0.182377
"University of Chicago"	0.181822
"University of Notre Dame"	0.181417
"University of Michigan"	0.178793
"Kansas State University"	0.177582
"University of Georgia"	0.17639
"American University"	0.175611
"University of Rochester"	0.17533
"Northwestern University"	0.17441
Brandeis	0.174284
"University of Colorado"	0.172262
"University of Arkansas"	0.171474
"Fordham University"	0.171472
"Stanford University"	0.170848
"Tufts University"	0.170443
"Ohio State University"	0.168987
"George Mason University"	0.168849
"Washington State University"	0.168338
"University of Toronto"	0.168191
"Harvard University"	0.168
"Indiana University"	0.167884
"Yale university"	0.167818
"Oxford University"	0.167086
"Johns Hopkins University"	0.165822
"Michigan State University"	0.164964
"University of Minnesota"	0.164275
"Auburn University"	0.163881
"University of North Carolina"	0.163697
"Brown University"	0.162117
"University of Massachusetts"	0.161881
"University of Southern California"	0.15922
"Syracuse University"	0.158887
"University of Kansas"	0.15885
"North Carolina State University"	0.157054
"Vanderbilt University"	0.155206
"Brigham Young University"	0.155037
"University of Arizona"	0.154912
"Colorado State University"	0.154439
"University of Virginia"	0.153582
"University of Utah"	0.153191
"Howard University"	0.151363
"University of Cincinnati"	0.150754
"University of Pittsburgh"	0.14868
"University of Texas"	0.148651
"Columbia University"	0.148181
"Cambridge University"	0.146827
MIT	0.146202
"University of Iowa"	0.146106
"University of New Hampshire"	0.145133
"Queens College"	0.144771
"San Francisco State University"	0.144661
"Northeastern University"	0.144597
"University of Maryland"	0.144239
"Trinity College"	0.143859
"Hebrew University"	0.143811
"Harvard Medical School"	0.14255
"University of California"	0.142178
"State University of New York"	0.142108
"University of Florida"	0.141917
"California State University"	0.140809
"Juilliard School"	0.140758
"Yale Law School"	0.139653
"Florida State University"	0.139438
"University of Oklahoma"	0.138137
"Furman University"	0.137502
"McGill University"	0.137421
"City University of New York"	0.136035
"Wright State University"	0.135993
"University of Washington"	0.134457
Yale	0.134307
"University of Hawaii"	0.134169
"Hofstra University"	0.133843
"Harvard Law School"	0.133463
"Pennsylvania State University"	0.132326
"Georgetown University"	0.132217
"Baylor University"	0.131115
"University of Miami"	0.130147
"Washington University"	0.12927
"Media Lab"	0.128949
"Dartmouth College"	0.128556
"Williams College"	0.128204
Cornell	0.124987
"UC Berkeley"	0.124976
"Peking University"	0.124288
"London School of Economics"	0.123668
"Kennedy School"	0.122506
"Catholic University"	0.12013
"Harvard School of Public Health"	0.118391
"University of South Carolina"	0.11772
"University of Connecticut"	0.115502
"Wesleyan University"	0.115095
"Southern Methodist University"	0.115063
"University of Alabama"	0.114376
"University of Mississippi"	0.113455
Emory	0.112931
"Louisiana State University"	0.112474
"University of Missouri"	0.11099
NYU	0.109613
"University of Zimbabwe"	0.109082
"Beijing University"	0.108563
"City College"	0.108512
"University of Rhode Island"	0.10758
"University of Dayton"	0.106989
"city university"	0.106205
"California Institute of Technology"	0.105693
"UC Santa Barbara"	0.10552
"University of Houston"	0.105303
Princeton	0.105185
"Nanjing University"	0.10479
CalTech	0.104679
"Cooper Union"	0.104483
"Hunter College"	0.104189
"John F. Kennedy School of Government"	0.101494
"medical school"	0.100949
Harvard	0.100919
"Rockefeller University"	0.100527
"University of Nebraska"	0.0995876
"Baylor College of Medicine"	0.0993565
"school of medicine"	0.0991942
"Wake Forest University"	0.0977671
"Georgia State"	0.0977408
"Kennedy School of Government"	0.0974393
"Florida International University"	0.0957163
"Johns Hopkins"	0.0955529
"University of Oregon"	0.0943237
"Amherst College"	0.0939838
Juilliard	0.0926269
UGA	0.0914362
"Fudan University"	0.0910064
"UC Irvine"	0.0907238
"community college"	0.0905714
Dartmouth	0.0898421
Qinghua	0.0894471
"National Institute"	0.089062
"College of Charleston"	0.0879467
seminary	0.0875703
"Tehran University"	0.0865536
"school of music"	0.0864296
"Qinghua University"	0.0858675
"Georgia Tech"	0.0857828
"business school"	0.0853806
"air force academy"	0.082635
UMKC	0.0822037
"University of Hong Kong"	0.0816729
"school of law"	0.0811513
"U.S. Naval Academy"	0.0806281
"Boston College"	0.0802986
"Barnard College"	0.080178
"Urban Institute"	0.0801106
KU	0.0798655
CUNY	0.0787764
Bu	0.0787219
"Massachusetts General Hospital"	0.0783491
Rutgers	0.0777937
UCSF	0.0771856
Berkeley	0.0750044
"Seton Hall University"	0.074548
UW	0.074528
"Wright-Patterson Air Force Base"	0.0744886
"Lawrence Livermore National Laboratory"	0.0738289
Vassar	0.0738206
conservatory	0.0730214
"West Point"	0.0726074
CASS	0.072143
"Memorial Sloan-Kettering Cancer Center"	0.0716768
Sorbonne	0.0715412
Eton	0.0707914
"mechanical engineering"	0.0707026
"John F. Kennedy Library"	0.0697174
"law school"	0.0689046
"University of Wyoming"	0.0682968
"Wharton School"	0.0671432
"Mount Sinai Medical Center"	0.0668814
"Graduate School of Business"	0.0660484
"Bell Labs"	0.0657358
IU	0.0656052
))
(Brandenburg (desc 1877.84) (sims
Saxony	0.288571
Hesse	0.215073
"Lower Saxony"	0.147302
"Quintana Roo"	0.133781
Guanajuato	0.113078
Sinaloa	0.11246
"Minas Gerais"	0.112354
Zacatecas	0.111138
Bavaria	0.108969
Tamaulipas	0.103934
Jalisco	0.103427
"Himachal Pradesh"	0.102016
Gujarat	0.101573
Kerala	0.0981342
Kedah	0.0965281
Veracruz	0.0924878
Kelantan	0.0914847
Haryana	0.09093
Puebla	0.0895748
"West Bengal"	0.0892404
Bihar	0.088407
Pahang	0.0880148
Maharashtra	0.0877537
"Tamil Nadu"	0.0855972
Michoacan	0.0852898
"Andhra Pradesh"	0.0845424
Durango	0.0839504
Morelos	0.0837975
Karnataka	0.0816182
Johor	0.0815157
Selangor	0.0804558
Antioquia	0.0802679
Putumayo	0.0796947
Bremen	0.079515
Orissa	0.0789078
Tabasco	0.0761807
Bahia	0.0761309
"Uttar Pradesh"	0.0742807
Oaxaca	0.072414
Tasmania	0.0714295
Punjab	0.0694523
Sarawak	0.0690755
"Damascus Declaration"	0.0685572
"New South Wales"	0.0683258
Sonora	0.067672
Guerrero	0.066224
Shariah	0.0653576
"South Australia"	0.0650103
Vivaldi	0.064723
Chiapas	0.064275
Edo	0.0637875
Queensland	0.0622638
"Baja California"	0.0621802
"Madhya Pradesh"	0.0609967
Rajasthan	0.060844
Sabah	0.0594821
Assam	0.0585555
"Pulau Pinang"	0.0579412
Tigray	0.0577982
Kano	0.0575228
Kaduna	0.0574192
Mannheim	0.0573667
chihuahua	0.0568407
"Western Australia"	0.0565573
"Lagos State"	0.0565063
Delhi	0.0561759
Perak	0.055435
"Gwinnett County"	0.0525302
Luxemburg	0.051956
Malacca	0.0507924
Elgar	0.0504441
Hidalgo	0.0501857
"Western European"	0.0496042
Fatima	0.0492244
Enugu	0.048171
Valle	0.0479562
"Bank of Israel"	0.0474749
Rachmaninoff	0.0469375
"East African Cooperation"	0.0468388
Botswanan	0.0465502
Sindh	0.046142
Holyfield-Lewis	0.0461226
"Delta State"	0.0460757
Beersheba	0.0449311
Thirty-eight	0.0447046
Penang	0.0443301
southerain	0.0442913
decomposition	0.0441846
Alcorn	0.0438233
"Central Asian"	0.0436563
RBA	0.0435364
Dusseldorf	0.043319
"Andean Group"	0.0432906
IGAD	0.0431766
"Warsaw Pact"	0.0431571
"Bank of Italy"	0.043145
tossup	0.0420466
"Rocky Mountain"	0.0420263
Surinam	0.0419344
Para	0.0411117
Gdansk	0.0408462
"Dallas County"	0.0406861
Mid-Atlantic	0.0405107
Bolivar	0.0402517
sucre	0.0401027
Herat	0.0400266
))
("Brandenburg Gate" (desc 1477.95) (sims
"Potala Palace"	0.105976
"Huangpu River"	0.0932771
"San Francisco Bay"	0.0928277
Reichstag	0.0915721
Bund	0.0888844
"Hilton Hotel"	0.0874523
"Union Station"	0.0832515
"Erie Canal"	0.0818966
"SIERRA BLANCA"	0.0760204
"Tiananmen Square"	0.0758882
"gambling casino"	0.0744227
"Union Square"	0.0716366
"Bay Bridge"	0.0702235
"World Youth Games"	0.0676794
"La Paz"	0.0674722
"Demilitarized Zone"	0.0662054
rostrum	0.0644054
"Brooklyn Bridge"	0.0630584
"Apollo Theater"	0.0613232
"Iranian capital"	0.0611456
"Mount Hermon"	0.0608127
chancellery	0.0600199
"Jewish Museum"	0.0597255
Missoula	0.0596962
"Route @@"	0.0596175
"St. Maarten"	0.0592681
Helena	0.0587011
Yuma	0.0584986
ASHEVILLE	0.0584861
"carriage house"	0.0584214
"Olympic Stadium"	0.0572651
Mosul	0.0570933
"Washington Monument"	0.0567861
Montpelier	0.0566748
Lighthouse	0.0566076
Mankulam	0.0560807
Ensenada	0.0558238
equator	0.0558005
Dushanbe	0.0555208
"Red River"	0.0549581
"National Gallery"	0.0546914
"Hainan Island"	0.0545699
autobahn	0.0530819
"Golden Gate Bridge"	0.0530157
"Potsdamer Platz"	0.0528039
"Hudson River"	0.0522573
"Asia-Europe Meeting"	0.0519152
"Dead Sea"	0.0518273
"apartment house"	0.0514932
"building site"	0.0513762
"Hong Kong International Airport"	0.0513742
"farmer's market"	0.0512787
"US Embassy"	0.0512691
"Sydney Opera House"	0.0511427
"Western Wall"	0.0510973
"West Lake"	0.0508282
"open-air market"	0.0508196
"Delaware River"	0.0504625
"Space Needle"	0.0503779
"Maple Leaf Gardens"	0.050363
"town hall"	0.0503542
"San Joaquin Valley"	0.050105
"Macao International Airport"	0.0500846
"Ohio River"	0.0496191
"railroad station"	0.049597
"American Jewish Committee"	0.0493313
"Fortune Global Forum"	0.049325
Cyberjaya	0.0492365
"German Open"	0.0491962
"bus terminal"	0.0491853
"Memorial Hall"	0.0490833
Paranthan	0.0490113
"United States Embassy"	0.0489192
"Interstate @"	0.0485159
"Suzhou Industrial Park"	0.048224
"Royal Palace"	0.0481697
"Seventh Avenue"	0.0480151
Eureka	0.0478179
"sugar refinery"	0.0476719
"Green Line"	0.047608
"Indian High Commission"	0.0469857
Sidon	0.0467417
"New Frontier"	0.0463911
"Suez Canal"	0.0461845
"Lijiang River"	0.0458365
"Rocky Mountains"	0.045735
Williamstown	0.0452603
"Lincoln Memorial"	0.0451631
firehouse	0.0450734
Kuito	0.0448696
"San Salvador"	0.0447816
"Leeward Islands"	0.0445764
Redding	0.0439165
SANAA	0.0437779
"Japanese Embassy"	0.0437425
"Grand Hotel"	0.0435433
"front room"	0.0434715
Brownsville	0.0434327
Flagstaff	0.0433706
bric-a-brac	0.0428545
edifice	0.0427015
"Forbidden City"	0.0426884
Carlsbad	0.0426423
"Grand Canyon National Park"	0.0426418
Dubuque	0.0426385
"International AIDS Conference"	0.042631
"Columbus Circle"	0.0426174
Antioquia	0.0424847
"trade route"	0.0424791
"German Embassy"	0.0422152
"vacant lot"	0.0421403
"police precinct"	0.0421299
"Guatemala City"	0.042068
"Lake Erie"	0.0419341
Mullaitivu	0.0417143
"Sino-British Joint Liaison Group"	0.0416142
"Interstate @@@"	0.0413993
Bujumbura	0.0413746
"manor house"	0.0413414
floodgate	0.0411885
"tea house"	0.0411821
Tuscaloosa	0.0411529
nightspot	0.0410462
"prayer meeting"	0.0409581
Urosevac	0.0409399
"Imperial Palace"	0.0409352
"World Food Summit"	0.0408888
"Commonwealth Ministerial Action Group"	0.0406933
"work camp"	0.0406707
Caspian	0.0406314
Basra	0.0405247
"Fourth World Conference"	0.0404949
"Summer Palace"	0.0403701
"Passion play"	0.0403639
))
(Brandi (desc 1510.76) (sims
Theresa	0.0922232
Marlene	0.0873736
Christy	0.0860475
Sund	0.0859638
Goran	0.0849351
alicia	0.0846892
Farina	0.0842044
Nana	0.0807203
Evelyn	0.0782352
Olga	0.0778306
Lyn	0.07639
Chrissie	0.0755996
Patricia	0.0754453
Ricky	0.0728283
Stubbs	0.0719712
Renee	0.0715005
Andrea	0.0704431
Doris	0.0695266
Berasategui	0.0691696
Eileen	0.068605
Steffi	0.0685584
Soares	0.0683229
Phillip	0.0678231
Esther	0.0675314
Maria	0.0672411
Morley	0.0671201
"Carole Sund"	0.0669079
Pamela	0.0667002
Monson	0.0664969
anna	0.066322
Rita	0.0663171
Meligeni	0.0657179
"Rita Grande"	0.0656699
Timmy	0.0654879
Nancy	0.0646592
Carla	0.0643444
Aris	0.0638254
Dragomir	0.0637769
Moog	0.0637647
Laudor	0.063312
Liz	0.0632316
Brazill	0.0628018
Andrei	0.062707
Druckenmiller	0.062594
Jennifer	0.0623427
Stolle	0.0621793
Ilie	0.0620267
Costner	0.0618478
Polly	0.0617034
Stephanie	0.0603822
Fech	0.0601621
Moeller	0.0601013
Shannon	0.0598736
Heidi	0.0598712
Alexandra	0.0593828
Pam	0.0585533
Ita	0.0585382
Faison	0.0583414
Nate	0.05826
Anne	0.0581029
Testud	0.0580918
Roberson	0.0578246
Burt	0.0578059
Colin	0.0576389
Boller	0.0575216
J.D	0.0573219
Moxley	0.0571626
Sarah	0.0568732
Stevenson	0.0567121
Suarez	0.0566378
Barbara	0.0564279
Justin	0.0562886
Sylvia	0.0562818
Haarhuis	0.0561598
Stoltenberg	0.0561186
Cherie	0.0561094
Gustafsson	0.0560827
Evan	0.0560203
Santoro	0.0559949
Kathy	0.0557874
Wilander	0.0557473
Bavasi	0.0554963
Bishara	0.0550396
Beverly	0.0549334
Julie	0.0548665
Plante	0.0548541
fiance	0.0548326
Greg	0.0546191
Lynne	0.0545015
Lucic	0.0544865
Woodforde	0.054442
Skiles	0.0540252
Schalken	0.0538326
Damm	0.0537103
Edwin	0.0536828
Ebbers	0.0536627
Laura	0.0536116
Godfrey	0.0535439
Radojevic	0.0531089
Alexei	0.0529957
Miriam	0.0529607
Yoakam	0.0528388
Monique	0.0526673
Raoux	0.052547
Likhovtseva	0.0525438
Luton	0.0524532
Alexis	0.0522722
Britton	0.052255
Kremer	0.0521899
Ben	0.0521152
Christine	0.052086
Lapentti	0.0519284
Nasrin	0.051902
Angelica	0.051846
Marianne	0.0518392
Medvedev	0.0518175
Adrian	0.0517346
da	0.0517092
Sanchez-Vicario	0.0516459
Cassie	0.0515008
Juli	0.0514729
Gaston	0.051409
Redd	0.0513914
Shriver	0.0513522
Jamie	0.0512385
Rubenstein	0.0511773
Sojo	0.0510589
Brooke	0.050962
Gail	0.0504852
Danny	0.0502229
Paulina	0.0501786
Berle	0.0500984
Kenny	0.0500171
Martina	0.0500075
Gluck	0.0499396
Rachel	0.0499332
Kournikova	0.0498421
Larsson	0.0498209
Bruguera	0.0498019
Mona	0.049796
ANN	0.0497782
Edberg	0.0496772
Michelle	0.0496471
Ulihrach	0.0494942
Jason	0.0494083
Erin	0.0493103
Marguerite	0.0492405
Cindy	0.0492275
Pete	0.0491674
"Princess Anne"	0.0491259
Ferrer	0.0490618
Zvereva	0.04899
Johanna	0.0489488
Yoon	0.0489444
Erik	0.0488806
Lange	0.0488704
Abdur-Rahim	0.0488511
squatting	0.048836
Moya	0.0487676
sander	0.0486884
Tim	0.048618
Susan	0.0486053
Phyllis	0.0485852
Menchu	0.0485585
Coffey	0.0485401
Linda	0.0485251
"Barbara Schwartz"	0.0484376
Natasha	0.0484014
Catalina	0.0483822
Sidot	0.0483697
Rosario	0.0482843
Rostock	0.0480019
Mease	0.0478066
Connie	0.0477932
Debbie	0.0477541
Lindsay	0.0477161
Sara	0.0476604
Roberto	0.0475386
Jimy	0.0475259
Palczynski	0.0474542
Mucha	0.0474491
Mullins	0.0474278
Kimberly	0.0474013
fiancee	0.047367
Roux	0.0473051
Serena	0.0472081
Gabe	0.0471736
Kearney	0.0470396
Pavel	0.0470251
Clavet	0.0470149
Denise	0.0470114
Spartak	0.0469982
Erica	0.0469366
Pauline	0.0469269
Amy	0.046912
Eric	0.0468499
Huggins	0.0468114
Courtney	0.0467178
Katie	0.046707
Gimelstob	0.0467012
))
("Brandi Chastain" (desc 4764.48) (sims
"Carla Overbeck"	0.396681
"Kristine Lilly"	0.394969
"Michelle Akers"	0.364503
"Julie Foudy"	0.358082
"Tiffeny Milbrett"	0.353062
"Joy Fawcett"	0.351183
"Cindy Parlow"	0.270462
"Kate Sobrero"	0.249952
"Mia Hamm"	0.243309
Chastain	0.212421
"Briana Scurry"	0.202732
"Shannon MacMillan"	0.175566
Foudy	0.155898
Milbrett	0.144169
"Sun Wen"	0.135574
"Alexi Lalas"	0.106047
"Gheorghe Hagi"	0.105308
"Fan Zhiyi"	0.0947795
"Lothar Matthaeus"	0.0927021
Hamm	0.0914323
Romario	0.090677
Akers	0.090513
"Hristo Stoichkov"	0.0888733
"Hu Weidong"	0.0888509
"Joe-Max Moore"	0.0868656
"Sinisa Mihajlovic"	0.085163
Sissi	0.0824573
"Jaap Stam"	0.0805995
"Youri Djorkaeff"	0.0795026
"Davor Suker"	0.0776699
"Laurent Blanc"	0.0764614
"Bobby Charlton"	0.0746383
"Morten Andersen"	0.0743308
"Hidetoshi Nakata"	0.0731902
"Luc Robitaille"	0.0728321
"Paul Caligiuri"	0.0711727
"Predrag Mijatovic"	0.070258
"Robert Jarni"	0.0695167
"Robert Prosinecki"	0.0682228
"Hao Haidong"	0.0679946
"Emmanuel Petit"	0.0672812
"Lilian Thuram"	0.0672119
"Paolo Maldini"	0.0669831
"Michel Platini"	0.0665649
"Roberto Baggio"	0.0662913
"David Beckham"	0.0656608
"Diego Maradona"	0.0654743
"Thomas Haessler"	0.064523
"Paul Gascoigne"	0.0638021
Cafu	0.0636799
"George Weah"	0.0634723
Bebeto	0.063227
Laudrup	0.0628168
Pele	0.0627057
"Jeff Agoos"	0.0621397
"Frankie Hejduk"	0.0619711
Fedorov	0.0616267
Felipe	0.0614961
"Kasey Keller"	0.0614851
"Christian Vieri"	0.0614173
Chilavert	0.0613621
"Zinedine Zidane"	0.0607093
"Michael Owen"	0.0603451
"Raul Diaz Arce"	0.0603239
"Brett Hull"	0.0597928
"Dino Baggio"	0.0596638
"Gabriel Batistuta"	0.0595931
Batistuta	0.0594895
"Frank de Boer"	0.0593489
Djorkaeff	0.0588256
"Cobi Jones"	0.0584394
Suker	0.0579034
"Chris Porter"	0.0577794
"Ian Wright"	0.0572111
Zico	0.0569978
Oliveira	0.0566098
"Paul Kariya"	0.056309
Jacke	0.0563014
"Roberto Carlos"	0.0561346
"Mike Burns"	0.0558842
"Robert Pires"	0.0558551
"Marcelo Balboa"	0.0555139
Ricci	0.0554411
Vinatieri	0.0553245
Baggio	0.0552141
"Robin Fraser"	0.054684
"Clyde Drexler"	0.0543239
"Thomas Dooley"	0.0542147
"Eddie Lewis"	0.0539867
Etcheverry	0.0538722
Elam	0.0537334
"Nwankwo Kanu"	0.0536103
"Christian Karembeu"	0.0534188
"Tony Adams"	0.0528086
"Tab Ramos"	0.0526123
"Chamique Holdsclaw"	0.0522596
"Cliff Ronning"	0.0520354
"Tony Amonte"	0.0519576
"Eddie Pope"	0.0516348
Gorter	0.0515296
"Dan Petrescu"	0.0514828
"Joe Nieuwendyk"	0.0512351
Rivaldo	0.0511861
"Dejan Savicevic"	0.0510664
"Junior Baiano"	0.0508247
"Amy van Dyken"	0.0503671
"Ronald de Boer"	0.0501051
"Glen Murray"	0.0495276
"Carlos Valderrama"	0.0493961
"Harry Kewell"	0.0489938
Hagi	0.048882
Selanne	0.0488437
"Derrick Thomas"	0.0487078
"Mike Modano"	0.0485831
Serna	0.0485528
"Pavel Bure"	0.0483196
"Ziggy Palffy"	0.0480853
"Marcel Desailly"	0.0479046
Klinsmann	0.0476568
"John Harkes"	0.0476477
Jorgensen	0.0475143
"Bixente Lizarazu"	0.0474209
DiCicco	0.0472818
"TOM COUGHLIN"	0.0472085
"Dejan Stankovic"	0.0470189
Turgeon	0.0465826
"Yao Ming"	0.0462374
"Greg Vanney"	0.0462003
"Dick Vermeil"	0.0461898
Smolinski	0.0459429
"Claudio Reyna"	0.0458879
Aldair	0.0458248
"Eric Cantona"	0.0456656
Langenbrunner	0.0456461
"Jozef Stumpel"	0.0456391
"Dwight Yorke"	0.0455848
Edmundo	0.0455103
"Guy Carbonneau"	0.045419
"Oksana Baiul"	0.0451635
"Terry Cummings"	0.0450812
"Mats Sundin"	0.0447232
"Bryon Russell"	0.0446835
Vieri	0.0446625
Tocchet	0.0446576
"Franz Beckenbauer"	0.0446316
Welton	0.0446071
"Fernando Hierro"	0.0445329
"Ali Daei"	0.0445298
co-captain	0.0442559
"Rosa Parks"	0.0442065
"Jaromir Jagr"	0.0441785
"Carlos Santana"	0.0441614
"John Hall"	0.0438773
Mendes	0.0438626
"Eric Lindros"	0.0437492
Lilly	0.0436447
"Deng Yaping"	0.0434279
"Wang Zhizhi"	0.0433719
"Trace Armstrong"	0.0432802
Stockton	0.0432638
Plante	0.0431444
"Jenny Thompson"	0.0428976
Blanc	0.0428171
Rucchin	0.0424525
"Faustino Asprilla"	0.0423957
"Cathy Freeman"	0.0422553
"Ken Daneyko"	0.042222
McKay	0.0421808
"Ivan Zamorano"	0.0421748
Carney	0.0421326
"Rob Blake"	0.0420531
"Jeremy Roenick"	0.0416971
Toomer	0.0414213
"Christophe Dugarry"	0.0413964
"Shannon Miller"	0.0413901
"Mateen Cleaves"	0.0413509
LeClair	0.0412613
"Derian Hatcher"	0.0410408
goalkeeper	0.0408043
"Kjetil Andre Aamodt"	0.0407841
Ronaldo	0.0407263
"Joe McEwing"	0.0406864
Drury	0.040656
"Marco Pantani"	0.0406506
"James Carville"	0.0405553
"Brian Laudrup"	0.0404973
"Drayton McLane Jr."	0.0404817
"Matt Santangelo"	0.0404047
"Bela Karolyi"	0.040374
"Sean Elliott"	0.0401441
"Jere Lehtinen"	0.0401338
"Marion Jones"	0.0400797
))
("Brandie Burton" (desc 1584.52) (sims
"Sherri Steinhauer"	0.344583
"Juli Inkster"	0.314652
"Donna Andrews"	0.300984
"Laura Davies"	0.290635
"Dottie Pepper"	0.286113
"Karrie Webb"	0.238676
"Kelly Robbins"	0.236611
"Pat Hurst"	0.229201
"Liselotte Neumann"	0.221733
"Helen Alfredsson"	0.209749
"Meg Mallon"	0.206167
"Betsy King"	0.172138
"Se Ri Pak"	0.170721
"Annika Sorenstam"	0.142167
"Chris Johnson"	0.109708
"Nancy Lopez"	0.108463
Inkster	0.0956628
Webb	0.0831844
Sorenstam	0.0605052
Davies	0.0592244
Neumann	0.0587358
"Jim Colbert"	0.0585856
Chuasiriporn	0.0578974
"Steve Pate"	0.0546872
Maruyama	0.0530124
"Jenny Chuasiriporn"	0.0483218
"Jay Sigel"	0.047736
"Dinah Shore"	0.0476592
Ozaki	0.0474153
"Bruce Fleisher"	0.0454392
Sautin	0.0454246
Scelzi	0.0436545
Furyk	0.0435285
Nicol	0.0426289
"Nikki McCray"	0.0421884
Kipketer	0.0420671
blinker	0.0415289
"Brian Watts"	0.0410303
Morceli	0.0401592
Inman	0.0400171
))
(branding (desc 5499.51) (sims
"sales promotion"	0.116754
merchandising	0.102365
"tax avoidance"	0.0998311
marketing	0.086924
"cost cutting"	0.0855026
"damage control"	0.0801253
PR	0.0792693
hedging	0.0716593
"product development"	0.0691193
bundling	0.0673271
"strategic planning"	0.0640221
sponsorship	0.0628475
usability	0.0621176
diversification	0.0604417
networking	0.0597006
containment	0.0586421
publishing	0.0585828
retailing	0.0581148
packaging	0.0580518
collaborative	0.0572887
medium-term	0.057113
five-point	0.0559898
declassification	0.0559638
counterterrorism	0.0555933
"business development"	0.0554204
computing	0.0553499
fumigation	0.0552437
pricing	0.0550657
public-relations	0.0546856
"customer service"	0.0545653
outreach	0.0545011
"deficit reduction"	0.0536524
"marketing program"	0.0536285
"marketing effort"	0.0533159
e-business	0.0527155
"conflict resolution"	0.052634
unionization	0.0525262
"quality control"	0.0519322
Clinton-Gore	0.0517943
diversity	0.0515874
"computer operation"	0.0511449
arbitrage	0.0511287
"family planning"	0.0510552
gratification	0.0509139
abatement	0.0508086
ecotourism	0.0508056
profitability	0.0503343
warehousing	0.0502314
multimedia	0.0501142
logistics	0.0499185
ergonomics	0.0496556
filtering	0.0495667
governance	0.0493089
deterrence	0.0489124
realignments	0.0488906
amplification	0.0487581
"big picture"	0.048118
recruitment	0.048083
connectivity	0.0480588
telemarketing	0.0477985
coaching	0.0477135
"Joe Camel"	0.0476193
intranet	0.0475018
rectification	0.0472253
go-slow	0.0469399
imaging	0.0468114
eradication	0.0468009
interdiction	0.0466142
"detective work"	0.0464626
practicality	0.0464465
six-point	0.0461794
"information technology"	0.0461677
reemployment	0.0461058
"genetic engineering"	0.0460454
"bond trading"	0.046023
healthcare	0.0460006
grassroot	0.0459322
"sound bite"	0.0458863
refining	0.0457406
signage	0.0456947
"marketing campaign"	0.045615
literacy	0.0453756
consolidation	0.0453394
retention	0.0452466
"interior decoration"	0.0451028
"eminent domain"	0.0449901
embracing	0.0449412
teamwork	0.0447689
computerization	0.0443361
nutrition	0.0441624
divestiture	0.0441315
landscaping	0.044112
nuts-and-bolts	0.0440345
enhancement	0.0440286
beautification	0.0439868
personalization	0.0437547
decoding	0.0437302
p.r	0.0437292
standardization	0.0436894
"common sense"	0.0436685
"user interface"	0.0436519
lastest	0.0435053
placement	0.0434763
temp	0.0433745
"tax collection"	0.0432473
telephony	0.0432268
editing	0.0432027
"Chris Berman"	0.0431773
buyback	0.0431138
scheduling	0.0431074
Concealment	0.0429049
conservation	0.0427937
clout	0.0424756
assimilation	0.0423971
extermination	0.0421811
motherboards	0.0421719
"financial condition"	0.0421491
industrialization	0.0421325
downsizing	0.0421284
"computer graphics"	0.0419858
weight-loss	0.0419323
broadband	0.0418013
Repositioning	0.0417859
zoning	0.0417657
divestment	0.0417464
housekeeping	0.0417186
corpus	0.0416678
B@B	0.0416652
"tax policy"	0.0415921
nonproliferation	0.0412291
reinvention	0.0412085
reorganization	0.0411887
triage	0.0411755
leasing	0.0411148
bandwidth	0.0410962
dynamics	0.0410625
"life cycle"	0.0409981
consultancy	0.0409695
"word of mouth"	0.0409632
"population control"	0.0409362
remediation	0.0408957
"distribution network"	0.04071
sensing	0.0406378
makeover	0.0405316
camaraderie	0.0404955
mind-set	0.0404917
"psychological warfare"	0.0404743
pan-African	0.0404436
"R&AMP;D"	0.0404144
printing	0.0402466
two-decade	0.0402018
babysitting	0.040168
"child care"	0.04011
"fiber optics"	0.0400513
intimacy	0.0400281
))
(Brando (desc 1526.29) (sims
"Marlon Brando"	0.118714
"Henry Fonda"	0.0968689
Bacall	0.0601141
lassie	0.0585578
Postel	0.0572565
"Bette Davis"	0.054405
"James Cagney"	0.0522362
Paulie	0.0513632
"Marilyn Monroe"	0.0499541
superhero	0.0494068
Reinhardt	0.0470594
Sepracor	0.0461279
"John Lennon"	0.0457652
Biffle	0.0454826
Anand	0.0450618
"Audrey Hepburn"	0.0438109
"Amazing Grace"	0.0435276
Blanchett	0.0434457
"Streetcar Named Desire"	0.0426598
"Laurence Olivier"	0.0425543
"Night Live"	0.041821
PCI	0.0411141
"John Wayne"	0.0407557
"Tracey Ullman"	0.040395
Chardin	0.0402447
))
(Brandon (desc 8962.91) (sims
Joshua	0.119551
Eric	0.0972891
Matthew	0.0922806
Zachary	0.0895665
Steven	0.0890083
Tyler	0.0869405
Primeau	0.08693
MARBURY	0.0864826
Wyatt	0.0859356
Nicholas	0.0834049
Derek	0.0829747
Michael	0.0820158
Justin	0.0818183
Theo	0.0816307
Hardaway	0.0816042
Daniel	0.081543
Luke	0.0799544
Brett	0.079381
Duchesne	0.078874
Jacob	0.0784526
Jessica	0.0780243
Stoudamire	0.0776849
Terry	0.0772034
Jamie	0.0766314
Emily	0.0760746
Ceballos	0.0759276
Szczerbiak	0.0758157
Ken	0.0754295
Kenny	0.075422
Roger	0.074692
Blaylock	0.0746363
Gugliotta	0.0743424
Peter	0.0740616
Anthony	0.0737925
Adam	0.0737603
Odom	0.0736005
Evan	0.0732535
Holdsclaw	0.0732433
Danny	0.0732384
Chris	0.0731297
Alexandra	0.0727487
Walter	0.0727073
Owen	0.0726679
STUART	0.0723858
David	0.0723017
Joey	0.0719862
Kyle	0.0718396
Tim	0.0717461
Trevor	0.0714993
Simon	0.0713458
Benjamin	0.0710802
Barry	0.0709079
Liam	0.0705806
Blake	0.0703351
Stephen	0.0701695
duncan	0.0700855
Josh	0.0699801
"Van Exel"	0.0698932
Larkin	0.06973
Clayton	0.0696519
Ryan	0.0693237
Richard	0.0691928
Jonathan	0.0691426
Carl	0.0690584
Kevin	0.0690489
McDyess	0.0686237
Bryant	0.0685756
Brian	0.0685386
Vladimir	0.0684977
Robbie	0.0684799
Kukoc	0.0683065
Baerga	0.068153
Andrew	0.0679549
Alex	0.0678599
Ted	0.0674918
Patrick	0.0673384
Ben	0.0672493
Pippen	0.0669644
Kathryn	0.066871
Albert	0.0666414
William	0.0665695
Fleury	0.0661069
Paul	0.0659681
Shannon	0.0651597
Leslie	0.0651589
Thomas	0.0651139
Laura	0.0649394
Robert	0.0648683
Jake	0.0647567
Ian	0.0646826
Sarah	0.0644797
Ashley	0.0644534
Julian	0.0641959
Finley	0.0640942
Billy	0.0640353
Susan	0.0638603
Sean	0.063846
Christopher	0.0637784
ALLISON	0.0636597
Samantha	0.0636208
Scott	0.0635913
Marc	0.0635297
Laettner	0.0634532
Cody	0.0632992
Connor	0.0631964
Cameron	0.063181
Andy	0.0631709
Jennifer	0.0631688
Hornacek	0.0631383
Kidd	0.0629356
Jill	0.0628709
Jimmy	0.0628487
Gary	0.0626589
Drew	0.0626066
Johnny	0.0624738
Avery	0.0622541
Cindy	0.0619531
Sara	0.0618838
Jason	0.0617856
Molly	0.0617743
Steve	0.0616839
Henry	0.0615832
Geiger	0.0615465
Iverson	0.0613726
Helen	0.0613322
Jackie	0.0612758
Amanda	0.0612037
Tommy	0.0611196
Odai	0.0610928
Donnie	0.0610574
Noah	0.0610045
Jeremy	0.0609417
Lindros	0.0609004
Garrity	0.0608362
Samuel	0.0607162
Beverly	0.0606414
Hollandsworth	0.0605611
matt	0.0604934
Schrempf	0.0603847
Isaac	0.0603332
Swann	0.0602649
Philip	0.0602555
Katie	0.0600718
Juan	0.0599084
Joseph	0.0598348
Woodson	0.0597351
JonBenet	0.0595127
Aaron	0.0594821
Jeb	0.0594506
Erin	0.0593324
Carter	0.0592298
Corey	0.0592199
Burke	0.059173
Ronald	0.0589587
Amy	0.0589513
Marvin	0.0587747
Arthur	0.0587212
Andre	0.0587198
Forrest	0.058632
Beltre	0.0586295
Nowitzki	0.058545
Olajuwon	0.0585216
Bobby	0.0584796
Eddie	0.0584781
Ali	0.0583836
Fortson	0.0583529
Charlie	0.0582397
Casey	0.0582184
Randy	0.0581446
Callie	0.0580909
Beth	0.0579133
Brock	0.0578735
Dominic	0.0577799
Bryan	0.0577151
Szabo	0.0575879
Jeffrey	0.0575719
El-Amin	0.0573942
Michele	0.0572276
Faulk	0.0571609
Damon	0.0570805
Raines	0.0570089
Carlos	0.05689
Shane	0.0568708
Hannah	0.0568481
Alan	0.0567996
"George W."	0.0567432
Lance	0.0565745
Mercer	0.0565297
Marcus	0.0564941
Rachel	0.0564578
Gant	0.0563708
Robin	0.0563295
Natalie	0.0562653
Erica	0.0562579
"Eric Snow"	0.0562215
Perrot	0.0561031
Elliott	0.0560647
Jesse	0.0560046
"Matthew Eappen"	0.0559909
Wayne	0.0559904
))
("Brandon Granville" (desc 1229.58) (sims
"Sam Clancy"	0.335163
"Jeff Trepagnier"	0.281319
"Brian Scalabrine"	0.256985
"Darrick Martin"	0.19914
"Sultan McCullough"	0.185034
"Eric Snow"	0.174561
"Michele Timms"	0.172465
"Erick Barkley"	0.170777
"Ryan Bailey"	0.169744
"Wayne Turner"	0.168033
"Brevin Knight"	0.166423
"David Wesley"	0.165986
"Michael Redd"	0.163912
"Ray Young"	0.163529
"Khalid El-Amin"	0.161279
"Billy Knight"	0.155965
"Carson Palmer"	0.155789
"Travis Best"	0.150528
"Jason Williams"	0.144882
"Kim Perrot"	0.142682
"Scoonie Penn"	0.14071
"Mike Van Raaphorst"	0.135927
"Richard Jefferson"	0.13498
"Darrell Armstrong"	0.132905
"Earl Watson"	0.132796
"Michael Wright"	0.132038
"Ukari Figgs"	0.130583
"Anthony Johnson"	0.128554
"Robert Pack"	0.12832
"Quincy Carter"	0.127823
"Larry Hughes"	0.127649
"Ken Kocher"	0.127256
"Eric Murdock"	0.126542
"Bobby Newcombe"	0.126357
"Eddie House"	0.126281
"Jason Kapono"	0.125791
"Nikki McCray"	0.125189
"Matt Santangelo"	0.124864
"Sherman Douglas"	0.12325
"Kareem Kelly"	0.122906
"Andre Miller"	0.122749
"Greg Anthony"	0.12206
"Bobby Phills"	0.12104
"Teresa Weatherspoon"	0.120342
"B.J Armstrong"	0.119715
"Mark Jackson"	0.119005
"Mike Bibby"	0.118677
"Howard Eisley"	0.118632
"Steve Nash"	0.118527
"Randy Brown"	0.117482
"Charlie Ward"	0.115892
"Mookie Blaylock"	0.115045
"Sam Cassell"	0.114095
"Brent Price"	0.112903
"Avery Johnson"	0.112841
"Mark Williams"	0.112471
"Michael Finley"	0.112381
"Bimbo Coles"	0.111509
"Chris Simms"	0.111197
"Heath Irwin"	0.110885
"Baron Davis"	0.110795
"Gene Williams"	0.110653
"Dawn Staley"	0.109081
"Jermaine Lewis"	0.109035
"Derek Fisher"	0.109034
"Rico Hines"	0.108773
"Bryce Drew"	0.108454
"Tariq Abdul-Wahad"	0.108397
"Kenny Anderson"	0.107535
"Shammond Williams"	0.107085
"Terrell Brandon"	0.106847
"Doug Christie"	0.106603
"Rod Strickland"	0.106444
"William Avery"	0.1062
"Jason Terry"	0.105472
"Kevin Johnson"	0.105264
"Jamal Mashburn"	0.104938
"Chad Morton"	0.10462
"John Stockton"	0.104497
"Eric Piatkowski"	0.103842
"Dana Barros"	0.10321
"Tamika Catchings"	0.102274
"Chauncey Billups"	0.102005
"Derek Harper"	0.101939
"Voshon Lenard"	0.101361
"Mike Miller"	0.100829
"Ricky Moore"	0.100558
"Ryan McCann"	0.100299
"Major Applewhite"	0.100079
"Tim Hardaway"	0.0999026
"Bob Sura"	0.0998817
"Francisco Cordova"	0.09984
"Hu Weidong"	0.0989136
"Tyronn Lue"	0.0978726
"Kerry Kittles"	0.097514
"Damon Stoudamire"	0.0972471
"Kris Clack"	0.0970314
"Ron Harper"	0.096829
"Cory Paus"	0.0967263
"Nick Anderson"	0.0964478
"Jimmy Oliver"	0.0957781
"Jeff Hornacek"	0.0957512
"JaRon Rush"	0.0955479
"Penny Hardaway"	0.0955432
"Antonio Daniels"	0.0942788
"Bonzi Wells"	0.0933488
"Hubert Davis"	0.0922669
"Brent Barry"	0.0920785
"Ryan Kealy"	0.0920395
Toombs	0.0909633
"Mateen Cleaves"	0.090787
"Rex Chapman"	0.090405
"Matt Maloney"	0.0902633
"Kevin Hartman"	0.0897885
"Courtney Alexander"	0.0897586
"DeShaun Foster"	0.0895095
"five @-pointers"	0.0894541
"Chris Childs"	0.0884835
"Hersey Hawkins"	0.0880109
"Nick Van Exel"	0.0878193
"Dan Gadzuric"	0.0877951
"Sam Mack"	0.0872592
"Cynthia Cooper"	0.0867326
"John Fox"	0.0865273
"Seth Etherton"	0.0861606
"Steve Francis"	0.0858601
"Everett McIver"	0.0857853
"Drew Henson"	0.085449
"Lamar Odom"	0.0851737
"Michael Dickerson"	0.0848094
"Stephon Marbury"	0.0845247
"Marcell Allmond"	0.0844064
"Matt Barnes"	0.0842084
Timms	0.0831639
"Reggie Miller"	0.0831068
"Michael Vick"	0.0830588
El-Amin	0.0826948
"Marcus Outzen"	0.0822323
"Jim Jackson"	0.0815921
"Jarvis Turner"	0.0814348
"Damian Jackson"	0.0812066
STALEY	0.0809427
"Dale Ellis"	0.0806205
"Malik Sealy"	0.080067
"Dion Glover"	0.0794596
Scoonie	0.0794595
"Terry Porter"	0.0794037
"Alan Henderson"	0.0791843
"R. Jay Soward"	0.0778665
"Jerome Moiso"	0.0778552
"Mitch Richmond"	0.0777335
"Corey Maggette"	0.0776973
"P.J Brown"	0.0776144
"Jaren Jackson"	0.0775786
"Vernon Maxwell"	0.0773091
"Chris Claiborne"	0.0773075
"Bruce Bowen"	0.0765076
"Shawn Estes"	0.0765058
"Aaron Williams"	0.076268
"Todd Husak"	0.0761219
"Anfernee Hardaway"	0.0760686
"Jason Kidd"	0.0759331
"Brian Shaw"	0.0756977
"Cuttino Mobley"	0.0752925
"Russ Ortiz"	0.0744357
Sundin	0.0738533
"Brook Fordyce"	0.0738357
"Russ Johnson"	0.0733865
"Gary Payton"	0.073075
"Chris Gomez"	0.0728092
"Flozell Adams"	0.0726828
"Joe Dumars"	0.072607
"Isaiah Rider"	0.0721191
Andreychuk	0.071693
"Dan Majerle"	0.0715477
"Derek Anderson"	0.0714357
Dellucci	0.0713804
"Jennifer Gillom"	0.0713062
"Walt Williams"	0.0706559
DiSarcina	0.0705465
"Mario Elie"	0.0705146
"Nate Newton"	0.0704567
Scalabrine	0.0704428
"Luis Alicea"	0.0701494
Rolen	0.0699004
"Kobe Bryant"	0.0698774
"Larry Allen"	0.0698531
"Doug Pederson"	0.0697072
"Shandon Anderson"	0.0694357
"Jeff Weaver"	0.069372
Gervin	0.0693466
"Eric Owens"	0.0691633
"Ray Allen"	0.0687755
"Bruce Matthews"	0.0686169
"Ulf Kirsten"	0.0682981
"Allen Iverson"	0.0682557
Trepagnier	0.0677058
"Steve Smith"	0.0676634
"Jerry Stackhouse"	0.06765
"Trevor Kidd"	0.0676328
))
("Brandon Mitchell" (desc 1931.21) (sims
"Ferric Collons"	0.361101
"Henry Thomas"	0.348182
"Willie McGinest"	0.328545
"Chad Eaton"	0.316814
"Steve Israel"	0.189868
"Bruce Armstrong"	0.179162
"Pete Holland"	0.17453
"Cortez Kennedy"	0.173933
"Michael Myers"	0.173457
"Jason Taylor"	0.169998
"Sam Adams"	0.167663
"Chris Slade"	0.167259
"Tony Hutson"	0.164933
"Heath Irwin"	0.163005
"Tebucky Jones"	0.161136
"Trace Armstrong"	0.16047
"Tedy Bruschi"	0.160377
"Chad Hennings"	0.16014
"Dimitrius Underwood"	0.160095
"Aaron Williams"	0.154586
"Courtney Brown"	0.153209
"Todd Collins"	0.152919
"Lester Archambeau"	0.149754
"Alonzo Spellman"	0.14895
"John Randle"	0.148652
"Charles Haley"	0.142164
"Bryant Young"	0.138237
"Ted Johnson"	0.137203
"Warren Sapp"	0.136928
"Greg Ellis"	0.136691
"Flozell Adams"	0.133734
"Solomon Page"	0.133122
"Michael Strahan"	0.129097
"Ty Law"	0.127382
"Derrick Alexander"	0.127338
"Vincent Brisby"	0.125544
"Ebenezer Ekuban"	0.122927
"Mike Jones"	0.120522
"Neil Smith"	0.120342
"Shane Dronett"	0.117684
"Chuck Smith"	0.113071
"Andre Wadsworth"	0.112646
"Mark Tuinei"	0.112078
"Bobby Hamilton"	0.11123
"Tony Simmons"	0.110784
"Howie Long"	0.110093
"Ephraim Salaam"	0.10992
"Jumbo Elliott"	0.1099
"Larry Whigham"	0.109072
"Chris Canty"	0.108897
"Travis Hall"	0.10888
"Eric Swann"	0.107629
"Robert Edwards"	0.106496
"Tony Graziani"	0.10608
"Jason Fabini"	0.104627
"Willie Clay"	0.103741
"Lomas Brown"	0.102428
McGinest	0.102425
"Simeon Rice"	0.101734
"Kavika Pittman"	0.101409
"Michael Booker"	0.0990306
"Leon Lett"	0.0938674
"Mark Smith"	0.0937254
"Dana Stubblefield"	0.0916916
Farr	0.091417
"John Tait"	0.0895557
"Bruce Smith"	0.0892751
"Erik Williams"	0.088258
"Tony George"	0.0882146
"Orlando Brown"	0.0874956
"Shawn Jefferson"	0.0868386
"Reggie White"	0.0850333
"L.J Shelton"	0.0842246
"Kevin Faulk"	0.0834954
"JEVON KEARSE"	0.0834471
"Ken Kocher"	0.0820408
"Jeff Ogden"	0.0800907
"Bob Whitfield"	0.0798741
"Andy Katzenmoyer"	0.077812
"Max Lane"	0.0736131
"Chris Carter"	0.0727963
"Todd Rucci"	0.0725144
"Kris Farris"	0.0709261
"Larry Allen"	0.0702876
"Dwayne Goodrich"	0.0700357
"Terry Glenn"	0.069022
"Dave Wohlabaugh"	0.0670229
"Sedrick Shaw"	0.066893
Slade	0.0662128
"Brock Huard"	0.0659532
"Champ Bailey"	0.0657191
"Bruce Matthews"	0.0645855
"James Jones"	0.0635307
"Tyronn Lue"	0.0614836
"Scott Zolak"	0.0611842
"Keith Brooking"	0.0609124
"John Avery"	0.060827
"Kevin Mathis"	0.0602517
"Otis Smith"	0.0602221
"Tim Dwight"	0.0600162
"Robert Thomas"	0.0592248
"Everett McIver"	0.0571576
"Manny Fernandez"	0.0564494
"Shaun King"	0.055885
"Brian Griese"	0.0554545
"Terry Allen"	0.0553485
"Bonzi Wells"	0.0545848
"Damien Woody"	0.0544949
"Jim Druckenmiller"	0.0541529
"Todd Husak"	0.0539356
"Nate Newton"	0.0530057
"Chris Crawford"	0.052895
"Eric Davis"	0.0524245
"Byron Hanspard"	0.0524048
"Charlie Batch"	0.0520548
"Juha Ylonen"	0.0511598
"Jelani McCoy"	0.0511238
"Henri Crockett"	0.0511157
"Dave McGinnis"	0.0507788
"Scot Pollard"	0.0499107
"Antoine Carr"	0.0492645
"Michael Bishop"	0.0491242
"Rich Brooks"	0.0490551
"Michael Olowokandi"	0.0487736
"Kenyon Martin"	0.048606
"Jarvis Turner"	0.0482266
"Al Groh"	0.0481552
Milloy	0.0480584
"Wane McGarity"	0.0470086
"Tony Phillips"	0.0469128
"Daunte Culpepper"	0.0465515
"Ben Coates"	0.0460673
"Jeff Brantley"	0.0452171
"Dave Campo"	0.0451361
"Fred Taylor"	0.0450747
"John Fox"	0.0438474
"Dick Jauron"	0.0438251
"Zydrunas Ilgauskas"	0.0435849
"Rashard Lewis"	0.0433718
"Damon Huard"	0.0428584
"Kris Clack"	0.0428164
"Troy Brown"	0.0428104
"Dennis Johnson"	0.0422485
"Vin Scully"	0.0422053
"line coach"	0.0421717
"Greg Anthony"	0.0418766
"Kevin Hartman"	0.0409038
Atler	0.0407507
"Cuttino Mobley"	0.0407156
"Pete Carroll"	0.0403602
"Al Michaels"	0.0402465
))
(Brandt (desc 1433.96) (sims
Fleischer	0.158744
Hybl	0.130565
Finkel	0.123699
Rubenstein	0.11946
Weisman	0.114358
Cowan	0.111888
Rendell	0.110749
Iglesias	0.110273
Ruehe	0.109065
Siegel	0.109047
Zuckerman	0.108605
Heinrichs	0.107592
Bergeron	0.106743
Rollins	0.106465
Ebersol	0.104989
Talebi	0.104524
Gullikson	0.103399
Walesa	0.102984
Segal	0.102161
Manley	0.101714
Weil	0.100916
Ainge	0.100802
Grossman	0.100214
Solis	0.100182
Lowry	0.0999223
Reiner	0.0985064
Valenti	0.0984349
Passarella	0.0983273
Piot	0.0982893
Wald	0.0978943
Jaffe	0.0970907
Wenger	0.0969975
Pollack	0.0968338
Nickerson	0.0962265
"Jack Valenti"	0.0961206
Gaston	0.0953148
Gossage	0.0952444
McCurry	0.0951227
Paxon	0.0950457
Ftorek	0.0948587
Silverstein	0.0946949
Fernandes	0.0942832
Poole	0.0937211
Okada	0.0935998
Rutherford	0.0935804
Moakley	0.0935055
Lessig	0.0926948
Hanna	0.0918916
Gogel	0.0918238
Andreychuk	0.0917765
beamer	0.0916007
Ulrich	0.0912543
DiCicco	0.0906507
Duffy	0.0904941
Menino	0.089625
Insulza	0.0895776
"administration official"	0.0893783
Diouf	0.0893121
Inman	0.0890891
Polian	0.0890789
Eizenstat	0.0889556
Strauss-Kahn	0.0887408
Bodine	0.0887194
Auriemma	0.0887178
Keller	0.0883234
Zwick	0.0883015
Ganassi	0.0882662
Copeland	0.0881193
Robson	0.0877183
Jayakumar	0.0876378
Butterworth	0.0875645
Sommer	0.0874528
Sheehan	0.0873793
McGuire	0.087154
Newcombe	0.0871147
Bratton	0.0870724
Rossotti	0.0870443
Azizah	0.0865321
McNamara	0.0865098
Zambrano	0.0862619
Meyers	0.0857982
Henley	0.0855984
Schmid	0.0854669
Byrne	0.0854335
Prewitt	0.0854219
Menard	0.0850909
Donohue	0.0849353
Singson	0.0846939
Ruggiero	0.084491
Ferrer	0.0843972
Coen	0.0835913
Narayanan	0.0834458
Cronin	0.0833031
McCarron	0.0832036
Braswell	0.08316
Fagan	0.0829873
Shamshad	0.08295
Molinari	0.0824781
Wilhelm	0.0824383
Troussier	0.0821507
Rosenthal	0.0819865
Geiger	0.0819691
Behr	0.0819674
Sahadi	0.0815766
Clements	0.0813866
Kostov	0.0813393
Cashman	0.0813321
Joklik	0.0812226
Juppe	0.0812096
Falk	0.0812034
Erwin	0.0811555
Goossen	0.0811436
Engelberg	0.081112
Bingham	0.0810395
Barlow	0.0809853
Rau	0.0808195
Hickman	0.0806938
Scharping	0.0805858
Donahue	0.0805742
Vogel	0.080404
Holl	0.0803593
Constantine	0.0801374
Hunsicker	0.0797141
Strahan	0.0795113
Skiles	0.0794922
Atwood	0.0793113
Bettman	0.079261
O'Neil	0.0792277
Wadsworth	0.0791947
Siazon	0.0791168
Rahal	0.0790505
COYNE	0.0790206
Osborne	0.0788684
Hirsch	0.0788635
Ness	0.0785586
Sherrill	0.0782273
TALBOT	0.0779014
"De la Cruz"	0.0777264
Krugman	0.0777187
Tomey	0.0775539
Tuberville	0.0773674
Sassa	0.0772622
Advani	0.0772547
Davidson	0.0771136
Jacquet	0.076873
Lockhart	0.0768163
Herron	0.0766745
Culpepper	0.0766256
Meissner	0.0765494
Shapiro	0.0763426
Aventajado	0.0762255
Godfrey	0.0761511
Hoddle	0.0759669
Seanez	0.0758871
Morgenthau	0.0757992
Guthridge	0.0757939
Grasso	0.0757809
Garces	0.0757559
Berman	0.0757131
Fuentes	0.0756598
Winkler	0.0754659
Beilin	0.0754566
Zadornov	0.0754178
Sobel	0.0753968
Mendez	0.0751907
Setzer	0.0751846
Kaye	0.0751362
JONAS	0.0750158
estes	0.0748767
Soyinka	0.0748713
Barron	0.0748239
O'Malley	0.0748143
McInnis	0.0747595
Soto	0.0745722
Pam	0.0745595
Ikimi	0.0745367
Lipponen	0.074371
Braun	0.0743508
Atler	0.0743245
Auerbach	0.0742772
Mustafa	0.074203
Solich	0.0738835
Aguirre	0.0738489
Zucker	0.073797
Lockyer	0.0737338
Babcock	0.0736296
Bruton	0.0735457
Moser	0.0734902
Kelleher	0.0734818
Dewine	0.0733565
Echols	0.0732101
Leghari	0.0731803
Foudy	0.0731361
D'Alessandro	0.0731011
Raitt	0.07309
Reimer	0.0729757
Ratner	0.07293
Zou	0.0726367
Murrell	0.0725891
Jobe	0.0724821
))
(brandy (desc 15858.4) (sims
liqueur	0.1989
Cognac	0.194752
rum	0.19427
vodka	0.174033
whiskey	0.167452
bourbon	0.167385
whisky	0.158809
tequila	0.149762
"orange juice"	0.14923
vinegar	0.144699
"Grand Marnier"	0.143714
scotch	0.138548
"cider vinegar"	0.138115
"white wine"	0.135904
sherry	0.135254
cider	0.130977
"red wine"	0.127581
"soy sauce"	0.124036
"maple syrup"	0.123983
"lime juice"	0.122392
"pineapple juice"	0.121744
wine	0.121209
"wine vinegar"	0.120876
gin	0.120133
"lemon juice"	0.118452
"cranberry juice"	0.11796
champagne	0.116861
"tomato juice"	0.116691
syrup	0.116205
"apple juice"	0.115642
Calvados	0.112872
"chili sauce"	0.110579
juice	0.110357
"brown sugar"	0.108283
"peanut oil"	0.107618
"heavy cream"	0.105636
"Britney Spears"	0.102556
"coconut milk"	0.102556
"whipping cream"	0.101406
"mineral water"	0.100917
liquor	0.100854
vanilla	0.100471
cornstarch	0.100339
molasses	0.0992792
"Mariah Carey"	0.0982233
"Dom Perignon"	0.0979823
vermouth	0.0977054
honey	0.0968747
buttermilk	0.0968
"corn syrup"	0.0945339
nectar	0.0943114
"olive oil"	0.0938058
Beer	0.0936806
ketchup	0.0922983
Cher	0.0921049
sugar	0.0920179
butter	0.0903994
"Celine Dion"	0.0900628
"sesame oil"	0.0899342
"chicken stock"	0.089507
lemonade	0.0893447
"Whitney Houston"	0.0892807
"ginger ale"	0.0886999
"barbecue sauce"	0.0882838
margarine	0.0877272
"orange zest"	0.08732
"Worcestershire sauce"	0.0866119
espresso	0.0858212
"evaporated milk"	0.0852075
"hot chocolate"	0.0849734
"tomato paste"	0.0849161
half-and-half	0.0848112
ginger	0.0846111
"beef broth"	0.0845003
"Christina Aguilera"	0.0843994
"sour cream"	0.0843115
"fruit juice"	0.0838834
soda	0.083554
"Sheryl Crow"	0.0834353
preserves	0.0833761
"iced tea"	0.0829687
"curry powder"	0.0829659
raisin	0.0823197
allspice	0.0822332
milk	0.0819277
mustard	0.0818757
"vegetable oil"	0.0818347
"almond extract"	0.0816264
chutney	0.0815187
yogurt	0.0814985
"sparkling wine"	0.0807447
cream	0.0807295
cocoa	0.0803989
almond	0.0795966
"Ricky Martin"	0.0793451
shallot	0.0792458
"Shania Twain"	0.0789878
sauce	0.0783335
cola	0.078199
"lemon zest"	0.077996
broth	0.0779895
flavoring	0.076303
drink	0.0761449
Chianti	0.0760479
puree	0.0750614
"Janet Jackson"	0.0748092
raspberry	0.0744167
parsley	0.0741971
"vanilla extract"	0.0741749
jelly	0.0739688
cinnamon	0.0736353
horseradish	0.0735094
"orange marmalade"	0.0733218
"peanut butter"	0.0732092
"green tea"	0.0729484
"Lauryn Hill"	0.0727357
"chicken broth"	0.0726151
Madeira	0.0724308
mayonnaise	0.0721705
Chardonnay	0.0721384
"ice water"	0.072072
thyme	0.0715751
"baking powder"	0.0715373
chocolate	0.0715198
cilantro	0.0710994
"chili powder"	0.0703963
hazelnut	0.0701126
pecan	0.0699288
tea	0.0699016
Liquid	0.0697724
"tomato sauce"	0.0697508
shortening	0.0695849
"LeAnn Rimes"	0.0695793
bubbly	0.0695639
cheese	0.0693185
"Tina Turner"	0.0692059
coffee	0.0689234
salt	0.0689018
"Andrea Bocelli"	0.0685891
"skim milk"	0.068365
"ice cream"	0.0683561
"Jennifer Lopez"	0.0673707
grappa	0.0672361
flour	0.0672358
Garlic	0.0671743
"root beer"	0.0671547
"hot sauce"	0.0671411
Madonna	0.0671093
"hoisin sauce"	0.0670965
cappuccino	0.0667638
"N Sync"	0.0663108
"Mary J. Blige"	0.0659851
"baking soda"	0.0659663
"grapefruit juice"	0.0659303
Bjork	0.0658487
marmalade	0.0657882
stout	0.0655171
"blue cheese"	0.0653894
"pine nut"	0.0653095
mint	0.0651512
currant	0.0650961
"Pinot noir"	0.0650004
coconut	0.0649232
cornmeal	0.0642565
peppercorn	0.0641515
"Barbra Streisand"	0.0640486
Seltzer	0.064043
"Diana Ross"	0.0639966
"R. Kelly"	0.0637419
dill	0.0636674
paprika	0.063625
sorbet	0.0634876
tarragon	0.0630926
beverage	0.0627961
"Garth Brooks"	0.0627252
Zinfandel	0.062094
"coriander seed"	0.062057
"egg yolk"	0.0618286
Cigar	0.0615748
rosemary	0.0614527
lime	0.0614288
lemon	0.0612736
"soft drink"	0.0612697
Riesling	0.0610896
"lemon peel"	0.0610496
caviar	0.0609185
"alcoholic beverage"	0.0607127
spice	0.0606762
apricot	0.0601751
Monica	0.0601122
custard	0.060109
"sesame seed"	0.0600556
brew	0.0600012
"Elton John"	0.059999
TLC	0.0594333
perfume	0.059217
Martini	0.0589717
onion	0.058649
merlot	0.0583803
soup	0.0583376
))
(Branson (desc 6283.09) (sims
"Richard Branson"	0.171428
"Jefferson City"	0.0997845
"Crystal City"	0.085682
Zarb	0.0843292
"Steve Fossett"	0.0768247
balloonist	0.0686198
Fenton	0.0685786
Ka-shing	0.0681867
Chesterfield	0.0640372
"Kansas City"	0.0636572
Joplin	0.0635711
Ebersol	0.062559
Cayard	0.0614991
"Santa Fe"	0.0614089
Fossett	0.0605817
Piot	0.0604543
Kearney	0.0604304
Ruehe	0.0600656
Mansfield	0.0587232
"Fort Worth"	0.0579179
Murdoch	0.0569142
Naumann	0.0568665
Isner	0.0566007
L.A	0.0559188
Cameron	0.0556983
Wald	0.0556414
Azizah	0.0554757
Jasper	0.0554503
Springfield	0.0554302
Schmid	0.0552168
Dragila	0.0551155
Weimar	0.0551005
"Boris Berezovsky"	0.054944
Nashville	0.0547776
WARSAW	0.0546795
Koo	0.054557
Guthridge	0.0544549
Kasoulides	0.0544158
"Santo Domingo"	0.0536771
Uliassi	0.0536686
Sherrill	0.0534334
Zito	0.0532175
Westwood	0.0529622
Goodwin	0.052825
"Overland Park"	0.0527457
"Palm Springs"	0.0524358
Orlando	0.05215
Verney	0.0520345
Kyprianou	0.0517571
Laughlin	0.0516339
Dalton	0.0515827
"Disney World"	0.051131
Summitt	0.0510744
"ST. Joseph"	0.0510105
Newport	0.0509365
Meriwether	0.0508413
"Cobb County"	0.0507294
Honolulu	0.0506708
Laredo	0.050647
Solich	0.050599
Solis	0.0505075
Stoyanov	0.0502748
Disneyland	0.0502162
Ganassi	0.0501689
Jaffe	0.0501052
Santiago	0.0500024
Cooperstown	0.0499624
"Little Rock"	0.0498061
Ebbers	0.0497804
Menard	0.0497513
Dolan	0.0497022
"Phnom Penh"	0.0496729
Hartford	0.0496294
"Jackson County"	0.0494935
Dushanbe	0.0493667
Columbia	0.0493094
McDonnell	0.0492823
Aventajado	0.0491819
"Atlantic City"	0.0491535
Greenwood	0.0491388
Lipponen	0.0491318
Babcock	0.0490363
Greenville	0.0489862
Falmouth	0.0489443
Williamstown	0.0488489
Lamar	0.0486842
Newhouse	0.0485347
Piccard	0.0485006
Koop	0.0484761
Taipei	0.0483736
Tbilisi	0.0482823
Klima	0.0482741
Tucson	0.048269
Juneau	0.0481639
"Tom Hicks"	0.0481566
Ellison	0.0481517
"Silvio Berlusconi"	0.0480679
Jeffords	0.0480299
Rodionov	0.048024
Tempe	0.0479048
Sheehan	0.0478347
Hodler	0.0477706
Rossotti	0.0477283
"West End"	0.0477245
Eisner	0.0477194
Kennard	0.0475416
Feng	0.0473908
Dodd	0.0473888
Richmond	0.0473736
Omaha	0.0473527
Andreychuk	0.0473415
Harmoko	0.0472856
Kessler	0.0471541
Pruett	0.047146
"Times Square"	0.0470902
Insulza	0.0470314
Chisinau	0.0469126
"Yosemite National Park"	0.0468072
"Mexico City"	0.0467713
Gladstone	0.046766
Surin	0.0467198
"San Antonio"	0.0465825
Dayton	0.0465371
Atwater	0.0464276
Robson	0.0463991
Finkel	0.0463255
"Holy Land"	0.0463148
Freeport	0.0462807
Lemieux	0.0462672
Clayton	0.0461941
Dublin	0.0461097
CARACAS	0.0460112
McConnell	0.0459997
Astana	0.0459974
Donohue	0.045994
"Michael Dell"	0.0459455
"Colonial Williamsburg"	0.0458652
"Robert Aventajado"	0.0457415
"Lucio Tan"	0.045719
beamer	0.045626
"Big Apple"	0.0456157
Guadalajara	0.0455169
Metroplex	0.0454726
Hagen	0.0452834
Vega	0.0452687
Nassau	0.0452549
ASHEVILLE	0.045234
BNFL	0.0452333
Qiao	0.0451986
"Rupert Murdoch"	0.0451897
Shays	0.0451158
Berlusconi	0.0450408
Fairbanks	0.0450296
Ekeus	0.0450289
Rahal	0.0450041
Lahore	0.0450022
Wenger	0.044971
Okada	0.044954
Krzyzewski	0.0449297
DiSarcina	0.0448976
Thurmond	0.0448973
Modise	0.0447571
Harlem	0.0447428
Grasso	0.0447226
McCurry	0.0446712
cain	0.0446558
Gillick	0.0446169
BOGOTA	0.0445425
Hahn	0.0444971
Greenberg	0.044459
Siazon	0.0443733
Columbus	0.0442964
prentice	0.0442285
Hirst	0.0442147
Vance	0.0441791
Velayati	0.044085
Manley	0.0440775
Hiddink	0.0440338
Isakson	0.0440162
Mendez	0.0440158
TALLAHASSEE	0.043964
Gerstner	0.0439484
Fulton	0.0439293
Savannah	0.0439011
"de Charette"	0.0438089
KIEV	0.0437639
Knapp	0.0437593
Hauser	0.0437565
Oxford	0.0437161
"James Barksdale"	0.0436919
Ainge	0.0436874
Rendell	0.0436753
Peng	0.0436683
Boles	0.0436629
Zimmerman	0.0435621
Joklik	0.0434292
Nateq-Nouri	0.043413
Moratinos	0.0434055
Diller	0.0433717
Kingston	0.0433421
))
("Brant Brown" (desc 2206.34) (sims
"Brian Giles"	0.299292
"Henry Rodriguez"	0.280015
"Jose Guillen"	0.276572
"Pat Meares"	0.26522
"Eric Owens"	0.252489
"Preston Wilson"	0.238961
"Matt Lawton"	0.238851
"Rondell White"	0.234713
"Al Martin"	0.233843
"Warren Morris"	0.230644
"Kevin Young"	0.229857
"Quinton McCracken"	0.228252
"Mark Kotsay"	0.224763
"Bruce Aven"	0.222861
"Juan Encarnacion"	0.216908
"Rich Becker"	0.209557
"Bubba Trammell"	0.208175
"Ron Gant"	0.203048
"Geoff Jenkins"	0.202034
"Jason Kendall"	0.199865
"Carlos Lee"	0.19952
"Lance Johnson"	0.196142
"Bobby Higginson"	0.19529
"Lance Berkman"	0.190405
"Mickey Morandini"	0.187502
"Ed Sprague"	0.186807
"Dmitri Young"	0.186531
"Enrique Wilson"	0.184906
"Johnny Damon"	0.184649
"Ray Lankford"	0.184528
"Damon Buford"	0.183499
"Danny Bautista"	0.181891
"Luis Polonia"	0.181844
"John Vander Wal"	0.181628
"Dante Bichette"	0.18123
"Richard Hidalgo"	0.179362
"John Mabry"	0.178867
"Ruben Rivera"	0.175012
"Jeff Conine"	0.174701
"Butch Huskey"	0.174419
"Glenallen Hill"	0.17434
"Carlos Beltran"	0.173565
"Shannon Stewart"	0.173546
"Jose Cruz Jr."	0.173103
Vidro	0.172987
"Matt Mieske"	0.172663
"Ben Grieve"	0.172261
"Matt Stairs"	0.171219
"Rob Ducey"	0.170907
"Rich Aurilia"	0.170592
"Benny Agbayani"	0.169909
"Marquis Grissom"	0.169902
"Darren Bragg"	0.169183
"Jay Payton"	0.16895
"Reggie Sanders"	0.168548
"Luis Gonzalez"	0.167691
"Jeromy Burnitz"	0.166867
"Dave Martinez"	0.166173
"Doug Glanville"	0.166098
"Trenidad Hubbard"	0.164493
"Brian McRae"	0.164461
"Bobby Abreu"	0.164383
"Peter Bergeron"	0.16391
"Orlando Palmeiro"	0.16288
"Mark Grace"	0.161468
"Cliff Floyd"	0.161385
"Terrence Long"	0.161307
"Brady Anderson"	0.160048
"Wil Cordero"	0.158536
"Jason McDonald"	0.158413
"Richie Sexson"	0.158407
"Jon Nunnally"	0.158221
"Bill Spiers"	0.157466
"Gabe Kapler"	0.157275
"Chad Curtis"	0.157113
"Stan Javier"	0.156798
"Roger Cedeno"	0.156689
"Jeffrey Hammonds"	0.156475
"Gary Gaetti"	0.156014
"Marty Cordova"	0.153812
"Brian Hunter"	0.153503
"Mark Loretta"	0.153223
"Vladimir Guerrero"	0.153002
"Darryl Hamilton"	0.152711
"Matt Luke"	0.152629
"Andruw Jones"	0.151911
"Alex Gonzalez"	0.150724
"Roberto Kelly"	0.150462
Bordick	0.1503
"Bernard Gilkey"	0.150146
"Russ Johnson"	0.149776
"Todd Hollandsworth"	0.149348
"Damian Miller"	0.14847
"Ellis Burks"	0.148321
Renteria	0.148021
"Jermaine Dye"	0.147446
"Marvin Benard"	0.147096
"Gerald Williams"	0.147055
"Mike Cameron"	0.14592
"Matt Franco"	0.144705
Lankford	0.144414
"Karim Garcia"	0.144367
"Derrek Lee"	0.144171
"J.D Drew"	0.143152
"Jay Buhner"	0.141167
Womack	0.140481
"Melvin Mora"	0.13992
"Jose Hernandez"	0.13865
"Jeremy Giambi"	0.138384
"Shawn Green"	0.138301
"Bill Mueller"	0.138085
"F.P Santangelo"	0.137993
"Brian Jordan"	0.137504
"Michael Tucker"	0.136872
"Gary Sheffield"	0.136147
Aurilia	0.136076
"Trot Nixon"	0.135651
"Raul Mondesi"	0.13531
"Tony Womack"	0.135282
"Mike Lansing"	0.135196
"Tim Salmon"	0.135049
"Mike Simms"	0.134992
"Midre Cummings"	0.13495
"Paul Konerko"	0.134791
"Raul Ibanez"	0.13394
"Lenny Harris"	0.133939
"Tom Goodwin"	0.133849
"Darren Lewis"	0.133281
"Tyler Houston"	0.132554
"Kenny Lofton"	0.132429
"B.J Surhoff"	0.132044
"Jeff Kent"	0.131444
"Garret Anderson"	0.131418
"David Ortiz"	0.130024
"Gregg Jefferies"	0.129476
"Deivi Cruz"	0.129037
"Rickey Henderson"	0.128252
"Joe Randa"	0.127689
"Ricky Ledee"	0.127133
"Jeff Cirillo"	0.12689
"Jose Vidro"	0.126668
"Tom Lampkin"	0.126373
Sexson	0.126244
"Darin Erstad"	0.126221
"Jason Giambi"	0.125586
"Steve Finley"	0.125457
Higginson	0.125116
Fullmer	0.125058
Burnitz	0.124828
"Magglio Ordonez"	0.124139
"Sean Casey"	0.123172
Bichette	0.123149
"Desi Relaford"	0.123007
"Scott Spiezio"	0.122857
"Troy O'Leary"	0.122521
"Rico Brogna"	0.122423
"Scott Rolen"	0.122296
"Daryle Ward"	0.121936
"Dave Hansen"	0.121438
"Tony Phillips"	0.121129
"David Dellucci"	0.121104
"Moises Alou"	0.121054
DeShields	0.12085
"Cristian Guzman"	0.120705
"Eddie Taubensee"	0.120609
"Dean Palmer"	0.120443
"Devon White"	0.119602
Cirillo	0.119429
"Joe McEwing"	0.119189
"Mike Sweeney"	0.119106
"Paul Bako"	0.118812
Konerko	0.118147
"Otis Nixon"	0.11698
McGriff	0.11686
Glaus	0.116792
"Jim Edmonds"	0.116371
"Chris Widger"	0.116047
Glanville	0.116007
"Tony Fernandez"	0.115581
"Derek Bell"	0.115516
"Jose Canseco"	0.11541
"Greg Vaughn"	0.115341
"Neifi Perez"	0.114474
"Ron Coomer"	0.11436
"Carl Everett"	0.114311
"Eric Karros"	0.114273
"Kelly Stinnett"	0.114229
"Todd Pratt"	0.113912
"Miguel Tejada"	0.113801
"Todd Greene"	0.113533
"Kirk Gibson"	0.113282
"John Jaha"	0.112748
"Damian Jackson"	0.112732
"J.T Snow"	0.11271
"Barry Bonds"	0.112535
"David Bell"	0.111938
"Todd Helton"	0.111897
Rolen	0.111859
"Phil Nevin"	0.111812
"Ray Durham"	0.111683
"Miguel Cairo"	0.111544
Batista	0.111138
Hatteberg	0.110856
"Rusty Greer"	0.110466
Abreu	0.110396
Karros	0.110188
"Bernie Williams"	0.11006
Surhoff	0.10998
"Mike Lieberthal"	0.109558
"Frank Thomas"	0.109151
"Mike Benjamin"	0.108752
"David Segui"	0.108408
"Larry Walker"	0.107918
"Adrian Beltre"	0.107735
"Mike Stanley"	0.107668
"Troy Glaus"	0.107626
"Ryan Klesko"	0.107256
"Manny Ramirez"	0.107133
Nevin	0.106768
"Ruben Mateo"	0.106582
"Tony Clark"	0.105808
"Luis Alicea"	0.105755
"Kevin Jordan"	0.105113
"Ken Caminiti"	0.10474
"Tim Bogar"	0.10468
Mabry	0.104587
"Tony Batista"	0.104425
Beltran	0.104183
"Bengie Molina"	0.10391
"Paul O'Neill"	0.103772
"Ricky Gutierrez"	0.103613
"Will Clark"	0.103523
"Tim Raines"	0.103425
"Shawon Dunston"	0.103288
"Wally Joyner"	0.103285
"Eric Chavez"	0.102993
"Edgardo Alfonzo"	0.102964
"Todd Zeile"	0.102536
"Mike Bordick"	0.101932
"Travis Fryman"	0.10192
Stinnett	0.101774
Hidalgo	0.101377
"Russ Davis"	0.101273
"Francisco Cordova"	0.101239
"John Olerud"	0.1011
"Mark Grudzielanek"	0.100809
"Eric Davis"	0.100165
"Todd Walker"	0.100053
))
(Brantley (desc 1147.84) (sims
Witt	0.131824
Embree	0.128198
Petkovsek	0.11844
Schoeneweis	0.107352
Timlin	0.10722
Nen	0.107106
Burba	0.102603
Borbon	0.0980289
"Rick Aguilera"	0.0979492
Orosco	0.0975742
Swindell	0.0975267
Mercker	0.0974441
Percival	0.0963832
Herges	0.0963278
"Robb Nen"	0.0958189
"Jeff Brantley"	0.0957233
Crabtree	0.0957006
Mahomes	0.0954994
"Russ Springer"	0.0954063
McMichael	0.0949691
Osuna	0.0942426
"Jon Lieber"	0.0939358
Hasegawa	0.0930777
Pavano	0.0927266
Bottenfield	0.0920633
Mantei	0.0914347
Appier	0.0913931
Ligtenberg	0.0911011
calligrapher	0.0906112
"Matt Mantei"	0.0895278
Hudek	0.0884745
Seanez	0.0880935
Eldred	0.087482
Perisho	0.087088
Suppan	0.0867069
Astacio	0.0860247
Bere	0.0858897
Checo	0.0854447
Cormier	0.0852781
Dotel	0.0849989
Corsi	0.0844022
Yarnall	0.0840208
Mulholland	0.0838347
Rusch	0.0837616
Contreras	0.0835066
Trachsel	0.0833193
Schourek	0.0828199
Etherton	0.0826639
"Paul Shuey"	0.0822014
Harnisch	0.0817925
Sato	0.081145
Mlicki	0.0811141
Remlinger	0.0807689
"Jason Christiansen"	0.080647
Stephenson	0.0801053
Radinsky	0.0796158
"Mike Williams"	0.0793296
Olivares	0.0789985
Rincon	0.0782753
"Bob Wickman"	0.0779336
Isringhausen	0.0778001
Alarcon	0.0777458
Heredia	0.0776605
Benes	0.0775792
Moyer	0.0760702
Baugh	0.0757063
"Darren Oliver"	0.0753538
Wetteland	0.0753293
Wohlers	0.0752108
Candiotti	0.0750427
Sasaki	0.0749613
Hearn	0.0747686
Ausmus	0.0747455
"Dave Mlicki"	0.0743417
fetter	0.0742263
Rueter	0.0736984
Daal	0.0736639
Parris	0.0734824
Tapani	0.0734461
"Ugueth Urbina"	0.073391
Grimsley	0.0733342
"Francisco Cordova"	0.0731247
Tomko	0.0728589
Burkett	0.0725867
"Greg Swindell"	0.0724324
Radke	0.0721127
Wickman	0.0719382
"Doug Glanville"	0.0719352
Moehler	0.0719172
"Todd Jones"	0.0718854
Harrigan	0.0718839
Higginson	0.0718497
Reynoso	0.0716171
Wasdin	0.0712914
Saunders	0.0712216
"Kirk Rueter"	0.0711604
Edmondson	0.0710494
Wendell	0.0709048
Ankiel	0.070872
"Shawn Estes"	0.0708262
Mendoza	0.0702109
Stinnett	0.0701952
"Antonio Osuna"	0.070122
Fassero	0.0697546
"Jason Schmidt"	0.0696419
"Brian Moehler"	0.0694741
Saberhagen	0.0692119
"Chris Carpenter"	0.0691895
"art teacher"	0.0690308
Inman	0.0689531
"John Burkett"	0.0688626
Dempster	0.0686419
Moeller	0.0685821
Kile	0.0681591
Dickson	0.0680557
"Kazuhiro Sasaki"	0.0680303
McDOWELL	0.0680162
Gagne	0.067745
Woodard	0.0677019
"Woody Williams"	0.0673967
Olson	0.0673151
Kohn	0.0672584
"Jack McDowell"	0.0671137
Cadaret	0.0664404
"Scott Karl"	0.0660198
"Jason Bere"	0.0659629
Nagy	0.0659143
Lieber	0.0658582
Escobar	0.0656279
Glynn	0.0653397
Grossman	0.0653209
"Ryan Glynn"	0.065236
"Chuck McElroy"	0.065203
"Mike Fetters"	0.0651729
"Jesse Orosco"	0.0648374
"Mark Petkovsek"	0.0647719
Ftorek	0.0646739
Goff	0.0645871
Halama	0.0643414
Stanton	0.0637976
Hentgen	0.063433
Benitez	0.0633941
"Rico Brogna"	0.0633395
"Mark Gardner"	0.0633268
"Billy Wagner"	0.0633174
Elarton	0.063191
Dorsey	0.063115
Bohanon	0.0629696
"Pat Mahomes"	0.0629392
Yoshii	0.0628161
Sheets	0.0628072
"Jesus Sanchez"	0.0626574
"Mike Timlin"	0.0625651
"Troy Percival"	0.0619951
"Pete Harnisch"	0.0618423
"Terry Mulholland"	0.0617577
DiCarlo	0.0616446
Mortimer	0.0614431
"Alex Fernandez"	0.0613777
Cloude	0.0613118
Elster	0.0612445
"John Snyder"	0.0612393
"Al Levine"	0.0607838
"Kent Bottenfield"	0.0606148
Hermanson	0.060359
"Kevin Tapani"	0.0602563
Padilla	0.0602542
Langston	0.060205
"Delino DeShields"	0.0600485
Verney	0.0599764
Wakefield	0.0599746
"Jim Parque"	0.059953
Hurtado	0.0598733
"Gregg Olson"	0.0596889
Paniagua	0.0596703
Yan	0.0596681
"Steve Parris"	0.0592067
Roberson	0.0589892
Millwood	0.0588286
Masaoka	0.0588023
"Mike Remlinger"	0.0587736
"Jose Jimenez"	0.0587727
Grbac	0.0587482
"Armando Reynoso"	0.0585473
Chouinard	0.0585426
Holt	0.0585361
"Russ Ortiz"	0.0585242
Frye	0.0585051
Mayne	0.0584619
Valdes	0.0584052
Rojas	0.0581067
"Shigetoshi Hasegawa"	0.0580272
"Jason Dickson"	0.0579449
Brogna	0.0579316
Dyer	0.0578201
Washburn	0.0577956
"Jeff Shaw"	0.0576059
Pulsipher	0.0575064
"Jose Paniagua"	0.0574925
Rapp	0.0574416
))
(Brashear (desc 1641.23) (sims
"Donald Brashear"	0.137067
Nivel	0.0938005
Norberg	0.0869027
Ibarra	0.082585
Golota	0.0765659
Jonsson	0.07125
Berard	0.0692091
McKay	0.0668015
passerby	0.063894
Samuelsson	0.0630915
Glaber	0.0602889
Wenger	0.0598061
Faison	0.0587639
Skiles	0.0579843
Glaser	0.0577312
Ruthardt	0.0563019
Biko	0.0556705
Moxley	0.0554321
Kirkpatrick	0.0553924
Lindros	0.055351
McSorley	0.0548856
Nedved	0.0547444
"CAC @@"	0.0543648
tribesman	0.0538178
Herron	0.0532102
Balaguer	0.0531215
"Old Trieste"	0.0529152
Soares	0.0528887
Pederson	0.0528749
Fiset	0.0527207
Zarkin	0.0519784
Butyrskaya	0.0509281
Meissner	0.0507178
Nasrin	0.0501034
Seizinger	0.0499343
Belanger	0.0497904
Tierney	0.0496048
"Sang Lan"	0.0492159
Warne	0.0489703
Scharping	0.0489338
Holik	0.0488993
O'Donnell	0.0485932
croaker	0.048419
Smaltz	0.0482436
Eldred	0.0481941
Sydor	0.0481079
Kurtz	0.0479548
LaPointe	0.0479286
Canty	0.0478502
Counsell	0.0473563
McMellon	0.047353
Nieuwendyk	0.0471457
mafioso	0.0469636
Campos	0.0469583
Kreuter	0.0469448
"Western Union"	0.0468766
cannonball	0.0466643
Susanna	0.0464548
Glover	0.0464042
Hearn	0.0460274
"pedestrian bridge"	0.0460064
Mini-bus	0.0457738
Recker	0.0456292
Postol	0.0456265
Tapia	0.0454644
McGreevey	0.0454273
Knievel	0.0453748
Moran	0.04517
Demps	0.0451019
Poole	0.0450307
Barksdale	0.0449809
Ceballos	0.0448567
Gantamirov	0.0446331
"rock climber"	0.0446014
Yazdi	0.044491
Dodd	0.0444838
Yagudin	0.0444666
Costin	0.0444399
Kessler	0.0442975
Dierker	0.0442612
Reimer	0.0441
"Dave McGinnis"	0.0439875
Carr	0.0439603
Worrell	0.0438192
Tran	0.0437284
Havelange	0.0436619
"Doug Pederson"	0.043633
Smolinski	0.0434681
Manley	0.0434237
"space probe"	0.0433556
Tarrin	0.043354
Passarella	0.0432773
Matasareanu	0.0431747
Sponeck	0.0431668
"Darryl Sydor"	0.0431539
Pendleton	0.043138
Briere	0.0430732
Chara	0.0429975
Drexel	0.0429798
Blume	0.0427641
Veerappan	0.0425903
"Paulie Ayala"	0.0424971
Kwan	0.0423666
Fryman	0.0423144
Youk	0.042262
Taufik	0.0422369
Matvichuk	0.0422258
Modano	0.0422145
Konerko	0.0421762
"Sheikh Saad"	0.0421411
Chevenement	0.0419828
Irvan	0.0418966
Mendez	0.0418779
looper	0.041864
Belcher	0.0418145
Sensex	0.0417361
Mahoney	0.0417243
Ayala	0.0416921
Hendry	0.0416627
Erica	0.0415955
Tsvangirai	0.0415313
Iliescu	0.0415138
"Jamie Storr"	0.0414928
Spellman	0.0414624
Lyman	0.0414443
Forsberg	0.0414382
tanner	0.0414327
Bedell	0.0414254
Schlessinger	0.0412996
Tubbs	0.0412416
"Chris Boardman"	0.0412297
"attack aircraft"	0.0411996
"Phillippi Sparks"	0.0411625
Muralitharan	0.0411444
Kaczynski	0.0411178
Tuinei	0.0410562
Boardman	0.0410327
"Bryan Berard"	0.0409127
Macaque	0.0407923
Cummins	0.0407706
Recchi	0.0407567
Hamed	0.0407399
Gaither	0.0407028
Solzhenitsyn	0.0406789
Chastain	0.0406546
ensign	0.0406511
Mims	0.0406372
Preval	0.0405778
Hallam	0.0405018
Asprilla	0.0404926
"Del Piero"	0.0404346
Cleaves	0.0403368
parachutist	0.0403341
Vargas	0.0403324
Keegan	0.040327
millon	0.0402435
Laperriere	0.0402215
Osgood	0.0402065
))
(brashness (desc 2249.22) (sims
bravado	0.0876879
arrogance	0.0826346
gaiety	0.0802002
toughness	0.0767957
ebullience	0.0759212
virility	0.0727905
graciousness	0.0674796
swagger	0.067361
charisma	0.0671556
cockiness	0.0667604
exuberance	0.065426
idealism	0.0653971
self-respect	0.0637442
hipness	0.0636342
immaturity	0.0616882
self-confidence	0.0597333
"good looks"	0.0595408
"sense of humor"	0.059015
calmness	0.0584588
"sex appeal"	0.0563076
humility	0.0562267
erudition	0.0561058
competence	0.0555394
intellect	0.055061
resourcefulness	0.0547733
dexterity	0.0541502
ruthlessness	0.0534385
versatility	0.0532032
"joie de vivre"	0.0531164
professionalism	0.0529703
aggressiveness	0.0527492
bluntness	0.0521859
vibrancy	0.0515065
deftness	0.0514007
cleverness	0.0513813
awkwardness	0.0507899
naivete	0.050617
"sense of responsibility"	0.05052
sexiness	0.0504943
"class warfare"	0.0502651
explosiveness	0.0500891
boldness	0.0499245
individuality	0.0491546
fortitude	0.0481335
irreverence	0.0479424
brilliance	0.0479374
tenacity	0.0476627
agility	0.0474794
sweetness	0.0473954
ingenuity	0.0472655
aloofness	0.047119
flair	0.0462205
ardor	0.0456828
defensiveness	0.0455279
sass	0.0455119
rectitude	0.0454932
insouciance	0.0454093
physique	0.0451888
gentleness	0.0449665
elusiveness	0.0445858
lightness	0.0444054
self-esteem	0.044324
"peace of mind"	0.0439753
"sense of duty"	0.043816
sensuality	0.043656
urbanity	0.043473
athleticism	0.0429101
fearlessness	0.0428702
talisman	0.0427665
hauteur	0.0424746
acumen	0.0422849
sharpness	0.0422073
earnestness	0.0421569
"tax advantage"	0.0420235
smoothness	0.0418814
gumption	0.0417544
spunk	0.0414246
quirkiness	0.0413844
naturalness	0.0409635
empathy	0.0405168
showmanship	0.0404065
"reaction time"	0.0402416
))
(Brasil (desc 976.167) (sims
"Estados Unidos"	0.145224
Guerra	0.139782
Carrera	0.128963
Mundo	0.12038
espana	0.111123
Reforma	0.108175
"Post Express"	0.102386
Noticias	0.101868
"Financial Mail"	0.10044
Hurriyet	0.0993042
casa	0.0985228
"National Post"	0.0980599
Sowetan	0.0974621
"Egyptian Gazette"	0.0956408
LOS	0.0951205
"Ethiopian Herald"	0.0910645
Asahi	0.0906623
Banda	0.0905153
que	0.0897407
"Business Day"	0.0894335
"Sydney Morning Herald"	0.0888256
"New Nigerian"	0.0878219
"Yomiuri Shimbun"	0.0860025
espanol	0.0855751
fue	0.0854336
las	0.0847938
"Evening Standard"	0.0847895
"Straits Times"	0.083925
"Indonesian Observer"	0.0838018
masse	0.082846
"Nihon Keizai"	0.0814176
Julio	0.0813986
Jager	0.0788331
"El Pais"	0.0787029
Malaya	0.0785318
siecle	0.0783268
Vina	0.0783209
"East African Standard"	0.0776806
Bild	0.0770675
"Kenya Times"	0.0767738
"Daily Times"	0.0767553
Occidental	0.0766807
Europa	0.0763552
"Daily Star"	0.0760998
"El Mundo"	0.0760669
"Tehran Times"	0.0759592
BN	0.0756563
Fuente	0.0755181
"Moscow Times"	0.0752285
Como	0.0748182
Cristina	0.0743547
"Asahi Shimbun"	0.0733114
Contra	0.0731449
en	0.0730472
"Al Ahram"	0.0724315
Puente	0.0721627
Alma	0.0716279
creme	0.0716182
Kommersant	0.0712054
"Alam Al Yom"	0.0704977
"Zambia Daily Mail"	0.0703207
Ville	0.0701121
monde	0.0699559
Al-Ahram	0.069898
"Le Figaro"	0.0694349
Zapata	0.0692923
Matamoros	0.0689612
Cr	0.0687071
Para	0.0686828
"Nihon Keizai Shimbun"	0.0680555
Hoya	0.0679191
Palma	0.0666286
al-Hayat	0.0664881
Renta	0.0662491
Haaretz	0.066144
Bruijn	0.0659465
Malu	0.0658253
Dias	0.0657764
Casas	0.0657057
"Daily Nation"	0.0652913
Maariv	0.0652354
"U.S. STOCKS"	0.0647158
Plata	0.0640155
Macoris	0.0635578
"Al Hayat"	0.0634083
L'Equipe	0.0633268
"Khaleej Times"	0.0628704
Almeida	0.0627102
Vita	0.0620659
"Village Voice"	0.0617833
dia	0.0617308
"New Straits Times"	0.06166
pompadour	0.0613315
ter	0.060652
Midi	0.0605094
una	0.0603642
Bois	0.0597545
Granma	0.0596122
"East African"	0.0594594
"Yediot Ahronot"	0.0594305
Garza	0.0592658
Politika	0.0590436
Laguna	0.0590038
"Daily Mail"	0.0589731
Ti	0.0589657
Rocha	0.0584115
SAL	0.0582502
Gaulle	0.0581987
se	0.0580713
Izvestia	0.0578428
"Jakarta Post"	0.0578425
"Business Times"	0.0578003
OCA	0.0576266
Venecia	0.0574797
Klerk	0.0572529
su	0.0570298
del	0.0569338
por	0.0565359
Mercado	0.0563192
Boca	0.0562732
"Garden State"	0.0559177
Jong	0.0557912
Sur	0.0555765
Tennessean	0.0555178
Cubas	0.0554847
Grange	0.0554057
Nada	0.0553846
"Rodong Sinmun"	0.0553366
Lange	0.0553325
broadsheet	0.0551513
Afrikaans	0.0550382
Heredia	0.0550178
"Jefferson City"	0.0549778
"Jerusalem Post"	0.0549027
"Jordan Times"	0.0548762
"New Vision"	0.0548144
Mello	0.0546127
Antioquia	0.0545991
Yomiuri	0.0545904
Liege	0.0543187
Swardt	0.0543148
Soleil	0.0538051
Deportivo	0.0535558
Oro	0.053319
politico	0.0532295
"The Monitor"	0.0529751
Independiente	0.0529569
"San Cristobal"	0.0528415
Salam	0.0524504
Post-Intelligencer	0.0524174
Burgos	0.0523115
Val	0.0522912
"Daily Telegraph"	0.0518688
AU	0.0517519
cartwheel	0.0514027
"Austin American-Statesman"	0.0513771
Grande	0.0513667
Pertamina	0.0513297
GANNETT	0.0508363
Italia	0.050794
"one million US dollars"	0.0507616
velodrome	0.0507254
Chardin	0.0505164
Monterrey	0.0504336
"International Herald Tribune"	0.0501015
Merida	0.0500701
MAS	0.0500492
Oliveira	0.0497212
Langkawi	0.0497178
Al-Thawra	0.0496087
mano	0.0494742
"German language"	0.0494646
Madeleine	0.0493843
Sidanko	0.0491296
"U.S. Agriculture Department"	0.0490438
"Credit Agricole"	0.0489628
"Maurier Classic"	0.0487137
Calais	0.0485093
es	0.0485034
Santander	0.048178
"La Salle"	0.0481677
"Le Monde"	0.0480792
Conoco	0.0479604
Sera	0.0477839
Amor	0.0476889
Statoil	0.0476341
Kooning	0.0475855
MBNA	0.0474855
Oregonian	0.0474476
"Washington Times"	0.0472917
Beauvoir	0.0471149
electronica	0.0470544
Pemex	0.0469138
Saint-Exupery	0.0466776
Serna	0.0464804
Rothschild	0.0462142
"John Kim"	0.0461371
Ohioan	0.0461316
Mallorca	0.0461177
SBA	0.0460668
))
(BRASILIA (desc 9934.77) (sims
MONTEVIDEO	0.227583
CARACAS	0.224129
"Rio de Janeiro"	0.220841
Santiago	0.197453
"SANTAFE DE BOGOTA"	0.195972
"Buenos Aires"	0.191393
BOGOTA	0.181783
Managua	0.180346
Quito	0.170648
"Mexico City"	0.170238
HARARE	0.163727
BUCHAREST	0.16109
"Panama City"	0.160241
Riyadh	0.159959
"Abu Dhabi"	0.157149
KIEV	0.156223
MAPUTO	0.156205
SANAA	0.155866
Luanda	0.154991
Islamabad	0.151911
Vilnius	0.151303
HANOI	0.148374
Windhoek	0.148172
Manila	0.147356
"KUWAIT CITY"	0.147079
Lusaka	0.14508
TEGUCIGALPA	0.144824
"Addis Ababa"	0.144803
SOFIA	0.143454
BUDAPEST	0.142356
Gaborone	0.141264
CAIRO	0.141002
Alma-Ata	0.139949
TUNIS	0.139893
Rabat	0.139648
"ALMA ATA"	0.139213
SEOUL	0.138871
Tbilisi	0.137365
"Dar es Salaam"	0.137303
KAMPALA	0.136633
Jakarta	0.136436
JOHANNESBURG	0.135718
Lima	0.134757
Amman	0.134656
"New Delhi"	0.133515
BRUSSELS	0.133387
Pretoria	0.133079
"Ulan Bator"	0.131359
Bonn	0.131252
Lagos	0.131141
MANAMA	0.129926
NICOSIA	0.129298
Bangkok	0.128689
TIRANA	0.128534
Prague	0.127211
Tashkent	0.124628
ZAGREB	0.1246
STOCKHOLM	0.124575
Nairobi	0.124533
ANKARA	0.124343
Helsinki	0.123767
Dushanbe	0.123658
Yaounde	0.122884
Mbabane	0.122699
Madrid	0.121954
DHAKA	0.121764
Damascus	0.121628
Baku	0.121563
Canberra	0.121399
"Minas Gerais"	0.12111
Abuja	0.120186
Ottawa	0.120066
Khartoum	0.118815
BRATISLAVA	0.118438
Tripoli	0.11843
COLOMBO	0.117111
Algiers	0.116986
Beirut	0.116183
Shenyang	0.11558
Yinchuan	0.114948
"Kuala Lumpur"	0.114799
Tehran	0.113829
Kathmandu	0.112444
"Phnom Penh"	0.11172
Cartagena	0.110205
Haikou	0.110174
Tokyo	0.109935
WARSAW	0.109744
Minsk	0.109366
Bishkek	0.109247
Urumqi	0.109098
Sarajevo	0.109025
Wellington	0.108431
Lome	0.107735
BLANTYRE	0.107458
Ljubljana	0.107406
Muscat	0.107187
Accra	0.106911
Belfast	0.106611
Geneva	0.106281
Havana	0.106073
"Cape Town"	0.105861
Chisinau	0.10586
Tallinn	0.105718
LISBON	0.105718
Hefei	0.103628
PYONGYANG	0.103608
"Sao Paulo"	0.103087
Dakar	0.102658
Doha	0.10247
Rome	0.102362
Kigali	0.1021
Nanning	0.102059
Conakry	0.101982
Almaty	0.101865
"San Salvador"	0.101623
XI'AN	0.101096
Maseru	0.100719
Hangzhou	0.100707
Skopje	0.100655
Kunming	0.100374
BEIJING	0.0995378
Istanbul	0.0990326
Vientiane	0.0983025
Abidjan	0.0974171
YANGON	0.0973133
Asuncion	0.0969617
Lhasa	0.0968703
Vienna	0.096753
Ashkhabad	0.0967179
Zhengzhou	0.0966239
Asmara	0.0966196
"San Jose"	0.0964957
Jinan	0.0964789
CHENGDU	0.0961865
Bern	0.0954476
Monrovia	0.0947076
"Banja Luka"	0.0946744
Reykjavik	0.0946374
Oslo	0.094555
Ouagadougou	0.0940754
Guiyang	0.0937377
Changsha	0.0919674
Bamako	0.091955
Moscow	0.0917627
CHANGCHUN	0.091556
Fuzhou	0.0910616
BELGRADE	0.0908902
Paris	0.0907792
Vladikavkaz	0.0906671
Bujumbura	0.089952
Peshawar	0.089761
LONDON	0.0894935
Durban	0.0894386
"Guatemala City"	0.0893921
Suva	0.0893158
Wuhan	0.0891011
Podgorica	0.0890135
Baghdad	0.088916
Berlin	0.0885075
Kuching	0.0882963
Harbin	0.088028
"Santo Domingo"	0.0878478
Taipei	0.0874012
Lanzhou	0.0871052
JERUSALEM	0.0865641
Guangzhou	0.0861169
Taiyuan	0.0857749
Xining	0.0855533
ATHENS	0.0852098
Ramallah	0.0851532
"Egyptian capital"	0.0849348
Kyoto	0.0844813
Yerevan	0.0841884
Shanghai	0.0824885
Lucknow	0.082235
"The Hague"	0.0818078
"La Paz"	0.081102
Alexandria	0.0809048
Yichang	0.0805985
Shijiazhuang	0.0804042
"San Juan"	0.0798667
Nanchang	0.0796348
"Tel Aviv"	0.0795057
Srinagar	0.0792943
Beidaihe	0.0790892
Gaza	0.0784852
"SANTA FE DE BOGOTA"	0.0783025
Luxembourg	0.0782451
Strasbourg	0.077782
NANJING	0.0773512
Dalian	0.0770461
Lausanne	0.0765447
Teheran	0.0765104
Astana	0.0763741
Auckland	0.0763464
Bangui	0.0763343
Karachi	0.0761877
Makhachkala	0.0757729
Katmandu	0.0755618
))
(brass (desc 26711.6) (sims
"stainless steel"	0.124477
aluminium	0.124216
Copper	0.111272
aluminum	0.110823
"wrought iron"	0.100809
chrome	0.100282
Tin	0.0935886
pewter	0.0924664
titanium	0.0841395
marks/@@@kg	0.0813186
porcelain	0.0782925
Zinc	0.076733
"cast iron"	0.0744677
mahogany	0.072603
bullion	0.0722843
marble	0.0711814
steel	0.0670971
glass	0.0656949
silver	0.0624198
Nickel	0.0618822
ceramic	0.0618184
"business leader"	0.061134
plastic	0.0595394
granite	0.0594972
plaster	0.0572929
acrylic	0.057237
executive	0.0559488
lacquer	0.0559281
"military leader"	0.0556209
metal	0.0555351
"business executive"	0.0550665
fiberglass	0.0549955
legislator	0.0546815
bronze	0.054674
cobalt	0.0544874
gold	0.0530275
jade	0.0530182
furniture	0.0529523
vinyl	0.052787
"military officer"	0.0526346
"elected official"	0.0524257
percussion	0.0522339
"high command"	0.0515094
Plexiglas	0.0513723
commander	0.0512648
wood	0.0510739
"political leader"	0.0506917
tile	0.0506629
iron	0.050457
lawmaker	0.050297
politician	0.0499513
parliamentarian	0.0496348
"top executive"	0.0496299
"labor leader"	0.049357
limestone	0.0492059
Pottery	0.0484323
crystal	0.048387
"iron ore"	0.0482132
administrator	0.0481222
congressmen	0.0474862
planner	0.0474524
platinum	0.0472743
Plywood	0.046494
delegate	0.0463264
"council member"	0.0462199
enamel	0.0461281
alloy	0.0459604
leather	0.0458812
regulator	0.0456345
diplomat	0.0449641
Flute	0.0446901
"cabinet minister"	0.0445209
dignitary	0.0438113
guitar	0.0435078
ivory	0.0434438
aide	0.0431859
Industrialist	0.0431633
staffer	0.0431063
execs	0.0430734
boss	0.0426267
"committee member"	0.0426129
"board member"	0.0424201
clay	0.0424117
saxophone	0.0420572
"rank and file"	0.0419745
businessmen	0.041749
journalist	0.0411756
scholar	0.040492
"policy maker"	0.0404215
"staff member"	0.0402672
"foreign officials"	0.0402262
policy-makers	0.0401881
"chief of staff"	0.0401271
chairmen	0.0400166
))
("brass band" (desc 3399.16) (sims
"military band"	0.210797
bagpiper	0.0813407
klezmer	0.0788997
bluegrass	0.0759817
bagpipe	0.0722889
"honor guard"	0.071937
fife	0.0704782
Zydeco	0.07017
merengue	0.0624361
choir	0.0617939
"guard of honor"	0.0613165
banjo	0.0608459
Motown	0.0604411
drummer	0.0572371
"big band"	0.0569688
cookout	0.0562616
mariachi	0.0558544
"Burt Bacharach"	0.0549495
rock-and-roll	0.0546229
"theatrical performance"	0.0544857
honky-tonk	0.0534893
SKA	0.0531499
rhythm-and-blues	0.0530572
"Van Halen"	0.0529819
"chamber orchestra"	0.051879
saxophone	0.0517595
"folk dance"	0.0499784
Chorale	0.0498387
"Martin Sheen"	0.0493592
accordion	0.0482998
minder	0.0482541
"dance band"	0.0477781
"Boston Pops"	0.0477307
Phish	0.0476466
mambo	0.047336
Reggae	0.04726
calypso	0.0471786
dirge	0.0448994
trombone	0.0446559
hymn	0.0444914
flyover	0.0444773
Gaines	0.0444198
"Bob Marley"	0.0441124
Monkees	0.0437507
"Delta Force"	0.0434734
polka	0.0433837
Beatles	0.04323
uptempo	0.0429027
ragtime	0.042433
"jazz band"	0.0417841
"religious ceremony"	0.0416065
Sim	0.0411066
D.J	0.0410006
cowbell	0.0408281
"folk song"	0.0407033
"firing range"	0.0405645
"Jimmy Buffett"	0.040564
"Grateful Dead"	0.0401349
Ellington	0.0401169
"popular music"	0.0400289
))
(Brasserie (desc 2821.52) (sims
bistro	0.137369
nightspots	0.118849
Steakhouse	0.111515
"tea house"	0.0966883
"truck stop"	0.090356
cityscape	0.0868296
eateries	0.0839968
pub	0.0806984
nightspot	0.0805404
delicatessen	0.0790987
pizzeria	0.077026
boutique	0.0750782
"dance hall"	0.0724952
"Chez Panisse"	0.0713158
nightclub	0.0712994
Savoy	0.0711042
coffeehouse	0.0702959
"beauty salon"	0.0700918
"art gallery"	0.0692079
hooter	0.0685031
"bowling alley"	0.0675314
disco	0.0673447
"liquor store"	0.0670771
"Pennsylvania Station"	0.0668081
bookstore	0.0655746
"Fashion Week"	0.0655195
tavern	0.0650503
teahouse	0.0644435
"Jewish Museum"	0.064273
"clothing store"	0.0641427
"movie theater"	0.0640524
"Penn Station"	0.0639901
bakery	0.0637368
taxicab	0.0623369
"beauty shop"	0.06188
discotheque	0.0618348
megaplexes	0.0616999
"game room"	0.0616631
"Metropolitan Opera House"	0.0613641
"pizza parlor"	0.0611478
arcade	0.06051
megaplex	0.0603138
COUTURE	0.0599483
planetarium	0.0591974
pimpernel	0.0590877
"Rainbow Room"	0.0582748
"recording studio"	0.0578882
meritocracy	0.0577624
deli	0.057516
menswear	0.0569248
Bauhaus	0.056685
"Kentucky Fried Chicken"	0.0566084
"Print Shop"	0.055932
"CAC @@"	0.0559178
decorator	0.0553668
"snack bar"	0.0551746
"swing music"	0.0548656
"retail store"	0.054817
"Planet Hollywood"	0.0546524
"Waffle House"	0.0545581
e-BOOKS	0.0545241
PDA	0.0544722
hangout	0.0541325
penthouse	0.053873
"jewelry store"	0.053553
"sailing vessel"	0.0534372
"information superhighway"	0.0533373
"convenience store"	0.0532814
diner	0.0529245
"coffee shop"	0.0528368
caterer	0.0527524
"art school"	0.0523744
cabaret	0.0523067
"adventure story"	0.0522288
"Palm Pilots"	0.0521333
agro-techniques	0.0519392
prosthesis	0.0515106
"musical comedy"	0.0514354
cuisine	0.0513393
"service station"	0.0511619
Spago	0.050954
sportswear	0.0508143
streetlight	0.0507145
"butcher shop"	0.0506646
"Taco Bell"	0.0504731
saloon	0.0504289
"black cat"	0.0500804
duplex	0.0499373
"gambling casino"	0.0498708
"general store"	0.0497883
"Museum of Natural History"	0.0494727
banquette	0.0493824
brothel	0.0493787
headquarters	0.0493433
crematorium	0.0491779
Ritz-Carlton	0.0491205
"coffee bar"	0.0490656
"discount store"	0.0486931
tapa	0.0486381
Cookery	0.0485797
"shoe store"	0.0484003
"sphere of influence"	0.0483541
"savings bank"	0.0482321
nightlife	0.0481854
"Grand Central Terminal"	0.0481664
"gas station"	0.0481283
"art dealer"	0.0475775
superstore	0.0475643
retro	0.0475146
"balance beam"	0.0474674
"chain store"	0.0473877
Streetcar	0.0472901
"Ritz-Carlton Hotel"	0.0472588
"main office"	0.0472085
"trading floor"	0.0471994
copout	0.0471327
"supper club"	0.0470448
"Seasons Hotel"	0.0469724
"Guggenheim Museum"	0.046954
gothic	0.0468812
"Solomon R. Guggenheim Museum"	0.0467725
SPA	0.0466148
"wine cellar"	0.0465432
"High Museum of Art"	0.046477
"gas plant"	0.0463951
spas	0.0462479
bed-and-breakfast	0.0461317
"savings bond"	0.0461242
hairstyle	0.0460392
agro-technology	0.0459119
"food shop"	0.0457342
Bathhouse	0.0455717
distillery	0.0453766
songbook	0.0453493
riverboats	0.0453348
"theme park"	0.0450244
"dry cleaner"	0.0448766
sushi	0.044693
"board game"	0.0446482
"science museum"	0.0445599
"day care center"	0.0445582
"music hall"	0.0444597
"Peachtree Street"	0.0442337
"Potsdamer Platz"	0.0441728
"B&AMP;B"	0.0441658
"beaux arts"	0.0438801
"first school"	0.0438769
"manor house"	0.0437788
"avant garde"	0.0437449
"conference center"	0.0437371
"particle accelerator"	0.0437143
"furniture company"	0.0434056
"yacht club"	0.0433871
SIESTA	0.0433409
"gift shop"	0.0432911
"Scottish Parliament"	0.0432031
"Cedar Lodge"	0.0431705
"Apollo Theater"	0.0431378
"Charles de Gaulle"	0.0429817
"racing car"	0.0429406
pier	0.0429348
"GI Joe"	0.0429135
"specialty store"	0.0428564
"South Beach"	0.042674
"Burger King"	0.042619
Catch-@@	0.0425985
Soho	0.0425689
"Jimmy Stewart"	0.0425386
"funeral home"	0.0425384
"shopping center"	0.0425161
"chain gang"	0.0425137
minimalist	0.0424174
"Passion play"	0.0423022
"boarding house"	0.0423011
"nuclear family"	0.0420494
"Suzhou Industrial Park"	0.042047
flamenco	0.0420399
"subway train"	0.0420385
"hardware store"	0.0420185
CAC	0.0420001
"folk music"	0.0419869
brownstone	0.0419655
Fantasia	0.0419465
swashbuckler	0.0419329
"entertainment center"	0.041823
"trading post"	0.0418076
cafeteria	0.0417078
"Palm Pilot"	0.0416948
wallpaper	0.0416621
"Howdy Doody"	0.041631
"Dairy Queen"	0.0416189
"law practice"	0.0415621
"Palm VII"	0.0414732
"movie house"	0.0414562
"Studio @@"	0.0413559
chanteuse	0.04133
hacienda	0.0412575
klezmer	0.0412512
croissant	0.0411317
glitzy	0.0411231
))
(brassiere (desc 952.705) (sims
undershirt	0.126449
bra	0.123576
waistcoat	0.119472
"sport shirt"	0.117606
"pants suit"	0.11727
"neck brace"	0.116749
girdle	0.114118
pigtail	0.105043
bodysuit	0.104706
tux	0.104446
windbreaker	0.104335
smock	0.102469
toupee	0.101739
"cowboy hat"	0.100451
capris	0.0999766
halter	0.0997634
"dress shirt"	0.0992527
sweatshirt	0.0976099
miniskirt	0.0955694
pullover	0.0944396
"life vest"	0.0940218
"polo shirt"	0.093671
bellbottoms	0.0919831
"cowboy boot"	0.0918206
"leather jacket"	0.0916268
camisole	0.0915243
"sports jacket"	0.0914954
parka	0.0907985
"bowler hat"	0.0893104
"wedding dress"	0.0884891
tuxedo	0.0872188
"black tie"	0.0858409
"boxing glove"	0.0857087
Bonnet	0.0843729
"evening dress"	0.0842232
pantsuit	0.0835763
corset	0.0835573
turtleneck	0.0825531
"felt hat"	0.0825468
"ball gown"	0.0810972
"prayer shawl"	0.0810559
slicker	0.080081
cardigan	0.079916
"business suit"	0.0794212
bustier	0.0794155
"hard hat"	0.078671
blinker	0.0775464
Afro	0.0772793
swimsuit	0.0770981
tiara	0.0770089
wristband	0.0769142
wader	0.0766357
"fur coat"	0.0759606
turban	0.0759242
blouse	0.0757765
"piece of cloth"	0.0757156
"wedding gown"	0.0755971
popsicle	0.0748687
corduroy	0.074654
wig	0.0743132
"tennis shoe"	0.0740738
fedora	0.0740685
"can opener"	0.0737763
braid	0.0735477
undergarment	0.0720384
raincoat	0.0719154
bandanna	0.0712772
"feather boa"	0.0708738
"dress uniform"	0.0707038
prosthesis	0.0704827
"life jacket"	0.0702247
hosiery	0.0696867
caftan	0.0696714
sheath	0.0693789
coverall	0.0691225
bib	0.0687503
overcoat	0.0685683
"roller skate"	0.0682525
"pound cake"	0.0677549
"safety belt"	0.0676532
sandal	0.0676125
denim	0.0672563
blinder	0.0670513
kilt	0.066789
bodice	0.0666057
anorak	0.0664015
"pocket watch"	0.0664001
BOA	0.0663555
headgear	0.0663129
blackface	0.0662803
"top hat"	0.0662041
"cocktail dress"	0.0657794
"running shoe"	0.0653876
earpiece	0.0652309
beret	0.0650203
"dark glasses"	0.0650054
bandana	0.0649215
"belt buckle"	0.0648548
frock	0.0646871
"oxygen mask"	0.0646065
cutoffs	0.0640672
"straw hat"	0.064016
earphone	0.0638081
skullcap	0.0636645
bathrobe	0.0636611
"ski mask"	0.062971
armband	0.0628647
"mink coat"	0.0627871
"blue jean"	0.0627263
"stiletto heel"	0.0627043
livery	0.062503
"bulletproof vest"	0.0620378
knickers	0.0616763
spreader	0.061655
Tutu	0.0614538
"sweat pants"	0.0612063
neckline	0.0611755
sportswear	0.0611227
tunic	0.0608252
loincloth	0.0606786
Poncho	0.0606392
"life preserver"	0.0604513
"nose ring"	0.0603137
spandex	0.0603049
"chocolate chip cookie"	0.0601319
yarmulke	0.0594891
"evening gown"	0.0593293
"rubber boot"	0.0591732
kimono	0.0590884
"bathing suit"	0.0590839
barrette	0.059069
spacesuit	0.0589856
suspender	0.0580304
pasty	0.0579638
shortcake	0.0579599
pantyhose	0.0577971
"baseball cap"	0.0577811
"military uniform"	0.0571912
jacks	0.0570223
"place setting"	0.0566065
headband	0.0563362
shamrock	0.0563186
"slide rule"	0.0561008
"evening bag"	0.0559862
"name tag"	0.0557672
"combat boot"	0.0557131
"face mask"	0.0556714
pajama	0.0556652
"wedding ring"	0.0554838
"life form"	0.0554647
"trench coat"	0.0554596
"fig leaf"	0.0553976
bodysuits	0.0552386
goatee	0.0550882
hand-me-down	0.0549746
"space heater"	0.0549623
"shock absorber"	0.0548336
earplugs	0.0544186
counterbid	0.054388
cannister	0.0534251
tights	0.0534129
snowboards	0.0533962
"lynch mob"	0.053212
organza	0.0531681
goggles	0.0531167
"bow tie"	0.0530416
underpants	0.0527145
pillowcase	0.0523841
mitten	0.052348
frill	0.052137
STETSON	0.052134
"baseball glove"	0.051766
Thong	0.0516506
dreadlocks	0.0515969
"exhaust system"	0.0514534
"business processe"	0.0513486
jumpsuit	0.0511276
"contact lense"	0.0508882
trunks	0.0505586
crapshoot	0.0505166
"engagement ring"	0.0501912
mink	0.0498708
"scarlet letter"	0.0497987
"bucket seat"	0.049606
slacks	0.0494671
hairdo	0.0494579
"guardian angel"	0.0494536
Buicks	0.0489665
moustache	0.0488223
Sari	0.0488026
"patchwork quilt"	0.0486202
"ballpoint pen"	0.0483917
sarong	0.0482652
"air filter"	0.0481614
copout	0.04812
"beach ball"	0.0480599
sideburn	0.0479991
chiffon	0.0479615
teddy	0.0479168
"shoulder pad"	0.0478782
))
(Braswell (desc 655.387) (sims
Kearin	0.181639
Romar	0.168526
Monson	0.162112
Weisman	0.161868
Rossotti	0.148845
Solis	0.146633
Fieger	0.146081
Troussier	0.145875
Dunleavy	0.1429
Skiles	0.139501
Ruehe	0.13949
beamer	0.137858
Jacquet	0.13522
Ikeda	0.128346
Finkel	0.127882
Summitt	0.12753
Sheehan	0.12512
Popovich	0.122607
Schmid	0.122187
Passarella	0.120928
Heinrichs	0.120419
Mendez	0.118432
Diouf	0.117686
Bavasi	0.117454
Ainge	0.116415
Slocum	0.116348
Gormley	0.116336
Stoneman	0.116079
Kuhn	0.116048
Wolfson	0.115613
Zambrano	0.114121
McGinnis	0.113484
Beazley	0.113287
Silas	0.113211
ROMNEY	0.112488
Rodionov	0.112453
Sherrill	0.112373
Fleischer	0.112248
Goossen	0.111515
Scharping	0.111045
Geiger	0.109708
Koehler	0.109164
Echols	0.109084
Soyinka	0.108691
Wenger	0.108555
Rongen	0.108047
Manley	0.106745
Billick	0.10648
Marineau	0.106132
Jarvis	0.106094
Scioscia	0.105937
Gillick	0.10532
Cepeda	0.105139
Cowan	0.104768
Hyman	0.103491
Hendrickson	0.102558
Samuelson	0.10249
Ftorek	0.102483
Wannstedt	0.101389
Kauffman	0.101379
Clements	0.100704
Prewitt	0.100502
Okada	0.100484
Inman	0.1004
O'Malley	0.100057
Bustamante	0.099985
Hartsburg	0.0999467
Constantinescu	0.0996045
Alarcon	0.0991087
Fulmer	0.0990219
Chao	0.0989963
Layden	0.0980324
"La Russa"	0.0978811
Fuentes	0.0978625
Kohler	0.0977789
McInnis	0.0973313
Grasso	0.0970304
McQueen	0.0969515
Zucker	0.0963175
Fiorina	0.0963156
Westphal	0.096271
Engel	0.0961838
Contreras	0.0959345
Verney	0.0955541
Gossage	0.0951431
Bettman	0.0950767
Eizenstat	0.0948319
Ouattara	0.094664
Nateq-Nouri	0.0946157
Marinovich	0.0945623
Hackett	0.0944938
Padilla	0.0944937
Hybl	0.094447
McGreevey	0.0944329
Hauser	0.0942528
Najera	0.0940554
"administration official"	0.0937454
Cowher	0.0935785
Azizah	0.0933519
frist	0.0930383
Patel	0.0929826
Reimer	0.0929433
Allard	0.092683
Havelange	0.0926238
Zadornov	0.0925212
Tubbs	0.0924902
Advani	0.0924521
Lampkin	0.0923929
Boles	0.092384
Ruggiero	0.0918839
Sahadi	0.0918337
Dungy	0.0915568
McKinnon	0.0911001
silber	0.0910612
Solich	0.0908562
BURNHAM	0.0906389
Sapp	0.0905576
Grossman	0.0905557
Hagel	0.0905162
Pittman	0.0904365
Bergeron	0.0902485
capella	0.0901944
Wagoner	0.0901705
Harmoko	0.0901578
Atler	0.0901438
Gogel	0.090121
Calcavecchia	0.0899795
Hirschbeck	0.0899136
Naumann	0.0897321
Arbour	0.0894787
Babcock	0.0894421
ISSEL	0.0893179
Cortines	0.0888647
Polian	0.0888333
Mlicki	0.0886622
Calvary	0.088621
Siazon	0.0884374
Schoenfeld	0.088236
Kupchak	0.0882228
McKeon	0.0881559
Ciampi	0.0875388
Koch-Weser	0.0872875
Monahan	0.0872677
Strahan	0.0872212
Sorensen	0.0872084
Mariucci	0.086742
Rothman	0.086708
Isakson	0.0866075
Paxon	0.0865346
Rahal	0.0864562
Tuberville	0.0863574
Flanagan	0.0863411
Noboa	0.0863223
McDaniel	0.0863051
Plante	0.0862729
Caldera	0.0862445
Bibby	0.0862081
Finney	0.0860571
Byrne	0.0860561
Rambis	0.0857576
Robson	0.0855705
Schmitt	0.0855373
Mikhailov	0.0854694
Sato	0.0854177
Biden	0.0852086
Lockyer	0.0852071
Hodler	0.0851756
Willard	0.0851327
Ortega	0.0850768
Collier	0.0847617
Laudrup	0.0847047
Guerra	0.0846542
Schuerholz	0.0845256
Lowry	0.0844751
Nasrallah	0.0844438
Hagelin	0.0844403
Cooley	0.0844361
LaPierre	0.0843399
Seselj	0.0842656
Valenti	0.0842151
Girard	0.0841816
estes	0.0841758
Reinsdorf	0.0841751
Sykes	0.0841681
Muckler	0.0841307
Danner	0.0840593
Waddell	0.084057
Cota	0.0840067
McCollum	0.0839231
Martz	0.0836098
Groh	0.0833369
Pelosi	0.0833166
DeFrantz	0.0833143
Cremins	0.0832866
Stubbs	0.0831831
Brandt	0.08316
Hunsicker	0.0831116
Pennington	0.0830768
Ebbers	0.0829603
Feuer	0.0828937
))
(brat (desc 6294.89) (sims
"prima donna"	0.0938118
twit	0.0892633
dilettante	0.08563
slob	0.0839566
punk	0.0805581
overachiever	0.076269
snob	0.0759012
wimp	0.0733813
egomaniac	0.0731324
nerd	0.0701168
"enlisted man"	0.0697549
idiot	0.0695092
geek	0.0690004
crybaby	0.0668412
malcontent	0.0659276
curmudgeon	0.0655068
whore	0.0653796
neurotic	0.0646632
jerk	0.0645136
lunatic	0.0633201
goofball	0.0626462
hypocrite	0.0624649
bastard	0.0614306
"little girl"	0.0613767
"pain in the neck"	0.0606785
freak	0.0605004
"test pilot"	0.0599556
hippie	0.0591972
bum	0.0588804
"altar boy"	0.0586622
hyper	0.0586545
opportunist	0.057796
bigot	0.0577116
yuppie	0.0575254
"hockey player"	0.0572131
moron	0.05712
"staff sergeant"	0.0557399
multimillionaires	0.0556142
outcast	0.0548145
whiner	0.0544432
has-been	0.0543191
idealist	0.0542397
loner	0.0540644
superstar	0.0537836
capitalist	0.0536114
junkie	0.0535243
jock	0.0533477
do-gooder	0.0530397
agnostic	0.0529018
lout	0.0527731
tomboy	0.0523129
"free spirit"	0.052127
"good person"	0.0520322
hermit	0.0515979
poodle	0.0512905
coward	0.0510447
bumpkin	0.0506072
feminist	0.0505664
"hard worker"	0.0505116
nigger	0.050479
"boy wonder"	0.050428
Kurd	0.0502019
crook	0.0500642
knucklehead	0.04981
expletive	0.0497595
stuntman	0.0497418
optimist	0.0495592
antsy	0.0487678
grown-up	0.0487615
"big leaguer"	0.0486999
baby-boomers	0.0486804
ideologue	0.0486341
"farm boy"	0.0485924
underachiever	0.0484889
achiever	0.0484858
"Wild Man"	0.04835
ballplayer	0.0483189
buffoon	0.0481161
bohemian	0.0480531
waif	0.048009
rascal	0.0477789
"one of the boys"	0.0475549
"New Democrat"	0.0474504
enlistee	0.0474367
thug	0.0473652
Trailblazer	0.0473631
clown	0.0472729
visionary	0.0472351
bloke	0.0472308
brute	0.0471356
schoolboy	0.0470796
"character actor"	0.0470137
insulator	0.0470019
diva	0.0469769
heartthrob	0.0469567
"little leaguer"	0.0466746
courtesan	0.0466521
choirboy	0.0464055
bloomer	0.0463018
maniac	0.0462919
socialite	0.0461713
drunk	0.0460443
fella	0.0460132
iconoclast	0.0459517
dude	0.0456892
immortal	0.0453754
cheerleader	0.0451517
genius	0.0451137
"young lady"	0.0450683
"guardian angel"	0.0450049
pushover	0.0448968
gook	0.0448791
scriptwriter	0.0448034
carpetbagger	0.0445494
duds	0.0445349
first-rounder	0.04438
talker	0.0443226
slacker	0.0441309
grinder	0.0437394
commoner	0.0436028
"battering ram"	0.0435171
supermodel	0.0434046
"risk taker"	0.0432792
schemer	0.0431873
ensign	0.0430913
battler	0.0429652
bodybuilder	0.042937
suburbanite	0.0428782
"old man"	0.0426414
"second person"	0.0425772
evangelist	0.0425392
showgirl	0.0424992
sucker	0.0424346
overweight	0.0423525
neophyte	0.042351
"ball club"	0.0423299
infantryman	0.0421586
"boxing glove"	0.0421121
starlet	0.0420894
valedictorian	0.0419375
bitch	0.0419077
whistle-blower	0.0417359
pup	0.0417048
medic	0.0416513
"golden boy"	0.0413488
pragmatist	0.0412189
"role player"	0.041196
sadist	0.0411859
despot	0.0411568
"old lady"	0.0411291
ya	0.0410168
brawler	0.0409294
wacko	0.0408929
"black sheep"	0.0408541
"football player"	0.0407605
modernist	0.0407352
heroine	0.040711
partygoer	0.0405912
Sportsman	0.0404902
sleuth	0.0404356
twentysomethings	0.0404041
womanizer	0.0403792
"movie star"	0.0403623
"baby boomer"	0.040337
steed	0.040313
Brit	0.0402545
cipher	0.0402354
reservist	0.0402303
idol	0.0400752
"young person"	0.0400727
tyrant	0.0400725
leech	0.0400608
))
(BRATISLAVA (desc 3648.94) (sims
Riga	0.198466
Tbilisi	0.1931
Ljubljana	0.189923
Chisinau	0.184967
Tallinn	0.178435
Asuncion	0.178143
Yerevan	0.172083
Vilnius	0.170766
Tashkent	0.169898
Windhoek	0.168185
Dushanbe	0.166126
ZAGREB	0.164473
KIEV	0.161384
Basle	0.160668
Baku	0.158843
Gaborone	0.158244
MANAMA	0.157007
Prague	0.154764
PALERMO	0.141639
BUDAPEST	0.139956
Eindhoven	0.139196
BUCHAREST	0.139044
Minsk	0.13747
Bishkek	0.133321
Suva	0.131547
Sapporo	0.131507
Honiara	0.130209
Skopje	0.129161
Podgorica	0.129139
Riyadh	0.129122
Duesseldorf	0.127306
Adelaide	0.125779
Doha	0.123134
"La Paz"	0.121797
Fukuoka	0.120935
Quito	0.120822
Nagoya	0.120789
Charleroi	0.12073
Malmo	0.120617
Tripoli	0.119392
WARSAW	0.118677
Reykjavik	0.118511
BRASILIA	0.118438
Filderstadt	0.118313
Monrovia	0.117178
SOFIA	0.115914
Ouagadougou	0.115776
"St Petersburg"	0.115695
Hobart	0.115355
Vladikavkaz	0.115119
Bamako	0.114826
Mbabane	0.114654
Accra	0.114584
CARACAS	0.114538
TUNIS	0.114389
Graz	0.114347
Rabat	0.113904
Gothenburg	0.113012
Klagenfurt	0.112667
Asmara	0.112431
Linz	0.112308
Catania	0.112059
Durban	0.11146
TEGUCIGALPA	0.111442
Oslo	0.110978
Yaounde	0.110524
Makhachkala	0.11026
MONTEVIDEO	0.110219
Strasbourg	0.11019
Copenhagen	0.110079
Luanda	0.110061
Muscat	0.109695
Trondheim	0.109345
Lucerne	0.109108
Bujumbura	0.107696
STOCKHOLM	0.106977
LISBON	0.10691
Madras	0.106755
Kuching	0.106056
Zurich	0.105721
MAPUTO	0.105357
HANOI	0.105297
Vientiane	0.104601
Munich	0.104341
Port-au-Prince	0.104164
"San Salvador"	0.104121
Lyon	0.103816
Pretoria	0.103713
Halle	0.103525
BOGOTA	0.103186
Valletta	0.103016
Essen	0.102068
"Bandar Seri Begawan"	0.101548
Plata	0.101491
Hamburg	0.101154
Bangui	0.100584
NICOSIA	0.100491
Santiago	0.100427
Abuja	0.100339
Urumqi	0.100297
HARARE	0.0992682
Perth	0.0990493
Mogadishu	0.0988889
Brazzaville	0.098576
Ashkhabad	0.0983803
Bern	0.0983792
Astana	0.0983627
Damascus	0.09729
Bissau	0.0969224
Glasgow	0.0968097
"CHIANG MAI"	0.0967012
"Egyptian capital"	0.0966507
Cardiff	0.0966366
Abidjan	0.0964665
Helsinki	0.0964395
Dili	0.0964189
"Hilton Head"	0.0963521
Algiers	0.095857
Sarajevo	0.095513
SEOUL	0.0954583
Stuttgart	0.0950091
Utrecht	0.094965
Bremen	0.094806
"Guatemala City"	0.0947174
"ALMA ATA"	0.0945457
"Ho Chi Minh City"	0.0943431
Alma-Ata	0.0942319
Brisbane	0.0939402
Lome	0.0938487
"Ulan Bator"	0.0938457
Lhasa	0.0938066
Dodoma	0.0937056
Cartagena	0.0936738
Almaty	0.0936348
Auckland	0.0924843
Khartoum	0.0924276
"Addis Ababa"	0.0923906
Vitoria	0.0922639
"St. Petersburg"	0.0921365
Kitzbuehel	0.0919418
"Phnom Penh"	0.0916478
Amman	0.0915983
Maseru	0.0913977
Vienna	0.0912666
"PETALING JAYA"	0.0912495
Taipei	0.0912095
Karachi	0.0909896
Toulon	0.0909863
SANAA	0.0909661
"Cape Town"	0.0900429
Habsudova	0.0899818
Eastbourne	0.0899793
MELBOURNE	0.0898928
SENDAI	0.0898136
Milan	0.0896204
"Manhattan Beach"	0.0891199
"Santo Domingo"	0.0888389
Seville	0.0888261
Tehran	0.088679
"Port Moresby"	0.0886449
Peshawar	0.088597
Genoa	0.0884609
BLANTYRE	0.0884538
Bormio	0.0880271
Istanbul	0.0876017
Srinagar	0.08729
Rostock	0.0868183
Toulouse	0.0867682
Salzburg	0.0867672
"Banja Luka"	0.0866815
Dakar	0.0866485
Belfast	0.0865072
Svorada	0.086418
"San Sebastian"	0.086327
Osaka	0.0862971
Jeddah	0.0856106
BASEL	0.0855424
"Key Biscayne"	0.0848161
JOHANNESBURG	0.084612
Leipzig	0.0845289
SAINT-ETIENNE	0.084406
"Tel Aviv"	0.0842381
Berlin	0.0842246
Moroni	0.0842246
"Kuala Lumpur"	0.0841266
Ipoh	0.0838608
Islamabad	0.0837409
"Buenos Aires"	0.0836028
Haikou	0.0834882
Karlsruhe	0.0831231
"Gold Coast"	0.0830896
Chiba	0.0830761
Montpellier	0.0829322
Managua	0.0828807
Denpasar	0.0827429
Dublin	0.0824199
"Dar es Salaam"	0.0818763
Bologna	0.0817507
"Abu Dhabi"	0.0816039
Rotterdam	0.0815567
))
(Bratton (desc 999.835) (sims
Kyprianou	0.125887
Nasrallah	0.122618
Sheehan	0.120868
Ruehe	0.120284
Rossotti	0.118041
Hendrickson	0.116605
McCurry	0.116034
Guthridge	0.115958
Bullard	0.115664
Eizenstat	0.115082
Fleischer	0.11483
Schottenheimer	0.113617
Bustamante	0.113243
Velayati	0.111673
Reiner	0.11115
Briscoe	0.109387
Siazon	0.1087
Yastrzhembsky	0.107781
Stoyanov	0.106625
Rusch	0.106142
Rongen	0.1055
Stadler	0.104426
Kasoulides	0.104314
Lockyer	0.101746
Hauser	0.101103
Romar	0.10084
Manley	0.10076
Singson	0.100652
Barrie	0.0996884
Rothenberg	0.0996654
Baugh	0.0994896
Valenti	0.0992385
Nasser	0.0985696
Rylander	0.0982352
Hynes	0.0980201
Dungy	0.0975866
Carollo	0.0974218
Maslyukov	0.0973529
Gogel	0.097243
Troussier	0.0971976
Milbury	0.0970648
Husseini	0.0969463
Samuelson	0.0966235
Ebersol	0.0963068
Monson	0.096181
Sather	0.0955693
Betts	0.0954109
Geiger	0.0951457
Tuttle	0.0949994
Feuer	0.0943281
Indyk	0.0937264
Wagoner	0.093364
Neff	0.0931724
Aventajado	0.0928204
Klestil	0.0919309
Perisho	0.0918084
Arbour	0.0916065
Satcher	0.0915907
Zadornov	0.0915217
Diouf	0.0913812
Ruggiero	0.0911261
Andreychuk	0.090683
Borodin	0.0905248
Solich	0.0897557
Ainge	0.0896441
Lowry	0.0895966
Advani	0.0894952
Kumar	0.0894876
Parrish	0.0889381
Cota	0.0888971
Piot	0.0888924
Ivester	0.088641
Hiddink	0.0883107
Butterworth	0.0879966
Flanagan	0.087793
Murayama	0.0876568
Joklik	0.0874132
Riordan	0.0873981
Moratinos	0.0871518
Brandt	0.0870724
beamer	0.0869954
Constantinescu	0.0869616
Jayakumar	0.086948
Wenger	0.0869007
Henning	0.0868429
Nazarbayev	0.0864685
Passarella	0.0862796
Kessler	0.0861723
Difrancesco	0.086032
Okada	0.0853113
Vogts	0.0851628
Marineau	0.0850623
Steiner	0.0848098
Lundberg	0.0846077
Cronin	0.0845892
Stricker	0.0844673
Reinsdorf	0.0842798
Quigley	0.0842517
Cortines	0.0841717
Nemtsov	0.0841535
Westendorp	0.0839808
"Earnhardt Jr."	0.083938
hodgson	0.083809
Skiles	0.0838063
Engelberg	0.0837571
Rahman	0.0837463
Neilson	0.0836809
Insulza	0.0836143
Goldin	0.0836061
Conroy	0.0835708
Paxon	0.0835096
Lehane	0.0833582
Sasser	0.0833472
Munson	0.0830331
Appleby	0.0827667
Robson	0.0826643
Markovic	0.0825705
Najera	0.0823964
Ciampi	0.0822924
Langham	0.0822016
Ftorek	0.0820536
Jeffers	0.0819021
Schrempp	0.0818942
Beilin	0.0818727
Bolger	0.0817317
Ganassi	0.0815879
Rubenstein	0.0812717
Bronfman	0.0810461
Carbonneau	0.0809766
Conte	0.0809458
Heinrichs	0.0808755
Kuehne	0.0808401
Braswell	0.0808014
Pustovoitenko	0.0807473
Klima	0.0807176
Krasniqi	0.0806916
Jauron	0.0806535
Inman	0.0804956
Mowlam	0.0804873
Barshefsky	0.0804199
Kern	0.0803671
BURNHAM	0.0803232
Calvary	0.0803204
Constantine	0.0801863
Hayworth	0.0800687
Borbon	0.0800342
Gorter	0.0798319
Madden	0.0796866
Sykes	0.0796829
bock	0.0796736
Hakim	0.0795139
Jacquet	0.0794855
Rendell	0.0792988
Sherrill	0.079243
Meguid	0.0791132
Galvin	0.079065
Ruthardt	0.0790605
Safir	0.0789953
Walesa	0.0789031
Maldini	0.0787866
Wolfson	0.078785
Mikhailov	0.0784851
Seleznyov	0.0784427
Azad	0.0784189
Atler	0.0782829
Chung	0.0781312
Chouinard	0.0781034
Parris	0.0780492
Reinhardt	0.0780391
Siegel	0.0778813
Edelstein	0.0778444
Caddell	0.0776882
Berri	0.0776007
Moakley	0.0775874
Hecht	0.0775362
Maruyama	0.0775104
Lambright	0.077388
Fino	0.0773715
Daley	0.0773323
Devine	0.0772257
Tsang	0.0771681
Leyland	0.0771609
Hamid	0.0771582
Naumann	0.077071
ISSEL	0.077065
Cink	0.0770534
Bodine	0.0768809
Schmid	0.0767931
Contreras	0.0767522
Sahadi	0.0765471
Werner	0.0765177
Brazile	0.0764957
Holl	0.0763882
Bavasi	0.0763672
Rudenstine	0.0763594
Quintana	0.0763428
Azizah	0.0763104
Iglesias	0.0763083
Gossage	0.0762724
"administration official"	0.0761216
))
(bratwurst (desc 1635.67) (sims
sauerkraut	0.134338
"hot dog"	0.129109
"cold cuts"	0.12596
burgers	0.119707
pretzel	0.118461
brisket	0.11694
sparerib	0.114801
"chicken sandwich"	0.114666
fajitas	0.112406
Hamburger	0.111562
"chicken wing"	0.110166
cheeseburger	0.108813
"french fries"	0.10542
tenderloin	0.103883
sausage	0.103727
burger	0.100865
cutlet	0.0979192
"chicken breast"	0.0971739
dumpling	0.0926261
"filet mignon"	0.0921334
nacho	0.0903765
taco	0.090126
kebab	0.0899153
chorizo	0.0845237
"scrambled egg"	0.0844698
steak	0.0823111
"leg of lamb"	0.0820213
"chicken salad"	0.080748
ham	0.0789092
"beef tenderloin"	0.0759999
salami	0.0755647
"corn chip"	0.075476
seafood	0.0752358
macaroni	0.0748791
slaw	0.0748138
Burrito	0.074285
meatloaf	0.0739229
"ginger ale"	0.0738149
Tamale	0.0729703
calamari	0.070449
Cheddar	0.0675443
"black olive"	0.0659099
"ground beef"	0.0655254
veal	0.0647222
pickle	0.064239
Chili	0.0633621
bonbon	0.0632552
"pot roast"	0.0625673
veggie	0.0625413
Hock	0.0619235
quiche	0.0619103
"pork tenderloin"	0.0616845
mutton	0.0615424
tuna	0.061391
noodle	0.0610492
"rack of lamb"	0.0607343
gizzard	0.0602463
bluefish	0.0600698
ravioli	0.0597876
"dirty joke"	0.0590961
quail	0.0581164
meatball	0.0579227
"green salad"	0.0576091
"loaf of bread"	0.0570528
"collard greens"	0.0569641
oreo	0.0568836
sushi	0.0563868
laxative	0.0560492
omelette	0.0556609
polenta	0.0556392
"blue cheese"	0.0555992
venison	0.0554379
herring	0.0551599
gravy	0.0550675
horseradish	0.0549037
hummus	0.0547883
crawfish	0.0545788
mussel	0.0542693
scallop	0.0542379
"cottage cheese"	0.054172
booze	0.0536734
"corned beef"	0.0536336
squid	0.0534937
clam	0.0532167
eel	0.052684
hotdog	0.0520742
"roast beef"	0.0515228
tofu	0.0513828
"dried fruit"	0.0510667
"Bud Light"	0.0507177
Parmigiano-Reggiano	0.0506509
ale	0.0505845
"fresh food"	0.0502661
"cut of meat"	0.0499469
pear	0.0497226
cornbread	0.0496996
sardine	0.0495046
halibut	0.049269
KIMCHI	0.0489246
"water chestnut"	0.0488603
radicchio	0.0487283
enchilada	0.0487053
"French toast"	0.0483148
tequila	0.0482954
chutney	0.0481053
plantain	0.0479514
"sea bass"	0.047634
guacamole	0.0476058
"green pepper"	0.0473122
"white meat"	0.0471792
"pork belly"	0.0469537
"spaghetti sauce"	0.0464445
Twinkies	0.0463284
"raw vegetable"	0.0463263
coleslaw	0.0463136
mozzarella	0.0458782
pastrami	0.0455222
focaccia	0.0455158
Margarita	0.0454806
kraut	0.0454717
WordPerfect	0.0450909
Wheaties	0.04507
baloney	0.0448711
Collard	0.0447481
cabbage	0.0446493
"cat food"	0.0446084
"iceberg lettuce"	0.0445926
bun	0.044197
"soda pop"	0.044078
Martini	0.0439535
mackerel	0.0437003
condiment	0.0435779
prosciutto	0.0434817
lager	0.0434423
Sirloin	0.0433195
"salad dressing"	0.0432585
grouper	0.0429908
Cognac	0.0428048
grits	0.0427516
brie	0.0426502
"Caesar salad"	0.0425381
doughnut	0.0422404
chilies	0.0419313
popsicle	0.0418729
granola	0.0416288
"bok choy"	0.0415189
frankfurter	0.0413797
gingerbread	0.0413118
airman	0.0410924
spaetzle	0.0409581
"spring roll"	0.040743
offal	0.0406841
birdbath	0.0406824
"fresh fish"	0.0406032
Beringer	0.0405203
pinata	0.0404947
grub	0.0402666
"short ribs"	0.040148
"chocolate mousse"	0.0401303
mollusk	0.0400754
))
(Braugher (desc 806.36) (sims
Cleese	0.114966
Klemperer	0.100961
Gooding	0.0996639
Costner	0.0992174
Sheedy	0.0958104
Broderick	0.0908136
Grammer	0.0895907
Streep	0.0853024
Carrey	0.0851202
"Wesley Snipes"	0.084763
Sealy	0.0830753
"Jimmy Smits"	0.0800558
Andreychuk	0.07977
Malkovich	0.0784265
"Burt Lancaster"	0.0780412
Tucci	0.0775956
McKellen	0.0769159
Deneuve	0.0739837
Taufik	0.0739615
"James Earl Jones"	0.0730112
Sommer	0.0725727
Dennehy	0.0724218
"Edward Furlong"	0.0720246
"Henry Fonda"	0.0714519
Stillman	0.0710619
Marceau	0.0708917
Brosnan	0.0708272
McMullen	0.0705754
Gielgud	0.07028
swank	0.0697203
"Jim Harrick"	0.0693292
Pacino	0.0693193
Kurth	0.0692931
"George Clooney"	0.0690766
"Christopher Reeve"	0.0686751
Roberson	0.0685589
"Ethan Hawke"	0.0683032
"Katharine Hepburn"	0.0672346
"Martin Lawrence"	0.0671946
Midler	0.0671171
"Edward Norton"	0.0670888
Fonda	0.0668692
"De Niro"	0.0667187
Flockhart	0.066303
Cavanaugh	0.0660988
GERE	0.0660624
Ryder	0.065834
Stiller	0.065668
Koznick	0.0656596
"Keanu Reeves"	0.065563
"Chris Klein"	0.0655229
Mohr	0.0652651
Winslet	0.0651767
"Stanley Tucci"	0.0651731
Kidman	0.0645887
"Nigel Hawthorne"	0.0643713
Yoakam	0.0643688
"Sally Field"	0.0643455
"Kevin Bacon"	0.0641375
Downey	0.0641092
Hartman	0.0636763
"Mark Wahlberg"	0.0635637
Switzer	0.0634213
Ruggiero	0.063255
Sheehy	0.0630495
Durant	0.0629798
Sadie	0.0627202
DiCaprio	0.062701
"Matthew McConaughey"	0.0626479
"Ian Holm"	0.0624989
Susann	0.0624423
Cusack	0.0622403
Juppe	0.0622075
Marchand	0.0622069
"Jamie Foxx"	0.0620911
Paltrow	0.0620894
McConaughey	0.0616429
Bjork	0.0612013
"Jeremy Irons"	0.0611819
"Phenix City"	0.0610292
Chenoweth	0.061005
"Alicia Silverstone"	0.060839
Branagh	0.0608132
"Albert Brooks"	0.0607798
"Ally Sheedy"	0.0607564
"Sidney Poitier"	0.0606409
"James Van Der Beek"	0.0606289
Edberg	0.0604941
"Richard Gere"	0.0604857
Maguire	0.0601714
Caray	0.0600542
"Burt Reynolds"	0.0599164
Esiason	0.0598483
"Alfre Woodard"	0.0597658
"DON JOHNSON"	0.0596253
Counsell	0.0595745
Tuttle	0.0594921
Brewster	0.0594887
Allard	0.0594566
"Merle Haggard"	0.0589949
McDOWELL	0.0589666
Hoch	0.058957
"Dame Judi Dench"	0.0589212
"Anthony Hopkins"	0.0587297
"Spencer Tracy"	0.0586264
REEVE	0.0586138
Blanchett	0.0586106
"Holly Hunter"	0.0585732
Harrelson	0.0584203
Baerga	0.0582945
Schell	0.0582474
"Richard Burton"	0.0582284
Villalonga	0.058185
Zellweger	0.0581709
Saramago	0.0581381
Bogart	0.058107
Gottlieb	0.0580773
"Kate Winslet"	0.0580442
Kealy	0.057885
Neely	0.0577009
Doherty	0.0576884
Djorkaeff	0.0574577
"Jimmy Stewart"	0.0574319
"Speaker Ali Akbar Nateq-Nouri"	0.0572978
"Jennifer Love Hewitt"	0.0570076
"Ted Danson"	0.0568698
Barrymore	0.0567618
Cliburn	0.0567128
"Kevin Kline"	0.0566734
McKenna	0.0566557
Keitel	0.0564682
Keaton	0.0564596
BANDERAS	0.056456
"Secretary General Esmat Abdul-Meguid"	0.0564294
Clive	0.0562858
Tillman	0.0562352
Caine	0.0559282
Fiennes	0.0557915
"Heather Graham"	0.0557304
Myhrvold	0.0556839
Talebi	0.0556626
"Jodie Foster"	0.0556216
Heche	0.0555731
"Steve McQueen"	0.0554942
Bocelli	0.055467
cannonball	0.0552752
Kamensky	0.055211
Clooney	0.0551007
Lansky	0.0550871
Schroder	0.0549846
Nolte	0.0549756
"Carlos Salinas"	0.0547946
"Glenn Close"	0.054619
Paxton	0.0544342
"Lee Hsien Loong"	0.0543523
Janssen	0.0542798
Weil	0.0542543
Collymore	0.0541643
"Michael J. Fox"	0.0541366
"Chow Yun-Fat"	0.0541183
DeVito	0.05404
Flanagan	0.0539502
Diggs	0.0539238
"Denzel Washington"	0.0538728
Strauss-Kahn	0.0538312
Schoenfeld	0.0537592
Zhirinovsky	0.0536749
Redgrave	0.0536505
Farnsworth	0.0536135
Laudrup	0.053609
"John Cusack"	0.0535246
"Michael Olowokandi"	0.0534746
Whitacre	0.0534634
"Val Kilmer"	0.0534594
Arnott	0.0534418
Shandling	0.0534335
"Natalie Portman"	0.0534102
"Gregory Peck"	0.0534096
"Caroline Kennedy"	0.0533722
Coppola	0.0533558
"Jessica Lange"	0.0533076
Klinsmann	0.0533035
"Taye Diggs"	0.0531724
Bech	0.0531015
"Jackie Chan"	0.0530546
Nedved	0.0529761
"Stephen Rea"	0.0529652
Duchovny	0.0528691
"James Woods"	0.052779
Voskuhl	0.0526645
Sehorn	0.0525712
"Robert DeNiro"	0.0525474
"William Hurt"	0.0524909
Kuchar	0.0524594
"Joan Allen"	0.0523626
"Tom Selleck"	0.052268
Nesby	0.0522036
Bening	0.0521135
Mathews	0.0520351
Matthau	0.0519949
))
(Braun (desc 3551.78) (sims
Remington	0.107409
Finkel	0.0955701
Gullikson	0.0927101
"Weight Watchers"	0.0923096
Bubb	0.0863873
Cowan	0.0805413
Rubenstein	0.0800454
Coen	0.0796606
Bergeron	0.079244
Summitt	0.0782498
Weisman	0.0757464
Ebersol	0.0754327
Vogel	0.0751125
Brandt	0.0743508
Hybl	0.0740946
Fleischer	0.0739553
Leibovitz	0.0736756
Silverstein	0.073279
Lessig	0.0727813
Davidson	0.0722126
Rendell	0.0721859
Verney	0.0720432
Meissner	0.0718839
Wenger	0.0717294
"Jack Valenti"	0.0715568
Naumann	0.0713499
Hanley	0.0707432
Rosenthal	0.0704389
Butterworth	0.0700121
Bavasi	0.0698217
Billick	0.0691675
Copeland	0.0686858
"Tom Johnson"	0.0680221
Cyrix	0.0679327
Heinrichs	0.0679061
Vogts	0.0672376
Davie	0.0672357
Hanna	0.0670595
McCurry	0.0669712
Myhrvold	0.0668214
Auerbach	0.066687
Singson	0.0666516
Hurley	0.0665652
Duffy	0.0663036
LaPierre	0.0661043
Duracell	0.065719
Elliot	0.0655107
Piot	0.0651931
Ainge	0.0648064
Dempsey	0.0643701
Passarella	0.0643583
Zuckerman	0.0643246
Talebi	0.0641346
Erving	0.0638748
Brownback	0.0634825
Cashman	0.0633289
Rollins	0.0631812
Polian	0.0631108
Amway	0.0629238
"Dave Campo"	0.0628636
Moonves	0.0626412
Levi	0.0626259
"Rich Brooks"	0.0624508
Azinger	0.0624346
Cahill	0.0623696
Donnan	0.062006
Joklik	0.0619968
beamer	0.0619952
Okada	0.0619878
Nickerson	0.0618437
Advani	0.0615359
McNamara	0.0614589
Atwood	0.0613744
Lockyer	0.0612767
Daniels	0.0611252
Hayden	0.0610799
Hoddle	0.060959
Sather	0.0609422
Rutherford	0.0608123
Bustamante	0.0606077
Morse	0.0605006
"administration official"	0.0604979
Conroy	0.0603914
Solich	0.0603076
Lowry	0.0603021
Hahn	0.0602361
Menino	0.0601881
Kennard	0.0601339
Quintana	0.0601079
Beazley	0.0600442
Moser	0.0600086
TALBOT	0.0599529
Ferrer	0.0596973
Sampson	0.0595526
McGuire	0.0594369
Beilin	0.0593341
Shinn	0.0592991
Prewitt	0.0591418
Bochy	0.0591389
D'Alessandro	0.0590236
Babcock	0.0589681
Chao	0.0589111
Bhattarai	0.0588687
Rosenberg	0.0587476
Larson	0.058615
Siegel	0.058361
Carollo	0.0583524
Waxman	0.0582923
Solis	0.0582907
Davies	0.0582822
Engelberg	0.0582386
Iglesias	0.0582251
Hawke	0.0581497
Jovanovic	0.0581392
Schuerholz	0.0579543
"skin care"	0.0579175
Brock	0.0577723
Reiner	0.057542
Poole	0.0575346
Ponciano	0.0575064
Strauss-Kahn	0.0573853
Jaffe	0.0573701
Cortines	0.0573335
Gossage	0.0571226
"De la Cruz"	0.0570015
Gillespie	0.0569929
Laudrup	0.0567857
Setzer	0.056783
Hyman	0.0567336
Azizah	0.0566642
"Frank Joklik"	0.0565992
Mandelson	0.0564961
"Kraft Foods"	0.0564216
diagnostics	0.0564175
Camdessus	0.0564079
Weil	0.0562643
Kyl	0.0562065
Ganassi	0.0561174
Tropicana	0.0559947
Wolfson	0.0559199
DiCicco	0.0558213
Goldin	0.0557203
Inhofe	0.0556652
Tomlin	0.0555156
Hagen	0.0554759
Sommer	0.0554616
Valenti	0.0552463
O'Sullivan	0.0552002
Jacquet	0.0551869
Shulman	0.0551749
O'Connell	0.055152
Grossman	0.0551394
Layden	0.055137
Rao	0.0551363
"La Russa"	0.0551055
Gillick	0.0550005
Ulrich	0.0549805
Neilson	0.0547056
Behr	0.0546743
Milbury	0.0546472
Energizer	0.0546047
eyewear	0.0545879
Rudenstine	0.0545244
Scharping	0.0544295
Krugman	0.0544069
Beckwith	0.0542396
Sobel	0.0542391
Kessler	0.054173
Zucker	0.0539969
Epstein	0.053976
Satcher	0.0539401
Shields	0.0539158
Nasrallah	0.053909
Tanui	0.0538468
nance	0.0538402
Eastman	0.0538016
Mustafa	0.053787
Bowden	0.0536046
Grunwald	0.0534915
Schmid	0.053437
Aurelio	0.0534188
Newhouse	0.0533722
Donohue	0.0533437
"building product"	0.0533234
Nasser	0.0533051
Boldon	0.0532609
Berman	0.0530527
Danner	0.0530182
Coelho	0.0529449
Gogel	0.052933
Reinsdorf	0.0529019
Kaye	0.0528989
Gaston	0.0528938
"frozen foods"	0.0528569
McGinnis	0.0528248
Lehane	0.0527854
Sahadi	0.0527655
Durant	0.0527486
Devine	0.0527275
Mckee	0.0526674
))
(bravado (desc 10913.3) (sims
humility	0.105902
candor	0.0913559
brashness	0.0876879
swagger	0.0869874
modesty	0.0851534
arrogance	0.0829449
exuberance	0.0809034
earnestness	0.0808227
flair	0.0804324
charm	0.0775656
sarcasm	0.077388
enthusiasm	0.0758402
aggressiveness	0.0741557
clarity	0.0741356
hyperbole	0.0733146
whimsy	0.073177
excitement	0.0731019
gumption	0.0730712
understatement	0.0719452
verve	0.071459
self-confidence	0.0705176
eloquence	0.0704804
naivete	0.0704548
brilliance	0.0702979
passion	0.0698663
cleverness	0.0694799
courage	0.0693796
humor	0.0688455
wit	0.0687306
confidence	0.0686029
tenacity	0.0685002
cockiness	0.068118
originality	0.0680603
optimism	0.066746
bluster	0.0666878
sophistication	0.0664203
guile	0.0662824
nonchalance	0.0660954
fervor	0.0660658
hauteur	0.0659665
stamina	0.0656678
determination	0.0654019
composure	0.0653717
chutzpah	0.0652527
sincerity	0.0652157
pride	0.065204
glamour	0.0647106
spontaneity	0.0641653
intellect	0.0641302
elegance	0.0640226
irreverence	0.0637796
nostalgia	0.0636837
sadness	0.0635057
bluntness	0.0628986
exasperation	0.0619294
virility	0.0616258
audacity	0.0615253
posturing	0.0614504
spunk	0.0614279
"good humor"	0.0614079
compassion	0.0611166
flamboyance	0.0611117
warmth	0.0610458
beauty	0.0601419
aplomb	0.059933
toughness	0.0598231
grit	0.0596884
machismo	0.0596709
worldliness	0.0594759
emotion	0.0594533
charisma	0.0592965
ebullience	0.0591572
camaraderie	0.0589532
smugness	0.0589331
irony	0.0588784
patience	0.0587252
ardor	0.0586941
hubris	0.0586601
weirdness	0.0585991
pathos	0.0585503
persona	0.0585096
Panache	0.0581982
honesty	0.058109
zeal	0.0580075
fortitude	0.0577004
opportunism	0.0575635
angst	0.0574569
playfulness	0.0572057
vigor	0.0571956
empathy	0.0571195
sweetness	0.0571053
willpower	0.0569386
ingenuity	0.0568377
"wishful thinking"	0.0567825
"sense of humor"	0.0567444
poignancy	0.0566993
dignity	0.0565942
solemnity	0.0563383
paranoia	0.0560952
wisdom	0.055998
fantasy	0.0556598
silliness	0.0554433
desperation	0.0553709
demeanor	0.055333
sentimentality	0.0552956
gamesmanship	0.0552331
joy	0.055079
"common sense"	0.0550785
intelligence	0.0549659
personality	0.0548752
reverence	0.054855
insouciance	0.0547932
ambition	0.0547757
hype	0.0547346
cowardice	0.0546223
frankness	0.0546192
nonsense	0.0545685
overstatement	0.0545091
resilience	0.0544161
subtlety	0.0543508
suspense	0.0543406
trepidation	0.0543156
admiration	0.0542505
rhetoric	0.0542458
savvy	0.0541748
virtuosity	0.0541001
grandeur	0.0540484
grace	0.0539234
Innocence	0.0539119
ego	0.0536928
idealism	0.0536574
baloney	0.0535236
perseverance	0.0533258
generosity	0.0531988
temper	0.0531677
showmanship	0.0529052
intensity	0.0528068
tenderness	0.0527861
elation	0.0527071
hesitation	0.0524891
gusto	0.0524072
agility	0.0521812
curiosity	0.0521463
boldness	0.0520755
drawl	0.0520056
awe	0.0519967
exaggeration	0.0518208
hoopla	0.0517545
pomp	0.0515993
bitterness	0.0514314
explosiveness	0.0513803
fluidity	0.0512715
accent	0.0512678
dexterity	0.0511574
"sour grapes"	0.0509592
oomph	0.0509428
symbolism	0.0508971
frustration	0.050848
shyness	0.0507768
Bombast	0.0505984
affection	0.0505709
graciousness	0.0505224
firepower	0.0502719
derring-do	0.050259
politeness	0.0501906
artistry	0.0500283
stupidity	0.0499776
banter	0.0498825
exhilaration	0.0498467
simplicity	0.0498295
Creativity	0.0498019
deftness	0.0498001
persistence	0.0497386
sensibility	0.0497365
hypocrisy	0.0496561
versatility	0.0496512
anxiety	0.049559
vitality	0.0495433
erudition	0.049501
immaturity	0.0494359
meanness	0.0494333
nervousness	0.0493791
introspection	0.0493442
ferocity	0.0493119
precision	0.0491648
prowess	0.0491376
daring	0.0490354
inventiveness	0.0489653
self-pity	0.0489521
realism	0.0488882
intuition	0.0488775
"good will"	0.048873
heroism	0.0486134
chauvinism	0.0486106
greatness	0.0485956
fatalism	0.0485138
"bad luck"	0.0484916
giddiness	0.048408
stereotype	0.0483429
hopefulness	0.0483255
))
(brave (desc 77700.8) (sims
Mets	0.278392
ASTROS	0.276717
dodger	0.272532
"Atlanta Braves"	0.272223
Padre	0.271737
Yankee	0.264176
"Red Sox"	0.255612
cub	0.248416
mariner	0.244324
diamondback	0.239832
Phillies	0.235527
Giants	0.229867
Orioles	0.223224
ranger	0.222088
Sox	0.218859
marlin	0.217273
"blue jay"	0.216263
"White Sox"	0.2128
cardinal	0.208224
"New York Mets"	0.202683
"New York Yankees"	0.20245
A's	0.197825
"devil ray"	0.19577
angel	0.193672
Royals	0.193154
"Cleveland Indians"	0.179468
"Boston Red Sox"	0.177393
"Los Angeles Dodgers"	0.17603
pirate	0.174988
Indian	0.172884
Expo	0.171904
"Chicago Cubs"	0.170832
brewer	0.161876
"San Diego Padres"	0.161872
"Texas Rangers"	0.161327
Cleveland	0.160728
"Cincinnati Reds"	0.158862
"Houston Astros"	0.155914
"Florida Marlins"	0.154786
"Tampa Bay"	0.154255
Rockies	0.152281
"Baltimore Orioles"	0.150545
"St. Louis Cardinals"	0.150225
Atlanta	0.1468
"Anaheim Angels"	0.146064
Knicks	0.145547
Lakers	0.145415
red	0.143461
"Chicago White Sox"	0.142053
"Detroit Tigers"	0.14148
bruin	0.140797
"San Francisco Giants"	0.140111
tiger	0.139844
"Arizona Diamondbacks"	0.138487
pacer	0.137645
"Montreal Expos"	0.135984
cowboy	0.1359
"Colorado Rockies"	0.135515
"Oakland Athletics"	0.134727
Oakland	0.134309
"Pittsburgh Pirates"	0.133821
Cincinnati	0.13289
Baltimore	0.132316
"Milwaukee Brewers"	0.132108
Toronto	0.132064
"Toronto Blue Jays"	0.132058
"Kansas City Royals"	0.131863
ANAHEIM	0.130367
"Seattle Mariners"	0.129766
"St. Louis"	0.129302
Detroit	0.128952
"San Diego"	0.128722
team	0.127181
patriot	0.125343
Eagles	0.12415
twin	0.123877
"Philadelphia Phillies"	0.123793
Celtics	0.12227
falcon	0.120754
Boston	0.120586
Milwaukee	0.119753
Seattle	0.11957
Seahawks	0.118928
Arizona	0.118296
BEARS	0.118196
Trojan	0.117743
bronco	0.116972
Pittsburgh	0.115398
oiler	0.115288
Montreal	0.114692
packer	0.113978
"Tampa Bay Devil Rays"	0.113546
Sonics	0.113064
"Los Angeles Lakers"	0.112958
clipper	0.112829
"Minnesota Twins"	0.112234
devil	0.112146
ram	0.111988
bull	0.111869
"Red Wings"	0.110923
Redskin	0.110629
Houston	0.10969
wildcat	0.109608
Colorado	0.109106
Viking	0.108308
"New York Giants"	0.107572
"Chicago Bulls"	0.106104
Minnesota	0.105638
spur	0.10489
panther	0.1047
yank	0.104612
hawk	0.10396
"New York Knicks"	0.103589
husky	0.102615
islander	0.102032
Dallas	0.101759
sabre	0.100768
Chicago	0.100427
Philadelphia	0.0999018
"San Antonio Spurs"	0.0997559
maverick	0.0988385
Maddux	0.098017
"Indiana Pacers"	0.0976555
Bengals	0.0968825
"Kansas City"	0.0965896
USC	0.0956712
"Dallas Cowboys"	0.0950832
Longhorn	0.0950718
raider	0.0938342
bulldog	0.0931599
UCLA	0.0929051
"Utah Jazz"	0.092671
flyer	0.0925187
"American League"	0.0922719
pitcher	0.0921144
coyote	0.0917729
"Houston Rockets"	0.0915779
charger	0.091521
dolphin	0.0913951
"Detroit Red Wings"	0.091235
"Washington Redskins"	0.0907932
sixer	0.0905716
Canuck	0.0903407
Canadiens	0.0896545
"National League"	0.0896193
Steelers	0.0893577
buckeye	0.0888042
Seminoles	0.0884409
Texas	0.0879894
club	0.0878964
piston	0.0878813
MetroStars	0.0877111
Portland	0.0875019
athletics	0.0874546
titan	0.0874003
NL	0.0873757
"Trail Blazers"	0.0870173
"New York Jets"	0.0866675
"Minnesota Vikings"	0.0866289
Martinez	0.0862498
Buffalo	0.086215
"Maple Leafs"	0.0861063
"Denver Broncos"	0.0860879
colt	0.0860166
cavalier	0.0855499
Denver	0.0853071
"Green Bay"	0.0849227
hitter	0.0848684
"Miami Dolphins"	0.0847639
Aggies	0.0845182
"Miami Heat"	0.0842892
"Edmonton Oilers"	0.0839277
"Florida State"	0.0838466
"San Francisco"	0.083637
"Chicago Bears"	0.083549
blazer	0.0835073
matador	0.0833065
"St. Louis Rams"	0.0830173
LSU	0.0826848
"Mighty Ducks"	0.0823496
Miami	0.0822973
"Dallas Stars"	0.082133
Edmonton	0.0820038
Hingis	0.0818985
Sparks	0.0818489
"San Francisco @@ers"	0.0815699
Hornet	0.0812023
Glavine	0.0811363
"Sacramento Kings"	0.0811114
"D.C. United"	0.0810661
"Cleveland Browns"	0.0808799
game	0.0808061
Jazz	0.0807921
Tennessee	0.0805701
"New York Rangers"	0.0802913
jet	0.0800708
Clemens	0.080037
"Michigan State"	0.0800124
king	0.0799991
Carolina	0.0798034
))
(Braveheart (desc 2838.15) (sims
Schindler	0.111687
"Forrest Gump"	0.0814577
"English Patient"	0.0748972
"Saving Private Ryan"	0.0733633
Armageddon	0.0715167
Girlfight	0.0698288
"American Beauty"	0.0681804
"Jerry Maguire"	0.0626495
"Truman Show"	0.060302
"Lethal Weapon @"	0.059623
Antz	0.0572011
Tootsie	0.0570982
"Deep Impact"	0.0567184
"Life Is Beautiful"	0.0565799
"Coyote Ugly"	0.0562473
"Mighty Joe Young"	0.0547659
"Double Jeopardy"	0.0534297
U-@@@	0.0527666
Amistad	0.0513973
Riverdance	0.0508823
"Hollow Man"	0.0498185
"Natural Born Killers"	0.0488052
Gladiator	0.0487722
"Opium War"	0.0482914
"Dirty Dancing"	0.0482822
"Thin Red Line"	0.0476333
"Michael Collins"	0.0453436
"Rat Pack"	0.0452939
"Jurassic Park"	0.0452478
"Anne Frank"	0.0443386
"Raging Bull"	0.044207
"Blade Runner"	0.0441234
"Cradle Will Rock"	0.04375
"Kim Basinger"	0.0432109
Zorro	0.0427719
"Eyes Wide Shut"	0.0426983
"Space Cowboys"	0.0422245
Gielgud	0.0422057
Beowulf	0.0421687
"Sleepy Hollow"	0.0414912
"Fight Club"	0.0411617
entrapment	0.0410567
Dracula	0.0409241
"Jane Fonda"	0.0406861
"Cruel Intentions"	0.0403912
))
(bravery (desc 11051.5) (sims
valor	0.293039
heroism	0.242996
courage	0.201888
gallantry	0.15876
dedication	0.145821
fortitude	0.138235
perseverance	0.133946
boldness	0.129783
generosity	0.124191
tenacity	0.123457
stamina	0.122724
resilience	0.117958
"hard work"	0.117316
statesmanship	0.117305
persistence	0.116398
professionalism	0.115806
honesty	0.11421
resourcefulness	0.113364
sportsmanship	0.113152
patience	0.112664
humility	0.112144
patriotism	0.110576
toughness	0.109239
self-discipline	0.108813
determination	0.106987
selflessness	0.10591
poise	0.105009
decency	0.10476
decisiveness	0.104731
compassion	0.103465
excellence	0.101774
diligence	0.100861
endurance	0.100842
Sacrifice	0.0992836
competence	0.0984119
ingenuity	0.0980259
loyalty	0.0970368
kindness	0.0967293
intellect	0.0958099
wisdom	0.0944712
unselfishness	0.0942185
foresight	0.0937496
devotion	0.0918397
Creativity	0.0913222
dignity	0.0910745
self-sacrifice	0.0909299
grace	0.0889452
skill	0.0882077
resiliency	0.0874984
achievement	0.087213
integrity	0.0869478
brilliance	0.0864107
candor	0.0858319
sincerity	0.0849468
firmness	0.0844914
gentleness	0.0841206
acumen	0.0840371
teamwork	0.0818998
daring	0.0816431
strength	0.08072
agility	0.0802057
modesty	0.0799956
willingness	0.0796001
"sense of responsibility"	0.0792455
durability	0.0780683
originality	0.0778353
athleticism	0.0778294
aggressiveness	0.0773376
dexterity	0.0772249
maturity	0.0755945
"staying power"	0.074968
intelligence	0.0732654
versatility	0.0731854
trustworthiness	0.0724769
charisma	0.0714799
spunk	0.0711624
accomplishment	0.0710264
farsightedness	0.0709305
willpower	0.0706234
prowess	0.0704369
deed	0.0701163
talent	0.069979
wit	0.0697179
eloquence	0.0696381
discipline	0.0691459
proficiency	0.0687379
deeds	0.0682171
pride	0.0681346
flexibility	0.0676019
tolerance	0.0675644
passion	0.0675479
vigor	0.0674585
quickness	0.0673814
faith	0.0671377
sensitivity	0.0667953
warmth	0.0665091
restraint	0.0665021
spirit	0.0664997
fearlessness	0.0663982
fairness	0.0663488
greatness	0.0660825
civility	0.0659583
graciousness	0.0656866
steadfastness	0.065604
manhood	0.0654435
sophistication	0.065434
confidence	0.064952
hospitality	0.0645833
ethic	0.0644356
enthusiasm	0.0641858
self-control	0.0641225
"common sense"	0.0641034
dynamism	0.0640108
nobility	0.0630826
explosiveness	0.0629396
ruthlessness	0.0628408
stupidity	0.0627669
solidarity	0.0623996
self-confidence	0.0621691
elegance	0.0619785
clarity	0.0619659
truthfulness	0.0619042
magnificence	0.0618267
prudence	0.0617134
ferocity	0.0613458
empathy	0.0613212
adaptability	0.0611905
consistency	0.0608101
arrogance	0.0606072
humor	0.0605498
grit	0.0604753
Cunning	0.0602468
faithfulness	0.0597443
vitality	0.0592821
derring-do	0.0590862
beauty	0.058699
imagination	0.0586271
"good will"	0.0584644
guile	0.0584378
instinct	0.0581095
cohesion	0.0579813
chutzpah	0.057949
"sense of humor"	0.057917
altruism	0.0579036
savvy	0.0578847
"good fortune"	0.0577154
self-restraint	0.0575554
goodwill	0.0573763
virtuosity	0.0570925
vigilance	0.0570205
stoicism	0.0569428
brutality	0.0568708
Openness	0.0568273
Innocence	0.0566832
barbarity	0.0563902
calmness	0.05621
composure	0.0558312
unity	0.0554821
suffering	0.0550773
ambition	0.0549656
seriousness	0.0547415
charm	0.0547207
pragmatism	0.0544821
individuality	0.054154
genius	0.0538449
precision	0.0537957
conscience	0.0537725
martyrdom	0.0537664
greed	0.0536444
frailty	0.0535717
buoyancy	0.0533631
effectiveness	0.0529566
mettle	0.0528735
artistry	0.0527612
virility	0.0527073
self-respect	0.0526238
zeal	0.0525789
morality	0.0525517
"good humor"	0.0525273
contrition	0.052176
forbearance	0.0521603
tact	0.0520614
efficiency	0.0520019
motivation	0.0519887
combativeness	0.0519687
desperation	0.051869
cowardice	0.0518385
cruelty	0.0518218
bipartisanship	0.0516119
"military service"	0.0514748
probity	0.0513749
intensity	0.0513495
capability	0.0512552
purity	0.0511317
depth	0.0509469
superiority	0.0506425
vulnerability	0.0505707
flair	0.050521
merit	0.0504829
self-reliance	0.0504037
))
(bravo (desc 4696.04) (sims
"Turner Classic Movies"	0.105562
TNT	0.0889771
C-Span	0.0847091
Showtime	0.0826072
"USA Network"	0.0825704
HBO	0.0790318
VH@	0.0769959
"Animal Planet"	0.0768624
UPN	0.0757937
"Comedy Central"	0.0752697
"TV Land"	0.0740424
CNBC	0.0675533
"Black Entertainment Television"	0.0655968
jeer	0.0651646
"History Channel"	0.0643453
CBS-TV	0.0630143
TNN	0.0629064
Nickelodeon	0.0619201
ABC-TV	0.0615496
"Court TV"	0.0605333
PBS	0.0600897
MTV	0.0587357
Mcbride	0.0585496
Whipple	0.0568159
MSNBC	0.0568081
Gallo	0.0566575
"Discovery Channel"	0.0563866
ZDTV	0.0561954
"Dateline NBC"	0.0554714
Madden	0.0524955
ABS-CBN	0.0519733
Brazile	0.0518891
Albrecht	0.0518855
"Food Network"	0.0517905
"cable television"	0.0513858
Mucha	0.0490416
ESPN@	0.048849
"Estados Unidos"	0.0486033
WB	0.048508
amen	0.0484576
Woolley	0.0476717
Randa	0.0475822
Kurth	0.0471777
BBC	0.0469078
Serna	0.0466924
Greenwald	0.0466348
Tb	0.0463319
"Nashville Network"	0.0462071
Welton	0.0459938
"Joe-Max Moore"	0.0459203
Currier	0.0458362
Mundo	0.0457009
McDonnell	0.0452617
Caguan	0.045135
Jaffe	0.045003
McIntyre	0.0446494
Ricci	0.0445666
"Fox News"	0.0444946
Toro	0.0443132
Batistuta	0.0435267
Lange	0.0434218
Banda	0.0434088
Jo	0.04333
carotene	0.0433146
Farrell	0.0433128
Oliveira	0.0432849
Scruggs	0.0432448
"Davor Suker"	0.0428092
Hendrickson	0.0424941
"Turner Sports"	0.042186
Bergkamp	0.0419853
QVC	0.0418425
Guerin	0.0417677
Chenoweth	0.0417244
"cable network"	0.0413965
Trevi	0.0412632
Lowry	0.0411686
Ferraro	0.0411664
Meissner	0.0411214
"Channel @"	0.0411122
Griffiths	0.0410701
Witherspoon	0.041013
FX	0.0409156
"little leaguer"	0.0408914
Jensen	0.0406802
Nieuwendyk	0.0404897
Reichel	0.0404856
"Cartoon Network"	0.0404617
"Golf Channel"	0.0404302
Tilberis	0.0403741
))
(bravura (desc 3521.79) (sims
physicality	0.0702191
derring-do	0.0696761
virtuosity	0.0688426
willpower	0.0665131
punchy	0.065379
daring	0.0613953
"Act @"	0.0600283
cappella	0.058831
flamboyance	0.0568526
flamenco	0.0555857
"Peking Opera"	0.0551619
scat	0.0546417
uptempo	0.0535631
Opry	0.0522344
"spoken word"	0.0517481
"tour de force"	0.0508578
minimalist	0.0484329
clunky	0.0478901
brinkmanship	0.0472038
hands-on	0.0471209
collaborative	0.0464383
"face saving"	0.0463096
bravado	0.0462539
O'Neal's	0.0462151
genitalia	0.0461452
flair	0.0460267
klezmer	0.0459859
yuletide	0.0451349
"good humor"	0.0445848
selfishness	0.0444029
selflessness	0.0441734
special-teams	0.0440314
charisma	0.0438464
"wonder drug"	0.0437785
acumen	0.0436724
"martial art"	0.0436604
sassy	0.0431996
"music hall"	0.0429825
glitz	0.0427415
finesse	0.042243
minstrel	0.0418336
athleticism	0.0417601
razzle-dazzle	0.0417316
"sex appeal"	0.0416898
heroism	0.0416777
eloquence	0.0415699
gamesmanship	0.0414709
opportunism	0.0411444
lovemaking	0.0410569
overlong	0.0409218
breakout	0.0408822
explosiveness	0.0406584
scuba	0.0404984
ingenuity	0.0404368
one-night	0.0403796
"German language"	0.0403764
ardor	0.0402208
"avant garde"	0.0401539
calypso	0.0400991
nuttiness	0.040075
exertion	0.0400615
))
(brawl (desc 31344.8) (sims
melee	0.230972
scuffle	0.18427
altercation	0.161586
clash	0.13006
fight	0.126211
riot	0.126046
fracas	0.123927
confrontation	0.11764
fistfight	0.116665
incident	0.109329
skirmish	0.109078
rioting	0.105226
disturbance	0.101418
feud	0.100686
shootout	0.100375
battle	0.0998302
gunfight	0.0981812
gunbattle	0.0979818
quarrel	0.0956041
firefight	0.0944037
slugfest	0.0920791
free-for-all	0.0917483
shoot-out	0.0890059
squabble	0.0882536
violence	0.087855
showdown	0.0870909
unrest	0.0870319
rampage	0.0836997
standoff	0.0836726
encounter	0.0829141
holdup	0.0827384
raid	0.0821021
fighting	0.0818033
demonstration	0.0814725
explosion	0.0805524
bloodbath	0.0797771
duel	0.0797141
shooting	0.0793819
massacre	0.078708
killing	0.0785947
firestorm	0.0780427
dispute	0.07791
revolt	0.0773709
"bomb blast"	0.07735
"price war"	0.0770091
rivalry	0.0769485
robbery	0.0768284
outburst	0.0762128
tussle	0.0760568
struggle	0.0759928
debacle	0.0759572
accident	0.07588
bloodshed	0.0757122
Collision	0.0756656
protest	0.0756641
controversy	0.075276
slaying	0.0745331
uprising	0.0738146
debate	0.0733181
conflict	0.0732057
spat	0.0726117
"civil war"	0.0723601
frenzy	0.0721825
crash	0.0720956
"exhibition game"	0.0715835
firefights	0.0704302
war	0.0703158
rainout	0.0702036
spree	0.0696438
bombing	0.0695719
scare	0.0693657
assault	0.0683352
blaze	0.0680407
blast	0.0679165
scrum	0.0676024
beating	0.0675099
tragedy	0.0674915
mayhem	0.067472
doubleheader	0.0674614
bout	0.0671603
mutiny	0.067157
stampede	0.0671426
"takeover battle"	0.0669111
mishap	0.0666858
shootouts	0.0666388
conflagration	0.0665981
contest	0.0664559
fisticuffs	0.0663919
rebellion	0.066205
warfare	0.0661399
coup	0.065941
tug-of-war	0.0656295
argument	0.065626
tirade	0.0656134
selloff	0.0654588
hijacking	0.0653267
scandal	0.0652722
orgy	0.0651941
eruption	0.0648118
dustup	0.0647842
manhunt	0.0642964
inferno	0.0642421
dogfight	0.0638761
collapse	0.0637684
walkout	0.0637108
derailment	0.0634959
furor	0.0634678
"coup attempt"	0.0634663
assassination	0.063335
ruckus	0.0628908
ambush	0.0628902
opener	0.0628136
"fatal accident"	0.0626118
wrangle	0.062286
"wrestling match"	0.0619756
heist	0.0614513
wreck	0.0614249
rematch	0.0611801
matchup	0.0611265
"custody battle"	0.0610835
crackdown	0.0609122
strife	0.060291
celebration	0.0599993
murder	0.0598857
pileup	0.0594271
fiasco	0.0588708
"playoff game"	0.0586686
disaster	0.0584991
bickering	0.0584654
"arms race"	0.0583827
scrimmage	0.058368
tiff	0.0581563
Quake	0.0581096
chaos	0.0580952
temblor	0.0578069
"chain reaction"	0.0573948
carnage	0.0573154
uproar	0.0568027
turmoil	0.0567396
ejection	0.0563924
panic	0.0563484
earthquake	0.0561213
storm	0.0560729
looting	0.0560134
flare-up	0.0559221
wrangling	0.0557922
pandemonium	0.0557692
purge	0.0557482
kidnapping	0.0557373
spill	0.0557115
abduction	0.0556779
"baseball game"	0.0556137
fireball	0.055438
meltdown	0.0552485
discussion	0.0551673
"corruption scandal"	0.0550938
workout	0.0548324
firing	0.0547719
sell-off	0.0543899
invasion	0.0543364
brouhaha	0.0540851
break-in	0.0540734
"labor dispute"	0.054059
episode	0.0540274
"race riot"	0.0540273
hostility	0.0536576
bloodletting	0.0534113
spate	0.0534057
run-in	0.0530044
disagreement	0.0528747
"flash flood"	0.0528554
siege	0.0528335
crossfire	0.0526189
crisis	0.0523882
shelling	0.0523046
catastrophe	0.0522916
"pitched battle"	0.0522009
finale	0.0519515
upheaval	0.0518642
outbreak	0.0517647
haggling	0.051423
sparring	0.0512308
"bad blood"	0.0512119
slaughter	0.0510627
festivity	0.0505236
landslide	0.0505089
litigation	0.0502179
burglary	0.0501495
downpour	0.0501493
"military action"	0.0499436
gaffe	0.0499405
bombardment	0.0497003
genocide	0.0496593
"war game"	0.049579
insurrection	0.0495556
"armed robbery"	0.0494948
blackout	0.0494299
"air raid"	0.0493373
"practice session"	0.0491362
crises	0.0491149
))
(brawler (desc 1880.54) (sims
talker	0.0815968
orator	0.0709441
TRUANT	0.0668872
thinker	0.0668689
overachiever	0.0667677
taskmaster	0.066029
punk	0.0643229
dribbler	0.0639306
goofball	0.0629283
bootlegger	0.0619589
womanizer	0.0617928
"art teacher"	0.0616355
"good person"	0.0607269
lifer	0.0603634
philosopher	0.0599702
"public speaker"	0.0595778
newspaperman	0.0594979
puncher	0.0592316
first-rounder	0.0583493
debater	0.0582539
"Wild Man"	0.0578773
whiner	0.0575429
Bostonian	0.0573729
"hockey player"	0.0572321
defaulter	0.0571469
sculptor	0.0571265
"ball club"	0.0567807
cipher	0.0567551
statesmen	0.0567384
Brahmin	0.0564097
underachiever	0.0562951
battler	0.0561201
pugilist	0.0555818
illustrator	0.054218
"leading lady"	0.0541236
"major leaguer"	0.0541071
phenoms	0.0540417
"free spirit"	0.0538864
grinder	0.0537603
goon	0.0534195
moviemakers	0.0533203
calligrapher	0.0532915
hustler	0.0532455
pragmatist	0.0531636
antagonist	0.0530732
brute	0.0530582
agitator	0.0529205
"adventure story"	0.0525482
"tough guy"	0.0523674
looter	0.0520794
firebrand	0.0518964
bloke	0.0518841
"car race"	0.0515552
wonk	0.0514929
flutist	0.0513097
"hard worker"	0.0512407
bum	0.0511365
"bowling ball"	0.050928
tactician	0.0508666
dramatist	0.0507544
banger	0.0506689
vending	0.0502477
strongmen	0.0501353
"Ralph Reed"	0.0497611
"English teacher"	0.0496649
immortal	0.0496544
jock	0.0489504
Rockettes	0.0486843
lashing	0.0486502
hotspots	0.0486336
"white elephant"	0.0481225
violinist	0.0481223
perfectionist	0.0479466
has-been	0.0479053
racehorse	0.0478618
"character actor"	0.0477677
raconteur	0.0476976
wordsmith	0.0476077
songwriter	0.0475549
cabinetmaker	0.0475344
philanthropist	0.0475159
hangout	0.0474275
Litigator	0.0474152
iconoclast	0.0473766
wunderkind	0.0471038
closers	0.0469574
lawbreaker	0.0468829
recluse	0.0467347
"basketball season"	0.0465983
achiever	0.0465072
pallbearer	0.0462084
"New Democrat"	0.0460588
"drug user"	0.0458389
come-on	0.0457186
desperado	0.0456691
Philanderer	0.0456144
"interior decorator"	0.0455756
"Black Panther"	0.0454982
lifter	0.0454562
slacker	0.0453268
Englishmen	0.045281
"prima donna"	0.0452012
courtesan	0.0451641
peddler	0.0451275
theologian	0.0450721
"heavy hitter"	0.045042
panhandler	0.0449169
swashbuckler	0.0448081
duffer	0.0447931
automaton	0.0446873
decorator	0.0446832
"stage director"	0.0446193
"talent scout"	0.0444691
double-teamed	0.0444149
"boy wonder"	0.0443604
"good guy"	0.0442665
storyteller	0.0441856
ex-con	0.0440955
rappers	0.0439058
ex-convict	0.0439029
wrongdoer	0.0438143
"leading man"	0.0437845
idealist	0.0435489
highflier	0.043443
pagan	0.0433554
magician	0.0433399
quarterfinalists	0.0433306
"gold miner"	0.043265
abolitionist	0.043223
essayist	0.0430544
"trial balloon"	0.0430338
miler	0.0429805
redoubt	0.0429037
Hick	0.0428627
"summer house"	0.0428147
"young actress"	0.042732
lunatic	0.0426632
"takeover attempt"	0.0425712
returners	0.0425283
bodybuilder	0.0424025
"big leaguer"	0.0423988
metaphysics	0.0423603
"James Carville"	0.0423578
antsy	0.0422879
gal	0.0422204
"two pitchers"	0.0422167
paring	0.0421027
connoisseur	0.0420698
Trailblazer	0.0417711
socialite	0.0417625
critter	0.0417475
"inferiority complex"	0.0417127
"tax income"	0.0416604
"William Kristol"	0.0416525
"risk taker"	0.041601
crooner	0.0415347
carpetbagger	0.0413218
psychoanalyst	0.0413038
"second person"	0.0411421
"long-distance runner"	0.0410883
"altar boy"	0.0410413
adopters	0.0409616
brat	0.0409294
ruffian	0.0409167
choirboy	0.0409075
bloomer	0.0408699
"margin call"	0.0407857
beggar	0.0407575
"track star"	0.0406856
wimp	0.0406404
"funeral director"	0.0406268
"three pitchers"	0.0404671
in-fighting	0.0403847
"art historian"	0.040352
doer	0.0403031
ballplayer	0.0403027
cartoonist	0.0402042
humorist	0.0401222
Intimidator	0.0400798
"film maker"	0.0400662
"guitar player"	0.0400635
delinquent	0.0400505
"little sister"	0.0400334
))
(Brawley (desc 3179.97) (sims
Broaddrick	0.152489
Sills	0.11393
Willey	0.108501
Tevanian	0.107825
Hersh	0.107137
Moxley	0.105404
Menchu	0.103125
Northup	0.102055
LeFave	0.101112
Sorensen	0.100752
"Patty Hearst"	0.100285
Cooley	0.100151
Kodikian	0.100144
Portnoy	0.0999115
Hamlin	0.0986861
Blumenthal	0.0984627
Farber	0.0975773
Berenson	0.0956687
Grossberg	0.0946276
Fassett	0.0943589
"school girl"	0.0922696
Dench	0.092262
Woodward	0.0915272
Rowan	0.0911604
Mapes	0.0910996
Bhutto	0.0903869
O'Hair	0.0902266
Benton	0.0884525
Whitehead	0.0883201
Rosales	0.0878668
Meissner	0.0877421
Hsia	0.0870431
Kurtz	0.0869267
Turetzky	0.0862451
Cramer	0.0853793
Bacall	0.084832
Grunwald	0.0847844
DeBartolo	0.083804
Rosen	0.0832986
Suarez	0.0822562
McDougal	0.0821797
Hanna	0.082172
Carrera	0.0821032
Capano	0.0820661
Daniels	0.0811741
Kagalovsky	0.0811465
Newhouse	0.0804864
Webdale	0.0801584
LaPierre	0.0800452
Marchand	0.0799587
Felten	0.0797687
Moceanu	0.0797235
Osmond	0.0791844
Edwin	0.0785127
Jensen	0.0780959
Davidian	0.0779403
Keenan	0.0779229
Congeniality	0.0777616
Bronfman	0.0768282
Slatkin	0.0768265
DeFrantz	0.0762956
Seymour	0.0762063
Karr	0.0760099
LOUIMA	0.0757405
Salinger	0.0755607
Fagan	0.0755587
bock	0.0752927
Mucha	0.0752811
"Monica S. Lewinsky"	0.0750367
Steele	0.0749057
Botha	0.0747529
Jarrell	0.0746711
Middleton	0.0745574
Koop	0.0743324
Goldberg	0.0743151
Goldin	0.0741462
Ickes	0.0738077
Soliah	0.073797
Mudge	0.0736813
Eichmann	0.0736426
"Louise Woodward"	0.0735411
Briscoe	0.0734514
Hurley	0.0733219
"Abner Louima"	0.0733096
Clinton-Lewinsky	0.0731594
Abernathy	0.0728488
Bessette	0.0727182
Manbar	0.0727033
Tripp	0.0723235
Barrett	0.0722656
Gonzales	0.0720373
Volpe	0.0717624
Zamora	0.0715635
Barshefsky	0.0715425
McCourt	0.0715242
"Suu Kyi"	0.0711913
Stayner	0.0710379
Chung	0.0710176
Maddox	0.0708837
Benedetti	0.0707918
Rosenberg	0.0700748
Hecht	0.0699974
Fonda	0.0696438
Glaser	0.0695419
Wiggins	0.0692219
Bowers	0.0690445
Knapp	0.0688954
Menem	0.0688796
Nolan	0.0688226
Baum	0.0687782
Musa	0.0685731
Marulanda	0.0685646
Ramsey	0.068438
Podesta	0.0684202
McDonnell	0.0683979
MacKay	0.0683867
Goldstein	0.0683826
Carruth	0.0682456
Ono	0.0679657
Cruz	0.0679605
Chenoweth	0.0678921
Simpson	0.0678062
Fahey	0.0677297
Swenson	0.0676526
Ivey	0.0676487
Murr	0.0675831
Myhrvold	0.0675759
ex-girlfriend	0.0675018
"Paula Jones"	0.0674736
Katzenberg	0.0674574
Rosenthal	0.067368
Colburn	0.0673461
Roque	0.0671243
Townsend	0.067095
Stahl	0.066992
Hess	0.0669296
Dorismond	0.0668678
Emery	0.0665276
hale	0.0664093
Wasserstein	0.066377
Flemmi	0.0662546
Cline	0.0660842
Rossi	0.0660802
Shelton	0.0655396
Tsvangirai	0.0653347
Symington	0.0653054
"Anita Hill"	0.0652245
Perot	0.0651742
Pirro	0.0651462
Mohamed	0.0649652
Brazile	0.0648749
Waugh	0.0648566
Mahoney	0.0644592
Sund	0.0644144
Lowry	0.0643389
stepdaughter	0.0642481
Benex	0.0642189
Abram	0.0641432
FitzPatrick	0.0641145
Ruehe	0.0638599
Weiner	0.0638313
"Kathleen Willey"	0.0636691
Feldman	0.0635574
Sheppard	0.0635389
Quayle	0.0634323
Berman	0.063344
Gotti	0.0632991
Shapiro	0.0632952
Lindsey	0.0632078
Ackerman	0.0631901
Skakel	0.063129
Kingsley	0.0630403
Soares	0.0630099
Koch	0.0629912
Bisek	0.0628299
Lipstadt	0.0626999
Coleman	0.062693
Schumer	0.0626718
Mitnick	0.0626705
"Juan Miguel"	0.0625684
Evans	0.0625152
Taft	0.0624902
schoolgirl	0.0624518
Cisneros	0.0623954
Thayer	0.0623075
Shepard	0.0621911
Vasquez	0.062153
Rendell	0.0620897
O'Hara	0.0620363
Hanley	0.0619334
Gillespie	0.0619229
Schott	0.0618841
Reimer	0.0618518
Vogel	0.0618406
Baez	0.0618129
Lundy	0.0617555
Falater	0.061717
Nivel	0.0615657
Dahmer	0.061538
Wilder	0.0614596
))
(brawn (desc 2231.55) (sims
quickness	0.0784683
finesse	0.0763017
athleticism	0.076105
stamina	0.0741237
brainpower	0.0710845
acumen	0.0698666
musicality	0.0687382
pizazz	0.0686851
agility	0.0654602
chutzpah	0.0626181
"spinal cord"	0.0612484
"Joe Camel"	0.0600769
willpower	0.0594604
originality	0.0591126
firepower	0.057402
dexterity	0.0573604
"sex appeal"	0.0561706
oomph	0.0561017
seniority	0.0554364
explosiveness	0.0553944
"staying power"	0.0541549
aneurysm	0.0538651
razzle-dazzle	0.0535784
heft	0.0532802
exertion	0.0532142
artistry	0.052712
elegance	0.0527104
Pinky	0.052662
subtlety	0.0524863
"central nervous system"	0.052447
grit	0.0523665
wattage	0.0522895
meanness	0.0520944
versatility	0.0518843
charisma	0.0517282
marrow	0.0516925
"drawing power"	0.0516797
quirkiness	0.0511161
intellect	0.0511129
thyroid	0.0508467
supercomputers	0.0505111
inventiveness	0.0499185
spleen	0.0492651
"nervous system"	0.0490562
serendipity	0.0488781
prowess	0.048299
happenstance	0.0480947
togetherness	0.0480132
buoyancy	0.0479267
guile	0.0476363
wideouts	0.0475827
showmanship	0.0474756
adrenaline	0.0471184
hand-holding	0.0465865
willfulness	0.0465463
twang	0.0462972
Propulsid	0.0457225
femininity	0.0454054
tenacity	0.0453497
fortitude	0.0450427
cleverness	0.0448921
"elbow room"	0.0448326
foresight	0.0443246
"nerve cell"	0.0443062
verity	0.0442244
drudgery	0.0441867
earthiness	0.0437823
resourcefulness	0.0437131
"breathing room"	0.0434072
uniqueness	0.0433273
weirdness	0.0432229
endurance	0.0431239
hippocampus	0.0430619
toughness	0.042655
bravery	0.0424901
sass	0.0422947
leptin	0.0419365
durability	0.041719
vitriol	0.0416842
propulsion	0.0414506
"digestive system"	0.0414019
cortex	0.0413549
groundstrokes	0.0411204
accoutrement	0.0410349
poignancy	0.0409401
ferocity	0.0409368
"mushroom cloud"	0.0408977
flavour	0.0407449
functionality	0.0404898
hokum	0.040409
physicality	0.0403721
eloquence	0.0402319
verve	0.0402291
guesswork	0.0402113
))
(Bray (desc 2390.39) (sims
Holley	0.146884
globe.com	0.133005
McNamara	0.123786
Knox	0.108124
jacoby	0.10292
Silverstein	0.0866505
Finkel	0.0839986
Schmid	0.0802501
Rubenstein	0.0797293
Howe	0.0784744
Felton	0.0779732
Ganassi	0.0777104
Sobel	0.0770845
Abernathy	0.076849
Meissner	0.0741003
Fleischer	0.0739857
Guerra	0.0725062
Moakley	0.0719377
Strauss-Kahn	0.0700453
Duffy	0.0694609
Hybl	0.0684746
Copeland	0.0682726
O'Sullivan	0.0680099
Barros	0.0680069
Tomey	0.0673997
Wald	0.0670963
Atler	0.0666744
Ebersol	0.0657981
Boyle	0.0645186
Piot	0.0642368
Azinger	0.0636135
Borbon	0.0628182
Weiner	0.06273
Heinrichs	0.0622502
Okada	0.0619916
Passarella	0.0618814
Engel	0.0617969
Bodine	0.0617933
Slocum	0.0617508
Hartsburg	0.0614541
Woolley	0.0614218
Molinari	0.061333
Merritt	0.0610156
Insulza	0.06068
beamer	0.0605507
Ainge	0.0602547
"administration official"	0.0601702
Hoddle	0.0601346
Rivlin	0.0601228
"Joe Lockhart"	0.0600698
Paxon	0.0599708
Loeb	0.0599221
Solis	0.0594771
Berenson	0.0594665
Mcbride	0.0594436
Kodikian	0.0591668
Nadler	0.0588085
Dunleavy	0.0587854
Mendez	0.0587627
Lehane	0.0587038
Auriemma	0.0586725
Gogel	0.0586707
Cline	0.0584888
Kimble	0.0582967
Winkler	0.0580992
Jacquet	0.0576448
Mandella	0.0575568
Jayakumar	0.0574618
Wolfson	0.0573033
Houghton	0.057216
Gutman	0.0570947
"Bank of Korea"	0.0569889
Beaufort	0.0567816
Schuerholz	0.0567391
Vogel	0.0565734
Steiner	0.0565048
Neff	0.0563648
Bullard	0.0562725
Hanna	0.0561074
Choate	0.0559993
Valenti	0.0559462
Laudrup	0.0559057
Reiner	0.0559038
O'Neil	0.055894
Cowan	0.0558508
Gullikson	0.0556107
Plante	0.055458
Kidder	0.0553884
Bettman	0.0552723
MURTHA	0.055197
Pollack	0.0551696
Kirkpatrick	0.0551634
Reimer	0.0550053
Moog	0.0548864
Polian	0.0548851
Suarez	0.0548135
Kessler	0.0547288
Hauser	0.0545886
Upton	0.0545189
Marineau	0.054288
towers	0.0541554
Davidson	0.0541482
Kuehne	0.0540506
Schiller	0.054022
Triplett	0.0540145
Dewine	0.0539908
Freeman	0.0538646
Atwood	0.0537345
Olsen	0.0536213
McGinnis	0.053501
Edelstein	0.0533798
Waxman	0.0533688
Lamont	0.0533497
Hindery	0.0532703
"National Security Adviser Sandy Berger"	0.0532305
Butterworth	0.0532298
Geiger	0.0532171
Menard	0.0531744
Crabtree	0.0530006
Rosenthal	0.0528876
Andreychuk	0.0528266
Brenner	0.052771
Ratliff	0.0527648
Doyle	0.0526922
Satcher	0.0526447
Henley	0.0526371
hyphen	0.0526253
McCabe	0.0525996
Ponciano	0.0525723
Skiles	0.0523881
Tapia	0.0523662
Milloy	0.0523597
McKenna	0.0523243
Sather	0.0523126
McCourt	0.0523039
Brock	0.0522478
Zambrano	0.0522314
Muckler	0.0520343
Mercado	0.0520324
Rahman	0.0519513
Donnan	0.0518674
Olson	0.051848
Hartley	0.0517789
Murrell	0.051733
Hirst	0.0516993
Wilkens	0.0515751
Benedict	0.0514939
Wenger	0.0514763
Witt	0.0514721
Tuberville	0.0514661
Farrell	0.0514523
Gosper	0.051452
Slaney	0.0514402
Summitt	0.0513709
Gottlieb	0.0513659
Cremins	0.0513337
Markhasev	0.0512797
Holtz	0.0512412
Prewitt	0.051216
"Russell Peeler"	0.051181
McCullough	0.0511396
Morrison	0.0511025
hodgson	0.0510729
Hyman	0.0510607
Calcavecchia	0.051044
Rendell	0.0510213
Soyinka	0.0509091
McDOWELL	0.0508929
Dempsey	0.0508569
Gillespie	0.0508325
Sahadi	0.0508258
Woodard	0.0508074
Grossman	0.0507935
Romanowski	0.0507924
Evernham	0.0506669
Teresi	0.0506259
Whitehead	0.0505557
Kurth	0.0505258
Tran	0.0505188
Harris-Lewis	0.0505159
Goossen	0.0504589
Bidwill	0.0503958
GAGE	0.0503544
Weisman	0.0503169
Appleby	0.0502365
Alexie	0.0502049
Ganga	0.0499979
Zucker	0.0499763
Bergeron	0.0499575
Karr	0.0499506
Azizah	0.0499448
Chao	0.0498265
Weber	0.0497988
Baum	0.0497159
Juppe	0.0495547
Gossage	0.0494655
"Van Raaphorst"	0.0492843
Spence	0.0491934
"de Charette"	0.0491679
Griffiths	0.0491502
))
(Brazil (desc 131914) (sims
Argentina	0.279332
"South Korea"	0.242115
Mexico	0.222051
Italy	0.221226
Japan	0.220024
Australia	0.218996
"South Africa"	0.217816
Thailand	0.217208
Germany	0.217011
Canada	0.214672
Russia	0.210151
Spain	0.209391
Netherlands	0.208442
Colombia	0.205688
France	0.203785
Norway	0.203718
Denmark	0.202934
Romania	0.202661
Venezuela	0.201392
Sweden	0.201298
Chile	0.197115
Peru	0.193077
Ecuador	0.192894
Indonesia	0.192203
Malaysia	0.191436
Uruguay	0.186976
Ukraine	0.185869
Nigeria	0.185689
"New Zealand"	0.185188
"United States"	0.183977
Croatia	0.1821
"Saudi Arabia"	0.180956
Poland	0.180592
Egypt	0.180223
China	0.179198
Bulgaria	0.178985
Belgium	0.178513
Finland	0.176874
Tunisia	0.174427
Hungary	0.17352
Bolivia	0.172863
Cuba	0.172595
"Costa Rica"	0.169763
Paraguay	0.166464
India	0.164758
Portugal	0.164458
Switzerland	0.162524
Britain	0.161287
Austria	0.16032
Zimbabwe	0.156512
England	0.156454
Ghana	0.155745
Iran	0.155616
"Czech Republic"	0.155609
Greece	0.155542
Kenya	0.154849
Philippines	0.154377
Singapore	0.153422
Jamaica	0.153324
Pakistan	0.152778
"Sri Lanka"	0.150193
Guatemala	0.149481
Morocco	0.14753
Vietnam	0.147247
Panama	0.145412
Lithuania	0.143511
Asia	0.14249
Bangladesh	0.140776
Nicaragua	0.140745
Slovakia	0.140578
"El Salvador"	0.139725
Ireland	0.139517
Scotland	0.139079
Kazakhstan	0.138951
country	0.138772
"Latin America"	0.135585
Algeria	0.135456
Zambia	0.13528
Cameroon	0.13486
Angola	0.131026
Turkey	0.130979
"Hong Kong"	0.130643
Europe	0.130131
Honduras	0.129123
"Dominican Republic"	0.127827
Kuwait	0.126751
Iceland	0.12673
Mozambique	0.126455
Belarus	0.126174
Namibia	0.126112
Tanzania	0.125548
Uzbekistan	0.125436
Qatar	0.122924
Myanmar	0.122497
Slovenia	0.122495
Yugoslavia	0.12233
Ethiopia	0.121275
Oman	0.120991
Mongolia	0.12061
Cambodia	0.120041
Uganda	0.119132
"United Arab Emirates"	0.118872
"United Kingdom"	0.118749
Israel	0.11808
Botswana	0.117692
Senegal	0.11617
Luxembourg	0.116061
"Asian country"	0.115641
Africa	0.114101
Korea	0.113813
nation	0.11343
Nepal	0.113217
"Trinidad and Tobago"	0.113152
"North Korea"	0.112313
Fiji	0.111975
Libya	0.11181
U.S.	0.111266
"Puerto Rico"	0.109888
"Republic of Korea"	0.108929
"The Netherlands"	0.108747
Haiti	0.108744
Latvia	0.108715
"South America"	0.10826
Brunei	0.107837
"European country"	0.107606
"Southeast Asia"	0.107458
Albania	0.106602
region	0.106561
Georgia	0.106245
Taiwan	0.105747
Estonia	0.105233
Bahrain	0.105167
Jordan	0.104719
"Asian nation"	0.104521
"Ivory Coast"	0.104514
Holland	0.103697
"Great Britain"	0.10292
Mali	0.102759
Yemen	0.102709
Sudan	0.102685
Armenia	0.10254
Moldova	0.101991
"Papua New Guinea"	0.10198
Guyana	0.101226
"African country"	0.101222
Laos	0.101127
Iraq	0.100447
Syria	0.099622
America	0.0993064
Barbados	0.099165
Malta	0.0969018
"Chinese Taipei"	0.0964544
Gabon	0.0964084
EU	0.0961812
"North America"	0.0956047
UAE	0.0955461
Macedonia	0.0947024
Wales	0.0942041
Guinea	0.0934252
Florida	0.091611
Arizona	0.0912907
"European Union"	0.0911966
Lebanon	0.0909353
California	0.0908502
Cyprus	0.09073
Mauritius	0.0906439
Barcelona	0.0905067
Shanghai	0.0905054
ROK	0.0901992
Malawi	0.0899424
UK	0.0894016
Texas	0.088394
"Martina Hingis"	0.0883392
Turkmenistan	0.0878018
Washington	0.0875377
Congo	0.0873077
Afghanistan	0.087058
"DPR Korea"	0.0867625
Kazakstan	0.0867056
"New York"	0.0866301
BEIJING	0.0866059
Connecticut	0.0859828
"Real Madrid"	0.0857932
"South American country"	0.0857531
"Soviet Union"	0.0857251
"Manchester United"	0.0855394
Moscow	0.0855015
"East Asia"	0.0852942
"Burkina Faso"	0.0852594
Detroit	0.0852388
Hingis	0.0849715
"Lindsay Davenport"	0.0849601
state	0.0849172
Dallas	0.0843769
Azerbaijan	0.084218
mainland	0.0841419
Swaziland	0.0837974
"Pete Sampras"	0.0835775
Togo	0.0835132
"Western Europe"	0.0830342
))
(Brazile (desc 965.169) (sims
Fiorina	0.210403
Wolfson	0.172059
Tilberis	0.153362
Pearce	0.152697
Markovic	0.149561
Walser	0.145193
Goldin	0.144965
Zadornov	0.144605
Slatkin	0.13617
Pape	0.13291
Haines	0.132489
Jaffe	0.130521
LaPierre	0.129868
Rosenthal	0.129368
Arbour	0.12763
Gullit	0.127517
Mucha	0.127336
Vogel	0.126051
Stacy	0.125345
Rowley	0.125182
Beckwith	0.123029
Wagoner	0.123021
Farber	0.122216
Barad	0.121865
Abram	0.121779
Garber	0.12153
Cleary	0.121416
Sakakibara	0.121315
Briscoe	0.120779
Chubais	0.120479
hodgson	0.120356
Molinari	0.120108
hough	0.119958
Advani	0.119749
Bellamy	0.11962
Betts	0.118928
Sorensen	0.118034
Sommer	0.117948
bock	0.117939
Nasrallah	0.117405
Adler	0.117351
Deneuve	0.11701
Ftorek	0.116871
Wasserstein	0.116647
Iger	0.116552
Cline	0.116415
Hartley	0.116392
Cianci	0.115975
Lundberg	0.115342
Rowe	0.113552
Arens	0.113175
Mullen	0.113091
Greco	0.113003
Townsend	0.112576
Stephenson	0.112487
Garvey	0.112453
Meissner	0.11221
Hamlin	0.112058
Duisenberg	0.112039
krueger	0.111247
Gaffney	0.111204
Donohue	0.110336
Finneran	0.110154
Gilman	0.110019
Merritt	0.109966
Reimer	0.109705
Fabius	0.109154
Hauser	0.108742
Hodler	0.108247
Arron	0.108166
Cramer	0.108077
Connell	0.108035
Rivlin	0.10803
Moratinos	0.10774
Rutherford	0.107669
Rodionov	0.107556
Bulatovic	0.107425
Yastrzhembsky	0.106918
Maslyukov	0.106719
O'Hara	0.106308
Mckee	0.105634
D'Alessandro	0.10506
Greenwald	0.104743
Nemtsov	0.104696
Tobin	0.104538
Orton	0.104236
Feldman	0.103709
Ono	0.103669
Manuel	0.103638
Orban	0.103589
Grachev	0.102819
Quackenbush	0.102491
Barshefsky	0.102246
Ruthardt	0.101715
Lau	0.101358
Andreessen	0.10117
FitzPatrick	0.101158
Lockwood	0.10115
Oliveira	0.10102
Farrell	0.100815
Manley	0.100765
Ackerman	0.100473
Masire	0.100079
Henning	0.0998371
Dungy	0.0996225
Flockhart	0.0992791
Kulikov	0.0990793
Pierson	0.0990003
Jensen	0.0986836
Kirkpatrick	0.0986423
Theron	0.0986313
Kerik	0.0982225
Tuttle	0.0981053
Ciampi	0.098067
Carmichael	0.0979677
Mandelson	0.0978955
Moscoso	0.0978831
Milbury	0.0977581
Callahan	0.0977227
Marquez	0.0976995
DeFrantz	0.0972824
Harman	0.0972584
COYNE	0.0971852
Ishihara	0.0969445
Quintero	0.0967525
Myhrvold	0.0966292
Nilsson	0.0963726
Gallagher	0.0961211
Seligman	0.0960914
Lowey	0.0959263
Boyle	0.095916
Penders	0.0957307
Menchu	0.0956874
Coelho	0.0956317
Weizman	0.0952554
Kingsley	0.0952175
Ozawa	0.0952081
Ghalib	0.095099
Guerin	0.0950793
Grunwald	0.0950371
Ruehe	0.0949806
Talebi	0.0948288
Hawke	0.0947028
Atkinson	0.094668
Tharp	0.0945955
Podesta	0.0945366
O'Connell	0.0944839
Madden	0.0943237
Upshaw	0.0940586
Brundtland	0.0939202
Bassett	0.09359
Chadwick	0.0935322
Fernandes	0.0934234
Sheedy	0.093357
Jung	0.0932755
Lurie	0.0932271
Kornberg	0.0931533
Hecht	0.0930764
Lehmann	0.0928946
Barnett	0.0928906
Wiggins	0.092564
Popovich	0.0925616
Kurth	0.0923604
Mortimer	0.0922646
Midler	0.0922293
O'Sullivan	0.0921999
McCormack	0.0921298
Beazley	0.0918982
Jeffers	0.0918551
Rubinstein	0.091773
Schuessel	0.0916048
Marceau	0.091589
Garza	0.0915685
Edelstein	0.0914452
Hickman	0.09142
Dodik	0.0912421
Yoon	0.0911864
Stith	0.0911498
Ahern	0.0910791
Hamid	0.0909932
Edson	0.0908647
Keenan	0.0907411
Shulman	0.0906999
Solich	0.0906912
Pruett	0.0904654
Mohamed	0.0903665
Morley	0.0902629
Tait	0.0902497
Daft	0.0901715
Janssen	0.0900238
Weiner	0.0898898
Lowery	0.0898689
Giles	0.0896791
Chu	0.0896363
McFadden	0.0896319
MIYAZAWA	0.0895654
Kurtz	0.0895533
Morse	0.0894838
Couric	0.0894233
Holl	0.0893945
))
(Brazilian (desc 25715.1) (sims
Briton	0.136662
Mexican	0.136553
Argentine	0.135912
Austrian	0.135212
Italian	0.131433
Spaniard	0.130736
Norwegian	0.130466
Canadian	0.129775
German	0.126922
Swede	0.125695
Venezuelan	0.124284
Peruvian	0.123653
Colombian	0.120726
Indonesian	0.120548
Russian	0.120155
Swiss	0.118623
Chilean	0.11723
Filipino	0.11707
Australian	0.115427
Japanese	0.112578
Belgian	0.111843
Bulgarian	0.109052
"South African"	0.108919
Koreans	0.108217
Vietnamese	0.107187
American	0.106529
Hungarian	0.105515
Ukrainians	0.10522
Cuban	0.105078
Jamaican	0.104286
Iranian	0.103991
"South Koreans"	0.103504
Bolivian	0.102678
Romanian	0.101917
Dutch	0.101827
Lebanese	0.101823
Kenyan	0.10174
Malaysian	0.101124
Thai	0.100342
Chinese	0.0982739
Nigerian	0.0980242
Finn	0.0974439
"New Zealander"	0.0971733
European	0.0967231
Haitian	0.0964576
Czech	0.0960984
Californian	0.0925648
Taiwanese	0.0924788
Indian	0.0921293
Panamanian	0.0913825
Frenchman	0.091361
British	0.0912935
Jordanian	0.0899838
Moroccan	0.0892894
Dane	0.0887345
African	0.0879584
Egyptian	0.0879181
Scots	0.0875028
French	0.0856966
Turk	0.0856832
Saudi	0.085508
Greeks	0.0847279
Paraguayan	0.0846622
Iraqi	0.0844982
Cambodian	0.0844423
Israeli	0.0835494
Frenchmen	0.083316
Ethiopian	0.0829566
Kuwaiti	0.0827308
foreigner	0.0826625
Singaporean	0.0821498
Yugoslav	0.08141
Pakistani	0.0810344
Angolan	0.0808442
Tanzanian	0.0807324
Portuguese	0.0803654
Irish	0.0800912
Georgian	0.0800224
Beijingers	0.0796964
Asian	0.079613
Guatemalan	0.0795593
Seles	0.079048
Bangladeshi	0.0789732
Algerian	0.0789259
citizen	0.0767058
Nicaraguan	0.0765645
Swedish	0.0762025
Mozambican	0.0753486
Dominican	0.0748488
Moya	0.0746207
Zimbabwean	0.0744855
Liberian	0.0738056
Ugandan	0.0737
Texan	0.073288
Zambian	0.0730477
"Puerto Rican"	0.073016
Syrian	0.072809
"Latin American"	0.0727186
Cypriot	0.0726234
Nepalese	0.072126
Sampras	0.0720446
Kafelnikov	0.0719185
Cornhusker	0.0718333
"Steffi Graf"	0.0716526
rios	0.0714427
tourist	0.0714305
Agassi	0.0714078
Kuerten	0.0712882
Uruguayan	0.0709256
westerner	0.0707365
Parisian	0.0706781
"New Yorker"	0.0704492
"blue devil"	0.0703453
husky	0.0702907
Honduran	0.0701706
Guinean	0.0696486
Croatian	0.0696477
"Tar Heels"	0.069546
"Sanchez Vicario"	0.0693648
Danish	0.0690481
Davenport	0.068891
Congolese	0.0686609
Salvadoran	0.0683767
resident	0.0682119
Tunisian	0.068176
national	0.0679652
"South American"	0.0675718
Arizonan	0.0675337
"D.C. United"	0.0671567
"Martina Hingis"	0.0670291
bruin	0.0669826
Cuban-Americans	0.0667055
Spanish	0.0667047
Namibian	0.0666655
Brazil	0.0666183
farmer	0.0665615
investor	0.066504
"Red Wings"	0.0664167
Sudanese	0.0664131
Lithuanians	0.0663305
"Sri Lankans"	0.065528
Bosnians	0.0652257
bronco	0.0651971
Hingis	0.0650574
Eritrean	0.0646617
Yugoslavian	0.0645677
Rafter	0.0642984
"Monica Seles"	0.0641263
Novotna	0.0637229
MetroStars	0.0636994
Afghan	0.063632
Tibetans	0.0635361
wildcat	0.0634978
Muscovite	0.0634726
Minnesotan	0.0633636
Gremio	0.0633389
businessmen	0.0630983
"New Englander"	0.0630127
Latino	0.0629006
Kurds	0.0628029
immigrant	0.0625574
"Chicago Fire"	0.0624891
"Sergi Bruguera"	0.0623895
Graf	0.0622587
"Venus Williams"	0.0621517
Spartan	0.0620205
Scot	0.0619893
Philippoussis	0.0619661
Hakkinen	0.06196
Jayhawks	0.0618278
"Marcelo Rios"	0.0617946
Rusedski	0.0617816
Malay	0.0617687
Hispanic	0.0615529
"Carlos Moya"	0.0615307
youngster	0.0614909
Croats	0.0613582
pacer	0.0613328
dinar	0.0613215
Popov	0.0612459
Eagles	0.0612331
golfer	0.0611925
Jew	0.0611652
"Pete Sampras"	0.0611191
Arab	0.0610966
"Albert Costa"	0.0610898
Palestinian	0.0610631
Ecuadoran	0.0609925
Longhorn	0.060865
Croatians	0.0608104
Cruzeiro	0.0606717
cowboy	0.060257
"Lindsay Davenport"	0.060186
"Real Madrid"	0.0601009
"Sierra Leonean"	0.0600797
Ecuadorian	0.0600387
migrant	0.0599844
"Mary Pierce"	0.059886
"San Franciscans"	0.059758
Floridian	0.0597417
))
(Brazill (desc 1269.87) (sims
Baumhammers	0.19295
"Maturino Resendiz"	0.15217
Bly	0.141189
Lileikis	0.140604
Palczynski	0.137508
Stayner	0.135747
Edwin	0.13501
furrow	0.13036
Sweeting	0.129617
Lacresha	0.12668
"Maturino Resendez"	0.120155
Mease	0.12003
Hensley	0.118339
"El Hage"	0.118198
Berle	0.11717
Jenoff	0.116098
"Michael Skakel"	0.113532
Karr	0.113265
Skakel	0.113194
Hiett	0.113036
Lundy	0.109496
Mattysse	0.109439
Crocker	0.108116
Gauthe	0.105596
Valenzuela	0.104689
Shatner	0.103929
Nate	0.102757
Mitnick	0.102509
Laudor	0.100725
Giacchetto	0.100706
Fassett	0.100592
Ozersky	0.0994312
Jelisic	0.0992325
Maharaj	0.0990941
looper	0.0983713
Sheinbein	0.0983433
Kehoe	0.0973685
Faget	0.0959785
Merlino	0.0953764
Shoate	0.0951047
Ntuyahaga	0.0946302
Figueroa	0.0942253
"Leigh Ann"	0.0936395
Daigle	0.0931111
Limon	0.0927972
Biskind	0.0925008
Martorano	0.0919904
Bonner	0.0919696
LeFave	0.0916707
Hazen	0.0914603
Matasareanu	0.0908609
"Marianne Gingrich"	0.0901681
Collymore	0.0891985
Weston	0.0891302
Fech	0.0889979
Sarsour	0.0884913
"Cindy McCain"	0.0877917
Tarver	0.0876106
Nathaniel	0.0873386
Neulander	0.0870583
Warshaw	0.0865929
Baugh	0.086585
Levesque	0.0863827
Hindery	0.0861024
McMellon	0.0849737
Soliah	0.0845045
Abram	0.0836663
Falater	0.0835685
Noe	0.0831048
McKinney	0.0828098
"Russell Peeler"	0.0826198
Bowers	0.082472
Mapes	0.0819684
Kodikian	0.0818689
Robison	0.0813016
Kip	0.0813008
Paciello	0.0810047
Odeh	0.0804506
"Cary Stayner"	0.0803603
Marinovich	0.0802963
Kimes	0.0800358
"Patsy Ramsey"	0.0792077
Asprilla	0.0791768
Musa	0.0789835
Jewell	0.0788469
McWilliams	0.0787947
Berenson	0.0787653
Abernathy	0.078685
Prewitt	0.0786751
Christy	0.0786682
Nasrin	0.0783535
Carollo	0.0778216
Kagalovsky	0.0777722
Schmitz	0.0771799
Vasquez	0.0771779
Rhonda	0.0768065
Finkel	0.0767496
Blackthorne	0.0763424
Hoke	0.0762266
Cavanaugh	0.0761686
Kinkel	0.0760631
Phelan	0.0759808
Mendez	0.0754953
"David Graham"	0.0751687
Callie	0.0750013
Yoon	0.0749513
Schweitzer	0.0749187
Al-Amin	0.0747167
Maher	0.0743762
Kornberg	0.0740827
Corey	0.0739134
Kimball	0.07384
Carneal	0.0738315
Ochoa	0.0738211
Yadav	0.0738014
Strauss-Kahn	0.0736988
Morley	0.0736904
Boller	0.0736172
McDuff	0.0735757
Cary	0.0731399
Antley	0.073128
Egan	0.0729895
Uliassi	0.0729545
Baez	0.0726463
Copeland	0.0721879
Hersh	0.0719907
Yarnall	0.0719662
Eubanks	0.0719584
Ince	0.0719108
Paulina	0.0718822
Grimsley	0.0717102
Kerik	0.0714445
Maag	0.0713766
Solomon	0.0713763
Liggett	0.0713371
Whalen	0.071284
Ntakirutimana	0.0711274
Hamid	0.0710759
Cordero	0.0709923
Fortier	0.0709147
Manbar	0.070873
Orr	0.0708728
Teresi	0.0707707
"Louise Woodward"	0.0706541
Cassie	0.0705991
Imperatori	0.070505
Zamora	0.0704442
STACEY	0.0701063
Cleary	0.0699036
Wilkerson	0.0696521
Alcorn	0.0696218
Bergeron	0.0694571
Evan	0.069358
Whitacre	0.0692425
Romanowski	0.068953
Yoo	0.0686896
Goran	0.0685262
Tomlin	0.0685189
Ashbrook	0.0684198
Hage	0.0683244
Sharma	0.0682539
ex-girlfriend	0.0682383
Oakley	0.0682325
bailiff	0.0680798
Christensen	0.0680039
Jarrell	0.0679479
Markovic	0.06785
Gravano	0.0677986
Kurtz	0.0676944
Natale	0.067458
Allan	0.0673811
Maruyama	0.0673797
Agca	0.067304
Chmura	0.0672137
DiCarlo	0.0671383
Napolitano	0.0670647
Ingraham	0.0670555
Einhorn	0.0670549
Moceanu	0.0670085
Mikhailov	0.0669095
Bibby	0.0668852
BURNHAM	0.0668348
Abbas	0.0667923
Rosales	0.0667717
Priebke	0.0666475
Roussel	0.0666029
Kopp	0.0665005
Lazarenko	0.0663919
Habib	0.0662838
"Ray Lewis"	0.0659006
Sacco	0.0658153
Ouattara	0.0656977
Resendez-Ramirez	0.0656102
Molina	0.0655164
Fabius	0.065364
Leibovitz	0.0652542
McCourt	0.0651293
Gullit	0.0651205
Duvalier	0.0651156
McIntosh	0.0649323
))
(Brazzaville (desc 12011.1) (sims
Kinshasa	0.209808
Bissau	0.162039
Bangui	0.159408
Kisangani	0.148751
Dushanbe	0.147626
Monrovia	0.142931
Asmara	0.138585
Goma	0.130687
Kabul	0.129414
Kigali	0.12912
Ambon	0.12876
Freetown	0.126135
Chisinau	0.125726
"Phnom Penh"	0.124581
Algiers	0.124232
Abidjan	0.123899
Mogadishu	0.122905
Bujumbura	0.121035
Dili	0.119657
Grozny	0.118392
"Guatemala City"	0.117949
"Democratic Republic"	0.11755
Libreville	0.117267
Belfast	0.117208
Khartoum	0.116813
Yerevan	0.116321
Sarajevo	0.115598
"La Paz"	0.115498
"Democratic Republic of the Congo"	0.115342
Quito	0.114949
Skopje	0.113617
Lubumbashi	0.113293
Srinagar	0.112952
HARARE	0.112606
TIRANA	0.112467
Nairobi	0.111782
DRC	0.110381
Lusaka	0.109322
Bishkek	0.109028
KAMPALA	0.108927
Riyadh	0.108742
Vladikavkaz	0.108695
Zaire	0.108656
Conakry	0.108378
Tashkent	0.108101
BOGOTA	0.107805
Luanda	0.107752
Guinea-Bissau	0.10742
Port-au-Prince	0.107338
Minsk	0.106553
TEGUCIGALPA	0.106223
Tbilisi	0.104751
Baku	0.104527
Asuncion	0.104382
Tripoli	0.103788
Rabat	0.103585
Mbabane	0.10312
Vilnius	0.102834
"Santo Domingo"	0.102401
"Addis Ababa"	0.102191
Pristina	0.102186
BUCHAREST	0.101419
Amman	0.100495
"Sierra Leone"	0.100345
Kuito	0.100295
KIEV	0.100166
"East Timor"	0.100001
Katmandu	0.0997202
Podgorica	0.0990612
JOHANNESBURG	0.098969
Gaborone	0.098655
BRATISLAVA	0.098576
SOFIA	0.098443
Bukavu	0.0978767
MAPUTO	0.0975942
Beirut	0.0974097
COLOMBO	0.0971742
Congo	0.0971231
Lhasa	0.0958732
"Port Moresby"	0.09536
Windhoek	0.0945421
Karachi	0.0943585
Lome	0.0941043
Taloqan	0.0940037
Moroni	0.0935883
YANGON	0.0934909
SANAA	0.0934288
MANAMA	0.0933151
Jakarta	0.0933138
ZAGREB	0.0927468
Dakar	0.0925473
Mazar-e-Sharif	0.0923511
Lima	0.0915514
Lagos	0.0911361
Jayapura	0.0911185
"San Salvador"	0.090941
SEOUL	0.0906972
"Tel Aviv"	0.0905604
WARSAW	0.0896864
Pretoria	0.0896601
"Mexico City"	0.0891487
"Kuala Lumpur"	0.0889339
Jalalabad	0.0888461
Yaounde	0.0886971
Maseru	0.0886837
DHAKA	0.0884859
"Democratic Republic of Congo"	0.0880879
Makhachkala	0.0880601
CARACAS	0.0880245
Hebron	0.0879562
Liberia	0.0874229
CAIRO	0.0873448
Accra	0.0870873
Ljubljana	0.087069
Mitrovica	0.086986
Islamabad	0.0865648
Durban	0.0864153
"Congo Republic"	0.0862747
Kathmandu	0.08615
CHENGDU	0.0861274
Havana	0.086087
Dublin	0.0858347
Damascus	0.0856587
Istanbul	0.0854336
BUDAPEST	0.0848612
Peshawar	0.0845244
Manila	0.0844237
"Albanian capital"	0.0843829
"Buenos Aires"	0.083889
Baghdad	0.083648
Tehran	0.0834555
Mombasa	0.0833774
Santiago	0.0832304
Huambo	0.0831411
ANKARA	0.0829713
Tapachula	0.0826881
Albania	0.0825647
Muscat	0.0819161
Uvira	0.0817876
Jaffna	0.0814826
Astana	0.0810618
Kindu	0.0805252
BLANTYRE	0.0801244
BELGRADE	0.0796969
Suva	0.0796759
Afghanistan	0.0794315
HANOI	0.0793235
"Ulan Bator"	0.0792636
LISBON	0.0792569
"Sao Paulo"	0.0791671
Tallinn	0.0789907
NICOSIA	0.0789859
Burundi	0.0787644
Baidoa	0.0784633
Hyderabad	0.0783844
"Dar es Salaam"	0.078286
Kunming	0.0778037
Halifax	0.0777824
Bamako	0.0776143
Yinchuan	0.0773541
Quetta	0.0773052
ATHENS	0.0772616
Xian	0.0770668
STOCKHOLM	0.0769632
Kandahar	0.0767237
"San Juan"	0.0767043
"New Delhi"	0.0765976
Calcutta	0.076474
"Guinea Bissau"	0.0762911
Wellington	0.0762501
Delhi	0.0761882
Jeddah	0.0759687
Bangkok	0.075739
Gudermes	0.0753772
Taipei	0.0752333
Brisbane	0.075202
Tuzla	0.0751674
Durres	0.0750991
Honiara	0.0750915
Chennai	0.074979
Prague	0.0749684
Doha	0.074953
"African nation"	0.0749222
PATNA	0.0749211
Maluku	0.0749161
Managua	0.0743449
TUNIS	0.074318
Manado	0.0741803
Macedonia	0.074131
Vientiane	0.0740362
Urumqi	0.0739546
Riga	0.0737089
Paris	0.0736066
Kupang	0.0734257
Abuja	0.0733737
Chechnya	0.0731679
Atambua	0.0730835
Bengkulu	0.0729641
PALERMO	0.0728557
Naples	0.0727097
))
(Brcko (desc 4592.77) (sims
Mostar	0.146087
"Banja Luka"	0.139088
Pailin	0.133359
Prijedor	0.126964
Kizlyar	0.115324
Vukovar	0.113969
Orahovac	0.113028
Batticaloa	0.107333
Sevastopol	0.106145
Badme	0.105359
Makeni	0.104646
Tuzla	0.103416
Marjayoun	0.102567
Juba	0.102385
Posoltega	0.0996758
Urosevac	0.0986231
"Eastern Slavonia"	0.0963595
Mbarara	0.0952266
Beersheba	0.0946454
Mitrovica	0.0930853
"Beibu Gulf"	0.0921518
Baalbek	0.0908185
Haifa	0.0904299
Nagorno-Karabakh	0.090302
Mankulam	0.0902314
Matadi	0.0901914
Rafah	0.0888694
Warri	0.0884027
Trincomalee	0.0875595
Nazareth	0.0868621
Golcuk	0.0868303
Hebron	0.0865482
"Abu Dis"	0.0855942
Gulu	0.0853815
Srebrenica	0.0852028
Tachilek	0.0844563
Gudermes	0.0838692
Leskovac	0.0833635
Izmit	0.0831133
Dundalk	0.0830205
Durres	0.0823691
Bamiyan	0.0815089
Jezzine	0.0812177
Ashkelon	0.0810805
"Suva Reka"	0.0810697
Kalemie	0.0810584
Weimar	0.081017
Kisangani	0.0808632
Limassol	0.080786
Princeville	0.0798101
Larnaca	0.079807
PEC	0.079784
Baotou	0.0796615
Decani	0.0793382
Mazar-i-Sharif	0.079075
Uvira	0.0788366
Ibadan	0.077767
Sylhet	0.0773913
Novosibirsk	0.0771545
Kukes	0.0770569
Atambua	0.077029
Hillsboro	0.0769209
"Del Rio"	0.0765186
Taloqan	0.0763948
Baidoa	0.0757751
Kisumu	0.0754225
Kismayu	0.0753504
Prizren	0.0752208
Wallingford	0.0751486
Abkhazia	0.0744819
Malisevo	0.0744601
Argun	0.0743842
Nabatiyeh	0.0739891
Zhangjiakou	0.0737971
Khulna	0.0736716
Sarajevo	0.0736191
Srbica	0.0731177
Dunhuang	0.0730488
Lhokseumawe	0.0730094
"Novi Sad"	0.0729722
Ensenada	0.0728079
Arua	0.0724806
Brockton	0.0724799
Yekaterinburg	0.0724457
CHT	0.0722546
Baoding	0.0720075
Beira	0.0716331
Kandy	0.0714575
Nago	0.0714223
Guayaquil	0.0711753
Ismailia	0.0704668
Bailundo	0.0699208
Blackpool	0.0698728
Pancevo	0.0692721
Nakuru	0.0691982
Mbale	0.0689687
Bethlehem	0.0689287
Macoris	0.0686637
"San Pedro Sula"	0.0682717
Jalalabad	0.0679806
Cacak	0.0679804
Astana	0.0679461
Vitoria	0.0679431
Murmansk	0.0672237
Lianyungang	0.067212
"San Cristobal"	0.06671
Malaga	0.0664746
Livingstone	0.066391
Bukavu	0.066213
Aachen	0.0660035
Salonika	0.0659125
Zhangjiajie	0.0657689
Chester	0.0657596
Gisenyi	0.0657502
Ambon	0.0656834
Jenin	0.0656108
Kilinochchi	0.065509
Matamoros	0.0653642
Zhangzhou	0.0650174
Irbil	0.064634
Kismaio	0.064487
Jaffna	0.0643625
Saida	0.0643087
Casas	0.0639956
Catania	0.0639182
Turpan	0.0637965
Najaf	0.0636491
"East Jerusalem"	0.063574
Mombasa	0.0635369
Juarez	0.0632293
Urus-Martan	0.0630435
Dubrovnik	0.0627539
Hastings	0.0626779
"Mazari Sharif"	0.0625845
Chittagong	0.0625105
Golan	0.062259
Manado	0.0621843
Kupang	0.0619416
Kailahun	0.0619294
Junik	0.0618404
Talipao	0.0617334
Kano	0.0616796
Qinhuangdao	0.0615775
Kashmir	0.0615447
Shali	0.0614864
Odessa	0.0613087
Ur	0.0612403
Gnjilane	0.0612315
Jericho	0.0611585
Sihanoukville	0.0610937
Greenwich	0.0609213
Ballymoney	0.0607179
Carthage	0.0607012
"Western Sahara"	0.0606864
Zhongguancun	0.0605731
ZHOUSHAN	0.0604604
Vavuniya	0.060177
Anshan	0.0599007
Nablus	0.0597932
Chamonix	0.0597753
Sanya	0.0596656
Walkerton	0.0595663
Haicheng	0.059231
Khabarovsk	0.0591763
Kragujevac	0.0591431
Djakovica	0.0590891
Arad	0.0590798
BRIGHTON	0.0589432
Claremont	0.0589256
Lubumbashi	0.0589208
Krakow	0.0588458
Antalya	0.0587496
"Temple Mount"	0.0586981
Cordova	0.0586449
NIS	0.058296
Golmud	0.0578293
Laredo	0.0576331
"Port Elizabeth"	0.0575947
Quanzhou	0.0575698
Multan	0.0575658
Kasese	0.0574263
"Crystal City"	0.0573559
Mazar-e-Sharif	0.0573487
Bursa	0.0571034
"Port St. Lucie"	0.0570792
Skaneateles	0.0564725
Vlore	0.0564009
Aswan	0.0562944
Montclair	0.0558724
"Diaoyu Islands"	0.0558016
Sochi	0.0555586
Chappaqua	0.0555259
Dalian	0.0554012
"Kosovska Mitrovica"	0.0552371
Anjouan	0.054938
"Ciudad Juarez"	0.0549041
Jamestown	0.0548811
Camden	0.0547366
Kindu	0.0546327
Vladivostok	0.0546007
))
(breach (desc 32369.8) (sims
violation	0.209832
infringement	0.153368
contravention	0.130604
abuse	0.122478
misconduct	0.122266
lapse	0.120453
misuse	0.118052
irregularity	0.114038
espionage	0.111584
wrongdoing	0.109876
theft	0.109608
infraction	0.1091
fraud	0.108543
negligence	0.108235
leak	0.103833
dereliction	0.102494
transgression	0.0993356
provocation	0.0982449
failure	0.0971943
"breach of contract"	0.096867
interference	0.0957738
atrocity	0.095673
"war crime"	0.0948565
malpractice	0.0945266
impropriety	0.0921013
violator	0.0912434
embezzlement	0.091081
corruption	0.0902254
harassment	0.0901491
crime	0.0894454
bribery	0.0893425
spying	0.0888448
mismanagement	0.0878689
breakdown	0.087621
"tax evasion"	0.0875039
erosion	0.0863255
disregard	0.0857571
"sexual harassment"	0.0857329
incident	0.0853133
betrayal	0.0845619
act	0.0843411
misdeed	0.08427
conspiracy	0.0838596
defamation	0.0837648
discrimination	0.08346
offence	0.0828161
deterioration	0.0824371
aggression	0.0812091
perjury	0.0807501
mistake	0.0805159
"invasion of privacy"	0.0802716
misunderstanding	0.0801137
contamination	0.0800553
leakage	0.079681
lack	0.079581
assault	0.0790995
manipulation	0.0788381
rupture	0.078043
affront	0.077211
shortcoming	0.077138
"insider trading"	0.0769578
genocide	0.0769152
rift	0.0767583
intrusion	0.0761213
escalation	0.0759596
massacre	0.0752366
cover-up	0.0751254
kidnapping	0.074986
outbreak	0.074935
tampering	0.0747367
behavior	0.074599
disruption	0.0744497
catastrophe	0.0742292
enforcement	0.0737287
flaw	0.0732839
felony	0.0731104
distortion	0.0728068
threat	0.0726959
"money laundering"	0.0722803
misrepresentation	0.0721945
injustice	0.0719388
dumping	0.0718793
collapse	0.0718545
torture	0.0715323
sabotage	0.071426
"breach of trust"	0.0712733
killing	0.0710027
spill	0.0709709
contradiction	0.0708116
abduction	0.070678
blunder	0.0706652
weakness	0.0703436
disaster	0.0699049
invasion	0.0697119
neglect	0.0696282
matter	0.0695114
defect	0.0694473
malfunction	0.069369
glitch	0.0693435
consequence	0.0692334
scandal	0.0691263
involvement	0.0691205
complicity	0.0689327
abrogation	0.0688234
mishandling	0.0686413
error	0.0681783
murder	0.0681683
hijacking	0.0679886
reversal	0.0677555
hazard	0.0676745
disturbance	0.0676652
collusion	0.0675949
treason	0.0675449
terrorism	0.0673757
mishap	0.0673376
revision	0.0673348
incompetence	0.0670295
miscalculation	0.0669787
bias	0.0668441
forgery	0.0668102
robbery	0.0667774
accusation	0.066611
piracy	0.0661846
homicide	0.06613
rejection	0.0660414
libel	0.0659961
accident	0.0658372
rape	0.0657393
"drug use"	0.0657331
harm	0.0654484
allegation	0.0654483
violence	0.0654195
misappropriation	0.0653745
"election fraud"	0.065338
defiance	0.0652651
action	0.0649741
encroachment	0.0649613
tragedy	0.0645779
misbehavior	0.064469
laxity	0.0642443
danger	0.064184
setback	0.0641181
misstep	0.0639955
noncompliance	0.0639845
disclosure	0.0636731
anomaly	0.0635432
extortion	0.0634256
deficiency	0.0632209
shortage	0.0630481
confrontation	0.0629898
obstruction	0.0629696
blackmail	0.062943
discrepancy	0.0626763
offense	0.0625152
malfeasance	0.0623599
conflict	0.0621583
brutality	0.0619158
persecution	0.0618929
denial	0.0618862
termination	0.0613542
crack	0.0613042
racism	0.0607613
misdemeanor	0.0607587
flood	0.0607341
epidemic	0.060663
coercion	0.0606144
"securities fraud"	0.0602038
activity	0.060203
trampling	0.0601742
occurrence	0.060053
instability	0.0599364
looting	0.059829
evasion	0.0598262
Execution	0.0597292
gap	0.059552
sin	0.0595229
"double standard"	0.0595192
infidelity	0.0595143
destruction	0.0594467
relaxation	0.0594455
"safety problem"	0.0593575
coverup	0.0593144
continuation	0.0592988
assassination	0.0592743
disappearance	0.059119
plagiarism	0.0590409
embarrassment	0.0590404
provision	0.0587803
vote-buying	0.0587798
vandalism	0.0587091
indiscretion	0.0586635
"mail fraud"	0.0586231
slander	0.0585599
smuggling	0.0584924
failing	0.0584017
imbalance	0.0581753
imposition	0.0580847
pollution	0.0580654
eruption	0.0580652
racketeering	0.0580092
))
("breach of contract" (desc 4111.85) (sims
defamation	0.313977
libel	0.261811
"invasion of privacy"	0.250326
slander	0.20217
negligence	0.196712
infringement	0.181595
malpractice	0.179676
"securities fraud"	0.16294
"sexual harassment"	0.155635
"false imprisonment"	0.154232
racketeering	0.151125
"emotional distress"	0.142477
"breach of trust"	0.13012
misconduct	0.125042
fraud	0.123156
"mail fraud"	0.12007
price-fixing	0.112757
multimillion-dollar	0.111017
"insider trading"	0.110238
discrimination	0.109181
embezzlement	0.109052
misappropriation	0.106679
malfeasance	0.105867
mismanagement	0.105447
infliction	0.104509
"tax evasion"	0.103725
misrepresentation	0.100866
harassment	0.0954475
molestation	0.0950558
bribery	0.0943633
"mental anguish"	0.0929847
"election fraud"	0.0918677
plagiarism	0.091706
"Paula Corbin Jones"	0.0914992
whistleblower	0.0889142
SETTLES	0.0887726
conspiracy	0.087753
disbarment	0.0873076
bribe-taking	0.084536
incompetence	0.0832078
tampering	0.0823162
RICO	0.0819425
takings	0.0799608
nepotism	0.0795662
irregularity	0.0789577
misuse	0.0771344
dishonesty	0.0767201
forgery	0.0763127
vote-buying	0.0758267
extortion	0.0747432
disparagement	0.0744637
influence-peddling	0.0738916
"grand larceny"	0.0737202
"child abuse"	0.0733943
rigging	0.0726723
paternity	0.0725019
larceny	0.0719292
coercion	0.0702629
deceit	0.0702171
carelessness	0.0697737
blasphemy	0.0693594
"sexual assault"	0.0688641
espionage	0.068702
termination	0.0686174
nonpayment	0.0678883
wrongdoing	0.0675466
multimillion	0.0664072
brutality	0.0663619
treason	0.0654851
Davidian	0.0653603
perjury	0.0651218
"assault and battery"	0.0649717
mistreatment	0.0637491
manslaughter	0.063146
collusion	0.0630902
shoplifting	0.0627179
criminality	0.0615195
mishandling	0.0607009
intimidation	0.0606408
"war crime"	0.0605342
piracy	0.0604427
"armed robbery"	0.0603295
insubordination	0.060221
"trade secret"	0.0600452
retaliation	0.0599422
obstruction	0.0595803
subversion	0.0591287
cronyism	0.0590522
genocide	0.058226
kickback	0.0578532
incitement	0.0574412
Sleepwalking	0.0573285
misdeed	0.0570082
Concealment	0.0568374
impropriety	0.056696
"money laundering"	0.0565692
fixing	0.0561632
dereliction	0.0560378
maltreatment	0.0558513
noncompliance	0.0555455
"contempt of court"	0.0555311
deception	0.055041
tort	0.0550308
sodomy	0.0546025
misbehavior	0.0542441
persecution	0.05385
disloyalty	0.0535163
cover-up	0.0534022
felony	0.0533193
"John Doe"	0.0529095
"hush money"	0.0524218
EEOC	0.0523673
"false statement"	0.0514762
malice	0.0514135
Woburn	0.0513921
"high treason"	0.0511263
dumping	0.0511158
offence	0.0510141
coverup	0.0507128
infraction	0.0505346
enrichment	0.0502944
inefficiency	0.0498168
falsification	0.0495476
"child support"	0.0494493
blackmail	0.0490076
favoritism	0.0484297
"Brooks Brothers"	0.048381
"breast implant"	0.0483742
reparation	0.0481782
Vilification	0.0469888
forfeiture	0.0465691
obscenity	0.0462604
"Georgia Power"	0.0461125
sickout	0.045996
arson	0.0458598
"Paula Jones"	0.0455064
disorganization	0.0454276
complicity	0.045409
Warnaco	0.045383
infanticide	0.0453674
"civil right"	0.0451845
desegregation	0.0445564
untruth	0.0442285
"Branch Davidian"	0.0441358
duplicity	0.043949
misdemeanor	0.0436238
"medical bill"	0.0434497
Intergraph	0.043339
Curley	0.042719
"foul play"	0.0427085
hypocrisy	0.0426127
Norplant	0.04258
"Abner Louima"	0.042404
"Title IX"	0.0423341
gunrunning	0.0422781
"performance evaluation"	0.0422038
withholding	0.0421348
vandalism	0.0419162
RIAA	0.0418898
schoolwork	0.0417304
unfairness	0.0415045
Oneida	0.0412023
oppression	0.0411728
counterclaim	0.0408902
trickery	0.0408067
insolvency	0.0407698
Ada	0.0406794
formalism	0.0405339
despotism	0.0402978
leakage	0.0402958
Nuisance	0.0400925
sedition	0.040043
))
("breach of trust" (desc 1976.76) (sims
"mail fraud"	0.257095
misappropriation	0.193542
"grand larceny"	0.19317
"high treason"	0.190899
embezzlement	0.189544
"securities fraud"	0.1792
bribe-taking	0.172809
"insider trading"	0.172481
tampering	0.167946
racketeering	0.164303
"tax evasion"	0.152863
dereliction	0.151927
extortion	0.138239
bribery	0.137376
perjury	0.136665
negligence	0.13581
forgery	0.13255
"breach of contract"	0.13012
"money laundering"	0.12886
arson	0.125112
trespass	0.122223
vote-buying	0.120875
"assault and battery"	0.117842
influence-peddling	0.113793
larceny	0.113696
malfeasance	0.112787
manslaughter	0.112591
endangerment	0.112191
enrichment	0.110817
obstruction	0.108024
misconduct	0.107996
sodomy	0.107418
coverup	0.106814
"contempt of court"	0.105895
misrepresentation	0.104388
impropriety	0.104179
nepotism	0.104128
wrongdoing	0.10352
"child abuse"	0.102838
treason	0.101247
"election fraud"	0.100496
defamation	0.099014
kickback	0.0984374
"foul play"	0.0969447
espionage	0.0946363
obfuscation	0.0946222
"false statement"	0.0942296
felony	0.0933938
irregularity	0.0929525
subversion	0.0918453
"armed robbery"	0.091584
"sexual assault"	0.0912223
mismanagement	0.0906678
libel	0.0900498
cover-up	0.0896627
malpractice	0.0882711
molestation	0.0877199
intimidation	0.0868323
coercion	0.085766
deceit	0.0843502
"lying under oath"	0.0843337
graft	0.0834836
rigging	0.0817023
"disorderly conduct"	0.0811437
favoritism	0.0795355
"war crime"	0.0761296
blackmail	0.0750434
incompetence	0.0738386
mischief	0.0738134
infraction	0.0730452
prevarication	0.0726647
cronyism	0.0725654
complicity	0.0721727
"quid pro quo"	0.0694001
misdeed	0.0681031
deception	0.0677657
spying	0.0677107
offence	0.067664
sedition	0.0674882
falsification	0.067402
burglary	0.067378
malice	0.0662977
disloyalty	0.0658971
incest	0.0648253
adultery	0.0640271
plagiarism	0.0638168
"stolen property"	0.0636977
half-truth	0.0635548
dishonesty	0.0627961
noncompliance	0.0624191
cruelty	0.0621155
infringement	0.0618824
mutiny	0.0618513
formalism	0.0618288
Concealment	0.0617367
unfairness	0.0614415
"false imprisonment"	0.061116
disorganization	0.0609116
chicanery	0.0604964
"sex act"	0.0597751
collusion	0.0596032
"invasion of privacy"	0.058711
misdemeanor	0.0583792
betrayal	0.057069
"fraud charge"	0.0570616
criminality	0.056911
"sexual harassment"	0.0567302
"tax avoidance"	0.0564654
slander	0.0563434
misjudgment	0.0556978
heresy	0.0554717
solicitation	0.0552728
usurpation	0.0549689
mishandling	0.0543201
"resisting arrest"	0.0541491
falsehood	0.0539687
Disobedience	0.0530814
evasion	0.0526431
incitement	0.0516203
inequity	0.051566
fixing	0.0512929
victimization	0.0508144
price-fixing	0.0506022
illegality	0.0503037
hooliganism	0.0502696
charlatan	0.0500447
intoxication	0.049849
indecency	0.0497667
stalking	0.0496075
shakedown	0.0494204
blasphemy	0.0476201
"robbery suspect"	0.047362
"proxy fight"	0.0460334
"Koch Industries"	0.045798
thievery	0.0450837
insurrection	0.0449995
vandalism	0.0449479
opportunism	0.0444183
Profiler	0.0439518
recklessness	0.0438817
"Russell Peeler"	0.0438714
termination	0.0437241
counterclaim	0.0437012
leakage	0.0435437
counter-offensive	0.0432765
"work camp"	0.0426667
"mass murder"	0.0421199
infanticide	0.0421179
write-down	0.0418322
deprivation	0.0413816
eventuality	0.0412271
barbarity	0.0412148
slashing	0.0408658
"character assassination"	0.0406915
misreading	0.0406807
"change of direction"	0.040181
gunrunning	0.0400283
))
(breaching (desc 1300.44) (sims
crumbling	0.107384
pretending	0.0888261
mendacity	0.0813339
dismantling	0.0741517
fulfilment	0.0690533
toppling	0.0646989
breaking	0.06425
floodgate	0.0641987
treachery	0.0562016
lowering	0.054877
storming	0.0524163
blocking	0.0521222
promulgation	0.0507125
"Army Corps"	0.050661
splitting	0.0500662
bashing	0.0496709
closedown	0.049658
nationalization	0.0484666
disbarment	0.0481551
re-opening	0.0475722
"Special Session"	0.04735
melting	0.0471154
lapping	0.0470009
reestablishment	0.046236
harnessing	0.0458372
"Member States"	0.0457999
"last two digits"	0.0452558
phaseout	0.045246
lessening	0.044643
roughness	0.0445215
"Third Plenum"	0.0444119
lattice	0.0443618
"Sanctions Committee"	0.0438325
abolishment	0.0437224
unraveling	0.0435425
uncovering	0.0433021
disbanding	0.0432738
steelhead	0.0430913
"crazy quilt"	0.0423981
sentencing	0.0422234
reiteration	0.042031
shattering	0.0419371
abdication	0.0418148
Hermanson	0.0417618
dredging	0.0417264
damming	0.0416344
Balkanization	0.0412141
loosening	0.0411551
scaling	0.0405055
diminution	0.0403845
finalization	0.0401119
))
(bread (desc 57138.5) (sims
cheese	0.222538
cake	0.216472
potato	0.214038
meat	0.203179
tortilla	0.195705
biscuit	0.195026
vegetable	0.194891
pasta	0.192109
sandwich	0.185535
bean	0.185377
tomato	0.184421
cereal	0.184327
cooky	0.183363
salad	0.183256
chicken	0.182101
fruit	0.180996
soup	0.180502
milk	0.180313
pastry	0.180114
sausage	0.178796
muffin	0.173763
noodle	0.172247
onion	0.171485
flour	0.171141
rice	0.168747
pizza	0.164151
sauce	0.163239
egg	0.161232
cracker	0.16065
Pudding	0.159405
butter	0.159195
"white bread"	0.15822
pie	0.158098
slice	0.157286
chocolate	0.15641
steak	0.154042
ham	0.153149
"ice cream"	0.153148
pork	0.151843
yogurt	0.151578
dough	0.15143
bagel	0.151053
cornbread	0.150622
loaf	0.149698
beef	0.148248
corn	0.147812
dessert	0.14604
carrot	0.144538
pancake	0.143672
dish	0.143383
cookie	0.143322
coffee	0.143103
mushroom	0.142591
bacon	0.142477
food	0.142285
sugar	0.141614
juice	0.139535
"French bread"	0.138672
eggplant	0.136562
baguette	0.135
croissant	0.134612
shrimp	0.134501
tea	0.134052
pickle	0.133515
"cooking oil"	0.133209
crumb	0.13197
candy	0.131767
spinach	0.131637
tofu	0.131159
Garlic	0.130806
fish	0.130369
scone	0.129811
"sweet potato"	0.129304
lentil	0.127551
lettuce	0.127533
"peanut butter"	0.127264
cabbage	0.126558
brioche	0.125646
asparagus	0.125558
"orange juice"	0.125334
"goat cheese"	0.125292
nut	0.123997
pepper	0.123835
doughnut	0.122883
cucumber	0.122581
TART	0.122249
apple	0.122243
grain	0.121311
banana	0.120804
spice	0.120673
"dairy product"	0.120487
stew	0.120218
polenta	0.120022
"hot dog"	0.119564
snack	0.118789
toast	0.117759
popcorn	0.117668
"cream cheese"	0.117313
seafood	0.11697
pea	0.116956
margarine	0.116715
Chili	0.116541
wine	0.116474
bun	0.115607
mayonnaise	0.115259
crust	0.115127
pineapple	0.114395
broth	0.114127
pumpkin	0.113075
Casserole	0.112769
avocado	0.112301
Hamburger	0.111438
"chicken breast"	0.110947
tuna	0.110568
plantain	0.110426
"wheat flour"	0.110156
cheesecake	0.109744
drink	0.109724
"baked goods"	0.109276
barley	0.108948
"soft drink"	0.1089
mozzarella	0.108791
dumpling	0.108469
"fruit juice"	0.108112
meal	0.108063
"potato salad"	0.108044
"french fries"	0.107967
"tomato sauce"	0.107563
mustard	0.107538
porridge	0.107502
herb	0.107498
salami	0.107315
"vegetable oil"	0.107186
"cottage cheese"	0.107125
salt	0.106807
peach	0.106489
honey	0.106466
buttermilk	0.106399
oatmeal	0.105894
prosciutto	0.105716
"powdered milk"	0.105208
soda	0.105063
mixture	0.104988
peanut	0.104704
salmon	0.104486
Broccoli	0.104302
lemon	0.104224
melon	0.104203
jelly	0.103578
wheat	0.103496
sweet	0.103494
spaghetti	0.103492
celery	0.103051
"chocolate cake"	0.102968
"sour cream"	0.102906
Beer	0.102844
brownie	0.102645
puree	0.102504
coconut	0.102473
vinegar	0.102417
dressing	0.102353
"cold cuts"	0.10233
"red pepper"	0.102266
cream	0.102216
"olive oil"	0.101981
leek	0.101357
"canned food"	0.101157
beverage	0.10081
chop	0.100241
burgers	0.100147
"loaf of bread"	0.099925
chutney	0.099815
"green bean"	0.0997663
almond	0.099765
beet	0.0997507
zucchini	0.0996942
lamb	0.09967
custard	0.0996207
scallion	0.0995289
poultry	0.0994749
"roast beef"	0.0993639
olive	0.0989314
appetizer	0.0986198
gravy	0.0979548
omelet	0.0979011
pretzel	0.0972178
meatloaf	0.0964769
Topping	0.0963625
veggie	0.0963479
COBBLER	0.0962249
pear	0.0961275
salsa	0.0959117
pecan	0.0958846
"scrambled egg"	0.0957213
mango	0.095705
macaroni	0.0956263
crepe	0.0955358
parsley	0.0954023
seasoning	0.0953651
squash	0.0952199
))
("bread and butter" (desc 2970.28) (sims
brioche	0.0518729
lifeblood	0.0507502
"crown jewels"	0.0502244
"roughly two-thirds"	0.049382
"almost one-third"	0.0458174
nitty-gritty	0.0453094
"eighth year"	0.0449283
possiblity	0.0439086
backbone	0.0438572
"trump card"	0.0431508
mainstay	0.0428827
"death knell"	0.0425166
birthright	0.0410408
three-fifths	0.0404572
"sum total"	0.0402955
))
(breadbasket (desc 1457.45) (sims
third-largest	0.0876773
"toy retailer"	0.0821925
"security interest"	0.0679581
granary	0.0656853
toymaker	0.0652101
"Orthodox Christians"	0.0626958
"chief of state"	0.0616659
"hunting ground"	0.0613897
"Protestant denomination"	0.0606698
"patent office"	0.0598501
"Central Province"	0.0594896
colonizer	0.0571906
issuer	0.0551331
"national bank"	0.0547301
"life insurer"	0.053431
"broadcasting company"	0.0533275
steelmaker	0.0533159
"defense contractor"	0.053306
"trunk road"	0.0531397
"social contract"	0.0527424
"credit bureau"	0.0523799
Americanization	0.0518472
oligarchy	0.0518409
exponent	0.0517773
ABS-CBN	0.0517669
"arms industry"	0.0509455
quadrant	0.050435
"highway system"	0.0502512
shipbuilder	0.0501799
"newspaper publisher"	0.049988
"National Post"	0.0498581
"film industry"	0.0496299
"test-tube baby"	0.0493803
midsection	0.0492301
crock	0.049027
"breakfast table"	0.0489551
"Supreme Soviet"	0.0486125
Patrimony	0.0484931
"regular army"	0.0484434
"music school"	0.0484245
"futures exchange"	0.0483476
"retail chain"	0.0478179
"toy maker"	0.0477994
"land area"	0.0477662
"crown jewels"	0.0474473
"railway system"	0.0472446
"drug czar"	0.0463693
polity	0.046335
refiner	0.0462803
"Strategic Petroleum Reserve"	0.0457723
goal-scorer	0.0457338
"trucking industry"	0.0456939
"food company"	0.0455309
"special economic zone"	0.0453922
"Nortel Networks Corp."	0.045374
backwoods	0.0453324
"lingua franca"	0.0453124
"melting pot"	0.0448378
"entitlement program"	0.0448118
"Achilles' heel"	0.0447644
"gross national product"	0.0446058
"copper mine"	0.0445899
"poverty rate"	0.0445368
"symphony orchestra"	0.0445324
"Vietnam News"	0.0445028
"financial center"	0.0444313
"elder statesman"	0.0441614
"department store chain"	0.0441438
"first tour"	0.0441035
"treasure chest"	0.0440975
"Eastern District"	0.0437883
"shipbuilding industry"	0.0437802
cityscapes	0.0437741
"component part"	0.0428145
"insurance market"	0.042641
bugaboo	0.0426296
"space program"	0.0423262
"brokerage house"	0.0420783
"port of entry"	0.0419288
outback	0.0418358
"elephant population"	0.0414522
"money supply"	0.0413069
"steel company"	0.0412615
indebtedness	0.0412252
"abortion law"	0.0412168
"first school"	0.0410918
TINDERBOX	0.0408756
lifeblood	0.0407189
backwardness	0.0406545
"cable operator"	0.0406425
"Kigoma Region"	0.0405366
polluter	0.0404432
self-image	0.0402917
"white elephant"	0.0401849
"steel production"	0.0400752
lode	0.0400649
))
(breadcrumb (desc 2001.78) (sims
crumb	0.218405
cornmeal	0.201078
ricotta	0.189463
"pine nut"	0.168756
marjoram	0.160862
croutons	0.160485
parsley	0.160286
"whipping cream"	0.158603
tarragon	0.148869
"chicken broth"	0.147583
"coconut milk"	0.145356
mayonnaise	0.141413
buttermilk	0.141325
oatmeal	0.140885
half-and-half	0.140286
oregano	0.138471
mustard	0.138429
"heavy cream"	0.138197
"brown sugar"	0.137186
"lemon juice"	0.136414
thyme	0.135703
"lime juice"	0.135411
"pineapple juice"	0.135342
panko	0.133447
lentil	0.13297
morel	0.132189
Basil	0.131866
Masa	0.130951
"sour cream"	0.130445
"cottage cheese"	0.130166
"evaporated milk"	0.128605
"egg yolk"	0.126852
Parmesan	0.126656
cornstarch	0.125985
chive	0.12552
"soy sauce"	0.125496
"white wine"	0.124677
"olive oil"	0.123371
vinegar	0.123314
shallot	0.121397
chilies	0.121058
"shiitake mushroom"	0.120232
cilantro	0.120126
almond	0.119474
currant	0.119098
"tomato sauce"	0.11841
"wine vinegar"	0.116878
"black bean"	0.11672
"pumpkin seed"	0.116501
"chili powder"	0.115484
"cider vinegar"	0.115194
"Worcestershire sauce"	0.114266
"bay leaf"	0.113988
onion	0.113291
rosemary	0.113176
"cumin seed"	0.112903
"red pepper"	0.112877
dill	0.112708
pecan	0.11221
"lemon zest"	0.111727
anchovy	0.111424
chevre	0.110732
"beef broth"	0.110547
"sesame seed"	0.110001
"green onion"	0.109463
shortening	0.108562
cranberry	0.108239
coconut	0.107906
cayenne	0.107902
Chickpea	0.106823
molasses	0.106325
flour	0.106089
Garlic	0.105694
chervil	0.105471
"dried fruit"	0.105018
"chicken stock"	0.104865
walnut	0.104684
paprika	0.104635
yogurt	0.10455
yeast	0.103323
"cream cheese"	0.103253
"cherry tomato"	0.102934
"hoisin sauce"	0.10274
butter	0.102186
"chili pepper"	0.101891
"peanut butter"	0.101631
"egg white"	0.101176
vermouth	0.100876
arugula	0.100875
scallion	0.100518
seasoning	0.100305
celery	0.100256
persimmon	0.100045
coriander	0.0999994
mint	0.0999879
granola	0.0995551
"hot sauce"	0.0985494
"whipped cream"	0.0984083
"vegetable oil"	0.0983225
margarine	0.0982286
praline	0.0981439
"tomato juice"	0.0976904
florets	0.0967035
lettuce	0.0966044
Sage	0.0961724
"black olive"	0.0956379
ginger	0.095147
raisin	0.0950773
spinach	0.0950575
polenta	0.0941656
"orange juice"	0.0939313
macaroni	0.0938053
gelatin	0.0934617
pistachio	0.0929802
horseradish	0.0928731
"raw vegetable"	0.0928244
"maple syrup"	0.0926607
broth	0.0924193
nutmeg	0.0917755
cider	0.0917278
tahini	0.0915429
sherry	0.0913466
"orange zest"	0.0913368
leek	0.0913009
apricot	0.0905431
fennel	0.0904177
curd	0.0903488
ketchup	0.0900432
"white bean"	0.0894484
"fava bean"	0.0894071
"tomato paste"	0.0888702
"peanut oil"	0.0888008
noodle	0.0882572
cauliflower	0.0882508
"goat cheese"	0.0879219
sauerkraut	0.087641
blueberry	0.0869672
pasta	0.0862358
"wild rice"	0.0860292
meringue	0.0852353
chiles	0.0852
"macadamia nut"	0.0851953
hazelnut	0.0851304
chutney	0.0848926
"cheddar cheese"	0.0846857
peppercorn	0.0843927
"citrus fruit"	0.0840242
"curry powder"	0.0828881
crunchy	0.0828593
"orange peel"	0.0827431
vinaigrette	0.0823331
"black pepper"	0.0813317
"sesame oil"	0.0811792
Calvados	0.0807005
cucumber	0.080607
"red onion"	0.0805231
Chili	0.0805102
"barbecue sauce"	0.0803106
"water chestnut"	0.0801521
"beef stock"	0.0800422
mascarpone	0.0798411
jelly	0.0798085
"skim milk"	0.0797876
flake	0.0796586
olive	0.0795327
yolk	0.0794154
porcini	0.0788404
fig	0.0786461
chanterelle	0.0784639
"grated cheese"	0.0782719
linguine	0.0780256
honey	0.07763
"cayenne pepper"	0.0762542
"red wine"	0.0757494
Cherry	0.0754236
jalapeno	0.0749243
"lima bean"	0.0748801
Broccoli	0.0743528
Cheddar	0.0738158
millet	0.0735607
allspice	0.0734747
"green salad"	0.0727643
"about @ tablespoons"	0.0725717
lemon	0.0725495
"Chenin blanc"	0.0721821
miso	0.0721053
"bell pepper"	0.0719242
squid	0.0714938
mozzarella	0.0713387
"pepper sauce"	0.0711638
asparagus	0.0710989
"orange marmalade"	0.0709035
melon	0.0706978
FETA	0.0706056
"fennel seed"	0.0705281
"chili sauce"	0.0704306
carrot	0.0704142
veal	0.0702937
cumin	0.0701698
"garlic clove"	0.0700473
))
(breadth (desc 16346.7) (sims
scope	0.152978
depth	0.129826
complexity	0.119739
richness	0.113866
diversity	0.112393
quickness	0.105881
versatility	0.105659
extent	0.10502
intensity	0.104495
sophistication	0.10396
magnitude	0.102809
dynamism	0.102551
quality	0.0988145
strength	0.096897
severity	0.0948948
seriousness	0.0948554
immediacy	0.093801
originality	0.0936582
clarity	0.093647
vitality	0.093142
heft	0.0901305
athleticism	0.0873405
size	0.0870955
resilience	0.0870345
stamina	0.0862805
nature	0.0859429
range	0.085311
width	0.0849954
resiliency	0.0843358
subtlety	0.0839191
duration	0.0834509
vibrancy	0.083394
enormity	0.0826489
mastery	0.0826208
flexibility	0.0825849
accuracy	0.0823573
"staying power"	0.0823457
timing	0.0812605
fragmentation	0.0810844
persistence	0.0810352
freshness	0.0809561
buoyancy	0.0802485
availability	0.0798942
reliability	0.0795833
maturity	0.0794639
mobility	0.0784142
ability	0.0774749
durability	0.0768972
effectiveness	0.0766416
potential	0.075843
variety	0.0748689
commonality	0.0742372
scale	0.0741642
efficiency	0.0739119
popularity	0.0738431
importance	0.0737463
skill	0.0737317
rapidity	0.073005
fragility	0.0729192
Openness	0.0725592
knowledge	0.0712304
aggressiveness	0.0709219
nimbleness	0.0708873
array	0.0703847
density	0.0703177
intellect	0.0702864
solidity	0.0700512
eloquence	0.0700115
sharpness	0.0698247
Creativity	0.0696615
coherence	0.0694537
talent	0.0692635
tenacity	0.0692313
generosity	0.0691519
boldness	0.0690325
urgency	0.068807
courage	0.0685908
craftsmanship	0.0685309
precision	0.0682945
length	0.0678821
competence	0.0677388
warmth	0.0676687
purity	0.0676652
consistency	0.0675843
capability	0.0673787
virtuosity	0.0671391
clout	0.0670169
willingness	0.0668173
enthusiasm	0.0666417
validity	0.0663873
elegance	0.0663743
outpouring	0.0663128
specificity	0.0661411
sensitivity	0.0659323
profitability	0.0657944
timeliness	0.0657943
dexterity	0.0656938
determination	0.0656341
impact	0.0654013
usefulness	0.0652893
toughness	0.0652337
diversification	0.0652269
vigor	0.0650727
wealth	0.0650619
volatility	0.0649318
integrity	0.0647923
vision	0.0643973
unanimity	0.0641196
"economies of scale"	0.0640809
significance	0.0637618
beauty	0.0636838
thoroughness	0.0636626
girth	0.0634513
spectrum	0.0632431
awareness	0.0630891
liquidity	0.0630732
charm	0.0629254
affordability	0.0628227
implication	0.0626699
sincerity	0.0624351
refinement	0.062318
universality	0.062143
agility	0.0620125
"drawing power"	0.0619992
fullness	0.0619765
simplicity	0.0619506
viability	0.0618914
inventiveness	0.0618642
dearth	0.0617514
explosiveness	0.0616635
understanding	0.0616442
comprehensiveness	0.0614025
maneuverability	0.061336
broadening	0.0612922
dimension	0.0612572
assertiveness	0.0611977
acumen	0.0611251
degree	0.0610926
fluidity	0.0609519
multiplicity	0.0609178
wit	0.0608971
competitiveness	0.0607916
accessibility	0.0605843
frequency	0.0604963
firepower	0.0602448
"how much"	0.0601829
potentiality	0.0600946
velocity	0.0599868
"high level"	0.0599513
characteristic	0.0598676
expertise	0.0598026
eclecticism	0.059683
objectivity	0.059659
wisdom	0.0595915
accomplishment	0.059466
uniqueness	0.0594316
ferocity	0.0591535
narrowness	0.059095
pace	0.0590024
spontaneity	0.0588114
authenticity	0.0587615
similarity	0.0587403
divergence	0.058558
ferment	0.0585567
self-confidence	0.058545
portability	0.0584593
ingenuity	0.0579752
intelligence	0.0579656
emergence	0.0579404
height	0.0579007
honesty	0.0577806
plethora	0.0577596
decisiveness	0.0577569
achievement	0.0577285
cohesion	0.0576484
professionalism	0.0575783
proficiency	0.0573902
gravity	0.0573052
newness	0.0571373
abundance	0.0571279
longevity	0.05707
compatibility	0.0570356
likelihood	0.0569332
meaning	0.0569165
credibility	0.0567753
visibility	0.0567583
"economic condition"	0.0566582
relevance	0.0566374
concentration	0.0566174
weight	0.056567
grandeur	0.0565432
superiority	0.0565065
cohesiveness	0.0564374
passion	0.0563248
compassion	0.0562191
willpower	0.0560613
trajectory	0.0559483
dedication	0.0559125
fortitude	0.0559115
fundamental	0.0558915
))
(breadwinner (desc 2542.56) (sims
wage-earner	0.137667
"wage earner"	0.121173
"legal guardian"	0.110527
"decision maker"	0.105145
babysitter	0.104577
"black person"	0.100649
determinant	0.0987015
"pain in the neck"	0.0930555
caregiver	0.0869977
"black sheep"	0.0868405
matriarch	0.0836826
housekeeper	0.0825626
"white person"	0.0807907
"vacation spot"	0.080591
"pen pal"	0.0753206
"gathering place"	0.0751179
"role model"	0.0749976
heterosexual	0.073172
psychodrama	0.0729949
HIV-positive	0.0723955
"second person"	0.07049
heretic	0.0686958
"determining factor"	0.0682476
"whipping boy"	0.0680626
"good person"	0.0677788
whore	0.0673498
"major-league team"	0.0668416
"important person"	0.0667535
benefactor	0.0666922
"center of attention"	0.0666489
quadriplegic	0.0664508
"school teacher"	0.0659159
"giving birth"	0.0656839
vegetarian	0.0656771
cog	0.0656488
homemaker	0.0654521
gatekeeper	0.0653071
college-educated	0.0646024
instigator	0.0645586
"drawing card"	0.0645013
defaulter	0.0644314
perpetrator	0.0641027
"nest egg"	0.0640363
paraplegic	0.0637786
maid	0.0632127
here.	0.0631579
stepsister	0.0630656
motivator	0.0628241
criterion	0.0625224
distributorship	0.0624896
bugaboo	0.0616137
diabetic	0.0616058
privy	0.0611333
transsexual	0.0611164
guidepost	0.0609447
"measuring stick"	0.0603843
lactose	0.0603801
earner	0.0599735
livelihood	0.05982
marathoner	0.0593526
drinker	0.0588473
"house guest"	0.0580179
"big leaguer"	0.0575777
"young person"	0.0566087
bastard	0.0565685
caretaker	0.0564452
confidante	0.0563815
"drug addict"	0.0563183
churchgoer	0.0562176
"drama critic"	0.0559737
"sounding board"	0.0559554
pro-choice	0.0558772
"registered nurse"	0.0556824
"mentally retarded"	0.0556392
"hunting ground"	0.0556142
interlocutor	0.0556055
Caucasian	0.0555341
"test pilot"	0.0555077
"seating area"	0.0555023
"first person"	0.0554212
"agenda item"	0.055234
"stumbling block"	0.055067
bookkeeper	0.054962
thorn	0.0549617
valedictorian	0.0547142
Asian-American	0.0547117
"popularity contest"	0.0545762
worrier	0.0544534
"little brother"	0.0540433
"drug user"	0.0539654
"seeded player"	0.0539574
"legal tender"	0.0537789
firefighter	0.0536243
stewardess	0.0536072
"driving force"	0.0533863
illiterate	0.053203
"milk cow"	0.0531394
"split up"	0.0530515
conscript	0.0529406
"loved one"	0.0529336
colorblind	0.0529232
overachiever	0.0528833
adulterer	0.0528508
"point of reference"	0.0527731
"tax collector"	0.0523872
low-budget	0.052311
schoolteacher	0.052209
"first school"	0.0521886
dysfunction	0.0521836
bimbo	0.052053
"Achilles' heel"	0.0520004
playmate	0.0519274
"press agent"	0.0516305
getaway	0.0516012
"right to vote"	0.0514671
workhorse	0.0514338
"trump card"	0.051367
"line of defense"	0.0512647
youngest	0.0512276
schizophrenic	0.0511934
genealogy	0.0511762
grandparent	0.0511478
pushover	0.0510319
"volleyball player"	0.0509063
stuntman	0.0508909
"English teacher"	0.0508516
bitch	0.0507268
flutist	0.0506405
blot	0.0506357
aunt	0.0505193
Judas	0.0505089
TRUANT	0.0505086
entrepot	0.0503731
psychoanalyst	0.0502458
infantryman	0.0501575
alcoholic	0.0500926
"numbers game"	0.0499977
"African American"	0.0499836
"fall guy"	0.0499504
"right whale"	0.0498785
brother-in-law	0.0498112
happiest	0.0498086
"over .@@@"	0.0497954
pediatrician	0.0497857
"business interest"	0.0497811
handicapper	0.0497438
"coat of arms"	0.0496604
punchline	0.0496475
Kurd	0.0496241
troubleshooter	0.0496173
"Y chromosome"	0.0495374
dentist	0.0494998
"fourth generation"	0.0494362
"guardian angel"	0.0494216
stockholder	0.0494172
scriptwriter	0.0494088
multimillionaires	0.0492401
monarchist	0.0492341
poorest	0.0492015
nomad	0.0490068
beautician	0.0489337
bearer	0.0489285
housewife	0.0488844
ill-prepared	0.0485893
ill.	0.0485726
learner	0.048572
baserunner	0.0485682
"service break"	0.0485651
picky	0.0484703
drug-free	0.0484426
commoner	0.0484374
transient	0.0483425
"break of serve"	0.0482827
"bargaining chip"	0.0482755
niece	0.0482708
"charter member"	0.0482362
"great grandmother"	0.0482038
neurotransmitter	0.0477916
amputee	0.0476807
"poverty rate"	0.0476731
"line of business"	0.0475688
well-respected	0.0474944
scion	0.0473884
serviceman	0.0471904
nonevent	0.0471891
"extended family"	0.0471751
guarantor	0.0470811
"dinner table"	0.0470615
businesswoman	0.0470563
jock	0.047041
"guinea pig"	0.0469858
"risk taker"	0.0469289
typecast	0.0469144
"prima donna"	0.0468814
abuser	0.0468658
welder	0.0467698
sitter	0.0467518
"public servant"	0.0466897
yardstick	0.0466084
"role player"	0.0465453
))
(break (desc 115068) (sims
hiatus	0.106728
recess	0.104626
intermission	0.102547
vacation	0.0945403
halftime	0.0914482
lull	0.0900714
respite	0.0852781
holiday	0.0823524
interval	0.0808121
shift	0.0786528
game	0.077339
suspension	0.0751436
pause	0.0745877
trip	0.0730917
layoff	0.0725645
change	0.0715871
breakthrough	0.0715309
"day off"	0.0706829
interruption	0.0703367
delay	0.0699749
injury	0.0684764
period	0.0684747
bounce	0.0683035
strike	0.0682431
lunch	0.0680846
time	0.0674077
pass	0.0672312
shot	0.065966
chance	0.0656507
absence	0.0655763
point	0.0651147
moment	0.0637577
visit	0.063602
boost	0.0633901
victory	0.0632156
loss	0.0625413
goal	0.0618527
timeout	0.0618023
tour	0.061725
departure	0.0612245
return	0.0609683
step	0.0601823
swing	0.0598954
shutdown	0.0596503
hole	0.0593191
mistake	0.0588102
session	0.0585729
round	0.0585671
reprieve	0.0585467
turnaround	0.058489
cut	0.0583718
Rally	0.0583608
"time off"	0.0583008
putt	0.0582657
rebound	0.0582439
fight	0.057882
penalty	0.0578514
honeymoon	0.0576897
event	0.0575317
meeting	0.0574011
appearance	0.0573955
NAP	0.0572888
match	0.0571143
season	0.0568609
lesson	0.0567126
kick	0.0566716
outing	0.0562759
ride	0.0562277
gap	0.0561346
thing	0.056065
difference	0.0560313
birdie	0.0560077
retirement	0.0556207
reversal	0.0555366
relief	0.055391
advantage	0.0553737
workout	0.0553414
burst	0.0552446
closure	0.0550187
series	0.0548622
course	0.0547361
trial	0.0547358
day	0.0543645
"free throw"	0.0542728
opportunity	0.0540584
walkout	0.0539432
jump	0.0539348
opening	0.0538983
journey	0.053766
error	0.0537051
surgery	0.053693
two	0.0536634
gain	0.0535324
interview	0.0534827
deal	0.0533376
"power play"	0.0531923
"field goal"	0.0530956
ball	0.0530412
"tax break"	0.0530109
record	0.0529938
vote	0.0528313
rush	0.052815
breakaway	0.0527468
battle	0.0527036
stretch	0.0527033
test	0.052481
meal	0.0523881
span	0.0522322
inning	0.0522289
problem	0.0522132
improvement	0.0521551
stint	0.0521323
slump	0.0521021
disruption	0.0520057
defeat	0.0519801
"home run"	0.0518558
touchdown	0.0517353
debate	0.0517301
transition	0.0517289
lapse	0.0515866
crack	0.0515604
line	0.0515178
race	0.0511907
practice	0.0511902
dinner	0.0510236
setback	0.0510027
sentence	0.0509518
comeback	0.0509347
half	0.0508826
decline	0.0507586
playoff	0.0506793
retreat	0.0506473
distraction	0.0506426
spell	0.0505805
result	0.0505118
deadline	0.0504801
tournament	0.0503545
experience	0.0502384
spot	0.0501038
hearing	0.0499664
second	0.049889
stoppage	0.0498809
conversation	0.049747
exemption	0.0497162
advance	0.049579
weekend	0.0495167
reduction	0.0494986
Three	0.0494057
flight	0.0493918
All-Star	0.0493175
answer	0.0491173
rest	0.0489914
week	0.0489287
"turning point"	0.0488636
something	0.0488212
lap	0.048819
treatment	0.0487139
pitch	0.0486623
extension	0.0484774
performance	0.0484601
everything	0.0484152
getaway	0.0483008
recovery	0.0482196
competition	0.0482048
championship	0.0481909
money	0.0481077
celebration	0.0480016
contest	0.047985
slowdown	0.0479393
decision	0.0478829
trouble	0.0477744
adjustment	0.0477297
attack	0.0475712
third	0.0475056
success	0.047472
moratorium	0.0474003
collapse	0.0473907
cruise	0.0473836
recession	0.0473828
speech	0.0473557
breakdown	0.0471847
war	0.0471446
blackout	0.0470498
blow	0.0470122
scare	0.0470022
surprise	0.0469552
hour	0.046897
discussion	0.0468812
indication	0.0468806
progress	0.0468778
action	0.0468645
challenge	0.0467982
hike	0.0467935
player	0.0467662
at-bat	0.0467474
night	0.0467407
concession	0.0466774
exercise	0.0466485
stopover	0.0465804
career	0.0464828
))
("break of serve" (desc 887.272) (sims
"service break"	0.377814
"three match points"	0.23505
"set point"	0.203882
"two match points"	0.197634
tiebreak	0.159423
deuce	0.140872
"American Chanda Rubin"	0.132552
"match point"	0.124793
"day of rest"	0.121386
tie-break	0.112782
rebounders	0.11121
Bjorkman	0.106867
Kiefer	0.105978
knockdown	0.105974
Testud	0.105582
keystroke	0.105459
"major-league team"	0.103937
"Ryder Cups"	0.103462
no-decisions	0.103405
baserunners	0.101783
Dutchmen	0.100363
B-@s	0.098204
"unearned run"	0.0978041
"CHARLOTTE STING"	0.0967258
Jansher	0.0966133
"Final Fours"	0.0961466
"Russian Yevgeny Kafelnikov"	0.0949117
"base runner"	0.0933188
"first pitcher"	0.0930971
"British Opens"	0.0916783
"breathing space"	0.09161
"four sacks"	0.0912419
"Viswanathan Anand"	0.0903937
postseasons	0.0895195
"three sacks"	0.0889183
Majoli	0.0883771
"American Todd Martin"	0.0881414
"word of advice"	0.0880762
"earned run"	0.0879663
Rusedski	0.0879212
great-grandchildren	0.0878567
tiebreaker	0.086261
"first point"	0.0851183
"South African Amanda Coetzer"	0.084987
"foster child"	0.0849808
TDs	0.0848094
"more than @@ yards"	0.0841391
"Pro Bowls"	0.0830461
Rosset	0.0827105
Corretja	0.0826792
"Gold Gloves"	0.0824863
Tauziat	0.0824636
three-pointers	0.0823478
"breathing room"	0.0822627
no-decision	0.0812915
spacewalks	0.0809413
wicket	0.0806663
"base hit"	0.0803707
Kafelnikov	0.0801101
faceoffs	0.0800161
Nicol	0.0798699
wideouts	0.0797846
RedHawks	0.079782
"piece of music"	0.0796215
Berasategui	0.0794688
"Francisco Clavet"	0.0790533
"Hicham Arazi"	0.0788131
"a few million dollars"	0.0784885
"Sanchez Vicario"	0.0784007
"Marc Rosset"	0.0784004
Pioline	0.0773182
takeaways	0.0771641
"Hail Mary"	0.0771347
Henman	0.0771112
"foul shot"	0.0760268
"Anne-Gaelle Sidot"	0.0759862
flexor	0.0759398
"Fernando Meligeni"	0.0757783
curveballs	0.0754856
Safin	0.0750877
starts.	0.0747509
chairlift	0.0746901
"sea lane"	0.0745762
"seeded player"	0.0744725
"Australian Mark Philippoussis"	0.0744215
"All-Star Games"	0.0742875
"American plane"	0.074218
"American Lindsay Davenport"	0.0738053
Kroslak	0.0737689
"Mariano Puerta"	0.0736565
"foul ball"	0.0735294
tractor-trailers	0.0735128
triple-double	0.0734651
"Desert Hero"	0.0730926
buzzer-beater	0.0730568
"Leander Paes"	0.0730113
"coat of paint"	0.0726756
"Slava Dosedel"	0.0723579
"over .@@@"	0.0723397
"eight homers"	0.0722829
"Karol Kucera"	0.0722161
"Jan-Michael Gambill"	0.0722067
"U.S. Opens"	0.0721705
bogy	0.0720937
"upper hand"	0.0720683
"knockout punch"	0.0720266
"Cy Young Awards"	0.0719862
"Naoko Sawamatsu"	0.0717953
"two sacks"	0.0715308
cog	0.0709514
sherpas	0.0707658
crewmembers	0.0706516
ex-convicts	0.0705399
"Richard Fromberg"	0.070479
"Magnus Gustafsson"	0.070386
"achilles tendon"	0.0703387
"Jackson State"	0.0702177
oar	0.0702028
"No. @s"	0.070106
"Jorgen Persson"	0.0699285
"Liu Guoliang"	0.069701
"house guest"	0.069679
filers	0.0696453
"dramatic event"	0.0695098
Waldner	0.069341
rios	0.0692095
Opens	0.0692004
"running play"	0.0690781
technicals	0.0690325
"over @@@ points"	0.0686504
"six homers"	0.0682962
All-Americans	0.0682441
"Cedric Pioline"	0.0682219
closers	0.068191
"Ai Sugiyama"	0.0680371
GAA	0.0678173
"Chicago Fire"	0.0674588
"more than @@@ yards"	0.0674014
double-teams	0.0673628
quarterfinalists	0.0671685
"great year"	0.0670137
"flight of stairs"	0.0670025
double-double	0.0669642
turncoat	0.066813
"sheet of paper"	0.0666677
"rate hike"	0.0664578
half-point	0.0664145
Puerta	0.0663748
Picassos	0.0663591
"off-speed pitch"	0.0661783
"work group"	0.0661759
"sixth homer"	0.0661507
near-misses	0.0659619
"Texas Democrats"	0.0659507
"million yuan"	0.0655255
"credit system"	0.0654904
"a few points"	0.065489
Ivanisevic	0.0654828
"five @-pointers"	0.0653581
"Van Roost"	0.0653313
Kucera	0.065243
boatload	0.0649595
"Special Economic Zones"	0.0648091
top-@@	0.0647777
Maruyama	0.0647339
"one sack"	0.0646721
miscarriage	0.0646444
ejection	0.0642098
"five homers"	0.0641785
widget	0.0641088
"Ruxandra Dragomir"	0.064096
A@@@s	0.0640588
"Wang Liqin"	0.0639165
Stealers	0.0638688
tacklers	0.0638142
"Lisa Raymond"	0.0638136
part-timer	0.0638088
"honorable mention"	0.0636065
"bullet hole"	0.063588
"Qingdao Hainiu"	0.0635459
"parcel of land"	0.0635136
"safety valve"	0.06342
trainload	0.0633977
nonwhites	0.0633475
"Dave Burba"	0.063085
"Running Stag"	0.0630455
"Alberto Berasategui"	0.062708
"extra points"	0.0625939
weightlifter	0.0624992
zinger	0.0624668
switch-hitter	0.0624565
nutrient	0.0624516
"Dominique Van Roost"	0.062351
go-round	0.0623242
"Russian bank"	0.0623168
"pool table"	0.0622707
variable	0.0622078
Seizinger	0.0620959
"Andrei Medvedev"	0.0620635
Lucic	0.0619503
))
(break-in (desc 7920.62) (sims
burglary	0.22629
robbery	0.163802
"armed robbery"	0.160737
hijacking	0.15961
theft	0.156081
arson	0.154717
carjackings	0.150531
holdup	0.149472
kidnapping	0.147917
abduction	0.143624
vandalism	0.131772
"sexual assault"	0.130766
slaying	0.111349
rape	0.10848
mugging	0.108249
extortion	0.105473
homicide	0.103145
killing	0.102405
heist	0.102327
larceny	0.102295
coverup	0.0964336
cover-up	0.0949465
looting	0.094809
bombing	0.0941964
massacre	0.093706
assassination	0.0933488
beating	0.0927366
poisoning	0.0925327
assault	0.0919404
shooting	0.0902153
burnings	0.0882127
"drive-by shooting"	0.0876637
forgery	0.0845584
harassment	0.0816823
scam	0.0813514
mishap	0.0804851
foul-up	0.0803999
sabotage	0.0801128
"engine failure"	0.0800498
disappearance	0.0796704
raid	0.0794287
explosion	0.0790395
"coup attempt"	0.0790072
hostage-taking	0.078912
fraud	0.0784592
molestation	0.0774426
embezzlement	0.0772841
espionage	0.0771066
stabbings	0.0768434
shoplifting	0.076552
conspiracy	0.0762523
misappropriation	0.0757982
"fatal accident"	0.0753385
suicide	0.0752688
"grand larceny"	0.074892
smuggling	0.0747378
"Nanjing Massacre"	0.0745751
"bomb blast"	0.0745499
"money laundering"	0.0743287
trespass	0.0736286
sit-in	0.0733042
"child abuse"	0.0729646
rollovers	0.072715
misuse	0.0722826
atrocity	0.0721527
irregularity	0.0713931
torture	0.071248
temblor	0.0710031
tampering	0.0707504
prostitution	0.0706431
disturbance	0.0701858
mutiny	0.069897
"mass murder"	0.0698934
infiltration	0.0693918
"drug trafficking"	0.0690227
bribery	0.068454
sodomy	0.0684435
shakedown	0.068441
firing	0.0683758
riot	0.0679028
drownings	0.0673996
ambush	0.0669862
outage	0.0656959
malfunction	0.0655107
"drug case"	0.0651307
rioting	0.0649149
derailment	0.0648584
misconduct	0.0646933
genocide	0.0646854
incursion	0.0630024
impropriety	0.0625026
spying	0.0623708
strangulation	0.0623307
"foul play"	0.0622839
piracy	0.0617068
mistreatment	0.0616781
"safety problem"	0.0616383
manipulation	0.0614703
trafficking	0.0612645
"tax evasion"	0.0612011
wrongdoing	0.0610052
"insider trading"	0.0609596
invasion	0.0609103
vote-buying	0.060785
pickoff	0.0607614
rainout	0.0607393
outages	0.0605065
"accounting problem"	0.0604888
Collision	0.0604698
"corruption scandal"	0.0603446
offence	0.0601096
"hostile takeover"	0.0600187
breakout	0.0600181
"war crime"	0.059952
seizure	0.059559
unrest	0.0590442
"power failure"	0.0590085
carnage	0.0585365
stalking	0.058362
Execution	0.0583399
intimidation	0.0582959
debacle	0.0581075
swindle	0.0579617
rampage	0.0578794
hoax	0.0578255
misbehavior	0.0577905
felony	0.0577733
spree	0.0577709
sighting	0.0575383
dishonesty	0.0574646
blackout	0.057454
mutilation	0.057435
outbreak	0.0574123
subversion	0.0573236
purge	0.0572156
dalliance	0.0570336
"dog bite"	0.0569085
diversion	0.0568976
contamination	0.0568511
skirmish	0.0567231
terrorism	0.056612
coup	0.0565556
lynching	0.0564796
lapse	0.0564445
altercation	0.0563126
defection	0.0562261
price-fixing	0.0561147
persecution	0.0560261
slipup	0.0559864
"rate hike"	0.0559426
infraction	0.0558322
tailwind	0.0556258
closings	0.0555669
relapse	0.0553825
snafu	0.0552087
glitch	0.0549844
hooliganism	0.05492
takeover	0.0548765
mega-mergers	0.054833
blackmail	0.0547916
"chemical reaction"	0.054604
misdeed	0.0545702
breach	0.0544492
adulteration	0.0543232
C-section	0.0542757
"nuclear explosion"	0.0541346
brawl	0.0540734
sinking	0.0539781
malignancy	0.0539598
scuffle	0.0538587
desertion	0.0538525
poaching	0.0538521
pileup	0.0537148
brutality	0.0535483
dumping	0.0535257
banditry	0.0534468
"election fraud"	0.0534416
eruption	0.05333
"drug use"	0.0531433
"violent death"	0.0529465
malpractice	0.0528909
"sexual harassment"	0.0528245
exhumation	0.052707
fatality	0.0525787
revers	0.0524797
"resisting arrest"	0.05242
aftershock	0.0522361
eviction	0.052105
deportation	0.0520166
blaze	0.0517854
misstep	0.0516402
ignition	0.0516216
slaughter	0.0514917
destruction	0.0513929
calamity	0.0510888
incest	0.0509871
rustling	0.0508567
mixup	0.0508424
mix-up	0.0508298
aggression	0.0507733
))
(breakage (desc 1043.45) (sims
indigestion	0.0922242
"cash crunch"	0.0915031
"crop failure"	0.0887568
backsliding	0.0826024
aggravation	0.0805118
deformity	0.0741151
slippage	0.0721098
decompression	0.070426
corrosion	0.0698846
wastage	0.0696799
"power failure"	0.0685799
constipation	0.0674819
ignominy	0.0668082
"liquidity problem"	0.0666877
"nervous breakdown"	0.0664586
outages	0.0663572
"financial loss"	0.0655862
relapse	0.064978
sunburn	0.0647873
nosebleed	0.0647389
frostbite	0.0646658
amputation	0.0635624
malformation	0.0632425
flareup	0.0627732
revers	0.0627051
whiplash	0.0618151
heartburn	0.0617147
discouragement	0.061141
"dog bite"	0.0608875
"asthma attack"	0.0605464
"wear and tear"	0.0597265
abrasion	0.0596328
"brain drain"	0.0596036
brownout	0.0590074
depletion	0.0585558
obsolescence	0.0584093
"dust storm"	0.0583533
overexposure	0.0581106
incontinence	0.0576533
stomachache	0.0576155
snafu	0.0575401
calamity	0.0573913
"memory loss"	0.0573128
hypothermia	0.0567438
deformation	0.0565413
gangrene	0.0564104
downtime	0.0564032
customization	0.0558427
dehydration	0.0557177
"heat exhaustion"	0.0549308
"heart failure"	0.0547568
dilution	0.0545364
shrinkage	0.053798
suction	0.0532811
hernia	0.0531036
"mental disorder"	0.0528166
"fatal accident"	0.0527122
reflux	0.0523704
miscarriage	0.0521398
cataclysm	0.0520775
"earnings disappointment"	0.052066
suffocation	0.0520151
misjudgments	0.0518333
inhalation	0.0514258
impairment	0.0513361
atrophy	0.0510451
"market correction"	0.0506106
Ostracism	0.0505818
bloodbath	0.0503121
drowsiness	0.0502557
opprobrium	0.0501688
comeuppance	0.0499891
hiccup	0.0499638
"price competition"	0.0498101
cutoffs	0.0497361
"emotional distress"	0.0494482
foul-up	0.049245
conflagration	0.0492074
"safety problem"	0.0490658
implosion	0.0487855
dislocation	0.0486938
"engine failure"	0.0485773
disintegration	0.0480354
sandstorm	0.048006
urination	0.0479582
"Fred Brathwaite"	0.0478344
flare-up	0.0477671
"food poisoning"	0.0470179
misspelling	0.0469627
"respiratory disease"	0.0466353
"cold wave"	0.0465933
centralization	0.0462805
outage	0.0461142
shakeout	0.0460606
gunplay	0.0459767
blockage	0.0459603
vandalization	0.0459339
ILOVEYOU	0.0459309
"manufacturing business"	0.0458788
discoloration	0.0457233
destabilization	0.0456579
numbness	0.045649
unconsciousness	0.0455444
downturns	0.0454417
"cold spell"	0.0452815
disfigurement	0.045187
side-effects	0.0451578
overheating	0.0449807
flak	0.0447205
dizziness	0.0445614
"close call"	0.0445205
holdup	0.04443
"moral hazard"	0.0442603
pruning	0.0441255
possiblity	0.0438303
"hot flash"	0.0437877
heartbreak	0.0435513
stockpiling	0.0435092
unpleasantness	0.0434264
"tooth decay"	0.0432446
rollovers	0.0430957
double-teams	0.0430729
condensation	0.0428864
"public exposure"	0.0428483
nausea	0.0427978
migraine	0.0426146
acne	0.0424432
chipping	0.0424241
thawing	0.0423868
"panic attack"	0.0423366
Montenegrins	0.0421987
hyphen	0.0421758
"Lyme disease"	0.0418793
"water table"	0.0418448
"chest pain"	0.0417118
spillage	0.0416992
gastroenteritis	0.0416782
commotion	0.0414448
"two meters"	0.0414327
"short circuit"	0.0411181
sell-offs	0.0410177
Osteoporosis	0.0408115
laceration	0.0405664
Stinger	0.0404766
"Donn Handicap"	0.0401595
inferno	0.0400707
Intensification	0.0400578
trimmer	0.0400102
))
(breakaway (desc 11296.8) (sims
tip-in	0.129232
"power play"	0.128634
backhander	0.106236
layup	0.106072
game-winner	0.098148
dunk	0.0934789
"field goal"	0.0933934
"free kick"	0.0929995
"free throw"	0.086689
header	0.0848543
putback	0.0840502
fourth-and-@@	0.0826586
jumper	0.0816148
three-pointer	0.0812629
"bank shot"	0.0774349
timeout	0.0754091
layups	0.0748541
"jump shot"	0.0718205
"corner kick"	0.0717499
"foul shot"	0.0701067
scoring	0.0687424
"another @-pointer"	0.068166
foul	0.0670209
secession	0.0668356
touchdown	0.0640408
"running play"	0.0632881
one-timer	0.0623394
Trey	0.0607848
third-and-@	0.0607478
TD	0.0604978
counterattack	0.0595473
"breaking away"	0.0589135
deflection	0.0582042
fourth-down	0.0580292
equalizer	0.0572418
technicals	0.0547751
equaliser	0.0540306
"hook shot"	0.0523254
interception	0.0520357
volley	0.0518081
possession	0.0513374
"two baskets"	0.0510303
"nine points"	0.0505209
"break of serve"	0.050217
punt	0.049335
"screen pass"	0.0489989
fourth-and-@	0.0487496
"proxy fight"	0.0487338
"service break"	0.0483162
inbounds	0.0478654
"match point"	0.0477987
downs	0.0474875
knockdown	0.0474509
Dafoe	0.0459851
defection	0.045926
crossbar	0.045894
"eight points"	0.0457718
Kolzig	0.0448996
"seven points"	0.0448407
"set point"	0.0446619
"first match point"	0.0441393
basket	0.0436695
"base hit"	0.0429063
"work stoppage"	0.0428014
three-pointers	0.0420781
airball	0.0420539
"wild pitch"	0.0411404
backhand	0.0410563
"three points"	0.0410142
baseline	0.0409426
"ground ball"	0.0404561
"solo homer"	0.0403151
"third and @"	0.0400505
"sacrifice fly"	0.0400235
))
(breakdown (desc 46169.7) (sims
disruption	0.154557
glitch	0.149784
failure	0.146839
malfunction	0.14297
collapse	0.142482
deterioration	0.135594
shortage	0.126382
lapse	0.126341
shutdown	0.122142
outages	0.117729
erosion	0.115895
instability	0.114834
meltdown	0.114631
delay	0.112291
lack	0.111717
problem	0.111204
flaw	0.110361
blackout	0.109979
"power failure"	0.108897
slowdown	0.10844
weakness	0.107018
shortcoming	0.106452
disaster	0.10579
mishap	0.104481
catastrophe	0.103064
outage	0.103028
defect	0.102647
leak	0.102395
cancellation	0.101868
explosion	0.10156
decline	0.101032
difficulty	0.10091
accident	0.0988181
change	0.098327
confusion	0.0977878
crash	0.0968345
downturn	0.095986
chaos	0.0949275
breakup	0.0949103
shortfall	0.0948623
inability	0.0948348
disintegration	0.0947639
error	0.0942205
surge	0.0941917
mistake	0.0936106
turmoil	0.0929937
illness	0.0929442
upheaval	0.0928068
interruption	0.092415
improvement	0.0923205
outbreak	0.0922498
deficiency	0.0918166
spill	0.0915695
stress	0.0909654
cutback	0.0907271
imbalance	0.0903248
incident	0.0898634
unrest	0.0896586
setback	0.0893231
violence	0.089127
shift	0.0891094
crisis	0.0890614
escalation	0.0881426
disparity	0.0878293
loss	0.087708
degradation	0.0876848
breach	0.087621
devaluation	0.087409
injury	0.0873472
paralysis	0.0872009
trouble	0.0870332
Collision	0.0870331
tragedy	0.0868213
abuse	0.0863789
flood	0.0861697
calamity	0.0858708
crises	0.0858239
drought	0.0856576
irregularity	0.0853779
misunderstanding	0.0850536
postponement	0.0848519
epidemic	0.0846205
reversal	0.0845657
inadequacy	0.0842153
famine	0.0841703
closure	0.0841415
recession	0.0836748
woe	0.0834188
foul-up	0.0832751
tension	0.0831733
"economic crisis"	0.0827258
seizure	0.0826804
uncertainty	0.0825118
layoff	0.0824536
slump	0.0823545
plunge	0.0821034
"price increase"	0.0818703
inefficiency	0.0818019
damage	0.0817027
disorder	0.0815601
defection	0.0815291
destruction	0.081263
rejection	0.0811905
split	0.0808581
pollution	0.0808014
miscue	0.0807022
disturbance	0.0806467
mismanagement	0.080522
"health problem"	0.0799858
eruption	0.0799689
impasse	0.0798224
corruption	0.0796626
conflict	0.0794754
contamination	0.0793777
deadlock	0.0793027
stalemate	0.0792279
hardship	0.0792206
absence	0.0786017
consolidation	0.078219
fluctuation	0.0782092
malnutrition	0.0781557
breakthrough	0.0779654
attack	0.0778456
inconsistency	0.0777469
slide	0.0772602
trauma	0.077231
clash	0.0771324
discrepancy	0.0769761
buildup	0.0767911
depreciation	0.0767337
blunder	0.0766978
confrontation	0.0766315
reduction	0.0764253
rupture	0.0760539
derailment	0.0759493
fatigue	0.0758425
gridlock	0.0756517
leakage	0.0756065
decrease	0.0755212
neglect	0.0754862
scarcity	0.0754801
violation	0.0752793
complication	0.0752655
demise	0.0751959
massacre	0.0748872
insolvency	0.0742947
"bank failure"	0.07422
crunch	0.0742052
strike	0.0741765
bug	0.0740591
letdown	0.0740284
freeze	0.0738517
debacle	0.0738436
volatility	0.0737435
gap	0.073722
adjustment	0.0735326
Death	0.0733873
infection	0.0733358
influx	0.0732411
oversupply	0.0731399
scandal	0.0727491
theft	0.0726633
impact	0.0726216
earthquake	0.0725666
bankruptcy	0.0724479
bloodshed	0.0722349
snag	0.0721632
rift	0.0721427
discrimination	0.0721414
weakening	0.0720452
meltdowns	0.0719071
turbulence	0.0719031
disappearance	0.0716578
flare-up	0.0716352
ailment	0.0716311
miscalculation	0.071587
abandonment	0.0715484
bottleneck	0.0714822
arrest	0.0714816
sabotage	0.0714815
"forest fire"	0.0714661
disease	0.0714218
poisoning	0.0713674
hiccup	0.07128
trend	0.0712798
development	0.0712703
snafu	0.0711894
"heart attack"	0.0708716
contraction	0.0708476
insecurity	0.0707682
Proliferation	0.0707137
outburst	0.0706739
rash	0.0705912
Depression	0.0705729
backlash	0.0705308
"bad weather"	0.070523
consequence	0.070495
dislocation	0.0703543
starvation	0.0702624
suicide	0.0701635
))
(breaker (desc 10932.2) (sims
tiebreak	0.177793
tie-break	0.155425
tiebreaker	0.136637
"two match points"	0.0636723
decider	0.0628799
"service break"	0.0532702
"break of serve"	0.0491008
"set point"	0.0479542
"day game"	0.0478495
icebreaker	0.0478
"big leaguer"	0.0477139
"extra inning"	0.0459634
"three match points"	0.0447808
ballgame	0.0417085
"Scarlet Knights"	0.0413619
Bellagio	0.0410782
))
(breakfast (desc 60086.5) (sims
lunch	0.230868
dinner	0.22593
meal	0.173173
luncheon	0.164708
brunch	0.155237
supper	0.122106
banquet	0.120387
buffet	0.107597
dessert	0.105865
coffee	0.104636
reception	0.100456
snack	0.0968403
"news conference"	0.0961768
sandwich	0.0958569
drink	0.0939012
"cocktail party"	0.0900801
meeting	0.0892377
fund-raiser	0.0888885
ceremony	0.08865
"dinner party"	0.0863969
gala	0.0842644
gathering	0.0818152
tea	0.0812585
barbecue	0.080344
"press conference"	0.08012
picnic	0.080055
briefing	0.0800335
refreshment	0.0773784
tasting	0.0766799
feast	0.0745584
food	0.0737736
dish	0.072728
lodging	0.0725414
accommodation	0.0723424
pizza	0.0717825
Hamburger	0.071722
Rally	0.0716308
concert	0.0714785
dining	0.0713492
menu	0.0707487
salad	0.0697153
celebration	0.0695047
session	0.0693349
cocktail	0.0687775
parade	0.0678688
appetizer	0.0678619
restaurant	0.0673186
event	0.066586
bread	0.0654753
interview	0.0653982
entree	0.0651778
Beer	0.0650457
fare	0.0649371
soup	0.0645859
vigil	0.064362
tour	0.0641578
conference	0.0640875
"hot dog"	0.0636552
bath	0.063131
lecture	0.0624853
festivity	0.0617512
seminar	0.0616821
"news briefing"	0.0614286
pasta	0.0612785
conversation	0.060745
table	0.0605827
holiday	0.0603292
parking	0.0602703
reunion	0.0602097
forum	0.0601162
ticket	0.0599644
champagne	0.0599561
festival	0.0599071
pie	0.0598226
discussion	0.059608
"prayer service"	0.0595283
toast	0.0592694
"press briefing"	0.059124
cake	0.0586118
"open house"	0.0585826
wedding	0.0584297
biscuit	0.057964
"panel discussion"	0.0578975
bagel	0.0575062
wine	0.0571574
cooking	0.0570464
funeral	0.0570262
steak	0.0567811
"town meeting"	0.056767
suite	0.0558436
workshop	0.0556996
room	0.0556849
fair	0.055285
"ice cream"	0.0552141
bash	0.0552066
chat	0.0551987
Roundtable	0.0550923
soiree	0.0547932
trip	0.054657
screening	0.0546096
speech	0.0543293
"pep rally"	0.0538874
"church service"	0.053387
hotel	0.0532904
ride	0.0532461
seafood	0.0530461
bar	0.0529482
workout	0.0529374
teleconference	0.0527708
symposium	0.0525493
presentation	0.0525441
cuisine	0.0524617
chicken	0.0524322
summit	0.0521572
mass	0.0520499
eating	0.0514513
commemoration	0.0513902
burger	0.0512448
massage	0.0511855
bowl	0.0510771
Entertainment	0.0508549
excursion	0.0506377
cooky	0.0505521
vacation	0.0504155
hearing	0.0503406
prayer	0.0500573
recipe	0.0499473
sushi	0.0496975
gourmet	0.0496614
kitchen	0.0496258
meat	0.0495088
auction	0.0493375
rental	0.0492713
espresso	0.0491868
cruise	0.0490292
"main course"	0.0488916
special	0.0486846
vegetarian	0.048431
cup	0.0483765
discount	0.0481125
contest	0.0480075
Diet	0.0479987
Exhibition	0.0479864
gift	0.0475904
cheese	0.0475463
"dining room"	0.0474457
dance	0.0472647
bed	0.0472212
Thanksgiving	0.0471041
exhibit	0.0470779
package	0.0469916
occupancy	0.0469912
shopping	0.0469679
doughnut	0.0468079
"hotel room"	0.046753
cafe	0.046568
pastry	0.0463759
convention	0.0461839
serving	0.0461276
taco	0.0459782
candy	0.0459691
"summit meeting"	0.045924
fruit	0.0458812
garden	0.0458666
demonstration	0.0457985
lunchtime	0.0457804
hour	0.045763
"get together"	0.0457404
sightseeing	0.0456537
beverage	0.0455828
appearance	0.045013
burgers	0.0449745
tray	0.0449327
Evening	0.0449057
seating	0.0448742
"soft drink"	0.0448732
memorial	0.0448265
amenity	0.0447941
popcorn	0.0447818
opening	0.044655
fundraiser	0.0446358
"conference call"	0.0445391
"phone call"	0.0444876
inauguration	0.0443697
procession	0.0443066
plate	0.0442919
telephone	0.0441986
recital	0.0441225
soda	0.0440699
shower	0.0440118
lemonade	0.0438891
function	0.0437292
sausage	0.0436819
specialty	0.0436124
guest	0.0435882
diner	0.0432866
matinee	0.0432661
"practice session"	0.0432434
preview	0.0432381
caucus	0.042931
))
("breakfast table" (desc 1397.91) (sims
"kitchen table"	0.105097
"conference table"	0.0996942
"round table"	0.084188
"dining table"	0.0796395
"dinner table"	0.0762901
countertops	0.0678119
dacha	0.0629216
"target area"	0.062562
courtside	0.061852
"dinner party"	0.060709
Shiva	0.060632
"love seat"	0.0602436
"sweet tooth"	0.0599368
bedside	0.0593489
"herb garden"	0.0582892
"living arrangement"	0.0580272
"crown jewels"	0.0552536
"Oakland Coliseum"	0.0544501
"Camp Zeist"	0.054332
heartstrings	0.0537557
"writing desk"	0.0535658
settee	0.0525264
"city block"	0.0500569
"Dutch oven"	0.0497536
"Arctic Ocean"	0.0494017
breadbasket	0.0489551
rostrum	0.0484498
fryer	0.0473147
ringside	0.0469299
subconscious	0.0468344
"credit bureau"	0.0467302
bedtime	0.0459044
Fondue	0.0457511
kilometre	0.0454927
"coffee table"	0.0443604
countertop	0.0438324
"broadcasting company"	0.0429312
"frying pan"	0.0429012
stockpot	0.0424018
"easy chair"	0.0420698
"dance floor"	0.0412436
commode	0.0407596
gazebo	0.0406725
outcrop	0.0406592
midsection	0.0403509
))
(breaking (desc 2367.09) (sims
shattering	0.0991111
smashing	0.09704
loosening	0.0867621
lowering	0.0766377
fulfilment	0.0718602
toppling	0.0711228
breaching	0.06425
reaffirmation	0.0626727
scrapping	0.059114
unraveling	0.0589348
abolishment	0.058753
softening	0.0579519
worsening	0.0563932
overexposure	0.0559316
dropping	0.0544838
naming	0.054483
imposition	0.0537081
deepening	0.0522336
relaxation	0.0519725
revocation	0.0511105
re-opening	0.0505779
decimation	0.0501028
"dog bite"	0.049879
destabilization	0.0496842
warming	0.049682
easing	0.0496125
Tightening	0.0492295
establishing	0.0486974
setting-up	0.0480454
abolition	0.0480015
Intensification	0.0474519
lessening	0.047208
sealing	0.0471043
"Cliffs Notes"	0.0468085
"Revised Version"	0.046448
reconsideration	0.0460329
promulgation	0.0456889
hardening	0.0453232
flareup	0.0449519
sheaf	0.0448721
bundling	0.0448591
misinterpretation	0.0447688
redefinition	0.044755
"change of direction"	0.044685
abandonment	0.0446756
predominance	0.0446253
licensing	0.0442134
simplification	0.0440971
weakening	0.0440741
legalization	0.0435009
broadening	0.0434204
reintroduction	0.0431714
reestablishment	0.0430303
iteration	0.0428505
Heard	0.0428099
thinning	0.0425664
dismantling	0.0425537
reevaluation	0.0425126
analyses	0.0424322
"Article @"	0.0422357
drudgery	0.0418902
reallocation	0.0418686
streamlining	0.0417337
dismemberment	0.0415772
Americanization	0.0414548
travesty	0.0413112
reorientation	0.0407115
"price reduction"	0.0403087
perpetuation	0.0402599
restatement	0.0401164
))
("breaking away" (desc 3565.54) (sims
secession	0.100884
"running away"	0.0593728
breakaway	0.0589135
"Declaration of Independence"	0.0532579
"stepping down"	0.0500956
deviation	0.0487299
"about six miles"	0.0464457
Emigration	0.0429895
))
("breaking ball" (desc 7696.19) (sims
curveball	0.397522
slider	0.38191
changeup	0.332369
sinker	0.282023
fastball	0.268863
change-up	0.267025
curveballs	0.257199
forkball	0.241208
splitter	0.210259
changeups	0.198449
"off-speed pitch"	0.175941
pitch	0.165329
curve	0.159452
knuckleball	0.158744
screwball	0.104105
"wild pitch"	0.0882698
"ground ball"	0.0806026
velocity	0.0764437
"foul ball"	0.0724814
grounder	0.0697442
floater	0.0687757
"line drive"	0.0675213
bunt	0.0658759
"ball club"	0.0653047
"fly ball"	0.0649306
strikeout	0.0645746
one-hopper	0.0629596
blooper	0.0622136
cutter	0.0612868
"seventh homer"	0.0588725
ballgames	0.0587284
"fifth homer"	0.0582075
backhand	0.0569766
forehand	0.0563341
putter	0.0548409
"hook shot"	0.0542915
"piece of work"	0.0538434
liner	0.0536426
at-bat	0.0526302
"drop shot"	0.052405
"double play"	0.0523102
downfield	0.0522486
"won-lost record"	0.0521031
"raw meat"	0.0519072
baserunner	0.0518907
"jump shot"	0.051518
"speeding ticket"	0.0510543
"sand wedge"	0.0510316
composure	0.0509695
chisel	0.0507114
hitter	0.0505849
sidearm	0.05047
pitching	0.0502148
"Hail Mary"	0.0494748
"chip shot"	0.0492373
eyesight	0.0491179
jab	0.0490852
"three pitchers"	0.0487572
double-teams	0.0484619
"screen pass"	0.0482712
up-and-down	0.0482711
wideouts	0.0481939
"big shot"	0.048093
no-hitter	0.047917
"golf ball"	0.0478538
"boxing glove"	0.0477897
"base hit"	0.0477197
"response time"	0.0477001
"solo homer"	0.0474488
"second homer"	0.0474098
racquet	0.0473226
keystrokes	0.0468916
dribbler	0.0467224
"four homers"	0.0466881
ballclub	0.0465414
ballgame	0.0463927
puck	0.0463717
"hundred miles"	0.0461405
heater	0.046135
Irishmen	0.046112
"natural ability"	0.0459487
"tennis ball"	0.0456897
Millwood	0.0456145
snit	0.045595
"positive feedback"	0.0448207
wrister	0.0446417
em	0.0445231
quickness	0.0444369
"running play"	0.0439138
popup	0.0437863
rickshaw	0.043728
"race car"	0.0436308
back.	0.0436202
adrenaline	0.043503
"passing shot"	0.043372
"third homer"	0.0433031
"grand slam"	0.0432401
clunker	0.0432261
"detective work"	0.0431451
tempo	0.0431084
comebacker	0.042952
putt	0.0428307
"five homers"	0.0428007
"approach shot"	0.0427923
"sixth homer"	0.0422577
screamer	0.0422474
"base runner"	0.0421025
"sense of humor"	0.0420536
two-out	0.0420432
"sacrifice fly"	0.0418968
"sense of smell"	0.041696
"running game"	0.0416258
groundout	0.0413568
ass	0.041338
oar	0.0412967
"good story"	0.0411769
things	0.0411259
harder	0.0411033
slant	0.0409706
closers	0.0407383
upside	0.0406956
"two homers"	0.0406933
off-balance	0.0403512
layups	0.0403442
horsepower	0.0402828
"ball game"	0.0402081
"Big Unit"	0.0401399
"first homer"	0.0400603
))
("breaking off" (desc 1649.12) (sims
inter-Arab	0.181809
U.S.-Russian	0.174677
inter-Korean	0.159747
Russian-U.S.	0.158712
cross-Straits	0.14377
Sino-French	0.1341
Sino-African	0.132797
U.S.-China	0.130661
China-U.S.	0.125487
Sino-British	0.122274
Sino-U.S.	0.114792
U.S.-Japan	0.114485
Arab-Israeli	0.112779
Sino-Japanese	0.111557
Israeli-Arab	0.105322
Asia-Europe	0.0998117
Sino-Russian	0.0964241
Palestinian-Israeli	0.0959235
Japan-U.S.	0.0939028
Israeli-Palestinian	0.0915545
on-and-off	0.0902795
Non-governmental	0.082716
Israeli-Syrian	0.0824655
north-south	0.0781834
Syrian-Israeli	0.0737918
state-to-state	0.0724988
one-to-one	0.0697117
backroom	0.0603517
Behind-the-scenes	0.0589507
Franco-German	0.0571778
final-status	0.0551611
INDIA-PAKISTAN	0.0547591
House-Senate	0.0535374
"talk of the town"	0.0532857
FTAA	0.051373
one-inch	0.0512729
"START III"	0.0508982
"Uruguay Round"	0.0495073
IC	0.0466031
interagency	0.0453062
"cutting off"	0.0448401
fostering	0.0445261
"up to @@ miles"	0.0444245
fallen	0.0442188
pep	0.043955
sub-regional	0.0429032
"Agenda @@@@"	0.0427642
Yew	0.0416566
one-timer	0.0408581
GATT	0.0407372
))
("breaking point" (desc 2569.01) (sims
"day of reckoning"	0.0721639
fullest	0.0662995
intraday	0.0612962
Zenith	0.0601569
nadir	0.0599435
"North Pole"	0.0570617
fruition	0.0549533
"rock bottom"	0.0543286
extinction	0.0540678
"record level"	0.0526575
equator	0.051827
"one billion US dollars"	0.051694
goalpost	0.0503457
deuce	0.0499611
"camp site"	0.0491884
"retirement age"	0.0484202
"six billion"	0.0473759
"dead end"	0.0470669
"line of scrimmage"	0.0470642
Godot	0.0461574
nil	0.0454913
"sense of direction"	0.0450338
Ojai	0.0449096
"Arctic Ocean"	0.0447506
"Earth's surface"	0.0446824
"piggy bank"	0.0445647
"two billion US dollars"	0.0443307
"knockout punch"	0.0442564
"one billion"	0.0442122
apotheosis	0.0432613
stanozolol	0.0432046
apex	0.0431019
"critical point"	0.0427511
"two baskets"	0.0427385
"League of Nations"	0.0423741
hilt	0.0417273
"credit system"	0.04158
maneuvering	0.0415609
"set point"	0.0413261
Hindery	0.0412407
))
(breakout (desc 8505.66) (sims
outbreak	0.113042
eruption	0.0966389
flare-up	0.0965397
flareup	0.0954272
recurrence	0.0878933
resurgence	0.0840276
upsurge	0.083991
escalation	0.0816566
breakthrough	0.076667
crossover	0.0746422
spreading	0.0742948
Intensification	0.0731485
spillover	0.0699746
de-escalation	0.0663965
relapse	0.0659817
indie	0.0654172
ravages	0.0631844
spectre	0.0631103
subpar	0.0629534
putsch	0.0609598
catastrophe	0.0607369
blockbuster	0.0603233
blowout	0.0603089
break-in	0.0600181
occurrence	0.0599579
"Hail Mary"	0.0593959
temblor	0.0591371
turnaround	0.0588562
"flash point"	0.0588263
"New Wave"	0.0584427
slasher	0.0581223
comeback	0.0579656
worsening	0.0573924
sleeper	0.0565351
"cold spell"	0.0562056
meltdown	0.0559141
onset	0.05548
"Top @@"	0.0552143
sub-par	0.0550601
casualty	0.0546007
stayaway	0.0539931
off-Broadway	0.0539909
heist	0.0537895
spate	0.053281
spurt	0.053193
upturn	0.0528033
Quake	0.0518771
relegation	0.0513556
top-@@	0.0509872
"turning point"	0.0507279
"nuclear explosion"	0.0505035
conflagration	0.0503756
mishap	0.050287
"first six"	0.0500977
"market correction"	0.0500937
"first three"	0.0499837
uprising	0.0497835
"this @@@@"	0.049705
calamity	0.0495652
earthquake	0.0495415
abduction	0.0494023
shakedown	0.0493029
five-point	0.0492986
"fatal accident"	0.0492404
shocker	0.0490393
"bear market"	0.048785
walkout	0.0487757
"cold snap"	0.0487205
"rate rise"	0.0486845
foul-up	0.0486816
breakdown	0.0486766
"first seven"	0.0484223
bloodbath	0.0482348
seesaw	0.0482118
sell-offs	0.048171
instigator	0.0480589
"first two"	0.0478784
"coup attempt"	0.0477481
epidemic	0.0477104
MacDonald's	0.0476625
coup	0.0475003
superhero	0.0474221
"first eight"	0.0474101
"flash flood"	0.0473866
reversal	0.0473629
devastation	0.0473509
carnage	0.0472181
insolvency	0.0471522
spiral	0.0470525
extinction	0.04704
acceleration	0.0470091
selloff	0.0469996
outburst	0.0469097
slowdown	0.0466668
"turn of events"	0.0466253
overheating	0.0465354
devaluation	0.0465187
"rate increase"	0.0465033
disruption	0.0463466
aftershock	0.0462731
lynching	0.046003
"hostile takeover"	0.0459716
"first five"	0.0459466
"volcanic eruption"	0.0459419
improv	0.0458426
"ice storm"	0.0458117
rash	0.0458063
reunion	0.0457016
cabaret	0.0456369
"crime wave"	0.045625
lull	0.0455928
defection	0.0454665
"rate hike"	0.0452094
flashpoints	0.0449283
retrenchment	0.0449206
atrocity	0.0448843
"first nine"	0.0448698
two-point	0.0448458
defining	0.0448031
Terminator	0.0447551
cataclysm	0.0446531
riot	0.044604
Spring/Summer	0.0445931
mutiny	0.0445166
aftereffect	0.0445109
hiccup	0.0444882
"Indiana Jones"	0.0444124
"Kung Fu"	0.0444122
brunt	0.0444078
hijacking	0.0442074
kidnapping	0.0441823
shutdown	0.0440109
assassination	0.0440087
holdup	0.0439811
"Off Broadway"	0.0438992
nadir	0.0436461
horror	0.0435571
upheaval	0.0434168
nightmare	0.0429032
infiltration	0.0428951
uptick	0.0428375
nonevent	0.0427949
letdown	0.0427924
suicide	0.0427609
"next six"	0.0426648
apocalypse	0.0426596
crux	0.0426559
Typhoon	0.042535
continuation	0.0424669
revolt	0.0424246
"bomb blast"	0.0424111
about-face	0.0423674
"nervous breakdown"	0.0423638
blowup	0.0423151
shakeout	0.0422861
Grisham	0.0422538
"power failure"	0.0422511
blackout	0.0421567
"top dog"	0.042112
disintegration	0.0419879
nub	0.0419524
downturn	0.0419516
"brain drain"	0.0419402
incidence	0.0419279
masquerade	0.0419277
Correction	0.0419071
oddball	0.0419051
"three pitchers"	0.0417993
"eight homers"	0.0417848
Porno	0.0416547
disappearance	0.0415356
sandstorm	0.0414967
"dramatic event"	0.0414387
acquirer	0.0414165
heroics	0.0413964
"big time"	0.0413699
"rate cut"	0.0413667
widening	0.0412966
fallout	0.0412689
matinee	0.041252
"policy change"	0.0412097
outages	0.0412082
repetition	0.0412043
insurrection	0.0411705
scourge	0.0411373
rampage	0.0411316
famine	0.041123
"R&AMP;B"	0.0411192
cover-up	0.0409307
crunch	0.0409201
disturbance	0.0409175
incursion	0.0409105
bravura	0.0408822
"next four"	0.0408775
milestone	0.0408152
looting	0.0407858
aggravation	0.0407089
leakage	0.0406583
raunchy	0.0406429
spinoff	0.0406118
))
(breakthrough (desc 54260.6) (sims
progress	0.151911
milestone	0.144339
"turning point"	0.126901
achievement	0.120068
success	0.114403
compromise	0.112365
improvement	0.108775
turnaround	0.108441
solution	0.102317
change	0.101833
step	0.101153
headway	0.100686
innovation	0.100079
development	0.0985222
agreement	0.0936367
recovery	0.0923814
outcome	0.0922121
advance	0.0915169
reversal	0.09014
miracle	0.0900118
accomplishment	0.0875539
setback	0.0874182
discovery	0.0866832
"first step"	0.0863293
boost	0.0854707
triumph	0.08533
shift	0.0849404
advancement	0.0844393
concession	0.0825509
result	0.0809249
deadlock	0.0800877
opportunity	0.0800006
thaw	0.0792785
accord	0.0788736
settlement	0.0781801
initiative	0.0780721
breakdown	0.0779654
resumption	0.0777367
comeback	0.0771818
"rate cut"	0.0768663
deal	0.0768623
breakout	0.076667
peace	0.0764349
landmark	0.0762092
cooperation	0.0762024
intervention	0.0759377
cure	0.0756706
victory	0.0756124
consensus	0.0750769
negotiation	0.0745145
catastrophe	0.0742626
growth	0.074037
finding	0.0737744
forward	0.0733801
participation	0.0727784
upturn	0.0725689
action	0.0721813
slowdown	0.0713386
consolidation	0.0712273
resolution	0.0710039
expansion	0.0708982
mediation	0.0704566
disaster	0.0703923
reform	0.0701447
trend	0.070037
challenge	0.0696382
obstacle	0.0695229
effort	0.0694443
conclusion	0.0692362
cease-fire	0.0689332
"policy change"	0.0687826
reconciliation	0.0686559
transformation	0.0685551
reduction	0.0683057
failure	0.0681434
resurgence	0.0679939
"rate hike"	0.0679439
role	0.0677911
problem	0.0677791
revival	0.0677462
surprise	0.0674441
stride	0.0674255
reshuffle	0.0673045
feat	0.0670866
adjustment	0.0670102
watershed	0.0668866
boom	0.0668673
stalemate	0.0668039
revolution	0.0666503
strategy	0.0664382
momentum	0.0663059
confrontation	0.0662131
process	0.0661235
renaissance	0.0660215
decision	0.0659299
leap	0.0659238
priority	0.0658211
coup	0.0656566
shake-up	0.0656517
"rate increase"	0.0654107
technology	0.0652799
flaw	0.0651334
stability	0.0649659
truce	0.0644584
gain	0.0644299
partnership	0.0641069
difference	0.0640277
event	0.0639744
"rate rise"	0.0639418
departure	0.0633663
understanding	0.0632989
measure	0.0631203
factor	0.0630374
"stumbling block"	0.0629788
flexibility	0.0628543
recognition	0.0626466
Correction	0.0624891
delay	0.0621882
stance	0.0621547
potential	0.0621534
"rapid growth"	0.0619252
impasse	0.0618658
Invention	0.0617427
collapse	0.0617169
pact	0.0616968
mistake	0.0616647
continuation	0.0616167
discussion	0.0615823
indication	0.0615315
decline	0.0615266
investment	0.0614966
experience	0.0614962
cutback	0.0614098
commitment	0.0613764
research	0.0611895
upgrade	0.0610821
disruption	0.0610399
prosperity	0.0610018
experiment	0.0609602
proof	0.0608581
news	0.0607977
undertaking	0.0607881
difficulty	0.0606548
epiphany	0.060595
"price increase"	0.0604951
vindication	0.0604849
endorsement	0.0604324
postponement	0.0603939
harvest	0.0603359
interest	0.0601856
policy	0.0601184
surge	0.0601145
easing	0.0599583
collaboration	0.0599462
impact	0.05991
tool	0.0598308
involvement	0.059816
Declaration	0.0597817
dialogue	0.0597139
rapprochement	0.0596786
takeover	0.0596386
verdict	0.0595494
"job cut"	0.0594861
merger	0.0593753
Pioneer	0.0593485
blockbuster	0.059183
test	0.0591012
importance	0.0590878
expertise	0.0590652
tragedy	0.0590641
weakness	0.0590027
efficiency	0.0589717
acceptance	0.0589497
snag	0.058903
prospect	0.0588881
advantage	0.0588193
relief	0.058818
payoff	0.0587213
signing	0.0586963
synergy	0.0586738
chance	0.0586451
contribution	0.0586347
upsurge	0.0586289
"fresh start"	0.0585455
future	0.0584161
proposal	0.0584088
referendum	0.0583697
hike	0.0583032
blueprint	0.0582845
summit	0.0581946
blunder	0.0581093
rebirth	0.0581066
transition	0.0580931
element	0.0580818
withdrawal	0.0580445
performance	0.0580122
revision	0.0580024
confirmation	0.057991
"success story"	0.0579737
announcement	0.0579271
))
(breakup (desc 32450.2) (sims
disintegration	0.14608
collapse	0.133698
demise	0.117951
dissolution	0.111581
takeover	0.108934
divorce	0.10495
shutdown	0.101424
merger	0.0978165
reorganization	0.097234
breakdown	0.0949103
separation	0.0916834
ouster	0.0900944
cancellation	0.0898929
devaluation	0.0892509
split	0.0877202
cutback	0.0875451
invasion	0.0864039
divestiture	0.086035
closure	0.0858894
removal	0.0853812
withdrawal	0.0852091
consolidation	0.0850105
downfall	0.0848689
Dismissal	0.083122
liquidation	0.0825255
defection	0.0821317
deregulation	0.0813468
Privatization	0.0802349
catastrophe	0.0801493
layoff	0.0800611
overhaul	0.0796972
"military action"	0.0795879
escalation	0.0792621
postponement	0.0788838
pullout	0.0782058
confrontation	0.0780989
tragedy	0.0780744
intervention	0.0780201
failure	0.0767391
departure	0.0767247
shakeout	0.0766518
restructuring	0.0764722
destruction	0.0761934
meltdown	0.0760355
expulsion	0.0758319
upheaval	0.0756267
eruption	0.0754273
creation	0.075209
expansion	0.0751821
resignation	0.0751521
instability	0.07489
realignment	0.0747437
disaster	0.0747155
dismantling	0.0745971
outbreak	0.0744428
downturn	0.0742655
deterioration	0.0741024
war	0.0741007
Collision	0.0740746
crash	0.0736509
acquisition	0.0731071
downsizing	0.0728322
recession	0.072659
"split up"	0.0725902
calamity	0.0724253
blackout	0.0721914
termination	0.072065
defeat	0.0718576
buyout	0.0718146
slowdown	0.0716946
lifting	0.0716105
reshuffle	0.0714604
bankruptcy	0.071418
Death	0.0712947
"budget cut"	0.0710743
"rate hike"	0.071007
spill	0.0709401
deportation	0.0703634
debacle	0.0702775
suspension	0.0702718
secession	0.0702255
"rate cut"	0.0701812
exodus	0.0701233
bailout	0.069457
unraveling	0.0692449
restoration	0.0692363
impeachment	0.0691392
partition	0.0688687
massacre	0.0687853
crisis	0.0687144
reduction	0.0686854
crises	0.0686718
shortage	0.0685903
"civil war"	0.0685052
revision	0.0683827
elimination	0.0682995
evacuation	0.0679579
overthrow	0.0679239
emergence	0.0677851
unrest	0.0677845
delay	0.067754
"policy change"	0.0675121
boycott	0.0675063
desegregation	0.0673755
renewal	0.0673645
"rate increase"	0.0673377
seizure	0.0673212
famine	0.0672771
"price increase"	0.0672526
enlargement	0.0672028
deployment	0.0671646
repeal	0.0667161
"tax increase"	0.0666866
sell-off	0.0665218
bombing	0.0664999
crackdown	0.066424
transformation	0.066315
revolution	0.0660934
integration	0.0659541
turnaround	0.065868
unification	0.0657582
adoption	0.0657173
shake-up	0.0656897
freeze	0.065682
closings	0.0654596
Acquittal	0.0654239
ban	0.0652174
explosion	0.0651031
shift	0.0650619
shakeup	0.064745
assassination	0.0647251
turmoil	0.06451
scandal	0.0644751
plunge	0.0644678
erosion	0.0644365
reform	0.0644106
disruption	0.0643251
trauma	0.0643161
abandonment	0.0642485
eviction	0.0642483
formation	0.0642178
loss	0.0642169
hike	0.0641788
disappearance	0.0640386
airstrikes	0.0640113
conflict	0.0639472
accident	0.0638181
reunification	0.0637959
sanction	0.0637164
independence	0.0636339
"market correction"	0.0635828
incident	0.063536
coup	0.0634412
abduction	0.0631646
marriage	0.0630029
action	0.0628005
Liberalization	0.0627628
retirement	0.0627477
spinoff	0.0626936
"name change"	0.0626454
riot	0.0624112
censure	0.0623093
influx	0.0622647
retrenchment	0.0619071
chaos	0.0619009
suicide	0.0618802
relocation	0.0613789
"tax cut"	0.0613698
drought	0.061193
abolition	0.0611207
bloodshed	0.0610877
selloff	0.0610085
recovery	0.0609931
relationship	0.0609748
"work stoppage"	0.0609528
hijacking	0.0609448
thaw	0.0608598
continuation	0.0608553
depreciation	0.0608056
introduction	0.0604785
feud	0.0604452
annexation	0.0603037
"arms race"	0.0602503
lockout	0.0602229
rejection	0.0600859
demolition	0.0600659
resumption	0.0600472
boom	0.0599438
disclosure	0.0599357
buildup	0.0598885
resurgence	0.0598829
mishap	0.0596986
Tightening	0.0594903
raid	0.0593223
flood	0.0592841
slump	0.0590188
"economic crisis"	0.0589916
"labor dispute"	0.0589322
reunion	0.0589038
Execution	0.0588361
))
(breast (desc 42646.9) (sims
prostate	0.228733
ovary	0.14756
lung	0.134302
bladder	0.132394
kidney	0.127312
colon	0.126553
"chicken breast"	0.126234
buttock	0.12308
uterus	0.122171
thigh	0.121395
liver	0.121033
stomach	0.118077
abdomen	0.115109
"lymph node"	0.114019
chest	0.112901
cervix	0.112607
pancreas	0.112593
skin	0.107696
esophagus	0.10727
genital	0.104071
"colon cancer"	0.103676
"prostate gland"	0.102954
testicle	0.10039
chicken	0.100092
tumor	0.0992265
cancer	0.0985517
rib	0.0977752
steak	0.0973936
brain	0.0961478
"lung cancer"	0.0934646
melanoma	0.0932329
"skin cancer"	0.0931916
fillet	0.0929903
pelvis	0.091288
Loin	0.0898013
neck	0.089395
throat	0.0892263
intestine	0.0891265
belly	0.0843644
tissue	0.0838471
penis	0.0829093
shoulder	0.0827604
meat	0.0805731
"heart disease"	0.0805524
chop	0.0802743
thyroid	0.0796636
leg	0.0795239
vagina	0.0793906
torso	0.0791169
"pork tenderloin"	0.0785145
hip	0.0779645
bone	0.0777121
cutlet	0.0773893
leukemia	0.0773667
genitalia	0.0765143
gland	0.0762297
"brain tumor"	0.0755161
forearm	0.0752667
spleen	0.0751963
ear	0.075014
polyp	0.0748087
pork	0.0744999
limb	0.0742442
ham	0.0742221
"leg of lamb"	0.0734538
"spinal cord"	0.0728501
potato	0.0718598
tomato	0.071272
tenderloin	0.0704937
lip	0.0703709
Osteoporosis	0.0701881
lamb	0.0701119
hair	0.0700893
lymphoma	0.0699495
heart	0.0697503
mouth	0.0692261
salmon	0.0691471
sausage	0.0688134
"bone marrow"	0.0686124
eye	0.0685848
cheek	0.0685304
finger	0.0684302
tonsil	0.0681209
muscle	0.0671777
"cardiovascular disease"	0.0669546
eggplant	0.0668128
nose	0.0665309
diabetes	0.0663786
knee	0.0662105
brisket	0.0660911
fish	0.0659135
infertility	0.0653839
shrimp	0.0652341
teeth	0.0650524
slice	0.0649944
bosom	0.064603
cataract	0.0645205
egg	0.0643913
arm	0.0639308
jaw	0.0637469
"blood vessel"	0.063475
nipple	0.0633336
flesh	0.0631993
elbow	0.0630447
body	0.0626552
asthma	0.0625753
cornea	0.0622063
halibut	0.0614232
vegetable	0.0607657
cavity	0.0603398
skull	0.0601369
eyelid	0.0601115
lesion	0.0599314
"multiple sclerosis"	0.0589652
dish	0.0586625
onion	0.0584544
cake	0.0580183
baby	0.0578417
bacon	0.0576344
tongue	0.0576163
duck	0.0575039
quail	0.0573973
calf	0.057278
arthritis	0.05713
forehead	0.0570904
hepatitis	0.057046
tail	0.0569851
wrist	0.0569172
lump	0.056862
spine	0.0567887
fat	0.0564177
meatloaf	0.0563487
rat	0.0562155
nostril	0.0560682
asparagus	0.055894
leaf	0.0557782
Sirloin	0.0557044
hypertension	0.0556401
shank	0.0555043
blood	0.0553588
roast	0.0552616
Alzheimer	0.0551937
Chin	0.0549619
scallop	0.0549363
hen	0.0546815
salad	0.0545523
HIV	0.0543373
"heart attack"	0.0540424
"Parkinson's disease"	0.0540244
cyst	0.054003
beef	0.0539243
disorder	0.0538998
mushroom	0.0537886
toe	0.0534895
scalp	0.0533746
leek	0.0532537
nerve	0.0532301
"breast implant"	0.0532282
"high blood pressure"	0.0530521
cheese	0.0530298
lobster	0.0530065
bowel	0.0529907
organ	0.0528372
ankle	0.0528326
epilepsy	0.0527914
pig	0.0525806
waist	0.0525789
loaf	0.0524646
biceps	0.0524304
cell	0.0523023
pie	0.0521545
sinus	0.0520517
artichoke	0.052034
disease	0.0518712
vein	0.0516882
cloth	0.0516412
piece	0.0516265
mice	0.051586
tuna	0.0514043
butt	0.0513781
bread	0.0513337
groin	0.0512191
marrow	0.0509398
Parkinson's	0.0507622
sandwich	0.0506155
dysfunction	0.0505494
dementia	0.0505292
Obesity	0.0503799
infant	0.0502935
womb	0.0502278
cube	0.0502
"bell pepper"	0.0501324
fetus	0.0499954
bruise	0.0499424
"blood cell"	0.0497099
cartilage	0.0496167
backside	0.0495565
autism	0.0493916
pumpkin	0.0492864
soup	0.0491789
))
("breast implant" (desc 5536.04) (sims
implant	0.265181
Propulsid	0.117557
Rezulin	0.111046
"alcoholic beverage"	0.092464
gallstone	0.0886552
asbestos	0.0846764
liposuction	0.0844167
augmentation	0.0825126
defibrillators	0.0809299
Norplant	0.0794062
"skin cancer"	0.0769993
silicone	0.0768101
"hand-held computer"	0.0767855
Fen-Phen	0.0764518
takings	0.0747611
gallbladder	0.0742252
watercraft	0.0739239
LASIK	0.0732806
Vaccine	0.0725539
defibrillator	0.0717444
contraceptive	0.0701032
"brain tumor"	0.0698321
condom	0.0684178
"specialty chemical"	0.0680289
"picture tube"	0.0674725
Redux	0.0674445
epilepsy	0.0673507
tobacco	0.067303
"consumer electronics"	0.0663921
"aircraft engine"	0.0661013
AZT	0.0658885
firearm	0.0653748
hernia	0.0649098
thyroid	0.0648626
"hearing aid"	0.0647478
"storage device"	0.0646843
Zoloft	0.0638241
smoking	0.0637907
"household appliance"	0.0637427
"water heater"	0.0636843
Claritin	0.0634874
ovary	0.0633408
SETTLES	0.0632368
bladder	0.0631393
"lung cancer"	0.0626578
MTBE	0.0624912
"cosmetic surgery"	0.061888
adenovirus	0.0617262
pacemaker	0.061487
tamoxifen	0.0609875
multimillion	0.0606288
desegregation	0.0605593
prostate	0.0602654
disbarment	0.0601019
fenfluramine	0.059691
RICO	0.0596293
"communications equipment"	0.0596095
"memory chip"	0.059448
"home appliance"	0.0594166
"face lift"	0.0590742
interferon	0.0589499
glaucoma	0.0585412
Phentermine	0.0585221
tort	0.0583131
"colon cancer"	0.057829
als	0.0577136
"cellular telephone"	0.0575736
additive	0.0573365
libel	0.0570778
Prozac	0.0569684
"cystic fibrosis"	0.0568957
Celebrex	0.0568369
stents	0.0565174
RU-@@@	0.0559607
"office furniture"	0.0558754
testicle	0.0557353
cataract	0.0553409
sealant	0.0549525
"electronic equipment"	0.0547787
MDMA	0.054746
andro	0.0546304
circumcision	0.0545449
hypertension	0.054496
cosmetic	0.0544331
"Branch Davidian"	0.054289
"lymph node"	0.0542051
dementia	0.0541936
PCBs	0.0541337
"Paula Corbin Jones"	0.0539603
"John Doe"	0.0538237
infringement	0.0537804
"golf equipment"	0.0537557
"kidney stone"	0.0537228
"muscular dystrophy"	0.0532981
supercomputers	0.0532875
uterus	0.0532716
breast	0.0532282
Davidian	0.0531765
semiconductor	0.052878
suture	0.0525394
pesticide	0.0523316
mastectomy	0.0520357
viagra	0.0519347
Osteoporosis	0.0518814
"Confederate flag"	0.0518587
LIPITOR	0.0517769
snowmobile	0.0515741
Relenza	0.051221
"food product"	0.0511467
appendix	0.050932
polyp	0.0507146
autism	0.0506625
DDT	0.0504934
diabetes	0.0503189
malpractice	0.0503159
liquor	0.0502415
antibiotic	0.0500642
"color television"	0.0498737
whistleblower	0.0497231
"durable goods"	0.0497209
"plastic surgery"	0.0496755
CFCs	0.0496713
tumor	0.049645
vasectomy	0.0495807
thalidomide	0.0492522
beverage	0.0491904
caffeine	0.0490779
marijuana	0.0490012
"civil rights"	0.0488093
"cardiovascular disease"	0.048789
syndrome	0.0486835
copier	0.0485251
"breach of contract"	0.0483742
"diesel engine"	0.048119
Avonex	0.0480937
clitoris	0.0480303
"growth hormone"	0.0478022
"gas turbine"	0.0477988
wafer	0.0476477
"chewing gum"	0.0475624
facelift	0.0475495
leukemia	0.0474938
"fishing gear"	0.0473925
"invasion of privacy"	0.0472979
"jet engine"	0.0472381
pagers	0.0471822
transfusion	0.0470966
"cellular phone"	0.0470908
"security clearance"	0.0469288
"tooth decay"	0.0469011
Bosman	0.0468137
firecracker	0.0467951
bodysuits	0.0467152
paternity	0.0467076
laser	0.0466998
"electronic device"	0.046595
defoliant	0.0465743
rollovers	0.0465459
"prescription drug"	0.0465397
androstenedione	0.0465174
Mehmet	0.0464651
handgun	0.0464135
fibroids	0.0463692
"trade secret"	0.0463266
nicotine	0.0463197
creatine	0.0462789
"lead poisoning"	0.0462054
olestra	0.0461505
Clinton-Lewinsky	0.0461266
Parkinson's	0.0460727
Ritalin	0.0460542
"household product"	0.0459891
GHB	0.0459306
"soft drink"	0.0459078
"sports equipment"	0.0457376
lubricant	0.045715
"computer hardware"	0.0455698
"Paula Jones"	0.0453555
Herceptin	0.0452914
angioplasty	0.0451861
radiation	0.0451014
"alcohol abuse"	0.0450152
IDD	0.0448442
apparel	0.0447574
trachoma	0.0447206
"insider trading"	0.0446295
"Beanie Babies"	0.0445088
melanoma	0.0444877
"vending machine"	0.0444014
ordination	0.0443541
mifepristone	0.0442628
heartburn	0.0442513
"catalytic converter"	0.0442164
angina	0.0441591
"capital punishment"	0.0441487
ketamine	0.0441469
placebo	0.0441418
snuff	0.0441108
insecticide	0.0441015
"heart disease"	0.0440837
))
(breaststroke (desc 12706.3) (sims
backstroke	0.556206
freestyle	0.472435
medley	0.435456
butterfly	0.319826
relay	0.294722
scull	0.192948
"pole vault"	0.191533
hurdle	0.188445
Heptathlon	0.187602
"long jump"	0.184614
steeplechase	0.181999
"high jump"	0.181398
"shot put"	0.180974
slalom	0.168638
"hammer throw"	0.16673
men's	0.163623
im	0.156412
Super-G	0.154247
decathlon	0.150268
springboard	0.149029
preliminary	0.140884
javelin	0.135821
"world record"	0.128226
epee	0.127511
sprint	0.126507
marathon	0.125143
"clean and jerk"	0.118666
"ski jumping"	0.117466
"swimming event"	0.116779
"horizontal bar"	0.112074
downhill	0.111993
"Asian Games"	0.107968
"Pan Ams"	0.107946
weightlifting	0.107495
"London Marathon"	0.106748
"European Cup"	0.10591
"Atlanta Olympics"	0.104714
skeet	0.10304
"field hockey"	0.101922
"pommel horse"	0.0999552
snatch	0.0997088
final	0.0976212
"South Regional"	0.0969551
triathlon	0.0963223
biathlon	0.0962836
medal	0.0959245
volleyball	0.0954743
semifinal	0.0953388
"Australian Open"	0.0949197
relays	0.09356
dash	0.0917214
pistol	0.0914543
"Uber Cup"	0.0906425
Skating	0.0905758
"Louis Vuitton Cup"	0.0905342
"European Champions Cup"	0.0901038
"Japan Open"	0.0899266
swimming	0.0898874
"World Championships"	0.0896533
diving	0.0895724
"parallel bars"	0.0891631
Gymnastics	0.0886858
"US Open"	0.0884667
"European Championship"	0.0878295
"Volleyball Grand Prix"	0.0875317
dressage	0.087073
"Fed Cup"	0.0870288
judo	0.0867644
"West Regional"	0.0866525
bronze	0.0863624
"New York City Marathon"	0.0850299
"SEA Games"	0.0850059
"Asian Cup"	0.0847182
"table tennis"	0.084602
"European Championships"	0.0844417
"Commonwealth Games"	0.0843597
championship	0.0840926
"French Open"	0.0839719
"cross country"	0.0839521
"F.A Cup"	0.0833798
badminton	0.083217
"Thomas Cup"	0.0830041
"Grand Prix"	0.082807
"Italian Open"	0.082201
"World Junior Championships"	0.0820819
"Pan Am Games"	0.0811987
"Arkansas Derby"	0.0809992
"Swiss Open"	0.0803698
archery	0.0803427
discus	0.0802397
three-meter	0.0799099
medallist	0.0798281
"double gold"	0.0794063
"figure skating"	0.0791523
"Goodwill Games"	0.0790659
"National Invitation Tournament"	0.0786725
"League Cup"	0.0783612
"World University Games"	0.0782088
"U.S. Open"	0.0773835
"three-day event"	0.077262
"Canadian Open"	0.0770018
doubles	0.0769245
tourney	0.0768525
"relay race"	0.0765474
"U.S. Amateur"	0.0759536
pentathlon	0.0757021
"Stockholm Open"	0.0756405
"Gold Cup"	0.0755826
"track event"	0.0754001
"Kremlin Cup"	0.0752505
"Hopman Cup"	0.0751357
"World Cup"	0.0748605
"Olympic Games"	0.0747998
"East Regional"	0.074764
"AFC East"	0.0745309
"track and field"	0.0742782
"Hong Kong Open"	0.0740694
medalist	0.0739824
"World Championship"	0.0738754
"Western Conference"	0.0733695
"Champions Cup"	0.0733252
"Atlanta Olympic Games"	0.0729031
"Daytona @@@"	0.0728385
Universiade	0.0727622
"ski jump"	0.0726627
flyweight	0.0725278
"AL Central"	0.0724533
"Eastern Conference"	0.0722938
Lillehammer	0.0722268
"round robin"	0.0716525
"Dubai World Cup"	0.0712779
"Atlanta Olympic"	0.0711149
"Sudirman Cup"	0.0708117
"SEC East"	0.0706479
gold	0.0703857
"Grand Slam Cup"	0.0696857
"Boston Marathon"	0.0694553
"Pan American Games"	0.0693968
prelim	0.0692315
silver	0.0691844
"Little League World Series"	0.0687478
"Top Fuel"	0.0686269
"water polo"	0.0686216
"African Nations Cup"	0.0684094
rowing	0.0684053
"Big Sky Conference"	0.0682551
"NL Central"	0.0680405
"NFC East"	0.0678752
"Kieren Perkins"	0.0674034
Heyns	0.0672728
"Midwest Regional"	0.067083
"Hamlet Cup"	0.0670333
"World Basketball Championship"	0.0669958
"Davis Cup"	0.0667516
clocking	0.066396
"Eastern Division"	0.0658545
cycling	0.0658439
"Champions League"	0.0657811
"Euro @@@@"	0.0656032
skiing	0.0655797
"Copa America"	0.0653373
"Barcelona Olympics"	0.064676
"Barcelona Games"	0.0643107
"NFC Central"	0.0640877
"Maurice Greene"	0.0637665
"ATP Championship"	0.0636295
"ice hockey"	0.0635695
"Kentucky Derby"	0.0635693
"Maurier Open"	0.0632953
"ATP Tour World Championship"	0.0632112
qualifier	0.0630995
"FA Cup"	0.0628617
Maurier	0.0627063
"Pan Pacific"	0.0624618
"Denis Pankratov"	0.0621761
"British Open"	0.062104
ATP	0.0618944
"Samantha Riley"	0.06179
"UEFA Cup"	0.0616327
finisher	0.0614669
"Western Open"	0.061463
swimmer	0.0613645
rifle	0.0611393
"grand slam"	0.0611287
"Tour de France"	0.0610491
"Jenny Thompson"	0.0609949
"NL West"	0.0607905
"ATP Tour"	0.0607823
hardcourt	0.0607053
"Central Division"	0.0605678
vault	0.0604786
"U.S. Senior Open"	0.0603593
"Cup Juvenile"	0.0602253
bantamweight	0.0602238
Paralympics	0.0598503
quarterfinal	0.0596719
"Federation Cup"	0.059524
"Santa Anita Derby"	0.0595111
"Donovan Bailey"	0.0592599
"Le Jingyi"	0.059175
))
(breath (desc 37181.7) (sims
blood	0.0577551
sigh	0.0572528
laugh	0.0525029
oxygen	0.0524457
voice	0.0519138
gasp	0.0490887
taste	0.048081
whiff	0.0475286
smell	0.0475167
thought	0.0469828
muscle	0.0463813
hair	0.0463517
smile	0.0463496
urine	0.0463152
energy	0.0461235
chill	0.0447686
nerve	0.0443961
"blood pressure"	0.0443349
fun	0.0442481
emotion	0.044197
pain	0.043991
heart	0.0439247
smoke	0.0436825
breeze	0.0436236
nose	0.0434601
ball	0.0434202
heartbeat	0.0432928
breathing	0.0430627
headache	0.0425438
soul	0.0423771
pleasure	0.0422183
breather	0.0422089
bit	0.0418495
patience	0.0414649
fluid	0.0411473
fume	0.0411419
finger	0.0408465
miracle	0.0406487
))
(breather (desc 4225.92) (sims
"breathing room"	0.111472
respite	0.110306
"elbow room"	0.0839597
"breathing space"	0.0817672
lull	0.0743306
smooch	0.0716029
"curtain call"	0.070016
"leave of absence"	0.0661421
NAP	0.0658871
"time off"	0.0655399
"day off"	0.0630541
"day of rest"	0.0626504
hiatus	0.0620352
hiccup	0.0614609
"rest day"	0.0607476
"cold shoulder"	0.0607324
reprieve	0.0606369
levity	0.0606175
letdown	0.0600777
"goose bumps"	0.0599743
sabbatical	0.0597412
"test drive"	0.0586302
Leeway	0.0583733
colloquy	0.0581465
"refresher course"	0.0578181
anticlimax	0.0560026
whipping	0.0557379
"all clear"	0.0553728
flack	0.0552296
ribbing	0.0541292
hyper	0.0539621
spanking	0.0533019
"history lesson"	0.0524709
Luddite	0.0523006
"bill of health"	0.0502164
reassurance	0.0501879
facelift	0.0497059
"extra time"	0.0489556
"clean slate"	0.0488384
"birthday card"	0.04879
antsy	0.0486499
fillip	0.0485859
"bus ticket"	0.0481604
expedient	0.0480402
"shelf life"	0.0479831
tranquilizer	0.0478473
interlude	0.0476237
ovation	0.0474897
timeout	0.0474224
reverberation	0.0473992
overstatement	0.0472238
transfusion	0.0471205
recuperation	0.0469464
"hunting season"	0.0469383
furlough	0.0468457
"screen pass"	0.0468408
wink	0.0467078
snooze	0.0466961
tyke	0.0466958
"saber rattling"	0.0466624
"standing ovation"	0.0464697
"break of serve"	0.0463991
"black eye"	0.0463198
misnomer	0.0460185
"speeding ticket"	0.0458093
nonevent	0.0456195
"face lift"	0.0454721
glimmer	0.0453888
"piano lesson"	0.045239
"Christmas present"	0.0452032
overcoat	0.0451866
"waiting game"	0.0450764
detour	0.0447602
sedative	0.0447279
Mulligan	0.044685
goosebumps	0.0444177
sedation	0.0442571
diversion	0.0439863
fright	0.0439668
time-out	0.0436083
"blank check"	0.0433832
soaking	0.0430373
"hanky panky"	0.043018
earful	0.0426026
YAWN	0.0424802
demotion	0.0423631
twitching	0.042041
blip	0.0419942
vagabond	0.0419695
"positive feedback"	0.0415196
faceoffs	0.0413177
jaunt	0.0412972
solace	0.0412221
dictation	0.041213
prodding	0.0409641
SIESTA	0.0409115
consolation	0.0408911
"stay of execution"	0.0408802
"Dallas Burn"	0.0405619
profit-taking	0.0404895
painkiller	0.0404863
comeuppance	0.0404422
toehold	0.040355
infusion	0.0402327
"coat of paint"	0.0402046
hangover	0.0400259
))
(breathing (desc 13176.9) (sims
respiration	0.13722
shortness	0.128618
"blood pressure"	0.121922
"heart rate"	0.104754
dizziness	0.0936527
heartbeat	0.0857027
cough	0.0826184
"memory loss"	0.0769441
nausea	0.0768532
sweating	0.0765976
coughing	0.0751001
palpitation	0.0742816
"high blood pressure"	0.0741006
insomnia	0.0739582
vomiting	0.0735409
numbness	0.0722237
"sore throat"	0.0714906
metabolism	0.0692117
"chest pain"	0.068712
ache	0.0677917
constipation	0.0666942
watering	0.0661635
"blood sugar"	0.0654455
"brain wave"	0.0650349
diarrhea	0.0634798
cramp	0.0629104
schoolwork	0.062874
stomachache	0.0597851
"body weight"	0.0595651
eating	0.059015
walking	0.0588261
headache	0.0588016
dehydration	0.0584066
fatigue	0.0583314
"skin rash"	0.0576935
"body temperature"	0.0571167
Qigong	0.0564566
healing	0.0557301
drowsiness	0.0550235
pulse	0.0543509
stiffness	0.0540275
digestion	0.0538741
disorientation	0.0537046
fever	0.0528834
swelling	0.0528123
lung	0.0527544
asthma	0.0524688
irritability	0.0522108
symptom	0.0520009
reflex	0.0510494
"facial expression"	0.0508411
figuring	0.050685
hypertension	0.050394
eyesight	0.0497392
yoga	0.0496137
mobility	0.0495961
clapping	0.0487916
"back pain"	0.048209
congestion	0.0481108
smoking	0.0480183
fibrillation	0.0477956
"teaching method"	0.0476922
tightness	0.0474455
drinking	0.0468749
irritation	0.0460292
"heart attack"	0.0459844
lethargy	0.0454691
learning	0.0454462
absorption	0.0448373
pneumonia	0.0446698
locating	0.0446584
discomfort	0.0444807
"asthma attack"	0.0443743
acupuncture	0.0443073
"reaction time"	0.0441002
diarrhoea	0.0440429
inflammation	0.0438865
disorder	0.0438539
bronchitis	0.0436912
soreness	0.0436175
sorting	0.04359
diabetes	0.0435311
angina	0.0433851
breath	0.0430627
Depression	0.042662
infection	0.0425617
noise	0.0422031
stamina	0.0418058
esophagus	0.0416052
remembering	0.0416014
hemorrhage	0.0415266
ulcer	0.0409641
tremor	0.0409394
gait	0.0408745
contraction	0.0407535
paralysis	0.0407054
feeding	0.0406768
rash	0.0404784
pregnancy	0.0404383
navigation	0.040271
posture	0.040249
"central nervous system"	0.0400128
))
("breathing room" (desc 2935.7) (sims
"elbow room"	0.282205
"breathing space"	0.223126
Leeway	0.150438
oomph	0.143486
fillip	0.115047
"free time"	0.112631
breather	0.111472
pizazz	0.106862
"time off"	0.104896
"day of rest"	0.103032
"peace of mind"	0.0959078
inkling	0.0935622
legroom	0.0926783
traction	0.0923924
headroom	0.0902322
corroboration	0.0897782
credence	0.0884744
spunk	0.087907
leverage	0.0855821
"inside information"	0.0842242
"goose bumps"	0.0839649
"extra time"	0.0836453
hand-holding	0.0835208
levity	0.0822685
"break of serve"	0.0822627
cushion	0.0821266
flexibility	0.0817087
cushioning	0.0817041
heft	0.0815198
smoother	0.080295
"free rein"	0.0795204
pep	0.0793474
reassurance	0.0781235
solace	0.0779655
wherewithal	0.0771094
"hanky panky"	0.0769142
firepower	0.0764253
antsy	0.0760763
ribbing	0.0756731
gumption	0.0752458
slack	0.0746185
"all clear"	0.0746067
resonance	0.0744713
"blank check"	0.0741867
latitude	0.0740745
downtime	0.0733138
"detective work"	0.0730382
"face lift"	0.0729102
catharsis	0.0723436
motivation	0.072215
liquidity	0.0722073
trepidation	0.0721142
headway	0.072051
airtime	0.0715983
flak	0.0714535
"positive feedback"	0.0710335
acidity	0.0704566
"natural ability"	0.0703245
"storage space"	0.0698571
"speeding ticket"	0.0698282
overlap	0.069819
guesswork	0.0695187
letdown	0.0694244
suspense	0.0680395
clout	0.0680286
"background noise"	0.0679509
horsepower	0.0677237
airplay	0.0675027
"carte blanche"	0.0673086
"day off"	0.0673028
ballgames	0.0672783
yardage	0.0672028
homework	0.0669968
respite	0.0666423
"tax benefit"	0.0665706
"clean slate"	0.0664975
impetus	0.0663103
respectability	0.0661755
things	0.0658613
"Christmas present"	0.0658349
composure	0.0657242
foothold	0.0655275
Zing	0.0653508
adversity	0.0652955
"economies of scale"	0.0651579
moisture	0.0646291
feedback	0.0644268
razzle-dazzle	0.0640253
"leisure time"	0.0637856
"foot traffic"	0.0637306
Panache	0.0631708
empathy	0.0630437
"unfinished business"	0.0628546
hesitancy	0.0627924
luster	0.0627238
encouragement	0.0623514
nourishment	0.0623199
"short shrift"	0.0617879
transfusion	0.0617801
caffeine	0.0617429
"rest day"	0.0614449
"spare time"	0.0611615
"staying power"	0.0610072
rep	0.060573
urgency	0.0604996
synergy	0.0604307
"birthday present"	0.0602236
upside	0.0601238
"competitive advantage"	0.0600497
celluloid	0.0597604
"extracurricular activity"	0.0597321
dispensation	0.0596093
cockiness	0.0592276
"close call"	0.0586462
certainty	0.0585177
"power of attorney"	0.0581805
consolation	0.0581607
IOU	0.0581135
"unearned run"	0.0580514
self-respect	0.0579207
bigger	0.0574161
up-and-down	0.0571494
"loose end"	0.0571128
cachet	0.057109
quickness	0.0569196
sendoff	0.0568946
"three sacks"	0.0568629
baserunners	0.0565151
stimulus	0.0565128
hyper	0.0565109
diversification	0.0564413
tannin	0.0564378
hubris	0.0562434
self-discipline	0.0562402
toehold	0.0560819
torque	0.0560363
"bus ticket"	0.0559933
"bad blood"	0.0559371
versatility	0.0557186
ballast	0.055705
"water vapor"	0.0556833
chutzpah	0.0556046
humility	0.0554864
"bill of health"	0.0553831
misnomer	0.0551968
"emergency exit"	0.0551667
discretion	0.0551138
plurality	0.0550543
toughness	0.0548894
baggage	0.0547833
ventilation	0.0547625
continuity	0.0547063
"bad luck"	0.0546435
heartache	0.0545902
slippage	0.0544943
epiphany	0.0542363
goosebumps	0.0541435
goody	0.0540103
downfield	0.0539893
"big shot"	0.0538818
readout	0.0535984
"solid ground"	0.0530557
wink	0.0528412
"inferiority complex"	0.0527791
"pay raise"	0.0527567
"window dressing"	0.0526593
"sneak preview"	0.0526369
hiccup	0.0525747
"tax treatment"	0.05255
bandwidth	0.0524565
"ill will"	0.0524382
mileage	0.0523634
fuss	0.0522852
hyperbole	0.0522579
smooch	0.052171
"vitamin C"	0.0519335
grownup	0.0519294
bleep	0.0518768
flair	0.0518639
parity	0.0517193
trash-talking	0.0516579
sass	0.0516529
rust	0.0516392
"waiting game"	0.0516324
"great year"	0.0516119
prodding	0.0514545
facelift	0.0513857
"first and third"	0.051219
notoriety	0.0510717
fanfare	0.0510597
ammo	0.0510218
nervousness	0.051021
"work permit"	0.0510101
self-confidence	0.0509809
juggling	0.0509443
"set point"	0.0508943
"inside track"	0.0508847
hands-on	0.0507387
"fringe benefit"	0.0506288
"secret plan"	0.050613
))
("breathing space" (desc 1686.82) (sims
"breathing room"	0.223126
"elbow room"	0.159523
fillip	0.113585
"blank check"	0.110247
oomph	0.106958
"stay of execution"	0.1053
Leeway	0.0966875
"free rein"	0.0946035
"break of serve"	0.09161
"all clear"	0.0910872
"carte blanche"	0.0889537
wherewithal	0.0849451
"time off"	0.0836123
breather	0.0817672
"point of reference"	0.0811596
antsy	0.0805161
hand-holding	0.0799841
"competitive advantage"	0.0798682
"safety valve"	0.0792005
plurality	0.0786609
"goose bumps"	0.0784138
"line of products"	0.0779518
sendoff	0.0777839
"day of rest"	0.077705
"sneak preview"	0.0775327
"tax treatment"	0.0773147
inkling	0.0768638
"inside information"	0.0756459
"clean slate"	0.0746692
"positive feedback"	0.0739336
traction	0.0737558
corrective	0.0736649
"peace of mind"	0.0733441
corroboration	0.0731845
ballgames	0.072105
"one penny"	0.0717155
"frame of reference"	0.0716527
"rest day"	0.071395
nourishment	0.0713775
acidity	0.0711338
"face lift"	0.0705099
toehold	0.0696783
airtime	0.0695766
"solid ground"	0.0691473
roadmap	0.068963
credence	0.068737
"fringe benefit"	0.0682399
"logistic support"	0.0680892
heartening	0.0679792
downtime	0.0676498
"bill of health"	0.0672174
"speeding ticket"	0.0669577
"work permit"	0.0661631
reassurance	0.065482
cushioning	0.0653954
"fig leaf"	0.0648768
impetus	0.0644749
foothold	0.0640148
respectability	0.0638225
dispensation	0.0637912
"power of attorney"	0.0635773
"seal of approval"	0.0635467
respite	0.0635122
"cold shoulder"	0.063481
Goodrich	0.0633604
"Lesotho Congress"	0.0631412
guidepost	0.0628102
"free time"	0.0626688
send-off	0.0621482
belt-tightening	0.0620723
"history lesson"	0.0614178
"extra time"	0.0611668
catharsis	0.0610538
"safe harbor"	0.0607266
"set point"	0.0603324
spunk	0.0602708
goosebumps	0.060167
high-fives	0.0601436
facelift	0.0598697
succor	0.0597619
"one million US dollars"	0.0597037
"human face"	0.0596238
heft	0.0595752
headroom	0.0595228
firepower	0.0594305
"word of advice"	0.0593925
"inside track"	0.0591955
"golden parachute"	0.0591651
transfusion	0.0588896
flack	0.0587031
ammo	0.0586962
earplugs	0.0583533
pep	0.0583167
gumption	0.0580689
"one million dollars"	0.0577773
"fresh start"	0.0575607
customization	0.0575551
enrollee	0.0575477
"sense of direction"	0.0573148
"tax benefit"	0.0571402
"three million yuan"	0.0571367
"Marshall Plan"	0.05706
stopgap	0.0567336
Bhattarai	0.0564261
"storage space"	0.0562058
"background noise"	0.0557583
"working capital"	0.0556256
"smoke screen"	0.0555808
"economies of scale"	0.0554767
ballast	0.0553333
stimulus	0.0552447
smooch	0.0552211
self-respect	0.0551795
"birthday present"	0.0550543
"good weather"	0.054884
"second thought"	0.0548782
"piece of land"	0.0548643
BUSINESSES	0.0548237
"fishing license"	0.0547966
latitude	0.0547961
"tax deduction"	0.0547362
earful	0.0546875
"tax reduction"	0.0546636
self-confidence	0.0546447
grating	0.0544144
IOU	0.0543757
glimmer	0.0540302
"great deal"	0.0537238
"name and address"	0.0536098
"skilled worker"	0.0535624
wattage	0.0535048
lifeboat	0.0533581
enticement	0.0531102
"hypodermic needle"	0.0526191
"right to vote"	0.0526104
INEC	0.052569
"equal opportunity"	0.052392
"face saving"	0.0523593
"National Grid"	0.0522835
smokescreen	0.0516868
readout	0.0516192
torque	0.0515178
"leisure time"	0.0513763
airplay	0.0513201
Lowdown	0.0512934
"million dollars"	0.051281
"day off"	0.0512771
timeframe	0.0511136
"Cendant Corp."	0.0510945
diversification	0.0510612
bigger	0.0510519
"spare time"	0.0510117
clear-cutting	0.0509035
"first aid"	0.0507874
suction	0.0507804
"proxy fight"	0.05068
coursework	0.0506691
self-rule	0.0505544
grist	0.050549
"road map"	0.0501241
composure	0.0499525
birdbath	0.0498185
"tax advantage"	0.0497489
amplification	0.0497212
Gilead	0.0496445
UNMOVIC	0.0495456
gravitas	0.0495271
"amount of time"	0.0495233
Danka	0.0494732
HKMA	0.0490483
"Pacific Century"	0.0490461
"Christmas present"	0.049032
"legal status"	0.0489329
reprieve	0.0488821
follow-through	0.0488445
baserunners	0.0488112
feedback	0.0487166
"short shrift"	0.048388
go-ahead	0.0483699
spacing	0.0482913
evidences	0.0482615
foretaste	0.0482605
"black eye"	0.0482586
enumerators	0.0480587
"Palestinian Central Council"	0.0480458
feeler	0.0480283
"absolute majority"	0.04793
hesitancy	0.0479244
"hospital care"	0.0478749
"tax incentive"	0.0477839
spanking	0.0477809
"one million yuan"	0.0477653
legroom	0.0476884
"natural ability"	0.0476466
"mailing address"	0.0475722
"base runner"	0.0475105
eye-opening	0.0474342
"secret plan"	0.047383
"Axel Schulz"	0.0473106
flak	0.0472535
))
(Breaux (desc 3368.42) (sims
Wellstone	0.165719
"John Breaux"	0.151337
Biden	0.143917
Lautenberg	0.142449
Hollings	0.142298
Wyden	0.141139
D-La.	0.139979
Daschle	0.134511
Kerrey	0.131035
Difrancesco	0.130711
Feingold	0.121216
Leahy	0.121213
Domenici	0.117088
Robb	0.115235
Moynihan	0.115122
Bayh	0.115039
Kerry	0.112528
Dodd	0.110962
Jeffords	0.110593
Baucus	0.10904
Cleland	0.107753
Santorum	0.104546
Snowe	0.101977
Levitt	0.099545
Waigel	0.0993014
Torricelli	0.0992779
R-Neb	0.0966077
Nickles	0.0965012
Siegelman	0.0962531
McCollum	0.0955783
Gramm	0.0951973
Shaheen	0.0939819
Harkin	0.0904486
Levin	0.0887799
Maslyukov	0.0885014
Scalia	0.0880979
Archer	0.0878789
Dingell	0.0871088
Schrempp	0.0870849
Tauzin	0.0861278
McConnell	0.0853234
Souter	0.0853185
Icahn	0.0852709
Lott	0.0850636
Roth	0.0845686
Armey	0.0843842
Shays	0.0840047
Traficant	0.0839666
Doggett	0.0835811
Kennard	0.0833106
Rangel	0.0830331
Pelosi	0.0828694
Groscost	0.0826211
Feinstein	0.0818398
Murkowski	0.081756
Eisenman	0.081684
D'Alema	0.0811991
Kyl	0.0807443
Dorgan	0.0805907
Galvin	0.0798649
Rossello	0.0797515
Hyde	0.0785019
Gephardt	0.0784626
Inhofe	0.0781833
Leavitt	0.0780187
"Warren Rudman"	0.0778927
Brownback	0.0772635
Ferrer	0.0772567
BNFL	0.0771552
Riordan	0.0769123
Shays-Meehan	0.0763529
Coverdell	0.0759604
Gorton	0.0758835
"Congressional Democrats"	0.0757339
Schumer	0.075469
Krajisnik	0.0746033
Markey	0.074104
Roski	0.0738588
Locke	0.0738307
"Mary Landrieu"	0.0736737
Norwood	0.0736632
"Paul Tsongas"	0.0736185
"Judd Gregg"	0.0736061
Bruno	0.0734935
Thurmond	0.0733397
"Daniel Patrick Moynihan"	0.0733214
Mauro	0.0720716
Menino	0.0718766
Patten	0.0718522
"Carl Levin"	0.0717394
Zarb	0.0713534
"David Dreier"	0.071151
Shelby	0.0708957
Goss	0.0706987
Grassley	0.070577
"Tom Campbell"	0.0704995
Ecevit	0.0704574
"Pedro Rossello"	0.0704473
"Tom Harkin"	0.0696203
Engler	0.0693542
Poplasen	0.0692857
"Gray Davis"	0.0688159
Hagel	0.0684336
"Health and Welfare Ministry"	0.0681539
Nebiolo	0.0679381
"Senate Republican"	0.0679251
Corzine	0.0679152
Hybl	0.0677745
"Robert Byrd"	0.0674155
"Roy Barnes"	0.0671714
"Pat Roberts"	0.0670833
"Dick Gephardt"	0.0669706
Hastert	0.0669673
"Robert C. Byrd"	0.0668922
Kolbe	0.0668144
Glickman	0.0667563
"Clinton Administration"	0.0664272
"Christopher Cox"	0.0663227
Romer	0.0661459
Gregg	0.0661176
Zedillo	0.0659686
McAuliffe	0.0657256
Helms	0.0654972
Ciampi	0.064624
Chadwick	0.0645289
"Pete Domenici"	0.064363
"John Kerry"	0.0641434
"Dianne Feinstein"	0.0639373
Kerasiotes	0.0637476
Spitzer	0.0635238
Nadler	0.0631062
"John G. Rowland"	0.0630477
Rowland	0.0630307
McCaffrey	0.0629878
Fischer	0.0629748
"Mitch McConnell"	0.0627737
Byrd	0.0627453
Ovitz	0.0626215
Ishihara	0.0625312
frist	0.0624853
"Gary Locke"	0.0623861
Hutchinson	0.0623702
Chafee	0.0622608
"Bill Thomas"	0.0620583
Hodges	0.062027
Zadornov	0.0618731
Zhirinovsky	0.0618447
Ashcroft	0.061842
Kasich	0.0612826
Flanagan	0.0611012
Arens	0.0605966
Koskinen	0.0604678
Pataki	0.06016
Vallone	0.0600108
Gilmore	0.0597744
Beilin	0.0597679
Gosper	0.0596721
"EU Commission"	0.0596462
Cem	0.0595089
McCaw	0.0592704
Indyk	0.0592202
Bliley	0.0590677
"Mike Leavitt"	0.0589416
"James Rogan"	0.0589214
Sakakibara	0.0588668
Eizenstat	0.0588526
Blatter	0.0588221
Meehan	0.0587195
"Vladimir Zhirinovsky"	0.0586461
Luzhkov	0.0584839
Feldman	0.0584203
Caddell	0.0583892
Mordechai	0.0583342
Orban	0.0583308
Lemieux	0.0582619
Ibarra	0.0581642
Bernabe	0.0580204
Yastrzhembsky	0.0579071
Bartholomew	0.0576431
Jacobson	0.0576077
Lieberman	0.0575887
Denktash	0.0575277
Bauer	0.0573711
Barbour	0.0569198
"Bank of Scotland"	0.05684
Cuomo	0.0568326
"Dick Durbin"	0.056632
Nethercutt	0.0565985
"Bob Kerrey"	0.0565958
Beazley	0.0564631
Garcetti	0.0564217
Dewine	0.0563515
"Charles Rangel"	0.0562688
"Ted Stevens"	0.0560797
Largent	0.0558303
Kenyon	0.0557692
Bouteflika	0.0557181
Menem	0.0557125
Bowen	0.0555953
Hayden	0.0555641
))
(Brecht (desc 2681.12) (sims
Ibsen	0.186945
Chekhov	0.150314
Moliere	0.11202
Yeats	0.100173
Beckett	0.0959682
"Noel Coward"	0.0934532
Racine	0.091008
Schiller	0.0871952
Kafka	0.0865214
Cao	0.08358
Dostoyevsky	0.0789346
Durwood	0.0759177
Steinbeck	0.0753366
"Charles Dickens"	0.0747553
MAMET	0.0746437
Wilde	0.0740899
"Duke Ellington"	0.0717187
"David Hare"	0.071019
"Arthur Miller"	0.068701
"Sam Shepard"	0.0686562
MACHIAVELLI	0.0678639
McPherson	0.0671717
Tolstoy	0.0648964
"Edward Albee"	0.0628215
Zapruder	0.0616587
"Vladimir Nabokov"	0.0614375
Vogel	0.0613214
Goethe	0.0612122
Hahn	0.0597844
Myhrvold	0.0578529
Ruehe	0.0578117
Sartre	0.0577295
Harbison	0.0574695
Joyce	0.0570875
Hemingway	0.0570076
DIMON	0.0567432
Wilhelm	0.0563881
"George Gershwin"	0.0559304
Borges	0.0541998
Castaneda	0.0538583
Ellington	0.0537084
"Neil Simon"	0.0536879
Messiaen	0.0536074
"Statue of Liberty"	0.0535884
McNally	0.0535232
"Tom Stoppard"	0.0521747
Weiner	0.0521659
"Samuel Beckett"	0.052146
"Oscar Wilde"	0.0518428
Nabokov	0.0515379
"Tennessee Williams"	0.0511957
Mitterrand	0.05067
Schaeffer	0.0501194
Rabe	0.0500627
Garvey	0.0498344
Schoenberg	0.0496357
Lennon	0.0493802
Proust	0.0490026
Griffith	0.0489748
"De Klerk"	0.0488953
Chappell	0.0487167
Adler	0.0485493
Collymore	0.0477865
Pushkin	0.0477025
Balzac	0.0476064
hare	0.0474932
"William Shakespeare"	0.0473328
Ginsberg	0.0470275
Vaughan	0.0465984
Guthrie	0.0465323
"David E. Kelley"	0.0464856
Hoch	0.0463587
Lurie	0.0461098
"David Mamet"	0.0461093
Edelman	0.0458286
Wilder	0.0457269
Hendrix	0.0457073
Dante	0.045702
Baum	0.045675
Gershwin	0.0456504
"Terrence McNally"	0.0454887
Bach	0.0454387
Marley	0.0454304
"Aaron Sorkin"	0.0453975
Puccini	0.0453073
Leghari	0.0452116
coward	0.0451551
Greenwald	0.0450427
Daigle	0.0448265
Wagner	0.0447911
Salinger	0.0441201
Mucha	0.0437691
Nkomo	0.0437424
"fox hunting"	0.0436911
"George Bernard Shaw"	0.0436549
Morse	0.0435997
Schneider	0.0435177
Spoleto	0.0434104
"Robert Frost"	0.0432702
Thoreau	0.043116
Mahler	0.0431073
Mao	0.0430627
Shaffer	0.0429078
Handel	0.0427357
Szabo	0.0426435
"Jimi Hendrix"	0.0426128
Gluck	0.0423859
Strauss	0.041926
"Lillian Hellman"	0.0418861
DERSHOWITZ	0.0418738
Dickens	0.0418183
Dorsey	0.041817
Trudeau	0.0417732
Arum	0.0417189
Mozart	0.0414193
Melville	0.041387
Bellini	0.0411787
Freud	0.0410192
Gores	0.0409663
Presley	0.0408862
"Jimmy Stewart"	0.040858
off-Broadway	0.0407954
bebop	0.0407489
Camelot	0.0407466
McLaughlin	0.0406745
Dylan	0.0405703
"Andy Griffith"	0.0403797
Newhouse	0.0403668
Edson	0.0403549
Sargent	0.0402771
Rawlings	0.0401854
"Alice Walker"	0.0400645
))
(Breckenridge (desc 1858.93) (sims
Vail	0.182828
Aspen	0.172993
Telluride	0.165536
Hakuba	0.143036
"Grand Junction"	0.133559
"Park City"	0.131326
"Fort Collins"	0.122448
Sestriere	0.119219
Englewood	0.111172
Chamonix	0.107862
Kitzbuehel	0.0958262
Maribor	0.0943305
"Deer Valley"	0.0929245
Bormio	0.0898393
Durango	0.0869632
LAKEWOOD	0.0800424
"Asian Winter Games"	0.0765164
Cortez	0.0732062
Taba	0.0711038
"Nagano Olympics"	0.0707329
Engelberg	0.0704878
Sochi	0.0702245
Killington	0.0699128
"Colorado Springs"	0.0676316
Zakopane	0.0647084
Trondheim	0.06412
Lahti	0.0636288
Whistler	0.061729
"Sierra Nevada"	0.0592963
"East Asian Games"	0.0587403
Cavalese	0.0576524
BRIGHTON	0.0575169
Linz	0.0570764
Stratton	0.0566858
Pueblo	0.0561676
Pattaya	0.0556131
Falun	0.0540781
cornice	0.0536212
Lucerne	0.0528197
Herndon	0.0528079
"Sun Valley"	0.0514478
Dubrovnik	0.0514254
Ensenada	0.0512112
"World Figure Skating Championships"	0.0502166
Larnaca	0.0500435
"Olympic Winter Games"	0.0497859
"World Cup Finals"	0.0496281
Kizlyar	0.0496183
"World University Games"	0.0495091
Hempstead	0.0489961
Gelsenkirchen	0.0488013
Wildwood	0.0486249
el-Sheikh	0.0485679
Holyoke	0.0480674
Feerick	0.048016
"Southeast Asian Games"	0.0469122
Blackpool	0.0465641
"San Sebastian"	0.0462091
"World Table Tennis Championships"	0.0454981
Kalemie	0.0448767
Banff	0.0447922
Moshi	0.0444985
Srbica	0.0439052
Suzuka	0.0438783
Dillon	0.04375
Kismaio	0.0432242
Sapporo	0.0429425
Westminster	0.042639
Plata	0.0425964
Lhokseumawe	0.0424707
Antalya	0.0424267
"Lake Louise"	0.0422599
Bloomfield	0.0422569
Lillehammer	0.0421992
Lugano	0.0420633
Sihanoukville	0.0418792
"Victoria Falls"	0.041852
este	0.0416982
Davos	0.0415153
Baer	0.0413885
"Italian Alps"	0.0412178
Innsbruck	0.0409703
Beersheba	0.0408132
Heerenveen	0.0407865
Palma	0.0407102
Mbarara	0.0404928
Mankulam	0.0401232
"European Court of Justice"	0.0400971
))
("Breda Kolff" (desc 1313.16) (sims
"June Jones"	0.187985
Ribbeck	0.115402
Popovich	0.115103
Passarella	0.1149
Penders	0.112989
Birnbaum	0.110188
Zambrano	0.107418
Monson	0.105059
Schottenheimer	0.102379
Lehane	0.101301
Kavan	0.10059
Troussier	0.100105
Jauron	0.0997336
Hiddink	0.0983776
Gangelhoff	0.0969349
Vogts	0.0968392
Sherrill	0.0964929
Aliotti	0.0964824
Karlsson	0.0952051
Guthridge	0.0951831
Olsen	0.0941246
Ponciano	0.0939143
Tuberville	0.0936885
Sithole	0.0935789
Milbury	0.0929808
Jacquet	0.0924055
Heinrichs	0.0917793
Marineau	0.0903917
Oliveira	0.0902749
Bosman	0.0898107
Alford	0.0896477
Wilkens	0.0884851
Calipari	0.0879067
Hendrickson	0.0874342
Bubb	0.0869852
Romar	0.0869476
Schoenfeld	0.0869273
Jarvis	0.0867188
Ftorek	0.0855571
Harrick	0.0855167
Scruggs	0.085173
hodgson	0.0849922
Okada	0.0848602
Milutinovic	0.0845822
Donnan	0.0844531
Solich	0.0832532
Schmid	0.0825645
Gullit	0.0825105
Martz	0.081893
Schaffer	0.0817939
Svorada	0.0816604
Neilson	0.0814074
Whitsitt	0.0811758
Dungy	0.081071
Talebi	0.0808581
Stoneman	0.0806342
Hlavac	0.0804951
Shula	0.0795317
Weiner	0.0795292
Atwater	0.0789043
Camacho	0.0786146
Summitt	0.0782549
Layden	0.0777937
Lambright	0.0773016
Haines	0.0771215
Braswell	0.0771116
DiCicco	0.0762443
Patel	0.0760596
Sununu	0.0752537
Fleischer	0.0749883
Hartsburg	0.0745525
Moakley	0.0744001
Finkel	0.0737254
bon	0.0733563
Rossotti	0.073219
Rongen	0.0729567
Hauser	0.0725285
"Dave Campo"	0.0723996
Franchione	0.0723907
"Rich Brooks"	0.0722283
Wannstedt	0.0719878
Ainge	0.0719711
Campo	0.071881
Cooley	0.071681
Robson	0.0715245
Zenga	0.0714553
Wenger	0.0712634
Rahal	0.0712222
Muckler	0.0712177
Clemente	0.070979
Dunham	0.0709616
Mandella	0.070723
Inman	0.0706659
silber	0.0705059
Hargrove	0.0702001
Paxon	0.0700133
Leyland	0.0699707
Kerouac	0.0698248
Geiger	0.0697073
Maldini	0.0695675
Scioscia	0.0693892
Bibby	0.069359
Boles	0.0693037
Triplett	0.0692347
Hartley	0.069211
Atler	0.0691712
watt	0.0689892
Khai	0.0688971
Zelezny	0.0687638
Mendez	0.0686839
Holtz	0.0684892
Skiles	0.0684124
Granik	0.0684093
Singson	0.06836
Keenan	0.0683275
Cowher	0.0683135
Menard	0.0681601
Lipponen	0.0681333
"Ernie Zampese"	0.0680921
Tomjanovich	0.0680526
beamer	0.0679883
Solis	0.0677219
Ganassi	0.0676932
Seifert	0.0674227
Cremins	0.0674196
Sampson	0.0672726
gilder	0.0671716
Siazon	0.0667095
Zadornov	0.0666022
Samuelson	0.0665989
Rosen	0.0665606
Piot	0.0664682
Spurrier	0.0664198
Parrish	0.0662591
"basketball coach"	0.0661973
Broek	0.0661952
DuBose	0.0660988
Contreras	0.0659418
Hoddle	0.0659237
Fassel	0.0657136
Shaffer	0.0656941
Sheehan	0.0655672
Kumar	0.0655299
Bowden	0.0654951
"Georgia Southern"	0.0653567
Blazevic	0.065108
Fulmer	0.065078
Rodionov	0.0649981
Beckwith	0.0649856
"Mike Hargrove"	0.0647831
Coffey	0.0647326
Tubbs	0.0647055
Boyd	0.0646717
Baerga	0.0646201
Byrdsong	0.0646169
Chao	0.0646113
Mora	0.0645426
Barad	0.064476
Sykes	0.0644671
Sato	0.0643787
Slocum	0.064167
Coelho	0.0641427
Calvary	0.0640772
Alarcon	0.0640713
Gailey	0.0640315
Drexler	0.0637782
Velayati	0.0637455
Prewitt	0.0636008
Ruggiero	0.063542
Echols	0.0634907
Molinari	0.0634571
Bavasi	0.0634482
Gullikson	0.0632347
Insulza	0.0632028
Sassa	0.0631451
Malan	0.0630975
Ruehe	0.0630453
gentry	0.0629238
Gavin	0.0628804
Sutter	0.0628077
Sapp	0.0627027
Rosenblatt	0.0625204
Bochy	0.0622422
Calhoun	0.0622241
Rubenstein	0.0621159
Barrie	0.0620069
Billick	0.0619932
Hansen	0.0618164
Cowens	0.0617302
frist	0.0617253
Erickson	0.0616788
Schlichtmann	0.0616196
Cowan	0.0615463
Sherman	0.0612861
McGinnis	0.0612567
Wasserman	0.0612459
"Mike Miller"	0.0611754
ISSEL	0.061149
Polian	0.0611171
Dunleavy	0.0610008
))
(breed (desc 29290.6) (sims
specie	0.0921108
generation	0.0799386
type	0.0759604
variety	0.0720388
horde	0.0690126
breeding	0.0683199
legion	0.0679482
bunch	0.0665872
crop	0.0625292
handful	0.060113
strain	0.0595051
genre	0.057447
cadre	0.0573815
animal	0.0555363
clone	0.0553843
"art form"	0.0553343
hybrid	0.055159
herd	0.0550875
technique	0.0549568
subspecies	0.054687
coterie	0.0537415
dozen	0.0532902
brand	0.0527914
slew	0.0524083
ones	0.0523631
creature	0.0517794
offspring	0.0510996
"large number"	0.0505378
flock	0.0500285
quality	0.0499571
dog	0.0495929
"core group"	0.0495182
carcass	0.0494701
subset	0.0491945
bird	0.0483091
trait	0.0472798
thousand	0.0469738
hundred	0.0469219
"giant panda"	0.0468077
menagerie	0.0467503
"life form"	0.0459792
minority	0.0458599
cult	0.0452855
trio	0.0452622
ability	0.0451713
characteristic	0.0451258
mammal	0.0451153
behavior	0.0449074
band	0.0448607
Dinosaur	0.0444597
profession	0.0443662
scent	0.0442563
batch	0.0442083
organism	0.0439291
phenomenon	0.0438725
niche	0.0437205
pest	0.0437044
descendant	0.0436809
category	0.0436108
tradition	0.0434441
contingent	0.0434292
pig	0.0433526
concept	0.0432787
prototype	0.0431901
talent	0.0428255
newcomer	0.0424748
tribe	0.0424235
hobby	0.0423872
swarm	0.0423698
influx	0.0422815
personality	0.041968
taste	0.0417967
Gene	0.0416428
entity	0.0412192
buyer	0.0411827
gaggle	0.0411825
ingredient	0.0411319
centenarian	0.0411227
profile	0.0410924
dish	0.0409476
method	0.040927
cattle	0.0408173
pet	0.0405453
tale	0.0404818
"New Wave"	0.0404452
mentality	0.0404141
language	0.0402987
bevy	0.0402796
spirit	0.0401424
"software product"	0.0400967
horse	0.0400195
))
(breeder (desc 16234.2) (sims
grower	0.111585
herder	0.104909
"Cup Juvenile"	0.0940889
"Kentucky Derby"	0.0804063
raiser	0.0801761
"Santa Anita Derby"	0.078132
farmer	0.0775123
rancher	0.0750428
Derby	0.0696078
breeding	0.0685897
"race horse"	0.068416
trainer	0.0682114
"quarter horse"	0.0669879
"Pacific Classic"	0.0665019
"triple crown"	0.065892
developer	0.0646168
farm	0.0639154
poop	0.0638982
jockey	0.0629995
winemaker	0.0617805
trapper	0.0609287
importer	0.0607343
producer	0.0606562
rearing	0.0605794
carcass	0.0599401
merchant	0.0589657
racehorse	0.0587908
dealer	0.0580134
Preakness	0.057822
exporter	0.0576086
farming	0.0576048
"Gold Cup"	0.0575224
offal	0.0572583
Industrialist	0.0570351
educator	0.0565528
"New York City Marathon"	0.0561434
"Cup Classic"	0.0558326
picker	0.0555717
distributor	0.0554968
shipper	0.0552239
scientist	0.054807
collector	0.054747
biologist	0.0546537
horsemen	0.0546346
refiner	0.0545754
nutritionist	0.054504
designer	0.0544581
oilman	0.0544149
folklorist	0.0541574
businessmen	0.054058
sportsmen	0.0539568
cattlemen	0.0538673
operator	0.0536985
herd	0.05345
trader	0.0534158
researcher	0.0533958
yearling	0.053367
supplier	0.0530855
homeowner	0.0530025
manufacturer	0.0529434
"Arkansas Derby"	0.0526123
Hunter	0.0524077
Belmont	0.0522178
Travers	0.0522113
landowner	0.0521032
handler	0.0520929
Lukas	0.0520763
"Bob Baffert"	0.0520027
restaurateur	0.0519839
"Belmont Stakes"	0.0518371
philanthropist	0.0517807
inventor	0.0515936
herdsman	0.051319
geneticist	0.051211
"real estate developer"	0.0508575
"real estate broker"	0.0506519
businesswomen	0.050571
gardener	0.050546
"Gold Gloves"	0.0505176
Fishermen	0.0504834
entrepreneur	0.0504742
filly	0.050324
"venture capitalist"	0.0501279
banker	0.0500214
"European Cup"	0.0500146
businessman	0.0499409
"Brickyard @@@"	0.0498872
physician	0.049778
grazing	0.049729
conservationist	0.0497222
wholesaler	0.0496997
"Winston Cup"	0.0492843
droppings	0.0491756
enthusiast	0.0491327
buyer	0.0490116
husbandry	0.048704
veterinarian	0.0483768
"governor's race"	0.0480056
marketers	0.0478948
"dairy farmer"	0.0471819
"interior designer"	0.0471034
"car dealer"	0.0470684
filmmakers	0.0468683
"art dealer"	0.0468037
auctioneer	0.0467863
swine	0.0467135
vintner	0.0465419
psychologist	0.0465157
"food company"	0.0465005
"film producer"	0.0464431
manure	0.0461977
vendor	0.0461908
herdsmen	0.0461131
connoisseur	0.0460977
"Florida Derby"	0.0459765
processor	0.0459116
Litigator	0.045723
"Santa Anita Handicap"	0.0457088
slaughterhouse	0.0455499
chef	0.045431
rider	0.0453436
angler	0.0451329
"open primary"	0.0451133
contractor	0.0450522
"D. Wayne Lukas"	0.0448889
shipbuilder	0.0448559
financier	0.0448346
retailer	0.0447667
distiller	0.0445282
"Emmy Awards"	0.0444577
broker	0.0444517
Programmer	0.0443303
environmentalist	0.0443152
"home buyer"	0.0443035
forester	0.0442611
lover	0.0442246
specie	0.0442144
archaeologist	0.0440865
patron	0.0439851
purchaser	0.0439691
Grammys	0.0438898
agronomist	0.0438814
footballer	0.043806
"property owner"	0.043667
seller	0.0435623
mathematician	0.0435429
Futurity	0.0435417
"Grammy Awards"	0.0434821
"fashion designer"	0.0434355
"Golden League"	0.0434142
"research center"	0.0432278
Baffert	0.0431665
publisher	0.043081
shopkeeper	0.0430788
"newspaper editor"	0.0429724
"Tony Awards"	0.0429068
"truck driver"	0.0425799
Masters	0.0425318
advertiser	0.0425262
renter	0.0424999
scholar	0.0423896
"plastic surgeon"	0.0422105
Winston	0.0421584
tenant	0.0421388
automakers	0.0420942
practitioner	0.0420809
"public servant"	0.0419138
"Boston Marathon"	0.0418937
winery	0.0418804
"disc jockey"	0.0418255
"auto manufacturer"	0.0417861
dentist	0.0417121
"registered nurse"	0.0415902
artisan	0.041378
"life insurer"	0.0413544
beekeeper	0.0413451
logger	0.041331
"farm worker"	0.0412689
insurer	0.0412528
choreographer	0.0412517
"business leader"	0.0412517
cultivation	0.0410976
"SEA Games"	0.0410892
IRL	0.0410612
Woodward	0.0410376
"physical therapist"	0.0409344
builder	0.0409308
"futures price"	0.0408946
miner	0.0406014
songwriter	0.040552
"horse race"	0.0405269
"school teacher"	0.0404283
broadcaster	0.0403737
climber	0.040355
promoter	0.0403331
ranching	0.0403108
neurologist	0.040281
feces	0.0402005
"faculty member"	0.0401923
brewery	0.0401307
))
(breeding (desc 29147.3) (sims
farming	0.173989
cultivation	0.173978
"animal husbandry"	0.158644
aquaculture	0.144649
husbandry	0.141577
processing	0.141192
conservation	0.127644
planting	0.126002
mining	0.125704
afforestation	0.125491
irrigation	0.123528
forestry	0.122956
propagation	0.118011
fishery	0.112762
agriculture	0.112674
fishing	0.102779
grazing	0.101997
reproduction	0.100689
production	0.0998954
Livestock	0.0970119
rearing	0.0966338
horticulture	0.0956022
manufacturing	0.0947476
specie	0.094362
biotechnology	0.094209
hunting	0.0934604
exploration	0.0924957
aquatics	0.0912756
ecology	0.0900439
preservation	0.0879604
genetics	0.0877528
reclamation	0.0868496
conservancy	0.0867968
transportation	0.0859196
utilization	0.0856878
refining	0.0855862
tourism	0.0853759
fertilization	0.0844283
"chemical industry"	0.0825927
research	0.0825246
aquiculture	0.0814683
distribution	0.0810834
storage	0.0805876
reforestation	0.0803325
construction	0.0797789
habitat	0.0797435
engineering	0.0796042
exploitation	0.0789141
logging	0.0788984
"genetic engineering"	0.0786385
shipbuilding	0.0786008
development	0.0785222
protection	0.0783178
extraction	0.0782085
manufacture	0.0777299
"high technology"	0.0761314
shipping	0.0753681
crop	0.0751029
transport	0.0746436
eradication	0.0742276
wildlife	0.0738059
industrialization	0.0733841
poultry	0.0732804
metallurgy	0.0731027
testing	0.0730767
popularization	0.0729512
marketing	0.0725465
"life science"	0.0719629
telecommunication	0.0716048
feeding	0.071325
"road construction"	0.0712197
rehabilitation	0.0711686
prevention	0.071112
aviation	0.0708182
"information technology"	0.0692332
petrochemical	0.0692292
navigation	0.069208
bioengineering	0.0690543
breeder	0.0685897
management	0.0685123
"building material"	0.0684574
detection	0.0684151
farm	0.0683366
breed	0.0683199
importation	0.0678348
health	0.0676623
recreation	0.0675397
science	0.0671843
"flood control"	0.0669242
"family planning"	0.0668114
education	0.066476
grain	0.066441
biology	0.066268
resource	0.0654742
communication	0.0654636
exportation	0.0650215
plantation	0.064458
technology	0.0642148
dairy	0.0641836
drilling	0.0640792
resettlement	0.0633457
harvest	0.0633446
diversification	0.0633228
gardening	0.063172
pharmaceutical	0.0628629
export	0.0625015
ranching	0.0620473
therapy	0.0618554
poaching	0.0617705
commerce	0.0617524
"medical science"	0.0617504
infestation	0.0617297
herd	0.0615986
infrastructure	0.0613151
procurement	0.0611534
recruitment	0.06039
maintenance	0.0603251
migration	0.0602412
recycling	0.0601835
consumption	0.0601678
training	0.0598113
electronics	0.0597945
nutrition	0.0595928
spraying	0.0595426
variety	0.0595197
dissemination	0.0593538
mating	0.0592792
medicine	0.0592198
fertility	0.0590705
carcass	0.0588917
high-tech	0.0587425
slaughter	0.0586103
desalination	0.0585977
transplantation	0.0585207
environment	0.0584376
petroleum	0.0582596
innovation	0.0582555
sanitation	0.0582554
vaccination	0.0581521
cotton	0.0581062
genomics	0.0580957
"garbage disposal"	0.0580764
larvae	0.058017
animal	0.0578155
alleviation	0.0577558
fossil	0.0577056
hydropower	0.0575664
aerospace	0.057524
disposal	0.0575032
fish	0.0573907
"quality control"	0.0572786
meteorology	0.0569564
sector	0.0567699
"water supply"	0.0566232
treatment	0.0566168
machine-building	0.056489
textile	0.0564125
cloning	0.0563952
Promotion	0.0563131
"higher education"	0.0562402
"military training"	0.0562198
learning	0.0561811
implantation	0.0559777
"oil palm"	0.0559217
Embryo	0.0559071
packaging	0.0558464
"product development"	0.0557324
surveillance	0.0556323
"real estate"	0.0554641
banking	0.0553185
commercialization	0.0552273
meat	0.0551732
energy	0.0550097
immunization	0.0549944
upgrading	0.054956
Gene	0.0548498
dispersal	0.0546635
networking	0.0546338
vegetable	0.0544054
improvement	0.0541937
food	0.0541803
chemical	0.0541376
technique	0.0540973
investment	0.054052
seedling	0.0538267
teaching	0.053793
quarantine	0.0536915
cattle	0.0536655
lending	0.053498
"domestic animal"	0.0534678
population	0.0533778
productivity	0.0533684
smuggling	0.0533091
warehousing	0.0532077
"business activity"	0.0531834
transplant	0.0531542
pest	0.0531118
fertilizer	0.0530742
machinery	0.0530412
ecosystem	0.0530013
))
("breeding ground" (desc 8412.45) (sims
"hunting ground"	0.108349
habitat	0.0917697
hotbed	0.0828585
"proving ground"	0.081256
larvae	0.0714081
"fall guy"	0.0690284
haven	0.0681505
incubator	0.0679659
"petri dish"	0.0673494
"sounding board"	0.0652
byword	0.0638051
"rallying point"	0.0611144
conduit	0.0608009
"launching pad"	0.0592733
magnet	0.0574322
"lightning rod"	0.0569649
lookout	0.0569547
"safety valve"	0.0569452
battleground	0.056467
refuge	0.0562665
vector	0.0555754
"reference point"	0.0545351
user-friendly	0.0539742
repository	0.0530897
"point of entry"	0.0530867
sanctuary	0.0527212
panacea	0.0521532
"measuring stick"	0.0516759
"takeover target"	0.0493714
"flash point"	0.0492613
"gathering place"	0.0491189
flashpoint	0.048853
lifeline	0.0482385
"hiding place"	0.0482374
cure-all	0.0481356
"whipping boy"	0.0481354
"meeting place"	0.048133
"role model"	0.0471883
grist	0.0468894
"cause celebre"	0.0468112
"component part"	0.04646
synonym	0.0464094
hatchery	0.0462191
antidote	0.0461765
catalyst	0.0459895
"point of reference"	0.0459687
barometer	0.0458739
"cash cow"	0.0457554
showcase	0.0455547
"test case"	0.0453297
Gateway	0.0449287
"nerve center"	0.0448481
hangout	0.0448433
"jumping-off point"	0.0436499
"risk factor"	0.0434932
"traffic cop"	0.0433932
"staging area"	0.043176
"focal point"	0.0428636
"vacation spot"	0.0427922
"welcome mat"	0.0426684
tropics	0.0425536
"Club Med"	0.0424825
"stumbling block"	0.0420591
scapegoat	0.0418998
"family unit"	0.0415844
bottleneck	0.0414696
"stepping stone"	0.0410277
breeding	0.0408412
"Trojan Horse"	0.0408025
insulator	0.0407028
steppingstone	0.0402751
))
(Brees (desc 2434.78) (sims
McCown	0.221119
Applewhite	0.197991
Hasselbeck	0.186096
Griese	0.181899
Outzen	0.178962
Favre	0.166804
Huard	0.163258
Brunell	0.159463
Bledsoe	0.155328
Plummer	0.153297
Paus	0.151108
Kitna	0.150762
Vick	0.149381
"Tee Martin"	0.145858
Marino	0.143974
DeBerg	0.141812
Pederson	0.140792
Harbaugh	0.140739
Brady	0.140053
McNown	0.13906
Weinke	0.138413
McNabb	0.137231
Kanell	0.1353
"Jake Plummer"	0.130584
Testaverde	0.127246
Boller	0.127124
"Drew Brees"	0.126538
"Van Raaphorst"	0.12587
Flutie	0.125709
McNair	0.125579
Kealy	0.124364
Manning	0.120874
"Drew Bledsoe"	0.117943
Aikman	0.116772
Graziani	0.116194
"Cade McNown"	0.115851
Elway	0.114983
"Troy Aikman"	0.114029
"Peyton Manning"	0.113724
Grbac	0.111831
"Chris Chandler"	0.111744
"Joe Hamilton"	0.111272
Garrett	0.111155
Gannon	0.111022
Dilfer	0.110685
"Kerry Collins"	0.11067
Marinovich	0.109034
"Steve McNair"	0.107458
"Tim Couch"	0.107371
Culpepper	0.10636
"Kent Graham"	0.106231
Tupa	0.104189
"Kurt Warner"	0.103881
Mirer	0.102659
Warner	0.102218
Druckenmiller	0.101017
Chandler	0.100762
"Chris Weinke"	0.100015
"Doug Flutie"	0.0997324
"Kordell Stewart"	0.0989764
McCann	0.0987522
Bonner	0.0959815
"Dan Marino"	0.0944866
crouch	0.0939963
"Mark Brunell"	0.0932981
"Michael Bishop"	0.0919774
"Brian Griese"	0.0916705
"Randall Cunningham"	0.0914248
"Vinny Testaverde"	0.0902391
"Rob Johnson"	0.0886681
"Jon Kitna"	0.0884993
"Trent Green"	0.0879932
Brister	0.0878229
"Jeff Garcia"	0.0869754
Pennington	0.0864743
Cunningham	0.0860046
Detmer	0.0857993
"Major Applewhite"	0.0855839
Jenkins	0.0848433
Palmer	0.084665
Simms	0.084445
"Rich Gannon"	0.0833646
"Steve Beuerlein"	0.0830694
"Doug Pederson"	0.0829797
"Hail Mary"	0.0822979
Foley	0.0816913
Zolak	0.0813822
"Akili Smith"	0.0804589
Herta	0.0799102
Redman	0.0793194
"Steve Young"	0.0792564
Tuiasosopo	0.0791437
"Brett Favre"	0.0774557
"Neil O'Donnell"	0.0769198
"Damon Huard"	0.0765364
"Tony Banks"	0.0759621
Lucas	0.0753876
"Trent Dilfer"	0.0748801
Capel	0.0744189
"John Elway"	0.0742102
Mihm	0.073897
McKinley	0.0727186
"Bubby Brister"	0.0722992
Dorsey	0.0722092
O'Donnell	0.0720805
Lieberthal	0.0719037
Stackhouse	0.0717655
Ruehe	0.07173
Farris	0.0714502
Kramer	0.0709071
Murrell	0.0708513
Fizer	0.0700275
"Glenn Foley"	0.0698587
"Jason Garrett"	0.0698444
Moreno	0.0696781
Trepagnier	0.0694742
"Dave Brown"	0.0693145
"Warren Moon"	0.0692201
Rusch	0.068731
Pickett	0.0686268
Dayne	0.0685607
"Elvis Grbac"	0.0675895
Baugh	0.0673939
Henson	0.0671098
Furcal	0.0666914
Fiedler	0.0665505
"Rick Mirer"	0.0665389
Cassell	0.0662899
Newcombe	0.065624
"Jeff George"	0.0655251
"Erik Kramer"	0.0654251
"Ty Detmer"	0.0652699
Kapono	0.0650783
"Ryan McCann"	0.0649695
Etcheverry	0.0647615
STALEY	0.0646999
Giambi	0.0646196
"Marcus Outzen"	0.0646161
Gutierrez	0.0642274
Vidro	0.0640292
Mahomes	0.0637093
Bordick	0.0635381
Ripken	0.0635034
WARRICK	0.0632087
Muoneke	0.0631251
Surhoff	0.0628604
"Ryan Leaf"	0.0625777
"another @-pointer"	0.0624579
"Carson Palmer"	0.0621368
Jayhawks	0.0621091
"Chad Pennington"	0.0616915
"Donovan McNabb"	0.0610947
Cormier	0.0610628
Ordonez	0.0607932
Croshere	0.0605118
Szczerbiak	0.0599205
"Ryan Kealy"	0.0594521
"Ray Lucas"	0.0593505
"Todd Husak"	0.0587502
"Michael Vick"	0.0586268
Stinnett	0.0585811
Peters	0.0585286
Klesko	0.0584252
Tatis	0.0583451
Dawkins	0.0582818
"Earnhardt Jr."	0.0582191
Scalabrine	0.0581434
inbounds	0.0581361
Sasaki	0.0578665
Samuelson	0.0578334
Faulk	0.057777
Wasdin	0.0573231
Wilkins	0.0571775
Cabrera	0.0570514
"Brad Johnson"	0.0570014
Longo	0.0568053
Agbayani	0.0567917
Gullit	0.0567763
Helton	0.0565922
McMahon	0.0565578
Najera	0.0565498
Watts	0.0565332
Maruyama	0.056377
Boilermakers	0.0560524
"Bobby Hoying"	0.0559168
Huskers	0.0558677
"Washington Senators"	0.0556816
Runyan	0.0556294
Hatteberg	0.0555576
"Gus Frerotte"	0.0555044
Lafleur	0.0554906
estes	0.0554425
Sooners	0.0551886
Karros	0.0551797
Parrish	0.0550546
Alfonzo	0.0549235
Whitsitt	0.0548114
Webber	0.0545484
Casey	0.0545414
crosscourt	0.0545408
))
(breeze (desc 33782.9) (sims
wind	0.201455
"sea breeze"	0.123453
sunshine	0.113854
"gentle breeze"	0.113329
gust	0.109824
"air current"	0.101921
air	0.0999142
"strong breeze"	0.0997757
shower	0.0976701
drizzle	0.0964481
gale	0.0960766
"fresh breeze"	0.0933478
"trade wind"	0.0925598
rain	0.0921259
moisture	0.0906617
weather	0.0890178
chill	0.085974
humidity	0.0855752
sleet	0.0844871
"cold front"	0.0835043
"air mass"	0.0833505
cloud	0.0828584
temperature	0.0819432
snow	0.0790617
downpour	0.0780638
fog	0.0778514
swell	0.075068
Sky	0.0750233
thundershowers	0.074089
storm	0.0740297
Thunderstorm	0.0726348
"rain shower"	0.0721185
headwind	0.0699772
sunlight	0.0691423
mist	0.0665434
rainstorm	0.0648401
cloudiness	0.0643319
heat	0.0641638
cold	0.0632207
"jet stream"	0.06219
"blue sky"	0.0620658
wave	0.0619688
rainfall	0.0616456
surf	0.0596576
sun	0.0596336
climate	0.0596083
warmth	0.0594741
"ocean current"	0.0589945
"weather conditions"	0.0580209
squall	0.0569409
sun.	0.0565576
precipitation	0.0552343
shade	0.0547721
tide	0.0546428
"high pressure"	0.0544556
sea	0.0535832
darkness	0.0531128
disturbance	0.0529619
smoke	0.0525879
showers	0.0525828
clime	0.0521508
current	0.0520966
Snowfall	0.0518624
smell	0.0506464
snowstorm	0.0487232
aroma	0.0478734
"cold weather"	0.0475473
dust	0.047399
sand	0.0471978
Haze	0.0471799
scent	0.0463359
noise	0.0462331
atmosphere	0.0452559
"high temperature"	0.0450553
buzz	0.044423
Frost	0.0443309
plume	0.0440374
odor	0.0439098
breath	0.0436236
"La Nina"	0.0435697
"hot weather"	0.0433605
monsoon	0.0433314
"low pressure"	0.0429165
shadow	0.0428531
vibes	0.0427701
gloom	0.0423747
"heat wave"	0.0421849
lightning	0.0421089
thunder	0.0420869
rhythm	0.0420517
whiff	0.0417732
blizzard	0.0416501
foliage	0.0412453
excitement	0.0409313
delight	0.0403358
"good weather"	0.0402019
))
(Bremen (desc 4396.91) (sims
Rostock	0.170654
Dusseldorf	0.162547
Duesseldorf	0.154723
Halle	0.154457
Stuttgart	0.152794
Hamburg	0.152268
Karlsruhe	0.148688
Munich	0.148473
Dresden	0.143432
Basle	0.141064
Trondheim	0.139377
Wolfsburg	0.134558
"San Sebastian"	0.129575
Filderstadt	0.127109
Malmo	0.126793
Cologne	0.123305
Freiburg	0.1231
Eindhoven	0.121235
Hanover	0.120915
Nagoya	0.120395
Nuremberg	0.117359
Essen	0.116421
"St Petersburg"	0.115309
Leipzig	0.114383
Gelsenkirchen	0.112749
Rotterdam	0.112076
Fukuoka	0.111125
PALERMO	0.110718
Antwerp	0.109456
Strasbourg	0.10445
Schalke	0.104303
Dortmund	0.103715
Durres	0.103663
Frankfurt	0.102786
Toulon	0.102659
Lugano	0.102262
Goteborg	0.101783
Perth	0.101681
Glasgow	0.101488
"Werder Bremen"	0.10057
Aachen	0.0996751
BASEL	0.099449
Kitzbuehel	0.0992749
Charleroi	0.0988805
Hakuba	0.0983623
Barcelona	0.0976163
Berlin	0.0967391
Copenhagen	0.0953442
Osaka	0.0950451
Yokohama	0.0948947
BRATISLAVA	0.094806
Maribor	0.0945918
Hannover	0.0938682
Heerenveen	0.0936952
Genoa	0.0928153
Gdansk	0.0927086
Verona	0.0926703
Durban	0.0923287
Chiba	0.092169
Leverkusen	0.0916494
Kaiserslautern	0.0916035
Adelaide	0.0908443
"CHIANG MAI"	0.0908049
Nantes	0.0906659
Zurich	0.0903778
Lausanne	0.0902927
Eastbourne	0.0887696
"Indian Wells"	0.0877703
Linz	0.0876995
Sestriere	0.0871496
Bari	0.0871128
Mallorca	0.0866077
Lecce	0.0860145
Vitoria	0.0855992
Calgary	0.0854567
Murmansk	0.0852706
Gothenburg	0.0852432
Brisbane	0.0850004
KIEV	0.0845154
Sapporo	0.0844465
"Key Biscayne"	0.0844249
Lyon	0.0842445
Plata	0.0842168
Sparta	0.0839329
Asuncion	0.0838686
Duisburg	0.0834923
Yerevan	0.0826273
Rennes	0.0822041
Madras	0.0821949
Toulouse	0.0819994
Utrecht	0.0819703
Valencia	0.0816307
Malaga	0.0815939
MELBOURNE	0.0814149
Riga	0.0813431
Graz	0.0812801
Montpellier	0.0811767
Tashkent	0.0808743
Aberdeen	0.0808682
Bonn	0.0808025
Seville	0.0806451
Carlsbad	0.080168
Brandenburg	0.079515
Bayern	0.079024
Monaco	0.0790035
Ljubljana	0.0788527
Kashima	0.0786811
"San Lorenzo"	0.0786321
Minsk	0.0784794
"La Paz"	0.0784742
Southampton	0.0783088
Larnaca	0.0782878
Dubrovnik	0.0782376
"Wimbledon Tennis Championships"	0.0781748
BUCHAREST	0.0781024
ZAGREB	0.077611
Windhoek	0.0774107
Bologna	0.0771642
Cardiff	0.0770839
"European Swimming Championships"	0.0768026
Vladikavkaz	0.0766002
Porto	0.0764742
Tbilisi	0.0764113
Sheffield	0.0761149
BUDAPEST	0.076026
Vienna	0.0759466
Marseilles	0.0757974
"Gold Coast"	0.0756265
Eilat	0.0756218
"San Pedro Sula"	0.0753564
Haifa	0.0753245
Birmingham	0.0752101
STOCKHOLM	0.0746646
Bavaria	0.0743782
Lhokseumawe	0.0743202
Milan	0.0742678
Amsterdam	0.0741173
"Philippine Stock Exchange"	0.073814
MANAMA	0.0736418
Piraeus	0.0736399
"Melbourne Park"	0.0736392
"VfB Stuttgart"	0.073513
Prague	0.0734174
Merida	0.0733925
Edmonton	0.0732328
Hobart	0.07315
"Leicester City"	0.0726832
Bastia	0.0726557
Zaragoza	0.072462
Krasnoyarsk	0.0723848
Carrollton	0.0722455
Sunderland	0.0721765
"Chinese Army"	0.0720406
Surabaya	0.0720255
Liverpool	0.0718711
"English Football Association"	0.0717781
Langkawi	0.071726
Turin	0.0713929
SOFIA	0.071349
"Stone Mountain"	0.0712193
Doha	0.0710636
Auxerre	0.0709745
Oslo	0.0709215
"International Badminton Federation"	0.0707839
Maastricht	0.0706914
Lucerne	0.0706384
"World University Games"	0.0705707
Sirte	0.0703928
Mannheim	0.0703094
"Ho Chi Minh City"	0.07005
Bormio	0.0699221
Madrid	0.0696195
Jalalabad	0.0694997
"Calgary Flames"	0.0694936
"Turkish Daily News"	0.069442
Dublin	0.0694234
Sihanoukville	0.0694232
Perugia	0.0692492
"Hertha Berlin"	0.0690693
Bordeaux	0.0689337
Heidelberg	0.0688629
Algiers	0.068795
Weimar	0.0685858
Columbus	0.0685494
Belfast	0.0681559
Everton	0.0681445
Ghent	0.0679017
"Chinese Basketball League"	0.0678585
Hiroshima	0.0677895
Geneva	0.0677187
"San Salvador"	0.0676039
Parma	0.0675403
Shenhua	0.0673405
Salamanca	0.0673339
Accra	0.0672534
Lillehammer	0.0670649
Jeddah	0.0670454
Salonika	0.0670447
Duluth	0.0669288
Dili	0.0669231
))
(Brenda (desc 2264.58) (sims
Eileen	0.213517
Kristin	0.198491
Josephine	0.192131
Evelyn	0.191001
"Azizah Ismail"	0.178253
Tracey	0.173449
Juanita	0.172901
Olga	0.17222
Kathy	0.169914
Kathleen	0.165827
JoAnne	0.162717
Lynne	0.160543
Jacqueline	0.160159
Maureen	0.159251
Peggy	0.158714
Sheryl	0.15868
Polly	0.158679
Lori	0.158601
Patricia	0.157453
Suzanne	0.157098
Denise	0.153741
Cindy	0.151822
colleen	0.151739
Edith	0.150481
Janet	0.150451
Stephanie	0.150247
Sonia	0.149561
Cheryl	0.149289
Christine	0.148925
Millie	0.147298
Debbie	0.147026
Judy	0.146688
Debra	0.144028
Alexandra	0.143566
Doris	0.14293
Barbara	0.142621
Sylvia	0.142579
Helen	0.141765
Irina	0.14088
Theresa	0.140683
Valerie	0.140337
Dorothy	0.140214
Janice	0.139771
Marlene	0.139352
Diane	0.13931
alicia	0.139227
Phyllis	0.138534
Susan	0.137933
Linda	0.137603
Kathryn	0.137273
Beverly	0.136841
Carolyn	0.136249
Pam	0.135957
Jill	0.135614
Lisa	0.135595
Terri	0.134747
Liz	0.134358
Meg	0.13369
Donna	0.133631
Michele	0.133513
Marian	0.133083
Deborah	0.132475
Eleanor	0.132331
Rebecca	0.131778
Cherie	0.130372
Teresa	0.130094
Cynthia	0.129226
Ellen	0.129199
Margaret	0.129006
Sophie	0.128857
Elaine	0.12874
Cathy	0.128216
Dolores	0.126664
Esther	0.126377
Frances	0.126334
Clara	0.126019
Kimberly	0.125597
Lois	0.124882
Rita	0.124857
Rhonda	0.12467
gloria	0.124214
Sara	0.123913
Andrea	0.123445
Katie	0.123
Shirley	0.122123
Michelle	0.121969
Caroline	0.121552
"Queen Noor"	0.120886
Lydia	0.120776
Vicki	0.120747
Julie	0.120131
Marcia	0.11999
Carol	0.119865
Olivia	0.119732
Annie	0.119579
"Leigh Ann"	0.118776
Betty	0.118594
Pauline	0.118133
Nancy	0.118085
Miriam	0.117722
Laura	0.117646
Monique	0.117536
Melanie	0.117421
Patti	0.117327
ANN	0.11654
Jessica	0.116471
Natalie	0.11644
Leah	0.116214
Jennifer	0.115419
Melinda	0.115061
Beatrice	0.114876
Mona	0.113688
Nina	0.113625
Maria	0.113346
Nicole	0.112284
Marianne	0.112269
Sandra	0.11211
Lucia	0.110349
Erica	0.110226
Katherine	0.108965
Karen	0.108777
Marta	0.108641
Sarah	0.108351
Pamela	0.108267
Amy	0.108098
Lucille	0.108097
Beth	0.107978
Marie	0.106322
Hadassah	0.106011
Connie	0.105584
Paulina	0.105462
Emily	0.105424
Elena	0.105373
Gina	0.105266
"Graca Machel"	0.105221
Brooke	0.105068
Judith	0.104575
Camille	0.104357
hazel	0.104132
Rachel	0.103864
Audrey	0.103006
Jamie	0.10298
Nora	0.102743
Tina	0.102666
Marilyn	0.102357
Catherine	0.102053
Christina	0.101731
Sally	0.101444
Sheila	0.101418
"Karenna Gore Schiff"	0.101159
Colette	0.101049
Vera	0.101041
Jeanne	0.100954
Julia	0.100836
Anne	0.10072
"Carolyn Bessette Kennedy"	0.100529
Betsy	0.099972
Melissa	0.0997726
Louise	0.0992459
Jenny	0.0991446
Martha	0.0982504
Karenna	0.097941
Wanda	0.0971948
Naomi	0.0970408
Samantha	0.0966756
Angela	0.0963809
Anita	0.0961699
Norma	0.095929
Thelma	0.0957199
heather	0.0928383
Ida	0.0924028
Nikki	0.0920992
Ethel	0.0919407
Claudia	0.0916791
Tipper	0.0915235
Roberta	0.0914055
Lynn	0.091323
Erin	0.0910037
Renee	0.0906106
Vivian	0.0902312
"Jane Fonda"	0.0896958
Dana	0.0896916
Elizabeth	0.088178
Heidi	0.0879592
anna	0.0876928
Alice	0.0869414
Stella	0.0869271
Stacy	0.086554
Agnes	0.0865229
Edna	0.0864835
Molly	0.086208
Laurie	0.0855014
Regina	0.0854258
ISABEL	0.0851598
Gail	0.0851046
Dora	0.0850108
Emma	0.084907
Mira	0.0848453
becky	0.0846049
Vanessa	0.0839649
))
("Brenda Blethyn" (desc 3348.68) (sims
"Emily Watson"	0.145821
"Tobey Maguire"	0.140973
"Meryl Streep"	0.122795
"Geoffrey Rush"	0.122385
"Nick Nolte"	0.11403
"Jeremy Irons"	0.112959
"Judi Dench"	0.107027
"Michael Caine"	0.103638
"Liam Neeson"	0.101579
"Robert Duvall"	0.0992904
"Ian McKellen"	0.0979524
"Charlize Theron"	0.0978168
"James Earl Jones"	0.0969417
"Frances McDormand"	0.095639
"Cate Blanchett"	0.0951826
"Ethan Hawke"	0.0934038
"Janet McTeer"	0.0912541
"Annette Bening"	0.089361
"Little Voice"	0.0883301
"Ewan McGregor"	0.0853714
"Johnny Depp"	0.0834663
"Gwyneth Paltrow"	0.0833044
"Nicole Kidman"	0.0825134
"Sean Penn"	0.0817446
"Edward Norton"	0.0809801
"Ally Sheedy"	0.0804131
"Hugh Grant"	0.0793079
"Kate Winslet"	0.0790969
"Natalie Portman"	0.0790239
"Ashley Judd"	0.078005
"Harrison Ford"	0.0778089
"Brendan Fraser"	0.0777505
"Cuba Gooding Jr."	0.0777128
"Goldie Hawn"	0.0767988
"Melanie Griffith"	0.0765354
"Joan Allen"	0.0762535
"Anthony Hopkins"	0.0757104
"Kim Basinger"	0.0756769
"Robert Carlyle"	0.0756414
"Catherine Deneuve"	0.0749205
"Juliette Lewis"	0.0747378
"Julianne Moore"	0.0742869
"Michael Clarke Duncan"	0.0729015
"Russell Crowe"	0.0724982
"Aidan Quinn"	0.0723868
"Toni Collette"	0.0723848
"Martin Lawrence"	0.0720351
"Michael Douglas"	0.0716986
"Jeff Bridges"	0.0715692
"Richard Gere"	0.0708991
"Alicia Silverstone"	0.0706058
"Robert Redford"	0.0702936
"Kevin Bacon"	0.0699486
"Sarah Jessica Parker"	0.0697806
"Billy Bob Thornton"	0.0689376
"Jim Carrey"	0.068928
"John Leguizamo"	0.0685668
"Sela Ward"	0.0685594
"Roberto Benigni"	0.0679205
"Tom Hanks"	0.0675335
"Pierce Brosnan"	0.0671483
"Geena Davis"	0.0670651
Larch	0.0667933
"Kevin Kline"	0.0665632
"Angelina Jolie"	0.0664572
"Sandra Bullock"	0.066406
"Sidney Poitier"	0.0660655
"Wesley Snipes"	0.0649463
"Samuel L. Jackson"	0.0645483
"Albert Brooks"	0.0643691
"Hilary Swank"	0.0643065
"Sally Field"	0.0642767
"Demi Moore"	0.0642261
"Mark Wahlberg"	0.0641717
"Alec Baldwin"	0.0638039
Paltrow	0.0638029
"Diane Keaton"	0.0634573
"Chow Yun-Fat"	0.063281
"Chevy Chase"	0.0630531
Cleese	0.0628876
"James Van Der Beek"	0.0623516
"Kirsten Dunst"	0.0619027
"Vanessa Redgrave"	0.0618052
"Jon Voight"	0.0615261
"Ralph Fiennes"	0.0614719
"Rob Lowe"	0.0613847
"Guy Millner"	0.0609622
"Brad Pitt"	0.0608983
"Julia Roberts"	0.0607526
"Natasha Richardson"	0.0606926
"Tom Cruise"	0.0603357
"Arnold Schwarzenegger"	0.0599898
"Kevin Costner"	0.0596374
"Leelee Sobieski"	0.0587635
"Denzel Washington"	0.0587017
"JOHN TURTURRO"	0.0581541
"Warren Beatty"	0.0580882
"Jodie Foster"	0.0576271
"Susan Sarandon"	0.0575358
"Jennifer Love Hewitt"	0.0572843
"Robert Bork"	0.0567456
"Matthew McConaughey"	0.055775
"Christopher Plummer"	0.0550959
"Drew Barrymore"	0.0550741
"Helen Mirren"	0.0550539
"Christina Ricci"	0.0549537
"Kris Kristofferson"	0.0546113
"Chloe Sevigny"	0.0545425
"Joseph Fiennes"	0.0543686
"Kevin Spacey"	0.0537325
"Norm MacDonald"	0.0535547
"Claire Danes"	0.0532524
"Chris Klein"	0.0531539
"Omar Epps"	0.0527934
"Meg Ryan"	0.0527491
"Andre Braugher"	0.0524161
"Ben Stiller"	0.0523835
"Tim Allen"	0.0523616
"Keanu Reeves"	0.0521725
"Ian Holm"	0.0519669
"Jackie Chan"	0.0518698
"Ed Harris"	0.0518469
"Val Kilmer"	0.0518247
"Gregory Peck"	0.0516239
"Sharon Stone"	0.051417
"Matthew Broderick"	0.0513665
"Henry Fonda"	0.0511536
"Vivien Leigh"	0.0510044
"Billy Crystal"	0.0509412
"Martin Sheen"	0.0508414
"Richard Dreyfuss"	0.0508277
"Robert de Niro"	0.0507677
"Rupert Everett"	0.0507068
"Michelle Pfeiffer"	0.0506802
Jackie	0.0504617
"Robert DeNiro"	0.0503941
"Carmen Electra"	0.0503924
"Trey Parker"	0.0503085
"Antonio Banderas"	0.050126
"Jamie Foxx"	0.0501061
"John Travolta"	0.0500793
"Janet Leigh"	0.0500397
"Edward Furlong"	0.0496332
"Spencer Tracy"	0.0496085
Hilary	0.0494144
"Bette Midler"	0.0492741
"Anjelica Huston"	0.049227
"Angela Bassett"	0.0491547
Costner	0.0489792
"Nicolas Cage"	0.0489384
"Garry Mauro"	0.0487143
"Harvey Keitel"	0.0485388
"Burt Lancaster"	0.0485116
"Cameron Diaz"	0.0483871
"Mike Myers"	0.0483241
"Lisa Kudrow"	0.0479822
"David Duchovny"	0.0478877
"David Spade"	0.0475627
"Gene Hackman"	0.0475604
"Jack Lemmon"	0.0475501
"Tom Selleck"	0.0469321
"Kirk Douglas"	0.0469203
"Kelsey Grammer"	0.0469047
"Sigourney Weaver"	0.0467878
"Elisabeth Shue"	0.0465898
"Famke Janssen"	0.0465597
"Jessica Lange"	0.0460912
"Neve Campbell"	0.0460613
"Steve Martin"	0.0459195
wattage	0.0458367
"Julie Andrews"	0.0458326
"Paul Newman"	0.0457245
"Stanley Tucci"	0.0454976
"Audra McDonald"	0.0454798
"Minnie Driver"	0.0453904
"Ben Affleck"	0.0453253
Edna	0.0453161
"Marlon Brando"	0.0452992
"Winona Ryder"	0.0452782
"Christian Bale"	0.0451292
"Adam Sandler"	0.0451065
"Coretta Scott King"	0.0449212
"Stephen Rea"	0.0446542
"Patsy Ramsey"	0.0445846
"Lauren Bacall"	0.0445059
"Matt Damon"	0.0444944
"Kathleen Turner"	0.0442127
"Sean Connery"	0.0441941
"Taye Diggs"	0.0440799
Broderick	0.0440075
"James Woods"	0.0439507
"Bill Pullman"	0.0430013
"Jay Mohr"	0.042977
"Halle Berry"	0.0429422
"William Hurt"	0.0427694
"Christopher Reeve"	0.0426953
"Tracey Ullman"	0.0426343
"Jack Kemp"	0.0426114
"Sylvester Stallone"	0.0425569
Streep	0.0425351
))
("Brenda Schultz-McCarthy" (desc 2632.02) (sims
"Kristie Boogert"	0.358751
"Barbara Paulus"	0.348341
"Sabine Appelmans"	0.334931
"Sjeng Schalken"	0.322962
"Paul Haarhuis"	0.320673
"Judith Wiesner"	0.318913
"Miriam Oremans"	0.317069
"Sarah Pitkowski"	0.315061
"Magdalena Maleeva"	0.311215
"Francisco Clavet"	0.308465
"Albert Portas"	0.308351
"Nathalie Dechy"	0.2998
"Dominique Van Roost"	0.292298
"John Van Lottum"	0.290722
"Irina Spirlea"	0.286814
"Alberto Berasategui"	0.285836
"Magui Serna"	0.284862
"Richard Krajicek"	0.28481
Siemerink	0.281812
"Younes El Aynaoui"	0.279598
"Anke Huber"	0.279188
"Silvia Farina"	0.278608
"Karim Alami"	0.277696
"Carlos Costa"	0.275789
"Ruxandra Dragomir"	0.275414
"Felix Mantilla"	0.271327
"Christian Ruud"	0.269188
"Li Fang"	0.267228
"Arnaud Boetsch"	0.266819
"Ai Sugiyama"	0.266675
"MaliVai Washington"	0.266285
"Richard Fromberg"	0.266109
"Nathalie Tauziat"	0.263678
"Amanda Coetzer"	0.263318
"Mariano Puerta"	0.263108
"Joannette Kruger"	0.262319
"Iva Majoli"	0.262034
"Kimiko Date"	0.261459
"Julie Halard-Decugis"	0.259918
"Dennis van Scheppingen"	0.259516
"Paola Suarez"	0.257179
"Conchita Martinez"	0.256947
"Sandrine Testud"	0.25692
"Yayuk Basuki"	0.256159
"Mariano Zabaleta"	0.255268
"Elena Likhovtseva"	0.253978
"Mary Pierce"	0.253038
"Albert Costa"	0.252702
"Fabrice Santoro"	0.250314
"Franco Squillari"	0.248528
"Marc Rosset"	0.248382
"Anne Kremer"	0.248334
"Goran Ivanisevic"	0.246935
"Vincent Spadea"	0.246576
"Wayne Ferreira"	0.24554
"Greg Rusedski"	0.244461
"Rainer Schuttler"	0.243771
"Patty Schnyder"	0.243128
"Asa Carlsson"	0.242903
"Chanda Rubin"	0.242002
"Hernan Gumy"	0.241506
"Florencia Labat"	0.240417
"Sargis Sargsian"	0.240368
"Sergi Bruguera"	0.238583
"Ramon Delgado"	0.237499
"Arantxa Sanchez Vicario"	0.236895
"Andrei Pavel"	0.235523
"Tamarine Tanasugarn"	0.235094
"Jason Stoltenberg"	0.233825
"Henrieta Nagyova"	0.233331
"Natasha Zvereva"	0.233266
"Tatiana Panova"	0.232251
"Naoko Sawamatsu"	0.232228
"Adrian Voinea"	0.231186
"Russian Yevgeny Kafelnikov"	0.231124
"Australian Mark Philippoussis"	0.23103
"Renzo Furlan"	0.230418
"Jerome Golmard"	0.229913
"Amy Frazier"	0.229784
"Arnaud Clement"	0.229109
"Alberto Costa"	0.228965
"Magnus Norman"	0.228411
"Byron Black"	0.227993
"Magnus Gustafsson"	0.227138
"Gustavo Kuerten"	0.226482
"Alexandra Fusai"	0.226414
"Andrea Gaudenzi"	0.224196
"Thomas Muster"	0.223742
"Juan Antonio Marin"	0.223281
"Kenneth Carlsen"	0.223154
"Todd Woodbridge"	0.222072
"Jonas Bjorkman"	0.221598
"Cara Black"	0.2215
"Thomas Enqvist"	0.221297
"Dominik Hrbaty"	0.221204
"Lisa Raymond"	0.220351
"Marcelo Filippini"	0.219276
"Julian Alonso"	0.218215
"Amelie Mauresmo"	0.218119
"Filip Dewulf"	0.218091
"Arantxa Sanchez-Vicario"	0.217998
"Karol Kucera"	0.21781
"Nicolas Escude"	0.216888
Berasategui	0.216495
"Tommy Haas"	0.214874
"Jana Novotna"	0.213511
"Arnaud Di Pasquale"	0.213495
"American Lindsay Davenport"	0.212657
"Tara Snyder"	0.212061
"Grant Stafford"	0.211852
"Jim Courier"	0.211705
"Scott Draper"	0.210706
"Andreas Vinciguerra"	0.210594
"Mary Joe Fernandez"	0.209675
"Tim Henman"	0.208911
"Hicham Arazi"	0.208261
"Carlos Moya"	0.208087
"Barbara Schett"	0.208058
"Marcos Ondruska"	0.20689
"Nicole Pratt"	0.206799
"Michael Chang"	0.20588
"Kim Clijsters"	0.205645
"Monica Seles"	0.204857
"American Chanda Rubin"	0.204705
"Jacco Eltingh"	0.20467
"Nicolas Lapentti"	0.204328
"Catalina Cristea"	0.203744
"Jeff Tarango"	0.202935
"Petr Korda"	0.20275
"Mia Audina"	0.20265
"Marcelo Rios"	0.201879
"Fung Permadi"	0.199585
"Bohdan Ulihrach"	0.199313
"Michael Tebbutt"	0.199253
"Fernando Meligeni"	0.198975
"Andrei Medvedev"	0.197567
"Steve Campbell"	0.197496
"Els Callens"	0.197298
"Javier Sanchez"	0.196677
"Mark Philippoussis"	0.194749
"Yevgeny Kafelnikov"	0.193338
"Leander Paes"	0.191381
"Patrick Rafter"	0.19112
"Thomas Johansson"	0.190942
"Olga Barabanschikova"	0.190623
"Andrew Ilie"	0.190451
"Todd Martin"	0.190393
"Rita Grande"	0.190129
"Alex Corretja"	0.18947
"Xavier Malisse"	0.189018
"Chris Woodruff"	0.188677
"Mikael Tillstrom"	0.187719
"David Prinosil"	0.186993
Swardt	0.186546
"Roger Federer"	0.186269
"Nicolas Kiefer"	0.185803
"Cedric Pioline"	0.183822
"Vince Spadea"	0.18378
Halard-Decugis	0.183444
"Rodney Eyles"	0.182998
"Juan Carlos Ferrero"	0.182242
"Barbara Rittner"	0.182179
"Neville Godwin"	0.182032
"Peter Nicol"	0.182017
Dragomir	0.181858
"Magnus Larsson"	0.1817
"Brett Steven"	0.181169
"Davide Sanguinetti"	0.180985
"Serena Williams"	0.179824
"Richey Reneberg"	0.179624
"Gianluca Pozzi"	0.179238
"Mahesh Bhupathi"	0.178989
"Jonathan Stark"	0.178796
"Karina Habsudova"	0.17878
"Mark Knowles"	0.178512
"Venus Williams"	0.178502
"South African Amanda Coetzer"	0.175767
"Wayne Black"	0.175213
"Lindsay Davenport"	0.175157
"Steffi Graf"	0.173764
"Sebastien Grosjean"	0.173131
"Jennifer Capriati"	0.172869
"American Todd Martin"	0.172215
"Daniel Vacek"	0.171794
"Martin Damm"	0.170281
"American Andre Agassi"	0.168203
"Martina Hingis"	0.167911
"Camilla Martin"	0.167838
"Mark Woodforde"	0.167621
"Stefan Edberg"	0.166365
"Gong Zhichao"	0.166265
"Anne-Gaelle Sidot"	0.165675
"Marat Safin"	0.165673
"Jiri Novak"	0.165543
"Jan-Michael Gambill"	0.164721
"Sebastien Lareau"	0.164073
"Elena Dementieva"	0.163723
"Guillaume Raoux"	0.163385
Ulihrach	0.161464
"Joko Suprianto"	0.161065
"Galo Blanco"	0.160978
"Slava Dosedel"	0.158477
"Max Mirnyi"	0.158314
Hoogenband	0.158214
"Peter Gade Christensen"	0.157201
"Alex O'Brien"	0.157115
Bruguera	0.156808
"Boris Becker"	0.156243
"Corina Morariu"	0.156138
"Rintje Ritsma"	0.155689
"Michael Stich"	0.155409
"Kimberly Po"	0.154917
"Partizan Belgrade"	0.154837
"Peter Rasmussen"	0.154218
"Adriana Gersi"	0.153397
"Denisa Chladkova"	0.152484
"Mirjana Lucic"	0.151157
"American Michael Chang"	0.150642
"Guy Forget"	0.150174
"Pat Rafter"	0.150134
"Daniel Nestor"	0.149802
Kuerten	0.149053
"Anna Kournikova"	0.14901
"Kveta Hrdlickova"	0.14867
Henman	0.147833
Nacional	0.146927
"Andre Agassi"	0.146769
"American Pete Sampras"	0.146505
"Gong Ruina"	0.1465
"Jansher Khan"	0.14468
Krajicek	0.144383
"Andres Gomez"	0.144088
"Xia Xuanze"	0.143314
Heerenveen	0.14223
"Wang Chen"	0.139729
Kafelnikov	0.139513
"Ong Ewe Hock"	0.139182
"Lleyton Hewitt"	0.138142
Rusedski	0.137939
Stoltenberg	0.137577
"Ye Zhaoying"	0.137541
Mantilla	0.136758
Clavet	0.13646
"Taufik Hidayat"	0.135874
"Justin Gimelstob"	0.134537
Coetzer	0.133638
Ferreira	0.133467
"Barbara Schwartz"	0.132951
"Gianni Romme"	0.132717
"Rika Hiraki"	0.132712
Testud	0.13235
"Wang Shi-Ting"	0.131507
"Zhang Ning"	0.131402
"Briton Greg Rusedski"	0.130428
Enqvist	0.130416
Moya	0.129506
Kroslak	0.128428
rios	0.128261
"Helena Sukova"	0.124311
"Ajax Amsterdam"	0.123973
"Dai Yun"	0.122651
Sugiyama	0.122437
Raoux	0.120074
Dosedel	0.11955
Sanchez-Vicario	0.119184
"Jelena Dokic"	0.118436
Kiefer	0.116945
Novotna	0.116187
Mauresmo	0.115883
"Wayne Arthurs"	0.115844
"Pete Sampras"	0.115526
Haarhuis	0.115389
Safin	0.115161
"Inge de Bruijn"	0.114741
"Lori McNeil"	0.114659
Independiente	0.114496
"Van Roost"	0.114098
"Nicklas Kulti"	0.114
"Janet Lee"	0.113454
"Phenix City"	0.112227
Philippoussis	0.111916
Corretja	0.111295
Seles	0.110586
"Katarina Studenikova"	0.110548
Likhovtseva	0.110491
"Ge Fei"	0.109742
"Jimmy Connors"	0.109617
Bjorkman	0.109093
Gustafsson	0.10861
Pioline	0.108531
"Heryanto Arbi"	0.107737
"Dong Jiong"	0.107673
Eindhoven	0.107562
Lapentti	0.106173
"Olivier Delaitre"	0.106059
Habsudova	0.10593
Zamalek	0.10539
"Olympiakos Piraeus"	0.105088
"Sandra Kleinova"	0.10481
"Ji Xinpeng"	0.104363
Tauziat	0.104185
Schnyder	0.104076
Kournikova	0.10406
"Jan-Ove Waldner"	0.104007
Edberg	0.103956
Hrbaty	0.103622
"Paul Goldstein"	0.103532
Costa	0.102681
Santoro	0.102045
Feyenoord	0.101861
"Wang Liqin"	0.101838
Ivanisevic	0.101789
Hingis	0.101199
Majoli	0.101016
"Sanchez Vicario"	0.100722
"Sandon Stolle"	0.100293
Spadea	0.100009
))
(Brendan (desc 1172.65) (sims
sexton	0.097174
Pentium	0.0735644
"Pope John Paul"	0.0729185
Albert	0.0705493
Boller	0.069285
Hamzah	0.0688952
"Lei Feng"	0.0661814
Hubert	0.0655016
Roland	0.063713
choirboy	0.0635708
Iger	0.0609622
Rambo	0.0609222
VI	0.0608625
Edward	0.0604474
Robby	0.0572841
Andrei	0.0567351
Zachary	0.0560207
Englishwoman	0.0558427
D.	0.0552404
Dunleavy	0.0549143
Ballmer	0.0544023
Gorter	0.054199
Tillman	0.0535771
Kasyanov	0.053249
Dominic	0.0529712
"Gary Kirsten"	0.0523658
swank	0.0522181
Yoakam	0.0516233
Francois	0.0516106
Silas	0.0515578
Jessie	0.051265
Atkins	0.051207
Hindery	0.0509109
Schuerholz	0.0508254
Pablo	0.0507308
Erving	0.0502491
"John Henry"	0.050033
Luca	0.0499008
"welfare worker"	0.0498631
Joshua	0.0498393
Menuhin	0.0497745
Matthew	0.0493785
Scoonie	0.0492768
fawn	0.0492711
Darrell	0.0490382
Eduardo	0.0488936
Nickerson	0.048727
Westphal	0.048336
"Cindy McCain"	0.0482641
Cyrus	0.0480976
Berle	0.0480452
tyke	0.0479056
Tanaka	0.0475976
BANDERAS	0.0470292
"Tommy Bowden"	0.0466367
Isabella	0.0466292
Dexter	0.046595
Ivan	0.0465475
Brenda	0.0464581
Andreessen	0.0461368
Rodrigo	0.0459619
Milbury	0.0458283
Deneuve	0.0457847
"one of the boys"	0.045782
Puzo	0.0457772
Giordano	0.0457307
Regis	0.0454993
Marty	0.0454836
Juan	0.0454293
McKenna	0.0453828
Travis	0.0453575
Olivia	0.0452694
"milk cow"	0.0451879
Miguel	0.0451015
Jeb	0.0449648
Hakeem	0.0448358
Gregory	0.0448274
"New Jerseyans"	0.0447825
Ferdinand	0.044765
Samuel	0.0446454
Carl	0.0445954
"Jennifer Love Hewitt"	0.0445587
Shandling	0.0442122
Gina	0.0441132
Gabriel	0.0440124
nance	0.0435809
Diego	0.0432344
Seaver	0.043229
Chrissie	0.0432033
"George W."	0.0431574
"military band"	0.0430886
bazooka	0.0429303
Jamal	0.0429207
Kohn	0.0428967
"King Hassan"	0.0428525
Corey	0.042774
Ehrlichman	0.0427375
romano	0.042594
"Little Dog"	0.0425271
Otis	0.0424871
"white person"	0.0423132
Rhonda	0.0422533
whomever	0.0421485
Hayworth	0.0421314
Ziegler	0.0420819
Jeremiah	0.041952
Wyatt	0.0419106
Dodi	0.0418864
"Bashar Assad"	0.0418265
"Liu Shaoqi"	0.0418229
Robbie	0.0418217
Brock	0.0417179
Bridgewater	0.041582
Sasha	0.0415784
Kopp	0.0415784
Joel	0.0410697
Matthau	0.0410621
"Steve Ballmer"	0.0410223
"Helen Clark"	0.0409085
Chappell	0.0407613
Ronnie	0.0407451
Nicole	0.0407421
Astaire	0.040672
"San Franciscans"	0.0405735
Lorenzo	0.0405411
Stolle	0.0403697
Gerard	0.0403463
Brody	0.0402657
"World Vision"	0.040211
Jose	0.0400541
"Jeff Bridges"	0.0400515
))
("Brendan Fraser" (desc 3510.77) (sims
"Halle Berry"	0.112284
"Lynn Redgrave"	0.105748
"Sarah Jessica Parker"	0.100225
"Kevin Bacon"	0.0982402
"Johnny Depp"	0.0981551
"Mark Wahlberg"	0.0972674
"Jeremy Irons"	0.0944309
"Patrick Stewart"	0.0941581
"William Hurt"	0.0926829
"Natalie Portman"	0.0922204
"Famke Janssen"	0.0909087
"James Van Der Beek"	0.0882318
"Cate Blanchett"	0.088153
"Kirsten Dunst"	0.0871899
"Robert DeNiro"	0.0870217
"Ralph Fiennes"	0.0866951
"Alicia Silverstone"	0.086459
"Matthew Broderick"	0.0841683
"Anne Bancroft"	0.0839717
"Chow Yun-Fat"	0.0833747
"Stephen Rea"	0.0825478
"Ian McKellen"	0.0822991
"Sela Ward"	0.0807602
"Geoffrey Rush"	0.0807163
"Gene Hackman"	0.0805215
"Matthew McConaughey"	0.079944
"Ewan McGregor"	0.0789978
"Richard Gere"	0.0788284
"Christopher Walken"	0.0781782
"Brenda Blethyn"	0.0777505
"Norm MacDonald"	0.0760216
"Dame Judi Dench"	0.0748755
"James Earl Jones"	0.0742016
"Mike Myers"	0.0737733
"Michael J. Fox"	0.0732057
"Keanu Reeves"	0.0730151
"Kenneth Branagh"	0.0721859
"Renee Zellweger"	0.0719796
"Bridget Fonda"	0.0719576
"Glenn Close"	0.0718198
"Hugh Grant"	0.0717336
"Walter Matthau"	0.0712828
"Roberto Benigni"	0.0712091
"Sigourney Weaver"	0.0710733
"Aidan Quinn"	0.0706761
"Kim Basinger"	0.0702783
"Christopher Plummer"	0.069341
"Jamie Foxx"	0.0688969
"Susan Sarandon"	0.0688258
"Martin Lawrence"	0.0686532
"Michael Douglas"	0.0674801
"Val Kilmer"	0.0673859
"William H. Macy"	0.0672258
"Michelle Pfeiffer"	0.0671433
"Robert Carlyle"	0.0670919
"Nicole Kidman"	0.0668027
"Sylvester Stallone"	0.0665128
"Nicolas Cage"	0.066135
"Antonio Banderas"	0.0657684
"Jennifer Love Hewitt"	0.0655847
"Tim Allen"	0.0655829
"Kelsey Grammer"	0.0649202
"Juliette Lewis"	0.0648404
"Robert de Niro"	0.0644242
Cleese	0.0643593
"Jennifer Lopez"	0.0642412
"Nick Nolte"	0.0641696
"Samuel L. Jackson"	0.0640169
"Wesley Snipes"	0.0639664
"Robert Redford"	0.0634448
"Kate Winslet"	0.0630538
"Kevin Spacey"	0.0630285
"Henry Fonda"	0.0625307
"Ben Affleck"	0.06236
"Angela Bassett"	0.0622673
"Sally Field"	0.0622198
"Chris Klein"	0.0619151
"George Clooney"	0.0617089
"Diane Keaton"	0.0612364
"Rob Lowe"	0.0612346
"Harvey Keitel"	0.0611701
"Matt Damon"	0.0610239
"Christian Bale"	0.0609652
"Tommy Lee Jones"	0.0609542
"Pierce Brosnan"	0.0604995
"David Spade"	0.0604159
"Oliver Platt"	0.0601372
"Claire Danes"	0.0598489
"Russell Crowe"	0.0598257
"Catherine Zeta-Jones"	0.0597287
"Richard Dreyfuss"	0.0595053
"Bruce Willis"	0.0593443
"Joseph Fiennes"	0.0592713
Costner	0.0588634
"Liam Neeson"	0.0586099
"John Travolta"	0.058601
"Ian Holm"	0.0585918
"Robert Duvall"	0.0579535
"Woody Harrelson"	0.0578443
"Geena Davis"	0.0577119
"Sean Penn"	0.0575416
"Jay Mohr"	0.0571337
"Edward Norton"	0.0565742
"Sandra Bullock"	0.056568
"Melanie Griffith"	0.0565677
"Julia Roberts"	0.0565539
"Willem Dafoe"	0.0564197
"Ethan Hawke"	0.0563791
"Denzel Washington"	0.0562627
"Michael Caine"	0.0562626
"Nathan Lane"	0.0561377
"Sean Connery"	0.0560512
"Harrison Ford"	0.0559905
"Tom Selleck"	0.0559304
"JOHN TURTURRO"	0.05592
"Kevin Costner"	0.0558256
"Vivien Leigh"	0.0556358
"Edward Furlong"	0.0556141
"Joan Allen"	0.0556088
"Brian Dennehy"	0.0554242
"Jackie Chan"	0.0552908
"Drew Barrymore"	0.0551404
"Jimmy Smits"	0.055125
"Chevy Chase"	0.0549695
"Will Smith"	0.0548606
"Arnold Schwarzenegger"	0.0545884
"Burt Lancaster"	0.0545386
Fraser	0.0543125
"Danny DeVito"	0.0541105
"Tom Hanks"	0.0540816
"Gillian Anderson"	0.054004
"Hilary Swank"	0.0539604
"Albert Brooks"	0.0539514
"Leelee Sobieski"	0.0538719
"Tobey Maguire"	0.0538288
"Natasha Richardson"	0.0538171
"Kevin Kline"	0.05326
Bjork	0.0531841
"Nigel Hawthorne"	0.0530781
"Kathleen Turner"	0.0528224
"James Woods"	0.0528127
"Bill Paxton"	0.0525877
"Billy Bob Thornton"	0.0525795
"Jeff Bridges"	0.0525229
"Helen Mirren"	0.0524478
"Alec Baldwin"	0.0523979
"Sidney Poitier"	0.0522373
"Janet McTeer"	0.052177
"Bernadette Peters"	0.052166
"Jim Carrey"	0.0521142
"Meg Ryan"	0.0521028
"Ray Romano"	0.0520795
"Dennis Hopper"	0.0520534
"John Cusack"	0.0520456
Braugher	0.0518528
"Julianne Moore"	0.0516577
"Emily Watson"	0.0515519
"Matthew Perry"	0.0514061
"Sarah Michelle Gellar"	0.0512499
"Parker Posey"	0.0512327
"Tracey Ullman"	0.0511612
"Paul Newman"	0.0509772
"Anthony Hopkins"	0.0509385
"Dan Hedaya"	0.050721
"Cuba Gooding Jr."	0.0506532
"Gabriel Byrne"	0.0506009
"Carmen Electra"	0.0504875
"Vanessa Redgrave"	0.0504108
"Jason Alexander"	0.0503221
"Jon Voight"	0.0502849
"Ally Sheedy"	0.0500031
"Spencer Tracy"	0.0498935
"Brad Pitt"	0.0498649
masquerade	0.0497731
"Ted Danson"	0.0497196
"John Leguizamo"	0.0496576
"Martin Sheen"	0.0496371
"David Duchovny"	0.0493841
"Vince Vaughn"	0.049267
"Patricia Arquette"	0.0491143
"Sharon Stone"	0.0490543
"Kathy Bates"	0.048967
"Ashley Judd"	0.0488985
"Kirk Douglas"	0.0488522
"Julie Andrews"	0.0484202
"Jessica Lange"	0.0483326
"Ben Stiller"	0.0483309
"William Shatner"	0.0482468
"Andre Braugher"	0.0480724
"Lisa Kudrow"	0.047933
"Catherine Deneuve"	0.0479125
"Reese Witherspoon"	0.0478093
"Jodie Foster"	0.0477992
Broderick	0.0477265
"Gregory Peck"	0.0475151
"Omar Epps"	0.0472633
"Dustin Hoffman"	0.0472519
"Eddie Murphy"	0.0472292
"Charlton Heston"	0.0469769
"Taye Diggs"	0.0466842
))
("Brendan Shanahan" (desc 2717.34) (sims
"Darren McCarty"	0.445227
"Sergei Fedorov"	0.374834
"Larry Murphy"	0.327158
"Steve Yzerman"	0.326974
"Igor Larionov"	0.280172
"Nicklas Lidstrom"	0.242856
"Chris Osgood"	0.206299
"Wendel Clark"	0.187631
"Geoff Sanderson"	0.166663
"Mike Sullivan"	0.16254
"Dave Andreychuk"	0.158537
"Teemu Selanne"	0.1542
"Chris Chelios"	0.147973
"Rick Tocchet"	0.147224
"Pat Verbeek"	0.146671
"Jeff Friesen"	0.14444
"Greg Adams"	0.141471
"Pavol Demitra"	0.140844
"Jeremy Roenick"	0.140114
"Grant Marshall"	0.135062
"Kirk Muller"	0.133415
"Bill Guerin"	0.130773
"Gary Roberts"	0.128989
"Dallas Drake"	0.127659
"Pavel Bure"	0.127235
"Adam Deadmarsh"	0.12722
"Paul Kariya"	0.126693
"Dave Reid"	0.121702
"Tony Amonte"	0.121693
"Dixon Ward"	0.121448
"John LeClair"	0.121441
"Jaromir Jagr"	0.121102
"Brad Isbister"	0.120609
"Steve Heinze"	0.117619
"Luc Robitaille"	0.117417
"Blake Sloan"	0.11659
"Landon Wilson"	0.116517
"Rob DiMaio"	0.116283
"Jamie Langenbrunner"	0.116016
"Gabe Muoneke"	0.114935
"Christian Laettner"	0.11475
"Ted Donato"	0.114461
"Theo Fleury"	0.114082
"Joe Sakic"	0.113018
"Steve Duchesne"	0.112462
"Keith Tkachuk"	0.112084
"Valeri Kamensky"	0.111013
"Tamika Catchings"	0.109103
"Ken Belanger"	0.107995
"Jere Lehtinen"	0.107912
"Mike Keane"	0.10706
"Jarvis Turner"	0.105157
"P.J Axelsson"	0.105137
"Hu Weidong"	0.104872
"Michael Wright"	0.104445
"Kevin Freeman"	0.103062
"Alexei Kovalev"	0.102791
"Niklas Sundstrom"	0.102354
"Keith Primeau"	0.101853
"Patrik Elias"	0.101844
"Brian Scalabrine"	0.10169
"Milan Hejduk"	0.101229
Yzerman	0.100451
"Stern John"	0.0994356
"Matthew Barnaby"	0.0985885
"Richard Jefferson"	0.0983209
"Steve Thomas"	0.0980807
"Scott Thornton"	0.0979311
"Chris Carrawell"	0.0979054
"Jay Pandolfo"	0.0975974
"Shannon MacMillan"	0.0967684
"Brett Hull"	0.0963159
"Doug Weight"	0.096285
"Brenden Morrow"	0.0945793
"Raef LaFrentz"	0.0941015
"Grant Long"	0.0931967
"Peter Forsberg"	0.0929732
"Benoit Hogue"	0.0924537
"Dale Davis"	0.0921499
"Shane Battier"	0.0916927
"Chris Drury"	0.09111
"Alan Henderson"	0.0910787
"Grant Hill"	0.0892297
"Kenyon Martin"	0.089207
"Todd Harvey"	0.0888944
"Lamond Murray"	0.0886965
"Claude Lemieux"	0.0882787
"Mark Madsen"	0.0880311
"Guy Carbonneau"	0.0878647
"Chris Gatling"	0.0878478
"Ante Razov"	0.0874214
"Anson Carter"	0.0871046
"Rodney Rogers"	0.0869217
"Shane Doan"	0.086852
"Derrick Coleman"	0.0867837
"Sergei Samsonov"	0.0866455
"Doug Gilmour"	0.0857633
"Sam Clancy"	0.0857468
Samuelsson	0.0856505
"P.J Brown"	0.0856492
"Chris Porter"	0.085393
"Alexander Mogilny"	0.0848552
"Predrag Mijatovic"	0.0848054
"J.R Reid"	0.0844965
"Donald Audette"	0.0842784
"Al MacInnis"	0.0842552
"Bobby Phills"	0.0842183
"Othella Harrington"	0.08378
"Hao Haidong"	0.0837334
"Brian McBride"	0.0832228
"Aaron Gavey"	0.0825198
"Keith Jones"	0.0825052
"Nelson Emerson"	0.0822415
"Adam Oates"	0.0818676
"DeLisha Milton"	0.0809591
"Ziggy Palffy"	0.080707
"Maurice Taylor"	0.0804583
"Corliss Williamson"	0.0803393
"Theo Ratliff"	0.0802778
"Marcus Fizer"	0.0802414
"Harry Kewell"	0.0792698
Hlavac	0.0789154
"Craig Johnson"	0.0783544
"Jason Kapono"	0.0783399
"Tiffeny Milbrett"	0.0781627
"Morris Peterson"	0.0779678
"Joe Juneau"	0.0778928
"Cedric Ceballos"	0.0778704
"Sheryl Swoopes"	0.0772493
"Khodadad Azizi"	0.0771584
Fedorov	0.0769016
"Chris Crawford"	0.0768864
"Ron Francis"	0.0767007
"Vladimir Tsyplakov"	0.0766668
"Mike Miller"	0.0763669
"Owen Nolan"	0.0763463
"Kenny Thomas"	0.0763273
"Jerome Kersey"	0.0762794
"Sun Wen"	0.0759453
"Shawn Kemp"	0.0757873
"Donyell Marshall"	0.075662
"Tyrone Nesby"	0.075441
"Juwan Howard"	0.0752237
"Norm Maracle"	0.0751255
"Brian Grant"	0.0748142
"Scotty Bowman"	0.0745153
"Keith Van Horn"	0.0743628
"Horace Grant"	0.0742855
"Kris Clack"	0.0741196
"Michael Finley"	0.0740163
"Shawn Marion"	0.0739994
"Austin Croshere"	0.0735784
"Cindy Parlow"	0.0732599
"Danny Fortson"	0.0730086
"Cliff Ronning"	0.0727246
"Mark Messier"	0.0726439
"Shareef Abdur-Rahim"	0.0726196
"Eric Lindros"	0.0726165
"Brian Skinner"	0.0724704
"Jumaine Jones"	0.0723367
"Clarence Weatherspoon"	0.0723248
"Glen Murray"	0.0723218
"Luis Figo"	0.0722945
"SCOTT BURRELL"	0.0721315
Selanne	0.0720802
"JaRon Rush"	0.0719786
"Wally Szczerbiak"	0.0717923
"Jamal Mashburn"	0.0717601
"Samaki Walker"	0.0715914
"Gary Trent"	0.071383
LeClair	0.0712237
"Walt Williams"	0.0711593
"Ray Bourque"	0.0708274
"Donald Brashear"	0.070363
"ZIGMUND PALFFY"	0.0701901
"Ian Wright"	0.070143
"Steve Rucchin"	0.0698281
"Matt Johnson"	0.069774
"Marc Overmars"	0.0695665
"Alexei Yashin"	0.069243
"Joe Smith"	0.0691692
"Hidetoshi Nakata"	0.0691113
"Ivan Zamorano"	0.0690358
"Joe Nieuwendyk"	0.0688235
"Antawn Jamison"	0.0687987
"Rick Fox"	0.0687645
"Vin Baker"	0.0687407
"Miroslav Satan"	0.0680811
"Clifford Robinson"	0.0680275
"Bob Corkum"	0.0679378
"Rashard Lewis"	0.0678324
"Alen Boksic"	0.0677143
"Matt Bullard"	0.0676255
"Raul Gonzalez"	0.0674561
"Rico Hines"	0.067397
"Chris Mills"	0.0673152
"Scott Stevens"	0.0669717
Roenick	0.0669179
"Matt Harpring"	0.0669006
"Sergei Zubov"	0.0668609
))
("Brenden Morrow" (desc 1533.69) (sims
"Scott Thornton"	0.381644
"Kirk Muller"	0.35401
"Blake Sloan"	0.344879
"Aaron Gavey"	0.337749
"Jere Lehtinen"	0.330348
"Jon Sim"	0.295363
"Grant Marshall"	0.264575
"Benoit Hogue"	0.243942
"Mike Keane"	0.23434
"Pat Verbeek"	0.232762
"Jamie Langenbrunner"	0.229261
"Guy Carbonneau"	0.228073
"Joe Nieuwendyk"	0.226735
"Richard Matvichuk"	0.226041
"Mike Modano"	0.199573
"Darryl Sydor"	0.199133
"Brett Hull"	0.186552
"Derian Hatcher"	0.180901
"Dave Reid"	0.179857
"Sergei Zubov"	0.177809
"Brian Skrudland"	0.167284
"Manny Fernandez"	0.14964
Langenbrunner	0.148824
"Greg Adams"	0.146461
"Tony Amonte"	0.145732
"Shawn Chambers"	0.125457
"Geoff Sanderson"	0.122533
"Milan Hejduk"	0.121883
"Tony Hrkac"	0.118562
"Ed Belfour"	0.115072
"John Avery"	0.1149
"Pavol Demitra"	0.113967
"Theo Fleury"	0.112632
"Craig Ludwig"	0.11062
"Ryan Giggs"	0.110527
Nieuwendyk	0.109236
Lehtinen	0.107273
Modano	0.107241
"Ziggy Palffy"	0.106807
"Luc Robitaille"	0.106351
"Ted Donato"	0.105867
"Dallas Drake"	0.105775
"Shawn Marion"	0.104703
"Chris Drury"	0.103604
"Alexander Mogilny"	0.102005
"Luis Figo"	0.100902
"Curtis Enis"	0.0979119
"Keith Tkachuk"	0.0978923
"Jumaine Jones"	0.0974966
"Craig Johnson"	0.0972964
"Raef LaFrentz"	0.0961102
"Nelson Emerson"	0.0961091
"Leon Smith"	0.0960222
"Landon Wilson"	0.095505
"Brendan Shanahan"	0.0945793
"Derek Plante"	0.0939474
"Jeff Friesen"	0.0936712
"Gary Roberts"	0.0930494
"Todd Harvey"	0.0916575
"Champ Bailey"	0.0896317
Matvichuk	0.0896225
"Kevin Williams"	0.0892414
"Courtney Alexander"	0.0888402
"Matthew Barnaby"	0.0887882
"Dwayne Goodrich"	0.0886128
"Keith Brooking"	0.0884757
"Kenny Thomas"	0.087738
"Patrik Elias"	0.0876876
"Cliff Ronning"	0.0857739
"Dave Andreychuk"	0.0849171
"ZIGMUND PALFFY"	0.0848366
"Michael Dickerson"	0.0848234
"Thomas Jones"	0.0843207
"Wendel Clark"	0.0840325
"Jaromir Jagr"	0.0839488
"Brian Laudrup"	0.0829306
"Flozell Adams"	0.0829227
"Steve McManaman"	0.082842
"Niklas Sundstrom"	0.0827785
"Al Harrington"	0.0826265
"Scott Gomez"	0.0820846
"Dirk Nowitzki"	0.0819611
"Peerless Price"	0.0813724
"Ebenezer Ekuban"	0.0812195
"Ken Hitchcock"	0.0811944
"Sergei Samsonov"	0.0811461
"Paul Kariya"	0.0808561
"Lee Nailon"	0.0808513
"Roman Turek"	0.0806784
"Devean George"	0.0796293
"Tyronn Lue"	0.0795661
"Chamique Holdsclaw"	0.0795518
"Patrik Stefan"	0.0794254
"Michael Myers"	0.0783367
"Mike Sullivan"	0.0783019
"Edgerrin James"	0.0782018
"Wally Szczerbiak"	0.0780873
"Robert Edwards"	0.0778457
"Harry Kewell"	0.0777822
"Jamal Lewis"	0.0775261
"L.J Shelton"	0.0775082
"Valeri Kamensky"	0.0774186
"David Boston"	0.0772355
"Greg Ellis"	0.0769667
Hlavac	0.0766096
Briere	0.0765155
"Robert Pires"	0.0762332
"Vladimir Tsyplakov"	0.0755033
"Marc Overmars"	0.0754146
"Trung Canidate"	0.075368
"Kenyon Martin"	0.0752706
"J.R Redmond"	0.0751754
"Kevin Faulk"	0.0749544
"P.J Axelsson"	0.0749171
"Bill Guerin"	0.0745024
"Pat Burrell"	0.0740601
"Matt Johnson"	0.0736593
"Paul Pierce"	0.0735266
"Tony Dorsett"	0.073443
"Todd Husak"	0.0733112
"Fred Taylor"	0.0731422
"Skip Hicks"	0.0731414
"Dixon Ward"	0.0731178
"Darren McCarty"	0.0729434
Andreychuk	0.072914
"Mario Lemieux"	0.0728245
"Glen Murray"	0.0727401
"Doug Gilmour"	0.0723912
Verbeek	0.0723839
"Matt Harpring"	0.0723811
Zubov	0.0723356
"Ed Yarnall"	0.0721353
"Manny Malhotra"	0.072089
"Keith Jones"	0.0716856
"Pat Garrity"	0.0714931
"Solomon Page"	0.0714891
"Donald Audette"	0.0713054
"Wane McGarity"	0.0712832
"Andre Wadsworth"	0.0711237
"Jeremy Roenick"	0.0710591
"Tim Dwight"	0.0707699
"Steve Thomas"	0.0702754
"Mark Tuinei"	0.0702626
"Dejan Savicevic"	0.0701785
"Rashard Lewis"	0.0694714
"Dez White"	0.0693492
"Ken Belanger"	0.0691755
"J.D Drew"	0.0690422
"Cuttino Mobley"	0.0690267
"Brett Hinchliffe"	0.0686373
"Tony Simmons"	0.0685054
Kariya	0.0683633
"Teemu Selanne"	0.0680688
"Tebucky Jones"	0.0678947
"Damien Woody"	0.0676875
"Mike Brown"	0.0673172
"Mark Recchi"	0.0672357
Juninho	0.0671755
"Jeff Weaver"	0.0670635
"Brad Isbister"	0.0670159
axelsson	0.0668345
"Cecil Collins"	0.0663906
"Shammond Williams"	0.0662255
"Ronald de Boer"	0.0661653
"Wilton Veras"	0.0657808
"Mario Edwards"	0.0657742
"Claude Lemieux"	0.0655649
"Toby Bailey"	0.0651716
"Manny Legace"	0.0651119
"Donnie Sadler"	0.0649044
"Michael Booker"	0.0647098
"Pavel Bure"	0.0646259
"Shaun Alexander"	0.0643711
"Bruce Aven"	0.0643219
"Ephraim Salaam"	0.0642091
"Rick Tocchet"	0.0640016
Niedermayer	0.0637356
"Rebecca Lobo"	0.0635771
Carbonneau	0.0635102
"Jason Terry"	0.0632816
"JEVON KEARSE"	0.0630199
"Peter Forsberg"	0.0627484
"Chris Porter"	0.062747
"Predrag Mijatovic"	0.0623993
"Sebastian Janikowski"	0.0622979
"Rob DiMaio"	0.0621323
"Torry Holt"	0.0620203
"Owen Nolan"	0.0618856
"Ron Francis"	0.0617991
"Charles Woodson"	0.0616462
"Clint Mathis"	0.061368
"Jason Fabini"	0.0613502
"Tony George"	0.0612878
"Sergei Fedorov"	0.0610945
"Bruce Chen"	0.0610808
"Adam Deadmarsh"	0.0609901
"Andre Miller"	0.0608967
"Brian Skinner"	0.0606559
"Bonzi Wells"	0.060642
Moeller	0.0605959
))
(Brennan (desc 5710.51) (sims
Arbour	0.108829
Abernathy	0.0970092
hodgson	0.095942
Cline	0.0902156
Berenson	0.0893097
Mikhailov	0.0888481
Mcbride	0.0886085
Trevi	0.0871424
Kurtz	0.0871379
Blackmun	0.0861458
Menchu	0.0851551
Rivlin	0.0838776
Finkel	0.0837064
Merlino	0.0824322
Rosen	0.0822629
Lileikis	0.0815725
leeson	0.0813584
Carruth	0.0813464
Farrell	0.080012
Pirro	0.0798909
Copeland	0.0797733
Rosenthal	0.0796645
Shulman	0.0793754
Kagalovsky	0.0793233
Kirkpatrick	0.0791844
Ghani	0.079052
Dwyer	0.0786158
Madden	0.0786014
Hensley	0.0780843
Hanna	0.0780618
Wiggins	0.0776618
Kopp	0.077581
Flores	0.0774811
McKinney	0.0774542
Geiger	0.0773735
Farley	0.0771978
Paciello	0.0768631
Hamlin	0.0767147
Verney	0.0766643
LeFave	0.0763635
Lundy	0.0762444
McWilliams	0.0757943
Soliah	0.0756759
Olson	0.0754971
Priebke	0.0751268
Echols	0.0748132
Frankel	0.0747684
Gritz	0.0747323
Bowers	0.0746999
Davidson	0.0746341
Dowd	0.0746087
Brownlee	0.0746069
Greenwald	0.0745514
Fagan	0.0743213
Blackthorne	0.0742754
Cleary	0.074216
Farris	0.0740435
Hsia	0.073934
Valenzuela	0.0739323
Knapp	0.0738735
Lipstadt	0.0738626
Morrison	0.0736278
Boyle	0.0734729
Barrionuevo	0.0730328
Keenan	0.0726969
Farber	0.0725953
Coelho	0.0723286
Jelisic	0.0722952
Sheehy	0.0722926
Webster	0.0721876
Lacresha	0.0721838
Haouari	0.0721806
Ruggiero	0.0721226
McFadden	0.071947
Hirsch	0.0718804
Hersh	0.0718226
Schiller	0.0717706
Stayner	0.0710644
Brock	0.0710372
DeFrantz	0.0709241
Neal	0.0708897
Nasrin	0.0706146
Sato	0.0703893
Torres	0.0702285
Faget	0.0702228
Steele	0.0701645
Gotti	0.0700422
Ackerman	0.0700315
Sullivan	0.0699323
Whaley	0.0697898
Advani	0.0695564
Shinn	0.0695462
Gutman	0.0695267
Ono	0.0692992
Symington	0.0692764
McDonnell	0.0691903
Oliveira	0.0691369
Berman	0.0690969
Welch	0.0689311
Meehan	0.0688472
Kaczynski	0.0687841
Patten	0.0687688
Chu	0.0686399
Sharma	0.0684344
Garofalo	0.0681507
Sakic	0.0680574
"Russell Peeler"	0.0679813
Larson	0.0677749
Merritt	0.0676975
Powell	0.0676788
Gannon	0.067644
Meissner	0.0673908
Haskins	0.0673017
Rideau	0.067243
Garza	0.0671257
Hanley	0.0671189
Musa	0.0671124
Hatfield	0.0669637
Karbaschi	0.0669545
Macdonald	0.0668965
Keating	0.0668444
Hagen	0.0667726
Hickman	0.0667318
Jensen	0.0665397
Birnbaum	0.0664146
Posner	0.0662245
Horne	0.0661755
Abram	0.0661332
Hartley	0.0661324
Verniero	0.0661204
Tilberis	0.0661183
Egan	0.0661058
Akayesu	0.0660725
Bisek	0.0660601
Fuentes	0.0659401
Koehler	0.0658919
Lugo	0.0657849
Townsend	0.06565
Garber	0.0656227
Pruett	0.0655606
Lundberg	0.065521
HELLER	0.0654677
Villanueva	0.0654149
Baez	0.0654106
Shays	0.0653557
Muller	0.0653294
O'Sullivan	0.0652568
GAGE	0.0651576
Bhutto	0.0651414
"El Hage"	0.0651188
Baum	0.064947
Holloway	0.064939
Papon	0.0648087
Abraham	0.0647807
Tran	0.064732
Sykes	0.064604
Hecht	0.0645799
Nunez	0.0645337
Quackenbush	0.064533
Reyes	0.0645284
Portnoy	0.0645
"Raul Salinas"	0.0644228
Peters	0.0643636
Northup	0.0642952
Salinas	0.0642068
FitzPatrick	0.0641651
Siegel	0.0641578
Schott	0.0641495
Barbour	0.0641459
Ruehe	0.0640933
Woodward	0.0640802
McDaniel	0.0639797
Rosenberg	0.0639628
Ricart	0.0639367
Amato	0.0639358
bock	0.0638932
Fiorina	0.0638321
Buckley	0.0637822
noone	0.0636109
Mustafa	0.0635578
Stahl	0.0635475
Wasserstein	0.063417
Brunner	0.0632234
Goldstein	0.0632068
Berlusconi	0.0631967
McVeigh	0.0631587
Kodikian	0.0631573
Diaz	0.0631528
Shapiro	0.0631222
Rubinstein	0.0630724
hale	0.0630399
Mullen	0.0629742
Levine	0.0629239
Gallagher	0.0629127
Flaherty	0.0628697
Walsh	0.0628606
Barker	0.0628574
McMillan	0.0628224
Friedman	0.0628012
Zamora	0.0627579
))
(Brenner (desc 1874.18) (sims
Hahn	0.161075
Fleischer	0.126421
Piot	0.118876
Postol	0.11662
Molinari	0.11605
Weil	0.115941
Donohue	0.11568
Weiner	0.114002
Lehane	0.112971
McDonnell	0.111011
Rivlin	0.107348
Lowry	0.107032
Waxman	0.106583
Pierson	0.105577
Goldin	0.105188
Jaffe	0.10498
McConnell	0.104413
Kirkpatrick	0.103956
Vogel	0.103443
Rubenstein	0.102195
Markovic	0.101864
Meissner	0.101795
Feng	0.100455
Rosenthal	0.100023
Tuttle	0.0990034
Venter	0.0969282
Arron	0.0968618
Farber	0.0964397
Rowley	0.0957893
COYNE	0.0952944
Cline	0.0950798
Zuckerman	0.0950552
Hecht	0.0948653
Kurtz	0.0947117
Valenti	0.0946359
Grunwald	0.0934564
Cui	0.0932335
Knapp	0.0931723
DeFrantz	0.0927079
Sheehan	0.092436
Wan	0.0922664
Heinrichs	0.0921824
Rubinstein	0.0916763
Rais	0.0914316
Cleary	0.0913533
McCurry	0.091118
Ferrer	0.0910112
Northup	0.0907259
Ruehe	0.0906654
Fiorina	0.0901453
Felton	0.0899991
McFadden	0.0897466
Tharp	0.0896999
Brundtland	0.0895484
"Joe Lockhart"	0.089515
Ebersol	0.0895064
Farley	0.0894482
Murad	0.0892202
Barad	0.0891137
Kasoulides	0.0889888
Cai	0.0889391
Merritt	0.0888907
Crowley	0.0888589
Nadler	0.0887953
Duffy	0.0884174
Weinberg	0.087855
Moakley	0.0878062
Barlow	0.087623
Goldstein	0.0874517
Hartsburg	0.0873719
Allard	0.0871493
Cohn	0.086908
Mahoney	0.0863365
Wald	0.0862112
Lipstadt	0.0861799
Singson	0.0860593
Harkin	0.0860274
Rossotti	0.0858265
Hevesi	0.0858261
Schaeffer	0.0855461
Solis	0.0855133
Schmitt	0.0854139
Newhouse	0.0854097
Friedman	0.085108
Malu	0.0850464
Insulza	0.085035
Bellamy	0.0850166
Menchu	0.0848812
O'Sullivan	0.0848371
Silverstein	0.0847533
Gullikson	0.0847412
Schafer	0.0846492
Davidson	0.0846432
Passarella	0.0846263
Atkinson	0.084548
Hauser	0.083953
Muir	0.0838369
Baer	0.08375
Simons	0.083733
Greenwald	0.0835457
Satcher	0.0832787
Shamshad	0.0832655
Copeland	0.083225
Finkel	0.0830412
Jeffers	0.0830404
Rutherford	0.0827147
Berman	0.0827031
Briscoe	0.0825735
Gaffney	0.0822233
Zucker	0.0822129
Gilman	0.0821479
Marchand	0.0820554
Lange	0.0819606
Seltzer	0.0814794
Mucha	0.0813184
Roberson	0.0812757
Shriver	0.0812031
O'Connell	0.0811756
Hamlin	0.0808582
Jamison	0.0805892
Fay	0.080393
McCabe	0.0801096
Edson	0.0800218
Sheehy	0.0799157
Mandella	0.0796144
Haines	0.0793791
Baugh	0.0791718
Levine	0.0787757
Taymor	0.0787233
Hirsch	0.0787174
Beilin	0.0786467
"administration official"	0.0785945
Moonves	0.0784377
"David Jones"	0.078172
Farrell	0.0781377
Kaye	0.0781367
Arbour	0.0781115
Pape	0.0779611
Meehan	0.077936
Ogata	0.0779231
Prewitt	0.0778789
Liang	0.0778404
Hartley	0.0778378
Burleigh	0.0777729
Kern	0.0777111
Ono	0.0776936
Grossman	0.0776482
Dowd	0.0775753
Shapiro	0.0774802
Sorensen	0.0774439
Wolff	0.0772605
Ikimi	0.0771833
Hiddink	0.077071
Pearce	0.0770287
Henley	0.0769788
Freedman	0.0769596
"Larry Sabato"	0.0769548
Mckee	0.0768154
Finney	0.0767906
Jayakumar	0.0766555
Woodard	0.0766057
McDaniel	0.0765334
Posner	0.0764572
Betts	0.0763723
Surin	0.0763368
Harman	0.0763357
Sperling	0.0762628
Solich	0.0761682
Scruggs	0.0761596
Yastrzhembsky	0.0761594
Xiao	0.0761567
Gillespie	0.0761091
Sato	0.0759169
Mott	0.0757952
Hyman	0.0756712
singleton	0.0756701
D'Alessandro	0.075666
Rove	0.0756501
Feldman	0.0756398
Sassa	0.0756114
Carmichael	0.0755188
Lehrer	0.0754655
Bowen	0.075431
Ackerman	0.0753589
Zheng	0.0753402
Franz	0.0752716
Cink	0.0752516
Cao	0.0751333
Leavitt	0.0751297
Rosenbaum	0.0750706
Seligman	0.0750397
Jensen	0.0749955
Janssen	0.0749186
Okada	0.0746837
Britton	0.0746816
Boyle	0.0744741
Morse	0.0743184
Duvall	0.0742139
Conroy	0.0741802
Levin	0.0741601
))
(Brent (desc 5537) (sims
Brett	0.0923105
Jamie	0.0811046
Anthony	0.0798703
Jeb	0.079682
Ian	0.0758244
Ronald	0.0751747
Josh	0.0744239
Justin	0.0730121
Jeffrey	0.070027
Gerald	0.0698748
Jonathan	0.0695874
Paul	0.0683718
Carl	0.0675906
Matthew	0.0674685
Richard	0.0673008
Reggie	0.0671591
Brian	0.0666199
Benjamin	0.066493
Ben	0.0664059
Alan	0.0662016
Tim	0.0660038
Liam	0.0654761
Steven	0.0651072
Keith	0.0648648
Theo	0.0645592
Kevin	0.0639117
Philip	0.0637399
Jeremy	0.06362
Michael	0.0634489
Walter	0.0632139
Patrick	0.0631152
Larry	0.063105
Stephen	0.062656
Kenny	0.0624234
Andrew	0.0623446
Vladimir	0.062128
Jason	0.0620414
David	0.0615181
Darren	0.0612767
Eric	0.060997
Greg	0.0609451
matt	0.0608275
Danny	0.0606624
Andre	0.0602966
Craig	0.0602654
Samuel	0.0601458
Gary	0.0600883
Samuelson	0.0595247
Steve	0.0594717
Dennis	0.0594545
nick	0.0588898
Trevor	0.058782
Roger	0.0585818
Christopher	0.0584553
Brock	0.0583853
Daniel	0.0581442
Marc	0.0580198
Rene	0.0579997
Charles	0.0579647
Manuel	0.0578506
Adrian	0.0578473
Dave	0.0575582
Jacob	0.0575392
Garrity	0.0574277
"FTSE @@@"	0.0573518
mike	0.0572525
Byron	0.0572462
Nikkei	0.0572258
Sean	0.0571411
Todd	0.0568317
Joey	0.0567715
Marvin	0.0565267
Hans	0.0565256
Brad	0.0563469
Randy	0.0563185
Mario	0.0557989
"Nikkei Stock Average"	0.055602
Rifaat	0.0554909
Juan	0.0552882
Albert	0.055282
Donald	0.055252
"Earl Spencer"	0.0551288
Sheehan	0.055066
Robbie	0.0549865
Edward	0.0549229
Terry	0.054832
Evan	0.0548217
Ralph	0.0546778
Gillom	0.0545685
jay	0.0545532
Doug	0.0545436
Cody	0.0545348
Phillip	0.0545083
Geiger	0.0544521
Julian	0.0543085
Robert	0.054298
Cory	0.0541846
Ernie	0.05411
Karl	0.054083
Chris	0.0539859
tom	0.0539626
Forrest	0.0538559
Miguel	0.0537875
Jerry	0.0537832
Ramon	0.0537756
Derek	0.0537115
Hugh	0.0535793
Noel	0.0533005
Harold	0.0532819
Barry	0.0532147
Gabriel	0.0529886
Jim	0.0529511
Jeff	0.052936
Maurice	0.0529033
Marty	0.0526815
Stephanie	0.0526051
Casey	0.0525633
Ken	0.0525495
Gerard	0.0524518
Adam	0.0524512
James	0.0523555
"Straits Times Index"	0.0521648
Jake	0.0521646
Bruce	0.0521164
Anton	0.0519051
Shawn	0.0518505
Joel	0.0515422
Raul	0.0515398
Fred	0.0512187
William	0.0512017
Nicolas	0.0511939
Felix	0.050969
"George W."	0.0509051
Ted	0.0508147
Joseph	0.0507701
Michel	0.0507393
Dom	0.0502086
timothy	0.0500999
"North Sea"	0.0500651
Roberto	0.050062
Harry	0.0499922
Ed	0.0498469
Rick	0.0498322
Zachary	0.0493959
Louis	0.0493543
Eli	0.0492854
Aaron	0.0492242
Owen	0.0490787
"Hang Seng Index"	0.0489886
Wyatt	0.0488741
Kyle	0.048801
Marcus	0.0487982
Jose	0.0487811
Nicholas	0.0487122
Eddie	0.0486034
beamer	0.048531
Isaiah	0.04852
Carlos	0.0484944
Wayne	0.0484301
Atler	0.0483954
T.J	0.0483712
Billy	0.0483229
Fizer	0.0480443
Leo	0.0479891
Bobby	0.04792
Marinovich	0.047819
Kenneth	0.0477315
Tyler	0.0474782
"Straits Times Industrials Index"	0.0474074
Tuinei	0.0473245
Jimmy	0.0472764
Tony	0.0472614
Kazakh	0.047169
Bryan	0.0471513
Fernando	0.0470337
Polynice	0.0469586
Sealy	0.0467857
Johnny	0.0465865
Rowe	0.0465454
Andrei	0.0464401
becky	0.046115
Ashley	0.0460697
Burke	0.0460666
Gillespie	0.0460492
Runyan	0.046009
Raymond	0.0459897
Cameron	0.0459747
Herron	0.0459441
Mahmoud	0.0458016
Kumar	0.0457488
Joshua	0.0456761
Antonio	0.0456323
Postel	0.045622
Ivan	0.0454017
Luis	0.0453935
Krone	0.0453487
Curtis	0.0451966
Luke	0.0451894
Alex	0.0450725
Quigley	0.0449652
))
("Brent Barry" (desc 4013.92) (sims
"Vernon Maxwell"	0.237503
"Horace Grant"	0.230507
"Randy Brown"	0.207107
"Gary Payton"	0.180391
"Ruben Patterson"	0.179608
"Rashard Lewis"	0.178284
"Hersey Hawkins"	0.171416
"Terry Porter"	0.1681
"Voshon Lenard"	0.166344
"Ron Harper"	0.15735
"Toni Kukoc"	0.155838
"Detlef Schrempf"	0.152948
"Terrell Brandon"	0.152155
"Tim Hardaway"	0.150846
"Christian Laettner"	0.150382
"Mitch Richmond"	0.148362
"Nick Anderson"	0.148203
"B.J Armstrong"	0.147908
"P.J Brown"	0.147351
"Eric Piatkowski"	0.14531
"Vin Baker"	0.145107
"Greg Foster"	0.143844
"Bonzi Wells"	0.141906
"Bruce Bowen"	0.141349
"Otis Thorpe"	0.138849
"Brian Shaw"	0.138595
"Billy Owens"	0.136708
"Jamal Mashburn"	0.133587
"Dale Ellis"	0.131893
"Steve Kerr"	0.129905
"Dan Majerle"	0.129207
"Derrick Coleman"	0.129197
"Steve Nash"	0.128425
"Darrick Martin"	0.127989
"Tom Gugliotta"	0.124717
"Glen Rice"	0.121823
"Jelani McCoy"	0.119763
"Olden Polynice"	0.118839
"Derek Anderson"	0.117848
"Darrell Armstrong"	0.117818
"Cedric Ceballos"	0.117414
"Rick Fox"	0.115593
"Eric Snow"	0.114789
"Scottie Pippen"	0.114517
"Matt Geiger"	0.112294
"Shammond Williams"	0.112062
"Doug Christie"	0.111812
"Derek Fisher"	0.108773
"Eric Murdock"	0.107784
"Vlade Divac"	0.107313
"Jeff Hornacek"	0.106779
"Tyronn Lue"	0.104949
"Isaiah Rider"	0.102479
"Toby Bailey"	0.101637
"Lamond Murray"	0.10129
"Maurice Taylor"	0.100847
"Vladimir Stepania"	0.0999165
"David Wesley"	0.0997978
"Mookie Blaylock"	0.0996572
"Jason Kidd"	0.0992021
"Tariq Abdul-Wahad"	0.099113
"Jeff Trepagnier"	0.0986468
"Travis Knight"	0.0980489
"SCOTT BURRELL"	0.0977301
"Penny Hardaway"	0.0972512
"Shawn Kemp"	0.0962598
"Larry Hughes"	0.0959347
"Joe Kleine"	0.0947799
"Sherman Douglas"	0.0947294
"John Salley"	0.0935882
"Dominique Wilkins"	0.0932686
"Bill Wennington"	0.0931737
Kukoc	0.0930609
"Jerry Stackhouse"	0.0927904
"Chris Webber"	0.0926069
"Bob Sura"	0.0923895
"Brandon Granville"	0.0920785
"Jim Jackson"	0.0916904
"Mark Bryant"	0.0913197
"Ron Mercer"	0.0907834
"Robert Horry"	0.0906548
"Rodney Rogers"	0.090431
"Jason Williams"	0.0900006
"Steve Smith"	0.0889253
"Eddie Jones"	0.0884406
"Kerry Kittles"	0.0883328
"Anthony Johnson"	0.0873588
"Ray Allen"	0.0864042
"Dana Barros"	0.0859145
"Antonio McDyess"	0.0855178
"Rod Strickland"	0.0851005
"Luc Longley"	0.0831358
Mashburn	0.0829328
"Jim McIlvaine"	0.0828197
"Michael Redd"	0.0827866
"Kendall Gill"	0.0824111
"CORIE BLOUNT"	0.0823872
"Grant Hill"	0.0822445
"Lamar Odom"	0.0816078
"Corliss Williamson"	0.0813653
"Tyrone Nesby"	0.0807381
"Kevin Garnett"	0.0801944
"Austin Croshere"	0.0793099
"Jimmy Oliver"	0.0793006
"Alonzo Mourning"	0.0788047
"Shandon Anderson"	0.0785594
"Allan Houston"	0.0785247
"Rex Chapman"	0.0779134
"Reggie Miller"	0.077647
Payton	0.0775839
"Derek Harper"	0.0768925
"Nick Van Exel"	0.0760251
"Allen Iverson"	0.0758006
"Wayne Turner"	0.0752385
"Aaron Williams"	0.0752245
"Sam Cassell"	0.0750325
"Michael Finley"	0.0750279
"John Stockton"	0.0746544
"Mark Jackson"	0.0746358
"Matt Santangelo"	0.0743931
"Ron Francis"	0.074327
"Hubert Davis"	0.0742924
"Will Perdue"	0.0740152
"Anfernee Hardaway"	0.0735334
"Vitaly Potapenko"	0.073464
"Nikki McCray"	0.0728704
"Lorenzen Wright"	0.0726105
"Gregg Jefferies"	0.0721268
"Dickey Simpkins"	0.0721157
"Gary Trent"	0.0718486
"Kevin Johnson"	0.071557
"Jaren Jackson"	0.0711619
"George McCloud"	0.0710354
"Dennis Scott"	0.070699
"Bobby Phills"	0.0694854
"Brian Grant"	0.0694495
"John Wallace"	0.0690035
"Brevin Knight"	0.0686906
"Matt Maloney"	0.0681061
"Adrian Griffin"	0.067453
"Mario Elie"	0.0674371
"Tracy McGrady"	0.0669513
"Rich Becker"	0.0667716
"Cuttino Mobley"	0.066629
"Bryce Drew"	0.0666216
"Billy Knight"	0.0662346
"Everett McIver"	0.0656061
"Sam Mack"	0.065518
"John Starks"	0.0654234
"Damon Stoudamire"	0.0652521
"Karl Malone"	0.0648979
"Kobe Bryant"	0.0648468
"Elton Brand"	0.0647804
"Michele Timms"	0.0646913
"Hu Weidong"	0.0644877
"Ike Austin"	0.06424
"Kenny Anderson"	0.0641264
"Rasheed Wallace"	0.0639654
"A.C. Green"	0.0638977
"Teresa Weatherspoon"	0.0633183
"Keith Van Horn"	0.0632512
"Dave Wohlabaugh"	0.0630462
Pippen	0.0630082
"Arvydas Sabonis"	0.0629795
"Joe Smith"	0.0629649
"Jalen Rose"	0.062558
"Stephon Marbury"	0.0625316
"Vince Carter"	0.0624955
"Courtney Alexander"	0.0620861
Lue	0.0619759
"Travis Best"	0.0618616
"Cynthia Cooper"	0.0612969
"Doug Pederson"	0.0612467
Longley	0.0611633
"Dennis Rodman"	0.0608007
"Charlie Garner"	0.0606905
"Michael Dickerson"	0.0605977
Kidd	0.0602995
"Doug Gilmour"	0.0602942
"J.R Reid"	0.0602347
Lieberthal	0.060159
"Pat Meares"	0.0599905
"Shawn Marion"	0.0599584
"Antoine Walker"	0.0596224
"Dion Glover"	0.0592676
Weatherspoon	0.0592672
"Theo Fleury"	0.05899
Maxwell	0.0589096
Nowitzki	0.0587901
"Butch Huskey"	0.0586907
Hawkins	0.058677
"Ray Young"	0.0584681
Artest	0.0584166
"Cliff Ronning"	0.058367
"Cliff Robinson"	0.0582612
STALEY	0.0581596
"Charlie Ward"	0.0580514
"Heath Irwin"	0.0578779
"Anthony Mason"	0.0578721
"Howard Eisley"	0.0577397
))
("Brent Jones" (desc 1545.02) (sims
"Marcus Allen"	0.200699
"Joe Montana"	0.162157
"Jerry Rice"	0.159288
"Terrell Owens"	0.138146
"Jeff Garcia"	0.136492
"Bill Walsh"	0.117783
"Ronnie Lott"	0.117098
"Kyle Brady"	0.11043
"Mike Holmgren"	0.108391
"Garrison Hearst"	0.104384
"Bryant Young"	0.104251
"Carmen Policy"	0.103827
"J.J Stokes"	0.103083
"George Seifert"	0.101584
"Ty Detmer"	0.0945072
"Phil Simms"	0.0874449
"Ozzie Newsome"	0.0859536
"Mike Shanahan"	0.0854513
"Steve Young"	0.0834946
"Damon Huard"	0.0790478
"Jackie Harris"	0.0783323
"John Taylor"	0.0767658
"Antonio Langham"	0.0709239
"Terrell Davis"	0.0667675
"Mike Jones"	0.0636683
"Bruce Matthews"	0.0618584
"Randall Cunningham"	0.0614405
"Lynn Swann"	0.0609022
"Eric Bjornson"	0.0605789
"Tony Dorsett"	0.0601119
"Dana Stubblefield"	0.0597496
"O.J Santiago"	0.0580681
"Jim Kelly"	0.0573235
"Brian Billick"	0.0572336
"Juwan Howard"	0.0566346
"David LaFleur"	0.0560039
"Wayne Chrebet"	0.0556793
"Dennis Johnson"	0.0543592
"Johnny Unitas"	0.0542763
"Shannon Sharpe"	0.0540667
"Thurman Thomas"	0.0537968
"Dom Capers"	0.0533653
"Kevin Williams"	0.0517089
"Michael Irvin"	0.0516987
"Walter Payton"	0.0513697
"Elvis Grbac"	0.051151
"Charles Haley"	0.050352
shipmate	0.0482753
housemates	0.046422
"Jim Druckenmiller"	0.0462999
"Lawrence Taylor"	0.0462216
"Steve Mariucci"	0.0452078
"Trent Dilfer"	0.0449626
punter	0.0428057
"Eric Snow"	0.0424995
"Al Groh"	0.0420043
Favre	0.041788
"Matt Geiger"	0.0412426
"Johnny Miller"	0.0411073
"Bill Walton"	0.0410639
"John Calipari"	0.0402788
))
("Brent Mayne" (desc 1479.78) (sims
"Rich Aurilia"	0.287937
"Einar Diaz"	0.24849
"J.T Snow"	0.243329
"Chris Widger"	0.237874
"Bobby Estalella"	0.227098
"Tom Lampkin"	0.21968
"Brook Fordyce"	0.212453
"Eddie Taubensee"	0.206422
"Kelly Stinnett"	0.205334
Vidro	0.202782
"Brian Johnson"	0.200428
"Tony Eusebio"	0.19774
"Paul Bako"	0.197621
"Russ Johnson"	0.196619
"Gregg Zaun"	0.195093
"Marvin Benard"	0.193585
"Charlie Hayes"	0.192631
"Todd Pratt"	0.191026
"Mark Kotsay"	0.190809
"Damian Miller"	0.187742
"Neifi Perez"	0.183217
Fullmer	0.182362
"Eric Owens"	0.176275
"Ellis Burks"	0.175411
Rolen	0.175379
"Bill Mueller"	0.17435
"Dante Bichette"	0.171715
"Ed Sprague"	0.170763
"Mike Sweeney"	0.170514
"Jeffrey Hammonds"	0.169617
"Brad Ausmus"	0.169142
"Eric Chavez"	0.168052
"Jeff Cirillo"	0.16775
"Luis Alicea"	0.167073
"Stan Javier"	0.163694
"Tyler Houston"	0.163207
"Mike Lansing"	0.161556
"Todd Helton"	0.160936
"Phil Nevin"	0.160732
"Wally Joyner"	0.160581
Randa	0.159166
"Rondell White"	0.158627
"Sandy Alomar"	0.158304
"Carlos Lee"	0.157089
"Bobby Higginson"	0.156416
"Bruce Aven"	0.15506
"Rey Sanchez"	0.154653
"Mark Loretta"	0.154616
"Mike Lieberthal"	0.154141
"Derrek Lee"	0.153869
"Lenny Harris"	0.153764
"Matt Lawton"	0.153055
"Matt Franco"	0.153016
"Mitch Meluskey"	0.152618
"Ron Coomer"	0.152369
"Scott Spiezio"	0.150514
"Matt Walbeck"	0.149624
"Ruben Rivera"	0.148729
"Chad Kreuter"	0.148327
Lankford	0.148139
"Jason Varitek"	0.147666
"David Ortiz"	0.147531
Burnitz	0.147172
"Dmitri Young"	0.146603
"Manny Alexander"	0.146243
"John Vander Wal"	0.14581
"Juan Encarnacion"	0.145272
"Jose Vidro"	0.144768
Spiers	0.143989
Lieberthal	0.143432
Bautista	0.143172
"Cristian Guzman"	0.143123
"Jim Leyritz"	0.142698
"Geoff Jenkins"	0.142551
"Tim Bogar"	0.142314
"Ray Lankford"	0.141753
"Bengie Molina"	0.140581
"Jeff Conine"	0.140301
"Scott Hatteberg"	0.140289
"Cliff Floyd"	0.14015
"Darryl Hamilton"	0.139765
"Todd Greene"	0.139041
"Herbert Perry"	0.138643
"Luis Castillo"	0.138174
"Darrin Fletcher"	0.137973
"John Mabry"	0.137337
"Ricky Gutierrez"	0.136594
Cirillo	0.135817
"Kevin Jordan"	0.135737
Varitek	0.135696
"Vinny Castilla"	0.135648
Aurilia	0.134198
"Tony Batista"	0.134066
"Melvin Mora"	0.132978
"Jason Kendall"	0.131738
"Warren Morris"	0.13125
"Jose Hernandez"	0.131209
"Joe McEwing"	0.130932
"Todd Walker"	0.130196
"Jamey Wright"	0.130038
"Dan Wilson"	0.129734
"Angel Pena"	0.129578
"Richard Hidalgo"	0.129049
"Jose Guillen"	0.129011
"Benny Agbayani"	0.128185
"Bill Spiers"	0.127954
"Deivi Cruz"	0.127503
"Preston Wilson"	0.126418
"Carlos Beltran"	0.126236
"Fred McGriff"	0.125784
"Ozzie Guillen"	0.125349
"Harold Baines"	0.124648
"Larry Walker"	0.123988
"Orlando Palmeiro"	0.1235
"Javy Lopez"	0.123283
"Greg Myers"	0.123247
"Corey Koskie"	0.12303
"Jose Valentin"	0.122592
"Damian Jackson"	0.122507
"Rico Brogna"	0.121447
"Bernard Gilkey"	0.120497
"Jorge Fabregas"	0.120422
"Andy Fox"	0.120353
"Mickey Morandini"	0.119442
"F.P Santangelo"	0.118967
"David Bell"	0.11882
"Dave Hansen"	0.118547
Abreu	0.118518
"Alex Gonzalez"	0.118241
"Rusty Greer"	0.117993
"Craig Counsell"	0.117957
"Brad Fullmer"	0.117138
"Luis Gonzalez"	0.116996
"Tony Graffanino"	0.116716
"Bobby Abreu"	0.116506
"Marquis Grissom"	0.116431
"Jose Vizcaino"	0.116221
"Adam Kennedy"	0.116015
"Doug Glanville"	0.115821
"Bubba Trammell"	0.114945
"CARLOS HERNANDEZ"	0.114882
Giambi	0.114733
"Joe Randa"	0.114608
"Paul Konerko"	0.114336
"Jeff Kent"	0.114104
"Scott Rolen"	0.114002
"Pat Burrell"	0.113986
Beltran	0.113208
Frye	0.113054
"Russ Davis"	0.113035
"Miguel Tejada"	0.112839
"Enrique Wilson"	0.112275
"Jermaine Dye"	0.112177
"Joe Girardi"	0.112022
"Jay Payton"	0.111896
"Glenallen Hill"	0.111637
"Miguel Cairo"	0.111564
"Quilvio Veras"	0.111498
"Devon White"	0.110668
"Paul LoDuca"	0.110246
Sexson	0.110198
"Mark McLemore"	0.109559
"Rob Ducey"	0.109548
Tatis	0.109193
"Mark Grudzielanek"	0.108758
"Michael Tucker"	0.108752
"Ray Durham"	0.108479
"Kevin Young"	0.108256
"Brian Hunter"	0.107844
"Travis Fryman"	0.107822
"Jason Giambi"	0.107411
"Greg Colbrunn"	0.107389
"Darren Lewis"	0.107321
Higginson	0.107187
"Mike Stanley"	0.107033
"Mike Benjamin"	0.106765
"Mark Johnson"	0.106758
"Bill Haselman"	0.106399
"Jeff Bagwell"	0.106187
"Desi Relaford"	0.105723
"Mike Lamb"	0.104885
"Butch Huskey"	0.10483
"Keith Lockhart"	0.104686
Lawton	0.10356
"Lee Stevens"	0.10306
"Dave Martinez"	0.10291
"Jay Bell"	0.102463
"Pat Meares"	0.102458
Fryman	0.102277
"Reggie Jefferson"	0.10211
"Matt Stairs"	0.102055
"Troy Glaus"	0.101769
"Robin Ventura"	0.101589
"Ben Grieve"	0.101258
"Charles Johnson"	0.100518
"Henry Rodriguez"	0.100219
"Craig Biggio"	0.099997
"Dean Palmer"	0.0996717
"Trot Nixon"	0.0996173
"Craig Paquette"	0.0995515
))
("Brent Price" (desc 2030.93) (sims
"Othella Harrington"	0.391504
"Matt Bullard"	0.344737
"Antoine Carr"	0.303335
"Michael Dickerson"	0.276053
"Cuttino Mobley"	0.245376
"Bryce Drew"	0.23787
"Matt Maloney"	0.209051
"Shareef Abdur-Rahim"	0.138433
"Kenny Thomas"	0.137208
"Howard Eisley"	0.136456
"Steve Francis"	0.136006
"Tariq Abdul-Wahad"	0.128572
"Charles Barkley"	0.123649
"Mike Bibby"	0.119313
"Mario Elie"	0.114983
"Brandon Granville"	0.112903
"Tony Massenburg"	0.110294
"Voshon Lenard"	0.109778
"Sherman Douglas"	0.100411
"Bimbo Coles"	0.100091
"Hakeem Olajuwon"	0.100052
"David Wesley"	0.0987894
"Mookie Blaylock"	0.0982933
"Brevin Knight"	0.0974742
"Robert Pack"	0.0962988
Olajuwon	0.094924
"Eric Snow"	0.0933761
"Sam Mack"	0.0931177
"Michele Timms"	0.0930835
"Wayne Turner"	0.0918001
"Clyde Drexler"	0.0884856
"Eric Murdock"	0.0858081
"Scottie Pippen"	0.0852944
"Anthony Johnson"	0.0802045
"Grant Long"	0.0798389
"Matt Santangelo"	0.0797932
"Shammond Williams"	0.0794481
"Jeff Hornacek"	0.0791879
"Travis Best"	0.0786618
"Kim Perrot"	0.0785273
"Darrick Martin"	0.07852
"Greg Anthony"	0.0774454
"Bobby Phills"	0.0757261
"Dawn Staley"	0.0756025
"Bonzi Wells"	0.075527
"Chauncey Billups"	0.0747483
"Sam Cassell"	0.0747
"Doug Christie"	0.0737728
"Tony Hutson"	0.0737695
"Walt Williams"	0.0726335
"Kris Clack"	0.0725644
"Nick Anderson"	0.0717712
"Vernon Maxwell"	0.0717112
"Earl Watson"	0.071675
"Terrell Brandon"	0.0714303
"Ukari Figgs"	0.0707633
"Kelvin Cato"	0.0693836
"Ed Gray"	0.0685665
Dickerson	0.0680676
"John Stockton"	0.0680023
"Andre Miller"	0.0676968
"Ryan Bailey"	0.0672587
"Rico Hines"	0.0664977
"Khalid El-Amin"	0.0664864
"Billy Knight"	0.0662054
"Darrell Armstrong"	0.0661766
"Teresa Weatherspoon"	0.0659022
"Kenny Anderson"	0.0655953
"Larry Hughes"	0.0655731
"Tim Hardaway"	0.0652224
"Bob Sura"	0.0651325
"Kevin Willis"	0.0649634
"B.J Armstrong"	0.0643667
"Jeff Trepagnier"	0.0642918
"Shandon Anderson"	0.0637956
"Eddie House"	0.0632139
"Hubert Davis"	0.0632089
"Damon Stoudamire"	0.0629496
"Penny Hardaway"	0.062909
"Scoonie Penn"	0.0628027
"Tyronn Lue"	0.0620884
"Derek Fisher"	0.061815
"Eric Piatkowski"	0.0617782
"Erick Barkley"	0.0610593
"Hersey Hawkins"	0.0601039
"Antonio Daniels"	0.0600269
"Gene Williams"	0.0589629
"Derek Harper"	0.0587469
"Rex Chapman"	0.058526
"Heath Irwin"	0.0580414
"Rod Strickland"	0.057943
"Michael Redd"	0.0578938
"Terry Porter"	0.0574827
"Ricky Moore"	0.0574051
"Steve Nash"	0.0571279
"William Avery"	0.0568747
"Dion Glover"	0.0564432
"Randy Brown"	0.0556938
"Keith Jones"	0.0556335
"Dana Barros"	0.0555019
"Jason Williams"	0.0554247
"Chris Childs"	0.0552231
"George McCloud"	0.0549593
"Nikki McCray"	0.0547932
"Mark Jackson"	0.0547435
"Eddie Jones"	0.0546556
"Avery Johnson"	0.0544504
"Rudy Tomjanovich"	0.0541616
"Pat Garrity"	0.0540694
"Michael Finley"	0.0536034
"Ray Young"	0.0535968
Mobley	0.0524902
"Ken Kocher"	0.0524027
"Jim Jackson"	0.0522087
"Mark Williams"	0.0514049
"John Starks"	0.0513671
"Charlie Ward"	0.0510185
"Nick Van Exel"	0.050853
"Kerry Kittles"	0.0505923
"Don Maclean"	0.0499177
"Rashard Lewis"	0.0494463
"Austin Croshere"	0.0492898
"Jason Terry"	0.0488322
"Derek Anderson"	0.0486877
"Jimmy Oliver"	0.0486112
"Kevin Johnson"	0.0483811
"Baron Davis"	0.0478728
"Courtney Alexander"	0.0476387
"Jaren Jackson"	0.0476098
"Sean Rooks"	0.0475904
"Malik Sealy"	0.0474165
"Steve Kerr"	0.0472995
"Joe Dumars"	0.0466952
"Bill Wennington"	0.0464317
"Bruce Matthews"	0.0462113
"Brian Shaw"	0.0455642
"Jerry Stackhouse"	0.0453285
"Brent Barry"	0.0452078
"Nate Newton"	0.0439119
"Doc Rivers"	0.0438394
"LaPhonso Ellis"	0.0435734
"Chris Carrawell"	0.0432486
Scoonie	0.0431424
"Ron Harper"	0.0431397
"Chris Dudley"	0.0426044
"Cynthia Cooper"	0.042518
"Matt Harpring"	0.0417801
"Todd Rucci"	0.0416813
"Manny Fernandez"	0.0412522
STALEY	0.0412448
"Solomon Page"	0.0411738
Hornacek	0.0409825
"Niklas Sundstrom"	0.0406525
"Mitch Richmond"	0.0401334
"Tracy McGrady"	0.0401323
))
("Brent Scowcroft" (desc 2297.08) (sims
"Zbigniew Brzezinski"	0.360989
"Samuel Berger"	0.360594
"Sandy Berger"	0.275086
"Anthony Lake"	0.246998
"Danny Yatom"	0.22123
"Condoleezza Rice"	0.198793
"Henry Kissinger"	0.194564
"James Baker"	0.176551
"Norman Schwarzkopf"	0.170994
"Alexander Lebed"	0.14982
"Gene Sperling"	0.136495
"Rahm Emanuel"	0.128
"Vladimiro Montesinos"	0.126662
"security adviser"	0.125854
"Paul Begala"	0.122428
"Colin Powell"	0.120314
"National Security Adviser Sandy Berger"	0.11467
"Karl Rove"	0.10928
"Karen Hughes"	0.109263
"Dore Gold"	0.10674
"David Bar-Illan"	0.104008
"George Stephanopoulos"	0.103455
"Mark McKinnon"	0.0999842
el-Baz	0.0987855
"Archbishop Desmond Tutu"	0.0986355
"Ahmed Tibi"	0.098228
"Harold Ickes"	0.0966763
"Sergei Yastrzhembsky"	0.0958867
"Hugh Shelton"	0.0957444
"John Shalikashvili"	0.0902444
"Defense William Cohen"	0.0875076
"Barry McCaffrey"	0.0864068
"Laura Bush"	0.0863693
"Yitzhak Molcho"	0.085617
"Bruce Lindsey"	0.0844776
"Dick Morris"	0.0834222
"Wesley Clark"	0.0831117
"Dick Cheney"	0.0802121
"John Weaver"	0.0782669
"Cyril Ramaphosa"	0.0780571
"Robert Rubin"	0.0770615
Berger	0.0766788
"Shelly Finkel"	0.0760544
al-Baz	0.0741898
"Vincent Foster"	0.0731218
"Warren Christopher"	0.0730345
"Bruce Teitelbaum"	0.0726109
"Sidney Blumenthal"	0.0712931
"Mary Matalin"	0.0707352
"Lee Hamilton"	0.0702286
"William Daley"	0.0695044
"Jaswant Singh"	0.0691249
"William Perry"	0.0679503
"Henry Shelton"	0.0679175
"Robert E. Rubin"	0.0666139
"Dan Schnur"	0.0660868
"Tony Coelho"	0.0659014
"William Cohen"	0.0647139
"Howard Baker"	0.0643286
"brigadier general"	0.0628233
Kissinger	0.0626457
"lieutenant general"	0.0616645
"John Podesta"	0.061564
"Margaret Thatcher"	0.0613609
"Andrew Young"	0.0607545
"Li Ruihuan"	0.0601804
"Sam Nunn"	0.0599115
"J.C. Watts"	0.0598541
"Julian Bond"	0.0596737
"Secretary of Defense"	0.0596173
Samuel	0.0591966
"Orlando Mercado"	0.0591022
Baz	0.0590554
"Lawrence Summers"	0.0588571
"Strobe Talbott"	0.0582115
"John Danforth"	0.0577056
"Kathleen Willey"	0.0576071
"Mike Murphy"	0.0575985
"Javier Solana"	0.0574312
"Henry H. Shelton"	0.0572299
"Mike McCurry"	0.0568122
"foreign service officer"	0.0563407
R-Ohio	0.0562712
Verney	0.0561635
"Jacqueline Kennedy Onassis"	0.0560795
"Bob Shrum"	0.0556953
"Valery Pustovoitenko"	0.0556818
R-Iowa	0.055523
"Koo Chen-fu"	0.0551862
"Terry McAuliffe"	0.0546218
"Marzuki Darusman"	0.0545234
"Russian Security Council"	0.0543741
"staff sergeant"	0.0542118
"James Carville"	0.0540449
"drug czar"	0.0539567
"William S. Cohen"	0.0534585
Ratliff	0.0531665
"campaign adviser"	0.0528732
"Elizabeth Dole"	0.0524251
"Susan Molinari"	0.0523072
"John Malone"	0.0522899
Finkel	0.0522353
"Joe Lockhart"	0.0520601
"Connie Mack"	0.0519532
Ivanov	0.0518085
speechwriter	0.0517492
"Lino Oviedo"	0.0517402
"Mickey Kantor"	0.051509
Isaias	0.0514338
"Vaclav Klaus"	0.0512064
"Alexis Herman"	0.050999
"Dan Glickman"	0.0507652
"Geraldine Ferraro"	0.0504148
"Dennis Ross"	0.0502583
"Roy Romer"	0.0501137
"Joseph Ralston"	0.0500314
"Wlodzimierz Cimoszewicz"	0.0498077
R-Del.	0.0497241
geophysicist	0.0496045
Brownback	0.0495037
"Yegor Stroyev"	0.0492569
"police lieutenant"	0.0491434
"Gary Bauer"	0.0490565
"Hugo Chavez"	0.0489993
"Fatos Nano"	0.0487966
"George Tenet"	0.0487448
"John Kasich"	0.0486568
"Carter Eskew"	0.0486073
"David Hale"	0.0484913
anesthesiologist	0.0484847
"surgeon general"	0.0484755
"aerospace engineer"	0.0482704
"Anatoly Chubais"	0.0478409
Rove	0.0476055
"Ralph Reed"	0.0475953
"Navy Seal"	0.0475949
"police captain"	0.0475703
"Mikulas Dzurinda"	0.0475616
"Lech Walesa"	0.0474437
"Frank Joklik"	0.0473943
"eye doctor"	0.0473898
"Michel Camdessus"	0.0473343
Monson	0.0473177
"lieutenant colonel"	0.0471084
Cornyn	0.0471031
"Warren Rudman"	0.0470946
"Bill Richardson"	0.0470575
R-N.H.	0.0469618
"Charles Dolan"	0.0469385
R-Alaska	0.0469271
Maj.-Gen.	0.0467233
"police sergeant"	0.046374
Zarb	0.0463408
"campaign official"	0.0463039
"Megawati Soekarnoputri"	0.0462606
R-Ky.	0.0460834
"Mitch McConnell"	0.0458558
"Frank Keating"	0.0457495
"Olusegun Obasanjo"	0.0456296
"Michael Portillo"	0.0456061
R-Mich.	0.045521
"Jim Nicholson"	0.0452458
Joklik	0.0450745
Leavitt	0.0450491
Naumann	0.0450105
Goss	0.0446557
Kasich	0.0443477
al-Hariri	0.0442195
Prabowo	0.0442084
bookkeeper	0.0440202
"Gerald Ford"	0.0439395
"Webster Hubbell"	0.0435482
Yitzhak	0.0434307
McGuinness	0.0434094
"political commissar"	0.0433899
Klerk	0.043313
"John Anderson"	0.0432403
"George Mitchell"	0.0432292
Tauzin	0.0431546
Alderson	0.0431487
"Sumner Redstone"	0.0430811
"Vernon Jordan"	0.0430054
"Omar Torrijos"	0.0428102
Blumenthal	0.0426483
R-Ariz.	0.0426151
"I.K Gujral"	0.0425719
"Patrick Buchanan"	0.0422658
Lt.-Gen.	0.0421302
"Yitzhak Mordechai"	0.0420469
"Gerald Levin"	0.0419642
"Rick Perry"	0.0419123
"newspaper editor"	0.0418592
"school superintendent"	0.0417881
"Daim Zainuddin"	0.0416878
"Igor Ivanov"	0.0416647
copywriter	0.041627
Profiler	0.0415676
"Bashkim Fino"	0.0415021
R-Wis.	0.0414796
"Callista Bisek"	0.0414468
))
(Brentwood (desc 2965.75) (sims
"Studio City"	0.176736
Riverdale	0.1693
Bridgehampton	0.162901
"Pacific Palisades"	0.157305
"Woodland Hills"	0.155977
"Hollywood Hills"	0.15468
Tarrytown	0.153009
"Sherman Oaks"	0.151733
"Thousand Oaks"	0.151685
Bensonhurst	0.151254
Kensington	0.150757
Englewood	0.149695
Tarzana	0.148303
"Culver City"	0.14778
Encino	0.146826
"La Jolla"	0.145261
"Simi Valley"	0.140612
"Westlake Village"	0.140551
"East Orange"	0.139719
"Bel Air"	0.139279
Chatham	0.139162
"East Hampton"	0.13904
"South San Francisco"	0.137987
"Palm Beach Gardens"	0.136945
"Mission Viejo"	0.135416
"Manhattan Beach"	0.133947
"Santa Monica"	0.133255
Montclair	0.1324
Westport	0.131047
"San Rafael"	0.130909
Cupertino	0.130055
Sausalito	0.130044
"Mill Valley"	0.12936
Malibu	0.128973
"San Mateo"	0.12891
"West Hollywood"	0.126246
oceanfront	0.125697
"Walnut Creek"	0.125582
Greenwich	0.125414
"Marin County"	0.125103
"Van Nuys"	0.123771
"Newport Beach"	0.123418
Braintree	0.123134
"Paradise Valley"	0.122741
Calabasas	0.122483
Sunnyvale	0.121693
"Saratoga Springs"	0.121665
"Hyde Park"	0.120705
Dunwoody	0.120601
"El Segundo"	0.120518
Carlsbad	0.120148
"Delray Beach"	0.120111
Chappaqua	0.119545
BRIGHTON	0.11948
Fremont	0.119099
Carmel	0.118489
Rockville	0.117744
"Garden City"	0.11691
Buckhead	0.115799
"Little Havana"	0.11398
Norcross	0.113972
Oxnard	0.113826
"Beverly Hills"	0.113623
Morristown	0.113197
"North Hollywood"	0.112747
oceanside	0.112411
Bethesda	0.112338
"Union City"	0.112285
Reseda	0.112187
Emeryville	0.111696
"Long Island City"	0.111462
Plano	0.110531
Alpharetta	0.109797
"Granada Hills"	0.109776
"San Carlos"	0.109724
"Silver Spring"	0.109616
Chatsworth	0.10916
"Huntington Beach"	0.109104
"Forest Hills"	0.108798
"Highland Park"	0.107948
Burlingame	0.106725
"Westchester County"	0.105244
"New Canaan"	0.104302
"Palo Alto"	0.104164
Smyrna	0.103426
Glendale	0.103336
Medford	0.102254
"White Plains"	0.102232
"Park Slope"	0.101767
lakeside	0.101544
Middletown	0.101263
Claremont	0.100671
Amherst	0.100655
Pomona	0.100625
Falmouth	0.100459
Stamford	0.100314
Scarsdale	0.100244
Ojai	0.0997271
Williamsburg	0.0994198
Flushing	0.0989588
Antioch	0.0988416
"Crown Heights"	0.098743
Needham	0.0980532
"Santa Clarita"	0.0974579
Atherton	0.0971958
"Great Neck"	0.0966928
"Santa Rosa"	0.0965593
"Washington Heights"	0.0963035
"Borough Park"	0.0961684
"Greenwich Village"	0.0960921
Alameda	0.0960622
Peekskill	0.0949687
"Boca Raton"	0.0949572
"West Los Angeles"	0.0948396
"Santa Ana"	0.0946899
"Boynton Beach"	0.0946223
Modesto	0.0944122
Petaluma	0.0944098
LAKEWOOD	0.0943211
Kirkland	0.0934169
Camarillo	0.0933865
Hattiesburg	0.0933462
Woodside	0.0928671
"San Pedro"	0.0922882
Ithaca	0.0918659
"Fort Lee"	0.0917252
Elmira	0.0917071
"Miami Beach"	0.0909833
"Overland Park"	0.0909606
riverside	0.0908064
Norwalk	0.0905546
Bedford-Stuyvesant	0.0905218
Bloomfield	0.0904477
"Virginia Beach"	0.0902136
Easton	0.0895613
"New Rochelle"	0.0895388
Stockbridge	0.0892653
Tribeca	0.0892626
Hillsboro	0.0891939
Redding	0.08776
"Santa Clara"	0.0875721
"Fayette County"	0.0875254
Poughkeepsie	0.0874961
Yonkers	0.0873961
Burbank	0.0871435
"Century City"	0.0867369
"North Beach"	0.0866568
Dorchester	0.0861763
"San Luis Obispo"	0.0861335
MINEOLA	0.0860009
Watertown	0.0859579
"Sonoma County"	0.0856195
Bloomington	0.0855744
"Mount Vernon"	0.0854662
Lynchburg	0.0854165
Tempe	0.0852052
Westminster	0.0849844
Gloucester	0.0848754
"Round Rock"	0.0847688
"East New York"	0.0840709
Salisbury	0.0839584
"Palm Beach"	0.0837985
Irvington	0.0836293
Wellesley	0.0831837
"Menlo Park"	0.0828779
Lenox	0.082863
"East Los Angeles"	0.0826387
Charlestown	0.0824092
"Palm Springs"	0.0818895
Potomac	0.0818209
Astoria	0.0817913
"Lake Worth"	0.0814838
ARCADIA	0.0813805
Rey	0.081094
Dearborn	0.0810915
"South End"	0.0810387
Scottsdale	0.0809341
"Orange County"	0.0809138
Jamestown	0.0808224
"Long Beach"	0.0807728
"Brighton Beach"	0.0806796
Huntington	0.0806353
"Redwood City"	0.0806046
"Mountain View"	0.0803577
"Coral Gables"	0.0802415
Fairfax	0.0799917
"Santa Barbara"	0.0798403
Fresno	0.079822
Berkeley	0.0798011
"Cherry Hill"	0.0795955
Lawrenceville	0.0795609
Duluth	0.0794986
Hillsborough	0.0792818
Ridgewood	0.079219
Annapolis	0.0792181
Lenexa	0.0790845
Greenville	0.0788448
Suwanee	0.0787887
Sparta	0.0786328
"Jefferson City"	0.0785925
))
(Bret (desc 3408.39) (sims
Debby	0.208842
Georges	0.15834
Bonnie	0.157694
Dennis	0.145039
Floyd	0.137884
Babs	0.129445
Mitch	0.120285
Irene	0.120263
Jose	0.120081
"Hurricane Bret"	0.112966
Alberto	0.108627
"Hurricane Bonnie"	0.10517
Vicki	0.0949098
Lenny	0.0853281
"Hurricane Georges"	0.0797294
Celia	0.0782271
Zeb	0.0781613
Isaac	0.0775041
Harvey	0.0731021
Ramon	0.0726815
Edgar	0.0722873
Hugo	0.0712509
Andrew	0.0706871
Gilberto	0.0702441
"Hurricane Floyd"	0.068476
Taubensee	0.0669408
Liam	0.0669342
Ivan	0.06683
Greg	0.0668121
Neil	0.066352
Jeb	0.0651336
"Hurricane Dennis"	0.0616924
Typhoon	0.0616575
Charley	0.0616142
Marco	0.0615173
Vladimir	0.0606346
Brian	0.0604732
Carlos	0.0599168
"Pokey Reese"	0.0599063
Danielle	0.0591712
Lankford	0.0584368
Cesar	0.0583857
Gary	0.0580476
Jason	0.0564169
cyclone	0.0563045
Bobby	0.0562613
Eric	0.0557252
Jonathan	0.0554997
Kevin	0.0554996
Noel	0.0553778
Ian	0.0551964
Carl	0.0550367
gloria	0.0541704
"George W."	0.0541535
Byron	0.053804
Randy	0.0537997
"rain shower"	0.0535578
Roger	0.0531106
Paxton	0.0529897
Chris	0.0529845
Ralph	0.0525257
Josephine	0.0520481
Jeremy	0.0519592
Otto	0.0518758
Casey	0.0518159
"Jeffrey Hammonds"	0.0517793
Shane	0.0511382
Andy	0.0511324
Frankie	0.051014
"Dmitri Young"	0.0506639
Terry	0.050387
Takanohana	0.0503838
Steven	0.0502277
Pedro	0.0498058
Darren	0.0497818
Bernie	0.0491921
"low pressure"	0.0491253
Dunston	0.0489185
Fryman	0.0488935
Nevin	0.0486089
Cameron	0.0486036
Danny	0.0482473
Arlene	0.0481023
Owen	0.0481015
Marvin	0.0479871
Sojo	0.0479642
Theo	0.0477934
Ronald	0.0476442
Clayton	0.0473814
Todd	0.046889
Brett	0.0465923
Dom	0.046586
Adrian	0.0462095
Steve	0.0459845
Alex	0.0459177
Darryl	0.0458007
Jamie	0.0457347
Shearer	0.0456499
Philippe	0.0452606
Josh	0.0450334
Charlie	0.0449878
Pavel	0.0449573
Leo	0.044874
Huey	0.0447848
"warm front"	0.0446719
Abreu	0.0445179
Boller	0.0443038
Luis	0.0442908
Rolen	0.0439809
Renteria	0.0438881
"Eddie Taubensee"	0.0436898
squall	0.0436489
"Sean Casey"	0.0435888
Gabriel	0.0435836
Jackie	0.0435464
Daniel	0.0435412
Emily	0.0434295
Shawn	0.0429449
Perisho	0.0428522
Harnisch	0.0427189
Nicolas	0.0424331
Billy	0.0422992
Joshua	0.0422859
Larry	0.0420195
Gerald	0.0420022
Phil	0.0419259
Jamal	0.0413311
Bertha	0.0413026
"cold front"	0.0411721
"Arturs Irbe"	0.0411441
Anthony	0.0411043
Nomar	0.0410741
Luke	0.0410725
"Earl Spencer"	0.0406746
Tim	0.0405891
Julio	0.040542
Louis	0.0403998
Stephen	0.0403949
matt	0.0403507
"Hurricane Mitch"	0.0402605
Zachary	0.0402419
Miguel	0.0401895
Aaron	0.0401354
Fossett	0.0400129
))
("Bret Boone" (desc 9097.73) (sims
"Andruw Jones"	0.283577
"Javy Lopez"	0.264749
"Pokey Reese"	0.24583
"Ozzie Guillen"	0.237929
"Ryan Klesko"	0.231125
"Chipper Jones"	0.231087
"Gerald Williams"	0.229135
"Brian Jordan"	0.228789
"Keith Lockhart"	0.227483
"Walt Weiss"	0.223523
"Eddie Taubensee"	0.223484
"Quilvio Veras"	0.218357
"Jose Hernandez"	0.214775
"Otis Nixon"	0.209532
"Andres Galarraga"	0.204875
"Dmitri Young"	0.200935
"Reggie Sanders"	0.196628
"Scott Rolen"	0.191864
"Edgardo Alfonzo"	0.191306
"Greg Vaughn"	0.184127
"Brian Hunter"	0.183544
"Jose Offerman"	0.18255
"Eddie Perez"	0.180658
"Fernando Vina"	0.180358
"Chuck Knoblauch"	0.180271
"Randy Velarde"	0.179314
"Scott Spiezio"	0.178617
"Tony Graffanino"	0.178076
"Ken Caminiti"	0.177645
"Eric Owens"	0.176356
"Mickey Morandini"	0.176354
"Phil Nevin"	0.17615
"David Bell"	0.175362
"Fred McGriff"	0.174129
"Damian Jackson"	0.171796
"Scott Brosius"	0.170567
"Travis Fryman"	0.168422
"John Valentin"	0.168273
"Jose Vidro"	0.165554
"Barry Larkin"	0.163323
"Troy Glaus"	0.161368
"Miguel Cairo"	0.161246
"Ron Coomer"	0.161065
"Craig Biggio"	0.160047
"Mark Kotsay"	0.159944
"Warren Morris"	0.159931
"Ray Durham"	0.157195
Cirillo	0.15645
Boone	0.155593
"Jeff Bagwell"	0.15453
"Bobby Abreu"	0.154499
"Eric Young"	0.153232
"Dante Bichette"	0.153228
Veras	0.153112
"Aaron Boone"	0.152109
"Paul Konerko"	0.151682
"Deivi Cruz"	0.1513
"Tony Batista"	0.151182
"Jim Leyritz"	0.150934
"Mark McLemore"	0.150463
"John Olerud"	0.149873
"Desi Relaford"	0.149409
"Joe Randa"	0.148939
"Jeff Kent"	0.14815
"Eric Karros"	0.147834
"Mike Cameron"	0.147656
"Mark Grudzielanek"	0.147609
"Jon Nunnally"	0.147588
"Dean Palmer"	0.147451
"Matt Stairs"	0.14737
"Adam Kennedy"	0.147111
"Derek Jeter"	0.146978
"Todd Helton"	0.146806
"Jason Varitek"	0.146626
"Jay Bell"	0.145862
"Tony Womack"	0.144712
"Matt Williams"	0.144499
"Todd Walker"	0.144163
"Ron Gant"	0.143699
Vidro	0.143688
"Herbert Perry"	0.143581
"Kevin Jordan"	0.143312
"Jeff Conine"	0.143128
"Carlos Lee"	0.142778
Alfonzo	0.142603
"Roberto Alomar"	0.142447
"Bill Mueller"	0.142194
"Jason Giambi"	0.141651
"Delino DeShields"	0.141636
"Vinny Castilla"	0.14059
"Al Martin"	0.140244
"Brian Daubach"	0.139241
"Jeffrey Hammonds"	0.139234
"Danny Bautista"	0.138845
"Mark Loretta"	0.138712
"Russ Johnson"	0.138289
"Greg Myers"	0.138275
"Wally Joyner"	0.138185
"Michael Tucker"	0.137937
Karros	0.137779
"Steve Finley"	0.137286
"Derrek Lee"	0.137285
"Sean Casey"	0.13718
"Todd Hundley"	0.136708
"Luis Castillo"	0.136706
"Craig Counsell"	0.136345
"Jeff Cirillo"	0.136277
"Garret Anderson"	0.135507
"Nomar Garciaparra"	0.135395
"Damion Easley"	0.135229
"Joey Cora"	0.13513
Burnitz	0.134914
"Adrian Beltre"	0.134507
"Mike Sweeney"	0.13447
"Derek Bell"	0.134413
"Andy Fox"	0.133953
"Tino Martinez"	0.133899
"Chris Widger"	0.13386
Klesko	0.133708
"Kevin Young"	0.133467
"Enrique Wilson"	0.133222
"Ruben Rivera"	0.133206
"Troy O'Leary"	0.132992
"Jim Edmonds"	0.132932
"Cristian Guzman"	0.132511
"Jeromy Burnitz"	0.132153
"Bill Spiers"	0.132089
"Rich Aurilia"	0.131037
Olerud	0.131009
"Gary Sheffield"	0.13056
"Damian Miller"	0.130294
Offerman	0.130279
"Edgar Renteria"	0.130247
"Paul O'Neill"	0.130099
"Darin Erstad"	0.129814
Randa	0.12981
"Marvin Benard"	0.129684
"Bobby Higginson"	0.129163
"Doug Glanville"	0.129076
"Kenny Lofton"	0.128796
"Will Clark"	0.128753
"Todd Zeile"	0.128615
"Luis Gonzalez"	0.128497
"J.T Snow"	0.128362
Lankford	0.128316
"Robin Ventura"	0.128244
"Luis Alicea"	0.128238
"Russ Davis"	0.12815
"Butch Huskey"	0.127811
"Orlando Palmeiro"	0.12776
"Bernie Williams"	0.127724
"Rafael Palmeiro"	0.127498
"Mike Lansing"	0.127337
"Edgar Martinez"	0.126802
"Mike Stanley"	0.1263
Higginson	0.126047
"Brian Giles"	0.125805
Rolen	0.125634
"Alex Gonzalez"	0.125392
"Mike Lieberthal"	0.125145
"Matt Walbeck"	0.124898
"Matt Lawton"	0.124204
"Shawn Green"	0.124039
"Mike Piazza"	0.123975
Tatis	0.123821
"B.J Surhoff"	0.123178
"Mike Bordick"	0.123118
"Jay Buhner"	0.123024
"Trot Nixon"	0.122927
"Carl Everett"	0.122914
"Johnny Damon"	0.122775
Valentin	0.12272
"Jorge Posada"	0.122719
Fullmer	0.122279
"Carlos Delgado"	0.122211
"David Segui"	0.122153
"Geoff Jenkins"	0.122023
"Jim Thome"	0.121866
"Jose Valentin"	0.120989
"Carlos Baerga"	0.12096
"Melvin Mora"	0.12089
Glaus	0.120886
"Mike Lamb"	0.120456
"Dave Martinez"	0.120362
Fryman	0.120326
"Tim Salmon"	0.120318
"Manny Ramirez"	0.119828
"Eric Chavez"	0.119695
"Lee Stevens"	0.11959
"Craig Paquette"	0.119443
"Willie Greene"	0.11914
Lieberthal	0.119012
"Rusty Greer"	0.118282
Alicea	0.118216
"Joe McEwing"	0.118006
"Fernando Tatis"	0.117214
"Tony Eusebio"	0.116671
Agbayani	0.11654
"Rey Ordonez"	0.116213
"Darren Lewis"	0.115839
Renteria	0.115765
"Ricky Ledee"	0.115591
"Jeff Frye"	0.115349
Surhoff	0.115037
"Marquis Grissom"	0.114662
"Charles Johnson"	0.114629
Erstad	0.114516
"Jose Vizcaino"	0.114364
"Paul Bako"	0.114203
Alomar	0.114155
Bordick	0.114148
"John Vander Wal"	0.113927
Guillen	0.113918
"Matt Franco"	0.113314
"Tim Bogar"	0.113207
"Mark Grace"	0.11247
"Rondell White"	0.11247
"David Ortiz"	0.11234
Galarraga	0.112123
"Carlos Febles"	0.111896
"Ken Griffey Jr."	0.111891
"Vladimir Guerrero"	0.111783
"Devon White"	0.111763
"Gregg Jefferies"	0.111367
"John Mabry"	0.111034
"Kelly Stinnett"	0.110938
"Chili Davis"	0.110315
"Ivan Rodriguez"	0.110064
"Miguel Tejada"	0.110063
"Bruce Aven"	0.109923
"Kevin Millwood"	0.109835
"Moises Alou"	0.109516
Knoblauch	0.10917
"Pat Meares"	0.108892
"Pat Burrell"	0.108878
"Tony Clark"	0.108723
"Tom Goodwin"	0.108441
"Jose Guillen"	0.10839
"Henry Rodriguez"	0.108379
Frye	0.108347
"Carlos Beltran"	0.108323
"Barry Bonds"	0.108068
Daubach	0.108008
"Rafael Furcal"	0.107851
"Greg Colbrunn"	0.107845
"Rickey Henderson"	0.107549
Nevin	0.107427
McGriff	0.107408
Womack	0.106717
"Chris Gomez"	0.106639
Palmeiro	0.106483
"Frank Thomas"	0.106257
Biggio	0.106077
"Mike Benjamin"	0.105999
DeShields	0.105895
"Glenallen Hill"	0.105844
"Preston Wilson"	0.105296
Brosius	0.104764
"Rico Brogna"	0.10449
"Chad Curtis"	0.104047
"Richie Sexson"	0.104006
"Brook Fordyce"	0.103842
"Darren Bragg"	0.103628
"Andy Ashby"	0.10332
"Luis Sojo"	0.103176
"Manny Alexander"	0.102953
"Benny Agbayani"	0.102769
Abreu	0.102727
Bagwell	0.102666
Sexson	0.102579
Grudzielanek	0.102545
"Cal Ripken"	0.102345
"Todd Pratt"	0.101607
"Cliff Floyd"	0.101037
"Lenny Harris"	0.100938
Varitek	0.100801
McLemore	0.10072
"Jason Kendall"	0.100652
"Omar Vizquel"	0.100477
"Brad Fullmer"	0.100237
"Dave Hansen"	0.100043
"Alex Rodriguez"	0.100007
))
("Bret Saberhagen" (desc 6621.15) (sims
"Pat Rapp"	0.29007
"Tim Wakefield"	0.279298
"Ramon Martinez"	0.26594
"Mark Portugal"	0.261007
"Brian Rose"	0.228442
"Bartolo Colon"	0.227347
"John Wasdin"	0.225992
"Bryce Florie"	0.214862
"Pedro Martinez"	0.207535
"Dave Burba"	0.204563
"John Smoltz"	0.203508
"Steve Parris"	0.203234
"Tom Gordon"	0.197893
"Rod Beck"	0.192587
"David Cone"	0.191498
"Jaret Wright"	0.190446
"Pedro Astacio"	0.186699
"Dwight Gooden"	0.186493
"Kent Mercker"	0.185514
"Rick Reed"	0.1855
"Woody Williams"	0.184134
"Rich Garces"	0.176228
"Jeff Fassero"	0.175773
"Derek Lowe"	0.175703
"Pete Schourek"	0.174698
"Charles Nagy"	0.173842
"Ken Hill"	0.170767
"Andy Ashby"	0.166849
"Shane Reynolds"	0.164203
"Paul Abbott"	0.163153
"Alex Fernandez"	0.162977
Saberhagen	0.162874
"Brian Moehler"	0.162132
"Jon Lieber"	0.16169
"Al Leiter"	0.161263
"Orlando Hernandez"	0.160109
"Chris Carpenter"	0.15873
"Tim Belcher"	0.158242
"Gil Heredia"	0.157717
"Mike Mussina"	0.157535
"Todd Stottlemyre"	0.156873
"Rheal Cormier"	0.156682
"Tom Glavine"	0.156586
"Kevin Millwood"	0.156541
"Russ Ortiz"	0.156028
"Hideki Irabu"	0.155997
"Jason Schmidt"	0.15593
"Scott Erickson"	0.155507
"Kevin Tapani"	0.155318
"Greg Maddux"	0.15529
"Rick Helling"	0.15435
"Rolando Arrojo"	0.153695
"Brett Tomko"	0.153236
"Chan Ho Park"	0.152957
"Andy Pettitte"	0.152227
"Curt Schilling"	0.151806
"Jamie Moyer"	0.151412
"Pete Harnisch"	0.15133
"Roger Clemens"	0.151309
"Kirk Rueter"	0.150355
"Steve Avery"	0.150066
"Pat Hentgen"	0.150029
"Jim Corsi"	0.14933
"Armando Reynoso"	0.149157
"Orel Hershiser"	0.1477
"John Burkett"	0.14745
"Mac Suzuki"	0.147361
"Mark Guthrie"	0.145978
"Hideo Nomo"	0.145162
"Mark Gardner"	0.144997
"Steve Trachsel"	0.1444
"Sean Bergman"	0.144016
"David Wells"	0.142849
"Mark Clark"	0.142228
"Kent Bottenfield"	0.141989
"Eric Milton"	0.141975
"Mike Hampton"	0.141214
"Shawn Estes"	0.140672
"Javier Vazquez"	0.140392
"Jack McDowell"	0.140137
"Terry Mulholland"	0.13984
"Freddy Garcia"	0.139498
"Darren Dreifort"	0.139379
"Andy Benes"	0.138968
"Kerry Wood"	0.138754
"Jason Bere"	0.13715
"Matt Morris"	0.137057
"Tom Candiotti"	0.136951
Schourek	0.135987
"Scott Elarton"	0.135272
"Denny Neagle"	0.13517
"Omar Olivares"	0.134973
"Pat Mahomes"	0.134469
"Brad Radke"	0.134415
"Francisco Cordova"	0.133965
"John Valentin"	0.133564
"Aaron Sele"	0.133551
"Jason Dickson"	0.133455
"Kevin Brown"	0.133387
"Russ Springer"	0.132307
"Jeff Weaver"	0.132117
"Mark Petkovsek"	0.131146
"Chuck Finley"	0.13092
"Dustin Hermanson"	0.130723
"Darryl Kile"	0.130009
"Steve Sparks"	0.12987
"Sterling Hitchcock"	0.129437
"Masato Yoshii"	0.129409
"Paul Byrd"	0.127998
"Kenny Rogers"	0.127588
"Jin Ho Cho"	0.127506
"John Halama"	0.127295
Harnisch	0.126754
"Mike Morgan"	0.126451
"Ramon Ortiz"	0.126289
"Jim Parque"	0.126017
Glavine	0.124866
"Octavio Dotel"	0.124637
"Ryan Dempster"	0.123851
Meche	0.123634
"Dave Mlicki"	0.122628
"Joey Hamilton"	0.121873
Mercker	0.120647
Smoltz	0.120283
"Ken Cloude"	0.119828
"Mike Sirotka"	0.119818
"Tim Hudson"	0.118951
"Ramiro Mendoza"	0.118322
"Danny Graves"	0.117536
"Ismael Valdes"	0.11709
"Al Levine"	0.116709
"BRIAN MEADOWS"	0.116689
Fassero	0.116545
"Ryan Glynn"	0.116395
"Kevin Appier"	0.11638
Moyer	0.116134
"Willie Blair"	0.115385
"Antonio Osuna"	0.115173
"James Baldwin"	0.115145
"Carlos Perez"	0.114327
"Dennis Eckersley"	0.11411
Rueter	0.114048
Checo	0.113916
Bottenfield	0.11377
Benes	0.113348
"Chris Holt"	0.113329
"Juan Guzman"	0.113115
"Brian Bohanon"	0.112577
"Scott Karl"	0.111546
"Robinson Checo"	0.111437
"Randy Johnson"	0.111295
"Mike Stanley"	0.111194
Hershiser	0.111158
"Jamey Wright"	0.110959
"John Snyder"	0.110743
"STEVE WOODARD"	0.110372
"Bobby Jones"	0.110271
Millwood	0.110255
"Byung-Hyun Kim"	0.109905
"Mark Wohlers"	0.109497
"Nomar Garciaparra"	0.109402
"Jose Lima"	0.109366
"Esteban Loaiza"	0.109306
Tapani	0.109288
"Doug Henry"	0.109167
"Gil Meche"	0.108967
"Wilson Alvarez"	0.10836
"Troy O'Leary"	0.107683
Pedro	0.10768
"Brian Anderson"	0.107639
"Brett Hinchliffe"	0.107055
"Mark Leiter"	0.107023
"Scott Williamson"	0.10686
Bohanon	0.106508
Mahomes	0.106217
Rusch	0.10556
Ankiel	0.105164
Belcher	0.105053
"Carl Pavano"	0.104729
"John Wetteland"	0.104665
"Paul Shuey"	0.104266
"Jesus Sanchez"	0.104095
Mlicki	0.103888
"Mariano Rivera"	0.103573
Clemens	0.103547
"Matt Herges"	0.103496
Helling	0.103102
"Mike Remlinger"	0.102837
D'Amico	0.102335
Osuna	0.101785
"Dennis Martinez"	0.101532
Neagle	0.101213
Schoeneweis	0.100547
"Livan Hernandez"	0.100452
Dempster	0.0999975
"Shigetoshi Hasegawa"	0.0999085
"Greg Swindell"	0.0998634
"Bill Pulsipher"	0.0997063
Reynoso	0.0995843
Appier	0.0990526
))
(brethren (desc 13110.9) (sims
Kin	0.0601552
colleague	0.0583615
clergymen	0.0571959
countrymen	0.0570846
insurgent	0.0554518
minority	0.0549355
cleric	0.0512647
shipmate	0.0501724
returnees	0.0501606
peer	0.0499986
"Albanian Kosovars"	0.0496424
constituent	0.0495405
"holy place"	0.0494918
"fellow traveler"	0.049184
elite	0.0491331
militant	0.0489767
student-athletes	0.0485443
comrade	0.0481357
faction	0.0478739
extremist	0.0470511
"Kosovar Albanians"	0.046762
Jew	0.0467367
separatist	0.0460917
Serbs	0.0460879
adversary	0.046056
Slav	0.0460131
cousin	0.0459498
co-worker	0.0454865
guerrilla	0.0454277
"Turkish Cypriots"	0.0452714
captor	0.0452682
clergy	0.0451892
fundamentalism	0.0445631
evangelicals	0.0443232
detainee	0.0440569
villager	0.0440214
backbencher	0.0438817
denomination	0.0435919
billionaires	0.0434777
prisoner	0.0433446
"rank and file"	0.0429662
nationalist	0.0429644
coworker	0.0429409
fundamentalist	0.0428627
insurgency	0.0427838
foe	0.0424723
contemporaries	0.0422027
legislator	0.0421358
landowner	0.0420827
"political leader"	0.0419346
denizen	0.0418075
dissident	0.0417504
marcher	0.0414553
Muslim	0.0414398
"political boss"	0.0413535
compatriot	0.0410195
"religious leader"	0.040821
worshiper	0.0406648
schoolmate	0.0406558
Kurds	0.0406293
redoubt	0.040291
Catholic	0.0400525
))
(Breton (desc 1148.37) (sims
BASQUE	0.200311
Ivorian	0.124749
Berber	0.124401
Yiddish	0.123154
Kurdish	0.12171
Abkhazian	0.117166
Kashmiri	0.112897
Catalan	0.106051
Swahili	0.101806
"Far Eastern"	0.0998559
Provencal	0.0964883
Okinawan	0.096296
Sinhala	0.0958247
"North African"	0.094163
Flemish	0.0939236
Cornish	0.0909334
Latvian	0.0885533
Kosovar	0.0875163
Tibetan	0.0848718
Scottish	0.08414
Maasai	0.0819843
Javanese	0.0819281
Armenian	0.0817381
Kiswahili	0.0787494
"Irish Catholic"	0.0787133
Khmer	0.078565
Welsh	0.0749631
"Kosovo Albanian"	0.0746766
Germanic	0.0735174
Yorkshire	0.0732032
Zulu	0.0726955
mariachi	0.0718812
Gaelic	0.0716693
Navajo	0.0716264
FEDERALIST	0.0694211
"Middle Eastern"	0.0692478
Hindi	0.0686654
Zhuang	0.0681433
Hani	0.0681077
hardcore	0.0678559
"Tamil Eelam"	0.0678134
Afrikaans	0.0669747
Bengali	0.066429
Estonian	0.0660536
Moro	0.0649157
"Israeli Arab"	0.0642277
Aztec	0.0638539
Aramaic	0.0632859
Montenegrin	0.0626974
Hopi	0.0626633
Miao	0.0623714
"South Vietnamese"	0.0622949
"Congo River"	0.0619796
Eames	0.0618533
Uygur	0.0614636
Eskimo	0.0608856
Scots	0.0590109
Hausa	0.0587488
Hasidic	0.0585448
Trincomalee	0.0575765
Urdu	0.0562469
"West African"	0.0562414
Basques	0.0558322
Brittany	0.0553978
Adirondack	0.0553883
Limassol	0.0547137
"Pacific Coast"	0.0535617
Kurd	0.052754
"Ethnic Albanian"	0.0527417
Hmong	0.0524365
Inuit	0.0524204
Devon	0.0522764
Farsi	0.0517648
Merca	0.0517253
"Kosovar Albanian"	0.0516714
Sikh	0.0513486
Hawaiian	0.0503884
Appalachian	0.0503195
Sephardic	0.0503081
"Eastern European"	0.0501862
Italian-American	0.0500135
Zhongshan	0.0495942
spiffy	0.0491992
Cabinda	0.0491798
Lucite	0.0489692
"American Jewish"	0.0485776
Acadian	0.0485742
Yoruba	0.0485466
shaker	0.048491
wicker	0.0483006
"Florida Panhandle"	0.0476536
Maori	0.0476136
Alaskan	0.0471998
Kyrgyz	0.0467396
"Shiite Muslim"	0.0467102
rom	0.0466968
Normandy	0.0466347
Tatar	0.0463697
Coptic	0.0463001
streetwise	0.0461675
ninja	0.0459623
Galle	0.0458785
Arab-American	0.0457841
Goth	0.0457564
"nursery rhyme"	0.0455846
Camerounian	0.0453429
boilerplate	0.0451674
down-and-out	0.04509
throwaway	0.0449511
"Lake Tanganyika"	0.0448763
"Arabian Sea"	0.0443486
Steiner	0.0442836
"English Channel"	0.0438786
"picture postcard"	0.0437769
grunge	0.0437576
"Ohio River"	0.0436425
"white supremacy"	0.0435853
FireWire	0.0435504
"grim reaper"	0.0434098
Ecuadorean	0.0432777
cappella	0.0432198
Cantonese	0.0429298
"Nile Delta"	0.0427889
Kisumu	0.042568
Amish	0.0424852
"Polisario Front"	0.0422389
Kazak	0.0420758
hippie	0.0419089
"Sunni Muslim"	0.041773
"Northern Irish"	0.0417612
bauhinia	0.0417245
lakeside	0.0416723
klezmer	0.0414519
Polynesian	0.0412406
techie	0.0412126
Hyannis	0.041139
gangsta	0.0409603
Timorese	0.0406985
Slavic	0.0406473
"French Canadian"	0.040601
"Woods Hole"	0.0405446
non-European	0.0405137
rattan	0.0403296
Kendall-Jackson	0.0403237
Bauhaus	0.0400895
"Red Sea"	0.0400853
))
(Brett (desc 8564.25) (sims
Yount	0.126731
"George Brett"	0.118874
Steven	0.105903
Juan	0.100088
Brian	0.0994188
Jamie	0.098004
Kevin	0.0959773
Aaron	0.0957991
Jeremy	0.0945941
Steve	0.0941814
Carl	0.0931963
Josh	0.0930974
Jeb	0.093052
Brent	0.0923105
Greg	0.0919985
Ronald	0.0914355
Ryan	0.0912394
mike	0.0908246
Walter	0.0897973
Andrew	0.0891169
Robert	0.0889856
Kyle	0.0882698
Jeff	0.088249
matt	0.0877564
Jim	0.0876041
Jason	0.0874675
Cepeda	0.0874133
Eric	0.0869649
Tim	0.0868108
Richard	0.0866942
Casey	0.0861527
Randy	0.085689
Wayne	0.0850497
Gary	0.0850385
Justin	0.0850311
"George W."	0.0847323
Owen	0.0844168
Gerald	0.0843174
Bobby	0.084244
Robbie	0.0836055
Danny	0.0835891
Michael	0.0834622
Bruce	0.0830456
Gwynn	0.0820756
Theo	0.0818232
Evan	0.0818079
Alan	0.0815229
Terry	0.0814079
Philip	0.0812997
Luis	0.0808285
William	0.0807554
"Orlando Cepeda"	0.0805636
Ian	0.0805059
Cameron	0.0801755
Hank	0.0800073
Jeffrey	0.0799594
Sean	0.0799031
Vladimir	0.0798041
Trevor	0.0794327
Samuel	0.0794263
Brandon	0.079381
Gretzky	0.0793399
Todd	0.0793311
Roger	0.079124
Louis	0.0787831
Jonathan	0.0781739
Chris	0.0780576
Gabriel	0.0777332
Barry	0.0776228
Marty	0.0772647
Gerard	0.0771121
Neil	0.0766698
Fisk	0.0765713
Matthew	0.0764399
Ralph	0.0763215
Jerry	0.0758212
Marvin	0.0757151
Fred	0.0754626
"Earl Spencer"	0.0754502
Joe	0.0753889
Joey	0.0751998
Noel	0.0749112
Anthony	0.0746179
Ben	0.0745582
Chuck	0.0743078
Peter	0.074205
David	0.074064
Brosius	0.0740625
Craig	0.0739494
Ted	0.0739455
Jose	0.0738784
Gregory	0.0738664
Edward	0.0737622
Spencer	0.0737362
Koufax	0.0736213
Kenny	0.0734736
Paul	0.0734675
Ivan	0.0734598
James	0.0733995
Leslie	0.073115
Keith	0.0729424
Sarazen	0.0728957
Ramon	0.0728622
Nicholas	0.0724308
Edgar	0.0723928
Ripken	0.0721605
Reese	0.0721432
Billy	0.071628
Johnny	0.0713167
Dominic	0.0712294
Miguel	0.0711701
Stephen	0.0706785
Rick	0.0706271
Larry	0.0705763
Doug	0.0702879
Bonilla	0.0700573
Tommy	0.0700378
Pedro	0.0700001
Christopher	0.069945
Harold	0.0699278
Boggs	0.0698952
Antonio	0.0698549
Patrick	0.0698483
Dave	0.0698463
Adam	0.0697967
Andy	0.0695788
John	0.0695061
Albert	0.0695045
Karros	0.0694722
nick	0.0690578
Charles	0.0690218
Isaiah	0.0689712
Andre	0.0688117
Marc	0.068729
Drew	0.0684486
Reggie	0.0683195
Sam	0.0681286
Roy	0.0679906
Joshua	0.0678808
DiMaggio	0.0677047
Brad	0.0676378
Jake	0.0676072
Eddie	0.0674911
Shawn	0.0674545
Raymond	0.0673697
Baines	0.0672857
Tatis	0.0671126
Irwin	0.067041
Jimmy	0.0670188
tom	0.0669767
Scott	0.0669509
Henry	0.0669472
Phillip	0.0668389
Andrei	0.0668048
Alou	0.0667574
Zachary	0.0666979
"Robin Yount"	0.0664835
Canseco	0.0663309
Shane	0.0662322
Mohammed	0.0662257
Hugh	0.0662256
Dennis	0.0661025
Daniel	0.0658862
sandy	0.0657616
Dom	0.0657179
Liam	0.0656626
Luke	0.0655523
Curtis	0.0654886
Manuel	0.0653807
Julian	0.0653081
Brooks	0.0651134
Byron	0.0651036
Brock	0.0649026
"Pete Rose"	0.0648454
Adrian	0.0648384
Kenneth	0.0647926
Cody	0.0647624
Kenyon	0.0646818
Jacob	0.0646723
"Tony Gwynn"	0.0644498
"Ted Williams"	0.0644356
Galarraga	0.0644346
Joseph	0.0643662
Leyritz	0.0643082
Stephanie	0.064305
"Michael Skakel"	0.0642665
don	0.0642502
Harry	0.0640542
Laudrup	0.0640363
Wyatt	0.0639727
Griffey	0.0639412
Dan	0.0638217
Tony	0.0637716
Baerga	0.0637076
Karl	0.0636371
Autry	0.0636362
Bashar	0.0634395
Russ	0.063439
Clyde	0.0634184
Elliott	0.0633037
))
("Brett Favre" (desc 9068.39) (sims
"Dan Marino"	0.185054
"Steve Young"	0.182959
"Troy Aikman"	0.171372
"Reggie White"	0.163584
"John Elway"	0.162455
"Vinny Testaverde"	0.1624
"Joe Montana"	0.162101
"Chris Chandler"	0.161483
"Randall Cunningham"	0.160231
"Drew Bledsoe"	0.156074
Favre	0.151313
"Doug Flutie"	0.149789
"Jeff George"	0.14851
"Mark Brunell"	0.140429
"Brad Johnson"	0.13506
"Peyton Manning"	0.12802
"Jake Plummer"	0.125268
"Rob Johnson"	0.124269
"Kurt Warner"	0.124048
"Warren Moon"	0.122714
"Dorsey Levens"	0.122415
"Antonio Freeman"	0.122414
"Ty Detmer"	0.122398
"Steve McNair"	0.121192
"Trent Dilfer"	0.120829
"Jeff Garcia"	0.115925
"Rick Mirer"	0.113659
"Jerry Rice"	0.112991
"Robert Brooks"	0.107989
"Jim Kelly"	0.107757
"Tony Banks"	0.105066
"Bubby Brister"	0.104483
"Rich Gannon"	0.104471
"Trent Green"	0.103884
"Terrell Davis"	0.103184
"Emmitt Smith"	0.101789
"Elvis Grbac"	0.0995246
"Jon Kitna"	0.0990662
"Brian Griese"	0.098636
Elway	0.0973576
"Terry Bradshaw"	0.0960823
"Doug Pederson"	0.0956427
"Cade McNown"	0.0956016
Aikman	0.0945645
"Kent Graham"	0.0942903
"Tim Couch"	0.0932723
"Kerry Collins"	0.0926449
"Glenn Foley"	0.0923822
"Jarious Jackson"	0.0896124
"Akili Smith"	0.0888531
Applewhite	0.0882313
"Ray Lucas"	0.0871946
"Charlie Batch"	0.0871343
"Chris Weinke"	0.085688
Bledsoe	0.0854684
"Michael Bishop"	0.085148
"Scott Mitchell"	0.0842442
"Damon Huard"	0.0841189
Plummer	0.0827146
"Neil O'Donnell"	0.0813332
"Steve Beuerlein"	0.0797162
"Ryan Leaf"	0.0789035
"Erik Kramer"	0.0784879
Brees	0.0774557
"Carson Palmer"	0.0774355
Vick	0.0774321
quarterback	0.0770199
Kitna	0.0769215
"Marshall Faulk"	0.0766478
"Cris Carter"	0.0759751
Kanell	0.0758078
"Phil Simms"	0.0757093
"Quincy Carter"	0.0753283
Testaverde	0.0749811
Huard	0.0748768
"Kordell Stewart"	0.0740288
"Barry Sanders"	0.0739044
"Garrison Hearst"	0.0738827
"Danny Wuerffel"	0.0738025
Pederson	0.0737668
"Michael Irvin"	0.0737308
"Tee Martin"	0.0735921
"Todd Husak"	0.0733907
"Derrick Mayes"	0.072332
"Michael Vick"	0.0720665
Manning	0.0714611
Cunningham	0.0706283
"Jason Garrett"	0.0703743
McNown	0.0696697
Chandler	0.0694632
"Jim Harbaugh"	0.0694099
"Marcus Outzen"	0.0678195
"Bobby Hoying"	0.0676999
"Cory Paus"	0.06661
Zolak	0.066334
"Danny Kanell"	0.06584
"Randy Moss"	0.0658069
"Bo Jackson"	0.0655932
Brunell	0.0653372
Grbac	0.0652762
Marino	0.065272
Mirer	0.0652698
"Ryan Kealy"	0.065109
"Michael Jordan"	0.0648922
"Jeff Blake"	0.0647943
"Gus Frerotte"	0.0645526
"Donovan McNabb"	0.0645408
Tupa	0.0644719
Griese	0.0642027
"Doug Johnson"	0.0637846
"Drew Bennett"	0.0632671
"Roger Staubach"	0.0632025
"Drew Henson"	0.063026
"Daunte Culpepper"	0.0630099
"Shaun King"	0.0629358
Weinke	0.0629009
Brady	0.0628613
"Ryan McCann"	0.062632
"Tom Brady"	0.062551
"Ray Rhodes"	0.0624765
"Major Applewhite"	0.0623497
Hasselbeck	0.0618219
"Walter Payton"	0.0617819
"Van Raaphorst"	0.0615378
"JOHN FRIESZ"	0.0615352
"Dave Brown"	0.0613258
"Fred Taylor"	0.0611494
"Mike Van Raaphorst"	0.0606797
"Mike Holmgren"	0.0606602
"Jim Druckenmiller"	0.0605375
"Chris Simms"	0.0590188
"Joe Hamilton"	0.0588845
"Eric Zeier"	0.0587771
"Cynthia Cooper"	0.0583739
"Jamal Anderson"	0.0578233
"Joe Namath"	0.0574497
"Ricky Williams"	0.0560079
McCown	0.0556772
"Bobby Newcombe"	0.0554694
"Jimmy Smith"	0.0554171
Flutie	0.0550527
"Shannon Sharpe"	0.0547858
"Edgerrin James"	0.0545865
"Chad Pennington"	0.0544628
Dorsey	0.0544244
McNair	0.054261
"Keyshawn Johnson"	0.0541702
punter	0.0540898
Detmer	0.0539399
"Terry Glenn"	0.0539217
"Joey Galloway"	0.0538499
"Drew Brees"	0.0537272
"Ben Coates"	0.0536807
Warner	0.0535064
"Deion Sanders"	0.0534101
"Todd Collins"	0.0532896
"Carl Pickens"	0.0529222
Garrett	0.0529024
passer	0.0524862
Hasek	0.0524381
"Scott Zolak"	0.0521803
"running game"	0.0515936
"Ed McCaffrey"	0.0514371
"Brock Huard"	0.0513762
Holmgren	0.051372
"Keith Smith"	0.0509528
Dilfer	0.0504956
Chmura	0.05036
"Wayne Gretzky"	0.0502218
Druckenmiller	0.0493893
"Rodney Peete"	0.0489846
McNabb	0.048794
"John Fox"	0.0487336
"Ricky Watters"	0.0487092
"tight end"	0.0486496
"running back"	0.0485062
Foley	0.0484717
"Dedric Ward"	0.0481624
"Jim Brown"	0.0481401
"Mike Shanahan"	0.0481318
"Bryant Young"	0.048103
"three pitchers"	0.0479919
"Vince Lombardi"	0.0476562
linemen	0.0475836
"Bruce Smith"	0.0475336
"Ernie Irvan"	0.0469524
"Charlie Ward"	0.0469174
Faulk	0.0467563
Shula	0.0462673
"Rusty Wallace"	0.046157
"Wilt Chamberlain"	0.0460601
Longley	0.0460261
WARRICK	0.046024
"Tony Graziani"	0.0460194
Romanowski	0.0459123
"Dominik Hasek"	0.0459096
Kidd	0.0458353
"Tim Duncan"	0.0455629
"Denver Broncos"	0.0453041
"Lawrence Taylor"	0.0445005
))
("Brett Hinchliffe" (desc 1112.33) (sims
"Ken Cloude"	0.380246
"Ryan Glynn"	0.32036
"Byung-Hyun Kim"	0.293243
"Jamie Arnold"	0.277882
"Paul Abbott"	0.275983
"Freddy Garcia"	0.272068
"Frankie Rodriguez"	0.265389
"Brian Rose"	0.264317
"Al Levine"	0.263249
"Mike Judd"	0.260415
"Mac Suzuki"	0.25807
"Brett Tomko"	0.256171
"Russ Springer"	0.253781
"Gil Meche"	0.248049
"Ramon Ortiz"	0.247383
"Octavio Dotel"	0.239214
"Jose Jimenez"	0.238785
"Matt Herges"	0.238544
"Ryan Dempster"	0.23331
"Mark Leiter"	0.232808
"Eric Gagne"	0.232386
"John Halama"	0.223137
"Pat Mahomes"	0.21086
"Robinson Checo"	0.21015
"Woody Williams"	0.208602
"Bryce Florie"	0.20637
"Gil Heredia"	0.204457
"Ron Villone"	0.202359
"Kevin McGlinchy"	0.199847
"John Burkett"	0.196494
"John Hudek"	0.193165
"Russ Ortiz"	0.192193
"Jack McDowell"	0.187162
"Vladimir Nunez"	0.186598
"Jeff Weaver"	0.186391
"Ed Yarnall"	0.186013
"Mike Timlin"	0.185854
"Scott Williamson"	0.185778
"Tim Hudson"	0.183572
"Jarrod Washburn"	0.182162
"Mark Petkovsek"	0.181691
"John Snyder"	0.181443
"John Wasdin"	0.18144
"Jin Ho Cho"	0.180924
"Steve Parris"	0.180838
"BRIAN MEADOWS"	0.176262
"Jason Isringhausen"	0.175662
"Alex Fernandez"	0.174786
"Carl Pavano"	0.173699
"Armando Reynoso"	0.173342
"Scott Elarton"	0.173228
"Danny Patterson"	0.173059
"Doug Davis"	0.171401
"Francisco Cordero"	0.17045
"Brian Cooper"	0.167667
"Scott Karl"	0.167236
"Dave Mlicki"	0.166658
"Jamie Moyer"	0.166548
"Jose Paniagua"	0.16621
"Kazuhiro Sasaki"	0.16511
"Omar Olivares"	0.164587
"Odalis Perez"	0.164574
"Willie Blair"	0.164231
"Mike Fetters"	0.161751
"Kevin Tapani"	0.161123
"Mike Holtz"	0.160965
"Jason Dickson"	0.160666
"Jeff Zimmerman"	0.160348
"Javier Vazquez"	0.159614
"Scott Schoeneweis"	0.159029
"Jeff Nelson"	0.159018
"Jose Mesa"	0.158418
"Bruce Chen"	0.155843
"STEVE WOODARD"	0.154204
"Jesus Sanchez"	0.153741
"Allen Watson"	0.153447
"Mark Gardner"	0.153208
"Tim Crabtree"	0.153163
"Tim Belcher"	0.152987
"Andy Benes"	0.152786
"Antonio Osuna"	0.152377
"Jamey Wright"	0.152287
"Esteban Loaiza"	0.151825
"Eric Milton"	0.151232
"Paul Byrd"	0.150601
"Kevin Appier"	0.149277
"Seth Etherton"	0.148211
"Mike Morgan"	0.14772
"Brian Moehler"	0.146331
"Aaron Sele"	0.145413
"Dave Burba"	0.145347
"Kent Bottenfield"	0.145196
"Danny Graves"	0.14399
"Jeff Fassero"	0.143866
"Ramiro Mendoza"	0.143632
"Mark Langston"	0.142184
"Jason Grimsley"	0.142102
"Rudy Seanez"	0.142083
"Matt Morris"	0.141352
"Ken Hill"	0.141001
"Shigetoshi Hasegawa"	0.140379
"Dennis Reyes"	0.140261
"Dustin Hermanson"	0.140084
"Darren Dreifort"	0.139717
"Paul Shuey"	0.13963
"Pat Rapp"	0.139431
"Jim Corsi"	0.139302
"Mark Clark"	0.139172
"Greg McMichael"	0.138548
"Joey Hamilton"	0.138475
"Brad Penny"	0.138114
"Scott Erickson"	0.138016
"Terry Mulholland"	0.137767
"Gregg Olson"	0.137661
"Pete Harnisch"	0.137565
"Jim Parque"	0.137286
"Chris Carpenter"	0.136239
"Turk Wendell"	0.136117
"Terry Adams"	0.135601
"Pat Hentgen"	0.134993
"Jon Lieber"	0.134394
"Sidney Ponson"	0.134293
"Troy Percival"	0.133823
"Steve Sparks"	0.132188
"Dwight Gooden"	0.132151
"Bill Pulsipher"	0.132101
"Mike Magnante"	0.131531
"Dennis Martinez"	0.130755
"Ismael Valdes"	0.130696
"Jason Schmidt"	0.130106
"Rolando Arrojo"	0.129888
"Kerry Ligtenberg"	0.129804
"Mark Portugal"	0.129777
"Chris Holt"	0.128831
"Darren Holmes"	0.128289
"Kent Mercker"	0.128222
"Livan Hernandez"	0.127881
"Shane Reynolds"	0.127656
"Robb Nen"	0.127462
"Heathcliff Slocumb"	0.127252
"Steve Trachsel"	0.12709
"Brad Radke"	0.126644
"Mike Venafro"	0.125747
"Ricky Bottalico"	0.124073
"Kevin Millwood"	0.123961
"Brian Anderson"	0.123953
"Rich Rodriguez"	0.123693
"Matt Perisho"	0.123623
"Jason Bere"	0.123508
"Billy Taylor"	0.122717
"Tom Candiotti"	0.12265
"Kerry Wood"	0.122629
"Ramon Martinez"	0.12173
"Onan Masaoka"	0.121362
"Mel Rojas"	0.120898
"Ugueth Urbina"	0.120737
"Rick Helling"	0.120046
"Chuck McElroy"	0.119984
"Jaret Wright"	0.119757
"DOUG JONES"	0.11959
"Masato Yoshii"	0.119462
"Chan Ho Park"	0.119398
"Tim Wakefield"	0.118959
"Bartolo Colon"	0.118815
"Manny Legace"	0.118456
"Darryl Kile"	0.11817
"Paul Spoljaric"	0.118111
"Orel Hershiser"	0.118015
"Juan Guzman"	0.117809
"Rich Garces"	0.1165
"Scott Radinsky"	0.115378
"Charles Nagy"	0.114878
"Rick Aguilera"	0.114739
"Arthur Rhodes"	0.11405
"Jeff Williams"	0.113349
"Rick Reed"	0.112732
"Matt Mantei"	0.112438
"Brian Bohanon"	0.11192
"Hideki Irabu"	0.111883
Herges	0.111534
"Randy Myers"	0.110074
"Andy Ashby"	0.109764
"Greg Swindell"	0.109553
"Kirk Rueter"	0.109392
"Pedro Borbon"	0.108462
"John Wetteland"	0.108325
"Alan Embree"	0.108041
"Donne Wall"	0.10801
"Armando Benitez"	0.107999
"Todd Stottlemyre"	0.107536
"Bret Saberhagen"	0.107055
"Randall Simon"	0.106227
"Mike Remlinger"	0.106127
"Justin Thompson"	0.10582
"Hideo Nomo"	0.105108
"Carlos Perez"	0.105084
"Tom Brady"	0.104382
"Rheal Cormier"	0.103782
"Omar Daal"	0.103736
"Todd Husak"	0.102885
"Orlando Hernandez"	0.102015
"Francisco Cordova"	0.101241
"Jay Powell"	0.100896
))
("Brett Hull" (desc 9636.27) (sims
"Jamie Langenbrunner"	0.312638
"Pat Verbeek"	0.278493
"Joe Nieuwendyk"	0.274419
"Sergei Zubov"	0.273838
"Mike Modano"	0.26552
"Jere Lehtinen"	0.260746
"Mike Keane"	0.253297
"Derian Hatcher"	0.248959
"Darryl Sydor"	0.237018
"Scott Thornton"	0.227455
"Blake Sloan"	0.223431
"Guy Carbonneau"	0.216372
"Richard Matvichuk"	0.208582
"Shawn Chambers"	0.19883
"Brian Skrudland"	0.19426
"Grant Marshall"	0.189866
"Brenden Morrow"	0.186552
"Luc Robitaille"	0.181187
Langenbrunner	0.174056
Modano	0.172047
"Dave Reid"	0.161801
Nieuwendyk	0.160797
"Kirk Muller"	0.158211
"Greg Adams"	0.143404
"Ziggy Palffy"	0.142633
"Theo Fleury"	0.142404
"Glen Murray"	0.139556
Sydor	0.137688
"Mark Recchi"	0.136596
hull	0.134799
"Craig Ludwig"	0.134277
"Paul Kariya"	0.131106
"Jeremy Roenick"	0.129622
"Aaron Gavey"	0.127366
"Jon Sim"	0.127179
"Tony Amonte"	0.12625
"Dixon Ward"	0.123214
"Eric Lindros"	0.121583
Carbonneau	0.121466
"Pavel Bure"	0.121094
Matvichuk	0.120691
"Ed Belfour"	0.120329
"ZIGMUND PALFFY"	0.1193
"Alexander Mogilny"	0.116471
Lehtinen	0.116289
Verbeek	0.114456
"Jaromir Jagr"	0.113287
Hatcher	0.111569
"Teemu Selanne"	0.111373
LeClair	0.109538
Robitaille	0.108221
"Claude Lemieux"	0.108182
Fleury	0.106834
"Peter Forsberg"	0.106512
"Owen Nolan"	0.10486
"Jason Allison"	0.10482
Nedved	0.102433
"Ron Francis"	0.09996
"Sergei Samsonov"	0.0994209
"Benoit Hogue"	0.0993516
"Dave Andreychuk"	0.0991049
"Todd Harvey"	0.0988344
Palffy	0.0984004
Andreychuk	0.0976099
"Donald Audette"	0.0975103
Reichel	0.0973931
"Dave Manson"	0.096593
"Brendan Shanahan"	0.0963159
Romario	0.0956145
"Geoff Sanderson"	0.0931784
Yzerman	0.0926173
"Doug Weight"	0.0920252
Laudrup	0.0918727
"Tony Hrkac"	0.0914735
Jagr	0.0901131
Zubov	0.0899745
Kariya	0.0899618
"Keith Tkachuk"	0.0893311
"Nelson Emerson"	0.0885264
Fedorov	0.0885237
Selanne	0.0884707
Niedermayer	0.0878986
"Valeri Kamensky"	0.0876756
Audette	0.0876522
"Rob DiMaio"	0.0875843
"Pavol Demitra"	0.0873907
"Alexei Kovalev"	0.0873852
"Joe-Max Moore"	0.0871559
"Milan Hejduk"	0.0869418
"Mark Messier"	0.0860435
Tocchet	0.0855011
Batistuta	0.085479
"Dallas Drake"	0.0848135
"Predrag Mijatovic"	0.0844174
"Bill Guerin"	0.0843988
"Jason Arnott"	0.0842866
"Rick Tocchet"	0.0838148
Vieri	0.0837353
Roenick	0.0836109
Tkachuk	0.0836075
Stumpel	0.0833309
"Doug Gilmour"	0.0831498
"Mia Hamm"	0.0827964
"Joe Juneau"	0.0824466
"Roman Turek"	0.0816216
"Keith Primeau"	0.0815366
"Steve Thomas"	0.0812983
"Sun Wen"	0.0811785
Forsberg	0.0808819
"Joe Sakic"	0.0808375
Lemieux	0.0805248
Woolley	0.080463
"Landon Wilson"	0.0803806
Bourque	0.0788781
"Sergei Fedorov"	0.0788617
"Keith Van Horn"	0.0782136
MacLean	0.0779723
Sykora	0.0773469
"Shane Doan"	0.0770589
"John LeClair"	0.076868
"Matthew Barnaby"	0.0766497
"Davor Suker"	0.0765984
"Adam Deadmarsh"	0.0765221
"Jarvis Turner"	0.0765155
"Grant Long"	0.0764528
Rivaldo	0.0758545
Smolinski	0.0756198
"Wayne Gretzky"	0.0754415
"Gabriel Batistuta"	0.0750482
"Ray Bourque"	0.0746018
"Wendel Clark"	0.0743573
"Luis Hernandez"	0.0742615
Belfour	0.0741612
Holik	0.0736954
"Al MacInnis"	0.0733839
Bergkamp	0.0733553
Leetch	0.0731151
"Rob Blake"	0.0731125
Primeau	0.072787
"Del Piero"	0.0727288
"Ian Wright"	0.0726713
"Glen Rice"	0.0725241
Laperriere	0.0721093
Bure	0.0721016
MacInnis	0.0719324
LaPointe	0.0718331
"Cedric Ceballos"	0.0718232
Bebeto	0.0717059
Kamensky	0.0716817
"Eric Wynalda"	0.071493
"Chris Porter"	0.0708403
"Cobi Jones"	0.0705126
"Sam Clancy"	0.0702903
"Jalen Rose"	0.0702164
"Maurice Taylor"	0.0698666
"Brian Laudrup"	0.0697021
"Craig Johnson"	0.0696527
"Derek Plante"	0.0695492
"Ante Razov"	0.0693867
"Corliss Williamson"	0.0691404
"Kenyon Martin"	0.0687273
"Vladimir Tsyplakov"	0.0686901
"Grant Hill"	0.068659
"Faustino Asprilla"	0.0685117
"Steve Heinze"	0.0684638
Suker	0.0684488
"Vin Baker"	0.0683913
"Keith Jones"	0.0682194
"Youri Djorkaeff"	0.0678283
"Dmitri Khristich"	0.0678221
"Jozef Stumpel"	0.0677034
"Hao Haidong"	0.0676585
Baggio	0.0673888
"Kristine Lilly"	0.0672744
"Joey Galloway"	0.0672055
Hurtado	0.0669804
Duchesne	0.0669461
"Marc Overmars"	0.0669296
"Tim Taylor"	0.0669142
Barrie	0.0667445
"Scottie Pippen"	0.0666984
"Zinedine Zidane"	0.0665201
"Tom Gugliotta"	0.066486
"Mario Lemieux"	0.0664666
"Reggie Miller"	0.066427
Gretzky	0.0663226
"Miroslav Satan"	0.0661266
Chilavert	0.0659982
"Anson Carter"	0.0659331
"Hidetoshi Nakata"	0.0658705
"Jeff Friesen"	0.0657002
Hendrickson	0.0656328
"Richard Hamilton"	0.0655233
"Ted Donato"	0.0655146
"Rebecca Lobo"	0.0651668
MARBURY	0.0651599
"Harry Kewell"	0.0651548
"Emmitt Smith"	0.0650834
Gorter	0.0650582
"Darren McCarty"	0.0650477
))
("Brett Steven" (desc 2702.2) (sims
"Renzo Furlan"	0.28235
"Hernan Gumy"	0.282115
"Christian Ruud"	0.276692
"Judith Wiesner"	0.274128
"Nathalie Dechy"	0.272949
"Younes El Aynaoui"	0.272722
"Magdalena Maleeva"	0.271811
"Rainer Schuttler"	0.271696
"Adrian Voinea"	0.270744
"Ramon Delgado"	0.270677
"Kenneth Carlsen"	0.265986
"Anne Kremer"	0.264617
"Joannette Kruger"	0.261032
"Leander Paes"	0.257011
"Nicole Pratt"	0.256064
"Mikael Tillstrom"	0.255275
"Arnaud Clement"	0.254963
"Albert Portas"	0.254728
"Jerome Golmard"	0.254193
"Mariano Puerta"	0.252225
"Sarah Pitkowski"	0.251831
"Vincent Spadea"	0.250398
"Ruxandra Dragomir"	0.249374
"Franco Squillari"	0.247296
"Olga Barabanschikova"	0.246881
"Magui Serna"	0.24563
"David Prinosil"	0.245531
"Richard Fromberg"	0.244985
"Fernando Meligeni"	0.242563
"Nicolas Escude"	0.242426
"Silvia Farina"	0.240948
"Arnaud Di Pasquale"	0.240508
"Tatiana Panova"	0.239975
"Marcos Ondruska"	0.239695
"Carlos Costa"	0.238295
"Jeff Tarango"	0.238268
"Andrea Gaudenzi"	0.237803
"Ai Sugiyama"	0.237584
"Chanda Rubin"	0.236282
"Alberto Berasategui"	0.2361
"Juan Antonio Marin"	0.235644
"Lisa Raymond"	0.235382
"Cara Black"	0.235103
"Marcelo Filippini"	0.235016
"Paul Haarhuis"	0.234236
"Grant Stafford"	0.233586
"Karim Alami"	0.232995
"Jason Stoltenberg"	0.232547
"Andrei Pavel"	0.232294
"Tamarine Tanasugarn"	0.231591
"Elena Likhovtseva"	0.231573
"Kristie Boogert"	0.231397
"Florencia Labat"	0.231389
"Jonathan Stark"	0.231303
"Francisco Clavet"	0.231251
"Andrew Ilie"	0.231173
"Sebastien Grosjean"	0.231091
"Yayuk Basuki"	0.231043
"Sebastien Lareau"	0.230691
"Steve Campbell"	0.229998
"Magnus Gustafsson"	0.229735
"Daniel Nestor"	0.22964
"Mariano Zabaleta"	0.22887
"Scott Draper"	0.227374
"Chris Woodruff"	0.226942
"Anne-Gaelle Sidot"	0.22645
"Nicolas Lapentti"	0.226129
"Andreas Vinciguerra"	0.225911
"Thomas Johansson"	0.224895
"Xavier Malisse"	0.224543
"Sabine Appelmans"	0.224518
"Richey Reneberg"	0.224305
"Dominique Van Roost"	0.224211
"MaliVai Washington"	0.221878
"Andrei Medvedev"	0.221736
"Asa Carlsson"	0.221361
"Mark Knowles"	0.221043
"Elena Dementieva"	0.220452
"Arnaud Boetsch"	0.220384
"Anke Huber"	0.219115
"Barbara Rittner"	0.218384
"Roger Federer"	0.21784
"Magnus Norman"	0.217728
"Gianluca Pozzi"	0.217181
"Wayne Black"	0.216882
"Hicham Arazi"	0.216159
"Alberto Costa"	0.21568
"Rita Grande"	0.214752
"Wayne Ferreira"	0.213958
Siemerink	0.213424
"Miriam Oremans"	0.212253
"Byron Black"	0.212122
"Li Fang"	0.210944
"Marc Rosset"	0.21048
"Kimiko Date"	0.210349
"Guillaume Raoux"	0.210221
"Neville Godwin"	0.208901
"Sandrine Testud"	0.207865
"Javier Sanchez"	0.207451
"Naoko Sawamatsu"	0.207047
"Sjeng Schalken"	0.205199
"Catalina Cristea"	0.204929
"Julie Halard-Decugis"	0.20484
"Marat Safin"	0.204358
"Barbara Paulus"	0.204044
"Filip Dewulf"	0.203766
"Natasha Zvereva"	0.203739
"Sergi Bruguera"	0.202805
"Amelie Mauresmo"	0.200892
"Nicolas Kiefer"	0.200529
"Julian Alonso"	0.199947
"Tommy Haas"	0.19882
"Jan-Michael Gambill"	0.198543
"Sargis Sargsian"	0.198133
"Galo Blanco"	0.197244
"Amy Frazier"	0.197231
"Mark Woodforde"	0.196816
"Michael Tebbutt"	0.195976
"Irina Spirlea"	0.195908
"Thomas Enqvist"	0.195635
"Conchita Martinez"	0.194747
"Alex O'Brien"	0.194715
"Paola Suarez"	0.194697
"Fabrice Santoro"	0.194652
"Felix Mantilla"	0.194388
"Slava Dosedel"	0.193358
"Vince Spadea"	0.193229
"Juan Carlos Ferrero"	0.193142
"Tara Snyder"	0.193034
"Mark Philippoussis"	0.190863
"Michael Stich"	0.190768
"Kim Clijsters"	0.186243
"Corina Morariu"	0.185791
"Patty Schnyder"	0.185773
"Pat Rafter"	0.185589
"Marcelo Rios"	0.185383
"Guy Forget"	0.184662
"Jonas Bjorkman"	0.184661
"Justin Gimelstob"	0.184399
"Cedric Pioline"	0.184367
"Magnus Larsson"	0.183808
"Karina Habsudova"	0.183489
"John Van Lottum"	0.182232
"Alexandra Fusai"	0.182021
"Amanda Coetzer"	0.181994
"Alex Corretja"	0.181712
"American Chanda Rubin"	0.181619
Kroslak	0.181481
"Brenda Schultz-McCarthy"	0.181169
"Davide Sanguinetti"	0.180188
"Todd Woodbridge"	0.179705
"Max Mirnyi"	0.179306
"Tim Henman"	0.178443
"Nathalie Tauziat"	0.177971
"Albert Costa"	0.177854
"Richard Krajicek"	0.177405
"Els Callens"	0.177207
"Paul Goldstein"	0.176976
"Dominik Hrbaty"	0.17571
"Kveta Hrdlickova"	0.17524
"Barbara Schwartz"	0.17493
"Daniel Vacek"	0.174039
"Iva Majoli"	0.173854
"Mahesh Bhupathi"	0.173565
"Bohdan Ulihrach"	0.172962
"Greg Rusedski"	0.171129
"Martin Damm"	0.170098
"Barbara Schett"	0.169817
"Stefan Edberg"	0.169703
"Michael Chang"	0.16966
"Thomas Muster"	0.16888
"Petr Korda"	0.168327
"Todd Martin"	0.16814
"Karol Kucera"	0.16814
"Olivier Delaitre"	0.167964
"Goran Ivanisevic"	0.165848
"Gustavo Kuerten"	0.162794
"Mary Pierce"	0.162713
"Arantxa Sanchez Vicario"	0.162068
"American Todd Martin"	0.161957
Dragomir	0.161391
"Mary Joe Fernandez"	0.161263
"Carlos Moya"	0.161168
"Arantxa Sanchez-Vicario"	0.16012
"Mirjana Lucic"	0.159984
Swardt	0.159809
"Jiri Novak"	0.158127
"Wayne Arthurs"	0.157456
"Andres Gomez"	0.15623
"Yevgeny Kafelnikov"	0.156182
"Australian Mark Philippoussis"	0.15496
"Henrieta Nagyova"	0.154618
"Dennis van Scheppingen"	0.15434
"Helena Sukova"	0.153649
"Kimberly Po"	0.153179
Berasategui	0.151568
"Jelena Dokic"	0.151551
"Peter Nicol"	0.150864
Nacional	0.149927
"Jim Courier"	0.149248
Tarango	0.14693
"Russian Yevgeny Kafelnikov"	0.146514
"Mats Wilander"	0.145313
"Nicklas Kulti"	0.144816
Testud	0.144665
"Boris Becker"	0.144281
Dosedel	0.143442
"Lori McNeil"	0.143114
"Rika Hiraki"	0.141197
"Anna Kournikova"	0.140803
Damm	0.140766
"Adriana Gersi"	0.139352
"Peter Gade Christensen"	0.139282
"Jana Novotna"	0.139225
"Patrick Rafter"	0.139152
Edberg	0.138541
"Rodney Eyles"	0.136521
Likhovtseva	0.136034
Larsson	0.135685
"Jacco Eltingh"	0.134664
Schalken	0.133086
"Venus Williams"	0.132993
"Vladimir Samsonov"	0.132494
Kucera	0.13211
"Lleyton Hewitt"	0.132106
"Gong Zhichao"	0.131709
"Xia Xuanze"	0.130858
"Peter Rasmussen"	0.130548
"Janet Lee"	0.12974
"Serena Williams"	0.128738
"Jennifer Capriati"	0.128007
"Sandon Stolle"	0.127259
"Ong Ewe Hock"	0.1268
"Andre Agassi"	0.125346
"Steffi Graf"	0.125164
Corretja	0.123046
"Partizan Belgrade"	0.122794
"Alexandra Stevenson"	0.122544
"Denisa Chladkova"	0.121609
"Joko Suprianto"	0.121033
Stoltenberg	0.120862
Bjorkman	0.120577
Gustafsson	0.119332
Enqvist	0.119233
"Lindsay Davenport"	0.118183
"American Michael Chang"	0.118138
Hendrawan	0.117377
Mauresmo	0.117316
Independiente	0.116786
"Monica Seles"	0.116723
"Dong Jiong"	0.115251
"Camilla Martin"	0.114978
"Susi Susanti"	0.114395
"Dai Yun"	0.11417
"Wang Chen"	0.112953
"Martina Hingis"	0.1126
"Zhang Ning"	0.112499
"Jansher Khan"	0.112341
Krajicek	0.111829
Zamalek	0.111643
Sanchez-Vicario	0.111625
"Mike Moore"	0.111555
"Heryanto Arbi"	0.111201
Meligeni	0.1112
Halard-Decugis	0.110782
Kuerten	0.110151
Rusedski	0.109566
"Olympique Marseille"	0.108908
"North Island"	0.107985
Habsudova	0.106709
Pioline	0.106694
Raoux	0.106694
"Boca Juniors"	0.10623
"Katarina Studenikova"	0.105753
"Mia Audina"	0.105644
Zvereva	0.105338
Lapentti	0.105096
"American Andre Agassi"	0.105085
"Li Ju"	0.104985
"American Pete Sampras"	0.104382
"Fung Permadi"	0.103857
"AEK Athens"	0.103705
"Frank Nobilo"	0.103503
Prinosil	0.102895
"River Plate"	0.102884
Kafelnikov	0.102551
"American Lindsay Davenport"	0.10218
Besiktas	0.102078
Olimpia	0.10187
Bruguera	0.101775
"Jan-Ove Waldner"	0.101637
"Chinese Taipei"	0.101376
"Sandra Kleinova"	0.101196
"Pete Sampras"	0.100937
Spadea	0.100801
"Wang Shi-Ting"	0.100634
Majoli	0.10059
Santoro	0.100471
))
("Brett Tomko" (desc 3161.03) (sims
"Steve Parris"	0.331836
"Scott Sullivan"	0.294115
"Scott Williamson"	0.293966
"Pete Harnisch"	0.291061
"Freddy Garcia"	0.273624
"Brett Hinchliffe"	0.256171
"Steve Avery"	0.255511
"Brian Moehler"	0.251764
"Paul Abbott"	0.245743
"Ken Cloude"	0.234848
"Danny Graves"	0.232844
"John Halama"	0.229083
"Bryce Florie"	0.227035
"Gil Meche"	0.225311
"Ron Villone"	0.222904
"Woody Williams"	0.222317
"Dave Mlicki"	0.220187
"Jason Bere"	0.219755
"Gil Heredia"	0.214377
"Russ Ortiz"	0.21353
"Aaron Sele"	0.212155
"Frankie Rodriguez"	0.210638
"Jamie Moyer"	0.207292
"Jose Mesa"	0.204246
"Javier Vazquez"	0.203027
"Mark Gardner"	0.201684
"Denny Neagle"	0.20159
"Pete Schourek"	0.200165
"STEVE WOODARD"	0.198921
"Armando Reynoso"	0.197577
"Octavio Dotel"	0.196795
"Jon Lieber"	0.196504
"Jason Schmidt"	0.193239
"Pat Mahomes"	0.193105
"Mike Morgan"	0.192742
"Ryan Glynn"	0.19257
"Pat Hentgen"	0.191648
"Al Levine"	0.191539
"Mac Suzuki"	0.190099
"Dustin Hermanson"	0.189222
"Jim Parque"	0.187933
"Kevin Tapani"	0.187174
"Tim Wakefield"	0.187174
"John Wasdin"	0.187131
"Mark Petkovsek"	0.18554
"Juan Guzman"	0.185163
"Willie Blair"	0.184651
"Dave Burba"	0.184235
"Andy Ashby"	0.183869
"Scott Erickson"	0.183625
"Chris Carpenter"	0.183505
"Chris Holt"	0.183138
"Russ Springer"	0.183027
"Charles Nagy"	0.182174
"Jeff Weaver"	0.181833
"Brad Radke"	0.181812
"Shigetoshi Hasegawa"	0.181282
"Kent Mercker"	0.180946
"Scott Elarton"	0.180715
"Jeff Fassero"	0.180356
"Alex Fernandez"	0.180133
"Sidney Ponson"	0.177215
"Pat Rapp"	0.176997
"Francisco Cordova"	0.175538
"John Hudek"	0.175259
"John Burkett"	0.174425
"Eric Milton"	0.173302
"Darren Dreifort"	0.172827
"Scott Karl"	0.171931
"BRIAN MEADOWS"	0.17171
"Mike Remlinger"	0.171704
"Byung-Hyun Kim"	0.171642
"Jose Paniagua"	0.171116
"Paul Byrd"	0.170755
"Jamey Wright"	0.170454
"Tom Candiotti"	0.170165
"Brian Rose"	0.169569
"Jaret Wright"	0.168529
"Andy Benes"	0.168503
"Kerry Ligtenberg"	0.168393
"Ryan Dempster"	0.167643
"Matt Morris"	0.16748
"Pedro Astacio"	0.166596
"Orel Hershiser"	0.165612
"Brian Anderson"	0.165494
"Joey Hamilton"	0.165087
"Brian Bohanon"	0.164329
"Sean Bergman"	0.163815
"Kevin Millwood"	0.163794
"Mike Sirotka"	0.163463
"Matt Herges"	0.162258
"Jose Jimenez"	0.161981
"Mike Timlin"	0.161835
"Terry Mulholland"	0.161734
"Omar Olivares"	0.161466
"John Snyder"	0.160904
"Kent Bottenfield"	0.159937
"Kirk Rueter"	0.158879
"Darryl Kile"	0.158069
"Ramiro Mendoza"	0.157604
"Terry Adams"	0.15751
"Steve Trachsel"	0.156017
"Masato Yoshii"	0.155649
"Dennis Reyes"	0.155477
"Mark Wohlers"	0.154987
"Tim Hudson"	0.154637
"Paul Shuey"	0.154414
"Dwight Gooden"	0.153905
"Bret Saberhagen"	0.153236
"Ramon Ortiz"	0.152973
"Robinson Checo"	0.152208
"Shane Reynolds"	0.151858
"Jin Ho Cho"	0.150069
"Steve Sparks"	0.150047
"Jamie Arnold"	0.149722
"Chan Ho Park"	0.149116
"Kevin Appier"	0.148944
"Mark Clark"	0.148157
"Matt Mantei"	0.14774
Tomko	0.147589
"Bill Pulsipher"	0.146126
"Rod Beck"	0.145561
"Esteban Loaiza"	0.145416
"Mark Portugal"	0.145391
"Armando Benitez"	0.144916
"Scott Schoeneweis"	0.144883
"Jeff Shaw"	0.144182
"Shawn Estes"	0.144058
"Tim Belcher"	0.143949
"Jason Dickson"	0.143109
"Arthur Rhodes"	0.143053
"Rolando Arrojo"	0.142069
"Carl Pavano"	0.142059
"Curt Schilling"	0.142044
"Bartolo Colon"	0.141646
"Rick Reed"	0.141321
"Ismael Valdes"	0.141253
"Dmitri Young"	0.141054
"Vladimir Nunez"	0.140589
"Tim Crabtree"	0.140508
"Rick Helling"	0.140034
"Jesus Sanchez"	0.139851
"Jason Christiansen"	0.139769
"Hideki Irabu"	0.139611
"Jason Isringhausen"	0.138852
Harnisch	0.138403
"John Smoltz"	0.136768
"Jose Lima"	0.136301
"Tom Glavine"	0.135671
"Andy Pettitte"	0.135618
"Mike Mussina"	0.135483
"Mark Leiter"	0.135163
"Gregg Olson"	0.134751
"Jack McDowell"	0.134531
"Rick Aguilera"	0.132647
"Ramon Martinez"	0.132357
"DOUG JONES"	0.1323
"Omar Daal"	0.131819
"Eric Gagne"	0.130823
"Hideo Nomo"	0.130415
"Mike Stanton"	0.130086
"Sterling Hitchcock"	0.129483
"Ken Hill"	0.129266
"Mike Fetters"	0.128135
"Brian Cooper"	0.12812
"Kazuhiro Sasaki"	0.125162
"Livan Hernandez"	0.124855
"Paul Spoljaric"	0.124585
Benes	0.124209
"Todd Stottlemyre"	0.123719
"Mike Judd"	0.123462
"Bruce Chen"	0.122414
"Carlos Perez"	0.122324
"Derek Lowe"	0.122232
"Carlos Guillen"	0.121917
"Wilson Alvarez"	0.121867
"Robb Nen"	0.12183
"Greg Maddux"	0.121313
"Michael Tucker"	0.121233
"Antonio Osuna"	0.121173
"Bobby Jones"	0.120961
"David Cone"	0.120557
"Al Leiter"	0.120242
"Ricky Bottalico"	0.119994
"Orlando Hernandez"	0.119066
"Doug Henry"	0.118957
"Troy Percival"	0.118945
Rueter	0.11894
"Mike Holtz"	0.118692
"Bob Wickman"	0.118498
"John Wetteland"	0.118134
"Jeff Zimmerman"	0.117952
"Rudy Seanez"	0.117843
"Chuck Finley"	0.117796
D'Amico	0.117202
"Turk Wendell"	0.117026
"Rick White"	0.116475
"Mike Hampton"	0.116472
"Danny Patterson"	0.116338
Hentgen	0.116306
"Alan Embree"	0.11623
"Mike Magnante"	0.116092
"Justin Thompson"	0.115972
"Jeff Brantley"	0.115397
"Dennis Cook"	0.1153
"Brad Penny"	0.114651
"Roberto Hernandez"	0.114408
"Donne Wall"	0.114329
"Jarrod Washburn"	0.114086
"Eddie Taubensee"	0.11401
"James Baldwin"	0.113863
"Heathcliff Slocumb"	0.113845
"Jason Grimsley"	0.113777
"Mark Langston"	0.113743
Astacio	0.113261
"Aaron Boone"	0.113206
Rusch	0.112655
Bottenfield	0.112452
"Mariano Rivera"	0.112316
"Jeff Nelson"	0.112257
"Billy Wagner"	0.112141
"Darren Oliver"	0.111803
"Allen Watson"	0.11173
Hermanson	0.111192
"Randy Myers"	0.110858
"Ugueth Urbina"	0.110625
Bere	0.110539
"Kenny Rogers"	0.109513
"Doug Davis"	0.109265
"Alan Mills"	0.10923
"Rich Rodriguez"	0.107986
"Greg McMichael"	0.107945
"Jay Powell"	0.107698
"Odalis Perez"	0.10739
"Mike Cameron"	0.107143
"Billy Taylor"	0.106618
"Barry Larkin"	0.106101
Dreifort	0.105908
"Mike Williams"	0.105826
Arrojo	0.105628
"Scott Radinsky"	0.105482
"Rich Garces"	0.104895
"Dennis Martinez"	0.104381
"Kevin McGlinchy"	0.104059
Ankiel	0.10393
Glavine	0.103726
"Pedro Borbon"	0.103011
"Dan Miceli"	0.10278
"Tom Gordon"	0.101467
"Stan Javier"	0.100517
Mahomes	0.100189
))
(Breuer (desc 1776.09) (sims
Tevanian	0.14338
Ruehe	0.130111
Jarrell	0.125643
Myhrvold	0.120302
Bronfman	0.118746
Farber	0.117581
Granik	0.114498
Reimer	0.108345
Eizenstat	0.107581
Rodionov	0.106512
LaPierre	0.106392
Dunleavy	0.106275
Guidry	0.106181
Lindsey	0.106083
Caddell	0.105898
Colburn	0.104527
Glaser	0.102584
Singson	0.102283
Schmalensee	0.0999733
Maritz	0.0994596
DeFrantz	0.0994454
Hauser	0.0992408
Duisenberg	0.0980666
Ulrich	0.0978838
Hickman	0.0977387
Fassett	0.0975318
Alioto	0.0973633
Zadornov	0.0966973
Samuelson	0.0966189
Ratner	0.0965544
Marineau	0.0964163
Tsang	0.0957429
Hybl	0.0940757
Maslyukov	0.0934166
Goldin	0.092613
Blumenthal	0.0923292
Mendez	0.0921236
Meissner	0.0920663
Sato	0.0920422
Summitt	0.0913052
Zucker	0.0906382
Rosen	0.0901906
Trulock	0.0901832
Alarcon	0.0899099
Troussier	0.0898507
Kornberg	0.0897288
Felten	0.0895326
Arum	0.0893736
Rossotti	0.0892135
Heinrichs	0.0889678
Barksdale	0.0887863
Siazon	0.087564
Zamora	0.0872079
Kushner	0.0861513
Rothenberg	0.0859596
Hamlin	0.0850883
Advani	0.084995
Bambang	0.0848068
Ruggiero	0.0845587
Ebbers	0.0842289
Zacarias	0.0825624
Satcher	0.0820752
Wilhelm	0.0817413
"administration official"	0.0816523
Joklik	0.0813981
Finkel	0.0809023
Kessler	0.0808906
Eubanks	0.0808076
Gosper	0.0807879
Lamont	0.0807212
Gutman	0.0807093
Fernandes	0.0803712
Sheehan	0.0803237
Quackenbush	0.080319
Scharping	0.0800236
Rongen	0.0798567
Popovich	0.0796616
Tanaka	0.0794817
Havelange	0.0794339
Greenwald	0.0793328
Wenger	0.0791857
Schmid	0.079081
Haskins	0.0786631
Carollo	0.0784634
Okada	0.0784064
Barshefsky	0.0782825
Braswell	0.078267
Azizan	0.0781567
Kearin	0.0776592
Cooley	0.0775176
Moonves	0.0773115
Talebi	0.0771984
Cochran	0.0771655
Hasan	0.0768675
Godfrey	0.0768083
Nasser	0.0768071
"La Russa"	0.0766703
Mudge	0.0762359
Verney	0.0761301
Arbour	0.0760876
Poole	0.0760774
Constantinescu	0.0760323
Fagan	0.0760055
Padilla	0.0758074
Jayasinghe	0.0756568
Bakaly	0.0756512
Meskini	0.0755468
Freeh	0.0755428
Esser	0.0749216
Andreessen	0.0749152
Ono	0.0749124
Madden	0.0747803
Vance	0.0747518
Zambrano	0.0747179
Ruff	0.074618
Nikitin	0.0744379
Diouf	0.0742453
O'Neil	0.0741376
Hoddle	0.0740849
"Superintendent Ruben Zacarias"	0.0740321
Atwood	0.0739387
Ikeda	0.0738571
Cianci	0.0738569
Connolly	0.0738469
Podesta	0.0737711
Greenspan	0.0733103
cain	0.0732822
Mfume	0.0732511
Insulza	0.0730108
Vasile	0.0729294
Sommer	0.0727862
Schaeuble	0.0726632
Ackerman	0.0725391
Levinson	0.0725095
Papandreou	0.0723653
Daft	0.072361
Shinn	0.0723203
Bizimungu	0.0723045
Aguirre	0.072174
Passarella	0.072134
Katzenberg	0.0719687
Hrawi	0.0719664
ISSEL	0.0719395
DERSHOWITZ	0.0719176
Rubenstein	0.0716961
Rendell	0.0715042
Koskinen	0.071417
Camdessus	0.0714015
"Wim Duisenberg"	0.0713865
Constantine	0.0712197
Storin	0.0710946
Rossi	0.0710924
Malu	0.070951
"de Charette"	0.0708249
Wolfson	0.0706105
Ritter	0.0705432
Holzman	0.0702556
Naumann	0.0702536
McDonough	0.0702533
Allchin	0.0702532
Ottey	0.070235
Sorensen	0.0702149
Gullikson	0.0701061
Currie	0.0696959
Grasso	0.069609
Chappell	0.0695511
Ferrer	0.0695018
Scelzi	0.0694674
Alatas	0.0693961
Lipponen	0.0693272
Botha	0.0691998
Geiger	0.0691344
Kesri	0.0691342
Jovanovic	0.0689911
Stroyev	0.0689456
Riordan	0.0686801
Ivester	0.0686464
Shevardnadze	0.0686239
Goossen	0.0685759
Cremins	0.0685393
Rashid	0.068465
Sykes	0.0684295
Valenti	0.0683632
Paxon	0.0681504
Aventajado	0.0681312
"Maturino Resendiz"	0.0680625
Rosenthal	0.0680104
Biden	0.0679984
Fleischer	0.0679638
Kupchak	0.0679435
"Yuri Maslyukov"	0.0679232
Huang	0.0677874
Horner	0.0675658
Bennett	0.0675183
Devine	0.067491
Fleisher	0.0672894
Longo	0.0672522
Haughey	0.0672361
Flanagan	0.0672206
Romer	0.0671864
))
("Brevin Knight" (desc 1104.15) (sims
"Zydrunas Ilgauskas"	0.209155
"David Wesley"	0.20779
"Eric Snow"	0.195915
"Bob Sura"	0.186846
"Malik Sealy"	0.172342
"Michele Timms"	0.16842
"Brandon Granville"	0.166423
"Steve Nash"	0.165529
"Damon Stoudamire"	0.163232
"Tariq Abdul-Wahad"	0.158131
"Derek Anderson"	0.157117
"Ron Mercer"	0.154679
"Wayne Turner"	0.154057
"Nick Van Exel"	0.151348
"Terrell Brandon"	0.143338
"Doug Christie"	0.143098
"Sherman Douglas"	0.142808
"Rod Strickland"	0.142439
"Sam Cassell"	0.137428
"Avery Johnson"	0.135903
"Kim Perrot"	0.133593
"Darrick Martin"	0.129721
"Derek Fisher"	0.127661
"Ryan Bailey"	0.126813
"Bimbo Coles"	0.126465
"Mookie Blaylock"	0.126342
"Matt Santangelo"	0.125661
"Teresa Weatherspoon"	0.124945
"Jason Kidd"	0.122961
"Maurice Taylor"	0.12188
"Eric Murdock"	0.121731
"Lamond Murray"	0.119798
"Darrell Armstrong"	0.119593
"Travis Best"	0.119017
"Anthony Johnson"	0.117286
"Robert Pack"	0.116853
"Earl Watson"	0.116463
"Dawn Staley"	0.116276
"Mark Jackson"	0.114666
"Howard Eisley"	0.113991
"B.J Armstrong"	0.113471
"Ricky Moore"	0.113344
"Tim Hardaway"	0.112875
"Bobby Phills"	0.112164
"Jeff Trepagnier"	0.112043
"Khalid El-Amin"	0.111661
"Greg Anthony"	0.109943
"Voshon Lenard"	0.109553
"Nick Anderson"	0.108986
"Kenny Anderson"	0.107665
"Larry Hughes"	0.107544
"Chauncey Billups"	0.107458
"Ukari Figgs"	0.105306
"Terry Porter"	0.103869
"Lamar Odom"	0.103008
"Andre Miller"	0.101439
"Charlie Ward"	0.101123
"Cuttino Mobley"	0.0998955
"Donyell Marshall"	0.0998582
"Derek Harper"	0.0992265
"Mike Bibby"	0.0988172
"Jason Terry"	0.0984853
"Shammond Williams"	0.0976614
"Brent Price"	0.0974742
"Matt Maloney"	0.0968229
"Eric Piatkowski"	0.0966208
"Mateen Cleaves"	0.0962273
"Jimmy Oliver"	0.0954672
"Kendall Gill"	0.0954477
"Scoonie Penn"	0.0944865
"Ray Allen"	0.0944056
"Tyrone Nesby"	0.0943098
"Jason Williams"	0.0942692
"Bryce Drew"	0.0940203
"Tyronn Lue"	0.0922669
"Chris Gatling"	0.0922532
"Eddie House"	0.0920827
"Michael Redd"	0.0917826
Mercer	0.0911828
"Hersey Hawkins"	0.0901993
"Kevin Johnson"	0.089549
"Joe Dumars"	0.0893542
"Hubert Davis"	0.0888414
"Bonzi Wells"	0.0883643
"Billy Knight"	0.0870721
"Antonio Daniels"	0.0863622
"Rex Chapman"	0.0862726
STALEY	0.0860366
Nesby	0.0859748
"Randy Brown"	0.0852362
"Shawn Kemp"	0.0845519
"John Stockton"	0.0834246
"Mitch Richmond"	0.0831548
"Courtney Alexander"	0.0826305
"Gary Payton"	0.0826164
"Adrian Griffin"	0.0825478
"Isaiah Rider"	0.0821845
"William Avery"	0.0821059
Mabry	0.0816919
"Dale Ellis"	0.0816234
"Derrick Coleman"	0.0816132
"Dan Majerle"	0.0814865
"Jalen Rose"	0.0814624
"Dion Glover"	0.0813625
"Stephon Marbury"	0.081337
Hornacek	0.0812537
"Richard Jefferson"	0.0812432
"Gene Williams"	0.0805838
"Jeff Hornacek"	0.080173
"Toby Bailey"	0.079972
"Jim Jackson"	0.0799718
Scoonie	0.0796311
"Ron Harper"	0.0792156
"Dana Barros"	0.0790769
"Chris Mullin"	0.0789726
"Todd Rucci"	0.0788849
"Michael Finley"	0.0781316
"Erick Barkley"	0.0774769
"Nikki McCray"	0.0762003
"Kerry Kittles"	0.0757548
Lieberthal	0.0750736
"Jaren Jackson"	0.0750643
"Baron Davis"	0.0748866
"Hu Weidong"	0.0746258
"Tracy McGrady"	0.0745057
"Sam Mack"	0.0745051
"Allen Iverson"	0.0741856
"Kobe Bryant"	0.0723421
DiSarcina	0.0722911
"Mark Williams"	0.0716368
Timms	0.0715143
"Brian Shaw"	0.071202
"DeLisha Milton"	0.0709116
"Christian Laettner"	0.0700736
"Kelvin Cato"	0.0700082
"Penny Hardaway"	0.06995
"Nate Newton"	0.0698582
"Heath Irwin"	0.0693286
"Antoine Walker"	0.0692606
"Steve Francis"	0.0691614
"Steve Smith"	0.0691324
"Ray Young"	0.0688079
"Chris Childs"	0.0687513
"Brent Barry"	0.0686906
"Kris Clack"	0.0678348
"Arvydas Sabonis"	0.0674216
"Vernon Maxwell"	0.0672234
"Bruce Matthews"	0.0670886
Baines	0.0669397
Nevin	0.0669175
"Flozell Adams"	0.066824
"John Starks"	0.0668078
"Michael Dickerson"	0.0665152
"Cynthia Cooper"	0.0662749
"Doc Rivers"	0.0661847
"Brian Grant"	0.0661184
"George McCloud"	0.0660221
"Elden Campbell"	0.0658495
Scalabrine	0.0658211
"Ruben Patterson"	0.0657796
"Rico Hines"	0.0655159
Lafleur	0.0654475
Hollins	0.0651703
"Larry Allen"	0.0642579
"Jose Cruz Jr."	0.0642571
"Jamal Mashburn"	0.0640751
"Trajan Langdon"	0.0640119
"Brian Skinner"	0.0639044
"Kevin Garnett"	0.0638042
"Shareef Abdur-Rahim"	0.0634717
"Kenyon Martin"	0.0632857
Granville	0.0632823
Lankford	0.0631754
"Allan Houston"	0.0630163
"Eric Williams"	0.0628456
"Craig Paquette"	0.0625939
"Anfernee Hardaway"	0.0625936
"Shandon Anderson"	0.0623788
"Danny Fortson"	0.062063
"Everett McIver"	0.0620275
"Vin Baker"	0.0619666
"Richard Hamilton"	0.0619603
Konerko	0.0619049
"Juwan Howard"	0.0613168
Fizer	0.0609753
Tejada	0.0608323
"Eddie Jones"	0.0608056
"Chris Mills"	0.0607505
El-Amin	0.0601855
"Fernando Vina"	0.0599975
Smits	0.0598836
"Glenn Robinson"	0.0593467
"Gary DiSarcina"	0.0593397
"Anthony Mason"	0.0592133
Abreu	0.0590256
Andreychuk	0.0588705
"Bruce Bowen"	0.0587882
"Mario Elie"	0.0587701
"Raul Diaz Arce"	0.0586604
"Reggie Miller"	0.058374
))
(brevity (desc 3225.15) (sims
fierceness	0.0796633
simplicity	0.0709672
cleverness	0.0653879
completeness	0.0649953
narrowness	0.0627004
subtlety	0.0605805
decisiveness	0.0599105
thoroughness	0.0597498
coherence	0.0582656
liveliness	0.0574957
newness	0.0570343
quickness	0.0539661
sharpness	0.0536442
spontaneity	0.0534737
directness	0.0534699
ferocity	0.0534018
modesty	0.0530136
playfulness	0.0525267
showmanship	0.0521686
strangeness	0.0520518
universality	0.0514418
"sum total"	0.0513317
immediacy	0.05094
friendliness	0.0507614
candor	0.0501307
refinement	0.0499144
"first moment"	0.0493293
objectivity	0.0491855
foretaste	0.0491819
elegance	0.0488189
smoothness	0.0486807
unanimity	0.0485557
predictability	0.0479936
sophistication	0.0473631
verve	0.0472811
eloquence	0.0467383
purity	0.0463118
gist	0.0460923
frankness	0.046041
veracity	0.0460139
clarity	0.0459146
subtext	0.0458677
breadth	0.0456827
"first five days"	0.0455143
postponement	0.045455
buoyancy	0.0446677
durability	0.0445208
affordability	0.0443961
moderation	0.0441413
articulation	0.0439081
squandering	0.0438758
originality	0.0436403
toughness	0.0433688
minutiae	0.0433113
suddenness	0.0430418
understatement	0.0429937
verisimilitude	0.0429296
elaboration	0.0422779
poignancy	0.0422047
timeliness	0.0420639
boldness	0.0420294
audacity	0.041961
ordinariness	0.0418744
grandiosity	0.0417821
realism	0.0416507
blackness	0.0415418
insouciance	0.0413587
antecedent	0.0412541
brilliance	0.0411216
agility	0.0410552
"first four years"	0.0409869
rightness	0.0406417
synopsis	0.0405058
brightness	0.0401594
))
(brew (desc 10072.6) (sims
drink	0.0970779
stew	0.0953426
concoction	0.0888115
ale	0.0863343
Beer	0.0854465
cocktail	0.0845742
beverage	0.079906
liquor	0.0783289
Liquid	0.0773875
cider	0.0756215
broth	0.0744156
soup	0.07383
tea	0.0728356
"hot chocolate"	0.0711913
wine	0.071014
blend	0.0707501
"green tea"	0.0678796
sauce	0.0676097
whisky	0.0673542
"red wine"	0.0664468
aroma	0.0659833
"mineral water"	0.0654708
aperitif	0.0638708
coffee	0.0629134
"iced tea"	0.0624398
espresso	0.0622711
potion	0.0622564
"white wine"	0.062211
"alcoholic beverage"	0.0621459
mixture	0.0621175
Fragrance	0.0620904
cola	0.0617961
Calvados	0.0615741
cappuccino	0.0613865
brandy	0.0600012
flavor	0.0598252
lager	0.0596947
Riesling	0.0592783
"sparkling wine"	0.0586079
Zinfandel	0.0585437
lemonade	0.0580904
"black tea"	0.0575155
Cognac	0.0574267
cuisine	0.0570621
"root beer"	0.0563154
"chemical compound"	0.0561396
flavour	0.0561355
merlot	0.0558157
"soft drink"	0.0557895
Cabernet	0.0547553
Kool-Aid	0.0546749
distillation	0.0545778
smorgasbord	0.0544238
scent	0.0542237
dish	0.0536273
"orange juice"	0.053595
mishmash	0.0534808
rum	0.0533493
poison	0.0524863
milk	0.0523647
alcohol	0.0523051
substance	0.0522585
scotch	0.0519767
perfume	0.0515848
mouthful	0.0515699
juice	0.0514955
Chardonnay	0.0514249
delicacy	0.0510973
curry	0.0507591
contraption	0.0505526
Margarita	0.0502983
champagne	0.0501767
dessert	0.0501405
vodka	0.0498503
absinthe	0.0498293
"Pinot noir"	0.0496781
salad	0.0495089
defoliant	0.0494888
soda	0.0492993
bubbly	0.0491394
"chemical agent"	0.0491339
cheese	0.0488147
herb	0.0487339
"ice cream"	0.0486036
fruit	0.0485579
whiskey	0.0484568
"waiting game"	0.0480014
ingredient	0.0478462
syrup	0.0478193
chocolate	0.0477364
elixir	0.0475941
liqueur	0.0474865
"spring water"	0.0473846
Martini	0.0466323
chowder	0.0466079
vapor	0.0465716
isotope	0.0458426
Fondue	0.0457869
aftertaste	0.0457139
gumbo	0.0457012
Pudding	0.0456384
"Diet Coke"	0.0453672
noodle	0.0451615
marinade	0.0450777
"apple juice"	0.0445707
smoothie	0.0444556
stout	0.0444042
POTPOURRI	0.044346
custard	0.0441821
condiment	0.0439922
bread	0.043905
gravy	0.0436829
paste	0.043637
cake	0.0435254
hybrid	0.0433581
tequila	0.0433356
biscotti	0.0431947
toxin	0.0431831
grape	0.0430552
"food product"	0.0430244
combo	0.0429721
microbe	0.0428672
residue	0.0428337
cigarette	0.0428292
sausage	0.0428132
amalgam	0.0424338
doughnut	0.0423677
spice	0.0422463
cream	0.04219
refreshment	0.0421562
insecticide	0.0421494
goo	0.0419026
pancake	0.041846
"Cabernet Sauvignon"	0.0418285
"singing voice"	0.0417239
spirits	0.0416983
stimulant	0.0416703
appetizer	0.0415123
cocoa	0.0413386
mussel	0.041321
melange	0.0409188
Sarin	0.0408223
venom	0.0407928
"hard drug"	0.0407234
pigment	0.0405955
Beaujolais	0.0405858
yogurt	0.0404631
crab	0.0403298
contaminant	0.0402625
nectar	0.040167
fume	0.0400793
hormone	0.0400732
))
(brewer (desc 31276.9) (sims
"White Sox"	0.19049
Padre	0.187228
Phillies	0.182704
ASTROS	0.180894
Orioles	0.180103
cub	0.178452
marlin	0.177565
Royals	0.171425
diamondback	0.170241
dodger	0.169213
mariner	0.163874
brave	0.161876
Expo	0.160484
A's	0.159395
"blue jay"	0.158374
Mets	0.156268
"devil ray"	0.154294
"Red Sox"	0.153108
"Milwaukee Brewers"	0.150931
Giants	0.148046
pirate	0.148046
cardinal	0.14689
Sox	0.14189
ranger	0.139416
"New York Mets"	0.138029
Yankee	0.132746
Rockies	0.13029
"Los Angeles Dodgers"	0.129353
angel	0.128196
"Chicago Cubs"	0.125168
"St. Louis Cardinals"	0.124438
"Cincinnati Reds"	0.12427
"Cleveland Indians"	0.121328
"Atlanta Braves"	0.118519
Milwaukee	0.117375
"Pittsburgh Pirates"	0.11517
twin	0.114898
"Kansas City Royals"	0.114812
"Boston Red Sox"	0.11479
"Detroit Tigers"	0.113902
"Colorado Rockies"	0.113729
"Texas Rangers"	0.113239
"New York Yankees"	0.112758
tiger	0.112115
Indian	0.111977
"Seattle Mariners"	0.109452
"Houston Astros"	0.109416
"Chicago White Sox"	0.108004
"Tampa Bay"	0.107385
"Montreal Expos"	0.106936
"San Francisco Giants"	0.105395
"Anaheim Angels"	0.103893
"Florida Marlins"	0.103496
"Baltimore Orioles"	0.103476
red	0.101885
"Philadelphia Phillies"	0.101668
"Toronto Blue Jays"	0.10101
"Oakland Athletics"	0.100809
"Arizona Diamondbacks"	0.100418
"San Diego Padres"	0.100137
"Tampa Bay Devil Rays"	0.0977372
"Minnesota Twins"	0.0953047
Cleveland	0.0948158
Baltimore	0.0926707
Oakland	0.0921815
Redskin	0.0916973
oiler	0.0913815
ANAHEIM	0.0913553
Celtics	0.0897162
Steelers	0.0896023
maverick	0.0894876
BEARS	0.0892111
clipper	0.0889791
Bengals	0.0887201
bruin	0.0870388
Cincinnati	0.08662
athletics	0.0864447
Montreal	0.0862397
Toronto	0.0858688
Seahawks	0.0857224
Sonics	0.0851182
Eagles	0.0851142
panther	0.0840475
king	0.0829454
"Washington Redskins"	0.082616
islander	0.0825956
Canuck	0.0825651
Hornet	0.0819534
Lakers	0.0819363
"Los Angeles Lakers"	0.0816975
Timberwolves	0.080773
Canadiens	0.0806205
hawk	0.0805659
"Sacramento Kings"	0.0802622
packer	0.0792299
brewery	0.0787106
Trojan	0.0785311
"St. Louis"	0.0783615
"Lawrence Russell Brewer"	0.0782164
"San Diego"	0.0781789
falcon	0.0778249
Detroit	0.0773709
"Mighty Ducks"	0.0773194
grizzly	0.0772448
Pittsburgh	0.0771236
cowboy	0.0770281
MetroStars	0.076519
charger	0.0764125
"New York Giants"	0.0756329
Seattle	0.0755645
Raven	0.0750737
raider	0.0749038
"Kansas City"	0.0745711
wildcat	0.0744255
"Red Wings"	0.0743075
pacer	0.0740986
patriot	0.073888
Sparks	0.0733904
ram	0.0730691
"Washington Senators"	0.0727021
"Brooklyn Dodgers"	0.0726969
"Cleveland Browns"	0.0726681
flyer	0.0724395
Minnesota	0.0723909
"Chicago Bears"	0.072355
"Dallas Cowboys"	0.0722806
"Minnesota Vikings"	0.0718959
piston	0.0716669
"San Francisco @@ers"	0.0714908
"Miami Dolphins"	0.0712682
Knicks	0.0711028
sixer	0.0709847
"Edmonton Oilers"	0.0707723
"ATLANTA FALCONS"	0.0706754
Arizona	0.0705023
coyote	0.0704134
Berenson	0.0700582
nugget	0.0692072
bronco	0.0688838
"Atlanta Hawks"	0.0688642
"Florida Panthers"	0.0688044
gamecock	0.0687886
"Phoenix Suns"	0.0687385
matador	0.0683984
Colorado	0.068356
Boston	0.0683206
Viking	0.0681046
"Baltimore Ravens"	0.0680995
"life insurer"	0.0679435
devil	0.0678716
BUCCANEER	0.0677348
sabre	0.0675553
"Green Bay Packers"	0.0674895
thrasher	0.066899
"Philadelphia Eagles"	0.0668604
"Philadelphia Flyers"	0.0668525
"Los Angeles Kings"	0.0666259
lion	0.0660165
Blackhawks	0.0660011
Raptor	0.0659516
spur	0.0658949
Cavs	0.0658194
"St. Louis Rams"	0.0658081
"Detroit Pistons"	0.0658048
"Los Angeles Clippers"	0.0656399
"Washington Capitals"	0.0654432
berry	0.0653418
blazer	0.0653236
"Green Bay"	0.0652069
Edmonton	0.0648962
Pepperdine	0.0646604
"Charlotte Hornets"	0.0646188
"Detroit Red Wings"	0.0646094
colt	0.0645668
"Indianapolis Colts"	0.0645617
Atlanta	0.0645532
McGinn	0.0642511
"New England Patriots"	0.0641346
"Dallas Stars"	0.0638435
"Montreal Canadiens"	0.063642
Rogers	0.0634871
"Vancouver Canucks"	0.0634867
"Milwaukee Bucks"	0.0634011
Houston	0.0632044
"Kansas City Chiefs"	0.0631722
"Chicago Bulls"	0.0631179
"Oakland Raiders"	0.0630986
"Shawn Berry"	0.0630466
Skakel	0.0629372
Brown	0.0628067
bull	0.0627441
"Maple Leafs"	0.0627412
Saint	0.0627169
Sheinbein	0.0627157
"New York Rangers"	0.0625192
"Golden State Warriors"	0.062488
"banking company"	0.062146
"New York Islanders"	0.0619845
bulldog	0.0618578
"New York Jets"	0.0618541
))
(brewery (desc 14552.1) (sims
"paper mill"	0.145879
distillery	0.13528
tannery	0.131011
mill	0.121518
factory	0.11618
winery	0.11588
"oil refinery"	0.115278
"textile mill"	0.115001
smelter	0.109348
refinery	0.106484
"manufacturing plant"	0.104626
shipyard	0.102591
"flour mill"	0.101529
"steel mill"	0.0991886
"insurance firm"	0.0968616
"copper mine"	0.0964974
sawmill	0.0956621
"food company"	0.0935815
"power plant"	0.0915921
"auto maker"	0.0913632
"department store"	0.090513
"shipping company"	0.089429
"gas station"	0.0882246
"advertising agency"	0.0858312
"trucking company"	0.0851068
"funeral home"	0.0842476
slaughterhouse	0.0840582
bakery	0.0838611
"publishing house"	0.083857
"mining company"	0.082458
"brokerage house"	0.0821693
"travel agency"	0.0819678
"retail chain"	0.0817811
foundry	0.0817768
"industrial enterprise"	0.0813133
shipbuilder	0.0812621
"chain store"	0.0812377
enterprise	0.0810654
Warehouse	0.0810284
brokerage	0.0808448
"telephone company"	0.0806633
dealership	0.0805153
"dairy farm"	0.0804956
"machine shop"	0.0802638
distributorship	0.0801272
"car maker"	0.0800483
"television station"	0.0800262
"ad agency"	0.0797412
bottlers	0.0795741
"publishing company"	0.0790633
"TV station"	0.07878
"life insurer"	0.0787595
brewer	0.0787106
"brokerage firm"	0.0785165
"auto company"	0.0781175
cannery	0.0780328
"insurance company"	0.0775417
"production line"	0.0773749
oilfield	0.077228
airline	0.0771751
conglomerate	0.0770513
"power company"	0.0766798
automakers	0.0760606
"joint venture"	0.0758941
automaker	0.0756015
"defense contractor"	0.075047
"finance company"	0.0750297
farm	0.074726
carmakers	0.0743087
"financial institution"	0.0739903
hotel	0.0732273
"bus company"	0.0727476
manufacturer	0.0725351
"theme park"	0.0724512
depot	0.0723123
"sales outlet"	0.0722423
"retail operation"	0.0719644
"auto manufacturer"	0.0719504
utility	0.0718458
steelmaker	0.071842
refiner	0.0717878
"radio station"	0.0717762
subsidiary	0.0714485
"post office"	0.0714038
mine	0.0713177
Casino	0.0711625
"shopping center"	0.0708452
carmaker	0.0707213
"steel company"	0.0706572
wholesaler	0.0704453
dairy	0.0694154
"accounting firm"	0.0693878
"art gallery"	0.0690758
"stock exchange"	0.0687846
kiln	0.0686884
"commercial bank"	0.0686477
"service station"	0.0686382
"employment agency"	0.0683327
"cattle ranch"	0.0680363
quarry	0.0680068
"power station"	0.0679359
VISTEON	0.067206
corporation	0.0671721
"retail store"	0.0671433
"movie theater"	0.0671172
dealerships	0.0671077
railroad	0.066694
"telephone network"	0.0663892
"chemical industry"	0.0662643
"investment trust"	0.0662232
"banking company"	0.066127
"holding company"	0.0659082
"office building"	0.0656779
"electronics company"	0.0656582
"liquor store"	0.0655718
godown	0.065272
museum	0.0651522
restaurant	0.0651234
waterworks	0.0651074
maker	0.0649376
"nursing home"	0.0645928
"Learning Co."	0.0641817
"law practice"	0.0641715
"real estate"	0.0639266
"insurance business"	0.0639176
"Digital Equipment Corp."	0.0635122
"research center"	0.0634684
"oil well"	0.0633113
"subsidiary company"	0.0631989
venture	0.0631927
"opera company"	0.0630738
pharmaceutical	0.0630721
"educational institution"	0.062899
drugstore	0.0628754
multinationals	0.0627205
hospital	0.0626838
plantation	0.0625851
"restaurant chain"	0.0625775
supermarket	0.0623343
"phone company"	0.0620799
Delphi	0.062043
bureaus	0.0619384
"department store chain"	0.0618391
incinerator	0.061828
"production facility"	0.0618193
SOEs	0.0616225
"nuclear reactor"	0.0613955
YankeeNets	0.0613501
distributor	0.0612977
reactor	0.0612783
zoo	0.0612457
startup	0.0611633
chain	0.06112
"medical center"	0.0610764
"hardware store"	0.0608769
"savings bank"	0.0608159
"convenience store"	0.0607819
Pharmacy	0.0607696
"pumping station"	0.0607244
synagogue	0.0604017
"opera house"	0.0603888
"movie studio"	0.0603597
bookstore	0.0601355
"investment fund"	0.0600558
retailer	0.0599601
"shopping mall"	0.0599542
manufacturing	0.0598908
supplier	0.0597836
"Special Economic Zones"	0.0597184
grower	0.059613
Beer	0.0595461
Monastery	0.059477
institute	0.0594556
"apartment building"	0.0594356
"railway system"	0.05935
"transportation company"	0.0593498
"amusement park"	0.0592877
carrier	0.0592831
"futures exchange"	0.0592018
"car manufacturer"	0.0591836
auto	0.0591289
institution	0.0590847
tavern	0.0590228
"filling station"	0.0588579
"furniture company"	0.058799
"test-tube baby"	0.0587672
"jewelry store"	0.0586334
importer	0.0585499
cooperative	0.0584468
"medical institution"	0.0584317
state-owned	0.0583065
"Chrysler Corp."	0.0582744
laboratory	0.0582408
"software maker"	0.0581986
Chrysler	0.0581811
"cable operator"	0.0580945
"state enterprise"	0.0580518
"automobile industry"	0.0579845
university	0.0579814
Hyundai	0.0579517
))
(Brewster (desc 1316.18) (sims
Chatham	0.112024
Tarrytown	0.0995477
Hersh	0.097793
Posoltega	0.0954877
Skaneateles	0.0908683
Walpole	0.0907013
Bridgehampton	0.0879388
Latham	0.0872922
Melrose	0.0860518
Hempstead	0.0826971
Bellush	0.0799454
Shriver	0.0777545
Whaley	0.0777401
Peekskill	0.077387
MINEOLA	0.076959
Bedford	0.0768641
Grasso	0.0766324
Peabody	0.0766045
Plattsburgh	0.076017
Warwick	0.0751875
Sund	0.0749978
Lawler	0.0745137
Kennelly	0.0741244
Greenfield	0.0738037
Hallinan	0.073412
Watertown	0.0728957
Holyoke	0.0721019
Aquino	0.0717743
Webster	0.0712412
Hyannis	0.0709062
Doherty	0.0700056
Carmel	0.0696451
Zhangbei	0.0695881
Norwood	0.0694238
Fordice	0.0687741
Myhrvold	0.0678738
Lenox	0.0677074
Speer	0.0674084
Summitt	0.0670067
Braintree	0.0665277
Farnsworth	0.0659878
Chappaqua	0.0659275
"Great Neck"	0.0656118
Mehta	0.065543
Soriano	0.0654935
Irvington	0.0654617
Bechtel	0.0651791
Ashrawi	0.0651425
Walden	0.0650225
Hopkinton	0.064516
Gloucester	0.0645039
Noe	0.0644168
Greco	0.0640548
Acton	0.0640374
"Saratoga Springs"	0.0640313
Kraus	0.0631081
Ashland	0.0627943
"Garden City"	0.062644
Kidman	0.0625904
Edelstein	0.0622107
BRIGHTON	0.061809
krueger	0.0615764
Chenoweth	0.0615071
Catskill	0.0614093
Mackey	0.06104
Schell	0.0605312
Easton	0.0604815
jacoby	0.0602938
Dixon	0.0602693
Boles	0.0602239
Carlisle	0.0598781
Ziegler	0.0598745
Kern	0.0598717
Bridgewater	0.0598163
Gooding	0.0597579
"Jim Harrick"	0.0596749
Paxon	0.0596306
Lyons	0.059626
Markovic	0.0596001
Brockton	0.0595759
Braugher	0.0594887
Needham	0.059448
Somerville	0.0593431
Middleton	0.0591537
Zagat	0.059086
Upton	0.0590436
Loeb	0.0590073
Bayonne	0.0589882
Provincetown	0.0586948
Hartman	0.05861
Dickerson	0.0584676
Rosario	0.0582726
Utica	0.0582605
Falmouth	0.0582178
"Sleepy Hollow"	0.0581292
Stahl	0.0580425
Ipswich	0.0580082
Bessette	0.0580001
Cumberland	0.058
Stafford	0.057984
"New Rochelle"	0.0578872
Mansfield	0.0578815
Taba	0.0577332
Healy	0.0577211
Madden	0.057688
Sykes	0.0576457
Randolph	0.0576115
Quintana	0.0575225
Horowitz	0.057466
Pelham	0.0574382
Pleasantville	0.0572751
Burlington	0.0572483
Amherst	0.0571982
Elmira	0.0571458
Schmid	0.0570536
Onassis	0.0567645
"Stony Brook"	0.0567409
Wolfe	0.0566592
"East New York"	0.056503
Soto	0.0563187
ATTLEBORO	0.0562644
Neulander	0.0562614
"W.C. Fields"	0.0561763
Dorchester	0.0560916
Maynard	0.0558485
Roxbury	0.0558187
Capps	0.055777
Simons	0.0557524
Cornwall	0.055684
Grimes	0.0556706
Hiett	0.0556437
Salem	0.0555926
Napolitano	0.0555799
Rosenberg	0.0554066
Butterworth	0.055295
"Long Island City"	0.0551141
Hatfield	0.0550416
Malden	0.055012
Jericho	0.0549833
"East Hampton"	0.0549606
Hitchens	0.0547656
Mathews	0.0546152
bethel	0.0542278
"Woods Hole"	0.0539117
Stockbridge	0.0537616
Muir	0.0535922
Westfield	0.053497
Alcantara	0.0534916
McLaughlin	0.0534019
Stacy	0.0533243
Poughkeepsie	0.0532217
Cleese	0.0531727
McDaniel	0.0531631
Slatkin	0.0530785
Seneca	0.053074
Goodman	0.0529916
"Fall River"	0.0529054
"Food Lion"	0.0528537
Prescott	0.0528383
Mumford	0.0527891
Ithaca	0.0527214
Fuhrman	0.0525477
Larson	0.0522825
Hawthorne	0.0522119
Sorkin	0.0521945
Collier	0.0519693
Golisano	0.0518717
Mendez	0.0518611
Pittman	0.0517959
Midler	0.0517355
Beverly	0.0516319
Brookhaven	0.051494
Riverhead	0.0514838
Essex	0.0513847
Pirro	0.0513481
Neumann	0.0513466
Flores	0.0511087
Welles	0.0508573
Windham	0.0508463
Masur	0.0508278
Aoki	0.0507767
Oneida	0.0507645
Dowd	0.0507528
Uniondale	0.0507415
Stubbs	0.050593
Yorktown	0.0505314
Woburn	0.0505231
Dempsey	0.0504881
Broaddrick	0.050443
Dingell	0.0503997
Heinrichs	0.0503947
Wildwood	0.0503822
Babylon	0.0503497
Assisi	0.0503147
Copeland	0.0502785
Christo	0.050172
Guerra	0.0501439
Montauk	0.0499294
Mukora	0.049913
Lowey	0.0498884
))
(Breyer (desc 3777.47) (sims
Souter	0.496096
Scalia	0.394575
Ginsburg	0.270464
Rehnquist	0.195257
O'Connor	0.183017
Stevens	0.153751
"Antonin Scalia"	0.1401
"Sandra Day O'Connor"	0.117297
Satcher	0.111275
Kennedy	0.101673
Zeng	0.10013
Ruehe	0.0981095
Thomas	0.0970279
Piot	0.095291
Fleischer	0.0942141
Sheng	0.0920833
Blackmun	0.0920171
Cui	0.0908162
Hauser	0.0901649
Rong	0.0892012
"Clarence Thomas"	0.088964
Jovanovic	0.0886769
Lamberth	0.0874719
Flanagan	0.0862583
"chief justice"	0.0850725
Meissner	0.0842866
Ruggiero	0.0835674
Rubenstein	0.0832372
Lehane	0.0828181
Kauffman	0.0820039
"administration official"	0.0798584
Malu	0.0795593
Korman	0.0779695
Prewitt	0.0772286
Ikimi	0.0771333
Jayakumar	0.0767285
Waxman	0.0759353
Siazon	0.0754594
Scharping	0.0753154
Kasoulides	0.0751787
Myhrvold	0.0747881
Carollo	0.0740389
Zambrano	0.0734834
Zou	0.073178
Singson	0.0727734
Menino	0.0725931
Wolfson	0.0724343
Schultz	0.0722468
Passarella	0.0721867
Sha	0.0721032
Shamshad	0.0719756
Molinari	0.0718329
Eizenstat	0.0718305
Ratner	0.0717717
"Ruth Bader Ginsburg"	0.0713753
Koskinen	0.0710654
Severino	0.0710333
Levitt	0.0710169
Lockyer	0.0706941
Greenwald	0.0705479
Neal	0.0704785
Brenner	0.0703277
Upton	0.0702813
Schmalensee	0.0701999
Hahn	0.070138
Ebersol	0.0700216
Caddell	0.0700204
SJC	0.0696981
Insulza	0.0694959
Tsang	0.069097
Roberson	0.0690462
Manley	0.0688206
Kennard	0.068642
Gramm	0.0684796
Pollack	0.0682468
Sato	0.0676921
Kelleher	0.0675536
Hybl	0.0675451
Wyden	0.06717
Rossotti	0.0668861
Paxon	0.0668281
Pelosi	0.0666543
Gullikson	0.0664496
Condit	0.0662235
Kaye	0.0660446
Babcock	0.0660271
Ainge	0.0660224
Arbour	0.065923
Beilin	0.0657517
Alatas	0.0654115
McCarron	0.0648898
Shi	0.0645415
Engelberg	0.0644039
Daschle	0.0643719
McCurry	0.0643189
Moonves	0.0641694
Cooley	0.0640529
Khai	0.06394
wen	0.0637983
Eaton	0.0637796
Bustamante	0.0636076
Soyinka	0.0635756
Gibbons	0.0635363
Muckler	0.0634922
Wan	0.0633717
Xiang	0.0630441
BRIER	0.0629215
Meguid	0.062827
LaGuardia	0.0627511
Wenger	0.0626048
Maldini	0.0625823
Diouf	0.0625062
Rosen	0.0623351
Jacquet	0.0621567
Esposito	0.0620472
"Curt Weldon"	0.0617674
Sather	0.0616379
Rosenthal	0.0615891
Postol	0.0615335
Donnelly	0.0613594
Gerstner	0.0613258
Ferrer	0.061309
Wolfensohn	0.0612827
Weinstein	0.0612604
Burleigh	0.061187
Sykes	0.0611348
Harkin	0.0610355
Hecht	0.0609836
Rubinstein	0.0609599
Hunsicker	0.0609086
LaPierre	0.0607746
LeBlanc	0.0607555
Lamont	0.0604934
McHugh	0.0604895
Patel	0.0604429
Cao	0.0603814
Solis	0.0601057
Rothenberg	0.0599321
Auriemma	0.0598769
Okada	0.0598191
Gainey	0.0596451
McKinnon	0.0596368
Kyl	0.0596201
Rahal	0.0595664
Devine	0.0594392
Valenti	0.0594023
Allard	0.0593842
Allchin	0.0593464
Friedman	0.0593304
Kessler	0.0592982
D'Alessandro	0.0592795
Tobin	0.0590737
Klestil	0.0589932
McDonough	0.0589478
Chao	0.0588907
Hanley	0.0587756
Aguirre	0.0586518
Nasser	0.0585717
Azizah	0.0584962
Kyprianou	0.058481
Brandt	0.0584094
Ogata	0.0584058
Jarrell	0.0583671
Shula	0.0582712
Lessig	0.0582666
Shen	0.0582417
Gaffney	0.0582325
Biden	0.0581577
Strauss-Kahn	0.0581497
Siegel	0.058134
Kornberg	0.0581263
Duffy	0.058065
Atwood	0.0580431
Boucher	0.0579773
Hirsch	0.0579253
Silverstein	0.0578786
Ganassi	0.0578286
Sasser	0.0576667
Kerrey	0.0576024
Advani	0.0575666
Narayanan	0.0574119
Heinrichs	0.0573354
Polian	0.0573226
Menard	0.0572709
Laudrup	0.0571381
Hu	0.0570562
Mustafa	0.0570329
Meehan	0.05696
Zadornov	0.0569559
Leavitt	0.0569486
Inhofe	0.0567053
Qiao	0.0566025
Rudman	0.0565577
Kulikov	0.0565535
Finkel	0.0565155
Brittan	0.0564166
Tian	0.0563986
Weiner	0.0563404
brill	0.0563338
Kumar	0.0563129
))
(Brezhnev (desc 1061.77) (sims
Tito	0.091499
"silent movie"	0.0770076
Matthau	0.0752913
Bonanno	0.0721872
Colangelo	0.0687915
Cooke	0.0678179
Stalin	0.0672298
Speer	0.0657659
Bogle	0.0648874
Edo	0.0641598
Mitterrand	0.0628148
post-Soviet	0.0621823
Mobutu	0.0605521
"Jerry Jones"	0.0598616
perestroika	0.0589058
Gielgud	0.0587866
Crockett	0.0574988
"Jerry Garcia"	0.0569998
Chafee	0.056589
"Pol Pot"	0.0561091
Allchin	0.0554821
Cunanan	0.0553564
"Jim Crow"	0.0549417
Naipaul	0.0548696
"jet set"	0.0547211
Maoist	0.0546526
Krzyzewski	0.0546255
"Deer Valley"	0.0543038
Magaziner	0.0539673
"steam engine"	0.0529391
"dust bowl"	0.0527684
Huangshan	0.0521292
McCourt	0.0521129
glam	0.051861
Trudeau	0.0517404
knucklehead	0.0515976
Nero	0.0511163
Berliner	0.0510565
Tomey	0.0505292
"eye doctor"	0.0504749
GATT	0.0502136
Duvalier	0.0498299
"Sam Wyly"	0.0494264
"Andreas Papandreou"	0.0493718
Tevanian	0.0490634
"Ward Connerly"	0.0490488
Bratton	0.0489035
Driscoll	0.0488746
Allende	0.0488216
Cheever	0.048251
twentysomethings	0.0482351
NP	0.0481979
dawning	0.0481138
Harrick	0.0479096
Calhoun	0.0478673
Isakson	0.0477403
Draper	0.047722
Sheppard	0.0474914
"Ho Chi Minh"	0.0472416
Iowan	0.0472201
bebop	0.047136
flapper	0.0470054
"shipwreck survivor"	0.0469907
Lombardi	0.0463047
Chopra	0.0458024
Dunlap	0.0457284
Robeson	0.0457211
phenoms	0.0450266
supermodel	0.044756
Orwell	0.0446898
fjord	0.0446219
"Jesse James"	0.0446059
leaver	0.0445801
Nicolas	0.0444568
"Lijiang River"	0.0442865
"two hands"	0.0438533
"Panchen Lama"	0.0438257
Lim	0.0437276
Harr	0.0437266
Koop	0.0435957
"Kosovo Serbs"	0.0435379
Stalinist	0.043515
Panchen	0.0433606
Ekeus	0.0433501
Holtz	0.0431288
Banda	0.0430154
Creationists	0.0429546
pre-@@@@	0.0429194
Durwood	0.0429033
"Chan Gailey"	0.0424391
Mandella	0.0422962
Fassett	0.0422915
Gritz	0.0420348
"Grace Kelly"	0.0419248
Hendry	0.0418163
"Mao Tse-tung"	0.0416741
hatchlings	0.0414042
Demaci	0.0413538
Byers	0.0411265
Kyprianou	0.0410296
primetime	0.0408758
Quebecers	0.0407712
"hockey coach"	0.0404742
Percy	0.0404445
Fiennes	0.0403541
"Murphy Brown"	0.0402037
))
(Brian (desc 13101) (sims
Tim	0.149087
Kevin	0.140936
Jeff	0.13759
Chris	0.136846
Steve	0.136408
David	0.135971
Michael	0.132069
Jason	0.129953
Jim	0.129242
Carl	0.129097
Danny	0.128747
Anthony	0.122628
Richard	0.121253
Larry	0.121063
Gary	0.120798
tom	0.120777
Eric	0.119533
Phil	0.118835
Steven	0.118685
John	0.117215
mike	0.114835
Randy	0.113809
Alan	0.113669
Patrick	0.11231
Andrew	0.110979
Matthew	0.110786
Dave	0.110568
Sean	0.110311
Walter	0.110175
William	0.109999
Roger	0.109853
Paul	0.109318
Gerald	0.109309
BOB	0.108355
Robert	0.107962
Brad	0.107838
Josh	0.107793
Greg	0.107758
Peter	0.107297
Kenny	0.106705
Jeremy	0.106507
Adrian	0.106252
Daniel	0.105788
Jonathan	0.105595
Jamie	0.103437
Justin	0.102773
Andy	0.102717
Ben	0.10254
Bruce	0.102101
Todd	0.101759
Terry	0.100312
Reggie	0.0998951
Luke	0.099494
Brett	0.0994188
Ramon	0.0991734
Jerry	0.0989681
Alex	0.0988003
Wayne	0.0985206
matt	0.0983953
James	0.0980234
Jeb	0.0979638
Neil	0.0978044
Nicholas	0.0977321
Philip	0.0976894
Doug	0.0974414
Ted	0.0971075
Jimmy	0.0969063
Bryan	0.0965449
Billy	0.0949106
Christopher	0.0945655
Fred	0.0944555
Maurice	0.094133
Derek	0.0940719
Dennis	0.0938842
Keith	0.0937857
Ronald	0.093558
Ian	0.0932328
Charles	0.0931798
Adam	0.092895
Samuel	0.0928002
Joe	0.0927862
Jake	0.092594
Dan	0.0922111
Vladimir	0.0921689
Kyle	0.0920925
"George W."	0.0911979
Arthur	0.0911826
Bobby	0.0909669
Marty	0.0905638
Marvin	0.0904108
Ed	0.0902128
Frank	0.0901938
nick	0.0899857
Ken	0.0898098
Rick	0.0897442
Shane	0.0896702
Jon	0.0894666
Sam	0.0891686
Stephen	0.0887737
Eddie	0.0887136
Albert	0.0886305
Tony	0.0881728
Hugh	0.0880056
Wyatt	0.0878409
Andre	0.0876203
Barry	0.0868214
Ralph	0.0865279
Andrei	0.0863354
Carlos	0.0861548
Ron	0.086112
Ryan	0.0858025
Shawn	0.0855044
Jennifer	0.085343
Zachary	0.0853004
Byron	0.0851967
Joshua	0.0849646
Scott	0.0849354
Trevor	0.0848949
Charlie	0.0846097
Darryl	0.0845836
Harry	0.0842629
Jacob	0.0842461
Theo	0.0837814
jay	0.0837083
Noel	0.08368
Darren	0.083621
don	0.0836075
Robbie	0.0834753
Donald	0.0833025
Joey	0.0822692
Johnny	0.0818521
Pete	0.0815809
Edward	0.0814737
Evan	0.0813619
Casey	0.0812713
Craig	0.0812066
Dominic	0.0808193
jack	0.0806505
Miguel	0.0805643
Harold	0.0800615
Raymond	0.0800266
sandy	0.0799883
Pedro	0.07991
Ricky	0.079582
Marcus	0.0794147
Joel	0.0791524
Juan	0.0788664
Liam	0.0779417
Gerard	0.0778612
Joseph	0.077509
George	0.0773761
Jackie	0.0773263
Colin	0.0771721
Aaron	0.0770249
Kurt	0.0768984
Karl	0.0765501
Roy	0.0765007
Jose	0.076453
timothy	0.0761985
Susan	0.0759405
Kenneth	0.0759289
Nicolas	0.0752898
Henry	0.0751496
Phillip	0.0751486
Omar	0.074877
Mario	0.0745234
Willie	0.0744441
Troy	0.0740364
Drew	0.0735867
Rusty	0.073556
Thomas	0.0729352
Norman	0.0728576
Rebecca	0.0727727
Jeffrey	0.0727519
Gabriel	0.072678
Raul	0.0724609
Eli	0.072184
Michelle	0.0720853
"John Jr."	0.0716567
Laurie	0.0716546
Cody	0.0714005
Edgar	0.0713312
Clyde	0.0711346
Leon	0.0707901
Owen	0.0700493
Louis	0.0699035
Jessica	0.0697775
Bernard	0.0697678
Allan	0.069452
Debbie	0.0693331
Erin	0.0691932
Brock	0.0691209
Barbara	0.0690617
Erik	0.069019
Leo	0.0688926
Ivan	0.0687775
Roberto	0.068633
Brandon	0.0685386
ray	0.0684539
Karen	0.0683902
))
("Brian Anderson" (desc 3205.36) (sims
"Omar Daal"	0.33849
"Andy Benes"	0.31668
"Armando Reynoso"	0.316498
"Shawn Estes"	0.277312
"Alan Embree"	0.275687
"Greg Swindell"	0.266561
"Brian Moehler"	0.241642
"Ron Villone"	0.240676
"Eric Milton"	0.236746
"Mark Langston"	0.232301
"Kirk Rueter"	0.231946
"John Halama"	0.231269
"Jason Christiansen"	0.222227
"Jim Parque"	0.21895
"Terry Mulholland"	0.213846
"Russ Ortiz"	0.213644
"Scott Karl"	0.210729
"Mike Sirotka"	0.209886
"Mark Gardner"	0.209182
"Willie Blair"	0.208649
"Jon Lieber"	0.205064
"Darren Holmes"	0.203567
"Brian Bohanon"	0.199712
"BRIAN MEADOWS"	0.19887
"Jeff Weaver"	0.197094
"Paul Spoljaric"	0.195528
"Kent Mercker"	0.195119
"Woody Williams"	0.195034
"Jamie Moyer"	0.194611
"Todd Stottlemyre"	0.193427
"Matt Mantei"	0.190322
"Jesus Sanchez"	0.189546
"Gil Heredia"	0.188457
"Odalis Perez"	0.187586
"Randy Myers"	0.186856
"Chuck McElroy"	0.186673
"Bryce Florie"	0.186515
"Justin Thompson"	0.185622
"Byung-Hyun Kim"	0.185097
"Pedro Borbon"	0.18473
"Brad Radke"	0.184164
Reynoso	0.18347
"Wilson Alvarez"	0.182247
"Kevin Tapani"	0.182214
"Graeme Lloyd"	0.180564
"Jason Schmidt"	0.178925
"Mike Magnante"	0.177676
"Chris Carpenter"	0.176833
"Jesse Orosco"	0.176
"Paul Abbott"	0.174039
"Steve Parris"	0.173035
"Mike Morgan"	0.172813
"Pete Schourek"	0.172493
"Bruce Chen"	0.172306
"Darren Oliver"	0.171565
"Dustin Hermanson"	0.171497
"Francisco Cordova"	0.17088
"Dave Burba"	0.16996
"Pedro Astacio"	0.169675
"Mark Guthrie"	0.1679
"Tom Candiotti"	0.167597
"Jarrod Washburn"	0.167375
"Chuck Finley"	0.167288
"Doug Davis"	0.166589
Benes	0.166561
"Matt Perisho"	0.166495
"Dennis Cook"	0.166396
"Brett Tomko"	0.165494
"David Dellucci"	0.164882
"Sterling Hitchcock"	0.163781
"Jeff Fassero"	0.163738
"Carlos Perez"	0.161854
"Randy Johnson"	0.161801
"Onan Masaoka"	0.16179
"Kenny Rogers"	0.161671
"Rheal Cormier"	0.160825
"Ed Yarnall"	0.160771
"Mike Venafro"	0.160655
"Rich Rodriguez"	0.160418
"Gregg Olson"	0.160361
"Mike Remlinger"	0.160259
"Jose Jimenez"	0.159434
"Chris Holt"	0.159417
"Jamey Wright"	0.159276
"Mike Hampton"	0.159136
"John Snyder"	0.158409
"Arthur Rhodes"	0.157378
"Eric Gunderson"	0.15716
"Steve Sparks"	0.156111
"John Burkett"	0.156084
"Denny Neagle"	0.155373
"Andy Pettitte"	0.154963
"Javier Vazquez"	0.154428
"Allen Watson"	0.154404
"Paul Byrd"	0.154255
"Scott Radinsky"	0.153641
"Mac Suzuki"	0.15312
"Al Leiter"	0.151998
"Dave Mlicki"	0.151601
"Kevin Appier"	0.151461
"Scott Erickson"	0.150803
"Mike Holtz"	0.150738
"Matt Morris"	0.150068
"Pat Hentgen"	0.149748
"Andy Ashby"	0.149414
"Jeff Williams"	0.148753
Daal	0.147922
Rusch	0.146903
"Ryan Dempster"	0.146544
"Jason Bere"	0.146128
"Scott Schoeneweis"	0.145158
"Omar Olivares"	0.145065
"Rick Reed"	0.143881
"Darryl Kile"	0.143826
Harnisch	0.143804
"Pat Rapp"	0.14309
Suppan	0.143003
"Tim Hudson"	0.142979
Hermanson	0.142481
"Joey Hamilton"	0.142459
"Tim Belcher"	0.142374
"Pete Harnisch"	0.142057
"STEVE WOODARD"	0.141955
"Ken Cloude"	0.14193
"Steve Avery"	0.140974
Dempster	0.140399
"Scott Elarton"	0.140216
"Shane Reynolds"	0.139971
"Masato Yoshii"	0.139945
Astacio	0.139503
Rueter	0.139178
"Russ Springer"	0.138503
"Terry Adams"	0.137329
"Carl Pavano"	0.136974
"Steve Trachsel"	0.136744
"Bill Pulsipher"	0.136669
"David Wells"	0.13603
"Tom Glavine"	0.135238
"Mark Portugal"	0.135141
Mahomes	0.135054
"Alex Fernandez"	0.134936
"Jaret Wright"	0.134809
"Matt Williams"	0.134613
"Mike Stanton"	0.134037
"Esteban Loaiza"	0.132897
"Vladimir Nunez"	0.132862
"Orel Hershiser"	0.132471
Kile	0.132334
Radke	0.132066
"Aaron Sele"	0.131328
"Freddy Garcia"	0.131285
"Frankie Rodriguez"	0.130592
"Chan Ho Park"	0.130474
"Kent Bottenfield"	0.13037
"Mark Clark"	0.130339
Bottenfield	0.130326
Eldred	0.129099
Trachsel	0.128821
"Brian Rose"	0.128613
Mercker	0.128093
"Juan Guzman"	0.128029
"Mark Petkovsek"	0.127932
"Ramiro Mendoza"	0.127863
Bere	0.127633
"Charles Nagy"	0.127548
Hentgen	0.127426
"Ismael Valdes"	0.127218
"Dennis Reyes"	0.127063
"Rolando Arrojo"	0.126968
"Pat Mahomes"	0.126769
"Sidney Ponson"	0.126745
Mlicki	0.126252
"Rick Helling"	0.125931
"Paul Shuey"	0.125326
"Dwight Gooden"	0.124164
Moyer	0.124146
Schourek	0.124077
"Brett Hinchliffe"	0.123953
"Rick Aguilera"	0.123731
Yoshii	0.12287
"Tim Wakefield"	0.122537
Neagle	0.122462
Fassero	0.122118
Sele	0.121878
"Brad Penny"	0.12158
"Erubiel Durazo"	0.121345
Petkovsek	0.120803
Candiotti	0.120606
Ankiel	0.120565
"Shigetoshi Hasegawa"	0.120494
"Matt Herges"	0.119867
"Brian Cooper"	0.119257
"Curt Schilling"	0.11903
"Mike Mussina"	0.118771
Etherton	0.1186
"Robb Nen"	0.118409
"Al Levine"	0.118243
Dreifort	0.117987
Nagy	0.117408
Bohanon	0.117383
"Rick White"	0.117329
"Darren Dreifort"	0.117266
"Livan Hernandez"	0.116971
D'Amico	0.116757
"Bartolo Colon"	0.116143
"Ricky Bottalico"	0.116099
"Danny Graves"	0.116012
Elarton	0.115636
"Mike Fetters"	0.115078
"Ramon Ortiz"	0.114563
"Octavio Dotel"	0.113972
"Sean Bergman"	0.113652
Herges	0.113602
Glavine	0.113251
"Kevin Millwood"	0.112133
"Orlando Hernandez"	0.112122
"John Franco"	0.111673
"Jamie Arnold"	0.111545
"John Wasdin"	0.110691
Pavano	0.110214
Mussina	0.110054
Stottlemyre	0.109349
"Ken Hill"	0.108963
"Eric Gagne"	0.10877
"Scott Williamson"	0.108085
Tapani	0.107642
"Bret Saberhagen"	0.107639
Helling	0.107511
"Jason Grimsley"	0.107144
Olivares	0.106753
"Jason Dickson"	0.106679
Parris	0.106335
"Scott Sullivan"	0.105592
Lieber	0.105523
"Jose Mesa"	0.105343
"James Baldwin"	0.105037
Loaiza	0.104693
Remlinger	0.104632
"Turk Wendell"	0.104421
"Ryan Glynn"	0.103963
"Ramon Martinez"	0.103861
Burkett	0.103725
"Dan Miceli"	0.103611
"Jose Paniagua"	0.103598
"Jose Lima"	0.103087
Halama	0.102963
"Travis Lee"	0.102304
"Hideo Nomo"	0.102303
"Hideki Irabu"	0.101872
"Jack McDowell"	0.101751
"Bobby Jones"	0.101479
Leiter	0.101305
"Billy Wagner"	0.101036
"Heathcliff Slocumb"	0.100334
"Rich Garces"	0.100315
"Matt Franco"	0.100308
))
("Brian Billick" (desc 2673.59) (sims
"Chris Palmer"	0.30921
"Mike Martz"	0.289151
"Dick Jauron"	0.254988
"Dom Capers"	0.222642
"Rich Brooks"	0.218929
Billick	0.218448
"Bill Belichick"	0.216642
"Gary Kubiak"	0.190749
"Dave Campo"	0.188141
"Chan Gailey"	0.168917
"John Fox"	0.168743
"Mike Shanahan"	0.163384
"Ray Rhodes"	0.16272
"Tony Dungy"	0.161634
"Bela Karolyi"	0.160378
"Al Groh"	0.160063
"Dave McGinnis"	0.15845
"Tim Floyd"	0.149936
"Ernie Zampese"	0.149923
"Hans von Sponeck"	0.148657
"Mike Holmgren"	0.135803
"Scotty Bowman"	0.134066
"Bill Cowher"	0.132038
"Bora Milutinovic"	0.130233
"Jim Harrick"	0.127436
"Dennis Erickson"	0.125747
"Dave Wannstedt"	0.124642
"Lenny Wilkens"	0.124642
"Dennis Green"	0.123415
"John Smith"	0.120179
"Lou Holtz"	0.116893
"Rich Rodriguez"	0.115071
"Kurt Rambis"	0.113339
"John Robinson"	0.113022
"June Jones"	0.111575
"Cris Carter"	0.110989
"Dick Vermeil"	0.110816
Martz	0.109543
"P.J Carlesimo"	0.108537
"Dan Reeves"	0.108111
Fassel	0.106499
"TOM COUGHLIN"	0.105307
"Bill Walsh"	0.104674
"Don Zimmer"	0.103814
"Don Baylor"	0.103493
"Willie Randolph"	0.103299
"Rick Neuheisel"	0.102565
"Rudy Tomjanovich"	0.10188
"John Thompson"	0.101391
Jauron	0.100887
"Doc Rivers"	0.0990345
"Don Nelson"	0.0990168
"John Randle"	0.0988445
"Mike Dunleavy"	0.095579
"Don Shula"	0.0952613
"Jeff Van Gundy"	0.0943891
Groh	0.0942297
"Mike Krzyzewski"	0.0927414
Silas	0.091389
"Del Harris"	0.0905415
Harrick	0.0899959
"Jeff George"	0.0899067
"Gary Anderson"	0.0898104
Shanahan	0.0890192
"Mike Ditka"	0.0860369
"Phil Jackson"	0.0859501
"Brad Johnson"	0.0852346
"Barry Switzer"	0.0852306
"Steve Mariucci"	0.0850064
"Norv Turner"	0.0847586
"Bill Parcells"	0.0843942
"Jimmy Johnson"	0.0837297
Belichick	0.0834075
Skiles	0.0830741
"George Seifert"	0.0822425
"Joe Gibbs"	0.0822397
"Paul Westphal"	0.081784
Donnan	0.0814469
Holmgren	0.0813756
Gailey	0.0813148
"Tommy Bowden"	0.081083
"Butch Carter"	0.0799238
Zico	0.079744
"Dennis Ross"	0.0796235
"Pete Carroll"	0.0794021
"Jim Calhoun"	0.0790658
"Randy Moss"	0.0786145
Wannstedt	0.0782913
"Paul Silas"	0.0779714
"Vince Lombardi"	0.0777411
Spurrier	0.0767038
"line coach"	0.0765607
"Carl Bildt"	0.0764089
"Dennis Johnson"	0.0761498
"Walter Zenga"	0.0757407
Donahue	0.075402
"John Calipari"	0.0749766
Ponciano	0.0735379
Haskins	0.07272
"Tom Davis"	0.0726428
"Gary Stevens"	0.0726017
"Ken Hitchcock"	0.0722827
Sampson	0.0718775
"Robert Smith"	0.0711293
"Dean Smith"	0.0709207
"Tex Winter"	0.07085
"Pat Burns"	0.0698027
Zampese	0.0687546
"Pat Riley"	0.0686836
"Bobby Bowden"	0.0685423
"Daunte Culpepper"	0.0682147
"George Karl"	0.068119
"Clyde Drexler"	0.0678775
"Rick Pitino"	0.0675442
Talebi	0.0674619
"Jake Reed"	0.0665767
"Heath Irwin"	0.0660434
Solich	0.0658722
"Tom Osborne"	0.0655918
Layden	0.0655116
Neuheisel	0.0645531
"Isiah Thomas"	0.0643553
Cremins	0.0643272
Holtz	0.0642077
Heinrichs	0.0640743
Landry	0.0640311
"John Elway"	0.0639205
"Dave Cowens"	0.0630377
Napolitano	0.0626806
"David Palmer"	0.0626255
"Derrick Alexander"	0.0625951
"Larry Brown"	0.0624788
Milutinovic	0.0623282
"Orlando Brown"	0.0623088
Schottenheimer	0.0623043
Schmid	0.0622847
"Mark Tuinei"	0.0621868
"Chuck Daly"	0.062097
"Neil Smith"	0.0604371
"Sergio Vieira de Mello"	0.0602713
Slocum	0.0600492
"Roy Williams"	0.0600221
Byrdsong	0.0590978
"Larry Bird"	0.0590643
"Mack Brown"	0.0590197
"Tom Landry"	0.0587976
"Rod Carew"	0.0586566
"William Perry"	0.05817
"Glenn Hoddle"	0.0577193
Bubb	0.0576861
"Randall Cunningham"	0.0574927
Campo	0.057453
"Brent Jones"	0.0572336
Milbury	0.0569395
"Ruud Gullit"	0.0569275
"Barry McCaffrey"	0.0565083
"Lomas Brown"	0.0563805
Keenan	0.0563453
Doherty	0.0560058
Coughlin	0.0559289
"Red Auerbach"	0.0558397
"Bobby Knight"	0.0557441
"Anthony Lake"	0.0556256
"Kevin Keegan"	0.0555723
"Terry Allen"	0.0552918
Brogna	0.0552438
Wilkens	0.0551979
Casserly	0.0549563
Kearin	0.0547824
K.	0.0547315
Waddell	0.0543522
Reeves	0.0542237
McGinnis	0.05422
"Bruce Matthews"	0.0538428
"Colin Campbell"	0.0537423
Landers	0.0535483
Chambliss	0.0534122
"Johan Cruyff"	0.0531408
Walsh	0.052637
Rambis	0.052612
Modell	0.0525319
"Kevin Malone"	0.0520644
Shurmur	0.0520163
Monson	0.0519795
Osborne	0.0518444
"Mike Scioscia"	0.0516946
"football coach"	0.0515271
McMullen	0.0512994
"Bob Knight"	0.0512857
Gangelhoff	0.0510928
Vermeil	0.0510282
"Gregory Craig"	0.0510126
Zenga	0.0509653
Aliotti	0.0509616
"Dave Stewart"	0.0508518
Callaghan	0.0507673
Rhodes	0.0503628
Lombardi	0.050329
Mariucci	0.0501783
Zimmer	0.0500878
))
("Brian Bohanon" (desc 2643.69) (sims
"Pedro Borbon"	0.284124
"Pedro Astacio"	0.28043
"Alan Embree"	0.27425
"Scott Karl"	0.247043
"Ron Villone"	0.245808
"Jamey Wright"	0.240936
"Terry Mulholland"	0.237889
"Russ Ortiz"	0.236465
"Kirk Rueter"	0.234487
"Chuck McElroy"	0.230763
"Brian Moehler"	0.229298
"Shawn Estes"	0.225106
"Pete Schourek"	0.223549
"Francisco Cordova"	0.222669
"Jon Lieber"	0.217819
"Randy Myers"	0.2166
"Greg Swindell"	0.215303
"Jason Christiansen"	0.215181
"Eric Milton"	0.214501
"Kent Mercker"	0.212554
"Jim Parque"	0.211268
"Mark Langston"	0.209761
"Bryce Florie"	0.206066
"Jesus Sanchez"	0.204708
"Carlos Perez"	0.200163
"Brian Anderson"	0.199712
"Mike Sirotka"	0.199184
"Chris Carpenter"	0.196252
"Jose Jimenez"	0.195092
"Rich Rodriguez"	0.19344
"Armando Reynoso"	0.193306
"Pat Hentgen"	0.19272
"Darryl Kile"	0.1916
"Woody Williams"	0.191576
"Mike Stanton"	0.190676
"Scott Radinsky"	0.190317
"John Burkett"	0.189345
"Jason Schmidt"	0.189145
"Jeff Weaver"	0.189137
"Mike Remlinger"	0.188227
"Dave Mlicki"	0.188097
"Sterling Hitchcock"	0.187868
"Ricky Bottalico"	0.186547
"Jamie Moyer"	0.186367
"Mike Magnante"	0.186263
"Tom Candiotti"	0.185401
"Rolando Arrojo"	0.185263
"Allen Watson"	0.184921
"Ismael Valdes"	0.183493
"Mark Guthrie"	0.183152
"Jesse Orosco"	0.182569
"Javier Vazquez"	0.18253
"John Halama"	0.182164
"Dustin Hermanson"	0.181344
"BRIAN MEADOWS"	0.179109
"Jeff Shaw"	0.178825
"Chan Ho Park"	0.178461
"Wilson Alvarez"	0.177513
"Arthur Rhodes"	0.177344
"Steve Avery"	0.177241
"Paul Spoljaric"	0.177005
"Onan Masaoka"	0.17689
"Jason Bere"	0.17489
"Greg McMichael"	0.174786
"Brad Radke"	0.174386
"Kevin Tapani"	0.174188
"Rheal Cormier"	0.173722
"Matt Morris"	0.173201
"Darren Dreifort"	0.171731
"Chuck Finley"	0.171708
"Steve Parris"	0.171266
"Scott Williamson"	0.170692
"Bruce Chen"	0.169608
"Mark Gardner"	0.169024
"Doug Davis"	0.168151
"Denny Neagle"	0.167782
"Pat Rapp"	0.167747
"Hideo Nomo"	0.167531
"Odalis Perez"	0.16501
"Brett Tomko"	0.164329
"Omar Olivares"	0.16426
"Jeff Fassero"	0.163552
"John Franco"	0.16352
"Kent Bottenfield"	0.161627
"Omar Daal"	0.160957
"Rudy Seanez"	0.160639
"Jason Dickson"	0.160528
"John Snyder"	0.160459
"Dennis Cook"	0.160222
"Mike Holtz"	0.159784
"Turk Wendell"	0.159199
Rusch	0.159002
"Bill Pulsipher"	0.158671
"Darren Oliver"	0.158461
"Willie Blair"	0.157328
"Ramon Ortiz"	0.156895
"Graeme Lloyd"	0.156853
"Jamie Arnold"	0.156248
"Pat Mahomes"	0.155875
"Jose Mesa"	0.154683
"Sidney Ponson"	0.15435
"Ed Yarnall"	0.15431
"Jarrod Washburn"	0.154141
"Mike Hampton"	0.153882
"Al Levine"	0.15375
"STEVE WOODARD"	0.153111
"Paul Abbott"	0.152453
"Matt Perisho"	0.152387
"Gil Heredia"	0.152226
"Joey Hamilton"	0.151327
"Dave Burba"	0.151093
"Justin Thompson"	0.151078
Bottenfield	0.150316
Mahomes	0.150095
"Al Leiter"	0.149883
"Dennis Reyes"	0.149748
"Eric Gunderson"	0.148882
"Bartolo Colon"	0.148462
"Chris Holt"	0.14784
"Mac Suzuki"	0.147629
"Antonio Osuna"	0.147322
"Aaron Sele"	0.146851
"Rick White"	0.146417
"Doug Henry"	0.146241
"Jose Paniagua"	0.146137
"Steve Sparks"	0.14603
"Mark Clark"	0.145567
"Russ Springer"	0.145445
"Danny Graves"	0.145414
"Paul Shuey"	0.145174
Pavano	0.144771
"Mike Timlin"	0.144063
"Carl Pavano"	0.143714
"Byung-Hyun Kim"	0.143447
"Mark Petkovsek"	0.143326
"Kevin Appier"	0.143259
"Esteban Loaiza"	0.143165
"Mike Morgan"	0.142934
"Masato Yoshii"	0.142887
"Matt Herges"	0.142756
"Kenny Rogers"	0.142374
Benes	0.142336
"Mike Venafro"	0.14197
"Mark Portugal"	0.140997
"John Wasdin"	0.140887
"Juan Guzman"	0.140308
"Orel Hershiser"	0.139622
"Jeff Williams"	0.139201
"Shigetoshi Hasegawa"	0.13901
"Todd Stottlemyre"	0.138449
"Vladimir Nunez"	0.137849
"Tom Glavine"	0.137387
"Ramon Martinez"	0.136695
"Andy Pettitte"	0.135806
"John Hudek"	0.135082
"Tim Wakefield"	0.135061
"Brian Rose"	0.134926
"Jay Powell"	0.13478
"Steve Trachsel"	0.134587
Astacio	0.134105
Ankiel	0.133629
"Kevin Millwood"	0.133578
"Heathcliff Slocumb"	0.133307
"Rick Aguilera"	0.133089
"Paul Byrd"	0.132601
Hermanson	0.132471
"Tim Hudson"	0.132137
"Mike Fetters"	0.131962
Bohanon	0.131838
"Rich Garces"	0.131706
"Sean Bergman"	0.131584
"Ramiro Mendoza"	0.131454
"Andy Benes"	0.129766
"Terry Adams"	0.129127
"Matt Mantei"	0.129012
"Jason Grimsley"	0.129006
"Freddy Garcia"	0.129001
"Scott Sullivan"	0.128624
"Ryan Dempster"	0.128449
"Scott Schoeneweis"	0.128171
"Andy Ashby"	0.12812
Trachsel	0.127841
Petkovsek	0.127758
"Scott Elarton"	0.127688
"Sandy Koufax"	0.127302
"Ken Cloude"	0.126793
"Ken Hill"	0.126099
"Pete Harnisch"	0.125955
"Mel Rojas"	0.125224
"Scott Erickson"	0.124415
"Bobby Jones"	0.123583
"Mike Mussina"	0.12318
"DOUG JONES"	0.122937
Schourek	0.122646
Dempster	0.122227
"Tim Crabtree"	0.122098
"Rod Beck"	0.121976
"Todd Helton"	0.121748
"Hideki Irabu"	0.121352
"Bob Wickman"	0.120991
"Jason Isringhausen"	0.12065
"Alan Mills"	0.120142
"Kevin Brown"	0.119969
Bere	0.119937
"Brian Cooper"	0.119925
Halama	0.119848
Checo	0.119822
"Livan Hernandez"	0.119343
"Frankie Rodriguez"	0.118243
"Billy Taylor"	0.117826
"Billy Wagner"	0.117371
"Tim Belcher"	0.117237
"Octavio Dotel"	0.1167
"Troy Percival"	0.116685
"Armando Benitez"	0.116425
"Brad Penny"	0.11631
Hentgen	0.116292
"Matt Franco"	0.116279
Remlinger	0.116035
"Greg Maddux"	0.115384
Daal	0.114882
"Rick Reed"	0.114538
Glavine	0.114421
"Curt Schilling"	0.114254
Harnisch	0.114103
"Alex Fernandez"	0.114026
"Jeff Nelson"	0.113828
"Robb Nen"	0.113771
D'Amico	0.113509
"Rick Helling"	0.113338
"Shane Reynolds"	0.113301
Mantei	0.113114
"Todd Jones"	0.112995
"David Wells"	0.112788
"Jose Lima"	0.112748
"Bret Saberhagen"	0.112577
Herges	0.112357
Mlicki	0.112207
"Brett Hinchliffe"	0.11192
Dreifort	0.111789
"Jaret Wright"	0.111706
"Donne Wall"	0.111396
"Dan Miceli"	0.111391
"Jin Ho Cho"	0.110657
"Eric Gagne"	0.110529
"John Smoltz"	0.110415
"Don Sutton"	0.109885
Reynoso	0.108451
Osuna	0.107651
Masaoka	0.106337
"Gregg Olson"	0.105973
Radke	0.105571
Rueter	0.10555
"Derek Lowe"	0.105145
"Jim Corsi"	0.104989
"James Baldwin"	0.104953
"Jack McDowell"	0.104388
Heredia	0.104157
"Robinson Checo"	0.104146
Kile	0.1041
"Kazuhiro Sasaki"	0.103965
"Charles Nagy"	0.103897
"Dwight Gooden"	0.103765
Lieber	0.101897
"Larry Walker"	0.101591
Fassero	0.101091
"Mariano Rivera"	0.100498
Borbon	0.100189
"John Vanbiesbrouck"	0.10016
Pulsipher	0.100136
))
("Brian Cashman" (desc 1008.52) (sims
"Jerry Krause"	0.257029
"Kevin Malone"	0.236762
"Ernie Grunfeld"	0.225304
"Neil Smith"	0.222931
"Dan Duquette"	0.195307
"Glen Sather"	0.191815
"Sandy Alderson"	0.166179
Gossage	0.151921
"de Charette"	0.133869
"Dwight Clark"	0.133556
Jayakumar	0.130446
"Tommy Lasorda"	0.129351
"Bobby Smith"	0.124803
"Bill Walsh"	0.124402
Cashman	0.124349
Skiles	0.123273
Nickerson	0.120457
Ikimi	0.118976
Polian	0.116989
Rodionov	0.116915
Fleischer	0.115281
Ganassi	0.113486
Jovanovic	0.111777
Kasoulides	0.110499
"Mike Brown"	0.109486
Malu	0.108451
Alderson	0.108107
Ruehe	0.107865
Ikeda	0.106471
"Harry Sinden"	0.10552
"Carmen Policy"	0.10499
"Fred Claire"	0.103234
Azizah	0.103117
Camacho	0.10284
"Elgin Baylor"	0.102221
"Dave Stewart"	0.101928
Orban	0.101283
Hunsicker	0.101076
Guterres	0.100224
Talebi	0.0982655
Strauss-Kahn	0.0981202
Hybl	0.0976596
Insulza	0.097163
Narayanan	0.0971093
Grachev	0.0970463
Wolfson	0.0969421
"administration official"	0.096775
McCurry	0.0966058
Sinden	0.0965512
Naumann	0.0964173
Wilhelm	0.0958928
Manley	0.095738
Rossotti	0.0955078
Scalfaro	0.0953141
Layden	0.0943237
Zou	0.094224
Moratinos	0.0936999
Azad	0.0930537
Wolfensohn	0.09206
Passarella	0.090666
Imperatori	0.0906512
Alatas	0.0905999
Cavanaugh	0.0905026
Shamshad	0.0904878
Ebersol	0.0902962
Waddell	0.090159
Abdel-Meguid	0.0901446
DeFrantz	0.0894969
Meissner	0.0886957
"Tom Lasorda"	0.0885238
Korman	0.0884785
Demaci	0.0882871
Bergeron	0.0880312
Rubenstein	0.0878109
Leghari	0.0877077
Tarawneh	0.0876409
O'Neil	0.0874875
Kostov	0.0874743
"Mike Smith"	0.087265
Blazevic	0.0872081
"Dave Checketts"	0.0870328
Komura	0.0869463
Rudman	0.0869419
Beilin	0.0859832
Whipple	0.0859588
Bing	0.085785
Siazon	0.0851445
Finkel	0.0849295
"Jim Nicholson"	0.0848802
Ruggiero	0.0841901
"De Soto"	0.0841843
"John Smith"	0.0836814
Gaston	0.083461
"Don Nelson"	0.0834218
"Chief Executive Tung Chee-hwa"	0.0824997
Waxman	0.0824897
"Lee Hsien Loong"	0.0823571
"Donna Shalala"	0.0821963
Zuma	0.0821358
Prewitt	0.0817194
Kodikian	0.0816059
Checketts	0.0815222
Piot	0.0813925
Solich	0.0807154
"Wang Yan"	0.0807091
Surin	0.0805882
Weisman	0.080444
Schuerholz	0.0802047
Juppe	0.0800772
Aventajado	0.0797995
"Zhou Nan"	0.0796011
Krzyzewski	0.0794766
Shareh	0.0790803
Sumaye	0.0789068
Majko	0.078851
Aziz	0.0784347
Muckler	0.0783129
Guan	0.0783025
Zeng	0.0782549
Goldin	0.0781501
Isaias	0.0780589
Brundtland	0.0778345
Wenger	0.0777451
Fraga	0.077672
Symons	0.0776053
Kono	0.0775908
McIlvaine	0.0774111
Ogata	0.0772124
Kok	0.0768982
Kyprianou	0.0768404
Juma	0.0768201
"Faisal Husseini"	0.0768032
Sheehan	0.0767483
Melvin	0.0766708
Sahadi	0.0765587
"Eric Holder"	0.076347
Yastrzhembsky	0.0763327
Hamdoon	0.0760447
Donnan	0.0759946
Burleigh	0.0759716
Heinrichs	0.0757859
Reinsdorf	0.07551
Bettman	0.0753568
Napolitano	0.0753205
"National Security Adviser Sandy Berger"	0.0752115
Gullikson	0.0749003
Engelberg	0.0746889
Joklik	0.0744112
Grasso	0.0743577
Zarb	0.0742744
Menard	0.0741736
Fernandes	0.0741373
McCarron	0.0739522
Nasrallah	0.0739288
Eizenstat	0.073792
Silas	0.0736643
Fino	0.073615
Shara	0.0735989
Xue	0.07339
Eubanks	0.0733115
Simons	0.0733009
Sahnoun	0.0732143
Schieffer	0.07304
Solis	0.0730127
Raitt	0.0729113
Granic	0.0727729
Eran	0.0727573
Camdessus	0.0727099
ANGELOS	0.0726818
Milbury	0.0726031
Chissano	0.0725999
Ozersky	0.0723124
"Nabil Shaath"	0.0721174
Nazarbayev	0.0719737
"Gregory Craig"	0.0717847
McKenna	0.0714586
Kornberg	0.0713443
Sponeck	0.0712432
Ainge	0.0712284
"Celinda Lake"	0.0711873
"Prime Minister Kamal El-Ganzouri"	0.0711285
Steinbrenner	0.0710763
Lockyer	0.0709289
Hanley	0.0708978
Nemtsov	0.0708906
Mandelson	0.0707097
Xiang	0.0705504
Iglesias	0.0704057
Brinkman	0.0703654
Copeland	0.0703193
Baum	0.0702971
Schmid	0.0702681
Mkapa	0.0701952
Hevesi	0.0701933
Ciampi	0.0701712
Soto	0.0701698
Demps	0.0700512
Shoate	0.0698678
Rendell	0.0698532
Fulmer	0.0698257
))
("Brian Cooper" (desc 2009.07) (sims
"Ramon Ortiz"	0.480082
"Jarrod Washburn"	0.457985
"Seth Etherton"	0.442765
"Scott Schoeneweis"	0.441974
"Jason Dickson"	0.400408
"Kent Mercker"	0.325001
"Steve Sparks"	0.317926
"Al Levine"	0.283903
"Mark Petkovsek"	0.263401
"Kent Bottenfield"	0.25958
"Shigetoshi Hasegawa"	0.258766
"Omar Olivares"	0.254398
"Woody Williams"	0.21439
"Russ Ortiz"	0.211482
"Ken Hill"	0.208389
"Tim Belcher"	0.207491
"Jon Lieber"	0.197647
"Mark Gardner"	0.18957
"Scott Karl"	0.187132
"Brian Moehler"	0.18224
"Gil Heredia"	0.181496
"Jeff Weaver"	0.18122
"Jamey Wright"	0.180337
"Chris Carpenter"	0.177347
"BRIAN MEADOWS"	0.171527
"Brett Hinchliffe"	0.167667
"Sidney Ponson"	0.163555
"Matt Morris"	0.162433
"Ken Cloude"	0.160486
"Jim Parque"	0.159002
"Jack McDowell"	0.158976
"Allen Watson"	0.1557
"Chuck Finley"	0.155655
"Armando Reynoso"	0.154443
"John Snyder"	0.153052
"Jesus Sanchez"	0.152587
"Javier Vazquez"	0.149945
"Eric Milton"	0.149916
"Jason Bere"	0.149679
"Steve Parris"	0.149465
"Bryce Florie"	0.149255
"Terry Mulholland"	0.147689
"Chris Holt"	0.14677
"STEVE WOODARD"	0.14635
Etherton	0.146067
"Francisco Cordova"	0.145681
"Jose Jimenez"	0.145541
"Mike Holtz"	0.144718
"Paul Abbott"	0.144423
"Tom Candiotti"	0.143145
"Jin Ho Cho"	0.142918
"Kevin Tapani"	0.142602
"Kirk Rueter"	0.141663
"Dave Mlicki"	0.13987
"John Halama"	0.139841
"John Burkett"	0.139804
"Dustin Hermanson"	0.138435
"Pat Hentgen"	0.13714
"Wilson Alvarez"	0.13577
"Mike Sirotka"	0.135372
"Shane Reynolds"	0.134978
"Brad Radke"	0.133669
"Shawn Estes"	0.133609
"Jason Schmidt"	0.1333
"Dave Burba"	0.132958
"Pat Rapp"	0.13225
"Omar Daal"	0.131666
"Joey Hamilton"	0.131177
"Tim Hudson"	0.131058
"Mark Langston"	0.130274
"Ryan Dempster"	0.129876
"Mike Morgan"	0.129399
"Scott Elarton"	0.128849
"Troy Percival"	0.128593
"Esteban Loaiza"	0.128565
"Brett Tomko"	0.12812
"Willie Blair"	0.127982
"Scott Erickson"	0.12688
"Kevin Appier"	0.126739
"Jamie Moyer"	0.126691
"Pedro Astacio"	0.126202
"Darren Dreifort"	0.125911
"Dwight Gooden"	0.125821
"Paul Byrd"	0.125573
"Juan Guzman"	0.123411
"Freddy Garcia"	0.123387
"Doug Davis"	0.122732
"Bartolo Colon"	0.12261
"Justin Thompson"	0.122211
"Bill Pulsipher"	0.121474
"Brian Rose"	0.121454
"Octavio Dotel"	0.121432
"Sean Bergman"	0.120596
"Brian Bohanon"	0.119925
"Ryan Glynn"	0.119868
"Brian Anderson"	0.119257
"Andy Benes"	0.117904
"Ron Villone"	0.117309
"Masato Yoshii"	0.116678
"Jaret Wright"	0.116279
"Steve Trachsel"	0.115996
"Brad Penny"	0.114364
"Darryl Kile"	0.113062
"Vladimir Nunez"	0.112688
"Matt Perisho"	0.112552
Olivares	0.11138
"Aaron Sele"	0.110989
"Mike Judd"	0.110772
"Mark Clark"	0.110623
"Alex Fernandez"	0.110078
"Mac Suzuki"	0.109838
"Rolando Arrojo"	0.109462
"Rick Reed"	0.109166
"Pete Schourek"	0.10866
"Rick Helling"	0.107233
"Pete Harnisch"	0.107211
"Carl Pavano"	0.106806
"Jamie Arnold"	0.105124
"Robinson Checo"	0.105089
"Gil Meche"	0.104994
"Eric Gagne"	0.10488
"Sterling Hitchcock"	0.104833
"Mike Mussina"	0.104771
"Jason Isringhausen"	0.104592
"Mike Hampton"	0.104246
"Charles Nagy"	0.103923
"Todd Stottlemyre"	0.103188
"Paul Shuey"	0.102918
"Mark Portugal"	0.10255
"James Baldwin"	0.102285
"Ramiro Mendoza"	0.101457
"Ismael Valdes"	0.101291
"Darren Oliver"	0.101281
"Mike Magnante"	0.100929
Bottenfield	0.100752
"Kenny Rogers"	0.100667
Benes	0.0997564
"Steve Avery"	0.0995025
"Jeff Fassero"	0.0994306
"Carlos Perez"	0.098729
"John Wasdin"	0.098335
"Bruce Chen"	0.0961636
"Ramon Martinez"	0.095625
"Jose Lima"	0.0955855
"Livan Hernandez"	0.0945889
"Alan Embree"	0.0945604
"Hideo Nomo"	0.0932284
"Chan Ho Park"	0.093047
Astacio	0.092954
"Hideki Irabu"	0.0928476
"Orlando Hernandez"	0.0919775
Hermanson	0.0913332
"Byung-Hyun Kim"	0.0910113
"Kevin Millwood"	0.0910072
"Ed Yarnall"	0.0900978
"Rick Aguilera"	0.0900449
"Tim Wakefield"	0.0900281
"Bobby Jones"	0.0897637
"Matt Herges"	0.0896229
"Orel Hershiser"	0.0893126
Rusch	0.0884612
Dempster	0.087752
"John Smoltz"	0.0876102
Mercker	0.0874478
"Terry Adams"	0.0871613
Rueter	0.0870087
"Danny Patterson"	0.0866603
"Frankie Rodriguez"	0.0864617
"Denny Neagle"	0.0861754
"Scott Williamson"	0.0859655
"Rick White"	0.0850369
"Ricky Bottalico"	0.0845207
"Doug Henry"	0.0842324
"Andy Ashby"	0.0827331
"David Cone"	0.0818584
"Lewis Yocum"	0.0815485
Pavano	0.0813035
"Ugueth Urbina"	0.0812599
"Odalis Perez"	0.0807955
Bere	0.0806392
"Bengie Molina"	0.0805599
"Tom Glavine"	0.0802687
"Randy Myers"	0.0801836
Parris	0.0800016
Tapani	0.0797112
Ortiz	0.0796187
Sele	0.0793348
"Andy Pettitte"	0.0791544
Moehler	0.079053
"John Hudek"	0.0787893
"Troy Glaus"	0.0783632
Hentgen	0.078354
"Heathcliff Slocumb"	0.0783161
Schourek	0.0782911
"Chuck Smith"	0.0779437
Trachsel	0.0773687
"Danny Graves"	0.0773475
"Don Sutton"	0.0765612
Harnisch	0.0763216
"Gary DiSarcina"	0.0761495
))
("Brian Daubach" (desc 6646.11) (sims
"Trot Nixon"	0.342712
"John Valentin"	0.338074
"Troy O'Leary"	0.328678
"Mike Stanley"	0.328402
"Jason Varitek"	0.30418
"Reggie Jefferson"	0.293011
"Scott Hatteberg"	0.290902
Daubach	0.270884
"Jose Offerman"	0.261441
"Damon Buford"	0.258079
"Jeff Frye"	0.251063
"Darren Lewis"	0.249804
"Donnie Sadler"	0.249634
"Derrek Lee"	0.236971
"Nomar Garciaparra"	0.235528
"Darren Bragg"	0.221702
"Lou Merloni"	0.212803
"Bruce Aven"	0.206798
Valentin	0.205608
"Matt Franco"	0.203331
"Wilton Veras"	0.201625
"Dante Bichette"	0.201155
"Troy Glaus"	0.199387
"Paul Konerko"	0.199068
"Butch Huskey"	0.198094
"Jason Giambi"	0.197142
"Edgar Martinez"	0.195135
"Mike Sweeney"	0.194826
"Eric Karros"	0.193017
"Tino Martinez"	0.192233
"Ron Coomer"	0.191454
"Scott Spiezio"	0.190279
"Marvin Benard"	0.18698
"Carl Everett"	0.186021
"Fred McGriff"	0.185983
"Erubiel Durazo"	0.184624
"Raul Ibanez"	0.182858
"Ray Durham"	0.181074
"Jeff Conine"	0.180116
"Jim Thome"	0.179748
"Matt Lawton"	0.178025
"Todd Helton"	0.177886
"Brad Fullmer"	0.176615
"Eric Owens"	0.175444
"John Jaha"	0.174774
"Warren Morris"	0.174679
"Rico Brogna"	0.174377
"Jose Hernandez"	0.173637
"Mark Loretta"	0.172416
"Ricky Gutierrez"	0.171598
"Kevin Jordan"	0.171493
"John Olerud"	0.171459
"Scott Rolen"	0.17124
"Daryle Ward"	0.170778
"Edgardo Alfonzo"	0.170732
"Carlos Lee"	0.1702
"Darin Erstad"	0.169113
"Tim Salmon"	0.168922
"Gerald Williams"	0.168265
"David Ortiz"	0.168047
"Jeff Kent"	0.168011
Vidro	0.167865
Garciaparra	0.167598
"Tony Eusebio"	0.166165
"Geoff Jenkins"	0.166065
"David Segui"	0.166053
Alfonzo	0.165997
"Mike Lansing"	0.165503
"Robin Ventura"	0.165501
"Mike Benjamin"	0.164024
"Derek Bell"	0.16387
"Chuck Knoblauch"	0.16341
"Lee Stevens"	0.163132
"Frank Thomas"	0.162754
"Ryan Klesko"	0.162747
Glaus	0.162331
"Kevin Young"	0.161675
"Preston Wilson"	0.161007
Olerud	0.160686
"Rafael Palmeiro"	0.159311
"Manny Alexander"	0.159041
"Wally Joyner"	0.158941
"J.T Snow"	0.158897
"Jim Leyritz"	0.158454
"Benny Agbayani"	0.158399
"Travis Lee"	0.158361
"Bernard Gilkey"	0.158165
"Matt Stairs"	0.158098
"Russ Davis"	0.157734
"Pat Burrell"	0.157569
"John Vander Wal"	0.157254
"Luis Alicea"	0.15663
"Fernando Tatis"	0.156307
Offerman	0.155606
"Damian Jackson"	0.154815
"Richard Hidalgo"	0.154699
"Mo Vaughn"	0.154053
"Randy Velarde"	0.153919
"Adam Kennedy"	0.153555
"Jeff Bagwell"	0.153444
"Damian Miller"	0.153292
"Dave Hansen"	0.153196
Veras	0.152417
"Dean Palmer"	0.15206
Varitek	0.151941
"Jose Vidro"	0.151743
"Deivi Cruz"	0.151458
"Midre Cummings"	0.150878
"Sean Casey"	0.15079
"Todd Pratt"	0.150302
"Bobby Higginson"	0.150195
Rolen	0.150188
Randa	0.150061
"Eddie Taubensee"	0.149846
"Quilvio Veras"	0.149843
"Mickey Morandini"	0.149528
"Phil Nevin"	0.149233
"Paul Bako"	0.148828
"Garret Anderson"	0.148421
"Bill Mueller"	0.148324
"Mark Grace"	0.148217
"Mike Cameron"	0.147927
"Tony Batista"	0.14776
"Ken Caminiti"	0.147418
"Magglio Ordonez"	0.147257
"Carlos Delgado"	0.147139
"Kelly Stinnett"	0.14711
"Jay Bell"	0.146835
"Richie Sexson"	0.146405
"Chili Davis"	0.146387
"Craig Biggio"	0.146243
"Travis Fryman"	0.145532
"Mike Lowell"	0.145483
"Will Clark"	0.145468
"Mark Kotsay"	0.145218
"Andy Fox"	0.144891
"Mike Lamb"	0.143984
Lankford	0.143666
"Herbert Perry"	0.143246
Karros	0.142673
"Jeff Cirillo"	0.142555
"Harold Baines"	0.142405
"Glenallen Hill"	0.142383
"Ivan Rodriguez"	0.141433
"Bill Spiers"	0.141318
"Derek Jeter"	0.140847
"Tim Bogar"	0.140794
"Joe Randa"	0.140785
"Ricky Ledee"	0.140748
"Ed Sprague"	0.140739
Erstad	0.140447
"Rusty Greer"	0.140284
"Bernie Williams"	0.140097
"Orlando Palmeiro"	0.139965
"Russ Johnson"	0.139949
"Javy Lopez"	0.139574
"Bret Boone"	0.139241
"David Bell"	0.139227
"Jon Nunnally"	0.138984
O'Leary	0.138821
"Tony Clark"	0.137159
"Quinton McCracken"	0.137018
"Melvin Mora"	0.136738
"Keith Lockhart"	0.136672
"Jermaine Dye"	0.13665
"Paul O'Neill"	0.135998
Vaughn	0.135542
"Omar Vizquel"	0.135431
"Chad Curtis"	0.134541
"Rich Aurilia"	0.13449
"Dmitri Young"	0.134392
"Jeremy Giambi"	0.13428
"Marty Cordova"	0.13422
"Ruben Rivera"	0.134193
"Eric Chavez"	0.133701
"Tom Goodwin"	0.13351
"Chipper Jones"	0.13346
"Jorge Posada"	0.133423
"Craig Paquette"	0.133392
"Craig Counsell"	0.133366
"Kenny Lofton"	0.132986
"Chris Widger"	0.132957
"Jose Guillen"	0.132952
"Mark Grudzielanek"	0.132667
Merloni	0.132153
"Scott Brosius"	0.131936
"Matt Luke"	0.131751
"Johnny Damon"	0.131749
Fullmer	0.131698
"John Mabry"	0.131538
"Jay Buhner"	0.131226
"Shawn Green"	0.130775
"Matt Walbeck"	0.130572
"Alex Gonzalez"	0.130373
Aurilia	0.128987
"Luis Castillo"	0.128821
"Ben Grieve"	0.128586
"Bengie Molina"	0.128523
Cirillo	0.128441
"Cliff Floyd"	0.128316
"Adrian Beltre"	0.12821
"Jim Edmonds"	0.128134
"David Dellucci"	0.127987
"Terrence Long"	0.127945
McGriff	0.127661
"Andruw Jones"	0.127459
"Luis Lopez"	0.127318
"Mike Bordick"	0.127256
"Andres Galarraga"	0.12693
"Jose Valentin"	0.126646
"Miguel Tejada"	0.126332
"Greg Vaughn"	0.125728
"Henry Rodriguez"	0.125669
"Carlos Beltran"	0.125647
"Charles Johnson"	0.12561
"Rondell White"	0.125383
"Jeffrey Hammonds"	0.124838
"Kevin Elster"	0.124381
"Neifi Perez"	0.124323
"Damion Easley"	0.124298
Palmeiro	0.123745
"Rickey Henderson"	0.123689
"Luis Gonzalez"	0.123667
"Einar Diaz"	0.12357
"Charlie Hayes"	0.123344
Zeile	0.123147
"Bobby Abreu"	0.122977
"Danny Bautista"	0.122975
"Todd Hundley"	0.122934
Giambi	0.122844
Bagwell	0.122782
"Frank Catalanotto"	0.122716
"Brian Giles"	0.12257
"Lenny Harris"	0.122545
"Edgar Renteria"	0.122444
"Pat Meares"	0.122336
"Corey Koskie"	0.122298
"Desi Relaford"	0.122223
"Gary Gaetti"	0.122052
"Brian Hunter"	0.121604
"Bubba Trammell"	0.121545
Tatis	0.121332
"Stan Javier"	0.1213
"Greg Colbrunn"	0.121247
"Jay Payton"	0.121212
"Gary Sheffield"	0.121178
"Derek Lowe"	0.120871
"Alex Rodriguez"	0.120774
"Joe McEwing"	0.120597
"B.J Surhoff"	0.120543
"Brian Jordan"	0.119901
"Fernando Vina"	0.11988
Higginson	0.119849
"Dave Martinez"	0.119653
"Pokey Reese"	0.118967
Surhoff	0.118907
"Todd Walker"	0.118505
"Matt Williams"	0.118464
Frye	0.118183
"Willie Greene"	0.118047
"Ron Gant"	0.118029
"Juan Gonzalez"	0.117845
"Marquis Grissom"	0.117404
"Jason Kendall"	0.117373
"Tony Fernandez"	0.117342
"Doug Glanville"	0.116775
"Todd Zeile"	0.115323
Ledee	0.115046
"Mark McLemore"	0.114938
"Wil Cordero"	0.114815
Sexson	0.114628
Segui	0.114278
Vizquel	0.11389
"CARLOS HERNANDEZ"	0.113848
Hatteberg	0.113793
Agbayani	0.113743
"Kevin Stocker"	0.113487
"Moises Alou"	0.113346
"Tony Graffanino"	0.113297
Jeter	0.11324
Klesko	0.113083
"Matt Mieske"	0.112657
"Delino DeShields"	0.112144
Lofton	0.111847
Bichette	0.11171
"Devon White"	0.111684
"Ray Lankford"	0.111599
"Miguel Cairo"	0.110994
"Mike Lieberthal"	0.110937
"Roberto Alomar"	0.110583
Spiers	0.110238
"Enrique Wilson"	0.110154
Ordonez	0.110003
Bordick	0.109953
"Luis Polonia"	0.109298
Fryman	0.109231
Grudzielanek	0.108858
"Steve Finley"	0.107702
McLemore	0.107583
"Brady Anderson"	0.107574
"Al Martin"	0.107483
Tejada	0.107285
Velarde	0.107158
Burnitz	0.106705
"Rafael Furcal"	0.106191
Gilkey	0.106075
"Gabe Kapler"	0.105945
"Lance Berkman"	0.105847
"Tom Lampkin"	0.105596
Biggio	0.10555
Abreu	0.105513
Thome	0.105363
"Andy Sheets"	0.105329
Delgado	0.104677
Gwynn	0.10429
"Carlos Baerga"	0.104089
"Reggie Sanders"	0.104071
"Carlos Guillen"	0.104047
"Shane Spencer"	0.103854
Leyritz	0.103644
"Tony Gwynn"	0.102708
"Brook Fordyce"	0.102598
"Ellis Burks"	0.102508
"Bobby Bonilla"	0.102381
Glanville	0.102355
"Joe Girardi"	0.102147
"J.D Drew"	0.101753
Dunston	0.101572
"Todd Greene"	0.101525
"Mike Piazza"	0.101453
"Carlos Febles"	0.1014
"Kurt Abbott"	0.101163
"Brian Rose"	0.101115
"Eric Young"	0.100943
Kapler	0.100774
"Raul Mondesi"	0.10077
"Vladimir Guerrero"	0.100561
"Karim Garcia"	0.100305
"Eric Davis"	0.100212
))
("Brian Dennehy" (desc 2381.14) (sims
"Burt Reynolds"	0.153089
"Robert DeNiro"	0.141381
"Matthew McConaughey"	0.128169
"Christopher Reeve"	0.127284
"Mark Wahlberg"	0.117938
"Russell Crowe"	0.111718
"Patrick Stewart"	0.109227
"Richard Dreyfuss"	0.108722
"Tom Selleck"	0.107789
"Rob Lowe"	0.107063
"Kate Winslet"	0.106859
"Sean Penn"	0.103224
"Denzel Washington"	0.101449
"Edward Norton"	0.101029
"Liam Neeson"	0.0998972
"Samuel L. Jackson"	0.0983436
"Jack Lemmon"	0.0964239
"Gabriel Byrne"	0.0955271
"Kevin Bacon"	0.0951389
"Johnny Depp"	0.0946741
"Charlton Heston"	0.0928558
"Roberto Benigni"	0.0919193
"William H. Macy"	0.0916501
"Melanie Griffith"	0.0915439
"Will Smith"	0.09031
"Martin Sheen"	0.0901844
"Richard Gere"	0.0890788
"James Woods"	0.0889769
"Kevin Spacey"	0.0886301
"Michael J. Fox"	0.0883055
"Robert de Niro"	0.0877947
"Harvey Keitel"	0.0875982
"Gregory Peck"	0.0875351
"Jon Voight"	0.0874669
"Don Cheadle"	0.0874272
"Bill Paxton"	0.0868135
"Alec Baldwin"	0.0859448
"Kevin Costner"	0.0840575
"David Duchovny"	0.083755
"Tommy Lee Jones"	0.0836947
"Stanley Tucci"	0.0830433
"Bernadette Peters"	0.0830071
"William Shatner"	0.0829319
"Matthew Broderick"	0.0824739
"Annette Bening"	0.0807287
"Antonio Banderas"	0.0800302
"Jack Nicholson"	0.0787266
"James Van Der Beek"	0.078724
"Susan Sarandon"	0.0785626
"John Goodman"	0.0784386
"Keri Russell"	0.0784066
"Michael Caine"	0.0781749
"Geoffrey Rush"	0.0781482
"Jason Alexander"	0.0775669
"Helen Hunt"	0.0774919
"Tim Robbins"	0.0773492
"Chevy Chase"	0.0770056
"Andie MacDowell"	0.0764036
"Ryan Phillippe"	0.0761997
"Danny DeVito"	0.0759586
"Wesley Snipes"	0.075912
"Taye Diggs"	0.0758569
"Ben Affleck"	0.0757746
"Kenneth Branagh"	0.0756802
"Ewan McGregor"	0.0756408
"Vanessa Redgrave"	0.075479
"Kathy Bates"	0.0750997
"Meg Ryan"	0.0744694
"JOHN TURTURRO"	0.0743942
"Sean Connery"	0.07415
"Warren Beatty"	0.0733455
"Jimmy Smits"	0.0732317
"Cuba Gooding Jr."	0.0726029
"Hugh Grant"	0.0724118
"Sylvester Stallone"	0.072216
"Jamie Foxx"	0.0721724
"Natasha Richardson"	0.071312
"Glenn Close"	0.070759
"Haley Joel Osment"	0.0702238
"Holly Hunter"	0.0697084
"John Cusack"	0.0696201
"Tim Allen"	0.0696003
"Nicole Kidman"	0.0695912
"Henry Fonda"	0.0695897
"John Travolta"	0.0691
"Leonardo DiCaprio"	0.0690816
"Kim Basinger"	0.069064
"Carol Burnett"	0.0686776
"Tom Cruise"	0.0685302
"Gene Hackman"	0.0684617
"Janeane Garofalo"	0.0684169
"Robert Downey Jr."	0.0683846
"Brad Pitt"	0.0681842
"Nathan Lane"	0.0678141
"Christian Slater"	0.0675761
"Oliver Platt"	0.0674795
"Woody Harrelson"	0.0674746
"Michael Douglas"	0.0672569
"Omar Epps"	0.0672402
"Rupert Everett"	0.0671483
Dennehy	0.0670452
"Dennis Hopper"	0.0668975
"Sigourney Weaver"	0.0658409
"David Arquette"	0.0656711
"Kelsey Grammer"	0.0656588
"Sarah Jessica Parker"	0.0655679
"James Cromwell"	0.0653214
"Robin Williams"	0.0650718
"Ted Danson"	0.0649016
"Ashley Judd"	0.0648005
"Greg Kinnear"	0.0646629
"Carmen Electra"	0.0646285
"Dustin Hoffman"	0.0643192
"Robin Wright Penn"	0.0641047
"Sidney Poitier"	0.064092
"Billy Bob Thornton"	0.0638781
"Norm MacDonald"	0.0637652
"Tom Hanks"	0.0633227
"Ian Holm"	0.0632166
"Halle Berry"	0.0632064
"Harrison Ford"	0.0631381
"Jay Mohr"	0.0628053
"Marlon Brando"	0.0626433
"James Earl Jones"	0.0618482
"Joseph Fiennes"	0.0611718
"James Stewart"	0.0609794
"Dennis Quaid"	0.0609011
"John Malkovich"	0.0604623
"Uma Thurman"	0.0601349
"Catherine Deneuve"	0.0595714
"Ray Romano"	0.0594403
"George Clooney"	0.0592264
"Dan Hedaya"	0.0592059
"Jeremy Irons"	0.0591552
"Kevin Kline"	0.0590537
"Arnold Schwarzenegger"	0.058858
"Adam Sandler"	0.0588556
"Sela Ward"	0.0587796
"Mary Tyler Moore"	0.0587096
"Jim Carrey"	0.0576732
"Judi Dench"	0.0575837
"Robert Redford"	0.0575206
"David Spade"	0.0574337
"Chow Yun-Fat"	0.0571899
"Sally Field"	0.0570397
"Denis Leary"	0.0568809
"Bill Murray"	0.0566571
"Patricia Arquette"	0.056443
"Nicolas Cage"	0.0557293
"Leelee Sobieski"	0.0554631
"Brendan Fraser"	0.0554242
"Keanu Reeves"	0.0553587
"Steve Martin"	0.0553524
"Paul Newman"	0.0552819
"Laurence Fishburne"	0.055264
"Hilary Swank"	0.0550495
"Danny Glover"	0.0550383
"Kirk Douglas"	0.0549089
"Spencer Tracy"	0.0546728
"Bruce Willis"	0.054625
"Julie Andrews"	0.0545883
"Martin Lawrence"	0.0543828
"Burt Lancaster"	0.0543639
"Whoopi Goldberg"	0.0541748
"Mike Myers"	0.0539967
"Claire Danes"	0.0536915
"Sandra Bullock"	0.0534484
"John Leguizamo"	0.0534083
"Jessica Lange"	0.0532633
"Meryl Streep"	0.0530296
"Angela Bassett"	0.0530175
"Jude Law"	0.0529689
Costner	0.0528915
"Ralph Fiennes"	0.0525784
"Clint Eastwood"	0.0522509
"Val Kilmer"	0.0521129
"Ally Sheedy"	0.0519944
"Cate Blanchett"	0.0518795
"Alicia Silverstone"	0.0517131
"Pierce Brosnan"	0.0512369
Sealy	0.0511273
"Jon Stewart"	0.0509005
"Ethan Hawke"	0.0508493
"Mandy Patinkin"	0.0507611
"Matt Damon"	0.0505948
"Anthony Hopkins"	0.0505811
"Bette Midler"	0.0504012
"Heather Graham"	0.0502462
"James Cagney"	0.0497792
"Juliette Lewis"	0.0496977
"John Wayne"	0.0496189
"Vivien Leigh"	0.0496183
"Ian McKellen"	0.0495815
"Diane Keaton"	0.0493746
"Christopher Walken"	0.0493556
"Julia Roberts"	0.049231
"Kirsten Dunst"	0.0491173
"Tracey Ullman"	0.0491146
"Jackie Chan"	0.0490149
"Chris Klein"	0.0485944
))
("Brian Giles" (desc 3573.21) (sims
"Pat Meares"	0.319067
"Jose Guillen"	0.306128
"Brant Brown"	0.299292
"John Vander Wal"	0.273035
"Richie Sexson"	0.2718
"Matt Lawton"	0.26575
"Al Martin"	0.260983
"Bruce Aven"	0.255508
"Geoff Jenkins"	0.253484
"Eric Owens"	0.246643
"Rondell White"	0.239525
"Preston Wilson"	0.236138
"Mark Kotsay"	0.225002
"Matt Stairs"	0.221532
"Jeffrey Hammonds"	0.220901
"Warren Morris"	0.219874
"Dante Bichette"	0.218433
"Bobby Higginson"	0.216828
"Lance Berkman"	0.214887
"Dmitri Young"	0.214036
"Quinton McCracken"	0.213036
"Bobby Abreu"	0.211954
"Reggie Sanders"	0.211305
"Carlos Lee"	0.209529
"Danny Bautista"	0.209516
"Juan Encarnacion"	0.207089
"Marquis Grissom"	0.205325
Vidro	0.205209
"Travis Fryman"	0.203626
"Jason Kendall"	0.19869
"Kevin Young"	0.195953
"Johnny Damon"	0.195101
"Dave Martinez"	0.194296
"Rich Becker"	0.192608
"Butch Huskey"	0.192574
"Luis Gonzalez"	0.191714
"Mike Benjamin"	0.191068
Abreu	0.19089
"Cliff Floyd"	0.190693
"Deivi Cruz"	0.190145
Rolen	0.189292
"Ron Gant"	0.189257
Burnitz	0.189012
"Vladimir Guerrero"	0.188778
"Bubba Trammell"	0.187612
"Ellis Burks"	0.187255
"Jeff Cirillo"	0.186784
"Tony Womack"	0.18573
Fullmer	0.185302
"Luis Polonia"	0.185
"Marty Cordova"	0.184012
"Kenny Lofton"	0.183898
"Glenallen Hill"	0.183288
"Stan Javier"	0.18277
Lankford	0.182432
Cirillo	0.180376
"Ben Grieve"	0.180272
"Jim Thome"	0.179798
"Richard Hidalgo"	0.179668
"Henry Rodriguez"	0.178523
"Shawn Green"	0.177818
"Karim Garcia"	0.177121
"Jermaine Dye"	0.177017
"Marvin Benard"	0.176048
"Moises Alou"	0.175928
"Ricky Ledee"	0.175433
"Gerald Williams"	0.174723
"Jeff Conine"	0.174553
"Damian Miller"	0.174432
"Jon Nunnally"	0.173925
"Brian Hunter"	0.172099
"Doug Glanville"	0.171527
"Rob Ducey"	0.171499
"Jay Buhner"	0.170914
"Bernard Gilkey"	0.170812
"Ray Lankford"	0.170331
"Jim Edmonds"	0.168382
"Sandy Alomar"	0.168239
"Manny Ramirez"	0.167962
"Terrence Long"	0.167014
Tatis	0.166954
"Ed Sprague"	0.166663
"Chris Widger"	0.166532
"Trenidad Hubbard"	0.166429
"Jeremy Giambi"	0.16589
"Derek Bell"	0.16444
"Ruben Rivera"	0.163372
"Darin Erstad"	0.162753
"Brady Anderson"	0.162648
"Jay Bell"	0.161808
"Carlos Beltran"	0.161626
"Darren Bragg"	0.160464
Higginson	0.15984
"Roger Cedeno"	0.159732
"Derrek Lee"	0.159712
"Garret Anderson"	0.159578
"Jeromy Burnitz"	0.15954
"Jason Giambi"	0.158987
"Mike Cameron"	0.15879
"Paul Konerko"	0.157506
"Damon Buford"	0.156485
"Orlando Palmeiro"	0.156011
"Bill Mueller"	0.155975
"Scott Spiezio"	0.155885
"Scott Rolen"	0.155669
"Mark Grace"	0.155277
"Neifi Perez"	0.15522
Aurilia	0.15503
Alicea	0.154988
"J.D Drew"	0.154482
"Phil Nevin"	0.154229
"Wil Cordero"	0.153974
"Gary Sheffield"	0.153702
"Dean Palmer"	0.153373
"Jose Cruz Jr."	0.153359
Alfonzo	0.153275
"Brian Jordan"	0.153269
"Jose Valentin"	0.15281
"Brian McRae"	0.15266
"Magglio Ordonez"	0.151603
"Benny Agbayani"	0.151016
"Gregg Jefferies"	0.150706
"Rich Aurilia"	0.150606
"J.T Snow"	0.150482
"Darren Lewis"	0.150402
"Dave Hansen"	0.15037
"Eric Karros"	0.150172
"Todd Pratt"	0.150101
"Joe Randa"	0.150077
Randa	0.149857
"Todd Hollandsworth"	0.149456
"Rusty Greer"	0.149453
"Raul Ibanez"	0.149286
"Michael Tucker"	0.149016
"B.J Surhoff"	0.149002
"Shannon Stewart"	0.148782
"Jason McDonald"	0.148526
"Greg Vaughn"	0.148091
"Bill Spiers"	0.147932
"Matt Luke"	0.147763
"Jose Hernandez"	0.147559
McGriff	0.147037
"Steve Finley"	0.14703
"Darryl Hamilton"	0.146892
"Chad Curtis"	0.146519
"Mark Loretta"	0.146499
Karros	0.146202
"Mickey Morandini"	0.145936
Glanville	0.145749
"Jay Payton"	0.145617
"Troy O'Leary"	0.145404
"Trot Nixon"	0.145238
"Jeff Bagwell"	0.145066
"Gabe Kapler"	0.145038
Bichette	0.144881
"Russ Johnson"	0.144751
"Ron Coomer"	0.144496
"Tom Goodwin"	0.144165
"Matt Franco"	0.144055
"Matt Mieske"	0.143864
"Todd Helton"	0.143692
Renteria	0.143658
"Mike Lieberthal"	0.143546
"Troy Glaus"	0.143536
"Cristian Guzman"	0.143286
"Jeff Kent"	0.142988
Cordero	0.14279
"Todd Walker"	0.141882
Klesko	0.141503
Batista	0.141248
Olerud	0.14109
"Enrique Wilson"	0.140984
Nevin	0.14079
"Damian Jackson"	0.140643
"Einar Diaz"	0.140517
"Mike Sweeney"	0.139178
"Eddie Taubensee"	0.138692
"Jose Vidro"	0.138524
"Melvin Mora"	0.138287
"Jason Varitek"	0.138038
"Kirk Gibson"	0.138019
Sexson	0.137898
"Edgardo Alfonzo"	0.137699
"Todd Zeile"	0.137089
"Will Clark"	0.136841
"Peter Bergeron"	0.136428
"Tim Salmon"	0.13641
"John Mabry"	0.136078
"John Jaha"	0.136027
"Andruw Jones"	0.135569
"David Ortiz"	0.135388
"Roberto Kelly"	0.135078
"Tony Batista"	0.134992
"Rickey Henderson"	0.13432
Spiers	0.134264
"Miguel Tejada"	0.133817
Bordick	0.133748
"F.P Santangelo"	0.133748
"Devon White"	0.133495
Hollins	0.133307
"Carl Everett"	0.132917
"Barry Bonds"	0.132781
"Mike Simms"	0.132772
"Paul Bako"	0.1324
"Lenny Harris"	0.132327
"Tony Gwynn"	0.131984
"Paul O'Neill"	0.131757
"Ryan Klesko"	0.131501
Glaus	0.131453
"Bernie Williams"	0.13065
Dunston	0.130536
"Javy Lopez"	0.130383
grieve	0.130196
Gant	0.129751
Elster	0.129646
Beltran	0.12944
Tejada	0.129287
"Roberto Alomar"	0.12923
"Kevin Jordan"	0.129006
"Bengie Molina"	0.128994
"Tino Martinez"	0.128975
"Alex Gonzalez"	0.128965
"Sean Casey"	0.12896
"Miguel Cairo"	0.12855
DeShields	0.127727
"Aaron Boone"	0.127161
"Lance Johnson"	0.127048
"Daryle Ward"	0.126283
"Luis Alicea"	0.126263
"Adam Kennedy"	0.125957
"Bret Boone"	0.125805
"John Olerud"	0.125314
Giles	0.125242
Leyritz	0.124742
Lieberthal	0.124594
"Randy Velarde"	0.124525
"Ken Caminiti"	0.124274
"Mike Bordick"	0.124211
Valentin	0.124008
Lofton	0.123849
Fryman	0.123507
Giambi	0.123391
"Raul Mondesi"	0.123186
"Fred McGriff"	0.123142
Bagwell	0.122955
"Omar Vizquel"	0.12292
"Tony Eusebio"	0.122685
"Brian Daubach"	0.12257
"Tony Phillips"	0.122351
Hidalgo	0.122266
"Adrian Beltre"	0.121878
Palmeiro	0.121852
"Carlos Delgado"	0.121787
Agbayani	0.121342
"Shane Spencer"	0.121197
"GERONIMO BERROA"	0.120776
"Herbert Perry"	0.120462
"Otis Nixon"	0.120325
"Kurt Abbott"	0.120111
"Tony Clark"	0.119794
Veras	0.119702
"Jim Leyritz"	0.118993
Vizquel	0.118891
"David Bell"	0.118774
Grudzielanek	0.118272
"Rico Brogna"	0.11817
Guillen	0.117872
Javier	0.117588
"Mike Lowell"	0.117542
"Craig Biggio"	0.117053
"Midre Cummings"	0.116997
"Eric Chavez"	0.116855
"Matt Williams"	0.116787
"Kelly Stinnett"	0.116009
"Scott Brosius"	0.11591
Erstad	0.11581
"Barry Larkin"	0.115754
"Bobby Bonilla"	0.115712
"Charlie Hayes"	0.115601
"Tim Bogar"	0.115369
"David Dellucci"	0.115258
Brosius	0.115222
Hollandsworth	0.115175
"Todd Greene"	0.115164
Bautista	0.115111
"Mike Stanley"	0.115077
Castilla	0.114807
Thome	0.114406
"Ruben Mateo"	0.114275
Lawton	0.114155
Beltre	0.114155
"Harold Baines"	0.114055
Segui	0.114014
"Jose Offerman"	0.11392
Surhoff	0.113591
Ordonez	0.113046
"Pat Burrell"	0.112403
"Ray Durham"	0.112087
Zeile	0.112011
Stinnett	0.11144
"Nomar Garciaparra"	0.111331
"Larry Walker"	0.111295
"Ivan Rodriguez"	0.111011
"Keith Lockhart"	0.110979
Velarde	0.110714
Burks	0.110218
"Vinny Castilla"	0.110133
"John Valentin"	0.109992
"Edgar Martinez"	0.109911
"Brook Fordyce"	0.10991
"Chipper Jones"	0.109847
Biggio	0.109773
"Robin Ventura"	0.109702
Alomar	0.109636
"Juan Gonzalez"	0.109507
"Eric Davis"	0.109265
"Wally Joyner"	0.109202
Bergeron	0.108574
"Ricky Gutierrez"	0.108199
"Chris Gomez"	0.108109
Caminiti	0.108019
"Shawon Dunston"	0.107629
"Derek Jeter"	0.107565
"Travis Lee"	0.107563
"Mark Grudzielanek"	0.10754
"Russ Davis"	0.10748
Catalanotto	0.107412
"Jose Canseco"	0.107335
Frye	0.106736
Canseco	0.106475
"Andy Fox"	0.10639
Meares	0.105596
"Mike Lansing"	0.105311
"Frank Thomas"	0.105269
Sheffield	0.104876
"Mark McLemore"	0.104874
"Fernando Vina"	0.104766
"David Segui"	0.104435
Daubach	0.10376
"Tony Graffanino"	0.103019
"Pokey Reese"	0.102409
Hundley	0.101851
"Joe Carter"	0.101757
"Walt Weiss"	0.101232
Galarraga	0.101144
"Jose Vizcaino"	0.101079
Bragg	0.101072
"Tim Raines"	0.101063
"Tony Fernandez"	0.100892
"Albert Belle"	0.100851
"Corey Koskie"	0.100832
Baerga	0.100671
"Rafael Palmeiro"	0.100353
"Brad Fullmer"	0.100334
"Todd Hundley"	0.100294
"Mike Lamb"	0.100207
"Charles Johnson"	0.100196
"Dave Hollins"	0.100127
"Kevin Stocker"	0.100053
))
("Brian Grant" (desc 4444.23) (sims
"Rasheed Wallace"	0.325931
"Greg Anthony"	0.276552
"Isaiah Rider"	0.269115
"Damon Stoudamire"	0.258704
"Arvydas Sabonis"	0.236475
"Steve Smith"	0.235666
"Jermaine O'Neal"	0.224475
"Detlef Schrempf"	0.209653
"Derrick Coleman"	0.181837
"Bonzi Wells"	0.181152
"Jim Jackson"	0.180902
"Scottie Pippen"	0.168142
"Vin Baker"	0.159735
"Austin Croshere"	0.152899
"Mitch Richmond"	0.151162
"Gary Trent"	0.149495
"Clifford Robinson"	0.149228
"Antonio McDyess"	0.148532
"Stacey Augmon"	0.146214
"Dale Davis"	0.146193
"Grant Long"	0.144737
"Alan Henderson"	0.144109
"Shawn Kemp"	0.142117
"Tom Gugliotta"	0.140158
"P.J Brown"	0.1381
"Theo Ratliff"	0.138015
"Corliss Williamson"	0.136722
"Charles Oakley"	0.135128
"Vlade Divac"	0.133541
"Cedric Ceballos"	0.132055
"Charles Barkley"	0.1305
"Christian Laettner"	0.130414
"Chris Webber"	0.13004
"Michael Finley"	0.129925
"Juwan Howard"	0.129787
"Jarvis Turner"	0.129749
"Lamond Murray"	0.128443
"Kelvin Cato"	0.128251
"Robert Horry"	0.126026
"Jalen Rose"	0.125949
"Danny Fortson"	0.124806
"Otis Thorpe"	0.122478
"Walt Williams"	0.122217
"Jamal Mashburn"	0.121749
"Maurice Taylor"	0.121084
"Bryon Russell"	0.119953
"Gabe Muoneke"	0.118357
"Jerry Stackhouse"	0.118155
"Chris Gatling"	0.117496
"Penny Hardaway"	0.117128
"Tracy McGrady"	0.116006
"Michael Wright"	0.115963
"Tim Thomas"	0.11483
"Carlos Rogers"	0.113791
"Chris Crawford"	0.113286
"Elden Campbell"	0.112987
"Kevin Garnett"	0.112838
"Kurt Thomas"	0.111643
"Samaki Walker"	0.111641
"SCOTT BURRELL"	0.110953
"Glenn Robinson"	0.110903
"Joe Smith"	0.109525
"John Wallace"	0.108773
"CORIE BLOUNT"	0.10876
"Kenyon Martin"	0.108607
"Rick Fox"	0.107878
"Kevin Freeman"	0.107296
"Antonio Davis"	0.106891
"Mark Bryant"	0.106636
"Anthony Mason"	0.106381
"Keith Van Horn"	0.103899
"Rodney Rogers"	0.103176
"Mark Madsen"	0.102407
"Ruben Patterson"	0.101625
"Raef LaFrentz"	0.101618
"Matt Geiger"	0.101474
"Ante Razov"	0.101441
"Grant Hill"	0.100795
"Clarence Weatherspoon"	0.100351
"Chris Porter"	0.0996598
"Sam Clancy"	0.0996487
"Dan Majerle"	0.0994525
"Karl Malone"	0.0991992
"Shareef Abdur-Rahim"	0.0991027
"Glen Rice"	0.0975247
"Tamika Catchings"	0.0968391
"Kenny Thomas"	0.0966676
"J.R Reid"	0.0966412
"A.C. Green"	0.0964332
"Lorenzen Wright"	0.0957512
"Morris Peterson"	0.0957322
"Larry Johnson"	0.0957114
"Chris Mullin"	0.0955283
"Aaron Williams"	0.0947918
"Bill Guerin"	0.0946102
"Hakeem Olajuwon"	0.0938928
"Travis Knight"	0.0937546
Sabonis	0.0935951
"Othella Harrington"	0.0932486
"Jeff Friesen"	0.0928615
"Shandon Anderson"	0.0927455
"Donyell Marshall"	0.0925703
"George McCloud"	0.0917179
"Marcus Camby"	0.0917143
"Alonzo Mourning"	0.0916946
"Hersey Hawkins"	0.0915204
"Sherman Douglas"	0.091511
"Kendall Gill"	0.0906651
"Hu Weidong"	0.0904405
"Horace Grant"	0.0902226
"Jayson Williams"	0.0901507
"Kevin Willis"	0.0899988
"Dale Ellis"	0.0892622
"Alexei Kovalev"	0.089204
"Jelani McCoy"	0.0891117
"Sean Rooks"	0.0888859
"Rashard Lewis"	0.088217
"Gary Payton"	0.0881428
"Brian Shaw"	0.0879902
"Stern John"	0.087924
"Sean Farnham"	0.0878832
"Brian Scalabrine"	0.0878043
"Marcus Fizer"	0.0873537
"Allen Iverson"	0.0868661
"Tim Hardaway"	0.0861775
"Kris Clack"	0.0861751
"Tyrone Nesby"	0.0861232
"Etan Thomas"	0.0861222
"Ike Austin"	0.0858064
"Brian Skinner"	0.0857751
"Jerome Moiso"	0.085754
"Theo Fleury"	0.0857109
"Richard Jefferson"	0.0854328
"Antoine Carr"	0.0852611
"Sam Perkins"	0.0845689
"John Stockton"	0.0839099
"Chris Carrawell"	0.083863
"Rick Tocchet"	0.0838433
"Chris Mills"	0.0838409
Schrempf	0.0836779
"Wendel Clark"	0.0835403
"Nick Van Exel"	0.0833117
"Bobby Phills"	0.0826612
"Ziggy Palffy"	0.0826068
"Shawn Marion"	0.082555
"David Robinson"	0.0825005
"Antawn Jamison"	0.0820234
"Shane Battier"	0.0819564
"Tony Massenburg"	0.0813966
"Dickey Simpkins"	0.0813566
"Doug Gilmour"	0.081179
"Robert Traylor"	0.0811158
"Sheryl Swoopes"	0.0806737
"Pat Garrity"	0.0805737
Stoudamire	0.0805464
"Dikembe Mutombo"	0.0800254
"Mark Jackson"	0.0797723
"Steve Kerr"	0.0795829
"Scot Pollard"	0.0792732
"Tim Duncan"	0.0791629
"Ron Harper"	0.079137
"Brian McBride"	0.0788897
"Jerome Kersey"	0.0783607
Gugliotta	0.0780044
"Matthew Barnaby"	0.0779091
"Joe Kleine"	0.0778288
"Zydrunas Ilgauskas"	0.0775767
"Toni Kukoc"	0.0775105
"Nick Anderson"	0.0772268
"Danny Manning"	0.077141
"Rico Hines"	0.0769128
"JaRon Rush"	0.0765503
"Greg Adams"	0.076235
"Sun Wen"	0.075772
"Dennis Scott"	0.0757387
"Brendan Shanahan"	0.0748142
"Anfernee Hardaway"	0.074434
"Chris Childs"	0.0743928
"Mike Miller"	0.0742249
Artest	0.0741577
"Sean Elliott"	0.0741447
"Chris Drury"	0.0741188
"Eric Piatkowski"	0.0739302
"Jeremy Roenick"	0.0736157
Ceballos	0.072641
"Jason Allison"	0.0725161
"Harry Kewell"	0.0724656
"Raul Diaz Arce"	0.0723598
"Jason Kidd"	0.0722812
Pippen	0.0722601
"Bob Sura"	0.07196
"Dennis Rodman"	0.0718612
"Shannon MacMillan"	0.0718272
"Billy Owens"	0.0715984
"Mario Elie"	0.0714007
"Jeff Hornacek"	0.0712274
"Joe Thornton"	0.0712093
"Tiffeny Milbrett"	0.0711273
Laettner	0.0709731
"Rod Strickland"	0.0705665
))
("Brian Griese" (desc 3435.69) (sims
Griese	0.213346
"Charlie Batch"	0.203609
"Bubby Brister"	0.200894
"Trent Dilfer"	0.19064
"Jeff Garcia"	0.186408
"Tony Graziani"	0.186066
"Marcus Outzen"	0.184634
"Trent Green"	0.182495
"Shaun King"	0.180295
"JOHN FRIESZ"	0.179544
"Peyton Manning"	0.175324
"Todd Husak"	0.171376
"Glenn Foley"	0.171081
"Ray Lucas"	0.165945
"Doug Pederson"	0.163947
"Kent Graham"	0.157214
"Kerry Collins"	0.154353
"Jake Plummer"	0.152925
"Michael Bishop"	0.152757
"Mike Van Raaphorst"	0.151586
"Jon Kitna"	0.149742
"Chris Weinke"	0.14921
"Ryan Leaf"	0.14866
"Tony Banks"	0.144333
"Elvis Grbac"	0.143485
"Jim Druckenmiller"	0.142592
"Rob Johnson"	0.142307
"Damon Huard"	0.141988
"Rich Gannon"	0.141185
"Gus Frerotte"	0.139349
"Chris Chandler"	0.139052
"Doug Johnson"	0.1369
"Dave Brown"	0.136571
"John Elway"	0.136008
"Brock Huard"	0.135771
"Rick Mirer"	0.135416
"Bobby Hoying"	0.133689
"Jason Garrett"	0.133297
"Daunte Culpepper"	0.132145
"Randall Cunningham"	0.13212
"Steve Beuerlein"	0.131476
"Danny Kanell"	0.129873
"Ty Detmer"	0.126799
"Bobby Newcombe"	0.126724
"Jeff Blake"	0.126074
"Akili Smith"	0.125729
"Mark Brunell"	0.124631
"Brad Johnson"	0.124576
"Ryan Kealy"	0.124252
"Steve McNair"	0.124243
Applewhite	0.122963
"John Fox"	0.122884
"Tim Couch"	0.122685
"Scott Mitchell"	0.12251
"Jeff George"	0.122237
"Bill Romanowski"	0.121179
Kanell	0.11835
"Gary Kubiak"	0.117392
"Drew Bennett"	0.116666
"Chad Pennington"	0.11597
"Paul Justin"	0.114922
"Tom Brady"	0.114714
"Michael Booker"	0.114325
"Vinny Testaverde"	0.113907
"Rodney Peete"	0.112658
"Jim Harbaugh"	0.112148
"Jarious Jackson"	0.11183
"Tee Martin"	0.111761
"Neil O'Donnell"	0.111713
"Chris Simms"	0.110964
Manning	0.110137
"John Avery"	0.108967
"Warren Moon"	0.108292
"Troy Aikman"	0.107806
"Danny Wuerffel"	0.106996
"Carson Palmer"	0.106756
Boller	0.106688
"Drew Brees"	0.106618
Elway	0.106206
Huard	0.105021
"Erik Kramer"	0.104016
"Michael Vick"	0.103365
Dilfer	0.102645
Favre	0.101505
"Steve Atwater"	0.100788
"Donovan McNabb"	0.0999451
Cunningham	0.0998463
Kitna	0.0993373
"Joe Hamilton"	0.098915
"Brett Favre"	0.098636
"Michael Olowokandi"	0.0975829
Plummer	0.0970615
"Tyronn Lue"	0.0965913
"Keith Brooking"	0.096033
"Steve Young"	0.0957634
"Drew Henson"	0.0949904
"Cory Paus"	0.094815
"Ryan McCann"	0.0946871
"Van Raaphorst"	0.0944587
"Byron Hanspard"	0.0939368
"Scott Zolak"	0.0937504
McNown	0.0931486
"Cade McNown"	0.0917451
Brees	0.0916705
"Doug Flutie"	0.0914998
"Kordell Stewart"	0.0914452
"Champ Bailey"	0.0913299
"Brian Rose"	0.0913034
"Major Applewhite"	0.0912255
Mirer	0.0909615
"Kurt Warner"	0.0905477
"Dale Carter"	0.0903692
Weinke	0.0901418
"Eric Zeier"	0.0893485
"Steve DeBerg"	0.0890622
"Dan Marino"	0.0884868
Graziani	0.0884032
"Joe Montana"	0.0879222
"Shannon Sharpe"	0.0870392
"Jason Elam"	0.0866837
"Wolfgang Schaeuble"	0.0860647
"Flozell Adams"	0.0857443
"Terrell Davis"	0.0856002
"Drew Bledsoe"	0.0854639
"Jeff Weaver"	0.0848912
McNabb	0.0845445
"Tony Simmons"	0.0840487
"Roger Staubach"	0.0838811
Brady	0.083488
"Tony George"	0.0833354
McCown	0.0827987
Gannon	0.0827086
"Darrien Gordon"	0.0824642
"Greg Ellis"	0.0824444
"Kevin Faulk"	0.0819427
"Quincy Carter"	0.0817409
"Manny Fernandez"	0.0797902
Detmer	0.0793093
"Ryan Glynn"	0.0792903
"Robert Edwards"	0.0786919
Outzen	0.078276
"Michael Myers"	0.0780784
"Ed McCaffrey"	0.0778877
"Henri Crockett"	0.0775514
"Jeff Ogden"	0.0767505
Pederson	0.076737
"Solomon Page"	0.0762348
"Terry Bradshaw"	0.0751873
"Mike Bibby"	0.0739251
Tupa	0.0737893
Kealy	0.0727079
"Phil Simms"	0.0726554
"Rod Smith"	0.0719763
Garrett	0.0719006
"Sedrick Shaw"	0.0715972
DeBerg	0.0715707
"Ebenezer Ekuban"	0.0715629
"Charlie Ward"	0.0713529
Fiedler	0.0710461
Brister	0.0708502
"Russ Ortiz"	0.0706841
"Damien Woody"	0.0705452
"Brian Skinner"	0.0703822
Peyton	0.0702517
QB	0.0699656
Grbac	0.0698128
"Jim Kelly"	0.0694522
"Tim Dwight"	0.0691059
Zolak	0.0689604
"Brad Penny"	0.0689376
Marino	0.0687872
Aikman	0.0685668
"Mike Shanahan"	0.0683213
"Pat Garrity"	0.0677923
"Ryan Dempster"	0.0677071
"Raef LaFrentz"	0.0675057
"Rashard Lewis"	0.0668383
"Neil Smith"	0.0662791
Paus	0.0662698
"Dwayne Goodrich"	0.0661261
"Bonzi Wells"	0.066104
Rongen	0.0659677
"Kevin Williams"	0.0659045
Schoeneweis	0.0658806
Henson	0.0657559
Titov	0.0655209
"Jin Ho Cho"	0.0653981
Hasselbeck	0.0652447
"Juha Ylonen"	0.0651851
"Norm Maracle"	0.0650409
"Jason Fabini"	0.0647892
Harbaugh	0.0644744
"Brett Hinchliffe"	0.0643659
Testaverde	0.0642886
Meche	0.064
Druckenmiller	0.0635071
"tight end"	0.0632655
"Ed Yarnall"	0.0627715
Brunell	0.0627287
Fiset	0.0626851
))
("Brian Hunter" (desc 5057.17) (sims
"Eric Owens"	0.277599
"Marvin Benard"	0.240105
"Bruce Aven"	0.228799
"Otis Nixon"	0.226306
"Gerald Williams"	0.226032
"Ruben Rivera"	0.221794
"Ozzie Guillen"	0.217032
"Geoff Jenkins"	0.216536
"Johnny Damon"	0.213476
"F.P Santangelo"	0.213338
"Bobby Higginson"	0.213263
"Tom Goodwin"	0.210684
"Doug Glanville"	0.209625
"Andruw Jones"	0.208443
"Jose Hernandez"	0.206875
"Terrence Long"	0.206557
"Marquis Grissom"	0.206492
"Reggie Sanders"	0.199624
"Mark Kotsay"	0.199477
"Rich Becker"	0.199295
"Butch Huskey"	0.199069
"John Mabry"	0.198113
"Dan Wilson"	0.197546
"Walt Weiss"	0.197277
"David Ortiz"	0.196739
"Rondell White"	0.196306
"Ryan Klesko"	0.196136
"Matt Lawton"	0.195787
"Ron Gant"	0.195691
"Carlos Lee"	0.195014
"Jay Buhner"	0.194853
"Carlos Beltran"	0.194576
"Lance Johnson"	0.192904
"Kenny Lofton"	0.192419
"David Bell"	0.191675
"Juan Encarnacion"	0.191325
Vidro	0.191179
"Darren Lewis"	0.190209
"Andy Fox"	0.190098
Lankford	0.18951
"Roger Cedeno"	0.189119
"Preston Wilson"	0.189059
"Joe McEwing"	0.188569
"Glenallen Hill"	0.186835
"Mark Loretta"	0.186474
"John Vander Wal"	0.186287
"Jay Payton"	0.184446
"Bret Boone"	0.183544
"Darryl Hamilton"	0.182837
"Chad Curtis"	0.182677
"Ricky Ledee"	0.182121
"Stan Javier"	0.182036
"Keith Lockhart"	0.18198
"Deivi Cruz"	0.18064
"Russ Johnson"	0.180296
"Bill Spiers"	0.179777
"Brian Jordan"	0.179156
"Bobby Abreu"	0.178577
"Luis Polonia"	0.178007
"Desi Relaford"	0.177307
"Ray Lankford"	0.177274
"Orlando Palmeiro"	0.176948
"Danny Bautista"	0.1769
"Phil Nevin"	0.176839
"Ron Coomer"	0.176687
"Lenny Harris"	0.176432
"Melvin Mora"	0.175679
"Paul Konerko"	0.175572
"Jeff Conine"	0.175409
"Tony Womack"	0.175245
"Raul Ibanez"	0.175232
"J.T Snow"	0.174688
"Henry Rodriguez"	0.174637
"Warren Morris"	0.173768
"Randy Velarde"	0.172557
"Mike Cameron"	0.172311
"Al Martin"	0.172287
"Brian Giles"	0.172099
"Richard Hidalgo"	0.171937
"Dean Palmer"	0.171766
"Tony Graffanino"	0.171715
"Benny Agbayani"	0.171251
"Bernard Gilkey"	0.17102
"Dave Hansen"	0.170928
"Fernando Vina"	0.170861
"Jeffrey Hammonds"	0.170723
"Darin Erstad"	0.170371
"Damian Miller"	0.170015
"Kevin Young"	0.169547
"Todd Hollandsworth"	0.169393
"Quilvio Veras"	0.169303
"Brady Anderson"	0.167749
"Shannon Stewart"	0.167609
"Derrek Lee"	0.167569
"Richie Sexson"	0.167494
"Quinton McCracken"	0.167469
"Shawn Green"	0.16744
"Eric Karros"	0.167431
"Vladimir Guerrero"	0.167244
"Damian Jackson"	0.167184
"Russ Davis"	0.166735
"Matt Luke"	0.166095
"Rob Ducey"	0.165621
"Scott Spiezio"	0.165076
"Eddie Perez"	0.164898
"Lance Berkman"	0.164859
"Jason Giambi"	0.164234
Renteria	0.164132
"Dante Bichette"	0.163563
"Will Clark"	0.163552
"Devon White"	0.163454
"Rusty Greer"	0.163419
"Wally Joyner"	0.163207
"Neifi Perez"	0.163078
"Trot Nixon"	0.162893
"Luis Gonzalez"	0.162307
"Bubba Trammell"	0.162172
"Cliff Floyd"	0.161644
"Sean Casey"	0.160877
Fullmer	0.160774
"Dmitri Young"	0.160438
"Matt Mieske"	0.160342
"David Segui"	0.160289
Rolen	0.16027
"Rico Brogna"	0.159913
"Trenidad Hubbard"	0.159873
"Mike Sweeney"	0.159779
"Gregg Jefferies"	0.159215
"Jose Valentin"	0.158878
"Shawon Dunston"	0.158845
"Matt Franco"	0.157405
"Paul Bako"	0.156869
"Fred McGriff"	0.156716
"Rich Aurilia"	0.156684
"Todd Helton"	0.155817
Surhoff	0.155684
"Steve Finley"	0.155211
"Eric Young"	0.155191
"Joe Randa"	0.154931
"Javy Lopez"	0.154897
"Todd Walker"	0.154307
"Brant Brown"	0.153503
"Brad Ausmus"	0.153216
"Jose Guillen"	0.152588
"Rickey Henderson"	0.152465
Burnitz	0.151788
"Kelly Stinnett"	0.151616
"Gary Sheffield"	0.151571
Cirillo	0.151187
"Craig Counsell"	0.150574
Bordick	0.150302
"Luis Castillo"	0.150264
"Mickey Morandini"	0.150193
"Royce Clayton"	0.149846
"Jim Thome"	0.149719
"Mike Stanley"	0.149432
"Mark Grace"	0.149325
"Matt Stairs"	0.14894
"Eddie Taubensee"	0.148307
Sexson	0.147881
"Damon Buford"	0.147606
"Bill Mueller"	0.147446
"David Dellucci"	0.147086
"Brian McRae"	0.14661
"Miguel Cairo"	0.146201
"B.J Surhoff"	0.146118
"Jeff Bagwell"	0.146063
"Kevin Stocker"	0.146012
Velarde	0.145582
"Edgar Martinez"	0.145552
"Travis Fryman"	0.145222
"Tim Salmon"	0.145218
"Jeff Cirillo"	0.145145
Karros	0.145021
"Scott Rolen"	0.144613
"Tim Bogar"	0.144425
"Mike Lieberthal"	0.144297
"Shane Spencer"	0.143919
"Carlos Delgado"	0.143691
"Karim Garcia"	0.143607
"Gabe Kapler"	0.143431
DeShields	0.14325
"Herbert Perry"	0.143108
"Adrian Beltre"	0.142707
"Travis Lee"	0.142094
"John Olerud"	0.141347
Aurilia	0.140684
Higginson	0.140444
"Ken Caminiti"	0.140355
"Tony Phillips"	0.139645
"Greg Colbrunn"	0.139527
"Mark Grudzielanek"	0.139454
Olerud	0.139114
"Alex Cora"	0.139042
Veras	0.138975
"Todd Pratt"	0.138745
"Pat Burrell"	0.13856
"Dave Martinez"	0.138296
"Daryle Ward"	0.137993
"Darren Bragg"	0.137725
"Greg Vaughn"	0.137367
"Tony Clark"	0.137331
Erstad	0.137317
"Eric Chavez"	0.137198
"Jose Offerman"	0.136852
"Rafael Palmeiro"	0.136577
"Charlie Hayes"	0.136527
"Adam Kennedy"	0.136504
Bichette	0.135799
"Ben Grieve"	0.135602
"Craig Biggio"	0.135511
Ordonez	0.135278
"Jeremy Giambi"	0.134662
"Edgardo Alfonzo"	0.134259
"Einar Diaz"	0.134205
Segui	0.134191
"Derek Bell"	0.134187
"Chris Widger"	0.134104
"Troy Glaus"	0.133555
Alomar	0.133382
"Mark McLemore"	0.133133
"Jason Varitek"	0.133119
"Ellis Burks"	0.133089
Alicea	0.133082
"Luis Alicea"	0.133075
"Andres Galarraga"	0.132857
"Mike Lamb"	0.132813
"Tony Batista"	0.132733
"Alex Gonzalez"	0.132283
"Jay Bell"	0.132123
"Moises Alou"	0.132009
Glanville	0.131901
"Jason McDonald"	0.131776
"Todd Hundley"	0.131687
"Vinny Castilla"	0.13168
"Peter Bergeron"	0.131517
"Tony Eusebio"	0.131487
Zeile	0.131299
"Jon Nunnally"	0.130938
"Tino Martinez"	0.130818
"Roberto Alomar"	0.130631
"Carl Everett"	0.130529
Abreu	0.130353
"Alex Rodriguez"	0.129468
Offerman	0.12944
Valentin	0.129394
"Benji Gil"	0.129305
"Barry Bonds"	0.129216
"Edgar Renteria"	0.129185
"Matt Williams"	0.12914
grieve	0.129038
Batista	0.129025
"Omar Vizquel"	0.128496
"Chuck Knoblauch"	0.128283
"GERONIMO BERROA"	0.1277
"Manny Alexander"	0.127653
Beltre	0.127521
"Kevin Jordan"	0.127265
"Roberto Kelly"	0.127232
Glaus	0.127108
"Garret Anderson"	0.126944
"Wil Cordero"	0.126651
"Ray Durham"	0.126596
"Miguel Tejada"	0.126274
"Manny Ramirez"	0.126028
Fryman	0.125826
"Tom Lampkin"	0.125724
Delgado	0.125711
"Pat Meares"	0.125247
"Jose Vizcaino"	0.124988
"Chipper Jones"	0.124906
"CARLOS HERNANDEZ"	0.12489
"Robin Ventura"	0.124823
"Greg Myers"	0.124799
"Erubiel Durazo"	0.124438
Alfonzo	0.124406
Galarraga	0.124156
"Mike Bordick"	0.12403
"Todd Zeile"	0.123872
"Jim Edmonds"	0.1236
Guillen	0.123557
"J.D Drew"	0.122875
"Midre Cummings"	0.122661
"Scott Brosius"	0.122605
"Paul O'Neill"	0.121997
"Cristian Guzman"	0.121958
"Jim Leyritz"	0.121909
"Raul Mondesi"	0.121892
"Marty Cordova"	0.121809
"Brian Daubach"	0.121604
"Delino DeShields"	0.121204
"Michael Tucker"	0.120803
Randa	0.120645
"Ricky Gutierrez"	0.120452
Klesko	0.120156
McGriff	0.11984
"Frank Thomas"	0.118966
Tatis	0.118908
"Troy O'Leary"	0.118844
Cabrera	0.118544
Elster	0.118505
"Mike Lansing"	0.118019
"Chris Gomez"	0.117856
Vizquel	0.117264
Merloni	0.117036
"Brad Fullmer"	0.116882
Catalanotto	0.116825
Kapler	0.116318
"Lee Stevens"	0.116095
"John Valentin"	0.116009
Nevin	0.115631
"Jeromy Burnitz"	0.115621
"Joey Cora"	0.115508
"Barry Larkin"	0.115488
"Jeff Kent"	0.114797
Bagwell	0.11463
"Mike Benjamin"	0.114406
Spiers	0.113958
"Ed Sprague"	0.113659
"Jermaine Dye"	0.113649
Agbayani	0.113626
"Reggie Jefferson"	0.113574
"Randall Simon"	0.11319
"Bernie Williams"	0.112503
"Enrique Wilson"	0.111749
Garciaparra	0.1117
Javier	0.111616
Giambi	0.111606
"Albert Belle"	0.111192
"Aaron Boone"	0.111029
"Pokey Reese"	0.110885
Womack	0.110742
"Rey Ordonez"	0.110663
"Matt Walbeck"	0.110079
"Kirk Gibson"	0.109645
"Bobby Bonilla"	0.109629
Hatteberg	0.109388
"Rey Sanchez"	0.10919
"Jose Vidro"	0.109171
"Craig Paquette"	0.109154
"Derek Jeter"	0.108655
"Clay Bellinger"	0.108288
"Jorge Posada"	0.108042
Hollins	0.107927
Palmeiro	0.107914
"Brent Mayne"	0.107844
Furcal	0.107551
Beltran	0.107344
Dunston	0.106931
McLemore	0.10662
"Harold Baines"	0.106533
Stinnett	0.105488
"Charles Johnson"	0.105125
Burks	0.105063
Thome	0.104922
Lofton	0.104711
"Jose Cruz Jr."	0.104539
"Bengie Molina"	0.104157
"Kevin Elster"	0.103733
Frye	0.103572
Varitek	0.103521
Knoblauch	0.103484
"Tony Gwynn"	0.103425
Lieberthal	0.102816
Tejada	0.102684
Helton	0.102657
Grudzielanek	0.102352
"Nomar Garciaparra"	0.102093
"Bill Buckner"	0.101826
"Joe Carter"	0.101595
"Rafael Furcal"	0.101353
Brosius	0.101034
"Tim Raines"	0.100785
Jeter	0.100297
Biggio	0.100273
Leyritz	0.100028
))
("Brian Johnson" (desc 1906.85) (sims
"Aaron Boone"	0.231949
"Eddie Taubensee"	0.223177
"Dmitri Young"	0.210618
"Brent Mayne"	0.200428
"Damian Miller"	0.19799
"Sean Casey"	0.186589
"Bobby Estalella"	0.182146
"Tony Eusebio"	0.174025
"Chris Widger"	0.172309
"Pokey Reese"	0.171004
Rolen	0.167699
"Kelly Stinnett"	0.16765
"Rich Aurilia"	0.167022
Vidro	0.166839
"J.T Snow"	0.165995
Lankford	0.162134
"Phil Nevin"	0.158853
"Mike Lieberthal"	0.157618
"Charlie Hayes"	0.157285
"Mike Cameron"	0.15662
"Mark Loretta"	0.152992
"Paul Bako"	0.152059
"Matt Lawton"	0.151919
Fullmer	0.146648
"Barry Larkin"	0.145715
"Carlos Beltran"	0.144014
"Einar Diaz"	0.143205
"Rey Sanchez"	0.141115
"Bill Mueller"	0.139951
"Michael Tucker"	0.1378
"Jeff Kent"	0.136942
"Dean Palmer"	0.136513
"Mark Kotsay"	0.135966
"Bengie Molina"	0.13572
"Scott Spiezio"	0.134772
"Derrek Lee"	0.134229
Abreu	0.133354
"Luis Polonia"	0.133293
"Geoff Jenkins"	0.132946
"Damian Jackson"	0.132896
"Carlos Lee"	0.132728
"Gregg Zaun"	0.132272
"Todd Pratt"	0.131037
"Jeffrey Hammonds"	0.129473
"Marvin Benard"	0.128199
"Ellis Burks"	0.127545
"Mike Sweeney"	0.126434
"Preston Wilson"	0.124964
"Dan Wilson"	0.124889
"Ricky Gutierrez"	0.124196
Aurilia	0.123933
"Johnny Damon"	0.123538
Tatis	0.123304
"Jeff Conine"	0.123119
Giambi	0.122408
"Jason Kendall"	0.122119
"Chad Kreuter"	0.121828
"Jermaine Dye"	0.121779
"Jose Vidro"	0.121304
"Travis Lee"	0.120435
"Stan Javier"	0.120054
"Tony Batista"	0.119731
"Tom Lampkin"	0.117635
"Mitch Meluskey"	0.116385
"Scott Rolen"	0.115247
"Willie Greene"	0.115163
"Tony Clark"	0.115014
"Ray Durham"	0.114329
"Bobby Higginson"	0.113853
"Bubba Trammell"	0.113432
"Sandy Alomar"	0.112782
"Jason Varitek"	0.112576
"Alex Gonzalez"	0.112237
"Scott Hatteberg"	0.111912
"Reggie Sanders"	0.111855
"Juan Encarnacion"	0.111734
"David Ortiz"	0.111604
"Richard Hidalgo"	0.111401
"Will Clark"	0.110522
"Harold Baines"	0.110114
"Tyler Houston"	0.110022
"Ed Sprague"	0.109537
"Paul Konerko"	0.109122
"Henry Rodriguez"	0.109021
Higginson	0.108981
"Tim Bogar"	0.108901
Cirillo	0.108876
"Luis Gonzalez"	0.108299
Burnitz	0.108108
Lieberthal	0.107697
"Jorge Fabregas"	0.107663
"Warren Morris"	0.107584
Konerko	0.107463
"Brook Fordyce"	0.106535
Sexson	0.105838
Taubensee	0.105613
"CARLOS HERNANDEZ"	0.105491
Randa	0.10524
"Danny Bautista"	0.105053
"Travis Fryman"	0.104884
"Joe Girardi"	0.104871
"Paul LoDuca"	0.104773
"Brady Anderson"	0.104576
"Cristian Guzman"	0.104565
"Eric Chavez"	0.10451
"Ben Grieve"	0.104348
"Wally Joyner"	0.104327
"Cliff Floyd"	0.104019
"Vladimir Guerrero"	0.10376
"Bobby Abreu"	0.103685
"Damion Easley"	0.103682
"Matt Stairs"	0.10344
"Rondell White"	0.103314
Nevin	0.102835
Renteria	0.102701
"Ivan Rodriguez"	0.10236
"Pat Burrell"	0.102072
"Eddie Perez"	0.10181
"Jose Guillen"	0.101516
"Ruben Rivera"	0.101504
"Miguel Tejada"	0.101427
"Neifi Perez"	0.101403
Hollins	0.100763
"Dante Bichette"	0.100564
Saenz	0.100142
"Jose Valentin"	0.0996936
"John Vander Wal"	0.0991508
"Jim Leyritz"	0.0991154
"Matt Franco"	0.0987622
"David Bell"	0.0985179
Larkin	0.09807
"John Mabry"	0.0978975
"Deivi Cruz"	0.0975866
"Rusty Greer"	0.09757
Bordick	0.0975518
"Brad Ausmus"	0.0975046
"Jim Thome"	0.0974545
"Melvin Mora"	0.0972866
"Sean Berry"	0.0967858
"Greg Colbrunn"	0.0967518
Tejada	0.0962223
Bichette	0.0959929
"Fred McGriff"	0.0956911
"Greg Vaughn"	0.0956742
"Dave Hansen"	0.0956543
"Javy Lopez"	0.0954496
"Ryan Klesko"	0.0954243
"Jeromy Burnitz"	0.0948816
"Eric Owens"	0.0947116
Batista	0.0942578
"Troy Glaus"	0.0941281
"Lance Berkman"	0.0940064
Biggio	0.0936291
"Todd Greene"	0.093192
"B.J Surhoff"	0.0930455
"Angel Pena"	0.0927959
Bergeron	0.0925979
"Randy Velarde"	0.0923501
Sojo	0.0918248
"Darrin Fletcher"	0.0917552
"Adam Kennedy"	0.09171
"Derek Bell"	0.0915894
"Craig Counsell"	0.0914121
"Kevin Jordan"	0.0910623
"Joe Randa"	0.0910088
"Joe McEwing"	0.0908508
"Todd Helton"	0.0906315
"Rico Brogna"	0.0902254
Easley	0.0900819
"Bill Haselman"	0.0896825
"Omar Vizquel"	0.0896411
"Matt Walbeck"	0.0896035
"Jose Hernandez"	0.0893402
"Rickey Henderson"	0.0893238
"Jay Buhner"	0.0892216
"Todd Hundley"	0.0892034
Erstad	0.0889801
"Marquis Grissom"	0.0889095
"Jorge Posada"	0.0888857
"Kevin Young"	0.0886361
"Tim Salmon"	0.0886116
"Gerald Williams"	0.0885518
Dunston	0.0884235
Varitek	0.0881306
"Corey Koskie"	0.0880104
Elster	0.0879756
"Jeff Cirillo"	0.0876663
"Barry Bonds"	0.0872705
"Edgardo Alfonzo"	0.0871204
"Mark Grace"	0.0866454
"Benny Agbayani"	0.0866309
"Matt Williams"	0.0862669
Alomar	0.0859011
Alicea	0.0858318
DeShields	0.0857579
"Luis Alicea"	0.0856083
"Charles Johnson"	0.0855493
McGriff	0.0853796
"Lee Stevens"	0.0852548
"Darren Bragg"	0.0850489
))
("Brian Jones" (desc 1481.54) (sims
"Steve Fossett"	0.101954
balloonist	0.0956108
"Bertrand Piccard"	0.0818613
musicologist	0.0762096
"Rod Carew"	0.0730434
"Richard Branson"	0.0728801
"Ted Hughes"	0.06517
"Richard Burns"	0.0643022
"Jesse Owens"	0.0638742
"Tyler Hamilton"	0.0613037
"David Wesley"	0.0588303
"Ron Burkle"	0.0579213
psychoanalyst	0.0574251
"Marco Polo"	0.0568883
pharmacologist	0.0566725
"Don Baylor"	0.0558049
"Chris Boardman"	0.0546032
"Craig Parry"	0.0533262
nobleman	0.0529372
circumnavigation	0.0527246
"Doug Walker"	0.0515506
"Oksana Kazakova"	0.0514289
Warne	0.0507834
"Charles Lindbergh"	0.050606
"Carlos Santana"	0.0505023
"common law"	0.0501116
"Dara Torres"	0.0497291
MACHIAVELLI	0.0496954
"Michael Portillo"	0.0491381
"Mario Stanic"	0.0488673
"David Irving"	0.0481542
"Claudia Pechstein"	0.0476339
"Eddie Irvine"	0.0476322
"Francis Bacon"	0.047257
"CHARLES SCHULZ"	0.0471584
coastguard	0.0464203
"Amelia Earhart"	0.0463907
"James McDougal"	0.0463651
"Matt Groening"	0.0446502
"Jon Drummond"	0.0446284
Lindner	0.0443842
"Tom Jones"	0.0442242
"sea captain"	0.0440202
"Guo Jingjing"	0.0439708
"army engineer"	0.0439373
"Derrick Thomas"	0.043822
co-pilot	0.0436984
"Christian Fittipaldi"	0.0435236
gentry	0.0433658
"stage director"	0.0430532
"Li Na"	0.0430519
"Dexter Coakley"	0.0427432
psychotherapist	0.0427044
infantrymen	0.0426643
"George Robertson"	0.0425455
barrister	0.0425166
Boldon	0.0420228
"Eric Clapton"	0.0419519
paratroops	0.0417504
"Stan Lee"	0.0415268
"Ivan Zamorano"	0.0414499
"Home Secretary"	0.0414395
"Chris Claiborne"	0.041294
"John Smith"	0.0412719
"Colin McRae"	0.0412239
"Daryl Johnston"	0.0409893
"Shannon MacMillan"	0.0408083
overlord	0.0407702
"Michael Redd"	0.0407162
"Hu Weidong"	0.0406101
"Herb Williams"	0.0402652
"Gary Hall Jr."	0.0402413
"Heinz-Harald Frentzen"	0.0401244
))
("Brian Jordan" (desc 11053.7) (sims
"Gerald Williams"	0.311207
"Chipper Jones"	0.298808
"Andruw Jones"	0.293576
"Javy Lopez"	0.271785
"Ryan Klesko"	0.248324
"Andres Galarraga"	0.247998
"Bret Boone"	0.228789
"Walt Weiss"	0.226715
"Ozzie Guillen"	0.212125
"Keith Lockhart"	0.212086
"Bernie Williams"	0.210921
"B.J Surhoff"	0.204084
"Eddie Perez"	0.199636
"Otis Nixon"	0.197642
"Quilvio Veras"	0.195446
"Ray Lankford"	0.193776
"Michael Tucker"	0.193574
"Tim Salmon"	0.191249
"Greg Vaughn"	0.189551
"Jose Hernandez"	0.188396
"Paul O'Neill"	0.187872
"Scott Brosius"	0.186969
"Eric Owens"	0.185304
"Dante Bichette"	0.185162
"Ron Gant"	0.182704
"Derek Bell"	0.182524
"Danny Bautista"	0.18128
"Rafael Palmeiro"	0.181165
"Steve Finley"	0.180975
"Garret Anderson"	0.180849
"Troy Glaus"	0.179785
"Reggie Sanders"	0.179362
"Brian Hunter"	0.179156
"Edgardo Alfonzo"	0.17555
"Matt Stairs"	0.175236
"Matt Lawton"	0.175101
"Eric Karros"	0.173988
"Darin Erstad"	0.173418
"Vladimir Guerrero"	0.173232
"Bruce Aven"	0.172935
"Jeff Bagwell"	0.171762
"Gary Sheffield"	0.171744
"Phil Nevin"	0.1714
"Manny Ramirez"	0.170942
"Bobby Abreu"	0.170254
"Marvin Benard"	0.170182
"Trot Nixon"	0.170134
"Ken Caminiti"	0.169449
"Juan Gonzalez"	0.1686
"Scott Rolen"	0.168417
"Chad Curtis"	0.167472
Karros	0.165682
Olerud	0.164968
"Matt Williams"	0.16387
"Raul Mondesi"	0.162765
"Jay Bell"	0.161926
"Bobby Higginson"	0.161283
"John Olerud"	0.160706
"Jim Thome"	0.160618
Alfonzo	0.16014
"Wally Joyner"	0.160048
"Shawn Green"	0.15978
"Darren Lewis"	0.158843
"Jim Edmonds"	0.158762
"Luis Gonzalez"	0.158729
"Mike Cameron"	0.158287
"Paul Konerko"	0.157904
"Mark Kotsay"	0.157802
"Moises Alou"	0.157619
Rolen	0.157
Palmeiro	0.156087
"Devon White"	0.155767
"Jose Offerman"	0.155511
"Tino Martinez"	0.155464
"Damian Miller"	0.154841
"Todd Zeile"	0.154835
"Dmitri Young"	0.154225
"Mo Vaughn"	0.153995
"Brian Giles"	0.153269
"Ruben Rivera"	0.153001
"Chuck Knoblauch"	0.152835
Galarraga	0.152763
"Geoff Jenkins"	0.15262
"Kenny Lofton"	0.152249
"Quinton McCracken"	0.150208
"Nomar Garciaparra"	0.150109
"Travis Lee"	0.148549
"Robin Ventura"	0.148471
"Preston Wilson"	0.148387
"Desi Relaford"	0.148355
"Rusty Greer"	0.14768
"Adrian Beltre"	0.147665
"Tony Gwynn"	0.147245
"Brady Anderson"	0.147224
"Albert Belle"	0.147154
"John Vander Wal"	0.146935
"Jeff Conine"	0.146854
"Dave Martinez"	0.146512
"Rondell White"	0.146213
"Doug Glanville"	0.145897
"Todd Helton"	0.145538
"Benny Agbayani"	0.145473
Cirillo	0.144903
"Jose Guillen"	0.144755
"Mike Piazza"	0.144753
"Marquis Grissom"	0.144634
"Carlos Beltran"	0.143943
"Roger Cedeno"	0.143812
"Rickey Henderson"	0.143253
"John Valentin"	0.142928
Surhoff	0.142009
"Mike Bordick"	0.140734
"Alex Rodriguez"	0.140452
"Will Clark"	0.140215
"Carl Everett"	0.140064
"Barry Bonds"	0.139661
"Larry Walker"	0.139613
"Derek Jeter"	0.139425
"Jay Buhner"	0.139281
"Mark Loretta"	0.138911
"Tony Womack"	0.138814
"Fred McGriff"	0.138633
"Mark Grudzielanek"	0.13856
Klesko	0.138478
"Johnny Damon"	0.138214
Glaus	0.138116
"Jermaine Dye"	0.137956
"Butch Huskey"	0.137812
"Dean Palmer"	0.137726
"Ron Coomer"	0.137604
"Jason Giambi"	0.1376
"Brant Brown"	0.137504
"Todd Hundley"	0.137139
"Terrence Long"	0.137077
"J.D Drew"	0.136744
Valentin	0.136665
"Jeffrey Hammonds"	0.136459
"Henry Rodriguez"	0.136224
"Richard Hidalgo"	0.136085
"Lee Stevens"	0.13583
"Stan Javier"	0.135709
"Ellis Burks"	0.134966
"Jorge Posada"	0.134234
"Deivi Cruz"	0.134051
Vidro	0.133841
Giambi	0.133572
"Al Martin"	0.133567
"Darren Bragg"	0.133559
"Peter Bergeron"	0.133553
"Damian Jackson"	0.133169
"Troy O'Leary"	0.132764
"Orlando Palmeiro"	0.132541
"Carlos Lee"	0.13245
"Mike Sweeney"	0.131986
"Ben Grieve"	0.131808
Bordick	0.131542
"Bobby Bonilla"	0.131202
"Jim Leyritz"	0.131022
"Edgar Martinez"	0.130955
"John Smoltz"	0.130801
"Fernando Tatis"	0.130737
Erstad	0.13003
Guillen	0.129904
"Warren Morris"	0.129894
"Rico Brogna"	0.129672
"Mark Grace"	0.129535
"Tom Glavine"	0.129523
"Tom Goodwin"	0.129463
Lankford	0.129457
"Tony Graffanino"	0.129036
"Jason Varitek"	0.12863
"Roberto Alomar"	0.128553
Mondesi	0.128503
"Mark McLemore"	0.128478
"Magglio Ordonez"	0.128415
"Melvin Mora"	0.12821
"Ray Durham"	0.128202
"Jeff Kent"	0.127425
"Willie Greene"	0.12739
"Frank Thomas"	0.126975
"Rich Aurilia"	0.126216
Bagwell	0.126025
"Bill Spiers"	0.125819
Burnitz	0.125675
"Lance Berkman"	0.125608
"Brian McRae"	0.125228
"Eric Davis"	0.1249
"David Segui"	0.12463
"Fernando Vina"	0.124493
"Tim Bogar"	0.124403
"Jay Payton"	0.124251
"Tony Batista"	0.123842
"Harold Baines"	0.12334
Ordonez	0.123276
"Barry Larkin"	0.122985
"Todd Pratt"	0.122658
"Cliff Floyd"	0.122429
Aurilia	0.122425
"Tony Phillips"	0.122398
"Karim Garcia"	0.122227
Vaughn	0.122073
"John Mabry"	0.122033
"Kelly Stinnett"	0.121591
"David Bell"	0.121307
"Ken Griffey Jr."	0.121107
"Charles Johnson"	0.120989
Higginson	0.120983
"Randall Simon"	0.120879
"Greg Maddux"	0.120749
"Tony Eusebio"	0.120682
Abreu	0.120511
"Craig Biggio"	0.120359
"Darryl Hamilton"	0.120163
"Brian Daubach"	0.119901
"Carlos Delgado"	0.119821
"Royce Clayton"	0.119735
"Juan Encarnacion"	0.119676
"Mike Lieberthal"	0.119406
Piazza	0.119378
"Rich Becker"	0.119336
"Ivan Rodriguez"	0.119329
"Bill Mueller"	0.118975
"Sammy Sosa"	0.118872
"Jeff Cirillo"	0.118769
"Ricky Ledee"	0.118752
"Pat Meares"	0.118485
"Bubba Trammell"	0.118376
"Eric Young"	0.118005
"Vinny Castilla"	0.117761
"Damon Buford"	0.117697
"Kevin Young"	0.117665
Garciaparra	0.117548
"Jeromy Burnitz"	0.117181
"Russ Davis"	0.117146
Brosius	0.116658
"Scott Spiezio"	0.116374
"Jose Canseco"	0.116157
McGriff	0.116143
"Luis Alicea"	0.116019
Jeter	0.116007
"Kirk Gibson"	0.115868
"Neifi Perez"	0.11571
"Glenallen Hill"	0.11543
"Omar Vizquel"	0.115245
grieve	0.115145
"Todd Hollandsworth"	0.115121
Fullmer	0.114883
"Travis Fryman"	0.114759
"Lenny Harris"	0.114722
Agbayani	0.114401
Alou	0.114336
"Paul Bako"	0.114119
"Richie Sexson"	0.113921
"Eddie Taubensee"	0.113905
"Jason McDonald"	0.113665
"Gabe Kapler"	0.113445
Knoblauch	0.113402
"Mickey Morandini"	0.113357
"Adam Kennedy"	0.112889
"David Ortiz"	0.112819
"Rob Ducey"	0.112615
Gant	0.112477
"Lance Johnson"	0.11244
"Joe Randa"	0.112413
"Derrek Lee"	0.112292
"Randy Velarde"	0.112026
Sosa	0.111812
"Greg Myers"	0.111657
"Mike Stanley"	0.111408
"Edgar Renteria"	0.110708
Gonzalez	0.110678
Rodriguez	0.110608
"Damion Easley"	0.110588
"Gregg Jefferies"	0.110508
"Luis Polonia"	0.110417
Zeile	0.110131
Offerman	0.109857
Griffey	0.109623
"Delino DeShields"	0.109615
Boone	0.109508
"Wil Cordero"	0.109284
Segui	0.109175
"F.P Santangelo"	0.109123
"Ricky Gutierrez"	0.109012
"Joe McEwing"	0.108064
"Trenidad Hubbard"	0.107964
"Miguel Cairo"	0.107674
Bichette	0.107643
Renteria	0.107554
Alicea	0.107508
"Roberto Kelly"	0.107458
"Shane Spencer"	0.107426
"J.T Snow"	0.10736
"Matt Franco"	0.107271
"Cal Ripken"	0.107239
"Kerry Ligtenberg"	0.106662
Grudzielanek	0.106602
"Mark McGwire"	0.10641
"Mike Remlinger"	0.106374
"CARLOS HERNANDEZ"	0.106311
"Rey Ordonez"	0.105973
"Bernard Gilkey"	0.10595
"Odalis Perez"	0.105842
Lieberthal	0.105535
"Jason Kendall"	0.104654
Canseco	0.104395
"Jose Vidro"	0.104352
"Shannon Stewart"	0.10427
Glanville	0.104239
"Greg Colbrunn"	0.103895
"Kevin Jordan"	0.103837
"Chris Widger"	0.10378
"Jose Vizcaino"	0.103611
"Rudy Seanez"	0.102471
"Tim Raines"	0.102387
"Kevin Stocker"	0.102301
O'Neill	0.101535
"Jeremy Giambi"	0.101343
"Andy Fox"	0.10122
"Shawon Dunston"	0.101211
"Eric Chavez"	0.101008
Kapler	0.100776
Beltre	0.100699
))
("Brian Lara" (desc 1883.31) (sims
"Carl Hooper"	0.243676
Lara	0.194053
"Curtly Ambrose"	0.18197
Cronje	0.137782
lbw	0.123507
Boucher	0.117535
Kallis	0.103203
"Mike Atherton"	0.097347
"Alec Stewart"	0.0969581
"Ricky Ponting"	0.0936355
"Mark Butcher"	0.0921568
"Mark Waugh"	0.0896486
"Wasim Akram"	0.0862397
"Fan Zhiyi"	0.080763
"Glenn Hoddle"	0.0787181
"Paolo Maldini"	0.0763968
"Steve Waugh"	0.0758236
"Sachin Tendulkar"	0.0749697
Rodionov	0.0723834
"Moin Khan"	0.0715366
Picard	0.0712815
"Nasser Hussain"	0.0711899
Calipari	0.0709963
"Hansie Cronje"	0.0700976
"Frank de Boer"	0.0687546
"Joe Sakic"	0.0683809
"Mats Sundin"	0.0671712
Gullit	0.0666606
"Michael Peca"	0.0661971
Tendulkar	0.065728
Morceli	0.0651949
"Mark Taylor"	0.0641205
"Mark James"	0.0635914
"Keith Tkachuk"	0.0634666
"Zvonimir Boban"	0.0632065
Kerasiotes	0.0619436
"Thomas Dooley"	0.0615629
Grachev	0.0615193
Warshaw	0.0614592
"Stan Collymore"	0.0613241
"Bill Shoemaker"	0.0608363
"Roy Keane"	0.060153
Cha	0.0595321
"Mike Burns"	0.0594576
Gantamirov	0.059041
"Sanath Jayasuriya"	0.0584786
"Eric Lindros"	0.0571865
Gorter	0.0571556
Reichel	0.0569637
underpants	0.0566355
"Scott Stevens"	0.0561123
"Bora Milutinovic"	0.0554529
Primeau	0.0545112
"Jacques Kallis"	0.0544595
"Salim Malik"	0.0541892
Soares	0.0539986
Summitt	0.0539917
"Rob Blake"	0.0538892
"Tony Adams"	0.0537264
"Ernie Grunfeld"	0.0536682
"John Harkes"	0.0534873
"Carla Overbeck"	0.0528409
Esiason	0.0527658
"Stuart MacGill"	0.052716
"Ijaz Ahmed"	0.0526011
"Chris Pronger"	0.0523637
"Billie Jean King"	0.0519182
"El Guerrouj"	0.0517945
Hirst	0.0517733
Ruehe	0.0517688
"Lothar Matthaeus"	0.0515819
"Ben Crenshaw"	0.0512947
"John Calipari"	0.0512825
"Derian Hatcher"	0.0512462
Kirk	0.0512204
"Richard Ashby"	0.0499857
"Sun Wen"	0.0499518
Jansher	0.0496562
Stackhouse	0.0493046
"Johan Cruyff"	0.0491088
Skuratov	0.0490727
Kirsten	0.0486675
"Owen Nolan"	0.0482219
"Didier Deschamps"	0.0479599
Cavallo	0.0479096
Heyns	0.0476367
Ramprakash	0.0475933
"Steve Yzerman"	0.0468799
"Justin Langer"	0.046742
Anelka	0.0466253
Dunlap	0.0465968
Switzer	0.0465055
"Fred Claire"	0.0465006
"Jaromir Jagr"	0.0464689
Lett	0.0463638
Abdur-Rahim	0.0463448
"Julie Foudy"	0.0462182
Marinovich	0.0461858
"Di Canio"	0.0459698
Poplasen	0.0458535
Hartwig	0.0454823
Geiger	0.045473
"John McEnroe"	0.0453348
Asprilla	0.0452188
"Ansumane Mane"	0.0449699
Wannstedt	0.0447526
Dunga	0.0444909
DuBose	0.0444036
Ftorek	0.0443795
Zambrano	0.044185
"Brian Leetch"	0.0441451
"Seve Ballesteros"	0.0440206
Thorpe	0.0439975
"Prabowo Subianto"	0.0439704
Collymore	0.0439071
Westphal	0.0438836
DeBerg	0.0438769
Chubais	0.0438347
"Michael Slater"	0.0436032
Outzen	0.0435683
Bhutto	0.0435667
CORYATT	0.0435661
"John Robinson"	0.0433642
"dock worker"	0.0432629
Dodik	0.0431859
O'Donnell	0.0431445
Caruso	0.0429961
Costner	0.0429424
Chaudhry	0.0429187
Schottenheimer	0.0428873
Villar	0.0427944
Berard	0.0426974
"Chow Yun-Fat"	0.0426928
Zenga	0.0423533
Hoddle	0.0421912
"Mark Messier"	0.0417693
"Diego Maradona"	0.0417015
Moseley-Braun	0.0416974
"Steve Beuerlein"	0.0416452
"David Falk"	0.0415265
Dele	0.0414529
Guei	0.0413416
"Barry Larkin"	0.0411814
Teague	0.0410562
Esposito	0.0409412
"Jason Christiansen"	0.0409163
"P.J Carlesimo"	0.0408597
"Oliver Bierhoff"	0.0407911
Lambert	0.040777
"Mike Barnicle"	0.0407761
Stossel	0.0405758
Hasselbeck	0.0405274
Condit	0.0403593
"welfare worker"	0.0403517
hairstylist	0.0401785
"Van Exel"	0.0401747
Monson	0.0401133
Howe	0.0400954
))
("Brian Laudrup" (desc 2480.33) (sims
"Gianfranco Zola"	0.274303
"Tore Andre Flo"	0.25349
"Gianluca Vialli"	0.193032
"Hao Haidong"	0.175351
"Predrag Mijatovic"	0.159097
"Faustino Asprilla"	0.156252
"Stan Collymore"	0.153283
"David Trezeguet"	0.148694
"Harry Kewell"	0.143329
"Ian Wright"	0.142061
"Fabrizio Ravanelli"	0.140449
"Michael Laudrup"	0.140034
"Juergen Klinsmann"	0.134577
"Enrico Chiesa"	0.133317
"Dejan Stankovic"	0.130227
"Raul Gonzalez"	0.129841
"Cindy Parlow"	0.129612
"Alen Boksic"	0.129583
"Sun Wen"	0.12698
"Alessandro Del Piero"	0.125938
"Ali Daei"	0.125856
"Paolo Di Canio"	0.124894
"Davor Suker"	0.124372
"Nwankwo Kanu"	0.124308
"Khodadad Azizi"	0.124139
"Hristo Stoichkov"	0.123635
"Ante Razov"	0.123137
"Adrian Ilie"	0.122703
Bebeto	0.119047
"Youri Djorkaeff"	0.118067
"Ruud Gullit"	0.116276
"Mario Stanic"	0.115836
"Thierry Henry"	0.114545
"Christophe Dugarry"	0.114467
"Oliver Bierhoff"	0.114201
"Ivan Zamorano"	0.114113
"Ole Gunnar Solskjaer"	0.112731
"George Weah"	0.112658
Edmundo	0.112232
"Nicolas Anelka"	0.111632
"Luis Hernandez"	0.111552
"Ulf Kirsten"	0.111547
"Robbie Fowler"	0.111459
"Hidetoshi Nakata"	0.111327
"Marcelo Salas"	0.111183
"Teddy Sheringham"	0.111108
"Eric Cantona"	0.111063
"Pierluigi Casiraghi"	0.110649
"Dejan Savicevic"	0.110111
"Patrick Kluivert"	0.109674
Suker	0.108673
"Hernan Crespo"	0.108425
"Hu Weidong"	0.106176
"Christian Vieri"	0.106127
"Robert Pires"	0.105993
"Kirk Muller"	0.105189
"Filippo Inzaghi"	0.105106
"Carlos Hermosillo"	0.102937
"Roy Lassiter"	0.102551
"Jorge Campos"	0.102043
Juninho	0.101049
"Eric Wynalda"	0.100972
"Dennis Bergkamp"	0.100235
"Peter Schmeichel"	0.0999043
"Paul Merson"	0.0988273
"Dwight Yorke"	0.0988224
"Stern John"	0.0987414
"Gabriel Batistuta"	0.0987163
"Andy Cole"	0.0986829
"Raul Diaz Arce"	0.0983554
"Paul Scholes"	0.097215
"Claudio Lopez"	0.0970801
"Ralf Schumacher"	0.0969472
"Tiffeny Milbrett"	0.096687
"ZIGMUND PALFFY"	0.0963942
"Robert Prosinecki"	0.0956386
"Blake Sloan"	0.0951186
"Fan Zhiyi"	0.0936882
"Ariel Ortega"	0.0935192
"Emmanuel Petit"	0.0933132
"Tony Amonte"	0.0932576
"Gheorghe Hagi"	0.0927484
"Steve McManaman"	0.0922067
"Jere Lehtinen"	0.0909459
Romario	0.0903633
Piero	0.0900452
"Alan Shearer"	0.0899891
"Joe-Max Moore"	0.0898227
"Ziggy Palffy"	0.0883467
"Todd Harvey"	0.0881494
"Brian McBride"	0.0880506
"Pavol Demitra"	0.0879945
Welton	0.0878709
"Phillip Cocu"	0.0872641
"Ryan Giggs"	0.0871682
"Jumaine Jones"	0.0869189
"Clint Mathis"	0.0868755
"Alexander Mogilny"	0.0866402
Brondby	0.0864044
"Dan Petrescu"	0.0863718
Laudrup	0.0862864
"Mark Williams"	0.0861939
"Roberto Baggio"	0.0847901
Asprilla	0.0838392
"Brenden Morrow"	0.0829306
Alfonso	0.0828668
"Mike Keane"	0.0820591
"Shannon MacMillan"	0.0818392
Vieri	0.0818062
"Didier Deschamps"	0.0812222
"Wendel Clark"	0.0808149
Djorkaeff	0.0805109
"Ronald de Boer"	0.0803765
"Paul Ince"	0.0801156
"Grant Marshall"	0.0795194
Rivaldo	0.0794654
"Del Piero"	0.0791146
"Alexei Yashin"	0.0790173
"Greg Adams"	0.0788099
"Scott Thornton"	0.0786049
Anelka	0.0783148
"Dixon Ward"	0.0782744
"Geoff Sanderson"	0.0778868
"Milan Hejduk"	0.0778518
"Cobi Jones"	0.0776389
"Jamie Langenbrunner"	0.0774363
"Darren McCarty"	0.0773772
Denilson	0.0767322
"Dave Andreychuk"	0.0766972
"Ron Artest"	0.0756732
"Pat Verbeek"	0.0754174
Hendrickson	0.0749249
"Kenny Thomas"	0.0743034
"Michael Owen"	0.0742845
"Shane Doan"	0.0742729
"Jaap Stam"	0.0738341
"Matt Johnson"	0.0730328
"Luis Figo"	0.0724433
Ronaldo	0.0722862
"Alexei Kovalev"	0.0719458
"Keith Tkachuk"	0.0718874
"Camilla Martin"	0.071856
"Steve Thomas"	0.0717515
Patti	0.0717386
"Theo Fleury"	0.0715563
"Chris Porter"	0.0706397
Raoux	0.0706214
"Mike Sullivan"	0.0702956
Mantilla	0.0699475
"Brett Hull"	0.0697021
"Bill Guerin"	0.069665
Scottie	0.0694853
"Teemu Selanne"	0.0694601
"Brad Isbister"	0.0694072
"Grant Long"	0.0691747
"Marcel Desailly"	0.0684332
"Peter Gade Christensen"	0.0683018
"Sinisa Mihajlovic"	0.0681251
"Zinedine Zidane"	0.0679886
"Sergei Fedorov"	0.067876
"Jeremy Roenick"	0.0677948
"Marc Overmars"	0.0676616
"Gabe Muoneke"	0.0676274
Klinsmann	0.0674744
"Mia Hamm"	0.0673605
"Corliss Williamson"	0.067346
"Dennis Scott"	0.0673224
Sissi	0.0670409
"Rick Tocchet"	0.0669315
"Tamika Catchings"	0.0669305
Hagi	0.0667902
Scoonie	0.0667833
"Jaromir Jagr"	0.0667107
"Kenneth Carlsen"	0.0664976
"Adam Deadmarsh"	0.0663416
"Donyell Marshall"	0.0661252
Salas	0.0659203
Cienfuegos	0.065861
"Dave Reid"	0.0658566
"Donald Audette"	0.065732
"Patrick Vieira"	0.0655521
"Peter Forsberg"	0.0651929
"DeLisha Milton"	0.0650637
"Mike Miller"	0.0647748
Andreychuk	0.0644989
Bergkamp	0.0640048
"Dallas Drake"	0.0636142
"Benoit Hogue"	0.0635697
"Sergei Zubov"	0.0635284
"Matthew Barnaby"	0.0635199
"Donald Brashear"	0.0629912
Donato	0.0629385
"Jeff Friesen"	0.0628977
"Nelson Emerson"	0.0624898
"Samaki Walker"	0.0624306
"Wang Tao"	0.0622474
"Pavel Bure"	0.0622119
Savarese	0.0622023
"Sheryl Swoopes"	0.0620807
Hwang	0.0620737
))
("Brian Leetch" (desc 3659.68) (sims
"Adam Graves"	0.268905
"Todd Harvey"	0.236525
"Kevin Stevens"	0.224302
Leetch	0.207998
"John MacLean"	0.204933
"Niklas Sundstrom"	0.182503
"Scott Stevens"	0.169409
"Mathieu Schneider"	0.167376
"Petr Nedved"	0.147871
"Chris Chelios"	0.141081
"Ulf Samuelsson"	0.140279
"Paul Coffey"	0.139302
"Theo Fleury"	0.13834
"Mark Messier"	0.133964
"Ken Daneyko"	0.129421
"Derian Hatcher"	0.1278
"Mike Richter"	0.125575
"Ray Bourque"	0.124271
Samuelsson	0.123916
"Sergei Zubov"	0.12364
"Mark Recchi"	0.11972
"Chris Pronger"	0.117851
"Manny Malhotra"	0.117026
"Larry Murphy"	0.113684
Nedved	0.111991
"Teppo Numminen"	0.1119
"Rob Blake"	0.108623
"Sandis Ozolinsh"	0.107249
"Bryan Berard"	0.106038
"Steve Yzerman"	0.104871
"Al MacInnis"	0.104752
"Kyle McLaren"	0.102986
"Don Sweeney"	0.102304
"Mark James"	0.10178
"Darryl Sydor"	0.0977023
"Steve Duchesne"	0.0976613
"Mattias Norstrom"	0.0967028
"Wayne Gretzky"	0.0958004
"Alexei Zhitnik"	0.0956397
"Hansie Cronje"	0.0941527
"Tim Taylor"	0.0938336
"Sun Wen"	0.0934549
"Juergen Klinsmann"	0.0920213
"Paolo Maldini"	0.091829
"Scott Niedermayer"	0.0915007
"Garry Galley"	0.0907487
"Vladimir Malakhov"	0.0904908
"Fan Zhiyi"	0.0896476
"Lyle Odelein"	0.088515
Sundin	0.0868191
"Roy Keane"	0.0859121
"Aki Berg"	0.0857919
Hlavac	0.0852506
"Joe Sakic"	0.084509
"Thomas Dooley"	0.0843008
Yzerman	0.0840818
"John LeClair"	0.0839131
"Mats Sundin"	0.0827364
"Peter Forsberg"	0.0825627
"Jaromir Jagr"	0.0824123
Dunga	0.0819137
"Richard Matvichuk"	0.0818539
"Oleg Tverdovsky"	0.0814275
"Nicklas Lidstrom"	0.0812537
"Curtis Joseph"	0.0807653
Primeau	0.0807318
"Carla Overbeck"	0.0802075
"Eric Lindros"	0.0800867
Beckenbauer	0.0794499
"Jyrki Lumme"	0.0793353
"Dan Cloutier"	0.0789721
"Craig Ludwig"	0.07866
"Shawn Chambers"	0.0777517
"Dmitri Khristich"	0.0776058
"Wendel Clark"	0.0773322
"John Vanbiesbrouck"	0.0770608
"Doug Gilmour"	0.0766011
"John Harkes"	0.0763555
"Ben Crenshaw"	0.0763183
"Julie Foudy"	0.0762312
"Keith Primeau"	0.0754788
"Darren Van Impe"	0.0745993
"Gordie Howe"	0.0742814
"Oliver Bierhoff"	0.0742183
"Zvonimir Boban"	0.0737764
"Mark Taylor"	0.0734453
Richter	0.0733107
"Doug Bodger"	0.0730647
Robitaille	0.072396
"Michael Peca"	0.0717613
"Marty McSorley"	0.0709777
"Dave Manson"	0.070942
Tkachuk	0.0704266
"Alan Shearer"	0.0700026
LeClair	0.0699368
Jonsson	0.0696351
"Didier Deschamps"	0.0690453
"Alec Stewart"	0.0686682
Messier	0.0685024
"Jaren Jackson"	0.0684271
Kovalev	0.0678789
Fleury	0.0676826
"Sean O'Donnell"	0.0674572
"Maurice Taylor"	0.066391
"Barry Larkin"	0.0662156
"Seve Ballesteros"	0.0659311
Stumpel	0.0657239
"Steve Smith"	0.0656728
Peca	0.065643
"Anson Carter"	0.0650415
"Aeneas Williams"	0.0647464
Artest	0.0645627
Yashin	0.064256
Reichel	0.0640878
"Keith Tkachuk"	0.0635071
"Mike Modano"	0.063036
Selanne	0.0630354
"Tony Adams"	0.06277
Gretzky	0.0626452
"Fredrik Olausson"	0.0625786
Kariya	0.0625768
Chelios	0.0623746
"Luc Robitaille"	0.0622098
"Benoit Hogue"	0.0616275
"Paul Kariya"	0.0614843
"Brett Hull"	0.0613003
Sykora	0.0611459
"Jamie Langenbrunner"	0.0610168
Recchi	0.060945
Sydor	0.0606738
MARBURY	0.0606552
Bourque	0.0604821
Tverdovsky	0.0600549
"Stern John"	0.0598718
"Hal Gill"	0.0598027
"Joe Thornton"	0.0594727
"Pavol Demitra"	0.0594112
MacLean	0.0582039
"Bobby Orr"	0.0581139
"Mario Lemieux"	0.0578884
Duchesne	0.0576524
Vieri	0.0567207
"Geoff Sanderson"	0.0566706
"Dave Andreychuk"	0.056521
"Alan Henderson"	0.0563785
Graves	0.0562987
Picard	0.0562896
"Lothar Matthaeus"	0.0562545
"Carl Hooper"	0.0561967
"Bobby Newcombe"	0.0561688
"Raul Diaz Arce"	0.0557305
"Grant Marshall"	0.0555628
"Glen Murray"	0.0553624
Roenick	0.0553285
"Guy Carbonneau"	0.0551646
"Brian Shaw"	0.0551364
"Damian Rhodes"	0.0547797
Smolinski	0.0544325
"Scott Gomez"	0.054223
"Mike Burns"	0.0540476
"Shannon MacMillan"	0.0537457
"Reggie Lewis"	0.0536628
"P.J Axelsson"	0.05359
"Dale Hunter"	0.0534269
"Rob DiMaio"	0.0534157
Fedorov	0.0531443
"Luis Alicea"	0.0530689
"Grant Hill"	0.0526912
"Keith Jones"	0.052624
"Ziggy Palffy"	0.0526202
"Alexei Kovalev"	0.0525182
Niedermayer	0.0524934
Lindros	0.0523797
"Chris Drury"	0.0523127
"Jayson Williams"	0.0522017
"Kristine Lilly"	0.0521966
"Miroslav Satan"	0.0513816
Samsonov	0.0513109
"Alessandro Del Piero"	0.0511062
"Nick Van Exel"	0.050808
"John McEnroe"	0.0507312
Berard	0.0505566
"Dave Reid"	0.0503394
"Dallas Drake"	0.0503293
Blake	0.0502577
"Sergei Samsonov"	0.0502159
Audette	0.0500656
"Steve McManaman"	0.0499829
"Scott Thornton"	0.0498551
Baerga	0.0496949
Bierhoff	0.0494652
"Arvydas Sabonis"	0.0493954
"Antoine Walker"	0.0493006
Langenbrunner	0.0491734
"Royce Clayton"	0.0490075
Cleaves	0.0485161
"Todd Zeile"	0.0484973
"Cedric Ceballos"	0.0481331
"Leon Johnson"	0.0481223
"Steve Waugh"	0.0478818
))
("Brian McBride" (desc 2622.07) (sims
"Frankie Hejduk"	0.264837
"Cobi Jones"	0.259117
"Tab Ramos"	0.2364
"Claudio Reyna"	0.235179
"Ante Razov"	0.21335
"John Harkes"	0.20832
"Jeff Agoos"	0.200879
"Hao Haidong"	0.200859
"Eddie Lewis"	0.194664
"Stern John"	0.189971
"Eric Wynalda"	0.186603
"Mike Burns"	0.170083
Hejduk	0.169145
"Ben Olsen"	0.168897
"Joe-Max Moore"	0.168643
"Roy Lassiter"	0.159416
Mcbride	0.153243
Welton	0.151545
"Tiffeny Milbrett"	0.143886
"Jarvis Turner"	0.139204
"Ulf Kirsten"	0.139081
"Raul Diaz Arce"	0.137274
"Alen Boksic"	0.136807
"Ian Wright"	0.136529
"Alexei Kovalev"	0.136206
"Carlos Hermosillo"	0.135141
"Luis Hernandez"	0.133524
"Predrag Mijatovic"	0.132596
"Hu Weidong"	0.131157
"Andy Williams"	0.130208
"Cindy Parlow"	0.12976
"Raul Gonzalez"	0.127333
"Gabe Muoneke"	0.126653
"Sun Wen"	0.1266
"Eddie Pope"	0.123017
"Khodadad Azizi"	0.12245
"Shannon MacMillan"	0.122318
"Ivan Zamorano"	0.120046
"Adrian Ilie"	0.118234
"Christophe Dugarry"	0.117928
"David Trezeguet"	0.117572
"Thomas Dooley"	0.11607
"Alexi Lalas"	0.114969
"Richard Jefferson"	0.11421
"Tore Andre Flo"	0.111591
"Robin Fraser"	0.10988
"Brian Scalabrine"	0.109809
"Harry Kewell"	0.109593
Preki	0.109098
"Alan Henderson"	0.108235
"Thierry Henry"	0.107851
"Claudio Lopez"	0.107501
"Grant Long"	0.107081
"Paolo Di Canio"	0.106334
Harkes	0.104625
"Lamond Murray"	0.104139
"Clint Mathis"	0.104095
"Dejan Stankovic"	0.103701
"Kenyon Martin"	0.103547
"Alan Shearer"	0.102789
"Tamika Catchings"	0.101854
"Olli Jokinen"	0.101511
"Kevin Freeman"	0.101416
"Alessandro Del Piero"	0.101124
"Michelle Akers"	0.100746
"Paul Scholes"	0.100412
"Michael Owen"	0.100026
"Hristo Stoichkov"	0.0999258
"Pavol Demitra"	0.0998482
Jair	0.0994573
"Chris Carrawell"	0.0992854
"Faustino Asprilla"	0.0989973
"Kasey Keller"	0.0984554
"Sam Clancy"	0.0980402
"Juergen Klinsmann"	0.0977255
"Donyell Marshall"	0.0977095
"Fabrizio Ravanelli"	0.0976496
"Mark Madsen"	0.0974735
"Marcelo Balboa"	0.0973038
"Patrick Kluivert"	0.0969956
"Michael Wright"	0.096741
"Derrick Coleman"	0.0955573
"Oliver Bierhoff"	0.0953572
"Ali Daei"	0.0947674
"Raef LaFrentz"	0.0932267
"Cliff Ronning"	0.0929922
"Paul Caligiuri"	0.0928876
"Teddy Sheringham"	0.092727
"Jeremy Roenick"	0.0924541
"Dejan Savicevic"	0.0921579
"Mike Sullivan"	0.0919322
"Todd Harvey"	0.0913744
"Chris Drury"	0.091172
"Dennis Bergkamp"	0.0908662
"Kristine Lilly"	0.0904195
"Hernan Crespo"	0.0904056
"Nwankwo Kanu"	0.0897435
"Theo Ratliff"	0.0895054
"Corliss Williamson"	0.0893658
"Gary Roberts"	0.0893132
"Shane Battier"	0.0892577
"Jamal Mashburn"	0.0891314
"Robbie Fowler"	0.0887123
"Peter Forsberg"	0.0883882
"Tyrone Nesby"	0.0883453
"Rodney Rogers"	0.0883168
"Geoff Sanderson"	0.088204
"Brian Laudrup"	0.0880506
"Cedric Ceballos"	0.0878873
"Juwan Howard"	0.0878512
"Mauricio Cienfuegos"	0.087784
"Marcus Fizer"	0.0872249
"Rick Tocchet"	0.0864893
"Bill Guerin"	0.0863888
"Wang Tao"	0.0863329
"P.J Brown"	0.0857458
"Shawn Marion"	0.0854953
"Marcelo Salas"	0.0853283
Romario	0.0852474
Zico	0.0851679
"Mia Hamm"	0.0849557
Suker	0.0839696
"Austin Croshere"	0.0838407
"Brian Skrudland"	0.083688
"Brendan Shanahan"	0.0832228
"Adam Deadmarsh"	0.0831754
Edmundo	0.0831531
"Walt Williams"	0.0830217
"Jerome Moiso"	0.0829928
"Darren McCarty"	0.0826815
"Chris Crawford"	0.082512
"Patrik Stefan"	0.0824229
"Enrico Chiesa"	0.0822772
"Christian Vieri"	0.0822653
"Dwight Yorke"	0.0822297
Savarese	0.0821371
"Owen Nolan"	0.0821266
"Gabriel Batistuta"	0.0820145
"Maurice Taylor"	0.0820095
"Dallas Drake"	0.0820074
"Christian Laettner"	0.0819226
"Joe Sakic"	0.08189
"Ziggy Palffy"	0.0818542
"Dale Davis"	0.0817865
"Keith Van Horn"	0.0814544
"Danny Manning"	0.0813223
"Milan Hejduk"	0.0811183
"Rick Fox"	0.0807736
"Shane Doan"	0.0806902
"Pierluigi Casiraghi"	0.0806199
"Davor Suker"	0.0805411
"Othella Harrington"	0.0803272
"Kenny Thomas"	0.0802819
"John LeClair"	0.0801607
Wynalda	0.0801566
"Morris Peterson"	0.0795176
"Michael Finley"	0.0792827
"Jamie Langenbrunner"	0.0792374
"Aaron Williams"	0.0790016
"Brian Grant"	0.0788897
"Keith Tkachuk"	0.0788104
"Antawn Jamison"	0.0780145
"DeLisha Milton"	0.078014
"Glenn Robinson"	0.0779842
"Jason Kapono"	0.0777308
"Kris Clack"	0.0777004
"Ruben Patterson"	0.0772664
"Bryon Russell"	0.0772549
"Joe Smith"	0.0770422
"Brian Skinner"	0.0767761
"Ole Gunnar Solskjaer"	0.076709
"Clarence Weatherspoon"	0.0766561
"Gianfranco Zola"	0.076405
"Anthony Mason"	0.0763291
"Sean Farnham"	0.0761854
"J.R Reid"	0.076064
"Patrik Elias"	0.0759874
Raul	0.0755986
"Horace Grant"	0.0754112
Batistuta	0.0753295
"Rasheed Wallace"	0.0750923
"Jeff Friesen"	0.0750718
"Doug Gilmour"	0.0749305
"Joe Juneau"	0.07489
"Sheryl Swoopes"	0.0746644
"Tim Thomas"	0.0746402
"Danny Fortson"	0.0745723
"Rashard Lewis"	0.0745009
"SCOTT BURRELL"	0.0744831
"Nicolas Anelka"	0.0743445
"Chris Mills"	0.0741033
"Chris Gatling"	0.0739166
"Etan Thomas"	0.0738558
Bergkamp	0.0735776
"Chris Anstey"	0.0734724
"Jason Allison"	0.0733438
"Travis Knight"	0.0730457
"Jermaine O'Neal"	0.0729919
"Greg Adams"	0.0729712
"Dave Andreychuk"	0.072955
))
("Brian McRae" (desc 3926.44) (sims
"Darryl Hamilton"	0.266706
"Robin Ventura"	0.256986
"Edgardo Alfonzo"	0.244767
"Matt Lawton"	0.229016
"Roger Cedeno"	0.225125
Rolen	0.212885
"John Olerud"	0.209261
"Terrence Long"	0.205608
"Bernard Gilkey"	0.200889
"Luis Lopez"	0.200592
"Rickey Henderson"	0.200209
Alfonzo	0.198152
"Melvin Mora"	0.193979
"Bruce Aven"	0.191039
Agbayani	0.1885
"Rondell White"	0.185621
"Lenny Harris"	0.185557
"Eric Owens"	0.185384
Olerud	0.18391
Vidro	0.181395
"Todd Pratt"	0.179347
"Benny Agbayani"	0.178586
"Raul Mondesi"	0.176273
"Todd Hundley"	0.17407
"Preston Wilson"	0.173952
"Jay Payton"	0.172425
"Jermaine Dye"	0.171853
"John Vander Wal"	0.169511
Fullmer	0.169331
"Matt Franco"	0.168068
"Carlos Baerga"	0.166898
"Brant Brown"	0.164461
"Derek Bell"	0.164171
"Mike Bordick"	0.162983
"Tony Phillips"	0.162513
"Devon White"	0.162407
"Jay Buhner"	0.162216
"Doug Glanville"	0.161961
"Ray Lankford"	0.161769
"Todd Hollandsworth"	0.161602
"Ruben Rivera"	0.161054
"Lance Johnson"	0.160897
"Todd Zeile"	0.16037
"Marvin Benard"	0.160087
McRae	0.159267
"Quinton McCracken"	0.158601
"Shawn Green"	0.15853
Burnitz	0.156999
"Geoff Jenkins"	0.156994
"Rey Ordonez"	0.15685
"Marquis Grissom"	0.154652
"Tony Batista"	0.154617
"Mike Piazza"	0.154448
"Carlos Beltran"	0.153518
"Mike Cameron"	0.153019
"Brian Giles"	0.15266
"Eric Karros"	0.152367
Aurilia	0.152074
"Carlos Lee"	0.150071
Alicea	0.149523
"Kurt Abbott"	0.149043
"Henry Rodriguez"	0.148984
"Trenidad Hubbard"	0.148816
"Ron Gant"	0.148561
"Damian Jackson"	0.148323
Ordonez	0.148072
"Stan Javier"	0.14783
"Richard Hidalgo"	0.147574
"Brian Hunter"	0.14661
Bordick	0.146605
"Cliff Floyd"	0.146324
"Tom Goodwin"	0.146191
"Matt Mieske"	0.146114
"Garret Anderson"	0.146034
Abreu	0.145879
"Damon Buford"	0.144814
"Bobby Abreu"	0.144539
Bautista	0.143932
"David Dellucci"	0.143075
"Deivi Cruz"	0.142627
"Butch Huskey"	0.142596
"Andruw Jones"	0.142384
"Jeffrey Hammonds"	0.142315
"Wally Joyner"	0.141837
"Brady Anderson"	0.141348
"Bobby Higginson"	0.14026
"Edgar Martinez"	0.140167
"Michael Tucker"	0.139935
"John Mabry"	0.139678
"Reggie Sanders"	0.13941
"Charles Johnson"	0.139364
"Gerald Williams"	0.139225
"Russ Johnson"	0.139037
"Jose Cruz Jr."	0.138885
"Dante Bichette"	0.137624
"Bubba Trammell"	0.137188
"Jeff Cirillo"	0.136583
"Juan Encarnacion"	0.136058
"Shannon Stewart"	0.135751
Lankford	0.134777
"Johnny Damon"	0.134752
"Matt Stairs"	0.134525
"Mark Loretta"	0.134445
Randa	0.134369
"Mark Kotsay"	0.134341
"Bill Mueller"	0.13414
"Vladimir Guerrero"	0.134092
"Kenny Lofton"	0.13354
Fryman	0.133512
"Bobby Bonilla"	0.132983
"Herbert Perry"	0.132958
"Gary Sheffield"	0.132848
"J.D Drew"	0.132774
Cirillo	0.132321
Gilkey	0.132077
"Brad Fullmer"	0.131966
"Ron Coomer"	0.130148
Grudzielanek	0.129273
"Al Martin"	0.128384
Hidalgo	0.128292
"Armando Benitez"	0.128185
Hollins	0.127962
"Darren Lewis"	0.12737
"Luis Gonzalez"	0.126804
"Jeromy Burnitz"	0.126518
"Jose Guillen"	0.126184
"Dave Hansen"	0.125692
"Rich Becker"	0.125525
"David Segui"	0.125517
"Bernie Williams"	0.125351
"Brian Jordan"	0.125228
"Roberto Alomar"	0.124568
"Jeff Conine"	0.123947
"Dave Martinez"	0.123911
Glanville	0.123831
"Shawon Dunston"	0.123688
"Sandy Alomar"	0.123326
"Dmitri Young"	0.123324
Sexson	0.123262
"Edgar Renteria"	0.122646
"Paul Konerko"	0.122604
Karros	0.12247
"Richie Sexson"	0.122463
"Steve Finley"	0.121701
"Lance Berkman"	0.121554
"Karim Garcia"	0.121544
Stinnett	0.121248
Mora	0.12106
"Trot Nixon"	0.121012
"Todd Walker"	0.120419
Lieberthal	0.120067
"Carl Everett"	0.11995
Spiers	0.119266
"Roberto Kelly"	0.119195
"Javy Lopez"	0.119177
"David Bell"	0.119026
Glaus	0.118675
"Ken Caminiti"	0.118597
"Ivan Rodriguez"	0.118518
Cedeno	0.118434
"Alex Gonzalez"	0.118145
Konerko	0.118081
"David Ortiz"	0.117986
"Dean Palmer"	0.117811
"Adrian Beltre"	0.117762
"Tim Bogar"	0.117585
"Jose Vidro"	0.117403
"Derrek Lee"	0.117169
"F.P Santangelo"	0.117035
"Eddie Taubensee"	0.117029
Zeile	0.116747
"Chad Curtis"	0.116451
"Joe McEwing"	0.1164
"Chris Widger"	0.116244
"Neifi Perez"	0.11597
"Rusty Greer"	0.115835
"Jim Edmonds"	0.115658
"Kelly Stinnett"	0.115565
"Jay Bell"	0.114788
Womack	0.11478
Tejada	0.114626
"Kevin Young"	0.114475
"Ray Durham"	0.114193
Bagwell	0.114158
"Eric Young"	0.114092
"Wilton Guerrero"	0.114015
"Joe Carter"	0.113923
"Peter Bergeron"	0.11328
Brogna	0.113107
Batista	0.112834
"Scott Rolen"	0.112801
"Jason McDonald"	0.112649
"Damian Miller"	0.112467
"Otis Nixon"	0.112197
"Bill Spiers"	0.111976
"Ryan Klesko"	0.11186
Nevin	0.111823
"Craig Biggio"	0.111821
Veras	0.11176
"Jason Kendall"	0.111611
"Orlando Palmeiro"	0.111267
Castilla	0.111218
"Dennis Cook"	0.111143
"John Franco"	0.111089
"Moises Alou"	0.111012
McLemore	0.110763
"Glenallen Hill"	0.110689
"Mike Lansing"	0.110594
Higginson	0.110503
"Tony Gwynn"	0.110012
"Barry Larkin"	0.109947
"Chad Kreuter"	0.109273
"Luis Alicea"	0.109195
"Tim Salmon"	0.109151
"Mark Grudzielanek"	0.108646
McGriff	0.108375
"Adam Kennedy"	0.108157
Hatteberg	0.108019
"Ben Grieve"	0.107788
"Ellis Burks"	0.107459
"Scott Brosius"	0.107384
Bragg	0.10719
"Randy Velarde"	0.107128
Javier	0.107019
"Danny Bautista"	0.106996
"Darin Erstad"	0.106978
"Fred McGriff"	0.106916
"Paul O'Neill"	0.106901
"Mickey Morandini"	0.106716
Segui	0.106596
"Gabe Kapler"	0.106464
"Jon Nunnally"	0.106384
"Jeff Kent"	0.105952
Tatis	0.105753
"Jose Canseco"	0.104704
"Joe Randa"	0.104662
"Jose Valentin"	0.104175
"Paul Bako"	0.103883
Thome	0.103867
Valentin	0.103785
"Scott Spiezio"	0.103689
"Travis Fryman"	0.103641
Catalanotto	0.103592
"Alex Rodriguez"	0.103556
"Mike Stanley"	0.103534
"Marty Cordova"	0.103327
Delgado	0.103325
"Miguel Tejada"	0.103164
"Warren Morris"	0.102712
"Luis Polonia"	0.102689
Vizquel	0.102674
"Russ Davis"	0.102563
Baerga	0.102262
"Andy Fox"	0.101977
"Matt Williams"	0.101962
"Ruben Mateo"	0.101941
Ledee	0.101868
Piazza	0.101843
"Enrique Wilson"	0.10154
Lofton	0.101369
Beltran	0.101312
Biggio	0.101224
"J.T Snow"	0.101177
Palmeiro	0.101159
"Manny Ramirez"	0.100622
"Carlos Delgado"	0.100435
"Lee Stevens"	0.100414
"Jeff Bagwell"	0.100193
"Ricky Gutierrez"	0.100113
"Gregg Jefferies"	0.100107
))
("BRIAN MEADOWS" (desc 957.148) (sims
"Jesus Sanchez"	0.396053
"Brian Moehler"	0.327769
"Russ Ortiz"	0.326954
"Woody Williams"	0.326135
"Chris Carpenter"	0.321605
"Gil Heredia"	0.30938
"Jeff Weaver"	0.295665
"Ryan Dempster"	0.293555
"Mike Sirotka"	0.275606
"Javier Vazquez"	0.272007
"John Snyder"	0.269965
"Eric Milton"	0.264576
"Dustin Hermanson"	0.263872
"Jim Parque"	0.260828
"Jon Lieber"	0.256049
"Livan Hernandez"	0.252123
"Brad Penny"	0.250851
"Jamey Wright"	0.249911
"Bryce Florie"	0.24707
"Jason Schmidt"	0.246254
"Brian Rose"	0.246233
"Mark Gardner"	0.244522
"Steve Parris"	0.238638
"Francisco Cordova"	0.23735
"Dan Miceli"	0.235515
"Pedro Astacio"	0.230103
"Tim Hudson"	0.227934
"Carl Pavano"	0.225088
"Joey Hamilton"	0.225042
"STEVE WOODARD"	0.224569
"Alex Fernandez"	0.222377
"Jose Jimenez"	0.219884
"Paul Abbott"	0.216334
"Ken Cloude"	0.216022
"Tom Candiotti"	0.215417
"Shawn Estes"	0.214503
"Sterling Hitchcock"	0.214155
"Kirk Rueter"	0.213907
"Armando Reynoso"	0.213027
"Shane Reynolds"	0.21186
"Mac Suzuki"	0.210944
"Jason Bere"	0.210676
"Sidney Ponson"	0.210344
"Dave Mlicki"	0.209864
"John Halama"	0.20915
"Brad Radke"	0.207816
"John Burkett"	0.206501
"Pat Rapp"	0.202136
"Vladimir Nunez"	0.199083
"Brian Anderson"	0.19887
"Ramon Ortiz"	0.194555
"Kevin Appier"	0.193518
"Dave Burba"	0.193158
"Steve Sparks"	0.192191
"Gil Meche"	0.189133
"Pat Hentgen"	0.188691
"Matt Morris"	0.188691
"Tim Belcher"	0.188238
"Kevin Tapani"	0.187476
"Freddy Garcia"	0.185803
"Ron Villone"	0.184357
"Scott Erickson"	0.184156
"Mark Langston"	0.183986
"Andy Ashby"	0.183933
D'Amico	0.183777
"Pete Harnisch"	0.18353
"Paul Byrd"	0.183109
"Scott Elarton"	0.181849
"Rolando Arrojo"	0.181832
"Jin Ho Cho"	0.181807
Hermanson	0.1812
"Scott Schoeneweis"	0.180763
"Ryan Glynn"	0.180288
"Octavio Dotel"	0.179555
"Brian Bohanon"	0.179109
"Eric Gagne"	0.178549
"Omar Olivares"	0.178389
"Jamie Arnold"	0.177073
"Brett Hinchliffe"	0.176262
"Chris Holt"	0.175747
"Esteban Loaiza"	0.175159
"Terry Mulholland"	0.173212
"Brett Tomko"	0.17171
"Brian Cooper"	0.171527
"Sean Bergman"	0.170746
"Steve Trachsel"	0.170465
"Jaret Wright"	0.170293
"Darryl Kile"	0.170009
"Scott Karl"	0.168387
Astacio	0.16708
"Jamie Moyer"	0.164427
Trachsel	0.163209
Rusch	0.163166
Benes	0.162428
"Rick Reed"	0.160685
"Matt Mantei"	0.160228
"Mark Portugal"	0.160065
"Aaron Sele"	0.158476
"Bill Pulsipher"	0.158384
Lieber	0.157729
"Andy Benes"	0.157535
"Doug Davis"	0.155724
"Bruce Chen"	0.155038
"Darren Dreifort"	0.154669
"Chan Ho Park"	0.154532
"Wilson Alvarez"	0.15392
"Rick White"	0.153295
"Mark Clark"	0.153058
"Charles Nagy"	0.152682
"Bartolo Colon"	0.152212
"Randy Myers"	0.152065
"Omar Daal"	0.15191
"James Baldwin"	0.151899
"Jarrod Washburn"	0.151566
Bere	0.150067
"Steve Avery"	0.150014
"Darren Oliver"	0.14832
Bottenfield	0.148106
"Kent Mercker"	0.147032
"Paul Shuey"	0.146975
"Willie Blair"	0.146796
Hentgen	0.146158
"Kent Bottenfield"	0.145513
"Matt Perisho"	0.145423
"Odalis Perez"	0.145402
"Seth Etherton"	0.145312
"Pete Schourek"	0.143936
"Masato Yoshii"	0.143159
Radke	0.142517
Rueter	0.142104
"Mike Mussina"	0.140821
"Matt Herges"	0.139917
"Scott Williamson"	0.13922
Heredia	0.138895
"Chuck Smith"	0.138854
"Jay Powell"	0.138517
"Shigetoshi Hasegawa"	0.138135
"Mike Morgan"	0.137313
"Kevin Millwood"	0.136895
"Al Levine"	0.136178
"Orel Hershiser"	0.136103
"Tim Wakefield"	0.135991
Checo	0.135691
Candiotti	0.13413
"Trevor Hoffman"	0.134058
Schourek	0.133411
"Ricky Bottalico"	0.133386
Pavano	0.131763
"Donne Wall"	0.131007
"Byung-Hyun Kim"	0.130572
"Justin Thompson"	0.130404
Dempster	0.129899
"Bruce Aven"	0.129375
"Jeff Fassero"	0.129365
"Mike Lowell"	0.129287
"Mike Judd"	0.128783
Burba	0.128063
"Curt Schilling"	0.128016
"Todd Husak"	0.127342
"Bobby Jones"	0.127309
"Jack McDowell"	0.126576
Suppan	0.126576
"Jose Lima"	0.126359
"Bob Wickman"	0.126041
Kile	0.125772
"Juan Guzman"	0.125088
"Orlando Hernandez"	0.123818
"Andy Pettitte"	0.123815
Moehler	0.123751
"Jason Dickson"	0.123619
"Paul Spoljaric"	0.123497
"Ken Hill"	0.122501
"Ramiro Mendoza"	0.121836
"Rick Helling"	0.121136
"Hideo Nomo"	0.121042
"Dwight Gooden"	0.120906
"Chuck Finley"	0.120344
Mahomes	0.120203
Olivares	0.120016
Parris	0.119953
Harnisch	0.119703
Mussina	0.119117
"Al Leiter"	0.118941
Daal	0.118365
"Mark Petkovsek"	0.118222
"Cliff Floyd"	0.117146
"Ramon Martinez"	0.116815
"Bret Saberhagen"	0.116689
"Robb Nen"	0.116585
"Kenny Rogers"	0.116382
"Pedro Borbon"	0.116321
Nagy	0.115755
Sele	0.114702
Loaiza	0.113924
"Rick Aguilera"	0.113784
Helling	0.113356
"Hideki Irabu"	0.112856
"Ismael Valdes"	0.112428
"Doug Henry"	0.112387
Ankiel	0.110747
"Denny Neagle"	0.1103
Reynoso	0.110167
"Kerry Wood"	0.110043
"Antonio Osuna"	0.110031
"Kevin McGlinchy"	0.108594
"Ed Yarnall"	0.10839
Cloude	0.108209
Eldred	0.108201
"Pat Mahomes"	0.10817
Mlicki	0.10708
"Tom Brady"	0.106305
Burkett	0.106301
"Todd Stottlemyre"	0.105743
Rapp	0.105111
Elarton	0.105047
"Luis Castillo"	0.104748
"Mike Hampton"	0.104215
"Danny Graves"	0.104071
"Robinson Checo"	0.10385
Yoshii	0.103723
"John Wasdin"	0.10348
Belcher	0.101179
Remlinger	0.100924
Mantei	0.100862
"Mike Magnante"	0.100585
"Frankie Rodriguez"	0.100382
Petkovsek	0.100319
"Kevin Brown"	0.100255
Schoeneweis	0.100079
))
("Brian Moehler" (desc 1026.49) (sims
"Jeff Weaver"	0.459097
"Jason Schmidt"	0.365983
"Francisco Cordova"	0.358743
"Russ Ortiz"	0.354704
"Bryce Florie"	0.34986
"Jon Lieber"	0.347528
"Woody Williams"	0.337891
"BRIAN MEADOWS"	0.327769
"Chris Carpenter"	0.324428
"Mike Sirotka"	0.320141
"Kirk Rueter"	0.319842
"Mark Gardner"	0.311959
"Dave Mlicki"	0.30952
"Jim Parque"	0.308554
"Gil Heredia"	0.306886
"Pedro Astacio"	0.305009
"Eric Milton"	0.296044
"Steve Parris"	0.294331
"Javier Vazquez"	0.292834
"Dustin Hermanson"	0.289007
"Armando Reynoso"	0.287298
"Sidney Ponson"	0.280098
"Jesus Sanchez"	0.278861
"Jason Bere"	0.27518
"Jamey Wright"	0.274955
"Paul Abbott"	0.271786
"Brad Radke"	0.270331
"Tom Candiotti"	0.268687
"Chris Holt"	0.268429
"Justin Thompson"	0.26388
"Scott Erickson"	0.26019
"John Snyder"	0.259004
"John Burkett"	0.25752
"Todd Jones"	0.257215
"Tim Hudson"	0.256847
"Pat Rapp"	0.256301
"Dave Burba"	0.254812
"Kevin Tapani"	0.253339
"Shawn Estes"	0.252255
"Brett Tomko"	0.251764
"Steve Trachsel"	0.250763
"Sean Bergman"	0.248849
Rueter	0.248575
"Pat Hentgen"	0.248233
"Shane Reynolds"	0.244547
"Jamie Moyer"	0.242662
"Willie Blair"	0.242543
"Brian Anderson"	0.241642
"STEVE WOODARD"	0.241571
"Steve Sparks"	0.240657
"Ken Cloude"	0.236276
"Rolando Arrojo"	0.235949
"Pete Harnisch"	0.23156
"Carl Pavano"	0.230696
"Brian Rose"	0.230643
"Brian Bohanon"	0.229298
"John Halama"	0.225389
Moehler	0.224846
"Bartolo Colon"	0.223764
"Aaron Sele"	0.222214
"Darryl Kile"	0.220918
Trachsel	0.21955
"Scott Elarton"	0.218611
"Paul Byrd"	0.216256
"Kevin Appier"	0.216181
"Matt Morris"	0.216061
Hermanson	0.215695
"Mac Suzuki"	0.215666
Hentgen	0.215638
"Chan Ho Park"	0.211245
"Jaret Wright"	0.211139
"Joey Hamilton"	0.209549
"Mike Morgan"	0.20846
"Omar Olivares"	0.208307
"Scott Karl"	0.205289
"Charles Nagy"	0.205115
"Jose Jimenez"	0.204945
"Esteban Loaiza"	0.202772
"Tim Belcher"	0.200976
Lieber	0.200636
"Kent Bottenfield"	0.200616
"Rick Reed"	0.200142
"Livan Hernandez"	0.199589
"Mark Clark"	0.199435
Mahomes	0.198876
"Bill Pulsipher"	0.198015
"Brad Penny"	0.197942
"Andy Benes"	0.197935
"Mike Mussina"	0.197237
"Gil Meche"	0.197066
"Terry Mulholland"	0.196503
"Mark Portugal"	0.19375
"Hideo Nomo"	0.19327
Rusch	0.191971
"Darren Dreifort"	0.191755
"Omar Daal"	0.191562
"Ron Villone"	0.190644
Benes	0.190471
"Andy Ashby"	0.190159
"Octavio Dotel"	0.189158
"Jose Lima"	0.189085
"Alex Fernandez"	0.188354
"James Baldwin"	0.187385
"Wilson Alvarez"	0.186939
"Masato Yoshii"	0.186728
"Jin Ho Cho"	0.186089
"Ryan Dempster"	0.184942
Bottenfield	0.183969
"Danny Graves"	0.183656
Harnisch	0.183429
"Freddy Garcia"	0.183345
"Brian Cooper"	0.18224
D'Amico	0.182101
"Jeff Fassero"	0.181452
"Jason Dickson"	0.180925
Kile	0.180335
"Scott Schoeneweis"	0.179937
Astacio	0.178972
"Ramon Ortiz"	0.177147
Daal	0.176353
"Kent Mercker"	0.176259
"Tim Wakefield"	0.176083
Tapani	0.17577
Dempster	0.175718
Ankiel	0.174869
Bere	0.174723
"Hideki Irabu"	0.174617
"Mike Hampton"	0.173963
"Darren Oliver"	0.173632
"Juan Guzman"	0.173558
"Vladimir Nunez"	0.171167
"Steve Avery"	0.170823
"Ryan Glynn"	0.170588
"Pete Schourek"	0.170167
"Byung-Hyun Kim"	0.170104
"Ramiro Mendoza"	0.166155
"Kenny Rogers"	0.165118
"Rick Helling"	0.164864
Sele	0.163883
"Curt Schilling"	0.163491
Mussina	0.162302
"Chuck Finley"	0.162164
"Bret Saberhagen"	0.162132
"Jarrod Washburn"	0.161365
"Shigetoshi Hasegawa"	0.161166
"Denny Neagle"	0.161001
"Paul Shuey"	0.160561
"Matt Herges"	0.160062
"Rick White"	0.15814
Parris	0.157743
"Frankie Rodriguez"	0.157473
Burba	0.157386
"John Wasdin"	0.157182
"Scott Williamson"	0.156731
"Bruce Chen"	0.15664
"Todd Stottlemyre"	0.156625
"Al Levine"	0.156598
Schourek	0.156147
"Tom Glavine"	0.155442
"Dwight Gooden"	0.155085
Heredia	0.15489
"Al Leiter"	0.153574
"Jason Grimsley"	0.153423
Halama	0.153082
"Ken Hill"	0.152864
"Dan Miceli"	0.152862
"Doug Henry"	0.152498
"Kevin Millwood"	0.151956
Eldred	0.150364
Suppan	0.149765
"Russ Springer"	0.149173
Elarton	0.149099
"Jamie Arnold"	0.148893
"Ramon Martinez"	0.148732
Pulsipher	0.148046
"Bobby Jones"	0.147833
Arrojo	0.147005
"Robb Nen"	0.146456
"Brett Hinchliffe"	0.146331
"Mark Langston"	0.146195
"Orlando Hernandez"	0.146114
"Ismael Valdes"	0.146056
"Sterling Hitchcock"	0.146047
"Andy Pettitte"	0.14592
"Mark Petkovsek"	0.145578
Perisho	0.144995
Helling	0.144246
Radke	0.14423
Mlicki	0.142675
"Orel Hershiser"	0.142505
"John Smoltz"	0.141445
Pavano	0.14137
Petkovsek	0.14094
Reynoso	0.140157
"DOUG JONES"	0.139306
"Jack McDowell"	0.139015
Loaiza	0.138744
"Rick Aguilera"	0.138308
Checo	0.137169
"Ricky Bottalico"	0.136524
Moyer	0.135264
Herges	0.13487
"Pat Mahomes"	0.13401
Leiter	0.133894
"Scarlet Knights"	0.133471
Nagy	0.132444
"Matt Perisho"	0.132344
Meche	0.130708
"Doug Davis"	0.130622
Etherton	0.130506
"Seth Etherton"	0.129518
"Mike Williams"	0.12929
"John Hudek"	0.128864
"Eric Gagne"	0.128673
"Alan Embree"	0.128649
"Dennis Cook"	0.128629
"Kerry Wood"	0.128529
"Scott Sullivan"	0.126921
"Jose Paniagua"	0.126225
Burkett	0.125401
"Tim Crabtree"	0.12506
Mulholland	0.124665
Bohanon	0.124554
"Randy Myers"	0.124112
"Ed Yarnall"	0.123752
terrapin	0.123467
Grimsley	0.12323
Belcher	0.123032
"Jose Mesa"	0.122835
Dreifort	0.122819
estes	0.122783
"Jay Powell"	0.122629
"Mike Stanton"	0.122457
bearcat	0.122158
Osuna	0.121849
Candiotti	0.121421
"Bob Wickman"	0.120722
Borbon	0.120355
"Carlos Perez"	0.120073
"Rich Rodriguez"	0.119514
"Greg Maddux"	0.119292
Glavine	0.118719
Olivares	0.118717
"Pedro Borbon"	0.117961
Stephenson	0.117338
Hershiser	0.117304
Contreras	0.11721
"Tony Clark"	0.117157
"Dean Palmer"	0.117095
Smoltz	0.116542
"Mike Timlin"	0.116412
"Terry Adams"	0.1163
gamecock	0.116128
"Mike Remlinger"	0.11533
"Troy Percival"	0.115111
"David Cone"	0.11499
Starzz	0.114715
Zito	0.114711
"Ugueth Urbina"	0.114311
Rapp	0.113932
"Robinson Checo"	0.113767
Valdes	0.113721
"Jason Isringhausen"	0.113476
Mercker	0.113275
Hawkeyes	0.11311
"Danny Patterson"	0.11294
"Charlie Batch"	0.112903
"Odalis Perez"	0.112643
"Chuck Smith"	0.112579
"Derek Lowe"	0.111218
"Rich Garces"	0.111123
Millwood	0.11027
"Turk Wendell"	0.110067
"Juan Encarnacion"	0.109891
Hudek	0.109585
Saberhagen	0.109491
Schoeneweis	0.109435
"Antonio Osuna"	0.109423
Meadows	0.109359
"David Wells"	0.1093
"Heathcliff Slocumb"	0.108998
"Red Raiders"	0.108924
"Mike Magnante"	0.108631
Sooners	0.108409
Yoshii	0.108366
Fassero	0.108124
"Paul Spoljaric"	0.10797
"Kevin Brown"	0.107386
Masaoka	0.106976
"Rod Beck"	0.106918
Isringhausen	0.106865
"Donne Wall"	0.106548
"Greg Swindell"	0.106325
Cloude	0.106224
Cormier	0.106188
Tomko	0.105006
Boilermakers	0.104963
Schilling	0.103905
"Jeff Nelson"	0.103872
"Fighting Irish"	0.10266
"Billy Taylor"	0.102645
NAU	0.102639
Mantei	0.102319
Utes	0.10209
"Bobby Higginson"	0.101674
Remlinger	0.101558
"Roger Clemens"	0.10045
"Mark Leiter"	0.100105
))
("Brian Poli-Dixon" (desc 2326.17) (sims
"Danny Farmer"	0.299492
"DeShaun Foster"	0.296885
"Freddie Mitchell"	0.276288
"Dez White"	0.192117
"Pete Holland"	0.156867
"Jermaine Lewis"	0.141723
"Keith Brown"	0.136877
"Marques Anderson"	0.134684
"Chris Calloway"	0.123082
"Windrell Hayes"	0.112698
"Jimmy Smith"	0.108704
"Ryan Roques"	0.106484
"Yancey Thigpen"	0.104639
"R. Jay Soward"	0.102301
"Chris Taylor"	0.101023
"Bobby Brown"	0.0982106
"Antonio Freeman"	0.0980691
"Marcell Allmond"	0.0974353
"Derrick Mayes"	0.0933211
"Amani Toomer"	0.0924632
"Eric Moulds"	0.0862236
"Rocket Ismail"	0.08562
"Oronde Gadsden"	0.0856074
"Terance Mathis"	0.0853454
"Tim Dwight"	0.0850649
"Ed McCaffrey"	0.0841863
"Ike Hilliard"	0.0827991
"Drew Bennett"	0.0809726
"Rod Smith"	0.0805095
"Peerless Price"	0.0797443
"Rob Moore"	0.0790363
"Kevin Dyson"	0.0776662
"Wane McGarity"	0.0769937
"James McKnight"	0.0765961
"Raghib Ismail"	0.0762117
"Tony Martin"	0.0748511
"HERMAN MOORE"	0.074733
"Ryan McCann"	0.0744972
"Wayne Chrebet"	0.0742951
"Tim Brown"	0.0732341
"Andre Rison"	0.0726799
"Jason Bell"	0.0724029
"Earl Watson"	0.0718425
"Jake Reed"	0.0715703
"Billy Davis"	0.069284
"Jeff Ogden"	0.0684338
"Kris Farris"	0.0678894
"Frank Sanders"	0.0670762
"Troy Brown"	0.0670257
"Tony Simmons"	0.0667271
"Dedric Ward"	0.066228
"Sean Farnham"	0.065852
"Ernie Mills"	0.0653579
"Marvin Harrison"	0.0652862
"J.J Stokes"	0.0651227
"Chris Warren"	0.0650707
"Robert Thomas"	0.0647141
"Andre Reed"	0.064334
"Eric Metcalf"	0.0627611
"Jesus Sanchez"	0.0624789
"Isaac Bruce"	0.0624123
"Jerome Moiso"	0.0620615
"Robert Brooks"	0.0615779
"Terrell Owens"	0.0614966
"Cory Paus"	0.0610915
"Lynn Swann"	0.0606803
"Cris Carter"	0.0601149
"Kareem Kelly"	0.05924
"Torry Holt"	0.0592102
"Carl Pickens"	0.0590364
"Ryan Nece"	0.0585911
"Shawn Jefferson"	0.0584935
"Rico Hines"	0.058199
"Terry Glenn"	0.0574136
"Michael Westbrook"	0.0569685
"Kevin Williams"	0.0563431
"David Boston"	0.0562604
"Rae Carruth"	0.0562166
"Joey Galloway"	0.0558876
"Derrick Alexander"	0.055549
Mathis	0.0543081
"Russ Ortiz"	0.0534262
"BRIAN MEADOWS"	0.0532197
"Jason Elam"	0.0525809
"Jeff Weaver"	0.052347
"Michael Wiley"	0.0518018
"Michael Irvin"	0.0513415
"Peter Warrick"	0.0511186
McGarity	0.0510193
"Dan Gadzuric"	0.050859
Woolley	0.0503647
"Karim Abdul-Jabbar"	0.0491042
"Javier Vazquez"	0.0487318
Soward	0.0484134
"Jason Kapono"	0.0479224
"Kevin Johnson"	0.047855
"Keyshawn Johnson"	0.0477064
"Gil Heredia"	0.0474397
"Jim Parque"	0.0471246
"Skip Hicks"	0.0470068
Chrebet	0.0462272
"Ray Young"	0.0460311
"Woody Williams"	0.0460264
"Brad Penny"	0.0458496
Loretta	0.0458489
"Brian Anderson"	0.0458487
"Guy Carbonneau"	0.0454006
"Charlie Batch"	0.0444335
"Chris Johnson"	0.0440076
"Darren Van Impe"	0.0439773
"Vincent Brisby"	0.0438323
"Steve Sparks"	0.0437956
"Gil Meche"	0.0436476
"Matt Barnes"	0.0434986
"Bobby Newcombe"	0.0431795
"Tony White"	0.0431219
Moiso	0.0431127
"Brian Moehler"	0.0430138
"Jimmy Oliver"	0.0428068
Aurilia	0.0426127
"Baron Davis"	0.0420216
"Freddy Garcia"	0.0416977
"John Grahame"	0.0413447
"JaRon Rush"	0.0412411
"Chris Carpenter"	0.0411935
Smolinski	0.0411323
"Ken Cloude"	0.0410684
"Eric Milton"	0.0404111
"Omar Olivares"	0.0401136
))
("Brian Rolston" (desc 1480.97) (sims
"Petr Sykora"	0.409429
"Bobby Holik"	0.339706
"Patrik Elias"	0.307862
"Jay Pandolfo"	0.292413
"Randy McKay"	0.284528
"Jason Arnott"	0.222894
"Dave Andreychuk"	0.193085
"Alexander Mogilny"	0.190069
"Scott Gomez"	0.184829
"Claude Lemieux"	0.173023
"Scott Niedermayer"	0.150325
"Lyle Odelein"	0.147716
"Scott Stevens"	0.131648
"Ken Belanger"	0.122697
"Bill Guerin"	0.108139
"Raul Diaz Arce"	0.107503
"Stern John"	0.104611
"Steve Thomas"	0.101384
"Cliff Ronning"	0.100348
"Roy Lassiter"	0.0988357
"Dixon Ward"	0.0987601
Holik	0.0983705
"Darren McCarty"	0.0979029
"Ante Razov"	0.0970356
"Lamond Murray"	0.0919517
Daigle	0.0919314
"Matthew Barnaby"	0.0899984
"Don Maclean"	0.0898563
"Hu Weidong"	0.0895211
"Alexei Kovalev"	0.0892232
Elias	0.0888548
"Chris Gatling"	0.087941
"Joe Juneau"	0.0879362
"Tim Taylor"	0.087676
"Hao Haidong"	0.0874434
"Adam Deadmarsh"	0.08713
"Chris Drury"	0.0867117
"Pavol Demitra"	0.0866574
"Shannon MacMillan"	0.0864429
"Rob DiMaio"	0.0862783
"Otis Thorpe"	0.0861355
"ZIGMUND PALFFY"	0.0851837
"Gabe Muoneke"	0.0847363
Lacroix	0.0841714
Arnott	0.0837352
"Jarvis Turner"	0.0834354
"Milan Hejduk"	0.083014
"Joe Sakic"	0.0820711
"Matt Bullard"	0.0819257
"John Madden"	0.0815075
"Luis Hernandez"	0.0802677
"Kirk Muller"	0.0801564
"Vincent Damphousse"	0.0799074
Niedermayer	0.0785028
"Eric Wynalda"	0.0781341
"Adam Graves"	0.0766733
"Kevin Stevens"	0.0766405
"Tamika Catchings"	0.0761781
"Tiffeny Milbrett"	0.0753625
"Donald Audette"	0.0752021
"Petr Nedved"	0.0751149
"Othella Harrington"	0.0746816
"Anson Carter"	0.0746422
"Vladimir Malakhov"	0.0746329
"Steve Heinze"	0.0744234
"Nick Anderson"	0.0742969
"Khodadad Azizi"	0.074223
"Richard Jefferson"	0.0741861
"Chris Mills"	0.0740663
"Faustino Asprilla"	0.0739324
"Wendel Clark"	0.073099
"Geoff Sanderson"	0.0728419
"Harry Kewell"	0.0723075
"Ian Wright"	0.0715436
"Michael Wright"	0.0714514
"Cindy Parlow"	0.0713908
Laperriere	0.0711593
"Donald Brashear"	0.0708411
"Donyell Marshall"	0.0708059
"Niklas Sundstrom"	0.0703109
"Danny Manning"	0.0702846
"Corliss Williamson"	0.0701236
"Theo Fleury"	0.0698591
Welton	0.0698223
"Kris Clack"	0.0697325
"Jeff Friesen"	0.0694041
"Tore Andre Flo"	0.0693639
"Claudio Lopez"	0.0691717
"Sam Clancy"	0.0688101
Reichel	0.068426
"Keith Primeau"	0.0683904
"Todd Harvey"	0.0683619
"Grant Long"	0.0683039
"Antawn Jamison"	0.0681005
"Shane Doan"	0.0680265
"Tony Amonte"	0.0680229
"Olli Jokinen"	0.0678657
"Horace Grant"	0.0676097
"Rick Tocchet"	0.0674713
"Cedric Ceballos"	0.0674688
"Dale Hunter"	0.0674395
"Sun Wen"	0.067293
"Nwankwo Kanu"	0.0672805
"Chris Crawford"	0.0671388
"Raef LaFrentz"	0.0671085
"Joe Thornton"	0.0669469
"Chris Porter"	0.0669355
"Joe-Max Moore"	0.0668466
LaPointe	0.0668313
"Predrag Mijatovic"	0.0665902
"Alen Boksic"	0.0665703
"Juha Ylonen"	0.0664905
"P.J Brown"	0.0664475
"Jason Kapono"	0.0663219
"Dmitri Khristich"	0.0662397
"Carlos Hermosillo"	0.0661087
"Kevin Freeman"	0.0658102
"Bryan Berard"	0.0655397
"Mike Sullivan"	0.0653763
Tverdovsky	0.0652833
"DeLisha Milton"	0.0652751
"Brendan Shanahan"	0.0651695
Asprilla	0.065023
"J.R Reid"	0.0650018
"Dale Davis"	0.0644347
"Brian Scalabrine"	0.0644293
"Ziggy Palffy"	0.0642164
"Danny Fortson"	0.0641313
Madden	0.0641081
"Jermaine O'Neal"	0.0640891
"Elden Campbell"	0.0639386
"Tina Thompson"	0.0637516
"David Trezeguet"	0.0637484
"Tim Thomas"	0.0637333
"CORIE BLOUNT"	0.0637122
"Christian Laettner"	0.0637064
"Austin Croshere"	0.0636678
"Dallas Drake"	0.0634623
"John Wallace"	0.0633834
"Kenny Thomas"	0.0633049
McKay	0.0631302
"Clifford Robinson"	0.0631149
"Ted Donato"	0.0630318
"Derrick Coleman"	0.0629998
"George McCloud"	0.0629089
"Brian McBride"	0.0628355
"Rodney Rogers"	0.0627142
"Adrian Ilie"	0.0625532
"Sergei Samsonov"	0.0624583
"Antonio Davis"	0.0622977
"Peter Bondra"	0.0621184
"Chris Taylor"	0.0620663
"Mathieu Schneider"	0.061957
"Jamal Mashburn"	0.0616938
Konerko	0.0616502
"Steve Yzerman"	0.0616026
"Manny Legace"	0.0608881
"Jumaine Jones"	0.0608848
"Mike Miller"	0.0608796
"Brad Isbister"	0.0606634
"John LeClair"	0.0605656
"Dejan Savicevic"	0.0605041
"Jeremy Roenick"	0.0604018
"John MacLean"	0.0602475
"Patrick Kluivert"	0.060068
"Grant Marshall"	0.0599263
Primeau	0.0598588
"Travis Knight"	0.059257
"Brian Grant"	0.0591479
"Shawn Marion"	0.0591461
Sykora	0.0590715
"Paul Merson"	0.0590013
"Tony Battie"	0.0587345
"Dave Reid"	0.0587004
"Travis Green"	0.0586105
"Brian Laudrup"	0.058595
"Kevin Willis"	0.0584832
"Terry Cummings"	0.058283
"Brian Skrudland"	0.0580241
"Rico Hines"	0.0579494
"Clarence Weatherspoon"	0.057918
Vieri	0.0578598
"Shane Battier"	0.0578409
"Chris Anstey"	0.0575435
"Tracy McGrady"	0.0575195
"Mike Keane"	0.0574694
"Miroslav Satan"	0.0574432
"Pavel Bure"	0.05744
"Keith Van Horn"	0.0573828
"P.J Axelsson"	0.0572328
"Blake Sloan"	0.0571561
"Manny Malhotra"	0.0570746
"Jamie Feick"	0.0569797
"Christophe Dugarry"	0.0568207
Duchesne	0.0567614
"Doug Gilmour"	0.056747
"three pitchers"	0.0567446
"Hidetoshi Nakata"	0.0566824
"Owen Nolan"	0.0565307
"Bryon Russell"	0.0564308
))
("Brian Rose" (desc 2477.78) (sims
"Pat Rapp"	0.356303
"Bryce Florie"	0.317015
"Brett Hinchliffe"	0.264317
"Jin Ho Cho"	0.262269
"Tim Wakefield"	0.248353
"BRIAN MEADOWS"	0.246233
"Mark Portugal"	0.245178
"John Wasdin"	0.245053
"Carl Pavano"	0.234855
"Paul Abbott"	0.233755
"Brian Moehler"	0.230643
"Javier Vazquez"	0.229095
"Ryan Glynn"	0.228658
"Bret Saberhagen"	0.228442
"Russ Ortiz"	0.224818
"Woody Williams"	0.224636
"Jon Lieber"	0.224143
"Jose Jimenez"	0.221465
"Steve Parris"	0.219406
"Jamie Arnold"	0.218795
"Byung-Hyun Kim"	0.218524
"Jeff Weaver"	0.217897
"Gil Heredia"	0.215767
"Octavio Dotel"	0.214032
"Ramon Ortiz"	0.210667
"Mark Gardner"	0.209887
"Derek Lowe"	0.209855
"Chris Carpenter"	0.20627
"Kirk Rueter"	0.206033
"John Burkett"	0.204223
"Mark Guthrie"	0.199842
"Tom Gordon"	0.197527
"Eric Gagne"	0.196661
"Ryan Dempster"	0.196467
"John Snyder"	0.194881
"Armando Reynoso"	0.194415
"Jesus Sanchez"	0.194284
"Mike Judd"	0.193372
"Tim Hudson"	0.193014
"Ken Cloude"	0.191278
"Wilton Veras"	0.188635
"Jim Parque"	0.188493
"Francisco Cordova"	0.18806
"Rod Beck"	0.187742
"Mac Suzuki"	0.187708
"Gil Meche"	0.186173
"Jason Schmidt"	0.184361
"Russ Springer"	0.183256
"Dustin Hermanson"	0.182245
"Jim Corsi"	0.181244
"Rheal Cormier"	0.18068
"Paul Byrd"	0.180679
"Mike Sirotka"	0.180043
"Brad Radke"	0.17893
Bere	0.178621
"Eric Milton"	0.176423
"Ramon Martinez"	0.175751
"Matt Herges"	0.175031
"Jason Bere"	0.174021
"Dave Burba"	0.173889
"Pete Schourek"	0.17376
"Scott Elarton"	0.17299
"Jack McDowell"	0.171993
"Jamey Wright"	0.171651
"Pat Hentgen"	0.170898
"Dave Mlicki"	0.170646
"Rich Garces"	0.170367
"Ron Villone"	0.169808
"Robinson Checo"	0.169776
"Brett Tomko"	0.169569
"Jamie Moyer"	0.169553
"Kevin Tapani"	0.168295
"Kent Mercker"	0.167361
"Tim Belcher"	0.166825
"Sidney Ponson"	0.164975
"Esteban Loaiza"	0.162923
"Tom Candiotti"	0.16216
"Paul Shuey"	0.161436
"Pete Harnisch"	0.160997
"Aaron Sele"	0.160925
"STEVE WOODARD"	0.160801
"Kent Bottenfield"	0.159211
"Omar Olivares"	0.158583
"Shane Reynolds"	0.158394
"Kevin Appier"	0.158086
"Scott Williamson"	0.157764
"Mike Morgan"	0.157708
"Jarrod Washburn"	0.157151
"Scott Erickson"	0.156279
"Steve Avery"	0.156277
"Steve Trachsel"	0.156079
"Freddy Garcia"	0.155531
"Matt Morris"	0.155327
"Rolando Arrojo"	0.154786
"Bill Pulsipher"	0.153603
"Vladimir Nunez"	0.152207
"Darren Dreifort"	0.151089
"Jason Dickson"	0.150851
"Jeff Fassero"	0.150448
"Bruce Chen"	0.150439
"Steve Sparks"	0.15031
"Darren Oliver"	0.148653
"Brad Penny"	0.148534
"Pedro Astacio"	0.148173
"Al Levine"	0.147704
"Bartolo Colon"	0.147587
"Jeff Frye"	0.147236
"Lou Merloni"	0.146748
"Scott Schoeneweis"	0.146674
"Scott Hatteberg"	0.14658
"Mark Petkovsek"	0.146379
"Ugueth Urbina"	0.145556
"Sean Bergman"	0.145477
"Livan Hernandez"	0.145175
"Charles Nagy"	0.144305
"Jaret Wright"	0.144198
"Chris Holt"	0.143218
"Terry Mulholland"	0.142966
"John Halama"	0.14228
"Joey Hamilton"	0.141923
"Kevin McGlinchy"	0.141326
"Doug Davis"	0.14113
"Andy Benes"	0.141088
"Mark Clark"	0.140841
"Dan Miceli"	0.13991
"Willie Blair"	0.139832
"Pat Mahomes"	0.139361
"Shawn Estes"	0.139326
"Donnie Sadler"	0.138478
"Danny Graves"	0.136843
"Dwight Gooden"	0.136155
"Darryl Kile"	0.135725
"Masato Yoshii"	0.135518
"Brian Bohanon"	0.134926
"Jose Paniagua"	0.134127
"Scott Karl"	0.133858
"John Hudek"	0.133828
"Mike Timlin"	0.132694
"Kerry Wood"	0.131982
"Jason Varitek"	0.130875
"Rick Reed"	0.130495
"Shigetoshi Hasegawa"	0.129384
"Doug Henry"	0.129082
"Alex Fernandez"	0.12895
"Brian Anderson"	0.128613
"Mike Fetters"	0.128513
"Ramiro Mendoza"	0.128362
"Mark Langston"	0.128243
Bottenfield	0.127333
"Jason Isringhausen"	0.127173
"Jose Mesa"	0.126514
"Jeff Nelson"	0.12628
"Danny Patterson"	0.125905
"James Baldwin"	0.125827
"Ed Yarnall"	0.125622
Schourek	0.125614
"Carlos Perez"	0.125287
"Jay Powell"	0.124976
"Tim Crabtree"	0.124935
Lieber	0.124928
"Jeff Zimmerman"	0.123736
"Juan Guzman"	0.123593
"Robb Nen"	0.123524
Petkovsek	0.123373
Trachsel	0.12335
"Mike Mussina"	0.122497
"Rick White"	0.122324
"Orel Hershiser"	0.122171
"Brian Cooper"	0.121454
"Odalis Perez"	0.121367
"Omar Daal"	0.1211
"Chan Ho Park"	0.120815
"Trot Nixon"	0.120498
"Mark Leiter"	0.119523
"Antonio Osuna"	0.117978
"Hideki Irabu"	0.117803
"Ricky Bottalico"	0.116933
"Jose Lima"	0.11659
"Frankie Rodriguez"	0.115747
"Kerry Ligtenberg"	0.115269
"Rick Aguilera"	0.115229
"Pedro Martinez"	0.114932
"Wilson Alvarez"	0.114892
"Kevin Millwood"	0.114888
"Todd Stottlemyre"	0.113133
"Heathcliff Slocumb"	0.112967
Harnisch	0.112068
"Hideo Nomo"	0.111573
"Rick Helling"	0.111517
"Alan Embree"	0.11144
"Dennis Eckersley"	0.111104
Isringhausen	0.111061
"Terry Adams"	0.110992
Pavano	0.110915
"Francisco Cordero"	0.110809
Burkett	0.110011
"Mike Remlinger"	0.109804
Elarton	0.109617
"Ken Hill"	0.108941
Benes	0.108729
"Rich Rodriguez"	0.10858
"Mike Holtz"	0.108535
"Turk Wendell"	0.108069
"Orlando Hernandez"	0.107888
"Allen Watson"	0.107763
"Matt Perisho"	0.107639
Sele	0.107388
"Chuck McElroy"	0.105205
"John Smoltz"	0.104384
"Seth Etherton"	0.103865
"Sterling Hitchcock"	0.103834
"Billy Taylor"	0.103541
"Greg McMichael"	0.10286
"Pedro Borbon"	0.102837
"Onan Masaoka"	0.102832
"Greg Swindell"	0.102828
"Rudy Seanez"	0.102542
Rusch	0.102129
"Jason Grimsley"	0.10187
"Andy Ashby"	0.101756
"Donne Wall"	0.101169
"Brian Daubach"	0.101115
Daal	0.100642
"Bobby Jones"	0.100429
Suppan	0.100374
"Bob Wickman"	0.100072
))
("Brian Scalabrine" (desc 1931.76) (sims
"Jeff Trepagnier"	0.368549
"Sam Clancy"	0.288524
"Jarvis Turner"	0.27356
"Brandon Granville"	0.256985
"Chris Porter"	0.19905
"Rico Hines"	0.19735
"Sean Farnham"	0.195068
"JaRon Rush"	0.162036
"Shane Battier"	0.159906
"Etan Thomas"	0.158496
"Gabe Muoneke"	0.153894
"Tamika Catchings"	0.152685
"Jason Kapono"	0.145816
"Richard Jefferson"	0.145794
"Jerome Moiso"	0.145712
Scalabrine	0.143216
"Michael Wright"	0.14146
"Matt Barnes"	0.139039
"Aaron Williams"	0.136992
"Mike Van Raaphorst"	0.136732
"Mike Sullivan"	0.136059
"Cliff Ronning"	0.135207
"Kenyon Martin"	0.134736
"Mark Madsen"	0.132068
"Brian Skinner"	0.131587
"Kris Clack"	0.130442
"Dan Gadzuric"	0.129599
"Ante Razov"	0.129081
"Raef LaFrentz"	0.126134
"Billy Knight"	0.125033
"Mike Miller"	0.124106
"Alan Henderson"	0.123983
"Jumaine Jones"	0.12374
"Derrick Coleman"	0.122738
"Sean Rooks"	0.122445
"Chad Morton"	0.12152
"Chris Carrawell"	0.121515
"Pavol Demitra"	0.121384
"Eddie House"	0.120922
"Doug Weight"	0.120132
"Richard Hamilton"	0.117677
"Kevin Freeman"	0.117286
"Elton Brand"	0.116547
"Alexei Kovalev"	0.116172
"Kenny Thomas"	0.115917
"Theo Ratliff"	0.115153
"Earl Watson"	0.114487
"Jeremy Roenick"	0.114014
"Marcus Fizer"	0.113402
"DeLisha Milton"	0.111928
"Bill Guerin"	0.110836
"Antoine Carr"	0.110384
"Brian McBride"	0.109809
"Olli Jokinen"	0.10945
"Chris Claiborne"	0.109309
"Hu Weidong"	0.109273
"Shawn Marion"	0.107609
"Chris Crawford"	0.106577
"Grant Long"	0.106318
"Brian Skrudland"	0.106254
"Chris Drury"	0.106222
"Robert Traylor"	0.106027
"Jason Allison"	0.105486
"Kevin Willis"	0.10535
"Gary Trent"	0.104748
"Ron Artest"	0.104484
"Joe Thornton"	0.104476
"Doug Gilmour"	0.104377
"Stern John"	0.104352
"Keith Van Horn"	0.103621
"Rick Tocchet"	0.102892
"Joe Sakic"	0.102666
"Sergei Fedorov"	0.102446
"Arvydas Sabonis"	0.102367
"Jake Voskuhl"	0.102191
"Joe Juneau"	0.102168
"Dickey Simpkins"	0.102118
"Scot Pollard"	0.10192
"Brendan Shanahan"	0.10169
"Maurice Taylor"	0.101327
"Jennifer Gillom"	0.1008
"Lamond Murray"	0.100197
"Vincent Damphousse"	0.100026
"Bobby Newcombe"	0.0998881
"R. Jay Soward"	0.0993712
"Donyell Marshall"	0.0992401
"Carson Palmer"	0.0983156
"Sultan McCullough"	0.0982943
"Patrik Stefan"	0.0981355
"Dale Davis"	0.0981352
"Milan Hejduk"	0.09751
"Vin Baker"	0.097475
"Elden Campbell"	0.0974002
"P.J Brown"	0.0971341
"Horace Grant"	0.0962018
"CORIE BLOUNT"	0.0959444
"Jeff Friesen"	0.0958222
"Guy Carbonneau"	0.0956893
"Antawn Jamison"	0.095559
"Raul Diaz Arce"	0.0954214
"Chris Anstey"	0.0953416
"Chris Taylor"	0.0953104
"Morris Peterson"	0.0951258
"Joe Nieuwendyk"	0.0950619
"Yao Ming"	0.0950582
"Alexei Yashin"	0.0950129
"Lee Nailon"	0.0947251
"Clarence Weatherspoon"	0.0945904
"Jamal Mashburn"	0.0944038
"Hao Haidong"	0.0941177
"Travis Knight"	0.0939392
"Michael Redd"	0.0939249
"Othella Harrington"	0.0937023
"Greg Adams"	0.0935133
"Tyrone Nesby"	0.0934467
"Darren McCarty"	0.093373
"Ruben Patterson"	0.0932219
"Shannon MacMillan"	0.093021
"Rodney Rogers"	0.0929364
"Sean Elliott"	0.0927099
"Sun Wen"	0.092455
"Juwan Howard"	0.0924536
"Peter Forsberg"	0.0923324
"Jermaine O'Neal"	0.0917898
"Shawn Kemp"	0.0916302
"Danny Fortson"	0.0913908
"Cedric Ceballos"	0.0913393
Szczerbiak	0.0913275
"Owen Nolan"	0.0909822
"Keith Primeau"	0.0907269
"Bob Corkum"	0.0907256
"Lorenzen Wright"	0.0905135
"Pierre Turgeon"	0.0902468
"Rasheed Wallace"	0.0899633
"Jayson Williams"	0.0892692
"Keith Tkachuk"	0.089154
"Corliss Williamson"	0.0890697
"Rick Fox"	0.0886688
Artest	0.0880707
"Brian Grant"	0.0878043
"Wally Szczerbiak"	0.0873807
"Tiffeny Milbrett"	0.087235
"Juha Ylonen"	0.0872227
"Greg Ostertag"	0.0868072
"Ray Ferraro"	0.086711
"Antonio Davis"	0.0863305
"Mike Keane"	0.0859672
"Adam Deadmarsh"	0.0857813
"Mike Modano"	0.0849413
"Jerome Kersey"	0.084757
"Ziggy Palffy"	0.0846117
"Lisa Leslie"	0.0842539
"Austin Croshere"	0.084102
"Jelani McCoy"	0.083823
"Steve Rucchin"	0.0835882
Ceballos	0.0833476
"Glenn Robinson"	0.083339
"Mark Bryant"	0.0832839
"Shawn Bradley"	0.0830903
"Dave Wohlabaugh"	0.0829516
"Steve Francis"	0.0826666
"Jozef Stumpel"	0.0824555
"Lamar Odom"	0.0823011
"Shane Doan"	0.0822162
"Theo Fleury"	0.0822001
"Danny Manning"	0.0820521
"Predrag Mijatovic"	0.0818692
"Robert Horry"	0.0814603
"Todd MacCulloch"	0.0811184
"Bryon Russell"	0.0808846
Croshere	0.0808736
"Chris Mihm"	0.0805027
"Miroslav Satan"	0.0802798
"Blake Sloan"	0.0801324
"Khodadad Azizi"	0.0800549
"Ian Laperriere"	0.0794342
"Jalen Rose"	0.0793963
"Tony Amonte"	0.0791063
"Wang Zhizhi"	0.0788011
"Adam Oates"	0.0787673
"Clifford Robinson"	0.078679
"Aaron Gavey"	0.0786466
"Jamal Lewis"	0.0785597
"Ryan Bailey"	0.0785514
"Chris Gatling"	0.0785182
"Raul Gonzalez"	0.0784366
"Walt Williams"	0.078421
"Michael Finley"	0.0782428
flanker	0.0782238
"Tim Thomas"	0.0780118
"J.R Reid"	0.0777723
"Chris Mills"	0.0774219
"Christian Laettner"	0.0770726
"Dale Hunter"	0.0769863
"Matthew Barnaby"	0.0763412
Longley	0.0757143
"Chamique Holdsclaw"	0.0752843
"SCOTT BURRELL"	0.0747923
"Tina Thompson"	0.0747085
"Geoff Sanderson"	0.0745529
))
("Brian Shaw" (desc 3716.17) (sims
"Rick Fox"	0.364274
"Robert Horry"	0.349485
"Derek Fisher"	0.327707
"A.C. Green"	0.296801
"Ron Harper"	0.290955
"Derek Harper"	0.289161
"John Salley"	0.278313
"J.R Reid"	0.273132
"Travis Knight"	0.22747
"Glen Rice"	0.225544
Horry	0.210374
"Eddie Jones"	0.184554
"Devean George"	0.182857
"Kobe Bryant"	0.179487
"Jim Jackson"	0.164706
"CORIE BLOUNT"	0.161161
"Randy Brown"	0.149945
"Brent Barry"	0.138595
"Ruben Patterson"	0.134036
"David Wesley"	0.133332
"Tyronn Lue"	0.129656
"Stacey Augmon"	0.124926
"Kelvin Cato"	0.123971
"Gary Trent"	0.123424
"Toni Kukoc"	0.121836
"Shaquille O'Neal"	0.121233
O'Neal	0.119874
"Walt Williams"	0.118776
"Terry Porter"	0.116841
"Elden Campbell"	0.116117
"Steve Kerr"	0.116107
Bryant	0.112281
"Ed Gray"	0.112258
"Sherman Douglas"	0.11096
"Voshon Lenard"	0.109833
"Damon Stoudamire"	0.108687
"Ryan Bailey"	0.108269
"Greg Anthony"	0.10797
"Jaren Jackson"	0.106587
"Mark Jackson"	0.106057
"Mitch Richmond"	0.105997
"Nick Van Exel"	0.105329
"Sean Rooks"	0.105306
"Dale Ellis"	0.104934
"Austin Croshere"	0.104363
"Jalen Rose"	0.104303
"Samaki Walker"	0.1037
"Nick Anderson"	0.103368
"Terrell Brandon"	0.102736
"Bonzi Wells"	0.102433
Kukoc	0.101894
"Billy Knight"	0.100475
"Cedric Ceballos"	0.1004
"Anfernee Hardaway"	0.099833
"Bobby Phills"	0.0970546
"Kevin Johnson"	0.096819
"Joe Kleine"	0.0968134
"Scottie Pippen"	0.0957631
"Herb Williams"	0.0951634
"Eric Snow"	0.0951598
"Dennis Rodman"	0.0948392
"Reggie Miller"	0.0945444
"SCOTT BURRELL"	0.0931624
"Charlie Ward"	0.0930952
"Christian Laettner"	0.0924061
"Malik Sealy"	0.0915316
"Clifford Robinson"	0.0913137
"B.J Armstrong"	0.0904427
"Vin Baker"	0.0901777
"Eric Murdock"	0.0893924
"Carlos Rogers"	0.088981
"Penny Hardaway"	0.0888693
"Brian Grant"	0.0879902
"Shannon MacMillan"	0.087733
"Isaiah Rider"	0.0873461
"Hu Weidong"	0.0871418
"Tony Hutson"	0.086573
"Chris Childs"	0.0854824
"Mario Elie"	0.0854652
"Michael Redd"	0.0846678
"Clyde Drexler"	0.0844713
"Joe Dumars"	0.0840435
"Brad Miller"	0.0835528
"Dan Majerle"	0.0829822
"Rex Chapman"	0.0828353
"Matt Maloney"	0.081596
"Steve Smith"	0.0813503
"Anthony Johnson"	0.0807099
Harper	0.0801357
"Darrick Martin"	0.0801022
"Kurt Thomas"	0.0797353
"Rodney Rogers"	0.0795045
"Dennis Scott"	0.0794763
Pippen	0.0789432
"Otis Thorpe"	0.0774453
Leetch	0.0774105
"Shareef Abdur-Rahim"	0.076833
"Shandon Anderson"	0.0765586
"Steve Nash"	0.076545
"Grant Hill"	0.0760711
"Michael Finley"	0.0758827
"Brandon Granville"	0.0756977
"Gene Williams"	0.0756188
"Sam Cassell"	0.0756057
"Matt Santangelo"	0.0751119
Cato	0.0748557
"Mark Bryant"	0.0747
"Tracy McGrady"	0.0745766
"Eric Piatkowski"	0.0744296
"Khalid El-Amin"	0.074201
"Chris Warren"	0.073935
"Allen Iverson"	0.0739201
"Jeff Hornacek"	0.0739017
"Kerry Kittles"	0.0737213
Shaq	0.0728413
"Travis Best"	0.0728133
"Tariq Abdul-Wahad"	0.0721023
"Brevin Knight"	0.071202
"Chris Anstey"	0.0711822
"Theo Ratliff"	0.0711132
"Bill Wennington"	0.0710744
"Michele Timms"	0.0705012
"Grant Long"	0.07036
"Billy Owens"	0.0702475
"Shawn Bradley"	0.0701344
"Jerry Stackhouse"	0.0696853
Shaw	0.0694807
"Allan Houston"	0.0693573
"Anthony Mason"	0.0692244
"Ron Mercer"	0.0690043
"Ryan McCann"	0.0689085
"Chris Dudley"	0.0686935
"Alan Henderson"	0.0685955
"Rasheed Wallace"	0.0685049
"Stephon Marbury"	0.0683178
"Zydrunas Ilgauskas"	0.0683177
"Jermaine O'Neal"	0.068153
"Chris Webber"	0.0679852
"George McCloud"	0.0675008
"Gary Payton"	0.0671258
"Doug Christie"	0.0667942
"GERONIMO BERROA"	0.0665542
"John Stockton"	0.0665363
"Heath Irwin"	0.0661613
"Eddie House"	0.0660178
"Karl Malone"	0.065729
"Ray Young"	0.0656115
"Vernon Maxwell"	0.0655911
"Doug Pederson"	0.0655491
Scoonie	0.0654756
"Mark Madsen"	0.0650333
"Teresa Weatherspoon"	0.0648467
"Arvydas Sabonis"	0.0646776
"Kevin Garnett"	0.0646208
"Jerome Kersey"	0.0643886
"Cliff Robinson"	0.0642476
"Nikki McCray"	0.0640021
"Howard Eisley"	0.0639806
"Corliss Williamson"	0.0637599
"Dawn Staley"	0.0636659
"Bill Haselman"	0.0636245
"Pat Verbeek"	0.0634619
"Rico Hines"	0.0634217
"Sam Mack"	0.0631582
"Mookie Blaylock"	0.0629539
"Luis Alicea"	0.0628664
"Jason Williams"	0.0627956
"Scott Zolak"	0.0625845
"Jeff Trepagnier"	0.0625697
"Derrick Coleman"	0.062496
"Luis Sojo"	0.0623232
Bordick	0.0623132
"Alonzo Mourning"	0.0621566
"Toby Bailey"	0.0620945
"Tim Hardaway"	0.0618006
"Mateen Cleaves"	0.0612637
"Ken Kocher"	0.0611179
"Rashard Lewis"	0.0610247
Iverson	0.0609689
"Chris Mullin"	0.0609357
"Avery Johnson"	0.0608831
"Bob Sura"	0.0607894
"John Wallace"	0.0605124
"Ray Allen"	0.0603678
"Everett McIver"	0.0601846
"Hersey Hawkins"	0.0598411
"Ronnie Bradford"	0.0597889
"Bruce Bowen"	0.0596533
"Bryce Drew"	0.0596465
"Rik Smits"	0.0595152
"Charles Haley"	0.0589998
"Kendall Gill"	0.0589953
"Luc Longley"	0.0589417
Gugliotta	0.058831
"Mike Jones"	0.0584395
Kidd	0.0582879
"Jamal Mashburn"	0.0581949
"Magic Johnson"	0.0581948
"Nate Newton"	0.0581825
"Kevin Willis"	0.0578134
))
("Brian Skinner" (desc 2001.19) (sims
"Maurice Taylor"	0.268134
"Tyrone Nesby"	0.239654
"Lorenzen Wright"	0.221037
"Eric Piatkowski"	0.207025
"Robert Traylor"	0.189092
"Rodney Rogers"	0.186352
"Lamond Murray"	0.185178
"Michael Olowokandi"	0.173727
"Kenny Thomas"	0.168635
"Lamar Odom"	0.168442
"Antawn Jamison"	0.159615
"Raef LaFrentz"	0.159376
"Jelani McCoy"	0.158944
"Sean Rooks"	0.155984
"Danny Fortson"	0.149456
"Matt Harpring"	0.147534
"Scot Pollard"	0.141778
"Grant Long"	0.14163
"Shawn Marion"	0.140914
"Antoine Carr"	0.13915
"John Wallace"	0.137138
"Kenyon Martin"	0.136612
"Samaki Walker"	0.132761
"Jarvis Turner"	0.132129
"Brian Scalabrine"	0.131587
"Rashard Lewis"	0.131313
"Etan Thomas"	0.131266
"Chris Gatling"	0.12607
"Gary Trent"	0.125966
"Brad Miller"	0.124589
"Gabe Muoneke"	0.124328
"Ruben Patterson"	0.124177
"Clifford Robinson"	0.122721
"Olli Jokinen"	0.122562
"Theo Ratliff"	0.122001
"Mark Madsen"	0.11919
"Elton Brand"	0.118726
"Chris Crawford"	0.116092
"Tamika Catchings"	0.116062
"Chris Porter"	0.115941
"Chris Mills"	0.115768
"Kevin Freeman"	0.11529
"Pat Garrity"	0.114458
"Michael Wright"	0.114392
"Sam Clancy"	0.114159
"Travis Knight"	0.113578
"Derrick Coleman"	0.112991
"Sean Farnham"	0.112252
"Patrik Stefan"	0.112221
"Joe Smith"	0.112119
"Chris Anstey"	0.111982
"Jumaine Jones"	0.111885
"Jerome Moiso"	0.110865
"Clarence Weatherspoon"	0.110699
"Chris Drury"	0.109807
"Manny Malhotra"	0.109376
"Corliss Williamson"	0.109241
"Ron Artest"	0.108002
"Derek Anderson"	0.107895
"Wally Szczerbiak"	0.107222
"Aaron Williams"	0.105201
"Alexei Kovalev"	0.105103
"Keith Van Horn"	0.104977
"Joe Thornton"	0.104773
"Kevin Willis"	0.104691
"Dirk Nowitzki"	0.104646
"Alan Henderson"	0.104327
"Shane Battier"	0.103863
"Michael Booker"	0.103697
"Kris Clack"	0.103265
"Donyell Marshall"	0.102748
"Vin Baker"	0.102637
"Blake Sloan"	0.102247
"Marcus Fizer"	0.102016
"Sherman Douglas"	0.101871
"Othella Harrington"	0.101364
"Bryon Russell"	0.10124
"Richard Jefferson"	0.101207
"DeLisha Milton"	0.100247
"Jonathan Bender"	0.100184
"Elden Campbell"	0.10014
"Mike Miller"	0.0999472
"Austin Croshere"	0.0995843
"Zydrunas Ilgauskas"	0.0994338
"Eric Murdock"	0.0992791
"Bonzi Wells"	0.0986145
"Chamique Holdsclaw"	0.0985782
"Danny Manning"	0.0978831
"Predrag Mijatovic"	0.0976371
"Mark Bryant"	0.0972952
"Aaron Gavey"	0.0970994
"Shane Doan"	0.0969341
"Antonio Davis"	0.096121
"Paul Pierce"	0.0955082
"Rico Hines"	0.0946429
"J.R Reid"	0.0938851
"Dickey Simpkins"	0.0938589
"Juwan Howard"	0.0937624
"Kurt Thomas"	0.0933425
"Rasheed Wallace"	0.0927031
"Jermaine O'Neal"	0.0923976
"Cedric Ceballos"	0.0919234
"Oliver Miller"	0.0918732
"Keith Tkachuk"	0.0918358
"JaRon Rush"	0.0915331
"Leon Smith"	0.090803
"Horace Grant"	0.0906779
"Ephraim Salaam"	0.0902487
"Theo Fleury"	0.0898646
"P.J Brown"	0.089015
"Richard Hamilton"	0.0888083
"Keith Brooking"	0.0887093
"Chris Taylor"	0.0886621
"Morris Peterson"	0.0881145
"Tim Thomas"	0.0880264
"Todd MacCulloch"	0.087914
"Robert Horry"	0.0876099
"Sergei Fedorov"	0.0870502
"Shawn Kemp"	0.0861668
"Lee Nailon"	0.0861
"Brian Grant"	0.0857751
"Charles Oakley"	0.0853636
"Jason Kapono"	0.085015
"John Avery"	0.0849407
"Mike Sullivan"	0.0849304
"Curtis Enis"	0.0846221
"Manny Fernandez"	0.0844143
"Dimitrius Underwood"	0.0833107
"CORIE BLOUNT"	0.0830749
"Michael Finley"	0.0827739
"Otis Thorpe"	0.0814764
"Faustino Asprilla"	0.0814319
"Brian Skrudland"	0.0813436
"Dale Davis"	0.0809943
"Bill Guerin"	0.0807311
"Cuttino Mobley"	0.080522
"Milan Hejduk"	0.0803582
"Chris Carrawell"	0.0801725
"Walt Williams"	0.0801476
"Dejan Savicevic"	0.0800367
"Matt Barnes"	0.0799881
"Anthony Mason"	0.0796659
"Peter Forsberg"	0.0793724
"Doug Gilmour"	0.0792606
"Shareef Abdur-Rahim"	0.0791123
"Alexei Yashin"	0.078942
"Ante Razov"	0.0789065
"Vladimir Stepania"	0.0788885
"Devean George"	0.0782722
"John Salley"	0.0780445
"Stern John"	0.0779627
"Rebecca Lobo"	0.0773936
"Juha Ylonen"	0.0771139
"Brian McBride"	0.0767761
"Christian Laettner"	0.0766047
"Jere Lehtinen"	0.076481
"Sean Elliott"	0.0761511
"Sheryl Swoopes"	0.0761007
"Matthew Barnaby"	0.0757894
"Tim Duncan"	0.0756587
"Jerome Kersey"	0.0748588
"Tom Gugliotta"	0.073894
"Michael Smith"	0.0737977
"Dan Gadzuric"	0.0733684
"Joe Juneau"	0.0731555
"Billy Owens"	0.072895
"Ron Mercer"	0.0728346
"Jason Allison"	0.0726492
"Brendan Shanahan"	0.0724704
"Tony Graziani"	0.0723186
"Tony Massenburg"	0.0723043
"Dallas Drake"	0.0722668
"Geoff Sanderson"	0.0717624
"Eric Wynalda"	0.0713786
"Tyronn Lue"	0.0711716
"Todd Harvey"	0.0708627
"Doug Weight"	0.070568
"Joe Sakic"	0.0705077
"Brian Griese"	0.0703822
"Detlef Schrempf"	0.0702259
"Vince Carter"	0.0700509
"Alen Boksic"	0.0696769
"SCOTT BURRELL"	0.0696714
"Charlie Batch"	0.0695616
"Pavol Demitra"	0.0688109
"Valeri Kamensky"	0.0688063
"Corey Maggette"	0.0684869
"Greg Adams"	0.0683697
"Jeremy Roenick"	0.0681941
"Oliver Bierhoff"	0.0680063
"Clint Mathis"	0.0674515
"Arvydas Sabonis"	0.0671021
"Tina Thompson"	0.0670725
"Matt Luke"	0.0669719
"Rick Tocchet"	0.0669596
"Damien Woody"	0.0669337
"George McCloud"	0.0667818
"Billy Knight"	0.0664998
"Ali Daei"	0.0664357
"Vlade Divac"	0.0662396
))
("Brian Skrudland" (desc 2881.33) (sims
"Craig Ludwig"	0.411916
"Guy Carbonneau"	0.402363
"Tony Hrkac"	0.402344
"Blake Sloan"	0.399336
"Pat Verbeek"	0.386163
"Dave Reid"	0.370301
"Jamie Langenbrunner"	0.370229
"Richard Matvichuk"	0.336174
"Shawn Chambers"	0.328345
"Grant Marshall"	0.320521
"Benoit Hogue"	0.32051
"Mike Keane"	0.309627
"Jere Lehtinen"	0.285731
"Joe Nieuwendyk"	0.271047
"Derian Hatcher"	0.263748
"Sergei Zubov"	0.250563
"Mike Modano"	0.244238
"Kirk Muller"	0.229314
"Darryl Sydor"	0.222525
"Aaron Gavey"	0.21888
"Derek Plante"	0.20616
"Brett Hull"	0.19426
"Scott Thornton"	0.185269
"Brenden Morrow"	0.167284
"Jon Sim"	0.155261
"Dale Hunter"	0.146281
"Ed Belfour"	0.143674
Carbonneau	0.140017
Langenbrunner	0.139173
"Greg Adams"	0.133432
"Mike Sullivan"	0.118285
"Kenny Thomas"	0.113115
"Adam Deadmarsh"	0.108631
"Hu Weidong"	0.106483
"Brian Scalabrine"	0.106254
"Joe Juneau"	0.106057
"Cliff Ronning"	0.105614
"Igor Larionov"	0.105164
"Lee Nailon"	0.104739
Modano	0.10421
Keane	0.103636
"Milan Hejduk"	0.102982
Nieuwendyk	0.10158
"Jeremy Roenick"	0.100605
"Vincent Damphousse"	0.100397
"Chris Drury"	0.0986831
"Chris Anstey"	0.0981253
"Kenyon Martin"	0.0974977
"Yao Ming"	0.0955077
"Hao Haidong"	0.0954234
"Predrag Mijatovic"	0.0945471
"Theo Fleury"	0.092981
"Tamika Catchings"	0.0926082
"Dejan Savicevic"	0.0918837
"Alexei Kovalev"	0.091546
"Hristo Stoichkov"	0.0906956
"Ray Ferraro"	0.0899447
"Ian Wright"	0.0898477
"Raef LaFrentz"	0.0888174
"Grant Long"	0.0874787
"Dave Manson"	0.0864176
"Roman Turek"	0.0862784
"Joe Sakic"	0.0854483
Verbeek	0.0853453
"Doug Weight"	0.0851796
"Olli Jokinen"	0.0845335
"Marcus Fizer"	0.0843534
"Sergei Fedorov"	0.0843425
"Alexei Yashin"	0.0838345
"Jason Allison"	0.0837121
"Brian McBride"	0.083688
"Herb Williams"	0.0836512
"Valeri Kamensky"	0.0827424
"Owen Nolan"	0.0818174
"Jarvis Turner"	0.0815218
"Brian Skinner"	0.0813436
"Gabe Muoneke"	0.0811221
"Donyell Marshall"	0.0808664
"Joe Thornton"	0.0808641
"Horace Grant"	0.0806472
"Stern John"	0.0801391
"Adrian Ilie"	0.0793838
"Pavol Demitra"	0.0789763
"Juha Ylonen"	0.0788564
"Corliss Williamson"	0.0784216
"Khodadad Azizi"	0.078112
"Jermaine O'Neal"	0.0780364
"Jason Kapono"	0.0777523
"Theo Ratliff"	0.0768424
"DeLisha Milton"	0.0764216
"Dejan Stankovic"	0.0762336
"Rebecca Lobo"	0.0758612
"Mike Miller"	0.0756718
"Peter Forsberg"	0.0756658
"Jumaine Jones"	0.0750813
"Kevin Freeman"	0.0748674
"Ted Donato"	0.0746493
"Derrick Coleman"	0.0745814
"CORIE BLOUNT"	0.0744402
"Michael Peca"	0.0743748
"Chris Porter"	0.0743057
"Sun Wen"	0.0741424
"Kevin Willis"	0.074139
"Pierre Turgeon"	0.0741016
"Raul Diaz Arce"	0.0738639
"Sean Elliott"	0.0736217
"Scot Pollard"	0.0734282
"Doug Gilmour"	0.0731524
Sydor	0.0730617
"Ante Razov"	0.0730073
"John LeClair"	0.0728719
"Juergen Klinsmann"	0.0725702
Romario	0.0723044
"Antoine Carr"	0.0722551
"Mark Madsen"	0.0721667
"Alexander Mogilny"	0.0717155
"Aaron Williams"	0.0716227
"Steve Rucchin"	0.0715693
"Al MacInnis"	0.0714747
"Ivan Zamorano"	0.0710326
"Todd Harvey"	0.0709732
"Joe Kleine"	0.0707994
"Michael Finley"	0.07074
"Manny Fernandez"	0.0706696
"Robert Traylor"	0.0704823
"Raul Gonzalez"	0.070263
"Rashard Lewis"	0.0702538
"Shane Battier"	0.0702435
"Jennifer Gillom"	0.0700982
"Dominique Wilkins"	0.0699631
Lehtinen	0.0699569
"Chris Taylor"	0.0699463
"Morris Peterson"	0.0698727
"Christian Laettner"	0.0697957
"Alen Boksic"	0.0697946
"Wang Zhizhi"	0.0697547
"Gheorghe Hagi"	0.069716
"Patrik Stefan"	0.0695683
"Terry Cummings"	0.0695679
"Jayson Williams"	0.0691428
"Keith Tkachuk"	0.0689649
"Mats Sundin"	0.0688342
"Dave Andreychuk"	0.0685907
"Harry Kewell"	0.0684702
"Shannon MacMillan"	0.0683919
"Wang Tao"	0.0683312
"Sam Perkins"	0.0676487
"Faustino Asprilla"	0.067273
"Travis Knight"	0.0672553
"Rick Tocchet"	0.0672024
"Etan Thomas"	0.0671574
"Dennis Bergkamp"	0.0668913
"Ali Daei"	0.0665648
"Hidetoshi Nakata"	0.0665094
"Gary Trent"	0.0663551
"Sean Rooks"	0.0660428
"Brendan Shanahan"	0.0658769
"Eric Lindros"	0.065796
"Nwankwo Kanu"	0.0656915
"Bobby Holik"	0.065619
"Antonio Davis"	0.0655718
"Bob Corkum"	0.0651389
"Shawn Marion"	0.0651359
"P.J Brown"	0.0649638
"Mark Messier"	0.0648445
"Ron Artest"	0.0648183
Matvichuk	0.0647746
"Michael Wright"	0.0646294
"Roberto Baggio"	0.0645627
"Paolo Di Canio"	0.0645033
"Jason Arnott"	0.0644978
"Cedric Ceballos"	0.064415
"Arvydas Sabonis"	0.0642869
"Travis Green"	0.0640258
"Jake Voskuhl"	0.0638685
"Lamond Murray"	0.0636823
"Tim Taylor"	0.0635175
"Danny Manning"	0.063453
"Chris Carrawell"	0.0629895
"Tyrone Nesby"	0.062733
"Patrick Kluivert"	0.0626828
"Ian Laperriere"	0.0625249
"Chris Crawford"	0.0624843
"Oliver Miller"	0.062328
"John Salley"	0.0620797
"Ken Hitchcock"	0.062079
"Matt Harpring"	0.0620341
"Shareef Abdur-Rahim"	0.0616917
"Steve Yzerman"	0.0616127
"Alan Henderson"	0.0615655
"Danny Fortson"	0.0615511
"Mark Bryant"	0.0613621
"Tony Amonte"	0.0613186
"Carlos Hermosillo"	0.0612332
"Luis Hernandez"	0.0611924
"Richard Jefferson"	0.0609774
"Clifford Robinson"	0.0607795
"Sam Clancy"	0.060764
"Petr Nedved"	0.0605909
"Sheryl Swoopes"	0.0605417
))
("Brian Watts" (desc 1992.76) (sims
"Justin Leonard"	0.163621
"Justin Rose"	0.159352
"John Daly"	0.155917
"Matt Kuchar"	0.148632
"Nick Faldo"	0.137196
"Jose Maria Olazabal"	0.132202
"David Duval"	0.130742
"John Cook"	0.130662
"Lee Janzen"	0.129226
"Hal Sutton"	0.128211
"Jim Furyk"	0.127037
"Shigeki Maruyama"	0.126498
"Fuzzy Zoeller"	0.124234
"Mark Calcavecchia"	0.123536
"Phil Mickelson"	0.120211
"Nick Price"	0.118815
"Mark O'Meara"	0.116779
Janzen	0.116413
"Payne Stewart"	0.116213
"Steve Pate"	0.115989
"Vijay Singh"	0.115486
"Tom Kite"	0.113218
"Mark Brooks"	0.113093
"Ernie Els"	0.111971
"Sergio Garcia"	0.111631
"Paul Azinger"	0.109619
"Ong Ewe Hock"	0.109525
"Tim Herron"	0.108163
"Bruce Fleisher"	0.107712
"Scott Goodyear"	0.107629
"Davis Love III"	0.107164
"Lee Westwood"	0.105428
"Fred Funk"	0.105115
"Fred Couples"	0.104865
"Colin Montgomerie"	0.103195
"Dong Jiong"	0.103125
"Stuart Appleby"	0.102478
Longo	0.100705
"Bernhard Langer"	0.100331
"Tom Lehman"	0.0980621
"HANK KUEHNE"	0.096531
"Scott Hoch"	0.0958107
"Hale Irwin"	0.0955039
"David Duke"	0.0943364
"Andrew Coltart"	0.0941262
"Greg Norman"	0.0938112
"Jeff Maggert"	0.0936215
"Steve Stricker"	0.0934829
"Gil Morgan"	0.0919856
"Scott Verplank"	0.0917469
Montgomerie	0.090336
"Chris Perry"	0.0889902
"John Huston"	0.087945
"Darren Clarke"	0.0870811
"Kim Taek Soo"	0.0868128
"Loren Roberts"	0.085901
O'Meara	0.0854116
"Paul Lawrie"	0.0853631
"Davis Love"	0.0851711
"Wang Nan"	0.0845497
"Stewart Cink"	0.0845328
"Chen Lu"	0.0843327
"Liu Guoliang"	0.0831355
"Tiger Woods"	0.0831079
"Helen Clark"	0.0828544
"Jack Nicklaus"	0.0806334
"Craig Parry"	0.0803514
"Jeff Sluman"	0.0798116
"Jarmo Sandelin"	0.0794548
"Bob Estes"	0.0792212
"Craig Stadler"	0.0777244
"Rainer Schuttler"	0.077339
Sautin	0.0772382
"Lee Trevino"	0.0761254
"Simon Archer"	0.0760133
Chuasiriporn	0.0754176
"Fred Brathwaite"	0.0754101
"Ma Lin"	0.0752614
"Frank Nobilo"	0.0751676
"Joseph Bruno"	0.0749411
"Amelie Mauresmo"	0.0745549
"Gennady Zyuganov"	0.0745255
"Mike Weir"	0.0744709
"Jesper Parnevik"	0.0739861
"Michael Weiss"	0.073951
Kasparov	0.0739328
"Peter Nicol"	0.073901
"Steve Jones"	0.0737234
Sugiyama	0.0731299
"Tom Watson"	0.0730127
"Fiona May"	0.0730061
"Jenny Chuasiriporn"	0.0727241
"Andrew Magee"	0.0721442
"Xavier Malisse"	0.0719491
"J.P. Hayes"	0.0718628
"Jorgen Persson"	0.0706612
"Yossi Sarid"	0.0704966
Nicol	0.0703408
"Inger Miller"	0.0700492
"Miguel Angel Jimenez"	0.0699695
"Garry Kasparov"	0.0698233
"Billy Mayfair"	0.0693496
Edberg	0.0691878
Kolzig	0.0690089
Montalvo	0.0689789
"Larry Nelson"	0.0686183
"Jan-Ove Waldner"	0.0682115
"Russian Yevgeny Kafelnikov"	0.0680468
Inkster	0.067884
"Hermann Maier"	0.067801
Mickelson	0.067683
Nicklaus	0.0675009
"Camilla Martin"	0.067306
Berasategui	0.067271
Rusedski	0.0669076
"Xanana Gusmao"	0.0668322
"Bobby Labonte"	0.0666557
"Se Ri Pak"	0.0665551
Furyk	0.0663764
"Brett Steven"	0.0659159
"Steve Elkington"	0.0656489
Appleby	0.0656419
Lehman	0.0655457
"Colin McRae"	0.0655351
"Anne-Gaelle Sidot"	0.0653108
Xavier	0.0651455
Hawkeyes	0.0651204
"Karrie Webb"	0.0649313
"Juli Inkster"	0.0645853
"Mark Philippoussis"	0.0644984
"Katja Seizinger"	0.0644644
"Corey Pavin"	0.0642785
"Andrei Medvedev"	0.0642541
"Annika Sorenstam"	0.0641841
"Olaf Kolzig"	0.0640556
"William Hague"	0.0640554
"Carlos Franco"	0.064026
Langham	0.0639529
"Peter Gade Christensen"	0.0638904
Watts	0.0637759
"Mia Audina"	0.0637159
"Padraig Harrington"	0.0637062
"Mariano Zabaleta"	0.0636886
"Yu Zhuocheng"	0.0632627
"Vojislav Kostunica"	0.0632076
"Nicole Pratt"	0.0629934
Pioline	0.0628204
Polgar	0.0627937
"Neville Godwin"	0.062784
"Wang Tao"	0.062754
"Phenix City"	0.0626761
"Jean-Philippe Gatien"	0.0626221
"Silvia Farina"	0.0625835
"Jansher Khan"	0.0625371
"Todd Martin"	0.0624974
"New York Liberty"	0.0623375
"MIka Hakkinen"	0.0623131
"Roger Federer"	0.0622619
"Dale Jarrett"	0.062151
el	0.062144
"Tom Dolan"	0.062105
Kuchar	0.0620237
"Gong Zhichao"	0.0620161
"Naoko Sawamatsu"	0.0619783
"Louis Farrakhan"	0.0615246
"Chen Jing"	0.0614956
"Filip Dewulf"	0.0614718
"Bob Tway"	0.0613616
Sanchez-Vicario	0.06133
"Casey Martin"	0.0612689
Susanti	0.061206
"Kim Batten"	0.0609629
"Mark Crear"	0.0609076
"Van Roost"	0.0608339
Alydar	0.06071
"Cedric Pioline"	0.0606236
"Andreas Vinciguerra"	0.0606013
"Deon Hemmings"	0.0605459
Stricker	0.0605138
"Sam Snead"	0.0604375
"Sebastien Grosjean"	0.0603515
"Curtis Strange"	0.0601713
"Nathalie Tauziat"	0.0601486
Bjorkman	0.0597259
Waldner	0.0595779
"Ai Sugiyama"	0.0594738
Stoltenberg	0.0594564
"Barbara Schett"	0.0593962
"Franco Squillari"	0.0593166
"Megawati Sukarnoputri"	0.0592952
"Guillaume Raoux"	0.0592557
"Svetlana Khorkina"	0.0591852
"Carlos Sainz"	0.0591094
"Joe Hamilton"	0.0590861
Duval	0.0589826
"Abraham Olano"	0.0588747
Gogel	0.0588642
"Goran Ivanisevic"	0.0588066
"Winning Colors"	0.0587875
"Liu Yong"	0.0586952
))
("Brian Williams" (desc 4296.84) (sims
"DOUG JONES"	0.142388
"Peter Jennings"	0.134899
"Tom Brokaw"	0.131086
"Bernard Shaw"	0.129973
"Russ Springer"	0.129797
"Tim Russert"	0.122453
"Byung-Hyun Kim"	0.119174
"Kazuhiro Sasaki"	0.119012
"Chris Holt"	0.115207
"Walter Cronkite"	0.114746
"Scott Elarton"	0.109795
"Jay Powell"	0.109316
"Al Levine"	0.107662
"Alan Embree"	0.107222
"Bryce Florie"	0.107061
"Paul Abbott"	0.10704
"Russ Ortiz"	0.10591
"Lou Dobbs"	0.10582
"Dan Rather"	0.10276
"Gregg Olson"	0.102699
"John Hudek"	0.101869
"Mark Gardner"	0.101657
"Steve Parris"	0.100635
"Keith Olbermann"	0.0999447
"Terry Adams"	0.0994909
"Mac Suzuki"	0.0994687
"Paul Shuey"	0.0994408
"Armando Reynoso"	0.099053
"Doug Henry"	0.0988914
"Woody Williams"	0.0987652
"Pat Rapp"	0.0977382
"Mark Petkovsek"	0.0970407
"Mike Timlin"	0.0961715
"Kevin Tapani"	0.0953815
"Mark Portugal"	0.0948433
"Matt Herges"	0.0927568
"Scott Williamson"	0.0921213
"Rick Aguilera"	0.0920985
"Mark Langston"	0.0920277
"Kirk Rueter"	0.091553
"Rudy Seanez"	0.0914701
"Pat Mahomes"	0.0911355
"Robb Nen"	0.0906822
"Brett Tomko"	0.0903313
"Mark Clark"	0.0903208
"Matt Mantei"	0.089629
"Jamie Arnold"	0.0896056
"Antonio Osuna"	0.0891905
"Rich Rodriguez"	0.0891363
"Danny Graves"	0.0891026
"Jim Corsi"	0.0889727
"Kevin Appier"	0.0884601
"Scott Radinsky"	0.0883123
"Octavio Dotel"	0.0878158
"John Wasdin"	0.0877953
"John Burkett"	0.0871985
"Mike Morgan"	0.0871312
"Jeff Nelson"	0.0870518
"Brett Hinchliffe"	0.0869721
"Ken Cloude"	0.0866965
"Jose Mesa"	0.0865984
"Charles Gibson"	0.0864977
"Omar Olivares"	0.0861971
"Greg McMichael"	0.085682
"Ramiro Mendoza"	0.0849501
"Rod Beck"	0.0849043
"Scott Karl"	0.0848975
"Chris Carpenter"	0.0845855
"Heathcliff Slocumb"	0.0842494
"Ron Villone"	0.0836069
"Steve Trachsel"	0.0833164
"Dave Mlicki"	0.0832802
"Mark Leiter"	0.0830756
"Randy Myers"	0.0827497
"Robinson Checo"	0.0823172
"Jason Christiansen"	0.0816348
"Kevin McGlinchy"	0.0816207
"Mike Fetters"	0.0815879
"Gary Brown"	0.0813348
"Jon Lieber"	0.0810457
"Turk Wendell"	0.080978
"Mike Stanton"	0.0808639
"Brian Bohanon"	0.0807862
"Jason Isringhausen"	0.0806038
"Shane Reynolds"	0.080416
"Dennis Martinez"	0.0799495
"Katie Couric"	0.0799219
"Pete Harnisch"	0.0798675
"Bruce Matthews"	0.0798516
"Brad Radke"	0.0797922
"Shigetoshi Hasegawa"	0.0795655
"Tim Belcher"	0.0792499
"Matt Morris"	0.0791437
"Ryan Dempster"	0.0788061
"Billy Taylor"	0.0777369
"Dwight Gooden"	0.0772274
"Gil Heredia"	0.0770298
"Phillippi Sparks"	0.0768717
"Jessie Armstead"	0.076823
"Tim Crabtree"	0.0767712
"Todd Stottlemyre"	0.076748
"Bill Wennington"	0.0765702
"Francisco Cordova"	0.0765354
"Ramon Ortiz"	0.0765038
"Orel Hershiser"	0.076493
"Brian Moehler"	0.076125
"Dave Wohlabaugh"	0.0759123
"Alan Mills"	0.0753505
"Terry Mulholland"	0.0753022
"Chan Ho Park"	0.0752762
"Mike Remlinger"	0.0752535
"Mike Williams"	0.0749798
"Brian Rose"	0.0747973
"Paul Byrd"	0.0742143
"Ricky Bottalico"	0.0741417
"Carl Pavano"	0.0735025
"Bret Saberhagen"	0.0731286
"Sean Bergman"	0.0730318
"Dan Miceli"	0.0730163
"Bob Costas"	0.0730149
"Mel Rojas"	0.0728511
"Frankie Rodriguez"	0.0727843
"Jeff Brantley"	0.0727048
"Jeff Zimmerman"	0.0726121
"Mike Magnante"	0.0725085
"Danny Patterson"	0.0724167
"Shawn Estes"	0.0722471
"Ted Koppel"	0.0721179
"Darren Holmes"	0.0720492
"Todd Jones"	0.0718891
"Dave Burba"	0.0718743
"Greg Swindell"	0.0717135
"Pedro Astacio"	0.0715091
"Dave Thomas"	0.0713238
"Javier Vazquez"	0.070878
"Lawrence Taylor"	0.0708594
"Livan Hernandez"	0.0706413
"Mike Holtz"	0.0705843
"Jose Jimenez"	0.0704357
"Andy Benes"	0.0703788
"Joey Hamilton"	0.0703671
"Pete Schourek"	0.0703432
"Pat Hentgen"	0.0701657
"Jose Lima"	0.0700612
"Willie Blair"	0.0699362
"Bob Wickman"	0.0698421
"Arthur Rhodes"	0.0698236
"Jesse Orosco"	0.0697205
"STEVE WOODARD"	0.0695204
"Esteban Loaiza"	0.0693298
"Rick White"	0.0693067
"Jamey Wright"	0.0689207
"Scott Erickson"	0.0688377
"Joe Kleine"	0.0686995
"Lorenzen Wright"	0.0686205
"Troy Percival"	0.0684434
"Rick Reed"	0.068443
"Kerry Ligtenberg"	0.0683764
"Armando Benitez"	0.068228
"Mark Guthrie"	0.0678736
"Pedro Borbon"	0.0678575
"Chris Calloway"	0.0677534
"Dickey Simpkins"	0.0675514
"Tim Wakefield"	0.0673178
"Oliver Miller"	0.0670353
"Connie Chung"	0.0669435
"Billy Wagner"	0.0667108
"John Halama"	0.0666543
"Jason Bere"	0.0666508
"Mike Judd"	0.06663
"Tom Candiotti"	0.0665459
"Gil Meche"	0.0664153
"Rich Garces"	0.0664021
"Allen Watson"	0.0663086
"Rolando Arrojo"	0.065882
"Kent Mercker"	0.0657865
"Jason Schmidt"	0.0655334
"Alex Fernandez"	0.0653307
"Hideki Irabu"	0.0653034
"Mark Wohlers"	0.0650243
"Donne Wall"	0.0649407
"Jaret Wright"	0.0642967
"Kent Graham"	0.0642376
"Francisco Cordero"	0.0641197
"Jack McDowell"	0.0640663
"Jose Paniagua"	0.0640566
"Eric Gagne"	0.0638939
"Doug Pederson"	0.06386
"Brian Scalabrine"	0.0636583
"Phil Simms"	0.0636498
"Joe Thornton"	0.0635231
"Darryl Kile"	0.0633413
"Jeff Weaver"	0.0632563
"Ismael Valdes"	0.0628184
Harnisch	0.0628134
"Kent Bottenfield"	0.0628072
"Bartolo Colon"	0.0625674
"Ugueth Urbina"	0.0620472
"Tom Gordon"	0.0619294
"Charles Nagy"	0.0618345
))
("Brian Wilson" (desc 1730.04) (sims
"Rolling Stones"	0.0797172
Yoakam	0.0792163
"Beach Boys"	0.0777904
Blondie	0.077
Wynonna	0.0764319
"Bruce Springsteen"	0.0742759
"George Harrison"	0.0731527
"Bob Dylan"	0.0669345
"Dolly Parton"	0.0661684
"Van Morrison"	0.0656622
Mellencamp	0.0603338
"Tom Petty"	0.0599559
"Led Zeppelin"	0.0581703
"Billy Joel"	0.0560344
Puente	0.0553008
Byrds	0.0552337
"Ruben Blades"	0.0534424
"Mick Jagger"	0.052754
Raitt	0.0520759
"Joni Mitchell"	0.0515812
Dion	0.0508092
Cleese	0.0507347
"Alice Cooper"	0.0498719
Eurythmics	0.0497788
"John Lennon"	0.0496205
"Igor Sergeyev"	0.0487785
Jayakumar	0.0483787
Morissette	0.0482428
"Mod Squad"	0.0479508
"Sugar Ray"	0.0478894
"Carly Simon"	0.0477736
"Diana Ross"	0.0475587
"Bob Marley"	0.0473437
Luc	0.0471952
"Stevie Wonder"	0.0471442
Habib	0.0471384
"Steely Dan"	0.0468063
"Tori Amos"	0.0464397
"Andreas Papandreou"	0.0462454
Metallica	0.0459168
"Tony Banks"	0.0455738
"Peony Pavilion"	0.0452049
Prokofiev	0.0448812
U@	0.0446982
"Pearl Jam"	0.044387
saxophonist	0.0443143
"Andy Kaufman"	0.0442817
Fuhr	0.0442696
"Shawn Colvin"	0.0439351
"Sartaj Aziz"	0.0437637
Bocelli	0.0436576
Britten	0.0426385
"Elvis Presley"	0.0424896
"Eric Clapton"	0.0424386
Baryshnikov	0.0420263
Evita	0.0419914
"Hugh Hefner"	0.0417987
MALICK	0.0417229
"Herbie Hancock"	0.0416727
"Wolfgang Schuessel"	0.0416415
"Mark Cuban"	0.041348
"Aretha Franklin"	0.0413408
lyricist	0.0412197
"Night Fever"	0.0411598
"Tom Jones"	0.0410351
"Elton John"	0.040845
Dandridge	0.0408154
Menuhin	0.0407853
Shatner	0.0403979
"Amazing Grace"	0.0403949
"Amnuay Virawan"	0.0403256
"I.K Gujral"	0.040021
))
("Briana Scurry" (desc 3597.33) (sims
"Joy Fawcett"	0.300366
"Julie Foudy"	0.268964
"Kristine Lilly"	0.26755
"Tom Presthus"	0.253323
"Carla Overbeck"	0.246089
"Cindy Parlow"	0.241142
"Kevin Hartman"	0.238172
"Kasey Keller"	0.226983
"Tiffeny Milbrett"	0.226401
"Brad Friedel"	0.222354
"Drazen Ladic"	0.221386
"Michelle Akers"	0.205338
"Brandi Chastain"	0.202732
"Zach Thornton"	0.200674
Taffarel	0.200134
"Angelo Peruzzi"	0.19587
"Mikhail Shtalenkov"	0.195517
"Peter Schmeichel"	0.188994
"Kate Sobrero"	0.183478
"Mia Hamm"	0.180255
"Fabien Barthez"	0.179525
"Jorge Campos"	0.178375
"Fred Brathwaite"	0.1703
"Steve Shields"	0.164559
"Walter Zenga"	0.158917
"David Seaman"	0.157205
"John Vanbiesbrouck"	0.153891
"Gianluca Pagliuca"	0.151497
"Jose Luis Chilavert"	0.146861
"Trevor Kidd"	0.145024
"Tommy Salo"	0.144467
"Jocelyn Thibault"	0.144394
"Tony Meola"	0.141952
"Arturs Irbe"	0.139233
"Mark Bosnich"	0.137054
"Tom Barrasso"	0.136139
"Sean Burke"	0.134901
"Norm Maracle"	0.1279
"Shannon MacMillan"	0.126487
"Manny Legace"	0.125285
Schmeichel	0.124576
"Jamie Storr"	0.123471
"Manny Fernandez"	0.123348
"Rob Tallas"	0.123098
"Roman Turek"	0.122792
"Chris Osgood"	0.121054
"Martin Brodeur"	0.119926
"Ron Tugnutt"	0.118447
"Guy Hebert"	0.11834
"Mike Richter"	0.117961
"Felix Potvin"	0.117803
"Dan Cloutier"	0.115833
scurry	0.11473
"Olaf Kolzig"	0.113878
"Patrick Roy"	0.111195
"Nikolai Khabibulin"	0.109372
Foudy	0.109046
"John Grahame"	0.107675
"Dominik Hasek"	0.106146
"Stephane Fiset"	0.105699
"Mike Vernon"	0.104861
"Damian Rhodes"	0.102508
"Byron Dafoe"	0.100646
Chilavert	0.0964847
"Bill Ranford"	0.0958415
"Curtis Joseph"	0.0941936
Fiset	0.093527
"Ed Belfour"	0.0926802
Zenga	0.0925577
DiCicco	0.0865197
"Grant Fuhr"	0.0843228
Campos	0.0772136
Shields	0.0733153
Tapia	0.0715265
Barrasso	0.0711345
"Richard Wright"	0.070126
goalkeeper	0.0691926
Hasek	0.0688476
Hebert	0.0641638
Durant	0.0638574
Chastain	0.0625058
Milbrett	0.0617906
Ince	0.0617582
Hamm	0.0599654
"Mike Dunleavy"	0.0586384
Salo	0.0583032
Ranford	0.0582696
Belfour	0.0569672
"Sun Wen"	0.0568033
"Dara Torres"	0.056473
Boucher	0.0563476
Dafoe	0.0560842
Storr	0.0559846
Bebeto	0.0550473
Grahame	0.0541359
Tarango	0.0540733
"Dave Brown"	0.053778
Osgood	0.0537524
Healy	0.0532999
"Phillippi Sparks"	0.052047
"Bobby Newcombe"	0.0520393
Roussel	0.0517314
Romario	0.0513259
"Kevin Mathis"	0.0513231
Lafleur	0.0511927
Brodeur	0.0510288
Silas	0.0505222
Dunleavy	0.0505059
Vanbiesbrouck	0.0504707
Feuer	0.0503605
"Todd Husak"	0.0501781
Legace	0.0501406
"Mark Boucher"	0.0497012
"Marcus Outzen"	0.049525
"Douglas MacArthur"	0.0493195
Sautin	0.0492512
"American Andre Agassi"	0.0487641
Keller	0.0486799
quadriceps	0.0486375
Richter	0.0482307
Zambrano	0.0473872
serviceman	0.0471818
Necaxa	0.0471732
"Jarvis Turner"	0.0466217
Kolzig	0.0459929
"Claudio Reyna"	0.0459832
businesswomen	0.045929
Gadzuric	0.0459169
"Walt Weiss"	0.0458259
"Ryan Kealy"	0.0456988
"Jack McDowell"	0.0456346
"Chris Drury"	0.0455645
Langham	0.0455064
"John Smoltz"	0.045435
"Eric Wynalda"	0.0451925
flexor	0.0448745
"Ron Brown"	0.0446067
"Robert E. Rubin"	0.044571
"Michael Weiss"	0.0443434
"Alexis Herman"	0.0442664
craven	0.0442156
"Mark Gardner"	0.0441367
"Drew Bennett"	0.0439377
Ordonez	0.0434675
Springbok	0.0433845
"Michael Johnson"	0.0432887
Roy	0.0432609
"Kent Mercker"	0.0429012
"Robin Fraser"	0.0425166
Bayern	0.0425117
"Department of State"	0.042426
"Igor Sergeyev"	0.0422521
"Donyell Marshall"	0.0421818
"Charlie Ward"	0.042145
Gambill	0.0421076
Tallas	0.042003
Tanui	0.0419507
"Zinedine Zidane"	0.0418877
"Alexi Lalas"	0.0418239
hat-trick	0.0418089
"Marion Jones"	0.0416043
Thibault	0.041556
"Ty Detmer"	0.0414242
"Jim Harrick"	0.0412066
"Roberto Baggio"	0.0410948
"Damon Huard"	0.0408013
"George Weah"	0.0407182
"naval officer"	0.0406587
Waddell	0.0405644
"Goran Persson"	0.0405281
Seaman	0.040505
Antley	0.0404392
"Brian McBride"	0.0404118
"Alan Henderson"	0.0403482
Zimmer	0.0403171
chipping	0.0400616
))
(bribe (desc 29715.2) (sims
kickback	0.249972
payoff	0.168985
"cash payment"	0.159776
Ransom	0.145773
bribery	0.145476
donation	0.135872
payment	0.125685
gift	0.121278
"ransom money"	0.120586
cash	0.120539
inducement	0.119906
contribution	0.116071
extortion	0.11482
compensation	0.111426
"hush money"	0.110787
embezzlement	0.108861
bonus	0.105018
fee	0.101749
money	0.100521
bribe-taking	0.0988498
"sum of money"	0.094723
restitution	0.0928537
vote-buying	0.0905384
"prize money"	0.0890829
fraud	0.0885157
subsidy	0.0884352
"tax evasion"	0.0870277
scholarship	0.0863542
gratuity	0.0860269
reward	0.0853729
sum	0.0852995
"insider trading"	0.0831683
loan	0.0831075
rebate	0.0827925
"legal fee"	0.0823001
salary	0.0817678
reimbursement	0.0816968
graft	0.0809721
fine	0.080729
Tuition	0.0805848
"money laundering"	0.0799538
misappropriation	0.0794571
allowance	0.0793603
blackmail	0.0792078
refund	0.0781259
royalty	0.0773613
corruption	0.0772902
"down payment"	0.0751613
pension	0.0746381
influence-peddling	0.0743942
tampering	0.0742003
incentive	0.0733934
forgery	0.0732824
theft	0.0731931
"financial aid"	0.0723766
rent	0.072127
bail	0.0717295
conspiracy	0.0713583
"amount of money"	0.0713452
tax	0.0707863
"stock option"	0.0707235
deposit	0.0706359
stipend	0.0701519
assistance	0.0700211
"pay cut"	0.0697514
dividend	0.0696043
"tax break"	0.0694977
proceeds	0.0691452
funding	0.0681695
racketeering	0.0677854
coercion	0.0676773
premium	0.067127
"mail fraud"	0.0671159
"tax credit"	0.0667464
wrongdoing	0.0661735
alimony	0.0655043
wage	0.0654531
"securities fraud"	0.0654414
favoritism	0.0648083
concession	0.0647851
cover-up	0.0646619
misconduct	0.0644919
debt	0.0644085
expense	0.0642272
"slush fund"	0.0640886
"nearly $@@@,@@@"	0.0638867
"personal loan"	0.0630518
credit	0.0627183
prize	0.0624471
manipulation	0.0624023
saving	0.0623721
irregularity	0.0623194
abuse	0.0622924
financing	0.0620167
impropriety	0.0608102
severance	0.0607351
handout	0.0607303
espionage	0.0604908
intimidation	0.0594939
"retirement benefit"	0.0594025
spying	0.059387
"medical bill"	0.059246
indemnity	0.0591268
harassment	0.058957
smuggling	0.0589253
"child support"	0.0586579
pledge	0.0585373
windfall	0.0582832
"tax deduction"	0.0580332
"election fraud"	0.0580229
income	0.0579487
profit	0.0576886
leniency	0.0565903
perjury	0.0562028
"credit line"	0.0561372
"war chest"	0.0559488
crime	0.0559462
kidnapping	0.0559394
ticket	0.0558263
paycheck	0.0557927
"income tax"	0.0557196
mismanagement	0.0556922
"grand larceny"	0.055516
receipt	0.0554764
negligence	0.0550731
hospitality	0.0549298
"million dollars"	0.0548888
collusion	0.0548423
voucher	0.054624
penalty	0.0545468
insurance	0.0545237
mortgage	0.0545066
jewelry	0.0543629
nepotism	0.0543244
bequest	0.0543047
arrears	0.0542659
bailout	0.0542023
"wage increase"	0.0541281
scheme	0.0541099
discount	0.0540823
purse	0.0540676
cocaine	0.0540506
violation	0.0540173
perk	0.0539954
dereliction	0.0537883
reparation	0.0535496
apology	0.0535278
robbery	0.0534602
infusion	0.0534047
"pay raise"	0.0532298
patronage	0.0530838
subversion	0.0529353
"capital gain"	0.0527829
price-fixing	0.0526582
"line of credit"	0.052636
asset	0.0526225
"armed robbery"	0.0524456
bounty	0.0524104
arson	0.0523727
payouts	0.0521736
collateral	0.0521459
malfeasance	0.0518338
"tax revenue"	0.0518223
misuse	0.051793
"price tag"	0.0516914
malpractice	0.0516241
"venture capital"	0.0514457
"food aid"	0.0514382
annuity	0.0513786
"drug trafficking"	0.0511944
inheritance	0.0510922
"licensing fee"	0.0510721
burglary	0.0509856
"stolen property"	0.0507454
overpayment	0.0507103
scam	0.0504834
deception	0.0504673
torture	0.0504225
"quid pro quo"	0.0504178
buyout	0.0502577
"sexual assault"	0.050248
payout	0.0500701
plea	0.049896
advice	0.0498755
wager	0.0497678
"bank account"	0.0497302
dowry	0.0497006
endorsement	0.0496432
rape	0.0496197
"face value"	0.0496061
savings	0.0495727
"job offer"	0.0495429
"about $@@ million"	0.0494464
dlrs	0.049275
"sexual harassment"	0.0492544
amnesty	0.0492373
increment	0.0491751
"medical care"	0.0490761
gift-giving	0.0489509
invoice	0.0487571
))
(bribe-taking (desc 2065.57) (sims
embezzlement	0.25969
misappropriation	0.235295
influence-peddling	0.233353
bribery	0.228532
"tax evasion"	0.223074
"insider trading"	0.195942
"mail fraud"	0.180592
forgery	0.176268
"breach of trust"	0.172809
"election fraud"	0.17111
tampering	0.158652
"money laundering"	0.158613
vote-buying	0.158212
"securities fraud"	0.15511
extortion	0.154798
malfeasance	0.152343
racketeering	0.151351
graft	0.150818
nepotism	0.142352
plagiarism	0.139164
subversion	0.134611
misuse	0.131205
cronyism	0.128473
mismanagement	0.126799
falsification	0.126219
espionage	0.12528
"tax avoidance"	0.122342
sodomy	0.121761
"grand larceny"	0.119146
treason	0.117724
molestation	0.117694
negligence	0.117028
irregularity	0.114847
"armed robbery"	0.114683
malpractice	0.11433
theft	0.114028
smuggling	0.113166
perjury	0.112254
larceny	0.112235
price-fixing	0.109349
rigging	0.108188
spying	0.108088
"child abuse"	0.108035
dereliction	0.107181
"assault and battery"	0.106679
"drug trafficking"	0.105399
kickback	0.104921
"high treason"	0.103695
wrongdoing	0.10308
obstruction	0.102801
dishonesty	0.101471
disloyalty	0.101217
sedition	0.101143
misconduct	0.0997207
"sexual assault"	0.0995137
stalking	0.0977397
complicity	0.0970675
trafficking	0.096875
mutiny	0.0955996
gunrunning	0.0951404
cover-up	0.094841
coercion	0.0948263
kidnapping	0.0911596
libel	0.0908488
coverup	0.0905067
evasion	0.0896682
blasphemy	0.0888908
maltreatment	0.0881187
criminality	0.0876825
prevarication	0.085272
"foul play"	0.0850337
"breach of contract"	0.084536
vandalism	0.0839482
burglary	0.0837111
defamation	0.0836202
mistreatment	0.0834942
piracy	0.0830854
manslaughter	0.083083
misbehavior	0.082944
intimidation	0.0821362
favoritism	0.0819199
impropriety	0.0816863
"sexual harassment"	0.0812826
illegality	0.0809773
chicanery	0.0804066
collusion	0.080085
unfairness	0.0786766
"drug use"	0.0786414
"lying under oath"	0.0785821
arson	0.0780685
"contempt of court"	0.0772797
incompetence	0.0771188
shoplifting	0.0768977
infringement	0.0759428
misrule	0.0751239
enrichment	0.0747378
prostitution	0.0742505
misdeed	0.0741671
Concealment	0.0735081
"juvenile delinquency"	0.0734306
incitement	0.0733517
"war crime"	0.0730794
Indiscipline	0.0721989
"drug traffic"	0.0721476
immorality	0.0713307
blackmail	0.0707946
leakage	0.070741
hijacking	0.0703287
"disorderly conduct"	0.0701678
formalism	0.0696116
rowdiness	0.06946
fixing	0.0693718
laundering	0.0689753
inefficiency	0.0683672
banditry	0.0679597
"false statement"	0.0679533
heresy	0.0670442
hooliganism	0.0663572
misrepresentation	0.0661308
"drug abuse"	0.0653042
adultery	0.0645877
noncompliance	0.0637906
Truancy	0.0632119
recidivism	0.0625758
overuse	0.0621732
"alcohol abuse"	0.0620934
incest	0.0620896
infanticide	0.0616374
felony	0.0615198
abduction	0.0610871
infidelity	0.0601017
deception	0.0591308
lawlessness	0.0584183
squandering	0.0581147
"sex act"	0.0578906
Disobedience	0.0565168
looting	0.0565115
deceit	0.0563947
"stolen property"	0.0552453
authoritarianism	0.0547347
thievery	0.0542831
endangerment	0.0542158
insubordination	0.0532333
offence	0.0530229
stonewalling	0.0526998
thuggery	0.0525141
"hush money"	0.0514079
anti-Semitism	0.0506685
"plant disease"	0.0491009
infiltration	0.048935
disorganization	0.0488333
"Eric Rudolph"	0.0482217
encroachment	0.0480326
"Entebbe International Airport"	0.0473995
destitution	0.0470198
indecency	0.0468306
poaching	0.0465989
drunkenness	0.0465057
withholding	0.0454338
wrongdoer	0.0450995
malice	0.0449268
patronage	0.0445355
vandalization	0.0445045
despotism	0.0441911
break-in	0.0435802
"arms deal"	0.0430058
separatism	0.0426054
gunplay	0.0424711
victimization	0.0422735
hoarding	0.0418292
"fraud charge"	0.0416498
"Matthew Eappen"	0.0415224
pedophilia	0.0408623
deforestation	0.0405305
"mass murder"	0.0400672
))
(bribery (desc 23933.8) (sims
racketeering	0.315673
embezzlement	0.305719
extortion	0.296469
"tax evasion"	0.287134
fraud	0.270646
"mail fraud"	0.269693
"money laundering"	0.266253
"securities fraud"	0.241468
"insider trading"	0.240991
graft	0.232586
corruption	0.230863
forgery	0.228623
bribe-taking	0.228532
conspiracy	0.218752
perjury	0.21814
theft	0.217138
misconduct	0.209874
treason	0.205206
tampering	0.202708
espionage	0.198698
sodomy	0.196844
kidnapping	0.19094
obstruction	0.190934
"grand larceny"	0.1852
vote-buying	0.182866
manslaughter	0.180566
"drug trafficking"	0.179264
abuse	0.178868
burglary	0.178812
rape	0.177667
"sexual assault"	0.175422
kickback	0.174875
smuggling	0.174558
larceny	0.174267
irregularity	0.173166
"child abuse"	0.170194
arson	0.168717
robbery	0.164603
murder	0.164567
sedition	0.161711
wrongdoing	0.161567
misuse	0.159763
"armed robbery"	0.157006
misappropriation	0.154689
negligence	0.154577
"sexual harassment"	0.152033
spying	0.151845
trafficking	0.151182
influence-peddling	0.15008
malpractice	0.14945
harassment	0.148564
impropriety	0.147283
intimidation	0.145935
bribe	0.145476
blackmail	0.144271
prostitution	0.143908
homicide	0.142872
coercion	0.142568
nepotism	0.141359
molestation	0.141324
subversion	0.140822
crime	0.140034
"war crime"	0.139233
felony	0.138508
"breach of trust"	0.137376
mismanagement	0.136946
violation	0.136464
piracy	0.135877
torture	0.135033
hijacking	0.133792
dereliction	0.133046
"election fraud"	0.13279
cronyism	0.131319
vandalism	0.130792
"organized crime"	0.130396
collusion	0.128232
assault	0.126901
"assault and battery"	0.126832
malfeasance	0.126552
"fraud charge"	0.126445
libel	0.126398
price-fixing	0.126061
manipulation	0.126054
genocide	0.125505
terrorism	0.124172
cover-up	0.12211
abduction	0.120913
falsification	0.120728
adultery	0.119032
discrimination	0.116676
gambling	0.116005
shoplifting	0.115612
"high treason"	0.114968
plagiarism	0.114305
gunrunning	0.112989
favoritism	0.112985
"disorderly conduct"	0.111662
sabotage	0.110681
mutiny	0.1104
complicity	0.109854
defamation	0.109733
looting	0.109254
endangerment	0.109199
"murder charge"	0.108976
"contempt of court"	0.108081
neglect	0.106764
"drug use"	0.106364
infringement	0.106201
deception	0.105749
misdemeanor	0.104889
"lying under oath"	0.103921
dumping	0.103201
"drug abuse"	0.103081
"foul play"	0.102515
killing	0.101146
coverup	0.101101
stalking	0.100987
rigging	0.100785
indecency	0.0999742
evasion	0.0997036
incitement	0.0995286
brutality	0.099177
racism	0.0990964
incompetence	0.0980522
illegality	0.0967249
possession	0.0960574
violence	0.0951456
"breach of contract"	0.0943633
offence	0.094083
criminality	0.094049
pornography	0.0930012
"stolen property"	0.0926328
contempt	0.0921611
fixing	0.091876
count	0.0917459
slaying	0.0909589
assassination	0.0907046
trespass	0.0906792
atrocity	0.0896029
slander	0.0893899
breach	0.0893425
"false statement"	0.0892105
solicitation	0.0888519
cruelty	0.0885725
dishonesty	0.0880709
payoff	0.0880097
misdeed	0.0877364
driving	0.0877269
deceit	0.0867965
involvement	0.086597
blasphemy	0.0865239
beating	0.0853369
bias	0.0851576
"mass murder"	0.0842354
scam	0.0836745
incest	0.083232
offense	0.0815848
Whitewater	0.081503
scandal	0.0814185
misbehavior	0.081077
hooliganism	0.0808295
interference	0.080499
mischief	0.0804207
Concealment	0.0803569
disloyalty	0.0803176
allegation	0.078657
mistreatment	0.0782061
"juvenile delinquency"	0.0768397
"corruption scandal"	0.0758786
poaching	0.0757685
gift-giving	0.0748118
narcotic	0.0747703
infraction	0.0745008
misrepresentation	0.0744288
persecution	0.0740234
infanticide	0.073799
activity	0.0734757
enrichment	0.0729134
bombing	0.0715177
thuggery	0.0714884
drug	0.0700352
scheme	0.0698339
desertion	0.0697713
anti-Semitism	0.0694578
accusation	0.0686486
laundering	0.0684851
break-in	0.068454
massacre	0.0682983
dealings	0.0681064
insurrection	0.0679041
chicanery	0.0677734
misrule	0.067617
Indiscipline	0.0675469
poisoning	0.0672766
heresy	0.0672174
indictment	0.0670419
greed	0.066897
sleaze	0.0666709
leak	0.06658
aggression	0.0665001
))
(bric-a-brac (desc 1205.06) (sims
"picture frame"	0.104783
"bathroom fixture"	0.101236
"wall hanging"	0.0806371
statuary	0.0793458
housewares	0.0755496
bedding	0.0740599
"oil painting"	0.0708984
woodcut	0.0705814
"lighting fixture"	0.0695048
vas	0.0689463
knickknack	0.0662116
tableware	0.0651836
embroidery	0.0650616
bronzeware	0.0650003
dinnerware	0.0606125
"hot plate"	0.0572786
beading	0.056405
"kitchen appliance"	0.0561633
"sports equipment"	0.0560619
silverware	0.0550803
memento	0.0546133
"tea set"	0.0540431
keepsake	0.0510233
flooring	0.0507871
kitchenware	0.0507319
metalwork	0.0500997
candelabra	0.0490777
upholstery	0.0476049
engraving	0.0469608
parquet	0.0468894
glassware	0.0467537
reportage	0.0456827
knitwear	0.0452143
"scientific instrument"	0.0443576
lithograph	0.0443031
"detective work"	0.0442553
brooch	0.0438477
Supercenters	0.0436771
defroster	0.0432896
"Brandenburg Gate"	0.0428545
"life jacket"	0.0426227
gingham	0.0424654
"home appliance"	0.0423018
gouache	0.0419344
"sheet music"	0.041894
drapery	0.04157
))
(brick (desc 45939.3) (sims
stone	0.1797
Concrete	0.177305
tile	0.175967
plaster	0.145125
stucco	0.135072
glass	0.120211
marble	0.117064
rock	0.114761
granite	0.114668
limestone	0.112202
cement	0.111069
firebomb	0.109982
slab	0.105926
plastic	0.105529
wood	0.104576
sandstone	0.103939
metal	0.103061
debris	0.100785
steel	0.100643
gravel	0.0979664
asphalt	0.0975466
bottle	0.0975153
paint	0.0955691
"Molotov cocktail"	0.0947642
sand	0.0934092
wall	0.0932562
pipe	0.0931321
furniture	0.0929242
siding	0.0925739
dirt	0.091764
mud	0.0910347
clay	0.0896341
lumber	0.0893217
block	0.0892775
Shell	0.0890587
shingle	0.0887816
Plywood	0.0885275
timber	0.0880634
"cinder block"	0.0874296
sandbag	0.087083
log	0.0870119
Pottery	0.0857891
object	0.0855151
insulation	0.0847066
Boulder	0.0837484
mortar	0.0829427
fabric	0.0826556
cardboard	0.0823598
rubble	0.0819439
cloth	0.0813823
facade	0.0812509
shrapnel	0.0803965
wallboard	0.0800886
Tower	0.0800877
shard	0.0795464
carpet	0.0794411
beam	0.0791477
Coin	0.0788102
ceramic	0.078677
clapboard	0.0773481
building	0.0772876
piece	0.0770779
"building material"	0.0769076
roof	0.0768557
"beer can"	0.0758235
stick	0.0751525
bag	0.0747986
bone	0.0747168
sculpture	0.0746527
sheet	0.074261
aluminum	0.0738018
material	0.0734197
brownstone	0.0727365
tree	0.0725417
canister	0.0721415
flower	0.071724
structure	0.0713472
plank	0.0713195
tire	0.0711398
pebble	0.070981
dwelling	0.0709094
"beer bottle"	0.0707522
frame	0.0704654
drywall	0.0695417
statue	0.0692057
"baseball bat"	0.0689022
dust	0.0687238
iron	0.0685639
egg	0.0684692
rod	0.0683327
chair	0.0682084
Garbage	0.0680502
chunk	0.0678418
rug	0.0677743
"stainless steel"	0.0676451
storefront	0.0676134
container	0.0675345
box	0.0674237
rubber	0.0673893
bomb	0.0670503
foam	0.0666276
blanket	0.0663428
wire	0.0662969
bullet	0.066269
vinyl	0.0662614
ash	0.0662163
mosaic	0.0660046
hut	0.0659028
flooring	0.0658828
nail	0.0657601
bamboo	0.0656276
window	0.0654245
leaf	0.0653637
pane	0.0650304
plate	0.0649426
pot	0.0647646
"stone wall"	0.064469
Grenade	0.0644363
porcelain	0.0643728
lamp	0.0643646
scaffolding	0.0643502
girder	0.0643438
Tin	0.0642999
towel	0.0641711
floor	0.0640708
"terra cotta"	0.0639585
skin	0.063236
house	0.06297
helmet	0.0627126
stele	0.062386
ceiling	0.0623733
fresco	0.0623658
mattress	0.0622333
tomb	0.0618867
paneling	0.0618711
bead	0.0618566
chimney	0.0615966
fragment	0.0613219
mural	0.06119
Clothing	0.0610995
soil	0.0610879
leather	0.0609213
charcoal	0.0608553
carpeting	0.0605488
mirror	0.0604631
Straw	0.0604593
knife	0.0604245
shoe	0.0604057
quilt	0.0604012
grass	0.060306
Hammer	0.0602438
bungalow	0.0599923
ICE	0.0599597
jade	0.0599487
fiberglass	0.0598576
paper	0.0598182
"water bottle"	0.0596245
casing	0.0594759
trash	0.0593802
figurine	0.0593781
carton	0.0593332
layer	0.0592751
tablet	0.059165
toy	0.0586775
tank	0.0586017
"explosive device"	0.0585887
shirt	0.0585551
silk	0.0585037
carving	0.0584936
coffin	0.058428
pellet	0.0582953
ball	0.0580121
tube	0.0579544
jewelry	0.0579181
"mobile home"	0.0579058
painting	0.0578999
Plexiglas	0.0578941
hair	0.0577095
"tree branch"	0.0576883
textile	0.0576411
surface	0.0574372
door	0.0573672
bat	0.0572291
"ranch house"	0.0572131
fruit	0.0570685
bar	0.0570595
balloon	0.0569503
tent	0.0569447
Coal	0.0567621
glassware	0.0566483
chemical	0.0561577
adobe	0.0561446
garage	0.0559877
item	0.055961
bark	0.0558407
ornament	0.0557759
crate	0.055701
rubbish	0.0556782
"sheet metal"	0.0556285
plaque	0.0555688
))
(bricklayer (desc 2313.68) (sims
electrician	0.177457
welder	0.172941
"house painter"	0.158044
plumber	0.136114
seamstress	0.129715
landscaper	0.126125
carpenter	0.121618
steelworker	0.114655
fisherman	0.109741
repairman	0.109085
roofer	0.107863
blacksmith	0.107347
stuntman	0.106759
machinist	0.104824
mailman	0.0998284
schoolteacher	0.0962924
stewardess	0.0943683
butcher	0.0906739
"day laborer"	0.090478
janitor	0.0891685
sharecropper	0.0885206
"truck driver"	0.0876932
handyman	0.0873224
"army engineer"	0.0847518
"traveling salesman"	0.0843913
paralegal	0.0839588
newspaperman	0.0821833
laborer	0.081903
"school teacher"	0.0815638
internist	0.0808625
firefighter	0.0794392
landscapers	0.0794008
stockbroker	0.0793081
infantryman	0.0784613
copywriter	0.0779533
painter	0.0779515
bookkeeper	0.0764734
fireman	0.0758839
"management consultant"	0.0758654
accountant	0.0748916
"John J. Gotti"	0.0734955
"interior designer"	0.0722796
"real estate agent"	0.0722212
weatherman	0.0720843
acupuncturist	0.0719336
homemaker	0.0717288
"altar boy"	0.070363
"insurance agent"	0.0702183
"bus driver"	0.0700759
"test pilot"	0.0694901
cabdriver	0.0693071
"school superintendent"	0.0691394
"school principal"	0.0690457
lifeguard	0.0689017
"math teacher"	0.0685026
Atlantan	0.0683781
"coal miner"	0.0683615
"music teacher"	0.0681853
sculptor	0.0680047
"computer programmer"	0.0680005
"certified public accountant"	0.0679356
"naval officer"	0.0671211
"aerospace engineer"	0.0669037
jeweler	0.0668551
woodworker	0.066731
"letter carrier"	0.0662556
caddie	0.0658002
cabinetmaker	0.0656895
"registered nurse"	0.0656175
"A.P Indy"	0.0649636
"social worker"	0.0648186
"English teacher"	0.0645689
"drama critic"	0.0645143
"account executive"	0.0643096
dentist	0.0641799
watchman	0.0641663
"shop assistant"	0.0641616
sportswriter	0.0640752
maid	0.0640197
beautician	0.0634861
"real estate broker"	0.0633688
shopkeeper	0.0632777
"police sergeant"	0.062945
bellhop	0.0629211
waitress	0.0629065
"farm boy"	0.0628458
"car dealer"	0.0627277
cinematographer	0.0626101
"civil engineer"	0.0624525
"software engineer"	0.0618704
"air force officer"	0.0614608
"maintenance man"	0.0605733
Bostonian	0.0603532
Seaman	0.0602237
"investment banker"	0.0600295
"factory worker"	0.0599729
pharmacist	0.0598172
"lieutenant colonel"	0.0592932
foreman	0.0592534
Kurd	0.0592255
"Julius Erving"	0.058847
"police captain"	0.0587392
"English professor"	0.0587368
"sea captain"	0.0584555
scriptwriter	0.0584514
quadriplegic	0.0582087
"electrical engineer"	0.057961
housekeeper	0.0578389
exterminator	0.0577475
"military man"	0.0573925
violinist	0.0572282
outdoorsman	0.0571378
enlistee	0.0568412
seminarian	0.0566479
geophysicist	0.0565919
"pitching coach"	0.0565326
craftsman	0.0564785
illustrator	0.0561157
serviceman	0.0561027
"home builder"	0.0560573
grinder	0.0560435
chiropractor	0.055997
"police detective"	0.0559363
whore	0.0557175
biochemist	0.0557072
"staff sergeant"	0.0555794
"funeral director"	0.0554079
temp	0.05522
"prison guard"	0.0551587
fifth-grader	0.054926
Profiler	0.0548969
restaurateur	0.0548221
manicurist	0.0548194
"Phil Simms"	0.0545782
"art student"	0.0545253
"newspaper editor"	0.0544309
"farm worker"	0.0544199
"mechanical engineer"	0.0543742
kayaker	0.0543024
bodybuilder	0.05395
missionary	0.0538919
cantor	0.0538631
corporal	0.0537585
"Navy Seal"	0.0536244
trainee	0.053477
organist	0.0533782
grocer	0.0533113
"graphic artist"	0.0531089
vaulter	0.053077
bitch	0.053029
Sergeant	0.0528897
receptionist	0.0526105
"landscape architect"	0.0525985
"married man"	0.0525604
"Black Panther"	0.0525532
"eagle scout"	0.0524984
alderman	0.0522046
"football coach"	0.0521344
stripper	0.0520619
custodian	0.0519625
"police lieutenant"	0.0519579
"lieutenant general"	0.0516092
oilman	0.0514207
housewife	0.0513603
"Mario Cuomo"	0.051284
"eye doctor"	0.0512257
paraplegic	0.0511719
chauffeur	0.0511005
Industrialist	0.0510888
cameraman	0.0510833
steward	0.0510454
Barber	0.0509461
"batting coach"	0.0509199
"Omar Torrijos"	0.0508728
"tax collector"	0.0507632
"jazz musician"	0.0507565
"Indira Gandhi"	0.0506885
"interior decorator"	0.0506344
medic	0.0505856
"art historian"	0.0505805
librarian	0.0505646
"foreign service officer"	0.0505613
"heart surgeon"	0.0504687
artisan	0.0502971
"Southern Baptist"	0.0502874
postman	0.0502564
peddler	0.0501829
"Michael Gambon"	0.0500919
abbot	0.050063
newsman	0.0500058
caretaker	0.0499873
fabricator	0.0499434
widower	0.0496175
stagehand	0.0496094
Deacon	0.0495927
Realtor	0.0493387
beekeeper	0.0489637
newscaster	0.0489125
transsexual	0.0487986
"security consultant"	0.0487238
))
("bricks and mortar" (desc 1587.4) (sims
generics	0.0739713
non-Indian	0.065979
"cinder block"	0.0640576
compounding	0.0622476
"building product"	0.0598649
"mail order"	0.0595265
reinsurance	0.0584289
"voting machine"	0.0580364
"fishing license"	0.0578891
signage	0.0577059
widget	0.0573083
"elbow room"	0.057261
"computer equipment"	0.0568934
Emeryville	0.0563507
"golf equipment"	0.0563378
emulator	0.0561873
"money order"	0.0550557
videogame	0.0549743
"pet food"	0.0544475
multichannel	0.0537618
cost-conscious	0.0536074
pan-European	0.053059
cookware	0.0528805
"three pitchers"	0.0525559
"penny stock"	0.0521569
sportswear	0.0521416
flooring	0.0520557
Needham	0.0519267
non-American	0.0517696
timberland	0.0511992
photocopier	0.050841
easement	0.0507629
"high street"	0.0507495
sandbag	0.050594
"precious metal"	0.0501829
"hearing aid"	0.0499143
"warm front"	0.0496003
"parcel of land"	0.0489861
"athletic facility"	0.0487736
shredders	0.0487372
"breathing room"	0.0485547
"grazing land"	0.0484223
"pen pal"	0.0482011
"Jenny Jones Show"	0.0481622
multilevel	0.0477873
collaborative	0.0477152
"laser printer"	0.0476935
"wireless telephone"	0.0475734
optic	0.0475296
truss	0.0474822
hands-on	0.0473466
"electric car"	0.0473256
filtering	0.0473248
"geographical area"	0.0472454
"specialty chemical"	0.0468915
"frozen food"	0.0467365
suture	0.0466298
"consumer electronics"	0.0465073
lingerie	0.0462295
"mainframe computer"	0.0461914
"spare time"	0.0459478
two-step	0.0459415
willpower	0.0459309
Swimwear	0.0457486
"Albanian Kosovars"	0.0455381
B@B	0.0455053
"household product"	0.0453527
baserunners	0.0451666
hGH	0.0449031
eyewear	0.0448621
"Lincoln Bedroom"	0.0447155
cyber	0.0446792
telemarketing	0.0445937
"power tool"	0.0444938
"test equipment"	0.0444812
stethoscope	0.044296
copier	0.0442541
mainframe	0.0435052
Firewood	0.0433237
"B&AMP;B"	0.043136
lubricant	0.04299
"motor oil"	0.0428831
"computer hardware"	0.0425333
"World Bank Group"	0.0423019
clime	0.0422925
minibuses	0.0421032
"vacuum cleaner"	0.0419646
Steinway	0.0419545
"hand tool"	0.0416358
"yellow pages"	0.0415496
"pinball machine"	0.041527
menswear	0.0415111
scalpers	0.0414847
backhoe	0.0414398
"table of contents"	0.0413978
declassification	0.0413584
"greeting card"	0.0412589
"creature comforts"	0.0411999
dot.com	0.0411451
shui	0.0410256
"office furniture"	0.0410009
fallback	0.0409102
CCF	0.0408426
"life insurance"	0.0408153
autoworkers	0.0407778
bugaboo	0.0407357
"car insurance"	0.0407238
gravel	0.0405746
"oil slick"	0.0404402
"fortune cookie"	0.0403238
stationery	0.0402817
"free time"	0.0402034
"sports equipment"	0.040082
"paper cup"	0.0400313
))
(Brickyard (desc 2387.97) (sims
Indy	0.169981
NHIS	0.165168
Pocono	0.154292
Daytona	0.140956
Martinsville	0.136821
Pir	0.135027
Irwindale	0.134505
Talladega	0.129273
"Le Mans"	0.119947
"Busch Grand National"	0.119933
TM	0.11718
"Atlanta Motor Speedway"	0.116506
Darlington	0.115167
Rockingham	0.107251
"Busch Series"	0.105502
"Charlotte Motor Speedway"	0.10415
"Brickyard @@@"	0.1029
"Daytona @@@"	0.102876
"Texas Motor Speedway"	0.101917
"Sears Point"	0.101158
IMS	0.0998123
"Michigan Speedway"	0.0968902
"Indianapolis Motor Speedway"	0.0958811
"Western Open"	0.0936859
"Pikes Peak"	0.093386
Monza	0.0907266
"Phoenix Open"	0.0904777
"Santa Anita"	0.0857759
"first cup"	0.0828888
"Watkins Glen"	0.0827861
"Top Fuel"	0.0820885
Busch	0.0820744
"Pepsi @@@"	0.0810936
"Australian Open"	0.0796752
"Fair Grounds"	0.0792049
"U.S. Amateur"	0.0790988
Dover	0.078758
"New Hampshire International Speedway"	0.078706
"London Marathon"	0.078127
"Olympic Trials"	0.0775597
"NASCAR Winston Cup"	0.0772299
Iditarod	0.0764075
"California Speedway"	0.0755256
"Winston Cup"	0.0750039
"Gold Cup"	0.0745422
PRIMESTAR	0.0742433
"Santa Anita Derby"	0.0737153
Suzuka	0.073333
"Motor Speedway"	0.0732308
"Boston Marathon"	0.0730865
"Millrose Games"	0.0713488
"FA Cup"	0.0710984
"Kentucky Derby"	0.0706369
"Indy @@@"	0.0703311
Seven-time	0.0701047
"American League West"	0.0699832
parquet	0.0695172
"Arkansas Derby"	0.0685588
Lipton	0.0685176
"NL Central"	0.06842
"Preakness Stakes"	0.0680749
"AFC West"	0.0680397
SkyDome	0.0669989
"Hollywood Park"	0.0660161
"French Open"	0.0659937
"Comiskey Park"	0.0659417
speedway	0.0645407
"Gulfstream Park"	0.0639134
"F.A Cup"	0.0638307
"Little League World Series"	0.0625368
"SEC East"	0.0624285
"Daytona International Speedway"	0.0624093
AMs	0.061801
Saratoga	0.0609686
Ironman	0.0609385
"Paris Open"	0.0607408
Bristol	0.0606115
"British Open"	0.0606053
"Central Division"	0.0605061
"United States Open"	0.0604144
"Players Championship"	0.0602649
CONCACAF	0.0602555
"Nagano Winter Olympics"	0.0601145
"Roland Garros"	0.0600823
"Nissan Open"	0.0597677
"Churchill Downs"	0.05976
"Pebble Beach"	0.0597341
"Bay Hill"	0.0596872
"Loch Lomond"	0.0589787
"Pan Pacific"	0.0587736
"Pacific Classic"	0.0586615
"Eclipse Award"	0.0582753
"Southeast Asian Games"	0.0581698
homestead	0.0580176
"Tour de France"	0.0578316
"Suffolk Downs"	0.0575326
"NL East"	0.0575138
"Veterans Stadium"	0.0574326
Preakness	0.0573452
Giro	0.0573359
Carnoustie	0.0573145
PGA	0.056997
"false teeth"	0.0568796
"Talladega Superspeedway"	0.0566664
"Pinehurst No. @"	0.0566526
"Grand National"	0.0566221
Loudon	0.0565102
"Mastercard Colonial"	0.056469
"Las Vegas Motor Speedway"	0.0564499
Belmont	0.0564128
"Grammy Awards"	0.0561814
Gulfstream	0.0561426
"British Grand Prix"	0.0558818
"AFC Central"	0.0558779
"Florida Derby"	0.0553028
"AL Central"	0.0551543
"Pan Ams"	0.0549882
Heisman	0.0549339
"Del Mar"	0.0546599
"Stade Velodrome"	0.0546174
"National League West"	0.0541277
"Jacobs Field"	0.0539662
"Old Course"	0.0539483
"Nagano Olympics"	0.0538675
"College World Series"	0.0537718
Aqueduct	0.053466
"Hollywood Gold Cup"	0.0534301
"Funny Car"	0.0530123
six-time	0.0529537
"Oaklawn Park"	0.0527663
IRL	0.0526653
"Blue Grass"	0.0525534
"European Champions Cup"	0.0524732
"German Open"	0.0523453
"Atlanta Olympic"	0.0523128
"Lone Star"	0.0523044
nine-time	0.0522758
"NFC East"	0.0522652
"Cannes Film Festival"	0.0522006
superspeedway	0.052076
"NAPA @@@"	0.0520249
NHRA	0.0519888
"European Cup"	0.051722
"Grand Prix"	0.0517085
"pirate ship"	0.0515092
Eastbourne	0.0513404
"Dorothy Chandler Pavilion"	0.0510101
"spelling bee"	0.0509623
"Cup Juvenile"	0.0507369
"second tour"	0.0507224
"BellSouth Classic"	0.0506794
Pinehurst	0.0506277
four-time	0.0505779
"Kremlin Cup"	0.0505375
"America West Arena"	0.0502679
"Tiger Stadium"	0.0502463
"Belmont Park"	0.0499738
Edgbaston	0.0497768
"National League Central"	0.0497461
"Atlanta Olympic Games"	0.0496126
"Long Beach"	0.0495055
FTSE	0.0493961
"New York City Marathon"	0.0493398
witticism	0.0491395
Futurity	0.049041
"triple crown"	0.0489326
decathlon	0.0488672
"Pauley Pavilion"	0.0487216
"Old Trafford"	0.0485079
Maurier	0.0484754
"Golden League"	0.048378
"Northeast Division"	0.0483464
"Qualcomm Stadium"	0.0482836
five-time	0.0482666
"Royal Birkdale"	0.0482054
"Italian Cup"	0.0481621
"AFC Championship Game"	0.0480689
Keeneland	0.047958
"Continental Airlines Arena"	0.0478407
"Lone Star Park"	0.0477575
"Italian Open"	0.0477091
"Delta Center"	0.0476213
"Cup Classic"	0.047586
"Cy Young Award"	0.0472191
"Maurier Open"	0.0469613
"Pan Am Games"	0.0467658
steeplechase	0.0466476
"Oak Tree"	0.0465728
"Champions Cup"	0.0465699
A.L.	0.04639
"European Tour"	0.0463712
"Sundance Film Festival"	0.0462626
"National Games"	0.0459175
"Eastern Division"	0.0457418
Pimlico	0.0455684
"Cotton Bowl"	0.045542
Tuesday.	0.0455138
"junior middleweight"	0.0453576
Whitbread	0.0452928
"Fort Campbell"	0.0450596
))
("Brickyard @@@" (desc 4868.92) (sims
"Pepsi @@@"	0.185502
"Daytona @@@"	0.174719
"Indy @@@"	0.162464
"London Marathon"	0.154837
"Boston Marathon"	0.129534
"NAPA @@@"	0.127358
"New York City Marathon"	0.127349
"Santa Anita Derby"	0.124882
"Tour Championship"	0.123665
"Pacific Classic"	0.123163
"Buick Classic"	0.115218
"Belmont Stakes"	0.112091
"Winston Cup"	0.107634
"Kentucky Derby"	0.107114
Winston	0.105952
"Gold Cup"	0.105786
"Cup Juvenile"	0.104593
Brickyard	0.1029
"Nissan Open"	0.102855
"PGA Championship"	0.102241
"US Open"	0.100622
"Victory Lane"	0.0997362
"European Championship"	0.0995644
"Jim Dandy"	0.0995131
"U.S. Senior Open"	0.0986203
"Preakness Stakes"	0.0984602
"Kentucky Oaks"	0.0977583
"British Open"	0.0969459
"Canadian Open"	0.0953541
"British Grand Prix"	0.0952778
"Grand Prix"	0.0928082
"European Cup"	0.0911441
"Phoenix Open"	0.0902768
Maurier	0.0902027
Indianapolis	0.0887122
Giro	0.087656
"Asian Cup"	0.0876407
"French Grand Prix"	0.0864756
"Busch Series"	0.0860889
Preakness	0.0845555
"Memorial Tournament"	0.0841874
"Australian Open"	0.0840155
"NASCAR Winston Cup"	0.0832664
"U.S. Open"	0.0822532
"Dubai World Cup"	0.0819854
"United States Open"	0.0819763
"Buick Invitational"	0.0818974
"West Regional"	0.0807806
"Tony Award"	0.0807379
slalom	0.0801108
"Japan Open"	0.079775
Masters	0.0794781
"French Open"	0.0790391
"LPGA Championship"	0.0789889
"National Book Award"	0.0779063
"Stockholm Open"	0.0771938
"U.S. Amateur"	0.0768467
"European Champions Cup"	0.0766869
Darlington	0.0766014
"Western Open"	0.0764834
"Dunhill Cup"	0.0759297
Busch	0.0756325
Derby	0.0743885
"Tour de France"	0.0743647
"MLS Cup"	0.0742754
"World University Games"	0.0741647
"Louis Vuitton Cup"	0.0740174
"Japanese Grand Prix"	0.073783
"Winter Olympic Games"	0.0736738
"Cup Classic"	0.0736085
"Players Championship"	0.073306
"European Championships"	0.0725096
"Florida Derby"	0.072446
"Little League World Series"	0.0713489
"Busch Grand National"	0.0711387
downhill	0.0709884
Travers	0.0709647
"Olympic Trials"	0.0708833
"Atlanta Olympic Games"	0.070754
Ironman	0.0703818
regionals	0.0703464
"Maurier Open"	0.0699516
"Wood Memorial"	0.0697119
"Pan American Games"	0.0696724
IRL	0.069185
PGA	0.0691584
"Arkansas Derby"	0.069081
Super-G	0.0690079
tourney	0.0689845
"Champions Cup"	0.0679948
"Solheim Cup"	0.067807
Pocono	0.0676557
"Libertadores Cup"	0.0669595
"Tony Awards"	0.0669498
"AFC Championship Game"	0.0667701
"Home Run Derby"	0.0666877
"College World Series"	0.0658837
prologue	0.065766
"first cup"	0.0654302
temblor	0.0650474
"spelling bee"	0.0640586
"East Asian Games"	0.0639136
"East Regional"	0.0638285
inaugural	0.06371
Indy	0.0636786
Coca-Cola	0.0630874
Belmont	0.0629575
"Fiesta Bowl"	0.0627046
"Ministerial Conference"	0.0625441
"Atlanta Games"	0.0624292
"Blue Grass"	0.0620593
"Santa Anita Handicap"	0.062036
"Maurier Classic"	0.0620312
"NEC Invitational"	0.0618547
marathon	0.0617671
"Mastercard Colonial"	0.0613611
"Monmouth Park"	0.0612749
Futurity	0.0609127
"World Cup Finals"	0.0608248
Daytona	0.0607453
triathlon	0.0607204
"Grand Slam Cup"	0.0604194
Iditarod	0.0601075
festivity	0.0599717
"African Nations Cup"	0.0597648
Paralympics	0.0597184
"Grammy Awards"	0.0597087
"Louisiana Derby"	0.0594524
"Atlanta Olympics"	0.0594424
"SEA Games"	0.0593952
"Summer Olympics"	0.0590828
"Commonwealth Games"	0.0589797
"Davis Cup"	0.0589685
"ASEAN Ministerial Meeting"	0.0589343
"triple crown"	0.0588956
"NCAA Tournament"	0.0588934
Asiad	0.0587598
"German Open"	0.0585678
"practice session"	0.0583637
"Italian Open"	0.0582971
"Chase Championships"	0.058286
"U.S. Opens"	0.0578445
by-election	0.057734
"NFC Championship Game"	0.0577233
"Euro @@@@"	0.0575914
finale	0.0574534
Saratoga	0.0573919
"cup final"	0.0573734
"Kremlin Cup"	0.0573338
pageant	0.056879
Opens	0.0568516
"Winning Colors"	0.0562686
"three-day event"	0.0561094
men's	0.0559021
"Cannes Film Festival"	0.0558692
"BellSouth Classic"	0.0557003
"yacht race"	0.0556567
scrimmage	0.0554726
"Indianapolis Motor Speedway"	0.0553264
balloting	0.0551668
"World Athletics Championships"	0.0549618
"Heisman Trophy"	0.0549495
"Hollywood Gold Cup"	0.0548454
"Nobel prize"	0.0547799
Heisman	0.0547281
"FA Cup"	0.0546388
breaststroke	0.0544917
"ski race"	0.0544906
"shot put"	0.0544718
"Orange Bowl"	0.0544249
"Academy Award"	0.0542899
off-day	0.0541768
"Indy Racing League"	0.0541483
"Hong Kong Open"	0.05413
Holyfield-Lewis	0.0540041
"South Regional"	0.0539968
"Asian Games"	0.0539066
"playoff game"	0.0537009
"National Invitation Tournament"	0.0534888
"UEFA Cup"	0.0531591
"Nobel Peace Prize"	0.0530084
"sugar bowl"	0.0529835
"hammer throw"	0.0529718
"Academy Awards"	0.0528077
"Dinah Shore"	0.0527187
"World Junior Championships"	0.0526901
"Ryder Cup"	0.0526751
"NBA Draft"	0.052524
"Hamlet Cup"	0.0523089
jackpot	0.0522957
"Winter Olympics"	0.0522386
first-round	0.0521738
"All-Star Game"	0.0521687
"Pan Am Games"	0.0520514
"Olympic Winter Games"	0.0520233
NLCS	0.0519928
"Goodwill Games"	0.0519432
Olympiad	0.0518035
"World Group"	0.0518023
"Peach Bowl"	0.0515427
))
(bride (desc 28625.9) (sims
groom	0.0856362
wife	0.0823609
"young woman"	0.0815918
mother	0.0809716
girl	0.0764398
girlfriend	0.0735701
boy	0.0697125
fiancee	0.0696928
daughter	0.0694096
"little girl"	0.0679178
boyfriend	0.0666926
"young girl"	0.0662757
"young man"	0.0642976
sister	0.0621502
actress	0.0616737
newlywed	0.0607852
teen-ager	0.0603165
Princess	0.0599856
teenager	0.059414
nun	0.0589471
baby	0.0579943
lover	0.0577635
husband	0.056685
dancer	0.0563338
son	0.0557574
parent	0.0554504
kid	0.0549687
queen	0.0545441
shopper	0.0540795
contestant	0.0540081
celebrity	0.0537572
ex-girlfriend	0.0534978
lady	0.0531308
"little boy"	0.0525005
spouse	0.0522403
"old woman"	0.0520492
mom	0.0517122
guest	0.0515062
companion	0.0513826
Sarah	0.0513537
nurse	0.0510692
grandmother	0.0506099
"first lady"	0.0501888
victim	0.0501001
priest	0.0493362
dad	0.0489917
Prince	0.0487539
musician	0.0487135
duchess	0.0486452
actor	0.0486132
stranger	0.0484512
hostess	0.048276
maiden	0.047791
maid	0.047607
witch	0.0473518
"college student"	0.0471362
singer	0.0470176
"old man"	0.0469772
grandparent	0.0469725
infant	0.0468841
"family member"	0.0467863
"young lady"	0.0467844
mate	0.0467784
Jamie	0.046759
exwife	0.0465775
widow	0.0463376
sweetheart	0.0462992
slave	0.0459781
heroine	0.0459346
adult	0.0456132
schoolgirl	0.0456017
cousin	0.0455318
patron	0.0454884
Diana	0.04532
babe	0.0452863
gardener	0.0452625
traveler	0.0451747
tourist	0.0449772
relative	0.0449166
artist	0.0448956
athlete	0.0447358
granddaughter	0.0446736
king	0.0446261
herself	0.0446258
aunt	0.0445723
Madonna	0.0444527
"best friend"	0.04424
"home buyer"	0.0439236
buyer	0.0433974
grandchildren	0.0433875
gentleman	0.043382
housewife	0.0432525
partygoer	0.0432242
Tarzan	0.0431536
villager	0.0429776
nanny	0.0429124
toddler	0.0428454
offspring	0.042843
John	0.0427896
"movie star"	0.0427199
bridesmaid	0.0426751
pupil	0.0426701
Mary	0.0426406
millionaire	0.0424966
dog	0.0424132
blonde	0.0423835
niece	0.0423815
tenant	0.0423039
playmate	0.0422698
teens	0.0421734
Elian	0.0420646
horse	0.041942
writer	0.0419188
superstar	0.0418948
CAT	0.0418863
pope	0.0417992
mother-in-law	0.0417282
Killer	0.0415508
immigrant	0.0414924
daughter-in-law	0.0413748
JonBenet	0.0413079
ballerina	0.0412906
grandfather	0.0411711
shepherd	0.0411652
homeowner	0.0411244
photographer	0.0411201
showgirl	0.0410157
Susan	0.0409929
"white woman"	0.0409013
fiance	0.0407986
folk	0.0407701
Hunter	0.0407478
diva	0.0406135
mourner	0.0405794
monarch	0.0405083
"black man"	0.0405055
Helen	0.0404821
David	0.0404554
"flight attendant"	0.0404181
retiree	0.0402412
redhead	0.0402121
waitress	0.040211
Reader	0.0401642
boss	0.0400971
Monica	0.040046
namesake	0.0400374
sibling	0.040036
newborns	0.0400248
suitor	0.0400085
))
(bride-to-be (desc 1164.74) (sims
henchmen	0.0695757
stepbrother	0.0643411
fifth-grader	0.0613204
Minnesotan	0.0599467
Marulanda	0.0583453
Annette	0.0581194
"grad student"	0.0563354
passerby	0.053762
Margolis	0.0530003
"school girl"	0.0526417
Irishmen	0.0525969
cellmate	0.0518003
grandkids	0.0511109
Tennessean	0.0510963
hyphen	0.0499516
seminarian	0.0497021
Quebecers	0.049483
"young actress"	0.0494378
"Labrador retriever"	0.0493926
"Steve DeBerg"	0.0490483
"Leelee Sobieski"	0.0487306
henchman	0.0476812
"Camilla Parker Bowles"	0.0475152
"dance step"	0.0466907
Atler	0.0464822
"mental state"	0.0461677
housemate	0.0460674
"TV reporter"	0.0454028
"Australian Mark Philippoussis"	0.0449423
Sheryl	0.0448232
Khorkina	0.0444766
"flower child"	0.0443219
Englishwoman	0.044297
Kirkpatrick	0.0440984
Frenchwoman	0.0432067
consort	0.0430742
Panchen	0.0429441
policewoman	0.0429183
Rifaat	0.0428886
"Joint Liaison Group"	0.042846
Taufik	0.0427059
redhead	0.0424701
ingenue	0.0423574
Washingtonian	0.0422404
Grahame	0.0421936
Irishman	0.042079
Jimy	0.0419718
Yandarbiyev	0.0416796
thistle	0.0415406
Cusack	0.0415389
Speer	0.0415147
meritocracy	0.0414953
puritanism	0.0413992
knuckleballer	0.0413806
Sevens	0.0413502
"science teacher"	0.0411309
Fiddes	0.0410446
Howell	0.0408594
"letter carrier"	0.0405897
"white knight"	0.0405769
Lamborghini	0.0405463
sixth-grader	0.0404046
"Jehovah's Witness"	0.0401993
"Funcinpec Party"	0.0401577
"motor scooter"	0.0401393
deliveryman	0.0401269
Sacagawea	0.0400965
shoplifter	0.0400456
))
(bridegroom (desc 1311.23) (sims
"bond investor"	0.0732349
dowry	0.0694936
fiance	0.068531
matron	0.0684876
"Cindy McCain"	0.0655869
"altar boy"	0.0632875
Taufik	0.0630483
Kulikov	0.0626573
"Old Trieste"	0.0624718
Highness	0.0613718
"Dominique Moceanu"	0.0604796
Paulina	0.0602553
magpie	0.0587102
welder	0.0583235
"Rick Rockwell"	0.0579322
Kumar	0.0576256
"Easter bunny"	0.0567615
Ghalib	0.0566876
Faget	0.0566811
ex-husband	0.0564319
consort	0.0563949
Bostonian	0.0561797
paraplegic	0.0560215
"Chelsea Clinton"	0.0559507
hubby	0.0551732
shipmate	0.0536549
"Azizah Ismail"	0.0536186
courtier	0.0535801
Diouf	0.0534573
"foster mother"	0.0533699
Aliev	0.0532731
cherub	0.0526825
Englishman	0.0524255
"school principal"	0.0523843
Tomba	0.0523253
schooler	0.0522307
"Golden Bear"	0.0521732
stepbrother	0.0521653
"National League for Democracy"	0.0520623
Noor	0.0519066
"juvenile delinquent"	0.0519039
Virginian	0.0515754
Hoogenband	0.0515212
debutante	0.0514293
"first pitcher"	0.051198
Washingtonian	0.0509003
Soldini	0.0506906
Yu	0.0501371
Chuasiriporn	0.0498226
Qin	0.0497152
"bond trader"	0.049434
O'Sullivan	0.0493293
Callaghan	0.0492736
"Krishna Prasad Bhattarai"	0.0487699
"bowling ball"	0.0486112
Gilkey	0.0485801
"Jason Garrett"	0.0483646
Krone	0.0482331
Salvadoran	0.0481316
agronomist	0.0481045
Grahame	0.0477384
Klinsmann	0.047718
Redgrave	0.0476948
Butyrskaya	0.0476554
"big leaguer"	0.0475541
TRUANT	0.0474879
Elisabeth	0.047423
"pen pal"	0.0472405
"house painter"	0.0471169
shuttler	0.0470121
"foster child"	0.0469261
Zheng	0.0466097
"Federated Department Stores"	0.0463693
UNMIK	0.0462361
"Steve DeBerg"	0.0460935
"President Lee Teng-hui"	0.0457641
suburbanite	0.0457513
Meciar	0.0457091
"blind man"	0.045694
"heart surgeon"	0.0456635
Juli	0.0454606
Pam	0.0454582
"Caroline Kennedy"	0.0454552
widower	0.0454548
"birth parent"	0.0454221
Jeremy	0.045258
Espinosa	0.045255
Kinkade	0.0451733
coif	0.0451102
"Australian Mark Philippoussis"	0.0450654
in-law	0.0450049
"Asif Ali Zardari"	0.0449599
Paxton	0.0449569
housemate	0.0449466
"Sarah Hughes"	0.0448209
vaulter	0.0447734
Imam	0.0446642
"Juan Miguel"	0.0446441
homemaker	0.0445937
yachtsman	0.0445549
Jansher	0.0444691
busboy	0.0444568
great-aunt	0.0444015
Cheng	0.0442382
sherpas	0.0440571
Koo	0.0440525
Schott	0.0438121
Bae	0.0437341
"Steve Spurrier"	0.0436471
"Lazaro Gonzalez"	0.0435783
claimer	0.0435021
Frenchwoman	0.0434794
Cubas	0.0434707
Lobo	0.0434075
gynecologist	0.0433759
"baseball coach"	0.0433062
masseuse	0.0432818
"black person"	0.0432462
Blackthorne	0.0431506
wellwisher	0.0430135
Seizinger	0.0429776
"first school"	0.0429342
"network administrator"	0.042931
"Anne Frank"	0.0428913
"general practitioner"	0.0427829
"Alberto Tomba"	0.0426368
lawman	0.0426167
Masire	0.0425656
Agnes	0.0424167
Cora	0.0424067
stakeout	0.0424043
bettor	0.0423848
EX-COMMUNISTS	0.0423681
pug	0.0422484
Krayzelburg	0.042095
hemophiliac	0.0420317
Tendulkar	0.0418839
"Alexandra Stevenson"	0.041851
Montalvo	0.0417576
Dokic	0.0416563
Ganga	0.041602
Philanderer	0.0415071
"Richard Williams"	0.0414612
Loretta	0.0414465
copywriter	0.0414169
acquirer	0.041393
"eagle scout"	0.0413367
"currency trader"	0.041322
adjuster	0.0412189
neurosurgeon	0.0411892
honeymooner	0.0410476
exhusband	0.0410325
"Guo Jingjing"	0.0409779
parolee	0.04097
landlady	0.0409591
schoolboy	0.0409343
fifth-grader	0.0408888
"British government"	0.0407224
Merced	0.0406908
animator	0.0406749
"Bengal tiger"	0.0406691
Ecuadoreans	0.0406499
Cesar	0.0405614
Yan	0.0404687
"Elia Kazan"	0.0404242
"math teacher"	0.04022
"Philadelphia Orchestra"	0.0402123
"Kieren Perkins"	0.0401393
techie	0.0401183
"registered nurse"	0.0400089
))
(bridesmaid (desc 3823.24) (sims
clingy	0.0710832
"big leaguer"	0.0633795
slinky	0.0629677
"NBA All-Star"	0.0626252
"important person"	0.0612839
"Christian Dior"	0.0609394
B-@s	0.0574801
"old lady"	0.0572982
gal	0.0571048
infantryman	0.0567245
blonde	0.0566126
doormat	0.056019
weatherman	0.0559324
"guardian angel"	0.0558237
joiner	0.0554964
ingenue	0.0554592
"little girl"	0.0551375
Susanna	0.0549141
pallbearer	0.0544146
Scrooge	0.0542113
supplicant	0.05245
doormen	0.0524299
"traffic cop"	0.0513595
Selena	0.0513342
"Fighting Irish"	0.0512461
housewife	0.0509719
gingham	0.0509478
"black person"	0.0503834
"Pro Bowler"	0.0496097
flapper	0.0494993
bogeyman	0.0494381
stewardess	0.0486758
"Yves Saint Laurent"	0.0486302
stagehand	0.0484625
"Gary Player"	0.0484168
supermodel	0.0484157
patsy	0.0483954
Versace	0.0479364
looker	0.0479184
lifeguard	0.0477761
"altar boy"	0.0477606
"blind man"	0.0477264
halter	0.0470956
bimbo	0.0468064
"young lady"	0.046758
"supporting players"	0.046694
Superman	0.04668
Ph.D.s	0.0466401
dockworkers	0.046635
"wedding party"	0.0463979
seamstress	0.0462845
"old woman"	0.0460928
"break of serve"	0.045761
denim	0.0455698
bitch	0.0454405
has-been	0.0452568
"good person"	0.0452272
Valentino	0.0451567
"married woman"	0.0450937
saleswoman	0.0450052
waitress	0.0448972
"big sister"	0.0447764
hostess	0.0445619
bartender	0.0442785
seminarian	0.0441754
bloomer	0.0439746
whore	0.0439702
"ticket agent"	0.0439472
schoolteacher	0.0438855
babysitter	0.0438581
soulmate	0.0438407
"registered nurse"	0.0434015
Judith	0.043384
caddie	0.0433765
tomboy	0.0429985
proactive	0.0428852
voyeur	0.042821
hippie	0.0425778
skydiver	0.0425307
transvestite	0.0424342
fifth-grader	0.0424303
"fall guy"	0.0423943
ballerina	0.0423518
"femme fatale"	0.0423514
"guitar player"	0.0421097
sweetheart	0.0420309
caretaker	0.0419595
"one of the boys"	0.0419118
passerby	0.041885
homemaker	0.0418447
Zapruder	0.0416931
"best man"	0.0416742
"GI Joe"	0.0416697
stuntman	0.0416458
prom	0.0415684
Isabella	0.0415615
Halston	0.0415106
COUTURE	0.0414907
masseuse	0.0414333
overachiever	0.0413876
schoolgirl	0.0413396
chaperone	0.0413381
money-winner	0.040998
innkeeper	0.0409477
"top dog"	0.0409383
All-Pro	0.0409325
part-timer	0.0408892
schooler	0.0408626
lawman	0.0408462
"day laborer"	0.0407892
Gaultier	0.0405696
sleuth	0.0405637
procrastinator	0.0405636
redhead	0.0403813
lunatic	0.0401483
switch-hitter	0.0400905
"role player"	0.0400504
nun	0.0400134
))
(bridge (desc 133777) (sims
highway	0.170661
road	0.161448
expressway	0.142871
railway	0.131921
overpass	0.129279
building	0.129002
tunnel	0.126394
dam	0.126088
"power station"	0.123794
Tower	0.112989
embankment	0.1113
"power plant"	0.108685
airport	0.107194
"railway line"	0.101572
"rail line"	0.100373
dike	0.100182
facility	0.098094
runway	0.0969626
factory	0.0969065
"oil refinery"	0.0962439
wall	0.0959034
pipeline	0.0955792
street	0.0948524
Canal	0.0938382
station	0.0932765
depot	0.0921393
river	0.0906624
route	0.0905606
freeway	0.0904983
project	0.0899776
roof	0.089722
levee	0.0891956
park	0.089033
infrastructure	0.0882246
rail	0.0880421
roadway	0.0880209
house	0.0877367
fence	0.0870867
waterway	0.0870385
subway	0.0868831
"power line"	0.086757
monument	0.0867024
"apartment building"	0.0866029
reservoir	0.0864847
plant	0.0864711
terminal	0.0842069
village	0.0841691
refinery	0.0841067
train	0.0839
port	0.0837246
structure	0.08333
culvert	0.0832198
border	0.082777
hotel	0.0823764
ship	0.0822209
section	0.0818002
gate	0.0817419
walkway	0.0815756
"oil pipeline"	0.0812294
track	0.0812007
pier	0.0811916
center	0.0810779
area	0.0808566
bus	0.0805664
tree	0.0805012
airfield	0.0801479
cliff	0.0797229
"office building"	0.0794602
complex	0.0783442
checkpoint	0.0773241
"power grid"	0.0768763
link	0.0765055
site	0.0761675
mosque	0.0761238
car	0.0761129
skyscraper	0.0761018
home	0.0760234
"pumping station"	0.0759666
dyke	0.0758371
crossing	0.0756443
dock	0.0754125
sidewalk	0.0753825
barrack	0.075029
ferry	0.0746767
avenue	0.0746132
lane	0.07458
corridor	0.0744193
"railway station"	0.0742538
vehicle	0.0739441
city	0.0735947
line	0.0734778
construction	0.0733186
stadium	0.0731292
truck	0.0730301
boat	0.0729796
beach	0.0727368
base	0.0726842
"main road"	0.0725724
harbor	0.0722386
square	0.072146
railroad	0.0718722
thoroughfare	0.0716945
installation	0.0715665
platform	0.0715618
temple	0.0714975
mountain	0.0714386
wharf	0.0713105
substation	0.0711986
barrier	0.0709053
traffic	0.0708401
intersection	0.0708051
town	0.0701775
deck	0.0701312
floor	0.0698579
system	0.0697535
hospital	0.0697321
school	0.06929
network	0.0691726
plane	0.0691242
lake	0.0686978
vessel	0.0680973
mine	0.0678705
ramp	0.0674523
channel	0.0672689
palace	0.0668792
church	0.0666225
field	0.0665764
statue	0.0665238
sewer	0.0662778
shelter	0.0661323
door	0.0661298
farm	0.0660263
tank	0.0659706
"railroad track"	0.0659413
Housing	0.0659314
"shopping center"	0.0656592
block	0.0655802
memorial	0.0655573
synagogue	0.0653841
"transmission line"	0.0652412
Gateway	0.0650402
reactor	0.0650171
island	0.0649828
land	0.0648397
aircraft	0.0645574
airstrip	0.0645154
Warehouse	0.064331
zone	0.0641735
museum	0.064161
hill	0.0640951
campus	0.0640408
transport	0.0640191
balcony	0.0639312
shop	0.063643
transportation	0.0635977
tomb	0.0635517
water	0.06349
"water system"	0.0634203
plaza	0.0633165
cable	0.0629421
"parking lot"	0.0626263
"Interstate @@"	0.0623813
window	0.0623188
neighborhood	0.0622947
pipe	0.0621767
mall	0.0620686
Dome	0.0619706
landmark	0.0618363
apartment	0.0617677
pagoda	0.0617409
"port of entry"	0.061586
pond	0.0614826
"police station"	0.0614053
airplane	0.0611321
"post office"	0.0608491
path	0.0608086
garden	0.0604357
bunker	0.060413
embassy	0.0603976
"golf course"	0.0602609
outpost	0.0601276
library	0.060027
interchange	0.0598968
dwelling	0.059893
"water supply"	0.0598766
"industrial park"	0.0598091
"military installation"	0.0597461
hall	0.059576
barricade	0.059406
garage	0.0591734
rooftop	0.0589655
restaurant	0.0588891
"subway station"	0.0588881
hut	0.0584151
pillar	0.0583831
waterfall	0.0583084
"main street"	0.058274
Lighthouse	0.0581524
trail	0.0581327
headquarter	0.0581059
))
(Bridgehampton (desc 1131.91) (sims
Tarrytown	0.218621
MINEOLA	0.191689
"Hollywood Hills"	0.189827
"New Rochelle"	0.169322
Skaneateles	0.163104
Brentwood	0.162901
"East Hampton"	0.160785
Irvington	0.159869
Chappaqua	0.158441
"Bel Air"	0.155195
"Garden City"	0.147858
Montauk	0.142967
"Great Neck"	0.133492
Alpharetta	0.132718
Hempstead	0.132202
Plattsburgh	0.128854
Reseda	0.12877
Cornish	0.128566
"Saratoga Springs"	0.128382
Latham	0.127414
Scarsdale	0.126399
Catskill	0.124744
"Fayette County"	0.12162
oceanside	0.121186
"Mill Valley"	0.119439
oceanfront	0.117907
Poughkeepsie	0.117856
Montclair	0.117349
Englewood	0.113955
Malibu	0.11299
"Fort Lee"	0.111974
Uniondale	0.111508
Chatham	0.11147
"Mission Viejo"	0.110962
Amherst	0.10864
Flushing	0.108304
Riverhead	0.107723
"White Plains"	0.104152
Kennebunkport	0.104028
Jericho	0.103209
Ithaca	0.102909
Ballymoney	0.102519
Elmira	0.10241
Encino	0.102385
Peekskill	0.100499
Westport	0.0987718
Surrey	0.09841
"Westchester County"	0.0977746
Greenwich	0.0976458
"Hyde Park"	0.0969479
Middletown	0.0969367
"New Canaan"	0.096532
Lenox	0.0955465
"Stony Brook"	0.094754
Berne	0.0946866
Hattiesburg	0.094103
Huntington	0.0936623
Bedford	0.0919007
"Forest Hills"	0.0914462
Stockbridge	0.0911168
Watertown	0.0908902
"Pacific Palisades"	0.0903308
Carmel	0.0900316
"Greek Revival"	0.089662
Freeport	0.0893053
Pelham	0.0890097
"Dutchess County"	0.088254
Brewster	0.0879388
Hamptons	0.0874835
Monticello	0.0855713
Hawthorne	0.0854484
Yonkers	0.0849109
Jamestown	0.084173
Schenectady	0.0841231
Brookline	0.0832956
"Beverly Hills"	0.0831589
Riverdale	0.0829391
Norwich	0.0828963
"Studio City"	0.0828406
"Mount Vernon"	0.0826801
bethel	0.0824733
Warwick	0.0824637
"San Mateo"	0.082462
"Woodland Hills"	0.0822132
Clifton	0.0821055
BRIGHTON	0.0811941
Montpelier	0.0802164
"Santa Monica"	0.080167
Southampton	0.0800717
Oxnard	0.0799624
"Little Havana"	0.0791812
Utica	0.0784944
Westchester	0.0782334
Georgetown	0.0777922
Hollis	0.0771963
Kensington	0.0771801
Derry	0.0769008
"Marin County"	0.0768121
Wilton	0.0764506
Waterloo	0.0762927
Kingston	0.0762023
Bensonhurst	0.0750915
lakeside	0.0749285
Atherton	0.0745284
Eames	0.0745219
"Gaza City"	0.0743284
riverside	0.0741056
"Rockland County"	0.0740451
Braintree	0.0737004
Lawrenceville	0.0735853
rye	0.0735439
"Paradise Valley"	0.0729299
"Palm Beach Gardens"	0.0728662
Soweto	0.0726389
"Queen Anne"	0.0725555
Moroni	0.0724666
"Van Nuys"	0.0720548
Wentworth	0.0716792
"East Orange"	0.0715465
"Long Island City"	0.0714569
"Westlake Village"	0.0708134
Corning	0.0702677
Ridgewood	0.0701901
"Miami Beach"	0.0701106
lakefront	0.0700752
"Happy Valley"	0.0700749
Astoria	0.0700496
Fayetteville	0.0700281
Urosevac	0.0697744
Heidelberg	0.0694825
"Palm Beach"	0.0693823
"La Jolla"	0.0692543
Beaufort	0.0688715
Rockville	0.0684604
"Watkins Glen"	0.0684134
ASHEVILLE	0.06834
"Chapel Hill"	0.0679838
"Century City"	0.0679434
Sausalito	0.0679361
Buckhead	0.0679125
Middleton	0.067772
Bangor	0.0676355
Shawnee	0.0674791
Binghamton	0.0672687
Williamstown	0.067083
Tribeca	0.0670436
Ashland	0.0666911
Shirley	0.0664833
"Woods Hole"	0.0663467
Nantucket	0.0662741
Hanover	0.0662011
"Central Jakarta"	0.0660932
Medford	0.0660092
Pleasantville	0.0657635
Stafford	0.0657337
beachfront	0.0657233
"Palm Springs"	0.0654754
Stamford	0.0653993
Bridgewater	0.0647957
"Simi Valley"	0.0647593
"Boca Raton"	0.0646111
Chester	0.0644235
Brookhaven	0.0642762
"Cherry Hill"	0.0642091
"Park City"	0.0638004
Rockport	0.0637585
Annapolis	0.0635906
Woodside	0.0634475
"Key West"	0.0633756
"West Orange"	0.0633613
Verona	0.0630185
"San Sebastian"	0.0629023
Clearwater	0.0628229
"West Hollywood"	0.062631
"Redwood City"	0.062609
Eureka	0.0625862
Babylon	0.0624864
"New London"	0.0624857
Sparta	0.062485
"Chevy Chase"	0.0623243
"Staten Island"	0.0622787
Queens	0.0621976
Leawood	0.062111
Easton	0.0619243
"Port St. Lucie"	0.0617919
"Round Rock"	0.0615605
Weston	0.061365
Mannheim	0.0613548
"Newport Beach"	0.0611567
Janis	0.0611486
"Panama City"	0.061145
"San Rafael"	0.0609785
Upton	0.0603808
Scranton	0.060211
Cooperstown	0.0601227
Longview	0.0600607
Cupertino	0.0596921
Nakuru	0.0591915
"Overland Park"	0.0589727
"Granada Hills"	0.0589707
))
(Bridgeport (desc 9551.05) (sims
Stamford	0.17567
"New Haven"	0.171091
Hartford	0.157505
Darien	0.150518
"New London"	0.141284
Greenwich	0.140448
Newark	0.139877
Waterbury	0.134888
Danbury	0.131763
Middletown	0.127804
Groton	0.126897
"New Canaan"	0.12645
TRENTON	0.12605
Camden	0.125524
Norwalk	0.12331
Wallingford	0.121927
"Fort Worth"	0.115773
Farmington	0.115387
Fairfield	0.114852
Westport	0.114096
Scranton	0.113513
"East Orange"	0.111238
"Little Rock"	0.110449
Providence	0.10944
"Baton Rouge"	0.109351
"Fall River"	0.109187
Minneapolis	0.107241
"St. Petersburg"	0.105844
Lubbock	0.104506
Stratford	0.103118
Rochester	0.100002
Casas	0.0997203
"Fairfield County"	0.0996423
"Dade County"	0.0995421
Worcester	0.0995219
Poughkeepsie	0.0984771
Tampa	0.0984463
Youngstown	0.0980851
Norwich	0.0970491
Springfield	0.0960716
"Fort Lauderdale"	0.0956659
"Union City"	0.0952189
"West Palm Beach"	0.0951289
Paterson	0.0944441
"Palm Beach"	0.0940876
"El Paso"	0.0934167
Englewood	0.0926722
Morristown	0.0924512
"Highland Park"	0.0922777
Knoxville	0.0922431
Laredo	0.0919625
"White Plains"	0.0913928
Matamoros	0.09133
Brownsville	0.0909919
Wilmington	0.0909287
Albany	0.0906999
Tucson	0.0905826
"New Orleans"	0.0904002
Wichita	0.0900741
"San Juan"	0.0900666
Brooklyn	0.0899552
Memphis	0.089858
"Miami-Dade County"	0.0893707
Burlington	0.0889986
Beaumont	0.0889577
anchorage	0.0888997
"Santa Monica"	0.0888401
Austin	0.088724
Chicago	0.0879167
Bangor	0.0877673
"San Antonio"	0.0877075
Birmingham	0.0874292
Houston	0.0874184
Hackensack	0.0872886
Milford	0.0871251
Chattanooga	0.0870379
Fresno	0.0869776
"San Francisco"	0.0868695
Akron	0.0866416
Marlborough	0.0865534
Baltimore	0.086534
"Jersey City"	0.0863862
Boston	0.0863392
"St. Paul"	0.0861786
Detroit	0.0855335
Dallas	0.0854116
Braintree	0.0853549
Albuquerque	0.0848446
Redding	0.0846996
"Los Angeles"	0.0846303
Charleston	0.0843654
Hattiesburg	0.0842044
"Kansas City"	0.0839323
Philadelphia	0.083893
"Dutchess County"	0.0837972
Somerville	0.0837441
Honolulu	0.0837238
Covington	0.0835422
LAKEWOOD	0.0832029
Woodbridge	0.0828566
"Santa Rosa"	0.0827722
Yonkers	0.0825647
Haifa	0.0817709
Raleigh	0.0815505
Nashville	0.0813969
"New York City"	0.081213
Phoenix	0.0811996
Spokane	0.0811188
Tempe	0.0808801
"Corpus Christi"	0.0807954
Westfield	0.0807908
Indianapolis	0.0805585
"Bergen County"	0.0802966
Miami-Dade	0.0800637
Columbus	0.0799161
Salisbury	0.0796655
Manchester	0.0794822
Denver	0.0792575
Carthage	0.0791127
Shreveport	0.0789036
Jacksonville	0.0787367
Richmond	0.0786753
"Monmouth County"	0.0782149
Laramie	0.0775928
Yekaterinburg	0.0775381
Guadalajara	0.07723
Londonderry	0.0771325
Trumbull	0.0770639
"San Mateo"	0.0764487
Louisville	0.0762457
"Woodland Hills"	0.0759466
"Las Vegas"	0.0758347
Macon	0.0755071
riverside	0.0749829
Jasper	0.0749743
Galveston	0.0749555
"San Jose"	0.0747899
Holyoke	0.0745683
"Cobb County"	0.0741913
Buffalo	0.0741572
TALLAHASSEE	0.0740893
Wilton	0.0740066
"Washington D.C."	0.0735479
Greenville	0.0735376
bethel	0.0734237
Lansing	0.0733651
Omaha	0.0732895
Bloomfield	0.0732071
"San Diego"	0.0728528
Missoula	0.0727679
"Studio City"	0.0726331
"Van Nuys"	0.0724664
Watertown	0.0723935
Chatsworth	0.0723101
Decatur	0.0722295
Cambridge	0.0720682
Glendale	0.0720619
"Westchester County"	0.071942
"Long Beach"	0.0716638
Chappaqua	0.0713581
"San Angelo"	0.071303
Milwaukee	0.0712013
Orlando	0.0711932
Lenexa	0.0711247
"Sao Paulo"	0.0709292
"St. Louis"	0.0709245
Schenectady	0.0707798
Charlestown	0.0704337
Topeka	0.0703858
Texarkana	0.0703256
"La Jolla"	0.0703101
Miami	0.0702484
Burbank	0.070225
Portland	0.0701931
"Lake Worth"	0.0701783
Cheshire	0.0700667
"Greenwich Village"	0.0700219
Dayton	0.0699997
Carmel	0.0699738
"Montgomery County"	0.0699573
"The Bronx"	0.0699342
Krakow	0.0698099
"Miami Beach"	0.0697608
"Boca Raton"	0.0696617
"North End"	0.0695577
"Cook County"	0.0694761
Huntsville	0.0693892
"Cherry Hill"	0.0693588
Peoria	0.0693566
Chester	0.0693461
Manhattan	0.0693319
Windsor	0.0691342
Hillsboro	0.0690888
Harlingen	0.0689266
Cincinnati	0.0687315
Seattle	0.0686853
Winston-Salem	0.0686213
Oxnard	0.0685083
Quincy	0.0684238
"Park Slope"	0.068388
))
(Bridgestone (desc 2853.66) (sims
Bridgestone/Firestone	0.212164
Firestone	0.172449
Sumitomo	0.159198
DaimlerChrysler	0.148687
UAL	0.143265
Goodyear	0.140176
Unisys	0.138351
ENTREMED	0.133717
G.M	0.12903
"Con Ed"	0.128282
WPP	0.127111
"J&AMP;J"	0.124721
Michelin	0.124202
AGL	0.121429
Novartis	0.121349
Litton	0.120887
"Con Edison"	0.12057
MiniMed	0.120137
Nissan	0.118967
RJR	0.116971
Halliburton	0.116893
IDT	0.1165
NiSource	0.115991
Checkfree	0.115989
Raytheon	0.115651
ExciteAtHome	0.115281
"Nissan Motor"	0.114997
AHP	0.114992
AMR	0.114435
"Union Carbide"	0.113905
McKesson	0.11307
"Y&AMP;R"	0.112953
Biogen	0.112559
GPU	0.111829
Sepracor	0.111702
Unilever	0.111152
Mazda	0.11071
"General Motors Corp."	0.110256
"Times Co."	0.109507
Emulex	0.108774
"U.S. Trust"	0.107724
Humana	0.107461
Chiron	0.107402
"Berkshire Hathaway"	0.10696
GANNETT	0.106239
"Dayton Hudson"	0.106112
TYCO	0.10582
GM	0.104785
Volkswagen	0.104779
Daimler-Chrysler	0.104732
Monsanto	0.104681
"Philip Morris Cos."	0.103698
VISTEON	0.10358
Publicis	0.10329
Renault	0.103037
"P&AMP;G"	0.103035
"RJR Nabisco"	0.102814
ATX	0.102343
"KCP&AMP;L"	0.102155
Agilent	0.10193
"United Technologies"	0.101893
VW	0.101384
AlliedSignal	0.101376
Penney	0.100669
Genzyme	0.100611
"BP Amoco"	0.10053
"British Foreign Office"	0.10048
"Daimlerchrysler AG"	0.100301
Amgen	0.100204
Providian	0.099919
Chrysler	0.0998183
CompUSA	0.0993448
Maytag	0.0991903
Starwood	0.098955
"General Motors"	0.0988661
"Dow Chemical"	0.098699
Polaroid	0.0982273
Chevys	0.0981931
EMC	0.0981017
Fiat	0.0973454
"Sara Lee"	0.0972051
FPL	0.0969144
Isuzu	0.0967923
"News Corp."	0.0966275
Kodak	0.0965202
GTE	0.0964072
"General Electric"	0.0960883
Priceline	0.0959544
Pepsico	0.0959027
"American Home Products"	0.0955694
"Northeast Utilities"	0.095514
Honeywell	0.0953405
LTCB	0.0953394
Pairgain	0.0952613
Equifax	0.0952372
HP	0.0946827
"MCI WorldCom"	0.0945795
Enron	0.094568
Nortel	0.0943133
COLTEC	0.0942646
Mattel	0.0941559
Genentech	0.0941499
USEC	0.0940512
NEC	0.0936475
Sibneft	0.0935959
"Northern Telecom"	0.0935076
BMW	0.0933642
"Saatchi &AMP; Saatchi"	0.0933421
"Aetna Inc."	0.0929898
"Georgia Power"	0.0929882
Citigroup	0.0929859
Bayh	0.0929777
NORTHROP	0.0928668
"Boston Scientific"	0.0926533
UAW	0.0925831
RAMBUS	0.0925068
Broadcom	0.0923355
Chevron	0.0922343
"Knight Ridder"	0.0920193
Vivendi	0.0918502
Corning	0.0917322
Gillette	0.0916483
Celera	0.0914006
Omnicom	0.0913494
"American Home"	0.0913061
Toyota	0.0912959
Asarco	0.0912112
NHTSA	0.0909008
"HBO &AMP; Co."	0.0904858
"Royal Bank"	0.0904476
SBC	0.0904334
ALZA	0.0904068
"U S West"	0.0902171
Aetna	0.0899016
"Gap Inc."	0.0898056
BOC	0.0897366
Seagate	0.0897339
Lockheed	0.0896679
"True North"	0.0895921
Xerox	0.0894148
SDB	0.0892959
Verizon	0.0892676
Mitsubishi	0.0887525
RealNetworks	0.0884708
Mannesmann	0.0882653
"Ford Motor Co."	0.0882157
Texaco	0.0881961
SmithKline	0.0881943
Seagram	0.0879564
Bestfoods	0.0878996
Hasbro	0.087617
"Dow Jones &AMP; Co."	0.0876129
"Coca-Cola Co."	0.0873416
Diageo	0.0872978
Schlumberger	0.0872393
"Coca-Cola Enterprises"	0.086868
"Network Solutions"	0.0867983
Motorola	0.0865427
PEOPLESOFT	0.0865146
CMGI	0.0864231
AutoNation	0.0864228
Viacom	0.0863704
Cendant	0.0860511
Kroger	0.0859804
Daimler	0.0859205
Ericsson	0.0858359
"Johnson &AMP; Johnson"	0.0857252
"Federated Department Stores"	0.0852573
HBOC	0.0850571
"First Union"	0.0850232
Norwest	0.0849608
BankBoston	0.0849172
Merrill	0.0849042
Coca-Cola	0.0847934
"Phelps Dodge"	0.0847473
VENATOR	0.0846858
UTC	0.0845224
"Exxon Mobil"	0.0845203
ENTERGY	0.0844506
Ciena	0.0843829
BankAmerica	0.0843655
"Cox Communications"	0.0842838
E-LOAN	0.0841947
Priceline.com	0.0839661
Mobil	0.0839247
"Seagram Co."	0.0836087
Sunbeam	0.0835205
Samsung	0.0835093
"Omnicom Group"	0.0833135
"Computer Associates"	0.0832439
Tenneco	0.0831773
"AMR Corp."	0.0830424
Schering	0.0827905
Pontiacs	0.0827577
"Thermo Electron"	0.0826182
Honda	0.0824864
Opel	0.0823956
ARCO	0.0820371
"Honda Motor Co."	0.0818429
Livent	0.0817724
))
(Bridgestone/Firestone (desc 2651.92) (sims
Firestone	0.26254
Bridgestone	0.212164
"Kraft Foods"	0.156467
"General Motors Corp."	0.151461
"Daimlerchrysler AG"	0.136187
DaimlerChrysler	0.130172
Daimler-Chrysler	0.12023
"Sara Lee"	0.120193
"General Motors"	0.114267
"Con Ed"	0.113809
"Verizon Communications"	0.110702
ATX	0.110495
Chevys	0.11005
"Con Edison"	0.104508
"Delta Airlines"	0.103539
"British Foreign Office"	0.103116
G.M	0.102343
Renault	0.101858
"Georgia Power"	0.100463
"Delta Air Lines"	0.0999468
MLB	0.099285
"Chrysler Corp."	0.0968843
UAW	0.0957886
Chrysler	0.0932308
Genzyme	0.0929389
Pontiacs	0.0926962
USEC	0.0909257
Goodyear	0.0899594
"Koch Industries"	0.0896287
"Honda Motor Co."	0.0893283
"Rod Thorn"	0.0885592
"Airport Authority"	0.0885555
MACROMEDIA	0.0882738
AHP	0.0882317
Kaiser	0.0882303
"Housing Authority"	0.0876241
Michelin	0.0874172
"Blue Cross"	0.0874018
"Renault SA"	0.0872615
"United Auto Workers"	0.085919
"American Airlines"	0.0852467
Sumitomo	0.0849948
"US Airways"	0.0845567
Heche	0.0844858
HKMA	0.0844372
"U.S. Immigration and Naturalization Service"	0.0842039
Opel	0.0834491
"U S West"	0.0831896
NHTSA	0.0830045
F.A	0.0824491
Verizon	0.082308
"Cox Communications"	0.0820384
Geron	0.0816701
VISTEON	0.0814371
"Gap Inc."	0.0811698
"Ford Motor Co."	0.0811043
ExciteAtHome	0.0810209
"Metropolitan Transportation Authority"	0.0805273
"State Farm"	0.0805197
RIAA	0.0799873
Norwest	0.0798028
Lucasfilm	0.07961
"BellSouth Corp."	0.0796071
"Ford Motor"	0.0794207
Sears	0.0791476
Bayh	0.0788081
SAA	0.0785135
"PG&AMP;E"	0.0781888
CWA	0.0780186
"American Home Products"	0.0777214
Rockefellers	0.0776396
Loral	0.0775979
"America West"	0.0775655
"Wine Institute"	0.077219
"New Balance"	0.0768773
"Philip Morris"	0.0767017
ARATS	0.0766892
ama	0.0755686
ITC	0.0752188
"Sydney Organizing Committee"	0.0751236
"Consolidated Edison"	0.0746995
NORTHROP	0.0741796
Mazda	0.0740834
Fiat	0.0737948
"Toyota Motor Corp."	0.0735839
Hyundai	0.0734706
"Phelps Dodge"	0.0733775
MTA	0.0732569
FPL	0.0731269
"China Airlines"	0.0729756
Emulex	0.0728391
SSB	0.0726199
"Medical Society"	0.0721121
YankeeNets	0.0720706
Pirelli	0.0719628
"Chevron Corp."	0.0719192
"Dow Chemical"	0.0717492
"Alaska Airlines"	0.0715806
Mitsubishi	0.0714481
"U.S. Chamber of Commerce"	0.0713968
Vivendi	0.0713399
"English Football Association"	0.0712918
SAirGroup	0.0712466
"Deutsche Bank AG"	0.0707744
Citroen	0.070745
Instinet	0.0706094
"Israeli Foreign Ministry"	0.0705825
AIG	0.0705688
"United Technologies"	0.0705348
Toyota	0.0703339
IAI	0.0701505
"Times Mirror Co."	0.0701466
Dupont	0.0697412
"Coca-Cola Enterprises"	0.0695527
Anheuser-Busch	0.069463
"Bell Atlantic"	0.0694098
Raytheon	0.069343
"Coca Cola"	0.0693212
ACOG	0.0692447
Lockheed	0.0692426
"Knight Ridder"	0.0692319
"Iranian Foreign Ministry"	0.069107
"French Foreign Ministry"	0.0689605
"CBS Corp."	0.0688392
Texaco	0.0684364
Aetna	0.0682654
Kellogg	0.0682457
FEMA	0.0681602
"Air Canada"	0.0678155
"National Rifle Association"	0.0675411
Volvo	0.0675067
"Fannie Mae"	0.0674415
"Gulf Air"	0.0673859
NCEC	0.0671179
Pfizer	0.0670679
"Trans World Airlines"	0.0669766
DEP	0.0669142
McKesson	0.0668858
"National Grid"	0.0667766
"Boeing Co."	0.0667665
SLOC	0.0666343
"Hewlett-Packard Co."	0.0665691
BofA	0.0663688
Cisco	0.0662749
"Defense Agency"	0.0662481
TWA	0.0659456
"US West"	0.0657391
"Levi Strauss"	0.0657183
DoubleClick	0.0655919
Volkswagen	0.0653409
"Scotland Yard"	0.0652251
Webvan	0.0651092
"Ford Motor Company"	0.0649499
"Boston Scientific"	0.0648972
"Eastman Kodak"	0.0647622
"New York Times Co."	0.0647622
"American Home"	0.064762
Marketspan	0.06443
NHRA	0.0643524
VW	0.0642918
Unisys	0.0642711
"Lockheed Martin"	0.0642576
MetLife	0.0642178
"U.S. Defense Department"	0.0640919
Westinghouse	0.0640663
RealNetworks	0.0639311
"Conde Nast"	0.0639265
Maytag	0.0638987
Scientific-Atlanta	0.0638056
Blown	0.0638055
"Better Business Bureau"	0.0637381
Frito-Lay	0.063381
Chevron	0.0630981
NRA	0.0630401
Xerox	0.0630292
Loewen	0.0629219
Perdue	0.0627597
"Times Co."	0.0627323
"National Semiconductor"	0.0625528
"United Way"	0.062532
"Health Department"	0.0625219
SDPC	0.0624009
Cendant	0.0623558
Publicis	0.0622695
"MCI WorldCom"	0.062216
"International Paper"	0.0621814
Avondale	0.0621301
CNNfn	0.062065
Nissan	0.0620203
"Federal Express"	0.0619922
Mobil	0.0619719
"American Bankers Association"	0.0619292
"Northeast Utilities"	0.0618415
GEC	0.0617941
SabreTech	0.0617119
Medtronic	0.0616814
USATF	0.0616334
Sotheby's	0.0615412
Caltrans	0.0615206
Swissair	0.0613598
))
(Bridget (desc 1768.49) (sims
Jessica	0.0871261
Amanda	0.0850623
Sophie	0.083222
Sarah	0.081288
Katie	0.0780971
Jenna	0.0754874
Edith	0.07417
Audrey	0.0726484
Edna	0.072549
Paulina	0.0721482
Natalie	0.0720914
Josephine	0.0717524
Dorothy	0.0716371
Sonia	0.0709307
Sasha	0.0706498
Lori	0.0704903
JonBenet	0.0675874
Christina	0.0669742
Renee	0.0665064
Wyatt	0.06521
Hadley	0.0648962
Emma	0.0645189
Christine	0.0644258
"Karenna Gore Schiff"	0.0643744
Samantha	0.0641827
Brooke	0.063977
Slatkin	0.0638899
Katherine	0.0637218
Polly	0.0629357
Klemperer	0.0629128
Tyler	0.0629014
Michelle	0.0628118
Sara	0.0627145
"Caroline Kennedy Schlossberg"	0.0627045
Eli	0.062522
Naomi	0.0621402
Gina	0.0618377
Rachel	0.0607387
Almodovar	0.0604035
Paltrow	0.0603165
Rebecca	0.0599055
Anne	0.0595748
Matthew	0.0592872
Kelleher	0.0589619
Karenna	0.0580257
Kate	0.057952
Emily	0.0579091
Debbie	0.0576488
Maya	0.0574936
Olivia	0.0574118
"Favorite Trick"	0.0573162
Julia	0.0572856
"Jamie Lee Curtis"	0.0572357
heather	0.0568799
Zoe	0.0567223
Carolyn	0.0566832
Suzanne	0.0566327
Danielle	0.0564149
Ariel	0.0562537
Vanessa	0.0560863
Roberta	0.0558679
Maria	0.0558382
Julie	0.0554059
first-grader	0.0549963
"two pitchers"	0.0549915
Olga	0.0548302
alicia	0.0546095
Batouty	0.0545096
Jamie	0.0542219
Natasha	0.0539691
Liz	0.0539568
Jill	0.053698
Stella	0.0534829
Jeanne	0.0533089
Hannah	0.0532943
Joshua	0.0526166
Max	0.0526019
becky	0.0522755
Shannon	0.0522694
Helene	0.0521668
Bianca	0.0521459
Lara	0.0520477
Stephanie	0.0515865
Annette	0.0514012
Madeline	0.0513649
Kathy	0.0513318
Laura	0.0512408
Hogarth	0.0512347
Alexandra	0.0510812
Claudia	0.0510773
anna	0.0510041
"Indira Gandhi"	0.0508435
Ellen	0.0507061
Ethel	0.0504399
Meg	0.050253
Edwin	0.0501362
Jonathan	0.0501158
Theron	0.0501074
Margaret	0.0500453
Sean	0.0500141
Samuel	0.0498615
Caroline	0.0498511
Carla	0.0497603
Cristina	0.0494008
Maggie	0.0493627
Cody	0.0493536
Jackie	0.0492809
Denise	0.0491001
Brenda	0.0490304
Cindy	0.0489659
Marian	0.0489533
Kathleen	0.048797
Leah	0.0485574
Madeleine	0.0485035
Marlene	0.0480417
Steven	0.0479377
Lucy	0.0478771
Jessie	0.0478502
"Megawati Sukarnoputri"	0.0478152
Nicole	0.0477622
Miriam	0.0476176
Beverly	0.0465795
Patricia	0.0464833
Erica	0.0463922
Martha	0.0462265
Ella	0.0461884
Robbie	0.046071
Valerie	0.0460381
Maureen	0.0460285
granddaughter	0.0459933
Cassandra	0.0459184
Barbara	0.0458724
Deborah	0.0457594
"shipwreck survivor"	0.0456811
Irina	0.0455398
Catherine	0.0454543
Cameron	0.0452819
Marguerite	0.0452719
Kodikian	0.0452293
Annie	0.0452143
Lauren	0.0452057
gloria	0.0451404
Polgar	0.0450872
Casanova	0.0448569
Dubus	0.0448356
Heidi	0.0447813
"Anne Frank"	0.0447373
Lisa	0.044649
Steffi	0.0446216
Kyle	0.044497
Eva	0.0443943
bloke	0.0442022
pug	0.0441976
Shelby	0.0441109
Vivian	0.0440531
Marisleysis	0.0440166
Galbraith	0.0439441
Trevor	0.0439246
Akayesu	0.0438168
Bedell	0.0437752
Gabriel	0.0437748
"Bridget Fonda"	0.0436457
Michele	0.043629
ALLISON	0.0434743
Juan	0.0434243
Huffington	0.0434081
Irene	0.0433714
"waiting game"	0.0432037
Karen	0.0431455
Chloe	0.0431392
Kristin	0.0431256
Robin	0.0429658
Megan	0.042917
Jenny	0.0429094
Machado	0.042877
MAMET	0.0428002
Ashbrook	0.0427125
Sally	0.0426429
Elena	0.0426135
Blondie	0.0425993
Angela	0.0425991
Alan	0.0424777
"Patsy Ramsey"	0.0424767
Iceman	0.0423513
Bryce	0.042314
courtesan	0.0421603
Speer	0.0421069
Nikki	0.0420384
derrick	0.0420289
Ozersky	0.0420111
Collin	0.0419683
Justin	0.0419456
Tim	0.0417731
Kimberly	0.0417129
hazel	0.0416962
Walt	0.0416879
Sebastian	0.0416546
Ian	0.0416207
Barrie	0.0415931
Brandon	0.0415499
))
("Bridget Fonda" (desc 1926.92) (sims
"Bill Pullman"	0.133921
"Oliver Platt"	0.122892
"Angelina Jolie"	0.111263
Tucci	0.110823
"Bill Paxton"	0.109885
"Halle Berry"	0.106751
"Claire Danes"	0.106139
"Drew Barrymore"	0.101417
"Stanley Tucci"	0.0996368
"Nathan Lane"	0.0868918
"Minnie Driver"	0.08685
Barrymore	0.0813075
"John Lithgow"	0.0799223
"Famke Janssen"	0.0772152
"Gillian Anderson"	0.0771566
"Kim Basinger"	0.0763792
"Ashley Judd"	0.0759171
"Sandra Bullock"	0.0736133
"David Arquette"	0.0732687
"Vince Vaughn"	0.0722977
"Brendan Fraser"	0.0719576
"Liam Neeson"	0.0702214
Lou	0.0697358
Doris	0.0690768
"Cate Blanchett"	0.0688034
"Kris Kristofferson"	0.0687181
bullock	0.0654467
Meg	0.0638643
"Ben Affleck"	0.062891
"Sarah Jessica Parker"	0.0619437
"Ben Stiller"	0.0611037
"Cameron Diaz"	0.0606475
Sadie	0.0601335
"Spencer Tracy"	0.0597499
"Sarah Michelle Gellar"	0.0597074
"Leelee Sobieski"	0.0595302
"John Cusack"	0.0575242
"Jon Voight"	0.057295
gonzo	0.057179
"Glenn Close"	0.0569348
"Janeane Garofalo"	0.0552408
"Edward Furlong"	0.0546653
"Harvey Keitel"	0.0545584
"Morgan Freeman"	0.0543245
"Chow Yun-Fat"	0.0540361
Connie	0.0538727
"Patrick Stewart"	0.053612
"Sela Ward"	0.0531422
"Hank Azaria"	0.0527586
"Alicia Silverstone"	0.0522861
"Ethan Hawke"	0.0520503
"Ally Sheedy"	0.0509195
"Robert DeNiro"	0.0502896
"Martin Lawrence"	0.0501612
"Billy Bob Thornton"	0.0497798
Olga	0.0497049
"Jennifer Love Hewitt"	0.0494503
"Peter Fonda"	0.0490866
Yarmila	0.0489681
"Tracey Ullman"	0.0486831
"James Van Der Beek"	0.0485992
"Renee Zellweger"	0.0484997
"Woody Harrelson"	0.0483121
Hadassah	0.0479736
Costner	0.0475123
"Matt Damon"	0.0473999
"Dame Judi Dench"	0.047326
"Carmen Electra"	0.0472758
"Eddie Murphy"	0.0471695
"Gwyneth Paltrow"	0.0471291
"marriage license"	0.0471108
"William Hurt"	0.0469643
Rhonda	0.0469069
"Natasha Richardson"	0.0468464
"Azizah Ismail"	0.0468165
"Billy Crudup"	0.0467424
"Alec Baldwin"	0.0466024
"Nick Nolte"	0.0464013
"James Earl Jones"	0.0463734
"Kathleen Turner"	0.0462226
Jacob	0.0461848
"Jamie Lee Curtis"	0.0461742
"Geoffrey Rush"	0.0459557
"Walter Matthau"	0.0457848
"Christian Bale"	0.0456452
"Richard Dreyfuss"	0.0455031
"Matthew McConaughey"	0.0454237
"John Goodman"	0.0452179
"Sally Field"	0.0451013
"Christian Slater"	0.0450827
"Lauren Bacall"	0.0449845
"Liv Tyler"	0.0445805
Winnie	0.0445482
"Albert Brooks"	0.044434
"Uma Thurman"	0.0444043
Marcia	0.0443908
"Julianne Moore"	0.0443734
"Henry Fonda"	0.0443191
"Ian Holm"	0.0442653
"Kevin Bacon"	0.0442594
ROUNDERS	0.043996
"Jeremy Irons"	0.0439347
Marge	0.0437464
Bridget	0.0436457
"Vivien Leigh"	0.0436392
"Joan Allen"	0.0435623
"Tom Selleck"	0.0433833
"Sean Penn"	0.0433822
"Val Kilmer"	0.0430728
"Joseph Fiennes"	0.0429938
"Wesley Snipes"	0.0429751
"Kirk Douglas"	0.042947
"Richard Gere"	0.0429375
"Diana Ross"	0.0427407
"Heather Graham"	0.0420955
"Vanessa Redgrave"	0.0420498
"Michael Douglas"	0.0420153
Millie	0.0417253
"Juliette Lewis"	0.0417053
"Jamie Foxx"	0.0416671
Eileen	0.0415089
"Natalie Portman"	0.0414277
"Dennis Hopper"	0.041362
"Steve Martin"	0.041347
"Catherine Deneuve"	0.0413219
alicia	0.0412285
"Burt Lancaster"	0.0412112
Darlene	0.04116
"Bernadette Peters"	0.0411457
"Rob Lowe"	0.0409763
"Garry Shandling"	0.0408415
"Patsy Ramsey"	0.0407725
"Sidney Poitier"	0.040731
Audrey	0.0406237
"Dolly Parton"	0.0405312
Diggs	0.0404759
"Emily Watson"	0.0404578
Cherie	0.0400517
))
(Bridgewater (desc 1837.36) (sims
"East Orange"	0.183774
Bloomfield	0.171429
"West Orange"	0.16945
Englewood	0.16795
Morristown	0.160604
Chatham	0.1606
"Fort Lee"	0.154691
Braintree	0.154198
Watertown	0.15069
"Cherry Hill"	0.144506
"Union City"	0.144219
Groton	0.139504
Lawrenceville	0.1386
Westfield	0.138218
Medford	0.136232
Norwalk	0.135131
Fairfield	0.122168
Easton	0.120855
Rutherford	0.120849
LAKEWOOD	0.120407
Hackensack	0.118181
Holyoke	0.117624
Somerville	0.116747
Pittsfield	0.116299
Middletown	0.116179
Westport	0.115134
Secaucus	0.112277
Paterson	0.111563
Milford	0.111476
Montclair	0.111349
Salisbury	0.110799
"Sioux Falls"	0.110727
Williamstown	0.109661
Ridgewood	0.108523
Hillsboro	0.108519
Randolph	0.108258
"New London"	0.107185
Waltham	0.106559
"New Canaan"	0.10583
Farmington	0.105057
Acton	0.104732
"Fall River"	0.104134
Brockton	0.103108
"Ocean City"	0.101691
Aberdeen	0.101655
Norwood	0.101196
Woodbridge	0.100096
Woburn	0.0988932
Hoboken	0.0982643
"Bergen County"	0.0980554
Dorchester	0.0960883
"El Segundo"	0.0960094
"Newport Beach"	0.0952732
Wildwood	0.0947032
"Rocky Mount"	0.0946044
Somerset	0.0943523
Needham	0.0940063
"Van Nuys"	0.0933358
Clifton	0.0922936
Stratford	0.0920661
Framingham	0.0920583
Denton	0.0920079
"Round Rock"	0.0919477
Stamford	0.0915968
Greco	0.0915682
Maynard	0.0915179
Weston	0.0895797
Exeter	0.0887273
Danbury	0.0884933
"Port Elizabeth"	0.0880528
Tokaimura	0.0878444
Suwanee	0.0874183
Greenwich	0.0869421
Torrance	0.0864823
Youngstown	0.0862815
Pomona	0.0862347
Webster	0.0860347
Roxbury	0.0860036
"Sandy Springs"	0.0859099
Wallingford	0.0856617
"Monmouth County"	0.0856518
Quincy	0.085446
Bensonhurst	0.0847084
Sunnyvale	0.0845097
Burlington	0.0841617
Deerfield	0.0837778
Fremont	0.0837347
Wilton	0.0836826
"Essex County"	0.0835322
Windsor	0.0834203
"Sussex County"	0.0829845
Riverdale	0.0829602
Duluth	0.082773
Redding	0.0826953
Poughkeepsie	0.0826623
bethel	0.0822724
"Shah Alam"	0.0820788
Charlestown	0.0819031
Waterford	0.0818337
Chester	0.081201
Wellesley	0.081039
Salem	0.0806625
Renton	0.0806189
"Delray Beach"	0.0804009
Stockbridge	0.0801951
"Westlake Village"	0.080151
"Garden City"	0.0798116
Wilmington	0.0796356
"Research Triangle Park"	0.0794835
Andover	0.0793431
Falmouth	0.0789021
Greenfield	0.078849
"New Bedford"	0.0786889
Linden	0.0785096
Winchester	0.0781135
Mina	0.0778224
Carlisle	0.0776885
Kent	0.0774007
"East Rutherford"	0.0773875
"Highland Park"	0.0773271
Beverly	0.0770946
Avon	0.0767279
Marlborough	0.076326
"Palm Beach Gardens"	0.0762851
BRIGHTON	0.076216
Sparta	0.0758673
Northampton	0.0754933
Heidelberg	0.074881
Bayonne	0.0744855
Walpole	0.0743506
Spartanburg	0.0742594
Ashland	0.0741468
"Warren County"	0.0741094
"Crystal City"	0.074046
Yonkers	0.0734161
Soweto	0.0733103
Madison	0.0732538
Durham	0.0730564
Smyrna	0.0730093
Naperville	0.072985
Dearborn	0.0729808
Lawrence	0.072848
Nilsson	0.0726926
"White Plains"	0.0725563
Elmira	0.0725493
Ramsey	0.0725387
Martinsville	0.072501
"Hyde Park"	0.0724954
Brookline	0.0724225
Hanover	0.0723103
Concord	0.0722361
Passaic	0.0717106
Camden	0.0717014
Irvington	0.0716084
harrison	0.071485
Moroni	0.0713476
Peabody	0.0712549
Arlington	0.0712394
Rockport	0.0712331
Chenoweth	0.0712293
Shriver	0.0711955
Dundalk	0.0711057
canton	0.0710599
Wichita	0.0707951
"Saratoga Springs"	0.0707709
"Thousand Oaks"	0.0706978
Cheshire	0.0706659
Derry	0.070659
Newark	0.0706053
franklin	0.0704844
"Fairfield County"	0.0703541
riverside	0.0703393
Alameda	0.0702823
Carrollton	0.0702145
Longview	0.0700982
Kettering	0.069972
Waterbury	0.0699706
Princeton	0.0699438
"New Haven"	0.0699253
Worcester	0.0696329
Newton	0.0695874
Alpharetta	0.0695741
Nashua	0.0695146
"Woods Hole"	0.0695005
Lynn	0.0692479
Essex	0.0691856
Norwich	0.0690446
"West Los Angeles"	0.0690287
ASHEVILLE	0.0689106
Gladstone	0.0688908
Wolfsburg	0.0687983
"TOMS RIVER"	0.0685683
Dubuque	0.068447
Boise	0.0681316
Plano	0.0681184
Palmdale	0.0680275
"Fort Dix"	0.0679691
Irving	0.0679422
Xenia	0.0679162
TRENTON	0.0678836
))
(brie (desc 2921.12) (sims
Roquefort	0.204947
Cheddar	0.144129
Gorgonzola	0.142712
mascarpone	0.119586
cheese	0.118196
FETA	0.11547
mozzarella	0.115399
nacho	0.114209
ricotta	0.105082
Parmigiano-Reggiano	0.100141
"goat cheese"	0.093661
macaroni	0.0925352
tomato	0.0925182
chevre	0.0924649
"blue cheese"	0.0920147
salami	0.0892804
"creme brulee"	0.0877578
canape	0.086155
Parmesan	0.0856972
hummus	0.0820405
"cream cheese"	0.0819274
ham	0.0819191
Souffle	0.0812678
Fondue	0.0792882
truffle	0.0792058
pasta	0.0780001
yogurt	0.0776761
"raw vegetable"	0.076874
"smoked salmon"	0.0765037
"pine nut"	0.0760092
"cottage cheese"	0.0756798
"beef tenderloin"	0.075676
Pate	0.0750121
polenta	0.0747683
custard	0.0747526
melon	0.0745479
"white bread"	0.0740093
"scrambled egg"	0.0737504
"pumpkin pie"	0.0722124
chard	0.070395
bacon	0.0693555
spinach	0.0693044
Calvados	0.0691025
sausage	0.0684119
"iceberg lettuce"	0.0675411
"Vidalia onion"	0.0674319
"peanut butter"	0.0672798
pear	0.0672195
"white wine"	0.0670353
venison	0.0668069
"roast beef"	0.066223
dumpling	0.0658625
"cold cuts"	0.065854
baguette	0.0654905
cracker	0.0654464
carrot	0.0654039
"oreo cookie"	0.0645558
olive	0.0640713
pastry	0.0634404
meatloaf	0.0633632
oreo	0.0631688
sushi	0.0625342
"salad dressing"	0.0624452
cooky	0.0622392
ravioli	0.0622212
spaghetti	0.0618351
focaccia	0.0612772
eggplant	0.0608681
tuna	0.0607515
birdbath	0.0606014
tortilla	0.0602707
RHUBARB	0.06026
terrine	0.0598108
Cognac	0.0598012
plantain	0.0593543
watercress	0.0590713
"foie gras"	0.0589853
mousse	0.0587861
"red wine"	0.0586659
leek	0.0585667
arugula	0.0584027
noodle	0.0583022
"pie shell"	0.0578917
fraiche	0.0577618
Tamale	0.0570733
prosciutto	0.0567781
"egg yolk"	0.0566469
quiche	0.0566323
"cherry tomato"	0.0566177
vinegar	0.056399
buns	0.0563232
"hot dog"	0.0562999
cheesecake	0.0560205
tofu	0.0560068
"sweet potato"	0.0556936
croissant	0.0555269
brioche	0.0554809
Beaujolais	0.0554401
mango	0.055434
pasty	0.0553224
"pie crust"	0.0551409
"ground beef"	0.0549791
"beef broth"	0.0547649
"whipped cream"	0.0546346
radicchio	0.054523
"tomato sauce"	0.0543161
dessert	0.0542754
scone	0.0542356
chilies	0.0541794
"french fries"	0.0539625
"corn chip"	0.0539409
"pork tenderloin"	0.0538948
hazelnut	0.0537521
walnut	0.0535886
Lasagna	0.0533287
Blanc	0.0532937
"macaroni and cheese"	0.0529003
shallot	0.0527754
zucchini	0.0527652
caviar	0.0526695
lobster	0.0524282
matzoh	0.0524232
oyster	0.0519933
lettuce	0.051904
champagne	0.0518863
apricot	0.0518183
TART	0.0517474
Vina	0.0516417
lentil	0.0512293
"green onion"	0.0512104
pineapple	0.0511164
"chicken breast"	0.0510191
"potato salad"	0.0509382
"lima bean"	0.0509132
"green salad"	0.0508875
kebab	0.0508441
"M&AMP;Ms"	0.0507354
Chianti	0.0506289
"layer cake"	0.0505654
"cream puff"	0.0505068
lemon	0.0502832
pretzel	0.0500625
biscuit	0.0499801
"bell pepper"	0.0497037
fig	0.0494796
pumpkin	0.0493193
papaya	0.0492414
cookie	0.0491728
avocado	0.0488464
pecan	0.0486278
breadcrumb	0.0485821
"citrus fruit"	0.0485809
"cream sauce"	0.0485293
"grated cheese"	0.0484952
Casserole	0.0484328
"chicken salad"	0.0480047
"olive oil"	0.0477103
"black bean"	0.0476733
Masa	0.047579
bun	0.0475413
appetizer	0.0472791
muffin	0.0471456
"Swiss chard"	0.0471386
Guerra	0.0470781
curd	0.0468254
watermelon	0.0466774
mussel	0.0466386
croutons	0.0465172
turnip	0.0464428
"potato chip"	0.0463749
paella	0.0463465
veal	0.0460402
"spaghetti sauce"	0.0459623
"Grand Marnier"	0.0458535
"Swiss cheese"	0.0458495
horseradish	0.0458053
"green bean"	0.0457363
noisemaker	0.04569
scallion	0.0456786
crumb	0.0456318
tarragon	0.0454813
seafood	0.0454173
cabbage	0.0452479
risotto	0.0450376
"sparkling wine"	0.0450199
crostini	0.0448842
mayonnaise	0.0448351
"pork loin"	0.0447499
cornbread	0.0446961
tenderloin	0.0445105
mustard	0.0444538
bourbon	0.0443939
Ville	0.0443649
"apple pie"	0.0440159
Collard	0.043942
molasses	0.0438205
"tortilla chip"	0.0436056
low-fat	0.0435626
mano	0.0435545
creme	0.0433948
))
(brief (desc 34803.9) (sims
"legal brief"	0.139177
affidavit	0.103401
filing	0.0982636
petition	0.0864875
document	0.0835244
argument	0.0831851
letter	0.0785654
rebuttal	0.077766
memo	0.0768226
article	0.0758248
statement	0.0755404
motion	0.0752178
ruling	0.0710975
appeal	0.0688062
testimony	0.0681189
"charge sheet"	0.0669308
memorandum	0.0666503
lawsuit	0.0646905
prospectus	0.0642673
paper	0.0642325
speech	0.0634829
hearing	0.0634178
summary	0.062765
transcript	0.0618316
briefing	0.0617839
request	0.0612828
essay	0.0607362
opinion	0.0603305
suit	0.0596153
interview	0.0586052
complaint	0.0585592
indictment	0.0584798
recommendation	0.0581553
deposition	0.0580666
questionnaire	0.0580267
Declaration	0.056311
analysis	0.0562137
verdict	0.0561118
manifesto	0.0554391
subpoena	0.055059
commentary	0.054829
"white paper"	0.0547944
comment	0.0547266
proposal	0.0547184
communique	0.0546535
"finding of fact"	0.0544804
presentation	0.0542989
"news release"	0.0542622
"legal document"	0.0542327
advertisement	0.0535088
AD	0.0533075
text	0.0532946
brochure	0.0532794
"magazine article"	0.0529889
"newspaper article"	0.0529007
referral	0.0527143
biography	0.0520464
column	0.0519478
proceeding	0.0512833
diary	0.0510885
remark	0.0509587
guideline	0.0500949
"news conference"	0.0496277
editorial	0.0491585
evidence	0.0491366
"press release"	0.04913
"progress report"	0.0490742
response	0.0490252
witness	0.0489522
message	0.0487768
bulletin	0.0485209
lecture	0.0485019
sermon	0.0484188
"news story"	0.0482307
page	0.0482034
investigation	0.0478619
announcement	0.047393
"open letter"	0.0472273
underwear	0.0470079
plea	0.0469691
decree	0.0468916
booklet	0.0468631
inquiry	0.0467767
pamphlet	0.046698
application	0.0465503
manual	0.0463913
correspondence	0.0461026
email	0.046059
data	0.0460586
profile	0.0456051
audit	0.0452187
pleading	0.0445716
conversation	0.0444965
resolution	0.0444124
"press conference"	0.0443381
paragraph	0.0442161
journal	0.0441097
commercial	0.0437683
excerpt	0.0437331
submission	0.0435446
narrative	0.0434875
dossier	0.0433849
apology	0.0429928
"defense team"	0.0426612
obituary	0.0423817
writing	0.0423244
"tax return"	0.0422604
nomination	0.0422139
allegation	0.0420655
litigation	0.0418334
catalog	0.0418188
memoir	0.0417433
edition	0.0417261
documentary	0.041699
forum	0.0416853
paperwork	0.0416782
poem	0.0414179
autobiography	0.0413991
"telephone call"	0.0413356
finding	0.0412718
textbook	0.04123
directive	0.0408944
advice	0.0408513
confession	0.0407564
citation	0.0406837
warning	0.040678
headline	0.04064
patent	0.0405903
suggestion	0.0405656
Circular	0.0405027
newsletter	0.0403662
assessment	0.0403033
dissent	0.040261
"financial statement"	0.0402432
critique	0.0402354
manuscript	0.0400754
blueprint	0.040041
))
(briefcase (desc 15977.1) (sims
suitcase	0.213356
backpack	0.183503
"duffel bag"	0.154503
bag	0.140412
purse	0.139133
"shopping bag"	0.135222
handbag	0.131993
wallet	0.127311
satchel	0.122227
luggage	0.112975
"paper bag"	0.107615
pocketbook	0.104539
knapsack	0.102721
"garbage can"	0.101031
box	0.0986691
pouch	0.0982022
envelope	0.0978537
pocket	0.0978227
drawer	0.097051
binder	0.0966563
tote	0.0952616
folder	0.0937165
trunk	0.0897521
crate	0.0895893
"laptop computer"	0.0872815
container	0.0853412
notebook	0.0841618
cooler	0.0823501
"book bag"	0.0813906
"glove compartment"	0.0807845
bottle	0.0802179
Bin	0.0796339
clipboard	0.0793251
sock	0.0779752
"shopping cart"	0.0777725
closet	0.0773253
shoe	0.0759114
sack	0.0754208
hat	0.0747444
loafer	0.074532
jacket	0.0738506
belonging	0.0737883
coat	0.0729656
"file cabinet"	0.0722703
bucket	0.0722558
"golf bag"	0.0717232
"two bags"	0.0714834
scarf	0.0713014
boot	0.0711783
pant	0.0703159
beepers	0.0697135
jar	0.0697096
mailbox	0.0695277
jug	0.0693676
"baseball cap"	0.0688353
tray	0.0686307
holster	0.0683218
overcoat	0.0681353
raincoat	0.0670417
shirt	0.0670123
trouser	0.0664271
pillow	0.0659887
"water bottle"	0.0658876
belt	0.0655548
"tote bag"	0.065473
shawl	0.0653691
laptop	0.0646442
"tape recorder"	0.0645475
"golf club"	0.0645187
T-shirt	0.0644354
wheelbarrow	0.0642726
sweater	0.0640234
mattress	0.0640112
cloth	0.0637372
carton	0.0636102
umbrella	0.0635899
sneaker	0.0635834
"Jeep Cherokee"	0.0634974
waistband	0.0634073
baggage	0.0630917
pail	0.0630374
sunglasses	0.0628581
beeper	0.0626765
"trash can"	0.0617152
helmet	0.0616759
compartment	0.0605818
Clothing	0.0603443
locker	0.060248
glove	0.0602254
stack	0.0599432
bundle	0.0598283
cupboard	0.0597039
"fax machine"	0.0595288
checkbook	0.0594972
"cargo container"	0.0594301
slipper	0.0593952
"teddy bear"	0.0593582
"CD player"	0.0593442
pencil	0.0591403
pullover	0.0588973
pen	0.0588657
"sleeping bag"	0.0586535
jewelry	0.0583782
windbreaker	0.0579782
freezer	0.0577712
collar	0.0577532
handkerchief	0.0576585
vase	0.0572951
"grocery bag"	0.057087
parcel	0.0570498
bathtub	0.0570079
stocking	0.0569326
"filing cabinet"	0.0565868
"phone book"	0.0565676
pager	0.0564069
wristwatch	0.0561509
canister	0.056118
pagers	0.0561024
pot	0.0560444
shotgun	0.0559353
flashlight	0.0558711
"fur coat"	0.0557112
sweatshirt	0.0556812
blanket	0.0555386
brogue	0.055536
vest	0.0551499
rifle	0.0550937
"hot pants"	0.0547307
cellphone	0.0546802
coffin	0.0546669
"cellular phone"	0.054452
"display case"	0.0542779
"fishing rod"	0.0542619
van	0.0542618
"life jacket"	0.0537678
"piece of paper"	0.0537489
pad	0.0537142
vial	0.0536485
wastebasket	0.0536143
glass	0.0536033
desktop	0.0533339
"picture frame"	0.0530103
Rolodex	0.0529318
legging	0.0527298
camera	0.052702
disk	0.0526276
bookcase	0.0526102
cooker	0.0525339
eyeglass	0.0525328
refrigerator	0.0525048
Dumpster	0.0524048
pistol	0.0520911
casing	0.0518248
Bible	0.0517661
"cowboy boot"	0.0517226
walkie-talkie	0.0516272
cage	0.0515038
sleeve	0.0514765
"sports jacket"	0.0510259
tub	0.0508975
"loaf of bread"	0.0506203
pantsuit	0.0505102
rack	0.0502222
"medicine cabinet"	0.0501397
revolver	0.0501332
"life raft"	0.050099
necklace	0.049944
Casket	0.0499311
skirt	0.049796
bracelet	0.049689
"tennis shoe"	0.0496778
cavity	0.0496469
shelf	0.0495728
beret	0.0494773
passport	0.0494726
underwear	0.0493494
"cocktail dress"	0.0493348
accessory	0.0492596
wardrobe	0.0491952
headband	0.0490987
garage	0.0490715
"lounge chair"	0.0486616
sole	0.0486589
"coffee cup"	0.0485778
cane	0.0484542
cubicle	0.0482107
lantern	0.0481917
turtleneck	0.0481292
capsule	0.0481207
syringe	0.0480685
"ballot box"	0.0480592
necktie	0.0479847
pipe	0.0478798
tank	0.0478463
basket	0.0477872
packet	0.0475749
"gas tank"	0.0475062
trailer	0.0474549
camcorder	0.0473973
towel	0.047265
))
(briefing (desc 49715.6) (sims
"news briefing"	0.206016
"press briefing"	0.199613
"news conference"	0.188141
"press conference"	0.183256
meeting	0.148149
hearing	0.124917
luncheon	0.12299
seminar	0.122921
discussion	0.120425
"conference call"	0.11971
session	0.117477
statement	0.115308
interview	0.11347
speech	0.112386
conference	0.111706
teleconference	0.110635
consultation	0.107466
"council meeting"	0.106094
talk	0.105683
lecture	0.104015
symposium	0.102764
report	0.101605
ceremony	0.100912
comment	0.0998954
forum	0.0995506
"panel discussion"	0.0969023
debate	0.095167
workshop	0.0935201
presentation	0.0934607
remark	0.0923822
announcement	0.0886846
gathering	0.0879986
reception	0.0874508
summit	0.0872115
banquet	0.0834753
conversation	0.0832129
update	0.0828574
visit	0.0823707
testimony	0.0812983
deposition	0.0810763
"summit meeting"	0.0807025
"board meeting"	0.0802266
breakfast	0.0800335
memo	0.0798796
Rally	0.0797951
deliberation	0.0797545
recommendation	0.0793351
"committee meeting"	0.0790939
dinner	0.0786227
address	0.0784008
document	0.0777546
"town meeting"	0.0768699
symposia	0.0751098
assessment	0.0750244
letter	0.0736831
negotiation	0.0733659
lunch	0.0727187
information	0.071348
review	0.0710226
Roundtable	0.0705963
memorandum	0.0704507
fund-raiser	0.0689552
inquiry	0.0684589
investigation	0.0676241
"telephone call"	0.0672567
questioning	0.0670514
appearance	0.066844
"progress report"	0.0664289
analysis	0.0661772
"open house"	0.0658193
Exhibition	0.0654872
"phone call"	0.065133
Declaration	0.0648823
examination	0.0648521
interrogation	0.0646156
concert	0.0639652
evaluation	0.0637549
chat	0.0634749
demonstration	0.0633844
proceeding	0.0631105
tour	0.0630019
workout	0.0622173
agreement	0.062049
event	0.0619924
brief	0.0617839
screening	0.0615626
"group discussion"	0.0609517
"practice session"	0.060924
proposal	0.0609039
"prayer service"	0.0606191
communique	0.0605813
celebration	0.0604053
"telephone conversation"	0.0602658
inspection	0.0599253
reporter	0.0594315
warning	0.0593845
"church service"	0.0593345
preview	0.0589393
disclosure	0.058865
trip	0.0588199
trial	0.0581259
"telephone interview"	0.0577355
funeral	0.0574629
detail	0.0573703
fair	0.0571967
decision	0.0570573
conclusion	0.056926
article	0.0567143
assurance	0.0566767
Exposition	0.0566119
appointment	0.0557081
request	0.0550976
festivity	0.0549795
rehearsal	0.0549682
clarification	0.054917
argument	0.0549042
opinion	0.0548976
"cocktail party"	0.0548832
parade	0.05482
training	0.0548123
audit	0.0547176
sermon	0.0547054
opening	0.0546014
arraignment	0.0545199
inauguration	0.0544999
directive	0.0544794
explanation	0.0544537
voting	0.054434
paper	0.0542947
pronouncement	0.0541316
message	0.0539
commentary	0.0537958
checkup	0.0536913
summary	0.0536567
filing	0.0534417
reporting	0.0531988
advice	0.0529391
gala	0.0526755
"final decision"	0.0524332
survey	0.0524213
dialogue	0.0524135
function	0.0522637
auction	0.0522527
convention	0.0518908
newsmen	0.0518722
Mission	0.0516056
"training program"	0.0515803
ruling	0.0515109
research	0.0513559
"press release"	0.0512406
instruction	0.0512099
invitation	0.0512064
broadcast	0.0511775
election	0.0504968
Exam	0.0504401
"news release"	0.0502179
caucus	0.0500088
recital	0.0499994
suggestion	0.0499686
vigil	0.0499317
rebuttal	0.0496991
signing	0.0495004
unveiling	0.0493948
panel	0.0493791
prayer	0.0493775
balloting	0.0493585
plea	0.0493554
data	0.0492823
tasting	0.0492201
exercise	0.0491046
committee	0.0490462
stopover	0.0489968
action	0.048737
"news report"	0.0486706
scrimmage	0.0486556
"pep rally"	0.0486403
complaint	0.0482185
verdict	0.0480504
two-day	0.0479791
"medical examination"	0.0478227
tutorial	0.0477246
referendum	0.0475936
activity	0.0475572
guideline	0.0474171
consensus	0.0472996
raid	0.0472905
affidavit	0.0472835
resolution	0.047135
"art exhibition"	0.0470919
"Kofi Annan"	0.0470771
newsletter	0.0467088
commemoration	0.0466336
"closed session"	0.046629
criticism	0.0466288
encounter	0.0465861
drill	0.0465674
feedback	0.0464313
contest	0.046382
Congress	0.0463004
"dinner party"	0.0462823
))
(BRIER (desc 1408.96) (sims
Massey	0.0901763
Swenson	0.081758
Alexie	0.0817317
Thurman	0.0751443
Baugh	0.0709155
Pagones	0.068142
Darnell	0.0669472
Felton	0.0644518
Triplett	0.0636816
"Cider House"	0.0634263
Shawnee	0.0631358
Breyer	0.0629215
Goldsmith	0.0603345
Szabo	0.059295
Leyland	0.0584246
Groening	0.0576034
Ozersky	0.0539878
Harrell	0.0535462
Royce	0.0531339
Saleh	0.0529647
Brosnan	0.0529225
bramble	0.0528654
Solondz	0.0525992
Crocker	0.0525353
Batouty	0.0520108
Pearce	0.0516595
Halberstam	0.0512021
Cleese	0.0509892
"solicitor general"	0.0508861
"Willem Dafoe"	0.0505029
Moser	0.0502571
Bolton	0.0499935
Boller	0.0489848
Edelstein	0.0480781
Jorgensen	0.0480262
Guan	0.0470464
Halloran	0.04614
Krugman	0.0460598
Soderbergh	0.0460303
Neff	0.0458312
Peoples	0.0458001
Wald	0.0456743
Hobson	0.0452826
Stillman	0.0452644
Gores	0.0450381
Sobel	0.0450132
Plano	0.0444679
Keady	0.0443328
McCormack	0.0439825
Sheehy	0.0437824
Ulrich	0.043781
Chappell	0.0437637
Doan	0.0432001
Ono	0.0431497
Wildhorn	0.0429232
LeBlanc	0.042811
Auerbach	0.0427677
Stahl	0.042759
Adele	0.0425472
Quintana	0.0424976
Bettman	0.0423961
McCombs	0.0422349
Britton	0.0421128
Coulter	0.0421081
plasterboard	0.0419895
Ambrose	0.0419117
Kurtz	0.0418949
Hamlin	0.0414819
Clifton	0.0414785
"Vivien Leigh"	0.0414643
Chrissie	0.0413128
Remnick	0.0412619
Qureshi	0.0412086
Hadley	0.0411916
Giordano	0.0410781
"Jim Leyland"	0.0410457
Cr	0.0409534
Rowan	0.0408892
Ratner	0.0405449
Redford	0.0404934
Ishihara	0.0404838
Perdue	0.0401993
Margolis	0.0400277
))
(Briere (desc 822.972) (sims
Broaddrick	0.117758
Reichel	0.111749
Woolley	0.0985811
Scalabrine	0.0984224
Szczerbiak	0.0978707
"Dimitrius Underwood"	0.0977283
Colburn	0.0959408
Smolinski	0.0911161
Norstrom	0.0907263
"Di Canio"	0.0900417
Kamensky	0.0899944
Skiles	0.0889395
Rucchin	0.0885112
"Einar Diaz"	0.0883664
Alioto	0.0871348
"Kevin Faulk"	0.0866011
MacInnis	0.0862071
LaPointe	0.0860245
"Wilton Veras"	0.0858679
Longley	0.0856876
"Dez White"	0.0851509
"Ed Yarnall"	0.08387
LeClair	0.0837456
Odom	0.0830341
Daigle	0.081927
Sabonis	0.081364
"Paul LoDuca"	0.0810282
Holdsclaw	0.08081
Chouinard	0.0806554
Tevanian	0.0806076
"Manny Malhotra"	0.0805471
Lobo	0.0803518
Maurizi	0.0802172
"Bruce Aven"	0.0796311
Maggette	0.0795466
PRONGER	0.0792281
Menchu	0.0789788
Yzerman	0.078727
Peca	0.0784898
hodgson	0.0783313
Andreychuk	0.0783211
Trepagnier	0.0782021
"Scotty Bowman"	0.0780599
"Donald Audette"	0.0778032
Harbaugh	0.0773533
Barrie	0.0772536
"Manny Legace"	0.07706
"Brenden Morrow"	0.0765155
DERSHOWITZ	0.0763664
Recchi	0.0758131
"Mike Lamb"	0.0751644
Niedermayer	0.0748487
Smits	0.0748442
Abdur-Rahim	0.0740888
Sydor	0.0734942
Alcantara	0.0733505
"Ryan Glynn"	0.0732394
Neely	0.0731816
Weinke	0.0731524
Gorter	0.0730589
"Leon Smith"	0.0730271
Boller	0.0729509
Moeller	0.0727188
"Tim Dwight"	0.0726148
"Clay Bellinger"	0.0725286
Langenbrunner	0.0719077
Hecht	0.0718712
"Yao Ming"	0.0718451
Arnott	0.0716151
Nowitzki	0.0715283
Fleury	0.0714994
Hersh	0.0714983
Artest	0.0707837
"Scott Gomez"	0.0705014
"Kris Clack"	0.0701466
"Chris Drury"	0.0697937
"Wang Zhizhi"	0.0696305
Kodikian	0.0695721
Mabry	0.0693683
"Jason Williams"	0.0693345
"Randall Simon"	0.0693036
Jonsson	0.0690703
Laudrup	0.0690235
Lehtinen	0.0689626
Henning	0.0688836
Lacroix	0.0685439
Holik	0.0685405
"Dirk Nowitzki"	0.0682896
Trulock	0.0680115
Marion	0.0679789
Tverdovsky	0.0676895
Alicea	0.0675155
"Benoit Hogue"	0.0674711
Applegate	0.0671117
Sykora	0.0669869
Kearse	0.0669527
"Erubiel Durazo"	0.0668664
"Brett Hinchliffe"	0.0667524
Lue	0.0666106
Antoine	0.0664827
Kariya	0.0663915
Laperriere	0.0662916
"Lou Holtz"	0.0662763
Batistuta	0.0660644
Lennox	0.0660609
Bierhoff	0.0659744
Cleaves	0.0658359
Carrera	0.0658281
FAWCETT	0.0657764
"Byung-Hyun Kim"	0.0657683
Divac	0.0657617
Burrell	0.0657519
Glaser	0.0657237
MacLean	0.0656347
Janssen	0.0655977
"Warren Morris"	0.0655807
"Chauncey Billups"	0.065369
Blackman	0.065329
Voskuhl	0.0651911
Reimer	0.0650413
Swenson	0.0650348
"Jason Terry"	0.0648645
Musa	0.0646221
Fiorina	0.0645352
"Kevin Johnson"	0.0644055
Audette	0.0643422
Khorkina	0.0642912
Nailon	0.0641162
Duchesne	0.0640746
Etcheverry	0.064071
Luethke	0.0636116
Radojevic	0.0635725
Chamberlain	0.0635166
Brundtland	0.0632653
Monahan	0.0632535
Maradona	0.063232
Turetzky	0.0632242
"Michael Dickerson"	0.06321
"Angel Pena"	0.0631143
"Kenny Thomas"	0.0630762
Mashburn	0.0629655
Milbrett	0.0629554
Carbonneau	0.062909
"Paul Pierce"	0.0628822
Modano	0.0627865
Primeau	0.0627461
"Raef LaFrentz"	0.0627088
"Jarvis Turner"	0.0626602
Mutombo	0.0626132
Katzenberg	0.0625409
"Jose Jimenez"	0.0625357
"Ken Daneyko"	0.0625232
"Brad Miller"	0.0620357
McIlvaine	0.0619292
Najera	0.0618192
Walser	0.0617342
"Malik Rose"	0.0617083
Bulatovic	0.0616201
"Olli Jokinen"	0.0616096
Graziani	0.0615754
"Terrence Long"	0.0614447
"Ruben Patterson"	0.0612165
Leetch	0.0609282
Gooding	0.060832
Plante	0.0607938
Mihm	0.0607408
Moiso	0.0607202
"Jon Sim"	0.060688
Stumpel	0.0606726
Hlavac	0.060617
Bullard	0.0605947
Robitaille	0.0605459
Pickens	0.0605238
Anelka	0.0605184
"Flozell Adams"	0.060453
Paus	0.0604308
Schoenfeld	0.0600778
Nesby	0.0599787
Gangelhoff	0.0599711
"Ron Dayne"	0.0599585
Perrot	0.0598919
Shayler	0.0598617
"Elton Brand"	0.0598422
Khristich	0.0598232
Dyson	0.0597317
Kerr	0.0595562
"Jennifer Gillom"	0.0595524
Chrebet	0.0595013
McGill	0.0594976
Cummings	0.0594739
Stoneman	0.0594685
"Kevin Williams"	0.0594042
Heinze	0.0592547
"Matt Luke"	0.059143
"Chad Pennington"	0.0591142
Curley	0.0590002
McGowan	0.0589557
Sahadi	0.058869
"John Avery"	0.0586633
Madden	0.0586548
))
("Brierley Investment" (desc 2483.4) (sims
"Carter Holt Harvey"	0.58706
"Fletcher Energy"	0.526203
"Fletcher Building"	0.521568
"Fletcher Paper"	0.510435
"Air New Zealand"	0.480223
"Fletcher Forest"	0.474759
"Auckland Airport"	0.462655
"Brierley Investments"	0.462547
"Lion Nathan"	0.458592
"Contact Energy"	0.399029
"Fletcher Forests"	0.389426
Telecom	0.179567
AMP	0.174883
"Second Board Index"	0.163718
"Straits Times Index"	0.163294
ANZ	0.16249
Telstra	0.159625
SPH	0.157114
Westpac	0.154606
"Industrial Index"	0.154216
Fletcher	0.153177
"Wireless Optus"	0.152393
Ansett	0.147793
"Sky TV"	0.146739
"Emas Index"	0.141015
"Commonwealth Bank of Australia"	0.13821
"Rio Tinto"	0.125582
WMC	0.124482
"Nikkei Stock Average"	0.123635
"Straits Times Industrials Index"	0.123276
"Tokyo Stock Price Index"	0.120203
"Commonwealth Bank"	0.119281
"National Australia Bank"	0.112039
CAC	0.111847
"Creative @@"	0.1101
"CAC @@"	0.108917
"City Development"	0.108551
"GE Life"	0.102631
DAX	0.102391
"F&AMP;N"	0.10066
CAC-@@	0.0999684
"Xetra Dax"	0.0983566
"Composite Index"	0.0977946
FT-SE	0.097438
BHP	0.0964637
"Philippine Stock Exchange Index"	0.0962057
sub-index	0.095875
"Hang Seng China-Affiliated Corporations Index"	0.0921692
SIA	0.0916563
"Weighted Price Index"	0.0889271
"FTSE @@@"	0.0885392
Nikkei	0.0879274
"Hang Seng"	0.0876596
"preferred shares"	0.0866712
"Hang Seng Index"	0.0865422
"Hang Seng China Enterprises Index"	0.0847233
UOB	0.0842453
Qantas	0.0837021
HSI	0.0832824
"News Corp"	0.0819504
STI	0.0805738
"SPH @@@"	0.0800577
"Philippine peso"	0.0762798
Sensex	0.0761431
"JDS Uniphase"	0.0756424
"Dow Jones Industrial Average"	0.0751716
warrant@@	0.0743838
PacCent	0.0737702
"Singapore Airlines"	0.071464
w@@	0.0712919
"ordinary shares"	0.0712292
"retail price index"	0.0707204
"Kenyan shilling"	0.0700778
scrip	0.0673871
CRA	0.0670799
db	0.066219
"Eli Lilly"	0.0662179
Composite	0.064888
Bovespa	0.0648878
"Singapore Press Holdings"	0.0625
"one cent"	0.0624295
sub-indices	0.0600394
RAMBUS	0.0599725
Schering-Plough	0.0599554
industrials	0.0595018
Merck	0.059097
"bond price"	0.058798
OCBC	0.0582479
"HSBC Holdings"	0.0581777
"Sensitive Index"	0.0571244
"Chase Manhattan"	0.0566208
Bahraini	0.0562244
"aircraft order"	0.0551248
"eight cents"	0.0548743
"consumer price index"	0.0544402
Woodside	0.0541699
"Exxon Mobil"	0.0538573
"Bovespa Index"	0.0525514
"Bristol-Myers Squibb"	0.0523047
"five cents"	0.0523037
Schlumberger	0.0503924
"United Technologies"	0.050275
B-shares	0.0500624
"Texas Instruments"	0.0499704
"market average"	0.049809
shoring	0.0498074
fineness	0.0492384
"S&AMP;P"	0.0491754
"rate of inflation"	0.0490288
"producer price"	0.0488852
"factory order"	0.0487689
"Hutchison Whampoa"	0.0484714
caseloads	0.0478437
Grosjean	0.0476221
Kagwe	0.0475911
"NASDAQ Composite Index"	0.0472714
joblessness	0.0471339
"home sale"	0.046823
"J&AMP;J"	0.0462401
"Wal-Mart Stores"	0.046138
edging	0.0460336
"New Zealand dollar"	0.045734
Lufthansa	0.0455082
Barclays	0.0454993
"J.P. Morgan"	0.0454807
"poverty rate"	0.045088
Unisys	0.0449478
"futures price"	0.0449206
PictureTel	0.044913
Olano	0.0449115
"Commerce and Industry"	0.0448485
"Carlos Hermosillo"	0.0444219
"Johnson &AMP; Johnson"	0.0440803
trespasser	0.0440171
sharemarket	0.043661
"gas price"	0.0436172
"Producer Price Index"	0.0435249
"American Express"	0.0434993
Orders	0.0432862
"Hang Seng Bank"	0.043116
"Singapore dollar"	0.0429476
"Australian dollar"	0.0428974
"Cisco Systems"	0.0428076
"Micron Technology"	0.0427336
"Shaun Alexander"	0.0426904
"Hewlett Packard"	0.0426313
cyclicals	0.0426252
"Philippine Stock Exchange"	0.0425934
Weyerhaeuser	0.0424884
Immunex	0.0420005
Honeywell	0.0419875
"vehicle sale"	0.0419188
VENATOR	0.0419171
"Stock Exchange of Thailand"	0.041838
leu	0.0416042
paring	0.0415022
Qualcomm	0.0414373
Colgate-Palmolive	0.0412001
MidCap	0.0411743
Charley	0.0411136
"Eastman Kodak"	0.0409315
"Applied Materials"	0.0409078
"price pressure"	0.0408833
"Dell Computer"	0.040611
Lukoil	0.0402972
"B share"	0.0402966
Sautin	0.0401467
SunTrust	0.040041
))
("Brierley Investments" (desc 2409.65) (sims
"Fletcher Paper"	0.64648
"Fletcher Building"	0.633842
"Contact Energy"	0.63072
"Fletcher Energy"	0.594204
"Auckland Airport"	0.589634
"Fletcher Forest"	0.58278
"Fletcher Forests"	0.566128
"Lion Nathan"	0.527877
"Carter Holt Harvey"	0.509928
"Brierley Investment"	0.462547
"Air New Zealand"	0.352871
"Sky TV"	0.312191
AMP	0.209944
Fletcher	0.152233
Telecom	0.147107
"Wireless Optus"	0.134088
Telstra	0.131454
Ansett	0.123329
"Second Board Index"	0.114477
"Industrial Index"	0.109885
"Straits Times Index"	0.105048
"Emas Index"	0.104608
"Straits Times Industrials Index"	0.103284
"City Development"	0.0998512
Westpac	0.098301
"Tokyo Stock Price Index"	0.097641
"preferred shares"	0.0959416
"Nikkei Stock Average"	0.0953985
"Philippine Stock Exchange Index"	0.0919669
"CAC @@"	0.0918487
"Commonwealth Bank of Australia"	0.0898259
"GE Life"	0.0854589
WMC	0.0836299
"Commonwealth Bank"	0.0835842
"Creative @@"	0.0831672
ANZ	0.0827867
"Weighted Price Index"	0.0795275
"Rio Tinto"	0.0794986
STI	0.0771464
"National Australia Bank"	0.0771156
"Composite Index"	0.0763347
"F&AMP;N"	0.0698149
"Hang Seng China-Affiliated Corporations Index"	0.0692181
SPH	0.0691076
"Xetra Dax"	0.0683969
sub-index	0.0681024
warrant@@	0.0672442
HSI	0.067233
DAX	0.0658309
Qantas	0.0638414
Sanford	0.0637364
"Hutchison Whampoa"	0.0630698
"SPH @@@"	0.0630069
"Hang Seng"	0.0624364
UOB	0.0616955
Nikkei	0.0616368
"ordinary shares"	0.0616235
CRA	0.0615451
"Kenyan shilling"	0.0610995
CAC	0.0608224
"News Corp"	0.060504
"Hong Kong Telecom"	0.0597815
"one cent"	0.0592185
BHP	0.0590588
"Hang Seng Index"	0.0573469
SIA	0.0572946
"Sensitive Index"	0.0555365
w@@	0.0551235
CAC-@@	0.0543993
"FTSE @@@"	0.0536842
"Dow Jones Industrial Average"	0.0534873
Sensex	0.0528655
db	0.0526462
PacCent	0.0520176
"Brad Fullmer"	0.0519516
"Singapore Airlines"	0.0514095
"Bovespa Index"	0.0486654
"Philippine peso"	0.0478142
Bovespa	0.0465907
FT-SE	0.0457201
"Singapore Press Holdings"	0.0453578
"market average"	0.0448772
"eight cents"	0.0447402
"five cents"	0.0447273
"Hang Seng China Enterprises Index"	0.0446235
"NASDAQ Composite Index"	0.0445519
"retail price index"	0.0438305
Varig	0.0432168
"Shanghai Composite Index"	0.0423895
fineness	0.0423464
sub-indices	0.0422413
"HSBC Holdings"	0.040981
capitalisation	0.0405467
))
(Brigade (desc 24895.1) (sims
battalion	0.26805
Regiment	0.228563
infantry	0.164981
"Infantry Division"	0.157382
squadron	0.139851
"Airborne Division"	0.127099
"military unit"	0.115804
unit	0.115617
contingent	0.112751
"police force"	0.111662
troop	0.110519
army	0.109699
"artillery unit"	0.108398
platoon	0.108185
paratrooper	0.108168
corps	0.105162
"Infantry Battalion"	0.103809
"task force"	0.0970579
commando	0.0967448
cavalry	0.0964293
detachment	0.0953224
"military force"	0.0945897
commander	0.0940445
UNIFIL	0.0911908
militia	0.0903731
"Air Force"	0.0902674
IRGC	0.0895101
"armed forces"	0.0891745
"military police"	0.0882629
squad	0.0876136
soldier	0.0873635
"Southern Command"	0.087362
ECOMOG	0.0870897
"battle group"	0.085929
"security force"	0.0854412
SFOR	0.0837568
patrol	0.0836463
"Liberation Army"	0.0827804
"National Guard"	0.0826682
garrison	0.0820551
Corp	0.0816905
KFOR	0.0816434
navy	0.0792659
"Stabilization Force"	0.0791135
"Northern Fleet"	0.0787974
marine	0.0771152
"Republican Guard"	0.0770046
"Uganda People's Defense Forces"	0.076324
division	0.0763014
"general staff"	0.0757329
paratroops	0.0754439
command	0.0753448
"Revolutionary Guards"	0.0743805
peacekeeper	0.0740658
"Yugoslav Army"	0.0738625
"South Lebanon Army"	0.071852
convoy	0.0714583
reservist	0.069791
"Implementation Force"	0.069727
militiamen	0.0697206
personnel	0.068024
guerrilla	0.0680042
police	0.0676679
"Kosovo Liberation Army"	0.0665487
"U.S. Army"	0.0664833
helicopter	0.0660629
officer	0.0658756
rebel	0.065458
artillery	0.0654281
policemen	0.06529
UPDF	0.0644812
Directorate	0.064405
militant	0.0643812
LRA	0.0643289
troops	0.0637378
military	0.0636513
SLA	0.0634952
TNI	0.0634731
"field hospital"	0.0631135
insurgent	0.062593
fleet	0.0625472
"Islamic Revolutionary Guards Corps"	0.0624323
warship	0.0622755
servicemen	0.0620379
"military personnel"	0.0619984
faction	0.0619903
KLA	0.0619664
IFOR	0.0619006
"air defense"	0.0617172
gunship	0.061341
"work group"	0.0609849
crew	0.0609086
"People's Liberation Army"	0.0608497
"high command"	0.060627
Kamajors	0.0604317
"National Police"	0.0601685
Amal	0.0592808
"naval forces"	0.0592547
Colonel	0.0590682
"National Liberation Army"	0.0589809
"personnel carrier"	0.0587365
PLA	0.0586912
FARC	0.0584514
warplanes	0.0581652
fighter	0.0580869
"Red Army"	0.0580422
"working group"	0.0576773
RRA	0.0574299
Mission	0.0571273
"Real IRA"	0.0568516
Hezbollah	0.0568159
"patrol boat"	0.0566648
RUF	0.0563793
headquarters	0.05633
"fire brigade"	0.0560342
headquarter	0.0550407
"command post"	0.0548392
precinct	0.0546884
"Islamic Jihad"	0.0545415
ELN	0.0541069
"honor guard"	0.0539076
bureau	0.0538957
department	0.0538268
"Marine Corps"	0.0535493
Apaches	0.0535247
reinforcement	0.0533101
soliders	0.0531929
MILF	0.0530518
"military vehicle"	0.0524546
"fire fighter"	0.0524529
paramilitary	0.0523308
gendarmerie	0.0523234
"Sudan People's Liberation Army"	0.0523096
SPLA	0.0522402
deployment	0.0519259
gang	0.0518619
flotilla	0.051855
mercenary	0.0518215
UNAMSIL	0.0516049
medic	0.0514157
"Moro National Liberation Front"	0.0513934
"Northern Alliance"	0.0513469
"Interior Ministry"	0.0512336
"Coast guard"	0.0508607
UNITA	0.0508423
"army officer"	0.0507705
guerilla	0.0504673
"Revolutionary Armed Forces"	0.0503138
"steering committee"	0.0501765
tank	0.050146
"Federal Security Service"	0.0499673
"Revolutionary United Front"	0.0498549
airforce	0.0498546
"U.S. Air Force"	0.0496537
"police officer"	0.049477
"military officer"	0.0494046
junta	0.0493057
wing	0.0491951
branch	0.0490109
frigate	0.0488145
"fire department"	0.0488088
"Royal Ulster Constabulary"	0.0487998
morale	0.0487231
barrack	0.0486877
"U.N. Mission"	0.0484999
firemen	0.0483718
"Army Corps"	0.0483451
aircraft	0.0481152
"National Democratic Alliance"	0.0476858
ABRI	0.0476097
"training school"	0.0475979
institute	0.0475958
cadre	0.0475504
Lieutenant	0.0474134
Alliance	0.0474044
"Khmer Rouge"	0.0473153
Sergeant	0.0472908
mujahedeen	0.0471535
separatist	0.0468977
"aircraft carrier"	0.0466579
"border patrol"	0.046381
"intelligence officer"	0.0462824
"military academy"	0.0461794
"diplomatic mission"	0.0459999
ministry	0.0458765
airmen	0.0457743
"armed service"	0.0455321
"secret service"	0.0452894
"North Atlantic Treaty Organization"	0.0452311
association	0.0451828
IDF	0.0451802
"guard of honor"	0.0450837
"firing range"	0.0450821
outpost	0.0450444
"Israel Defense Forces"	0.0449277
"military leader"	0.0448845
fighter-bombers	0.044881
armor	0.0448251
submarine	0.0447781
posse	0.0447665
))
(Brigadier (desc 2780.16) (sims
"brigadier general"	0.188116
"lieutenant general"	0.135723
"Norman Schwarzkopf"	0.101584
Colonel	0.10153
"lieutenant colonel"	0.0978387
"John Shalikashvili"	0.0921884
"Victor Malu"	0.0898438
"Ansumane Mane"	0.085502
Lieutenant	0.0836973
"Wesley Clark"	0.0826146
Abel	0.0823738
"Shaul Mofaz"	0.0781454
SPDC	0.0767097
Wiranto	0.0691886
"Aslan Maskhadov"	0.067324
Maj.-Gen.	0.0661428
"Xanana Gusmao"	0.0653702
Admiral	0.0646272
"Ronnie Flanagan"	0.0641159
SANDF	0.0639468
"Indonesian Military"	0.0639407
consul	0.0638269
"South African National Defense Force"	0.0629586
TNI	0.0625299
Postmaster	0.062079
enlistee	0.0618015
"enlisted man"	0.0607143
"Anatoly Chubais"	0.0589837
Yazdi	0.0579489
"Osman Ali Atto"	0.0567274
"Ratko Mladic"	0.0562371
"Robert E. Lee"	0.0561208
"military officer"	0.0555482
"department employee"	0.055418
"general staff"	0.0547408
"Colin Powell"	0.0541168
KPA	0.0540788
"Shamil Basayev"	0.0533728
"staff sergeant"	0.0527431
Sutiyoso	0.0520751
Sergeant	0.0514771
"Bosnian Serb"	0.0509047
"intelligence officer"	0.0508545
undersecretary	0.0508203
"Richard Blumenthal"	0.0507628
"Bosnian Croat"	0.0506558
"state's attorney"	0.0499137
"Independent National Electoral Commission"	0.0497965
"National Police"	0.0496679
INTERFET	0.0493333
"air force officer"	0.0491695
"Southern Command"	0.0490975
"Eileen Collins"	0.0489099
Ghalib	0.0487802
"Howard Baker"	0.0484137
"army officer"	0.0483941
commoner	0.0482215
infantryman	0.0479369
Cpl	0.0472683
"Jim Kelly"	0.0471768
"National Guard"	0.0466639
PNP	0.0464754
Buyoya	0.0461978
"Khin Nyunt"	0.0461488
"Islamic Revolutionary Guards Corps"	0.0459199
Hezb-i-Islami	0.045863
Ruehe	0.0456321
Aventajado	0.045608
ABRI	0.0453895
inspectorate	0.0452527
"Erskine Bowles"	0.0452068
"Lino Oviedo"	0.0451622
"political commissar"	0.0451451
"State Law and Order Restoration Council"	0.0447776
"Ta Mok"	0.044775
telecommuters	0.0445944
THA	0.0445602
Julius	0.044397
Malu	0.0437815
"River Keen"	0.0437075
Directorate	0.0435227
CAA	0.0434145
"planning commission"	0.0433934
"Harold Ickes"	0.0433331
"Maung Aye"	0.0433297
"GERONIMO BERROA"	0.043279
"David Hale"	0.0431982
"army engineer"	0.0430544
Prabowo	0.0430092
"battle group"	0.0427798
"Israeli Foreign Ministry"	0.0425151
"intelligence agent"	0.0424374
"Ariel Sharon"	0.0423821
"military attache"	0.042225
"Defense Agency"	0.0421405
al-Sahaf	0.0416177
"Henry Shelton"	0.0415711
Atwater	0.0413176
Tarawneh	0.0408624
Majali	0.0406948
"Alexander Lebed"	0.0402276
"Public Service Commission"	0.0402036
Warshaw	0.0400339
))
("brigadier general" (desc 2811.34) (sims
Brigadier	0.188116
"lieutenant general"	0.186321
"lieutenant colonel"	0.182451
"enlisted man"	0.127334
"staff sergeant"	0.116578
Colonel	0.114384
Admiral	0.0995422
"political commissar"	0.0950982
"Norman Schwarzkopf"	0.0930524
Sergeant	0.092047
"John Shalikashvili"	0.0905794
"Richard Blumenthal"	0.0898037
infantryman	0.0877014
enlistee	0.0864283
Lieutenant	0.0862334
"army officer"	0.085331
"Lino Oviedo"	0.0852397
"police lieutenant"	0.0850136
"police captain"	0.0844706
"intelligence officer"	0.0836755
commandant	0.0807006
"Wesley Clark"	0.0800821
"military officer"	0.0797844
SPDC	0.0795655
"air force officer"	0.0791205
"naval officer"	0.0773461
Commissar	0.0769306
conscript	0.0755629
"staff officer"	0.0747764
"police sergeant"	0.0747273
"eagle scout"	0.0723575
"David Hale"	0.0719232
corporal	0.0711219
major-leaguers	0.0703709
"test pilot"	0.068479
Maj.-Gen.	0.0666286
"government minister"	0.0652497
"dog tag"	0.0652465
"postmaster general"	0.0651436
"insurance agent"	0.0649713
"Archbishop Desmond Tutu"	0.0649276
serviceman	0.0649019
"Barry McCaffrey"	0.063983
"Brent Scowcroft"	0.0628233
"department employee"	0.0625381
al-Sahaf	0.0625036
"Osman Ali Atto"	0.0613699
medic	0.0609014
"newspaper editor"	0.0601021
"school teacher"	0.0600315
"firing range"	0.0600097
"military man"	0.0593668
"commanding officer"	0.0588377
"commander in chief"	0.0586564
armymen	0.0585122
"school superintendent"	0.0582573
"Pervez Musharraf"	0.0581907
"Eric Cantona"	0.0581393
constable	0.0579625
"surgeon general"	0.0576948
Wiranto	0.0574477
reservist	0.0572718
"Dale Bumpers"	0.0571609
"opera star"	0.0569893
stuntman	0.0567497
Prabowo	0.055482
telecommuters	0.0554413
"aerospace engineer"	0.0552988
"Lee Hsien Loong"	0.0551666
"intelligence agent"	0.0551207
Postmaster	0.0548428
"English teacher"	0.054558
consul	0.0545018
Mikhailov	0.0544164
"foreign service officer"	0.0543842
patrolman	0.0542618
"Navy Seal"	0.0536367
"cabinet minister"	0.0533099
"certified public accountant"	0.053195
major-general	0.0531868
"government officials"	0.0528324
"Colin Powell"	0.0527115
attache	0.0526974
"Klaus Naumann"	0.0525865
"Tony Coelho"	0.0524566
"general staff"	0.0520989
"inspector general"	0.0518297
"letter carrier"	0.0513369
"newspaper publisher"	0.0510682
parachutist	0.0508866
"department head"	0.0506911
sportswriter	0.0505297
"police detective"	0.0505112
deserter	0.0502335
soliders	0.0500317
chaplain	0.0498118
"executive officer"	0.0497723
"Pervaiz Musharraf"	0.0495801
"wing commander"	0.0493413
"Henry H. Shelton"	0.049281
"deputy foreign minister"	0.0492453
newspaperman	0.0491318
servicemen	0.0490535
"William S. Cohen"	0.0489726
"school principal"	0.0487275
landscaper	0.0486044
"Clyde Drexler"	0.0485298
"honor guard"	0.0484445
"state senator"	0.048279
Yugoslavian	0.0480265
"Gro Harlem Brundtland"	0.0480192
"Xiong Guangkai"	0.0480017
homemaker	0.0479595
Profiler	0.0478925
paralegal	0.0478544
"Gulbuddin Hekmatyar"	0.0478061
Nasrallah	0.0477744
"Aslan Maskhadov"	0.0476787
"garment worker"	0.0475731
"exotic dancer"	0.0475557
Seaman	0.0474009
"River Keen"	0.0471787
"dairy farmer"	0.0471637
paratrooper	0.0469944
cadet	0.0469173
microbiologist	0.0465568
"New Nigerian"	0.046524
geophysicist	0.0464248
"Alexander Lebed"	0.0464065
"prisoner of war"	0.0463806
"science teacher"	0.046209
PFC	0.0460558
"school boy"	0.0458619
"top officer"	0.0458335
undersecretary	0.0458273
"Marzuki Darusman"	0.0457448
"executive secretary"	0.0456593
"heart surgeon"	0.0455698
"vice chancellor"	0.0455676
"management consultant"	0.0454593
"police chief"	0.0454338
"Pierre Buyoya"	0.0452922
"Barry R. McCaffrey"	0.0452892
"Ramsey Clark"	0.0452839
son-in-law	0.0452164
"community organizer"	0.0451918
neurosurgeon	0.0450941
"Shamil Basayev"	0.044947
"civil engineer"	0.0449186
quickest	0.0447138
"Kamal Kharrazi"	0.0447119
Agca	0.044656
Cpl	0.044581
geographer	0.0444821
"hotel manager"	0.0443127
cain	0.0443049
"Boutros Boutros Ghali"	0.0440159
vice-president	0.0439353
"bus driver"	0.0439269
chiropractor	0.0439064
"real estate broker"	0.0438711
Salvadoran	0.0437301
"electrical engineer"	0.0435414
"math teacher"	0.0435075
triathlete	0.0434976
"music teacher"	0.043239
"English professor"	0.0432051
fireman	0.0431278
aviator	0.0431197
"Carol Bellamy"	0.043118
MiG-@@	0.0430869
"Olusegun Obasanjo"	0.0430126
"economic expert"	0.0428721
"Amnuay Virawan"	0.0428124
racehorse	0.0427831
"pocket watch"	0.0427711
optometrist	0.0427473
"press agent"	0.0427466
Khattab	0.0427084
botanist	0.0426647
Nasrin	0.0426306
"computer expert"	0.0425974
"Prime Timber"	0.0424564
"prison guard"	0.0423703
"intelligence analyst"	0.0423569
hyphen	0.0423433
Yadav	0.0422152
shopkeeper	0.0422016
"artillery unit"	0.0420677
"civil rights leader"	0.0420579
"Tim Fischer"	0.0420147
Borodin	0.0419492
"black person"	0.0419299
"special agent"	0.0418943
co-pilot	0.0418461
commando	0.0418345
co-conspirator	0.0415376
councilwoman	0.0414572
"Georgia Republican"	0.0413979
"Buzz Aldrin"	0.0413849
))
(Briggs (desc 2175.97) (sims
Fleischer	0.0985754
Farrell	0.0975482
Moorer	0.0974054
Lowry	0.0968718
Golota	0.095205
Rosenblatt	0.0946857
Sorensen	0.0915107
Gatti	0.0913614
Botha	0.0887627
Norris	0.0878174
O'Sullivan	0.0874336
Savarese	0.0869142
bearcat	0.0865892
Quartey	0.0857786
Marquez	0.0849796
Whitaker	0.0843919
Briscoe	0.083963
Utes	0.0834373
McDonnell	0.0827245
Cline	0.0825949
bock	0.0822952
Hagen	0.0821983
Scruggs	0.0816422
Jeffers	0.0809884
Goldin	0.0809516
Ashrawi	0.0808529
Mosley	0.0804332
Molinari	0.079852
Witherspoon	0.0794609
Bullard	0.0794157
Vargas	0.0792555
Fay	0.0787371
Akers	0.0787313
Arron	0.0787246
Fiorina	0.0769629
Grunwald	0.075181
Ruiz	0.0748345
Stephenson	0.0747644
Julich	0.0744522
Liston	0.0742979
Donohue	0.0742419
Berenson	0.07374
Goossen	0.0737187
Betts	0.0735812
Woodard	0.0730622
Townsend	0.0729679
Henning	0.0729442
Tharp	0.0725507
Braswell	0.0724206
Hartley	0.072301
Holmes	0.0719196
Holyfield	0.0717231
"Peter Rasmussen"	0.0715249
Godfrey	0.0713375
Torres	0.0710811
Duffy	0.0709533
Solis	0.0706959
Kirkpatrick	0.0706677
Gardner	0.0701929
Flores	0.0698279
Geiger	0.0697624
Waxman	0.0697498
Corcoran	0.0696153
Suarez	0.0695313
Arbour	0.0695212
Ruelas	0.0693983
Goodman	0.0693573
Carr	0.0691229
Parrish	0.0691212
Spadea	0.0689831
Lieber	0.0689758
Samuelson	0.0687658
Finkel	0.0687275
Morrison	0.0685546
Upshaw	0.0679131
Bowe	0.0677713
Zuckerman	0.0677407
Heinrichs	0.0677297
Keenan	0.0675702
Marineau	0.0674648
Verney	0.0674322
estes	0.067405
Hearns	0.0670699
Grossman	0.0670239
Shalala	0.0670036
Rossotti	0.0669186
Farber	0.0667665
Irvan	0.0665186
Klerk	0.0663524
Wasserstein	0.0663387
Dunham	0.0662436
O'Hara	0.0659565
Boone	0.0658869
Markovic	0.0657353
Knapp	0.0656851
hodgson	0.0656392
Camacho	0.0656196
Meissner	0.0654948
Lieberthal	0.0653768
DeFrantz	0.0653547
Madden	0.0651473
"McCaughey Ross"	0.0648014
Reiner	0.064736
Jaffe	0.06466
Charpentier	0.064425
Moscoso	0.0644061
Simms	0.064308
Shapiro	0.0642779
McMillan	0.0641926
Rowley	0.0641278
Vogel	0.064126
Hirschbeck	0.0641226
Echols	0.0640438
McConnell	0.0640329
Jayhawks	0.0640192
Pape	0.0640148
Flynn	0.0639753
Mendez	0.0639301
Hickman	0.063839
Snowe	0.0638192
O'Connell	0.0635922
Rueter	0.0635538
Swenson	0.0634493
Pruett	0.0633867
Mowlam	0.0632501
Zellweger	0.0631157
Daniels	0.0630364
Choate	0.062997
Barrett	0.0629193
Harbaugh	0.0627707
Moonves	0.0625974
Robson	0.0625744
Meehan	0.0625133
Merritt	0.0624059
Prewitt	0.0623766
Harman	0.0623097
Haines	0.0622174
Rosenthal	0.0622106
Siegelman	0.0621398
Parris	0.0620926
Tapia	0.062055
Cleary	0.0619629
Washburn	0.0619062
Longo	0.061897
Skiles	0.061703
Sommer	0.0615902
Maritz	0.06157
Dowd	0.0615676
McIntyre	0.0615289
Hagel	0.061498
Newhouse	0.061434
Halama	0.0614178
Bettman	0.0613403
Swanson	0.0613293
Padilla	0.0613048
Ricci	0.0612375
Hamlin	0.0611083
Edberg	0.0610893
Nagy	0.060998
Rahman	0.0609219
Greenwald	0.0608236
McGrath	0.060766
Wenger	0.0607537
Cowan	0.060685
Chenoweth	0.0605081
Schmid	0.0604713
Kurth	0.0604043
Kraus	0.0603012
Rubenstein	0.0601751
Yoon	0.0601734
Boilermakers	0.060103
Hopkins	0.0600864
Chao	0.0600791
"Poul-Erik Hoyer-Larsen"	0.0599907
Schulz	0.0599717
Henley	0.0598581
Musgrove	0.0598205
Mayweather	0.0597239
Avery	0.0596782
Pittman	0.0596577
Lau	0.0595489
Brenner	0.0595141
Whitsitt	0.0593696
Ouattara	0.0593212
Boardman	0.0592637
Farley	0.0592542
Jensen	0.0592281
Sills	0.0592118
McCullough	0.0591173
Hakim	0.0590857
Gillick	0.0589164
Doyle	0.0587484
Capel	0.0586275
Lowey	0.0585574
Erickson	0.0585399
Tua	0.0585197
Allard	0.0584304
Wilkinson	0.0584256
Madsen	0.0584017
Haynes	0.0583927
))
(Brigham (desc 5606.76) (sims
"Massachusetts General Hospital"	0.269034
"Albany Medical Center"	0.228769
"Dana-Farber Cancer Institute"	0.228495
"Beth Israel Deaconess Medical Center"	0.191245
"Mayo Clinic"	0.172799
"school of medicine"	0.163951
"Cleveland Clinic"	0.154127
"Memorial Sloan-Kettering Cancer Center"	0.15267
"Mount Sinai Medical Center"	0.141407
"Harvard Medical School"	0.135826
"University of California"	0.127979
"medical center"	0.127697
"Johns Hopkins"	0.123806
"University of Alabama"	0.112322
"University Hospital"	0.111959
"Methodist Hospital"	0.110448
"Harvard School of Public Health"	0.107434
"University of Pennsylvania"	0.105256
"Johns Hopkins University"	0.102749
"Mount Sinai"	0.100981
MGH	0.0975953
"National Cancer Institute"	0.0971133
"Baylor College of Medicine"	0.0965433
"Mount Sinai Hospital"	0.0949765
"University of Toronto"	0.093033
"Beth Israel"	0.0920458
"Massachusetts Institute of Technology"	0.0915876
"University of Maryland"	0.0903582
"Mercy Hospital"	0.0888022
Dana-Farber	0.0882709
"Johnson Space Center"	0.0872699
"University of Iowa"	0.0858651
"University of Colorado"	0.0848507
Emory	0.0838508
"University of Illinois"	0.0823413
"University of North Carolina"	0.0820627
"Emory University"	0.0815976
"University of Minnesota"	0.0790842
"Harvard Pilgrim Health Care"	0.0775842
"Ohio State University"	0.0771043
"School of Public Health"	0.07698
"Kennedy School"	0.0762842
"Pennsylvania State University"	0.0761298
"University of Pittsburgh"	0.075466
"University of Arizona"	0.0753255
"Washington University"	0.0744225
"Vanderbilt University"	0.0742525
"University of Washington"	0.0742431
"Stanford University"	0.0741445
"Lawrence Livermore National Laboratory"	0.0736114
"military hospital"	0.0729971
"University of Cincinnati"	0.0728579
"University of Utah"	0.0718701
"Kennedy School of Government"	0.0716406
"University of Chicago"	0.0714428
"California Institute of Technology"	0.0711771
"Rockefeller University"	0.0708027
"John F. Kennedy School of Government"	0.07012
UCSF	0.06921
"Tufts University"	0.0691311
Grady	0.0686598
Cornell	0.0674961
"medical school"	0.0674371
"University of Wisconsin"	0.066825
"Jet Propulsion Laboratory"	0.0664509
CDC	0.0659847
"University of Massachusetts"	0.0654549
"University of Texas"	0.0641965
"Brigham Young University"	0.0630278
"Columbia University"	0.0629442
"St. Luke"	0.0627834
"Piedmont Hospital"	0.0627289
"Harvard University"	0.0624977
"Colorado State University"	0.0612094
MIT	0.059411
"National Institutes of Health"	0.0592335
"Yale university"	0.0591686
"George Washington University"	0.0581613
"psychiatric hospital"	0.0580991
"University of Southern California"	0.0580916
Mayo	0.0564312
"Center for Science"	0.0562732
"Oxford University"	0.0562212
"Natural Resources Defense Council"	0.0562194
"Purdue University"	0.056089
"Northwestern University"	0.0551797
"Texas Tech University"	0.0551189
"McGill University"	0.0549536
"Urban Institute"	0.0549052
"Duke University"	0.0548687
"Bell Labs"	0.0540075
"New York University"	0.0537529
"State University of New York"	0.0536559
"Los Alamos"	0.053642
"Michigan State University"	0.0534368
"University of Hawaii"	0.0533078
Columbia	0.0533006
"Kaiser Permanente"	0.0527268
"Carnegie Endowment"	0.052708
"field hospital"	0.0517733
"Kaiser Family Foundation"	0.0517476
"Boys Ranch"	0.0509428
"Boston University"	0.0507291
"Cornell University"	0.0503524
"University of Miami"	0.0502964
"University of Rochester"	0.0501386
"Fort Hood"	0.0495979
"Media Lab"	0.0489991
"teachers college"	0.0484391
"General Hospital"	0.0483556
"Wright-Patterson Air Force Base"	0.0480215
"Brown University"	0.0480055
"University of Notre Dame"	0.0479767
"Carnegie Mellon University"	0.0479508
"University of Michigan"	0.047682
"National Oceanic and Atmospheric Administration"	0.0475236
"Fort Bragg"	0.0463919
"Center for Strategic"	0.0463777
"University of Tennessee"	0.0461966
"research center"	0.0461357
"University of Florida"	0.0458065
"Lawrence Livermore"	0.0457628
"University of Connecticut"	0.045262
"University of Virginia"	0.0451957
"National Institute"	0.0450975
Yale	0.0449391
"Bell Laboratories"	0.0448682
tuft	0.044859
"Harvard Law School"	0.0448525
Hartsfield	0.0443027
"Institute of Medicine"	0.0441762
"Baylor University"	0.0434952
"University of Hong Kong"	0.0431663
CAS	0.0431562
"American Red Cross"	0.0426085
"University of Georgia"	0.0425998
cardiologist	0.0423014
"Museum of Fine Arts"	0.042283
"Union of Concerned Scientists"	0.0421706
hospice	0.0420674
Isner	0.0419916
"Rutgers University"	0.0419074
"Georgetown University"	0.041718
"Kansas State University"	0.0415782
"ST. Joseph"	0.0414233
"University of Arkansas"	0.0411505
"Central Clinical Hospital"	0.0409442
Fleischer	0.040833
Dartmouth	0.0407955
"Symphony Hall"	0.0406019
"London School of Economics"	0.0402251
"Jewish Museum"	0.040132
Bu	0.0401296
"Brandeis University"	0.0401001
))
("Brigham Young" (desc 6207.23) (sims
BYU	0.276759
"Arizona State"	0.191655
"Ohio State"	0.183373
"Penn State"	0.17623
"Oregon State"	0.166627
"Kansas State"	0.166113
"Mississippi State"	0.158584
UNLV	0.157135
"Notre Dame"	0.156952
Cal	0.155058
LSU	0.150989
"Florida State"	0.150949
"Texas Tech"	0.149342
USC	0.148307
Purdue	0.148294
Stanford	0.148241
Tulane	0.147391
"Georgia Tech"	0.146821
"San Diego State"	0.146318
"San Jose State"	0.146128
northwestern	0.145869
Villanova	0.141697
Clemson	0.14075
"Colorado State"	0.140714
"North Carolina State"	0.139076
"Louisiana Tech"	0.138826
"Texas Christian"	0.137723
"Virginia Tech"	0.137254
Vanderbilt	0.135028
"Oklahoma State"	0.134501
"Iowa State"	0.134295
Rutgers	0.134122
"Arkansas State"	0.133966
Nebraska	0.133254
"Seton Hall"	0.133047
"Michigan State"	0.132721
"Washington State"	0.132487
Pepperdine	0.13227
"Wake Forest"	0.130691
"Weber State"	0.130636
"Boston College"	0.129529
UCLA	0.129006
"Fresno State"	0.128732
"Louisiana State"	0.126678
"Long Beach State"	0.125952
"East Carolina"	0.12582
Xavier	0.125348
"Georgia Southern"	0.124375
Syracuse	0.124104
"Southern Mississippi"	0.121262
Oregon	0.121161
"Montana State"	0.120096
"Brigham Young University"	0.119169
Tennessee	0.117028
DePaul	0.115904
"Appalachian State"	0.115287
Auburn	0.114301
SMU	0.114123
Kentucky	0.111654
Alabama	0.109463
"N.C. State"	0.108322
"West Virginia"	0.107593
Baylor	0.106163
TCU	0.104768
Gonzaga	0.104097
Duke	0.103048
Hofstra	0.102686
"Southern Cal"	0.102287
Arkansas	0.101799
Boilermakers	0.1016
Oklahoma	0.100444
"Boise State"	0.100366
Marquette	0.100243
"Northern Arizona"	0.0990707
Cal.	0.0990498
"Holy Cross"	0.098636
Wisconsin	0.0984456
Michigan	0.0981009
Arizona	0.0979872
"Southwest Missouri State"	0.0979187
"Old Dominion"	0.0968421
Hawkeyes	0.0955072
UConn	0.0951424
Lehigh	0.0946963
"North Carolina"	0.0944393
"Utah State"	0.09434
Samford	0.0942191
Kansas	0.0940054
Utah	0.0938631
"Minnesota Vikings"	0.0930643
"New Mexico State"	0.0923053
Indiana	0.0918012
ASU	0.0907936
"St. Louis Rams"	0.0906189
Maryland	0.0895754
Jacksonville	0.0892478
Wyoming	0.0892296
"Ball State"	0.0889836
Tulsa	0.0886529
Furman	0.0884287
UAB	0.088165
Miami	0.0872952
Fordham	0.0867107
Sooners	0.0865233
Seminoles	0.0863991
UMass	0.0862213
Wolfpack	0.0859985
"blue devil"	0.085544
Minnesota	0.0842965
Louisville	0.084292
Cornhusker	0.083935
Cincinnati	0.0830204
terrapin	0.0828606
Illini	0.0820589
"Saint Louis"	0.0814298
"Tampa Bay Buccaneers"	0.0812383
Valparaiso	0.0811061
"Green Bay"	0.0810878
"Jacksonville Jaguars"	0.0808322
Iona	0.0806368
Virginia	0.0805928
"New York Jets"	0.0804534
"Eastern Washington"	0.0804201
Colorado	0.0800623
Starzz	0.0800226
"Phenix City"	0.0799113
NAU	0.0797657
CSUN	0.0797555
"Fighting Irish"	0.0796455
Princeton	0.0795936
Connecticut	0.0795889
Gators	0.079373
"Crimson Tide"	0.0793621
Illinois	0.0792614
"Scarlet Knights"	0.0790139
"New Mexico"	0.0785407
"New York Giants"	0.0783071
"St. Bonaventure"	0.0781453
"Southern California"	0.0780305
husky	0.0763912
UA	0.0762841
"Nittany Lions"	0.0758762
"UC Santa Barbara"	0.075819
"University of Oklahoma"	0.0753033
"Cal State Northridge"	0.0752606
Georgetown	0.0752144
"Arnaud Di Pasquale"	0.0750451
Vols	0.0749329
"Jackson State"	0.0747028
"Denver Broncos"	0.0743807
wildcat	0.0740224
"Richard Fromberg"	0.0738997
"D.C. United"	0.0736224
"San Francisco @@ers"	0.0734168
"Central Florida"	0.073267
Dartmouth	0.0729531
Razorback	0.0727359
Alabama-Birmingham	0.0727223
"Renzo Furlan"	0.0722383
tech	0.0722186
Hokies	0.0720888
Redskin	0.0719061
Carolina	0.071884
"McNeese State"	0.0717329
Northridge	0.0716054
"University of Connecticut"	0.0715866
"Tar Heels"	0.0712948
"Ottawa Senators"	0.0712845
Pitt	0.0712815
"Seibu Lions"	0.0709473
Missouri	0.0707597
"Partizan Belgrade"	0.0705272
cougar	0.0704103
bronco	0.0700679
Portland	0.0697158
Iowa	0.069702
"yellow jacket"	0.0695323
gamecock	0.0694383
"Detroit Red Wings"	0.0692114
Eagles	0.0690956
"Wang Chen"	0.0689889
"Sergi Bruguera"	0.0689159
"Albert Portas"	0.0688573
"Chicago Fire"	0.0686059
"Peter Rasmussen"	0.0683255
"Dallas Burn"	0.0679405
"Indianapolis Colts"	0.0678392
Steelers	0.0677861
BUCCANEER	0.0676449
"Miami Heat"	0.067472
dame	0.0674691
"Trail Blazers"	0.0674443
panther	0.0674296
"Asa Carlsson"	0.0672961
Sacramento	0.0670392
Supersonics	0.0669118
Stephenville	0.0666499
"San Diego Chargers"	0.0666149
ou	0.0665171
Bengals	0.066509
))
("Brigham Young University" (desc 1750.57) (sims
"Smith College"	0.234852
"Georgia State University"	0.219033
"University of Utah"	0.217868
"University of Georgia"	0.210159
"Rice University"	0.209674
"Yale Law School"	0.209488
"University of Florida"	0.203997
"Michigan State University"	0.203608
"Williams College"	0.200787
"Howard University"	0.19943
"American University"	0.198442
"Texas Christian University"	0.195951
"Brown University"	0.191444
"Fordham University"	0.189048
"Northeastern University"	0.187146
"University of New Mexico"	0.186472
"Harvard Business School"	0.18489
"University of New Hampshire"	0.184561
"Washington State University"	0.184084
"Georgetown University"	0.18332
"Kansas State University"	0.181481
"University of Missouri"	0.179253
"University of Oklahoma"	0.178639
"Rutgers University"	0.178273
"Hunter College"	0.176635
"University of Maryland"	0.17492
"University of Rochester"	0.174864
"Harvard Law School"	0.174242
"University of Notre Dame"	0.173958
"University of Kansas"	0.172715
"Purdue University"	0.170276
"University of Kentucky"	0.169869
"University of Toronto"	0.169373
"U.S. Naval Academy"	0.168868
"Iowa State University"	0.16833
"Arizona State University"	0.16824
"Northwestern University"	0.168186
"Ohio State University"	0.167974
"University of Alabama"	0.166572
"Florida International University"	0.165852
"Vanderbilt University"	0.165831
"Dartmouth College"	0.165114
"George Mason University"	0.164802
"Hebrew University"	0.164649
"Barnard College"	0.163837
"Colorado State University"	0.163562
"University of Iowa"	0.163307
"Duke University"	0.162291
"Harvard Medical School"	0.161017
"University of North Carolina"	0.160943
"Syracuse University"	0.160527
"University of Cincinnati"	0.160024
"University of Oregon"	0.159179
"San Francisco State University"	0.158642
"Southern Methodist University"	0.15775
"Tufts University"	0.156702
"Catholic University"	0.156397
"University of Tennessee"	0.155687
"Brandeis University"	0.155037
"University of Colorado"	0.154085
"Louisiana State University"	0.154036
"University of South Carolina"	0.153959
"Harvard College"	0.153606
"University of Southern California"	0.153562
"George Washington University"	0.152564
"Wesleyan University"	0.15131
"Yale university"	0.150575
"University of Miami"	0.148251
"Washington University"	0.147899
"University of Arkansas"	0.147667
"University of Wyoming"	0.147387
"Indiana University"	0.147326
"University of Texas"	0.147043
"University of Wisconsin"	0.146932
"Auburn University"	0.146754
"University of Houston"	0.146644
"Baylor University"	0.146244
"Florida State University"	0.14597
"teachers college"	0.145344
"New York University"	0.144669
"Princeton University"	0.144196
"Emory University"	0.14317
"Columbia University"	0.142079
"Harvard School of Public Health"	0.141842
"University of Illinois"	0.141105
"University of Arizona"	0.140034
"air force academy"	0.139754
"Cornell University"	0.138325
"University of Massachusetts"	0.138186
"University of Virginia"	0.138047
"Pennsylvania State University"	0.138042
"University of Nebraska"	0.135562
"University of Michigan"	0.135118
"Johns Hopkins University"	0.133687
"State University of New York"	0.133662
"Queens College"	0.131996
Dartmouth	0.131763
"University of Pittsburgh"	0.129886
"Temple University"	0.129857
"naval academy"	0.12958
"Stanford University"	0.127547
"City College"	0.126785
"Carnegie Mellon University"	0.125893
BYU	0.125567
"University of Pennsylvania"	0.125221
"community college"	0.124611
"City University of New York"	0.122845
"Kennedy School"	0.122762
"University of Mississippi"	0.1227
"Cambridge University"	0.121768
"West Point"	0.12168
"Harvard University"	0.121318
"Wright State University"	0.121162
"University of Connecticut"	0.120795
"London School of Economics"	0.120384
"Amherst College"	0.120069
"Nanjing University"	0.119841
"University of Minnesota"	0.119789
"Brigham Young"	0.119169
Yale	0.118732
"Boston University"	0.117478
"North Carolina State University"	0.117261
"UC Berkeley"	0.117212
"California State University"	0.116158
"University of Chicago"	0.115893
"Hofstra University"	0.11522
"Massachusetts Institute of Technology"	0.11494
Princeton	0.114272
Cornell	0.112994
"Wake Forest University"	0.11294
"Peking University"	0.112281
"Juilliard School"	0.111718
"University of Zimbabwe"	0.110066
"University of California"	0.109293
"business school"	0.108351
"College of Charleston"	0.108209
"University of Dayton"	0.108149
"University of Hawaii"	0.108136
UGA	0.106206
"McGill University"	0.103424
Emory	0.103029
MIT	0.102757
"John F. Kennedy School of Government"	0.101563
"art school"	0.101427
"Central High School"	0.101345
"Fudan University"	0.101155
NYU	0.100155
"Seton Hall University"	0.100068
"University of Maine"	0.0997028
"University of Washington"	0.0990166
UMKC	0.0987551
"Rockefeller University"	0.0982608
"Trinity College"	0.0977196
Barnard	0.0973354
"Beijing University"	0.097255
Brandeis	0.0960653
"Baylor College of Medicine"	0.0960579
"University of Hong Kong"	0.09572
UNAM	0.0955558
"Oxford University"	0.0943197
"Qinghua University"	0.0942771
"Boston College"	0.0940952
"military academy"	0.0938335
UT	0.0936526
"Wharton School"	0.0927548
"Holy Cross"	0.0927458
Eton	0.0914103
"School of Public Health"	0.0909838
"Georgia Tech"	0.0903471
Fordham	0.0898204
"prep school"	0.0893856
"technical school"	0.0887938
"Catholic school"	0.0881777
"National Autonomous University of Mexico"	0.0866403
UMass	0.0865419
Vassar	0.0864641
"medical school"	0.084851
"Kent State"	0.0848023
"school of music"	0.084252
seminary	0.0838709
WSU	0.0830439
"University of Rhode Island"	0.0827294
"National Autonomous University"	0.0822307
"city university"	0.0817837
"Media Lab"	0.0816911
"Heritage High School"	0.0814122
"vocational school"	0.0813067
"Church of Jesus Christ of Latter-day Saints"	0.0812046
IU	0.0811162
"school of medicine"	0.0804784
"driving school"	0.0798953
"school of law"	0.0796542
"Seton Hall"	0.0779931
Juilliard	0.0779865
"Johns Hopkins"	0.0777133
"Zhongshan University"	0.0776886
"Virginia Tech"	0.076705
"Georgia State"	0.076619
"preparatory school"	0.0760557
"junior high school"	0.0747359
))
("bright side" (desc 1915.69) (sims
downsides	0.0914608
"silver lining"	0.0912586
exigency	0.0708501
totality	0.0673347
possiblity	0.0652767
"written record"	0.0620989
symmetry	0.0599055
mismatch	0.0598637
"great deal"	0.059361
inkling	0.0592723
smallness	0.0586281
chink	0.057781
downside	0.0572115
finality	0.0568414
de-escalation	0.0563188
facet	0.0559422
portent	0.0542042
"ball of fire"	0.0500926
suddenness	0.0500304
scad	0.0491012
strangeness	0.0490139
"big picture"	0.0489456
verity	0.048654
ramification	0.0480569
detritus	0.0480504
nub	0.0477733
premonition	0.0474102
glimmer	0.0468962
"secret plan"	0.0463683
thumbnail	0.0462827
reminded	0.0461201
awkwardness	0.0454722
"mountain gorilla"	0.0450043
Gabbi	0.0449968
immensity	0.0443483
pittance	0.0442094
misperception	0.0439177
plethora	0.0426958
narrowness	0.0425909
confluence	0.0423861
happiest	0.0423747
Laudor	0.0418525
consolation	0.0416653
"sum total"	0.0415599
"standing room"	0.0414632
potentiality	0.0413566
catharsis	0.0413147
heartening	0.0411512
drop-off	0.040618
ascendance	0.0405057
corroboration	0.0402367
bleakness	0.0401935
Comes	0.0401182
))
(brightest (desc 1636.74) (sims
bloodiest	0.0917571
third-highest	0.0891108
deepest	0.0830222
closers	0.0789905
busiest	0.0730788
tallest	0.071893
safest	0.0706411
hottest	0.0691417
fastest-growing	0.0676619
richest	0.0660379
originator	0.0624988
have-not	0.0611775
"moral obligation"	0.0596764
poorest	0.0595852
metropolises	0.0586756
"three schools"	0.0582666
toughest	0.056362
polluter	0.0557904
discoverer	0.0552119
"Texas Democrats"	0.0545765
Washingtonian	0.0544622
glimmer	0.0541459
finds	0.0540137
progenitor	0.0539882
strongest	0.0537114
second-highest	0.0531647
glint	0.051552
"first point"	0.0511953
"important person"	0.0505705
Stealers	0.0503592
highflier	0.0500228
Opry	0.049987
adopters	0.0497731
"particle accelerator"	0.0496043
second-fastest	0.0493604
oldest	0.0489539
runnings	0.0488516
"copper mine"	0.0488367
cheapest	0.048824
rebounders	0.0483426
peculiarity	0.048096
"Greek Orthodox Church"	0.0479339
singer-songwriters	0.0475533
"two pitchers"	0.0472284
Lecter	0.0470063
drafters	0.0469996
Momma	0.0469057
pluses	0.0468843
"first pitcher"	0.0465756
Chai	0.0462313
Americanization	0.0461879
"three pitchers"	0.0460293
iteration	0.0460122
Sahadi	0.0446532
conveyor	0.0446
Scotty	0.0445538
brightness	0.0445052
newest	0.0443786
"core group"	0.0440406
weakest	0.043917
paddler	0.0439052
"the very best"	0.0434739
vote-getters	0.0434325
"component part"	0.0434225
"break of serve"	0.0432563
"tax income"	0.0430115
polluters	0.0424425
shipmate	0.0422326
"American Psychological Association"	0.0421327
half-century	0.0419922
shipbuilder	0.0418937
"Special Economic Zones"	0.0418601
playmakers	0.0413145
"dollar sign"	0.0412156
"Human Rights Commission"	0.0410291
fella	0.0410143
"private foundation"	0.0409738
Testud	0.0409529
"About @@,@@@ hectares"	0.0406097
"navy yard"	0.0402943
"music school"	0.0401305
vertebrate	0.0400173
blurring	0.0400046
))
(brightness (desc 6469.81) (sims
density	0.0933637
voltage	0.0843285
clarity	0.0756007
intensity	0.0753288
"air pressure"	0.0751447
sharpness	0.0734373
crispness	0.0717513
"body temperature"	0.0714946
lightness	0.0706516
"blood sugar"	0.0701304
texture	0.0681905
"magnetic field"	0.0678976
velocity	0.0651079
brilliance	0.0641946
salinity	0.0630711
thickness	0.0625319
freshness	0.0618047
richness	0.0607211
portability	0.0600694
"circadian rhythm"	0.0592937
dosage	0.0573778
humidity	0.0565486
"blood pressure"	0.0564751
"bank rate"	0.0559795
"flow rate"	0.0559133
frequency	0.0554708
glare	0.0549319
warmth	0.0546982
width	0.0539705
fullness	0.0539448
HDL	0.0535876
"key rate"	0.0532239
acidity	0.053169
"heart rate"	0.0531077
homeownership	0.0530119
glow	0.0522228
"market penetration"	0.0516587
IQ	0.0514196
horsepower	0.0511552
"asset value"	0.0509538
illumination	0.0509278
gravity	0.0507623
wavelength	0.0498914
sparkle	0.0493851
simplicity	0.0491207
"skin color"	0.0489808
macro-economy	0.0488048
"medicare payment"	0.0487248
"drawing power"	0.0484465
glucose	0.0482087
vitality	0.0480891
sweetness	0.0479033
playfulness	0.0475577
sensitivity	0.0475265
complexity	0.0475148
"retirement age"	0.0474038
weirdness	0.0470931
hue	0.0470383
"noise level"	0.0469198
workload	0.046898
prevalence	0.0465707
sheen	0.046564
weightings	0.0463339
firmness	0.0461366
breadth	0.0460878
subtlety	0.0458808
wording	0.0456673
"operating cost"	0.0456026
"seating capacity"	0.0455416
wattage	0.0455227
purity	0.0454142
torque	0.0453278
fertility	0.0453112
"tax rate"	0.0451956
vigor	0.044863
pulse	0.0447186
gravitas	0.0446155
immediacy	0.0445354
brightest	0.0445052
pizazz	0.0444467
"life expectancy"	0.0440771
patina	0.0440341
severity	0.043851
radiation	0.0436322
reliability	0.043596
"shareholder value"	0.0435027
luster	0.0434464
"standard of living"	0.0433322
ridership	0.0432765
viewership	0.043206
added-value	0.0432027
"marketing cost"	0.0429835
spontaneity	0.04296
transparency	0.0429251
precipitation	0.042574
splotch	0.04252
"selling price"	0.0424834
"borrowing cost"	0.0423949
telomeres	0.0422802
configuration	0.0422552
saturation	0.0422142
"production cost"	0.0417343
colour	0.0416359
flowering	0.0416355
tempo	0.0416318
"test score"	0.0415998
metabolism	0.0415433
responsiveness	0.0414369
PSA	0.0414323
gradation	0.0413663
typeface	0.0413155
profitability	0.0412312
sophistication	0.041231
effectiveness	0.0407253
aggressiveness	0.0406398
"brain wave"	0.0404395
maneuverability	0.0403087
pH	0.040225
potency	0.0401621
brevity	0.0401594
attractiveness	0.0400957
liquidity	0.0400796
alignment	0.0400667
))
(BRIGHTON (desc 3676.91) (sims
Blackpool	0.158001
Riverdale	0.140765
"Hyde Park"	0.130629
Bensonhurst	0.129778
Naperville	0.128472
Chatham	0.124725
Elmira	0.124312
Englewood	0.122668
Beersheba	0.12158
Falmouth	0.121475
Dorchester	0.120562
Westfield	0.119612
Brentwood	0.11948
Somerville	0.113718
Tarrytown	0.113441
Haicheng	0.113052
Amherst	0.112111
LAKEWOOD	0.111148
"Mount Pleasant"	0.11062
Braintree	0.110176
Yonkers	0.109371
"Paradise Valley"	0.10844
Hempstead	0.108407
Medford	0.108092
Morristown	0.106795
"New Rochelle"	0.106384
"Highland Park"	0.106119
Holyoke	0.105787
Peekskill	0.105763
Winchester	0.104894
Northampton	0.104288
"Forest Hills"	0.103563
Buckhead	0.103194
Chappaqua	0.102739
Poughkeepsie	0.102286
Roxbury	0.101873
Limassol	0.101618
Norwich	0.100895
Chamonix	0.100781
Watertown	0.100655
Chester	0.10056
Hillsboro	0.0999799
Ensenada	0.09994
Montclair	0.0998167
Quincy	0.0985694
Marjayoun	0.0980154
Bedford-Stuyvesant	0.0979699
Brockton	0.0979032
Bedford	0.0976366
Tarzana	0.097603
Larnaca	0.0972471
Woburn	0.0961364
Needham	0.0960395
"Saratoga Springs"	0.0958596
Carthage	0.0955823
Baalbek	0.0947374
"Palm Springs"	0.0943355
"Brighton Beach"	0.0940574
Surrey	0.0939597
Flushing	0.0938938
Chatsworth	0.0932688
"Hell's Kitchen"	0.092787
Leskovac	0.0926411
"Van Nuys"	0.0925585
"East Hampton"	0.0911586
"New Bedford"	0.0906232
Brookline	0.0904878
"Garden City"	0.0904406
Gloucester	0.0901741
Williamstown	0.0897536
"Lake Worth"	0.0894969
Groton	0.089485
"New London"	0.0884874
Ipswich	0.0881813
"Little Havana"	0.0880187
Plano	0.0879574
Westport	0.0877764
Wallingford	0.0877594
"East New York"	0.0874053
Dover	0.0873601
"Fall River"	0.0872859
"Washington Heights"	0.0872006
Utica	0.0868356
"White Plains"	0.0867628
"East Orange"	0.0863259
Pomona	0.0860768
Kailahun	0.0859175
"Borough Park"	0.0852417
Duluth	0.0851455
ASHEVILLE	0.0849711
Portsmouth	0.0849586
Izmit	0.0846898
Kizlyar	0.0844648
Carrollton	0.084115
Haifa	0.0840783
Antalya	0.0838245
Skaneateles	0.0836644
Nottingham	0.0833162
"North Hollywood"	0.0832508
Nabatiyeh	0.0832324
"Port Elizabeth"	0.0831114
Scranton	0.0829321
Bloemfontein	0.0828974
"Long Island City"	0.0823905
Merida	0.0821235
"North Beach"	0.0819566
"Studio City"	0.0818767
"Park Slope"	0.0817772
"Miami Beach"	0.0817668
Peterborough	0.0816421
Missoula	0.0816289
Batticaloa	0.0816222
Sussex	0.0815997
MINEOLA	0.0815548
Ithaca	0.0815179
Clearwater	0.0813204
Bridgehampton	0.0811941
Dundalk	0.080926
Tribeca	0.0809201
Walpole	0.0808541
Acapulco	0.0808534
"Woodland Hills"	0.0807382
riverside	0.0805771
TEGUCIGALPA	0.0803918
Eilat	0.0800516
"Newport Beach"	0.0799896
Juba	0.0798223
Jericho	0.0797975
"Walnut Creek"	0.0795902
Vitoria	0.0788856
"San Sebastian"	0.0788491
Brownsville	0.0787443
Salem	0.0786932
Sochi	0.0785801
Malaga	0.078477
Huntington	0.0784522
Krakow	0.0779649
"Great Neck"	0.0779031
"Siem Reap"	0.0777884
Evanston	0.0777226
Gudermes	0.0776828
"East Los Angeles"	0.0774911
Pailin	0.0774095
Gulu	0.0772695
"Panama City"	0.0772287
Ballymoney	0.076873
Clifton	0.0768453
"Sherman Oaks"	0.0767803
Birmingham	0.0767409
Melrose	0.0766792
Farmington	0.0765435
Hastings	0.0765363
"Stone Mountain"	0.0765128
Bridgewater	0.076216
"Fort Lee"	0.076158
Kettering	0.0761156
Milton	0.0761081
Charlestown	0.0756712
Makhachkala	0.0755614
Youngstown	0.0755396
Lhokseumawe	0.075523
"New Haven"	0.0755062
Cicero	0.075475
Newton	0.0754039
Pelham	0.0753679
Pittsfield	0.0753414
Beidaihe	0.0753002
"East Harlem"	0.0751611
"Manhattan Beach"	0.0751488
Monterey	0.0750127
Astoria	0.0749834
Lucerne	0.0749111
"Bel Air"	0.0748846
Moshi	0.0748156
"Grand Junction"	0.0748124
"Cherry Hill"	0.0747985
CARACAS	0.0747972
Wellesley	0.0745328
bethel	0.0745286
Lawrenceville	0.074474
Greenville	0.0742923
Hopkinton	0.074276
Urus-Martan	0.074108
Medina	0.0740226
Tempe	0.073994
"High Point"	0.0737425
Ridgewood	0.0734605
Macoris	0.0734418
"Westchester County"	0.0733418
"Granada Hills"	0.0733415
Camden	0.0732839
Urosevac	0.0731552
Burlingame	0.0730971
"Pacific Palisades"	0.0729894
Encino	0.0729628
Waterloo	0.0729084
Vukovar	0.072862
Manchester	0.0728614
Schenectady	0.072843
Alpharetta	0.0728099
))
("Brighton Beach" (desc 1924.86) (sims
"Park Slope"	0.240168
Bedford-Stuyvesant	0.238573
"East New York"	0.230979
"Borough Park"	0.21915
Bensonhurst	0.204257
"Crown Heights"	0.202865
"Bay Ridge"	0.16674
"Washington Heights"	0.162984
"Red Hook"	0.161502
"Hell's Kitchen"	0.146182
Flatbush	0.14078
"North End"	0.132787
Riverdale	0.132611
Flushing	0.119439
Williamsburg	0.118808
"Little Italy"	0.118747
"Hyde Park"	0.114613
"Little Havana"	0.112302
"Long Island City"	0.110404
"North Beach"	0.103348
"Coney Island"	0.101027
"Highland Park"	0.100641
Tarzana	0.100071
Buckhead	0.0978932
"Manhattan Beach"	0.0959828
Chatsworth	0.095494
BRIGHTON	0.0940574
"East Los Angeles"	0.0934248
"Ocean City"	0.0921987
Dorchester	0.0914722
"Van Nuys"	0.0914691
Brownsville	0.0897452
Charlestown	0.0894452
Wildwood	0.0892835
LAKEWOOD	0.0892127
Chinatown	0.0890907
"East Harlem"	0.0875238
Tribeca	0.0874567
"La Jolla"	0.0865707
Englewood	0.086072
Astoria	0.0856522
Watts	0.0843724
"Old Town"	0.084089
"Granada Hills"	0.0827992
Roxbury	0.0815854
"Studio City"	0.0812319
Dunwoody	0.0809442
Brentwood	0.0806796
"Garden City"	0.0785403
Ridgewood	0.0785114
"Forest Hills"	0.0779224
"Brooklyn Heights"	0.0777256
Encino	0.0771708
"North Hollywood"	0.0762648
Queens	0.0762332
"Woodland Hills"	0.0737291
Yonkers	0.0717988
Morristown	0.0704595
"The Bronx"	0.0702437
"San Marcos"	0.0696913
"Greenwich Village"	0.0683263
Medford	0.0678441
Clifton	0.0674655
Dubuque	0.0658707
"East Village"	0.06581
Zhongguancun	0.0653611
Bridgeport	0.0650837
"South Beach"	0.0649082
"Miami Valley"	0.063036
"San Felipe"	0.0628688
Falmouth	0.062843
Kensington	0.0622495
Dubrovnik	0.0611541
"Huntington Beach"	0.0610784
"Virginia Beach"	0.0600915
ASHEVILLE	0.0599961
"South Bronx"	0.0598941
"South End"	0.0597957
Nacogdoches	0.0595871
"West Village"	0.0595398
Scarsdale	0.05916
Harlem	0.0583723
"Port St. Lucie"	0.057951
Inglewood	0.0578719
Soho	0.0577792
riverside	0.0577726
"inner city"	0.0575605
Greenwich	0.0574226
"San Fernando Valley"	0.0572421
"Stone Mountain"	0.0571976
"Saratoga Springs"	0.057184
Pomona	0.0571435
Westport	0.0570083
Scranton	0.0566965
Bloomfield	0.0562083
Modesto	0.0561301
"Har Homa"	0.0561222
Piedmont	0.0560912
"Happy Valley"	0.0555905
"Long Beach"	0.0553928
Lakeland	0.055005
"Fort Lee"	0.0548857
"Santa Rosa"	0.0546796
"Ciudad Juarez"	0.0545608
Medina	0.0543866
Carthage	0.0543237
"Harvard Square"	0.054285
Lynchburg	0.0540903
tenement	0.0539383
"White Plains"	0.0536021
Chatham	0.053378
Pacoima	0.0533026
"College Park"	0.0531614
Wallingford	0.0531295
beachfront	0.0531016
Norwood	0.052891
Tallinn	0.052856
Hollis	0.0526757
"New Rochelle"	0.0526654
"Sherman Oaks"	0.0520994
"Great Neck"	0.0517686
Oxnard	0.0516768
Youngstown	0.0514873
"skid row"	0.0513644
"New Bedford"	0.0512548
"row house"	0.0511132
"Santa Monica"	0.0510928
Hasidic	0.0510588
"Beverly Hills"	0.0510547
"Pacific Palisades"	0.0507582
"Miami Beach"	0.0504057
oceanside	0.0503996
"Cherry Hill"	0.0502789
shanty	0.0502598
Gloucester	0.0501887
"Union City"	0.0501675
Braintree	0.0496858
"East Orange"	0.0496775
Gainesville	0.0494956
"East End"	0.0492564
Barrio	0.0492454
"Antelope Valley"	0.0491077
"East St. Louis"	0.0490433
Bronx	0.0489006
ghetto	0.0487959
"Hollywood Hills"	0.0487836
Chappaqua	0.0486958
Xishuangbanna	0.0485633
Abilene	0.0485316
Igloo	0.0485248
"Delray Beach"	0.0481607
Pueblo	0.0480847
Chester	0.0480701
Aberdeen	0.0480161
"Walnut Creek"	0.0479715
Hillsboro	0.0479714
"bag of tricks"	0.0479713
"Notting Hill"	0.0478515
"Rockland County"	0.0478087
"central city"	0.0477211
"West Hollywood"	0.0476833
Spokane	0.0476266
bethel	0.0475039
Hoboken	0.0473709
fishbowl	0.0473222
Georgetown	0.0472826
"Midtown Manhattan"	0.0469317
Haifa	0.0468842
"New Haven"	0.0468398
Quincy	0.0468085
"Newport Beach"	0.0467355
Westwood	0.0464524
Baalbek	0.0464096
Brockton	0.0463628
Antwerp	0.0463146
"Lower Manhattan"	0.0462304
"town house"	0.0462284
"Culver City"	0.0459618
"Paradise Valley"	0.0459051
Brixton	0.0458509
Watertown	0.0456479
"Battery Park City"	0.0456353
"Rocky Mount"	0.0455028
Knoxville	0.0454029
Corona	0.0452167
"business district"	0.0451584
"Santa Fe"	0.0450431
Pudong	0.0450185
Decatur	0.0447457
"San Rafael"	0.0444018
ARCADIA	0.0441884
TARBORO	0.0441236
"New York Times Book Review"	0.0440095
Wichita	0.0439925
"Sonoma County"	0.0439748
Caprivi	0.0439714
Brookline	0.0439336
Wilmington	0.0437959
Lawrenceville	0.0437461
Bermuda	0.0435649
))
("Brigitte Bardot" (desc 1283.26) (sims
"Jose Ramos-Horta"	0.116018
Bjork	0.100639
"James Dean"	0.095078
"Harry Wu"	0.0936926
"Judy Garland"	0.0923688
"Marlon Brando"	0.0904245
"Catherine Deneuve"	0.0900918
"Xu Wenli"	0.0895445
"Barbra Streisand"	0.0852865
"Wei Jingsheng"	0.0822053
"Audrey Hepburn"	0.0802512
"Mae West"	0.0796508
"Liza Minnelli"	0.0760487
"Lana Turner"	0.0748872
"Gary Cooper"	0.0728321
"Abbie Hoffman"	0.0721454
"Greta Garbo"	0.0707406
"Ken Saro-Wiwa"	0.0701408
"Audra McDonald"	0.0681728
"Robert de Niro"	0.0672005
"Glenn Close"	0.0671155
"Richard Burton"	0.066613
"Jack Lemmon"	0.0634258
"Marlene Dietrich"	0.0628343
"Elvis Presley"	0.0610605
"Marzuki Darusman"	0.060952
"Jane Fonda"	0.0601634
"Tyra Banks"	0.0598702
"Jimmy Smits"	0.0585285
"J. Edgar Hoover"	0.0582683
"Jessye Norman"	0.0582508
"Jacqueline Kennedy"	0.0578174
"Geena Davis"	0.0575716
"Brooke Shields"	0.0571468
"Goldie Hawn"	0.056329
"Bette Davis"	0.055816
"Akira Kurosawa"	0.0547011
"Claire Danes"	0.0541574
"Elizabeth Taylor"	0.0537149
Sarandon	0.0531039
"Natural Born Killers"	0.0529473
"Susan Sarandon"	0.0528712
"Juliette Lewis"	0.0528207
"Grace Kelly"	0.0525582
"Katharine Hepburn"	0.0521502
"Ward Connerly"	0.0519608
"John Malkovich"	0.0515391
"Clark Gable"	0.0514583
"exotic dancer"	0.0504858
"Mena Suvari"	0.0502046
"Sharon Stone"	0.0501935
"Diane Keaton"	0.0492762
daredevil	0.0492086
"Laura Bush"	0.0485025
exterminator	0.0473953
Veerappan	0.04607
"Anne Bancroft"	0.0455186
"Sela Ward"	0.0454578
"Alec Baldwin"	0.0454444
"Minnie Driver"	0.0453046
"Gloria Steinem"	0.0451034
"snow leopard"	0.0445283
"Boutros Boutros Ghali"	0.0444339
"Vanessa Redgrave"	0.0442154
"Josephine Baker"	0.044192
"Lauren Bacall"	0.044094
"Ian McKellen"	0.0440091
"John Wayne"	0.0438013
"Queen Latifah"	0.0436129
Checchi	0.043496
"Jennifer Lopez"	0.0431929
"David Duchovny"	0.0431503
"Denzel Washington"	0.0431359
anesthetic	0.0431213
"Giorgio Armani"	0.0427585
"Princess Mononoke"	0.0423843
"William Bennett"	0.0422816
"Jackie Robinson"	0.0422304
"Sophia Loren"	0.0420864
Winnebago	0.0420509
"Andy Warhol"	0.0419895
"Tennessee Williams"	0.0419196
"Stephen Rea"	0.0417459
"Michael Douglas"	0.0416695
"Sammy Davis Jr."	0.0414929
"Princess Margaret"	0.0412622
"Annette Bening"	0.0412483
Akayesu	0.0409503
"Bette Midler"	0.0409223
"little leaguer"	0.0409211
"Charlton Heston"	0.0408827
"Foxy Brown"	0.0405883
councilwoman	0.0404072
))
(brill (desc 5297.56) (sims
"Steven Brill"	0.11919
Hersh	0.0913771
Hodler	0.0848393
Barron	0.0847257
Jovanovic	0.0837975
Ritter	0.0830338
Prewitt	0.0802884
Krugman	0.0770754
"Tina Brown"	0.0768785
McCall	0.0756512
Alioto	0.074671
Schippers	0.0743084
Finkel	0.0738969
Talebi	0.0734127
Rothenberg	0.0732843
"Der Spiegel"	0.0729676
Spiegel	0.0728877
Lehane	0.0726602
Ruehe	0.0723276
Waxman	0.0719295
Kasoulides	0.0715103
D'Alessandro	0.0713599
Advani	0.0712701
Hanley	0.070768
Postol	0.0706564
Kornberg	0.0691474
Aziz	0.0685514
Hevesi	0.0682808
McCurry	0.0680999
Mandelson	0.0676016
O'Neil	0.0674762
Ruff	0.0671062
Malu	0.0669088
Leghari	0.0668031
Bakaly	0.0667871
op-ed	0.0666668
"Business Week"	0.0666569
Azizah	0.065732
Redbook	0.0656536
Caddell	0.0653462
Kato	0.0652602
"de Charette"	0.0650128
Collier	0.0644323
Nickerson	0.0644095
Gilman	0.064237
Jayakumar	0.0641311
Epstein	0.0637832
Remnick	0.0637339
Tarawneh	0.0636835
Demaci	0.0636516
Fagan	0.0633769
Wilhelm	0.0631946
Velayati	0.0630741
Mustafa	0.0630662
Levine	0.0627722
Bruton	0.062766
Goldberg	0.0623069
Bolger	0.0622832
Diouf	0.0622468
Broaddrick	0.062169
Cornyn	0.0620944
Nugent	0.061841
Colburn	0.0616395
Weil	0.0616158
Stossel	0.0615935
Brock	0.0614473
Mudge	0.0610142
"New England Journal"	0.060974
Newsweek	0.0605087
Singson	0.0604577
Myhrvold	0.0604092
Husseini	0.0602704
Paxon	0.060064
Narayanan	0.059977
Prueher	0.0599436
Kyprianou	0.0599274
BARNICLE	0.0598282
Satcher	0.0598046
McKeon	0.0596447
"Conde Nast"	0.0595604
Rosenthal	0.0595157
Inquirer	0.0594908
Ralston	0.0594873
Rodionov	0.0591927
Vogel	0.0591502
Pagones	0.0590054
Bronfman	0.0589637
Alarcon	0.0589241
Kendall	0.0588819
"Consumer Reports"	0.0587885
Levitt	0.0587859
Robertson	0.0586249
Esquire	0.0585668
LaPierre	0.0584321
Yazdi	0.0584046
Imperatori	0.058296
Weinberg	0.0582905
Venables	0.0582357
Brandt	0.0581688
Mahoney	0.0580821
Cao	0.0580239
Daschle	0.05799
Russert	0.0577531
"National Geographic"	0.0575805
Blackwell	0.0573672
Bulatovic	0.0571404
Nemtsov	0.0569461
Kessler	0.0569309
Coen	0.0567632
Boueiz	0.0565041
Iglesias	0.056442
Breyer	0.0563338
Wolfson	0.0562202
Rubenstein	0.0561128
Caldera	0.0560908
Goldsmith	0.0560371
"Sheikh Ahmed Yassin"	0.0559892
Eizenstat	0.0559524
Blatter	0.0558179
Feldman	0.0557866
Quinn	0.0557859
Sobel	0.0557741
Zeng	0.055618
Podesta	0.0556005
Hanna	0.0555694
Seleznyov	0.0555061
Levin	0.0554757
"Wall Street Journal"	0.0554679
Soares	0.0554283
Insulza	0.0554172
Kulikov	0.0553323
Yastrzhembsky	0.0552061
Larson	0.0549385
Auerbach	0.0549277
Grasso	0.0548832
Molinari	0.0547878
FALWELL	0.0546154
MacLean	0.0545936
Zuckerman	0.0545062
Rosenblatt	0.0544745
Spielberg	0.0544297
Shayler	0.0543589
Hybl	0.0542427
Manley	0.0542157
Murad	0.0542072
Sumaye	0.0541839
Allchin	0.0540145
Rollins	0.0539989
Basayev	0.0539548
Guterres	0.0539508
Hawke	0.0538331
Siegel	0.0538012
McKinnon	0.0537336
Chuan	0.0535477
Kumaratunga	0.0534996
Meguid	0.0534884
"National Journal"	0.0534671
Cheng	0.0534421
Stein	0.0534169
Joklik	0.0534029
Meskini	0.0533029
hodgson	0.0530633
Harrick	0.0530481
Katzenberg	0.0529849
"TV guide"	0.0529541
Andreessen	0.0529294
Mikhailov	0.0528897
Alatas	0.0528854
MIYAZAWA	0.0526201
Irving	0.0525942
"Sports Illustrated"	0.0524707
Boyle	0.0524465
Tevanian	0.0524204
Newhouse	0.0523966
Gaston	0.0523869
Enquirer	0.0523274
IEA	0.0522736
Hirschfeld	0.0522506
Mukora	0.0522434
Kaplan	0.0522352
Yadav	0.0522325
Cuomo	0.0521842
"Free Press"	0.0521802
Khamenei	0.0521708
Wolfensohn	0.052166
Schuessel	0.0521208
"Entertainment Weekly"	0.0521121
Zuma	0.0521089
Naumann	0.0520022
Majko	0.0519667
Abdel-Meguid	0.0519467
Kurtz	0.0519406
Sarid	0.0519283
Conroy	0.0518215
Healy	0.051808
Cline	0.0515698
Freeh	0.0515366
Garcetti	0.0515314
Layden	0.0514059
Ecevit	0.0513958
))
(brilliance (desc 18590.8) (sims
originality	0.110454
tenacity	0.10109
prowess	0.0997426
wit	0.0986107
greatness	0.0937951
charm	0.0936654
genius	0.0919207
skill	0.0916324
Creativity	0.0901196
generosity	0.0897387
elegance	0.0886318
excellence	0.0873195
bravery	0.0864107
honesty	0.0858215
intellect	0.0852328
talent	0.0845596
beauty	0.0845203
modesty	0.08309
toughness	0.0829881
courage	0.082775
charisma	0.0824745
vitality	0.0822703
virtuosity	0.0819075
flair	0.0809257
perseverance	0.0804994
artistry	0.0804665
professionalism	0.0801982
intensity	0.0794753
eloquence	0.0789683
ingenuity	0.0766336
grace	0.0761411
clarity	0.0758518
ability	0.0751106
wisdom	0.0750841
sophistication	0.0748647
humility	0.0738647
persistence	0.0728517
determination	0.0726406
accomplishment	0.0726162
humor	0.0721223
resilience	0.0716919
acumen	0.0714374
poise	0.0712519
intelligence	0.0708338
"sense of humor"	0.070784
warmth	0.0705251
resourcefulness	0.0703927
bravado	0.0702979
competence	0.0702185
dedication	0.0701414
decency	0.0698823
boldness	0.0696764
versatility	0.0695159
passion	0.069493
strength	0.0692687
mastery	0.0691213
style	0.0691169
fearlessness	0.0689467
enthusiasm	0.0688383
aggressiveness	0.0684657
excitement	0.0681718
endurance	0.0676043
athleticism	0.0675398
"good looks"	0.0670851
vision	0.0670739
arrogance	0.0669962
dignity	0.0666478
vigor	0.0663736
finesse	0.0657341
dynamism	0.0655414
temper	0.0654206
personality	0.0653339
daring	0.0652659
temperament	0.0650116
compassion	0.0648619
freshness	0.0645557
stamina	0.0642971
brightness	0.0641946
sensibility	0.0640478
glamour	0.0636191
ferocity	0.0633972
precision	0.0631402
imagination	0.0630273
foresight	0.0630038
subtlety	0.062976
swagger	0.0628131
savvy	0.0628019
depth	0.0624071
audacity	0.062315
ambition	0.0622701
acuity	0.0622371
simplicity	0.0620644
complexity	0.061962
energy	0.06186
deftness	0.06185
spontaneity	0.0618276
demeanor	0.0613049
candor	0.0612738
cockiness	0.0610843
seriousness	0.0609235
exuberance	0.0608327
"hard work"	0.0606094
spirit	0.0605118
self-confidence	0.0604444
inventiveness	0.0600697
sincerity	0.0600442
grandeur	0.0598855
lunacy	0.0598403
resiliency	0.0595314
patience	0.0595119
consistency	0.0593796
quality	0.0593534
emotion	0.0592247
devotion	0.0591428
instinct	0.0589932
poignancy	0.0588091
splendor	0.0586389
diligence	0.0583181
pragmatism	0.0581764
lightness	0.0579868
solidity	0.0579259
selflessness	0.0578816
fortitude	0.0578047
vulnerability	0.0574333
glory	0.0573012
insight	0.0566615
agility	0.0565484
quickness	0.0561722
heroism	0.0560764
durability	0.0560613
hubris	0.0560056
eccentricity	0.0558646
optimism	0.055739
cleverness	0.0557099
grit	0.0554856
dexterity	0.0552725
ruthlessness	0.0552618
intuition	0.0551933
realism	0.0548948
kindness	0.0548066
sweetness	0.0546877
valor	0.0545906
opulence	0.0545897
perfection	0.0545747
richness	0.0544004
achievement	0.054278
"joie de vivre"	0.0542174
confidence	0.0539475
inspiration	0.0539084
heft	0.0538027
levity	0.0537263
sensitivity	0.0535691
superiority	0.0535362
willingness	0.0535075
musicality	0.0534198
craftsmanship	0.0533242
stupidity	0.0533174
purity	0.053187
conceit	0.0530495
uniqueness	0.053016
curiosity	0.0529653
decisiveness	0.052836
allure	0.0527843
loyalty	0.0527666
"common sense"	0.0527381
triumph	0.0526707
reticence	0.0526616
maturity	0.0525122
whimsy	0.05226
lyricism	0.0521961
irony	0.0520767
lucidity	0.0520546
flamboyance	0.0519923
absurdity	0.0519139
guile	0.0518526
fluidity	0.0517914
potency	0.0517482
explosiveness	0.0517004
integrity	0.0516043
unpredictability	0.0513518
popularity	0.0512051
rectitude	0.0511291
erudition	0.0509987
pleasure	0.0509256
refinement	0.0508862
wizardry	0.0507387
risk-taking	0.0506831
joy	0.0506487
Cunning	0.050624
stature	0.0505206
aptitude	0.0504042
pyrotechnics	0.0500043
thrill	0.0499614
verve	0.0498552
pride	0.0498235
tone	0.0496774
"good fortune"	0.0496604
intimacy	0.0496318
coherence	0.0494357
breadth	0.0493653
))
(brim (desc 3371.66) (sims
overflowing	0.118493
"putty knife"	0.0472919
"Star of David"	0.04722
stockpot	0.0468786
Catfish	0.0465508
"geographical area"	0.0448611
"telephone set"	0.0435925
ponytail	0.0414542
eaves	0.0413809
visor	0.0403974
swoosh	0.0401002
))
(brimstone (desc 1045.65) (sims
"engine failure"	0.0904954
revivalist	0.0725179
non-Catholic	0.0636065
"packing plant"	0.0620105
JAKES	0.0525753
"rescue equipment"	0.0514715
tracer	0.0502812
Noah	0.049835
"ice storm"	0.0490511
Futurama	0.0482082
"production problem"	0.0471507
willpower	0.0469598
Gunsmoke	0.0455507
"P.T Barnum"	0.0451254
migraine	0.0429658
"fire control"	0.0423522
"milk cow"	0.0416524
belching	0.0416404
doomsday	0.0416095
damnation	0.0414925
Sung	0.0413288
))
(brine (desc 4242.38) (sims
marinade	0.12237
Liquid	0.0883233
broth	0.0810393
"ice water"	0.0807808
vinegar	0.0767115
syrup	0.0744543
sauce	0.0732794
Botox	0.0662635
vinaigrette	0.065908
"chicken stock"	0.0633997
"peanut oil"	0.063288
yolk	0.0626955
tar	0.0625633
custard	0.0619744
juice	0.0615098
paste	0.061466
tapenade	0.0601116
iodine	0.0598097
onion	0.059348
"olive oil"	0.0592407
fluid	0.0590831
perspiration	0.0588662
effluent	0.0585105
"beef stock"	0.0584113
dressing	0.0581672
Chickpea	0.0579469
sulfur	0.0579009
"chicken broth"	0.0566696
"vegetable oil"	0.0564279
"lemon juice"	0.0560196
cabbage	0.0544966
vermouth	0.0544138
"tomato sauce"	0.0537788
"sulfuric acid"	0.0536467
Chili	0.0536158
cyanide	0.053474
"black olive"	0.0532742
"garlic clove"	0.0528629
buttermilk	0.0523389
"red pepper"	0.0519909
epoxy	0.0514744
chlorine	0.0512177
bulgur	0.0509551
"green pepper"	0.0509485
sausage	0.0508978
anesthetic	0.0508092
anchovy	0.0506876
seasoning	0.0506166
morel	0.0499783
Garlic	0.0498051
pickle	0.0496171
crust	0.0496092
insulin	0.0489896
"human waste"	0.0489644
Calcium	0.0485131
puree	0.048429
chutney	0.0482931
pilaf	0.0481309
slime	0.0480703
"hot stock"	0.0479532
leek	0.0479339
"embryonic cell"	0.0478175
pancetta	0.0475343
"water chestnut"	0.0473626
porridge	0.0472868
"green onion"	0.0472706
"orange juice"	0.0471422
shallot	0.0470433
mayonnaise	0.0469644
cider	0.0468176
DRIPPING	0.0467683
charcoal	0.0467119
"nitrous oxide"	0.046635
gruel	0.0465897
bran	0.0465073
thyme	0.0463395
"lime juice"	0.0462879
celery	0.0462739
slurry	0.0462277
mustard	0.0461893
collagen	0.0461885
"bay leaf"	0.0461701
jalapeno	0.0460334
herb	0.0460113
"water vapor"	0.045955
"chili sauce"	0.0459412
"Exxon Valdez"	0.045674
chilies	0.0456064
polenta	0.0455774
stuffing	0.0455641
"about @ cup"	0.0453793
asparagus	0.0452897
panko	0.045217
Calvados	0.0450918
Sewage	0.0450522
"sesame oil"	0.0449492
parsley	0.0449003
caper	0.0446573
tortellini	0.0446117
breadcrumb	0.0444452
artichoke	0.0442419
"whipping cream"	0.0441884
scallion	0.0441519
cornmeal	0.0440764
pep	0.0440546
"tap water"	0.0440108
grease	0.0438784
rum	0.0438177
nitrogen	0.043816
crawfish	0.0437543
sachet	0.0436777
moisture	0.043534
cornstarch	0.0435279
wastewater	0.043496
"salad dressing"	0.0433194
"ground beef"	0.0431488
chiles	0.043099
pomegranate	0.0429936
horseradish	0.0429897
tannin	0.042672
Basil	0.0426618
eggplant	0.0425582
"barbecue sauce"	0.0424998
hyphen	0.0423534
crumb	0.042197
Sulphur	0.0420862
ginger	0.0419914
gelatin	0.0419392
bacon	0.0419212
flavoring	0.0417906
molasses	0.0417513
"egg yolk"	0.0417062
caramel	0.0414552
tofu	0.0413553
nutrient	0.0413299
oatmeal	0.0412405
lemongrass	0.0410004
Parmesan	0.0410004
chive	0.0407005
"break of serve"	0.0406986
"tomato juice"	0.0406966
sass	0.0406792
"white wine"	0.0406398
"elbow room"	0.0405173
sawdust	0.040463
"curry powder"	0.0404296
dough	0.0404066
peanut	0.0404023
shortening	0.0402804
"baking soda"	0.0402573
"pepper sauce"	0.0402248
"pineapple juice"	0.0402233
canola	0.0402092
dioxide	0.0400796
tub	0.040022
))
(bringing (desc 1387.66) (sims
"Taxi Driver"	0.130148
Goodfellas	0.0765626
"Raging Bull"	0.0633864
shutting	0.0616932
winnowing	0.0607464
renting	0.0590768
laying	0.0571562
Twenty-five	0.054461
"Very Bad Things"	0.0526208
Burnt	0.0496815
dropping	0.0486528
emptying	0.0478937
leveling	0.0474166
lowering	0.0473877
"Cradle Will Rock"	0.0472822
stripping	0.0466063
Seizinger	0.0465428
deletion	0.0459613
"almost two-thirds"	0.0430546
dribbling	0.0428272
abolishment	0.0426287
filtering	0.041991
"Runaway Bride"	0.0416819
"FAO Schwarz"	0.0415753
willfulness	0.0414624
toppling	0.0414289
taskforce	0.0407096
legging	0.0406898
"about three-fourths"	0.0406004
"Sixty-five percent"	0.0402592
scaling	0.040118
))
(brink (desc 26614.7) (sims
verge	0.321621
precipice	0.178807
cusp	0.135977
threshold	0.0979614
edge	0.0976925
abyss	0.0777804
throe	0.0709462
midst	0.0671605
fruition	0.0641793
specter	0.0640069
doorstep	0.0632489
"front line"	0.060096
wake	0.0591289
aftermath	0.0590244
footing	0.0567677
forefront	0.0562236
eve	0.0540802
likelihood	0.0527394
"cutting edge"	0.051165
harbinger	0.0495671
possibility	0.049488
heel	0.0479996
brunt	0.0457982
extinction	0.044103
recurrence	0.0431961
ravages	0.0430919
periphery	0.0425463
fringe	0.0424823
height	0.041481
))
(Brinkley (desc 1516.91) (sims
Wolfson	0.116724
Neff	0.11159
Whitsitt	0.0959933
Devine	0.095637
Ruehe	0.094975
Skiles	0.0948668
Aventajado	0.0947966
Kearin	0.093855
Cui	0.0927437
Durand	0.0906535
Jeffers	0.090639
Piot	0.0891505
Caddell	0.0881308
Passarella	0.0879845
Felton	0.0878253
Insulza	0.0874092
McKenna	0.0858289
Finkel	0.085239
Condit	0.0845548
HELLER	0.0845241
Ainge	0.0833579
Lessig	0.0831817
Posner	0.083107
Naumann	0.0829997
Waxman	0.0824791
Edelstein	0.0818836
Cooley	0.0818176
Farber	0.0817396
Singson	0.0815528
Chadwick	0.0814488
Harr	0.0810446
hodgson	0.0809979
Azizah	0.0808585
Kyprianou	0.0808053
Patten	0.0806007
Schafer	0.0804935
Muckler	0.0797613
Conroy	0.07933
Guthridge	0.0790343
Ganassi	0.078547
LaPierre	0.0784785
"de Charette"	0.0779308
Blass	0.0779278
Cline	0.0778195
Wenger	0.0773797
Meissner	0.0773419
Koskinen	0.077241
Marineau	0.0771805
Milbury	0.0770055
Silverstein	0.076674
Hirst	0.0766249
Hauser	0.0763437
Prewitt	0.0760664
Samuelson	0.0758751
Goldin	0.0752778
Reinhardt	0.0748933
Harkes	0.0747715
Juma	0.0743191
Sojo	0.0742491
ISSEL	0.0738545
Fuentes	0.0738401
Fuente	0.0733298
Babcock	0.0732595
McCurry	0.0731934
Advani	0.0731386
Burleigh	0.0725886
Bustamante	0.0725574
Hine	0.0722665
Sununu	0.0721741
Rubenstein	0.072018
Ruggiero	0.0717269
Baucus	0.071012
Flanagan	0.0709435
Kennard	0.0706695
Kornberg	0.0705544
Rong	0.0705063
DeFrantz	0.0704923
Bubb	0.0704513
Reinsdorf	0.0704098
Sykes	0.0703676
Neilson	0.0702848
Sheehan	0.0701143
Schuerholz	0.0700661
Rabe	0.0700318
Jimy	0.0699378
Rosenthal	0.0698881
Eizenstat	0.0697742
Cashman	0.0696872
Fleischer	0.0695981
McKinnon	0.0695632
Zucker	0.0694556
Carollo	0.0694243
Siazon	0.0689798
Aliotti	0.0689378
Solis	0.0688385
Polian	0.0688383
Gullikson	0.068753
Popovich	0.0686696
Harmoko	0.068488
Lamont	0.0684131
Zambrano	0.0683883
Moonves	0.0682433
Summitt	0.068176
Geiger	0.0679584
Calipari	0.0679261
Hoddle	0.0679176
Kasoulides	0.0679173
Iger	0.0678051
Fieger	0.0677156
Sperling	0.0674148
GAGE	0.0673733
Barros	0.0673621
Beazley	0.067351
Monson	0.0670057
Harmon	0.0668846
Sheehy	0.0668645
Hyman	0.0667978
Vance	0.0667761
Shriver	0.0665697
Klima	0.0665247
Zarb	0.066423
Kessler	0.0662996
Moratinos	0.066093
Podesta	0.0660769
Ratner	0.0660485
Verney	0.0658527
Cowan	0.0657549
Edelman	0.0657289
Ebbers	0.0656628
Dunleavy	0.0655727
Robson	0.06554
McKeon	0.065538
Johnston	0.0652913
Goossen	0.0652281
Pryor	0.065037
Heinrichs	0.0650279
Solich	0.0647917
Nemtsov	0.0647728
Shaffer	0.0647593
Braswell	0.0647319
Scioscia	0.0645065
Leland	0.0644317
Kupchak	0.0644251
Hodler	0.0644132
Halloran	0.0642156
"Brian Cashman"	0.0640032
Sheng	0.063921
Cleary	0.0636787
Aguirre	0.0636457
Troussier	0.0633586
Steiner	0.0633332
Sensenbrenner	0.0631459
Jarrell	0.0629495
Zhirinovsky	0.0628095
Gosper	0.0626357
Gossage	0.0626222
Nadler	0.0624837
Allard	0.0623873
Tevanian	0.062378
Bonner	0.0622633
Havelange	0.0622237
Henning	0.0622212
Wetherell	0.062216
Ftorek	0.0621961
Siegel	0.0620783
Colangelo	0.0620758
Boucher	0.0620489
Satcher	0.0619791
McGarity	0.0619662
Weldon	0.0619312
Waigel	0.0618857
Rahal	0.0618643
Kauffman	0.0617857
Schuessel	0.0617568
Reimer	0.0617272
Betts	0.0616451
Barshefsky	0.061608
Cortines	0.0615702
Velayati	0.061504
Moog	0.0614529
Butterworth	0.0614486
Wasserman	0.0613964
Wexler	0.0613672
Kirkpatrick	0.0613639
Allchin	0.0613445
Echols	0.0612598
chauvinist	0.0612352
Hess	0.0610149
Schmalensee	0.0609865
Pittman	0.0609618
Wasdin	0.0609551
Halberstam	0.0608975
Kyl	0.0608528
Alderson	0.060735
"Orlando Mercado"	0.0607157
Romar	0.0607135
Lehane	0.0606894
Vogts	0.0606127
Rendell	0.0605036
"administration official"	0.060484
))
(Brinkman (desc 924.18) (sims
"Joe Brinkman"	0.159001
Hendry	0.142106
Nickerson	0.113989
Arens	0.102616
Hirschbeck	0.100654
D'Alessandro	0.0921626
Sassa	0.0919834
Carmichael	0.0900943
Ftorek	0.0888677
Ciampi	0.0873816
Wenger	0.0871023
Ruehe	0.0843478
Duisenberg	0.0836742
Edelstein	0.0829909
Espinosa	0.082117
Ganassi	0.0814951
Rifkind	0.0811376
Holl	0.0809759
Beilin	0.0802688
Strauss-Kahn	0.0798945
Schmalensee	0.079741
Kesri	0.0786119
Hauser	0.0784192
Nacchio	0.077647
Yastrzhembsky	0.0772605
Muckler	0.0771368
ITC	0.0767438
Blatter	0.0766556
Allchin	0.0762217
Fernandes	0.0760386
Orban	0.0755162
Mineta	0.0751601
Soares	0.07508
Bruton	0.0745609
DeFrantz	0.0745361
Levitt	0.0733566
Granik	0.0728876
Goldin	0.0724939
Sobel	0.0715332
Korman	0.0710412
Fassett	0.0709289
Borodin	0.0708321
Nebiolo	0.0707182
Yazdi	0.070656
"Brian Cashman"	0.0703654
Grachev	0.0702874
Eizenstat	0.0702192
Hybl	0.069855
Difrancesco	0.069509
Naumann	0.0692111
Dodik	0.0689734
Wolfson	0.0688252
McKenna	0.0685273
Vogts	0.0683284
Mendes	0.068321
Rongen	0.0682039
Brazile	0.0679525
Phelan	0.067928
Havelange	0.0678083
Hevesi	0.0672988
looker	0.0670109
Kyl	0.0668708
Singson	0.0661002
"Huang Ju"	0.066037
Caddell	0.0659875
McManus	0.0658683
Juma	0.0658467
Platt	0.0658456
"Faisal Husseini"	0.0655259
boozer	0.0652552
linesman	0.0652145
Rendell	0.0651264
Severino	0.0650756
Maslyukov	0.064904
Whalen	0.0647627
Gaffney	0.0647322
Esiason	0.0645993
Hakim	0.0644964
Alarcon	0.0642489
Megret	0.0639747
Esposito	0.063454
Azad	0.0634071
Guterres	0.0631502
Teresi	0.0626519
Cooley	0.0626224
Buzek	0.0625781
Patel	0.0624326
Rodionov	0.0623611
Zagallo	0.0623552
"David Bar-Illan"	0.0623314
Demaci	0.0621389
Velayati	0.0620241
McLane	0.0619223
Biggs	0.0617195
Donnan	0.0616687
Zuma	0.0614513
Padilla	0.0613556
Beckwith	0.0612301
Walesa	0.0610079
Ghalib	0.0604822
Nevin	0.0604685
Conroy	0.0601114
Jonah	0.0599874
Milutinovic	0.0597161
Blazevic	0.0596906
Beazley	0.0596535
Epstein	0.0595729
Ainge	0.0595508
Murayama	0.0594732
Iger	0.0593701
Durand	0.0593406
Upton	0.0592958
Schuerholz	0.059237
Passarella	0.0592337
Wilhelm	0.0590228
"President Lee Teng-hui"	0.0590188
jacoby	0.0590098
Healy	0.0589016
Gullikson	0.0587555
Eisner	0.0586639
Condit	0.0586626
Nickles	0.058518
Zucker	0.0583696
Kearin	0.0583125
Stubbs	0.0582945
Shareh	0.0581225
Dungy	0.0580021
Kornberg	0.0579542
"Phan Van Khai"	0.0579252
Engelberg	0.0579044
Pustovoitenko	0.0578716
Popovich	0.0577969
Advani	0.0576577
Ratner	0.0576491
"John Cornyn"	0.0576011
Fino	0.0575235
"Jim Nicholson"	0.0575171
Snowe	0.0575163
Malan	0.0574818
Rudman	0.0571632
Cashman	0.0571327
Ozersky	0.0571144
"defense lawyers"	0.0570764
"Nancy Reagan"	0.05695
Lari	0.0569034
Modise	0.0569009
Cavanaugh	0.0568428
Kerik	0.0568337
Prueher	0.0567872
Westendorp	0.0566689
Gibbons	0.0565974
Crocker	0.0565617
APA	0.0563118
Musgrove	0.0562965
Gossage	0.0562871
Shaath	0.0562839
McGuinness	0.0562823
Shays	0.0562176
"Secretary General Esmat Abdul-Meguid"	0.0561912
Molinari	0.0561649
Thapa	0.0561378
Ikimi	0.0559954
Camacho	0.0559352
"John Sweeney"	0.055918
Stoyanov	0.0558975
Ebersol	0.0555724
Hargrove	0.0554822
Sumaye	0.0554333
Shalala	0.0552405
"Dai Bingguo"	0.0551223
Raitt	0.0551112
Berlusconi	0.0551044
Hiett	0.0550309
"Le Pen"	0.0549226
Sheehan	0.0547968
Mackey	0.0547116
Harmoko	0.0546966
Fiedler	0.0546409
Kasoulides	0.0546302
Hodler	0.0545416
Inhofe	0.0545187
Hartley	0.0544699
Turetzky	0.0544121
Kingsley	0.0543419
"Koichi Kato"	0.0541918
Sherrill	0.0541681
Ershad	0.054068
Danner	0.054019
Markovic	0.0539639
"Lee Hsien Loong"	0.0539524
Gosper	0.0539375
Shelby	0.0539199
Massey	0.0539067
Figgis	0.0538621
Lehane	0.0537708
Gail	0.0536709
hodgson	0.0536616
Nemtsov	0.0535992
"Hashim Thaci"	0.0535973
Rashid	0.0534303
))
(brinkmanship (desc 2772.36) (sims
brinksmanship	0.23672
gamesmanship	0.125399
one-upmanship	0.124921
finger-pointing	0.108529
"sour grapes"	0.0911191
"saber rattling"	0.0898215
haggling	0.0882023
arm-twisting	0.0879743
"double talk"	0.0870587
horse-trading	0.0869303
"power politics"	0.0868846
self-censorship	0.0850669
posturing	0.0829093
"damage control"	0.0758273
"character assassination"	0.0753229
irresponsibility	0.0743684
"class warfare"	0.0737763
"waiting game"	0.0731546
"tit for tat"	0.0719744
chicanery	0.0718451
"civil disobedience"	0.0699199
"name calling"	0.0693618
hyperbole	0.068928
bargaining	0.0685723
bluster	0.0674643
soul-searching	0.0673714
lawlessness	0.0670996
"wishful thinking"	0.0660708
"price cutting"	0.0657286
shenanigan	0.0654166
"musical chair"	0.0652391
hubris	0.0648248
make-believe	0.0644762
thuggery	0.0644023
triage	0.0639593
wrangling	0.0637344
"shock therapy"	0.0634691
blackmail	0.062831
overkill	0.0626284
Minuet	0.0623372
give-and-take	0.0622571
tug-of-war	0.0620077
"moral hazard"	0.0619027
"poker game"	0.0617364
Indiscipline	0.0617304
bickering	0.0616209
gotcha	0.061412
derring-do	0.0614085
suspense	0.0613433
"shell game"	0.0613373
acrimony	0.0606721
trickery	0.0606326
obfuscation	0.060388
"sleight of hand"	0.0602114
chutzpah	0.0601779
charade	0.059753
gridlock	0.0596891
outperformance	0.0585712
friction	0.0585569
partisanship	0.0583956
maneuvering	0.0582404
favoritism	0.0582373
volunteerism	0.0577989
stonewalling	0.0574537
cowardice	0.0574459
recrimination	0.0573045
back-and-forth	0.0572305
coercion	0.057217
belt-tightening	0.0571041
bloodletting	0.0570628
deception	0.056571
"district line"	0.0563161
gimmickry	0.0561415
wrangle	0.0561373
rancor	0.0561088
vacillation	0.0559153
sparring	0.055632
"guessing game"	0.0552565
Gambit	0.05498
immaturity	0.0548252
intimidation	0.0548211
adventurism	0.054371
hegemony	0.053849
agitation	0.0536608
penance	0.053593
self-promotion	0.0533359
miscommunication	0.0531737
"detective work"	0.0525023
roulette	0.0524079
incitement	0.0523823
cannibalism	0.0522652
blackjack	0.0522025
barbarity	0.0520538
pinball	0.0519635
atonement	0.0519552
"arms race"	0.0516844
tiff	0.0512611
stalemate	0.0510698
electioneering	0.0509218
self-preservation	0.0508957
hooliganism	0.0506517
connoisseurship	0.0505406
deceit	0.0503212
"numbers game"	0.0502748
pollination	0.0500253
fisticuffs	0.0496957
colloquy	0.0495975
"parlor game"	0.0494419
risk-taking	0.049163
voyeurism	0.0491392
"sexual activity"	0.0490447
"direct action"	0.0490425
criminality	0.0487465
poker	0.0486812
self-expression	0.048543
self-restraint	0.0482691
hegemonism	0.0481032
malfeasance	0.0480944
chess	0.0479563
gunplay	0.0478685
silliness	0.047839
tussle	0.047736
solitaire	0.0475623
expediency	0.0475285
swordplay	0.0475033
bravura	0.0472038
belligerence	0.0469382
arbitrage	0.0468641
hilarity	0.0468079
angst	0.0467352
tightrope	0.046707
"hot potato"	0.0464676
permissiveness	0.0463998
Flattery	0.0463716
semantics	0.0463083
sickout	0.0460814
Bingo	0.0458672
hand-wringing	0.0458197
"deficit spending"	0.0456707
procrastination	0.0456249
harangue	0.0455563
hypocrisy	0.0454181
barbarism	0.0453624
irreverence	0.0451805
firefights	0.0450875
self-destruction	0.0450548
persecution	0.0449126
graciousness	0.0447257
sportsmanship	0.0446716
"crisis situation"	0.0446282
humility	0.0445718
Venting	0.0444963
"trump card"	0.044205
selfishness	0.0441968
selflessness	0.0441375
ping-pong	0.0440954
behaviour	0.0440453
protectionism	0.0439818
"guardian angel"	0.0437933
"powder keg"	0.0437829
price-fixing	0.0437646
divisiveness	0.0437264
expansionism	0.0437263
hiccup	0.0436277
contrition	0.0434177
spat	0.0433868
"lynch mob"	0.0433072
paralysis	0.0432325
skittishness	0.0432033
ruckus	0.0431782
"flash point"	0.043136
nastiness	0.0431279
maneuverings	0.0430013
decisiveness	0.0429733
mendacity	0.0429696
plagiarism	0.0428481
juggling	0.0428472
in-fighting	0.0428424
"ill will"	0.0428288
"trial and error"	0.0427315
horseplay	0.0426633
logjam	0.0425552
"proxy fight"	0.0424815
synergy	0.0422383
cronyism	0.0422098
prodding	0.0421115
pluralism	0.0420534
disunity	0.042038
disconnection	0.0419528
animosity	0.0418042
sarcasm	0.0417417
laxity	0.0416722
resiliency	0.0416116
misjudgment	0.0416081
craziness	0.0416046
"slave trade"	0.0415616
seduction	0.041493
cockiness	0.0414907
bravado	0.0414776
subterfuge	0.041474
))
(brinksmanship (desc 922.714) (sims
brinkmanship	0.23672
one-upmanship	0.15482
"saber rattling"	0.137734
"musical chair"	0.124661
gamesmanship	0.120932
"tit for tat"	0.114457
cowardice	0.110246
finger-pointing	0.101827
fisticuffs	0.0992317
gotcha	0.0975689
"power politics"	0.0959096
hubris	0.0930662
misjudgments	0.0919019
"battle line"	0.0883371
in-fighting	0.0878697
"class warfare"	0.0863333
"double talk"	0.0861713
lawlessness	0.0860677
"hot potato"	0.085633
semantics	0.0854781
charade	0.0852211
colloquy	0.0848791
make-believe	0.0848084
cross-fertilization	0.0842905
"miniature golf"	0.0808671
procrastination	0.0807711
irresponsibility	0.0783985
"shell game"	0.0781027
penance	0.0775751
self-promotion	0.0768615
aloofness	0.0758527
Minuet	0.0756036
disrespect	0.0752415
solitaire	0.0749219
tug-of-war	0.0746919
self-preservation	0.0745155
"damage control"	0.0737479
"name calling"	0.0732225
horse-trading	0.0727152
opportunism	0.0718761
arm-twisting	0.0715116
"parlor game"	0.0714917
sparring	0.0711506
"National Invitation Tournament"	0.0706177
cockiness	0.070154
bloodletting	0.0697955
pinball	0.0696905
Rubicon	0.0693654
voyeurism	0.0687116
"civil disobedience"	0.0683644
crosscurrent	0.0677362
insensitivity	0.0676426
posturing	0.0675541
elan	0.0671856
statesmanship	0.0669902
rancor	0.0666142
roulette	0.0664485
moxie	0.0663704
chutzpah	0.0662924
disconnection	0.0661322
Flattery	0.0661242
deftness	0.0659902
ping-pong	0.0656636
"arms race"	0.0653529
overexposure	0.0648092
"American League Division Series"	0.0644963
give-and-take	0.0641187
expediency	0.0641085
"character assassination"	0.0639293
largess	0.0637131
hyperbole	0.0634845
"sea lane"	0.0633635
"guardian angel"	0.0631336
"proxy fight"	0.0629813
"match play"	0.0629531
haggling	0.0628231
penitence	0.0627947
adulteration	0.0626539
firefights	0.062167
disunity	0.0619553
slugfest	0.0612612
"guessing game"	0.0610043
backsliding	0.0606344
"trump card"	0.0605226
acrimony	0.0602143
petulance	0.0601977
disloyalty	0.0601554
recidivism	0.0597346
Nuke	0.059391
favoritism	0.0589998
chicanery	0.05897
"Little League World Series"	0.0587105
hegemony	0.0582046
nonentity	0.0580977
blather	0.0579001
intransigence	0.0578089
fearlessness	0.0568193
stalling	0.0567483
overheating	0.056585
contrition	0.0560483
hegemonism	0.0559395
"sleight of hand"	0.0558534
dogfight	0.0558196
"foul play"	0.0556824
Series.	0.0554547
price-fixing	0.0552968
malignancy	0.0552534
selflessness	0.0549738
isolationism	0.0549567
"traffic cop"	0.0549416
realignment	0.0547611
skittishness	0.0547406
deceit	0.0547339
vendetta	0.0547232
McCarthyism	0.0545893
reportage	0.0545021
trickery	0.0544335
arbitrage	0.0544238
plagiarism	0.0540762
Gambit	0.0537945
intoxication	0.0537476
"Chinese Basketball League"	0.0537408
"biological warfare"	0.0536684
disorganization	0.0536641
weaponization	0.0535933
graciousness	0.05341
"price cutting"	0.0533999
Ostracism	0.0532821
snobbery	0.0532433
tightrope	0.0532163
egotism	0.0531306
polarization	0.0528527
"commercial activity"	0.052835
fealty	0.0527844
belligerence	0.0526465
selfishness	0.052515
cohabitation	0.0525065
"wishful thinking"	0.0522818
self-indulgence	0.0522531
eugenics	0.0522096
gridlock	0.0521286
vitriol	0.0520636
dishonesty	0.0519224
fallibility	0.0518325
overkill	0.0515939
adventurism	0.0515606
immaturity	0.0515172
recrimination	0.0513113
nimbleness	0.0512488
harangue	0.0512108
divisiveness	0.0511482
stonewalling	0.0509637
"numbers game"	0.0508228
formalism	0.0506416
conflagration	0.0505485
destabilization	0.0502811
annihilation	0.0501033
hooliganism	0.050015
back-and-forth	0.0500063
seduction	0.0499469
maneuvering	0.0498794
barbarity	0.0495608
despotism	0.0494504
crossfire	0.0494012
incompatibility	0.0491804
thuggery	0.0491207
"French Revolution"	0.0491034
opprobrium	0.0490151
derring-do	0.0489515
marginalization	0.0485632
"flash point"	0.0485195
influence-peddling	0.0485149
"chemical warfare"	0.0483994
adaptability	0.0482784
maneuverings	0.0482034
"waiting game"	0.0481834
"staying power"	0.0479597
swordplay	0.0479129
realpolitik	0.0477553
socializing	0.0476878
dino	0.0476223
radioactivity	0.0476182
mumbo-jumbo	0.0474922
dissension	0.0474609
gimmickry	0.0474405
appeasement	0.0473182
"ill will"	0.0472701
relativism	0.0470432
"Trojan Horse"	0.0470205
"collective bargaining"	0.0468609
conciliation	0.046809
"Sartaj Aziz"	0.0466528
sportsmanship	0.0465769
caprice	0.0465065
malice	0.0464351
agitation	0.0463552
rudeness	0.0463363
"chess game"	0.0462807
apocalypse	0.0462669
resourcefulness	0.0462625
))
(brio (desc 2541.39) (sims
queso	0.0798376
deftness	0.0685725
inventiveness	0.0683802
immediacy	0.0673473
Banda	0.0672449
flair	0.0615301
verve	0.0601455
fearlessness	0.0590911
aplomb	0.0590305
swagger	0.0581395
gusto	0.0573172
cockiness	0.0562611
cleverness	0.0551993
boldness	0.0549308
hardness	0.0544595
"sense of purpose"	0.0543901
tenacity	0.0541056
ingenuity	0.0528752
originality	0.0518399
eloquence	0.0517937
virtuosity	0.0506617
"light touch"	0.0496232
spunk	0.0494844
plausibility	0.0491898
zeal	0.0490377
competence	0.0468508
Panache	0.0467911
fluidity	0.0465692
elan	0.046482
oomph	0.0463191
"sleight of hand"	0.0459536
believability	0.0458975
nonchalance	0.045892
toughness	0.0458631
gimmickry	0.0457849
naturalness	0.0456832
"first unit"	0.045343
liveliness	0.0452488
artistry	0.0447592
steadiness	0.0442894
bravado	0.0442495
diligence	0.0442052
mishmash	0.0440908
pizazz	0.0438362
resonance	0.0432342
prosthesis	0.0418741
directness	0.0418641
back-and-forth	0.0414319
Castaneda	0.0412016
composure	0.0408738
pyrotechnics	0.040503
"set piece"	0.0401517
stylings	0.0401251
gentleness	0.0400359
))
(brioche (desc 2411.28) (sims
"French bread"	0.28683
"white bread"	0.151365
"pine nut"	0.140545
baguette	0.131208
bread	0.125646
shortbread	0.120066
prosciutto	0.118482
mozzarella	0.116654
almond	0.115367
"macadamia nut"	0.113126
phyllo	0.112051
salami	0.104071
cucumber	0.103751
"sesame seed"	0.101017
croutons	0.0995529
"pumpkin seed"	0.0994739
bun	0.0972032
"red onion"	0.0927244
scone	0.0921542
"goat cheese"	0.0911609
"cumin seed"	0.089941
walnut	0.0898645
toffee	0.0891979
hazelnut	0.0884932
eggplant	0.0881089
tomato	0.0869294
Parmigiano-Reggiano	0.0856371
pear	0.0836451
avocado	0.0826951
"cream puff"	0.0820218
RHUBARB	0.0814103
"pound cake"	0.0812008
polenta	0.0809449
croissant	0.0806674
zucchini	0.0805999
biscotti	0.0805482
pistachio	0.080208
fennel	0.0797954
crostini	0.0794219
mango	0.0790807
rye	0.0789224
pineapple	0.0788345
marshmallow	0.0785787
"sesame oil"	0.0778616
"coriander seed"	0.0772436
bagel	0.0772353
kumquat	0.0766385
scallion	0.0758654
onion	0.0743208
pecan	0.0741951
"sweet corn"	0.0739526
shallot	0.0737677
ham	0.0737424
nectarine	0.0732358
bacon	0.072921
jalapeno	0.0723698
pancetta	0.0723144
oatmeal	0.0720863
"pie crust"	0.0706311
crumb	0.0702496
"foie gras"	0.0699687
tofu	0.0694153
"pumpkin pie"	0.0689433
"Swiss cheese"	0.067916
"scrambled egg"	0.0677604
"beef tenderloin"	0.0672147
brisket	0.0668641
"shiitake mushroom"	0.0667305
"smoked salmon"	0.0661033
pumpkin	0.0660851
"red pepper"	0.0658676
"mustard seed"	0.0657657
melon	0.0657518
lemon	0.0652246
"chocolate chip cookie"	0.0648469
"green onion"	0.0646628
leek	0.0644544
tortilla	0.0640915
pastry	0.0635771
carrot	0.0635243
pimento	0.0634518
"iceberg lettuce"	0.0631626
loaf	0.0627695
"water chestnut"	0.0625706
"blue cheese"	0.0620839
watermelon	0.0618452
lettuce	0.0617562
custard	0.0616825
coconut	0.0614023
Masa	0.0610574
"red bell pepper"	0.0608123
"green pepper"	0.0603254
celery	0.0599629
Carpaccio	0.0598377
dough	0.0596158
peach	0.0595585
cantaloupe	0.0588364
"peanut butter"	0.0584519
artichoke	0.0577859
"curry powder"	0.0573626
"sour cream"	0.0569582
raspberry	0.0568248
noodle	0.0567225
brownie	0.0565378
Roquefort	0.0563552
"cream cheese"	0.0563325
"roast beef"	0.0560198
plantain	0.0557919
brie	0.0554809
"fennel seed"	0.0554313
"filet mignon"	0.0551011
yeast	0.0550624
ginger	0.0550446
vanilla	0.0550225
"chicken breast"	0.0548949
hummus	0.054101
"sweet potato"	0.05387
arugula	0.0538182
"about @/@ cup"	0.053566
ravioli	0.053536
"layer cake"	0.0528403
chard	0.0526552
"bread and butter"	0.0518729
apricot	0.0514019
chevre	0.0507651
"Makes @"	0.0505047
pastrami	0.0501534
chive	0.049982
"birthday cake"	0.0499567
fig	0.0497646
muffin	0.0497626
biscuit	0.0496522
turnip	0.0492974
butterscotch	0.0492669
radish	0.0491484
pickle	0.0491439
"Krispy Kreme"	0.0484886
kernel	0.0481085
"chocolate cake"	0.0478212
lime	0.0477191
veal	0.0475355
"Pepperidge Farm"	0.0470408
barley	0.0469052
"coconut milk"	0.0465014
watercress	0.0463308
"cheddar cheese"	0.0462165
"plum tomato"	0.0461606
Endive	0.0461226
"pecan pie"	0.0461164
blueberry	0.0460445
"black olive"	0.0459921
spinach	0.0458865
florets	0.0457714
"Earth's crust"	0.0456007
milkshake	0.0453365
"bell pepper"	0.0452863
cumin	0.044915
beet	0.0449058
praline	0.0447822
"whipped cream"	0.0447167
"pot roast"	0.0445709
"meat loaf"	0.0444563
monkfish	0.0442765
saffron	0.04424
"apple pie"	0.0439528
"milk chocolate"	0.0438864
radicchio	0.0438321
lentil	0.0438125
Parmesan	0.0437615
coriander	0.0436725
cutlet	0.0436625
focaccia	0.0435748
cracker	0.043424
morsel	0.0433533
chorizo	0.0432482
parsnip	0.0431208
Cheddar	0.0431123
cashew	0.0429964
persimmon	0.0429443
pancake	0.0425724
tomatillo	0.0423582
Pudding	0.0422372
Fondue	0.0422367
"heavy cream"	0.0420496
Quince	0.0420169
granola	0.0416974
Jell-O	0.0416969
oregano	0.0416788
lox	0.041522
Brasil	0.0414382
mutton	0.0411404
buttermilk	0.0410988
"work surface"	0.0409148
"romaine lettuce"	0.0409145
"Caesar salad"	0.0408103
"tortilla chip"	0.0407734
mano	0.0407042
shortcake	0.0406372
tenderloin	0.0405168
COBBLER	0.0402522
))
(briquette (desc 1652.01) (sims
methanol	0.0919867
CFCs	0.0773456
"liquefied petroleum gas"	0.073529
slurry	0.0734485
charcoal	0.0733468
propane	0.0697124
telomerase	0.0684558
olestra	0.0673233
methane	0.0670018
Firewood	0.0665428
"iron ore"	0.0658732
"kerosene lamp"	0.0657833
"washing machine"	0.0653226
"space heater"	0.0649621
typeface	0.0636623
boiler	0.0619222
"gas plant"	0.061406
"growth hormone"	0.0609418
biogas	0.060339
"diesel oil"	0.0599732
ethanol	0.0593637
ember	0.0585658
"compact car"	0.0580737
zinger	0.0577748
"fuel oil"	0.0573938
furnace	0.0573043
"fish fillet"	0.0571579
"two million tons"	0.0569422
"fossil fuel"	0.0567035
Sulphur	0.0553302
"four million tons"	0.0551539
"poison gas"	0.0550383
"paper cup"	0.0549999
"hot plate"	0.0548783
defoliant	0.0535869
"water heater"	0.0531445
preservative	0.05265
LNG	0.0524834
"Lincoln Bedroom"	0.0523698
hemoglobin	0.0515807
"rare earth"	0.0515364
"tree branch"	0.0515173
heater	0.0510718
"ultraviolet light"	0.0509665
burner	0.0509351
flack	0.0506631
"chemical agent"	0.0504035
Meteor	0.0502363
"packing material"	0.0496683
"Ford Explorers"	0.0495602
"chemical compound"	0.049388
"about @@ million tons"	0.0493529
sundial	0.0493216
stoker	0.0492759
"five million tons"	0.0492642
hydrocarbon	0.0490241
"nuclear energy"	0.0488698
"pig iron"	0.0488511
"computer language"	0.0486905
swab	0.0485649
"catalytic converter"	0.0482497
"more than @@ million tons"	0.0481674
hGH	0.0477897
dung	0.0477434
RU-@@@	0.0476948
hyphen	0.0473361
MSG	0.0472437
tampon	0.0471459
hydropower	0.0471249
Canty	0.0470505
stents	0.0468765
grating	0.0467339
phonics	0.0464646
Zing	0.0463674
grappa	0.0463029
"solar cell"	0.0459596
"microwave oven"	0.0456115
air-conditioner	0.0455284
contraceptive	0.0451504
kiln	0.0450723
"Ford Expedition"	0.0450563
"coat of paint"	0.044973
florets	0.0448217
cinder	0.0447784
"four tons"	0.0445177
part-timer	0.044473
petrochemical	0.0443616
"hoisin sauce"	0.0443524
crayon	0.0443188
"fire ant"	0.0442051
interferon	0.0442005
kWh	0.0441531
fungicide	0.0441101
wallboard	0.0440993
"rocket fuel"	0.0440414
bauxite	0.0439489
sheeting	0.0438512
Masa	0.0437185
"herb garden"	0.0436982
"palm oil"	0.0436979
"memory chip"	0.0435767
opiate	0.0435315
latke	0.0435068
"pirate ship"	0.043402
"rocket engine"	0.0433789
panko	0.043325
polypropylene	0.0433106
"gasoline bomb"	0.0432094
scallop	0.0430672
"silver dollar"	0.0430369
sobriquet	0.0429832
peat	0.0424227
Sarin	0.0423836
"dried fruit"	0.0423154
"ping-pong ball"	0.0422128
Godot	0.0421751
"shooting star"	0.042149
"about @ cups"	0.0420685
rollovers	0.0420184
blinker	0.0419795
Taxol	0.0419685
whichever	0.0419047
"tin can"	0.0418462
"heavy hitter"	0.0418448
smudge	0.0418249
"one million dollars"	0.0417991
outsold	0.0417625
matzo	0.0417373
mifepristone	0.0416286
Broccoli	0.0416142
vermin	0.0414885
"sunflower seed"	0.0413896
tranquilizer	0.0413353
rattan	0.0413217
hovercraft	0.0413117
"water pump"	0.0412582
nitrogen	0.0412348
"fuel cell"	0.041153
Masterworks	0.0411416
"steel plate"	0.0410918
melatonin	0.0408524
inflexibility	0.0408261
ketamine	0.0408253
"freshwater fish"	0.0408195
plantain	0.0407839
"over @@@,@@@ tons"	0.0407426
kerosene	0.0407087
"Merce Cunningham"	0.040706
chevre	0.0406195
proviso	0.0405331
"wheat flour"	0.0404523
mitochondria	0.0403959
"about @@,@@@ tons"	0.0403372
cider	0.0403255
savory	0.0403057
Erythropoietin	0.0403033
"ballpoint pen"	0.0403006
"household appliance"	0.0402884
peptide	0.0402234
"chorus line"	0.04016
"over @@@ tons"	0.0400868
newsprint	0.0400514
goalpost	0.0400323
))
(Brisbane (desc 12158.1) (sims
Perth	0.263843
MELBOURNE	0.260204
Adelaide	0.250252
Hobart	0.21768
Sydney	0.166247
Auckland	0.151293
"Gold Coast"	0.139603
Cairns	0.138522
Durban	0.1363
Canberra	0.128262
Basle	0.126272
Madras	0.125576
Darwin	0.121728
Hanover	0.121476
PALERMO	0.120099
Munich	0.119443
"Kuala Lumpur"	0.1194
Osaka	0.118301
"Bandar Seri Begawan"	0.117864
Linz	0.117245
Dushanbe	0.116795
Srinagar	0.11639
Lucknow	0.115913
SEOUL	0.115512
Birmingham	0.1141
Amsterdam	0.113349
Fremantle	0.1133
Hamburg	0.113239
Duesseldorf	0.113166
Dunedin	0.112804
Halle	0.110975
"St. Petersburg"	0.110326
Bombay	0.109266
Dublin	0.108796
Carlsbad	0.108685
Lausanne	0.108247
Belfast	0.10784
Tapachula	0.106811
Tashkent	0.106367
Minsk	0.10613
"Sao Paulo"	0.105965
Zurich	0.105884
Peshawar	0.105728
Lyon	0.105223
Bujumbura	0.104736
LISBON	0.104532
Fukuoka	0.104522
Cardiff	0.10428
Stuttgart	0.104215
"Little Rock"	0.104197
"San Sebastian"	0.103915
Filderstadt	0.102961
BUDAPEST	0.102947
"Mexico City"	0.102944
Jakarta	0.10223
Kitzbuehel	0.102189
"La Paz"	0.101895
Lahore	0.10183
Asuncion	0.101775
Bangkok	0.101555
Manchester	0.101429
Copenhagen	0.101415
Trondheim	0.101079
Barcelona	0.100941
Vladikavkaz	0.100674
Karachi	0.100489
JOHANNESBURG	0.100334
BUCHAREST	0.10031
Accra	0.100117
Oslo	0.0999209
Kigali	0.0998744
Rotterdam	0.0998625
Dusseldorf	0.0998299
"Ho Chi Minh City"	0.0991738
Nagano	0.0990239
"CHIANG MAI"	0.0988828
"Phnom Penh"	0.0987724
Doha	0.0987578
Madrid	0.0982885
Prague	0.0982491
Milan	0.0981422
Algiers	0.0981241
Nagoya	0.0975796
Dili	0.0974235
Manila	0.0974118
Windhoek	0.0972113
HARARE	0.0971537
Taipei	0.0971432
Gaborone	0.0968452
Surabaya	0.0962278
PATNA	0.0961121
"San Jose"	0.0960986
Eastbourne	0.0959656
Hyderabad	0.0959466
Istanbul	0.0957661
BOGOTA	0.0957164
WARSAW	0.0954246
Sapporo	0.0946264
Glasgow	0.094543
Tokyo	0.0941257
Indianapolis	0.0941064
HANOI	0.0940969
BRATISLAVA	0.0939402
Guadalajara	0.0938802
STOCKHOLM	0.0937628
SOFIA	0.093196
Riyadh	0.0931672
Pretoria	0.0929782
Helsinki	0.0924086
"Buenos Aires"	0.0923053
"Indian Wells"	0.0922701
"Key Biscayne"	0.0921581
Winnipeg	0.0921097
Gelsenkirchen	0.0920592
ATHENS	0.0918789
MANAMA	0.0917876
Montreal	0.0914031
Halifax	0.0913454
"Guatemala City"	0.0906707
Asmara	0.0906703
Gothenburg	0.0905998
Pristina	0.0904312
Calcutta	0.089883
KIEV	0.0896097
"Tel Aviv"	0.089607
TEGUCIGALPA	0.0894394
Vilnius	0.0893775
Medellin	0.0893314
"Cape Town"	0.0892086
Vienna	0.0887544
Utrecht	0.0886558
Marseille	0.0886051
Newcastle	0.0884132
ZAGREB	0.0883449
KAMPALA	0.0877196
Antwerp	0.087634
Ljubljana	0.0876206
Paris	0.0874903
Christchurch	0.0872433
Shiraz	0.0871182
Santiago	0.0868325
Seville	0.086642
Berlin	0.0865475
Strasbourg	0.0863553
TIRANA	0.0862625
Leipzig	0.085929
"Melbourne Park"	0.0858895
Minneapolis	0.0857341
Toulouse	0.0855762
Kuito	0.085342
CARACAS	0.085265
Managua	0.085004
Bremen	0.0850004
Sarajevo	0.0848589
Nantes	0.0845161
Frankfurt	0.0842295
Monrovia	0.0837768
Kuching	0.0836634
Skopje	0.0836377
Bangalore	0.0833793
Rome	0.0831583
Katmandu	0.0831377
"Addis Ababa"	0.0829784
Lusaka	0.0829188
Alexandria	0.0827779
Havana	0.0824981
Naples	0.082394
"Los Angeles"	0.0823202
DHAKA	0.0822746
Yerevan	0.082123
Beirut	0.0819819
Memphis	0.0817812
Toronto	0.0817603
"Quebec City"	0.08155
"New Delhi"	0.0814488
Vientiane	0.0814462
"Manhattan Beach"	0.0813692
Heerenveen	0.0813538
Lille	0.0812987
Orlando	0.0812603
"San Diego"	0.0811245
Wellington	0.0810142
Tbilisi	0.0809891
"St Petersburg"	0.0807189
Jayapura	0.0807024
Tripoli	0.0806847
Eindhoven	0.0804792
Kabul	0.0804338
Greenville	0.0804112
LONDON	0.0804084
Podgorica	0.0802072
Suva	0.0801387
Muscat	0.0801215
"Santo Domingo"	0.0801132
Monterrey	0.0800567
Abidjan	0.0798349
Tucson	0.0797702
COLOMBO	0.0796068
"Oklahoma City"	0.079578
"Rio de Janeiro"	0.0795249
))
(Brisby (desc 2098.69) (sims
"Vincent Brisby"	0.275763
"Troy Brown"	0.201063
"Shawn Jefferson"	0.191102
"Tony Simmons"	0.160476
"Ty Law"	0.143783
"Terry Glenn"	0.136888
"Ben Coates"	0.119609
"Willie Clay"	0.0988832
"Bruce Armstrong"	0.097228
McDuffie	0.095129
Milloy	0.0915946
"Tim Dwight"	0.0898998
Woodson	0.0894495
Glenn	0.0888966
"Henry Thomas"	0.0873472
McGinest	0.0864433
Lafleur	0.0805007
"Chris Calloway"	0.0803546
Mashburn	0.079181
"Jimmy Smith"	0.078953
"Steve Israel"	0.0788619
Arrington	0.0769105
Coates	0.0766408
Meggett	0.0744643
"Drew Bledsoe"	0.0739488
Chmura	0.0735508
"Ike Hilliard"	0.0734958
Fiedler	0.0734733
Bledsoe	0.0727608
"Windrell Hayes"	0.0713051
"Shannon Sharpe"	0.0700344
crewmates	0.0679899
"Terance Mathis"	0.0670756
Hardaway	0.0668539
Jefferson	0.0664819
Tverdovsky	0.0655686
Chrebet	0.0649926
Wheatley	0.0634466
Holloway	0.0633703
Koskinen	0.0632431
Perec	0.0626571
"Todd Collins"	0.0623596
Cassidy	0.0617948
"Antonio Langham"	0.0616022
Paulson	0.0615631
"Adam Vinatieri"	0.0609735
"Ted Johnson"	0.0607371
Whitfield	0.0602715
Nilsson	0.0598953
Casserly	0.0598748
Dunlap	0.0592103
Audette	0.0586304
Wadsworth	0.0586131
Duchesne	0.0581462
Sanan	0.0579193
"Chad Eaton"	0.0578845
"Oronde Gadsden"	0.0575672
"Peter Warrick"	0.0574664
Calloway	0.0574458
Grbac	0.05698
Langham	0.0566036
Swann	0.0565785
"Cris Carter"	0.0565683
Schoeneweis	0.0565319
Marinovich	0.0563259
DIMON	0.0559437
"Andre Rison"	0.055756
McNabb	0.0556665
Appier	0.0555839
"Yancey Thigpen"	0.0555704
Stoudamire	0.0553303
"rainbow trout"	0.0550168
Kanell	0.0547362
Fuhr	0.0547351
Valdes	0.0546969
Sharpe	0.0540954
"Chris Slade"	0.05397
Laettner	0.0537875
"Ronnie Bradford"	0.0534499
"Jim Harrick"	0.0531817
Iverson	0.0530611
ty	0.0527687
Shawn	0.0524751
looker	0.0522414
Pudge	0.0521632
Newsome	0.0521207
"Kevin Faulk"	0.0520283
Chuasiriporn	0.0520005
Ammiano	0.05178
Deion	0.0515682
Caminiti	0.0514867
Layden	0.0514725
Testaverde	0.0514174
"Bobby Newcombe"	0.051377
"Eric Moulds"	0.0513147
Vasile	0.0513116
DeBerg	0.0509999
Platt	0.0509563
"Billy Davis"	0.0508849
"Amani Toomer"	0.0507354
Neuheisel	0.0505508
Hilliard	0.0505201
"James McKnight"	0.05027
"Dez White"	0.0501923
Hollins	0.0500969
Eskew	0.0499811
Aliotti	0.0499804
"Tedy Bruschi"	0.0499669
Mercker	0.0498858
"Steve Atwater"	0.049879
Leyritz	0.0498386
Whitsitt	0.0497413
Trantino	0.0496502
Ripken	0.0495624
McGarity	0.0494989
Sele	0.0494071
Mirer	0.0493537
Galloway	0.0492802
"Joey Galloway"	0.0492324
Slade	0.0490666
"Frank Sanders"	0.0489009
Hundley	0.0488828
"Keyshawn Johnson"	0.0488334
Soward	0.0488169
Cota	0.0488071
Stephenson	0.0487703
Shinn	0.0487568
Herges	0.048718
Cronkite	0.0486821
"Danny Farmer"	0.0485949
"LaVar Arrington"	0.048459
Dougherty	0.0482904
Romar	0.048112
Hindery	0.047831
gamecock	0.0474811
"Ferric Collons"	0.0474457
TARPLEY	0.0474209
Candiotti	0.0473836
Lassiter	0.0473645
Ozersky	0.0471713
Atwater	0.0470726
Gagne	0.0468458
Bondevik	0.0467669
Neely	0.0466939
Hornacek	0.0465337
Toomer	0.0465241
Cowan	0.0464178
"Danny Kanell"	0.0463862
Bengals	0.0463287
Asprilla	0.0463021
Brandi	0.0461501
Spellman	0.0461093
Wendt	0.0460833
Ismail	0.0460703
Popovich	0.0460448
Clooney	0.0460368
McGinnis	0.0460018
Mathis	0.0459761
Gatti	0.0459009
McCann	0.0458929
Reilly	0.0456946
McDyess	0.0456527
Gugliotta	0.0456525
McCaffrey	0.0456375
Williamson	0.045609
McGrady	0.0456033
Alves	0.045602
Vizcaino	0.045599
Loroupe	0.0455814
"Robert Brooks"	0.0455761
"Pete Carroll"	0.0455639
"Dwight Clark"	0.0455519
Hudek	0.045502
"La Russa"	0.0454826
Schaeuble	0.0454749
Voskuhl	0.0454243
Helton	0.045371
"Fighting Irish"	0.0453411
Capel	0.0453354
Shareh	0.0452674
Counsell	0.0452117
Cordero	0.0451661
"R. Jay Soward"	0.0451527
Bradford	0.0451016
Gogel	0.045086
Meche	0.0450111
Stefan	0.0449268
Dreifort	0.0446901
"Robb Nen"	0.044666
McDOWELL	0.0446373
Niedermayer	0.0445885
Messier	0.0445675
Liston	0.0445543
Richter	0.0444859
Isringhausen	0.0444609
CORYATT	0.0444159
Divac	0.0443759
Drew	0.0443706
Webber	0.0443117
Diller	0.0442192
))
(Briscoe (desc 912.984) (sims
Henning	0.148097
Pape	0.14785
Cline	0.144702
Merritt	0.142869
Arron	0.141953
O'Hara	0.140176
Morse	0.134312
Grunwald	0.133141
Mucha	0.130469
bock	0.127174
Jeffers	0.12593
Farber	0.123099
Sorensen	0.122001
Bassett	0.121854
Brazile	0.120779
Paxon	0.120134
Fiorina	0.119827
Kirkpatrick	0.119338
Meissner	0.118797
Zuckerman	0.117791
Ono	0.117218
McFadden	0.117026
Tuttle	0.115552
Flockhart	0.11417
Rossotti	0.113704
Greenwald	0.113403
McDonnell	0.113206
Cleary	0.111604
Hickman	0.111502
Knapp	0.110689
Bratton	0.109387
Tilberis	0.10932
Mott	0.109311
Egan	0.109218
Lowry	0.109216
Haines	0.109033
COYNE	0.108962
swank	0.108374
O'Sullivan	0.108234
Dowd	0.107939
Abram	0.107621
Lurie	0.107172
Hartley	0.106996
Marchand	0.10574
Kingsley	0.105707
Crockett	0.105156
Farrell	0.105023
Mckee	0.104975
Moscoso	0.1047
Brogna	0.104546
Tharp	0.104212
Edelstein	0.1042
Godfrey	0.104063
Seymour	0.10371
Roberson	0.103668
Forrest	0.103307
DeFrantz	0.102888
Marineau	0.102732
Shriver	0.10271
Molinari	0.10265
Menchu	0.102535
Deneuve	0.102273
Swenson	0.102014
Griffiths	0.101979
Lockwood	0.101979
Arbour	0.101536
Suarez	0.101442
Rosenthal	0.101119
Kagalovsky	0.10081
Espinoza	0.100261
Fay	0.0999947
Hadley	0.0989882
Wiggins	0.0988344
Adkins	0.0987311
Werner	0.0987198
LeFave	0.0986734
Whyte	0.0984233
Hagen	0.0982164
Sills	0.0981298
Quintero	0.0980589
Summitt	0.0978162
Harman	0.0977821
lauder	0.097775
Kurtz	0.0976087
Stahl	0.0974928
Atwood	0.0971589
Kurth	0.0970501
Kirby	0.0969429
Goldin	0.0968358
Vasquez	0.0965424
Babcock	0.0963707
Betts	0.0962649
Yoon	0.0957594
Hendrickson	0.0956237
Waxman	0.0955742
Ricci	0.095339
Sommer	0.0951115
Markovic	0.0950898
Sheedy	0.0948588
Weiner	0.0946558
Slatkin	0.094416
Boyle	0.0940633
Oliveira	0.0940284
Orton	0.0939705
Wasserstein	0.0936686
Chouinard	0.0935167
Soyinka	0.0933133
Chukwu	0.093147
Geiger	0.0929976
Samuelson	0.0929214
Padilla	0.0926228
Rowley	0.0925949
Copeland	0.0924979
Rossi	0.0924432
Pearce	0.0924422
hodgson	0.0921424
Mortimer	0.0919229
Duffy	0.0918525
Nilsson	0.0918466
Garvey	0.0917137
Marquez	0.0915345
Feng	0.0915149
Jaffe	0.0914193
Donohue	0.0910838
Shurmur	0.0904863
Snowe	0.0901821
Hanley	0.0901601
Rubinstein	0.0900879
Carollo	0.0900629
Patten	0.0899371
Tobin	0.089928
Sheehy	0.0898226
Stephenson	0.0897602
Ackerman	0.0896316
Lundberg	0.0895
Rivlin	0.0893893
Seltzer	0.0893728
Ashrawi	0.0891834
Edelman	0.0891228
Saunders	0.0887034
Northup	0.0886783
Greco	0.0886539
Jacquet	0.0885296
Ingalls	0.0885172
Cronin	0.0884259
Rutherford	0.0883006
Theron	0.0880677
Newhouse	0.0880281
Kelso	0.0879755
Silverstein	0.0878457
Keenan	0.0876284
Bellamy	0.0876113
Dragila	0.0874332
Midler	0.0874327
Lampkin	0.0873699
Devine	0.0873598
Bessette	0.0872978
Pascal	0.0871774
Puzo	0.0869668
swain	0.0868396
Hecht	0.0867933
Sasser	0.0867553
McMillan	0.0866166
Ikeda	0.0865004
Finney	0.0864121
GAGE	0.0863679
Contreras	0.0863677
Kimmel	0.0863304
Pierson	0.0863098
Ebersol	0.0861817
Garber	0.0861241
McQueen	0.0861226
Moroni	0.0861164
Cui	0.0859837
Sheehan	0.0859739
Manley	0.0858444
Bushnell	0.0857959
Weil	0.0856794
Jensen	0.0856622
Borbon	0.0856496
Carmichael	0.0855595
Madden	0.0855097
Byrne	0.0855014
Nasrin	0.0854901
Weisman	0.0854628
Kroll	0.0854295
Rodionov	0.0852506
Sharma	0.0851926
Haynes	0.0851803
FAWCETT	0.0851474
Seligman	0.0850442
Kumar	0.0849433
Chenoweth	0.0848439
Ivey	0.0848342
Gilligan	0.0847656
Sahnoun	0.0846525
Rowan	0.0846206
Najera	0.0846124
"Consumer Product Safety Commission"	0.0845143
Lange	0.0844167
))
(brisket (desc 3474.08) (sims
meatloaf	0.194837
"roast beef"	0.183245
ham	0.166195
"leg of lamb"	0.152277
sausage	0.149843
"chicken breast"	0.149407
"corned beef"	0.145987
pork	0.144504
chop	0.141697
steak	0.141088
chicken	0.131379
rib	0.131159
"beef tenderloin"	0.131158
mutton	0.129799
salami	0.126139
"pork loin"	0.125163
pastrami	0.124887
"pot roast"	0.122981
veal	0.120809
venison	0.117369
bratwurst	0.11694
"pork tenderloin"	0.112388
bacon	0.112145
shank	0.110101
Loin	0.109486
potato	0.10905
sparerib	0.108976
lamb	0.10886
prosciutto	0.108643
beef	0.107522
cornbread	0.106708
spaghetti	0.106605
eggplant	0.106498
cutlet	0.105697
"cut of meat"	0.104409
meatball	0.103245
onion	0.100454
burgers	0.0998414
Chickpea	0.0960596
paella	0.0941031
Lasagna	0.0939698
dumpling	0.0938467
meat	0.0933042
scallop	0.0916875
chorizo	0.0913133
salmon	0.0907449
bean	0.0901479
macaroni	0.0899973
tenderloin	0.0891001
"chicken wing"	0.0885259
"tuna fish"	0.0875206
matzoh	0.0870478
polenta	0.0870108
"ground beef"	0.0868582
cabbage	0.0868531
"filet mignon"	0.0868431
pasta	0.0864105
sandwich	0.0861263
kebab	0.0859238
stew	0.0857622
lentil	0.0846124
"fresh fish"	0.0844522
"collard greens"	0.0843145
lobster	0.0842594
chilies	0.0842115
"macaroni and cheese"	0.0839594
veggie	0.0837404
Hamburger	0.0830101
barbecue	0.0829013
"smoked salmon"	0.0826017
seafood	0.0816672
Chili	0.0815669
shrimp	0.0814594
fajitas	0.0814463
Endive	0.081066
"foie gras"	0.0807735
cheese	0.0804262
artichoke	0.0803705
"sweet potato"	0.0803495
"potato salad"	0.0802214
"short ribs"	0.0802015
"chicken salad"	0.0798714
fruitcake	0.0796987
pancetta	0.0781365
Pudding	0.078094
carrot	0.0780881
"hot dog"	0.0780535
tomato	0.0778472
tuna	0.0777196
"raw meat"	0.0776641
salad	0.0775595
pie	0.0774583
fillet	0.0771502
asparagus	0.07707
"Swiss cheese"	0.0770269
mozzarella	0.0769361
slaw	0.076442
pickle	0.0764339
"root vegetable"	0.0760589
"scrambled egg"	0.0760199
"meat loaf"	0.0759727
biscuit	0.0757888
loaf	0.0757394
soup	0.0753138
crawfish	0.0750144
risotto	0.0749008
cheeseburger	0.0746608
"white rice"	0.0745746
"chocolate cake"	0.0742611
eel	0.074161
"bell pepper"	0.0740743
"black bean"	0.0737489
noodle	0.0737
cucumber	0.0735811
baguette	0.0735799
rind	0.0726039
hash	0.0724732
latke	0.0721045
bread	0.0718496
halibut	0.071546
beet	0.0706872
Catfish	0.07018
squash	0.0701262
marinade	0.069697
tortilla	0.0696591
"pumpkin pie"	0.0695764
zucchini	0.0693579
"brussels sprout"	0.068714
mussel	0.0684063
quail	0.068267
oyster	0.068168
taco	0.0680442
mushroom	0.0679587
quiche	0.067909
poultry	0.067868
Garlic	0.0676572
RHUBARB	0.0673055
pancake	0.0670887
gravy	0.0670156
brioche	0.0668641
kernel	0.066706
"rack of lamb"	0.0662712
breast	0.0660911
tofu	0.0656883
"orange peel"	0.0654343
Souffle	0.0653114
"cheddar cheese"	0.0651569
Broccoli	0.065077
confit	0.0649333
pizza	0.0645969
clam	0.0645677
"red onion"	0.0645196
shallot	0.0644533
muffin	0.0639882
scone	0.0639658
cantaloupe	0.0637635
radish	0.0637584
plantain	0.0636177
crab	0.0634643
"apple pie"	0.0633142
"water chestnut"	0.0629794
"green onion"	0.0628254
pineapple	0.0626282
pheasant	0.0621569
Tamale	0.0616194
ravioli	0.0616175
flan	0.0616042
scallion	0.0614785
"red bell pepper"	0.0614236
yam	0.0614092
sushi	0.0612748
"brown rice"	0.060893
spinach	0.0601495
hazelnut	0.0601448
"Caesar salad"	0.0600053
gratin	0.0599152
oatmeal	0.059665
"white bread"	0.0596626
pea	0.0596384
pretzel	0.059531
vertebrae	0.0589414
hotdog	0.0589367
grouper	0.0588882
marshmallow	0.0588125
cauliflower	0.058767
"French toast"	0.0587604
"chocolate chip cookie"	0.0584852
patty	0.0583261
"sea bass"	0.0583044
"red pepper"	0.0581472
sternum	0.0579703
bagel	0.0579197
gumbo	0.057776
leek	0.0577035
cod	0.0574077
porridge	0.0573403
tomatillo	0.0572592
shortcake	0.0569926
"French bread"	0.056632
"cold cuts"	0.0565798
))
(Brister (desc 3608.66) (sims
"Bubby Brister"	0.22089
Huard	0.137385
Brunell	0.132366
"Glenn Foley"	0.131701
Applewhite	0.125432
Flutie	0.122661
"Van Raaphorst"	0.120327
Elway	0.118987
Pederson	0.118662
Favre	0.118613
McCann	0.118351
DeBerg	0.11786
Kitna	0.117705
Mirer	0.116333
McNown	0.116053
Kanell	0.11526
Griese	0.114665
Paus	0.113226
"Neil O'Donnell"	0.111979
Testaverde	0.111298
Aikman	0.110067
Zolak	0.108927
"Van Exel"	0.107256
McCown	0.106504
Brady	0.106125
Mercker	0.10581
Marino	0.105025
Vick	0.104419
Skiles	0.103467
Candiotti	0.101534
Jagr	0.101476
"Vinny Testaverde"	0.101075
Guthridge	0.100602
"Warren Moon"	0.10035
Messier	0.0987275
Isringhausen	0.0978436
"Jeff Garcia"	0.0970483
Harbaugh	0.0965267
Donnan	0.0956175
Belcher	0.0955639
Woodard	0.095541
"Jon Kitna"	0.0952395
Garrett	0.0951631
Plummer	0.0949051
Bierhoff	0.0940336
Saberhagen	0.093863
Gagne	0.093723
Cunningham	0.0935218
"Trent Green"	0.0934147
Crenshaw	0.093084
Rambis	0.0928937
Wohlers	0.0925495
Lavin	0.092398
"Rick Mirer"	0.0923807
Weinke	0.0917997
Hershiser	0.0917423
Ripken	0.091496
Atler	0.0913849
Heinrichs	0.0913051
Billick	0.0905353
"Tony Graziani"	0.0901023
Dreifort	0.0899532
Passarella	0.0899228
Gooden	0.0899041
"Steve DeBerg"	0.0896797
Graziani	0.0891007
Schourek	0.0889239
Schmid	0.0884674
Gannon	0.0884451
Chandler	0.0883469
Elarton	0.088042
Brees	0.0878229
Foley	0.0872202
Summitt	0.0864189
Vogts	0.0863765
Baggio	0.0855914
Valdes	0.0855281
Swoopes	0.0853619
Jauron	0.0847834
Gomez	0.0846386
Erickson	0.0846188
Benitez	0.0840879
Hartsburg	0.0839346
Ainge	0.0837497
"Kerry Collins"	0.0836854
Stottlemyre	0.082797
"Jason Garrett"	0.0824945
Andreychuk	0.0824266
Ligtenberg	0.0821501
"Randall Cunningham"	0.0820879
Fiset	0.0820579
Dunleavy	0.0819914
"Gus Frerotte"	0.0819401
"Rob Johnson"	0.0817233
Appleby	0.081687
Kealy	0.0815982
beamer	0.0814375
Leyland	0.0814215
Lehane	0.081404
Beazley	0.0813288
Faulk	0.0810451
"Mike Van Raaphorst"	0.0809878
Nowitzki	0.0809027
Manning	0.0806394
Bibby	0.0806232
Herges	0.0804911
Ballmer	0.0803966
Surhoff	0.0803634
Remlinger	0.0803249
Fassero	0.0802857
Andretti	0.0799575
Nagy	0.0799487
Marinovich	0.0797374
O'Donnell	0.079578
"Marcus Outzen"	0.0792163
Alou	0.0789809
Lobo	0.0787962
Azizah	0.0786464
Medvedev	0.0786117
Mora	0.0784231
Hudek	0.0783825
Gretzky	0.078282
Smoltz	0.0782183
"Kent Graham"	0.0780339
Washburn	0.0779808
Fizer	0.0779774
Laudrup	0.0779681
Finley	0.0778636
"Ty Detmer"	0.0777681
Robson	0.0776636
Bledsoe	0.0775639
Culpepper	0.0774656
Johansson	0.0774547
"Damon Huard"	0.0774003
"Mark Brunell"	0.0773918
Halama	0.0773712
BENSON	0.0771718
Barkley	0.0771462
Parris	0.077084
Benes	0.0770744
Sehorn	0.0769126
Harnisch	0.076903
Henson	0.0768036
Peterson	0.0767805
Moyer	0.0765166
Fassel	0.0764252
Eldred	0.0763959
Leiter	0.0763338
Schoeneweis	0.0762155
O'Reilly	0.0762054
Mullin	0.0761803
Beilin	0.07616
Farris	0.0759853
Ceballos	0.075817
Perisho	0.0756111
Ankiel	0.0755392
Hebert	0.0753814
Olajuwon	0.0753664
Holtz	0.075314
McNabb	0.0752367
Moreno	0.0751946
Zanardi	0.0750773
McDOWELL	0.0749779
Ramon	0.0749062
Iverson	0.0748927
Schmidt	0.0748185
Barrie	0.0748035
"Van Roost"	0.0745363
Shula	0.0744189
"Doug Flutie"	0.0742826
Lafleur	0.0741151
Millwood	0.0740097
Bonilla	0.073877
Zambrano	0.0736875
Maradona	0.0735393
Schuessel	0.0734572
Valenzuela	0.0734233
Caminiti	0.0731907
Dierker	0.0731054
Meche	0.0730331
Lindros	0.0726278
Ftorek	0.0725856
Bowden	0.0725761
"Chris Weinke"	0.0725343
"Paul Justin"	0.0724426
Yarnall	0.0724399
Cota	0.072404
Khannouchi	0.0723934
Guillen	0.0723465
Arrojo	0.0722748
Solich	0.0721555
Pfeiffer	0.0719641
McGinest	0.0719377
D'Alessandro	0.0718866
Klinsmann	0.0718569
Outzen	0.0718042
Palmer	0.0717483
Biggio	0.0717482
Antley	0.0716793
Mendoza	0.0716001
))
(bristle (desc 2854.99) (sims
umbrage	0.0857556
porcupine	0.0674509
"fishing line"	0.056038
"putty knife"	0.0518861
supplicant	0.05174
eyelash	0.0510049
earpiece	0.0481073
wrister	0.0465975
turbot	0.0447993
keystroke	0.0445864
pouch	0.0445211
Neel	0.0439676
mallet	0.0438553
barbell	0.0435207
abrasion	0.0432186
"two pitchers"	0.0425049
"ransom money"	0.0413731
Costas	0.0413424
"conference table"	0.0412699
"packing material"	0.0409529
frill	0.0404779
comforter	0.0402599
prong	0.0402092
"steel wool"	0.0401977
barrette	0.0400189
))
(Bristol (desc 12988.5) (sims
Martinsville	0.19938
Daytona	0.143529
Darlington	0.139128
Talladega	0.125911
Rockingham	0.122492
Pocono	0.122213
Dover	0.116965
Irwindale	0.10853
Indy	0.100321
"Sears Point"	0.0984922
Pir	0.0971976
Fontana	0.094008
"Watkins Glen"	0.0896921
Richmond	0.0896256
Loudon	0.0892584
"Atlanta Motor Speedway"	0.0863165
NHIS	0.0842843
Charlotte	0.0841595
"Michigan Speedway"	0.0829104
Nazareth	0.0828194
Birmingham	0.0802864
Indianapolis	0.0801418
"Texas Motor Speedway"	0.0793873
Middletown	0.0792413
Salisbury	0.0785696
Memphis	0.0777139
Chattanooga	0.0776643
Stamford	0.0772972
Augusta	0.0770005
"Pikes Peak"	0.0750293
Morristown	0.0743722
Norwalk	0.074265
Jamestown	0.0740587
"Talladega Superspeedway"	0.0732921
Portsmouth	0.0729776
Caldera	0.0729036
Hillsboro	0.0722474
Manchester	0.0708161
"New Haven"	0.0690929
Greenville	0.0686921
Raleigh	0.0686522
Norfolk	0.0680931
Coventry	0.0674255
Danbury	0.0674218
Fairfield	0.0670072
Springfield	0.0667426
speedway	0.0666865
"Long Beach"	0.0666758
Intergraph	0.0662238
TM	0.0661733
"Paula Corbin Jones"	0.0653248
Providence	0.0653061
Nashville	0.0652489
Hartford	0.0652039
Westport	0.0643674
Cumberland	0.0642583
Bridgeport	0.0635841
"Daytona International Speedway"	0.0635085
Chester	0.0632977
"Las Vegas"	0.0631779
Columbus	0.0631476
Greenwich	0.0630013
"New Orleans"	0.0630006
"Garden City"	0.0629782
Leeds	0.0628924
Lancaster	0.0624347
"Crystal City"	0.0622721
Michigan	0.0621963
Falmouth	0.0621125
Tucson	0.0620945
Phoenix	0.0618675
Norwich	0.0617881
Somerset	0.0616173
Lynchburg	0.061302
Wallingford	0.0607749
"Pebble Beach"	0.0607374
Brickyard	0.0606115
Essex	0.0605873
Suzuka	0.060552
Silverstone	0.0605099
Bradford	0.0604994
"East Orange"	0.0604055
"Fort Lauderdale"	0.0601605
Warwick	0.0600878
"Le Mans"	0.0599203
Genentech	0.0597766
Surrey	0.0596538
Stratford	0.059302
"New Canaan"	0.0591196
Winchester	0.058987
Americus	0.05875
EEOC	0.0586651
Spokane	0.0586192
Carlsbad	0.0584635
"Hollywood Park"	0.0582922
"Fort Worth"	0.058056
Sonoma	0.0579973
riverside	0.0579585
midland	0.0579359
Madison	0.0579256
Wilmington	0.0577424
"West Palm Beach"	0.0574998
Knoxville	0.0574841
Cleveland	0.0573595
Portland	0.0573359
Barrington	0.0572179
Lexington	0.0571984
Orlando	0.0570161
Katzenberg	0.0569874
Bloomfield	0.0569669
Windsor	0.0568163
"Overland Park"	0.0567288
"Paula Jones"	0.0567071
Topeka	0.0565995
Tampa	0.0564681
Glendale	0.0564042
Pennsylvania	0.0560362
"San Diego"	0.0557774
Englewood	0.0557254
"Charlotte Motor Speedway"	0.0556656
homestead	0.0556584
"Indianapolis Motor Speedway"	0.0554967
"Palo Alto"	0.0554639
Louisville	0.0553114
Amgen	0.0552314
"Colorado Springs"	0.0551253
Braintree	0.0550737
Monza	0.0549145
Farmington	0.0548742
"J&AMP;J"	0.0548421
RIAA	0.0548172
Concord	0.0547512
E-LOAN	0.0546123
York	0.0546121
Marietta	0.0544674
Burlington	0.0544327
Yonkers	0.0543729
Winston-Salem	0.0542567
Cincinnati	0.0542506
"Kansas City"	0.0542388
Eappens	0.0542033
"San Antonio"	0.0540858
Bridgewater	0.0540187
Macon	0.0540118
"St. Louis"	0.0539543
Westchester	0.0538481
Philadelphia	0.0538264
Waterbury	0.0538001
Harris-Lewis	0.053603
Honolulu	0.053599
Minneapolis	0.053586
"Union City"	0.0535128
Suffolk	0.0534279
Wilton	0.0534183
Harrisburg	0.053413
"San Mateo"	0.053374
"Santa Monica"	0.053198
Cayugas	0.0531321
Glasgow	0.053088
Sussex	0.0530643
"Royal Birkdale"	0.0529643
"Red Hat"	0.0529393
"Manhattan Beach"	0.0529123
"El Segundo"	0.0528334
Toronto	0.0527229
"Churchill Downs"	0.052558
Eureka	0.0525291
Saratoga	0.052507
Cambridge	0.0524835
Pagones	0.0524637
Liverpool	0.052289
Northampton	0.0522735
Rochester	0.0520605
ACLU	0.0520151
Oxford	0.0516627
Smyrna	0.0516335
"Augusta National"	0.0515921
Montreal	0.0515881
"Round Rock"	0.0515496
"Santa Clara"	0.0514869
Boise	0.0514312
Conoco	0.0513986
"Las Vegas Motor Speedway"	0.0513646
Nextel	0.0513534
Columbia	0.0512087
Gloucester	0.0511922
Herndon	0.051171
Pfizer	0.0510446
"Baton Rouge"	0.0510303
"San Rafael"	0.051029
Jacksonville	0.0510245
"Bay Hill"	0.0510113
WebMD	0.0509941
Hanover	0.0509852
Framingham	0.0509837
Texaco	0.0509637
Fremont	0.0509053
Corel	0.050873
"St. Andrews"	0.0508693
Milwaukee	0.0508446
))
(Bristol-Myers (desc 2385.2) (sims
"Bristol-Myers Squibb"	0.188851
Pfizer	0.186174
Schering-Plough	0.183065
ENTREMED	0.177352
Warner-Lambert	0.168988
Immunex	0.16353
"J&AMP;J"	0.15813
"Johnson &AMP; Johnson"	0.156568
"Eli Lilly"	0.151341
"Sara Lee"	0.149544
Genentech	0.149516
Merck	0.144046
Chiron	0.142907
RJR	0.142761
MiniMed	0.142532
Glaxo	0.14128
Honeywell	0.140737
ALZA	0.139278
Lilly	0.1377
Novartis	0.136486
"American Home Products"	0.135734
UAL	0.135712
Genzyme	0.135653
"P&AMP;G"	0.135417
NORTHROP	0.134877
Monsanto	0.134593
TELLABS	0.134354
"Procter &AMP; Gamble"	0.133222
Biogen	0.132876
Weyerhaeuser	0.131966
Amgen	0.128749
Pepsico	0.128639
AMR	0.128552
"Niagara Mohawk"	0.127825
Dupont	0.127635
Sepracor	0.125768
"Philip Morris"	0.125502
AHP	0.125187
ExciteAtHome	0.12503
"Thermo Electron"	0.124556
NiSource	0.123036
SmithKline	0.122432
"Glaxo Wellcome"	0.121132
McKesson	0.119903
Wyeth-Ayerst	0.118874
Scientific-Atlanta	0.118219
Medtronic	0.117925
Pairgain	0.114415
Tenneco	0.114226
Unilever	0.112671
Daimler	0.112064
"Cox Communications"	0.111705
"International Paper"	0.111586
"U S West"	0.111131
GANNETT	0.110762
"Union Carbide"	0.109734
Cendant	0.10902
Emulex	0.107723
"National Grid"	0.107687
Maytag	0.106909
Avondale	0.10622
Starwood	0.105876
Humana	0.105687
VENATOR	0.105571
Chevron	0.105514
CSX	0.105466
Alcoa	0.104566
Raytheon	0.10454
Pharmacia	0.103494
Lockheed	0.103374
TYCO	0.103146
REVLON	0.102068
"HBO &AMP; Co."	0.101684
"Levi Strauss &AMP; Co."	0.101441
Aetna	0.101203
SkyTel	0.101104
Penney	0.101017
"Exxon Mobil"	0.100911
Pitney	0.100794
"Con Edison"	0.100519
NatWest	0.100331
"Con Ed"	0.10028
Providian	0.100126
Broadcast.com	0.100074
Novell	0.0997792
"News Corp."	0.0994834
Georgia-Pacific	0.0994815
"Texas Instruments"	0.0994087
GTE	0.0992733
AIG	0.0990689
Hasbro	0.0986918
"American Home"	0.0985752
AutoNation	0.0984585
Checkfree	0.0984366
Xerox	0.0983603
WorldCom	0.0983178
MCI	0.0981944
Agilent	0.0977966
Bestfoods	0.0973552
"Stride Rite"	0.0973381
"Ford Motor"	0.0973146
"R.J Reynolds"	0.097295
"UAL Corp."	0.0972011
"RJR Nabisco"	0.0968789
BellSouth	0.0968761
"Nippon Credit"	0.0967356
"United Technologies"	0.0965704
Ciena	0.0959622
Roche	0.0959187
Gillette	0.0958586
Litton	0.0955414
Qualcomm	0.0954852
"American Express"	0.0951092
E-LOAN	0.0950499
Astra	0.0945516
"State Street"	0.0945167
Compaq	0.0944014
"True North"	0.0936886
"Knight Ridder"	0.0933923
Zeneca	0.0933568
"Adobe Systems"	0.0932029
"Dow Chemical"	0.0931132
"Learning Co."	0.0928906
Nabisco	0.0928888
Hewlett-Packard	0.0926555
"Ford Motor Company"	0.0926084
CCE	0.0922961
Hoechst	0.0922147
"MCI WorldCom"	0.0921677
"Times Co."	0.0915364
IBM	0.0914724
"Waste Management"	0.0912931
Warnaco	0.0909968
Anheuser-Busch	0.0908965
Ameritech	0.0902692
Nortel	0.0902642
UTC	0.0897433
"Eastman Kodak"	0.089731
Coca-Cola	0.0894291
Mobil	0.0889373
Vivendi	0.0888553
AmeriTrade	0.0888175
"Sprint PCS"	0.0886225
Alltel	0.0883548
Searle	0.0882725
Citigroup	0.0877575
Sunbeam	0.0875456
HP	0.0873323
Livent	0.0870875
"Gap Inc."	0.0870496
"Phelps Dodge"	0.0868798
XYLAN	0.0868405
Texaco	0.0866779
"Bank of Scotland"	0.0866261
"HSBC Holdings"	0.0865321
Cisco	0.0864934
Reebok	0.0858199
"Dell Computer"	0.0857112
USTA	0.0857111
TCI	0.0856899
RAMBUS	0.0854056
"Chase Manhattan"	0.0852866
Broderbund	0.0852308
Mattel	0.0848456
"Hewlett-Packard Co."	0.0848131
"Housing Authority"	0.0846936
"Rite Aid"	0.0846904
"KCP&AMP;L"	0.0846894
ENTERGY	0.0846201
"New York Times Co."	0.084557
CCA	0.0844622
Verizon	0.0844334
YankeeNets	0.0842469
"U.S. Trust"	0.0842247
"Southern Co."	0.0839364
Delphi	0.0839324
Amway	0.0838923
"Boston Scientific"	0.0837738
Kodak	0.0836741
"Computer Associates"	0.0836346
"Pac Bell"	0.0833959
"General Electric"	0.0833668
Halliburton	0.0827929
"Oracle Corp."	0.0827865
FPL	0.0827815
"Bell Atlantic"	0.0826959
EMC	0.082634
"Air Canada"	0.0825788
Clorox	0.0825574
HSBC	0.0821578
Healtheon	0.0820666
Viacom	0.0819971
Seagram	0.0818819
"British Telecom"	0.0817864
HBOC	0.0815402
Exxon	0.081521
Telefonica	0.0814522
DaimlerChrysler	0.0813447
PEOPLESOFT	0.0812724
WPP	0.0812257
))
("Bristol-Myers Squibb" (desc 4689.81) (sims
"Glaxo Wellcome"	0.234481
Schering-Plough	0.228066
"Eli Lilly"	0.227306
Pfizer	0.218728
"American Home Products"	0.216034
"SmithKline Beecham"	0.212767
"Johnson &AMP; Johnson"	0.209309
Merck	0.20485
Warner-Lambert	0.198581
Bristol-Myers	0.188851
Novartis	0.179412
AstraZeneca	0.17291
Monsanto	0.154933
Roche	0.152984
Wyeth-Ayerst	0.147745
"General Electric"	0.146082
Pepsico	0.142342
"Pfizer Inc."	0.139894
"American Home"	0.138098
"R.J Reynolds"	0.137518
"Procter &AMP; Gamble"	0.137292
Amgen	0.134372
"Warner-Lambert Co."	0.134324
"United Technologies"	0.134094
"Pharmacia &AMP; Upjohn"	0.133655
Astra	0.129114
"American Home Products Corp."	0.128433
Dupont	0.127314
Searle	0.125923
Unilever	0.125075
"Abbott Laboratories"	0.124801
"Philip Morris"	0.122605
"Micron Technology"	0.117605
Genentech	0.112973
"Eli Lilly &AMP; Co."	0.112137
"Applied Materials"	0.109027
Zeneca	0.108892
"Exxon Mobil"	0.106733
"AMR Corp."	0.105768
"Philip Morris Cos."	0.104841
"JDS Uniphase"	0.104029
"Gap Inc."	0.103146
"American Express"	0.102575
"Lucent Technologies"	0.10119
Citigroup	0.101152
Honeywell	0.100522
Hoechst	0.0988158
Qualcomm	0.0975763
"Cisco Systems Inc."	0.0971033
"Eastman Kodak"	0.0967471
"Sara Lee"	0.0961853
"Union Carbide"	0.0956173
"Network Associates"	0.0943698
Chevron	0.0943205
IBM	0.0938592
"Wyeth-Ayerst Laboratories"	0.0937473
"Federated Department Stores"	0.0934105
UNOCAL	0.093031
"General Motors"	0.0928993
"Motorola Inc."	0.092855
Pharmacia	0.091959
Ericsson	0.0915672
Exxon	0.0909463
Lilly	0.0908097
Alcoa	0.0907174
Unisys	0.0902063
"Oracle Corp."	0.0898599
"International Business Machines Corp."	0.0898344
Nestle	0.0887224
"Bausch &AMP; Lomb"	0.0882195
"News Corp."	0.0879109
"Qualcomm Inc."	0.0874669
"Merck &AMP; Co."	0.0873856
"Atlantic Richfield"	0.0868139
"Brown &AMP; Williamson Tobacco Corp."	0.0867482
Hewlett-Packard	0.0866401
"Cendant Corp."	0.0865624
Emulex	0.0861792
Coca-Cola	0.0860042
Genzyme	0.0856184
Gillette	0.0850748
"Intel Corp."	0.0849604
Bayer	0.0846935
"Wal-Mart Stores"	0.0844773
"Sony Corp."	0.0841441
Motorola	0.0837779
"Compaq Computer"	0.0832796
"Monsanto Co."	0.083279
Rhone-Poulenc	0.0830869
"Boeing Co."	0.0828113
"American International Group"	0.0826959
"Boeing company"	0.0817393
"Advanced Micro Devices"	0.0817128
"General Electric Co."	0.0805978
ENTREMED	0.0804659
"Lockheed Martin Corp."	0.0802008
"RJR Nabisco"	0.0800226
"J.P. Morgan"	0.0798038
Aventis	0.0794145
"Lockheed Martin"	0.0790148
"Viacom Inc."	0.0787292
"Walt Disney"	0.0777978
"Chevron Corp."	0.0776691
"Northern Telecom"	0.0775559
"Time Warner Inc."	0.0773257
Diageo	0.0773251
"Learning Co."	0.0769615
"Levi Strauss"	0.0767275
Glaxo	0.0766999
"Hyundai Group"	0.0766074
"HSBC Holdings"	0.0765354
Bestfoods	0.0764318
AMR	0.0763128
"R.J Reynolds Tobacco Co."	0.0760347
Nokia	0.0760289
Siemens	0.0755611
"Brown &AMP; Williamson"	0.0754529
"Procter &AMP; Gamble Co."	0.0750067
AHP	0.0745333
Texaco	0.0743041
"Seagram Co."	0.0741793
"Dell Computer Corp."	0.0741504
"CMGI Inc."	0.0739653
Caterpillar	0.0738944
Halliburton	0.073778
"Delta Air Lines"	0.0737139
"Hughes Electronics"	0.0735031
"Allied Signal"	0.073499
Schering	0.0734488
"Ford Motor Co."	0.0734387
"Coca-Cola Co."	0.0733523
"Royal Dutch/Shell"	0.0731478
"NEC Corp."	0.0729927
"McDonnell Douglas"	0.0727864
Corning	0.0726619
Conoco	0.0726117
Alcatel	0.0721729
"Compaq Computer Corp."	0.0720061
"Smith &AMP; Wesson"	0.0719994
Corel	0.0712695
SmithKline	0.071174
UAL	0.0708917
"International Paper"	0.070812
Schlumberger	0.0706591
"Texas Instruments"	0.0704656
"Legend Group"	0.0704243
Anheuser-Busch	0.0704006
Hasbro	0.0703733
"J&AMP;J"	0.0703657
"National Semiconductor"	0.0703555
"Sprint Corp."	0.0702355
"Walt Disney Co."	0.0701478
Xerox	0.0700533
Abbott	0.0697753
"Volvo AB"	0.069103
"British Telecom"	0.0688783
"Cisco Systems"	0.0688297
"SBC Communications Inc."	0.068791
"Nippon Telegraph"	0.0687667
"Berkshire Hathaway"	0.0686793
"Softbank Corp."	0.068401
ALZA	0.0683285
Raytheon	0.0682686
"Knight Ridder"	0.0681889
"MCI WorldCom"	0.0679939
"Sun Microsystems"	0.0677141
"Lucent Technologies Inc."	0.0676887
"Siemens AG"	0.0676832
"Microsoft Corp."	0.0674324
"Pepsico Inc."	0.0672241
"Pratt &AMP; Whitney"	0.0672053
Intel	0.0670549
Citibank	0.0669521
"Main Events"	0.06679
"Citigroup Inc."	0.0667612
"Dell Computer"	0.0666069
"Hitachi Ltd."	0.0664227
"Daimlerchrysler AG"	0.06635
ARCO	0.0662593
"Bank of America"	0.0660208
Immunex	0.0659985
Compaq	0.0658849
"Computer Associates"	0.0657664
WorldCom	0.0657416
"SBC Communications"	0.0657401
Westinghouse	0.0657324
"Liberty Media"	0.0654008
"Times Co."	0.0653938
"Federal Express"	0.0652863
Federated	0.0652507
DoubleClick	0.0650791
BHP	0.0650651
DaimlerChrysler	0.064873
"Dow Jones &AMP; Co."	0.0648485
Lucent	0.0646418
AMP	0.064639
"Global Crossing"	0.0644038
E-LOAN	0.0643436
"Time Warner"	0.0641418
"UAL Corp."	0.0637018
))
(Brit (desc 7676.04) (sims
Englishman	0.0905689
Briton	0.0766217
Norwegian	0.074854
Londoner	0.0728663
Englishmen	0.0718736
malcontent	0.0692623
nobleman	0.0688839
Panamanian	0.0685056
Hungarian	0.0681065
Minnesotan	0.0679469
Texan	0.0658886
Dane	0.0657095
Parisian	0.065204
Bostonian	0.0650536
"little leaguer"	0.0649138
Spaniard	0.0633902
Finn	0.0629015
Swiss	0.0625123
Frenchmen	0.062452
bloke	0.0620612
Belgian	0.0616928
Bostonians	0.0613143
Austrian	0.0612671
"New Zealander"	0.0600186
"New Englander"	0.0597022
pimpernel	0.0595837
Irishman	0.0592331
"Yankee Clipper"	0.0586586
Californian	0.0583188
Floridian	0.0574967
Frenchman	0.0559867
Englishwoman	0.055753
"New Jerseyans"	0.0556537
Brazilian	0.0549744
Bulgarian	0.0548165
"beer drinker"	0.0539975
lad	0.0534638
Irish	0.0532344
Ohioan	0.0531634
Jamaican	0.0531474
"wise guy"	0.05301
Lithuanians	0.0526778
"naval officer"	0.0523635
"New Yorker"	0.0522775
thespian	0.051388
suburbanite	0.0510861
chap	0.0509766
Swede	0.0499346
Aussie	0.0492941
Virginian	0.0492552
"North Carolinian"	0.0490226
has-been	0.049015
flamethrower	0.0489668
Navajos	0.0482821
slacker	0.0481768
eccentric	0.0478266
curmudgeon	0.0477422
overachiever	0.0477034
Lothario	0.0476608
courtesan	0.0472148
Argentine	0.0470289
crewmembers	0.0467739
slob	0.0467733
Missourian	0.0466374
Washingtonian	0.0466116
twit	0.0465927
Czech	0.046523
Pol	0.0463198
Georgian	0.0462725
Dominican	0.0462011
squire	0.045987
Southerner	0.0459868
cinematographer	0.0459312
divorcee	0.0458199
Atlantans	0.045725
Iowan	0.0456084
"Allied Pilots Association"	0.0456067
"Anakin Skywalker"	0.0453224
"character actor"	0.0452271
housewife	0.0450623
jock	0.0448412
Turk	0.0447649
Irishmen	0.0447242
"white man"	0.0447237
"first pitcher"	0.0446781
Arizonan	0.0445876
schoolboy	0.0445025
yuppie	0.0442826
Vietnamese	0.0442808
Colombian	0.0442423
transient	0.0442397
Chilean	0.044156
Scot	0.0440314
golfer	0.0440312
"tough guy"	0.0433267
gentleman	0.0430399
troubadour	0.0429883
Afrikaner	0.0429251
Vermonter	0.0428579
"smart aleck"	0.0427857
"hockey player"	0.0427662
multimillionaires	0.0425424
Ukrainians	0.042351
"hotel manager"	0.042342
"young person"	0.0423346
Yugoslavian	0.0423064
Romanian	0.0422883
"South Carolinian"	0.0422226
billionaire	0.0420667
poodle	0.0420172
Venezuelan	0.0419249
geezer	0.0419005
castaway	0.041878
tribesman	0.0418659
clown	0.0417568
genius	0.0416933
adventurer	0.0416527
cosmonaut	0.0415585
Honduran	0.0415288
"altar boy"	0.0414416
"church member"	0.0414299
Kansan	0.0414172
collegian	0.0413789
Guatemalan	0.0412815
Houdini	0.0412432
"leading man"	0.0411933
"movie star"	0.0411657
grown-up	0.0411398
"enlisted man"	0.040723
"test pilot"	0.0406596
innkeeper	0.0404415
Seaman	0.0402976
brat	0.0402545
mobster	0.0402022
rascal	0.0401323
))
(Britain (desc 169765) (sims
Germany	0.223637
France	0.220648
"United States"	0.220573
Japan	0.217503
Canada	0.20547
Australia	0.202337
Italy	0.201163
Russia	0.196707
"South Africa"	0.195415
China	0.183206
England	0.181731
Poland	0.181679
India	0.179873
Thailand	0.178878
Spain	0.178751
Switzerland	0.178738
"Great Britain"	0.178063
Egypt	0.178015
Greece	0.17675
"United Kingdom"	0.176249
"South Korea"	0.174031
Mexico	0.17386
Israel	0.173802
Malaysia	0.171839
Iran	0.170153
country	0.167655
"Saudi Arabia"	0.167325
Finland	0.166814
Austria	0.166763
Portugal	0.166421
Netherlands	0.166205
Hungary	0.164585
Turkey	0.163591
Belgium	0.163102
Europe	0.163017
Sweden	0.161466
Brazil	0.161287
Singapore	0.160517
Indonesia	0.15937
Romania	0.158389
Pakistan	0.15791
Argentina	0.157274
"New Zealand"	0.157166
Norway	0.156342
Ukraine	0.155362
Denmark	0.153294
Nigeria	0.150985
Cuba	0.150899
Bulgaria	0.149497
Kenya	0.148927
Ireland	0.148153
"Hong Kong"	0.145879
UK	0.14548
U.S.	0.139475
Syria	0.137386
Zimbabwe	0.136002
Ethiopia	0.134954
Kuwait	0.133862
Vietnam	0.133643
"European country"	0.132845
Philippines	0.1324
America	0.132344
Chile	0.13164
nation	0.130311
Peru	0.13001
Iraq	0.129765
Colombia	0.129571
Libya	0.128513
Bangladesh	0.128413
Uganda	0.127318
Venezuela	0.126532
Taiwan	0.125978
Croatia	0.12555
Algeria	0.125508
LONDON	0.12386
Zambia	0.1236
Yugoslavia	0.1233
Jordan	0.123036
Tanzania	0.122956
"Sri Lanka"	0.120377
Luxembourg	0.120273
Scotland	0.119741
EU	0.119231
Panama	0.118036
"European Union"	0.116003
"Czech Republic"	0.115723
Cambodia	0.115063
Iceland	0.114889
Kazakhstan	0.114674
Slovenia	0.114193
Lebanon	0.114121
state	0.113381
Moscow	0.113332
"North Korea"	0.113313
Morocco	0.11291
Asia	0.111939
Africa	0.111445
BEIJING	0.111403
Myanmar	0.110815
Sudan	0.110349
Angola	0.109725
Tunisia	0.109106
Qatar	0.10857
"Soviet Union"	0.108072
Bahrain	0.107522
Mongolia	0.107477
"Republic of Korea"	0.107468
Ecuador	0.107281
"African country"	0.107243
Lithuania	0.10721
Belarus	0.107188
Nepal	0.10669
Latvia	0.106656
Slovakia	0.106492
Brunei	0.106384
Washington	0.106383
Cyprus	0.106379
Oman	0.105888
Uruguay	0.105502
"Asian country"	0.104863
California	0.104416
Albania	0.104363
Mozambique	0.10394
"Costa Rica"	0.103766
Uzbekistan	0.103094
Namibia	0.102941
"The Netherlands"	0.102935
"United Arab Emirates"	0.102365
Ghana	0.102112
"Latin America"	0.101386
"New York"	0.10108
region	0.100915
Korea	0.0995359
Estonia	0.0994511
government	0.0991927
Shanghai	0.0982552
mainland	0.0977061
Botswana	0.097409
UAE	0.0970826
Holland	0.0962458
Armenia	0.0961554
Rwanda	0.0960179
"North America"	0.0957827
Nicaragua	0.0951557
Jamaica	0.0943324
"Puerto Rico"	0.0926112
Republic	0.0921793
NATO	0.0921203
Serbia	0.0913037
Guatemala	0.0911716
Georgia	0.0911568
Yemen	0.091046
Macao	0.0905736
city	0.0903523
ROK	0.0897875
Fiji	0.0893141
Senegal	0.089305
province	0.0892989
Baghdad	0.0887848
"Middle East"	0.0886292
Eritrea	0.0882842
"Dominican Republic"	0.0876709
Paris	0.0875811
Afghanistan	0.087573
"New York City"	0.0874071
Bolivia	0.0867766
"Northern Ireland"	0.0857841
Azerbaijan	0.0856918
Malta	0.0855307
Macedonia	0.0852799
BELGRADE	0.0852501
DPRK	0.0852414
Laos	0.0852355
"Asian nation"	0.0851397
Tehran	0.0848678
world	0.0846863
Honduras	0.0845951
Moldova	0.0842308
"United Nations"	0.0835625
"European nation"	0.0835595
"Western Europe"	0.083248
community	0.0824351
Texas	0.0819039
"Papua New Guinea"	0.081878
Bosnia	0.0818153
Kingdom	0.08134
Mauritius	0.0804003
Haiti	0.0796867
administration	0.0796844
British	0.0795699
Paraguay	0.0793397
"South America"	0.0790194
Wales	0.078669
"Southeast Asia"	0.0782826
Rome	0.0781825
Tokyo	0.0781222
Congress	0.0777496
military	0.0776625
industry	0.077539
"New Jersey"	0.0768573
))
(Britannia (desc 1913.42) (sims
Highness	0.0973608
"Luna Rossa"	0.0857357
Fila	0.0832826
Briscoe	0.0826136
"Bengal tiger"	0.0781431
Sayonara	0.0756919
"garden party"	0.0660729
Bosman	0.0576572
turbot	0.0571229
Steamship	0.0559281
Sequoia	0.0547581
"US Supreme Court"	0.0516024
yachtsman	0.0501008
"Winston Churchill"	0.0496674
SIESTA	0.0496491
crematorium	0.0495653
Roost	0.0490689
zeppelin	0.0489955
"army engineer"	0.0486379
Soldini	0.0485491
Fossett	0.0482006
"luxury liner"	0.048051
"au pair"	0.0468772
J.	0.0465142
Rhodesia	0.0464634
slicker	0.0456008
Bogle	0.0447853
"A.P Indy"	0.0446622
"little leaguer"	0.044447
pinata	0.0444012
"Windy City"	0.0442039
Autissier	0.0438166
"Frank Bruno"	0.0437002
Shackleton	0.0430534
Feerick	0.0429614
"leading lady"	0.0428528
"Franz Beckenbauer"	0.0425813
battleship	0.042549
astrologer	0.0424762
Mayflower	0.0421164
commode	0.0419898
"European Court of Human Rights"	0.0416565
Christmases	0.0415938
kayaker	0.0413876
Trudeau	0.0409777
"naval officer"	0.0409526
minesweeper	0.0406078
"Love Boat"	0.0402986
hovercraft	0.0401179
"foreign service officer"	0.0400659
oxen	0.0400081
))
(Britannica (desc 1280.64) (sims
E-Stamp	0.105205
audubon	0.0884142
NCI	0.0881065
"College Board"	0.085699
Broderbund	0.083546
"U.S. Treasury Department"	0.0817126
JAMA	0.0805851
NHTSA	0.0793652
EOHR	0.0771744
Bristol-Myers	0.076245
emulator	0.0745483
CCF	0.0695204
JetBlue	0.0693274
BSA	0.0689507
Honeywell	0.0677434
"National Enquirer"	0.0669968
Inquirer	0.0668963
"New England Journal"	0.0664567
Quicktime	0.0661941
Genzyme	0.0660672
Furniture.com	0.0656168
SETI	0.0643667
Soma	0.063161
DFG	0.0627507
Talebi	0.0621964
ALZA	0.0616812
"Times Co."	0.0616584
"U.S. Agriculture Department"	0.0614394
"Oxford University Press"	0.060581
Cosmo	0.0603441
Gnutella	0.0602049
videophone	0.0601491
"Niagara Mohawk"	0.0597218
Tsvangirai	0.0588107
egghead	0.0586671
SDMI	0.0585072
Lego	0.0583424
Scripps	0.0570424
DEP	0.0568857
Netcom	0.0568233
NTT	0.0567933
Peapod	0.0567727
"Liquid Audio"	0.056495
"Bank of Israel"	0.0562909
OED	0.0562449
MLB	0.0556551
Zuckerman	0.0553905
EarthLink	0.0551147
ZDTV	0.0550365
"Health and Welfare Ministry"	0.0544585
Pairgain	0.0543638
Amway	0.0543557
CitySearch	0.0543363
Marketspan	0.054187
"National Highway Traffic Safety Administration"	0.0538639
"Charles Schwab &AMP; Co."	0.0538209
F.A	0.0534036
CBO	0.0531741
DMA	0.0531414
Enquirer	0.0528444
HDTV	0.0526309
Collymore	0.0525706
"CBS SportsLine"	0.0524142
PBSI	0.0523248
Fairchild	0.0523237
MPAA	0.0522979
Sahnoun	0.0521745
CSA	0.0521556
ICQ	0.0520641
shareware	0.0518728
SDPC	0.0518543
Novell	0.0517286
"Census Bureau"	0.0517162
DoubleClick	0.0516354
RNC	0.0515065
intranet	0.0512847
AutoNation	0.051079
"Sdn Bhd"	0.0507711
MTA	0.0507687
Sanyo	0.0503283
NTRA	0.0502815
"Van Sant"	0.0502691
"National Post"	0.0502502
"Health Care Financing Administration"	0.0502229
MGH	0.0501248
Genentech	0.0501145
"P&AMP;G"	0.0501117
UPI	0.0500986
Milken	0.0500977
"Home Ministry"	0.0500834
"line of products"	0.0498752
Montiel	0.0496785
"Red Hat"	0.0494615
Tous	0.0493872
freebie	0.0493042
"Bell Labs"	0.0492746
Arianespace	0.0492597
"Consumers Union"	0.0492435
Gymboree	0.0489878
Mott	0.0487917
"T Wireless"	0.0487855
CNET	0.0487653
"Health and Human Services Department"	0.0486909
MSF	0.048675
WebMD	0.0486616
"Modern Library"	0.0484957
"Bank of Canada"	0.0484883
Boorman	0.0484306
UC	0.0484217
"Weather Channel"	0.0483973
Brewster	0.0483451
SUNY	0.0482678
"National Cancer Institute"	0.0479595
CPSC	0.0479564
Pyle	0.0478084
TDB	0.0476944
Media-MOST	0.0476032
"Emilio Bombay"	0.0474188
Forrester	0.0473456
NiSource	0.0473326
RJR	0.0472766
IRC	0.047231
hodgson	0.0472113
"computer hardware"	0.0471248
OS/@	0.0471208
CNTA	0.0469065
drudge	0.0468871
"Israeli Foreign Ministry"	0.0466605
USEC	0.046628
"New Republic"	0.0465268
Post-Intelligencer	0.0464756
RealNetworks	0.0464562
Speer	0.0464436
Drugstore.com	0.0464417
CDB	0.0464264
Krugman	0.0463027
RCMP	0.0461787
Omnipoint	0.0461346
"Sharper Image"	0.0461233
"business enterprise"	0.0460703
Esposito	0.0460514
Raducan	0.0459005
"Dolce &AMP; Gabbana"	0.045894
CompuServe	0.0458476
"Time Inc."	0.045838
"Defense Agency"	0.0457395
Hearn	0.0457255
"Chronicle Books"	0.0454881
HKTA	0.0454745
Pharmacia	0.0454197
Orion	0.0452197
McDonnell	0.0452192
CNN/SI	0.0451251
Scientific-Atlanta	0.0451102
Dunston	0.0449795
Win@@	0.0449517
Neff	0.0449296
McGowan	0.0449008
Pitney	0.0448496
IGC	0.0447442
Daiwa	0.044683
Broadcast.com	0.0444037
TKT	0.0443528
"Mobil Corp."	0.0443111
Conde	0.0442882
"Medicare HMOs"	0.0442672
IEA	0.0442574
"Consumer Reports"	0.0441553
Claes	0.0441547
AmeriTrade	0.0440913
Manheim	0.044064
visualization	0.0440543
"Department of Motor Vehicles"	0.0439843
SGI	0.0439658
"Miller Park"	0.0439441
"Reform Judaism"	0.0438182
"transit authority"	0.0437358
Rene	0.0437063
"Southwestern Bell"	0.0436767
Williams-Sonoma	0.0436575
"Baylor College of Medicine"	0.0436024
Transamerica	0.0435885
Travelocity	0.0434609
AMC	0.0433918
Mayflower	0.0432999
Mendes	0.0431924
"Cliffs Notes"	0.0431506
Unix	0.0430924
Transmeta	0.0430765
BNFL	0.0430321
Konka	0.0429751
"Free Press"	0.0427695
Caldor	0.0427032
"Humane Society"	0.0426837
All-Tech	0.0426772
Symantec	0.0426398
"color television"	0.0426371
Jacquet	0.0426125
CFTC	0.0425822
"Playstation @"	0.0425398
))
(British (desc 59408.6) (sims
German	0.139992
French	0.132968
Japanese	0.130991
Russian	0.126885
Italian	0.1173
European	0.11366
American	0.112703
Canadian	0.111345
Chinese	0.110602
Israeli	0.109409
U.S.	0.107971
Swiss	0.107367
Belgian	0.105809
Iraqi	0.102024
Australian	0.100926
Iranian	0.100639
Briton	0.100489
troop	0.10029
Portuguese	0.0985634
Dutch	0.0982023
government	0.0979778
Egyptian	0.0969059
Thai	0.0949835
Turkish	0.093922
Syrian	0.0928899
Vietnamese	0.0923364
Austrian	0.092258
Norwegian	0.0917371
Brazilian	0.0912935
Bulgarian	0.0912666
Palestinian	0.0912357
"South African"	0.08831
Yugoslav	0.0874756
Mexican	0.087029
Greek	0.0862019
rebel	0.0858857
Lebanese	0.0858856
Serbs	0.085591
Hungarian	0.0855242
soldier	0.0853249
force	0.0848466
Indonesian	0.0847669
Turk	0.0843238
Nazi	0.0838968
guerrilla	0.083817
Malaysian	0.0837148
Filipino	0.0834367
Romanian	0.0824945
military	0.0820327
U.N.	0.0819621
army	0.0817815
authority	0.0814502
Albanian	0.0814116
official	0.0810482
Irish	0.0809662
Indian	0.0808709
Jordanian	0.0803617
Britain	0.0795699
peacekeeper	0.0795471
diplomat	0.0792902
Arab	0.0791652
"United States"	0.0789587
foreigner	0.0788906
Taliban	0.0787174
Spanish	0.078336
police	0.0781707
militia	0.0781373
leader	0.0773034
Pakistani	0.0770085
"New Zealander"	0.0769438
Swedish	0.0767264
Saudi	0.0762488
NATO	0.0762366
ally	0.0758539
Israel	0.0758428
warplanes	0.07583
Kuwaiti	0.0758244
businessmen	0.0757559
national	0.0747491
Angolan	0.0735534
Finnish	0.0728324
Colombian	0.0723437
Nigerian	0.0718992
African	0.0717517
President	0.0715714
Serb	0.0715011
Argentine	0.0711802
militant	0.070341
citizen	0.0701113
Jew	0.0700201
Spaniard	0.0699979
navy	0.0698458
Cuban	0.069615
"Air Force"	0.0693735
Kenyan	0.0689467
warship	0.0689206
Korean	0.0687087
Asian	0.0686811
fighter	0.0686226
"federal government"	0.0683604
Ukrainian	0.0679299
member	0.0677179
Soviets	0.0676421
minister	0.0674629
Milosevic	0.0667544
"security force"	0.0667032
Republican	0.066144
"South Korean"	0.0661022
settler	0.0657808
party	0.0657758
"United Nations"	0.0656662
faction	0.0653554
English	0.0652608
scientist	0.0652473
Ethiopian	0.0646379
Greeks	0.0643255
administration	0.0642639
Ukrainians	0.0641843
"military officer"	0.0641366
Eritrean	0.0639262
marine	0.0638719
"Tony Blair"	0.063669
journalist	0.0634805
Communist	0.0632494
Libyan	0.0631865
regime	0.0631762
"Kofi Annan"	0.063064
politician	0.0628838
lawmaker	0.0628747
Sudanese	0.0621634
Chilean	0.0620776
Danish	0.0619443
"European Union"	0.0614829
resident	0.0614696
policemen	0.0614089
invader	0.0613567
airline	0.061342
local	0.0613245
envoy	0.0612189
ruler	0.0611627
us	0.0610702
negotiator	0.0610306
Arafat	0.0610283
civilian	0.0609386
junta	0.0608702
KLA	0.0607646
"South Koreans"	0.0607554
Singaporean	0.0606595
Rwandan	0.0606506
Netanyahu	0.0605985
investor	0.0604499
"foreign minister"	0.0603547
Bangladeshi	0.0603098
"secretary of state"	0.0602907
Czech	0.060144
Namibian	0.0600205
tourist	0.0598387
observer	0.0598107
Georgian	0.0596748
Zimbabwean	0.0596651
Democrat	0.0595864
ECOMOG	0.0595143
officer	0.05938
"Atal Bihari Vajpayee"	0.0593657
Swede	0.0592786
activist	0.0592593
Yemeni	0.0591541
Russia	0.0591529
prosecutor	0.0590294
westerner	0.0588555
China	0.0588237
pilot	0.0588155
Kabila	0.0588103
"political party"	0.0587171
worker	0.0586712
leadership	0.0586428
nation	0.0585915
Scots	0.0584493
Nepalese	0.0583926
nationalist	0.0580159
Congolese	0.0580066
opposition	0.0579276
doctor	0.0579224
"political leader"	0.0578763
protester	0.0578477
expert	0.0578297
Clinton	0.0578153
aircraft	0.057806
"military force"	0.057788
Cypriot	0.0576624
"King Hussein"	0.0576597
"armed forces"	0.0575975
"army officer"	0.0575549
colonialist	0.0575238
Mozambican	0.0575226
side	0.0575159
embassy	0.0574728
firefighters	0.0573175
Taiwanese	0.0571469
Iraq	0.0570795
))
("British Aerospace" (desc 5471.27) (sims
Dasa	0.278839
Aerospatiale	0.204469
Lagardere	0.164482
casa	0.144086
Bae	0.141711
"Aerospatiale Matra"	0.138129
"Lockheed Martin"	0.133228
"McDonnell Douglas"	0.132517
Daimler-Benz	0.122919
"France Telecom"	0.121513
"National Grid"	0.119779
Lockheed	0.119024
"American Home Products"	0.112835
TYCO	0.11253
Qwest	0.111283
Litton	0.110578
KLM	0.108727
"BP Amoco"	0.107656
ALZA	0.107008
"Deutsche Telekom"	0.105928
Exxon	0.105386
Alcatel	0.105301
"Boston Scientific"	0.104884
"U S West"	0.104884
Raytheon	0.103984
McKesson	0.10313
Warner-Lambert	0.100791
"Deutsche Bank AG"	0.100733
WPP	0.100697
BankAmerica	0.100595
"U.S. Trust"	0.100374
WorldCom	0.100355
RJR	0.100351
Vivendi	0.0995553
Bertelsmann	0.0995038
Norwest	0.0990347
"United Technologies"	0.098503
"Glaxo Wellcome"	0.0981938
"Airbus Industrie"	0.098043
"Hughes Electronics"	0.0979351
Vodafone	0.0977822
Telefonica	0.0974531
Healtheon	0.0968833
Cendant	0.0963598
"Phelps Dodge"	0.0962343
Volvo	0.0961396
"Ford Motor"	0.0960381
"Global Crossing"	0.0958265
"Deutsche Bank"	0.0953316
Monsanto	0.0951045
COLTEC	0.094852
"Bell Atlantic"	0.0946274
EarthLink	0.0943401
Chrysler	0.0939863
Medtronic	0.093945
UAL	0.0933857
"Air Canada"	0.0932371
"Niagara Mohawk"	0.0926704
TRW	0.0926094
Viacom	0.0925808
Citicorp	0.0925188
"General Motors Corp."	0.0923801
"British Telecom"	0.0919856
"USA Networks"	0.0918652
"Telecom Italia"	0.0916851
Daimler	0.0915914
"Singapore Airlines"	0.0909247
Volkswagen	0.0907348
"Time Warner"	0.089534
ascend	0.0890638
MCI	0.0886158
Alcan	0.0882045
"Travelers Group"	0.0878363
AIG	0.0877263
"Ford Motor Company"	0.0876414
"Canal Plus"	0.0876187
SmithKline	0.0875423
Paribas	0.08705
"Atlantic Richfield"	0.0868706
Pfizer	0.086845
Renault	0.0867457
AMR	0.0865758
Hughes	0.0865589
BMW	0.0865498
"American Home"	0.0863864
GEC	0.0862256
"Mitsubishi Motors"	0.0862251
CMGI	0.0861238
Mannesmann	0.0858981
Boeing	0.085694
"Lockheed Martin Corp."	0.0852785
NatWest	0.0852204
Mobil	0.0852097
"Johnson &AMP; Johnson"	0.0847046
Nissan	0.0846359
Alltel	0.0846358
"Ford Motor Co."	0.0843587
"British Airways"	0.0843104
"General Electric"	0.0842976
"General Motors"	0.08428
Unilever	0.0841736
"Boeing Co."	0.0838087
"America Online Inc."	0.0837494
GTE	0.0835482
Hyundai	0.0834382
WebMD	0.0833692
"General Electric Co."	0.0832334
"MCI WorldCom"	0.0830273
Astra	0.0826972
"News Corp."	0.0822888
Airtouch	0.0822725
Dupont	0.0822524
Texaco	0.0822252
DaimlerChrysler	0.0819759
Swissair	0.0816521
"Bell Atlantic Corp."	0.081412
"SBC Communications"	0.0814048
MACROMEDIA	0.0813939
"Bank of Scotland"	0.0813536
Denel	0.081157
Amoco	0.0811388
"Compaq Computer Corp."	0.0810228
SkyTel	0.080903
"GE Capital"	0.0808994
GANNETT	0.0808208
aerospace	0.0807704
Cablevision	0.0807673
Halliburton	0.0807458
Emulex	0.0806275
"Northrop Grumman"	0.0806166
Fiat	0.0805285
NiSource	0.0804688
"Raytheon Co."	0.0804101
SBC	0.0801493
"Burlington Northern"	0.0801275
EMC	0.0800989
Chevron	0.0800145
Genzyme	0.07982
"Pfizer Inc."	0.0797448
"Times Co."	0.0797197
Daewoo	0.079698
Aetna	0.079658
"Allied Signal"	0.0795839
RealNetworks	0.0795754
Ge	0.0795041
"Y&AMP;R"	0.0794412
"Union Carbide"	0.0793895
Compaq	0.0793526
Humana	0.0790931
"British Petroleum"	0.0784846
TCI	0.0784588
Pepsico	0.0781504
Olivetti	0.0780524
MindSpring	0.0780353
"Hongkong Telecom"	0.0779601
SAA	0.0778866
NTL	0.0777822
Siemens	0.0776168
Comcast	0.0774489
"Times Mirror"	0.0771373
"JDS Uniphase"	0.0770581
"London Stock Exchange"	0.0768243
Motorola	0.0767752
"BankBoston Corp."	0.0767165
"Con Ed"	0.0766206
"Thermo Electron"	0.0765218
Kodak	0.0764601
Sunbeam	0.0763226
"Chrysler Corp."	0.076168
Gazprom	0.0759321
Webvan	0.0758676
"Delta Air Lines"	0.0757649
"Alaska Airlines"	0.0757043
"Intel Corp."	0.0756447
"Oracle Corp."	0.0755661
"Pratt &AMP; Whitney"	0.075478
BCE	0.0752509
E-Trade	0.0749952
Rolls-Royce	0.0747721
"Learning Co."	0.0746563
"US Airways"	0.0745235
NationsBank	0.074486
"Sara Lee"	0.0744786
Seagram	0.0744331
"Royal Bank"	0.0744218
Airbus	0.0743994
Warnaco	0.0743614
Federated	0.0742363
"P&AMP;G"	0.0740242
Dassault	0.074024
"UAL Corp."	0.074003
BSKyB	0.073926
"WorldCom Inc."	0.0738387
"American Airlines"	0.0737851
"Berkshire Hathaway"	0.0735548
Cadbury	0.0734526
CSX	0.0733636
VENATOR	0.0732406
Honeywell	0.0730633
"Air France"	0.0728694
))
("British Airways" (desc 14065.7) (sims
Lufthansa	0.239873
Swissair	0.233288
KLM	0.23023
Iberia	0.214503
"Cathay Pacific"	0.213858
"Air France"	0.210393
"Air China"	0.206173
"United Airlines"	0.199188
"Air Canada"	0.194185
"Continental Airlines"	0.193649
Alitalia	0.191694
"Delta Air Lines"	0.191139
Qantas	0.184518
"American Airlines"	0.180775
"US Airways"	0.175587
"Northwest Airlines"	0.17296
Sabena	0.1723
"Singapore Airlines"	0.168245
"El Al"	0.166891
delta	0.16184
Aeroflot	0.159871
"Alaska Airlines"	0.156409
"Japan Airlines"	0.154357
"Virgin Atlantic"	0.154348
"Southwest Airlines"	0.14937
TWA	0.148813
"Air India"	0.147868
continental	0.147747
"Kenya Airways"	0.147315
EgyptAir	0.140632
"Canadian Airlines"	0.135194
airline	0.135118
AIRTRAN	0.133994
"American eagle"	0.132399
"China Eastern Airlines"	0.13112
"Korean Air"	0.128827
"Gulf Air"	0.128817
"Cathay Pacific Airways"	0.127483
"Trans World Airlines"	0.127246
"Delta Airlines"	0.126922
"America West"	0.125411
Ba	0.117786
Aeromexico	0.115277
"Turkish Airlines"	0.114208
Biman	0.112654
JAT	0.110717
Cathay	0.109135
"Thai Airways"	0.108873
Dragonair	0.10751
UAL	0.10616
"KLM Royal Dutch Airlines"	0.105063
"Thai Airways International"	0.10487
Comair	0.103271
"South African Airways"	0.101983
Boeing	0.101836
"Ethiopian Airlines"	0.10118
"Indian Airlines"	0.101021
carrier	0.100366
"AMR Corp."	0.0998739
Ansett	0.099699
AMR	0.098818
"America West Airlines"	0.0976057
Fedex	0.0962175
"Federal Express"	0.0960055
SAA	0.0947546
"Bell Atlantic"	0.0945271
"MCI WorldCom"	0.0937269
Airlines	0.093586
USAir	0.0931584
"Ford Motor Co."	0.0926386
"Deutsche Telekom"	0.092149
"Allied Pilots Association"	0.0903555
"Vietnam Airlines"	0.0893772
"UAL Corp."	0.0889994
"China Airlines"	0.087642
"Chevron Corp."	0.0872782
"Philippine Airlines"	0.0871311
BellSouth	0.0867927
"U.S. Air Force"	0.0867324
"Air Transport Association"	0.0854189
Airbus	0.0850328
Vodafone	0.084704
"British Aerospace"	0.0843104
"National Grid"	0.0843055
northwest	0.0842609
"Air Line Pilots Association"	0.0828501
"BP Amoco"	0.082366
"China Southern Airlines"	0.081447
Varig	0.080959
"Hongkong Telecom"	0.0805735
BankAmerica	0.0804935
"Ford Motor"	0.0795748
DaimlerChrysler	0.0794111
"Boeing Co."	0.0792662
JAL	0.079262
"Ford Motor Company"	0.0790255
"New York Times Co."	0.0789564
"Time Warner"	0.0786062
Bertelsmann	0.0783536
Monsanto	0.0780844
"Mattel Inc."	0.0780465
"United Parcel Service"	0.0778317
"P&AMP;G"	0.0776497
Eurotunnel	0.0774604
"Malaysia Airlines"	0.0773473
Exxon	0.0769299
Garuda	0.0760303
Olivetti	0.0760086
"American Home Products"	0.0759379
Aetna	0.0757581
"Phelps Dodge"	0.0756124
HKMA	0.0753252
"Reno Air"	0.0750729
Qwest	0.0750251
"Pan Am"	0.0749929
"General Motors Corp."	0.0744993
MCI	0.0743452
Xerox	0.0743069
"America Online Inc."	0.0741027
"Air New Zealand"	0.0740734
"French Foreign Ministry"	0.0739905
"Northeast Utilities"	0.0736573
"Coca-Cola Co."	0.0736269
"British Foreign Office"	0.0736216
"GE Capital"	0.0735149
"Lockheed Martin"	0.0735133
"Procter &AMP; Gamble"	0.0734445
WPP	0.0732417
Interpublic	0.0731514
"Bank of Scotland"	0.0729627
"Hearst Corp."	0.0729406
"Air Lanka"	0.0727712
"Con Edison"	0.0726934
Pepsico	0.072691
AOL	0.0726505
"Airport Authority"	0.0724306
"America Online"	0.0723552
Coca-Cola	0.0721925
"France Telecom"	0.0719601
FAA	0.0718531
Amtrak	0.0716812
"Deutsche Bank"	0.0716229
Compaq	0.0711245
GEC	0.0707164
"Thermo Electron"	0.0706997
"Gap Inc."	0.0702104
"Federated Department Stores"	0.0701426
"General Electric"	0.0699327
"Con Ed"	0.0698257
"Indian Air Force"	0.0698112
ExciteAtHome	0.069762
ETrade	0.0695148
"Pac Bell"	0.0694707
"Daimlerchrysler AG"	0.0692201
Norwest	0.0691804
Verizon	0.0691154
Motorola	0.0688704
"Airbus Industrie"	0.0687543
IBM	0.0685307
RJR	0.0684033
GM	0.0682923
AIG	0.0682902
"Philip Morris"	0.0681967
NatWest	0.0681142
"Walt Disney Co."	0.0680115
Cablevision	0.0680078
"Johnson &AMP; Johnson"	0.0680066
Litton	0.0679872
Mannesmann	0.0678751
Mastercard	0.0678478
Renault	0.0677076
Concorde	0.0675942
"Air Force"	0.0675937
"Sara Lee"	0.0675213
Pfizer	0.0675088
Viacom	0.0674822
UEFA	0.0673275
Citibank	0.0672979
"Boston Scientific"	0.0672871
"News Corp."	0.0671467
HSBC	0.0670552
"McDonnell Douglas"	0.0669828
"Dell Computer Corp."	0.066973
"Silicon Graphics"	0.0666763
REVLON	0.0665666
Texaco	0.0664896
"Levi Strauss &AMP; Co."	0.0664822
"Seagram Co."	0.0664063
"Federal Aviation Administration"	0.0663517
"General Motors"	0.0661476
Checkfree	0.0658867
"Intel Corp."	0.0657627
Nabisco	0.0657465
"Cox Communications"	0.0656122
Paxson	0.0654979
GTE	0.0654228
EarthLink	0.065249
BMW	0.0652053
"Sony Corp."	0.0651763
"Fannie Mae"	0.06512
))
("British Army" (desc 1623.29) (sims
"Army Air Corps"	0.169557
"U.S. Army"	0.139429
"merchant marine"	0.10849
"Infantry Division"	0.107496
SANDF	0.0983521
"Marine Corps"	0.0979837
"Texas Air National Guard"	0.0961697
"U.S. Air Force"	0.0913998
"Yugoslav Army"	0.0862819
infantry	0.0829168
"New York City Police Department"	0.0812471
"Special Forces"	0.0785062
cavalry	0.0774499
"National Guard"	0.0746492
UNAMET	0.0743753
VFW	0.0711856
"Air National Guard"	0.0705713
"Royal Air Force"	0.0690556
"South Vietnamese"	0.0688329
"Peace Corps"	0.0677939
"State Police"	0.0668657
"Erie Canal"	0.066309
gendarmerie	0.0654735
KFOR	0.0651762
"Russian Interior Ministry"	0.0642948
Os	0.0641633
SLA	0.063797
NYPD	0.0627697
UNFICYP	0.0623046
"New Jersey State Police"	0.0616531
ITT	0.0608413
IAF	0.0600137
"Rift Valley Province"	0.0596952
"boy scout"	0.0592084
KNU	0.0582145
"first school"	0.0576444
KGB	0.0574525
IFOR	0.0572766
PLA	0.0571638
"American Legion"	0.0570639
ragtag	0.0568398
INTERFET	0.0565761
"Liberation Army"	0.0565345
"Orange Order"	0.0563932
"border patrol"	0.0563715
UNIFIL	0.0563353
defoliant	0.0554975
"Coast guard"	0.0551059
BIA	0.0543531
"U. N."	0.0542832
"Indian Air Force"	0.0541351
PictureTel	0.0538854
MONUA	0.0538292
"Stabilization Force"	0.0537029
"U.S. Coast Guard"	0.053661
NSA	0.0535208
HBOC	0.0529977
"North Vietnamese"	0.05296
"State Seismological Bureau"	0.0529577
Japanese-Americans	0.0526253
"Public Security Ministry"	0.0523017
Kendall-Jackson	0.0521942
All-Tech	0.0519646
Federated	0.0517207
infantryman	0.0516935
"Red Army"	0.0515146
rinderpest	0.0512286
SFOR	0.0511205
Wahhabis	0.0510162
"Texas Senate"	0.0507458
UPU	0.0502913
"Ministry of Railways"	0.0502231
RCMP	0.0501097
CHP	0.0499322
"Desert Storm"	0.049834
enactors	0.0498107
"chemical warfare"	0.0498098
"Department of Public Safety"	0.0493984
ATF	0.049324
"Operation Desert Storm"	0.0491213
"NFL Players Association"	0.0489868
Walgreen	0.0489356
Bonanno	0.0483921
"Los Angeles Police Department"	0.0483387
"Audubon Society"	0.048033
"North Africa"	0.0478797
ENTERGY	0.047809
Fatah	0.0476337
"L.L Bean"	0.0476176
RAF	0.0475961
"International Red Cross"	0.0474821
"Manhattan Project"	0.047456
GSS	0.0472905
"Lagos State"	0.0470643
SAS	0.0470133
"U.S. Border Patrol"	0.0467701
"State Flood Control"	0.0464572
AlliedSignal	0.0464156
"Ministry of Energy"	0.0463766
"Internal Affairs"	0.0463326
"Republican Guard"	0.0462927
"Israeli Army"	0.0462853
MBNA	0.0461224
"Royal Shakespeare Company"	0.0460711
guild	0.0458174
"State Farm"	0.045807
"Baath Party"	0.0458022
NKP	0.0455969
men	0.04556
INEC	0.0454476
Banyamulenge	0.0454095
"U.S. Army Corps of Engineers"	0.0453391
"Russian Space Agency"	0.0452584
"Around @@@"	0.0452473
"Afghan Taliban"	0.0450922
"New York Police Department"	0.0450745
"Real Networks"	0.0450222
UNTAET	0.0449928
"U.S. Immigration and Naturalization Service"	0.0448896
"European Jews"	0.0448265
"Russian Navy"	0.0447807
DFG	0.0447766
MSF	0.0447066
Darnell	0.0446705
Caldor	0.0445245
MDC	0.0444836
"crop failure"	0.0444526
"Russian Foreign Ministry"	0.0444013
"William Morris"	0.0442434
CWA	0.043915
NLRB	0.0439062
Georgia-Pacific	0.0438521
COSCO	0.0436972
"Douglas MacArthur"	0.0435869
Gestapo	0.0435207
FSB	0.0433725
UNDCP	0.0433384
GEC	0.0433059
"Pitt County"	0.0432686
Leningrad	0.043117
"Marge Schott"	0.0430982
"naval officer"	0.0430906
PBA	0.0430686
Kisumu	0.0430134
"Airborne Division"	0.0428701
Bridgestone	0.0427777
picketers	0.0426432
stead	0.0426415
"mental institution"	0.0426154
"Army Corps"	0.0425063
Penney	0.0424575
COLTEC	0.0424251
IAI	0.0424175
Northpoint	0.0423406
"Planet Hollywood"	0.0422496
"Fort Campbell"	0.0421975
"combat zone"	0.0421966
Walgreens	0.0420797
Oneidas	0.0418988
"special agent"	0.0418566
FSA	0.041692
DMV	0.0416421
Kanu	0.0416312
"Southern Command"	0.0416297
"trading post"	0.0414417
FAO	0.0414087
"Jehovah's Witness"	0.0413655
"field hospital"	0.0413546
DEP	0.0413291
FEMA	0.0412658
"Texas Department of Public Safety"	0.0412126
"Pizza Hut"	0.0411884
"Salvation Army"	0.0411529
Cline	0.0411348
CPLP	0.0410552
"Pudong International Airport"	0.0410463
"American plane"	0.0409745
"Sara Lee"	0.0409599
SPS	0.0408951
Enron	0.0408574
"Purple Heart"	0.040843
Botswanan	0.0407963
"Royal Canadian Mounted Police"	0.0407854
GAM	0.0406223
"Los Angeles Unified School District"	0.0404439
EA	0.0403954
"germ warfare"	0.0403127
"Immigration and Naturalization Service"	0.040288
UNPREDEP	0.0401415
TNI	0.0400869
Interpol	0.0400833
))
("British Broadcasting Corp." (desc 3769.7) (sims
BBC	0.306628
"British Broadcasting Corporation"	0.22942
"Voice of America"	0.183025
"Dow Jones Newswires"	0.175166
"Cable News Network"	0.174081
"Zimbabwe News Agency"	0.15428
"Israel Radio"	0.148821
"NBC News"	0.14767
CNN	0.138824
IRNA	0.133105
"ABC News"	0.129841
"Court TV"	0.128832
Reuters	0.128163
"El Pais"	0.124797
Izvestia	0.124605
"National Public Radio"	0.12425
"Business Times"	0.124144
"Egyptian Middle East News Agency"	0.123101
CNBC	0.123059
"Washington Post"	0.121126
"Jerusalem Post"	0.118382
C-Span	0.117383
Haaretz	0.116943
NHK	0.115404
MSNBC	0.113894
"Radio Liberty"	0.112974
"Turkish Daily News"	0.112365
"CBS News"	0.1104
"United Press International"	0.110381
"Fox News"	0.11033
CBS-TV	0.109593
"Good Morning America"	0.107999
"Xinhua News Agency"	0.107844
"Rwanda News Agency"	0.107786
"Los Angeles Times"	0.107616
Newsweek	0.10588
"Channel @"	0.105458
"Financial Times"	0.103776
"Straits Times"	0.103767
Notimex	0.102368
ABC-TV	0.100818
ABC	0.100434
"New Straits Times"	0.0999943
"Associated Press of Pakistan"	0.0999878
NTV	0.0992331
"Jakarta Post"	0.0974478
"Associated Press"	0.0969865
Star-Ledger	0.0958206
NBC	0.0957118
"Der Spiegel"	0.0952893
"television network"	0.0945967
"Indonesian Observer"	0.0935474
"Antara News Agency"	0.0935327
CBC	0.0934837
"Agence France-Presse"	0.0927944
"Fox News Channel"	0.0926709
CBs	0.0918082
PBS	0.0915705
"San Antonio Express-News"	0.0905438
"Tehran Times"	0.0904259
CNN/SI	0.090404
"USA TODAY"	0.0904004
"Fox Sports Net"	0.0903613
ABS-CBN	0.0899273
"U.S. Labor Department"	0.0896943
"Cincinnati Enquirer"	0.0896907
"Asahi Shimbun"	0.0896656
"TV station"	0.0895669
"Bloomberg News"	0.0892176
"Denver Post"	0.0891481
"Yomiuri Shimbun"	0.0890936
"Australian Associated Press"	0.088122
"TV network"	0.0880811
ESPN	0.0878361
"Le Figaro"	0.0876568
"Sydney Morning Herald"	0.0874307
"Wall Street Journal"	0.0865086
"Iran News"	0.0863606
"Middle East News Agency"	0.0853943
"Detroit Free Press"	0.0848176
NBC-TV	0.0847244
"Arizona Republic"	0.0844352
"Cox Newspapers"	0.0843437
CCTV	0.0841329
Nightline	0.0840619
"Moscow Times"	0.0840448
"Daily Telegraph"	0.0840297
"History Channel"	0.0838608
"Islamic Republic News Agency"	0.0835795
"Washington Times"	0.0831475
"Dateline NBC"	0.0829125
MTI	0.0823685
Post-Intelligencer	0.08223
"Gulf News"	0.0821904
"Press Trust of India"	0.0821434
"New York Times"	0.0819778
"Kyodo News"	0.0819388
Al-Ahram	0.0816148
"Korean Central News Agency"	0.0812962
Antara	0.0808508
"News Agency of Nigeria"	0.0806494
Kommersant	0.0804695
"Daily News"	0.0803527
Ansa	0.0798705
"Miami Herald"	0.0798456
Lusa	0.0796627
"Anatolia News Agency"	0.079507
Inquirer	0.0794536
"Le Monde"	0.0792252
"Iraqi News Agency"	0.0788252
"Detroit News"	0.0786412
"television station"	0.0784248
"South China Morning Post"	0.078313
"Saudi Press Agency"	0.0782096
Xinhua	0.0770266
RCN	0.0764879
Bernama	0.0753143
APA	0.0750692
Noticias	0.0749702
ORT	0.0747003
APTN	0.0745221
Bild	0.0741549
Maariv	0.073972
"USA Network"	0.0738786
CTV	0.0737851
"Kuwait News Agency"	0.0731649
AFP	0.0731596
"Russian Defense Ministry"	0.0731435
WGN	0.0729348
"Ethiopian News Agency"	0.0729286
"Fox TV"	0.072681
"Golf Channel"	0.0720084
Reforma	0.0719064
"ABC Sports"	0.071224
"Thai News Agency"	0.0710044
"Ghana News Agency"	0.0709822
WGBH	0.0708943
"Boston Herald"	0.0706413
"Chicago Tribune"	0.0705578
"Boston Globe"	0.0702655
"Health and Human Services Department"	0.0697924
"European Swimming Championships"	0.0695997
TT	0.0693582
VH@	0.0691264
"Kyodo News Service"	0.0690515
"English Football Association"	0.0687674
"CBS SportsLine"	0.0684813
"China Central Television"	0.0684606
"Mike Wallace"	0.0680069
"Discovery Channel"	0.0677691
"National Association of Realtors"	0.0677069
UPI	0.0676572
"South African Press Association"	0.0675801
"French Foreign Ministry"	0.0672669
HBO	0.0670962
"Senate Armed Services Committee"	0.0670696
MTV	0.0669317
"Egyptian Gazette"	0.0669209
"press agency"	0.0668527
"International Badminton Federation"	0.0667638
"Houston Chronicle"	0.0667198
"Kansas City Star"	0.0667048
"Des Moines Register"	0.0666739
"Agence France Presse"	0.0662539
Tass	0.066251
"Jordan Times"	0.0661165
al-Hayat	0.065887
"Atlanta Journal-Constitution"	0.0655976
Rai	0.0655113
TNN	0.0652812
Interfax	0.0652703
"Seattle Post-Intelligencer"	0.065097
"Vietnam News"	0.0649742
"New Vision"	0.0646815
"Cyprus News Agency"	0.0646632
Showtime	0.0645886
"Vietnam News Agency"	0.0644413
"Food Network"	0.0642336
"Nihon Keizai Shimbun"	0.0641754
"Philadelphia Inquirer"	0.0635663
"San Francisco Examiner"	0.0634715
Walters	0.0634568
"Macao Daily News"	0.0629343
"Kathmandu Post"	0.0627035
MENA	0.0625009
"Zambia News Agency"	0.0619186
CNA	0.0618255
"Dallas Morning News"	0.0617413
Kyodo	0.0614305
NPR	0.0609719
"Fox Sports News"	0.0608058
"Secretary General Esmat Abdel-Meguid"	0.0603592
RNA	0.0603428
"news service"	0.060338
Linz	0.0603101
"Early Show"	0.0602796
primetime	0.0601966
hourlong	0.0600933
"Fox Sports"	0.0599218
"San Francisco Chronicle"	0.0597783
))
("British Broadcasting Corporation" (desc 3666.75) (sims
"Saudi Press Agency"	0.305648
IRNA	0.258309
"Egyptian Middle East News Agency"	0.254223
"Agence France Presse"	0.243678
"Associated Press of Pakistan"	0.232551
"British Broadcasting Corp."	0.22942
"News Agency of Nigeria"	0.228494
"Straits Times"	0.220894
"Indonesian Observer"	0.22051
Angop	0.21423
"Philippine News Agency"	0.208779
"Kyodo News"	0.206557
Antara	0.205032
"Korean Central News Agency"	0.204036
"Egyptian Gazette"	0.198457
"Business Times"	0.196981
Haaretz	0.194349
"Israel Radio"	0.193052
Lusa	0.192579
"Kuwait News Agency"	0.191603
"Kyodo News Service"	0.190914
"Tehran Times"	0.190084
"Islamic Republic News Agency"	0.187749
"Dow Jones Newswires"	0.187314
"Middle East News Agency"	0.18704
"Thai News Agency"	0.186449
"Jerusalem Post"	0.185238
al-Hayat	0.184964
"Khaleej Times"	0.18034
BBC	0.178935
"Agence France-Presse"	0.178636
"Ethiopian News Agency"	0.177317
"Iraqi News Agency"	0.175969
"Ghana News Agency"	0.175866
"Australian Associated Press"	0.175411
Ansa	0.17502
"Business Day"	0.173657
"Daily Star"	0.171453
Noticias	0.171159
"Business Weekly"	0.167884
"Rwanda News Agency"	0.165111
"Le Monde"	0.164346
"Southern African Broadcasting Association"	0.163172
"Post Express"	0.162454
"Anatolia News Agency"	0.162243
"Press Trust of India"	0.161906
"New Vision"	0.161844
Sowetan	0.161807
"Jakarta Post"	0.161479
AFP	0.161332
Bernama	0.16034
"Xinhua News Agency"	0.159734
Tass	0.159572
"Radio Uganda"	0.157851
"Moscow Times"	0.15739
"Kathmandu Post"	0.15737
"Daily Nation"	0.157171
"Zimbabwe News Agency"	0.156836
"U.S. Labor Department"	0.156036
Tanjug	0.155955
"East African Standard"	0.154094
"Daily Times"	0.153685
Kyodo	0.153637
"Zambia News Agency"	0.15141
"South China Morning Post"	0.150515
Petra	0.150462
KPL	0.149906
Kommersant	0.148637
Reuters	0.14693
"Cyprus News Agency"	0.146666
"Jordan Times"	0.146384
"Financial Mail"	0.145688
"Kenya Times"	0.145131
"Turkish Daily News"	0.144531
"Gulf News"	0.144399
"New Nigerian"	0.143796
"El Pais"	0.142935
"Cable News Network"	0.141352
"South African Press Association"	0.141007
"Antara News Agency"	0.14093
"Bangkok Post"	0.140317
"Der Spiegel"	0.140163
"National Association of Realtors"	0.138926
MENA	0.138664
"Asahi Shimbun"	0.137272
"Vietnam News Agency"	0.136578
PTI	0.133893
"Le Figaro"	0.133512
"Vietnam News"	0.132862
MTI	0.131435
Notimex	0.129757
"Iran News"	0.128837
"Financial Times"	0.128526
"China Daily Business Weekly"	0.128201
ATA	0.127357
"Athens News Agency"	0.127134
"Ethiopian Herald"	0.125031
Al-Ahram	0.124478
"East African"	0.12423
"Washington Times"	0.123827
Itar-Tass	0.123785
"Bloomberg News"	0.123341
WAM	0.122374
"The New Vision"	0.121529
"Zambia Daily Mail"	0.120062
"press agency"	0.118955
"United Press International"	0.118729
"Beijing Daily"	0.118612
Interfax	0.118408
INA	0.118313
BS	0.117904
"Macao Daily News"	0.115472
"Daily News"	0.115362
Eurostat	0.114934
"Al Ahram"	0.114853
"USA TODAY"	0.114752
"New Straits Times"	0.114596
"Guangming Daily"	0.113424
"Sydney Morning Herald"	0.113226
SAPA	0.112612
"Seattle Times"	0.11233
"Los Angeles Times"	0.112326
Anatolia	0.111921
"Alam Al Yom"	0.109836
"The Monitor"	0.10851
"Wall Street Journal"	0.108224
"Press Trust"	0.107791
"Al Hayat"	0.107458
Malaya	0.10697
Maariv	0.106526
"Washington Post"	0.105719
"Daily Telegraph"	0.105356
"New Light"	0.103623
"China Daily"	0.102781
Reforma	0.102336
RSS	0.10207
"Wenhui Daily"	0.100789
"Nihon Keizai Shimbun"	0.0996756
KUNA	0.0987741
Hurriyet	0.098254
TT	0.0967695
"Voice of America"	0.0964176
"news agency"	0.096039
"China Youth Daily"	0.09548
NHK	0.0952753
"U.S. Commerce Department"	0.0951111
"Chicago Tribune"	0.0946407
"news service"	0.094333
"Jerusalem Media and Communication Center"	0.0939135
"Daily Mail"	0.0923398
APA	0.0920452
Asahi	0.0919317
Salam	0.0913086
APP	0.0906658
"El Mundo"	0.0906399
"Conference Board"	0.0905791
"Associated Press"	0.090298
"Statistics Canada"	0.089376
"Detroit Free Press"	0.087916
"Detroit News"	0.0873307
"Boston Herald"	0.0848038
Bild	0.0845676
"Dallas Morning News"	0.0832245
"TV station"	0.0828802
"Nihon Keizai"	0.0828106
"Yomiuri Shimbun"	0.0825424
"New York Times"	0.0810353
RNA	0.0809539
CNA	0.08083
"Australian Bureau of Statistics"	0.0806656
Izvestia	0.0805789
Xinhua	0.080527
Guardian	0.0803887
NTV	0.0803032
"Miami Herald"	0.0800937
Times	0.0797232
Jana	0.0780148
ABS-CBN	0.0779843
Ruehe	0.0768535
"Congressional Research Service"	0.0765171
"Koha Ditore"	0.0764504
"Information Center"	0.0760148
Spiegel	0.0756361
Dominion	0.0754913
"Beijing Youth Daily"	0.0752659
"Radio Free Asia"	0.0750483
Yomiuri	0.0747129
L'Equipe	0.0746866
Newsweek	0.0746457
Inquirer	0.0736615
CNN	0.0736482
"Commerce Department"	0.0734283
"Arizona Republic"	0.0731281
"Seattle Post-Intelligencer"	0.072946
CTV	0.0710183
"Census Bureau"	0.0708934
"U.S. Defense Department"	0.0705681
"Economic Daily"	0.0703553
"Wen Wei Po"	0.0693982
"Labor Department"	0.0692039
))
("British Columbia" (desc 15112.6) (sims
Manitoba	0.213346
Saskatchewan	0.201156
Alberta	0.175583
Newfoundland	0.173959
Ontario	0.160846
"New Brunswick"	0.158593
"Nova Scotia"	0.150086
Quebec	0.133028
Alaska	0.122823
"Prince Edward Island"	0.116545
Maine	0.107608
"New Mexico"	0.102049
"North Dakota"	0.0975281
Idaho	0.0968425
Canada	0.0964754
Pennsylvania	0.0948397
Montana	0.0943992
Wyoming	0.0933911
Louisiana	0.0927317
Oregon	0.0922158
"Northwest Territories"	0.0918016
Vermont	0.0908598
Virginia	0.0905932
"New South Wales"	0.0870001
California	0.086148
Queensland	0.08587
Wisconsin	0.0847452
"South Dakota"	0.0831412
Georgia	0.0814859
Massachusetts	0.0802783
"Pacific Northwest"	0.0787766
Greenland	0.0779136
Florida	0.0778235
Hawaii	0.077763
Missouri	0.0773173
Bahamas	0.0772935
Honduras	0.0754126
Nevada	0.0750523
Mexico	0.0745195
Fujian	0.0739779
Sichuan	0.073306
Colorado	0.0728102
"North Carolina"	0.0727701
Maryland	0.0727113
Siberia	0.0726846
"Rhode Island"	0.0722738
Katanga	0.0722335
Qinghai	0.0719897
"Northern California"	0.0719267
"Baja California"	0.0718154
Connecticut	0.0717915
Zhejiang	0.0716854
Jiangsu	0.0713377
Gauteng	0.0705347
"Western Cape"	0.0703448
Kwazulu-Natal	0.0699201
Alabama	0.0693065
Arkansas	0.0686545
Peru	0.0685411
"West Virginia"	0.0684223
Iceland	0.0681925
"Costa Rica"	0.0681792
"Puerto Rico"	0.0680109
Colombia	0.0677796
Nicaragua	0.067366
Shaanxi	0.06727
Victoria	0.0672263
"Papua New Guinea"	0.0672173
Yukon	0.0671735
Mississippi	0.0669347
"New Jersey"	0.0668853
"South America"	0.0665599
"New England"	0.0665521
"Southern California"	0.0661239
"South Carolina"	0.0656814
"New York State"	0.0656789
"Orange County"	0.0656552
"Dominican Republic"	0.0652783
"North America"	0.0652583
Arizona	0.0648105
Oklahoma	0.0646747
Guangxi	0.0645485
Utah	0.0644314
"District of Columbia"	0.0641161
Ohio	0.0638973
Illinois	0.0637724
Iowa	0.0637309
Shanxi	0.0636338
Kansas	0.0636243
Midwest	0.0633481
Morristown	0.0632015
"Montgomery County"	0.063094
Venezuela	0.0626341
Hunan	0.0620869
Bangladesh	0.0619706
Montenegro	0.0618411
Vojvodina	0.0618124
Michigan	0.0616475
Nunavut	0.061449
Ghana	0.0614124
"Lower Saxony"	0.0612904
Hainan	0.0611926
Xinjiang	0.0610908
"Los Angeles County"	0.0609522
"Great Plains"	0.0609058
Kenya	0.0608928
"French Alps"	0.0602365
Kentucky	0.0598291
Namibia	0.0597023
"Sri Lanka"	0.059447
Minnesota	0.0591727
Guangdong	0.0587003
Ethiopia	0.0582282
Shandong	0.0580594
Caribbean	0.0578994
Henan	0.0578729
"Marin County"	0.0576994
Winnipeg	0.0576109
"Palm Beach County"	0.0576089
Yunnan	0.0573507
Ningxia	0.0571781
Haiti	0.0571482
Hungary	0.0570015
Romania	0.0568123
KwaZulu/Natal	0.0567935
"Big Sur"	0.0567032
Tibet	0.0565017
Ireland	0.0563971
Gloucester	0.0563278
"Irian Jaya"	0.0563107
ASHEVILLE	0.0560087
Guatemala	0.0559436
"South Florida"	0.0559066
Jiangxi	0.0558491
Delaware	0.0558043
Algeria	0.05578
"New Zealand"	0.0555409
Nevis	0.0555277
Belgium	0.0554968
Mozambique	0.0554364
"New Hampshire"	0.0554041
"Canadian province"	0.0553369
Bermuda	0.05524
Guam	0.0552318
Sindh	0.0552022
Tanzania	0.0550511
"Westchester County"	0.0550178
Adirondacks	0.0549792
"Ivory Coast"	0.0549441
Chiapas	0.0548762
Thailand	0.0547806
Brooklyn	0.0544674
Montreal	0.0544136
Anhui	0.0542982
"Bay Area"	0.0542499
Congo	0.0538511
"Sierra Nevada"	0.0537708
Argentina	0.0535057
Belize	0.053483
Poland	0.0534454
Ecuador	0.0533571
"Sonoma County"	0.0533233
"Central Valley"	0.0533175
Taiwan	0.0528504
Gaza	0.0528167
Putumayo	0.0528124
"Virgin Islands"	0.052565
Panama	0.0524138
Fiji	0.0522864
Yonkers	0.0521023
Vancouver	0.0519737
Spain	0.0519621
"Miami-Dade County"	0.0518909
Laos	0.0518001
Uganda	0.0517887
"Inner Mongolia"	0.0517812
Sofala	0.0516262
Gansu	0.0516156
Albania	0.0516
Kyrgyzstan	0.0515264
"Far East"	0.0514981
Bolivia	0.0514061
"Gaza Strip"	0.0513063
Punjab	0.0511298
Hesse	0.0511015
"Warren County"	0.0510138
Malaysia	0.0507024
Guyana	0.0506418
Scotland	0.0505901
Jasper	0.0505116
"South American country"	0.0505107
"San Fernando Valley"	0.0504241
Guizhou	0.0504219
Appalachia	0.0504043
"South Texas"	0.0504006
Zaire	0.0503804
Greece	0.0501317
"El Paso"	0.0500901
Hubei	0.0500678
Senegal	0.0499319
))
("British Embassy" (desc 3634.27) (sims
"German Embassy"	0.328351
"Japanese Embassy"	0.26418
"Israeli Embassy"	0.241713
"U.S. Embassy"	0.235059
"Turkish Embassy"	0.177996
"British High Commission"	0.173239
"US Embassy"	0.16114
"Russian Embassy"	0.156027
embassy	0.148147
"Defense Ministry"	0.139613
"foreign office"	0.137029
"Chinese Embassy"	0.129705
"British Foreign Office"	0.129104
"Thai Foreign Ministry"	0.124164
"Interior Ministry"	0.116119
"Foreign Ministry"	0.113338
"United States Embassy"	0.11267
"Health Ministry"	0.112042
"Ministry of Foreign Affairs"	0.111462
"Home Ministry"	0.108771
"Russian Foreign Ministry"	0.101425
"French Foreign Ministry"	0.0997947
"police headquarters"	0.0987336
consulate	0.0977846
"Presidential Palace"	0.0975952
"Israeli Foreign Ministry"	0.0956158
"Agriculture Ministry"	0.0947319
"Ministry of Defense"	0.0937526
"Royal Palace"	0.0935458
"Finance Ministry"	0.0910089
"Myanmar Embassy"	0.0907709
"U.S. State Department"	0.0891281
"Ministry of Trade and Industry"	0.0865295
"Commerce Ministry"	0.0856675
"Iranian Foreign Ministry"	0.0855001
"Turkish Foreign Ministry"	0.0850649
"Buckingham Palace"	0.0840046
"Culture Ministry"	0.0830135
"Labor Ministry"	0.0817655
"military attache"	0.0798275
"Mission Control"	0.0784027
"Bank of Uganda"	0.0773436
"Education Ministry"	0.076544
"Department of Health"	0.0761282
"diplomatic mission"	0.0761158
"military hospital"	0.0752891
"Justice Ministry"	0.0749612
"Chinese Foreign Ministry"	0.0747819
"military headquarters"	0.0744509
"Downing Street"	0.0743552
"U.S. Defense Department"	0.0738831
"State Department"	0.0737756
UNHCR	0.0724296
ICRC	0.072323
"Industry Ministry"	0.0720531
"main office"	0.0719282
"National Press Club"	0.0718986
"Nuclear Regulatory Commission"	0.0717684
"Museum of Natural History"	0.0714867
"Ben-Gurion Airport"	0.0712039
EOHR	0.0706436
"US State Department"	0.0698531
"Ministry of Health"	0.0694174
"International Red Cross"	0.069405
Secretariat	0.0691979
"Russian Defense Ministry"	0.0683322
"Ministry of Agriculture"	0.0679789
"Scotland Yard"	0.0679497
"Orient House"	0.0675245
NHTSA	0.0672718
WFP	0.0670052
"Ministry of Culture"	0.0657834
F.A	0.0656797
"Department of Education"	0.0654135
"Ministry of Finance"	0.0651095
"Indian High Commission"	0.0645221
"Department of Health and Human Services"	0.0644446
"Department of Corrections"	0.0644269
CIRC	0.0640287
HCFA	0.0627923
"Imperial Palace"	0.0626747
"Information Ministry"	0.0624406
"U.S. Immigration and Naturalization Service"	0.0623591
"Agency for International Development"	0.0621235
"Thai Commerce Ministry"	0.0618497
"Rainbow Room"	0.0614058
airbase	0.061323
"Federal Aviation Administration"	0.0613186
"Johnson Space Center"	0.0611973
"Defense Agency"	0.0610342
SDPC	0.0607082
DEP	0.0602309
MOFTEC	0.0601826
"Social Security Administration"	0.0601753
DFB	0.0601386
"Transportation Department"	0.0600821
"news briefing"	0.0596663
"Israeli Army"	0.0593927
UNAMET	0.0592721
"EU Commission"	0.0591435
"Health Department"	0.0589229
CWA	0.0588945
DMV	0.0586655
Massport	0.0586239
attache	0.0585389
ITU	0.0582733
"Ministry of Public Security"	0.0582168
ritz	0.0581822
"Democratic National Committee"	0.0581508
"city hall"	0.0580674
"National Zoo"	0.0579394
JPL	0.0575168
"Con Ed"	0.0575152
"Department of Trade and Industry"	0.0573954
"Department of Environment"	0.057291
"Department of Housing and Urban Development"	0.0572866
"Plaza Hotel"	0.0572479
"Civil Aviation Authority"	0.0571603
stopover	0.0570963
"Treasury Department"	0.0569567
"Fortune Global Forum"	0.0568452
CAC	0.0567678
"Department of Energy"	0.0566564
"Public Security Ministry"	0.0566043
"Board of Investment"	0.0561547
"head office"	0.0561034
"Department of Public Safety"	0.0559198
"Commerce Department"	0.0557967
"State House"	0.0557901
"Ministry of International Trade and Industry"	0.0555839
SANDF	0.0554716
"travel agency"	0.0553426
Advani	0.05534
"Ministry of Posts"	0.0552461
Starwood	0.0548851
Wyeth-Ayerst	0.054859
"National Highway Traffic Safety Administration"	0.0547051
CAA	0.054653
CPSC	0.0546034
"Department of Environmental Protection"	0.0545937
Ritz-Carlton	0.0544765
"State Flood Control"	0.0544359
"Energy Department"	0.0543088
"Transport Ministry"	0.0542653
NSC	0.0542054
"Interior Department"	0.0541794
TDB	0.0537416
"Truth Commission"	0.0536269
"National Hurricane Center"	0.0535716
NCEC	0.0535686
"National Transportation Safety Board"	0.053471
"Department of Transportation"	0.0531623
"Education Department"	0.0531315
"Ministry of Tourism"	0.0531279
SSB	0.0530784
"Department of State"	0.053067
"U.S. Treasury Department"	0.0525802
MII	0.0524727
"State Development Planning Commission"	0.0523917
"Intelligence Ministry"	0.0523034
CDC	0.0520215
OSCE	0.0519838
"Ministry of Industry"	0.0519627
"Human Rights Watch"	0.0519358
"Asian Championships"	0.0517514
"Department of Foreign Affairs"	0.0516312
FEMA	0.0514817
BSF	0.0514804
"civil defense"	0.0514373
"U.N. Headquarters"	0.0513109
"general staff"	0.05124
"Dulles International Airport"	0.0512363
"Better Business Bureau"	0.0510738
BOI	0.0509603
"U.S. Soccer Federation"	0.0508072
DEA	0.05077
"Lincoln Memorial"	0.0506431
"U.S. Treasury"	0.05044
Comelec	0.0503943
MSF	0.0503382
WEF	0.0502602
"home office"	0.0502503
"Ministry of Forestry"	0.0502012
"Museum of Chinese History"	0.0498616
ISU	0.0498052
NTSB	0.0495682
Marriott	0.0495355
"navy yard"	0.0491941
"U. N."	0.0491697
ACB	0.0491406
"Gulf Air"	0.0488226
"European Commission"	0.0487765
"Ministry of Information"	0.0487674
"Department of Finance"	0.0484858
"Ministry of Civil Affairs"	0.0484204
OCA	0.0481994
"Bank Indonesia"	0.0481917
"Consumers Union"	0.0480507
"government minister"	0.04793
"National Security Council"	0.0478766
))
("British Empire" (desc 1849.03) (sims
"Legion of Honor"	0.233825
"Russian Navy"	0.0840027
"Indonesian Armed Forces"	0.0818735
"St. Andrew"	0.0801977
"Northern Fleet"	0.0722152
"Roman Empire"	0.0718453
WNBF	0.0702508
"United Republic of Tanzania"	0.0668832
"Andean Group"	0.0668006
"Albanian Kosovo Liberation Army"	0.0646778
"South Lebanese Army"	0.0637186
"Special Forces"	0.0635715
"Real IRA"	0.0615134
"Israel Defense Forces"	0.0612452
"Delta Force"	0.0605837
"South Lebanon Army"	0.0605503
"South African National Defense Force"	0.0602479
"Southern Command"	0.0597532
"Moro National Liberation Front"	0.0586488
"Warsaw Pact"	0.0586374
"Spanish Civil War"	0.0576458
Mensa	0.0575724
"Ku Klux Klan"	0.0575198
"blue angel"	0.0574836
"Lord's Resistance Army"	0.0566537
"Islamic Revolution Guards Corps"	0.0563724
"Hurricane Hugo"	0.0563204
"Hurricane Andrew"	0.0556687
basij	0.0554808
"paramilitary organization"	0.0554414
oligarchy	0.0551587
"Rio Group"	0.0545799
"American Legion"	0.054306
"Simon Bolivar"	0.0540374
INTERFET	0.0535238
valor	0.0531604
Judea	0.0531242
"over @@@ billion yuan"	0.0530175
MI@	0.0527652
"Islamic Movement"	0.0527442
"United Nations Observer Mission"	0.0525067
Asiad	0.0522654
"Allied Democratic Forces"	0.0520313
"Western Athletic Conference"	0.0519478
"Uganda People's Defense Forces"	0.051683
"Texas Air National Guard"	0.0513654
hyperinflation	0.051255
"Street Crime Unit"	0.0512146
"Orthodox Church"	0.0510639
"Group of @@"	0.051055
"Indonesian Military"	0.0509585
"Josef Stalin"	0.0509256
"Pan Pacific"	0.0508997
"Israeli Defense Forces"	0.0505634
"intellectual property rights"	0.0505074
"Creutzfeldt-Jakob Disease"	0.0501419
"US House"	0.0500267
"Operation Desert Storm"	0.0499532
"Muslim Brotherhood"	0.0497867
"Texas Legislature"	0.0495131
CEC	0.0490677
nunnery	0.0489471
"East Asian Games"	0.0487934
Americorps	0.0487446
"Iraqi National Congress"	0.0485999
"Screen Actors Guild"	0.0485372
"repertory company"	0.0477782
"Airborne Division"	0.0476143
"Phoenix Open"	0.0476124
"Russian Orthodox Church"	0.0474298
"Aryan Nations"	0.0469379
"Revolutionary Guards"	0.0464971
"U.N. Observer Mission"	0.0464686
"Jackson State"	0.0460277
government-in-exile	0.0459248
"one billion US dollars"	0.045674
peregrine	0.0455966
"U.S. Air Force"	0.0454957
"National Liberation Front"	0.0451347
mujahedeen	0.0447851
"Ferdinand Marcos"	0.0447135
MNLF	0.0446157
"Mormon Church"	0.0443834
SLA	0.0442893
UPDF	0.0442562
"Church of Jesus Christ of Latter-day Saints"	0.0442418
"House Un-American Activities Committee"	0.0442169
foodies	0.0441584
"European Community"	0.0441006
"about @.@ billion US dollars"	0.0439404
"Islamic Revolutionary Guards Corps"	0.0438209
"Medal of Honor"	0.0437427
"Liberation Front"	0.0436549
"World Heritage List"	0.0435954
"Air Force Reserve"	0.0435808
"Kurdistan Workers Party"	0.0433214
KPA	0.043164
"Kennedy Center"	0.0430575
"Los Angeles Police Department"	0.0428977
VFW	0.042801
"popular front"	0.0425709
"California Angels"	0.0424845
"Electoral Commission"	0.0424343
Vukovar	0.0423997
Maurier	0.042291
"MLS Cup"	0.0420689
"Presbyterian Church"	0.0420235
"Berlin Wall"	0.0420144
PTA	0.0420137
"League of Nations"	0.0418632
"Armed Islamic Group"	0.0418401
"National Liberation Army"	0.0417961
"two billion US dollars"	0.041708
"Winning Colors"	0.0416471
"Public Security Ministry"	0.0416178
"Black Sea Fleet"	0.0415988
"Zapatista National Liberation Army"	0.0415187
"Operation Lifeline Sudan"	0.0413163
Chinese-Indonesians	0.041248
gendarmerie	0.041133
pomposity	0.0411001
"Indian Air Force"	0.0410645
"Congressional Black Caucus"	0.0410444
"Yellowstone National Park"	0.0404755
"Red Army"	0.0404338
"Pan Ams"	0.0403528
LRA	0.0403461
Amal	0.0402849
"Russian Security Council"	0.040263
sorority	0.0402144
"Kitty Hawk"	0.0401125
AFL	0.0400932
"China National Petroleum Corporation"	0.0400888
))
("British Foreign Office" (desc 1009.53) (sims
"Turkish Foreign Ministry"	0.283339
"U.S. Defense Department"	0.283337
"Israeli Foreign Ministry"	0.261927
"French Foreign Ministry"	0.231736
"Iranian Foreign Ministry"	0.224914
"Russian Foreign Ministry"	0.204936
"Downing Street"	0.200479
"foreign office"	0.190448
"Buckingham Palace"	0.185863
"Thai Foreign Ministry"	0.17974
"Ministry of Defense"	0.17087
"Home Ministry"	0.169592
NCEC	0.168527
SDPC	0.165857
"U.S. State Department"	0.164962
DEP	0.164747
SAA	0.16036
DFB	0.159276
"Agriculture Ministry"	0.156984
"Culture Ministry"	0.155737
"U.S. Treasury Department"	0.155224
"U.S. Soccer Federation"	0.154421
SSB	0.153236
"Central Election Commission"	0.152862
"Chinese Foreign Ministry"	0.15253
"Justice Ministry"	0.151724
CIRC	0.150996
"Israeli Army"	0.150812
"Scotland Yard"	0.150252
"Transport Ministry"	0.149226
"Nuclear Regulatory Commission"	0.145784
"Russian Defense Ministry"	0.140738
NHTSA	0.140038
"Lee Hsien Loong"	0.139916
"Consumer Product Safety Commission"	0.138113
CPSC	0.137919
"Russian Interior Ministry"	0.137475
"US State Department"	0.136765
"Hong Kong Monetary Authority"	0.136682
"Department of Health"	0.136456
"Department of Foreign Affairs"	0.135414
"Health Ministry"	0.134539
AHP	0.134458
"National Bureau of Statistics"	0.133377
HHS	0.133056
"Defense Ministry"	0.13189
SFC	0.13122
"Public Security Ministry"	0.131108
"Pascoal Mocumbi"	0.130805
UNAMET	0.130655
"Labor Ministry"	0.130631
F.A	0.130518
"Defense Agency"	0.130234
"Japanese Embassy"	0.130021
"Education Department"	0.129104
"British Embassy"	0.129104
FIA	0.128739
"Kenyan Government"	0.127251
"International Badminton Federation"	0.124653
"Defense William Cohen"	0.124608
"English Football Association"	0.124265
"Interior Ministry"	0.123292
MOFTEC	0.12311
"Civil Aviation Authority"	0.122253
"Commerce Ministry"	0.121787
"Airport Authority"	0.120443
CAA	0.119732
"Ministry of Public Security"	0.119633
Rodionov	0.1193
CWA	0.119242
"Israeli Embassy"	0.119155
Scharping	0.118927
ICRC	0.11878
SANDF	0.118166
"Australian Bureau of Statistics"	0.117839
"Foreign Ministry"	0.117524
Caltrans	0.116974
"EU Commission"	0.116606
FSA	0.116166
"John Bruton"	0.115669
"German Embassy"	0.115652
"Health Department"	0.115058
"State House"	0.114593
NRC	0.113581
"Joint Liaison Group"	0.112642
"Jack Straw"	0.1117
"Secretary General Esmat Abdul-Meguid"	0.111536
CDB	0.11145
"British government"	0.111367
"U.S. Immigration and Naturalization Service"	0.111332
Malu	0.110693
SFA	0.110459
"Housing Authority"	0.110328
UEFA	0.110074
"Texas Department of Public Safety"	0.10992
CBK	0.109298
Fernandes	0.108806
NSC	0.1087
ITF	0.107827
"Department of Corrections"	0.107524
Boueiz	0.107475
"John Prescott"	0.107315
Wyeth-Ayerst	0.107303
PETA	0.10717
IAI	0.106169
Railtrack	0.106133
"Real IRA"	0.105799
EOHR	0.105435
"Orlando Mercado"	0.10512
Venables	0.105103
"Information Ministry"	0.104996
Ruehe	0.10493
officals	0.104889
"Transportation Department"	0.104713
NTSB	0.104694
OCA	0.104144
"Russian Space Agency"	0.103906
"South African National Defense Force"	0.103302
Bridgestone/Firestone	0.103116
SEPA	0.102882
PBOC	0.102764
"Gulf Air"	0.102554
"Health and Human Services Department"	0.10239
"Immigration Department"	0.102279
GSS	0.102065
USEC	0.102
"U. N."	0.101504
SETC	0.101348
MII	0.10091
"Secretary General Esmat Abdel-Meguid"	0.100889
Bridgestone	0.10048
"Economic Cooperation"	0.100154
"Jenny Shipley"	0.100097
"Economic Planning Agency"	0.100078
"Finance Ministry"	0.100068
"John Major"	0.0999365
"Con Ed"	0.0996849
Ikimi	0.0996105
INC	0.0990352
"Education Ministry"	0.0989752
"Antonio Guterres"	0.0989034
IAAF	0.0987789
"Department of State"	0.0987078
"election commission"	0.0985947
"Financial Supervisory Agency"	0.0982572
GPU	0.0979776
"Department of Public Safety"	0.0977488
DMV	0.0975989
"Defense Department"	0.0975943
"Trade and Industry"	0.0974919
UUP	0.0972975
EEOC	0.0971077
"Alain Juppe"	0.0969983
RCMP	0.0969445
"Department of Environmental Protection"	0.0967964
Massport	0.0966657
"College Board"	0.096524
ISU	0.0964788
PSC	0.0964203
BSF	0.0962802
HCFA	0.0961721
FIBA	0.0961596
Komura	0.0958547
"De Klerk"	0.095338
"Ministry of Foreign Affairs"	0.0946668
"International Amateur Athletic Federation"	0.0946345
"Business Council"	0.0945142
"Richard Blumenthal"	0.0944661
NSA	0.0943993
ACB	0.0943779
Eurotunnel	0.0940684
ACOG	0.0939408
"Ministry of Foreign Trade and Economic Cooperation"	0.0937669
"Bank of Israel"	0.0936191
"Helen Clark"	0.093541
"Bank of Korea"	0.0934682
FA	0.0934096
"Treasury Department"	0.093279
"State Police"	0.0931339
CCB	0.0929789
"Ministry of Trade and Industry"	0.0928828
"State Statistics Bureau"	0.0928529
"Bank of Uganda"	0.0926468
FSB	0.0924496
Verniero	0.0924432
CFTC	0.091843
"U.S. Forest Service"	0.0917311
Cavallo	0.0915306
FEC	0.0913205
IDT	0.0912962
"Royal Ulster Constabulary"	0.0912585
"Thai Commerce Ministry"	0.091116
"International Amateur Athletics Federation"	0.0910616
"International Tennis Federation"	0.090975
"U.S. Embassy"	0.0908356
Manley	0.090724
"Speaker Ali Akbar Nateq-Nouri"	0.0906443
Lucasfilm	0.0905965
CEC	0.0905775
"National Police"	0.0905573
))
("British government" (desc 812.936) (sims
"U.S. Administration"	0.156938
"Kenyan Government"	0.1504
"International Badminton Federation"	0.139176
"U.S. Defense Department"	0.136732
"English Football Association"	0.125532
NCEC	0.125252
Wada	0.125073
"John Prescott"	0.124536
"U.S. Soccer Federation"	0.123349
"Iranian Foreign Ministry"	0.121936
Ruthardt	0.118454
CIRC	0.115539
"Israeli Foreign Ministry"	0.11463
"British Foreign Office"	0.111367
"French Foreign Ministry"	0.111251
"Truth Commission"	0.111199
"Clinton Administration"	0.108215
"Amos Wako"	0.105561
"BellSouth Corp."	0.104843
Wenger	0.104336
"National Thoroughbred Racing Association"	0.104322
UNAMET	0.104
Pustovoitenko	0.103337
"Philippine Central Bank"	0.103206
"Russian Defense Ministry"	0.10228
SDB	0.101708
BNFL	0.100781
"Reserve Bank of India"	0.0981671
Havelange	0.0975852
"Downing Street"	0.0975275
"Saudi King Fahd Ibn Abdul-Aziz"	0.0973493
Kasoulides	0.0971871
Sanan	0.097151
Lundberg	0.0954587
"Turkish Foreign Ministry"	0.0954501
FOMC	0.0952899
"U.S. State Department"	0.0950825
"Alain Juppe"	0.0949437
"Israeli Defense Forces"	0.0938443
conferees	0.0937079
Bruton	0.0935619
Brundtland	0.093392
"Defense Agency"	0.0932465
"Financial Supervisory Agency"	0.0927093
"Jack Straw"	0.092421
"patent office"	0.0921203
Ghalib	0.0919742
"Defense William Cohen"	0.0909671
"Justice Ministry"	0.0909492
"Philippine Stock Exchange"	0.0908415
"John Bruton"	0.0901579
"International Ski Federation"	0.0895199
"U.N. World Food Program"	0.0888191
Kazhegeldin	0.0886662
SDPC	0.0882185
"U.N. Sanctions Committee"	0.0880666
"Mesut Yilmaz"	0.0880112
"Secretary General Esmat Abdel-Meguid"	0.0878508
SFC	0.0877998
Taleban	0.0877615
"Lee Hsien Loong"	0.0872198
HKMA	0.0871957
"Secretary General Esmat Abdul-Meguid"	0.0871653
"Independent Electoral Commission"	0.0871085
"Home Secretary"	0.0870278
Kalejs	0.0867536
Kulikov	0.0865061
"Russian Foreign Ministry"	0.0858494
"Guardians Council"	0.0856935
NLD	0.0856672
Twenty-seven	0.0855342
EBRD	0.0851786
FIA	0.085151
"Commerce Ministry"	0.085134
"Speaker Ali Akbar Nateq-Nouri"	0.0850551
"Federal Trade Commission"	0.0844802
"China Securities Regulatory Commission"	0.0842287
"Palestinian Central Council"	0.0841292
"President Lee Teng-hui"	0.0837271
Jelisic	0.0834845
Blackthorne	0.0830904
"Central Election Commission"	0.0827112
"China Youth Development Foundation"	0.0826757
Meciar	0.0826114
"Health and Welfare Ministry"	0.0825881
KPU	0.0825157
FCC	0.0818728
Grasso	0.0818372
"Royal Bank of Scotland"	0.0818323
Hanley	0.0816766
"de Charette"	0.0813318
"Hong Kong Monetary Authority"	0.0812422
"Royal Government"	0.0811571
"Federal Communications Commission"	0.0811051
Abdel-Meguid	0.080939
"Environmental Protection Agency"	0.0807244
"Operation Lifeline Sudan"	0.0806629
Meguid	0.0805431
"Islamic Revolutionary Guards Corps"	0.0803581
Advani	0.0801414
ITF	0.0799248
CCB	0.0796152
CAF	0.0795867
"Louise Arbour"	0.0794169
"John Major"	0.0793767
"Israeli Cabinet"	0.0792738
Dumas	0.0790555
Barbour	0.0788091
Hasina	0.0787305
"Army Corps"	0.0786969
"Los Angeles City Council"	0.078644
"Commonwealth Ministerial Action Group"	0.0784448
"Football Association"	0.0781658
"Department of Trade and Industry"	0.0781585
"Philippine Senate"	0.0781214
Barshefsky	0.0781084
"Electoral Commission"	0.0780832
"London Stock Exchange"	0.0778649
"U.N. agency"	0.0778194
UNMIK	0.0774969
FN	0.0773871
Chao	0.0773486
Chevenement	0.0773368
"Senate Armed Services Committee"	0.077047
"Australian Olympic Committee"	0.077023
Verniero	0.0768912
INEC	0.0767157
"National Electoral Commission of Nigeria"	0.076558
Venables	0.0765017
"Tourism Authority of Thailand"	0.0764219
"Texas Senate"	0.0762506
"Ministry of Public Security"	0.0761753
McCurry	0.076074
"Pandeli Majko"	0.0760268
"Radu Vasile"	0.0760115
Zeroual	0.0759746
"Nuclear Regulatory Commission"	0.0759542
"United States Congress"	0.0759081
"EU Commission"	0.07574
"John Howard"	0.0756448
"Ministry of Foreign Trade and Economic Cooperation"	0.0755995
"International Amateur Athletic Federation"	0.0754114
ICRC	0.0751649
"antitrust regulator"	0.0750592
"Thai Foreign Ministry"	0.075049
"U.S. Environmental Protection Agency"	0.074969
"Bruce Babbitt"	0.0747349
"Senate Commerce Committee"	0.0747313
SEF	0.0746484
Khamenei	0.0744364
Velayati	0.0744328
"United States government"	0.0742854
"Industrial and Commercial Bank of China"	0.0741961
"National Sports Council"	0.0741729
Banharn	0.0740776
"State Bank of Pakistan"	0.0740334
"Ministry of Trade and Industry"	0.0739369
Westendorp	0.0737339
AUM	0.0736956
"Central Bureau of Statistics"	0.0736426
Alarcon	0.0736358
"De Klerk"	0.0735904
"African Development Bank"	0.0735803
Prewitt	0.0734018
Kajiyama	0.0733743
"Antonio Guterres"	0.0730346
"House Appropriations Committee"	0.0730208
Guei	0.0730079
Alatas	0.0729615
"Pascoal Mocumbi"	0.0728361
"UN Security Council"	0.0728281
"Food and Drug Administration"	0.072549
UNTAET	0.0725116
"U.S. Army Corps of Engineers"	0.072213
"Senate Budget Committee"	0.0721845
"Oxford University Press"	0.0721732
Jayakumar	0.071736
"National Transportation Safety Board"	0.0717015
"Cuban American National Foundation"	0.0716863
"Russian Parliament"	0.0716564
MII	0.0716554
"European Council"	0.0715684
"Palestinian Legislative Council"	0.0715627
"Jordanian King Abdullah Bin Hussein"	0.0715532
FEMA	0.0715148
Preval	0.0713644
organisers	0.0711882
Jovanovic	0.071139
Starwood	0.0711057
"Bank of Thailand"	0.0711011
"Home Ministry"	0.0710566
"Department of Defense"	0.0710264
PDVSA	0.0710178
Tsang	0.0709474
"National Election Committee"	0.0708587
"Stock Exchange of Thailand"	0.070798
"Ford Motor Company"	0.0707069
Ikeda	0.0706768
"Health Department"	0.070641
Bouteflika	0.0705377
))
("British Grand Prix" (desc 3003.85) (sims
"Japanese Grand Prix"	0.19565
"Grand Prix"	0.188543
"French Grand Prix"	0.187307
"London Marathon"	0.15069
"Pepsi @@@"	0.134394
Pocono	0.127942
Imola	0.111626
"NAPA @@@"	0.109817
"Daytona @@@"	0.109463
"Melbourne Cricket Ground"	0.107849
Silverstone	0.101458
"Memorial Tournament"	0.0978227
"Indy @@@"	0.0961091
"Brickyard @@@"	0.0952778
"New Hampshire International Speedway"	0.0888156
"U.S. Senior Open"	0.0886
Monza	0.0879823
"Western Open"	0.0877794
Bormio	0.0869425
"New York City Marathon"	0.0860491
Daytona	0.0856793
"AFC Championship Game"	0.0855856
Talladega	0.0836581
Kitzbuehel	0.0832041
"Le Mans"	0.0821357
"World Athletics Championships"	0.0814996
"Phoenix Open"	0.0808659
"MLS Cup"	0.0797242
Indy	0.0790505
"Golden League"	0.0767477
"California Speedway"	0.0756851
"Miami Fusion"	0.0754606
"Buick Invitational"	0.0749388
"Volleyball Grand Prix"	0.0744732
"Maurier Open"	0.0739926
"Atlanta Motor Speedway"	0.0729125
"Busch Series"	0.0727737
"Michigan Speedway"	0.0724692
Suzuka	0.0721267
"Hollywood Gold Cup"	0.0716523
"British Open"	0.0710275
"Atlanta Olympic Games"	0.0706851
"World Weightlifting Championships"	0.0704787
"PGA Championship"	0.0696271
Sestriere	0.0684221
Asiad	0.0674807
"German Open"	0.0673296
"Grand Slam Cup"	0.0671903
"Buick Classic"	0.066819
"Old Trafford"	0.0664666
"Texas Motor Speedway"	0.0657492
"Italian Open"	0.0657291
"Nissan Open"	0.0655992
"Tour Championship"	0.0655793
"Eighth National Games"	0.0655753
"Tony Awards"	0.0655471
"European Swimming Championships"	0.0650279
Winston	0.064279
rainout	0.0635136
"Belmont Stakes"	0.0632458
"LPGA Championship"	0.0632254
"Busch Grand National"	0.063047
season-opener	0.0628625
"Gold Cup"	0.061796
"Australian Open"	0.0617934
"Tour de France"	0.0610744
"Wood Memorial"	0.0608183
slalom	0.0606284
"Olympic Winter Games"	0.060165
"Daytona International Speedway"	0.0601142
"World Cup Finals"	0.0599366
"US Open"	0.0598071
"Pan American Games"	0.0598067
"World University Games"	0.0597946
"African Nations Cup"	0.0597767
"first cup"	0.05959
"National League West"	0.0594345
"Winston Cup"	0.0593439
"Solheim Cup"	0.0592747
"European Cup"	0.0592677
"World Figure Skating Championships"	0.0592037
"United States Open"	0.0591915
"Swiss Open"	0.0590628
"Dunhill Cup"	0.0589799
Busch	0.0589218
"Hollywood Park"	0.0587337
"All-Star Game"	0.0585935
tourney	0.0585303
Iditarod	0.0585205
"East Regional"	0.0584934
"Boston Marathon"	0.0584135
TM	0.05827
"Santa Anita"	0.0582065
"Hong Kong Open"	0.0581942
"International AIDS Conference"	0.058173
"Asian Cup"	0.057576
"primary election"	0.0574744
"Melbourne Park"	0.0574684
"Mastercard Colonial"	0.0574282
NHIS	0.0573865
"Players Championship"	0.0572873
Chamonix	0.0569893
"Oak Tree"	0.0567863
by-election	0.0563923
"Loch Lomond"	0.0563721
Brickyard	0.0558818
Ghent	0.0558778
"Kremlin Cup"	0.0558235
"Grand National"	0.0554632
"World Environment Day"	0.0552569
Super-G	0.0550161
regatta	0.0548865
Fukuoka	0.05463
"Japan Open"	0.0545051
"Villa Park"	0.0542528
"Nations Cup"	0.0542483
constructor	0.0539379
"Talladega Superspeedway"	0.053918
"Pacific Classic"	0.0537823
"Louis Vuitton Cup"	0.0537247
"AFC West"	0.0535955
"NEC Invitational"	0.053497
"Super Bowl XXXIII"	0.0534704
"Paris Open"	0.0533556
"Goodwill Games"	0.0531616
Darlington	0.0530131
Heerenveen	0.0530113
Criterium	0.0529241
"West Regional"	0.0527171
Martinsville	0.0526995
"Olympic Trials"	0.0525583
Wembley	0.0520165
mini-camp	0.0519093
"Republican National Convention"	0.0516652
"SEC East"	0.0514349
"three-day event"	0.0510872
"European Championship"	0.0510349
"Euro @@@@"	0.050924
"Pulitzer Prizes"	0.0507309
"Las Vegas Motor Speedway"	0.0506889
"Tropicana Field"	0.0504479
"Sydney Olympic Games"	0.0504251
Hakuba	0.0499472
"Belmont Park"	0.0498578
"NFC Championship Game"	0.0498451
"Emmy Awards"	0.049842
"National League Central"	0.0497842
"Kickoff Classic"	0.0494738
Durres	0.0492738
"Chase Championships"	0.0491742
"Turn @"	0.0490812
"Golden Globes"	0.048881
"skiing race"	0.0484426
"French Open"	0.0483019
triathlon	0.0482481
"British Opens"	0.0482025
GP	0.0481256
Gelsenkirchen	0.048033
Hobart	0.0479744
"ASEAN Ministerial Meeting"	0.0479615
"Compaq Center"	0.0479144
Giro	0.0477039
"Gold Coast"	0.0474077
"San Sebastian"	0.047383
"American League East"	0.04734
"garden party"	0.0472757
"Earth Day"	0.0471553
"American League West"	0.0470938
Eastbourne	0.0468806
"Bernie Ecclestone"	0.0465267
Basle	0.0464105
"Charlotte Motor Speedway"	0.0463574
"Congress Working Committee"	0.0462844
"Lipton Championships"	0.0462011
"ski race"	0.0461901
"English Premier League"	0.0460953
Catalonia	0.0460208
"Comiskey Park"	0.0459422
"Premier League"	0.0459299
polling	0.0458279
Dover	0.0457907
"Continental Arena"	0.0456345
"Central Division"	0.0456257
"Indianapolis Motor Speedway"	0.0451433
"NL West"	0.0450044
Olympiad	0.0449552
"African Cup"	0.0448183
"Pikes Peak"	0.0447765
Ipoh	0.0447711
Valencia	0.044668
Keeneland	0.0446541
"Academy Awards"	0.0444525
"Western Athletic Conference"	0.0443675
"NFC East"	0.0443565
Engelberg	0.0443552
"Lake Louise"	0.0443293
"Dubai World Cup"	0.0442459
"Gulf News"	0.0442185
"Canadian Open"	0.0442094
"Florida Everglades"	0.0442074
))
("British High Commission" (desc 2931.28) (sims
"Thai Foreign Ministry"	0.228722
"foreign office"	0.208808
"High Commission"	0.19967
"Israeli Embassy"	0.188171
"Japanese Embassy"	0.187193
"Home Ministry"	0.186359
"French Foreign Ministry"	0.181414
"United States Embassy"	0.17722
"Ministry of Trade and Industry"	0.175681
"U.S. Embassy"	0.174907
"Ministry of Foreign Affairs"	0.173373
"British Embassy"	0.173239
"Indian High Commission"	0.168518
"Department of Foreign Affairs"	0.168237
"Defense Ministry"	0.166381
"Chinese Foreign Ministry"	0.156361
"Department of Health"	0.149725
"Ministry of Industry"	0.14901
"United Nations High Commissioner for Refugees"	0.147725
"Health Ministry"	0.14654
"Labor Ministry"	0.144474
"Turkish Foreign Ministry"	0.143596
"Ministry of Tourism"	0.138125
"Foreign Ministry"	0.136618
"Justice Ministry"	0.135318
"U.S. State Department"	0.130293
"German Embassy"	0.126853
"Ministry of Defense"	0.12624
"National Bureau of Statistics"	0.125526
"Thai Commerce Ministry"	0.125258
embassy	0.123757
"Israeli Foreign Ministry"	0.123637
Secretariat	0.122999
"Interior Ministry"	0.122951
"Ministry of Health"	0.122713
"Ministry of Foreign Trade and Economic Cooperation"	0.121081
"Ministry of Culture"	0.120701
"Industry Ministry"	0.11963
"United Nations High Commission for Refugees"	0.118844
"Health Department"	0.117741
"Ministry of Finance"	0.115806
"high commissioner"	0.11463
"State Statistics Bureau"	0.11398
"National Highway Traffic Safety Administration"	0.113104
"Board of Investment"	0.112349
"Office of Management and Budget"	0.111967
"Ministry of International Trade and Industry"	0.111517
"Commerce Ministry"	0.11131
"Department of Health and Human Services"	0.111167
"Agriculture Ministry"	0.111123
UNHCR	0.110375
"Ministry of Foreign Trade"	0.109354
"Ministry of Agriculture"	0.109243
"Iranian Foreign Ministry"	0.109087
"US Embassy"	0.108681
"Education Ministry"	0.108524
"Russian Foreign Ministry"	0.106747
"Department of Trade and Industry"	0.106681
"U.S. Immigration and Naturalization Service"	0.105888
"State Statistical Bureau"	0.105752
"Ministry of Information"	0.105333
HKMA	0.104706
ECA	0.102747
PBOC	0.102228
"Ministry of Public Security"	0.101721
"Hong Kong Tourist Association"	0.10102
"Texas Department of Public Safety"	0.100835
"Ministry of Economy"	0.100022
"Information Ministry"	0.0995208
"Hong Kong Trade Development Council"	0.0993763
"Chinese Embassy"	0.0991279
"U.S. Soccer Federation"	0.098811
"Airport Authority"	0.0987922
"Presidential Palace"	0.0980126
WFP	0.0977779
"Department of Public Safety"	0.0976966
"National Federation"	0.0975941
"Tourism Authority of Thailand"	0.097477
"Census and Statistics Department"	0.0972213
"Central Bank of Kenya"	0.0968937
INEC	0.0966508
"State Flood Control"	0.0965743
"Ministry of Communications"	0.0961909
"Bank Indonesia"	0.0961897
"Department of State"	0.0958944
"Department of Commerce"	0.0956883
MOFTEC	0.0954995
"Ministry of Education"	0.0953291
"State Administration for Industry"	0.0945247
"National Election Committee"	0.0941225
"Federal Security Service"	0.0936341
ICRC	0.0934782
"Department of Corrections"	0.0922479
"World Food Program"	0.0918671
"National Marine Fisheries Service"	0.0911225
"Taiwan Affairs Office"	0.090335
HKTA	0.0902312
consulate	0.0901977
"China National Tourism Administration"	0.0898148
"police headquarters"	0.0896865
UNAIDS	0.0896337
"Ministry of Forestry"	0.0892197
"ASEAN Secretariat"	0.0890868
"Health Care Financing Administration"	0.0886449
"Ministry of Labor"	0.0881363
"National Republican Congressional Committee"	0.0878592
"United Nations Development Program"	0.0878256
"Ministry of Civil Affairs"	0.087187
"Finance Ministry"	0.0871795
"Department of Environmental Protection"	0.0870417
"National Tourism Administration"	0.0869143
"Ministry of Land"	0.0868355
"State Forestry Administration"	0.0866251
"Ministry of Railways"	0.0864593
"Air Transport Association"	0.0862796
"election commission"	0.0860688
"planning commission"	0.0860619
"Ministry of Interior"	0.085695
"Department of Defense"	0.0856336
"Culture Ministry"	0.0854041
"Ministry of Posts"	0.0850453
"Hong Kong Monetary Authority"	0.0848907
"Ministry of Science"	0.0848389
"Standard Chartered Bank"	0.0846788
"General Administration of Customs"	0.0841968
"European Commission"	0.0839711
UNDP	0.0839558
"Ministry of Public Health"	0.0837591
"Russian Embassy"	0.0835247
"American Bankers Association"	0.0828623
"Sheraton Hotel"	0.0825617
WEF	0.0824002
"diplomatic mission"	0.0817024
NTSB	0.0816784
ICTR	0.0816564
"U.N. Development Program"	0.0814602
"People's Bank of China"	0.0813705
"Central Bank of Nigeria"	0.0812479
"Ministry of Water Resources"	0.0807116
"International Committee"	0.0806022
"Education Department"	0.0804143
ESCAP	0.08026
"Royal Palace"	0.0801294
UNAMET	0.079807
"Department of Veterans Affairs"	0.0796889
"Ministry of Planning"	0.0793659
"Department of Agriculture"	0.0793078
"British Foreign Office"	0.0787915
"Australian Bureau of Statistics"	0.0785355
"Presidential Office"	0.0785297
"Board of Elections"	0.0781829
"National Transportation Safety Board"	0.0781533
"American Association of Health Plans"	0.0779689
"Association of Flight Attendants"	0.0779251
"Department of Energy"	0.0777577
"State Development Planning Commission"	0.0777376
"National Stadium"	0.0776877
"Russian Defense Ministry"	0.077643
"College Board"	0.077242
BOI	0.0770284
"Ministry of Personnel"	0.0769832
"head office"	0.0767463
"Commerce Department"	0.0767316
"Russian Space Agency"	0.0766764
"National Police"	0.0763618
"Kaiser Family Foundation"	0.0761065
"Department of Education"	0.0756283
"Ministry of Information Industry"	0.0756039
CDC	0.0754264
ISTAT	0.0748484
"State Education Commission"	0.074784
"Central Bureau of Statistics"	0.0746981
"Defense Agency"	0.0746712
"National Aeronautics and Space Administration"	0.0745629
"International Badminton Federation"	0.0745332
"State Environmental Protection Administration"	0.0744907
UNICEF	0.0744498
UCI	0.0744471
"Department of Finance"	0.0740051
UNEP	0.0738329
Tat	0.0734101
FIVB	0.0732149
"Department of Housing and Urban Development"	0.072986
"Federal Bureau of Investigation"	0.0729524
"Federal Aviation Administration"	0.0723511
"Ministry of Construction"	0.0719739
"Information Office"	0.0716256
"U.N. High Commissioner for Refugees"	0.0711764
Wyeth-Ayerst	0.0711052
"State Seismological Bureau"	0.0706066
"World Health Organization"	0.070493
"United Nations Children's Fund"	0.0703079
"military headquarters"	0.0702574
"Democratic Congressional Campaign Committee"	0.0698797
"Securities Industry Association"	0.0698255
"U.N. Mission"	0.0696475
"State Bureau of Environmental Protection"	0.0696041
"Nuclear Regulatory Commission"	0.0694451
"Jomo Kenyatta International Airport"	0.0689853
"Drug Enforcement Administration"	0.068607
))
("British Isles" (desc 1454.69) (sims
Scandinavia	0.108642
"South America"	0.101945
Eurasia	0.0925609
"North Africa"	0.0915987
"United Kingdom"	0.0857923
"Far East"	0.0839893
"Southeast Asia"	0.0831149
Oceania	0.0821643
Mideast	0.0800487
"Asia Pacific"	0.0794711
"Great Britain"	0.0779011
"Western Europe"	0.0750785
"Scandinavian country"	0.0747654
USSR	0.0746036
Baltic	0.0727917
"Pacific Rim"	0.0725872
"West Africa"	0.0722493
"East Asia"	0.0702004
"inner ear"	0.0687646
"Eastern Europe"	0.0655384
"Central Asia"	0.0638214
"South Pacific"	0.0636514
"Holy Land"	0.0625049
"Near East"	0.0619175
U.K.	0.059064
subcontinent	0.058314
"Unites States"	0.0547757
"western hemisphere"	0.0547365
Luzon	0.0517938
ten-day	0.0516925
"Third World"	0.0515961
fact-finding	0.0511813
pontoon	0.0509523
"professional baseball"	0.0507829
"Klaus Naumann"	0.0504061
Iroquois	0.0502676
"Yucatan Peninsula"	0.0498958
"Council of Europe"	0.0492299
Antarctica	0.0490313
biosphere	0.0489956
"West Germany"	0.0488747
"Andean Group"	0.0484471
Flanders	0.0482209
"European nation"	0.0480382
nine-day	0.047667
Normandy	0.0470446
"Sunshine State"	0.0467549
"Baltic Sea"	0.0463435
"St Petersburg"	0.0462674
"South American country"	0.045003
"Boston Harbor"	0.0448459
"Republic of Ireland"	0.0448294
Zakopane	0.044713
"southern hemisphere"	0.0444972
"European Community"	0.0444409
"New York Harbor"	0.0441688
"Russian Federation"	0.0439882
CMAG	0.0439312
two-night	0.043624
"Windsor Castle"	0.0433241
Aegean	0.0427868
"Commonwealth of Independent States"	0.0425974
"female body"	0.0424505
Tabernacle	0.0423716
seven-day	0.0422975
Tuscany	0.0414595
"Northeast Asia"	0.0410866
"Nevada-Las Vegas"	0.0409843
NCEC	0.040957
Luxemburg	0.0409154
Appalachia	0.04088
"Western Desert"	0.0408573
Pyrenees	0.0407758
Springbok	0.0406477
"South China Sea"	0.0405239
"West Indies"	0.0405002
"professional golf"	0.04048
"Florida Keys"	0.040373
"Dead Sea"	0.0403437
"Jordan River"	0.0401344
"American football"	0.0400857
))
("British Museum" (desc 2385.62) (sims
"Tate Gallery"	0.215266
"San Francisco Museum of Modern Art"	0.211987
"Museum of Modern Art"	0.18547
"Whitney Museum"	0.180893
"Metropolitan Museum"	0.176485
"Museum of Fine Arts"	0.166654
"National Gallery"	0.161343
"Philadelphia Museum of Art"	0.160327
"Museum of Natural History"	0.152978
"Metropolitan Museum of Art"	0.15103
"Solomon R. Guggenheim Museum"	0.146487
"Whitney Museum of American Art"	0.140369
"Art Institute of Chicago"	0.136151
"High Museum of Art"	0.135107
"American Museum of Natural History"	0.129978
"Atlanta History Center"	0.129272
"Smithsonian Institution"	0.120284
"Corcoran Gallery"	0.120035
"Museum of Contemporary Art"	0.116888
"Brooklyn Museum of Art"	0.113104
Louvre	0.110696
"Jewish Museum"	0.108716
"New York Public Library"	0.106815
"Brooklyn Museum"	0.0948762
"Guggenheim Museum"	0.0936612
Guggenheim	0.0861882
"Palace Museum"	0.0846073
"John F. Kennedy Library"	0.081336
metropolitan	0.0808561
"Royal National Theater"	0.0804443
Hermitage	0.0796964
"National Museum"	0.0713357
Whitney	0.0700598
MFA	0.070013
CPS	0.0668013
met	0.0659332
"Royal Opera House"	0.0650019
Smithsonian	0.0635999
"Costume Institute"	0.0613317
"Museum of Chinese History"	0.0611754
"Hearst Corporation"	0.0610904
"Johnson Space Center"	0.0603161
Moma	0.0584663
Corning	0.0571503
"Public Service Commission"	0.055729
Sotheby's	0.0553678
"Millennium Dome"	0.0550506
"Civil Aviation Authority"	0.0541046
"Russian Duma"	0.0539287
"High Commission"	0.0531132
"science museum"	0.052919
"British Parliament"	0.0528355
"House Budget Committee"	0.052506
"Wembley Stadium"	0.0523925
"Barneys New York"	0.052169
"mind's eye"	0.0521375
"Westminster Abbey"	0.0518489
"Bergdorf Goodman"	0.0513955
"State Administration of Cultural Heritage"	0.0513471
Getty	0.0511643
"Consumer Federation"	0.0510233
"Housing Authority"	0.0508666
"National Archives"	0.0504327
"Saks Fifth Avenue"	0.0502108
"National Theater"	0.0499455
"Royal Ballet"	0.0495544
"summer house"	0.0490458
"art gallery"	0.0488843
Christie's	0.0488534
"Lincoln Center Theater"	0.0488429
"Senate Budget Committee"	0.048342
"Chinese NPC"	0.0478865
"Consumer Electronics Show"	0.0478099
"Enron Corp."	0.0472722
"Great Hural"	0.0466588
"Department of Corrections"	0.046622
"New York City Opera"	0.0462908
"Cuban American National Foundation"	0.0460187
"Space Needle"	0.0457597
"ABN AMRO"	0.0452678
"Miller Park"	0.0451396
"Atomic Energy Commission"	0.0450676
"New York Civil Liberties Union"	0.044787
Heathrow	0.0446793
quickest	0.0444467
"city university"	0.0443256
Macworld	0.0442136
"Myanmar Embassy"	0.044063
"National Republican Congressional Committee"	0.0440016
"American Bar Association"	0.043909
mortuary	0.0435791
"Commerce Committee"	0.0435393
Harrods	0.0434723
"Hong Kong Stock Exchange"	0.0433209
daycare	0.0430726
"Buckingham Palace"	0.0429515
"Motorola Inc."	0.0428912
"Duke University"	0.0426908
"Senate Commerce Committee"	0.0426661
"Anti-Defamation League"	0.042552
"Holiday Inn"	0.0424336
"Salvation Army"	0.042367
"American International Group"	0.0423039
Barneys	0.0422583
Thames	0.0420618
hospice	0.0417446
"Justice Center"	0.0416753
"House Appropriations Committee"	0.0416416
"Southeastern Legal Foundation"	0.041627
"Democratic Senatorial Campaign Committee"	0.0415419
"International AIDS Conference"	0.0414081
"District Council"	0.0413681
cannery	0.0413189
"civil defense"	0.0412336
"Halliburton Co."	0.0411922
"Amherst College"	0.0411324
"Levi Strauss &AMP; Co."	0.0410752
UNMOVIC	0.0408913
aquarium	0.0407702
"Metropolitan Transportation Authority"	0.0407619
"National Security Agency"	0.0407211
WPP	0.0407134
"Field Poll"	0.0406673
"bubonic plague"	0.0405404
"Consumer Product Safety Commission"	0.04038
"Ethics Commission"	0.0403313
UNAMET	0.0401752
))
("British Open" (desc 28239.4) (sims
Masters	0.272222
"U.S. Open"	0.266587
"PGA Championship"	0.246387
"US Open"	0.172434
"French Open"	0.167432
"Australian Open"	0.16732
PGA	0.166924
Wimbledon	0.155554
"Tour Championship"	0.153708
"Players Championship"	0.146913
"LPGA Championship"	0.141715
championship	0.139375
tournament	0.136817
"Western Open"	0.135677
"British Opens"	0.134479
"Dunhill Cup"	0.132532
"U.S. Senior Open"	0.130481
"Memorial Tournament"	0.129553
"Ryder Cup"	0.12656
"Boston Marathon"	0.121052
"Canadian Open"	0.120607
"Buick Classic"	0.119531
"Royal Birkdale"	0.11682
"Pebble Beach"	0.115032
"U.S. Amateur"	0.114754
"Bay Hill"	0.113538
"Daytona @@@"	0.113239
"Nissan Open"	0.111949
"World Cup"	0.110723
"European Championships"	0.108603
Olympics	0.107294
"Kentucky Derby"	0.106565
"U.S. Opens"	0.106262
"New York City Marathon"	0.105982
"Mastercard Colonial"	0.104453
"Tour de France"	0.103955
"European Championship"	0.103846
"College World Series"	0.0981063
"Brickyard @@@"	0.0969459
"Super Bowl"	0.0960466
"Indy @@@"	0.0957691
"European Cup"	0.0949774
"World Series"	0.0941513
major	0.0935593
"Buick Invitational"	0.0932002
"Asian Games"	0.0931678
"Davis Cup"	0.0928449
"Phoenix Open"	0.0923716
"Olympic Games"	0.0911003
"All-Star Game"	0.0910691
"grand slam"	0.0905242
"Italian Open"	0.0894427
"Gold Cup"	0.0888572
playoff	0.0884501
Carnoustie	0.0879254
"cup final"	0.0878102
"Little League World Series"	0.0874223
"Maurier Classic"	0.0863019
"Pan American Games"	0.0862228
"Loch Lomond"	0.0858906
"Atlanta Olympic Games"	0.0857551
"United States Open"	0.0855977
Preakness	0.0853766
Derby	0.0849942
"BellSouth Classic"	0.0845554
"World Championships"	0.084392
"match play"	0.0841408
slalom	0.084046
tourney	0.0838448
round	0.0835181
"Augusta National"	0.0820681
"NCAA Tournament"	0.0819386
Opens	0.0818805
"Copa America"	0.0818193
"London Marathon"	0.0816386
"Olympic Club"	0.0813146
marathon	0.0812197
"Commonwealth Games"	0.0806401
Maurier	0.0805535
"Asian Cup"	0.080447
final	0.0802889
"Goodwill Games"	0.0799001
"Winston Cup"	0.0796064
Super-G	0.0792119
"Atlanta Olympics"	0.0791551
Pinehurst	0.0788651
"Sydney Olympics"	0.0787449
"Atlanta Games"	0.0787144
"Thomas Cup"	0.0780832
NCAAs	0.0779418
"Stanley Cup"	0.0777721
"Sydney Games"	0.0777638
"National Invitation Tournament"	0.0772685
"European Champions Cup"	0.0772206
"African Nations Cup"	0.0769121
"FA Cup"	0.0765371
"UEFA Cup"	0.0761617
"NFC East"	0.0757347
"Skate America"	0.0755232
"Fed Cup"	0.0753962
golf	0.0753172
Augusta	0.0750485
"German Open"	0.0749081
"PGA Tour"	0.0745788
"Old Course"	0.0740039
"Grand Prix"	0.0738232
TPC	0.0733515
Colonial	0.0730805
"Belmont Stakes"	0.072757
"Confederations Cup"	0.0726795
"Japan Open"	0.072434
Indy	0.0723524
"Euro @@@@"	0.0722984
Olympic	0.0720977
"World University Games"	0.0718694
nit	0.0714737
"Santa Anita Derby"	0.0710382
"British Grand Prix"	0.0710275
downhill	0.0709279
"St. Andrews"	0.070822
"Pepsi @@@"	0.0706948
"Sydney Olympic Games"	0.0705202
freestyle	0.0703538
Indianapolis	0.070245
"NL Central"	0.0701775
regatta	0.0701704
semifinal	0.0690969
"Champions Cup"	0.0687352
men's	0.0686501
"playoff game"	0.0682153
Doral	0.0681755
cup	0.0679583
postseason	0.0679359
LPGA	0.0677067
Daytona	0.0675241
"NBA Finals"	0.0674665
"Hong Kong Open"	0.0674142
"Big Sky Conference"	0.0668741
"Maurier Open"	0.066612
"Barcelona Games"	0.066495
"Champions League"	0.0662679
NCAA	0.0661436
"AFC West"	0.0658286
"Funny Car"	0.0654162
"MLS Cup"	0.0652235
Amateur	0.0646874
"East Regional"	0.0639703
Medinah	0.0639689
"Republican National Convention"	0.063811
Belmont	0.0637256
"Fiesta Bowl"	0.0633662
relay	0.0626568
Pocono	0.0625637
"NL West"	0.0622574
breaststroke	0.062104
"Stockholm Open"	0.0618659
"F.A Cup"	0.0618506
"Pro Bowl"	0.0615783
"triple crown"	0.0614604
majors	0.0614309
"NFC West"	0.0608351
"Chase Championships"	0.0608113
"Tiger Woods"	0.0607592
Brickyard	0.0606053
"Swiss Open"	0.0602006
backstroke	0.0599637
"Democratic National Convention"	0.0599514
"AFC East"	0.0597559
"Top Fuel"	0.0596344
"shot put"	0.0595115
"West Regional"	0.0594991
"Big @@"	0.0593236
"World Athletics Championships"	0.0590978
Eastbourne	0.0590511
"Kremlin Cup"	0.058936
"Central Division"	0.058887
Giro	0.0588494
"Summer Games"	0.0586675
Pac-@@	0.058517
"long jump"	0.058397
"Game @"	0.0583535
"American League West"	0.0582413
WNBA	0.0582361
"Nagano Olympics"	0.0582246
"three-day event"	0.0581831
"South Regional"	0.0580368
"Solheim Cup"	0.0579565
quarterfinal	0.0577716
tennis	0.0577624
"Academy Awards"	0.0576104
pro-am	0.0575269
"Western Conference"	0.0574642
hole	0.0572976
"Pacific Division"	0.0571341
"Roland Garros"	0.057098
"Dubai World Cup"	0.0569393
"Winter Olympics"	0.0565968
"Lipton Championships"	0.0565671
"basketball league"	0.0563352
"Big Sky"	0.056279
))
("British Opens" (desc 1659.24) (sims
"U.S. Opens"	0.338986
"PGA Championships"	0.299403
Opens	0.288436
"Ryder Cups"	0.252135
"Gold Gloves"	0.20848
"Cy Young Awards"	0.193485
"Stanley Cups"	0.192142
postseasons	0.178661
"Pulitzer Prizes"	0.171022
seasons.	0.168757
starts.	0.157983
"Final Fours"	0.154261
"All-Star Games"	0.147963
"World Cups"	0.147606
"Super Bowls"	0.140694
"Pro Bowls"	0.138552
"British Open"	0.134479
runnings	0.133287
years.	0.132572
no-decisions	0.129436
Grammys	0.119185
"Emmy Awards"	0.115322
Masters	0.114097
games.	0.113936
"PGA Championship"	0.113369
Emmys	0.113325
"Tony Awards"	0.110769
"road game"	0.10867
Tonys	0.103509
quarterfinalists	0.103072
"test match"	0.0997912
Christmases	0.099726
innings.	0.0976414
faceoffs	0.0971888
"US Open"	0.0968335
three-pointers	0.0952723
QBs	0.0942934
"major league season"	0.0930467
great-grandchildren	0.0926013
"major-league team"	0.0918018
A@@@s	0.0917309
"break of serve"	0.0916783
spacewalks	0.0911975
internationals	0.0900437
yea	0.0883581
ballgames	0.087902
Dutchmen	0.0878953
B-@s	0.0878092
baserunners	0.0873301
"No. @s"	0.0870398
"Players Championship"	0.0868529
"extra points"	0.0867396
crewmembers	0.0863459
"working day"	0.0859888
"Memorial Tournament"	0.0848672
pennant	0.0839615
bogy	0.0837659
"trading session"	0.0835746
curveballs	0.0821998
"Baby Bells"	0.0818961
"Fuzzy Zoeller"	0.0813084
par-@s	0.0805424
majors	0.0796585
"presidential term"	0.0794221
"Grammy Awards"	0.0787912
friendlies	0.0785054
"European Cup"	0.0782161
top-@@	0.0780081
"unearned run"	0.0776461
"BellSouth Classic"	0.0774218
Series.	0.076184
firsts	0.0755787
"Texas Democrats"	0.0754143
year.	0.0748058
"away game"	0.0745417
"fatal accident"	0.0744376
"Academy Awards"	0.0741488
wideouts	0.0738418
Ferraris	0.073481
"base runner"	0.0734069
takeaways	0.0732796
"day of rest"	0.0732598
"service break"	0.0723764
sherpas	0.0721048
"home game"	0.0719948
vote-getters	0.0716277
stepchildren	0.071599
Trey	0.0714433
SEZs	0.0714275
PGA	0.0711224
"first pole"	0.070896
"Dubai World Cup"	0.0707736
"London Marathon"	0.0707603
stanza	0.070742
co-defendants	0.0705395
instalment	0.0702901
tenths	0.0702091
"Nations Cup"	0.0701624
deuce	0.0699713
All-Americans	0.0693575
crewmates	0.0685894
"Purple Heart"	0.0682604
"seeded player"	0.0681107
trainload	0.0680622
TDs	0.0677276
"Louis Vuitton Cup"	0.0674847
"foul shot"	0.067448
"next six"	0.0667351
"Bay Hill"	0.0665054
"car race"	0.0663901
NLCS	0.0660616
go-round	0.0658989
"speeding ticket"	0.0658839
"U.S. Amateur"	0.0657244
Giro	0.0656146
Pillars	0.0653744
carmakers	0.0652519
"Special Economic Zones"	0.0648893
"Golden Globes"	0.0645819
"Thomas Cup"	0.0641504
"Boston Marathon"	0.0640134
guardsmen	0.0639659
Klansmen	0.0636014
no-hitter	0.0635647
"Gold Glove"	0.062723
upperclassmen	0.0622436
minicamps	0.0622369
"Mark O'Meara"	0.0620078
millennia	0.0619351
technicals	0.0619327
"Balkan Wars"	0.0618947
ex-convicts	0.0616969
"base hit"	0.0616397
"flight of stairs"	0.0615638
hostage-takers	0.061353
tranches	0.0611724
"over .@@@"	0.0610512
"NEC Invitational"	0.061017
"first six"	0.0608063
LPGA	0.0607148
Pontiacs	0.0605125
"first seven"	0.0600618
inductees	0.0598575
"running play"	0.059778
"Central American nation"	0.05958
"Subway Series"	0.0594805
"Cup Juvenile"	0.059411
near-misses	0.0591137
placers	0.0589728
"Nobel prize"	0.0589636
"first eight"	0.0589393
tacklers	0.0588617
"Scandinavian country"	0.0587768
"Preakness Stakes"	0.0587629
airmen	0.0583329
"power unit"	0.0583297
USSR	0.0581045
Concordes	0.0580964
nonwhites	0.0580939
"Champions Cup"	0.0580475
"LPGA Championship"	0.0577644
co-chairs	0.0574058
pullbacks	0.0573593
singles	0.0572972
"space walk"	0.0572646
"word of advice"	0.0571422
Bundesliga	0.0569618
groundouts	0.0568464
Stealers	0.0568152
"match point"	0.0568066
"minor-league team"	0.0567087
"Law Lords"	0.0566226
"day game"	0.0560491
E.U	0.0560344
"silver dollar"	0.0559515
by-elections	0.0557814
"Nissan Open"	0.0554432
"Winston Cup"	0.0553808
planeloads	0.0552796
governorship	0.0552393
"New York Democrats"	0.0548131
Frenchmen	0.0547775
coconspirator	0.0547296
Chevys	0.0546273
Maurier	0.0544463
"earned run"	0.0542474
"tour of duty"	0.0542387
prong	0.0541669
wicket	0.0539813
collegian	0.0537297
"Pacific Classic"	0.0533223
tourney	0.0532652
"French Grand Prix"	0.0532474
"Gold Cup"	0.0530134
"New York City Marathon"	0.052946
"European Champions Cup"	0.0529242
"Stanley Cup"	0.0528542
"European Tour"	0.0528453
"foster child"	0.0528159
tractor-trailers	0.0526212
))
("British Parliament" (desc 1972.84) (sims
"Great Hural"	0.124329
Bundestag	0.118713
"Palestinian Council"	0.117565
"Texas Senate"	0.116982
"Israeli Knesset"	0.115826
"House of Commons"	0.11446
"Texas House"	0.112083
"US House"	0.104467
"PLO Executive Committee"	0.104191
"Upper House"	0.098391
"Northern Ireland Assembly"	0.0981236
"state legislature"	0.0965026
"US Congress"	0.0961614
"Philippine Senate"	0.0960998
"Supreme Soviet"	0.0942512
DPR	0.0906065
"General Committee"	0.0891635
"European Council"	0.0891122
"European Parliament"	0.0889082
"Palestine National Council"	0.0888374
"Russian Duma"	0.0875909
"Lower House"	0.0874454
"Federation Council"	0.0871837
"Board of Supervisors"	0.087051
"Russian Parliament"	0.086903
Knesset	0.0868241
"House International Relations Committee"	0.0867197
"United States Congress"	0.0855683
NSC	0.085395
"Texas Legislature"	0.0824221
"Palestinian Legislative Council"	0.0817838
PNC	0.0803752
"Palestinian National Council"	0.0792944
"Sanctions Committee"	0.0774333
"Los Angeles City Council"	0.0767013
OCA	0.0756192
"Constitutional Assembly"	0.0753326
"House Banking Committee"	0.0735447
"Council of Europe"	0.073233
"Rules Committee"	0.0731945
"Human Rights Commission"	0.0729479
"Federal Council"	0.0728981
"CPC Central Commission for Discipline Inspection"	0.0728276
"Executive Board"	0.0721807
"Banking Committee"	0.0712108
Duma	0.0708216
"Congress Working Committee"	0.0706495
"Congressional Black Caucus"	0.0705753
"Turkish Embassy"	0.070529
"Council of Ministers"	0.0702089
PCF	0.0694036
"Ways and Means Committee"	0.0693101
"World Health Assembly"	0.0688308
"EU Commission"	0.0682724
"Russian Security Council"	0.0682239
"High Commission"	0.0680112
"Supreme Council"	0.0677679
sub-commission	0.0676431
"Provisional Ruling Council"	0.0671917
"U.N. Human Rights Commission"	0.0666938
NPC	0.0662332
"Consultative Assembly"	0.0659607
"Texas Supreme Court"	0.0658385
"State Duma"	0.0658291
"Senate Armed Services Committee"	0.0657251
"city council"	0.0656978
Majlis	0.0655089
"Senate Appropriations Committee"	0.0654961
"Israeli Cabinet"	0.0649484
"Russian State Duma"	0.0647295
"Lok Sabha"	0.0647109
government-in-exile	0.0647101
UNP	0.0646832
DAP	0.064655
DLC	0.0643384
"Indonesian Armed Forces"	0.0642063
"Royal National Theater"	0.0637776
UMNO	0.0636032
devolution	0.0633322
"United Nations Security Council"	0.0625747
"House Budget Committee"	0.0622528
"Palestinian Liberation Organization"	0.062248
"National Council"	0.0620097
"Economic and Social Council"	0.0619136
"North Atlantic Council"	0.0616045
"UN Security Council"	0.0613406
"National Gambling Impact Study Commission"	0.0610871
Lakas	0.0607953
"United States Senate"	0.0603624
"planning commission"	0.0603201
"Nevada Athletic Commission"	0.0597315
MPR	0.0595513
"National Assembly"	0.059467
CSC	0.0593074
"Ethics Commission"	0.059151
"executive council"	0.058969
"Wembley Stadium"	0.0589272
"American Bar Association"	0.0587717
"Provisional Legislative Council"	0.0583012
"Public Service Commission"	0.0579835
MRTA	0.05788
ITTF	0.0578616
CWC	0.0578301
JMC	0.0577813
"House Appropriations Committee"	0.0577444
"House Commerce Committee"	0.0577414
"Senate Finance Committee"	0.0577001
"U.N. Sanctions Committee"	0.0576472
"House of Lords"	0.0575223
Mensa	0.0574731
"Millennium Dome"	0.0574467
"Monetary Policy Committee"	0.057391
PECC	0.0573364
"National Research Council"	0.0572938
CMAG	0.057242
"South Pacific Forum"	0.0572395
"US Senate"	0.0572255
"Australian Cricket Board"	0.057192
ESCAP	0.0569599
UPU	0.056573
"Ninth CPPCC National Committee"	0.0564764
"control board"	0.0564491
"Federal Assembly"	0.0564004
"Foreign Relations Committee"	0.056339
"United National Party"	0.0562224
"Commission on Human Rights"	0.0558783
"Academy of Motion Picture Arts"	0.0555698
"International Olympic Committee"	0.0555517
"Executive Committee"	0.0555499
AmCham	0.0551582
"Heathrow Airport"	0.0550041
CalPERS	0.0547489
"board of regents"	0.0546262
APA	0.0545156
RNC	0.0543337
"Asia-Europe Meeting"	0.0541906
KPU	0.0540636
"CPPCC National Committee"	0.0536393
"Eighth National Committee"	0.0534981
LDP	0.0533527
plc	0.0533118
"Republican House"	0.0532924
"legislative assembly"	0.0532219
ASEM	0.0531431
"board of education"	0.0531151
"Organization of Islamic Conference"	0.0528641
"U.N. Millennium Summit"	0.0528609
"Central Organ"	0.0528409
"British Museum"	0.0528355
"armed service"	0.0527695
CPPCC	0.052586
FRELIMO	0.0524927
"Appropriations Committee"	0.0522987
"legislative council"	0.0522785
"secret society"	0.0522119
DPP	0.052211
"Senate Commerce Committee"	0.0522099
"legal community"	0.0519943
"Central Council"	0.051907
"Chinese Olympic Committee"	0.0517964
CPV	0.0516452
CMC	0.0514787
"House GOP"	0.0513106
CAF	0.0512937
"member nation"	0.051291
EPR	0.0511802
Opry	0.0511711
"school board"	0.0507991
"Aum Shinrikyo"	0.0507888
"Chinese Communist Party"	0.050735
"Royal Shakespeare Company"	0.0507189
"jockey club"	0.0505788
"Royal Opera House"	0.0505615
SDP	0.0505574
"Congress Standing Committee"	0.050352
"Church of Jesus Christ of Latter-day Saints"	0.050336
SDS	0.050268
"Westminster Abbey"	0.0501902
"Nevada State Athletic Commission"	0.0500737
"Election Committee"	0.049987
OIC	0.049889
"Sino-British Joint Liaison Group"	0.0497828
"Likud Party"	0.0494435
"National Committee"	0.0494389
"Network Solutions"	0.0494012
Commons	0.0493368
Zanu-pf	0.0493252
"Eighth NPC"	0.0492829
"Tate Gallery"	0.0492255
"Myanmar Embassy"	0.0492175
"Commerce Committee"	0.0492053
"NPC Standing Committee"	0.0491776
"Colorado Party"	0.0491612
Teresi	0.0490875
eco	0.0489182
"Congress (NPC) Standing Committee"	0.048868
"finance committee"	0.0487612
WEU	0.0486183
"human race"	0.0482465
"International Maritime Organization"	0.0482351
))
("British people" (desc 753.605) (sims
Quebecers	0.165598
Chicagoans	0.148926
"American Jews"	0.130101
"French people"	0.128454
Ohioan	0.115397
Ecuadoreans	0.111423
registrant	0.111042
"New Jerseyans"	0.109356
Beijingers	0.107532
Basques	0.0999871
"South Carolinian"	0.0992936
"Cuban Americans"	0.0854032
Peruvian	0.0826677
"New York Republicans"	0.0807287
"New Zealander"	0.0790109
policyholder	0.0788206
mainlanders	0.0787141
eighth-graders	0.0781112
adoptees	0.0772413
Missourian	0.075965
Angelenos	0.075573
Chinese-Indonesians	0.0748458
Minnesotan	0.074566
"dog bite"	0.0734555
"San Franciscans"	0.0730829
Tibetans	0.072332
Floridian	0.0718532
carjackings	0.0713878
"North Carolinian"	0.0712979
"Member States"	0.071103
"monarch butterfly"	0.0710152
non-Social	0.0695906
"African Americans"	0.0695559
examinees	0.0694667
"Texas Democrats"	0.0693964
noncitizens	0.0691831
self-preservation	0.0688335
"New Englander"	0.0686835
"South Koreans"	0.0677032
Hawaiians	0.0675419
"Asian Americans"	0.0660055
Vermonter	0.0656774
homebuyers	0.0656176
"Hispanic American"	0.0652324
Arizonan	0.06447
diabetic	0.0643297
Montenegrins	0.0642067
non-Jew	0.064116
interviewee	0.0639902
"beer drinker"	0.063306
"minority shareholder"	0.0630613
theatergoer	0.06291
centenarian	0.0628971
Bolivian	0.0628637
Honduran	0.0625365
"waiting game"	0.0622882
dieters	0.0620667
payer	0.0615488
Londoner	0.0614909
Muscovite	0.0614717
Lecter	0.0609207
Iowan	0.0608018
probationer	0.0602769
Asian-Americans	0.0600234
litigant	0.0598935
drownings	0.0598806
Bighorn	0.0598363
"card holder"	0.0596561
holidaymaker	0.0595816
"Sri Lankans"	0.0595173
elector	0.0594514
hamster	0.0591805
"wage earner"	0.0589062
Virginian	0.0587526
"currency trader"	0.0587259
Ukrainians	0.0583149
townsfolk	0.057877
churchgoer	0.05745
enlistee	0.0561683
citizenry	0.0557923
parolee	0.0554221
test-takers	0.0541334
farmworkers	0.0540981
Alonzo	0.0537457
"market participant"	0.0533725
Latvians	0.0531551
Almighty	0.0530762
Atlantans	0.0529491
part-timer	0.0528177
"talent scout"	0.052491
killed	0.0522055
filmgoers	0.0517712
job-seekers	0.0514491
"East German"	0.0513889
Kansan	0.0509444
"small farmer"	0.0508434
Chinese-Americans	0.0502048
Easterner	0.050061
"common people"	0.049929
franchisees	0.0497667
inpatient	0.0496921
adherent	0.0495708
Fijian	0.0493228
Washingtonian	0.0492699
nonsmoker	0.0492098
"Nevada State Athletic Commission"	0.0490424
nonprofits	0.0490275
"music lover"	0.0487601
ifs	0.0485869
Bosnians	0.0482775
taker	0.0481674
roaster	0.0481144
"business establishment"	0.0481026
"Official Development Assistance"	0.0477738
cantons	0.0475336
filers	0.047438
fourth-graders	0.0473939
"European Jews"	0.0467068
"Bernie Ecclestone"	0.0464354
bondholder	0.0461611
"blue crab"	0.045861
"take-home pay"	0.0454643
non-Muslims	0.045396
Sinhalese	0.0450387
sportsmen	0.0449854
"mountain gorilla"	0.0448964
"Mitsubishi Motors"	0.0448458
Anglos	0.0448411
"sea horse"	0.0446052
"cash machine"	0.0445075
"temporary worker"	0.0441595
"Northwest Territories"	0.0439866
Lightyear	0.0439693
OFWs	0.0438695
Paraguayan	0.0435722
Afrikaner	0.0435246
"Olympic Council of Asia"	0.0435004
"Kosovo Serbs"	0.043189
firsts	0.0430874
Slovaks	0.0428988
"Southern Baptists"	0.042661
"market watcher"	0.0426382
Ghanaians	0.0425877
"King David"	0.0425475
laid-offs	0.0425235
enrollee	0.0422077
"dairy cow"	0.0421294
McEwan	0.0421093
"graduating class"	0.0421084
cognoscenti	0.0419482
"heroin addict"	0.0417299
urbanites	0.0416403
zloty	0.0416027
"House Republicans"	0.0415781
earthwork	0.0415294
Mexican-Americans	0.0412344
ADP	0.0410176
"loan application"	0.0410042
Maori	0.0408453
"Albanian Kosovars"	0.0408287
clinician	0.0407171
transnationals	0.040687
taster	0.0406133
Episcopalian	0.0404518
"viewing audience"	0.0404042
"right whale"	0.0402702
oddsmakers	0.0401085
))
("British Petroleum" (desc 4782.45) (sims
BP	0.265211
"BP Amoco"	0.249466
Mobil	0.238848
Texaco	0.236693
Exxon	0.231096
Chevron	0.224312
Amoco	0.200173
Agip	0.1667
UNOCAL	0.166162
Esso	0.153867
"Royal Dutch/Shell"	0.149948
ARCO	0.141786
Caltex	0.141393
Conoco	0.136037
"Tribune Co."	0.129001
NationsBank	0.124193
Daimler-Benz	0.123707
Elf	0.122067
McKesson	0.120057
"National Grid"	0.119066
Norwest	0.118723
"WorldCom Inc."	0.116607
WorldCom	0.116029
"Deutsche Bank AG"	0.115569
Dupont	0.113467
Pennzoil	0.111663
Vivendi	0.110269
Publicis	0.108607
Viacom	0.106185
REPSOL	0.105681
Alcan	0.105386
"America Online Inc."	0.104043
Aegon	0.102985
"Bell Atlantic"	0.102338
"Ford Motor"	0.101709
"Hearst Corp."	0.101191
"Bell Atlantic Corp."	0.100103
"Dow Chemical"	0.0998868
"Deutsche Bank"	0.0995861
Federated	0.0984154
"SBC Communications"	0.098309
"Exxon Corp."	0.0980576
"British Telecom"	0.0978286
"General Electric"	0.097574
Hoechst	0.0964779
"Deutsche Telekom"	0.096421
"MCI WorldCom"	0.0949881
"Bank of Scotland"	0.0931507
Lockheed	0.0923778
Citicorp	0.0922418
"Union Pacific"	0.0920296
"Burlington Northern"	0.0919794
Litton	0.0919184
Daimler	0.091857
"SBC Communications Inc."	0.0914467
Bertelsmann	0.0911805
Olivetti	0.0905872
Renault	0.0904953
"Chrysler Corp."	0.0893132
"Exxon Mobil"	0.0889468
"Credit Suisse"	0.0883517
Vodafone	0.0881519
AIG	0.0881426
SmithKline	0.0881132
BankAmerica	0.0869931
Starwood	0.0868488
BBDO	0.0865455
Georgia-Pacific	0.0856984
"ELF AQUITAINE"	0.0854632
Deutsche	0.085413
"Ford Motor Co."	0.0852494
Aetna	0.0851998
"France Telecom"	0.084915
Eni	0.0847399
Siemens	0.0846372
Pepsico	0.0845722
"Sara Lee"	0.0845396
Unilever	0.0844932
Monsanto	0.0835924
Cablevision	0.0835645
"Reed Elsevier"	0.0832079
"GE Capital"	0.0828646
Healtheon	0.0828309
"Global Crossing"	0.0827305
WPP	0.0826414
SBC	0.0822497
Astra	0.0819745
LVMH	0.0819194
Westinghouse	0.0818707
Enron	0.081852
Qwest	0.0818502
Statoil	0.0812624
"Nigerian National Petroleum Corporation"	0.081031
"Time Warner"	0.0810034
PTT	0.0807471
CNOOC	0.0801745
"Bankers Trust Corp."	0.0797622
Bechtel	0.0796741
"USA Networks"	0.0796665
"Travelers Group"	0.0796606
"Walt Disney Co."	0.0796267
Cargill	0.0795956
UAL	0.079438
"Texaco Inc."	0.0793937
Exxon-Mobil	0.0792308
Ameritech	0.0790985
Seagram	0.0790359
"Thermo Electron"	0.0789949
AMR	0.0787517
"Du Pont"	0.0784935
"British Aerospace"	0.0784846
"Cox Communications"	0.0779284
"Aetna Inc."	0.0771953
"Hongkong Telecom"	0.0771365
"Royal Bank"	0.0770441
"Wal-Mart Stores"	0.0769761
"Lycos Inc."	0.0767384
"American Home Products"	0.0765842
Lukoil	0.0765511
"American Home Products Corp."	0.0763919
Honeywell	0.0763243
MCI	0.0762066
Bayer	0.075925
"News Corp."	0.0758959
Comcast	0.0758013
"General Motors"	0.075704
"UAL Corp."	0.0756625
"Daimler-Benz AG"	0.075638
Merck	0.0755794
"Northeast Utilities"	0.0751027
Nortel	0.075026
ING	0.0747655
ATHOME	0.0747384
BSKyB	0.0745832
"Park Place"	0.0743715
UBS	0.0741984
"America Online"	0.0741983
Clorox	0.0739824
NORTHROP	0.0738195
"Vodafone AirTouch"	0.0735856
Compaq	0.0734484
"Coca Cola"	0.0731029
Chrysler	0.0730557
"Chevron Corp."	0.0729692
"Lockheed Martin"	0.0726866
"Times Mirror"	0.0725694
HSBC	0.07248
TYCO	0.0724
"Time Inc."	0.0723999
Hearst	0.0722892
"NationsBank Corp."	0.0722476
"Phelps Dodge"	0.0721441
"Telecom Italia"	0.0721062
SFX	0.072063
"US West"	0.0719935
Ahold	0.0717258
"United Parcel Service"	0.0715516
"Y&AMP;R"	0.0715421
Coca-Cola	0.0715375
"Boston Scientific"	0.0711699
Warner-Lambert	0.0709786
"Sprint Corp."	0.0709259
"U S West"	0.0708093
Corning	0.0706507
Mannesmann	0.0705906
"Silicon Graphics"	0.070519
Alcoa	0.0705045
MindSpring	0.0704674
CMGI	0.0703948
NiSource	0.0702556
Asda	0.0701774
Motorola	0.0701259
GANNETT	0.070081
Halliburton	0.0700754
"Atlantic Richfield"	0.069819
LIFFE	0.0693267
"American Home"	0.0691657
EMI	0.0691531
"International Paper"	0.0690482
GEC	0.068737
Petronas	0.0683789
"Wells Fargo"	0.068142
Cadbury	0.0679187
"CMGI Inc."	0.0677038
GTE	0.0676399
"United Airlines"	0.0673976
"Mattel Inc."	0.0673678
"BankAmerica Corp."	0.0673613
Raytheon	0.0673497
Hasbro	0.0671528
NTL	0.0670054
Citigroup	0.0669868
"Lockheed Martin Corp."	0.066979
"American Express"	0.0668569
"Bell South"	0.0668469
YankeeNets	0.0665875
Citibank	0.0665566
"New York Times Co."	0.0665325
McCaw	0.0664682
BofA	0.0660408
))
("British pound" (desc 5116.64) (sims
"pound sterling"	0.378381
"Swiss franc"	0.280911
"French franc"	0.175177
"Australian dollar"	0.171692
yen	0.167077
"US dollar"	0.15696
lire	0.149489
greenback	0.1492
Euro	0.147406
sterling	0.145574
"Philippine peso"	0.129422
"Deutsche Mark"	0.129404
"Canadian dollar"	0.1276
"New Zealand dollar"	0.124752
"Shanghai Composite Index"	0.118173
franc	0.112655
sharemarket	0.109318
"Singapore dollar"	0.107345
"Hong Kong dollar"	0.106919
peso	0.0995705
"bond price"	0.0974578
yuan	0.09466
rupiah	0.0940704
rand	0.0925008
"South Korean won"	0.0885839
Renminbi	0.088088
baht	0.0865469
rupee	0.0856998
"Mexican peso"	0.0803672
Stocks	0.0786135
Naira	0.0783911
taka	0.077986
"Straits Times Industrials Index"	0.0771026
"Kenyan shilling"	0.0765717
"Straits Times Index"	0.0764497
Nikkei	0.0761727
ringgit	0.0757971
"oil price"	0.0756867
shilling	0.0747363
euros	0.0734661
"FTSE @@@"	0.0719717
sucre	0.0704218
"United States dollar"	0.070413
"Commonwealth Bank"	0.0701471
Kwacha	0.0697259
"Xetra Dax"	0.0687083
rial	0.0679081
"CAC @@"	0.0675802
"Zimbabwean dollar"	0.0672877
"Nikkei Stock Average"	0.0671546
"Kuala Lumpur Stock Exchange"	0.0653634
won	0.0649042
"blue-chip stock"	0.063539
"Philippine Stock Exchange Index"	0.0631599
BSE-@@@	0.0629183
"Wireless Optus"	0.0624187
ruble	0.0614308
lev	0.0602202
"Industrial Index"	0.0590858
"Second Board Index"	0.0587137
dinar	0.0584826
zloty	0.0572527
"Tokyo Stock Price Index"	0.0571285
"Commonwealth Bank of Australia"	0.0571075
leu	0.0561577
"funds rate"	0.0545092
"Hang Seng Index"	0.0544477
"exchange rate"	0.0536637
DAX	0.0528022
lira	0.0525536
"Treasury bond"	0.0522411
bullion	0.052101
"Composite Index"	0.0520469
kwanza	0.0515243
"Emas Index"	0.0515114
Bovespa	0.051064
"futures price"	0.0505728
CAC-@@	0.0500563
Westpac	0.0496806
"mortgage rate"	0.0488807
"unemployment rate"	0.048539
"bond market"	0.048259
"Lion Nathan"	0.0481782
industrials	0.0476267
"retail sale"	0.04758
"Joint Liaison Group"	0.0473316
Dong	0.0472838
CAC	0.0469935
"production cost"	0.0468368
"home sale"	0.046768
"Kuwait Stock Exchange"	0.0466515
"price index"	0.0464604
Lari	0.0457528
"labor cost"	0.0455888
"Dow Jones Industrial Average"	0.0453266
"vehicle sale"	0.0451581
sub-index	0.044562
"National Australia Bank"	0.0444875
ANZ	0.0442967
Orders	0.0442639
STI	0.0441979
RMB	0.0438646
"net income"	0.0436661
"rate of inflation"	0.0422333
metical	0.0420975
"Air New Zealand"	0.0420872
"equity market"	0.041341
Bourse	0.041276
"consumer price index"	0.0407528
"net profit"	0.0406253
))
("British Telecom" (desc 2485.48) (sims
"British Telecommunications"	0.292617
"Bell Atlantic Corp."	0.179158
"Vodafone AirTouch"	0.15525
KPN	0.154763
SBC	0.153646
"France Telecom"	0.153174
WorldCom	0.152393
"Bell Atlantic"	0.148471
"News Corp."	0.14717
BellSouth	0.144114
"Cable &AMP; Wireless"	0.141027
SmithKline	0.140387
"MCI WorldCom"	0.137608
"SBC Communications"	0.131749
Vodafone	0.130778
"Deutsche Telekom"	0.12907
"Sprint Corp."	0.124973
"Times Co."	0.123172
GTE	0.122328
Comcast	0.120102
MCI	0.12006
Ameritech	0.119629
"USA Networks"	0.118019
SkyTel	0.116534
"Tele-Communications Inc."	0.116082
"Sprint PCS"	0.115781
"MCI Worldcom Inc."	0.114785
"WorldCom Inc."	0.11252
"BP Amoco"	0.111837
"Global Crossing"	0.109524
"Deutsche Bank AG"	0.107846
Airtouch	0.10711
"U S West"	0.107006
AMR	0.106769
"National Grid"	0.105811
Bertelsmann	0.104288
NTT	0.103077
"Ford Motor Co."	0.101795
TCI	0.101562
Vivendi	0.101289
Siemens	0.0998011
Telefonica	0.0997663
"MindSpring Enterprises"	0.0996044
Texaco	0.0994789
"Time Warner Inc."	0.0993397
Qwest	0.0991095
"Ford Motor Company"	0.0988075
Verizon	0.0981459
"British Petroleum"	0.0978286
"US West"	0.0977559
"Time Warner"	0.0971781
"Dow Chemical"	0.0970703
"Lucent Technologies"	0.0970283
Lucent	0.0969695
"Baby Bells"	0.0969275
Mediaone	0.0960447
"Travelers Group"	0.0959373
"IBM Corp."	0.095693
Daimler	0.0955469
"American Express"	0.095528
"GE Capital"	0.0955102
ARCO	0.095214
"American International Group"	0.0944628
Glaxo	0.09432
AIG	0.0943111
"Telecom Italia"	0.094012
"Con Edison"	0.0939082
Mobil	0.0936661
"T Corp."	0.0934068
Dupont	0.0932419
"Chevron Corp."	0.093146
Ericsson	0.0927431
"Cendant Corp."	0.0923231
"America Online"	0.0923008
ExciteAtHome	0.0921649
MindSpring	0.0920923
Nextel	0.0919896
"British Aerospace"	0.0919856
McKesson	0.0918739
Citigroup	0.0918062
Aventis	0.0915008
"Y&AMP;R"	0.0912849
"Singapore Airlines"	0.0905375
"Boston Scientific"	0.0904998
"General Electric"	0.090221
"JDS Uniphase"	0.0899714
Sumitomo	0.0891278
"Exxon Mobil"	0.08865
Motorola	0.0885022
"Sara Lee"	0.0884
Nortel	0.0878524
YankeeNets	0.0878515
HSBC	0.0877811
"Delta Airlines"	0.0877735
Lycos	0.0875815
EMI	0.0875235
"HBO &AMP; Co."	0.087395
BankAmerica	0.0869786
"Bank of Scotland"	0.0867192
Conoco	0.0865677
"Siemens AG"	0.0863777
Softbank	0.0861501
Comsat	0.0858817
"Deutsche Bank"	0.085726
"United Technologies"	0.0856843
"GTE Corp."	0.0855898
IBM	0.085014
Terra	0.0847024
Federated	0.0845567
WPP	0.0843445
"Cisco Systems"	0.0840877
"Nippon Telegraph"	0.0840658
"Delta Air Lines"	0.0840057
BP	0.083886
Chevron	0.0837457
"Berkshire Hathaway"	0.0835001
Qualcomm	0.0834909
"Pac Bell"	0.0830636
CMGI	0.0829939
"Comcast Corp."	0.08296
"Tribune Co."	0.0826529
Exxon	0.0825952
DaimlerChrysler	0.0825872
Alcatel	0.0823766
"Sun Microsystems Inc."	0.0821916
"Texas Instruments"	0.0821559
Bristol-Myers	0.0817864
Norwest	0.0817469
"Intel Corp."	0.0816381
Healtheon	0.0815378
"Johnson &AMP; Johnson"	0.0813629
Litton	0.0811506
"AOL Time Warner"	0.0809883
Cablevision	0.0807484
Telstra	0.0805529
Aegon	0.0804303
EarthLink	0.0804245
Pfizer	0.0801654
"phone company"	0.0801545
"Sun Microsystems"	0.0799413
RJR	0.0798944
"Viacom Inc."	0.0797764
"Compaq Computer"	0.0795525
Compaq	0.0794771
"Exxon Corp."	0.0794128
"Bertelsmann AG"	0.0791905
Citibank	0.07916
"Apple Computer"	0.0791252
"Southwestern Bell"	0.0790045
"Lucent Technologies Inc."	0.0789506
"Walt Disney Co."	0.0788464
KLM	0.0786523
"International Business Machines Corp."	0.0785754
"Motorola Inc."	0.0785103
IMG	0.0782385
"U.S. Trust"	0.0778884
"Fleet Financial Group"	0.0776284
Telecom	0.077553
Schlumberger	0.0773443
Fujitsu	0.0770774
"Bank of America"	0.0769219
"AMR Corp."	0.0768102
"General Motors Corp."	0.0767718
"Philip Morris"	0.0767611
Cisco	0.0766599
"Charles Schwab"	0.0766263
"BellSouth Corp."	0.0765232
Genzyme	0.0764905
Novell	0.0763892
AOL	0.0762311
"telephone company"	0.0762184
"Mattel Inc."	0.0761636
"Silicon Graphics"	0.0759691
GANNETT	0.0758985
"Royal Bank"	0.0758559
"Southern Co."	0.0757394
"Atlantic Richfield"	0.0757232
SDL	0.0756337
Cadbury	0.0755854
Viacom	0.0755835
Corel	0.0754839
"Glaxo Wellcome"	0.0754316
"Chase Manhattan"	0.0753624
Vulcan	0.0752263
REPSOL	0.0752204
"First Union"	0.0751859
"Coca-Cola Co."	0.0751539
Renault	0.0751218
Telmex	0.0751068
"HSBC Holdings"	0.0749649
"General Motors"	0.0748238
Intuit	0.0747909
"Cox Communications"	0.0747791
Honeywell	0.0745857
"Learning Co."	0.0745266
Medtronic	0.0745257
"SmithKline Beecham"	0.0743102
"Hughes Electronics"	0.0741926
"cable operator"	0.0741157
"America Online Inc."	0.0741132
))
("British Telecommunications" (desc 1886.16) (sims
"British Telecom"	0.292617
"Bell Atlantic Corp."	0.194545
"MCI Worldcom Inc."	0.163953
"Vodafone AirTouch"	0.152712
"SBC Communications"	0.142356
"Sprint Corp."	0.132558
"Bell Atlantic"	0.130188
WorldCom	0.126575
"France Telecom"	0.118745
"Baby Bells"	0.115333
"Sprint PCS"	0.114178
"Deutsche Telekom"	0.112821
"Lucent Technologies Inc."	0.111329
Airtouch	0.103829
Vodafone	0.0999063
"International Business Machines Corp."	0.0988933
"MCI WorldCom"	0.0948315
Telefonica	0.0946634
NTT	0.0938568
"Deutsche Bank AG"	0.0926844
BellSouth	0.0913166
Vivendi	0.0907017
SBC	0.0904454
"America Online Inc."	0.0894889
GTE	0.0891453
"Comcast Corp."	0.087366
"Lucent Technologies"	0.0866607
Lucent	0.085517
Ameritech	0.0851461
"News Corp."	0.0844023
"Tele-Communications Inc."	0.0841454
"Canal Plus"	0.0834529
MCI	0.0834232
KPN	0.0824608
Fujitsu	0.082168
"Time Warner Inc."	0.0806608
"Bertelsmann AG"	0.0806455
"Ameritech Corp."	0.0803437
"MCI Communications Corp."	0.0795528
"WorldCom Inc."	0.0782367
"cable operator"	0.0772374
"Telecom Italia"	0.0770939
"Global Crossing"	0.0769584
"GTE Corp."	0.0757821
"Nippon Telegraph"	0.0757806
ExciteAtHome	0.0748115
Qwest	0.0744295
"BellSouth Corp."	0.0737468
TCI	0.0708788
Ericsson	0.0705096
VEBA	0.0704132
Alcatel	0.0693892
sub-index	0.0693785
"American Home Products Corp."	0.0692601
"Toshiba Corp."	0.0686639
"Lotus Development Corp."	0.0682224
"Motorola Inc."	0.0681566
Mannesmann	0.068019
Mediaone	0.067651
Comcast	0.0672615
"Sun Microsystems Inc."	0.067212
Siemens	0.0667751
Psion	0.0655572
Motorola	0.064849
Aventis	0.0641185
Verizon	0.0634921
"BP Amoco"	0.0628873
"Travelers Group"	0.0621481
"British government"	0.0612746
"IBM Corp."	0.0608902
"Qualcomm Inc."	0.0608622
TELLABS	0.0606666
"U S West"	0.0603624
"American Express"	0.0600357
WebMD	0.0598293
"Ford Motor Co."	0.0596338
Sumitomo	0.0594682
Bertelsmann	0.0588859
"National Grid"	0.0587671
"U.S. Administration"	0.0582594
"USA Networks"	0.0579892
CAC-@@	0.0577315
Citigroup	0.0576232
"Vodafone Airtouch PLC"	0.0574788
CMGI	0.0573342
"Cisco Systems"	0.0570229
"Siemens AG"	0.0566572
KLM	0.0561721
"Sun Microsystems"	0.0558351
Wenger	0.055386
"Mannesmann AG"	0.0553329
"Ford Motor Company"	0.0552402
Allianz	0.054823
CompUSA	0.0546119
"International Paper"	0.0541626
Bristol-Myers	0.0541485
"Intel Corp."	0.0537001
PTT	0.0534739
"London Stock Exchange"	0.0534183
Railtrack	0.0533748
Qualcomm	0.0533164
"Pac Bell"	0.0531844
RAMBUS	0.0531317
Bovespa	0.0528343
"Delta Air Lines"	0.0527409
"Texas Instruments"	0.0524805
"Nikkei Stock Average"	0.0524701
"Eastman Kodak Co."	0.0522588
"General Electric"	0.051985
"ELF AQUITAINE"	0.0518578
EMI	0.0516155
Ansett	0.0511612
"SBC Communications Inc."	0.0508764
"Pacific Century Cyberworks"	0.0508687
Immunex	0.0508181
"Court TV"	0.0507231
"Pacific Bell"	0.0501997
"British Petroleum"	0.0501922
"Bristol-Myers Squibb"	0.049912
"International Management Group"	0.0496965
Dupont	0.0496552
"Cox Communications"	0.0491044
YankeeNets	0.0489979
"First Union Corp."	0.0488263
"United Airlines"	0.0487078
Aeromexico	0.0485697
MindSpring	0.0485564
"Delta Airlines"	0.0484625
RealNetworks	0.0484199
"Commonwealth Bank of Australia"	0.0481738
"Straits Times Index"	0.048081
Nokia	0.047806
Cablevision	0.047747
Barclays	0.0476899
"Procter &AMP; Gamble"	0.0475544
LTCB	0.0474251
"Vivendi SA"	0.0471638
"Daimler-Benz AG"	0.0469942
"Air China"	0.0469913
Vulcan	0.0469438
"Apple Computer Inc."	0.0467752
Grosjean	0.0466891
"Northern Telecom"	0.0465791
"Xetra Dax"	0.0460895
NCEC	0.0459999
"Carl Icahn"	0.0459511
"Air France"	0.0457306
Mobil	0.0457055
"Cisco Systems Inc."	0.0457027
"GE Capital"	0.0456277
"Cable &AMP; Wireless"	0.0456042
Huizenga	0.0455818
Exxon	0.0453042
Arista	0.0452769
"Bell South"	0.0452469
Chevron	0.0450966
Roadrunner	0.0450891
HSBC	0.0449627
"Wireless HKT"	0.0449206
"CAC @@"	0.0448797
"Glaxo Wellcome"	0.0448704
"Miramax Films"	0.0448059
PSINet	0.0446968
Netcom	0.0446319
Esser	0.0446258
Daimler-Benz	0.0445943
Lockwood	0.0445421
Daimler	0.0445359
"United Auto Workers"	0.0445352
"Chrysler Corp."	0.0443915
"Con Edison"	0.0443364
"Daimlerchrysler AG"	0.0442566
SkyTel	0.0442215
"Rio Tinto"	0.0440851
"Defense William Cohen"	0.0440582
EBRD	0.0439955
"Singapore Airlines"	0.0439704
"Federal Communications Commission"	0.0435817
Colgate-Palmolive	0.0435311
Kodak	0.0434251
Norwest	0.0433909
"Philippine Stock Exchange Index"	0.043354
"US West"	0.0430825
"Coca Cola"	0.0430568
ENTREMED	0.0428801
Warner-Lambert	0.0428277
Alitalia	0.0428134
"CMGI Inc."	0.0428093
Stronach	0.0427219
"NationsBank Corp."	0.0427171
"MediaOne Group"	0.042578
"Smith &AMP; Wesson"	0.0424805
Konka	0.0423103
AUM	0.0420678
"General Motors Corp."	0.042049
"International Badminton Federation"	0.0419731
"American Home Products"	0.0419576
FT-SE	0.0418676
Havelange	0.041862
"Malaysia Airlines"	0.0417762
))
("British Virgin Islands" (desc 1907.77) (sims
"Cayman Islands"	0.135524
Bahamas	0.130604
"Cook Islands"	0.103609
"Virgin Islands"	0.101153
Bermuda	0.0918369
"U.S. Virgin Islands"	0.0812388
Belize	0.0804089
Antigua	0.0727798
Guam	0.0722204
Labuan	0.0714219
"Netherlands Antilles"	0.0687781
"Channel Islands"	0.0634691
"St. Lucia"	0.0620017
"San Rafael"	0.0561221
Burlingame	0.0559561
"Trinidad and Tobago"	0.0551933
"Palm Beach Gardens"	0.0543086
Barbados	0.0542348
"St. Kitts"	0.053845
curacao	0.0528736
Reston	0.052833
Naperville	0.0517193
"Redwood City"	0.0509575
Winston-Salem	0.0505427
"East Orange"	0.0496992
"St. Maarten"	0.0495603
Herndon	0.0472676
Alpharetta	0.0472116
"Pudong New Area"	0.0471332
Englewood	0.0471049
"Round Rock"	0.0470072
"Silver Spring"	0.046881
"British Opens"	0.0467594
Emeryville	0.0466873
cayman	0.0465863
Uniondale	0.0465561
Zhongguancun	0.0460689
Sunnyvale	0.0459443
Sausalito	0.0459104
"Brooklyn Heights"	0.0444477
Liechtenstein	0.0442591
Missoula	0.0440878
Andover	0.0439298
"Great Neck"	0.0438178
"Westlake Village"	0.043035
"Suzhou Industrial Park"	0.0427685
Morristown	0.0426354
"Hilton Head"	0.042147
Provo	0.0420291
Needham	0.0418672
Carmel	0.0415064
"Canary Islands"	0.0413468
Calabasas	0.0412641
Deerfield	0.0412475
Bradenton	0.0411686
"Boynton Beach"	0.04107
Azerbaijani	0.0410687
Tarrytown	0.0408184
Hispaniola	0.0404484
Basle	0.0403773
"Chapel Hill"	0.040285
"previous @@ months"	0.0401779
Dearborn	0.0400783
Salisbury	0.0400226
"Research Triangle Park"	0.0400006
))
(BRITNEY (desc 1606.4) (sims
"Britney Spears"	0.119917
Spears	0.0898479
"Backstreet Boys"	0.0817183
"GI Joe"	0.0704084
Furby	0.0676916
"N Sync"	0.0618804
FloJo	0.0585923
Teletubbies	0.0550386
Barbie	0.0545308
Blanchett	0.0533681
Sept	0.0519976
"Spice Girls"	0.0513154
"Ricky Martin"	0.0512085
Ken	0.0505063
Hopi	0.0504727
Barney	0.0488143
Bocelli	0.0483767
COACHES	0.0483135
Beatle	0.0473736
"morse code"	0.0469847
Springsteen	0.0469081
"Hello Kitty"	0.0466331
"Phil Collins"	0.0466186
"Limp Bizkit"	0.0464267
Hartman	0.0459008
Hamed	0.045765
FAIRCLOTH	0.0454797
piggy	0.0454545
Pryor	0.0449302
Streisand	0.0445679
"Ford Focus"	0.0440609
"grim reaper"	0.0435676
"International Herald Tribune"	0.0435601
"Love Bug"	0.0433768
Casanova	0.0432868
"Kid Rock"	0.0432702
Smitherman	0.0430881
"LeAnn Rimes"	0.0423823
whomever	0.0420085
"Billy Joel"	0.041682
Eminem	0.0412479
"margin call"	0.0412163
"Austin Powers"	0.0411981
whichever	0.0410987
X-MEN	0.0407116
Gnutella	0.0406997
"Little Dog"	0.040693
Checchi	0.0405973
Julie	0.0401066
Clapton	0.0400923
))
("Britney Spears" (desc 8924.53) (sims
"N Sync"	0.235403
"Ricky Martin"	0.228599
"Christina Aguilera"	0.227745
"Backstreet Boys"	0.197354
"Mariah Carey"	0.195369
"Celine Dion"	0.182546
"Marc Anthony"	0.175578
"Shania Twain"	0.171327
Spears	0.152653
"Jennifer Lopez"	0.15028
"Whitney Houston"	0.147626
"Phil Collins"	0.147303
"Kid Rock"	0.146423
"GLORIA ESTEFAN"	0.145799
"LeAnn Rimes"	0.141404
Cher	0.138854
"Lauryn Hill"	0.138271
"Andrea Bocelli"	0.135715
"Macy Gray"	0.131012
"Toni Braxton"	0.128809
"Elton John"	0.128573
BRITNEY	0.119917
"George Michael"	0.117844
"Spice Girls"	0.117236
Eminem	0.115332
"Eric Clapton"	0.114327
"Lenny Kravitz"	0.11379
TLC	0.112974
"Janet Jackson"	0.11282
"Tina Turner"	0.11014
"Limp Bizkit"	0.109725
"Alanis Morissette"	0.108775
"Enrique Iglesias"	0.106894
"Puff Daddy"	0.10651
"Sheryl Crow"	0.105493
"Garth Brooks"	0.102809
brandy	0.102556
"Dixie Chicks"	0.0994089
"Wyclef Jean"	0.0989987
"Sarah McLachlan"	0.0986891
"Michael Bolton"	0.0974196
"Dave Matthews Band"	0.0969293
Madonna	0.0960975
"Aretha Franklin"	0.0944725
Santana	0.092777
"Diana Ross"	0.0909851
"Barbra Streisand"	0.0874956
Jay-Z	0.0857353
Bjork	0.0854496
"Frank Sinatra"	0.084319
Metallica	0.0829938
"Diana Krall"	0.0821202
"Billy Joel"	0.0817
Selena	0.080615
D'Angelo	0.0805297
"Marilyn Manson"	0.0801691
"Beastie Boys"	0.0786037
"Michael Jackson"	0.0780156
Babyface	0.0774853
"Busta Rhymes"	0.0771807
"Jimmy Buffett"	0.0754679
"Leonardo DiCaprio"	0.0749982
"Jo Dee Messina"	0.0731811
"Audra McDonald"	0.0723487
"Keri Russell"	0.0722685
"Will Smith"	0.0719772
"Paul Simon"	0.0718845
"Cindy Crawford"	0.0716984
"Kirk Franklin"	0.070921
"Bruce Springsteen"	0.0706579
Dre	0.070317
"Mick Jagger"	0.07027
DMX	0.0698777
"Carlos Santana"	0.0693628
Hanson	0.0681896
"Bob Dylan"	0.0679569
"Janis Joplin"	0.0678285
"Erykah Badu"	0.0676257
Aerosmith	0.0666676
"Willie Nelson"	0.0653609
"George Strait"	0.064825
Moby	0.0643034
U@	0.0638715
"Rob Thomas"	0.0637301
"Dave Matthews"	0.0633877
"Tony Bennett"	0.0632364
"Boyz II Men"	0.0621356
"Mary J. Blige"	0.0618118
"Bonnie Raitt"	0.0609833
"Patti Smith"	0.0609478
"Salma Hayek"	0.0608282
"Tom Waits"	0.060763
"Faith Hill"	0.0606353
"Jennifer Love Hewitt"	0.0602962
"Chris Gaines"	0.0602886
Springsteen	0.0601257
"Tim McGraw"	0.0599363
Beatles	0.0594635
"Rolling Stones"	0.0590163
Eurythmics	0.0588566
"Pearl Jam"	0.0586659
"Dolly Parton"	0.058428
"Elvis Costello"	0.0579333
"Pink Floyd"	0.0572784
"James Taylor"	0.057114
Monica	0.0568673
"Jessye Norman"	0.0566207
Aguilera	0.0565004
Sinatra	0.0563441
Morissette	0.056141
"Reba McEntire"	0.0560381
"Tom Jones"	0.0555143
"Snoop Dogg"	0.0551786
"Barenaked Ladies"	0.0549233
Bono	0.0546288
Twain	0.0545414
"La Vida Loca"	0.0541707
"David Cassidy"	0.0541115
"Foxy Brown"	0.0539124
"Ian Thorpe"	0.0537463
RuPaul	0.0537037
"Mirjana Lucic"	0.0528938
Elvis	0.0525822
"Natalie Cole"	0.05239
"Sergio Garcia"	0.0520263
"R. Kelly"	0.0519156
"Lou Reed"	0.0514606
"Alexandra Stevenson"	0.0513756
Dion	0.050928
Phish	0.0508705
"Linda Ronstadt"	0.0508305
"Public Enemy"	0.0507831
"Stevie Wonder"	0.0498891
"Halle Berry"	0.049798
"Vince Gill"	0.0497217
Pavarotti	0.0490565
"Rosie O'Donnell"	0.0489293
"Marion Jones"	0.048885
"Christine Arron"	0.0488735
Coolio	0.0487011
"Joni Mitchell"	0.0485245
jewel	0.0483968
R.E.M	0.048014
Bartoli	0.0478359
"Whoopi Goldberg"	0.0477989
Brooks	0.0476451
"Johnny Cash"	0.0476071
"Sharon Stone"	0.0470763
"Don Henley"	0.0467993
rapper	0.0467432
"Smashing Pumpkins"	0.0465343
"David Bowie"	0.0464854
"William Shatner"	0.0464158
"Melissa Etheridge"	0.0462721
Sonny	0.0460168
"Alan Jackson"	0.0459151
crooner	0.0458026
"Roy Rogers"	0.045571
Korn	0.0451323
"Ray Charles"	0.0449404
"Jerry Seinfeld"	0.0449277
Bocelli	0.0448885
"Red Hot Chili Peppers"	0.044777
"Bette Midler"	0.0447007
"Lyle Lovett"	0.0445914
"Lucinda Williams"	0.0443302
"Merle Haggard"	0.044273
"Judy Garland"	0.0441851
"Vanessa Williams"	0.0436522
"Los Lobos"	0.0433821
Barney	0.0433505
"Trisha Yearwood"	0.043262
"Tom Cruise"	0.0428315
"pop music"	0.042721
Dylan	0.0423841
Blondie	0.0423697
idol	0.0423578
"George Clooney"	0.0422963
"Anna Kournikova"	0.0422475
"Drew Carey"	0.0421819
quintet	0.0417252
"Courtney Love"	0.0417177
"Lucille Ball"	0.04162
"Jerry Springer"	0.0415266
diva	0.0409041
"Oprah Winfrey"	0.0408402
"classical music"	0.0408048
"Jelena Dokic"	0.0406625
Supremes	0.040485
"Jack Nicholson"	0.0404059
Streisand	0.0402956
Thorpe	0.0401572
Combs	0.0401532
karaoke	0.0401318
"Howard Stern"	0.0401028
))
(Briton (desc 21244.9) (sims
Filipino	0.161018
Spaniard	0.159088
"New Zealander"	0.155678
Malaysian	0.148901
German	0.146383
Iranian	0.139049
Australian	0.138768
Canadian	0.138165
Austrian	0.136831
Brazilian	0.136662
Finn	0.13216
Colombian	0.131913
Belgian	0.131619
Frenchmen	0.131304
westerner	0.13127
Swede	0.130564
Mexican	0.128947
foreigner	0.127801
Ukrainians	0.127454
Italian	0.126149
Lebanese	0.124295
Egyptian	0.123664
Pakistani	0.12227
Japanese	0.122107
Swiss	0.120812
"South African"	0.120225
Indonesian	0.119624
"South Koreans"	0.119548
Thai	0.119547
Kenyan	0.118518
Jordanian	0.116986
American	0.11659
Bulgarian	0.116555
Turk	0.11495
Norwegian	0.11467
Vietnamese	0.109744
Frenchman	0.108659
Koreans	0.108625
Russian	0.107739
Peruvian	0.10742
Argentine	0.106483
Singaporean	0.106116
national	0.105281
Hungarian	0.10524
Kuwaiti	0.104809
Iraqi	0.104103
Nigerian	0.103849
Nepalese	0.102765
citizen	0.102708
British	0.100489
Chilean	0.100446
Taiwanese	0.0999338
Venezuelan	0.0995769
Israeli	0.0995158
"Sri Lankans"	0.099264
Ethiopian	0.0987463
Tanzanian	0.0987314
Ugandan	0.0985339
Cambodian	0.0977065
Romanian	0.0975625
Greeks	0.0967415
Haitian	0.0935481
European	0.0931378
Angolan	0.0930948
Panamanian	0.09255
Dane	0.0920607
Bangladeshi	0.0915325
tourist	0.0899471
Moroccan	0.0896679
Somali	0.0894421
Georgian	0.0892458
Sudanese	0.0890731
Afghan	0.088835
Cuban	0.0883287
Californian	0.0866376
Algerian	0.0859739
Beijingers	0.0853786
Zambian	0.0848394
diplomat	0.0844397
African	0.0843057
journalist	0.0839265
Croats	0.0839098
Scandinavian	0.0838897
Jamaican	0.0835357
"crew member"	0.0828619
Jew	0.0825334
French	0.0825161
Laotian	0.0822231
Chinese	0.0822204
Czech	0.0818783
Quebecers	0.0815664
Fijian	0.0808123
Zimbabwean	0.0808109
Muscovite	0.0803617
crewmembers	0.0803149
"North Koreans"	0.0796022
villager	0.079581
"white man"	0.0793733
detainee	0.0792272
Portuguese	0.0786142
Bosnians	0.0785823
Honduran	0.0778738
Bolivian	0.0770561
Brit	0.0766217
Mozambican	0.0762455
businessmen	0.0754624
Liberian	0.0752747
Texan	0.0750068
hostage	0.074697
Dutch	0.074559
"college student"	0.0743434
Saudi	0.0741213
servicemen	0.0741028
crewmen	0.0740874
"New Yorker"	0.0736676
Salvadoran	0.0735174
migrant	0.0733761
Atlantans	0.0733741
civilian	0.0732785
Palestinian	0.0731754
immigrant	0.0729005
resident	0.0728238
Albanian	0.0728
Ghanaian	0.0727336
soldier	0.0726433
policemen	0.0723794
"East Timorese"	0.0723672
Indian	0.0720424
motorist	0.0717805
Libyan	0.0716681
Tunisian	0.0715182
dissident	0.0713444
African-American	0.0711718
"military officer"	0.0711434
"New Englander"	0.0711118
settler	0.0706594
climber	0.0699933
Londoner	0.069981
Namibian	0.0695841
Yemeni	0.0692602
expatriate	0.0690336
homeowner	0.0690257
Asian-Americans	0.0686253
Serbs	0.0683335
teen-ager	0.0682829
Tibetans	0.068151
activist	0.0680405
Latvians	0.0676528
"army officer"	0.0674226
Copt	0.0673813
passenger	0.0672827
miner	0.0672583
airmen	0.0671113
"Puerto Rican"	0.0669374
"American Jews"	0.0667093
countrymen	0.0665306
"church member"	0.0664949
Iowan	0.0663854
Chechens	0.0660602
Congolese	0.0659718
"university student"	0.0658443
Latino	0.0656426
"black man"	0.0655299
Arab	0.0654531
prisoner	0.0654367
Hijacker	0.0651658
Parisian	0.0651333
missionary	0.0650633
doctor	0.0649428
nun	0.0649232
businessman	0.064836
"black woman"	0.0648252
Hispanic	0.0647644
sailor	0.0646595
protester	0.0644915
Guatemalan	0.0644353
schoolchildren	0.06434
teenager	0.0641243
inmate	0.063781
bystander	0.0636334
smuggler	0.0635651
Southerner	0.0635363
illegals	0.0631975
policeman	0.0631874
Arizonan	0.0631512
youngster	0.062829
observer	0.062771
Syrian	0.0626354
Frenchwoman	0.0626204
Asian	0.0625084
peacekeeper	0.0624674
"North Carolinian"	0.062451
Fishermen	0.0624129
Floridian	0.062366
serviceman	0.0623494
skier	0.0621831
"political prisoner"	0.0621717
"truck driver"	0.06206
Yugoslav	0.062057
"foster child"	0.0618915
))
("Briton Greg Rusedski" (desc 925.309) (sims
"American Chanda Rubin"	0.292088
"South African Amanda Coetzer"	0.263724
"American Andre Agassi"	0.22936
"American Michael Chang"	0.218101
"Greg Rusedski"	0.210247
"American Lindsay Davenport"	0.198345
"Australian Mark Philippoussis"	0.192691
"American Todd Martin"	0.17933
"Russian Yevgeny Kafelnikov"	0.177668
"Albert Portas"	0.171756
"Thomas Enqvist"	0.164157
"Francisco Clavet"	0.159412
"Alberto Berasategui"	0.155411
"Michael Chang"	0.151827
"Mariano Puerta"	0.151366
"Alex Corretja"	0.150005
"Magnus Norman"	0.148469
"Julie Halard-Decugis"	0.147961
"Arantxa Sanchez Vicario"	0.142375
"Thomas Muster"	0.141933
"Mary Pierce"	0.141571
"Kimiko Date"	0.140898
"Tim Henman"	0.136901
"Karol Kucera"	0.135385
"Carlos Costa"	0.13503
"Conchita Martinez"	0.134954
"Jason Stoltenberg"	0.134869
"Camilla Martin"	0.134668
"Sergi Bruguera"	0.133797
"Felix Mantilla"	0.13299
"Silvia Farina"	0.132289
"Carlos Moya"	0.131934
"Sarah Pitkowski"	0.131495
"Albert Costa"	0.130911
"Mark Philippoussis"	0.130816
"Brenda Schultz-McCarthy"	0.130428
"Judith Wiesner"	0.130254
"Anke Huber"	0.130243
"Arantxa Sanchez-Vicario"	0.129663
"Ai Sugiyama"	0.129461
"Goran Ivanisevic"	0.128926
"American Pete Sampras"	0.127238
Nicol	0.126305
"Gustavo Kuerten"	0.126216
"Richard Krajicek"	0.126172
"Iva Majoli"	0.124053
"Nathalie Tauziat"	0.123529
"Marcelo Rios"	0.123089
"Petr Korda"	0.121936
"Magnus Larsson"	0.121887
"Thomas Johansson"	0.12035
"Van Roost"	0.12026
"Monica Seles"	0.120073
"Amanda Coetzer"	0.119922
"Jana Novotna"	0.119331
Stoltenberg	0.119183
"Natasha Zvereva"	0.118982
"Yayuk Basuki"	0.118863
"Patrick Rafter"	0.118586
"Wayne Ferreira"	0.117938
Puerta	0.117495
"Dominik Hrbaty"	0.116791
"Cedric Pioline"	0.116731
"Dominique Van Roost"	0.116592
"Marcelo Filippini"	0.116533
"Andre Agassi"	0.116343
"Jansher Khan"	0.114894
"Byron Black"	0.114395
"Boris Becker"	0.113926
"Jonas Bjorkman"	0.113542
"Magdalena Maleeva"	0.11328
Berasategui	0.113208
Clavet	0.113088
"Fung Permadi"	0.112277
"Yevgeny Kafelnikov"	0.112062
"Magnus Gustafsson"	0.111736
"Nicolas Kiefer"	0.111642
"Lindsay Davenport"	0.110738
"Li Fang"	0.110513
"Paul Haarhuis"	0.110512
"Marat Safin"	0.110264
"Sabine Appelmans"	0.110065
"Kenneth Carlsen"	0.11003
"Irina Spirlea"	0.109856
"Chanda Rubin"	0.109844
"Patty Schnyder"	0.109775
"Peter Gade Christensen"	0.109716
"Marc Rosset"	0.10928
"Nicolas Escude"	0.108932
"Vincent Spadea"	0.108185
"Juan Antonio Marin"	0.106618
"Ye Zhaoying"	0.106417
"Arnaud Boetsch"	0.106174
"Peter Rasmussen"	0.10581
"Richard Fromberg"	0.105498
"Naoko Sawamatsu"	0.105217
"Andrea Gaudenzi"	0.104718
"Andrei Pavel"	0.104382
"Venus Williams"	0.103951
Hawkeyes	0.103794
Edberg	0.103413
"Tamarine Tanasugarn"	0.103261
"Arnaud Clement"	0.102837
"Peter Nicol"	0.101433
"Gong Zhichao"	0.101155
"Jim Courier"	0.101098
"Amelie Mauresmo"	0.100793
"Hernan Gumy"	0.10061
"Barbara Paulus"	0.0999886
"Sandrine Testud"	0.0992927
"David Prinosil"	0.0991786
"Lisa Raymond"	0.0990624
"Christian Ruud"	0.0986199
"Sebastien Grosjean"	0.097894
"Elena Likhovtseva"	0.0972161
"Karim Alami"	0.0970723
"Mia Audina"	0.0968374
"Andrei Medvedev"	0.0962445
"Tatiana Panova"	0.0959141
"Galo Blanco"	0.0955211
"Jerome Golmard"	0.0951641
"Javier Sanchez"	0.0950852
Coetzer	0.0948265
"Bafana Bafana"	0.0948033
"Xia Xuanze"	0.0943682
Rusedski	0.0943526
"Todd Martin"	0.0935887
"Nathalie Dechy"	0.0934447
Gustafsson	0.0925837
Frenchwoman	0.0924024
"Phenix City"	0.0921988
"Tar Heels"	0.0914874
"Los Angeles Galaxy"	0.0913557
"Todd Woodbridge"	0.0909462
"Ruxandra Dragomir"	0.0906759
Ferreira	0.0904457
Mantilla	0.0892671
"Richey Reneberg"	0.0892094
"MaliVai Washington"	0.0885115
"Henrieta Nagyova"	0.0882889
Tauziat	0.0878732
"Jan-Michael Gambill"	0.0877581
Kiefer	0.086949
"Fabrice Santoro"	0.0868041
"Phoenix Mercury"	0.0862768
"Serena Williams"	0.0862428
"Pete Sampras"	0.0861074
"Wang Chen"	0.0860658
"Amy Frazier"	0.0855187
Grosjean	0.0851476
"Jennifer Capriati"	0.0849496
bearcat	0.0848011
"Nikola Poplasen"	0.0846438
"Steffi Graf"	0.0841786
Testud	0.0837603
"Brett Steven"	0.0835126
"Jeff Tarango"	0.0834176
"Mahesh Bhupathi"	0.0826651
terrapin	0.0821643
"Tommy Haas"	0.0818096
"Miami Fusion"	0.0817607
Sautin	0.0817588
Moya	0.0814976
"Martina Hingis"	0.0813377
Seles	0.0811533
Enqvist	0.0810592
"Hicham Arazi"	0.0808109
"Guangdong Hongyuan"	0.0806707
Kafelnikov	0.0802653
"Anne-Gaelle Sidot"	0.0800932
"Renzo Furlan"	0.0798051
"Old Dominion"	0.0797086
"Filip Dewulf"	0.0796824
"Fernando Meligeni"	0.0795825
rios	0.0793097
"Stefan Edberg"	0.0792056
"Guillaume Raoux"	0.0787342
Jansher	0.0785054
Novotna	0.0780989
"Ge Fei"	0.0775817
Huber	0.0774665
Corretja	0.0774087
"Taufik Hidayat"	0.0772828
Lucic	0.0771778
Siemerink	0.0768914
"Wayne Black"	0.0765835
"Arnaud Di Pasquale"	0.0764876
"Magui Serna"	0.0761003
"Qingdao Hainiu"	0.07608
"Louisiana State"	0.0757613
"Corina Morariu"	0.0757303
Ivanisevic	0.0756716
Samford	0.0756214
"Shandong Flaming Bulls"	0.0755387
"Pat Rafter"	0.0754093
"Jacco Eltingh"	0.0750643
"Sanchez Vicario"	0.0749623
Krajicek	0.0747023
Sooners	0.0746298
Kucera	0.074585
))
(Brittan (desc 1452.79) (sims
Kasoulides	0.297368
Meguid	0.283766
Zou	0.265372
Jayakumar	0.257345
Ikimi	0.250021
Nzo	0.248532
Jovanovic	0.239273
Tsang	0.237718
"de Charette"	0.236567
Sumaye	0.234474
Boueiz	0.233199
Stoyanov	0.226277
Ruehe	0.224656
Rong	0.224229
Abdel-Meguid	0.219435
Rifkind	0.217482
Wolfensohn	0.215295
Mkapa	0.21139
Leghari	0.210485
Zeng	0.2043
Velayati	0.203373
Qiao	0.200537
Khai	0.19457
Granic	0.194295
Klima	0.193123
Axworthy	0.191285
Chissano	0.190671
Goh	0.190536
Moratinos	0.190422
Dini	0.190313
Phieu	0.189148
Guterres	0.18873
Siazon	0.187865
Bruton	0.18658
Azad	0.186578
Shaath	0.184696
Meles	0.181347
Komura	0.180576
Klestil	0.179289
al-Sahaf	0.178562
Alatas	0.178436
Gurirab	0.177654
Modise	0.175997
Insulza	0.174756
Cem	0.174423
Scharping	0.173992
Shipley	0.173156
Zuma	0.172232
Santer	0.171154
Kono	0.169172
Jia	0.168501
Broek	0.16841
Tarawneh	0.167831
Rodionov	0.167755
wen	0.16775
Luo	0.167742
Constantinescu	0.167027
Pangalos	0.166715
Akayev	0.166087
Muoi	0.165661
Shareh	0.165281
Aventajado	0.16477
Camdessus	0.163209
"Lee Hsien Loong"	0.162836
Cui	0.162195
"Khin Nyunt"	0.16155
Ikeda	0.161159
Wan	0.16115
Kharrazi	0.159788
Diouf	0.157871
Nujoma	0.157266
Kostov	0.157254
Majali	0.157031
Kinkel	0.156881
"Secretary General Esmat Abdul-Meguid"	0.156071
Deuba	0.155796
Shi	0.155151
Qian	0.154999
Nazarbayev	0.154428
Malu	0.1537
Kyprianou	0.153533
"Secretary General Esmat Abdel-Meguid"	0.15322
Vedrine	0.153066
Severino	0.153027
Shamshad	0.152944
Hu	0.152833
Pustovoitenko	0.152048
Pickering	0.151565
Seleznyov	0.151353
Luong	0.151064
Sergeyev	0.151011
Iliescu	0.150002
Khaddam	0.149875
Narayanan	0.149841
Kabariti	0.149808
Fu	0.149669
Moussa	0.149622
Ahtisaari	0.149406
Husseini	0.147957
Aziz	0.147863
Juma	0.147264
Scalfaro	0.147061
Nasrallah	0.146697
Malan	0.145961
Chavalit	0.145488
Ben-Ami	0.144511
LeBlanc	0.144206
Shevardnadze	0.14312
Stroyev	0.14296
Hrawi	0.142682
Kwasniewski	0.142519
Kok	0.142319
Bellamy	0.142006
"Xie Zhenhua"	0.141356
"Than Shwe"	0.141168
Saleh	0.14109
Bulatovic	0.140882
Singson	0.140647
Bolger	0.140617
Frei	0.140583
Chi	0.140448
Niyazov	0.140421
tang	0.13891
Museveni	0.138725
Tung	0.138698
Fino	0.138676
Salim	0.137717
Wilhelm	0.137295
Ganzouri	0.137232
Dai	0.136457
Chuan	0.135992
Orban	0.135835
Brahimi	0.135305
Clerides	0.134715
Lipponen	0.133972
Juncker	0.133871
Wei	0.133689
Ogata	0.1332
Solana	0.133086
Daley	0.131425
Piot	0.131127
Erekat	0.130984
Ivanov	0.130871
Yastrzhembsky	0.130735
Gujral	0.130541
"Maung Aye"	0.13046
Prodi	0.129916
Muluzi	0.129851
Chiluba	0.12981
Ruggiero	0.129356
Waigel	0.129199
Fernandes	0.128272
Sheng	0.127805
Kagame	0.127746
Azizah	0.127242
Karimov	0.127046
Sahnoun	0.126983
Tian	0.126887
Ahern	0.12583
Buhe	0.125229
Kuchma	0.124313
Ashrawi	0.124185
Boutros-Ghali	0.123994
Rasmussen	0.123055
Dehaene	0.122496
Holl	0.12211
Sha	0.122065
Vollebaek	0.122033
Ciampi	0.121761
Leung	0.121562
Zhirinovsky	0.121
Banharn	0.120922
Koirala	0.120436
Massey	0.120241
Nateq-Nouri	0.120047
Surin	0.120024
Mustafa	0.11994
Dar	0.119925
Zhu	0.119485
Tarrin	0.119116
Berri	0.118782
Vasile	0.118777
Mbeki	0.118639
"Defense William Cohen"	0.118627
Beilin	0.118415
Wu	0.118271
"Leon Brittan"	0.11793
Supachai	0.117924
Xanana	0.117822
"Faisal Husseini"	0.117414
Reinhardt	0.117347
Xiong	0.117332
Barshefsky	0.11719
Napolitano	0.116816
Nemtsov	0.116814
"Sheikh Saad"	0.116807
Brundtland	0.116562
"De Soto"	0.116066
Schuessel	0.115508
D'Alema	0.115464
Hariri	0.114479
Cao	0.113602
Liang	0.11351
Ecevit	0.113459
Xiang	0.113346
Juppe	0.113159
Demirel	0.112884
Aznar	0.112796
Hoss	0.112711
al-Sahhaf	0.112469
Hasina	0.112125
Al-Sabah	0.112042
Milo	0.111879
"Chief Executive Tung Chee-hwa"	0.111635
"Li Peng"	0.111464
"John Bruton"	0.111181
Arens	0.110127
Talbott	0.109056
Jing	0.108423
Milutinovic	0.107903
Zhang	0.107874
"Tariq Aziz"	0.107634
Advani	0.107403
Sampaio	0.107358
Ghali	0.107222
Qu	0.107201
Simitis	0.107032
Murayama	0.106652
Prewitt	0.106631
Rashid	0.106527
Bambang	0.10625
Bildt	0.106133
Tsvangirai	0.106081
Weizman	0.106056
Liao	0.106009
Grachev	0.105832
Papandreou	0.105579
Khamenei	0.105454
Gosper	0.105306
Herzog	0.104786
Alarcon	0.104724
Buzek	0.104461
Prueher	0.104353
Aliyev	0.104332
Indyk	0.104206
Levitt	0.104167
"Igor Ivanov"	0.104106
Buthelezi	0.103995
Beazley	0.103958
"John Prescott"	0.103846
Abbas	0.103708
Hamad	0.103704
Majko	0.103419
"George Robertson"	0.103022
"Secretary-General Boutros Boutros-Ghali"	0.103003
Al-Faisal	0.102559
Menem	0.102493
Zhao	0.102007
Primakov	0.101981
Peng	0.101963
Shahak	0.10122
Chirac	0.101144
Kasyanov	0.100933
guo	0.100669
Vice-Premier	0.100561
el-Ganzouri	0.100545
Kessler	0.1005
Masire	0.100417
))
(Brittany (desc 6149.52) (sims
Puglia	0.0976194
Devon	0.0800278
Catalonia	0.0727589
Mullaitivu	0.0720213
Alsace	0.0702857
"Yangtze River Delta"	0.0678113
Newfoundland	0.0675358
"Baja California"	0.065539
"Dead Sea"	0.0653506
Kyushu	0.0652826
"Far Eastern"	0.0652671
Decani	0.0651267
Abkhazia	0.0638483
Siberia	0.063384
Sicily	0.0628168
"Bekaa Valley"	0.0603544
Normandy	0.06035
Adriatic	0.0597673
"Red Sea"	0.0596912
Juli	0.0588923
"North Ossetia"	0.0585966
Caprivi	0.0583556
Honduras	0.0580013
Kigoma	0.0575527
"Nova Scotia"	0.0572559
Tigray	0.0569809
"Niger Delta"	0.0569382
Baja	0.0569246
Katie	0.0568057
"Indian Ocean"	0.05671
Patagonia	0.056481
"North Island"	0.0563957
Bekaa	0.0562595
Krasnoyarsk	0.0558095
Calabria	0.0558063
Guangxi	0.0556727
Breton	0.0553978
Oaxaca	0.0552914
Antioquia	0.0549938
Chiapas	0.0547088
"New South Wales"	0.0546166
"Inner Mongolia"	0.0545966
Stephanie	0.0545155
"Yucatan Peninsula"	0.0544328
Moshi	0.0544019
"Lake Michigan"	0.0536062
Drenica	0.0529629
"East Texas"	0.0527882
Julie	0.0524731
"Black Sea"	0.0524451
"Anhui Province"	0.0524449
Lyn	0.052095
"San Joaquin Valley"	0.0520442
Courtney	0.0519987
Uvira	0.0519811
Ashley	0.0519425
Mtwara	0.051913
Mwanza	0.0516516
Gujarat	0.0515069
"Zhejiang Province"	0.0515054
Peggy	0.0508158
Kelsey	0.0507653
Trincomalee	0.0505718
Aegean	0.0505093
"West Bengal"	0.0504675
Gabe	0.0504384
Wenzhou	0.0503002
Punjab	0.0501428
Alexandra	0.0500333
"Pearl River Delta"	0.0499265
Vojvodina	0.0496856
Mindanao	0.0496344
Calais	0.0494456
Ningxia	0.0494183
Jenna	0.0493628
"East Java"	0.0492766
Gansu	0.048992
"Hunan Province"	0.0489399
"Fujian Province"	0.0488888
Somaliland	0.0487588
"East Africa"	0.0486242
Piedmont	0.0485842
Jessica	0.0478568
Flanders	0.0477688
"East China Sea"	0.04772
Erin	0.0476724
Liz	0.0476675
Limassol	0.0476398
"British Columbia"	0.0474244
Lorraine	0.0471848
Kristin	0.0471718
"Hainan Province"	0.0470976
Bamiyan	0.0470348
Sofala	0.0468325
"Mediterranean Sea"	0.0468117
Tuscany	0.0465968
Shannon	0.0465224
"Congo River"	0.0464803
Nora	0.0464551
Kaliningrad	0.0464507
Guerrero	0.0463634
"Northern California"	0.0462292
"Big Sur"	0.0461507
Ingushetia	0.0460884
Katanga	0.0460673
"Irian Jaya"	0.0460043
Jennifer	0.0459631
Nana	0.045844
"Hudson Valley"	0.0457575
"Marin County"	0.0457279
Nancy	0.0456926
"Guangxi Zhuang Autonomous Region"	0.0456427
"Cape Fear"	0.0454943
Labrador	0.0453997
"Pacific Coast"	0.045375
Karen	0.0452528
Zhejiang	0.0451133
"Sea of Japan"	0.0450814
Naples	0.0450569
Miyazaki	0.044997
"Gaza Strip"	0.0449587
Queensland	0.0447291
Provence	0.0447077
Michelle	0.0446298
Crimea	0.0445574
"Henan Province"	0.044488
Montenegro	0.0444579
Baltic	0.0444313
Gail	0.0444179
"South Florida"	0.0443867
Mediterranean	0.04438
Kwazulu-Natal	0.0443339
sierra	0.0443249
"Karenna Gore Schiff"	0.0442752
Nago	0.044231
Qinghai	0.0440734
"Golden Triangle"	0.0440286
"South America"	0.0440071
Angelica	0.0440056
Caroline	0.0439844
"Central Java"	0.0438703
"Round Rock"	0.0437873
Merca	0.0437073
Buldon	0.0436836
Susan	0.0436782
Anhui	0.0435983
"Arabian Sea"	0.0434784
Lijiang	0.0434509
Jill	0.0432736
"Eastern Cape"	0.0432121
Jiangxi	0.0431526
Borneo	0.0430963
Beverly	0.0430316
Xinjiang	0.0429163
Crete	0.0427565
Gaza	0.0427463
"North China"	0.0426365
Aceh	0.0425761
Amanda	0.0425299
Fujian	0.0425068
Sihanoukville	0.0424419
Karenna	0.0424028
Alex	0.0423831
"Persian Gulf"	0.0422666
"Far East"	0.0422594
Talipao	0.0422258
Mona	0.0421964
"New Brunswick"	0.0421361
"Ningxia Hui Autonomous Region"	0.0421099
Renee	0.0420726
Chittagong	0.042032
Savannah	0.0418929
Catherine	0.0417408
"Lower Saxony"	0.0416519
Jalisco	0.0415701
Portsmouth	0.0414736
Jaffna	0.0414714
Gulu	0.0413088
"West Texas"	0.0412868
Bengkulu	0.0411915
Emily	0.0411855
"Andhra Pradesh"	0.0411171
"Shanxi Province"	0.0411032
Cotabato	0.041072
Johanna	0.0410243
Meg	0.0409877
"South Vietnam"	0.0409551
Tangshan	0.0409043
"Xinjiang Uygur Autonomous Region"	0.0408552
Henan	0.0408536
Mimi	0.0408479
midland	0.0408251
"Eastern Slavonia"	0.0407983
Josh	0.04066
Shaanxi	0.0406451
Sindh	0.0406239
Batticaloa	0.0405607
Luzon	0.0404256
Michoacan	0.0404214
Kilimanjaro	0.0403776
))
(Britten (desc 2260.19) (sims
Ravel	0.161298
Prokofiev	0.137071
Bartok	0.129304
Tchaikovsky	0.124816
Schoenberg	0.110164
Rachmaninoff	0.105175
Copland	0.100011
"Leonard Bernstein"	0.0937932
Monteverdi	0.0906979
DVORAK	0.0901489
Stravinsky	0.0897468
Shostakovich	0.087072
"Richard Strauss"	0.0850095
Mahler	0.0849188
Schumann	0.0837574
Mendelssohn	0.0821385
Rossini	0.0811669
Liszt	0.0801202
Gershwin	0.0799984
Boulez	0.0774326
Bolcom	0.0764262
Bach	0.0707192
Bruckner	0.0689061
Berlioz	0.0687571
Debussy	0.0669223
Mozart	0.0647328
"Randy Newman"	0.0646203
"Andre Previn"	0.0643345
Bernstein	0.062584
Gluck	0.0602932
Handel	0.0587975
Brahms	0.0587517
Verdi	0.0584693
Goethe	0.0582422
Strauss	0.0579325
Beethoven	0.0578394
Bellini	0.0545032
Webern	0.0516611
Sealy	0.0515639
Wagner	0.0513446
Bragg	0.0511713
"Andrew Lloyd Webber"	0.050322
"Griffith Joyner"	0.0484918
Berg	0.0482663
Balanchine	0.0482451
Schubert	0.0472704
Malkovich	0.0467531
"R Block"	0.0467382
Melville	0.0466929
"field trial"	0.0456773
"Philip Glass"	0.045484
Puccini	0.0449234
Tilberis	0.0447583
"Burt Bacharach"	0.0443866
Menuhin	0.0441718
Wildhorn	0.0437827
Junger	0.0434479
Reiner	0.0433435
Postel	0.0428088
"Brian Wilson"	0.0426385
"Wireless Optus"	0.0425939
"Herman Melville"	0.0424896
Dennehy	0.0424634
Spoleto	0.0423311
Elgar	0.041905
Hamlin	0.0415827
"beauty shop"	0.0415417
Marsalis	0.0410359
Charest	0.0409718
Welles	0.0403947
Harbison	0.0401084
))
(BRITTLE (desc 2156.64) (sims
barren	0.0842436
market-oriented	0.0750766
savory	0.0662378
accepting	0.0593688
user-friendly	0.0543009
thinning	0.0527702
Americanized	0.0527147
praline	0.0523338
brownie	0.0502861
crunchy	0.0499184
drier	0.0495895
enhancer	0.0491743
broad-based	0.0490393
latke	0.0487331
preachy	0.0485943
"snack food"	0.0475979
derelict	0.0473447
eye-opening	0.0470842
"stock company"	0.0470826
"Category @"	0.0470018
marrow	0.0462591
bedfellow	0.046218
Mashburn	0.0459703
"solid ground"	0.0459195
multimillionaires	0.0458532
proactive	0.0448718
croaker	0.044537
picky	0.0444821
jerky	0.0443602
schematic	0.0443052
paraplegic	0.0436386
non-issue	0.0434955
brine	0.0428808
sharper	0.0428206
"sitting duck"	0.0426526
"sight gag"	0.0426145
tenderloin	0.0423769
lavender	0.0421718
oreo	0.0421519
"matinee idol"	0.0420434
"rainbow trout"	0.0419436
turpentine	0.0419408
smoother	0.0418972
copout	0.0418584
periwinkle	0.0414996
pinata	0.0410995
"first pitcher"	0.0409814
simpatico	0.0408304
desperado	0.0402374
"personal property"	0.0401349
keystroke	0.0401086
queer	0.0401061
electability	0.0400903
))
(Britton (desc 826.905) (sims
Rivlin	0.173291
Pearce	0.162144
Rowley	0.147738
Sheehy	0.145345
Betts	0.14144
Mucha	0.133541
Menchu	0.13068
Hamlin	0.126439
McCormack	0.125906
Swenson	0.123609
Kurtz	0.12297
Wasserstein	0.120077
Meissner	0.118679
Manley	0.118579
Ono	0.115512
Weil	0.115022
Kurth	0.114603
Fiorina	0.113261
Baugh	0.112155
Northup	0.108333
Stacy	0.108331
Zuckerman	0.108228
Soliah	0.108143
Grunwald	0.106608
Hickman	0.106388
COYNE	0.105738
Greenwald	0.105345
Copeland	0.104376
Gaffney	0.103891
Reiter	0.103535
Schafer	0.103529
Mckee	0.102936
Kirkpatrick	0.102822
Oliveira	0.102798
Vogel	0.102476
Donnelly	0.101536
DeFrantz	0.100722
Myhrvold	0.100691
Feldman	0.100368
Janssen	0.0998733
Baum	0.0994343
Webdale	0.0994217
Abram	0.0991766
Hanna	0.0983199
Lowry	0.0982034
Lockwood	0.0978678
Marineau	0.0978323
Markovic	0.097206
Henning	0.0971174
Barad	0.0970689
Yoon	0.0963162
Nilsson	0.0962614
Lurie	0.0962107
Lundberg	0.0958005
Bassett	0.0956789
Simons	0.0955964
Seligman	0.0953562
Mortimer	0.0949795
Bragg	0.0947783
Morley	0.0943704
Jaffe	0.0940881
Suarez	0.0935273
Marchand	0.0933296
McHugh	0.0930641
Difrancesco	0.0927757
Rowan	0.0925861
Atkinson	0.0923866
Pierson	0.0922139
McLachlan	0.0920597
Muir	0.0916312
Rosenthal	0.0913594
Tomlin	0.0912954
Mullen	0.0909738
Mapes	0.0907933
Upshaw	0.0907274
Scruggs	0.0906712
Eisenman	0.0903596
Forrest	0.0900505
Lange	0.0898417
Ackerman	0.0897595
Rudenstine	0.0897565
Cleary	0.0893862
Tuttle	0.089243
Adkins	0.0891531
Haines	0.0890821
Seltzer	0.0885823
pressman	0.0885767
McFadden	0.0885402
Lawler	0.0884863
Sibley	0.0882724
Nasrin	0.088111
Hadley	0.087826
Orton	0.0873497
Marceau	0.0871682
Gilligan	0.0866223
Harman	0.0865589
Giordano	0.0863731
Moscoso	0.0855862
Langer	0.0854011
Trevi	0.0853989
Ivey	0.0853596
Stephenson	0.0851038
Ricci	0.0850283
Ricart	0.0849062
Edson	0.0846571
Grossman	0.0845622
Redgrave	0.0844923
Mei	0.0842537
Dion	0.0840847
Arbour	0.0840582
Pape	0.0840233
Kagalovsky	0.0840208
Ingalls	0.0836549
McIntyre	0.0833282
Hecht	0.0830339
Garber	0.0827001
Brazile	0.0825159
Chenoweth	0.0821773
Cline	0.0820874
Bogle	0.0819423
Henley	0.0819063
Deneuve	0.08173
Stahl	0.0817019
McMullen	0.0816868
Heche	0.0814877
Maynard	0.0813594
Farber	0.0810552
Briscoe	0.0808557
Roberson	0.0808374
Burgess	0.0807842
Edelstein	0.0806625
Slatkin	0.0805537
Hindery	0.0799543
Sommer	0.0798097
Mahoney	0.0797914
Fink	0.0796825
Bellamy	0.0796355
Jolie	0.0796086
Rupert	0.0794328
Tharp	0.0792792
Waxman	0.0792551
Garvey	0.0791979
Krall	0.0791095
Draper	0.0790968
Pascal	0.0790914
Knapp	0.078953
Wendt	0.0787372
Jamison	0.0786117
Keady	0.0781721
Rowe	0.0780727
Hahn	0.0777633
Berenson	0.0777177
Schott	0.0776404
Bernhard	0.0776312
Kessler	0.0775322
Ashrawi	0.0775153
Kyl	0.0774031
Newhouse	0.0771227
Kusama	0.0770836
Portman	0.0770789
joiner	0.0767639
Taymor	0.0765219
Hobson	0.076439
lauder	0.0761379
Meyers	0.0760913
Boardman	0.0759404
Arpaio	0.0759135
Morrison	0.0758808
Baer	0.0758291
Hanley	0.0757453
Jeffers	0.075728
Hartley	0.0756153
Manheim	0.0754469
Spitzer	0.0754343
bock	0.0754274
Pfeiffer	0.0753796
O'Sullivan	0.0753601
Horne	0.0753349
Greco	0.0753014
Hollings	0.075136
Midler	0.0749829
Cohn	0.0748736
Maxwell	0.0748576
Marquez	0.0748101
Huffington	0.074798
Flockhart	0.0747467
Carlson	0.0747017
Brenner	0.0746816
Clooney	0.0746441
Sorensen	0.0744444
Nicholson	0.0743471
Falco	0.0743077
Hensley	0.0738479
Tobin	0.0735526
Wiggins	0.0734785
Grimes	0.0733801
Kingsley	0.0733725
Preston	0.0733315
Dubus	0.0732749
Kahn	0.0731598
))
(Brixton (desc 1597.16) (sims
Zhongguancun	0.100444
Ashkelon	0.100256
Omagh	0.0978048
"Crown Heights"	0.0912918
"Hyde Park"	0.0831521
Dhahran	0.0818626
Bedford-Stuyvesant	0.0777756
low-income	0.0768605
Khulna	0.0721429
Soweto	0.0641445
Beersheba	0.0617936
Buckhead	0.0616342
Bensonhurst	0.061424
Batticaloa	0.0611128
"Planet Hollywood"	0.0606273
CCA	0.0595845
"Abu Dis"	0.0594084
Kitgum	0.0588794
Tribeca	0.058449
"Old Town"	0.0583602
"Har Homa"	0.0582944
"La Paz"	0.0575976
Cyberjaya	0.0574647
Brentwood	0.0574451
"North Beach"	0.0574414
"Borough Park"	0.0570454
Ambon	0.0568837
Dunwoody	0.0566282
"Mekong Delta"	0.0565886
"Granada Hills"	0.0559883
Karan	0.0555234
Folsom	0.0554922
Jayapura	0.0554767
UTA	0.0543139
Soho	0.0543035
Attica	0.0542553
Algiers	0.0542252
Jericho	0.0530067
"Park Slope"	0.0529405
BRIGHTON	0.0524836
Kandy	0.0519586
Riverdale	0.0518648
"Santa Clara County"	0.0518564
"San Quentin"	0.050801
"Forest Hills"	0.0503558
"Little Havana"	0.0500251
"Cobb County"	0.0497549
predawn	0.049733
"Washington Heights"	0.0494891
"Windy City"	0.0494752
"South Boston"	0.0492625
"South End"	0.0491094
Englewood	0.0486466
"Pitt County"	0.047892
Londonderry	0.0477363
TEGUCIGALPA	0.0476388
Wallingford	0.0474929
"Garden State"	0.046914
"Brighton Beach"	0.0458509
Mumbai	0.0457961
Roxbury	0.0457893
landmine	0.045661
"night time"	0.0452016
Mbabane	0.0451572
Williamsburg	0.0446842
Bundibugyo	0.0444774
Portadown	0.04393
Lakeland	0.0438661
Sihanoukville	0.0434797
"Silicon Alley"	0.0433979
"Tarrant County"	0.0433417
Lockerbie	0.0433332
Northland	0.0432681
Nagasaki	0.0432521
Vladikavkaz	0.0431982
Longview	0.0429275
FALN	0.0427416
"Twin Cities"	0.0424204
"Guatemala City"	0.0423326
"Palm Beach Gardens"	0.0422176
Jezzine	0.0421967
nonwhite	0.0421357
"two @@@@"	0.0420905
Vavuniya	0.0419341
Bellingham	0.0417548
Whitbread	0.0416536
Hastings	0.0414652
Brcko	0.0410162
Dorchester	0.0408123
Bronx	0.0405753
Westport	0.0405258
Kennebunkport	0.0403101
"Little Italy"	0.0402199
"West Berlin"	0.0401989
Guadalajara	0.0401231
))
(broad (desc 12774.4) (sims
Roski	0.115874
Cortines	0.0810867
Ovitz	0.0802448
"Eli Broad"	0.0784415
sweeping	0.0687604
"Michael Ovitz"	0.0596808
Furman	0.059523
broad-based	0.0543665
Riordan	0.0532283
radical	0.0518608
Rifkind	0.0469338
Engler	0.0455527
McNair	0.045479
Zacarias	0.0437583
Crowley	0.0436789
Michaels	0.0430432
Moceanu	0.0429071
Berenson	0.0428893
CARSON	0.0428752
"U.N. agency"	0.042803
Coverdell	0.0426706
Caldera	0.0426673
Isakson	0.0424782
Valenzuela	0.0421054
Shevardnadze	0.0418695
Chadwick	0.0415232
Bildt	0.0413296
Schuessel	0.0412015
Thomson	0.0410671
Ammiano	0.0405906
"New Democrat"	0.0405698
Tauzin	0.0403811
Rosenblatt	0.0402696
trump	0.0401476
))
(broad-based (desc 4024.68) (sims
proactive	0.0927932
"African Economic Community"	0.0912457
"African Union"	0.0846124
multi-ethnic	0.0807675
medium-term	0.0739906
free-market	0.0732672
FTAA	0.0720822
slam-dunk	0.0698342
"solid ground"	0.0674141
eye-opening	0.0658499
"less than one percent"	0.0648058
market-oriented	0.064788
grassroot	0.0646013
Ulema	0.0639323
"Market system"	0.0631846
Non-governmental	0.0621379
in-depth	0.0607169
slowest	0.0602197
"market economy"	0.0588234
"international criminal court"	0.0578172
"Free Trade Area"	0.0574119
slowing	0.0567681
"ice crystal"	0.0566965
indicative	0.056063
labor-intensive	0.0556186
fast-paced	0.054909
heartening	0.0544954
U.S.-led	0.0541861
user-friendly	0.0539222
"Special Administrative Region"	0.0533918
"HKSAR Government"	0.052516
fast-track	0.052372
"crisis situation"	0.0520142
FTA	0.0518902
"house of cards"	0.0516255
gallstone	0.0515911
"HK SAR"	0.0515515
"Joint Military Commission"	0.0513665
U.S.-Russian	0.0510179
"parliamentary democracy"	0.0509342
downbeat	0.0506822
"credit system"	0.0504801
smallest	0.0504727
hyper	0.0504409
Sino-Russian	0.0503903
good-neighborly	0.0503646
"political movement"	0.0502385
post-@@@@	0.0497294
cross-Straits	0.0496949
AEC	0.0495132
protectionist	0.0493334
"New Democrat"	0.0486891
strongest	0.0486554
collaborative	0.0485567
"tall order"	0.0485346
picky	0.0482675
Russian-U.S.	0.0480167
conciliation	0.0475461
accepting	0.0475194
upfront	0.0471404
homeownership	0.0470333
post-communist	0.0470175
aberration	0.0468469
e-business	0.04666
go-slow	0.0465148
entrepreneurship	0.0462446
backdoor	0.0462444
sub-regional	0.0460396
"customs union"	0.046025
Klaus	0.0460214
"good person"	0.0458859
"set back"	0.0458054
cost-conscious	0.045795
"debt market"	0.0457102
"United Republic of Tanzania"	0.045567
peacetime	0.0455546
take-no-prisoners	0.045533
treehouse	0.0454291
"State Peace and Development Council"	0.0453945
pan-European	0.0450628
Nunavut	0.0449127
pro-business	0.0448116
Sino-U.S.	0.0447829
"breaking off"	0.0447279
hands-on	0.0447236
export-oriented	0.0445611
"chief of state"	0.0445506
win-win	0.0443844
"Export Processing Zones"	0.0441091
"guessing game"	0.0440335
"regular army"	0.0438136
"Provisional Legislative Council"	0.043811
"good story"	0.0437905
Chavalit	0.043652
retro	0.0435472
rapport	0.0432968
"Super League"	0.0432481
"national monument"	0.0432407
UNIDO	0.0432209
antsy	0.0432038
"private corporation"	0.0431495
China-U.S.	0.0430437
polyp	0.0428784
NGO	0.0425971
EAC	0.0420775
"tit for tat"	0.0419706
"Health Insurance Program"	0.0417868
"close call"	0.0417598
"mass transit"	0.0417511
band-aid	0.0417481
Americanized	0.0414362
"home rule"	0.0414304
fluke	0.0413092
aquaculture	0.0411358
hawkish	0.0410919
"about @@@ percent"	0.041056
Sino-Japanese	0.0409776
"work group"	0.0409542
longterm	0.0407896
"white elephant"	0.0407537
elitist	0.0407288
"foregone conclusion"	0.0406532
overreaction	0.0406242
"Ethics Commission"	0.0405309
simpatico	0.0404733
"coal gas"	0.0404388
"joint-stock company"	0.0404186
"Western European"	0.040395
"Election Committee"	0.0403767
KEDO	0.0403464
"seven percent"	0.0403124
"family unit"	0.0402888
populist	0.0402432
reforestation	0.0401335
final-status	0.0400674
"economic system"	0.0400366
))
(broadband (desc 10764.5) (sims
DSL	0.17942
"data communication"	0.177591
ADSL	0.145802
ISDN	0.145792
wireless	0.145493
telephony	0.142478
"fiber optics"	0.137452
multimedia	0.134945
"cable television"	0.126767
CDMA	0.124515
networking	0.123405
e-business	0.120235
modem	0.118599
"phone service"	0.11552
"telephone service"	0.11355
"wireless telephone"	0.11145
Ethernet	0.1103
telecommunication	0.109231
cable	0.106601
long-distance	0.10492
"optical fiber"	0.103025
computing	0.102967
"communications service"	0.102454
bandwidth	0.102209
FireWire	0.101956
Telecom	0.0988854
Internet	0.0963321
"telephone network"	0.0951575
business-to-business	0.0946305
"phone line"	0.0943959
BLUETOOTH	0.0939449
WAP	0.0934894
communication	0.092955
intranet	0.0900181
GSM	0.0896418
"computer network"	0.0886505
SDH	0.0876913
"local area network"	0.0858372
videophone	0.083716
"information technology"	0.0827022
telephone	0.081764
Internet-based	0.0815087
imaging	0.0809871
e-commerce	0.0808842
audio	0.0805863
telemedicine	0.0797909
"Palm VII"	0.0775571
connectivity	0.0770074
USB	0.07676
"cellular phone"	0.0766954
"telephone line"	0.0747967
analog	0.0747479
transmission	0.0746307
broadcasting	0.074182
PC	0.0739876
commerce	0.073605
"personal computer"	0.0726893
"cellular telephone"	0.0726234
software	0.0723473
"communication network"	0.0721801
ATHOME	0.0716966
"data processing"	0.0711483
Mediaone	0.0707245
Telecoms	0.0697176
"information service"	0.0695532
subscriber	0.0695203
digital	0.0693741
"communications network"	0.0691506
"electronic mail"	0.0689963
pager	0.0686773
Entertainment	0.0678379
automation	0.067583
Gaming	0.0674842
Internet@	0.0668454
B@B	0.0663637
"high technology"	0.0662941
"computer hardware"	0.0659557
IP	0.0651079
pan-European	0.0650419
optic	0.0647877
DirecTV	0.0647787
"computer technology"	0.0643773
"Universal Serial Bus"	0.0637076
"caller ID"	0.0634097
TV	0.0632588
"cable system"	0.0632006
"information superhighway"	0.0629647
"fiber optic cable"	0.0627637
"data link"	0.0627141
filtering	0.062548
sensing	0.062428
"coaxial cable"	0.0623002
handheld	0.0620426
T@	0.0620105
ISP	0.0619979
banking	0.0619461
multichannel	0.0617629
Linux	0.0617487
healthcare	0.0616648
"artificial intelligence"	0.0615992
provider	0.0614014
"phone system"	0.0613609
WebTV	0.0604132
"communications technology"	0.0603875
GPS	0.0601388
copier	0.060123
Roadrunner	0.0600618
"communications equipment"	0.0599012
switching	0.0598978
publishing	0.0598938
electricity	0.0597921
Nextel	0.0597061
"road runner"	0.0596339
video	0.0595158
"electric power"	0.0594975
"fuel cell"	0.05943
backbone	0.0591083
asp	0.0587088
fax	0.0586988
intranets	0.0581175
server	0.0580407
"hand-held computer"	0.0576857
fiber	0.0574393
"call waiting"	0.0574219
personalization	0.056735
Portal	0.0565688
hookup	0.0564351
navigation	0.0562505
synchronization	0.0561799
IC	0.0561288
"global positioning system"	0.0560403
transportation	0.0559511
"space travel"	0.055926
desktop	0.0559107
microwave	0.0557727
fibre	0.0557508
MP@	0.0553966
pagers	0.0553159
"telephone system"	0.0547842
analogue	0.0547603
"electrical power"	0.0547188
"solar energy"	0.0546654
"garbage disposal"	0.0546395
Satellite	0.0545776
"consumer electronics"	0.0544903
appliance	0.0543478
"mail order"	0.0542576
sewerage	0.054
Microelectronics	0.0539577
scanner	0.0539176
HDTV	0.0537473
"air travel"	0.0536111
"fax machine"	0.0536067
"line of products"	0.0534615
cellphone	0.053453
mainframe	0.0534443
atm	0.0532359
distribution	0.0529241
biotech	0.0528833
rollout	0.0525634
MSN	0.0523157
"communications satellite"	0.0522402
biotechnology	0.0522067
ExciteAtHome	0.0521835
"computer graphics"	0.0517336
Macintosh	0.0516805
"desktop computer"	0.0516429
"communication system"	0.0515381
aviation	0.0514598
"Windows CE"	0.0512608
TCI	0.0511862
Iridium	0.0511216
printer	0.0510228
handset	0.0509415
collaborative	0.0508526
beeper	0.0508424
"information age"	0.0505722
IDD	0.0503851
"Cox Communications"	0.0503726
switchboard	0.0503688
programming	0.0502341
"World Wide Web"	0.0501198
retailing	0.0501108
semiconductor	0.0500842
AOL	0.0498938
Midi	0.0496683
microprocessor	0.0495711
syndication	0.0493973
"calling card"	0.0492674
workstation	0.0491508
router	0.0490952
"local call"	0.0490312
state-of-the-art	0.048958
rail	0.0489247
TiVo	0.0488672
"cash machine"	0.0487609
hardware	0.0487595
storage	0.048713
browser	0.0486514
Usenet	0.0486074
))
(broadcast (desc 84538.9) (sims
Telecast	0.217726
broadcasting	0.147458
programming	0.144932
newscast	0.134453
television	0.127732
"radio broadcast"	0.125853
"news program"	0.122143
"talk show"	0.116287
coverage	0.1157
show	0.114463
TV	0.112811
interview	0.111533
"news show"	0.10998
"television program"	0.109863
video	0.108989
radio	0.101526
channel	0.10019
special	0.0990033
"prime time"	0.0968823
news	0.0955385
Webcast	0.0946686
program	0.0935863
network	0.0905609
speech	0.0903457
"TV program"	0.0892199
presentation	0.087482
commercial	0.0867957
"television show"	0.0863186
"cable television"	0.0861341
transmission	0.0861074
episode	0.0858506
footage	0.0857618
series	0.0856691
rerun	0.0855605
simulcast	0.0853351
CNN	0.0842743
premiere	0.0835236
concert	0.0825183
publication	0.0821277
tape	0.0819407
AD	0.0817241
Recording	0.0817233
Entertainment	0.0815751
Advertising	0.0811826
event	0.0809023
documentary	0.0809008
"radio station"	0.080706
audio	0.0802516
"television news"	0.0799756
station	0.0799283
service	0.0797878
viewing	0.0793
"TV show"	0.078948
movie	0.0789241
videotape	0.0787296
"television network"	0.0785679
advertisement	0.0785458
CNBC	0.0784945
signal	0.0782965
"news report"	0.0779544
"TV station"	0.0778898
highlight	0.0773345
appearance	0.0761765
segment	0.076148
film	0.0760982
preview	0.0758506
ABC	0.0742817
report	0.0740238
"television station"	0.0737822
address	0.0729898
broadcaster	0.07254
music	0.0723829
airing	0.0723312
announcement	0.0720528
ESPN	0.0718208
MSNBC	0.0712479
debate	0.0705251
edition	0.0703836
ceremony	0.0698147
NBC	0.069569
CBs	0.0692833
"soap opera"	0.0689778
drama	0.0685776
distribution	0.0681441
schedule	0.0680548
cable	0.0679607
newspaper	0.0678641
release	0.0678392
communication	0.0677713
replay	0.0674723
"TV network"	0.0674415
viewer	0.0673609
debut	0.0672465
anchor	0.067187
PBS	0.0666902
"cable network"	0.0665612
message	0.0665534
content	0.0664891
media	0.0664617
site	0.0664213
launch	0.0664065
"Good Morning America"	0.0662328
flight	0.0660396
operation	0.0659709
transcript	0.0658779
game	0.0658168
testimony	0.0655214
miniseries	0.0655136
celebration	0.0653838
lecture	0.0651151
Internet	0.0648997
tour	0.0646767
performance	0.0639455
version	0.0635394
production	0.0634189
taping	0.0632785
"Night Football"	0.0628239
conversation	0.062789
magazine	0.0627813
proceeding	0.0624482
sitcom	0.0624351
"news conference"	0.0624177
newsmagazine	0.0623338
information	0.0614423
"press conference"	0.0613313
story	0.0612969
audience	0.0612917
opening	0.0611389
delivery	0.0611357
publishing	0.0610235
snippet	0.060989
format	0.060817
"Super Bowl"	0.0606179
"game show"	0.0605572
festivity	0.0604848
C-Span	0.0604068
clip	0.060359
statement	0.060327
book	0.0602577
"phone call"	0.0602107
page	0.0601554
trip	0.0599993
activity	0.0599755
Exhibition	0.0598425
commentator	0.0598083
image	0.0597508
gathering	0.0597355
meeting	0.0595649
picture	0.0595044
rating	0.0594374
sport	0.0593989
travel	0.0591493
outlet	0.0590009
sermon	0.0589603
demonstration	0.0589554
data	0.0588842
billboard	0.0586136
contest	0.0585697
Showtime	0.0584561
chat	0.0584419
BBC	0.0584354
parade	0.058398
access	0.0583884
hearing	0.0583341
finale	0.0581272
"conference call"	0.0580871
auction	0.0579933
commentary	0.0579263
MTV	0.0578384
viewership	0.0577784
session	0.0574088
festival	0.0573832
"phone service"	0.0572767
display	0.0572679
"TV commercial"	0.0572329
"time slot"	0.0571503
document	0.0570278
camera	0.0570183
deposition	0.0569965
"advertising campaign"	0.0569308
sale	0.0568282
infomercial	0.0568056
SportsCenter	0.0567089
remark	0.0566319
software	0.0565123
election	0.056392
offering	0.0562822
Promotion	0.0561459
"telephone service"	0.0560505
trial	0.0559207
gig	0.0557091
"telephone call"	0.0555845
campaign	0.0555347
marketing	0.0550305
airwaves	0.0549681
VH@	0.054946
discussion	0.0546846
comment	0.0544351
review	0.0544268
voice	0.0543665
))
("broadcast media" (desc 1489.9) (sims
"Intelligence Ministry"	0.0830264
"legislative branch"	0.0727964
"sea lane"	0.0722384
"television network"	0.071716
vending	0.0625511
"television reporter"	0.0615511
"San Luis Obispo"	0.0614923
"electrical power"	0.0613646
"computer application"	0.0598263
"National Electoral Commission of Nigeria"	0.0595515
"cable television"	0.0575191
airwaves	0.0565817
"machine tool"	0.0553702
"cable system"	0.0535575
"golf equipment"	0.0531238
"wire service"	0.0512275
"Muslim Brotherhood"	0.0508296
"regular army"	0.050614
aftermarket	0.0504912
"print media"	0.0502733
"Armed Police"	0.0502112
"atomic energy"	0.0501354
"communications equipment"	0.0497636
"Texas House"	0.0482764
"mass media"	0.0481218
bioengineering	0.0480589
"savings and loan"	0.0480324
"medical instrument"	0.0477851
Pertamina	0.0477052
"Appropriations Committee"	0.0471843
"Texas Senate"	0.0471584
"Revolutionary Guards"	0.0467486
SPLA	0.0466643
"Council of Guardians"	0.0465801
"intelligence operation"	0.0458767
Yabloko	0.0457482
"US House"	0.0455818
macro-economy	0.0452252
"holy place"	0.0445925
"sheet music"	0.0435092
"U.S. Information Agency"	0.0432999
"communications network"	0.0432608
"alarm system"	0.0431941
"telephone directory"	0.0430699
"medical specialist"	0.0429754
"New Aspiration Party"	0.0429423
"living wage"	0.0428035
NLD	0.0427846
"Denver Post"	0.0426576
refrigeration	0.0426549
telemarketing	0.0425532
"Western Wall"	0.0425509
"water pollution"	0.0424543
"television news"	0.0424089
"horseshoe crab"	0.0423165
ORT	0.0419906
"consumer product"	0.0419671
"satellite receiver"	0.0419649
secularist	0.0419331
"water hyacinth"	0.0416526
"military police"	0.0416133
"animal disease"	0.0415606
"Kosovo Verification Mission"	0.0415442
"social group"	0.0415175
MTI	0.0415161
aeronautics	0.0414791
Isthmus	0.0414502
Shariah	0.041295
"chain store"	0.041223
"Department of Corrections"	0.0410328
"paramilitary organization"	0.0409707
"mainframe computer"	0.0409397
Televisa	0.0408205
Helms-Burton	0.0406872
Mojo	0.0403171
Primedia	0.0402704
"driving school"	0.0402666
diaphragm	0.040233
"legal representation"	0.0401594
videogame	0.0400848
))
(Broadcast.com (desc 4706.36) (sims
GeoCities	0.184923
"U.S. Trust"	0.179177
iVillage	0.175511
Infoseek	0.165733
ascend	0.165706
Lycos	0.158984
"Learning Co."	0.158111
theglobe.com	0.153502
"MediaOne Group"	0.152851
ExciteAtHome	0.15056
Petrofina	0.149229
ALZA	0.147502
Fingerhut	0.147039
Ciena	0.145423
Healtheon	0.144355
Airtouch	0.144057
"Fred Meyer"	0.143318
Emulex	0.143002
Healtheon/WebMD	0.142708
WebMD	0.140979
"Lycos Inc."	0.133567
Priceline.com	0.132083
CDnow	0.130809
Broderbund	0.129789
"U S West"	0.128728
Bestfoods	0.128107
CNET	0.127068
Mediaone	0.126824
Nabisco	0.126566
TheStreet.com	0.12536
"Tele-Communications Inc."	0.124512
TCI	0.123335
"Netscape Communications"	0.122728
XYLAN	0.121975
Nextel	0.121747
"Bankers Trust Corp."	0.121444
NatWest	0.120593
RealNetworks	0.120557
E-LOAN	0.120134
"Bay Networks"	0.119631
Pairgain	0.117781
ZDNet	0.117392
"Union Carbide"	0.117385
"Atlantic Richfield Co."	0.116867
MarketWatch.com	0.116356
"HBO &AMP; Co."	0.115663
RAMBUS	0.115611
"Thermo Electron"	0.115046
"Frontier Corp."	0.115023
YPF	0.114861
EarthLink	0.114768
"Global Crossing"	0.114565
SkyTel	0.113834
"Atlantic Richfield"	0.11356
N@K	0.112722
"Niagara Mohawk"	0.112574
ARCO	0.111388
CMGI	0.111106
Amoco	0.111079
"Nippon Credit"	0.110733
Priceline	0.110589
"Times Mirror"	0.110488
VoiceStream	0.110475
COLTEC	0.110392
UAL	0.110011
"Sprint Corp."	0.109944
tripod	0.108935
"Pacific Century"	0.108415
ETrade	0.108251
ENTREMED	0.108141
MCI	0.10808
REVLON	0.108071
DoubleClick	0.10793
"Alta Vista"	0.107325
Qwest	0.106737
"US Airways"	0.106505
Checkfree	0.106036
"Orange PLC"	0.105768
"Silicon Graphics"	0.105489
SDL	0.105439
GTE	0.105047
Ameritech	0.104262
Warner-Lambert	0.103832
McKesson	0.10378
PolyGram	0.103436
AltaVista	0.103104
Akamai	0.102823
"Computer Associates"	0.102728
eToys	0.102612
DrKoop.com	0.102553
"GTE Corp."	0.101804
Honeywell	0.101475
"Halliburton Co."	0.101358
"Waste Management"	0.101135
Broadcom	0.101126
Yahoo	0.101088
Asarco	0.10074
"Bankers Trust"	0.100555
NetZero	0.100553
"Telecom Italia"	0.100484
Netscape	0.100088
Bristol-Myers	0.100074
"Netscape Communications Corp."	0.099955
Humana	0.0999174
AmeriTrade	0.0998997
Avondale	0.0997253
Seagram	0.0993638
"America Online"	0.0992426
MindSpring	0.0990341
Paribas	0.0989664
Telefonica	0.0985254
BankAmerica	0.0984345
Orangina	0.098388
SmithKline	0.0983582
Mannesmann	0.097898
Agilent	0.0978213
BankBoston	0.0977617
Genentech	0.0973265
"Boston Scientific"	0.0971606
"RJR Nabisco"	0.0970165
Qualcomm	0.0969271
Webvan	0.0968905
"Lotus Development Corp."	0.0965095
"Rolls-Royce Motor Cars"	0.0964492
WorldCom	0.0959296
"JDS Uniphase"	0.0959134
EMC	0.095631
GO.com	0.0952659
"Northeast Utilities"	0.0944007
Comcast	0.0943942
Amgen	0.0942295
Corel	0.0938718
"Airtouch Communications"	0.0936948
"Time Warner"	0.0936457
PEOPLESOFT	0.0934536
Aetna	0.0933717
Chiron	0.0932821
Mobil	0.0932519
"Hambrecht &AMP; Quist"	0.0930854
MP@.com	0.0926969
PRIMESTAR	0.09243
Comsat	0.0918463
"Newport News"	0.0918121
Travelocity	0.0915384
"American Home"	0.0912624
"MindSpring Enterprises"	0.090551
"BankBoston Corp."	0.090521
AMR	0.0903396
RJR	0.0902723
AMP	0.0901841
"Learning Company"	0.0897774
"Mobil Corp."	0.0897761
Inktomi	0.0895062
"America West"	0.0892192
Halliburton	0.0891541
GANNETT	0.0890808
"Relevant Knowledge"	0.0883246
eBay	0.0879814
Totalfina	0.0879316
WebTV	0.0877413
Vivendi	0.0874792
"Red Hat"	0.0874604
"Times Mirror Co."	0.0873646
Conoco	0.0869086
Reel.com	0.086852
"Ameritech Corp."	0.0868363
Weyerhaeuser	0.0863616
Netcenter	0.0862776
Genzyme	0.0860759
Salon.com	0.0860419
Scania	0.0856288
PaineWebber	0.0852478
"Livent Inc."	0.0851447
ATHOME	0.0850924
"Chrysler Corp."	0.0849661
"EMC Corp."	0.0847372
CompuServe	0.0846671
"Times Co."	0.0845888
"US West"	0.0844532
"Canal Plus"	0.0842482
Cendant	0.084053
Astra	0.0840008
Buy.com	0.0839216
"Wells Fargo"	0.0837296
"True North"	0.0836861
"Robertson Stephens"	0.0836829
"P&AMP;G"	0.0836177
"Network Solutions"	0.083572
Alcoa	0.0835651
"Digital Equipment Corp."	0.0834954
"Berkshire Hathaway"	0.0834005
Intuit	0.0833146
Nortel	0.0829717
"Y&AMP;R"	0.0827233
VENATOR	0.0826398
Netcom	0.0824774
BCE	0.0824773
Biogen	0.0824605
MiniMed	0.082457
TELLABS	0.0814988
))
(broadcaster (desc 39813.9) (sims
"television network"	0.142371
announcer	0.137903
commentator	0.123022
sportscaster	0.11998
"TV station"	0.114357
"TV network"	0.108389
operator	0.108385
provider	0.107964
"cable operator"	0.102269
"television station"	0.102081
advertiser	0.099627
journalist	0.0979691
retailer	0.0971494
Programmer	0.0969571
producer	0.0966832
"radio station"	0.095961
developer	0.0954546
insurer	0.0935288
manufacturer	0.0933607
educator	0.0922413
environmentalist	0.0891709
network	0.0883651
company	0.088109
owner	0.0880151
broadcasting	0.087761
"phone company"	0.0876621
scout	0.0874138
publisher	0.087318
entrepreneur	0.086279
evangelist	0.0842554
corporation	0.0841979
filmmakers	0.0840841
employer	0.0839579
regulator	0.0830888
maker	0.0827294
supplier	0.082467
contractor	0.0821059
writer	0.0820246
investor	0.0816179
doctor	0.0813542
carrier	0.0812426
farmer	0.081074
trader	0.0809553
executive	0.0807655
airline	0.0807572
automakers	0.0807568
"broadcasting company"	0.0806911
merchant	0.0801642
politician	0.080138
"venture capitalist"	0.0798322
analyst	0.0797482
musician	0.0797099
businessmen	0.0793045
"telephone company"	0.079042
consumer	0.078915
"insurance company"	0.0786849
grower	0.0785897
scientist	0.0785874
physician	0.0785214
designer	0.07829
distributor	0.078208
organization	0.0779909
"financial institution"	0.0773811
manager	0.077227
"travel agent"	0.076368
banker	0.0762006
advocate	0.0761203
activist	0.0758576
"cable network"	0.0757554
artist	0.0756778
lawmaker	0.0755613
dealer	0.0755362
bookseller	0.0753698
promoter	0.0752176
photographer	0.0747761
buyer	0.0745592
researcher	0.0744927
television	0.0744482
firm	0.0744216
"business leader"	0.074399
player	0.0743251
exporter	0.0739197
utility	0.0735809
channel	0.0733872
reporter	0.0732046
outlet	0.0729158
broadcast	0.07254
correspondent	0.0725186
wholesaler	0.0725183
"mining company"	0.0720189
builder	0.0719555
ISPs	0.0718842
vendor	0.0718698
station	0.0718658
marketers	0.0717454
affiliate	0.0715337
broker	0.0714346
shareholder	0.0711204
administrator	0.0707712
seller	0.0704066
bank	0.0702331
teacher	0.069907
"news media"	0.0698412
collector	0.0698063
academic	0.0697812
"disc jockey"	0.0696709
competitor	0.0694215
critic	0.0692087
refiner	0.0691892
"labor union"	0.0689112
professional	0.0689029
customer	0.0687954
media	0.0684398
"advertising agency"	0.0683713
lawyer	0.0683602
user	0.0682797
legislator	0.0682181
lobbyist	0.0680207
engineer	0.0675801
"newspaper publisher"	0.067573
scholar	0.0675593
cartoonist	0.0674184
"business community"	0.0672096
pundit	0.0671895
athlete	0.0671777
newscaster	0.0669891
employee	0.0669447
host	0.0669316
consultant	0.0669247
homeowner	0.0667609
viewer	0.0663661
citizen	0.0662781
individual	0.0662002
fan	0.0660709
editor	0.0660367
expert	0.0660151
"school district"	0.0659442
columnist	0.0655513
"political leader"	0.0655158
"travel agency"	0.0655153
trainer	0.0654497
"general manager"	0.0654211
worker	0.0653489
"business executive"	0.0652476
sponsor	0.0649523
"pitching coach"	0.0649319
giant	0.0648585
industry	0.0647119
landowner	0.0644168
historian	0.0643766
anchor	0.0642551
lender	0.0641796
agent	0.0639476
prosecutor	0.0638544
cameraman	0.0637806
"power company"	0.0637495
winemaker	0.0635986
"brokerage firm"	0.0635431
"elected official"	0.0633849
comedian	0.0632886
importer	0.0632546
psychologist	0.0632242
agency	0.0632052
radio	0.0631678
"commercial bank"	0.0628866
brokerage	0.0627964
driver	0.0624612
"political party"	0.0623486
"property owner"	0.0623436
partner	0.0621361
grocer	0.0620652
technician	0.0619066
newspaper	0.0616244
pitcher	0.0614622
publicist	0.0614524
steelmaker	0.0612929
institution	0.0610442
"sports writer"	0.0609928
shipper	0.0609078
BSKyB	0.0607929
observer	0.0606903
performer	0.0605664
enterprise	0.0603995
Fishermen	0.060365
NHK	0.0603323
"drug maker"	0.0602026
resident	0.0601422
accountant	0.0600536
"talk show"	0.0599376
jurist	0.0597242
Industrialist	0.0597212
architect	0.0597181
HMO	0.059654
purchaser	0.0595851
"auto maker"	0.0592468
"brokerage house"	0.0590481
parent	0.0589149
"newspaper editor"	0.0588587
financier	0.0587463
"food company"	0.0586656
))
(broadcasting (desc 29216.4) (sims
broadcast	0.147458
publishing	0.141533
telecommunication	0.126275
programming	0.124578
banking	0.114927
communication	0.113587
Entertainment	0.109984
"cable television"	0.109881
television	0.103277
retailing	0.102915
aviation	0.101216
multimedia	0.0991501
Advertising	0.0979221
marketing	0.0976759
"information service"	0.0951654
commerce	0.0935787
networking	0.0930606
Journalism	0.0928642
computing	0.0926254
mining	0.0924729
engineering	0.0905911
"telephone service"	0.0905892
Gaming	0.0905398
transmission	0.0901985
"data communication"	0.0899278
TV	0.0896131
e-commerce	0.0894466
radio	0.0882604
service	0.0881287
broadcaster	0.087761
"higher education"	0.0852649
manufacturing	0.0849843
"information technology"	0.0847978
distribution	0.0847891
telephony	0.0837561
education	0.0832449
sport	0.0821897
business	0.0812038
"phone service"	0.0811895
biotechnology	0.0810279
media	0.080638
network	0.0804054
navigation	0.079923
"high technology"	0.0798867
transport	0.079678
software	0.0781528
technology	0.0779297
transportation	0.0775416
photography	0.0774333
"news program"	0.0774193
tourism	0.0772345
healthcare	0.0771796
agriculture	0.077093
"public service"	0.0770237
merchandising	0.0768013
audio	0.0767963
finance	0.076715
Microelectronics	0.076103
aerospace	0.0756037
industry	0.0754125
syndication	0.0750102
"TV network"	0.0745448
shipping	0.0744028
"health care"	0.0743215
broadband	0.074182
"computer technology"	0.0736945
cable	0.0732498
"communications service"	0.0732354
"chemical industry"	0.0729788
video	0.0726147
retail	0.0725284
printing	0.0724158
"radio broadcast"	0.0720446
shipbuilding	0.0718165
"real estate"	0.0714956
"television news"	0.0705806
automation	0.0703458
teaching	0.0703041
Internet	0.0699834
"radio station"	0.0699249
nursing	0.0698712
Telecom	0.0697701
gambling	0.0695046
channel	0.0694306
"television station"	0.0692248
vending	0.0687593
"TV station"	0.068649
art	0.0686434
"telephone network"	0.0684784
music	0.0684235
Telecoms	0.0678498
"fiber optics"	0.0677699
electronics	0.0677251
"consumer electronics"	0.0675616
academia	0.0674861
telemedicine	0.067169
farming	0.0671056
processing	0.0669856
wireless	0.0667858
research	0.0663863
"cellular telephone"	0.0661294
production	0.0659069
"life science"	0.0658047
"wireless telephone"	0.0657428
construction	0.0656494
Trucking	0.0656143
"traffic control"	0.0655722
insurance	0.06548
refining	0.0653145
"television network"	0.0650541
"family planning"	0.0650496
operation	0.0649677
management	0.0646219
newscast	0.0643585
"postal service"	0.0643507
science	0.0642465
pharmaceutical	0.0639015
"mass media"	0.0635037
"talk show"	0.0634082
animation	0.063226
exploration	0.0631811
"show business"	0.0628743
GSM	0.0625981
imaging	0.0624979
"data processing"	0.06245
"cable network"	0.0624116
coaching	0.0621585
shopping	0.0621086
"oil industry"	0.0620681
venture	0.0618294
bioengineering	0.0617835
publication	0.0617304
semiconductor	0.061667
"computer industry"	0.0613237
Recording	0.0612861
news	0.0612189
infrastructure	0.0610886
Racing	0.0609516
theater	0.060871
telephone	0.0608185
politics	0.0606625
petrochemical	0.0605983
"social service"	0.0604485
"product development"	0.0604423
boxing	0.0602332
"professional football"	0.0602316
health	0.0600727
"electric power"	0.0599552
electricity	0.059869
"TV program"	0.0598356
"print media"	0.0598117
"health service"	0.0597615
e-business	0.0594531
"law enforcement"	0.0593899
sector	0.0591636
medicine	0.0590098
"news show"	0.0589627
Satellite	0.0587435
catering	0.0586461
biotech	0.0585575
trading	0.0585541
iTV	0.0585391
coverage	0.0583741
CNBC	0.0581103
"mass transit"	0.0581102
procurement	0.0580736
access	0.0580451
cinema	0.0579701
aeronautics	0.0579052
"public works"	0.0578951
"pop music"	0.0578092
"investment banking"	0.0577732
"cellular phone"	0.0577418
Housing	0.0575189
Computer	0.0573011
philanthropy	0.0571889
"communication system"	0.0571492
"telephone system"	0.0571418
"air travel"	0.0569109
"television program"	0.0566659
sensing	0.0564468
viewing	0.0564257
airwaves	0.0562685
brokerage	0.0562406
writing	0.0560288
"customer service"	0.0559752
"road construction"	0.0559356
"social welfare"	0.0558938
Telecast	0.0557786
"entertainment industry"	0.0557314
"movie industry"	0.0555938
"social science"	0.0555654
consultancy	0.0554208
"child care"	0.0553431
magazine	0.0552832
"securities industry"	0.0552501
literature	0.0551249
fashion	0.0550918
warehousing	0.0550146
football	0.054906
))
("broadcasting company" (desc 1403.42) (sims
"relay stations"	0.122593
"bank holding company"	0.109497
"toy retailer"	0.102522
"electric company"	0.0902399
"banking company"	0.087931
"manufacturing business"	0.0847106
"savings bank"	0.0836886
"television network"	0.0830425
"TV network"	0.0807674
"publishing company"	0.0780723
newscaster	0.0770328
toymaker	0.0762915
transponder	0.0750819
"trade publication"	0.0750442
"distress signal"	0.0743771
"department store chain"	0.0741595
RCN	0.0734215
"TV station"	0.0731625
Arianespace	0.0715265
"credit bureau"	0.0715182
ECN	0.0709676
"viewing audience"	0.0704696
"cable operator"	0.0695402
tuner	0.0690702
"toy maker"	0.0683705
"radio broadcast"	0.0683678
"gambling casino"	0.068358
"retail chain"	0.0682783
earpiece	0.0675362
"trucking company"	0.066861
"American plane"	0.066542
"Canal Plus"	0.0659882
"news bulletin"	0.0655643
"electronics company"	0.0653306
"power company"	0.0648095
"communication system"	0.0645961
databank	0.0640473
"restaurant chain"	0.063786
shipbuilder	0.06328
chaebol	0.0632612
"telephone system"	0.0630713
"holding company"	0.0629666
evangelist	0.0628025
"communication network"	0.0620809
BSKyB	0.0619646
"service contract"	0.0617694
ISP	0.0617166
"cable network"	0.0613345
"auto company"	0.061116
"security consultant"	0.0611132
"cassette recorder"	0.0608941
drugmaker	0.0607449
issuer	0.0602908
NetZero	0.0601694
"delivery service"	0.0600835
photocopier	0.0600021
"communications technology"	0.0598205
"minority stake"	0.0598018
readout	0.0597372
"telephone network"	0.0595204
"consulting company"	0.0593059
"phone system"	0.0592962
Chris-Craft	0.059114
"satellite receiver"	0.0588425
decoder	0.0587976
"data communication"	0.0583841
"cable system"	0.0582843
"gas company"	0.0581569
"weather satellite"	0.058058
"life insurer"	0.0580563
airwaves	0.057976
fiefdom	0.0576277
GPU	0.0574684
"communications network"	0.0571128
"food company"	0.0569221
"furniture company"	0.0567227
"telephone company"	0.0565243
"film producer"	0.0564946
meatpackers	0.0563066
hookup	0.0560838
"Medicare HMO"	0.0559013
grocer	0.055559
"business organization"	0.0551411
airway	0.054941
antennae	0.0546301
ISPs	0.0543354
"print media"	0.0541578
carmakers	0.0539687
"bag of tricks"	0.0537765
breadbasket	0.0533275
metropolises	0.0530935
"brokerage house"	0.0528971
"wire service"	0.0528343
"Protestant denomination"	0.0527798
"steel company"	0.0527731
"software maker"	0.0526266
bookseller	0.0526095
"communications equipment"	0.0524798
ABS-CBN	0.0516615
telemarketer	0.0516014
"flour mill"	0.0515039
DirecTV	0.0514623
"business enterprise"	0.0514347
"Laura Schlessinger"	0.0511473
"insurance market"	0.0511232
"videocassette recorder"	0.0505874
"computer business"	0.050413
"geographical area"	0.0503343
"drug czar"	0.0503332
JAT	0.050209
"car manufacturer"	0.0501583
play-by-play	0.0500224
issuers	0.0499885
"dairy farm"	0.0499821
enabler	0.0499813
"printing company"	0.0499665
"savings and loan"	0.0498847
Docudrama	0.0498715
airplay	0.0497233
"Don Imus"	0.049613
"radio transmitter"	0.0494912
"toy store"	0.0494741
"communications satellite"	0.0494512
reseller	0.0492024
dramatization	0.0490969
"minority shareholder"	0.0490785
"futures exchange"	0.0489864
"fishing license"	0.0487485
"bus company"	0.0487356
GoTo.com	0.0486933
"clothing chain"	0.0486516
telephony	0.0484934
"telephone operator"	0.0484698
"Strategic Petroleum Reserve"	0.0483326
"disk jockey"	0.0483205
"business unit"	0.0481206
Sputnik	0.0480841
steelmaker	0.0480506
hauler	0.0480473
crematorium	0.0480246
"auto maker"	0.0478727
"semiconductor maker"	0.0478187
"weather forecaster"	0.047605
"picture tube"	0.0476044
"investment trust"	0.04757
"blood bank"	0.0475163
"car maker"	0.0471779
"opera company"	0.0471066
franchisee	0.0470287
"ad blitz"	0.0469783
clicker	0.046802
"newspaper publisher"	0.0467994
"subsidiary company"	0.046751
sportscaster	0.046618
"power system"	0.0465796
"sweet tooth"	0.0465749
"minor-league team"	0.046278
scriptwriter	0.046259
newsmagazine	0.0461344
contigent	0.0459743
playlist	0.0458055
ExciteAtHome	0.0457706
"video equipment"	0.0457588
"mining company"	0.0457477
refiner	0.0457353
Garuda	0.0455932
"surveillance system"	0.045511
highflier	0.0454608
SNCF	0.0454415
"Total Fina"	0.0453839
clearinghouse	0.0451393
Utes	0.0451162
newswoman	0.0450026
"hockey coach"	0.0447933
"parcel of land"	0.0446798
"Chronicle Publishing"	0.044668
homepages	0.0445818
"writing desk"	0.044539
"Liberty Media"	0.0445113
"tool kit"	0.0443186
hurler	0.0443141
"military unit"	0.0442885
"water company"	0.0442827
spas	0.0442323
"storage device"	0.0442218
"cassette player"	0.0442167
"investment house"	0.0441869
"advertising agency"	0.0440411
Elf-Aquitaine	0.044028
newsmagazines	0.0439967
granary	0.0439494
"highway system"	0.0438559
"newspaper editor"	0.0438557
Uunet	0.0437815
weatherman	0.0436858
"social contract"	0.0436188
goal-scorer	0.0435285
emitter	0.043525
retinue	0.043517
compression	0.0434554
))
(Broadcom (desc 1995.44) (sims
Transmeta	0.198679
Emulex	0.183436
Healtheon	0.165199
EMC	0.163353
Autodesk	0.162883
"Thermo Electron"	0.159772
XYLAN	0.158149
"Network Associates"	0.158095
ALZA	0.157914
SDL	0.157671
Starwood	0.156778
"Pacific Century"	0.154534
RAMBUS	0.154388
emachines	0.152569
COLTEC	0.148745
Scientific-Atlanta	0.14748
Sepracor	0.146929
Chiron	0.146313
"Advanced Micro"	0.145839
Seagate	0.145784
Ciena	0.143695
Corel	0.142828
Corning	0.141609
"Northern Telecom"	0.141254
Qualcomm	0.138899
Clorox	0.138523
Nortel	0.137062
TELLABS	0.136705
SGI	0.131558
RJR	0.131434
Gilead	0.130528
Sunbeam	0.130406
MiniMed	0.13026
Biogen	0.129125
"Allied Signal"	0.128914
"JDS Uniphase"	0.128733
Gillette	0.1284
Cerent	0.128016
Genzyme	0.128006
Unisys	0.127547
"Ask Jeeves"	0.127158
"Applied Materials"	0.127103
PEOPLESOFT	0.126684
Bestfoods	0.126427
Pairgain	0.126324
HBOC	0.125975
AMD	0.125839
TYCO	0.12566
"Adobe Systems"	0.124155
"Stride Rite"	0.124069
Inktomi	0.123313
Healtheon/WebMD	0.122688
NTL	0.122568
ExciteAtHome	0.121398
NetZero	0.121344
McKesson	0.120221
Conseco	0.11948
AHP	0.118509
Georgia-Pacific	0.118461
"Boston Scientific"	0.118391
Genentech	0.118266
Priceline	0.117366
Tandy	0.11591
Cendant	0.115872
Weyerhaeuser	0.115701
UAL	0.115511
Symantec	0.114401
Medtronic	0.113722
Infoseek	0.113295
PLDT	0.113059
Broderbund	0.112727
Motorola	0.112165
Halliburton	0.111862
Amgen	0.111796
E-LOAN	0.111557
"Dow Corning"	0.111446
Akamai	0.111077
Equifax	0.110766
"Micron Technology"	0.110684
IDT	0.110519
Providian	0.110486
Cisco	0.110374
WPP	0.11037
AutoNation	0.110051
Vitesse	0.109622
Kodak	0.109119
Livent	0.108401
Checkfree	0.10697
"Computer Associates"	0.106962
Compaq	0.106784
Alcoa	0.106518
Nabisco	0.105777
"Silicon Graphics"	0.105591
ENTREMED	0.105326
CMGI	0.105074
"Advanced Micro Devices"	0.104862
Sycamore	0.10456
VENATOR	0.104184
Raytheon	0.104173
"HBO &AMP; Co."	0.104119
Novell	0.103789
EarthLink	0.103774
NiSource	0.103685
"Global Crossing"	0.102841
"Ocean Spray"	0.102144
"Texas Instruments"	0.102142
Echostar	0.101999
Berkshire	0.101828
HKMA	0.101428
Dupont	0.101414
Cabletron	0.101355
Broadcast.com	0.101126
UAM	0.10101
Honeywell	0.100289
Intel	0.10024
Mattel	0.0994037
Petrofina	0.0994026
Tenneco	0.099222
Pixar	0.0991388
NORTHROP	0.0991304
Allstate	0.0983831
Schlumberger	0.0981105
RealNetworks	0.0980631
DoCoMo	0.0978998
Incyte	0.0978337
WebMD	0.0971447
Warner-Lambert	0.0970773
Polaroid	0.0967238
Norwest	0.0966567
adobe	0.0965712
"RJR Nabisco"	0.0965278
Ti	0.0963575
Micron	0.0961098
Asda	0.0959559
oracle	0.0958887
Qwest	0.0958415
"Abbott Laboratories"	0.0958008
Intergraph	0.095611
AMP	0.0954869
Cadbury	0.0953251
Litton	0.0948628
Albertson's	0.0946132
Ericsson	0.0943797
NCR	0.0940504
"Cisco Systems"	0.0937588
"Hongkong Telecom"	0.0936049
Alltel	0.0933721
Google	0.093209
Alcatel	0.0930588
"P&AMP;G"	0.0927929
IBM	0.0927863
NatWest	0.0923488
Bridgestone	0.0923355
sandpiper	0.0922094
"Dell Computer"	0.0921553
"Dow Chemical"	0.0921202
"Johnson &AMP; Johnson"	0.0920154
REVLON	0.091967
CCE	0.0918351
"U.S. Trust"	0.0918319
"Times Mirror"	0.0917043
"Red Hat"	0.0916844
Pfizer	0.0916189
Deutsche	0.0908886
Delphi	0.090731
Webvan	0.0906671
LIFFE	0.0904026
"International Business Machines Corp."	0.0902978
HP	0.0902343
"Procter &AMP; Gamble Co."	0.0900938
Intuit	0.0900524
Scripps	0.0895162
BankAmerica	0.0890331
"Lucent Technologies Inc."	0.089031
"MCI WorldCom"	0.0889297
"Lucent Technologies"	0.0885881
"Global Crossing Ltd."	0.0885833
"Learning Co."	0.0882884
Terra	0.0881517
"Procter &AMP; Gamble"	0.0880493
"American Home"	0.0878318
AMR	0.0877133
Mannesmann	0.0873868
Aegon	0.0871867
LVMH	0.0870118
Hewlett-Packard	0.0869411
Seagram	0.0866283
Alcan	0.0863705
Daimler	0.0861849
Maytag	0.0859479
Aetna	0.0857743
TRW	0.0857339
Unilever	0.0856885
"Intel Corp."	0.0856595
SmithKline	0.0856008
MACROMEDIA	0.0855053
Salon.com	0.0855031
"Compaq Computer"	0.0854509
Hasbro	0.085372
SunTrust	0.0853393
))
(Broaddrick (desc 1429.62) (sims
Maurizi	0.191903
Willey	0.178063
Hersh	0.173885
Menchu	0.169982
"Anita Hill"	0.165158
Shayler	0.164604
Brawley	0.152489
Alioto	0.149357
Hodler	0.148584
"Gennifer Flowers"	0.1355
Noe	0.132501
Kodikian	0.12891
Speer	0.126176
Glaser	0.125626
Reimer	0.124099
Hiett	0.122905
Jenoff	0.121143
Wigand	0.119454
Briere	0.117758
Ashrawi	0.11757
Markovic	0.117515
Tevanian	0.114513
"Kathleen Willey"	0.108238
Sharma	0.104495
Grasso	0.104426
Fassett	0.103614
CFTC	0.103565
Trulock	0.102405
Schaeuble	0.101965
McLeod	0.100819
Fink	0.10039
Greenwald	0.100362
Mehta	0.100065
Kagalovsky	0.0997476
Lawler	0.0991311
Cornyn	0.0990562
Turetzky	0.0987348
Northup	0.0979453
EEOC	0.0978075
"Paula Corbin Jones"	0.0971971
McDougal	0.0965151
Greco	0.0947199
Shriver	0.0942905
Madden	0.0941503
Mullinax	0.0941348
Ziegler	0.0941123
Adler	0.0939149
khan	0.0922299
Chenoweth	0.0919797
Blumenthal	0.0918205
DERSHOWITZ	0.0913959
Hanley	0.0908617
Whaley	0.0905187
"Patsy Ramsey"	0.0904979
Steele	0.0903669
Arbour	0.0896164
Sorensen	0.0895904
Lovett	0.0887968
Butterworth	0.0887658
Mathews	0.0885829
Soto	0.0875391
McCourt	0.0874274
Borodin	0.0873109
Stahl	0.0872478
Stayner	0.085971
Neulander	0.085756
Zagat	0.0852346
Schwartz	0.0849344
Lowey	0.0844512
Quintana	0.0840955
Hurley	0.0831846
leeson	0.0827998
Boles	0.0825756
McGill	0.0824544
Reilly	0.0822966
Ono	0.081952
Soares	0.0812691
Meissner	0.0806492
Ganga	0.0802472
Kehoe	0.0801902
Portnoy	0.0800508
"Di Canio"	0.0800139
Slatkin	0.079985
Ramsey	0.0799361
Currie	0.0793822
Rowan	0.0790698
Spiegel	0.079007
Simons	0.0788307
Tripp	0.0787418
Dempsey	0.0783098
Petersen	0.0783026
Wasserstein	0.0782063
Ogata	0.0780214
Barron	0.0777953
Dingell	0.0775812
Bellush	0.077556
Muir	0.0774497
Gangelhoff	0.0771654
Larson	0.0771206
Jarrell	0.0771191
Lockyer	0.0770557
Edelstein	0.0768103
Maher	0.0766355
Stephenson	0.0766116
LOUIMA	0.0765962
noone	0.0764537
Dorismond	0.0762698
Caldera	0.0757627
Harris-Lewis	0.0757062
Rosario	0.0754866
Rosenberg	0.0753495
Copeland	0.0752888
Willard	0.0751041
Molinari	0.0748886
"Al Fayed"	0.0748834
Chung	0.0748602
Jovanovic	0.0747414
Hallinan	0.074681
Ickes	0.0744745
MacKay	0.0742903
Rawlings	0.0741383
Hess	0.0741377
Mullins	0.0741148
Shipley	0.0737951
Benton	0.0736465
Chopra	0.0734888
Hahn	0.0734024
Fasano	0.0733239
Moxley	0.0732156
Karr	0.0732097
Rivlin	0.0731908
McGinn	0.0729135
Couric	0.0728652
Pirro	0.0726497
Skuratov	0.072427
Walters	0.0723962
Rideau	0.0720898
Soriano	0.0718794
Bulatovic	0.0718748
Aquino	0.0716733
Loeb	0.0715414
Yazdi	0.0714043
Kumaratunga	0.0710796
Pollard	0.0710126
Marchand	0.071002
Pape	0.0709051
Zucker	0.0708954
kraut	0.0707975
Mucha	0.0707408
Kraus	0.0707018
Doherty	0.070512
"McCaughey Ross"	0.0705015
Sheppard	0.0703482
Webdale	0.0702964
McDaniel	0.0702856
Orton	0.0699381
Lundberg	0.0697807
Newhouse	0.0697281
Simpson	0.0694572
Solzhenitsyn	0.0694001
"Abner Louima"	0.069348
Kurtz	0.0693294
krueger	0.06932
Haney	0.0692681
Caddell	0.0689849
"Vladimir Nabokov"	0.0685987
hale	0.0685534
Sund	0.0684865
Oliver	0.06799
Nilsson	0.067937
ex-girlfriend	0.0678589
Goldin	0.0677919
Pickett	0.0676451
Weis	0.0674648
Bloch	0.067423
Margolis	0.0674028
Doyle	0.0672033
Ritter	0.0671652
Vasquez	0.0671291
Galvin	0.067105
DiCarlo	0.0669385
Grimes	0.0669328
Capps	0.0667054
Edson	0.0666398
Kern	0.0666297
Stacy	0.0665571
Husseini	0.0665206
Peters	0.0664653
Podesta	0.0663632
DONOVAN	0.0663323
Wolfson	0.0662195
Silverman	0.0660702
Swenson	0.0659083
Waxman	0.0658812
Yastrzhembsky	0.0657051
Barrie	0.0655859
Plavsic	0.0655042
Parks	0.0653253
Bechtel	0.0652797
Kennelly	0.0651268
))
(broadening (desc 4515.36) (sims
widening	0.142567
strengthening	0.0877341
Intensification	0.0829903
reestablishment	0.0790836
abolishment	0.0790131
scaling	0.0784562
continuance	0.0780892
thawing	0.075055
deepening	0.0743299
continuation	0.0713534
diversification	0.0709356
activation	0.0685596
furtherance	0.0674439
loosening	0.067255
establishing	0.0672542
upgrading	0.0662257
optimization	0.0656883
hardening	0.0639139
Sino-African	0.0638697
Clinton-Lewinsky	0.0638324
"asset sale"	0.0636522
seven-month	0.0625076
streamlining	0.0616215
easing	0.0614331
breadth	0.0612922
revitalization	0.0610922
reorientation	0.0606863
consolidation	0.0603841
lowering	0.0596903
Tightening	0.058872
Asia-Europe	0.0586826
fulfilment	0.0586247
U.S.-Russian	0.0581298
splintering	0.0580647
liberalisation	0.0580333
nullification	0.0576534
reconsideration	0.0574154
enhancement	0.0568761
phaseout	0.0562298
Sino-French	0.0562257
softening	0.055687
multiplicity	0.0548574
cooling	0.0547116
revamping	0.0543643
resumption	0.0543386
spreading	0.0542423
harmonization	0.0541043
re-opening	0.0539568
reconfiguration	0.053874
termination	0.0538423
Iran-contra	0.0534005
renegotiation	0.053071
redefinition	0.0530161
downgrading	0.0528595
five-month	0.0527836
forming	0.0526061
popularization	0.0524314
U.S.-Japan	0.0523665
fragmentation	0.0518768
warming	0.0516524
realignment	0.0515922
reactivation	0.0515236
fostering	0.0514928
buoyancy	0.0514265
"tax change"	0.0508082
thaw	0.0506154
north-south	0.0502068
acceleration	0.0501366
facilitation	0.0499192
militarization	0.0496144
wide-range	0.0494859
forging	0.0493853
reevaluation	0.0492571
abdication	0.0492459
committment	0.0489458
politicization	0.0489332
renewal	0.0489251
resolving	0.0488708
setting-up	0.0486395
potentiality	0.0485533
validation	0.0484417
centralization	0.0484097
scrapping	0.0483669
toppling	0.0483388
internationalization	0.0482568
curtailment	0.0480548
relaxation	0.0478106
reopening	0.0476516
preponderance	0.0474428
decentralization	0.0474277
cross-Straits	0.0473136
rationalization	0.0472957
time-out	0.0471729
long-running	0.0471494
destabilization	0.0469484
affirmation	0.0469451
initiation	0.0468877
abrogation	0.0462657
worsening	0.0462538
spillover	0.0459696
revaluation	0.0459272
standardization	0.0458719
normalization	0.0458218
reshuffling	0.0456081
suppression	0.045589
narrowness	0.0454685
attainment	0.0453068
enlargement	0.0452267
"policy change"	0.0449958
maturing	0.044941
reinforcement	0.0448885
Sino-Japanese	0.0448653
escalation	0.0447297
usurpation	0.044593
repudiation	0.0444451
narrowing	0.044017
Sino-Russian	0.0437776
slackening	0.0437549
reorganization	0.0435962
four-month	0.0435633
replenishment	0.0435435
aggravation	0.043523
breaking	0.0434204
dispersal	0.0431703
"management change"	0.0431391
Convergence	0.0431262
eight-month	0.0430957
abolition	0.0430528
reassessment	0.0430173
reexamination	0.0429196
Sino-British	0.0428238
elaboration	0.0427802
readjustment	0.0427726
"rapid growth"	0.0426807
dawning	0.0425004
overhauling	0.0422993
Balkanization	0.0422781
democratization	0.0421709
rescheduling	0.0420964
"interest rate increase"	0.041838
"change of direction"	0.0417965
shake-up	0.0415109
deceleration	0.0415095
totality	0.0414867
reappraisal	0.0414779
dilution	0.0414657
downsizing	0.0413021
inter-Arab	0.0411999
revocation	0.0410746
"higher level"	0.0410391
pervasiveness	0.040989
diminution	0.0409145
Russian-U.S.	0.0408695
east-west	0.0408651
"million over five years"	0.0408591
evidences	0.0408436
slowing	0.0408228
paucity	0.0407428
"tax hike"	0.0407333
winnowing	0.0406123
China-U.S.	0.0405543
linking	0.0405325
materialization	0.0403436
retention	0.040301
steamroller	0.0402874
withholding	0.0402263
deferral	0.0402215
U.S.-China	0.0401431
inter-Korean	0.0400128
))
(broadsheet (desc 1724.34) (sims
"El Mundo"	0.138075
"New Straits Times"	0.112301
Izvestia	0.102543
"Weekly Standard"	0.0993409
"Business Day"	0.0990508
tabloid	0.0958269
"Nihon Keizai Shimbun"	0.0946529
Asahi	0.0911131
Hurriyet	0.0894322
"Yomiuri Shimbun"	0.0874753
"Ethiopian Herald"	0.0863031
"Washington Times"	0.0847489
Granma	0.0842043
"Evening Standard"	0.0840833
"Post Express"	0.0840282
"New Nigerian"	0.0831051
"Daily Times"	0.0827078
"Nihon Keizai"	0.0801701
Kommersant	0.0787524
"Bernard Sanders"	0.0767211
"Daily Mail"	0.07482
"Tehran Times"	0.074181
Afrikaans	0.0734504
Yomiuri	0.0732546
Sowetan	0.0727673
newsweekly	0.0727665
"Meretz Party"	0.0727246
"Le Figaro"	0.0725622
"Detroit News"	0.0724217
"East African Standard"	0.07172
"San Francisco Examiner"	0.0712989
"Village Voice"	0.0712339
"San Jose Mercury News"	0.0711774
"Moscow Times"	0.0704136
Noticias	0.070137
Politika	0.0696493
telegraph	0.0696429
Tous	0.0692861
Haaretz	0.0692541
"International Herald Tribune"	0.0692419
"Sydney Morning Herald"	0.0687395
"tabloid newspaper"	0.0683529
"Egyptian Gazette"	0.0683257
al-Hayat	0.0682461
"New York Herald Tribune"	0.0681215
"National Post"	0.0666011
"Al Hayat"	0.0665763
"Straits Times"	0.0657994
"Nhan Dan"	0.0656907
"Financial Times"	0.0650477
"Yediot Ahronot"	0.0648116
"Rodong Sinmun"	0.0641961
"Asahi Shimbun"	0.0641344
Maariv	0.0639803
"Daily Nation"	0.0629149
"Financial Mail"	0.0629094
Itogi	0.0626922
"St. Louis Post-Dispatch"	0.0623983
"Atlanta Journal"	0.0623078
"Indonesian Observer"	0.0622781
"New Vision"	0.062171
"The Monitor"	0.0612695
"Kenya Times"	0.0612033
"Business Times"	0.061082
gazette	0.0608997
"Jerusalem Post"	0.0607336
Salam	0.0605941
handbill	0.0602844
"El Pais"	0.0598297
Inquirer	0.0596822
"USA TODAY"	0.0594364
Al-Ahram	0.0591164
"Guardian Council"	0.0583939
"Daily Telegraph"	0.0582949
"Alam Al Yom"	0.0582178
Oregonian	0.0581097
ZCTU	0.0578711
"Orange County Register"	0.0573332
backbencher	0.0565956
"The New Vision"	0.0563012
GQ	0.0558289
"utility program"	0.055423
Brasil	0.0551513
Malaya	0.0548301
"North Carolina Republican"	0.0548107
Bild	0.0545952
"Free Democratic Party"	0.0544896
"TV guide"	0.0543317
"Daily Star"	0.0542634
"prayer book"	0.0533007
tribune	0.0530257
L'Equipe	0.0529882
"Miami Herald"	0.0529432
"Zambia Daily Mail"	0.0528515
"Business Week"	0.0524775
"Koha Ditore"	0.0522757
periodical	0.0515335
"National Enquirer"	0.0513751
"German language"	0.0513397
Eudora	0.050835
obit	0.0507171
"Southern Democrats"	0.050283
"sheet music"	0.0502756
"Khaleej Times"	0.0498003
"Wear Daily"	0.0495801
"National Journal"	0.0495708
"Jakarta Post"	0.049417
verity	0.04937
RIPOSTE	0.0493371
BS	0.0491502
humanist	0.0489987
sorter	0.0483394
wordsmith	0.0483331
"Consumer Reports"	0.0481889
Scripps	0.0480869
Tennessean	0.0480843
sobriquet	0.047794
apparatchiks	0.0477257
"Denver Post"	0.0476455
"New York Post"	0.0472496
rejoinder	0.0471593
Salon.com	0.0466564
"Rolling Stone"	0.0466152
Sera	0.046587
Star-Ledger	0.0463414
Enquirer	0.046286
"Cable &AMP; Wireless"	0.0462008
Reforma	0.0461189
"New York Observer"	0.0460737
"English language"	0.0460306
"Al Ahram"	0.0459311
Al-Thawra	0.0459096
IAF	0.0458131
intro	0.0457982
"Chicago Tribune"	0.0452819
"New York Times Co."	0.0452706
Ogata	0.045139
"slave ship"	0.0449515
"Guangming Daily"	0.044883
"political boss"	0.0447739
"musical group"	0.0445226
experimenter	0.044518
"Los Angeles Times"	0.0442353
"Atlanta Journal-Constitution"	0.0441706
"East African"	0.0441324
soundbites	0.0440125
"Knight Ridder"	0.043694
"New England Journal"	0.0436632
Yabloko	0.0436417
"J. Crew"	0.0436351
"political movement"	0.0433733
intelligentsia	0.0433649
"wire service"	0.0431387
Braille	0.0429938
almanac	0.0429412
prospectus	0.0428118
"comic book"	0.0427548
"Southeastern Legal Foundation"	0.0427318
"yellow pages"	0.0426768
"order form"	0.0426128
"Kathmandu Post"	0.0425748
Ferraris	0.0425284
GC	0.0423728
"Hartford Courant"	0.0421164
Banknote	0.0420959
stayaway	0.0420657
"New York Republicans"	0.0420564
"community newspaper"	0.0420253
"mosquito net"	0.0419024
moralism	0.0417958
Lancet	0.0416732
"Atlantic Monthly"	0.0416165
"pressure group"	0.0415395
"Des Moines Register"	0.0414736
PATHFINDER	0.0414607
Urdu	0.0414307
O'Keeffe	0.041421
Afrikaner	0.0413834
"South Carolinian"	0.0413347
Yavlinsky	0.0412975
"Le Monde"	0.0412639
ideologue	0.0412498
GANNETT	0.0412095
"Austin American-Statesman"	0.0411943
guidebook	0.0410069
oddsmakers	0.0409692
"TV commentator"	0.0408393
"Council of Guardians"	0.0408269
Antara	0.0405646
"Rush Limbaugh"	0.0404188
"Fast Company"	0.0403661
Qatari	0.0402567
"Free Democrats"	0.0401525
"Arizona Republic"	0.0400977
"European Bank for Reconstruction"	0.0400694
))
(broadside (desc 4859.92) (sims
barb	0.0859456
potshot	0.0834806
jab	0.0798967
swipe	0.0781526
diatribe	0.075513
salvo	0.0737103
invective	0.0700771
culpa	0.0665894
tirade	0.061988
gaffe	0.0604416
"ad blitz"	0.0603307
Scud	0.0602787
rebuke	0.0576216
critique	0.0575366
rebuttal	0.0563549
"enforcement action"	0.0559185
bashing	0.0547758
misstep	0.0544021
RIPOSTE	0.0539408
lashing	0.0538014
"proxy fight"	0.0537772
jeremiad	0.052818
screed	0.0525773
"trial balloon"	0.0522166
cannonball	0.0512879
denunciation	0.051231
counterattack	0.0511847
fusillade	0.0509787
missive	0.0509251
zingers	0.0507991
encyclical	0.0506784
bombshell	0.0506612
volley	0.0501243
backlash	0.0498936
"knockout punch"	0.0496175
polemic	0.0492302
Gambit	0.0491325
onslaught	0.0485471
put-down	0.0480535
dustup	0.0480481
"tax income"	0.047916
crowd-pleaser	0.0472156
one-hopper	0.046995
"campaign official"	0.0468198
jibe	0.0467046
admonition	0.0466936
blunder	0.0463635
smooch	0.0461598
vitriol	0.0460736
firewall	0.0457518
"management change"	0.0455503
windscreen	0.0440637
pogrom	0.0440547
fisticuffs	0.044017
counter-offensive	0.0438997
gibe	0.0438021
Vilification	0.0429703
rant	0.0425825
"air attack"	0.0424961
"media consultant"	0.0424201
thunderbolt	0.0423825
"direct action"	0.0423101
goalpost	0.0422159
turnabout	0.0421896
shindig	0.0421862
harangue	0.0418261
lamentation	0.0418257
slipup	0.0417752
spanking	0.0417063
"legal action"	0.0416829
"bankruptcy proceeding"	0.0416791
"finding of fact"	0.0416418
recrimination	0.0416131
"political campaign"	0.0415217
"personal appeal"	0.0414311
whipping	0.0410974
ploy	0.0409398
"summary judgment"	0.0409176
"surprise attack"	0.0406485
"department head"	0.0405727
electability	0.0403908
sparring	0.0403089
filibuster	0.0401892
))
(Broadway (desc 64474.5) (sims
off-Broadway	0.119217
"Fifth Avenue"	0.116604
"Seventh Avenue"	0.106017
avenue	0.104568
"Madison Avenue"	0.0972508
street	0.0954302
theater	0.0915306
"West End"	0.0910475
Hollywood	0.086666
musical	0.0842602
stage	0.0792189
"Off Broadway"	0.077354
cabaret	0.0771045
television	0.0767858
"main street"	0.0734528
St.	0.072418
opera	0.0712823
TV	0.071227
ballet	0.067792
"Wall Street"	0.0673568
"Lincoln Center"	0.0643299
dance	0.0640888
screen	0.0637284
movie	0.0633294
film	0.0623595
vaudeville	0.0616033
"West Coast"	0.0600022
"country music"	0.0590748
Jazz	0.0587836
campus	0.0586783
ragtime	0.0583897
"musical theater"	0.0583818
"Times Square"	0.0574543
"New York"	0.0570383
concert	0.0566208
"East Coast"	0.0561746
CBs	0.0552173
"Capitol Hill"	0.0548528
MTV	0.0546094
sitcom	0.0544512
"Park Avenue"	0.0542515
"Metropolitan Opera"	0.054247
tour	0.0541947
"motion picture"	0.0534634
boulevard	0.0531643
beach	0.0529249
LONDON	0.0528106
road	0.0525957
met	0.0522729
newsstand	0.052245
studio	0.052068
Manhattan	0.0518898
cinema	0.0514059
comedy	0.0513545
"Rockefeller Center"	0.0510391
HBO	0.0508825
L.A	0.0507098
"Carnegie Hall"	0.0506905
"Lower East Side"	0.0501802
music	0.050146
radio	0.0500505
park	0.0500362
"Las Vegas"	0.0496081
runway	0.049499
"Los Angeles"	0.0483883
rap	0.0481538
baseball	0.0480242
video	0.0474781
museum	0.0473578
sport	0.0467613
"classical music"	0.0467144
square	0.0464676
Sundays	0.0463874
NBC	0.0463522
NBA	0.046211
mall	0.0460273
revival	0.0458944
restaurant	0.0458617
"Night Live"	0.0457822
Madison	0.0453999
sidewalk	0.0453835
garden	0.0452599
floor	0.0452305
"golf course"	0.0450774
"PGA Tour"	0.0449926
"Madison Square Garden"	0.0448861
"television show"	0.0448407
NFL	0.0448323
web	0.044744
"Long Island"	0.0447236
PBS	0.0446698
"opera house"	0.0445435
art	0.0445122
"Super Bowl"	0.0444281
"rock 'n' roll"	0.0444227
"Star Trek"	0.0444172
Paris	0.0443348
nightclub	0.0443295
Nashville	0.0443137
album	0.0443084
arena	0.0443082
"Night Football"	0.044249
festival	0.0441126
"show business"	0.0441038
"TV show"	0.0440523
ABC	0.0437973
"San Francisco"	0.0437311
rock	0.0436641
"feature film"	0.0436157
Chicago	0.0434636
"Interstate @@"	0.0433916
postseason	0.0432774
earth	0.0432291
Internet	0.0431852
shore	0.0429929
football	0.042974
thoroughfare	0.0428026
"New York City"	0.0427809
NHL	0.0422576
drama	0.0422171
"soap opera"	0.0420128
sideline	0.0419211
"pop music"	0.041904
"Upper East Side"	0.0418774
subway	0.041849
scene	0.0417548
island	0.0417138
"city center"	0.0416857
shelf	0.0416708
table	0.0415109
circuit	0.0414716
Boston	0.0412808
Song	0.0412572
cafe	0.0412327
Recording	0.0411573
pier	0.0411192
Harlem	0.0410783
boxing	0.0409484
intersection	0.0408612
Reggae	0.0408312
"Lion King"	0.0407567
gallery	0.0407324
blockbuster	0.040619
recital	0.0406048
"Central Park"	0.0405801
repertory	0.0405524
"NYPD Blue"	0.0404136
basketball	0.0401772
I-@@	0.0401767
Vega	0.0401542
hill	0.0400976
Disney	0.040076
))
("Broadway Books" (desc 1544.27) (sims
"William Morrow"	0.272051
"Basic Books"	0.250875
"Oxford University Press"	0.243507
"Chronicle Books"	0.234181
"Free Press"	0.224047
"Farrar, Straus &AMP; Giroux"	0.210282
Doubleday	0.203656
"Houghton Mifflin"	0.198106
"Warner Books"	0.183587
Scribner	0.181473
"Simon &AMP; Schuster"	0.173137
Knopf	0.171208
Ballantine	0.161683
Hyperion	0.160207
"Henry Holt"	0.159351
HarperCollins	0.157274
"Pocket Books"	0.1501
Dutton	0.140139
"Random House"	0.131911
"St. Martin"	0.120612
MacMillan	0.115794
"Modern Library"	0.111665
"W.W Norton"	0.104145
Abrams	0.0996205
"Koha Ditore"	0.0966392
Schuster	0.0962845
Bantam	0.0904843
"Central Bureau of Statistics"	0.0901744
Norton	0.0868665
Putnam	0.0823243
Morrow	0.0818735
workman	0.080349
scholastic	0.0777936
"Satanic Verses"	0.0772614
"Information Office"	0.076576
Berkley	0.0758178
"Electronic Arts"	0.0755203
Riverhead	0.0721852
"Census and Statistics Department"	0.0688698
"Public Affairs"	0.0687942
"Time Inc."	0.0681921
"Hong Kong Monetary Authority"	0.0670741
artisan	0.0649363
Delacorte	0.0644395
Pantheon	0.0639146
Avon	0.0626751
"Conde Nast"	0.0604395
McGraw-Hill	0.0598574
capo	0.0579112
"New York Times Co."	0.0577949
Searle	0.0563373
"Gannett Co."	0.055298
takedown	0.0548989
"NL Rookie"	0.0546047
"Families USA"	0.0543214
"Le Figaro"	0.054311
"State Administration of Taxation"	0.0529108
"Pew Research Center"	0.0526731
Jian	0.0526384
Reforma	0.0520157
"Hearst Magazines"	0.0508217
"Wen Wei Po"	0.0504251
"Enron Corp."	0.0499833
"Human Rights Campaign"	0.0498289
"Central Bank of Kenya"	0.0495399
"Hearst Corp."	0.0490389
Maariv	0.0483261
"State Environmental Protection Administration"	0.047736
"Washington Times"	0.0474073
"People's Bank of China"	0.0474057
SkyTel	0.0472775
"Ministry of Industry"	0.0467968
"Orange County Register"	0.0459645
"New Straits Times"	0.045931
"China Airlines"	0.0456703
"Times Co."	0.0453358
"State Statistics Bureau"	0.0451603
"American Association"	0.0448855
"State Administration for Industry"	0.0448544
"National Archives"	0.0443606
"Anti-Defamation League"	0.044344
Rubicon	0.0441361
PBC	0.0440953
"Vietnam Airlines"	0.0438223
"National Research Council"	0.0437371
"State Bureau of Environmental Protection"	0.043727
"Cato Institute"	0.043726
HARDCOVER	0.0433308
yearbook	0.0429666
"Ministry of Labor"	0.0427062
Wiley	0.0423021
Eurostat	0.0418828
HKMA	0.0417864
Prima	0.0416531
"Cabernet Sauvignon"	0.0415472
"Des Moines Register"	0.0414693
"Dallas Morning News"	0.0412938
"Yomiuri Shimbun"	0.0409316
"publishing company"	0.0406122
Tootsie	0.0404752
"State Planning Commission"	0.0403925
"Beauty Queen"	0.0401908
"Congressional Research Service"	0.0401099
))
(brocade (desc 3273.84) (sims
velvet	0.181347
silk	0.164536
lace	0.157339
chenille	0.156957
chiffon	0.154351
satin	0.149014
taffeta	0.143865
tulle	0.142117
suede	0.137945
embroidery	0.13429
Sari	0.126326
clingy	0.125589
linen	0.123297
mohair	0.121812
chintz	0.116807
plaid	0.114206
organza	0.111354
denim	0.10686
cashmere	0.103944
tweed	0.103349
kimono	0.101075
drapery	0.0987582
wool	0.0986169
leather	0.0969877
"navy blue"	0.0948377
polyester	0.0930291
sequin	0.0914927
"royal blue"	0.0912124
nylon	0.0884378
"powder blue"	0.08802
tuxedo	0.0862167
flannel	0.0855185
rhinestone	0.0814738
fleece	0.0804507
rayon	0.0804233
tunic	0.0801106
petticoat	0.0795849
mesh	0.0788739
"dark blue"	0.0788709
halter	0.0775265
gauze	0.0768667
gingham	0.0767886
beading	0.076407
caftan	0.0760471
upholstery	0.0753495
crepe	0.0741548
vinyl	0.0728749
feather	0.0724588
silks	0.0708757
kevlar	0.0701295
fur	0.0696974
"polka dot"	0.069423
Armani	0.0692778
cotton	0.0683076
slipper	0.0678976
bedspread	0.0667922
blouse	0.0656337
"evening gown"	0.0652943
"ball gown"	0.0651181
camisole	0.0635653
sweater	0.0626321
worn	0.0619456
mink	0.0617744
corduroy	0.0617383
ribbon	0.0613498
corset	0.0611213
"tissue paper"	0.0603652
applique	0.0587909
black-and-white	0.0584292
scarf	0.0582679
curtain	0.057332
cardigan	0.0572728
poinsettia	0.0565014
porcelain	0.05644
flack	0.0562377
pajama	0.0562357
bodice	0.0560983
sheath	0.0560455
bikini	0.0557418
tablecloth	0.0557378
"pants suit"	0.0554966
tassel	0.0552514
laminate	0.0550481
Burgundy	0.0549116
"dark red"	0.0547172
"evening dress"	0.0546247
hosiery	0.0544351
burlap	0.0542985
slinky	0.0539955
streamer	0.0539522
shorts	0.053739
tapestry	0.0536292
COUTURE	0.0534929
"cocktail dress"	0.0533888
"wrapping paper"	0.0524531
"olive green"	0.0523231
bustier	0.0523063
fuchsia	0.0520629
trouser	0.0509517
raincoat	0.0508055
yarn	0.0505755
wallpaper	0.0503415
"evening bag"	0.0502977
chaise	0.0502791
Eames	0.0499016
knitwear	0.0498952
pashmina	0.049593
"wall painting"	0.0493468
Dior	0.0493074
Versace	0.0483941
Lycra	0.0480139
jumpsuit	0.0479495
settee	0.0479479
spandex	0.047862
patchwork	0.0476383
velcro	0.0476246
Gaultier	0.0474251
pajamas	0.0473632
molding	0.0472938
armband	0.0471344
pullover	0.0468961
ivory	0.0468856
quilt	0.0466973
waistcoat	0.0466436
anorak	0.0463611
lettering	0.0462854
handkerchief	0.0461838
bandanna	0.0461772
celluloid	0.0460844
ceramic	0.0460457
needlepoint	0.0460105
"blue jean"	0.046008
shawl	0.0460001
piping	0.0457297
tights	0.0455393
confetti	0.0450096
pigment	0.0445695
nightgown	0.0443992
rawhide	0.0443133
"Christian Dior"	0.0442414
rug	0.0441402
woolen	0.0439592
glassware	0.0438513
flak	0.0435498
Pottery	0.0433133
flapping	0.0431684
"stiletto heel"	0.0431221
"deep red"	0.0430822
pantsuit	0.0429706
pastel	0.0429444
Pendleton	0.0429224
turquoise	0.0423089
aqua	0.0419579
filigree	0.0414443
wraparound	0.041444
taupe	0.0412893
"place mat"	0.0412245
"Donna Karan"	0.041198
rattan	0.0411353
Calla	0.0410342
leopard	0.0408857
tricolor	0.0406849
"space age"	0.0405919
"jigsaw puzzle"	0.0403118
wicker	0.0401386
stucco	0.0400769
))
(Broccoli (desc 13617.7) (sims
spinach	0.278055
cabbage	0.260061
cauliflower	0.256083
"brussels sprout"	0.251896
carrot	0.246084
"green bean"	0.238507
celery	0.232939
asparagus	0.229749
lettuce	0.225468
zucchini	0.222647
pea	0.219119
Kale	0.218718
radish	0.216334
tomato	0.215647
potato	0.215185
onion	0.212577
turnip	0.204461
beet	0.19224
artichoke	0.192172
fennel	0.19082
leek	0.181815
okra	0.179306
"sweet potato"	0.178847
cucumber	0.177625
eggplant	0.176163
arugula	0.175737
mushroom	0.170625
squash	0.170285
bean	0.169371
chard	0.169212
"green onion"	0.160324
vegetable	0.159923
noodle	0.159476
corn	0.156321
"bell pepper"	0.15612
rutabaga	0.154489
"fava bean"	0.15447
RHUBARB	0.154202
Collard	0.152494
Garlic	0.149921
"red pepper"	0.148933
"lima bean"	0.147158
parsnip	0.146841
"green pepper"	0.146727
scallion	0.14635
"collard greens"	0.145909
watercress	0.14027
avocado	0.139167
"red onion"	0.136891
parsley	0.136139
pepper	0.136114
shrimp	0.135905
"black-eyed pea"	0.133912
lentil	0.133141
pasta	0.132946
cheese	0.132586
Chickpea	0.131019
ricotta	0.129454
chicken	0.126614
"string bean"	0.126611
"winter squash"	0.125385
sauerkraut	0.125007
pumpkin	0.124698
cilantro	0.123953
melon	0.123394
mango	0.12326
pork	0.123042
tofu	0.122313
olive	0.122292
"goat cheese"	0.12185
watermelon	0.121557
pancetta	0.121344
"snow pea"	0.121069
shallot	0.120066
tortellini	0.120003
sausage	0.119721
"Swiss chard"	0.119128
"pine nut"	0.118169
chive	0.11792
florets	0.117836
blueberry	0.117477
ham	0.117373
Basil	0.117372
sprout	0.117301
rice	0.116289
"chicken breast"	0.115655
"roast beef"	0.115606
"black bean"	0.115399
"Chinese cabbage"	0.115367
Endive	0.114609
veggie	0.114169
mesclun	0.112665
"orange juice"	0.112424
pineapple	0.111394
plantain	0.111367
peach	0.111205
walnut	0.111092
"tomato sauce"	0.111075
clam	0.111002
salad	0.110996
macaroni	0.110223
bacon	0.109187
sauce	0.107905
barley	0.107424
egg	0.107377
"bok choy"	0.107344
"olive oil"	0.107297
"chicken broth"	0.107244
"french fries"	0.107197
dill	0.106973
mozzarella	0.106936
meat	0.106809
yam	0.106732
"cherry tomato"	0.106659
broth	0.10587
pecan	0.105789
jalapeno	0.105605
Sorrel	0.104972
tarragon	0.104486
mint	0.104352
bread	0.104302
apple	0.104073
"bean sprout"	0.104044
tomatillo	0.103413
almond	0.103202
coconut	0.103199
"white bean"	0.102433
fig	0.102013
steak	0.101909
pear	0.101866
soybean	0.101334
pilaf	0.100932
cornbread	0.100842
herb	0.10037
"ground beef"	0.100355
mayonnaise	0.0998338
"white rice"	0.0997591
raspberry	0.0997043
chilies	0.0995787
yogurt	0.0994284
dumpling	0.099426
oregano	0.0994115
strawberry	0.09941
banana	0.0993192
lemon	0.0990172
anchovy	0.0984761
soup	0.0984201
cranberry	0.09837
"iceberg lettuce"	0.0978718
beef	0.0976679
frisee	0.0976366
"water chestnut"	0.097621
spaghetti	0.0967552
thyme	0.0961849
romaine	0.0961728
scallop	0.0961576
tuna	0.0958973
Parmesan	0.0949776
mussel	0.0949452
peanut	0.0944163
fruit	0.0942428
"black olive"	0.0939069
salmon	0.0938216
grape	0.09358
pesto	0.0933615
ginger	0.0928566
tortilla	0.0926428
"hot pepper"	0.0925933
"sugar cane"	0.092281
mustard	0.0921743
puree	0.0919307
apricot	0.0919136
"wild rice"	0.0914263
"coconut milk"	0.0913765
kernel	0.0913165
crab	0.0910591
raisin	0.0910541
morel	0.0910333
"sweet corn"	0.0908279
"root vegetable"	0.0904278
rosemary	0.0901158
"lime juice"	0.0898729
butter	0.0898107
"citrus fruit"	0.0895917
octopus	0.0889092
chiles	0.0881661
cassava	0.0880307
pickle	0.0879285
salami	0.0874109
"lemon juice"	0.0871123
meatloaf	0.086939
milk	0.0868817
crumb	0.0862294
lobster	0.0857895
oat	0.0855963
papaya	0.0852972
"potato salad"	0.0852452
"peanut oil"	0.0852121
cantaloupe	0.0850717
gravy	0.0847832
))
(brochure (desc 29250.6) (sims
pamphlet	0.227367
booklet	0.185611
leaflet	0.168326
flier	0.164774
catalog	0.157581
poster	0.145361
newsletter	0.136837
guidebook	0.13133
mailings	0.129628
manual	0.128245
postcard	0.127563
prospectus	0.124688
advertisement	0.120949
guide	0.115194
questionnaire	0.114141
document	0.107709
"promotional material"	0.106582
AD	0.104526
memo	0.103559
map	0.103192
handbill	0.101881
"newspaper ad"	0.101612
handbook	0.100956
literature	0.0994206
textbook	0.0985885
sticker	0.0983768
copy	0.0977359
book	0.0976394
letter	0.0971571
"application form"	0.0964642
video	0.0957943
directory	0.0953667
card	0.0948947
photograph	0.0945651
"business card"	0.0939892
catalogue	0.0933402
transcript	0.0927291
text	0.0926237
"newspaper article"	0.092367
magazine	0.0914377
article	0.0913464
coupon	0.0904643
stationery	0.0889286
"news release"	0.0887844
"yellow pages"	0.0876413
publication	0.0871934
"press release"	0.0870865
page	0.0869017
bulletin	0.0868502
information	0.0868179
packet	0.086562
photo	0.085453
videotape	0.0846005
Circular	0.0837394
envelope	0.0831505
paper	0.0828489
"TV commercial"	0.0827169
listing	0.0824499
cookbook	0.0822728
workbook	0.0821676
Encyclopedia	0.0816944
CD-ROM	0.0812461
billboard	0.08073
kit	0.0802204
essay	0.0796917
"newspaper advertisement"	0.0794607
summary	0.0792339
"newspaper column"	0.0787605
periodical	0.0783539
dictionary	0.0783207
memorandum	0.0775184
manuscript	0.0774588
chart	0.0773317
calendar	0.0771757
solicitation	0.0764987
diary	0.0763072
printout	0.0758997
commercial	0.0752125
menu	0.0749945
yearbook	0.074712
material	0.0747006
"greeting card"	0.0747
sheet	0.074394
CD	0.0742352
"compact disk"	0.0740452
journal	0.0739205
"open letter"	0.0734554
stamp	0.0734366
tape	0.0729037
print	0.0718532
fax	0.0717242
email	0.0715209
itinerary	0.0714739
"newspaper clipping"	0.0712725
certificate	0.0710899
message	0.0710897
obituary	0.0709176
notice	0.0708651
database	0.0704864
"magazine article"	0.0704667
flyer	0.0702262
edition	0.0695752
placard	0.0695119
cassette	0.0693975
Advertising	0.069324
Mail	0.069234
merchandise	0.069109
souvenir	0.0686
mailer	0.0682201
"Christmas card"	0.068015
T-shirt	0.0680053
banner	0.0676879
glossary	0.0676307
Diagram	0.0673995
graphics	0.0672556
affidavit	0.066972
audio	0.0667888
graph	0.0666268
notebook	0.0661327
Bible	0.0657328
poem	0.0656362
biography	0.0656116
ticket	0.0654349
manifesto	0.0653067
"phone book"	0.0652819
"compact disc"	0.0651476
package	0.0649741
tome	0.0648869
recipe	0.0648595
logo	0.0648144
"news story"	0.0648092
"short story"	0.064693
picture	0.064
condom	0.0639094
documentation	0.0637849
letterhead	0.0630939
"white paper"	0.0628926
folder	0.0628028
application	0.0627991
editorial	0.06274
"proxy statement"	0.062682
"telephone number"	0.062505
"written material"	0.0624048
monograph	0.0622904
"TV program"	0.0621874
Atlas	0.06216
instruction	0.0621136
Coin	0.0621047
checklist	0.062019
handout	0.0618846
"comic book"	0.061736
"floor plan"	0.0614094
data	0.0613436
packaging	0.0610901
label	0.0610161
Website	0.0606594
cartoon	0.0604594
"sheet music"	0.0604036
toy	0.0601269
lecture	0.0599094
sketch	0.0598871
"report card"	0.0598271
"reference work"	0.0597282
"progress report"	0.0596474
snapshot	0.0594128
illustration	0.0594093
excerpt	0.0593654
plaque	0.0589474
invoice	0.0589418
VCDs	0.0587979
box	0.0587338
scrapbook	0.0587265
item	0.0587106
"news article"	0.0584978
drawing	0.0584677
disk	0.0584558
newspaper	0.0583682
"reference book"	0.0583266
paperback	0.0582877
paperwork	0.0582304
slogan	0.0580779
exhibit	0.0580283
statistic	0.0577809
invitation	0.0577628
statement	0.0577169
correspondence	0.0575942
syllabus	0.0575141
update	0.0574951
script	0.0574325
"bulletin board"	0.0571567
"official document"	0.056866
software	0.056803
speech	0.0566275
appendix	0.0565314
advice	0.0562682
artwork	0.0561387
paragraph	0.0559666
"cassette tape"	0.0558713
petition	0.0558333
"phone number"	0.0557712
))
(Brock (desc 5388.65) (sims
Berenson	0.108998
Finkel	0.102169
Hanna	0.102141
Nickerson	0.0969349
Giacchetto	0.0924929
Hersh	0.0916899
Vogel	0.0916176
Copeland	0.090072
Hickman	0.0891025
Krugman	0.0886381
Meissner	0.0883656
Garza	0.0882606
Prewitt	0.0877636
Goldstein	0.0875789
Mikhailov	0.0868452
Bakaly	0.0862208
Fagan	0.0857409
Abernathy	0.0854154
"William Jefferson Clinton"	0.0850935
Goldberg	0.0849638
Sheppard	0.0846548
Kurth	0.0844906
Donohue	0.0834676
Feldman	0.0834343
Osborne	0.0831132
Keenan	0.0830928
Duffy	0.0828094
Druckenmiller	0.082598
Quinn	0.0824018
Solis	0.0819996
Kagalovsky	0.0818287
Steele	0.0813686
Hanley	0.0812135
Lacresha	0.0811147
Dowd	0.0810517
Davidson	0.0807078
Thayer	0.0803594
Gillespie	0.0802675
Nouri	0.0801893
Nikitin	0.0799911
Schmitz	0.0795341
Bowers	0.079141
Flores	0.0791178
Mullen	0.079098
DeFrantz	0.0790674
Rosenberg	0.078922
Bowen	0.0788086
Moran	0.0787907
Henley	0.0787737
Hartman	0.0785782
Levine	0.0785529
Olson	0.078412
Farley	0.0782765
Stayner	0.0782747
Ackerman	0.0782143
Rubenstein	0.0782126
"Russell Peeler"	0.0778138
Maurice	0.0777503
Manuel	0.077709
Erving	0.0776738
Casey	0.0775234
hale	0.0771821
McDermott	0.0770381
Eappens	0.0770263
Fassett	0.0765472
Kurtz	0.0764534
Nasrin	0.0763407
Lowry	0.0762206
Shayler	0.0762013
Rivlin	0.076124
Chung	0.0760526
Schwarz	0.075995
Arnold	0.0759915
Callaghan	0.0758722
Kodikian	0.0758572
Blackthorne	0.0757172
Mandelson	0.0755552
Woodard	0.0755515
Hagen	0.0755427
Rogan	0.0754943
Valenzuela	0.0753771
Lipstadt	0.0752319
Elliott	0.0751803
matt	0.0751208
Mohajerani	0.0750502
Dion	0.0749406
McDaniel	0.0746731
Alarcon	0.0746076
Parker	0.0745829
Cubas	0.0742356
Hartley	0.0741989
Moreno	0.0741021
Kessler	0.0740912
Poole	0.0740671
Sheehan	0.0740238
Sorensen	0.073927
Ahmed	0.0737299
Garrett	0.0737174
Dixon	0.0736123
Bronfman	0.0734244
Kaye	0.0734081
Capano	0.0733335
Mahoney	0.073184
Shawn	0.0731682
Kenny	0.0730462
Johnston	0.0730294
Jenoff	0.0730277
Mcbride	0.0730123
Blake	0.0729571
Brody	0.0723422
Weil	0.0723256
Joshua	0.0723042
Larson	0.0721633
Healy	0.072128
Rosen	0.0720287
Joklik	0.0719168
Burke	0.0719055
Anthony	0.0718839
Shapiro	0.071803
Vasquez	0.0716879
Rashid	0.0716576
Cole	0.0715868
Ritter	0.0715768
Hybl	0.0715468
Farber	0.0715202
Rosenthal	0.0715165
Erickson	0.0712364
Quackenbush	0.0711777
Bergeron	0.0711388
Pfeiffer	0.0711146
Knapp	0.071059
Brennan	0.0710372
Grossman	0.0709405
Ainge	0.0708715
Joel	0.0708538
Carroll	0.070678
Silverstein	0.0705893
Cusack	0.0705735
Carr	0.0705703
Schwartz	0.0704962
Dodik	0.0704023
Raymond	0.0703718
Paxon	0.0703665
Omar	0.0703647
Bartlett	0.07024
Patterson	0.0702195
Powers	0.0701948
Ibrahim	0.0701784
Haynes	0.0701535
Neulander	0.0700848
Nicholson	0.0699187
Selig	0.0698945
Summitt	0.069835
McKinney	0.069709
Daniels	0.0696789
Jamie	0.0696295
Bisek	0.0696138
Trevi	0.0696025
Holmes	0.0695641
pressman	0.0695388
Blum	0.0695118
Kanell	0.0694354
Patten	0.0694261
Levin	0.0694106
Baum	0.0693425
Waxman	0.069318
LeFave	0.069273
Wasserstein	0.0692286
Goldin	0.0692272
Harris-Lewis	0.0691846
Katz	0.0691657
Castillo	0.0691346
Brian	0.0691209
Nichols	0.069099
Kelleher	0.0690864
douglas	0.0690835
Wan	0.069037
Hart	0.0690075
Murray	0.0689641
Pirro	0.0689471
Slatkin	0.0688718
Justin	0.0688221
Maradona	0.06863
Ricci	0.0685554
Zimmerman	0.0685383
Hardy	0.0685305
Boehner	0.0684978
Cunningham	0.0684852
Verniero	0.0684819
Rowe	0.0683558
Choate	0.0682882
Flanagan	0.0682782
Soliah	0.0682774
Barrett	0.0682711
Fay	0.068251
Welch	0.0682388
Kirkpatrick	0.0682313
Berman	0.0681593
Jovanovic	0.0681186
Tim	0.0681082
))
("Brock Huard" (desc 1927.82) (sims
"Daunte Culpepper"	0.262314
"Akili Smith"	0.230076
"Donovan McNabb"	0.224871
"Drew Bennett"	0.170356
"JOHN FRIESZ"	0.166501
"Michael Bishop"	0.159033
"Tee Martin"	0.15637
"Cade McNown"	0.152873
"Tim Couch"	0.150525
"Charlie Batch"	0.148088
"Todd Husak"	0.145405
"Jarious Jackson"	0.143584
"Danny Wuerffel"	0.135898
"Brian Griese"	0.135771
"Gus Frerotte"	0.133839
"Eric Zeier"	0.13266
"Tony Graziani"	0.132301
"Peyton Manning"	0.130236
"Jim Druckenmiller"	0.127442
"Erik Kramer"	0.127071
"Doug Pederson"	0.1268
"Chad Pennington"	0.126778
"Shaun King"	0.126194
"Bobby Newcombe"	0.125859
"Mike Van Raaphorst"	0.123241
"Elvis Grbac"	0.120354
"Joe Hamilton"	0.119171
"Jeff Garcia"	0.1188
"Trent Green"	0.117391
"Chris Weinke"	0.117181
"Doug Johnson"	0.116739
"Dave Brown"	0.115847
"Quincy Carter"	0.11579
"Tom Brady"	0.114005
"Jeff George"	0.113663
"Ryan Kealy"	0.111943
"Ryan Leaf"	0.111794
"Paul Justin"	0.109778
"Damon Huard"	0.10879
"Ricky Williams"	0.107296
Culpepper	0.107262
"Ty Detmer"	0.106926
"Glenn Foley"	0.105906
"Brad Johnson"	0.105002
"Rob Johnson"	0.104738
"Drew Brees"	0.102603
"Chris Simms"	0.100529
"Rodney Peete"	0.099396
"Major Applewhite"	0.0972394
"Marcus Outzen"	0.0957942
"Kent Graham"	0.0949006
"Jeff Blake"	0.0947925
"John Avery"	0.0938067
"Steve Beuerlein"	0.0927871
"Ryan McCann"	0.0922773
"Flozell Adams"	0.0912799
"Bubby Brister"	0.0880903
McNown	0.0877987
"Steve McNair"	0.0864644
"Keith Brooking"	0.0858278
"Ortege Jenkins"	0.085128
"Champ Bailey"	0.085005
"Jake Plummer"	0.0845519
"Kerry Collins"	0.0833977
"Jason Garrett"	0.0826673
"Ray Lucas"	0.0821728
"Jon Kitna"	0.0818526
"Rich Gannon"	0.0816656
"Scott Zolak"	0.0802257
"Jim Harbaugh"	0.0798249
"Danny Kanell"	0.079743
"Mark Brunell"	0.0793061
"Tony George"	0.0789464
McNabb	0.0788994
"Kordell Stewart"	0.0785283
"Warren Moon"	0.078422
"Chris Chandler"	0.0779836
"Tony Banks"	0.0778662
"John Fox"	0.0778008
"Kris Farris"	0.0775554
"Jake Voskuhl"	0.0772758
"Leon Johnson"	0.0769849
Favre	0.0764551
"Steve DeBerg"	0.0764201
QB	0.0758144
"Keith Smith"	0.0748995
"Fred Taylor"	0.0748332
"Shaun Alexander"	0.0747919
Applewhite	0.0737691
"Charlie Ward"	0.0735768
"Michael Vick"	0.0732559
"Jamal Lewis"	0.0729092
"Cory Paus"	0.0728182
"Bobby Hoying"	0.0726666
"Byron Hanspard"	0.0717281
"Carson Palmer"	0.0717097
Dilfer	0.0711908
"Larry Atkins"	0.0709649
"Scot Pollard"	0.070805
"Neil O'Donnell"	0.0704052
"Manny Fernandez"	0.070086
"Phil Simms"	0.0694905
"Michael Booker"	0.0691325
"Chamique Holdsclaw"	0.0685851
Griese	0.0678359
"Henri Crockett"	0.0672864
McNair	0.0670816
"Tony Hutson"	0.0665424
"Drew Henson"	0.0662591
"Tyronn Lue"	0.0661663
"Andy Katzenmoyer"	0.0660384
"Brandon Mitchell"	0.0659532
"Lou Merloni"	0.0656892
"Rashard Lewis"	0.0656341
Manning	0.065208
"Einar Diaz"	0.0650529
"Bonzi Wells"	0.0647504
"Vinny Testaverde"	0.0645646
"Mike Bibby"	0.0644475
"Wilton Veras"	0.0640884
"Ron Dayne"	0.0639898
"Damien Woody"	0.0637192
"Pat Garrity"	0.0636917
"Skip Hicks"	0.063363
"Ephraim Salaam"	0.0629179
"Courtney Brown"	0.062653
"Tony Simmons"	0.0626018
Dawkins	0.0621834
QBs	0.0620059
"Trent Dilfer"	0.0619633
"Dan Marino"	0.0619591
"Hu Weidong"	0.0614067
"Greg Ellis"	0.0612596
"Rick Mirer"	0.0604447
"Kevin Johnson"	0.0601155
"Chris Crawford"	0.0600138
"Doug Flutie"	0.0595942
"Scott Mitchell"	0.0595237
"Troy Aikman"	0.0594859
Plummer	0.059483
"Steve Young"	0.0591716
"Norm Maracle"	0.0591553
"Tom Tupa"	0.0591001
"Joe McEwing"	0.0589776
"Sebastian Janikowski"	0.058774
"Steve Park"	0.0587475
"Ricky Moore"	0.0587225
Atkins	0.058714
"Jeff Ogden"	0.0586667
"Peter Warrick"	0.0583921
"Kevin Freeman"	0.0583248
Weinke	0.0581394
"Michael Myers"	0.0581069
"Baron Davis"	0.0580177
"Olaf Kolzig"	0.0580048
"Tim Dwight"	0.057679
"Michael Olowokandi"	0.0574906
"Paul LoDuca"	0.0574026
"Jarvis Turner"	0.0568722
Huard	0.0567655
"Dan Cloutier"	0.0564481
"Randall Cunningham"	0.0563644
"Paul Konerko"	0.0562218
"Sedrick Shaw"	0.0561697
"Mike Caruso"	0.0560823
Tuiasosopo	0.0560564
"Robert Edwards"	0.055995
Brunell	0.0558787
"Andre Miller"	0.0558315
"Boomer Esiason"	0.055418
"Jason Fabini"	0.0550802
"J.D Drew"	0.0549931
"Geoff Jenkins"	0.0547464
"Joe Montana"	0.0546751
"Tyrone Nesby"	0.0545419
Grbac	0.0544173
"Jermaine Lewis"	0.0540604
"John Elway"	0.0538823
Szczerbiak	0.0537179
"Kevin Faulk"	0.0536726
"Richard Hamilton"	0.0531268
"Jelani McCoy"	0.0530795
"Juwan Howard"	0.052972
Rivlin	0.0529437
"Chris Porter"	0.0528589
punting	0.0523558
"Steve Shields"	0.052272
Nevin	0.0520965
"Mitch Meluskey"	0.0520496
"Michael Wiley"	0.0519083
"Van Raaphorst"	0.0516518
Kanell	0.0516063
"Dirk Nowitzki"	0.0515985
"Zydrunas Ilgauskas"	0.0515649
"R. Jay Soward"	0.0515091
"Ed Yarnall"	0.0514352
"Brett Favre"	0.0513762
halfback	0.0513486
"Dwayne Goodrich"	0.051272
linemen	0.050958
))
(Brockovich (desc 1638.82) (sims
Bellush	0.101759
"Mary Jo White"	0.0948303
McMellon	0.0859264
McWilliams	0.0828245
Szabo	0.0781071
Harris-Lewis	0.0772509
"Marianne Gingrich"	0.0745752
"Eric Holder"	0.070585
Hazelwood	0.0683985
Valenzuela	0.068276
Faulder	0.0658367
Schlichtmann	0.0641825
Slaney	0.0636965
Kodikian	0.0634465
Berenson	0.061935
Arbour	0.0617668
Jeffers	0.0612324
Maharaj	0.0601379
Billick	0.0600214
Seizinger	0.0597834
Hagen	0.0589818
"David Schippers"	0.0586189
Caddell	0.0578484
"Truth Commission"	0.0572208
Carlson	0.0571907
"Jim Thomas"	0.0568244
Schaffer	0.0568113
Canty	0.0567294
Nateq-Nouri	0.0567091
"Gregory Craig"	0.0566269
Sarandon	0.0565488
Moscoso	0.0564572
Bisek	0.0562344
Karpov	0.0560983
Solzhenitsyn	0.0559312
Kohn	0.0552593
Garza	0.054698
Charest	0.0545382
Harrick	0.0545068
Ono	0.0544438
Berle	0.0538426
Mehmet	0.0533918
NAU	0.0530121
Ceballos	0.0528482
Capano	0.0527638
Montalvo	0.052594
Pippig	0.0523248
"DOUG JONES"	0.0522874
"Erin Brockovich"	0.0522804
Sethe	0.0521705
Skiles	0.0521502
Banzer	0.0520846
Limon	0.0520318
Jayasinghe	0.0517834
Kurth	0.0516222
Scruggs	0.0513865
Berlusconi	0.0512194
Koch-Weser	0.0508876
"John Gotti"	0.0507758
Sahadi	0.0507428
"Charles LaBella"	0.0505773
"Steve Thomas"	0.0503129
"Elyakim Rubinstein"	0.0501639
Modell	0.0501254
"Charles Ruff"	0.0499311
Ballard	0.0497351
Garzon	0.0495556
"David Kendall"	0.049455
Anand	0.0494271
Guidry	0.0492994
Meissnitzer	0.0489411
Badillo	0.0489066
Diouf	0.0488287
Hiett	0.0488059
Schaeuble	0.048604
Balaguer	0.0485717
Gadhafi	0.0485246
Hawn	0.0478481
Appleby	0.0478279
"Donna Shalala"	0.0476186
Papon	0.0473533
Eappens	0.0473513
McLaughlin	0.0471673
Yandarbiyev	0.0471219
Abel	0.0471092
Liberman	0.0470288
Jewell	0.0468148
Fassett	0.0466695
Harr	0.0466378
Layden	0.0465521
Aliev	0.0465005
Sensenbrenner	0.0464163
Marquez	0.0461933
Paez	0.0460879
Gauthe	0.0458995
Hamlin	0.045695
Dandridge	0.0456375
Cepeda	0.0451879
Faget	0.0451689
Loewen	0.0451267
Caldera	0.0451187
"Cendant Corp."	0.0450649
Summitt	0.0450396
Kerik	0.0450362
Zack	0.0448556
"Scotty Bowman"	0.0448349
Neff	0.0448113
Rau	0.0447568
Chmura	0.0446675
Kazan	0.0445126
Koehler	0.0445114
Jenoff	0.0444298
Gosper	0.0443508
"Yitzhak Molcho"	0.0443311
Roseanne	0.0442865
Symington	0.0442748
Chenoweth	0.0442479
"waiting game"	0.0441218
Kusama	0.044121
Lautenberg	0.0440731
Murr	0.0440627
Brazill	0.04404
Dragila	0.0439911
Naipaul	0.0439351
Ramseys	0.0439277
Samuelson	0.043907
Levesque	0.0439069
Fagan	0.0438209
"John Cornyn"	0.0437828
"Thurgood Marshall"	0.0436528
Yosef	0.0436334
"John Danforth"	0.0435982
Jayhawks	0.043575
Kealy	0.0432652
Smaltz	0.0430558
Yoo	0.0428826
Matasareanu	0.0427601
McCray	0.0427444
Yoon	0.0426475
Ballmer	0.042613
"Pope John Paul"	0.0425671
Nikitin	0.0425468
"Patsy Ramsey"	0.0425237
Petkovsek	0.0424888
Voinovich	0.042485
Kostunica	0.0423836
Barton	0.0423542
Kagalovsky	0.0423008
Gump	0.042297
Ankiel	0.0422842
Lacroix	0.0422484
"Tom Johnson"	0.0422471
Schweitzer	0.04215
Heaney	0.0421161
Tua	0.0421153
Hendrickson	0.0421122
brinksmanship	0.0420786
Downey	0.0420761
Ingram	0.0420506
"Rudolph Giuliani"	0.0420453
FAIRCLOTH	0.0417636
Theodore	0.0417281
Postel	0.0417081
AEK	0.0417009
"grim reaper"	0.0416803
Carmichael	0.0414628
"Lewis Carroll"	0.0414163
Norstrom	0.0414006
Moceanu	0.0413519
"U.S. Labor Department"	0.0412857
Skakel	0.0412349
Epps	0.0412187
"Juan Miguel"	0.0411955
Weil	0.0411134
Deutch	0.0410681
Gangelhoff	0.04101
McGowan	0.0409881
McEwan	0.0409568
Carollo	0.0409166
Cleary	0.0409024
Taubman	0.0408189
Feinstein	0.0407652
Drugstore.com	0.0407452
Salazar	0.0406759
Ulrich	0.0406702
Liggett	0.0406307
Montiel	0.0406206
Sotomayor	0.040579
"Bill Lann Lee"	0.040526
Mandelson	0.0405127
"Sherlock Holmes"	0.0405104
Bruijn	0.0404567
Sezer	0.0403921
"guessing game"	0.0403531
Magaziner	0.0403327
Hofer	0.0402429
Fortier	0.0402345
Flynn	0.0402246
fieldwork	0.0401685
Cavanaugh	0.0401459
))
(Brockton (desc 1178.79) (sims
Braintree	0.208064
Needham	0.176147
Woburn	0.174073
"New Bedford"	0.168607
"Fall River"	0.166467
Marlborough	0.15855
Westfield	0.15574
Holyoke	0.152952
Somerville	0.148244
Medford	0.145109
Chatham	0.144337
Falmouth	0.14349
Morristown	0.137763
Wellesley	0.13603
ATTLEBORO	0.132031
Brookline	0.131483
Lenox	0.127752
"Newport Beach"	0.126757
Acton	0.125381
Stockbridge	0.125269
Northampton	0.122749
Walpole	0.121897
Mbarara	0.12153
Worcester	0.121413
Pittsfield	0.118661
Gloucester	0.11752
Norwood	0.114826
"San Rafael"	0.113432
Hyannis	0.113051
Easton	0.112839
Peabody	0.111662
Waltham	0.109736
Provincetown	0.109229
Charlestown	0.108181
Groton	0.107837
Framingham	0.106767
Englewood	0.103509
Bridgewater	0.103108
Decani	0.10283
Amherst	0.101897
Winchester	0.101479
Hopkinton	0.100685
"East Orange"	0.100369
Springfield	0.100209
Foxboro	0.0999715
Andover	0.099221
"East Los Angeles"	0.0990992
Bensonhurst	0.0983173
Williamstown	0.0981233
Watertown	0.0979378
BRIGHTON	0.0979032
Salem	0.0973987
Plymouth	0.0972249
Rockport	0.0969487
Middleton	0.096898
Malden	0.0960573
Beverly	0.0948474
Dorchester	0.0941173
Mansfield	0.0939969
Chappaqua	0.0924181
"Crystal City"	0.0923501
Winthrop	0.092114
Dunwoody	0.0912956
Elmira	0.091082
Newton	0.0902017
Burlington	0.0891537
Lexington	0.0886887
"Jefferson City"	0.0886046
Carthage	0.0873903
Haifa	0.0869444
Randolph	0.086555
Redding	0.0862585
Pailin	0.086257
Hialeah	0.0861245
Hillsboro	0.0859249
"Boynton Beach"	0.0856174
Salisbury	0.0855096
Westport	0.0854332
Americus	0.0846476
"Palm Beach Gardens"	0.0830119
Carlisle	0.082881
Ashland	0.0827361
Maynard	0.0821735
"Grand Junction"	0.0813229
Nantucket	0.0808229
Lynn	0.0808098
Lowell	0.0807178
Milton	0.0804189
Spokane	0.0797272
"Delray Beach"	0.0794848
Schenectady	0.0794304
Krakow	0.0794236
Lakeland	0.0793799
"Highland Park"	0.0791995
"Thousand Oaks"	0.0788207
"Pacific Palisades"	0.078622
Dundalk	0.0784755
Brentwood	0.0784248
"Hyannis Port"	0.0781448
Fredericksburg	0.0780264
Naperville	0.0779627
Quincy	0.0779416
Wilmington	0.0777814
Weston	0.0775752
Danville	0.0773366
"Paradise Valley"	0.0773319
"Mill Valley"	0.0772624
ASHEVILLE	0.0770355
Monterrey	0.0769381
"Woods Hole"	0.0768827
Arlington	0.0768396
Covington	0.0766569
"Fort Collins"	0.0762108
bethel	0.0761631
"Boca Raton"	0.0760916
Weimar	0.0760207
"Westlake Village"	0.0757052
Montclair	0.0753269
Macon	0.0749388
"East St. Louis"	0.0747735
Missoula	0.0743817
"Saratoga Springs"	0.0742247
Matamoros	0.0741202
Milford	0.0741036
Ipswich	0.0737989
Knoxville	0.0733424
Shreveport	0.0732245
Encino	0.0730543
Brcko	0.0724799
Foxborough	0.0717217
Prijedor	0.0717146
Greenwich	0.0716776
Lubbock	0.0714668
"Port St. Lucie"	0.0712414
Raleigh	0.0711687
Trieste	0.0707864
"Union City"	0.0706598
"Baton Rouge"	0.0706454
"Virginia Beach"	0.0706171
Norwich	0.0703914
Stamford	0.0700076
Odessa	0.0699067
"Walnut Creek"	0.0697635
"San Fernando"	0.0697551
Youngstown	0.0697141
Waterbury	0.0694649
Roxbury	0.0690378
Galveston	0.0685669
Riverdale	0.0685234
"Hollywood Hills"	0.0681761
"Santa Clarita"	0.0679264
Malaga	0.0677419
"Van Nuys"	0.0676841
Nacogdoches	0.0676563
LAKEWOOD	0.0670621
Deerfield	0.06673
Lenexa	0.0667226
Clifton	0.0666246
Honolulu	0.0666007
Duluth	0.0664123
Jamestown	0.0662978
"Huntington Beach"	0.0661281
Aberdeen	0.0660775
canton	0.066053
"New Canaan"	0.0659441
Gainesville	0.0657047
"La Jolla"	0.0655803
"Rocky Mount"	0.0653395
"San Pedro Sula"	0.0653359
Lafayette	0.0651917
Anshan	0.06507
"New Rochelle"	0.0648872
Marlboro	0.0648715
Monticello	0.0648631
"North Hollywood"	0.0646244
Valparaiso	0.0646124
"Garden City"	0.0644668
Jinja	0.0642356
Melrose	0.0639907
Nazareth	0.0639621
Macoris	0.0639103
Tarzana	0.0638993
Greenville	0.0638373
Plano	0.0636373
"San Angelo"	0.0636144
"Cedar Rapids"	0.0635959
"Great Neck"	0.0633751
Alpharetta	0.0633714
Tucson	0.0633195
Decatur	0.0631888
Middletown	0.0630134
"dress uniform"	0.0629917
Wichita	0.0629404
Thomasville	0.0628535
"West Palm Beach"	0.0628107
"Fort Wayne"	0.0628019
Bangor	0.0627561
Poughkeepsie	0.0625651
"White Plains"	0.0625212
Nogales	0.0624653
))
(Broderbund (desc 2617.41) (sims
ALZA	0.223114
"Learning Co."	0.176644
Petrofina	0.171748
"U.S. Trust"	0.16648
ascend	0.16126
Nabisco	0.15463
Bestfoods	0.153073
Cadbury	0.151732
Novell	0.149271
"Thermo Electron"	0.148781
COLTEC	0.148446
Pairgain	0.14651
"Fred Meyer"	0.146082
Stratus	0.144166
RealNetworks	0.142724
Ciena	0.140835
XYLAN	0.139195
"P&AMP;G"	0.138246
RJR	0.136818
"Computer Associates"	0.135813
PEOPLESOFT	0.133941
Warner-Lambert	0.131055
TYCO	0.13005
Broadcast.com	0.129789
Seagram	0.129475
Intuit	0.12919
"Cadbury Schweppes"	0.128965
Iomega	0.128232
Scientific-Atlanta	0.127001
MiniMed	0.126724
ExciteAtHome	0.125965
NCR	0.125627
"J&AMP;J"	0.124623
Autodesk	0.124354
"Sara Lee"	0.122346
SmithKline	0.122299
Honeywell	0.122114
McKesson	0.12088
Starwood	0.120764
"Pacific Century"	0.120659
Cabletron	0.120391
"Bay Networks"	0.12032
Mattel	0.120319
SGI	0.120171
HBOC	0.119934
Healtheon	0.119623
SDL	0.119313
Gilead	0.11916
VENATOR	0.11903
Penney	0.118833
"Times Mirror"	0.118445
Agilent	0.118226
"Waste Management"	0.117363
Fingerhut	0.116857
NORTHROP	0.116006
Seagate	0.115092
Gillette	0.115069
EMC	0.115061
"Atlantic Richfield"	0.114907
Nortel	0.114273
Asda	0.114011
GANNETT	0.113096
Orangina	0.112786
Geron	0.112751
Broadcom	0.112727
EarthLink	0.112585
"Stride Rite"	0.112038
Saks	0.111082
VoiceStream	0.111006
Netcom	0.110906
ARCO	0.11075
Daimler	0.110575
RAMBUS	0.110502
ITT	0.110148
Biogen	0.109934
Transamerica	0.109916
"HBO &AMP; Co."	0.109797
Medtronic	0.109337
Cisco	0.108646
"Union Carbide"	0.108399
BankBoston	0.10814
Cendant	0.107243
Emulex	0.107105
ADM	0.106628
Symantec	0.106307
Incyte	0.105965
Weyerhaeuser	0.105836
Cerent	0.105438
"Learning Company"	0.105077
"Atlantic Richfield Co."	0.105036
Airtouch	0.105011
TCI	0.104427
"Con Ed"	0.104126
AIG	0.103952
oracle	0.10364
Sunbeam	0.103611
WebMD	0.103196
Mediaone	0.103146
NiSource	0.102596
BankAmerica	0.10241
Stroh	0.102033
Avondale	0.101666
"U S West"	0.101549
Infoseek	0.101215
GTE	0.100912
Kodak	0.100796
TELLABS	0.0997534
Tropicana	0.0996755
NatWest	0.0996536
Ameritech	0.099592
Maytag	0.0992946
CMGI	0.0986963
Aetna	0.09853
Netscape	0.0982243
Amoco	0.0977947
MACROMEDIA	0.0976835
Gymboree	0.0973541
MindSpring	0.0973425
REVLON	0.0973371
CNET	0.0972417
Mannesmann	0.0965298
Comsat	0.0960567
Corel	0.0960008
Motorola	0.0956282
Webvan	0.0955125
"American Home"	0.0955089
Viacom	0.0952574
adobe	0.0951518
Hewlett	0.0950257
GeoCities	0.0947274
Chrysler	0.0946557
E-LOAN	0.0945617
"Times Co."	0.0943649
Equifax	0.0942701
USEC	0.0942679
"RJR Nabisco"	0.0940261
Soma	0.0938515
SkyTel	0.093774
Glaxo	0.0934696
"Advanced Micro"	0.09337
Lycos	0.0932848
Livent	0.0931269
Humana	0.0931093
"US Airways"	0.0931059
Conseco	0.0929858
Clorox	0.0928924
Lotus	0.0922291
HP	0.0921802
NetZero	0.091966
Compaq	0.0917744
"Network Associates"	0.0916764
CCA	0.0916528
Qwest	0.0915521
Terra	0.0914093
GPU	0.091409
Genzyme	0.0913026
AHP	0.0911506
ENTREMED	0.0911412
Genentech	0.0910427
"Boston Scientific"	0.0908854
McGraw-Hill	0.0907261
CDnow	0.0904327
CCE	0.0900879
ENTERGY	0.0899605
Sycamore	0.0899119
Monsanto	0.0898812
"KCP&AMP;L"	0.0898229
Dresdner	0.0897353
Pitney	0.0896826
Warnaco	0.0895383
Unilever	0.0894995
Chiron	0.0894471
Raytheon	0.0893435
Norwest	0.0892157
Northpoint	0.0891873
Hasbro	0.0891
WELLPOINT	0.0888418
Sepracor	0.0887421
Georgia-Pacific	0.0885189
sandpiper	0.088469
Williams-Sonoma	0.0880237
Amgen	0.0876985
Akamai	0.0873874
"Chrysler Corp."	0.0872736
Informix	0.0872165
PolyGram	0.0869314
"Digital Equipment"	0.0867073
"Oracle Corp."	0.0867056
"Phelps Dodge"	0.0866953
Litton	0.0866603
Inktomi	0.0861027
"Gap Inc."	0.085912
"Dayton Hudson"	0.0858447
Delphi	0.0856649
Hewlett-Packard	0.0856407
"Mobil Corp."	0.0856101
"Ocean Spray"	0.0853656
"Gillette Co."	0.0853513
Pfizer	0.0853135
Bristol-Myers	0.0852308
))
(Broderick (desc 1855.64) (sims
"Matthew Broderick"	0.154974
"Joan Allen"	0.133037
Storin	0.111903
Wald	0.0988036
Gooding	0.0975863
Cleese	0.0965174
Donnelly	0.0961031
Schroder	0.0936471
Costner	0.0920051
Braugher	0.0908136
"Christian Bale"	0.0864729
Vogel	0.0859921
Stillman	0.085284
"Wesley Snipes"	0.0808963
Grammer	0.0792815
Brosnan	0.0765104
Duchovny	0.0753981
Stiller	0.0745539
Hamlin	0.0744751
"Winona Ryder"	0.0743049
"Kevin Kline"	0.0739949
"Ian Holm"	0.073988
"Ethan Hawke"	0.0737154
Whitacre	0.0728199
Henley	0.0715704
Maguire	0.0711519
Sarandon	0.0694979
Rideau	0.06947
Winkler	0.0693347
"Keanu Reeves"	0.0692359
Downey	0.0678851
"Tobey Maguire"	0.0678693
Travolta	0.0677774
Mohr	0.0674272
"James Van Der Beek"	0.0672893
"Richard Dreyfuss"	0.0670588
Baugh	0.0664598
"Sally Field"	0.0661482
Cusack	0.0658572
"John Cusack"	0.065659
Deneuve	0.0653196
"Michelle Pfeiffer"	0.0651708
"Chris Klein"	0.0650872
"Chow Yun-Fat"	0.0647381
"Sigourney Weaver"	0.0646188
swank	0.0644056
"Jennifer Love Hewitt"	0.0642738
Tucci	0.0638742
Flockhart	0.0637348
Felton	0.063439
Chappell	0.0634146
REEVE	0.0629875
"Val Kilmer"	0.0629194
"Nigel Hawthorne"	0.0629162
"AL PACINO"	0.062772
"Michael J. Fox"	0.0626397
"Chevy Chase"	0.062412
"Ryan Phillippe"	0.0623388
Paltrow	0.0621375
"Richard Gere"	0.061875
Clooney	0.0615885
"Marianne Gingrich"	0.0613296
"Martin Lawrence"	0.0613037
"Jeremy Irons"	0.061
"Jeff Bridges"	0.0609888
"Juliette Lewis"	0.0609009
Crocker	0.0608069
Jorgensen	0.0604755
Crichton	0.0604438
"Julianne Moore"	0.0604355
"Jimmy Smits"	0.0602335
Turturro	0.0597013
"Jamie Foxx"	0.0594537
Midler	0.0592646
"Gabriel Byrne"	0.0592106
Maharaj	0.0589998
Carrey	0.0588892
Kurth	0.0586992
"Mark Wahlberg"	0.0586643
"Sean Penn"	0.0586123
"Spencer Tracy"	0.0585877
"Minnie Driver"	0.0585125
Beckwith	0.0584085
Streep	0.0580348
Harris-Lewis	0.0578439
"Robert DeNiro"	0.0577705
McCombs	0.0577499
Heche	0.0577496
"Stephen Rea"	0.0574224
"Sarah Michelle Gellar"	0.0573998
Harrelson	0.0573699
Hiett	0.0573373
Benigni	0.0572717
"JOHN TURTURRO"	0.0571547
Marty	0.0570828
Hirsch	0.0570762
"Kevin Bacon"	0.0567326
Kagalovsky	0.0566373
Falco	0.0566097
"Heather Graham"	0.0565925
"James Earl Jones"	0.056563
"Henry Fonda"	0.0564406
"Burt Lancaster"	0.0561445
"Edward Furlong"	0.0560259
McWilliams	0.0559874
GERE	0.0559442
Pfeiffer	0.0558492
Sandler	0.0554988
Sobel	0.0554417
"Kathleen Turner"	0.0554204
"Gene Kelly"	0.0551973
"Calista Flockhart"	0.0551191
Rudenstine	0.0547449
"Burt Reynolds"	0.0545651
Kidman	0.0543866
Orr	0.0541686
"Emily Watson"	0.0540452
"Nick Nolte"	0.0540417
Keaton	0.0540141
"Dan Hedaya"	0.0538626
"Matthew Perry"	0.0536574
"John Leguizamo"	0.0536272
Carlson	0.0536057
"Jimmy Stewart"	0.053508
"Glenn Close"	0.0534689
"Kirk Douglas"	0.0534018
"Albert Brooks"	0.0533181
"Vanessa Redgrave"	0.0533063
"Tom Selleck"	0.0532105
McGregor	0.0531065
"Catherine Deneuve"	0.0530559
Blackthorne	0.0530211
"Stanley Tucci"	0.0529834
Pollack	0.0529269
"Natasha Richardson"	0.052888
"Kate Winslet"	0.0527373
Bjork	0.0526514
"Rupert Everett"	0.052641
Eappens	0.0525862
Boller	0.0525265
"William Hurt"	0.0524361
Hank	0.0523738
Caray	0.0523155
Dennehy	0.0522393
Shandling	0.0521725
"Sidney Poitier"	0.0520722
Edelstein	0.0520617
Eastwood	0.0520453
Leland	0.0520339
"Woody Harrelson"	0.0520085
"Alicia Silverstone"	0.0519841
Sheedy	0.0519629
Kingsley	0.0518307
"Geena Davis"	0.0518003
Spacey	0.0516079
"Bill Murray"	0.0514795
"Steve McQueen"	0.0514664
JAKES	0.0514518
Pirro	0.051329
Affleck	0.051272
Gosper	0.0511886
"Christopher Reeve"	0.0510622
Epps	0.0508354
"Kevin Costner"	0.0508297
Yoakam	0.0508087
"Cate Blanchett"	0.0507579
"Sela Ward"	0.0507527
"James Woods"	0.0504391
Goldsmith	0.0503914
"Jeff Daniels"	0.0503082
Hartley	0.0502376
Andrews	0.0501877
"Richard Burton"	0.0500542
"Jessica Lange"	0.0498681
Halberstam	0.0498472
Wildhorn	0.0498415
Heyward	0.0497435
"Kirsten Dunst"	0.0496653
"Ewan McGregor"	0.0496538
"Jodie Foster"	0.0496082
"Patsy Ramsey"	0.0494724
"Alfre Woodard"	0.0492195
"Famke Janssen"	0.0491855
"Ally Sheedy"	0.0490668
"Helen Mirren"	0.0487436
Bustamante	0.0487155
"Demi Moore"	0.0486995
"John Travolta"	0.0486318
"Denis Leary"	0.0486151
Gauthe	0.0485756
"Rob Lowe"	0.0483769
"Matthew McConaughey"	0.0483731
"Dustin Hoffman"	0.0483349
Otis	0.0482525
"Melanie Griffith"	0.0481527
Deane	0.0481473
Mellencamp	0.0480734
Ricci	0.0480707
"Ed Harris"	0.0480562
Behr	0.0480215
))
(Brodeur (desc 7751.48) (sims
Fiset	0.221649
Kolzig	0.217137
Belfour	0.210168
Hebert	0.207945
"Martin Brodeur"	0.203726
Hasek	0.199953
Salo	0.190157
Barrasso	0.189837
Khabibulin	0.186516
Thibault	0.1846
Richter	0.182199
Dafoe	0.1801
Vanbiesbrouck	0.174467
Storr	0.162302
"Guy Hebert"	0.155648
backhander	0.142802
Osgood	0.141487
Dunham	0.139374
Tallas	0.135983
Legace	0.13438
Turek	0.133522
"Dominik Hasek"	0.127183
"Tommy Salo"	0.12657
"Ed Belfour"	0.126237
one-timer	0.12622
Roy	0.124453
Grahame	0.123927
"Byron Dafoe"	0.110571
Potvin	0.109718
Fuhr	0.100954
Shields	0.100244
"Jocelyn Thibault"	0.0969154
"Patrick Roy"	0.0958688
"Mike Richter"	0.0955834
Joseph	0.0938536
"Curtis Joseph"	0.0902666
slapper	0.0902059
scurry	0.0894377
"Mikhail Shtalenkov"	0.0893864
"Zach Thornton"	0.0892512
"Fred Brathwaite"	0.0892064
Ranford	0.0883036
"Chris Osgood"	0.0881244
"Steve Shields"	0.0871196
Vernon	0.0867102
goalie	0.0857
"Sean Burke"	0.0850479
Boucher	0.0812995
Burke	0.0808136
"John Vanbiesbrouck"	0.0802886
wrister	0.0795962
"Stephane Fiset"	0.0794373
"Tom Presthus"	0.0758647
Hackett	0.0730159
"Tom Barrasso"	0.0703483
"Jamie Storr"	0.0703318
"Olaf Kolzig"	0.0695244
"Rob Tallas"	0.0675376
crossbar	0.0666927
"Arturs Irbe"	0.066575
Pettitte	0.066012
Modano	0.0643014
Ligtenberg	0.0640672
"Dan Cloutier"	0.0629393
Selanne	0.0628659
Roussel	0.0621532
crease	0.0615076
Longo	0.0608411
Pioline	0.0607569
Dreifort	0.0605751
"Kevin Hartman"	0.0605668
Kidd	0.0601054
Theodore	0.0599824
Kariya	0.0599621
"Grant Fuhr"	0.059373
"Manny Legace"	0.0592467
Leiter	0.0592084
Jarrett	0.0589003
Hartman	0.0586915
Zito	0.0585081
Kitna	0.0574619
Nieuwendyk	0.0571737
Gooden	0.0570636
Fedorov	0.0568701
"Trevor Kidd"	0.0568354
"Fabien Barthez"	0.0565735
Brunell	0.0564162
Ganassi	0.056306
Taffarel	0.0557628
Jagr	0.0555468
Saberhagen	0.0551381
Robitaille	0.0549525
Andreychuk	0.0548783
"another @-pointer"	0.0547687
"Jorge Campos"	0.0543654
Carbonneau	0.0541472
DiPietro	0.0540554
Guthridge	0.0536744
Valdes	0.0536174
puck	0.0533555
Gogel	0.0533246
Ledee	0.0532369
"Brad Friedel"	0.0530559
Percival	0.0529439
"Manny Fernandez"	0.0524967
Summitt	0.0524705
Knoblauch	0.0521013
"Ken Daneyko"	0.0518221
Mercker	0.0516248
"Sergei Zubov"	0.0515055
Verbeek	0.0514294
Moyer	0.0513299
Wetteland	0.0512325
"Scott Stevens"	0.0511841
"Briana Scurry"	0.0510288
MacInnis	0.0509094
Mathis	0.0508129
Stottlemyre	0.050755
game-winner	0.0506759
Passarella	0.0505507
Campos	0.0504689
"Bill Buckner"	0.0504634
Biffle	0.0502045
Caminiti	0.0501919
FitzPatrick	0.0501424
Geiger	0.0498534
Sykora	0.0496911
Fassero	0.04967
"Felix Potvin"	0.0496281
Borbon	0.0495485
Nicol	0.0494826
Brister	0.0494817
O'Sullivan	0.0493857
Nedved	0.0492286
Sehorn	0.0492072
beamer	0.0492069
"Nikolai Khabibulin"	0.0491848
Benes	0.0490714
"Lyle Odelein"	0.0490418
"Petr Sykora"	0.0489447
goalkeeper	0.0488652
Gilmour	0.0487505
Alomar	0.0485755
Eldred	0.0484632
Rodriguez	0.0484377
Jeter	0.0483496
Appleby	0.0482395
Ripken	0.0482196
Belcher	0.0481123
Schmeichel	0.0479382
ISSEL	0.0479224
Varitek	0.0479067
Zanardi	0.0476702
Piot	0.047616
Gimelstob	0.0475313
Gagne	0.0473034
Valentin	0.0472748
McSorley	0.0472426
Parris	0.0471999
"Tony Meola"	0.0471552
Cowan	0.0471366
"Bobby Holik"	0.0470869
Obilic	0.0470552
Iverson	0.0470264
Agassi	0.0469878
Robson	0.0469753
"power play"	0.0469304
Dougherty	0.0468921
Laperriere	0.0468753
LeClair	0.0468737
Capriati	0.0468451
Krayzelburg	0.0467196
Boilermakers	0.046681
Schmid	0.0466773
Huskey	0.0466573
Bourque	0.0465062
"Sanchez Vicario"	0.0464933
Bledsoe	0.0464199
Baerga	0.0463974
Starzz	0.0463589
Pantani	0.0462808
"Joe Nieuwendyk"	0.0462216
"Richard Matvichuk"	0.0461152
Sydor	0.0461054
Gant	0.0461009
Devers	0.0459977
Benitez	0.0459566
Rueter	0.0459451
Sanchez-Vicario	0.0458856
Girardi	0.0458632
Herges	0.0457701
Solis	0.045705
Popov	0.0456811
Martinez	0.0455343
Hakkinen	0.0455316
Maggert	0.0455305
Okada	0.0454509
Glavine	0.0454186
Wald	0.0453243
Moehler	0.0453146
))
(Brody (desc 2660.89) (sims
Jaffe	0.0979312
Iglesias	0.0959461
Evan	0.0957227
Kenyon	0.0940909
Odai	0.0899777
Finkel	0.0886358
Wyatt	0.0883246
Grossman	0.0874006
Connor	0.0873436
Talebi	0.0847675
Lorenzo	0.0841597
Copeland	0.0834239
Gauthier	0.0827404
McGuire	0.0811331
Joshua	0.080006
Ahmed	0.0798542
Rosenthal	0.0792562
Paxon	0.0788805
Ivan	0.0788269
Samuel	0.0771473
Justin	0.0770934
Durant	0.0762166
Gullikson	0.0759342
Gerard	0.0758045
Moreno	0.0757727
Paolo	0.074819
Zachary	0.0747324
Rubenstein	0.0744769
Colin	0.0742593
timothy	0.0742498
"Dale Jr."	0.0736772
Dodi	0.073199
D'Alessandro	0.0731683
"David Jones"	0.0729384
Levitt	0.072696
Brock	0.0723422
Laudrup	0.0721685
T.J	0.0721218
Corey	0.0719018
Moran	0.0717336
Bashar	0.0713546
Zwick	0.0712842
Kurth	0.0710479
Jeffrey	0.0709708
Cameron	0.0707818
Kiareldeen	0.0707689
Brundtland	0.0707614
Altman	0.0703157
Walser	0.0702518
Kirk	0.0697669
Lerner	0.0696274
Hanley	0.069553
Deutsch	0.0694076
Omar	0.0694017
Heinrichs	0.0692504
Sheedy	0.0689794
Poole	0.0689417
Franz	0.0688526
Blackwell	0.0687833
Cowan	0.0687777
Prewitt	0.0687194
Julian	0.0686691
Duffy	0.0686211
Gerald	0.0682082
Erwin	0.0681313
Jayakumar	0.0679298
Brian	0.0677418
Shane	0.0677102
Anthony	0.0676139
Carl	0.0675229
Maurice	0.067474
Travis	0.0674567
Robby	0.0673042
Gregory	0.0671462
Bryan	0.067127
Midler	0.067118
Isaiah	0.0670034
Reiner	0.0669998
Bain	0.0669447
Clifford	0.0668069
Farnsworth	0.0668038
Michel	0.0667001
Rahal	0.0665148
McDonald	0.0663746
Ferrer	0.0662046
Henley	0.0661838
Zuma	0.0658788
Wexler	0.0656142
Joel	0.0655922
Romanowski	0.0652728
nance	0.065267
Ershad	0.0651917
Denis	0.0651025
Hayden	0.0650927
Weil	0.0646167
Katz	0.0645895
Liam	0.0644682
Ibrahim	0.0644464
petty	0.0643117
Barlow	0.0643056
Strauss-Kahn	0.0642667
Andres	0.0642651
Mullen	0.064217
Segal	0.0641746
Nicholas	0.0641694
Tyler	0.0641325
Neil	0.0640638
Jobe	0.0639661
Reyna	0.0639582
Hickman	0.0639271
Kenny	0.0637177
McCoy	0.0636983
Alatas	0.0635291
Shawn	0.063401
Weisman	0.0633317
Freedman	0.0632338
Quinn	0.0631479
Kyle	0.063045
Lloyd	0.0630307
Hallam	0.0629664
Gabriel	0.0629001
Chukwu	0.0624807
Ness	0.0624752
Rollins	0.0624603
Krzyzewski	0.0624139
Ulrich	0.0623608
Colbert	0.0622431
Sapp	0.0621894
Coen	0.0621865
Chevenement	0.062106
Patrick	0.0617275
Cody	0.0616939
Payne	0.0616091
Jeff	0.0616056
Walton	0.0615744
Hybl	0.0615663
Arum	0.0613226
Shoate	0.0613149
Marc	0.0612991
Jacob	0.0612731
Bartlett	0.0611831
Epps	0.0610954
Derek	0.0609075
Rashid	0.0608032
Farber	0.0607434
Ruelas	0.0607271
Mustafa	0.0606262
Chris	0.0605378
Weinberg	0.0604529
Pollack	0.0604167
Leahy	0.0603403
Steve	0.0603343
Malu	0.0603277
Samuelson	0.0602533
matt	0.0602042
Alves	0.0601866
Flockhart	0.0601259
TALBOT	0.0600774
Fleischer	0.0599974
McNamara	0.0598873
Zuckerman	0.0598331
Manuel	0.0597706
Marty	0.0597134
Richard	0.0596999
Mcbride	0.059532
Macdonald	0.0594772
Silverstein	0.0594701
Loeb	0.0594381
Chung	0.0593289
Schmid	0.0592277
Matthew	0.0592137
Ainge	0.0592062
Soyinka	0.0591793
Brett	0.0591474
O'Neil	0.0591249
Hoch	0.0591154
Dominic	0.0591135
"Wim Duisenberg"	0.0589019
Goff	0.058794
Zito	0.0587767
Parker	0.0587575
Storr	0.0587391
Stephen	0.058703
Farley	0.0586924
Fiorina	0.0584943
Vogel	0.0584873
Nathan	0.0584206
Goldstein	0.0583365
Setzer	0.0582205
Vinatieri	0.0582094
Trevor	0.0581634
Kane	0.0578187
Robert	0.0576611
Daniel	0.0575404
Billick	0.0575191
McIntyre	0.0574721
Brack	0.0574248
Horner	0.0574223
McCurry	0.0573897
bock	0.0573677
))
(Broek (desc 3035.23) (sims
"Leon Brittan"	0.236505
Brittan	0.16841
"Secretary General Esmat Abdul-Meguid"	0.136173
"Bud Selig"	0.131948
Klima	0.131017
Meguid	0.129286
Jayakumar	0.127214
Ikimi	0.125239
"de Charette"	0.124902
Fino	0.122352
Stoyanov	0.121769
Granik	0.117576
Wolfensohn	0.117448
Dini	0.1151
"Lamberto Dini"	0.114823
"Mary Robinson"	0.114343
Santer	0.114007
Tella	0.112962
Kasoulides	0.112551
Gurirab	0.11237
Narayanan	0.11113
Alatas	0.109835
"Secretary General Esmat Abdel-Meguid"	0.107819
Mkapa	0.106372
al-Sahhaf	0.106184
Khai	0.104092
Solana	0.104043
Sumaye	0.103676
Ahtisaari	0.103061
"Lakhdar Brahimi"	0.103037
Abdel-Meguid	0.101892
Pangalos	0.101866
Velayati	0.101137
al-Sahaf	0.100603
"Igor Ivanov"	0.100488
Siazon	0.100478
Kostov	0.100223
al-Khatib	0.100123
Ivanov	0.0999596
Juncker	0.0997389
Zou	0.0994827
"Romano Prodi"	0.0988578
Komura	0.0986456
"Carl Bildt"	0.0983093
"Valery Pustovoitenko"	0.0978712
Kabariti	0.0975747
Malu	0.0968459
Azizah	0.0963243
Camdessus	0.0961997
Ikeda	0.0957281
Kharrazi	0.0953466
"Jacques Santer"	0.0949801
Majali	0.0944979
Hoogenband	0.0942032
"executive agency"	0.093447
Jovanovic	0.0934286
Granic	0.0929571
Lipponen	0.0922307
Niyazov	0.0920411
Kok	0.091697
Ganzouri	0.0915838
Shevardnadze	0.0915791
Wilhelm	0.0912958
Aziz	0.0909448
Nzo	0.0907124
Insulza	0.0902458
"Chen Muhua"	0.0902121
"Javier Solana"	0.0900703
Juppe	0.0897403
"Lee Hsien Loong"	0.0897098
"Secretary of Commerce"	0.0892943
"Bashkim Fino"	0.0888729
"Pascoal Mocumbi"	0.0886123
Chissano	0.0884675
"David Stern"	0.0881822
Rifkind	0.0881773
Schuessel	0.0881707
Linden	0.0875089
"Economic and Monetary Union"	0.0874333
Kwasniewski	0.0868967
"Faisal Husseini"	0.0858967
"Antonio Guterres"	0.0858282
Karimov	0.085727
Scalfaro	0.0854986
Al-Sabah	0.0849223
Moratinos	0.0846719
Goh	0.0843832
"Kim Yong Nam"	0.0836509
Brundtland	0.0833074
al-Shara	0.0831116
Nazarbayev	0.0831013
al-Sharaa	0.0829442
Kyprianou	0.0822083
"Tang Jiaxuan"	0.0819816
Axworthy	0.081962
"Jordanian King Abdullah Bin Hussein"	0.0815565
Ruehe	0.0811523
"Ivan Kostov"	0.0810954
Kinkel	0.0810687
"Kamal Kharrazi"	0.081056
"Wlodzimierz Cimoszewicz"	0.0809858
Boueiz	0.0808471
Frei	0.0805275
Al-Faisal	0.0802196
"Secretary General Boutros Boutros-Ghali"	0.0801374
Luong	0.0799253
"Michael Heseltine"	0.0797701
Leghari	0.0797653
"Pandeli Majko"	0.0795181
Shaath	0.07916
Pickering	0.0791311
Moussa	0.0790872
Bloch	0.0789447
Ogata	0.0789119
Shareh	0.0788851
Ghali	0.0785094
"Stuart Eizenstat"	0.0784018
Nasrallah	0.0783808
el-Ganzouri	0.0779724
"Frederick Sumaye"	0.0779617
Cem	0.0777211
"Bizima Karaha"	0.0776745
Downer	0.0775703
Deuba	0.0772335
"Azizah Ismail"	0.0769517
Guterres	0.0765533
Khaddam	0.0764525
Azad	0.0764395
Vedrine	0.0764199
Kavan	0.0763441
Clerides	0.0763356
"Russian Security Council"	0.0762525
Brahimi	0.0761541
Talbott	0.0759586
Meles	0.0755942
Tarawneh	0.0751959
Orban	0.0751454
"Goran Persson"	0.0749686
Diouf	0.0748654
Shi	0.074619
"Victor Chernomyrdin"	0.0745591
"Abidine Ben Ali"	0.0744645
"Prime Minister Kamal El-Ganzouri"	0.0743819
"antitrust regulator"	0.0742599
vice-president	0.0740602
"David Levy"	0.0737836
Prodi	0.0737689
Husseini	0.0737625
"Ung Huot"	0.0736669
Boutros-Ghali	0.0736336
Dehaene	0.07362
Scharping	0.0733295
"Salim Ahmed Salim"	0.0732892
Phieu	0.0732441
"Chea Sim"	0.073233
"Shi Guangsheng"	0.0730345
"Chavalit Yongchaiyudh"	0.0728868
"Christopher Hill"	0.0727931
"H.D Deve Gowda"	0.0726
"Jerzy Buzek"	0.0724843
"Chief Executive Tung Chee-hwa"	0.0724759
Ebersol	0.0724424
"Wim Kok"	0.0723783
Constantinescu	0.0723221
"John Bruton"	0.0722739
"Vo Van Kiet"	0.0719666
Menem	0.0717918
Sponeck	0.0716889
"Atef Obeid"	0.0716068
Vollebaek	0.0712406
"Saeb Erekat"	0.0711598
Museveni	0.0709928
Mustafa	0.0709868
"Ricardo Alarcon"	0.07091
Sampaio	0.0707698
"Hubert Vedrine"	0.0707438
"Jose Maria Aznar"	0.0704445
Kuchma	0.0702647
Fleischer	0.0702434
Zeroual	0.070157
"Sepp Blatter"	0.0700841
"Tariq Aziz"	0.0699705
"Meles Zenawi"	0.0699682
Ben-Ami	0.0698035
Nujoma	0.0697769
Chavalit	0.0697484
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0696189
"Minister Shlomo Ben-Ami"	0.0695221
Kerik	0.0694
Bosch	0.0692377
Qiao	0.0691925
Muluzi	0.0689709
"Goh Chok Tong"	0.0686819
millon	0.0685603
"Paavo Lipponen"	0.0681691
Zuma	0.0681506
Shamshad	0.0679619
troika	0.0679608
Klestil	0.0679595
Barshefsky	0.0678261
))
(Brogna (desc 798.032) (sims
Burnitz	0.18611
Rolen	0.178454
Fryman	0.178343
Lieberthal	0.165815
Counsell	0.161314
Bragg	0.160914
Fullmer	0.160368
Loretta	0.157408
Hollandsworth	0.155532
Catalanotto	0.155495
"Marvin Benard"	0.151364
Abreu	0.151278
"Richie Sexson"	0.150789
Hatteberg	0.14834
Lofton	0.146853
Vidro	0.144313
"Herbert Perry"	0.142136
Leyritz	0.137248
Gilkey	0.135528
Spiers	0.135498
"Erubiel Durazo"	0.135119
Nevin	0.134129
"Benny Agbayani"	0.133552
DiSarcina	0.13289
Dunston	0.132517
"Deivi Cruz"	0.131726
Easley	0.130841
Bautista	0.130831
Gant	0.130142
"Kevin Jordan"	0.129174
Bordick	0.127918
Agbayani	0.12768
Canseco	0.127599
DeShields	0.127466
Cordero	0.126633
Alomar	0.126338
Stinnett	0.126289
"Kevin Young"	0.126156
Klesko	0.12596
Tatis	0.125838
Alicea	0.124684
"Javy Lopez"	0.12397
Baerga	0.12285
"Rico Brogna"	0.12284
"Terrence Long"	0.122637
Palmeiro	0.122636
"Henry Rodriguez"	0.122616
"Matt Franco"	0.122246
Cepeda	0.122206
"Cliff Floyd"	0.121885
Renteria	0.121844
"Dave Martinez"	0.119787
Ausmus	0.118927
"Tony Eusebio"	0.118577
"Edgar Renteria"	0.118362
"Lance Johnson"	0.117521
Higginson	0.117366
Bonilla	0.116802
Olerud	0.116706
Cirillo	0.116166
McGriff	0.115766
Alfonzo	0.115672
"Pokey Reese"	0.115486
Guillen	0.115444
Goodwin	0.115276
"Mike Lowell"	0.114916
Caminiti	0.114498
Giambi	0.114308
Batista	0.113999
"Matt Luke"	0.113876
Biggio	0.113834
Glanville	0.113776
"Ron Gant"	0.113455
Castilla	0.113347
"Harold Baines"	0.113222
Glaus	0.113171
Burks	0.113117
"Brian McRae"	0.113107
Brosius	0.11308
"Travis Fryman"	0.113033
Hidalgo	0.112933
"Mark Loretta"	0.112932
"Matt Walbeck"	0.112925
"Cristian Guzman"	0.112653
"Scott Brosius"	0.112612
Furcal	0.111812
"Rondell White"	0.111779
Daubach	0.111589
Alou	0.111552
"Vladimir Guerrero"	0.111168
Lampkin	0.110975
bloop	0.110909
"Doug Glanville"	0.110897
"Eric Owens"	0.110714
"Sandy Alomar"	0.110216
Beltran	0.110204
"Ron Coomer"	0.109911
Schmid	0.109709
Dellucci	0.109707
Buhner	0.109677
"Dante Bichette"	0.109449
Velarde	0.109285
Shurmur	0.109206
Hollins	0.108863
"Jim Thome"	0.108857
"Russ Johnson"	0.108742
Eldred	0.108709
"Gregg Jefferies"	0.108383
"Scott Spiezio"	0.108235
Meares	0.107788
"Francisco Cordova"	0.107771
Delgado	0.107396
Thome	0.107333
"Royce Clayton"	0.107286
Checo	0.107196
Helton	0.107036
"Mickey Morandini"	0.10701
Irvan	0.106994
Ruehe	0.106892
Grudzielanek	0.106888
Veras	0.106731
"Corey Koskie"	0.106718
Cora	0.106577
"Adam Kennedy"	0.106554
"Jay Payton"	0.106518
"Eric Chavez"	0.106384
Lawton	0.106237
"Chris Gomez"	0.106167
Santangelo	0.106101
"Kurt Abbott"	0.105974
Mabry	0.105966
"Scott Rolen"	0.105945
Elster	0.105889
"Wilton Guerrero"	0.105693
Garciaparra	0.10566
"Charlie Hayes"	0.105455
Ordonez	0.105329
"Fernando Vina"	0.10484
Briscoe	0.104546
Hundley	0.104328
Cedeno	0.104072
"Matt Lawton"	0.104071
"J.T Snow"	0.103948
Varitek	0.103767
"Carlos Lee"	0.103467
Sheldon	0.10321
"David Bell"	0.103015
"Joey Cora"	0.102971
Galarraga	0.10282
Summitt	0.102703
"Sean Casey"	0.102418
Ripken	0.102408
"Tony Graffanino"	0.101734
"Edgar Martinez"	0.101717
Konerko	0.101404
"Richard Hidalgo"	0.101336
"David Dellucci"	0.101309
"Jeff Kent"	0.100926
"Todd Walker"	0.100763
Karros	0.10059
"Geoff Jenkins"	0.100447
"Bill Spiers"	0.100255
"Brian Giles"	0.0996942
"David Segui"	0.0996877
"Tony Phillips"	0.0995265
"J.D Drew"	0.099481
"Joe Randa"	0.0992044
Candiotti	0.0989238
Valentin	0.098844
Ledee	0.0987323
"Eddie Perez"	0.0986651
Vizquel	0.0986245
"Ken Caminiti"	0.0984809
"Jason Kendall"	0.0984074
"Brady Anderson"	0.0980665
Remlinger	0.0979532
McLemore	0.0979293
Sexson	0.0976171
"Jeff Bagwell"	0.0975314
Lugo	0.0974991
"John Valentin"	0.0974893
"Otis Nixon"	0.0974764
"Derek Bell"	0.0974118
"Jose Valentin"	0.0973538
Guzman	0.0973464
"Damian Miller"	0.0972177
"Tony Batista"	0.0971893
"Gary DiSarcina"	0.0971689
"Phil Nevin"	0.0970607
"Andres Galarraga"	0.0970383
"Glenallen Hill"	0.0969565
"Neifi Perez"	0.096952
"Mike Lieberthal"	0.0968834
Gutierrez	0.0967329
"Will Clark"	0.0964861
"Bobby Higginson"	0.096283
Bagwell	0.0961923
"Kenny Lofton"	0.0960101
"Marty Cordova"	0.0959942
"Edgardo Alfonzo"	0.0958239
))
(brogue (desc 1502.06) (sims
lilt	0.103202
"rain cloud"	0.0886215
lass	0.0874815
sideburn	0.0813808
miniskirt	0.0762649
stout	0.076003
kilt	0.0741478
"mink coat"	0.0741271
bloke	0.0735709
miniskirts	0.0728211
freckle	0.0680851
mustache	0.0678457
burr	0.0655703
overcoat	0.0654615
"sweat pants"	0.0616085
eyeliner	0.061478
"pants suit"	0.0612318
drawl	0.0596891
moustache	0.0586346
braid	0.0583528
"evening gown"	0.0580726
loafer	0.0577606
pantsuit	0.0577506
beret	0.0571144
"M&AMP;Ms"	0.0565794
trouser	0.0563402
goatee	0.0562548
twang	0.0559729
briefcase	0.055536
undergrowth	0.0554747
patois	0.0553634
sandal	0.054214
"cowboy hat"	0.0540126
mane	0.0539809
"business suit"	0.0535337
diaspora	0.0523705
eyeglass	0.0523119
sarong	0.052255
"hot pants"	0.0521551
bagpiper	0.0520273
"blue jean"	0.0518495
womanhood	0.0517486
"fur coat"	0.0516131
complexion	0.0512855
gait	0.0511799
lamentation	0.050892
"booking agent"	0.0506611
agglomeration	0.0504984
fedora	0.050473
"felt hat"	0.0504121
bustier	0.0501528
pullover	0.0501415
"plantation owner"	0.049785
"ski mask"	0.0497348
ancestry	0.049443
"grocery bag"	0.0490527
"crew cut"	0.0488542
Riverdance	0.0487897
dialect	0.048754
visor	0.0484777
tricolor	0.0479316
"sports jacket"	0.0479252
timbre	0.0476709
underbrush	0.0475032
Roux	0.0468477
prosthesis	0.0464536
"extension cord"	0.0464226
"Sonia O'Sullivan"	0.0464144
Muir	0.0463416
windup	0.0461121
spandex	0.0460808
bluejeans	0.0460772
stubble	0.0459019
"cream sauce"	0.0456709
turtleneck	0.0449461
"John Bruton"	0.044828
stitching	0.0442292
ale	0.0440489
"sea captain"	0.0440442
mucus	0.0439477
"stiletto heel"	0.0437013
"cowboy boot"	0.0434905
"Lincoln Town Car"	0.0434762
FOP	0.0434136
Irishman	0.043401
necktie	0.0432249
mantelpiece	0.0432081
"coaxial cable"	0.0431191
"cloud cover"	0.0428462
"Robin Cook"	0.0428136
"leather jacket"	0.0428038
choker	0.0427789
undershirt	0.0426903
goo	0.0425459
Poncho	0.0423479
legging	0.0422436
discoloration	0.042173
antler	0.0421556
rainforests	0.0419431
"dark glasses"	0.0419393
"baseball glove"	0.0416788
schtick	0.0413947
plumage	0.0412997
dimple	0.0412968
lapel	0.0412388
suede	0.0411769
moonscape	0.0410767
"bowler hat"	0.0409572
"contact lense"	0.0408442
"writing style"	0.040732
nobleman	0.0406358
Hummer	0.0406311
"stage director"	0.0405443
"vegetable soup"	0.04048
musicality	0.0402315
jig	0.0400835
"partner in crime"	0.0400407
))
(broiler (desc 5517.64) (sims
oven	0.171586
GRIDDLE	0.13338
grill	0.120733
rotisserie	0.108074
skillet	0.0914658
microwave	0.082948
pan	0.0826315
roasting	0.0784691
wok	0.0775468
fryer	0.0758937
"hot plate"	0.0725311
stove	0.0690822
receivership	0.065222
"frying pan"	0.063871
frying	0.056325
saucepan	0.0548601
"Dutch oven"	0.0539976
burner	0.0539574
"water heater"	0.0535601
charcoal	0.0512466
"gas stove"	0.0488693
cooker	0.0482435
toaster	0.0477354
"olive oil"	0.0457008
floodlight	0.0443609
"space heater"	0.0442361
freezer	0.0437361
"room temperature"	0.0430015
kebab	0.0427319
marinade	0.0419147
air-conditioner	0.0417452
steamer	0.041527
"peanut oil"	0.0407774
blender	0.0400384
"microwave oven"	0.0400302
))
(Brokaw (desc 2653.44) (sims
"Tom Brokaw"	0.155003
"Peter Jennings"	0.100569
"Walter Cronkite"	0.0991206
LeBlanc	0.0954942
Halberstam	0.0921329
McPhee	0.087412
McCourt	0.0866766
Puzo	0.086525
editorialist	0.0842161
Junger	0.0826418
"David Halberstam"	0.0818189
McMurtry	0.0808196
Crichton	0.0796895
Shriver	0.0781321
Menchu	0.0770269
Sobel	0.0767765
Harr	0.0765004
"Tim Russert"	0.076417
Cronkite	0.0757346
Caddell	0.0756048
"Ted Koppel"	0.0742154
Wolff	0.0729516
Gerstner	0.0728207
Silverstein	0.0727731
DERSHOWITZ	0.0722939
Hersh	0.072155
Schell	0.0715527
"Edmund Morris"	0.0715398
Sheehy	0.0713783
Hatfield	0.0701893
Gutman	0.0695309
Hitchens	0.0691552
Rivlin	0.0689032
Weiner	0.0688313
Patten	0.0686651
Epstein	0.0684679
"Katie Couric"	0.0681057
Weinstein	0.0677928
Cleary	0.0674546
"President Lee Teng-hui"	0.0673803
Eszterhas	0.0667189
Canty	0.0665995
Ogilvy	0.0664883
Ritter	0.0661925
McNamara	0.0661912
hough	0.0661494
"Dan Rather"	0.0660833
Schaeffer	0.0660824
"Larry McMurtry"	0.0658497
Hirsch	0.0658373
Wilder	0.0655994
Fuhrman	0.0655267
Alexie	0.0654205
"defense lawyers"	0.0652892
Weil	0.0652707
Rushdie	0.0652541
noone	0.065242
Healy	0.0647917
HELLER	0.0641456
Theroux	0.0636814
"Patsy Ramsey"	0.0631857
Lipstadt	0.0626788
Cline	0.0626474
Fuentes	0.0625852
Grisham	0.0619764
McKenna	0.0617419
Bowles	0.061727
"Barry R. McCaffrey"	0.0616905
"Matt Lauer"	0.061444
"Lewis Carroll"	0.0612276
Mukora	0.0611633
Ciampi	0.0604615
Myhrvold	0.060453
Muller	0.0603519
Titov	0.060309
"George Carlin"	0.0600401
Dodd	0.0599832
Heyward	0.0598843
Stossel	0.0597897
Atkinson	0.0595178
Northup	0.0591639
Galindo	0.0587112
Ruehe	0.0585691
Friedman	0.0583238
"Don Imus"	0.0583025
Hamill	0.0581631
Lehrer	0.0581183
Nabokov	0.0581153
Singson	0.0580685
Irving	0.0580004
Bryson	0.0579515
Hodler	0.0578974
Neely	0.0576302
Whipple	0.0575606
Insulza	0.0575315
Kaplan	0.0573086
Cornwell	0.0572861
"Brian Williams"	0.0571251
Hine	0.0568343
Alarcon	0.0565993
"John Anderson"	0.0565605
Ganga	0.0565415
Galbraith	0.0564882
Tevanian	0.0562802
Remnick	0.0562709
Woodard	0.0562533
Plante	0.0561293
Maher	0.0560001
Heaney	0.0559936
Borges	0.05589
Welty	0.0558791
Kissinger	0.0557479
Posner	0.0555173
Goff	0.0555058
Fernandes	0.0553679
Weldon	0.0553162
Conrad	0.0553076
Tuttle	0.055286
Katz	0.0550905
Isikoff	0.0549758
Mortimer	0.0548975
Boorman	0.0548959
Ziegler	0.0548314
Rosenthal	0.0548027
Sadie	0.0547933
Cooley	0.0545355
Horowitz	0.0544212
"George Will"	0.054393
jacoby	0.0543257
Eggers	0.0542095
Korman	0.0541734
Jennings	0.0540431
Andersen	0.0540139
Purdy	0.05395
Nickerson	0.0538366
Whitfield	0.0537232
Vonnegut	0.0535382
Adler	0.0534169
Kornberg	0.0532911
"E.B White"	0.0532701
Barksdale	0.0531768
Keaton	0.0531134
Lassiter	0.0527228
Margolis	0.05265
Hartley	0.0526047
Harmon	0.0525242
Hyman	0.0524716
Condit	0.052363
hodgson	0.0523076
Westin	0.0518861
Wilhelm	0.0518828
Zeng	0.0518577
"Zhou Nan"	0.0518279
Lowry	0.0517422
"Gore Vidal"	0.0515012
Hamdoon	0.0514656
Hevesi	0.0514253
Vidal	0.0513904
"David Remnick"	0.0513625
Boueiz	0.0513568
Hynes	0.0513337
Harrer	0.0511394
Jayakumar	0.0510365
Kidder	0.0509514
Grachev	0.050869
Cleese	0.0508399
Morrison	0.050834
Neel	0.0507201
Postol	0.050662
McEwan	0.0506263
Klima	0.0505468
Loewen	0.0504879
Schwartz	0.0504681
Dunne	0.0504564
Inhofe	0.0504021
Cashman	0.0503924
"George Stephanopoulos"	0.0503376
Blount	0.0503344
Cavanaugh	0.0502364
Christensen	0.0501928
O'Neil	0.0501619
Shulman	0.0500654
Salinger	0.0500649
Muckler	0.0500184
Pryor	0.050004
Eizenstat	0.0499741
Blackmun	0.0499471
McMullen	0.0499259
Whaley	0.0498981
Kaczynski	0.0498279
Soderbergh	0.0497739
Alioto	0.049743
"Mike Wallace"	0.049585
Wolfensohn	0.04955
Berger	0.0494517
Arnett	0.0493065
McCurry	0.0492484
Gaffney	0.0492299
Gielgud	0.0491524
Thurber	0.0491406
))
(broker (desc 61425.1) (sims
"brokerage firm"	0.207284
brokerage	0.193474
dealer	0.164699
stockbroker	0.15864
trader	0.156138
banker	0.141254
lender	0.131248
firm	0.130849
"investment banker"	0.130183
"brokerage house"	0.126934
retailer	0.126482
insurer	0.125509
investor	0.124216
seller	0.120869
underwriter	0.117898
bank	0.117533
contractor	0.117506
operator	0.117085
supplier	0.116868
"travel agent"	0.116475
provider	0.116155
developer	0.116074
company	0.114364
buyer	0.113527
distributor	0.111717
manufacturer	0.111151
merchant	0.110652
"insurance company"	0.110389
"investment adviser"	0.108495
accountant	0.108175
"venture capitalist"	0.106782
lawyer	0.105647
doctor	0.105504
customer	0.10433
manager	0.10422
"financial institution"	0.104176
client	0.10268
vendor	0.102474
consultant	0.101484
executive	0.100704
agent	0.10059
employee	0.100167
wholesaler	0.10016
analyst	0.0999936
employer	0.0998822
physician	0.0979494
promoter	0.0970705
"market maker"	0.0969532
intermediary	0.0966581
importer	0.0965628
"real estate agent"	0.0964729
consumer	0.0951054
regulator	0.0946429
entrepreneur	0.0945848
airline	0.0942706
exporter	0.0941437
"travel agency"	0.0937279
mediator	0.0932391
corporation	0.093176
marketers	0.0930523
"commercial bank"	0.0930149
professional	0.0925477
agency	0.0917539
middlemen	0.0912666
lobbyist	0.0909717
owner	0.0905569
"investment house"	0.0896528
businessmen	0.0893468
speculator	0.0884567
"phone company"	0.0881165
grower	0.0880073
producer	0.0877797
user	0.0872101
landlord	0.0870098
"real estate broker"	0.0864233
collector	0.0858896
individual	0.0857767
maker	0.0857501
auditor	0.0856792
adviser	0.0856112
farmer	0.0854813
"mutual fund"	0.0853472
publisher	0.0850876
"Wall Street analyst"	0.0842922
official	0.0840827
politician	0.0840521
advertiser	0.0831201
partner	0.0830883
engineer	0.0825123
shipper	0.082465
builder	0.0824347
planner	0.0824201
automakers	0.0823093
issuers	0.0819778
officer	0.0819288
Attorney	0.0819007
carrier	0.0817718
economist	0.0814326
businessman	0.081186
teacher	0.0810873
homeowner	0.0807166
"currency trader"	0.080018
worker	0.0798687
expert	0.0797054
architect	0.079394
business	0.0792912
scientist	0.0785576
bookseller	0.0784764
recruiter	0.078405
prosecutor	0.0776603
competitor	0.0775873
counselor	0.0774586
member	0.0774379
HMO	0.0767592
educator	0.0764366
creditor	0.0763806
borrower	0.0758878
financier	0.0757829
shareholder	0.0757618
therapist	0.0756896
specialist	0.0756033
sponsor	0.0752205
journalist	0.0751898
insider	0.0751283
"health maintenance organization"	0.0746962
institution	0.0746929
pharmacist	0.0745805
clerk	0.0743213
administrator	0.0741127
technician	0.0740461
researcher	0.073922
pilot	0.073817
designer	0.0732035
resellers	0.0731516
Programmer	0.0727277
"health care provider"	0.0726808
investigator	0.0725392
group	0.0724747
landowner	0.0720328
"insurance agent"	0.0718224
utility	0.0718115
"telephone company"	0.071677
bidder	0.0714877
broadcaster	0.0714346
Realtor	0.0711491
"car dealer"	0.0710482
"business executive"	0.0709367
shopper	0.0707408
"finance company"	0.0706894
principal	0.070202
bottlers	0.0701831
Industrialist	0.0701107
associate	0.0700718
nurse	0.0699735
strategist	0.0699429
salesman	0.0699113
appraiser	0.0699
subsidiary	0.0696977
grocer	0.069606
auctioneer	0.0695605
"pension fund"	0.0695061
"insurance broker"	0.0692989
"auction house"	0.0692647
"corporate executive"	0.0691852
advocate	0.0690625
organization	0.0689997
outlet	0.0689659
telemarketers	0.0689026
facilitator	0.0688093
staffer	0.0686409
tenant	0.0682367
"bond trader"	0.0681557
"police officer"	0.0681371
"property owner"	0.068109
"real estate developer"	0.0680797
"business leader"	0.0679319
fund	0.0678751
resident	0.0676764
parent	0.067656
salespeople	0.0675382
"staff member"	0.067503
artist	0.067252
student	0.0671459
forecaster	0.0671018
"home buyer"	0.0670618
aide	0.0670032
supervisor	0.0668709
salesmen	0.0668207
activist	0.0668136
ISPs	0.066777
donor	0.0666004
purchaser	0.0662974
Pharmacy	0.0662554
middleman	0.0661371
enterprise	0.065953
participant	0.0659339
Hunter	0.0656914
smuggler	0.0656239
driver	0.065444
person	0.0653429
))
(brokerage (desc 32014.3) (sims
"brokerage firm"	0.319509
"brokerage house"	0.266983
broker	0.193474
"investment house"	0.154785
firm	0.152499
bank	0.146584
"insurance company"	0.139752
"mutual fund"	0.138669
"financial institution"	0.13273
insurer	0.128562
"finance company"	0.126519
banking	0.125275
"commercial bank"	0.125257
"travel agency"	0.117023
company	0.116234
"life insurer"	0.11603
retailer	0.112783
airline	0.111947
"merchant bank"	0.107526
corporation	0.107482
"brokerage unit"	0.106904
"insurance firm"	0.105709
"investment trust"	0.104
"Merrill Lynch"	0.103324
"phone company"	0.103078
"investment firm"	0.102625
"telephone company"	0.102198
"futures exchange"	0.101567
utility	0.101406
provider	0.0998183
lender	0.0995267
conglomerate	0.0992552
"department store"	0.0984967
"investment banking"	0.0977406
"stock exchange"	0.0972406
PaineWebber	0.0968438
"brokerage account"	0.0946322
subsidiary	0.0946046
"ING Barings"	0.0945669
retailing	0.0945097
"Lehman Brothers"	0.0940928
"health maintenance organization"	0.0939514
"advertising agency"	0.093895
"toy retailer"	0.0933645
"banking company"	0.0928129
automaker	0.0922123
"Morgan Stanley Dean Witter"	0.0919304
underwriter	0.0917928
"Donaldson, Lufkin &AMP; Jenrette"	0.0910745
steelmaker	0.0910568
"auction house"	0.0910549
carrier	0.0910345
automakers	0.0900536
wholesaler	0.0900351
"consulting firm"	0.0899223
issuers	0.0897005
"real estate"	0.089676
business	0.0894899
"Morgan Stanley"	0.0891133
stockbroker	0.0889623
bottler	0.0885848
dealer	0.0885463
"cable operator"	0.0885168
"Bankers Trust"	0.0884471
"consulting company"	0.0880976
"Credit Suisse First Boston"	0.0880118
"ad agency"	0.0877875
retail	0.0871582
startup	0.0869168
"electronics company"	0.086774
"food company"	0.086476
"Bank of America"	0.0864303
manufacturer	0.0860764
"building society"	0.0860504
Schwab	0.0851193
"Bear Stearns"	0.0849842
trader	0.0849311
operator	0.0847199
HMO	0.0846398
maker	0.0846147
"drug maker"	0.0842649
"department store chain"	0.0836982
chain	0.0835131
agency	0.0830953
supplier	0.0830428
"holding company"	0.0830006
"Goldman Sachs"	0.0827474
exporter	0.0826522
"auto maker"	0.0826152
"Russian bank"	0.082516
"Fidelity Investments"	0.0824434
Banks	0.0822214
"accounting firm"	0.0820265
"J.P. Morgan"	0.08193
insurance	0.0817204
"mining company"	0.0815711
"power company"	0.0815586
"Robertson Stephens"	0.0810889
brewery	0.0808448
"pension fund"	0.0808177
Citibank	0.0806315
institution	0.0803932
"shipping company"	0.0802545
drugstore	0.0799038
"investment fund"	0.0798674
distributor	0.0796502
"car maker"	0.0795919
importer	0.0794325
All-Tech	0.0793871
consultancy	0.0792916
investor	0.0788785
seller	0.0788128
"credit union"	0.0787572
"Merrill Lynch &AMP; Co."	0.0785503
"Salomon Smith Barney"	0.0784483
"market maker"	0.0784291
"publishing company"	0.0781691
Pharmacy	0.0780786
refiner	0.077505
"retail store"	0.0774656
developer	0.0770483
BankAmerica	0.0768532
enterprise	0.076803
thrift	0.0766075
"chain store"	0.0766054
multinationals	0.0765786
Telecoms	0.0764806
bookseller	0.0762845
"toy store"	0.0761264
telecommunication	0.0760211
"bank holding company"	0.0759485
bottlers	0.0758761
industry	0.0758426
"Charles Schwab"	0.0756999
"retail chain"	0.075555
issuer	0.0755148
"clearing house"	0.0754805
merchant	0.075449
employer	0.0753437
contractor	0.0748434
Paribas	0.0747585
resellers	0.074625
"savings bank"	0.0746224
"radio station"	0.0744553
"Prudential Securities"	0.0744111
"ABN AMRO"	0.0743268
"auto company"	0.0741267
"life insurance"	0.0737404
railroad	0.0735371
Casino	0.0734708
Aetna	0.0734161
"home builder"	0.0733246
"software maker"	0.0731668
ETrade	0.0728814
"trucking company"	0.0727005
aerospace	0.0725397
"television station"	0.0724102
ISPs	0.0722051
pharmaceutical	0.0721858
giant	0.072066
cooperative	0.0720575
outlet	0.0717721
publishing	0.0717503
venture	0.0715838
shipbuilder	0.0714627
"defense contractor"	0.071266
"steel company"	0.0711672
store	0.0711088
bookstore	0.0707451
"information service"	0.0706696
Citigroup	0.0706386
Telecom	0.0706114
"publishing house"	0.0706099
vendor	0.0704498
"Time Warner"	0.0703715
grocer	0.0703392
consumer	0.0702493
Lycos	0.0701133
"Hambrecht &AMP; Quist"	0.0700352
"Deutsche Bank"	0.0698857
branch	0.0698055
"Paine Webber"	0.0697388
ISP	0.0694357
shop	0.0691707
fund	0.0690813
Goldman	0.0690776
"travel agent"	0.0689057
"insurance broker"	0.0688616
Cisco	0.0688571
"Edward Jones"	0.0688425
Portal	0.0688081
banker	0.0687373
affiliate	0.068469
commerce	0.0684233
"savings and loan"	0.0684003
supermarket	0.068313
IBM	0.0682493
manufacturing	0.0682142
auto	0.0681262
Datek	0.0681088
))
("brokerage account" (desc 3318.46) (sims
"checking account"	0.142818
"retirement account"	0.142403
annuity	0.134201
"retirement plan"	0.131501
"retail operation"	0.110101
"brokerage house"	0.103408
"savings account"	0.0982454
"mutual fund"	0.0960064
brokerage	0.0946322
"bank account"	0.0919784
"savings bond"	0.0882989
"bank vault"	0.0870675
escrow	0.0831868
"Roth IRA"	0.0824287
"brokerage unit"	0.082147
"account statement"	0.0812229
"gambling casino"	0.081107
"Vanguard Index @@@"	0.0810322
"life insurance"	0.0777989
"charge card"	0.0755771
"equity fund"	0.0753583
"toy retailer"	0.0747894
"gross income"	0.0740572
homepages	0.0736101
"investment portfolio"	0.0733664
"delivery service"	0.0724609
"bond fund"	0.0724447
"credit card"	0.0718879
"brokerage firm"	0.0711233
"deposit box"	0.0709395
"sales outlet"	0.0698078
"line of business"	0.0696641
"common shares"	0.069514
"beauty shop"	0.0673555
endoscope	0.0660167
"securities business"	0.0658904
mortgage	0.0654543
"insurance firm"	0.0636087
"certificate of deposit"	0.0633428
"money market"	0.0628238
IRA	0.0625741
enrollee	0.0614903
"telephone service"	0.0611788
"branch office"	0.0610845
"phone line"	0.0604927
Hotlines	0.0602965
"incentive program"	0.0597227
"line of work"	0.0595968
"tax return"	0.0594132
"home mortgage"	0.0593348
"advertising agency"	0.0587257
"clearing house"	0.0581676
puritan	0.0577915
retailing	0.0577557
"credit bureau"	0.057733
"securities trading"	0.057458
classifieds	0.0572203
"credit union"	0.0566515
"common stock"	0.0565946
"pen pal"	0.0563183
webcams	0.0563095
"application program"	0.0562655
"Roth IRAs"	0.0560149
"voting system"	0.0555446
"yellow pages"	0.055457
"work group"	0.0553697
pseudonym	0.055273
"stock trader"	0.0551479
coding	0.055096
registrant	0.0550352
"order form"	0.0549323
"investment fund"	0.0548121
"insurance business"	0.0547939
homepage	0.0546964
intranets	0.0545312
"information provider"	0.054525
"jam session"	0.0544246
ETrade	0.0544031
"cash machine"	0.0543408
"capital gain"	0.0542302
Reel.com	0.0542295
"toy store"	0.054134
"trading operation"	0.054034
"magnifying glass"	0.0537027
calculator	0.0535063
"employment contract"	0.0534243
"telephone directory"	0.0533842
"retail store"	0.0533239
"monitoring program"	0.053307
"closed-end fund"	0.053057
"parlor game"	0.0529014
"trust fund"	0.0527968
superstore	0.0526991
"point system"	0.0526042
"business unit"	0.0525657
"computer store"	0.0524882
"credit line"	0.0524508
"automatic teller machine"	0.0523464
"death benefit"	0.0522899
subscription	0.0520939
"income tax return"	0.0520625
"computer network"	0.0520004
"reading program"	0.0518819
"bank deposit"	0.0517229
"insurance policy"	0.0516746
"marketing program"	0.0515873
incubator	0.0515846
megaplexes	0.0515721
newsgroup	0.0515344
"degree program"	0.0514929
"telephone line"	0.0514593
"software product"	0.0514057
drugstore	0.051404
postage	0.0513704
floppy	0.0513635
"line of products"	0.0512915
"portable computer"	0.0512675
"disability insurance"	0.0512289
"pension fund"	0.0512116
password	0.0508578
pornographer	0.050845
K	0.050792
"Y chromosome"	0.0507739
"cargo container"	0.050423
"moral obligation"	0.050276
"fax machine"	0.0501444
"export credit"	0.0501262
Benex	0.0500342
"glove compartment"	0.0499971
Gaming	0.0498813
"line of credit"	0.0497352
MarketWatch.com	0.0497252
"geographical area"	0.0496838
mammograms	0.0495041
pantry	0.0494829
"fringe benefit"	0.0494825
"work day"	0.0494388
"Social Security benefit"	0.0493322
"stock option"	0.0491032
"medical bill"	0.0490713
grocer	0.048923
reinsurance	0.0488048
"phone bill"	0.0487421
"retirement benefit"	0.0485778
stockbroker	0.0484316
transistor	0.048403
databank	0.0482496
"information service"	0.0481081
ICS	0.0477478
"accounting system"	0.0477306
"fire sale"	0.0475134
"phone service"	0.0475029
videophone	0.0474169
"hot line"	0.047268
"jewelry store"	0.0472623
"reference work"	0.047207
"guardian angel"	0.0471361
"travel agency"	0.0471314
"automated teller machine"	0.0471072
coupon	0.0470094
alimony	0.046844
bookshop	0.046821
"public utility"	0.0467562
gamers	0.046756
"Peter Lynch"	0.046717
"medical practice"	0.0466873
"trust company"	0.0466119
"law practice"	0.0466043
"investment adviser"	0.0465786
Services	0.0465738
"tax incentive"	0.0465632
"brain cell"	0.0465298
smut	0.0464748
"ballpoint pen"	0.046436
zine	0.0464155
"sugar refinery"	0.0464102
"computer file"	0.0463547
Indexing	0.0463222
"investment house"	0.0463194
spreadsheet	0.0462001
browsers	0.0461021
refusals	0.0460099
"particle accelerator"	0.045985
"coffee bar"	0.045963
tutorial	0.0458839
"trading post"	0.0458597
pager	0.0457759
"three pitchers"	0.0457724
workweek	0.0453783
booking	0.0453528
"radio signal"	0.0453353
"communications network"	0.0453239
"boarding pass"	0.0452876
thrift	0.0452543
Porn	0.0452119
spas	0.045206
"fire drill"	0.0451651
websites	0.0451554
CRT	0.0451315
"discount store"	0.0450911
))
("brokerage firm" (desc 27601.9) (sims
brokerage	0.319509
"brokerage house"	0.262895
broker	0.207284
"investment house"	0.164319
firm	0.160992
bank	0.141135
"insurance company"	0.136685
insurer	0.126922
"financial institution"	0.125107
"finance company"	0.123881
"investment firm"	0.122199
company	0.117809
"Merrill Lynch"	0.116475
"commercial bank"	0.116056
"Bear Stearns"	0.11356
"Lehman Brothers"	0.112409
lender	0.112162
retailer	0.110843
"travel agency"	0.110781
"banking company"	0.108833
"Morgan Stanley"	0.10788
airline	0.106752
"mutual fund"	0.106339
"insurance firm"	0.10551
"consulting firm"	0.105461
"Goldman Sachs"	0.103693
PaineWebber	0.103611
"advertising agency"	0.103371
corporation	0.102338
"Donaldson, Lufkin &AMP; Jenrette"	0.102232
"ad agency"	0.102037
"merchant bank"	0.101744
"phone company"	0.101178
"Prudential Securities"	0.101053
automakers	0.100282
"market maker"	0.0990595
underwriter	0.0990336
Schwab	0.098027
"Morgan Stanley Dean Witter"	0.0974353
provider	0.0972461
"brokerage unit"	0.0966904
"trucking company"	0.0966744
"life insurer"	0.0958576
"Paine Webber"	0.0958319
"telephone company"	0.0957441
"building society"	0.0954241
"accounting firm"	0.0943219
"Bankers Trust"	0.0938808
"Credit Suisse First Boston"	0.0937418
"pension fund"	0.0936822
"toy retailer"	0.0932236
"Hambrecht &AMP; Quist"	0.0931954
"auction house"	0.0931548
"J.P. Morgan"	0.0931112
conglomerate	0.0929673
"Robertson Stephens"	0.092802
"health maintenance organization"	0.0927876
"bank holding company"	0.092676
manufacturer	0.091927
"publishing company"	0.0915271
"Deutsche Bank"	0.0913732
"cable operator"	0.0912558
utility	0.0911119
Goldman	0.0910342
agency	0.0908202
dealer	0.0907608
stockbroker	0.0906367
"futures exchange"	0.0902259
wholesaler	0.0894089
"Merrill Lynch &AMP; Co."	0.0892711
carrier	0.0886828
"investment banker"	0.0882074
ETrade	0.0880709
"Salomon Smith Barney"	0.0878045
operator	0.0877135
contractor	0.0876182
bottlers	0.0858259
"consulting company"	0.0857686
BankAmerica	0.0854372
"Bank of America"	0.0852502
bookseller	0.0850647
issuers	0.0849728
"Russian bank"	0.0848058
"software maker"	0.0846822
developer	0.0845655
"Jupiter Communications"	0.0835487
multinationals	0.0831772
"power company"	0.0831027
investor	0.0829485
"drug maker"	0.0828539
subsidiary	0.0824517
"stock exchange"	0.0824161
"Warburg Dillon Read"	0.0823564
"department store"	0.08227
employer	0.081876
"credit union"	0.0816131
"electronics company"	0.0815833
HMO	0.0814336
"mining company"	0.0813544
"travel agent"	0.0808925
distributor	0.0807225
automaker	0.0805531
banker	0.0805135
"Charles Schwab"	0.0804932
supplier	0.0800666
seller	0.0800252
"food company"	0.0799203
merchant	0.0796639
maker	0.0795797
institution	0.0791892
Aetna	0.0790594
"savings bank"	0.0787863
"publishing house"	0.0785509
brewery	0.0785165
"retail chain"	0.0784822
trader	0.0782429
"department store chain"	0.0779164
thrift	0.0777006
"BancBoston Robertson Stephens"	0.0770026
"Fidelity Investments"	0.076767
Citibank	0.0761753
"investment trust"	0.0758716
ISPs	0.0758023
"ABN AMRO"	0.075643
Pharmacy	0.0745291
bottler	0.0745233
bookstore	0.0743772
publisher	0.0739773
chain	0.0738406
"auto maker"	0.073654
"Wells Fargo"	0.0734648
"auto company"	0.0734627
issuer	0.0734031
"nonprofit organization"	0.0731546
"radio station"	0.0729514
"financial organization"	0.072598
"investment fund"	0.0721668
"Goldman, Sachs &AMP; Co."	0.0718504
"trade association"	0.0717834
"defense contractor"	0.0716871
affiliate	0.0716145
startup	0.0715649
shipper	0.0715133
"investment adviser"	0.071424
enterprise	0.0714059
"brokerage account"	0.0711233
AmeriTrade	0.0711136
"school district"	0.0710128
giant	0.0709781
"television station"	0.0709686
"shipping company"	0.0708736
advertiser	0.0705904
grocer	0.0705412
exporter	0.0703724
"home builder"	0.0699665
regulator	0.06973
Citigroup	0.0697152
"Bell Atlantic"	0.0696389
marketers	0.0696045
steelmaker	0.0695406
Intel	0.069466
hospital	0.0691628
"savings and loan"	0.0690872
outlet	0.0688359
Banks	0.0687585
Monsanto	0.0685747
"Time Warner"	0.0685699
"television network"	0.0685495
"retail store"	0.0683982
All-Tech	0.0681988
"employment agency"	0.0680446
Cisco	0.067992
resellers	0.0678524
"Chase Manhattan Bank"	0.0678438
vendor	0.0677558
"central bank"	0.0675749
cooperative	0.0675668
Boeing	0.0673979
"A.R Baron"	0.067344
creditor	0.0672796
"holding company"	0.0672449
Casino	0.0670856
banking	0.0670682
Exxon	0.0669493
Coca-Cola	0.0668644
"credit bureau"	0.066824
"ING Barings"	0.0667277
"post office"	0.0666531
university	0.0666163
"Coca-Cola Enterprises"	0.0666054
UBS	0.0665755
"printing company"	0.0663868
"America Online"	0.0663818
speculator	0.0663297
"TV station"	0.0662361
Priceline.com	0.0660041
"car maker"	0.0659819
"steel company"	0.0658222
"U S West"	0.0657992
"chain store"	0.0657681
))
("brokerage house" (desc 8288.66) (sims
brokerage	0.266983
"brokerage firm"	0.262895
"investment house"	0.187382
"life insurer"	0.152472
steelmaker	0.134647
"building society"	0.128692
"electronics company"	0.127071
broker	0.126934
"finance company"	0.125781
refiner	0.117216
"insurance firm"	0.116869
issuers	0.115149
"advertising agency"	0.109641
"auto company"	0.108994
insurer	0.108691
"insurance company"	0.108621
"Goldman Sachs"	0.10793
carmakers	0.107919
"car maker"	0.104065
"commercial bank"	0.104
"financial institution"	0.103428
"brokerage account"	0.103408
"Morgan Stanley Dean Witter"	0.102539
"ING Barings"	0.102436
"bank holding company"	0.101956
"travel agency"	0.10017
"Lehman Brothers"	0.0989721
"retail chain"	0.0987363
PaineWebber	0.0986901
underwriter	0.098069
shipbuilder	0.0976516
"auto maker"	0.0961731
"accounting firm"	0.0958714
"Prudential Securities"	0.0957322
"credit bureau"	0.095591
"department store chain"	0.0950346
"Credit Suisse First Boston"	0.0946304
"telephone company"	0.0943615
"food company"	0.0938318
"merchant bank"	0.09348
"home builder"	0.0932883
wholesaler	0.0929363
multinationals	0.0925958
"ad agency"	0.0921173
"cable operator"	0.0920736
stockbroker	0.0919916
automakers	0.0918318
retailer	0.0916868
"banking company"	0.0907424
"toy retailer"	0.0905522
"NationsBanc Montgomery Securities"	0.0904158
"consulting firm"	0.0903013
"phone company"	0.0902922
"Russian bank"	0.0900523
"Donaldson, Lufkin &AMP; Jenrette"	0.0899974
"Bear Stearns"	0.0898713
"credit union"	0.0890806
"publishing company"	0.088945
"steel company"	0.0888536
corporation	0.0884946
"Merrill Lynch"	0.0880608
"business organization"	0.0878893
lender	0.0878034
"Chase Manhattan Bank"	0.0870331
"department store"	0.0868928
"drug maker"	0.0863274
"futures exchange"	0.0852441
resellers	0.0851643
"brokerage unit"	0.0850639
"car manufacturer"	0.0848708
carmaker	0.084648
bottlers	0.0844608
"publishing house"	0.0844034
"software maker"	0.0843702
"Warburg Dillon Read"	0.0840315
merchandiser	0.0836565
drugmakers	0.083528
"trucking company"	0.0827422
"market maker"	0.0825901
brewery	0.0821693
"defense contractor"	0.0816111
"Salomon Smith Barney"	0.0814383
thrift	0.081434
"health maintenance organization"	0.08135
utility	0.0812667
"mining company"	0.0811829
conglomerate	0.0810823
distributor	0.0808249
"Internet Service Providers"	0.0807909
"Hambrecht &AMP; Quist"	0.0803824
"shipping company"	0.0799993
"ABN AMRO"	0.0796699
"Salomon Brothers"	0.0794974
Banks	0.0794964
"Merrill Lynch &AMP; Co."	0.0792744
"pension fund"	0.079267
automaker	0.0789004
manufacturer	0.0783146
importer	0.0777806
"power company"	0.0770538
"educational institution"	0.0768013
airline	0.0767988
"Goldman, Sachs &AMP; Co."	0.0765535
grocer	0.0762489
"car dealer"	0.0762429
chaebol	0.0758065
transnationals	0.0755848
"transportation company"	0.0754395
"J.P. Morgan"	0.0754157
"Nomura Securities"	0.0753379
"medical institution"	0.0748013
Banc	0.0747353
"Morgan Stanley"	0.0745937
"Bank of America"	0.0742609
Goldman	0.0737519
"Charles Schwab Corp."	0.0735555
Commerzbank	0.0735351
"stock exchange"	0.0734769
"Robertson Stephens"	0.0724026
exporter	0.072149
"semiconductor maker"	0.0720888
"BancBoston Robertson Stephens"	0.0720574
"toy maker"	0.0717032
"tire maker"	0.0712834
consortia	0.0712331
"NEC Corp."	0.0711744
hypermarket	0.0711679
"retail operation"	0.0707864
supplier	0.0705387
"trust company"	0.070416
ISPs	0.070257
drugstore	0.0701962
"auto manufacturer"	0.0699821
maker	0.0697042
"mutual fund"	0.069585
"Deutsche Bank"	0.0695149
"Paine Webber"	0.0694579
"Ministry of International Trade and Industry"	0.0693578
"J.P. Morgan &AMP; Co."	0.0692277
"Sanwa Bank"	0.0692161
"savings bank"	0.0691608
"financial organization"	0.068957
"toy store"	0.0687371
"real estate developer"	0.0687121
Pharmacy	0.0687097
provider	0.0682875
"business establishment"	0.0680935
shipper	0.0680426
"investment firm"	0.0679791
"Goldman Sachs &AMP; Co."	0.0676092
carrier	0.0675787
"auction house"	0.0674425
developer	0.0670011
"bus company"	0.0669889
dealer	0.0668197
"service station"	0.0664237
toymaker	0.0659866
"Jupiter Communications"	0.0657192
"consulting company"	0.0654835
"printing company"	0.0652995
"Nippon Credit Bank"	0.0651743
operator	0.0651741
"post office"	0.0651096
assembler	0.0650504
"retail store"	0.0649795
"Charles Schwab"	0.0649734
"Industrial Bank of Japan"	0.0648746
"investment trust"	0.0648742
"clothing store"	0.064748
marketer	0.0647172
merchant	0.0646398
bookseller	0.0646295
"holding company"	0.0645075
"Credit Suisse"	0.0644728
"Bank of Tokyo-Mitsubishi"	0.0644665
winery	0.0643723
"steel mill"	0.0643549
trader	0.0641139
ETrade	0.0639329
"jewelry store"	0.0633569
"Yamaichi Securities Co."	0.0633446
subsidiary	0.0632604
"Goldman Sachs Group"	0.0631312
"Investors Service"	0.062566
"venture capitalist"	0.0625415
bookstore	0.0625252
"Fidelity Investments"	0.0624915
state-owned	0.0624594
"investment banker"	0.0623274
"Dai-Ichi Kangyo Bank"	0.0621633
supermarket	0.0621055
"lending institution"	0.0618701
"Dresdner Bank"	0.0617955
"Smith &AMP; Wesson"	0.061776
"investment adviser"	0.0617173
"oil producer"	0.0617106
eateries	0.0616471
"subsidiary company"	0.0615618
"Toyota Motor Corp."	0.0614548
"investment fund"	0.0614066
))
("brokerage unit" (desc 1754.57) (sims
"retail operation"	0.123039
brokerage	0.106904
"brokerage firm"	0.0966904
"Charles Schwab Corp."	0.0901441
"line of products"	0.08945
"brokerage house"	0.0850639
"brokerage account"	0.082147
"Amazon.com Inc."	0.0770796
"business unit"	0.075301
"Services division"	0.0745678
"clothing chain"	0.0744555
"Atlanta Committee"	0.0729186
"Kosovo Verification Mission"	0.0725368
"subsidiary company"	0.0724781
"Coca-Cola Enterprises"	0.0671714
"reserve fund"	0.0663196
"department store chain"	0.0619203
resellers	0.0614464
"marketing program"	0.0607268
"toy retailer"	0.0606376
"retail chain"	0.0603108
salespeople	0.0596896
"degree program"	0.0595092
Priceline.com	0.0586638
"delivery service"	0.0584294
"account statement"	0.0583497
"two units"	0.0576445
"incentive program"	0.0573946
"Charles Schwab"	0.0561554
"Oracle Corp."	0.0560928
"Waste Management"	0.0560311
scrip	0.0559391
"holding company"	0.05538
"Operation Lifeline Sudan"	0.0552914
"Go Network"	0.0544159
superstore	0.0539103
grocer	0.0536694
"toy store"	0.0531544
"branch office"	0.0527699
"trading post"	0.0527365
Webvan	0.0523775
"savings bank"	0.0523265
ETrade	0.0521606
"jewelry store"	0.0520244
"United Republic of Tanzania"	0.0514955
"endowment fund"	0.0509413
"clothing store"	0.0508529
"preferred shares"	0.0507521
mart	0.0506269
ICTR	0.05039
"intelligence operation"	0.0500258
MarketWatch.com	0.0499689
"United Democratic Movement"	0.0499587
databank	0.0499436
"advisory board"	0.0498224
"Export-Import Bank"	0.0497924
Litton	0.0492759
UAL	0.0491343
"business line"	0.0490494
Clothier	0.0489894
BankAmerica	0.0488238
"bond offering"	0.0486094
"equity fund"	0.0485117
divestiture	0.0484568
reseller	0.0483424
UNMOVIC	0.0481625
"Niagara Mohawk"	0.0481142
NiSource	0.0475228
SmithKline	0.0473804
"insurance business"	0.0473199
"private corporation"	0.0472832
"selling price"	0.0471263
"Super League"	0.0471204
"bank rate"	0.0468067
SGI	0.0467804
Reel.com	0.0466877
E-Trade	0.0466541
"Gap Inc."	0.0463514
"common shares"	0.0462153
zine	0.0461321
"U.S. Trust"	0.0457606
"international criminal court"	0.0455403
"semiconductor maker"	0.0455329
MindSpring	0.045484
"information provider"	0.0454679
"Baby Bells"	0.0453987
Salon.com	0.0453216
"Federated Department Stores"	0.0452774
"retail store"	0.045118
Unisys	0.0451061
bottler	0.0450732
"employment agency"	0.0450035
REIT	0.0450019
"Charles Schwab &AMP; Co."	0.0449072
homepages	0.0448655
"promotional material"	0.0446437
"steering committee"	0.0445397
government-in-exile	0.0444391
"trade association"	0.0443788
"trading operation"	0.0443756
"private foundation"	0.0442736
"Free Trade Area"	0.0442436
"computer store"	0.0441935
PRIMESTAR	0.0441086
EPZs	0.0439964
Drugstore.com	0.0439569
Informix	0.0439297
transnationals	0.0437408
"National Semiconductor"	0.0436684
"Business Council"	0.0436434
"debt load"	0.0436332
"distribution network"	0.0436118
"African Economic Community"	0.0436001
"investment trust"	0.0432967
"Playstation II"	0.043249
auctioneer	0.0431665
pseudonym	0.0430349
"monitoring program"	0.0430346
Barnesandnoble.com	0.0430193
SCLC	0.0428772
megaplex	0.0428594
florist	0.0427471
"Quick &AMP; Reilly"	0.0426611
"fire wall"	0.0426314
"World Intellectual Property Organization"	0.042539
PAC	0.0421074
"Office @@@@"	0.0419488
AMP	0.0419206
ECN	0.041886
personae	0.0418145
"American Petroleum Institute"	0.0417519
"Con Edison"	0.0417385
UBS	0.0417278
"political movement"	0.041685
"Catholic Charities"	0.0415788
"Southwest Airlines"	0.0414571
"Universal Music Group"	0.0414316
"lynch mob"	0.0414307
pornographer	0.0414144
Agilent	0.0413698
WebMD	0.0413654
"consulting company"	0.0412816
"aerospace giant"	0.0412499
"tax base"	0.0412187
"Times Co."	0.0411578
"banking company"	0.0409859
intranet	0.0408634
Peapod	0.0408324
"entertainment business"	0.0407543
Avis	0.0407111
"order book"	0.0407028
"military mission"	0.0405652
"UBS AG"	0.0405308
"tax income"	0.0405055
"Dell Computer Corp."	0.0403971
Biogen	0.0403968
"Bear Stearns"	0.0403675
"investment portfolio"	0.0402699
"Learning Co."	0.0402395
"truck sale"	0.040078
Cendant	0.0400183
))
(bromide (desc 2398.28) (sims
chloride	0.0895115
platitude	0.0832084
cliche	0.0727261
axiom	0.0629036
canard	0.0615205
formaldehyde	0.0582371
warhorse	0.0558961
homily	0.0555177
potassium	0.0537927
asbestos	0.0532674
drivel	0.0526526
generics	0.0517829
orthodoxy	0.0509096
"safety feature"	0.0488377
"four-letter word"	0.0474272
Truism	0.047413
adage	0.0473536
benediction	0.0464424
POTASH	0.045704
tritium	0.045645
witticism	0.0450847
spiel	0.044924
trifle	0.0443192
AZT	0.0437608
radium	0.0436373
"inferiority complex"	0.0436342
humanism	0.0433795
hyperbole	0.0433356
IC	0.043262
"Lord's Prayer"	0.042822
narration	0.0422685
tungsten	0.0421871
widget	0.0414907
caveat	0.0408421
"situation comedy"	0.0408063
flooring	0.0404203
nevirapine	0.0403962
maxim	0.0403179
"shock therapy"	0.0402946
loony	0.0400353
))
(bronchitis (desc 4811.44) (sims
"sore throat"	0.285699
gastroenteritis	0.270737
pneumonia	0.261529
diarrhea	0.250147
asthma	0.234759
"respiratory disease"	0.234628
ulcer	0.227235
diarrhoea	0.219534
Dysentery	0.218206
influenza	0.216082
emphysema	0.216035
stomachache	0.214663
Meningitis	0.21028
hepatitis	0.200117
flu	0.197258
cough	0.195568
arthritis	0.191011
epilepsy	0.189117
"skin disease"	0.18842
leukemia	0.179227
"heart failure"	0.1788
hypertension	0.177724
"congestive heart failure"	0.176393
"hay fever"	0.176356
fever	0.176018
anemia	0.174091
"cardiovascular disease"	0.173067
insomnia	0.172757
"asthma attack"	0.171397
"back pain"	0.171326
ailment	0.17012
diabetes	0.166971
constipation	0.16497
"heart disease"	0.164415
"lung cancer"	0.160318
"rheumatoid arthritis"	0.159075
allergy	0.156989
tuberculosis	0.149205
"liver disease"	0.149168
infection	0.148928
indigestion	0.14821
"hepatitis B"	0.147921
malaria	0.146853
typhoid	0.145794
Osteoporosis	0.144776
glaucoma	0.144173
nausea	0.143823
malnutrition	0.143342
vomiting	0.138711
dehydration	0.138665
"upset stomach"	0.138577
"kidney disease"	0.138475
"chest pain"	0.138097
"food poisoning"	0.137713
headache	0.137176
"Lyme disease"	0.136934
angina	0.136817
"cystic fibrosis"	0.136567
"common cold"	0.136464
"multiple sclerosis"	0.136063
heartburn	0.132169
measles	0.131654
"Parkinson's disease"	0.131615
osteoarthritis	0.13113
dizziness	0.130024
"writer's block"	0.129419
"high blood pressure"	0.128891
jaundice	0.127566
inflammation	0.126783
acne	0.126696
"eye disease"	0.12485
"heart condition"	0.124085
illness	0.123954
"blood clot"	0.123934
lymphoma	0.123495
syndrome	0.121813
fatigue	0.120545
schizophrenia	0.119933
"mental disorder"	0.117752
cramp	0.116044
migraine	0.115313
Exhaustion	0.114859
"skin rash"	0.114319
"stage fright"	0.114214
"tooth decay"	0.112884
Obesity	0.111584
Depression	0.111504
tendinitis	0.110591
cold	0.110524
"acquired immune deficiency syndrome"	0.110274
gonorrhea	0.110193
hypothermia	0.109405
gangrene	0.109339
dementia	0.108893
"brain tumor"	0.108065
impotence	0.107844
frostbite	0.107564
pox	0.107087
hernia	0.106869
"manic depression"	0.106396
disorder	0.106039
leprosy	0.105778
cancer	0.105461
"venereal disease"	0.105453
cholera	0.104983
incontinence	0.104618
symptom	0.104283
"cerebral palsy"	0.104266
Alcoholism	0.103938
"memory loss"	0.103511
cataract	0.102578
"kidney stone"	0.102205
"heart attack"	0.101302
encephalitis	0.101144
ache	0.101131
"skin cancer"	0.100756
lupus	0.100639
palpitation	0.100428
"colon cancer"	0.0994915
hemorrhage	0.0985157
paralysis	0.0977989
cirrhosis	0.0976889
Tb	0.0973468
rash	0.0966195
Alzheimer	0.0960386
"neurological disorder"	0.0960001
coughing	0.0958197
"infectious disease"	0.0951613
shortness	0.0934175
tiredness	0.091897
chickenpox	0.0917908
"mental illness"	0.0914441
Dengue	0.0912994
als	0.0909649
syphilis	0.090807
infertility	0.0905507
poisoning	0.0900645
nearsightedness	0.0895681
"health problem"	0.0895206
atherosclerosis	0.0894301
abscess	0.0889237
apnea	0.0883597
abnormality	0.0882005
sinus	0.0881923
psoriasis	0.0881796
irritation	0.0880071
trauma	0.0877468
"inferiority complex"	0.0876355
miscarriage	0.0870014
melanoma	0.08666
"sexually transmitted disease"	0.0862427
"typhoid fever"	0.0860322
polio	0.0857161
sickness	0.0853248
defect	0.0840547
malady	0.0840387
"lead poisoning"	0.0835762
fibrillation	0.0830566
deformity	0.0829936
sprain	0.0825156
"neurological disease"	0.082359
reflux	0.0823525
retardation	0.0822988
"muscular dystrophy"	0.0821933
swelling	0.0821015
Parkinson's	0.0816793
myeloma	0.0812846
autism	0.0809887
disability	0.0793082
hemophilia	0.0792448
complication	0.0784649
sore	0.0781534
Psychosis	0.0776971
polyp	0.0766969
"dengue fever"	0.076222
amnesia	0.0755019
hyperinflation	0.0752975
HIV	0.0744038
deafness	0.0739517
suffocation	0.073186
heartbeat	0.0730246
"drug addiction"	0.072608
hunger	0.0719638
disorientation	0.0710208
seizure	0.0707049
diphtheria	0.0706502
hangover	0.0704083
fracture	0.0703426
"HIV/ AIDS"	0.0702818
blindness	0.0702256
"substance abuse"	0.0700968
"genetic disease"	0.070078
relapse	0.0697861
"blood pressure"	0.0695667
"ill health"	0.069028
deficiency	0.0689564
lesion	0.068814
tumor	0.0687757
"heat exhaustion"	0.0685775
overcapacity	0.0685358
))
(bronco (desc 36848.6) (sims
"Denver Broncos"	0.29326
falcon	0.21683
BEARS	0.204475
packer	0.203342
Eagles	0.20103
Seahawks	0.197963
Redskin	0.19513
ram	0.194586
Giants	0.192855
cowboy	0.192199
Steelers	0.191289
Viking	0.187486
raider	0.186824
Denver	0.179818
patriot	0.179099
dolphin	0.177722
charger	0.167879
cardinal	0.167812
oiler	0.166598
"Dallas Cowboys"	0.166366
panther	0.165765
"ATLANTA FALCONS"	0.160632
colt	0.160181
wildcat	0.157714
"Minnesota Vikings"	0.157599
BUCCANEER	0.156716
husky	0.156561
bruin	0.156017
"San Francisco @@ers"	0.153235
"Green Bay Packers"	0.15294
"St. Louis Rams"	0.152484
"New York Giants"	0.150564
Bengals	0.15043
Seminoles	0.149408
Trojan	0.148814
Raven	0.148017
"Green Bay"	0.146273
Bucs	0.144602
"New York Jets"	0.144253
bulldog	0.142635
"Chicago Bears"	0.142511
"Washington Redskins"	0.140986
titan	0.140266
matador	0.138946
Longhorn	0.137183
jet	0.135521
Lakers	0.134707
"Miami Dolphins"	0.133511
Saint	0.131448
Cornhusker	0.131173
Jaguar	0.129779
Celtics	0.128873
pacer	0.128007
"Red Wings"	0.127719
Knicks	0.126269
"Tennessee Titans"	0.125911
"Buffalo Bills"	0.12569
Yankee	0.124784
Boilermakers	0.124697
Aggies	0.124585
"Florida State"	0.124116
"New England Patriots"	0.124084
spur	0.123658
buckeye	0.123361
UCLA	0.123014
"Indianapolis Colts"	0.122805
gamecock	0.12214
USC	0.121434
"Michigan State"	0.120516
Gators	0.120304
"Virginia Tech"	0.120284
Sooners	0.120105
"Arizona Cardinals"	0.120032
"Philadelphia Eagles"	0.119281
"San Diego Chargers"	0.11906
"Penn State"	0.118793
Sonics	0.118677
"Tar Heels"	0.118111
"Los Angeles Lakers"	0.117877
"Kansas City Chiefs"	0.117866
"Cincinnati Bengals"	0.117532
brave	0.116972
Spartan	0.116932
"Tampa Bay"	0.116847
"Chicago Bulls"	0.116811
Jacksonville	0.116686
Vols	0.116459
lion	0.116162
Mets	0.116043
"Pittsburgh Steelers"	0.115782
Padre	0.115714
"Red Sox"	0.115411
clipper	0.115357
"Carolina Panthers"	0.115187
"blue devil"	0.115063
"Jacksonville Jaguars"	0.114279
"Oakland Raiders"	0.114137
"New Orleans Saints"	0.113846
Huskers	0.113596
Tennessee	0.113576
Purdue	0.112239
Dallas	0.112192
"Nittany Lions"	0.110828
dodger	0.110783
"Cleveland Browns"	0.110597
Hokies	0.110307
Wolverine	0.10962
"Seattle Seahawks"	0.109593
"D.C. United"	0.10954
ranger	0.109497
cougar	0.109225
piston	0.108893
"Kansas State"	0.10845
"San Antonio Spurs"	0.108111
marlin	0.107869
"Detroit Lions"	0.107613
Stanford	0.106959
ASTROS	0.106493
bull	0.106284
UConn	0.105568
Orioles	0.105499
"Ohio State"	0.105354
Wolfpack	0.105301
"Notre Dame"	0.10503
devil	0.105021
LSU	0.104846
Sox	0.104817
badger	0.104249
ASU	0.104079
sabre	0.10407
Hornet	0.10354
Miami	0.103459
Hawkeyes	0.103019
A's	0.102539
team	0.10244
MetroStars	0.102241
"Iowa State"	0.101909
"Indiana Pacers"	0.101778
TCU	0.101406
"Oregon State"	0.101345
"Utah Jazz"	0.101154
Minnesota	0.100967
Nebraska	0.100885
"White Sox"	0.100846
maverick	0.100514
Buffalo	0.100356
CSUN	0.0999855
"blue jay"	0.0994875
hawk	0.0987863
"Mississippi State"	0.0984432
Syracuse	0.0979858
Rutgers	0.0978706
Duke	0.0976572
blazer	0.0973724
"Baltimore Ravens"	0.0969181
"Trail Blazers"	0.096809
"Los Angeles Clippers"	0.0967367
"Crimson Tide"	0.0967285
mariner	0.0966307
cub	0.0965192
Phillies	0.0962336
Carolina	0.0960973
"Arizona State"	0.0960825
Jayhawks	0.0958347
Royals	0.0957505
"Maple Leafs"	0.0954693
"New England"	0.0950648
tiger	0.0948522
"Sacramento Kings"	0.0943972
BYU	0.0943654
Pittsburgh	0.0941448
islander	0.093889
Detroit	0.0937523
sixer	0.0933297
"Houston Rockets"	0.0931569
"Miami Heat"	0.0929198
"Dallas Stars"	0.0928403
"Tampa Bay Buccaneers"	0.0926494
coyote	0.0925165
"Georgia Southern"	0.0922552
Oakland	0.0921406
"Texas Tech"	0.0920912
Razorback	0.0920526
"Detroit Red Wings"	0.0919974
grizzly	0.0914547
tech	0.0908795
comet	0.0901902
cavalier	0.0897212
Arizona	0.0893718
"New York Knicks"	0.0889039
"New York Rangers"	0.0887374
"Boston College"	0.0887278
Canadiens	0.0882463
Minutemen	0.0881001
"New York Yankees"	0.0880471
flyer	0.0876537
"St. Louis"	0.0873304
Clemson	0.08717
"San Jose State"	0.0871289
"Houston Comets"	0.087088
))
(Brondby (desc 2782.37) (sims
Besiktas	0.262117
Schalke	0.230878
"Schalke @@"	0.219617
"Kenneth Carlsen"	0.219062
Fenerbahce	0.192853
Independiente	0.19233
"Deportivo Coruna"	0.188389
Kaiserslautern	0.187318
Anderlecht	0.185595
Gremio	0.184984
Galatasaray	0.182865
Rosenborg	0.182072
"Olympique Marseille"	0.179766
Feyenoord	0.176385
"Sturm Graz"	0.175211
Bastia	0.171635
"Werder Bremen"	0.16885
"Athletic Bilbao"	0.167623
"VfB Stuttgart"	0.165695
"Borussia Dortmund"	0.165514
"PSV Eindhoven"	0.164973
"Velez Sarsfield"	0.164778
"Albert Portas"	0.164443
"Rainer Schuttler"	0.164111
Espanyol	0.164071
Zamalek	0.160576
Obilic	0.159542
"Borussia Moenchengladbach"	0.156222
"Dynamo Kiev"	0.155267
Necaxa	0.155122
"Camilla Martin"	0.15511
Nacional	0.155032
Benfica	0.153789
"Celta Vigo"	0.153375
Panathinaikos	0.151871
Olympiakos	0.151044
"Colo Colo"	0.15087
Penarol	0.149535
Palmeiras	0.14942
"Partizan Belgrade"	0.149259
Salernitana	0.145919
"Atletico Madrid"	0.145864
"Coventry City"	0.145863
Heerenveen	0.145305
Valladolid	0.144988
Metz	0.144568
"Real Sociedad"	0.142889
"Sargis Sargsian"	0.140815
"Paola Suarez"	0.140626
Udinese	0.140259
"Real Madrid"	0.139993
Porto	0.139459
"Inter Milan"	0.138766
Atletico	0.138636
"Glasgow Rangers"	0.138279
"Hernan Gumy"	0.138119
"Mariano Zabaleta"	0.138033
"VfL Wolfsburg"	0.137513
Torino	0.137119
"River Plate"	0.136998
"Bayer Leverkusen"	0.136503
"Jubilo Iwata"	0.136078
"Amy Frazier"	0.135955
"Joannette Kruger"	0.135954
"Anne Kremer"	0.135155
"FC Porto"	0.134948
"Leicester City"	0.134922
"Ajax Amsterdam"	0.134453
Valencia	0.133714
"Arnaud Di Pasquale"	0.133677
Napoli	0.133455
Sevilla	0.133018
Flamengo	0.132402
"Peter Gade Christensen"	0.131941
Alaves	0.131648
"Peter Rasmussen"	0.131144
"Asa Carlsson"	0.130914
"Naoko Sawamatsu"	0.1306
"Richard Fromberg"	0.130508
Cruzeiro	0.13042
"Slavia Prague"	0.130233
Auxerre	0.130217
"Dalian Wanda"	0.129791
"Newcastle United"	0.129568
"Sebastien Grosjean"	0.12869
corinthian	0.128181
"Paris St Germain"	0.128121
Parma	0.127485
"Barbara Schwartz"	0.127151
"Tatiana Panova"	0.127135
"Olympiakos Piraeus"	0.126664
Gama	0.126608
"San Lorenzo"	0.126065
"Galo Blanco"	0.125974
"Scott Draper"	0.125635
Fiorentina	0.124927
"Boca Juniors"	0.124803
"Karim Alami"	0.124656
"Filip Dewulf"	0.124418
"Albert Costa"	0.124038
Olimpia	0.123975
"Spartak Moscow"	0.123585
"Magnus Gustafsson"	0.123065
Watford	0.123008
"AC Milan"	0.122331
"Adrian Voinea"	0.121881
"Shanghai Shenhua"	0.121847
"Marcelo Filippini"	0.121789
"Nicolas Escude"	0.121788
"Jean-Philippe Gatien"	0.121744
"Nottingham Forest"	0.121556
"Arnaud Clement"	0.121137
Juventus	0.120945
"Nicole Pratt"	0.120916
"Bayern Munich"	0.120856
Venezia	0.120318
Ajax	0.120249
"Gianluca Pozzi"	0.119683
Freiburg	0.119031
Bayern	0.118955
"Leeds United"	0.118916
Dosedel	0.1188
Mallorca	0.118737
"Fabrice Santoro"	0.11854
"Sarah Pitkowski"	0.118433
Everton	0.118266
"Barbara Paulus"	0.118124
"Magdalena Maleeva"	0.117823
"Magui Serna"	0.117495
"Stefan Edberg"	0.117109
"Sergi Bruguera"	0.117008
Shenhua	0.116661
"Christian Ruud"	0.1166
"Roger Federer"	0.116498
"Sjeng Schalken"	0.11638
"Florencia Labat"	0.116164
"Franco Squillari"	0.115831
"West Ham United"	0.11562
Piacenza	0.115583
"Dominique Van Roost"	0.115437
"Manchester United"	0.114989
Montpellier	0.114937
"Tara Snyder"	0.11466
"Renzo Furlan"	0.114573
"Jerome Golmard"	0.114521
"Bradford City"	0.114428
"Croatia Zagreb"	0.114091
"Jonathan Stark"	0.114049
Wolfsburg	0.114017
Lecce	0.11397
"Kinder Bologna"	0.113614
"Slava Dosedel"	0.113472
Leverkusen	0.113368
Atalanta	0.113339
Betis	0.112901
Maribor	0.112847
FC	0.112449
"Mikael Tillstrom"	0.112344
Rostock	0.112226
"Elena Likhovtseva"	0.111869
"Nathalie Dechy"	0.111802
"Barbara Rittner"	0.111524
"Ai Sugiyama"	0.11131
Cagliari	0.111232
Estudiantes	0.111212
"Tottenham Hotspur"	0.111159
Bruguera	0.11105
"Wilson Kipketer"	0.110789
"Derby County"	0.110617
"Ramon Delgado"	0.1106
Fulham	0.11058
"Hertha Berlin"	0.110537
Tenerife	0.110511
"Vincent Spadea"	0.109611
"Chicago Fire"	0.109548
"Javier Sanchez"	0.109339
"Wayne Black"	0.109194
Sampdoria	0.109021
"Richey Reneberg"	0.10897
Andorra	0.108862
"Andrei Pavel"	0.108601
"David Prinosil"	0.108495
"Andreas Vinciguerra"	0.108209
"Marc Rosset"	0.108059
"Davide Sanguinetti"	0.108031
"Oliver McCall"	0.107706
"Arnaud Boetsch"	0.107668
"Magnus Norman"	0.107565
"Daniel Nestor"	0.107512
Duisburg	0.107137
"Chinese Army"	0.106771
"Real Betis"	0.106729
"Sabine Appelmans"	0.106637
Barcelona	0.106622
"Kveta Hrdlickova"	0.10656
Perugia	0.106096
"Arantxa Sanchez-Vicario"	0.105817
"Silvia Farina"	0.105487
"Younes El Aynaoui"	0.105276
"Guillaume Raoux"	0.104417
Leeds	0.104111
"Ruxandra Dragomir"	0.104103
Zaragoza	0.104077
"Francisco Clavet"	0.104016
"Rita Grande"	0.103837
"American Chanda Rubin"	0.103626
"Fernando Meligeni"	0.103197
"Rodney Eyles"	0.102952
"Els Callens"	0.102668
Tottenham	0.102645
"Red Star"	0.102462
"Paul Goldstein"	0.102113
"Conchita Martinez"	0.102088
"Crystal Palace"	0.102076
Raja	0.102051
"Bjarne Riis"	0.101982
"Xavier Malisse"	0.101974
"Miriam Oremans"	0.101868
"Catalina Cristea"	0.101651
"FC Barcelona"	0.101457
"Jennifer Capriati"	0.101186
"Sichuan Quanxing"	0.10117
"Leander Paes"	0.10098
Spartak	0.100205
"Guangzhou Apollo"	0.100131
"Michael Stich"	0.100048
))
(Bronfman (desc 1873.23) (sims
Ruehe	0.167908
Eizenstat	0.160091
Rodionov	0.140098
Colburn	0.136785
Finkel	0.130518
Schmalensee	0.130389
Rossotti	0.129426
Tevanian	0.126142
Diouf	0.124906
Rosen	0.124253
Myhrvold	0.122523
Maritz	0.121592
Jarrell	0.12043
Goossen	0.120098
Velayati	0.119866
Lipponen	0.119825
Breuer	0.118746
Felten	0.118071
Dunleavy	0.117413
Ratner	0.116811
Rongen	0.116047
Musa	0.113001
Holl	0.11247
Singson	0.111437
Cuomo	0.111212
Advani	0.110733
Byers	0.110351
Bidwill	0.109869
Wolfson	0.10953
Kasoulides	0.108622
Barksdale	0.108312
Jovanovic	0.107548
Ebersol	0.10736
Dodik	0.1073
Hindery	0.106827
Carnahan	0.106305
Lew	0.105745
McCaw	0.105085
Arens	0.10438
Allchin	0.104355
Reimer	0.103425
Erving	0.102802
Farber	0.102411
Wagoner	0.102325
Ruggiero	0.102276
Siazon	0.10198
Alderson	0.101745
Hamlin	0.101668
Ivester	0.101356
Gullit	0.101239
Meissner	0.101235
Scharping	0.100888
Constantinescu	0.100839
Aventajado	0.100553
Alarcon	0.100271
Vasile	0.100253
Pugh	0.100121
Moratinos	0.0994581
Shevardnadze	0.0993704
Daft	0.0990198
Meguid	0.0988064
Donohue	0.0987119
Milbury	0.0986498
Zamora	0.0984097
Riady	0.0981734
Zhirinovsky	0.0979849
McCurry	0.0979613
Rawabdeh	0.0979385
Glaser	0.0976845
Jayakumar	0.0971878
Tsang	0.0970299
"de Charette"	0.0962792
Chavalit	0.0960676
Fassett	0.0959305
Houghton	0.0959169
Azizah	0.0956945
Zarb	0.0955159
Boueiz	0.0953737
Rylander	0.0952914
McMullen	0.0950648
Ikeda	0.0950222
Grasso	0.0946353
Marineau	0.0945122
Zucker	0.0944752
Leung	0.0944286
Hess	0.0943761
Sheehan	0.0942261
Koskinen	0.0939257
Kyprianou	0.0938505
Maslyukov	0.0938345
Kono	0.0938344
Teresi	0.0932085
Goldin	0.0931575
Wyly	0.0929685
Camacho	0.0928262
Monahan	0.0927769
Paxon	0.0927459
Klima	0.0925243
Lundberg	0.0925179
Wiggins	0.0922844
Kornberg	0.0922564
Hauser	0.0922104
Sills	0.09216
LaPierre	0.091739
Karimov	0.0916781
Aguirre	0.0915459
Manley	0.091486
Daley	0.0914417
Koch	0.0913394
Mendez	0.0912908
Abernathy	0.0911933
Sather	0.0910882
Siegel	0.0909233
D'Alessandro	0.0905586
Nazarbayev	0.0903007
Bambang	0.0902449
Gillick	0.0900522
Nasser	0.09001
Farley	0.0898951
Schottenheimer	0.0896716
Meles	0.0896101
Monson	0.089562
Talebi	0.0894377
Prueher	0.0893427
Troussier	0.0892663
Guterres	0.0892354
Newhouse	0.0892044
Jacquet	0.0891989
Azizan	0.089147
Azad	0.0889592
Condit	0.0889013
Stoyanov	0.0886157
Stayner	0.0885301
Shipley	0.0883737
Kessler	0.0880368
Popovich	0.0880354
Sassa	0.0880099
McLane	0.088007
Menard	0.0877643
Abdel-Meguid	0.0877638
Sorensen	0.087618
Rashid	0.0874768
Sasser	0.0874518
Kulikov	0.0874358
Marinovich	0.087394
UAM	0.0871816
Ikimi	0.0871473
Ackerman	0.0871436
Ftorek	0.0870465
Alatas	0.086988
Shinn	0.0869785
"administration official"	0.0869645
Camdessus	0.0868912
Aleman	0.0868191
Poole	0.0867561
Bruton	0.0865611
Rothenberg	0.0865014
Nzo	0.0862251
Rifkind	0.0861371
Beazley	0.0858698
Slocum	0.0858037
Waddell	0.085695
pressman	0.0852943
Aziz	0.0852215
Zadornov	0.0849076
Kennard	0.084878
Liao	0.0848518
Moonves	0.0847759
Klestil	0.0847366
Surin	0.0847062
Patel	0.0845368
beamer	0.08452
Pangalos	0.0844777
Chung	0.084454
Freeh	0.0844263
Heinrichs	0.0843041
Tobin	0.0842933
Mehta	0.0841613
O'Malley	0.0841176
Feldman	0.0840523
Iliescu	0.0837049
Insulza	0.0835816
Flanagan	0.0835232
Willard	0.0834116
Fleischer	0.0833968
Komura	0.0833003
Icahn	0.0832715
Lamberth	0.0830438
Reinhardt	0.0828827
Abbas	0.082729
Kwasniewski	0.0827249
Larson	0.0826965
Bolger	0.0825828
Beilin	0.0825056
Ruthardt	0.0824852
Ingram	0.0824552
Espinosa	0.0824447
Kushner	0.0823402
Kumaratunga	0.0822639
Shalala	0.0822612
))
(Bronson (desc 2265.67) (sims
Herta	0.168733
Hickman	0.117321
Devers	0.102024
Jayasinghe	0.101873
Hahn	0.0982538
Rubenstein	0.0947325
Adkins	0.0914296
Vogel	0.0910317
Copeland	0.0899821
Zuckerman	0.0887905
COYNE	0.0883379
Tuttle	0.0871639
Marchment	0.085978
Weil	0.0856569
Jaffe	0.084979
Hardy	0.0847288
Rosenthal	0.0846037
Duvall	0.0844455
Meyers	0.083921
Arron	0.0836372
Levine	0.0835727
Mckee	0.0827698
Jeffers	0.0822932
Wolff	0.081258
Baum	0.0807081
Finkel	0.0807046
O'Connell	0.0806013
Henley	0.0801914
O'Neil	0.0790704
Hanley	0.078811
Solis	0.0785588
Berg	0.0784511
Cleary	0.0784069
"David Remnick"	0.077842
Tomlin	0.0776954
Molinari	0.0771312
McPherson	0.0760266
Healy	0.0754148
Midler	0.0747824
Jenkins	0.0747116
McNamara	0.0746588
Duffy	0.0742762
Salinger	0.0735574
Talebi	0.0734732
Sotomayor	0.0731356
Grossman	0.0725654
Scruggs	0.0724436
Lerner	0.0719324
Maynard	0.0718347
Brazile	0.0714319
Macdonald	0.0712598
Cowan	0.0711983
Silverstein	0.0709781
Fredericks	0.0704406
Pippig	0.0702979
Behr	0.0702056
Naumann	0.0700839
Simons	0.0699245
Setzer	0.0698815
Rutherford	0.0698645
Ebersol	0.0695818
"Cathy Freeman"	0.0695633
"Tom Johnson"	0.0693661
Edson	0.0692899
O'Reilly	0.0689744
Nickerson	0.0689237
burrows	0.0684762
"Mark Crear"	0.0684187
Andersen	0.0682811
Garber	0.0682534
Sheehy	0.0681451
Lowry	0.0680964
Ainge	0.0676548
Kenseth	0.0675774
Epstein	0.0672972
Cline	0.0671317
Mucha	0.0669548
Schmid	0.066746
Bushnell	0.0664586
Waxman	0.0663721
Ottey	0.0660574
Barlow	0.0660496
Sobel	0.0660124
Davidson	0.0660106
"Irina Privalova"	0.0659436
Durant	0.0657088
O'Sullivan	0.0656473
Tanui	0.0655271
McCormack	0.0654999
Weisman	0.0651191
Wiggins	0.0649521
Kahn	0.0649217
Rosenberg	0.0647962
Grimes	0.0647177
Berman	0.0645889
Slaney	0.0644738
Shapiro	0.0643829
Brenner	0.0643755
Donnelly	0.0643216
Hyman	0.0641489
Rowley	0.0638378
Gillespie	0.0638283
"Jack Valenti"	0.0637995
Meissner	0.0636148
Hecht	0.0635616
Greenwald	0.063553
Hybl	0.0635184
Guerra	0.0635019
Gibbons	0.0635002
Mullen	0.0634554
Morse	0.0634313
Dion	0.0633387
bock	0.0631142
Rivlin	0.0629246
Allchin	0.0625402
Pearson	0.0625247
Nicholson	0.0622005
Iglesias	0.0621658
Pape	0.0621029
Moran	0.0620221
Fiorina	0.06195
Sheedy	0.0616937
Orton	0.0616081
Kaye	0.061576
Pollack	0.0614312
wa	0.0612285
Ulrich	0.0611485
Gaffney	0.0611473
McKenzie	0.0610879
Franz	0.0610686
Boldon	0.0610184
Weinberg	0.0608702
craven	0.0607003
Gullikson	0.0606481
McIntyre	0.060642
Kline	0.0605787
McDonald	0.0604935
Nadler	0.0604568
Britton	0.0603405
Soto	0.0602289
Cipollini	0.0601271
McLachlan	0.0601218
Matthews	0.0601017
Wasserstein	0.060061
Smyers	0.0597918
Haynes	0.0597454
Deneuve	0.0596932
Hanna	0.0596899
Goldin	0.0595634
Hamlin	0.0595226
Mahoney	0.0594831
Goldberg	0.0594517
McGovern	0.0593636
Lessig	0.059263
Knapp	0.0592427
Cummings	0.0592318
TALBOT	0.0591967
Blackwell	0.0589888
Rowe	0.0589382
Krugman	0.0588996
Longo	0.0587374
"Earnhardt Jr."	0.0586517
Flockhart	0.058529
DeFrantz	0.0584867
Muller	0.0584641
Gregory	0.058455
Tharp	0.0584239
Sorensen	0.0583441
fuller	0.0583404
Rau	0.0582307
Bragg	0.0579887
O'Donnell	0.0579395
Daniels	0.0578735
Rosen	0.0578641
"De la Cruz"	0.0578071
Freedman	0.0577731
Appleby	0.0577435
Ferrer	0.0576353
Sibley	0.0576339
Pierson	0.0576032
Farber	0.0575801
"Ben Johnson"	0.0575598
Zito	0.057544
Kaplan	0.057278
Forrest	0.0572129
Arnold	0.0572086
Hawley	0.0571879
Friedman	0.0571803
Perec	0.0571219
Whipple	0.0570332
Dunham	0.0569903
Tilberis	0.056911
McCullough	0.0568756
Davies	0.0567937
Grunwald	0.0567916
Rollins	0.0567882
Leigh	0.0567159
Cashman	0.0566907
Huffington	0.0566108
"Chad Brown"	0.0566064
))
(Bronx (desc 6860.64) (sims
"Dutchess County"	0.145936
Brooklyn	0.136428
"Jasper County"	0.132893
"Fulton County"	0.131499
"Harris County"	0.124185
"Staten Island"	0.122171
"The Bronx"	0.119985
"Tarrant County"	0.1198
"East Los Angeles"	0.109491
"Jackson County"	0.104328
"Travis County"	0.103744
Harlem	0.0996057
"Cobb County"	0.099345
Yonkers	0.0991786
Middletown	0.0988925
"South Bronx"	0.0984791
"inner city"	0.0980498
"Suffolk County"	0.0977202
"Williamson County"	0.0923444
"Warren County"	0.092291
"Overland Park"	0.0916983
"Fayette County"	0.0914724
Rockdale	0.0902047
"DeKalb County"	0.0895465
"Long Island City"	0.0894665
"Jefferson County"	0.0891919
"North Hollywood"	0.0883414
"Bergen County"	0.0883399
Dorchester	0.0882407
"Orthodox Jewish"	0.0879222
"Newport Beach"	0.0877273
MINEOLA	0.0867044
LAKEWOOD	0.0867036
"Rockland County"	0.0861127
Manhattan	0.0859289
"South End"	0.0856916
Astoria	0.0855997
Charlestown	0.0851464
"Orange County"	0.0849622
Irvington	0.0848673
"San Diego County"	0.0848467
Barrio	0.0844214
Scottsdale	0.083981
"Washington Heights"	0.0835777
"Van Nuys"	0.0832851
"East Harlem"	0.0831909
Encino	0.0826638
queen	0.0821765
tenement	0.0817333
"Crown Heights"	0.0807921
"Albany County"	0.0807769
Westfield	0.0806835
Roxbury	0.0805924
"Great Neck"	0.0798333
Elmira	0.0797601
"New Rochelle"	0.0791577
Morristown	0.0791163
"Long Island"	0.0782673
"Essex County"	0.0780421
Flushing	0.0778742
Fulton	0.0773677
"Los Angeles County"	0.0769319
"Park Slope"	0.0760257
"Gwinnett County"	0.0760059
"East St. Louis"	0.0758521
"Westchester County"	0.075775
"Johnson County"	0.0756183
Korean-American	0.0750775
Pacoima	0.0748052
"New York City"	0.0747598
"South Boston"	0.0745864
Bensonhurst	0.0744651
"New Haven"	0.0741411
Middlesex	0.0740804
"Monmouth County"	0.0739535
riverside	0.0735958
"Hollywood Hills"	0.073564
"Rockdale County"	0.0734798
Buckhead	0.0729207
"San Fernando Valley"	0.0729204
"Fort Worth"	0.0726408
"Maricopa County"	0.0726058
"Erie County"	0.0723173
"Madison County"	0.0722879
slain	0.0722216
"Monroe County"	0.0721459
"Forest Hills"	0.0716164
Midtown	0.0715194
"Montgomery County"	0.07103
Poughkeepsie	0.0709686
Tempe	0.0709475
Greenwich	0.0708763
nonwhite	0.0708452
beachfront	0.0705135
Tribeca	0.0700444
Tucson	0.0699821
Holyoke	0.0697786
"Left Bank"	0.0694519
Framingham	0.0691487
Malden	0.0687584
"Lake Worth"	0.0686868
Wichita	0.0686677
"North End"	0.0682736
Alpharetta	0.0682465
"Hell's Kitchen"	0.0682163
Westchester	0.0682055
"Miami-Dade County"	0.0680343
"Greenwich Village"	0.0680134
Tarrytown	0.0676789
"Walnut Creek"	0.0673415
Riverdale	0.0672635
Brookline	0.0670497
"Garden City"	0.0668364
Arlington	0.0667897
"East Texas"	0.0667648
"Baton Rouge"	0.0666818
Louisiana	0.0666791
"Santa Monica"	0.0664798
Worcester	0.0664718
Jasper	0.0664161
"West Village"	0.0662739
"Dallas County"	0.0662614
Stamford	0.0662102
"Palm Beach County"	0.0661847
Queens	0.0657389
Mesa	0.0657072
"College Park"	0.0656736
"Hyde Park"	0.0654726
Pomona	0.0654348
"Woodland Hills"	0.0650451
Belfast	0.0649151
Somerville	0.0647553
Decatur	0.0646551
Hartford	0.0644332
"West Palm Beach"	0.0642945
lakefront	0.0641627
Kingston	0.0639683
"Saratoga Springs"	0.0639381
Japanese-American	0.0639157
Alabama	0.0635759
Glendale	0.0634082
Amarillo	0.0632084
Delhi	0.0630211
"Broward County"	0.0629605
Camden	0.0627831
ASHEVILLE	0.0626735
"Rocky Mount"	0.062598
"Boynton Beach"	0.0625947
Braintree	0.0625461
"Jersey City"	0.0625169
Brentwood	0.0625091
Newton	0.0625009
Stockbridge	0.0624062
Chatham	0.062269
"Cook County"	0.0622506
Greenville	0.0619083
Medford	0.0618285
"Ventura County"	0.0616571
Waterbury	0.0615957
"East Orange"	0.0613438
"Highland Park"	0.0612211
"East New York"	0.0611204
"Studio City"	0.0610871
Suffolk	0.0610523
Bridgeport	0.060972
Lakeland	0.0609415
BRIGHTON	0.0608703
"working class"	0.0606551
Wyoming	0.0605991
Chatsworth	0.060543
"Santa Clara County"	0.0605187
Tarzana	0.0603857
"Corpus Christi"	0.0603714
Arkansas	0.0600274
ATTLEBORO	0.0598715
Albany	0.0597103
Montclair	0.0597025
"Little Italy"	0.0596889
Spokane	0.0595574
Memphis	0.0593234
Utica	0.0593116
Englewood	0.0593053
Wallingford	0.0592831
Wilmington	0.059263
Maryland	0.0591396
Bedford-Stuyvesant	0.0590103
Pennsylvania	0.0589502
"Little Rock"	0.058917
Chappaqua	0.0587161
Augusta	0.0586347
"Upper East Side"	0.0584694
"White Plains"	0.0583863
Omaha	0.0583603
Mississippi	0.0582278
Virginia	0.0581059
"Nassau County"	0.0579822
Newark	0.0579537
"Dade County"	0.057934
"Sherman Oaks"	0.0578879
oceanfront	0.0575126
))
(bronze (desc 35284.9) (sims
silver	0.277924
medal	0.240718
gold	0.204096
medalist	0.121812
title	0.121499
"world record"	0.11697
freestyle	0.10329
medallist	0.0996156
third	0.09598
jade	0.0957249
crown	0.0937942
fourth	0.0921166
berth	0.0919473
Pottery	0.0904309
medley	0.0874179
breaststroke	0.0863624
porcelain	0.0849366
runner-up	0.0845651
backstroke	0.0836356
fifth	0.0820235
finisher	0.0817506
relay	0.0814261
"medal winner"	0.0793482
trophy	0.079141
ceramic	0.0784458
sixth	0.0762488
seventh	0.074865
metalwork	0.0720838
sculpture	0.0714269
championship	0.0704104
final	0.0703831
marble	0.0703209
jewelry	0.0678766
prize	0.0657743
victory	0.0653538
"world record-holder"	0.0652612
statue	0.0644088
one-two	0.0639823
stone	0.0638452
carving	0.0630204
Copper	0.0617547
painting	0.0611796
runners-up	0.060636
ware	0.0600642
Coin	0.0597502
"prize money"	0.0590812
butterfly	0.0588533
"long jump"	0.0582877
kgs	0.0581288
calligraphy	0.0574537
semifinal	0.0574379
Heptathlon	0.0568429
aluminum	0.0567879
eighth	0.0563206
overall	0.0561446
glass	0.0560397
enamel	0.0557756
qualifier	0.0552339
figurine	0.0550954
plaster	0.0550757
"Chinese Taipei"	0.0548978
lacquer	0.0547652
brass	0.054674
tile	0.0545763
ninth	0.054101
pennant	0.0535603
furniture	0.0535097
winner	0.0529745
marathon	0.052219
honour	0.0521221
"shot put"	0.0519964
finalist	0.0517758
"Purple Heart"	0.0515894
slalom	0.0513003
"stainless steel"	0.0510082
Super-G	0.0509452
metal	0.0509124
preliminary	0.0500649
wicket	0.049996
ornament	0.049904
javelin	0.0497555
granite	0.0497301
men's	0.0496124
"pommel horse"	0.0494964
"clean and jerk"	0.0494766
triumph	0.0493747
holder	0.0491322
Olympics	0.0489531
brick	0.0488866
downhill	0.0486193
doubles	0.0482417
swimmer	0.0481712
handicraft	0.0481288
wood	0.0476481
ranking	0.0475171
clocking	0.0473162
"Stanley Cup"	0.0471752
artifact	0.047047
relays	0.0467731
"oil painting"	0.0467182
hurdle	0.0463053
standing	0.0462211
object	0.0457195
birdie	0.0455484
Nickel	0.0453893
"seeded player"	0.0452211
gymnast	0.0451368
ivory	0.0448335
"service break"	0.0446907
silverware	0.0446569
"three points"	0.0445393
plaque	0.044297
steel	0.0441835
chrome	0.0441049
"Donovan Bailey"	0.04383
plastic	0.0438134
Grammys	0.0437042
"Olympic Games"	0.0436367
"five points"	0.043634
Tin	0.0435967
quarterfinal	0.0432793
record-holder	0.043272
"work of art"	0.0431452
semifinalist	0.0429631
iron	0.0429411
limestone	0.0427163
textile	0.0427141
fresco	0.0427026
"free throw"	0.0426091
"Nobel Peace Prize"	0.0425267
rug	0.0425039
antique	0.0424859
Concrete	0.0424608
"four points"	0.0423406
embroidery	0.0417717
decoration	0.0416299
gem	0.041524
statuette	0.04139
"DPR Korea"	0.0413892
"Atlanta Olympics"	0.0409853
"pole vault"	0.0409193
clay	0.0407858
platinum	0.040762
artwork	0.0406491
Pink	0.0406395
"Tony Awards"	0.0406016
par	0.0404429
"World Cups"	0.0404245
runnerup	0.0403964
"Nobel prize"	0.0403574
drawing	0.0402158
silk	0.0400447
))
("Bronze Star" (desc 2571.49) (sims
"Distinguished Flying Cross"	0.482839
"Silver Star"	0.464928
"Purple Heart"	0.315601
"Medal of Honor"	0.249149
knighthood	0.132686
commendation	0.103466
"Emmy Award"	0.0809024
"Pulitzer Prizes"	0.078919
citation	0.0773067
"Nobel Peace Prize"	0.0744313
"honorable mention"	0.0736413
"honorary degree"	0.0700178
"Pulitzer Prize"	0.0678174
plaudit	0.0626069
"Nobel prize"	0.0616141
"National Book Award"	0.0583525
"Eclipse Award"	0.053392
"tour of duty"	0.0533007
Emmy	0.0531719
Grammys	0.0521981
defoliant	0.0520559
"nearly $@.@ million"	0.0507422
"nearly $@ million"	0.049979
"almost $@@@,@@@"	0.0491289
sobriquet	0.0482676
"Cy Young Awards"	0.0481012
"Golden Globe"	0.0480017
"staff sergeant"	0.0477891
"clean slate"	0.0471401
"Tony Awards"	0.0471357
"over @@@ million US dollars"	0.0470339
"cash bonus"	0.0467504
walkover	0.0460285
Grammy	0.0459802
"combat mission"	0.0457384
Nobel	0.045611
"Emmy Awards"	0.0453011
"popularity contest"	0.044399
"Academy Award"	0.0443364
"over @@ million US dollars"	0.0442174
"seal of approval"	0.0440377
"first pole"	0.0435748
kudos	0.043551
canna	0.0430947
"more than @.@ billion dollars"	0.0424153
foxhole	0.0423825
"golden parachute"	0.042228
half-point	0.0419445
"double gold"	0.0418442
"nearly $@@@,@@@"	0.0417754
smooch	0.0407002
accolade	0.0402594
"Tony Award"	0.0400658
))
(bronzeware (desc 1398.84) (sims
earthenware	0.236241
jade	0.201564
stoneware	0.190098
Pottery	0.175244
porcelain	0.163585
lacquerware	0.135462
"wall painting"	0.128464
ceramic	0.124758
carving	0.0979341
calligraphy	0.0955957
ingot	0.0954616
stele	0.0941028
ware	0.0930294
metalwork	0.0926745
handicraft	0.088509
lacquer	0.08232
"oil painting"	0.080642
"historical document"	0.0796376
cookware	0.0779721
vas	0.077525
jawbone	0.0739722
figurine	0.0723223
embroidery	0.0701858
fresco	0.0674904
arrowhead	0.0673217
antiquity	0.0670213
ornament	0.0669457
"stained glass"	0.0667938
bric-a-brac	0.0650003
glassware	0.061799
"wedding cake"	0.0605384
tapestry	0.0604284
engraving	0.0603225
mosaic	0.0600904
utensil	0.0586572
jewellery	0.0584121
ceramics	0.05799
"Peking Opera"	0.0579299
"terra cotta"	0.0574233
"landscape painting"	0.055371
woodcut	0.0552453
"pumpkin pie"	0.0549515
driftwood	0.0546804
ephemera	0.0546209
"postage stamp"	0.0545319
dinnerware	0.0540754
wares	0.0540691
broom	0.0537102
"musical instrument"	0.0533472
"folk art"	0.0531382
kiln	0.0526412
jigsaw	0.0519632
Starfish	0.0519174
"oil lamp"	0.0517377
"sports equipment"	0.0516776
sheetrock	0.0516404
Sphinx	0.0511418
curio	0.0507412
flamethrower	0.0505824
parchment	0.0505327
contraband	0.0503666
shareware	0.0502757
"bank note"	0.0502132
twine	0.0500623
make-over	0.0499689
bisque	0.0494953
"lower jaw"	0.0492609
Banknote	0.0489953
chalice	0.0473223
SUI	0.046906
tableware	0.0467865
"precious metal"	0.0466343
kettle	0.0465382
"Empire State"	0.0459291
pendant	0.0451462
knitwear	0.0450905
"jigsaw puzzle"	0.0448099
amulet	0.0441159
eggshell	0.0440718
paperweight	0.0439026
urn	0.043898
silverware	0.0435353
"leg bone"	0.04334
shard	0.0428579
gravestone	0.0426673
moccasin	0.0423477
op-ed	0.0422518
"window frame"	0.0419617
statuary	0.0418818
sutras	0.0416819
"office furniture"	0.0409869
"legal principle"	0.0407584
Neanderthal	0.0406709
phyllo	0.0403344
))
(brooch (desc 3449.94) (sims
pendant	0.198433
cufflink	0.186317
necklace	0.185522
bracelet	0.175843
earring	0.175125
barrette	0.158745
choker	0.148949
tiara	0.136957
"engagement ring"	0.125204
headband	0.101789
amulet	0.0973503
"coffee mug"	0.096515
scarf	0.0917441
"wedding ring"	0.0886518
"feather boa"	0.0883116
"picture frame"	0.0874715
wristwatch	0.0860054
Poncho	0.0834937
jewelry	0.0791294
headdress	0.0778767
bandana	0.0773548
corduroy	0.0753798
"hot pants"	0.0750499
"pocket watch"	0.0731785
sunglasses	0.0713165
curler	0.0709358
applique	0.0708391
smock	0.0705815
medallion	0.070325
ornament	0.0696385
statuette	0.0691195
vestment	0.0691042
"nose ring"	0.0682175
gown	0.0675631
"leather jacket"	0.0670081
Bonnet	0.0668446
embroidery	0.0661011
"evening bag"	0.0658344
"tennis shoe"	0.0656531
sandal	0.0656447
bead	0.0656236
slipper	0.0652902
"stiletto heel"	0.0645589
girdle	0.0640633
shawl	0.0631052
wristband	0.0623882
Rolex	0.06191
beads	0.0618693
trinket	0.0617962
Pearl	0.0616797
sarong	0.061365
"mink coat"	0.0613042
urn	0.0608866
"sweat pants"	0.0607319
tunic	0.0604804
jewellery	0.0598596
"belt buckle"	0.0597326
"fountain pen"	0.0594026
blouse	0.0588207
tuxedo	0.0580397
headgear	0.0579976
knickers	0.0576268
quilt	0.0569556
bodice	0.056517
mitten	0.0564681
beading	0.0564212
sweatshirt	0.0563402
chandelier	0.0562846
neckline	0.0561912
Pantsuits	0.0556386
halter	0.0551928
"wedding gown"	0.0551621
lipstick	0.0550244
pantyhose	0.0548332
turban	0.0548326
"baseball cap"	0.0543373
pullover	0.0542019
"sewing machine"	0.0540435
kimono	0.0539678
dagger	0.0538674
"ball gown"	0.0538572
"evening gown"	0.0534831
"bathing suit"	0.0534188
sneaker	0.0533781
"body armor"	0.0533362
"water bottle"	0.0532968
"pants suit"	0.053258
visor	0.0532325
caftan	0.052818
bib	0.0526357
"hard hat"	0.0526264
crucifix	0.0526094
handbag	0.0523362
miniskirt	0.0520753
claimer	0.0519836
paperweight	0.0518631
pillowcase	0.0516974
stiletto	0.0514369
sweater	0.051264
candelabra	0.0512587
"tea set"	0.0502197
corset	0.0501412
emerald	0.049911
beret	0.0495666
musket	0.0490342
bodysuit	0.0489314
hairdo	0.0488791
sportswear	0.048826
vas	0.0486529
spud	0.0486456
apron	0.0486195
"polo shirt"	0.0483847
"side chair"	0.0478782
bikini	0.0478078
velvet	0.0477956
cuff	0.047633
bluejeans	0.047177
waistcoat	0.0471436
overcoat	0.0469977
"wall hanging"	0.0469183
"pinball machine"	0.0468978
"key ring"	0.0467839
cardigan	0.0464322
Goblet	0.0463549
khaki	0.0460743
moccasin	0.0460472
bandanna	0.0459417
nightgown	0.0458093
"cigarette lighter"	0.0457205
hand-me-down	0.0454539
"piece of cloth"	0.0453329
wig	0.0452673
bathrobe	0.0451153
comforter	0.0450222
teapot	0.0449651
"name tag"	0.0449338
"claiming race"	0.0449263
barrister	0.0445283
postcard	0.0443252
"cowboy boot"	0.0442632
lamp	0.0442249
goatee	0.0441145
"coffee cup"	0.0440917
"bathroom fixture"	0.0438783
bric-a-brac	0.0438477
parka	0.0437888
"cigarette butt"	0.0436445
raincoat	0.0435482
panty	0.0433758
wastebasket	0.0430368
camisole	0.0430366
"straw hat"	0.0429595
"shower stall"	0.0427243
G-string	0.0425335
"alarm clock"	0.0425273
blinder	0.042499
"cocktail dress"	0.0424396
hosiery	0.0423094
bellbottoms	0.0422029
pants	0.0421459
necktie	0.0418277
Sari	0.0417372
chaise	0.0417159
"contact lense"	0.0416716
Lei	0.0416026
figurine	0.041445
trouser	0.0413934
"fishing rod"	0.0413353
knickknacks	0.041317
underwear	0.0412749
ponytail	0.0412585
"dining table"	0.0410897
garland	0.0410442
prospector	0.0407911
tarp	0.0407878
pajamas	0.0407767
finery	0.040771
digger	0.0407043
"Star of David"	0.0406776
tablecloth	0.040659
BOA	0.040624
"bowler hat"	0.0405631
eyeglass	0.0405378
Trident	0.0404045
vase	0.0403969
bedspread	0.0403331
tampon	0.0403015
"cassette tape"	0.0400364
))
(brood (desc 3435.52) (sims
gaggle	0.0810046
guardianship	0.0735457
eldest	0.0730899
"extended family"	0.0723047
subgenre	0.0653246
oldest	0.0599783
"cast of characters"	0.0582363
septuplets	0.0564598
"eye socket"	0.0561672
"foster child"	0.0558871
raising	0.0553264
youngest	0.0529648
housemates	0.052387
menagerie	0.0518354
octuplets	0.0513109
Archaeopteryx	0.0511096
mantelpiece	0.0503567
retinue	0.0496917
"press agent"	0.0494015
offspring	0.0484252
newborn	0.0482884
derriere	0.0482418
brogue	0.0480693
gravesite	0.0480409
horde	0.0480346
"war chest"	0.0477524
"golf game"	0.0474053
"debt load"	0.0473047
"great grandmother"	0.0471318
coterie	0.0470123
feistiness	0.046757
"nest egg"	0.0459002
clan	0.0458507
entourage	0.0454908
crewmates	0.0453812
chaebols	0.0452075
schoolmate	0.0451972
"ownership stake"	0.0451915
half-dozen	0.0449838
selloffs	0.0447413
lobe	0.0447394
"Twenty percent"	0.0446132
upbringing	0.044365
"storm cloud"	0.0440888
fawn	0.0438679
cabinetmaker	0.0438382
"gold miner"	0.0435754
fibroids	0.0435702
enrolment	0.0431969
"core group"	0.0431911
spiel	0.042834
IQ	0.0427811
"little sister"	0.0425091
triplet	0.0424299
"investment portfolio"	0.0421887
"Toyota Corolla"	0.0420315
"milk cow"	0.0420255
fraternity	0.0418152
Hadassah	0.0417329
populace	0.0416427
"legal guardian"	0.0415888
screwball	0.0413976
aggregation	0.0412109
"falling off"	0.0409794
"oil slick"	0.0408087
grandchildren	0.0407467
Younger	0.0407348
tomboy	0.040379
lad	0.0403112
molestation	0.0401305
))
(brook (desc 4903.61) (sims
Seine	0.0736829
Creek	0.0709028
waterfall	0.0684677
meadow	0.0661
"brown trout"	0.0619962
Rhine	0.0610681
ravine	0.0585644
pond	0.0579243
dew	0.0573579
crag	0.0572184
"electric current"	0.055507
pasture	0.054679
birdbath	0.0538523
Tigris	0.0536298
gazebo	0.051017
rattan	0.0504798
"Jordan River"	0.0502621
"Hill Country"	0.0478497
Nada	0.0474303
"body of water"	0.0466624
woodland	0.0464225
footbridge	0.0464063
Andreas	0.0462709
steelhead	0.0460495
Marsh	0.0459
lava	0.0455804
Potomac	0.0451796
"tennis court"	0.0445031
Rubenstein	0.0443715
"Ohio River"	0.0442357
Quintero	0.0438122
"Lake Michigan"	0.0437986
"Missouri River"	0.0436008
"San Pedro"	0.04336
bog	0.0433441
"parcel of land"	0.0432287
"East River"	0.0431898
"Hudson River"	0.0429824
Euphrates	0.0428985
Titov	0.0424939
"Cape Fear"	0.0419375
hillside	0.0418102
orchard	0.0417648
Hamid	0.0414796
"Huangpu River"	0.0414795
Mackey	0.0414552
canyon	0.0413148
estuary	0.0411225
barrister	0.0409451
sapling	0.0408991
Nenjiang	0.0408126
rainbow	0.0407419
Chappell	0.0405947
cask	0.0404588
"Red River"	0.0404104
"Delaware River"	0.0401718
Galindo	0.0400764
Cove	0.0400476
))
("Brook Fordyce" (desc 1095.89) (sims
"Chris Widger"	0.254248
"Gregg Zaun"	0.249435
"Tom Lampkin"	0.22706
"Eddie Taubensee"	0.221959
"Damian Miller"	0.220962
"Bobby Estalella"	0.219707
"Brent Mayne"	0.212453
"Darrin Fletcher"	0.211757
"Tyler Houston"	0.2077
"Tony Eusebio"	0.205462
"Magglio Ordonez"	0.201207
"Kelly Stinnett"	0.199161
"CARLOS HERNANDEZ"	0.197446
"Todd Pratt"	0.196184
"Todd Walker"	0.194696
"Brad Fullmer"	0.194478
"Einar Diaz"	0.193279
"Mike Sweeney"	0.191819
"Jeff Conine"	0.191792
"Paul Bako"	0.186936
"Mitch Meluskey"	0.18675
"Matt Franco"	0.181503
"Greg Myers"	0.177726
"Jose Valentin"	0.177502
"Ron Coomer"	0.17421
"Marvin Benard"	0.173595
"Phil Nevin"	0.173444
"Scott Hatteberg"	0.173082
"Mike Lieberthal"	0.172674
"Carlos Lee"	0.171953
"Jeffrey Hammonds"	0.171584
"Bill Haselman"	0.171372
"Michael Tucker"	0.169784
"Bengie Molina"	0.168998
"Aaron Boone"	0.168356
"Jose Guillen"	0.167888
"Marquis Grissom"	0.165103
"Ray Durham"	0.16462
"Eric Owens"	0.164279
"Russ Johnson"	0.16389
"Mark Johnson"	0.163076
"Dave Martinez"	0.161882
"Jorge Fabregas"	0.16143
"Herbert Perry"	0.160946
"Deivi Cruz"	0.160319
"Eddie Perez"	0.158863
"Jon Nunnally"	0.158588
"Bubba Trammell"	0.156153
"Matt Walbeck"	0.155842
"Dmitri Young"	0.155624
"Bobby Higginson"	0.155403
"Kevin Jordan"	0.153766
"Stan Javier"	0.153394
"Kurt Abbott"	0.152501
"Craig Paquette"	0.150968
"Brad Ausmus"	0.150678
"Terrence Long"	0.150631
"Rob Ducey"	0.149082
"Henry Rodriguez"	0.148572
"Paul Konerko"	0.148096
"Frank Thomas"	0.146601
"Derrek Lee"	0.146133
"Chad Kreuter"	0.145597
"Keith Lockhart"	0.145567
"Corey Koskie"	0.145209
"Carlos Baerga"	0.14335
"Angel Pena"	0.143033
"Sandy Alomar"	0.142921
"Jose Vidro"	0.142505
"Cristian Guzman"	0.142435
"Rondell White"	0.142097
"John Vander Wal"	0.141821
"Erubiel Durazo"	0.140305
"Jason Varitek"	0.140066
Vidro	0.139984
"Paul LoDuca"	0.13995
"Wilton Guerrero"	0.139573
"David Ortiz"	0.138695
"Harold Baines"	0.138158
"Scott Spiezio"	0.13806
"Todd Greene"	0.137689
"Raul Ibanez"	0.137084
"Willie Greene"	0.137004
"Jeremy Giambi"	0.136948
"Ellis Burks"	0.13524
Rolen	0.134045
"Luis Lopez"	0.133822
"Jason Kendall"	0.133036
"Chris Gomez"	0.132759
"Lenny Harris"	0.132234
"Benny Agbayani"	0.132106
Burnitz	0.131526
"Rich Becker"	0.130876
"Matt Luke"	0.130593
"Cliff Floyd"	0.130327
"Charles Johnson"	0.129358
"Johnny Damon"	0.129241
"Frank Catalanotto"	0.12847
"Kevin Young"	0.127933
"Charlie Hayes"	0.127396
"John Mabry"	0.126815
Lieberthal	0.125656
"Tony Graffanino"	0.125448
Aurilia	0.125052
"Javy Lopez"	0.124909
"Travis Fryman"	0.124367
"John Jaha"	0.124056
"Mark Loretta"	0.123646
"Matt Stairs"	0.123458
"Preston Wilson"	0.123
"Matt Lawton"	0.122576
"Dan Wilson"	0.122086
"Jose Cruz Jr."	0.122013
"Brady Anderson"	0.121737
"Wil Cordero"	0.121479
"Lance Berkman"	0.120808
"Mark Kotsay"	0.120499
"Ben Grieve"	0.120104
"Mike Bordick"	0.119724
"Rafael Furcal"	0.119636
"Bruce Aven"	0.119019
Fullmer	0.118965
"Mickey Morandini"	0.118916
"Dante Bichette"	0.118704
"Wally Joyner"	0.118365
"Gerald Williams"	0.118332
"Miguel Tejada"	0.117935
"Bobby Abreu"	0.11782
"Joe Randa"	0.117613
"Andy Fox"	0.117457
"Danny Bautista"	0.117415
"Edgar Renteria"	0.117246
"J.D Drew"	0.116861
"Jose Hernandez"	0.116392
"Otis Nixon"	0.116221
"Manny Alexander"	0.116187
"Jim Leyritz"	0.116157
"Matt Mieske"	0.116007
"Geoff Jenkins"	0.115661
"Karim Garcia"	0.11547
"Richard Hidalgo"	0.115301
"Dave Hansen"	0.115071
"Carlos Beltran"	0.115018
"Neifi Perez"	0.115007
"Adam Kennedy"	0.114928
"Quinton McCracken"	0.114856
"Butch Huskey"	0.114661
"Jeromy Burnitz"	0.114321
"David Dellucci"	0.114316
"Jeff Huson"	0.113789
"Luis Polonia"	0.113449
Tatis	0.113429
"Trenidad Hubbard"	0.113313
"Pudge Rodriguez"	0.112965
"Robin Ventura"	0.112894
"Mike Caruso"	0.112744
"Doug Glanville"	0.112672
"Albert Belle"	0.112584
"Luis Gonzalez"	0.112037
Nevin	0.111954
Renteria	0.111847
"Luis Alicea"	0.111706
Giambi	0.111628
Lankford	0.110796
"Jeff Kent"	0.110723
"Dean Palmer"	0.11063
"Bill Spiers"	0.110532
"Brian Giles"	0.10991
"Will Clark"	0.109441
"Mike Sirotka"	0.108844
Varitek	0.108776
"Damion Easley"	0.108728
"Damian Jackson"	0.108396
"Joe McEwing"	0.108301
"Gregg Jefferies"	0.108176
"Todd Hundley"	0.107991
"Tim Bogar"	0.107957
"Eric Chavez"	0.107937
"Alex Gonzalez"	0.107495
"Mark Smith"	0.106914
"Quilvio Veras"	0.106905
Tejada	0.106593
"Brian Johnson"	0.106535
"Mike Lansing"	0.106481
"J.T Snow"	0.106445
"Glenallen Hill"	0.105829
"Rich Aurilia"	0.105728
"Ray Lankford"	0.105318
"Daryle Ward"	0.105285
"Delino DeShields"	0.105242
"Marty Cordova"	0.104852
Cirillo	0.104704
"Richie Sexson"	0.104411
McGriff	0.104382
"Mike Scioscia"	0.103921
"Bret Boone"	0.103842
"Scott Rolen"	0.103832
Ordonez	0.103448
"John Snyder"	0.102897
"Pat Burrell"	0.102819
"Brian Daubach"	0.102598
"Ruben Rivera"	0.102005
"Mike Lamb"	0.101688
"Ozzie Guillen"	0.101644
"Jorge Posada"	0.10136
Mabry	0.101235
"Pat Meares"	0.101232
Alfonzo	0.10115
"Desi Relaford"	0.101122
Bordick	0.100535
"Jeff Bagwell"	0.100495
Abreu	0.100248
"Joe Girardi"	0.100248
))
("brook trout" (desc 934.65) (sims
"brown trout"	0.152768
"rainbow trout"	0.105106
striper	0.104798
trout	0.0952617
steelhead	0.0948119
"striped bass"	0.0908109
halibut	0.0788586
tarpon	0.0779512
Ozersky	0.0778819
"wall painting"	0.0744244
"king salmon"	0.0724897
cutthroat	0.0721226
"Atlantic salmon"	0.0699689
hummingbird	0.069138
Washingtonian	0.067072
sturgeon	0.0669251
"knockout punch"	0.0663627
turbot	0.0658564
"flower garden"	0.0632575
shoplifter	0.0630871
Condor	0.0628447
"sperm whale"	0.0622949
PITTS	0.0621434
ninja	0.0616184
flack	0.0609335
bruschetta	0.0606086
walleye	0.0596239
lutz	0.0591528
"bamboo shoot"	0.0573343
Catfish	0.0560242
"fish fry"	0.0549593
sumac	0.0549461
"Gallup Poll"	0.0547194
risotto	0.0537789
encyclical	0.0535806
"market correction"	0.0534946
bluefish	0.0513896
Minnesotan	0.051365
"New Jersey State Police"	0.0512946
"peregrine falcon"	0.0511657
swordfish	0.0511159
"North Carolinian"	0.0510528
Pelican	0.0506671
Prius	0.0504912
Dokmanovic	0.050199
honeybee	0.0501503
"pinball machine"	0.0495992
Schmeichel	0.049187
rhododendron	0.0487537
"Private Ryan"	0.0484011
weevil	0.048243
porcini	0.0475941
burro	0.0470625
hardback	0.0470467
Elektra	0.0470172
arrowhead	0.0468719
bookie	0.0467774
chinook	0.0463022
"water chestnut"	0.0461649
coho	0.0461208
Londoner	0.0460518
Chilavert	0.0459357
salamander	0.0458929
Latvians	0.0457664
"nose dive"	0.0451208
"Field Poll"	0.045113
salchow	0.0448161
Campos	0.0446737
"Tom Presthus"	0.0446539
"viewing audience"	0.0445794
tableaux	0.0445272
azalea	0.0443114
Sautin	0.044118
popup	0.0440419
sockeye	0.0438903
redeye	0.0437203
"hot stock"	0.0434687
"man's body"	0.043312
"political detainee"	0.0431993
off-balance	0.0430699
"gas plant"	0.0430187
Langham	0.0428261
tenderloin	0.0428148
sunsets	0.0428134
"disk jockey"	0.0426506
morel	0.0424395
BBOX	0.0422879
mackerel	0.0422729
knuckleballer	0.042129
fescue	0.0419051
"third degree"	0.0418571
sparrow	0.0418388
"first-aid kit"	0.041826
"chicken run"	0.0417359
"Iranian POWs"	0.0417337
"Health and Welfare Ministry"	0.0416763
"sea bird"	0.0414166
redfish	0.0414072
temptress	0.041396
"news bulletin"	0.0413472
"red deer"	0.0413436
Speer	0.0413046
divot	0.0412639
GST	0.0412422
potluck	0.0410273
"cattle ranch"	0.0410089
householder	0.0408818
Tennessean	0.0408464
snakehead	0.0406674
shoemaker	0.0405971
Ukrainians	0.040389
bisque	0.040385
"wonder drug"	0.0403801
"yellow light"	0.040291
oxen	0.0402831
Vermonter	0.0402116
stone-throwers	0.0401949
"filet mignon"	0.0401689
Alomar	0.0401296
Bostonian	0.0400667
pop-up	0.0400651
"blind spot"	0.0400494
))
(Brooke (desc 3561.16) (sims
Eileen	0.148534
Kristin	0.132132
Polly	0.131061
Lynne	0.13063
Suzanne	0.120137
Olga	0.115772
Stephanie	0.113241
Kathleen	0.112138
Beverly	0.111554
alicia	0.111123
Juanita	0.110341
Kathryn	0.109548
Irina	0.107868
Edith	0.107299
Andrea	0.106363
Brenda	0.105068
Diane	0.104725
Maureen	0.104595
Michelle	0.104123
Patricia	0.103893
Jacqueline	0.10211
"Ray Evernham"	0.102086
Lydia	0.101771
Cathy	0.101663
Cindy	0.101417
Monique	0.101327
Carolyn	0.100597
Donna	0.100059
Denise	0.0993171
Valerie	0.0984278
Doris	0.0980814
Teresa	0.0978024
Evelyn	0.0973959
Lori	0.0973274
Kathy	0.0970592
Margaret	0.096645
Patti	0.0963212
Betsy	0.0959492
ANN	0.094879
Katie	0.0946069
Christine	0.0938249
Karenna	0.0936023
Cheryl	0.0932967
Laurie	0.0924548
Alexandra	0.0919176
Lisa	0.0918193
Natalie	0.091811
Sophie	0.0915094
Frances	0.0912526
Debbie	0.0907171
Barbara	0.0906624
Esther	0.0906098
Debra	0.0903725
Michele	0.0903128
Rebecca	0.0900125
Pam	0.0899887
Sheryl	0.0899552
Miriam	0.0899224
Audrey	0.0895243
Megan	0.0893016
Millie	0.0892877
Erica	0.0882581
Tracey	0.0882035
Sonia	0.0879299
Pauline	0.0878164
Sara	0.0876818
Dorothy	0.0873001
Connie	0.087175
Sarah	0.0868178
Beth	0.0866417
Lois	0.0861102
Kimberly	0.0857054
Vicki	0.0855927
Nicole	0.0850467
"Karenna Gore Schiff"	0.0849769
Stacy	0.0849478
Jamie	0.0843
Theresa	0.0840417
Ellen	0.083777
Rachel	0.0837443
Susan	0.0836988
"Azizah Ismail"	0.0834088
Marta	0.0832955
Josephine	0.0832202
Leah	0.0824032
Julia	0.0820643
Laura	0.0816774
Shirley	0.0816313
Lyn	0.0815439
Emily	0.0813711
Deborah	0.0813561
Nancy	0.0812851
Hadassah	0.0810929
Cherie	0.0810123
Erin	0.0809933
JoAnne	0.0809487
Vanessa	0.0807568
Shannon	0.0803308
Samantha	0.0801544
Julie	0.0800833
Melanie	0.0798533
Peggy	0.0796839
Elena	0.079627
Terri	0.079402
Linda	0.0793387
Anne	0.0792986
Sylvia	0.0792448
Jenny	0.0788417
Meg	0.0784462
colleen	0.0784144
Lucille	0.0783374
Dana	0.0782999
Nina	0.0781937
Helen	0.0781894
Catherine	0.0781089
anna	0.0780884
Renee	0.0780227
Amy	0.0777086
Phyllis	0.0774281
Alison	0.0767734
Jill	0.0760816
Nora	0.0760254
Annie	0.0756657
gloria	0.0754689
Camille	0.0754301
Marlene	0.0751149
Lucia	0.0750492
Jessica	0.0750363
Beatrice	0.0748458
Billie	0.0747946
Roberta	0.0737726
Claire	0.073358
Caroline	0.072722
Karen	0.0720884
Christina	0.0720829
Janet	0.0719296
becky	0.071614
Katherine	0.0715499
Liz	0.0713387
Clara	0.0711575
Olivia	0.0709254
Ashley	0.0708156
Melinda	0.0706321
Thelma	0.070316
Gail	0.0702306
Gina	0.0702175
Jennifer	0.0700139
Claudia	0.0699179
Judy	0.0698293
Marianne	0.0697344
Amanda	0.0694908
Marian	0.0693872
Danielle	0.0691597
Marie	0.0688099
Cynthia	0.0687872
"Wang Yeping"	0.0687409
Molly	0.0687265
Eleanor	0.0686805
Sasha	0.0685878
Lynn	0.0683369
Pamela	0.0679814
Janice	0.0678747
"Jane Fonda"	0.0678405
Judith	0.0676762
Jeanne	0.0671984
Carla	0.0671361
Alice	0.0671338
Robin	0.067038
Naomi	0.0669356
Elaine	0.0667474
Kay	0.0663539
Jane	0.0662666
Lauren	0.0662056
Betty	0.0660536
Autry	0.065613
Steffi	0.0653258
Meredith	0.0652859
TARA	0.0651292
Jenna	0.0649797
Martha	0.0649191
heather	0.0648587
Dolores	0.0644371
Carol	0.0643474
Marilyn	0.064111
Bridget	0.063977
Anita	0.0639465
Steven	0.063871
"Carolyn Bessette Kennedy"	0.0637159
Maria	0.0632871
Sally	0.0630922
Lucy	0.062701
Vivian	0.0622375
Heidi	0.0619079
Hannah	0.0617913
Leslie	0.0616423
Dora	0.0614535
Sandra	0.0614435
Tina	0.0612829
Kate	0.0612078
daphne	0.0611829
))
("Brooke Bennett" (desc 1117.79) (sims
"Liu Limin"	0.296075
"Elena Berezhnaya"	0.260686
"Claudia Poll"	0.255997
"Tom Dolan"	0.241212
"Chen Hua"	0.236454
"Lin Li"	0.233743
"Deborah Compagnoni"	0.227099
"Fatuma Roba"	0.224553
"Paul Tergat"	0.223116
"Penny Heyns"	0.222409
"Kieren Perkins"	0.211556
"Amy van Dyken"	0.209606
"Daniel Kowalski"	0.20782
"Alexei Urmanov"	0.207573
"Sandra Voelker"	0.199983
"Susie O'Neill"	0.199265
"Li Jiajun"	0.198869
"Chen Lu"	0.198478
"Wang Yifu"	0.195326
"Allen Johnson"	0.194858
"Svetlana Masterkova"	0.194633
"Ge Fei"	0.191352
"Fu Mingxia"	0.19059
"Denis Pankratov"	0.190375
"Xiong Ni"	0.189038
"Samantha Riley"	0.188217
"Regina Jacobs"	0.187262
"Chen Yan"	0.187018
"Thomas Stangassinger"	0.184465
"Linford Christie"	0.183458
"Charles Austin"	0.180541
"Maria Mutola"	0.178398
"Svetlana Khorkina"	0.177463
"Yu Zhuocheng"	0.175773
Popov	0.175734
Longo	0.173845
"Jeremy Wotherspoon"	0.172634
"Ian Thorpe"	0.170943
"Alexei Yagudin"	0.170412
Seizinger	0.169642
"Le Jingyi"	0.169217
"Michael Klim"	0.169018
"Inger Miller"	0.168328
"Wang Wei"	0.167194
"Deon Hemmings"	0.166519
"Irina Privalova"	0.163791
"Grant Hackett"	0.163621
"Heike Drechsler"	0.163281
"Anjelika Krylova"	0.16292
"Wu Yanyan"	0.162032
"Michael Von Gruenigen"	0.161813
Maier	0.160932
"Jenny Thompson"	0.160084
"Oksana Kazakova"	0.159627
"Rodney Eyles"	0.155213
"Moses Tanui"	0.154997
"Joko Suprianto"	0.154778
Hoogenband	0.154551
"Gary Hall"	0.154043
"Michelle Kwan"	0.153869
"Dong Jiong"	0.153821
"John Godina"	0.151488
"Ivan Pedroso"	0.15147
"Derrick Adkins"	0.150079
Ottey	0.149999
Shuwei	0.149917
"Chen Jing"	0.148411
Sautin	0.148399
"Hiroyasu Shimizu"	0.147526
"Katja Seizinger"	0.147307
Devers	0.147079
"American Pete Sampras"	0.146808
"Pavel Tonkov"	0.14621
"Ye Zhaoying"	0.146199
"Lasse Kjus"	0.146144
"Jearl Miles-Clark"	0.145774
"Jean-Philippe Gatien"	0.145444
"Hermann Maier"	0.144947
Doohan	0.144753
Wiberg	0.14468
"Chris Boardman"	0.144564
Karpov	0.144287
"Claudia Pechstein"	0.143766
"Gail Devers"	0.143665
"Deng Yaping"	0.141735
"Wang Chunlu"	0.141466
"Mia Audina"	0.140604
"Tommi Makinen"	0.140186
"Daniel Komen"	0.138235
Aamodt	0.137742
"Donovan Bailey"	0.137216
"Noureddine Morceli"	0.137093
"Randy Barnes"	0.136996
"Heryanto Arbi"	0.136601
"Johan Museeuw"	0.136575
"Bjarte Engen Vik"	0.136267
"Jansher Khan"	0.135251
"Bjarne Riis"	0.133294
"Rainer Schuttler"	0.133237
Boldon	0.132018
"Fiona May"	0.131985
"Michelle Smith"	0.131649
"Taufik Hidayat"	0.13146
"Jan-Ove Waldner"	0.130858
"Ato Boldon"	0.130041
"Kong Linghui"	0.128555
"Wilson Kipketer"	0.128429
Roba	0.128324
"Gabriela Szabo"	0.127885
"MIka Hakkinen"	0.127312
"Renate Goetschl"	0.127049
Goetschl	0.126986
"Koji Ito"	0.126871
"Dan O'Brien"	0.126384
Godina	0.126023
"Billy Boat"	0.125359
"Abraham Olano"	0.125035
"Tegla Loroupe"	0.12502
Meissnitzer	0.124604
Gebrselassie	0.124408
"Blaine Wilson"	0.123995
"Maria Butyrskaya"	0.123833
"Gong Ruina"	0.123745
"Elvis Stojko"	0.123732
"Li Xuemei"	0.123308
Tomba	0.122845
Susanti	0.122839
"Yang Yang"	0.122585
"Frankie Fredericks"	0.122574
Fredericks	0.12249
"Lenny Krayzelburg"	0.122418
"Gary Hall Jr."	0.122246
"Dara Torres"	0.121671
"Susi Susanti"	0.121651
"Alexei Nemov"	0.121542
"David Reid"	0.121229
"Jennifer Capriati"	0.120999
"Ricky Subagja"	0.120631
"Mark Crear"	0.120174
"Liu Yong"	0.120118
"Gunda Niemann-Stirnemann"	0.119999
"Michael Doohan"	0.11994
"Alexander Popov"	0.119939
"Marie-Jose Perec"	0.119497
"Rexy Mainaky"	0.119476
"Juha Kankkunen"	0.119337
"Gong Zhichao"	0.119051
"Merlene Ottey"	0.118671
"Khalid Khannouchi"	0.117838
Butyrskaya	0.117226
"Tara Lipinski"	0.117073
"Liu Xuan"	0.116842
"Jorgen Persson"	0.11653
"Amy Frazier"	0.116499
Khorkina	0.116402
Ertl	0.116243
"Damon Hill"	0.115796
"Vanessa Atler"	0.115383
Kjus	0.115203
"Simona Amanar"	0.11507
"Peter Nicol"	0.114527
kayaker	0.114478
"Ivan Ivankov"	0.114464
"Hilde Gerg"	0.114237
Jayasinghe	0.114225
"Pernilla Wiberg"	0.11353
"Peter Rasmussen"	0.113438
Rosset	0.113426
"Anatoly Karpov"	0.113198
"Cathy Freeman"	0.113145
"Mary Slaney"	0.112416
Yagudin	0.11216
"Carl Lewis"	0.111898
"Stacy Dragila"	0.111516
"Oksana Baiul"	0.111313
"Jubilo Iwata"	0.111151
"Frank Bruno"	0.111125
"Peter Gade Christensen"	0.110873
"Felix Savon"	0.11082
"Anita Wachter"	0.110755
"Picabo Street"	0.110358
"Maurice Greene"	0.109827
"Colin McRae"	0.109241
"Laurent Brochard"	0.107731
Klim	0.107716
"Li Ju"	0.107243
"Bayi Rockets"	0.106334
Krayzelburg	0.106145
"Miguel Indurain"	0.106007
"Shannon Miller"	0.105074
Sanchez-Vicario	0.10503
"Scott Pruett"	0.104998
"Colin Jackson"	0.104487
"Martina Moravcova"	0.104389
"Magdalena Maleeva"	0.104136
"Juli Inkster"	0.103906
"Wang Tao"	0.103869
Heyns	0.103795
"Matt Kuchar"	0.103757
"Marc Rosset"	0.103238
Hakkinen	0.102973
"Marina Anissina"	0.102884
Villeneuve	0.102803
"Cheah Soon Kit"	0.102726
Kwan	0.102072
"Katarina Witt"	0.10179
"Max Biaggi"	0.101357
"Irina Slutskaya"	0.101129
"Sonia O'Sullivan"	0.101041
"Tom Steels"	0.100514
Bayi	0.100113
))
("Brooke Shields" (desc 2223.69) (sims
"Annette Bening"	0.121256
"Lauren Bacall"	0.121227
"Catherine Deneuve"	0.120771
"Janet McTeer"	0.108411
"Jane Fonda"	0.104101
"Kathy Bates"	0.0994886
"Geena Davis"	0.0981763
"Vanessa Redgrave"	0.092826
"Melanie Griffith"	0.0916571
"Carmen Electra"	0.0897498
"Penelope Cruz"	0.088933
"Jodie Foster"	0.0859409
"Claire Danes"	0.085794
"Pierce Brosnan"	0.0850885
"Glenn Close"	0.0844436
"Uma Thurman"	0.0839045
"Natasha Richardson"	0.0836062
"Robert Downey Jr."	0.082145
"Richard Gere"	0.0803782
"Jason Alexander"	0.079785
"Jennifer Love Hewitt"	0.0796976
"Anne Heche"	0.0795737
"Elizabeth Taylor"	0.079537
"Halle Berry"	0.0791206
"Kim Basinger"	0.078866
"Catherine Keener"	0.0773721
"Kirk Douglas"	0.0772697
"Humphrey Bogart"	0.0749151
"Salma Hayek"	0.0748622
"Jennifer Aniston"	0.0738588
"Cameron Diaz"	0.0735828
"Calista Flockhart"	0.0733567
"Reese Witherspoon"	0.0732121
"Frances McDormand"	0.0730137
"Sophia Loren"	0.0730043
"Kirsten Dunst"	0.0727473
"Susan Sarandon"	0.072032
"David Spade"	0.0715786
"Michelle Pfeiffer"	0.0714589
"Marlene Dietrich"	0.0710115
"Meryl Streep"	0.0707557
"Celine Dion"	0.0705848
"Drew Barrymore"	0.0698646
"Angela Bassett"	0.0696749
"Jimmy Stewart"	0.0693746
"Minnie Driver"	0.0686951
"Cate Blanchett"	0.068446
"Bette Davis"	0.0672606
"Mia Farrow"	0.0669818
"Faye Dunaway"	0.0669034
"Claudia Schiffer"	0.0667472
"Emily Watson"	0.0665054
"Ashley Judd"	0.0663911
"Danny Glover"	0.066347
"Christian Slater"	0.0662257
"Gregory Peck"	0.0661738
"Andie MacDowell"	0.0649678
"James Woods"	0.0647815
"Hilary Swank"	0.064499
"Meg Ryan"	0.0643769
"Spencer Tracy"	0.0635941
"Julia Roberts"	0.0630032
"Marilyn Monroe"	0.062684
"Sigourney Weaver"	0.0626281
"Burt Lancaster"	0.0623451
"Ben Stiller"	0.0618027
"Vanessa Williams"	0.0617733
"Harvey Keitel"	0.0613107
"Edward Norton"	0.0611615
"Gene Hackman"	0.0610987
"Tim Allen"	0.0609146
"Sharon Stone"	0.0603738
"Cybill Shepherd"	0.0598923
"Alec Baldwin"	0.0598755
"Burt Reynolds"	0.0597998
"David Arquette"	0.0594146
"Whitney Houston"	0.0593754
"William H. Macy"	0.059116
"Helen Hunt"	0.0586643
"Jeff Bridges"	0.0583726
"Dennis Quaid"	0.0577665
"Matthew Perry"	0.0575187
"Eddie Murphy"	0.0575058
"Marlon Brando"	0.0575029
"Brigitte Bardot"	0.0571468
"Sean Penn"	0.0570407
"Ingrid Bergman"	0.0568735
"Richard Dreyfuss"	0.0560204
"Leelee Sobieski"	0.0555959
"Lana Turner"	0.055593
"Alicia Silverstone"	0.0554665
"Gwyneth Paltrow"	0.0554309
"Leonardo DiCaprio"	0.0552314
"Camryn Manheim"	0.055113
"Jack Lemmon"	0.0550468
"Ian Holm"	0.0550046
"Sylvester Stallone"	0.0547384
"Wesley Snipes"	0.0542818
"Stephen Rea"	0.0542558
"Richard Burton"	0.0536129
"Jennifer Lopez"	0.0534679
GERE	0.0529169
"Janeane Garofalo"	0.0528004
"Whoopi Goldberg"	0.0527497
celebs	0.052292
"Sela Ward"	0.0522803
"Barbra Streisand"	0.0522079
"Henry Fonda"	0.0521868
"Cary Grant"	0.0521615
"Heather Graham"	0.0519325
"Harrison Ford"	0.0519207
"Mike Myers"	0.0518136
"Samuel L. Jackson"	0.0518033
"Bette Midler"	0.0516393
"Liv Tyler"	0.0516391
"Cindy Crawford"	0.0513788
"Winona Ryder"	0.0512879
"Rupert Everett"	0.0512539
"Ethan Hawke"	0.0512102
"Clint Eastwood"	0.0511095
"Dan Aykroyd"	0.0505905
"Ally Sheedy"	0.0505598
RuPaul	0.0502678
"Ryan Phillippe"	0.0501194
"Joan Rivers"	0.0499379
"Sidney Poitier"	0.049068
Plath	0.0489813
Deneuve	0.0489241
Nathaniel	0.0488684
Costner	0.0488128
"Bill Cosby"	0.0487794
"Robert DeNiro"	0.0487664
"Johnny Depp"	0.0486111
Bening	0.0485883
"Tobey Maguire"	0.048449
"Famke Janssen"	0.0484297
"Robert de Niro"	0.0482444
"James Earl Jones"	0.0481412
"Rob Lowe"	0.0480504
"Martin Lawrence"	0.0476512
"Nathan Lane"	0.0475368
"Tracey Ullman"	0.0474799
"Gillian Anderson"	0.0474621
"Janet Leigh"	0.0474409
"Chow Yun-Fat"	0.0472877
"Dustin Hoffman"	0.0472703
"Holly Hunter"	0.0471419
"Tim Robbins"	0.0471262
"Keanu Reeves"	0.04704
"Julie Andrews"	0.0467256
"Ellen DeGeneres"	0.0467003
"Lily Tomlin"	0.0466299
"Greta Garbo"	0.0465356
"Diana Ross"	0.046526
"Danny DeVito"	0.0464623
"Vivien Leigh"	0.0464239
"Audrey Hepburn"	0.0463744
"Robert Duvall"	0.0463725
Roseanne	0.0462042
"Geoffrey Rush"	0.0461825
"Michael Douglas"	0.0458506
"Bruce Willis"	0.0458379
"Christopher Reeve"	0.0455026
"Garry Shandling"	0.0454292
"James Cagney"	0.045343
"Boyz II Men"	0.0452665
Gooding	0.0451231
"Adam Sandler"	0.0450561
Braugher	0.0450502
"Brad Pitt"	0.0450361
"Nicole Kidman"	0.0448131
"Arnold Schwarzenegger"	0.044559
Ciampi	0.0445217
Broderick	0.0445065
"Drew Carey"	0.0444624
Sergei	0.044168
Arquette	0.0439623
"Kevin Bacon"	0.0439551
"Janet Jackson"	0.0437075
"Kate Winslet"	0.0436739
Ashley	0.0435575
"Tom Selleck"	0.0434972
"Joan Allen"	0.0434413
"Nick Nolte"	0.0432899
"Diane Keaton"	0.0432683
"Norm MacDonald"	0.0432494
"Ava Gardner"	0.0432251
"Bill Pullman"	0.0429354
Wesson	0.0428958
"Kenneth Branagh"	0.0425235
"Carol Burnett"	0.042435
"Lucille Ball"	0.0422534
"Taye Diggs"	0.0421293
Flockhart	0.0420688
"Jessica Lange"	0.041957
Charley	0.0419127
"Don Cheadle"	0.0417883
"Rene Russo"	0.0417819
"Ted Danson"	0.0417174
"James Van Der Beek"	0.0417134
))
(Brookhaven (desc 2157.87) (sims
CERN	0.18753
Fermilab	0.135259
Hempstead	0.105371
Hattiesburg	0.0988181
"East Hampton"	0.0834288
NCI	0.0816215
"Johns Hopkins"	0.0800199
"Bell Labs"	0.0788447
"Cornell University"	0.0774007
nuclear-weapons	0.0768553
"California Institute of Technology"	0.0761776
"Great Neck"	0.0737663
Dana-Farber	0.0731513
UCSF	0.0722613
"Los Alamos"	0.0714212
"University of Hawaii"	0.0705558
"University of Pennsylvania"	0.0681939
Pelham	0.0678431
CalTech	0.067
Farmington	0.0660331
bethel	0.0650489
"Dana-Farber Cancer Institute"	0.0649307
Livermore	0.0648149
Bridgehampton	0.0642762
JPL	0.0636247
NIH	0.0626184
"Lawrence Livermore"	0.0625008
Biloxi	0.0624056
Chappaqua	0.0613604
Bedford	0.0611265
Genentech	0.0601232
Chester	0.0600392
BRIGHTON	0.0600311
"Urban Institute"	0.0596549
Babylon	0.0591017
"University of Toronto"	0.0589913
"Purdue University"	0.058907
Skaneateles	0.0588126
"RAND Corp."	0.058701
MIT	0.0586255
"Michigan State University"	0.0584919
Chatham	0.058032
Cornell	0.0574442
"Duke University"	0.0573851
Sandia	0.0571473
"National Cancer Institute"	0.0566264
Riverhead	0.0555583
"Ohio State University"	0.0551698
MINEOLA	0.0548213
"Zoo Atlanta"	0.0545532
"Emory University"	0.0545437
Kalemie	0.0544217
Poughkeepsie	0.0543836
"Massachusetts General Hospital"	0.0542185
SETI	0.0539621
"University of Michigan"	0.0537533
"Woods Hole"	0.0535812
Kismaio	0.0532515
Oneida	0.0529715
"New Braunfels"	0.0528086
"Harvard University"	0.0524304
"University of Wisconsin"	0.0522725
"Rutgers University"	0.0519768
Wilton	0.0515422
Brewster	0.051494
"West Point"	0.0514932
Tarrytown	0.051403
Beersheba	0.0512093
"University of Kentucky"	0.0509379
"Los Alamos National Laboratory"	0.050526
Dundalk	0.0504796
"Stony Brook"	0.0501587
Elmira	0.0498494
"University of Pittsburgh"	0.0497155
"germ warfare"	0.0496976
Paphos	0.0495622
Eschede	0.049561
Cumberland	0.0494085
"Harvard Medical School"	0.049148
"University of Chicago"	0.0489345
McCarron	0.0488566
Khost	0.0487726
Karbala	0.0486936
"University of Arizona"	0.0485487
Chinese-American	0.0485348
Carrollton	0.0484721
MGH	0.0484071
Huntington	0.048341
Bushehr	0.0482903
"North Carolina State University"	0.0482666
Binghamton	0.0482617
"Monroe County"	0.0482261
"New Rochelle"	0.0480203
Wallingford	0.0480105
Dubrovnik	0.047835
Golcuk	0.0478292
Hastings	0.0477436
Decani	0.0475802
Carlisle	0.0475662
"University of Rochester"	0.0474073
"particle physics"	0.0473894
"National Marine Fisheries Service"	0.0473725
Greenwood	0.0473356
"Stanford University"	0.0473336
"Iowa State University"	0.0473152
Latham	0.0471763
Rafah	0.0471256
"Oxford University"	0.0470857
"Mount Pleasant"	0.0468432
Forrester	0.0467367
Lhokseumawe	0.046598
Leskovac	0.046587
Geron	0.0463581
Oxnard	0.0463549
Easton	0.0463527
"Rockefeller University"	0.0463208
Makeni	0.046211
"San Angelo"	0.0457053
Irvington	0.0455462
"Garden City"	0.0454934
Corning	0.0451417
Ife	0.0451411
Parc	0.0451277
"U.S. Geological Survey"	0.0451038
Riverdale	0.0450764
Jericho	0.0450538
Yorktown	0.0449212
"Cambridge University"	0.0447117
"White Plains"	0.0446589
"Colorado State University"	0.0446563
"Princeton University"	0.0443532
Catskill	0.0442119
CDC	0.0441907
Limassol	0.0439108
Norwich	0.0436838
Jenin	0.0435629
"SIERRA BLANCA"	0.0435251
"University of Illinois"	0.0434804
"U.S. government"	0.0432558
Shali	0.0432523
DeKalb	0.0430829
Nazareth	0.0430622
"National Institutes of Health"	0.0429109
UC	0.0428618
"Grand Junction"	0.0427766
Utica	0.0423016
Atambua	0.0422045
"Fordham University"	0.0421469
"Johns Hopkins University"	0.0421216
Mayberry	0.0421108
Jamestown	0.0421083
Warwick	0.0418027
"Health Department"	0.0417921
Vedeno	0.0417241
"Boston University"	0.0417236
Cacak	0.0417183
Kailahun	0.041638
Englewood	0.0416072
Woburn	0.0414332
"Dutchess County"	0.0412684
UNC	0.0412158
Emory	0.0411808
Ashkelon	0.0411439
oceanside	0.0409702
Bu	0.0408428
"Beth Israel Deaconess Medical Center"	0.0408036
"New Haven"	0.0406921
Valhalla	0.0406629
"Forest Hills"	0.0406199
"Nassau County"	0.0405885
Taba	0.0405126
"Westchester County"	0.0405026
"Three Mile"	0.040333
"University of Iowa"	0.0400646
))
("Brookings Institution" (desc 5214.99) (sims
"American Enterprise Institute"	0.385078
"Cato Institute"	0.378047
"Heritage Foundation"	0.373081
"Urban Institute"	0.328902
"Center for Strategic"	0.326791
"RAND Corp."	0.311726
"Council on Foreign Relations"	0.25275
"Carnegie Endowment"	0.226336
"Center on Budget"	0.214074
"Electronic Privacy Information Center"	0.184474
"Chinese Academy of Social Sciences"	0.178397
"Violence Policy Center"	0.161218
"Natural Resources Defense Council"	0.159464
"Center for Responsive Politics"	0.156636
"Family Research Council"	0.152972
"Center for Democracy"	0.149081
"think tank"	0.138542
"Union of Concerned Scientists"	0.137189
"Congressional Research Service"	0.133186
"NationsBanc Montgomery Securities"	0.132927
"CS First Boston"	0.127095
"Consumers Union"	0.126551
"Freedom Forum"	0.124726
"Conference Board"	0.123414
"Johns Hopkins University"	0.121224
"Human Rights Campaign"	0.120838
"Prudential Securities"	0.117891
"Development Research Center"	0.116674
"Chinese Academy of Sciences"	0.115734
"George Washington University"	0.114377
"Pew Research Center"	0.113251
"Kennedy School of Government"	0.110776
Dataquest	0.109493
DRI	0.109093
"Families USA"	0.105736
"Human Rights Watch"	0.10435
"ING Barings"	0.104323
"Gartner Group"	0.101725
"Georgetown University"	0.101372
"Democratic Leadership Council"	0.101193
Commerzbank	0.100988
"BancBoston Robertson Stephens"	0.100501
"Credit Suisse First Boston"	0.099214
"Donaldson, Lufkin &AMP; Jenrette"	0.0985153
"Goldman Sachs &AMP; Co."	0.0981851
"Harvard School of Public Health"	0.0980602
"Vanderbilt University"	0.0972768
"Yankee Group"	0.0966245
"Yale Law School"	0.0964798
"Smith College"	0.0958754
"London School of Economics"	0.0954202
"Stanford University"	0.093912
"Public Citizen"	0.0915424
"Oxford University"	0.0908506
"Warburg Dillon Read"	0.0895167
"Iowa State University"	0.0890464
"University of Chicago"	0.0885538
"National Academy of Sciences"	0.0882994
"Chinese Academy of Engineering"	0.0877658
"Common Cause"	0.0869387
"International Rescue Committee"	0.0853298
CASS	0.0842877
"Peking University"	0.0839652
PaineWebber	0.0829331
"Columbia University"	0.0825865
"American University"	0.0823813
"Harvard University"	0.0818907
AARP	0.0818498
"Lehman Brothers"	0.0816009
"Forrester Research"	0.0809659
"Kaiser Family Foundation"	0.080231
"Jupiter Communications"	0.0789382
"Edward Jones"	0.0786771
"Harvard Law School"	0.0782184
"Goldman, Sachs &AMP; Co."	0.0781033
IDC	0.0761093
"Republican Leadership Council"	0.076107
"Johns Hopkins"	0.0753983
"Federal Reserve Bank of New York"	0.074584
"University of Pittsburgh"	0.0745704
"Gomez Advisors"	0.0744049
"Paine Webber"	0.0742299
"Ohio State University"	0.0741224
"Massachusetts Institute of Technology"	0.0735715
"Princeton University"	0.0735082
"Merrill Lynch &AMP; Co."	0.07332
"Investors Service"	0.0725541
"National Research Council"	0.072381
"University of Virginia"	0.0723148
"Brown University"	0.0722225
Forrester	0.0720865
"University of Toronto"	0.0720546
CAS	0.0714722
"Hambrecht &AMP; Quist"	0.0712977
"Goldman Sachs"	0.0709335
"Salomon Smith Barney"	0.0703249
OECD	0.0700906
"New York University"	0.0698925
"Auburn University"	0.06908
"Smithsonian Institution"	0.0689901
"Anti-Defamation League"	0.0689756
"Michigan State University"	0.0688572
"Department of Education"	0.0683449
"Institute of Medicine"	0.067703
"Purdue University"	0.0676362
"North Carolina State University"	0.0675199
"International Data Corp."	0.0672283
"ABN AMRO"	0.0672031
"University of Maryland"	0.0671147
"Wesleyan University"	0.067051
Oxfam	0.0665768
"Rockefeller University"	0.0662384
"American Jewish Committee"	0.0662121
"Congressional Budget Office"	0.0661903
"Bear Stearns"	0.0658717
"Colorado State University"	0.0655671
"Harvard Medical School"	0.0652256
"University of California"	0.0648713
"Morgan Stanley Dean Witter"	0.0647799
"Beijing University"	0.0647535
"League of Conservation Voters"	0.0646053
"Fudan University"	0.0644892
"National Institutes of Health"	0.0644507
"National Conference"	0.0643897
"Transparency International"	0.0637223
"General Accounting Office"	0.063511
"Robertson Stephens"	0.0634784
"National Council of Churches"	0.0634723
"Cornell University"	0.063448
"University of Michigan"	0.0634106
"Commission on Presidential Debates"	0.0633973
"Emory University"	0.0633313
"Log Cabin Republicans"	0.0633193
"Brandeis University"	0.0633128
"National Association of Manufacturers"	0.0631599
"Bureau of Labor Statistics"	0.0628238
"Salomon Brothers"	0.0627535
"Boston University"	0.0626316
"Cambridge University"	0.0624311
"American Petroleum Institute"	0.0618686
"University of Wisconsin"	0.0615918
"National Council of La Raza"	0.0615481
"State Administration of Internal Trade"	0.061387
"U.S. Chamber of Commerce"	0.0611228
"University of Hong Kong"	0.0608306
"Carnegie Mellon University"	0.0607884
"Cuban American National Foundation"	0.0604854
"University of Tennessee"	0.0603853
"Rutgers University"	0.06014
"Kennedy School"	0.0600683
"Deutsche Bank"	0.0599421
"Environmental Defense Fund"	0.0598795
"American Civil Liberties Union"	0.0598404
SSB	0.0597378
"Merrill Lynch"	0.0597268
"National Marine Fisheries Service"	0.0596044
"University of Rochester"	0.0592187
Morningstar	0.0591944
"National Transportation Safety Board"	0.059161
"Florida International University"	0.0591007
CBO	0.0588659
"University of Florida"	0.0585976
"Asia Society"	0.058424
Banc	0.0583561
"University of New Mexico"	0.0583343
"Nankai University"	0.0583207
UNAIDS	0.0579897
PricewaterhouseCoopers	0.0577453
"Handgun Control"	0.0576498
"San Francisco State University"	0.057608
"consulting firm"	0.0575599
AFL-CIO	0.0574211
"All-China Journalists Association"	0.0569148
"Wine Institute"	0.0564286
"Washington State University"	0.0562498
"National Cancer Institute"	0.0560139
"California Institute of Technology"	0.0556619
"National Geographic Society"	0.0556249
"Handgun Control Inc."	0.0553032
"University of South Carolina"	0.0551312
"Department of Agriculture"	0.055023
"University of New Hampshire"	0.0548062
"Organization of American States"	0.0547035
"Carter Center"	0.0543886
"Pennsylvania State University"	0.0543073
"J.P. Morgan"	0.0538603
"Louisiana State University"	0.0537828
"Mayo Clinic"	0.0536794
"Morgan Stanley"	0.0534429
"Consumer Federation"	0.0533861
"University of Zimbabwe"	0.0533201
"Cleveland Clinic"	0.0532716
"Kaiser Permanente"	0.0530527
"Treasury Department"	0.0528992
"National Abortion and Reproductive Rights Action League"	0.0528581
"Sierra Club"	0.0526791
"National Press Club"	0.0525839
"Howard University"	0.0521314
"University of Colorado"	0.0519555
"Hunter College"	0.0516594
))
(Brookline (desc 8770.71) (sims
Waltham	0.155737
Framingham	0.150521
Cambridge	0.150489
Somerville	0.141898
Braintree	0.133149
Reseda	0.132941
Northampton	0.131592
Brockton	0.131483
Montclair	0.12823
Westfield	0.12676
Newton	0.123448
Wellesley	0.122871
Medford	0.122517
Amherst	0.119227
Greenwich	0.118795
Needham	0.114518
Stockbridge	0.11372
"New Haven"	0.113352
"West Palm Beach"	0.112424
Worcester	0.111685
"New Bedford"	0.111012
Lexington	0.110562
Concord	0.10925
"East Hampton"	0.1068
Winchester	0.106682
Wilmington	0.106389
Chappaqua	0.105445
"Palo Alto"	0.104831
ATTLEBORO	0.102978
"Mill Valley"	0.102738
"Woodland Hills"	0.102265
Alpharetta	0.101899
Englewood	0.101132
Quincy	0.10101
"New Rochelle"	0.100076
Stamford	0.0998055
Springfield	0.0994216
Holyoke	0.0988668
LAKEWOOD	0.0985638
Arlington	0.0981246
Rockville	0.0980566
Woburn	0.0952836
Encino	0.0952403
Provincetown	0.0948697
Charlestown	0.0948353
Malden	0.0942101
Watertown	0.0938693
Pittsfield	0.0921003
Greenville	0.092048
Tarzana	0.0915324
Middletown	0.0913009
"Westchester County"	0.0912724
Portsmouth	0.0911376
BRIGHTON	0.0904878
Sausalito	0.090223
Tempe	0.0899497
Lenox	0.0896122
Hempstead	0.0894988
Falmouth	0.0892041
Salem	0.0890314
"Thousand Oaks"	0.0888739
"Overland Park"	0.0883069
"Newport Beach"	0.0872881
Dorchester	0.0872786
Chatham	0.0866184
"Fall River"	0.0864819
Gloucester	0.0864792
"Santa Monica"	0.086449
Bedford	0.0863857
"East Rutherford"	0.0862343
Morristown	0.0862261
Berkeley	0.0859141
Providence	0.0858714
Burlington	0.0857424
Port-au-Prince	0.0845307
"Simi Valley"	0.0840737
"Walnut Creek"	0.0840731
"Studio City"	0.0839493
"Manhattan Beach"	0.0838787
bethel	0.0834107
Ridgewood	0.0833701
Bridgehampton	0.0832956
Winthrop	0.0829554
Easton	0.0827466
Dover	0.0826775
Westport	0.0824582
canton	0.0823508
"Hollywood Hills"	0.0823104
Roxbury	0.082001
Scottsdale	0.081674
UNDATED	0.0806776
"Palm Beach Gardens"	0.0803425
"Baton Rouge"	0.0801501
Lawrenceville	0.0801259
ASHEVILLE	0.0801128
"Delray Beach"	0.0799086
Memphis	0.0797187
"Paradise Valley"	0.0796851
Uniondale	0.0791207
Alexandria	0.0787523
Glendale	0.0781587
Birmingham	0.0781091
Hartford	0.0780535
"Stone Mountain"	0.0778922
"Silver Spring"	0.0775938
Scarsdale	0.0775844
"Van Nuys"	0.0774543
"Fort Worth"	0.0773974
"Lake Worth"	0.0773324
"Boca Raton"	0.0773113
Milton	0.0771635
TRENTON	0.077114
"North Hollywood"	0.0770282
Fairfield	0.0768635
Pasadena	0.076816
Hattiesburg	0.0766631
Newark	0.0757378
"Cherry Hill"	0.0757159
Spokane	0.0756453
Norwood	0.0754912
Plano	0.0754471
Chatsworth	0.0752459
Pelham	0.0751595
Minneapolis	0.0751444
Augusta	0.0746946
"San Francisco"	0.0746251
Williamstown	0.0745486
Riverdale	0.0744055
"Fort Lauderdale"	0.0743657
Albany	0.0743324
"Miami Beach"	0.0742603
"East Los Angeles"	0.0741367
Gainesville	0.0739773
Hyannis	0.0732798
"Palm Beach"	0.0731543
Foxboro	0.0731234
"Palm Springs"	0.0731044
Rochester	0.0730633
"Sherman Oaks"	0.0727323
Foxborough	0.0724658
Bridgewater	0.0724225
Andover	0.07237
Deerfield	0.0719209
Marlborough	0.0718243
Bethesda	0.0717318
"Sandy Springs"	0.0716272
Dayton	0.071409
Mansfield	0.0709885
"Granada Hills"	0.0709476
"Cobb County"	0.0706912
Milwaukee	0.0706597
Austin	0.0701863
Tampa	0.0700851
Brooklyn	0.0700744
Princeton	0.0700715
"San Fernando Valley"	0.0700418
Duluth	0.0700386
Bellevue	0.0699232
"East Orange"	0.0696877
Baltimore	0.0696811
"South Bend"	0.0695973
Littleton	0.0695739
Lubbock	0.0691389
Weston	0.0687745
Orlando	0.0686803
Phoenix	0.0686561
"Des Moines"	0.0686137
Plymouth	0.0685318
"Highland Park"	0.0682883
"New York City"	0.068249
Nashua	0.0679504
Laramie	0.0678185
Marietta	0.0676195
Evanston	0.0675472
Williamsport	0.067544
Newport	0.0674947
Poughkeepsie	0.0674521
MINEOLA	0.0674163
Richmond	0.0674017
Bensonhurst	0.0672684
"Pebble Beach"	0.0672247
Walpole	0.0672097
Bangor	0.0671041
Tulsa	0.0670505
Bronx	0.0670497
Elmira	0.0669581
"Union City"	0.0666559
Fresno	0.0666268
"White Plains"	0.0666201
Jamestown	0.0665801
Madison	0.0665574
"San Diego"	0.0663659
"Santa Barbara"	0.0663628
"Saratoga Springs"	0.0661542
Manchester	0.0661037
"Oklahoma City"	0.065923
Shawnee	0.0656675
Norwalk	0.0655284
"St. Petersburg"	0.0653823
Oxford	0.0650087
))
(Brooklyn (desc 52853.6) (sims
"The Bronx"	0.218567
Manhattan	0.188519
Harlem	0.162632
"New York City"	0.15101
"Staten Island"	0.142467
Bronx	0.136428
queen	0.135116
"South Bronx"	0.131328
"New Jersey"	0.127572
"Westchester County"	0.123396
Newark	0.122138
"San Francisco"	0.121837
"Los Angeles"	0.120549
"New York"	0.118651
Albany	0.118626
"Fort Worth"	0.117004
"Long Island"	0.115079
Rochester	0.11469
Philadelphia	0.114013
"Jersey City"	0.113632
Houston	0.112254
Tampa	0.112111
Austin	0.111191
Chicago	0.11111
"Kansas City"	0.110498
Miami	0.109656
"White Plains"	0.10798
Westchester	0.106896
Yonkers	0.106885
Boston	0.106452
Baltimore	0.106437
Astoria	0.106132
"Park Slope"	0.105846
"East Harlem"	0.105837
Richmond	0.105515
"Baton Rouge"	0.10513
"New Orleans"	0.104954
"Greenwich Village"	0.103913
"Washington Heights"	0.103387
"San Antonio"	0.10261
Phoenix	0.102419
"New Haven"	0.101462
Memphis	0.101365
"Little Rock"	0.10108
"Suffolk County"	0.101058
Massachusetts	0.100839
Minneapolis	0.0999998
Arkansas	0.0995545
Virginia	0.0990097
"Orange County"	0.0986582
California	0.0985316
Dallas	0.0982012
Pennsylvania	0.0981845
Detroit	0.0975698
LONDON	0.0972212
Spokane	0.0965373
Connecticut	0.0965236
Cambridge	0.0963738
Stamford	0.0957849
Birmingham	0.0956894
Atlanta	0.0955576
borough	0.095288
"West Palm Beach"	0.0946689
"Van Nuys"	0.0946112
Tucson	0.0943674
Columbus	0.0940805
Seattle	0.0936311
Greenwich	0.093213
Texas	0.0928103
Wilmington	0.0927957
TRENTON	0.0927804
"Long Beach"	0.0927383
Louisiana	0.0924115
"Santa Monica"	0.0922793
Springfield	0.0918889
Brownsville	0.0918791
Flatbush	0.0918473
Hartford	0.0918298
"Oklahoma City"	0.0917662
Montreal	0.0913153
"South Boston"	0.0912345
Florida	0.0907297
"St. Petersburg"	0.0907086
"Mexico City"	0.0903665
Bridgeport	0.0899552
Glendale	0.0899089
"San Diego"	0.089881
Ohio	0.089642
Nashville	0.0895739
"New Mexico"	0.0892697
neighborhood	0.0891218
Denver	0.0888739
"St. Louis"	0.0885619
Williamsburg	0.0884533
Worcester	0.0884374
Providence	0.0881781
Akron	0.0881073
"North Carolina"	0.0880521
Dublin	0.0877653
Omaha	0.0872453
Alexandria	0.0871168
"El Paso"	0.0870523
Maryland	0.0870312
Michigan	0.0869417
Fresno	0.0868379
"Nassau County"	0.086464
Sacramento	0.0864598
"Las Vegas"	0.0861481
Buffalo	0.0861295
Queens	0.0860272
"Montgomery County"	0.0858424
Raleigh	0.0857999
Flushing	0.0857996
Berkeley	0.0853822
Illinois	0.0851901
Greenville	0.0850649
suburb	0.0848397
"Lake Worth"	0.0847429
Cincinnati	0.0846899
"Crown Heights"	0.0846716
Cleveland	0.0843654
"San Fernando Valley"	0.084196
Orlando	0.0838986
Paterson	0.0837765
Arlington	0.0834629
Belfast	0.0833761
Buckhead	0.0833725
"East Los Angeles"	0.0831876
Camden	0.0831206
Portland	0.0830437
Chinatown	0.0830399
Paris	0.0829979
"San Jose"	0.0829949
midland	0.0829807
Pittsburgh	0.0827494
Beaumont	0.0826111
Louisville	0.0826038
"Fort Lauderdale"	0.0825491
Jasper	0.0823663
Vermont	0.0823367
"Des Moines"	0.0821933
"Southern California"	0.0821772
Mississippi	0.0819342
Albuquerque	0.081874
"Beverly Hills"	0.0818216
"New Rochelle"	0.081725
Honolulu	0.0814102
Marietta	0.0811169
Missouri	0.0810475
Syracuse	0.080863
Decatur	0.0807236
Tacoma	0.0804693
"Woodland Hills"	0.0803255
Savannah	0.0801072
Alabama	0.0800715
LAKEWOOD	0.0800694
ASHEVILLE	0.0796827
"Rhode Island"	0.0796395
Berlin	0.079598
TALLAHASSEE	0.0794422
Georgia	0.0791559
Medford	0.0790258
"Harris County"	0.0787068
"Northern California"	0.0784003
Oakland	0.0780958
"small town"	0.0779135
Wichita	0.0779018
riverside	0.0778472
Pasadena	0.0776643
Waco	0.0775903
Charlestown	0.0774006
"Palm Beach"	0.0773891
Dorchester	0.0773509
"South Florida"	0.077141
"Overland Park"	0.0771326
Milwaukee	0.0769826
Havana	0.076964
"St. Paul"	0.076924
Poughkeepsie	0.0767887
Wisconsin	0.076743
Middletown	0.0766157
Midtown	0.0764955
Scottsdale	0.0764814
Charleston	0.0764318
"Boca Raton"	0.0763813
"Cobb County"	0.0763235
"Santa Fe"	0.0762955
Burlington	0.076165
"Tarrant County"	0.076103
Washington	0.0758624
"District of Columbia"	0.0751715
"Fulton County"	0.0749336
"Puerto Rico"	0.0745824
Somerville	0.0744219
Lubbock	0.0744014
"inner city"	0.0744008
flint	0.0739801
Madison	0.0739702
Brentwood	0.0738624
"Palo Alto"	0.0738306
))
("Brooklyn Academy of Music" (desc 4021.92) (sims
"Joyce Theater"	0.226846
"New York State Theater"	0.16028
"Lincoln Center Festival"	0.159464
"Carnegie Hall"	0.156221
"Manhattan Theater Club"	0.15479
"Metropolitan Opera House"	0.148475
"National Theater"	0.147228
"Avery Fisher Hall"	0.139852
"New York City Opera"	0.139062
"Kennedy Center"	0.134623
"Film Forum"	0.13064
"Metropolitan Opera"	0.125312
"Lincoln Center"	0.121752
"Public Theater"	0.121592
"Walter Reade Theater"	0.121479
"Royal National Theater"	0.109648
"Whitney Museum of American Art"	0.105755
"American Dance Festival"	0.104749
"Dorothy Chandler Pavilion"	0.101672
"Radio City Music Hall"	0.101162
"Alice Tully Hall"	0.0972408
"P.S @@@"	0.0967576
"Symphony Hall"	0.0953869
"city center"	0.092575
"La Scala"	0.0877089
"Shrine Auditorium"	0.0875793
"Museum of Modern Art"	0.0864267
met	0.0854689
"New York Film Festival"	0.0854625
"Museum of Contemporary Art"	0.0843608
"Cooper Union"	0.0837703
"U.N. Headquarters"	0.0823503
"Madison Square Garden"	0.0809291
"Metropolitan Museum of Art"	0.0806149
"Comiskey Park"	0.0781839
"Riverside Church"	0.0766998
"International Badminton Federation"	0.0751372
"Reunion Arena"	0.074994
"Continental Airlines Arena"	0.0740581
"Jewish Museum"	0.0736336
"American Museum of Natural History"	0.0728467
"Radio City"	0.0719104
"Busch Stadium"	0.0716036
"Texas Motor Speedway"	0.0711962
NHIS	0.0703598
"Atlanta Motor Speedway"	0.0699857
Pir	0.0698776
"Mount Sinai Hospital"	0.0689881
"Royal Opera House"	0.0682564
"Museum of Fine Arts"	0.0677995
"Cinergy Field"	0.0672637
"blue note"	0.0659504
Tabernacle	0.0658595
"New Hampshire International Speedway"	0.0657435
"Philips Arena"	0.0656313
"Waldorf-Astoria Hotel"	0.0655409
"Wrigley Field"	0.065275
"Indianapolis Motor Speedway"	0.0643893
"Dartmouth College"	0.0642126
Daytona	0.0639839
"Plaza Hotel"	0.0635218
"John F. Kennedy Library"	0.0634976
TM	0.0620733
"Market Square Arena"	0.0620424
"Gulfstream Park"	0.0617759
Gulfstream	0.0608081
"New York Public Library"	0.0596452
Louvre	0.0596452
"Lone Star Park"	0.0595533
Guggenheim	0.0592038
"Brooklyn Museum of Art"	0.058554
"Edison Field"	0.05833
"Tiger Stadium"	0.0579246
"MCI Center"	0.057828
Sundance	0.0572551
"Academy of Motion Picture Arts"	0.0572449
"Belmont Park"	0.0570641
"Lipton Championships"	0.0570578
"RFK Stadium"	0.0570198
"Massachusetts General Hospital"	0.0564694
"World Jewish Congress"	0.056422
Longwood	0.056302
"National Press Club"	0.0562159
Tanglewood	0.0561525
"Atlanta Thrashers"	0.0561302
"Guggenheim Museum"	0.0560414
"Museum of Chinese History"	0.0558809
"America West Arena"	0.0555499
"New York-New Jersey MetroStars"	0.0554939
"National Council of Churches"	0.0552929
"Whitney Museum"	0.0552049
"Georgia World Congress Center"	0.0551935
"Churchill Downs"	0.0547909
"International AIDS Conference"	0.0543234
"Lincoln Center Theater"	0.05426
"Pebble Beach"	0.0542461
"Wimbledon Tennis Championships"	0.0540798
"Italian Open"	0.0540108
"Harvard Law School"	0.0537987
"Cannes Film Festival"	0.0535489
"Grammy Awards"	0.0534002
electability	0.0533845
"Hong Kong Convention and Exhibition Center"	0.0528741
"Corcoran Gallery"	0.0527346
"Candlestick Park"	0.0526513
"MGM Grand"	0.0526038
"Barcelona Games"	0.0524546
SkyDome	0.0521503
Eastbourne	0.0518423
"Great Hall"	0.0518275
Sotheby's	0.0513721
"Michigan Speedway"	0.0510448
"Beijing University"	0.0507518
"European Bank for Reconstruction"	0.0506987
"World Cycling Championships"	0.0503105
"Valley Ranch"	0.0502999
Grammys	0.0502935
"Philippine Stock Exchange"	0.0501308
"Tate Gallery"	0.0501041
"town hall"	0.0501008
"concert hall"	0.0500342
"Delta Center"	0.0500119
Pocono	0.0497818
"Hopman Cup"	0.0497005
Pinehurst	0.0496859
"All-China Journalists Association"	0.0496366
"United Republic of Tanzania"	0.0495988
"Pinehurst No. @"	0.049503
"Daytona International Speedway"	0.0494524
"National Gallery"	0.0494294
FleetCenter	0.049335
"Asia Society"	0.0493216
"Nagano Olympics"	0.0492938
"English Football Association"	0.0492497
"Turner Field"	0.0491658
"European Swimming Championships"	0.0491189
"U.S. Chamber of Commerce"	0.0490529
"CBS Sports"	0.0489037
Dartmouth	0.0489005
"Yankee Stadium"	0.048827
Kitzbuehel	0.0488199
Omni	0.0488197
"Apollo Theater"	0.048727
"City Opera"	0.0486742
"Sears Point"	0.0485909
"Longwood Cricket Club"	0.0485015
Wembley	0.0484725
statehouse	0.0484183
"Tony Awards"	0.0483224
"Democratic Leadership Council"	0.0483118
"Giants Stadium"	0.0482232
"Calgary Flames"	0.0479873
"Long Beach State"	0.0479581
"San Francisco Museum of Modern Art"	0.0478858
"European Championships"	0.0477438
UGA	0.0476869
"Dodger Stadium"	0.0475061
Versailles	0.04744
"Tony Award"	0.0473865
"Victoria Park"	0.0473765
"Rivers Stadium"	0.0471866
"Constitutional Assembly"	0.0471691
"Cannes International Film Festival"	0.0471132
"American Red Cross"	0.0470211
"Jacobs Field"	0.0469442
"Sahalee Country Club"	0.0467927
"U.S. Soccer Federation"	0.0467691
"American Jewish Committee"	0.0465895
"Columbia University"	0.0464548
"Sea World"	0.0463994
"Philadelphia Museum of Art"	0.0463395
"Shanghai Stock Exchange"	0.0462853
"Miami Arena"	0.0462802
"Council on Foreign Relations"	0.0462358
"Metropolitan Museum"	0.0461195
"Wembley Stadium"	0.0460425
"Philadelphia Orchestra"	0.0460147
"County Stadium"	0.0459692
"National Tennis Center"	0.0459557
"Carter Center"	0.0459502
"University of Kansas"	0.0459122
"opera house"	0.0458273
Seville	0.0458202
"RCA Dome"	0.0456988
"Football Association"	0.0456856
"Pepsi Center"	0.0456855
"Rockefeller Center"	0.0456832
"Texas Stadium"	0.0455296
"Joe Louis Arena"	0.0454973
"American Ballet Theater"	0.0454417
"Roland Garros"	0.0454281
"Miami International Airport"	0.0453861
"World University Games"	0.0452168
"Asian Winter Games"	0.0451271
Smithsonian	0.0451211
"Marine Midland Arena"	0.044995
"Academy Awards"	0.0449724
TCU	0.044922
"Harvard College"	0.0448937
Yale	0.0448687
))
("Brooklyn Bridge" (desc 2634.5) (sims
"Bay Bridge"	0.130521
"Empire State Building"	0.127459
"Golden Gate Bridge"	0.111581
"Statue of Liberty"	0.100083
"Eiffel Tower"	0.0900398
"Chrysler Building"	0.0823105
"New York Harbor"	0.0722154
"Liberty Bell"	0.0716654
"pedestrian bridge"	0.0672162
footbridge	0.066752
"Ohio River"	0.0650859
"Twin Towers"	0.0646723
"Rockefeller Center"	0.0639026
"Erie Canal"	0.0631681
"Brandenburg Gate"	0.0630584
"Mount Hermon"	0.0606828
"Pikes Peak"	0.0595931
"Rocky Mountains"	0.0594983
Acropolis	0.0594346
causeway	0.0585882
"Central Park"	0.0582693
"Demilitarized Zone"	0.0573713
"Space Needle"	0.0572478
interstate	0.0565589
"Ellis Island"	0.0564995
"Berlin Wall"	0.0564522
freeway	0.0564239
"access road"	0.0553264
"Pennsylvania Station"	0.0538931
Qomolangma	0.0538695
"East River"	0.0534015
"Washington Monument"	0.0533243
"Suez Canal"	0.0528923
thoroughfare	0.0525519
Himalayas	0.0514884
Colosseum	0.0506528
"Sydney Opera House"	0.0505433
"Interstate @"	0.0504344
Seine	0.0502801
"Dead Sea"	0.0486142
tarmac	0.0484993
"suspension bridge"	0.0475587
"Millennium Dome"	0.0473424
"Lincoln Memorial"	0.0471716
"state line"	0.0466631
"Niagara Falls"	0.0465638
"English Channel"	0.0464574
"Blue Ridge"	0.0458121
"Union Square"	0.0455074
"Long Island Sound"	0.0451734
"Hudson River"	0.0451334
motorway	0.0447237
overpass	0.0446077
"demarcation line"	0.0445904
"mushroom cloud"	0.0445876
"Danube River"	0.0443883
"gambling casino"	0.044225
floodgate	0.0436705
"Victoria Harbor"	0.0433091
"main road"	0.0431111
"railroad line"	0.0428182
"Great Wall"	0.0427836
"Congo River"	0.042482
"New Jersey Turnpike"	0.0423734
"San Francisco Bay"	0.0423086
"Arctic Circle"	0.0422669
Reel.com	0.0418582
"Florida Straits"	0.0416977
"Thomson CSF"	0.0414282
"Park Slope"	0.0414001
"house of cards"	0.0412627
"piggy bank"	0.0411805
"white line"	0.0409955
turnpike	0.0409326
emulator	0.0405705
equator	0.0404925
"Swiss Alps"	0.0401623
"high wire"	0.0400777
))
("Brooklyn Dodgers" (desc 4022.98) (sims
"St. Louis Cardinals"	0.159952
"Detroit Tigers"	0.155605
"Chicago Cubs"	0.151412
"Pittsburgh Pirates"	0.143807
"New York Mets"	0.142276
"Washington Senators"	0.14097
"Los Angeles Dodgers"	0.139296
"Boston Red Sox"	0.13816
"Cincinnati Reds"	0.130685
"Cleveland Indians"	0.12221
"Baltimore Orioles"	0.119839
"Seattle Mariners"	0.119067
"New York Yankees"	0.117761
"Toronto Blue Jays"	0.117441
"San Francisco Giants"	0.116798
"Minnesota Twins"	0.116664
Canadiens	0.111402
"Oakland Athletics"	0.108931
"Atlanta Braves"	0.107005
"Houston Astros"	0.105686
"Philadelphia Phillies"	0.103014
"Anaheim Angels"	0.102223
dodger	0.101781
"San Diego Padres"	0.10122
"Washington Redskins"	0.0999463
"Milwaukee Brewers"	0.0972002
"Oakland Raiders"	0.0965814
A's	0.096188
Padre	0.095909
"New York Giants"	0.0955487
diamondback	0.0954589
"Montreal Expos"	0.0925631
Mets	0.0918523
"Colorado Rockies"	0.0914296
Celtics	0.0911796
"Dallas Cowboys"	0.0911007
"Florida Marlins"	0.0910005
"Boston Celtics"	0.090901
"Chicago White Sox"	0.0906391
cub	0.0905275
"Kansas City Royals"	0.089792
"Phoenix Mercury"	0.0889869
"Arizona Diamondbacks"	0.0886209
"Red Sox"	0.0882292
"Maple Leafs"	0.0881748
"White Sox"	0.0877377
"Texas Rangers"	0.087056
Orioles	0.086698
"Toronto Maple Leafs"	0.0862526
"Los Angeles Galaxy"	0.0861602
"Green Bay Packers"	0.0858468
ASTROS	0.0832771
oiler	0.0827099
mariner	0.0810077
"Crimson Tide"	0.0807041
"Baltimore Colts"	0.0801853
"Calgary Flames"	0.0796401
"New York Liberty"	0.0781727
Expo	0.0780647
"Chicago Fire"	0.0772788
"Philadelphia Flyers"	0.076603
Steelers	0.0765771
"Seattle Seahawks"	0.0764848
"blue jay"	0.0764237
Cavs	0.0764237
"Houston Oilers"	0.0763476
"Los Angeles Sparks"	0.0762698
PSG	0.0761733
"Fighting Irish"	0.0761401
"Ottawa Senators"	0.0755735
Giants	0.0753396
"Tampa Bay"	0.0750524
"New York Rangers"	0.0748243
Sox	0.0744495
Canuck	0.0742234
"Edmonton Oilers"	0.0737604
"Cleveland Browns"	0.0736041
brewer	0.0726969
Royals	0.0725471
"Nashville Predators"	0.0725164
Oakland	0.0725127
"Miami Fusion"	0.0718751
"New York Jets"	0.0716813
Blackhawks	0.0716363
"devil ray"	0.0716347
Springbok	0.0713764
thrasher	0.0710639
"Philadelphia Eagles"	0.0710121
"Denver Broncos"	0.0704097
Jansher	0.0701515
"Miami Dolphins"	0.069523
"Arizona Cardinals"	0.0691672
"baseball team"	0.0689492
"Boston Symphony Orchestra"	0.0689073
"San Francisco @@ers"	0.0687721
"Detroit Pistons"	0.0686554
"Buffalo Sabres"	0.0685059
"Detroit Red Wings"	0.0683098
"New Jersey Nets"	0.0679331
PAOK	0.0674249
"New York-New Jersey MetroStars"	0.0673968
UAB	0.0669954
"Minnesota Vikings"	0.0669239
"Los Angeles Kings"	0.0668504
MetroStars	0.0666201
"New Jersey Devils"	0.0665896
"Indianapolis Colts"	0.0665574
BEARS	0.0665084
"Vancouver Canucks"	0.0664768
"New Orleans Saints"	0.0662212
"San Diego Chargers"	0.0660085
gamecock	0.0659007
"Buffalo Bills"	0.065775
"Anaheim Mighty Ducks"	0.0656313
"Red Star"	0.065327
"Golden State Warriors"	0.0652264
"California Angels"	0.0651469
UTEP	0.0645433
"hockey team"	0.0639097
"Winning Colors"	0.0637214
"Phenix City"	0.0636618
"Los Angeles Lakers"	0.063428
"New England Patriots"	0.0632457
"Montreal Canadiens"	0.0632289
Testud	0.0632009
"St. Louis Rams"	0.0631323
"New York Knicks"	0.0631141
marlin	0.0630225
"Los Angeles Rams"	0.0629327
"Boston Bruins"	0.0628673
"Team USA"	0.0627903
"Detroit Lions"	0.062768
"Ebbets Field"	0.0622709
Hawkeyes	0.061922
"Kansas City Chiefs"	0.0616685
"Dallas Stars"	0.0616393
Nicol	0.0612302
"Utah Jazz"	0.061185
"Pee Wee Reese"	0.0611405
"New York Yankee"	0.0608225
"Ivan Lendl"	0.060582
pirate	0.0604556
"Carolina Hurricanes"	0.0604246
"Red Wings"	0.0601928
"Atlanta Hawks"	0.0596913
"Tampa Bay Devil Rays"	0.0596556
"Big Red Machine"	0.0595599
Vols	0.0592809
Bengals	0.0592143
Edmonton	0.0591712
"Indiana State"	0.0591536
Milwaukee	0.0588232
Huskers	0.0587869
Phillies	0.0587435
Starzz	0.0586956
"Phoenix Suns"	0.0586763
"New York Islanders"	0.0585739
"Tampa Bay Buccaneers"	0.0585229
"Jackson State"	0.0579184
flyer	0.0578771
niner	0.0575102
"Boca Juniors"	0.0574889
Redskin	0.0574763
"Indiana Pacers"	0.0574671
BYU	0.0574161
AFL	0.0572396
Boilermakers	0.0571518
"Washington Capitals"	0.0570948
"Chicago Bears"	0.0570603
Spartak	0.0569312
"Montana State"	0.0568969
"Chicago Bulls"	0.0566297
"Trail Blazers"	0.0566075
sixer	0.0563249
"Tar Heels"	0.0563046
Edberg	0.056243
"Baltimore Ravens"	0.0562356
"San Jose Sharks"	0.0559948
"three match points"	0.0556652
UMass	0.0553749
Cornhusker	0.0552264
"ATLANTA FALCONS"	0.0549026
"Pittsburgh Penguins"	0.0548193
gopher	0.0547866
"Horned Frogs"	0.0545749
"Cactus League"	0.0545109
wildcat	0.053966
"major-league team"	0.0538442
"basketball team"	0.0537851
"Weber State"	0.0535595
islander	0.0533515
Taufik	0.0532422
"CHARLOTTE STING"	0.0532054
"Aston Villa"	0.0530949
"Green Bay"	0.0530724
"D.C. United"	0.0530065
BUCCANEER	0.0529919
"Mighty Ducks"	0.052775
"Noureddine Morceli"	0.0527413
Rosenborg	0.0526587
))
("Brooklyn Heights" (desc 1695.71) (sims
"Crown Heights"	0.14787
"Fort Lee"	0.132803
"Park Slope"	0.130791
"West Village"	0.12874
"Newport Beach"	0.10938
Encino	0.107897
"Great Neck"	0.107443
"East New York"	0.106485
"Paradise Valley"	0.104695
"Greenwich Village"	0.104106
"Palm Beach Gardens"	0.101679
Falmouth	0.0989133
"San Rafael"	0.0969484
LAKEWOOD	0.0955408
"East Orange"	0.0936404
"White Plains"	0.0929757
Alpharetta	0.0929746
"Delray Beach"	0.091867
"Washington Heights"	0.0910439
"Van Nuys"	0.0906332
Tribeca	0.0896875
Williamsburg	0.0884793
"Overland Park"	0.0883277
"Sherman Oaks"	0.0882222
"South Bronx"	0.0877569
"North End"	0.0864162
"East Village"	0.0863956
Riverdale	0.0849638
"Woodland Hills"	0.084619
Chappaqua	0.0845402
Tarrytown	0.0838197
Stockbridge	0.0834789
"Forest Hills"	0.083327
Montclair	0.0821633
"Cherry Hill"	0.0805404
"Highland Park"	0.0798635
Chatsworth	0.0793243
"Thousand Oaks"	0.077936
"Brighton Beach"	0.0777256
"Boca Raton"	0.0775587
Bradenton	0.0772262
Yonkers	0.0771693
Chinatown	0.07713
"Boynton Beach"	0.0767708
Needham	0.0764132
"Silver Spring"	0.0758149
"Culver City"	0.0757249
"Century City"	0.0754681
"Westlake Village"	0.0754028
Morristown	0.0749273
"College Park"	0.0748001
Medford	0.0746563
"Santa Rosa"	0.0745831
Edinburgh	0.0742248
Kirkland	0.0736247
ASHEVILLE	0.0734238
"Marin County"	0.0733506
Sausalito	0.0729459
"Manhattan Beach"	0.0728073
"Lower Manhattan"	0.0722841
Chatham	0.0720399
Farmington	0.071946
Nacogdoches	0.0714944
Bensonhurst	0.0712441
Ridgewood	0.0712198
"East Harlem"	0.0708616
Ithaca	0.0708565
Burlingame	0.0708037
"Hollywood Hills"	0.070775
Sussex	0.0702314
"New Rochelle"	0.0701536
"Rockland County"	0.0698062
Westport	0.0693064
Schenectady	0.0690615
Clifton	0.0687567
Astoria	0.0686119
"Chapel Hill"	0.06845
Tempe	0.0682203
Dunwoody	0.0681939
"Huntington Beach"	0.0681679
"Pacific Palisades"	0.067779
"West Hollywood"	0.0676245
"Miami Beach"	0.0675574
"Mill Valley"	0.0675517
Alameda	0.0672336
Brentwood	0.0671164
Englewood	0.0669311
"Midtown Manhattan"	0.0665919
"Studio City"	0.0663594
Oxnard	0.0662302
Rey	0.0660117
Cornish	0.0658022
Flatbush	0.0657861
Acton	0.0655567
Missoula	0.0651907
"San Mateo"	0.0650826
"West Los Angeles"	0.0649991
"Palo Alto"	0.064902
Aberdeen	0.0647426
"Sussex County"	0.0647324
Annapolis	0.0644368
lean-to	0.0642319
"Santa Monica"	0.0637638
"Menlo Park"	0.0636177
"Stone Mountain"	0.0635811
Eureka	0.0632963
tenement	0.0632412
Glendale	0.0630622
Lawrenceville	0.0628932
Sunnyvale	0.0628561
"Saratoga Springs"	0.0627803
"El Segundo"	0.0627029
Gainesville	0.0622771
"Jersey City"	0.062155
Carmel	0.0620523
Xenia	0.0619829
Flushing	0.0617295
Plano	0.0616613
"New Canaan"	0.0615399
Lynchburg	0.0615293
Duluth	0.0614464
riverside	0.0612761
Brockton	0.0610203
"East Hampton"	0.0609374
"Battery Park City"	0.0608884
"North Hollywood"	0.0605258
"Free World"	0.0604345
"South San Francisco"	0.0602299
"Borough Park"	0.0599061
Eugene	0.0599001
"Walnut Creek"	0.0598672
"South End"	0.059614
Emeryville	0.0595279
Braintree	0.0589787
Bloomfield	0.0585824
"Round Rock"	0.0585416
Stamford	0.0582422
Zamboanga	0.0581186
Calabasas	0.0577717
"West Orange"	0.0575603
Queens	0.0574342
Norwood	0.0571014
Bloomington	0.0569393
Bethesda	0.0567923
oceanside	0.0565137
Redding	0.0564031
"Simi Valley"	0.0562835
Somerville	0.0561369
"Virginia Beach"	0.0560987
"Harvard Square"	0.056024
Lenexa	0.0559779
Marietta	0.0559293
Fairfax	0.0558808
Rockville	0.0558233
borough	0.0554723
Fredericksburg	0.0554675
Greenville	0.0553417
"Old Town"	0.0552957
"San Marcos"	0.0552276
"West Palm Beach"	0.0551998
"New London"	0.0551749
"New Haven"	0.0550613
"Santa Fe"	0.0549865
"Broward County"	0.0548759
Hialeah	0.0548652
Dundalk	0.0548257
Buckhead	0.0547863
"Mission Viejo"	0.054684
"Garden City"	0.0545458
"Red Hook"	0.0545276
Framingham	0.0543479
"hole in the ground"	0.0542021
Woburn	0.0539428
Decatur	0.053808
Burlington	0.0538014
"Port St. Lucie"	0.0537649
"Canary Islands"	0.0536031
Mayfair	0.0535587
"Mountain View"	0.0532933
"Hell's Kitchen"	0.0531968
Potomac	0.0531729
Bridgehampton	0.053103
Westfield	0.0530918
TARBORO	0.0530793
"Corpus Christi"	0.0529384
ARCADIA	0.0528383
Albuquerque	0.0527389
Paterson	0.0527092
"Ann Arbor"	0.0526035
Antioch	0.0523619
Clearwater	0.0523196
Surrey	0.0522638
Provo	0.0521634
Wheaton	0.0520989
Carlsbad	0.0518959
Westchester	0.0518172
"East Los Angeles"	0.0518134
Irving	0.0517799
Pacoima	0.0517691
Raleigh	0.0517098
))
("Brooklyn Museum" (desc 4107.16) (sims
"Brooklyn Museum of Art"	0.279308
"Whitney Museum"	0.270724
"Metropolitan Museum"	0.234188
"National Gallery"	0.219995
"Whitney Museum of American Art"	0.166846
"Metropolitan Museum of Art"	0.158778
"Jewish Museum"	0.156114
"San Francisco Museum of Modern Art"	0.151196
"Museum of Fine Arts"	0.15106
"Philadelphia Museum of Art"	0.148964
"Museum of Modern Art"	0.145934
"Corcoran Gallery"	0.139225
"Tate Gallery"	0.137017
"Guggenheim Museum"	0.129359
MFA	0.126262
"Smithsonian Institution"	0.125975
Guggenheim	0.122976
"Museum of Contemporary Art"	0.121133
"Art Institute of Chicago"	0.117338
Smithsonian	0.115509
"American Museum of Natural History"	0.115402
"High Museum of Art"	0.115092
"Atlanta History Center"	0.111208
met	0.107438
Kimbell	0.105872
"Solomon R. Guggenheim Museum"	0.100208
Whitney	0.0982876
Getty	0.0960564
"British Museum"	0.0948762
DMA	0.0940079
"Costume Institute"	0.0895521
Moma	0.0868282
Louvre	0.0848452
"National Museum"	0.0824204
"Museum of Natural History"	0.0809295
"Zoo Atlanta"	0.077806
"Science City"	0.0746936
"National Endowment"	0.0706729
CCA	0.0700894
Stroganoff	0.0630581
Sotheby's	0.061568
"New York Civil Liberties Union"	0.0596718
"Southeastern Legal Foundation"	0.0561647
Frick	0.0551708
"City Ballet"	0.0549604
"Royal National Theater"	0.0549136
"New York Public Library"	0.0541889
zoo	0.0531855
"National Marine Fisheries Service"	0.0520027
"New York Film Festival"	0.0515274
"Sydney Organizing Committee"	0.0510681
"John F. Kennedy Library"	0.0508784
Massport	0.0505751
"Modern Library"	0.0504676
"Department of Corrections"	0.0504471
Pillars	0.0504154
"Equal Employment Opportunity Commission"	0.0500946
"Health Care Financing Administration"	0.0500228
NEA	0.0498868
USAID	0.0490481
"Mount Vernon"	0.0489874
Hermitage	0.0488759
NLRB	0.0485802
"National Highway Traffic Safety Administration"	0.0484715
"Census Bureau"	0.0480992
"National Science Foundation"	0.047952
"International Rescue Committee"	0.0479266
roundabout	0.0473887
"Environmental Protection Agency"	0.0472692
"Museum of Chinese History"	0.0469271
Lucasfilm	0.0465747
"National Labor Relations Board"	0.0462498
Ringling	0.0458544
"American Century"	0.0456956
"Fish and Wildlife Service"	0.0455508
FDIC	0.0453708
"New York Times Co."	0.0449856
"New Covenant"	0.0449494
"Health Department"	0.0448181
wrongdoer	0.0446617
"City Opera"	0.0443691
"District Council"	0.0441353
"Carnegie Hall"	0.0440093
Tate	0.0437597
"Russian Space Agency"	0.0436595
Yaddo	0.0436061
ICA	0.0434733
ACLU	0.0432128
"Port Authority of New York"	0.043121
Fermilab	0.0430056
"Federal Deposit Insurance Corp."	0.0428829
"Human Rights Campaign"	0.0428419
"Planned Parenthood"	0.0427826
Roxy	0.0427685
"Enron Corp."	0.0425298
WEF	0.0424373
Nepa	0.0422362
"Immigration and Naturalization Service"	0.0418869
"U.S. Environmental Protection Agency"	0.0418654
Clinton-Lewinsky	0.0416787
"Drug Enforcement Administration"	0.0416658
Emory	0.0416026
"National Institutes of Health"	0.0415638
"Cuban American National Foundation"	0.0413617
DEP	0.0412976
"Academy of Motion Picture Arts"	0.0412257
"Brooklyn Academy of Music"	0.0411165
"Handgun Control"	0.0411066
"Victoria Park"	0.0410632
"Lincoln Center Theater"	0.0410491
Mehmet	0.0409634
"Bank Bali"	0.0409566
"Office of Management and Budget"	0.0408575
Pemex	0.0408573
"U.S. Immigration and Naturalization Service"	0.0408168
"Georgia World Congress Center"	0.0406919
"Thermo Electron"	0.0403952
"CBS Sports"	0.0403801
"Salt Lake Organizing Committee"	0.04031
NHTSA	0.0402527
"American Civil Liberties Union"	0.0402371
"auction house"	0.0400071
))
("Brooklyn Museum of Art" (desc 6292.16) (sims
"Brooklyn Museum"	0.279308
"Metropolitan Museum"	0.191632
"Whitney Museum"	0.182727
"Metropolitan Museum of Art"	0.178822
"Whitney Museum of American Art"	0.17286
"Museum of Modern Art"	0.16994
"National Gallery"	0.169823
"American Museum of Natural History"	0.164347
"Jewish Museum"	0.161702
"San Francisco Museum of Modern Art"	0.160347
"Art Institute of Chicago"	0.156648
"Philadelphia Museum of Art"	0.15612
"Museum of Fine Arts"	0.154899
"Corcoran Gallery"	0.14668
"Guggenheim Museum"	0.130688
"Solomon R. Guggenheim Museum"	0.13046
"Tate Gallery"	0.125099
"Museum of Contemporary Art"	0.121829
"British Museum"	0.113104
"Atlanta History Center"	0.110747
Guggenheim	0.107395
"High Museum of Art"	0.105404
"Costume Institute"	0.104256
"Smithsonian Institution"	0.10409
"Museum of Natural History"	0.0881483
Smithsonian	0.087994
MFA	0.0879355
met	0.08183
Whitney	0.0804759
"National Museum"	0.0765633
Louvre	0.0710727
"New York Film Festival"	0.0701063
"Lincoln Center Festival"	0.0692883
Getty	0.0664209
"New York Public Library"	0.06219
"Museum of Chinese History"	0.0599476
"Swiss Open"	0.0593303
"Brooklyn Academy of Music"	0.058554
Moma	0.0581303
"Lincoln Center"	0.0572727
Sestriere	0.0570519
"Film Forum"	0.0568934
"Victoria Park"	0.056106
"Radio City Music Hall"	0.0557558
"Walter Reade Theater"	0.0554304
Dodgertown	0.0554002
Sotheby's	0.0551295
"English Football Association"	0.0547843
Kimbell	0.0545996
"Public Theater"	0.0532958
metropolitan	0.0520171
"Georgia World Congress Center"	0.051938
"Royal National Theater"	0.0517835
"American Film Institute"	0.0517133
DMA	0.0517064
"Iranian Foreign Ministry"	0.0516861
"Hall of Fame"	0.0515405
Graceland	0.0511168
"Metropolitan Opera House"	0.0509076
"Cooper Union"	0.0496083
"Zoo Atlanta"	0.0494032
"Melbourne Park"	0.0492225
"House Budget Committee"	0.0490824
"European Swimming Championships"	0.0488309
zoo	0.0487871
"Wimbledon Tennis Championships"	0.0487734
"Kennedy Center"	0.0485541
"Manhattan Theater Club"	0.048304
"New York Civil Liberties Union"	0.0480722
"Boston Symphony Orchestra"	0.0477844
BNFL	0.047543
Kitzbuehel	0.0473089
MTA	0.0471667
"New York City Opera"	0.0471397
"New York-New Jersey MetroStars"	0.0470902
"Philippine Stock Exchange"	0.0465811
Linz	0.0464844
"Mount Vernon"	0.0462344
"Republican National Committee"	0.0460936
"New York State Theater"	0.0459847
"Salt Lake Organizing Committee"	0.0458713
"Metropolitan Transportation Authority"	0.0457823
"National Economic Council"	0.0456878
"U.N. Headquarters"	0.0456419
"Memorial Hall"	0.0455607
KPU	0.0453931
"John F. Kennedy Library"	0.0450513
"International Badminton Federation"	0.0449235
"La Guardia Airport"	0.0448949
"National Library"	0.044242
Highbury	0.044162
"Flushing Meadows"	0.0440916
"Lipton Championships"	0.0439054
"Carnegie Hall"	0.0438774
Basle	0.0437775
"Cuban American National Foundation"	0.0437636
"Housing Authority"	0.0436269
"World Team Cup"	0.0434707
"National Theater"	0.0431878
"Joyce Theater"	0.0431128
"Metropolitan Opera"	0.0431071
"Asia Society"	0.0427048
"Science City"	0.0426501
"London Stock Exchange"	0.0425124
"Hong Kong Convention and Exhibition Center"	0.0422006
"Yuri Luzhkov"	0.0418919
wrongdoer	0.0418595
Christie's	0.0415982
"International Rescue Committee"	0.0413757
Trondheim	0.0412705
Imola	0.0412209
"Turkish Daily News"	0.0411203
"Nevada State Athletic Commission"	0.0410169
Bellagio	0.0409417
"Dorothy Chandler Pavilion"	0.0408628
"U.S. Capitol"	0.0407224
"British government"	0.0406128
"Russian Foreign Ministry"	0.0405416
"Barneys New York"	0.0403987
"Football Association"	0.0403726
Filderstadt	0.0401466
"Senate Commerce Committee"	0.0401217
half-staff	0.0400576
))
(Brooks (desc 20141.7) (sims
Evans	0.0968963
Wilson	0.0892495
Williams	0.0891459
Rogers	0.0886783
smith	0.0866571
"Garth Brooks"	0.0863123
Thomas	0.0856465
Harris	0.0848834
Jackson	0.0846962
Phillips	0.0845216
Adams	0.0826597
Jones	0.0821892
Holmes	0.0818758
Davis	0.0815604
Parker	0.0813245
Ellis	0.0807269
Jenkins	0.0804458
Edwards	0.0791787
Anderson	0.0790853
Carter	0.0782961
Nelson	0.0776475
Kelly	0.0773547
turner	0.0772697
Johnson	0.0771679
Allen	0.0767754
Ross	0.076443
collins	0.076258
McDonald	0.0761691
Lukas	0.0757287
Scott	0.074916
James	0.074695
Davies	0.0745668
Robinson	0.0745378
Carroll	0.0744538
Lucas	0.0743104
Richardson	0.0742744
Spielberg	0.0742525
Ferguson	0.0742162
Simon	0.0741839
Bowden	0.07416
Matthews	0.073804
Myers	0.073727
Reeves	0.073606
Hess	0.0735306
Morris	0.073519
Simmons	0.0733868
Oates	0.0733318
Wright	0.0732957
Chapman	0.0724774
Riley	0.0724307
Powell	0.0722681
Quinn	0.0722374
Torre	0.0721368
Bates	0.0719249
Roberts	0.0719146
Sanders	0.0719002
Higgins	0.0718252
Stevens	0.0711842
Hoffman	0.0700411
Elliott	0.0699877
Owens	0.069951
Lockhart	0.0696227
Lee	0.0694474
Clark	0.0694457
Mitchell	0.0694107
Weinke	0.0693891
Stewart	0.069356
Lewis	0.0692252
Rhodes	0.0691801
Watson	0.0690664
Peterson	0.0689726
"Shania Twain"	0.0689442
Richards	0.0689331
Barnes	0.068862
Taylor	0.0688442
Hackett	0.0688325
Lopez	0.0688154
Miller	0.0687496
Murray	0.068619
Dixon	0.0684023
martin	0.0682987
Saunders	0.0682942
matt	0.0682758
Cooper	0.0681442
Cole	0.0681183
Sasser	0.0676789
O'Donnell	0.0672752
Donahue	0.067255
Gailey	0.0670747
Newman	0.0668331
O'Connor	0.0667205
Michaels	0.0665141
Eastwood	0.0664616
Raines	0.0663142
Schmidt	0.0662382
Webber	0.0661643
Ramirez	0.0661555
McGraw	0.0661508
Walsh	0.0660569
Shanahan	0.0659538
Burns	0.0658745
Bryant	0.0656326
Burke	0.0655923
Levine	0.065584
murphy	0.0654474
walker	0.0654154
Garcia	0.0652393
Welch	0.0652343
O'Connell	0.0652237
Palmer	0.0651271
Brett	0.0651134
Willis	0.0651014
Blackman	0.0650811
Dion	0.0649795
Morrison	0.0648912
Rodriguez	0.0648239
Mills	0.064707
fisher	0.0646859
Anthony	0.0646218
Gomez	0.0645452
Erickson	0.0644906
Jacobs	0.0643296
Gretzky	0.0642632
Terry	0.0641465
Friedman	0.0641365
Haskins	0.0641128
Wolfe	0.0640703
Peter	0.0639605
Watts	0.0638544
Henson	0.0638424
Manuel	0.0637704
Hayes	0.0635635
Bennett	0.0635036
"Tim McGraw"	0.0634904
Cohen	0.0634834
Doherty	0.063468
Reid	0.0634547
Flores	0.0634198
Wallace	0.0634179
Torres	0.0633603
Ruiz	0.0633504
Fernandez	0.0632526
Simms	0.0630974
Jennings	0.0630618
Patterson	0.0630612
Henley	0.0629578
Snyder	0.0629462
Krzyzewski	0.0629176
Keller	0.0628785
Gordon	0.062865
Crenshaw	0.0627834
Payne	0.0627586
duncan	0.0626321
Brady	0.0624861
O'Brien	0.0624231
Wells	0.0624073
Hughes	0.0622734
Osborne	0.0622363
O'Leary	0.062233
Goldberg	0.0622303
Thompson	0.0621692
Nolan	0.0621245
Macdonald	0.0621205
Sims	0.0621094
Cunningham	0.0621034
Armstrong	0.0620866
gill	0.0620615
Clarke	0.061914
Spears	0.0618322
Pitino	0.061746
Akers	0.0617104
Barrett	0.0617078
Shaw	0.0616695
Kaplan	0.0616654
BENSON	0.0616249
Baffert	0.0614393
Webb	0.061426
Baker	0.0613355
Berger	0.0612819
Copeland	0.0612299
Chan	0.0611798
Lyons	0.0610737
Billick	0.0610236
Warner	0.0609624
Parsons	0.0608755
Daniels	0.060853
Richard	0.0608464
Kendall	0.0608361
Zimmer	0.0608348
Weis	0.0608014
Francis	0.0607196
perry	0.0607155
she	0.0607105
Schmid	0.0606621
Olowokandi	0.0605921
Hanley	0.0605217
Haynes	0.0604654
Robertson	0.060401
Burnett	0.0603
Hicks	0.0602998
))
("Brooks Brothers" (desc 1053.97) (sims
"powder blue"	0.141402
Asda	0.134493
"Old Navy"	0.132974
DKNY	0.120947
"Fred Meyer"	0.117248
"Krispy Kreme"	0.109883
Caldor	0.107451
"J. Crew"	0.104276
"Eddie Bauer"	0.101637
"dark blue"	0.0988057
Walgreens	0.0979981
Armani	0.0976165
"Tommy Hilfiger"	0.0969659
Fubu	0.0966188
flannel	0.0964581
Nordstrom	0.0946127
"royal blue"	0.0940326
Gymboree	0.0924405
adidas	0.0915555
"Banana Republic"	0.0913742
"navy blue"	0.0906941
"Tower Records"	0.0902033
"CBS Corp."	0.089197
"light brown"	0.0891269
"L.L Bean"	0.0885928
Abercrombie	0.088147
Safeway	0.0880459
"Food Lion"	0.0878882
"Abercrombie &AMP; Fitch"	0.0877158
tweed	0.0864344
taupe	0.0855125
"Best Buy"	0.0853447
Staples	0.0843533
"Lord &AMP; Taylor"	0.0835423
Pendleton	0.0824697
plaid	0.0820787
CVS	0.0816412
"Liz Claiborne"	0.0814782
Publix	0.0809277
docker	0.0807988
"Radio Shack"	0.0805889
"olive green"	0.0802981
"Jil Sander"	0.0792331
"Saks Fifth Avenue"	0.077844
"Sharper Image"	0.077741
Roebuck	0.077688
Ingram	0.0775611
"Legal Aid Society"	0.0765828
"Rite Aid"	0.0763302
"Helmut Lang"	0.0762996
"Neiman Marcus"	0.0748694
KFC	0.0746218
Speedo	0.0731135
polyester	0.0726696
HILFIGER	0.0709852
scuba	0.0700614
Penney	0.0699152
denim	0.0697506
"polka dot"	0.0689746
Kroger	0.0689276
Levi's	0.0688927
tuxedo	0.0687296
Walmart	0.06842
Versace	0.0682314
AutoNation	0.0681275
N@K	0.068024
Woolworth	0.0679832
Albertson's	0.0677961
Williams-Sonoma	0.0667554
Wiz	0.0666735
lingerie	0.0665522
"Bill Blass"	0.0663962
gingham	0.066334
"Ralph Lauren"	0.0660369
"Good Housekeeping"	0.0639846
esprit	0.0639774
"Paula Corbin Jones"	0.0639463
USEC	0.0637069
Propulsid	0.0630134
Aloha	0.0629236
bolero	0.0622416
hosiery	0.062126
Gump	0.0618767
Barneys	0.0617029
"Toys R Us"	0.0615745
"Calvin Klein"	0.0614074
"Yves Saint Laurent"	0.0610966
tux	0.0610862
Ikea	0.0609988
Chanel	0.0606345
Fendi	0.060572
Roberds	0.060436
SETTLES	0.0603501
Carrefour	0.0602381
"high fashion"	0.0601739
"pet food"	0.0601414
CompUSA	0.0597066
"FAO Schwarz"	0.0595466
worn	0.0593516
"J. Peterman"	0.0593481
safari	0.0591854
Levi	0.0588903
taffeta	0.0588413
Silverado	0.0584292
"Pottery Barn"	0.0579437
RICO	0.0573339
"margin call"	0.0573224
"Giorgio Armani"	0.0571596
"Barnes &AMP; Noble"	0.0571079
"wedding ring"	0.0569935
Reel.com	0.0569839
"Circuit City"	0.056575
periwinkle	0.0563781
tunic	0.0563476
shamrock	0.0560356
"Gap Inc."	0.0558983
pullover	0.0556906
"Whole Foods"	0.0554726
Starbucks	0.0550964
Copley	0.0550422
eyewear	0.0549536
rhinestone	0.0547897
"Knight Ridder"	0.0546903
"Fighting Irish"	0.0544914
Dior	0.0544727
RCN	0.0544228
southland	0.0543009
Gartner	0.0541145
"J.C. Penney"	0.0540431
spandex	0.0539641
REIT	0.0538724
"network programming"	0.0538204
cashmere	0.0537123
Lycra	0.0537103
Saks	0.0535367
PBA	0.0534987
"Barneys New York"	0.0534531
"Donna Karan"	0.0534332
"New Balance"	0.0534192
RIAA	0.0533729
Kmart	0.0530926
checkerboard	0.0529794
snakeskin	0.0529481
Madras	0.0529249
comp	0.0528402
prosthesis	0.052812
"Star of David"	0.0527428
"name tag"	0.0524688
Win@@	0.0521865
Picassos	0.0521527
GQ	0.0520589
housewares	0.0519638
"Atlantic Richfield"	0.0519332
Puma	0.0519094
Tropicana	0.0515089
multibillion	0.0514746
mohair	0.0513869
AMC	0.0512584
"car insurance"	0.0510122
Lexus	0.0510013
Cerent	0.0509305
Hyatt	0.0508351
CMA	0.05071
tartan	0.0504239
rayon	0.0504012
IAI	0.0503699
Transamerica	0.0502963
HERMES	0.0502428
"Saint Laurent"	0.0501918
"Louis Vuitton"	0.0501381
"airplane ticket"	0.0499896
Humana	0.0499282
Cargill	0.049659
Stroh	0.0493612
"Ameritech Corp."	0.0492227
McDonalds	0.0490696
nylon	0.0489304
FPL	0.0488969
Chiron	0.0488766
NORTHROP	0.0488158
Chris-Craft	0.0486752
"Bankers Trust Corp."	0.0486603
Domino's	0.0485101
PolyGram	0.0484876
timberland	0.0484163
"breach of contract"	0.048381
Benecol	0.0483664
Cyrix	0.0483077
EMI	0.0483041
flack	0.0482761
Ferragamo	0.0479887
Swimwear	0.0479514
"Amazon.com Inc."	0.0478432
earplugs	0.0477008
Honeywell	0.0476692
Walgreen	0.0476513
suede	0.0476414
ENTERGY	0.0475757
menswear	0.0473571
"Mickey mouse"	0.0470371
))
(broom (desc 9697.33) (sims
shovel	0.141695
broomstick	0.120165
"baseball bat"	0.102535
knife	0.0958234
mop	0.0932374
screwdriver	0.0864986
paintbrush	0.086222
machete	0.0845724
pail	0.0830764
baton	0.0819188
ax	0.0817071
utensil	0.0811997
Hammer	0.0803662
clipboard	0.080114
shotgun	0.0799987
Hoe	0.0774958
sword	0.0755684
cane	0.0751574
hose	0.0733083
brush	0.0703488
pitchfork	0.0696735
bucket	0.0696513
flashlight	0.0691954
suitcase	0.0687972
racquet	0.0676694
pistol	0.0674683
"white flag"	0.0672963
"hockey stick"	0.0667777
rake	0.0663781
rifle	0.0656767
trowel	0.0636305
toothbrush	0.0632808
bottle	0.0632674
glove	0.062762
Spoon	0.0615872
crowbar	0.0615452
rod	0.0613793
hatchet	0.060773
pickax	0.060275
chainsaw	0.0601005
towel	0.0599164
axe	0.0597541
mallet	0.0593748
spear	0.0592439
pen	0.0591906
"two fingers"	0.0590695
truncheon	0.0589157
harpoon	0.0581373
fork	0.0581034
pencil	0.0578765
pipe	0.0575717
scalpel	0.0571284
parasol	0.0568211
"water bottle"	0.056552
candle	0.0563914
"sheet of paper"	0.0556185
chisel	0.0550993
musket	0.0547449
"chain saw"	0.0540498
fist	0.0537685
bronzeware	0.0537102
"slip of paper"	0.0534871
cudgel	0.0534749
scissors	0.0534674
pad	0.0534374
rope	0.0532171
"golf club"	0.0531426
"garden hose"	0.0530397
two-by-four	0.0527402
"coffee cup"	0.052658
"submachine gun"	0.0526133
rag	0.0525894
spade	0.0524117
Cigar	0.0522669
plunger	0.052215
saber	0.0521195
"tape recorder"	0.0519255
hat	0.0517515
sickle	0.051689
sponge	0.0516
paddle	0.0515686
putter	0.0515458
torch	0.0514995
"garbage can"	0.0514631
revolver	0.051236
blanket	0.0511991
lacquerware	0.0511957
"shopping bag"	0.0507407
"piece of paper"	0.0507335
"musical instrument"	0.0505644
furniture	0.0503514
handkerchief	0.0503223
nightstick	0.0500742
"grocery bag"	0.0497097
bleach	0.0494655
ornament	0.0494337
racket	0.0490683
"Union Jack"	0.0490029
"machine gun"	0.0489646
microphone	0.0489139
"walking stick"	0.0488388
mat	0.0486828
spatula	0.0485999
surfboard	0.0485035
razor	0.0482239
binocular	0.0482028
"water jug"	0.0482006
clicker	0.047859
mower	0.047783
wallet	0.0475401
tongs	0.0474832
"tennis racket"	0.0474481
"tree branch"	0.0472511
blade	0.0472384
mulch	0.0472025
Pottery	0.0471838
blower	0.0471257
placard	0.0471064
lollipop	0.0469762
"hunting knife"	0.0469672
"beach towel"	0.0468489
stopwatch	0.0468445
jewelry	0.0467562
scraper	0.0466617
needle	0.0464481
bayonet	0.0462386
brick	0.0462133
doll	0.0458823
lantern	0.0455828
tricycle	0.0454975
helmet	0.0454818
tractor	0.0452353
handgun	0.0451811
checkbook	0.0451536
roller	0.0450735
"two hands"	0.0450634
rug	0.0449676
"beer bottle"	0.0448911
briefcase	0.0446757
"steel wool"	0.0440965
"sawed-off shotgun"	0.0439572
contraption	0.0439295
"black flag"	0.0437655
wrench	0.0437296
"business card"	0.0436234
satchel	0.0436016
"trash can"	0.043471
glassware	0.0433454
pot	0.0432997
jug	0.0432008
cookware	0.04314
"putty knife"	0.0431082
"toilet paper"	0.0430956
thermometer	0.0430186
shard	0.0430011
pole	0.042947
holster	0.0428614
"pine cone"	0.0427461
diploma	0.0427457
"rocking chair"	0.0426712
marker	0.0425037
pillow	0.042394
walkie-talkie	0.0423004
tarpaulin	0.0421124
backhoe	0.0421109
luggage	0.0420844
"rolling pin"	0.04207
Sledgehammer	0.0420566
handbag	0.0417108
syringe	0.0416009
belonging	0.0415887
porcelain	0.0415486
sheaf	0.0414856
camcorder	0.0414725
"yellow flag"	0.0413555
tray	0.0412485
confetti	0.041207
"space heater"	0.041185
urn	0.0411676
"lawn mower"	0.0410694
laptop	0.0409912
gadget	0.0409874
"national flag"	0.0409082
"cutting board"	0.0408735
bicycle	0.0407691
vase	0.0407514
statuette	0.0407446
wheelbarrow	0.0407424
pompom	0.0407272
"automatic rifle"	0.0406827
umbrella	0.040672
mouse	0.0406624
tile	0.040546
puck	0.0405305
eyeglass	0.0404322
eraser	0.0403845
dagger	0.0403714
"index finger"	0.0403704
gourd	0.0401506
"toilet seat"	0.0400691
))
(broomstick (desc 3912.11) (sims
broom	0.120165
nightstick	0.0822479
screwdriver	0.079568
"tennis racket"	0.077116
racquet	0.0689813
"baseball bat"	0.0653558
jeepney	0.0638483
truncheon	0.063418
LOUIMA	0.0622206
machete	0.0589397
baton	0.0583535
sword	0.0566215
toothpick	0.0552808
"Abner Louima"	0.0531036
escalator	0.0501004
"golf club"	0.0495824
Sledgehammer	0.0494762
two-by-four	0.049149
trapeze	0.0490946
fibula	0.0477615
rectum	0.0477156
"little finger"	0.0466214
merry-go-round	0.0455586
"index finger"	0.0453104
ax	0.0451492
mallet	0.0450248
"leg bone"	0.0444869
pinkie	0.0444321
soapbox	0.0443924
flashlight	0.0443459
sled	0.0440021
"city bus"	0.0438424
"shoulder blade"	0.0437838
insertion	0.0431362
paintbrush	0.0428513
tricolor	0.0426681
parasol	0.0425639
"fishing rod"	0.0424132
Pinky	0.0419784
sleigh	0.0416947
"lawn mower"	0.0412033
"fly rod"	0.0411742
bayonet	0.0411213
snorkel	0.0410205
Minnie	0.0401178
))
(Brosius (desc 8043.7) (sims
"Scott Brosius"	0.344309
"Tino Martinez"	0.23626
"Jorge Posada"	0.235467
Knoblauch	0.224867
Ledee	0.215052
"Paul O'Neill"	0.214439
Jeter	0.208195
Olerud	0.202734
"Bernie Williams"	0.198358
"Chuck Knoblauch"	0.194534
Alfonzo	0.190158
Leyritz	0.185593
"Derek Jeter"	0.179237
O'Neill	0.178975
"Luis Sojo"	0.175628
Segui	0.170585
Zeile	0.170196
"Chad Curtis"	0.169762
"Chili Davis"	0.16912
Posada	0.167429
"Troy Glaus"	0.166332
Palmeiro	0.165749
Glaus	0.164076
"Chipper Jones"	0.163086
Bordick	0.162243
Garciaparra	0.160444
Beltre	0.15963
Abreu	0.159329
"Shane Spencer"	0.158663
"David Bell"	0.158569
Rolen	0.15774
Spencer	0.155597
Ordonez	0.153535
Agbayani	0.153143
"Jim Leyritz"	0.151312
Alomar	0.15036
Gant	0.150162
Karros	0.149069
Alicea	0.148427
"Robin Ventura"	0.148141
"Mark Kotsay"	0.147704
Valentin	0.147649
Girardi	0.144591
"Ken Caminiti"	0.144404
"Scott Rolen"	0.144145
"Ricky Ledee"	0.144131
Caminiti	0.143377
"Matt Williams"	0.14183
Curtis	0.141765
Fullmer	0.141116
"Edgardo Alfonzo"	0.139201
Erstad	0.139092
Castilla	0.138615
"Matt Lawton"	0.137918
Thome	0.137797
Higginson	0.137572
Cirillo	0.137177
Buhner	0.136792
Vaughn	0.135974
"Clay Bellinger"	0.135846
Canseco	0.135568
"Darin Erstad"	0.135529
"John Olerud"	0.135479
Raines	0.135357
Sojo	0.135049
Surhoff	0.134889
"Matt Stairs"	0.134298
"John Valentin"	0.133641
"Bill Mueller"	0.132772
Velarde	0.132573
Grudzielanek	0.132368
Renteria	0.13199
Hundley	0.131629
"Jay Bell"	0.131159
"Adrian Beltre"	0.131039
Bagwell	0.130999
Martinez	0.130913
"Gerald Williams"	0.130845
"Kevin Young"	0.13082
"Phil Nevin"	0.130589
Burnitz	0.130414
"Joe Girardi"	0.130388
"Todd Zeile"	0.130242
"Mike Lowell"	0.12983
"Tim Raines"	0.129735
Varitek	0.128863
Baerga	0.128256
"Cristian Guzman"	0.1281
Nevin	0.127789
Biggio	0.127592
Randa	0.127406
Tatis	0.127353
Lankford	0.126777
Vidro	0.126719
Delgado	0.126556
Cedeno	0.126053
"Pat Burrell"	0.124686
"Alex Rodriguez"	0.124652
Piazza	0.123862
"Henry Rodriguez"	0.123711
"Jose Hernandez"	0.123543
"Bill Spiers"	0.123492
"Matt Franco"	0.123481
Galarraga	0.123245
Burks	0.122963
"Damian Miller"	0.122962
Daubach	0.122869
Larkin	0.122837
"Bobby Abreu"	0.122714
"Joe Randa"	0.12253
"Mark Loretta"	0.122529
"Travis Fryman"	0.12209
"Andruw Jones"	0.122054
Ramirez	0.122013
DeShields	0.121616
"Darren Lewis"	0.121194
Rodriguez	0.120953
"Kenny Lofton"	0.120716
Fryman	0.12027
Elster	0.119857
"Jose Offerman"	0.119797
"Eric Karros"	0.119773
McRae	0.119579
Giambi	0.119314
"Russ Johnson"	0.119053
Beltran	0.117737
Lofton	0.11765
Griffey	0.117619
"Charlie Hayes"	0.11759
"Ryan Klesko"	0.117299
"Dean Palmer"	0.117043
"Todd Hundley"	0.116944
Boone	0.116839
Sosa	0.116675
"Brian Jordan"	0.116658
"Devon White"	0.116607
"Ray Durham"	0.116412
Helton	0.116179
"Jeff Conine"	0.116176
Mondesi	0.116051
"Jim Thome"	0.115979
"Gary Sheffield"	0.115948
Dunston	0.115878
"Ron Coomer"	0.115814
Baines	0.115416
"Brian Giles"	0.115222
Spiers	0.114999
"Derek Bell"	0.114983
McGwire	0.114844
"Geoff Jenkins"	0.114562
Gonzalez	0.114435
"Dave Hansen"	0.114339
"Ozzie Guillen"	0.114254
Womack	0.114249
Klesko	0.114093
Offerman	0.114075
"Jason Giambi"	0.113938
Pettitte	0.113904
Hatteberg	0.113809
"Jose Guillen"	0.113753
"Vladimir Guerrero"	0.113739
"Glenallen Hill"	0.113722
"Nomar Garciaparra"	0.113708
Lieberthal	0.113629
"Manny Ramirez"	0.113198
Brogna	0.11308
Huskey	0.112742
Hidalgo	0.112711
Everett	0.112515
"Mike Piazza"	0.112514
"Marvin Benard"	0.112323
"Mike Lamb"	0.112223
"John Vander Wal"	0.112148
"Jeff Bagwell"	0.11206
McLemore	0.111949
"Juan Gonzalez"	0.111388
"Rondell White"	0.111098
Ripken	0.110839
"Jay Payton"	0.110823
"Eric Chavez"	0.110762
"Jeff Kent"	0.110664
Aurilia	0.110595
"Paul Konerko"	0.110347
"Todd Pratt"	0.110333
"Chris Widger"	0.110162
Vizquel	0.109704
"Scott Spiezio"	0.109666
"Cliff Floyd"	0.109595
"Jose Vizcaino"	0.109531
McGriff	0.109504
"Kevin Jordan"	0.10929
O'Leary	0.109243
"Bengie Molina"	0.108948
"Darryl Strawberry"	0.108558
"Tom Goodwin"	0.108465
"Sandy Alomar"	0.108408
"Michael Tucker"	0.108268
Sexson	0.108155
Frye	0.108138
"Alex Gonzalez"	0.108032
"Russ Davis"	0.107959
Alou	0.107952
"Todd Walker"	0.10794
"Mark Grace"	0.107727
Gilkey	0.107697
"Neifi Perez"	0.107647
"Garret Anderson"	0.107477
"Tim Bogar"	0.107278
Veras	0.106975
"Javy Lopez"	0.106771
"Tony Batista"	0.106717
"Damian Jackson"	0.106547
"Joe McEwing"	0.105978
"Jim Edmonds"	0.105943
"Tim Salmon"	0.105851
"Carlos Lee"	0.105778
"Richie Sexson"	0.105739
"Jeff Cirillo"	0.105718
"Enrique Wilson"	0.105692
Mabry	0.105663
"Preston Wilson"	0.105424
Bonilla	0.105227
"Bret Boone"	0.104764
grieve	0.104698
Cordero	0.104483
"Todd Helton"	0.104277
Kapler	0.104205
"Corey Koskie"	0.104099
Bergeron	0.10371
Clayton	0.103339
"Ruben Rivera"	0.103278
Konerko	0.103148
Gwynn	0.102905
"Luis Alicea"	0.102872
Sprague	0.102868
Hernandez	0.102767
"Gabe Kapler"	0.10243
"Trot Nixon"	0.102403
"David Segui"	0.102386
"Deivi Cruz"	0.102196
"Eric Young"	0.101996
"Ivan Rodriguez"	0.101863
"Will Clark"	0.101762
Cabrera	0.101727
"Bruce Aven"	0.101694
"Mark McLemore"	0.101579
"Mark Grudzielanek"	0.101417
"Keith Lockhart"	0.101257
"Ron Gant"	0.101251
Sheffield	0.10122
"Vinny Castilla"	0.101047
"Brian Hunter"	0.101034
"Jason Varitek"	0.10086
"Barry Bonds"	0.100753
Hollandsworth	0.100734
"Rickey Henderson"	0.100672
Hollins	0.100559
"Luis Lopez"	0.100142
"Barry Larkin"	0.100055
))
(Brosnan (desc 1226.56) (sims
Groening	0.124158
"Pierce Brosnan"	0.122942
Darnell	0.114028
Andreessen	0.114012
Benigni	0.113878
Solondz	0.102341
Snipes	0.0981999
Duchovny	0.0980555
Guralnick	0.0974406
Schoenfeld	0.092324
Baugh	0.0879584
Deneuve	0.0879033
Leigh	0.0872135
LaBute	0.0859651
Winkler	0.0845307
Gielgud	0.0841169
Alexie	0.0838284
Heche	0.083808
Gooding	0.0837724
Affleck	0.0835013
Rowan	0.0807862
Figgis	0.0800425
Moser	0.0795239
Felton	0.0794003
Cleese	0.0791909
Naumann	0.0782446
Soderbergh	0.0779127
Stillman	0.0775265
Monahan	0.0769853
Broderick	0.0765104
Sather	0.0750675
Rudenstine	0.0748847
Wildhorn	0.0741436
Frankenheimer	0.0736737
swank	0.0733667
Sills	0.0722804
Halberstam	0.0717777
Zucker	0.0716392
Farnsworth	0.0715671
Andreychuk	0.0714712
Hamlin	0.0712555
Braugher	0.0708272
Crowe	0.0705858
Summitt	0.0705253
Jamison	0.0696293
Edelstein	0.0690016
Vogel	0.0689686
Deane	0.0682148
Clooney	0.0672972
Vaughan	0.0668832
Chappell	0.0668058
Stricker	0.0666626
Paxton	0.0657556
Costner	0.0654899
REEVE	0.0652918
"Sally Field"	0.0648849
Lowery	0.0648235
Diggs	0.0645821
Pearce	0.0644947
Triplett	0.0644051
Romar	0.0642176
Machado	0.0641638
Milbury	0.0641592
McGregor	0.0641471
Tucci	0.0636711
Gravano	0.0635838
Royce	0.0632731
Popovich	0.0624864
Holley	0.062469
Swenson	0.0624668
Parrott	0.0622864
Konstantinov	0.0622373
McKenzie	0.062054
Sheehan	0.0617077
Schuerholz	0.0616119
Paltrow	0.0615704
"David Spade"	0.0615245
Lindbergh	0.0607192
Britton	0.0601999
Wagoner	0.059971
Appleby	0.0599684
Janice	0.0596041
Downey	0.0592517
Eastwood	0.0592293
Coppola	0.0591455
Flanagan	0.0590986
Chrissie	0.0590142
Gilligan	0.0588681
Arron	0.0588146
Boller	0.0587528
Valenti	0.0586401
Keady	0.0586147
Crocker	0.0583955
Zhong	0.0583578
Krzyzewski	0.0581503
"Hilary Swank"	0.0581468
Matthau	0.0580445
Redford	0.0578839
"Scarlet Knights"	0.0578363
Piot	0.0577384
Dwyer	0.0576924
Guan	0.0576415
Reinhardt	0.0573771
Carrey	0.0572732
"Martin Lawrence"	0.0568964
Singson	0.0567949
Murad	0.0567689
Lange	0.0566736
"Henry Fonda"	0.0565982
Krugman	0.0564584
Perisho	0.0564437
Troussier	0.0564201
Matasareanu	0.0562463
Blume	0.0562009
Rowley	0.0561641
nix	0.0561523
Sobel	0.056082
Zellweger	0.0559805
Tomlin	0.055787
Kurtz	0.0557499
Jorgensen	0.0557135
Dragila	0.055646
Hawthorn	0.0549644
Babcock	0.0548115
Cusack	0.0547064
Hobson	0.0545178
Ulrich	0.0544551
Isakson	0.0543477
Muckler	0.054337
Bassett	0.0543192
Gossage	0.0541914
"Kate Winslet"	0.0541262
Grossman	0.0539988
"Christopher Reeve"	0.0539203
Dion	0.0534626
"Rupert Everett"	0.0533933
Betts	0.0533389
Shula	0.0533103
Doan	0.0531112
BRIER	0.0529225
Habib	0.0528841
Grammer	0.0528499
Isner	0.0527844
Gainey	0.052738
Tanaka	0.0526948
Okada	0.0526669
Hadley	0.0525331
Braswell	0.0525233
McCormack	0.0525213
Hightower	0.0524285
Ganassi	0.052397
Grimes	0.0523493
Hamill	0.0523322
Calvary	0.0522893
Maguire	0.0522038
LANIER	0.0519777
Slocum	0.0518273
"Tim Robbins"	0.0517877
Smiley	0.0516093
LaPierre	0.0515843
Baumhammers	0.0514884
Jolie	0.0513456
"Jamie Lee Curtis"	0.0513272
Weil	0.0512575
Rove	0.0511307
Biggs	0.0511255
Dennehy	0.0510335
"Kevin Kline"	0.050964
Kerrigan	0.0508897
Bustamante	0.0508882
Duchesne	0.050851
Fulmer	0.0508041
Gervin	0.0507823
Roberson	0.0507603
Ruehe	0.0507309
Langham	0.0505661
Stackhouse	0.0503962
Pfeiffer	0.050394
McKellen	0.0503872
Zuckerman	0.0503616
Lyman	0.0503043
Abernathy	0.0502463
Regis	0.0500733
Erving	0.0499797
Henley	0.0499777
Waddell	0.0499676
Heinrichs	0.0498547
Richards	0.0498509
Suarez	0.0497212
Allende	0.0495572
Spacey	0.0495523
Scruggs	0.0494925
Chastain	0.049457
Hahn	0.0493758
Hagel	0.049263
Winfrey	0.0492537
Barrie	0.0492537
Stahl	0.0491375
Miriam	0.0491338
Upshaw	0.0490404
))
(broth (desc 19537.8) (sims
"chicken broth"	0.290951
sauce	0.26292
"chicken stock"	0.246736
Liquid	0.218915
soup	0.216092
puree	0.211727
juice	0.20984
vinegar	0.200608
"soy sauce"	0.198174
"tomato sauce"	0.195407
mayonnaise	0.193769
"olive oil"	0.189003
"lemon juice"	0.182686
syrup	0.179745
marinade	0.178928
"coconut milk"	0.17826
butter	0.176097
"beef broth"	0.175708
cream	0.169021
stew	0.167404
vinaigrette	0.166407
mixture	0.166081
"tomato paste"	0.165656
"orange juice"	0.16355
"white wine"	0.163015
onion	0.161461
"heavy cream"	0.161216
"lime juice"	0.160822
"brown sugar"	0.160667
buttermilk	0.157092
gravy	0.155378
milk	0.155159
"egg yolk"	0.15343
flour	0.153133
Garlic	0.152031
mustard	0.151826
"beef stock"	0.151361
"tomato juice"	0.150898
half-and-half	0.150165
"evaporated milk"	0.148721
sugar	0.147638
"peanut oil"	0.147531
cider	0.146833
"vegetable oil"	0.145871
tomato	0.145831
paste	0.14532
pasta	0.142681
yogurt	0.142623
salad	0.142179
cheese	0.140646
potato	0.13914
"sour cream"	0.138783
bean	0.13873
noodle	0.136125
shallot	0.134491
"red wine"	0.13384
dressing	0.133763
salsa	0.133652
bouillon	0.132258
chutney	0.131525
custard	0.130268
mushroom	0.130008
sausage	0.129048
cornstarch	0.128857
salt	0.127296
parsley	0.127229
seasoning	0.126967
"sesame oil"	0.125615
"bay leaf"	0.125245
Basil	0.124809
vegetable	0.124334
cabbage	0.124207
risotto	0.124052
cornmeal	0.122443
pepper	0.122418
sherry	0.121014
spaghetti	0.120144
Chickpea	0.120129
pesto	0.119888
lentil	0.119378
scallion	0.119052
"green onion"	0.118797
confit	0.118194
Chili	0.117712
chicken	0.117109
eggplant	0.117056
"pineapple juice"	0.117055
honey	0.116772
spinach	0.1165
margarine	0.116462
"whipping cream"	0.115432
crumb	0.115377
polenta	0.115007
ragout	0.11485
pea	0.114724
ketchup	0.11425
bread	0.114127
chilies	0.113992
jelly	0.113898
wine	0.11306
"Worcestershire sauce"	0.112956
cilantro	0.1117
shrimp	0.111697
chiles	0.111443
"egg white"	0.111291
"cider vinegar"	0.109609
meatball	0.109553
"bell pepper"	0.109478
thyme	0.109467
leek	0.109441
chowder	0.109401
Casserole	0.109042
raisin	0.108882
"chili powder"	0.108851
rum	0.108846
carrot	0.108838
"barbecue sauce"	0.108225
"black bean"	0.107737
lettuce	0.107194
herb	0.106365
"bean sprout"	0.106085
egg	0.106
Broccoli	0.10587
"fruit juice"	0.105869
dish	0.105806
cucumber	0.105698
molasses	0.105536
meat	0.105511
"cottage cheese"	0.105415
"green bean"	0.105314
spice	0.10485
horseradish	0.104437
celery	0.104232
porridge	0.104098
"hoisin sauce"	0.103751
olive	0.103566
"corn syrup"	0.103106
"chili sauce"	0.102211
flake	0.101778
liqueur	0.101448
pork	0.101309
rice	0.100862
Pudding	0.10069
"peanut butter"	0.100648
ginger	0.0999188
squash	0.0995751
"wine vinegar"	0.0995158
chocolate	0.0990466
yolk	0.0990035
"curry powder"	0.0984993
powder	0.0980842
oil	0.0978375
"green pepper"	0.0975377
shortening	0.0973294
ricotta	0.0963239
asparagus	0.096184
"red pepper"	0.0960791
dumpling	0.0952754
pineapple	0.0950397
mussel	0.0949997
vanilla	0.0949261
tahini	0.0946236
zucchini	0.0943033
"ice cream"	0.0942456
vermouth	0.0942281
"goat cheese"	0.094221
fat	0.0938838
marmalade	0.0937514
"pine nut"	0.0934922
"apple juice"	0.092605
cauliflower	0.0925089
breadcrumb	0.0924193
gelatin	0.0920049
"salad dressing"	0.09197
"potato salad"	0.0918343
bacon	0.0910716
peppercorn	0.0910322
macaroni	0.0905079
fennel	0.0904787
"lemon zest"	0.0899081
oregano	0.0896677
curry	0.0896169
cake	0.0894974
clam	0.0894545
ingredient	0.0893577
Calvados	0.0893401
gratin	0.0893162
lemon	0.0891157
"spaghetti sauce"	0.0888934
coconut	0.0885837
biscuit	0.0885218
"skim milk"	0.0885139
peanut	0.0881681
pilaf	0.0876154
bulgur	0.0873945
"white rice"	0.0873155
mint	0.0872462
cumin	0.0869865
applesauce	0.0867065
fraiche	0.0866609
))
(brothel (desc 14546.1) (sims
parlor	0.112783
bordello	0.0968286
discotheque	0.0958304
"dance hall"	0.0930799
"liquor store"	0.0856961
nightclub	0.0850259
"beauty salon"	0.0837026
restaurant	0.0831251
bakery	0.0830501
tavern	0.0821066
saloon	0.0819646
pub	0.0806829
shop	0.0806626
"art gallery"	0.080548
speakeasy	0.0798444
cafe	0.0788681
"tea house"	0.0782216
"coffee shop"	0.0768955
eateries	0.0763804
"clothing store"	0.0759136
"concentration camp"	0.0734389
"convenience store"	0.0733286
hotel	0.072044
teahouse	0.0715547
orphanage	0.0712351
Casino	0.0711455
"boarding house"	0.0700805
"prison camp"	0.0696817
motel	0.0693776
"machine shop"	0.0692839
"internment camp"	0.0691105
Pharmacy	0.0689977
salon	0.0688285
"jewelry store"	0.0688276
"grocery store"	0.0687088
bookstore	0.0680823
drugstore	0.0678397
"general store"	0.0672207
Bathhouse	0.0669122
delicatessen	0.0667067
prostitution	0.0649958
"service station"	0.0645569
"gas station"	0.0639329
"department store"	0.0639093
"gift shop"	0.063863
pizzeria	0.0634436
"travel agency"	0.0633706
"beauty parlor"	0.0625251
"abortion clinic"	0.0620215
nightspots	0.0618333
boutique	0.0614303
arcade	0.0612931
"bowling alley"	0.0609418
coffeehouse	0.0609155
sawmill	0.0606537
apartment	0.0605362
clinic	0.0604068
disco	0.060317
deli	0.0602027
"movie theater"	0.0600898
"shopping mall"	0.0598479
"movie house"	0.0596421
"funeral home"	0.0591693
dealership	0.0591436
"hardware store"	0.0588887
"shopping center"	0.0584544
"employment agency"	0.0584163
mortuary	0.058239
consulate	0.0581304
"police station"	0.0576229
winery	0.0571849
"place of worship"	0.0570742
"red-light district"	0.0570149
"field hospital"	0.0570002
cemetery	0.0555433
inn	0.0553819
"day care center"	0.0552611
slaughterhouse	0.0551431
"recording studio"	0.0551295
nursery	0.0548174
Steakhouse	0.054489
barbershop	0.0543285
"mental institution"	0.0541811
bistro	0.0541696
"gambling casino"	0.0537802
"game room"	0.0537117
supermarket	0.0535045
"mental hospital"	0.0532549
shelter	0.0531029
"wine cellar"	0.0528256
"branch office"	0.0527825
"hotel room"	0.0527417
"shoe store"	0.0524601
mosque	0.0522836
"dining room"	0.0520645
morgue	0.0519908
sweatshop	0.0519703
Warehouse	0.0519322
"toy store"	0.0518523
"command post"	0.0518521
landfill	0.0516888
"tourist hotel"	0.0514796
gym	0.0512603
slum	0.0512457
mill	0.0511501
SPA	0.0510371
"work camp"	0.051018
"amusement park"	0.0509943
"nursing home"	0.0508348
"rooming house"	0.0508324
ballroom	0.0508198
ranch	0.0507823
kiosk	0.0507793
lounge	0.0503881
"building site"	0.050347
cafeteria	0.050175
"manufacturing plant"	0.0501109
"office building"	0.0501078
armory	0.0497319
synagogue	0.0495113
"community center"	0.0494943
junkyard	0.0493819
Brasserie	0.0493787
"radio station"	0.0492376
"law practice"	0.049217
brewery	0.0490488
showroom	0.0490185
"elementary school"	0.0489172
"emergency room"	0.048899
condo	0.0488417
laboratory	0.0486743
lab	0.0485991
"slot machine"	0.0485522
mall	0.0485285
"polling station"	0.048329
"textile mill"	0.0482692
"post office"	0.0482643
"Catholic school"	0.0481712
"steel mill"	0.0481231
"railroad station"	0.0480795
prostitute	0.0480113
distillery	0.0479247
pawnshop	0.0476309
outlet	0.0473433
"repair shop"	0.0472033
library	0.047146
resort	0.046804
cinema	0.0467865
spas	0.0465725
smelter	0.0465295
barrack	0.0465164
"filling station"	0.0465031
"swimming pool"	0.0464802
"dry cleaner"	0.0464255
depot	0.0463604
"business establishment"	0.0462687
zoo	0.0462673
bookshop	0.0460483
"theme park"	0.0460416
riverboats	0.0460216
sanctuary	0.0457157
diner	0.045628
"firing range"	0.0454859
gambling	0.0454348
palace	0.0452134
"retail store"	0.0450024
"B&AMP;B"	0.0449876
"Olympic Village"	0.0449569
plantation	0.0446058
"military post"	0.0445497
dealerships	0.0445311
hideout	0.0442843
refinery	0.0442313
"apartment building"	0.0442309
Monastery	0.0440728
ghetto	0.043967
"TV station"	0.0439539
hangout	0.04395
mansion	0.0439205
"soup kitchen"	0.0439153
"polling place"	0.0438993
"electronics company"	0.043846
garage	0.043774
pimp	0.0436107
nightspot	0.0435566
dealer	0.0434747
centre	0.0434613
dormitory	0.0433987
"Medicare HMO"	0.0433567
residence	0.0433143
"psychiatric hospital"	0.0432731
"shipping company"	0.0431505
underworld	0.0431354
Consulate-General	0.0430804
racetrack	0.0430615
aquarium	0.0429273
crematorium	0.0428436
bureaus	0.0428111
condominium	0.042779
madam	0.0427469
))
(brother (desc 178229) (sims
son	0.265352
husband	0.216337
father	0.203391
sister	0.175271
mother	0.15899
daughter	0.155579
wife	0.153655
uncle	0.153559
friend	0.147361
cousin	0.147265
boy	0.13596
nephew	0.134871
parent	0.133609
sibling	0.129094
child	0.125406
dad	0.123444
man	0.122987
family	0.122158
grandson	0.121592
grandfather	0.120837
girl	0.113109
boyfriend	0.110241
relative	0.10935
"family member"	0.108014
aunt	0.106002
girlfriend	0.10366
kid	0.102931
grandmother	0.102362
she	0.0991702
"best friend"	0.0954999
woman	0.0953643
guy	0.0946426
niece	0.093317
mom	0.0931632
John	0.0929092
Michael	0.0915398
him	0.0914037
half-brother	0.0904017
grandchildren	0.0898517
people	0.0895139
"loved one"	0.0889062
buddy	0.0888512
neighbor	0.0880694
king	0.0868737
me	0.0866144
her	0.0862328
baby	0.086139
David	0.085984
you	0.0859424
he	0.0858444
grandparent	0.0856304
granddaughter	0.0854626
victim	0.0851368
person	0.0843688
"young man"	0.0841094
colleague	0.0839925
student	0.0828236
classmate	0.0828234
widow	0.082175
lawyer	0.0816232
spouse	0.0812837
brother-in-law	0.0810205
someone	0.080745
member	0.0806473
soldier	0.0802956
officer	0.0802171
twin	0.0800219
couple	0.0799165
teacher	0.0796451
priest	0.0792437
President	0.0790816
roommate	0.0789107
teen-ager	0.0787852
Kennedy	0.0786502
businessman	0.0784033
exwife	0.0779945
Robert	0.0776477
Prince	0.07759
Joe	0.0775479
defendant	0.0774666
doctor	0.0769418
suspect	0.0764879
leader	0.0764233
hero	0.0759821
who	0.0757422
coach	0.0752247
owner	0.0751352
character	0.0750419
lover	0.0749849
Bos	0.0748545
politician	0.0740149
dog	0.0737709
inmate	0.0737334
partner	0.0737067
Lewis	0.0731203
"young woman"	0.0729753
driver	0.0727505
"police officer"	0.0726056
Richard	0.0725873
actor	0.0724671
fiance	0.07223
associate	0.0720248
George	0.0719858
others	0.0718837
player	0.0718091
James	0.0717029
"black man"	0.071143
smith	0.0710198
companion	0.070735
agent	0.0705425
Johnson	0.0704851
client	0.0701591
American	0.0700789
them	0.070047
Paul	0.0700364
Mayor	0.0697029
Jones	0.0695174
mike	0.0693656
Clinton	0.0692383
Killer	0.0691374
teammate	0.0690518
"little girl"	0.0690253
stepfather	0.068675
Thomas	0.0685649
teenager	0.0685616
William	0.0685278
Charles	0.0685138
athlete	0.0682198
tom	0.0678782
co-worker	0.0677837
group	0.0677273
Peter	0.0674964
PAL	0.0674234
writer	0.0673026
veteran	0.0671675
supporter	0.0671145
sister-in-law	0.067053
activist	0.0669786
Governor	0.0669582
mother-in-law	0.0667639
Attorney	0.0667509
fan	0.0664918
senator	0.0663811
lady	0.0662337
I	0.0662315
nun	0.0661188
Frank	0.0659183
comrade	0.0657336
aide	0.0657158
anyone	0.0656616
Cop	0.065592
Hussein	0.0654675
Williams	0.065385
journalist	0.0653158
executive	0.0651466
Bobby	0.0651365
pilot	0.0649981
martin	0.0649752
official	0.0649509
manager	0.0648555
citizen	0.0645138
youth	0.0644871
one	0.0644867
employee	0.0644325
fiancee	0.0641881
infant	0.0641008
Bush	0.0640685
Davis	0.0638225
ally	0.0637689
individual	0.0637321
somebody	0.0636278
Matthew	0.0635031
Joseph	0.0634509
youngster	0.0633418
prisoner	0.0633342
Elian	0.0630981
policeman	0.0630713
Jim	0.0630424
adult	0.0628723
Harris	0.0628184
everyone	0.0627636
Miller	0.062681
those	0.0626421
everybody	0.0626007
resident	0.0624685
team	0.0624371
Stewart	0.0624342
patient	0.0623729
"little boy"	0.0623158
stranger	0.0622138
author	0.0621419
artist	0.0621239
minister	0.0619809
Diana	0.0618882
himself	0.0616506
two	0.0615217
jack	0.061417
Jew	0.0614035
musician	0.0613792
"white man"	0.0613154
))
(brother-in-law (desc 12683.2) (sims
sister-in-law	0.109258
niece	0.104266
nephew	0.104082
uncle	0.103825
mother-in-law	0.098568
aunt	0.0965192
son-in-law	0.0938087
father-in-law	0.0935982
cousin	0.0917705
fiance	0.0904051
in-law	0.0858823
brother	0.0810205
stepfather	0.0798056
stepdaughter	0.0796641
great-aunt	0.0786263
husband	0.0773498
daughter-in-law	0.0764353
sister	0.0750577
granddaughter	0.0749552
exwife	0.0749003
boyfriend	0.0747015
grandson	0.0745197
fiancee	0.0724172
grandfather	0.0723581
widow	0.0687022
girlfriend	0.0676863
"family member"	0.0674286
confidant	0.0666453
half-brother	0.0651382
"Marisleysis Gonzalez"	0.0646432
relative	0.0642339
roommate	0.0638599
ex-husband	0.0626323
grandmother	0.0620679
schoolmate	0.0617964
stepson	0.0615953
bodyguard	0.0605011
acquaintance	0.059695
stepbrother	0.0593322
grandparent	0.058571
spouse	0.0582784
great-uncle	0.058049
mistress	0.0569342
stepchildren	0.0568106
businessman	0.0563831
co-defendant	0.0560712
chauffeur	0.0557958
ex-girlfriend	0.0554723
"church member"	0.0554143
"Ruiz Massieu"	0.0553502
"Lazaro Gonzalez"	0.0546746
grandchildren	0.0545815
Krajisnik	0.0541033
"George Speight"	0.0538523
aide	0.0537274
dad	0.0524154
"best friend"	0.0519182
serviceman	0.0517362
sibling	0.0517166
Lowery	0.0516925
"army officer"	0.0516445
"police sergeant"	0.0515621
"half sister"	0.0515033
"school principal"	0.0514562
Jim	0.0508541
exboyfriend	0.0506109
lover	0.0505884
companion	0.0505429
"Edward Kennedy"	0.0502964
breadwinner	0.0498112
Faget	0.0498035
Kristin	0.0496264
"first cousin"	0.0495233
stepmother	0.0493904
"cabinet minister"	0.0491916
"Nicole Brown Simpson"	0.0491136
Brunner	0.0489955
Rao	0.0489852
sweetheart	0.0489443
"Jacqueline Kennedy Onassis"	0.0488276
Evan	0.0487474
John	0.0486759
Janice	0.0485236
firefighter	0.048494
Wilkerson	0.048388
publicist	0.0483752
Mullins	0.0478796
policeman	0.0478726
chieftain	0.0478137
Steven	0.0476616
"King Hassan II"	0.0476349
"law partner"	0.047589
"military officer"	0.0475216
classmate	0.0474008
Shannon	0.0471829
"white woman"	0.0468755
grandpa	0.0468154
Lieutenant	0.0467592
Nugent	0.0467215
housemate	0.0466261
teen	0.0466069
co-worker	0.0464584
Gangelhoff	0.0463499
Sergeant	0.0461546
Odai	0.0461217
Margaret	0.0460891
Yoo	0.046085
"white man"	0.0460666
grandma	0.0460212
Meeks	0.0459351
James	0.0458393
schoolteacher	0.0457651
"deputy sheriff"	0.0457031
rabbi	0.0457015
Debbie	0.0456803
Gotti	0.0454341
"Azem Hajdari"	0.0454214
"state senator"	0.0453862
crony	0.0453413
"Michael Skakel"	0.0452991
heir	0.0452511
widower	0.0451455
Lazaro	0.0450885
nance	0.0450762
"Robert F. Kennedy"	0.0449075
David	0.0447824
nun	0.0445416
"Edwin Edwards"	0.0443564
accomplice	0.0443171
staffer	0.0442666
Josh	0.0441024
housekeeper	0.0440877
"prison guard"	0.0439453
collaborator	0.0438912
"extended family"	0.0438855
mom	0.0437
fireman	0.043544
"little sister"	0.0434563
Contreras	0.0432641
Bos	0.0432579
priest	0.0432533
"second person"	0.0432341
"intelligence officer"	0.0432188
Kin	0.0431875
Susan	0.0431599
"Linda Tripp"	0.0431553
tom	0.0431538
Richard	0.043119
accountant	0.043016
Tuinei	0.0429537
"John Jr."	0.0428359
"second cousin"	0.0427825
"newspaper editor"	0.0427761
Yoon	0.0425764
Demps	0.04246
Kennedy	0.0423676
pastor	0.0423059
"staff member"	0.0422715
grandchild	0.0422234
confidante	0.0421875
Robert	0.042185
Fagan	0.0420472
Beatle	0.0420331
Louis	0.0420212
"Princess Diana"	0.0419692
Anthony	0.0419541
Burke	0.041947
Craig	0.0418956
buddy	0.041851
Stephanie	0.0418444
Caroline	0.0418338
Arthur	0.041735
Barbara	0.0416596
Dorothy	0.0416278
Edward	0.0416082
William	0.0414567
"murder suspect"	0.0413888
passerby	0.0413522
stuntman	0.04132
"Silvio Berlusconi"	0.0412706
Peter	0.041268
bookkeeper	0.041235
Peng	0.0411458
Jelisic	0.0410741
underling	0.0409651
Bennett	0.0409562
Daniel	0.0409369
stockbroker	0.0408855
Karen	0.0407969
Industrialist	0.0407117
"press secretary"	0.0406183
Nancy	0.0405786
ANN	0.0405272
playmate	0.0404888
militiaman	0.0404597
sitter	0.0404557
Alan	0.0404293
Mohamed	0.0403582
Boyd	0.0403571
"air force officer"	0.0403565
))
(brotherhood (desc 11982) (sims
Amity	0.130453
solidarity	0.127261
neighborliness	0.111824
cordiality	0.111471
unity	0.10904
friendship	0.105275
equality	0.100338
good-neighborliness	0.0976698
coexistence	0.0965065
togetherness	0.0948958
fraternity	0.0941064
reconciliation	0.09408
harmony	0.0924435
nonviolence	0.0916167
kinship	0.0884129
goodwill	0.0880706
compassion	0.0841583
"mutual understanding"	0.0831726
conciliation	0.0831297
tolerance	0.0824935
"Orange Order"	0.0816135
cohesion	0.079976
teamwork	0.076663
"Muslim Brotherhood"	0.076224
camaraderie	0.0755755
trust	0.0754424
peace	0.0751248
patriotism	0.0749774
inclusiveness	0.0746967
interdependence	0.0738055
"good will"	0.0713924
self-reliance	0.0690351
oneness	0.0686427
Openness	0.0679493
forgiveness	0.067571
understanding	0.0668904
cohesiveness	0.0657663
partnership	0.0656254
good-neighborly	0.0644784
integration	0.0643912
sect	0.0637415
"Islamic Jihad"	0.0634084
decency	0.0632949
healing	0.0624755
"rule of law"	0.0612889
tranquillity	0.0611448
democracy	0.0608852
IPU	0.0597785
"Log Cabin Republicans"	0.0597645
tranquility	0.0597621
stability	0.0589881
Jihad	0.0587444
civility	0.0586539
MKO	0.0583537
Amal	0.0576745
nationalism	0.0573134
closeness	0.0571964
sharing	0.0568719
self-sacrifice	0.0568491
noninterference	0.0568375
sincerity	0.0560073
morality	0.0558477
pluralism	0.0556458
rapprochement	0.0551808
"Operation Rescue"	0.0547572
diversity	0.0546878
kindness	0.0545272
neutrality	0.054375
empowerment	0.054065
faith	0.054033
unification	0.0539158
loyalty	0.0537191
humanity	0.053522
PATA	0.0530481
Otpor	0.0529887
"civic duty"	0.0529342
individualism	0.0525955
"parliamentary democracy"	0.0524842
"Armed Islamic Group"	0.0524781
Orangemen	0.0523562
dignity	0.052295
happiness	0.0521882
hatred	0.0520577
sanctity	0.0520187
PECC	0.0519422
comity	0.0518838
intimacy	0.0517612
"Aum Shinrikyo"	0.0517228
dialog	0.051711
reciprocity	0.0517044
gratitude	0.0516841
bipartisanship	0.0516599
Fatah	0.0511678
continuity	0.0510659
contentment	0.0509924
Hamas	0.0509844
"collective security"	0.0508263
"free trade"	0.0508141
Liberty	0.0505174
sportsmanship	0.0504639
prosperity	0.0502126
frankness	0.0499679
integrity	0.0499395
"Congress Party"	0.0499123
fairness	0.0499002
marcher	0.0498848
"reform movement"	0.0497809
"Nahdlatul Ulama"	0.0497751
"Real IRA"	0.0496662
consensus	0.0495389
nobility	0.0495279
"religious order"	0.0493287
"human right"	0.0492234
"Falun Gong"	0.0490751
affection	0.0490467
devotion	0.0489594
self-determination	0.0488646
"political movement"	0.0488625
FARC	0.048343
"Aryan Nations"	0.0482537
"Independence Party"	0.0480911
rapport	0.048008
"human rights"	0.0479306
sympathy	0.0478893
"secret society"	0.0478528
"Kurdistan Workers Party"	0.0478399
"World Church"	0.0478075
transparency	0.0477765
spirituality	0.0476368
Klan	0.0471167
"Center Party"	0.0470819
altruism	0.0469211
conservatism	0.0469027
"Ulster Unionist Party"	0.0468699
repentance	0.0468169
fundamentalist	0.0468074
"Promise Keepers"	0.0466218
admiration	0.0465886
identity	0.0465722
warmth	0.0465193
self-respect	0.0465133
democratization	0.046326
heroism	0.0463142
honesty	0.0461816
"China Democracy Party"	0.04617
LRA	0.0460519
militancy	0.0460321
"New Democracy"	0.0460064
empathy	0.0459717
parity	0.0458424
reformation	0.0458194
self-worth	0.0456966
interaction	0.0456397
powerlessness	0.0455638
fundamentalism	0.0455327
humanitarianism	0.0455078
alienation	0.045433
generosity	0.045299
nonproliferation	0.0452067
religion	0.0451882
"Virtue Party"	0.0449446
"Radical Party"	0.0448722
Scientology	0.0447482
"Service Employees International Union"	0.0444902
moderation	0.0444349
coordination	0.0443172
"opposition party"	0.0442819
"Mormon Church"	0.0442703
reunification	0.0441114
multiculturalism	0.0440234
serenity	0.0440129
individuality	0.0439922
"youth movement"	0.0437804
guild	0.0437749
activism	0.043658
determination	0.0435705
confidence-building	0.0435616
unanimity	0.0433979
accountability	0.0433428
well-being	0.0433
cult	0.0432837
Greenpeace	0.04326
acceptance	0.0432033
supremacy	0.0431351
grouping	0.0430785
commonality	0.0430705
sorority	0.0430398
AFL-CIO	0.0430334
Confederation	0.0430043
"Kurdish Workers Party"	0.0430012
detente	0.0429717
"Orthodox Church"	0.0428253
"customs union"	0.0427282
betrayal	0.0426612
"District Council"	0.0425722
humility	0.0424773
"Islamic Welfare Party"	0.0424629
"International Brotherhood"	0.0424358
"pressure group"	0.0424147
companionship	0.042325
))
(brouhaha (desc 2811.05) (sims
furor	0.125209
fracas	0.112624
"hue and cry"	0.111185
firestorm	0.102432
dustup	0.102251
uproar	0.101402
wrangle	0.100161
unpleasantness	0.0967836
spat	0.0962975
imbroglio	0.0959245
ruckus	0.0919043
flap	0.0918451
contretemps	0.0911897
outcry	0.088646
"cash crunch"	0.0886392
commotion	0.0880296
hubbub	0.0823158
fistfight	0.0808805
fiasco	0.0791712
melee	0.0786337
"custody battle"	0.0784317
hand-wringing	0.0768657
"market correction"	0.0764704
tempest	0.0760472
tiff	0.0742659
squabble	0.0727442
pandemonium	0.0723526
shindig	0.0722135
fuss	0.0721982
infighting	0.0709894
debacle	0.06989
scuffle	0.069885
back-and-forth	0.0681586
stayaway	0.0679594
tussle	0.0679011
feud	0.0664166
"brush fire"	0.0658392
"public debate"	0.0646922
flare-up	0.0645778
wrangling	0.064514
"guessing game"	0.0639467
gaffe	0.0634297
hoopla	0.0627458
snafu	0.0627292
discord	0.0623627
frenzy	0.0605222
unrest	0.0601549
conflagration	0.0598827
skirmish	0.0595212
bloodletting	0.0591554
haggling	0.0591378
selloffs	0.0590657
snit	0.0588362
quarrel	0.0587049
friction	0.0581888
backlash	0.0581388
disquiet	0.0575544
"price war"	0.0575473
tug-of-war	0.0573317
free-for-all	0.0572314
acrimony	0.057121
slugfest	0.0567827
dogfight	0.0567056
recrimination	0.0566081
unease	0.0564911
soul-searching	0.0564271
sell-off	0.0563491
rumour	0.0560279
"earnings disappointment"	0.0558697
in-fighting	0.0557152
"liquidity problem"	0.0555993
flareup	0.0555713
blowup	0.0555596
polarization	0.0555561
sparring	0.0554508
"engine failure"	0.0545654
firefight	0.0545439
fisticuffs	0.0543446
stink	0.0542301
brawl	0.0540851
craziness	0.054085
rancor	0.053956
downdraft	0.0539525
maneuverings	0.0538513
hysteria	0.0538467
upheaval	0.0537638
rift	0.0536109
"race riot"	0.0535776
"accounting problem"	0.0533259
strife	0.0531774
shakeout	0.0531042
calamity	0.0530999
disunity	0.0529561
rioting	0.0528942
"proxy fight"	0.0527922
antagonism	0.052661
"Mayon Volcano"	0.0525534
turbulence	0.0525177
"price fluctuation"	0.0524119
entanglement	0.0523911
gunbattle	0.0522414
mismatch	0.0521577
swoon	0.0520941
disturbance	0.0520761
gunfight	0.0519368
finger-pointing	0.0518207
tumult	0.0517597
"corruption scandal"	0.0516945
blunder	0.0515551
"road show"	0.0513048
worrier	0.0511592
blowout	0.0511283
"sonic boom"	0.0510178
"power failure"	0.0509551
"bombing run"	0.0509318
"Opium War"	0.0508278
bickering	0.0508244
scrum	0.0506541
angst	0.0501739
quandary	0.0501213
"victory celebration"	0.0501061
"crime wave"	0.0500137
"ice crystal"	0.0499639
stampede	0.0499108
"wrestling match"	0.0498738
babble	0.0497633
hang-up	0.0494977
hassle	0.0494678
firefights	0.0493469
implosion	0.0493175
fallout	0.0490823
"customer complaint"	0.0490583
dissension	0.0490397
misunderstanding	0.0490052
shocker	0.0489732
eruption	0.0489667
"house of cards"	0.0487572
impasse	0.0486037
Bedlam	0.0485273
tangent	0.0484097
indecision	0.048196
foul-up	0.048002
gridlock	0.0478473
agitation	0.0478348
mayhem	0.0477762
bullishness	0.0475766
maelstrom	0.0475696
warming	0.0475333
"labor dispute"	0.0472686
"battle line"	0.0472447
mixup	0.0472143
tsunami	0.0471942
derailment	0.0469692
"storm cloud"	0.0469129
convulsion	0.0469018
"high jinks"	0.0468969
misstep	0.0468054
upsurge	0.0467977
rumblings	0.0464857
"white elephant"	0.0463809
discontent	0.046255
selloff	0.046251
discouragement	0.0462062
spate	0.0461152
mania	0.0460267
updraft	0.0458444
profligacy	0.0457897
jitters	0.0457463
"numbers game"	0.0456484
quagmire	0.0456285
"moral hazard"	0.0455723
logjam	0.0454974
flack	0.045463
"saber rattling"	0.0454351
"expression of regret"	0.0453204
run-in	0.0452194
carnage	0.0450825
defection	0.04507
travail	0.0449125
dislocation	0.0449022
"arms race"	0.0448485
wildfire	0.0446513
meltdown	0.0446433
"fire wall"	0.0446123
Triptych	0.0446103
"management change"	0.0446037
misperception	0.0445792
disillusionment	0.0444936
runup	0.0444119
"price increase"	0.0443814
nastiness	0.0441516
"forest fire"	0.0441058
catastrophe	0.0440588
sell-offs	0.0438835
mishap	0.0438054
"atmospheric condition"	0.0437226
"takeover battle"	0.0434952
fragmentation	0.0434425
"news event"	0.0432662
"work stoppage"	0.0431337
))
(brow (desc 11086.4) (sims
forehead	0.130706
eyebrow	0.118935
cheekbone	0.107048
eyelid	0.0909597
cheek	0.0880684
lip	0.0811978
Chin	0.0756426
goatee	0.0750747
moustache	0.0746011
nostril	0.0712144
nose	0.0684718
neck	0.065998
hair	0.062925
Beard	0.0623805
mustache	0.0562531
jaw	0.0561296
ear	0.0558146
throat	0.0550333
navel	0.054314
tongue	0.0540535
tail	0.0510431
"eye socket"	0.050721
armpit	0.0469712
sideburn	0.0468369
grin	0.0459037
hairline	0.045624
teeth	0.0452492
abdomen	0.0452317
complexion	0.04429
genital	0.0438554
physique	0.0437112
finger	0.0435861
kneecap	0.0434475
coif	0.0434251
"little finger"	0.0432311
chest	0.0431228
torso	0.043044
thigh	0.0410728
paw	0.0407212
"sore throat"	0.0407178
scalp	0.0401735
eardrum	0.0400757
skull	0.0400419
))
(Broward (desc 1904.44) (sims
Miami-Dade	0.133626
Zhangbei	0.120672
Gwinnett	0.119923
Mendocino	0.114984
Cayuga	0.110274
Collier	0.108581
Leavenworth	0.105031
Middlesex	0.102021
Hillsborough	0.101402
manatee	0.0997473
Passaic	0.0975551
DeKalb	0.0973182
"Flagler County"	0.0969989
Fulton	0.096935
Forsyth	0.096109
Sussex	0.093629
Somerset	0.0880361
Oneida	0.0873392
"San Luis Obispo"	0.0855035
"San Bernardino"	0.0829688
"Williamson County"	0.0821958
Rockdale	0.0819775
"Fayette County"	0.0799291
Seneca	0.0789488
"Palm Beach"	0.0780598
Suffolk	0.0776941
Rockland	0.0775138
Cumberland	0.0772119
Monmouth	0.0760097
POLK	0.074549
Alameda	0.0741609
Monroe	0.073978
Windham	0.073261
Bergen	0.0711776
Essex	0.0704317
"Travis County"	0.0683087
"Dallas County"	0.0679044
"Saturday Evening Post"	0.0670471
"Rockdale County"	0.066885
"Pitt County"	0.0665324
"Erie County"	0.065643
Fairfax	0.0655019
Napa	0.0654425
Erie	0.0644542
Sonoma	0.0644066
"San Mateo"	0.0639694
"Jefferson County"	0.0631334
Lijiang	0.0610337
Cobb	0.0609485
"Cook County"	0.0609109
"Broward County"	0.059495
CHEROKEE	0.0590719
"Palm Beach County"	0.0586719
Chautauqua	0.0583221
"Fulton County"	0.0576464
Grady	0.0575614
"Monroe County"	0.0572788
Marin	0.0568141
"Tarrant County"	0.0566703
Gloucester	0.0561992
Niagara	0.0561472
"Jasper County"	0.0558829
Chatham	0.0538217
"Miami-Dade County"	0.0527881
Sarasota	0.0511788
"Albany County"	0.0506244
Denton	0.0504648
"Bergen County"	0.0495752
"Warren County"	0.0493187
Orleans	0.048828
Pitt	0.0488257
Ulster	0.0477311
Duffy	0.0471256
Hawn	0.0465822
southland	0.0462792
"Madison County"	0.0460134
"Montgomery County"	0.0455753
"King County"	0.0449266
"Harris County"	0.0440678
"Putnam County"	0.0439936
"Johnson County"	0.0435269
Atherton	0.043058
"Maricopa County"	0.0429737
"DeKalb County"	0.0425804
Lehigh	0.0423567
Guadalupe	0.0417523
"Jackson County"	0.0416235
Seminole	0.0411866
))
("Broward County" (desc 2851.08) (sims
"Montgomery County"	0.165954
"Fulton County"	0.16386
"Williamson County"	0.161119
"Harris County"	0.156577
"Tarrant County"	0.151063
"Dallas County"	0.149302
"Warren County"	0.149285
"Jasper County"	0.147996
"Jackson County"	0.143425
"Cook County"	0.138539
"Madison County"	0.137798
"Palm Beach County"	0.137096
"Jefferson County"	0.135357
"Travis County"	0.131628
"Albany County"	0.130045
"Monroe County"	0.12991
"Fayette County"	0.122513
"Rockdale County"	0.120217
"Dutchess County"	0.118758
"King County"	0.118637
"US District Court"	0.117209
"Gwinnett County"	0.112321
"Dade County"	0.108864
"Orange County"	0.107764
"Maricopa County"	0.105803
"Federal District Court"	0.104561
"Santa Clara County"	0.103012
"Suffolk County"	0.10095
"Riverside County"	0.100753
"Erie County"	0.100051
"Miami-Dade County"	0.0993706
Rockdale	0.0984262
"Pitt County"	0.0967515
"Ventura County"	0.094368
"Bergen County"	0.090895
"Johnson County"	0.090412
"District Court"	0.0863666
Fulton	0.0855065
Clearwater	0.084608
"Circuit Court"	0.0843829
"Palm Beach Gardens"	0.0828715
"U.S. Bankruptcy Court"	0.0812615
"Cobb County"	0.0808527
"Delray Beach"	0.0808457
"superior court"	0.080613
"Los Angeles County"	0.0805189
"Fairfax County"	0.0797905
"federal district"	0.0795777
"Putnam County"	0.0786443
"Essex County"	0.078336
Mannheim	0.0766823
"Sonoma County"	0.0757881
"Marin County"	0.0756177
TALLAHASSEE	0.0747696
Middlesex	0.0735379
"Nassau County"	0.0735
"San Diego County"	0.0734733
"DeKalb County"	0.0715435
"Fort Lee"	0.0715338
"Flagler County"	0.0702454
"Boynton Beach"	0.0688673
"Fort Myers"	0.0688552
"U.S. District Court"	0.068454
"Coral Gables"	0.0672807
Louisiana	0.0668812
"St. Augustine"	0.0660126
Wichita	0.0657522
Hialeah	0.0657144
"District of Columbia"	0.065667
Palmdale	0.0647023
Jasper	0.0646282
Mississippi	0.0643332
Bronx	0.0629605
"Newport Beach"	0.0615187
"Palm Beach"	0.0611522
Kissimmee	0.0606699
"Lake Worth"	0.0600489
"Port St. Lucie"	0.0598266
"Westchester County"	0.0596984
Broward	0.059495
"state supreme court"	0.0592425
Delaware	0.0591993
"Wyandotte County"	0.0587827
Jezzine	0.0586164
Alpharetta	0.0586035
Texarkana	0.0581992
"West Palm Beach"	0.0581619
"Panama City"	0.0575892
"Orthodox Jewish"	0.0575002
Wyoming	0.0573953
Lakeland	0.0567391
"Little Rock"	0.0565168
Oaxaca	0.0557415
"Boca Raton"	0.0556396
Bradenton	0.0549988
"Brooklyn Heights"	0.0548759
Westchester	0.054769
Gainesville	0.0547385
"Family Court"	0.0545447
Idaho	0.0543853
"San Mateo"	0.0540206
"Jersey City"	0.0539555
Allentown	0.0537399
Woburn	0.0535045
Bangor	0.05348
"National Court"	0.0531743
"Rockland County"	0.0527191
Glendale	0.0527174
"Round Rock"	0.0526358
"juvenile court"	0.0524456
Nevada	0.0522333
Encino	0.0520751
"Fort Lauderdale"	0.0519212
"Miami Beach"	0.0518296
Hattiesburg	0.0515739
LAKEWOOD	0.0513853
"Ocean City"	0.0513536
Raleigh	0.0509327
Petersburg	0.050824
"Thousand Oaks"	0.0505032
"Monmouth County"	0.0503801
Pensacola	0.0501951
"White Plains"	0.0501495
Spokane	0.0500466
Nago	0.0498229
"Santa Barbara"	0.049682
Scottsdale	0.0494053
Pacoima	0.0490772
"San Rafael"	0.0489927
slain	0.0487264
Tacoma	0.0486594
"New Territories"	0.0484521
Lancaster	0.0483295
Gwinnett	0.0480343
Chatsworth	0.0479857
Naples	0.0475568
"Corpus Christi"	0.0474607
"Santa Clarita"	0.0474515
Derry	0.0471518
"Santa Monica"	0.0470684
Topeka	0.0470625
ICTR	0.0469173
Ontario	0.0468863
Brownsville	0.0468067
TRENTON	0.0462793
"East Texas"	0.0461133
"Vero Beach"	0.0460203
"Northern Virginia"	0.0458823
"Atlantic City"	0.0455795
"Van Nuys"	0.0454017
Sarasota	0.0452869
Galveston	0.0452244
"Overland Park"	0.0450135
"lower court"	0.0449735
Nassau	0.0449337
Jilin	0.0448861
Chattanooga	0.0446301
"New London"	0.0444212
"La Jolla"	0.0441079
"Cape Canaveral"	0.0440725
"South Dakota"	0.0440511
MINEOLA	0.0439831
Alexandria	0.0436776
Greenwich	0.0436579
Sausalito	0.0436007
Delhi	0.0435402
Qinghai	0.0434912
Decatur	0.043483
Cabinda	0.0433883
"Simi Valley"	0.0432216
Norwalk	0.0430543
Petaluma	0.0430406
"Rio Grande Valley"	0.0429823
Miami-Dade	0.042965
"Appellate Division"	0.0428581
"North Hollywood"	0.0427481
"Israeli Arab"	0.0423369
"Fort Collins"	0.042299
Braintree	0.0422384
Wilmington	0.0421179
Laramie	0.0420179
Waco	0.0420021
"Beverly Hills"	0.0419929
"New York State"	0.0418933
Laredo	0.041869
Yonkers	0.0418458
forty	0.0417726
riverside	0.0417706
"World Court"	0.0416309
Brockton	0.0416027
"Staten Island"	0.0415378
Kitwe	0.0413028
CFA	0.0409714
Akron	0.0408816
Okinawan	0.0408671
"San Joaquin Valley"	0.0406774
Laughlin	0.0406445
"Jefferson City"	0.0405843
"San Marcos"	0.0405584
Vladivostok	0.0405422
))
(Brown (desc 122305) (sims
Johnson	0.124733
gray	0.119678
Williams	0.109288
red	0.108785
smith	0.10788
green	0.104354
white	0.0983748
Pink	0.0981727
Anderson	0.0962141
Miller	0.0961549
Yellow	0.0947289
Davis	0.0943561
beige	0.0940593
Martinez	0.0924382
"Cleveland Browns"	0.0922932
Clemens	0.0897192
cowboy	0.0892156
blue	0.0887309
Jackson	0.0877553
"Kevin Brown"	0.0874535
packer	0.0868256
purple	0.0860144
Jones	0.0858495
martin	0.0853521
Giants	0.0852563
Redskin	0.0849806
Robinson	0.0849372
Bush	0.0848148
cardinal	0.0847792
Wright	0.0844113
Carter	0.0842677
black	0.0841943
Lewis	0.0841604
patriot	0.0837774
gore	0.0813114
Graham	0.081196
BEARS	0.0811538
Hernandez	0.0808761
Finley	0.0806236
Taylor	0.0790585
Bradley	0.0782133
dodger	0.0775302
bronco	0.0763732
falcon	0.0762962
Perez	0.0762237
Giuliani	0.0761135
Wilson	0.0757863
he	0.07572
Eagles	0.0753307
Reed	0.0753272
team	0.0750196
Maddux	0.0750116
king	0.0748635
Yankee	0.0747117
Smoltz	0.0741365
coach	0.0738472
Orange	0.0738169
McCain	0.0736674
ram	0.0735364
bruin	0.0734963
Edwards	0.073318
Seahawks	0.0732398
Raven	0.0732196
brave	0.0731492
Thomas	0.0727637
Rodriguez	0.0725156
Evans	0.0721467
Reeves	0.0715872
Stewart	0.0712178
Lakers	0.0709648
Clark	0.0708767
Mets	0.0708723
tender	0.0706449
Clinton	0.070556
Malone	0.0704544
Parcells	0.0700731
wood	0.0699779
Shaw	0.0699589
Viking	0.0699549
Sanders	0.0697036
Gonzalez	0.0696576
him	0.0696191
Glavine	0.06959
collins	0.0695705
player	0.0690662
"Red Sox"	0.069002
Rogers	0.0687108
Duke	0.06862
Lee	0.0685617
Bennett	0.0681578
tan	0.0679502
colt	0.0679478
Thompson	0.0677307
angel	0.0674716
knight	0.0673966
"Randy Johnson"	0.0673943
diamondback	0.0672305
Pippen	0.0671808
Cone	0.0671787
Wells	0.0671743
ASTROS	0.0671443
Moore	0.06713
Mayor	0.067
Ewing	0.066925
young	0.0667795
Morris	0.0667725
Baker	0.0666288
dolphin	0.0665936
Bengals	0.0663554
ranger	0.0662233
fisher	0.0661685
mariner	0.0659557
Richardson	0.0659303
Riley	0.06593
Stanford	0.0659075
Pettitte	0.0658298
Watson	0.0657786
raider	0.0657397
bull	0.0656764
Harris	0.0656127
Hampton	0.0655659
Steelers	0.0655523
"Notre Dame"	0.0654244
Schilling	0.0654231
Kennedy	0.0653778
color	0.065067
Nelson	0.0649854
Vaughn	0.0649835
Bryant	0.0645571
O'Neal	0.0644355
Rivera	0.0643654
"Pedro Martinez"	0.0643613
Hardaway	0.0642836
Cunningham	0.0642649
jet	0.064189
Padre	0.0640719
Gordon	0.0640033
walker	0.0639546
Allen	0.0639257
Yeltsin	0.0636965
who	0.063493
Mitchell	0.0633645
Phillips	0.0633581
grey	0.0630886
BUCCANEER	0.0630637
Campbell	0.0629191
brewer	0.0628067
Hoffman	0.0627601
Garcia	0.0627567
Lieberman	0.0626298
Stottlemyre	0.0624488
Glenn	0.0624352
Palmer	0.0624269
Griffey	0.062325
she	0.0622683
UCLA	0.0621359
charger	0.062118
man	0.0620942
tiger	0.0620754
Hamilton	0.0619319
Foster	0.0619282
guy	0.0618757
pitcher	0.0617357
USC	0.0617239
senator	0.0616996
Cleveland	0.0615877
Fox	0.0615603
Orioles	0.061519
cub	0.0613421
Holmgren	0.0612683
Carroll	0.0612562
Armstrong	0.0611669
Elway	0.061082
Phillies	0.0610353
Daley	0.0609713
Barnes	0.0608453
Knicks	0.0607062
Sox	0.060702
Ford	0.0606836
her	0.0606113
panther	0.0605501
Gingrich	0.0605397
DOLE	0.0604979
clipper	0.0604833
Dreifort	0.0603977
"Dallas Cowboys"	0.0603948
Jordan	0.0602555
oiler	0.0600829
Welch	0.0599767
Moss	0.0599285
Leiter	0.0598314
Buchanan	0.0597763
Greene	0.0597142
McGwire	0.0595866
Piazza	0.0595643
Valdes	0.0595601
Cohen	0.0595006
"George W. Bush"	0.0594656
Iverson	0.0594484
Putin	0.0594381
))
("Brown &AMP; Williamson" (desc 3557.27) (sims
"R.J Reynolds"	0.198828
"Brown &AMP; Williamson Tobacco Corp."	0.192477
Lorillard	0.173039
"Philip Morris"	0.159983
"Koch Industries"	0.142953
"Main Events"	0.123776
"State Farm"	0.110272
"R.J Reynolds Tobacco Co."	0.109043
Eappens	0.107203
"Smith &AMP; Wesson"	0.106502
Harris-Lewis	0.0995615
"Pfizer Inc."	0.0985273
AHP	0.0975832
"Conde Nast"	0.0955195
Schering	0.0950271
Monsanto	0.0933255
Wyeth-Ayerst	0.0932053
Pfizer	0.093017
ACLU	0.0926236
"SmithKline Beecham"	0.0917101
"Pratt &AMP; Whitney"	0.0912493
"Dow Corning"	0.0892717
"Time Inc."	0.0885411
"Hearst Corp."	0.0865546
"American Home Products"	0.0851091
"Abbott Laboratories"	0.0842691
adidas	0.0840334
Miramax	0.0821019
Searle	0.0811274
"Pacific Bell"	0.0811181
Loral	0.0802181
Unilever	0.0799289
Pepsico	0.0794259
"Home Ministry"	0.0791454
"W.R. Grace"	0.0787039
"United Parcel Service"	0.0784007
"Consumers Union"	0.0783182
HKMA	0.0780166
SabreTech	0.0774094
"American Home"	0.0769321
Genentech	0.0766095
Amgen	0.0765984
"United Airlines"	0.0756243
"Bristol-Myers Squibb"	0.0754529
"Glaxo Wellcome"	0.0750587
"Lockheed Martin"	0.0750148
"Pac Bell"	0.0748548
Raytheon	0.0745174
Williamson	0.0738942
"tobacco industry"	0.073328
"Department of Public Safety"	0.0729373
Locke	0.0725157
"Legal Aid Society"	0.0721651
Swissair	0.0714101
Merck	0.0713991
"Levi Strauss"	0.0707761
"Interior Department"	0.0707742
Lilly	0.0705711
"U.S. Immigration and Naturalization Service"	0.070459
"Southwestern Bell"	0.0703006
"Hearst Corporation"	0.070165
DirecTV	0.0698212
"McDonnell Douglas"	0.0694823
Denel	0.0693999
"Warner Bros."	0.0692127
"Network Solutions"	0.0689721
"Philip Morris Cos."	0.0689549
Nabisco	0.0686544
"French Foreign Ministry"	0.0683885
Bestfoods	0.0683714
"Qualcomm Inc."	0.0677737
"Cox Communications"	0.0677709
Livent	0.067769
"American Civil Liberties Union"	0.0670676
Agusta	0.0661895
"General Electric"	0.0661639
Cayugas	0.0661597
Verizon	0.0660155
GAAF	0.065912
Mattel	0.0658864
Exxon	0.0658525
"Johnson &AMP; Johnson"	0.0658001
"Softbank Corp."	0.0657219
"Lockheed Martin Corp."	0.0656947
"Israeli Embassy"	0.065562
"Department of Corrections"	0.0653935
Citibank	0.0652011
"Texas Department of Health"	0.0650041
"PG&AMP;E"	0.0649592
"Blue Cross"	0.0649343
"Texas Department of Public Safety"	0.064912
"Russian Foreign Ministry"	0.0648575
Compaq	0.0648051
"First USA"	0.0645314
Morales	0.0645243
Intel	0.0644712
Bertelsmann	0.064319
Parsons	0.0642821
"Vanguard Group"	0.0641957
RIAA	0.064141
Fedex	0.0640939
"Coca-Cola Co."	0.0633452
Coca-Cola	0.0632794
"Judicial Watch"	0.063233
SCI	0.0632106
Novartis	0.0627373
"Paula Corbin Jones"	0.062515
Instinet	0.0623331
GANNETT	0.062131
"Federal Express"	0.0619188
"Delphi Automotive Systems"	0.0619147
"De Beers"	0.061857
"Microsoft Corp."	0.0618021
"Kraft Foods"	0.0614266
Abbott	0.0613223
"Western Union"	0.0611168
Texaco	0.0608422
Motorola	0.0608408
"National Association"	0.060685
"Pepsi Cola"	0.0606586
"Ford Motor Co."	0.060636
BASF	0.0604863
"National Election Committee"	0.0604168
"Board of Elections"	0.0600607
Lukoil	0.060032
INS	0.0598309
Protas	0.0597495
VICKERS	0.0594434
Comcast	0.0594413
"Health Department"	0.059314
"Allied Pilots Association"	0.0592283
IMG	0.0591872
Fila	0.0591594
Qwest	0.0591402
Callaway	0.0591386
"Royal Caribbean"	0.0589207
Anheuser-Busch	0.0588959
MCI	0.0588838
REVLON	0.0588782
"Boeing Co."	0.0588078
"Southern Poverty Law Center"	0.0587403
"U S West"	0.0586962
"Merck &AMP; Co."	0.0586813
"National Association of Broadcasters"	0.0585987
"Union Pacific"	0.0585929
"Health Care Financing Administration"	0.0585733
"Bankers Trust"	0.0584132
"Planned Parenthood"	0.0583568
EPA	0.0583004
Bayer	0.0581564
Alcatel	0.0581105
Pertamina	0.058088
"Universal Pictures"	0.0580447
Bristol-Myers	0.057994
"Iranian Foreign Ministry"	0.057835
Providian	0.0577257
Lockheed	0.0577068
"GE Capital"	0.0576527
Schering-Plough	0.0574493
"Wyeth-Ayerst Laboratories"	0.0574144
"Georgia Power"	0.0574117
USGA	0.0573322
"Los Angeles Police Department"	0.0573174
bombardier	0.0572488
Hasbro	0.0572288
ENTREMED	0.0569307
"American Airlines"	0.056867
FPL	0.0568192
"U.S. Chamber of Commerce"	0.0566926
"U.S. State Department"	0.0566402
"National Bureau of Statistics"	0.0565874
"Department of Justice"	0.0564974
NIKE	0.0564214
Conoco	0.0563751
"BP Amoco"	0.0563241
"Amnesty International"	0.0562826
TRW	0.056261
Corel	0.056235
"Big Tobacco"	0.0561913
Bridgestone	0.0561787
"Natural Resources Defense Council"	0.0560584
"National Republican Congressional Committee"	0.0559673
"Fidelity Investments"	0.0559433
"Department of State"	0.0558344
"Sara Lee"	0.0558231
"Sprint PCS"	0.0556663
FTC	0.0555766
"Paula Jones"	0.0553635
"Violence Policy Center"	0.0551924
Electrolux	0.0551883
"savings and loan"	0.055125
Allstate	0.0550376
Lipstadt	0.0549889
"American Cancer Society"	0.0549713
"Republican National Committee"	0.0549199
Esso	0.0549168
"Russian Defense Ministry"	0.0548783
Broadcom	0.0548339
RealNetworks	0.0547741
"Democratic Congressional Campaign Committee"	0.0547741
))
("Brown &AMP; Williamson Tobacco Corp." (desc 1799.83) (sims
"R.J Reynolds Tobacco Co."	0.404842
"Brown &AMP; Williamson"	0.192477
Lorillard	0.14775
"R.J Reynolds"	0.126702
"Delphi Automotive Systems"	0.115087
"Philip Morris"	0.10151
"Main Events"	0.0983719
"AMR Corp."	0.0981884
"RJR Nabisco"	0.0977244
"Hughes Electronics"	0.0913269
Eappens	0.090813
"GE Capital"	0.0889699
"Philip Morris Cos."	0.0883456
"Chevron Corp."	0.0870457
"Bristol-Myers Squibb"	0.0867482
"Sprint PCS"	0.0825302
"State Farm"	0.0804391
Cayugas	0.0786863
Associates	0.0760963
"American Home"	0.0748531
"American Family Publishers"	0.0734299
DirecTV	0.0725759
Uunet	0.0720335
"Koch Industries"	0.0714125
Schering-Plough	0.0695545
"American Home Products"	0.0694558
"Department of Public Safety"	0.0693737
"U.S. Immigration and Naturalization Service"	0.0690762
"Warner Books"	0.0687951
"Southwestern Bell"	0.0679795
"Symantec Corp."	0.0676585
"Ford Motor Co."	0.0658834
"Smith &AMP; Wesson"	0.065723
"Pacific Bell"	0.065442
"Southern Poverty Law Center"	0.0650323
"Legal Aid Society"	0.0647674
"Time Inc."	0.0638508
"Consolidated Edison"	0.063807
"Fidelity Investments"	0.0637391
"W.R. Grace"	0.0636752
"United Parcel Service"	0.0632361
"Allied Pilots Association"	0.0631218
"Network Associates"	0.0630378
"Kraft Foods"	0.0629926
"Pratt &AMP; Whitney"	0.0627065
Herndon	0.0622394
Harris-Lewis	0.0621289
Missourian	0.0619453
"Dennis Vacco"	0.0616214
Allstate	0.0611507
Wyeth-Ayerst	0.0608216
"Department of Corrections"	0.0607209
"First USA"	0.0602646
"Texas Department of Health"	0.059779
"Hearst Magazines"	0.0595252
"Jenny Jones Show"	0.0595169
"Glaxo Wellcome"	0.0586834
"Miramax Films"	0.0584353
Toysmart.com	0.0584249
"Softbank Corp."	0.0583771
"Sydney Organizing Committee"	0.0583693
KPMG	0.0580435
Unilever	0.0579296
"Coca-Cola Enterprises"	0.0578547
emachines	0.0577866
Fedex	0.0567463
"Paula Corbin Jones"	0.0562717
"Network Solutions"	0.0562399
Esso	0.0560779
"Communications Workers of America"	0.0560596
"Levi Strauss"	0.055733
Salomon	0.0551001
"Texas Department of Public Safety"	0.05496
"Environmental Defense Fund"	0.0548157
"Health Care Financing Administration"	0.0544026
"Liberty Media"	0.0543394
SBC	0.0541606
"American Bankers Association"	0.0533138
"Hearst Corp."	0.0533083
"Conde Nast"	0.053106
"Board of Elections"	0.0527501
"Nippon Telegraph"	0.0522711
"National Republican Congressional Committee"	0.0522664
"Pfizer Inc."	0.0519121
"Electronic Frontier Foundation"	0.0517982
Anheuser-Busch	0.0515713
"Legend Group"	0.0513083
Opel	0.0512623
"Democratic Congressional Campaign Committee"	0.0512149
ACLU	0.0509319
Sears	0.0506756
Dataquest	0.0506052
"Mather Worldwide"	0.0505018
"Port Authority of New York"	0.0501171
"Consumer Federation"	0.0500864
"Learning Co."	0.0499216
Swissair	0.0498605
"American Home Products Corp."	0.0498389
"National Association"	0.0496505
MCI	0.0496079
Spitzer	0.0494601
Xoom.com	0.0494296
"Motion Picture Association of America"	0.0493945
"NTT DoCoMo"	0.0492764
"Qualcomm Inc."	0.0490932
"Metropolitan Transportation Authority"	0.0490268
"Pac Bell"	0.0488164
Hynes	0.048673
"National Rifle Association"	0.048604
"General Electric"	0.0484585
"Arnold Communications"	0.048425
"Continental Airlines"	0.0483903
Pepsico	0.0481994
"Health and Human Services Department"	0.047994
"Dell Computer Corp."	0.0479789
"Delta Airlines"	0.0479783
adidas	0.0479149
"Cincinnati Enquirer"	0.0477331
"Hearst Corporation"	0.0475542
"Arthur Andersen"	0.0475155
"Hughes Electronics Corp."	0.047491
meatpackers	0.0472905
"Cuban American National Foundation"	0.0472448
Pfizer	0.0470668
"Human Rights Campaign"	0.0469796
"Air Line Pilots Association"	0.0469352
"Gillette Co."	0.0467038
SabreTech	0.0465275
"Delta Air Lines"	0.0464906
"BBDO New York"	0.0462858
"Air Transport Association"	0.0462462
Sanan	0.0462106
"Con Edison"	0.0460553
"Procter &AMP; Gamble Co."	0.0460289
"Handgun Control Inc."	0.0460259
"Pepsi Cola"	0.0460161
Monsanto	0.0459854
"Mastercard International"	0.0459605
Frito-Lay	0.0458931
"Coca-Cola Co."	0.0458331
Aguirre	0.0458326
"Federal Express"	0.0457613
"Saatchi &AMP; Saatchi"	0.0457382
"Random House"	0.045638
"American Civil Liberties Union"	0.0449386
"U S West"	0.0448328
"Warner Bros."	0.0447374
GTE	0.0446984
"Publishers Clearing House"	0.0443332
"US West"	0.0442795
"Cox Communications"	0.0440918
"Ernst &AMP; Young"	0.0440854
Yukos	0.0439424
Gillette	0.0439135
"Airtouch Communications"	0.043843
"National Association of Broadcasters"	0.0437635
"Department of Environmental Conservation"	0.0437614
Parsons	0.0436643
"Sears, Roebuck &AMP; Co."	0.0434385
"News Corp."	0.0432978
ICBC	0.0432742
"National Park Service"	0.0432705
Olivetti	0.0432224
"Union Pacific"	0.0431841
"Time Warner Inc."	0.0431585
"Department of Environmental Protection"	0.0431219
"Port Authority"	0.0430735
"Consumers Union"	0.0430052
"Securities Industry Association"	0.0429369
"SBC Communications"	0.0428193
"Bill Lockyer"	0.0427416
"MediaOne Group"	0.0426883
"Seagram Co."	0.0425601
Texaco	0.0424143
Bestfoods	0.0424091
"Handgun Control"	0.0422905
"Natural Resources Defense Council"	0.0422413
"American Lung Association"	0.0422142
Livent	0.0421311
prudential	0.0419349
"International Business Machines Corp."	0.0418115
"Vanguard Group"	0.0416997
"Pharmacia &AMP; Upjohn"	0.0416165
Transmeta	0.0415763
"Paramount Pictures"	0.0414841
SFX	0.041409
Wynn	0.0413072
Vacco	0.0412882
"Los Angeles Police Department"	0.0412565
"Federal Emergency Management Agency"	0.0410786
"U.S. Trust"	0.0410767
"Blue Cross"	0.0410127
Sidanko	0.0408902
"Association of Flight Attendants"	0.040852
ENTREMED	0.0406534
Searle	0.040565
"Hongkong Telecom"	0.0403911
Lukoil	0.0402944
Mudge	0.0402053
PEOPLESOFT	0.0401801
))
("brown bear" (desc 1046.18) (sims
"snow leopard"	0.173519
"red deer"	0.147133
leopard	0.143157
"grizzly bear"	0.134221
ibis	0.131414
Macaque	0.122239
"black bear"	0.112355
hyena	0.0968862
"mountain lion"	0.0925435
antelope	0.0909968
"wild boar"	0.0894764
moose	0.0881864
bobcat	0.088142
zebra	0.0867781
otter	0.0849185
rhinoceros	0.0824932
cheetah	0.0817552
orangutan	0.0809059
ox	0.0800108
mink	0.0747738
baboon	0.0736452
"giant panda"	0.0720777
porcupine	0.0702523
Wolverine	0.06999
sloth	0.0696625
panda	0.0693746
oxen	0.0691238
lemur	0.0680373
burro	0.0667403
alligator	0.0665562
elk	0.0661371
maggot	0.0659398
crocodile	0.0657905
"polar bear"	0.0652313
giraffe	0.06501
fawn	0.064772
cougar	0.0635662
Condor	0.0634583
turtle	0.0631043
owl	0.0628594
dragonfly	0.0628524
"mountain gorilla"	0.0623919
jackal	0.0622738
sable	0.0607649
gazelle	0.0604735
hedgehog	0.0591508
yak	0.0584889
"white elephant"	0.0581395
rustler	0.0579201
lynx	0.0578704
nigger	0.0568067
"day laborer"	0.0565743
Gibbon	0.0564458
donkey	0.0554956
warthog	0.0547493
chimpanzee	0.0541595
bison	0.0538358
raccoon	0.0532456
termite	0.0529933
Mockingbird	0.0518999
pigeon	0.0508657
turbot	0.0506036
heron	0.0501787
"white person"	0.0493208
"blue whale"	0.0488469
skunk	0.0488236
third-graders	0.0481276
"oil slick"	0.0479976
chimp	0.0473609
"shipwreck survivor"	0.0471889
rodent	0.0471795
hummingbird	0.0469305
unicorn	0.0464717
tarantula	0.0459327
rotavirus	0.0457956
"sea lion"	0.0456519
"Tyrannosaurus rex"	0.0453856
honeybee	0.0452908
ostrich	0.0449251
boar	0.0445934
tarpon	0.0432867
Lacresha	0.0429763
peregrine	0.0428994
pheasant	0.0428682
kangaroo	0.0427498
Titleist	0.0422347
Neulander	0.0422232
parachutist	0.0418808
"golden eagle"	0.0417917
Biko	0.0416089
"storm cloud"	0.0415014
pug	0.0413122
Gabbi	0.0411475
"brown trout"	0.0410168
Orca	0.0406571
bluebird	0.0403398
"lynch mob"	0.0402147
"rainbow trout"	0.0401928
))
("brown rice" (desc 1327) (sims
lentil	0.167523
legume	0.153333
pea	0.12382
"raw meat"	0.121335
barley	0.117134
oat	0.116083
"wild rice"	0.113618
"roast beef"	0.111661
"white rice"	0.111378
bran	0.105714
"pinto bean"	0.103885
pasta	0.102265
cereal	0.100023
oatmeal	0.0999439
"cooking oil"	0.0984472
"brown sugar"	0.0979777
sorghum	0.0973162
flour	0.0970373
noodle	0.094235
"chicken stock"	0.0937005
"black-eyed pea"	0.0936829
rye	0.0931998
porridge	0.0913435
"string bean"	0.0905278
pilaf	0.0900754
"French toast"	0.0887701
mutton	0.0854728
"chicken broth"	0.0835707
"root vegetable"	0.0822608
alfalfa	0.0821154
soy	0.0820197
"cake mix"	0.0818111
cabbage	0.0812114
"dairy product"	0.0812074
oilseed	0.0801369
spaghetti	0.0792194
Broccoli	0.0788382
"macaroni and cheese"	0.0787729
veal	0.0780126
"sweet potato"	0.0774278
seafood	0.0771203
sausage	0.0767705
"vegetable oil"	0.0764895
applesauce	0.0757209
cassava	0.0728118
avocado	0.0728024
"vegetable soup"	0.0725754
penne	0.0721625
"dried fruit"	0.0717964
"sugar beet"	0.0717748
spinach	0.0707412
asparagus	0.0707112
Collard	0.0703494
cucumber	0.070309
Chickpea	0.0696497
Chili	0.069074
"pot roast"	0.0690563
yolk	0.068292
"evaporated milk"	0.0682823
"white bean"	0.0681989
"black bean"	0.0678581
"beef tenderloin"	0.067669
millet	0.0669504
okra	0.066003
"cottage cheese"	0.0655101
"powdered milk"	0.0651553
"green bean"	0.065084
kebab	0.0650573
buckwheat	0.0649116
"bean sprout"	0.0647744
chilies	0.0633457
lettuce	0.0633427
polenta	0.0632566
meatloaf	0.0630253
yogurt	0.0627398
"lima bean"	0.0622951
broth	0.0619239
"pine nut"	0.0618006
"chicken breast"	0.0617187
veggie	0.061509
radish	0.0613791
brisket	0.060893
arugula	0.0603029
gruel	0.0601626
slaw	0.0600188
ricotta	0.0599954
macaroni	0.0594421
"peanut oil"	0.0592864
bulgur	0.0590416
tortilla	0.0590321
melon	0.0587776
omelette	0.0585218
"soya bean"	0.0584016
"green salad"	0.0583616
canola	0.058202
leek	0.0576197
"fresh fish"	0.0572072
groundnut	0.0568424
raisin	0.0568159
"sugar cane"	0.0564822
"condensed milk"	0.0556762
"citrus fruit"	0.0556448
tortellini	0.05553
condiment	0.0552145
sugarcane	0.0550483
"futures price"	0.0548268
granola	0.0546696
turnip	0.0546369
plantain	0.0545723
yam	0.0543544
cornmeal	0.0540561
meatball	0.0538927
"bok choy"	0.0538357
"peanut butter"	0.0537413
margarine	0.0534433
"collard greens"	0.0530369
buttermilk	0.0530314
omelet	0.052989
cauliflower	0.0527869
"orange juice"	0.0521952
pineapple	0.052037
mesclun	0.0520108
"hoisin sauce"	0.0517821
gravy	0.0516568
caramel	0.0515417
zucchini	0.0515042
scallop	0.0513304
"meat loaf"	0.0513258
eggplant	0.0509639
mussel	0.0508648
"well water"	0.0505905
sesame	0.0497755
artichoke	0.0490805
Catfish	0.0490142
halibut	0.0487631
"fish fillet"	0.048737
pancake	0.0486379
celery	0.0483856
seasoning	0.0482862
"french fries"	0.0479668
"fruit juice"	0.0478874
Sirloin	0.0477697
"side dish"	0.0477586
flax	0.0475748
venison	0.0475679
"wheat flour"	0.0473313
"tomato sauce"	0.0469165
dumpling	0.0467911
"green onion"	0.0467222
linguine	0.0467194
sherry	0.0465126
"cut of meat"	0.0462483
dumplings	0.0460828
"baked goods"	0.0455912
cornstarch	0.0455522
"soy sauce"	0.0454621
gingerbread	0.0453223
scallion	0.0453023
Archaeopteryx	0.0451313
"grated cheese"	0.0450039
"Caesar salad"	0.0449005
mayonnaise	0.0447813
risotto	0.0447462
"barbecue sauce"	0.0446256
hazelnut	0.0445654
"ground beef"	0.0444063
horseradish	0.0442622
"baking soda"	0.0442556
"bay leaf"	0.0442196
"short ribs"	0.0441049
soya	0.0440405
fennel	0.0439452
fig	0.0438038
"cold cuts"	0.0433815
prawn	0.0431864
cornbread	0.0429929
mauve	0.0429845
non-whites	0.0429315
"sweet corn"	0.0428902
gratin	0.0428799
"egg yolk"	0.042743
sardine	0.0426559
shad	0.0425977
"skim milk"	0.0425063
"Chinese cabbage"	0.0423503
"coconut oil"	0.0422476
half-and-half	0.0420466
Yucca	0.0419436
molasses	0.0417067
"cherry tomato"	0.0414744
"freshwater fish"	0.0414083
shallot	0.041334
"low-fat diet"	0.0411864
rapeseed	0.041109
"heavy cream"	0.0407812
"beef broth"	0.040488
crawfish	0.0403363
"chili powder"	0.0402557
Gorter	0.0402489
))
("brown sugar" (desc 10398.8) (sims
"lemon juice"	0.355748
"lime juice"	0.34552
"soy sauce"	0.342233
"evaporated milk"	0.310152
vinegar	0.308166
buttermilk	0.298348
"wine vinegar"	0.294891
"Worcestershire sauce"	0.29345
cornstarch	0.291834
"corn syrup"	0.281668
"baking powder"	0.27877
sugar	0.271636
"egg yolk"	0.26267
"sour cream"	0.259138
vanilla	0.25896
"curry powder"	0.258681
"baking soda"	0.257509
half-and-half	0.25551
"heavy cream"	0.255062
mustard	0.255006
cinnamon	0.254324
"sesame oil"	0.253348
"chili powder"	0.251402
cornmeal	0.249145
"tomato paste"	0.248761
flour	0.247787
"olive oil"	0.247078
honey	0.246052
butter	0.244852
raisin	0.244718
"maple syrup"	0.244073
salt	0.240806
cumin	0.240154
"orange juice"	0.237325
"lemon zest"	0.236297
"peanut oil"	0.234799
"cider vinegar"	0.232516
mayonnaise	0.229932
"orange zest"	0.229347
parsley	0.225647
"vegetable oil"	0.224525
molasses	0.223102
paprika	0.22249
"whipping cream"	0.221332
ginger	0.220584
nutmeg	0.217881
"vanilla extract"	0.217488
"coconut milk"	0.217269
margarine	0.216187
crumb	0.215369
cayenne	0.215059
Garlic	0.214614
cilantro	0.214273
horseradish	0.213003
"pine nut"	0.211423
"sesame seed"	0.210062
"cottage cheese"	0.208021
yogurt	0.206864
"hoisin sauce"	0.20362
shallot	0.20249
oregano	0.200846
coconut	0.200522
"chili sauce"	0.199555
sherry	0.195326
"black pepper"	0.193297
"egg white"	0.191914
"chicken broth"	0.191139
thyme	0.190322
almond	0.190051
"cayenne pepper"	0.189507
"peanut butter"	0.187739
Basil	0.186996
pecan	0.184819
shortening	0.184324
milk	0.184315
ketchup	0.183344
seasoning	0.180886
"almond extract"	0.180454
"chicken stock"	0.179394
"hot sauce"	0.178674
"white wine"	0.177601
onion	0.177227
"Tabasco sauce"	0.176551
peppercorn	0.17605
turmeric	0.174662
rum	0.174573
pepper	0.172913
"pineapple juice"	0.172131
cocoa	0.171801
"Grand Marnier"	0.169251
coriander	0.168338
"green onion"	0.167019
chive	0.165196
allspice	0.164142
powder	0.161812
cream	0.161176
broth	0.160667
"condensed milk"	0.160154
tahini	0.160054
liqueur	0.158834
clove	0.158713
cider	0.158434
syrup	0.158127
cheese	0.157731
lemon	0.156636
yolk	0.156414
"orange marmalade"	0.155681
"cream cheese"	0.155452
mint	0.155308
scallion	0.154302
walnut	0.15416
raspberry	0.154127
"pepper sauce"	0.152721
sauce	0.152336
fraiche	0.152221
paste	0.151917
puree	0.151682
"orange peel"	0.151214
hazelnut	0.150599
"star anise"	0.150482
"celery seed"	0.150315
cardamom	0.150229
dill	0.149141
saffron	0.148766
juice	0.148471
spice	0.145655
"red pepper"	0.144965
rosemary	0.144466
"blue cheese"	0.143153
ricotta	0.142681
flake	0.141798
"mustard seed"	0.141274
yeast	0.140805
lard	0.139658
"macadamia nut"	0.138893
chocolate	0.138452
"apple juice"	0.137261
breadcrumb	0.137186
"bay leaf"	0.134649
egg	0.133808
tomato	0.133629
bourbon	0.133268
chutney	0.132125
"white pepper"	0.131857
"tomato sauce"	0.131202
marshmallow	0.130726
currant	0.130682
"tomato juice"	0.130482
"skim milk"	0.130102
flavoring	0.128797
"cumin seed"	0.128631
miso	0.126995
"fennel seed"	0.126327
"seasoned salt"	0.125389
lemongrass	0.125076
lentil	0.124516
"cake mix"	0.124051
"coriander seed"	0.124038
caramel	0.123793
lime	0.123435
nut	0.122862
tarragon	0.122349
"beef stock"	0.122349
"lemon peel"	0.122259
applesauce	0.122074
Parmesan	0.120938
apricot	0.120697
"grated cheese"	0.119096
oat	0.118838
pineapple	0.11551
soy	0.115043
vinaigrette	0.114845
bran	0.114055
herb	0.113919
oatmeal	0.112349
zest	0.112278
"whipped cream"	0.11223
"red wine"	0.109489
caper	0.109463
mushroom	0.10932
gelatin	0.109288
chiles	0.109282
olive	0.109265
"dried fruit"	0.108994
anise	0.108924
marjoram	0.108535
brandy	0.108283
tapioca	0.107932
celery	0.107724
peanut	0.107702
chilies	0.10767
"poppy seed"	0.107237
"goat cheese"	0.107184
"cooking oil"	0.106888
cranberry	0.106275
jelly	0.105794
"barbecue sauce"	0.105579
pistachio	0.104958
wine	0.104933
oil	0.104778
jalapeno	0.104559
marmalade	0.104506
anchovy	0.10448
"beef broth"	0.104389
"hot pepper"	0.104204
Liquid	0.102667
panko	0.102106
"salad dressing"	0.101316
Cherry	0.101158
Tamarind	0.100809
"wheat flour"	0.100521
Chickpea	0.100497
))
("brown trout" (desc 1650.81) (sims
"rainbow trout"	0.171357
steelhead	0.166361
trout	0.16336
"brook trout"	0.152768
"coho salmon"	0.136624
cutthroat	0.136227
tarpon	0.123747
mackerel	0.115363
bluefish	0.101442
"king salmon"	0.0948058
Catfish	0.0928384
coho	0.0916434
sockeye	0.0895335
striper	0.0890568
walleye	0.088625
rainbow	0.0863918
redfish	0.0796349
sumac	0.0774247
shad	0.0757233
sturgeon	0.0755149
halibut	0.0732356
chinook	0.0695094
"striped bass"	0.0692887
"Atlantic salmon"	0.0679278
"red snapper"	0.0620042
brook	0.0619962
freckle	0.0609405
swordfish	0.0600946
"shipwreck survivor"	0.0597131
tilapia	0.0566365
goose	0.0559976
bruiser	0.0543866
"heavy hitter"	0.0516922
snowman	0.0515953
herring	0.0510393
"mushroom cloud"	0.0509743
flack	0.0505125
rhododendron	0.0499643
paella	0.0490155
"Richard Hatch"	0.0488846
tassel	0.0480976
Virginian	0.0476649
smooch	0.0474249
"sea horse"	0.0469899
Hawaiians	0.0463267
householder	0.0459081
chalice	0.0458728
"peregrine falcon"	0.0458067
crayfish	0.0457419
burro	0.0452902
"quarter horse"	0.0449927
"fish fry"	0.0447181
carp	0.0446994
"grocery bag"	0.0446683
CRT	0.0446079
tenderloin	0.0435097
"flower garden"	0.0429458
"tax income"	0.0428716
monkfish	0.0428399
Sununu	0.0428278
oxen	0.0423878
non-Muslims	0.0420643
Iowan	0.0419498
snakehead	0.0418571
goldfish	0.041771
imaginings	0.0417678
Washingtonian	0.0416389
"sheet of paper"	0.0415973
critters	0.0415931
sherpas	0.041577
sucker	0.0413187
geese	0.0411769
"brown bear"	0.0410168
bullfrog	0.0409883
meatpackers	0.0409837
GMA	0.0408056
"knockout punch"	0.0403495
warbler	0.0402427
"monkey wrench"	0.0400343
))
("Brown University" (desc 5338.45) (sims
"Princeton University"	0.271951
"Yale university"	0.270116
"Georgetown University"	0.269814
"City College"	0.261384
"Stanford University"	0.259784
"Syracuse University"	0.258288
"Duke University"	0.25774
"Rutgers University"	0.255101
"University of Wisconsin"	0.25239
"Cornell University"	0.249283
"Smith College"	0.248469
"New York University"	0.244843
"University of Rochester"	0.244727
"Emory University"	0.244157
"University of Illinois"	0.244012
"Columbia University"	0.242977
"University of Georgia"	0.242359
"University of Chicago"	0.241995
"Amherst College"	0.241209
"Northwestern University"	0.238999
"Harvard Business School"	0.237659
"Howard University"	0.237596
"University of North Carolina"	0.23312
"University of Kansas"	0.231476
"Johns Hopkins University"	0.230707
"Michigan State University"	0.229773
"Harvard University"	0.22898
"Williams College"	0.228596
"Louisiana State University"	0.228147
"George Washington University"	0.228076
"University of Arizona"	0.225016
"Dartmouth College"	0.224942
"Ohio State University"	0.220827
"Southern Methodist University"	0.219945
"Harvard College"	0.219657
"State University of New York"	0.21958
"University of Michigan"	0.219522
"Northeastern University"	0.219504
"Barnard College"	0.218628
"University of Pittsburgh"	0.216989
"University of Maryland"	0.215222
"University of Missouri"	0.214637
"Vanderbilt University"	0.213043
"Harvard Law School"	0.212392
"University of Texas"	0.212118
"University of Florida"	0.210361
"Indiana University"	0.209886
"Yale Law School"	0.208467
"University of South Carolina"	0.207303
"Rice University"	0.205794
"Georgia State University"	0.205711
"University of Virginia"	0.205122
Yale	0.204884
"Iowa State University"	0.204855
"American University"	0.203191
"University of New Mexico"	0.200643
"University of Massachusetts"	0.200307
"Boston University"	0.198835
"University of Colorado"	0.195735
"University of California"	0.194375
"University of Washington"	0.194109
"University of Minnesota"	0.192432
"University of Southern California"	0.19158
"Brigham Young University"	0.191444
"Arizona State University"	0.189674
Vassar	0.186375
"Fordham University"	0.186247
"Queens College"	0.184747
"Hebrew University"	0.183679
"Massachusetts Institute of Technology"	0.1816
"Washington University"	0.18095
"University of Cincinnati"	0.180104
"Cambridge University"	0.180035
Cornell	0.179937
"Harvard Medical School"	0.179451
"University of Alabama"	0.179424
"University of Pennsylvania"	0.178276
"University of Iowa"	0.178271
"Beijing University"	0.174309
"University of Maine"	0.173233
"Purdue University"	0.173011
"University of Utah"	0.169668
"Wright State University"	0.168753
"University of Tennessee"	0.1679
Harvard	0.167726
"Hunter College"	0.165855
"Oxford University"	0.165725
"California State University"	0.16438
"University of Kentucky"	0.16229
"University of Connecticut"	0.162228
"Brandeis University"	0.162117
"University of New Hampshire"	0.161907
"Tufts University"	0.160801
MIT	0.159253
"Pennsylvania State University"	0.158537
"Texas Christian University"	0.158001
"London School of Economics"	0.157344
"University of Toronto"	0.15705
"University of Dayton"	0.155963
"North Carolina State University"	0.155816
Princeton	0.153436
"University of Hong Kong"	0.151649
"University of Wyoming"	0.151618
"San Francisco State University"	0.151431
"McGill University"	0.14964
"University of Notre Dame"	0.146258
"Wesleyan University"	0.145635
Emory	0.145252
"Florida International University"	0.14482
"Temple University"	0.144573
"University of Miami"	0.143819
Sorbonne	0.143593
"UC Berkeley"	0.141207
"Johns Hopkins"	0.14098
"Florida State University"	0.140592
"Colorado State University"	0.138302
Dartmouth	0.137256
"University of Arkansas"	0.136234
"U.S. Naval Academy"	0.135516
"City University of New York"	0.134771
"University of Nebraska"	0.134653
"Baylor University"	0.134531
"University of Hawaii"	0.133669
"University of Mississippi"	0.131619
"University of Houston"	0.130991
Stanford	0.130362
"College of Charleston"	0.130196
"Auburn University"	0.129288
"Washington State University"	0.128266
"Kansas State University"	0.127779
"University of Oklahoma"	0.127735
"University of Zimbabwe"	0.12725
"West Point"	0.126973
Oxford	0.126858
UGA	0.12616
"Carnegie Mellon University"	0.124895
"California Institute of Technology"	0.123876
"Boston College"	0.123699
"air force academy"	0.123017
"business school"	0.121585
"school of law"	0.119453
"school of medicine"	0.11844
"Hofstra University"	0.118375
"law school"	0.11542
Brandeis	0.114103
"Wake Forest University"	0.112737
"medical school"	0.112522
"naval academy"	0.112227
"Trinity College"	0.112003
"Kennedy School"	0.111085
"Texas Tech University"	0.108988
NYU	0.107548
"city university"	0.107048
"Harvard School of Public Health"	0.107032
"Georgia Tech"	0.104917
Columbia	0.104248
"Nanjing University"	0.102973
"Catholic University"	0.102509
"University of Nevada"	0.100064
"Furman University"	0.0987915
"George Mason University"	0.0985526
"art school"	0.0984222
"Peking University"	0.0981674
seminary	0.0977617
northeastern	0.0974044
UT	0.0967693
"University of Oregon"	0.0948247
"community college"	0.0943259
"Seton Hall University"	0.0928689
"University of Rhode Island"	0.0925118
Bu	0.0914903
"Tehran University"	0.0913015
"military academy"	0.0900784
"Qinghua University"	0.0896863
KU	0.0895587
"Juilliard School"	0.0893459
Juilliard	0.089023
Rutgers	0.086918
Cambridge	0.0862418
Eton	0.086125
Radcliffe	0.0854555
Georgetown	0.0840705
"Fudan University"	0.0830728
UCLA	0.0823747
Berkeley	0.0818441
SMU	0.0810802
"school of music"	0.0810413
"Cleveland Clinic"	0.0807037
tuft	0.0800629
"Kent State"	0.0799702
Wellesley	0.0792455
UW	0.0786226
CalTech	0.0785277
"Holy Cross"	0.0774507
UNAM	0.0765254
"Rockefeller University"	0.0763289
"Heritage High School"	0.0742731
UNC	0.0739569
"teachers college"	0.0737523
"Johnson Space Center"	0.0735492
))
(Brownback (desc 1305) (sims
Kyl	0.257898
Allard	0.238641
Dewine	0.234554
Grassley	0.229952
Murkowski	0.221512
Inhofe	0.220397
Santorum	0.207132
Snowe	0.201517
Nickles	0.198358
Gramm	0.191168
Domenici	0.189942
McConnell	0.189755
frist	0.189646
Hagel	0.183713
Harkin	0.180465
Jeffords	0.178834
Lugar	0.174548
Tauzin	0.153868
Gregg	0.15108
Voinovich	0.147721
Shelby	0.147346
Gorton	0.143493
Upton	0.139344
Kolbe	0.138777
Weldon	0.138043
Ashcroft	0.136219
Wellstone	0.13451
Hutchison	0.133423
Pelosi	0.133066
Ruehe	0.132771
Advani	0.130662
Hutchinson	0.130372
Rossotti	0.126462
Waxman	0.126404
Gilman	0.125644
McCollum	0.125424
Lautenberg	0.125262
Thurmond	0.124882
Verney	0.122631
Chafee	0.121011
Bustamante	0.119656
Dingell	0.118892
R-N.M.	0.118865
Canady	0.118455
Beilin	0.116957
Largent	0.116466
Gosper	0.115968
Satcher	0.115493
Delahunt	0.115078
Molinari	0.114866
Lockyer	0.114704
"Jim Gilmore"	0.114366
Ebersol	0.113566
Lott	0.113201
Coverdell	0.113182
LANIER	0.11256
Leahy	0.112531
Manley	0.111965
R-N.C.	0.111649
Riordan	0.109989
Shays	0.109645
Ratliff	0.109073
Helms	0.108469
Alioto	0.108432
Doggett	0.107481
Sheehan	0.107293
Ruggiero	0.107248
Zhirinovsky	0.107133
Velayati	0.106798
Leavitt	0.106036
Scharping	0.105596
Nadler	0.105274
LaPierre	0.105147
Fleischer	0.104239
Hodler	0.103872
Difrancesco	0.103253
Daschle	0.103194
"John Rowland"	0.102899
Abraham	0.102867
Levitt	0.102758
Kyprianou	0.102231
"Tom Harkin"	0.101125
Zuma	0.101054
Valenti	0.101014
D-Iowa	0.100611
Surin	0.100486
Kessler	0.10036
MURTHA	0.0995509
"Arthur Levitt"	0.0994266
Bliley	0.0992187
Grasso	0.0992031
Kornberg	0.0990886
Dodd	0.098756
Alarcon	0.0987402
Zarb	0.0987181
Hybl	0.0985698
Bildt	0.0985202
Singson	0.0984202
"administration official"	0.0980708
Moakley	0.0979442
Wenger	0.097497
Wilhelm	0.0971179
Naumann	0.0969399
Insulza	0.0960734
Azizah	0.0958907
Piot	0.0957236
Smaltz	0.0949904
Ackerman	0.0948964
Morgenthau	0.0945037
Mandelson	0.0944616
Schell	0.0942969
Roth	0.0942596
specter	0.0942062
Glickman	0.0942025
Flanagan	0.0939558
Caddell	0.0934689
Cornyn	0.093433
"Sam Brownback"	0.0931213
Markey	0.0927695
Kerry	0.0924782
Conte	0.0923268
Engler	0.0918333
D-Neb	0.0916208
Schuerholz	0.0915909
Cochran	0.0915708
"Defense William Cohen"	0.091554
Seleznyov	0.0915141
Hauser	0.0913028
"Frank Keating"	0.091261
Klima	0.0912248
Qiao	0.0911919
Patel	0.0905683
Maslyukov	0.0904011
Babcock	0.0903087
"Pat Roberts"	0.0901292
Steiner	0.0899285
Biden	0.0898827
Goldin	0.089153
Weinstein	0.0888905
Shipley	0.088814
Cleland	0.088595
Wolfson	0.088326
Davie	0.0881667
Ashrawi	0.0881126
Hyde	0.0879145
Taft	0.0878328
Connerly	0.0877836
Harmoko	0.0875337
Garcetti	0.0874983
prvs	0.0874803
Barbour	0.0874433
Stoyanov	0.0873155
Sarid	0.0872995
Patten	0.0870908
Feingold	0.0866886
Hayden	0.0866359
Moynihan	0.0865164
R-Vt.	0.0864287
Finkel	0.0864088
Eizenstat	0.0862607
Galvin	0.0861547
SHUSTER	0.086052
ROMNEY	0.085997
Lehane	0.0859864
McCaffrey	0.0859438
Samuelson	0.0858492
Guterres	0.0858197
Kennard	0.0855965
Constantinescu	0.0855594
R-Del.	0.0855372
Lessig	0.085502
Feinstein	0.0854593
Husseini	0.0852538
R-N.H.	0.0850076
Gormley	0.0849339
Jobe	0.0848476
Sensenbrenner	0.0847446
Padilla	0.0842581
Diouf	0.0842369
Rosenblatt	0.0841489
Epstein	0.0840412
Torricelli	0.0837192
DeFrantz	0.0833081
Carnahan	0.08301
Nicholson	0.0829023
"Mike Huckabee"	0.0828742
Conroy	0.0826721
R-Miss.	0.0825283
Lipponen	0.0823665
Meehan	0.0823334
Meissner	0.0823076
Shaheen	0.0822166
Caldera	0.0821605
Archer	0.0821554
Craig	0.082078
Dini	0.081909
Sykes	0.0818017
Solis	0.0817142
Rifkind	0.0815284
"Bill Owens"	0.0814905
))
(Browne (desc 3301.08) (sims
Naumann	0.114144
Hauser	0.113084
Ruehe	0.112258
Brundtland	0.105257
Winkler	0.102139
Prewitt	0.0992537
Cowan	0.0986443
Coen	0.098046
Mendez	0.097128
Eizenstat	0.0961149
Ebersol	0.0938223
Rubenstein	0.0937971
Hybl	0.0936697
Kasoulides	0.0933247
Donohue	0.0928552
Meissner	0.0913937
Fleischer	0.0904774
Finkel	0.0896905
Laudrup	0.0886819
Ciampi	0.0875399
Appleby	0.0870489
Goldin	0.0868309
Krasniqi	0.0861058
Rossotti	0.085076
Rosenthal	0.0841023
Solis	0.0840845
ISSEL	0.0836414
Flanagan	0.0834939
Singson	0.0825748
Cink	0.0823885
Siegel	0.0820912
Mcbride	0.0819059
Bartlett	0.0814355
Tevanian	0.0814107
Mandelson	0.0813618
Donahue	0.0811979
Hanna	0.0808426
Faget	0.0801689
O'Malley	0.0800384
Monson	0.0795673
Aventajado	0.0794985
Kuehne	0.0794526
Musa	0.0787711
Gaston	0.0785149
McCurry	0.0780667
Klima	0.077936
Kurth	0.077927
Fernandes	0.0777646
Weil	0.0776684
Kouchner	0.077575
Babcock	0.0774945
McGuinness	0.0772653
Lowery	0.0772401
Reiner	0.0771669
Ling	0.077161
Salim	0.0770262
Hess	0.0769196
BEGAY	0.0768276
Barrett	0.076774
Hartsburg	0.0766589
Ervin	0.0766196
Martorano	0.0766069
Bodine	0.0764108
Beilin	0.0763312
Quinn	0.0762913
Kissinger	0.0762829
Hagelin	0.076254
Zuckerman	0.0761469
McMahon	0.0760794
Kushner	0.0760498
Bettman	0.0758087
Keenan	0.0755679
TALBOT	0.0753157
McLaughlin	0.0751706
Allchin	0.0751282
Russo	0.0750725
Weisman	0.0750237
Irwin	0.0748036
Berenson	0.0747475
Levin	0.0746253
Doherty	0.0745433
Quigley	0.0745113
Akbar	0.0744314
Manley	0.0743455
Stadler	0.0743084
frist	0.0742154
Langham	0.074197
"administration official"	0.0738855
Rodionov	0.0736864
Jobe	0.0736418
Bowen	0.0735938
Goldberg	0.0735689
Katz	0.0734343
Sheehan	0.0732858
Skakel	0.0732329
Jaffe	0.0731908
O'Hara	0.072891
Harmoko	0.0727905
Clarke	0.0727556
Schwartz	0.0727394
Walser	0.0727064
Jenoff	0.0726496
Hiddink	0.0726115
Wenger	0.0724368
Villanueva	0.0723935
Zuma	0.0723428
Schrempp	0.0722023
Chan	0.0720844
Kessler	0.0720059
Solich	0.0720041
Constantinescu	0.0719269
Koskinen	0.0718064
Ftorek	0.0716851
Redd	0.0715204
Napolitano	0.0709962
Siazon	0.0708799
Vogel	0.0707445
Bronfman	0.0706957
Goldstein	0.0706685
Markovic	0.0705323
Cem	0.0702874
Sharma	0.070259
Allard	0.0699181
"Orlando Mercado"	0.0698951
Felten	0.069877
LeBlanc	0.0697935
cain	0.0696629
Piot	0.069557
Shevardnadze	0.0695434
Rosenberg	0.0695384
Cabrera	0.0694647
Inman	0.0694007
Unser	0.0692967
Andreychuk	0.0692939
Calipari	0.0692101
McDonnell	0.0691367
Lehman	0.069032
Kenyon	0.0689581
McKinnon	0.0689207
Hoch	0.0687959
Moreno	0.0685849
Slocum	0.0684151
Cline	0.068309
Simmons	0.0682324
Arkin	0.068128
Calhoun	0.0679378
Grossman	0.0677647
Bryan	0.0677305
Hawke	0.0676999
Newcombe	0.0676738
Krzyzewski	0.0676022
Sykes	0.067554
silber	0.0675112
Lo	0.0674451
Torres	0.067442
Bavasi	0.0671761
Hoddle	0.0671683
Davies	0.0669715
Steinberg	0.0669336
Ackerman	0.0669189
McGinnis	0.0668321
Bildt	0.0668106
Leavitt	0.0667716
Coburn	0.0667662
Lim	0.0667567
Rylander	0.0666551
Elliott	0.0666506
Neff	0.0665406
Scharping	0.066416
Hickman	0.0663604
Velayati	0.0663064
Insulza	0.0662214
Kamal	0.0661746
Riordan	0.0661493
Jimenez	0.0661126
Kuchar	0.0660974
Fong	0.0660626
Choate	0.0660611
Gogel	0.066034
Severino	0.0659837
Harrick	0.0659668
Reimer	0.0658925
Flores	0.0658008
Leung	0.0657305
Demaci	0.0657029
Fulmer	0.0657011
Muckler	0.0656342
Rendell	0.0655926
Coffey	0.0655577
Grasso	0.0654424
Iglesias	0.065437
Zambrano	0.0652986
Henley	0.0652895
Boueiz	0.0652358
McVeigh	0.0651801
Jensen	0.0651532
Alarcon	0.0651448
McCullough	0.0651025
McCaffrey	0.0650973
McCray	0.0650911
))
(brownfields (desc 1169.39) (sims
"Agenda @@@@"	0.125254
lockbox	0.100962
snakehead	0.0827831
"well water"	0.0790702
fast-track	0.0752069
"margin call"	0.0739167
"death tax"	0.0724907
Helms-Burton	0.0712812
"Golden Triangle"	0.0695845
Shays-Meehan	0.0688638
groundwater	0.067564
pooling	0.0669643
ERISA	0.066921
Nethercutt	0.0664578
"garbage disposal"	0.0652862
"free radical"	0.0646576
"Helms-Burton Act"	0.0638275
Demutualization	0.0634044
rogue	0.0626601
"Group of Eight"	0.0609713
SBA	0.0605415
"deficit reduction"	0.0594314
"Trojan Horse"	0.059407
wastewater	0.059003
paintbrush	0.0589969
"Red Violin"	0.0588622
"Huaihe River"	0.0585181
"pork barrel"	0.0579442
MDMA	0.0577001
Kyl	0.0568378
"Title IX"	0.0566699
frankfurter	0.0564723
dollarization	0.0550514
"Millennium Bug"	0.0550082
"Reagan Democrats"	0.0549845
Wada	0.0533986
"Stability Pact"	0.0526605
MPAA	0.0526157
"Northern Territory"	0.0517888
"Boston Harbor"	0.0515413
"Small Business Administration"	0.051365
"designer drug"	0.0510341
maquiladoras	0.0504522
"septic tank"	0.0499136
effluent	0.0498603
"shock therapy"	0.0495138
endoscope	0.0490228
"golden parachute"	0.0489232
oil-for-food	0.0483821
"Old Town"	0.0480986
"good Samaritan"	0.047783
Felten	0.0476463
"billion dollar"	0.047477
absolutes	0.0472392
"high wire"	0.046462
"living wage"	0.0463731
one-China	0.0463667
Megan	0.0461662
dilation	0.0460615
mainlanders	0.0455901
PCB	0.0454866
"Joint Strike Fighter"	0.0454114
"Dianchi Lake"	0.0453209
Hollings	0.0452724
Leahy	0.0451946
K-@@	0.0451846
"telephone directory"	0.0449319
carnivore	0.0448603
fief	0.0448101
fibrillation	0.0437818
freelancers	0.0437147
"U.S. Congress"	0.0432573
Qaddafi	0.0432065
Overnite	0.0430402
"blood cell"	0.0426208
"line item"	0.0425943
"storage tank"	0.0424693
"camp site"	0.0420303
hotspots	0.0418114
"navy yard"	0.0417111
reinvestment	0.0414963
encephalopathy	0.0413618
"final exam"	0.0413498
bereavement	0.0412318
identifier	0.0412054
"danger zone"	0.0411742
ecotourism	0.0411222
"ground water"	0.0409768
moat	0.0408005
agglomeration	0.0407256
interoperability	0.0406968
"Super League"	0.040542
conciliator	0.0404795
five-point	0.0402752
firewalls	0.0401831
"House GOP"	0.0401322
"temporary worker"	0.0400154
))
(brownie (desc 8422.42) (sims
cooky	0.179186
cake	0.169899
cheesecake	0.165799
muffin	0.163037
"chocolate chip cookie"	0.143928
Pudding	0.140488
cookie	0.138665
custard	0.138263
Souffle	0.137883
scone	0.137173
pie	0.135849
biscuit	0.131876
fudge	0.130158
"chocolate cake"	0.129868
"ice cream"	0.129858
cupcake	0.129031
TART	0.126955
biscotti	0.124269
pastry	0.120171
frosting	0.116155
crepe	0.112591
torte	0.111338
meringue	0.111007
"layer cake"	0.109379
flan	0.107686
doughnut	0.10743
"chocolate mousse"	0.107253
"cream puff"	0.106051
"pound cake"	0.105858
"pecan pie"	0.104777
bread	0.102645
sundae	0.101746
COBBLER	0.0960664
croissant	0.095275
cracker	0.0946414
mousse	0.0936047
polenta	0.0923789
crust	0.0919335
gingerbread	0.0910961
"pumpkin pie"	0.090336
dessert	0.0903012
"baked goods"	0.0901354
fruitcake	0.0898711
candy	0.0874183
Lasagna	0.0871555
chocolate	0.0870022
lemonade	0.0865357
pancake	0.0863855
cornbread	0.0861289
soup	0.0849224
quiche	0.0847633
"whipped cream"	0.0834545
ravioli	0.0827226
loaf	0.0818808
salad	0.0815022
"apple pie"	0.080967
yogurt	0.0780983
Casserole	0.0766567
meatloaf	0.0764265
pesto	0.0763555
pizza	0.0761096
filling	0.0760855
dough	0.0758765
"french fries"	0.0757866
"potato chip"	0.0755039
pasta	0.0753711
cheese	0.0750036
sauce	0.0742765
sandwich	0.0734588
matzo	0.0730972
ham	0.0724141
cappuccino	0.072127
porridge	0.0716099
"iced tea"	0.070877
noodle	0.0706433
cereal	0.0702364
potato	0.0701703
taco	0.0700927
pretzel	0.0700255
"sweet potato"	0.0699547
"pie crust"	0.0696502
"Caesar salad"	0.068736
sausage	0.0682397
icing	0.0678581
crumb	0.0677977
Hamburger	0.0674105
spaghetti	0.0670491
buttermilk	0.0668439
bean	0.0667583
"cream cheese"	0.0667476
chutney	0.0664644
pumpkin	0.0662803
popcorn	0.0662079
"sour cream"	0.0661435
gravy	0.0661082
risotto	0.0660251
pickle	0.0657415
matzoh	0.0653396
dumpling	0.0644997
bun	0.0642403
chicken	0.0640032
shortcake	0.063678
"barbecue sauce"	0.0635617
focaccia	0.0635431
wafer	0.0635388
milkshake	0.0631918
butterscotch	0.0628405
"creme brulee"	0.06273
"peanut butter"	0.0626498
latke	0.0624355
smoothie	0.062341
enchilada	0.0620452
soda	0.0618973
shortbread	0.0615544
caramel	0.0611551
mayonnaise	0.0605066
meatball	0.0604462
fruit	0.0604154
granola	0.0604112
tortilla	0.06021
jelly	0.0599734
curd	0.0599541
stew	0.0594671
nut	0.0592319
Chili	0.0587512
espresso	0.0586371
eggplant	0.0578728
egg	0.0578651
"goat cheese"	0.0577159
snack	0.0576886
stuffing	0.0572434
"vegetable soup"	0.0572055
bagel	0.0568391
Kool-Aid	0.0567895
brioche	0.0565378
Jell-O	0.056412
Topping	0.0562494
"potato salad"	0.0561345
salsa	0.0559852
"tomato sauce"	0.0558549
"cake mix"	0.0557027
butter	0.0554181
hazelnut	0.0553835
waffle	0.0549947
syrup	0.0545555
dressing	0.0544061
brisket	0.0542423
oatmeal	0.0542309
peach	0.0538649
"macaroni and cheese"	0.0537406
cider	0.0535301
tomato	0.0531488
"hot dog"	0.052932
oreo	0.0526803
sorbet	0.0526744
crawfish	0.0522845
toffee	0.0522739
frittata	0.0522438
apple	0.0522297
nacho	0.0519258
morsel	0.051848
tofu	0.0517522
"wedding cake"	0.0515354
vegetable	0.0515185
ricotta	0.0514358
praline	0.0513448
marinade	0.0512936
"soda pop"	0.051243
canape	0.0511952
melon	0.0510227
crab	0.0510015
tea	0.0506318
serving	0.0504405
"loaf of bread"	0.0500538
"hot chocolate"	0.049935
coleslaw	0.0498049
low-fat	0.049506
cream	0.0492681
carrot	0.0492595
confection	0.0491746
Margarita	0.0490366
cabbage	0.0487547
baguette	0.0486812
gumbo	0.0486333
juice	0.0483462
steak	0.0482715
mushroom	0.0481545
creme	0.0478302
sushi	0.0478258
fig	0.047788
bacon	0.0473688
guacamole	0.0472315
latte	0.0472238
FRY	0.0470462
"orange juice"	0.0469424
"root beer"	0.0469412
slime	0.0467247
honey	0.0467092
artichoke	0.046363
"vanilla ice cream"	0.0462731
))
(browning (desc 4943.19) (sims
Beretta	0.126446
AK-@@	0.113436
M@@	0.0900763
Uzi	0.0871584
Farber	0.0853136
Vogel	0.0851588
Finkel	0.0813166
Glock	0.0759436
Rosenberg	0.0755249
"Smith &AMP; Wesson"	0.0750139
M-@@	0.07185
Zuckerman	0.071555
Rutherford	0.0701529
Jaffe	0.0696022
Weil	0.0692621
Rosenthal	0.0677584
Remington	0.0673321
Duffy	0.0671766
Barlow	0.0652428
Weinberg	0.0650134
Reilly	0.0647813
Hahn	0.0644039
Hanley	0.0643407
Farrell	0.0636197
Barrett	0.0635405
COYNE	0.0634125
Hamlin	0.0631005
Mullen	0.0627287
Silverstein	0.0622373
Henley	0.062002
Pierson	0.0619209
Hurley	0.0615806
Kurtz	0.06152
Daniels	0.061144
Molinari	0.0602197
Cleary	0.059978
Hickman	0.0597347
Healy	0.0595486
Kahn	0.0591325
Baum	0.0591266
McPherson	0.0586251
Brenner	0.0585319
Levine	0.0584395
Cao	0.0582826
Grossman	0.0581209
Brazile	0.0578274
Mckee	0.0573775
Morse	0.0572536
Sheehy	0.0569733
Hirsch	0.0569444
Rivlin	0.0564255
Keller	0.0563932
Brownlee	0.05638
O'Hara	0.0561834
Kagalovsky	0.0560258
Sheedy	0.0549155
Salinger	0.0547608
Currier	0.0547089
Duvall	0.0547033
Macdonald	0.0544886
McDonald	0.0544669
Doyle	0.0543522
T-@@	0.0540342
Lowry	0.0538079
Weiner	0.053717
Hanna	0.0535867
Greenwald	0.0535665
Cline	0.0533664
Winkler	0.0533559
Haynes	0.0531779
Kaplan	0.052977
Weisman	0.0529526
Rosen	0.0529339
Deutsch	0.0528204
calibre	0.052737
Weis	0.0525449
Atwood	0.0523739
Garvey	0.0523347
Ingram	0.0522174
Fay	0.0521604
Soto	0.0520266
PITTS	0.0520016
O'Connell	0.0519092
Ashrawi	0.0518922
Donnelly	0.0518644
Copeland	0.051786
Reyes	0.0517822
Simons	0.0516539
Mcbride	0.0516362
Pollack	0.0515634
Rubenstein	0.0514027
Mahoney	0.0513734
Mapes	0.0513436
singleton	0.0513152
Sorensen	0.0511917
Tam	0.051175
Meissner	0.0509051
Fleming	0.0505113
Kurth	0.0504522
Keenan	0.0504517
Bernstein	0.0504303
Midler	0.0504072
Fiorina	0.0503665
Boyle	0.050365
Carville	0.050343
Davies	0.050121
Talebi	0.0500708
Protas	0.0499877
Berman	0.0499293
Gillespie	0.0498883
Bushnell	0.049745
Goldstein	0.0495193
Lerner	0.0492514
Madden	0.0492393
Wesson	0.0491686
Caldwell	0.0491467
Merritt	0.0490913
Mustafa	0.0490069
Russo	0.0489104
Shulman	0.0488984
Abbott	0.0487985
Richards	0.0487147
Musa	0.048681
Durant	0.0486317
Sims	0.0485365
Ferrer	0.0485093
Wolff	0.0485043
Cohn	0.0484595
Lipstadt	0.0484194
Rowe	0.048335
Echegaray	0.0482884
Meyers	0.0481514
Rowley	0.0481135
Magnum	0.0478858
Wiggins	0.0478774
Parsons	0.0477977
Dion	0.0477803
Huang	0.0477187
Barad	0.0476215
O'Neil	0.047541
Rothschild	0.0472969
Barbour	0.0472075
Sobel	0.0471074
Lurie	0.0470875
Ono	0.0470687
Tilberis	0.0470457
Holmes	0.0470334
McCormack	0.0470254
Pearson	0.0468969
Winchester	0.0468761
Betts	0.0467636
Meehan	0.0467236
Ingalls	0.0466964
Larson	0.046648
clotting	0.0465461
Berg	0.0465187
Epstein	0.0465018
McGrath	0.0464731
angiogenesis	0.0463293
Hsia	0.0462355
Bartoli	0.046199
Mei	0.0461911
Donahue	0.0461728
Aron	0.0461484
Welch	0.0460333
McIntyre	0.0459861
"Bill Lockyer"	0.0459688
Donohue	0.0459282
Auriemma	0.045879
Emery	0.0458398
Trevi	0.0458362
Koch	0.0456101
Shapiro	0.0455347
Salinas	0.0455259
Willey	0.0454937
Gannon	0.0454749
Dickinson	0.045461
Scruggs	0.0453418
Tripp	0.0453328
Gibbons	0.04524
Pape	0.0452122
Kambanda	0.0451282
Stein	0.0451056
Orton	0.0450789
Pearce	0.0450672
Olson	0.0450496
Rodgers	0.0450357
Moran	0.0449789
Maynard	0.0449473
JONAS	0.0449409
Rollins	0.0449393
Raymond	0.0448523
burrows	0.0447787
Yates	0.0447721
Gallagher	0.0447662
Fitzgerald	0.0447409
Nichols	0.0446015
Berenson	0.0445164
Adair	0.0444576
Hoffman	0.044441
))
(Brownlee (desc 2115.25) (sims
Ghani	0.159037
Mikhailov	0.136202
"Russell Peeler"	0.131528
Nikitin	0.128987
Manbar	0.119862
Mitnick	0.112241
Kiareldeen	0.11019
Kurtz	0.108476
Finkel	0.107794
Baumhammers	0.107346
Salemme	0.107059
Fagan	0.106438
Markhasev	0.106339
"El Hage"	0.105667
Kaczynski	0.105231
Gauthe	0.105054
Mudge	0.105048
Demjanjuk	0.102157
Khalil	0.101308
Elhage	0.101131
Arizmendi	0.100947
McWilliams	0.100853
McKinney	0.100226
Shayler	0.0995768
Sebaggala	0.0994734
Wan	0.0991165
Soliah	0.098485
Tarver	0.098389
Romanowski	0.0983328
Fortier	0.0982757
Neulander	0.0982225
Frankel	0.0973268
"Albert Pirro"	0.0971082
Carruth	0.0967255
Berenson	0.096487
Laudor	0.0962791
Meskini	0.0950521
"Maturino Resendiz"	0.094796
LeFave	0.0947053
"Bin Laden"	0.0941432
Harris-Lewis	0.0939619
Fassett	0.0939039
Mullen	0.0935538
Jewell	0.0934685
Karr	0.0927942
Schwarz	0.0927402
Copeland	0.0926822
Whitacre	0.0922933
Merlino	0.0919971
Hsia	0.0917567
Giacchetto	0.091708
Garofalo	0.0913439
Haouari	0.0909353
Bruder	0.0908231
Donahue	0.0898186
Valenzuela	0.088385
Jenoff	0.0882633
Qureshi	0.0882162
Riady	0.0880219
Al-Amin	0.0877757
Einhorn	0.0876263
Lileikis	0.0869951
Jaffe	0.0864481
McGinn	0.0863495
Coe	0.0858209
Henley	0.0856668
Yoo	0.0852922
Ng	0.0851505
Slaney	0.0849325
Blackthorne	0.0847767
Hofer	0.0845993
Levesque	0.0845392
Faget	0.0843775
KEVORKIAN	0.0843695
Reimer	0.0842666
Chung	0.0842547
"Raul Salinas"	0.084164
McVeigh	0.0840606
Sweeting	0.0836144
Drabinsky	0.0832041
Kodikian	0.0828789
Keating	0.082621
Gusinsky	0.0821239
Ingraham	0.081581
Bakaly	0.0815726
Schmitz	0.0813625
Haughey	0.0812255
Vogel	0.080737
Koop	0.0806484
Eappens	0.0806251
Luong	0.0806126
Zuckerman	0.0803244
Stayner	0.0800595
Kurth	0.0798875
Ramseys	0.0796133
leeson	0.0795374
Ntakirutimana	0.0790274
Mapes	0.0788509
Papon	0.0788158
Agca	0.0787434
Boesak	0.0786865
Olson	0.0786445
Mattysse	0.0785542
Murr	0.0784802
Lipstadt	0.0783652
Garza	0.0776678
Kopp	0.0775953
Skakel	0.077515
Silverstein	0.0775136
Faulder	0.0774005
Moran	0.0770997
Trie	0.0769968
Lazarenko	0.0768174
Hoke	0.076504
Paciello	0.0762629
Winkler	0.0762273
Mcbride	0.0761383
Hirschfeld	0.0760812
Mease	0.0760762
Abu-Jamal	0.0760215
Gutman	0.076009
Gotti	0.0755358
Montiel	0.0751217
Nichols	0.0749115
McGill	0.0748932
Bove	0.074751
"Louise Woodward"	0.0746411
Brennan	0.0746069
"La Mont"	0.0742302
Cheung	0.0742086
Kehoe	0.0738362
Cleary	0.0736749
Schiffer	0.073428
Howell	0.0734135
Sakic	0.0731603
Steele	0.0731172
Haney	0.0730684
Callaghan	0.0728471
Wiese	0.07268
Meissner	0.0726119
Talebi	0.0724192
Meggett	0.0722904
Priebke	0.0722386
Cheng	0.072105
Prewitt	0.0719579
Tanaka	0.0716644
looper	0.0716211
Abernathy	0.0716158
Natale	0.0715359
Ershad	0.0713929
Pirro	0.071333
Simons	0.071104
Daniels	0.0710717
Easley	0.0710563
Cowan	0.070802
Krstic	0.0707985
Martorano	0.0704608
Reilly	0.0703228
Weisman	0.0702746
Hiett	0.0702213
Goldstein	0.0700889
Katzenberg	0.0700093
Mustafa	0.0699906
peeler	0.0699577
Robison	0.0697571
Adair	0.0696267
Rao	0.0696167
"Marianne Gingrich"	0.0695661
Dele	0.069499
Echegaray	0.0694098
Druckenmiller	0.0692626
Astacio	0.0690347
Durant	0.0689768
Gravano	0.0686874
Trischitta	0.068667
Nickerson	0.0686343
Sharma	0.0686083
Caruso	0.0685071
Kozeny	0.0684843
Livoti	0.0684521
dale	0.068447
Arum	0.0684031
Shandling	0.0683747
Chang	0.0683199
Segal	0.0679976
Piggie	0.0679146
Hersh	0.067856
singleton	0.067465
Haynes	0.0674593
Lim	0.0673323
Lepage	0.0670478
Musa	0.0670111
burrows	0.0668848
Ressam	0.0668095
Sheppard	0.0667889
Kimeses	0.066757
Dokmanovic	0.0666755
Swango	0.0665872
Kagalovsky	0.0663222
Zeng	0.0663006
))
(brownout (desc 2289.17) (sims
outages	0.131834
"power failure"	0.128045
blackout	0.110471
outage	0.0990584
cutoffs	0.0915068
heatwave	0.0844178
"market correction"	0.0842096
disruption	0.0834732
"crop failure"	0.0813064
interruption	0.0762543
malfunction	0.075461
shutdown	0.0747753
"short circuit"	0.0721229
convulsion	0.0706859
recruiting	0.0699706
"bank failure"	0.0681515
foul-up	0.0670263
looting	0.0669163
gabfest	0.0668431
tie-up	0.0649381
stayaway	0.0648058
migraine	0.0642098
"cash crunch"	0.0636343
stoppage	0.06252
"ad blitz"	0.062011
shakeout	0.0618774
"rain shower"	0.0611235
bleeding	0.0609819
"heat wave"	0.060618
"fatal accident"	0.0603222
"work stoppage"	0.0601072
unpleasantness	0.0600255
breakage	0.0590074
"road show"	0.0587974
temblor	0.0587502
"Field Poll"	0.0585129
"bowling ball"	0.0575141
"food poisoning"	0.0574435
rationing	0.0571766
glitch	0.0568586
"volcanic eruption"	0.0564396
bloodbath	0.0563959
dislocation	0.0555684
gentrification	0.0548282
walkout	0.0545502
downdraft	0.0545046
"brain drain"	0.054245
overheating	0.053823
hoarding	0.0536487
insulator	0.0528521
"cold spell"	0.0525749
"bankruptcy filing"	0.0524806
"management change"	0.0524176
retrenchment	0.052373
subsidence	0.0520142
Sevens	0.0518005
roadshow	0.0516486
sickout	0.0516162
"crime wave"	0.051605
"snake eyes"	0.0513891
atherosclerosis	0.0513454
"police action"	0.0513363
"price reduction"	0.0512217
"engine failure"	0.0511529
turbulence	0.0511505
Problems	0.0508339
"nervous breakdown"	0.0508033
hemorrhage	0.0503684
meltdowns	0.0502923
"panic attack"	0.0501835
flare-up	0.0501046
nosebleed	0.0500606
"liquidity problem"	0.0500569
"chemical reaction"	0.0500039
deflation	0.049885
invisibility	0.0498242
ruckus	0.0496985
"grammar school"	0.0494344
"traffic jam"	0.0489185
displacement	0.0488551
hailstone	0.0486724
sluggishness	0.0485196
downpour	0.0484583
rollout	0.0484414
splurge	0.0483366
"price change"	0.0483251
"earnings disappointment"	0.0480905
"Starr Report"	0.0480377
"water pollution"	0.0479748
"air current"	0.0478928
mudslide	0.0478222
calamity	0.047639
hiccup	0.0473482
nuttiness	0.0472801
"violent death"	0.0472528
closings	0.0471091
"military drill"	0.0470909
"memory loss"	0.0468304
spillage	0.0467988
decomposition	0.0467681
"job cut"	0.0466789
contagion	0.0465516
sunburn	0.0463474
"Kosovo Serbs"	0.0463288
worsening	0.0463185
miscarriage	0.0462109
nullification	0.0461943
cataclysm	0.0461758
sandstorm	0.0460386
downturns	0.0458919
"Consolidated Edison"	0.045882
"price war"	0.0458735
"field trial"	0.0458499
"atmospheric condition"	0.0458425
congestion	0.0457107
squall	0.0455763
P-@	0.0454637
contingency	0.0454619
hiatus	0.0451283
contraction	0.0450552
misperception	0.044987
"starting time"	0.0449567
snafu	0.0449455
"news program"	0.0449295
"contagious disease"	0.0445446
"flash flood"	0.0445045
dryness	0.044162
gangrene	0.0441026
shakeup	0.0439675
"margin call"	0.0439225
malnutrition	0.0437473
"heat exhaustion"	0.0437157
conflagration	0.0436295
hyperactivity	0.0433674
predominance	0.0432343
slippage	0.0432278
corrosion	0.0432172
tremor	0.0431961
"cold wave"	0.0431459
"more than @@.@ billion yuan"	0.0429569
"foot-and-mouth disease"	0.0428132
"high temperature"	0.042758
hardening	0.0427304
devastation	0.0426454
Burnout	0.0425124
"fund-raising campaign"	0.0424984
sell-off	0.0424777
PLN	0.0424666
inundation	0.0424546
"proxy fight"	0.0424279
"election fraud"	0.0423891
scarcity	0.0423609
pileup	0.0423176
"asthma attack"	0.0423042
"plant closing"	0.0421858
"soil erosion"	0.0421649
shrinkage	0.0420766
"Red Violin"	0.0420738
"dog bite"	0.0420577
discoloration	0.0419394
"hunger strike"	0.0418372
permissiveness	0.041719
relapse	0.0416175
amnesia	0.0415895
thundershowers	0.0415875
tuner	0.0415828
reshuffling	0.0415736
vibration	0.0415465
"Millennium Bug"	0.0415265
brouhaha	0.0415147
"Operation Desert Fox"	0.0414676
"respiratory disease"	0.041447
"weather forecaster"	0.0414336
rollovers	0.0414034
"liver disease"	0.0413715
sell-offs	0.0413256
dragnet	0.04117
dizziness	0.0410965
mishap	0.0410591
"hot flash"	0.041017
manoeuvre	0.0409705
"bear market"	0.0409158
gyration	0.0409143
deprivation	0.0408568
clicker	0.0407205
"financial loss"	0.0406615
rainstorm	0.0406361
"stock buyback"	0.0405754
"skin disease"	0.0405312
Rains	0.040475
"relay stations"	0.0403283
"guessing game"	0.040297
downtrend	0.0402822
ignominy	0.0401438
"accounting problem"	0.0400962
"dust storm"	0.0400516
denouncement	0.0400098
))
(brownstone (desc 8227.01) (sims
"town house"	0.221384
townhouse	0.219994
tenement	0.173997
"apartment building"	0.153401
"row house"	0.14536
condominium	0.132653
"apartment house"	0.132355
"carriage house"	0.129807
loft	0.122105
duplex	0.120343
mansion	0.115506
apartment	0.112724
"ranch house"	0.111839
bungalow	0.104772
"office building"	0.103166
storefront	0.102708
"subway station"	0.0972017
farmhouse	0.0950316
"Public School @@"	0.0942236
cottage	0.0939299
"mobile home"	0.0925872
penthouse	0.0923216
high-rise	0.0893593
townhouses	0.0891245
condo	0.0880844
"Hollywood Hills"	0.0855885
co-op	0.0855787
two-story	0.0847881
firehouse	0.0847618
"station house"	0.0826644
Villa	0.0819982
walk-up	0.0816366
"log cabin"	0.0811387
coop	0.0800531
Chateau	0.0785928
"beach house"	0.0785065
"manor house"	0.0782885
"Park Slope"	0.0767787
Tower	0.0754458
Warehouse	0.0746816
garage	0.0744968
"studio apartment"	0.0743382
dwelling	0.0728889
brick	0.0727365
"Greek Revival"	0.0725969
sandstone	0.0717331
stucco	0.0713833
"Washington Heights"	0.0711716
shanty	0.0711328
Victorian	0.0691851
dormitory	0.0691076
Reichstag	0.06852
"Union Station"	0.0685122
nightclub	0.0681288
bistro	0.0672765
synagogue	0.0669203
"liquor store"	0.0665305
inn	0.0664513
edifice	0.0658213
"art gallery"	0.0651452
Colonial	0.0648982
"B&AMP;B"	0.0648269
"police precinct"	0.0644883
"vacant lot"	0.0644849
"bank building"	0.0644788
gallery	0.0644701
flats	0.0644508
"Park Avenue"	0.0641249
"navy yard"	0.0639654
courthouse	0.063811
skyscraper	0.0634006
manor	0.0633821
"East Village"	0.0631671
doorman	0.0630632
"Fifth Avenue"	0.0627273
hacienda	0.0622329
"office space"	0.061613
pizzeria	0.0613659
landmark	0.0613462
Tudor	0.0612201
parlor	0.0611979
"parcel of land"	0.0603323
"shopping center"	0.0601352
speakeasy	0.0600963
oceanfront	0.0593238
"Public School @@@"	0.059197
"Hell's Kitchen"	0.0590423
facade	0.0588531
"Empire State"	0.0588524
pier	0.0588335
precinct	0.0587353
limestone	0.0586319
motel	0.0585987
barn	0.0584356
cafe	0.0581875
"North End"	0.0580676
"elementary school"	0.0580312
"country house"	0.0578581
shack	0.0576437
Convent	0.0573694
Bronx	0.0568949
boutique	0.0565019
"Studio City"	0.0564303
rotunda	0.0564119
clapboard	0.056205
pub	0.0560553
dorm	0.0555047
houseboat	0.0553188
tavern	0.0552721
"coffee shop"	0.055184
"office block"	0.0551233
"funeral home"	0.055014
terrace	0.054752
waterfront	0.0547215
beachfront	0.0546374
bedroom	0.054311
"repertory company"	0.0543002
"West Village"	0.0536166
"Greenwich Village"	0.0531724
gym	0.0530271
"dance hall"	0.052974
schoolhouse	0.0528651
delicatessen	0.0528347
"tea house"	0.0527556
atrium	0.05262
"Crown Heights"	0.0525987
bakery	0.0525536
"railroad car"	0.0516052
emporium	0.0512528
suite	0.0511626
Igloo	0.0510214
chapel	0.0507271
"terra cotta"	0.050603
"East Los Angeles"	0.0505716
"watering hole"	0.0505683
rebuilt	0.0505456
trailer	0.0505383
"criminal court"	0.0504875
riverside	0.0504494
Buckhead	0.0504221
sidewalk	0.0503457
granite	0.0503128
alleyway	0.0503097
"trailer park"	0.0501915
"Central Park West"	0.0501548
palace	0.0499634
Castle	0.0497416
"clothing store"	0.0496799
frontage	0.049414
outhouse	0.0494128
"Manhattan Beach"	0.0494035
"sitting room"	0.0493535
coffeehouse	0.0492303
"private school"	0.0492249
"cinder block"	0.0492027
salon	0.0490545
"East New York"	0.0489183
courtyard	0.0488636
Bensonhurst	0.0488441
hut	0.0488382
"department store"	0.0484114
cellblock	0.0479516
"Upper East Side"	0.0478713
"cotton mill"	0.0478378
Harlem	0.0476698
cubicle	0.0475963
Cathedral	0.0475951
"hotel room"	0.04758
Palazzo	0.0475131
flagstone	0.0474087
mosque	0.0473955
"P.S @@@"	0.0473301
homestead	0.0472964
Sarasota	0.0470662
ballroom	0.0469796
two-bedroom	0.046787
outbuilding	0.0467829
"bell tower"	0.0466573
"rooming house"	0.0466464
"fire station"	0.0465071
playground	0.0464551
Steakhouse	0.0464351
"mink coat"	0.0464168
"living room"	0.0464017
bed-and-breakfast	0.0463339
"Chrysler Building"	0.0463283
"movie theater"	0.046275
"town hall"	0.0461968
"railroad station"	0.0461226
"opera house"	0.0460084
"housing development"	0.0459721
lounge	0.0459175
"art deco"	0.0454999
Englewood	0.0454914
"Grand Central Terminal"	0.0454603
auditorium	0.0454177
"nursing home"	0.0453076
brewery	0.0452462
"day care center"	0.0451443
"Battery Park City"	0.0450115
))
(Brownsville (desc 8737.73) (sims
"El Paso"	0.236469
Laredo	0.220966
Harlingen	0.204582
McAllen	0.199987
Beaumont	0.168585
"Corpus Christi"	0.163655
Lubbock	0.156789
"Del Rio"	0.146174
"San Antonio"	0.140403
"Ciudad Juarez"	0.138684
Texarkana	0.136471
"Park Slope"	0.134222
Juarez	0.127123
Albuquerque	0.125435
Wilmington	0.121725
"Little Rock"	0.119787
Newark	0.118874
ASHEVILLE	0.11872
"West Palm Beach"	0.118457
anchorage	0.117572
"Baton Rouge"	0.115924
"Fort Worth"	0.115258
Huntsville	0.113795
"Eagle Pass"	0.113496
Austin	0.113064
Fresno	0.112522
Honolulu	0.111046
Galveston	0.11101
"White Plains"	0.109593
Amarillo	0.108263
"Fort Lauderdale"	0.107244
Waco	0.106344
Akron	0.105324
Tucson	0.104859
Abilene	0.103511
Jasper	0.102641
Houston	0.102529
midland	0.102351
Williamsburg	0.102302
"Nuevo Laredo"	0.102053
"New Haven"	0.10133
Spokane	0.101007
Redding	0.100451
Tijuana	0.100194
TRENTON	0.100095
"Key West"	0.100056
Raleigh	0.0994442
Dallas	0.0990758
"College Station"	0.0988313
Albany	0.0988289
"Crown Heights"	0.0988206
"Saratoga Springs"	0.0981249
Hartford	0.098055
Rochester	0.0976569
"La Paz"	0.0958589
Bensonhurst	0.0951646
"Miami Beach"	0.0949949
"Garden City"	0.0947434
Minneapolis	0.0947388
Bangor	0.0946573
Richmond	0.0939549
Port-au-Prince	0.0939078
Glendale	0.0934871
Wichita	0.0934132
Utica	0.0928876
Guadalajara	0.0925577
"San Diego"	0.0923517
Chattanooga	0.0922862
"Highland Park"	0.0921655
Naples	0.0920876
Brooklyn	0.0918791
"Mexico City"	0.0913815
Tampa	0.0911924
Bridgeport	0.0909919
"San Juan"	0.090734
"East New York"	0.0905163
Odessa	0.0904569
Eureka	0.0900517
Tacoma	0.089858
Greenville	0.0898011
"Brighton Beach"	0.0897452
"Wichita Falls"	0.0896844
TALLAHASSEE	0.0889839
"Guatemala City"	0.0887358
"Oklahoma City"	0.0885273
Ensenada	0.0881433
Arlington	0.0879052
Lufkin	0.0877613
Poughkeepsie	0.0873425
LAKEWOOD	0.0872964
"San Salvador"	0.0871003
Yonkers	0.0869603
Pensacola	0.086682
Camden	0.0865087
"Kansas City"	0.0864189
Manado	0.0864005
"San Francisco"	0.0861595
"San Angelo"	0.0857602
Stamford	0.0856653
"Borough Park"	0.0855833
Halifax	0.0855701
"St. Petersburg"	0.0854658
"New Rochelle"	0.0847405
Savannah	0.0847051
"Los Angeles"	0.0846116
BOGOTA	0.0844481
Springfield	0.0844121
Macon	0.0838899
Paterson	0.0837688
Nogales	0.0833177
Astoria	0.0832949
"East St. Louis"	0.0832155
Holyoke	0.0826674
Xenia	0.0825433
"Des Moines"	0.0824641
Sacramento	0.0820474
Vladivostok	0.0820054
"Santo Domingo"	0.0819162
Plano	0.0818933
Schenectady	0.0818474
"San Marcos"	0.0816918
"New Orleans"	0.0813873
Norfolk	0.0810879
Birmingham	0.0809831
Gainesville	0.080872
Chatham	0.0805261
Charleston	0.0804274
Shreveport	0.0803402
BUDAPEST	0.0802298
Phoenix	0.0800743
Memphis	0.0800587
Fredericksburg	0.0800427
Medford	0.0798134
Columbus	0.0795781
Murmansk	0.0791564
Alexandria	0.0790793
Youngstown	0.0790649
Missoula	0.079038
Pasadena	0.0789428
Matamoros	0.0788004
BRIGHTON	0.0787443
Yuma	0.0784636
CARACAS	0.0784423
Acapulco	0.0782661
Morristown	0.0781604
Louisville	0.0781287
Krakow	0.0779913
"Atlantic City"	0.077968
Flagstaff	0.0778646
"Overland Park"	0.0777067
Northampton	0.0775011
"Bay Ridge"	0.0769934
Lexington	0.0768813
Xian	0.0767893
Carthage	0.0767454
"Palm Beach"	0.0766702
"St. Paul"	0.0762698
Hattiesburg	0.0762344
Jamestown	0.0759463
Denver	0.075854
"Las Vegas"	0.0758255
"Long Island City"	0.0757914
"Cape Town"	0.0757505
Sidon	0.0755989
Dushanbe	0.0753962
Laramie	0.0753059
Bedford-Stuyvesant	0.0750392
Seattle	0.0750358
Duluth	0.0750106
Longview	0.0749579
"East Orange"	0.0748893
Burlington	0.0747243
"Ho Chi Minh City"	0.0744727
Baltimore	0.0744105
Montclair	0.0743933
Hamburg	0.0743718
"Salt Lake City"	0.0743566
"Cedar Rapids"	0.0743081
"Santa Barbara"	0.0742103
Izmir	0.0739501
"Tel Aviv"	0.0738318
"Newport Beach"	0.0737215
"Red Hook"	0.0737003
Miami	0.0736214
Portland	0.0734907
Chester	0.0733581
Hillsboro	0.0733043
"Fort Myers"	0.0729949
"Sao Paulo"	0.0728392
Watertown	0.0726097
"Jersey City"	0.072591
"New York City"	0.0724955
Nacogdoches	0.0723705
Decatur	0.0723691
Augusta	0.0722309
"Twin Cities"	0.0721316
Denton	0.0719521
Jacksonville	0.0717369
Malaga	0.0716674
"Santa Fe"	0.0716065
))
(browser (desc 50645) (sims
"Internet Explorer"	0.258469
"operating system"	0.214004
software	0.211215
browsers	0.204529
"Windows @@"	0.16569
Netscape	0.123447
Linux	0.12275
PC	0.120859
MS-DOS	0.115012
Computer	0.112661
server	0.110464
"Windows NT"	0.107197
modem	0.105161
"personal computer"	0.102335
AOL	0.0949254
Portal	0.0936659
desktop	0.0926854
"word processor"	0.0924707
device	0.0924195
database	0.0917831
Internet	0.0917443
interface	0.0910228
microprocessor	0.0900278
window	0.088876
spreadsheet	0.0884386
application	0.0882749
"programming language"	0.0879373
"source code"	0.0872137
hardware	0.0870578
user	0.0869766
web	0.08669
machine	0.0866839
"Mac OS"	0.0863965
upgrade	0.0859557
technology	0.0859074
chip	0.0858187
product	0.0857062
"word processing"	0.0855302
scanner	0.085484
"Windows CE"	0.0846434
OS/@	0.0841026
Macintosh	0.0838777
directory	0.0837681
Microsoft	0.0836154
CD-ROM	0.0830274
version	0.0825355
"Windows @@@@"	0.0819488
"Office @@@@"	0.0816725
Unix	0.0812872
"Microsoft Office"	0.0810352
browsing	0.0801027
DOS	0.0798748
processor	0.0793541
printer	0.0789152
system	0.0788978
feature	0.0781833
navigator	0.078113
service	0.0771708
"software package"	0.0769843
email	0.0769766
file	0.0768641
program	0.0758306
access	0.0756989
engine	0.0756022
password	0.0753466
"software product"	0.0748441
site	0.0743204
functionality	0.0742524
Java	0.0741298
"computer network"	0.0740568
page	0.0738946
ISP	0.0733799
phone	0.072771
code	0.0718473
tool	0.0711584
keyboard	0.0710435
"America Online"	0.0703659
network	0.0695991
laptop	0.069498
mouse	0.0694494
provider	0.0693993
audio	0.0691465
Mac	0.0687925
information	0.066837
"Microsoft Word"	0.0661749
MSN	0.0661625
folder	0.0659856
"phone service"	0.0659467
"World Wide Web"	0.0658644
card	0.0657148
wireless	0.0645837
"cellular phone"	0.0644958
equipment	0.0643793
model	0.064279
workstation	0.0641797
download	0.0634317
Napster	0.0633552
networking	0.0633439
"computer program"	0.0630702
"desktop computer"	0.063025
iMac	0.0630053
icon	0.0627249
screen	0.0627011
suite	0.0625201
Explorer	0.062411
"telephone service"	0.0622269
cable	0.0618649
graphics	0.0617782
platform	0.0617382
console	0.0616791
CD	0.06123
"user interface"	0.0612134
video	0.0610583
Hotmail	0.0610168
customer	0.0606765
filter	0.0605501
monopoly	0.0604182
content	0.0601861
Encryption	0.0596366
data	0.0594693
WebTV	0.0593416
communicator	0.0593413
DSL	0.0593344
offering	0.0590354
brand	0.0590171
"software system"	0.0588605
intranet	0.0586864
subscriber	0.0586841
component	0.0584938
connectivity	0.0583547
"phone line"	0.0582993
handset	0.0581416
connection	0.0581259
MP@	0.0577859
gadget	0.0576135
peripheral	0.0574786
BIOS	0.0573553
"laptop computer"	0.0572672
disk	0.0571389
competitor	0.0570732
microchip	0.0568158
"computer game"	0.0564629
e-commerce	0.056398
format	0.0562807
homepage	0.0562485
document	0.056065
"electronic mail"	0.0558217
"computer hardware"	0.0557124
configuration	0.055712
box	0.0556589
programming	0.0554905
shareware	0.055102
"credit card"	0.0550712
copy	0.0542121
appliance	0.0541919
button	0.0537724
"disk drive"	0.0536592
multimedia	0.0535887
telephone	0.0534663
channel	0.053315
"hand-held computer"	0.0532818
material	0.053187
"fax machine"	0.0530097
telephony	0.052694
switch	0.0526848
CompuServe	0.052596
mainframe	0.0525237
camera	0.0524562
pagers	0.0524285
calendar	0.0523818
Yahoo	0.0520785
menu	0.0517474
capability	0.0517397
bandwidth	0.051692
surfer	0.0515703
commerce	0.0515366
"telephone network"	0.0515338
"telephone system"	0.0513502
function	0.0511831
battery	0.0511285
text	0.0510406
vehicle	0.0509858
"computer code"	0.0509134
"memory chip"	0.0506628
condom	0.0506217
websites	0.0506102
computing	0.050567
"control panel"	0.0504897
chat	0.0504419
kiosk	0.050415
Robot	0.0503333
utility	0.0502428
Advertising	0.0502212
"customer service"	0.0500815
router	0.0499222
Gateway	0.0499043
surfing	0.0498214
consumer	0.0495631
item	0.0495199
pager	0.0493648
))
(browsers (desc 15415.1) (sims
browser	0.204529
"operating system"	0.134933
"Internet Explorer"	0.130122
software	0.122944
"Outlook Express"	0.107738
"word processor"	0.0999011
"programming language"	0.0884046
"Windows @@"	0.0867515
MS-DOS	0.086501
"word processing"	0.0848572
"software package"	0.0845175
"hand-held computer"	0.0844835
modem	0.0844182
server	0.0838903
Linux	0.0828018
PC	0.081463
"personal computer"	0.0810794
microprocessor	0.0799965
"Netscape Navigator"	0.0794425
Eudora	0.0781281
"Office @@@@"	0.0780365
"Mac OS"	0.0773434
"application program"	0.0768317
Computer	0.076797
workstation	0.0766893
spreadsheet	0.0763449
pagers	0.0761723
quicken	0.0756441
DVDs	0.0739958
"Windows NT"	0.0728853
"desktop computer"	0.0726627
"Windows @@@@"	0.071273
"computer language"	0.0706607
Macintosh	0.0704962
hardware	0.0702137
device	0.0698735
processor	0.0694406
router	0.0693834
"software product"	0.068796
application	0.0687621
Portal	0.0685198
printer	0.0681314
CD-ROM	0.0681277
surfer	0.0679929
browsing	0.0677515
shopper	0.0670464
ISPs	0.0669942
scanner	0.0669115
password	0.0663814
"user interface"	0.0660892
"Microsoft Word"	0.0657724
chip	0.0655308
Unix	0.0654124
user	0.0652364
shareware	0.0652245
connectivity	0.0645762
"source code"	0.0645385
"Windows CE"	0.0643946
firewalls	0.0643941
database	0.0632938
iMacs	0.0632726
laptop	0.0625286
DOS	0.0624732
interface	0.0623681
"UNIX operating system"	0.0620786
appliance	0.0620315
desktop	0.0620177
Netscape	0.0611326
"computer program"	0.0610037
ICQ	0.0600673
"electronic mail"	0.0600459
"phone service"	0.0594145
"Palm Pilots"	0.0593061
communicator	0.0590116
Java	0.058569
directory	0.058242
surfing	0.0578516
wireless	0.0577243
copier	0.0576468
"Windows Media Player"	0.0576394
navigator	0.0572523
homebuyers	0.0572292
OS/@	0.0569418
"computer hardware"	0.0568915
RealPlayer	0.0568275
Napster	0.0565952
gadget	0.0564968
"Palm VII"	0.0564571
websites	0.0561049
"cellular phone"	0.0560227
homepages	0.055924
telephony	0.0558309
keyboard	0.0554464
gizmo	0.0554192
motherboards	0.054828
"disk drive"	0.0545061
email	0.0540161
Reader	0.0539784
subscriber	0.0538675
provider	0.0535789
"software system"	0.0533732
audio	0.0532923
semiconductor	0.0531215
"telephone service"	0.0531204
"computer network"	0.0530721
Mac	0.0528566
AOL	0.0525484
"portable computer"	0.0524734
format	0.0524
PowerPoint	0.0518831
MP@	0.0517595
MP@s	0.0517501
supercomputers	0.0516544
microchip	0.0515611
console	0.0512233
handhelds	0.0512109
functionality	0.0511156
mainframe	0.0510724
Programmer	0.0506111
"tv set"	0.0504886
"Microsoft Windows"	0.0503717
Os	0.0503242
"computer game"	0.0499263
"fax machine"	0.0498337
computing	0.0498277
"electronic device"	0.0497468
WebTV	0.0496634
"telephone system"	0.0496632
beepers	0.0494533
"phone line"	0.0494251
"laptop computer"	0.049326
graphics	0.0492787
"Palm Pilot"	0.0491467
"cellular telephone"	0.0490977
networking	0.0489019
developer	0.0488599
peripheral	0.0487687
advertiser	0.0486678
"video game"	0.0486646
"communications service"	0.0484917
"communications equipment"	0.0484033
"phone system"	0.0484027
"America Online"	0.0483861
Encryption	0.0483804
saver	0.048334
"Internet Service Providers"	0.048196
webcams	0.0481299
"utility program"	0.0479618
ISP	0.0477025
multimedia	0.0475272
postings	0.0472681
"New Jerseyans"	0.0470013
viewer	0.046983
calculator	0.0466137
MSN	0.0465967
"television set"	0.0465954
gamers	0.0464646
PlayStation	0.0464091
manual	0.0463171
"brokerage account"	0.0461021
ECNs	0.0460187
"Windows @.@"	0.0459495
e-commerce	0.0459386
dictionary	0.0459074
"Microsoft Office"	0.0454644
Explorer	0.045342
WordPerfect	0.0453182
disk	0.0452184
"prescription drug"	0.0449547
"safety feature"	0.0449266
Jukebox	0.0447771
bookmark	0.0447383
e-BOOKS	0.0447331
"consumer electronics"	0.0446694
worksheet	0.0445661
freebies	0.0445525
SUVs	0.0444912
"Beanie Babies"	0.044433
"home buyer"	0.0441002
bandwidth	0.0440692
supplier	0.04398
intranets	0.0438596
iMac	0.0436918
"bulletin board"	0.0432532
vendor	0.0432505
techies	0.0432419
seller	0.0430615
"memory chip"	0.0429465
kit	0.0428222
Lycos	0.0425851
marketers	0.042506
desktops	0.0424627
"electronic equipment"	0.0424344
Beijingers	0.0423716
handset	0.0422587
Apache	0.0417834
folder	0.0416362
"computer code"	0.0416053
Encyclopedia	0.0415954
Yahoo	0.0415266
))
(browsing (desc 5480.78) (sims
"word processing"	0.124573
filtering	0.123219
spreadsheet	0.106841
telephony	0.106247
personalization	0.104215
surfing	0.103783
"electronic mail"	0.0842991
browser	0.0801027
"caller ID"	0.0795344
connectivity	0.0775452
videophone	0.0767156
"call waiting"	0.0741641
"information gathering"	0.0739032
shopping	0.0737519
computing	0.0727907
"Windows CE"	0.0717844
Gaming	0.0702487
"word processor"	0.068984
commuting	0.0689462
navigation	0.0688262
browsers	0.0677515
networking	0.0655253
playback	0.0654736
retrieval	0.0635984
intranet	0.0622558
PalmPilot	0.0618747
"Mac OS"	0.0612613
multimedia	0.0611151
Encryption	0.0608058
synchronization	0.0606774
sightseeing	0.0599121
e-commerce	0.0598195
dictation	0.0593641
ISDN	0.0579795
"bulletin board"	0.0576941
emulator	0.0576351
"mainframe computer"	0.0573959
viewing	0.057331
typing	0.0571827
WordPerfect	0.0570073
forwarding	0.0569748
"Palm VII"	0.0569009
dining	0.0565083
ICQ	0.056239
scheduling	0.0561837
wandering	0.0561495
"communications service"	0.0561396
directory	0.0559904
PowerPoint	0.055954
"shopping cart"	0.0554092
homepages	0.0551527
"cellular phone"	0.0547861
babysitting	0.0547029
"data communication"	0.0544263
"data entry"	0.0536802
"data processing"	0.0536449
"telephone service"	0.0534193
"greeting card"	0.0530537
eating	0.052972
"phone service"	0.0529524
transmission	0.0527124
customization	0.0520726
OS/@	0.0520307
"back office"	0.0520253
interactivity	0.0518767
usage	0.0513886
emulation	0.0512585
newsgroups	0.0507507
sorting	0.0505293
"customer service"	0.0504922
pager	0.0504868
bookmark	0.0499079
bookkeeping	0.0496341
deductibility	0.0495181
"computer application"	0.0492306
DSL	0.0491354
jamming	0.0490183
"fax machine"	0.0490125
"physical therapy"	0.0488172
Mach	0.0483409
"electronic communication"	0.0480618
classifieds	0.0480289
booking	0.0478079
visualization	0.0477954
interface	0.0477913
horoscope	0.0477589
"artificial intelligence"	0.0477544
"hand-held computer"	0.0477328
retailing	0.0476241
imaging	0.047233
SIESTA	0.0471682
listening	0.0471181
decoding	0.046995
plowing	0.0468418
chitchat	0.0466046
copying	0.0465866
"pen pal"	0.046581
"degree program"	0.0464534
audio	0.046375
"Palm Pilot"	0.0461989
"phone system"	0.0460425
"programming language"	0.0456388
editing	0.0455095
"toy retailer"	0.0455041
BLUETOOTH	0.0454907
correspondence	0.0449743
"information service"	0.0449632
demo	0.0449364
"Windows @.@"	0.0449058
tutoring	0.0449039
Indexing	0.0447813
pagers	0.0447561
beepers	0.0447028
gardening	0.044682
"desktop computer"	0.0446257
"inventory control"	0.044565
karaoke	0.0445202
collaborative	0.0445086
"cellular telephone"	0.0442798
newsgroup	0.0440789
"Internet Explorer"	0.0440691
broadband	0.0436472
e-business	0.0434442
"computer hardware"	0.0434332
"Microsoft Windows"	0.0433303
healing	0.043008
cross-fertilization	0.0429323
superhighway	0.0429269
sleuthing	0.0428848
nightlife	0.0427127
"computer network"	0.0426473
postage	0.0424733
CompuServe	0.0422388
ecotourism	0.0422366
intranets	0.0421987
Gnutella	0.0421503
"telephone set"	0.0421267
Hotmail	0.0421244
"tax advantage"	0.0420835
usability	0.0419908
shareware	0.0419199
housework	0.0419035
bonding	0.0418764
automation	0.0417744
compression	0.0417703
portability	0.0416376
MS-DOS	0.0415241
GPS	0.0415233
homework	0.0414593
firewall	0.0413834
"price support"	0.0413294
firewalls	0.0411077
"return address"	0.0410724
downtime	0.0410618
Filtration	0.0409934
mainframe	0.0409493
amplification	0.040834
airflow	0.0407373
digging	0.0406559
detection	0.0406368
Quicktime	0.0405346
macro	0.0403769
identifier	0.0403355
calculator	0.0402551
))
(Bruce (desc 13847.8) (sims
John	0.102793
Brian	0.102101
Carl	0.100125
David	0.100121
Gerald	0.0986052
Jeff	0.0983203
Tim	0.0978409
Steven	0.0973314
Phil	0.0949611
tom	0.0946456
Chris	0.0939059
mike	0.092906
Robert	0.0928047
Steve	0.0925024
Kevin	0.0923128
Richard	0.0909493
Michael	0.0906894
Jim	0.0906652
Craig	0.0897303
Walter	0.0897082
Arnold	0.0891864
Rick	0.0888865
Randy	0.0887311
Jake	0.0882372
Paul	0.0879916
William	0.0879773
Patrick	0.0875042
Danny	0.0865984
Dave	0.0864693
BOB	0.086261
Eric	0.0862237
Bobby	0.0860718
Ben	0.0858787
Anthony	0.0850753
Larry	0.0849667
Jon	0.0848562
Alan	0.0845764
Charlie	0.0833406
Brett	0.0830456
Shawn	0.0826645
Terry	0.0821948
Gary	0.0818218
Peter	0.081217
Jerry	0.0810926
Fred	0.0804921
Harry	0.0790159
Todd	0.0789878
Nicholas	0.078543
Dennis	0.0784719
Ed	0.0782233
Joe	0.0781414
Noel	0.0773817
Matthew	0.0772795
Ralph	0.0767439
Barry	0.0766115
Byron	0.0762433
Frank	0.0761837
Neil	0.0761129
Manuel	0.0759557
Charles	0.0758733
matt	0.0756187
Ronald	0.0755753
Dan	0.0754293
Roger	0.0753554
Joey	0.0751964
Jason	0.0747423
Doug	0.0742221
James	0.074168
Joel	0.0739075
George	0.0737627
Christopher	0.0735702
Edward	0.0735267
Billy	0.073047
Ronnie	0.0729159
"John Jr."	0.0727319
Jacob	0.0724782
Jimmy	0.0721663
Ted	0.0720392
Jamie	0.0718297
Roy	0.0717631
Andrew	0.0716211
Daniel	0.0715818
Evan	0.0710096
Joseph	0.0709864
Phillip	0.0707616
Donald	0.0707208
Wyatt	0.0707193
Andre	0.0705892
Ian	0.0704802
Raymond	0.0704242
Henry	0.0703811
Andy	0.0703534
Pete	0.0702157
Samuel	0.0701764
Adam	0.0701256
Jonathan	0.0701232
Arthur	0.0697957
Wayne	0.0696751
Tony	0.0694139
Philip	0.0693907
Albert	0.0693605
Scott	0.0688119
Keith	0.0686157
Michelle	0.06852
Marty	0.0685142
Ricky	0.068456
don	0.0684125
douglas	0.0683847
Josh	0.0679183
Ashley	0.0678523
Sam	0.0677851
Ryan	0.0677621
Sean	0.0677474
Hugh	0.0676682
Parker	0.067642
Casey	0.0675032
Simon	0.0672968
Willie	0.067238
Thomas	0.0672005
Stephen	0.0668966
Ken	0.066876
Russ	0.0667352
Julian	0.0665132
Carlos	0.0658675
Glenn	0.0657603
Darryl	0.0655972
jack	0.0655513
Jeb	0.0651194
Brad	0.065063
nick	0.0650324
"Torry Holt"	0.0649128
Greg	0.064803
Reggie	0.0646908
Juan	0.0646638
Kirk	0.064649
Pedro	0.0643684
Terrell	0.0642207
Kyle	0.0641855
Richie	0.0640564
Jaffe	0.0636937
Alex	0.0636032
Derek	0.0632825
Ramon	0.0632721
Aaron	0.063136
"George W."	0.0631324
Kenny	0.0630256
Leo	0.0628596
Tommy	0.0627161
Jose	0.062527
Marvin	0.0620546
Brock	0.0620298
Katie	0.0616995
Gerard	0.0615245
Allen	0.0613711
Johnny	0.0613253
Harold	0.0611327
Kenneth	0.0610544
"Isaac Bruce"	0.0609938
Hardy	0.060633
Benjamin	0.0604025
smith	0.0603287
Trevor	0.0602522
Travis	0.0602092
Jeremy	0.0601849
Howard	0.0601212
Faulk	0.0601139
perry	0.0598639
dick	0.0595809
Harvey	0.0595746
Shapiro	0.0594549
Oliver	0.0593662
Eddie	0.0593452
Aurelio	0.0593433
Hadley	0.0592754
Susan	0.0592532
Marcus	0.0588413
Cole	0.0586703
Barbara	0.0586565
Vogel	0.0586164
Ron	0.0586069
Ernest	0.0585316
Hank	0.0584558
Burke	0.0583432
Brooks	0.058201
martin	0.0581937
Erin	0.0579994
franklin	0.0579328
Louis	0.0577892
Peggy	0.0576134
jay	0.0575357
Drew	0.0575102
Justin	0.0574985
Dion	0.0574167
Miguel	0.057263
dad	0.057238
Stanley	0.0572253
O'Connell	0.057084
Barnett	0.0570324
Warren	0.0570003
Julie	0.0568165
))
("Bruce Armstrong" (desc 3056.48) (sims
"Max Lane"	0.284651
"Todd Rucci"	0.245593
"Henry Thomas"	0.216392
"Chad Eaton"	0.201619
"Jumbo Elliott"	0.192789
"Chris Slade"	0.183666
"Brandon Mitchell"	0.179162
"Heath Irwin"	0.177886
"Lomas Brown"	0.173655
"Bob Whitfield"	0.172192
"Ted Johnson"	0.168493
"Tony Carter"	0.168374
"Ty Law"	0.16703
"Orlando Brown"	0.165804
"Terry Glenn"	0.152538
"Shawn Jefferson"	0.152421
"Larry Allen"	0.150973
"Flozell Adams"	0.146502
"Mark Tuinei"	0.145232
"Bruce Matthews"	0.14132
"Dave Wohlabaugh"	0.140329
"Willie McGinest"	0.136457
"John Tait"	0.130183
"Jason Fabini"	0.129146
"Vincent Brisby"	0.128339
"Erik Williams"	0.128211
"Troy Brown"	0.127359
"Solomon Page"	0.12537
"Eric Swann"	0.124277
"Ferric Collons"	0.124179
"Alonzo Spellman"	0.122229
"Dana Stubblefield"	0.119916
"Steve Israel"	0.119895
"Drew Bledsoe"	0.119732
"Tony Hutson"	0.118069
"Bryant Young"	0.116709
"Ephraim Salaam"	0.114578
"Todd Collins"	0.112544
"Ben Coates"	0.112475
"L.J Shelton"	0.112125
"Everett McIver"	0.110813
"Chris Canty"	0.11061
"Cortez Kennedy"	0.108426
"Kris Farris"	0.107525
"Nate Newton"	0.107255
"Ernie Zampese"	0.104072
"Darrell Green"	0.103045
"John Randle"	0.10276
"Shannon Sharpe"	0.101864
"Tedy Bruschi"	0.10178
"Leon Lett"	0.0999743
"Michael Strahan"	0.0987006
"Warren Sapp"	0.0977148
Brisby	0.097228
"Sam Adams"	0.0963572
"Travis Hall"	0.0963294
"Chad Hennings"	0.0958803
"Shane Dronett"	0.090884
"Aeneas Williams"	0.0905161
Farr	0.0883731
"Willie Clay"	0.0875129
"Aaron Williams"	0.0873658
"Pete Holland"	0.0872291
"Zach Thomas"	0.0840274
"Jeff George"	0.0830676
"Scott Zolak"	0.0826909
"Michael Myers"	0.0808501
"Terry Allen"	0.0789491
"Rick Mirer"	0.0775017
"Chuck Smith"	0.0769289
"Reggie White"	0.0762418
"Mike Jones"	0.0762075
Bledsoe	0.0745064
"Lester Archambeau"	0.0744764
"Bobby Hamilton"	0.0718414
"Charles Haley"	0.0706294
"Trace Armstrong"	0.0693642
"Andre Reed"	0.0674682
McIver	0.0674533
"Greg Ellis"	0.0667132
"Doug Pederson"	0.0666651
"Ken Kocher"	0.0666141
"Steve Atwater"	0.0660552
"Andy Katzenmoyer"	0.0656412
"Mike Sullivan"	0.0642732
"Jackie Harris"	0.0641784
"Mark Smith"	0.0630648
"Damien Woody"	0.0629339
"Dale Hunter"	0.0626439
"Derrick Alexander"	0.0613487
"Dimitrius Underwood"	0.0611399
"Lothar Matthaeus"	0.0604077
Wahlberg	0.0601461
linemen	0.0593253
"JEVON KEARSE"	0.05907
"Al Groh"	0.0588105
"Robert Edwards"	0.0586293
"Otis Smith"	0.0577596
"J.R Redmond"	0.0574621
"Keith Byars"	0.0569883
"Gene Williams"	0.0564197
"James Jones"	0.0562398
"Scott Mitchell"	0.0558356
"Allen Watson"	0.0554012
"Tebucky Jones"	0.0549539
"Mo Lewis"	0.0543799
lineman	0.0540921
Starks	0.0539916
"Pro Bowler"	0.0537689
"Curtis Martin"	0.0533313
"Pete Carroll"	0.0531109
"Mike Martz"	0.0529674
"Jim Harbaugh"	0.0523053
Canty	0.0523021
"Chris Palmer"	0.0514864
"Deion Sanders"	0.0514268
"Jason Taylor"	0.0513948
libero	0.0511228
"Jamal Lewis"	0.0508548
"Walter Zenga"	0.0506011
"Frank Joklik"	0.0505637
"Tony George"	0.050542
"Ken Schrader"	0.0505273
"Cris Carter"	0.0504916
"John Vanbiesbrouck"	0.0499595
Wasserman	0.0497823
Slade	0.0497356
"Joe Kleine"	0.0496948
Meggett	0.0495861
"Thurman Thomas"	0.0493781
"Karim Abdul-Jabbar"	0.0493595
"JOHN FRIESZ"	0.0493133
"Chris Carter"	0.0489183
"Ebenezer Ekuban"	0.0487073
"Grant Fuhr"	0.0484467
"Al Unser Jr."	0.0482044
cornerback	0.0481327
Meares	0.04809
"Warren Moon"	0.0479991
"Bruce Smith"	0.0478953
"Trent Dilfer"	0.0477455
"Aaron Glenn"	0.0473312
"Brian Billick"	0.0473061
"Dan Marino"	0.0471483
"line coach"	0.0470805
"Charles Oakley"	0.0466895
"Derek Harper"	0.0464998
"John Starks"	0.0464655
Katzenmoyer	0.0462312
"Jessie Tuggle"	0.0460044
"Lou Dobbs"	0.0459934
"Courtney Brown"	0.0459032
Mathis	0.0458982
Midler	0.0458565
Burba	0.0453198
"Bobby Newcombe"	0.0450482
"Dale Ellis"	0.0450209
"Dan Majerle"	0.0448266
"Gary Kubiak"	0.0445989
"Mark Brunell"	0.0445492
"Kevin Smith"	0.0441543
Zenga	0.0440324
"Stephen Davis"	0.0439986
"Guy Carbonneau"	0.0439898
"Danny Manning"	0.0439394
Newcombe	0.0438841
Sharpe	0.0438837
"Kevin Mathis"	0.0438138
"John Salley"	0.0436546
Taubman	0.043578
"Bill Parcells"	0.0433988
"Tony Simmons"	0.0433837
Dunham	0.0432452
"Don Nelson"	0.0432085
goalpost	0.0431662
"Grant Long"	0.0430976
"Eric Metcalf"	0.042763
"George Teague"	0.0425889
"Ray Buchanan"	0.0425648
"Garry Galley"	0.0424872
"Andreas Papandreou"	0.0424703
Lafleur	0.0424556
"Neil Smith"	0.0424387
Tait	0.0423788
"Chris Mullin"	0.042267
"Jake Reed"	0.0421743
"William White"	0.0421635
"Michael Booker"	0.0420952
"Jason Sehorn"	0.042059
"Gary Kirsten"	0.0419826
"John Calipari"	0.0419533
"Howie Long"	0.0419447
"Greg Adams"	0.0417455
"Herb Williams"	0.0413859
"June Jones"	0.0412258
"Bora Milutinovic"	0.0411883
"Mike Burns"	0.04117
"Gheorghe Hagi"	0.0410123
Mirer	0.0409334
"Dan Dierdorf"	0.0408697
))
("Bruce Aven" (desc 960.206) (sims
"Eric Owens"	0.36665
"Rondell White"	0.349424
"Preston Wilson"	0.343901
"Danny Bautista"	0.338975
"Terrence Long"	0.335935
"Geoff Jenkins"	0.330737
"Marvin Benard"	0.327304
"David Ortiz"	0.318126
"Carlos Lee"	0.30975
"Carlos Beltran"	0.308893
"Derrek Lee"	0.308355
"John Vander Wal"	0.302916
"Dmitri Young"	0.301509
"Quinton McCracken"	0.298872
"Jeffrey Hammonds"	0.297718
"Matt Luke"	0.292419
"Warren Morris"	0.284159
"Matt Lawton"	0.279436
"Bobby Higginson"	0.275409
"Matt Franco"	0.273357
"Russ Johnson"	0.273343
"Henry Rodriguez"	0.272899
"Benny Agbayani"	0.272357
"Bubba Trammell"	0.269364
"Cliff Floyd"	0.267807
"Dante Bichette"	0.26645
"Johnny Damon"	0.263251
"Rob Ducey"	0.262799
"Rich Becker"	0.262093
"Damian Jackson"	0.261652
"Paul Bako"	0.260562
"Mark Kotsay"	0.259198
"Richard Hidalgo"	0.2574
"Ron Gant"	0.255873
"Brian Giles"	0.255508
"Raul Ibanez"	0.252928
"David Dellucci"	0.252808
"Ray Lankford"	0.252525
"Jeff Conine"	0.252316
"Jose Guillen"	0.249829
"Todd Pratt"	0.247368
"Daryle Ward"	0.246117
"Joe McEwing"	0.243209
"Juan Encarnacion"	0.240623
"Bobby Abreu"	0.239926
"Tom Goodwin"	0.237602
"Lance Berkman"	0.237578
"Ruben Rivera"	0.236763
"Al Martin"	0.236573
Cirillo	0.230901
"Butch Huskey"	0.230373
"Glenallen Hill"	0.229466
"Marquis Grissom"	0.229217
"Brian Hunter"	0.228799
"Dave Hansen"	0.226923
"Orlando Palmeiro"	0.226193
"Doug Glanville"	0.225166
"Matt Mieske"	0.22502
"Herbert Perry"	0.224535
"Marty Cordova"	0.224035
"Mickey Morandini"	0.223414
"Brant Brown"	0.222861
"Bill Spiers"	0.222734
"Jon Nunnally"	0.221545
Vidro	0.220373
"Chad Curtis"	0.219286
"Todd Hollandsworth"	0.219065
"Brady Anderson"	0.21853
"Mike Lowell"	0.218315
"Eddie Taubensee"	0.218159
"Devon White"	0.217707
"Chris Widger"	0.217682
"Jason McDonald"	0.217601
"Stan Javier"	0.217039
"Scott Spiezio"	0.216466
"Luis Polonia"	0.216391
"Ron Coomer"	0.215756
"GERONIMO BERROA"	0.215714
"Mike Cameron"	0.21518
"Ricky Ledee"	0.213615
"Paul Konerko"	0.213228
"Jermaine Dye"	0.213132
"Deivi Cruz"	0.212871
"Karim Garcia"	0.212339
"Richie Sexson"	0.211627
"Darryl Hamilton"	0.211352
"Luis Gonzalez"	0.210828
"Damian Miller"	0.210221
"Dave Martinez"	0.209884
"Trenidad Hubbard"	0.20948
"Bernard Gilkey"	0.208384
"Jay Payton"	0.208334
"Rusty Greer"	0.20778
"Shannon Stewart"	0.206964
"Brian Daubach"	0.206798
"Gerald Williams"	0.206797
"Kevin Jordan"	0.206451
"Mike Lamb"	0.206289
"Phil Nevin"	0.206134
"Gabe Kapler"	0.205547
"Jeff Cirillo"	0.204779
"Kenny Lofton"	0.20416
"Greg Vaughn"	0.203639
"Reggie Sanders"	0.203586
"Lenny Harris"	0.203316
"Roger Cedeno"	0.203314
"Lance Johnson"	0.202525
"Damon Buford"	0.202265
"Ben Grieve"	0.201575
"F.P Santangelo"	0.20121
"Garret Anderson"	0.200894
"Darin Erstad"	0.19909
"Troy Glaus"	0.198735
"Darren Lewis"	0.198027
"Wally Joyner"	0.197819
"Luis Alicea"	0.197709
"Dean Palmer"	0.196064
"Miguel Tejada"	0.19481
"Melvin Mora"	0.192603
"Brian McRae"	0.191039
"Wil Cordero"	0.190694
Bordick	0.190598
Higginson	0.190536
"Otis Nixon"	0.190469
Lankford	0.189163
"J.D Drew"	0.188935
Renteria	0.188822
"Luis Lopez"	0.188452
"Midre Cummings"	0.188128
"Keith Lockhart"	0.188047
DeShields	0.187466
"Trot Nixon"	0.187322
"John Mabry"	0.186736
Aurilia	0.186592
Burnitz	0.185096
Tejada	0.18451
"Gary Sheffield"	0.184015
"Matt Stairs"	0.183346
"Adam Kennedy"	0.183007
"Gregg Jefferies"	0.18184
"Shawn Green"	0.181724
"Steve Finley"	0.181591
"Pat Burrell"	0.181232
"Mike Benjamin"	0.180786
"Darren Bragg"	0.180148
"Vladimir Guerrero"	0.179846
"Jose Cruz Jr."	0.179602
"Tony Eusebio"	0.179095
"Einar Diaz"	0.17893
"Ozzie Guillen"	0.178436
"Bobby Bonilla"	0.178137
"Alex Gonzalez"	0.17806
Fullmer	0.178009
"Adrian Beltre"	0.17789
Lawton	0.177822
"Michael Tucker"	0.177815
"Roberto Kelly"	0.177696
"Tim Bogar"	0.177331
Rolen	0.176544
"Rickey Henderson"	0.176411
Spiers	0.176243
"Manny Alexander"	0.175987
Tatis	0.175587
"Sean Casey"	0.175375
"Kelly Stinnett"	0.174989
"Eric Chavez"	0.174385
"Ricky Gutierrez"	0.17416
"Travis Lee"	0.173233
"Bengie Molina"	0.173128
"Ray Durham"	0.172953
"Brian Jordan"	0.172935
"Craig Counsell"	0.17281
"Tim Salmon"	0.172711
"Russ Davis"	0.172492
"Edgar Martinez"	0.17235
"Moises Alou"	0.172093
"Angel Pena"	0.171756
"Jeremy Giambi"	0.170472
"Bill Mueller"	0.17023
"Luis Castillo"	0.17011
"Rico Brogna"	0.169958
"Eric Karros"	0.169577
Glanville	0.169536
"B.J Surhoff"	0.169507
"Tony Batista"	0.169106
"Ryan Klesko"	0.169073
"J.T Snow"	0.168911
"Scott Rolen"	0.168198
"Randy Velarde"	0.16782
"Tony Graffanino"	0.16724
"Desi Relaford"	0.167107
"Erubiel Durazo"	0.166918
"Corey Koskie"	0.166476
"Randall Simon"	0.165172
"Miguel Cairo"	0.164999
"Raul Mondesi"	0.16431
"Joe Randa"	0.164304
"Ken Caminiti"	0.163598
Cordero	0.163323
"Quilvio Veras"	0.163144
"Cristian Guzman"	0.161358
Agbayani	0.161247
"Todd Greene"	0.161067
"Mark Grudzielanek"	0.160691
"Troy O'Leary"	0.160425
"Mike Sweeney"	0.160189
"Andy Fox"	0.159598
"Todd Helton"	0.159422
McGriff	0.159092
"Jeff Kent"	0.158865
"Andy Sheets"	0.158626
"Tony Phillips"	0.157427
"Jesus Sanchez"	0.157405
"Jose Vidro"	0.156945
"Mike Lieberthal"	0.156823
"Tim Raines"	0.155981
"Carl Everett"	0.15572
"Kevin Stocker"	0.155484
"Shawon Dunston"	0.155267
Karros	0.155142
"Brent Mayne"	0.15506
"Mike Lansing"	0.15471
"Travis Fryman"	0.154659
"David Segui"	0.154434
Erstad	0.154336
"Peter Bergeron"	0.153516
Sexson	0.153474
Glaus	0.153373
Beltran	0.152928
"Jason Varitek"	0.152344
"Jay Buhner"	0.152243
"Shane Spencer"	0.151886
Klesko	0.151687
"Todd Walker"	0.151242
"Ryan Dempster"	0.15091
"Kevin Young"	0.150837
"Ruben Mateo"	0.149613
"Paul O'Neill"	0.148871
"Scott Brosius"	0.148591
"Greg Colbrunn"	0.148552
"Matt Walbeck"	0.148382
"Pat Meares"	0.148345
Bautista	0.14777
"Barry Bonds"	0.147626
"Andruw Jones"	0.147485
"Rafael Furcal"	0.147323
"Kevin Elster"	0.147084
Canseco	0.146993
"Jason Giambi"	0.146909
Alfonzo	0.146907
"Derek Bell"	0.146845
"Ellis Burks"	0.146069
"Tom Lampkin"	0.145574
"Harold Baines"	0.145414
Dunston	0.145403
"Jeromy Burnitz"	0.144506
"Rey Sanchez"	0.144372
"Javy Lopez"	0.143804
"John Olerud"	0.143581
"Jim Edmonds"	0.143545
Fryman	0.143459
"Lee Stevens"	0.142778
Bichette	0.142666
"Ed Sprague"	0.141753
"Rich Aurilia"	0.141723
"Edgardo Alfonzo"	0.14165
Varitek	0.141506
"Jason Kendall"	0.141068
Javier	0.140886
"Jay Bell"	0.14023
"Jorge Fabregas"	0.139373
Olerud	0.138846
"Tony Womack"	0.138656
"Eric Young"	0.138655
"Jose Hernandez"	0.138327
"Magglio Ordonez"	0.138194
"Mike Bordick"	0.138059
"Neifi Perez"	0.137541
"Pokey Reese"	0.13747
McLemore	0.136226
"David Bell"	0.136184
Guillen	0.135521
"Walt Weiss"	0.135444
"Wilton Veras"	0.135157
"Gregg Zaun"	0.134783
"Mark Loretta"	0.134723
"Clay Bellinger"	0.13443
Lieberthal	0.133721
"Tony Gwynn"	0.13301
"Luis Sojo"	0.133003
"Tony Clark"	0.132554
Segui	0.132526
"Fred McGriff"	0.132025
"Mark McLemore"	0.131762
"John Valentin"	0.131745
"Mike Simms"	0.131558
"Sandy Alomar"	0.131259
"Charlie Hayes"	0.130852
Abreu	0.130722
"Bernie Williams"	0.130683
Veras	0.130596
"Jose Vizcaino"	0.129409
Frye	0.129399
"BRIAN MEADOWS"	0.129375
Biggio	0.129316
Hollins	0.12901
Ordonez	0.128167
"Jose Valentin"	0.128032
Cabrera	0.127308
Helton	0.127265
"Enrique Wilson"	0.126201
Batista	0.125891
Hatteberg	0.12527
Ledee	0.125126
"Jeff Bagwell"	0.125068
"Reggie Jefferson"	0.125038
"Craig Biggio"	0.125032
"Jose Canseco"	0.124941
Gant	0.124179
Thome	0.123315
"Fernando Vina"	0.123198
"Albert Belle"	0.123191
Buhner	0.12318
Catalanotto	0.122895
Burks	0.122787
"Todd Hundley"	0.122245
"Jim Thome"	0.12209
"Barry Larkin"	0.12186
Beltre	0.121789
"Mike Stanley"	0.121404
Giambi	0.121266
Hidalgo	0.120584
Elster	0.120151
Kapler	0.120128
"Kirk Gibson"	0.119645
Delgado	0.119414
"Benji Gil"	0.119062
"Brook Fordyce"	0.119019
"Eric Davis"	0.118643
"CARLOS HERNANDEZ"	0.117993
Mateo	0.117838
"Brad Ausmus"	0.117071
Valentin	0.117047
"Joe Carter"	0.11688
Hlavac	0.11672
"Chris Gomez"	0.1167
"Matt Williams"	0.116662
"Andres Galarraga"	0.116371
"Jeff Huson"	0.11629
"Delino DeShields"	0.116278
"Chili Davis"	0.116068
Bagwell	0.115964
Velarde	0.115926
Grudzielanek	0.115443
Womack	0.115298
"Carlos Delgado"	0.114883
"Tino Martinez"	0.114797
Meares	0.114681
"Fernando Tatis"	0.114564
Daubach	0.114541
Stinnett	0.113947
"Charles Johnson"	0.113895
Alomar	0.113756
"Aaron Boone"	0.113475
"Craig Paquette"	0.113391
"Robin Ventura"	0.113146
"Jose Offerman"	0.11287
"Manny Ramirez"	0.112684
Dellucci	0.112586
Alicea	0.112374
"Will Clark"	0.112322
"Wilton Guerrero"	0.112183
"Frank Catalanotto"	0.11212
"Chipper Jones"	0.111977
"Rey Ordonez"	0.111843
"Royce Clayton"	0.111658
"Larry Walker"	0.111415
"Gary DiSarcina"	0.111388
"Lou Merloni"	0.110851
"Mitch Meluskey"	0.110813
"Damion Easley"	0.110608
"Bret Boone"	0.109923
"Edgar Renteria"	0.109829
Gwynn	0.109671
Eusebio	0.109587
Randa	0.109437
"Brad Fullmer"	0.109273
"Alex Rodriguez"	0.109001
Baerga	0.108867
Bergeron	0.108357
"Willie Greene"	0.108121
Palmeiro	0.107865
"Frank Thomas"	0.107542
"Mark Johnson"	0.107441
"Bobby Estalella"	0.107252
"Cecil Fielder"	0.106438
"Chuck Knoblauch"	0.105892
Gilkey	0.105312
"Mike Caruso"	0.105026
"John Jaha"	0.104921
Castilla	0.104883
Offerman	0.104768
"Scott Hatteberg"	0.104755
Grissom	0.104622
Molina	0.104088
"Jim Leyritz"	0.103599
"Donnie Sadler"	0.103039
"Omar Vizquel"	0.102974
Greer	0.102681
"Sean Berry"	0.102392
"Mark Smith"	0.102046
DiSarcina	0.101963
Bragg	0.101829
Brosius	0.101694
Konerko	0.101541
"Dan Wilson"	0.101148
"Tyler Houston"	0.100804
Hundley	0.100601
"Ivan Rodriguez"	0.100389
Taubensee	0.100028
Ausmus	0.1
))
("Bruce Babbitt" (desc 5467.7) (sims
"Rodney Slater"	0.180995
Babbitt	0.173475
"Mike Espy"	0.161702
"Donna Shalala"	0.160003
"Ron Brown"	0.149883
"William Daley"	0.146667
"Richard Riley"	0.146376
"Jane Hull"	0.130285
"Alexis Herman"	0.125763
"Robert Rubin"	0.123022
"Dan Glickman"	0.118028
"Bill Richardson"	0.112376
"Jack Straw"	0.109923
"Janet Reno"	0.109875
"Lawrence Summers"	0.108664
"Christie Whitman"	0.105393
"Roy Barnes"	0.105011
"Jerry Brown"	0.101467
Shalala	0.101163
"Tom Vilsack"	0.0997356
"William Cohen"	0.0995598
Glickman	0.0963005
"Jeanne Shaheen"	0.096299
"John G. Rowland"	0.0962954
"Andrew Cuomo"	0.0960716
"Jia Qinglin"	0.09603
"William Weld"	0.0913504
"William Perry"	0.0910394
"Pedro Rossello"	0.0903584
"Pete Wilson"	0.0902811
"George Robertson"	0.0898034
"John Prescott"	0.0895899
"Ann Richards"	0.0888717
"Lamar Alexander"	0.0886527
"Alexander Lebed"	0.0877691
"Henry Cisneros"	0.0874665
"George Ryan"	0.0874265
"Mike Leavitt"	0.0854274
Cuomo	0.0846454
"Gary Locke"	0.0845617
"Jim Gilmore"	0.0843409
Ciampi	0.0840199
"Bill Owens"	0.0837721
"Roy Romer"	0.08313
"Gary Johnson"	0.0830506
"Jeb Bush"	0.0825173
"Jim Hodges"	0.0823773
"Michael Portillo"	0.0811504
"Robert E. Rubin"	0.0809561
"Parris Glendening"	0.0808218
"George Pataki"	0.0807663
"Jim Hunt"	0.0806505
"Gray Davis"	0.0795965
"Betty Currie"	0.0785966
"Mo Mowlam"	0.0783636
"Stuart Eizenstat"	0.0781198
"Dai Xianglong"	0.0769896
"Mario Cuomo"	0.0769287
"Robin Cook"	0.0767471
"Francisco Labastida Ochoa"	0.0761177
"Robert Menendez"	0.0756752
"Lawton Chiles"	0.0754133
"William Bennett"	0.0751802
"British government"	0.0747349
"Mel Carnahan"	0.0740942
Spitzer	0.0738731
"John Engler"	0.0737448
congressmen	0.0735801
"Paul Patton"	0.0733764
"Tom Ridge"	0.0733456
Cellucci	0.073166
"Barry McCaffrey"	0.0730049
"Chris Patten"	0.0728129
"Mike Foster"	0.0726506
"Defense William Cohen"	0.0724467
"Zell Miller"	0.0721457
"Treasury Secretary"	0.0720949
"Lee Hsien Loong"	0.0717533
Reno	0.0715891
"Michael Dukakis"	0.0715414
"Harold Ickes"	0.0711657
Zedillo	0.071154
"Edward Kennedy"	0.0711228
Richardson	0.0709825
"George E. Pataki"	0.0705464
"Orlando Mercado"	0.0703284
"Bob Bullock"	0.0699831
Eizenstat	0.0698571
Difrancesco	0.0698128
Safir	0.0691219
"Paul Cellucci"	0.0690397
"President Lee Teng-hui"	0.0690051
"Francisco Labastida"	0.0688576
"Christine Todd Whitman"	0.068831
Voinovich	0.0686274
"Federal Trade Commission"	0.0685754
"William Hague"	0.06843
Riordan	0.0684235
Comptroller	0.0680631
"John Major"	0.067743
"David Beasley"	0.0677247
"Khin Nyunt"	0.0675816
"Anson Chan"	0.0673752
"Peter Mandelson"	0.066704
Daley	0.0666001
Pataki	0.0665829
Chretien	0.0664554
"Interior Department"	0.0662196
"Food and Drug Administration"	0.0660331
"Consumer Product Safety Commission"	0.0659864
Jia	0.0659561
"Daniel Patrick Moynihan"	0.0657934
"Bob Taft"	0.0656913
Cardoso	0.0655219
Kuchma	0.0653968
al-Hariri	0.0645993
"U.S. State Department"	0.0645706
Hrawi	0.0643354
"Lloyd Bentsen"	0.0643319
Carnahan	0.0642901
"Robert Reich"	0.0642433
"National Security Adviser Sandy Berger"	0.0640585
Fordice	0.0640472
"Alain Juppe"	0.0640271
"Elizabeth Dole"	0.0638997
EPA	0.0635637
Ramos	0.0634938
"Huang Ju"	0.0633885
"Prime Minister Kamal El-Ganzouri"	0.0633588
FCC	0.0631665
"Atal Bihari Vajpayee"	0.0630464
"secretary of state"	0.0630186
"U.S. Defense Department"	0.0626063
Mandelson	0.0625674
"Jean Chretien"	0.0622305
Misuari	0.0620362
Cisneros	0.062009
"Ted Kennedy"	0.0619105
Fabius	0.0617819
Pustovoitenko	0.061601
Pickering	0.0614442
"Department of Transportation"	0.0613502
"President Kim Young-sam"	0.0612892
"Peter Vallone"	0.0612764
"Mike Huckabee"	0.0612304
"Lionel Jospin"	0.0611697
Samper	0.0611379
Ruthardt	0.0611165
Hybl	0.0610112
"Betsy McCaughey Ross"	0.0608923
"Gennady Seleznyov"	0.0608187
"Richard Blumenthal"	0.0607717
el-Bashir	0.060708
Torricelli	0.0606568
"George Wallace"	0.0606505
"Benazir Bhutto"	0.0603076
"Mikhail Kasyanov"	0.0602445
"Evan Bayh"	0.0600884
"Superintendent Ruben Zacarias"	0.0599808
Greenspan	0.0599101
Klestil	0.0598054
"Barbara Boxer"	0.0597354
Bouteflika	0.0597345
"U.S. Administration"	0.0597037
Labastida	0.0596524
"John Howard"	0.0594939
"Jim Florio"	0.0594797
"Israeli Cabinet"	0.0593278
"National Election Committee"	0.0591705
"Binyamin Netanyahu"	0.0591663
FDA	0.0591057
"Bill Graves"	0.0589749
"Kiichi Miyazawa"	0.0587821
Faget	0.0586311
Chuan	0.0584724
Locke	0.0584577
"Environmental Protection Agency"	0.0584094
treasurer	0.0582549
"cabinet member"	0.0582171
"Tommy Thompson"	0.05816
D'Alema	0.0579176
Waigel	0.0578913
"Federal Communications Commission"	0.0578618
"Orrin Hatch"	0.0576794
"Bill Skate"	0.0576447
Stoyanov	0.0576285
"Tony Blair"	0.0575665
Sutiyoso	0.0575054
"Dianne Feinstein"	0.0574589
"Clinton Administration"	0.0574536
"Alan Greenspan"	0.0572836
"U.S. Treasury Department"	0.0569003
Hastert	0.0568517
Estrada	0.0568388
"Trent Lott"	0.0568022
Whitman	0.0567456
"Richard Cheney"	0.0567239
"Federal Aviation Administration"	0.0566329
"Tin Oo"	0.0566238
Schell	0.0566123
))
("Bruce Bowen" (desc 1470.34) (sims
"Larry Hughes"	0.151989
"Voshon Lenard"	0.14729
"Vitaly Potapenko"	0.144732
"Brent Barry"	0.141349
"P.J Brown"	0.128898
"Terry Porter"	0.127244
"Jamal Mashburn"	0.119311
"Dale Ellis"	0.118183
"Otis Thorpe"	0.116745
"Don Maclean"	0.105695
"CORIE BLOUNT"	0.104171
"Wayne Turner"	0.101529
"Dana Barros"	0.100915
"Billy Owens"	0.0999276
"Clarence Weatherspoon"	0.0962196
"Randy Brown"	0.0959052
"Eric Snow"	0.0943654
"Rashard Lewis"	0.0929043
"Tyronn Lue"	0.0918451
"George McCloud"	0.0916252
"Aaron Williams"	0.0915779
"Ruben Patterson"	0.0915389
"Hersey Hawkins"	0.0914619
"Ron Harper"	0.0906284
"Derek Harper"	0.0872374
"Michael Finley"	0.0860456
"Joe Kleine"	0.0843509
"Jeff Trepagnier"	0.0839477
"Tim Hardaway"	0.0820714
"Nick Anderson"	0.0817407
"Paul Pierce"	0.0806452
"Walter McCarty"	0.0800754
"Olden Polynice"	0.0787186
"Will Perdue"	0.0775808
"Anthony Mason"	0.0774138
"Tim Thomas"	0.077239
"Hu Weidong"	0.0769905
"Brandon Granville"	0.0765076
"Terry Cummings"	0.076325
"Walt Williams"	0.075541
"Danny Fortson"	0.0754126
"Bobby Phills"	0.0747444
"Mario Elie"	0.0731931
"Derek Anderson"	0.072929
"Alan Henderson"	0.0727658
"Theo Ratliff"	0.0721325
"Carlos Rogers"	0.0717509
"Tony Massenburg"	0.0716379
"Jim Jackson"	0.0714484
"David Wesley"	0.0711884
"Travis Knight"	0.0711056
"Corliss Williamson"	0.0709133
"Eric Murdock"	0.0707626
"Jeff Hornacek"	0.0703984
"Everett McIver"	0.0702827
"Chris Mills"	0.0702106
"Brian Grant"	0.0694657
"Darrick Martin"	0.0693983
"Eric Williams"	0.0686284
"Antoine Walker"	0.0678014
"Dan Majerle"	0.0677455
"Donyell Marshall"	0.0673214
"Derrick Coleman"	0.0664474
"B.J Armstrong"	0.0661512
"Dennis Scott"	0.0659897
"Sam Cassell"	0.0656504
"Matt Maloney"	0.0652435
"Dominique Wilkins"	0.0651528
"Richard Jefferson"	0.0649125
"Othella Harrington"	0.0648123
"Sam Perkins"	0.0647231
"Robert Horry"	0.0645838
"Christian Laettner"	0.0644515
"Charles Oakley"	0.0642102
"Rodney Rogers"	0.0635825
"Shandon Anderson"	0.0634901
Potapenko	0.0632376
"Antawn Jamison"	0.0630347
"Steve Kerr"	0.0630315
"Juwan Howard"	0.0629347
"Chris Childs"	0.0628059
"J.R Reid"	0.0625089
"Jumaine Jones"	0.0622707
"Corey Maggette"	0.0620156
"Doug Christie"	0.0618788
"Charlie Ward"	0.0617121
"Antonio Daniels"	0.0616074
"Kevin Johnson"	0.0614614
"Eric Piatkowski"	0.0614449
"Kris Clack"	0.0610949
"Samaki Walker"	0.0608722
"Chris Carrawell"	0.0608368
"Matt Geiger"	0.0604504
"Howard Eisley"	0.0601256
"Brian Shaw"	0.0596533
"Predrag Mijatovic"	0.0593488
"Brevin Knight"	0.0587882
"Sherman Douglas"	0.0587807
"Billy Knight"	0.0587545
"Rick Fox"	0.0586869
"Rex Chapman"	0.0586379
"Chris Crawford"	0.0584278
"Sam Mack"	0.0583958
"Jeff Friesen"	0.0582325
"Tariq Abdul-Wahad"	0.058162
"Mark Bryant"	0.0580642
"Tracy McGrady"	0.0579189
"John Vanbiesbrouck"	0.0577577
"Mateen Cleaves"	0.057564
"Mark Jackson"	0.0572487
"Detlef Schrempf"	0.0570316
"Isaiah Rider"	0.056808
"Adrian Ilie"	0.0567795
"Antonio Davis"	0.0565978
"Terrell Brandon"	0.056576
"SCOTT BURRELL"	0.0565614
"Shammond Williams"	0.0565463
"Ante Razov"	0.0560648
"Toni Kukoc"	0.0559613
"Herb Williams"	0.0557832
"Armando Reynoso"	0.0556169
"Adrian Griffin"	0.0553731
"John Wallace"	0.0551908
"Lamond Murray"	0.0551645
"Grant Long"	0.055073
"Avery Johnson"	0.0550705
"Teresa Weatherspoon"	0.0542915
"Jaren Jackson"	0.0541476
"Antonio McDyess"	0.054044
"Maurice Taylor"	0.054027
"Mookie Blaylock"	0.0539293
"Ian Wright"	0.0538349
"Grant Hill"	0.0535728
Weatherspoon	0.053546
"Eric Wynalda"	0.0534399
"Kim Perrot"	0.0533102
"Pat Garrity"	0.052791
"Cedric Ceballos"	0.052727
"Arvydas Sabonis"	0.0524859
"Jeff Blake"	0.0523138
"Francisco Cordova"	0.0522237
"Cynthia Cooper"	0.0521232
"Reggie Miller"	0.0520294
"Kenny Anderson"	0.0518903
"Anthony Johnson"	0.0518008
"Brian Scalabrine"	0.0515409
"Clifford Robinson"	0.0514825
"Manny Legace"	0.0514764
"Alexei Kovalev"	0.0514627
"Khodadad Azizi"	0.051459
"Chris Carpenter"	0.0513852
"Mike Sullivan"	0.0513005
"Allen Iverson"	0.0512332
"Bob Sura"	0.0509928
"Todd Husak"	0.0509461
"Dejan Savicevic"	0.0504802
"Brian McBride"	0.0503851
"Hubert Davis"	0.0503819
"Tyrone Nesby"	0.0502973
"Michael Smith"	0.05027
"Raul Gonzalez"	0.0502509
"Gary Trent"	0.050222
"Hao Haidong"	0.0502093
"Dave Wohlabaugh"	0.0501795
"Allan Houston"	0.0498608
"Darrell Armstrong"	0.0498309
"Shannon MacMillan"	0.0495219
"LaPhonso Ellis"	0.0492296
"Shareef Abdur-Rahim"	0.0492202
"Kevin Hartman"	0.0491475
"Jorge Fabregas"	0.0491003
"Omar Olivares"	0.0490593
"Michael Redd"	0.0488369
"Penny Hardaway"	0.0484074
"Kenny Thomas"	0.0483334
"Adam Vinatieri"	0.0483281
"Bonzi Wells"	0.0483162
"Austin Croshere"	0.0482231
"Luis Hernandez"	0.0477924
"Jerome Kersey"	0.0476211
"Shawn Kemp"	0.0476178
"Ron Mercer"	0.0475636
"Rod Strickland"	0.0475063
"Nikki McCray"	0.0474864
"Heath Irwin"	0.0473603
"Jelani McCoy"	0.0472234
"Raul Diaz Arce"	0.0472227
"Joe Smith"	0.047121
"Theo Fleury"	0.0470877
"Larry Johnson"	0.0470026
Mashburn	0.0469791
"Wilson Alvarez"	0.0469692
"Sheryl Swoopes"	0.0469557
"Bill Wennington"	0.0468091
"Jermaine O'Neal"	0.0467543
"Wendel Clark"	0.0465733
"Eddie House"	0.0463672
"Jeff Weaver"	0.0463601
"DeLisha Milton"	0.0463434
"Rico Hines"	0.0463234
))
("Bruce Chen" (desc 3054.01) (sims
"Odalis Perez"	0.317075
"Mike Remlinger"	0.274827
"Ed Yarnall"	0.254278
"Alan Embree"	0.244001
"Ron Villone"	0.243788
"Rudy Seanez"	0.234665
"Eric Milton"	0.23387
"Terry Mulholland"	0.216515
"Onan Masaoka"	0.216169
"Kirk Rueter"	0.206376
"Doug Davis"	0.206091
"Jon Lieber"	0.205048
"Jim Parque"	0.2022
"Kevin Millwood"	0.201282
"Jason Christiansen"	0.199224
"Scott Karl"	0.193041
"Brad Penny"	0.192548
"Pedro Borbon"	0.191439
"Jesus Sanchez"	0.191228
"Kent Mercker"	0.190281
"Shawn Estes"	0.188669
"Jose Jimenez"	0.185276
"Carl Pavano"	0.182947
"Mark Langston"	0.182464
"John Halama"	0.181579
"Jarrod Washburn"	0.180194
"Octavio Dotel"	0.178778
"Omar Daal"	0.178721
"Randy Myers"	0.177873
"Jeff Weaver"	0.176883
"Jeff Fassero"	0.17607
"Paul Spoljaric"	0.174339
"Brian Anderson"	0.172306
"Kevin McGlinchy"	0.17023
"Brian Bohanon"	0.169608
"Denny Neagle"	0.169478
"Russ Ortiz"	0.169295
"Mark Gardner"	0.166894
"Mike Venafro"	0.166662
"Jin Ho Cho"	0.166415
"Jesse Orosco"	0.164261
"Justin Thompson"	0.164193
"John Burkett"	0.16168
"Mike Sirotka"	0.161264
"Jamey Wright"	0.161246
"Darren Oliver"	0.160274
"Pete Schourek"	0.15977
"Mark Guthrie"	0.158715
"Gil Meche"	0.158162
"Rich Rodriguez"	0.157371
"Jeff Williams"	0.157265
"Brian Moehler"	0.15664
"Arthur Rhodes"	0.156561
"Scott Radinsky"	0.156456
"Brett Hinchliffe"	0.155843
"BRIAN MEADOWS"	0.155038
"Rheal Cormier"	0.154705
"Sidney Ponson"	0.154466
"Jamie Moyer"	0.1544
"Paul Byrd"	0.153567
"Bryce Florie"	0.153491
"Javier Vazquez"	0.152969
"Greg Swindell"	0.152652
"Chuck McElroy"	0.152088
"John Smoltz"	0.152046
"Wilson Alvarez"	0.151303
"Mark Wohlers"	0.150814
"Brian Rose"	0.150439
"Allen Watson"	0.150219
"Mike Holtz"	0.150201
"Scott Schoeneweis"	0.14992
"Byung-Hyun Kim"	0.148881
"Scott Williamson"	0.148059
"Kerry Ligtenberg"	0.147666
"Mike Magnante"	0.146721
"John Snyder"	0.146399
"John Rocker"	0.146038
"Sterling Hitchcock"	0.146
"Ramon Ortiz"	0.145119
"Woody Williams"	0.144416
"Tom Glavine"	0.143181
"Steve Avery"	0.143017
"Bartolo Colon"	0.142488
"Graeme Lloyd"	0.141367
"Eric Gunderson"	0.141119
"Mike Stanton"	0.140749
"Matt Herges"	0.14036
"Carlos Perez"	0.139933
"Vladimir Nunez"	0.137162
"Bill Pulsipher"	0.137055
"Andy Pettitte"	0.137025
"Chris Carpenter"	0.135938
"Dennis Reyes"	0.13578
"Ryan Dempster"	0.13471
"Paul Abbott"	0.133316
Millwood	0.132975
"Billy Wagner"	0.132446
"Randall Simon"	0.131758
"Freddy Garcia"	0.131611
"Dennis Cook"	0.131555
"Matt Perisho"	0.129921
"Jeff Zimmerman"	0.129469
"Pete Harnisch"	0.1291
"Dustin Hermanson"	0.128798
"Javy Lopez"	0.128655
"Tim Hudson"	0.128543
"Ricky Bottalico"	0.127898
"Jason Bere"	0.127813
"Ryan Glynn"	0.127695
"Eric Gagne"	0.127198
"Kenny Rogers"	0.126415
"Dave Burba"	0.126363
"Russ Springer"	0.126214
"Mike Judd"	0.126123
"Tim Wakefield"	0.125723
"Steve Parris"	0.125623
Petkovsek	0.12504
Pavano	0.12425
"Al Levine"	0.123732
"STEVE WOODARD"	0.123645
"Dave Mlicki"	0.123145
"Francisco Cordova"	0.1229
"Andy Ashby"	0.122758
"Rick Aguilera"	0.12266
"Brett Tomko"	0.122414
"Rafael Furcal"	0.120705
Elarton	0.120582
"Al Leiter"	0.120302
"Pat Hentgen"	0.119943
"Greg McMichael"	0.119885
"Matt Morris"	0.119123
"Kevin Tapani"	0.118668
"Chuck Finley"	0.11858
"Scott Elarton"	0.118487
"Gil Heredia"	0.118133
"Esteban Loaiza"	0.11776
"Mark Portugal"	0.117643
"Armando Reynoso"	0.117243
"Jason Schmidt"	0.117146
"three pitchers"	0.116349
"Jamie Arnold"	0.116178
"Andy Benes"	0.115971
"Pedro Astacio"	0.115246
"Brad Radke"	0.115088
"John Franco"	0.11495
"Kerry Wood"	0.114792
"Tom Candiotti"	0.11475
"Mike Hampton"	0.114272
"David Wells"	0.113383
"Billy Taylor"	0.11305
"Mark Leiter"	0.112338
"Greg Maddux"	0.112281
Herges	0.112136
"Pat Mahomes"	0.112122
"Alex Fernandez"	0.112031
"Frankie Rodriguez"	0.111424
"Jason Isringhausen"	0.111323
"Rick White"	0.11093
"Paul Shuey"	0.1109
"Ken Cloude"	0.110702
"Chris Holt"	0.109986
"Willie Blair"	0.109429
"Mark Petkovsek"	0.108665
"Pat Rapp"	0.108114
Dempster	0.107964
"Mike Morgan"	0.10763
"Shigetoshi Hasegawa"	0.10746
"Curt Schilling"	0.107397
"Rolando Arrojo"	0.10636
"Mac Suzuki"	0.105933
"Bobby Jones"	0.105692
Yarnall	0.105563
"Chan Ho Park"	0.105558
"Jaret Wright"	0.104822
"Jay Powell"	0.103928
"Robinson Checo"	0.103674
"Ramiro Mendoza"	0.103593
"Terry Adams"	0.10353
"Matt Mantei"	0.103233
Mulholland	0.102909
"Leon Smith"	0.10289
"Dwight Gooden"	0.102888
Wohlers	0.102417
"Darren Dreifort"	0.102148
"Jeff Brantley"	0.102074
Mahomes	0.102023
"Shane Reynolds"	0.101869
"Robb Nen"	0.101731
"Danny Graves"	0.101619
"Steve Sparks"	0.101518
"Walt Weiss"	0.100888
"Ugueth Urbina"	0.100846
"Heathcliff Slocumb"	0.100757
"Dennis Martinez"	0.100501
"Troy Percival"	0.099534
"Mike Timlin"	0.0994336
"Randy Johnson"	0.0993181
"John Hudek"	0.0992228
"Mark Clark"	0.0989878
Mercker	0.0988239
))
("Bruce Fleisher" (desc 1332.71) (sims
"Gil Morgan"	0.264892
"Jim Colbert"	0.248289
"Larry Nelson"	0.233017
"Dana Quigley"	0.228905
"Dave Stockton"	0.163915
"Tom Kite"	0.160532
"David Graham"	0.157779
"Hale Irwin"	0.155107
"Isao Aoki"	0.139276
"Raymond Floyd"	0.135591
"Lee Trevino"	0.12006
"Corey Pavin"	0.116987
"Brian Watts"	0.107712
"Tom Watson"	0.105253
"Gary Player"	0.100515
"Lee Janzen"	0.0993831
"Jubilo Iwata"	0.0978925
"Rocco Mediate"	0.097029
"Pat Hurst"	0.0937109
"Se Ri Pak"	0.0914575
"Frank Nobilo"	0.0893244
"Allen Doyle"	0.0880302
Colbert	0.0878427
"Jack Nicklaus"	0.0877462
"Justin Rose"	0.0868003
"Miguel Indurain"	0.0829108
"Bernhard Langer"	0.0809326
"Billy Mayfair"	0.0801686
"Karrie Webb"	0.0798095
"Jay Sigel"	0.0771978
"Mark Brooks"	0.0767311
"Dottie Pepper"	0.0760785
"Curtis Strange"	0.0754777
"Jansher Khan"	0.0743229
"Steve Jones"	0.0741505
"Todd Eldredge"	0.072756
"Andrew Coltart"	0.0713675
"Miguel Angel Jimenez"	0.0712932
"Stewart Cink"	0.0709444
Longo	0.0708344
"Ian Woosnam"	0.0706872
"Arnold Palmer"	0.068426
Cink	0.0682498
"Joko Suprianto"	0.0680606
"Bob Estes"	0.0675639
"John Daly"	0.0672688
"Hu Weidong"	0.0671674
"Meg Mallon"	0.0670348
"Annika Sorenstam"	0.0670297
"Mark O'Meara"	0.0665685
Maruyama	0.065222
"Hal Sutton"	0.0649407
"Bjarne Riis"	0.0646413
"Olin Browne"	0.0643492
"Zoran Primorac"	0.064265
"Desert Hero"	0.0640843
"Stuart Appleby"	0.0639294
Karlsson	0.0639152
"Schalke @@"	0.0637637
"Jay Haas"	0.0636831
"Moses Tanui"	0.0635881
"Nancy Lopez"	0.0634522
"Paul Azinger"	0.0629349
"Johnny Miller"	0.0627706
"Carlos Franco"	0.0627056
"Scott Pruett"	0.0621512
"Dong Jiong"	0.0617122
"Loren Roberts"	0.0602532
"Eddie Cheever"	0.0598369
"Nick Price"	0.0597441
"Larry Mize"	0.0591083
"Steve Stricker"	0.0590166
"Phil Mickelson"	0.0586
"Velez Sarsfield"	0.0584543
"Tim Herron"	0.0582025
"Olympiakos Piraeus"	0.0580924
"Davis Love III"	0.0571821
"Shanghai Shenhua"	0.0571807
"Pro Bowler"	0.0570414
"NBA All-Star"	0.0566098
"Jeff King"	0.056543
"Winning Colors"	0.0560856
"Derrick Adkins"	0.0560399
"Jose Maria Olazabal"	0.0556008
"Bayi Rockets"	0.0553059
"Michael Andretti"	0.0553055
Dougherty	0.0551225
"Fatuma Roba"	0.0548276
Tanui	0.0547457
"Alex Zanardi"	0.0546397
"Steve Elkington"	0.0544402
Edberg	0.0544112
"Elena Berezhnaya"	0.0542051
"Michael Von Gruenigen"	0.0541892
"Laura Davies"	0.0541778
"Bobby Rahal"	0.0540544
"Casey Martin"	0.0538926
"Nottingham Forest"	0.0535982
"Peter Bondra"	0.0535563
"Shigeki Maruyama"	0.0534257
"Padraig Harrington"	0.0532528
"Randall Simon"	0.0532371
"Ukari Figgs"	0.0532341
"Sergio Garcia"	0.053056
Nacional	0.0530447
"Vijay Singh"	0.0527409
"Billy Boat"	0.052734
"Kenny Brack"	0.0526894
"Dalian Wanda"	0.052541
"Liselotte Neumann"	0.052445
"Candra Wijaya"	0.0523864
"Peter Rasmussen"	0.0522847
"Jeff Maggert"	0.0521712
"Donna Andrews"	0.0520433
"Jimmy Oliver"	0.0520073
"Koji Ito"	0.0519255
"Fred Funk"	0.0518993
"Blaine Wilson"	0.0518353
"Juli Inkster"	0.0518214
"Heinz-Harald Frentzen"	0.0515337
"Mark Calcavecchia"	0.0510352
Schalke	0.050873
"Lasse Kjus"	0.0507999
Stadler	0.0506904
"Paul Tergat"	0.0506145
"Chris Drury"	0.0501029
Gump	0.0500635
"Fan Zhiyi"	0.0499968
Shenhua	0.0496285
"Bjarte Engen Vik"	0.04961
"Paul Lawrie"	0.0493411
Mayfair	0.0492422
"HANK KUEHNE"	0.0492191
Ozaki	0.0492109
"Nick Faldo"	0.0491549
"Matt Kuchar"	0.0491109
Kashima	0.0488861
Donato	0.0488131
Benfica	0.0487417
"Ben Crenshaw"	0.0486373
"Marco Pantani"	0.048626
Obilic	0.0485493
"Buddy Lazier"	0.0484715
"Darren Clarke"	0.0484361
"BRIAN MEADOWS"	0.0483627
"Fuzzy Zoeller"	0.0483536
"Chris Perry"	0.0483284
D.A.	0.0482701
"Ryan Dempster"	0.0481553
"Seattle Slew"	0.0481345
"Jim Furyk"	0.0480118
"Deon Hemmings"	0.0478691
"Fred Couples"	0.0478575
Penarol	0.0477833
"Greg Norman"	0.047694
"Jose Jimenez"	0.047655
"Answer Lively"	0.0475797
"Chris Boardman"	0.047494
"Rafael Furcal"	0.0474719
"Predrag Mijatovic"	0.0474272
"Fu Mingxia"	0.0473665
"Chris Johnson"	0.047248
"Charles Woodson"	0.0472217
Maggert	0.0471752
"VfB Stuttgart"	0.0471136
"Touch Gold"	0.0470949
Villeneuve	0.0470948
"Cash Run"	0.0470758
"Wang Nan"	0.0469909
"Carlos Sainz"	0.046946
"Betsy King"	0.0469428
"Liu Yong"	0.0469212
Capel	0.0468981
"Svetlana Khorkina"	0.0468892
"Ernie Els"	0.0468686
"Juan Montoya"	0.0467928
Villareal	0.0463903
"Gold Glove"	0.0463676
"Alex Zuelle"	0.0463596
"Felix Savon"	0.0462444
Daylami	0.0461604
Hoch	0.0460985
"High Yield"	0.0459709
"Maria Butyrskaya"	0.0459672
"Jeff Weaver"	0.0459391
Rucchin	0.0458038
"Athletic Bilbao"	0.0456538
Wilander	0.0456279
"Craig Parry"	0.0455544
"John Halama"	0.0454399
"Brandie Burton"	0.0454392
"Dale Earnhardt"	0.0454175
"Ge Fei"	0.0451808
"Edie Falco"	0.0451517
Hongyuan	0.0451481
Karpov	0.0450248
"Jacques Villeneuve"	0.0447412
"Kenny Irwin"	0.0447325
Fleisher	0.0447307
roper	0.0447205
))
("Bruce Lee" (desc 1153.23) (sims
"Jackie Chan"	0.211317
"Chow Yun-Fat"	0.146069
"Johan Cruyff"	0.101365
"Bobby Charlton"	0.0935816
"Robert Redford"	0.0918311
"Bob Marley"	0.0887636
"Peter Lynch"	0.0847851
"Alberto Tomba"	0.084689
lassie	0.0824449
"Diego Maradona"	0.0796034
"Leonardo DiCaprio"	0.079451
"James Dean"	0.0794162
"Mario Andretti"	0.0771509
"Arnold Schwarzenegger"	0.0766126
CHE	0.0764101
"Keanu Reeves"	0.0751424
"Buster Keaton"	0.0741218
"Bruce Willis"	0.0729608
Zapruder	0.0717124
"Mick Jagger"	0.0695836
"Michael Douglas"	0.0692061
"Mary Pickford"	0.0682466
"Jerry Garcia"	0.0673092
Berle	0.0669515
"Denzel Washington"	0.0653729
"Kirsten Dunst"	0.0647123
"Johnny Depp"	0.0645833
"Franz Beckenbauer"	0.0606116
"Norm MacDonald"	0.0603465
"Richard Petty"	0.0599361
"Wes Craven"	0.0599144
"John Waters"	0.0598761
"Tito Puente"	0.0598707
"Carl Lewis"	0.0583925
"Tupac Shakur"	0.0581663
"Errol Flynn"	0.057903
Pele	0.0578848
"Marilyn Monroe"	0.0578814
"Farrah Fawcett"	0.0572329
Coen	0.057171
"Joe DiMaggio"	0.0569499
"Neil LaBute"	0.0568243
"Clint Eastwood"	0.0568203
"Marlene Dietrich"	0.0566641
"Lethal Weapon"	0.0565108
"Fred Astaire"	0.0564053
"Nicole Kidman"	0.0562662
Selena	0.0561881
Ataturk	0.0561227
"Hristo Stoichkov"	0.0556456
stooge	0.0555951
"Judy Garland"	0.0546831
"Janet Leigh"	0.0546504
"Roy Rogers"	0.0543851
"Bob Dylan"	0.0541923
"Frank Capra"	0.0535446
"Andy Warhol"	0.0531946
"Mario Lemieux"	0.0531021
slasher	0.0530391
"Aaron Spelling"	0.0530363
"Little Richard"	0.0527698
"Alfred Hitchcock"	0.0527574
"Gordie Howe"	0.0525487
"Sylvester Stallone"	0.0523602
"Halle Berry"	0.0522704
"Nicolas Cage"	0.0522519
"Hilary Swank"	0.0513688
"Rat Pack"	0.0512733
"Tom Cruise"	0.0510816
"King Kong"	0.0504832
martial-arts	0.050216
"Mel Gibson"	0.049959
"Sarah Jessica Parker"	0.0498987
"John Wayne"	0.0495869
"German language"	0.0493678
made-for-TV	0.0492913
"Lothar Matthaeus"	0.0490052
"Meryl Streep"	0.0489046
"David Lynch"	0.048791
"Marx Brothers"	0.0485268
Lawler	0.0484169
Porno	0.0479843
Costner	0.0470016
"Brad Pitt"	0.0468588
"Billie Jean King"	0.046845
"Ingmar Bergman"	0.0468183
"Kung Fu"	0.0467853
"Linford Christie"	0.0467266
Percy	0.0467231
"Kirk Franklin"	0.0464183
"Sean Penn"	0.046402
"Clark Gable"	0.0461861
"Gary Cooper"	0.0461616
"Indiana Jones"	0.0460833
"Jessica Lange"	0.0457789
"Ian McKellen"	0.0456386
"Stanley Kubrick"	0.0455267
"Rosa Parks"	0.045422
"Earl Campbell"	0.0451509
Fellini	0.0451341
Zico	0.0450511
"Harrison Ford"	0.0449787
Spider-Man	0.0449723
"Brendan Fraser"	0.0446768
"Marlon Brando"	0.0445879
"Alexander Popov"	0.0442822
"Julius Erving"	0.0441107
"Walter Payton"	0.0440408
overlong	0.0439313
"Karch Kiraly"	0.0436214
"Katarina Witt"	0.0435246
"James Bond"	0.0434238
"Henry Aaron"	0.0433365
"Tammy Wynette"	0.0431828
pinup	0.0431622
"Kevin Costner"	0.0430816
"Eddie Murphy"	0.0428648
"Mary Slaney"	0.0425329
IMAX	0.0424929
"Mike Nichols"	0.0423191
"Byron Nelson"	0.0422945
"Peter Schmeichel"	0.04226
Schwarzenegger	0.0422251
"this @@@@"	0.0419922
"George Strait"	0.0419466
"Ruud Gullit"	0.0419377
"Derrick Thomas"	0.0417845
"Luis Hernandez"	0.0417489
"Koji Ito"	0.041701
"Neve Campbell"	0.0416761
"George Clooney"	0.0416471
"Bob Feller"	0.0414363
eight-minute	0.04139
"Samuel L. Jackson"	0.0412916
"Bela Karolyi"	0.0409986
Denilson	0.0409531
"Mark Tuinei"	0.0407217
"Gheorghe Hagi"	0.0406877
"Bobby Orr"	0.0405005
"Kate Winslet"	0.0404793
"Manny Fernandez"	0.0403685
"Hugh Grant"	0.0402248
))
("Bruce Lindsey" (desc 4215.35) (sims
"Sidney Blumenthal"	0.290478
"Gregory Craig"	0.284743
"Vincent Foster"	0.280584
"Vernon Jordan"	0.277906
"Vernon E. Jordan Jr."	0.239714
"Daim Zainuddin"	0.237787
"Rahm Emanuel"	0.228804
"Harold Ickes"	0.225468
"Charles Ruff"	0.223767
"Abbe Lowell"	0.220931
"George Stephanopoulos"	0.214757
Lindsey	0.191079
"David Kendall"	0.186477
"David Bar-Illan"	0.185514
"Betty Currie"	0.179091
"Gene Sperling"	0.173449
"David Schippers"	0.170084
"Yitzhak Molcho"	0.164857
"Kenneth W. Starr"	0.164136
"David Boies"	0.157019
"William Neukom"	0.156109
"Paul Begala"	0.15465
"Dick Morris"	0.150432
"Danny Yatom"	0.147872
el-Baz	0.147354
"Ahmed Tibi"	0.144622
"James Carville"	0.144572
confidant	0.144446
"John Podesta"	0.142123
"Linda Tripp"	0.14003
"John Weaver"	0.139491
"Carter Eskew"	0.13633
"Robert Ray"	0.134792
"Shelly Finkel"	0.134223
"Webster Hubbell"	0.131177
Blumenthal	0.128689
"Condoleezza Rice"	0.121105
"Callista Bisek"	0.119279
"Barry Scheck"	0.115868
"Sergei Yastrzhembsky"	0.115685
"Robert Bennett"	0.113299
"Jack Quinn"	0.111382
"Bruce Teitelbaum"	0.110285
"Jim Thomas"	0.109338
"Karl Rove"	0.109289
"Kathleen Willey"	0.104814
"John Danforth"	0.101193
"Ramsey Clark"	0.10052
"Mickey Kantor"	0.0992735
Bisek	0.0962478
"Monica S. Lewinsky"	0.0947198
"Samuel Berger"	0.0946313
"Kenneth Starr"	0.0930465
"Fehmi Agani"	0.089112
"Lucianne Goldberg"	0.0871535
"John Koskinen"	0.0862461
"Sandy Berger"	0.0860779
"Dore Gold"	0.0855492
"Brent Scowcroft"	0.0844776
"Maria Hsia"	0.0824289
confidante	0.0796494
"Ken Starr"	0.0795064
"John Huang"	0.0793175
Colburn	0.0782275
"Bob Shrum"	0.076954
"Thurgood Marshall"	0.0766937
"Alexander Lebed"	0.0762566
"Anatoly Chubais"	0.0761213
"Karen Hughes"	0.0759595
Tevanian	0.0739094
"Monica Lewinsky"	0.0738289
"Nathan Landow"	0.0728296
"Peter Mandelson"	0.0725948
Schippers	0.071263
"Mike Murphy"	0.0712157
Willey	0.070943
Ruff	0.0705413
Maritz	0.0696407
"Dale Bumpers"	0.0682063
"Johnnie Cochran"	0.0678339
"Nabil Shaath"	0.0672178
"Mary Matalin"	0.0670248
Breuer	0.0662429
"Vladimiro Montesinos"	0.0655155
"Barry McCaffrey"	0.0654041
Schmalensee	0.0644839
"Richie Phillips"	0.0644337
Bambang	0.0643758
"Boris Berezovsky"	0.0637515
Trie	0.0632387
Tripp	0.0622142
Currie	0.0621264
"law partner"	0.0617589
Allchin	0.0616936
"Erskine Bowles"	0.0613994
"Dennis Ross"	0.0610962
al-Baz	0.0610843
O'Neil	0.0608614
speechwriter	0.0595774
Ratner	0.0595606
Murr	0.0592255
"press secretary"	0.0590385
"Janet Reno"	0.0588676
"Barry R. McCaffrey"	0.0587332
"Mark McKinnon"	0.0584869
"Michael Kennedy"	0.0582514
Hubbell	0.0580191
bodyguard	0.0573704
"Susan McDougal"	0.0573485
Baz	0.0572639
"security adviser"	0.0568679
litigant	0.0563036
Quackenbush	0.0562892
"Dan Meridor"	0.0560354
Craig	0.0559581
Turetzky	0.0558143
"Julie Hiatt Steele"	0.0557867
"Azem Hajdari"	0.0553762
"Gary Bauer"	0.0544037
"Jaswant Singh"	0.0536264
Meskini	0.0526906
Musa	0.0524731
Bowles	0.0520603
Rodionov	0.0517695
McDougal	0.051715
Ickes	0.051596
Barksdale	0.0512171
Podesta	0.0510441
"Robert F. Kennedy Jr."	0.0506968
"Saeb Erekat"	0.050696
"Yuri Maslyukov"	0.0506471
Barshefsky	0.0501605
"Robert Reich"	0.0494108
"Johnny Chung"	0.0493917
Gangelhoff	0.0492061
Eduardo	0.0490924
Cavallo	0.0488796
Aguirre	0.0488377
"Al Groh"	0.0488051
Eizenstat	0.0487202
Steele	0.0487007
Cooley	0.0484302
Lundy	0.0483867
"Oliver North"	0.0482884
"Lawrence Summers"	0.0480854
Kiareldeen	0.047908
"chief administrative officer"	0.0475529
"Eric Holder"	0.0473551
Kessler	0.0472777
Hajjarian	0.0470288
Ramseys	0.0468377
Espinoza	0.0468193
"Lee Atwater"	0.0464158
"Ralph Reed"	0.0461316
Aoki	0.0459448
accuser	0.0457527
Capano	0.0454369
Berger	0.0453276
Morales	0.0452149
"Bobby Brown"	0.0450751
Farber	0.0447785
Myhrvold	0.0442494
Martorano	0.0440903
Mohamed	0.0439306
"Momir Bulatovic"	0.0439246
"Zbigniew Brzezinski"	0.0438296
Tennant	0.0437941
Mudge	0.0437477
DeFrantz	0.0436731
"Adem Demaci"	0.0434723
"Marc Hodler"	0.0434544
Cuomo	0.0434151
Yazdi	0.0432349
ANGELOS	0.0431624
Vialli	0.0427378
paramour	0.0423426
"spin doctor"	0.0422533
"Rodney Slater"	0.0421652
"Robert Aventajado"	0.0421528
Bakaly	0.0421153
"Superintendent Ruben Zacarias"	0.042034
"Matt Fong"	0.0420296
Felten	0.0419776
Paxon	0.0418997
complainant	0.0417902
acquaintance	0.041765
Symington	0.0416546
CPA	0.0415412
Cornelius	0.0414709
Mandelson	0.0414477
"Jack Kemp"	0.0413524
Sharpton	0.0413452
Councilman	0.0412471
"Patsy Ramsey"	0.041125
Brawley	0.040843
"solicitor general"	0.0408209
"soul mate"	0.0407874
"air force officer"	0.040747
Grachev	0.0405391
Yoo	0.0405237
))
("Bruce Matthews" (desc 1782.27) (sims
"Yancey Thigpen"	0.177645
"Tony Hutson"	0.176492
"Heath Irwin"	0.157403
"Mike Jones"	0.151102
"JEVON KEARSE"	0.149993
"Solomon Page"	0.146734
"Bob Whitfield"	0.146727
"Bruce Armstrong"	0.14132
"Lomas Brown"	0.140696
"Jumbo Elliott"	0.140457
"Gene Williams"	0.137764
"Mark Tuinei"	0.137029
"Nate Newton"	0.133623
"Flozell Adams"	0.132493
"Steve McNair"	0.131768
"Everett McIver"	0.126263
"Larry Allen"	0.125186
"Darrell Green"	0.113293
"Eddie George"	0.110975
"Kevin Dyson"	0.110039
"Jackie Harris"	0.108567
"Terry Porter"	0.107018
"Todd Rucci"	0.105467
"Sherman Douglas"	0.105348
"Damien Woody"	0.104004
"Dave Wohlabaugh"	0.0985521
"John Randle"	0.0978216
"Orlando Brown"	0.0960762
"Jason Fabini"	0.095957
"Eric Murdock"	0.0941403
"Max Lane"	0.0937124
"Kris Farris"	0.0928189
"Derek Harper"	0.0910023
"Joe Kleine"	0.0883375
"Dale Hunter"	0.0871347
"Trace Armstrong"	0.0849616
"Andre Reed"	0.0846623
"Mike Sullivan"	0.0846381
"Matt Santangelo"	0.0843487
"John Tait"	0.0838557
"Cliff Ronning"	0.0825323
"Mark Jackson"	0.0802589
"Brian Williams"	0.0798516
"Darrick Martin"	0.0797572
"Guy Carbonneau"	0.079729
"Mike Bibby"	0.0783252
"Michael Redd"	0.078208
"Tedy Bruschi"	0.077538
"Ron Harper"	0.0769105
"Bimbo Coles"	0.0763976
"Erik Williams"	0.0762514
"Ferric Collons"	0.0760934
"Ray Ferraro"	0.075969
"Michael Strahan"	0.075787
"Henry Thomas"	0.0756582
"Scoonie Penn"	0.0756226
"Nikki McCray"	0.0755597
"Kim Perrot"	0.0755535
"Dimitrius Underwood"	0.0745233
"L.J Shelton"	0.0744919
"Lester Archambeau"	0.0739146
"Doug Weight"	0.0738388
"Chad Eaton"	0.0736341
"Thurman Thomas"	0.0736019
"Herb Williams"	0.073569
"Jimmy Oliver"	0.0734506
"Anita Wachter"	0.0733759
"Dale Ellis"	0.0733467
"Leon Lett"	0.0712545
"Derek Fisher"	0.0712524
"Chris Mihm"	0.0712328
"Kevin Johnson"	0.0704667
"Mario Elie"	0.0700129
"David Wesley"	0.069678
"Reggie White"	0.0695119
"Olden Polynice"	0.0689034
"Bill Wennington"	0.0688049
"B.J Armstrong"	0.0686484
"Brandon Granville"	0.0686169
"Anthony Johnson"	0.0680633
"Warren Sapp"	0.0680453
"Avery Johnson"	0.0680114
"Bobby Phills"	0.0677153
"Neil O'Donnell"	0.0677048
"Lou Dobbs"	0.067495
"Hu Weidong"	0.0674905
"Brevin Knight"	0.0670886
"Mitch Richmond"	0.0669831
"Steve Kerr"	0.0669033
"Aeneas Williams"	0.0667855
"Bobby Holik"	0.066696
"John Salley"	0.0660933
"Jeff Trepagnier"	0.0660779
"Grant Fuhr"	0.0658044
"Tyronn Lue"	0.0657879
"Lothar Matthaeus"	0.0654302
"William Avery"	0.0649916
"Eric Snow"	0.0649258
"Ebenezer Ekuban"	0.06479
"Greg Anthony"	0.0646183
"Dennis Scott"	0.0646069
"Brandon Mitchell"	0.0645855
"Terry Allen"	0.0644607
"Liu Xuan"	0.0643979
"Khalid El-Amin"	0.0643751
"Lawrence Taylor"	0.0636635
"Andre Miller"	0.0634221
"Jaren Jackson"	0.0632862
"Tim Hardaway"	0.0631979
"Nick Anderson"	0.0631735
"Erick Barkley"	0.0631483
"Alonzo Spellman"	0.0630825
Lue	0.0630499
"Bryant Young"	0.0627183
"Mateen Cleaves"	0.0626615
"Shammond Williams"	0.0623808
"Ernie Zampese"	0.0623191
"Terry Cummings"	0.0622236
"Jessie Tuggle"	0.0620594
"Brent Jones"	0.0618584
"Mark Williams"	0.0613693
"Chris Palmer"	0.0612287
"Charles Haley"	0.0611726
"Ukari Figgs"	0.0610868
"Teresa Weatherspoon"	0.0610079
"Mike Martz"	0.0609466
"Toby Bailey"	0.0608254
"Ricky Moore"	0.0604154
"Chris Slade"	0.0601834
"Chris Childs"	0.060155
"Hubert Davis"	0.0599832
"Cornelius Bennett"	0.0597961
"Michele Timms"	0.0596909
Dele	0.0592377
"Eddie House"	0.0591002
"Ricky Rudd"	0.0584221
"Billy Knight"	0.0583487
"Dion Glover"	0.0583267
"Michael Myers"	0.0583088
"Jamal Lewis"	0.0582787
"Hersey Hawkins"	0.0580927
"Sam Mack"	0.0576785
"Eddie Murray"	0.0576404
"Cynthia Cooper"	0.0575842
"Rex Chapman"	0.0573134
"Mattel Inc."	0.057296
"Eric Piatkowski"	0.0572878
"Joe Dumars"	0.0572676
"Aaron Williams"	0.0572445
libero	0.0570796
"Courtney Brown"	0.0568414
"line coach"	0.0568367
"Glen Sather"	0.0566815
"Isaiah Rider"	0.0565532
"Brian Shaw"	0.0561541
"Lisa Leslie"	0.0558901
"Manny Malhotra"	0.0556861
"David Robinson"	0.0556589
"John Stockton"	0.055329
"Dawn Staley"	0.0548725
"Greg Ostertag"	0.0548422
"Ted Johnson"	0.0547589
"Wayne Turner"	0.0546737
"Ryan Bailey"	0.0546518
"Will Perdue"	0.0546099
"Bruce Smith"	0.0545445
"Steve DeBerg"	0.0544592
"Rik Smits"	0.0544283
"Jason Taylor"	0.0543354
"Mark Grace"	0.0542772
"Robert Pack"	0.0540793
"Brian Billick"	0.0538428
"Brian Skrudland"	0.0537746
"Tony White"	0.0537611
"Tariq Abdul-Wahad"	0.0537304
"ball club"	0.0536783
"Al Groh"	0.053667
"John Vanbiesbrouck"	0.0533233
"Rick Tocchet"	0.0531782
"Jason Terry"	0.0528927
"Ken Daneyko"	0.0528613
"Doug Pederson"	0.0528152
"Sam Adams"	0.0525009
"Jason Williams"	0.0523698
"Jamie Feick"	0.0523562
Mims	0.0523151
"Willie McGinest"	0.0523043
"Charlie Ward"	0.052177
"Howard Eisley"	0.0521748
"Randy Brown"	0.0521361
"Voshon Lenard"	0.0521346
"Bonzi Wells"	0.0520197
"Dan Majerle"	0.0519949
"Dana Barros"	0.0519706
"Ephraim Salaam"	0.0519031
"Jesse Orosco"	0.0516264
"Johnny Unitas"	0.0514785
"Garry Galley"	0.0514462
"Trajan Langdon"	0.0514201
"Vitaly Potapenko"	0.0513415
))
("Bruce Smith" (desc 4568.51) (sims
"Andre Reed"	0.228875
"Trace Armstrong"	0.173106
"Eric Moulds"	0.155182
"Courtney Brown"	0.141507
"Michael Strahan"	0.141314
"Thurman Thomas"	0.139593
"Charles Haley"	0.131216
"Simeon Rice"	0.130252
"Reggie White"	0.129705
"Chuck Smith"	0.129101
"Warren Sapp"	0.127151
"Jim Kelly"	0.125027
"Andre Wadsworth"	0.12304
"Jason Taylor"	0.120081
"Ebenezer Ekuban"	0.117477
"Kavika Pittman"	0.116039
"Greg Ellis"	0.111937
"Leon Lett"	0.110633
"Ferric Collons"	0.110112
"Dimitrius Underwood"	0.109041
"Willie McGinest"	0.107065
"JEVON KEARSE"	0.103302
"Pete Holland"	0.100233
"Lester Archambeau"	0.100117
"Derrick Alexander"	0.0994355
"Alonzo Spellman"	0.0938565
"John Randle"	0.0936879
"Dana Stubblefield"	0.0931056
"Mike Jones"	0.0896056
"Brandon Mitchell"	0.0892751
"Neil Smith"	0.08779
"Bo Jackson"	0.0867972
"Rob Johnson"	0.0860631
"Robert Brooks"	0.0856863
"Emmitt Smith"	0.0852602
"David Jones"	0.0834967
"Bryant Young"	0.0813867
"Sam Adams"	0.0813241
"Howie Long"	0.0789617
"Darrell Green"	0.0765286
"Randall Cunningham"	0.0751758
"Darren Woodson"	0.0738978
"Champ Bailey"	0.0716937
"Doug Flutie"	0.0713024
"Dan Marino"	0.0698012
"Steve Young"	0.0694253
"Chad Hennings"	0.0685862
"Henry Thomas"	0.0685479
"Kevin Mathis"	0.0678342
"Derrick Thomas"	0.0673778
"Barry Sanders"	0.0671428
"Shane Dronett"	0.0668647
"Aaron Williams"	0.0661203
"Ricky Watters"	0.0654819
"Larry Allen"	0.0641287
"Todd Rucci"	0.0637604
"Cortez Kennedy"	0.0635999
"Rich Brooks"	0.0630323
"Charles Woodson"	0.0630163
"Brad Johnson"	0.062788
"Vinny Testaverde"	0.0617873
"Ernie Mills"	0.0613076
"Kevin Smith"	0.0607188
"Eric Dickerson"	0.0603861
"Bobby Hamilton"	0.0602513
"Daryl Johnston"	0.0602014
"Hristo Stoichkov"	0.0600244
"Travis Hall"	0.0598401
"Dave Campo"	0.059749
"Sam Gash"	0.0592739
"Mark Smith"	0.0588957
"John Elway"	0.0578564
"LaVar Arrington"	0.0576086
"Chad Eaton"	0.0573245
"Eric Swann"	0.0559003
"Michael Myers"	0.0552162
"Terry Allen"	0.0546862
Farr	0.0546251
"Bruce Matthews"	0.0545445
"Cris Carter"	0.0545416
"Chris Chandler"	0.054277
"Jeff George"	0.0542591
"Randy Moss"	0.0539829
"Deion Sanders"	0.0532984
"Steve DeBerg"	0.0532532
"John Vanbiesbrouck"	0.0526119
"Jake Reed"	0.0522344
"Jim Harbaugh"	0.0514877
"Steve Atwater"	0.0514261
"Michael Irvin"	0.0512434
"Drew Bledsoe"	0.0511754
"Skip Hicks"	0.0506975
"Troy Aikman"	0.0503488
"Adrian Murrell"	0.0501799
"Dave McGinnis"	0.0499327
"Lomas Brown"	0.0494615
"Gary Anderson"	0.0493399
"Dixon Ward"	0.0486805
"Jim Brown"	0.0482258
"Paul Taylor"	0.0481709
"Bruce Armstrong"	0.0478953
"Eric Davis"	0.0478479
"Brett Favre"	0.0475336
"Larry Centers"	0.0469208
"Derek Harper"	0.0466868
"Herschel Walker"	0.04643
Whitfield	0.0463055
"Jason Sehorn"	0.046118
"Everett McIver"	0.0459461
"Larry Whigham"	0.0459119
"Ben Coates"	0.0458022
"Nate Newton"	0.0455879
lineman	0.0455734
"Keith Byars"	0.0455181
"Cornelius Bennett"	0.0452291
"Buffalo Bills"	0.0451466
"Mario Elie"	0.0450686
"Aeneas Williams"	0.0449156
"Joey Galloway"	0.0449088
Laudrup	0.0447877
Robson	0.044565
"Julius Erving"	0.0445057
"Gheorghe Hagi"	0.0444768
"Jamal Lewis"	0.0443716
"three sacks"	0.0440987
"Dennis Johnson"	0.0440431
"Stephen Davis"	0.0439805
"Bubby Brister"	0.0436976
"one sack"	0.0435946
"Jumbo Elliott"	0.0426347
"Joe Kleine"	0.0423303
"Gary Gaetti"	0.0421852
"Dave Wohlabaugh"	0.042066
"Ty Law"	0.0420163
Sapp	0.0418596
"Mark Grace"	0.0418266
"Fred Couples"	0.04178
"HERMAN MOORE"	0.0417119
"Marshall Faulk"	0.0416205
Pittman	0.0416085
"Terry Porter"	0.0415614
"Lothar Matthaeus"	0.0413964
"Marcus Allen"	0.041372
"Zach Thomas"	0.0412459
"Henry Aaron"	0.0411414
"Dale Ellis"	0.0409021
"Joe Montana"	0.0408244
"Kjetil Andre Aamodt"	0.0407609
Romanowski	0.040557
"Johnny Bench"	0.0403157
"Charles Oakley"	0.040273
"Thomas Haessler"	0.0401054
"Ron Harper"	0.0400824
))
("Bruce Springsteen" (desc 8177.15) (sims
Springsteen	0.213352
"Billy Joel"	0.161776
"Elton John"	0.155807
"Bob Dylan"	0.1547
"Rolling Stones"	0.15142
"Paul Simon"	0.145361
"Fleetwood Mac"	0.13576
"Patti Smith"	0.131705
"John Mellencamp"	0.130942
"Pink Floyd"	0.130892
"Jimi Hendrix"	0.127801
"Joan Baez"	0.121783
Beatles	0.121171
"Mick Jagger"	0.118967
Metallica	0.117051
"Neil Young"	0.115461
"David Bowie"	0.114844
"Eric Clapton"	0.114175
U@	0.114036
"Mariah Carey"	0.113288
"Diana Ross"	0.113099
"Randy Newman"	0.112877
"Sheryl Crow"	0.112246
R.E.M	0.10857
"Stevie Wonder"	0.108343
"Marilyn Manson"	0.108246
"Pearl Jam"	0.10641
"Tina Turner"	0.105386
"Michael Jackson"	0.104988
"Bonnie Raitt"	0.104653
"Woody Guthrie"	0.10424
"Grateful Dead"	0.103698
"James Taylor"	0.103515
"Celine Dion"	0.103402
"George Harrison"	0.10318
Aerosmith	0.102498
"Janet Jackson"	0.101272
"John Lennon"	0.0995677
"Lenny Kravitz"	0.0987374
"Spice Girls"	0.0986484
"Janis Joplin"	0.0969174
"Bob Marley"	0.0953476
"Whitney Houston"	0.0934191
"Garth Brooks"	0.0933408
"Elvis Costello"	0.0931694
Cher	0.0930558
"Joni Mitchell"	0.0921453
"Dolly Parton"	0.0918602
"Barbra Streisand"	0.0916232
"Elvis Presley"	0.0913673
"Led Zeppelin"	0.0911349
"Jimmy Buffett"	0.089663
"Willie Nelson"	0.0895257
"Van Morrison"	0.0894988
"Aretha Franklin"	0.0892284
"Carlos Santana"	0.0881652
"Pete Seeger"	0.0868192
"Jim Morrison"	0.0855444
"Backstreet Boys"	0.0832647
"Hank Williams"	0.0831334
"Ricky Martin"	0.082426
Phish	0.0817816
"Alanis Morissette"	0.0811429
"Lou Reed"	0.0810397
"Peter Gabriel"	0.0804183
Dylan	0.080274
"Emmylou Harris"	0.0797435
Sinatra	0.0797207
"Iggy Pop"	0.0786909
"Paul McCartney"	0.0780058
"James Brown"	0.0773544
"Frank Sinatra"	0.0771949
"Tom Petty"	0.0771137
"Beach Boys"	0.0768817
"Don Henley"	0.0764239
Byrds	0.0755788
Madonna	0.0754712
"Smashing Pumpkins"	0.0749668
"Steely Dan"	0.0746186
"Dave Matthews Band"	0.074536
"Brian Wilson"	0.0742759
sting	0.0737918
"Chris Gaines"	0.0726292
"Britney Spears"	0.0706579
AC/DC	0.0702085
"George Michael"	0.0699288
"Phil Collins"	0.0698277
"Merle Haggard"	0.0684865
Joel	0.0680431
"Ray Charles"	0.0677637
"Natalie Cole"	0.0673729
"Limp Bizkit"	0.067206
"Kurt Cobain"	0.0670262
"Dixie Chicks"	0.0667575
"Melissa Etheridge"	0.0666422
"Black Sabbath"	0.0665931
"Chrissie Hynde"	0.0665645
Bono	0.0662062
Hootie	0.0654229
"Mary J. Blige"	0.0648161
Ellington	0.064793
Yoakam	0.0644227
Raitt	0.0643268
Lennon	0.0641235
Gershwin	0.0635587
"N Sync"	0.063377
"Tracy Chapman"	0.0631431
Selena	0.0626663
"Lauryn Hill"	0.0620692
Eurythmics	0.0616128
McCartney	0.061391
"Jerry Garcia"	0.0612277
"Marvin Gaye"	0.0611304
"Loretta Lynn"	0.061121
"Johnny Cash"	0.0608774
"Beastie Boys"	0.0600624
"Puff Daddy"	0.0590406
Streisand	0.0589188
"Linda Ronstadt"	0.0588883
"Jon Bon Jovi"	0.0587753
ASO	0.057858
Elvis	0.057768
"Louis Armstrong"	0.0577425
Presley	0.0575699
"Tin Pan Alley"	0.0575177
"Billie Holiday"	0.0571497
Korn	0.0570709
Monkees	0.0563242
Hanson	0.0556196
"George Gershwin"	0.0554962
MANA	0.0553861
Santana	0.0551052
"Little Richard"	0.0550977
"Indigo Girls"	0.0550806
"Kris Kristofferson"	0.0545623
Buffett	0.0543582
"Shania Twain"	0.0541385
Hendrix	0.0540546
mariachi	0.0539388
"Philip Glass"	0.0535249
Mahler	0.0530979
"Judy Garland"	0.0530605
Pavarotti	0.0530564
"GLORIA ESTEFAN"	0.0529507
"B.B King"	0.0529424
bluegrass	0.0528871
"Sex Pistols"	0.0528223
"Miles Davis"	0.0525562
Beck	0.0520566
"Waylon Jennings"	0.0518748
"Kid Rock"	0.0516835
"high fidelity"	0.0515068
uptempo	0.0514801
"Lucinda Williams"	0.0513093
Blondie	0.051204
"Cole Porter"	0.0505652
choir	0.0504761
"Andrea Bocelli"	0.0504008
"New York Philharmonic"	0.0500213
Dion	0.0499047
"Bill Cosby"	0.0497714
Manson	0.0496748
Supremes	0.049656
Guthrie	0.0496539
Vivaldi	0.0494024
"big band"	0.0492519
"Van Halen"	0.0490866
"Toni Braxton"	0.0487761
Midler	0.0483442
"Rosie O'Donnell"	0.0482782
"Dwight Yoakam"	0.0480309
"Public Enemy"	0.0477213
"Dave Matthews"	0.0476005
"Elizabeth Taylor"	0.04742
"R&AMP;B"	0.0473994
"George Strait"	0.0472383
Bowie	0.0471119
"Duke Ellington"	0.0466256
Eminem	0.0466089
Marley	0.0465804
"Benny Goodman"	0.0464523
Crosby	0.0463641
"R. Kelly"	0.0462635
Bjork	0.0462502
Speer	0.0462465
Joplin	0.0459452
Motown	0.045937
Eagles	0.0459247
"Tony Bennett"	0.0459135
"Rush Limbaugh"	0.0458478
Puente	0.0457673
"Lyle Lovett"	0.0457296
Gaines	0.0456971
"E Street Band"	0.0455419
"Dean Martin"	0.0453901
"Tom Jones"	0.0452874
"Bette Midler"	0.0445574
bagpipe	0.0445031
"Jack Kerouac"	0.0444313
"rock 'n' roll"	0.044418
))
("Bruce Teitelbaum" (desc 1308.21) (sims
"Shelly Finkel"	0.290901
"David Bar-Illan"	0.283659
"Sergei Yastrzhembsky"	0.28187
"Ahmed Tibi"	0.273737
"John Weaver"	0.252694
"Karen Hughes"	0.245841
"Danny Yatom"	0.235817
"Dan Schnur"	0.225143
"Rahm Emanuel"	0.213351
"Buck Showalter"	0.212691
"Ken Johnson"	0.199934
"Joe Lockhart"	0.199676
"Gene Sperling"	0.187771
"Tom Kelly"	0.183425
"Jim Leyland"	0.182187
"Harold Ickes"	0.180634
"Terry Collins"	0.175009
"Karl Rove"	0.171915
"Paul Begala"	0.169992
"George Stephanopoulos"	0.168863
"Mike McCurry"	0.167167
"Don Zimmer"	0.166389
"Mike Murphy"	0.162122
"Shaul Mofaz"	0.160588
"Bobby Cox"	0.155048
el-Baz	0.151966
"Mike Hargrove"	0.149728
"Lou Piniella"	0.149082
"Carol Bellamy"	0.147834
"Vladimiro Montesinos"	0.143456
"Tim Johnson"	0.143061
"Barry McCaffrey"	0.142597
"Don Baylor"	0.141483
"Adem Demaci"	0.140615
"Tony La Russa"	0.137895
"Bobby Valentine"	0.136367
"David Jones"	0.13482
"Billy Martin"	0.133647
"Jack Valenti"	0.132009
"Fehmi Agani"	0.130849
"David Smith"	0.129333
"Ralph Reed"	0.128283
"Dore Gold"	0.127333
"Carter Eskew"	0.127078
"Mike Scioscia"	0.122384
"Davey Johnson"	0.122319
"Sidney Blumenthal"	0.120928
"Johnny Oates"	0.120743
"Callista Bisek"	0.120553
"Lee Atwater"	0.116106
"Daim Zainuddin"	0.11558
"Barry R. McCaffrey"	0.114564
"Tony Coelho"	0.114521
"Dusty Baker"	0.114491
"Tommy Lasorda"	0.113018
"Alexander Lebed"	0.112514
"Mary Matalin"	0.111687
"Bob Shrum"	0.110972
"Bruce Lindsey"	0.110285
Baz	0.109978
"Ronnie Flanagan"	0.109386
"Joel Klein"	0.108595
"Felipe Alou"	0.107854
"Jimy Williams"	0.107564
"David Johnson"	0.104963
"Asa Hutchinson"	0.10361
"Condoleezza Rice"	0.103411
"Boris Fyodorov"	0.10339
"Richie Phillips"	0.103313
Blumenthal	0.102823
"Mark McKinnon"	0.101977
"Jim Turner"	0.101415
"Wim Duisenberg"	0.0998304
"John Koskinen"	0.0991409
"Yitzhak Molcho"	0.0989361
"Xie Zhenhua"	0.0969262
Prewitt	0.0963798
"Joe Torre"	0.0958329
Lehane	0.0954628
"Hans von Sponeck"	0.0931485
"Dick Morris"	0.0920717
"Jim Thomas"	0.0911806
Fleischer	0.0911127
"Bobby Brown"	0.0896743
Demaci	0.088738
"Erskine Bowles"	0.0885525
"Robert Aventajado"	0.0881877
"Tom Lasorda"	0.0878765
Lockhart	0.0859744
"Gary Johnson"	0.0851282
al-Baz	0.0849705
"Michael Collins"	0.0848994
"Hashim Thaci"	0.0848383
"James Baker"	0.084562
"Renato Ruggiero"	0.0842444
Menchu	0.0842177
"John Podesta"	0.0841615
"Mike Jones"	0.0838343
"George Tenet"	0.0834479
"Marzuki Darusman"	0.0831667
"John Morris"	0.0822454
"Billy Hunter"	0.0821326
"James Carville"	0.0820724
"Anatoly Chubais"	0.0812087
"Ray Evernham"	0.081095
"Gary Bauer"	0.0810462
Robson	0.0803657
"Jim Jones"	0.0791983
Insulza	0.0788408
"Mitt Romney"	0.078164
"Larry Dierker"	0.0780992
"Sandy Alderson"	0.0779725
"Zoran Djindjic"	0.0779207
Kornberg	0.0775262
"Tom Johnson"	0.0773907
"Xanana Gusmao"	0.0770693
"John Anderson"	0.0770056
"Zhou Nan"	0.0766486
"Lino Oviedo"	0.0766267
"Nabil Shaath"	0.0764085
"Billy Payne"	0.0761655
"Alex Ferguson"	0.0761252
Strauss-Kahn	0.0760929
Yastrzhembsky	0.0755911
"Bernie Ecclestone"	0.0754781
Gangelhoff	0.0750501
"Henry Shelton"	0.0748155
"Sandy Berger"	0.0746851
Shamshad	0.074618
"Michel Camdessus"	0.0743413
"Henry H. Shelton"	0.074263
"Dai Xianglong"	0.0741023
"Colin Campbell"	0.073399
Zucker	0.0733253
"Jaswant Singh"	0.073195
Aguirre	0.0730438
"Dai Bingguo"	0.0726578
"Wolfgang Schaeuble"	0.0726237
"Brent Scowcroft"	0.0726109
"Gregory Craig"	0.0722491
Polian	0.0713676
"Tom Welch"	0.0712079
"Vincent Foster"	0.0711232
Solis	0.0711025
"Charles LaBella"	0.0708959
Yazdi	0.0703565
"Kevin Keegan"	0.0701509
"Sadako Ogata"	0.0699137
"Samuel Berger"	0.0694386
"Don Nelson"	0.0694367
"Lawrence Summers"	0.0691789
Ikimi	0.0690604
"Pervez Musharraf"	0.06885
"Dwight Clark"	0.0681355
"Vladimir Yakovlev"	0.0679728
"Bernard Kouchner"	0.0678064
"Glenn Hoffman"	0.067763
"Ed Bryant"	0.06745
McGuinness	0.0673545
"Dick Pound"	0.067077
"Hans Blix"	0.0667444
Tarawneh	0.0659629
Mandelson	0.0658425
"John Sweeney"	0.0657773
McCabe	0.0656362
Hybl	0.0655565
"Glenn Hoddle"	0.0654955
"de Charette"	0.0651061
Wiranto	0.0643319
"John Shalikashvili"	0.0642867
"Mary Robinson"	0.0642644
Blatter	0.0640279
"Mark Smith"	0.0639416
Jayakumar	0.0637386
Rosenthal	0.0631139
"Harry Sinden"	0.0629416
Passarella	0.0628164
Piot	0.0622866
McNamara	0.0622659
Murad	0.0622346
Hutchinson	0.0621827
"Davey Lopes"	0.0621387
"Yuri Maslyukov"	0.0614078
Barbour	0.0610805
Malu	0.0610289
R-Ark.	0.0609063
"Bill Lann Lee"	0.0607494
"Chris Smith"	0.0607067
"John Smith"	0.0605755
"Dave Johnson"	0.0605621
"Saeb Erekat"	0.0596787
Bartlett	0.0595362
"Rolf Ekeus"	0.0594857
"Eisuke Sakakibara"	0.0593602
"Gennady Zyuganov"	0.0593565
"Ron Brown"	0.0591844
"Ansumane Mane"	0.0591843
Whipple	0.0591768
"Esmat Abdel Meguid"	0.059103
spokespeople	0.0590925
))
("Bruce Willis" (desc 9818.6) (sims
"Harrison Ford"	0.175153
"Arnold Schwarzenegger"	0.15878
"John Travolta"	0.153828
"Tom Cruise"	0.150026
"Brad Pitt"	0.147538
"Sylvester Stallone"	0.145044
"Michael Douglas"	0.144561
"Denzel Washington"	0.139888
"Matt Damon"	0.135378
"Gene Hackman"	0.132668
"George Clooney"	0.126852
"Kevin Spacey"	0.126195
"Nicole Kidman"	0.125473
"Mel Gibson"	0.124672
"Leonardo DiCaprio"	0.123687
"Jim Carrey"	0.121955
"Robert Redford"	0.119498
"Rob Lowe"	0.118442
"Kim Basinger"	0.117411
"Tom Hanks"	0.117124
"Robin Williams"	0.116235
"Sandra Bullock"	0.114163
"Kevin Costner"	0.112888
"Eddie Murphy"	0.111409
"Kevin Kline"	0.110308
"Danny Glover"	0.10929
"Edward Norton"	0.109266
"Demi Moore"	0.107065
"Meg Ryan"	0.105845
"Michelle Pfeiffer"	0.105128
"Samuel L. Jackson"	0.105018
"Keanu Reeves"	0.104504
"Richard Gere"	0.10272
"Julia Roberts"	0.101993
"Christopher Reeve"	0.101442
"Geoffrey Rush"	0.1008
"Dustin Hoffman"	0.0995243
"Clint Eastwood"	0.0990197
"Kevin Bacon"	0.0985185
"Wesley Snipes"	0.0973041
"Jackie Chan"	0.0967564
"Nick Nolte"	0.0959627
"Sean Penn"	0.0947971
"Meryl Streep"	0.0943614
"Robert DeNiro"	0.0938008
"Adam Sandler"	0.0936441
"Jodie Foster"	0.0935458
"Steve Martin"	0.0917921
"Woody Harrelson"	0.0912784
"Russell Crowe"	0.0910731
"Rupert Everett"	0.0909414
"Johnny Depp"	0.089559
"Hilary Swank"	0.0892659
"Burt Reynolds"	0.0891747
"Ben Affleck"	0.0889004
"Neve Campbell"	0.0878403
"Sidney Poitier"	0.0876147
"Alec Baldwin"	0.0876104
"Hugh Grant"	0.0870045
"Will Smith"	0.086307
"Winona Ryder"	0.0855436
"Tom Selleck"	0.0838297
"AL PACINO"	0.0829309
"Michael Clarke Duncan"	0.0828288
"Tommy Lee Jones"	0.0824458
"Sharon Stone"	0.0819993
"Warren Beatty"	0.0817608
"Matthew McConaughey"	0.0815859
"Susan Sarandon"	0.0808139
Costner	0.0798349
"Robert de Niro"	0.079524
"John Wayne"	0.0793774
"Stanley Tucci"	0.0793057
"Steve McQueen"	0.0792748
"Jessica Lange"	0.0789074
"Jimmy Smits"	0.0768776
"Nicolas Cage"	0.0767867
"Chow Yun-Fat"	0.0761004
"Kate Winslet"	0.0755718
"Marlon Brando"	0.0753535
"Jamie Lee Curtis"	0.075031
"Jack Lemmon"	0.0748397
"Paul Newman"	0.0745417
"Annette Bening"	0.0739694
"Laurence Fishburne"	0.0739298
"Mark Wahlberg"	0.0738001
"Jack Nicholson"	0.0734073
"William Shatner"	0.0732246
"Bruce Lee"	0.0729608
"Richard Dreyfuss"	0.07186
"Chevy Chase"	0.0712939
"Jeff Bridges"	0.0709452
"Charlton Heston"	0.070941
"Val Kilmer"	0.0708219
"Robert Downey Jr."	0.0707275
"Cameron Diaz"	0.0701363
"Norm MacDonald"	0.0701182
"Helen Hunt"	0.0697887
"Tim Allen"	0.0696012
"Gwyneth Paltrow"	0.069454
"Jeremy Irons"	0.0692228
"Liam Neeson"	0.0688389
"Michael J. Fox"	0.0685818
"Ralph Fiennes"	0.0675164
"Whoopi Goldberg"	0.0673533
"Barbra Streisand"	0.0669294
"Anthony Hopkins"	0.066725
Sandler	0.0657044
"Melanie Griffith"	0.0656946
"Jane Fonda"	0.0656858
"Matthew Broderick"	0.0645911
"Patricia Arquette"	0.0643528
"John Malkovich"	0.0633961
"Oprah Winfrey"	0.0631479
"John Goodman"	0.0631469
"John Cusack"	0.0631045
"Jeff Goldblum"	0.0629647
"Cuba Gooding Jr."	0.0628556
"Jon Voight"	0.0628115
"James Van Der Beek"	0.0625198
"Sigourney Weaver"	0.0623199
"Woody Allen"	0.0618299
"Steven Spielberg"	0.0618127
"Michael Caine"	0.0615926
"Charlize Theron"	0.0615397
"Spike Lee"	0.0612279
"Edward Furlong"	0.0612101
Cher	0.0609539
"Garry Shandling"	0.0608726
"Halle Berry"	0.0606992
"Roberto Benigni"	0.060393
"Faye Dunaway"	0.0603781
"Cindy Crawford"	0.0603702
"Antonio Banderas"	0.0603337
"Gregory Peck"	0.0602714
"Billy Crystal"	0.0602529
"Martin Lawrence"	0.060241
"Vanessa Redgrave"	0.0601353
"Mary Tyler Moore"	0.0599438
"Drew Barrymore"	0.0596527
"Carol Burnett"	0.0594766
"Emily Watson"	0.0594045
"Brendan Fraser"	0.0593443
"Bette Midler"	0.0593048
"Whitney Houston"	0.0591706
"Gillian Anderson"	0.0590274
"Jennifer Lopez"	0.0588026
"Pierce Brosnan"	0.0586337
"Billy Bob Thornton"	0.0585729
"Diane Keaton"	0.0584259
"Jude Law"	0.0583502
"David Duchovny"	0.0583216
"Ian McKellen"	0.0577865
"Drew Carey"	0.0576949
"Sean Connery"	0.0576552
"Sarah Jessica Parker"	0.0574568
"Kirsten Dunst"	0.0572329
"Aidan Quinn"	0.0569631
"Glenn Close"	0.0568566
"Nathan Lane"	0.0567844
"Dennis Quaid"	0.0558594
"David Spade"	0.0558349
"Ted Danson"	0.0557073
"Judi Dench"	0.0556953
"Bill Paxton"	0.0556169
"Minnie Driver"	0.0551646
"Kenneth Branagh"	0.0550481
"Jimmy Stewart"	0.054864
"Heather Graham"	0.054857
"Courtney Love"	0.0546922
"Brian Dennehy"	0.054625
"Bill Murray"	0.0544768
"Albert Brooks"	0.054359
"Helen Mirren"	0.0542436
"Angelina Jolie"	0.0542313
"Natalie Portman"	0.0541083
"Ben Stiller"	0.0536209
"Danny DeVito"	0.0535032
Schwarzenegger	0.0531061
Kidman	0.0527282
Hank	0.052632
"Jennifer Aniston"	0.0525004
"Lily Tomlin"	0.052308
"Calista Flockhart"	0.0522865
"Marx Brothers"	0.0520264
"James Earl Jones"	0.0519651
"Taye Diggs"	0.051895
"Morgan Freeman"	0.0518776
"Chris Cooper"	0.0518622
"Mike Myers"	0.0515591
"Patrick Stewart"	0.0514862
Bogart	0.0512706
"Kelsey Grammer"	0.0512102
Damon	0.0511239
"Goldie Hawn"	0.0509649
"Peter Lynch"	0.0509023
"Kirk Douglas"	0.0506148
"Audrey Hepburn"	0.0503851
"Jennifer Love Hewitt"	0.0503744
"Andre Braugher"	0.0500917
))
(Bruckner (desc 1733.82) (sims
Mahler	0.276395
Prokofiev	0.201534
Tchaikovsky	0.192981
Mendelssohn	0.168614
Beethoven	0.166777
Brahms	0.165649
Schubert	0.152521
Mozart	0.152059
Shostakovich	0.14831
Stravinsky	0.14326
Strauss	0.141016
Bach	0.137131
DVORAK	0.131016
Chopin	0.128607
Liszt	0.125125
Rachmaninoff	0.120227
Schumann	0.10959
Berlioz	0.100501
Debussy	0.0969725
Bartok	0.0919476
Rossini	0.0838954
Wagner	0.0750423
Copland	0.0714521
Jeremiah	0.070454
Britten	0.0689061
Schoenberg	0.0685799
Ravel	0.0629883
Messiaen	0.0625037
Haydn	0.0587332
Gluck	0.0555322
Puccini	0.0537369
"John Cage"	0.0502268
"Deutsche Grammophon"	0.0488741
Ives	0.0478996
Cronin	0.0476337
Gardiner	0.0460923
Verdi	0.0460627
Joplin	0.045839
"Beach Boys"	0.0455608
Grunwald	0.0455113
Goff	0.045387
Kusama	0.0452264
Handel	0.0451138
Gaelic	0.0446999
Sahadi	0.0446425
Harbison	0.0437169
"Israeli Foreign Ministry"	0.0435149
Bowie	0.0434054
Etherton	0.0422636
Opry	0.0422035
"quantum theory"	0.0421836
Reinhardt	0.0421586
"fifth and sixth"	0.0417836
MLS	0.0412346
Zeb	0.0401079
))
(Bruder (desc 1463.92) (sims
Wiese	0.284832
Schwarz	0.230909
Volpe	0.177795
"Russell Peeler"	0.137466
Nikitin	0.130353
Hiett	0.128624
Mikhailov	0.124619
Markhasev	0.1216
Bakaly	0.120291
Lileikis	0.110481
"Charles Schwarz"	0.108936
Espy	0.106003
Boesak	0.105939
Priebke	0.1055
Laudor	0.104372
Manbar	0.104069
Fortier	0.104024
Livoti	0.103572
Fassett	0.102394
"Justin Volpe"	0.0994401
Neulander	0.0993362
Mapes	0.0984704
LeFave	0.0973842
Reimer	0.0972446
Merlino	0.0965682
Harris-Lewis	0.0961661
Sebaggala	0.0952304
Idris	0.09522
Khalil	0.0949126
Papon	0.0943545
"Maturino Resendiz"	0.0939317
Karr	0.0937602
Tarver	0.0936663
Jenoff	0.0936029
Craxi	0.0920991
Demjanjuk	0.09133
Schmitz	0.0911667
Giacchetto	0.0908879
Brownlee	0.0908231
McGinn	0.0901481
"Marianne Gingrich"	0.0901148
Blackthorne	0.0882234
Einhorn	0.0882034
McMellon	0.0877348
Abernathy	0.0876173
Imelda	0.0873664
"Michael Skakel"	0.0866769
Yoo	0.086547
Jewell	0.0865363
Eappens	0.086429
Whitacre	0.0861273
"Richard Ashby"	0.0849404
Symington	0.0848403
McKinney	0.0837595
"El Hage"	0.0836392
Agca	0.0828191
Salemme	0.0828095
"Juan Miguel"	0.0822167
Echegaray	0.0817161
Gauthe	0.0816228
Hage	0.0806598
Mattysse	0.0805332
Hazelwood	0.0801389
Gritz	0.0797716
Schweitzer	0.0787195
Mudge	0.078672
Skakel	0.077903
Dokmanovic	0.0772456
Ickes	0.0772054
Mitnick	0.0768704
Sweeting	0.0764305
Hofer	0.0762103
Mease	0.0760718
Faget	0.0759064
Lugo	0.0755352
Qureshi	0.0754781
"Jack Kevorkian"	0.0754464
"Al Fayed"	0.0752756
Sheppard	0.0747783
Soliah	0.0747489
Lipstadt	0.0746829
Kodikian	0.0743551
Hamid	0.074026
Kimes	0.0739868
Kimeses	0.0739445
Ntakirutimana	0.0736176
co-defendant	0.0734379
LOUIMA	0.0732185
Kinkel	0.073107
Malan	0.0729424
KEVORKIAN	0.0729176
Nathaniel	0.0728044
Elhage	0.07246
Adair	0.0722554
Sheinbein	0.0722375
Druckenmiller	0.0716525
Ritter	0.0715745
Haouari	0.0715438
Coia	0.0715124
Matasareanu	0.071468
Schiffer	0.0711747
Baumhammers	0.0711302
Shayler	0.0707857
Garza	0.0707311
Tomba	0.070348
McDougal	0.0701966
Kagalovsky	0.0698197
Coe	0.0696509
Hensley	0.0695817
Faulder	0.0693396
Trie	0.068977
Capano	0.0687385
Berenson	0.0686396
Kiareldeen	0.0685619
Callaghan	0.06848
Donahue	0.0676928
Slaney	0.0676834
peeler	0.0670215
Piggie	0.0666581
Conley	0.066211
Ershad	0.0661846
Shulman	0.066072
Deri	0.0660155
Ashby	0.0651101
Harrelson	0.0651013
Imperatori	0.0650995
Lacresha	0.0650674
"Imelda Marcos"	0.0646523
Zarkin	0.0643812
Stayner	0.0642537
Kaczynski	0.0642421
"Louise Woodward"	0.0641117
Abu-Jamal	0.0641006
Mehmet	0.0639765
"Patsy Ramsey"	0.0639649
Cisneros	0.0639507
McVeigh	0.0639082
Singson	0.0639001
Dodik	0.0635306
Fagan	0.0634048
Steele	0.0633859
Hirschfeld	0.0631286
Soares	0.0631015
Advani	0.0629689
Espinoza	0.0628462
Quackenbush	0.0628201
Biskind	0.0626171
Martorano	0.0626108
Siripongs	0.0625168
Ng	0.0622937
Maharaj	0.0622695
Hsia	0.0619888
D'Amico	0.0618076
Swango	0.061728
Cayugas	0.0613302
Robison	0.061016
co-defendants	0.0610127
Slatkin	0.0608903
Lawson	0.0603504
Bove	0.0600049
Romanowski	0.0599834
Akayesu	0.0598263
Knapp	0.0596032
Rashid	0.0596032
Sakic	0.0593385
Garofalo	0.0592167
Esposito	0.0590272
Velayati	0.0589621
"Raul Salinas"	0.0589214
Noriega	0.0586942
Hoke	0.0584949
Lundy	0.0584793
Paciello	0.0583746
Howell	0.0583445
McDougals	0.0582623
"Ray Lewis"	0.0581361
Ramsey	0.0581172
Woodward	0.0578184
looper	0.0577992
Lombardi	0.0577025
"Laurent Fabius"	0.0576767
Vasquez	0.0576522
Ramseys	0.0576461
Kalejs	0.0576432
Kehoe	0.0575061
Nasrin	0.0573867
Sorensen	0.0573501
Luong	0.0570034
Mackey	0.0569489
Leventhal	0.0568977
Gotti	0.05688
McGill	0.0568388
Kovacevic	0.0567962
"Vincent Foster"	0.056667
Zamora	0.05662
Karbaschi	0.0562801
Cheung	0.0560762
"De Klerk"	0.0560406
furrow	0.0557058
Kesri	0.0555098
))
(Bruguera (desc 1936.31) (sims
Ulihrach	0.225072
Berasategui	0.222659
Testud	0.212851
Clavet	0.204112
Stoltenberg	0.193921
"Arnaud Di Pasquale"	0.19296
"Sergi Bruguera"	0.192703
"Carlos Moya"	0.190755
Prinosil	0.18618
Raoux	0.18253
Enqvist	0.182449
"Felix Mantilla"	0.181694
Kuerten	0.180916
"Carlos Costa"	0.176803
Dosedel	0.172071
Halard-Decugis	0.171878
"American Chanda Rubin"	0.170966
Gustafsson	0.170306
"Gustavo Kuerten"	0.167497
"Arantxa Sanchez Vicario"	0.167255
Majoli	0.165853
"Anke Huber"	0.164088
"Alberto Costa"	0.163615
Zvereva	0.163366
Mantilla	0.160325
Medvedev	0.159964
Moya	0.159286
"Magdalena Maleeva"	0.159171
"Sarah Pitkowski"	0.159087
"Javier Sanchez"	0.15868
"Alberto Berasategui"	0.158502
"Brenda Schultz-McCarthy"	0.156808
"Florencia Labat"	0.1568
"Albert Portas"	0.156078
"Jennifer Capriati"	0.156035
"Richard Krajicek"	0.154642
"Andrei Pavel"	0.154632
"Asa Carlsson"	0.154244
Corretja	0.152776
"Chris Woodruff"	0.152542
"Albert Costa"	0.15225
"Conchita Martinez"	0.15198
"Joannette Kruger"	0.151746
"Tommy Haas"	0.151519
"Patrick Rafter"	0.151198
Dragomir	0.149554
"Andrew Ilie"	0.149487
Coetzer	0.149302
Kafelnikov	0.149301
Mauresmo	0.149053
"Arantxa Sanchez-Vicario"	0.149042
"Sabine Appelmans"	0.148339
"Yevgeny Kafelnikov"	0.147842
"Roger Federer"	0.147148
Rosset	0.146929
"Petr Korda"	0.146841
Siemerink	0.146775
Pioline	0.14652
"Vincent Spadea"	0.145968
"Van Roost"	0.145915
"Thomas Muster"	0.145755
"Marc Rosset"	0.145563
Schnyder	0.145538
"Iva Majoli"	0.145283
"Gianluca Pozzi"	0.144235
"Mary Pierce"	0.144109
"Alex Corretja"	0.143958
"Thomas Enqvist"	0.143886
"Jerome Golmard"	0.143554
"Scott Draper"	0.143281
"Andreas Vinciguerra"	0.143255
"Fabrice Santoro"	0.143251
Habsudova	0.142834
Haarhuis	0.142809
"Nathalie Dechy"	0.142584
"Sebastien Grosjean"	0.142576
"Michael Chang"	0.142546
"Francisco Clavet"	0.142413
Sanchez-Vicario	0.142262
Spadea	0.142161
"Karim Alami"	0.142068
"Stefan Edberg"	0.141143
"Ai Sugiyama"	0.140896
"Magnus Norman"	0.14087
"Andres Gomez"	0.140483
Ferreira	0.140373
Bjorkman	0.140015
"Jonas Bjorkman"	0.139829
"MaliVai Washington"	0.139376
Gimelstob	0.138782
"Irina Spirlea"	0.138438
"Juan Carlos Ferrero"	0.137949
Korda	0.13789
"Kenneth Carlsen"	0.137426
Krajicek	0.13706
"Peter Rasmussen"	0.136293
"Australian Mark Philippoussis"	0.136155
Sautin	0.135799
"Nathalie Tauziat"	0.135736
"Tatiana Panova"	0.135561
"Goran Ivanisevic"	0.135517
Lapentti	0.135311
Ivanisevic	0.13522
"Richard Fromberg"	0.134656
rios	0.134613
"Christian Ruud"	0.134588
"Arnaud Clement"	0.134543
Huber	0.134193
Edberg	0.133367
Henman	0.133206
"Hernan Gumy"	0.133023
"Boris Becker"	0.132887
"Barbara Paulus"	0.132709
"Mark Woodforde"	0.13261
Santoro	0.132593
"Bohdan Ulihrach"	0.132406
Meligeni	0.131753
"Hicham Arazi"	0.131723
"Amy Frazier"	0.131509
"Cedric Pioline"	0.130883
"Nicole Pratt"	0.130314
Seles	0.130151
"Julian Alonso"	0.129792
"Jason Stoltenberg"	0.129745
"Wayne Ferreira"	0.129722
Capriati	0.129501
Safin	0.12945
Nacional	0.129347
"Daniel Nestor"	0.129182
"Mariano Zabaleta"	0.129018
"Michael Stich"	0.128768
"Monica Seles"	0.128251
"Andrei Medvedev"	0.127827
"Jana Novotna"	0.127542
Sugiyama	0.127331
"Mariano Puerta"	0.127231
Nicol	0.126852
"Guillaume Raoux"	0.126851
"Patty Schnyder"	0.126443
Kiefer	0.126224
"Pat Rafter"	0.126178
Philippoussis	0.126133
"Russian Yevgeny Kafelnikov"	0.125867
Lucic	0.125736
"Sanchez Vicario"	0.125144
"Paul Tergat"	0.12461
"Serena Williams"	0.124272
"Kimiko Date"	0.124184
"Marat Safin"	0.124168
"Sargis Sargsian"	0.124069
"Tim Henman"	0.123688
Costa	0.123608
"Franco Squillari"	0.123312
Damm	0.123213
"Ji Xinpeng"	0.122851
Swardt	0.122449
"Barbara Rittner"	0.122427
Tauziat	0.122343
"Wang Nan"	0.121817
"Andre Agassi"	0.121443
"Sjeng Schalken"	0.121293
Shenhua	0.121078
"Barbara Schwartz"	0.12065
"Mary Joe Fernandez"	0.120529
"Magnus Gustafsson"	0.11994
"Sandrine Testud"	0.119713
Penarol	0.119552
"Elena Likhovtseva"	0.119221
"HANK KUEHNE"	0.119078
"Younes El Aynaoui"	0.118888
Novotna	0.118772
Tanui	0.118712
"Gil Morgan"	0.118644
"Jan-Michael Gambill"	0.118156
"Paul Haarhuis"	0.118098
"Greg Rusedski"	0.117766
"Naoko Sawamatsu"	0.117698
"Silvia Farina"	0.117611
Likhovtseva	0.117394
"Arnaud Boetsch"	0.117386
"Rita Grande"	0.117165
Ilie	0.11676
"Todd Martin"	0.116679
"Rika Hiraki"	0.116572
"Filip Dewulf"	0.116369
"Steffi Graf"	0.116168
"Buster Douglas"	0.116126
Schett	0.116053
"Richey Reneberg"	0.115975
"Venus Williams"	0.11576
"Todd Woodbridge"	0.115551
"Jean-Philippe Gatien"	0.115364
Lareau	0.114891
Rusedski	0.114877
"Mark Philippoussis"	0.114678
"Zhang Ning"	0.114551
"Miriam Oremans"	0.114419
"Judith Wiesner"	0.114401
"Marcelo Rios"	0.114199
"Amelie Mauresmo"	0.11411
Kournikova	0.113886
"David Prinosil"	0.113662
"Miguel Indurain"	0.113549
"Nicolas Kiefer"	0.11349
Arazi	0.11332
"Kim Clijsters"	0.113164
"Adrian Voinea"	0.113127
"Barbara Schett"	0.113052
"Mahesh Bhupathi"	0.112997
"Jansher Khan"	0.112886
"Fung Permadi"	0.112836
"Rodney Eyles"	0.112836
"Natasha Zvereva"	0.112725
"Shanghai Shenhua"	0.11271
"Jiri Novak"	0.112613
"American Michael Chang"	0.112609
"Jim Courier"	0.111546
Kucera	0.111509
"Dalian Wanda"	0.111291
"Mark Knowles"	0.1111
"Ye Zhaoying"	0.111089
Brondby	0.11105
Chang	0.110519
Klim	0.110077
"Rainer Schuttler"	0.109853
"Julie Halard-Decugis"	0.10985
"Chicago Fire"	0.10982
Haas	0.109725
"Dong Jiong"	0.109297
"Anne Kremer"	0.108517
"Grant Stafford"	0.108052
Larsson	0.107943
Agassi	0.107616
"Gong Zhichao"	0.107493
"Ivan Lendl"	0.107361
"Neville Godwin"	0.106992
"River Plate"	0.106982
"Velez Sarsfield"	0.106972
Kjus	0.106955
"Alex O'Brien"	0.106933
Frenchwoman	0.106287
"Jorgen Persson"	0.106247
"Leander Paes"	0.106145
"Wang Chen"	0.105689
Olympiakos	0.105689
"El Guerrouj"	0.105394
"Dominique Van Roost"	0.105293
"American Andre Agassi"	0.105185
"Darrell Waltrip"	0.10512
"Lleyton Hewitt"	0.104807
"Andrea Gaudenzi"	0.104671
"Els Callens"	0.104586
"Bradford City"	0.104544
"Camilla Martin"	0.104447
"Karol Kucera"	0.104396
"Alexandra Fusai"	0.104392
"Tara Snyder"	0.104312
"Ramon Delgado"	0.104257
"Ong Ewe Hock"	0.104113
"Tamarine Tanasugarn"	0.104073
Woodbridge	0.103755
"Henrieta Nagyova"	0.103529
"Kimberly Po"	0.103384
"Bjorn Borg"	0.103369
"Dominik Hrbaty"	0.103214
"Answer Lively"	0.10306
Dragila	0.103019
Kroslak	0.10294
Godina	0.102935
"Byron Black"	0.102914
Boardman	0.102539
"Jose Maria Olazabal"	0.102071
"Paul Goldstein"	0.102061
"Chris Boardman"	0.101975
"Daniel Komen"	0.101887
"Brett Steven"	0.101775
"Li Fang"	0.101574
Stolle	0.101517
Pavel	0.100934
"Jeff Tarango"	0.100924
"Lisa Raymond"	0.100917
"Alex Zanardi"	0.100729
"Nicolas Lapentti"	0.10048
Zamalek	0.100439
"Xavier Malisse"	0.100101
"Mikael Tillstrom"	0.100101
"Marcelo Filippini"	0.100063
"Rashid Sidek"	0.100016
))
(Bruijn (desc 1055.87) (sims
"Inge de Bruijn"	0.208525
"Gianni Romme"	0.182683
Hoogenband	0.148263
"Queen Beatrix"	0.143625
Heyns	0.134716
"Rintje Ritsma"	0.12709
"Jeremy Wotherspoon"	0.122282
Swardt	0.121746
"Kristie Boogert"	0.114477
"Gary Hall"	0.111067
Loroupe	0.10782
"Wim Duisenberg"	0.107638
"Sandra Voelker"	0.10713
Jager	0.105095
Siemerink	0.100935
Klim	0.0995167
"Hiroyasu Shimizu"	0.0980491
"John Van Lottum"	0.0974104
"Penny Heyns"	0.0964767
"Miriam Oremans"	0.0947092
Biffle	0.0940134
Villar	0.093971
Krayzelburg	0.0935883
"Regina Jacobs"	0.0935803
Serna	0.093446
"Mia Audina"	0.0922774
Mayweather	0.0902611
"Maria Mutola"	0.0897325
"Sjeng Schalken"	0.0893375
Thorpe	0.0888665
Barros	0.08868
Carrera	0.0885766
"Denis Pankratov"	0.0881943
Jong	0.0875544
"Brenda Schultz-McCarthy"	0.0866073
"Michael Klim"	0.0844129
"Dennis van Scheppingen"	0.0841341
"El Guerrouj"	0.0833324
Venecia	0.0831825
Grahame	0.0816292
"Claudia Poll"	0.0811471
"Jenny Thompson"	0.080894
Tanaka	0.0797424
"Martina Moravcova"	0.079405
Mello	0.079292
"Stacy Dragila"	0.0783374
Crocker	0.0782283
Vera	0.0781733
"Scarlet Knights"	0.0772861
"Tom Dolan"	0.0761628
Deportivo	0.0758694
"market average"	0.0757367
Hickman	0.0751046
"Paul Haarhuis"	0.0749355
"Susie O'Neill"	0.0749015
Almeida	0.074042
"Lenny Krayzelburg"	0.0740212
"Els Callens"	0.0738772
"Le Jingyi"	0.073363
"New York-New Jersey MetroStars"	0.0732352
Berasategui	0.0729978
Susanti	0.0729254
"Ajax Amsterdam"	0.0729021
"Chen Hua"	0.0728656
"Li Jiajun"	0.0727663
Hyman	0.0726264
Ville	0.0726243
Heredia	0.0721967
Borbon	0.0721324
Kipketer	0.0720064
"Paul Tergat"	0.0713853
"De Bruin"	0.0713155
Hartwig	0.0712689
Guerra	0.0709855
Julio	0.0708136
pompadour	0.0707473
"Golden Hurricane"	0.0705553
"Economic Affairs"	0.0696708
"Christine Arron"	0.0693155
Szabo	0.068954
Fech	0.068917
Hoya	0.068394
FloJo	0.0682119
"Michael Von Gruenigen"	0.0678668
"Ian Thorpe"	0.0678471
Boer	0.0678185
Casas	0.0677902
espana	0.067658
"Richard Krajicek"	0.0673581
Nicol	0.0667323
"Jeff Hartwig"	0.0664945
Eindhoven	0.0663739
"Wim Kok"	0.0663387
Palma	0.0659854
Brasil	0.0659465
Dosedel	0.0657733
Soto	0.0656926
Oliveira	0.0656218
"Li Xuemei"	0.0653267
"Gary Hall Jr."	0.0651008
Oro	0.0648668
Macoris	0.0646618
Okada	0.0646554
"Wu Yanyan"	0.0644943
"Fatuma Roba"	0.0644725
corinthian	0.0640903
"La Salle"	0.0638055
Triomphe	0.0636378
Guerrouj	0.063613
"Grant Hackett"	0.0635708
Merida	0.0635687
Mallorca	0.063481
"Wang Junxia"	0.0629828
siecle	0.0627697
Luca	0.0625011
Damm	0.0624548
UNT	0.0624048
"Alexander Popov"	0.0620692
"Irina Privalova"	0.0619321
"Bruny Surin"	0.0617707
Zapata	0.0617638
Klerk	0.0615907
Pincay	0.0615839
Zamora	0.061525
OCA	0.0614918
Beauvoir	0.0614795
"Irina Slutskaya"	0.0614026
mano	0.0612325
"Alexei Nemov"	0.0610606
Prinosil	0.0606677
Thibault	0.0605236
Samuelson	0.0604635
Gebrselassie	0.0603917
Banda	0.0603488
"Amy van Dyken"	0.060188
Cristina	0.0598273
"Svetlana Masterkova"	0.0596502
"Fiona May"	0.0594432
"Monetary Policy Committee"	0.0591598
"Gail Devers"	0.0590744
"Mark Crear"	0.0590202
Lapentti	0.0589549
"Minas Gerais"	0.0589066
"Wang Yifu"	0.0586686
"South African Amanda Coetzer"	0.0584587
Popov	0.0584184
Potvin	0.0583445
"Deon Hemmings"	0.0583412
"Griffith Joyner"	0.0581524
"Mario Cipollini"	0.0581126
Renteria	0.0578738
Hendrawan	0.05782
"Dave Campo"	0.0577794
Banzer	0.0574381
"Hicham El Guerrouj"	0.0573931
canard	0.0573529
"Elena Berezhnaya"	0.0573439
"Maria Butyrskaya"	0.0573075
Sautin	0.0571659
"Frankie Fredericks"	0.0568295
Saint-Exupery	0.056787
Scelzi	0.0566613
Jayasinghe	0.0565934
"San Cristobal"	0.056546
Seizinger	0.0561195
"Felix Savon"	0.056095
K-State	0.0559599
"Renate Goetschl"	0.0556975
"Qingdao Hainiu"	0.0554421
Vina	0.0553076
Burgos	0.055276
AEK	0.0550502
Frenchwoman	0.0550358
"Oksana Baiul"	0.055035
Estudiantes	0.0550241
Dragila	0.0544676
"Chen Yan"	0.0541631
Avila	0.0541119
Glanville	0.0539654
"Lester Archambeau"	0.0538752
"Sonia O'Sullivan"	0.053778
"Laffit Pincay"	0.0537116
spikers	0.0536915
Chardin	0.0536094
Pippig	0.0535967
"Dara Torres"	0.0531069
Eldred	0.0529706
"Khalid Khannouchi"	0.052951
"Deng Yaping"	0.0529182
"Gunda Niemann-Stirnemann"	0.0529145
Liberace	0.0528885
velodrome	0.0528648
"Oksana Kazakova"	0.052834
"Liu Limin"	0.0525322
"Koji Ito"	0.0524438
Clavet	0.0524281
Schnyder	0.0523925
"Kieren Perkins"	0.0522864
Gallo	0.0522235
Ervin	0.0521145
))
(bruin (desc 57596.1) (sims
wildcat	0.20493
husky	0.184414
sabre	0.183773
UCLA	0.182588
Trojan	0.180086
ranger	0.174669
Lakers	0.169368
oiler	0.167021
Longhorn	0.166595
devil	0.164504
cowboy	0.163203
Knicks	0.161678
cardinal	0.160998
buckeye	0.160622
Celtics	0.158575
Eagles	0.158575
Gators	0.158566
Seminoles	0.158475
pacer	0.158227
bronco	0.156017
islander	0.154801
bulldog	0.154404
Canuck	0.154008
"Red Sox"	0.152617
dodger	0.150487
Giants	0.150065
Yankee	0.149905
falcon	0.149663
flyer	0.149413
matador	0.148551
ASTROS	0.148515
"Red Wings"	0.147845
coyote	0.147521
Seahawks	0.146461
Canadiens	0.146268
Sonics	0.145861
BEARS	0.145111
"Maple Leafs"	0.144476
patriot	0.144413
panther	0.144212
Mets	0.141479
"blue devil"	0.141462
mariner	0.141382
brave	0.140797
clipper	0.139791
Cornhusker	0.139762
USC	0.137933
ram	0.135473
Padre	0.134298
Boilermakers	0.134287
MetroStars	0.134251
"Los Angeles Lakers"	0.133428
"Tampa Bay"	0.131389
Orioles	0.131345
Sox	0.130854
packer	0.130164
Viking	0.129769
Aggies	0.129536
"Ohio State"	0.128697
"Florida State"	0.127802
Vols	0.127595
Spartan	0.126241
Redskin	0.126037
"Nittany Lions"	0.125217
spur	0.124953
team	0.123623
"Tar Heels"	0.123609
"White Sox"	0.122751
"New York Knicks"	0.122664
"Michigan State"	0.122378
Blackhawks	0.121747
bull	0.120968
cub	0.120882
"Penn State"	0.120542
Dallas	0.120146
sixer	0.120046
"blue jay"	0.119797
hawk	0.119606
diamondback	0.119465
"Kansas State"	0.118576
Purdue	0.118572
maverick	0.118313
UConn	0.117552
badger	0.117399
Hornet	0.117323
dolphin	0.117238
Sooners	0.117034
penguin	0.116916
"Dallas Cowboys"	0.116727
Stanford	0.116636
duck	0.115535
raider	0.114677
Tennessee	0.114128
"Buffalo Sabres"	0.114077
Detroit	0.11396
"Boston Bruins"	0.113779
angel	0.113218
"New York Rangers"	0.112768
"Notre Dame"	0.112761
piston	0.11266
ASU	0.112524
Jayhawks	0.112349
"Chicago Bears"	0.112143
Hokies	0.111647
"Chicago Bulls"	0.11137
Raptor	0.111302
Steelers	0.111246
Phillies	0.111217
charger	0.1111
A's	0.110565
blazer	0.110197
tiger	0.109652
"Dallas Stars"	0.10963
gamecock	0.109121
"Minnesota Vikings"	0.108915
Wolverine	0.108779
"Detroit Red Wings"	0.108743
Pepperdine	0.108432
Bengals	0.108058
"Red Storm"	0.107477
marlin	0.107442
Timberwolves	0.106409
grizzly	0.106387
Hawkeyes	0.105914
Rutgers	0.105902
"Houston Rockets"	0.105189
"New York Mets"	0.105161
king	0.104993
colt	0.104737
titan	0.104705
"Indiana Pacers"	0.104429
LSU	0.104391
Carolina	0.104123
"D.C. United"	0.104024
Sparks	0.103725
"Iowa State"	0.103576
Razorback	0.103513
"San Antonio Spurs"	0.103121
"Arizona State"	0.102919
"Montreal Canadiens"	0.102883
Minutemen	0.102825
Boston	0.102805
"Virginia Tech"	0.102654
Nebraska	0.102648
cavalier	0.102547
Toronto	0.102255
Duke	0.102201
ANAHEIM	0.101809
Miami	0.1018
Royals	0.101691
cougar	0.101687
Stars	0.101667
"New York Yankees"	0.10165
Buffalo	0.101595
"San Francisco @@ers"	0.101462
"Miami Heat"	0.101451
"Mighty Ducks"	0.101101
Raven	0.100932
"Philadelphia Flyers"	0.100654
"Los Angeles Kings"	0.100433
Cincinnati	0.100327
CSUN	0.100159
bearcat	0.0998964
"St. Louis Cardinals"	0.0996848
"Florida Panthers"	0.0996052
pirate	0.0989925
thrasher	0.0987873
Minnesota	0.0984811
terrapin	0.098417
Jaguar	0.0981904
"Edmonton Oilers"	0.0980618
"St. Louis Rams"	0.0980581
avalanche	0.0979448
"Washington Redskins"	0.0979203
galaxy	0.0978673
"Mississippi State"	0.0978399
"Atlanta Braves"	0.0977317
Colorado	0.0975528
"Denver Broncos"	0.0968213
Phoenix	0.096741
Bucs	0.0964412
Denver	0.0961056
"Los Angeles Dodgers"	0.096051
"St. Louis"	0.095932
"New York Jets"	0.0958861
Edmonton	0.0955877
"Buffalo Bills"	0.0954591
"Boston Red Sox"	0.095381
"Crimson Tide"	0.0952112
Arizona	0.0950918
Indian	0.0948944
"Trail Blazers"	0.0947375
jet	0.0946321
"Miami Dolphins"	0.0945101
"Washington Capitals"	0.0940144
"Cleveland Indians"	0.093891
Cleveland	0.0938394
"Portland Trail Blazers"	0.0937762
"Green Bay"	0.0936727
"New York Giants"	0.0932926
))
(bruise (desc 21446.7) (sims
contusion	0.285249
laceration	0.272557
abrasion	0.257114
sprain	0.249676
fracture	0.233357
wound	0.213529
scar	0.192792
burn	0.181817
Gash	0.178039
injury	0.175312
blister	0.158921
concussion	0.158136
sore	0.156901
tendinitis	0.154111
welt	0.153105
soreness	0.152661
ligament	0.150361
"black eye"	0.141313
tendon	0.13618
scrape	0.135269
swelling	0.131162
ankle	0.126317
bone	0.123777
bump	0.122833
muscle	0.118879
rib	0.117133
trauma	0.11507
groin	0.114957
abscess	0.114292
hamstring	0.111687
tattoo	0.111486
scratch	0.111447
bandage	0.11117
collarbone	0.109809
wrist	0.109317
ailment	0.107715
strain	0.107514
inflammation	0.105912
cartilage	0.105714
cramp	0.105327
knee	0.104912
scab	0.103761
pelvis	0.103248
stiffness	0.102849
pain	0.101768
elbow	0.100861
tightness	0.0990209
spasm	0.0988553
inhalation	0.0963191
stitch	0.096301
toe	0.0936807
"ice pack"	0.0934479
ulcer	0.0917276
hip	0.0904019
lump	0.0883521
hypothermia	0.0879376
hemorrhage	0.087489
shoulder	0.0851465
surgery	0.0846748
infection	0.0841701
thumb	0.0833496
"heat exhaustion"	0.0825052
lesion	0.0824105
headache	0.0822276
nose	0.0821369
irritation	0.0819348
twinge	0.0814758
ache	0.081319
"back pain"	0.0800981
forearm	0.0799562
nerve	0.0792281
thigh	0.078555
neck	0.0785357
arthritis	0.0780451
vertebra	0.0767214
skin	0.0759521
cheekbone	0.0758165
finger	0.0757985
discomfort	0.0750845
rash	0.0746448
splint	0.0739904
hair	0.0736551
quadriceps	0.073267
leg	0.0731626
hernia	0.0730442
fatigue	0.072537
sternum	0.0718743
"leg bone"	0.0718423
lung	0.0715233
jaw	0.0714315
pneumonia	0.0712973
"index finger"	0.0704764
Foot	0.0702316
smudge	0.0701404
flu	0.0696832
cyst	0.0696789
symptom	0.069638
fever	0.0693774
wart	0.0688616
pimple	0.0681012
syndrome	0.0678771
gunshot	0.0676244
cough	0.0674578
"blood clot"	0.0674516
sunburn	0.0673143
"eye socket"	0.0666406
"chest pain"	0.0663865
femur	0.066382
paralysis	0.0662992
bite	0.0662184
blemish	0.0651535
abnormality	0.0650482
nausea	0.0645436
numbness	0.0640824
flexor	0.064004
deformity	0.0637496
"wear and tear"	0.0631683
"bullet hole"	0.0629786
"ring finger"	0.0618628
skull	0.0616988
stomachache	0.0614505
"sore throat"	0.0613627
freckle	0.0613158
"right hand"	0.0613114
illness	0.0612839
blood	0.0612695
teeth	0.0610839
"food poisoning"	0.0609994
tissue	0.0609575
vertebrae	0.0607402
dislocation	0.0603517
mole	0.0602623
cold	0.059216
disorder	0.0591936
brace	0.0591262
calf	0.0590272
incision	0.0589664
x-ray	0.0588715
"little finger"	0.0586605
"heart condition"	0.0586342
dehydration	0.0585453
wrinkle	0.0583242
limb	0.0578349
"memory loss"	0.057788
discoloration	0.0576101
PIERCINGS	0.0573041
"heart attack"	0.0570655
bronchitis	0.0568824
fibula	0.0568205
stubble	0.0568014
whiplash	0.0561528
"health problem"	0.0560979
stain	0.0559301
hiccup	0.0557887
hangover	0.0557738
knot	0.0553394
knuckle	0.0552809
tumor	0.0551416
jolt	0.0548893
imperfection	0.0548287
claw	0.0546565
heartbeat	0.0546544
dent	0.0546138
crack	0.0544076
frostbite	0.0543209
kneecap	0.0542348
band-aid	0.0541829
"left hand"	0.0539774
facial	0.053441
lip	0.0529182
"emotional distress"	0.0528796
"financial loss"	0.052387
"middle finger"	0.0523598
Tooth	0.0522812
cuff	0.0519794
kidney	0.0519033
tenderness	0.0516347
Chin	0.0515858
ACL	0.0513798
labrum	0.0512042
dimple	0.0499524
breast	0.0499424
joint	0.0499077
abdomen	0.0498654
Stinger	0.0497969
acne	0.0496385
"brain tumor"	0.0493846
ear	0.0493518
grin	0.0493146
defect	0.0491651
cheek	0.0489452
"skin cancer"	0.0487592
impairment	0.0486582
"colon cancer"	0.0486231
"skin rash"	0.0484633
"cerebral palsy"	0.0484308
chest	0.0483989
MRI	0.0482344
cancer	0.0482028
sickness	0.0480757
))
(bruiser (desc 1487.17) (sims
tarpon	0.0762002
Irishman	0.0741102
battler	0.0702303
"Mike Vernon"	0.0696679
stinker	0.0666699
knucklehead	0.0665134
"transport ship"	0.0658894
"Steve Shields"	0.0644431
brute	0.0636213
Sandra	0.0635982
bloke	0.0622606
"hole in the ground"	0.0621233
"TV star"	0.0620631
Chevys	0.0603915
Speedster	0.0603241
punchline	0.05856
Troussier	0.058511
turnoff	0.0581054
chessboard	0.05797
"robbery suspect"	0.0576911
Ribbeck	0.0572958
"good person"	0.0572689
"mushroom cloud"	0.056715
"Bengal tiger"	0.0565869
"toy retailer"	0.0559004
supplicant	0.055231
iconoclast	0.0551901
comedown	0.0550807
Heinrichs	0.0549094
"traveling salesman"	0.0548156
"brown trout"	0.0543866
"sea captain"	0.0539254
chipmakers	0.0536692
Dynamo	0.0534349
craftsman	0.0532601
rascal	0.0530981
"Steve Beuerlein"	0.0530383
banger	0.0530235
puncher	0.0528763
joker	0.0520158
no-brainer	0.051794
swinger	0.0511434
"Trevor Kidd"	0.0508835
gringo	0.0504711
switch-hitter	0.0504322
warhorse	0.0503918
boar	0.0502285
"track star"	0.0500612
dude	0.0497689
"pain in the neck"	0.0497423
pessimist	0.0496861
conciliator	0.0495757
underachiever	0.0492389
gusher	0.049077
"big leaguer"	0.0490358
"hard worker"	0.0489428
"eye doctor"	0.0486661
toasty	0.0486129
bombshell	0.0485424
hunk	0.0485099
stapler	0.0484219
"film star"	0.0483887
redhead	0.0483309
vamp	0.0482111
"heavy hitter"	0.0479112
bumpkin	0.0477236
MC	0.0475431
misperception	0.0475388
Sabonis	0.0475109
wimp	0.0474596
talker	0.0473833
Beehive	0.0473762
motley	0.0471084
"tough guy"	0.0470919
lowlife	0.0470621
"Titan A.E."	0.0470256
paraplegic	0.0469823
Langham	0.046878
Penders	0.0468383
crapshoot	0.0467718
"character actor"	0.0467401
Harrell	0.046656
"guessing game"	0.0465349
metropolises	0.0462885
"hundred million dollars"	0.0461466
crock	0.0460676
skydiver	0.0460001
clunker	0.0459924
fella	0.0459655
transnationals	0.0459505
bogeyman	0.0458707
"telephone book"	0.0457252
maniac	0.0456447
Sumaye	0.045592
dachshund	0.045559
"Ocean Spray"	0.045514
"fish tank"	0.0455073
corkscrew	0.0454946
guidepost	0.0453701
Trent	0.0453405
showman	0.0453401
"discount chain"	0.0453093
Gator	0.0452018
Godfrey	0.0451327
"Jose Jimenez"	0.045131
baboon	0.0450535
enlistee	0.0450495
sundial	0.0449684
sinkhole	0.0447646
rustler	0.0446631
Trailblazer	0.0446615
dervish	0.0446485
firebrand	0.0445764
mutt	0.0445645
lifter	0.0445627
"bowling ball"	0.0445171
malcontent	0.0443672
Passarella	0.0442222
"Houston Oilers"	0.0441768
"trust company"	0.0441477
noggin	0.0441374
Bostonian	0.0440848
"jigsaw puzzle"	0.0440511
Taffarel	0.0439307
"black bear"	0.0438014
middleweight	0.043777
"ball of fire"	0.0437235
swingman	0.0436033
"Southern Democrats"	0.0435528
cannonball	0.0435081
"monkey wrench"	0.0434891
Brunner	0.0434774
terrier	0.0434237
"film producer"	0.0433335
panhandler	0.0433281
hairdresser	0.0432248
"chess player"	0.0430766
"house guest"	0.0430466
"good story"	0.0429585
"mainframe computer"	0.042922
"chairman emeritus"	0.0429166
psychopath	0.0428443
chaser	0.042829
"knockout punch"	0.0428008
temptress	0.0427761
whiner	0.0427293
hubcap	0.0426914
Cordero	0.0426385
Pillars	0.0425934
Najera	0.0425477
Tennessean	0.0424837
nonentity	0.0424283
interloper	0.0424224
screamer	0.0422181
portraitist	0.0421799
"A.P Indy"	0.0421401
farmhand	0.0421233
crazies	0.042066
perfectionist	0.0420353
hammy	0.0419338
laggard	0.0418187
lad	0.0417957
righty	0.0416689
"risk taker"	0.0416399
REITs	0.0415447
spinnaker	0.0415139
autocrat	0.0414918
curmudgeon	0.0414069
spinster	0.0413766
Smirnov	0.0413073
"TV audience"	0.0412543
grinder	0.0412118
miscreant	0.041174
schemer	0.0410975
"summer house"	0.0410563
"bon vivant"	0.0410432
stunner	0.0410233
"ocean liner"	0.0409957
wrecker	0.0409383
megaphone	0.0408474
chambermaid	0.0408088
emitter	0.0407081
Streetcar	0.0406065
QB	0.0405106
"junior middleweight"	0.0404902
Kurd	0.0404777
humanist	0.040409
hauler	0.0403774
experimenter	0.0403591
"Border collie"	0.0402656
"Robin Hood"	0.0402332
varietals	0.0402128
grabber	0.0402051
Hauser	0.0401365
Hummer	0.0401297
non-members	0.040128
"particle accelerator"	0.0400999
"collective farm"	0.0400712
bellhop	0.0400631
overachiever	0.040033
))
(brunch (desc 11016) (sims
dinner	0.158634
breakfast	0.155237
lunch	0.142893
"afternoon tea"	0.142411
luncheon	0.134937
supper	0.12876
"dinner party"	0.119448
buffet	0.11539
"cocktail party"	0.10765
picnic	0.105738
banquet	0.104456
meal	0.0980605
barbecue	0.0930593
reception	0.0864922
dessert	0.0826439
"open house"	0.0810171
tasting	0.0779604
gala	0.0750309
get-togethers	0.0733247
potluck	0.0730496
soiree	0.0721524
fund-raiser	0.0720982
feast	0.0711663
concert	0.0695837
snack	0.0686337
matinee	0.0675984
gathering	0.0675656
cocktail	0.0674191
appetizer	0.064061
festivity	0.0629532
"prayer service"	0.0626425
powwow	0.0606811
"tea party"	0.0603477
menu	0.0598451
refreshment	0.0593097
sandwich	0.0589011
cookout	0.0586589
coffee	0.0578514
bash	0.0577987
"main course"	0.0571282
lodging	0.0570978
"church service"	0.0563959
lecture	0.0556127
"wedding ceremony"	0.0551395
wedding	0.0544346
reunion	0.0536733
toast	0.0533003
seminar	0.0523807
"social event"	0.0507864
"round of golf"	0.0505119
tea	0.0502966
sightseeing	0.0501265
pie	0.0500093
sushi	0.0492698
screening	0.049179
parley	0.0490248
vegetarian	0.0489633
salad	0.0484901
massage	0.0480923
"dinner table"	0.0480603
"theatrical performance"	0.048024
"basketball game"	0.0476681
"press conference"	0.0476508
dining	0.0475696
entree	0.0473201
extravaganza	0.0472065
fundraiser	0.0470605
vigil	0.0470255
"rock concert"	0.0467536
gift-giving	0.046638
gig	0.046429
"benefit concert"	0.0462974
"birthday cake"	0.0460913
Seder	0.046071
cuisine	0.0458889
"art exhibition"	0.0458297
excursion	0.0456771
"prayer meeting"	0.0456717
firework	0.0456576
cooking	0.0455391
"religious service"	0.0454452
"get together"	0.045299
enchilada	0.0452174
quiche	0.0448658
"side dish"	0.0448478
"town meeting"	0.0442056
"jam session"	0.0434758
viewing	0.0434742
rainout	0.0433804
cake	0.0432655
"wedding party"	0.0432421
low-fat	0.0424709
preview	0.0423235
doubleheader	0.0422456
"wedding reception"	0.0420354
outing	0.0420136
weeknight	0.0415515
camping	0.04127
workout	0.0411537
tapa	0.0410554
getaway	0.0406729
"night game"	0.0405501
"happy hour"	0.040527
"Seasons Hotel"	0.0405182
"pumpkin pie"	0.040473
symposia	0.0404471
reunions	0.0403989
seafood	0.0403619
accommodation	0.0402716
gourmet	0.0401995
repast	0.0401732
"round table"	0.0401447
))
(Brundtland (desc 1203.41) (sims
Guterres	0.236462
Sumaye	0.228454
Stoyanov	0.224922
Ogata	0.219668
Jovanovic	0.214184
Kasoulides	0.212211
"de Charette"	0.208504
Leung	0.207481
Rifkind	0.19809
Nujoma	0.197599
Azad	0.19592
Lipponen	0.193277
Klima	0.189025
Meguid	0.185582
Chissano	0.181407
Tsang	0.181159
Pustovoitenko	0.178178
Kostov	0.177933
Gurirab	0.177121
Piot	0.176918
Jayakumar	0.176535
Wolfensohn	0.174159
Zuma	0.173979
"Gro Harlem Brundtland"	0.173776
Kharrazi	0.172965
Phieu	0.171519
Alatas	0.170939
Bolger	0.170878
Shevardnadze	0.170801
Markovic	0.170439
Zeng	0.169822
Koirala	0.168666
Rau	0.168518
Luong	0.16823
Malu	0.167449
Majko	0.167246
Diouf	0.166716
Camdessus	0.166539
Salim	0.166138
Donohue	0.165838
Gowda	0.165765
Bellamy	0.165591
Zou	0.165476
Narayanan	0.164958
Lau	0.164564
Karimov	0.164458
Velayati	0.163946
Nazarbayev	0.163417
Zeroual	0.161194
Ikeda	0.159692
Nasrallah	0.159351
Prueher	0.158044
Granic	0.157398
Mkapa	0.156512
Ciampi	0.156461
Goh	0.155449
Hasina	0.154615
Nzo	0.15359
Juppe	0.153322
Eizenstat	0.153236
Seleznyov	0.153027
Ikimi	0.150735
Saleh	0.150139
Kinkel	0.149074
Rodionov	0.148953
Bizimungu	0.148618
Ganzouri	0.147734
Cem	0.147676
Tian	0.147656
Wilhelm	0.14582
Walser	0.145484
Akayev	0.144879
Meissner	0.144756
Komura	0.144649
Khai	0.143938
Prewitt	0.143531
Leghari	0.143014
Hrawi	0.141472
Deuba	0.140979
Solana	0.140866
Constantinescu	0.140848
Pangalos	0.140415
"De Soto"	0.140407
Surin	0.139703
"Lee Hsien Loong"	0.139469
Ghali	0.138939
Severino	0.138619
Abdel-Meguid	0.138384
Tung	0.138118
Vedrine	0.136745
Frei	0.136586
Murayama	0.136491
Chavalit	0.136059
Ruehe	0.13598
Herzog	0.135688
Ekeus	0.135445
Fraga	0.135035
Duisenberg	0.134697
Iglesias	0.134468
Blatter	0.134414
Advani	0.134216
Rossotti	0.133635
"Pope John Paul"	0.133186
Gauthier	0.13309
Molinari	0.132908
Ivanov	0.132427
Fiorina	0.132248
Scalfaro	0.131314
Dini	0.131265
Axworthy	0.130978
Chiluba	0.130469
Mowlam	0.130219
Dehaene	0.130162
Moratinos	0.129597
Shipley	0.129566
Buthelezi	0.128845
Kurth	0.1288
Scharping	0.128598
Mbeki	0.128554
Banharn	0.128374
Bhattarai	0.128283
Downer	0.127493
Pickering	0.127269
Kumaratunga	0.126918
Goldin	0.126745
Burleigh	0.126434
Hu	0.125624
Santer	0.125103
Sergeyev	0.125062
"Defense William Cohen"	0.124969
"Prime Minister Banharn Silpa-Archa"	0.124578
Prodi	0.123798
Meles	0.123379
Chan	0.123328
"Tim Fischer"	0.123197
"Secretary General Esmat Abdul-Meguid"	0.123181
Rasmussen	0.122986
D'Alema	0.122808
Hauser	0.122565
Boueiz	0.122289
Qian	0.122193
Jia	0.121743
"Secretary General Esmat Abdel-Meguid"	0.121722
"Antonio Guterres"	0.12155
Zarb	0.121468
Jobe	0.121466
Kok	0.121309
Luo	0.121303
Ben-Ami	0.121143
Chretien	0.121015
Brahimi	0.120965
Holl	0.120898
Qiao	0.120803
Shareh	0.120511
Shamshad	0.119839
"Than Shwe"	0.119767
Gujral	0.119438
Kabariti	0.119028
wen	0.118814
Moi	0.118392
"Ung Huot"	0.118191
Jospin	0.118125
Bruton	0.118087
Juma	0.117604
Aliyev	0.11753
"John Prescott"	0.117135
Menem	0.116966
Lahoud	0.116918
Brittan	0.116562
Swenson	0.116522
Bedie	0.11646
Insulza	0.116327
Majali	0.116293
Rais	0.11625
Flockhart	0.115831
Weil	0.115738
Pastore	0.11494
Niyazov	0.114583
Chevenement	0.114562
Nano	0.114364
Ahtisaari	0.114354
Vollebaek	0.114218
Kyprianou	0.11358
Grasso	0.113338
Lim	0.113209
Hybl	0.112719
Sampaio	0.112668
Fu	0.112578
Masire	0.11239
Moussa	0.112384
Museveni	0.112359
Dodik	0.112314
Muluzi	0.112267
Ruggiero	0.111802
Fischer	0.1116
Supachai	0.111364
Rafsanjani	0.111341
Wahid	0.11129
al-Sahhaf	0.111258
Kenyon	0.111102
Singson	0.110969
Zhirinovsky	0.110265
Zhu	0.109603
Lukashenko	0.109528
Schuessel	0.109418
Nateq-Nouri	0.108983
McKinnon	0.108649
Arbour	0.108623
Barad	0.108595
Garang	0.10825
"Chavalit Yongchaiyudh"	0.107988
Samper	0.107848
Whipple	0.107726
Cui	0.107549
Muoi	0.107445
"Bashkim Fino"	0.10726
Demirel	0.107025
Rakhmonov	0.106672
Flanagan	0.106644
Siazon	0.106632
Kwasniewski	0.106214
Fay	0.106064
COYNE	0.105467
Xiong	0.105433
Browne	0.105257
Farnsworth	0.105185
Talbott	0.10512
O'Reilly	0.104729
Kuchma	0.104706
"Paul Keating"	0.104568
Koskinen	0.104463
Yoon	0.104298
Sezer	0.104283
"Edmund Ho Hau Wah"	0.10413
Ramos	0.104126
Hashimoto	0.103996
Hariri	0.10395
Bubb	0.103843
Alarcon	0.103794
Koehler	0.103785
Vasile	0.103736
"Li Peng"	0.103695
Mahathir	0.10365
Koo	0.103563
"Atal Behari Vajpayee"	0.103521
Mandelson	0.103485
Grossman	0.103436
Jaffe	0.10333
Talebi	0.103322
al-Khatib	0.103233
"Sepp Blatter"	0.103218
Shahak	0.10321
Aziz	0.103162
Paxon	0.103145
"Chief Executive Tung Chee-hwa"	0.103024
"Romano Prodi"	0.102979
"Sher Bahadur Deuba"	0.102969
"Boutros Boutros Ghali"	0.102915
Thapa	0.102909
Wu	0.102868
Mordechai	0.10256
Obuchi	0.102501
Husseini	0.102258
Aznar	0.102203
Hanley	0.102094
Rawabdeh	0.102046
Abubakar	0.102014
Moscoso	0.101988
Khamenei	0.101905
Kissinger	0.10186
Iliescu	0.101653
Schmid	0.101651
Anand	0.101622
Albright	0.101608
"Girija Prasad Koirala"	0.101183
tang	0.101122
"Pandeli Majko"	0.101057
"George Robertson"	0.100756
Duffy	0.100594
Juncker	0.100458
Daley	0.100446
Strauss-Kahn	0.10043
Lari	0.100388
Chi	0.100354
Satcher	0.10033
Simitis	0.100037
al-Sahaf	0.10001
))
(Brunei (desc 16714.7) (sims
"Brunei Darussalam"	0.205749
Laos	0.2008
Oman	0.189734
"Papua New Guinea"	0.177828
Malaysia	0.168679
Thailand	0.1676
Maldives	0.165366
Philippines	0.165352
Bangladesh	0.164798
Singapore	0.162302
Mauritius	0.160472
Cambodia	0.160364
"Saudi Arabia"	0.152646
Myanmar	0.150195
Qatar	0.148106
"Viet Nam"	0.146747
Mongolia	0.146056
Algeria	0.144037
Botswana	0.143245
Bahrain	0.143199
Indonesia	0.141299
"Sri Lanka"	0.140451
"New Zealand"	0.139426
Namibia	0.138359
Luxembourg	0.1383
"South Korea"	0.136882
"Republic of Korea"	0.136674
Nepal	0.136654
Vietnam	0.135997
Burma	0.132155
Egypt	0.131176
Kuwait	0.130982
"United Arab Emirates"	0.130301
Bhutan	0.130038
Venezuela	0.129654
Hungary	0.129262
Uzbekistan	0.129106
Benin	0.128462
Australia	0.126671
"South Africa"	0.125217
Uruguay	0.124623
Kenya	0.124245
ROK	0.123776
Portugal	0.123749
Finland	0.123454
Argentina	0.122708
Norway	0.122684
Kazakhstan	0.122054
Pakistan	0.121832
India	0.121177
Gabon	0.12006
Turkmenistan	0.118822
Poland	0.117476
Fiji	0.116208
Morocco	0.115883
Ghana	0.115786
Belgium	0.114991
Japan	0.114939
Malawi	0.114847
Mozambique	0.114826
"United Kingdom"	0.114733
"Bandar Seri Begawan"	0.113731
Bolivia	0.112769
Bulgaria	0.112409
Estonia	0.112276
Romania	0.112252
Lao	0.111979
"Costa Rica"	0.111393
Denmark	0.110467
Djibouti	0.109993
Libya	0.109009
Austria	0.108515
Kyrgyzstan	0.108487
Canada	0.108232
Chile	0.108107
Switzerland	0.107914
Nigeria	0.107886
Brazil	0.107837
Iceland	0.107039
Peru	0.106937
Slovenia	0.106905
UAE	0.106728
Sweden	0.106611
Britain	0.106384
Korea	0.106369
Swaziland	0.106101
Netherlands	0.105944
Malta	0.105747
Greece	0.105247
France	0.105126
Madagascar	0.104872
Zimbabwe	0.104578
Senegal	0.103718
"Asian nation"	0.103591
"Burkina Faso"	0.103041
Ukraine	0.102345
Tanzania	0.102313
"Asian country"	0.102301
Tonga	0.101902
Cuba	0.101208
Tunisia	0.100538
Zambia	0.100368
PNG	0.100076
Mali	0.0999669
Latvia	0.0999356
Taipei	0.0998887
SEOUL	0.0994823
Barbados	0.0989885
Angola	0.0986988
Yemen	0.0985031
"Association of Southeast Asian Nations"	0.0982328
Panama	0.0982093
Azerbaijan	0.0980445
Italy	0.0975042
Jamaica	0.0974726
Iran	0.0973907
Moldova	0.097267
"Hong Kong"	0.0972632
Mexico	0.0971305
"Chinese Taipei"	0.0969804
Kazakstan	0.0969424
Vanuatu	0.0964688
Germany	0.0963473
"Trinidad and Tobago"	0.0960293
Lithuania	0.0958174
Armenia	0.0955344
Seychelles	0.0952271
Colombia	0.0943769
Hongkong	0.0942062
Uganda	0.0938769
Bangkok	0.0926384
"Kuala Lumpur"	0.0924766
"DPR Korea"	0.092383
Belarus	0.0920595
DPRK	0.0919759
Sudan	0.0918184
"Dominican Republic"	0.0916605
Russia	0.0914791
Ecuador	0.0914515
Guam	0.090902
Manila	0.090477
Turkey	0.0904385
Sultanate	0.0904302
"African country"	0.0903771
Lesotho	0.090248
Ethiopia	0.0902337
Luxemburg	0.0898568
Ireland	0.089772
Riyadh	0.089639
"Great Britain"	0.0894517
Niger	0.0892363
Croatia	0.0889442
Togo	0.0887526
Spain	0.0887009
Taiwan	0.0884089
Samoa	0.0883045
Slovakia	0.0878967
"North Korea"	0.0876302
Guatemala	0.0876273
Nicaragua	0.0875565
"CHIANG MAI"	0.0867287
"Cape Verde"	0.0855674
Pretoria	0.0847757
"The Netherlands"	0.0844878
Jordan	0.0840994
CAIRO	0.0836628
Syria	0.0828981
Macao	0.0825857
"member country"	0.0822917
Mauritania	0.0822798
"United State"	0.0821236
"Ho Chi Minh City"	0.0820418
"El Salvador"	0.0820276
Jakarta	0.0817682
PYONGYANG	0.0815894
"Democratic People's Republic of Korea"	0.0813106
Doha	0.0812587
"Central American country"	0.0809553
Burundi	0.0807714
Guinea	0.0807575
ASEAN	0.0806647
KIEV	0.0803181
DUBAI	0.0799995
Cartagena	0.079812
BEIJING	0.0795189
Tajikistan	0.0790524
Albania	0.0786797
Afghanistan	0.0786194
"New Delhi"	0.0785712
Suriname	0.0785339
Guyana	0.0784367
Cyprus	0.0783969
Honduras	0.0774692
Windhoek	0.0771691
"Ivory Coast"	0.0770518
Yunnan	0.0770184
Lebanon	0.0768116
Israel	0.0767853
"Czech Republic"	0.076564
Shanghai	0.0764358
))
("Brunei Darussalam" (desc 2092.74) (sims
Brunei	0.205749
"Bandar Seri Begawan"	0.115726
Laos	0.0870143
"Papua New Guinea"	0.0868697
"National League East"	0.0849014
"CHIANG MAI"	0.0843048
"Republic of Korea"	0.0778487
"St Petersburg"	0.0753614
"Viet Nam"	0.0690615
Pusan	0.0656453
"Chinese Taipei"	0.064662
Hongkong	0.0590871
Maldives	0.0573606
Burma	0.0573122
"National Sports Council"	0.0570888
Micronesia	0.0552247
"Malaysian capital"	0.0549381
Tallinn	0.0527278
Hiroshima	0.0518948
"four nights"	0.049619
"three million yuan"	0.0493601
Adelaide	0.0492792
"major league season"	0.0490808
"Exchange Fund"	0.0486948
Innsbruck	0.0486496
Hattiesburg	0.0485979
"up to @.@ percent"	0.0485177
near-collapse	0.0482678
Ipoh	0.0477408
"Little League World Series"	0.0476121
Lucerne	0.0471788
"Greek capital"	0.0460951
"three nights"	0.0457647
"Unites States"	0.0456225
"Coptic Christians"	0.0452624
Samoa	0.0439374
"Slovak Republic"	0.0438633
"Summer Olympic Games"	0.0436071
"National Convention"	0.0432396
Kuching	0.0430842
"bankruptcy protection"	0.0426493
Sharjah	0.0425011
Williamsport	0.0420381
Superdome	0.0419497
"NEC Invitational"	0.0414833
"Group of Rio"	0.0414744
Ames	0.0408885
"Boston Garden"	0.040851
Guam	0.0406069
"Algerian capital"	0.0401331
"stroke play"	0.0400082
))
(Brunell (desc 3843.91) (sims
McCown	0.221609
"Mark Brunell"	0.187741
Favre	0.178394
Paus	0.17401
Aikman	0.171836
Flutie	0.168413
Applewhite	0.167258
"Van Raaphorst"	0.16344
Marino	0.162483
Brees	0.159463
Kitna	0.158579
Bledsoe	0.154559
Testaverde	0.152896
Plummer	0.152617
Weinke	0.150903
McNown	0.14945
Huard	0.148752
Hasselbeck	0.147779
DeBerg	0.140674
Kealy	0.138647
Griese	0.137114
Dilfer	0.137091
Brister	0.132366
"Troy Aikman"	0.130574
Harbaugh	0.130269
Chandler	0.129468
Grbac	0.129062
"Chris Chandler"	0.128453
Manning	0.125037
"Rob Johnson"	0.124879
McNair	0.12454
"Dan Marino"	0.12428
Vick	0.122312
Andreychuk	0.122212
Elway	0.119067
Marinovich	0.118004
Brady	0.117999
Pederson	0.117693
"Vinny Testaverde"	0.115816
Mirer	0.113604
Gannon	0.113146
crouch	0.113078
Kanell	0.112149
"Jake Plummer"	0.111731
Bonner	0.11067
"Drew Bledsoe"	0.109259
Cunningham	0.108782
Outzen	0.107886
Garrett	0.1073
"Randall Cunningham"	0.106605
"Steve Young"	0.106553
"Carson Palmer"	0.104061
Boller	0.10358
Cassell	0.100493
McCann	0.0994372
Graziani	0.098694
O'Donnell	0.0966301
"Steve McNair"	0.0955251
"Kurt Warner"	0.0947516
Zolak	0.0945818
McNabb	0.0943476
"Trent Green"	0.0941276
Sehorn	0.0939681
"Tee Martin"	0.0931331
"Jon Kitna"	0.0923087
"Van Exel"	0.091068
Lafleur	0.0909669
"Cade McNown"	0.0908455
"Doug Flutie"	0.0906214
Lett	0.0902239
"Gus Frerotte"	0.0895166
DiSarcina	0.0891982
Brogna	0.0885484
"John Elway"	0.0882157
"Charlie Batch"	0.0880172
Schoeneweis	0.0879066
Saberhagen	0.0878866
"Chris Weinke"	0.087697
Storr	0.0874701
Warner	0.0874328
"Jeff George"	0.0873599
Palmer	0.0872759
Cleaves	0.08727
"Elvis Grbac"	0.0872395
"Rodney Peete"	0.0864334
"Kerry Collins"	0.0859
"Brad Johnson"	0.0855431
"Tony Banks"	0.085375
"Kordell Stewart"	0.0851955
Stackhouse	0.0848702
Foley	0.0841284
"Kent Graham"	0.0837423
Tupa	0.083611
"Bubby Brister"	0.0833981
Sydor	0.0832418
Bergkamp	0.083042
Audette	0.0823878
"Quincy Carter"	0.0823536
Bonilla	0.0823214
Irvin	0.081565
Gogel	0.0811893
Hundley	0.0810158
Jagr	0.0808502
Finley	0.0808403
"Bobby Hoying"	0.080779
"Jeff Blake"	0.0805617
Fiset	0.0803163
Mercker	0.0803151
Lehtinen	0.0800405
McDOWELL	0.0797911
Palmeiro	0.0797741
Soward	0.0793236
McGinest	0.0791501
Cora	0.0789612
Leiter	0.0789255
Caminiti	0.0787905
Modano	0.0783961
"Robert Edwards"	0.0783939
Kariya	0.0782774
Garnett	0.0778873
Alou	0.0778429
Gwynn	0.0776342
Belcher	0.0770532
Seanez	0.0769173
Newcombe	0.0767119
Bohanon	0.0766784
"Bobby Newcombe"	0.0766268
"Steve Beuerlein"	0.0765078
Primeau	0.0762449
McKinnon	0.0760418
McKenna	0.0760237
Klesko	0.0760073
Sanders	0.07574
Kapler	0.0756362
Dreifort	0.0753564
Fiedler	0.075145
Armstead	0.0750549
Blake	0.0748416
Muckler	0.0747831
Dawkins	0.0747827
Stumpel	0.074774
Roenick	0.0745429
"Todd Husak"	0.0742818
Olajuwon	0.0742787
"Joe Hamilton"	0.0741279
Percival	0.0740843
Atler	0.0737109
Pena	0.0736519
Warne	0.0734826
Lieberthal	0.073091
Robitaille	0.0730156
Ruehe	0.0729301
Lindros	0.0728544
"Neil O'Donnell"	0.0728343
Swann	0.0726345
Tuiasosopo	0.072497
Langenbrunner	0.0724475
Lacroix	0.0723392
"Drew Brees"	0.0723375
Grudzielanek	0.0723245
Erickson	0.0722677
Bodine	0.0722357
Unser	0.0722176
Nagy	0.0720946
DiMaio	0.0720308
Casey	0.0719402
Gadzuric	0.0719272
Chrebet	0.0718793
McIver	0.0714745
"Glenn Foley"	0.0714562
"Ted Johnson"	0.0713743
"Ryan Kealy"	0.0713708
"Emmitt Smith"	0.0708689
"Peyton Manning"	0.0708442
Najera	0.0707199
Hollandsworth	0.0705259
Detmer	0.070495
Moiso	0.0699742
Culpepper	0.0699524
Knoblauch	0.0699314
Rueter	0.0699067
Wohlers	0.0698583
Burkett	0.0698564
"Warren Moon"	0.0696385
Kramer	0.0694773
Kidd	0.0694143
"Rich Gannon"	0.0693754
Drew	0.06933
Gambill	0.0693058
Irvan	0.0691753
Olowokandi	0.0690975
Garciaparra	0.0690491
McKinley	0.0690317
Turgeon	0.0690117
Hardaway	0.0689263
"Van Horn"	0.0688106
Calcavecchia	0.0686683
Nieuwendyk	0.0686565
Strickland	0.0686091
Sykora	0.0685271
))
(brunette (desc 3173.78) (sims
redhead	0.171618
blonde	0.163267
"young lady"	0.082529
lass	0.0711567
Englishwoman	0.0682769
"young actress"	0.0681516
blond	0.0661844
divorcee	0.0612061
"white person"	0.0609305
"little girl"	0.0603717
schooler	0.0558499
ballerina	0.0535827
Berliner	0.053056
Granik	0.052743
"hard worker"	0.0522241
Irishman	0.051495
starlet	0.0510078
Lothario	0.0501329
"black woman"	0.0495227
emcee	0.0485022
"beam of light"	0.048327
"good person"	0.048199
bimbo	0.0478451
socialite	0.047004
Mahomes	0.0460103
"draft dodger"	0.0458969
lefthander	0.045667
Konerko	0.0455358
waif	0.0455352
temptress	0.0450325
"white woman"	0.0449833
maiden	0.0449781
stewardess	0.0444864
"shipwreck survivor"	0.0441911
Boller	0.0439736
"two pitchers"	0.0436829
tomboy	0.0436285
Frenchwoman	0.043591
Midwesterner	0.0434743
Leuchter	0.0433069
nobleman	0.043085
"little boy"	0.0429461
"visual image"	0.0427914
businesswoman	0.0427837
handicapper	0.0427196
Suppan	0.0426954
groundskeeper	0.0426586
"tool kit"	0.0424812
whore	0.0422973
"making love"	0.041889
doggone	0.041468
Kat	0.041362
Bottenfield	0.0412615
Dynamo	0.0407232
"married woman"	0.0405736
"black person"	0.0404215
Hooker	0.0403688
Englishman	0.0402996
"pants suit"	0.0401493
"Yao Ming"	0.0400244
))
(Brunner (desc 1239.53) (sims
Papon	0.139023
Kopp	0.120639
"Michael Skakel"	0.112533
Priebke	0.111435
Shayler	0.106403
"Bin Laden"	0.103748
Hensley	0.0999029
Einhorn	0.0962606
Valenzuela	0.096093
Massey	0.0942079
Montesinos	0.0937482
Chmura	0.0936849
"Abu Nidal"	0.0931543
Fagan	0.0929983
Al-Amin	0.0928646
Carruth	0.0920273
Monahan	0.0914432
Ershad	0.091234
Ntakirutimana	0.0903842
Adair	0.0901022
Cavallo	0.0896136
Lazarenko	0.0888688
Sebaggala	0.0886523
Sakic	0.0884735
Krstic	0.0884092
Schwarz	0.0881786
Faget	0.0876968
Babitsky	0.0871776
Prabowo	0.0861696
Dumas	0.0859531
Trudeau	0.0851407
Mcbride	0.0843523
Duvalier	0.0842546
"Carlos Salinas"	0.081982
Marinovich	0.0815521
Dodik	0.0810712
Resendez-Ramirez	0.079449
MCGEE	0.0793554
Ciampi	0.0793434
Nikitin	0.0789126
Stayner	0.0773705
Villanueva	0.0769306
Mladic	0.0765757
Palczynski	0.0761975
Rifaat	0.0761825
Yazdi	0.0759597
Vasquez	0.0758426
Kazhegeldin	0.0757775
Baumhammers	0.0756299
Hamzah	0.0754373
Masire	0.0753958
Hightower	0.0751531
Rudolph	0.0751501
Cepeda	0.0750593
Kalejs	0.0746381
Swango	0.0744426
Cubas	0.0742158
Underwood	0.0740032
Maradona	0.0739557
Siripongs	0.0736136
Xanana	0.0735859
Osama	0.0731631
Mercurio	0.0723474
Rabe	0.0723258
Norstrom	0.0722629
Frankel	0.0720208
Jakob	0.0719677
Soto	0.0717031
Heinrichs	0.0715479
Natale	0.0715271
Lileikis	0.0711306
Hirschfeld	0.0710973
Evan	0.0709769
Haouari	0.0708521
McDuff	0.0707872
Perec	0.0702178
Easley	0.0702053
Kromah	0.0696485
Gauthe	0.0695518
Conley	0.0695117
Aliyev	0.0694451
Arizmendi	0.069374
Hersh	0.0690651
Arad	0.0690005
Seselj	0.0686884
Karr	0.0685386
Koroma	0.068398
Markhasev	0.0681885
Kaczynski	0.068138
Harding	0.0681297
Wilkerson	0.0677402
Wiggins	0.0676564
Romar	0.0675797
Nunez	0.0674823
Ghani	0.0674058
Solis	0.0672139
Bhattarai	0.0670816
furrow	0.067009
Borodin	0.0670024
Oviedo	0.0668963
Pape	0.0668666
Shulman	0.0667782
Kurth	0.0667502
Harrell	0.0667069
Solzhenitsyn	0.0666362
Kurtz	0.0664906
BEGAY	0.0664615
Whitehead	0.0663738
Meguid	0.0662766
Ibrahim	0.0661042
Pearce	0.0656885
"Di Canio"	0.065583
Lugo	0.0649774
Wiseman	0.0646938
Bizimungu	0.0646294
"Ta Mok"	0.0645248
O'Reilly	0.0643932
Lehmann	0.0639743
Mokhehle	0.0638445
Walesa	0.0637951
Okada	0.0636691
Berenson	0.0635101
"Russell Peeler"	0.0632906
Brennan	0.0632234
Ribbeck	0.0631765
Larsen	0.0631587
Talebi	0.0630277
Kimeses	0.0630242
"Albert Pirro"	0.0626786
Lehane	0.0626526
Gravano	0.062565
Napolitano	0.0625469
Wetherell	0.0625433
BENSON	0.0622388
Dunston	0.0621725
Escobar	0.0621586
Pastore	0.0621405
Karadzic	0.0621155
Meskini	0.0619114
Stackhouse	0.0618846
Advani	0.0617634
Merlino	0.0616318
Skakel	0.0615248
Tanaka	0.0612392
Soliah	0.061233
DuBose	0.0611883
Bove	0.061172
Protas	0.0611264
"one hundred"	0.0611023
McGinn	0.061048
Nasrin	0.0609427
"Khun Sa"	0.0609164
Ratner	0.0608835
Ng	0.0608496
Collier	0.0607897
Craxi	0.0607618
Salinas	0.0607393
Gantamirov	0.060558
Marineau	0.0604469
hodgson	0.0604091
Lindner	0.0602913
GSS	0.0602781
"Iranian Jews"	0.0601518
Muoneke	0.0600663
Lombardi	0.0600268
parolee	0.0597656
Guzman	0.0597408
Ghosn	0.0596266
Chinese-Indonesians	0.0595383
McWilliams	0.0594945
Mandelson	0.0594885
Mayer	0.0592994
Basayev	0.0591778
Brownlee	0.0591753
Elliot	0.0591714
Tran	0.0591548
Padilla	0.0589943
Jelisic	0.0589589
Yan	0.0589379
McSorley	0.0588724
Sharma	0.0588298
Sasser	0.0587776
Lipponen	0.0587107
LeBlanc	0.0586966
Gannon	0.0586794
provocateurs	0.0585731
Barksdale	0.0584725
Kimes	0.0584089
Glover	0.0583593
Wilhelm	0.0583545
Tait	0.0583337
Meeks	0.0582744
Patasse	0.0581687
Sarsour	0.0580997
Herrera	0.058096
Ressam	0.0579492
Sankoh	0.0578825
"El Hage"	0.0578749
Shahak	0.057806
Hwang	0.0578014
))
(Bruno (desc 5272.39) (sims
Cuomo	0.0981006
Pataki	0.0971417
Giuliani	0.0907096
"Joseph Bruno"	0.0893077
"Sheldon Silver"	0.0883438
Spitzer	0.0873239
McCall	0.0869495
Riordan	0.0858932
Cornyn	0.0840441
Nickles	0.083743
Lott	0.0831972
Vallone	0.0829813
Molinari	0.081356
Kolbe	0.0804377
Rowland	0.079902
Ruehe	0.0792508
D'Amato	0.0790269
Tauzin	0.0787446
Chafee	0.0775065
"Christie Whitman"	0.0773747
Hayworth	0.0771504
Whitman	0.0769092
Hodges	0.0767279
Moynihan	0.0764897
McCaffrey	0.0764098
"John Rowland"	0.0753503
Shays	0.0753315
"Alfonse D'Amato"	0.0751624
Powers	0.0751459
Taft	0.0735247
Breaux	0.0734935
Brownback	0.0713542
Bragman	0.0713199
Hyde	0.0705763
Helms	0.070559
Boehner	0.0699485
Leavitt	0.0698586
Greenspan	0.0698366
Rosen	0.0694654
Berger	0.0682903
"U.S. Defense Department"	0.0681815
Garcetti	0.0677829
Livingston	0.0676498
Aleman	0.0673416
Kaye	0.0669695
Craig	0.0668736
ROMNEY	0.06684
Rubinstein	0.0667348
Ashcroft	0.0666232
Vance	0.066521
Advani	0.0661794
Daley	0.0660801
Djukanovic	0.0660677
Meehan	0.0660365
Shaheen	0.0656984
Hybl	0.0654317
Gramm	0.0649723
Coverdell	0.0647005
Kennard	0.0646105
Babcock	0.0645172
Barshefsky	0.0644911
"Tom Ridge"	0.0644773
"Congressional Republicans"	0.0641381
"Rick Perry"	0.0641101
Lockhart	0.0640527
Aventajado	0.0639648
Pelosi	0.0639502
Burleigh	0.0637776
Daschle	0.0635185
Bettman	0.063473
Lehane	0.0634609
R-Miss.	0.0633733
Houghton	0.0632641
Eizenstat	0.0631738
Alarcon	0.0630528
Bonanno	0.0626443
Levin	0.0625239
Warshaw	0.0624393
Lukashenko	0.0620342
O'Malley	0.0619916
McCurry	0.0618319
Katz	0.0617426
Siegelman	0.0617421
Singson	0.0617315
Powell	0.0612976
"Christine Todd Whitman"	0.0612397
Krajisnik	0.0608411
Cellucci	0.0607707
Kyl	0.0607208
Flanagan	0.0606313
Armey	0.0606069
Hansen	0.0605559
"Jim Gilmore"	0.0604549
Insulza	0.0603536
"Le Pen"	0.0602877
Primakov	0.0602828
Tsang	0.0602792
Demaci	0.0602783
Halloran	0.0601862
Dodd	0.0600846
Kasyanov	0.060041
Klima	0.0600212
Tarawneh	0.0600114
Gosper	0.060005
Rendell	0.059948
Jenoff	0.059871
Sharpton	0.0597851
Hoffa	0.0597055
Gephardt	0.0594349
Bartlett	0.0593674
Hastert	0.0593094
Wenger	0.059304
Quackenbush	0.0592589
Manley	0.0592241
Gorton	0.0591219
Melvin	0.0590303
Verney	0.0589199
Starovoitova	0.0588103
Rais	0.0587498
Piot	0.0587486
Fong	0.0587056
Bauer	0.0585411
Babbitt	0.0583683
Waigel	0.0583382
Lautenberg	0.0582429
Difrancesco	0.0579553
Kasoulides	0.0579104
Goodman	0.0578899
Zhirinovsky	0.0578777
Rossotti	0.0578287
Russo	0.0577602
Samaranch	0.0576947
Schumer	0.0576374
Meissner	0.057545
Rubin	0.0575292
Trimble	0.0574321
Ecevit	0.0574274
Wahid	0.0573465
Markey	0.0573459
Lungren	0.0572983
Harmoko	0.0572877
Leahy	0.0569748
"Jane Hull"	0.0569022
Engler	0.0568578
Luzhkov	0.0567761
Domenici	0.0567199
"Earl Spencer"	0.0565404
"George Ryan"	0.0564177
O'Connor	0.056207
Kharrazi	0.0560531
"Health and Welfare Ministry"	0.0559254
Reimer	0.0558617
Fulmer	0.0557778
Kuchma	0.0557434
Duisenberg	0.0557251
Rahman	0.0557108
"Mario Cuomo"	0.0556555
"George Pataki"	0.0556306
Shevardnadze	0.0556147
Baucus	0.0555914
Albright	0.0553981
"Curt Weldon"	0.0552967
O'Brien	0.0552102
Malu	0.0551793
"Christopher Shays"	0.055166
Ovitz	0.0550879
Dickey	0.0550566
Inhofe	0.0550261
Cohen	0.0549947
hatch	0.0549362
Caddell	0.0549351
Poplasen	0.0549119
Lazio	0.0548947
Mugabe	0.0548876
Zyuganov	0.0548779
Lim	0.0548504
Friedman	0.0548414
Metcalf	0.054815
Cashman	0.0547302
"Frederick Sumaye"	0.0546857
Torre	0.0546333
Gormley	0.0546157
Archer	0.0544546
Sheppard	0.0544052
Bidwill	0.0542711
Spurrier	0.0542109
Fassel	0.054085
Aquino	0.054084
Sharif	0.0539632
Hutchison	0.0539464
Scioscia	0.0539419
Duvalier	0.0539071
Kwasniewski	0.0539059
Wilson	0.0538966
Zuma	0.0538486
Denktash	0.0538219
"Eliot Spitzer"	0.0538142
Gorbachev	0.0537672
Burton	0.0537636
Hagen	0.0537276
))
("Bruno Megret" (desc 1565.63) (sims
Megret	0.124861
"Anwar Ibrahim"	0.0875927
"Roosevelt Johnson"	0.0863651
"Vuk Draskovic"	0.0863352
"Gennady Zyuganov"	0.0834122
"Jean-Marie Le Pen"	0.0811964
"John Hagelin"	0.0797436
Rodionov	0.0793908
"Patriotic Union of Kurdistan"	0.0792037
"Wolfgang Schaeuble"	0.0788787
"Biljana Plavsic"	0.0769979
"Thabo Mbeki"	0.0744607
"Ali Mahdi Mohamed"	0.0735518
"Abu Mazen"	0.0729887
"Abdullah Ahmad Badawi"	0.0727938
"Benazir Bhutto"	0.0717415
"Megawati Sukarnoputri"	0.071457
"Kurdistan Democratic Party"	0.0667505
Sezer	0.0663454
Grachev	0.0656327
"Inkatha Freedom Party"	0.0653161
"Alejandro Toledo"	0.064737
"Ernie Grunfeld"	0.0630467
"Advanced Micro Devices"	0.0627467
"Megawati Soekarnoputri"	0.0626907
"John Prescott"	0.0617547
"Lawrence Summers"	0.0616546
"World Championship Wrestling"	0.061059
"Igor Ivanov"	0.0609699
"Tansu Ciller"	0.0604451
"Seamus Mallon"	0.0585726
"Supachai Panitchpakdi"	0.0583742
"Secretary General Esmat Abdul-Meguid"	0.0583734
"Boutros Boutros Ghali"	0.057932
"Wireless Optus"	0.0578171
"Mahmoud Abbas"	0.0576213
"Pepsico Inc."	0.0573238
Kassirer	0.0560993
"Rudolph Giuliani"	0.0557842
"Strobe Talbott"	0.0552593
"FC Barcelona"	0.054846
"Christine Arron"	0.0547381
"Northern Alliance"	0.0546386
"Glenn Hoddle"	0.05439
"Abdurrahman Wahid"	0.0537265
Bucaram	0.0531483
"Gulbuddin Hekmatyar"	0.0523656
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0520857
"Airbus Industrie"	0.0520202
Hayworth	0.0519042
Bhutto	0.0517909
"Don King"	0.0514624
"Laurent Fabius"	0.051007
"John Podesta"	0.0509787
Gurirab	0.050872
"Andres Pastrana"	0.0506875
"Republican George W. Bush"	0.0501793
"Netscape Communications Corp."	0.0500551
"Fehmi Agani"	0.0500065
"Olusegun Obasanjo"	0.049421
Benazir	0.0493447
"Peter Vallone"	0.0493153
"car door"	0.0492809
"Mannesmann AG"	0.0488165
Rais	0.0485626
Ibrahim	0.0485067
Kan	0.0481088
"Ahmed Ressam"	0.0480003
"Netscape Communications"	0.0479733
"Martin McGuinness"	0.0468813
"John Major"	0.0467418
"Helen Clark"	0.0465874
Meguid	0.046475
"Canadian Airlines"	0.0460716
"Fatos Nano"	0.0458813
Dodik	0.0457571
"Ariel Sharon"	0.0457426
"Koichi Kato"	0.0456929
Plavsic	0.0455335
chipmakers	0.0452809
"Pascoal Mocumbi"	0.0451083
"Gerhard Schroeder"	0.0449452
Karpov	0.0449111
"two @@-year-olds"	0.0447916
Azizah	0.0446752
Grambling	0.0445218
"Gil Morgan"	0.0442369
cellmate	0.0439275
Milutinovic	0.0438617
"Jehovah's Witness"	0.0435574
Godwin	0.043442
"Constitutional Assembly"	0.0433827
Zeroual	0.0433636
Dougherty	0.0432214
Salernitana	0.0431118
Asprilla	0.0430351
"Frederick Sumaye"	0.0430096
Skuratov	0.0429345
Ciampi	0.0429334
"Yuri Luzhkov"	0.0429048
"Louisiana State"	0.0428553
Banzer	0.0427121
"Jacques Santer"	0.0426759
"Pope John Paul"	0.0426252
"William Hague"	0.0422759
"Walter Zenga"	0.042254
"soul mate"	0.0421757
"Ibrahim Rugova"	0.0420277
Esposito	0.0419517
Wannstedt	0.0419046
Tevanian	0.0417392
"Jeffrey Katzenberg"	0.0417146
"Mohammad Khatami"	0.0416432
"Dave Wannstedt"	0.0416315
Galbraith	0.041596
"Bangladesh Nationalist Party"	0.0415583
"Vladimir Yakovlev"	0.0414573
Hezb-i-Islami	0.0414369
"Alexander Lebed"	0.0413327
Thyssen	0.0413031
Lari	0.0411031
Demaci	0.0410569
"Boris Nemtsov"	0.041028
"Scott Harshbarger"	0.0410108
Hassan	0.0409942
Sithole	0.0407895
Draskovic	0.0406005
"Gerry Adams"	0.0405848
Wamba	0.0403906
Cem	0.0402508
Ruehe	0.0401475
))
(Brunswick (desc 4099.78) (sims
Macon	0.134903
Waterville	0.133787
Bangor	0.119196
LaGrange	0.117224
Duluth	0.116929
Lewiston	0.114056
Thomasville	0.113463
Camden	0.104307
Gainesville	0.103594
Pittsfield	0.103007
"DeKalb County"	0.101811
Poughkeepsie	0.101414
"Gwinnett County"	0.100986
Savannah	0.100031
"Fulton County"	0.09936
Decatur	0.0989183
Augusta	0.0978145
Greenville	0.0958448
Kennebunkport	0.0950452
Clifton	0.0950123
"Fayette County"	0.0944856
LAKEWOOD	0.0941015
Hillsboro	0.0929123
Rockland	0.0928742
Freeport	0.0915078
Gloucester	0.0913307
Dunwoody	0.0912617
Charleston	0.0910851
ASHEVILLE	0.091062
Norcross	0.0905068
Windham	0.0901785
Alameda	0.0884794
Falmouth	0.0880487
Conyers	0.0878394
Smyrna	0.0876325
Tokaimura	0.0871417
"West Palm Beach"	0.0865838
Alpharetta	0.0863453
Plattsburgh	0.0863105
Matamoros	0.0857192
Golcuk	0.0856353
Albany	0.0854826
Utica	0.0851622
Carrollton	0.085149
"Fort Lauderdale"	0.0851113
Farmington	0.0844772
Chatham	0.084096
"Baton Rouge"	0.0833461
Derry	0.0825704
Larnaca	0.0822768
"Boynton Beach"	0.0821524
Huntsville	0.0815919
Watertown	0.081188
Wilmington	0.0810211
"Oklahoma City"	0.0807505
Spokane	0.0804047
Chatsworth	0.0798531
"White Plains"	0.0795877
Schenectady	0.078999
"Cobb County"	0.0787454
Laredo	0.0787021
Montclair	0.07851
Flagstaff	0.0777285
Americus	0.0777166
Birmingham	0.077666
Englewood	0.0776482
Zhangbei	0.0774252
riverside	0.0774136
Chattanooga	0.0774035
Morristown	0.0773131
"Fort Wayne"	0.0770425
Youngstown	0.076899
Fayetteville	0.0767188
Vlore	0.076604
Columbus	0.0765737
Palmdale	0.0764361
Plano	0.0763323
"Fort Worth"	0.0758905
midland	0.0758306
Lubbock	0.075737
Elmira	0.0756566
Wildwood	0.0753408
Miami-Dade	0.0751419
Suwanee	0.0747293
Assab	0.0741798
Wichita	0.0739044
"St. Paul"	0.0734237
Lijiang	0.0732826
"Cherry Hill"	0.0731444
"Stone Mountain"	0.0725643
"Saratoga Springs"	0.0721799
Beaufort	0.072094
Burlington	0.0720476
Marietta	0.0719236
Yonkers	0.0718954
"Santa Monica"	0.0717615
Jacksonville	0.0716613
Lawrenceville	0.071639
Newark	0.0714851
Trincomalee	0.0713833
Norfolk	0.0711537
Limassol	0.0710498
Brownsville	0.0710471
Roswell	0.07094
"Long Beach"	0.0708655
"New Haven"	0.0706921
Forsyth	0.0706705
"Myrtle Beach"	0.0706432
Hartford	0.0706118
Lansing	0.070592
TRENTON	0.0703525
Nogales	0.0703088
DeKalb	0.0700849
Kettering	0.0698951
Ensenada	0.0696171
CAMILLA	0.0695018
Dalton	0.0694646
"Jersey City"	0.0694149
Izmit	0.0692052
Springfield	0.0688406
Pasadena	0.0688374
Chappaqua	0.0687952
Naples	0.0686892
Jasper	0.0685894
Louisville	0.0685296
Fairfield	0.0684157
"Newport Beach"	0.0680663
Waterloo	0.0673639
"San Mateo"	0.0673423
"Union City"	0.0672289
Port-au-Prince	0.0670847
flint	0.0669485
Bushehr	0.0668725
Plymouth	0.0668195
Tacoma	0.0667952
Goteborg	0.0667557
Monterey	0.0667238
Walpole	0.0667022
York	0.0666368
Middletown	0.0666213
Alexandria	0.0665689
Rutherford	0.0662999
Somerville	0.0662061
Peoria	0.0661729
Haifa	0.0660916
"Ciudad Juarez"	0.0658706
Amarillo	0.0655965
Gdansk	0.0655273
Greenwich	0.065476
Bremen	0.0652803
Windsor	0.0650721
Quincy	0.0649876
Galveston	0.0649347
"San Luis Obispo"	0.0647184
Stamford	0.0646188
Urosevac	0.064411
"Little Rock"	0.064288
Portland	0.0640025
Juarez	0.0639308
"Daytona Beach"	0.0638935
Rockport	0.0638023
Kismayu	0.0635914
Middlesex	0.063513
Ithaca	0.0634975
"Delray Beach"	0.063428
Bethesda	0.0631928
Bellingham	0.0631587
Lhokseumawe	0.063092
Westfield	0.0630561
Tbilisi	0.0628274
Arlington	0.0626243
Longview	0.0625017
Kalamazoo	0.0623854
Limerick	0.062347
Lynchburg	0.0623314
Albuquerque	0.0622988
Belfast	0.0622835
Bridgeport	0.0622392
Honolulu	0.0622002
Calais	0.0621694
Stockbridge	0.0620347
Guadalajara	0.0620143
Harrisburg	0.0620054
Tampa	0.061956
"Santa Rosa"	0.0618149
Sihanoukville	0.0617062
Marjayoun	0.0616285
Salem	0.0616128
Tijuana	0.0614676
Sevastopol	0.0614267
Madison	0.0613747
"Shenzhen City"	0.0612996
Covington	0.061277
Hamburg	0.0611938
"Virginia Beach"	0.0611267
Tuscaloosa	0.0610916
Fresno	0.0610827
Bergen	0.0610568
Chamonix	0.0609873
Missoula	0.0609696
))
(brunt (desc 7117.79) (sims
aftereffect	0.135889
ravages	0.133585
spite	0.124405
severity	0.123645
wake	0.113228
recurrence	0.112534
aftermath	0.108708
midst	0.105015
likelihood	0.103265
spate	0.0995192
"New Wave"	0.0927095
enormity	0.0894613
magnitude	0.088747
throe	0.0862484
anticipation	0.0819135
worst	0.0812057
Intensification	0.0808249
consequence	0.0800681
bulk	0.0791066
whammy	0.0754465
lessening	0.0749549
extent	0.0741792
flareup	0.0736182
onset	0.0723778
torrent	0.0718773
barrage	0.0715581
"vicious cycle"	0.0702352
lightening	0.0699218
spectre	0.0679424
aftershock	0.0672017
suddenness	0.0665334
litany	0.0654062
repercussion	0.0651007
hint	0.065054
"how much"	0.063723
"vicious circle"	0.063449
probability	0.0616631
occurrence	0.0615203
crux	0.0607667
"tidal wave"	0.0606685
onslaught	0.0605133
Wrath	0.0602758
downdraft	0.0597697
indignity	0.0597347
perpetuation	0.0587658
updraft	0.0587184
intensity	0.058343
rash	0.0578282
heel	0.0576312
reminder	0.0574978
"rising tide"	0.0569226
inkling	0.0569192
"whole lot"	0.0562401
devastation	0.0557367
flurry	0.0554909
"leading edge"	0.0554087
maelstrom	0.0552813
yoke	0.0552306
spillover	0.0550457
frequency	0.0550182
specter	0.0548794
easing	0.0547419
vagary	0.0546654
groundswell	0.0542725
immensity	0.0541063
escalation	0.0539234
repetition	0.0535571
eruption	0.0533827
drumbeat	0.0532768
remnant	0.0532496
battering	0.0529847
"good deal"	0.0529325
trauma	0.0528825
firestorm	0.0528372
indicative	0.0522953
deductibility	0.0522494
continuation	0.0519426
"Up to @ inches"	0.0516814
"more than @@ inches"	0.0512699
deluge	0.0508677
undercurrent	0.0508345
ferocity	0.049971
casualty	0.0499698
manifestation	0.0498192
crosscurrent	0.0497805
"first hours"	0.0497403
backdrop	0.0493203
tide	0.0493155
seriousness	0.0491406
indication	0.0490924
harbinger	0.0488209
instigator	0.0485752
worsening	0.047631
"focal point"	0.047165
outbreak	0.0469129
pang	0.0469116
twinge	0.0467425
gist	0.0465098
brink	0.0457982
reflection	0.0457653
curtailment	0.0456132
outgrowth	0.0450909
exigency	0.0449234
"great deal"	0.0449079
breakout	0.0444078
dissipation	0.04436
mitigation	0.0442827
"tail end"	0.0434747
cataclysm	0.0432546
epicenter	0.0429961
inevitability	0.0429279
flare-up	0.0428985
fury	0.0428662
alleviation	0.0427772
fusillade	0.0427702
"Almost three-quarters"	0.0426401
"market expectation"	0.0425765
"good part"	0.0425695
infliction	0.0424946
lowering	0.0422063
condemnation	0.042132
makings	0.0420416
agony	0.0420041
volley	0.0419393
"cold spell"	0.0416667
outpouring	0.0415737
spasm	0.0415523
"first three days"	0.0415415
resurgence	0.0415101
myriad	0.0413639
outburst	0.0411297
abhorrence	0.0411129
abrogation	0.0410554
complained	0.0410266
verge	0.0410128
squall	0.0406176
"chain reaction"	0.0406045
upsurge	0.0405156
effects	0.0405121
fallout	0.0404692
"mirror image"	0.0404197
temblor	0.0403554
portent	0.0401782
))
("Bruny Surin" (desc 1947.46) (sims
"Frankie Fredericks"	0.330979
"Jeremy Wotherspoon"	0.296239
"Donovan Bailey"	0.262665
"Ato Boldon"	0.238323
"Elvis Stojko"	0.236704
"Irina Privalova"	0.23113
"Maurice Greene"	0.219615
"Jon Drummond"	0.186275
"Jacques Villeneuve"	0.18296
"Irina Slutskaya"	0.179208
"Christine Arron"	0.177885
"Susanthika Jayasinghe"	0.177718
"Sebastien Lareau"	0.174431
"Sandra Voelker"	0.173137
"Mark Crear"	0.171597
"Daniel Kowalski"	0.169766
"Allen Johnson"	0.16929
"Dennis Mitchell"	0.16447
"Gail Devers"	0.163432
"Koji Ito"	0.156086
"Merlene Ottey"	0.152671
"Derrick Adkins"	0.150437
"Liu Limin"	0.149023
Fredericks	0.148406
"Li Na"	0.148273
"Angelo Taylor"	0.141272
"Michael Johnson"	0.140954
"Chen Lu"	0.136062
"Kieren Perkins"	0.133216
"Colin Jackson"	0.132746
"Yu Zhuocheng"	0.131698
"Marion Jones"	0.130935
"Cathy Freeman"	0.130205
"Tom Dolan"	0.129961
"Wang Yifu"	0.129941
"Inger Miller"	0.129796
"Maria Mutola"	0.128486
"John Godina"	0.126672
"Maria Butyrskaya"	0.125396
"Li Jiajun"	0.1252
"Amy van Dyken"	0.124975
"Linford Christie"	0.123894
"Deon Hemmings"	0.123351
"Fiona May"	0.123084
"Kim Batten"	0.122488
"Hilde Gerg"	0.122011
"Li Xuemei"	0.121405
"Alexander Popov"	0.120914
"Denis Pankratov"	0.119426
"Nortel Networks Corp."	0.118721
"Alexei Nemov"	0.117376
"Moses Tanui"	0.116304
"Hicham El Guerrouj"	0.114222
"Gary Hall"	0.113711
"Marie-Jose Perec"	0.112016
"Simona Amanar"	0.111623
"Michael Klim"	0.109973
"Jean-Philippe Gatien"	0.109175
"Daniel Nestor"	0.10869
"Abraham Olano"	0.10817
"Gary Hall Jr."	0.107284
"Pernilla Wiberg"	0.107054
"Paul Tergat"	0.1068
"Guo Jingjing"	0.105725
"Iwan Thomas"	0.104714
"Svetlana Masterkova"	0.104389
"Liu Guoliang"	0.10345
"Jenny Thompson"	0.102975
"Dong Jiong"	0.101289
"Anjelika Krylova"	0.100494
"Charles Austin"	0.0991366
"Frank Bruno"	0.0990156
"Thomas Stangassinger"	0.0985672
"Susie O'Neill"	0.0985027
"Carlos Sainz"	0.0972034
"Hiroyasu Shimizu"	0.0970911
Boldon	0.0965473
"Regina Jacobs"	0.096156
"Lasse Kjus"	0.0949096
"Chen Jing"	0.0945499
"Ong Ewe Hock"	0.0939169
"Daniel Komen"	0.0933282
"Ian Thorpe"	0.0927395
"Dara Torres"	0.0926557
"Marina Anissina"	0.0924841
"Penny Heyns"	0.0923926
"Katja Seizinger"	0.0917346
"Renate Goetschl"	0.0917201
"Claudia Poll"	0.0914395
"Rintje Ritsma"	0.0912553
"Huang Xu"	0.0911621
"Max Biaggi"	0.0902666
"Juha Kankkunen"	0.0902433
"Doug Walker"	0.089745
"Elena Berezhnaya"	0.0894222
"Fung Permadi"	0.0885869
"Carl Lewis"	0.0884722
"Fatuma Roba"	0.0880569
"Mia Audina"	0.0879439
"Jearl Miles-Clark"	0.0876755
"over @@@ meters"	0.0872752
"Hermann Maier"	0.087135
"Chris Boardman"	0.0870083
"Ben Johnson"	0.0867898
"Isolde Kostner"	0.0867681
Hoogenband	0.0857098
"Erik Zabel"	0.085459
"Alexei Urmanov"	0.0853403
"Le Jingyi"	0.0850284
"Greg Moore"	0.0850099
"Wang Chunlu"	0.0847108
"C.J Hunter"	0.0846869
Tanui	0.0845619
Devers	0.0844219
"Anita Wachter"	0.084205
"Oksana Kazakova"	0.0839911
"Lenny Krayzelburg"	0.0838394
"Mario Cipollini"	0.0836637
"Fernando Escartin"	0.0832857
Khorkina	0.082928
"Chen Hua"	0.0824654
Zabel	0.0819597
"Deborah Compagnoni"	0.0819525
"Alexei Yagudin"	0.0818123
"Michelle Smith"	0.0816785
"Sonia O'Sullivan"	0.0813763
"Shannon Miller"	0.0812939
"Gong Zhichao"	0.0806741
"Susi Susanti"	0.0799245
"Picabo Street"	0.0798424
"Vladimir Samsonov"	0.079112
"Buster Douglas"	0.0790355
"Johan Museeuw"	0.0787498
"Wang Junxia"	0.078525
"Samantha Riley"	0.0778079
"Damon Hill"	0.0774218
"Todd Eldredge"	0.0770852
Biffle	0.0767121
"Florence Griffith Joyner"	0.0766776
"Yang Yang"	0.0766758
"Tian Liang"	0.0766724
"Michael Von Gruenigen"	0.0766451
"Felix Savon"	0.0764431
"Michael Doohan"	0.0759954
Ottey	0.0759756
"Stacy Dragila"	0.0758815
Hendrawan	0.0756719
"Martina Moravcova"	0.0754836
"Dan O'Brien"	0.0754448
"Grant Hackett"	0.0754213
"Pavel Tonkov"	0.0753682
"Colin McRae"	0.0751606
Kjus	0.0750314
"Wang Tao"	0.0748994
"Fu Mingxia"	0.07483
"Rodney Eyles"	0.0744544
"Inge de Bruijn"	0.0739953
"Michael Schumacher"	0.073879
"David Coulthard"	0.073395
"Richard Burns"	0.0733831
Shuwei	0.0732754
"Heryanto Arbi"	0.0722156
"Ji Xinpeng"	0.07177
"Ivan Pedroso"	0.0717187
"Michelle Kwan"	0.0707072
"Haile Gebrselassie"	0.0706173
"Wang Liqin"	0.0704594
"Martin Schmitt"	0.0702489
"Alberto Tomba"	0.0700454
Longo	0.0698136
"Nancy Kerrigan"	0.0696323
"Svetlana Khorkina"	0.0694498
"Andrew Ilie"	0.0691696
"American Pete Sampras"	0.0687715
"Leander Paes"	0.0687104
"Wang Nan"	0.0686215
"Jeff Maggert"	0.0674971
"Didier Auriol"	0.0673606
"Ye Zhaoying"	0.0672557
"Miguel Indurain"	0.06683
"MIka Hakkinen"	0.0666129
Bruguera	0.0665261
"Albert Portas"	0.0664635
"Michael Chang"	0.0662514
"Gong Ruina"	0.0655308
"Randy Barnes"	0.065527
"Jorgen Persson"	0.0647472
"Martina Ertl"	0.064676
"Alex Zuelle"	0.0646238
"Kjetil Andre Aamodt"	0.0640082
"Tommi Makinen"	0.0639521
"Sergi Bruguera"	0.0639093
"Chen Gang"	0.0636923
"Camilla Martin"	0.0634745
"Tegla Loroupe"	0.063417
"Laurent Brochard"	0.0633746
"Sarah Hughes"	0.0631676
"Favorite Trick"	0.0630685
"Kristen Maloney"	0.0630666
"Laurent Jalabert"	0.0627622
))
(bruschetta (desc 1787.09) (sims
tapenade	0.129764
"leg of lamb"	0.118172
risotto	0.112916
crostini	0.106962
pizza	0.0977853
pasta	0.0915281
"Caesar salad"	0.0903296
Lasagna	0.0887679
pesto	0.0879233
spaghetti	0.0837056
focaccia	0.0836789
FETA	0.0821268
quiche	0.081455
paella	0.0811895
"spaghetti sauce"	0.0799312
cheesecake	0.0782016
"vegetable soup"	0.0762854
chowder	0.0762111
confit	0.074447
"tomato sauce"	0.0744141
"pot roast"	0.072179
Parmesan	0.0718442
fettuccine	0.0686425
"macaroni and cheese"	0.0677119
"pumpkin seed"	0.0676318
polenta	0.0671605
Dias	0.0667312
asparagus	0.0654502
prosciutto	0.0648929
hummus	0.064212
eggplant	0.06343
scone	0.0630261
"corn chip"	0.0629877
"goat cheese"	0.0629407
Casserole	0.062813
"cream puff"	0.0622495
fig	0.0619286
pancetta	0.0615749
"beef broth"	0.0610835
"fruit salad"	0.0606397
"brook trout"	0.0606086
radicchio	0.0605649
cornbread	0.0602077
"sea bass"	0.0594694
penne	0.0587823
burgers	0.0576554
"French bread"	0.0574777
salsa	0.0569431
Seymour	0.0568179
"pumpkin pie"	0.0566334
"red snapper"	0.0565521
linguine	0.0565518
meringue	0.0559784
meatloaf	0.0551417
butterscotch	0.0533538
"chocolate cake"	0.0531495
"chocolate chip cookie"	0.0531435
spaetzle	0.0528196
chevre	0.0525415
vinaigrette	0.0523038
gnocchi	0.0522457
frittata	0.0514227
artichoke	0.0513601
ricotta	0.0513555
lettuce	0.0512865
"fennel seed"	0.0512242
COBBLER	0.0511722
romaine	0.0510399
"potato salad"	0.0510384
"beef tenderloin"	0.0504245
mozzarella	0.0497986
"peanut butter"	0.0496628
"green salad"	0.0494558
"rack of lamb"	0.049409
oatmeal	0.0489482
sundae	0.0488289
cheeseburger	0.0486001
Fondue	0.0480537
"spring roll"	0.0473788
"chicken salad"	0.0471997
Benecol	0.0470589
omelet	0.0468201
pancake	0.0467093
"green onion"	0.0464996
"creme brulee"	0.0462596
breadcrumb	0.0460391
"French toast"	0.0459328
pilaf	0.0455122
mussel	0.0454774
salami	0.045307
"chocolate mousse"	0.0452139
Souffle	0.0451988
"root vegetable"	0.0447494
coming-out	0.0446642
milkshake	0.0445394
"chicken wing"	0.0445021
walnut	0.0442862
swab	0.0440408
avocado	0.0439703
mousse	0.0439416
"french fries"	0.0435808
ravioli	0.0434291
"brussels sprout"	0.0432618
"pork tenderloin"	0.0431786
takeout	0.0431443
sushi	0.0429682
quesadillas	0.0427548
"side dish"	0.0427044
praline	0.0426532
"pie crust"	0.0426007
Gorgonzola	0.0420285
monkfish	0.0419904
"oreo cookie"	0.0418078
flan	0.0417017
guacamole	0.0415933
chutney	0.0411819
matzoh	0.0411552
"traffic circle"	0.0411115
pretzel	0.0410839
"roast beef"	0.0408642
nacho	0.040061
frankfurter	0.0400339
"pecan pie"	0.0400131
))
(brush (desc 47449.4) (sims
underbrush	0.0929493
vegetation	0.0878148
grass	0.0846182
forest	0.0825308
scrub	0.0803143
tree	0.0784783
brushing	0.0756289
paint	0.0743865
sponge	0.0719521
weed	0.0716189
broom	0.0703488
wood	0.0685143
pencil	0.0681976
shrub	0.0678863
timber	0.0655991
pen	0.0655935
cloth	0.0648176
sand	0.0643617
pine	0.0638128
mud	0.0633584
farmland	0.0633423
knife	0.0624671
woodland	0.0620523
leaf	0.0618709
debris	0.0616881
toothbrush	0.0616757
grassland	0.0604047
bottle	0.0596564
dirt	0.0586976
flower	0.0578307
swamp	0.0573637
thicket	0.057109
pasture	0.0570301
rock	0.0564456
scrape	0.0553588
crayon	0.0552387
pan	0.0546286
rag	0.0545599
glass	0.0543193
sheet	0.0540364
muck	0.0529856
spatula	0.0529463
snow	0.0527899
stain	0.0527227
needle	0.0525626
utensil	0.0525064
Grove	0.0521743
detergent	0.0521346
terrain	0.0521166
ink	0.0520701
Spoon	0.051724
"paper towel"	0.0517197
towel	0.0515483
pad	0.0515145
wildflower	0.0512801
dust	0.0512632
coat	0.0509218
vine	0.0508992
Hammer	0.0508272
Marsh	0.0507875
bag	0.0506829
soap	0.0505978
soil	0.0504152
cornfield	0.0503876
glue	0.050059
brick	0.0498583
silt	0.0494404
meadow	0.0493384
bucket	0.0492365
tile	0.0490106
canvas	0.0489993
plastic	0.0488124
Garbage	0.0486506
paste	0.0485657
skin	0.0484376
shovel	0.0483146
dish	0.0481006
hose	0.0480926
run-in	0.0479105
furniture	0.0477582
jungle	0.0477473
surface	0.0475953
slice	0.0475179
hair	0.0474411
Concrete	0.0473563
stalk	0.0473423
pot	0.0470697
fog	0.047013
cloud	0.0469983
glove	0.0468944
metal	0.0468632
prairie	0.0467698
stone	0.0463511
desert	0.0462178
greenery	0.0461861
blanket	0.0461653
tool	0.0461531
fabric	0.0459958
mattress	0.0456908
candle	0.0456196
tube	0.0455568
foliage	0.0451689
crop	0.0451267
rubble	0.0451095
coating	0.0450681
rubbish	0.0449686
fork	0.0448029
fascination	0.0446303
pipe	0.0446261
lawn	0.0445368
vegetable	0.0445148
carpet	0.0443921
log	0.044152
wetlands	0.044093
vase	0.0440006
bread	0.0439259
cleaner	0.0439254
finger	0.0438985
orchard	0.0438502
Shell	0.0437701
glaze	0.0436333
box	0.0433099
gravel	0.0432846
paper	0.043177
patch	0.043154
drizzle	0.0431243
egg	0.043104
Plywood	0.0430818
hill	0.043021
roller	0.0430126
blade	0.0429601
mat	0.0429295
Straw	0.042789
foam	0.042491
lake	0.0424542
layer	0.042452
tire	0.0422384
fish	0.0422315
trash	0.0422247
insulation	0.0421793
plaster	0.0421652
tent	0.0420716
watercolor	0.0418768
shoe	0.0418603
tank	0.0418243
obsession	0.0417802
jar	0.0417025
color	0.0415848
tissue	0.041547
palette	0.0415058
canyon	0.0414474
carpeting	0.0413127
wax	0.0412177
bamboo	0.0411642
powder	0.0410731
chair	0.0407522
mountain	0.0407445
clay	0.0406771
bed	0.0405813
boot	0.0405551
container	0.040551
ball	0.0405469
rack	0.0405443
graffiti	0.0404331
shampoo	0.0403906
ICE	0.0403771
pile	0.0403439
Liquid	0.0402416
material	0.0402406
toothpaste	0.040234
Firewood	0.040226
diaper	0.0402106
pigment	0.0401489
camera	0.0401282
bark	0.0401242
smoke	0.0400979
))
("brush fire" (desc 5066.31) (sims
wildfire	0.218179
"forest fire"	0.198453
blaze	0.188784
conflagration	0.139752
firestorm	0.125925
"contagious disease"	0.100506
"more than @@@,@@@ acres"	0.0999894
flame	0.0976667
"chain reaction"	0.0973917
inferno	0.0928826
mudslide	0.091395
unrest	0.0900704
rioting	0.0881759
"flash flood"	0.087069
"power failure"	0.0842094
Thunderstorm	0.0840275
"bank failure"	0.0828294
"oil slick"	0.0819904
"price war"	0.0814976
flare-up	0.0812531
ember	0.0792513
"market correction"	0.0791192
epidemic	0.0765475
riot	0.0760101
looting	0.0750897
twister	0.0738357
gunbattle	0.0737843
hotspots	0.0737805
thundershowers	0.0733824
landslide	0.0732553
firefight	0.0722041
selloffs	0.0717199
"more than @@,@@@ acres"	0.0714911
furor	0.0711931
floodwaters	0.0697263
"race riot"	0.0697262
"cash crunch"	0.0691711
squall	0.0689761
"arms race"	0.0681514
"heat wave"	0.0678507
sandstorm	0.0677363
"cold wave"	0.0675339
"religious movement"	0.0673116
campfire	0.067289
"million acres"	0.0669741
insurgency	0.0667387
contagion	0.0666244
snowstorm	0.0665856
tremor	0.0665712
instability	0.0665526
canker	0.065846
brouhaha	0.0658392
tornado	0.0651319
skirmish	0.0644489
selloff	0.0639523
firefights	0.0636708
disturbance	0.0635437
sell-off	0.0630569
"volcanic eruption"	0.0629738
"high water"	0.0626547
"crime wave"	0.061712
bonfire	0.0614346
"engine failure"	0.0610729
"bubonic plague"	0.0610706
"rain shower"	0.0608301
fireball	0.0607936
craze	0.0606527
heatwave	0.0602848
crises	0.0600842
ruckus	0.0600163
uprising	0.059703
outages	0.0596186
"cattle ranch"	0.05949
"economic crisis"	0.0594419
"cold spell"	0.0594347
famine	0.0590966
deforestation	0.0588365
calamity	0.0587337
"warm front"	0.0587317
giardia	0.0587049
"Medicare HMO"	0.0586892
"gas plant"	0.0583042
revolt	0.058185
rebellion	0.05811
"dairy farm"	0.0580155
temblor	0.0579283
sectarianism	0.057699
pandemic	0.057672
"soil erosion"	0.05709
outbreak	0.0570839
uproar	0.0565855
upheaval	0.0565789
"house party"	0.0560508
downpour	0.0556723
drownings	0.0556557
"piece of cloth"	0.0555282
melee	0.05523
cryptosporidium	0.0552084
hyperinflation	0.0549536
hysteria	0.0549522
"nuclear explosion"	0.0548589
locust	0.0547434
scuffle	0.0545767
"world war"	0.0542932
"dust storm"	0.0541489
vegetation	0.0541378
fury	0.0540522
"skin cancer"	0.0536929
aftershock	0.0536407
"corruption scandal"	0.0534072
gunbattles	0.0531292
shrubbery	0.0531055
marshland	0.0530786
turbulence	0.0530308
desertification	0.0530094
militancy	0.0528946
"acid rain"	0.0528299
burnings	0.0525605
underbrush	0.052522
"foot-and-mouth disease"	0.0524326
"ice storm"	0.0523925
pileup	0.0522872
fracas	0.0522762
sprawl	0.0522507
windstorm	0.0518684
contretemps	0.051817
tsunami	0.0517214
mishap	0.0516916
"cold snap"	0.0516858
anti-Semitism	0.051677
infestation	0.0516648
"investor interest"	0.0515323
scourge	0.0514279
"trailer park"	0.051349
pandemonium	0.0513084
"dengue fever"	0.051252
outage	0.0512496
bloodbath	0.0511676
poisoning	0.051145
cholera	0.0510652
"explosive device"	0.0508981
blackout	0.0506846
bloodletting	0.0506452
smog	0.0505768
groundswell	0.0504821
tumult	0.0503711
rainstorm	0.0502109
deluge	0.0501648
downturn	0.0500949
bomblets	0.0499962
Wetland	0.0498723
firebomb	0.0498146
"car bomb"	0.0496419
"plant disease"	0.0494622
"parcel of land"	0.0494544
commotion	0.0493446
wetlands	0.0492908
Ripple	0.049282
lawlessness	0.0492558
savanna	0.0492109
"work stoppage"	0.0490813
avalanche	0.0490169
"sales outlet"	0.0489985
sell-offs	0.0489486
frenzy	0.0488741
closings	0.0486763
"Lyme disease"	0.0484792
"commercial enterprise"	0.0483586
subsidence	0.0482238
"infectious disease"	0.0480978
meltdowns	0.0479857
fad	0.0478956
meltdown	0.0478724
fever	0.0478707
Haze	0.04786
discontent	0.0478572
wrangle	0.047767
"ground cover"	0.0476759
derailment	0.0476711
"tidal wave"	0.047577
deflation	0.0474269
shakeout	0.0473584
tempest	0.0473533
influenza	0.047315
"hot flash"	0.0472494
"production problem"	0.0472413
fistfight	0.0472162
hailstorm	0.0471228
displacement	0.0470326
cauldron	0.0470286
"takeover battle"	0.0470168
scrum	0.0470165
"respiratory disease"	0.0469501
"drug problem"	0.0469429
"space heater"	0.0468942
"oil well"	0.0468864
devaluation	0.0467518
Frost	0.0467098
crematorium	0.0466845
"about @@@ acres"	0.0466768
))
(brushing (desc 4570.09) (sims
frying	0.0928683
rubbing	0.0685537
chipping	0.0547913
conjuring	0.0539467
patching	0.0457077
pruning	0.0452557
"refresher course"	0.0445442
crazies	0.0436212
emphases	0.0429394
sealing	0.0428272
stumping	0.0425502
mouthwash	0.0408831
headcount	0.040665
))
(brushwork (desc 1509.1) (sims
typeface	0.0781633
pastel	0.057831
timbre	0.0562321
"oil paint"	0.0548909
crispness	0.0521243
"risk taker"	0.0514865
lettering	0.0512894
"writing style"	0.0507474
shading	0.0503683
toolbars	0.0481597
sharpness	0.0476678
colloquy	0.0475104
wordsmith	0.0462532
gouache	0.0457015
improvisation	0.0453841
watercolor	0.0447928
morals	0.0444888
pacing	0.0440579
dependability	0.0436436
ornamentation	0.0432416
"color scheme"	0.0431365
orchestration	0.0428181
"wide screen"	0.0426648
engraving	0.042272
sketchbook	0.0421542
weaponization	0.0420106
timeliness	0.0418369
approximation	0.0414308
dissonance	0.0410642
self-promotion	0.0406819
inflection	0.0405846
fescue	0.0400244
))
(BRUSSELS (desc 42001.6) (sims
Geneva	0.250907
Bonn	0.249142
Vienna	0.230323
CAIRO	0.226709
Helsinki	0.218568
Paris	0.215729
LONDON	0.206589
Madrid	0.206377
Rome	0.205216
Moscow	0.200619
LISBON	0.197887
STOCKHOLM	0.197657
Berlin	0.19271
Frankfurt	0.189135
HARARE	0.189113
Tokyo	0.187346
BUDAPEST	0.185315
JOHANNESBURG	0.184156
Amsterdam	0.183972
SEOUL	0.183048
"Kuala Lumpur"	0.179741
Riyadh	0.178983
Nairobi	0.178461
Tehran	0.177888
KIEV	0.177878
BUCHAREST	0.177759
Lusaka	0.176791
"Addis Ababa"	0.17665
Manila	0.175586
Bangkok	0.174786
ATHENS	0.174271
Prague	0.174127
Zurich	0.171743
WARSAW	0.171639
BEIJING	0.170477
Islamabad	0.170443
Luanda	0.169873
"New Delhi"	0.169855
"Mexico City"	0.166286
Jakarta	0.165282
Amman	0.164325
Damascus	0.163741
MAPUTO	0.16265
Istanbul	0.161318
Beirut	0.161303
"Tel Aviv"	0.160925
Havana	0.160624
"Buenos Aires"	0.160114
Pretoria	0.159006
Algiers	0.157428
HANOI	0.156765
BELGRADE	0.156363
Munich	0.155057
Dublin	0.154815
ANKARA	0.154192
Oslo	0.154156
SOFIA	0.151154
PYONGYANG	0.151082
ZAGREB	0.151081
DHAKA	0.150528
Lausanne	0.150355
TIRANA	0.149219
"Cape Town"	0.148565
Sarajevo	0.148535
CARACAS	0.148055
Luxembourg	0.146718
"Rio de Janeiro"	0.146702
Tripoli	0.145528
Baghdad	0.145395
KAMPALA	0.144926
Abuja	0.144607
Washington	0.144416
TUNIS	0.144101
Santiago	0.143401
Dushanbe	0.143276
Belfast	0.142622
Doha	0.140491
Ottawa	0.140141
Copenhagen	0.13735
COLOMBO	0.13639
Lagos	0.135412
Windhoek	0.135349
"Phnom Penh"	0.134595
"Abu Dhabi"	0.133639
Durban	0.133489
BRASILIA	0.133387
Milan	0.132876
Khartoum	0.131614
Gaza	0.130256
Accra	0.13008
BOGOTA	0.129197
Kigali	0.128531
"Dar es Salaam"	0.128509
Gaborone	0.12818
Duesseldorf	0.127573
Florence	0.126368
Cologne	0.126317
Pristina	0.125508
Shanghai	0.125114
Arusha	0.12493
Singapore	0.124809
Rabat	0.124281
"The Hague"	0.123907
NICOSIA	0.122944
Asmara	0.122147
YANGON	0.121897
Hamburg	0.121306
Canberra	0.120436
Bern	0.117834
Ramallah	0.11762
Minsk	0.117504
Stuttgart	0.117488
"New York"	0.117229
Kandahar	0.117144
Strasbourg	0.116926
SANAA	0.116837
Kathmandu	0.116701
Baku	0.11661
MELBOURNE	0.115631
Davos	0.115565
Lome	0.115478
JERUSALEM	0.115087
Tbilisi	0.114964
Sydney	0.114443
"KUWAIT CITY"	0.114329
Vientiane	0.113283
Tashkent	0.112955
Kinshasa	0.112717
Cartagena	0.112359
Taipei	0.111861
Osaka	0.111553
MANAMA	0.111337
Monrovia	0.110847
MONTEVIDEO	0.110528
Lima	0.110428
Abidjan	0.110045
Auckland	0.109728
Freetown	0.109615
Managua	0.109517
Jeddah	0.108672
Skopje	0.107645
Seville	0.10686
Naples	0.106589
"St. Petersburg"	0.105977
Kyoto	0.10579
Maseru	0.105323
"San Jose"	0.10525
Birmingham	0.104254
Turin	0.103995
Yaounde	0.103962
"Los Angeles"	0.103453
Kabul	0.103267
"Santo Domingo"	0.102839
"Ulan Bator"	0.102127
Barcelona	0.101558
Dakar	0.101406
Mbabane	0.10119
PALERMO	0.100001
"Hong Kong"	0.0989352
Lyon	0.0984724
Dili	0.0982109
"Panama City"	0.0979864
Manchester	0.0978479
Muscat	0.0971053
Alexandria	0.0969676
"Sao Paulo"	0.0968944
Bombay	0.096809
Minneapolis	0.0966594
Karachi	0.0961796
Vilnius	0.0952227
"San Francisco"	0.095222
Edinburgh	0.0952045
Bujumbura	0.0949334
Glasgow	0.0942346
Ouagadougou	0.0939026
DUBAI	0.0937838
Kunming	0.0937555
Teheran	0.0934438
Cardiff	0.0928234
Bahrain	0.0927135
Mogadishu	0.0922754
Honolulu	0.0922047
Asuncion	0.0920827
Quito	0.0918651
Montreal	0.0918222
Venice	0.0915005
Wellington	0.09098
Rotterdam	0.0908564
"Saudi Arabia"	0.0905186
"San Juan"	0.0903202
Lahore	0.0900442
Vancouver	0.0899473
"Las Vegas"	0.0896076
BASEL	0.0895712
Seattle	0.089215
"La Paz"	0.0891113
Philadelphia	0.0889484
Guangzhou	0.0884426
"Guatemala City"	0.0877859
Salzburg	0.0877761
))
("brussels sprout" (desc 3129.24) (sims
celery	0.258378
cabbage	0.254758
Broccoli	0.251896
cauliflower	0.250591
"green bean"	0.246662
spinach	0.246339
asparagus	0.220123
turnip	0.214577
Kale	0.212958
carrot	0.212185
zucchini	0.207021
leek	0.20441
lettuce	0.200152
radish	0.198697
eggplant	0.193417
chard	0.18524
rutabaga	0.180806
beet	0.180362
pea	0.180028
fennel	0.180011
cucumber	0.173699
onion	0.170742
"bell pepper"	0.167505
romaine	0.16571
okra	0.162043
"Chinese cabbage"	0.161628
potato	0.156798
artichoke	0.155849
"sweet potato"	0.148754
Collard	0.147943
tomato	0.147342
"lima bean"	0.14684
arugula	0.146464
"bean sprout"	0.143648
"cherry tomato"	0.142988
squash	0.141563
"romaine lettuce"	0.139816
florets	0.138748
"string bean"	0.137474
"iceberg lettuce"	0.131735
mushroom	0.13165
tortellini	0.130612
"collard greens"	0.129961
Garlic	0.128984
RHUBARB	0.128752
Endive	0.127355
"green pepper"	0.126438
"fava bean"	0.122348
"green onion"	0.121282
lentil	0.119466
bean	0.118281
shallot	0.117758
"white rice"	0.117658
"shiitake mushroom"	0.115841
"red onion"	0.114293
sprout	0.113894
sauerkraut	0.113524
corn	0.111336
plantain	0.111162
watercress	0.110908
scallion	0.110374
"red pepper"	0.108391
"bok choy"	0.107852
ham	0.107798
macaroni	0.107657
"potato salad"	0.107597
pepper	0.10755
avocado	0.107111
tomatillo	0.106569
"black olive"	0.105182
parsnip	0.105114
pancetta	0.104917
mozzarella	0.104836
"goat cheese"	0.102216
"pork tenderloin"	0.101511
vegetable	0.100422
pumpkin	0.098557
"Swiss chard"	0.0981724
"hot pepper"	0.0980942
cantaloupe	0.0979969
"black-eyed pea"	0.0979081
cornbread	0.0973735
"winter squash"	0.0973116
"chicken breast"	0.0966903
"sweet corn"	0.0957083
"beef tenderloin"	0.095651
veggie	0.0951903
shrimp	0.095152
"snow pea"	0.0949102
radicchio	0.0946888
tofu	0.0942971
parsley	0.0940624
"white bean"	0.0923041
"garlic clove"	0.0919894
linguine	0.0918557
anchovy	0.0912436
watermelon	0.0911824
"tomato sauce"	0.0911174
quiche	0.0907781
"pork loin"	0.090772
jalapeno	0.0901171
almond	0.0893602
Basil	0.0891825
pasta	0.0889802
pork	0.0884474
bacon	0.0878383
mussel	0.0876257
chiles	0.0874655
frisee	0.087438
pineapple	0.0874341
ginger	0.087276
"chili pepper"	0.0872615
nectarine	0.0865449
chilies	0.0856201
"beef broth"	0.0855616
slaw	0.0847895
Sorrel	0.0844749
cheese	0.0844427
pear	0.0843402
sausage	0.0839202
olive	0.0834467
Chickpea	0.0829584
prosciutto	0.0824257
noodle	0.0822833
chorizo	0.081999
ricotta	0.0819646
cilantro	0.0814673
"coconut milk"	0.0811758
chevre	0.081158
"black bean"	0.0810818
polenta	0.0809912
crab	0.080926
grapefruit	0.0808031
melon	0.0801164
mint	0.0797944
spaghetti	0.0790871
fillet	0.0788581
blueberry	0.0788449
octopus	0.0776042
"citrus fruit"	0.0773513
"Vidalia onion"	0.0773375
mango	0.076437
thyme	0.0764122
waffle	0.0763202
peach	0.0760235
pickle	0.0751841
strawberry	0.0751651
"ground beef"	0.0750648
seaweed	0.0749226
"green salad"	0.0748791
apricot	0.074669
cod	0.0737558
salad	0.0736694
"hard-boiled egg"	0.0736681
banana	0.073637
Parmesan	0.0735768
flan	0.0735004
scallop	0.0734742
grape	0.0733101
lemon	0.0731151
"water chestnut"	0.0730318
papaya	0.0727892
fig	0.0726418
"blue cheese"	0.0720481
"wild rice"	0.0719498
oregano	0.0717273
"filet mignon"	0.0711614
dumpling	0.0711461
dill	0.0708487
steak	0.0705343
"root vegetable"	0.0704011
"corned beef"	0.0703951
ravioli	0.0701191
pilaf	0.0699335
halibut	0.069891
"french fries"	0.0698687
raspberry	0.0697988
truffle	0.0694107
soup	0.0692296
cassava	0.0691706
tuna	0.0690406
morel	0.0688988
brisket	0.068714
cranberry	0.0683515
lemongrass	0.0683185
"macaroni and cheese"	0.068203
walnut	0.0681421
salsa	0.0679349
"roast beef"	0.0677423
chive	0.0671904
chanterelle	0.0671703
mustard	0.0669724
clam	0.06672
Chili	0.0663202
"chicken broth"	0.0662877
lobster	0.0661396
mesclun	0.0660004
kernel	0.0659179
"orange juice"	0.0656167
hummus	0.0655618
))
(brutality (desc 35839.3) (sims
abuse	0.203971
atrocity	0.203877
harassment	0.179153
torture	0.17519
violence	0.170443
cruelty	0.167164
misconduct	0.167153
discrimination	0.166664
racism	0.1652
mistreatment	0.159734
repression	0.158238
persecution	0.156032
"sexual harassment"	0.154383
corruption	0.148387
injustice	0.146348
rape	0.145869
"child abuse"	0.144894
oppression	0.138664
aggression	0.137678
terror	0.136144
cleansing	0.13233
intimidation	0.131838
killing	0.130824
"election fraud"	0.128579
genocide	0.127909
violation	0.126761
barbarity	0.125742
"war crime"	0.12564
incompetence	0.125468
kidnapping	0.124126
crime	0.12296
"sexual assault"	0.122521
looting	0.122443
fraud	0.12072
intolerance	0.120307
massacre	0.120204
terrorism	0.120169
wrongdoing	0.11344
lawlessness	0.113322
prejudice	0.112249
beating	0.111744
bigotry	0.111615
mismanagement	0.111539
neglect	0.111017
abduction	0.110389
assault	0.109247
anti-Semitism	0.109004
theft	0.108719
malpractice	0.108634
"mass murder"	0.108155
bias	0.108127
hatred	0.107368
negligence	0.107348
irregularity	0.107332
murder	0.106654
destruction	0.102423
coercion	0.101747
vandalism	0.101533
nepotism	0.100165
maltreatment	0.0997051
bribery	0.099177
horror	0.0991483
barbarism	0.0988556
molestation	0.0985715
hypocrisy	0.0980977
espionage	0.0976809
misuse	0.0970173
arrogance	0.0963473
bloodshed	0.0963174
act	0.0962748
evil	0.0958513
exploitation	0.0951706
behavior	0.0947121
attack	0.0931688
suffering	0.0928732
extortion	0.0926788
slaughter	0.0925126
misdeed	0.0924378
"insider trading"	0.0923612
provocation	0.0920306
conduct	0.0919558
greed	0.0918891
bombing	0.0918522
hardship	0.0917603
hooliganism	0.0916345
slavery	0.0914531
unfairness	0.0914018
graft	0.0909299
piracy	0.0909181
embezzlement	0.0908608
carnage	0.0908329
cronyism	0.0905687
"drug use"	0.089817
mutilation	0.0891235
deception	0.0889303
devastation	0.0888892
insensitivity	0.0887714
infringement	0.0887304
immorality	0.0883554
sexism	0.0883096
humiliation	0.088267
inhumanity	0.0881836
"drug abuse"	0.0876963
extremism	0.0875989
infidelity	0.0873668
poverty	0.0873054
"drug trafficking"	0.0870998
"tax evasion"	0.0870464
malfeasance	0.0869445
arson	0.0866771
vote-buying	0.086676
criminality	0.0863526
tragedy	0.0862847
"money laundering"	0.0851723
savagery	0.0851013
thuggery	0.0850721
indifference	0.0848905
cover-up	0.0847444
inequality	0.0847309
dumping	0.0843424
crackdown	0.0839223
manipulation	0.0839127
adultery	0.0839046
tactic	0.0837293
Execution	0.0835142
tampering	0.083507
betrayal	0.0833863
detention	0.0833467
deceit	0.0831303
mayhem	0.0830057
robbery	0.0830047
misbehavior	0.0826017
action	0.0825245
slaying	0.082365
conspiracy	0.0822276
plagiarism	0.0821895
expulsion	0.0821861
assassination	0.0815431
favoritism	0.0813649
tyranny	0.0813619
shooting	0.0810063
dishonesty	0.0808455
hostility	0.080298
price-fixing	0.0801612
excess	0.080034
hijacking	0.0799989
pogrom	0.0798743
smuggling	0.0797525
butchery	0.0796536
prostitution	0.0791127
incest	0.0790592
reprisal	0.0786944
impropriety	0.07848
trafficking	0.0783829
incident	0.0780427
shelling	0.0778045
slander	0.077801
misrule	0.0777525
failure	0.0777512
deprivation	0.0777424
cannibalism	0.0776885
involvement	0.077403
homophobia	0.0770131
illegality	0.0769035
collusion	0.0766425
complicity	0.0764407
censorship	0.0762971
incursion	0.0762051
invasion	0.076069
suicide	0.0760255
defamation	0.0755872
ignorance	0.0754554
"securities fraud"	0.0753101
lynching	0.0752631
stupidity	0.0751805
trauma	0.0750096
misery	0.0748302
rampage	0.0745456
sabotage	0.0744503
threat	0.0741639
"military action"	0.0741409
sodomy	0.0740745
disappearance	0.074016
victimization	0.0740041
hostage-taking	0.0735353
blasphemy	0.0733362
obstruction	0.073221
insecurity	0.0730288
unrest	0.0726302
infanticide	0.0725912
drinking	0.0724045
holocaust	0.0723024
blackmail	0.0722755
Death	0.0722751
occupation	0.0719342
"double standard"	0.0718489
racketeering	0.071673
forgery	0.0716495
spying	0.0715531
perjury	0.0715105
))
(brute (desc 3969.43) (sims
lout	0.0814196
tyrant	0.0797952
Irishmen	0.0756112
bruiser	0.0636213
bloke	0.0627583
hunk	0.0550453
hoodlum	0.0550405
psychopath	0.0538246
brawler	0.0530582
"Bengal tiger"	0.0522944
"white elephant"	0.052169
"Little Dog"	0.0504854
Scotsman	0.0496939
thug	0.0492996
despot	0.0488983
slob	0.0484908
overachiever	0.0484009
goon	0.0483916
rascal	0.0483398
monopolist	0.0481367
"hit man"	0.0473355
brat	0.0471356
bastard	0.0462926
puncher	0.0453568
"traveling salesman"	0.0450321
fella	0.0446119
craftsman	0.0443664
jock	0.043989
strongmen	0.0434192
liar	0.0432827
"hard worker"	0.0431919
lifer	0.0430934
lad	0.0425778
madman	0.0425524
beast	0.0420971
"Citizen Kane"	0.0420165
"Wild Man"	0.0419525
Gash	0.0413828
housemate	0.0412486
maniac	0.0412112
redhead	0.0411342
switch-hitter	0.0410082
scoundrel	0.040946
bum	0.0409288
Najera	0.0406043
clergyman	0.040538
critter	0.0404262
"major leaguer"	0.0404149
Dynamo	0.040404
theorem	0.0403864
"big leaguer"	0.0402928
battler	0.0401343
whiner	0.0401225
))
(Bruton (desc 664.226) (sims
Sumaye	0.2556
Meguid	0.252593
Jovanovic	0.228813
Jayakumar	0.2257
Rong	0.222379
Kasoulides	0.221122
Abdel-Meguid	0.207505
Ruehe	0.202194
Ikimi	0.202176
Azad	0.199142
Ashrawi	0.195205
Nasrallah	0.192217
Constantinescu	0.192115
Zou	0.190892
Brittan	0.18658
Boueiz	0.184189
Iliescu	0.182826
Velayati	0.182622
Granic	0.182215
Guterres	0.181169
Stoyanov	0.173006
Juma	0.165384
Pustovoitenko	0.164249
Hauser	0.164135
Dini	0.161846
Shareh	0.159767
Scalfaro	0.158797
Chissano	0.158165
Zuma	0.157724
Siazon	0.157202
Rifkind	0.155954
Deuba	0.154429
Dodik	0.153567
Husseini	0.153484
Phieu	0.153457
Klestil	0.153395
Jia	0.153041
Leghari	0.152996
Camdessus	0.152817
Nzo	0.152214
"Lee Hsien Loong"	0.152087
Alatas	0.151642
Waigel	0.150533
Piot	0.150063
Yazdi	0.149805
Bellamy	0.149503
Vollebaek	0.149415
Klima	0.14916
Santer	0.148246
Kyprianou	0.148028
Wolfensohn	0.147623
Stroyev	0.147487
Diouf	0.14566
Kostov	0.145262
Alarcon	0.144908
Kuchma	0.144782
Khai	0.144172
Cem	0.143987
Gurirab	0.143323
"Pascoal Mocumbi"	0.142899
Biden	0.142859
Arens	0.142191
Karimov	0.141417
Shaath	0.141052
Insulza	0.140756
Pangalos	0.139791
Muoi	0.139399
Kavan	0.1385
al-Sahaf	0.138283
"de Charette"	0.138186
Kharrazi	0.13787
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.137748
Tsang	0.137702
Ruggiero	0.137333
Komura	0.137048
Allchin	0.136968
"Secretary General Esmat Abdul-Meguid"	0.136323
Westendorp	0.136264
Prewitt	0.13594
Cui	0.135355
Orban	0.13517
Mkapa	0.132251
Rodionov	0.131934
"Secretary General Esmat Abdel-Meguid"	0.131833
Izetbegovic	0.131413
"King Sihanouk"	0.131168
Surin	0.131086
Seleznyov	0.130895
Lari	0.130774
Kinkel	0.130327
Milo	0.130096
Shamshad	0.129763
Hamid	0.127939
Zeng	0.127494
Shevardnadze	0.127459
Aventajado	0.127417
"William S. Cohen"	0.12738
Berri	0.126852
Moratinos	0.12565
Mahdi	0.125506
Singson	0.125216
Saleh	0.125065
Strauss-Kahn	0.124847
"Speaker Ali Akbar Nateq-Nouri"	0.124134
Rawabdeh	0.124119
Duisenberg	0.124094
Akayev	0.123944
Hrawi	0.123583
Kato	0.12354
Nebiolo	0.122902
Massey	0.122054
Reinhardt	0.121953
"Khin Nyunt"	0.121902
Majali	0.121794
Axworthy	0.121768
Qiao	0.12137
Erekat	0.121015
Cianci	0.120593
McCurry	0.120404
Goldin	0.120202
Rakhmonov	0.120111
Maslyukov	0.119673
Prueher	0.119104
Nemtsov	0.119099
Ahern	0.118925
Kono	0.118626
Brundtland	0.118087
Ogata	0.11799
Chuan	0.117989
Sharansky	0.11758
"Valery Pustovoitenko"	0.117258
Banzer	0.117066
Yastrzhembsky	0.116958
Eizenstat	0.116921
"Krishna Prasad Bhattarai"	0.116673
Vialli	0.116658
Meles	0.116081
Hoss	0.116049
Ivanov	0.115734
Ikeda	0.115532
Salim	0.115323
Aziz	0.11513
Pickering	0.115097
Fino	0.115013
Grasso	0.114784
wen	0.114589
Soares	0.114547
Luong	0.114372
"Yuri Maslyukov"	0.114052
Severino	0.113884
Hasina	0.113668
Jing	0.113611
Lamberth	0.113586
Barshefsky	0.113363
"Faisal Husseini"	0.113321
Sha	0.113297
Kennard	0.113159
"Pete Holland"	0.113071
Modise	0.112759
Shi	0.112639
"Chief Executive Tung Chee-hwa"	0.112558
Ganzouri	0.112237
Zarb	0.112144
McGuinness	0.112091
Frei	0.112057
Sheehan	0.111771
Borodin	0.111659
Kerasiotes	0.111645
Buyoya	0.111599
Lipponen	0.111484
Murayama	0.111433
Tarawneh	0.111265
LeBlanc	0.111227
"Maung Aye"	0.111133
Nujoma	0.11109
"Salim Hoss"	0.110645
Dehaene	0.11028
Wenger	0.110248
"Prime Minister Banharn Silpa-Archa"	0.110214
Sassa	0.10995
"Xie Zhenhua"	0.109648
"Saudi King Fahd"	0.109641
Blatter	0.109567
D'Alema	0.109496
Tsvangirai	0.109435
Hiett	0.109305
Simitis	0.109037
Leung	0.109033
Eran	0.109013
Gutman	0.108864
Villar	0.10885
al-Sahhaf	0.108766
"Frederick Sumaye"	0.108694
Kessler	0.108481
Khalil	0.108062
Kumaratunga	0.108037
Gosper	0.108035
Scharping	0.107983
al-Hariri	0.107934
"Kim Yong Nam"	0.107735
Indyk	0.107412
Nickerson	0.107351
Zhirinovsky	0.107295
Sergeyev	0.107278
Koirala	0.107239
Xanana	0.106937
Kok	0.106915
Hamad	0.106899
Bhattarai	0.106684
Aguirre	0.106606
Xiang	0.106589
Kabariti	0.106561
Hanley	0.106542
Juppe	0.106059
Weizman	0.105918
Banharn	0.10529
Moscoso	0.104903
"De Soto"	0.104887
Bautista	0.104558
Levitt	0.104434
Barksdale	0.104312
Boutros-Ghali	0.104234
Talebi	0.104232
"Than Shwe"	0.104124
Narayanan	0.104051
Ben-Ami	0.10389
Berlusconi	0.103748
Chavalit	0.103561
"Defense William Cohen"	0.103456
Meng	0.103451
Moussa	0.103409
Muluzi	0.103321
Chiluba	0.103237
Angara	0.103216
Soyinka	0.103182
Luo	0.102982
"Phan Van Khai"	0.102733
Sampaio	0.102706
Rossello	0.102488
Goh	0.102209
Buhe	0.10212
Bolger	0.10192
"Boutros Boutros Ghali"	0.101903
Majko	0.101799
"Huang Ju"	0.101704
Yadav	0.101643
Childress	0.101455
Azizah	0.101186
Mowlam	0.101163
Erbakan	0.101057
Cooley	0.101017
Sharaa	0.100988
Mordechai	0.100952
Kulikov	0.100825
Shahak	0.100675
Ahtisaari	0.100648
"Bill Skate"	0.100211
))
("Bruton Smith" (desc 1266.47) (sims
"Ed Roski"	0.18693
"Jerry Reinsdorf"	0.141052
"Howard Milstein"	0.132665
"Mark Cuban"	0.127939
"Tom Hicks"	0.127121
"Frank Stronach"	0.117285
"Jerry Colangelo"	0.103314
"Richard Branson"	0.100322
"Joe Gibbs"	0.0977395
"Jerry Buss"	0.0915206
"Robert Kraft"	0.0912779
Rahal	0.0875168
"Eli Broad"	0.0871254
"John Henry"	0.0866769
"Peter Angelos"	0.0841145
"Barry Diller"	0.0840239
"Silvio Berlusconi"	0.0838635
"Vince McMahon"	0.0820328
"Rupert Murdoch"	0.0811437
"Ted Turner"	0.0793743
Harmoko	0.0792945
"Donald Trump"	0.0777647
"Marge Schott"	0.0742183
"Bob Kraft"	0.072827
"Arthur Levitt"	0.0712451
"Gianni Agnelli"	0.0710659
"Herb Kohl"	0.0702497
"Lucio Tan"	0.0686076
"Michael Dell"	0.068596
"A.J Foyt"	0.068131
"Al Davis"	0.0681033
"Bob Daly"	0.067971
"City Development"	0.0665041
"Bob McNair"	0.066086
"Mike Brown"	0.0656678
"Leon Hess"	0.0649016
"Daniel Snyder"	0.0635273
"Harvey Weinstein"	0.0634494
"Charles Dolan"	0.0627195
"Dan Miller"	0.0621099
"Sumner Redstone"	0.0618785
"Jerry Jones"	0.0606787
"Jack Gargan"	0.0601921
"Vladimir Gusinsky"	0.0599621
"National Grid"	0.0595588
Murdoch	0.0593033
"Hearst Corp."	0.059291
"dirt track"	0.0587855
"M. Douglas Ivester"	0.0562203
"Michael Eisner"	0.0552124
"Julian Bond"	0.0548017
"John Shalikashvili"	0.0546638
"William Randolph Hearst"	0.0541714
"Tina Brown"	0.0534969
"Tony Coelho"	0.0533355
"Bill Thomas"	0.0527941
"Jack Welch"	0.0527421
Berlusconi	0.0522233
"Paul Allen"	0.0522166
"Cyril Ramaphosa"	0.0520023
Gossage	0.0517493
"Clint Reilly"	0.0517025
"Tom Johnson"	0.0513397
"Tribune Co."	0.0511227
"Michael Ovitz"	0.0503917
"Gerald Levin"	0.0502656
"John Malone"	0.0500733
"Jeff Bezos"	0.0497249
"Roy Romer"	0.0494274
"Steve Case"	0.0491639
warrant@@	0.0491112
"Isiah Thomas"	0.0489264
"John D. Rockefeller"	0.0488805
"Jim Thomas"	0.0485887
"Nur Misuari"	0.0485886
"Orlando Mercado"	0.0482573
"Bud Selig"	0.0481568
"Wolfgang Schaeuble"	0.0481458
"Mario Lemieux"	0.0474689
"Stan Lee"	0.0474099
Aegon	0.0469722
"John Boehner"	0.0466386
"Klaus Naumann"	0.046594
"Porter Goss"	0.0465937
Gusinsky	0.046341
"Henry Ford"	0.0461563
"Mel Karmazin"	0.0458315
"Jim Nicholson"	0.045653
PITTS	0.0454899
Maktoum	0.0452778
"Ron Burkle"	0.0452013
"Desmond Tutu"	0.0451022
Waddell	0.0446131
"Amien Rais"	0.0444691
Rossotti	0.0442553
"James Sensenbrenner"	0.0442111
Peretz	0.0438143
AutoNation	0.043812
"Jack Smith"	0.0437454
Rothenberg	0.043594
"Dan Duquette"	0.0433072
"Marzuki Darusman"	0.0429918
Zarb	0.0428189
"Larry Flynt"	0.0426484
"Martin Frost"	0.0425729
Steinberg	0.042566
"Oskar Lafontaine"	0.042209
"Yegor Stroyev"	0.0419654
"Michel Platini"	0.0419121
"Tom Davis"	0.0418564
"Electronic Arts"	0.0414606
"Robert Aventajado"	0.0414387
"David Dreier"	0.0411463
"Hugh Shelton"	0.041081
"Bill Archer"	0.0410207
"Lee Hamilton"	0.0407896
"Don Young"	0.0404305
"Alexander the Great"	0.0403794
"WorldCom Inc."	0.0403555
"Drayton McLane Jr."	0.0401341
Idris	0.0401279
Sampson	0.0400705
"Gennady Seleznyov"	0.0400094
))
(Bryan (desc 7575.87) (sims
Biden	0.101432
Brian	0.0965449
Baucus	0.0910658
Feingold	0.0886219
Nicholas	0.0866673
McGrath	0.0834305
Carl	0.0834076
Beaumont	0.0821628
Lautenberg	0.0821464
Andrei	0.0783606
Hybl	0.0772028
Nacogdoches	0.0771127
Kettering	0.0770027
Lubbock	0.0769939
Cleland	0.0756989
Gullikson	0.0754692
"Corpus Christi"	0.0752192
Gary	0.0747023
Anthony	0.07428
Mansfield	0.0734592
Wyatt	0.0732555
Eric	0.0728162
Tyler	0.0727187
Gregory	0.072395
Jamie	0.0723199
Dodd	0.0722463
David	0.0721203
Greg	0.0715905
franklin	0.0713924
Eizenstat	0.0713766
Olsen	0.0713502
Ruehe	0.0711125
Moynihan	0.0706783
Wayne	0.0706496
Tim	0.0703813
Adam	0.0702065
Talebi	0.069699
Bobby	0.0695583
Harlingen	0.0691208
Jonathan	0.0685887
Carrollton	0.0683668
Longview	0.0681132
Leahy	0.0680059
Justin	0.0680006
Scott	0.0677482
Browne	0.0677305
Brody	0.067127
Paul	0.0670283
Colin	0.066869
Copeland	0.0666234
Kenny	0.0665869
Jeff	0.0665386
Christopher	0.0663922
McAllen	0.0663851
Hollings	0.0663714
Alan	0.066321
Steve	0.0659899
Kyle	0.0659528
"College Station"	0.0658429
Julian	0.0657146
"Dale Jr."	0.0655423
Fred	0.0655012
"New Braunfels"	0.0654306
Sykes	0.0651983
Rubenstein	0.0651922
Chris	0.0649766
Kevin	0.0649058
Steven	0.0648925
Finkel	0.0647606
douglas	0.0647271
Joseph	0.0646932
Hauser	0.064683
Michael	0.0646773
Keith	0.0645591
Jim	0.0645204
Amarillo	0.0644997
Daschle	0.0643704
"Round Rock"	0.0642546
Benjamin	0.0641982
Levin	0.0641466
Danny	0.0640358
Gimelstob	0.0640057
tom	0.0639601
Brad	0.063722
Denton	0.0637179
Rendell	0.0636834
Edgar	0.0636126
Walsh	0.0636111
"Eagle Pass"	0.0636043
Jimmy	0.063531
Zachary	0.0635234
Wyden	0.0630728
Kerrey	0.0629926
Cowan	0.0629264
Josh	0.062676
Bayh	0.0624043
Ted	0.0623386
timothy	0.0623004
Connor	0.0622722
jay	0.0621585
Gillespie	0.0619549
Brett	0.0618597
Robb	0.0617828
Gerald	0.0617162
Hayden	0.0616575
Montoya	0.0615885
Samuel	0.0615507
Gabriel	0.0615506
James	0.0615441
Daniel	0.0614447
Randy	0.0613439
Robert	0.0612793
Jeremy	0.0612548
Charlie	0.0611657
Clifton	0.0611306
Michel	0.0610663
mike	0.061017
Lim	0.060941
Jerry	0.060926
Rutherford	0.0609205
Barbara	0.0609153
Derek	0.060868
Harkin	0.0607977
"Wichita Falls"	0.0605716
Ron	0.0605513
Alex	0.0601434
Irving	0.0601176
Lloyd	0.0600954
Terry	0.060037
Daniels	0.06001
Shawn	0.0600045
Sam	0.0599805
Siripongs	0.0599565
Kenneth	0.0597615
Griffin	0.0595907
Joshua	0.0595846
Casey	0.0595066
Beverly	0.0594834
Brock	0.0594365
Larry	0.0594187
Reid	0.0593945
Rosenthal	0.059293
Jeffrey	0.0592794
Prewitt	0.0592656
Fraser	0.0592297
Peter	0.0591751
Toledo	0.0589506
Ian	0.0588915
"Patsy Ramsey"	0.0588393
John	0.0588081
Hagen	0.0587841
Richard	0.0584735
Joel	0.0584278
Meissner	0.058413
Morse	0.0580949
Pollack	0.0580324
Patrick	0.0578495
Wellstone	0.0578482
"Earnhardt Jr."	0.0578313
Troy	0.0578168
Brandon	0.0577151
Vincent	0.0575195
Feinstein	0.0575039
Conrad	0.0573278
Quincy	0.0569854
Killeen	0.0568333
Frank	0.0568007
Zuckerman	0.056573
Donald	0.0565026
Fernando	0.0564941
Siegel	0.0564717
Ebersol	0.0564232
matt	0.0563519
Ryan	0.0563094
Stephen	0.0562345
Charles	0.0562097
Bowden	0.0561235
Sherman	0.0559725
Berenson	0.0559585
Andrew	0.0559094
Vogel	0.0557654
Omar	0.0557034
Logan	0.0556764
Clayton	0.0555798
Silverman	0.0555429
Tian	0.0555294
Xenia	0.0553896
Maurice	0.0553601
George	0.0553543
Willie	0.0553217
Richardson	0.055127
Nickerson	0.055112
Schultz	0.0550569
Ponciano	0.0550279
collins	0.0550158
Keller	0.0549297
TALBOT	0.0549189
Weisman	0.0549093
Rick	0.054905
Silverstein	0.0548667
))
("Bryan Berard" (desc 1242.44) (sims
"Curtis Joseph"	0.163872
"Aki Berg"	0.147056
"Jyrki Lumme"	0.135288
"Garry Galley"	0.133654
"Sandis Ozolinsh"	0.124314
"Lyle Odelein"	0.123718
"Ken Daneyko"	0.11775
"Dave Manson"	0.114656
"Steve Duchesne"	0.11344
"Mats Sundin"	0.109939
"Steve Thomas"	0.108272
"Marty McSorley"	0.108228
"Fredrik Olausson"	0.107144
"Mattias Norstrom"	0.106514
"Alexei Zhitnik"	0.1062
"Mathieu Schneider"	0.106155
"Brian Leetch"	0.106038
"Yanic Perreault"	0.105836
"Darren Van Impe"	0.103879
"Darryl Sydor"	0.101814
"Larry Murphy"	0.101161
"Doug Bodger"	0.100852
"Vladimir Malakhov"	0.100193
"Scott Niedermayer"	0.0994231
Roenick	0.0993288
"Don Sweeney"	0.0992179
"Al MacInnis"	0.0987487
Daigle	0.0986615
"Ulf Samuelsson"	0.0982516
Duchesne	0.097769
Samuelsson	0.0974901
"Oleg Tverdovsky"	0.0964668
"Sean O'Donnell"	0.0961359
"Chris Pronger"	0.0960655
"Teppo Numminen"	0.0958806
"Shawn Chambers"	0.0948185
"Tracy McGrady"	0.093522
"Wendel Clark"	0.0929114
"Ray Bourque"	0.0928223
"Craig Ludwig"	0.0925154
"Hal Gill"	0.090766
"Kyle McLaren"	0.0904407
"Paul Coffey"	0.0902852
"Ron Francis"	0.087992
Leetch	0.0877044
"Doug Gilmour"	0.0846861
"Richard Matvichuk"	0.0846433
"Cliff Ronning"	0.0844672
"Sergei Zubov"	0.0842844
"Alan Henderson"	0.0831508
"Randy Myers"	0.0820113
"Peter Forsberg"	0.0819364
"Steve Smith"	0.0812428
"Todd Harvey"	0.080795
"Jermaine O'Neal"	0.0803319
"Rob Blake"	0.0792547
"Travis Green"	0.0780204
"Nicklas Lidstrom"	0.0775545
"Olli Jokinen"	0.0765295
"Ray Ferraro"	0.0755687
Reichel	0.0753713
"Chris Chelios"	0.0749318
"Tim Thomas"	0.0748479
"Scott Stevens"	0.0742618
"Paul Kariya"	0.0742467
"Charles Oakley"	0.0735934
"Robert Reichel"	0.0731494
"Rob Ducey"	0.0713811
"Doug Christie"	0.0712169
Berard	0.070885
Sundin	0.0708197
"Stan Collymore"	0.0707889
"Mookie Blaylock"	0.0699122
"Clint Mathis"	0.0697654
"Ziggy Palffy"	0.0695553
"Felix Potvin"	0.0695407
"Kenyon Martin"	0.0689725
"Bobby Orr"	0.068671
Fleury	0.0679007
"Jeremy Roenick"	0.0676562
"Jozef Stumpel"	0.0674888
"Kevin Willis"	0.0670659
"Patrick Kluivert"	0.0668532
Kluivert	0.0666839
Laperriere	0.0666216
LeClair	0.0658461
Smolinski	0.0658071
"Brian Rolston"	0.0655397
"three pitchers"	0.0647765
"Mikhail Shtalenkov"	0.0645499
"Geoff Sanderson"	0.0644763
"Alexander Mogilny"	0.064381
"Derian Hatcher"	0.064046
"Nick Anderson"	0.0637551
Baerga	0.0636955
"Raul Diaz Arce"	0.0633293
Counsell	0.063233
"Dale Hunter"	0.0630698
defenseman	0.0627625
"Jim Harbaugh"	0.0621862
Lacroix	0.0618594
"Joe Nieuwendyk"	0.0617476
"Antonio Davis"	0.0611809
"Hao Haidong"	0.0611116
"Everett McIver"	0.0603956
"Donyell Marshall"	0.0603152
Veras	0.060079
Audette	0.0600763
Robitaille	0.060004
LaPointe	0.0597747
"Alexei Yashin"	0.0595672
"Christian Laettner"	0.0595664
Mendez	0.059336
Laettner	0.0592059
Lindros	0.0591638
Barrasso	0.059077
"ZIGMUND PALFFY"	0.0586892
"Golden Hurricane"	0.0586164
Larsson	0.0585547
"Theo Fleury"	0.058026
"Ruben Mateo"	0.0579058
"Ian Laperriere"	0.0577058
"David Segui"	0.0576988
"Bill Guerin"	0.0576982
"Pedro Borbon"	0.0576325
Najera	0.0574079
"Donald Audette"	0.0573262
"Joe Smith"	0.0571552
"Brad Miller"	0.0569904
"Jayson Williams"	0.0569342
Fedorov	0.0568717
"Grant Marshall"	0.0568643
"Luc Robitaille"	0.0568587
Ceballos	0.0566311
"Trent Green"	0.0565847
Konerko	0.0565237
"Keith Jones"	0.0565152
Stumpel	0.0562574
"Chris Drury"	0.0561147
"Sam Clancy"	0.0560604
Tverdovsky	0.0560256
"Bryant Young"	0.0560127
"Manny Legace"	0.0558495
"Leon Johnson"	0.0558385
"Billy Taylor"	0.0556506
Briere	0.0555223
"Homer Bush"	0.0554993
"Woody Williams"	0.0552175
"Marcelo Salas"	0.0551353
"Scotty Bowman"	0.0550841
Khristich	0.0548742
Chara	0.0547849
"Alessandro Del Piero"	0.054372
Harbaugh	0.0541598
"Dale Davis"	0.0540701
Asprilla	0.0539854
"Antawn Jamison"	0.0537826
Legace	0.0536684
"Brad Ausmus"	0.0535334
"Paul Caligiuri"	0.053331
"David Wesley"	0.0533001
Knievel	0.0532971
"Paul Spoljaric"	0.0531528
"Eric Snow"	0.0531349
"Sam Cassell"	0.0531326
"Ike Austin"	0.0531151
"Hu Weidong"	0.0530202
Kazhegeldin	0.0529788
"Anson Carter"	0.0529037
"Dave Andreychuk"	0.052894
"rock climber"	0.0528587
Hallam	0.0528499
Lobo	0.0527946
"Ozzie Guillen"	0.0527287
"Bryan Smolinski"	0.052636
Andreychuk	0.0526342
"Corliss Williamson"	0.0525622
Renteria	0.0524966
"ball club"	0.0524611
Gorter	0.0524462
"Elden Campbell"	0.0522634
Gatling	0.0522437
"Joe Sakic"	0.0522373
"Keith Van Horn"	0.0522014
Mashburn	0.0521954
"shipwreck survivor"	0.0521349
Grahame	0.0520922
"Peter Bondra"	0.0519807
PRONGER	0.0519089
"Vincent Damphousse"	0.0518984
"Jesse Orosco"	0.0518325
Tatis	0.0518063
Brazill	0.0517377
"Hersey Hawkins"	0.0516795
Demjanjuk	0.051461
"Sang Lan"	0.0513879
"Jeff Agoos"	0.0511639
"Thurman Thomas"	0.0511382
"GERONIMO BERROA"	0.0511213
"Pavel Bure"	0.0511015
))
("Bryan Cox" (desc 1769.01) (sims
"Mo Lewis"	0.216691
"Aaron Glenn"	0.200948
"Pepper Johnson"	0.192822
"Curtis Martin"	0.17353
"Jumbo Elliott"	0.16361
"Keith Byars"	0.162408
"Wayne Chrebet"	0.157585
"Keyshawn Johnson"	0.145774
"Derrick Thomas"	0.144
"Leon Johnson"	0.143422
"Zach Thomas"	0.142895
"Sam Gash"	0.139831
"Jessie Armstead"	0.139399
"Glenn Foley"	0.125272
"Chris Claiborne"	0.118226
"Chad Brown"	0.117182
"Mike Jones"	0.115216
Chrebet	0.113836
"Dedric Ward"	0.113592
"Cornelius Bennett"	0.107466
"Lawrence Taylor"	0.10445
"Ray Lucas"	0.103818
"Vinny Testaverde"	0.0930685
"Dat Nguyen"	0.0924075
"Bill Romanowski"	0.0870646
"Otis Smith"	0.0854378
Testaverde	0.0833426
"Henri Crockett"	0.08184
"LaVar Arrington"	0.0816753
"Andy Katzenmoyer"	0.0810145
"Jamir Miller"	0.0801574
"Ryan Nece"	0.0800147
"Tony White"	0.0799479
"Quentin Coryatt"	0.0792042
"Chris Slade"	0.0784846
"Keith Brooking"	0.0781593
"Ray Lewis"	0.0780542
Romanowski	0.0778626
Flutie	0.0776629
"Al Groh"	0.0771967
"Tom Tupa"	0.0769637
Cox	0.0751075
"Bill Belichick"	0.0746944
"Ted Johnson"	0.0726369
"John Lynch"	0.071675
"Dexter Coakley"	0.071044
Katzenmoyer	0.0706097
"Randall Godfrey"	0.0698819
"Jessie Tuggle"	0.0698463
"Dimitrius Underwood"	0.0662956
Spielman	0.0657097
"Tedy Bruschi"	0.0655603
"Darrin Smith"	0.0653773
"John Hall"	0.064329
"Randall Cunningham"	0.0639822
"Rick Mirer"	0.0629711
Godfrey	0.0606909
Ainge	0.057828
"Robert Thomas"	0.0568483
"Joe Lockhart"	0.0558169
Olbermann	0.0554769
"Todd Collins"	0.0550135
"Michael Wiley"	0.0544644
"line coach"	0.0537794
Eizenstat	0.053496
Autissier	0.0528958
Swanson	0.0521599
"Steve Beuerlein"	0.051649
"Joe Namath"	0.0507616
"Bill Parcells"	0.0507584
Groh	0.0495195
alicia	0.0493587
Diggs	0.0489643
Wannstedt	0.0489488
Geiger	0.0488572
"John Collins"	0.0487548
"Dorsey Levens"	0.0485924
"Doug Flutie"	0.0479735
Mirer	0.0478654
Ruehe	0.047305
Ohlmeyer	0.0472277
Cavanaugh	0.04696
Soyinka	0.0469425
Ruggiero	0.0468025
Arrington	0.0466724
Jaffe	0.046488
Rutledge	0.0463749
"Jason Fabini"	0.0462504
"Chris Palmer"	0.0461788
Fassel	0.0459505
"Richard Williams"	0.0457773
"Stan Collymore"	0.0454656
Tuggle	0.045136
"JEVON KEARSE"	0.0448771
"Warren Sapp"	0.0446326
"Roy Williams"	0.044547
"Rich Brooks"	0.0444654
Whalen	0.0442136
Peyton	0.0441292
D'Alessandro	0.044119
Switzer	0.0440867
Esrey	0.0437275
Ciampi	0.042963
Laudrup	0.0428467
"Cris Carter"	0.0428147
Marvin	0.0427886
Kearse	0.0426232
Nguyen	0.042452
Tupa	0.0421214
"Bruce Matthews"	0.042084
Baines	0.0420594
"John Avery"	0.0418802
"Jason Sehorn"	0.0418711
Ikimi	0.0418038
Hendrickson	0.0416203
"Curtis Enis"	0.0415944
"Mark Tuinei"	0.0415538
"two @@-year-olds"	0.0414104
"McCaughey Ross"	0.0413925
"Brian Williams"	0.0412566
Zambrano	0.0411862
Meguid	0.0409133
Komura	0.0408167
Zimmer	0.0408048
"Tom Kelly"	0.0407835
Manley	0.0405189
Smyers	0.0405031
Hazelwood	0.0402794
"Mike Krzyzewski"	0.040248
Gorter	0.0400945
Dewine	0.0400433
))
("Bryan Herta" (desc 1645.77) (sims
"Dario Franchitti"	0.286456
"Paul Tracy"	0.272476
"Jimmy Vasser"	0.222697
"Juan Montoya"	0.213454
"Max Papis"	0.194791
"Al Unser Jr."	0.193414
"Michael Andretti"	0.189177
"Christian Fittipaldi"	0.188571
"Greg Moore"	0.184289
"Ricky Craven"	0.167342
"Robby Gordon"	0.166916
"Bobby Rahal"	0.145455
"Kenny Brack"	0.143118
"Alex Zanardi"	0.140982
"Mario Andretti"	0.135217
"Ernie Irvan"	0.130575
"Scott Pruett"	0.117973
"Kenny Irwin"	0.117354
"Billy Boat"	0.112014
"Greg Ray"	0.111814
Villeneuve	0.106859
"Adrian Fernandez"	0.10546
"Tony Stewart"	0.102006
Herta	0.0997799
"Ward Burton"	0.0991887
"MIka Hakkinen"	0.0989028
"Juha Kankkunen"	0.0969541
"Arie Luyendyk"	0.0969322
Longo	0.0969113
"Damon Hill"	0.095961
"Jacques Villeneuve"	0.0918821
"Heinz-Harald Frentzen"	0.0918105
"Wally Dallenbach"	0.0911595
"Sam Schmidt"	0.0909687
"Didier Auriol"	0.0900344
"Rusty Wallace"	0.0893216
Zanardi	0.087392
"Kyle Petty"	0.0861534
Franchitti	0.084122
"Ken Schrader"	0.0831277
"Rubens Barrichello"	0.0829866
"Todd Bodine"	0.0804522
Makinen	0.0800142
Sainz	0.0795209
"Ralf Schumacher"	0.0794945
"Sterling Marlin"	0.0791864
"Colin McRae"	0.0784728
"Michael Schumacher"	0.0770711
Samuelson	0.0769499
"Bobby Labonte"	0.0765985
"David Coulthard"	0.0749533
Montoya	0.0748522
"Ricky Rudd"	0.0745074
"Kevin Lepage"	0.0742963
"Eddie Irvine"	0.0739446
"Eddie Cheever"	0.0725711
"Dale Jarrett"	0.0725303
"Johnny Benson"	0.0720963
"Carlos Sainz"	0.0708605
"Jeff Gordon"	0.0708144
"Scott Sharp"	0.070321
"Bjarne Riis"	0.0694321
"Tom Presthus"	0.0690914
"Matt Kenseth"	0.0685194
Unser	0.0682552
Coulthard	0.06817
"Blaine Wilson"	0.067335
Kealy	0.0666257
"Jeremy Mayfield"	0.0663652
Schumacher	0.0658584
Hornaday	0.0644105
Irvan	0.0638063
"Mika Salo"	0.0634527
"Mike Skinner"	0.062558
"Jerry Nadeau"	0.0624359
"Tommi Makinen"	0.0622222
Biffle	0.0621433
"Michael Waltrip"	0.0620114
"Chris Boardman"	0.0615256
"Earnhardt Jr."	0.0612772
"Dale Earnhardt"	0.0612028
"Richard Burns"	0.0608745
"Jeff Burton"	0.0607207
"Rintje Ritsma"	0.0605682
"Jason Garrett"	0.060368
"Buckshot Jones"	0.0602291
Hakkinen	0.0597302
"Michael Doohan"	0.0589707
Suker	0.058748
"Adam Petty"	0.0586601
"Darrell Waltrip"	0.0586055
"Ryan Kealy"	0.0572406
Devers	0.0568921
Venables	0.0568143
Akers	0.0568038
"Steve Park"	0.0564355
McRae	0.0556827
"Maria Butyrskaya"	0.0554148
Pruett	0.0553925
"John Andretti"	0.0549494
Morceli	0.0547296
Boardman	0.0543526
"Elliott Sadler"	0.0542683
Labonte	0.0542592
"Lu Yufu"	0.0540829
Waltrip	0.0539246
Asprilla	0.0537674
Lieberthal	0.0536357
"Gus Frerotte"	0.0530423
Maier	0.0525338
Daylami	0.0522395
"Dale Earnhardt Jr."	0.0520159
"Bobby Hamilton"	0.0516872
"El Guerrouj"	0.0516229
"Joe Nemechek"	0.0515153
Atletico	0.051243
"Alexei Urmanov"	0.0512195
Heredia	0.050983
"Gary Brown"	0.0507018
Krayzelburg	0.0505637
Bayern	0.0503849
"Jeff George"	0.0503289
Smitherman	0.0502861
"Geoffrey Bodine"	0.0501539
"Anjelika Krylova"	0.0501339
"Van Roost"	0.0501293
"Horned Frogs"	0.0501095
"Mark Martin"	0.0499869
Mabry	0.0495686
"Mike Vernon"	0.0493851
Capel	0.0493681
Dilfer	0.0491205
"Lasse Kjus"	0.0491083
"Steve Beuerlein"	0.0490908
"Claudia Pechstein"	0.0490434
Gustafsson	0.0489957
"Tom Dolan"	0.0489256
"Bill Elliott"	0.0488339
Earnhardt	0.0486897
"Yankee Clipper"	0.0482806
"Yu Zhuocheng"	0.0482082
"Grant Hackett"	0.0478509
Cloude	0.0477913
Julich	0.0477378
"Warren Moon"	0.04773
"Trent Dilfer"	0.0477032
"Le Jingyi"	0.0475662
"Jim Harrick"	0.0475102
Schoeneweis	0.0474684
Fizer	0.0473797
Rahal	0.047229
Szabo	0.0470952
"Joe Montana"	0.0470897
Solis	0.0470741
"Dale Jr."	0.0466473
"Hermann Maier"	0.0465436
Zabel	0.0465432
Popov	0.0463608
Ottey	0.046318
Mlicki	0.0463065
Klim	0.0462987
"Amy van Dyken"	0.0460387
apparatchiks	0.0459826
Millwood	0.0459784
"Scott Goodyear"	0.0458956
Razorback	0.045672
"Jeff Ward"	0.0454858
"Liu Limin"	0.0452839
"Simona Amanar"	0.0451619
"Tara Snyder"	0.0450936
"Terry Labonte"	0.0450548
"Danny Kanell"	0.0450392
"Jeremy Wotherspoon"	0.0450362
Independiente	0.0447463
Kamensky	0.044721
"Everett McIver"	0.0446759
"Slavia Prague"	0.0445631
"point system"	0.044501
"Todd Husak"	0.044477
"Chris Carrawell"	0.0443181
"Tyler Hamilton"	0.0438241
"Brad Johnson"	0.0437788
Anglo-Saxon	0.0437339
"Terry Bradshaw"	0.0436476
Obilic	0.0436141
"Chen Lu"	0.0435595
"Pudge Rodriguez"	0.0433977
Rueter	0.0433569
"John Godina"	0.0433248
"Derrick Thomas"	0.0433078
Kilborn	0.0433011
Renteria	0.0432674
McCormack	0.0431835
"Byron Hanspard"	0.0431374
Nicol	0.0430126
Rosenblatt	0.0429984
"Islamic Salvation Front"	0.0429935
Artax	0.0429765
"Bryant Young"	0.0429159
"Li Na"	0.042897
))
("Bryan Smolinski" (desc 2640.21) (sims
"Jozef Stumpel"	0.362451
"Donald Audette"	0.313728
"Luc Robitaille"	0.262025
"Olli Jokinen"	0.242923
"Vladimir Tsyplakov"	0.233126
"Glen Murray"	0.232629
"Ian Laperriere"	0.225488
"Sean O'Donnell"	0.216923
Stumpel	0.213637
"Ray Ferraro"	0.212882
"Craig Johnson"	0.212613
"Yanic Perreault"	0.19913
Smolinski	0.190462
"Rob Blake"	0.18446
"Mattias Norstrom"	0.181198
"Ziggy Palffy"	0.164612
Audette	0.163931
"Cliff Ronning"	0.152073
"ZIGMUND PALFFY"	0.152015
"Stephane Fiset"	0.151364
"Jamie Storr"	0.144573
"Ron Francis"	0.14353
"Robert Reichel"	0.142161
"Garry Galley"	0.141494
"Doug Bodger"	0.128503
Robitaille	0.121351
Palffy	0.118237
"Bob Corkum"	0.113267
"Manny Legace"	0.106615
"Steve Duchesne"	0.105923
"Aki Berg"	0.102499
"Scott Thornton"	0.0971545
"Petr Nedved"	0.0962423
"Nelson Emerson"	0.0903085
"Pierre Turgeon"	0.0901145
"Greg Adams"	0.0894357
"Curtis Brown"	0.0890418
"Aaron Gavey"	0.0877151
"Michael Peca"	0.0856344
Cullen	0.0854734
"Doug Gilmour"	0.083926
"Travis Green"	0.0837693
"Rick Tocchet"	0.0818248
"Vitaly Potapenko"	0.0814078
"Chris Mihm"	0.0811581
"Tim Taylor"	0.0807827
"Olden Polynice"	0.0799149
Rucchin	0.0790804
"Jennifer Gillom"	0.0789286
"Joe Sakic"	0.0780724
"Dale Hunter"	0.0770447
"Grant Marshall"	0.0759684
Reichel	0.0754607
"Manny Malhotra"	0.0745879
"Tony Hrkac"	0.0735154
Jonsson	0.0733169
"Mike Sullivan"	0.073218
"Jeremy Roenick"	0.0732122
"Steve Yzerman"	0.0728833
"Keith Primeau"	0.0724957
"Joe Juneau"	0.0723815
"Jaromir Jagr"	0.0719221
"Brad Miller"	0.0718295
"Sergei Fedorov"	0.0715604
"Adam Oates"	0.0714366
Blake	0.0714053
Bure	0.0713531
"Steve Rucchin"	0.0709591
"Scot Pollard"	0.0707085
"Benoit Hogue"	0.0696581
"Tommy Salo"	0.0693611
"Yao Ming"	0.0693235
"Landon Wilson"	0.0692513
"Nikolai Khabibulin"	0.0691496
"Derek Plante"	0.0680228
"Igor Larionov"	0.0676475
"Rony Seikaly"	0.067564
"Ted Donato"	0.0670163
"Greg Ostertag"	0.0667886
Nedved	0.066422
"Mike Modano"	0.0663885
Laperriere	0.0660844
"Vlade Divac"	0.0660741
Fizer	0.0660637
"Kevin Stevens"	0.0659942
"Mats Sundin"	0.0659328
"Geoff Sanderson"	0.0658104
Sundin	0.0657539
"Chris Drury"	0.0657316
"Olaf Kolzig"	0.0656606
"Raef LaFrentz"	0.0655499
"Derrick Coleman"	0.065547
Daigle	0.0654237
"Joe Nieuwendyk"	0.0643285
"Vincent Damphousse"	0.0642304
"Mark Stepnoski"	0.0640575
"Horace Grant"	0.0639362
"Bobby Holik"	0.0637167
"Keith Tkachuk"	0.0629845
"Jermaine O'Neal"	0.0629785
"Yolanda Griffith"	0.0629747
"John LeClair"	0.0627674
"Doug Weight"	0.0627456
"Lisa Leslie"	0.0626479
"Dave Andreychuk"	0.0626439
Andreychuk	0.0626213
"Jake Voskuhl"	0.0625386
"Matt Geiger"	0.0615189
"Guy Carbonneau"	0.0614143
"Joe Thornton"	0.0610937
"Peter Bondra"	0.060993
"Wang Zhizhi"	0.0606171
Neely	0.0604938
"Joe Kleine"	0.0601241
"Chris Taylor"	0.0601205
"Oliver Miller"	0.0600593
MacInnis	0.0600571
"Mark Messier"	0.0596994
"Peter Forsberg"	0.0596877
"Paul Kariya"	0.059563
"Chris Anstey"	0.059287
"Scott Gomez"	0.0590357
"Mathieu Schneider"	0.0589931
"Patrik Stefan"	0.0589714
Primeau	0.0588049
"Kenyon Martin"	0.0586108
Kariya	0.058363
"Ike Austin"	0.0577713
"Herb Williams"	0.0576015
"Juha Ylonen"	0.0571322
"Felix Potvin"	0.0570244
"Kevin Willis"	0.0569469
"Theo Fleury"	0.0568301
"Petr Sykora"	0.0567931
"Jason Allison"	0.056725
Zamorano	0.0566366
Selanne	0.0561318
"Arvydas Sabonis"	0.0560543
"Brian Skrudland"	0.0558868
"Donyell Marshall"	0.055821
Storr	0.0556851
Lacroix	0.0556733
"Jason Arnott"	0.0556717
"Sean Rooks"	0.055668
"Nick Anderson"	0.0556406
"Todd MacCulloch"	0.0552806
"Alexei Kovalev"	0.0550307
"Travis Knight"	0.0549285
Leetch	0.0540306
Woolley	0.0539703
"Adam Deadmarsh"	0.0539502
"Shawn Bradley"	0.0535786
Counsell	0.0533736
"Kenny Thomas"	0.0532115
"Natalie Williams"	0.0532044
"Matt Luke"	0.0529468
Hendrickson	0.0528579
"Steve Heinze"	0.052791
"Bryan Berard"	0.052636
Langenbrunner	0.0525804
"Pavol Demitra"	0.0524725
"Dmitri Khristich"	0.052399
Lieberthal	0.0523521
Sakic	0.052294
Najera	0.0522771
"Sergei Samsonov"	0.0522753
"Eric Lindros"	0.052057
"Theo Ratliff"	0.0519985
"Brian Scalabrine"	0.0515878
Modano	0.0513444
"John Salley"	0.0513325
"Todd Harvey"	0.0512379
"Luis Hernandez"	0.0512248
"Brian Rolston"	0.0511811
Artest	0.0511784
"Bobby Phills"	0.0511176
"Teppo Numminen"	0.051108
Lawler	0.0510052
"Teemu Selanne"	0.0509569
Mihm	0.0505633
"Jere Lehtinen"	0.0504043
"David Robinson"	0.0503647
"Rich Becker"	0.0503369
"Kelvin Cato"	0.0501533
"Al MacInnis"	0.0501059
Yashin	0.0499061
Asprilla	0.0496561
"Wayne Gretzky"	0.0495053
Samuelsson	0.0494924
Longley	0.0494897
"Brenden Morrow"	0.0492935
"Darryl Sydor"	0.0492257
"Adam Graves"	0.0491597
Nieuwendyk	0.0490024
"Luc Longley"	0.0486257
"Marcus Fizer"	0.0484818
"Michael Olowokandi"	0.0483565
"Ken Belanger"	0.0481933
"Chris Osgood"	0.0481816
Fedorov	0.0480742
))
(Bryant (desc 29566.1) (sims
"Kobe Bryant"	0.22445
O'Neal	0.181408
"Robert Horry"	0.158174
"Derek Fisher"	0.157514
"Rick Fox"	0.146858
Iverson	0.142917
Horry	0.140514
Hardaway	0.139093
Sprewell	0.136506
Pippen	0.134305
"Glen Rice"	0.133608
duncan	0.132078
"Shaquille O'Neal"	0.13133
"Ron Harper"	0.128179
MARBURY	0.127642
Ewing	0.127532
Barkley	0.121057
"A.C. Green"	0.115774
Payton	0.114041
Malone	0.112547
"Brian Shaw"	0.112281
Webber	0.108672
Robinson	0.107123
Kukoc	0.104958
Johnson	0.102745
"Van Horn"	0.100235
Kidd	0.100074
Harper	0.0994113
Aikman	0.0963158
Szczerbiak	0.0960935
"Tim Duncan"	0.0959965
"Allan Houston"	0.0959188
Anderson	0.0958308
Williams	0.0953251
Garnett	0.0951701
"Latrell Sprewell"	0.0944672
"Derek Harper"	0.0944317
Odom	0.0931797
"J.R Reid"	0.093108
Miller	0.0924773
Rodman	0.0923605
"Eddie Jones"	0.0920348
Plummer	0.0915663
Francis	0.0914719
Smits	0.091286
fisher	0.0911391
"Scottie Pippen"	0.0902735
"Reggie Miller"	0.0899359
Olajuwon	0.0897021
Jones	0.0883052
Camby	0.0882534
Carter	0.0881503
Cassell	0.0878768
"Toni Kukoc"	0.0878075
"Patrick Ewing"	0.0871514
Jackson	0.0869198
Cleaves	0.0858256
Wallace	0.0857702
smith	0.0854429
Shaq	0.0847862
Swoopes	0.0847493
Davis	0.084608
El-Amin	0.0839505
Soward	0.0833577
Elliott	0.0830143
"Vin Baker"	0.0822283
Glover	0.0817489
Stoudamire	0.0814551
Elway	0.0814472
Cooper	0.0812218
"Allen Iverson"	0.0811056
"Elden Campbell"	0.0808505
Testaverde	0.0805942
Sabonis	0.0800068
Pierce	0.0797871
Kobe	0.0791664
Gretzky	0.0791338
"Larry Johnson"	0.0791222
"Marcus Camby"	0.0788924
"Alonzo Mourning"	0.0785505
Finley	0.0785283
Stockton	0.0783968
Knoblauch	0.0780456
Allen	0.0780083
"Jason Kidd"	0.0778352
Shaw	0.0777271
Irvin	0.0775625
Garciaparra	0.0773441
"Grant Hill"	0.0773272
"Travis Knight"	0.0771795
Taylor	0.0771467
Sanders	0.0771174
Vaughn	0.0770192
Kemp	0.0765233
Fizer	0.0764436
Thompson	0.0762895
Chamberlain	0.0762679
"Karl Malone"	0.0762001
"Gary Payton"	0.0761167
McGwire	0.0760745
"Penny Hardaway"	0.0760707
Webb	0.0760153
Croshere	0.0757384
walker	0.0757364
"Van Exel"	0.0755722
Kittles	0.0753258
Hornacek	0.0752415
Holdsclaw	0.0751646
Duval	0.0750727
Langdon	0.0749198
"Charles Barkley"	0.0747722
Moore	0.0738954
Jagr	0.073626
"Chris Webber"	0.0735687
Watson	0.0734785
"Vince Carter"	0.0730692
WARRICK	0.0730226
McDyess	0.072918
Modano	0.0728506
Gomez	0.0727892
Gugliotta	0.0727595
Hernandez	0.0725651
Thomas	0.0724149
Faulk	0.0722291
Ripken	0.0722279
Muoneke	0.0721708
Marino	0.07182
Bledsoe	0.0718094
Chandler	0.0718024
Flutie	0.0717654
Hamm	0.0715662
Cato	0.0714814
Artest	0.0714045
Mobley	0.0714042
"David Robinson"	0.0711581
Griffey	0.0711469
Mitchell	0.0711219
Rodriguez	0.0711077
martin	0.0707912
Stewart	0.0707757
"John Stockton"	0.0707517
"Dennis Rodman"	0.0704956
"Jalen Rose"	0.0704725
Palmer	0.070368
Hamilton	0.0702907
Mullin	0.0702779
Ronaldo	0.0702295
Coleman	0.0702024
Hundley	0.0701695
Mihm	0.0701526
Mashburn	0.0700358
Piazza	0.0700166
knight	0.0697963
mourning	0.0697626
Blake	0.0697085
Lewis	0.0696391
Nowitzki	0.069605
Martinez	0.0692583
Elie	0.0689731
Weinke	0.0689618
"Rik Smits"	0.0687624
Lakers	0.0687051
Baker	0.068689
"Stephon Marbury"	0.0686887
Brandon	0.0685756
Ceballos	0.0684743
"Maurice Taylor"	0.0683123
Lopez	0.0681628
Hasek	0.067945
Alomar	0.067885
Torre	0.06778
Bourque	0.067773
murphy	0.0677237
Lindros	0.0676352
"Hakeem Olajuwon"	0.0675288
"Charlie Ward"	0.067523
Perez	0.0675106
McNair	0.0674685
Richardson	0.0674042
Olowokandi	0.0672761
"Nick Van Exel"	0.0670374
Wells	0.0670175
McGrady	0.0668061
Murray	0.0667761
Clark	0.0667761
Daly	0.0667458
Laettner	0.0664074
Reid	0.0663696
Rogers	0.0663475
Romario	0.0663027
Gonzalez	0.066153
"Mark Jackson"	0.0660832
Duchesne	0.0659877
Avery	0.0656693
Wright	0.0656422
"Mateen Cleaves"	0.065641
Brooks	0.0656326
Alou	0.0654895
Campbell	0.0654744
"Tim Hardaway"	0.065474
))
("Bryant Gumbel" (desc 4157.95) (sims
GUMBEL	0.134719
"Charles Gibson"	0.119184
"Chris Berman"	0.118136
"Matt Lauer"	0.113559
"Katie Couric"	0.113038
"Lou Dobbs"	0.104655
"David Letterman"	0.0994217
"Kathie Lee Gifford"	0.0980289
"Jay Leno"	0.0899349
"Bob Costas"	0.085916
"Laura Schlessinger"	0.0822813
"Walter Cronkite"	0.0820223
"Regis Philbin"	0.0819678
"Jon Stewart"	0.0815361
"Diane Sawyer"	0.0775281
"Ted Koppel"	0.077178
"Dick Clark"	0.0764797
"Early Show"	0.0754188
"Phil Donahue"	0.0752131
"Larry King"	0.0738825
"Conan O'Brien"	0.0737905
"Phil Simms"	0.0728302
"Don Imus"	0.0719078
"Dan Rather"	0.0696533
"Ed McMahon"	0.068422
"Geraldo Rivera"	0.0677392
"Tom Brokaw"	0.0672848
"Jenny Jones"	0.0672533
"Johnny Carson"	0.0659579
"Peter Jennings"	0.0659485
"Oprah Winfrey"	0.0649439
"Mike Wallace"	0.0631959
"David Spade"	0.0628001
Imus	0.0626523
"Barbara Walters"	0.0623626
"Diane Keaton"	0.0618276
Russert	0.0616801
"Brian Williams"	0.0612509
"Jim Harrick"	0.0607524
"Joan Rivers"	0.0602831
"Keith Olbermann"	0.0597303
"Frank Gifford"	0.0582923
Letterman	0.0566104
"Al Michaels"	0.0561463
Paciello	0.0559192
"Bora Milutinovic"	0.0547665
"Carol Burnett"	0.0546498
"Leonardo DiCaprio"	0.0544845
"Howard Stern"	0.0542572
"Sela Ward"	0.0535476
"David Frost"	0.0529691
"Dennis Miller"	0.0529432
O'Donnell	0.0526915
"Garry Shandling"	0.0525493
"Tom Selleck"	0.0522456
"Eric Cantona"	0.0517544
Wil	0.0516184
Soyinka	0.0512522
"Magic Johnson"	0.0509242
"Don Shula"	0.0507507
Debra	0.0502235
"Marv Albert"	0.0499081
"Jamie Lee Curtis"	0.04989
"Nathan Lane"	0.0497564
Cosby	0.0493507
"Ruud Gullit"	0.0490435
Leno	0.0490379
"Whoopi Goldberg"	0.0486126
"Rosie O'Donnell"	0.048171
"Rush Limbaugh"	0.0477285
"Sidney Poitier"	0.0477284
Gauthier	0.0470926
"Bill Maher"	0.0469782
Modell	0.0467512
"Billy Crystal"	0.0465572
Faget	0.0463497
Klima	0.0462376
Azad	0.0460083
"Vin Scully"	0.046001
"Jerry Springer"	0.0458162
Moratinos	0.0457493
"Vernon Jordan"	0.0456622
"Sarah Jessica Parker"	0.0455153
"Ian Holm"	0.0455076
Verney	0.0453079
"George Clooney"	0.045278
Philbin	0.0452253
"James Brown"	0.0450722
"Steve Allen"	0.0446768
Niyazov	0.0446664
"Alan Keyes"	0.0445642
"Dustin Hoffman"	0.0443971
Ishihara	0.0443121
"Phil Jackson"	0.0442482
"Jim Lehrer"	0.0441866
"Jimmy Smits"	0.0441002
Roseanne	0.0438939
Olbermann	0.0438225
Carollo	0.0437995
"De Niro"	0.0435795
Ruehe	0.0434425
Kingsley	0.0433527
"Michael Douglas"	0.0430283
"George Will"	0.0430212
"Demi Moore"	0.0427788
"Diana Ross"	0.0427737
"Chavalit Yongchaiyudh"	0.0427619
Marulanda	0.0422864
"Christopher Reeve"	0.0422742
Rosie	0.0422689
"Jim Gray"	0.0421119
"Vaclav Klaus"	0.0420129
Schuessel	0.0418052
"Trisha Yearwood"	0.0416579
"Drew Carey"	0.041572
Iliescu	0.0414565
"Scott Ritter"	0.0414183
newsmagazine	0.0413919
Kermit	0.0413493
Braugher	0.0413458
Bucaram	0.041237
Donny	0.0411731
Ben-Ami	0.0411391
"Tim Dwight"	0.0410051
Lett	0.0409847
"Richard Gere"	0.0408055
"news program"	0.0406664
"Olusegun Obasanjo"	0.0406221
Sahnoun	0.0405849
Jovanovic	0.0405805
Costner	0.0405006
Briscoe	0.0403594
"John Calipari"	0.0403193
Arens	0.0402469
"Michael Ovitz"	0.0401516
"Nigel Hawthorne"	0.040072
"news show"	0.0400671
Bergkamp	0.0400402
))
("Bryant Park" (desc 2985.83) (sims
"Battery Park City"	0.0963155
"East Village"	0.0811414
"Riverside Church"	0.0752074
"Grand Central Terminal"	0.0748943
"Rockefeller Center"	0.0724779
"Central Park"	0.0724553
"Radio City Music Hall"	0.0706173
"East River"	0.0705172
"Carnegie Hall"	0.0700585
"Mount Sinai Hospital"	0.0685756
"Film Forum"	0.0667549
"Mount Sinai Medical Center"	0.0652039
"Hilton Hotel"	0.064364
"Lincoln Center"	0.0640434
"Second Avenue"	0.0638784
"Alice Tully Hall"	0.0631803
"Hunter College"	0.0601035
"vacant lot"	0.0589795
"Hell's Kitchen"	0.0589331
"Cooper Union"	0.0587701
"West Village"	0.0582144
"Union Square"	0.0580969
"town hall"	0.0572897
"Joyce Theater"	0.057072
"phone booth"	0.056926
"Walter Reade Theater"	0.0568744
"Park Avenue"	0.0565711
"Times Square"	0.0564022
"Olympic Park"	0.0556016
Lugano	0.0550815
"Furman University"	0.0540211
"Little Italy"	0.0534756
"Seasons Hotel"	0.0531675
"Fifth Avenue"	0.0525154
"World Trade Center"	0.0522329
"Solomon R. Guggenheim Museum"	0.0518368
"Waldorf-Astoria Hotel"	0.0517682
"Federal District Court"	0.05131
"Avery Fisher Hall"	0.0512324
"Memorial Sloan-Kettering Cancer Center"	0.050738
"farmer's market"	0.0503164
"Public School @@"	0.0495536
"Silicon Alley"	0.0494979
"Sheraton Hotel"	0.0493366
"Rockefeller University"	0.049254
"Juilliard School"	0.0490445
palladium	0.0487455
"Lexington Avenue"	0.0486468
"Lincoln Center Festival"	0.0485662
"Penn Station"	0.0482081
"Lincoln Memorial"	0.0478536
"studio apartment"	0.0474323
"Jewish Museum"	0.0473829
"Greenwich Village"	0.04711
"Asia Society"	0.0469798
"Heritage High School"	0.0469285
Blace	0.0468874
"Plaza Hotel"	0.046875
"Metropolitan Opera House"	0.046666
"Metropolitan Museum of Art"	0.0465286
"Museum of Modern Art"	0.0463363
"Museum of Natural History"	0.0462768
"Kansas State University"	0.0461602
"Upper West Side"	0.0460426
"French capital"	0.0460339
"Dorothy Chandler Pavilion"	0.045634
"rose garden"	0.0451327
Ringling	0.0443655
"District @@"	0.044312
Soho	0.0442487
Kuching	0.0442277
"Upper East Side"	0.0440118
"Washington Heights"	0.0439528
"Symphony Hall"	0.0438394
Bedouin	0.0436709
Cineplex	0.0436375
"Lower East Side"	0.0435907
"Brooklyn Academy of Music"	0.042958
"First Avenue"	0.0428101
"Polo Grounds"	0.0426389
"open air"	0.0425443
velcro	0.0423755
"American Museum of Natural History"	0.0418925
"Shrine Auditorium"	0.0416305
Gisenyi	0.0416279
"Metropolitan Museum"	0.0409679
Steakhouse	0.040708
"Wimbledon Tennis Championships"	0.0405284
"Gulfstream Park"	0.0405237
))
("Bryant Young" (desc 1139) (sims
"John Randle"	0.197362
"Cortez Kennedy"	0.194304
"Garrison Hearst"	0.190171
"Sam Adams"	0.188353
"Travis Hall"	0.186819
"Pete Holland"	0.181814
"Ty Detmer"	0.172903
"Aaron Williams"	0.17139
"Warren Sapp"	0.17083
"Dana Stubblefield"	0.168679
"Chad Hennings"	0.167224
"Shane Dronett"	0.166599
"Mark Tuinei"	0.162925
"Leon Lett"	0.161938
"Jeff Garcia"	0.159435
"Jerry Rice"	0.155866
"Eric Swann"	0.155098
"Alonzo Spellman"	0.154963
"Charles Haley"	0.153157
"Trace Armstrong"	0.147457
"Michael Myers"	0.143787
"Terrell Owens"	0.142639
"Ken Kocher"	0.140329
"Michael Strahan"	0.140073
"Jumbo Elliott"	0.138264
"Brandon Mitchell"	0.138237
"Dimitrius Underwood"	0.13809
"Jim Druckenmiller"	0.137386
"Courtney Brown"	0.136323
"Chad Eaton"	0.135181
"J.J Stokes"	0.133598
"Lester Archambeau"	0.129593
"Bob Whitfield"	0.129065
"Henry Thomas"	0.128954
"Lomas Brown"	0.125695
Farr	0.119769
"Mark Smith"	0.119464
"Bruce Armstrong"	0.116709
"Reggie White"	0.114466
"Jason Fabini"	0.11211
"Orlando Brown"	0.111948
"Larry Allen"	0.110449
"Steve Young"	0.10709
"Joe Montana"	0.105283
"Ferric Collons"	0.104903
"Mike Jones"	0.104372
"Brent Jones"	0.104251
"Flozell Adams"	0.102656
"Jason Taylor"	0.100913
"Ephraim Salaam"	0.0995396
"Chuck Smith"	0.0992359
"Kavika Pittman"	0.0945957
"L.J Shelton"	0.0931729
"Manny Fernandez"	0.0928695
"Kris Farris"	0.0921822
"John Tait"	0.0905432
"Rich Brooks"	0.0904352
"line coach"	0.0893121
"Antonio Langham"	0.0882682
"Ebenezer Ekuban"	0.0880769
"Zach Thomas"	0.0842704
"Eric Snow"	0.0815011
"Bruce Smith"	0.0813867
"Derrick Thomas"	0.081382
"Derrick Alexander"	0.0799666
"Erik Williams"	0.0799636
"Greg Ellis"	0.0788635
"Dave McGinnis"	0.0788163
"Matt Geiger"	0.077898
"JEVON KEARSE"	0.0777825
"Solomon Page"	0.0767812
"Craig Ludwig"	0.0760647
"Andre Wadsworth"	0.0759095
Intimidator	0.072457
"Bo Jackson"	0.0724035
"Howie Long"	0.0709458
"Bill Walsh"	0.0704401
"Ronnie Lott"	0.0703191
"Max Lane"	0.070069
"Claudia Pechstein"	0.069106
"Leonel Alvarez"	0.0689454
"Shane Warne"	0.0673795
"Dave Campo"	0.0673522
"Hu Weidong"	0.0668573
"Tony Hutson"	0.0657902
"Jerome Bettis"	0.0644247
"Sergei Zubov"	0.064002
"Scott Thornton"	0.0635431
"Jamal Lewis"	0.0632352
"Simeon Rice"	0.0631013
"Bruce Matthews"	0.0627183
"Jayson Williams"	0.0622512
"Jere Lehtinen"	0.0621911
"Aeneas Williams"	0.0621547
"Hristo Stoichkov"	0.0619752
"Dwayne Goodrich"	0.0618826
"Jason Sehorn"	0.0618384
"Shannon Sharpe"	0.0613788
Juninho	0.0610137
"Dennis Johnson"	0.0605948
"Everett McIver"	0.059628
"Al MacInnis"	0.0587679
"Paul Abbott"	0.0587077
"Ricky Moore"	0.0581761
"Eric Cantona"	0.0580484
"Jason Kapono"	0.057506
"Emmanuel Petit"	0.0567241
"Hao Haidong"	0.0565225
"Huang Xu"	0.0563344
"Paul Molitor"	0.0563027
"Carmen Policy"	0.0561501
"Bryan Berard"	0.0560127
Romario	0.0558962
"Derian Hatcher"	0.0557942
"Wayne Chrebet"	0.0557593
"Willie McGinest"	0.0557081
"Michael Irvin"	0.0556456
"Reggie Lewis"	0.0556139
"Dick Jauron"	0.055464
"Craig Counsell"	0.055263
"Kirk Muller"	0.0542004
"Bobby Hamilton"	0.053706
"Kenyon Martin"	0.0536232
"Lee Nailon"	0.0535123
"Mark Messier"	0.0534949
"Jarvis Turner"	0.0533986
"Laurent Blanc"	0.0533422
"Paul Westphal"	0.0532622
"Marcelo Salas"	0.0532597
"Troy Aikman"	0.0531807
Gaudenzi	0.0529891
"Dejan Stankovic"	0.0529799
"Michelle Akers"	0.0529636
"Willis Reed"	0.0529331
"Zvonimir Boban"	0.0529329
"Fan Zhiyi"	0.05253
"Brian Skrudland"	0.0525041
Unser	0.0524756
"Li Na"	0.052058
"Neil Smith"	0.0520078
"Phillip Cocu"	0.0519426
"Khodadad Azizi"	0.0519235
"Rubens Barrichello"	0.0519018
McIver	0.0518837
"Champ Bailey"	0.0518297
"Brenden Morrow"	0.0518147
"Hidetoshi Nakata"	0.0517246
"Kevin Mathis"	0.0516924
"Predrag Mijatovic"	0.051492
"Marcel Desailly"	0.0514722
"Darrick Martin"	0.0514389
"R. Jay Soward"	0.0514305
"Stephen Davis"	0.05124
"Simona Amanar"	0.0510728
"Christian Fittipaldi"	0.0509623
"Curtis Enis"	0.0506356
"Alessandro Del Piero"	0.0505757
"Ron Artest"	0.0503895
"Inge de Bruijn"	0.0501463
"Nwankwo Kanu"	0.0501368
"Frank Gifford"	0.0500883
"Juergen Klinsmann"	0.0498011
Lafleur	0.049797
"Tamika Catchings"	0.0497717
"Ray Lewis"	0.0497567
"Shane Battier"	0.0497211
"Richard Matvichuk"	0.0496097
"Dejan Savicevic"	0.0495504
Edmundo	0.0494552
"LaVar Arrington"	0.0494467
"Guy Carbonneau"	0.0492951
"James Jones"	0.0490715
goalpost	0.0490636
"Robert Jarni"	0.0489225
"Greg Ostertag"	0.0489058
"Elvis Grbac"	0.0488125
"Ian Wright"	0.0487858
"Dominique Wilkins"	0.0485699
"Todd Husak"	0.0479966
"Tedy Bruschi"	0.0479017
Ceballos	0.0478991
Zanardi	0.0478472
"Jeremy Wotherspoon"	0.0477337
"Sanath Jayasuriya"	0.047689
"Stan Collymore"	0.0475805
quarterfinalists	0.0475
"Jay Buhner"	0.0472182
"Ben Coates"	0.0471786
"Wang Chunlu"	0.0469694
"Joe Nieuwendyk"	0.0465216
"Alex Zanardi"	0.0462335
"Diego Maradona"	0.0462024
"Dom Capers"	0.0461899
"Ken Hitchcock"	0.0459536
"Patrick Kluivert"	0.0459101
frontrunners	0.0456038
"Joe Sakic"	0.0455032
"Mo Lewis"	0.0455
"ZIGMUND PALFFY"	0.045449
"Mike Keane"	0.0453711
))
(Bryce (desc 1805.34) (sims
J.D	0.111853
Zion	0.107548
Kory	0.0820005
Shelley	0.076667
verde	0.0650902
Whyte	0.058153
Barrie	0.0576586
leone	0.0558509
Eubanks	0.0529005
GAGE	0.0520327
Singson	0.051331
Audrey	0.0509468
whomever	0.0506133
Rubenstein	0.050032
Kruger	0.0495311
Steffi	0.0484442
Brett	0.0483252
Colin	0.0476293
Nickerson	0.0474075
Alonzo	0.0471112
Marquis	0.0470893
Schaeffer	0.0470472
Theresa	0.0468797
Trevor	0.0466143
Jake	0.04647
Zachary	0.0460423
McWilliams	0.045972
Bighorn	0.0457478
Roberta	0.0456948
Corey	0.0453292
Joshua	0.045288
"Alicia Silverstone"	0.0445628
Escobar	0.0436734
Bavasi	0.043137
artiste	0.0428469
Garth	0.0427799
ANGELOS	0.0426883
Tim	0.0425802
Sobel	0.0425293
Keaton	0.0424377
"shipwreck survivor"	0.0423649
Bridget	0.042314
Katherine	0.0422493
"Prince Edward Island"	0.0419711
Halberstam	0.0419624
Jeremiah	0.0418949
Mackey	0.0415378
Soares	0.0414517
Husseini	0.0413462
Kumar	0.0410613
Markovic	0.0407486
Crichton	0.0402658
Kyle	0.0401027
))
("Bryce Drew" (desc 2086.36) (sims
"Cuttino Mobley"	0.274551
"Michael Dickerson"	0.265876
"Othella Harrington"	0.244476
"Brent Price"	0.23787
"Matt Maloney"	0.234281
"Sam Mack"	0.184285
"Shandon Anderson"	0.183437
"Mike Bibby"	0.156822
"Antoine Carr"	0.151148
"Matt Bullard"	0.143354
Dickerson	0.12932
"Kenny Thomas"	0.128962
"Tariq Abdul-Wahad"	0.126088
"Eric Snow"	0.125126
"Rashard Lewis"	0.123608
"Brandon Granville"	0.108454
"David Wesley"	0.108023
Drew	0.108005
"Bonzi Wells"	0.10404
"Greg Anthony"	0.100626
"Steve Francis"	0.0993425
"Ukari Figgs"	0.0989093
"Eric Piatkowski"	0.0959877
"Andre Miller"	0.0959191
"Darrick Martin"	0.0957685
"Larry Hughes"	0.095712
"Jeff Trepagnier"	0.0952877
"Courtney Alexander"	0.0940595
"Brevin Knight"	0.0940203
"Shammond Williams"	0.0931738
"Anthony Johnson"	0.0921318
"Shareef Abdur-Rahim"	0.0912738
"Matt Santangelo"	0.0902504
"Antonio Daniels"	0.0891548
"Travis Best"	0.0870261
"Mario Elie"	0.0860245
"Tyronn Lue"	0.0855696
"Wayne Turner"	0.0849031
Francis	0.0845909
Mobley	0.0843732
"Billy Knight"	0.0841863
"Michele Timms"	0.0840935
"Erick Barkley"	0.0838693
"Baron Davis"	0.0838637
"Derek Anderson"	0.0829553
"Robert Pack"	0.082714
"Jason Williams"	0.0812644
"Dion Glover"	0.0802367
"Bimbo Coles"	0.0801805
"Dana Barros"	0.079218
"B.J Armstrong"	0.0791788
"Voshon Lenard"	0.0784656
"Jason Terry"	0.0779451
"Jimmy Oliver"	0.0775982
"Eric Murdock"	0.0764892
"Terrell Brandon"	0.0763584
"Jeff Hornacek"	0.0762953
"Chauncey Billups"	0.0762573
"Raef LaFrentz"	0.0761971
"Flozell Adams"	0.0761678
"Ryan Bailey"	0.0756724
"Doug Christie"	0.0754533
"Darrell Armstrong"	0.0753857
"Michael Olowokandi"	0.0750542
"Dawn Staley"	0.0748135
Olajuwon	0.0742883
"Hersey Hawkins"	0.074176
"Kerry Kittles"	0.0741268
"Michael Redd"	0.0741151
"Teresa Weatherspoon"	0.0734494
"Adrian Griffin"	0.0731848
"Ricky Moore"	0.0727155
"Damon Stoudamire"	0.0722438
"Ron Mercer"	0.0721654
"Richard Hamilton"	0.0717046
"Solomon Page"	0.0714226
"Kevin Johnson"	0.0713148
"Shawn Marion"	0.0712728
"Ray Young"	0.0711724
"Avery Johnson"	0.0708871
"Toby Bailey"	0.0707287
"Austin Croshere"	0.0706521
"Rex Chapman"	0.070293
"Eddie House"	0.069858
"Trajan Langdon"	0.0696933
"Kenny Anderson"	0.0691263
"Paul Pierce"	0.0689784
"Don Maclean"	0.0688517
"Scoonie Penn"	0.0682708
"Tim Hardaway"	0.068
"Doc Rivers"	0.0676789
"Mookie Blaylock"	0.0674534
"Howard Eisley"	0.0671065
"Heath Irwin"	0.066733
"Brent Barry"	0.0666216
"Sherman Douglas"	0.0657089
Scoonie	0.0656756
"Lamar Odom"	0.0652218
"Nick Anderson"	0.0650118
"Ruben Patterson"	0.0649183
"Jim Jackson"	0.0638985
"Ron Artest"	0.0634183
"Derek Fisher"	0.0634025
"Jonathan Bender"	0.0632525
Hornacek	0.0627669
"Mark Jackson"	0.062262
"Vladimir Stepania"	0.0620931
"Pat Garrity"	0.0620719
"Rod Strickland"	0.0620481
"Earl Watson"	0.0619383
"Mark Williams"	0.0617902
"Dale Ellis"	0.0617236
"Jaren Jackson"	0.0612193
Mack	0.0611824
"Bob Sura"	0.0610665
"Charlie Ward"	0.060475
"Kim Perrot"	0.0601406
"Michael Finley"	0.0601265
"Khalid El-Amin"	0.0596998
"Brian Shaw"	0.0596465
"Randy Brown"	0.0591962
Stackhouse	0.0590147
"Wally Szczerbiak"	0.0589706
"Reggie Miller"	0.0582561
"Terry Porter"	0.058028
"Kris Clack"	0.0577239
"Bobby Phills"	0.0576263
"Cynthia Cooper"	0.0575525
"Steve Nash"	0.0573374
Barkley	0.0569381
"Derek Harper"	0.0565297
"Nikki McCray"	0.0560805
"William Avery"	0.0560581
"Gene Williams"	0.0558833
"Kendall Gill"	0.0556374
"Dan Majerle"	0.0553851
El-Amin	0.055192
Muoneke	0.0550298
"Chris Childs"	0.054537
"Wilton Veras"	0.0540053
"Sam Cassell"	0.0539331
McCloud	0.0535739
"Pat Burrell"	0.0534545
"Nick Van Exel"	0.0534191
"Bruce Aven"	0.0533536
"Ron Harper"	0.0533128
"Charles Barkley"	0.0532731
STALEY	0.0530934
"Mitch Richmond"	0.0530029
"Matt Harpring"	0.0529682
"Jerry Stackhouse"	0.0529339
"Carlos Febles"	0.0523545
Kittles	0.0519728
"John Starks"	0.0517266
"Hubert Davis"	0.0516759
"Mitch Meluskey"	0.0513132
"Hakeem Olajuwon"	0.0513108
"Hu Weidong"	0.0511364
"Malik Sealy"	0.0509936
"Damien Woody"	0.0501417
"Larry Allen"	0.0501006
"Chris Mullin"	0.0499246
"Devean George"	0.0497508
"Mateen Cleaves"	0.049706
"Steve Smith"	0.049502
"Norm Maracle"	0.0494252
"Keith Brooking"	0.0489755
"Rafael Furcal"	0.0488766
Vidro	0.0487137
"Joe Dumars"	0.0486915
"Eric Owens"	0.0485895
"Tyrone Nesby"	0.0483262
"Seth Etherton"	0.0483206
"David Ortiz"	0.0482945
"Bruce Matthews"	0.0481358
"Randall Simon"	0.0480856
"Gary Payton"	0.0479685
"Rico Hines"	0.0478414
Timms	0.0477367
"Maurice Taylor"	0.047706
"Angel Pena"	0.0475797
"Einar Diaz"	0.0475599
"John Avery"	0.0474029
"Isaiah Rider"	0.0472744
Alicea	0.0472414
"Nate Newton"	0.0472368
"Manny Malhotra"	0.0472213
"Sebastian Janikowski"	0.0471676
"Corey Maggette"	0.0471184
"J.D Drew"	0.047066
"Mike Caruso"	0.0469813
"Steve Kerr"	0.0469099
"Jeff Weaver"	0.0467785
"Donnie Sadler"	0.0466718
"Dan Cloutier"	0.0466498
"John Stockton"	0.0465843
"Everett McIver"	0.0465108
"Chad Pennington"	0.0464734
"David Dellucci"	0.0464596
"Jamal Mashburn"	0.0463839
))
("Bryce Florie" (desc 1436.88) (sims
"Brian Moehler"	0.34986
"Jeff Weaver"	0.328795
"Tim Wakefield"	0.328235
"John Wasdin"	0.326924
"Brian Rose"	0.317015
"Russ Ortiz"	0.283798
"Pat Rapp"	0.281289
"Ron Villone"	0.279345
"Byung-Hyun Kim"	0.279138
"Gil Heredia"	0.274126
"Mark Portugal"	0.27372
"Mark Gardner"	0.273329
"Chris Carpenter"	0.270503
"Pat Mahomes"	0.268327
"Jin Ho Cho"	0.268096
"Derek Lowe"	0.265448
"Paul Abbott"	0.262631
"Woody Williams"	0.261216
"Jon Lieber"	0.256562
"John Burkett"	0.254862
"Russ Springer"	0.252401
"Armando Reynoso"	0.25073
"Mike Sirotka"	0.24969
"Willie Blair"	0.248613
"BRIAN MEADOWS"	0.24707
"Matt Morris"	0.246218
"Kent Mercker"	0.245275
"Kevin Tapani"	0.242735
"Jamey Wright"	0.241814
"Eric Milton"	0.241309
"Rod Beck"	0.240389
"Carl Pavano"	0.23927
"Dave Mlicki"	0.237281
"Mark Petkovsek"	0.233179
"Mac Suzuki"	0.230334
"Scott Karl"	0.229685
"Tom Gordon"	0.228849
"Steve Parris"	0.22807
"Brett Tomko"	0.227035
"Rheal Cormier"	0.226398
"Al Levine"	0.225656
"Scott Elarton"	0.225349
"Terry Mulholland"	0.223757
"Dustin Hermanson"	0.223485
"Jim Parque"	0.223267
"Rich Garces"	0.222365
"Todd Jones"	0.221235
"Pedro Astacio"	0.219123
"Rick White"	0.21875
"Ramiro Mendoza"	0.218147
"Kevin Appier"	0.216699
"Jesus Sanchez"	0.21556
"Bret Saberhagen"	0.214862
"Dave Burba"	0.214523
"DOUG JONES"	0.213341
"Paul Byrd"	0.213335
"STEVE WOODARD"	0.21331
"Scott Williamson"	0.213289
"Pete Schourek"	0.213169
"Javier Vazquez"	0.211632
"Paul Shuey"	0.210985
"Robb Nen"	0.210617
"Ken Cloude"	0.209613
"Frankie Rodriguez"	0.209207
"Pete Harnisch"	0.208475
"Bill Pulsipher"	0.207622
"Kirk Rueter"	0.207313
"Danny Graves"	0.207243
"Brett Hinchliffe"	0.20637
"Brian Bohanon"	0.206066
"Brad Radke"	0.204043
"Shigetoshi Hasegawa"	0.203349
"Ramon Martinez"	0.202913
"Jason Bere"	0.202411
"Matt Herges"	0.202068
"Tom Candiotti"	0.201957
"Steve Trachsel"	0.200045
"Jose Jimenez"	0.1993
"Vladimir Nunez"	0.197584
"Ryan Dempster"	0.196879
"Octavio Dotel"	0.196821
"Mike Morgan"	0.196027
"Jamie Arnold"	0.195786
"Mark Guthrie"	0.194814
"John Snyder"	0.194261
"Terry Adams"	0.19373
"Francisco Cordova"	0.193579
"John Hudek"	0.192506
"Esteban Loaiza"	0.189907
"Scott Erickson"	0.189841
"Pat Hentgen"	0.189438
"Rick Aguilera"	0.188512
"Joey Hamilton"	0.187264
"Tim Belcher"	0.18678
"Brian Anderson"	0.186515
"Steve Sparks"	0.18543
"Jeff Fassero"	0.184899
"Mark Langston"	0.184604
"Mike Timlin"	0.184354
"Jason Schmidt"	0.183673
"Omar Olivares"	0.183157
"Andy Benes"	0.182861
Mahomes	0.181822
"Jim Corsi"	0.18154
"Turk Wendell"	0.180768
"Ramon Ortiz"	0.17985
"Greg Swindell"	0.179106
"Kent Bottenfield"	0.178776
"Freddy Garcia"	0.178013
"Randy Myers"	0.177648
"Mark Clark"	0.177358
"Bartolo Colon"	0.177338
"Jamie Moyer"	0.177026
"Antonio Osuna"	0.17667
"Rich Rodriguez"	0.17636
"Robinson Checo"	0.175893
"Chris Holt"	0.175169
"Juan Guzman"	0.175134
"Alan Embree"	0.174992
"Hideo Nomo"	0.174799
"Mike Mussina"	0.174708
"Heathcliff Slocumb"	0.174392
"Wilson Alvarez"	0.173985
"Hideki Irabu"	0.173792
"Ryan Glynn"	0.172644
"Danny Patterson"	0.172521
"Rudy Seanez"	0.172513
"Steve Avery"	0.171845
"Scott Schoeneweis"	0.171436
"Mike Remlinger"	0.171422
"Jason Dickson"	0.170431
"Rolando Arrojo"	0.170321
"Jose Paniagua"	0.170121
"Matt Mantei"	0.169954
"Shawn Estes"	0.169879
"Aaron Sele"	0.169218
"Alex Fernandez"	0.169104
"Livan Hernandez"	0.168506
"Doug Henry"	0.167837
"Ricky Bottalico"	0.167371
"Shane Reynolds"	0.167167
"James Baldwin"	0.166908
"Jason Grimsley"	0.166839
"John Halama"	0.166667
"Jack McDowell"	0.166195
"Dennis Eckersley"	0.165464
"Mark Leiter"	0.164667
"Allen Watson"	0.164432
"Jose Mesa"	0.164382
Lieber	0.164282
"Mike Fetters"	0.164076
"Bob Wickman"	0.164067
"Mike Stanton"	0.163989
"Brad Penny"	0.163607
"Chuck McElroy"	0.162896
"Jeff Nelson"	0.162605
"Jason Christiansen"	0.16257
"Mike Judd"	0.162504
"Doug Davis"	0.162301
"Scott Radinsky"	0.161279
"Sidney Ponson"	0.160659
D'Amico	0.160646
"Tim Hudson"	0.160608
"Sean Bergman"	0.160299
"Troy Percival"	0.159928
"Kevin Millwood"	0.159905
"Rick Reed"	0.159826
"Jaret Wright"	0.159756
"Darren Dreifort"	0.15958
"Greg McMichael"	0.15951
"Mike Magnante"	0.159147
"Masato Yoshii"	0.159077
"Jay Powell"	0.159028
"Darren Oliver"	0.158735
"Tim Crabtree"	0.158239
"Dan Miceli"	0.157754
"Gil Meche"	0.156357
"Matt Perisho"	0.155868
"Armando Benitez"	0.1555
"Dwight Gooden"	0.154486
Benes	0.154185
"Bruce Chen"	0.153491
Hermanson	0.153448
"Billy Wagner"	0.15293
"Odalis Perez"	0.152788
"Jason Isringhausen"	0.150959
"Dennis Cook"	0.15094
"John Franco"	0.150714
"Sterling Hitchcock"	0.150505
"Ken Hill"	0.150194
"Billy Taylor"	0.150037
"Darryl Kile"	0.150017
Pavano	0.149956
Dempster	0.149663
"Ugueth Urbina"	0.149464
"Brian Cooper"	0.149255
Bottenfield	0.147576
"Jeff Zimmerman"	0.147482
"Chan Ho Park"	0.147433
"Darren Holmes"	0.147173
"Charles Nagy"	0.145863
"Andy Ashby"	0.145655
"Scott Sullivan"	0.144982
"Jarrod Washburn"	0.144836
Burba	0.144809
Trachsel	0.14448
"Ismael Valdes"	0.143387
Remlinger	0.143295
"Graeme Lloyd"	0.143199
Bere	0.14309
"Gregg Olson"	0.142699
"Eric Gagne"	0.140979
Heredia	0.140455
"Onan Masaoka"	0.140298
Astacio	0.139576
"John Wetteland"	0.139418
"Dennis Martinez"	0.139351
"Justin Thompson"	0.13837
"Omar Daal"	0.13763
"Rick Helling"	0.137382
"Mike Holtz"	0.137302
Rueter	0.136778
"Todd Stottlemyre"	0.136775
Harnisch	0.135874
"Orel Hershiser"	0.135136
Daal	0.135125
"Arthur Rhodes"	0.135072
Schourek	0.134966
"Kevin McGlinchy"	0.134213
"Paul Spoljaric"	0.132762
"Donne Wall"	0.13247
Petkovsek	0.132096
"Roberto Hernandez"	0.130695
Appier	0.130038
Rusch	0.129973
Mlicki	0.129483
Kile	0.128795
"Francisco Cordero"	0.128774
Checo	0.128475
Etherton	0.128386
"Kerry Ligtenberg"	0.128246
"Mariano Rivera"	0.128143
Herges	0.126067
"Pedro Borbon"	0.12587
"Jose Lima"	0.124957
"Bobby Jones"	0.123208
Mantei	0.12314
"Kerry Wood"	0.122942
Ankiel	0.121719
"Carlos Perez"	0.12108
"Kazuhiro Sasaki"	0.120559
Suppan	0.120145
Loaiza	0.119923
Olivares	0.119737
"Jeff Shaw"	0.119573
"Mike Williams"	0.119478
Moehler	0.118581
Eldred	0.118572
"Orlando Hernandez"	0.117842
"Curt Schilling"	0.117698
"Alan Mills"	0.117231
"Mark Wohlers"	0.11712
Reynoso	0.116386
"Trevor Hoffman"	0.11597
"Mike Jackson"	0.11581
"Mike Hampton"	0.114908
Nagy	0.114846
Halama	0.114692
"Chuck Finley"	0.113505
Tapani	0.113453
"Kenny Rogers"	0.113013
Hentgen	0.112041
hurler	0.111088
Cormier	0.110816
Mussina	0.110696
Meche	0.110577
"John Smoltz"	0.110237
Candiotti	0.110153
Elarton	0.109797
"Jesse Orosco"	0.108166
"Dennis Reyes"	0.107462
Wendell	0.107279
"Mike Venafro"	0.107278
"Al Leiter"	0.107164
"Brian Williams"	0.107061
"El Duque"	0.106954
"Andy Pettitte"	0.106076
Grimsley	0.105848
"Denny Neagle"	0.105783
Burkett	0.105064
Sele	0.104233
"Eric Gunderson"	0.104139
Contreras	0.103068
"Roger Clemens"	0.103066
"Jeff Brantley"	0.102722
"Chuck Smith"	0.102346
Cloude	0.101013
"Mel Rojas"	0.100707
Parris	0.100309
Bohanon	0.100045
"David Cone"	0.100043
Valdes	0.100022
))
("Bryon Russell" (desc 2546.48) (sims
"Jeff Hornacek"	0.308604
"Howard Eisley"	0.273707
"John Stockton"	0.214528
"Karl Malone"	0.172297
"Greg Ostertag"	0.159894
"Antoine Carr"	0.148534
"Matt Bullard"	0.144221
"Shandon Anderson"	0.142027
"Gabe Muoneke"	0.137241
"Cedric Ceballos"	0.137185
"Corliss Williamson"	0.135834
"Lamond Murray"	0.129866
"Rodney Rogers"	0.129787
"Donyell Marshall"	0.124804
"Shawn Marion"	0.123541
"Brian Grant"	0.119953
"Othella Harrington"	0.118653
"Kevin Freeman"	0.118307
"Walt Williams"	0.117988
"Cuttino Mobley"	0.115487
"Juwan Howard"	0.11334
"Lorenzen Wright"	0.112838
"Jerry Sloan"	0.111955
"Richard Jefferson"	0.108348
"Tamika Catchings"	0.107543
"Ante Razov"	0.10236
"Stern John"	0.101694
"Brian Skinner"	0.10124
"Michael Wright"	0.10095
"Jason Kapono"	0.100378
"Kenyon Martin"	0.100012
"Derrick Coleman"	0.0995063
"Dale Davis"	0.0992422
"Raef LaFrentz"	0.0991478
"Danny Fortson"	0.0990942
"Rasheed Wallace"	0.0979594
"Jarvis Turner"	0.0974441
Stockton	0.0968639
"Tyrone Nesby"	0.094915
"Tim Thomas"	0.0937188
"Michael Finley"	0.0934903
"Natalie Williams"	0.0930853
"Keith Van Horn"	0.0921918
"Steve Francis"	0.0919253
"Kenny Thomas"	0.0917872
"Matt Harpring"	0.0903694
"Kris Clack"	0.0898705
"Morris Peterson"	0.0896534
"George McCloud"	0.0896184
"Vin Baker"	0.0895619
"Dirk Nowitzki"	0.0894523
"Charles Barkley"	0.0891531
"Samaki Walker"	0.0890845
"Chris Gatling"	0.0890519
"Chris Mullin"	0.0890373
"Kurt Thomas"	0.0889566
"Maurice Taylor"	0.0885871
"Kendall Gill"	0.0884499
"Sheryl Swoopes"	0.0881898
"Rashard Lewis"	0.0880859
"Sean Elliott"	0.0874151
"Dickey Simpkins"	0.0873537
"Carlos Hermosillo"	0.0871597
"Hu Weidong"	0.0871224
"Andre Miller"	0.0854662
"Rick Fox"	0.0853392
"Chris Carrawell"	0.0850371
"Dana Barros"	0.0849528
"Etan Thomas"	0.0847151
"Alexei Kovalev"	0.0845441
"Hao Haidong"	0.0843827
"Mark Madsen"	0.0837459
"DeLisha Milton"	0.0836644
"Ruben Patterson"	0.0831418
"Jumaine Jones"	0.0830734
"Mike Miller"	0.0829471
"Rick Tocchet"	0.0828464
"Glenn Robinson"	0.0826112
"Anthony Mason"	0.0822939
"Chris Drury"	0.0820779
"Chris Crawford"	0.0820525
"Sun Wen"	0.0820423
"Alan Henderson"	0.0812941
"Jamal Mashburn"	0.0812679
"Predrag Mijatovic"	0.0812518
"Austin Croshere"	0.0812181
"Brian Scalabrine"	0.0808846
"Geoff Sanderson"	0.0805644
"Chris Porter"	0.0805564
"Ron Artest"	0.0802598
"Todd Harvey"	0.0802313
pick-and-roll	0.0798012
"Doug Christie"	0.0795747
"Scottie Pippen"	0.0792166
"Bill Guerin"	0.0784425
"Clarence Weatherspoon"	0.0782689
"Shawn Kemp"	0.0780415
"Shane Doan"	0.0778132
"Greg Adams"	0.0773582
"Alen Boksic"	0.0772682
"Brian McBride"	0.0772549
"Grant Long"	0.0770029
"Tina Thompson"	0.0769335
"Shareef Abdur-Rahim"	0.0768418
"J.R Reid"	0.0767477
"Keith Tkachuk"	0.0766401
"Olden Polynice"	0.0765683
"Theo Ratliff"	0.0762371
"Sam Clancy"	0.075845
"Raul Gonzalez"	0.0753895
"Clifford Robinson"	0.0753805
"Ziggy Palffy"	0.07531
"Kevin Willis"	0.0753034
"Jerome Moiso"	0.0751518
Mobley	0.0746689
"Marcus Fizer"	0.0743303
"Roy Lassiter"	0.0742629
"Wendel Clark"	0.0742482
"Dejan Savicevic"	0.074168
"Shane Battier"	0.0740123
"Detlef Schrempf"	0.0733317
"P.J Brown"	0.0733019
"Joe Smith"	0.0732666
"Gary Payton"	0.0732453
"SCOTT BURRELL"	0.0732363
"Chamique Holdsclaw"	0.0731571
"Mike Keane"	0.0728193
"Horace Grant"	0.0724599
"Aaron Williams"	0.0722066
"Blake Sloan"	0.0721516
"Joe Sakic"	0.0713655
"Danny Manning"	0.0712888
"Darrick Martin"	0.0710946
"Chris Mills"	0.071076
"Pat Garrity"	0.0708745
"Peter Forsberg"	0.0708055
"Ali Daei"	0.0703408
"Cindy Parlow"	0.0700754
"Chris Webber"	0.0699406
"Christian Laettner"	0.0698563
"Bonzi Wells"	0.0698467
"Rebecca Lobo"	0.0695338
"Nick Van Exel"	0.0695319
"A.C. Green"	0.0694746
"Faustino Asprilla"	0.0692517
"Jamie Feick"	0.0690792
"Eric Snow"	0.0688707
"Jeff Friesen"	0.0686784
"Antoine Walker"	0.068665
"Gary Trent"	0.068445
"Kelvin Cato"	0.0683733
"Theo Fleury"	0.0682721
"Jaren Jackson"	0.0682569
"Sergei Fedorov"	0.0682399
"Dallas Drake"	0.0678275
"Patrik Elias"	0.0677988
"JaRon Rush"	0.0671758
"Nick Anderson"	0.0671312
"Kirk Muller"	0.0668527
"Pavol Demitra"	0.0668257
"Jalen Rose"	0.066717
"Elton Brand"	0.0664838
"Eric Piatkowski"	0.0662582
"Don Maclean"	0.0661362
"Tiffeny Milbrett"	0.0659316
"Elden Campbell"	0.0659254
"Travis Green"	0.0658519
"Billy Owens"	0.0655128
"Yolanda Griffith"	0.0655019
"Rico Hines"	0.0654033
"Christophe Dugarry"	0.0653992
"Sean Farnham"	0.0653742
"Jason Allison"	0.0652338
"Robert Horry"	0.0651091
"Antawn Jamison"	0.0650843
"Kevin Garnett"	0.0650157
"Paul Pierce"	0.0649931
"Bob Sura"	0.0648951
"Joe Thornton"	0.0646012
"Darren McCarty"	0.0645421
"David Robinson"	0.0644594
"Mark Bryant"	0.0643726
"Raul Diaz Arce"	0.0643475
"Jamie Langenbrunner"	0.0641539
"Mitch Richmond"	0.0636216
"John LeClair"	0.0636207
"Olli Jokinen"	0.0633063
"Hakeem Olajuwon"	0.0632852
"Milan Hejduk"	0.0630819
"Steve Rucchin"	0.0630438
"Khodadad Azizi"	0.062991
"Ron Mercer"	0.06295
"Tony Massenburg"	0.0627827
"Joe Juneau"	0.06277
"Wally Szczerbiak"	0.0627538
"Scot Pollard"	0.0627213
"Tore Andre Flo"	0.06265
"Malik Sealy"	0.0626276
"Antonio Davis"	0.0625158
"Cliff Robinson"	0.062197
))
(Bryson (desc 2173.2) (sims
Weiner	0.0909938
Kodikian	0.0857586
Eubanks	0.0833558
Sheehy	0.0812917
Puzo	0.0795294
Cornwell	0.0779752
Felton	0.0774908
Guralnick	0.076287
Northup	0.0750869
Kurtz	0.0744519
Halberstam	0.0731646
Gerstner	0.0728337
Weil	0.0728044
Hatfield	0.0708033
Margolis	0.0707498
Ginsberg	0.0703172
Nolan	0.0690068
Lobo	0.0689104
Posner	0.0687399
Barrie	0.0684908
Karr	0.0678287
Hauser	0.0674908
Schaeffer	0.0674462
Mahoney	0.0665853
Gutman	0.0662307
Theroux	0.0661392
Sobel	0.0660086
McDuffie	0.0657018
LeBlanc	0.0656988
LaBute	0.0646228
Ricci	0.0645255
Rivlin	0.0643815
McKenna	0.0641123
MALICK	0.0639242
Carlson	0.0639145
Krugman	0.0638169
Swenson	0.0636872
Menchu	0.0634301
Spielman	0.0633867
Myhrvold	0.0632144
Nasrallah	0.0631984
Johnston	0.0631752
Colangelo	0.0630018
Salinger	0.0627725
Wolfe	0.0624366
Turgeon	0.0623285
Ruggiero	0.0623156
Borges	0.0622518
McEwan	0.0621837
Cusack	0.0620747
Gritz	0.0620024
Khannouchi	0.061594
Rossotti	0.0611572
Lansky	0.0610843
Yastrzhembsky	0.0608694
Friedman	0.0607944
Sullivan	0.0605233
Harrell	0.0603608
Hersh	0.0602581
stringer	0.0597957
Barrett	0.0596101
Collymore	0.0594684
Burrell	0.0594006
Quayle	0.0593076
DERSHOWITZ	0.0591825
Schourek	0.0589887
Naipaul	0.0585923
Blume	0.0585306
Marquez	0.0585166
Pearce	0.0584592
Glover	0.0584534
Wiggins	0.058365
Sheehan	0.0582616
Hamlin	0.058079
Alves	0.058065
Zucker	0.0580498
Pryor	0.0580254
Brokaw	0.0579515
Mineta	0.0579298
Cartwright	0.0579024
Burkett	0.0576382
Junger	0.0574426
Eastwood	0.057441
MacKay	0.0574185
Crichton	0.0574101
Drury	0.0573108
Hamill	0.0572186
Caray	0.0568709
Baugh	0.0567431
"Patsy Ramsey"	0.0566863
"Maturino Resendiz"	0.056648
Siskel	0.056642
Zou	0.0565662
BENSON	0.0565528
Neilson	0.0564364
Kidder	0.0562041
Britton	0.0559125
Machel	0.0559069
Draper	0.0558576
Updike	0.0558449
Dickinson	0.0558283
Spence	0.0557812
Burroughs	0.0557646
McCurry	0.0557557
Maher	0.0556716
Lehane	0.0556401
McLachlan	0.055625
Hendrickson	0.0555269
Lamberth	0.0554283
Zarb	0.0553952
Rowling	0.0553807
Fuhrman	0.0553334
Doyle	0.0551184
Gibbons	0.055044
Maynard	0.0550173
Sheng	0.0549958
Solzhenitsyn	0.0548731
Underwood	0.0548174
Hoffman	0.0548007
PictureTel	0.0547502
Cuomo	0.0547425
Shriver	0.0546784
Auerbach	0.054656
Fassett	0.0545559
Hadley	0.0544997
Szabo	0.0544915
Gorey	0.0543715
Remnick	0.0543481
Chevenement	0.0543308
Avery	0.0543176
Barad	0.0542524
Schell	0.0539206
Moser	0.0538006
Yosef	0.0537786
McGuinness	0.0537533
"Tom Wolfe"	0.053697
Dixon	0.053692
Dunne	0.0535864
Juma	0.0533866
Epstein	0.0532806
Bech	0.0532409
Rodionov	0.0529762
Klemperer	0.0529648
Duran	0.0528469
Weinstein	0.0528413
Rehnquist	0.0527916
Morrison	0.0527556
Druckenmiller	0.0527064
Barbour	0.0526936
Reimer	0.0526197
Pippig	0.0525993
Hubbard	0.0524905
Steinbeck	0.0524414
Stein	0.0524018
Hinckley	0.0523925
Flanagan	0.0521874
"John Paul"	0.0521239
Einhorn	0.0518604
Xanana	0.0518017
Mcbride	0.0518013
Meskini	0.0517012
Vidal	0.0515876
zine	0.0515051
Crowe	0.0514867
Jarrell	0.0514688
Slaney	0.0513829
Schaeuble	0.051364
"Robert Edwards"	0.0513116
Safina	0.0511608
LeClair	0.0511588
Levine	0.0511575
Sibley	0.0509853
Clement	0.0509028
Capano	0.0509016
Ruehe	0.0508285
Soyinka	0.0507288
Koskinen	0.0506346
Ambrose	0.0505354
Vogel	0.0504381
Modell	0.0504332
Dexter	0.0503959
Edwin	0.0503342
BNFL	0.0503022
Khai	0.0502942
Schiller	0.0502467
Mercker	0.0502364
Dierker	0.0501824
Triplett	0.0501738
Portnoy	0.0501594
Sorkin	0.050155
Klinsmann	0.0501248
Grisham	0.0500977
Grossman	0.0500771
Whalen	0.0500602
Broaddrick	0.0500158
Knievel	0.049906
Allchin	0.0497917
Schmalensee	0.0497764
Rosen	0.0497307
Vieri	0.0497196
))
(BS (desc 1985.99) (sims
Antara	0.353902
MTI	0.326106
WAM	0.321438
Notimex	0.304431
"Agence France Presse"	0.261645
Bernama	0.260996
Ansa	0.259606
RSS	0.255212
Lusa	0.249839
KPL	0.246015
Petra	0.244035
MENA	0.23769
Angop	0.237203
Kyodo	0.236461
Tass	0.234749
Jana	0.232713
"Kyodo News Service"	0.219867
Tanjug	0.216463
"Business Times"	0.215983
ATA	0.215495
"Moscow Times"	0.210917
SAPA	0.210799
IRNA	0.210439
"Kyodo News"	0.207483
"Daily Times"	0.202543
Anatolia	0.195496
"Ghana News Agency"	0.192998
"Kathmandu Post"	0.192874
"Indonesian Observer"	0.187954
"Zambia News Agency"	0.185994
"Southern African Broadcasting Association"	0.185625
"Saudi Press Agency"	0.183003
"Tehran Times"	0.182283
"Korean Central News Agency"	0.182277
"Thai News Agency"	0.181588
"Zimbabwe News Agency"	0.18065
PTI	0.180343
Noticias	0.180332
"Egyptian Middle East News Agency"	0.179574
"Rwanda News Agency"	0.179142
"Straits Times"	0.176931
"Kenya Times"	0.175832
APA	0.173245
Sowetan	0.172929
"Daily Star"	0.171811
"Egyptian Gazette"	0.16778
"Jakarta Post"	0.165544
TT	0.160755
"Athens News Agency"	0.160419
"Ethiopian News Agency"	0.159349
"Dow Jones Newswires"	0.159327
"Vietnam News"	0.158859
KUNA	0.158447
"Radio Uganda"	0.157656
"Turkish Daily News"	0.157099
"Philippine News Agency"	0.156955
"Australian Associated Press"	0.156949
"Kuwait News Agency"	0.156629
"New Nigerian"	0.156454
"Associated Press of Pakistan"	0.155579
AFP	0.153921
"United Press International"	0.152689
"Agence France-Presse"	0.152189
Sana	0.147758
APP	0.14713
"Ethiopian Herald"	0.147036
INA	0.146884
"Islamic Republic News Agency"	0.146702
"Daily Nation"	0.146508
"Business Day"	0.145982
"News Agency of Nigeria"	0.14581
"China Daily Business Weekly"	0.145619
"The New Vision"	0.14515
Itar-Tass	0.144674
"Khaleej Times"	0.142539
"Sydney Morning Herald"	0.140958
Haaretz	0.140198
"Iraqi News Agency"	0.140037
"El Pais"	0.139661
"South China Morning Post"	0.139447
"Nihon Keizai Shimbun"	0.139083
"El Mundo"	0.138914
"Post Express"	0.137807
Hurriyet	0.137745
"Press Trust of India"	0.137675
"New Vision"	0.13763
PAP	0.136076
"Alam Al Yom"	0.135772
"Antara News Agency"	0.135284
Kommersant	0.134947
"East African Standard"	0.133035
beta	0.131523
Interfax	0.130502
Asahi	0.128458
"Jerusalem Post"	0.127829
"Cyprus News Agency"	0.127036
ABS-CBN	0.126401
"press agency"	0.12439
"Nihon Keizai"	0.124153
dem	0.123968
NHK	0.122497
"Macao Daily News"	0.122007
"Bangkok Post"	0.121883
"New Straits Times"	0.121326
"Al Hayat"	0.120889
"U.S. Labor Department"	0.12061
"Information Center"	0.119707
Reuters	0.119566
"Gulf News"	0.119554
Yastrzhembsky	0.118832
Politika	0.118453
al-Hayat	0.118301
"South African Press Association"	0.118158
"British Broadcasting Corporation"	0.117904
"Middle East News Agency"	0.115339
"Jordan Times"	0.115168
"Beijing Daily"	0.11386
"Yomiuri Shimbun"	0.113439
"Business Weekly"	0.113181
Granma	0.112478
"Le Monde"	0.111899
"Israel Radio"	0.111828
"Zambia Daily Mail"	0.111514
"Financial Mail"	0.110436
"Iran News"	0.109624
Maariv	0.108784
"Anatolia News Agency"	0.108312
"Beijing Youth Daily"	0.1081
"New Light"	0.107528
"Vietnam News Agency"	0.107452
"China Daily"	0.106688
"Washington Times"	0.106615
"Press Trust"	0.106139
"Asahi Shimbun"	0.105139
"Wenhui Daily"	0.104999
"Daily Telegraph"	0.103069
sid	0.10303
"Daily Mail"	0.101494
Malaya	0.101325
"Economic Daily"	0.101226
"National Association of Realtors"	0.100982
Yomiuri	0.100784
CNA	0.100691
Al-Ahram	0.0996507
CTV	0.0996322
"The Monitor"	0.0995751
"Nhan Dan"	0.0994313
"Jerusalem Media and Communication Center"	0.0990203
"Der Spiegel"	0.0983636
Sha	0.0977541
Reforma	0.0971978
ISTAT	0.0957271
"China Youth Daily"	0.0951668
"Xinhua News Agency"	0.0920374
"Seattle Times"	0.0909259
NTV	0.0896415
"Detroit News"	0.0895693
TC	0.0887404
Inquirer	0.0886955
Eurostat	0.0882577
RNA	0.0875952
Velayati	0.0874944
"Le Figaro"	0.0873422
sms/gm	0.0872604
Ruehe	0.0871151
"East African"	0.0869728
"Al Ahram"	0.0868582
L'Equipe	0.0868318
"Central Bureau of Statistics"	0.0844547
"International Business Daily"	0.0842364
"Boston Herald"	0.0839954
"Yediot Ahronot"	0.0829575
"Guangming Daily"	0.0820879
Akbar	0.0815991
"Bloomberg News"	0.0815114
"Kosovo Information Center"	0.0809087
Azad	0.0794027
Fernandes	0.0793694
Malu	0.0791321
JMCC	0.0789178
Dar	0.0785699
Spiegel	0.0784358
"Statistics Canada"	0.0781249
"Financial Times"	0.0780621
MIA	0.0777552
"news service"	0.0769807
"St. Louis Post-Dispatch"	0.0764033
"Advertising Age"	0.0753189
"Daily News"	0.0750187
Dominion	0.074555
SSB	0.0744655
"Conference Board"	0.074184
"National Post"	0.0739719
Sera	0.0735275
"Evening Standard"	0.0730695
Manley	0.0726338
"Bureau of Labor Statistics"	0.0721931
Harmoko	0.0712481
Ji	0.0710285
"Detroit Free Press"	0.0709229
))
(BSA (desc 757.442) (sims
CCF	0.142784
IAI	0.138963
CPAFFC	0.126755
ADL	0.125989
DFB	0.113639
"U.S. Soccer Federation"	0.113523
CWA	0.113413
MPAA	0.10753
ITTF	0.107268
RIAA	0.105912
CIRC	0.105271
IEC	0.103761
PETA	0.103314
CPSC	0.102837
AOC	0.102406
PNP	0.101988
AmCham	0.101397
AFA	0.100997
ACFTU	0.100561
MII	0.0990498
HCFA	0.0976886
OCA	0.0975657
CAA	0.0968705
Corel	0.0958124
"EU Commission"	0.0942409
NHTSA	0.0942004
UMNO	0.0940745
ACWF	0.0930729
TDB	0.0930638
"Israeli Foreign Ministry"	0.0927199
UNIP	0.0925287
SPS	0.0921993
CNOOC	0.0914754
Histadrut	0.0909673
"Georgia Power"	0.0906871
BNFL	0.0905705
"Los Angeles City Council"	0.0900567
PSE	0.0896571
NARAL	0.0892389
UTC	0.089103
AEC	0.0883357
Pertamina	0.0877017
WEF	0.0869302
CSA	0.0867182
"Public Security Ministry"	0.0859322
"Local @@"	0.0858847
"machinists union"	0.0857728
"U. N."	0.0857013
SPC	0.0855678
SFA	0.0845985
IEA	0.0845477
"Business Council"	0.084529
CCPIT	0.0839363
"Allied Pilots Association"	0.0838964
Nepa	0.0838334
"Urban League"	0.0835743
"Home Ministry"	0.0832724
"US State Department"	0.0832642
HKFA	0.0822683
APA	0.0817878
ITC	0.0816901
"Motion Picture Association of America"	0.0816436
IPU	0.0810057
"Transport Ministry"	0.0806907
"Information Ministry"	0.0801822
CFTC	0.0799298
DLC	0.0794419
RNC	0.0794276
CFA	0.0786099
ESCAP	0.0784274
IMS	0.0783714
NSA	0.0780449
ILO	0.0779597
"NFL Players Association"	0.0777949
"New York Civil Liberties Union"	0.0777586
UCI	0.0776875
"Health and Welfare Ministry"	0.0774744
"Housing Authority"	0.0773222
UML	0.0773025
"International Red Cross"	0.0772047
UAW	0.0769853
FSA	0.0769169
"Thai Foreign Ministry"	0.0766919
F.A	0.0765708
"J&AMP;J"	0.0765484
SDPC	0.0765182
CDB	0.0764953
CEC	0.0764233
CPP	0.0756566
UC	0.0756281
"South African Airways"	0.0755748
Starwood	0.0754112
"Defense Agency"	0.0748937
SCLC	0.0748455
ITF	0.0747501
EBRD	0.0745595
NSC	0.0745135
USTA	0.0744861
CAS	0.0743969
"Association of Flight Attendants"	0.0741882
ZCTU	0.0736201
"ABC Sports"	0.0736166
USATF	0.0735027
"Agriculture Ministry"	0.073387
HHS	0.0733224
BOC	0.0732744
BSF	0.0731369
CNTA	0.0730972
CSRC	0.0729276
"U.S. Defense Department"	0.0726339
CMA	0.0725498
IU	0.0725218
ama	0.0725078
PSG	0.0724891
NCEC	0.0722945
KDP	0.0720339
MDC	0.0720103
"Culture Ministry"	0.0719413
ISU	0.0715533
KPA	0.07143
"Sam Rainsy Party"	0.0713559
KPU	0.0713551
CNPC	0.0712771
"Department of Corrections"	0.0712629
Alioto	0.0710463
"Humane Society"	0.0706948
"Wine Institute"	0.0706477
"American Association of Health Plans"	0.0705872
ICBC	0.0705792
"Screen Actors Guild"	0.0704529
CCB	0.0701738
"National Education Association"	0.0699793
JAL	0.0699637
"U.S. Census Bureau"	0.0697266
"U.N. World Food Program"	0.0696555
CSC	0.0694764
ACLU	0.0694595
SDB	0.0690913
"British Foreign Office"	0.0690541
Britannica	0.0689507
"Medical Society"	0.068872
Loewen	0.0686112
ICRC	0.0686068
FEMA	0.0682263
TNI	0.0682152
CAAC	0.0681372
ARATS	0.0680937
NTRA	0.0676695
Arianespace	0.067399
SSB	0.0672943
LAUSD	0.0672469
"Ministry of Forestry"	0.0670808
CBK	0.0670654
CBI	0.067062
"U.S. Golf Association"	0.0669508
"Anti-Defamation League"	0.0668592
DEP	0.0667983
"Department of Public Safety"	0.0664818
"Russian Interior Ministry"	0.0664745
ITU	0.0663688
"Truth Commission"	0.066295
MQM	0.0661337
"U.S. Chamber of Commerce"	0.0657926
Kazak	0.0657712
CSE	0.0656108
PECC	0.065576
Botswanan	0.0654854
SPP	0.0652228
UFW	0.065131
Overnite	0.0650678
"Ministry of Civil Affairs"	0.0649495
"Department of Public Health"	0.0644084
"U.S. Congress"	0.0643506
UUP	0.0643098
"International Tennis Federation"	0.0642141
CWC	0.0640901
CASS	0.0640779
NEC	0.0639481
YankeeNets	0.0638904
NASD	0.0638488
COSCO	0.0637486
SETC	0.0636766
UGA	0.0636018
"International Ski Federation"	0.0635886
KONI	0.0630359
"Rotary International"	0.0629785
COSATU	0.0629713
FPL	0.062819
EC	0.0627995
Wada	0.0627741
AHA	0.0627693
"Palestine National Council"	0.0627383
USOC	0.062726
Mountie	0.0626832
CalPERS	0.0626803
PDVSA	0.0625557
"Recording Industry Association of America"	0.0624388
UNFPA	0.0624105
"Sea Launch"	0.0623989
Internet@	0.0623538
))
(BSE (desc 10287.5) (sims
CJD	0.196691
encephalopathy	0.158265
"Creutzfeldt-Jakob Disease"	0.144081
"foot-and-mouth disease"	0.142352
"dengue fever"	0.141312
Rabies	0.136223
"West Nile"	0.134677
encephalitis	0.132113
Dengue	0.130552
Meningitis	0.119924
"Human Immunodeficiency Virus"	0.11674
leprosy	0.116154
salmonella	0.115393
cholera	0.112939
malaria	0.112752
"food poisoning"	0.111972
disease	0.111354
polio	0.109993
rinderpest	0.109481
hepatitis	0.109398
HIV	0.108734
Hantavirus	0.108309
tuberculosis	0.108069
"AIDS virus"	0.10684
coli	0.10665
"hepatitis B"	0.106533
smallpox	0.105897
influenza	0.10517
"yellow fever"	0.101089
"hepatitis A"	0.0990043
"Lyme disease"	0.0981055
"lung cancer"	0.0973605
measles	0.0962869
"infectious disease"	0.0962099
Tb	0.0951007
syphilis	0.0939527
"Bombay Stock Exchange"	0.0925122
trachoma	0.0921229
typhoid	0.0920308
virus	0.0906868
canker	0.0902921
SIDS	0.0896301
"animal disease"	0.0895187
anthrax	0.0894116
HIV/AIDS	0.0891556
diarrhea	0.0876289
leukemia	0.0863017
dioxin	0.0859623
"communicable disease"	0.0858484
ebola	0.0856188
Dysentery	0.0854137
"contagious disease"	0.0851323
ailment	0.0828188
Parkinson's	0.0824711
"skin cancer"	0.0824366
epidemic	0.0821341
"sexually transmitted disease"	0.0803438
sclerosis	0.079734
infection	0.0796427
botulism	0.0784876
sickness	0.0784694
bacteria	0.0780495
"multiple sclerosis"	0.0773135
listeria	0.0770972
poliomyelitis	0.0769891
"acquired immune deficiency syndrome"	0.076281
malady	0.075702
"venereal disease"	0.075554
flu	0.0753947
"typhoid fever"	0.0748073
"colon cancer"	0.0745054
Osteoporosis	0.0741489
"Jakarta Stock Exchange"	0.0720562
"heart disease"	0.0715068
asthma	0.0714793
parasite	0.0712863
syndrome	0.0709566
"Karachi Stock Exchange"	0.0705207
"cardiovascular disease"	0.0704029
pneumonia	0.0701252
"lead poisoning"	0.0699053
IDD	0.0698586
lupus	0.0698075
variant	0.0693
aids	0.0692193
malnutrition	0.0689016
anemia	0.0680828
illiteracy	0.0679025
blindness	0.067809
"bubonic plague"	0.0676561
KLSE	0.0675739
illness	0.0670144
BSE-@@@	0.0667765
dementia	0.0664532
"HIV/ AIDS"	0.0663423
"Hong Kong Stock Exchange"	0.065998
"Parkinson's disease"	0.0650208
disorder	0.0647721
diarrhoea	0.0645075
contamination	0.0640965
infestation	0.0633897
O@@@:H@	0.0633828
als	0.0632588
STDs	0.063238
cancer	0.0628692
tetanus	0.0627495
pox	0.0625746
pandemic	0.0623511
"Kuwait Stock Exchange"	0.0616107
malignancy	0.0614549
fever	0.0613642
hypertension	0.0608763
cataract	0.0608701
germ	0.0608268
TSE	0.0607214
melanoma	0.0605753
"Philippine Stock Exchange"	0.0604902
gallstone	0.0598346
contagion	0.0596094
"brain tumor"	0.0595906
gastroenteritis	0.0595082
"coca crop"	0.0593827
diabetes	0.0589387
pest	0.058724
epilepsy	0.0581552
Obesity	0.0579849
"malignant tumor"	0.0576233
autism	0.0574286
cryptosporidium	0.0572068
poisoning	0.0568928
cow	0.0566307
defect	0.0560326
Chlamydia	0.0556074
"congestive heart failure"	0.0553125
"Dhaka Stock Exchange"	0.0548687
Alzheimer	0.0545721
lymphoma	0.0542912
Lyme	0.0537996
"forest fire"	0.0537226
"drug abuse"	0.0536175
"liver disease"	0.0534657
"muscular dystrophy"	0.0533544
"Tokyo Stock Exchange"	0.0524314
"tooth decay"	0.0523283
starvation	0.0521874
outbreak	0.0520656
Sensex	0.0519783
piracy	0.0516283
rustling	0.0516254
"rheumatoid arthritis"	0.0515167
"respiratory disease"	0.051425
gonorrhea	0.0513218
"Stock Exchange of Thailand"	0.0511854
"genetic disease"	0.0510605
deformity	0.0508475
sharemarket	0.0507579
"cystic fibrosis"	0.0506744
cirrhosis	0.050623
DAX	0.0500979
rollovers	0.0498313
famine	0.0496797
arrhythmia	0.0496716
fungus	0.0493956
degeneration	0.049169
schizophrenia	0.049082
Bourse	0.0490212
"CAC @@"	0.0489334
"water hyacinth"	0.0486276
symptom	0.0484718
microbe	0.0482822
hunger	0.048009
mutation	0.0476684
"cancer cell"	0.0476607
osteoarthritis	0.0475344
arthritis	0.047527
"Xetra Dax"	0.0473362
hemorrhage	0.0472487
diphtheria	0.047103
"power failure"	0.047013
graft	0.0470066
"eye disease"	0.0469456
pathogen	0.0468874
narcolepsy	0.0466669
infertility	0.0466092
"high blood pressure"	0.0465084
bacterium	0.0458315
fibrillation	0.0457791
giardia	0.0457362
bacillus	0.0456455
asbestos	0.0453432
DSE	0.0452941
"neurological disorder"	0.0451792
ulcer	0.0451639
CFCs	0.0450044
Bovespa	0.0447917
"kidney disease"	0.0446399
"plant disease"	0.0445308
tumor	0.0443327
CAC-@@	0.0440758
recidivism	0.0440589
))
(BSE-@@@ (desc 1701.11) (sims
"Stock Exchange of Thailand"	0.236799
"Kuwait Stock Exchange"	0.169669
"CAC @@"	0.167633
"Xetra Dax"	0.152964
"Karachi Stock Exchange"	0.148002
Bovespa	0.145988
"eight cents"	0.144209
FTSE	0.143051
DAX	0.138502
"one cent"	0.135419
"nine cents"	0.13098
"two cents"	0.126732
"Shanghai Composite Index"	0.12648
"FTSE @@@"	0.125747
CAC-@@	0.124382
Nikkei	0.12393
"five cents"	0.121446
SSE	0.114777
sharemarket	0.111782
DSE	0.106338
"Emas Index"	0.104487
MidCap	0.104385
"nearly @@@ points"	0.10199
"Sensitive Index"	0.100755
"three cents"	0.0991214
STI	0.0980465
PSE	0.0970714
"Philippine Stock Exchange"	0.0970177
"bond price"	0.0965305
CAC	0.095775
"Dow Jones Industrial Average"	0.0957059
"Hang Seng"	0.0955759
"over @@@ points"	0.0942825
STOXX	0.092492
"producer price"	0.092289
"Hong Kong dollar"	0.0909708
"Hang Seng Index"	0.0909432
industrials	0.0909168
"more than @.@ percent"	0.0904313
"Philippine peso"	0.0884858
"Dow Jones"	0.0869886
"Straits Times Index"	0.0867389
"Hang Seng China Enterprises Index"	0.0863622
"New Zealand dollar"	0.0856336
"Industrial Index"	0.0848651
KSE	0.0845128
IPC	0.0836821
benchmark	0.0827416
"Jakarta Stock Exchange"	0.0812156
"B share"	0.0808368
"Nikkei Stock Average"	0.080628
"share price"	0.0802685
"Australian dollar"	0.079688
"Straits Times Industrials Index"	0.0795911
"Composite Index"	0.079388
Sen	0.0777291
"Singapore Press Holdings"	0.077188
pivotals	0.0770104
"Weighted Price Index"	0.0746753
"table of contents"	0.0738449
Seng	0.0708209
interbank	0.0702177
"about @@ points"	0.0695475
physicals	0.0695187
"Hang Seng China-Affiliated Corporations Index"	0.069072
"South Korean won"	0.068479
"Weather Information"	0.0676449
"Second Board Index"	0.0675728
FT-SE	0.0675597
BSE	0.0667765
"up to @@.@ percent"	0.0659203
"Toronto Stock Exchange"	0.0650457
OCBC	0.0649648
"Vanguard Index @@@"	0.0629604
"British pound"	0.0629183
"another @.@ percent"	0.062262
"blue chip"	0.0620956
"nearly @@ points"	0.0620646
"about @.@@ billion dollars"	0.0619673
"blue-chip stock"	0.061232
"European Union's"	0.0611616
Ruehe	0.06098
Rothenberg	0.0608401
"more than @@@ points"	0.0605616
Sensex	0.0600559
three-tenths	0.0594611
shilling	0.0594604
"Canadian dollar"	0.0583294
"about @@@ points"	0.0575186
"five spot"	0.0574122
"more than @@ points"	0.0569809
"Commonwealth Bank"	0.0568287
year-on-year	0.0568286
ANZ	0.0565974
leu	0.0565753
third-quarter	0.0560847
Fernandes	0.055856
"futures price"	0.054884
"American Stock Exchange"	0.0545783
"Shanghai Stock Exchange"	0.0543975
"price index"	0.0543897
"Kuala Lumpur Stock Exchange"	0.0540299
Bautista	0.0531583
"Nairobi Stock Exchange"	0.0525089
details	0.0523576
"another @"	0.0520464
rupiah	0.0515606
"First Section"	0.0515216
HSI	0.0511817
CSE	0.0506849
"Standard &AMP; Poor"	0.0504854
second-quarter	0.0502512
"Foreign Exchange Rates"	0.0500295
"NASDAQ Composite Index"	0.0499044
fineness	0.0498086
NYSE	0.0494861
bullion	0.0494236
"U.N. World Food Program"	0.049304
"Bovespa Index"	0.0490743
"nearly $@"	0.049019
Wilhelm	0.0489787
Gullit	0.0488853
Scharping	0.0487794
"Straits Times"	0.0484693
Rifkind	0.0484271
two-tenths	0.0478248
Duvalier	0.0475023
"Bombay Stock Exchange"	0.0474188
KLSE	0.0472033
Havelange	0.0471955
"money changer"	0.0471435
Haines	0.0469543
sucre	0.0468569
"Kenyan shilling"	0.0467503
"Jerusalem Post"	0.0466558
Holl	0.0465336
lev	0.0463834
Pct	0.0462085
sub-index	0.0460148
"New Vision"	0.0452589
Malik	0.045186
Advani	0.044826
Malu	0.0447616
Severino	0.044509
Westpac	0.0444904
dinar	0.0444503
diffusion	0.0444126
"Producer Price Index"	0.0444053
"retail price"	0.0443013
"fishing season"	0.0442125
"More than three quarters"	0.0441977
"cash crunch"	0.0441663
"tax change"	0.0439859
"Commonwealth Bank of Australia"	0.0435514
affordability	0.0434988
"Indian rupee"	0.0433484
Carrera	0.0433297
Newsome	0.0433145
Velayati	0.0432245
"leading indicator"	0.0431362
"International AIDS Conference"	0.0431095
"Impossible @"	0.0430517
rupee	0.0430059
"East African Standard"	0.0429248
Surin	0.0428584
SIA	0.0428309
"Shenzhen Stock Exchange"	0.0427954
"Deutsche Mark"	0.0424113
"Philippine Stock Exchange Index"	0.0423867
"Fortune Global Forum"	0.0423461
tenths	0.0421855
Nasrallah	0.042067
Kasoulides	0.0419706
libero	0.0418859
"four inches"	0.0417998
Villar	0.0417445
"basis point"	0.041738
Markovic	0.0415876
"liquidity problem"	0.0413004
"Dhaka Stock Exchange"	0.0411224
twenty-six	0.0409635
"de Charette"	0.0409634
SAPA	0.0408316
"one dollar"	0.0408202
Boueiz	0.0408092
Guterres	0.0408027
Twenty-seven	0.0407775
"Liberty Media"	0.0407475
"Lee Hsien Loong"	0.0403816
"packing plant"	0.0403371
"market average"	0.040318
Fieger	0.0403169
))
(BSF (desc 814.23) (sims
PNP	0.226646
SANDF	0.194887
IRGC	0.136023
"U. N."	0.131267
UNAMET	0.128215
UPDF	0.126774
"South African National Defense Force"	0.125961
"civil defense"	0.123033
coastguard	0.120978
INTERFET	0.120732
OCA	0.118704
TNI	0.118094
"Defense Agency"	0.113879
peacekeeping	0.113865
PBSI	0.112499
"Israeli Army"	0.107403
CAA	0.107063
"Israeli Foreign Ministry"	0.105686
UNIFIL	0.105247
"U.S. Air Force"	0.105216
CSA	0.104611
"U.S. Defense Department"	0.102747
IDF	0.102613
"Russian Interior Ministry"	0.102428
RRA	0.102223
KPA	0.101165
"Home Ministry"	0.0967523
"Russian Navy"	0.0967273
Carneal	0.0966554
"British Foreign Office"	0.0962802
RUC	0.0952695
guardsmen	0.0952651
PLA	0.0935525
GSS	0.0932631
Nepa	0.092561
Palczynski	0.0915932
"U.S. Soccer Federation"	0.0915199
"Bosnian Muslim"	0.0912611
CIRC	0.0910938
MKO	0.0899644
UNAMSIL	0.0895836
KFOR	0.0890665
airforce	0.0887254
CCF	0.0883198
"fire brigade"	0.0883138
SPP	0.0879835
NSC	0.0879781
COSATU	0.0879528
SDPC	0.0862453
IAF	0.0862324
"Indian Air Force"	0.0859239
IFOR	0.084882
SLA	0.0847615
"Royal Canadian Mounted Police"	0.0838184
IAI	0.083446
ICRC	0.0831991
BOI	0.0823094
gunboat	0.0817148
CSE	0.0816744
CEC	0.0815068
INEC	0.0814087
UNFICYP	0.081333
DEP	0.0813243
SSB	0.0811559
SPLA	0.0811045
"South Vietnamese"	0.0810063
NPA	0.080867
Dodik	0.0806476
"Turkish Foreign Ministry"	0.080346
"military police"	0.0802793
Hightower	0.0802151
"Russian Defense Ministry"	0.0801205
RAF	0.0800177
ELN	0.0795812
"National Guard"	0.0791561
"Russian Space Agency"	0.0785142
Ribbeck	0.0784376
"Culture Ministry"	0.0781182
ABRI	0.0781104
"U.S. Immigration and Naturalization Service"	0.0770588
FSA	0.0770391
OPM	0.0769946
"Civil Aviation Authority"	0.0767818
Renamo	0.0764281
"Marine Corps"	0.0762298
"Essex County"	0.0757895
CPV	0.0756421
"U.S. Treasury Department"	0.0752051
Carollo	0.075102
"National Guardsmen"	0.0747501
SAS	0.0747229
LRA	0.0746672
"Bosnian Croat"	0.0745549
USAID	0.0743756
IEA	0.074207
counterterrorism	0.0738454
"Transport Ministry"	0.0736989
"Interior Ministry"	0.0733363
"Royal Navy"	0.0732466
tribesman	0.0732432
BSA	0.0731369
"Gulf War"	0.0730749
Ashbrook	0.0730409
"border patrol"	0.0727743
Thirty-nine	0.0724245
"Yugoslav Army"	0.0719387
gendarmerie	0.0718654
Cs	0.0713427
WIPO	0.0712578
MCC	0.0708871
"US State Department"	0.0708413
AHP	0.070807
EPR	0.0707757
NATO-led	0.0707042
U.N	0.070598
IAEA	0.0705098
DSE	0.0703276
HKMA	0.0702251
"Columbia Pictures"	0.0697706
ZCTU	0.0697289
UNTAET	0.0695312
UUP	0.0692413
EOHR	0.0691228
Genzyme	0.0689725
SEF	0.0689281
"Agriculture Ministry"	0.0687562
MII	0.0686583
VFW	0.0685765
Alcantara	0.0685028
"Russell Peeler"	0.0684895
"National Police"	0.0683641
RCD	0.0680761
"Football Association"	0.0676646
"Ethnic Albanian"	0.0676116
Overnite	0.0675227
"Economic Planning Agency"	0.067344
WNBF	0.0668996
inspectorate	0.0668008
counterintelligence	0.0667812
"about @@@ to @@@"	0.0667784
"Information Ministry"	0.0666891
Napolitano	0.0665464
FRELIMO	0.0664701
Starwood	0.0663285
Comelec	0.0663096
ACOG	0.0662527
"Public Security Ministry"	0.0658445
"U.S. Customs Service"	0.0654153
SPS	0.0653592
"another nine"	0.0652715
CFA	0.0652668
CPSC	0.0652495
"Mission Control"	0.0651853
Mckee	0.0647591
OAS	0.0646596
"Special Forces"	0.0646336
"Indonesian Military"	0.0643895
Warshaw	0.064326
SETC	0.0643152
Malu	0.0642546
Sandinista	0.0640723
Strauss-Kahn	0.0640315
CDU	0.0640137
Coe	0.0640029
Makah	0.0638343
SBA	0.0638199
ACWF	0.0637219
CBK	0.0635303
THA	0.0635237
"Labor Ministry"	0.0634523
GPU	0.0634357
DFB	0.0633666
"Thai Commerce Ministry"	0.0632464
"Medical Society"	0.0631887
AEC	0.0631542
RNC	0.0631521
"Nuclear Regulatory Commission"	0.0631086
HCFA	0.0630407
PBOC	0.0628494
CAAC	0.0628471
"Northern Fleet"	0.0628199
UML	0.062723
"American plane"	0.0627209
"Sydney Olympic"	0.0625121
MTA	0.0624736
"Thai Foreign Ministry"	0.0623233
"murder suspect"	0.0623196
tribesmen	0.0623034
"Scotland Yard"	0.0621769
EBRD	0.0621388
"secret police"	0.0620799
UNMOVIC	0.0619731
"Truth Commission"	0.0618931
PECC	0.0618533
"Department of Public Safety"	0.0618365
Lue	0.06183
"Labor office"	0.0617148
MOFTEC	0.061704
"Air National Guard"	0.0614885
"Commerce Ministry"	0.0614597
))
(BSKyB (desc 5546.33) (sims
Vodafone	0.175344
Olivetti	0.169625
"Canal Plus"	0.160037
"Cable &AMP; Wireless"	0.155416
"Phelps Dodge"	0.154718
Totalfina	0.148616
Litton	0.138322
"Bank of Scotland"	0.135264
"News Corp."	0.128734
LVMH	0.128601
"Banque Nationale"	0.128055
DirecTV	0.127998
ENTERGY	0.127761
"Vodafone AirTouch"	0.125521
"Deutsche Telekom"	0.124751
NTL	0.12405
WorldCom	0.123798
Vivendi	0.121958
Qwest	0.117004
"Pacific Century"	0.116018
NHK	0.115232
"France Telecom"	0.114157
REPSOL	0.113426
CMGI	0.112105
Mannesmann	0.112019
Seagram	0.110459
"Telecom Italia"	0.109743
VoiceStream	0.108638
PLDT	0.108472
Petrofina	0.105943
Carlton	0.104301
Comcast	0.103724
NatWest	0.103396
"USA Networks"	0.103187
Telefonica	0.102423
Televisa	0.101075
NiSource	0.100821
Viacom	0.100786
McKesson	0.100371
"MCI WorldCom"	0.0999787
Mediaone	0.0997301
"Tribune Co."	0.0995797
"Bausch &AMP; Lomb"	0.099448
"News Corp"	0.0994288
"BP Amoco"	0.0991515
UAL	0.0988987
iTV	0.0985081
ExciteAtHome	0.0984152
Deutsche	0.0971887
"National Grid"	0.0962164
"WorldCom Inc."	0.0951487
"America Online Inc."	0.0946746
"Cox Communications"	0.0911808
Stratus	0.0910345
TCI	0.0909665
"Total Fina"	0.0908275
Cablevision	0.0907947
WPP	0.0907385
"Global Crossing"	0.0907151
Gazprom	0.0905429
MCI	0.0904768
"Royal Bank"	0.089913
"Times Mirror"	0.0894527
TYCO	0.088842
Bertelsmann	0.0886981
ORT	0.0886032
RJR	0.0885775
"Hongkong Telecom"	0.0884858
Mattel	0.088184
"Deutsche Bank"	0.0877043
ABS-CBN	0.0874752
NationsBank	0.0870748
Halliburton	0.0870437
EarthLink	0.0866422
SDL	0.0862924
Genzyme	0.0861896
Eurotunnel	0.086106
SAirGroup	0.0860338
Drugstore.com	0.0858162
Unilever	0.0855568
"Tele-Communications Inc."	0.0853982
Hasbro	0.0853427
RealNetworks	0.0848379
GANNETT	0.0847148
"Allied Signal"	0.0842921
Comsat	0.0837054
YPF	0.083511
AMR	0.083432
Exxon	0.0832964
"Fannie Mae"	0.0831189
"True North"	0.0828501
Nextel	0.0827086
"Air Canada"	0.0826522
Murdoch	0.0819393
Alcatel	0.0817834
ALZA	0.0817092
"HBO &AMP; Co."	0.081689
Alcoa	0.0815325
Infoseek	0.0814466
Astra	0.08134
Renault	0.0811805
"Sky TV"	0.0810527
Lycos	0.0805478
"Bell Atlantic"	0.0803985
VICKERS	0.0801108
Gilead	0.0800527
AIG	0.0800119
Daimler-Benz	0.0797397
AstraZeneca	0.079695
Nortel	0.079621
CNET	0.0794989
Paxson	0.0791951
"Liberty Media"	0.0791626
Starwood	0.0790938
WebMD	0.0790911
"Vivendi SA"	0.0790028
Norwest	0.078952
Bestfoods	0.0788613
Conoco	0.0787434
WELLPOINT	0.0786074
"Sara Lee"	0.0782052
"Time Warner"	0.0781002
"Orange PLC"	0.0778888
Aetna	0.0777515
YankeeNets	0.0776299
Sunbeam	0.0776061
Genentech	0.0774068
Corning	0.0773468
Rai	0.077231
Telecom	0.0767475
"Computer Associates"	0.0766124
Aegon	0.0765203
"Learning Co."	0.0764239
SFX	0.0762472
Pfizer	0.0758615
"Hearst Corp."	0.075693
Cendant	0.0756878
"Conde Nast"	0.0755946
NORTHROP	0.0755673
"Societe Generale"	0.0755588
Checkfree	0.075226
Lemieux	0.0750019
NTV	0.0748874
Amoco	0.0746206
"British Petroleum"	0.0745832
Univision	0.0745499
"T Corp."	0.0742215
Pearson	0.0741654
"British Aerospace"	0.073926
MindSpring	0.0738071
Omnicom	0.0736312
CMG	0.0735233
Fiat	0.0731104
iXL	0.0730089
EMC	0.0729817
Emulex	0.0728358
BCE	0.0724953
BellSouth	0.0724132
NTT	0.0722812
Aerospatiale	0.0721886
ZIFF-DAVIS	0.0717679
SmithKline	0.0717273
Alcan	0.07172
Priceline.com	0.0715821
"De Beers"	0.0714171
"U S West"	0.0712893
Healtheon	0.0712634
Georgia-Pacific	0.0712375
"Chronicle Publishing"	0.0709995
"U.S. Trust"	0.0709836
Healtheon/WebMD	0.07093
"Gannett Co."	0.0709215
ITT	0.0708223
"GE Capital"	0.0707758
"Vodafone Airtouch PLC"	0.0707525
SBC	0.0706935
"Softbank Corp."	0.0706565
CSX	0.0706429
PolyGram	0.0706195
Terra	0.0705931
NetZero	0.0705643
Enron	0.0702733
Monsanto	0.0698942
ARCO	0.0698831
Publicis	0.0697722
Lagardere	0.0696365
AMP	0.0694778
HSBC	0.0693923
"Viacom Inc."	0.0692742
"CMGI Inc."	0.0692646
Daimler	0.0692577
Cadbury	0.0691292
Amgen	0.0690242
Instinet	0.0689817
Telstra	0.0689417
AlliedSignal	0.0688619
"HSBC Holdings"	0.0688003
Chiron	0.0687209
BankAmerica	0.0686862
Airtouch	0.0686173
))
(BSO (desc 1969.86) (sims
"Boston Symphony Orchestra"	0.255992
ASO	0.180301
"New York Philharmonic"	0.173523
"Boston Symphony"	0.171407
"Berlin Philharmonic"	0.118007
KPA	0.116693
Nepa	0.110979
TAZARA	0.110329
Philharmonic	0.104861
"Cleveland Orchestra"	0.100504
"Royal Ballet"	0.1002
"Philadelphia Orchestra"	0.0988398
"Sdn Bhd"	0.098184
"Boston Pops"	0.090668
CCA	0.0857208
WEF	0.0853188
Kimbell	0.0839849
Massport	0.083236
"Vienna Philharmonic"	0.0778612
Opry	0.0741712
DMA	0.0741555
ATC	0.0714613
Bocelli	0.070416
"first CD"	0.067171
"City Opera"	0.0623138
NIC	0.0617398
IU	0.0611759
CSE	0.0603726
"Ballet Theater"	0.0602001
USTA	0.060161
"Whitney Museum"	0.0600837
MFA	0.0599395
Spano	0.0599253
iss	0.0597043
Spoleto	0.0594019
"Public Theater"	0.0582436
SEPA	0.0581241
SUNY	0.0580267
"ballet company"	0.0572602
IEA	0.0570338
Airways	0.0569824
"Kennedy Center"	0.0561702
DKB	0.0557034
BLM	0.0551166
ENTERGY	0.0543422
Ducati	0.054321
PICC	0.0541492
Telkom	0.0539132
ADL	0.0537187
"Columbia Records"	0.0534121
ama	0.0533083
Drexel	0.0532887
"New York City Ballet"	0.0529357
"De Soto"	0.0527501
NSA	0.0519306
SFA	0.0518947
SLOC	0.051812
HKTA	0.0517953
Strauss	0.0514631
Ozawa	0.0513662
"Horned Frogs"	0.0509937
"Metropolitan Opera"	0.0509824
CAA	0.0508802
GEC	0.0508698
"Ethics Commission"	0.0506293
ACLU	0.0503825
WIPO	0.050342
USAID	0.0501963
CSA	0.0501311
ou	0.0501
Guggenheim	0.0499921
DFG	0.0497315
MSF	0.0497241
"Cable &AMP; Wireless"	0.0493729
Perec	0.0490674
Lucasfilm	0.0490412
ABSA	0.0488952
CAAC	0.0487346
IAI	0.0487218
UNEP	0.0485614
BNFL	0.0482644
"La Scala"	0.0482408
"Stride Rite"	0.0478515
UNIDO	0.0478298
Pacifica	0.0477897
Hartwig	0.047734
ACB	0.0477337
INEC	0.0475713
"Hearst Corporation"	0.0470851
Siripongs	0.0470201
"Big Blue"	0.0469299
SAS	0.0468665
NLRB	0.0468106
Mahler	0.0465115
"Ayatollah Khomeini"	0.046479
"Lilith Fair"	0.046358
K-State	0.0463495
Comelec	0.0462581
mem	0.0461978
"Sara Lee"	0.045951
SDPC	0.045947
NCR	0.045879
Eskom	0.0458662
"Boys Ranch"	0.0453156
GPU	0.0449793
CMA	0.0448282
"Royal Opera House"	0.0445812
CRI	0.0445146
MTA	0.0441527
"Russian Space Agency"	0.0440683
TDB	0.0439605
"Sky Harbor"	0.0439305
"BancBoston Robertson Stephens"	0.0438502
Arianespace	0.0438117
AFA	0.0437144
Bi	0.0437073
"NFL Players Association"	0.0435485
"Brooklyn Dodgers"	0.0432748
NRC	0.0432182
UNC	0.0431712
UW	0.0431304
Oneidas	0.0428538
"Salt Lake Organizing Committee"	0.0428448
OSU	0.0427814
FEMA	0.0426882
"Kenya Airways"	0.0426839
FSA	0.0425877
"Big West"	0.0425256
Blanton	0.0424304
Presley	0.0423604
sub-par	0.0422532
Putnam	0.042252
Uri	0.0421406
"USA Basketball"	0.0421066
HCFA	0.0420886
MIA	0.0419378
PBSI	0.0419086
Allchin	0.0418295
Springsteen	0.0417778
"Park Service"	0.0417212
Dodgertown	0.0416967
UMass	0.0416445
Overnite	0.041642
"Deutsche Grammophon"	0.041571
UNDCP	0.0415286
Phish	0.0415106
"Players Association"	0.0413705
CWS	0.0413443
"Freedom Forum"	0.0412548
Tenneco	0.041234
CUNY	0.0412066
GSS	0.0410723
Sibneft	0.0410458
Lobos	0.040803
IFC	0.0407762
VENATOR	0.0407594
"Culture Ministry"	0.040659
"New York Civil Liberties Union"	0.0406188
Wyeth	0.0405567
iXL	0.040528
Monkees	0.0405241
FSU	0.0404886
ISU	0.0404444
Coolidge	0.0404338
"rhythm section"	0.0403544
Ingalls	0.0403289
"Civil Aviation Authority"	0.0401309
Northpoint	0.0400812
Mavs	0.0400585
))
(bt (desc 73242.2) (sims
V	0.409056
qualifier	0.174823
beat	0.163588
seed	0.159946
def	0.130309
compatriot	0.125924
countryman	0.0898279
champion	0.0874477
"tennis player"	0.0738687
"number one"	0.0719941
"Czech Republic"	0.0638998
finalist	0.063817
titlist	0.0619501
"Dalian Wanda"	0.0604085
semifinalist	0.0591319
runner-up	0.0527593
Slovakia	0.0465124
Croatia	0.0453765
Spain	0.0446937
club	0.0442058
Latvia	0.0438673
Netherlands	0.0434249
"Chinese Taipei"	0.0431328
medallist	0.0430439
runners-up	0.0427729
Lithuania	0.0402669
Sweden	0.0402248
))
(Bu (desc 6330.09) (sims
"Boston University"	0.163934
Dartmouth	0.139896
Brandeis	0.124971
Princeton	0.114929
Yale	0.112844
MIT	0.111222
KU	0.105161
IU	0.100938
UGA	0.1009
"Florida State University"	0.100569
Cornell	0.0997181
Harvard	0.0996337
SUNY	0.097894
"University of Texas"	0.0967995
"Indiana University"	0.0964561
"University of Georgia"	0.0957208
"San Francisco State University"	0.0950294
Emory	0.0948265
"Boston College"	0.093706
"Brown University"	0.0914903
"University of Washington"	0.0911018
"University of Chicago"	0.0887751
"University of Oklahoma"	0.0886894
"University of Kentucky"	0.0864693
UW	0.0854839
"Ohio State University"	0.0851074
Unh	0.0840162
"University of Dayton"	0.0838739
"Holy Cross"	0.08332
"University of Michigan"	0.0833165
"University of Connecticut"	0.0821429
UT	0.0816888
"University of South Carolina"	0.0813217
"Harvard Business School"	0.0811777
Radcliffe	0.0811224
"University of Minnesota"	0.0808696
"Cornell University"	0.080804
NAU	0.0806363
"Harvard Law School"	0.0801636
"University of Florida"	0.0801243
Stanford	0.0798513
WSU	0.0795515
"Trinity College"	0.0793713
UA	0.0793443
"University of Rhode Island"	0.0792128
"Johns Hopkins"	0.0789791
"University of Houston"	0.0789373
"Brandeis University"	0.0787219
UMass	0.0783583
"University of Illinois"	0.0781234
"Yale Law School"	0.0776295
"Emory University"	0.077494
tuft	0.077431
"Georgia State University"	0.0768802
"University of Tennessee"	0.0768091
"University of Kansas"	0.0761001
northeastern	0.0755274
NYU	0.0754066
"University of Arkansas"	0.0749995
"University of Miami"	0.0746375
Georgetown	0.0745009
"University of North Carolina"	0.0744323
"Cal State Northridge"	0.0741969
"University of Pittsburgh"	0.0740614
Fordham	0.073881
Lehigh	0.0738021
"University of Arizona"	0.0737503
"Harvard University"	0.0735144
"University of Cincinnati"	0.0734295
SFA	0.0734075
"Yale university"	0.0726885
"Syracuse University"	0.0725827
UC	0.0725251
UCLA	0.07247
"Princeton University"	0.0713067
"Baylor University"	0.0712822
"University of Massachusetts"	0.0712341
"Seton Hall"	0.0711666
"business school"	0.0705883
"City College"	0.0699914
"Georgia Tech"	0.0699469
"University of New Mexico"	0.0699013
Baylor	0.0697347
CSUN	0.0696029
"Texas Christian University"	0.0695521
"New York University"	0.0693098
Juilliard	0.0692485
"Nevada-Las Vegas"	0.069243
"law school"	0.0691034
UTA	0.0690863
"University of Pennsylvania"	0.0690475
"University of Virginia"	0.0689203
"University of Hawaii"	0.068449
K-State	0.0684218
BC	0.0679051
"University of Wisconsin"	0.0674044
USC	0.0673186
"Georgia State"	0.0672339
"University of Southern California"	0.0670431
Tulane	0.0669999
"Northwestern University"	0.0668411
"University of Maryland"	0.0666097
UCSF	0.0661943
UNC	0.0652987
"University of Iowa"	0.0652083
ou	0.0650543
"Long Beach State"	0.0649889
"Stanford University"	0.0648705
"Columbia University"	0.0643689
"Kennedy School"	0.0641933
"George Washington University"	0.0637406
ASU	0.0636025
"Duke University"	0.0634792
"Rutgers University"	0.0634707
"University of Missouri"	0.0632493
Vassar	0.0628235
"Purdue University"	0.06275
"University of Colorado"	0.0626836
Berkeley	0.06245
CUNY	0.0623004
"Georgetown University"	0.0622644
"Notre Dame"	0.0622507
"Harvard College"	0.0620151
"Hofstra University"	0.0619026
"Massachusetts Institute of Technology"	0.0618216
BYU	0.0617187
"Northeastern University"	0.0617095
Rutgers	0.061491
Pepperdine	0.0614317
UMKC	0.0613732
ITC	0.0613619
"College of Charleston"	0.0612981
SMU	0.0610561
"air force academy"	0.0610262
"West Point"	0.0602817
"Johns Hopkins University"	0.0600122
"Smith College"	0.0599655
CSU	0.0597219
"Brigham Young University"	0.0593379
Drexel	0.059068
"Louisiana State University"	0.0588679
"Crimson Tide"	0.0587189
"University of California"	0.0587045
Oxford	0.058684
"Arizona State University"	0.0583494
"UC Berkeley"	0.0582849
"Cambridge University"	0.0574595
"Dartmouth College"	0.0573132
Colgate	0.0565638
CalTech	0.0563471
"Howard University"	0.0562217
"Temple University"	0.0561365
"Rice University"	0.0560698
"Harvard Medical School"	0.0554152
"Auburn University"	0.0554006
"Beth Israel"	0.0551261
"Stony Brook"	0.0550871
"Horned Frogs"	0.055014
TCU	0.0545517
"Furman University"	0.054508
Northridge	0.0538295
Siena	0.0537564
"Qinghua University"	0.0537517
"Barnard College"	0.0536506
Cambridge	0.0536367
"Kansas State University"	0.0535607
OSU	0.053388
"University of Utah"	0.0533348
FSU	0.0533282
RPI	0.0532004
"Fighting Irish"	0.0529882
"University of Mississippi"	0.0527969
UNAM	0.0525915
Purdue	0.0524812
"State University of New York"	0.0523837
Grambling	0.0523442
"medical school"	0.0522302
"Division @"	0.0517565
"Fordham University"	0.0517023
NCI	0.0516139
"University of Maine"	0.0515514
"Iowa State University"	0.0515507
highschool	0.0514875
"Beijing University"	0.0514199
Columbia	0.0512674
UConn	0.0512465
"University of Alabama"	0.0511262
"Louisiana Tech"	0.0510873
UD	0.0510633
UNLV	0.0510135
"City University of New York"	0.0510054
"Con Ed"	0.0508636
"Ivy League"	0.0507023
Gonzaga	0.0506957
"Vanderbilt University"	0.0504702
"Washington State"	0.0504557
"Williams College"	0.0504201
Uri	0.0503874
"U.S. Soccer Federation"	0.0502516
"Iowa State"	0.0501498
))
(Bubb (desc 783.531) (sims
Schottenheimer	0.167614
Catacosinos	0.156
Joklik	0.154084
Bizimungu	0.138603
Pfeiffer	0.137423
Chadwick	0.135449
Schmid	0.128203
hough	0.125734
Murayama	0.123295
Whitsitt	0.121811
DIMON	0.120449
Zadornov	0.120178
Rivlin	0.119681
Singson	0.118569
Monson	0.117855
Sanan	0.116985
Rongen	0.113451
Sherrill	0.113078
Mokhehle	0.112946
Skuratov	0.112284
Sather	0.112226
Polian	0.112011
Bavasi	0.111174
Kumar	0.110962
Nanula	0.110956
"Rick Neuheisel"	0.110726
Kearin	0.110379
Cubas	0.109372
Mariucci	0.108758
Coulter	0.108327
Kassirer	0.10808
Passarella	0.107928
Beckwith	0.107928
Layden	0.107617
Ivester	0.107529
Graziano	0.107515
Bernabe	0.107236
Vogts	0.106603
Mahuad	0.106403
Meissner	0.106366
Zambrano	0.106119
Milbury	0.105627
Naumann	0.105522
Hiddink	0.105448
Greenwald	0.105249
"Rich Brooks"	0.104074
Brundtland	0.103843
ISSEL	0.103779
BARNICLE	0.103327
Nano	0.102851
Schaeuble	0.102591
Ponciano	0.102537
Spyridon	0.101902
Arbour	0.100622
Hoddle	0.100525
Milutinovic	0.0995906
Grunwald	0.0992299
Scioscia	0.0991617
"Mike Barnicle"	0.0982701
Heinrichs	0.0980857
Guthridge	0.0971159
Marineau	0.0967673
Barad	0.0966876
Venables	0.0960683
Godfrey	0.0957504
Lipponen	0.0954266
Waxman	0.0952792
Ruggiero	0.0947011
Reinhardt	0.0945838
Cowher	0.0945108
Cremins	0.0942994
Danner	0.0939141
Sununu	0.0937947
Ribbeck	0.0936773
Huizenga	0.0933011
Goldin	0.092662
Samaranch	0.0923495
Aliotti	0.0922293
Abernathy	0.0920851
Coelho	0.0920189
Wenger	0.0920169
Fleischer	0.0916245
Kazhegeldin	0.0915494
Papandreou	0.0914663
Cavallo	0.0914123
Reimer	0.091272
Tubbs	0.091113
Paxon	0.0906247
Koirala	0.0905237
Elliot	0.0904224
Thayer	0.090368
Romar	0.0902446
Billick	0.0902255
Pruett	0.0899696
Eskew	0.089968
Morgenthau	0.0896646
Summitt	0.0895282
Kirkpatrick	0.0894694
Bakaly	0.0892374
Scharping	0.0891229
Waddell	0.0888633
Lessig	0.0886344
Mukora	0.0885873
Sato	0.0881807
Gerstner	0.0880854
Quackenbush	0.0875758
Harmoko	0.0874585
Okada	0.0873639
"Breda Kolff"	0.0869852
Tobin	0.0868822
"Don Nelson"	0.0866925
Muckler	0.0866674
Holtz	0.0865998
Sampson	0.0864254
Boyle	0.0863943
Braun	0.0863873
Rhee	0.0862691
Kupchak	0.0861936
Wilkens	0.0860533
Banharn	0.0859229
Bettman	0.0858539
MIYAZAWA	0.085654
Talebi	0.0855344
Safir	0.0855122
Dehaene	0.0855072
Ganassi	0.0854212
Leyland	0.0854181
Wiseman	0.0847167
Betts	0.0841826
Buzek	0.0840056
Schott	0.0839471
"President Lee Teng-hui"	0.0839245
Hartsburg	0.0839242
Grasso	0.08386
Rubenstein	0.0838028
Havelange	0.0835717
Finkel	0.0835206
Granik	0.0831904
Donnan	0.0831036
"Tony Coelho"	0.0830694
Neuheisel	0.0829908
Fuente	0.0829837
Ritter	0.0829681
Slocum	0.0827385
Bucaram	0.082657
"Noboru Takeshita"	0.0823414
McNulty	0.0821791
Storin	0.0821121
Garcetti	0.0820972
Zuckerman	0.0820121
Napolitano	0.0819959
Marinovich	0.0815344
Meyer	0.0814299
"De Klerk"	0.0813731
Geiger	0.0810956
"P.V Narasimha Rao"	0.0809826
McKenna	0.0808797
"Dave Campo"	0.0808587
Sykes	0.0808499
Symington	0.0804781
Gauthier	0.0804651
Wolfson	0.0802066
Verney	0.0801736
Henning	0.0800777
Tomey	0.0800713
Tuberville	0.0795885
Colangelo	0.0795806
Irvan	0.079378
Lacroix	0.0793758
beamer	0.0793578
Chambliss	0.0790077
"Terry Collins"	0.0789409
Willes	0.0789383
Neeman	0.0787829
DeFrantz	0.078708
Hanna	0.07862
Coppola	0.0785758
Manley	0.0785725
Donahue	0.0785692
Snipes	0.0784705
Reiner	0.0784182
Calipari	0.0783863
Diouf	0.0783142
Majko	0.0780925
Mandelson	0.0780498
Masire	0.0780082
Nasser	0.0778265
Baer	0.0777998
Haskins	0.0777909
Camacho	0.0777007
Lombardi	0.0776975
Wasserman	0.0776401
Helton	0.0776375
Flanagan	0.0776155
Siegel	0.0775632
Rosenblatt	0.0774758
Yadav	0.077221
"Patricia Smith"	0.0771891
Troussier	0.0771024
Ozawa	0.0769483
))
(Bubba (desc 3587.37) (sims
choirboy	0.0615878
Marisleysis	0.0604095
Jimmy	0.0522174
Valerie	0.0511803
Robby	0.0506483
Gail	0.0493905
Vic	0.0487127
Chrissie	0.0485141
"shipwreck survivor"	0.047996
Cunanan	0.0476148
Bette	0.0475864
Abner	0.046464
"Marisleysis Gonzalez"	0.0462754
Scotty	0.0462359
pug	0.0462036
grandpa	0.0461171
Josh	0.0453558
Kevin	0.0449694
Agnes	0.0445819
Jedi	0.0443813
Eddie	0.0441537
Schoeneweis	0.0439889
Pete	0.0439521
Englishwoman	0.0438093
"Michael Skakel"	0.0438014
"big cat"	0.0429938
Bonner	0.0429331
Rachel	0.0427441
"Anakin Skywalker"	0.0423915
Boller	0.0423503
Hogarth	0.0422733
rube	0.0418473
Phillip	0.0416453
Kyle	0.0416001
Johnny	0.0411657
whomever	0.0410419
Andrew	0.0408619
"guitar player"	0.0406998
Sade	0.0405028
Chmura	0.0404452
Danny	0.0404138
Vinny	0.0402749
))
("Bubba Trammell" (desc 1950.88) (sims
"Jose Guillen"	0.299415
"Bruce Aven"	0.269364
"Lance Berkman"	0.262822
"Rich Becker"	0.252381
"Henry Rodriguez"	0.244797
"Quinton McCracken"	0.24379
"John Vander Wal"	0.242075
"Jeff Conine"	0.237839
"Bobby Higginson"	0.236537
"Matt Lawton"	0.236384
"Danny Bautista"	0.227972
Lankford	0.225479
"Eric Owens"	0.224392
"Jon Nunnally"	0.224382
"Mark Kotsay"	0.223365
"Luis Polonia"	0.222747
"Butch Huskey"	0.221653
"Dave Martinez"	0.22052
"Bobby Abreu"	0.218698
"Dmitri Young"	0.218567
"Tony Phillips"	0.216458
"Rob Ducey"	0.214204
"Carlos Lee"	0.212592
"Dante Bichette"	0.211967
"Matt Luke"	0.210686
"Marquis Grissom"	0.209101
"Brant Brown"	0.208175
"Joe McEwing"	0.207856
"Scott Spiezio"	0.207467
"Geoff Jenkins"	0.205818
"Matt Stairs"	0.203788
"Jermaine Dye"	0.200452
"Tony Graffanino"	0.197482
"Russ Johnson"	0.19692
"Jose Canseco"	0.196837
"Gerald Williams"	0.196339
"Rondell White"	0.194777
"Derrek Lee"	0.194024
Rolen	0.193767
"Luis Gonzalez"	0.192545
"Benny Agbayani"	0.191657
"Marvin Benard"	0.191342
"Stan Javier"	0.189603
"Fred McGriff"	0.188863
"Brady Anderson"	0.188624
"Cliff Floyd"	0.188138
"Scott Rolen"	0.187711
"Brian Giles"	0.187612
"David Ortiz"	0.186659
"Glenallen Hill"	0.185722
"Todd Pratt"	0.184353
"Trenidad Hubbard"	0.184215
"Preston Wilson"	0.183981
"Jeremy Giambi"	0.183674
"Karim Garcia"	0.183344
"B.J Surhoff"	0.183193
"Jeffrey Hammonds"	0.182119
Aurilia	0.181164
"Tony Batista"	0.181111
"Michael Tucker"	0.180823
"Ray Lankford"	0.177852
"Todd Walker"	0.177742
"Matt Franco"	0.177237
"Bill Spiers"	0.176786
"Eddie Taubensee"	0.17562
"Ron Gant"	0.174808
"Chad Curtis"	0.174628
"Raul Ibanez"	0.174166
"Lenny Harris"	0.173858
"Tom Lampkin"	0.173444
"David Dellucci"	0.173334
"Johnny Damon"	0.173274
"Richard Hidalgo"	0.173087
"Ruben Rivera"	0.173057
"Midre Cummings"	0.172111
"Will Clark"	0.171959
"Mike Lansing"	0.171747
"Phil Nevin"	0.17043
"Ellis Burks"	0.170138
"Joe Randa"	0.170066
"Mike Bordick"	0.169634
McGriff	0.169409
"Vinny Castilla"	0.168369
"Jeromy Burnitz"	0.167184
"Mike Sweeney"	0.165585
"Dave Hansen"	0.165305
"Terrence Long"	0.164265
"Paul Konerko"	0.163907
"Kelly Stinnett"	0.163851
"Derek Bell"	0.163635
"Daryle Ward"	0.162665
"Matt Mieske"	0.162636
"Brian Hunter"	0.162172
"Trot Nixon"	0.162044
"Ben Grieve"	0.161653
"Darren Bragg"	0.16152
"Bill Mueller"	0.161304
"Deivi Cruz"	0.160819
"Greg Vaughn"	0.160693
"Jason McDonald"	0.160557
"Tony Eusebio"	0.160307
"Carlos Beltran"	0.15975
"Damian Jackson"	0.159185
"Gary Sheffield"	0.158309
Fullmer	0.158205
"F.P Santangelo"	0.157815
"Bernard Gilkey"	0.157691
"Orlando Palmeiro"	0.156948
"Jose Vidro"	0.156935
"Brook Fordyce"	0.156153
"Miguel Cairo"	0.156032
"Melvin Mora"	0.155858
Bordick	0.155831
"Richie Sexson"	0.155605
"Gregg Zaun"	0.154747
"Jay Buhner"	0.154205
"Edgar Renteria"	0.153947
"Sean Casey"	0.153753
"Rich Aurilia"	0.153634
"Reggie Sanders"	0.153389
"John Mabry"	0.153201
"Magglio Ordonez"	0.152625
"Al Martin"	0.151841
"Doug Glanville"	0.151377
"Chris Widger"	0.151143
"Mike Cameron"	0.15089
"Tim Salmon"	0.150766
"Herbert Perry"	0.150266
"Jason Giambi"	0.150173
"Damian Miller"	0.149745
"Travis Lee"	0.149645
"Jose Cruz Jr."	0.149547
"Ricky Ledee"	0.149127
Tatis	0.148971
"Kevin Young"	0.148633
"Craig Counsell"	0.148316
"Jose Valentin"	0.148239
"Darren Lewis"	0.14817
"Roger Cedeno"	0.147732
"Mickey Morandini"	0.147575
Renteria	0.146781
"Juan Encarnacion"	0.146447
"Kevin Stocker"	0.146428
"Alex Gonzalez"	0.146379
"Kurt Abbott"	0.146043
"Erubiel Durazo"	0.145776
"Mike Simms"	0.145432
"Eric Davis"	0.145159
"Harold Baines"	0.145077
"Jeff Cirillo"	0.144876
"Paul Bako"	0.144536
"Jose Hernandez"	0.144481
"Pat Burrell"	0.144432
"Shawn Green"	0.144369
Cirillo	0.143703
"Jay Bell"	0.143615
"Troy O'Leary"	0.143537
"GERONIMO BERROA"	0.143311
"Gregg Jefferies"	0.142844
"Pat Meares"	0.141329
"Tony Clark"	0.141316
"Darryl Hamilton"	0.140739
Taubensee	0.140587
"Jeff Kent"	0.140205
"J.D Drew"	0.13983
"Carlos Baerga"	0.139788
Alfonzo	0.139396
"Miguel Tejada"	0.139351
"Corey Koskie"	0.13862
"Luis Lopez"	0.13848
"Brad Fullmer"	0.138467
"Eric Chavez"	0.138079
"Robin Ventura"	0.137912
"Ricky Gutierrez"	0.137726
Glanville	0.137292
"Vladimir Guerrero"	0.137218
"Brian McRae"	0.137188
"Moises Alou"	0.137128
"Dean Palmer"	0.136746
Bichette	0.135898
"Damon Buford"	0.13554
"Garret Anderson"	0.135098
"Tim Bogar"	0.134436
"Marty Cordova"	0.13361
"Ozzie Guillen"	0.1334
"Luis Alicea"	0.133296
"Keith Lockhart"	0.133235
"Jay Payton"	0.132926
"Craig Paquette"	0.132657
"Angel Pena"	0.132169
"Kirk Gibson"	0.132027
"Wally Joyner"	0.131775
"Greg Colbrunn"	0.131683
Glaus	0.131426
"Andy Fox"	0.131054
"Mark Smith"	0.131011
"Kevin Jordan"	0.130799
"Rickey Henderson"	0.130614
Higginson	0.130494
"Neifi Perez"	0.130459
"Rusty Greer"	0.129495
"Jason Varitek"	0.129382
"Cristian Guzman"	0.129351
Vidro	0.129101
"Mark Loretta"	0.128725
"J.T Snow"	0.127664
Sexson	0.127496
Abreu	0.127463
"Todd Hollandsworth"	0.127058
"Eric Karros"	0.126432
"Wil Cordero"	0.126052
Burnitz	0.125988
"Joe Carter"	0.125745
"Barry Bonds"	0.125338
"Edgardo Alfonzo"	0.125279
"Travis Fryman"	0.124538
"Todd Helton"	0.123769
"Tino Martinez"	0.12369
"Scott Hatteberg"	0.123102
"Gabe Kapler"	0.123046
"Raul Mondesi"	0.122884
Canseco	0.122823
"Peter Bergeron"	0.122748
"Tony Womack"	0.1221
"Manny Alexander"	0.122088
"Steve Finley"	0.121993
"Jim Leyritz"	0.121981
"Brian Daubach"	0.121545
"Charlie Hayes"	0.121458
"Tom Goodwin"	0.121203
"Ray Durham"	0.121031
"Ryan Klesko"	0.120347
"Shannon Stewart"	0.120215
"Carlos Delgado"	0.12019
"Larry Walker"	0.119749
Hollins	0.119109
"Todd Greene"	0.119075
"Mike Lieberthal"	0.118482
"Brian Jordan"	0.118376
"Desi Relaford"	0.118359
"David Bell"	0.118319
Karros	0.118119
Olerud	0.118033
"Ron Coomer"	0.117999
Trammell	0.117933
"Andruw Jones"	0.117687
"Roberto Kelly"	0.117555
"Fernando Vina"	0.117518
"Wade Boggs"	0.117467
"Royce Clayton"	0.117195
"Mike Stanley"	0.117189
"Devon White"	0.116932
"Rafael Palmeiro"	0.116748
"Bobby Bonilla"	0.11636
"Troy Glaus"	0.115723
"Chipper Jones"	0.1154
"Omar Vizquel"	0.115311
"Brent Mayne"	0.114945
"Bobby Smith"	0.114749
"Paul O'Neill"	0.114657
"Jorge Posada"	0.114649
"Darin Erstad"	0.114588
Biggio	0.114374
Klesko	0.113843
"Greg Myers"	0.11361
"Brian Johnson"	0.113432
Lugo	0.113158
"Albert Belle"	0.112907
Alomar	0.112779
Cedeno	0.112774
"Frank Thomas"	0.112496
"Manny Ramirez"	0.112192
Lawton	0.11216
"Ed Sprague"	0.111948
"Adam Kennedy"	0.111943
Lieberthal	0.111902
Valentin	0.111719
"Willie Greene"	0.11147
"Mike Lowell"	0.11134
"Barry Larkin"	0.111283
"Chris Gomez"	0.111141
Erstad	0.111113
"Rico Brogna"	0.110769
"Carl Everett"	0.110752
"Jason Kendall"	0.110578
"Bengie Molina"	0.110492
"Jim Thome"	0.110261
"John Jaha"	0.109869
Giambi	0.109828
Bagwell	0.109794
Agbayani	0.109792
Nevin	0.109604
DeShields	0.109594
"Quilvio Veras"	0.109309
DiSarcina	0.108343
"Mark Grudzielanek"	0.107984
Beltran	0.107816
"Shane Spencer"	0.107135
Javier	0.106938
Varitek	0.106888
"Sean Berry"	0.10641
"Frank Catalanotto"	0.10622
"Chad Kreuter"	0.106062
Frye	0.105769
Helton	0.104998
"Tony Gwynn"	0.104944
"Delino DeShields"	0.104823
"Tyler Houston"	0.104518
Castilla	0.103893
Ordonez	0.103557
"Chili Davis"	0.10353
"Craig Biggio"	0.103424
"Enrique Wilson"	0.103186
"Joey Cora"	0.103107
"Adrian Beltre"	0.102898
"Wilton Guerrero"	0.102888
"Tim Raines"	0.102773
Hidalgo	0.102527
Leyritz	0.102206
"Sandy Alomar"	0.101827
"Jeff Bagwell"	0.101779
Tejada	0.101673
Eusebio	0.101588
"Russ Davis"	0.101174
"Mark Grace"	0.101017
"Todd Hundley"	0.100983
"Kenny Lofton"	0.100657
"Javy Lopez"	0.100418
"Charles Johnson"	0.1004
"Rick White"	0.100327
Alicea	0.100204
"John Valentin"	0.100104
))
(bubble (desc 28358.4) (sims
boom	0.0906436
balloon	0.0697404
"bear market"	0.0696585
slump	0.0664793
crunch	0.0640386
downturn	0.0638618
mania	0.0635829
wave	0.0634295
surge	0.0620639
volatility	0.0616026
cloud	0.0613741
"bull market"	0.0613541
downdraft	0.0608425
gyration	0.0585813
particle	0.0574636
turbulence	0.0572745
meltdown	0.0561645
spiral	0.0557146
droplet	0.0556936
Correction	0.055347
euphoria	0.0547756
sell-off	0.0541991
dust	0.0534811
cocoon	0.0532895
commotion	0.0531874
craze	0.0528419
smoke	0.0524983
steam	0.0521553
catastrophe	0.0521542
panic	0.0519361
tire	0.0519225
froth	0.0516606
valuation	0.0513852
turmoil	0.0513156
recession	0.0512974
weakness	0.0506197
frenzy	0.0500834
foam	0.0498529
runup	0.0496174
meltdowns	0.0495513
maelstrom	0.0495335
fluctuation	0.0493374
blob	0.0490442
vapor	0.0488652
"hot air"	0.0487869
cycle	0.0485325
shakeout	0.0484083
miracle	0.048054
vacuum	0.0474714
"roller coaster"	0.0474378
instability	0.0473467
pipe	0.0472546
selloff	0.0470593
Ripple	0.0470393
phenomenon	0.0470182
Bud	0.0469393
Dome	0.0467457
resurgence	0.0466621
mist	0.046642
glass	0.0465739
Haze	0.0465705
dike	0.046502
pattern	0.0464142
upheaval	0.0464081
chaos	0.0463798
fume	0.0460538
nightmare	0.045739
petal	0.0457187
atmosphere	0.0456884
Depression	0.0456585
uncertainty	0.0455217
hype	0.0448993
explosion	0.0447716
laggard	0.044686
"black hole"	0.0446599
flame	0.0446267
mess	0.0445437
blip	0.0445413
smell	0.0444828
speculation	0.0444384
darling	0.0443227
deflation	0.0442012
manipulation	0.0441777
Universe	0.0441432
mood	0.0440437
fog	0.043995
sphere	0.0439282
layer	0.043928
tube	0.0439002
epidemic	0.0438077
tank	0.0434705
plume	0.0433349
slowdown	0.0432829
cage	0.0432205
trend	0.0431185
"water vapor"	0.0430584
bottle	0.042692
downturns	0.0426765
fad	0.0426265
bust	0.0426036
"tidal wave"	0.0425663
misunderstanding	0.042451
calamity	0.0422642
insulation	0.0422635
noise	0.0422021
contagion	0.0421099
barrier	0.0420316
jitters	0.0420315
Halo	0.0420239
malaise	0.0420027
lump	0.0419319
windfall	0.0418611
gridlock	0.041736
disparity	0.0416486
clump	0.0416486
cluster	0.041636
madness	0.0416022
recovery	0.0415991
dirt	0.0414685
crystal	0.0414462
"blood vessel"	0.041152
myth	0.0411238
chunk	0.041073
ICE	0.040983
imbalance	0.0409815
exuberance	0.0409627
distortion	0.0409622
vortex	0.0409536
gloom	0.0409478
bag	0.0409418
adjustment	0.0408905
upsurge	0.0408408
crises	0.0408131
niche	0.040799
reflection	0.0407211
hiccup	0.040629
falls	0.0405915
riches	0.040552
backlash	0.0403383
bucket	0.0403285
molecule	0.0401459
buzz	0.0401064
gas	0.0401003
scandal	0.0400505
))
("bubble gum" (desc 3757.2) (sims
gum	0.120589
"chewing gum"	0.11157
licorice	0.084086
popcorn	0.0797543
"jelly bean"	0.0674224
raunchy	0.0639563
candy	0.0626184
"candy bar"	0.0625187
"Honus Wagner"	0.0624505
Menudo	0.0620338
Kleenex	0.0604759
"toilet paper"	0.0598309
slime	0.0570087
mouthwash	0.0550352
IC	0.053789
citrus	0.0533968
Motown	0.0525383
raspberry	0.0515316
cracker	0.0513238
melon	0.0511482
gangsta	0.0507526
indie	0.0506395
kiddie	0.0497386
cellophane	0.0491711
"R&AMP;B"	0.047887
oddball	0.0476901
"spring roll"	0.0473288
fluff	0.0468246
slasher	0.0465114
"cotton candy"	0.0461938
styrofoam	0.0459691
seaweed	0.0458932
"peanut butter"	0.0449219
cappuccino	0.0444474
caramel	0.044342
late-@@@@s	0.0443377
Teflon	0.0440445
"French bread"	0.0440271
lint	0.0436181
mariachi	0.0435271
jigsaw	0.0432869
calypso	0.0431826
Khmer	0.0430529
"soft drink"	0.0427235
vanilla	0.0425571
gunpowder	0.0424949
rhythm-and-blues	0.0419904
"fortune cookie"	0.0419457
soda	0.0417001
"M&AMP;M"	0.0416829
Sim	0.0416087
lozenge	0.0414922
Ethernet	0.0410562
chartreuse	0.0410459
"Dirty Bird"	0.041002
crayon	0.0409096
bazooka	0.0405284
Reggae	0.0401893
cola	0.0400982
Play-Doh	0.040092
PCI	0.0400482
))
(bubbly (desc 3621.08) (sims
champagne	0.132731
"Dom Perignon"	0.111456
scotch	0.10229
Cognac	0.08817
"red wine"	0.0855351
tequila	0.0843205
lemonade	0.0834008
whisky	0.0831777
"cranberry juice"	0.0822449
whiskey	0.0815729
"spring water"	0.081453
"sparkling wine"	0.0812256
"white wine"	0.0798478
Burgundy	0.0743579
vodka	0.0740537
Chianti	0.0719917
"iced tea"	0.0717869
Zinfandel	0.0714439
merlot	0.0705631
brandy	0.0695639
"mineral water"	0.0685024
absinthe	0.0684874
bourbon	0.0683169
rum	0.0674585
Chardonnay	0.0672477
Seltzer	0.0665462
"orange juice"	0.0657696
"grapefruit juice"	0.0655918
"apple juice"	0.0646921
Riesling	0.063725
"hot sauce"	0.0636614
Evian	0.0629365
syrup	0.0619252
stout	0.0617175
"California wine"	0.0607622
"Diet Coke"	0.0604703
varietals	0.0594709
grating	0.0594706
gin	0.0594588
fizz	0.0593117
"Cabernet Sauvignon"	0.0592384
Beaujolais	0.0589851
soda	0.0569028
liquor	0.0563471
Cabernet	0.0560211
liqueur	0.0559954
"ginger ale"	0.0559193
antsy	0.0555466
cider	0.0550648
sherry	0.0541408
Gatorade	0.0537605
"elbow room"	0.0529203
booze	0.0527628
"barbecue sauce"	0.0525289
"Pinot noir"	0.0520751
"tap water"	0.0519653
shampoo	0.0518844
beverage	0.0515001
labor-intensive	0.0505232
acid	0.0502161
sunscreen	0.0500874
"guardian angel"	0.0495976
"guessing game"	0.0493653
cockiness	0.0482805
ale	0.0482146
"ice water"	0.0481932
"speeding ticket"	0.0474842
plaything	0.0472484
"sour grapes"	0.0469036
nostrum	0.0468906
Thunderbird	0.046689
"soft drink"	0.0462731
"waiting game"	0.0460677
half-and-half	0.0460614
"Sela Ward"	0.04587
"rainbow trout"	0.0458384
"root beer"	0.0452853
"fishing rod"	0.0452852
caramel	0.044745
cappuccino	0.0445527
"about three-quarters"	0.0440453
vinegar	0.0438118
snowflake	0.0435729
Brisby	0.0435026
picky	0.0433715
ketchup	0.042779
cola	0.0427292
Heineken	0.0419474
smoother	0.0419275
"tomato juice"	0.0418818
megaplexes	0.0414532
"Dutch oven"	0.0412704
"hot chocolate"	0.0411955
"good person"	0.0411763
waffle	0.0411323
"cup of tea"	0.0411003
gamesmanship	0.0409246
"laundry detergent"	0.0408102
Martini	0.0407932
mouthwash	0.0405012
"nail polish"	0.0404062
"Natural Born Killers"	0.0403591
antiseptic	0.0403137
"fruit juice"	0.0402928
selenium	0.0402359
"good story"	0.0400971
))
("Bubby Brister" (desc 3256.79) (sims
Brister	0.22089
"Glenn Foley"	0.21257
"Neil O'Donnell"	0.203694
"Steve DeBerg"	0.202039
"Brian Griese"	0.200894
"Paul Justin"	0.198961
"Gus Frerotte"	0.197884
"Rick Mirer"	0.191053
"Warren Moon"	0.187811
"Kent Graham"	0.182473
"Jason Garrett"	0.179118
"Vinny Testaverde"	0.173552
"Dave Brown"	0.173294
"Trent Green"	0.171825
"Jon Kitna"	0.168411
"Randall Cunningham"	0.167897
"Rob Johnson"	0.167627
"Ty Detmer"	0.165912
"Scott Mitchell"	0.165692
"Jeff Garcia"	0.158782
"Damon Huard"	0.157183
"Steve Beuerlein"	0.156025
"Chris Chandler"	0.155279
"Doug Pederson"	0.150939
"Rich Gannon"	0.148822
"Bobby Hoying"	0.147587
"Scott Zolak"	0.1474
"Kerry Collins"	0.146877
"Tony Banks"	0.146421
"Ray Lucas"	0.144958
"Marcus Outzen"	0.14403
"Jeff George"	0.141789
"Jeff Blake"	0.141559
"Mike Van Raaphorst"	0.137692
"Chris Weinke"	0.133556
"Trent Dilfer"	0.132247
"Tom Brady"	0.132136
"Drew Bennett"	0.131766
"Van Raaphorst"	0.130863
"Brad Johnson"	0.130663
Favre	0.12856
"Doug Flutie"	0.127356
Griese	0.124757
"Steve Young"	0.123942
"Jim Kelly"	0.123381
"Tony Graziani"	0.123248
"Erik Kramer"	0.121716
"Elvis Grbac"	0.118698
"Dan Marino"	0.118197
"Danny Kanell"	0.11813
"Doug Johnson"	0.11756
"Ryan Kealy"	0.115588
"Jim Harbaugh"	0.115109
"Steve McNair"	0.114912
"Akili Smith"	0.113686
"Ryan Leaf"	0.113599
"Ryan McCann"	0.112011
Mirer	0.111165
"Jim Druckenmiller"	0.110477
"Cade McNown"	0.109936
"John Elway"	0.109033
"Chris Simms"	0.108652
"Joe Montana"	0.108016
"Tee Martin"	0.107917
"JOHN FRIESZ"	0.107562
Harbaugh	0.106581
"Kordell Stewart"	0.106317
Kealy	0.105213
"Brett Favre"	0.104483
Testaverde	0.103722
Huard	0.102709
"Michael Bishop"	0.102053
"John Fox"	0.101871
"Kurt Warner"	0.101103
"Eric Zeier"	0.100049
"Todd Husak"	0.0997321
Kanell	0.0988841
"Jake Plummer"	0.0981904
Zolak	0.0975794
"Derek Harper"	0.0958211
"Rodney Peete"	0.0955399
"John Vanbiesbrouck"	0.0952286
"Mark Brunell"	0.0951552
"Tony Hutson"	0.0948159
Pederson	0.0932455
Applewhite	0.0929397
Shanahan	0.0928695
"Drew Bledsoe"	0.0922593
Grbac	0.0920963
Tupa	0.0916844
"Troy Aikman"	0.0908984
"John Burkett"	0.0906756
DeBerg	0.0905902
Elway	0.0900831
"Joe Hamilton"	0.0887619
Marino	0.0887128
"Donovan McNabb"	0.088297
"Manny Fernandez"	0.0882917
"Brock Huard"	0.0880903
Kitna	0.0879322
"Carson Palmer"	0.0876205
"Jarious Jackson"	0.0875634
Graziani	0.087339
"Gary Kubiak"	0.0870761
"Danny Wuerffel"	0.0868994
Garrett	0.0862763
"Charlie Batch"	0.0859962
"Shaun King"	0.0858823
"Eric Murdock"	0.0858613
Detmer	0.0855801
Mahomes	0.0853686
Aikman	0.0842798
"Kevin Mathis"	0.0839936
Dilfer	0.083648
"Charlie Ward"	0.0835227
Brunell	0.0833981
"Peyton Manning"	0.0832471
"Russ Ortiz"	0.0827095
"Bobby Newcombe"	0.0817556
"Joe Kleine"	0.0816436
Wynalda	0.0805473
"Cory Paus"	0.0805468
"John Salley"	0.0802328
"Tim Couch"	0.0800092
McNown	0.0793691
"Terry Mulholland"	0.0792092
"Major Applewhite"	0.0785789
Hasselbeck	0.0785671
"Chris Dudley"	0.0784232
Etherton	0.0775823
Plummer	0.0775315
"Michael Vick"	0.0773763
Remlinger	0.077173
Schoeneweis	0.0770709
Mercker	0.0767186
"Steve Atwater"	0.0759788
"Mike Shanahan"	0.0752943
"Kent Mercker"	0.0751259
McNabb	0.0746985
"Chad Pennington"	0.0740932
Flutie	0.0740222
Eldred	0.0738848
"Terrell Davis"	0.0736462
"June Jones"	0.0733449
"Travis Knight"	0.0730548
Appier	0.0730084
Cunningham	0.0727804
"Pat Rapp"	0.0724996
Brees	0.0722992
"Drew Henson"	0.0721449
Vick	0.0718738
"Joey Hamilton"	0.0713274
"Andre Reed"	0.0707389
"Walt Weiss"	0.070663
"Keith Smith"	0.0704026
"Greg Anthony"	0.0703062
Turek	0.0702179
"Terry Bradshaw"	0.070161
"Todd Collins"	0.0700617
"Derek Fisher"	0.0699653
"Mike Morgan"	0.069866
Chandler	0.0694802
"Charlie Williams"	0.0693713
Paus	0.0692183
Schourek	0.0691712
Halama	0.0688759
Fiset	0.0687738
Yarnall	0.0684726
"Mike Vernon"	0.068427
"Paul Abbott"	0.0682524
"Herb Williams"	0.0680771
"Boomer Esiason"	0.0677549
"Byron Hanspard"	0.0675546
Weinke	0.0672598
Brady	0.0669538
"Roger Staubach"	0.0669014
"Phil Simms"	0.0667776
"Luis Sojo"	0.066146
"Jaren Jackson"	0.0660638
"Grant Long"	0.0646896
"Fred Brathwaite"	0.0644921
Baggio	0.0644646
"Jim Harrick"	0.0639022
Aldair	0.0638097
"Francisco Cordova"	0.0637542
Tomko	0.0633924
"Bryce Florie"	0.0630993
"Norm Maracle"	0.0630312
Gooden	0.0629452
"Paul Spoljaric"	0.0628799
"Bill Haselman"	0.0627743
Foley	0.062759
Kile	0.0626575
Ranford	0.0626474
"Quincy Carter"	0.0626035
"Tom Candiotti"	0.0624932
Primeau	0.0623492
Milbury	0.0621989
"Jamie Moyer"	0.0619697
McCown	0.0617499
))
("bubonic plague" (desc 891.645) (sims
"foot-and-mouth disease"	0.157146
cryptosporidium	0.143099
botulism	0.134794
"typhoid fever"	0.134554
Rabies	0.122857
smallpox	0.121745
"contagious disease"	0.117948
"hepatitis A"	0.117928
influenza	0.114886
cholera	0.114267
Dysentery	0.112665
Meningitis	0.108819
giardia	0.106809
measles	0.105327
"Hurricane Hugo"	0.104386
"dengue fever"	0.102247
gangrene	0.0997563
encephalitis	0.0989051
rinderpest	0.097535
syphilis	0.0974424
gastroenteritis	0.0959016
"Lyme disease"	0.0953916
malaria	0.0911766
"yellow fever"	0.0906745
diarrhoea	0.0905406
"West Nile"	0.0896285
Dengue	0.0895494
herpes	0.0891443
Hantavirus	0.0886874
O@@@:H@	0.0863805
"food poisoning"	0.0859601
canker	0.0849322
encephalopathy	0.0839508
"communicable disease"	0.0832887
"respiratory disease"	0.0826193
CJD	0.0810556
"Spanish Civil War"	0.0807845
coli	0.079804
"forest fire"	0.0794077
"hepatitis B"	0.0787377
ebola	0.078464
"skin cancer"	0.0781377
leprosy	0.0778537
intifada	0.0762443
"Hurricane Andrew"	0.0749154
diarrhea	0.0733052
tuberculosis	0.0729273
"infectious disease"	0.0724633
rollovers	0.069993
"Opium War"	0.06957
pandemic	0.0684704
BSE	0.0676561
sickness	0.0674682
STDs	0.067067
"moral hazard"	0.0661478
"parliamentary democracy"	0.0655171
salmonella	0.0653823
"sexually transmitted disease"	0.0652539
twister	0.0648072
gunfight	0.0648052
legionnaire	0.0635973
"Iran-Iraq War"	0.0632783
narcolepsy	0.0625592
anthrax	0.0614611
"First World War"	0.0612701
pox	0.0612286
"brush fire"	0.0610706
"eye disease"	0.060865
leukemia	0.0599973
Masa	0.0599808
hepatitis	0.0598926
angiostatin	0.0596607
"plant disease"	0.0583559
"Word of God"	0.0581783
"sphere of influence"	0.0580397
conflagration	0.0573445
Taxol	0.0572195
rotavirus	0.0571053
acne	0.0561502
contagion	0.055831
macro	0.0557336
Pemba	0.0554571
indigestion	0.0552103
"sour grapes"	0.0549127
"acquired immune deficiency syndrome"	0.0543331
militancy	0.0539076
tremolite	0.0537064
bacillus	0.0536993
"Great War"	0.053288
hooliganism	0.0528904
"colon cancer"	0.0524983
"hush puppy"	0.0524396
"AIDS virus"	0.0523762
pseudoscience	0.0523157
Melissa	0.0521724
"oil slick"	0.0514202
safest	0.0513
pandemonium	0.051271
epilepsy	0.0512553
"shock therapy"	0.0512372
interferon	0.0509684
malathion	0.0505668
intoxication	0.0498687
locust	0.0498027
Pestilence	0.0497331
serendipity	0.0496091
"nervous breakdown"	0.0494621
Nazism	0.0491557
bronchitis	0.0491324
mudslide	0.049104
"Anna Karenina"	0.0487461
"Tate Gallery"	0.0484431
gallstone	0.0478919
"apple juice"	0.047874
"cold spell"	0.0477679
autism	0.047689
"Senate Budget Committee"	0.0475962
bacterium	0.0475777
hemoglobin	0.0475702
floodwaters	0.0475694
Babs	0.0475302
Gigahertz	0.0475199
"crop failure"	0.0469967
penicillin	0.0469537
Charley	0.046945
overconfidence	0.0469119
"Haihe River"	0.04676
"world war"	0.0466907
"Cultural Revolution"	0.0466489
"Royal National Theater"	0.0466032
gonorrhea	0.0464415
Alpha	0.0463902
"power failure"	0.0463378
"High Commission"	0.0462588
"Nankai University"	0.0460429
heatwave	0.0458664
rustler	0.0458527
"subversive activity"	0.0457925
"HIV/ AIDS"	0.0456608
"over four"	0.0455864
"Peony Pavilion"	0.0455269
xenophobia	0.0455128
possiblity	0.0452763
"flash flood"	0.0448613
thuggery	0.0448295
untruth	0.0447433
cellulose	0.0447257
"nerve gas"	0.0446459
"tooth decay"	0.0445599
"Myanmar Embassy"	0.0444678
destabilization	0.0444025
temblor	0.0443004
cannibalism	0.0442994
"Resistance Army"	0.0440103
"stock company"	0.0440008
"Iraqi Kurds"	0.0437336
fundamentalism	0.0437079
"adult education"	0.0436174
"air bubble"	0.0435899
"Greek Orthodox Church"	0.0435693
"Pudong International Airport"	0.0435358
olestra	0.0434715
Indiscipline	0.0433807
amnesia	0.0431571
pronoun	0.0430556
"Desert Storm"	0.0429792
"Museum of Natural History"	0.0427096
dyslexia	0.0426486
"germ warfare"	0.0425901
Zeb	0.0423331
"Danube River"	0.0422995
malignancy	0.0422842
cheapest	0.0422812
infestation	0.0421077
brouhaha	0.0420696
blah	0.0419687
"rheumatoid arthritis"	0.0418007
mutilation	0.04165
gloria	0.0415749
gunrunning	0.041509
Unabomber	0.0412754
"venereal disease"	0.0412746
Zionism	0.0412386
RealPlayer	0.0412265
"National Theater"	0.0411038
"Wembley Stadium"	0.0410742
"EgyptAir Flight @@@"	0.0409761
CFCs	0.0409004
"Spanish-American War"	0.0408497
"market correction"	0.040816
"British Museum"	0.0405404
"temperature change"	0.0404106
thesaurus	0.0403665
"Lord's Resistance Army"	0.0402912
nightspots	0.0402879
windstorm	0.0402441
winnings	0.0401919
Harrods	0.0401886
sub-projects	0.0400886
))
(Bucaram (desc 1697.31) (sims
Spyridon	0.193107
Dodik	0.159005
Guterres	0.155396
Tsvangirai	0.139062
Meciar	0.138995
Rodionov	0.135347
Cubas	0.133809
Orban	0.131398
Mahuad	0.130501
Nano	0.129834
Vasile	0.129723
Soyinka	0.129356
Smitherman	0.128647
Deuba	0.127838
Diouf	0.127738
"Pope John Paul"	0.127639
"de Charette"	0.125858
Zhivkov	0.125835
Ruggiero	0.121846
Husseini	0.120956
Ciampi	0.12033
Aristide	0.120003
Koirala	0.118869
Skuratov	0.117738
Lipponen	0.117384
Zeroual	0.116153
Chavalit	0.116151
Bhutto	0.115214
Zacarias	0.114995
Narayanan	0.114926
Klestil	0.114772
Gargan	0.11382
Ranariddh	0.113567
Chaudhry	0.113288
Alarcon	0.11242
Joklik	0.11225
Alatas	0.110254
Vieira	0.110082
Wahid	0.109927
Lukashenko	0.108851
Pangalos	0.108462
Ikeda	0.107989
"Deve Gowda"	0.107489
Drabinsky	0.106979
Musharraf	0.106788
Aliev	0.106485
Gowda	0.106114
Zhirinovsky	0.105966
Bulatovic	0.105941
Bedie	0.105698
Juppe	0.105515
Havelange	0.105269
Samper	0.104275
Kuchma	0.104048
Djindjic	0.104025
Kabbah	0.103997
Scalfaro	0.103987
Buzek	0.103914
Mkapa	0.1036
Rabbani	0.103544
Bhattarai	0.102833
Akayev	0.102497
Kostov	0.102191
Kiriyenko	0.101771
Rakhmonov	0.100998
Bondevik	0.10058
Verney	0.100458
Camdessus	0.100328
Stoyanov	0.100043
Demaci	0.0998987
Maskhadov	0.0997667
Ogata	0.0996047
"Vladimir Meciar"	0.0994565
Ruehe	0.0992804
Nazarbayev	0.099244
Mobutu	0.0992238
Primakov	0.0991256
Stepashin	0.0988674
Iliescu	0.0986775
Chiluba	0.0984773
Banharn	0.0980386
Simitis	0.0978177
Graziano	0.0977052
Abubakar	0.0972143
Patasse	0.0971127
Wolfensohn	0.0969007
Milutinovic	0.0965481
Ecevit	0.0962707
Kasoulides	0.0960347
Megawati	0.0955647
Meguid	0.0953033
Nkomo	0.0949911
Pustovoitenko	0.0947463
Meissner	0.0945661
"Mahendra Chaudhry"	0.0944151
Djukanovic	0.0941841
"Sher Bahadur Deuba"	0.094086
"Chavalit Yongchaiyudh"	0.0938267
Kassirer	0.0937717
Menem	0.0933712
Chissano	0.0932767
Karimov	0.0931602
Kumaratunga	0.0925904
Museveni	0.0921168
Brundtland	0.0920428
Yilmaz	0.0920181
Yadav	0.0917109
"Rafik Hariri"	0.0915861
"Jack Gargan"	0.0915452
Muluzi	0.0914934
Hrawi	0.0914313
Lazarenko	0.0914082
Dini	0.0911729
Sandinistas	0.090885
Bolger	0.0908717
shah	0.0907034
Shipley	0.0906637
Weizman	0.0905433
Shevardnadze	0.0904303
Chuan	0.0902244
Khai	0.0902086
Warshaw	0.090051
Holl	0.0897367
"Khaleda Zia"	0.0895427
Mokhehle	0.0894418
Klima	0.0893091
"Superintendent Ruben Zacarias"	0.0892922
Duisenberg	0.0892072
Hasina	0.0891382
Rifkind	0.0891316
Aznar	0.0889873
Dehaene	0.0889471
Banzer	0.08884
Meles	0.0887464
Granic	0.0885589
Obuchi	0.0884207
Dunlap	0.0879181
Rafsanjani	0.0878094
"Jordanian King Abdullah Bin Hussein"	0.087771
Santer	0.0877524
"Benazir Bhutto"	0.0873303
Waigel	0.0868806
Bizimungu	0.0868501
Moi	0.0867749
Ikimi	0.0866381
Ekeus	0.0864756
Demirel	0.0864695
Rossello	0.086324
Sumaye	0.0862961
Rabe	0.0861763
Gurirab	0.0860913
Aideed	0.0857558
Solana	0.0856806
Moratinos	0.0856751
Bashir	0.0854847
Erbakan	0.0852329
Tarawneh	0.0851819
Insulza	0.0850767
"Megawati Soekarnoputri"	0.0850497
Tudjman	0.0844625
Sharif	0.0842456
Pfeiffer	0.0841653
Nemtsov	0.0841126
Karadzic	0.0839753
Craxi	0.0839115
Fujimori	0.083711
Habibie	0.0835757
D'Alema	0.0835503
Prodi	0.0831477
Sezer	0.0831091
"Secretary General Esmat Abdel-Meguid"	0.0830438
Chernomyrdin	0.0828675
Bubb	0.082657
Lissouba	0.0824788
Malu	0.0824123
Majko	0.082146
Gujral	0.0821007
Dilfer	0.0820742
Kok	0.0819714
Ozawa	0.0817752
Thapa	0.0816874
Hoss	0.0816449
Brahimi	0.081644
Pickering	0.0815236
Rhee	0.0814731
"John Calipari"	0.0807735
Sergeyev	0.0807733
Schottenheimer	0.0806783
Hassan	0.080616
Benazir	0.0804637
Denktash	0.0802925
Vedrine	0.0802367
Carollo	0.0802356
Nasrin	0.0800304
Wamba	0.0799989
Cianci	0.0797911
Wiranto	0.0795246
Zadornov	0.0792603
Frei	0.079249
Guei	0.0792308
))
(BUCCANEER (desc 8011.4) (sims
Raven	0.201879
Redskin	0.200083
Bengals	0.190576
Steelers	0.188912
BEARS	0.186628
Bucs	0.186266
Eagles	0.180589
packer	0.177579
falcon	0.16368
Jaguar	0.158881
bronco	0.156716
ram	0.156531
Giants	0.155578
Seahawks	0.155359
raider	0.154709
Viking	0.151066
charger	0.150903
panther	0.149662
gamecock	0.146569
oiler	0.14446
colt	0.135681
cowboy	0.134747
Saint	0.133461
dolphin	0.132181
Hawkeyes	0.130906
Huskers	0.130744
patriot	0.130175
"Indianapolis Colts"	0.126009
bearcat	0.124024
cardinal	0.12178
Boilermakers	0.121572
Minutemen	0.12125
Sooners	0.11651
"Tampa Bay"	0.11572
buckeye	0.115316
wildcat	0.114075
Cornhusker	0.113938
"Fighting Irish"	0.11271
"Dallas Cowboys"	0.112244
"St. Louis Rams"	0.111462
"Tar Heels"	0.111377
Longhorn	0.110945
Wolfpack	0.110773
lion	0.110674
NAU	0.110541
titan	0.109778
MetroStars	0.107199
Trojan	0.106463
"Washington Redskins"	0.106392
"Nittany Lions"	0.10603
"Minnesota Vikings"	0.104342
"New York Giants"	0.104056
matador	0.103237
bulldog	0.102195
"Green Bay"	0.101934
BYU	0.101857
Illini	0.101813
"Oakland Raiders"	0.10156
Wolverine	0.101129
"New York Jets"	0.100729
terrapin	0.10048
badger	0.100099
"Scarlet Knights"	0.0993371
Razorback	0.0992294
"Buffalo Bills"	0.099143
"Tampa Bay Buccaneers"	0.0990584
Seminoles	0.0987502
Vols	0.0986775
Stephenville	0.0980879
"San Francisco @@ers"	0.097741
cougar	0.0976141
Rutgers	0.0975902
Starzz	0.0975188
"Appalachian State"	0.0964092
"Miami Dolphins"	0.0962401
"Texas Tech"	0.0955865
"Montana State"	0.0950407
Aggies	0.0949635
"Penn State"	0.0949377
Lobos	0.0946755
Cavs	0.0945402
Tulane	0.0944854
"Georgia Southern"	0.0944326
Gators	0.0942132
Canuck	0.0938796
"blue devil"	0.0937645
diamondback	0.0936596
LSU	0.0935146
"Tennessee Titans"	0.0929251
Lehigh	0.092776
"Crimson Tide"	0.0926635
"Denver Broncos"	0.0921274
niner	0.0919696
Rattler	0.0919482
Royals	0.0916958
jet	0.0910256
"yellow jacket"	0.0908461
K-State	0.0906489
Hoosier	0.0906308
Phillies	0.090549
"San Diego Chargers"	0.0904572
"Florida State"	0.0903356
USC	0.0903264
"Oregon State"	0.0900905
"Iowa State"	0.090045
Padre	0.0899365
bruin	0.08983
"Mississippi State"	0.0890986
"Kansas City Chiefs"	0.0889281
"Kansas State"	0.0889068
TCU	0.0889022
"Red Raiders"	0.0888223
Clemson	0.088685
"Phenix City"	0.0881049
Spartan	0.087994
husky	0.0879939
UMass	0.0875224
"New England Patriots"	0.0874817
"Jacksonville Jaguars"	0.087226
"Ohio State"	0.0865208
"Cincinnati Bengals"	0.0859988
Hokies	0.0858311
"Weber State"	0.0857315
Blackhawks	0.0850031
cavalier	0.0846912
Jayhawks	0.0844457
marlin	0.0842306
cub	0.0838576
Jacksonville	0.0836695
CSUN	0.0835793
"Arkansas State"	0.0835717
lumberjack	0.0835554
"ATLANTA FALCONS"	0.0834927
ASU	0.0828845
gopher	0.082756
"Green Bay Packers"	0.0827217
"Virginia Tech"	0.0825187
Celtics	0.0824047
"N.C. State"	0.0821141
A's	0.0818424
Pepperdine	0.081116
"New York Liberty"	0.0810008
Orioles	0.0808155
Purdue	0.0808023
Springbok	0.0806019
FSU	0.0805713
pacer	0.0805457
"Boston College"	0.0801595
"Seattle Seahawks"	0.0798072
"Michigan State"	0.0797264
"Miami Heat"	0.0795374
UNLV	0.0791974
"Red Wings"	0.0791575
"Trail Blazers"	0.0790577
"Wake Forest"	0.0790478
Av	0.0787694
SMU	0.0785716
"Russ Ortiz"	0.0785634
"Miami Fusion"	0.0785007
Fordham	0.0784285
"blue jay"	0.0783356
Sonics	0.0782978
Carolina	0.0782204
Hornet	0.0781345
"Georgia Tech"	0.0781053
"Oklahoma State"	0.0780845
Baylor	0.0779156
"Partizan Belgrade"	0.0778784
brave	0.0778416
"New Orleans Saints"	0.0778395
dodger	0.0777375
thrasher	0.077343
UCLA	0.0772708
"devil ray"	0.0772529
"Maple Leafs"	0.0769141
"Dallas Stars"	0.0768771
"Southern Cal"	0.0768553
"Calgary Flames"	0.0767068
"Southern Mississippi"	0.0765714
Supersonics	0.0765047
UNT	0.0764178
Cal	0.0763288
UAB	0.0763266
Villanova	0.0762974
sabre	0.0762893
"Philadelphia Eagles"	0.0762791
"D.C. United"	0.0762391
OSU	0.0761784
"Arizona Cardinals"	0.076111
"Ottawa Senators"	0.0759612
Canadiens	0.0757912
ASTROS	0.0757066
"North Carolina State"	0.0756484
"Red Sox"	0.075607
"Louisiana Tech"	0.0754991
"Phoenix Mercury"	0.0754074
hawk	0.0752281
Hofstra	0.0752053
"San Jose State"	0.0751875
tech	0.0748228
))
(Buchanan (desc 36398.9) (sims
"Pat Buchanan"	0.212283
Nader	0.169986
McCain	0.169498
Bush	0.16322
Bauer	0.16265
Quayle	0.162339
Bradley	0.159015
Forbes	0.156749
Hagelin	0.155829
Perot	0.155811
DOLE	0.152059
gore	0.150434
Giuliani	0.143646
Keyes	0.142714
"George W. Bush"	0.141985
"Patrick Buchanan"	0.13393
"Steve Forbes"	0.132797
"Patrick J. Buchanan"	0.132484
Lieberman	0.126953
"Alan Keyes"	0.123395
"John McCain"	0.123084
"Gary Bauer"	0.120727
Ventura	0.117414
"Bill Bradley"	0.116848
"Bob Dole"	0.116581
"Al Gore"	0.115173
Ashcroft	0.112403
"George Bush"	0.111756
"Elizabeth Dole"	0.11085
Schumer	0.108771
Fujimori	0.108587
Pataki	0.108403
"Ross Perot"	0.10682
Hoffa	0.106587
Lazio	0.105581
"Ralph Nader"	0.105423
Cheney	0.105275
Labastida	0.104945
Clinton	0.104708
Lungren	0.103808
D'Amato	0.103531
Lott	0.102842
Alexander	0.101974
Florio	0.101823
Corzine	0.100935
Putin	0.100835
Gingrich	0.100234
Schroeder	0.0994703
smith	0.0991982
trump	0.0991805
"Lamar Alexander"	0.0984897
Chavez	0.0968044
Vallone	0.096459
Cellucci	0.0957771
Netanyahu	0.0955505
candidate	0.0948927
"vice president"	0.0945152
Gephardt	0.0944375
hatch	0.0943288
Yeltsin	0.09331
Kasich	0.0932934
Madrazo	0.092439
Livingston	0.0912905
Harshbarger	0.0912367
Republican	0.0910914
senator	0.090787
"Hillary Rodham Clinton"	0.0906822
Ferraro	0.0906087
Governor	0.0890931
Gramm	0.0890477
Primakov	0.0887553
Khatami	0.0883836
Mauro	0.0882248
"first lady"	0.0880903
Barr	0.0869934
Helms	0.0867325
Beatty	0.0861977
"Dan Quayle"	0.0856489
Chernomyrdin	0.0854277
Mugabe	0.084761
Gargan	0.0846111
Kostunica	0.0842122
Kohl	0.0832498
"Hillary Clinton"	0.0829675
Megawati	0.0829102
"Reform Party"	0.0828113
Ammiano	0.0828111
Kerry	0.0816403
Milosevic	0.0810315
Trimble	0.0810296
Torricelli	0.0809203
Daley	0.0806292
"Jesse Ventura"	0.0803067
Reagan	0.0802327
"Orrin Hatch"	0.0799858
Barak	0.0798128
Castro	0.0796118
Taft	0.0795325
Feinstein	0.0789568
Berisha	0.078928
Mayor	0.0788461
Spitzer	0.0788001
Blair	0.0785512
Democrat	0.0785458
Arafat	0.078536
Bragman	0.0784088
Davis	0.0783964
Cardenas	0.0782924
Haider	0.0781457
Mordechai	0.0778104
Kennelly	0.0776674
Armey	0.0775041
Fong	0.0774402
Mahathir	0.0773989
Whitman	0.0773767
"Rick Lazio"	0.0770834
Carey	0.0769967
Robertson	0.0767421
Hastert	0.0760159
Jackson	0.0757903
GOP	0.075568
Richardson	0.075536
Greenspan	0.0753166
Sharpton	0.0752575
Toledo	0.0747063
Blatter	0.0743456
conservative	0.0739882
Cohen	0.0739353
Hyde	0.0738854
"Dick Cheney"	0.0738373
"Bob Smith"	0.0738338
Cornyn	0.0737936
Peres	0.07367
Samaranch	0.0735708
Rowland	0.0732721
Kiriyenko	0.073185
Obuchi	0.0731375
Wilson	0.0730892
Estrada	0.0725598
Rugova	0.0724765
PRI	0.0722703
Habibie	0.0722575
Lavin	0.0720827
MacKay	0.0718709
Zyuganov	0.0718338
Powell	0.0717835
"Ray Buchanan"	0.0716136
Kennedy	0.0715358
Mbeki	0.0715162
Albright	0.0714217
Poplasen	0.0713663
Vacco	0.0711834
Carter	0.071107
Carnahan	0.0710928
"McCaughey Ross"	0.0710481
Campbell	0.0707792
McCaffrey	0.0705592
Johnson	0.0703716
Luzhkov	0.0701285
Ruff	0.0700001
Cuomo	0.0698152
nominee	0.0698123
Moore	0.0696476
Kerrey	0.0693819
"John Kasich"	0.0692734
"Hun Sen"	0.0692672
Chen	0.0692056
Taylor	0.0691067
Barnes	0.0688525
Obasanjo	0.0688373
Zedillo	0.0685341
Lee	0.0682482
Adams	0.0681681
Thompson	0.0680762
Cardoso	0.0680484
front-runner	0.0680239
"Green Party"	0.0680061
Rubin	0.0678756
"Republican George W. Bush"	0.0676093
Prodi	0.0675712
Sezer	0.0675348
Nicholson	0.0674751
Draskovic	0.0672387
Holbrooke	0.0671857
Reilly	0.0671703
party	0.0670999
"Bill Clinton"	0.0670149
McCall	0.0669882
Gorton	0.0668805
Saddam	0.0664201
Miller	0.0662078
Lafontaine	0.0661489
Pastrana	0.0659491
Fulani	0.0659266
FAIRCLOTH	0.0659148
perry	0.0658908
Mandela	0.0658903
McCurry	0.0658259
Riley	0.065723
Sanders	0.0656864
))
(BUCHAREST (desc 16471.6) (sims
KIEV	0.239703
SOFIA	0.235212
ZAGREB	0.216906
Prague	0.213857
WARSAW	0.209085
BUDAPEST	0.206287
Managua	0.205143
Luanda	0.198731
HARARE	0.19607
Quito	0.196032
SEOUL	0.195759
HANOI	0.195081
Dushanbe	0.19187
Tehran	0.191089
BOGOTA	0.190701
Amman	0.187097
"Addis Ababa"	0.186755
Santiago	0.186418
KAMPALA	0.185614
"Mexico City"	0.184306
CARACAS	0.183641
Jakarta	0.182628
ATHENS	0.181496
ANKARA	0.181178
CAIRO	0.181138
TIRANA	0.180659
DHAKA	0.180275
JOHANNESBURG	0.179951
BRUSSELS	0.177759
"Buenos Aires"	0.177662
Algiers	0.176349
"Phnom Penh"	0.176181
TEGUCIGALPA	0.176038
STOCKHOLM	0.175752
Islamabad	0.175087
Manila	0.173736
MAPUTO	0.173111
LISBON	0.172297
"New Delhi"	0.171983
"Kuala Lumpur"	0.171207
Moscow	0.171155
Vienna	0.170936
Bangkok	0.170418
Madrid	0.169393
"Guatemala City"	0.169388
Havana	0.166774
"San Salvador"	0.166342
Bonn	0.165344
MONTEVIDEO	0.164768
Tbilisi	0.164303
Nairobi	0.163888
COLOMBO	0.162412
Riyadh	0.161609
Helsinki	0.161298
BRASILIA	0.16109
BELGRADE	0.159546
Sarajevo	0.159141
Beirut	0.158464
Vilnius	0.157956
Lima	0.156805
Minsk	0.156671
Rome	0.156412
"Rio de Janeiro"	0.156404
"Ulan Bator"	0.156355
NICOSIA	0.15591
SANAA	0.15587
Kathmandu	0.155688
YANGON	0.154081
"Dar es Salaam"	0.153012
BEIJING	0.152331
Rabat	0.151984
Lusaka	0.15042
Pretoria	0.149904
Khartoum	0.149649
Copenhagen	0.149428
"La Paz"	0.146892
Lagos	0.146889
Istanbul	0.146363
"KUWAIT CITY"	0.145727
Windhoek	0.144994
Tokyo	0.144802
Asmara	0.144613
Baku	0.144567
Damascus	0.143763
Accra	0.143561
Berlin	0.142507
"Tel Aviv"	0.141606
Geneva	0.140859
TUNIS	0.140673
Durban	0.140669
Oslo	0.140539
BRATISLAVA	0.139044
Kigali	0.138904
Skopje	0.138809
"ALMA ATA"	0.137746
Kabul	0.13768
Belfast	0.13745
Wellington	0.136264
Vientiane	0.135614
Tripoli	0.135517
"Panama City"	0.135481
"Cape Town"	0.134431
Dili	0.134238
"Santo Domingo"	0.134065
Baghdad	0.133814
MANAMA	0.13141
Bissau	0.130647
"St. Petersburg"	0.130545
"Abu Dhabi"	0.130477
"Sao Paulo"	0.130273
Amsterdam	0.129728
Kinshasa	0.12964
Taipei	0.129499
Katmandu	0.129097
Monrovia	0.128912
"Ho Chi Minh City"	0.128783
Ljubljana	0.128517
Maseru	0.128291
Gaborone	0.12806
LONDON	0.127797
Paris	0.127787
Lhasa	0.127596
Pristina	0.127489
Dublin	0.127149
MELBOURNE	0.126881
Mogadishu	0.126424
Port-au-Prince	0.125158
Cartagena	0.124445
Munich	0.123876
Yaounde	0.123335
Srinagar	0.123169
Alma-Ata	0.123049
Tashkent	0.122208
Bujumbura	0.121504
Chisinau	0.120296
Tapachula	0.118653
PYONGYANG	0.118606
Frankfurt	0.118128
Reykjavik	0.116524
Abidjan	0.1165
Ottawa	0.11646
Asuncion	0.116234
Salzburg	0.116046
Milan	0.114946
Canberra	0.114034
Freetown	0.113841
Shanghai	0.113659
JERUSALEM	0.113037
Yerevan	0.112996
CHENGDU	0.112702
Auckland	0.112237
Bishkek	0.111185
Lyon	0.11076
Grozny	0.110617
Doha	0.110602
Kuito	0.109552
Sydney	0.109078
Zurich	0.108391
Lahore	0.108306
Dakar	0.108139
Vladivostok	0.107994
Suva	0.10786
Kunming	0.107608
Ramallah	0.107557
Turin	0.107275
"San Jose"	0.106778
Lausanne	0.105966
Strasbourg	0.10589
Peshawar	0.105189
PALERMO	0.104817
Lome	0.10431
Hangzhou	0.104119
Gaza	0.103823
Birmingham	0.103821
Abuja	0.103747
"San Juan"	0.103675
Podgorica	0.102892
Acapulco	0.102504
Alexandria	0.102312
"Los Angeles"	0.102045
Karachi	0.101681
Ouagadougou	0.101637
Brazzaville	0.101419
Mbabane	0.100765
"Quebec City"	0.100317
Brisbane	0.10031
Urumqi	0.0999654
Muscat	0.0997031
Guangzhou	0.0995691
Guadalajara	0.0978376
Shenyang	0.0973938
Luxembourg	0.0969729
"Little Rock"	0.0967689
Bombay	0.0966965
Honiara	0.0964111
Haikou	0.095238
"The Hague"	0.0950128
Hamburg	0.094909
"CHIANG MAI"	0.0945159
Florence	0.094513
))
(Buchenwald (desc 1531.55) (sims
Dachau	0.265864
Auschwitz	0.188118
Jasenovac	0.171041
"concentration camp"	0.129964
WWII	0.0920314
Attica	0.0872433
"Mount Sinai Medical Center"	0.0645772
"Corcoran Gallery"	0.0570403
"Al Aqsa Mosque"	0.0470629
"ABM Treaty"	0.0467526
"UC Irvine"	0.0432456
"Mount Sinai Hospital"	0.0431379
"Massachusetts General Hospital"	0.0418062
"Confederate soldier"	0.0417545
Shu	0.0414135
"Iwo Jima"	0.0404872
))
(buck (desc 37365) (sims
piston	0.101872
pacer	0.0956735
Lakers	0.0902339
Celtics	0.0897798
clipper	0.085293
"Milwaukee Bucks"	0.082064
spur	0.0816429
money	0.0809579
blazer	0.0808801
Sonics	0.0806183
"million dollars"	0.0798208
grizzly	0.0792492
Knicks	0.0778213
Timberwolves	0.0775711
hawk	0.0773407
bull	0.0768226
cavalier	0.0756365
maverick	0.0742514
Raptor	0.0735389
penny	0.0734695
Hornet	0.0731503
"Los Angeles Lakers"	0.0722783
sixer	0.0720015
"hundred thousand dollars"	0.0712559
BEARS	0.0705185
bruin	0.069261
"a few dollars"	0.0684472
nugget	0.068227
"Indiana Pacers"	0.0678866
oiler	0.0671135
cash	0.0659057
"Sacramento Kings"	0.0656816
"about $@.@ million"	0.0653246
"Trail Blazers"	0.0653181
flyer	0.0648664
Eagles	0.0646694
wildcat	0.0642646
packer	0.0639801
"about $@@@,@@@"	0.0639507
buckeye	0.063196
duck	0.0630801
"Boston Celtics"	0.063058
"New Jersey Nets"	0.0626858
"Atlanta Hawks"	0.0626298
"amount of money"	0.0626229
"Chicago Bulls"	0.0624571
patriot	0.0624502
"about $@@,@@@"	0.0623012
falcon	0.0619184
Sox	0.061651
brave	0.0616482
cardinal	0.0616291
cub	0.0614316
"hundred dollars"	0.0613972
"Dallas Mavericks"	0.0608443
warrior	0.0607131
"about $@@ million"	0.0606472
"Phoenix Suns"	0.0606095
panther	0.0599753
Trojan	0.059957
devil	0.0598559
"Minnesota Timberwolves"	0.059841
mariner	0.0594068
"blue jay"	0.0593864
Seahawks	0.0593071
grand	0.0592507
"about $@@@"	0.0590203
"Red Sox"	0.0589639
"nearly $@@ million"	0.0588673
A's	0.0588208
ASTROS	0.0587404
wizard	0.0585111
coyote	0.0584504
Yankee	0.0584422
dime	0.058276
"about $@ million"	0.0582111
bulldog	0.0579421
Sparks	0.0578588
dodger	0.0578023
Milwaukee	0.0577467
"Cleveland Cavaliers"	0.0573492
"San Antonio Spurs"	0.0568977
sabre	0.0568549
ram	0.0567927
Padre	0.0566888
Giants	0.0566545
husky	0.0566474
Spartan	0.0565475
Supersonics	0.0564492
"New York Knicks"	0.0562828
Orioles	0.0562682
raider	0.0560575
angel	0.0560263
tiger	0.0560045
Redskin	0.0559355
"Washington Wizards"	0.0559178
badger	0.0558854
"Toronto Raptors"	0.0558372
ranger	0.0557944
Cavs	0.0555542
charger	0.0554461
"about $@,@@@"	0.0553879
lion	0.0553564
dolphin	0.0552743
"nearly $@ million"	0.055211
"over $@ million"	0.055038
"Golden State Warriors"	0.054891
bronco	0.0548419
cowboy	0.0548124
Canuck	0.0547271
"Cleveland Indians"	0.0547219
Boilermakers	0.0542214
"Florida Panthers"	0.0542196
"sum of money"	0.0542048
"Miami Heat"	0.0541959
diamondback	0.0541006
Indian	0.0540768
"New York Mets"	0.0539996
Canadiens	0.0538814
Jazz	0.0538705
Portland	0.0537198
"White Sox"	0.053605
brewer	0.0535152
"Utah Jazz"	0.0533819
"about $@"	0.0532705
"Denver Nuggets"	0.0529717
"Tar Heels"	0.052781
marlin	0.0527525
rocket	0.0526636
Blackhawks	0.0523686
Orlando	0.0522485
"about $@@"	0.0520062
king	0.0517576
"about $@@@ million"	0.051727
Viking	0.0517175
Steelers	0.0516647
colt	0.0516078
"Houston Rockets"	0.0515963
magic	0.0513905
Sooners	0.0513625
"blue devil"	0.0512769
million	0.0511151
penguin	0.0511083
Raven	0.0510759
Toronto	0.0510507
"Orlando Magic"	0.0510479
MetroStars	0.0510179
"Portland Trail Blazers"	0.0509712
islander	0.0509398
"nearly $@@@ million"	0.0509298
Mets	0.050744
"Charlotte Hornets"	0.050678
billion	0.0505598
"San Francisco Giants"	0.0505195
guy	0.0503846
"Indianapolis Colts"	0.0502928
"Golden State"	0.0502076
"New England Patriots"	0.0501617
"Mighty Ducks"	0.0500027
Charlotte	0.0499591
Indiana	0.0499146
Nickel	0.04972
Minnesota	0.0496791
"billion dollars"	0.0495226
"Detroit Pistons"	0.0495012
Sacramento	0.0493633
pirate	0.0492567
Phillies	0.0490713
LSU	0.048944
Cleveland	0.0489304
Phoenix	0.0488569
"Buffalo Bills"	0.048835
Dallas	0.0486166
cougar	0.0485946
Gators	0.0485915
Wolverine	0.0484942
"Florida Marlins"	0.048347
"Los Angeles Dodgers"	0.0481483
Royals	0.0480782
Purdue	0.047986
sum	0.0479402
"Los Angeles Kings"	0.0478934
kid	0.0478388
"Red Wings"	0.0477912
"Milwaukee Brewers"	0.0477782
Longhorn	0.04742
Detroit	0.0473215
comet	0.0473046
"San Diego Chargers"	0.0471967
"Atlanta Braves"	0.0470016
"San Antonio"	0.0468606
"Montreal Expos"	0.0468592
net	0.0466558
matador	0.04659
galaxy	0.0465696
"Philadelphia Flyers"	0.0464701
Cornhusker	0.046362
"Los Angeles Clippers"	0.0463158
Seminoles	0.0462415
wolf	0.0462337
))
("Buck Showalter" (desc 1274.8) (sims
"Jim Leyland"	0.254039
"Tony La Russa"	0.22099
"Terry Collins"	0.217885
"Bruce Teitelbaum"	0.212691
"Bobby Cox"	0.209656
"Don Baylor"	0.20124
"Lou Piniella"	0.196428
"Mike Hargrove"	0.184214
"Dusty Baker"	0.182884
"Tom Kelly"	0.180955
"Shelly Finkel"	0.171642
"Tim Johnson"	0.167931
"Felipe Alou"	0.160685
"Johnny Oates"	0.160119
"Mike Scioscia"	0.157517
"Jimy Williams"	0.151331
"Bobby Valentine"	0.1513
"Davey Johnson"	0.149485
"Don Zimmer"	0.148019
"Billy Martin"	0.132659
"Joe Torre"	0.120673
"Tommy Lasorda"	0.11686
"Mel Stottlemyre"	0.116346
"Larry Dierker"	0.115232
"Tony Coelho"	0.102593
"Tom Lasorda"	0.0933329
"Glenn Hoffman"	0.0913203
"Kevin Keegan"	0.0882704
"Lee Atwater"	0.0830498
"Alex Ferguson"	0.080895
"Davey Lopes"	0.0785605
"Asa Hutchinson"	0.0774121
"Emanuel Steward"	0.0737798
Gangelhoff	0.0736614
"Jim Thomas"	0.0732102
"Don Nelson"	0.0708499
"Mike Murphy"	0.0707516
"Harry Sinden"	0.0694098
"Glenn Hoddle"	0.0686603
Robson	0.0678062
McKeon	0.0666907
"Karl Rove"	0.0661539
"Kevin Malone"	0.0659471
Patel	0.0641793
"Ruud Gullit"	0.0639482
Oliveira	0.0622646
R-Ark.	0.0594864
Showalter	0.0581131
Hightower	0.0580591
"Lindsey Graham"	0.0578899
Fulmer	0.0567671
Leyland	0.055926
Scioscia	0.0539075
"Ed Bryant"	0.0537406
Napolitano	0.0530678
"Connie Mack"	0.0527566
"Dave Johnson"	0.0522614
"Bill Russell"	0.0518763
Ratner	0.0517112
McMullen	0.0514336
"Tim Brown"	0.0513857
"John Weaver"	0.0508294
Myhrvold	0.0504346
"Mike McCurry"	0.0502533
Appleby	0.0500515
"National Sports Council"	0.0493039
Taufik	0.0490779
Finkel	0.0489941
"Mike Smith"	0.0489831
Hutchinson	0.0487423
"George Soros"	0.0485635
Greenwald	0.0485312
Suarez	0.0484097
Millar	0.0478107
Talebi	0.0476978
Nicol	0.0472759
Dierker	0.0472432
Knowles	0.0472305
Farrell	0.0470655
"Peter Lynch"	0.0470535
Hansen	0.0469626
Schmid	0.046945
Najera	0.0468991
Jelisic	0.0467314
Fuhrman	0.0465661
Cashman	0.0465364
Juma	0.0464138
"Ron Brown"	0.046286
Insulza	0.0462664
Geiger	0.0460005
Hartsburg	0.0458659
Howell	0.0457773
Christensen	0.0451148
Neilson	0.0448774
McKay	0.0442202
Breuer	0.0442118
Crabtree	0.0439536
Sponeck	0.0437927
Yitzhak	0.0437553
Hauser	0.0436314
BORAS	0.0435353
Rawabdeh	0.043529
Ruehe	0.0434793
Perec	0.0433622
Edelstein	0.0432841
Jovanovic	0.0432557
"Gary Brown"	0.0431771
Callahan	0.0431099
Meguid	0.0429905
Coelho	0.0429785
"Peter Verniero"	0.0428633
McCabe	0.0428624
"Sarah Hughes"	0.042837
Troussier	0.0423772
Benes	0.0422756
"Jerry Jones"	0.0421459
"Kenneth W. Starr"	0.042124
Hiddink	0.0419223
Dunleavy	0.0417632
Marineau	0.0416742
Sorensen	0.0415946
Manuel	0.0415511
"Zoran Djindjic"	0.0412779
"Michel Camdessus"	0.0412771
Kurtz	0.0411808
Blum	0.0411364
"David Smith"	0.0408283
Cowher	0.0408022
"Lee Hsien Loong"	0.04076
Bragg	0.0407083
Heinrichs	0.0405925
Paxon	0.0405475
Severino	0.0404552
Cochran	0.0403889
Ebersol	0.0403307
Penders	0.0402664
Lindland	0.040161
Bolger	0.0401526
Gascoigne	0.0400786
))
("Buck Williams" (desc 1336.42) (sims
"Chris Mills"	0.144348
"Matt Bullard"	0.108796
"Grant Long"	0.101564
"Terry Cummings"	0.100685
"Samaki Walker"	0.0969131
"Mario Elie"	0.092535
"Richard Smith"	0.0894594
"Mike Miller"	0.088967
"Malik Rose"	0.0865992
"Danny Manning"	0.0860184
"Tony Massenburg"	0.0855842
"Dennis Scott"	0.0839907
"Princess Anne"	0.0836513
"John Starks"	0.0831087
"Stacey Augmon"	0.0805978
"Dale Hunter"	0.0794908
"Juergen Klinsmann"	0.0778307
"Donyell Marshall"	0.0770435
"Jack Valenti"	0.0763781
"Clyde Drexler"	0.0761663
"Dirk Nowitzki"	0.0761183
"Jerome Kersey"	0.0757271
"Dominique Wilkins"	0.0753602
"John Wallace"	0.0744268
"Ricardo Alarcon"	0.0741151
Beckenbauer	0.0738886
"Greg Anthony"	0.0734763
"Marcus Camby"	0.0732192
"Sam Perkins"	0.0731671
"Robert Horry"	0.0724326
"Hu Weidong"	0.0724104
"CORIE BLOUNT"	0.0723549
"Etan Thomas"	0.0721616
"Glenn Robinson"	0.0716979
"Rick Tocchet"	0.0716699
"Joao Havelange"	0.0714594
"Kim Yong Nam"	0.0709206
"Charles Barkley"	0.0704075
"Mike Sullivan"	0.0687718
"Ian Wright"	0.0673937
"Martti Ahtisaari"	0.0673326
"Carmen Policy"	0.0665588
"Antonio Davis"	0.0664624
"Sepp Blatter"	0.06564
"Michael Smith"	0.0654741
"Clarence Weatherspoon"	0.0650709
"John Sweeney"	0.064874
"Frank Joklik"	0.0647308
"Dan Majerle"	0.0645256
"Jamie Feick"	0.0644972
"Steve Thomas"	0.0639388
"Dejan Savicevic"	0.0631164
"Zhou Guangzhao"	0.0626197
"Michel Platini"	0.0624625
"Hakeem Olajuwon"	0.0623188
"Kurt Thomas"	0.0622563
"Othella Harrington"	0.061422
"Carlos Rogers"	0.0609081
"Lee Hamilton"	0.0608104
"Otis Thorpe"	0.0606421
"Wang Yan"	0.0601961
"Wang Tao"	0.0598499
"Cliff Ronning"	0.0598228
"Alen Boksic"	0.0597443
"Navy Seal"	0.0595042
"Kenyon Martin"	0.0592105
"Travis Knight"	0.0586974
Sweeting	0.0583717
"Joe Smith"	0.0582685
"Juan Antonio Samaranch"	0.0581478
"Sam Cassell"	0.0580223
"Alexei Kovalev"	0.0579671
"A.C. Green"	0.0578876
"Brian Grant"	0.0578635
"Faustino Asprilla"	0.0578114
Bebeto	0.0577396
"Herb Williams"	0.0569088
"Shannon MacMillan"	0.0568222
"Lee Nailon"	0.0566161
"Tom Welch"	0.0564772
"Corliss Williamson"	0.0564682
Noonan	0.0564055
"James Barksdale"	0.0562494
"Gheorghe Hagi"	0.0557999
"Terry Porter"	0.0556771
"Jacques Santer"	0.0555197
"Sean Farnham"	0.0554943
"Matt Maloney"	0.0554288
"Scott Harshbarger"	0.0552811
"Larry Bird"	0.0552099
"Jason Kapono"	0.0551673
"Clifford Robinson"	0.0550957
"Robert Brooks"	0.0550683
"Wendel Clark"	0.0547798
"Ted Donato"	0.0547488
"Guy Carbonneau"	0.0546867
"Hao Haidong"	0.0544747
"Eric Wynalda"	0.0542971
"Mark Cuban"	0.053973
"Bill Walton"	0.0538552
"Tom Johnson"	0.0538203
"Jarvis Turner"	0.0535356
"Steve Kerr"	0.0535191
"Jumaine Jones"	0.0533093
"Olusegun Obasanjo"	0.0531677
"Dave Checketts"	0.0531035
"Ivan Zamorano"	0.0528181
"Bobby Rahal"	0.0526689
"Mario Andretti"	0.0524275
Camdessus	0.0522411
"Anthony Mason"	0.0520805
"Chea Sim"	0.0520586
"Paul Silas"	0.0519189
"Reggie White"	0.0517027
"Julius Nyerere"	0.0514057
"Archbishop Desmond Tutu"	0.0513725
"Billy Hunter"	0.051369
"SCOTT BURRELL"	0.05107
"Charles Haley"	0.0510547
"Martin Luther King III"	0.051031
"Shareef Abdur-Rahim"	0.0510018
"Vin Baker"	0.0509856
"Carlos Hermosillo"	0.0508863
"Kirk Muller"	0.0507492
"police lieutenant"	0.0504429
"Billy Payne"	0.0503041
"Chris Porter"	0.0499504
"Nwankwo Kanu"	0.049926
"Ketumile Masire"	0.0496783
"Dale Ellis"	0.0496661
"Franz Beckenbauer"	0.0496654
"DeLisha Milton"	0.0495944
"Gabe Muoneke"	0.0495228
Klerk	0.0494832
"David Robinson"	0.0493082
"Sam Clancy"	0.0492488
"Jamal Mashburn"	0.0492067
"Courtney Alexander"	0.0491766
"Chris Dudley"	0.0489944
"Biljana Plavsic"	0.0489719
"Chen Muhua"	0.0488743
"foreign service officer"	0.0488667
"Vincent Damphousse"	0.0488543
"Antawn Jamison"	0.0488061
"Rasheed Wallace"	0.048799
"Chris Carrawell"	0.0487789
"Alberto Tomba"	0.0486936
"Craig Ludwig"	0.0486323
"Li Tieying"	0.0484992
"Michelle Akers"	0.0482447
"Wang Daohan"	0.0482089
"Sean Rooks"	0.0480668
"Darrell Waltrip"	0.0480603
"Darren McCarty"	0.0478547
"Tom Gugliotta"	0.0478408
"aerospace engineer"	0.0477838
"James Dobson"	0.0477592
"Rob DiMaio"	0.0477297
"Julius Erving"	0.0476956
"Marcus Fizer"	0.0475534
Izetbegovic	0.0473663
"Kris Clack"	0.0473396
"John Shalikashvili"	0.0472167
"Mike Keane"	0.0471958
Welton	0.0470778
Moonves	0.047041
"Gary Trent"	0.0468945
"Rico Hines"	0.0468718
"Cedric Ceballos"	0.0468675
"Brian Rolston"	0.0468462
"Phillippi Sparks"	0.0467677
"Chris Mullin"	0.0467167
McGrady	0.0467062
"Austin Croshere"	0.0466896
Scruggs	0.046683
Klinsmann	0.0465527
"Pat Garrity"	0.0464296
"Dave Reid"	0.0461782
"Eric Cantona"	0.0460625
"Richard Jefferson"	0.0460211
"Matthew Barnaby"	0.0459505
Mukora	0.0458534
"Luis Hernandez"	0.0457884
"Doc Rivers"	0.0457365
"Brian Skrudland"	0.0456468
"Otis Smith"	0.0455572
"Wim Duisenberg"	0.0455023
"Joe Juneau"	0.0454687
"J.R Reid"	0.045428
"Ernie Irvan"	0.0454004
"Steve Heinze"	0.0453758
"Michael Finley"	0.0453273
"Trace Armstrong"	0.0453057
"Joe Dumars"	0.0452497
"Mitt Romney"	0.0452023
"Diego Maradona"	0.0451933
"Grant Hill"	0.0451295
Nebiolo	0.0450484
"Brian Scalabrine"	0.0450324
submariner	0.0448839
))
(bucket (desc 30244.8) (sims
pail	0.141338
jar	0.125582
bag	0.124936
jug	0.123685
pot	0.120725
container	0.11335
tub	0.10865
tray	0.106086
bottle	0.105648
basket	0.100608
sack	0.0963313
bowl	0.0947986
box	0.0911993
crate	0.085123
"trash can"	0.0848854
suitcase	0.083458
vase	0.0834111
cooler	0.0812849
can	0.0799434
"grocery bag"	0.0796699
shovel	0.0787384
barrel	0.078219
carton	0.0776197
drum	0.0771843
bathtub	0.0766653
backpack	0.0766624
glass	0.0763825
kettle	0.0742255
tank	0.0738801
briefcase	0.0722558
hose	0.0722338
puddle	0.0722171
pan	0.0719487
"paper bag"	0.0708045
wheelbarrow	0.0705404
VAT	0.0704397
broom	0.0696513
rake	0.0695992
Bin	0.0695824
pile	0.0690732
"shopping bag"	0.0687662
blanket	0.0680479
tube	0.0679968
Tin	0.067976
cup	0.0679472
"garbage can"	0.0668827
"water bottle"	0.0668388
trunk	0.0664811
saucepan	0.0660202
pouch	0.0653243
"folding chair"	0.0651752
pipe	0.0641272
vial	0.0638642
scraper	0.0630745
drawer	0.0624283
dish	0.0622242
bowls	0.0622066
pond	0.0614541
"duffel bag"	0.061427
plate	0.0613701
"water tank"	0.0610274
towel	0.060993
ball	0.0604807
sheet	0.0603562
cage	0.0598084
pillow	0.0595824
mop	0.0587373
mattress	0.0587239
bed	0.0581908
"trash bin"	0.0579767
lantern	0.0579163
stool	0.0575583
pocket	0.057554
layup	0.0572189
urn	0.0571594
canister	0.0570523
basin	0.0564613
chair	0.0562329
envelope	0.0561387
coffin	0.0559796
keg	0.0559641
truckload	0.055726
sheeting	0.0554993
"coffee cup"	0.0554485
freezer	0.0550771
hat	0.0550261
quart	0.0549011
"lawn chair"	0.0548001
lamp	0.0547838
ton	0.0543462
cask	0.0542174
"gas tank"	0.0538742
Spoon	0.0538736
"shopping cart"	0.0528315
"beer can"	0.0527052
knife	0.0525492
gallon	0.0525191
glove	0.052507
pool	0.052349
rack	0.052231
pad	0.0522247
sock	0.0522053
bouquet	0.051773
closet	0.0516958
bundle	0.0516296
ashtray	0.0514184
chunk	0.0513349
pallet	0.051173
shoe	0.0510651
refrigerator	0.0509839
pit	0.0508925
cylinder	0.0506918
"mixing bowl"	0.0505385
toilet	0.0504927
pellet	0.0503702
"file cabinet"	0.0502818
heap	0.0501682
tent	0.0500659
boot	0.0500546
wallet	0.0497909
helmet	0.0496465
trough	0.0496173
luggage	0.0494042
table	0.0493028
brush	0.0492365
wad	0.0491989
cart	0.0490787
trash	0.0490666
"teddy bear"	0.0487976
racquet	0.0485946
packet	0.0483203
cloth	0.0483021
truck	0.0482997
"more than @@,@@@ tons"	0.0479256
boat	0.0477212
pen	0.0477012
slipper	0.0476919
slab	0.0476613
bat	0.0476213
saucer	0.0474214
ocean	0.047387
mailbox	0.0473523
ax	0.0472129
dunk	0.0471937
trailer	0.0471713
satchel	0.0471666
candle	0.0470148
umbrella	0.0468576
Casket	0.0466592
teapot	0.0466299
utensil	0.0464997
layer	0.0462744
Shell	0.0461439
mouth	0.0461086
balloon	0.0460225
mug	0.0460144
skillet	0.0458517
mixture	0.0457582
cube	0.0456498
lake	0.0452526
locker	0.0451472
folder	0.0450168
platter	0.0449373
fountain	0.0449277
"baseball bat"	0.0448243
brick	0.0447111
cupboard	0.0447044
tarp	0.0446635
foam	0.044593
piles	0.044397
furniture	0.0443898
shower	0.0443728
coat	0.0443106
"free throw"	0.044189
tubing	0.0441489
layups	0.0441477
shaft	0.044078
hanger	0.0439259
"cutting board"	0.0438649
Garbage	0.0438163
reservoir	0.0437919
van	0.0437074
mouthful	0.0436751
glob	0.0435785
mirror	0.0435557
shelf	0.043472
bench	0.0434185
capsule	0.0433829
gun	0.0433651
wagon	0.0431589
bleach	0.0431122
dirt	0.0430443
quantity	0.0430427
cavity	0.0430365
canoe	0.043007
backhoe	0.0429899
stack	0.0428566
Beer	0.0428558
casing	0.0428476
"fire extinguisher"	0.0428395
))
("bucket seat" (desc 2649.31) (sims
airbags	0.120204
sunroof	0.120025
"steering wheel"	0.117999
defroster	0.111637
"outside mirror"	0.10713
armrest	0.0978902
"power steering"	0.0968672
"air bag"	0.0950018
headrest	0.0949401
legroom	0.093487
air-conditioning	0.0917108
"audio system"	0.0896197
brake	0.0890998
wiper	0.0881983
"suspension system"	0.085642
changer	0.0852204
"cruise control"	0.0802929
banquette	0.0795396
upholstery	0.0792039
headroom	0.0761374
wastebasket	0.0737202
"automatic transmission"	0.0724756
seating	0.0717335
"windshield wiper"	0.071494
steering	0.0704567
"seat belt"	0.0699944
miniskirt	0.0691105
earphone	0.0677763
"CD player"	0.0656992
recliner	0.0636044
fascia	0.0634979
axle	0.0631913
windscreen	0.0602531
"cassette player"	0.0589813
earpiece	0.0589695
"seating area"	0.0581885
V-@.	0.0580286
washer	0.0571033
windshield	0.0568709
armchair	0.0563186
jacks	0.0549067
"cargo area"	0.0547728
"shock absorber"	0.0545134
"Windows Media Player"	0.0529203
pouch	0.0526129
"cowboy hat"	0.0520489
wheels	0.0518793
soaking	0.0509837
"safety feature"	0.0506962
webbing	0.0503604
holster	0.0500833
"sliding door"	0.0500814
brassiere	0.049606
tailgate	0.049525
Sash	0.0490566
"sound system"	0.0490234
"cowboy boot"	0.0490028
"sitting room"	0.0489232
headlight	0.0480458
tuner	0.0474785
wristband	0.0474738
staterooms	0.0472075
"rearview mirror"	0.0468438
stereo	0.045878
G-string	0.0457709
shoring	0.044817
"purchase contract"	0.044354
chap	0.0443192
chaise	0.0442658
"Mac OS"	0.0438855
L'Equipe	0.0438758
choker	0.0437118
fender	0.04364
sprayer	0.0434308
"waiting area"	0.0432253
four-cylinder	0.0430739
"color television"	0.0429912
heater	0.0428992
kilt	0.0428874
Wishbone	0.0425135
getup	0.0424923
sideburn	0.0424777
pleat	0.0424173
"gas stove"	0.042255
"toilet seat"	0.04215
winch	0.0421083
"stereo system"	0.0420373
gearbox	0.0420322
loader	0.0419523
spoiler	0.0418792
Pantsuits	0.0417348
burner	0.0416687
fastener	0.0416287
ABS	0.0414914
headboard	0.041437
converter	0.0413534
playpen	0.0409528
rubbing	0.0408133
seatbelt	0.040595
"purchase agreement"	0.0405471
"evening bag"	0.0404037
grille	0.040399
"nose ring"	0.0402391
"golf bag"	0.0400818
"office staff"	0.0400378
))
(buckeye (desc 10786.3) (sims
wildcat	0.241186
Boilermakers	0.228856
gamecock	0.203233
"Ohio State"	0.183999
"blue devil"	0.18178
Seminoles	0.181598
Longhorn	0.179902
Trojan	0.178627
husky	0.178555
"Nittany Lions"	0.175637
Cornhusker	0.175438
bulldog	0.172325
Sooners	0.166358
"Tar Heels"	0.165468
bearcat	0.1625
matador	0.162378
bruin	0.160622
Razorback	0.160482
"Crimson Tide"	0.160255
Gators	0.159929
terrapin	0.156231
Aggies	0.156207
Vols	0.154437
"Red Storm"	0.153872
Hawkeyes	0.148887
Spartan	0.147974
badger	0.14684
Jayhawks	0.145296
Lobos	0.144836
Hokies	0.144091
Minutemen	0.1435
Wolverine	0.141219
cougar	0.140204
Huskers	0.139973
Eagles	0.138314
"yellow jacket"	0.138242
"Golden Hurricane"	0.137826
Purdue	0.137709
"Kansas State"	0.135918
"Scarlet Knights"	0.133934
"Florida State"	0.127736
Hoosier	0.127653
Wolfpack	0.126767
"Penn State"	0.125589
bronco	0.123361
"Michigan State"	0.122806
Seahawks	0.122461
"Fighting Irish"	0.12182
falcon	0.121554
Illini	0.120408
BEARS	0.120325
Sonics	0.119806
MetroStars	0.119705
"Virginia Tech"	0.118533
sixer	0.118468
pacer	0.118147
"Iowa State"	0.117399
UCLA	0.116972
LSU	0.116896
"Horned Frogs"	0.116675
Pepperdine	0.116444
BUCCANEER	0.115316
panther	0.114141
Tennessee	0.113072
grizzly	0.112982
charger	0.112727
OSU	0.112726
Canuck	0.111523
"Red Raiders"	0.111387
Raven	0.111279
Sparks	0.111263
packer	0.111074
cardinal	0.110651
UConn	0.109954
Gonzaga	0.109748
sabre	0.109653
UMass	0.109396
CSUN	0.109274
"Georgia Southern"	0.109094
Bengals	0.108989
Redskin	0.108922
Viking	0.108665
Bucs	0.108035
"Old Dominion"	0.107904
USC	0.10785
Cavs	0.107605
NAU	0.107598
Lakers	0.107213
ram	0.106957
raider	0.106633
gopher	0.1064
devil	0.106253
Timberwolves	0.105802
Rutgers	0.10547
BYU	0.104956
cowboy	0.104078
cavalier	0.103823
ASU	0.103571
Stephenville	0.102932
Giants	0.102669
Stanford	0.102172
"Notre Dame"	0.101987
Hoya	0.101954
maverick	0.101568
oiler	0.10145
K-State	0.100933
Celtics	0.100931
"North Carolina State"	0.10073
Duke	0.0994941
spur	0.0994897
"Dallas Cowboys"	0.0985997
Hofstra	0.0984518
Starzz	0.098346
Buffaloes	0.0982667
Padre	0.0979991
Knicks	0.0977418
patriot	0.0976587
Syracuse	0.0971232
dolphin	0.0970733
"Red Wings"	0.0969581
"Maple Leafs"	0.0959827
blazer	0.0959358
"Georgia Tech"	0.09589
TCU	0.0957909
piston	0.0957169
"Arizona State"	0.0957071
Baylor	0.0954938
Nebraska	0.0953502
hawk	0.0951888
"Texas Tech"	0.0950332
"Phenix City"	0.0946951
"Seton Hall"	0.0946338
Orangemen	0.0940453
"Tampa Bay"	0.093658
Blackhawks	0.0930544
Hornet	0.0929114
clipper	0.0929033
Steelers	0.0917765
"Denver Broncos"	0.0903159
"Boston College"	0.0900821
"Trail Blazers"	0.0900726
duck	0.0900055
ASTROS	0.0899981
owl	0.0899341
"Miami Heat"	0.0898116
Sox	0.0895445
"Colorado State"	0.0892901
FSU	0.0892257
brave	0.0888042
"New York Jets"	0.0886298
titan	0.0885739
"Oklahoma State"	0.0885674
"Tennessee Titans"	0.0884998
tiger	0.088437
"San Diego Chargers"	0.0884277
"Sanchez Vicario"	0.0883185
comet	0.0882244
Stoltenberg	0.087793
"N.C. State"	0.0874707
"Chicago Bears"	0.0873757
RedHawks	0.0873734
lumberjack	0.086865
"Oregon State"	0.0866299
"Team USA"	0.0866076
"Mississippi State"	0.0865694
MSU	0.0865677
Seahawk	0.0862038
Rattler	0.0858591
Cal	0.0853526
Springbok	0.0852477
ranger	0.0849651
colt	0.0849284
diamondback	0.0848705
"Los Angeles Galaxy"	0.0847225
Clemson	0.0847165
Supersonics	0.0847107
niner	0.0845066
"Louisiana Tech"	0.0840929
"Southwest Missouri State"	0.0839806
rios	0.0836825
Canadiens	0.0831625
Jaguar	0.0830531
Av	0.0830298
"New York Giants"	0.0820431
Utes	0.0819584
Orioles	0.0818022
Bayern	0.0813502
Raptor	0.0813476
Clavet	0.0812939
tech	0.0812525
SMU	0.0811347
frog	0.0811095
"Red Sox"	0.0810209
beaver	0.0809865
cyclone	0.0808194
UAB	0.0807914
Villanova	0.0804404
"St. Louis Rams"	0.0803211
"ATLANTA FALCONS"	0.0802816
"Peter Nicol"	0.0800063
))
(Buckhead (desc 6089.83) (sims
"Greenwich Village"	0.146229
Bedford-Stuyvesant	0.132953
Soho	0.126243
Chatsworth	0.125684
"Hollywood Hills"	0.125129
"Park Slope"	0.120276
Tribeca	0.119329
"North Beach"	0.119298
"Washington Heights"	0.117139
Brentwood	0.115799
"Left Bank"	0.115198
Tarzana	0.115099
Alpharetta	0.115061
Midtown	0.11024
"Van Nuys"	0.109772
"West Hollywood"	0.109596
"Woodland Hills"	0.10945
Bensonhurst	0.108976
"South End"	0.10721
"Beverly Hills"	0.106095
"Palm Beach"	0.105857
beachfront	0.105542
"East Village"	0.105381
Encino	0.10502
Dunwoody	0.103495
"Miami Beach"	0.103196
BRIGHTON	0.103194
"Little Italy"	0.102364
"East Harlem"	0.102226
"South Beach"	0.102048
Flatbush	0.100344
oceanfront	0.10031
"Crown Heights"	0.0989535
lakefront	0.0985338
Kensington	0.0979856
"Brighton Beach"	0.0978932
Dorchester	0.097241
"San Fernando Valley"	0.096975
"Granada Hills"	0.0961457
Flushing	0.0954417
"East New York"	0.0954046
lakeside	0.092561
Manhattan	0.0923642
Roxbury	0.0921996
"Borough Park"	0.0905434
"Midtown Manhattan"	0.0902564
Chinatown	0.0902489
"East Hampton"	0.0900667
"Cherry Hill"	0.0900653
"College Park"	0.0900233
"Bel Air"	0.0896259
"South Bronx"	0.0893861
"North End"	0.0891875
"Fort Worth"	0.0889079
"Century City"	0.0885553
"Santa Monica"	0.0884896
Williamsburg	0.0883394
Jonesboro	0.0882453
"Highland Park"	0.0878301
"Lake Worth"	0.0878074
"French Quarter"	0.0870189
Harlem	0.0864806
"Garden City"	0.0862905
"East Los Angeles"	0.0857816
Tempe	0.0855477
Charlestown	0.0854656
"Sherman Oaks"	0.0847126
"Hell's Kitchen"	0.0846033
"Studio City"	0.0844839
Georgetown	0.0844657
"Little Havana"	0.08439
Westport	0.0842365
Brooklyn	0.0833725
Englewood	0.083232
Greenwich	0.0821626
Watertown	0.0816504
"West Palm Beach"	0.0815727
"White Plains"	0.080764
"Old Town"	0.0806061
"West Los Angeles"	0.0787738
Ridgewood	0.0786829
"Harvard Square"	0.078641
Glendale	0.0775289
Chappaqua	0.0773942
Riverdale	0.0772087
"North Hollywood"	0.0762207
Montclair	0.0753216
riverside	0.0752844
LAKEWOOD	0.0748967
"West Village"	0.074702
"Gwinnett County"	0.0746977
Pelham	0.0746558
"Hyde Park"	0.0746194
Tijuana	0.0739405
"Port St. Lucie"	0.0739401
Yonkers	0.0738728
Stockbridge	0.0736867
Littleton	0.0736735
Bronx	0.0729207
"Mill Valley"	0.0728786
"East Orange"	0.0727702
"Johnson County"	0.0726667
"Ciudad Juarez"	0.0722907
"Forest Hills"	0.0720467
Aberdeen	0.0719226
Pasadena	0.0717369
off-campus	0.0713991
"Red Hook"	0.0713487
Reseda	0.0709027
Norcross	0.0705935
"Beacon Hill"	0.0703929
"Culver City"	0.070389
Mayfair	0.070294
Dearborn	0.0700637
"Sandy Springs"	0.0696746
"Saratoga Springs"	0.0688256
"Times Square"	0.0687856
Plano	0.0687143
Conyers	0.0686213
Savannah	0.0680909
Bridgehampton	0.0679125
"South Boston"	0.0678019
riverfront	0.0674261
Woodside	0.0674024
"Fort Lee"	0.0673707
"Paradise Valley"	0.0672447
Medina	0.0671895
"Upper East Side"	0.067109
"East Boston"	0.0670588
"Tel Aviv"	0.066872
"Coral Gables"	0.0665697
"Baton Rouge"	0.0664212
Spokane	0.0662674
"Westchester County"	0.066232
"West Berlin"	0.0661936
"Santa Fe"	0.0661887
Jasper	0.0660091
Juarez	0.0658978
"Overland Park"	0.0655729
"Marin County"	0.0652194
Luxor	0.0650723
Metroplex	0.0649837
Limassol	0.0649065
Nashua	0.0648555
beachside	0.0647694
Kirkland	0.064643
Roswell	0.064622
Duluth	0.0645441
Astoria	0.0644814
Braintree	0.0643896
"Palo Alto"	0.0640899
Carmel	0.0639106
"inner city"	0.0638386
"Jersey City"	0.0635905
"The Bronx"	0.0634003
Tarrytown	0.0633394
Gulu	0.06331
"Round Rock"	0.063283
Beaufort	0.0630963
Westfield	0.0630136
Clifton	0.0627336
Honolulu	0.0624236
"Union City"	0.0623925
"New Rochelle"	0.0622547
"east side"	0.0620357
"Staten Island"	0.0618637
Brixton	0.0616342
Sausalito	0.0616159
"San Rafael"	0.0612883
Medford	0.0612509
"Little Rock"	0.061223
Zhongguancun	0.0611926
"Mexico City"	0.0610488
Norwood	0.0610487
Minneapolis	0.0610331
Fremont	0.0608623
ASHEVILLE	0.0605988
Kettering	0.0605441
Pacoima	0.0599008
Brownsville	0.059712
Gloucester	0.059636
"Central Jakarta"	0.0594805
Woburn	0.059478
Somerville	0.0592741
Utica	0.0592293
"Boca Raton"	0.0589861
Watts	0.0586245
ARCADIA	0.0583051
Naples	0.0580711
Burlingame	0.0579886
"La Jolla"	0.0578989
"San Pedro"	0.0578295
Smyrna	0.05767
Albany	0.0576666
Hattiesburg	0.0576483
Memphis	0.0575857
Chelsea	0.0575432
Westchester	0.0575092
Oxnard	0.0575006
"Mission Viejo"	0.057472
))
(Buckingham (desc 889.485) (sims
Hazzard	0.141181
Allchin	0.109058
Eubanks	0.0927102
alba	0.0917464
Finkel	0.0896963
Sutherland	0.0887912
Rodionov	0.0882902
"Orlando Mercado"	0.0879552
Kensington	0.0855656
Ibarra	0.0854679
Schmalensee	0.0848856
Musa	0.0847758
Sassa	0.0846042
Napolitano	0.0841121
Ratner	0.0833837
Sperling	0.0810613
Verney	0.0810281
Whitsitt	0.0797428
Hamlin	0.0788752
Jorgensen	0.0787354
Stroganoff	0.0786759
Wolfson	0.0785135
Kornberg	0.0776394
Sato	0.0774169
Barksdale	0.0773614
"John Podesta"	0.0764931
Singson	0.0763682
Massey	0.0762554
Maritz	0.0755614
"Kim Jong-pil"	0.0754205
Kerasiotes	0.0750795
Marlborough	0.0745524
Raitt	0.0739612
"Erskine Bowles"	0.0733385
Flanagan	0.0733017
Atkinson	0.0732576
Koskinen	0.0731461
Meeks	0.0721514
Iger	0.0718322
Grossman	0.071732
"Richard Cheney"	0.0707624
"Robert E. Rubin"	0.070541
Choate	0.0702276
Cortez	0.0692721
Harmoko	0.0690278
Pugh	0.0688313
Venables	0.0682843
Gowda	0.0678498
Nunez	0.0677658
Siazon	0.0675972
DiCarlo	0.0669777
"Bill Lann Lee"	0.066785
Rossotti	0.0665864
Myhrvold	0.0664457
Prewitt	0.0663923
CEC	0.0661989
Malu	0.065899
Rossello	0.0655829
Watanabe	0.0655129
Tevanian	0.0653676
"Harold Ickes"	0.0653221
Severino	0.0653075
Lamberth	0.0651161
Danforth	0.0650403
Glaser	0.0650396
Strauss-Kahn	0.0645618
Biden	0.0643725
Meissner	0.0638513
rebuilt	0.0637106
Kushner	0.0631114
Lew	0.0628531
Rudman	0.0628522
Colburn	0.0628476
Lorraine	0.062827
Knapp	0.0626382
DeFrantz	0.0626344
Beaufort	0.0624313
Zarb	0.0624063
McLeod	0.0621488
Azizan	0.061971
"James Hormel"	0.0619124
Edelman	0.0616292
Nemtsov	0.0614348
Wilhelm	0.061431
Gosper	0.0613813
McGuinness	0.0613798
Orleans	0.0612454
Fassett	0.0611834
McKenna	0.0610913
Fernandes	0.0606545
Schafer	0.0605695
Farah	0.0604733
Esposito	0.0603372
"Rahm Emanuel"	0.0603349
Turetzky	0.0603208
Haskins	0.0602267
PITTS	0.0600263
Trulock	0.0599531
Gujral	0.059951
Stepashin	0.0599164
Solis	0.0592439
POLK	0.0591545
Mineta	0.0590351
Pryor	0.0590137
Ziegler	0.0589344
Juma	0.0588111
Padilla	0.0587683
Ulrich	0.0583311
Sheehy	0.0582392
Alderson	0.0582196
Sykes	0.0580519
Donnelly	0.0580381
Realtor	0.0579509
"Cincinnati Enquirer"	0.0578162
McGowan	0.0576433
hodgson	0.0575607
Snider	0.0575301
"Koichi Kato"	0.0572326
Aguirre	0.0572279
"National Security Adviser Sandy Berger"	0.0570965
Cleary	0.0570803
"Yediot Ahronot"	0.0570202
O'Neil	0.0566661
Brinkley	0.0566206
Ashrawi	0.056571
"Bill Skate"	0.0564458
Felten	0.0562698
Caddell	0.0562561
Tuttle	0.0560764
Ribbeck	0.055787
Ingraham	0.0557767
Galvin	0.0557108
Paulson	0.0555174
Gangelhoff	0.055472
Lari	0.0553298
Dodik	0.0552613
Jenoff	0.055226
Groscost	0.0551585
Margolis	0.0550503
Sutiyoso	0.0550406
Calabria	0.0547965
Aoki	0.0547513
"Defense William Cohen"	0.0547462
"administration official"	0.0545059
Hodler	0.0543897
Bhattarai	0.0543079
Rabe	0.0541855
Smyth	0.0541004
"Karl Rove"	0.0540307
Maher	0.0540204
Ra	0.0537936
Hersh	0.05372
Klima	0.0536745
Kasoulides	0.0535865
Sapp	0.0535234
Aventajado	0.0533259
Quigley	0.0533049
Natale	0.0532728
Guidry	0.0532376
LaPierre	0.0531915
McNamara	0.0531715
Troussier	0.0531432
Misuari	0.0531155
"Anatoly Chubais"	0.0530401
Feuer	0.0529127
Amos	0.0527765
Higgins	0.0526441
Anelka	0.0523079
ADL	0.0522572
Soares	0.0522138
Pape	0.051971
"Sydney Morning Herald"	0.0519599
Hirsch	0.0519035
Alioto	0.0518573
Levitt	0.0517709
Jobe	0.0516993
Hitchens	0.0516723
Osborne	0.0515987
Bradshaw	0.0515669
Condit	0.0515408
Spyridon	0.0514671
Goldin	0.0514544
Azizah	0.051447
Rau	0.0514078
Bruton	0.051368
Baugh	0.0511035
Vasquez	0.051007
Faget	0.0509757
Kato	0.0509725
Kennard	0.0506989
Conley	0.050687
kraut	0.0505193
Eizenstat	0.0505
Nasrallah	0.0503014
Nickerson	0.0501236
McManus	0.0500207
Constantine	0.0498492
Isner	0.0498378
Shelton	0.049713
"Ung Huot"	0.0496984
))
("Buckingham Palace" (desc 5864.69) (sims
"British Foreign Office"	0.185863
"Windsor Castle"	0.156968
"French Foreign Ministry"	0.117663
"foreign office"	0.115091
"Israeli Foreign Ministry"	0.10796
"U.S. Defense Department"	0.107361
"Turkish Foreign Ministry"	0.104206
"International Badminton Federation"	0.103696
"Downing Street"	0.101045
"Defense Ministry"	0.100855
"Justice Ministry"	0.100725
"Iranian Foreign Ministry"	0.0988003
"Central Election Commission"	0.0940353
"Russian Foreign Ministry"	0.0939405
"U.S. State Department"	0.0915123
"Ministry of Defense"	0.0907369
"Hong Kong Monetary Authority"	0.0893722
"Thai Foreign Ministry"	0.0863508
"Interior Ministry"	0.086082
"Foreign Ministry"	0.085333
"British Embassy"	0.0840046
palace	0.0831092
"State House"	0.08289
"Russian Defense Ministry"	0.0826611
"Presidential Palace"	0.0820795
Waldorf-Astoria	0.0820478
"Israeli Embassy"	0.0765357
"Russian Embassy"	0.0762484
Kremlin	0.0760804
"English Football Association"	0.075398
"city hall"	0.0745538
"State Department"	0.0744508
"Waldorf-Astoria Hotel"	0.0743312
"Royal Palace"	0.0736376
"Home Ministry"	0.0735428
SAA	0.0731143
"U.S. Embassy"	0.0726788
"Chinese Foreign Ministry"	0.070456
"Labor Ministry"	0.0701354
"Department of Health"	0.0696505
"Health Ministry"	0.069204
"Ministry of Public Security"	0.0687734
"Australian Bureau of Statistics"	0.0685853
"Commerce Ministry"	0.0677847
"Agriculture Ministry"	0.067301
"U.S. Treasury Department"	0.0672244
"Finance Ministry"	0.0670285
"British government"	0.0668083
"Imperial Palace"	0.0664567
"Shrine Auditorium"	0.0662562
UNAMET	0.0660662
"National Bureau of Statistics"	0.0659141
Pentagon	0.0654944
Massport	0.0652986
"Ministry of Trade and Industry"	0.0646805
HKMA	0.0639689
Vatican	0.063727
INEC	0.0632335
"Treasury Department"	0.0624055
"Orient House"	0.0621992
"Nuclear Regulatory Commission"	0.0620308
"John Bruton"	0.0619354
"Scotland Yard"	0.0618377
"Defense Agency"	0.0616996
"National Election Committee"	0.061514
UCI	0.0614286
consulate	0.0613175
Capitol	0.0610225
"parade ground"	0.0609858
"German Embassy"	0.0607297
DFB	0.0606076
"Jenny Shipley"	0.0605545
"Japanese Embassy"	0.0605511
NCEC	0.0605353
Kasoulides	0.0603751
"National Electoral Commission of Nigeria"	0.0603177
mansion	0.060295
"British High Commission"	0.0600237
Christie's	0.0598081
HKTA	0.0595208
"Wembley Stadium"	0.0594406
Spago	0.0585902
"Ministry of Foreign Affairs"	0.0579143
Providian	0.0577306
"Pascoal Mocumbi"	0.0577304
DEP	0.0577074
"Turkish Embassy"	0.0576332
"MCI Center"	0.0573891
"U.S. Soccer Federation"	0.056977
"U.S. Environmental Protection Agency"	0.0569607
"Transportation Department"	0.0568408
CAA	0.0568006
"Hong Kong Tourist Association"	0.0566453
"Plaza Hotel"	0.0565909
"Blair House"	0.0563747
"Amnesty International"	0.0563713
"Information Ministry"	0.0561347
"Ben-Gurion Airport"	0.0560506
"Chinese Embassy"	0.056022
"Department of Commerce"	0.0559792
"Antonio Guterres"	0.0559426
"de Charette"	0.0557695
"Education Department"	0.0555959
"Defense Department"	0.0555173
"Health Department"	0.0553796
"Ritz-Carlton Hotel"	0.0551674
"Turner Field"	0.0551348
ICRC	0.0551347
"Texas Department of Public Safety"	0.05507
organisers	0.0549608
"police headquarters"	0.0549536
"Department of Corrections"	0.0549147
"Elysee Palace"	0.0549055
"Housing Authority"	0.0548484
Corcoran	0.0545858
Shea	0.0543047
"Central Bureau of Statistics"	0.0541402
"Tourism Authority of Thailand"	0.0539646
"John Major"	0.0539627
NRC	0.0538247
NHTSA	0.0537841
Ritz-Carlton	0.0537731
guesthouse	0.0534867
"International Amateur Athletic Federation"	0.0534429
"Yasukuni Shrine"	0.0534026
"Ministry of Foreign Trade and Economic Cooperation"	0.0532416
"Israeli Army"	0.05311
"Education Ministry"	0.0531065
"Labor Department"	0.0529635
"Department of Foreign Affairs"	0.0529257
"Football Association"	0.0528925
"Chavalit Yongchaiyudh"	0.0528051
"London Stock Exchange"	0.0527975
"Airport Authority"	0.0527567
"Environmental Protection Agency"	0.0527212
Secretariat	0.0527066
UEFA	0.0524802
"National Police"	0.0522297
"State Bank of Pakistan"	0.0522134
"Federal Aviation Administration"	0.0521496
"Commerce Department"	0.0519991
"Jack Straw"	0.0518743
"Con Ed"	0.0518625
"Radio City Music Hall"	0.0518347
"National Theater"	0.0516483
"Independent Electoral Commission"	0.0513789
F.A	0.0511543
CWA	0.0510898
Wyeth-Ayerst	0.0510087
"Energy Department"	0.0509824
FIA	0.050821
NSA	0.0507904
"Lee Hsien Loong"	0.0507643
"P&AMP;G"	0.0506213
townhouse	0.0505955
Demaci	0.0504881
JPL	0.0504825
SANDF	0.0503076
"State Statistics Bureau"	0.0502579
Railtrack	0.0500232
"Tim Fischer"	0.0498995
"International Red Cross"	0.0497416
"Sydney Opera House"	0.0497355
"Hyatt Regency"	0.0497124
"Ministry of Finance"	0.0496929
"Kenyan Government"	0.0496671
Basilica	0.0496363
AHP	0.0495922
"Orlando Mercado"	0.0495914
ritz	0.0495231
"Ministry of Agriculture"	0.0494538
"John Prescott"	0.0493784
"National Highway Traffic Safety Administration"	0.0493282
"Census and Statistics Department"	0.0493201
"Philippine Central Bank"	0.0492448
"Arlington National Cemetery"	0.0491936
CDC	0.0487717
"Helen Clark"	0.0487193
"Dodger Stadium"	0.0487055
"Civil Aviation Authority"	0.0486767
"Federal Election Commission"	0.048669
"America West Arena"	0.0485884
"Metropolitan Opera House"	0.0483844
"Bank Negara"	0.0482133
"EU Commission"	0.04821
"Israeli Cabinet"	0.048201
Kornberg	0.0481789
"Georgia Power"	0.0480995
FIBA	0.0479076
"Bulent Ecevit"	0.0478915
"Sara Lee"	0.0477252
CIRC	0.0476836
"Culture Ministry"	0.047621
"George Robertson"	0.0476029
HHS	0.0475804
"Great Hall"	0.047406
"Royal Ulster Constabulary"	0.0473082
"Reunion Arena"	0.0472363
NSC	0.0471526
"Whitney Museum of American Art"	0.0471433
))
(buckle (desc 2872.44) (sims
chalice	0.0995493
tiara	0.0895416
waistband	0.0763613
barrette	0.0739652
threads	0.0723891
G-string	0.0716326
tassel	0.0686356
"belt buckle"	0.0656449
blinker	0.0642211
"Star of David"	0.0632072
earring	0.0627688
bead	0.06239
wristband	0.0613691
bracelet	0.0609731
blinder	0.0596149
"mink coat"	0.0594522
flatware	0.059429
Sari	0.0587785
cladding	0.0585627
velcro	0.058252
pompadour	0.0574687
embroidery	0.0570169
stiletto	0.0569189
pasty	0.0567228
"cowboy boot"	0.0566321
pendant	0.0562994
stitching	0.0560141
pulley	0.055912
bandana	0.0558216
miniskirts	0.0554045
toolbars	0.0552269
grille	0.0552251
"fur coat"	0.05497
"shock absorber"	0.0546672
holster	0.0545578
medallion	0.0543072
padding	0.054161
hairpiece	0.0537281
waistcoat	0.053426
bikini	0.0532044
crucifix	0.0531579
Zipper	0.0530776
shingles	0.0527768
"picture frame"	0.0527216
splint	0.0526242
cityscape	0.0524239
cufflink	0.0523404
prosthesis	0.0520921
truncheon	0.0519587
cutlery	0.0519354
leotards	0.0515946
"lounge chair"	0.0513825
jumpsuit	0.0510827
"ice pack"	0.0505796
"life vest"	0.0503119
"Love Lucy"	0.0497178
flapper	0.0496109
"stiletto heel"	0.0494046
seatbelt	0.0492304
STETSON	0.0485781
"high fashion"	0.048543
"dark glasses"	0.0483917
"nose ring"	0.0483869
Thong	0.0477215
suspender	0.047659
sequin	0.0475112
"cocktail dress"	0.0472479
Mylar	0.0469527
"bulletproof vest"	0.0468669
armband	0.0468032
stethoscope	0.046687
leash	0.0463811
"pocket watch"	0.046373
headband	0.046312
necklace	0.0460437
decal	0.0458799
bandanna	0.0456851
legging	0.0452867
spandex	0.0451329
"life preserver"	0.045061
Goblet	0.0447058
lampshade	0.0445439
"gas stove"	0.0444283
bauble	0.0442159
bodysuit	0.044213
headboard	0.0440519
stanchion	0.0440108
visor	0.0439428
wig	0.0438851
amulet	0.043822
"neck brace"	0.0436568
talisman	0.0435126
sinew	0.0433372
Rolex	0.0433084
timepiece	0.0432666
tux	0.0432228
spinnaker	0.0431971
candlestick	0.0431311
DKNY	0.0431161
applique	0.0429356
"hard hat"	0.0424305
Brasserie	0.0422733
vinyl	0.0420347
"business suit"	0.0419595
suede	0.0417573
Tooth	0.0417487
yarmulke	0.0415042
earpiece	0.0414481
girdle	0.0413707
swoosh	0.0413512
linoleum	0.0409692
"frozen foods"	0.0406973
trowel	0.0405741
right-click	0.0404516
"running shoe"	0.0403589
silverware	0.0403491
"Lincoln Town Car"	0.0402884
fastener	0.0402252
decanter	0.0401957
eyeglass	0.040195
"storm trooper"	0.0400719
camisole	0.040026
))
(Buckley (desc 5552.44) (sims
Berenson	0.0982822
Shulman	0.0925712
Fahey	0.0858968
Cline	0.0838388
Greenwald	0.0797921
Dowd	0.0795954
Bowers	0.0794666
Kurtz	0.0775652
Bosman	0.0762335
Betts	0.0761408
Kurth	0.0759923
Mahoney	0.075089
Swenson	0.0749029
Merritt	0.0742103
"US Supreme Court"	0.073435
McIntyre	0.0725898
Stacy	0.0724569
Lowey	0.0719792
Faget	0.0718108
Dixon	0.0711863
Villanueva	0.0708708
Hsia	0.0708426
Cisneros	0.0700816
Menchu	0.0698574
Cleary	0.0697242
Gaynor	0.0696728
Boyle	0.0692378
Fleischer	0.0688408
Rosenberg	0.0686595
Tuinei	0.0684884
Sheehy	0.0680766
Winkler	0.0679535
Mullen	0.0678678
Shearer	0.0678398
bock	0.0675672
Vogel	0.0674194
Gotti	0.0673018
Pearce	0.0672785
Mikhailov	0.0667023
Garza	0.0665894
Hage	0.0665014
Wiggins	0.066326
Ferguson	0.0660043
Vasquez	0.065805
Scruggs	0.0657039
Rosenthal	0.0655564
Bulatovic	0.0654945
Farber	0.0652924
Salinger	0.0650298
singleton	0.065027
Adler	0.0649179
Herrera	0.0649088
Flores	0.0648514
Tuttle	0.0647918
Newhouse	0.0647169
Gravano	0.0647133
Henley	0.0645233
Hamlin	0.0644848
Gilman	0.0644835
Donohue	0.06441
fowler	0.064344
Levin	0.0642926
Donnelly	0.0641392
Doyle	0.0640944
Meyers	0.064012
Ono	0.0638948
Brennan	0.0637822
Mortimer	0.063708
Meissner	0.0636085
Goldstein	0.0635846
Hecht	0.0634615
Byers	0.0634365
Yastrzhembsky	0.0633104
Brazile	0.0633054
Roberson	0.0631915
McCormack	0.0631821
Kopp	0.0631325
Ackerman	0.0628188
Dwyer	0.06279
Kagalovsky	0.0626949
Rivlin	0.0625366
Frankel	0.0624963
Pape	0.0624451
Schwartz	0.0624005
Imperatori	0.0619489
Bhutto	0.0618168
LeFave	0.0617917
Blackthorne	0.0617697
Steele	0.0617674
Oliveira	0.0617603
Fiorina	0.0616289
Sakic	0.0615607
Lindbergh	0.0614785
Larson	0.0612871
Michaels	0.0612154
McDermott	0.061175
Shayler	0.0609992
Matthews	0.0608903
Macdonald	0.060886
Bates	0.0608741
Kalejs	0.0608426
Ramsey	0.0608026
McGovern	0.0607537
Morton	0.0606666
Horne	0.0605471
Silverman	0.0604045
Olson	0.0603002
Kornberg	0.0602461
Darnell	0.0602317
Schneider	0.0601732
Goodman	0.060142
Mcbride	0.0599558
Walton	0.0599243
Miranda	0.0599169
Grossman	0.0599099
Friedman	0.0598331
Hinckley	0.0597773
Herman	0.0597654
Sorensen	0.05971
Ricci	0.0596981
Hagen	0.0594208
Lowry	0.0593936
Hanna	0.0592898
Brawley	0.0592413
Soliah	0.0591167
Baum	0.0590691
Atkinson	0.0590279
Karr	0.0589689
Stayner	0.0589668
Nasrin	0.0589132
Wolff	0.0588413
Broaddrick	0.0588343
Zhao	0.0587936
Hamilton	0.0587904
Sharpe	0.0587691
Karbaschi	0.0586906
Egan	0.0586712
Ivey	0.0585122
Berezovsky	0.058336
Lundberg	0.0583258
Keenan	0.0582172
Connolly	0.0580778
Callaghan	0.058061
Higgins	0.0580524
Shinn	0.0580105
Osborne	0.0579602
Meehan	0.0579396
Fagan	0.0577983
Hersh	0.0577471
Symington	0.0576948
hale	0.057666
Lerner	0.0576479
Tilberis	0.0575917
Shepard	0.0575739
Arbour	0.0575681
Ozawa	0.0575294
Bowman	0.0573863
MacKay	0.0573025
Edwards	0.0572718
Baez	0.0572706
Skakel	0.057238
Watkins	0.0572007
Shapiro	0.0571802
Schiff	0.0571683
Sullivan	0.0571343
Whitacre	0.0571326
O'Connell	0.0571239
Duff	0.0570924
Garofalo	0.0570046
Hiett	0.0569831
Britton	0.056904
Weinberg	0.056813
Schmitz	0.0567758
Barrett	0.0566455
Farrell	0.0565655
Zuckerman	0.0564452
Murray	0.056444
Godfrey	0.0563631
Garvey	0.0563522
Davies	0.0563479
Holmes	0.0563121
Hoffman	0.0562569
Koop	0.0561876
Sheppard	0.0560836
Mckee	0.0559888
Mott	0.0559744
Chmura	0.0559288
Mucha	0.0559201
Flockhart	0.0558992
DeFrantz	0.0558543
O'Connor	0.0558226
Valenzuela	0.0557756
Schmalensee	0.0557425
Harmon	0.0556954
Simons	0.0555909
Weizman	0.0555725
Zarkin	0.0555588
Brock	0.0555524
Abram	0.0554873
Webster	0.0554458
))
("Buckshot Jones" (desc 1745.16) (sims
"Elliott Sadler"	0.223509
"Kenny Wallace"	0.19732
"Joe Nemechek"	0.194937
"Steve Park"	0.18616
"Kyle Petty"	0.169788
"Johnny Benson"	0.165808
"Dale Earnhardt Jr."	0.164473
"Jerry Nadeau"	0.164347
"Ernie Irvan"	0.162109
"Matt Kenseth"	0.160577
"Tony Stewart"	0.143337
"Jeremy Mayfield"	0.140528
"Ricky Craven"	0.136691
"Kevin Lepage"	0.134317
"Michael Waltrip"	0.133535
"Kenny Irwin"	0.130393
"Bobby Hamilton"	0.127483
"Ricky Rudd"	0.124185
"Rusty Wallace"	0.120568
"Adam Petty"	0.118038
"Ken Schrader"	0.114256
"Mike Skinner"	0.114156
"Dick Trickle"	0.114117
"Robby Gordon"	0.113784
"Dale Earnhardt"	0.111434
"Bobby Labonte"	0.1111
"Terry Labonte"	0.110493
"Mark Martin"	0.10135
"Bill Elliott"	0.0999912
"Ted Musgrave"	0.0983612
"Sterling Marlin"	0.0949009
Zanardi	0.089595
"Darrell Waltrip"	0.0834422
"Jimmy Spencer"	0.0832611
"Ralf Schumacher"	0.0826215
"Geoffrey Bodine"	0.0795474
"Jeff Gordon"	0.0791586
"Ephraim Salaam"	0.0776363
"Ward Burton"	0.0766746
"Earnhardt Jr."	0.07665
"Dale Jarrett"	0.076003
"Scott Pruett"	0.0759458
"Wally Dallenbach"	0.075218
"Greg Moore"	0.0738456
"Leon Smith"	0.0733039
"Jeff Burton"	0.0730458
"Juan Montoya"	0.0728268
"Manny Legace"	0.0709957
"Todd Husak"	0.0695153
"John Andretti"	0.0694398
"Randall Simon"	0.0690257
"Jeff Weaver"	0.0689744
"Rafael Furcal"	0.0678817
Earnhardt	0.0676576
"Kevin Williams"	0.067289
"Bobby Rahal"	0.066622
"Adrian Fernandez"	0.0660265
"Wilton Veras"	0.0656346
"Al Unser Jr."	0.0651819
"Brett Hinchliffe"	0.0649114
"Eddie Cheever"	0.063826
"Jacques Villeneuve"	0.063482
"Ryan Glynn"	0.0632265
"Manny Fernandez"	0.0630697
"Greg Ray"	0.0620557
"Richard Petty"	0.0618656
"Flozell Adams"	0.0609488
Irvan	0.0607716
"Todd Bodine"	0.0606088
"Bryan Herta"	0.0602291
Luyendyk	0.0598058
"Devean George"	0.059563
"Odalis Perez"	0.0589848
Labonte	0.0583945
"Norm Maracle"	0.0582755
"Skip Hicks"	0.0577841
"Gil Meche"	0.057061
"Alex Zanardi"	0.0557752
"Olli Jokinen"	0.0553741
"Tim Hudson"	0.0553539
"Seth Etherton"	0.0552099
"BRIAN MEADOWS"	0.0550352
"Ed Yarnall"	0.0547023
"Damon Hill"	0.0546262
"David Dellucci"	0.054517
"Billy Boat"	0.0545166
"Jin Ho Cho"	0.0543288
"Pat Burrell"	0.0542101
"Peerless Price"	0.0541912
"Brad Penny"	0.0541009
"John Avery"	0.0538475
"Mitch Meluskey"	0.0538115
"David Boston"	0.0537858
"Mario Edwards"	0.0537581
"Manny Malhotra"	0.0537414
"Matt Luke"	0.0536559
"Bruce Aven"	0.0535202
Villeneuve	0.0534908
"stock car"	0.0534551
"Raef LaFrentz"	0.0533173
"John Snyder"	0.053288
"Charlie Batch"	0.0529661
"Casey Martin"	0.0527197
"wage scale"	0.0525477
"Scott Gomez"	0.0524728
"Sam Schmidt"	0.0524263
Schrader	0.0522024
"Adrian Griffin"	0.0520933
"Ukari Figgs"	0.0517943
"Kevin McGlinchy"	0.0517587
"Solomon Page"	0.0516946
"Ray Evernham"	0.0516755
"Shawn Marion"	0.0515968
"John Grahame"	0.051515
"Eric Gagne"	0.0513932
"Mike Caruso"	0.0512674
"MIka Hakkinen"	0.0512486
Waltrip	0.0511081
"Angel Pena"	0.0508437
"Brenden Morrow"	0.0507584
"Max Papis"	0.0507078
"Curtis Enis"	0.0506516
"Michael Booker"	0.0505029
"Doug Johnson"	0.0504804
rudd	0.0503784
"Tyrone Nesby"	0.0500831
"Ebenezer Ekuban"	0.0499573
"Tom Brady"	0.0496853
"Terrence Long"	0.0495628
"Dario Franchitti"	0.0494371
"Erubiel Durazo"	0.0494014
"J.D Drew"	0.0493042
"Dion Glover"	0.0488324
Montoya	0.0487965
"Jason Fabini"	0.0487833
"Brian Rose"	0.0487167
"Jose Jimenez"	0.0481557
"Keith Brooking"	0.0479537
"Carlos Febles"	0.047807
"Paul LoDuca"	0.0477861
"Tyronn Lue"	0.0477731
Jarrett	0.047672
"Kenny Thomas"	0.0476406
"Donnie Sadler"	0.0476317
"Shammond Williams"	0.047578
Scalabrine	0.0474093
"Fred Taylor"	0.0469174
"Russ Ortiz"	0.046748
"Robert Edwards"	0.0467259
"Didier Auriol"	0.0466099
"Jeff Williams"	0.046552
"Jon Sim"	0.0464517
"Champ Bailey"	0.0462373
"Vladimir Stepania"	0.046216
"Einar Diaz"	0.0461203
"Kenny Brack"	0.0460835
"Brian Skinner"	0.0459894
"Jamie Arnold"	0.045907
"Chad Pennington"	0.0457391
"Mike Judd"	0.0457183
"Eric Milton"	0.0454466
"Fred Brathwaite"	0.0453187
"Mike Moore"	0.0452653
"Tebucky Jones"	0.0452257
"Michael Andretti"	0.0451367
"Chris Drury"	0.0447663
"Dan Cloutier"	0.0444261
"Mika Salo"	0.0442567
"Tony Simmons"	0.0441424
"Charles Woodson"	0.0439926
"Ruben Mateo"	0.0438717
Sanan	0.0438315
Valhol	0.0437915
"Ruben Patterson"	0.0436083
Lennox	0.0433059
"Chris Claiborne"	0.0432597
"J.R Redmond"	0.0432047
"Shaun King"	0.0431535
"Andre Wadsworth"	0.0431369
Evernham	0.0430301
"Trot Nixon"	0.0428886
Lassiter	0.0428843
"Tim Dwight"	0.0425762
"Doug Davis"	0.0425658
Olano	0.0425275
"Matt Harpring"	0.0423088
"Toby Bailey"	0.0421894
Lepage	0.0421118
Hornaday	0.042002
"Onan Masaoka"	0.0418366
"Patrik Stefan"	0.041769
Brack	0.0417352
"Robert Traylor"	0.0417314
"Christian Fittipaldi"	0.0416419
Cavs	0.0416397
"Ramon Ortiz"	0.0415203
"Edgerrin James"	0.0414808
Cowens	0.0414072
"Thomas Jones"	0.0411956
"Mike Lamb"	0.041165
))
(buckwheat (desc 2987.32) (sims
alfalfa	0.161984
maize	0.13314
sorghum	0.131452
wheat	0.11433
cassava	0.112177
barley	0.109418
sugarcane	0.109088
corn	0.107691
soybean	0.106733
oilseed	0.105825
"sunflower seed"	0.102807
"opium poppy"	0.101626
"sweet corn"	0.101328
coca	0.101132
"sugar beet"	0.0997933
"oil palm"	0.0997589
"sugar cane"	0.0952296
grain	0.0946201
sunflower	0.0928006
"wheat flour"	0.091679
cornmeal	0.0913435
clover	0.0892074
hemp	0.0860295
cashew	0.0856191
radish	0.0822336
paddy	0.0818396
bean	0.0814603
poppy	0.0814207
oat	0.0810991
millet	0.0806874
potato	0.0797466
"sweet potato"	0.0777629
cocoa	0.0773461
flax	0.0755466
rye	0.0741577
watermelon	0.0736243
cotton	0.0725227
tapioca	0.0724781
seedling	0.0723528
blueberry	0.0718268
Quince	0.0715641
jute	0.071233
opium	0.0712249
"coffee bean"	0.0702274
pea	0.0700991
seaweed	0.0695632
banana	0.0672732
"hot pepper"	0.0668237
canola	0.0659408
grape	0.0650475
"brown rice"	0.0649116
spaetzle	0.0643379
"lima bean"	0.064335
bamboo	0.0639071
shrimp	0.0636477
LNG	0.0627793
abalone	0.0627078
Pillsbury	0.0611506
mutton	0.0610383
almond	0.0605869
agave	0.0601608
"cane sugar"	0.0595198
beet	0.0594594
walnut	0.058807
"string bean"	0.0586488
bran	0.0586208
"liquefied natural gas"	0.0576523
"food grain"	0.0575155
"palm oil"	0.0574703
"precious metal"	0.0574599
bhang	0.0569591
wasabi	0.0568498
acorn	0.0568454
pistachio	0.0566381
"powdered milk"	0.0565813
kelp	0.0564197
cellophane	0.0563273
rapeseed	0.056171
coconut	0.056158
"cashew nut"	0.0560579
"raw meat"	0.0559536
spinach	0.0558856
pork	0.0556142
marihuana	0.0554617
"iron ore"	0.0552968
"alcoholic beverage"	0.0551363
Burley	0.0550062
matzo	0.054765
peony	0.0546499
okra	0.0545213
sesame	0.0543073
Tuber	0.0535912
noggin	0.0534185
pumpkin	0.0533244
"pig iron"	0.0532184
hay	0.052335
"fish meal"	0.0522802
"dried fruit"	0.0520176
"sea food"	0.051842
telomerase	0.0516909
starch	0.0511277
cranberry	0.0506329
"diesel oil"	0.050504
cabbage	0.0502841
"cooking oil"	0.0501575
biogas	0.0498559
smallholder	0.0496844
legume	0.0494639
Chickpea	0.0494597
pineapple	0.0490361
citrus	0.0489104
polypropylene	0.0488909
cucumber	0.0487465
"coconut milk"	0.0482198
crawfish	0.0478851
ethylene	0.0473704
camellia	0.0472772
napalm	0.0472091
"California wine"	0.0472054
ginseng	0.046938
eel	0.0468014
melon	0.0467928
poultry	0.0465272
"coconut oil"	0.0463797
urea	0.0461346
clove	0.0460226
"bean sprout"	0.0458962
petrochemical	0.0456194
"cat food"	0.0455221
"citrus fruit"	0.0454097
sod	0.0453189
"pinto bean"	0.0451994
Broccoli	0.0451417
gourd	0.0450804
"frozen food"	0.0447925
marigold	0.0447629
seafood	0.0447538
leek	0.0446949
oatmeal	0.0444966
sludge	0.0440377
oyster	0.0438015
"tomato paste"	0.0437048
"about @@,@@@ acres"	0.0436389
tortilla	0.0436336
"plate glass"	0.0435051
sumac	0.0434778
Skoda	0.0434524
"chicken broth"	0.0433143
Lasagna	0.0432823
grapefruit	0.0432811
hashish	0.043273
cannabis	0.0432667
sapling	0.043154
lettuce	0.0429416
zucchini	0.0429383
asparagus	0.0429361
"steel plate"	0.0428338
Yucca	0.0427525
OS/@	0.0427124
"wind power"	0.0426674
interferon	0.0426586
"household appliance"	0.0426024
"toxic waste"	0.0426017
bitumen	0.0425014
cane	0.042399
nutmeg	0.0423885
fodder	0.041939
lentil	0.0418141
litchi	0.0418111
plutonium	0.0416991
"coal gas"	0.041599
tulip	0.0414837
kudzu	0.0413608
coolant	0.0412988
POTASH	0.0412567
"compact car"	0.0412308
amaryllis	0.0410347
ammo	0.040959
eggplant	0.0403857
"horseshoe crab"	0.0403387
yam	0.0402887
macaroni	0.0401951
vermiculite	0.0401841
"caustic soda"	0.040117
"more than @,@@@ pounds"	0.0400539
cinnamon	0.0400047
))
(Bucs (desc 7564.76) (sims
Steelers	0.187335
BUCCANEER	0.186266
Seahawks	0.179523
BEARS	0.166914
Sooners	0.164453
Redskin	0.157924
Huskers	0.157012
Boilermakers	0.152567
charger	0.14921
Seminoles	0.148909
Bengals	0.14713
falcon	0.145638
bronco	0.144602
Eagles	0.14288
Hokies	0.14224
Aggies	0.139271
Giants	0.139082
"Nittany Lions"	0.138566
Wolfpack	0.136366
Vols	0.135777
Hawkeyes	0.134911
ram	0.133136
Minutemen	0.132528
"Crimson Tide"	0.132445
wildcat	0.132335
packer	0.129061
gamecock	0.128873
Viking	0.127863
raider	0.123569
"Minnesota Vikings"	0.122474
colt	0.121631
cowboy	0.121436
dolphin	0.121419
"Tampa Bay Buccaneers"	0.120776
oiler	0.120541
Gators	0.120447
"Tampa Bay"	0.120143
bearcat	0.120103
UNT	0.119601
"San Francisco @@ers"	0.118825
"Carolina Panthers"	0.117906
badger	0.117752
Raven	0.1171
"Miami Dolphins"	0.11622
cougar	0.116101
patriot	0.115991
MetroStars	0.115195
Trojan	0.115144
"New York Jets"	0.115138
"Dallas Cowboys"	0.114897
NAU	0.114802
Jayhawks	0.114422
cardinal	0.114417
"Tar Heels"	0.114317
"Indianapolis Colts"	0.114225
"Red Raiders"	0.112597
"yellow jacket"	0.111908
"Green Bay"	0.111697
panther	0.11142
K-State	0.110984
matador	0.110204
"San Diego Chargers"	0.109692
"Horned Frogs"	0.109524
"Buffalo Bills"	0.10943
Lobos	0.109045
OSU	0.109019
CSUN	0.108823
"Scarlet Knights"	0.108129
buckeye	0.108035
ou	0.10787
Cavs	0.107861
Longhorn	0.107404
titan	0.106869
Spartan	0.10668
Illini	0.106371
Wolverine	0.106264
"blue devil"	0.106157
Razorback	0.106085
Stephenville	0.105941
"St. Louis Rams"	0.104437
"Red Storm"	0.103911
"Kansas State"	0.103072
husky	0.100904
bulldog	0.100744
Sonics	0.100524
"Golden Hurricane"	0.100504
"Washington Redskins"	0.100066
"Denver Broncos"	0.100002
"Tennessee Titans"	0.099933
"Fighting Irish"	0.0987839
USC	0.0985325
ASU	0.0975736
"Georgia Southern"	0.0966325
bruin	0.0964412
UMass	0.0960366
TCU	0.095583
Cornhusker	0.0949172
Celtics	0.0946266
terrapin	0.0934018
"Chicago Bears"	0.0930877
"New York Giants"	0.0929492
ASTROS	0.0928633
"Seattle Seahawks"	0.0926016
BYU	0.0925889
"Mississippi State"	0.091593
"Virginia Tech"	0.0915865
"ATLANTA FALCONS"	0.0911632
RedHawks	0.0908525
Jaguar	0.0906039
Pepperdine	0.0902908
Phillies	0.0902072
lion	0.0900135
"Penn State"	0.0897316
"Florida State"	0.0894426
"Philadelphia Eagles"	0.0893013
Rattler	0.0891478
Sparks	0.0888548
"Oregon State"	0.0887738
Saint	0.0886434
Starzz	0.08849
sabre	0.0880491
jet	0.087917
UCLA	0.0878513
Rutgers	0.087837
FSU	0.087367
"Pittsburgh Steelers"	0.0870184
Hofstra	0.0867527
Tulane	0.0867517
Padre	0.0865943
"New England Patriots"	0.0859542
"Kansas City Chiefs"	0.0854195
grizzly	0.0853683
"Ohio State"	0.0853015
"Oakland Raiders"	0.0850491
tech	0.0843853
Buffaloes	0.0841931
thrasher	0.083775
LSU	0.0837587
maverick	0.0836276
"Red Wings"	0.0835581
Mets	0.0834994
"Iowa State"	0.0820217
Fordham	0.0808636
cavalier	0.0805624
Orioles	0.0805144
Cal	0.0804541
Terps	0.0803319
Lakers	0.0802812
Hornet	0.080117
Jacksonville	0.0800458
BC	0.0799911
UConn	0.0793599
"Trail Blazers"	0.0793473
Baylor	0.0791331
Purdue	0.0789727
clipper	0.0788826
Tennessee	0.0787742
Denver	0.0785835
"Cleveland Browns"	0.0785037
Hoosier	0.0782408
"devil ray"	0.078128
sixer	0.0780868
Canuck	0.0779674
"blue jay"	0.0779572
"Red Sox"	0.0776872
gopher	0.0775413
"Michigan State"	0.0774467
Gonzaga	0.0773645
MSU	0.0773372
"Oklahoma State"	0.0771046
hawk	0.0767311
diamondback	0.0767244
Hoya	0.0767212
Nebraska	0.0763492
AEK	0.0762128
Av	0.0761503
Timberwolves	0.0760431
"Baltimore Ravens"	0.0755927
Canadiens	0.0751157
"N.C. State"	0.0751018
Knicks	0.0750099
marlin	0.0744839
Lehigh	0.0744517
"St. Bonaventure"	0.074277
Marquette	0.0740626
"D.C. United"	0.0739768
WSU	0.073967
piston	0.0736663
"Cincinnati Bengals"	0.0736631
A's	0.0736449
"Maple Leafs"	0.073581
UAB	0.0734513
Minnesota	0.0732908
dodger	0.0731571
telomerase	0.0730258
"Appalachian State"	0.0727192
Royals	0.0726223
"Green Bay Packers"	0.0725608
cub	0.0725562
brave	0.0724008
))
(Bud (desc 19611.7) (sims
blossom	0.0980352
flower	0.0918303
foliage	0.0908017
bloom	0.0841154
leaf	0.0836875
petal	0.064681
pod	0.0619433
bulb	0.0614131
stem	0.0602845
stalk	0.0601238
fruit	0.0594613
tulip	0.0593938
Budweiser	0.0566334
berry	0.0532525
blob	0.0505266
azalea	0.0504248
skin	0.0481568
twig	0.0479901
palate	0.0477282
sapling	0.0477003
perennial	0.047318
bubble	0.0469393
daffodil	0.046888
carnation	0.0468682
vine	0.0468594
Cherry	0.0463753
pansy	0.046076
vegetable	0.0456207
shrub	0.0456167
ribbon	0.0449759
critter	0.0445351
herb	0.0445326
Dave	0.0442533
chrysanthemum	0.0441297
"sweet corn"	0.0440199
insect	0.0436229
BOB	0.0433379
receptor	0.0432554
Richard	0.0431933
mike	0.0431313
lavender	0.0430988
grape	0.0429899
Arnold	0.0429677
wildflower	0.0420705
"coffee bean"	0.0419132
Larry	0.0417346
hydrangea	0.041653
puppy	0.0415852
crystal	0.0414634
Bruce	0.0414321
frond	0.0414202
limb	0.0413386
lily	0.0413376
Carl	0.0412399
Steve	0.0411637
nick	0.0411242
gum	0.0410665
corn	0.0409958
trunk	0.0407221
tom	0.0406798
Jim	0.0405559
Carlos	0.0405097
Kenneth	0.0404477
"brain cell"	0.040104
fella	0.0400958
))
("Bud Light" (desc 1192.29) (sims
Heineken	0.225363
Budweiser	0.190089
"Mountain Dew"	0.188346
Snapple	0.129786
"Miller Lite"	0.124202
Coors	0.120392
Sprite	0.102487
"soda pop"	0.0963044
whisky	0.0946907
lager	0.0928393
Evian	0.0891418
Pepsi	0.0887493
vodka	0.0880163
Gatorade	0.0877468
"Pepsi Cola"	0.0854726
"blue moon"	0.0825232
Carlsberg	0.081623
laxative	0.0801886
tequila	0.0785202
Guinness	0.0766759
Marlboro	0.0727908
Kool-Aid	0.0708222
"hush puppy"	0.0698752
"iced tea"	0.0697157
booze	0.0672755
absinthe	0.0670273
Corona	0.0669138
"Dom Perignon"	0.0651561
"Coca Cola"	0.064884
cola	0.0647488
ale	0.0643436
Chesterfield	0.0636695
"Taco Bell"	0.0630251
adidas	0.0619037
"root beer"	0.0607729
six-pack	0.0603125
shampoo	0.0596609
"Diet Coke"	0.0593959
"dirty joke"	0.0578922
"Cadbury Schweppes"	0.0571518
Levi's	0.0563247
quart	0.0562771
"ginger ale"	0.0549936
"mineral water"	0.0541855
Margarita	0.0531693
draught	0.0529298
"Willie Horton"	0.0527335
Seltzer	0.0522339
"Joe Camel"	0.0521966
pint	0.0518633
Cognac	0.0517335
bourbon	0.0517158
Casio	0.0512429
Orangina	0.0508422
bratwurst	0.0507177
belching	0.0505571
Oktoberfest	0.0490592
"Southwestern Bell"	0.0488127
Clinique	0.0482668
Claritin	0.0481112
"spring water"	0.0475877
Chianti	0.0471917
Beaujolais	0.0471193
stingray	0.0469843
Odwalla	0.0467183
Heinz	0.0465885
wasabi	0.0459398
teaser	0.0457522
"California wine"	0.04575
Haagen-Dazs	0.0456218
"sea food"	0.0455934
smoothie	0.0454665
sipping	0.0453385
Mastercard	0.0453042
lemonade	0.0452542
"cup of tea"	0.0449293
"fruit juice"	0.0448914
weakling	0.044586
Anheuser-Busch	0.0443669
crockery	0.0439258
grappa	0.0436818
gerbil	0.043503
docker	0.0429059
Benetton	0.0427167
"Pizza Hut"	0.0424686
"Banana Republic"	0.0424456
antiseptic	0.0423828
"up to two"	0.0421863
Tylenol	0.042078
"candy bar"	0.0418976
REVLON	0.0414124
L'Oreal	0.0412191
"J&AMP;J"	0.0408679
"skin care"	0.0408143
"motor scooter"	0.040365
eggnog	0.0403431
nettle	0.040268
Tamale	0.0401489
RNC	0.040135
))
("Bud Selig" (desc 2496.96) (sims
Selig	0.195288
"David Stern"	0.183316
"Peter Angelos"	0.159637
"Mary Robinson"	0.158709
"Leon Brittan"	0.132224
Broek	0.131948
"Jerry Buss"	0.12268
"Jerry Reinsdorf"	0.113446
"Robert Kraft"	0.111741
"Chris Patten"	0.103636
"Leon Hess"	0.0951481
"Garry Mauro"	0.093216
"Al Davis"	0.0926691
"Tom Hicks"	0.0924571
"Mark Cuban"	0.0909352
Ciampi	0.0888787
"Daniel Snyder"	0.0886218
"Marge Schott"	0.0862478
"Jerry Colangelo"	0.0849541
Havelange	0.0823511
"Jerry Jones"	0.0806159
Kerik	0.0790913
Mauro	0.0783864
"George Steinbrenner"	0.0780076
Ruthardt	0.0757062
Tagliabue	0.075181
Iger	0.074891
"Herb Kohl"	0.0740523
Titov	0.0735479
"Billy Hunter"	0.073393
"Charlton Heston"	0.0732886
"Jimy Williams"	0.071714
Moakley	0.0709652
Verniero	0.0708259
Safir	0.0705133
"Bob McNair"	0.0705122
Stoneman	0.0688394
"John Henry"	0.0688021
Zeroual	0.0687999
Hickman	0.068648
Arpaio	0.067512
Montiel	0.0675105
Hevesi	0.066052
Morgenthau	0.0656431
Klestil	0.0655418
Quackenbush	0.0651797
Mineta	0.0646153
Granik	0.0645915
Sezer	0.0643277
"Lucio Tan"	0.0642525
"Frank Stronach"	0.0634779
"Northeast Utilities"	0.0634718
"Bob Kraft"	0.0628575
Vogts	0.0625788
"Al Fayed"	0.0619819
Gullikson	0.0614441
Masire	0.0614265
"John Sweeney"	0.0614099
"Sadako Ogata"	0.0612786
Hayworth	0.0612742
Luethke	0.060246
hodgson	0.0602439
Tuberville	0.0600949
"Kim Jong-pil"	0.0600281
Moscoso	0.0599977
Kessler	0.0598438
"Ted Turner"	0.0596532
"Mike Brown"	0.0595297
"Isiah Thomas"	0.0593578
Megret	0.0592844
"Joe Gibbs"	0.059035
Ruehe	0.0589591
Kouchner	0.0586892
D'Alessandro	0.0581183
Calipari	0.0578457
"Bora Milutinovic"	0.0574978
"Mitt Romney"	0.0574594
"Sandy Alderson"	0.0573236
Beckenbauer	0.0571308
Hanley	0.0570639
Gaffney	0.0569559
Whipple	0.0562674
Hirschbeck	0.0559841
Sharon	0.0558945
Herges	0.0557915
Stephanopoulos	0.0556351
"King Birendra"	0.0555385
Sather	0.0552815
Garcetti	0.055143
"Henry H. Shelton"	0.0550861
Ballmer	0.0550426
Lehrer	0.0550376
Demaci	0.054966
Leventhal	0.05492
Noboa	0.0544088
Westendorp	0.0542993
Nana	0.0540657
"Mark Green"	0.0538751
Yazdi	0.0538727
Brittan	0.0538123
Buthelezi	0.0538122
Nadler	0.0536724
emcee	0.0535613
Halloran	0.0535277
Heston	0.0534933
Sassa	0.0532685
Yarnall	0.053188
Jenoff	0.0530827
AOC	0.0530589
"Dan Duquette"	0.0530325
Eizenstat	0.052963
Arbour	0.0529118
Schippers	0.052836
Pegram	0.052648
Zagallo	0.0524774
Ebersol	0.0523908
Hynes	0.0522737
"Felipe Alou"	0.0520734
"Hearst Corp."	0.0519705
Maslyukov	0.0518978
Modell	0.0517802
Bulatovic	0.0517786
Lockyer	0.0517649
Passarella	0.0516841
Hallinan	0.0516069
Pryor	0.0515997
"Robert Rubin"	0.0515954
Izetbegovic	0.051542
"Michael Dell"	0.0515321
Katsav	0.0515052
Bidwill	0.0514721
Daft	0.0514331
Jerry	0.0513478
Reilly	0.0512006
"Martin Luther King III"	0.0510363
Hightower	0.0507854
Smaltz	0.0507758
Brazile	0.0506979
Bonner	0.0506695
"Vince McMahon"	0.0503595
burg	0.0503345
"Laura Bush"	0.050329
"John G. Rowland"	0.0503098
Zarb	0.0501479
"Ocean Spray"	0.0501217
Faget	0.0499257
Korman	0.0498877
UCI	0.0498266
"Defense William Cohen"	0.0498151
ATC	0.0497707
Kennard	0.0496821
Cornyn	0.0496478
"La Russa"	0.0495953
Santorum	0.0492837
Kyl	0.0492716
Teng-hui	0.0492368
Meciar	0.0491865
Lerner	0.0490875
GRUNFELD	0.0490413
"Tom Welch"	0.0489986
BURNHAM	0.0488858
"Gerald Levin"	0.0488446
"Red Auerbach"	0.0488223
Klaus	0.0487993
Reiner	0.048784
Magaziner	0.0487345
"Steve Ballmer"	0.0485348
"Stuart Eizenstat"	0.0485259
Naipaul	0.0484337
Scalfaro	0.0483944
Hicks	0.0483056
Aliev	0.0482787
Wenger	0.0481809
Mukora	0.048157
"Bruton Smith"	0.0481568
Lacresha	0.0480971
Ebbers	0.048022
Kushner	0.048014
Dunbar	0.0478067
Ekeus	0.047805
Zambrano	0.047586
Taubman	0.0475499
DeFrantz	0.0475146
Juanita	0.0474775
GRUDEN	0.0474514
ANGELOS	0.0474182
Nemtsov	0.0473493
"Igor Sergeyev"	0.0473325
Danforth	0.0473111
Barrionuevo	0.0473061
JetBlue	0.0471026
Majko	0.0471019
"Rupert Murdoch"	0.0470968
Trudeau	0.047052
Kearin	0.0469993
"Jacques Santer"	0.0469889
"Barry Diller"	0.0469361
Havel	0.0468605
"Department of Corrections"	0.0467952
Gorton	0.0467878
))
(BUDAPEST (desc 16798.7) (sims
Prague	0.236038
BUCHAREST	0.206287
SOFIA	0.198373
Vienna	0.195763
WARSAW	0.192781
ZAGREB	0.189875
BOGOTA	0.187565
BRUSSELS	0.185315
KIEV	0.185047
SEOUL	0.184846
ATHENS	0.184454
"Buenos Aires"	0.183508
CARACAS	0.178625
Helsinki	0.175135
"Mexico City"	0.174017
STOCKHOLM	0.172305
Madrid	0.171923
TUNIS	0.171833
JOHANNESBURG	0.170479
Istanbul	0.16949
Rome	0.16678
Manila	0.166705
"Phnom Penh"	0.165739
Jakarta	0.164057
Bangkok	0.163504
TIRANA	0.163126
CAIRO	0.163067
Berlin	0.161242
"Kuala Lumpur"	0.160835
Amman	0.160258
Luanda	0.15914
HARARE	0.158684
LISBON	0.158618
Santiago	0.158513
"Rio de Janeiro"	0.157214
DHAKA	0.156902
"Addis Ababa"	0.156898
HANOI	0.156772
Havana	0.155756
Tokyo	0.155363
Kathmandu	0.155353
Dushanbe	0.155157
KAMPALA	0.151595
Beirut	0.151502
"Tel Aviv"	0.150783
Algiers	0.150583
Moscow	0.14992
Paris	0.147441
Sarajevo	0.147238
Geneva	0.146514
"New Delhi"	0.146008
Copenhagen	0.14589
Quito	0.144889
LONDON	0.144549
Managua	0.144233
Tehran	0.143555
Amsterdam	0.142556
Islamabad	0.14248
BRASILIA	0.142356
Nairobi	0.142037
MAPUTO	0.141851
Zurich	0.141687
BRATISLAVA	0.139956
YANGON	0.13945
Riyadh	0.138684
COLOMBO	0.137495
Seville	0.136082
BELGRADE	0.136031
Bonn	0.135562
ANKARA	0.133446
Lusaka	0.132952
SANAA	0.131006
Khartoum	0.130787
"Ho Chi Minh City"	0.130438
TEGUCIGALPA	0.129802
"Santo Domingo"	0.129015
Munich	0.128503
Vientiane	0.127456
Rabat	0.1273
Dublin	0.127183
"Guatemala City"	0.126656
"La Paz"	0.126653
BEIJING	0.126504
"Sao Paulo"	0.126361
MONTEVIDEO	0.126083
NICOSIA	0.124439
Tripoli	0.124185
Lima	0.124069
Asmara	0.123887
Lausanne	0.123346
"Cape Town"	0.123062
Frankfurt	0.122126
Kigali	0.121201
"Ulan Bator"	0.121012
Wellington	0.120612
Dili	0.120301
Lagos	0.119991
"Panama City"	0.119304
Pristina	0.119248
Durban	0.119113
Kabul	0.1191
Auckland	0.118934
Kinshasa	0.118117
Yaounde	0.117975
Skopje	0.117632
MANAMA	0.11747
Taipei	0.117047
Pretoria	0.116671
"St. Petersburg"	0.11639
Milan	0.11629
"San Salvador"	0.11607
Perth	0.115666
"Abu Dhabi"	0.115596
Damascus	0.115542
Baghdad	0.11541
Kunming	0.115053
Tashkent	0.114846
Shanghai	0.114414
Oslo	0.114244
MELBOURNE	0.114231
Port-au-Prince	0.113102
Lhasa	0.112646
Minsk	0.111512
Wilmington	0.111151
Belfast	0.110985
Ottawa	0.110894
Osaka	0.110682
Baku	0.110266
"San Jose"	0.110183
Birmingham	0.110135
Tbilisi	0.11005
Tampa	0.10997
PYONGYANG	0.109719
Manchester	0.10926
Windhoek	0.109251
Sydney	0.109209
Canberra	0.108754
Hamburg	0.108587
Cartagena	0.108071
"Dar es Salaam"	0.107651
Alexandria	0.107047
JERUSALEM	0.106808
Abidjan	0.106253
Juba	0.105885
Maseru	0.105321
Asuncion	0.104872
"Little Rock"	0.10483
"Egyptian capital"	0.104673
Glasgow	0.104641
Dakar	0.104605
Minneapolis	0.104461
Urumqi	0.104082
CHENGDU	0.103852
"New Orleans"	0.103119
Brisbane	0.102947
Doha	0.101584
"CHIANG MAI"	0.101334
Accra	0.10102
Karachi	0.100596
"Las Vegas"	0.100574
Monrovia	0.100462
Bujumbura	0.100412
Katmandu	0.100122
PALERMO	0.0998344
Srinagar	0.0994846
Naples	0.0991743
Guangzhou	0.0989899
Hangzhou	0.0989492
Stuttgart	0.0988799
Gaborone	0.0978732
"San Juan"	0.0976779
Honolulu	0.0975741
Bissau	0.0975503
Montreal	0.0971758
Vilnius	0.0971635
Barcelona	0.09675
"Des Moines"	0.0964609
Guadalajara	0.0961793
Bali	0.0959557
Shenyang	0.0959348
"KUWAIT CITY"	0.0958254
TALLAHASSEE	0.0954537
Albany	0.0954535
Lome	0.0954447
Singapore	0.0953873
Winnipeg	0.0953395
Freetown	0.0952254
"Los Angeles"	0.0950388
Wuhan	0.0950077
Fukuoka	0.0947903
Lyon	0.0946998
Tuzla	0.0942661
Gaza	0.0939792
Bombay	0.0937564
"Fort Worth"	0.0936904
Davos	0.0930429
Kandahar	0.0930339
Calcutta	0.0930017
Abuja	0.0929721
Ramallah	0.0924257
))
(Buddha (desc 15149.2) (sims
Sakyamuni	0.148456
"Virgin Mary"	0.121755
lama	0.11024
"Panchen Lama"	0.10222
Christ	0.101683
Jesus	0.100971
Confucius	0.0969623
pagoda	0.0902018
"Jesus Christ"	0.0892205
Goddess	0.0822976
monk	0.0792586
statue	0.078057
Lenin	0.0729817
deity	0.072555
Sphinx	0.0712916
"Dr. Sun Yat-Sen"	0.0699192
dragon	0.0688068
grotto	0.0679837
lamasery	0.0679237
God	0.0673278
Sacagawea	0.0656382
"test-tube baby"	0.065367
mermaid	0.0650123
prophet	0.0634243
"Abraham Lincoln"	0.0633423
sculpture	0.0630182
Buddhist	0.0629792
Monastery	0.0619402
relic	0.0613138
Virgin	0.0612881
"Dalai Lama"	0.0610896
"Simon Bolivar"	0.0596162
Saint	0.0592068
"Martin Luther King Jr."	0.0589667
temple	0.0567859
Moses	0.056667
Gandhi	0.0564751
carving	0.0564404
emperor	0.0564152
nun	0.0561689
Krishna	0.0559343
Menuhin	0.0557354
Mao	0.0556528
Yat-sen	0.0555516
Diana	0.0550824
"civil rights leader"	0.0550538
Princess	0.0548186
martyr	0.0543863
"George Washington"	0.0542543
Selena	0.0541241
"Robert E. Lee"	0.0536645
"Adolf Hitler"	0.0535514
Allah	0.0535154
"Potala Palace"	0.0534017
Madonna	0.0532648
abbot	0.052923
"female body"	0.0525417
Abraham	0.0523897
tomb	0.05201
poet	0.052003
philosopher	0.051767
Karmapa	0.0516358
sutras	0.0515874
"St. Francis"	0.0515375
Goethe	0.0511226
"Deng Xiaoping"	0.050989
Lord	0.0505945
figurine	0.0500749
herdsman	0.04965
stele	0.049597
Tibetans	0.0495577
Mohammed	0.0492588
monument	0.0491385
marble	0.0491327
monkey	0.0488277
elephant	0.0483873
"Prophet Mohammed"	0.0482347
Guevara	0.0478792
treasure	0.047472
Zeus	0.0473881
"religious leader"	0.0473831
nobleman	0.047374
inscription	0.047021
giraffe	0.0470105
cherub	0.0468878
gargoyle	0.0468279
"Mao Zedong"	0.046738
pope	0.0465899
warrior	0.0465028
thinker	0.0462716
shrine	0.0461692
lion	0.0460511
ancestor	0.0460235
Deng	0.0460066
"wall painting"	0.045704
ox	0.0451046
"Benjamin Franklin"	0.0450166
Obelisk	0.0447071
Mary	0.0446016
"work of art"	0.0445606
Elvis	0.0445351
priest	0.0444121
"femme fatale"	0.0443316
artifact	0.0442586
disciple	0.0442454
statesmen	0.0442087
Pottery	0.044155
"Martin Luther King"	0.0440825
"queen mother"	0.0440041
Scripture	0.043981
calligrapher	0.0439557
Aristotle	0.0439444
"Confederate soldier"	0.0438462
"Mother Teresa"	0.0438081
icon	0.0437878
horseman	0.0433253
"giant panda"	0.0432603
"little girl"	0.0432511
Dunhuang	0.0432271
"Li Hongzhi"	0.0432252
Zhou	0.0431863
doll	0.0431637
monarch	0.0422745
porcelain	0.0422121
cow	0.0421987
mannequin	0.0421626
tablet	0.0420213
aristocrat	0.0418964
Dinosaur	0.0418641
cave	0.0418471
savior	0.0418371
nude	0.0416696
"oil painting"	0.0415906
kiln	0.0414529
rabbit	0.0413865
"Tibetan Buddhism"	0.0413685
fresco	0.0413534
composer	0.0412799
maiden	0.041264
"spiritual leader"	0.0412247
cellist	0.0410844
Farrakhan	0.0410804
lantern	0.0410239
sarcophagus	0.0409167
"St. Peter"	0.0408974
foal	0.0407702
herdsmen	0.0406685
Buddhism	0.0406183
"African elephant"	0.040438
Christianity	0.0403058
Dome	0.040258
landmark	0.0401916
painter	0.0400723
dancer	0.0400512
granary	0.0400176
))
(Buddhism (desc 14228.6) (sims
Christianity	0.191301
Taoism	0.179091
Islam	0.173517
Confucianism	0.164362
Catholicism	0.16394
Judaism	0.158918
Hinduism	0.152521
"Tibetan Buddhism"	0.145648
Qigong	0.129885
Protestantism	0.127719
religion	0.127428
Marxism	0.108254
"Roman Catholicism"	0.107955
Mormonism	0.106714
yoga	0.102526
"Falun Gong"	0.10039
Wicca	0.0843392
witchcraft	0.0819268
philosophy	0.0782203
science	0.0777615
mysticism	0.0775976
"martial art"	0.0747551
literature	0.0739843
spirituality	0.0737667
culture	0.0728727
"social science"	0.0720163
faith	0.0716419
architecture	0.0709726
shui	0.0697321
Journalism	0.0696789
Capitalism	0.0690482
economics	0.0662326
folklore	0.0650562
Confucius	0.0647752
"alternative medicine"	0.0645423
meditation	0.0640248
Zionism	0.063634
theology	0.0634547
civilization	0.0634351
psychology	0.0628431
nationalism	0.0628051
archaeology	0.0623529
Scientology	0.0619757
sect	0.0614107
"Falun Dafa"	0.0611868
Scripture	0.0608403
Bible	0.0599186
biology	0.0595785
"Mormon Church"	0.0594346
poetry	0.0587047
creationism	0.0581669
"folk art"	0.0578929
cult	0.0578454
theory	0.0577522
socialism	0.0575132
"Roman Catholic Church"	0.0574365
democracy	0.0574067
"medical science"	0.0573376
"fine art"	0.057241
Torah	0.0565334
Tibetan	0.0565019
"Catholic Church"	0.0562057
communism	0.0561322
linguistics	0.0560141
geology	0.0549805
mathematics	0.0548547
psychoanalysis	0.0548036
anthropology	0.0546534
superstition	0.0544625
acupuncture	0.0541029
humanity	0.053872
ideology	0.0535248
cuisine	0.053464
photography	0.053359
astronomy	0.0533427
teaching	0.0530045
gospel	0.0527522
"natural science"	0.0525406
physics	0.0520034
ecology	0.0519178
Marxism-Leninism	0.0511848
mythology	0.0507945
sociology	0.0506634
e-commerce	0.0505757
ethnicity	0.0505174
Koran	0.0504994
geography	0.0504438
ethic	0.0502975
nonviolence	0.0502826
genetics	0.0500828
orthodoxy	0.0499057
"liberal arts"	0.049714
"classical music"	0.0494771
abstinence	0.0491749
heritage	0.0490428
feminism	0.0488646
lamasery	0.048753
"economic theory"	0.0481848
Zen	0.0478768
"family planning"	0.0476508
"musical theater"	0.0470776
boxing	0.0468632
Buddhist	0.0466409
farming	0.0466194
conservatism	0.0464441
hegemonism	0.0462148
calligraphy	0.0459599
patriotism	0.0456071
pseudoscience	0.0456061
"Old Testament"	0.0455518
hip-hop	0.0455199
civics	0.0454367
cinema	0.0453805
"computer science"	0.0451191
activism	0.0449614
UFO	0.0449318
"Deng Xiaoping Theory"	0.0448112
fiction	0.0446465
gardening	0.0444928
"freedom of religion"	0.04448
entrepreneurship	0.0440785
dentistry	0.0440049
"ethnic group"	0.0439843
"popular music"	0.0439264
astrology	0.0438765
broadcasting	0.0438505
nursing	0.0438346
"Li Hongzhi"	0.0438034
cannibalism	0.0436615
"Russian Orthodox Church"	0.043642
evolution	0.0435664
Anatomy	0.0433038
archeology	0.0432388
"modern dance"	0.0431852
custom	0.0430835
math	0.0430037
"market economy"	0.0429707
"computer technology"	0.0427867
publishing	0.0427529
Bauhaus	0.0427349
Etiquette	0.0427295
morality	0.0426668
serfdom	0.0426387
jurisprudence	0.0424293
Jesus	0.0424107
"show business"	0.0423914
ritual	0.0423677
environmentalism	0.0423217
therapy	0.0422943
telemedicine	0.0422459
psychotherapy	0.0421255
cooking	0.0420976
Tibet	0.0419378
"religious belief"	0.0419282
"power politics"	0.0418521
"legal system"	0.0417694
Putonghua	0.0417385
"rock 'n' roll"	0.0416074
"pop music"	0.041263
Dunhuang	0.0412553
"higher education"	0.0412171
psychiatry	0.0412015
polygamy	0.0411682
algebra	0.0410669
"rule of law"	0.0410541
Impressionism	0.040776
"foreign policy"	0.0407702
Buddha	0.0406183
separatism	0.0405412
modernism	0.0405302
"Kennewick Man"	0.040429
Botany	0.0403424
doctrine	0.0402301
renaissance	0.0402033
priesthood	0.0401454
governance	0.0400743
diversity	0.0400011
))
(Buddhist (desc 9185.45) (sims
Hindu	0.195203
Moslem	0.156607
Sikh	0.148562
Mormon	0.136214
Taoist	0.135178
"Roman Catholic"	0.134411
christian	0.130557
Muslim	0.124228
agnostic	0.123773
Catholic	0.123016
Jewish	0.116468
Baptists	0.115398
atheist	0.114703
"Orthodox Christians"	0.112679
Orthodox	0.111604
Tibetans	0.110551
Jew	0.102987
Lutheran	0.099781
believer	0.0992859
pentecostal	0.0988111
Methodist	0.0963098
Anglican	0.090545
college-educated	0.0892128
"Sunni Muslims"	0.0891832
churchgoer	0.0886316
pagan	0.0868785
Zionist	0.085215
Protestant	0.0842918
non-Muslims	0.0839427
evangelicals	0.083395
"Israeli Arabs"	0.0789992
"religious leader"	0.0785425
lama	0.0771302
monk	0.0769076
Beijingers	0.0760358
"native American"	0.0755771
worshipper	0.0748855
illiterate	0.0735604
clergy	0.072883
Hispanic	0.0723415
"Orthodox Jews"	0.0723204
Arab-Americans	0.0716345
Copt	0.071618
follower	0.0706063
Presbyterian	0.0704928
adherent	0.069075
Tamil	0.069025
Arab	0.068966
clergymen	0.0686387
"Coptic Christians"	0.0666936
"Southern Baptists"	0.0661179
"ethnic group"	0.065541
Latino	0.0649778
Islamic	0.0646543
Episcopalian	0.0641947
theologian	0.0640729
Taiwanese	0.0640548
Croatians	0.06354
Asian-Americans	0.0633514
Buddha	0.0629792
vegetarian	0.0626803
pensioner	0.0624505
Baptist	0.0622384
lamasery	0.0621603
herdsmen	0.0621259
Croats	0.0619828
"African American"	0.0618874
Armenians	0.061625
African	0.0616146
African-American	0.0610088
"African Americans"	0.0606954
smoker	0.0605686
Ukrainians	0.0605562
"drug user"	0.0604967
"college student"	0.060448
devotee	0.0602653
"AIDS patient"	0.060066
Sinhalese	0.0598886
"university student"	0.0595758
learner	0.0594379
Haitian	0.0594282
centenarian	0.0593891
overweight	0.0592547
"drug addict"	0.0591845
pilgrim	0.058921
laborer	0.0583654
non-Jew	0.0579729
worshiper	0.0579409
"Christian church"	0.0574799
humanist	0.057448
Druse	0.0573785
congregants	0.0573334
"government officials"	0.0568675
Northerner	0.0565608
Turk	0.0560986
scholar	0.0560677
homeless	0.0560043
herder	0.0559487
dweller	0.0559073
practitioner	0.0559053
laymen	0.0555062
nun	0.0552884
Caucasian	0.0552515
diabetic	0.0551705
Gentile	0.0551566
Shiite	0.0550886
disciple	0.0546463
homosexual	0.0544251
"senior citizen"	0.0543616
holidaymaker	0.0543296
"Bosnian Croats"	0.0542654
orphan	0.0542303
"people of color"	0.054207
lactose	0.0540564
Malay	0.0538951
Liberian	0.0538258
monarchist	0.0534909
sufferer	0.0534164
"Southern Baptist"	0.0532968
"spiritual leader"	0.0531543
"political prisoner"	0.0527575
"Jehovah's Witnesses"	0.0527129
Gypsy	0.0527023
retiree	0.0525832
breadwinner	0.0522196
"factory worker"	0.0521439
feminist	0.0521225
statesmen	0.0520445
"Puerto Rican"	0.0518775
Mexican	0.0517907
migrant	0.0517584
parishioner	0.0517432
Southerner	0.0515722
HIV-positive	0.0512276
Asian-American	0.0511744
postgraduate	0.0511097
drinker	0.0509393
Cambodian	0.0509382
TRUANT	0.0509164
Kurds	0.050912
"Orthodox Jew"	0.0508104
Dominican	0.0507802
"church member"	0.0505288
denomination	0.0505213
"sales outlet"	0.0503061
laid-offs	0.0501824
"medical institution"	0.0501573
nomad	0.0499595
Ethiopian	0.0498593
Filipino	0.0498235
"sports fan"	0.0498028
thinker	0.0496912
Italian-Americans	0.0496794
priest	0.0496039
"black person"	0.0495317
sadist	0.0494168
Koreans	0.0493785
Honduran	0.0493405
"heroin addict"	0.0493324
Vietnamese	0.0493149
Nicaraguan	0.0491683
Nepalese	0.0491262
Judaism	0.0490871
Bosnians	0.0487924
hobbyist	0.0487456
Serbians	0.0487235
Hungarian	0.0487011
linguist	0.0486838
Iranian	0.0486152
rabbi	0.0486141
Bangladeshi	0.0484721
Alumni	0.0484555
Floridian	0.0483219
"union member"	0.0483215
dropout	0.0483112
Lithuanians	0.0482787
"walk of life"	0.0482207
Greeks	0.0481816
personage	0.0481341
schoolchildren	0.0480973
"test-tube baby"	0.0480255
Mozambican	0.0480175
"North Koreans"	0.0479539
anarchist	0.0479307
Chinese-Americans	0.0475199
nationality	0.0474984
emigrant	0.0474262
academician	0.0474053
Egyptian	0.047379
craftsmen	0.0473727
cadre	0.0473673
youngster	0.0473153
part-timer	0.0471394
Montenegrins	0.0471383
peasant	0.0469632
Islam	0.0469602
"important person"	0.0469536
Navajos	0.0468757
state-owned	0.0468067
Hinduism	0.0467172
))
(buddy (desc 48288.4) (sims
friend	0.131793
PAL	0.118802
"best friend"	0.092236
co-worker	0.0902756
brother	0.0888512
classmate	0.0822919
colleague	0.0809175
companion	0.0807095
acquaintance	0.0789709
guy	0.0781198
crony	0.0778379
roommate	0.0776927
teammate	0.0775784
girlfriend	0.0768404
dad	0.0750718
son	0.0749926
kid	0.0748942
cousin	0.0748412
chum	0.0738718
wife	0.07334
boy	0.071803
mom	0.0700964
sister	0.068968
mentor	0.0685217
boyfriend	0.0677251
husband	0.067396
associate	0.0673845
"family member"	0.067301
comrade	0.0668661
man	0.0664044
girl	0.0653658
uncle	0.0648242
father	0.0646377
folk	0.0645296
mother	0.0642329
Bos	0.06343
dog	0.0625934
confidant	0.0620208
daughter	0.0612473
relative	0.0612117
lover	0.0608218
someone	0.0599299
playmate	0.0598206
parent	0.0597898
schoolmate	0.0597117
partner	0.0594279
fan	0.0591756
"young man"	0.0589782
sibling	0.0587887
mate	0.0586939
spouse	0.0585986
aunt	0.058316
neighbor	0.0582904
Cop	0.0581107
idol	0.0577102
teacher	0.0574936
hero	0.0572259
stranger	0.0572213
CAT	0.0562428
assistant	0.0560993
Bobby	0.0556761
student	0.0550371
grandmother	0.0549663
client	0.0545944
dude	0.0540752
Joe	0.053809
aide	0.0537798
grandson	0.053478
actor	0.0532071
tom	0.0529063
jock	0.0523672
Lieutenant	0.0523115
boss	0.0520769
officer	0.0520215
fella	0.0518811
lawyer	0.0518573
lady	0.0517844
sweetheart	0.0514802
collaborator	0.0514599
guest	0.05124
golfer	0.0512358
"basketball player"	0.0511914
volunteer	0.0510158
patron	0.0507677
"football player"	0.0506644
supporter	0.0506027
fellow	0.0505241
"young woman"	0.0504967
jack	0.0504789
David	0.0504434
nephew	0.0502463
cohort	0.0502313
photographer	0.050171
grandchildren	0.0500485
caddie	0.0499935
fiancee	0.0499335
Chris	0.0497768
teen-ager	0.0497251
superstar	0.0496786
"old man"	0.0496206
person	0.0495548
counselor	0.0495547
pet	0.0494336
admirer	0.0493401
writer	0.0492869
Reader	0.0491911
reporter	0.0489978
Pete	0.0489371
"white man"	0.0488762
character	0.0487807
ally	0.0485105
mike	0.0483415
Attorney	0.048285
somebody	0.0482714
baby	0.0482351
bodyguard	0.0481798
"loved one"	0.0481712
band	0.0481218
mistress	0.0480829
"little girl"	0.048073
grandma	0.0480383
musician	0.0479895
exwife	0.0479557
Michael	0.0479552
Jim	0.0478261
trainer	0.0478105
confidante	0.0477505
instructor	0.0476447
waitress	0.0475913
accomplice	0.047355
journalist	0.0473318
coworker	0.0471772
"church member"	0.0471256
everyone	0.0469957
therapist	0.0469901
regular	0.0469336
Texan	0.0468875
owner	0.0465665
John	0.0465239
George	0.0464116
me	0.0463853
peer	0.0463311
youngster	0.0462625
niece	0.046254
greats	0.046109
inmate	0.0460582
grandparent	0.0459928
veteran	0.0459472
manager	0.0459372
ballplayer	0.0458924
horse	0.0458779
employee	0.045835
Robert	0.0458263
grandfather	0.0457567
adversary	0.0457163
Daddy	0.0455547
everybody	0.0454398
Larry	0.045404
artist	0.0452761
accountant	0.0452748
"black man"	0.0452157
senator	0.0451953
Steve	0.0451281
doctor	0.0451232
graduate	0.0450507
Charlie	0.0450221
entrepreneur	0.0449591
Richard	0.0449537
nurse	0.0449162
cheerleader	0.0448794
constituent	0.0448669
geek	0.0448449
teenager	0.0448164
handler	0.0447662
guard	0.0447069
Max	0.044634
survivor	0.0446213
robber	0.0445919
"role model"	0.0445808
subordinate	0.0445249
celebrity	0.0444481
idiot	0.044437
gangster	0.0444345
legend	0.0444312
vet	0.0443964
nanny	0.0443923
"police officer"	0.0443185
athlete	0.0442735
king	0.044161
"baseball player"	0.0441256
Ted	0.0441084
suspect	0.0440443
favorite	0.044038
brat	0.0439321
agent	0.0438931
follower	0.0438361
icon	0.0438139
politician	0.0437328
activist	0.0437314
performer	0.0436172
))
("Buddy Holly" (desc 2003.75) (sims
"Elvis Presley"	0.151243
"Chuck Berry"	0.142913
"Johnny Cash"	0.104515
"Little Richard"	0.09469
"Bob Dylan"	0.0811924
"Woody Guthrie"	0.0761577
Elvis	0.0752686
"Beach Boys"	0.0748808
Presley	0.073899
"Muddy Waters"	0.0726313
holly	0.0718061
"Led Zeppelin"	0.0699265
"Merle Haggard"	0.0679364
Hendrix	0.0666068
"John Lennon"	0.0640542
"Tito Puente"	0.0635353
Beatles	0.063118
"Van Morrison"	0.0583612
"George Jones"	0.0568429
"Gene Autry"	0.056095
"Tom Petty"	0.0560591
Dylan	0.0558168
"Sam Houston"	0.0553631
"Janis Joplin"	0.052736
"Tammy Wynette"	0.0522753
Monkees	0.0521057
Klemperer	0.050583
"Patsy Cline"	0.0500777
Puzo	0.0500093
"James Dean"	0.049574
"Duke Ellington"	0.0494979
"Mick Jagger"	0.0491241
"Alexander the Great"	0.0486917
Tilberis	0.0485716
crewmembers	0.0485651
"Hank Williams"	0.0479145
"Bear Bryant"	0.0474614
Stonehenge	0.0467814
"Karl Marx"	0.0467106
"Frank Sinatra"	0.0463512
Ehrlichman	0.0459352
Liberace	0.0458953
"Bob Marley"	0.0457966
"Rolling Stones"	0.0456995
"Benjamin Franklin"	0.0456915
"Salvador Dali"	0.0455008
Almodovar	0.0450299
Hazzard	0.0448548
lassie	0.0446433
Rushdie	0.0445212
"Tom Waits"	0.0444682
"Pink Floyd"	0.0442615
"Adam Petty"	0.0440838
Selena	0.0438072
Santangelo	0.0436702
"Bobby Phills"	0.0434076
"Bing Crosby"	0.043235
R.E.M	0.0430284
Springsteen	0.0428495
Grunow	0.0423756
"Elton John"	0.0419835
Burroughs	0.0417935
Harlequin	0.0417638
"Thomas Edison"	0.0415491
Mitterrand	0.0415243
"Sonny Bono"	0.0414924
"Edith Wharton"	0.0411756
Dahmer	0.0403881
"Bruce Springsteen"	0.0403828
"Josephine Baker"	0.0403202
"Jimi Hendrix"	0.0403015
"Al Capone"	0.0402938
Joplin	0.0400519
))
("Buddy Lazier" (desc 1550.85) (sims
"Scott Goodyear"	0.346341
"Jeff Ward"	0.332477
"Arie Luyendyk"	0.263203
"Kenny Brack"	0.261431
"Scott Sharp"	0.238441
"Eddie Cheever"	0.236713
"Sam Schmidt"	0.217808
"Greg Ray"	0.182649
"Billy Boat"	0.17938
"Bobby Rahal"	0.122649
"Al Unser Jr."	0.117899
"Winning Colors"	0.113698
"Dario Franchitti"	0.104853
"Bobby Labonte"	0.0981736
"Dale Earnhardt"	0.091256
"Answer Lively"	0.0900746
"Tony Stewart"	0.0889157
"A.J Foyt"	0.0873937
Unser	0.0866498
"Christian Fittipaldi"	0.0855992
Foyt	0.0833339
Brack	0.0798571
"Jeff Burton"	0.0795929
Luyendyk	0.0775156
"Joe Nemechek"	0.0771984
"Mario Andretti"	0.0747964
"Koji Ito"	0.0745803
"Terry Labonte"	0.0742974
"Jimmy Vasser"	0.0728676
"Ricky Craven"	0.0727268
"Scott Pruett"	0.0719776
"car race"	0.0709339
"Mark Martin"	0.0702837
"Isolde Kostner"	0.0696169
"Jubilo Iwata"	0.0694053
"Dale Jarrett"	0.068897
"Kenny Irwin"	0.0683507
"Bjarne Riis"	0.0683285
"Lee Trevino"	0.0680803
Tanui	0.0679442
"Regina Jacobs"	0.0677569
"Moses Tanui"	0.0667699
"Juan Montoya"	0.066204
"Miguel Indurain"	0.06567
Franchitti	0.0649252
grindstone	0.0648321
"Pavel Tonkov"	0.0644417
"Mike Skinner"	0.0632862
"Desert Hero"	0.0613948
Ferdinand	0.0607437
"Cash Run"	0.0603282
"Derrick Adkins"	0.0595754
Longo	0.0586682
"Richard Hatch"	0.0574218
"Danny Wuerffel"	0.0568517
"Dale Earnhardt Jr."	0.0566716
"Jorgen Persson"	0.0565217
"Sterling Marlin"	0.0562447
"Brian Watts"	0.0561601
"Seattle Slew"	0.0560581
Anees	0.0560017
"Forest Camp"	0.055511
"Nancy Lopez"	0.0552674
"Bill Elliott"	0.0549359
"Marco Pantani"	0.0549245
"Ward Burton"	0.0548247
"Robby Gordon"	0.0546652
"Michael Peca"	0.0543856
Schmidt	0.0537765
"Fu Mingxia"	0.0536153
"Svetlana Masterkova"	0.0534887
"Jeremy Mayfield"	0.0534042
Malek	0.0528225
"Elliott Sadler"	0.0524912
"Steve Park"	0.0523477
"Edie Falco"	0.0521469
"Kimberlite Pipe"	0.0519623
Daylami	0.0516805
"High Yield"	0.0507786
"Svetlana Khorkina"	0.0507668
"Ron Dayne"	0.0507426
"Laura Davies"	0.0503838
"Jeff King"	0.0497517
"Zoran Primorac"	0.049477
"Frank Nobilo"	0.0493825
Knapp	0.0493208
"Rocco Mediate"	0.0490725
"Greg Moore"	0.0487747
"Thunder Gulch"	0.0485552
"Bruce Fleisher"	0.0484715
"Beautiful Pleasure"	0.0482802
"Shanghai Shenhua"	0.0482122
"Jon Voight"	0.048145
"Lemon Drop Kid"	0.0480051
Artax	0.0479714
Geiger	0.0478363
"Worldly Manner"	0.0477126
"Tom Kite"	0.04761
"Alexei Urmanov"	0.0475957
"Michael Andretti"	0.0472941
V-@.	0.0472059
"Hu Weidong"	0.0471845
"Mark Brooks"	0.0471831
"Fernando Escartin"	0.046511
"Ken Schrader"	0.0464015
McAllister	0.046352
Goodyear	0.0459487
Labonte	0.0457677
Ullrich	0.0456867
"Charles Woodson"	0.0456855
Valhol	0.0452006
"Touch Gold"	0.0451126
"Juha Kankkunen"	0.0450558
Jalabert	0.0448813
"Free House"	0.0445675
"Geoffrey Bodine"	0.0445555
"Gong Zhichao"	0.0442474
"Dong Jiong"	0.044235
"Li Na"	0.0439869
Aamodt	0.0436183
"Ian Woosnam"	0.0436056
"Michael Weiss"	0.0434857
"Kim Taek Soo"	0.0434601
"Liu Guoliang"	0.0434026
"Rusty Wallace"	0.043402
"Steve Elkington"	0.0431648
"Richard Virenque"	0.0430137
"Nick Faldo"	0.0429768
Eliza	0.042827
"Adam Petty"	0.0426999
Howe	0.0425252
"Prime Timber"	0.0423711
"Puerto Madero"	0.0420751
"Karrie Webb"	0.0416943
"Awesome Again"	0.0416709
"Alex Zanardi"	0.0415404
Sainz	0.0414561
"Doak Walker"	0.0414553
"Jose Maria Olazabal"	0.0414268
"Gene Sarazen"	0.0413855
"Fatuma Roba"	0.0413258
"Wang Nan"	0.041304
"Dat Nguyen"	0.0412695
ATX	0.0410599
"Andre Braugher"	0.0409624
"River Keen"	0.0408908
"Lasse Kjus"	0.0407845
"Ma Lin"	0.0406748
"Anthony Johnson"	0.0406437
Adonis	0.0404478
"Abraham Olano"	0.0403999
Pantani	0.0402634
"Olin Browne"	0.0402253
"Liu Limin"	0.0401551
"Bjarte Engen Vik"	0.0400545
))
("Buddy MacKay" (desc 1215.44) (sims
"Don Siegelman"	0.319451
"Betsy McCaughey Ross"	0.271416
"Lawton Chiles"	0.249374
"Rick Perry"	0.232052
"Jim Florio"	0.223619
"Bob Bullock"	0.220063
"Kathleen Kennedy Townsend"	0.214251
"Gray Davis"	0.197429
"Fob James"	0.186068
"Garry Mauro"	0.181882
"Paul Patton"	0.176965
"Dan Lungren"	0.16799
"George McGovern"	0.165957
"Ann Richards"	0.157628
"Michael Dukakis"	0.154573
"Zell Miller"	0.152691
"Mario Cuomo"	0.152654
"Jim Hodges"	0.152468
"Jim Guy Tucker"	0.15228
"David Beasley"	0.151199
"Roy Barnes"	0.147441
"John Connally"	0.143678
"Ricardo Lagos"	0.140961
"Bob Taft"	0.140865
"Francisco Labastida Ochoa"	0.138202
"Jon Corzine"	0.138141
"Geraldine Ferraro"	0.137582
"Mel Carnahan"	0.136318
"Jerry Brown"	0.136108
"Mark Taylor"	0.135899
"William Weld"	0.134835
"Tom Vilsack"	0.131083
"Francisco Labastida"	0.127046
"Roy Romer"	0.126555
"Vicente Fox Quesada"	0.124782
"Parris Glendening"	0.124278
"Mike Huckabee"	0.122225
"Jim Hunt"	0.121262
"Jeanne Shaheen"	0.118299
"Gary Locke"	0.11719
"Jeb Bush"	0.113309
Siegelman	0.113075
"Prabowo Subianto"	0.110477
"Vojislav Kostunica"	0.109933
"Scott Harshbarger"	0.10953
"Jack Kemp"	0.109299
"Lowell Weicker"	0.109075
"Matt Fong"	0.108944
"Clint Reilly"	0.108082
"James Soong"	0.107907
"Christine Todd Whitman"	0.106319
"Evan Bayh"	0.106297
"David Duke"	0.105415
"Patrick Buchanan"	0.103833
"Paul Cellucci"	0.103245
"Alejandro Toledo"	0.103039
Shui-bian	0.102456
"Walter Mondale"	0.102332
"John Hagelin"	0.101865
"Barry Goldwater"	0.10122
"Gary Hart"	0.100606
"Lloyd Bentsen"	0.1005
"Lamar Alexander"	0.100082
"Bob Franks"	0.0995986
"Krishna Prasad Bhattarai"	0.0995059
"George Ryan"	0.0989232
"John Rowland"	0.0980953
"Biljana Plavsic"	0.0974105
"Steve Campbell"	0.0958662
Sutiyoso	0.0954856
Stoltenberg	0.0953544
"Edwin Edwards"	0.0951965
"Nelson Rockefeller"	0.0916899
Musgrove	0.0916729
"Johnny Paul Koroma"	0.0916061
"George Wallace"	0.0911727
"Cuauhtemoc Cardenas"	0.0902141
"Mike Leavitt"	0.0898665
"Charles Schumer"	0.0892124
"Gennady Zyuganov"	0.0889074
"Alexander Lebed"	0.0879808
"Adlai Stevenson"	0.0878436
"Vicente Fox"	0.0872139
"Guy Millner"	0.0865399
"Boutros Boutros Ghali"	0.0860491
"Tommy Thompson"	0.0857174
"Pete Wilson"	0.0842149
"Oladipo Diya"	0.0841498
"Shimon Peres"	0.082898
"Jesse Ventura"	0.082815
"Shaul Mofaz"	0.0816009
"Joseph I. Lieberman"	0.0812153
"Ralph Nader"	0.0803042
Voinovich	0.0789293
"Trevor Kidd"	0.0785905
"Mike Foster"	0.078273
"George E. Pataki"	0.0779248
"Dan Morales"	0.0778862
"Mike Miller"	0.0764524
"Joseph Lieberman"	0.076294
"Tom Campbell"	0.0761294
Katsav	0.0748085
"Xiong Guangkai"	0.0745593
Engler	0.074547
"Rick Lazio"	0.0729972
Kazhegeldin	0.0726463
Bhattarai	0.0725484
"Russell Feingold"	0.0713467
"Lee Hamilton"	0.0708966
"Joe Lieberman"	0.0708644
"John G. Rowland"	0.070741
"Eliot Spitzer"	0.0704875
"Hugo Chavez"	0.070025
MacKay	0.0698193
"Dennis Vacco"	0.0697777
"Gerhard Schroeder"	0.0696469
"Jim Gilmore"	0.0695827
"Alan Keyes"	0.0695785
"Barbara Boxer"	0.0692216
"Pedro Rossello"	0.0691759
"Frank Keating"	0.0690227
"Lokendra Bahadur Chand"	0.0672196
"George Voinovich"	0.0662429
"Oliver North"	0.0661433
"Paul Tsongas"	0.0660062
Edberg	0.065919
Councilman	0.065473
"Paul Keating"	0.064961
Lissouba	0.0648815
Ferraro	0.0648185
"Cyril Ramaphosa"	0.0646229
Nicol	0.0646125
"Marc Racicot"	0.0645612
"Anne Kremer"	0.0644768
"John Anderson"	0.0641813
"Dianne Feinstein"	0.064142
"Khin Nyunt"	0.0641397
"Peter Vallone"	0.0634769
"Bill Owens"	0.0627384
"Nicole Pratt"	0.0626611
"Eileen Collins"	0.0620342
Arens	0.0619788
"Curtis Brown"	0.0619774
"Sepp Blatter"	0.0618669
"Jane Hull"	0.0617943
Balaguer	0.0616286
"Chris Patten"	0.0615818
"Judith Wiesner"	0.0615802
Nateq-Nouri	0.0615107
"Cara Black"	0.0604513
"Vladimir Meciar"	0.0603217
"Charles Robb"	0.0601134
"John Edwards"	0.0600891
Cuomo	0.0597548
"American Chanda Rubin"	0.0596838
"Jimmy Carter"	0.0595999
"John Conyers"	0.0594902
Ribbeck	0.0594664
"Bill Graves"	0.0591159
Harshbarger	0.0590918
Lungren	0.0589384
"Yitzhak Mordechai"	0.0589324
"Lauch Faircloth"	0.0586915
"Rodney Eyles"	0.0585941
Bishara	0.0578574
Nacional	0.0574832
"Le Defi Francais"	0.0574661
"Fernando Meligeni"	0.0574044
Dewey	0.0573673
"Joseph Biden"	0.0572072
"Simon Archer"	0.0568663
"Gary Johnson"	0.0567262
"Christie Whitman"	0.0567081
"Patty Murray"	0.0563615
"Olusegun Obasanjo"	0.056241
"Mike Jackson"	0.056214
"lieutenant governor"	0.0558869
"McCaughey Ross"	0.0556933
Hoi-chang	0.0556826
"Frank Bruno"	0.0556258
"Bob Graham"	0.0552818
Constantine	0.0549756
"Anne-Gaelle Sidot"	0.054939
"Ramon Delgado"	0.0547563
"Alberto Berasategui"	0.0546955
COACHES	0.0544582
"John Huang"	0.0542524
"Deve Gowda"	0.0542149
Springbok	0.0542041
"Magdalena Maleeva"	0.0541257
"Robert Bork"	0.0541127
Hagelin	0.0537842
"American Todd Martin"	0.0536353
"Robert C. Byrd"	0.0536327
"Sergi Bruguera"	0.053604
"Sjeng Schalken"	0.0535843
"Alfonse D'Amato"	0.053559
"state senator"	0.0535106
"Mitt Romney"	0.0534462
"John Engler"	0.0531664
))
(budget (desc 195374) (sims
spending	0.184931
surplus	0.180785
revenue	0.177699
bill	0.166151
funding	0.163356
expenditure	0.16103
plan	0.157357
fund	0.156744
package	0.144428
debt	0.14434
program	0.143389
"tax cut"	0.141347
cost	0.141282
tax	0.137679
"operating budget"	0.136165
deficit	0.136049
investment	0.136035
salary	0.13492
legislation	0.134275
proposal	0.133919
policy	0.131697
income	0.130226
"budget deficit"	0.12908
allocation	0.127871
earnings	0.127385
profit	0.125064
payment	0.120863
loan	0.120611
measure	0.119
outlay	0.118868
reform	0.118693
sale	0.118574
saving	0.118456
money	0.117194
payroll	0.115333
appropriation	0.115291
project	0.114776
grant	0.114317
total	0.113822
contract	0.112823
financing	0.11194
"social security"	0.110858
fee	0.109533
amount	0.109452
agreement	0.108362
guideline	0.108028
asset	0.107803
subsidy	0.107133
increase	0.106932
agenda	0.10639
estimate	0.1062
initiative	0.105891
aid	0.105054
value	0.104971
GDP	0.104486
regulation	0.104153
"fiscal year"	0.103887
resource	0.103079
wage	0.102882
projection	0.102724
endowment	0.10261
"development plan"	0.102188
"price tag"	0.101944
economy	0.10183
law	0.10099
reserve	0.100789
strategy	0.100683
system	0.100399
price	0.100298
education	0.100086
settlement	0.0996171
medicare	0.0994373
"market value"	0.0993364
export	0.0991328
deal	0.0988379
growth	0.098764
contribution	0.0983345
"tax bill"	0.0976541
coffer	0.097631
"trust fund"	0.0971659
schedule	0.0970863
"tax revenue"	0.0970592
sum	0.0967787
portfolio	0.0967631
production	0.0963734
pension	0.0963195
expense	0.0962535
finance	0.0955142
reduction	0.095477
"trade deficit"	0.0953015
"economic policy"	0.0951613
constitution	0.0949942
operation	0.0947028
Treaty	0.0943616
government	0.0941439
"gross domestic product"	0.0941423
resolution	0.0938268
figure	0.0936845
donation	0.0932772
amendment	0.093136
rate	0.0922007
capitalization	0.0919786
"salary cap"	0.0918926
"net income"	0.0918132
trade	0.091461
assistance	0.0913532
standard	0.091322
sector	0.0912886
market	0.0911587
target	0.0911265
quota	0.0909696
effort	0.0899027
population	0.0898956
cut	0.0897646
level	0.0896109
number	0.0890637
development	0.0888042
credit	0.0882236
accord	0.0881322
document	0.0874931
priority	0.0870755
"work force"	0.0870257
output	0.0869895
"income tax"	0.086938
draft	0.0869218
dollar	0.0868389
blueprint	0.086815
account	0.0867019
"budget cut"	0.086522
forecast	0.0864949
"spending cut"	0.0864679
report	0.0863734
framework	0.0863314
issue	0.0862372
treasury	0.0859012
management	0.0858882
requirement	0.0858448
volume	0.0857771
business	0.0856981
limit	0.0856832
decision	0.0855943
"foreign policy"	0.0855104
bonus	0.0852793
rule	0.0851638
security	0.0849565
bid	0.0848028
bailout	0.0846927
expansion	0.084457
provision	0.0843891
"net profit"	0.084337
supply	0.0841978
campaign	0.0840258
list	0.0837889
structure	0.0832214
shortfall	0.0831409
state	0.0831293
demand	0.0830532
pay	0.0830426
"minimum wage"	0.0829146
benefit	0.0826084
election	0.0825864
"trade surplus"	0.0825324
change	0.0825001
procedure	0.0824644
import	0.0823127
compensation	0.0822886
purchase	0.0821025
"interest rate"	0.082006
request	0.0819354
code	0.0817336
"growth rate"	0.081605
scheme	0.081558
"tax collection"	0.0813537
"bond issue"	0.0813318
"gross national product"	0.0812711
"tax increase"	0.0810575
research	0.0808247
"health care"	0.0807986
recommendation	0.0807287
inventory	0.080484
construction	0.0804128
"inflation rate"	0.0799624
overhaul	0.0798825
activity	0.079531
support	0.0794079
process	0.079401
action	0.0792997
industry	0.0792965
worth	0.0790147
employment	0.0789352
"trade policy"	0.0788767
inflation	0.0787048
cap	0.0786673
tariff	0.0785715
offer	0.0785419
commitment	0.0784602
record	0.0784251
charter	0.0784232
borrowing	0.0782512
receipt	0.0782346
))
("budget cut" (desc 13589.4) (sims
"spending cut"	0.274917
cutback	0.206004
"tax increase"	0.157774
"pay cut"	0.131766
"job cut"	0.125355
belt-tightening	0.124949
"tax cut"	0.123815
devaluation	0.119481
"wage increase"	0.118791
"tax hike"	0.11635
reduction	0.114217
depreciation	0.112081
"cost cutting"	0.111735
"rate increase"	0.110819
hike	0.109648
layoff	0.108856
"policy change"	0.107723
closings	0.107685
"price cut"	0.105413
"price increase"	0.104915
retrenchment	0.104218
austerity	0.103512
deregulation	0.102533
shortfall	0.102387
downsizing	0.101041
"pay raise"	0.100068
"budget deficit"	0.0971931
reorganization	0.0969371
overhaul	0.0955317
"rate hike"	0.0950821
reform	0.0931536
"management change"	0.0931049
spending	0.0926572
"tax reduction"	0.0922706
downturn	0.0914206
appropriation	0.0910823
"tax break"	0.0907969
shutdown	0.0905459
"rate cut"	0.090521
"asset sale"	0.0890789
"interest rate increase"	0.0888303
"financial loss"	0.0886783
sanction	0.0884869
funding	0.0884066
divestitures	0.0880614
consolidation	0.0876676
bailout	0.0871379
subsidy	0.0868427
unemployment	0.0866217
budget	0.086522
Privatization	0.0864697
shortage	0.0850949
tax	0.084326
"wage freeze"	0.0841225
"tax incentive"	0.0840121
slowdown	0.0837978
closure	0.083622
restriction	0.0832199
recession	0.082933
contraction	0.0827975
"plant closing"	0.0827358
legislation	0.0823929
turmoil	0.0823417
upheaval	0.0823091
adjustment	0.0821231
"tax credit"	0.0812381
instability	0.0806927
cancellation	0.0806165
revision	0.0804239
expansion	0.0797116
drought	0.0778001
takeover	0.0772874
"name change"	0.0768975
"consumption tax"	0.0766322
crunch	0.0766163
"economic crisis"	0.0764718
crises	0.076295
defection	0.0761358
rationing	0.0753952
overproduction	0.0752622
hardship	0.075238
Tightening	0.0752225
withdrawal	0.0746765
"cash crunch"	0.074435
restructuring	0.0739316
merger	0.073338
turbulence	0.0732316
"trade bill"	0.0731029
"reorganization plan"	0.0730041
erosion	0.0724081
inflation	0.0724046
Liberalization	0.0724036
allocation	0.0723235
shake-up	0.0720071
globalization	0.0718676
oversupply	0.0717364
"tax change"	0.0716848
amendment	0.0716798
initiative	0.0714779
package	0.0712644
embargo	0.0712274
intervention	0.0710824
breakup	0.0710743
fluctuation	0.0709763
"gun control"	0.0708122
bankruptcy	0.0706518
"capital investments"	0.0706332
"accounting problem"	0.0705507
buyout	0.0704618
improvement	0.0703843
"military action"	0.0703472
surplus	0.0702993
deterioration	0.0700404
slump	0.0698502
removal	0.0696581
"compromise plan"	0.0695034
realignment	0.0693905
mismanagement	0.0693341
financing	0.0691005
write-off	0.0688933
"cost overrun"	0.0688922
debt	0.0685626
deployment	0.0685357
"sales tax"	0.0683346
regulation	0.0683215
"tax bill"	0.0682415
saving	0.0680116
unrest	0.0679342
"bond issue"	0.0678791
deficit	0.0678506
Dismissal	0.0677514
enlargement	0.067605
"income tax"	0.0675834
"oil price"	0.0673778
crackdown	0.0673318
"work stoppage"	0.0673112
"management shakeup"	0.067246
"economic policy"	0.0672242
penalty	0.0672017
moratorium	0.0671293
deforestation	0.0669872
readjustment	0.0669755
"rising prices"	0.0669515
voucher	0.0669478
concession	0.0669049
deflation	0.0668755
"soil erosion"	0.0667995
outlay	0.0667729
repeal	0.0666241
shakeup	0.0666208
sell-offs	0.0666075
postponement	0.0665135
expenditure	0.0665031
tariff	0.0664816
blackout	0.0660817
buyback	0.0659761
incentive	0.0658349
"Bill of Rights"	0.065831
"cash payment"	0.0657016
volatility	0.0656223
famine	0.0656089
dollarization	0.0655273
sickout	0.0654937
influx	0.065452
pullout	0.0651987
stagnation	0.0651981
"estate tax"	0.065101
censure	0.0650273
"power failure"	0.0650238
"deficit reduction"	0.0647549
"legal action"	0.0646717
Correction	0.0645309
easing	0.0643869
severance	0.0643086
"crop failure"	0.0642715
stayaway	0.0642213
"rate rise"	0.0641658
"interest rate"	0.0641568
boycott	0.0640761
borrowing	0.0640564
"land reform"	0.0638909
renewal	0.0636174
restructurings	0.0635689
payment	0.063361
shakeout	0.0633506
calamity	0.0630304
overcapacity	0.063015
"bond offering"	0.0629925
"Proposition @@@"	0.062954
upsurge	0.0628876
degradation	0.0628726
"price competition"	0.0628071
uncertainty	0.0626215
reshuffle	0.0626078
mega-mergers	0.0626062
"air attack"	0.0625986
elimination	0.0625415
hyperinflation	0.06226
spraying	0.0621362
disruption	0.0619761
))
("budget debate" (desc 1021.97) (sims
"spelling bee"	0.0968794
"military drill"	0.0903161
polling	0.0891337
"day of reckoning"	0.0839074
"Lunar New Year"	0.0795631
AMM	0.0792108
"body politic"	0.0758786
"Consumer Electronics Show"	0.0731306
"academic year"	0.0727858
"World AIDS Day"	0.0716952
"rainy season"	0.0714626
maneuvering	0.0709469
"work stoppage"	0.0706206
"Bull Run"	0.0697528
spacewalk	0.0692156
"tax income"	0.0686289
"football season"	0.0681216
"growing season"	0.0667386
"labor dispute"	0.0656806
"baseball season"	0.0632862
"basketball season"	0.0628356
"Grammy Awards"	0.0623323
"police office"	0.0622676
Reauthorization	0.0621245
"dry season"	0.0618507
"London Marathon"	0.0615639
spraying	0.0611536
Hajj	0.0608641
"income tax return"	0.0601406
manoeuvre	0.0599306
binge	0.0592268
imbroglio	0.0588917
monsoon	0.0586894
confab	0.0582665
improv	0.0579953
harder	0.0579154
"district line"	0.0577784
"shell game"	0.0573992
Freaknik	0.0570158
headcount	0.0569861
"war game"	0.0567771
enumeration	0.0562341
"Cannes Film Festival"	0.0559333
"field trial"	0.0546411
directors-general	0.0544016
lovefest	0.054325
"council meeting"	0.0537622
"ASEAN Ministerial Meeting"	0.0537392
inquest	0.053185
"waiting game"	0.0531038
cataclysm	0.0528819
exhumation	0.0525441
debriefing	0.0524834
sickout	0.052456
"school year"	0.0523213
fieldwork	0.0522324
bullishness	0.0520899
"line of questioning"	0.0516683
"tax liability"	0.0513717
"New York Film Festival"	0.0512495
"biological clock"	0.0511555
telethon	0.0510084
pro-am	0.0508894
proceedings	0.050852
"intelligence operation"	0.0506435
flareup	0.0504977
wrangling	0.0498279
mixup	0.0495212
"freshman class"	0.0494964
"legal proceeding"	0.0494523
Oktoberfest	0.0490029
"senior class"	0.0489517
firefight	0.0487596
"committee meeting"	0.0485195
"marketing effort"	0.0484958
"enforcement action"	0.0484457
"marketing campaign"	0.0483386
damnation	0.0483298
cross-examination	0.0481452
fact-finding	0.0481337
"Labor office"	0.0479621
"bond issue"	0.0478695
tug-of-war	0.0477127
"market expectation"	0.047553
swearing-in	0.0473795
"ice age"	0.0473718
"nuclear explosion"	0.0473517
Win@@	0.0473096
"dog bite"	0.0472376
"Special Session"	0.0472173
coronation	0.0471594
"hunting season"	0.0470886
eavesdropper	0.0467724
"Cannes International Film Festival"	0.0466981
"market correction"	0.046629
"expansion plan"	0.0465812
counting	0.0463483
"Occupational Safety and Health Administration"	0.0462742
rollovers	0.0462702
shakeout	0.0462623
bargainer	0.0461966
"exhibition season"	0.0461793
spillage	0.0461663
"New York City Marathon"	0.0461285
"rate of exchange"	0.0461176
"X Games"	0.0460961
"Census @@@@"	0.0459905
"head count"	0.0459744
"gasoline tax"	0.0458765
"Telecommunications Act"	0.0457907
sport-utilities	0.0457876
"fire drill"	0.0456488
horse-trading	0.0456363
beatification	0.0455669
sentencing	0.0455423
"proxy fight"	0.0455312
"blood feud"	0.0454272
"health check"	0.0453949
hegemonism	0.0449452
changeover	0.0448364
"connective tissue"	0.0445766
roadshow	0.0445357
"World Athletics Championships"	0.0443426
"meteor shower"	0.0442126
by-elections	0.044161
longer	0.0440314
"sexual activity"	0.0439604
"fishing license"	0.0439239
incarceration	0.0438207
hostage-taking	0.0438008
"debt payment"	0.0437746
"South Summit"	0.0437447
"Opium War"	0.0436394
"Thomson CSF"	0.0435632
stoppage	0.0435425
enquiry	0.0433761
examinees	0.0433582
"inheritance tax"	0.0433355
"ad blitz"	0.0432935
"electronics industry"	0.0432543
nullification	0.0429925
Internet@	0.042969
"Pepsi @@@"	0.0428312
"Emmy Awards"	0.0426232
guessing	0.0425806
workday	0.0424891
"World Women"	0.0422876
treehouse	0.0422753
"chemical reaction"	0.042259
"boat race"	0.0422534
bloodbath	0.0421826
dustup	0.0420728
"Subway Series"	0.0420172
walk-through	0.0419608
grilling	0.0419394
"Department of Labor"	0.0418508
"Solheim Cup"	0.0418149
Tevanian	0.041688
Gillom	0.041632
JAT	0.0415488
"Consumer Product Safety Commission"	0.0415433
"custody battle"	0.0414823
"Microsoft Office"	0.0414565
IGC	0.0413921
two-a-days	0.0413868
inundation	0.0413255
"arms deal"	0.0413071
manhunt	0.0411596
overpayment	0.0411277
"Consultative Group"	0.0411251
Maharaj	0.0410931
tabulation	0.0410817
"World Health Assembly"	0.0410738
"space walk"	0.0409241
mega-mergers	0.0409156
misjudgments	0.0407831
"Lincoln Center Festival"	0.0406961
"European Champions Cup"	0.0405905
finger-pointing	0.0405633
"estate tax"	0.0403767
nine-day	0.0403518
"Nissan Open"	0.0403407
test-firing	0.0402443
heatwave	0.0401334
))
("budget deficit" (desc 28412.9) (sims
deficit	0.295444
"trade deficit"	0.271874
"inflation rate"	0.23527
"trade surplus"	0.199602
"unemployment rate"	0.19712
surplus	0.193957
inflation	0.188886
"growth rate"	0.186703
unemployment	0.184273
expenditure	0.181611
"gross domestic product"	0.180985
GDP	0.179394
debt	0.171986
shortfall	0.150414
"gross national product"	0.146983
"interest rate"	0.140283
revenue	0.139423
"money supply"	0.139242
growth	0.135848
spending	0.135289
outlay	0.133513
"net profit"	0.133484
"crime rate"	0.133155
"rate of inflation"	0.130443
output	0.130305
budget	0.12908
borrowing	0.127096
export	0.126706
"oil price"	0.126384
inflow	0.125836
import	0.12408
"tax revenue"	0.123882
joblessness	0.123195
"defense budget"	0.123187
"tax rate"	0.122681
"pretax profit"	0.120331
"birth rate"	0.119473
"earning per share"	0.118112
"consumer price index"	0.117896
earnings	0.11785
"labor cost"	0.117432
imbalance	0.117223
"net income"	0.116827
"poverty rate"	0.115982
GNP	0.115249
reserve	0.114118
"bank rate"	0.113928
rate	0.113284
income	0.113252
consumption	0.112176
cost	0.111857
"balance of payments"	0.111796
contraction	0.111563
"funds rate"	0.111424
"discount rate"	0.111405
capitalization	0.11094
"profit margin"	0.110937
"earnings growth"	0.110822
"capital expenditure"	0.110279
"production cost"	0.110163
"tax collection"	0.109676
"trade balance"	0.109369
profit	0.108577
"oil production"	0.106674
ratio	0.106638
"rate of growth"	0.105949
"mortgage rate"	0.105287
instability	0.105152
outflow	0.105111
"retail price index"	0.105082
emission	0.103919
"current account"	0.103807
inventory	0.103151
"retail sale"	0.102651
deflation	0.102337
recession	0.102152
"revenue growth"	0.101874
payroll	0.10117
slowdown	0.100646
"price increase"	0.100531
investment	0.100378
yield	0.100281
"cost of living"	0.100259
burden	0.0999206
volume	0.0996582
backlog	0.0995868
shortage	0.09943
"mortality rate"	0.0993264
"operating cost"	0.0982441
"occupancy rate"	0.0979517
"budget cut"	0.0971931
enrollment	0.0970888
"interest payment"	0.0963088
stockpile	0.0961252
"financial loss"	0.095791
loss	0.0949629
"vehicle sale"	0.0948861
caseloads	0.0948644
"medicare payment"	0.0947094
"wage increase"	0.0944319
"personal income"	0.0943309
turnover	0.0938524
price	0.093806
"steel production"	0.0931884
value	0.092862
decline	0.0927924
tax	0.0924487
economy	0.0924273
NPLs	0.092362
poverty	0.0922757
inequality	0.0921789
"exchange rate"	0.0920213
"debt service"	0.0919805
"elephant population"	0.0917468
devaluation	0.0914641
depreciation	0.0913002
production	0.0909471
"voter turnout"	0.0906514
"selling price"	0.0904234
"insurance premium"	0.0901987
saving	0.0900785
"debt load"	0.0899183
gap	0.0898969
subsidy	0.0896815
sale	0.0895631
decrease	0.0895272
allocation	0.0892098
"operating expenses"	0.0892023
harvest	0.0890556
"bad debt"	0.0886135
turnout	0.0883186
"gas price"	0.0879679
"income tax"	0.0878314
projection	0.0876967
tariff	0.0876249
mortality	0.0874438
"tax bill"	0.087268
"asset value"	0.0871876
reduction	0.0869029
volatility	0.0868079
"market value"	0.086795
oversupply	0.0864798
caseload	0.0864442
"death rate"	0.0864062
incidence	0.0863591
lending	0.0860711
expense	0.0859423
"retail price"	0.0859162
acreage	0.085688
wage	0.085487
"price tag"	0.0851829
"market share"	0.085043
"eight percent"	0.0849219
hyperinflation	0.084801
employment	0.0847143
demand	0.0846883
productivity	0.0842687
receipt	0.0841781
hike	0.0840148
population	0.0838283
"work force"	0.0838136
"life expectancy"	0.0835975
workforce	0.0835241
profitability	0.0834918
salary	0.0833238
indebtedness	0.0828336
"tax cut"	0.0828283
payment	0.0822553
servicing	0.082092
"consumer demand"	0.0820737
"stock market"	0.0818279
ridership	0.0818207
"economic crisis"	0.0817378
bankruptcy	0.0815451
"fertility rate"	0.0814627
liability	0.0813509
loan	0.0812955
"consumption tax"	0.0811966
"export sale"	0.081142
"three percent"	0.0809882
"tax income"	0.0809478
disparity	0.0800079
amount	0.079748
remittance	0.0796818
"air pollution"	0.0792952
"operating budget"	0.0792345
level	0.0791309
pension	0.0785744
deposit	0.0779451
CPI	0.0778231
sales	0.0777562
"tax increase"	0.0776217
"turnover rate"	0.077469
expansion	0.0774347
"import duty"	0.0772679
margin	0.0772124
valuation	0.0770816
flow	0.0767334
quota	0.0767166
"estate tax"	0.0766267
))
("Budi Santoso" (desc 1923.62) (sims
"Taufik Hidayat"	0.408264
Hendrawan	0.364716
"Joko Suprianto"	0.347997
"Heryanto Arbi"	0.319838
"Chen Gang"	0.269813
"Mia Audina"	0.268552
"Ji Xinpeng"	0.241986
"Susi Susanti"	0.238578
"Xia Xuanze"	0.237129
"Gong Ruina"	0.23367
"Peter Rasmussen"	0.232584
"Ong Ewe Hock"	0.231584
"Dai Yun"	0.228171
"Rashid Sidek"	0.220751
"Camilla Martin"	0.210551
"Gong Zhichao"	0.202329
"Rodney Eyles"	0.199133
"Peter Nicol"	0.192899
"Yayuk Basuki"	0.192819
"Zhang Ning"	0.190617
"Peter Gade Christensen"	0.186159
"Dong Jiong"	0.184549
"Jorgen Persson"	0.182228
"Ye Zhaoying"	0.180992
"Simon Archer"	0.180387
"Fung Permadi"	0.173288
"Wang Chen"	0.17133
"Paul Johnson"	0.158546
"Kong Linghui"	0.155325
"Thomas Johansson"	0.153514
"Poul-Erik Hoyer-Larsen"	0.152805
"Partizan Belgrade"	0.147879
"Yang Ying"	0.145209
"Wang Liqin"	0.145071
"Hernan Gumy"	0.144573
"Qin Yiyuan"	0.142867
"Renzo Furlan"	0.135007
"Zoran Primorac"	0.132596
"Chen Jing"	0.131481
"Asa Carlsson"	0.129185
"Liu Guoliang"	0.128291
"Ricky Subagja"	0.127512
"Magdalena Maleeva"	0.12671
"Vladimir Samsonov"	0.125908
"Magui Serna"	0.125551
"Alberto Berasategui"	0.123582
"Naoko Sawamatsu"	0.123226
"Mariano Zabaleta"	0.122743
"Carlos Costa"	0.122525
"Li Ju"	0.120348
"Andrei Pavel"	0.119944
"Sarah Pitkowski"	0.119786
"Ma Lin"	0.119482
"Alberto Costa"	0.118112
"Mary Joe Fernandez"	0.117709
"Nathalie Dechy"	0.117255
"Judith Wiesner"	0.116848
"Christian Ruud"	0.114941
Berasategui	0.114906
"Jason Stoltenberg"	0.114401
Taufik	0.114028
"Li Fang"	0.113871
"Wang Nan"	0.113825
"Adrian Voinea"	0.113785
"Jan-Ove Waldner"	0.113549
Likhovtseva	0.113213
"Amelie Mauresmo"	0.112453
"Corina Morariu"	0.112364
"Rainer Schuttler"	0.11226
"Ruxandra Dragomir"	0.112153
Starzz	0.111774
"Albert Portas"	0.111684
"Xavier Malisse"	0.11107
"Kimiko Date"	0.11093
"Magnus Gustafsson"	0.110825
"Chanda Rubin"	0.110796
"Richard Fromberg"	0.110611
"Francisco Clavet"	0.110484
"Barbara Paulus"	0.110296
"Karim Alami"	0.109814
"Franco Squillari"	0.109781
"Sergi Bruguera"	0.109291
"Pat Rafter"	0.109259
Halard-Decugis	0.108572
"Jerome Golmard"	0.107439
"Fernando Meligeni"	0.106826
"Wang Hui"	0.1067
"Anke Huber"	0.106555
"Arnaud Boetsch"	0.106242
"Joannette Kruger"	0.105845
"Sebastien Grosjean"	0.105612
"Roger Federer"	0.105585
"Fabrice Santoro"	0.104846
"Nathalie Tauziat"	0.10362
"Hicham Arazi"	0.103587
"Vincent Spadea"	0.103208
"Florencia Labat"	0.102789
"American Pete Sampras"	0.102346
"Michael Tebbutt"	0.102112
"Michael Chang"	0.102036
RedHawks	0.101992
"Marat Safin"	0.101941
"Tatiana Panova"	0.101926
Edberg	0.101408
"Arnaud Di Pasquale"	0.101329
"Javier Sanchez"	0.101079
"Yu Zhuocheng"	0.100751
"Nicolas Kiefer"	0.100334
"Kenneth Carlsen"	0.100313
"Tara Snyder"	0.100192
"Andrei Medvedev"	0.100017
"Amy Frazier"	0.0994767
"Mariano Puerta"	0.0991712
"Arantxa Sanchez Vicario"	0.0991507
"Elena Likhovtseva"	0.0990166
"Sargis Sargsian"	0.0989301
"Filip Dewulf"	0.098617
"Arnaud Clement"	0.098573
"Mahesh Bhupathi"	0.0984584
"Nicolas Escude"	0.0983765
"Ai Sugiyama"	0.0982754
"Kim Taek Soo"	0.0981955
"Gianluca Pozzi"	0.0977573
"Kinder Bologna"	0.0977176
"Mikael Tillstrom"	0.0975712
"Scott Draper"	0.0974213
"Younes El Aynaoui"	0.0970764
"Chinese Taipei"	0.096925
"Michael Stich"	0.0964444
"Mark Knowles"	0.0962487
"Wang Tao"	0.0956458
"Anne Kremer"	0.0956114
"Felix Mantilla"	0.0955801
"Davide Sanguinetti"	0.095288
"Silvia Farina"	0.0949946
"Liu Yong"	0.0949723
"Andrea Gaudenzi"	0.0949589
"Galo Blanco"	0.0946359
"Anne-Gaelle Sidot"	0.0944891
"Sandrine Testud"	0.093937
"Kristie Boogert"	0.0938419
"Patty Schnyder"	0.0936619
"Stefan Edberg"	0.093653
"Jim Courier"	0.0936427
"Arantxa Sanchez-Vicario"	0.0932182
"Andreas Vinciguerra"	0.0931538
"Jeff Tarango"	0.0931482
"Brenda Schultz-McCarthy"	0.092927
"Andrew Ilie"	0.0929033
"David Prinosil"	0.0928161
"Wang Yan"	0.0922963
"Nicolas Lapentti"	0.0921603
"Cedric Pioline"	0.0921347
"Sabine Appelmans"	0.0920036
"Irina Spirlea"	0.091924
Stoltenberg	0.0919073
Nicol	0.0917854
"Ramon Delgado"	0.0917113
"Lisa Raymond"	0.0916486
"Alex Corretja"	0.0912429
Hawkeyes	0.090894
"MaliVai Washington"	0.0907127
"Cara Black"	0.0906506
"Juan Antonio Marin"	0.0906406
"Tommy Haas"	0.0905415
"Elena Dementieva"	0.0901669
"Mark Williams"	0.0899203
"Scarlet Knights"	0.0898897
"Julie Halard-Decugis"	0.0897694
"Natasha Zvereva"	0.0896805
"Jana Novotna"	0.0888058
"Jonathan Stark"	0.0886405
"Wayne Arthurs"	0.0886199
"Dominique Van Roost"	0.0885794
Santoro	0.0885555
"St. Bonaventure"	0.0884091
"Bohdan Ulihrach"	0.08834
"Marcos Ondruska"	0.087897
"Kimberly Po"	0.0878688
"Goran Ivanisevic"	0.087375
"Jacco Eltingh"	0.087281
"Mark Philippoussis"	0.0872462
"Thomas Muster"	0.0865736
"Neville Godwin"	0.0863703
"Karina Habsudova"	0.0859729
"Magnus Norman"	0.0857343
"Sjeng Schalken"	0.085714
"Mary Pierce"	0.0856771
"Iva Majoli"	0.0856542
"Tamarine Tanasugarn"	0.0856255
Mauresmo	0.0855371
"Brett Steven"	0.0849975
"Greg Rusedski"	0.0849355
"Todd Martin"	0.0846818
"Richard Krajicek"	0.0842886
"Leander Paes"	0.0842114
Mantilla	0.0841596
"Grant Stafford"	0.0841053
Waldner	0.0840036
"Jennifer Capriati"	0.0838859
))
(Budroyale (desc 3200.13) (sims
"River Keen"	0.250784
"Puerto Madero"	0.183102
"Lemon Drop Kid"	0.18021
Malek	0.1795
"Ecton Park"	0.133531
"Free House"	0.130976
"Prime Timber"	0.128279
Menifee	0.124231
gelding	0.120495
"Silver Charm"	0.118548
"Cat Thief"	0.118535
"Worldly Manner"	0.118534
"Answer Lively"	0.116518
Behrens	0.110222
charismatic	0.10995
"Old Trieste"	0.109699
"Victory Gallop"	0.109379
"Excellent Meeting"	0.108476
"Red Bullet"	0.107176
Valhol	0.103012
"Favorite Trick"	0.0994853
"Cash Run"	0.0993584
Artax	0.0981564
"Desert Hero"	0.0940218
Surfside	0.0920422
Anees	0.0918777
"Running Stag"	0.0915166
vicar	0.0900412
"Real Quiet"	0.088497
"Skip Away"	0.0870088
"Deon Hemmings"	0.0866052
"Beautiful Pleasure"	0.084891
"Kimberlite Pipe"	0.0842692
Chilukki	0.0830369
Daylami	0.0800283
"Jean-Philippe Gatien"	0.0790066
"Banshee Breeze"	0.0788203
"Michael Schumacher"	0.0787072
Adonis	0.0784859
"Moses Tanui"	0.0783239
"Fusaichi Pegasus"	0.0780597
Silverbulletday	0.0757473
Makinen	0.074321
"High Yield"	0.0733452
"Kent Desormeaux"	0.0727545
Biffle	0.0726851
"Penny Heyns"	0.0725997
"Brooke Bennett"	0.0719959
Susanti	0.0695902
colt	0.0693539
Longo	0.0692583
gentlemen	0.0691735
"Fatuma Roba"	0.0678031
"Eddie Cheever"	0.0672011
"Heryanto Arbi"	0.0671329
Wondertross	0.0663373
"Peter Rasmussen"	0.066215
"Awesome Again"	0.0660914
"Claudia Poll"	0.0660127
"Rodney Eyles"	0.065876
"Forest Camp"	0.0650177
"American Pete Sampras"	0.0647854
Butyrskaya	0.0647637
"Hugh Hefner"	0.0646987
"Derrick Adkins"	0.0642251
Berasategui	0.0641891
"Peter Nicol"	0.0641882
"Wang Yifu"	0.0639334
"Maria Butyrskaya"	0.0639224
"Stephen Got Even"	0.0637787
Szabo	0.0631755
"Jansher Khan"	0.0627917
"Max Biaggi"	0.0626534
"Colin McRae"	0.0625094
"John Henry"	0.0623918
"Michael Von Gruenigen"	0.0623152
"Touch Gold"	0.0622934
Obilic	0.0622535
"Paul Tergat"	0.0620796
"Gary Stevens"	0.0620794
"Tom Dolan"	0.0618311
"Ivan Pedroso"	0.0613615
"Elena Berezhnaya"	0.0606096
"Taufik Hidayat"	0.0605268
"Ge Fei"	0.0601624
"Bayi Rockets"	0.060129
"Le Jingyi"	0.060126
"Susie O'Neill"	0.0600905
aptitude	0.0600524
Bayi	0.0599307
"Ato Boldon"	0.0596706
"Chen Lu"	0.0594597
"Felix Savon"	0.0593823
"Hale Irwin"	0.0593491
"Irina Privalova"	0.0591999
Baffert	0.0591739
"Fu Mingxia"	0.0591602
"Johan Museeuw"	0.0590605
Pantani	0.0587017
filly	0.0580755
"Jacques Villeneuve"	0.0579977
"Fiona May"	0.0579882
Nacional	0.0579514
Klim	0.0579509
"Mia Audina"	0.0578279
"Noureddine Morceli"	0.0578061
Morceli	0.0572922
"Kieren Perkins"	0.0572088
Cipollini	0.0571047
"Svetlana Khorkina"	0.0570341
"Jeff King"	0.0569904
"Oliver McCall"	0.0568336
Pincay	0.0568268
"Todd Eldredge"	0.0566587
"Jubilo Iwata"	0.0565897
"Bjarte Engen Vik"	0.0565242
"Alexei Yagudin"	0.056371
"Dalian Wanda"	0.0560441
"Blaine Wilson"	0.0557183
"Houston Comets"	0.0553648
"Inge de Bruijn"	0.0552628
Karpov	0.055243
"Isao Aoki"	0.0551817
"Khalid Khannouchi"	0.0550966
"Ricky Rudd"	0.0550885
"Juli Inkster"	0.0550633
"Alex Solis"	0.0548984
"Maria Mutola"	0.0548797
Ottey	0.0548154
"Chris McCarron"	0.0544202
Maier	0.0542245
"Michael Doohan"	0.0541007
"Alexander Popov"	0.0540323
"Cathy Freeman"	0.054019
"Marie-Jose Perec"	0.0539717
"Tegla Loroupe"	0.053912
"Hermann Maier"	0.0538893
"Mike Smith"	0.0538014
"Ong Ewe Hock"	0.0537582
"John Godina"	0.05363
"straight man"	0.0536191
"Laffit Pincay"	0.0536105
"David Flores"	0.0535942
"Damon Hill"	0.0535912
Trippi	0.0535154
"Raymond Floyd"	0.0534555
"Xiong Ni"	0.0534113
"Pat Day"	0.0533827
Stephenville	0.0533359
"Gail Devers"	0.053303
"Elvis Stojko"	0.0532507
"Ye Zhaoying"	0.0531936
"Stuart Appleby"	0.0531193
Ulihrach	0.053013
Labonte	0.0529597
"Los Angeles Galaxy"	0.0528343
"Gil Morgan"	0.0527449
Capel	0.0527285
"Alex Zuelle"	0.0525072
"David Graham"	0.0525001
Nicol	0.0523147
"Peter Gade Christensen"	0.0522529
Spartak	0.0520951
Rosenblatt	0.0519697
"Susi Susanti"	0.0519444
"Hicham El Guerrouj"	0.051877
"Pernilla Wiberg"	0.0517796
Ullrich	0.051754
"Mark Calcavecchia"	0.0517289
"Buster Douglas"	0.0515594
Kasparov	0.0515215
"Annika Sorenstam"	0.0514568
Gremio	0.0513691
Cornhusker	0.0513663
Majoli	0.05135
"Stacy Dragila"	0.0513407
"Chicago Fire"	0.0512202
"Scarlet Knights"	0.0511346
"Wang Junxia"	0.0511075
"Olympiakos Piraeus"	0.0510777
"Guo Jingjing"	0.0510535
"Bobby Labonte"	0.0509826
"break of serve"	0.0509678
Hakkinen	0.0508755
"Red Star"	0.0508111
"Donovan Bailey"	0.0506433
"Svetlana Masterkova"	0.0506189
"Daniel Komen"	0.0505439
"Jimmy Vasser"	0.0504307
RedHawks	0.0503801
"FC Barcelona"	0.0503496
"MIka Hakkinen"	0.0502195
courtesan	0.0501952
Stoltenberg	0.0501335
"Rainer Schuttler"	0.0501225
Bjorkman	0.0498534
"Juvenile Fillies"	0.0498453
"Jan-Ove Waldner"	0.0498372
Minutemen	0.0496193
Shoate	0.0496098
))
(Budweiser (desc 7408.86) (sims
"Bud Light"	0.190089
"Miller Lite"	0.157333
Pepsi	0.153788
Heineken	0.150763
Anheuser-Busch	0.136802
Coors	0.129682
"Pepsi Cola"	0.126786
Marlboro	0.117826
"Dom Perignon"	0.11741
NIKE	0.116465
"Mountain Dew"	0.116134
Evian	0.113927
Gatorade	0.113558
Beer	0.110438
Coca-Cola	0.109025
"Coca Cola"	0.108082
Reebok	0.105631
"Diet Coke"	0.104465
Carlsberg	0.101595
coke	0.097017
adidas	0.0943068
scotch	0.0926154
"iced tea"	0.0911651
Corona	0.0911548
Sprite	0.0909378
Levi's	0.0896751
Snapple	0.0893599
"soft drink"	0.0871043
cola	0.0846447
Mastercard	0.0831014
vodka	0.0826424
Volkswagen	0.0818795
Guinness	0.0801136
Buick	0.0770641
Winston	0.0765491
soda	0.0749541
Claritin	0.0749071
Frito-Lay	0.0737036
"cat food"	0.0727335
Samsung	0.0726455
GMC	0.0714852
"Joe Camel"	0.0706528
Chrysler	0.0704896
REVLON	0.0702995
Cadillac	0.0676509
Kodak	0.0671765
lager	0.0667335
Nestle	0.066291
Acura	0.065827
"California wine"	0.0648194
whisky	0.0646655
Cadbury	0.0634294
Mercedes-Benz	0.0629035
Orangina	0.06274
"spring water"	0.0624761
Heinz	0.0623459
VW	0.062333
"soda pop"	0.0623294
liquor	0.06228
"root beer"	0.0621263
Propulsid	0.0620921
"Pizza Hut"	0.0619359
Lexus	0.0616552
Stroh	0.0610357
tequila	0.0608679
Subaru	0.0606961
Puma	0.0604604
"Taco Bell"	0.0603587
Panasonic	0.0598151
"John Hancock"	0.0598042
"mineral water"	0.0593372
lattes	0.0591439
Toyota	0.0589271
Audi	0.058508
Mazda	0.0582734
cigarette	0.0581878
copier	0.058182
whiskey	0.0580067
"Home Depot"	0.0579869
"dog food"	0.0579802
shampoo	0.0575271
Cognac	0.057477
"Mercedes Benz"	0.0570565
Barbie	0.0568367
"Willie Horton"	0.0568167
beverage	0.0566773
Bud	0.0566334
Opel	0.056554
Wyly	0.0561898
perfume	0.0559678
gin	0.0559466
champagne	0.0555014
Seltzer	0.0553334
"hand-held computer"	0.0553152
Harley-Davidson	0.0552877
"Burger King"	0.0545285
Plymouth	0.0542251
Kool-Aid	0.054187
Prilosec	0.0541354
cappuccino	0.0541247
lemonade	0.0539299
"Kentucky Fried Chicken"	0.0538819
"sparkling wine"	0.0537671
Benetton	0.0537593
MCDONALD's	0.0536098
BMW	0.0535942
"Philip Morris"	0.0535078
"American Express"	0.0534791
Fubu	0.05345
Oldsmobile	0.0534263
Saturn	0.0530183
Martini	0.0529255
Kleenex	0.0528066
ale	0.052579
Tylenol	0.0521899
Chevrolet	0.0520845
Prius	0.051535
Texaco	0.0512582
Fuji	0.0512044
Tropicana	0.0508623
sportswear	0.0506555
"General Motors"	0.0504527
"cup of tea"	0.0502457
Celebrex	0.0501947
docker	0.0501906
Xerox	0.0500533
"Smith &AMP; Wesson"	0.0499313
Volvo	0.0497501
Hyundai	0.0496757
"Calvin Klein"	0.049609
Margarita	0.0489695
HILFIGER	0.0486198
LIPITOR	0.048155
Renault	0.0481125
"US West"	0.0481118
Fragrance	0.0478915
forklift	0.0478381
Packard	0.0475336
"Banana Republic"	0.0474376
"Eastman Kodak"	0.0474222
Citroen	0.0473991
Gillette	0.0470661
cider	0.0469538
IBM	0.0469373
McDonalds	0.0467868
Mitsubishi	0.0466799
Nissan	0.0465295
"Coca-Cola Co."	0.0463271
"P&AMP;G"	0.0462002
Energizer	0.0460723
"chewing gum"	0.0459293
neon	0.0457645
condom	0.0456227
"Old Navy"	0.0456117
Motorola	0.0456039
Passat	0.0452501
donut	0.0451912
Dupont	0.0450715
Prozac	0.0449844
Fiat	0.0449682
Chardonnay	0.0449058
Fila	0.0448791
stout	0.0446355
Mercedes	0.044515
"Land Rover"	0.0444649
"blue moon"	0.0443289
Haagen-Dazs	0.044303
"hot chocolate"	0.0442055
"hush puppy"	0.0440597
cosmetic	0.0439775
Verizon	0.0439499
Rolls-Royce	0.0438894
"potato chip"	0.043849
Georgia-Pacific	0.0437487
Pontiac	0.0437139
bottlers	0.0436849
handset	0.043657
absinthe	0.0435399
Occidental	0.0429775
"Charles Schwab"	0.042782
razor	0.0427476
"Ford Motor Co."	0.0427212
"Cadbury Schweppes"	0.0425819
"Chevrolet Monte Carlo"	0.0425765
Marlboros	0.0424925
"color television"	0.0424841
"Weight Watchers"	0.0424148
Busch	0.0423469
"General Electric"	0.0422233
Bridgestone	0.042139
Kellogg	0.0420609
"alcoholic beverage"	0.0420408
viagra	0.0418853
"Office Depot"	0.0418552
Goodyear	0.0418215
"Pepperidge Farm"	0.0417676
aspirin	0.0414682
"passenger car"	0.0413698
Relenza	0.041291
timepiece	0.0412706
))
("Buena Vista" (desc 1901.03) (sims
Reston	0.116679
Lynchburg	0.11113
Blacksburg	0.108914
Roanoke	0.0933965
Langley	0.08942
"Virginia Beach"	0.0888536
Herndon	0.0886992
Petersburg	0.0884263
LANIER	0.0870481
Fairfax	0.0852055
"Fairfax County"	0.0810797
Thomasville	0.0791296
Yorktown	0.0789023
Devine	0.0758595
Williamsburg	0.0755184
Charlottesville	0.073844
Alpharetta	0.0696555
"Fayette County"	0.0696354
"Gwinnett County"	0.0681413
"Crystal City"	0.0669835
Americus	0.0645906
Norfolk	0.0643899
Dulles	0.0629224
Dunwoody	0.0627015
McDonough	0.0624259
"Monroe County"	0.0613707
"Sandy Springs"	0.0605614
"Stone Mountain"	0.0595701
LaGrange	0.0595607
"DeKalb County"	0.0584533
"Fulton County"	0.0574674
Lawrenceville	0.0569979
Carrollton	0.056718
Zydeco	0.0562001
"Fort Benning"	0.0561591
"first CD"	0.0554778
Stafford	0.0552865
mariachi	0.0540908
Suffolk	0.053919
Duluth	0.053867
Brunswick	0.053478
Norcross	0.053037
"Universal Pictures"	0.0524949
"Rockdale County"	0.0521308
"National Republican Congressional Committee"	0.050691
Englewood	0.050428
"BUENA VISTA SOCIAL CLUB"	0.050282
Stockbridge	0.0496791
Gainesville	0.0494996
Fredericksburg	0.0491255
Winchester	0.0488605
"blue note"	0.0485523
"Fort Collins"	0.0485424
Bloomfield	0.0480735
Chatham	0.0479213
Selznick	0.0470846
Como	0.0470662
Arianespace	0.0464443
Alltel	0.0459303
EMI	0.0453477
improv	0.0453208
Jonesboro	0.0452911
Forsyth	0.0448577
Suwanee	0.0447554
CAMILLA	0.0446222
Conyers	0.0445569
Chester	0.0442289
Roswell	0.044155
"Northern Virginia"	0.043956
Covington	0.043951
Clifton	0.0437655
Martinsville	0.043748
Ashland	0.0434587
"American Jewish"	0.0432572
Danville	0.043073
Hillsboro	0.0427771
LAKEWOOD	0.0422968
Plattsburgh	0.0412
klezmer	0.041095
Evansville	0.0410076
"Grand Junction"	0.0406908
"up to six"	0.0405471
Kensington	0.0405433
))
("BUENA VISTA SOCIAL CLUB" (desc 2842.17) (sims
"Blair Witch Project"	0.114656
"musical group"	0.0856765
"Ricky Martin"	0.0779379
Antz	0.0744076
"Erin Brockovich"	0.072998
"Los Lobos"	0.0698086
"Princess Mononoke"	0.0668585
"first CD"	0.0640704
LP	0.0634254
"ray of light"	0.0627954
"N Sync"	0.060094
"Enrique Iglesias"	0.0593888
"Pink Floyd"	0.0585805
"dance band"	0.0580131
"Ivan Pedroso"	0.0575806
Korn	0.056455
Phish	0.0555186
"Pearl Jam"	0.055035
CD-R	0.0545443
Winslow	0.0542041
"Being John Malkovich"	0.0540798
Beatles	0.053571
LIMEY	0.0534464
"Blair Witch"	0.0532264
U-@@@	0.052222
"chicken run"	0.0520611
"Chris Gaines"	0.0512459
"Buena Vista"	0.050282
MRTA	0.0502462
U@	0.0502349
Metallica	0.0492104
Tigger	0.0489726
"American Pie"	0.0485848
Monkees	0.0484712
"Saving Private Ryan"	0.0484303
"Grateful Dead"	0.0482714
EMI	0.0480024
LDs	0.0475528
"Eyes Wide Shut"	0.047392
"Javier Sotomayor"	0.0470799
Mulan	0.0470191
R.E.M	0.0469792
"Fleetwood Mac"	0.0469187
"Congressional Black Caucus"	0.0468328
"high fidelity"	0.0467223
Otpor	0.0466421
EdTV	0.0460412
"Limp Bizkit"	0.0454966
Muppets	0.0452789
"Iron Giant"	0.0448388
"Smoke Signals"	0.0444502
"Varsity Blues"	0.0442587
"Beach Boys"	0.0439026
"Backstreet Boys"	0.0438915
"Aum Shinrikyo"	0.043818
"Bruce Springsteen"	0.0437348
"Fight Club"	0.0436391
"first won"	0.0435297
"Thomas Crown Affair"	0.0435028
"Street Crime Unit"	0.0434415
"Barenaked Ladies"	0.0434183
Rugrats	0.0432803
"Jennifer Lopez"	0.0432724
Waterboy	0.0432174
"National Thoroughbred Racing Association"	0.0430073
bluegrass	0.0425412
"New York City Ballet"	0.0425174
Nutcracker	0.0423567
"Who Wants to Be a Millionaire"	0.0422631
"Marilyn Manson"	0.0421551
"Civil Action"	0.0419118
Geffen	0.0418745
FALN	0.0418091
"Patch Adams"	0.0417655
"New Beetle"	0.0417
Magnolia	0.0415628
"PLO Executive Committee"	0.0414353
"Big Daddy"	0.0412865
"Atomic Energy Commission"	0.0412826
"Spice Girls"	0.041029
SSE	0.0408429
Cher	0.0407989
Ebenezer	0.0405564
"Rolling Stones"	0.0404668
"Republican Leadership Council"	0.0401594
))
("Buenos Aires" (desc 23276.5) (sims
"Rio de Janeiro"	0.220987
"Mexico City"	0.216404
BOGOTA	0.209994
CARACAS	0.20804
Santiago	0.203418
STOCKHOLM	0.196765
BRASILIA	0.191393
SEOUL	0.187011
Prague	0.186431
CAIRO	0.185241
BUDAPEST	0.183508
Istanbul	0.182686
JOHANNESBURG	0.179014
"Kuala Lumpur"	0.178906
BUCHAREST	0.177662
KIEV	0.176943
Havana	0.17681
LISBON	0.17459
"Sao Paulo"	0.174375
Quito	0.173644
Manila	0.172945
Lima	0.171823
Madrid	0.171128
Algiers	0.169653
Vienna	0.16906
HANOI	0.168558
Rome	0.168365
ATHENS	0.168224
Bangkok	0.167627
WARSAW	0.164766
"New Delhi"	0.163145
Riyadh	0.1631
MONTEVIDEO	0.161461
ANKARA	0.161135
Luanda	0.160836
"Cape Town"	0.160715
BRUSSELS	0.160114
Paris	0.159531
Managua	0.158732
Jakarta	0.158618
TUNIS	0.158314
HARARE	0.157778
"Phnom Penh"	0.157533
Nairobi	0.156662
DHAKA	0.156291
"Addis Ababa"	0.156217
SOFIA	0.1554
Amman	0.153551
LONDON	0.152258
Tehran	0.151902
Moscow	0.151655
Tokyo	0.150896
Helsinki	0.150805
KAMPALA	0.150425
Geneva	0.150209
Berlin	0.149929
"San Juan"	0.14857
"Guatemala City"	0.147923
NICOSIA	0.147895
Dublin	0.146525
"Tel Aviv"	0.146254
Asmara	0.146218
Beirut	0.146082
ZAGREB	0.144526
TEGUCIGALPA	0.143981
Copenhagen	0.143697
Amsterdam	0.143696
Frankfurt	0.14368
TIRANA	0.14353
Dushanbe	0.143095
COLOMBO	0.142091
Sarajevo	0.141249
Kathmandu	0.141149
MAPUTO	0.139613
Belfast	0.138777
Seville	0.138691
Lusaka	0.138007
Taipei	0.137662
Oslo	0.136843
"Panama City"	0.136105
Pretoria	0.13559
Durban	0.135482
BEIJING	0.135266
Zurich	0.133749
"SANTAFE DE BOGOTA"	0.133561
Khartoum	0.132914
Islamabad	0.132046
"St. Petersburg"	0.131196
Osaka	0.130075
MELBOURNE	0.129909
Lagos	0.129869
Milan	0.127383
MANAMA	0.126567
Karachi	0.126424
"Ulan Bator"	0.126247
"Santo Domingo"	0.126176
"Abu Dhabi"	0.126146
YANGON	0.125573
Rabat	0.122992
Skopje	0.122758
Kigali	0.122703
Pristina	0.122126
Honolulu	0.121138
"Dar es Salaam"	0.120922
Munich	0.120148
Windhoek	0.119821
Accra	0.119712
BELGRADE	0.119492
Bonn	0.11943
Tripoli	0.119164
"San Jose"	0.119093
Lille	0.118828
Ottawa	0.117934
"San Salvador"	0.117666
Gaborone	0.115403
Dili	0.115004
Alexandria	0.114238
Doha	0.114214
Asuncion	0.114166
Srinagar	0.113276
Baghdad	0.113197
Damascus	0.111373
Shanghai	0.111366
Tashkent	0.111303
Vilnius	0.110916
Port-au-Prince	0.110283
Kabul	0.109988
Bombay	0.109815
Abidjan	0.109654
Lhasa	0.109641
Wellington	0.109509
Baku	0.108662
Vientiane	0.108083
CHENGDU	0.107982
Barcelona	0.107584
Kinshasa	0.106504
Auckland	0.106471
Tbilisi	0.106426
JERUSALEM	0.106414
Hamburg	0.106171
Kunming	0.106162
PALERMO	0.106066
"Fort Lauderdale"	0.105782
Montreal	0.105054
"Little Rock"	0.104632
Calcutta	0.104507
"Ho Chi Minh City"	0.10449
Acapulco	0.104382
"Oklahoma City"	0.104199
"St Petersburg"	0.104031
Sydney	0.103687
Naples	0.103631
Minsk	0.10359
Florence	0.103403
Katmandu	0.102951
SANAA	0.101931
"Los Angeles"	0.101819
Bissau	0.10177
Minneapolis	0.101544
Bujumbura	0.101276
"Des Moines"	0.100327
Jeddah	0.100286
"La Paz"	0.100168
"KUWAIT CITY"	0.0993035
Monrovia	0.0992074
Canberra	0.0990888
Birmingham	0.0990035
PYONGYANG	0.09877
Turin	0.098546
Washington	0.0982339
Albany	0.0981268
"New Orleans"	0.0969792
"Quebec City"	0.0969274
Suva	0.0969144
Mbabane	0.0968036
Urumqi	0.0967739
Gaza	0.0963837
Rochester	0.0962935
Newark	0.0959848
"Egyptian capital"	0.095948
Toronto	0.0958552
Lahore	0.0956276
Lausanne	0.0955493
"Fort Worth"	0.0952247
Tampa	0.0950617
Grozny	0.0948119
Winnipeg	0.0941261
Tucson	0.0939169
Venice	0.0938166
"Las Vegas"	0.0937581
"Key West"	0.0933736
Freetown	0.0933216
Wilmington	0.0931331
Salzburg	0.0930178
Vancouver	0.0927222
Guangzhou	0.0925902
Chicago	0.0925611
Brisbane	0.0923053
"Long Beach"	0.092057
Phoenix	0.0919627
))
(BUF (desc 2288.32) (sims
Edm	0.65632
phi	0.640153
SJ	0.626152
Stl	0.623741
Ott	0.62333
Det	0.507217
pho	0.489129
dal	0.482966
col	0.477943
FLA	0.466366
tor	0.451172
Mon	0.406869
Ana	0.394094
NA	0.308534
Holik	0.209288
Cal	0.20665
Chi	0.199095
LaPointe	0.179208
Tb	0.173128
Pederson	0.141636
Arnott	0.112345
Smolinski	0.108466
Sacco	0.106206
Samuelsson	0.0928734
Berard	0.0920923
McKay	0.0889589
Robitaille	0.0755299
Laperriere	0.0730642
Norstrom	0.0703176
O'Donnell	0.0653309
Stevens	0.0646852
two-minute	0.0644105
Hou	0.062608
McKenna	0.0602546
Ferraro	0.0588293
Doan	0.0586167
"Darren McCarty"	0.0522659
Andreychuk	0.0506662
tamer	0.0467875
Alonzo	0.0464162
Sykora	0.0449938
Leetch	0.0442635
tarpon	0.0430866
Duchesne	0.0420162
Elias	0.0414209
"Sean O'Donnell"	0.0413302
Niedermayer	0.0411519
"Gabriel Byrne"	0.0410102
Sorensen	0.0409472
))
(buff (desc 22562.6) (sims
enthusiast	0.155797
aficionados	0.128691
aficionado	0.113613
collector	0.105129
"sports fan"	0.10237
hobbyist	0.100965
fanatic	0.097026
lover	0.093002
connoisseur	0.0924358
devotee	0.0910737
"music lover"	0.0908005
historian	0.088027
fan	0.0878727
purist	0.0807842
scholar	0.0769984
gamers	0.0753734
Reader	0.0745383
theatergoer	0.0734331
professional	0.0725058
junkie	0.0723482
shopper	0.0715665
admirer	0.0714041
surfer	0.0693721
novice	0.0692563
birder	0.0687535
geek	0.0684825
listener	0.0681128
Programmer	0.0678089
writer	0.0672429
artist	0.0672322
junky	0.0671755
environmentalist	0.066359
musician	0.0661174
traveler	0.0654926
viewer	0.0646943
gardener	0.0645069
journalist	0.0641784
entrepreneur	0.0640281
wonk	0.0638904
genealogist	0.0630742
theorist	0.062635
drinker	0.0625938
archaeologist	0.0625439
moviegoer	0.0620821
feminist	0.0617795
pundit	0.0617639
retiree	0.0614117
"good person"	0.0610858
"New Yorker"	0.0607979
folk	0.0606459
archivist	0.0605117
believer	0.0603044
neophyte	0.0602334
researcher	0.0600233
astronomer	0.0596494
freak	0.0594111
golfer	0.0594013
addict	0.0593092
watcher	0.0591774
celebrity	0.0591078
buyer	0.0590431
angler	0.0590203
educator	0.0588528
Parisian	0.0586527
reviewer	0.0583766
filmmakers	0.0583587
audience	0.0583551
hiker	0.0580887
goer	0.0574733
critic	0.0574037
patron	0.0571213
enactors	0.0570953
technician	0.0569846
expert	0.0569379
academic	0.0561109
scientist	0.0560417
conventioneer	0.056039
skeptic	0.05564
designer	0.0556145
snob	0.0555291
Atlantans	0.0554943
tourist	0.0554817
consumer	0.0553938
hater	0.0553627
archeologist	0.0552778
Maven	0.0552365
activist	0.0551948
jogger	0.0547883
naturalist	0.0547083
visionary	0.0546678
nerd	0.0546603
intellectual	0.0544334
curator	0.0542024
linguist	0.0541178
visitor	0.0540586
engineer	0.0537089
skier	0.0536006
politician	0.0534802
"business traveler"	0.0532871
"art historian"	0.0532714
Amateur	0.0531701
disciple	0.0529769
insider	0.0528329
beginner	0.0528086
woodworker	0.0526896
"mountain climber"	0.0526636
traditionalist	0.0526621
adventurer	0.0526605
restaurateur	0.0526032
Hunter	0.0524849
memorabilia	0.0524072
composer	0.0522953
scout	0.052226
"venture capitalist"	0.0521484
gambler	0.0521461
"movie star"	0.0518708
pianist	0.0518548
commentator	0.0518047
developer	0.0517443
groupie	0.0517115
"baby boomer"	0.0515539
librarian	0.0515393
Alumni	0.0514093
stargazer	0.051338
fiend	0.0510363
paleontologist	0.0510187
follower	0.050921
"New Englander"	0.0505928
"social scientist"	0.0505808
novelist	0.0504678
poet	0.0504677
filmgoers	0.0504511
specialist	0.0503509
biologist	0.0503132
liberal	0.0501818
biker	0.0501303
photographer	0.0500448
comedian	0.0497737
biographer	0.0497496
Industrialist	0.049485
user	0.0494811
trader	0.0494667
"policy maker"	0.0493808
ethicists	0.0492511
capitalist	0.0492494
chaser	0.0491711
mathematician	0.0491163
learner	0.0490927
observer	0.0488711
whiz	0.0487616
athlete	0.0487139
Explorer	0.0487133
instrumentalist	0.0486072
preservationists	0.0485269
conservationist	0.0483678
housewife	0.0482934
cheerleader	0.0482796
teen-ager	0.0482576
Texan	0.0481282
filmmaker	0.0481014
performer	0.0480818
philosopher	0.0480139
violinist	0.0479666
theologian	0.0477492
westerner	0.0476677
painter	0.0476637
impresario	0.0475864
chef	0.0475429
eccentric	0.0474976
stylist	0.0474435
Iowan	0.047289
spectator	0.0470552
lore	0.0470287
songwriter	0.0469645
sleuth	0.0469428
sportswriters	0.0468897
"college student"	0.0468572
racer	0.0468307
Playwright	0.0467992
techies	0.0467966
horticulturist	0.0466407
christian	0.0465778
advertiser	0.0464449
malcontent	0.0463692
old-timer	0.0463514
physicist	0.0462898
reveler	0.0462174
pacifist	0.046147
luminary	0.0461018
clinician	0.0460358
voyeur	0.0460213
"press agent"	0.0459828
"home buyer"	0.0458816
geologist	0.0458048
greats	0.0457806
"legal expert"	0.0456829
skater	0.045637
jock	0.0455178
idealist	0.0454738
instructor	0.0452203
))
(Buffalo (desc 70310.6) (sims
Pittsburgh	0.266733
Detroit	0.252337
Dallas	0.249385
"St. Louis"	0.245677
Philadelphia	0.241927
"Tampa Bay"	0.231624
Edmonton	0.221431
Denver	0.221334
Carolina	0.221207
Phoenix	0.220841
Montreal	0.220099
Baltimore	0.217454
Toronto	0.215486
Calgary	0.214787
"San Jose"	0.214095
Chicago	0.213469
Vancouver	0.209361
Cleveland	0.209114
"Kansas City"	0.20841
"Green Bay"	0.206985
ANAHEIM	0.20504
Cincinnati	0.204691
Boston	0.204305
"San Diego"	0.203428
Seattle	0.201333
Miami	0.200166
Jacksonville	0.19794
Nashville	0.194567
Milwaukee	0.194279
Atlanta	0.192665
Indianapolis	0.192254
"New Orleans"	0.191952
Oakland	0.191332
Houston	0.191076
"San Francisco"	0.189287
Portland	0.182232
"Los Angeles"	0.181427
Minnesota	0.181332
Colorado	0.180202
Ottawa	0.177143
Sacramento	0.16828
"New Jersey"	0.166263
Syracuse	0.165699
Orlando	0.165257
"San Antonio"	0.160954
Columbus	0.158999
Florida	0.157988
Arizona	0.15765
"N.Y. Islanders"	0.156196
Charlotte	0.154863
Tennessee	0.152238
Tampa	0.150601
"New York Jets"	0.147572
"New York"	0.146894
"New England"	0.146172
Washington	0.144544
"N.Y. Rangers"	0.141528
Minneapolis	0.140827
"New York Giants"	0.139016
Indiana	0.138983
Albany	0.133928
Memphis	0.133216
Rochester	0.131285
Utah	0.128457
islander	0.126274
Louisville	0.125798
sabre	0.125644
Giants	0.125059
ranger	0.11902
Hartford	0.118164
Providence	0.1172
"Las Vegas"	0.116442
Richmond	0.115585
"New York Rangers"	0.115392
"Buffalo Sabres"	0.114397
Texas	0.1119
"Golden State"	0.111899
devil	0.111804
Nebraska	0.111655
Michigan	0.111
Honolulu	0.110946
"Salt Lake City"	0.110694
Purdue	0.110449
"Buffalo Bills"	0.109949
"New York City"	0.109092
"New York Islanders"	0.109069
"New York Mets"	0.108855
Mets	0.108623
Binghamton	0.108417
Birmingham	0.107701
"Penn State"	0.106956
oiler	0.106943
Tulsa	0.106896
Rutgers	0.106711
Austin	0.106551
Newark	0.106232
"Oregon State"	0.105687
Tucson	0.105469
"Los Angeles Lakers"	0.105257
Yankee	0.105054
Oregon	0.104767
"Chicago Cubs"	0.104566
Kentucky	0.104409
Lakers	0.104216
Alabama	0.103789
panther	0.103665
"Florida State"	0.103601
"Chicago White Sox"	0.103597
Knicks	0.103579
Wisconsin	0.102682
cardinal	0.102088
Oklahoma	0.102047
"Arizona State"	0.101928
Seahawks	0.101627
bruin	0.101595
Auburn	0.101557
BEARS	0.101325
Stanford	0.101089
"Red Wings"	0.100751
"Fort Lauderdale"	0.10071
Eagles	0.100455
bronco	0.100356
UCLA	0.0993636
Redskin	0.0991128
"Maple Leafs"	0.0988601
Arkansas	0.0983109
Connecticut	0.0981756
"North Carolina"	0.0981591
"New York Yankees"	0.0981215
MetroStars	0.0978888
"Fort Worth"	0.0974203
"Minnesota Vikings"	0.0971467
USC	0.0971342
"Washington State"	0.0968795
falcon	0.0968363
"Iowa State"	0.0968102
"Oklahoma State"	0.0964473
"Michigan State"	0.0963958
"Ohio State"	0.0959979
"White Sox"	0.0951954
"Miami Dolphins"	0.0948156
Wilmington	0.0947112
Albuquerque	0.0943785
Kansas	0.0943224
"Long Beach"	0.094282
"Mexico City"	0.0941244
cub	0.093794
Manchester	0.0934812
"Des Moines"	0.0934769
"Virginia Tech"	0.0934752
"Little Rock"	0.0934244
dolphin	0.0932397
"Mississippi State"	0.0929929
L.A	0.0929823
"Notre Dame"	0.0928186
"West Virginia"	0.0926821
Steelers	0.0926721
"Kansas State"	0.0924779
Virginia	0.0924774
"St. Petersburg"	0.0924121
coyote	0.0921653
"West Palm Beach"	0.0918712
"Oklahoma City"	0.091799
packer	0.0913383
Hawaii	0.0908477
"New York Knicks"	0.0907739
Havana	0.0905385
"El Paso"	0.0903151
"Southern California"	0.0901854
"Dallas Cowboys"	0.0900584
cowboy	0.089964
Iowa	0.0895848
"Washington Redskins"	0.0894613
"Boston College"	0.0893346
Maryland	0.0891661
Canadiens	0.0887227
Bengals	0.0886904
ram	0.0886559
Canuck	0.088502
"Indianapolis Colts"	0.0883849
flyer	0.0881902
LSU	0.0880479
charger	0.087968
Georgia	0.0878704
dodger	0.0877888
pacer	0.0877342
"Indiana Pacers"	0.0875281
Winnipeg	0.0872937
tiger	0.0871521
ASTROS	0.0870001
"Los Angeles Clippers"	0.0869049
Knoxville	0.0867568
"Florida Panthers"	0.0864087
Viking	0.0863778
Philly	0.0863756
Celtics	0.086273
brave	0.086215
Brooklyn	0.0861295
MELBOURNE	0.0859689
Charleston	0.0855017
))
("Buffalo Bills" (desc 8951.07) (sims
"Denver Broncos"	0.273251
"Minnesota Vikings"	0.258043
"San Francisco @@ers"	0.257487
"Kansas City Chiefs"	0.256795
"Pittsburgh Steelers"	0.25479
"Miami Dolphins"	0.245708
"Tampa Bay Buccaneers"	0.243507
"Washington Redskins"	0.241607
"Chicago Bears"	0.241227
"Philadelphia Eagles"	0.231531
"New York Giants"	0.229769
"Dallas Cowboys"	0.227311
"ATLANTA FALCONS"	0.223092
"Indianapolis Colts"	0.22268
"New York Jets"	0.222668
"Green Bay Packers"	0.218072
"Seattle Seahawks"	0.216243
"San Diego Chargers"	0.213871
"Oakland Raiders"	0.21303
"New England Patriots"	0.211889
"Detroit Lions"	0.198815
"Cincinnati Bengals"	0.194411
"Carolina Panthers"	0.19366
"Jacksonville Jaguars"	0.192666
"Arizona Cardinals"	0.191335
"St. Louis Rams"	0.190657
"New Orleans Saints"	0.190498
"Baltimore Ravens"	0.185992
"Cleveland Browns"	0.183951
"Tennessee Titans"	0.17552
"Los Angeles Rams"	0.155022
Giants	0.144134
"Calgary Flames"	0.143917
Seahawks	0.142439
Steelers	0.142028
packer	0.139677
"Charlotte Hornets"	0.137268
raider	0.133208
Redskin	0.132001
"Miami Heat"	0.131112
"Boston Celtics"	0.130872
"New York Knicks"	0.130139
"Detroit Pistons"	0.129306
"Green Bay"	0.128485
"New Jersey Nets"	0.127649
"Vancouver Canucks"	0.127497
"Chicago Bulls"	0.127036
"Los Angeles Lakers"	0.126718
falcon	0.126576
bronco	0.12569
"Dallas Mavericks"	0.121303
"Phoenix Suns"	0.120473
"Golden State Warriors"	0.120385
"New York Liberty"	0.119902
Bengals	0.118977
"Milwaukee Bucks"	0.117966
"Los Angeles Kings"	0.117618
BEARS	0.116563
"Pittsburgh Penguins"	0.116139
"Kansas City Royals"	0.116128
"Edmonton Oilers"	0.116102
Eagles	0.116059
"Washington Wizards"	0.115589
"Boston Red Sox"	0.115565
ram	0.114971
"Atlanta Hawks"	0.114924
MetroStars	0.11448
"Tampa Bay Lightning"	0.113844
"Portland Trail Blazers"	0.113688
"New York Rangers"	0.113584
"Dallas Burn"	0.112199
"Sacramento Kings"	0.112065
"Utah Jazz"	0.111863
"St. Louis Cardinals"	0.111546
patriot	0.111339
"New York-New Jersey MetroStars"	0.111132
"Nashville Predators"	0.111028
"San Antonio Spurs"	0.111004
oiler	0.110659
cowboy	0.110598
"Boston Bruins"	0.110377
Viking	0.110096
Buffalo	0.109949
"San Francisco Giants"	0.109521
Bucs	0.10943
"Carolina Hurricanes"	0.108582
"Milwaukee Brewers"	0.108475
"Montreal Expos"	0.108295
"St. Louis Blues"	0.108216
charger	0.108092
"Virginia Tech"	0.107551
"Washington Capitals"	0.106996
dolphin	0.106814
"Detroit Tigers"	0.106376
piston	0.106366
"Indiana Pacers"	0.1063
colt	0.105692
"Detroit Red Wings"	0.105585
"Baltimore Orioles"	0.105545
Celtics	0.10535
"Montreal Canadiens"	0.105137
"Minnesota Timberwolves"	0.104269
"San Diego Padres"	0.103928
"Chicago White Sox"	0.103674
"Tampa Bay"	0.103673
"New York Yankees"	0.103152
"New Jersey Devils"	0.103092
"Buffalo Sabres"	0.102642
"Oregon State"	0.102593
"Boston College"	0.102354
"Oakland Athletics"	0.10163
"Montana State"	0.101603
"Baltimore Colts"	0.101028
cardinal	0.100173
Raven	0.099886
"Houston Oilers"	0.0997998
"Houston Rockets"	0.0996915
"Dallas Stars"	0.0996732
"Arizona State"	0.0994704
"blue jay"	0.0993256
panther	0.0991812
BUCCANEER	0.099143
"Denver Nuggets"	0.0991314
"Los Angeles Dodgers"	0.0986895
"Seton Hall"	0.0986469
"Los Angeles Clippers"	0.0981159
"New York Islanders"	0.0978299
"Ottawa Senators"	0.0977554
"Philadelphia Flyers"	0.0977041
"Toronto Raptors"	0.0975975
"Cleveland Indians"	0.0974773
"Florida Panthers"	0.0974038
"Philadelphia Phillies"	0.0967549
"Florida State"	0.0965278
"Pittsburgh Pirates"	0.0959475
"Kansas State"	0.0955653
"Crimson Tide"	0.0954809
bruin	0.0954591
Hornet	0.0954159
"San Jose State"	0.0951432
"Cleveland Cavaliers"	0.0950081
A's	0.0945776
"Colorado Avalanche"	0.094428
"Chicago Cubs"	0.0943651
"Florida Marlins"	0.0942839
"Toronto Maple Leafs"	0.0940948
"Phoenix Coyotes"	0.0937366
titan	0.0935737
"New York Mets"	0.0935571
"Tar Heels"	0.093445
"Colorado Rockies"	0.0934229
"Michigan State"	0.0933933
"Ohio State"	0.0933492
"Mighty Ducks"	0.0933364
"Mississippi State"	0.0931551
Lakers	0.0916329
"Oklahoma State"	0.0915737
Sooners	0.091561
"Iowa State"	0.0913816
Phillies	0.0911727
"San Jose Sharks"	0.0911075
LSU	0.0910807
"Minnesota Twins"	0.0910711
"Orlando Magic"	0.0910216
"Tampa Bay Devil Rays"	0.0909805
"Houston Astros"	0.0907566
Orioles	0.0901175
"Anaheim Angels"	0.0900783
"Penn State"	0.0898827
"Atlanta Braves"	0.0898805
BYU	0.0892252
islander	0.0891104
pacer	0.0885959
Canuck	0.0881455
"Seattle Mariners"	0.0875218
bulldog	0.0875187
Jacksonville	0.0874102
"Toronto Blue Jays"	0.087408
"Fresno State"	0.0873957
Gators	0.0873228
"North Carolina State"	0.0872692
"Maple Leafs"	0.08725
"Horned Frogs"	0.0870263
"D.C. United"	0.0868795
"Red Wings"	0.086806
Seminoles	0.086523
Rutgers	0.086494
"Texas Tech"	0.0864438
Carolina	0.0863511
UNLV	0.0862755
"Notre Dame"	0.0860679
"White Sox"	0.0860167
"Cincinnati Reds"	0.0859
Canadiens	0.0855967
"Chicago Fire"	0.084771
Minnesota	0.0847333
"Georgia Tech"	0.0843707
jet	0.0843463
Pepperdine	0.0843244
wildcat	0.0843118
))
("Buffalo Sabres" (desc 7426.67) (sims
"New Jersey Devils"	0.248725
"Toronto Maple Leafs"	0.237458
"New York Rangers"	0.233662
"St. Louis Blues"	0.23266
"Philadelphia Flyers"	0.230614
"Washington Capitals"	0.228092
"Vancouver Canucks"	0.22722
"Edmonton Oilers"	0.221568
"Colorado Avalanche"	0.220823
"Detroit Red Wings"	0.219523
"Dallas Stars"	0.21651
"Pittsburgh Penguins"	0.213489
"San Jose Sharks"	0.209405
"Los Angeles Kings"	0.207728
"Montreal Canadiens"	0.198987
"Calgary Flames"	0.197909
"Florida Panthers"	0.195258
"Boston Bruins"	0.193362
sabre	0.191996
"Anaheim Mighty Ducks"	0.18441
"Chicago Blackhawks"	0.182256
"Carolina Hurricanes"	0.175965
"Miami Fusion"	0.173791
"New York Islanders"	0.17155
"Maple Leafs"	0.165645
"Phoenix Coyotes"	0.165457
"Nashville Predators"	0.164016
"Ottawa Senators"	0.162224
"Dallas Burn"	0.154913
"Chicago Fire"	0.154718
"Atlanta Thrashers"	0.151452
"Tampa Bay Lightning"	0.150632
"San Antonio Spurs"	0.146694
"Miami Heat"	0.145839
"Red Wings"	0.145029
"New York Knicks"	0.141585
"Indiana Pacers"	0.136387
"Utah Jazz"	0.133364
Canadiens	0.133363
"D.C. United"	0.131804
islander	0.131264
oiler	0.130681
"Detroit Pistons"	0.129689
"Phoenix Suns"	0.12925
"Sacramento Kings"	0.128823
"New York Liberty"	0.128267
"Milwaukee Bucks"	0.127391
"Texas Rangers"	0.127351
"New York-New Jersey MetroStars"	0.127132
"San Francisco Giants"	0.126484
"San Diego Padres"	0.125707
"Minnesota Twins"	0.124389
"Mighty Ducks"	0.124185
"Portland Trail Blazers"	0.123891
"Kansas City Royals"	0.123493
MetroStars	0.122653
"Houston Astros"	0.122519
"Fighting Irish"	0.121737
Canuck	0.121354
"Los Angeles Lakers"	0.120736
"Phoenix Mercury"	0.120661
"Golden State Warriors"	0.120449
"Milwaukee Brewers"	0.120303
"Houston Rockets"	0.119027
"Dallas Cowboys"	0.118108
"Detroit Tigers"	0.117714
"Toronto Blue Jays"	0.116995
"CHARLOTTE STING"	0.116764
"Pittsburgh Pirates"	0.116088
"Atlanta Hawks"	0.116043
Buffalo	0.114397
panther	0.114081
bruin	0.114077
devil	0.113726
"Cleveland Indians"	0.113417
"Carolina Panthers"	0.113172
"Philadelphia Eagles"	0.113152
"Seattle Mariners"	0.112793
coyote	0.112643
"Arizona Diamondbacks"	0.112587
"Los Angeles Sparks"	0.112234
"Los Angeles Galaxy"	0.111716
flyer	0.111184
"American Chanda Rubin"	0.111022
"Tampa Bay Devil Rays"	0.110937
pacer	0.110506
"Kansas City Chiefs"	0.110404
"Iowa State"	0.110089
"Minnesota Timberwolves"	0.109349
"Boston Red Sox"	0.109259
"Boston Celtics"	0.10889
"Washington Redskins"	0.108757
"Orlando Magic"	0.108742
Blackhawks	0.10873
"Colorado Rockies"	0.108488
"Arizona Cardinals"	0.108291
"Mississippi State"	0.107103
"Seibu Lions"	0.105957
"Baltimore Orioles"	0.105834
"Denver Nuggets"	0.105726
"Washington Wizards"	0.105544
"New York Giants"	0.105541
"Chicago White Sox"	0.105318
Carolina	0.104288
"Cincinnati Reds"	0.104243
"New York Mets"	0.104228
"St. Louis Cardinals"	0.104104
"Oakland Athletics"	0.103401
"Phenix City"	0.103229
"Los Angeles Clippers"	0.102734
"Buffalo Bills"	0.102642
"Minnesota Vikings"	0.102633
"Anaheim Angels"	0.102609
Edmonton	0.102156
"Atlanta Braves"	0.101862
Celtics	0.101781
"Seattle Seahawks"	0.101658
"Tennessee Titans"	0.101328
"Seattle SuperSonics"	0.100945
"Southwest Missouri State"	0.10046
"Philadelphia Phillies"	0.0997621
"Chicago Bears"	0.099644
Stars	0.0996371
"Oregon State"	0.0993127
"New York Jets"	0.0988589
"Dallas Mavericks"	0.0985003
Gonzaga	0.0982111
Galatasaray	0.0979303
ranger	0.0978022
"Charlotte Hornets"	0.0974268
"New England Patriots"	0.0973588
"Montreal Expos"	0.0972701
"Green Bay Packers"	0.0970925
"Detroit Lions"	0.0967757
Phillies	0.0964014
"San Diego Chargers"	0.0962917
Jansher	0.0961859
"Chicago Bulls"	0.0961703
diamondback	0.0959523
"Utah State"	0.0957718
piston	0.0956951
"Texas Tech"	0.0955671
"Tampa Bay"	0.0955235
"ATLANTA FALCONS"	0.0953757
"Toronto Raptors"	0.0952893
Ottawa	0.0952861
"Horned Frogs"	0.0952383
"Miami Dolphins"	0.0949858
"Chicago Cubs"	0.0948176
penguin	0.0945863
"Colorado State"	0.0944593
"Oklahoma State"	0.0942521
"Louisiana Tech"	0.0941874
Padre	0.0940902
"New York Yankees"	0.0939497
"New Orleans Saints"	0.0937536
Giants	0.0937148
"Denver Broncos"	0.0936799
"Montana State"	0.0933844
"blue jay"	0.0927374
"Los Angeles Dodgers"	0.0927151
Lobos	0.0922251
"devil ray"	0.0921106
"Trail Blazers"	0.0920874
Edberg	0.0920535
"Sandrine Testud"	0.0918397
"Indianapolis Colts"	0.0917073
"San Jose State"	0.0915567
gamecock	0.0914649
"Ai Sugiyama"	0.0913828
"New Jersey Nets"	0.0913151
Knicks	0.0913038
Cruzeiro	0.0911572
Timberwolves	0.0907656
"North Carolina State"	0.0905537
avalanche	0.0903045
Cornhusker	0.0897749
"St. Louis Rams"	0.0893122
"Marat Safin"	0.0891981
"Team USA"	0.0888006
Purdue	0.0884023
Redskin	0.0882532
"Bayern Munich"	0.0882512
"Florida Marlins"	0.0882004
Rutgers	0.0881825
Nicol	0.0881163
Raoux	0.0878279
"Vancouver Grizzlies"	0.0878016
Fiorentina	0.0876177
"Michigan State"	0.0875223
"Cleveland Cavaliers"	0.0873504
"Conchita Martinez"	0.0871926
Gators	0.0870488
"Seton Hall"	0.086928
"Tar Heels"	0.0869203
"Pittsburgh Steelers"	0.0867005
"San Francisco @@ers"	0.0866551
"Cleveland Browns"	0.0866284
"Washington Mystics"	0.0866088
Testud	0.0865168
))
(Buffaloes (desc 4841.78) (sims
Boilermakers	0.157886
oxen	0.142144
Sooners	0.139428
Hawkeyes	0.137246
"Red Raiders"	0.132359
hyena	0.129898
Huskers	0.121394
Jayhawks	0.120813
Minutemen	0.120632
Lobos	0.116182
"Tar Heels"	0.114214
Wolfpack	0.110738
"blue devil"	0.108864
"Crimson Tide"	0.105898
gamecock	0.105626
"Scarlet Knights"	0.105279
giraffe	0.105181
"Nittany Lions"	0.104516
cougar	0.103799
Razorback	0.103601
Hokies	0.103353
donkey	0.103121
"Golden Hurricane"	0.103093
"Horned Frogs"	0.103092
Starzz	0.102951
bearcat	0.100361
"Red Storm"	0.0997531
badger	0.0997381
Vols	0.0993818
NAU	0.0988391
Gators	0.0983526
buckeye	0.0982667
camel	0.0981384
MetroStars	0.0978966
Cornhusker	0.0971457
lion	0.0969779
tiger	0.0958308
sheep	0.095053
Seminoles	0.0947206
gazelle	0.0945547
Pepperdine	0.093967
Aggies	0.0937077
"Fighting Irish"	0.0936978
rhino	0.0926108
UAB	0.0924889
deer	0.0912399
elephant	0.0912306
Illini	0.091091
RedHawks	0.0906831
antelope	0.0902306
bulldog	0.0899544
wildcat	0.0895009
gopher	0.0880959
hog	0.0878043
Longhorn	0.0877998
MSU	0.0870032
matador	0.0868109
Sonics	0.0863143
Leverkusen	0.0862907
"yellow jacket"	0.0859159
Bengals	0.0857086
"Arkansas State"	0.0856406
goat	0.0850843
carp	0.0847141
Bucs	0.0841931
UMass	0.0837282
"Trail Blazers"	0.0837184
elk	0.0836309
Stephenville	0.0833999
Hoosier	0.0833613
lynx	0.0833117
zebra	0.0831371
husky	0.082864
Spartan	0.082716
"Old Dominion"	0.0825951
terrapin	0.0821632
"Georgia Southern"	0.0818974
LSU	0.0818823
Gonzaga	0.0818381
Purdue	0.0818248
duck	0.081457
"domestic animal"	0.0813287
Giants	0.081137
beaver	0.0806038
"Seibu Lions"	0.0805695
BEARS	0.080366
Blackhawks	0.0800052
Steelers	0.0798815
Rattler	0.0798777
outhit	0.0797636
"N.C. State"	0.0790941
Timberwolves	0.0789606
bobcat	0.0788259
pig	0.0787814
Canuck	0.0787157
Hongyuan	0.0786943
ASU	0.0785763
hippo	0.0782049
Buffalo	0.0781783
Samford	0.078147
hawk	0.0781407
"Iowa State"	0.078114
cattle	0.0778083
"Texas Tech"	0.0774046
Shenhua	0.0771889
"Phenix City"	0.076998
"Mississippi State"	0.0769911
CSUN	0.0769097
"devil ray"	0.0768695
Mavs	0.076749
Utes	0.076503
Marquette	0.076243
Eagles	0.0759255
Fordham	0.0758846
Daiei	0.0758537
Mustang	0.0752744
Wolverine	0.0752459
llama	0.0751129
sixer	0.075095
charger	0.0748469
"Los Angeles Galaxy"	0.0745067
owl	0.0743447
grizzly	0.0741809
Rutgers	0.0739783
Padre	0.0737427
Orioles	0.0737194
cavalier	0.0735772
"Oregon State"	0.0734343
rooster	0.07339
Lindland	0.0733574
"Penn State"	0.0732174
Canadiens	0.0730429
Sparks	0.0728916
Tulsa	0.0727751
Schalke	0.0726376
Trojan	0.072584
Xavier	0.0724588
Clemson	0.0720762
cow	0.0720154
Phillies	0.0719011
"Ohio State"	0.0718367
"Maple Leafs"	0.0716901
DePaul	0.0716045
BYU	0.0713144
TCU	0.0710214
"Dallas Cowboys"	0.0707601
"Wang Chen"	0.0704503
bronco	0.0703769
geese	0.0700053
outshot	0.069859
"Minnesota Vikings"	0.0698109
ostrich	0.0697774
piston	0.0696763
frog	0.0696295
"Utah State"	0.0693683
"Kansas State"	0.069319
Bayern	0.0691919
Berasategui	0.0691724
"Michigan State"	0.0690922
Rusch	0.068612
panther	0.0685564
"Partizan Belgrade"	0.0684931
commodore	0.0682542
"blue jay"	0.0681012
"Ball State"	0.0679711
PAOK	0.0678207
"Saint Louis"	0.0678027
coyote	0.0677113
Olympiakos	0.0677027
Seahawks	0.067624
Hoya	0.0674476
maverick	0.0674461
Astacio	0.0674047
Terps	0.0673053
"Oklahoma State"	0.067302
"Philadelphia Eagles"	0.0672668
Hofstra	0.0672526
falcon	0.0671763
spikers	0.0670562
"Seton Hall"	0.0670426
"water buffalo"	0.0667933
leopard	0.0667849
Supersonics	0.0666505
"Tampa Bay"	0.06657
OSU	0.0664804
ASTROS	0.0663649
blazer	0.0663523
dolphin	0.0662572
Cavs	0.0662038
cub	0.0661936
lumberjack	0.0659759
"Southern Mississippi"	0.0659123
Bastia	0.0657866
"San Jose State"	0.0657206
Hornet	0.0656155
Udinese	0.0654749
"Ji Xinpeng"	0.065248
Inter	0.0651416
"Red Wings"	0.0651181
Baylor	0.0650538
))
(buffer (desc 14100) (sims
deterrent	0.0772203
"line of defense"	0.0757466
hedge	0.0753127
bulwark	0.0743226
"bargaining chip"	0.0716769
cushion	0.0672161
firewall	0.0660477
counterbalance	0.0654209
deterrence	0.0613447
"fire wall"	0.0583919
"safety valve"	0.0583481
precaution	0.0581913
"early warning system"	0.058013
barrier	0.0568469
enclave	0.0555684
"defense system"	0.0537591
"free port"	0.0514784
"smoke screen"	0.0513349
"meeting place"	0.0496481
"trading post"	0.0492923
"guardian angel"	0.0479355
firewalls	0.0478472
berm	0.047295
collateral	0.0462594
intermediary	0.0461111
disengagement	0.0457738
counterweight	0.0455238
linkage	0.0451383
easements	0.0450171
"South Lebanon"	0.0447628
gatekeeper	0.0446344
"sphere of influence"	0.0445931
nexus	0.0439404
mechanism	0.0437781
"reference point"	0.043771
haven	0.0432117
"international criminal court"	0.0426997
go-between	0.0422495
lifeline	0.0418381
passageway	0.0416898
corrective	0.0413901
"dividing line"	0.0413238
"missile defense system"	0.0406808
tightrope	0.0405329
"observation post"	0.0405089
divider	0.0402732
"state of war"	0.0402583
"nest egg"	0.0401665
"support system"	0.0400069
))
(buffet (desc 16429.3) (sims
meal	0.118618
brunch	0.11539
potluck	0.10929
dinner	0.107688
breakfast	0.107597
lunch	0.103828
supper	0.101389
menu	0.100747
feast	0.0973032
picnic	0.0897566
dessert	0.08668
barbecue	0.0865739
snack	0.0850695
banquet	0.0835235
smorgasbord	0.083088
appetizer	0.0817631
"afternoon tea"	0.0807455
sandwich	0.0797913
repast	0.0789404
poolside	0.077392
entree	0.0765183
dish	0.0756233
pizza	0.0746195
lodging	0.0729956
salad	0.0719102
"cocktail party"	0.0701027
table	0.0691026
cafeteria	0.0685138
tray	0.0684924
platter	0.0672918
bistro	0.0671402
sushi	0.0670556
restaurant	0.0669191
tasting	0.0665193
sit-down	0.065225
accommodation	0.0649964
gourmet	0.0631362
soiree	0.0628353
fare	0.0626201
Hamburger	0.0625068
reception	0.0624714
tapa	0.0623018
taco	0.0617851
steak	0.0615009
cuisine	0.0614649
luncheon	0.0609074
dining	0.0606617
"dinner party"	0.0606084
"theater ticket"	0.0602513
cafe	0.0601483
lounge	0.0583654
"expense account"	0.0579127
refreshment	0.0577482
extravaganza	0.0558193
Entertainment	0.0554932
grill	0.0554322
"coffee shop"	0.0553581
champagne	0.0548566
wine	0.0544748
SPA	0.0541904
seating	0.0539644
diner	0.0537694
cocktail	0.0536056
cake	0.053415
burger	0.0530515
"dining room"	0.0528541
massage	0.0525419
concert	0.0522505
eats	0.0519264
gala	0.0517564
"dining area"	0.0517108
emporium	0.0514699
"jam session"	0.0514581
serving	0.0513867
bread	0.0509407
tea	0.0507604
pasta	0.0507313
Lasagna	0.0502563
Burrito	0.0500309
pie	0.0495245
decor	0.049408
pancake	0.0493368
wedding	0.0487984
raffle	0.0484189
festivity	0.0482461
deli	0.0480663
Seder	0.047914
patio	0.0476423
gathering	0.0473096
recipe	0.0472085
plate	0.0470014
suite	0.0469267
teahouse	0.0468646
"game room"	0.0468265
grub	0.0467763
cooking	0.0465596
soup	0.0463353
"skating rink"	0.0457118
bath	0.0456437
"truck stop"	0.0454382
attraction	0.0453732
"rock concert"	0.0452382
firework	0.0452036
seafood	0.045078
"St. Patrick's Day"	0.0449943
"grocery store"	0.0446744
socializing	0.0446386
catalog	0.0446281
amenity	0.0445464
landscaping	0.0444829
"hot dog"	0.0444242
"movie theater"	0.0443845
bakery	0.0443342
sausage	0.0441184
"art gallery"	0.0440686
bash	0.0439495
pub	0.043844
pavilion	0.0435792
Bingo	0.0435729
getaway	0.0433939
burgers	0.0433034
"poker game"	0.0432967
spas	0.0431664
bottle	0.0431459
tavern	0.0431356
recreation	0.0429713
"main course"	0.0428141
Beer	0.0427964
beverage	0.042758
coffee	0.0427532
fund-raiser	0.0426759
takeout	0.0425813
supermarket	0.042534
eating	0.0425018
ballroom	0.0424673
"gift shop"	0.0423807
sauna	0.0423391
booth	0.0422389
eateries	0.0421971
chicken	0.0421514
excursion	0.0421185
parlor	0.042108
gumbo	0.0418843
presentation	0.0417397
bargain	0.0415041
"swimming pool"	0.0414532
nightclub	0.0414449
lecture	0.0414303
inn	0.0414232
"news show"	0.0414213
Fondue	0.0412967
Brasserie	0.0412891
subscription	0.0411664
Diet	0.041151
assortment	0.0410966
disco	0.0409827
vegetarian	0.0409703
"recreational facility"	0.0408087
screening	0.0408017
enchilada	0.040696
parking	0.0406898
Martini	0.040664
delicacy	0.0405847
hangout	0.04057
ritual	0.040362
Casino	0.0403386
arcade	0.040275
kitchen	0.0402204
"dance hall"	0.040206
))
(Buffett (desc 5659.06) (sims
"Warren Buffett"	0.110953
Soros	0.102821
Icahn	0.09134
Perelman	0.0867896
McCaw	0.0854929
Berkshire	0.0821154
Springsteen	0.0785541
Greenspan	0.0773134
D'Alessandro	0.0773109
Alatas	0.076905
Murdoch	0.0761958
Softbank	0.0757885
Phish	0.0752439
Iglesias	0.0750042
Crenshaw	0.0738853
Zuckerman	0.0726682
Ebbers	0.0718879
CMGI	0.0718755
Reilly	0.0707807
AIG	0.0687962
Ovitz	0.0686482
Sampson	0.0686477
Lemieux	0.068487
Pearson	0.0681793
Bucaram	0.0676417
Galvin	0.0674592
TYCO	0.067041
Ballmer	0.0668625
McCurry	0.0662192
Friedman	0.0659988
Milutinovic	0.065864
Farley	0.0649854
Manson	0.064932
Gullikson	0.0644532
Levine	0.0644096
Cramer	0.0643863
Mann	0.064207
Willes	0.0641419
Greenwald	0.0641294
Tomey	0.0640143
"Burt Bacharach"	0.0637829
Osborne	0.0635277
Setzer	0.0634489
Arnault	0.0634299
Finkel	0.0631453
Gould	0.063123
Gauthier	0.0629971
Dylan	0.062699
Selig	0.0623333
Chadwick	0.0622061
Schell	0.0620941
Conroy	0.0619252
Ellington	0.06192
Berezovsky	0.0619134
Wolfensohn	0.061877
Ruggiero	0.0618352
Kerr	0.0611887
DiCicco	0.0608998
Pollack	0.0608403
Silverstein	0.0607757
Arum	0.0607466
Guthrie	0.0606704
Kaplan	0.0602301
SFX	0.0600272
Snyder	0.0599817
"Spice Girls"	0.059971
Wahid	0.0597576
"News Corp."	0.0592362
Newman	0.0592154
Newhouse	0.0590667
Yoakam	0.0587296
Marley	0.0586983
Matthews	0.0584177
Demaci	0.0584173
Weisman	0.0583848
CMG	0.0583589
Sobel	0.0583172
Spielberg	0.0581421
BellSouth	0.0581366
Seagram	0.0580627
Torricelli	0.0578462
Daley	0.057825
Hatfield	0.0577022
Levin	0.0575718
"BP Amoco"	0.0574277
Schmid	0.0573077
Sondheim	0.0572762
McKesson	0.0572615
McNamara	0.0572322
Ivester	0.0572309
Goldstein	0.057157
Khamenei	0.0571487
Gusinsky	0.0570078
Parsons	0.0570018
Hanson	0.05697
McDonald	0.0568313
Vedrine	0.0567033
Katzenberg	0.0566878
Cowan	0.0566323
Blackwell	0.0564846
"Jimmy Buffett"	0.0564807
Hackett	0.0564387
Bowden	0.0564184
Bowie	0.0563805
Atwood	0.0561887
Fong	0.0561473
Gillespie	0.0561383
Pearce	0.0561147
Greenberg	0.0560189
Rowe	0.0558466
Walsh	0.0558139
Lim	0.055704
RJR	0.0555632
Hickman	0.0555343
Husseini	0.0554867
Nickerson	0.0554402
Sinatra	0.0553196
Ferrer	0.0552304
McCartney	0.0551959
Weizman	0.0551952
Baum	0.0551589
Baird	0.0551492
Janssen	0.0551461
Vogel	0.0550217
Dion	0.0549982
burrows	0.0549772
UAM	0.0549526
McGuire	0.054909
Solis	0.0548236
Fassel	0.0548007
Brooks	0.054734
TALBOT	0.0546484
Aetna	0.0544952
Roski	0.0544933
Zarb	0.054471
Bergeron	0.0544684
Payne	0.0544557
"Bruce Springsteen"	0.0543582
Cohen	0.0543412
Midler	0.054329
R.E.M	0.0542929
Henley	0.0542712
"Ayatollah Ruhollah Khomeini"	0.054241
Wetherell	0.0542242
Ratner	0.0542162
Narayanan	0.0542145
"Motorola Inc."	0.0541747
Farrakhan	0.0540691
Hendrix	0.0540624
Reiner	0.0540289
Weil	0.0539214
Shapiro	0.0538292
Sullivan	0.0537585
Prewitt	0.0537446
prentice	0.0537235
Macdonald	0.0535849
Holtz	0.0535621
Daniels	0.0534972
Clifford	0.0534683
Duffy	0.053455
Cunningham	0.0534486
Ingram	0.0534133
Duquette	0.0533305
Cisco	0.0533148
Waddell	0.053306
Celestine	0.0531829
Raitt	0.0531667
Gershwin	0.0531552
McKinnon	0.0531048
Goldberg	0.0530311
Ellison	0.0530107
Paxson	0.0529957
Spurrier	0.0529858
Lindner	0.0529796
AMR	0.0529683
Mustafa	0.0528246
Ciampi	0.0528005
Renault	0.0527914
turner	0.0527886
Harvey	0.0527757
Meriwether	0.0527651
Yosef	0.052746
Dixon	0.0527198
Shatner	0.0527104
McLachlan	0.0526562
Wolfe	0.0526213
"National Grid"	0.0526134
Leahy	0.0525811
Gaston	0.0525502
Neff	0.0524894
Fischer	0.0523978
Keating	0.0523258
Coelho	0.0523031
Merrill	0.0522795
Belo	0.0522746
Herzog	0.0522599
Jovanovic	0.0522424
Motorola	0.0522282
Showalter	0.0521744
Freedman	0.0521288
))
(buffoon (desc 3070.83) (sims
idiot	0.0936516
whiner	0.084972
lout	0.0843207
"traveling salesman"	0.0807083
bigot	0.0806837
jerk	0.0778763
scoundrel	0.0763317
liar	0.0734175
grownup	0.0704399
"bad guy"	0.0680599
slob	0.0677632
"good person"	0.0677489
goofball	0.066089
nonentity	0.0650541
"draft dodger"	0.0649951
obstructionist	0.0646996
rascal	0.0642069
hillbilly	0.0635442
autocrat	0.0633397
weatherman	0.0632149
drunk	0.0626177
choirboy	0.0620891
egghead	0.0608982
opportunist	0.0608704
cipher	0.0606619
"numbers game"	0.0603738
wimp	0.0597812
thug	0.0597467
lunatic	0.0571177
moralist	0.056149
"important person"	0.055859
maniac	0.0545865
"big leaguer"	0.0544491
non-factor	0.0540078
hypocrite	0.0538547
DEADBEAT	0.0534831
moron	0.0534526
taskmaster	0.0532784
coward	0.0526598
rube	0.0524887
sociopath	0.0523005
interloper	0.0522266
"trial balloon"	0.0518163
oppressor	0.0516146
junkie	0.0515605
aberration	0.0515183
realist	0.0512993
rogue	0.0509109
has-been	0.050409
clown	0.0503768
twit	0.0498818
copout	0.0498542
"police sergeant"	0.0495301
technocrat	0.0491848
tyrant	0.0491491
newspaperman	0.0488937
magician	0.0486469
pragmatist	0.0484969
geek	0.0484454
brat	0.0481161
CAD	0.0480905
villain	0.0477365
"hard worker"	0.0476673
"con man"	0.0472066
trimmer	0.047177
savior	0.0470529
hippie	0.0466962
neurotic	0.0466331
"black person"	0.0465062
cheater	0.0464835
"lame duck"	0.0457387
lawman	0.0456474
overachiever	0.0452571
bitch	0.044685
screamer	0.0446239
"femme fatale"	0.0441941
"guitar player"	0.0441798
nitwit	0.0441338
despot	0.0435555
soulmate	0.0435161
misfit	0.0433611
goofiness	0.0432895
isolationist	0.043252
minus-@	0.0430547
stooge	0.042945
screwball	0.0429315
handicapper	0.042928
outcast	0.0428801
boob	0.0426337
spoiler	0.0424105
womanizer	0.0422877
"major leaguer"	0.0422664
underachiever	0.0421522
crowd-pleaser	0.041871
aggressor	0.0418436
knucklehead	0.0417092
superheroes	0.0416611
ideologue	0.0416298
Scrooge	0.041558
fella	0.0415544
philosopher	0.0414182
"waiting game"	0.0413761
preachy	0.0412054
protector	0.0411492
statesman	0.0410931
"Luke Skywalker"	0.0409891
Grinch	0.040989
troublemaker	0.0409584
geezer	0.040781
monopolist	0.0407708
"trump card"	0.0406908
debater	0.0406879
aristocrat	0.0406871
bloomer	0.0406703
ingenue	0.0406355
"parlor game"	0.0405882
"old hand"	0.040426
sinner	0.0403739
"professional golfer"	0.0403726
critters	0.0403372
"risk taker"	0.0403232
bum	0.0403104
schtick	0.0402637
proactive	0.0402293
"attack dog"	0.0402021
contrarian	0.0401893
"sour grapes"	0.0400617
psychopath	0.0400242
))
(Buffy (desc 11174.3) (sims
"Law &AMP; Order"	0.147982
"Ally McBeal"	0.146578
Felicity	0.133687
"South Park"	0.128729
"Star Trek"	0.127473
"Vampire Slayer"	0.12397
E.R	0.122308
"Melrose Place"	0.119613
Dawson	0.115633
Frasier	0.114594
Simpsons	0.111232
er	0.110213
Moesha	0.109542
"Spin City"	0.10924
Seinfeld	0.109227
"NYPD Blue"	0.108835
X-Files	0.102502
"Everybody Loves Raymond"	0.0970531
"Third Watch"	0.0954021
Sabrina	0.0946662
"Nash Bridges"	0.0935504
"West Wing"	0.0918249
"Sports Night"	0.0891484
"Will &AMP; Grace"	0.0891136
"The Sopranos"	0.0879721
"Chicago Hope"	0.0862832
"Sesame Street"	0.0862684
"Family Guy"	0.0850897
"Brady Bunch"	0.084699
"Murphy Brown"	0.0831229
"Drew Carey Show"	0.0826601
Baywatch	0.081699
"Love Boat"	0.081522
"Home Improvement"	0.0799839
sitcom	0.0775003
"Politically Incorrect"	0.0759902
"Twin Peaks"	0.0755827
"Twilight Zone"	0.0753267
mash	0.075295
Rugrats	0.0751624
Roswell	0.0751259
Futurama	0.0742364
"Suddenly Susan"	0.0739185
Teletubbies	0.0727676
"Cosby Show"	0.0724342
"Night Live"	0.0720637
soprano	0.0715555
Malcolm	0.071335
"Mary Tyler Moore Show"	0.0706668
"Big Brother"	0.0676634
"Larry Sanders Show"	0.066749
"Jerry Springer"	0.0624118
"Jerry Springer Show"	0.0622624
Cosby	0.0608326
Dilbert	0.0593461
Dharma	0.0591906
"Who Wants"	0.0580873
Creek	0.0574802
"Fantasy Island"	0.0562773
WB	0.0556571
pimpernel	0.0554666
Xena	0.0553132
SportsCenter	0.0551676
"situation comedy"	0.0545119
Roseanne	0.0541702
"Dharma &AMP; Greg"	0.053824
"Ryan Phillippe"	0.0530301
"game show"	0.0529938
"Charlie Brown"	0.0527024
"television show"	0.0524956
"Next Generation"	0.0524823
"Star Wars"	0.0523907
"Late Show"	0.0522868
Ellen	0.0520994
"TV show"	0.0512753
freak	0.0512378
"Inside Edition"	0.0510617
Jesse	0.0505374
"Toy Story"	0.049918
"Beverly Hills"	0.0498746
"Lone Ranger"	0.0483685
serial	0.0483666
X-MEN	0.0481973
Superman	0.0478396
Barney	0.0476644
"Austin Powers"	0.0476352
cliffhanger	0.0474845
Archie	0.0474428
jag	0.047308
"soap opera"	0.047271
lassie	0.0471806
"Cruel Intentions"	0.0467228
honeymooner	0.0466141
"Drew Carey"	0.0465619
"American Beauty"	0.0465508
Slayer	0.0464681
Falcone	0.0463899
Quinn	0.0459552
CBs	0.0455946
"Jekyll and Hyde"	0.0454711
Dolittle	0.0454473
Cupid	0.0453578
"Happy Days"	0.0443804
Tarzan	0.0443594
"Dateline NBC"	0.044343
C-Span	0.044101
"Comedy Central"	0.0440525
Oprah	0.0439047
"Lethal Weapon @"	0.043904
wonderland	0.0436209
Nickelodeon	0.0432106
snoop	0.0427806
Beavis	0.042608
"Howdy Doody"	0.0423119
"Get Real"	0.0422538
"Princess Mononoke"	0.0422322
hourlong	0.041871
Arthur	0.0416326
"Jerry Maguire"	0.0415404
Charlie	0.0415219
"James Bond"	0.0414953
rocky	0.041475
"Forrest Gump"	0.0412116
Ronin	0.0411795
operetta	0.0411499
Pleasantville	0.0408734
Spenser	0.0408645
Phish	0.040786
NewsHour	0.0406728
"Eyes Wide Shut"	0.0405148
Selena	0.040433
Pokemon	0.0404206
heaven	0.0404126
"picket fence"	0.0403483
))
(Buford (desc 3061.81) (sims
Rolen	0.122992
Glaus	0.116692
Vidro	0.115889
Agbayani	0.111907
Bordick	0.110544
Caminiti	0.109297
Lankford	0.108347
Valentin	0.105773
Renteria	0.101817
Leyritz	0.101367
Alicea	0.0995425
Karros	0.0977975
Burks	0.097523
Furcal	0.0966156
Alfonzo	0.0959656
Baerga	0.0954922
"Jason Varitek"	0.0937051
"John Valentin"	0.0932812
McRae	0.0932203
Guzman	0.0922723
"Darin Erstad"	0.09226
Canseco	0.0921285
Lieberthal	0.0917116
Erstad	0.0910551
Bichette	0.0900174
"Nomar Garciaparra"	0.0899659
Offerman	0.0893854
Elster	0.0892312
Batista	0.088922
Daubach	0.0885139
Thome	0.0881546
Garciaparra	0.0881011
Knoblauch	0.0874778
Fryman	0.0874732
Jeter	0.0871586
Merloni	0.0869857
"Marquis Grissom"	0.0860872
DeShields	0.0857904
Olerud	0.0857199
Huskey	0.0857041
Brogna	0.0853984
Ramirez	0.0853724
"Scott Brosius"	0.0853228
Giambi	0.0853158
Zeile	0.0843633
Catalanotto	0.0839795
Ordonez	0.0838501
Veras	0.0822437
"Troy O'Leary"	0.0822011
McLemore	0.0820073
"Deivi Cruz"	0.0812146
Varitek	0.0806648
Dunwoody	0.080295
"Troy Glaus"	0.0800775
Alomar	0.0799163
Lawrenceville	0.0798092
"Darren Lewis"	0.0793462
"Brian Hunter"	0.0792049
Gatling	0.0791996
"Adrian Beltre"	0.0790632
Cedeno	0.0790329
"John Olerud"	0.0789308
"David Bell"	0.0785557
Abreu	0.0781136
Gilkey	0.0780978
Higginson	0.0779231
Womack	0.0777009
"Tim Salmon"	0.0774716
Fullmer	0.0771774
Vizquel	0.0770263
O'Leary	0.0769543
Bragg	0.0769391
Grudzielanek	0.0768928
Segui	0.0768485
Velarde	0.0768424
"Adam Kennedy"	0.0767355
Hatteberg	0.0767237
"Mike Stanley"	0.0764648
"Ron Coomer"	0.0764041
Larkin	0.076378
Spiers	0.0762145
"Travis Fryman"	0.0760588
"Scott Rolen"	0.0760168
Surhoff	0.0754836
Cirillo	0.0751708
Mondesi	0.0750273
"Trot Nixon"	0.0748238
"Cliff Floyd"	0.0746592
"Omar Vizquel"	0.074574
"Jim Edmonds"	0.0741652
"Jim Thome"	0.0741548
"Ozzie Guillen"	0.0740328
"Dmitri Young"	0.0737504
"Randy Velarde"	0.0737449
Sexson	0.073582
"Kevin Young"	0.0734811
"Eric Karros"	0.0734767
Cabrera	0.0734271
"Marvin Benard"	0.0732025
Beltre	0.0730022
Castilla	0.07293
"Miguel Cairo"	0.0728705
McGriff	0.0728063
"Cristian Guzman"	0.0725981
"Joey Cora"	0.0724635
"Ken Caminiti"	0.0724401
Brosius	0.0720227
"Reggie Sanders"	0.0718076
Everett	0.0717254
"Andy Fox"	0.0717244
"Mark Loretta"	0.0715134
"Pat Burrell"	0.0713735
"Kirk Gibson"	0.0711309
"Bobby Higginson"	0.0709393
"Matt Franco"	0.0709055
"Ron Gant"	0.0708843
Boggs	0.0708441
Burnitz	0.0707988
"Luis Alicea"	0.0707727
Ledee	0.0706571
Greer	0.0705483
"Harold Baines"	0.0705082
Randa	0.0703986
"A.P Indy"	0.0703799
Palmeiro	0.0702334
Chamblee	0.0701328
"Jay Bell"	0.0701163
"Joe McEwing"	0.0700185
"Brian Jordan"	0.0700017
"Tom Goodwin"	0.069929
"Damian Miller"	0.0698961
"Fernando Vina"	0.0697944
Mora	0.0697297
Dunston	0.0697234
"Bobby Abreu"	0.069626
Loretta	0.0694363
"Kenny Lofton"	0.0694005
"Phil Nevin"	0.0691598
Trammell	0.0690996
Vaughn	0.0690441
"Rickey Henderson"	0.0690293
"Vladimir Guerrero"	0.0690068
"Warren Morris"	0.06896
Ripken	0.0689116
Nevin	0.0687727
"Derrek Lee"	0.0686677
Klesko	0.0686502
"Richie Sexson"	0.0686385
"Damon Buford"	0.0685629
"Jose Hernandez"	0.0684937
Gwynn	0.0683812
"Al Martin"	0.0683159
Cameron	0.0682532
Bagwell	0.0682246
"Andruw Jones"	0.0681292
"John Vander Wal"	0.068129
Galarraga	0.0679817
"Sandy Springs"	0.0679395
"Fred McGriff"	0.0678426
"Todd Zeile"	0.0676486
Delgado	0.0676383
Guillen	0.0675678
Beltran	0.0675064
Aurilia	0.0673353
"Mike Benjamin"	0.0672574
Hidalgo	0.0671378
"Kevin Stocker"	0.0670936
"Eric Young"	0.0667035
Piazza	0.0666255
DiSarcina	0.0665435
"Jay Payton"	0.0665035
"Roger Cedeno"	0.0664571
"Edgardo Alfonzo"	0.0663634
"Scott Spiezio"	0.066335
"Carlos Beltran"	0.0660985
Glanville	0.0660946
Dellucci	0.0660187
"Danny Bautista"	0.06599
"Russ Davis"	0.0659691
Lampkin	0.0658995
"Bill Mueller"	0.0658763
Hundley	0.0656338
"Jose Offerman"	0.0653847
Lofton	0.0653234
"Lance Johnson"	0.0650391
Samuelson	0.0650281
Graziani	0.0650041
"Jose Canseco"	0.0649094
Helton	0.0648494
Biggio	0.0646601
Ausmus	0.0646023
"Moises Alou"	0.0645156
"Chuck Knoblauch"	0.064484
"Craig Biggio"	0.0643875
Lugo	0.0643721
Tucker	0.0642829
Clement	0.0642295
"Todd Pratt"	0.0640328
Tejada	0.0639994
Boone	0.0639553
))
(bug (desc 60632.3) (sims
glitch	0.183108
virus	0.174891
insect	0.162304
Y@K	0.157846
bacteria	0.140228
mosquito	0.131041
disease	0.127177
pest	0.120267
worm	0.117122
flaw	0.112417
"Year @@@@"	0.111972
microbe	0.108652
problem	0.107198
parasite	0.107059
HIV	0.104638
beetle	0.103074
epidemic	0.101162
infection	0.101015
germ	0.100496
flu	0.0978732
contamination	0.0966493
snake	0.096009
rat	0.0923963
ant	0.0920433
cockroach	0.0897292
bird	0.0893204
defect	0.0888034
bacterium	0.0875943
turmoil	0.0868879
fungus	0.0864706
spider	0.0861081
disruption	0.0860604
tick	0.0856984
weed	0.0850091
disaster	0.084641
rodent	0.0838656
"AIDS virus"	0.0828036
pollution	0.0824255
outbreak	0.0814257
illness	0.0796314
cancer	0.0796152
shortage	0.079431
locust	0.0791458
chemical	0.0786753
termite	0.0782496
flood	0.0782327
terrorism	0.0770205
drought	0.0765304
malfunction	0.0763943
leak	0.076341
strain	0.075669
organism	0.0756304
pathogen	0.0753638
flea	0.0749884
crises	0.0746128
creature	0.0743019
mite	0.074136
breakdown	0.0740591
phenomenon	0.0739891
animal	0.0734051
critters	0.0729914
crisis	0.0728087
drug	0.0725652
Gene	0.0720528
"fire ant"	0.0716315
instability	0.0715043
earthquake	0.0713128
hacker	0.0711581
violence	0.0710597
syndrome	0.0707966
"economic crisis"	0.070471
HIV/AIDS	0.0704464
moth	0.0703815
downturn	0.0703678
malaria	0.0702149
mice	0.0700238
Dinosaur	0.0698447
polio	0.069705
corruption	0.0693676
woe	0.069108
storm	0.0690734
disorder	0.0689852
CAT	0.0689306
exposure	0.0686247
hurricane	0.0683749
crime	0.0682491
slowdown	0.0677288
trouble	0.067569
racism	0.0675686
fish	0.0672461
dog	0.0671362
microorganism	0.0671335
spill	0.0671049
weather	0.0669004
catastrophe	0.0668698
threat	0.0667118
injury	0.0665439
error	0.066491
mutation	0.0663331
cold	0.0660908
pandemic	0.065949
lizard	0.0658514
effect	0.065808
conflict	0.0657957
pesticide	0.0657908
failure	0.0657894
fever	0.0656169
ailment	0.0655159
tumor	0.0653633
monster	0.0653298
Melissa	0.0651773
"side effect"	0.0651018
scandal	0.064958
recession	0.0649104
"land mine"	0.0647665
contagion	0.0646163
dust	0.0642492
anthrax	0.064216
Roach	0.064045
poverty	0.0639607
Lice	0.063564
fluctuation	0.063521
demon	0.0634426
damage	0.0633916
tuberculosis	0.0633532
fallout	0.0632891
hunger	0.0630755
encephalitis	0.0628154
weakness	0.0627406
predator	0.062672
toxin	0.0626684
stress	0.06255
"air pollution"	0.0623265
"hepatitis B"	0.0621954
monkey	0.0621653
meltdown	0.0621083
symptom	0.0618921
frog	0.0618374
"forest fire"	0.0617989
"West Nile"	0.0617887
hazard	0.0614567
specie	0.0614521
"health problem"	0.0611555
millennium	0.0611145
famine	0.0610417
scourge	0.0610189
delay	0.0609941
accident	0.0608353
smallpox	0.060814
calamity	0.0607175
abuse	0.06064
cholera	0.0603739
danger	0.0603414
shark	0.0602728
deficiency	0.060228
bee	0.0600258
"El Nino"	0.0600199
devaluation	0.059987
scorpion	0.0598918
consequence	0.0598244
grasshopper	0.0597484
amphibian	0.0596049
impact	0.0595026
unrest	0.0594725
type	0.0594688
asteroid	0.0594255
asbestos	0.0591516
uncertainty	0.0591159
erosion	0.059111
"infectious disease"	0.0590636
fraud	0.0590297
challenge	0.0589967
smoking	0.0589616
inflation	0.0588539
terrorist	0.0587955
diabetes	0.0584364
irregularity	0.0584308
noise	0.0584057
stuff	0.0583914
influenza	0.0583286
radiation	0.0582444
device	0.0581963
fungi	0.0581812
"colon cancer"	0.0579131
rollover	0.0577044
difficulty	0.0576548
turbulence	0.0576392
human	0.0575742
plague	0.0574905
thing	0.0574826
scare	0.0573066
piracy	0.0572268
Quake	0.0571985
cell	0.0570707
imbalance	0.0569776
Addiction	0.056943
substance	0.0569268
WASP	0.0568313
crunch	0.0565567
Tb	0.0565048
))
(bugaboo (desc 1224.06) (sims
hackle	0.0684055
axiom	0.0655025
"Achilles' heel"	0.0624752
breadwinner	0.0616137
"key rate"	0.0586621
canard	0.0573019
motivator	0.0563876
"drawing card"	0.0542522
funders	0.0538433
emitter	0.0533397
gripe	0.0532291
"benefit program"	0.0529054
antagonist	0.0523156
"Trojan Horse"	0.051752
"line of business"	0.0517519
laggard	0.051261
"computer language"	0.0502954
"bank rate"	0.0499867
"borrowing cost"	0.0495509
wage-earner	0.0490862
"rule of thumb"	0.0488322
portent	0.0483644
"treasure chest"	0.0483514
scriptwriter	0.0482912
"staff officer"	0.048226
demonization	0.0481666
"steam locomotive"	0.0481486
"white elephant"	0.0477199
"Canadian province"	0.0473974
Commissar	0.0470321
"tax change"	0.0467517
meatpackers	0.0466857
aphorism	0.046627
"morale booster"	0.0464578
chipmakers	0.046303
guidepost	0.0457051
"drama critic"	0.0456693
underwriter	0.0454585
"numbers game"	0.0453731
"rat race"	0.0449942
"hole in the ground"	0.0442043
crock	0.0440214
Legos	0.0439905
"ballpoint pen"	0.0439384
pluses	0.0437489
"gathering place"	0.0437481
ifs	0.0434194
"investment house"	0.0433625
storyline	0.0431818
vertebrate	0.0429345
breadbasket	0.0426296
"partner in crime"	0.0422102
verity	0.0421954
"rescue equipment"	0.0419983
proverb	0.0416264
"mushroom cloud"	0.0415087
"hunting ground"	0.0412509
merchandiser	0.0411803
caprice	0.0407963
"financial officer"	0.040776
"bricks and mortar"	0.0407357
Truism	0.0405456
"transport ship"	0.0405252
locution	0.0401468
exploiter	0.0401162
misperception	0.0400554
))
(Buggy (desc 5242.97) (sims
sleigh	0.153553
carriage	0.0959018
rickshaw	0.0850025
chariot	0.0839479
cart	0.0838117
hearse	0.0830825
Tram	0.0821271
wagon	0.0812223
sled	0.0767147
locomotive	0.0766198
trolley	0.0762941
Aprilia	0.0753342
jeep	0.0725939
tractor	0.0709826
Motorcycle	0.0700671
"Subaru Impreza"	0.0672373
"pickup truck"	0.0671598
tricycle	0.0670353
Corolla	0.0666765
Porsche	0.0663995
"garbage truck"	0.0660339
bicycle	0.0653701
"Land Cruiser"	0.0641045
mule	0.0638479
bike	0.0638116
skateboard	0.0633043
"personnel carrier"	0.0629637
mini-vans	0.0627583
limousine	0.0623843
minibuses	0.0620961
"race car"	0.0619711
snowmobile	0.0619257
van	0.0617775
moped	0.0615581
tractor-trailers	0.060969
motorbike	0.0602115
taxi	0.0600629
"fire truck"	0.0599096
"shuttle bus"	0.0592825
mower	0.0588321
scooter	0.0587118
SUV	0.0583993
"golf cart"	0.0580638
Stagecoach	0.0578291
"squad car"	0.0574336
minivan	0.0566895
snowplow	0.0566514
trailer	0.0565844
watercraft	0.0565405
"shopping cart"	0.0557693
"school bus"	0.0555557
RVs	0.0554572
"tractor trailer"	0.0554385
Pony	0.0544761
oxen	0.054215
convertible	0.0541969
semitrailer	0.0538825
Yamaha	0.0538164
"Jeep Cherokee"	0.0532178
Honda	0.0532113
Sedan	0.0530956
Ambulance	0.0528764
"cable car"	0.0525204
lorry	0.0523003
"passenger car"	0.0521153
forklifts	0.0520795
"fire engine"	0.0519132
Dumpsters	0.0518898
SUVs	0.0517856
"Chevrolet Suburban"	0.0515736
Limo	0.0514951
"patrol car"	0.0511386
gelding	0.0509296
"mountain bike"	0.0507357
"police car"	0.0506023
"motor vehicle"	0.0503584
"water pump"	0.0501707
"Mercedes Benz"	0.0501028
barge	0.0495156
Mercedes	0.0494634
Peugeot	0.0493857
"lawn mower"	0.0492639
"Ford Explorer"	0.0488278
burro	0.0487487
"army tank"	0.0486362
"Ford Escort"	0.0480076
"Running Stag"	0.0479606
"sports car"	0.0474441
"hot-air balloon"	0.0472112
hatchback	0.047163
"police van"	0.0470635
minivans	0.0469418
"trash can"	0.0468982
"railway car"	0.0466104
Humvees	0.0462443
"Stephen Got Even"	0.0460634
sport-utility	0.0460443
Cruiser	0.0459808
BMWs	0.0457883
Buss	0.0457246
sailboat	0.045585
donkey	0.0453745
wheelbarrow	0.0451692
taxicab	0.0448487
gondola	0.0446334
"mobile home"	0.0444818
antsy	0.0443475
"city bus"	0.0441474
coaster	0.0441426
chairlift	0.0441256
raft	0.0441238
Streetcar	0.0440207
Ducati	0.0439019
"station wagon"	0.0436218
camel	0.0435161
"artillery unit"	0.0434329
cab	0.0432558
"Lincoln Town Car"	0.0428932
"stock car"	0.0428795
"Ford Taurus"	0.0427825
"dump truck"	0.0427325
harder	0.0427266
canoe	0.0426151
divot	0.0425596
Lexus	0.0424659
Desormeaux	0.0424332
shack	0.0421107
"racing car"	0.0420233
Adonis	0.0419155
merry-go-round	0.041822
kayak	0.041795
harvester	0.0417646
Bonnet	0.0417343
minibus	0.0415165
coattail	0.0414231
labor-intensive	0.0414029
"space capsule"	0.0413845
camper	0.0412819
cows	0.0412729
lifeboat	0.0409263
"numbers game"	0.0408949
rowboat	0.0407033
yacht	0.0404346
"electric car"	0.0404168
"Jeep Grand Cherokee"	0.0400601
horseback	0.0400505
))
("Bugs Bunny" (desc 2950.64) (sims
"Donald duck"	0.165606
"road runner"	0.103074
"Mickey mouse"	0.0957281
Bullwinkle	0.0924834
"Snow White"	0.0778724
Superman	0.0764477
Batman	0.0736047
"Santa Claus"	0.0725495
"Joe Camel"	0.0679568
Yoda	0.0655575
Fubu	0.0648689
Spider-Man	0.0610482
"Peter Lynch"	0.0604506
"Marilyn Monroe"	0.0604127
Sylvester	0.0599621
"James Dean"	0.0592633
"Dudley Do-Right"	0.0590162
Kermit	0.0586106
Popeye	0.0583095
Roadrunner	0.0580038
Flintstone	0.0567026
talkie	0.0562497
kiddie	0.0559108
Smokey	0.0555037
"Hello Kitty"	0.0548062
"South Park"	0.0547388
Dilbert	0.0539261
"Mary Pickford"	0.0532289
"Larry Sanders Show"	0.0527236
"Uncle Sam"	0.0526961
Berle	0.0516061
Teletubbies	0.051531
Winnie	0.0514386
"Elvis Presley"	0.0506346
"Dirty Bird"	0.0504594
"Jerry Garcia"	0.0503207
Simpsons	0.0499942
"Family Guy"	0.0490302
"Warner Brothers"	0.04865
"Melrose Place"	0.048211
"Dolce &AMP; Gabbana"	0.0474561
"Toy Story"	0.0474371
Pooh	0.0472857
shamrock	0.0470178
Pokemon	0.0466873
Cher	0.046664
"Frank Sinatra"	0.0464105
"Charlie Brown"	0.0459306
"Buster Keaton"	0.045899
"Willie Nelson"	0.0455536
"Sam Adams"	0.0450682
"Mary Slaney"	0.0449714
"Mona Lisa"	0.0449398
"Wayne Gretzky"	0.044836
"Jack Nicholson"	0.044068
"Marlene Dietrich"	0.0437756
Furby	0.0436525
"Albert Einstein"	0.0435416
Elvis	0.0432557
"dollar sign"	0.0431851
superheroes	0.0431159
"Marx Brothers"	0.0426955
"Bing Crosby"	0.0425182
"Kirk Douglas"	0.0424164
"Diego Maradona"	0.0422317
"Jerry Springer"	0.0421975
"Twilight Zone"	0.0420223
"dust bowl"	0.0420135
"Love Lucy"	0.0418071
Sacagawea	0.0417943
Seinfeld	0.0417827
"Arnold Schwarzenegger"	0.0417548
"Bob Marley"	0.0415197
"Larry Bird"	0.0414653
"Paul Newman"	0.0412187
flopping	0.0411059
adidas	0.0409165
Baywatch	0.0408297
"Trey Parker"	0.0407746
"J. Peterman"	0.0401739
"Lethal Weapon"	0.0401382
))
(Buhe (desc 2137.03) (sims
"Wu Jieping"	0.458135
"Tian Jiyun"	0.396095
"Zhang Wannian"	0.380652
"Wang Guangying"	0.374431
"Zou Jiahua"	0.344237
"Qian Weichang"	0.327573
"Wan Guoquan"	0.321263
"Liu Huaqing"	0.320688
"Zhou Guangzhao"	0.316354
"Wang Hanbin"	0.314722
"Wang Zhaoguo"	0.309407
"Cheng Siwei"	0.30253
"Jiang Chunyun"	0.282413
"Lu Ping"	0.262441
"Song Jian"	0.258102
"Maung Aye"	0.244833
"Chen Muhua"	0.244596
Fuling	0.243867
"Cao Zhi"	0.243546
Luli	0.238051
"Chi Haotian"	0.237577
"Lei Jieqiong"	0.224693
"Qian Zhengying"	0.22073
"Cheng Kejie"	0.199943
"Peng Peiyun"	0.190957
Kasoulides	0.189087
Zou	0.179442
Rong	0.178957
Abdel-Meguid	0.15607
Azad	0.155125
Meguid	0.153062
Tian	0.14968
Stoyanov	0.148407
Qiao	0.147182
"Hu Jintao"	0.139078
Ikimi	0.137469
Guterres	0.137315
Ruehe	0.137153
"de Charette"	0.136552
Komura	0.134997
"Luo Gan"	0.134082
Moratinos	0.134022
Granic	0.133111
"Qiao Shi"	0.132684
Jayakumar	0.131729
Sumaye	0.131434
"Li Ruihuan"	0.131433
Chi	0.130754
Phieu	0.129737
Shareh	0.127841
Brittan	0.125229
Chissano	0.124374
"Tin Oo"	0.12383
Rifkind	0.120699
Pustovoitenko	0.120276
Ikeda	0.120036
Mkapa	0.119541
Shi	0.119418
"Li Peng"	0.119108
Constantinescu	0.117747
Rodionov	0.117576
Jia	0.117543
Shaath	0.117506
"Joseph Ralston"	0.117431
Vice-Premier	0.11674
Zeng	0.11662
Hu	0.116267
Ogata	0.114295
Luong	0.114007
Sahnoun	0.113377
"Wen Jiabao"	0.113013
Iliescu	0.112186
"Xiong Guangkai"	0.11119
Diouf	0.110764
"Jia Qinglin"	0.110703
Cheng	0.110151
Meles	0.110087
Nazarbayev	0.11004
Leghari	0.109133
"Wei Jianxing"	0.1084
Surin	0.108345
Nzo	0.107274
Cem	0.106486
Velayati	0.106281
Majali	0.105889
Luo	0.105775
"Secretary General Esmat Abdul-Meguid"	0.105754
wen	0.105725
Qian	0.105629
Cao	0.104911
Khaddam	0.104026
Pangalos	0.103488
Muluzi	0.103426
Kostov	0.103008
Siazon	0.102937
Bruton	0.10212
Tarawneh	0.101459
Kono	0.101146
Pickering	0.100606
Alatas	0.100235
Rawabdeh	0.10004
Xiong	0.100008
Xie	0.0992972
Tsang	0.0986454
"Marzuki Darusman"	0.0982765
Akayev	0.0980661
Karimov	0.0978753
Jovanovic	0.0975702
"Drought Relief Headquarters"	0.0975599
Boueiz	0.0973864
Dini	0.0970074
"Li Lanqing"	0.0965859
Gujral	0.0959753
Shamshad	0.0957719
Ganzouri	0.0957134
"Li Tieying"	0.0937706
"Red Auerbach"	0.0937246
Councillor	0.0935884
Kharrazi	0.093254
Klestil	0.092946
Kok	0.0929262
Ben-Ami	0.0927714
Muoi	0.0917604
Lipponen	0.0917584
Xanana	0.0916972
Severino	0.0912257
"Vo Van Kiet"	0.091188
Peng	0.0908791
Nujoma	0.0907734
Hrawi	0.0904328
Modise	0.0903846
"Dai Bingguo"	0.0902738
Saleh	0.0895495
Wolfensohn	0.0893622
Deuba	0.0893157
"Fu Quanyou"	0.0892923
Sampaio	0.0890664
Insulza	0.088583
"Secretary General Esmat Abdel-Meguid"	0.088435
Brahimi	0.0882913
Juncker	0.0882515
"Chen Ziying"	0.0881867
Vasile	0.0879961
Stroyev	0.0876003
Fu	0.0874688
Vollebaek	0.0873854
Frei	0.087163
Wei	0.08699
Fino	0.0867013
"Jacques Rogge"	0.0865493
Museveni	0.0864284
"Qian Qichen"	0.0864063
Wu	0.0857106
Scharping	0.0853807
al-Sahaf	0.0843924
Khai	0.0842863
Santer	0.0841292
Sergeyev	0.0834307
"Khin Nyunt"	0.0832408
"Wu Yi"	0.0829526
Xiang	0.0828951
Klima	0.0828054
Jing	0.0827599
"Than Shwe"	0.0827017
Shevardnadze	0.0825259
Zhu	0.0823431
Singson	0.0816448
Berri	0.0809295
Holl	0.0808534
al-Sahhaf	0.0807915
Bellamy	0.0807557
"King Sihanouk"	0.0807118
Zemin	0.0806817
"Bill Owens"	0.0805779
Tung	0.0802563
"Xie Zhenhua"	0.0802257
Axworthy	0.0800848
Ahtisaari	0.0799174
Leung	0.0795827
Niyazov	0.0793436
"De Soto"	0.0791799
"Lee Hsien Loong"	0.0791613
Hsu	0.0791424
Juma	0.0790899
Zhang	0.0788813
Kumaratunga	0.07879
Sponeck	0.07876
el-Ganzouri	0.0786666
Kwasniewski	0.0785057
Kato	0.0784648
"Ted Turner"	0.0783932
Chavalit	0.0783927
Rakhmonov	0.078091
Wang	0.0780765
Sha	0.07806
"Abidine Ben Ali"	0.0779662
Kabariti	0.0778979
Zuma	0.0777977
Xiao	0.0776992
Boutros-Ghali	0.0764435
))
(Buhner (desc 4383.66) (sims
"Edgar Martinez"	0.174987
"Jay Buhner"	0.169339
Segui	0.159778
Cordero	0.155339
Fullmer	0.150797
"David Segui"	0.150046
"Dan Wilson"	0.148147
"Russ Davis"	0.145993
Olerud	0.145308
Guillen	0.143527
Lankford	0.142926
"David Bell"	0.141325
"Alex Rodriguez"	0.14075
Fryman	0.138297
Lieberthal	0.137421
Brosius	0.136792
"John Mabry"	0.135968
Palmeiro	0.135761
Bordick	0.135654
Cirillo	0.13546
"Butch Huskey"	0.134847
Burnitz	0.133291
Rolen	0.133178
Higginson	0.13314
Alfonzo	0.132383
Bautista	0.130765
Hundley	0.129741
Griffey	0.129084
"John Olerud"	0.127512
"Matt Lawton"	0.126755
"Mickey Morandini"	0.126754
"Robin Ventura"	0.125099
Javier	0.124559
Glaus	0.124083
Frye	0.124081
Meares	0.123194
"Bruce Aven"	0.12318
Alicea	0.122125
"Damian Miller"	0.121927
Vidro	0.120908
Hollandsworth	0.120149
Karros	0.119826
"Manny Ramirez"	0.11967
Hidalgo	0.119226
Valentin	0.118892
"John Vander Wal"	0.118366
Delgado	0.118304
"Vladimir Guerrero"	0.118287
Ordonez	0.11814
Cora	0.117806
Rodriguez	0.117747
Huskey	0.116136
"Marvin Benard"	0.115889
"Eric Owens"	0.115867
Ripken	0.114922
Alomar	0.114642
Baerga	0.114275
Thome	0.113453
"Bill Spiers"	0.113173
Helton	0.113056
"Scott Spiezio"	0.112764
Alou	0.112526
"Rafael Palmeiro"	0.112293
"Bobby Higginson"	0.112141
Ledee	0.111835
"Benny Agbayani"	0.111794
Gilkey	0.111154
Dunston	0.111086
Spiers	0.110682
Biggio	0.110234
Kapler	0.109848
Brogna	0.109677
Erstad	0.109495
"Troy Glaus"	0.109487
"Jeff Conine"	0.109446
Agbayani	0.109119
"Mark Kotsay"	0.108908
Bonilla	0.108238
Daubach	0.107863
Tatis	0.107667
Sexson	0.107294
Hollins	0.106887
Vaughn	0.106797
"Tim Salmon"	0.106449
McRae	0.106421
"Ray Lankford"	0.106218
"Bobby Abreu"	0.106146
"Dean Palmer"	0.10586
Klesko	0.105568
"Raul Mondesi"	0.105235
Nevin	0.105179
McLemore	0.105175
grieve	0.104942
"Sean Casey"	0.104882
"Derek Bell"	0.104824
"Jeff Kent"	0.104744
Caminiti	0.104647
"Tony Gwynn"	0.104337
"Scott Brosius"	0.104219
DeShields	0.104084
"Rich Aurilia"	0.103912
Renteria	0.103857
"Gabe Kapler"	0.103593
Aurilia	0.103511
Garciaparra	0.103224
Bagwell	0.103156
Velarde	0.10265
"Bill Mueller"	0.102589
Canseco	0.102521
"Edgardo Alfonzo"	0.102439
"Russ Johnson"	0.102317
Bichette	0.102179
Burks	0.101943
"Mike Cameron"	0.1019
"Glenallen Hill"	0.101726
"Dante Bichette"	0.101663
Gwynn	0.101626
"Jay Bell"	0.101293
"Carlos Delgado"	0.100835
"Danny Bautista"	0.100609
Cedeno	0.100607
"Deivi Cruz"	0.100469
Lofton	0.100168
Knoblauch	0.0997516
"Travis Lee"	0.0997028
"David Ortiz"	0.0994566
Giambi	0.0992633
"Mark McLemore"	0.0990841
"Darin Erstad"	0.0990822
Lawton	0.0988641
"Jose Guillen"	0.0987083
Leyritz	0.0986558
Greer	0.0981754
"J.T Snow"	0.0981645
"Chris Widger"	0.0980898
Burrell	0.0980233
"Eric Karros"	0.0977759
"Dmitri Young"	0.0977612
Martinez	0.097727
"Brian Hunter"	0.0975673
"Darren Lewis"	0.096669
"Matt Stairs"	0.0966263
Dellucci	0.0964806
Jeter	0.0963159
"Gary Sheffield"	0.0963073
McGriff	0.0961186
Abreu	0.0956748
Zeile	0.0956288
Cabrera	0.0956191
"Warren Morris"	0.0950137
"Ozzie Guillen"	0.0949736
"Luis Alicea"	0.0948866
"Geoff Jenkins"	0.094773
Beltran	0.0946906
"Rickey Henderson"	0.0945488
"Mark Grace"	0.0942467
"Tino Martinez"	0.0940013
"Fred McGriff"	0.0939289
Vizcaino	0.093764
Beltre	0.0934267
Galarraga	0.0932947
"Paul Bako"	0.0930965
"Nomar Garciaparra"	0.0930037
"Brian Jordan"	0.0929837
"Juan Gonzalez"	0.0929056
Womack	0.0928605
"Richie Sexson"	0.0926868
Mora	0.0926534
"Matt Williams"	0.0926478
Glanville	0.0926073
Varitek	0.0925866
Boone	0.0925657
"Tom Goodwin"	0.0923644
"Eric Chavez"	0.0923353
"Ken Griffey Jr."	0.0922005
"Jason Giambi"	0.0921734
Ramirez	0.0920843
"Henry Rodriguez"	0.0920721
"Jose Canseco"	0.0920016
"Ricky Ledee"	0.0918901
"Barry Larkin"	0.0917959
Gant	0.0917947
"Mark Loretta"	0.0916295
Grudzielanek	0.0916088
"Jeff Bagwell"	0.0914561
"Damian Jackson"	0.0914041
"Johnny Damon"	0.0913773
"Karim Garcia"	0.0913128
Piazza	0.0913038
Everett	0.0910053
"Dave Martinez"	0.090879
"Stan Javier"	0.0908642
Offerman	0.0907415
"Alex Gonzalez"	0.0906426
DiSarcina	0.0906214
"Brian Giles"	0.0903427
Sosa	0.0899815
"Herbert Perry"	0.089977
"Orlando Palmeiro"	0.0899126
"Bernard Gilkey"	0.0898471
))
(Buick (desc 8297.49) (sims
Oldsmobile	0.230369
GMC	0.190313
Cadillac	0.185946
Lexus	0.183075
Chevrolet	0.166942
Acura	0.162154
Chevy	0.149551
Mercedes-Benz	0.146957
Saab	0.143443
"Mercedes Benz"	0.138018
Pontiac	0.137767
Saturn	0.131206
"Ford Taurus"	0.129712
Mercedes	0.128901
Toyota	0.128789
BMW	0.127443
Chrysler	0.120681
Audi	0.119066
Nissan	0.116943
Volvo	0.116836
dodge	0.116104
"Jeep Cherokee"	0.114528
Volkswagen	0.114299
Porsche	0.108865
Ford	0.107512
Jetta	0.10693
"Chevrolet Monte Carlo"	0.106918
corvette	0.106874
Infiniti	0.105092
Honda	0.104401
Prius	0.102198
Subaru	0.10073
impala	0.100623
"Land Rover"	0.0998813
Mazda	0.0996024
Skoda	0.0989607
Camaro	0.0984646
Taurus	0.0967556
"Ford Explorer"	0.0955637
Passat	0.0936828
"Ford Focus"	0.0929606
VW	0.0918394
Opel	0.0899274
"pickup truck"	0.0895098
Sedan	0.0889324
jeep	0.0886807
Citroen	0.0884424
Bentley	0.0877346
Peugeot	0.0877212
midsize	0.0866011
Lincoln	0.0850625
Plymouth	0.0847593
minivan	0.083765
"Toyota Corolla"	0.0836977
S@@	0.0836557
"Ford Mustang"	0.0823035
"station wagon"	0.0817018
"Lincoln Town Car"	0.0816199
SUV	0.0809852
"New Beetle"	0.0809044
Packard	0.0800492
Rolls-Royce	0.0799316
DeVille	0.0798278
Maxima	0.0790862
"mink coat"	0.0786032
Mitsubishi	0.0782677
Camry	0.0782581
"compact car"	0.077287
Budweiser	0.0770641
Hummer	0.0762612
subcompact	0.0749781
Jaguar	0.0748721
"Buick Classic"	0.0746375
Fiat	0.0744117
"Volkswagen Beetle"	0.0726179
pickup	0.0724315
Ferrari	0.0717648
"Honda Civic"	0.0715596
"Western Open"	0.0706913
convertible	0.0695528
Renault	0.0687812
Thunderbird	0.0682652
roadster	0.0675309
Mustang	0.0669234
Levi's	0.0667968
RV	0.0661556
"General Motors"	0.0659142
GM	0.0642996
hatchback	0.064125
"Toyota Camry"	0.0639404
Stratus	0.0639297
"sports car"	0.0637657
"Ford Expedition"	0.0631737
Alero	0.0622091
Coupe	0.0615951
Hyundai	0.0612252
rover	0.0607253
Corolla	0.0591544
minivans	0.0590716
"Mastercard Colonial"	0.0587505
"Range Rover"	0.0581953
"Ford Motor"	0.0580635
WINDSTAR	0.0570298
Buicks	0.0569086
Suzuki	0.0567147
tractor	0.0565737
"Ford Motor Co."	0.0564908
sport-utilities	0.0564664
Kia	0.0564482
"John Deere"	0.05613
"Honda Motor Co."	0.0558268
automobile	0.0549767
"Chevrolet Suburban"	0.0548678
neon	0.0547709
Motorcycle	0.0542995
Miata	0.0542164
"passenger car"	0.0536117
van	0.0535595
DaimlerChrysler	0.0534947
auto	0.0534831
Isuzu	0.0532456
Harley-Davidson	0.0531521
"Honda Accord"	0.0531095
Anheuser-Busch	0.0530489
G.M	0.0529704
"New York City Marathon"	0.052374
AutoNation	0.0522737
Tropicana	0.0522569
"Canadian Open"	0.0522358
G@@	0.0515806
Daewoo	0.0513828
A@XX	0.0510916
V@@	0.0507232
mercury	0.0503015
Amway	0.0502387
"PGA Championship"	0.0499459
Panasonic	0.0498693
Santana	0.0493201
SUVs	0.0492604
mini-van	0.049072
Maurier	0.0485321
wagon	0.0484202
"fire truck"	0.0482284
"Pepsi Cola"	0.0478897
"Boston Marathon"	0.0477125
GT	0.0474068
Safeco	0.0473762
"Sprint PCS"	0.0472262
"Land Cruiser"	0.0471667
forklift	0.0469913
"school bus"	0.046862
"Palm VII"	0.0467772
sport-utility	0.0467353
"love seat"	0.046727
Pony	0.0466454
"Memorial Tournament"	0.0463822
MiniMed	0.04624
NIKE	0.0460173
"stock car"	0.0459917
Colonial	0.0456141
"Ford Motor Company"	0.0455689
Pepsi	0.0455617
scooter	0.0454623
Firestone	0.0454465
two-seater	0.0454387
midlevel	0.0453014
"Lincoln Center Theater"	0.045267
"Palm III"	0.0452473
harvester	0.0452355
Coors	0.0450407
"mobile home"	0.0447928
"Rolls Royce"	0.0446805
Coca-Cola	0.044642
Matchbox	0.044544
Walkman	0.0444886
Nestle	0.0444686
flagship	0.044406
"Home Run Derby"	0.044344
"French Open"	0.0442053
Daimler-Benz	0.0440995
"Lincoln Navigator"	0.044076
"Jeep Grand Cherokee"	0.0440077
"Tour Championship"	0.0439843
"lawn mower"	0.0439318
"washing machine"	0.0438952
Chevys	0.0437139
Encarta	0.043587
"Pizza Hut"	0.0435802
"fuel cell"	0.0435389
"Old Navy"	0.0434275
dealership	0.0434172
"Chevrolet Blazer"	0.043236
a@	0.0431084
Duracell	0.0430879
Humvee	0.0430151
lawnmower	0.043001
"patrol car"	0.0428796
Masters	0.042857
"Chrysler Corp."	0.042831
Shenhua	0.0425707
))
("Buick Classic" (desc 2080.82) (sims
"Memorial Tournament"	0.214207
"Nissan Open"	0.189464
"Buick Invitational"	0.180895
"Western Open"	0.155695
"U.S. Senior Open"	0.148311
"German Open"	0.139384
"London Marathon"	0.138562
"Maurier Open"	0.138402
"Hamlet Cup"	0.136557
"PGA Championship"	0.131601
mini-camp	0.125208
"Canadian Open"	0.123634
"Hong Kong Open"	0.123097
"British Open"	0.119531
"Mastercard Colonial"	0.116761
"Brickyard @@@"	0.115218
"Federation Cup"	0.114982
"Tour Championship"	0.113724
"stroke play"	0.110078
"US Open"	0.106826
"Japan Open"	0.10673
"Italian Cup"	0.106382
"European Champions Cup"	0.105148
"U.S. Open"	0.104371
"Solheim Cup"	0.103673
"Dunhill Cup"	0.103247
Masters	0.102665
"Home Run Derby"	0.101068
"Italian Open"	0.0995746
"Loch Lomond"	0.0985647
"AFC Championship Game"	0.0967446
"Preakness Stakes"	0.0949989
"Stockholm Open"	0.0937671
"Gold Cup"	0.0932726
"Cup Juvenile"	0.0932547
"Australian Open"	0.0928897
"Pepsi @@@"	0.0923838
"West Regional"	0.0916684
"Chase Championships"	0.0913215
"Phoenix Open"	0.0907134
regionals	0.0886366
"Louis Vuitton Cup"	0.0880615
pro-am	0.0878542
"Maurier Classic"	0.0866266
"United States Open"	0.0857156
"NEC Invitational"	0.0853103
Futurity	0.0850452
"match play"	0.0848731
"European Cup"	0.0842119
"Paris Open"	0.0841837
"Dinah Shore"	0.0839105
"Hollywood Gold Cup"	0.0835525
"Players Championship"	0.0834394
"Libertadores Cup"	0.0834289
Maurier	0.0814014
"European Championships"	0.0803322
"Wood Memorial"	0.0802945
PGA	0.0802069
"French Grand Prix"	0.0799336
"ATP Championship"	0.0780314
"Kremlin Cup"	0.0772418
"East Regional"	0.0771389
"Consumer Electronics Show"	0.0769715
"Kentucky Oaks"	0.0765673
"Champions Cup"	0.0761233
"BellSouth Classic"	0.0749045
"Boston Marathon"	0.0748148
Buick	0.0746375
"Fed Cup"	0.0746237
"Lipton Championships"	0.0744997
"French Open"	0.0741159
tourney	0.0740531
"Grand Slam Cup"	0.0738276
"European Championship"	0.0736808
"National Invitation Tournament"	0.0732285
"Asian Cup"	0.0730688
"English Football Association"	0.0727803
"MLS Cup"	0.0725288
Giro	0.0724901
"Daytona @@@"	0.0719034
Opens	0.0717597
"Uber Cup"	0.0715849
"Little League World Series"	0.0710748
"Japanese Grand Prix"	0.071018
"miniature golf"	0.0710121
"Hopman Cup"	0.0692747
"Santa Anita Derby"	0.0691378
"LPGA Championship"	0.0690632
"New York City Marathon"	0.0689937
"Confederations Cup"	0.0685222
"Chinese Basketball League"	0.0680109
"Pacific Classic"	0.0678903
"spelling bee"	0.0674773
"African Nations Cup"	0.0673652
"Olympic Trials"	0.0669442
"Western Athletic Conference"	0.0668819
"British Grand Prix"	0.066819
"Belmont Stakes"	0.0667928
"League Cup"	0.0666946
Doral	0.0664464
"Tony Awards"	0.0663877
"Santa Anita Handicap"	0.0662371
"first cup"	0.0656159
nit	0.065477
minicamp	0.0653189
"NFC Central"	0.0650171
"Acura Classic"	0.0646963
"U.S. Amateur"	0.0639731
NCAAs	0.0637007
"commencement ceremony"	0.0634843
"Big West"	0.0632714
"SEC East"	0.0629678
"Kentucky Derby"	0.0621907
"F.A Cup"	0.0619488
"Olympic Club"	0.0618959
"Millrose Games"	0.061591
"Arkansas Derby"	0.0614397
"Fiesta Bowl"	0.0609802
"Indy @@@"	0.0606679
"Copa America"	0.0606277
decathlon	0.0603489
Oaks	0.0603448
"Louisiana Derby"	0.0603444
"Swiss Open"	0.0602833
"FA Cup"	0.0596934
"Ryder Cup"	0.0595909
"Dubai World Cup"	0.0595575
"Tony Award"	0.0594954
Iditarod	0.0594264
"Millennium Summit"	0.0592732
"South Regional"	0.0592038
"San Rafael"	0.0591973
"Cup Winners Cup"	0.0582554
"Wimbledon Tennis Championships"	0.0579374
"World Group"	0.0577685
"Jim Dandy"	0.0574494
"Senior PGA Tour"	0.0573294
"musical chair"	0.0572785
"Bay Hill"	0.0570188
"Golden Globe"	0.0563075
"Midwest Regional"	0.0558161
"UEFA Cup"	0.0554029
"practice range"	0.0553904
"World Athletics Championships"	0.0553775
"Florida Derby"	0.0551584
"NBA Draft"	0.0548438
"Davis Cup"	0.0544457
"Champions League"	0.054354
"Southwest Conference"	0.0540468
"National Book Award"	0.0534108
"Emmy Award"	0.0533339
Preakness	0.053173
"Augusta National"	0.0530527
by-election	0.0530237
"Juvenile Fillies"	0.0529489
"hammer throw"	0.0528409
"Jackson State"	0.0525738
Augusta	0.0523951
"Cannes Film Festival"	0.0523666
"Grand Prix"	0.0521769
Travers	0.0520703
"World Figure Skating Championships"	0.0520565
"Blue Grass"	0.0518398
distaff	0.0516837
"NFC Championship Game"	0.0513023
inaugural	0.0512526
"Royal Birkdale"	0.0512197
croquet	0.0511263
regatta	0.0509092
"Pan American Games"	0.050862
"Top Fuel"	0.0507358
nightcap	0.0502075
"Donn Handicap"	0.0501639
TPC	0.0500747
"British Opens"	0.0496101
"Euro @@@@"	0.0494424
PBA	0.0494212
"Super Bowl XXXIV"	0.0492503
"Southeastern Conference"	0.0490432
"Cy Young Award"	0.0488479
"margin call"	0.0485269
hardcourt	0.0484655
"Eclipse Award"	0.0482663
"NFC West"	0.048134
Heisman	0.0481069
"AFC West"	0.0481025
biathlon	0.0480989
"cold snap"	0.048015
Medinah	0.047782
"Lincoln Center Festival"	0.0475667
"NCAA Tournament"	0.0474683
"NL Central"	0.047257
"sugar bowl"	0.0472386
"Subway Series"	0.0468969
AMM	0.0468562
"Gold Glove"	0.046677
"Pulitzer Prizes"	0.0466435
"European Champions League"	0.0465508
"day game"	0.0463826
"Davis Cup World Group"	0.0463713
))
("Buick Invitational" (desc 2425.51) (sims
"Nissan Open"	0.219135
"Buick Classic"	0.180895
"Memorial Tournament"	0.166899
"U.S. Senior Open"	0.166155
"German Open"	0.153697
"Canadian Open"	0.149771
"Mastercard Colonial"	0.142122
"Players Championship"	0.136595
"Western Open"	0.135293
"Loch Lomond"	0.133994
"Maurier Open"	0.130995
"Italian Open"	0.129404
"Tour Championship"	0.129314
"Hamlet Cup"	0.119953
"Phoenix Open"	0.116923
"World Figure Skating Championships"	0.116735
oceanography	0.115592
"PGA Championship"	0.114793
Doral	0.112915
"Home Run Derby"	0.107193
"African Nations Cup"	0.100596
"Australian Open"	0.0990413
"Lipton Championships"	0.0972447
"European Championships"	0.0968591
"Pebble Beach"	0.0958773
"London Marathon"	0.0956787
"Consumer Electronics Show"	0.0943668
"US Open"	0.0939754
"Daytona @@@"	0.0936788
"Hong Kong Open"	0.0934854
"British Open"	0.0932002
"World Athletics Championships"	0.0930588
mini-camp	0.0923836
"Federation Cup"	0.0919833
Colonial	0.0916551
"U.S. Open"	0.0914324
"Asian Cup"	0.090191
"Sahalee Country Club"	0.0901215
"BellSouth Classic"	0.0888886
"Solheim Cup"	0.0883305
"AFC Championship Game"	0.0845636
"East Regional"	0.083886
"Dunhill Cup"	0.0833974
"European Champions Cup"	0.0832673
"Chase Championships"	0.0830857
"French Open"	0.0821823
"Brickyard @@@"	0.0818974
Lipton	0.0810545
"Louis Vuitton Cup"	0.0802432
"Cup Juvenile"	0.0796387
"Republican Convention"	0.0795923
"Acura Classic"	0.0787068
tourney	0.0786313
"stroke play"	0.0784055
"Stockholm Open"	0.0778298
"Bangkok Asian Games"	0.0772048
"Gold Cup"	0.0770051
"LPGA Championship"	0.0761921
"Pepsi @@@"	0.075972
Masters	0.0751227
pro-am	0.0749669
"British Grand Prix"	0.0749388
"Nations Cup"	0.0748441
"Maurier Classic"	0.0746231
"Olympic Winter Games"	0.0746186
"Confederations Cup"	0.0740674
"Italian Cup"	0.0737717
"ATP Championship"	0.0732311
"World Cycling Championships"	0.0728935
"Davis Cup World Group"	0.0720204
Universiade	0.071999
"Copa America"	0.0714246
"Augusta National Golf Club"	0.0714246
"Paris Open"	0.0705777
"NEC Invitational"	0.0704637
"Riviera Country Club"	0.0704499
"European Championship"	0.0703897
"Museum of Contemporary Art"	0.0702518
"World Group"	0.0701443
"Atlanta Olympic Games"	0.069947
"LA COSTA"	0.0697949
TPC	0.0693079
"Champions Cup"	0.0691767
regionals	0.0688709
"Big Sky Conference"	0.0688386
"Roland Garros"	0.068463
"dramatic event"	0.0676543
"Nagano Olympics"	0.0674613
"Republican National Convention"	0.0671935
"Hopman Cup"	0.0668013
"Pan American Games"	0.0667855
"Holiday Bowl"	0.0666221
Pinehurst	0.0664719
"Grammy Awards"	0.0663879
nightcap	0.0655482
NCAAs	0.0654628
"Pikes Peak"	0.0653397
"NBA Draft"	0.0647511
"Bay Hill"	0.0647411
"World Basketball Championship"	0.0640191
PGA	0.0638712
"Sears Point"	0.0637328
"Kentucky Oaks"	0.0635813
"Olympic Club"	0.0634565
"Goodwill Games"	0.0632306
"National Invitation Tournament"	0.0630718
"World Table Tennis Championships"	0.0625908
"Japan Open"	0.0619494
"Dubai World Cup"	0.0612351
"South Regional"	0.0611135
"League Cup"	0.0610376
"Kremlin Cup"	0.0607908
Valhalla	0.0607045
"FA Cup"	0.0606769
"Little League World Series"	0.0606213
"Top Fuel"	0.0601732
sickout	0.0601142
regatta	0.0600698
"National Games"	0.0598711
"cold snap"	0.0596078
"Winter Olympics"	0.0595281
"Cannes Film Festival"	0.0592678
"Atlanta Games"	0.0590643
"Skate America"	0.0586413
"Indian Wells"	0.058297
"NL West"	0.0581865
"Royal Birkdale"	0.0580324
"West Regional"	0.0580091
Valderrama	0.0578287
"Eighth National Games"	0.0577899
"Millrose Games"	0.0577292
"Midwest Regional"	0.0576944
"Barcelona Games"	0.0575295
Futurity	0.0573136
"Nagano Winter Olympics"	0.0572924
"Augusta National"	0.0572359
"Melbourne Park"	0.0571378
"United States Open"	0.0569847
"Preakness Stakes"	0.0568217
"European Cup"	0.0564307
Monza	0.0564192
"Golden Globe"	0.056379
"Santa Anita Handicap"	0.055956
Augusta	0.0559517
Daytona	0.0558504
"New York Film Festival"	0.0556521
"African Cup"	0.0554544
"Pleasant Valley"	0.0554251
"Euro @@@@"	0.0552509
"Tony Awards"	0.0551705
"Belmont Stakes"	0.0550221
"Japanese Grand Prix"	0.0548463
"X Games"	0.0548289
"Uber Cup"	0.0547669
"Stamford Bridge"	0.0547481
"Sydney Olympic Games"	0.0545158
"Blue Grass"	0.0543471
minicamp	0.0541606
"Thomas Cup"	0.0541087
"U.S. Amateur"	0.0538398
"Motor Speedway"	0.0535719
"Louisiana Derby"	0.0535234
"Pan Am Games"	0.0535028
Opens	0.0534373
"World Weightlifting Championships"	0.0532654
Wembley	0.0530477
"Boston Marathon"	0.0528987
Pocono	0.052831
Pir	0.0527878
"match play"	0.0527461
"Swiss Open"	0.0526412
"Fed Cup"	0.0526287
"Pacific Classic"	0.0525811
"Summer Olympics"	0.0523803
"East Asian Games"	0.0519109
"F.A Cup"	0.0518162
"Indy @@@"	0.0517735
"spelling bee"	0.0515788
"Charlotte Motor Speedway"	0.0513401
"UEFA Cup"	0.0509441
"Stade Velodrome"	0.0508884
"Qualcomm Stadium"	0.0508012
Maurier	0.0507448
"World University Games"	0.0506217
"All-Star Game"	0.0505502
"Millennium Summit"	0.0505203
"Conseco Fieldhouse"	0.0504791
"Democratic National Convention"	0.0504639
"National Convention"	0.0503957
CONCACAF	0.0503155
"margin call"	0.049803
"Group @"	0.0496776
"NCAA Tournament"	0.0495314
nit	0.0494896
"Golden Globes"	0.0494202
"Orange Bowl"	0.0494007
"Daytona International Speedway"	0.049382
"French Grand Prix"	0.0493624
"Big West"	0.049359
"long jump"	0.0493303
))
(Buicks (desc 1243.33) (sims
Pontiacs	0.230326
Chevys	0.224559
Cadillacs	0.121493
BMWs	0.0978381
"passenger car"	0.0969917
"Honda Civic"	0.0900889
"mink coat"	0.088539
MANA	0.0818857
Opel	0.0730457
Thunderbird	0.0705886
widget	0.0702856
"steam locomotive"	0.0695451
VND	0.0687734
"Chevrolet Blazer"	0.068119
metical	0.0680258
"Chevrolet Monte Carlo"	0.0670714
DeVille	0.0663131
"electric car"	0.0661527
"Council of Economic Advisers"	0.0655047
mini-buses	0.0653091
minivans	0.064612
Cadillac	0.0611024
Chevy	0.0609226
"space vehicle"	0.0604071
megaplexes	0.0601227
SUVs	0.0590739
chassis	0.0572121
mini-vans	0.0570039
Buick	0.0569086
"New Beetle"	0.0568277
"Land Cruiser"	0.0565902
kilometre	0.0561518
Hummer	0.0553361
"compact disk"	0.0550338
Silverado	0.0547889
"Hong Kong Open"	0.0547631
forklifts	0.0545989
"picture tube"	0.0543758
harvester	0.0539953
laid-offs	0.0538074
"loaf of bread"	0.0535416
minivan	0.0535086
Plymouth	0.0532369
Snowmen	0.0527088
dwt	0.0526174
"Lincoln Town Car"	0.0521187
"Mercedes Benz"	0.0520596
scooter	0.0516557
"rolling stock"	0.0514837
corvette	0.051396
"aircraft part"	0.0510922
snowplow	0.0505009
Mercedes-Benz	0.0503959
forklift	0.0502551
"Chevrolet Suburban"	0.0502518
job-seekers	0.0502293
enlistee	0.0502119
"fire truck"	0.0502113
"trading card"	0.0500911
howitzer	0.0499693
"garbage truck"	0.0496557
"Ford Focus"	0.0496272
tritium	0.0495241
ESCALADE	0.0494943
"memory chip"	0.0494848
registrant	0.0492282
"washing machine"	0.0489764
brassiere	0.0489665
meticais	0.048773
Acura	0.0487724
"cash crunch"	0.0486956
"Private Ryan"	0.0486816
"steam engine"	0.0484678
Humvees	0.048259
"Cliffs Notes"	0.0482254
emulator	0.0482094
Corolla	0.0480709
Legos	0.0478779
"Calvin Coolidge"	0.0478664
sq.km	0.0477171
G.M	0.0475058
"Ford Taurus"	0.0474805
"public toilet"	0.0473915
portables	0.0472988
compressor	0.047133
Thinkpad	0.0469804
"wind power"	0.0469729
Oldsmobile	0.0469038
"portable computer"	0.0467323
NTL	0.0466811
sport-utilities	0.0466808
"PT Cruiser"	0.0465966
"Jeep Cherokee"	0.0464854
Internet@	0.0464258
"telephone set"	0.0464058
"silicon chip"	0.0461084
proletariat	0.0458193
shortcake	0.0458023
"absentee ballot"	0.0454342
PDA	0.0453584
collider	0.0453315
"Scottish Parliament"	0.0452763
Tamale	0.0452736
VCDs	0.0451787
"sales outlet"	0.0451724
cellulose	0.0451024
"domed stadium"	0.0450995
"regular army"	0.0448846
roadster	0.0448641
cellphones	0.0445865
radiotherapy	0.04446
Prius	0.0444088
"Palm VII"	0.0443917
"particle accelerator"	0.0442388
Rockefellers	0.0442306
Saturn	0.0442086
Garbo	0.0441449
"Bordeaux wine"	0.0441307
Westbrook	0.0440627
airship	0.0440205
Bayh	0.0439702
Lexus	0.0439555
A@@@	0.043739
"color television"	0.0436929
"beam of light"	0.0436719
watt	0.0436389
leper	0.0434472
"Iranian POWs"	0.0434325
"test-tube baby"	0.0434185
"Symphony Hall"	0.043318
MD	0.043281
"piece of furniture"	0.0432776
"fishing rod"	0.0432355
Banknote	0.0431794
motherboard	0.0431351
"summer house"	0.0431185
birdhouse	0.0430981
"gas well"	0.0429602
abacus	0.042879
"Field Poll"	0.0428669
"welcome mat"	0.0428524
"fighter aircraft"	0.0428357
Heche	0.0428012
"union worker"	0.0427976
IL	0.0426549
kwanza	0.0421474
skateboard	0.0418851
minibuses	0.0418249
"pumpkin pie"	0.0418035
"neutron bomb"	0.0417071
"station wagon"	0.0416837
"wall hanging"	0.0416747
"Court @"	0.0415712
dopamine	0.04154
sq	0.0415178
"milk cow"	0.0413367
"line of products"	0.0413325
TU-@@@	0.0413247
"temporary worker"	0.0413215
sundae	0.0413081
"repertory company"	0.0412912
torte	0.0412868
enrollee	0.0411999
LDs	0.0411706
Camry	0.0411167
"pipe organ"	0.0410823
"studio apartment"	0.0410683
Freddy	0.041041
S@@	0.0409772
"diesel engine"	0.0409076
Jetta	0.0409065
crostini	0.0408997
Airstream	0.0408982
"solar cell"	0.0408842
playlists	0.0408708
Camaro	0.0407328
handhelds	0.040661
"gas plant"	0.0405518
"coaxial cable"	0.0405102
"Jeep Grand Cherokee"	0.0405081
SIDS	0.0403467
bedfellow	0.0403088
Daimler-Chrysler	0.0402343
"Ford Expedition"	0.0401764
Bridgestone/Firestone	0.0401297
interferon	0.0401004
"pedestrian bridge"	0.0400989
enumerators	0.0400851
Budweiser	0.0400844
"Franklin Delano Roosevelt"	0.04007
"component part"	0.0400237
))
(build (desc 25522.9) (sims
physique	0.0876518
goatee	0.0667492
"push back"	0.0610814
"kick start"	0.0591606
frame	0.057434
fend	0.0569447
rein	0.053953
"get together"	0.0519846
mustache	0.0507655
complexion	0.0505836
"good looks"	0.048803
grin	0.0470157
Beard	0.0460249
showcase	0.0446323
hair	0.0441676
finesse	0.0432913
redshirt	0.0409364
))
(build-up (desc 2889.35) (sims
buildup	0.151183
de-escalation	0.0844175
drawdown	0.0786446
test-firing	0.0781173
incursion	0.0715403
"military position"	0.0713682
accumulation	0.0704264
depletion	0.0696893
"engine failure"	0.069598
leakage	0.0682146
escalation	0.0666966
salinity	0.0629819
"power failure"	0.0623733
"observation post"	0.0619682
"high command"	0.0611884
laundering	0.0599679
adventurism	0.0599539
divestment	0.0583543
influx	0.0577977
upsurge	0.0575144
cordon	0.0564006
"police action"	0.0557381
gasket	0.0555358
subsidence	0.0549898
cutback	0.0541577
crosswind	0.0534337
worsening	0.0533565
deforestation	0.0532298
overproduction	0.0524984
rollovers	0.0524666
"Pervez Musharraf"	0.0524318
stayaway	0.0523304
thawing	0.0521346
"water pollution"	0.0519771
shipload	0.0515066
"oil slick"	0.0514167
"juvenile delinquency"	0.0510562
goings-on	0.0509807
spillage	0.0509629
"market correction"	0.0508549
reinforcement	0.0503034
"war game"	0.0501093
adulteration	0.0500417
"forest fire"	0.0498982
emitter	0.0496229
warming	0.0493632
scarcity	0.0492283
flare-up	0.0492081
"acid rain"	0.0492063
erosion	0.0491677
Rains	0.0488413
detonation	0.0487175
"brain drain"	0.0486423
manoeuvre	0.0482839
slippage	0.0482598
deterioration	0.0481341
onslaught	0.0480152
reflux	0.0477689
foul-up	0.0473164
updraft	0.0472134
pullout	0.0468609
desertion	0.0467458
degradation	0.0464289
floatation	0.0464107
inhalation	0.0463998
plume	0.0463073
absorption	0.0462718
wastage	0.0462679
"dust storm"	0.0461578
outflow	0.0459017
"bank failure"	0.045688
"mortar fire"	0.04565
"interest rate increase"	0.0455975
"artillery fire"	0.0455206
Presense	0.0454907
"chain reaction"	0.0453779
"solar radiation"	0.0452542
"landing strip"	0.0452341
"foot-and-mouth disease"	0.04523
landslide	0.0452258
fortification	0.0451753
variability	0.0449926
encirclement	0.0449391
Snowfall	0.044892
"field hospital"	0.0446464
"crime wave"	0.0445341
"military capability"	0.0444919
"military post"	0.0443871
duplication	0.0442832
eruption	0.0442459
bottleneck	0.0439543
disintegration	0.0438139
patrolling	0.0435424
dislocation	0.0432971
fluoride	0.0431495
mix-up	0.0431076
easing	0.0430889
agitation	0.04307
congestion	0.0430641
placing	0.0430134
buybacks	0.042927
"management shakeup"	0.042876
sell-off	0.0427928
"soil erosion"	0.0426979
overexposure	0.0426907
shelling	0.0425586
belligerence	0.0425311
shrinkage	0.0425149
lobbying	0.0424218
"election fraud"	0.0423913
disengagement	0.042219
provocation	0.0420184
airstrike	0.0419807
"budget cut"	0.0416434
exodus	0.0415963
"drug problem"	0.041593
"supply line"	0.0415732
miscalculation	0.0415456
dryness	0.0414778
outages	0.0412988
reshuffling	0.0412436
snafu	0.0412204
mishap	0.0412086
Humvee	0.0411208
poaching	0.0410749
"air raid"	0.0410613
"air current"	0.0409304
stationing	0.0408329
turbulence	0.0403506
infestation	0.0402694
displacement	0.0402434
sickout	0.0401121
mushrooming	0.0400784
"debt load"	0.0400542
))
(builder (desc 36793.8) (sims
developer	0.144446
contractor	0.128054
operator	0.120009
designer	0.116557
manufacturer	0.11353
engineer	0.102103
entrepreneur	0.0957321
owner	0.09486
supplier	0.0925839
maker	0.0923149
architect	0.0890856
Programmer	0.0885769
retailer	0.086121
technician	0.085807
planner	0.0846353
craftsmen	0.0845571
farmer	0.0841672
electrician	0.0833901
distributor	0.0833554
homeowner	0.0827142
broker	0.0824347
banker	0.0821213
buyer	0.0819284
"home builder"	0.0812929
employer	0.0812573
producer	0.0810417
worker	0.0808157
grower	0.0807975
educator	0.0805625
dealer	0.0804712
insurer	0.0801205
automakers	0.0788462
subcontractor	0.0780338
provider	0.0780233
merchant	0.0778388
manager	0.0778166
landlord	0.0766506
administrator	0.0764936
carpenter	0.0764179
restaurateur	0.0763093
plumber	0.0760042
mechanic	0.0759633
"interior designer"	0.0754796
artist	0.0754491
gardener	0.0752982
financier	0.0741382
politician	0.073962
professional	0.0737541
scientist	0.0736434
trader	0.0733153
corporation	0.0730375
shipper	0.0729723
painter	0.0729438
vendor	0.0725377
exporter	0.0723745
accountant	0.0722009
broadcaster	0.0719555
"real estate broker"	0.071753
consultant	0.0715631
collector	0.071535
lender	0.0715268
teacher	0.0714226
Industrialist	0.0714125
doctor	0.0714099
"property owner"	0.0711085
"computer programmer"	0.0706843
refiner	0.0705861
importer	0.070373
sculptor	0.0702955
pilot	0.0701222
"real estate agent"	0.0697331
marketers	0.069658
environmentalist	0.0693257
investor	0.0689359
shipbuilder	0.0687553
businessmen	0.0685521
landowner	0.0684807
consumer	0.0684493
"real estate developer"	0.0683761
firm	0.0679859
promoter	0.0676676
seller	0.0675906
driver	0.0672712
businessman	0.0665912
musician	0.0664572
wholesaler	0.066398
"insurance company"	0.0660247
physician	0.0659479
chef	0.0656745
user	0.0654774
inventor	0.06538
researcher	0.0652655
employee	0.0651252
decorator	0.0648629
utility	0.0648546
"landscape architect"	0.0646436
salesman	0.0645168
organizer	0.0643686
airline	0.0643278
advertiser	0.0643053
"auto maker"	0.0641761
"financial institution"	0.0641522
stockbroker	0.0638976
filmmakers	0.0638414
advocate	0.0638224
executive	0.0636544
resident	0.0630448
"venture capitalist"	0.0628448
historian	0.0625871
journalist	0.0625579
recruiter	0.0622535
lobbyist	0.0621352
Hunter	0.0620294
firefighters	0.0619439
conductor	0.0619232
writer	0.0618762
"phone company"	0.0618144
publisher	0.0615485
roofer	0.0614868
photographer	0.0613765
"travel agent"	0.0611725
purchaser	0.0610112
marketer	0.060837
practitioner	0.0607885
chemist	0.0604401
athlete	0.0602846
enthusiast	0.0602378
"civil engineer"	0.0601868
regulator	0.0598938
individual	0.0598286
academic	0.0597421
crew	0.0596772
controller	0.059669
"business leader"	0.0596568
laborer	0.0596287
caterer	0.0596266
specialist	0.0588616
steelmaker	0.0588263
construction	0.0587259
"graphic artist"	0.0586764
"home buyer"	0.0586165
lawyer	0.0585193
renter	0.0584352
"truck driver"	0.0583461
patron	0.0581993
stylist	0.0581651
rancher	0.0580625
citizen	0.0580375
"political leader"	0.057839
forecaster	0.0576928
booster	0.0576063
customer	0.0575689
"defense contractor"	0.0573813
"school district"	0.0573804
shopper	0.0571713
expert	0.0571201
winemaker	0.057115
surgeon	0.0570318
archaeologist	0.0569578
tycoon	0.0569237
"investment banker"	0.0567593
Realtor	0.056748
psychologist	0.0566854
volunteer	0.0566616
agency	0.0564958
diver	0.0564852
sponsor	0.056474
miner	0.0562235
performer	0.0561727
intellectual	0.0561175
machinist	0.0558576
composer	0.0557376
supervisor	0.0555126
pharmacist	0.0553695
activist	0.0553513
"car dealer"	0.0553512
prosecutor	0.0552511
"brokerage house"	0.0551887
visionary	0.0551753
conservationist	0.0550778
choreographer	0.0550722
Fishermen	0.0550614
mover	0.0550612
nurse	0.0550488
woodworker	0.0548975
clerk	0.0548231
hotelier	0.0548012
artisan	0.0545904
"baseball player"	0.0545657
scholar	0.0543881
entertainer	0.0543769
"cable operator"	0.0543678
officer	0.0541311
scout	0.054085
"life insurer"	0.0539979
tenant	0.0539837
"funeral director"	0.0539682
carrier	0.0538771
statesman	0.0538337
ISPs	0.053787
))
(building (desc 309046) (sims
house	0.227097
hotel	0.18677
"apartment building"	0.184061
"office building"	0.182263
apartment	0.18078
Tower	0.17742
home	0.177342
complex	0.17508
facility	0.165599
office	0.150973
factory	0.148951
restaurant	0.148486
structure	0.14805
park	0.146732
construction	0.146332
mansion	0.144367
palace	0.143631
shop	0.142945
stadium	0.142559
museum	0.141817
Warehouse	0.141814
area	0.141773
store	0.14147
church	0.141144
center	0.140529
room	0.139819
site	0.139105
headquarter	0.13801
residence	0.13794
embassy	0.136583
neighborhood	0.135655
village	0.135134
wall	0.134846
garage	0.134268
compound	0.134216
plant	0.133306
hall	0.1332
school	0.1327
mosque	0.132359
bridge	0.129002
space	0.128835
car	0.128716
library	0.126539
hospital	0.125283
project	0.123258
street	0.121601
tree	0.120153
Housing	0.119754
theater	0.119496
dormitory	0.119336
garden	0.11775
courthouse	0.117663
airport	0.116783
property	0.116083
"parking lot"	0.115722
station	0.115312
Capitol	0.114071
skyscraper	0.113989
barrack	0.112653
terminal	0.112193
city	0.111958
vehicle	0.111456
temple	0.111191
"shopping center"	0.111174
town	0.110512
mall	0.110026
block	0.109321
gallery	0.108693
synagogue	0.108584
dwelling	0.108333
classroom	0.108185
infrastructure	0.107158
tent	0.106411
monument	0.106013
square	0.105876
barn	0.105131
road	0.104683
Villa	0.1046
cabin	0.103701
land	0.103658
"city hall"	0.103039
shelter	0.102822
campus	0.102612
location	0.102206
gate	0.102117
arena	0.10205
facade	0.10147
system	0.10103
floor	0.101005
place	0.100966
cottage	0.100762
studio	0.100661
clinic	0.100519
Cathedral	0.100501
door	0.0994469
installation	0.0990001
farm	0.0985934
window	0.0984621
bus	0.098321
cafe	0.0983115
"U.S. Embassy"	0.0979063
basement	0.0977341
roof	0.0975835
hut	0.0973144
"police station"	0.0972081
base	0.097188
prison	0.0968821
"town house"	0.0968697
"power station"	0.0962712
camp	0.0962528
storefront	0.0962309
"shopping mall"	0.0961862
cemetery	0.0961608
trailer	0.0961283
section	0.0959798
plaza	0.0956091
"power plant"	0.0954851
high-rise	0.0951428
development	0.0951276
district	0.094519
business	0.0943738
"mobile home"	0.0936234
renovation	0.0934757
tomb	0.0933372
gym	0.0932678
chapel	0.0932395
Dome	0.0932026
entrance	0.092923
"post office"	0.0928917
auditorium	0.0925863
bar	0.0924227
field	0.0922047
depot	0.0921654
tunnel	0.0920793
condominium	0.0919609
truck	0.0912786
downtown	0.0910716
courtyard	0.0910568
plane	0.0905215
ruin	0.09051
kitchen	0.0904853
bungalow	0.0902899
operation	0.0898569
work	0.0896383
dam	0.0895199
equipment	0.0893978
fence	0.0893468
inn	0.0888193
highway	0.0887908
"department store"	0.0884507
shack	0.0883953
farmhouse	0.0883132
memorial	0.0876115
unit	0.0874312
market	0.0871435
Castle	0.0868963
architecture	0.0866949
"movie theater"	0.0864505
bunker	0.0861608
community	0.0860942
program	0.0860199
landmark	0.0858489
zone	0.0856617
aircraft	0.0855692
forest	0.0854492
design	0.0853425
bedroom	0.0840806
ship	0.0840156
institution	0.0837701
mountain	0.0835612
premise	0.0835563
motel	0.0835316
box	0.0833947
tank	0.0832464
settlement	0.0829375
statue	0.0828798
loft	0.0828447
suite	0.0828352
Monastery	0.0824936
pavilion	0.0822082
Computer	0.0820593
ground	0.0820304
network	0.0817521
elevator	0.0816153
mine	0.0815419
body	0.0809963
security	0.0809944
one	0.0809081
refinery	0.080592
yard	0.0805773
"gas station"	0.0800601
bathroom	0.0799638
sanctuary	0.0799219
company	0.079816
laboratory	0.0798045
"dining room"	0.0796821
booth	0.0796724
venue	0.079578
cave	0.079532
resort	0.0794815
))
("building block" (desc 12877.1) (sims
component	0.0837176
prerequisite	0.0813361
cornerstone	0.0794477
catalyst	0.0726785
pillar	0.0725129
element	0.0705101
cog	0.0691897
"stepping stone"	0.0690206
foundation	0.0685295
molecule	0.0679497
blueprint	0.0665704
groundwork	0.0662252
roadmap	0.0638728
"safety valve"	0.063387
requisite	0.0626854
"turning point"	0.0626696
foundations	0.0626526
"reference point"	0.0617974
tool	0.0615441
backbone	0.0603688
decoding	0.0602727
yardstick	0.0600207
barometer	0.0599713
ingredient	0.0597528
"practical application"	0.0597073
bedrock	0.0587953
"component part"	0.0581745
"test case"	0.0575298
milestone	0.0570192
determinant	0.0567953
precondition	0.0559717
microcosm	0.0557294
bulwark	0.0554504
"stumbling block"	0.0553791
guarantor	0.0549702
"nerve center"	0.0549181
"starting point"	0.0546593
"road map"	0.0543562
precursor	0.054292
framework	0.0539698
"driving force"	0.0533715
"break of serve"	0.0517324
"first step"	0.0516324
"measuring stick"	0.0513074
"strong force"	0.0512511
prong	0.0511753
"point of reference"	0.0511463
"focal point"	0.0511444
"rallying point"	0.0510091
bottleneck	0.0509807
facet	0.0507811
neurotransmitter	0.0506037
underpinning	0.0499163
"raw material"	0.0499052
conduit	0.0497791
"order of business"	0.0497122
nutrient	0.0492007
instrument	0.0490982
nucleus	0.0488675
linchpin	0.0487138
characteristic	0.0486444
mechanism	0.0481328
progenitor	0.0477403
lifeblood	0.0473894
"line of defense"	0.0473273
wafer	0.0469952
stanza	0.0469071
fragment	0.0467304
"No. @s"	0.0466593
elixir	0.0464266
"bargaining chip"	0.0464115
parameter	0.0461993
criterion	0.046141
impetus	0.045714
"cash cow"	0.0456715
steppingstone	0.0453616
objective	0.0453606
prototype	0.0452351
workhorse	0.0447216
"weak point"	0.0447013
synthesis	0.044679
obstacle	0.0444758
microchip	0.0443414
lifeline	0.0443315
tenet	0.0443012
pitfall	0.0441277
"agenda item"	0.0438727
lever	0.0438521
flaw	0.0437517
Atom	0.0437183
variable	0.0437119
shortcut	0.0437008
"service break"	0.0436852
rationale	0.0436166
prop	0.0434074
impediment	0.0433591
protein	0.0433293
"decisive factor"	0.0433287
"fundamental principle"	0.043323
indicator	0.0433157
metaphor	0.0432453
"packing material"	0.0432367
paradigm	0.0431087
"legal principle"	0.0430594
"competitive advantage"	0.0430457
ballast	0.0430097
centerpiece	0.0428931
mainstay	0.0428045
pathway	0.0425452
irritant	0.0425071
drawback	0.0424895
template	0.0424697
marker	0.0424248
synonym	0.0416419
plank	0.0416206
additive	0.0416116
hub	0.0415308
constituent	0.0413583
"basic principle"	0.0412469
blob	0.0411365
hallmark	0.0411262
Truism	0.0411136
"role player"	0.0410137
"smoke screen"	0.0409247
landmark	0.0408838
module	0.0407565
"ground rule"	0.0407334
particle	0.0406721
motivation	0.0406147
anomaly	0.040548
verb	0.0404479
"base of operations"	0.0404358
vial	0.0404191
enzyme	0.0403384
"frame of reference"	0.0403277
touchstone	0.040258
identifier	0.0402576
paradox	0.0402458
watershed	0.0401411
))
("building code" (desc 3495.9) (sims
"safety standard"	0.176536
"Clean Air Act"	0.129177
"Clean Water Act"	0.128091
zoning	0.123668
"internal control"	0.110857
"bankruptcy law"	0.107524
"criminal law"	0.105373
Ordinance	0.105371
"Voting Rights Act"	0.103018
"planning board"	0.101197
"code of conduct"	0.0985904
"abortion law"	0.0978536
bylaw	0.0968483
"Community Reinvestment Act"	0.0963498
"maritime law"	0.0955535
"antitrust law"	0.0954411
"safety measure"	0.093633
"penal code"	0.090392
"Disabilities Act"	0.089953
"child welfare agency"	0.0887637
"U.N. Resolution @@@"	0.0885918
"labor contract"	0.0877591
"commercial law"	0.084258
"legal code"	0.0822429
"Fourth Amendment"	0.0805996
guideline	0.0798494
"quality control"	0.0797287
"Department of Environmental Protection"	0.0787092
"Title IX"	0.0779141
"planning commission"	0.0776099
quarantine	0.077533
Sharia	0.0774367
"Lusaka Peace Accord"	0.0765555
Ada	0.0761974
"security measures"	0.0757364
statute	0.0753526
"Civil Rights Act"	0.0753123
"Endangered Species Act"	0.0734934
"Telecommunications Act"	0.0727303
norm	0.070856
record-keeping	0.0699722
"rating system"	0.0699227
curriculum	0.0694472
"rule of evidence"	0.0685705
"trade embargo"	0.0683108
prohibition	0.0678867
"Geneva convention"	0.0678075
"patent right"	0.0672726
curfew	0.0672332
enforcement	0.0671486
"tax system"	0.0667637
"Title VII"	0.0665656
secularism	0.0663083
"Board of Elections"	0.0660933
specification	0.0654278
"Public Service Commission"	0.0651549
IPR	0.0647355
"master plan"	0.0641518
"water system"	0.0638207
armistice	0.063505
"pricing system"	0.0633148
directive	0.0619196
conditionalities	0.0610768
"U.S. Constitution"	0.0600583
"accounting system"	0.0599476
monitoring	0.0598783
"Department of Motor Vehicles"	0.0596368
"U.N. Convention"	0.0591785
"due process"	0.0590566
"Anti-Ballistic Missile Treaty"	0.0587048
macro-control	0.0585958
"Helms-Burton Act"	0.0581825
"International Covenant"	0.0579804
Shariah	0.0579058
"ventilation system"	0.0577583
ERISA	0.0577179
"time limit"	0.0568622
"inventory control"	0.0562297
"sewer system"	0.0559181
hygiene	0.0557931
"transportation system"	0.0557608
CDMA	0.0552601
precaution	0.055085
"price control"	0.055039
"property right"	0.0548352
"United Nations Charter"	0.0545666
sanitation	0.0538669
"Resolution @@@@"	0.0538589
"Health Department"	0.053571
self-regulation	0.0533476
OSHA	0.0529558
"civil law"	0.0529448
"drainage system"	0.0526678
covenant	0.0525652
"medical exam"	0.0525411
"Section @"	0.0525004
edict	0.0524759
"tax change"	0.0523322
"heating system"	0.0519965
"reading program"	0.0519817
"water company"	0.0519715
"Oslo Accords"	0.0519607
"athletic facility"	0.0518288
"Criminal Procedure Law"	0.0516162
"welfare worker"	0.0513784
"quota system"	0.0510857
"Department of Health"	0.0510012
"international law"	0.0507861
"First Amendment"	0.0504231
"right to privacy"	0.05033
Helms-Burton	0.0502832
"emergency exit"	0.0502652
"election district"	0.050244
"Montreal Protocol"	0.0500711
"economic condition"	0.0500537
topography	0.0499942
"minimum wage"	0.0497898
Measures	0.0494912
rationing	0.0494737
"Article @@"	0.0493272
abattoir	0.0491445
"common law"	0.0488561
"teaching method"	0.0487557
stipulation	0.0486933
"engine failure"	0.0486691
"speed limit"	0.0485553
"Vienna Convention"	0.0485344
"fire chief"	0.0484468
"tax policy"	0.0484386
"tax collection"	0.0483298
Standards	0.0481739
"legal instrument"	0.04816
downslide	0.0480484
"safety feature"	0.0479451
curricula	0.0478861
"air pollution"	0.0476797
"trade agreement"	0.0475819
"Sino-British Joint Declaration"	0.047136
smog	0.0470253
"low-fat diet"	0.0468361
CITES	0.0467236
countermeasure	0.0466733
promulgation	0.0466646
"price list"	0.0465976
Cp	0.0464958
"investment climate"	0.0462907
"Occupational Safety and Health Administration"	0.0462555
"telephone exchange"	0.0461781
"living wage"	0.0460303
"property tax"	0.0458484
"highway system"	0.0455691
"split personality"	0.0455625
"Department of Transportation"	0.0454895
"ABM Treaty"	0.0453985
orthodoxy	0.045294
"legal system"	0.0451504
ventilation	0.0449098
"International Civil Aviation Organization"	0.0447049
sewer	0.0446802
goverment	0.0446766
doctrine	0.04461
"fire brigade"	0.0445025
"rule of law"	0.0443563
forester	0.0443419
"phone system"	0.0443005
"employment contract"	0.0442735
"economic system"	0.0441109
"telephone network"	0.0440904
policing	0.0440729
"Department of Environmental Conservation"	0.0440598
"police office"	0.0440097
"Board of Supervisors"	0.0439919
"salary cap"	0.0439606
Councilors	0.0438811
"railway system"	0.0438289
governance	0.0437361
"U.N. Security Council Resolution @@@"	0.0437065
"tax base"	0.0436405
"North American Free Trade Agreement"	0.0436315
ozone	0.0436239
"fire department"	0.0436074
"market condition"	0.0435607
"cash crunch"	0.0435322
"Independence Party"	0.0434453
"board of education"	0.0433514
"Fifth Amendment"	0.0431019
"Pudong International Airport"	0.0430149
"medical community"	0.0429809
"Section @@@"	0.0427542
"vocational school"	0.0426743
"policy change"	0.0426506
"fire control"	0.0425848
preparedness	0.0425302
"ground rule"	0.0423782
"religious belief"	0.042332
"rehabilitation program"	0.0420116
"school board"	0.0418859
"school system"	0.0417902
"crime wave"	0.0417157
"U.N. Charter"	0.0417108
))
("building material" (desc 17288.7) (sims
petrochemical	0.29989
metallurgy	0.29832
"household appliance"	0.295599
textile	0.283655
machine-building	0.266002
pharmaceutical	0.260612
electronics	0.249628
foodstuff	0.247798
"chemical industry"	0.246066
machinery	0.230417
"home appliance"	0.228402
shipbuilding	0.223715
petroleum	0.218857
"consumer goods"	0.212285
appliance	0.209296
"raw material"	0.205312
ceramic	0.203475
fertilizer	0.202947
bioengineering	0.193502
cement	0.193196
"machine tool"	0.188943
handicraft	0.188123
automobile	0.183543
"food product"	0.183068
garment	0.182354
steel	0.181118
chemical	0.179502
semiconductor	0.174257
processing	0.172197
telecommunication	0.171063
mineral	0.166834
mining	0.166266
footwear	0.165123
"consumer electronics"	0.163922
Coal	0.161233
metal	0.159627
cosmetic	0.159536
apparel	0.156315
newsprint	0.156231
"durable goods"	0.155803
material	0.153103
lumber	0.152206
"animal husbandry"	0.15137
"spare part"	0.150631
timber	0.150284
"electric power"	0.148791
goods	0.14869
furniture	0.147312
"consumer durables"	0.146775
knitwear	0.146441
plastic	0.146192
"electronics industry"	0.145143
"motor vehicle"	0.144968
aerospace	0.144057
medicine	0.14378
agriculture	0.143636
equipment	0.14297
rubber	0.142282
"palm oil"	0.141903
"electronic equipment"	0.14077
beverage	0.139747
auto	0.13932
commodity	0.1363
"dairy product"	0.135817
Microelectronics	0.135663
manufacturing	0.135437
forestry	0.134774
"specialty chemical"	0.134241
product	0.133344
lubricant	0.132813
Clothing	0.132495
grain	0.13225
pulp	0.132231
"high technology"	0.129487
"integrated circuit"	0.129134
"communications equipment"	0.128416
"synthetic fiber"	0.127494
engineering	0.126868
utensil	0.126633
biotechnology	0.126015
iron	0.125975
refining	0.125373
"medical instrument"	0.125196
jewelry	0.124913
energy	0.12433
jute	0.124112
packaging	0.122153
"crude oil"	0.121609
"real estate"	0.121274
"pig iron"	0.120701
Copper	0.120521
"computer hardware"	0.120217
electricity	0.119343
"information technology"	0.11872
transportation	0.118702
"memory chip"	0.118236
"frozen food"	0.118209
aviation	0.117729
"iron ore"	0.117332
"alcoholic beverage"	0.116201
oil	0.115497
food	0.114364
furnishings	0.114122
glassware	0.114035
"precious metal"	0.113988
tourism	0.113875
"household product"	0.11383
fuel	0.11328
aluminum	0.112448
"natural gas"	0.112157
hydropower	0.111652
housewares	0.111549
toy	0.110849
hardware	0.109869
fishery	0.109583
"scientific instrument"	0.109014
ore	0.108863
pesticide	0.108853
"plate glass"	0.107777
leather	0.106874
"computer equipment"	0.106629
sheeting	0.106493
Telecoms	0.106161
detergent	0.105767
"interior decoration"	0.105079
by-product	0.105032
fibre	0.104626
air-conditioner	0.104384
phosphate	0.104371
stationery	0.103719
aquaculture	0.103351
Livestock	0.103193
cotton	0.10292
transport	0.102221
high-tech	0.101736
gemstone	0.100773
construction	0.100686
carpet	0.100566
accessory	0.100497
"public utility"	0.100446
husbandry	0.100276
conservancy	0.100074
aquatics	0.100052
"mineral resource"	0.0996546
horticulture	0.0994949
tobacco	0.0994174
fiber	0.0986883
gas	0.0986155
billet	0.0984788
industry	0.0982952
liquor	0.0975483
"building product"	0.0972066
farming	0.0969733
"cooking oil"	0.0969464
woodworking	0.0969059
"construction industry"	0.0967965
"sea food"	0.0966388
vitamin	0.0959169
ware	0.0958913
item	0.0951286
weaponry	0.0947047
porcelain	0.0944849
Pottery	0.0942856
"liquefied petroleum gas"	0.0937553
kitchenware	0.0936501
"aircraft part"	0.0930225
"sports equipment"	0.0927507
"canned food"	0.0927473
Housing	0.0926515
"coconut oil"	0.0925635
warehousing	0.0924968
agribusiness	0.0922502
"tv set"	0.0919617
munition	0.0919156
automation	0.0917917
"animal product"	0.0917858
"heating oil"	0.0917449
poultry	0.0916231
"life science"	0.0916084
shipping	0.0915955
"cashew nut"	0.0914776
petrol	0.0914678
component	0.0911592
ethylene	0.0910061
"diesel oil"	0.0909994
"steel plate"	0.0907575
infrastructure	0.0907309
vegetable	0.0903305
"mineral water"	0.0898893
banking	0.0898168
wheat	0.089677
cookware	0.0895928
merchandise	0.0891851
"steel production"	0.0890336
"fuel oil"	0.0890076
"health food"	0.0890012
alloy	0.0888465
Plywood	0.0888404
medical	0.0884437
toiletry	0.0883647
))
("building permit" (desc 4511.86) (sims
"search warrant"	0.109458
licence	0.105398
"work permit"	0.104176
"summary judgment"	0.102759
"marriage license"	0.0935211
"Treasury bond"	0.0842531
zloty	0.0841266
"consumer price index"	0.0823136
"home sale"	0.0819215
"stay of execution"	0.0817734
"money supply"	0.077765
mortgage	0.0764732
"vehicle sale"	0.0764138
B-shares	0.075771
"producer price"	0.0757387
visa	0.0744437
"labor cost"	0.0744113
"Producer Price Index"	0.0720559
"three billion yuan"	0.0693567
pardon	0.0687476
"Straits Times Index"	0.0683308
"driver's license"	0.0683089
accreditation	0.0681857
DAX	0.0672801
"factory order"	0.0668707
"housing sale"	0.0664952
"loan application"	0.0657165
"leading indicator"	0.0655251
abatement	0.0649242
"durable goods"	0.0646153
"Hang Seng Index"	0.0641705
"Straits Times Industrials Index"	0.0637245
Orders	0.0629376
"more than @@ million yuan"	0.0628098
"Field Poll"	0.0624373
"food stamp"	0.0621718
waiver	0.0618709
"fishing license"	0.0616105
A-shares	0.0611916
"letter of credit"	0.0608489
"Bovespa Index"	0.0601001
passport	0.0598548
naturalization	0.0587257
Sensex	0.0583446
injunction	0.0578184
"retail sale"	0.0575515
"retail price index"	0.0574539
diploma	0.0571781
asylum	0.0569934
"Xetra Dax"	0.0567869
"preferred shares"	0.0567617
"identity card"	0.0562581
T-bonds	0.0561474
certification	0.0560919
commutation	0.0558536
"application form"	0.0557845
"season ticket"	0.0550526
"medicare payment"	0.0547234
"savings bond"	0.0546312
"B share"	0.054505
"Hang Seng"	0.0544819
"ordinary shares"	0.0544665
zoning	0.0542371
"convertible bond"	0.0540818
"financial aid"	0.0538043
"over @@@ million US dollars"	0.0537554
"CAC @@"	0.0536331
"arrest warrant"	0.0534404
Eurobonds	0.0532283
"New Zealand dollar"	0.0526484
"export credit"	0.0522821
"revenue bond"	0.0522583
"over @.@ billion yuan"	0.0521172
"Hang Seng China-Affiliated Corporations Index"	0.0517519
"aircraft order"	0.0514499
CAC-@@	0.0512618
"purchase order"	0.0511749
"permanent normal trade relations"	0.0510642
"Dow Jones Industrial Average"	0.0508532
"price index"	0.0506846
"capital investments"	0.050062
"elephant population"	0.050031
lending	0.0499501
"stock certificate"	0.049717
"bankruptcy filing"	0.0496717
PNTR	0.0496003
rehearing	0.0495177
subscription	0.0494258
"patent right"	0.049131
CAC	0.0491299
enrolment	0.0491272
"common stock"	0.0491039
"Treasury note"	0.0490579
reinstatement	0.0489338
"wage increase"	0.0488837
"spare part"	0.048629
MFN	0.048463
"Tokyo Stock Price Index"	0.0482405
STI	0.0482207
"insurance policy"	0.0482036
"trade surplus"	0.0478775
citation	0.0477239
"waiting list"	0.0477043
"five billion yuan"	0.047584
citizenship	0.0475836
"preferred stock"	0.0474439
clemency	0.0473043
"more than @ billion yuan"	0.047098
authorization	0.0470705
fatwa	0.0470306
indices	0.0470165
outlay	0.0469764
"one billion yuan"	0.046805
"data entry"	0.0465333
"tax credit"	0.0464031
"money order"	0.0463968
"over @@ billion yuan"	0.0463496
"Philippine Stock Exchange Index"	0.0462698
notification	0.0457584
"legal document"	0.0456885
"bank deposit"	0.0455105
"selling price"	0.0454956
birthrate	0.0454936
"share price"	0.045397
"speeding ticket"	0.0453336
invoice	0.0452742
mistrial	0.0452389
quorum	0.0452317
"four billion yuan"	0.045133
parole	0.0450527
"Iranian POWs"	0.0450139
"sales outlet"	0.044459
"bankruptcy protection"	0.0443388
ridership	0.0441976
"common shares"	0.0441361
"parking ticket"	0.0440949
blue-chips	0.0440106
"tax incentive"	0.0440076
wiretap	0.043976
registrant	0.0439757
"National Convention"	0.0436565
clearance	0.0435064
appropriation	0.0431657
"two million yuan"	0.0430993
"pretax profit"	0.0429124
FDI	0.0427676
"telephone directory"	0.0427435
"order form"	0.0426564
"water table"	0.0425729
summons	0.0424789
"Commonwealth Bank"	0.0424011
"hospital care"	0.0423359
"retail price"	0.0422546
PPI	0.0422433
residency	0.0421348
"machine tool"	0.0420988
sucre	0.0419691
"consumer goods"	0.0417966
"Drought Relief Headquarters"	0.0417401
"disability benefit"	0.0417244
"official document"	0.0417144
"two billion yuan"	0.0416765
fast-track	0.0416171
"non-performing loans"	0.0415869
easement	0.0415683
"parking space"	0.041487
"Philippine peso"	0.0413933
inpatient	0.0413635
"steel production"	0.0413633
coupon	0.0413246
"insurance premium"	0.0412814
"Export Processing Zones"	0.0411952
"asking price"	0.0411672
booking	0.041105
B-@s	0.0410734
NTR	0.0409696
"one billion US dollars"	0.0409084
dwelling	0.0408288
"finding of fact"	0.0407692
M@	0.0406957
"more than @@.@ billion yuan"	0.0406817
"down payment"	0.0406573
"absentee ballot"	0.0405332
"personal income"	0.0404745
Emigration	0.0403734
GSP	0.0403592
"commercial paper"	0.040225
Ordinance	0.0400906
disbursement	0.0400874
enrollment	0.0400634
"more than @@@ billion yuan"	0.0400166
))
("building product" (desc 1029.64) (sims
"specialty chemical"	0.187107
"consumer product"	0.143967
"consumer electronics"	0.120741
"scientific instrument"	0.118218
Telecoms	0.115131
"home appliance"	0.110652
"communications equipment"	0.107403
semiconductor	0.107284
cookware	0.104362
"wireless telephone"	0.102428
wallboard	0.101557
automation	0.100529
"test equipment"	0.0998371
newsprint	0.0993785
"computer equipment"	0.0991818
"civil engineering"	0.098512
"computer hardware"	0.097537
"building material"	0.0972066
"aircraft engine"	0.096924
"pet food"	0.095969
"consumer goods"	0.0953994
copier	0.0952797
petrochemical	0.0942187
"computer system"	0.0935598
"disk drive"	0.0920586
"investment banking"	0.0870248
"jet engine"	0.0859578
Duracell	0.0853951
"snack food"	0.0853731
diagnostics	0.0853542
"household appliance"	0.0851712
"power tool"	0.0851322
plumbing	0.0847735
"passenger car"	0.084552
vending	0.0843944
confectionery	0.0838123
shipbuilding	0.0835409
roofing	0.0832961
"electronic equipment"	0.083146
metallurgy	0.0825495
sheetrock	0.0819601
Microelectronics	0.0812688
"sports equipment"	0.0808121
beverage	0.0786871
"Weight Watchers"	0.0785521
"office furniture"	0.0782253
Cyrix	0.0781221
flooring	0.0775689
Searle	0.0767979
"hearing aid"	0.0760589
"oreo cookie"	0.0759262
"life science"	0.0746214
"mail order"	0.0731292
midsize	0.0730972
aerospace	0.0717871
Marconi	0.0714409
sportswear	0.0710042
stationery	0.0698044
"interior decoration"	0.0697419
reinsurance	0.0695477
syndication	0.0695124
"aircraft part"	0.0685448
"First USA"	0.0682219
Frito-Lay	0.0677911
"memory chip"	0.0677346
router	0.0670016
"cellular telephone"	0.0669228
agronomy	0.0668219
"diesel engine"	0.0666698
business-to-business	0.065854
"mainframe computer"	0.0653584
machine-building	0.0652859
"golf equipment"	0.0643155
"fiber optics"	0.0642519
"community newspaper"	0.0640644
sawmill	0.0637794
warehousing	0.063395
"food product"	0.0632745
landscaping	0.0628196
workstation	0.0616875
"Kraft Foods"	0.0614944
"Eastern European"	0.0603216
"bricks and mortar"	0.0598649
videogame	0.059764
"gas turbine"	0.0596374
refrigeration	0.0596232
DSP	0.059585
"chemical industry"	0.0594789
"information service"	0.0590025
"software product"	0.0589347
"chain store"	0.0588815
Kleenex	0.0586454
"communications service"	0.0586404
catering	0.0582718
"central heating"	0.05769
lubricant	0.057427
refining	0.0572333
"Hughes Electronics"	0.0571414
Babcock	0.0571347
"machine tool"	0.0567763
"skin care"	0.0564549
Tropicana	0.0563595
"hand-held computer"	0.0563443
"frozen food"	0.0558274
sheepskin	0.0556179
Sunnyvale	0.0555622
telemarketing	0.0552449
leasing	0.0549537
Propulsid	0.0549213
"synthetic fiber"	0.0545576
"bond trading"	0.0544305
"data communication"	0.0542504
carpentry	0.053954
"water heater"	0.0539277
"public utility"	0.0537847
REALTY	0.0537446
bioengineering	0.0536873
"hand tool"	0.0536414
eyewear	0.0534063
"frozen foods"	0.0533955
Braun	0.0533234
drywall	0.0532319
"investment trust"	0.0531565
forklift	0.053146
"consumer credit"	0.0528629
Cray	0.0528502
"Sprint PCS"	0.0521739
turbine	0.0521397
Trucking	0.0521315
dot.com	0.0521291
"Top @@@"	0.052033
agribusiness	0.0519551
"Land Rover"	0.0518555
"cinder block"	0.0513028
"potato chip"	0.0512112
forwarding	0.0510911
"circuit board"	0.0510553
generics	0.0508388
"alcoholic beverage"	0.0506677
minicomputer	0.0504039
fastener	0.0499605
"charge card"	0.0497884
multibillion	0.0497309
menswear	0.0495311
Gatorade	0.0494998
toiletry	0.0494638
CUC	0.0494478
housewares	0.0491374
polyethylene	0.0484658
glassware	0.0482645
cushioning	0.0481909
"land development"	0.0479861
"theatrical production"	0.0479767
"Pepsi Cola"	0.0476244
tailoring	0.0474913
dram	0.0474756
"integrated circuit"	0.0474056
Lukoil	0.0472827
Marlboros	0.0472265
non-Indian	0.0470593
Avonex	0.0466758
avionics	0.0466203
"Learning Company"	0.0466181
aeronautics	0.046576
"regular army"	0.0465169
"medical instrument"	0.0460481
counterterrorism	0.0460376
"dry cleaning"	0.0459511
inpatient	0.0458503
"securities trading"	0.0456389
"sewing machine"	0.0455625
tableware	0.0453466
"telecommunication system"	0.0450937
abacus	0.0450059
"United Technologies"	0.0448712
purifier	0.0448374
U.K.	0.0447788
Stratus	0.0446302
Sibneft	0.0445874
"power system"	0.0444783
Kraus	0.0443913
"Aetna U.S. Healthcare"	0.0443907
Uunet	0.0443615
compressor	0.0443424
rattan	0.0439722
woodworking	0.0437291
"baseball card"	0.0436834
"data processing"	0.043646
knitting	0.0435074
Unix	0.0434919
"precious metal"	0.04325
"Pratt &AMP; Whitney"	0.0432368
Sogo	0.0430712
aftermarket	0.0429575
Emeryville	0.042943
factoring	0.0428953
"household product"	0.0428382
Astroturf	0.0428103
Prilosec	0.0425774
"fresh food"	0.0424625
))
("building site" (desc 2734.47) (sims
"Miller Park"	0.0833538
"car park"	0.0632807
"railroad station"	0.0621333
"copper mine"	0.0619347
"printing company"	0.0591966
"Hilton Hotel"	0.0588585
smelter	0.0586013
"National Library"	0.0584783
crematorium	0.0581642
"oil rig"	0.057833
"bomb site"	0.0560842
"parcel of land"	0.055828
"treasure house"	0.0556375
gravesite	0.055393
"pumping station"	0.0547154
"Three Mile"	0.0541514
mortuary	0.0539709
"fraternity house"	0.0539033
"collective farm"	0.053285
"navy base"	0.0521167
"Palace Museum"	0.0520087
"gas plant"	0.0517236
"machine shop"	0.0516884
shipyard	0.0514203
"Brandenburg Gate"	0.0513762
VISTEON	0.0510707
"dairy farm"	0.0508902
"LPGA Championship"	0.050767
"jewelry store"	0.0506731
"work camp"	0.0505992
"tea house"	0.0505756
brothel	0.050347
"National Missile Defense"	0.0502213
"US Embassy"	0.0485917
"shopping center"	0.0483396
bog	0.0482696
"gas line"	0.0481221
nunnery	0.0481061
"apartment house"	0.0479268
"Cedar Lodge"	0.0477454
sawmill	0.0477158
campground	0.0475098
dealership	0.0475035
"white elephant"	0.0473795
"First Avenue"	0.0471092
"coffee bar"	0.0468929
"parking area"	0.0468453
"Huangpu River"	0.0465855
"place of worship"	0.0465537
"army base"	0.0462904
morgue	0.0462028
"industrial park"	0.045991
"open-air market"	0.0458865
"tourist hotel"	0.0457358
"Suzhou Industrial Park"	0.0454214
brewery	0.0453211
All-Americans	0.0453177
U-boat	0.0452845
"Olympic Park"	0.0451719
slaughterhouse	0.0449761
"Christian church"	0.0449309
"beauty salon"	0.0449119
"firing range"	0.0448419
campsite	0.0446204
polluter	0.0445552
"command post"	0.0445019
riverbed	0.0444892
"funeral home"	0.0444818
"water table"	0.0443722
"savings bank"	0.0443357
"trailer park"	0.0442456
"shooting range"	0.0442292
"sea lane"	0.0440639
"truck stop"	0.0440201
"Forbidden City"	0.0439922
"chain store"	0.0439486
sanitarium	0.0438348
"top officer"	0.0434552
"police office"	0.0432997
"railway station"	0.0432571
"Angkor Wat"	0.0429976
"repair shop"	0.0427054
aquifer	0.0426896
"amusement park"	0.0425878
hangar	0.0425325
kibbutz	0.0425029
"catchment area"	0.0423976
harbour	0.0423974
delicatessen	0.0423589
"polling place"	0.0423435
mausoleum	0.0423013
Cavalese	0.0421538
"Print Shop"	0.0420568
nightspot	0.041968
quarry	0.041833
"field hospital"	0.0417185
"X Games"	0.0416737
"bomb shelter"	0.0416384
Bund	0.0416339
discotheque	0.0413017
megaplex	0.041237
"nuclear reactor"	0.0412212
"body of water"	0.0412047
foundry	0.0412006
"liquor store"	0.0410722
"filling station"	0.0410418
franchisees	0.0408948
"navy yard"	0.0408725
drugstore	0.0408611
"music school"	0.0408265
"World Trade Center"	0.0407624
hacienda	0.0406722
"police lieutenant"	0.040614
"burial site"	0.0405322
knucklehead	0.0404174
"Dulles International Airport"	0.0403585
frontlines	0.0401626
"Hong Kong International Airport"	0.040157
"tax liability"	0.0401018
"athletic field"	0.0400417
))
("building society" (desc 2190.71) (sims
"life insurer"	0.141882
"finance company"	0.138461
"merchant bank"	0.131458
"brokerage house"	0.128692
thrift	0.127382
"credit union"	0.119913
"insurance firm"	0.113122
"credit bureau"	0.111193
"investment house"	0.107154
"savings bank"	0.102621
issuers	0.101136
"Citigroup Inc."	0.0974879
"brokerage firm"	0.0954241
"home builder"	0.0953487
"commercial bank"	0.0950539
Menatep	0.0949282
"department store chain"	0.0904503
steelmaker	0.0892955
brokerage	0.0860504
lender	0.0859708
"Sumitomo Bank"	0.0847237
"auto company"	0.0845472
ABSA	0.0844955
"Thai Farmers Bank"	0.0828139
"Industrial Bank of Japan"	0.0799587
"charge card"	0.0798264
meatpackers	0.0796599
"insurance company"	0.0796396
state-owned	0.0794962
"trust company"	0.0778854
Banks	0.0775737
drugmaker	0.0773891
insurer	0.0773591
"Dresdner Bank"	0.0758254
"national bank"	0.0755989
drugmakers	0.0755126
"savings and loan"	0.0753489
refiner	0.0751963
"Standard Chartered Bank"	0.0746479
chaebol	0.0720729
corporates	0.0714174
Dresdner	0.0711146
"HSBC Holdings"	0.0710653
"defense contractor"	0.070595
"cable operator"	0.069888
"electric company"	0.069804
"flour mill"	0.0692049
"Russian bank"	0.0687057
parastatals	0.0686801
issuer	0.0685371
"Department of Trade and Industry"	0.0683047
"pension fund"	0.0681528
Barclays	0.0678757
multinationals	0.0677133
"commercial enterprise"	0.0663837
toymaker	0.0663822
cannery	0.0661505
"telephone company"	0.0660164
"futures exchange"	0.0659942
vote-getters	0.0655453
"UN agency"	0.0653075
carmakers	0.0651617
"Chevron Corp."	0.0648388
"FTSE @@@"	0.0646027
"car maker"	0.0643678
polluter	0.0643533
"Deutsche Bank AG"	0.0643105
"business organization"	0.0642157
"toy maker"	0.0635904
debtor	0.0635639
abattoir	0.0635562
shipbuilder	0.063096
"Bank of Israel"	0.0627853
CPF	0.0625921
borrower	0.0625177
"power company"	0.0624248
"market maker"	0.0622581
"toy retailer"	0.0620104
Realtor	0.0616785
DKB	0.0613778
NatWest	0.0612343
metropolises	0.0611779
automakers	0.060808
"financial organization"	0.0606674
"health maintenance organization"	0.0606071
"Special Economic Zones"	0.0605036
"tabloid newspaper"	0.0603463
"lending institution"	0.0603355
SDB	0.0602274
motorway	0.0601737
"telephone operator"	0.0600001
"bank holding company"	0.0599714
"electronics company"	0.059767
chaebols	0.0596323
"shipping company"	0.0594911
"Sakura Bank"	0.0594893
"Vodafone Airtouch PLC"	0.0591696
"Dai-Ichi Kangyo Bank"	0.0589335
"three schools"	0.0587941
"publishing house"	0.0587177
"private foundation"	0.0586812
"bank failure"	0.058643
"No. @s"	0.0586322
"Deutsche Bank"	0.0585942
sub-branches	0.0585229
"Bank of Tokyo-Mitsubishi"	0.0583366
"Oak Tree"	0.0583143
"Washington Mutual"	0.0583003
"Wells Fargo"	0.0581773
"auto maker"	0.0581693
"margin call"	0.0580718
highflier	0.0580241
Generali	0.0580202
"state enterprise"	0.0578461
WPP	0.0577965
"Credit Suisse"	0.0575661
"Agricultural Bank of China"	0.057431
aldermen	0.0573717
"special economic zone"	0.0570662
"Standard Chartered"	0.0569323
"medical institution"	0.0568541
guardsmen	0.0568469
"industrial enterprise"	0.056776
carmaker	0.056744
Eximbank	0.0563407
nonprofits	0.0561705
"Medicare HMOs"	0.0560652
"closed-end fund"	0.0559238
"Chase Manhattan Bank"	0.0556364
"banking company"	0.0555257
"drug maker"	0.0554709
"Chase Manhattan"	0.0553343
"State Administration of Foreign Exchange"	0.055216
"Bank of Japan Ltd."	0.0551212
"Commonwealth Bank of Australia"	0.0551113
"Texas Democrats"	0.0550686
"BellSouth Corp."	0.0550278
"construction industry"	0.0549943
"Bank of America"	0.0546396
"Enron Corp."	0.0545608
FOMC	0.0543307
Thyssen	0.0542339
"Princess Anne"	0.0541441
"opera company"	0.0540338
soliders	0.0540271
"educational institution"	0.0537838
homebuilder	0.0537219
"retail chain"	0.0535911
"Home Secretary"	0.0535644
"Monetary Policy Committee"	0.053329
"Fleet Financial Group"	0.0532469
bureaux	0.0532362
"steel company"	0.0531542
Deutsche	0.0531461
"Philippine Central Bank"	0.0530751
bondholder	0.0530604
REIT	0.0528815
"newspaper publisher"	0.0526596
"accounting firm"	0.0525628
"Vodafone AirTouch"	0.0524225
"state-owned enterprises"	0.0520658
pensioner	0.0520412
"copper mine"	0.0520311
Sumitomo	0.0519168
"Ministry of Defense"	0.0518603
"car manufacturer"	0.0515929
"Bankers Trust Corp."	0.0515366
"High Commission"	0.0512486
"bus company"	0.0511414
"Medicare HMO"	0.0511158
"elephant population"	0.0510018
"Civil Aviation Authority"	0.0509802
"Advanced Micro"	0.0508097
"car dealer"	0.0508046
"United Way"	0.0506085
depositor	0.0505948
"semiconductor maker"	0.0504811
"luxury liner"	0.0503954
"Baby Bells"	0.0502311
UBS	0.0499667
nonwhites	0.0498976
"food company"	0.0498504
small-business	0.0498313
"chain store"	0.0494641
"Protestant denomination"	0.0494042
"travel agency"	0.0493452
"monetary fund"	0.0490776
"Societe Generale"	0.0485398
Commerzbank	0.0483782
"African Development Bank"	0.0483072
lawmen	0.0480456
"reserve bank"	0.0480389
co-chairs	0.0479756
"mining company"	0.0479556
SunTrust	0.0478351
BSF	0.0476467
"three pitchers"	0.0476298
YankeeNets	0.047408
Checkfree	0.0472318
"Hang Seng Bank"	0.0471642
))
(buildup (desc 36320.9) (sims
build-up	0.151183
deployment	0.12533
accumulation	0.120775
escalation	0.107317
"military action"	0.10472
reduction	0.10005
deterioration	0.097132
leak	0.0922303
concentration	0.0903348
expansion	0.0902626
instability	0.0900804
"arms race"	0.0887613
Proliferation	0.0886903
tension	0.0867475
erosion	0.0863339
depletion	0.0844342
shortage	0.0832854
intervention	0.0828746
presence	0.082851
leakage	0.0821036
aggression	0.0819743
drawdown	0.0808506
activity	0.0799933
consolidation	0.0795747
destruction	0.0795605
development	0.0790135
incursion	0.078205
absorption	0.0781196
crackdown	0.0774601
cutback	0.0771887
breakdown	0.0767911
slowdown	0.0767095
unrest	0.0765906
run-up	0.0759945
"air attack"	0.0756984
degradation	0.0751898
pollution	0.0751866
surge	0.0751375
preparation	0.0747806
invasion	0.0746562
emission	0.0743864
modernization	0.0743775
confrontation	0.073524
airstrikes	0.0732976
growth	0.0730103
bombardment	0.0728282
disruption	0.072663
influx	0.0725992
contamination	0.0724583
hostility	0.0724091
flow	0.072314
"rapid growth"	0.0717546
depreciation	0.0715005
devaluation	0.0714928
exodus	0.0712946
crisis	0.0711517
withdrawal	0.0711235
oversupply	0.0708779
action	0.0702919
"military force"	0.070045
volatility	0.0696891
"military campaign"	0.0696338
bloodshed	0.0695454
violence	0.0691494
congestion	0.0688242
Liberalization	0.0687741
conflict	0.0685858
spill	0.0680423
exploitation	0.0679343
involvement	0.0679159
downturn	0.0677931
downsizing	0.0677607
explosion	0.0676414
threat	0.0676241
catastrophe	0.0675732
"war game"	0.0675251
weakness	0.0675198
"price increase"	0.0673711
offensive	0.067348
provocation	0.0671063
removal	0.0669625
turbulence	0.066928
outbreak	0.0668852
famine	0.0665851
imbalance	0.0665123
"blood clot"	0.0664625
stockpile	0.0664357
layoff	0.066302
maneuver	0.0660855
adjustment	0.0659583
bombing	0.0657363
collapse	0.0656501
readiness	0.0655978
recovery	0.0655046
clash	0.0648568
blockade	0.0648262
stationing	0.0647092
glut	0.0646875
shelling	0.0646625
exercise	0.0646095
strengthening	0.0645994
sell-off	0.0645707
blockage	0.0645
deregulation	0.0644495
pressure	0.0644444
exposure	0.0644284
movement	0.0642623
deforestation	0.0642009
shutdown	0.064149
stability	0.0641487
disturbance	0.0641216
dumping	0.0640387
repression	0.0640052
restructuring	0.0638664
"air raid"	0.0638411
reform	0.0637184
raid	0.0635281
turmoil	0.0634928
insecurity	0.0634894
crises	0.0633889
slide	0.0633652
improvement	0.0633067
shift	0.0631408
delay	0.0631269
lack	0.0630827
firing	0.0630018
drought	0.0629785
trend	0.0627683
operation	0.0627459
discharge	0.0626522
meltdown	0.0625898
rebuilding	0.0625493
shortfall	0.062414
Privatization	0.0622926
hike	0.0622644
formation	0.0621975
war	0.0621311
amount	0.0620157
stress	0.061838
boycott	0.0617103
situation	0.0613841
industrialization	0.0612568
destabilization	0.0611906
testing	0.0611887
terrorism	0.0611755
disarmament	0.0611441
recession	0.0611419
"budget cut"	0.0611334
pullout	0.0609976
embargo	0.0609251
disaster	0.0608583
pullback	0.0607986
upsurge	0.060798
upheaval	0.0607886
creation	0.0604191
emergence	0.0602962
looting	0.0602889
integration	0.0601307
"brain drain"	0.0600815
adventurism	0.0600578
initiative	0.0600542
breakup	0.0598885
enlargement	0.0598749
acceleration	0.0598732
deposit	0.0598532
sanction	0.0597112
fighting	0.059674
migration	0.059634
mobilization	0.0596316
onslaught	0.0593691
damage	0.059332
reinforcement	0.0593078
crunch	0.0591851
progress	0.0591344
deficiency	0.0590424
interference	0.0590084
eruption	0.0589083
isolation	0.0588589
fluctuation	0.0587524
production	0.0587408
smuggling	0.0586718
Implementation	0.0585928
policy	0.0585195
epidemic	0.0585056
litigation	0.058468
inflow	0.0584474
malfunction	0.0584386
construction	0.05841
violation	0.0582529
evacuation	0.05818
cancellation	0.0581538
turnaround	0.0579787
reorganization	0.0579745
chaos	0.0578604
cooperation	0.057824
takeover	0.0578054
"economic crisis"	0.0575558
uncertainty	0.0575133
casualty	0.0575012
boom	0.0574839
))
(Bujumbura (desc 7274.18) (sims
Dushanbe	0.240056
Srinagar	0.204574
Asmara	0.200801
Kigali	0.195129
Tbilisi	0.190826
Kabul	0.187522
Windhoek	0.178975
Maseru	0.176555
"Guatemala City"	0.176381
Skopje	0.174352
Mbabane	0.169883
Luanda	0.16723
Chisinau	0.165181
Dili	0.164407
Khartoum	0.164273
Monrovia	0.162289
Minsk	0.159145
Freetown	0.157809
Algiers	0.157306
Riyadh	0.157108
"Addis Ababa"	0.155447
Kinshasa	0.151752
Moroni	0.151717
TIRANA	0.150744
BOGOTA	0.150665
Sarajevo	0.149324
Pretoria	0.148027
SANAA	0.146702
"La Paz"	0.146556
Asuncion	0.145269
Lusaka	0.145087
Tripoli	0.145045
"Phnom Penh"	0.144223
Jayapura	0.143161
Suva	0.142988
Yerevan	0.14019
Kuito	0.139902
Grozny	0.13968
KAMPALA	0.139589
Accra	0.138928
ZAGREB	0.138474
Bangui	0.137815
Honiara	0.137746
Mogadishu	0.137626
Beirut	0.137326
Bissau	0.137318
Tehran	0.136634
Gaborone	0.135388
"San Salvador"	0.134926
Podgorica	0.134278
Amman	0.134123
KIEV	0.133908
Abidjan	0.13298
HARARE	0.132779
COLOMBO	0.132477
Dakar	0.131206
MANAMA	0.131015
Pristina	0.130909
SOFIA	0.129777
Islamabad	0.128945
Ambon	0.128861
Manado	0.128687
Jakarta	0.127368
"Santo Domingo"	0.12717
Hyderabad	0.126905
Belfast	0.126789
Managua	0.126638
CARACAS	0.126441
Vladikavkaz	0.126162
Goma	0.12518
Vilnius	0.124942
Havana	0.124625
Tashkent	0.124333
MAPUTO	0.123428
JOHANNESBURG	0.123014
Peshawar	0.122995
Nairobi	0.122756
Lima	0.122389
Bishkek	0.121952
BUCHAREST	0.121504
Brazzaville	0.121035
HANOI	0.121022
"Port Moresby"	0.120841
Rabat	0.120239
Santiago	0.120137
Baku	0.119306
Baghdad	0.119231
Durban	0.118953
"Dar es Salaam"	0.118762
Arusha	0.118097
Quito	0.118068
DHAKA	0.117602
SEOUL	0.11755
Bamako	0.117501
TEGUCIGALPA	0.11738
BELGRADE	0.117121
Juba	0.116958
YANGON	0.115099
ANKARA	0.115048
Vientiane	0.114598
Kandahar	0.114252
"New Delhi"	0.11405
Katmandu	0.113827
"Tel Aviv"	0.113707
Kisangani	0.113336
Doha	0.11315
Mazar-e-Sharif	0.113011
Lome	0.112855
Port-au-Prince	0.112714
CAIRO	0.112018
Taloqan	0.11116
Karachi	0.110984
"Cape Town"	0.110709
PYONGYANG	0.109982
Dublin	0.109328
Prague	0.109311
Jalalabad	0.10866
Murmansk	0.108282
Abuja	0.108256
Oslo	0.10823
BRATISLAVA	0.107696
Kindu	0.107689
Muscat	0.107222
LISBON	0.107177
PATNA	0.106777
Mankulam	0.106076
Damascus	0.105412
"Kuala Lumpur"	0.10528
Brisbane	0.104736
Lahore	0.104214
Perth	0.103994
Astana	0.103599
"Mexico City"	0.103547
Lagos	0.103499
Ljubljana	0.101872
Ramallah	0.101688
"Buenos Aires"	0.101276
Lhokseumawe	0.101107
Bangkok	0.1009
Bern	0.100853
Tapachula	0.100792
BUDAPEST	0.100412
Yaounde	0.100341
WARSAW	0.100131
TUNIS	0.0999484
NICOSIA	0.0994104
Kupang	0.0986378
Lucknow	0.0970879
"San Juan"	0.0964486
Djakovica	0.0958546
Quetta	0.0950786
BRUSSELS	0.0949334
Makhachkala	0.0949102
ATHENS	0.094567
Moscow	0.0941915
Manila	0.0940214
Halifax	0.0937814
Gudermes	0.0932926
Lubumbashi	0.0930013
Taipei	0.0927962
Burundi	0.0927738
Bukavu	0.0924348
Kathmandu	0.0917971
Vladivostok	0.091729
Huambo	0.0912139
Conakry	0.0902301
BRASILIA	0.089952
Tokyo	0.0896592
Medellin	0.089377
Baidoa	0.089107
Mombasa	0.088922
Frankfurt	0.087991
Jaffna	0.0878238
"Egyptian capital"	0.0876128
Wellington	0.0875856
MELBOURNE	0.0866283
Lhasa	0.0865069
Calcutta	0.0863224
"Banja Luka"	0.0861226
Copenhagen	0.0861193
Tallinn	0.0861042
Madras	0.0860917
Kigoma	0.0859482
Bombay	0.0856735
Saigon	0.0853617
Berne	0.085361
Surabaya	0.0853109
Istanbul	0.0848092
Libreville	0.0846549
"Albanian capital"	0.0842457
Kunming	0.0842102
"Oklahoma City"	0.0842097
Uvira	0.0840587
"Russian capital"	0.0836485
Amsterdam	0.083272
Ouagadougou	0.083232
Madrid	0.0831975
Geneva	0.0830546
Teheran	0.0827095
"Little Rock"	0.0825911
))
(Bukavu (desc 6045.62) (sims
Uvira	0.248901
Goma	0.247837
Kalemie	0.231914
Taloqan	0.191071
Kisangani	0.18878
Kindu	0.158455
Matadi	0.154899
Mankulam	0.154645
Juba	0.149217
Makeni	0.140331
Jayapura	0.136891
Kilinochchi	0.133603
Lubumbashi	0.129077
Kismayu	0.126681
Batticaloa	0.122793
Tapachula	0.122381
Gudermes	0.122195
Manado	0.12173
Baidoa	0.119913
Mazar-e-Sharif	0.118685
Srinagar	0.117449
Hyderabad	0.116648
Bamiyan	0.116509
Posoltega	0.114388
Kuito	0.114199
Gisenyi	0.113544
Jalalabad	0.112224
Decani	0.11129
Trincomalee	0.11023
"San Pedro Sula"	0.107216
Charikar	0.105759
Orahovac	0.105737
Kigali	0.104179
Vavuniya	0.103095
Lhokseumawe	0.101505
Peshawar	0.10146
Gnjilane	0.100932
Limassol	0.100831
Prizren	0.100794
Marjayoun	0.100774
Jaffna	0.0997882
Brazzaville	0.0978767
Argun	0.0977543
Durres	0.0967154
Urosevac	0.0960717
"Suva Reka"	0.0947826
Pailin	0.0946171
Ashkelon	0.0942574
Atambua	0.0937316
Mazar-i-Sharif	0.0936986
Quetta	0.0932497
"La Paz"	0.0929747
Rafah	0.0927478
Bujumbura	0.0924348
Kailahun	0.0923239
Jenin	0.0919743
Badme	0.0918823
Gulu	0.0918061
Mullaitivu	0.0915795
Ensenada	0.0914597
"Banja Luka"	0.0913637
Kabul	0.0912117
Shali	0.0910279
Kismaio	0.0909749
Mosul	0.0908952
"Guatemala City"	0.0908695
Irbil	0.0904236
"Anlong Veng"	0.0901766
Kinshasa	0.0901511
Golcuk	0.0892575
Beersheba	0.0885646
Aswan	0.0885388
Huambo	0.088497
Dili	0.0879852
Mashhad	0.087872
PEC	0.0876378
Djakovica	0.0872295
Nablus	0.0869075
Ambon	0.0866103
TIRANA	0.0863998
Warri	0.0855021
Utica	0.0849347
Kizlyar	0.0847978
Merca	0.0847308
Durban	0.0843414
Podujevo	0.0842651
Izmit	0.0841451
Dushanbe	0.084071
Leskovac	0.0833268
Kisumu	0.0831826
Vladikavkaz	0.0829106
"Novi Sad"	0.0825321
Grozny	0.082073
Larnaca	0.0818965
Kandahar	0.0818603
Cacak	0.0818229
Najaf	0.0818082
Astana	0.0814792
Quito	0.0812507
Nabatiyeh	0.080848
Urus-Martan	0.0807481
Casas	0.0806761
Andulo	0.080356
Adana	0.0798256
Hillsboro	0.0797048
Ramallah	0.0796691
Kupang	0.0793576
Pristina	0.0792769
NIS	0.07895
Malisevo	0.0786424
Saida	0.0786043
Baotou	0.0785875
Asmara	0.0783956
Shiraz	0.0783945
Beira	0.0783153
"San Cristobal"	0.0782547
Sidon	0.078056
Tachilek	0.0779211
Mombasa	0.0778691
Kukes	0.0778595
Kenema	0.0777573
Kandy	0.0773956
Bissau	0.0772113
Youngstown	0.0771973
Algiers	0.0771234
Freetown	0.0771122
Junik	0.0769741
Nago	0.0763916
Mostar	0.0763731
Skopje	0.0761009
Suva	0.0759706
Murmansk	0.0758702
Paranthan	0.0758614
Basra	0.0758044
"Santo Domingo"	0.0756618
Antalya	0.0755028
Haifa	0.0753855
Pereira	0.0753621
Guayaquil	0.0752269
Dundalk	0.0748161
Entebbe	0.0747225
"Kosovska Mitrovica"	0.0746338
Mogadishu	0.0744693
Novosibirsk	0.0743889
airbase	0.0743513
Ibadan	0.0740961
Naples	0.0736103
"Addis Ababa"	0.0735714
Baalbek	0.0734953
Khabarovsk	0.0734145
Dubrovnik	0.0732517
Kigoma	0.0730953
stronghold	0.0728067
Multan	0.0727952
Odessa	0.0725257
Shashi	0.0724305
SANAA	0.0723409
Medellin	0.0723212
BOGOTA	0.0720507
Bulawayo	0.0720119
Srbica	0.0714687
Podgorica	0.0714586
Sanya	0.0707293
"San Salvador"	0.0706574
Mitrovica	0.0703262
Kragujevac	0.0701942
Bengkulu	0.0699338
Jezzine	0.0698561
Turpan	0.069732
Monrovia	0.0697014
Ismailia	0.0693729
KAMPALA	0.0692398
"Port Moresby"	0.069236
"Del Rio"	0.0691829
Sochi	0.0690771
"San Sebastian"	0.0689609
Tuzla	0.0689504
Jeddah	0.0689328
Belfast	0.0688918
Talipao	0.0688014
TEGUCIGALPA	0.0686193
Moshi	0.0681989
Americus	0.0681194
Katmandu	0.0680107
Pelham	0.0679987
Vitoria	0.0676393
Vladivostok	0.0672689
Yinchuan	0.0672682
Jericho	0.067192
Makhachkala	0.0670668
Port-au-Prince	0.0670344
Qom	0.0667552
Lhasa	0.0667341
Riyadh	0.066636
Wenzhou	0.0665506
"CHIANG MAI"	0.0665176
Londonderry	0.0663565
Luoyang	0.0663148
Pancevo	0.0663089
Catania	0.0663003
))
(Bulatovic (desc 1733.82) (sims
Buthelezi	0.195887
Tarawneh	0.190224
Kasyanov	0.189541
Chevenement	0.188295
Kasoulides	0.184138
Rodionov	0.175882
Ruehe	0.167317
Lazarenko	0.164272
Hodler	0.163995
Yadav	0.162219
Meguid	0.161452
Velayati	0.161328
Orban	0.15643
Alatas	0.15586
Nkomo	0.155337
Zou	0.152744
Husseini	0.152288
Izetbegovic	0.151861
Katsav	0.150397
Stepashin	0.150339
Schuessel	0.149905
Ecevit	0.1495
Nzo	0.149083
Majko	0.148015
Ciampi	0.147116
Koehler	0.147114
Sergeyev	0.14692
Nateq-Nouri	0.146562
Papandreou	0.146212
Dodik	0.145305
Mordechai	0.143805
Havelange	0.143157
Harmoko	0.141803
Brittan	0.140882
"de Charette"	0.139968
Kinkel	0.139729
Maslyukov	0.139541
Eizenstat	0.138912
Nano	0.138785
Jovanovic	0.138373
Demaci	0.138145
Nemtsov	0.137798
Mandelson	0.137668
Abdel-Meguid	0.13692
Meciar	0.136766
Rifkind	0.136388
Severino	0.135955
Mikhailov	0.13583
Diouf	0.135635
Lahoud	0.135478
Koirala	0.135473
Bhutto	0.135054
Jia	0.135049
Yastrzhembsky	0.13335
Erbakan	0.132949
Stoyanov	0.132305
Nouri	0.132137
Shaath	0.131768
Indyk	0.131668
"Kim Jong-pil"	0.131387
Nasrallah	0.130958
Akbar	0.130525
Tian	0.13043
Zeroual	0.130285
Jayakumar	0.129769
Duisenberg	0.129722
Chavalit	0.129708
Ouattara	0.129556
Hoss	0.129537
Klima	0.129364
Guerin	0.128735
Azizah	0.128519
Hajdari	0.128386
Aoki	0.128375
Singson	0.128306
Shevardnadze	0.128185
guo	0.128037
Chubais	0.127855
Kajiyama	0.127654
Ashrawi	0.127619
Malu	0.12728
Djukanovic	0.127103
Tsang	0.126258
Saleh	0.126241
Boueiz	0.126208
Zadornov	0.126046
Peres	0.125974
Moratinos	0.125683
Cem	0.125567
Mohajerani	0.125277
Arens	0.124655
Gargan	0.124561
Camdessus	0.124486
Krajisnik	0.124078
Raznatovic	0.124009
D'Alema	0.123672
Chuan	0.122899
Santer	0.122865
Berlusconi	0.122352
Fraga	0.121829
Kharrazi	0.121284
Sharansky	0.120774
Chaudhry	0.120059
Kono	0.11967
Beilin	0.119471
Iliescu	0.119385
NCEC	0.119184
Koch-Weser	0.119154
Wilhelm	0.118821
Obeid	0.118694
Alarcon	0.118692
Ileto	0.118622
Karimov	0.118048
Advani	0.118037
Luo	0.117983
Nujoma	0.117642
Nkabinde	0.117614
Granic	0.117575
Gerardi	0.117523
Blackmun	0.117094
Milutinovic	0.117055
Zhivkov	0.116552
Blatter	0.116409
Supachai	0.116045
Kagame	0.116018
Chiluba	0.115988
Zeng	0.115705
Guterres	0.11546
Seleznyov	0.115359
Rawabdeh	0.115198
Kaunda	0.114512
Yazdi	0.114117
Papon	0.113902
Dini	0.113862
Aznar	0.113776
Noboa	0.113387
Bhattarai	0.113359
Ahern	0.113187
Portillo	0.11286
Nazarbayev	0.112848
Tudjman	0.112835
Jayalalitha	0.112758
"Yuri Maslyukov"	0.112627
Leghari	0.112069
Sharif	0.111883
Mokhehle	0.111475
Klestil	0.11145
Basayev	0.111328
Buzek	0.110817
Nyerere	0.110728
wen	0.11049
Lari	0.110341
Slepian	0.11033
Siazon	0.110122
Shipley	0.110059
Ben-Ami	0.110011
Bildt	0.109972
Ikeda	0.109881
Shamshad	0.109617
Holl	0.109353
Zyuganov	0.109261
Vasile	0.109189
Berri	0.109123
Kiriyenko	0.108983
Chissano	0.108828
Fino	0.108636
Aziz	0.1084
Beazley	0.107555
Brazile	0.107425
Rakhmonov	0.107315
Arkan	0.107173
Boutros-Ghali	0.106427
Pangalos	0.106164
Yilmaz	0.106133
"Faisal Husseini"	0.106062
Bucaram	0.105941
Starovoitova	0.105866
Pustovoitenko	0.105839
Kyprianou	0.105723
Napolitano	0.105697
Ivanov	0.105579
Cao	0.10555
Aventajado	0.105307
Mori	0.10516
Wolfensohn	0.10512
Amato	0.104891
"John Prescott"	0.104777
Erekat	0.104696
Ikimi	0.104536
Garzon	0.104516
Krasniqi	0.104498
Deuba	0.104488
Vajpayee	0.104472
Kabariti	0.104413
Chernomyrdin	0.10435
Meles	0.104107
Mugabe	0.104059
Akayev	0.104006
Molinari	0.103802
Azad	0.103692
"Robert Aventajado"	0.10342
Hu	0.10333
MIYAZAWA	0.103284
Gowda	0.103048
Hashimoto	0.103028
"Speaker Ali Akbar Nateq-Nouri"	0.102783
Ebersol	0.102573
Musa	0.102571
Poplasen	0.102474
Verney	0.102367
Beye	0.102352
Wolfson	0.102085
Nebiolo	0.102015
Zhirinovsky	0.101834
Hajjarian	0.101785
DiCarlo	0.101766
Phieu	0.101729
Sassa	0.101641
Iger	0.101638
"Pandeli Majko"	0.101589
"Abdollah Nouri"	0.101466
Khalil	0.101409
Insulza	0.101329
Maurizi	0.101237
"Tariq Aziz"	0.101186
Musharraf	0.101181
Merkel	0.101174
Seselj	0.101006
Allard	0.100827
Hybl	0.100701
Leung	0.10068
Khamenei	0.100674
nance	0.100487
Moseley-Braun	0.100485
Moscoso	0.100442
Fernandes	0.100335
Dudayev	0.100213
Ghali	0.100206
Menem	0.100177
Sakakibara	0.100165
Primakov	0.100126
))
(Bulawayo (desc 2356) (sims
"San Pedro Sula"	0.159077
Midrand	0.151341
Medan	0.144676
Izmir	0.141447
Guayaquil	0.13508
Gudermes	0.133997
Tapachula	0.132556
Surabaya	0.128859
Mashhad	0.127168
BLANTYRE	0.126616
Jayapura	0.126561
Manado	0.125468
"Novi Sad"	0.125251
Kandy	0.12502
HARARE	0.124839
Mbabane	0.123928
Kuito	0.123041
Ndola	0.122706
NIS	0.122631
Lusaka	0.121795
Kisumu	0.121381
Mandalay	0.119354
Christchurch	0.118855
Antalya	0.118705
Medellin	0.117697
Yogyakarta	0.1165
Huambo	0.116425
Izmit	0.116317
Cochabamba	0.115648
Ibadan	0.115447
Shiraz	0.114853
Cali	0.114234
Cebu	0.112709
Gaborone	0.111341
Baotou	0.110713
CHANGCHUN	0.110499
MAPUTO	0.109468
Casas	0.109146
Weifang	0.109114
"CHIANG MAI"	0.109057
Beira	0.108485
Goteborg	0.108109
Sidon	0.107931
Jinja	0.106802
Juba	0.106611
Peshawar	0.106346
Novosibirsk	0.105443
Davao	0.104902
"Addis Ababa"	0.104511
Cyberjaya	0.104175
Durban	0.104169
Chennai	0.103657
TEGUCIGALPA	0.103379
Changsha	0.103255
Lucerne	0.103061
Krakow	0.103033
Fuzhou	0.102986
Lanzhou	0.102859
"Egyptian capital"	0.102857
"Banja Luka"	0.101793
Nablus	0.101672
Golmud	0.101582
Windhoek	0.101436
Yantai	0.101181
Shijiazhuang	0.100969
Zhangzhou	0.100868
Nago	0.100494
Haifa	0.0995285
Datong	0.0993959
Pretoria	0.0978152
Baalbek	0.0977879
Quanzhou	0.0977631
KAMPALA	0.0977048
Cartagena	0.0966433
Sanya	0.0965558
"Quebec City"	0.0964429
Bergen	0.0955797
Luoyang	0.0952995
Ensenada	0.0952534
Kigali	0.0951221
Guiyang	0.0948878
Lahore	0.0945095
Suzhou	0.0941734
Chengde	0.0941148
"Grand Forks"	0.0940238
Mombasa	0.0939328
JOHANNESBURG	0.0937799
Taiyuan	0.0933034
"Victoria Falls"	0.0929231
Pusan	0.0928099
"Iranian capital"	0.0926086
Wuxi	0.0921656
Monterrey	0.0921262
Cairns	0.0919409
Sapporo	0.0919058
Acapulco	0.091854
CHENGDU	0.0917018
Lubumbashi	0.0915674
Bengkulu	0.091239
Bandung	0.0910999
Klagenfurt	0.0909884
Turin	0.0908561
Saida	0.0905118
Quetta	0.0904726
Tangshan	0.0904269
Entebbe	0.0904224
Irbil	0.0902977
Xuzhou	0.0900705
Moshi	0.0899779
Londonderry	0.0898385
Shashi	0.0897216
Kuching	0.0896229
Golcuk	0.0894627
Karachi	0.0890033
Dushanbe	0.0888267
Anshan	0.0887329
Taloqan	0.0885857
Lianyungang	0.0885515
"Port Elizabeth"	0.0882315
Xian	0.0881453
Yichang	0.0881327
Kabwe	0.0880576
"Shenzhen City"	0.0879695
Aswan	0.0878398
Jinan	0.0878321
Rawalpindi	0.0877595
Xining	0.0877337
Catania	0.0875133
"Chiang Rai"	0.0874478
"San Salvador"	0.0874423
Harbin	0.0874396
Hangzhou	0.0872728
Vladivostok	0.0871684
Murmansk	0.0871207
Baoding	0.0868976
Accra	0.0868309
Luanda	0.0867378
Mosul	0.0866047
"Sao Paulo"	0.0861897
Gulu	0.0861491
Posoltega	0.0857291
"Malaysian capital"	0.0856483
Ashkelon	0.085299
"Hainan Province"	0.0850518
Abidjan	0.0850447
Dalian	0.0847157
Kitwe	0.0844574
Asuncion	0.0844499
"Port Harcourt"	0.084232
CARACAS	0.0842045
Qufu	0.0841909
Lhasa	0.0841887
"Ho Chi Minh City"	0.0839432
Vilnius	0.0839363
Ghent	0.0836992
Liuzhou	0.0833462
Qom	0.0832912
Istanbul	0.0829903
Hyderabad	0.0829643
Dearborn	0.0829583
Osaka	0.0829145
Lagos	0.082806
"La Paz"	0.0824934
Nagoya	0.0823257
Livingstone	0.0821296
Bushehr	0.0819886
Guilin	0.0819147
Salzburg	0.0818863
Alexandria	0.0818248
Basra	0.0816945
Langkawi	0.0816124
Port-au-Prince	0.0815822
Jalalabad	0.0813844
Vladikavkaz	0.0811834
DHAKA	0.0810596
"Kosovska Mitrovica"	0.0805239
Nanning	0.0804537
Ningbo	0.0798279
Nanchang	0.0795444
Matadi	0.0795168
Zhongshan	0.0794713
Minsk	0.0794433
Almaty	0.0791993
Makhachkala	0.0788362
Nakuru	0.0787219
Yokohama	0.0787129
Aachen	0.0783307
Haikou	0.0782903
Basle	0.0781743
Santiago	0.0780668
MELBOURNE	0.0778348
Adana	0.0777671
Kunming	0.077672
YANGON	0.0774377
Wenzhou	0.0774345
Beersheba	0.0774144
Chisinau	0.0773819
Yinchuan	0.07726
"Shah Alam"	0.077235
"Ciudad Juarez"	0.0772305
))
(bulb (desc 27639.4) (sims
"light bulb"	0.151111
lamp	0.133143
flower	0.109782
leek	0.103324
perennial	0.0992388
shrub	0.0990802
stalk	0.0969661
lightbulb	0.09422
stem	0.090722
leaf	0.0887411
tulip	0.0883032
lantern	0.0875683
Tuber	0.0875396
candle	0.087432
onion	0.0870977
vine	0.0865249
vegetable	0.086162
tomato	0.0854204
sapling	0.0851873
tree	0.0840335
seedling	0.0832137
light	0.0827044
blossom	0.080857
fruit	0.0785882
"red bell pepper"	0.0779186
herb	0.0773676
potato	0.0773121
peony	0.0759484
scallion	0.0754712
carrot	0.0750303
"green onion"	0.0740396
daffodil	0.0737965
zucchini	0.0735961
radish	0.0731807
"plum tomato"	0.072936
pansy	0.0722108
clove	0.0709833
"red onion"	0.0706254
eggplant	0.0698431
bloom	0.0692991
foliage	0.0691952
grass	0.0689264
mushroom	0.068666
lettuce	0.0682614
hydrangea	0.0681519
pear	0.0679414
celery	0.0678923
Garlic	0.0677025
mango	0.0676969
azalea	0.067683
tile	0.0676428
wildflower	0.0675457
amaryllis	0.0674043
Orange	0.0667053
tube	0.0666285
pumpkin	0.0658288
"garlic clove"	0.0656716
"bell pepper"	0.0655327
bean	0.0652881
berry	0.0652705
pot	0.0651025
cucumber	0.0650915
orchid	0.0647491
peach	0.0636654
seed	0.063246
headlight	0.0631684
"ground cover"	0.0625099
egg	0.062139
Bud	0.0614131
appliance	0.0611043
avocado	0.0610451
container	0.0609877
camellia	0.0609555
cloth	0.060842
artichoke	0.0607712
grain	0.0607711
Lighting	0.0606736
crop	0.0606388
battery	0.0603134
turnip	0.060309
fig	0.0601412
cotton	0.0597498
beet	0.0595102
lily	0.0594869
asparagus	0.0594607
cabbage	0.0589556
evergreen	0.0586286
lemon	0.058591
furniture	0.0584413
shallot	0.0583674
pea	0.0583643
banana	0.0583247
grape	0.0582866
"red pepper"	0.0581155
plastic	0.058038
blade	0.0580281
pipe	0.0579644
apple	0.0579517
pineapple	0.0579504
melon	0.0577527
ornament	0.057187
bread	0.0571266
corn	0.0570509
annual	0.0567165
flashlight	0.0564859
material	0.0563629
spinach	0.0562926
geranium	0.0562313
jalapeno	0.0561176
bottle	0.055763
pod	0.0557333
firework	0.05564
weed	0.0555871
refrigerator	0.0555655
Iris	0.0554767
petal	0.055399
pepper	0.0553028
wire	0.0551783
fish	0.0551775
box	0.0550422
sensor	0.0550081
Quince	0.0548999
meat	0.054856
parsnip	0.0548543
grapefruit	0.0545342
"green pepper"	0.0544646
chicken	0.0543223
root	0.0542882
"sugar cane"	0.0542675
"hot pepper"	0.0539632
metal	0.0536888
toy	0.0536079
neon	0.0535967
"picture tube"	0.0535294
sugarcane	0.0533903
variety	0.0533108
object	0.0532757
impatiens	0.0531004
twig	0.0530221
cake	0.0529696
button	0.0528192
RHUBARB	0.0525485
hyacinth	0.0524948
mirror	0.0524919
piece	0.0524644
tire	0.0522963
maize	0.0522797
sheet	0.0520661
Liquid	0.0519832
rice	0.0519378
pork	0.0519012
camera	0.0518665
Cherry	0.0518511
glass	0.0518292
wheat	0.0517962
item	0.0517054
sprout	0.0516963
slice	0.05161
kernel	0.0515048
"memory chip"	0.0514724
frond	0.0514117
ivy	0.0512786
fern	0.0512768
lime	0.0509814
olive	0.050861
rod	0.0507571
chocolate	0.0505131
cartridge	0.0505118
shoe	0.0505112
garden	0.0503567
air-conditioner	0.0503289
equipment	0.0502691
dot	0.0502289
fennel	0.050053
dish	0.0500254
color	0.0499748
jar	0.0498733
needle	0.0498204
balloon	0.0498114
rug	0.0496944
device	0.049655
Clothing	0.0496515
chiles	0.0496039
bag	0.0495034
"sweet potato"	0.0492421
vase	0.0490633
"green bean"	0.0490623
skin	0.0490452
valve	0.0489828
bone	0.0488959
crystal	0.048745
bed	0.0487294
fabric	0.048649
stove	0.0486169
cane	0.0484743
green	0.0484579
accessory	0.0483888
"chicken breast"	0.0482938
bouquet	0.048279
Basil	0.0482261
))
(Buldon (desc 3155.42) (sims
Cotabato	0.254898
Maguindanao	0.248887
"Central Mindanao"	0.216214
Talipao	0.157698
Basilan	0.155118
Mindanao	0.128632
"Southern Philippines"	0.122958
"Camp Abubakar"	0.104972
Batticaloa	0.0982354
Kisangani	0.0970648
Aceh	0.0970071
"Bekaa Valley"	0.0958738
Uvira	0.0957363
"Democratic Republic of Congo"	0.0934897
Abkhazia	0.0932973
"Democratic Republic of the Congo"	0.090458
"Eastern Province"	0.0900434
Decani	0.0896583
Mankulam	0.0895487
Batam	0.0868637
Carmen	0.0858355
Jolo	0.083049
"Northern Province"	0.0808989
Ambon	0.0805093
Norte	0.0799894
DRC	0.0793829
Trincomalee	0.0772592
Bamiyan	0.0745883
Katanga	0.073769
Gulu	0.0736399
Vavuniya	0.0730511
Atambua	0.0724792
Kargil	0.0718227
"Metro Manila"	0.070868
"North Caucasus"	0.0705674
Bissau	0.0700944
Jaffna	0.0694068
Kilinochchi	0.0681254
Kwazulu-Natal	0.0659683
Warri	0.0658391
Punjab	0.0654368
Hebron	0.0649812
"Yellow Sea"	0.0647937
Argun	0.0645574
Kindu	0.063939
Arua	0.0634328
Bukavu	0.062155
Mashhad	0.0621001
"Guinea Bissau"	0.0618842
"Rift Valley Province"	0.0618323
Sulu	0.0618019
Golcuk	0.0608474
Brazzaville	0.0607218
Davao	0.0605257
Limassol	0.0598659
Orahovac	0.058994
Makeni	0.0589191
Huambo	0.0588567
subdistrict	0.0586786
Zamboanga	0.0585934
regency	0.0583333
"South Mogadishu"	0.0583267
Shali	0.057048
"North Maluku"	0.0568121
"combat zone"	0.056732
Kitgum	0.0565575
Soweto	0.0565365
"Northern Irish"	0.0563923
Merca	0.0561217
Lhokseumawe	0.0561083
Baoding	0.0558465
Pailin	0.0553996
Gudermes	0.0552196
"West Timor"	0.0551164
Copperbelt	0.0549915
"South Lebanon"	0.0549096
Bangui	0.0547458
"Liberian capital"	0.0544634
Israeli-Arab	0.053948
Bengkulu	0.0535281
Vedeno	0.0535171
Dagestan	0.0532495
hinterland	0.0530062
highland	0.0526454
Maluku	0.0525673
Kupang	0.0525307
Chiapas	0.0524155
Nazareth	0.0522735
Lijiang	0.0519864
Phuket	0.0519613
Bekaa	0.0516346
"North Ossetia"	0.0514822
Kuito	0.0514773
"Democratic Republic"	0.0512174
CHT	0.0509361
Vojvodina	0.0507712
Multan	0.050609
Mullaitivu	0.0504091
Badme	0.0503603
Kalemie	0.0501897
Wuxi	0.0501089
Monrovia	0.0500736
Drenica	0.0496223
Kisumu	0.0496124
Tachilek	0.0493827
Goma	0.0493801
"Jaffna Peninsula"	0.049239
Ashkelon	0.0488959
Zhangjiajie	0.0483907
Rafah	0.0482201
Kandy	0.0479819
Omagh	0.0474743
"Bakassi Peninsula"	0.0472635
Mostar	0.0463978
"Gaza Strip"	0.046038
Londonderry	0.0457327
Portadown	0.0452942
Mitrovica	0.0450457
Ozarks	0.045037
Caprivi	0.0450189
Dongguan	0.0448216
Guinea-Bissau	0.0448129
Beersheba	0.0447532
Kismayu	0.0446827
Kitwe	0.0446724
"Irian Jaya"	0.0443931
"crisis situation"	0.0443189
Sindh	0.0443047
Baidoa	0.0442485
"Nile Delta"	0.0439035
Nagorno-Karabakh	0.0437565
Sumatra	0.0436956
Brittany	0.0436836
Gauteng	0.0435836
Solomons	0.0435448
Wenzhou	0.0432454
Kailahun	0.0430712
Prijedor	0.0430157
Bundibugyo	0.0429818
Sihanoukville	0.0428787
Shashi	0.04283
Shanxi	0.0428016
Gnjilane	0.0426673
Anjouan	0.0425801
Ulster	0.0421037
Putumayo	0.041488
"rift valley"	0.0414559
Yichang	0.0414267
Bougainville	0.041375
Malisevo	0.0413459
"Gauteng Province"	0.0412403
Vlore	0.0412252
Gisenyi	0.0410696
Marjayoun	0.0410394
BASQUE	0.0409468
Guizhou	0.0408672
"Manila Bay"	0.0406476
"Lower Saxony"	0.0405175
Galilee	0.0400512
Moshi	0.0400089
))
("Bulent Ecevit" (desc 9208.1) (sims
"Mesut Yilmaz"	0.334851
Ecevit	0.277504
"Necmettin Erbakan"	0.27466
"Salim Hoss"	0.235024
"Tansu Ciller"	0.224836
"Mikulas Dzurinda"	0.214065
"Ivan Kostov"	0.213807
"Atal Bihari Vajpayee"	0.21161
"Chuan Leekpai"	0.205074
"Rafik Hariri"	0.203435
"Romano Prodi"	0.202407
"Costas Simitis"	0.200642
"Atal Behari Vajpayee"	0.20005
"Chavalit Yongchaiyudh"	0.198265
"Jenny Shipley"	0.197967
"Lionel Jospin"	0.193635
"Jose Maria Aznar"	0.192325
"Yoshiro Mori"	0.190988
"Phan Van Khai"	0.190295
"John Howard"	0.189607
"Radu Vasile"	0.189546
"H.D Deve Gowda"	0.188431
"Valery Pustovoitenko"	0.186398
"Pascoal Mocumbi"	0.186289
"Jean Chretien"	0.182591
"Shimon Peres"	0.181698
"Jerzy Buzek"	0.181524
"Pandeli Majko"	0.180918
"Deve Gowda"	0.179469
"Yevgeny Primakov"	0.179153
"Fatos Nano"	0.179015
"Tariq Aziz"	0.177935
"Bertie Ahern"	0.176997
"Than Shwe"	0.176161
"John Major"	0.174341
"Vo Van Kiet"	0.17383
"Benazir Bhutto"	0.173666
"Meles Zenawi"	0.172603
"Massimo D'Alema"	0.172401
"Inder Kumar Gujral"	0.170806
"Viktor Chernomyrdin"	0.168618
"Frederick Sumaye"	0.168549
"Antonio Guterres"	0.168229
"Ismail Cem"	0.1675
"Binyamin Netanyahu"	0.167329
"Nawaz Sharif"	0.167317
"Sheikh Hasina"	0.166984
"Abdullah Ahmad Badawi"	0.1658
Erbakan	0.164546
"Suleyman Demirel"	0.163597
"Milos Zeman"	0.16335
"Keizo Obuchi"	0.162595
"Lokendra Bahadur Chand"	0.161158
"Atef Obeid"	0.160719
"Lamberto Dini"	0.160329
"Bashkim Fino"	0.159315
"Yossi Sarid"	0.158613
"Tang Jiaxuan"	0.15792
"Vaclav Klaus"	0.156702
"Tareq Aziz"	0.1564
"Girija Prasad Koirala"	0.155658
"Alain Juppe"	0.155458
Yilmaz	0.155403
"John Bruton"	0.153942
"Ryutaro Hashimoto"	0.153853
"Goh Chok Tong"	0.153533
"Benjamin Netanyahu"	0.153428
Chuan	0.152788
"Paavo Lipponen"	0.152081
"Zhu Rongji"	0.150751
"Goran Persson"	0.150654
Moi	0.150652
"Abdul Karim Kabariti"	0.150453
"William Cohen"	0.149466
"Sergei Stepashin"	0.149141
Dehaene	0.148815
"Ehud Barak"	0.148783
"Sher Bahadur Deuba"	0.147651
"Li Peng"	0.147642
"Vladimir Putin"	0.146372
Vajpayee	0.145793
Hasina	0.145449
"Mahathir Mohamad"	0.14503
"Qian Qichen"	0.144977
"Wim Kok"	0.144194
al-Hariri	0.14364
"Yuri Maslyukov"	0.143199
"William Perry"	0.143164
"Sergei Kiriyenko"	0.142761
"Jordanian King Abdullah Bin Hussein"	0.140626
Simitis	0.140626
"Vuk Draskovic"	0.139937
"John Prescott"	0.139804
"Wlodzimierz Cimoszewicz"	0.13937
el-Ganzouri	0.139161
Meles	0.137865
Chirac	0.137372
Kharrazi	0.136852
"Tony Blair"	0.136838
al-Bashir	0.136243
"Victor Chernomyrdin"	0.135648
"President Kim Dae-jung"	0.135232
"I.K Gujral"	0.135061
"Javier Solana"	0.134096
"Gulbuddin Hekmatyar"	0.133374
"George Robertson"	0.132936
Hariri	0.132377
Aziz	0.132002
"Natan Sharansky"	0.131455
Primakov	0.130814
"Ariel Sharon"	0.130637
al-Sahhaf	0.130123
"Tomiichi Murayama"	0.12978
"Alexander Shokhin"	0.129712
Denktash	0.128908
"Lee Hsien Loong"	0.128256
"Tim Fischer"	0.128172
"Prime Minister Kamal El-Ganzouri"	0.127611
al-Shara	0.127063
"David Levy"	0.126842
"David Trimble"	0.126457
"Fayez Tarawneh"	0.125752
Koirala	0.125585
"Hun Sen"	0.125486
"Yitzhak Mordechai"	0.125303
Sergeyev	0.124968
D'Alema	0.12469
"Yegor Stroyev"	0.124573
Sharif	0.124558
Clerides	0.12452
"Helen Clark"	0.124511
Cem	0.124161
Ivanov	0.123727
"Jaswant Singh"	0.123217
"Igor Sergeyev"	0.122812
"Khaleda Zia"	0.122809
"Ibrahim Rugova"	0.122471
al-Khatib	0.122401
"Secretary General Esmat Abdel-Meguid"	0.12225
Chretien	0.122214
Kuchma	0.12185
"Igor Ivanov"	0.121676
Demirel	0.120887
Al-Thani	0.120805
Majali	0.120543
"Vladimir Meciar"	0.120433
"Yasser Arafat"	0.120349
"Krishna Prasad Bhattarai"	0.1203
Chand	0.120267
"Seamus Mallon"	0.119825
Chavalit	0.119742
Mubarak	0.119575
Mkapa	0.119061
"Ung Huot"	0.118826
Rafsanjani	0.11837
Ciller	0.118369
"Kamal Kharrazi"	0.118253
Barshefsky	0.117541
Nazarbayev	0.116815
"Abdul Salam Majali"	0.116675
Jospin	0.116675
"Jacques Chirac"	0.116637
Lukashenko	0.116504
Chiluba	0.116436
"Boris Nemtsov"	0.11636
"Silvio Berlusconi"	0.116266
"Turkish Foreign Ministry"	0.116265
Goh	0.115632
"Kofi Annan"	0.115197
Peres	0.115152
"President Kim Young-sam"	0.114839
Deuba	0.114732
Prodi	0.114294
"deputy foreign minister"	0.114249
"Jonas Savimbi"	0.114165
Wiranto	0.114045
Aznar	0.1139
Rakhmonov	0.113874
"Saeb Erekat"	0.113686
"Kim Yong Nam"	0.11366
"Supachai Panitchpakdi"	0.113474
Abubakar	0.113408
"Kim Jong Il"	0.113324
Khamenei	0.113261
Ahern	0.113063
"Vojislav Seselj"	0.11295
Premier	0.11292
Zhu	0.11245
Mandela	0.112371
Qian	0.112328
"Amr Moussa"	0.112143
"Prime Minister Banharn Silpa-Archa"	0.111912
"King Fahd"	0.111777
Hashimoto	0.111773
Khatami	0.111563
"King Abdullah"	0.111264
Pangalos	0.110563
Sharansky	0.110452
"Momir Bulatovic"	0.110412
Moussa	0.110346
Netanyahu	0.110136
Wahid	0.110074
Mordechai	0.109969
"Qiao Shi"	0.109858
Chernomyrdin	0.109841
Shevardnadze	0.109815
Hoss	0.10962
Chissano	0.109487
Shipley	0.109026
Al-Sabah	0.108849
"U.S. State Department"	0.108828
al-Sharaa	0.108356
Mugabe	0.108104
"Mikhail Kasyanov"	0.107895
Chancellor	0.107649
Kiriyenko	0.107646
"Viktor Orban"	0.107445
"Martin Lee"	0.107215
Buthelezi	0.107174
el-Bashir	0.107097
Mahathir	0.106972
"Paul Keating"	0.106955
Estrada	0.106725
Scalfaro	0.106624
Dini	0.106233
"Bill Skate"	0.106043
Mbeki	0.105747
Boueiz	0.105602
"Amnuay Virawan"	0.10555
Arafat	0.105359
Misuari	0.105056
"Anwar Ibrahim"	0.105008
"Michael Heseltine"	0.104856
"Defense William Cohen"	0.104855
Gujral	0.104775
Lipponen	0.104702
"finance minister"	0.104471
Menem	0.104386
"Begum Khaleda Zia"	0.104181
"Pakalitha Mosisili"	0.104094
Kinkel	0.103886
Komura	0.103824
Stoyanov	0.103814
Obuchi	0.103717
"P.V Narasimha Rao"	0.103686
Stepashin	0.103638
"Shi Guangsheng"	0.103554
Granic	0.103216
"King Abdullah II"	0.102991
"Amien Rais"	0.102929
"Hosni Mubarak"	0.102849
"King Norodom Sihanouk"	0.1028
"Jiang Zemin"	0.102564
Ganzouri	0.102169
Weizman	0.102045
al-Assad	0.102024
"Wang Daohan"	0.101893
"secretary of state"	0.101885
"Gro Harlem Brundtland"	0.101728
"Hubert Vedrine"	0.10165
Wolfensohn	0.101589
Camdessus	0.101332
Bouteflika	0.101192
"William Daley"	0.100734
Erekat	0.100334
))
(Bulgaria (desc 49760.6) (sims
Romania	0.293311
Hungary	0.287652
Poland	0.268391
Ukraine	0.267612
Slovenia	0.262437
Lithuania	0.237685
Croatia	0.234531
Slovakia	0.229723
Norway	0.222124
Latvia	0.221249
Greece	0.21869
Finland	0.217775
Estonia	0.213018
Belarus	0.210958
Moldova	0.209709
Italy	0.209162
Kazakhstan	0.206321
Tunisia	0.203359
Argentina	0.202165
Austria	0.202126
Denmark	0.197788
"Czech Republic"	0.197382
Sweden	0.196263
"South Korea"	0.196149
Armenia	0.195083
Russia	0.191263
"South Africa"	0.189676
Belgium	0.189502
Uzbekistan	0.188307
Turkey	0.187781
Netherlands	0.18744
Switzerland	0.185265
Germany	0.184164
Egypt	0.181887
Spain	0.181517
France	0.181222
Chile	0.180872
Azerbaijan	0.180131
Portugal	0.179133
Brazil	0.178985
Mongolia	0.17644
Uruguay	0.175876
Peru	0.174675
Colombia	0.174274
Venezuela	0.173898
Thailand	0.172006
Albania	0.170075
"Saudi Arabia"	0.167974
Yugoslavia	0.167185
Nigeria	0.167183
Mexico	0.166966
Iceland	0.166829
Iran	0.166673
Luxembourg	0.166574
Morocco	0.165745
Algeria	0.165212
Paraguay	0.165124
Malaysia	0.163622
Australia	0.16314
Ecuador	0.16312
Malta	0.16264
Qatar	0.162422
"Costa Rica"	0.162264
Canada	0.162231
Macedonia	0.16161
Oman	0.159631
Pakistan	0.159502
Cuba	0.158537
Ireland	0.157882
Ghana	0.157295
Japan	0.154971
India	0.1529
Kenya	0.152011
Kuwait	0.151824
Zimbabwe	0.151508
Indonesia	0.151442
Bolivia	0.150782
Zambia	0.15049
Britain	0.149497
Namibia	0.149236
"New Zealand"	0.149165
Cyprus	0.148614
China	0.148463
Mozambique	0.14729
Ethiopia	0.146319
"Sri Lanka"	0.14612
Vietnam	0.145257
Turkmenistan	0.144962
Scotland	0.144083
Bangladesh	0.144049
Guatemala	0.143567
Cambodia	0.143138
Cameroon	0.142326
Jamaica	0.141559
Yemen	0.138543
Kyrgyzstan	0.138053
Panama	0.137761
Philippines	0.137338
Kazakstan	0.137133
Tanzania	0.13638
"United States"	0.13537
Angola	0.134373
Nicaragua	0.133541
England	0.133484
Republic	0.131761
Bahrain	0.131013
Syria	0.128929
Nepal	0.128766
Israel	0.126991
Georgia	0.126558
Libya	0.126426
Senegal	0.125685
Uganda	0.125279
Mali	0.125014
Honduras	0.124873
"European country"	0.124846
Myanmar	0.124778
"The Netherlands"	0.123702
Haiti	0.120893
"El Salvador"	0.119935
Singapore	0.119857
"Slovak Republic"	0.119499
"Dominican Republic"	0.118855
Botswana	0.118771
"Trinidad and Tobago"	0.118745
Gabon	0.118715
Laos	0.118143
Bosnia	0.11688
Korea	0.115619
Sudan	0.115569
"United Arab Emirates"	0.115413
Bosnia-Herzegovina	0.114437
"North Korea"	0.113929
Czechoslovakia	0.112838
Tajikistan	0.11261
Brunei	0.112409
"African country"	0.111759
country	0.1116
"Ivory Coast"	0.111596
"Great Britain"	0.111455
"Republic of Korea"	0.111288
Jordan	0.111129
"Papua New Guinea"	0.110561
Lebanon	0.108967
Serbia	0.108075
Fiji	0.107347
Taiwan	0.10727
Togo	0.106878
Mauritius	0.106579
"Chinese Taipei"	0.10656
Iraq	0.106124
"United Kingdom"	0.105801
"DPR Korea"	0.105239
Afghanistan	0.105189
Malawi	0.105146
"Asian country"	0.10481
Holland	0.103791
Niger	0.103746
Rwanda	0.101805
UAE	0.101414
Montenegro	0.100362
"European nation"	0.10011
Guinea	0.0998798
EU	0.0981899
Wales	0.0970563
Kirghizstan	0.096766
Guyana	0.0966567
"African nation"	0.0965739
Liberia	0.0961268
"Hong Kong"	0.0961088
Liechtenstein	0.0958112
"South American country"	0.0957034
Andorra	0.0949173
Benin	0.0949164
"San Marino"	0.0948943
Europe	0.094266
"Burkina Faso"	0.0940486
"Northern Ireland"	0.0940392
"West Germany"	0.0940114
Taipei	0.0937572
"Asian nation"	0.0927902
"Puerto Rico"	0.0926641
Swaziland	0.0918135
ROK	0.0908894
Madagascar	0.0907349
Africa	0.0905538
"Central American country"	0.0903818
Palestine	0.0902463
nation	0.0898181
"European Union"	0.0896996
Burundi	0.0892264
Eritrea	0.089166
Barbados	0.088717
"Sierra Leone"	0.0879704
Burma	0.0875583
Guangdong	0.08666
"Russian Federation"	0.0865093
Somalia	0.0862476
Congo	0.0862369
Mauritania	0.0860633
))
(Bulgarian (desc 7097.31) (sims
Hungarian	0.179911
Ukrainians	0.154809
Romanian	0.154568
Macedonian	0.151824
Greeks	0.13768
Swiss	0.1341
Cypriot	0.133604
Nepalese	0.132743
Vietnamese	0.126918
Italian	0.126004
Austrian	0.125214
"New Zealander"	0.122636
Belgian	0.120377
Colombian	0.119996
Croatians	0.117156
German	0.117037
Briton	0.116555
"Sri Lankans"	0.115918
Moroccan	0.115283
Peruvian	0.114763
Lebanese	0.112552
Georgian	0.112209
Angolan	0.111841
Mozambican	0.111125
Russian	0.109383
Brazilian	0.109052
Bangladeshi	0.108711
Armenians	0.108439
Pakistani	0.10735
Egyptian	0.106406
Czech	0.105931
Guatemalan	0.104109
Somali	0.103441
Canadian	0.103297
Turk	0.102797
Bosnians	0.102199
Iranian	0.101102
Japanese	0.100898
Montenegrins	0.100264
"South African"	0.100157
Portuguese	0.100117
Bolivian	0.0998292
Mexican	0.0997161
Indonesian	0.0996925
Kenyan	0.0995644
Yugoslav	0.0986406
Singaporean	0.0979984
Sudanese	0.0979473
Thai	0.0978025
Chilean	0.0976669
Serbian	0.0973144
Ukrainian	0.0970934
Liberian	0.0967488
Jordanian	0.0957702
Norwegian	0.0957157
Croats	0.0956758
Honduran	0.0939664
Jamaican	0.0938199
Argentine	0.0937518
Filipino	0.0931669
Zimbabwean	0.0928285
"Russian Jews"	0.0917288
British	0.0912666
Taiwanese	0.0908684
Eritrean	0.0907837
Australian	0.0902274
Swede	0.0901672
Guinean	0.0900994
Kuwaiti	0.0898972
Yemeni	0.0898373
Cambodian	0.0897021
Congolese	0.0896977
Namibian	0.0895612
Koreans	0.0893072
"Kosovar Albanians"	0.089305
Tunisian	0.088323
Albanian	0.0881523
Syrian	0.0879078
Ugandan	0.0869383
Quebecers	0.086283
Afghan	0.0857834
Nicaraguan	0.0856393
"Greek Cypriots"	0.0855172
Haitian	0.0855162
Burundian	0.0852133
Spaniard	0.0851813
Californian	0.0848945
Zambian	0.0848186
Laotian	0.0846725
Venezuelan	0.0841897
Nigerian	0.0839697
Tanzanian	0.0837059
Chechens	0.0834699
Salvadoran	0.0833837
Cuban	0.0832694
Malaysian	0.083171
Tibetans	0.0826102
Ethiopian	0.0817271
Ecuadoreans	0.0815001
Minnesotan	0.0802275
Slovaks	0.0801262
Algerian	0.0800964
Malay	0.0794428
Iraqi	0.0793131
Panamanian	0.0792471
Persian	0.0789199
Croatian	0.0785875
Beijingers	0.078407
"heroin addict"	0.077759
African	0.0774454
Frenchmen	0.077415
Dutch	0.0773472
"Kosovo Serbs"	0.0771147
Turkish	0.0768675
Kurds	0.0768176
"Kosovo Albanians"	0.0752513
Slovenian	0.0742791
Ghanaians	0.0742178
Greek	0.0737735
Lithuanians	0.0730283
Finnish	0.0729265
"British people"	0.0724392
Serbians	0.0724281
Rwandan	0.0724244
Yugoslavian	0.0723649
Mongolian	0.0722749
Israeli	0.072044
Kosovars	0.0716761
"Sierra Leonean"	0.0714381
Scots	0.0711894
Bosnian	0.0710967
Latvians	0.0709452
Gypsy	0.0708435
Dominican	0.0708324
foreigner	0.0706923
Slovak	0.0700799
Finn	0.0699922
Ecuadorian	0.0698633
Frenchman	0.0697465
"South Koreans"	0.0697447
Senegalese	0.0696819
Arab	0.0686352
Uruguayan	0.0683842
"Albanian Kosovars"	0.068375
parolee	0.0681445
Libyan	0.0679526
Dane	0.0679447
Missourian	0.0674343
Saudi	0.067372
Texan	0.0672956
"East Timorese"	0.065743
"Israeli Arabs"	0.0657178
"Australian Mark Philippoussis"	0.0653488
Spanish	0.0651148
Iowan	0.0650901
Arizonan	0.0649641
pensioner	0.0649235
"South Carolinian"	0.0648971
Ohioan	0.0648613
Danish	0.0646646
Tamil	0.0646552
"Ivan Kostov"	0.0646359
"temporary worker"	0.0644659
Moslem	0.0641849
"Bashkim Fino"	0.0634595
Ghanaian	0.0633767
Slav	0.0629207
Armenian	0.0628415
Serbs	0.0628384
"Orthodox Jews"	0.0627033
Arabic	0.0625373
Londoner	0.0623327
Irish	0.0622234
Fijian	0.0621728
Swedish	0.0619633
Nepali	0.0619304
"San Franciscans"	0.0618639
Hawaiians	0.0618382
illegals	0.0618359
registrant	0.0618339
Qatari	0.0617651
Lithuanian	0.0614359
Scandinavian	0.0613882
"Texas Democrats"	0.0609662
Korean	0.0608329
"farm worker"	0.0602693
"Bosnian Croats"	0.0602417
"Costa Rican"	0.0600708
Floridian	0.0591679
B-@s	0.0588446
Muscovite	0.0586688
Jew	0.0584067
"Pandeli Majko"	0.0579101
businessmen	0.0578703
"New Englander"	0.0576243
"church member"	0.0575887
Phoenician	0.057415
schoolchildren	0.0570199
"military personnel"	0.0570194
Uzbek	0.0567579
))
(bulge (desc 7304.58) (sims
indentation	0.0790117
"air bubble"	0.0687305
wart	0.0645483
lump	0.0603008
incision	0.0555815
welt	0.055421
cushion	0.0552715
chink	0.0549042
hippocampus	0.0525999
Gash	0.052475
clot	0.051048
scar	0.0498326
slit	0.0496357
imperfection	0.0481431
blotch	0.046956
wipeout	0.0460987
porthole	0.0459538
lesion	0.0457976
decal	0.0454521
wrinkle	0.045389
"fire wall"	0.0446558
Rut	0.0440936
knot	0.0440449
pimple	0.0439288
"No. @s"	0.0438589
"tax base"	0.0436458
dent	0.0430814
"blind spot"	0.0421821
nodule	0.0421761
blemish	0.0418912
cataract	0.0417493
"won-lost record"	0.0411486
imbalance	0.0409033
"bullet hole"	0.0408326
"Bull Run"	0.040642
"labor pool"	0.0405016
footprint	0.0403922
Halo	0.0401499
))
(Bulger (desc 17460) (sims
Flemmi	0.209697
Mercurio	0.120855
Connolly	0.113104
Salemme	0.106501
Whitey	0.0986276
Gotti	0.0876221
Cisneros	0.085471
Tripp	0.0815068
peeler	0.0810948
mobster	0.0789137
Hubbell	0.0781013
Laden	0.0778468
informant	0.0772365
Piggie	0.0755333
Edwards	0.0749846
Natale	0.0744228
Trie	0.0739968
Martorano	0.0734572
Karadzic	0.0732293
Skakel	0.0730194
Marcoses	0.0698297
Kopp	0.0691366
Frankel	0.0688591
Resendez-Ramirez	0.0668812
defendant	0.066849
Arizmendi	0.06588
"Russell Peeler"	0.0651302
Coelho	0.0648941
McDougal	0.0645652
Ressam	0.0642577
Lee	0.064146
Rudolph	0.0630214
"Edwin Edwards"	0.0628048
Sankoh	0.0624803
Suharto	0.061648
Pinochet	0.0609547
Blackthorne	0.0606666
Stayner	0.0599661
Clintons	0.0591904
Gingrich	0.0589359
Carruth	0.0588973
FBI	0.0582463
"Bin Laden"	0.0578434
Gusinsky	0.0576953
"Raul Salinas"	0.0576865
"Wen Ho Lee"	0.0572859
"Martin Frankel"	0.0571454
Botha	0.056827
Soeharto	0.0567055
Kim	0.05591
Steele	0.0558963
Crawford	0.0557911
"Webster Hubbell"	0.0556686
Murr	0.0553579
Welch	0.0547903
Einhorn	0.0547867
Weizman	0.0545641
co-defendants	0.0544131
Kimeses	0.0542064
Taylor	0.0535872
Starr	0.0532879
Lewinsky	0.0529768
Henderson	0.0528633
Al-Amin	0.0527864
Gannon	0.0527109
Milosevic	0.0526565
Hsia	0.0526544
Anwar	0.0525209
Mafia	0.0521226
Sharif	0.0520705
Koch	0.0519487
gangster	0.0519439
Samaranch	0.0518907
Yeltsin	0.0516639
Johnston	0.0515035
Sakic	0.0512518
Robinson	0.0511967
"Rafael Resendez-Ramirez"	0.0510516
Deutch	0.0509969
"Linda Tripp"	0.0506779
"drug dealer"	0.0503916
Mandela	0.0502217
Graham	0.0501757
Pirro	0.0500951
"Eric Robert Rudolph"	0.0500192
Symington	0.0499932
CIA	0.0499603
Robison	0.0497935
Berezovsky	0.0497112
Robertson	0.049584
Bennett	0.0495161
Holbrooke	0.0493938
Riady	0.0489077
Ovitz	0.0488644
furrow	0.0487459
DiMaggio	0.0486285
DeBartolo	0.0486063
Karr	0.0485961
Barton	0.0485134
Olson	0.0483618
"drug trafficker"	0.0482106
Primakov	0.0480827
Goh	0.0480417
Ahmed	0.0479974
Wang	0.0478413
Gravano	0.0478143
Krstic	0.0477338
Tyson	0.0476023
"organized crime"	0.0474966
Steinbrenner	0.0473966
Chung	0.0472559
Livingston	0.0472231
McGinn	0.0471954
Bakaly	0.0471401
Luzhkov	0.0471224
Armstrong	0.0468986
Barker	0.0468342
Wahid	0.046789
Batouty	0.0467697
Carter	0.0467397
Kohl	0.0465728
Berisha	0.046451
Belichick	0.0464363
trafficker	0.0464112
criminal	0.0462741
accomplice	0.0462518
Ocalan	0.046205
"Michael Skakel"	0.0461553
Castro	0.0461177
Steinberg	0.0459422
Speight	0.045803
Ecevit	0.0457438
Hoffa	0.0456825
Foley	0.0456264
Reno	0.0455646
Schwarz	0.0455204
Pataki	0.0454868
Ganga	0.0453986
Putin	0.0452726
Hess	0.0451507
Milutinovic	0.0451464
perry	0.045124
Sheinbein	0.0450977
Hoffman	0.0450554
Netanyahu	0.0450311
Wilson	0.0449878
smuggler	0.0449576
Morales	0.0449477
Ross	0.0449266
Jackson	0.0446969
Lewis	0.0446885
"secret service"	0.0445873
McKinney	0.0445664
Pollard	0.0444042
Kaplan	0.0443902
Keating	0.0443531
Trischitta	0.0443498
Davidians	0.0443384
Brownlee	0.0442969
fisher	0.0441695
Espy	0.0440366
Rivera	0.044017
Salinas	0.0440017
Jones	0.0439858
Cheung	0.0439701
"Ruiz Massieu"	0.0439203
Perot	0.0438732
Simmons	0.0438601
Sarsour	0.0438013
Payne	0.04377
"police officer"	0.0436476
Muhammad	0.0436396
Levin	0.0436319
Daley	0.0435855
Mordechai	0.043553
Rugova	0.0435337
Deri	0.0434098
hale	0.0433984
Glenn	0.0433863
gang	0.0433773
Anderson	0.0433705
Hewitt	0.0433079
Butler	0.0432494
Hensley	0.0432079
Kennedy	0.0431707
Mitnick	0.0431147
Carroll	0.0430844
Morris	0.0429244
Giuliani	0.0429016
McAuliffe	0.0428215
Mitchell	0.0427346
Annan	0.0427089
Chang	0.0426028
Volpe	0.0425085
robber	0.0424684
Zamora	0.042466
Kaczynski	0.0424538
Krajisnik	0.0423228
Yilmaz	0.0420412
Shepard	0.0419899
))
(bulgur (desc 1264.64) (sims
Chickpea	0.157358
barley	0.136037
porridge	0.133573
oatmeal	0.128797
noodle	0.125916
"pine nut"	0.125026
lentil	0.122402
"white rice"	0.115724
plantain	0.115349
polenta	0.112854
pea	0.111691
pilaf	0.110469
"beef broth"	0.109514
spaghetti	0.109186
millet	0.106817
"tomato sauce"	0.105134
cabbage	0.1049
"pinto bean"	0.103181
applesauce	0.102194
pasta	0.100587
macaroni	0.0965379
flour	0.0960909
risotto	0.094419
fajitas	0.0944049
cucumber	0.0943925
"wheat flour"	0.0941565
mayonnaise	0.093847
"egg white"	0.0937507
sorghum	0.0935942
"root vegetable"	0.0933428
"black bean"	0.0916435
matzo	0.0916396
"green bean"	0.0904972
"green salad"	0.0903262
"water chestnut"	0.0898276
artichoke	0.0877594
horseradish	0.0874352
broth	0.0873945
parsley	0.0871076
confit	0.0864973
prosciutto	0.0863783
tapioca	0.086028
"bok choy"	0.0858802
parsnip	0.0857714
"bean sprout"	0.0857501
veggie	0.0850108
pancetta	0.0839415
curd	0.0838619
meatball	0.08355
"cooking oil"	0.0831612
"string bean"	0.0825168
spaetzle	0.0825029
oat	0.0824961
ramekins	0.0823579
chorizo	0.0820704
"green onion"	0.0818916
"canned goods"	0.0814104
sauerkraut	0.0810934
fennel	0.0802866
"fava bean"	0.080082
tortilla	0.07977
"cottage cheese"	0.0796678
"bay leaf"	0.079654
Broccoli	0.0784129
Cowan	0.0779178
scallion	0.0778732
"pie shell"	0.0777964
"fruit juice"	0.0775758
pesto	0.0771043
"bell pepper"	0.0765999
carrot	0.0765446
dumpling	0.0763668
zucchini	0.076362
"pie crust"	0.0760571
chutney	0.0759498
"dried fruit"	0.075823
spinach	0.0755345
lettuce	0.0753685
legume	0.0744349
morel	0.0743909
"curry powder"	0.0742888
asparagus	0.0742622
gravy	0.0738172
"potato salad"	0.0736416
"ground beef"	0.0734813
fig	0.072576
mustard	0.0723853
"orange juice"	0.0722583
salami	0.0721591
"grated cheese"	0.0720006
"sweet potato"	0.0717222
leek	0.0716845
dressing	0.0713631
gumbo	0.071342
kernel	0.0711935
"powdered milk"	0.0710837
"vegetable oil"	0.0710249
biscuit	0.0707778
cashew	0.0703621
"chicken broth"	0.0699618
cutlet	0.0698481
pineapple	0.0698131
cauliflower	0.069562
yogurt	0.0695607
mutton	0.0695336
canape	0.0693408
"scrambled egg"	0.0691262
"tuna fish"	0.0689625
celery	0.0689011
seafood	0.0687614
crumb	0.0683752
coleslaw	0.0680789
Basil	0.0680085
florets	0.0678792
tuna	0.0675813
"black-eyed pea"	0.0674088
pecan	0.0673056
raisin	0.0671754
turnip	0.0669381
"filet mignon"	0.0668371
shallot	0.066751
"lima bean"	0.0663949
bun	0.0663902
nettle	0.0663583
eggplant	0.0660127
"french fries"	0.0651774
stuffing	0.0649979
radish	0.0646191
"red onion"	0.0644913
cornmeal	0.0642016
"chicken stock"	0.0641885
cornbread	0.0641483
apricot	0.0639112
"red pepper"	0.0635674
cider	0.0634163
"Swiss chard"	0.0633773
"green pepper"	0.0632898
offal	0.0631142
gnocchi	0.0630984
"white bean"	0.0630585
"brown sugar"	0.0629898
syrup	0.0628627
crepe	0.062511
burgers	0.0618654
"spaghetti sauce"	0.0616494
buttermilk	0.0616355
"chicken wing"	0.0613938
"fresh fish"	0.0612898
cassava	0.0605855
Sorrel	0.060494
"collard greens"	0.060284
romaine	0.060016
"vegetable soup"	0.0599588
"egg yolk"	0.0598601
yolk	0.0597996
fillet	0.0597928
"sea food"	0.0597759
chive	0.0596039
yam	0.0593291
watercress	0.0591539
"brown rice"	0.0590416
"brussels sprout"	0.058857
arugula	0.058682
seasoning	0.0581768
"sunflower seed"	0.0579752
sesame	0.057913
cilantro	0.0578221
Rubenstein	0.0574502
"garlic clove"	0.057397
"coconut milk"	0.057359
chervil	0.0571846
gizzard	0.0571438
Chili	0.0571102
"sesame seed"	0.0570092
cantaloupe	0.0564226
paprika	0.0562398
currant	0.0561914
"short ribs"	0.0561757
Hock	0.0561548
"orange peel"	0.0560091
Pudding	0.055953
"heavy cream"	0.0559485
pear	0.0559273
"peanut oil"	0.0558569
quail	0.0558392
"purchase order"	0.0555457
beet	0.0550209
"evaporated milk"	0.055008
"leg of lamb"	0.0549222
fraiche	0.0544723
"cherry tomato"	0.054199
coconut	0.0539405
topsoil	0.0538256
icing	0.0537953
"iced tea"	0.0537113
pancake	0.053626
Kale	0.0535693
linguine	0.053438
Masa	0.0533828
"main course"	0.0533066
))
(bulimia (desc 1927.87) (sims
anorexia	0.226625
"manic depression"	0.117412
"anxiety disorder"	0.115799
"substance abuse"	0.109586
"bipolar disorder"	0.107608
insomnia	0.105133
"alcohol abuse"	0.104713
Alcoholism	0.102731
hyperactivity	0.102632
glaucoma	0.0897542
dyslexia	0.0882936
dysfunction	0.0874844
"memory loss"	0.0850915
schizophrenia	0.0805752
phobia	0.074357
"mental illness"	0.0702904
Truancy	0.0701928
Osteoporosis	0.0699999
"panic attack"	0.0693396
epilepsy	0.069326
dementia	0.0691174
self-esteem	0.0654095
"cardiovascular disease"	0.063097
lupus	0.0626491
homelessness	0.0620989
"Parkinson's disease"	0.0616796
"heart disease"	0.0610804
infertility	0.059945
ulcer	0.0597427
apnea	0.0591739
Obesity	0.0583236
anemia	0.0578707
autism	0.0576105
ADHD	0.0575855
"skin cancer"	0.0568617
hypertension	0.0550454
Psychosis	0.0540428
"drug addiction"	0.0535454
celibacy	0.0532155
"rheumatoid arthritis"	0.0531992
cirrhosis	0.0531047
nausea	0.0530161
"mental disorder"	0.0527999
Parkinson's	0.052783
"mental health"	0.0524525
"congestive heart failure"	0.0523189
osteoarthritis	0.0521009
moodiness	0.0517687
jaundice	0.0511264
"cystic fibrosis"	0.0503835
"kidney disease"	0.0501199
arthritis	0.0499689
incontinence	0.0494286
"old times"	0.0493952
leukemia	0.0480343
Paxil	0.0475416
"heart failure"	0.0472185
"eye disease"	0.0471445
"plastic surgery"	0.0469315
"high blood pressure"	0.0467581
disorientation	0.0456756
atherosclerosis	0.04541
retardation	0.0452697
SIDS	0.0447054
acne	0.0444974
self-image	0.0438522
sinus	0.0437179
deafness	0.0431211
reflux	0.0429135
laziness	0.0424959
grooming	0.0420688
bronchitis	0.0420629
nation-building	0.0420611
delirium	0.0418087
impotence	0.0413887
"liver disease"	0.04104
dependency	0.0408134
tiredness	0.0406238
diarrhea	0.0404977
self-censorship	0.0403442
))
(bulk (desc 37515.5) (sims
"About @@ per cent"	0.110479
portion	0.109687
"about two-thirds"	0.109155
two-thirds	0.108277
"about @@ percent"	0.106921
"about one-third"	0.103014
"one third"	0.0982118
one-third	0.0971582
thirds	0.0969037
amount	0.0954938
"about one third"	0.095149
one-fifth	0.093353
"More than two-thirds"	0.0928494
"Eighty percent"	0.0918109
fraction	0.0905618
"almost two-thirds"	0.0901002
chunk	0.0888756
one-fourth	0.088352
"nearly two-thirds"	0.0875352
"Sixty percent"	0.0866893
"about three-quarters"	0.0863856
half	0.0859232
"About @@.@ percent"	0.0858362
"about one-fifth"	0.0854901
proportion	0.0854259
percentage	0.0836091
"how much"	0.0830741
"Forty percent"	0.0817233
"roughly two-thirds"	0.0807693
"about @ percent"	0.0806609
brunt	0.0791066
"More than one-third"	0.0788423
remainder	0.078791
"nearly one-third"	0.0778762
"nearly one third"	0.0777316
"roughly one-third"	0.0776854
much	0.0775372
majority	0.0771064
"almost one-third"	0.0766145
three-fourths	0.0763268
"Ninety percent"	0.0760659
quantity	0.0759126
"More than three-quarters"	0.0756811
"about one-quarter"	0.0756678
"Seventy percent"	0.0747173
"ten percent"	0.0735145
"Twenty percent"	0.0725397
"one fifth"	0.072247
"about one-fourth"	0.0711286
"Fifty percent"	0.0705376
"Thirty percent"	0.070162
"Ninety-five percent"	0.0693167
"one tenth"	0.0689868
sum	0.0681863
one-tenth	0.0680839
Four-fifths	0.0679023
worth	0.067786
size	0.0674501
"More than one third"	0.0671435
one-sixth	0.0650723
value	0.0647587
"good part"	0.0646106
batch	0.0645013
three-quarters	0.0640576
"large number"	0.063493
volume	0.0633669
one-quarter	0.0630117
"one quarter"	0.0628055
lot	0.0623848
total	0.0607246
"less than one-third"	0.0594014
rest	0.0586923
"less than @.@ percent"	0.0586899
balance	0.0586557
doubling	0.0582032
flow	0.05797
"about @.@ percent"	0.0576806
"three quarters"	0.0559182
burden	0.0556175
type	0.0553024
"about $@@ million"	0.054803
"more than @@@ tons"	0.054736
kind	0.0546443
tenth	0.0545301
thousand	0.0543345
"more than @@@ million yuan"	0.0533503
million	0.0533167
beneficiary	0.05323
"about $@ billion"	0.0532142
distribution	0.0530294
"less than one percent"	0.0527959
"about $@@@ million"	0.0527369
hundred	0.0523356
"more than @@ million yuan"	0.0522979
"amount of money"	0.0522829
strength	0.0516512
penny	0.0516355
ton	0.0514999
dollar	0.0514677
reduction	0.051351
ratio	0.0511164
"about @@@ million dollars"	0.0510275
third	0.0509889
"about $@@ billion"	0.0508249
allocation	0.0507433
"one percent"	0.0506431
"about @@@,@@@ tons"	0.0505495
proceeds	0.0498095
package	0.0496804
"about $@@@ billion"	0.0496068
concentration	0.0495934
backbone	0.0494766
paucity	0.0494484
weight	0.0492391
quality	0.049117
quarter	0.0486399
payment	0.0484308
deluge	0.0484161
"about $@.@ billion"	0.048355
"more than @@ billion yuan"	0.0481463
billion	0.0481217
"two percent"	0.0480338
cash	0.0477714
stream	0.0476697
energy	0.0476695
scale	0.0475993
component	0.0474681
influx	0.0473216
dozen	0.0471452
variety	0.0468523
portfolio	0.0467792
detail	0.046654
"five percent"	0.0466366
item	0.0462823
inventory	0.0459666
"eight percent"	0.0458528
"rapid growth"	0.0457555
"nearly $@ billion"	0.0455199
goods	0.0454326
none	0.0453763
"about $@ million"	0.0453584
"sum of money"	0.0449667
"good deal"	0.0447452
handful	0.0445715
crux	0.0445455
spite	0.044531
resource	0.0444406
copy	0.0444119
wealth	0.0443638
asset	0.0443537
"thousand dollars"	0.0443133
expense	0.0442772
multiple	0.0442408
inflow	0.044198
aspect	0.0441348
"three percent"	0.0439226
consignment	0.0438983
saving	0.0438681
profit	0.0437681
truckload	0.043758
density	0.0436528
extent	0.0435118
cargo	0.0434074
scope	0.0432919
funding	0.0432871
windfall	0.0432831
"seven percent"	0.0432064
revenue	0.0430867
tranche	0.0429003
specific	0.0428734
financing	0.0427136
recipient	0.0426587
breadth	0.0425691
outflow	0.0424969
collection	0.0424814
impact	0.0424758
installment	0.0423856
diversification	0.0423796
expenditure	0.0422045
equipment	0.0422028
percent	0.0421906
content	0.0421119
anticipation	0.0420576
shipment	0.0420524
segment	0.0420057
"how many"	0.0417844
receipt	0.0417572
prospect	0.0416915
likelihood	0.0416721
complexity	0.0416616
infusion	0.0416473
expectation	0.0414702
array	0.0414677
depth	0.0413811
redistribution	0.0412808
importance	0.0411947
bundle	0.0409098
grain	0.0408056
donation	0.0405873
repayment	0.0402701
))
(bulkhead (desc 2178.36) (sims
plasterboard	0.0924459
cofferdam	0.0763199
windscreen	0.0739388
scaffold	0.0698395
louver	0.0663205
stanchion	0.0650365
hyphen	0.0631066
tenement	0.0616567
"plate glass"	0.0607035
afterburner	0.0599926
"Loretta Sanchez"	0.0599494
jetty	0.059509
headrest	0.0584311
"shock absorber"	0.0581792
"stone wall"	0.0578179
headboard	0.0576868
gasket	0.057375
"National Missile Defense"	0.0572321
girder	0.0571416
galley	0.056173
Stairway	0.0561685
fascia	0.0560257
chute	0.0559401
floorboard	0.0554886
dowel	0.0551201
lattice	0.0547481
centerfield	0.0546804
markdowns	0.0541109
truss	0.053928
partition	0.0528093
"water tank"	0.0526081
sarcophagus	0.0523398
slipcover	0.0523266
shanty	0.0517558
hanger	0.0516016
"sailing vessel"	0.0511466
storey	0.0510783
electrolyte	0.050992
silo	0.0503761
"New Carissa"	0.0496961
membrane	0.0493692
Igloo	0.0489889
deflector	0.0489413
"sewer line"	0.0488247
gazebo	0.0485811
armrest	0.0484605
"fire wall"	0.0484175
sandbag	0.0482847
smelters	0.0481001
ventilator	0.0480113
enclosure	0.0475645
motherboard	0.0472078
harpoon	0.0471836
"British government"	0.0470451
catwalk	0.0469406
"emergency exit"	0.0469188
vise	0.0466887
scaffolding	0.0465304
"cinder block"	0.0465111
footbridge	0.0464515
earplugs	0.046335
"Paolo Di Canio"	0.0460254
plank	0.0458883
pergola	0.0457189
grout	0.0454932
Plexiglas	0.0453812
"Nicolas Anelka"	0.045331
siding	0.0452248
outhouse	0.0451257
"window frame"	0.04469
"fire escape"	0.0446521
mallet	0.0444906
planetarium	0.0444141
"Byron Hanspard"	0.0444048
"iron curtain"	0.0443083
canteen	0.0442797
taxiway	0.0442442
chalet	0.0442197
cask	0.0441886
railing	0.0441664
wharf	0.0439321
"Green Monster"	0.0438132
molar	0.0438121
menorah	0.0437651
piling	0.0436674
"mobile home"	0.0436489
chaise	0.0434441
vinyl	0.0433926
Verney	0.0433397
tarpaulin	0.0432751
shingle	0.0431967
RBA	0.0429737
"demarcation line"	0.0428851
"Christophe Dugarry"	0.0428479
Kealy	0.0426988
"RJR Nabisco"	0.0426024
awning	0.0425772
coaster	0.0424794
"four sacks"	0.0423161
crematorium	0.0422724
firewalls	0.0422722
getup	0.0422279
trestle	0.0421927
laminate	0.0420777
lean-to	0.0420704
"booster rocket"	0.0420539
"domed stadium"	0.0420341
saloon	0.0419194
latrine	0.0418869
bleachers	0.0418514
"place mat"	0.0418466
divider	0.0418428
conservancy	0.0418112
Stretcher	0.0417841
incinerator	0.0417694
"jam session"	0.0415894
atrium	0.0415401
pane	0.0413145
"three schools"	0.0411675
"tax change"	0.041054
"office block"	0.0409711
"piece of cloth"	0.0409584
contraption	0.0409081
crib	0.0409034
"instrument panel"	0.0408685
treehouse	0.0408218
berm	0.040782
MTA	0.0406999
chimney	0.0406599
"Tom Osborne"	0.0404727
archway	0.0404505
gloves	0.0403972
pylon	0.0403143
Fryman	0.040286
Sash	0.0402266
"paper cup"	0.0401833
blinder	0.040128
))
(bull (desc 68627.9) (sims
"Chicago Bulls"	0.214287
Lakers	0.173112
Knicks	0.163349
pacer	0.158575
Celtics	0.153925
clipper	0.149668
piston	0.143571
spur	0.138071
Sonics	0.137711
"Los Angeles Lakers"	0.132813
"Houston Rockets"	0.132244
Raptor	0.131259
sixer	0.128138
maverick	0.127284
Yankee	0.127262
cowboy	0.126758
BEARS	0.121675
Hornet	0.121136
bruin	0.120968
"Trail Blazers"	0.120938
Giants	0.119506
hawk	0.118174
grizzly	0.117187
dodger	0.115297
tiger	0.115048
Timberwolves	0.113927
ranger	0.113233
"New York Knicks"	0.113111
Mets	0.112458
"Indiana Pacers"	0.112166
brave	0.111869
"San Antonio Spurs"	0.111099
"Red Sox"	0.108946
falcon	0.108251
mariner	0.108102
cardinal	0.107839
husky	0.10768
oiler	0.107105
patriot	0.106931
blazer	0.10689
bronco	0.106284
rocket	0.105742
"Boston Celtics"	0.105301
lion	0.105226
cub	0.104191
Eagles	0.103852
packer	0.10316
ram	0.10298
Seahawks	0.102552
team	0.102404
dolphin	0.102094
warrior	0.101444
"Utah Jazz"	0.101001
nugget	0.100594
"Washington Wizards"	0.0995939
colt	0.0995913
wildcat	0.0994734
"Miami Heat"	0.0990599
Viking	0.098911
devil	0.0982921
A's	0.0982918
"Portland Trail Blazers"	0.0981762
ASTROS	0.098156
Padre	0.0981338
"Atlanta Hawks"	0.0979696
wizard	0.0977596
angel	0.0972213
Redskin	0.0966883
"Sacramento Kings"	0.0961639
panther	0.0956379
"Phoenix Suns"	0.0952612
"Los Angeles Clippers"	0.0939811
Jazz	0.09396
cavalier	0.0937995
Orioles	0.0936378
bulldog	0.0928212
"White Sox"	0.0922781
"Charlotte Hornets"	0.0922611
"Cleveland Indians"	0.0920583
"Dallas Mavericks"	0.0920326
Sox	0.0918441
sabre	0.0914369
"Dallas Cowboys"	0.09122
"Red Wings"	0.0911939
flyer	0.0911809
"Detroit Pistons"	0.0908012
comet	0.0907082
Cleveland	0.0905892
coyote	0.08988
"blue jay"	0.0898705
"New York Yankees"	0.0891655
"New York Mets"	0.0887372
diamondback	0.0885901
"blue devil"	0.0883499
king	0.0883042
raider	0.0878944
Portland	0.087709
charger	0.0874527
"Milwaukee Bucks"	0.0873858
matador	0.0869989
Canuck	0.0865654
dog	0.0864811
Bengals	0.0859342
"Chicago Bears"	0.0859051
magic	0.0856291
Dallas	0.0853959
duck	0.0852529
marlin	0.0850592
horse	0.0847986
Supersonics	0.0844756
Canadiens	0.0841594
"Minnesota Timberwolves"	0.0841391
"New York Giants"	0.0838095
Spartan	0.0837553
Trojan	0.0837364
"Florida Marlins"	0.0836008
"Minnesota Vikings"	0.0834319
"Los Angeles Dodgers"	0.0830379
Toronto	0.0829984
"Green Bay Packers"	0.0829879
Phillies	0.0829849
Minnesota	0.0829182
islander	0.0827777
"Indianapolis Colts"	0.0827755
"New York Jets"	0.0826909
"Orlando Magic"	0.082617
Longhorn	0.0825125
"Atlanta Braves"	0.0823763
UCLA	0.08233
Steelers	0.0820344
"Golden State Warriors"	0.0817143
Denver	0.0811368
"Tampa Bay"	0.081117
pirate	0.0809736
Detroit	0.0809545
"New Jersey Nets"	0.0809199
"Washington Redskins"	0.0804308
shark	0.0800257
Indiana	0.0798109
"Los Angeles Kings"	0.0797317
MetroStars	0.0797123
"Dallas Stars"	0.0796539
Raven	0.0796062
"Tar Heels"	0.0793132
"New York Rangers"	0.0792961
"ATLANTA FALCONS"	0.0788353
"San Diego Chargers"	0.0786545
Chicago	0.0786403
"San Antonio"	0.078527
jet	0.0781728
cougar	0.077865
Houston	0.077674
titan	0.0775575
Duke	0.0774714
"St. Louis Rams"	0.0774161
"Cincinnati Reds"	0.0771703
"Miami Dolphins"	0.0771068
"Green Bay"	0.0770007
buck	0.0768226
"Boston Red Sox"	0.0768177
"Denver Nuggets"	0.0766989
Orlando	0.0764902
Indian	0.0764341
Royals	0.0760485
Seminoles	0.0759188
Buffalo	0.0758681
"St. Louis Cardinals"	0.0757091
Milwaukee	0.0756617
Utah	0.0754865
cow	0.075275
"New England Patriots"	0.0751722
"Michigan State"	0.0751582
Phoenix	0.0749911
"Baltimore Orioles"	0.0748819
"Detroit Red Wings"	0.0748431
"Golden State"	0.0747894
Seattle	0.0746456
"San Diego Padres"	0.0744882
buckeye	0.0744095
"D.C. United"	0.0742826
CAT	0.0742462
Boilermakers	0.0740149
red	0.0739907
NBA	0.0738657
sun	0.0736387
"San Francisco @@ers"	0.0736319
Saint	0.0734725
Miami	0.0732499
Blackhawks	0.0731778
"Cleveland Browns"	0.0731693
"Edmonton Oilers"	0.0731113
Expo	0.0727405
Gators	0.0724238
"St. Louis"	0.072166
"Toronto Raptors"	0.0719188
"Denver Broncos"	0.0717508
"Buffalo Bills"	0.0715989
"Philadelphia Eagles"	0.0715596
Carolina	0.0714986
pig	0.0711015
))
("bull market" (desc 14363.3) (sims
boom	0.157201
"bear market"	0.134659
"Bull Run"	0.114657
craze	0.0903491
slump	0.0874056
mania	0.0855102
downturn	0.0847191
volatility	0.0817681
frenzy	0.0807952
"stock market"	0.0805282
sell-off	0.0803213
recession	0.0788032
expansion	0.0786769
surge	0.0760873
"baseball season"	0.0760638
"technological revolution"	0.074049
"rapid growth"	0.0738373
uptrend	0.0736756
selloff	0.073298
upturn	0.0732968
prosperity	0.069539
drought	0.0692407
recovery	0.0692039
Correction	0.068723
"consumer demand"	0.0686369
"dry season"	0.0686268
turmoil	0.0683119
"labor market"	0.0677738
"industrial revolution"	0.0670232
turbulence	0.0660723
"rainy season"	0.0658064
revolution	0.0657512
upheaval	0.065551
turnaround	0.065537
"basketball season"	0.0651028
"gold rush"	0.065037
hyperinflation	0.0650296
runup	0.0649255
cycle	0.0648457
rivalry	0.0644068
feud	0.06419
"success story"	0.0635121
"business cycle"	0.0632414
trend	0.0630767
popularity	0.0627951
"heat wave"	0.0624178
consolidation	0.0619186
spree	0.0618597
"earnings growth"	0.0616712
epidemic	0.0614771
bubble	0.0613541
run-up	0.0611501
downslide	0.0609639
insurgency	0.0606842
revival	0.0606175
bloodletting	0.0604548
contraction	0.0599448
"civil war"	0.0598775
gyration	0.0594483
"fund-raising campaign"	0.0592405
scarcity	0.0589321
"love affair"	0.0588561
"rising prices"	0.0588007
valuation	0.0587748
inflation	0.0587292
"growing season"	0.0586479
"economic crisis"	0.0582312
"Cold War"	0.0580235
"oil price"	0.0577981
"price increase"	0.0577602
"dark ages"	0.0573081
deregulation	0.0572692
resurgence	0.0571799
"Iran-Iraq War"	0.0570262
slowdown	0.0566509
"La Nina"	0.0564842
renaissance	0.0564434
"military campaign"	0.056125
rout	0.0560902
"market correction"	0.0559969
euphoria	0.0559773
boomlet	0.0558633
"equity market"	0.0557781
"mortgage rate"	0.0556241
fad	0.0554375
"football season"	0.0553955
depreciation	0.0547323
upsurge	0.0545795
ferment	0.0542511
ordeal	0.0541671
"housing market"	0.054054
influx	0.0539916
counterculture	0.0539913
spurt	0.0538689
stagnation	0.0538511
lockout	0.0537988
weakness	0.053773
famine	0.0536547
"bond market"	0.0536363
heyday	0.0536024
downtrend	0.0534592
reign	0.0531907
harvest	0.0529267
crunch	0.052888
dynasty	0.0526519
drawdown	0.0522077
tenure	0.05198
"cost cutting"	0.0518721
"Great Depression"	0.0517297
"employment growth"	0.0512096
affluence	0.0511659
"solar eclipse"	0.0509688
"leveraged buyout"	0.0508043
downsizing	0.0507338
"labor dispute"	0.0507215
profitability	0.0506998
"Big Red Machine"	0.0506608
climate	0.0505982
trading	0.0505888
monsoon	0.0505863
"Balkan Wars"	0.0505756
transformation	0.050536
enthusiasm	0.0504132
comeback	0.0503505
swoon	0.0502324
flowering	0.0500727
"academic year"	0.0499701
globalization	0.0499233
malaise	0.0497718
stalemate	0.0495711
Depression	0.0495693
meltdown	0.0494304
appetite	0.0494296
"holiday season"	0.049166
unrest	0.0491589
"El Nino"	0.0491282
speculation	0.0489851
Saga	0.0488257
"price war"	0.0487077
"home sale"	0.0483906
"transition period"	0.0483721
crises	0.0483511
"takeover battle"	0.0483288
optimism	0.0482498
"job market"	0.0482426
embargo	0.0482225
deadlock	0.0481768
spell	0.0481107
quest	0.0480967
acceleration	0.0480961
dominance	0.0480531
migration	0.0480156
glut	0.047998
thaw	0.0478801
uncertainty	0.0477572
walkout	0.0476933
binge	0.0476141
laggard	0.0476066
"winning streak"	0.0475905
phenomenon	0.0475592
instability	0.0475402
"crime wave"	0.0474774
fascination	0.0474724
sluggishness	0.0474578
profit-taking	0.0473741
marketplace	0.0473539
"hunting season"	0.047322
"Whitewater investigation"	0.0471369
tumult	0.0470819
falls	0.0470696
warming	0.0470032
bloodshed	0.0469635
"three pitchers"	0.046934
bloodbath	0.0468678
jitters	0.0468369
"last half"	0.0467165
impasse	0.0466738
manhunt	0.0465417
"Cultural Revolution"	0.0465093
carnage	0.0464094
"work stoppage"	0.0463315
workday	0.0462239
crackdown	0.0461696
"blue-chip stock"	0.0461237
spiral	0.0461105
sickout	0.0460921
exodus	0.0460434
odyssey	0.0456976
"investor interest"	0.0454703
bombardment	0.0454451
polling	0.0454162
inflow	0.0452739
cutback	0.045259
fluctuation	0.0452306
honeymoon	0.0452183
purge	0.045169
buying	0.0450864
"second quarter"	0.0449943
rebellion	0.0448753
oversupply	0.0448572
))
("Bull Run" (desc 2601.49) (sims
gyration	0.142406
sell-off	0.118171
"bull market"	0.114657
uptrend	0.113065
swoon	0.1041
"nose dive"	0.104007
buoyancy	0.102856
sluggishness	0.100823
runup	0.100786
bullishness	0.100337
downdraft	0.0984629
selloff	0.0977309
downtrend	0.0937899
downslide	0.0880284
boomlet	0.0864036
"market correction"	0.0823819
volatility	0.0804505
sickout	0.0756629
battering	0.0741229
"waiting game"	0.0730289
turbulence	0.0727104
Correction	0.0717099
"baseball season"	0.0703632
"football season"	0.0699329
"budget debate"	0.0697528
upturn	0.0687101
"basketball season"	0.0686744
run-up	0.0662409
freefall	0.065979
jitters	0.0657759
"trading session"	0.0657556
overvaluation	0.064847
"military drill"	0.0640735
valuation	0.063655
resurgence	0.0633195
gabfest	0.0626068
mania	0.062542
downturn	0.0623119
"Abraham Olano"	0.0614278
resilience	0.0606126
fieldwork	0.0597798
"rainy season"	0.0597612
hibernation	0.0590221
"bear market"	0.0578227
"Galo Blanco"	0.0578023
outperformance	0.0577655
"presidential term"	0.0576215
agitation	0.0566739
Sensex	0.0566667
stakeout	0.0565141
"work stoppage"	0.0563669
carnage	0.0560092
"academic year"	0.0559451
"cold snap"	0.0559174
meltdown	0.0550934
"Francisco Clavet"	0.0550583
"growing season"	0.0548546
infatuation	0.054045
onslaught	0.0538005
"Fernando Escartin"	0.0537888
"Carlos Costa"	0.0537485
"Alberto Berasategui"	0.0537463
downpour	0.0531851
upsurge	0.0527309
bloodletting	0.0525982
turnaround	0.0519285
rioting	0.0515905
"Carlos Sainz"	0.0515797
skittishness	0.0513294
capitalization	0.0511964
monsoon	0.0508997
Gettysburg	0.0508076
tailspin	0.0508072
REPSOL	0.0506404
barometer	0.0503008
"Consumer Electronics Show"	0.0501236
"space walk"	0.0500592
heatwave	0.0497516
"ice age"	0.049645
"Sergi Bruguera"	0.0496448
fasting	0.0496044
"baby boom"	0.0494381
tripling	0.0494103
"Weighted Price Index"	0.049287
influx	0.0490778
"Opium War"	0.0489242
Oktoberfest	0.0487827
"term of office"	0.0487547
dew	0.0487522
laggard	0.0486935
"air attack"	0.0483793
fluctuation	0.0483653
"good fortune"	0.0482048
stayaway	0.0480896
"Javier Sanchez"	0.0480231
"Albert Portas"	0.0479058
"dividend yield"	0.0478855
binge	0.0478467
"Iran-Iraq War"	0.0477543
p/e	0.0475956
"King Juan Carlos"	0.0475826
"earnings growth"	0.0475261
"trading activity"	0.0473618
"Albert Costa"	0.0472954
slumber	0.0472868
"over @@@ points"	0.0472399
indices	0.0470215
selloffs	0.0469771
subsidence	0.0468246
"rapid growth"	0.0466654
tumult	0.0465494
"cold spell"	0.0464899
ascent	0.0464781
Waterloo	0.0464312
"dry season"	0.0463753
"business cycle"	0.0460968
"knockout punch"	0.0459457
ruckus	0.0459285
flotation	0.0458089
depletion	0.0457509
"military campaign"	0.0456843
"First World War"	0.0455728
"fund-raising drive"	0.0452644
uptick	0.0451361
"Felipe Gonzalez"	0.0450998
sit-in	0.0450489
Telefonica	0.044997
flowering	0.0448145
"takeover attempt"	0.0440872
"Joint Liaison Group"	0.0440073
conflagration	0.0439921
"tour of duty"	0.0439309
euphoria	0.043875
"closing price"	0.0438627
homestand	0.0438546
firefight	0.0438044
rollout	0.0438006
upheaval	0.0437944
one-upmanship	0.043775
"hunger strike"	0.0437654
rainout	0.043701
"road show"	0.0436535
falling-out	0.0436432
"holiday season"	0.0436065
flare-up	0.0434147
casa	0.0434031
manhunt	0.0433375
processional	0.0433049
"takeover battle"	0.0432606
"school year"	0.0431053
"rate of growth"	0.0430917
"high tide"	0.043059
"piece of cloth"	0.0430375
"Composite Index"	0.0426675
"Jewish Sabbath"	0.0426637
blowout	0.0426216
"calendar year"	0.0426024
"boat race"	0.0425933
spacewalk	0.0425272
"heat wave"	0.0425175
"Miguel Angel Jimenez"	0.0424847
Snowfall	0.0423661
bloodshed	0.0422819
spurt	0.0418922
avocation	0.041697
epoch	0.0415335
"air raid"	0.0414818
snafu	0.0414691
uneasiness	0.0411719
"Lunar New Year"	0.0410986
trajectory	0.0409603
FTSE	0.0409312
malaise	0.0408966
"success story"	0.0408853
"X Games"	0.0408293
contraction	0.0407924
"labor dispute"	0.0406333
"National Court"	0.0406157
sell-offs	0.0406062
imbroglio	0.0405855
free-for-all	0.0404985
temblor	0.0404446
"Alberto Costa"	0.0402998
"steel mill"	0.0402992
deflation	0.0402526
shakeout	0.0402453
workday	0.0402429
headcount	0.0402296
"working day"	0.0400987
melee	0.0400831
"starting time"	0.0400795
))
(Bullard (desc 881.342) (sims
Geiger	0.146375
Gorter	0.138902
Hendrickson	0.13706
Anelka	0.122915
Nailon	0.120175
Muoneke	0.11926
Kreuter	0.119077
Bratton	0.115664
Mcbride	0.114729
"Van Exel"	0.113724
Andreychuk	0.112562
hodgson	0.111042
Milbury	0.110975
Lieberthal	0.109434
Ruehe	0.106347
Elam	0.105883
Polian	0.105655
Niedermayer	0.105139
Calvary	0.103897
Holik	0.101952
Croshere	0.101504
Langham	0.101252
Cooley	0.100545
McSorley	0.0998573
Solis	0.0997743
Neff	0.098233
Lowry	0.0975979
Stackhouse	0.0974772
Dunleavy	0.0974172
Dunham	0.0965749
Advani	0.0963797
Gogel	0.0956871
LeClair	0.0956138
Feuer	0.0955997
Barrie	0.0954673
Marinovich	0.0954543
Jayasinghe	0.0939553
Singson	0.0929505
Monson	0.0922322
Kuhn	0.0919774
Sasser	0.0918654
Betts	0.091329
Tharp	0.0911324
Ceballos	0.0910828
Soward	0.0910175
Verbeek	0.0907926
Pippig	0.0907554
Chouinard	0.0906363
Mendez	0.0901641
Gillom	0.0898771
Jarrell	0.0896386
Alicea	0.0895463
Trepagnier	0.0894025
Beckwith	0.0892773
Clements	0.0892192
Kluivert	0.0892043
Gervin	0.0886416
Carollo	0.0886264
Henning	0.0884012
Naumann	0.0883424
Piot	0.0882783
Walbeck	0.0881104
"administration official"	0.0877442
Childs	0.0875416
Daigle	0.0874529
"Di Canio"	0.0872018
Devine	0.0871677
Harr	0.086969
Skiles	0.0868853
Goossen	0.0868704
Duchesne	0.0858247
Sojo	0.0857198
Cink	0.0855802
Najera	0.0854443
McInnis	0.085423
Reichel	0.0853538
Laperriere	0.085349
Longley	0.0851849
Westbrook	0.0849878
Manley	0.0849418
Cirillo	0.0848344
Padilla	0.0845274
Boles	0.084429
Grasso	0.0843813
Dickson	0.0843389
Kremer	0.0842517
Pitney	0.0841079
Godfrey	0.0837219
Klestil	0.0836198
Suker	0.0836002
Wenger	0.0835179
Aventajado	0.0833361
Rothenberg	0.0832536
Flanagan	0.0826291
Zito	0.0824915
Monahan	0.0824507
Steiner	0.0824027
Inman	0.0822821
Perisho	0.0821703
Hakim	0.0821068
Yzerman	0.0817803
Odom	0.0816515
Grimsley	0.0813851
Ciampi	0.0809722
Stinnett	0.080708
Neilson	0.0806976
Vinatieri	0.0805906
Insulza	0.0804532
Soyinka	0.0801889
Valenzuela	0.0800833
McCown	0.0795646
Briggs	0.0794157
Kapono	0.0793532
Audette	0.0791576
Roenick	0.0789136
Maddox	0.0788964
Bergeron	0.078771
Laudrup	0.078732
Turgeon	0.0787118
Nowitzki	0.0786493
Stricker	0.0784683
Rubenstein	0.0783769
Cremins	0.0783412
Krasniqi	0.078251
Antley	0.0780815
Kauffman	0.0779691
Stadler	0.0778211
Velarde	0.077723
Conroy	0.0776992
Rongen	0.0776806
Cienfuegos	0.077658
Cronin	0.0775997
Ainge	0.0774448
Ochoa	0.0774083
Gainey	0.0772843
Gugliotta	0.0772319
Baerga	0.0772174
Dungy	0.0770901
Okada	0.0768676
Protas	0.0768617
McKnight	0.0768528
Kovalev	0.0766562
Hardeman	0.0764519
Halloran	0.0763593
White-McCarty	0.0761738
Duffy	0.0761145
"Matt Bullard"	0.0760263
Stoudamire	0.0759828
Munson	0.0759085
Meares	0.0756909
Mandella	0.0756496
Kukoc	0.0754145
Abdur-Rahim	0.0752539
Harris-Lewis	0.0751963
Wiley	0.0751478
Weatherspoon	0.0751386
Schrempp	0.0751181
Savarese	0.0748316
Sydor	0.0747072
Kyprianou	0.0746685
Calloway	0.0746326
Norstrom	0.0745435
Gilmour	0.0744191
Iverson	0.0743703
Lehane	0.0742622
Alcantara	0.0742204
Wolfson	0.0741947
Vogts	0.0741867
Goldin	0.0741514
Woolley	0.0741496
Nesby	0.0741353
Heinrichs	0.0740831
Underwood	0.0738118
"Dos Santos"	0.073696
Schmid	0.0734791
"Adam Vinatieri"	0.0734235
JOYNER	0.0733941
Sheehan	0.0733769
Hirst	0.0733631
Enis	0.073296
Kuehne	0.0731749
Gosper	0.0730916
Draper	0.0730762
Lundberg	0.0729248
Engel	0.0728142
Frye	0.0728131
Alcorn	0.0728061
Parrish	0.0727934
Fedorov	0.0727776
Hodler	0.0726869
McKenna	0.0725767
Bustamante	0.0725612
Sim	0.0725287
Barros	0.0724675
Sabonis	0.07237
Lett	0.0722933
Dowd	0.0722689
Sather	0.0722648
Primeau	0.0722406
Seymour	0.0722175
))
(bulldog (desc 17614.7) (sims
wildcat	0.189373
Trojan	0.185866
Boilermakers	0.178352
Longhorn	0.174965
husky	0.173086
buckeye	0.172325
matador	0.171368
gamecock	0.166798
Sooners	0.16339
cougar	0.161883
Aggies	0.159386
bruin	0.154404
Seminoles	0.153308
Cornhusker	0.152633
"Tar Heels"	0.152512
Vols	0.149966
Gators	0.149739
"blue devil"	0.148786
Eagles	0.147892
Spartan	0.143247
bronco	0.142635
Jayhawks	0.139597
BEARS	0.138958
Wolverine	0.136885
Razorback	0.136701
badger	0.134356
falcon	0.134009
Hokies	0.13201
ram	0.130033
Redskin	0.129979
Pepperdine	0.129925
Minutemen	0.129193
"Crimson Tide"	0.128166
Seahawks	0.126712
terrapin	0.125778
Wolfpack	0.125396
"Nittany Lions"	0.125278
cowboy	0.125113
packer	0.12497
bearcat	0.124786
Viking	0.12409
Hawkeyes	0.123893
Lobos	0.122939
Gonzaga	0.122191
cardinal	0.121928
dolphin	0.121254
UCLA	0.120167
"Michigan State"	0.119894
USC	0.119745
"Iowa State"	0.118191
"Fighting Irish"	0.118126
panther	0.118058
patriot	0.117703
"Kansas State"	0.117315
TCU	0.117093
pacer	0.116605
charger	0.116491
Giants	0.11591
Raven	0.115554
"Ohio State"	0.115423
cavalier	0.114911
Steelers	0.114458
Purdue	0.114049
oiler	0.113742
"Penn State"	0.113671
Hornet	0.111914
LSU	0.111555
Lakers	0.111424
Hoosier	0.11127
raider	0.110895
"Red Storm"	0.110732
Bengals	0.110597
"Denver Broncos"	0.110446
"Mississippi State"	0.110338
"Scarlet Knights"	0.109965
"Florida State"	0.109462
"Dallas Cowboys"	0.10926
UConn	0.109245
"Golden Hurricane"	0.109234
Rutgers	0.109215
ASU	0.108946
"Miami Dolphins"	0.108422
Sonics	0.107846
Huskers	0.107766
"yellow jacket"	0.107622
NAU	0.107455
"Louisiana Tech"	0.107342
RedHawks	0.106849
"Horned Frogs"	0.106788
"Minnesota Vikings"	0.10573
sabre	0.105676
clipper	0.105651
CSUN	0.105397
MetroStars	0.105377
"Green Bay Packers"	0.105271
"Virginia Tech"	0.104947
Celtics	0.104654
"Texas Tech"	0.104567
sixer	0.10414
Illini	0.103593
maverick	0.103418
colt	0.103395
Jaguar	0.103087
"Georgia Tech"	0.102325
"Red Raiders"	0.102296
UMass	0.10221
BUCCANEER	0.102195
grizzly	0.102047
"Indianapolis Colts"	0.102028
"Red Wings"	0.102009
OSU	0.101882
piston	0.101772
"Notre Dame"	0.101761
titan	0.101559
"Chicago Bears"	0.101383
BYU	0.101382
Tennessee	0.101329
Bucs	0.100744
"White Sox"	0.0997963
"ATLANTA FALCONS"	0.0997249
"Washington Redskins"	0.0994644
Baylor	0.0993274
"Seton Hall"	0.0991954
tiger	0.099184
ASTROS	0.098832
"Oregon State"	0.0987994
spur	0.0978351
"Arizona State"	0.0978253
tech	0.0972818
Knicks	0.0972747
"Philadelphia Eagles"	0.0971802
Sox	0.0970862
hawk	0.0965999
devil	0.0965746
"New York Jets"	0.096412
"Red Sox"	0.0962894
"New York Giants"	0.0957328
"Trail Blazers"	0.0957317
Duke	0.0954192
"Tennessee Titans"	0.0953128
Sparks	0.0949487
Padre	0.0948022
gopher	0.0945269
brave	0.0931599
"St. Louis Rams"	0.0930059
bull	0.0928212
Cavs	0.09237
"Seattle Seahawks"	0.09234
Stanford	0.0923133
"blue jay"	0.0921882
"Georgia Southern"	0.0921827
Orioles	0.0917593
"Dallas Stars"	0.0915822
Phillies	0.0914301
"Green Bay"	0.0914023
blazer	0.0912752
Clemson	0.0908515
comet	0.0908393
Starzz	0.0905321
Canuck	0.0904171
duck	0.0902568
"Boston College"	0.0902101
"Tampa Bay"	0.0901659
Hoya	0.0901305
dodger	0.0901144
K-State	0.090004
Rattler	0.0899647
Buffaloes	0.0899544
Stephenville	0.0896215
lion	0.0891867
"San Francisco @@ers"	0.0889714
Indiana	0.0888601
Canadiens	0.0884317
Timberwolves	0.0879777
ranger	0.0877976
"Miami Heat"	0.0876735
Syracuse	0.0876164
Nebraska	0.0875683
cub	0.0875567
"Buffalo Bills"	0.0875187
"San Antonio Spurs"	0.0874922
"Los Angeles Kings"	0.0874665
Mets	0.0873635
"Oklahoma State"	0.0870009
BC	0.0869979
"New England Patriots"	0.0869537
niner	0.0869257
"Minnesota Timberwolves"	0.0864735
"Southwest Missouri State"	0.0864532
"Carolina Panthers"	0.0863771
"Utah State"	0.0862684
diamondback	0.0862649
"Kansas City Chiefs"	0.086009
owl	0.0860083
Royals	0.0858918
Denver	0.0857256
"Minnesota Twins"	0.0857067
"Fresno State"	0.0856395
A's	0.0855562
commodore	0.0855141
))
(bulldozer (desc 14871) (sims
backhoe	0.195252
"dump truck"	0.167784
excavator	0.155761
jackhammer	0.144258
tractor	0.137132
loader	0.124824
"fire truck"	0.122807
"personnel carrier"	0.121602
Crane	0.116555
snowplow	0.115681
plow	0.106978
Ambulance	0.105947
truck	0.10302
"army tank"	0.0974402
Humvees	0.0963213
shovel	0.0937066
"military vehicle"	0.0909382
forklifts	0.0905704
"fire engine"	0.0885773
jeep	0.0883144
"chain saw"	0.0878613
tank	0.0865499
"police car"	0.0847488
forklift	0.0842411
helicopter	0.0802601
harvester	0.078307
"lawn mower"	0.0781416
pickax	0.0760918
twister	0.0745198
"school bus"	0.0736843
semitrailer	0.0723141
lorry	0.0719453
gunship	0.07192
firefighters	0.0710491
rig	0.0708604
generator	0.0705597
Motorcycle	0.0704462
"water cannon"	0.0700933
rescuer	0.0697462
tanker	0.069136
firemen	0.0689861
"National Guardsmen"	0.0685676
bloodhound	0.0684001
minibuses	0.068342
crowbar	0.0680244
locomotive	0.067045
machinery	0.0659026
artillery	0.0656237
steamroller	0.0654475
ax	0.065405
"patrol boat"	0.0653733
"diesel engine"	0.0648653
barge	0.0647324
"subway train"	0.0643445
gunboat	0.0641676
Crews	0.0633984
bus	0.0633763
"tractor trailer"	0.0633625
mower	0.063029
"patrol car"	0.0628897
trailer	0.0625424
convoy	0.0618783
workmen	0.0614074
"Jeep Cherokee"	0.0604965
boat	0.0600385
tugboat	0.0597995
reinforcement	0.0597126
sprayer	0.0595048
automobile	0.0589742
"fire fighter"	0.0582649
"motor vehicle"	0.0580817
warplanes	0.0578921
fighter-bombers	0.057852
snowmobile	0.0576504
"machine tool"	0.057455
van	0.0573539
"jet engine"	0.0573411
"power tool"	0.0571282
hose	0.0571012
tornado	0.0566852
"squad car"	0.0566486
limousine	0.0566392
tractor-trailers	0.0566329
"rocket launcher"	0.0564718
"freight train"	0.05601
hearse	0.055745
"police van"	0.0549425
"pickup truck"	0.0549084
wagon	0.054563
"artillery unit"	0.0541379
"mobile home"	0.0540564
motorbike	0.0540563
mover	0.0537273
"police dog"	0.0535467
crew	0.0529903
"small boat"	0.0525116
Cruiser	0.0523514
"machine gun"	0.0521
minibus	0.0519676
"National Guard"	0.0518305
"moving van"	0.0512334
aircraft	0.0511754
taxi	0.0510348
sled	0.0509759
rickshaw	0.0509092
"heavy weapon"	0.050705
"army engineer"	0.0502906
trooper	0.0502121
explosive	0.0497188
Buss	0.0497072
machete	0.0496897
hovercraft	0.0496259
"spare part"	0.0492229
taxicab	0.0491833
warship	0.0491437
"landing craft"	0.0488591
engine	0.0486291
paratrooper	0.048395
winch	0.0483162
airplane	0.0482323
Tram	0.0482041
searchlight	0.0480017
propeller	0.0477994
Apaches	0.047752
"station wagon"	0.0476827
infantry	0.0476461
"railroad car"	0.0476379
"water pump"	0.0475898
armor	0.0472697
"express train"	0.0471742
motorboat	0.0468119
wrecker	0.0467987
vessel	0.046743
"cable car"	0.0467401
tent	0.0466264
"passenger train"	0.0465734
bomber	0.0465499
munition	0.0463674
"passenger car"	0.0463469
ammunition	0.0462858
knife	0.0461023
"freight car"	0.0459996
"hand tool"	0.0459444
bullet	0.045654
blower	0.0456191
medic	0.0455161
Mini-bus	0.0454403
wheelbarrow	0.0454301
pickup	0.0450484
mule	0.0450187
digger	0.0450067
submersible	0.0449508
lifeboat	0.0448381
turbine	0.0447394
"storm cloud"	0.0447295
"fighter aircraft"	0.0441875
missile	0.0441559
truckload	0.0441024
diver	0.0440275
"container ship"	0.0438323
weaponry	0.0437
soliders	0.0436964
"printing press"	0.0434513
launcher	0.0433335
"garbage truck"	0.0429975
Robot	0.042974
SUV	0.0429587
Workers	0.042861
mini-buses	0.042785
trolley	0.0427413
motor	0.0426757
marcher	0.0426734
"electric car"	0.0426729
Streetcar	0.0426387
solder	0.0425768
parachute	0.0425414
tricycle	0.0424652
speedboat	0.0423204
"car bomb"	0.0423041
RVs	0.0421582
"military police"	0.0421473
cutter	0.0420862
"race car"	0.0420691
"space heater"	0.041525
pulley	0.0415141
screwdriver	0.0414883
policemen	0.0413928
busload	0.0413831
mudslide	0.0412685
grader	0.0411691
chopper	0.0411642
"rolling pin"	0.0411025
"federal agent"	0.0410802
blimp	0.0410713
camper	0.041036
"electric motor"	0.040767
commando	0.0407016
"stock car"	0.0405329
"intelligence agent"	0.0401115
bicycle	0.0401111
))
(bullet (desc 61870.8) (sims
shrapnel	0.188563
Grenade	0.17218
gunshot	0.161959
"tear gas"	0.159141
rifle	0.150837
ammunition	0.146795
gunfire	0.14301
gun	0.136319
pistol	0.135899
bomb	0.134952
"machine gun"	0.130529
handgun	0.126377
pellet	0.121014
"automatic rifle"	0.119285
"hand grenade"	0.118211
Shell	0.117732
mortar	0.11448
knife	0.113825
projectile	0.113056
shotgun	0.112894
revolver	0.112191
"bullet hole"	0.110964
cartridge	0.11072
"submachine gun"	0.108513
weapon	0.107372
missile	0.10548
shot	0.102425
casing	0.102227
"water cannon"	0.100422
rocket	0.0951609
wound	0.0946267
canister	0.0920699
machine-guns	0.0912481
fire	0.0902025
machete	0.0886529
firearm	0.0884995
"land mine"	0.0882676
"rocket launcher"	0.0877253
launcher	0.086827
"explosive device"	0.0861923
"mortar fire"	0.0856147
explosive	0.0855408
artillery	0.0854705
"cluster bomb"	0.0828209
baton	0.0810392
blast	0.0797462
ball	0.079143
arrow	0.0789665
bayonet	0.0782945
debris	0.0771024
"pipe bomb"	0.0760793
detonator	0.0748381
sword	0.0748294
munition	0.073786
"Molotov cocktail"	0.073715
fragment	0.0684401
cannon	0.0682509
dagger	0.0681592
firebomb	0.067644
fist	0.0673178
tank	0.067178
"line drive"	0.0667335
brick	0.066269
rock	0.0661748
stone	0.0660781
punch	0.0659081
object	0.0656859
firework	0.0650148
explosion	0.0650042
"foul ball"	0.0648455
torpedo	0.0648336
"baseball bat"	0.0647016
firecracker	0.0644906
stick	0.0639267
bottle	0.0637771
warhead	0.0631539
volley	0.0631093
spray	0.0625601
tornado	0.0618318
shooting	0.0615678
wounded	0.0615576
car	0.0611471
bone	0.0610428
needle	0.0605334
round	0.0605028
virus	0.0604384
sniper	0.0599502
shelling	0.0592701
particle	0.058337
landmines	0.0576378
"personnel carrier"	0.0573295
Meteor	0.056657
bat	0.0562397
helicopter	0.0560443
ordnance	0.0559064
lightning	0.0558258
mine	0.05563
arm	0.05542
chemical	0.0554082
glass	0.0553429
shard	0.054741
dart	0.0544136
device	0.0543181
drug	0.0542567
assailant	0.0542005
attacker	0.0539928
soldier	0.0539456
"heavy weapon"	0.0539436
"car bomb"	0.0538832
slug	0.0538342
poison	0.0538265
"blood clot"	0.0533159
barrage	0.053314
blood	0.0532519
rod	0.0532214
vehicle	0.0531675
injury	0.053085
Coin	0.0529364
helmet	0.0529001
hurricane	0.0523336
gunmen	0.0521688
fastball	0.0521196
stitch	0.0520072
puck	0.0519678
clip	0.0518113
"artillery fire"	0.05181
truck	0.0517322
piece	0.0513421
"passing shot"	0.0513335
camera	0.0512776
gunman	0.0512329
boat	0.0512119
asteroid	0.051148
flare	0.0511084
intruder	0.0510765
warplanes	0.0508823
nail	0.0508328
balloon	0.0507879
body	0.0505366
horse	0.0502563
dynamite	0.0500227
pipe	0.0499893
Hammer	0.0499347
laser	0.0496215
tumor	0.0495326
hole	0.0495162
material	0.0493762
meteorite	0.0491191
dust	0.0491046
"surface-to-air missile"	0.0490888
"military vehicle"	0.0487509
flashlight	0.0487391
"nuclear warhead"	0.04872
pesticide	0.0487172
plane	0.0486376
storm	0.0486212
bug	0.0485299
dog	0.0483943
egg	0.0483128
tire	0.0481479
"golf ball"	0.0480009
gas	0.0477054
shield	0.0474227
ax	0.0473649
injection	0.0468604
wheel	0.0467841
violence	0.0466456
twister	0.0466416
overdose	0.0465924
"beer bottle"	0.0465695
bag	0.0465275
"bomb blast"	0.0465144
accident	0.0465029
civilian	0.0463617
"one shot"	0.0463054
fluid	0.0462173
equipment	0.0461041
elbow	0.0460904
radiation	0.0460505
avalanche	0.0457754
stroke	0.0457661
finger	0.0457233
"police officer"	0.0456878
bulldozer	0.045654
confetti	0.0455894
weaponry	0.0453877
airplane	0.0453667
smoke	0.0453631
Quake	0.0452529
"nerve gas"	0.0451898
bus	0.0451792
aircraft	0.0451766
mask	0.0451305
police	0.0450981
jet	0.0450741
protester	0.0450324
Motorcycle	0.0449182
bomber	0.0448296
tube	0.0448267
earthquake	0.0448116
))
("bullet hole" (desc 5942.92) (sims
shrapnel	0.120099
bullet	0.110964
stitch	0.0928396
scar	0.0793617
Gash	0.0747591
great-grandchildren	0.0740858
gunshot	0.0728919
B-@s	0.0703622
slit	0.0689738
chink	0.0648932
"flight of stairs"	0.0643814
"break of serve"	0.063588
bruise	0.0629786
no-decisions	0.0624782
"All-Star Games"	0.0621212
indentation	0.0619268
"Bengal tiger"	0.0609375
crater	0.0603092
incision	0.0585361
pane	0.0583129
dent	0.0579415
"No. @s"	0.0576169
years.	0.0572195
detonator	0.0571202
crewmembers	0.0561916
"dead body"	0.0556105
porthole	0.0547915
"Pro Bowls"	0.0544813
Dutchmen	0.0544378
knife	0.053832
"Ryder Cups"	0.0529092
"Final Fours"	0.0527299
baserunners	0.0524231
takeaways	0.0523703
ref	0.0521667
"base runner"	0.051096
Klansmen	0.0509675
"coat of paint"	0.0507588
arrow	0.0503557
"internal organ"	0.0500258
spacewalks	0.0499428
"laser beam"	0.0490966
twinge	0.0478836
"black eye"	0.0476184
"word of advice"	0.047537
firsts	0.0470329
sub-projects	0.0467883
"service break"	0.0464737
starts.	0.0463009
ache	0.0462893
vertebra	0.0461445
"major-league team"	0.0458762
needle	0.0458097
dimple	0.0457677
abscess	0.0454605
Frenchmen	0.0454325
near-misses	0.0453501
pore	0.0452867
casing	0.0452599
"city block"	0.0452108
motorcyclists	0.045135
"day of rest"	0.0449143
"pool table"	0.044835
bogy	0.044605
"mountain gorilla"	0.0442943
imperfection	0.0442441
seam	0.0440992
"fire truck"	0.043894
MiG-@@s	0.0436692
"unearned run"	0.0433871
asterisk	0.0432873
graffiti	0.0431596
A@@@s	0.0431242
stinker	0.0430459
"black person"	0.0429696
snowmobilers	0.0428684
"explosive device"	0.0428403
postseasons	0.0427304
hundredth	0.0424514
Copt	0.0421693
"land mine"	0.0420427
"Cy Young Awards"	0.0420225
tenths	0.0419467
"flat tire"	0.0417678
prong	0.0416978
swastika	0.0416942
"light bulb"	0.0416591
skydiver	0.0416577
"pipe bomb"	0.041638
insulation	0.041519
occupant	0.041432
Grenade	0.0413116
ibis	0.0411776
cannonball	0.0411341
"guardian angel"	0.0411232
foal	0.0410916
"automatic rifle"	0.0409622
pothole	0.0409263
molar	0.0408846
lesion	0.0408192
syringe	0.0406671
cantons	0.0404635
seasons.	0.040385
abstention	0.0403445
"subsidiary company"	0.040335
assailant	0.0402405
"piece of furniture"	0.0400141
))
(bulletin (desc 16843.3) (sims
newsletter	0.120058
gazette	0.109145
Lancet	0.102842
"press release"	0.0994771
"news bulletin"	0.0947741
"news release"	0.0941441
Circular	0.0919682
"Le Figaro"	0.0911608
update	0.0911197
memo	0.0903792
"white paper"	0.08915
communique	0.0888462
pamphlet	0.0873267
brochure	0.0868502
"New England Journal"	0.0848204
summary	0.083812
"Weekly Standard"	0.0816869
Granma	0.0798229
journal	0.0781103
"open letter"	0.0780434
statistic	0.0772105
booklet	0.0769884
prospectus	0.0769748
dispatch	0.0764653
"Koha Ditore"	0.0762571
"Washington Times"	0.0761982
"proxy statement"	0.0754622
Haaretz	0.0751956
"financial statement"	0.0750887
memorandum	0.0748561
directive	0.0744079
"Financial Times"	0.0743648
manual	0.0740189
"Der Spiegel"	0.0732098
"Advertising Age"	0.0731976
Maariv	0.0729271
survey	0.0728275
"Consumer Reports"	0.0712084
"TV guide"	0.0709993
"medical report"	0.0709664
"Nihon Keizai Shimbun"	0.0706899
manifesto	0.0701939
"El Pais"	0.0701795
"American Journal"	0.0699356
"Gallup Poll"	0.0695782
questionnaire	0.0694598
"Sydney Morning Herald"	0.0687266
transcript	0.0685572
"Yediot Ahronot"	0.0683495
periodical	0.0683456
"employment report"	0.0682283
commentary	0.0680756
"Le Monde"	0.0677825
letter	0.0668386
data	0.0668128
al-Hayat	0.0663774
"report card"	0.066092
notice	0.0660226
"New Republic"	0.0657974
"New York Post"	0.0655119
Times	0.0645336
leaflet	0.0640693
"El Mundo"	0.0640626
"vanity fair"	0.0639796
edition	0.063935
"Census and Statistics Department"	0.0637059
"USA TODAY"	0.063621
"progress report"	0.0633053
"Central Bureau of Statistics"	0.0632473
telegraph	0.0629836
"Boston Herald"	0.0629727
"news article"	0.0629419
yearbook	0.0626641
"Atlantic Monthly"	0.0625936
"official document"	0.0624933
advisories	0.0623801
"Daily Mail"	0.0616274
"Wall Street Journal"	0.060872
directory	0.0607967
"New York Review"	0.060597
obituary	0.0604267
article	0.0604202
"Jerusalem Post"	0.0602369
Kommersant	0.0601912
handbook	0.0600862
Reforma	0.0597804
"Field Poll"	0.0596884
publication	0.0596835
"Washington Post"	0.0593989
almanac	0.0593573
"International Herald Tribune"	0.0592491
Digest	0.0589458
Esquire	0.0587095
excerpt	0.0585286
"New York Observer"	0.0584739
"news story"	0.0581417
"Los Angeles Times"	0.0581151
Newsweek	0.0580925
"Village Voice"	0.0577192
"news report"	0.057414
L'Equipe	0.0572025
"New Straits Times"	0.0572011
"Rolling Stone"	0.056804
"Arizona Republic"	0.0561789
telegram	0.0561629
editorial	0.056151
"Guangming Daily"	0.0559909
"Daily News"	0.0559857
"weather forecast"	0.0558246
handout	0.0558155
Newsday	0.0558134
"U.S. News"	0.0556548
"Seattle Times"	0.0555751
statistics	0.0555123
guidebook	0.0552741
"Entertainment Weekly"	0.0551886
"Moscow Times"	0.0550898
Al-Ahram	0.0550775
"Tehran Times"	0.0549795
cookbook	0.0549688
"World Report"	0.054583
"Al Hayat"	0.0545525
"Daily Telegraph"	0.0545438
Encyclopedia	0.0544982
feeler	0.0542448
guideline	0.0542319
checklist	0.0539457
"Nihon Keizai"	0.0538448
"Chicago Tribune"	0.0534939
encyclical	0.0533396
dossier	0.0532441
"Straits Times"	0.0532241
announcement	0.0528092
assessment	0.0527178
textbook	0.0525642
tabloid	0.0524778
"Dallas Morning News"	0.0524384
"Philadelphia Inquirer"	0.0523969
weekly	0.0522769
analysis	0.0521436
"Detroit News"	0.0520896
Politika	0.051793
"new edition"	0.0511353
Salam	0.0510948
Bild	0.0510714
audit	0.0509052
"Sports Illustrated"	0.0507018
decree	0.0506723
fax	0.05062
chronicle	0.050435
JAMA	0.0504216
"South China Morning Post"	0.0502661
"newspaper article"	0.0501521
instruction	0.0501355
dictionary	0.0499162
certificate	0.0498315
mailings	0.0493382
"Iran News"	0.049284
horoscope	0.0488823
"board meeting"	0.0488386
"radio broadcast"	0.0486184
affidavit	0.0486174
diary	0.0485617
notification	0.0483003
"National Geographic"	0.0481574
Al-Thawra	0.0479886
filing	0.0478534
Star-Ledger	0.0476252
correspondence	0.047245
"Denver Post"	0.0470103
flier	0.0468453
monograph	0.046806
projection	0.0467101
Eurostat	0.0466833
proclamation	0.0466631
postcard	0.0466285
"earnings report"	0.0464025
Elle	0.0462917
"wire service"	0.046245
text	0.046152
"San Francisco Chronicle"	0.0461313
"magazine article"	0.0461022
advertisement	0.0460763
briefing	0.0457768
Declaration	0.04573
literature	0.045503
email	0.0452865
"Miami Herald"	0.0452485
"newspaper column"	0.0449697
"New York Times"	0.0448651
protocol	0.0445801
coupon	0.0445156
essay	0.0445118
"Foreign Affairs"	0.0444847
"San Francisco Examiner"	0.0443496
"newspaper ad"	0.0442864
"form letter"	0.0442127
citation	0.0439433
"New York Daily News"	0.0436453
archive	0.0436038
))
("bulletin board" (desc 15546.2) (sims
newsgroup	0.108045
newsgroups	0.104792
directory	0.095028
chat	0.0888164
postings	0.0877948
database	0.0868023
Website	0.0842279
page	0.0804437
"mailing list"	0.0786951
"yellow pages"	0.0749542
"computer network"	0.0747481
"electronic mail"	0.0746845
blackboard	0.0739174
server	0.0724043
web	0.0718716
billboard	0.0718618
websites	0.0687255
homepages	0.0671615
email	0.0661458
listing	0.0646897
intranet	0.0645359
Portal	0.0633632
storefront	0.0628078
newsletter	0.0621073
calendar	0.0620726
mailbox	0.0616351
menu	0.0607393
homepage	0.0606283
classifieds	0.060606
"water cooler"	0.0598277
"World Wide Web"	0.058628
calculator	0.0584738
registry	0.0582311
catalog	0.0580917
kiosk	0.0580579
spreadsheet	0.0578136
browsing	0.0576941
intranets	0.057158
brochure	0.0571567
sentry	0.0564029
poster	0.0561561
"word processing"	0.0560209
telephony	0.0557124
"phone book"	0.0555999
pager	0.0554025
"information service"	0.05539
shopping	0.0553269
surfing	0.0551583
eBay	0.0551113
Usenet	0.0549147
clearinghouse	0.0547708
pornography	0.0544431
CD-ROM	0.0543662
"fax machine"	0.0543037
cubicle	0.0540314
pagers	0.0536375
"greeting card"	0.0534809
shelf	0.0533546
locker	0.0527589
chalkboard	0.0526502
alcove	0.0525205
"business card"	0.0523995
audio	0.0521769
archive	0.051844
library	0.0508181
"telephone number"	0.0506584
"phone number"	0.0503258
"caller ID"	0.050213
Advertising	0.0499963
flier	0.0496768
"pen pal"	0.0495861
bookmark	0.0488383
quizzes	0.0488309
DSL	0.0487813
horoscope	0.048613
cafeteria	0.04823
Posting	0.0481013
"Nasdaq Stock Market"	0.0475952
airwaves	0.0475812
"talk show"	0.0475518
Gaming	0.0473907
filtering	0.0473677
sticker	0.0473342
"telephone directory"	0.0473341
desk	0.0473338
"trading system"	0.0469001
"storage space"	0.0467718
password	0.0467423
ZDNet	0.046533
postcard	0.046456
"phone line"	0.0464489
"phone system"	0.0464353
"floppy disk"	0.0461921
toolbar	0.0460291
"hot line"	0.0459696
detector	0.0459438
"clearing house"	0.0459075
tracker	0.0455588
Encyclopedia	0.0454571
disk	0.0452023
modem	0.0451867
webcasts	0.0451241
networking	0.0450418
tag	0.0449747
ICQ	0.0449014
"information system"	0.0449001
guidebook	0.0448488
pamphlet	0.0446632
advertisement	0.044663
booking	0.0445279
sensor	0.04446
scoreboard	0.0444596
manual	0.0443659
navigation	0.0441185
monograph	0.0439361
leaflet	0.043858
diskette	0.0438321
browser	0.0438116
plaque	0.0437688
ISP	0.0437347
"order book"	0.0437126
"computer screen"	0.0437064
"Big Board"	0.0435904
commerce	0.0435516
Napster	0.0434964
Hotmail	0.0434818
"conference call"	0.0433922
boards	0.0433266
CD	0.0433158
"conference room"	0.0432784
browsers	0.0432532
diary	0.0430949
"source code"	0.0430612
tutorial	0.0429744
"video screen"	0.0429076
Entertainment	0.0428728
"reference book"	0.0428609
bookstore	0.042828
"news show"	0.042817
textbook	0.0426106
journal	0.0425855
gallery	0.0425752
programming	0.042485
Netcenter	0.0424341
databank	0.0424291
"communications network"	0.0424085
Amazon.com	0.0423483
spam	0.0423307
"television program"	0.0423277
"trading floor"	0.0423136
superstore	0.0422342
gizmo	0.0421675
marquee	0.0420936
"personal computer"	0.041971
multimedia	0.0418903
feedback	0.041836
stationery	0.0417993
folder	0.0417687
laptop	0.0417307
hotline	0.0416587
"First Section"	0.0415697
"entertainment center"	0.0415437
ISDN	0.0414546
Yahoo	0.04142
classroom	0.0414103
"weather map"	0.0414006
"bar code"	0.0413792
yearbook	0.0413755
playground	0.0413419
"cable television"	0.0413348
"software product"	0.0412335
e-commerce	0.0411967
pantry	0.0411718
"news program"	0.0411062
"piece of paper"	0.0408627
desktop	0.0408166
"computer game"	0.0407906
firewall	0.0407527
Privacy	0.040683
questionnaire	0.0406463
dashboard	0.0406251
gadget	0.0406082
"parking lot"	0.0405344
banner	0.0404091
"newspaper ad"	0.0403919
"telephone service"	0.0403734
"America Online"	0.0403248
"shopping cart"	0.0403082
cam	0.0402707
Porn	0.0401632
Priceline.com	0.0401603
bookshelf	0.0401446
info	0.0400383
))
("bulletproof vest" (desc 3072.06) (sims
"body armor"	0.16027
goggles	0.14843
"life jacket"	0.141328
vest	0.133047
"shoulder pad"	0.124126
beret	0.122122
"sawed-off shotgun"	0.117082
bandana	0.110358
"rubber boot"	0.109269
"ski mask"	0.10436
"oxygen mask"	0.10404
"life preserver"	0.103897
camouflage	0.103077
"military uniform"	0.102
"rocket launcher"	0.0963672
"face mask"	0.0963047
windbreaker	0.0961056
spacesuit	0.0950736
"dress uniform"	0.0946913
armband	0.0907547
helmet	0.0902389
blinder	0.0899956
"fishing rod"	0.0892363
plainclothes	0.0888179
cleat	0.0881953
"combat boot"	0.0874565
"life vest"	0.0870118
"leather jacket"	0.0857611
"business suit"	0.0832237
"trench coat"	0.0827508
earphone	0.082563
raincoat	0.0811687
"boxing glove"	0.0804038
"hand grenade"	0.0803661
armor	0.0801922
headgear	0.0797925
blinker	0.0787799
jumpsuit	0.077759
"seat belt"	0.0769235
"personnel carrier"	0.0766266
"blue jean"	0.0758555
sunglasses	0.0757619
"cowboy hat"	0.0756795
yarmulke	0.0755479
revolver	0.0751181
holster	0.0748575
"airplane ticket"	0.0748567
"pipe bomb"	0.0745811
walkie-talkie	0.0744348
"automatic rifle"	0.0740425
visor	0.0735191
overcoat	0.073419
silencer	0.0733226
"prayer shawl"	0.0728575
loincloth	0.07267
"machine gun"	0.0726616
parka	0.0725626
carbine	0.0725365
sandal	0.0723681
coverall	0.0720607
bandanna	0.0716055
scarf	0.0714261
"sleeping bag"	0.0710697
rifle	0.0708466
"sweat pants"	0.0703813
pistol	0.0691597
"hunting knife"	0.0680512
wristband	0.0675904
"dog tag"	0.0669422
"mink coat"	0.0667294
"bow tie"	0.0664485
headband	0.0660266
sweatshirt	0.0659214
seatbelt	0.0652784
"baseball cap"	0.0649029
nightstick	0.0639169
Grenade	0.0636035
shotgun	0.0635818
smock	0.0635563
slipper	0.0633633
bluejeans	0.0631644
"cowboy boot"	0.0630605
G-string	0.0628764
sunscreen	0.0627946
swimsuit	0.0626983
"first-aid kit"	0.0622722
"safety belt"	0.062231
brassiere	0.0620378
turban	0.061511
parachute	0.061296
"name tag"	0.0611616
skullcap	0.0604465
tux	0.0603995
handkerchief	0.0598761
suspender	0.0597541
alias	0.0594088
STETSON	0.0593973
tights	0.0592948
toupee	0.0590713
"wedding ring"	0.0588403
"baseball glove"	0.0587785
sneaker	0.0582423
"belt buckle"	0.0581748
respirator	0.0579054
"hard hat"	0.0576115
handgun	0.0570493
prosthesis	0.0570125
machine-guns	0.0562254
"sports jacket"	0.0560522
Poncho	0.0557745
halter	0.055751
veil	0.0556576
wader	0.0556431
"running shoe"	0.0555689
pajama	0.0554398
"neck brace"	0.0551629
machete	0.0550928
mitt	0.0550072
binocular	0.0549772
regalia	0.054891
attire	0.0547475
"bathing suit"	0.0546073
badge	0.0545898
tunic	0.0544763
underwear	0.0542435
Rolex	0.0541633
"polo shirt"	0.0541351
earplugs	0.0537006
skates	0.0536542
"air filter"	0.0532933
AK-@@	0.0530886
contraband	0.0530321
jeep	0.0528049
pulley	0.0526462
"straw hat"	0.0525528
stethoscope	0.0522423
"sport shirt"	0.0519831
"street clothes"	0.0519784
"patrol car"	0.0517202
bayonet	0.0516372
backpack	0.0514979
undershirt	0.0513809
wristwatch	0.0511716
"animal skin"	0.0511003
wig	0.0510751
cartridge	0.0509402
"time machine"	0.0505685
undergarment	0.0504691
"heavy weapon"	0.0504116
apron	0.0502474
"cellular telephone"	0.0499564
earpiece	0.0498694
launcher	0.0495929
decal	0.0495184
"dress shirt"	0.0491907
detonator	0.0491123
turtleneck	0.0489544
Walkman	0.0487571
slicker	0.0487387
"wedding dress"	0.0486758
ascot	0.0485903
mini-van	0.0485701
necktie	0.0484801
weaponry	0.0484259
materiel	0.048422
getup	0.0482521
choker	0.0482434
robe	0.048037
bodysuit	0.0478446
howitzer	0.0476109
Cape	0.0475584
pullover	0.047529
stocking	0.0475029
finery	0.0474245
blackface	0.0472917
Makhachkala	0.0471343
handbag	0.0470293
pantyhose	0.0468667
bib	0.0467197
bra	0.0465831
"radio set"	0.0465172
vestment	0.0464386
"guardian angel"	0.0464226
"bowler hat"	0.0463921
"cluster bomb"	0.0462461
sarong	0.0461569
"fishing license"	0.0461446
caftan	0.0459468
"car door"	0.0459365
"black tie"	0.0458258
nightgown	0.0457668
"Navy Seal"	0.0457472
"explosive device"	0.0457085
girdle	0.0455397
"Border collie"	0.0453827
mitten	0.0453355
garb	0.0452486
"communications equipment"	0.0452066
knickers	0.0451921
hairpiece	0.0451422
))
(bullfight (desc 1197.68) (sims
"prayer meeting"	0.11752
SIESTA	0.108435
"church service"	0.0849175
"car race"	0.0788138
gabfest	0.0754827
"open house"	0.0706945
"boxing match"	0.0703852
"College World Series"	0.0662018
fundraisers	0.0661826
"swim meet"	0.0649315
yeshiva	0.0639148
"garden party"	0.0636676
teach-in	0.0634234
matinee	0.0633059
"religious ceremony"	0.0622389
clunker	0.0612366
"track meet"	0.0611434
"military drill"	0.0611025
putsch	0.0606527
"house party"	0.0606149
"ball game"	0.0603911
"tea party"	0.0603452
"baseball game"	0.0598804
powwow	0.0593245
mini-camp	0.0587666
"ski race"	0.0580475
"Fortune Global Forum"	0.0575414
"cocktail party"	0.0573228
"Earth Summit"	0.0566501
"religious service"	0.0565788
Paralympics	0.0559203
firefights	0.0558311
"prayer service"	0.0554197
raffle	0.055077
"PGA Championships"	0.0545917
infirmary	0.0542831
"World AIDS Conference"	0.054
sleepovers	0.0539515
guillotine	0.0538191
"Iranian POWs"	0.0537656
"commencement ceremony"	0.0535893
"break of serve"	0.053116
"theatrical performance"	0.0530641
symposia	0.0529646
"social class"	0.0521481
"World Youth Games"	0.0521452
"World Conference"	0.0519169
"Fourth World Conference"	0.0518726
mini-summit	0.0518
"fish fry"	0.0513275
"European Court of Justice"	0.0512864
photocopier	0.0509876
"police precinct"	0.050796
AMM	0.0506265
confab	0.0505416
"International AIDS Conference"	0.0505035
"wedding reception"	0.0504145
"grade school"	0.0502368
autocrat	0.0497216
"World Food Summit"	0.0497019
"boat race"	0.0493948
"hockey game"	0.0490886
tie-break	0.0490646
"vocational school"	0.0489107
"fire drill"	0.0480873
walk-through	0.048035
"North Africans"	0.0479888
"nursery school"	0.0479192
"away game"	0.0479091
"practice session"	0.0476375
dachshund	0.047592
"horse race"	0.0475387
"art exhibition"	0.047428
"Summer Olympic Games"	0.0472655
Olympiad	0.0472654
"track event"	0.0471937
mortuary	0.0471491
"Little League World Series"	0.0471313
"dinner party"	0.0469956
"wedding ceremony"	0.046774
"crime wave"	0.0467616
"bicycle race"	0.0466451
"wedding party"	0.0466189
"International Symposium"	0.0465314
"Ministerial Conference"	0.0465243
cartwheel	0.0460263
tomcat	0.0459932
repast	0.045805
"pep rally"	0.0457055
cloudiness	0.0454813
Santoro	0.0452417
liturgy	0.0452401
telethon	0.0451841
"wrestling match"	0.044952
"musical performance"	0.0448597
"ASEAN Ministerial Meeting"	0.0448011
"rock concert"	0.0447215
Legos	0.0447003
Tupperware	0.0446998
rollovers	0.0446009
Seder	0.0445634
"application program"	0.0445609
trestle	0.0444808
"repair shop"	0.0443761
"preparatory school"	0.044069
"Methodist Hospital"	0.0440596
"season ticket"	0.0439078
"battle line"	0.0436766
hardback	0.0436688
"U.S. Opens"	0.0436412
"Parent Trap"	0.0435633
"Trade Fair"	0.0434817
"P.T Barnum"	0.0433685
tiebreak	0.0433603
"rain shower"	0.0431928
"grammar school"	0.043184
"one school"	0.0429869
"religious school"	0.0429751
"Elizabeth I"	0.0429399
Prado	0.0429208
hooter	0.0428589
"minority interest"	0.0426524
"softball game"	0.0426121
drumming	0.0424841
"about one kilometer"	0.0424179
"birthday card"	0.0424018
"starting time"	0.0421988
Casanova	0.0420999
raiser	0.0420909
"guessing game"	0.0420304
"jam session"	0.0419457
fugue	0.0419002
Artax	0.0418457
"U.N. Conference"	0.0418161
jamboree	0.0418007
weigh-in	0.0417851
"equity interest"	0.0417114
"extracurricular activity"	0.0416879
instructions	0.0416868
"missionary work"	0.041612
chitchat	0.0415986
"language school"	0.0414449
"World Cups"	0.0414193
"horse racing"	0.0414119
"voting booth"	0.0413656
"class struggle"	0.0413581
Kinko	0.0413288
shootaround	0.0412728
soiree	0.041268
"traveler's check"	0.0410278
"printing company"	0.0409714
"Plenary Session"	0.0408547
manoeuvre	0.0408403
knickknacks	0.0408138
"airplane ticket"	0.0408102
"cast of characters"	0.0407477
"European Court of Human Rights"	0.0405469
"social event"	0.0405093
"West Regional"	0.0404447
travelogue	0.040006
))
(bullfighter (desc 1153.05) (sims
"belly dancer"	0.0929682
triathlete	0.0920295
"Francisco Franco"	0.0893048
goal-scorer	0.0888899
"chess player"	0.0885935
"opera star"	0.088087
vaulter	0.0862966
"theatrical production"	0.0861139
singer-songwriters	0.0826537
vote-getters	0.0821948
shoplifter	0.0807989
miler	0.0789919
juggler	0.0788007
rebounders	0.0772943
"ballet dancer"	0.0766089
cellist	0.0761222
"enlisted man"	0.0759308
"fashion model"	0.0753715
"volleyball player"	0.0752147
balloonist	0.073346
"big leaguer"	0.0730507
prizefighter	0.0718737
"hockey player"	0.0710526
cabinetmaker	0.0707069
"jazz musician"	0.0702462
skateboarder	0.0697364
footballer	0.0690218
cager	0.068858
returners	0.0687112
"television star"	0.0686793
nightspot	0.0686557
exterminator	0.0680413
lawman	0.0677934
"tennis player"	0.0675256
desperado	0.0665143
educationist	0.0664382
hurler	0.0664322
"folk singer"	0.065599
playmakers	0.0655972
sportswriter	0.0651874
stuntman	0.0647862
"disc jockey"	0.0644834
herbalist	0.0643009
goalscorer	0.0639513
genealogist	0.0636583
matador	0.0632635
"beer drinker"	0.063256
VCs	0.0628828
violinist	0.0622996
"white elephant"	0.0621343
magician	0.0618485
speller	0.06037
"Great Divide"	0.0601668
"track star"	0.0600044
"foster mother"	0.0598953
transvestite	0.0589002
alderman	0.0588383
"Volleyball Championship"	0.0587694
D.J	0.0587639
marathoner	0.0583326
"supper club"	0.0582598
racehorse	0.0582319
sommelier	0.0578825
Cadillacs	0.0578706
QBs	0.0578001
megastar	0.0574714
businesswomen	0.0572232
courtesan	0.0568395
"house guest"	0.0567801
pharaohs	0.0566946
snowboarder	0.0566398
handicapper	0.056331
"growth industry"	0.0561373
"traveling salesman"	0.055896
stooge	0.05588
newscaster	0.0558389
"leading lady"	0.0558045
naturalist	0.0556061
aviator	0.0554628
"foreign service officer"	0.0554102
"interior decorator"	0.0552859
divorcee	0.0552545
taster	0.0552528
ballerina	0.0550012
"call girl"	0.0549365
"three schools"	0.0547637
"gathering place"	0.0546234
sleuth	0.0542917
"pole vaulter"	0.0541366
hurdler	0.0540997
"ball field"	0.0540226
"disk jockey"	0.0539207
nonentity	0.0537803
infantryman	0.0537639
daredevil	0.053713
"security consultant"	0.0537067
"hockey coach"	0.0535816
Ferraris	0.0534685
talkie	0.0532724
"Croatia Zagreb"	0.0532621
puppeteer	0.0532246
"five spot"	0.0530499
illustrator	0.052791
team.	0.0523431
scoutmaster	0.0522879
enlistee	0.0519575
salesperson	0.0519354
serviceman	0.0518026
canoeist	0.051741
highflier	0.0516998
clarinetist	0.051686
caddie	0.0515856
fencer	0.051282
"three pitchers"	0.0511651
"margin call"	0.0510715
"stock trader"	0.0509733
valet	0.0509412
rushers	0.0509329
spymaster	0.0508757
"guessing game"	0.050811
"first pitcher"	0.0506907
"minor-league team"	0.0506688
"major leaguer"	0.0503959
restaurateur	0.0503324
"two pitchers"	0.0502972
"musical group"	0.0501218
beekeeper	0.0501083
"dead person"	0.0499066
"shot putter"	0.0498549
"double agent"	0.0497805
ornithologist	0.0497665
"police lieutenant"	0.0497275
recluse	0.0495439
"top dog"	0.0495393
"No. @s"	0.0493802
"hockey team"	0.0493634
"piece of music"	0.0493307
"basketball league"	0.0493204
Judas	0.0493091
"numbers game"	0.0491614
newswoman	0.0490439
landscaper	0.0489546
grandmaster	0.0488097
cinematographer	0.0487844
"divorce lawyer"	0.0487497
"blood donor"	0.0487468
moneymaker	0.0487003
metropolises	0.0486672
"Vincent Foster"	0.0485534
faceoffs	0.0483889
shuttler	0.0482865
astrologer	0.0481929
psychoanalyst	0.0480105
"golf game"	0.0480029
quarter-finalist	0.0479809
"Special Economic Zones"	0.0479741
Stealers	0.047926
sportscaster	0.047926
handicappers	0.0477283
"ball club"	0.0477045
lexicographer	0.0476992
wideouts	0.047553
bullfighting	0.0475163
"cause celebre"	0.0475105
shipbuilder	0.047504
legionnaire	0.0472509
electrician	0.047235
first-grader	0.0471721
portraitist	0.047142
"management consultant"	0.0469924
masseur	0.046859
dramatist	0.0467986
"Sarah Ferguson"	0.0467654
blacksmith	0.0466889
gunslinger	0.0465674
"Carmen Electra"	0.0465135
"pass catcher"	0.0464884
"stock company"	0.0464673
"labor leader"	0.0463975
"second person"	0.0463479
lifeguard	0.0463355
"pen pal"	0.0463272
"pirate ship"	0.0462823
sleeper	0.0462578
tacklers	0.0462482
"power tool"	0.0461369
"Bordeaux wine"	0.0459644
sire	0.0458906
"fashion designer"	0.0458682
"Spinal Tap"	0.0458096
humorist	0.0457311
musketeer	0.0457036
skiiers	0.0456135
"watering hole"	0.0455782
forefather	0.0455037
politico	0.0454779
bowler	0.0454311
Steakhouse	0.0453242
"newspaper publisher"	0.0453196
transsexual	0.0452465
))
(bullfighting (desc 2174.5) (sims
"mountain climbing"	0.0845643
cockfighting	0.0811567
"horse racing"	0.0744303
netball	0.0737719
takraw	0.0735997
judo	0.0669098
"fox hunting"	0.0653672
sumo	0.0644958
wrestling	0.0637981
bodybuilding	0.0606117
"ice skating"	0.0600304
Gymnastics	0.0585831
karate	0.0577926
polygamy	0.0574293
"Volleyball Championship"	0.0572489
Rugby	0.0572269
"corporal punishment"	0.056912
"ice hockey"	0.0564803
Impressionism	0.0561337
"professional golf"	0.0538947
cycling	0.0537339
rodeo	0.0535067
Sleepwalking	0.0533609
"track and field"	0.0532998
"pop music"	0.0528659
"professional football"	0.0525082
"figure skating"	0.052401
"Ministry of Tourism"	0.0522777
fencing	0.0517785
"book bag"	0.0514678
rowing	0.0514613
"water polo"	0.0512155
volleyball	0.0504944
shui	0.0504802
clowning	0.0498862
taekwondo	0.0498064
"Fed Cup"	0.0493153
"fine art"	0.0487594
weightlifting	0.0487495
"dog show"	0.0485463
fly-fishing	0.0485184
"field hockey"	0.0482655
hiking	0.0481931
"dance music"	0.0477791
Wushu	0.0477381
bullfighter	0.0475163
ranching	0.0474157
Yachting	0.0471924
"country music"	0.0467047
lacrosse	0.0463287
"Peking Opera"	0.0460666
Sandinistas	0.0460287
"Pan Ams"	0.0459844
Nugent	0.0456324
felling	0.0453172
"Expo @@@@"	0.0452918
boating	0.0448793
Pinky	0.0447616
motoring	0.044468
"Blue Dog"	0.0440893
circumcision	0.0440742
rinderpest	0.0438079
"popular music"	0.0437196
navel	0.0434976
chess	0.0434714
archery	0.0431025
Fabius	0.0429091
"martial art"	0.0428195
triathlon	0.0424483
menswear	0.0423761
"professional basketball"	0.0421814
"high fashion"	0.0418957
importing	0.0416679
"chamber music"	0.041446
"racial segregation"	0.0412881
badminton	0.0409694
hairdressing	0.0402829
))
(bullfrog (desc 979.538) (sims
possum	0.102559
Catfish	0.0862406
"freshwater fish"	0.0810389
ogre	0.0786448
tarpon	0.0770769
snail	0.0698399
scorpion	0.0627177
rattlesnake	0.0606476
hyena	0.0584521
airball	0.0567764
carp	0.0562752
toad	0.0562004
lizard	0.0535348
pigeon	0.0532459
tarantula	0.0519344
monolith	0.0518523
iguana	0.0512403
tribesman	0.0511573
tilapia	0.050952
"moving van"	0.0504957
overlord	0.0504781
serviceman	0.0501653
"mountain gorilla"	0.0498887
spreader	0.0498465
peregrine	0.0496419
"landing strip"	0.0487331
focaccia	0.0486941
frogs	0.0480866
"fire ant"	0.047404
"transport ship"	0.0473264
"child molester"	0.047165
expansionism	0.0470729
otter	0.0468195
Beehive	0.0467837
chaise	0.0464254
sundial	0.0463774
"flying saucer"	0.0462074
woodpecker	0.0461342
corporates	0.0460747
python	0.0457543
octopus	0.0455909
potentate	0.0455549
"psychological warfare"	0.0453918
experimenter	0.0451481
eel	0.0450824
colonizer	0.0450663
"black bear"	0.0448704
tortoise	0.0444551
"grizzly bear"	0.0441787
chessboard	0.0441263
"apparel industry"	0.043915
raindrop	0.0437596
"Jesse James"	0.0437428
pike	0.043075
Dumpsters	0.0428384
goalpost	0.0428209
"dollar sign"	0.0427658
walleye	0.0426052
cows	0.0425159
asp	0.0418617
"roulette wheel"	0.0415299
egghead	0.0415097
hamster	0.0414345
"Mary Slaney"	0.0411731
transnationals	0.0410744
"brown trout"	0.0409883
"beef cattle"	0.0409653
desperado	0.0407481
crapshoot	0.0405751
"interior decorator"	0.0401961
))
(bullhorn (desc 3178.96) (sims
megaphone	0.153875
microphone	0.0861156
loudspeaker	0.0820364
walkie-talkie	0.0782719
binocular	0.0620065
"automatic rifle"	0.0598073
"black flag"	0.0593714
"car horn"	0.0586826
"bed sheet"	0.0571773
Uzi	0.055652
"first-aid kit"	0.0529494
Minuet	0.0528167
beepers	0.0525419
AK-@@	0.051344
cellphones	0.0504166
backhoe	0.0492049
"electrical device"	0.0491702
placard	0.048664
"water cannon"	0.0483642
cellphone	0.0482585
"paper cup"	0.0479603
nightstick	0.0479556
"Border collie"	0.0464847
"tape player"	0.0462901
chainsaw	0.0462094
"submachine gun"	0.0460325
"heavy weapon"	0.0457045
CFCs	0.0453998
"machine gun"	0.0452177
"tape recorder"	0.0448047
"grocery bag"	0.0432195
"hunting knife"	0.0431285
clipboard	0.0425987
"landing craft"	0.0422015
potty	0.0419093
"cellular telephone"	0.0418699
"ballpoint pen"	0.041534
camcorders	0.0410935
"evening bag"	0.040482
"sleeping bag"	0.0403959
))
(bullion (desc 5734.22) (sims
aluminium	0.166913
"precious metal"	0.138606
marks/@@@kg	0.123537
Copper	0.106421
Tin	0.101279
sharemarket	0.100864
Nikkei	0.100674
"Straits Times Industrials Index"	0.0961018
"National Australia Bank"	0.0954684
sub-index	0.0913188
"Straits Times Index"	0.0907832
"Treasury bond"	0.087955
"Nikkei Stock Average"	0.0879432
"Shanghai Composite Index"	0.0866921
"Kuwait Stock Exchange"	0.0866811
"blue-chip stock"	0.086556
"Xetra Dax"	0.0857749
"Hang Seng Index"	0.0841963
"FTSE @@@"	0.0812756
"B share"	0.0811522
"consumer goods"	0.080844
palladium	0.07992
"junk bond"	0.0787798
"Bordeaux wine"	0.0775821
BHP	0.0774184
"futures price"	0.0768674
"CAC @@"	0.0755807
"Composite Index"	0.0749903
ingot	0.074829
diamond	0.0741356
scrip	0.0731147
"Bovespa Index"	0.0724219
"Dow Jones Industrial Average"	0.0722874
brass	0.0722843
"Australian dollar"	0.0721762
"high street"	0.072129
physicals	0.0712225
"Philippine peso"	0.0710869
"Commonwealth Bank of Australia"	0.0708304
"Treasury note"	0.0695614
DAX	0.0692047
"Commonwealth Bank"	0.0691445
rupiah	0.0684016
ANZ	0.0677318
Bovespa	0.0674824
"Hang Seng China Enterprises Index"	0.0674161
"iron ore"	0.0672126
"heating oil"	0.0667578
"Industrial Index"	0.0656158
ivory	0.0655276
IPC	0.0638682
Stocks	0.0638275
"soybean oil"	0.0637379
"penny stock"	0.063451
"blue chip"	0.063296
Westpac	0.0630269
"precious stone"	0.0623156
industrials	0.0622582
"ordinary shares"	0.0619406
"foreign exchange"	0.0618056
"futures contract"	0.0615651
CAC-@@	0.0615309
after-hours	0.0614697
"Kuala Lumpur Stock Exchange"	0.0613999
wool	0.0613406
"Treasury bill"	0.0610908
"municipal bond"	0.0606418
sucre	0.0602153
WMC	0.0601073
FOREX	0.0595049
"Kenyan shilling"	0.0593357
"preferred stock"	0.0592757
Frankfurt	0.0591199
"Karachi Stock Exchange"	0.0589709
crude	0.0581808
"preferred shares"	0.0580769
platinum	0.05801
antique	0.0575493
yearling	0.0574044
"crude oil"	0.0571969
timber	0.0569684
"passenger car"	0.0568769
derivative	0.0568644
Telstra	0.0566493
Sensex	0.0563994
jewellery	0.0563058
jewelry	0.0560706
"palm oil"	0.0559671
zloty	0.0559391
rand	0.0557018
"Summer Olympic Games"	0.0556665
lumber	0.0552991
CAC	0.0550977
"convertible bond"	0.0550479
Bourse	0.0546774
"Dhaka Stock Exchange"	0.0542407
DSE	0.0540443
tungsten	0.0538379
"machine tool"	0.0532138
"Wireless Optus"	0.0531631
STI	0.0530979
"price index"	0.0527904
antiquity	0.052665
gem	0.0525503
"Sensitive Index"	0.0522876
"Hang Seng China-Affiliated Corporations Index"	0.0522797
HSI	0.0522367
B-shares	0.0521034
"British pound"	0.052101
timepiece	0.0520711
"bond market"	0.0520466
"News Corp"	0.0518856
"Weighted Price Index"	0.0515986
newsprint	0.051545
"US dollar"	0.0510407
"New Zealand dollar"	0.0509572
"South Korean won"	0.0507567
"pork belly"	0.0504451
cobalt	0.0503488
"Canadian dollar"	0.050335
CPO	0.0503302
Nasdaq	0.050182
"fuel oil"	0.0500935
FT-SE	0.0500345
debenture	0.0500157
"Emas Index"	0.0499768
gemstone	0.0498941
FTSE	0.0497959
soybean	0.049775
"season ticket"	0.0496947
"wheat flour"	0.0494853
"Hang Seng"	0.0494803
"Philippine Stock Exchange Index"	0.0494684
BSE-@@@	0.0494236
"memory chip"	0.0493568
mineral	0.0492269
non-oil	0.0491441
LPG	0.0489657
manganese	0.0488707
"building material"	0.0487419
petroleum	0.0487183
"Mexican peso"	0.048588
REIT	0.0485812
"Amman Financial Market"	0.0485178
"futures market"	0.0483802
"Tokyo Stock Price Index"	0.0481688
"Rio Tinto"	0.0478934
receipt	0.0476509
"citric acid"	0.0475365
"spare part"	0.0473005
Dow	0.0471927
"fish meal"	0.0470833
aluminum	0.046994
T-bill	0.0467943
decimal	0.0466003
bauxite	0.0465771
rupee	0.0464805
"three schools"	0.0464473
AZ	0.0462885
statuette	0.0462245
"computer equipment"	0.0461782
filigree	0.0461212
uranium	0.0460956
medallion	0.045827
"stock option"	0.0456921
"debt security"	0.0456353
"exchange market"	0.0456117
emerald	0.0455695
interbank	0.0452188
"ransom money"	0.0451923
"natural gas"	0.0451322
"diesel oil"	0.0450822
"initial offering"	0.0450585
memorabilia	0.0450033
"money market"	0.0449626
"Stock Exchange of Thailand"	0.0448298
XYLAN	0.0448069
"black market"	0.0446659
dram	0.0446491
"common stock"	0.0445987
petrol	0.0444644
"bond price"	0.044413
"Second Board Index"	0.0443744
"Fletcher Energy"	0.0436949
ruble	0.0434585
"loaf of bread"	0.0432754
Paralympics	0.0430451
"International AIDS Conference"	0.0430116
"almost $@@@ million"	0.0429498
"bank rate"	0.0429325
STOXX	0.0428565
metical	0.0427308
"foreign exchange market"	0.0426259
chalice	0.0424022
"coffee bean"	0.0423699
"hot stock"	0.0423265
"bank note"	0.0422848
narcotic	0.0421944
collectibles	0.0421764
"retail sale"	0.0420122
))
(bullishness (desc 777.879) (sims
uptrend	0.1421
skittishness	0.121689
buoyancy	0.110167
sluggishness	0.106777
downtrend	0.105717
pessimism	0.104275
"Bull Run"	0.100337
"price pressure"	0.0976924
hang-up	0.0932377
acrimony	0.087018
tiredness	0.0822104
nervousness	0.0808777
outperformance	0.0807125
disenchantment	0.0784941
restlessness	0.0783111
weariness	0.0776528
"foul play"	0.076539
fieldwork	0.0752777
jitters	0.0748097
Canty	0.0745929
deceleration	0.0737557
"wear and tear"	0.0736309
disquiet	0.0734889
ebullience	0.0734306
softness	0.0727169
belligerence	0.0717718
inhibition	0.0715278
adulteration	0.0713854
upturn	0.0712639
hesitancy	0.0710265
uneasiness	0.070551
"Gallup Poll"	0.0699745
"point system"	0.0695027
"difference of opinion"	0.0693429
"final judgment"	0.0692727
wariness	0.068929
liveliness	0.0686954
predilection	0.0676672
backsliding	0.067094
slackening	0.0664687
disunity	0.0661519
malignancy	0.0659997
"tax income"	0.0656798
"human activity"	0.0654407
"corporal punishment"	0.0654267
scepticism	0.0652122
unease	0.0637389
downslide	0.0628473
belt-tightening	0.0627057
indecision	0.0624746
polarization	0.0624027
"guessing game"	0.0624003
eagerness	0.0622279
misgiving	0.0619844
stonewalling	0.0618504
agitation	0.0617581
callousness	0.0616225
erasure	0.0614838
disaffection	0.0614455
unpopularity	0.0612281
fragility	0.0609325
"market condition"	0.0604964
dryness	0.0603532
"preconceived notion"	0.0600216
illegality	0.0599381
uptick	0.0599179
"elephant population"	0.0595671
felling	0.0594249
divergence	0.0591419
habitation	0.058184
overvaluation	0.0581162
oeuvre	0.0580292
gyration	0.0579839
"general agreement"	0.0577548
ruckus	0.0575419
assertiveness	0.057439
unanimity	0.0573235
poaching	0.0571862
slippage	0.0571281
self-absorption	0.0568276
edginess	0.0567954
"ultraviolet light"	0.0562017
"raw data"	0.0560788
overheating	0.056038
variability	0.0560152
"inferiority complex"	0.0556306
dissension	0.0556269
lawlessness	0.0554318
trashing	0.0553951
NTR	0.0553199
gentrification	0.0552171
inaccuracy	0.0550706
corrosion	0.0549602
malaise	0.0548073
militancy	0.0547327
jubilation	0.0547035
dishonesty	0.0547008
falloff	0.0546393
strangulation	0.0545911
write-down	0.0544388
timidity	0.0544218
clear-cutting	0.0542287
misjudgments	0.0542247
unhappiness	0.0541178
"crown jewels"	0.0540469
thinness	0.0539974
"moral hazard"	0.0539824
maneuvering	0.0539695
reticence	0.0538638
"rate of growth"	0.0534856
rancor	0.0534124
flamboyance	0.0534047
qualm	0.053106
doldrums	0.0528765
dropoff	0.0526555
"takeover speculation"	0.0526413
"crime wave"	0.0525428
"price competition"	0.0525062
malfeasance	0.0525057
"flag waving"	0.0524291
malevolence	0.0522007
laxity	0.0521248
stagnation	0.0521209
"budget debate"	0.0520899
fallibility	0.0520219
certitude	0.0518336
rowdiness	0.0517801
inactivity	0.0516263
finger-pointing	0.0513286
benevolence	0.0510889
"scientific knowledge"	0.0510548
"confidential information"	0.0509458
"ill health"	0.0508504
hubbub	0.0508129
marginalization	0.0508071
melting	0.0505599
premonition	0.0505498
indebtedness	0.0505487
tightness	0.0505116
"debt market"	0.0504568
misstatement	0.0503019
stalling	0.0502455
disillusionment	0.0499264
bloodletting	0.0498848
worldview	0.049723
Estimations	0.0497218
subsidence	0.0494871
p/e	0.0494268
materialism	0.0493899
lesbianism	0.0493747
"earnings growth"	0.0493289
notions	0.049261
Kazhegeldin	0.0491088
overproduction	0.0490928
caseload	0.049054
"FALL @@%"	0.0489722
bluster	0.0489278
redundancy	0.0488447
maneuverings	0.0487286
fragmentation	0.0487193
rumblings	0.0487187
rigidity	0.0486724
"Woods Hole"	0.0485866
dieting	0.0485783
non-cooperation	0.048528
"school of thought"	0.0484357
Presense	0.0484011
leasing	0.0483971
absenteeism	0.0483639
"hue and cry"	0.0483507
feeler	0.0483029
underdevelopment	0.0482507
"coca crop"	0.0482277
asymmetry	0.048065
potency	0.0478435
colloquy	0.0478321
isolationism	0.0476358
brouhaha	0.0475766
"feminist movement"	0.0475337
dynamism	0.0473879
"news article"	0.047323
infatuation	0.0472863
adventurism	0.0472587
exasperation	0.0471902
soul-searching	0.0470735
overconfidence	0.0468527
collegiality	0.0467521
lamentation	0.0467509
"poverty rate"	0.0467184
"ill will"	0.0466949
homocysteine	0.0466357
ramblings	0.0466148
aftereffect	0.0466077
toxicity	0.0464427
"pecking order"	0.0463856
noncompliance	0.0463504
hypotheses	0.0462774
hopefulness	0.0462523
ferment	0.0462336
"Dorothy Chandler Pavilion"	0.0461223
))
(bullock (desc 9271.05) (sims
"Bob Bullock"	0.13453
Coverdell	0.109868
Blackmun	0.0885746
Arbour	0.0881406
O'Connor	0.0880491
Lautenberg	0.0840428
Ackerman	0.0831148
Weiner	0.0825234
Rendell	0.0822453
Ivester	0.0815624
Shapiro	0.0811663
Nyerere	0.0794224
Meissner	0.0793385
Baird	0.0786296
Hartman	0.0784745
McCall	0.0779065
Constantine	0.0771435
Stahl	0.0764563
ROMNEY	0.0764417
Taft	0.0759364
Marineau	0.0758511
Phills	0.075623
Goldstein	0.0755697
McGowan	0.07512
Greenwald	0.0750302
Powell	0.0749133
"Zell Miller"	0.0748199
Ferguson	0.0747057
Hess	0.0746977
Boyle	0.0743126
Jarvis	0.0739628
Tobin	0.0739456
Cheney	0.0734719
Kerrey	0.073467
Siegelman	0.0731238
Weizman	0.0728131
Harding	0.0725936
krueger	0.072564
Papandreou	0.0724492
DOLE	0.0722902
Molinari	0.0716691
Clooney	0.0716438
Gephardt	0.0715148
Mandela	0.071505
Coelho	0.0710496
Rabin	0.0710054
Sharma	0.0706654
Pfeiffer	0.0704295
Hewitt	0.0701761
Sheedy	0.0701176
Gifford	0.0699187
McLaughlin	0.0698754
Hodges	0.0697739
Chamberlain	0.0696756
Fitzgerald	0.0695006
Webdale	0.0694962
Tilberis	0.0694223
Wilson	0.0693894
Willes	0.0692788
Merritt	0.0683964
MacKay	0.0682019
Paltrow	0.0678444
Hanna	0.0678139
Lieberman	0.0677407
Daley	0.0676109
Henley	0.067475
"Sandra Bullock"	0.0674265
Schulz	0.0672844
Kerry	0.0672185
Edwards	0.0671713
Rudenstine	0.0669159
Whaley	0.066753
McCartney	0.0667506
Byrdsong	0.0667285
Fordice	0.0666432
"Lawton Chiles"	0.0664275
Betts	0.0662773
Midler	0.0662136
"Dan Morales"	0.065974
Drexler	0.0659147
Moynihan	0.0658522
Tudjman	0.065734
Hart	0.065667
Sullivan	0.0655856
"Bridget Fonda"	0.0654467
McDaniel	0.0653687
Boyd	0.0653346
Patton	0.0651591
Evans	0.0651466
Kirby	0.0651416
Richards	0.0651207
Reagan	0.0651044
Torricelli	0.0650974
Mauro	0.0648746
Troussier	0.064866
Olson	0.0648069
Cline	0.0646714
Tuttle	0.0646642
Skiles	0.0645532
Miller	0.0645298
Gorbachev	0.0645016
Durwood	0.0644762
Copeland	0.0643465
Carnahan	0.0643093
Barad	0.0642664
Manuel	0.0642244
Alexander	0.0641686
"Rick Perry"	0.0640275
Cohen	0.0640063
Havel	0.0639988
Finkel	0.0639071
Hayden	0.0638415
Ogata	0.0637329
Moscoso	0.0637006
Hiett	0.0635858
Markovic	0.0635086
Pataki	0.0634319
Macdonald	0.0634218
Kennedy	0.0633987
Graham	0.0633138
Stepashin	0.0633023
Rosenthal	0.063242
Doherty	0.0631998
Willis	0.0631595
Kearin	0.063051
Goldwater	0.0629868
Kasyanov	0.0629113
Gillick	0.0628809
Ruggiero	0.062818
Hoffman	0.0626874
Abacha	0.0625703
Kaye	0.0625312
Kohl	0.062523
Yates	0.0623643
Carter	0.0622823
Whitman	0.0622368
Henning	0.0622031
Gilmore	0.0621065
Dudayev	0.0620891
Keating	0.0619626
Verney	0.0619508
"Daniel Patrick Moynihan"	0.0619485
Ashrawi	0.061661
Barnett	0.0615631
Cisneros	0.0615625
Jauron	0.0615512
Scruggs	0.0615107
Atwood	0.0614749
Cuomo	0.0614246
Berenson	0.0612122
Mullen	0.0612038
Deneuve	0.061189
Moore	0.0611601
Mandelson	0.0611343
Neulander	0.0611337
Egan	0.0610804
Zadornov	0.0610616
Donahue	0.0610177
Ashcroft	0.0610165
Moakley	0.0608897
Harrick	0.060848
Richardson	0.060828
Wolfson	0.0607888
Chenoweth	0.0607463
Quayle	0.0607333
Hastert	0.0604227
Pirro	0.0603101
Slatkin	0.0602834
Hussein	0.0601035
Milutinovic	0.0599644
Welch	0.0599217
Kirkpatrick	0.0599096
perry	0.059874
Byrd	0.0598708
McCurry	0.0598357
Foyt	0.0598241
Fraga	0.0597846
Leyland	0.0597307
Starovoitova	0.0597229
Friedman	0.059673
Walsh	0.0596383
Schaeuble	0.0596294
Barrett	0.0595972
Jackson	0.0595599
Foley	0.0595561
Costner	0.0594764
Craig	0.0594679
Murayama	0.0594256
Woodard	0.0593595
Chafee	0.059346
Rove	0.059178
Madden	0.0591346
Ryan	0.0590808
Tucci	0.0590609
Flores	0.0590402
Masur	0.0589892
Mehta	0.0589817
Reese	0.0589809
Obuchi	0.0589806
Olsen	0.0589563
))
(bullpen (desc 57896.2) (sims
dugout	0.180965
rotation	0.178178
outfield	0.147112
bleachers	0.141826
pitching	0.141217
clubhouse	0.134113
lineup	0.123533
reliever	0.111419
"right field"	0.108227
"left field"	0.106393
pitcher	0.104188
secondary	0.103122
"upper deck"	0.102971
hitter	0.0999352
"starting pitcher"	0.0973463
"center field"	0.0961243
bench	0.0960062
infield	0.0900955
"batting order"	0.0895833
inning	0.0895771
righthander	0.0889242
roster	0.0881863
"minor league"	0.0880992
starter	0.0875261
offense	0.0865817
Defense	0.08553
"pitching coach"	0.0839978
catcher	0.0838267
shortstop	0.0830372
"locker room"	0.0814474
"first baseman"	0.0811927
"second baseman"	0.0807234
"running game"	0.0805758
Mound	0.0778311
"center fielder"	0.077651
lefthander	0.0765578
"penalty box"	0.0718287
"dressing room"	0.0709996
"right fielder"	0.0708298
"third baseman"	0.070471
Yankee	0.0693658
batter	0.0690817
Ballpark	0.0689777
"left fielder"	0.0688053
fence	0.0677377
"Mariano Rivera"	0.0673483
Mets	0.066861
dodger	0.066848
backfield	0.066825
"spring training"	0.0667525
"second base"	0.0666495
slugger	0.0660697
"first base"	0.0657814
scoreboard	0.0655855
outfielder	0.0654438
ninth	0.0647716
field	0.0647351
seat	0.0646161
sixth	0.0643922
"Armando Benitez"	0.0642609
staff	0.064211
triple	0.0642074
"Jeff Shaw"	0.0641209
corner	0.0635706
ace	0.0635275
"Trevor Hoffman"	0.0634885
bat	0.0630303
brave	0.0628893
postseason	0.0625711
"Pedro Martinez"	0.0624237
"Derek Lowe"	0.0623778
ASTROS	0.0620664
seventh	0.0620018
eighth	0.0619433
Maddux	0.0619209
"designated hitter"	0.0617774
at-bat	0.0617235
baserunners	0.0614773
right-center	0.0612994
"third base"	0.0611799
"batting cage"	0.0611475
"Red Sox"	0.0603711
midfield	0.0595659
net	0.0593412
"general manager"	0.059108
"relief pitcher"	0.0590407
"home run"	0.058829
"Andy Ashby"	0.0588098
Pettitte	0.0587934
backcourt	0.0585391
"American League"	0.0581604
mariner	0.0579549
"Greg Maddux"	0.0577286
camp	0.0576745
"batter's box"	0.0575315
pen	0.0573478
Clemens	0.057172
uniform	0.0569637
"passing game"	0.0569007
"Randy Johnson"	0.0567716
pitch	0.0564382
"double play"	0.0563384
"batting average"	0.0557767
"winning streak"	0.0557259
stadium	0.0554244
Leiter	0.0554088
"Al Leiter"	0.0551207
"farm team"	0.0550615
infielder	0.0547186
playoff	0.054635
Millwood	0.054634
ranger	0.0546022
DH	0.0545353
Padre	0.0543255
Irabu	0.0539667
bunker	0.0538379
"National League"	0.0536339
"Jeff Fassero"	0.0536222
"devil ray"	0.0535508
Martinez	0.0534713
victory	0.053462
Hernandez	0.0533349
"Tom Glavine"	0.0530135
"major league"	0.0527977
baseball	0.0527507
Seattle	0.0525642
Sox	0.0525386
fan	0.0524701
Grandstand	0.0524675
"Andy Pettitte"	0.052333
"Billy Wagner"	0.0522785
batting	0.0521738
"David Cone"	0.0517614
manager	0.0517465
room	0.0517038
comeback	0.0515144
Houston	0.0514278
ballclub	0.0514063
Giants	0.0512779
fifth	0.0512476
"big league"	0.0512365
"Kenny Rogers"	0.0512293
left-center	0.0511434
"World Series"	0.0509806
wall	0.0509579
Cleveland	0.0509118
minor	0.0508769
"Kevin Millwood"	0.0508237
"Chan Ho Park"	0.0508058
"John Rocker"	0.0507325
"John Smoltz"	0.0506027
"St. Louis"	0.050556
huddle	0.0505077
courtroom	0.0505005
"Tim Wakefield"	0.0504982
strikeout	0.0504653
Lakers	0.0504413
Phillies	0.0502804
"power play"	0.0500762
quarterback	0.0499571
hitting	0.0499416
"Kevin Brown"	0.0498635
no-hitter	0.0498404
classroom	0.0497782
"Chipper Jones"	0.0496708
Knicks	0.0496133
A's	0.0494556
sideline	0.0493794
middle	0.0493307
Boston	0.049216
"John Wetteland"	0.0492125
booth	0.0491595
"Roger Clemens"	0.0491551
"press box"	0.0491499
shutout	0.0491412
squad	0.0490433
pavilion	0.0489834
opener	0.0489489
depth	0.0489475
Sonics	0.0489285
outing	0.0488577
receiver	0.0487853
teammate	0.0487393
third	0.0487319
fourth	0.0487044
"losing streak"	0.0486611
frontcourt	0.0486098
fielding	0.0484763
changeup	0.0484637
homer	0.0484255
park	0.048387
cub	0.0483797
economy	0.0483653
league	0.0483563
garage	0.0483217
"banking system"	0.0482695
"Atlanta Braves"	0.0481948
goalie	0.04819
Hampton	0.0481611
"Game @"	0.0480459
))
(Bullwinkle (desc 1981.67) (sims
"Dudley Do-Right"	0.146399
"Galaxy Quest"	0.10815
"Waking Ned Devine"	0.100221
live-action	0.0933521
"Bugs Bunny"	0.0924834
kiddie	0.0893736
Spider-Man	0.0829876
"Iron Giant"	0.0809087
Rambo	0.0765267
"Stuart Little"	0.0764337
Porno	0.0756663
Terminator	0.0719117
"Inspector Gadget"	0.0716824
"Titan A.E."	0.0706666
"Love Lucy"	0.0693958
"Raging Bull"	0.06704
"Runaway Bride"	0.0666426
Natasha	0.0666193
kiddy	0.0640892
"Mickey mouse"	0.063045
Flintstone	0.0619601
Cosby	0.059974
Dilbert	0.0577998
"Andy Griffith"	0.0570858
Batman	0.0565901
"El Dorado"	0.0555099
"holy man"	0.0553851
Antz	0.05404
slasher	0.0537464
"T Wireless"	0.0530529
"Sex Pistols"	0.0508824
Roadrunner	0.0507822
"Mighty Joe Young"	0.0507258
Popeye	0.0504122
"Mickey Blue Eyes"	0.0499906
Mussolini	0.0495499
"Roy Rogers"	0.0491584
avenger	0.0490479
"road runner"	0.0485783
marionette	0.0483446
primetime	0.048035
"Steve McQueen"	0.0474284
freebie	0.0473507
"South Park"	0.0471913
"Kung Fu"	0.0467337
"Indiana Jones"	0.0467116
Uri	0.0464532
Fleischer	0.0463981
"Monty Python"	0.0463282
Porn	0.0463264
Superman	0.0462982
Shields	0.0458606
"Brady Bunch"	0.0455265
Gladiator	0.0452886
"eight to @@"	0.0438977
"Wireless HKT"	0.0436527
DMA	0.0435736
Nickelodeon	0.0432983
made-for-TV	0.0431797
martial-arts	0.0423171
"Don Zimmer"	0.0420892
Moma	0.0413866
Waterboy	0.0413465
Tootsie	0.0412999
NBC-TV	0.0410463
Lizzie	0.0410261
Zonolite	0.0410007
"Jerry Springer"	0.0409621
IMAX	0.0401516
superhero	0.0401136
))
(bully (desc 15901.3) (sims
thug	0.113895
liar	0.1013
racist	0.0926296
bigot	0.090792
opportunist	0.0869528
thief	0.0869197
monopolist	0.082356
"bad guy"	0.0807795
whiner	0.0805689
hypocrite	0.0803102
idiot	0.0802832
jerk	0.0751423
outcast	0.0745888
lunatic	0.0721412
coward	0.0719141
criminal	0.071195
villain	0.0707736
Killer	0.0706684
oppressor	0.0704346
gangster	0.0698197
nerd	0.0696153
buffoon	0.0690141
tyrant	0.0689363
predator	0.0677123
psychopath	0.066718
despot	0.0666594
traitor	0.0663122
terrorist	0.0658909
fool	0.0654967
murderer	0.0651616
crook	0.0647902
fascist	0.0647592
Cop	0.0646997
aggressor	0.0642205
robber	0.0640738
capitalist	0.0640596
schemer	0.0638965
phony	0.0633994
manipulator	0.0627217
monster	0.062467
scoundrel	0.0620877
enemy	0.0620251
"drug dealer"	0.0609432
whore	0.0606725
superpower	0.0605537
troublemaker	0.0598491
felon	0.0588285
delinquent	0.0587345
jock	0.0587109
interloper	0.0585267
loner	0.0582006
burglar	0.0576867
zealot	0.057684
goon	0.0573676
mugger	0.0570057
overachiever	0.0564334
boss	0.0562959
hooligan	0.0562665
womanizer	0.0561552
Rapist	0.0557309
kidnapper	0.0557087
freak	0.0556791
clown	0.055142
outsider	0.0551049
stalker	0.0550183
heretic	0.0547
wimp	0.0545998
hero	0.0542951
brawler	0.0540606
evil	0.053631
lout	0.0536289
"con man"	0.0529527
lowlife	0.0526462
"tough guy"	0.0524778
geek	0.052354
drunk	0.0522658
bandit	0.0521843
scum	0.0521167
brat	0.0520953
"serial killer"	0.0518422
pragmatist	0.051692
hoodlum	0.0516796
maniac	0.0516205
dictator	0.0515662
brute	0.051535
bloke	0.0514007
demon	0.0511506
ideologue	0.050969
looter	0.050881
snob	0.0506127
skinhead	0.0505724
misfit	0.0504276
Vixen	0.0495268
has-been	0.0495141
liberal	0.0495023
abuser	0.0494777
"prima donna"	0.0493755
elitist	0.0492611
"traffic cop"	0.0490515
"con artist"	0.0489884
renegade	0.0488911
bum	0.0485909
policeman	0.0484347
"little leaguer"	0.04838
"risk taker"	0.0481364
gang	0.0481042
rascal	0.0480677
incompetent	0.0475376
mercenary	0.0474331
savior	0.0472014
racketeer	0.0471273
anti-Semite	0.0470094
"black person"	0.0469541
dude	0.046914
"guardian angel"	0.0466644
pawn	0.0466115
visionary	0.0465666
cheerleader	0.0462862
genius	0.04628
"hockey player"	0.04628
eccentric	0.0462557
extremist	0.0462544
enforcer	0.0462521
adulterer	0.0460961
protector	0.0460912
reformer	0.0460585
"good guy"	0.0459973
assassin	0.0459835
teen-ager	0.0459722
peacemaker	0.0457842
hustler	0.0457351
nonsense	0.0456374
punk	0.0454614
curmudgeon	0.0453856
Nazi	0.0451008
slacker	0.0449728
crusader	0.0449172
mob	0.0447594
bastard	0.0446654
bureaucrat	0.0446149
assailant	0.044596
hothead	0.0445263
"hit man"	0.0444858
addict	0.0444351
statesman	0.0443798
madman	0.0443523
rioter	0.0443236
pickpocket	0.0443029
speculator	0.0442597
TORTURER	0.0440398
"old man"	0.0440359
fella	0.0438707
witch	0.0437692
swindler	0.0436688
arsonist	0.0435193
reactionary	0.0434757
panhandler	0.0432434
"white man"	0.0431882
fanatic	0.0431803
"double standard"	0.0431715
"police officer"	0.043136
"young man"	0.0430416
pariah	0.0428584
housewife	0.0427542
mogul	0.0426751
cheater	0.0426588
offender	0.0425069
defender	0.0424929
chameleon	0.0424107
smuggler	0.0423455
prank	0.0422323
classmate	0.0422303
teenager	0.0422151
malcontent	0.0422018
carpetbagger	0.0421422
hacker	0.0420913
underachiever	0.042053
dilettante	0.0419207
whistle-blower	0.0417715
slob	0.0417589
ogre	0.0417146
drinker	0.0416833
chum	0.0416285
instigator	0.0415594
attacker	0.0415278
"ball club"	0.0414177
stranger	0.0414106
lawbreaker	0.0412758
Goliath	0.041272
poacher	0.041027
grown-up	0.0410185
gadfly	0.0409747
revolutionary	0.0409531
shooter	0.0409391
perpetrator	0.0408714
trafficker	0.0407141
underdog	0.040658
"trial lawyer"	0.0406496
ghost	0.040604
executioner	0.0405689
))
(Bulog (desc 1069.59) (sims
INEC	0.134383
Wada	0.127075
Starwood	0.126007
GSS	0.116066
Pairgain	0.113914
NiSource	0.111782
"Thermo Electron"	0.108867
Toysmart	0.098252
"Defense Agency"	0.0973987
Tandy	0.0972783
Asda	0.0962876
GPU	0.0946323
"RJR Nabisco"	0.0934058
Totalfina	0.0928902
MPAA	0.0925458
SGI	0.0913171
UNAMET	0.0913166
"Atomic Energy Commission"	0.0909879
Pitney	0.0898546
UTC	0.0888027
VENATOR	0.0874564
"Malaysia Airlines"	0.0872543
"Pacific Century"	0.0871575
Emulex	0.0845158
TYCO	0.0826874
Mossad	0.082616
CBK	0.082357
CMGI	0.0818354
Chris-Craft	0.0811283
USEC	0.0808543
RJR	0.0804385
"Truth Commission"	0.0802136
Healtheon/WebMD	0.0802093
Daimler	0.0801967
PCC	0.0801404
"Senate Budget Committee"	0.0798874
"Shin Bet"	0.0795756
UAM	0.0794266
Fingerhut	0.0793833
Danka	0.0792825
GANNETT	0.0791165
Echostar	0.0787183
ADM	0.0786442
IBRA	0.0785257
"Dayton Hudson"	0.0785157
Georgia-Pacific	0.0783513
Norwest	0.0783196
NU	0.0782312
KONI	0.0780688
BOJ	0.0779516
"national bank"	0.0779243
"House Budget Committee"	0.0768681
NORTHROP	0.0765062
CCE	0.0761923
Priceline	0.076153
"Con Ed"	0.076136
HBOC	0.0759352
PETROBRAS	0.0756452
PB	0.0756398
Iomega	0.0754291
MACROMEDIA	0.0752578
MiniMed	0.0751829
Gazprom	0.0750022
OCA	0.0749157
FSA	0.074746
"Central Election Commission"	0.0746059
ExciteAtHome	0.0743028
AutoNation	0.074018
NSC	0.073808
JMC	0.0735324
McKesson	0.0735178
NRC	0.0733062
PLDT	0.0721295
CBO	0.0716521
Cendant	0.0713841
AIG	0.0712119
Allstate	0.0709615
"House International Relations Committee"	0.0707346
KPU	0.0704667
DLC	0.0703296
Transamerica	0.0702678
"Russian Space Agency"	0.0700329
Pugh	0.0700237
"Chinese NPC"	0.0695151
Seagram	0.0693325
Cabletron	0.0691284
"Times Co."	0.0689628
CNA	0.0688134
Sakigake	0.0687453
Ameritech	0.068703
"Labor office"	0.0683329
BofA	0.068295
Vivendi	0.0682158
ECA	0.0680752
Terra	0.0679834
Lockheed	0.0679127
"U.S. Agriculture Department"	0.067843
CSE	0.0677727
"Football Association"	0.0677474
E-LOAN	0.0675307
Seagate	0.0673602
"Universal Pictures"	0.0672079
ING	0.0671877
WFP	0.0671136
MI@	0.0670638
AlliedSignal	0.066935
CMAG	0.0666272
"Korean Air"	0.0662817
SAirGroup	0.0662305
"Senate Appropriations Committee"	0.0659976
EBRD	0.0659312
BOI	0.0659267
Sumaye	0.0659267
UNTAET	0.0658161
"Hongkong Telecom"	0.0656503
Adelphia	0.0654431
Gymboree	0.0653577
Barclays	0.0649548
Maag	0.0648121
"Banking Committee"	0.0644364
Globalstar	0.064228
ENTREMED	0.0641325
BOC	0.0639549
Agilent	0.0639231
Genzyme	0.0637023
BankAmerica	0.0636294
"J&AMP;J"	0.063605
Webvan	0.0635213
"Northeast Utilities"	0.0634439
"News Corp."	0.0634145
Halliburton	0.0634092
UPI	0.0632702
Alcatel	0.063105
Iroquois	0.0630405
"Salt Lake Organizing Committee"	0.062976
THA	0.062919
Paxson	0.0628889
KPA	0.0628526
Scientific-Atlanta	0.0626001
Dresdner	0.0625535
PEOPLESOFT	0.0624681
ITF	0.0619581
IEC	0.0617648
"USA Networks"	0.0615907
PBSI	0.0613113
VEBA	0.0612979
"Hong Kong Telecom"	0.0610569
TAZARA	0.0610006
Viacom	0.0608741
SMI	0.0607445
SDP	0.0607271
"Senate Banking Committee"	0.0604727
ACB	0.0604632
RealNetworks	0.0604327
"Niagara Mohawk"	0.0602883
Penney	0.0602512
"Berkshire Hathaway"	0.0602153
Eximbank	0.0601816
Medtronic	0.0601395
"IG Metall"	0.0601073
Alltel	0.0600177
Manley	0.0599812
Telkom	0.0598265
"Coca-Cola Co."	0.0596341
"Sdn Bhd"	0.0593905
"Southern Co."	0.0593061
Petrofina	0.0592159
ABRI	0.0591757
HKMA	0.059141
"U.S. Trust"	0.0591103
RAMBUS	0.0588648
SAFY	0.0587735
Histadrut	0.0586256
BCE	0.0585993
PictureTel	0.0584386
PSINet	0.0582836
TCI	0.058127
Fuji	0.0581085
"National Defense Commission"	0.0579326
Citron	0.0578394
Pertamina	0.0578035
"Food Lion"	0.0577673
"Global Crossing"	0.0577161
"Rite Aid"	0.0573973
"drug company"	0.0573631
UAL	0.0572172
Chevron	0.057189
ECB	0.057132
Vitesse	0.0571226
"House Banking Committee"	0.0570597
Honeywell	0.0570274
PLN	0.0569349
Hancock	0.0568139
Pd	0.0568053
"Electoral Commission"	0.0566847
Cablevision	0.0566789
NCI	0.0566417
Biogen	0.0566123
Quaker	0.0566036
"U.S. Fed"	0.0565322
))
(bulwark (desc 7638.55) (sims
guarantor	0.0901984
cornerstone	0.0836906
bastion	0.0812606
bedrock	0.0785898
"line of defense"	0.0776257
buffer	0.0743226
redoubt	0.0733412
kingmaker	0.065831
counterbalance	0.0647401
pillar	0.0642435
bellwether	0.0630786
backbone	0.0619854
"driving force"	0.059795
savior	0.0572502
hedge	0.0558429
barometer	0.0557861
"building block"	0.0554504
firewall	0.0553501
"stumbling block"	0.0547805
cog	0.0542438
"safety valve"	0.0533432
"test case"	0.0524939
protector	0.0523255
mainstay	0.051233
linchpin	0.0503461
fortress	0.0494149
Guardian	0.0485515
softening	0.0470229
"rallying point"	0.0468941
underpinning	0.046635
guidepost	0.0465463
impediment	0.0462419
repository	0.0458369
"flash point"	0.0457503
"turning point"	0.0451553
steppingstone	0.0444942
prerequisite	0.0439171
"measuring stick"	0.0436561
adjunct	0.0436494
"prime mover"	0.0435127
standard-bearer	0.043476
embodiment	0.0434214
watershed	0.0433061
granary	0.0432595
yardstick	0.0426642
affirmation	0.0426537
"house of cards"	0.0423929
"white elephant"	0.0420609
toppling	0.0420121
countermeasure	0.0417696
"fire wall"	0.0416684
"nerve center"	0.0413009
deterrent	0.0411859
"standard bearer"	0.0411143
predictor	0.0410268
hotbed	0.0409343
"stepping stone"	0.0406912
"takeover target"	0.0405595
breadwinner	0.0402731
battleground	0.0402617
"leading indicator"	0.0401718
beacon	0.0400569
hallmark	0.0400274
))
(Bulworth (desc 4621) (sims
EdTV	0.130717
"Primary Colors"	0.107459
"American Beauty"	0.103914
Pleasantville	0.0968755
Mulan	0.0964003
"Saving Private Ryan"	0.0931026
ROUNDERS	0.0899336
Dolittle	0.08905
"American Pie"	0.0890186
"Being John Malkovich"	0.0880924
"Horse Whisperer"	0.086589
"Deep Impact"	0.0844338
"Pulp Fiction"	0.0824462
Rushmore	0.0790957
"Good Will Hunting"	0.0786425
Bowfinger	0.0785526
"Erin Brockovich"	0.0766115
Antz	0.0755293
"Smoke Signals"	0.0754707
"Animal House"	0.0734133
"Eyes Wide Shut"	0.0732854
Armageddon	0.0718543
Tootsie	0.0704979
"Double Jeopardy"	0.0698742
"Stuart Little"	0.0686174
"Toy Story"	0.0683059
Jawbreaker	0.0670949
"Cruel Intentions"	0.0669722
"high fidelity"	0.0667391
"Jerry Maguire"	0.0656659
Godzilla	0.0648664
"Lynn Redgrave"	0.0646412
"Robert Duvall"	0.0646096
"Fight Club"	0.0635749
Magnolia	0.0632709
"Blair Witch"	0.0630303
Amistad	0.062378
"Truman Show"	0.0617585
"Central Station"	0.0615682
"Runaway Bride"	0.0610807
"Boogie Nights"	0.0604406
"Lethal Weapon @"	0.0603293
stepmom	0.0601925
"chicken run"	0.0596976
"Patch Adams"	0.0595934
"Waking Ned Devine"	0.0589808
"Titan A.E."	0.0589445
LIMEY	0.05865
"Galaxy Quest"	0.0584791
U-@@@	0.0578261
Ronin	0.0578138
psycho	0.057715
"Opium War"	0.0569784
"Wild Wild West"	0.0566955
"Rugrats Movie"	0.0563664
"best man"	0.056278
"Little Voice"	0.0562435
noir	0.0561839
E.T	0.0558144
dogma	0.0556124
"Austin Powers"	0.0550163
"Natural Born Killers"	0.0549082
"Get Real"	0.0545508
Waterboy	0.0540768
"Nurse Betty"	0.0536368
"Blair Witch Project"	0.0527654
dick	0.0523715
affliction	0.0523384
Amadeus	0.051809
"Life Is Beautiful"	0.0513956
"Indiana Jones"	0.0506436
"Thin Red Line"	0.0505236
satire	0.0503717
"High Art"	0.0503634
Elizabeth	0.0496827
Hoosier	0.0491786
"pitch black"	0.0490383
"Simple Plan"	0.04853
"Civil Action"	0.0484966
Pecker	0.0484519
"Citizen Kane"	0.0483722
Paulie	0.0479701
"Edmund Morris"	0.0479661
"Forrest Gump"	0.0474489
"Cradle Will Rock"	0.0470729
"James Bond"	0.0467667
Footloose	0.0466792
Stigmata	0.0461595
"South Park"	0.0460425
"Top Gun"	0.0458405
Tarzan	0.045543
Goodfellas	0.0451969
"True Thing"	0.0451256
impostor	0.045003
"Mickey Blue Eyes"	0.0449202
FARGO	0.0448156
Gladiator	0.0443703
"Robert Altman"	0.0441794
"Thomas Crown Affair"	0.0438645
"black and white"	0.0437455
"Dirty Dancing"	0.043659
swinger	0.0435416
"Sleepy Hollow"	0.0433833
eccentricity	0.0431353
"DEEP BLUE SEA"	0.0426754
Futurama	0.0425008
"Big Daddy"	0.0422652
Batman	0.0419485
"Cider House"	0.0418626
"Meet Joe Black"	0.0418141
"Jurassic Park"	0.0414454
payback	0.041331
Matrix	0.0410537
"Mighty Joe Young"	0.0409999
Fantasia	0.0409186
Trainspotting	0.0408338
"Stellan Skarsgard"	0.0405896
Merlin	0.0403579
personae	0.0403166
Zorro	0.0401836
"Iron Giant"	0.0401686
"snake eyes"	0.0401055
JFK	0.0400871
maneuvering	0.0400565
))
(bum (desc 8184.81) (sims
lout	0.0763416
idiot	0.0691272
dude	0.0680745
bloke	0.067249
overachiever	0.0670728
fella	0.0657924
"hockey player"	0.0654882
wimp	0.0642626
knucklehead	0.064208
lunatic	0.0632736
hippy	0.0632199
"big leaguer"	0.0618224
scum	0.0609547
jerk	0.0604317
brat	0.0588804
"good person"	0.0578217
punk	0.0576109
beggar	0.0555222
bumpkin	0.0554016
"drug dealer"	0.0553441
crook	0.0548597
expletive	0.0546932
"little leaguer"	0.0546222
rube	0.0545734
bunny	0.0541047
double-teamed	0.0540811
outta	0.0540416
gung-ho	0.0538532
"good guy"	0.0538118
whore	0.0536458
"punching bag"	0.0536222
"white person"	0.0533491
"risk taker"	0.0532508
bigot	0.0528431
curmudgeon	0.0522856
nigger	0.0521303
"black person"	0.0514439
crazies	0.0512607
brawler	0.0511365
thug	0.0508593
moron	0.0507636
lad	0.0505644
"bad guy"	0.0503293
Hick	0.0503018
"prima donna"	0.0502079
drunk	0.0500527
bastard	0.0500178
"guitar player"	0.049981
hypocrite	0.0499013
maniac	0.0497548
"free spirit"	0.0496591
nerd	0.0495547
junkie	0.0491703
grown-up	0.0484568
bohemian	0.0478506
snob	0.047632
newspaperman	0.0475672
poodle	0.0475221
racer	0.0475051
whiner	0.0474022
"football player"	0.0472832
"traveling salesman"	0.0471582
grinder	0.0469534
pooch	0.0468391
addict	0.046552
swashbuckler	0.046531
freak	0.046428
pimp	0.0463041
geek	0.0461771
rascal	0.0460669
derelict	0.0459129
"ball club"	0.045832
denizen	0.0457672
thief	0.0456861
gambler	0.0456757
mugger	0.0456115
transvestite	0.0453675
"young person"	0.0452876
voyeur	0.0449566
redneck	0.0447813
"volleyball player"	0.044742
coward	0.0444788
weirdo	0.0444241
zealot	0.0443539
"con man"	0.0443099
liar	0.0440792
"baseball player"	0.0439154
twit	0.0438506
"drug addict"	0.0437712
ballplayer	0.0437002
gook	0.04368
buttock	0.043497
sucker	0.0434857
pro-choice	0.0433875
heretic	0.0433167
boob	0.0432847
antsy	0.0431146
"white man"	0.0430484
bitch	0.0430037
jock	0.0429124
Irishman	0.0428941
swinger	0.0428827
"heroin addict"	0.0427916
Judas	0.0426777
"black man"	0.0426722
"hard worker"	0.0426696
slob	0.0426039
hyper	0.0424176
camper	0.0422747
has-been	0.0422189
ass	0.0420502
"folk singer"	0.0420434
impostor	0.0420242
goon	0.041852
begging	0.041809
headhunter	0.0417692
bodybuilder	0.041537
Grinch	0.0411819
"character actor"	0.0411665
immortal	0.0410956
"sitting duck"	0.0410437
hunk	0.0409651
brute	0.0409288
alcoholic	0.0407551
lifer	0.0406704
dummy	0.0406414
"important person"	0.0404126
prostitute	0.0403369
"radio announcer"	0.0403335
"little boy"	0.0403149
buffoon	0.0403104
vet	0.040225
passerby	0.0402174
"little sister"	0.0401888
choirboy	0.0401425
wordsmith	0.0400632
Superman	0.0400297
))
(Bumblebee (desc 1323.49) (sims
honeybee	0.102908
termite	0.0788674
bluefin	0.0772115
zeppelin	0.0700977
cockroach	0.0700417
bee	0.066545
Z@	0.0663229
Garuda	0.0656124
"silver dollar"	0.0645603
"white meat"	0.0638697
WASP	0.0638608
X-@@	0.0620856
"jelly bean"	0.058673
JAT	0.0582664
dragonfly	0.0579304
bunny	0.0575439
"Delta @"	0.0570754
osprey	0.0559266
Concordes	0.0557071
"fruit fly"	0.0550192
earthworm	0.0544429
Learjet	0.0540924
AN-@@	0.0540203
"evening bag"	0.0536048
moth	0.0514277
"grim reaper"	0.0509813
"boxing glove"	0.0506688
battler	0.050596
"ping-pong ball"	0.05057
Lipstadt	0.0504044
"hot-air balloon"	0.0501717
cherub	0.0490909
ladybug	0.0488923
Frisbee	0.0487539
Thunderbird	0.0484135
"fire ant"	0.0477292
"shower stall"	0.0466325
caftan	0.0464796
ninja	0.0462267
submersible	0.0460635
mite	0.04601
reindeer	0.0453991
"South African Airways"	0.0453291
"Trans World Airlines"	0.0452252
"Lincoln Town Car"	0.0450381
hummingbird	0.0447904
"tennis ball"	0.0446674
"less than five"	0.0443621
kangaroo	0.0443082
"golf ball"	0.0438328
docker	0.0436103
"Southern Democrats"	0.0427141
feline	0.0426802
picketers	0.0426395
"Air Lanka"	0.0425439
TT	0.042462
Onyx	0.0423135
B-@s	0.0420351
"telephone booth"	0.0419574
"Volkswagen Beetle"	0.0419452
SNPs	0.0418365
Karmapa	0.0417881
"Charles Schwab Corp."	0.0416261
"Thai Airways International"	0.0413724
"Vodafone Airtouch PLC"	0.0413522
poodle	0.0412829
crawler	0.0408177
Mockingbird	0.0406978
seagull	0.0406707
"Indian Airlines"	0.0406024
"Vietnam Airlines"	0.0401522
teardrop	0.0400641
"polar bear"	0.0400226
))
(bump (desc 23067) (sims
bruise	0.122833
hiccup	0.106778
scrape	0.0984893
abrasion	0.0965366
scar	0.0902089
bounce	0.0901806
lump	0.088605
pothole	0.0811581
uptick	0.0807377
laceration	0.0790705
Gash	0.0788491
blip	0.0785547
scratch	0.076979
glitch	0.0761377
jolt	0.0733275
bite	0.073175
welt	0.0729398
letdown	0.0716382
snag	0.071325
pimple	0.070829
wrinkle	0.070788
crack	0.0697962
falloff	0.0697159
dent	0.0690683
dip	0.0684743
"black eye"	0.0680843
"wear and tear"	0.0677572
twist	0.0673326
slippage	0.0672778
wound	0.0666125
sore	0.0660135
setback	0.0658545
sprain	0.0655406
fluctuation	0.0650297
detour	0.0646725
dropoff	0.0646282
obstacle	0.0635798
shock	0.0634798
slap	0.0629162
imperfection	0.0622126
"close call"	0.0621896
swelling	0.0620944
bang	0.0613224
misstep	0.0608187
spike	0.0606728
fracture	0.060389
hitch	0.0596383
trauma	0.0595551
"market correction"	0.059238
inconvenience	0.0589903
pain	0.0589356
scare	0.058916
commotion	0.0588347
hump	0.0585204
wart	0.0583862
discrepancy	0.058144
blemish	0.0580967
injury	0.0580711
aftershock	0.058039
milestone	0.0578043
ache	0.057729
distraction	0.0577176
curve	0.0573623
downturn	0.0569894
blister	0.0565398
discomfort	0.0563782
pitfall	0.0563257
Correction	0.056266
gaffe	0.0561858
"margin call"	0.056136
headache	0.0560953
disruption	0.0559716
"speed bump"	0.0558836
surge	0.0554552
misunderstanding	0.0553778
mistake	0.0550592
mishap	0.0550567
drop-off	0.0550018
difficulty	0.0549165
disappointment	0.0548674
soreness	0.0547918
contusion	0.0547253
"bad luck"	0.0543373
lull	0.0543126
inkling	0.053699
thrill	0.0533303
rash	0.053184
noise	0.0530304
shakeout	0.0526444
knot	0.0525237
aberration	0.0524624
"breathing room"	0.0524257
downturns	0.0523506
"traffic jam"	0.0521682
"loose end"	0.0521269
drawback	0.0520645
kink	0.0520281
slump	0.051985
adversity	0.0519322
punch	0.0519294
stitch	0.0519053
twinge	0.0519047
inconsistency	0.0516292
catastrophe	0.0514932
"dead end"	0.0513595
band-aid	0.0512604
embarrassment	0.0510686
improvement	0.0509524
"inferiority complex"	0.0505881
patch	0.0505479
ups	0.0505073
Ripple	0.0504772
things	0.0504051
concussion	0.0501682
adjustment	0.049709
volatility	0.0496042
flaw	0.0494845
negative	0.0493442
hurdle	0.0493357
variation	0.0492727
slipup	0.0491272
anomaly	0.0490803
distortion	0.0490329
lapse	0.0489137
bandage	0.0487011
mole	0.0486842
shortfall	0.0485875
"side effect"	0.048577
annoyance	0.0485704
snafu	0.0483287
miscalculation	0.0482893
turbulence	0.04827
pause	0.0482549
tremor	0.0482444
reduction	0.0481894
roadblock	0.0481311
exaggeration	0.0480806
upturn	0.0480439
congestion	0.0480224
hike	0.048009
stride	0.0479442
bug	0.0478992
"difference of opinion"	0.0478785
nuance	0.0478046
hardship	0.047799
miscue	0.0476599
smudge	0.0475484
flare-up	0.0474587
blunder	0.0473993
slowdown	0.0473177
complication	0.0473095
nerve	0.0472092
lesion	0.0467124
"back pain"	0.0466909
indignity	0.0466256
misconception	0.0465984
jitters	0.0465651
coincidence	0.0465166
turnaround	0.046508
cold	0.0463112
hassle	0.0462474
similarity	0.046208
disaster	0.0461522
hesitation	0.0460674
cutback	0.0459054
sting	0.0459003
"rate hike"	0.0458188
stigma	0.0458165
indication	0.0457268
"pay cut"	0.0457221
hint	0.0456342
spurt	0.0455538
crunch	0.0454731
gap	0.0454481
rumble	0.0453571
smirk	0.0453528
gripe	0.0453436
rust	0.0453403
buzz	0.0453204
contraction	0.0451915
interruption	0.0451548
glimmer	0.0451079
Rut	0.0450873
relapse	0.045069
reversal	0.0449359
dustup	0.0448193
bone	0.0447689
erosion	0.0447196
meltdowns	0.0446024
symptom	0.0445907
foul	0.0444509
blowout	0.0444398
downside	0.0443387
dot	0.0442109
"rate increase"	0.0441214
tragedy	0.0440985
muscle	0.0440712
overlap	0.0440418
savings	0.0439577
"turning point"	0.0438629
))
(bumper (desc 17146.6) (sims
fender	0.128073
windshield	0.106197
windscreen	0.0994014
headlight	0.0967366
wheel	0.0945779
"steering wheel"	0.0876645
Hood	0.0861834
tire	0.0838541
"license plate"	0.0825005
tailgate	0.0816923
fascia	0.0782119
brake	0.076861
airbags	0.0759297
grille	0.0748606
"front end"	0.0727396
axle	0.0723726
chassis	0.0719135
"air bag"	0.0680358
dashboard	0.0677808
headlamp	0.0674864
aerodynamics	0.0663786
"seat belt"	0.0660955
Tyre	0.066018
"suspension system"	0.0651149
rear	0.0648322
undercarriage	0.0624848
"pickup truck"	0.0620513
occupant	0.0607421
"catalytic converter"	0.0605529
trunk	0.0605183
headrest	0.0588054
"cruise control"	0.0586985
"gas tank"	0.0570861
wheels	0.056135
"rear end"	0.0554441
handlebar	0.0549467
engine	0.0541423
motor	0.0519813
roof	0.0519464
taillight	0.0518322
"landing gear"	0.0518188
"rear window"	0.0513377
spoiler	0.0504707
"rearview mirror"	0.0500486
jamb	0.0490117
compartment	0.048898
webbing	0.048542
sticker	0.0482026
pickup	0.0459433
"stereo system"	0.0457338
deck	0.0452304
antenna	0.0449205
tank	0.0444341
fence	0.0443822
steering	0.043945
tractor	0.0435695
floorboard	0.0435313
exterior	0.043507
railing	0.0432716
stereo	0.0423075
cab	0.0420848
pole	0.0415774
interior	0.0415421
washer	0.0412227
radiator	0.0407137
conditioner	0.0405205
tail	0.0404697
pipe	0.040175
bulkhead	0.0401672
))
(bumpkin (desc 1790.67) (sims
twit	0.106602
Hick	0.0960874
hillbilly	0.0921831
whiner	0.0799812
lout	0.0773607
malcontent	0.0739284
squire	0.0724091
rube	0.0713015
overachiever	0.0711005
bloke	0.0700488
boogie	0.0681279
dilettante	0.063803
lemming	0.06271
"little leaguer"	0.0624867
crybaby	0.0618756
slob	0.0585599
"tree stump"	0.0580365
sucker	0.0574895
idiot	0.0564669
bastard	0.055773
nonentity	0.0556494
FOP	0.0556359
fella	0.0555942
bum	0.0554016
madman	0.0548389
wimp	0.0544046
"Merle Haggard"	0.0536249
punk	0.0533472
"blind man"	0.0526396
hand-me-down	0.052158
whore	0.0520692
Lullaby	0.0511268
scoundrel	0.05083
"picture postcard"	0.0506163
brat	0.0506072
crazies	0.050381
snob	0.0502909
"LeAnn Rimes"	0.0500016
leech	0.0497236
"Tammy Wynette"	0.0494111
hippy	0.0492631
"risk taker"	0.048951
slacker	0.0481709
bruiser	0.0477236
moron	0.0476269
lad	0.0471388
curmudgeon	0.0470789
"Clint Black"	0.0468082
"Lee Hamilton"	0.0467725
"little hand"	0.0463801
"wise guy"	0.046363
crap	0.0463184
Rambo	0.0461931
supplicant	0.046181
"battering ram"	0.046017
"Jo Dee Messina"	0.0458291
crackpot	0.0457559
"prima donna"	0.0457542
"good guy"	0.0448674
"heavy hitter"	0.0447556
bigot	0.0444387
baloney	0.0443113
southpaw	0.0436683
spitting	0.0434094
dirge	0.0433792
mini-van	0.0431393
loon	0.0430877
hyper	0.0430842
maniac	0.042973
"steam locomotive"	0.0425764
crowd-pleaser	0.042547
"guardian angel"	0.0424462
"big leaguer"	0.0423434
Kashmiri	0.0422601
Pol	0.0421075
"tough guy"	0.0420503
"cabin cruiser"	0.0419052
do-gooder	0.0417844
"farm boy"	0.041699
"old boy"	0.0416977
innkeeper	0.0414661
"vegetable soup"	0.0414255
pugilist	0.0412649
Szabo	0.041241
"good person"	0.0411949
misfit	0.0411678
hokum	0.0410943
"public speaking"	0.0410542
expletive	0.0409934
grinder	0.0408995
dribbler	0.0406911
dude	0.040659
newspaperman	0.0406348
"hundred miles"	0.0405746
Everyman	0.0405536
"Johnny Cash"	0.0404493
Cajun	0.0404183
"Robin Hood"	0.0402791
idyll	0.04024
"Hail Mary"	0.0401595
lass	0.040067
))
(bun (desc 9499.54) (sims
dumpling	0.119914
bread	0.115607
buns	0.105161
brioche	0.0972032
tortilla	0.0949346
biscotti	0.0905583
sandwich	0.0893096
bagel	0.0869181
biscuit	0.0851101
cake	0.0846474
pastry	0.0838081
muffin	0.0821946
croissant	0.0815682
porridge	0.0814347
pasta	0.0812501
salad	0.0795835
"pound cake"	0.0781319
scone	0.0777528
"potato salad"	0.0759618
"french fries"	0.0752404
sauerkraut	0.0739361
"hot dog"	0.0737329
"white bread"	0.0735466
burger	0.0733614
noodle	0.0732623
pie	0.0716134
plantain	0.0707022
loaf	0.0706099
"green salad"	0.070567
cooky	0.070347
Tamale	0.0702753
pancake	0.070243
sausage	0.0695303
"chicken wing"	0.0694829
cupcake	0.0686337
cheeseburger	0.068391
"apple pie"	0.0676911
cookie	0.0676846
burgers	0.0676021
"French bread"	0.0666908
meatball	0.06662
baguette	0.0666116
"Caesar salad"	0.0664445
bulgur	0.0663902
taco	0.0663345
ham	0.066113
"white rice"	0.0652236
ponytail	0.064529
brownie	0.0642403
Hamburger	0.0642306
pickle	0.0637877
"cream puff"	0.0637555
FRY	0.0627843
marshmallow	0.0627144
chicken	0.0623894
"chicken sandwich"	0.0622379
potato	0.06189
TART	0.061457
soup	0.0606678
pizza	0.060258
doughnut	0.0599813
croutons	0.0599624
"chocolate chip cookie"	0.0597903
clam	0.0592146
"sesame seed"	0.0590847
"chocolate cake"	0.0587873
steak	0.0584023
matzoh	0.0581776
bean	0.0581194
crust	0.0580599
meat	0.0578326
fruitcake	0.0574741
crepe	0.0569282
"ground beef"	0.0568068
"pie crust"	0.0567794
flan	0.0566767
"pine nut"	0.0564878
custard	0.0563222
patty	0.0562886
"scrambled egg"	0.0560656
dessert	0.0560313
Pudding	0.0557866
cheese	0.0556594
"ice cream"	0.0556165
braid	0.0554329
cracker	0.0552976
spinach	0.0552157
cheesecake	0.0552135
sauce	0.0550755
toast	0.0547586
tomato	0.0545488
vegetable	0.054528
onion	0.0544476
peanut	0.0540095
pea	0.0536413
popcorn	0.0531805
wrapper	0.052773
cereal	0.0527641
"green bean"	0.0524534
shrimp	0.0522016
dough	0.051847
egg	0.0513575
ravioli	0.0509086
lettuce	0.0508121
lobster	0.0505613
rib	0.0504608
mussel	0.0502358
Casserole	0.0499968
"cold cuts"	0.0499307
veggie	0.0498722
eggplant	0.0498605
spaghetti	0.0498554
"pinto bean"	0.0498015
sushi	0.0495972
Broccoli	0.0495353
yogurt	0.049501
"chicken breast"	0.0494592
Souffle	0.0493596
cornbread	0.049341
polenta	0.0493159
"vegetable soup"	0.0493081
"pie shell"	0.0492369
brisket	0.0491689
"iced tea"	0.0490672
corn	0.0487335
artichoke	0.0484181
Chili	0.0481369
coconut	0.048097
"loaf of bread"	0.0480183
"goat cheese"	0.047865
mushroom	0.0476403
meatloaf	0.0475925
brie	0.0475413
"peanut butter"	0.0475078
lentil	0.0473471
"vanilla bean"	0.0472531
cabbage	0.0472277
"collard greens"	0.0471455
pumpkin	0.0469756
wedge	0.0468174
"macadamia nut"	0.0467744
quiche	0.0466211
shortcake	0.046616
dressing	0.0463123
salami	0.0462159
pineapple	0.0461553
paste	0.0461536
pilaf	0.0460011
cutlet	0.0459743
"whipped cream"	0.045613
"dinner plate"	0.0455602
appetizer	0.0454425
crumb	0.045304
"baked goods"	0.0452886
"soda pop"	0.0452608
tea	0.0452363
platter	0.0451198
ketchup	0.0450177
fajitas	0.0443282
bratwurst	0.044197
filling	0.0440821
soda	0.0440649
crostini	0.0440121
mutton	0.0436474
pretzel	0.0435846
"layer cake"	0.0435131
waffle	0.043509
nacho	0.0434476
asparagus	0.0433405
bacon	0.0432865
"sweet potato"	0.0431039
"meat loaf"	0.043068
florets	0.0427442
cube	0.0427322
barbecue	0.0427266
"spring roll"	0.0426351
condiment	0.0425001
pork	0.042322
meringue	0.0422485
turnip	0.0421301
"fruit salad"	0.0420805
scallop	0.0420712
crab	0.0420079
flour	0.0419885
"tortilla chip"	0.0419269
salmon	0.0418883
candy	0.0415214
tofu	0.0411956
ramekins	0.0411948
hazelnut	0.0410147
mayonnaise	0.0407652
broth	0.0406311
focaccia	0.0405574
tray	0.0404918
prawn	0.0401735
kernel	0.0401546
COBBLER	0.0401397
))
(bunch (desc 67078.4) (sims
lot	0.0984074
handful	0.0949012
couple	0.0851373
kind	0.0837198
pair	0.0803759
sprig	0.079761
band	0.0762128
group	0.0746865
sort	0.0729191
dozen	0.0716408
slew	0.0711413
assortment	0.0705239
guy	0.070431
trio	0.0681186
some	0.0669624
breed	0.0665872
type	0.0659318
roomful	0.0658958
thousand	0.0652025
collection	0.0642669
hundred	0.064026
plenty	0.0639676
kid	0.0635183
horde	0.0624902
number	0.0605289
gang	0.0603477
pile	0.0595064
mix	0.0594485
pack	0.0589022
generation	0.0578123
"whole lot"	0.0576613
family	0.0570801
any	0.0569625
fan	0.0568729
variety	0.056378
crowd	0.0559579
"a few"	0.0559277
stuff	0.0556374
folk	0.0554906
gaggle	0.0554371
cast	0.0554272
bit	0.0550046
array	0.0548946
"young man"	0.0542441
piece	0.0532489
legion	0.0531492
tale	0.0529539
many	0.0524564
bundle	0.0524459
image	0.0518863
plethora	0.0516069
cluster	0.0508443
picture	0.0507933
something	0.050791
"young woman"	0.0507107
none	0.0506671
character	0.0503146
girl	0.0501835
multitude	0.0497952
someone	0.049576
somebody	0.0494006
"large number"	0.0492417
Three	0.0491187
creature	0.0490828
bevy	0.048999
bag	0.0487462
batch	0.0482548
stack	0.0482003
ones	0.0481959
soul	0.0481694
flock	0.0478794
audience	0.0478791
friend	0.047597
person	0.0473151
story	0.0472923
squad	0.0472216
string	0.0471882
crop	0.0468799
portrait	0.0468323
roster	0.0467642
version	0.0466876
combination	0.0465326
ton	0.0465108
throng	0.0457834
several	0.0457312
copy	0.0456642
fellow	0.0455513
idea	0.0453497
stereotype	0.0452065
boy	0.0451597
fun	0.0450515
million	0.0445029
fool	0.044358
assemblage	0.0442021
presence	0.0440045
mom	0.0438457
dog	0.0435502
mind	0.043396
parent	0.0433309
four	0.0432107
series	0.0429969
club	0.0429866
owner	0.0426317
Cop	0.0426291
mob	0.0425715
crew	0.0425189
personality	0.042423
box	0.0423105
abundance	0.0422539
everybody	0.0421013
mess	0.0419916
attitude	0.0419441
class	0.0418534
father	0.0418456
parade	0.0417597
son	0.041648
individual	0.0414005
dream	0.0413904
photograph	0.0413706
clique	0.0412406
stream	0.0412167
"old man"	0.0411777
chunk	0.0411276
brother	0.0410944
baby	0.0410376
"little girl"	0.0410211
cup	0.0409423
cadre	0.0408498
staff	0.0408196
me	0.0407905
athlete	0.0406899
choice	0.0406506
horse	0.0406133
bull	0.0406073
performer	0.0404596
mother	0.0403538
teen-ager	0.0403444
nature	0.0403039
seven	0.0402704
"football team"	0.0402308
nothing	0.0401168
hero	0.040074
))
(Bund (desc 1018.64) (sims
"Potala Palace"	0.100423
"Lijiang River"	0.0955265
"Brandenburg Gate"	0.0888844
"West Lake"	0.0880648
"Golden Triangle"	0.0880509
waterfront	0.0864173
"Sunset Strip"	0.0819686
nunnery	0.0813102
"holiday resort"	0.0765145
"skid row"	0.0751945
Sakhalin	0.0726008
"Hail Mary"	0.0723524
"Apollo Theater"	0.0722192
Decani	0.0693503
Colosseum	0.0668133
"Erie Canal"	0.0661635
"five key"	0.066082
"Hainan Island"	0.0652195
Badme	0.0647857
FOMC	0.0644875
Zhongguancun	0.0631151
"inner ear"	0.0630986
"Dead Sea"	0.0630257
lakefront	0.0629523
crotch	0.0622441
"Fort Worth-Dallas"	0.0616096
Whitehall	0.0609803
"Yangtze River Delta"	0.0604785
"Summer Palace"	0.0600557
nightspot	0.0589785
lowland	0.0589281
marshland	0.0587744
"Park Avenue"	0.0586101
"South Beach"	0.0583557
riverfront	0.0580412
Rhine	0.0578364
ZHOUSHAN	0.0578142
"Loess Plateau"	0.0577375
"Qinghai-Tibet Plateau"	0.0576281
Asia-Europe	0.0576202
northeastward	0.0573779
Buckhead	0.0568734
Laredo	0.0564911
"Mekong River"	0.0561508
Nabatiyeh	0.0558172
Igloo	0.0557548
"Upper East Side"	0.0552445
"Twin Towers"	0.0552161
Bowery	0.0551712
"Victoria Falls"	0.0550297
"Ellis Island"	0.0548589
"blast furnace"	0.0547747
"New Jersey Turnpike"	0.0547196
Warri	0.0540849
Williamsburg	0.0539876
"piece of cloth"	0.0536996
autobahn	0.0536758
"Dallas-Fort Worth"	0.0536584
"Har Homa"	0.0535896
"Passion play"	0.0535135
"Pearl River Delta"	0.0532304
Champs-Elysees	0.0531584
"Grand Central"	0.0530766
seawall	0.052993
"San Francisco Bay"	0.0529647
"bell tower"	0.0528191
"Aegean Sea"	0.0527756
Sedona	0.0524165
harbour	0.0521793
Lighthouse	0.0521655
"Outer Banks"	0.052148
esophagus	0.0516161
"New Territories"	0.0515647
"Washington Monument"	0.0514039
"National Register"	0.0513973
"Empire State"	0.0511795
"Long March"	0.0511737
hilltop	0.0508896
Stormont	0.0506957
"Big Sur"	0.0505902
"Bay Ridge"	0.0504486
"Old Town"	0.0504148
stockyard	0.0503865
"farmer's market"	0.0503729
CMAG	0.0502319
"hair follicle"	0.0501513
"square mile"	0.049899
"Puget Sound"	0.0498662
deadend	0.0496017
"Taj Mahal"	0.0495362
townhouse	0.049431
thana	0.0493401
"St. James"	0.0492871
Jezzine	0.0490477
"Old City"	0.0490351
FOP	0.0490126
frontlines	0.0487474
Reichstag	0.048739
WEU	0.0487078
"Alcoholics Anonymous"	0.0486491
"telephone booth"	0.0484474
hinterland	0.0484412
"Twin Cities"	0.0482985
Turpan	0.0482747
"Gold Coast"	0.0482439
entryway	0.0479878
"Long Island Rail Road"	0.0477343
"Pudong New Area"	0.0477081
Tudor	0.0473771
Spiegel	0.047333
"Black Sea"	0.0473241
"Hong Kong Island"	0.0469814
Jenin	0.0469147
"Three key"	0.0467035
JMC	0.0466828
"four key"	0.0466765
"Palace Museum"	0.0465166
grotto	0.0464641
Seine	0.0464508
"coastal plain"	0.0462587
"written word"	0.0461854
Bekaa	0.0461776
passageway	0.0461025
"Greater Boston"	0.0460597
mime	0.0460324
telomeres	0.0460113
"Hollywood Hills"	0.0460096
"piece of music"	0.0460093
"Shanghai Stock Exchange"	0.0458936
"Beibu Gulf"	0.0458918
"picture show"	0.0457885
raconteur	0.0457523
one-to-one	0.0456924
Nogales	0.0456165
Mercer	0.0454435
"Eighth Avenue"	0.0454277
"Red River"	0.0452441
"Bay of Bengal"	0.0451796
feistiness	0.0451329
Juarez	0.045055
"south side"	0.0450167
"East End"	0.0448231
oceanfront	0.0448174
"command post"	0.0447703
MCGEE	0.0447376
Galilee	0.044657
"coffee pot"	0.0446201
Wentworth	0.044568
beachfront	0.044481
"dirt track"	0.0444751
Lijiang	0.0444425
"killer whale"	0.0444083
"German capital"	0.0443637
Palestinian-Israeli	0.044355
"Union Station"	0.0443393
"Bay Bridge"	0.0443369
"picnic area"	0.0441755
"East Bay"	0.044
Vavuniya	0.0439664
DAX	0.0439466
"utility program"	0.0438714
"Western Pacific"	0.043839
capillary	0.0438125
"Jaffna Peninsula"	0.0436982
barrios	0.043692
Arua	0.0436617
"Greek Revival"	0.0436224
homeownership	0.0436057
"Gorges Dam"	0.0435987
"Fort Myers"	0.0435199
Ivoire	0.0435068
"public toilet"	0.0434943
"Dongting Lake"	0.0430031
cockfighting	0.0429977
"inaugural address"	0.0429476
stairwell	0.0428857
"South Bronx"	0.0428358
CWC	0.042831
"West Nile"	0.0428201
paddock	0.0428014
Gulu	0.0427977
Usenet	0.0426813
Zhangbei	0.0426641
"Exposition Park"	0.0426584
"bomb site"	0.0426236
Uvira	0.0424928
Metreon	0.0424779
AA	0.0424013
Northland	0.0423555
pharmacologist	0.0423355
Gotham	0.0422863
Catskills	0.0422522
"Pennsylvania Avenue"	0.0422517
"Manila Bay"	0.0421446
"Jordan Valley"	0.0421215
"Antelope Valley"	0.0421099
legionnaire	0.0420922
Metroplex	0.0420573
"West End"	0.0419911
"Route @@"	0.0419677
))
(Bundesbank (desc 5407.29) (sims
ECB	0.235021
"European Central Bank"	0.189025
"Bank Indonesia"	0.182947
"U.S. Federal Reserve"	0.166481
"Bank of England"	0.160454
"reserve bank"	0.156873
"Bank of Israel"	0.149631
"Bangladesh Bank"	0.147156
"central bank"	0.129468
"Bank of Zambia"	0.126255
"Reserve Bank of Australia"	0.123224
"Bank of Thailand"	0.123054
"Bank of Japan"	0.119954
Bi	0.11388
"Bank of Italy"	0.113253
BOJ	0.112978
"Hong Kong Monetary Authority"	0.112618
"People's Bank of China"	0.109793
"Federal Reserve"	0.107472
"Bank Negara"	0.107129
"Australian Olympic Committee"	0.106836
"Labor office"	0.105654
"U.S. Fed"	0.105154
UMNO	0.101416
"Bank of Korea"	0.0997949
"national bank"	0.097576
EOHR	0.0973187
"U.S. Soccer Federation"	0.0955748
"Reserve Bank of India"	0.0955484
"Economic Planning Agency"	0.0946559
Fed	0.0942106
"EU Commission"	0.0907542
Chancellor-elect	0.0905744
IAAF	0.0874734
"Finance Ministry"	0.0873647
"CBS Sports"	0.0872992
"Federal Reserve Bank"	0.0871563
"International Ski Federation"	0.0870232
"Bank of China"	0.086952
"Philippine Central Bank"	0.0860256
FOMC	0.0856047
CPAFFC	0.083914
UCI	0.0835824
"Bank of Uganda"	0.0833486
IEA	0.0803612
"Defense Agency"	0.0794209
Meissner	0.0791237
EC	0.0788281
CAA	0.0787079
SOCOG	0.0785852
"Monetary Policy Committee"	0.0785715
PBOC	0.0784562
UUP	0.0774725
HKMA	0.0774309
GSS	0.0768384
BIA	0.0763395
"Health and Welfare Ministry"	0.0752683
"European Commission"	0.0751769
CBK	0.0729626
"Volkswagen AG"	0.0729497
"patent office"	0.0725089
CBI	0.0724125
HKFA	0.0717746
Ruthardt	0.0713862
"election commission"	0.0713541
OCA	0.071236
"Kenyan Government"	0.0709353
IPU	0.0704458
"Federal Reserve Board"	0.0701632
Singson	0.0692827
ZCTU	0.0688553
BOC	0.0687221
FA	0.0682582
"Clinton Administration"	0.0681334
"Board of Supervisors"	0.0678946
FDIC	0.0677064
"U.S. Defense Department"	0.0675258
"Olympic Council of Asia"	0.0673332
"International Monetary Fund"	0.0670416
"Investors Service"	0.0669865
IMF	0.066854
CNOOC	0.0667526
"Department of Finance"	0.0665891
"International Olympic Committee"	0.0663223
ADB	0.0660576
"Los Angeles City Council"	0.066022
"U.S. Treasury Department"	0.0658825
Judiciary	0.065835
AHA	0.0657313
Koskinen	0.0654808
PUC	0.0654621
"International Cycling Union"	0.0653734
"Justice Ministry"	0.0653156
"Football Association"	0.065056
"National Association of Broadcasters"	0.0649317
FIVB	0.0647419
EBRD	0.0646434
SDB	0.0642209
NSC	0.0637945
NCEC	0.0637416
ITTF	0.0633909
"International Tennis Federation"	0.0632108
"Commerce Ministry"	0.0631149
DFB	0.0626652
NARAL	0.0625951
AOC	0.0624102
OAS	0.0622455
ILO	0.0622356
USOC	0.0621135
EPA	0.0620953
ISTAT	0.0617313
"Central Election Commission"	0.0616655
"Allied Pilots Association"	0.0616362
PSE	0.061588
"International Amateur Athletics Federation"	0.061464
USAID	0.0613977
"Olympic Committee"	0.0613423
"International Amateur Athletic Federation"	0.0613212
"European Bank for Reconstruction"	0.0609765
SPC	0.0607744
RBA	0.0605438
ACWF	0.0603319
"Cuban American National Foundation"	0.0602131
Hynes	0.0601135
FIFA	0.060066
SSB	0.0599669
CBO	0.0599561
"Deutsche Bank AG"	0.0599414
CNPC	0.0598927
NRC	0.059877
PCC	0.0597592
"Arab League"	0.0595307
"Salt Lake Organizing Committee"	0.0592356
"US State Department"	0.0591654
"Ford Motor Company"	0.0589606
ISU	0.0589019
SLOC	0.05884
"United Way"	0.0588269
"British Foreign Office"	0.0588033
AMF	0.0586961
"Ministry of Finance"	0.0586799
CASS	0.0586315
"Treasury Department"	0.0584133
"International Badminton Federation"	0.0582173
CFA	0.0581515
ARATS	0.0580909
IOC	0.0580595
CDB	0.0580218
policy-makers	0.0579259
Gazprom	0.0578598
"Federal Assembly"	0.0578028
FIA	0.057752
Teresi	0.0573101
"Turner Sports"	0.0572463
"Nuclear Regulatory Commission"	0.0570863
"Asian Football Confederation"	0.0569989
UEFA	0.0569635
"Organizing Committee"	0.0569075
CCF	0.0568827
"National Council of La Raza"	0.0568747
FCC	0.0568537
CEC	0.056629
"USA Basketball"	0.0566247
YankeeNets	0.0565935
"International Skating Union"	0.0563793
CITIC	0.0563645
"Constitutional Court"	0.05624
"Israeli Cabinet"	0.0561365
Eximbank	0.0561143
OPEC	0.0559517
"Russian Orthodox Church"	0.0559169
Arens	0.0559066
FSA	0.0558825
"Ulster Unionist Party"	0.0558498
"American Petroleum Institute"	0.055835
Celera	0.055782
ama	0.0557412
CAF	0.0557392
Fernandes	0.0556498
"Agriculture Ministry"	0.055606
CMA	0.0554948
"World Bank"	0.0552904
Waigel	0.0550908
Verniero	0.0550274
"Korean Air"	0.0550189
NHTSA	0.054994
ICBC	0.0549316
"Bank of Canada"	0.0549051
HCFA	0.0546958
SCLC	0.0546416
APA	0.0546082
Wenger	0.0545295
Mowlam	0.0545089
ITF	0.0543409
IDB	0.0541607
"Mannesmann AG"	0.0540392
"Deutsche Bank"	0.0540112
F.A	0.0539676
"Federal Deposit Insurance Corp."	0.0538449
Kyprianou	0.0538276
))
(Bundesliga (desc 7009.68) (sims
"Premier League"	0.16502
"AFC West"	0.147413
"Italian League"	0.147247
"National League West"	0.1454
"National League Central"	0.139909
"National League East"	0.135054
"NFC East"	0.134236
"Big Sky Conference"	0.133263
"Western Athletic Conference"	0.131584
"Big @@"	0.130621
"AL West"	0.130384
"NL Central"	0.130027
"American League West"	0.125276
"Champions League"	0.124286
"UEFA Cup"	0.121129
"Central Division"	0.120264
"AL Central"	0.11981
"European Champions League"	0.118468
"Big Sky"	0.118392
ml	0.118203
"Group @"	0.116204
"Western Conference"	0.115983
"NL East"	0.115737
"NL West"	0.115691
"Atlantic Coast Conference"	0.115589
Pacific-@@	0.115167
CWS	0.114956
"Big East"	0.11431
"AFC Central"	0.114021
"Atlantic Division"	0.113435
"AFC East"	0.11229
"NFC West"	0.112249
Premiership	0.111134
"AL East"	0.109162
"English Premier League"	0.108319
"Fed Cup"	0.108116
"NFC Central"	0.107781
"League Cup"	0.107298
"Big West"	0.106517
"Eastern Division"	0.102351
"National Hockey League"	0.102141
"Little League World Series"	0.101987
"Southeastern Conference"	0.101634
"Eastern Conference"	0.10147
"American League East"	0.101149
WNBA	0.101012
"Pacific Division"	0.100622
Serie	0.10012
"European Cup"	0.0991264
NHL	0.0985696
"Bayer Leverkusen"	0.0983449
"Werder Bremen"	0.097828
"European Champions Cup"	0.0963175
"Bayern Munich"	0.0961464
AFC	0.0960511
ACC	0.0953428
Pac-@@	0.0950333
"Conference USA"	0.0942942
"Champions Cup"	0.0932376
"Borussia Moenchengladbach"	0.0921277
"World Championship"	0.0917992
WAC	0.0913672
"VfB Stuttgart"	0.0913497
"SEC East"	0.0908105
"Pan Ams"	0.0895258
"European Champions"	0.0887267
A.L.	0.088522
"basketball league"	0.0881447
Kaiserslautern	0.0881411
"Division @"	0.0880478
cruiserweight	0.0875403
"Solheim Cup"	0.0873202
"Cup Winners Cup"	0.0868239
ABL	0.0864005
NFC	0.0853511
AHL	0.0850952
"FA Cup"	0.0843513
"Hertha Berlin"	0.0822579
"National Basketball Association"	0.0821265
"American League"	0.0816142
hardcourt	0.0804619
"South Regional"	0.0803307
"Northeast Division"	0.0801034
"World Cup"	0.0796858
"Gold Cup"	0.0793181
under-@@	0.0791031
"Division I-AA"	0.078821
interleague	0.0785854
"first six"	0.0780733
"Busch Series"	0.077936
"Italian Cup"	0.0776383
AFL	0.0770034
NL	0.076958
"major league"	0.0763412
"Libertadores Cup"	0.0762037
"National League"	0.0760357
tourney	0.0752063
"first three"	0.0752038
soccer	0.0750904
"Euro @@@@"	0.0745628
"Southwest Conference"	0.0743587
"Martin Schmitt"	0.0741903
"cup final"	0.0740791
Wolfsburg	0.0740212
flyweight	0.0738111
"Horned Frogs"	0.0737846
"ATP Tour"	0.0733132
"first four"	0.0728394
"Ralf Schumacher"	0.0727507
"Federation Cup"	0.0722616
"junior lightweight"	0.0720326
IHL	0.0719792
constructor	0.071812
"water polo"	0.0711462
"first cup"	0.0710379
"Thomas Cup"	0.0703274
Rugby	0.070039
Super-G	0.0700327
"American Hockey League"	0.0700186
"European Championship"	0.0699933
"ice hockey"	0.0699313
"junior welterweight"	0.0696858
WCC	0.0688025
"Claudia Pechstein"	0.0686703
"Chinese Basketball League"	0.0685336
"Copa America"	0.0685329
Springbok	0.068524
"International League"	0.0681972
CBA	0.0680692
"first nine"	0.0679656
"little league"	0.0679503
"Davis Cup World Group"	0.0678815
Bayern	0.0677808
EuroLeague	0.0675874
"Uber Cup"	0.0670251
"NFL Europe"	0.0663552
"World Group"	0.0663343
Rostock	0.0663059
"Dunhill Cup"	0.0662879
"Borussia Dortmund"	0.0662813
"Busch Grand National"	0.0660865
NBA	0.0660769
"Gunda Niemann-Stirnemann"	0.0659648
"College World Series"	0.0658734
Munich	0.0657825
"first seven"	0.0657168
"Continental Basketball Association"	0.0655435
"International Hockey League"	0.065426
"round robin"	0.065409
Heptathlon	0.0653941
"NASCAR Winston Cup"	0.065332
postseason	0.0652262
slalom	0.064579
ATP	0.0645639
"Cactus League"	0.0643348
"Canadian Football League"	0.0643008
"National Football League"	0.064108
nonconference	0.0639826
Mavs	0.0638939
"NCAA Tournament"	0.0638448
"Heike Drechsler"	0.0637975
"big league"	0.0635354
"Grand National"	0.0634218
NLCS	0.0634177
MLS	0.0633345
"Davis Cup"	0.0630742
Dortmund	0.0628491
"first @@"	0.0628017
"regulation time"	0.062788
"Sandra Voelker"	0.0626684
Filderstadt	0.0626604
Leverkusen	0.0626428
"World League"	0.0626322
Barnsley	0.062465
"Orange Bowl"	0.0622399
"MLS Cup"	0.0621885
"Winston Cup"	0.0620796
"U.S. Senior Open"	0.0620736
"F.A Cup"	0.0613473
FC	0.061249
"Ryder Cups"	0.061168
"Los Angeles Galaxy"	0.0609618
"Red Star"	0.0607634
"Canadian Open"	0.0606423
"NBA Finals"	0.0606411
WBO	0.0605161
"minor league"	0.0603359
"junior middleweight"	0.0600346
"U.S. Amateur"	0.0599963
"Funny Car"	0.0594536
"American Football League"	0.0591809
nit	0.0588665
"African Cup"	0.0585873
decider	0.0585244
"first five"	0.0584857
"field hockey"	0.0579035
"Group A."	0.0578959
Flamengo	0.0578591
"won eight"	0.0576556
"World Series"	0.0573196
))
(Bundestag (desc 2203.9) (sims
"Federation Council"	0.284995
"Russian Duma"	0.273401
"State Duma"	0.250514
"Russian State Duma"	0.235508
Duma	0.223741
"Lok Sabha"	0.211418
"Israeli Knesset"	0.19791
"Great Hural"	0.193963
"Federal Council"	0.193904
Majlis	0.182044
"Supreme Soviet"	0.181721
"House of Commons"	0.181401
"legislative assembly"	0.178888
"Lower House"	0.176461
"Federal Assembly"	0.169699
"Texas Senate"	0.168636
Knesset	0.165177
"National Assembly"	0.158056
"Texas House"	0.15184
"Russian Parliament"	0.146697
"House of Representatives"	0.146613
"Palestine National Council"	0.144673
"European Parliament"	0.143653
"Palestinian National Council"	0.14216
"Scottish Parliament"	0.138833
"Upper House"	0.138664
"National Council"	0.137071
"US House"	0.136211
"Constitutional Assembly"	0.132641
"Palestinian Council"	0.127557
DPR	0.125983
"Board of Supervisors"	0.125282
Commons	0.124069
"Palestinian Legislative Council"	0.12285
"House of Lords"	0.120321
"British Parliament"	0.118713
MPR	0.118393
"Los Angeles City Council"	0.1157
"electoral college"	0.11108
"United States Congress"	0.109569
PNC	0.109543
"US Congress"	0.105823
"Philippine Senate"	0.10291
"Consultative Assembly"	0.101342
"city council"	0.101221
"Chinese Olympic Committee"	0.10032
"Northern Ireland Assembly"	0.0993156
"House International Relations Committee"	0.0991172
"U.S. Soccer Federation"	0.0939297
"Ethics Commission"	0.0938337
"legislative council"	0.0924742
"state legislature"	0.0898082
"Yegor Stroyev"	0.0895837
"Senate Appropriations Committee"	0.0895151
"Australian Olympic Committee"	0.0884168
"House Commerce Committee"	0.0881293
CPAFFC	0.0870584
"Olympic Council of Asia"	0.0857987
"Palestinian Central Council"	0.0857198
"Election Committee"	0.0846886
Kyprianou	0.0845485
"International Society"	0.0843716
"Christian Democratic Union"	0.0841421
"House Budget Committee"	0.0832965
"senior class"	0.0823245
OCA	0.0823127
"European Council"	0.0821289
Reichstag	0.0817594
"Southern Baptist Convention"	0.0807709
"Allied Pilots Association"	0.080717
Presidium	0.0805734
two-bedroom	0.0792268
"Screen Actors Guild"	0.0792093
DLC	0.0791403
"Andean Group"	0.0786397
"Rules Committee"	0.0785939
"Foreign Relations Committee"	0.0776924
"Business Council"	0.0774907
"Senate Budget Committee"	0.0769816
"US Senate"	0.0752359
SCLC	0.074257
CFA	0.0741736
"Senate Commerce Committee"	0.0738981
CWA	0.0733431
"Academy of Motion Picture Arts"	0.0727397
"Senate Banking Committee"	0.0722202
"EU Commission"	0.0720798
"Texas Legislature"	0.0720072
ACWF	0.0717911
CNOOC	0.0710354
"Association of Flight Attendants"	0.0708198
"general assembly"	0.0703616
"Board of Elections"	0.0703086
"House Banking Committee"	0.0702318
"United States Senate"	0.0697359
CITIC	0.0696195
"Inter-Parliamentary Union"	0.0692228
"Israeli Cabinet"	0.0692129
"Communications Workers of America"	0.0685706
"Human Rights Commission"	0.0685149
PSE	0.0682546
"Empire State"	0.0680065
"Commerce Committee"	0.0678866
"International Association of Machinists"	0.0678265
"CBS Sports"	0.0677155
"Ways and Means Committee"	0.0675883
"Public Service Commission"	0.0661461
"Senate Finance Committee"	0.0657812
"Local @@"	0.0653708
"Asian Football Confederation"	0.0653521
"Senate Armed Services Committee"	0.0652091
Chancellor-elect	0.064824
"International Skating Union"	0.0646236
CASS	0.0645939
"House Ways and Means Committee"	0.0644445
"Blair House"	0.0633287
"National Council of La Raza"	0.0632492
DFB	0.0631564
"machinists union"	0.0629764
"Council of Ministers"	0.0625786
APA	0.0621997
IPU	0.0619376
"Borussia Moenchengladbach"	0.0618644
NARAL	0.0616228
CAF	0.0616074
"Sanctions Committee"	0.061256
"American Bar Association"	0.0612174
SPC	0.0610581
"Monetary Policy Committee"	0.0610482
"U.S. Olympic Committee"	0.0608733
"Appropriations Committee"	0.0606279
"Local @@@@"	0.0605198
"USA Basketball"	0.060462
"United Auto Workers"	0.0604439
"Wine Institute"	0.0604232
"Free Democratic Party"	0.0603718
"United Nations Security Council"	0.0603694
UMNO	0.0603299
"House Appropriations Committee"	0.0602396
plc	0.0600511
"Republican Senate"	0.0600441
PUC	0.0599428
FIVB	0.0596757
CNPC	0.0593011
"Klaus Naumann"	0.0592883
CCF	0.0591325
"International Tennis Federation"	0.0590559
"Chinese NPC"	0.0584937
"Union of Right Forces"	0.0579298
"Nevada State Athletic Commission"	0.0574393
NSC	0.0573619
CIRC	0.0571891
"U.S. Golf Association"	0.0571324
"Senate Foreign Relations Committee"	0.0571134
CMA	0.0570543
"New Korea Party"	0.0568959
"Labor office"	0.0568617
ARATS	0.0568318
"United Steelworkers"	0.0568274
"Banking Committee"	0.0567004
"Benevolent Association"	0.056638
rank-and-file	0.0562085
"Medical Society"	0.0561771
CAS	0.0561472
"Congress Working Committee"	0.0561165
"Judiciary Committee"	0.0560447
"Yamaichi Securities Co."	0.0559889
"International Olympic Committee"	0.0558808
LDP	0.0558191
"Provisional Legislative Council"	0.0557988
Laban	0.0555387
"legislative branch"	0.055484
"Senate Judiciary Committee"	0.0554595
"Revolutionary Party"	0.0553939
Westminster	0.0552598
"finance committee"	0.055174
"North Atlantic Council"	0.0550517
"UN Security Council"	0.0550295
"Salt Lake Organizing Committee"	0.055005
"American Federation"	0.0548965
"Board of Governors"	0.0548496
"freshman class"	0.0546195
ZCTU	0.0545902
"Grand National Party"	0.054565
"PLO Executive Committee"	0.0545484
CSE	0.0540224
"National Abortion and Reproductive Rights Action League"	0.054005
"governing board"	0.0540028
"Nevada Athletic Commission"	0.0539913
NPC	0.0539206
"U.S. Chamber of Commerce"	0.0538694
NEA	0.0538378
"National Urban League"	0.0537573
ABA	0.0537255
UDF	0.0536856
"U.N. Human Rights Commission"	0.0536792
"board of education"	0.0536502
"National Association of Manufacturers"	0.0534092
CAA	0.0531619
"Operation Rescue"	0.0531546
))
(Bundibugyo (desc 2181.69) (sims
Gulu	0.312524
Kasese	0.309831
Arua	0.283408
Kitgum	0.257866
Moyo	0.242828
Mbarara	0.23716
Mbale	0.204571
Batticaloa	0.195902
Sylhet	0.144846
Trincomalee	0.138716
Paphos	0.132047
Vedeno	0.123748
lira	0.121596
Bazar	0.120971
Rajshahi	0.119365
Larnaca	0.115528
Shali	0.114392
Vavuniya	0.113915
Kenema	0.112712
Khulna	0.109268
Kilinochchi	0.10251
Urus-Martan	0.100885
Nakuru	0.0983746
"Paradise Valley"	0.0951788
Gudermes	0.0948141
Jaffna	0.094197
Decani	0.0938934
Kailahun	0.0930073
dang	0.0875533
Galle	0.0868726
Jinja	0.0859905
Mullaitivu	0.0847951
Limassol	0.0836778
Talipao	0.0797076
Moshi	0.079552
Badme	0.0789784
Prijedor	0.0780759
Kigoma	0.0775462
Vlore	0.0774948
Mankulam	0.0761884
Kandy	0.0747131
Medina	0.0746034
Gisenyi	0.0736099
Kisumu	0.0729227
Merca	0.0726247
"Borough Park"	0.0722392
Nago	0.0717359
KAMPALA	0.0709277
Marjayoun	0.0701422
Bekaa	0.069029
Kismayu	0.0685485
Prizren	0.0682956
Pailin	0.0666472
Kono	0.0652904
Makeni	0.0633509
Kanungu	0.0630682
"Grand Central"	0.0630459
"Makerere University"	0.0629487
"North Caucasus"	0.0622713
Rafah	0.062161
Kalemie	0.0621303
Izmit	0.06212
Posoltega	0.0619356
Chittagong	0.0610843
Vukovar	0.0606758
Maasai	0.0602167
Nabatiyeh	0.0601066
Urosevac	0.059926
CHT	0.0596385
CityWalk	0.0594676
Assisi	0.0588275
"first school"	0.0586925
Ballymoney	0.0585709
Belacevac	0.0583765
Karan	0.0583218
Ojai	0.0582023
Cacak	0.0580151
"Resistance Army"	0.0578933
Caprivi	0.0577453
Uvira	0.0576779
Kismaio	0.0576734
Sihanoukville	0.0572309
Ipswich	0.0572178
"Suva Reka"	0.0571483
PEC	0.0569289
Dundalk	0.0561209
Bengkulu	0.0558007
Harlingen	0.0556264
Livingstone	0.0552694
"Anlong Veng"	0.0551867
"one school"	0.0551432
Hastings	0.0546865
Baalbek	0.0544922
"Lord's Resistance Army"	0.0542642
Mitrovica	0.0542204
Atambua	0.0540032
Moma	0.0539858
"West Los Angeles"	0.0536967
Baidoa	0.0536637
Jezzine	0.0536188
Ensenada	0.0535716
Abkhazia	0.0534291
Kizlyar	0.053316
"Old Town"	0.0532963
MSF	0.0532797
Brcko	0.0532386
"Santa Maria"	0.0531944
Portadown	0.0526686
Daghestan	0.0515916
"SIERRA BLANCA"	0.0515019
Beersheba	0.0511456
Kindu	0.0511005
Walkerton	0.0508502
"Allied Democratic Forces"	0.0508176
Montclair	0.0504754
Tachilek	0.0502932
Podujevo	0.0502149
"South Bronx"	0.0501628
Morogoro	0.050027
Ashkelon	0.0499351
"Lake Worth"	0.0496338
Hayward	0.0493715
Orahovac	0.0493071
Juba	0.0491231
Paranthan	0.0488043
"San Pedro"	0.0487856
"Union Square"	0.0482695
Taba	0.0479185
"Lake Tanganyika"	0.0478885
UPI	0.0478845
Antioquia	0.0474875
Dodoma	0.0474199
panhandle	0.0473394
Omagh	0.0472981
Gujarat	0.0470305
Entebbe	0.0469313
"San Joaquin Valley"	0.0466565
"Rift Valley Province"	0.0465492
"West Bengal"	0.0465272
Sofala	0.0462793
BRIGHTON	0.0462623
Princeville	0.045906
Ruhengeri	0.0458485
Cordova	0.0455155
Golcuk	0.0455109
Murmansk	0.0454372
"Garvaghy Road"	0.0454253
"Cobb County"	0.0454224
"House Democrats"	0.0452605
"Lake Victoria"	0.0450865
Jing	0.0450434
"Kosovska Mitrovica"	0.0448862
Galilee	0.0447959
Malisevo	0.0447956
riverside	0.0445938
Argun	0.0445893
Westport	0.044584
Gnjilane	0.0445227
Brixton	0.0444774
"AIDS patient"	0.0443035
"Idi Amin"	0.0440335
Haicheng	0.043871
Mwanza	0.0438301
Orleans	0.0437357
Hyannis	0.0436885
Ghali	0.0436381
Jasper	0.0434106
Pueblo	0.0433571
Djakovica	0.0432747
Arad	0.0431181
Jenin	0.0430689
Nogales	0.043055
"Bekaa Valley"	0.0430331
"Northern Virginia"	0.043007
Buldon	0.0429818
Skaneateles	0.0427957
Tuzla	0.0427866
Mostar	0.0426598
"Kigoma Region"	0.0425924
Eureka	0.0425863
Orissa	0.042431
Bogor	0.042305
Eschede	0.042235
"San Angelo"	0.042091
Mtwara	0.0420569
"Monmouth County"	0.0419625
"French Quarter"	0.0417322
"East Java"	0.0416828
"North Shore"	0.041678
Leningrad	0.0415668
oceanside	0.0414856
Maseru	0.0414103
Multan	0.0412285
Kukes	0.0410954
"Mississippi Delta"	0.0410833
"Marin County"	0.0409762
Londonderry	0.040931
Durres	0.0408677
Jolo	0.0408071
"Far Eastern"	0.0406456
))
(bundle (desc 20323) (sims
stack	0.0979884
pile	0.0852696
suitcase	0.084784
bag	0.0847671
sheaf	0.0839511
wad	0.0798336
packet	0.0746568
stash	0.0743231
carton	0.0730684
oodles	0.072833
ton	0.0723734
package	0.0691567
bouquet	0.0679481
box	0.0657481
"more than @@@ pounds"	0.0655584
container	0.0653226
piece	0.0635209
sack	0.0631036
trove	0.0630927
"two boxes"	0.0611119
stacks	0.0606437
array	0.0604855
cache	0.0604191
briefcase	0.0598283
"duffel bag"	0.0597465
chunk	0.0595842
parcel	0.0592786
batch	0.0582584
quantity	0.0580113
tangle	0.0577894
cylinder	0.0576852
truckload	0.0576257
"two tons"	0.0575725
clump	0.0573245
backpack	0.0571075
crate	0.0570956
copy	0.0567165
jar	0.056479
strand	0.0558077
wads	0.054871
armful	0.0547421
fistful	0.0540201
bottle	0.0539755
layer	0.0538893
pallet	0.0537316
"about @@@ pounds"	0.0530533
"about @@ tons"	0.0530292
"more than @,@@@ tons"	0.0527641
bunch	0.0524459
vial	0.0522554
bale	0.0520729
bucket	0.0516296
plenty	0.0514693
ream	0.0513543
panoply	0.0500893
envelope	0.0500704
heap	0.0493216
lump	0.0491762
wreath	0.048935
dime	0.0488648
photocopy	0.0486251
basket	0.048505
welter	0.0484991
"shopping bag"	0.0481617
spool	0.0480823
blanket	0.0480088
"whole lot"	0.0479181
tray	0.0476559
printout	0.046806
catalog	0.0467615
sum	0.0466709
pouch	0.0466365
scraps	0.046621
folder	0.0465379
"more than @@@ tons"	0.0463107
rack	0.0455762
"more than @@ tons"	0.0454715
cluster	0.0453864
hoard	0.0453253
provider	0.0451059
satchel	0.0447803
slew	0.0447441
sheet	0.044517
kit	0.0442821
consignment	0.0441661
pail	0.0441044
contraption	0.0438817
assortment	0.0438675
morsel	0.0436452
"full complement"	0.0436367
pillow	0.0435836
shipment	0.0433386
capsule	0.043237
canister	0.0431927
coffin	0.0431575
toy	0.0429891
coil	0.0428966
blob	0.0428774
tube	0.042811
wallet	0.0428076
jumble	0.0427951
boatload	0.0427772
brick	0.0425618
knot	0.042552
wheelbarrow	0.0424918
"dollar bill"	0.0424354
nest	0.0424175
"teddy bear"	0.0423326
portfolio	0.0423059
compartment	0.0422884
gadget	0.0422133
raft	0.0418596
bushel	0.0418087
pellet	0.0418066
slab	0.0417956
smorgasbord	0.0417072
"about @,@@@ tons"	0.0416817
pot	0.0414007
"piece of paper"	0.0412381
Tin	0.0412121
urn	0.0409987
bulk	0.0409098
suite	0.0408376
cartridge	0.0408114
"sheet of paper"	0.0405083
leaf	0.0404263
"shopping cart"	0.0404188
hunk	0.0403863
broom	0.0402601
mosaic	0.0401493
sandbag	0.0401248
piles	0.04009
penny	0.0400897
swatch	0.0400399
))
(bundling (desc 2819.18) (sims
decoding	0.0840713
linking	0.0814799
functionality	0.0739059
"damage control"	0.0735064
"tax avoidance"	0.0721189
filtering	0.0697178
branding	0.0673271
hedging	0.0642028
MSN	0.0641397
"Windows CE"	0.0629361
demo	0.0611279
reseller	0.0591384
go-slow	0.0589337
Concealment	0.0563261
"short selling"	0.0561282
packaging	0.0556566
Hotmail	0.0554831
"Outlook Express"	0.055162
eleventh-hour	0.0550013
frontpage	0.0546256
"direct action"	0.0544607
medium-term	0.0542075
diversification	0.0535724
WebTV	0.0534777
"corporal punishment"	0.0530567
stalking	0.0530451
commercialization	0.0529683
firewall	0.0524081
"Windows Media Player"	0.0523218
"Windows NT"	0.0519245
OS/@	0.0518852
price-fixing	0.0518429
deductibility	0.0518308
videophone	0.0515771
"price cutting"	0.050152
privatisation	0.0496093
lifesaving	0.0495422
merchandising	0.0492573
localization	0.0491774
Encarta	0.0490754
e-business	0.0490082
longterm	0.0484402
rollout	0.0482582
CE	0.0480642
"bond trading"	0.0479313
automation	0.0477533
copying	0.0476213
Encryption	0.0472678
NSP	0.0472638
Expedia	0.0469246
labeling	0.0464087
SAS	0.0463512
iss	0.0462869
"Netscape Navigator"	0.0460273
reemployment	0.0457029
"Internet Explorer"	0.0456776
"Microsoft Office"	0.0447421
emulator	0.0446799
importing	0.0445025
oil-for-food	0.0444444
fallback	0.0443772
broadband	0.044309
militarization	0.0440589
Os	0.0440201
licensing	0.0437098
propagation	0.0436698
KIMCHI	0.0431456
piracy	0.0429708
Posting	0.042905
"investment banking"	0.0427807
asp	0.0426415
lastest	0.0425527
RealPlayer	0.0425116
intranet	0.0423434
emulation	0.0422837
scheduling	0.0420252
"Microsoft Windows"	0.0419419
"Office @@@@"	0.041878
obstructionist	0.0416957
near-monopoly	0.0416399
Convergence	0.0414565
ICQ	0.041447
ZDTV	0.041409
customization	0.0413688
Shockwave	0.0412347
electioneering	0.0411582
"personal business"	0.0411291
"Ask Jeeves"	0.0411133
duplication	0.0409595
polygamy	0.0408525
"big picture"	0.0405791
seduction	0.0405654
Post-Intelligencer	0.040486
narrowness	0.0404595
divestment	0.0403911
imaging	0.0401877
giveaway	0.040057
PowerPoint	0.0400509
marketability	0.0400374
"back office"	0.0400224
YankeeNets	0.0400209
))
(bungalow (desc 11721.5) (sims
cottage	0.197103
"ranch house"	0.174088
farmhouse	0.146814
shack	0.143974
"town house"	0.136651
townhouse	0.130621
"row house"	0.130005
Villa	0.122693
condo	0.120967
hut	0.119607
inn	0.118923
condominium	0.1183
duplex	0.117613
mansion	0.1154
dwelling	0.112689
shanty	0.11161
apartment	0.109482
"mobile home"	0.106424
storefront	0.104927
brownstone	0.104772
"apartment house"	0.103857
hacienda	0.103666
cabin	0.101974
"apartment building"	0.100192
"carriage house"	0.0970294
"log cabin"	0.0957677
schoolhouse	0.094303
"beach house"	0.0926203
"office building"	0.0910901
townhouses	0.090323
motel	0.0899268
barn	0.0895673
loft	0.0890827
tenement	0.0887641
trailer	0.0849113
two-story	0.0842473
lodge	0.0835318
chalet	0.0816815
high-rise	0.0816269
hotel	0.0812472
garage	0.0789382
residence	0.0784824
"manor house"	0.0782392
Warehouse	0.0774265
hovel	0.0758171
Colonial	0.0754506
lean-to	0.0752873
chapel	0.0745352
"living room"	0.0737696
palace	0.0736814
subdivision	0.0729941
Castle	0.072933
"country house"	0.0713607
teahouse	0.0705975
"shopping center"	0.0701656
"studio apartment"	0.0701372
penthouse	0.0698181
parlor	0.0690481
"vacation home"	0.0689977
outbuilding	0.0683633
outhouse	0.0680475
"dining room"	0.0674902
Tower	0.0673519
cafe	0.0670673
bed-and-breakfasts	0.0668928
fortress	0.0665889
facade	0.0664969
pavilion	0.0662898
"office block"	0.0657427
mosque	0.0657051
bedroom	0.065598
hostel	0.0655933
suite	0.0653222
synagogue	0.0646542
courtyard	0.0644928
tent	0.0644893
boutique	0.0638026
kitchen	0.0634117
dormitory	0.0633751
courthouse	0.0633555
"movie theater"	0.0632274
houseboat	0.0626177
edifice	0.0625682
gymnasium	0.0625165
"picket fence"	0.0624771
studio	0.062474
manse	0.0623014
cubicle	0.0621679
bed-and-breakfast	0.0619197
barrack	0.061826
estate	0.0614075
shantytown	0.0607612
resort	0.0606988
"vacant lot"	0.0605339
flats	0.0603181
Monastery	0.0601365
"dance hall"	0.0600954
brick	0.0599923
saloon	0.0599673
pagoda	0.0599177
tavern	0.0596156
"summer house"	0.0592816
"resort hotel"	0.0590783
skyscraper	0.0590758
homestead	0.0590239
pub	0.0590095
"rocking chair"	0.058865
"convenience store"	0.058695
stucco	0.0585756
"sitting room"	0.0584879
campsites	0.0583742
patio	0.0580776
garden	0.0576794
"art gallery"	0.057678
eateries	0.0576232
nunnery	0.0572974
Marina	0.056812
walk-up	0.0567258
Housing	0.0564739
"grocery store"	0.0563764
"conference room"	0.056313
pier	0.0561629
porch	0.055975
kiosk	0.0557939
"holiday resort"	0.0557856
"gas station"	0.0556865
playground	0.0556432
"nest egg"	0.0556369
Victorian	0.0556329
"rooming house"	0.0553899
"jewelry store"	0.055363
"general store"	0.0553247
rectangle	0.0550637
bunk	0.0549961
mall	0.0549777
gym	0.0548094
campgrounds	0.0547936
archway	0.0547332
"motel room"	0.0546446
"parking lot"	0.0544519
plaza	0.0542713
seawall	0.0542537
ranch	0.0541742
"boarding house"	0.0540605
campground	0.0540348
overpass	0.0540254
downtown	0.0537103
stalls	0.0536017
terrace	0.0532987
Fort	0.0532929
classroom	0.0532648
Esplanade	0.0532036
auditorium	0.0530119
bakery	0.052816
basement	0.0527348
Chateau	0.0526499
nightclub	0.0525011
armchair	0.0522706
lounge	0.0522531
"entertainment center"	0.0521641
"swimming pool"	0.051955
booth	0.0518979
Lighthouse	0.0518202
"conference center"	0.0517025
enclosure	0.0516924
"city block"	0.0516902
Convent	0.0516494
"town hall"	0.0516321
bunker	0.0515685
Tables	0.0514732
hideaway	0.0514698
temple	0.0513901
manor	0.0513634
firehouse	0.0513442
shingles	0.0511821
"railroad car"	0.0511703
grotto	0.0511656
"water tower"	0.0509956
"hotel room"	0.0506391
shingle	0.0505932
"waiting room"	0.0504888
bistro	0.0504698
"amusement park"	0.0504462
"industrial park"	0.0503332
clapboard	0.0503089
"living quarters"	0.0502813
"shoe store"	0.0502716
walkway	0.0502021
slum	0.0501578
"shopping mall"	0.0497695
"concert hall"	0.0497594
hangar	0.0496809
alleyway	0.0495786
"elementary school"	0.049522
gallery	0.0494343
sanctuary	0.0493517
altar	0.0493147
speakeasy	0.0490243
furniture	0.0488355
sofa	0.0483761
))
(bungee (desc 1237.99) (sims
midrange	0.130093
parachute	0.119823
turnstile	0.108779
lemming	0.108184
Harrier	0.0833965
keg	0.0691602
axel	0.0658775
Tanga	0.0634906
IE	0.06217
kevlar	0.057855
lutz	0.0563445
"Nikkei Stock Average"	0.0560942
eight-foot	0.0547554
Pacifier	0.0542098
IPC	0.0541816
trampoline	0.0532787
"Keith Olbermann"	0.0530019
game-winning	0.0515992
"Commonwealth Bank of Australia"	0.0514815
forklift	0.051405
microcomputer	0.0498995
quantum	0.0496871
"Shanghai Composite Index"	0.0486512
"electric current"	0.0485817
plaid	0.0483788
Labrador	0.0476656
"freight car"	0.0475553
Knievel	0.0464442
"Commonwealth Bank"	0.0463089
"Straits Times Index"	0.0459399
daredevil	0.0457978
bebop	0.0453322
"Border collie"	0.0450959
powerboat	0.0449033
Grosjean	0.044897
putback	0.0447753
"first eight"	0.0445882
Rotary	0.0443935
fastbreak	0.0441397
"Little Dog"	0.0440461
personalization	0.0434018
"U.S. Olympic"	0.0430381
"other six"	0.042607
mini-van	0.0425804
Mahomes	0.0422777
"preferred shares"	0.0418821
palladium	0.0418532
parachutist	0.0414095
"piece of cloth"	0.041242
skydiver	0.0411757
Kamensky	0.041157
six-foot	0.0411001
half-inch	0.0410504
"cable car"	0.0405958
Tram	0.0402875
"draft dodger"	0.0402161
"producer price"	0.0400847
))
(bunk (desc 5066.67) (sims
cot	0.147595
"bunk bed"	0.10994
baloney	0.0782989
pew	0.0616837
cubicle	0.0585137
stool	0.0576213
"bomb shelter"	0.0573349
cabin	0.0554156
bungalow	0.0549961
"Lincoln Bedroom"	0.054887
tub	0.0538971
bathtub	0.0527498
mattress	0.0526613
"folding chair"	0.052576
alcove	0.0523438
urinal	0.0520902
"sleeping bag"	0.0516694
hovel	0.0516239
"car seat"	0.0515124
Sash	0.0494258
galley	0.0490114
"income bracket"	0.0487872
bookshelf	0.0485805
"summer house"	0.0483703
crib	0.0480274
hut	0.047927
sham	0.0478463
rung	0.0475374
"hospital bed"	0.0474609
cupboard	0.0473185
shanty	0.0468418
sofa	0.0466544
nonsense	0.046649
pallet	0.0463581
toilet	0.0460655
locker	0.0458275
crap	0.0453239
goal-scorer	0.044797
"garbage can"	0.0446611
octave	0.0444532
truss	0.044432
"park bench"	0.0442884
tarp	0.0438398
"tax bracket"	0.0433732
banquette	0.0432742
"living quarters"	0.0431921
"coffee table"	0.0428192
patio	0.042571
semicircle	0.0424864
"No. @s"	0.0420114
foolishness	0.0416723
shredder	0.0413637
piling	0.0411828
awning	0.040823
rubbish	0.0405906
compartment	0.0405257
drawer	0.0404441
gutter	0.0404013
hokum	0.0401495
lifeboat	0.0401354
))
("bunk bed" (desc 2561.63) (sims
bunk	0.10994
cot	0.0869991
"color television"	0.0778472
"folding chair"	0.0768023
shredders	0.0722614
bookcase	0.0714356
QBs	0.0689181
"television set"	0.0676375
"card table"	0.0659341
"tv set"	0.0654745
shredder	0.0649886
urinal	0.0643482
washer	0.0632908
"lounge chair"	0.062529
"summer house"	0.0608648
"file cabinet"	0.0598607
prong	0.0593507
dresser	0.0589838
stool	0.0586287
"side chair"	0.0581112
gravestone	0.0579297
sofa	0.0577423
mauve	0.0568987
"carriage house"	0.0567874
tub	0.0566302
drawer	0.0564129
"flight of stairs"	0.056241
"wage scale"	0.0560606
vote-getters	0.0558296
mattress	0.0551523
armchair	0.0549912
no-decisions	0.0547056
flagpole	0.0545903
stove	0.0545382
countertops	0.0545301
"water heater"	0.0543598
"No. @s"	0.0542893
wideouts	0.0539065
turntable	0.0539009
"Final Fours"	0.0535294
great-grandchildren	0.0534929
bookshelf	0.0531672
"three pitchers"	0.0530669
"fire escape"	0.0527996
closers	0.0526181
smelters	0.0520938
"All-Star Games"	0.0519655
cookware	0.0517677
"minor-league team"	0.0513809
"Ryder Cups"	0.0512063
drawers	0.0510641
"garbage can"	0.0509619
"filing cabinet"	0.0507274
tricycle	0.0507198
dishwasher	0.0505725
"five spot"	0.0505432
"trash can"	0.0502844
"car park"	0.0502798
air-conditioner	0.050004
treadmill	0.0499952
fireplace	0.0499727
"dormitory room"	0.0498838
"mobile home"	0.0496213
"wedding reception"	0.0494886
banquette	0.0492682
upperclassmen	0.049236
carpeting	0.0491517
rung	0.0488918
rebounders	0.0488888
abattoir	0.0487746
"sewing machine"	0.0487164
commode	0.0486197
"word of advice"	0.0485909
"mountain bike"	0.0474913
hyphen	0.0473859
bathtub	0.0471604
"shower stall"	0.046867
"white elephant"	0.0468035
galley	0.0468002
"fax machine"	0.0466556
"picture frame"	0.046283
Stairway	0.0462451
flue	0.0456743
businesswomen	0.0454781
"office furniture"	0.0452175
"pool table"	0.0451396
"television revenue"	0.0450797
B-@s	0.0450583
"major-league team"	0.0450454
"entertainment center"	0.0448481
telomeres	0.0448299
Jacuzzi	0.0446642
"British Opens"	0.0446327
derriere	0.0445218
eyeglass	0.0445191
"Special Economic Zones"	0.0444466
Klansmen	0.0444282
"washing machine"	0.0440982
mockup	0.0440466
freezer	0.0439982
quarterfinalists	0.0439431
Stealers	0.0437113
crib	0.0436891
"postage stamp"	0.043662
"railroad car"	0.0433371
clothesline	0.0431473
dais	0.0430585
near-misses	0.0430317
"Polo Grounds"	0.0429947
"kitchen appliance"	0.0428912
"display case"	0.0428278
crewmates	0.0427814
flooring	0.0427408
Furbys	0.0426578
"little finger"	0.0426424
"rocking chair"	0.0426131
pergola	0.0425001
"sprinkler system"	0.0424767
dyslexia	0.0422453
Sash	0.0421811
catwalk	0.042041
Picassos	0.0419029
co-chairs	0.0418677
cubicle	0.0418582
"water tank"	0.0417285
"triple play"	0.0416542
"tennis racket"	0.041485
MiGs	0.0413736
Ferraris	0.0413039
baserunners	0.0412861
cladding	0.0412634
escalator	0.0412366
ex-convicts	0.0411591
stairwell	0.0410282
"picture window"	0.0408395
"New York Republicans"	0.0407218
heater	0.0407065
"exercise equipment"	0.0406963
salchow	0.0406625
veranda	0.0406305
"coffee table"	0.0405363
octave	0.0403926
SNPs	0.0403847
Dutchmen	0.040336
teapot	0.0402526
scaffolding	0.0402308
absolutes	0.0401293
))
(bunker (desc 43338.6) (sims
rough	0.204128
fairway	0.135568
hole	0.108275
chip-in	0.101785
barrack	0.0957953
pit	0.0939128
double-bogey	0.0931154
ditch	0.0911044
green	0.0904766
putt	0.0899764
tunnel	0.0887183
tree	0.0873803
pond	0.0870286
building	0.0861608
outpost	0.085332
trench	0.0850618
"bomb shelter"	0.0846783
Warehouse	0.0836487
divot	0.081942
birdie	0.0814227
tank	0.0813031
sand	0.0810675
cave	0.0789214
depot	0.0785296
tee	0.0785209
garage	0.0774819
tent	0.0771581
Tower	0.0769904
hole-in-one	0.0769586
"apartment building"	0.0769395
shelter	0.0763003
hut	0.0754995
"approach shot"	0.0745734
fortification	0.0742719
bogey	0.0741592
eagle	0.0737467
feet	0.0733074
wall	0.0732932
house	0.0724657
culvert	0.0723632
compound	0.0720575
fortress	0.0710232
hideout	0.0701775
barricade	0.0701014
cavern	0.0696321
"military post"	0.0696
hangar	0.0691367
camp	0.0689352
village	0.0689285
basement	0.068338
"parking lot"	0.0682768
trap	0.0681848
shack	0.0675015
shed	0.0674472
apartment	0.0674368
wood	0.0673728
"observation post"	0.0672596
"oil refinery"	0.0671011
checkpoint	0.0668543
silo	0.0665389
fence	0.066414
Creek	0.066338
grass	0.0663049
box	0.0660727
Grave	0.0653352
cabin	0.0650759
par	0.0646533
cellar	0.0645727
"sand wedge"	0.063979
room	0.0638177
factory	0.0636469
dumps	0.063563
complex	0.0626203
two-putted	0.0626125
pin	0.0623844
airfield	0.0623213
"office building"	0.0622662
"military installation"	0.0619115
mosque	0.0617475
"command post"	0.0613983
Rut	0.0612757
bleachers	0.0610443
facility	0.0610026
closet	0.0609979
ravine	0.0605787
"police station"	0.0604362
bridge	0.060413
trailer	0.0601357
crater	0.0600533
booth	0.0600165
"military vehicle"	0.0598113
"power station"	0.0593668
bedroom	0.0593533
hotel	0.0593128
yard	0.0590705
dwelling	0.0589516
Monastery	0.0589358
reservoir	0.0588498
lake	0.0588049
vault	0.0587254
mountain	0.0586743
dam	0.0586264
container	0.0585487
structure	0.0584881
compartment	0.0583946
pile	0.0582753
"swimming pool"	0.058228
bed	0.0582226
car	0.0580136
pipe	0.0576795
"barbed wire"	0.0575746
tomb	0.0575059
Bin	0.057281
Castle	0.056908
synagogue	0.0567957
dike	0.0567272
Villa	0.0564789
hill	0.0563617
zone	0.0562889
barn	0.056276
residence	0.0562645
pavilion	0.0561285
bathroom	0.0560846
Grandstand	0.0560682
space	0.0559376
cage	0.0559268
walkway	0.0559265
pocket	0.0559205
kitchen	0.0558438
forest	0.0558283
temple	0.0554499
truck	0.0554068
"apartment house"	0.0553308
"upper deck"	0.0551423
cemetery	0.0550737
van	0.05503
park	0.0549303
pool	0.0549081
cannon	0.0548482
Concrete	0.0547504
mansion	0.0545494
wedge	0.0544286
encampment	0.054387
"conference room"	0.0543422
prison	0.05431
shot	0.0541834
palace	0.0538946
cottage	0.0538777
bullpen	0.0538379
farm	0.0537887
corner	0.0537679
cafe	0.0537186
vehicle	0.0536216
dormitory	0.0535489
seat	0.0535453
cliff	0.0532946
cistern	0.0531002
jeep	0.0528665
Dome	0.0527919
boat	0.0527884
jungle	0.0527212
convoy	0.052704
"storage tank"	0.0526613
"pumping station"	0.0525785
dugout	0.0525648
trunk	0.0525279
"mobile home"	0.0524249
classroom	0.0523905
laboratory	0.0523775
"penalty box"	0.0523575
"hotel room"	0.0523284
headquarter	0.0521479
Greens	0.0520137
doghouse	0.0519709
plaza	0.0519117
bar	0.0517336
dock	0.0516837
garden	0.0516246
substation	0.0515828
bungalow	0.0515685
shop	0.0515628
stronghold	0.0515581
farmhouse	0.0514078
bus	0.0511359
deck	0.0509701
"power plant"	0.0509174
studio	0.0507947
jail	0.0507222
installation	0.0506716
gate	0.0505714
gallery	0.0505143
courtyard	0.0504
nest	0.0503839
"shopping mall"	0.0503382
refinery	0.0503326
hospital	0.0503134
mine	0.0502557
"water tank"	0.0501917
headquarters	0.0501713
road	0.0501531
))
(Bunning (desc 759.072) (sims
Kennelly	0.139448
Klink	0.123055
Nethercutt	0.121819
Whittingham	0.1186
Mineta	0.117884
Dodik	0.109437
Katsav	0.108675
Lautenberg	0.107743
Kazhegeldin	0.104365
Lungren	0.102311
Diouf	0.102226
Ashcroft	0.100424
Hayworth	0.0963779
Logue	0.0941038
Kostunica	0.0933458
Rogan	0.0920789
Treen	0.0913171
Engel	0.0904185
Garcetti	0.0904122
Speer	0.08855
Enis	0.0883607
Schumer	0.0877494
Osborne	0.0867281
Moseley-Braun	0.0855819
Santorum	0.0854098
Fiddes	0.0850306
"Perez Balladares"	0.0839837
Chafee	0.0835877
Alarcon	0.0829763
Serpa	0.0818678
Feinstein	0.0809551
Golisano	0.0809081
Verney	0.0807723
Corzine	0.0802752
"Republican George W. Bush"	0.0802589
Leedham	0.0802478
Vacco	0.0795339
Hallinan	0.0787988
Kajiyama	0.0780618
Ciampi	0.0775571
Ruthardt	0.0771446
Florio	0.0771084
McCollum	0.0767363
Feuer	0.0767114
Montiel	0.0763979
Milstein	0.0757122
Hoffa	0.0756896
D'Amato	0.0756592
Yazdi	0.075627
Rossello	0.0756006
Rousseau	0.0753966
Coverdell	0.0753243
Advani	0.0751567
Markey	0.0748251
Ammiano	0.0747673
Nadler	0.074064
Musgrove	0.0738158
Boehner	0.073513
Doggett	0.0731646
Schaeuble	0.0728717
Wiggins	0.0728326
Hamzah	0.0727914
"De la Cruz"	0.0727524
NCEC	0.0727406
looper	0.0726728
FAIRCLOTH	0.0726267
Rideau	0.0726176
Cardenas	0.0725796
Aliev	0.0725188
Schiff	0.0723292
Spector	0.0722759
Rankin	0.0721406
Jelisic	0.0720669
Cepeda	0.0715206
Moynihan	0.0714564
Raitt	0.070978
Sutiyoso	0.070556
Harshbarger	0.070441
Mikhailov	0.070312
Noboa	0.0703013
Imelda	0.0700154
Cornyn	0.0699144
Labastida	0.0699075
MacKay	0.0697745
Kassirer	0.0696106
"Parti Quebecois"	0.069603
SEABROOK	0.0690351
Checchi	0.0687769
MBNA	0.0687245
Rylander	0.0686643
Alioto	0.0686627
Goode	0.0681423
Khannouchi	0.0679473
Namath	0.0677933
Knievel	0.0675825
Izetbegovic	0.0674675
Ballesteros	0.0673496
Quackenbush	0.0672038
Siegelman	0.0671818
Easley	0.0669965
Samuelson	0.0668305
Samper	0.0668071
"Rudy Giuliani"	0.0667332
Merlino	0.0666679
Bayh	0.0664184
Borodin	0.0663972
Gormley	0.0663675
Cormier	0.0663422
Carnahan	0.0660846
"Nolan Ryan"	0.0659994
Husseini	0.0659527
Traficant	0.0659204
Marichal	0.0659112
Schourek	0.0658078
Seleznyov	0.0656825
Udall	0.0653598
Walser	0.0652966
Jett	0.0651508
Mauro	0.0644484
Rothenberg	0.0642058
PETA	0.0640947
"Billie Jean King"	0.0639236
Reiner	0.0639069
Vallone	0.0634017
Paxon	0.0633249
Schmalensee	0.0632625
Havelange	0.0632375
"Chuck Schumer"	0.063156
Bishara	0.0631549
Madrazo	0.0630881
Armey	0.0628241
Kyl	0.0627944
Eyadema	0.062759
White-McCarty	0.0627516
Stahl	0.0627361
Lawler	0.0627197
Teresi	0.0626672
Baca	0.0623338
Seifert	0.062279
Espinosa	0.0620199
Feingold	0.0619455
Fassett	0.0618496
Sanan	0.0617947
Nebiolo	0.0617859
Chevenement	0.0617091
Spitzer	0.0615542
"Lawrence Taylor"	0.0614688
Laudor	0.0612513
Meciar	0.0610891
"Third Way"	0.0609179
Trachsel	0.0608258
Maritz	0.0606953
Sezer	0.0605086
Rangel	0.0604438
Basso	0.0604272
Meskini	0.0602503
Swango	0.0599938
Arbour	0.0597688
Faldo	0.0596705
Demps	0.0596095
Landry	0.0595456
Hiett	0.0594991
Testud	0.0594857
Chabot	0.0594328
Masire	0.0593762
Balaguer	0.0591799
Gotti	0.0589884
Schottenheimer	0.0589205
"second person"	0.0588692
Golding	0.0588291
DEP	0.0587897
Soares	0.058743
DiCarlo	0.0586159
Bucaram	0.0585968
Mahomes	0.0585752
Reilly	0.0585694
Haughey	0.0585573
Torricelli	0.0584905
"Glen Sather"	0.0584345
Kerrey	0.0584143
Aliyev	0.0583759
Haouari	0.0582629
Dingell	0.058115
Mukora	0.0579228
"Tony Coelho"	0.057912
BJP	0.057448
Hynes	0.0574472
leeson	0.0573575
Sherrill	0.0572789
McIntosh	0.0572199
Dawkins	0.0571718
Sarid	0.0568347
"Al D'Amato"	0.0567878
Galindo	0.0567867
Rawabdeh	0.056759
Sather	0.0566972
Schott	0.0566003
Hagelin	0.0565803
OCA	0.0563392
Krone	0.0562153
))
(bunny (desc 11139.1) (sims
rabbit	0.101439
"teddy bear"	0.0975903
CAT	0.0803674
"Easter bunny"	0.0784554
hedgehog	0.0738387
puppy	0.0727329
alligator	0.0699997
poodle	0.0695757
turtle	0.068618
Centerfold	0.0685656
kangaroo	0.0679721
monkey	0.0664799
squirrel	0.0659827
pig	0.0658702
kitten	0.0656263
moose	0.0644547
frog	0.0642511
critters	0.0642178
critter	0.0634007
hamster	0.0631132
rooster	0.0628901
doll	0.0618745
Pony	0.0617579
lizard	0.0602311
"polar bear"	0.0584863
Bumblebee	0.0575439
pajama	0.05751
"Donald duck"	0.0571246
clown	0.0571104
raccoon	0.0570013
snake	0.0569401
deer	0.0567739
spider	0.0565623
pigeon	0.0559302
geese	0.0557192
gerbil	0.0549162
bum	0.0541047
rat	0.0538139
"old lady"	0.0537694
"Little Dog"	0.0536243
swan	0.052098
carnation	0.0513332
"Mickey mouse"	0.0512051
hummingbird	0.0508586
"Easter egg"	0.0504708
goat	0.0502204
tortoise	0.0501454
mice	0.0501258
"Labrador retriever"	0.0499098
zebra	0.049835
"Bengal tiger"	0.0497942
peacock	0.0497469
butterfly	0.0497044
koala	0.0494655
parrot	0.0492765
"Beanie Baby"	0.0492207
pumpkin	0.0490738
mermaid	0.0489872
grandkids	0.0487921
blonde	0.0487703
sock	0.0486651
candy	0.0486179
elephant	0.0483807
bathrobe	0.0481604
Dinosaur	0.0479931
porpoise	0.0479762
mule	0.0479418
Superman	0.0476725
crocodile	0.0476703
parakeet	0.0474895
zeppelin	0.0473942
"little girl"	0.04696
cow	0.0469173
pinwheel	0.0468558
pillow	0.0467037
beaver	0.0466558
"jelly bean"	0.0465471
"belly dancer"	0.046476
giraffe	0.0462532
dragon	0.0461197
donkey	0.04586
slob	0.0457655
pet	0.0457521
crab	0.0456626
"sea turtle"	0.0449915
babe	0.0449372
"fishing rod"	0.0448925
wimp	0.0448553
mole	0.0448306
creature	0.0447805
otter	0.0447468
panda	0.0447078
salamander	0.0442761
pooch	0.044185
mascot	0.043961
candle	0.0436651
"black cat"	0.0434615
"little boy"	0.0432052
poinsettia	0.042878
iguana	0.042875
lamb	0.0427003
whale	0.0426778
rosary	0.0426168
jock	0.0425999
playmate	0.0425161
tyke	0.0425157
sheep	0.0424787
crucifix	0.0423365
hare	0.0422629
Bonnet	0.0420753
dolphin	0.0420659
Beehive	0.0418356
Barbie	0.0417971
cowgirl	0.0417287
canine	0.0417229
gorilla	0.0415531
loon	0.0414994
redneck	0.0414573
fella	0.0414563
ant	0.0413096
extraterrestrial	0.0411429
"guinea pig"	0.0411231
goose	0.0411138
lion	0.0406885
heron	0.0406824
chick	0.0406559
pup	0.0405444
baboon	0.0404774
mite	0.0404685
possum	0.0404683
tulip	0.0404448
monster	0.0404426
frosting	0.0404117
bee	0.0401745
parachutist	0.0401471
Labrador	0.0401141
))
(buns (desc 1715.47) (sims
bun	0.105161
dumpling	0.0856799
"vegetable soup"	0.0854509
birdbath	0.0682279
"macaroni and cheese"	0.057769
TOMATOES	0.0572391
dumplings	0.0572126
brie	0.0563232
"pie crust"	0.0556924
pastry	0.054867
"potato salad"	0.05485
"chicken wing"	0.0544943
omelette	0.0538311
mussel	0.0535643
"pumpkin pie"	0.0524605
"red snapper"	0.0516816
flipper	0.0515966
"white rice"	0.0506796
matzoh	0.050581
scone	0.0504944
confit	0.0504389
gnocchi	0.0497818
"fruit salad"	0.0491705
Topping	0.0485104
taco	0.0482569
"Vidalia onion"	0.0482412
TARTARE	0.0480764
veggie	0.0475973
"pie shell"	0.0474434
ravioli	0.0472551
porridge	0.0470438
tails	0.0468116
halibut	0.0468016
"tortilla chip"	0.0465717
"cream puff"	0.0465265
macaroni	0.0463869
Casserole	0.0463731
"French bread"	0.0459633
liquidator	0.0459554
"French toast"	0.0456228
"meat loaf"	0.0456065
"french fries"	0.0453103
croutons	0.0450523
"vanilla ice cream"	0.0446441
bisque	0.0443388
gumbo	0.0443178
"scrambled egg"	0.0439709
fettuccine	0.043666
croissant	0.0429617
flapper	0.0427772
ragout	0.0427586
marshmallow	0.042755
tortellini	0.0422906
muffin	0.0422127
grits	0.0420474
"about @,@@@ tons"	0.0416901
turnip	0.0416536
"golf bag"	0.0411858
quesadillas	0.0410774
"chicken salad"	0.0409495
terrine	0.0409481
joysticks	0.0407065
brioche	0.0400657
))
(bunt (desc 16768.4) (sims
grounder	0.254918
"wild pitch"	0.199037
groundout	0.193656
"ground ball"	0.191826
"sacrifice fly"	0.187641
single	0.173361
"fly ball"	0.170022
double	0.160381
"base hit"	0.151319
"line drive"	0.141561
"solo homer"	0.140566
homer	0.133031
two-out	0.131707
pickoff	0.12691
triple	0.12636
"double play"	0.113266
"home run"	0.109343
error	0.106732
popup	0.106332
one-out	0.106107
infield	0.10609
liner	0.105381
chopper	0.10525
groundouts	0.101876
strikeout	0.101791
comebacker	0.0982079
"unearned run"	0.0943157
"pop fly"	0.0888089
bloop	0.0877941
fastball	0.0819288
RBI	0.0816606
Sacrifice	0.0816292
"second homer"	0.0797553
"grand slam"	0.0794504
dribbler	0.079276
bouncer	0.0764015
"screen pass"	0.0740038
roller	0.0729973
blooper	0.0726153
slider	0.072064
doubles	0.0701071
"foul ball"	0.0690908
"Andruw Jones"	0.0686729
"breaking ball"	0.0658759
"third homer"	0.0646295
glove	0.0643203
outs	0.0624339
curveball	0.062112
"two homers"	0.0611431
"seventh homer"	0.0606112
singles	0.0596831
fourth-down	0.0595718
Tapper	0.0595263
"first and third"	0.0593108
hit-and-run	0.0589505
"fifth homer"	0.0584822
leadoff	0.0578821
"Nomar Garciaparra"	0.0578668
at-bat	0.0578229
"Chipper Jones"	0.0573527
backhand	0.0568492
"Ryan Klesko"	0.056296
"first homer"	0.0558661
"Troy O'Leary"	0.0554138
forehand	0.055385
"Tim Salmon"	0.0552466
putback	0.0551978
changeup	0.0551697
"right field"	0.0549617
"second base"	0.0547453
"Gerald Williams"	0.0544893
"four homers"	0.0539132
"Edgardo Alfonzo"	0.0528668
left-center	0.0524278
"Carl Everett"	0.0519409
baserunners	0.0504811
"three homers"	0.0500035
"John Valentin"	0.0499372
"left field"	0.0497359
one-hopper	0.0496597
lob	0.0495203
punt	0.0494434
"Jorge Posada"	0.0493511
batsman	0.0493447
layups	0.0490488
"Jose Offerman"	0.0490355
"leading off"	0.0489023
Offerman	0.0488773
lateral	0.0487223
handoff	0.0486754
"free throw"	0.0484108
"first and second"	0.0480375
"Jay Payton"	0.0478959
"first base"	0.0478251
swinging	0.0476027
dunk	0.0474209
"Luis Castillo"	0.0473792
blunder	0.0472984
"free kick"	0.0471924
"center field"	0.046969
miscue	0.0469343
layup	0.0468713
"Hail Mary"	0.0467307
baserunner	0.0459346
"David Bell"	0.0457789
"Bernie Williams"	0.0452075
"Eric Young"	0.0451554
backhander	0.0447015
runner	0.0446294
pop-up	0.0446177
Jeter	0.0445409
header	0.0441238
batsmen	0.0438946
"Tino Martinez"	0.0438924
"field goal"	0.043851
"Adrian Beltre"	0.0437573
"second and third"	0.0436234
"Mike Cameron"	0.0435857
"Bret Boone"	0.0435543
"Rusty Greer"	0.0428891
"Scott Brosius"	0.0425429
deflection	0.0422818
"corner kick"	0.0422497
"base runner"	0.0422219
"foul shot"	0.0420995
"Brian Daubach"	0.0420486
"Chuck Knoblauch"	0.0420054
"passing shot"	0.0419403
"Melvin Mora"	0.0418711
"Todd Pratt"	0.0415831
"Orlando Palmeiro"	0.0415349
"Mark Grudzielanek"	0.0412812
"earned run"	0.0410743
"Quilvio Veras"	0.0410723
"third base"	0.0408811
"Lenny Harris"	0.0406903
Karros	0.040635
third-down	0.0405665
lutz	0.0404008
"Jim Leyritz"	0.0401451
))
(bunting (desc 4729.1) (sims
streamer	0.240164
banner	0.150743
lantern	0.140594
ribbon	0.137969
"black flag"	0.124906
"national flag"	0.12287
confetti	0.120125
placard	0.115082
garland	0.114685
pompom	0.110656
balloon	0.10821
tablecloth	0.102641
scarf	0.101011
wreath	0.0941763
poster	0.0906321
"blue ribbon"	0.0897587
neon	0.0858863
shawl	0.084216
windbreaker	0.0816316
"prayer shawl"	0.0811734
"teddy bear"	0.0799132
sticker	0.0794733
purple	0.0782512
Sari	0.0771297
tarp	0.0768052
vestment	0.0765562
bandana	0.076246
bead	0.0761479
Sash	0.0758719
velvet	0.075223
swastika	0.0742943
netting	0.0721483
searchlight	0.0717898
"Star of David"	0.0715196
armband	0.0707886
robe	0.0705784
shroud	0.0705301
stripe	0.0699381
crucifix	0.0698231
decoration	0.0696767
T-shirt	0.0692856
lamp	0.0680093
lettering	0.0678808
jersey	0.0678601
headband	0.0673381
sequin	0.0671405
cloak	0.0665011
insignia	0.0664862
rug	0.0663894
"white flag"	0.0663782
corduroy	0.0663308
curtain	0.0660553
logo	0.0659494
bandanna	0.0654039
"tissue paper"	0.0654038
turban	0.06526
Cape	0.0648485
billboard	0.0647909
linen	0.064633
plaque	0.0644006
handbill	0.0642034
"street sign"	0.063925
beret	0.0636005
jumpsuit	0.0629689
ornament	0.0626868
noisemaker	0.0622968
effigy	0.0622786
candle	0.0620444
carnation	0.0614324
finery	0.0613169
silk	0.0612552
Lei	0.0609089
emblem	0.0608797
quilt	0.060854
necklace	0.0607296
wristband	0.0603642
"cowboy hat"	0.0596785
tattoo	0.0591384
smock	0.0589397
non-whites	0.0587846
legging	0.058534
gown	0.0584437
tarpaulin	0.0580603
badge	0.0575605
pinstripes	0.0574343
hue	0.0574302
"birthday cake"	0.0573889
scroll	0.0572242
mural	0.057167
"wall painting"	0.0569058
bouquet	0.0565463
snowflake	0.0560484
leaflet	0.0555932
sock	0.0553944
"feather boa"	0.0549778
bedspread	0.0549554
vest	0.0549429
"baseball cap"	0.0548393
signboard	0.0542803
carpeting	0.0541143
towel	0.0540216
apron	0.0538914
"license plate"	0.0536984
"coat of arms"	0.0534646
scrim	0.0534192
"cowboy boot"	0.0533935
"food coloring"	0.0533849
"top hat"	0.0533439
knickers	0.053315
chandelier	0.0531733
garb	0.0530951
"shopping bag"	0.0530842
overcoat	0.0530091
mosaic	0.0529679
sweatshirt	0.0529005
toenail	0.0528059
sweater	0.0526238
veil	0.0525536
stitching	0.0525435
"water fountain"	0.0524339
Poncho	0.0522329
vine	0.0520032
Crescent	0.05189
tapestry	0.0518844
satin	0.0517257
yarmulke	0.0513256
tricolor	0.0510677
vase	0.0510425
gouache	0.0509737
knapsack	0.0509445
"piece of cloth"	0.0508527
"boxing glove"	0.0505942
tile	0.0504937
tassel	0.050487
comforter	0.0503394
glitter	0.0502615
"pants suit"	0.0501315
sprinkles	0.0500547
lilac	0.0500223
shingles	0.049953
rosary	0.0499356
"gold leaf"	0.0497124
icicle	0.0496896
"sport shirt"	0.049549
headdress	0.0495115
pinata	0.0495058
"storm cloud"	0.0494814
Bonnet	0.0493616
"extension cord"	0.0493042
denim	0.0491013
necktie	0.0490168
"dog tag"	0.0489185
burlap	0.0489179
cellophane	0.048848
blotch	0.0488427
graffiti	0.0487232
"ball gown"	0.0485617
enamel	0.0485612
"Beanie Baby"	0.0485154
tinsel	0.0485139
"business suit"	0.0485104
marker	0.0484464
waistcoat	0.0481842
chalice	0.048165
"leather jacket"	0.0481481
poinsettia	0.0480419
wrapper	0.0478663
Pottery	0.0477755
paraphernalia	0.0477694
turtleneck	0.0477676
plume	0.0477362
wig	0.0477066
icing	0.0477032
decal	0.0476434
bedsheets	0.0475877
slack	0.0475204
splotch	0.0474556
eyeliner	0.0474327
pigment	0.0473113
"rain cloud"	0.046845
"bed sheet"	0.0467646
berry	0.046754
Play-Doh	0.0467142
"Lincoln Town Car"	0.0466988
feather	0.0466879
"Stars and Stripes"	0.0466864
artwork	0.0465826
"sweat pants"	0.0463733
pansy	0.0463667
"yellow flag"	0.0463308
umbrella	0.0461626
greenery	0.0460782
vas	0.0460035
Finney	0.046002
stucco	0.0459416
abalone	0.0457514
undershirt	0.0457497
blimp	0.0455933
"stained-glass window"	0.0455475
Ruehe	0.0454574
))
(buoy (desc 4238.56) (sims
sensor	0.0933416
"life raft"	0.0842712
transmitter	0.0839746
"radio transmitter"	0.0784608
"drilling rig"	0.074903
"man's body"	0.0719288
"oil rig"	0.0676417
radar	0.0676285
stanchion	0.0652656
"radio telescope"	0.0646893
antenna	0.0641607
powerboat	0.0634431
electrode	0.0620163
porthole	0.0619226
"mobile home"	0.0615865
transponder	0.0594072
thermometer	0.0589005
"spy satellite"	0.0587999
manhole	0.0582878
heliport	0.0582365
defibrillators	0.0581088
spacecraft	0.0580079
"catalytic converter"	0.0570875
"woman's body"	0.0568117
pontoon	0.056023
"fiber optic cable"	0.0557684
supercomputers	0.0552189
tracer	0.0543759
"life vest"	0.0539924
parasol	0.0535984
"paper cup"	0.0535337
"electrical device"	0.0529578
"trial balloon"	0.0528644
webcams	0.0528415
scanner	0.0521558
"black box"	0.0521512
barge	0.0521422
submarine	0.0521041
sailboat	0.0519862
"extension cord"	0.0516945
recorder	0.0514871
radioactivity	0.0512441
"communications satellite"	0.0511595
yacht	0.0511495
analyzer	0.0511427
defibrillator	0.0510426
superhighway	0.0508499
detector	0.0506419
sonar	0.050221
"meteorological satellite"	0.0491427
"laptop computer"	0.0490422
"septic tank"	0.0490242
observatory	0.0490186
"automated teller machine"	0.0488135
submersible	0.0485971
three-pointers	0.0485092
"point system"	0.0483219
"beam of light"	0.0482799
"dead body"	0.0480788
blotch	0.0479531
trawler	0.047934
beacon	0.0477347
lifeboat	0.0476075
"robbery suspect"	0.0475096
"shopping cart"	0.0473652
"ventilation system"	0.0473134
"cash machine"	0.0472929
"life jacket"	0.0472611
"utility program"	0.0471185
"satellite receiver"	0.0468589
pinkie	0.0467894
"ice floe"	0.0466822
grout	0.046488
speedboat	0.0464783
"explosive device"	0.046065
earpiece	0.0460003
harvester	0.0457203
Webcam	0.0456827
"traffic circle"	0.0456508
jetty	0.0455586
dinghy	0.0453817
altimeter	0.0449188
spectrometer	0.0446352
"global positioning system"	0.044606
contraption	0.0445537
Robot	0.0443354
sandbar	0.0443312
"water line"	0.0440336
ADSL	0.044005
"landing strip"	0.0437867
"sea lane"	0.043571
crosse	0.0433718
"vending machine"	0.0432022
"patrol boat"	0.0430464
Lighthouse	0.0429857
frontlines	0.0426792
spotter	0.0425485
"military vehicle"	0.0424612
microphone	0.0423458
"guided missile"	0.0422447
"golden eagle"	0.0421723
parachute	0.04216
"slip of paper"	0.0421363
"body part"	0.0420855
stylus	0.0420832
porpoise	0.0420772
scalpers	0.0420587
telescope	0.0419441
rowboat	0.0418653
scaffold	0.0417617
workstation	0.0416896
"hydrogen bomb"	0.0415581
timer	0.0415301
kayak	0.0415244
"life form"	0.0413636
"shuttle bus"	0.0413334
"inner tube"	0.0413305
lode	0.0413141
"political detainee"	0.0412319
"cargo vessel"	0.0412033
gasket	0.0410779
Bigfoot	0.0410752
transformer	0.0410572
chute	0.041024
culvert	0.0409685
"human waste"	0.0409328
"second unit"	0.040926
carnivore	0.0408539
circuitry	0.0408222
"communications equipment"	0.0408057
"control system"	0.0406936
"coaxial cable"	0.0406516
louver	0.0405981
"seat cushion"	0.0405449
"cellular telephone"	0.040509
Win@@	0.0405018
"water jug"	0.0404396
pacemaker	0.0403793
"accounting problem"	0.0403399
"power unit"	0.0402125
fleck	0.0401748
"oil slick"	0.0401592
"command post"	0.040159
pier	0.040123
"observation post"	0.0401168
"piece of furniture"	0.0400966
nunnery	0.0400661
"million over five years"	0.0400584
"medical specialist"	0.0400177
saucer	0.040001
))
(buoyancy (desc 3599.51) (sims
uptrend	0.139225
sluggishness	0.129803
upturn	0.125606
resilience	0.120932
dynamism	0.119682
downslide	0.11385
bullishness	0.110167
downtrend	0.108261
deceleration	0.106628
"Bull Run"	0.102856
gyration	0.100292
volatility	0.0955614
resurgence	0.0931342
softness	0.0919896
explosiveness	0.0907774
stamina	0.0895935
weakening	0.0892165
resiliency	0.0881106
"rapid growth"	0.0875193
competitiveness	0.0870248
vitality	0.0855003
liberalisation	0.0854183
vigor	0.0854156
overvaluation	0.0846935
vibrancy	0.0838809
overheating	0.0837784
contraction	0.0834122
downturn	0.0833343
softening	0.0831735
skittishness	0.0827042
"price pressure"	0.0812853
breadth	0.0802485
uptick	0.0799787
outperformance	0.0794147
"rate of growth"	0.0787465
slowdown	0.0775283
agility	0.0773093
spontaneity	0.0769644
slackening	0.076937
fragility	0.076534
downdraft	0.0764291
"investor confidence"	0.07607
liquidity	0.0759475
weakness	0.0757394
exuberance	0.0747843
shrinkage	0.0746955
quickness	0.0740189
diversification	0.0733766
calmness	0.0730568
downturns	0.0720912
fluidity	0.0720325
fluctuation	0.0718234
attractiveness	0.0705123
upsurge	0.0704828
ebullience	0.0699403
"investor interest"	0.069644
Openness	0.0696198
malaise	0.0695589
oomph	0.0692871
potency	0.0691669
nervousness	0.068938
mobility	0.0687681
flexibility	0.0686369
complementarity	0.0683083
stabilization	0.0681889
liveliness	0.0678277
maneuverability	0.0675513
transparency	0.0672633
lightness	0.0667748
stagnation	0.0662214
fortitude	0.065659
acceleration	0.0654042
deterioration	0.0652226
upswing	0.0649477
swoon	0.0641314
warmth	0.0640056
soundness	0.063649
wariness	0.0632008
decisiveness	0.0628185
eagerness	0.0625222
weightings	0.0625087
durability	0.0624828
elasticity	0.0622865
boldness	0.0622302
unanimity	0.0620977
sophistication	0.062089
sell-off	0.0617879
specificity	0.0614724
dominance	0.0612392
Presense	0.0611844
traction	0.0611287
turnaround	0.060888
jitters	0.0607178
wherewithal	0.060675
slippage	0.0605222
originality	0.0604141
divergence	0.060383
"nose dive"	0.0601113
freefall	0.0600351
"drawing power"	0.0599684
runup	0.059703
turbulence	0.0596737
valuation	0.0596011
"competitive advantage"	0.059207
"good fortune"	0.0590309
solidity	0.0590271
wattage	0.0589152
"about one percent"	0.0588799
oversupply	0.0587437
slowing	0.0587159
"sense of balance"	0.0586836
aggressiveness	0.0586449
athleticism	0.0586003
macro-control	0.0585852
globalisation	0.0583533
susceptibility	0.0583408
assertiveness	0.0582358
luster	0.0580241
travail	0.0580041
cohesion	0.0579864
tightness	0.0579361
tumult	0.057779
reactivation	0.0576448
stimulus	0.056975
rejuvenation	0.0567088
sell-offs	0.0566787
dexterity	0.0565077
pizazz	0.0564311
freshness	0.0563315
variability	0.0561093
"staying power"	0.0560813
potentiality	0.0559418
lethargy	0.0559148
rapport	0.0558378
velocity	0.0555226
cooling	0.0553446
cachet	0.0553305
composure	0.0552208
deftness	0.0552111
pessimism	0.05505
fizz	0.0549873
crispness	0.0549282
profitability	0.0547311
internationalization	0.0545645
weighting	0.054437
selloff	0.0542512
pervasiveness	0.0542445
instability	0.0537069
"economic value"	0.053603
self-control	0.0535876
bravery	0.0533631
depreciation	0.0532481
regionalization	0.0531854
purity	0.0530965
rebirth	0.053068
equilibrium	0.052886
meltdown	0.052876
Correction	0.0527708
ballast	0.0526382
"good will"	0.0525465
reversal	0.0523703
clout	0.0522126
coherence	0.0520637
macro-economy	0.0520309
near-monopoly	0.0519397
"growth prospect"	0.0519228
firmness	0.0518642
misanthropy	0.051737
"reaction time"	0.0516926
cleverness	0.0516733
verisimilitude	0.0514935
capitalization	0.0514874
broadening	0.0514265
heft	0.0511704
implosion	0.0510489
restlessness	0.0510132
polarization	0.0509841
reflex	0.0508435
self-confidence	0.0507531
Liberalization	0.0505765
barometer	0.0505601
flair	0.0505259
versatility	0.0503922
fragmentation	0.0503523
magnificence	0.0502846
virility	0.0500868
distinctiveness	0.0498721
rigidity	0.0498426
"offer price"	0.0498245
clarity	0.0498042
unease	0.0498041
imbalance	0.049779
overcapacity	0.0497182
battering	0.0496303
"investment climate"	0.049407
consistency	0.0493784
depletion	0.0491943
guile	0.0491022
sustainability	0.0491008
supremacy	0.0490505
))
(Burba (desc 1318.81) (sims
Mahomes	0.244075
Trachsel	0.239541
Lieber	0.230173
Heredia	0.217183
Suppan	0.215851
Mlicki	0.213462
Rusch	0.20274
Checo	0.197861
Bohanon	0.196317
Rapp	0.189993
Hentgen	0.189698
Tapani	0.188501
Harnisch	0.185981
Fassero	0.179159
Bottenfield	0.178236
Schoeneweis	0.178083
Dotel	0.175744
"Russ Springer"	0.173535
Herges	0.171033
Eldred	0.16766
Loaiza	0.165962
Astacio	0.165366
Nagy	0.164541
Perisho	0.163163
Yoshii	0.161173
Pavano	0.161054
Schourek	0.160489
Belcher	0.160298
Arrojo	0.160217
Reynoso	0.160117
Tomko	0.159619
"Brian Moehler"	0.157386
Gagne	0.15719
Cormier	0.157144
Paniagua	0.157012
Radke	0.1565
Etherton	0.156182
Mercker	0.15581
Bere	0.154752
Borbon	0.153147
Petkovsek	0.152768
Hermanson	0.152289
Mussina	0.151734
"Paul Abbott"	0.151373
Vazquez	0.150814
Saberhagen	0.150215
"Byung-Hyun Kim"	0.149839
Wickman	0.149636
D'Amico	0.148111
"Chris Carpenter"	0.14714
Daal	0.146776
Halama	0.145177
"Russ Ortiz"	0.14483
"Bryce Florie"	0.144809
Moehler	0.14467
Osuna	0.144098
Sele	0.144006
Rueter	0.14346
Millwood	0.140831
Helling	0.138423
"Paul Shuey"	0.138156
Haynes	0.138082
Kile	0.137453
Moyer	0.137415
Burkett	0.136402
Cloude	0.135611
Meche	0.135133
"Jaret Wright"	0.134227
"Kirk Rueter"	0.133645
Parris	0.133624
"Steve Sparks"	0.133551
Hershiser	0.133496
"Ken Cloude"	0.133178
"Jason Schmidt"	0.132699
Ankiel	0.131189
Dempster	0.131131
Erickson	0.130246
"Jim Parque"	0.130009
Wakefield	0.129822
"BRIAN MEADOWS"	0.128063
"Mike Sirotka"	0.127608
Grimsley	0.127272
"Dan Miceli"	0.127268
"Woody Williams"	0.126996
"Jesus Sanchez"	0.126702
Wohlers	0.126133
"Dave Burba"	0.125361
Candiotti	0.125179
Elarton	0.124274
Radinsky	0.123983
"Ron Villone"	0.122982
Mantei	0.122882
Nen	0.121939
Contreras	0.120332
"Pedro Astacio"	0.120097
"Robb Nen"	0.11985
"Dustin Hermanson"	0.11982
Irabu	0.1197
"Pat Rapp"	0.119191
Dreifort	0.118766
"John Burkett"	0.118366
Yarnall	0.117942
Leiter	0.117825
Smoltz	0.117397
"Pat Mahomes"	0.117388
Gooden	0.117309
Mulholland	0.117205
"Rich Garces"	0.117171
"Jon Lieber"	0.117043
Benes	0.116559
Crabtree	0.116321
Stottlemyre	0.115692
"Jeff Weaver"	0.115668
Stephenson	0.115125
"Danny Graves"	0.115092
Appier	0.114909
Percival	0.114727
"Jason Bere"	0.114288
"Mark Gardner"	0.113843
"Kent Mercker"	0.113427
"Eric Milton"	0.11315
Washburn	0.112937
"Dave Mlicki"	0.112852
"Terry Mulholland"	0.11256
"Shigetoshi Hasegawa"	0.112381
"Mark Petkovsek"	0.112
Valdes	0.111524
"Turk Wendell"	0.111379
"Gil Heredia"	0.111165
"Bartolo Colon"	0.111005
Pettitte	0.110908
Olivares	0.110365
Wendell	0.110077
Masaoka	0.109791
"John Snyder"	0.109097
Woodard	0.109027
Mendoza	0.108383
McMichael	0.108026
"Mark Guthrie"	0.107692
Langston	0.107628
Garces	0.107442
Dickson	0.107158
"Mike Remlinger"	0.106564
"Javier Vazquez"	0.10651
"Matt Mantei"	0.106467
Neagle	0.106049
"Brad Penny"	0.105465
"Todd Jones"	0.105075
"Ugueth Urbina"	0.104802
"Armando Reynoso"	0.104444
Meadows	0.104047
"Jason Christiansen"	0.10396
"Pete Harnisch"	0.103912
"Jose Jimenez"	0.10354
Nomo	0.103172
"Charles Nagy"	0.10292
"Steve Trachsel"	0.102886
Brantley	0.102603
"Bob Wickman"	0.102585
"Kazuhiro Sasaki"	0.102128
"Kevin Tapani"	0.102012
"Tom Candiotti"	0.101706
"Jamie Moyer"	0.101559
"Orel Hershiser"	0.101255
Cordova	0.100765
estes	0.100188
"STEVE WOODARD"	0.100088
Ligtenberg	0.10008
"Troy Percival"	0.100001
"Darren Oliver"	0.0996996
"Dennis Cook"	0.0996522
"Rick Reed"	0.0996372
Remlinger	0.099306
Baldwin	0.099046
Wasdin	0.0989745
Glavine	0.0989
"Scott Karl"	0.0988849
Isringhausen	0.0972919
"Paul Byrd"	0.0971711
Ortiz	0.0969584
Glynn	0.0969252
"Rick Aguilera"	0.0967396
"Mariano Rivera"	0.0964736
"Brad Radke"	0.0964309
"Jamey Wright"	0.0962814
"Shawn Estes"	0.096223
Swindell	0.0961817
"Ramon Martinez"	0.0960772
"Bret Saberhagen"	0.0959615
"Mike Stanton"	0.0958784
"Shane Reynolds"	0.0958665
"Matt Morris"	0.0956395
"Ramiro Mendoza"	0.0955573
Finley	0.0955318
Benitez	0.0952684
Sehorn	0.0952463
Bergman	0.0952237
"Francisco Cordova"	0.0947841
"Rick White"	0.0946829
"Jose Mesa"	0.0945892
))
(Burbank (desc 8450.11) (sims
Encino	0.19929
"Van Nuys"	0.186383
"Sherman Oaks"	0.181532
Reseda	0.176605
"Studio City"	0.174456
Glendale	0.166473
"North Hollywood"	0.161039
"Culver City"	0.160897
"Woodland Hills"	0.158374
Chatsworth	0.156224
"Santa Clarita"	0.15399
Torrance	0.151163
Pasadena	0.149111
"Santa Monica"	0.146892
"El Segundo"	0.141193
"Simi Valley"	0.134126
"Westlake Village"	0.131506
"Granada Hills"	0.128556
"West Hollywood"	0.128398
Tempe	0.125608
Alpharetta	0.124362
Inglewood	0.122414
Emeryville	0.120866
"Thousand Oaks"	0.118456
Calabasas	0.11553
"Palo Alto"	0.115093
"Manhattan Beach"	0.11496
Cupertino	0.11489
"San Fernando"	0.11408
Camarillo	0.113976
Palmdale	0.112816
"Century City"	0.11221
Tarzana	0.111749
"Beverly Hills"	0.108718
Bakersfield	0.108007
Sausalito	0.107228
Englewood	0.106926
riverside	0.106469
Sunnyvale	0.106048
Alameda	0.104817
"Walnut Creek"	0.104067
"La Jolla"	0.104036
"Overland Park"	0.104019
"South San Francisco"	0.103983
Peoria	0.102602
Dearborn	0.101946
Fremont	0.100439
"Mountain View"	0.100436
"Santa Clara"	0.100318
CARSON	0.0994749
"Santa Rosa"	0.0989039
Oxnard	0.0982528
Berkeley	0.0979471
"West Palm Beach"	0.0977457
"Huntington Beach"	0.0975155
"Newport Beach"	0.0970099
Norcross	0.0969982
Minneapolis	0.0968366
Danville	0.0967853
"San Fernando Valley"	0.0965931
"San Rafael"	0.0960046
Malibu	0.0959649
Stamford	0.0952962
"Boca Raton"	0.0952216
LAKEWOOD	0.0949575
Wilmington	0.0948302
"East Orange"	0.0944334
"Long Beach"	0.0936498
Scottsdale	0.0932843
"San Mateo"	0.0919356
Newark	0.0917897
Fairfield	0.0914541
Irvine	0.0906374
"Fort Lauderdale"	0.089446
"Los Angeles"	0.0893646
Northridge	0.0892
"Santa Barbara"	0.0886923
"Palm Springs"	0.0885577
"Jersey City"	0.0884511
Honolulu	0.0884154
Modesto	0.0879961
"New Rochelle"	0.0877518
Fresno	0.0875558
Rochester	0.0874947
Raleigh	0.087358
"Mission Viejo"	0.0873243
"Midtown Manhattan"	0.0871858
Lancaster	0.0871499
Brentwood	0.0871435
"San Francisco"	0.0863778
"Orange County"	0.0860419
Pacoima	0.0853422
Greenville	0.0850739
"White Plains"	0.0846941
Duluth	0.0846547
"Redwood City"	0.0842545
Quincy	0.0842481
Carlsbad	0.0840705
Carmel	0.0840649
"Santa Ana"	0.0840364
Birmingham	0.0839572
Cambridge	0.0836877
"Marin County"	0.0836829
"Fort Worth"	0.0836683
Westport	0.0833338
Worcester	0.0831191
"San Jose"	0.0828369
Vallejo	0.0825971
Burlingame	0.0821964
Albuquerque	0.0821714
"Colorado Springs"	0.0821003
"Menlo Park"	0.0819587
"Fort Lee"	0.0819329
Bethesda	0.0817183
Greenwich	0.0811955
"Little Rock"	0.0807751
"Des Moines"	0.0799381
"Mill Valley"	0.0797572
Plano	0.079166
Medford	0.0791135
Louisville	0.079077
"San Luis Obispo"	0.0790072
Eureka	0.07868
Petaluma	0.0785922
Marietta	0.0784611
Spokane	0.0782995
"Round Rock"	0.0780895
Richmond	0.0780757
Tijuana	0.0779438
Phoenix	0.0777488
"East Hampton"	0.0774406
Greensboro	0.0771472
"Cobb County"	0.0769956
Reston	0.0769143
Chappaqua	0.0766572
oceanside	0.0766547
Manchester	0.0766351
Nashville	0.0762009
Charleston	0.0761302
Naperville	0.0759752
"Greenwich Village"	0.0759273
"Westchester County"	0.0759099
Waltham	0.0759071
"Silver Spring"	0.0750837
Dulles	0.0750493
Suwanee	0.0750382
Savannah	0.0746025
Needham	0.0745302
Watertown	0.0744758
Claremont	0.0743557
Wichita	0.0740374
Mesa	0.0739764
Monterey	0.0737853
Brooklyn	0.0736472
Stockbridge	0.073545
Amherst	0.0735072
Westwood	0.0733088
CHENGDU	0.0732836
"Pacific Palisades"	0.0731277
Arlington	0.0731114
TRENTON	0.0730904
Kingston	0.073023
"Oklahoma City"	0.0728808
Sacramento	0.0728355
"El Paso"	0.0726674
Tucson	0.0726645
Hartford	0.0726217
"Kansas City"	0.0723493
"Santa Cruz"	0.072338
"San Diego"	0.0720994
"Delray Beach"	0.0720717
Memphis	0.0720018
"Santa Clara County"	0.0714938
"West Los Angeles"	0.0714187
Columbus	0.0711373
Tampa	0.071113
"Santo Domingo"	0.0710727
Smyrna	0.0706713
Albany	0.0704773
Burlington	0.0704693
Bellevue	0.0704666
Lexington	0.0703259
Bridgeport	0.070225
Decatur	0.0701055
Omaha	0.0700277
Ojai	0.0698866
"New York City"	0.06983
Manhattan	0.069797
Concord	0.0697373
Bedford	0.0696858
Soho	0.0696439
"Rockefeller Center"	0.0695923
Pittsfield	0.069456
BOGOTA	0.0692186
Orlando	0.0691142
Sevastopol	0.0690477
Clearwater	0.0690467
Sarasota	0.0690046
Tribeca	0.0687435
Poughkeepsie	0.0686461
))
(Burberry (desc 1365.4) (sims
Chanel	0.108684
Dior	0.106363
tartan	0.100364
Ferragamo	0.099683
Fendi	0.0980265
"J. Crew"	0.0882541
Celine	0.0822105
Prada	0.0821199
"Pottery Barn"	0.079735
Gucci	0.0796027
"Louis Vuitton"	0.078945
HERMES	0.0761909
"Saint Laurent"	0.0759029
Versace	0.0754493
mohair	0.0703858
duster	0.0691804
Armani	0.0658455
"Old Navy"	0.0617552
DKNY	0.0614792
tweed	0.0589649
"Neiman Marcus"	0.0586571
"Fred Meyer"	0.0582075
menswear	0.0568296
Barneys	0.054351
Levi's	0.054183
Tiffany	0.0520311
"Volkswagen Beetle"	0.0516386
"Calvin Klein"	0.0512117
Metreon	0.0509066
LVMH	0.0504858
"Michael Kors"	0.0499383
Domino's	0.0493217
Karan	0.0486354
"Dolce &AMP; Gabbana"	0.0477628
Forty-four	0.047747
Ikea	0.0475667
Renta	0.0474727
hosiery	0.0472652
Cartier	0.0471433
"Old World"	0.0465879
"Sharper Image"	0.0452317
"parliamentary democracy"	0.0448634
plaid	0.04486
"Abercrombie &AMP; Fitch"	0.0448207
CVS	0.0445835
"Donna Karan"	0.0445823
HILFIGER	0.044245
"Saks Fifth Avenue"	0.0427528
"Giorgio Armani"	0.0427019
outerwear	0.0425743
"Barneys New York"	0.0422604
"Brooks Brothers"	0.0419727
Kroger	0.0416146
"powder blue"	0.0411961
Woolworth	0.0411847
"Helmut Lang"	0.0410804
Miyake	0.0409099
Benetton	0.0408632
AutoNation	0.040709
"Banana Republic"	0.040655
China.com	0.0401325
))
(burden (desc 66794.2) (sims
pressure	0.145915
hardship	0.143929
impact	0.142252
cost	0.13593
debt	0.128331
constraint	0.120978
liability	0.120354
problem	0.118475
responsibility	0.11727
consequence	0.115645
stress	0.115465
difficulty	0.115265
load	0.113192
risk	0.110552
dependence	0.109938
"debt load"	0.109792
effect	0.108979
restriction	0.108223
workload	0.108081
unemployment	0.106581
tax	0.106421
obligation	0.106328
strain	0.106002
expense	0.104673
weight	0.104391
shortage	0.10232
onus	0.100914
poverty	0.100518
"budget deficit"	0.0999206
obstacle	0.0976572
pain	0.0975252
demand	0.0962845
suffering	0.0962754
uncertainty	0.0953654
"burden of proof"	0.0952114
inconvenience	0.094569
instability	0.0933272
influence	0.0926353
"financial loss"	0.0919568
requirement	0.0916678
challenge	0.0916087
benefit	0.09051
imbalance	0.0904526
deficit	0.0903956
"tax rate"	0.0902525
expenditure	0.0899708
reliance	0.0883846
toll	0.0883035
implication	0.0861861
need	0.0861409
income	0.0861038
headache	0.0855073
Limitation	0.0853567
danger	0.0852417
trauma	0.0849094
payment	0.0847124
loss	0.0842992
lack	0.0841868
saving	0.0840618
amount	0.0840473
reduction	0.0837153
"unemployment rate"	0.0833477
indebtedness	0.0823538
subsidy	0.0822962
surplus	0.0820571
stigma	0.0819922
tension	0.0815388
threat	0.0811948
incentive	0.0811396
congestion	0.0808967
hassle	0.0808211
incidence	0.0807146
embarrassment	0.0806414
damage	0.0805431
task	0.0804189
inflation	0.0800161
penalty	0.0799173
weakness	0.0798737
shortfall	0.0798381
"income tax"	0.0798059
growth	0.0793758
situation	0.07935
rate	0.0793248
concern	0.0792752
misery	0.0790673
fee	0.0789979
backlog	0.0789315
worry	0.078783
"labor cost"	0.0787521
crisis	0.0785757
levy	0.0783945
focus	0.0774005
distraction	0.0770544
woe	0.0770187
revenue	0.0766887
spending	0.0766263
dependency	0.0765046
fear	0.0764892
factor	0.0764802
complexity	0.07648
disruption	0.0762918
volatility	0.0762117
duty	0.0759652
"interest rate"	0.0758431
"inflation rate"	0.0757227
shame	0.0755923
epidemic	0.0754268
anxiety	0.0754247
expectation	0.075423
condition	0.0752918
value	0.0752104
trouble	0.074529
ratio	0.0743846
drain	0.0743754
complication	0.0741619
"growth rate"	0.0740442
limit	0.074027
sanction	0.0739821
"trade deficit"	0.0738947
wealth	0.0733763
crunch	0.0727724
emphasis	0.0727665
inequality	0.0727594
possibility	0.0727213
flow	0.0727037
crises	0.0726459
potential	0.0724683
"health problem"	0.0722502
"crime rate"	0.0721733
harm	0.0721616
pollution	0.0721049
turmoil	0.0720344
regulation	0.0720267
"debt problem"	0.0719025
"air pollution"	0.071788
restraint	0.0716494
"production cost"	0.0714832
dilemma	0.0714457
relief	0.0712498
delay	0.0712198
opportunity	0.0710112
disaster	0.0709882
"economic crisis"	0.0709882
importance	0.0709209
insecurity	0.070908
level	0.0708291
price	0.0708127
catastrophe	0.0707825
repercussion	0.0706821
increase	0.0706673
policy	0.0706306
symptom	0.0704135
degradation	0.0703361
contribution	0.0703113
"borrowing cost"	0.0702897
prospect	0.0701343
measure	0.0700917
taxation	0.0699246
scourge	0.0698749
gap	0.069769
disparity	0.0690197
"trade barrier"	0.0689151
bottleneck	0.0687472
failure	0.0687114
inflow	0.0686019
"red tape"	0.0686001
Distress	0.0684669
resource	0.0684076
setback	0.0683904
mortality	0.0683391
shock	0.0680961
recession	0.0680129
dependent	0.0679011
hazard	0.0677743
tragedy	0.0677527
erosion	0.0677469
"standard of living"	0.0677207
disadvantage	0.0676515
allocation	0.0675985
inventory	0.0674565
corruption	0.0674371
reality	0.0673956
aid	0.067241
likelihood	0.0670496
tariff	0.0669444
number	0.0668869
write-off	0.0667649
slowdown	0.0667626
barrier	0.0667054
"price increase"	0.0666903
"side effect"	0.0666859
chore	0.0664658
frustration	0.0662317
money	0.0661789
priority	0.065994
borrowing	0.0659762
investment	0.0659238
productivity	0.0657342
caseload	0.0655825
standard	0.0654816
))
("burden of proof" (desc 3716.11) (sims
onus	0.202291
"margin call"	0.079863
"center of gravity"	0.0754273
"statute of limitations"	0.0699274
presure	0.0665452
blinder	0.0631
co-counsel	0.061981
imprimatur	0.0588492
culpability	0.0572046
"debt load"	0.0559165
caseloads	0.0553207
"rule of evidence"	0.0540442
mistrial	0.0533206
resistence	0.0521669
"defense lawyers"	0.0520171
postmark	0.0518027
"circulatory system"	0.0515646
"false statement"	0.0511369
leniency	0.0510422
"income bracket"	0.0501592
deductibles	0.0496788
"moral obligation"	0.0495336
"medical exam"	0.0494412
"balance of power"	0.0478629
"cost structure"	0.0472706
"Lord's Prayer"	0.0471629
co-payment	0.0471268
complainant	0.0467599
birthrate	0.0465266
Nicol	0.0462319
"bid price"	0.0460852
"frame of reference"	0.0458705
workload	0.0458329
"cash crunch"	0.0456927
"Hong Kong Telecom"	0.0456386
"safety standard"	0.0455479
airplay	0.0450675
"final judgment"	0.0448158
"body weight"	0.0444803
wattage	0.043905
"financial obligation"	0.0432783
GST	0.0432752
"admission price"	0.0430109
"luxury liner"	0.0428173
"finding of fact"	0.0425463
retrial	0.0425378
"wage scale"	0.041835
ridership	0.0418304
"school boy"	0.0417946
"swim meet"	0.0415096
half-inch	0.0414171
"vacancy rate"	0.0413371
esteem	0.04125
yielding	0.0412284
co-payments	0.040985
"tax liability"	0.040827
"interest payment"	0.0405382
rightward	0.0401378
Nickerson	0.0400981
threshhold	0.0400235
))
(Bure (desc 5949.83) (sims
Stumpel	0.17473
Palffy	0.161652
Reichel	0.153349
Duchesne	0.148077
Fleury	0.143961
Smolinski	0.143911
Audette	0.133731
Tverdovsky	0.133386
LeClair	0.133186
Daigle	0.132049
Lindros	0.12913
Tkachuk	0.126368
Berard	0.125365
Laudrup	0.124577
"Pavel Bure"	0.123926
Robitaille	0.12308
Kariya	0.12259
Yzerman	0.121967
Primeau	0.121335
Wynalda	0.118986
Recchi	0.118205
Yashin	0.114502
Drury	0.112041
Kovalev	0.107643
Laettner	0.105736
Nieuwendyk	0.104088
Roenick	0.103772
Lacroix	0.103609
Hardaway	0.103521
Laperriere	0.103404
Jagr	0.103207
Bourque	0.102616
Nedved	0.101805
Leetch	0.100748
Szczerbiak	0.0995611
Baerga	0.09906
Tocchet	0.0942416
hermosillo	0.0940846
Swann	0.0940625
Kukoc	0.0931739
Alou	0.0930906
Gilmour	0.0928785
Niedermayer	0.0917679
Gretzky	0.0917018
Wohlers	0.0916246
Kamensky	0.0912514
Hamm	0.0903705
Segui	0.0899509
Bergkamp	0.0896769
Langenbrunner	0.0893084
Zubov	0.0889377
Forsberg	0.0889247
Neely	0.0887656
Holdsclaw	0.088637
Khristich	0.0875622
Rucchin	0.0874464
Faulk	0.0873577
Bonilla	0.0868395
Woolley	0.0867683
Wilkins	0.0866168
Sakic	0.086513
MacLean	0.0861529
Appier	0.0859997
Romario	0.0859043
Modano	0.0855115
Turgeon	0.0851093
Fortson	0.0849023
Messier	0.084122
McDyess	0.083833
Cullen	0.0837147
Ceballos	0.0835802
Galloway	0.0832364
Olajuwon	0.0830447
Ewing	0.0827059
Griffey	0.0826193
Pippen	0.0826106
"Van Exel"	0.0823518
Jonsson	0.0821296
Abdur-Rahim	0.0820122
MARBURY	0.0817649
Savarese	0.0817305
"ZIGMUND PALFFY"	0.081563
Zidane	0.0811024
Vizcaino	0.080785
Chelios	0.0807639
Selanne	0.0806514
Gorter	0.080514
Zeile	0.0804927
Klinsmann	0.0802176
Nowitzki	0.0801836
Samsonov	0.0799933
Webber	0.0799379
Brogna	0.0798652
Lett	0.0798329
"Theo Fleury"	0.0795468
Sykora	0.0794584
Andreychuk	0.0793747
"Paul Kariya"	0.078866
Ripken	0.078748
Holik	0.0784241
Nomo	0.0784118
Hasek	0.0783975
Wadsworth	0.0782705
Batistuta	0.0780859
Hundley	0.0778361
"Peter Bondra"	0.0778153
Iverson	0.0777284
Piazza	0.0776057
Asprilla	0.077541
"Felix Potvin"	0.077399
Gugliotta	0.0770195
Vieri	0.0770112
Olowokandi	0.0769456
Plante	0.0768942
Fizer	0.0768807
Bierhoff	0.0767704
Lehtinen	0.076548
Donato	0.0761716
Blake	0.0759268
Larkin	0.0758677
Ronaldo	0.0758299
Maradona	0.0756267
Sehorn	0.0754328
Mondesi	0.0751693
"Jaromir Jagr"	0.075057
Kluivert	0.0750397
Hejduk	0.0750174
CORYATT	0.0748614
Finley	0.0742581
Rodriguez	0.0742431
Sprewell	0.0740088
Carbonneau	0.0735883
"Mark Messier"	0.0732998
Samuelsson	0.07313
Gatling	0.0730167
Aikman	0.0729904
"Di Canio"	0.0729031
"Eric Lindros"	0.0726742
Saberhagen	0.0726294
Pippig	0.0725847
Graziani	0.0724883
Lemieux	0.072295
Verbeek	0.0721216
"Brett Hull"	0.0721016
Salas	0.0720287
Wheatley	0.0718542
Chmura	0.0716874
Sydor	0.0716053
"Bryan Smolinski"	0.0713531
Suker	0.0713335
Beltre	0.0712702
McDuffie	0.0712607
Fuhr	0.0712142
Cienfuegos	0.071049
Pickens	0.0709889
Velarde	0.0708989
Meares	0.0707628
Stoudamire	0.0707572
Clemens	0.0707232
ALLISON	0.0704209
Surhoff	0.0701831
"Del Piero"	0.0698872
"Teemu Selanne"	0.0688863
"Ray Bourque"	0.0683368
Longley	0.0682359
Barkley	0.0681637
Peca	0.0681217
"Cliff Ronning"	0.0680208
Underwood	0.0679519
"Jeremy Roenick"	0.0675886
Soward	0.0675553
Gonzalez	0.0675531
Baggio	0.0674667
Nolan	0.0674258
Murrell	0.0674211
Anelka	0.0672027
Renteria	0.0669586
Barrasso	0.0666171
Hollandsworth	0.0663558
Odom	0.0663158
McGrady	0.0663116
Koznick	0.0662977
Gilkey	0.0660133
Neagle	0.0659734
Kohn	0.0658397
Catalanotto	0.065821
Thornton	0.0657286
Belcher	0.0656094
Unser	0.0654934
Norstrom	0.0654421
"John LeClair"	0.06539
Palmeiro	0.0653186
Stottlemyre	0.065277
Valdes	0.0651742
"Patrick Ewing"	0.0647934
Strahan	0.0647174
Alomar	0.064714
"Glen Rice"	0.0645313
Knoblauch	0.0645009
Polynice	0.0643831
))
(bureau (desc 59927.1) (sims
department	0.210464
bureaus	0.183797
ministry	0.166503
institute	0.159096
agency	0.152504
"Census Bureau"	0.146337
office	0.145326
commission	0.136129
committee	0.129715
"State Statistics Bureau"	0.126387
FBI	0.125045
"Ministry of Agriculture"	0.123133
"Department of Agriculture"	0.123121
"Health Ministry"	0.12293
"Health Department"	0.122768
"Environmental Protection Agency"	0.122374
bureaux	0.120237
"Ministry of Health"	0.118055
"task force"	0.117798
Council	0.117639
"municipal government"	0.117032
"police department"	0.116805
authority	0.116606
"Finance Ministry"	0.115752
"Department of Health"	0.115512
CDC	0.114232
branch	0.114067
"National Bureau of Statistics"	0.113952
"planning commission"	0.113262
EPA	0.113191
"central bank"	0.113073
association	0.112995
"Education Department"	0.112824
"National Transportation Safety Board"	0.112361
Secretariat	0.112049
"Justice Department"	0.110106
"chamber of commerce"	0.109935
"Department of Transportation"	0.109091
"Interior Ministry"	0.109063
"Federal Aviation Administration"	0.108079
"Department of Education"	0.10779
"Foreign Ministry"	0.107315
Directorate	0.107182
administration	0.10688
"Commerce Department"	0.105732
CIA	0.104837
"Energy Department"	0.102939
FAA	0.102621
"European Commission"	0.102184
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center	0.0999034
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police	0.099707
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federation	0.0983964
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FDA	0.0973998
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headquarter	0.0971294
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Eurostat	0.0968325
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organization	0.0967117
government	0.095029
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Pentagon	0.0942492
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official	0.0929719
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"think tank"	0.0909541
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SEC	0.0908185
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embassy	0.0905268
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NTSB	0.0897391
ATF	0.089486
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OSHA	0.088726
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division	0.0883629
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consulate	0.0879832
USDA	0.0879229
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hospital	0.0875927
UNHCR	0.0874897
DEA	0.0873651
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FTC	0.087283
board	0.0870155
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INS	0.0863674
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UNICEF	0.0859284
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company	0.0847071
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chief	0.0839682
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university	0.0831764
firm	0.0829933
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laboratory	0.0826045
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lab	0.0821708
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WFP	0.0819183
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regulator	0.0813304
subcommittee	0.0812091
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unit	0.080423
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commissioner	0.0800158
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expert	0.0797814
institution	0.0797397
panel	0.0795936
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HKTA	0.0773841
"National Marine Fisheries Service"	0.0770807
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IRS	0.0763013
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MOFTEC	0.0760308
NASA	0.0760017
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bank	0.0755346
foundation	0.0754425
General	0.0754224
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station	0.0749282
consortium	0.0749262
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FAO	0.0745593
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academy	0.073753
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prosecutor	0.0725837
group	0.0725576
correspondent	0.0723684
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"Department of Corrections"	0.0721611
newspaper	0.071972
Congress	0.0716751
USOC	0.07167
conference	0.0716524
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"Federal Bureau of Investigation"	0.216373
"Immigration and Naturalization Service"	0.205387
"U.S. Customs Service"	0.160846
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"customs service"	0.139883
"secret service"	0.13898
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FBI	0.136252
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ATF	0.127264
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"Health Care Financing Administration"	0.114662
"Department of Transportation"	0.112145
"National Highway Traffic Safety Administration"	0.11173
"U.S. Fish and Wildlife Service"	0.111369
"Federal Trade Commission"	0.108655
"Department of Agriculture"	0.107539
INS	0.103653
"Federal Aviation Administration"	0.103214
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"border patrol"	0.0997982
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"Department of Commerce"	0.0988386
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"Department of Environmental Conservation"	0.0927718
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DEA	0.0881636
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IRS	0.0867098
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CIA	0.0823612
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"Consumer Product Safety Commission"	0.0818791
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"Occupational Safety and Health Administration"	0.0782203
bureau	0.0782192
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PricewaterhouseCoopers	0.0773703
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"Health and Human Services Department"	0.0770667
"Fish and Wildlife Service"	0.0765387
"Human Rights Watch"	0.0760395
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"Center for Responsive Politics"	0.0741036
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EPA	0.0713225
"National Cancer Institute"	0.0711989
Interpol	0.071103
"police department"	0.0708422
"National Marine Fisheries Service"	0.0704282
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"Port Authority of New York"	0.0689953
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"Consumers Union"	0.067494
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CDC	0.0672396
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"Log Cabin Republicans"	0.0660639
"Social Security Administration"	0.0655933
NTSB	0.0651942
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"Finance Ministry"	0.0646059
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"Army Corps"	0.0644768
"Agency for International Development"	0.0642317
"Commerce Department"	0.0641772
"Ministry of Agriculture"	0.064096
"Philippine National Police"	0.063999
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FTC	0.0639242
"federal agent"	0.0637657
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FAA	0.0632925
"National Federation"	0.0621717
"Federal Communications Commission"	0.0621268
"National Election Committee"	0.0619412
"Coast guard"	0.0618788
FDA	0.0618348
"U.S. Forest Service"	0.0614826
"U.N. Special Commission"	0.0614074
"FBI agent"	0.0610061
Comptroller	0.0609272
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"National Association of Securities Dealers"	0.0605164
"Common Cause"	0.0604572
"United Nations High Commission for Refugees"	0.0601813
FCC	0.0601791
"International Atomic Energy Agency"	0.0601082
OSHA	0.0597863
"postal service"	0.0596063
"State Department"	0.059547
"National Research Council"	0.0594348
"Urban Institute"	0.0593097
"Democratic Congressional Campaign Committee"	0.0592726
"Central Bank of Kenya"	0.0590673
"Human Rights Campaign"	0.0590158
"Commission on Elections"	0.0589712
"U.N. High Commissioner for Refugees"	0.0589356
"Mastercard International"	0.058675
Mossad	0.0586644
"American Association of Retired Persons"	0.0585223
"Council of Economic Advisers"	0.058481
auditor	0.0584669
"Central Bureau of Investigation"	0.0583616
"National Labor Relations Board"	0.0578342
"U.S. Geological Survey"	0.0578191
DP	0.0577978
"State Statistics Bureau"	0.0577954
"American Association of Health Plans"	0.0576147
"Mary Jo White"	0.0573892
"National Bureau of Statistics"	0.057345
"U.S. Postal Service"	0.0573315
"United Nations Children's Fund"	0.0572709
"National Oceanic and Atmospheric Administration"	0.057088
"European Commission"	0.0568662
SEC	0.0568515
"American Red Cross"	0.0563651
"Labor Ministry"	0.0563379
"Texas Department of Health"	0.0561623
"Cuban American National Foundation"	0.0558851
"district attorney"	0.0556391
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"task force"	0.0554759
"insurance regulator"	0.0554155
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"Department of Trade and Industry"	0.0552265
"Consumer Federation"	0.0551863
"Amnesty International"	0.0548679
"Civil Aviation Administration of China"	0.0547058
"medical examiner"	0.0544705
"Handgun Control Inc."	0.0544283
"World Tourism Organization"	0.0544175
"State Education Commission"	0.0543679
"Department of Environmental Protection"	0.0542787
"Chinese Foreign Ministry"	0.0541651
"World Health Organization"	0.0541528
"United Nations High Commissioner for Refugees"	0.0539886
"Food and Agriculture Organization"	0.0538471
"State Forestry Administration"	0.0535184
"Federal Election Commission"	0.0534632
"Philip Morris Cos."	0.05344
"Department of Public Health"	0.0534228
"State Flood Control"	0.0533131
"Defense Ministry"	0.0531075
"U.S. Border Patrol"	0.052976
"International Committee"	0.0528969
"National Academy of Sciences"	0.0528282
"House Commerce Committee"	0.0526481
"National Police"	0.0526301
"Arthur Andersen"	0.0525718
"U.N. Development Program"	0.0523432
"Chevron Corp."	0.0523368
"Nielsen Media Research"	0.0523296
"International Management Group"	0.0523232
"Federal Reserve Board"	0.0522653
"U.S. Agriculture Department"	0.0522027
"Hearst Corporation"	0.0519673
tribunal	0.0517455
"Pew Research Center"	0.0516447
"Airport Authority"	0.0515108
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"antitrust regulator"	0.0510524
"Ministry of Foreign Trade and Economic Cooperation"	0.0510202
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BIA	0.134382
"U.S. Immigration and Naturalization Service"	0.127673
"Health Care Financing Administration"	0.126705
"Bureau of Land Management"	0.122676
"Department of Public Safety"	0.111538
"U.S. Forest Service"	0.106847
"Department of Environmental Conservation"	0.106617
"Education Department"	0.104728
"Nuclear Regulatory Commission"	0.102109
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"Office of Management and Budget"	0.0982984
"Department of Housing and Urban Development"	0.0981811
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"U.S. Fish and Wildlife Service"	0.0954468
"Immigration and Naturalization Service"	0.0948687
Comelec	0.0944398
"Fish and Wildlife Service"	0.0909457
"Drug Enforcement Administration"	0.0905194
"Justice Ministry"	0.0900723
"Department of Transportation"	0.089161
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"Department of Labor"	0.0872376
"Department of Environmental Protection"	0.0862005
"Department of Education"	0.0861807
"Department of Veterans Affairs"	0.0858609
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"Motion Picture Association of America"	0.0848603
"Texas Department of Public Safety"	0.0831019
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HCFA	0.0804582
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EPA	0.0800319
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FEMA	0.0776363
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FSA	0.0766872
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SDPC	0.0756184
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OSHA	0.0737042
"Home Ministry"	0.0732514
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"Federal Security Service"	0.0723788
"William Morris"	0.0721272
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solicitor	0.0712928
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FSB	0.0706114
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INEC	0.0698699
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ICBC	0.0668851
Interpol	0.0668701
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NTSB	0.0665003
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"federal office"	0.0664433
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"United Nations High Commission for Refugees"	0.0661309
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FDA	0.0656665
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"civil defense"	0.0653031
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Wyeth-Ayerst	0.0648976
IRS	0.064317
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counterintelligence	0.0640876
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OCA	0.0639979
GSS	0.0639455
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USAID	0.0638091
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INS	0.0635127
PBOC	0.0634778
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EBRD	0.0623409
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CCB	0.0620247
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WFP	0.061752
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UNHCR	0.0617087
counterterrorism	0.0616072
DMV	0.0612806
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SBA	0.0611406
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HKMA	0.0606355
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NRC	0.0604703
FCC	0.0602178
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ICRC	0.0593021
NIH	0.059264
EEOC	0.0590062
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CAA	0.0583521
HUD	0.058351
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BBDO	0.0577541
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NSA	0.0573278
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CSRC	0.0569525
UNAIDS	0.0569078
CPS	0.0567246
CCF	0.0565703
FAA	0.0565601
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ILO	0.0562464
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Eximbank	0.0561271
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DAP	0.0559024
UNESCO	0.0554428
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va	0.0548839
CIRC	0.0547191
ACLU	0.0547128
"Dan Glickman"	0.0545918
UNICEF	0.0542784
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"regulatory agency"	0.0541483
Nepa	0.0541199
FAO	0.0540997
PUC	0.0540903
UNAMET	0.0539852
IAI	0.0539815
Media-MOST	0.0539088
"Royal Ulster Constabulary"	0.0537515
"British High Commission"	0.0537242
HHS	0.053664
FTC	0.0536442
"National Aeronautics and Space Administration"	0.0536249
"Association of Flight Attendants"	0.0535796
Archdiocese	0.0535595
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("Bureau of Labor Statistics" (desc 2871.85) (sims
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"U.S. Census Bureau"	0.168763
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Eurostat	0.148145
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"Statistics Canada"	0.144228
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"Australian Bureau of Statistics"	0.141113
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"Producer Price Index"	0.13249
"State Statistics Bureau"	0.130649
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ISTAT	0.126707
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Forrester	0.122849
"Labor Department"	0.121082
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"Education Department"	0.116754
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"Media Metrix"	0.114449
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CBO	0.112326
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"RAND Corp."	0.110084
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SSB	0.104723
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Morningstar	0.0981927
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bureau	0.091757
Antara	0.0917153
USDA	0.0914827
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CDC	0.0881549
Tankan	0.0878751
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"Advertising Age"	0.0841021
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Dataquest	0.0834479
Zogby	0.0829571
"Beijing Youth Daily"	0.0822815
"Environmental Protection Agency"	0.0815013
"Social Security Administration"	0.0807782
"Kyodo News Service"	0.0805464
"Institute of Medicine"	0.0801786
"Information Center"	0.0801455
"Health and Welfare Ministry"	0.0793937
"Nihon Keizai"	0.0793645
"Consumer Product Safety Commission"	0.0792497
"General Administration of Customs"	0.0792442
"Ministry of Labor"	0.0789556
"National Research Council"	0.0785036
"First Union Corp."	0.0784949
MTI	0.0779719
Ansa	0.077938
Notimex	0.0778994
"Egyptian Gazette"	0.0777936
"Kaiser Family Foundation"	0.0775419
"Texas Department of Health"	0.0773913
"U.S. Labor Department"	0.0768018
"Economic Planning Agency"	0.0765188
"Daily Times"	0.0764786
"Kyodo News"	0.0762703
"Department of Trade and Industry"	0.0758258
"State Administration of Taxation"	0.0749102
"U.S. Defense Department"	0.0745588
"United Press International"	0.07428
"Ministry of Health"	0.0742662
"Department of Public Safety"	0.0740365
"First Call/Thomson Financial"	0.0736972
"Ghana News Agency"	0.0732517
"Center for Responsive Politics"	0.073011
"Korean Central News Agency"	0.0729749
"Department of Finance"	0.072585
EPA	0.0722584
BS	0.0721931
ITC	0.0717837
"Economic Daily"	0.0716291
"International Data Corp."	0.0714563
"National Hurricane Center"	0.0713793
"Ministry of Agriculture"	0.0713177
Corp.	0.0712413
"National Weather Service"	0.071204
"Federal Election Commission"	0.0711661
"Natural Resources Defense Council"	0.0711167
"Wenhui Daily"	0.071102
"Agence France Presse"	0.0707803
"Standard Chartered Bank"	0.0706248
"Finance Ministry"	0.0706228
Lipper	0.0702513
Nielsen	0.0700309
Zagat	0.0698594
"Department of Environmental Protection"	0.0698327
"election commission"	0.0695693
"Jerusalem Media and Communication Center"	0.0694842
"Federal Trade Commission"	0.0694531
"Dow Jones &AMP; Co."	0.069445
"Philippine News Agency"	0.0693747
IEA	0.0689594
"Jupiter Communications"	0.0688107
"Federal Reserve Bank of New York"	0.0686136
"Immigration and Naturalization Service"	0.0686016
"Bank of Thailand"	0.0685771
"employment report"	0.0684564
"Agriculture Ministry"	0.0683223
"New Straits Times"	0.0681718
"Treasury Department"	0.0681563
Reforma	0.0680223
"Human Rights Watch"	0.0679344
"Energy Department"	0.0678214
RSS	0.0677597
INA	0.0677288
"inspector general"	0.0675378
"State Development Planning Commission"	0.0674636
"New York Times Co."	0.0670892
"U.S. Customs Service"	0.0665154
IDC	0.0664716
BNFL	0.0663362
"Bureau of Indian Affairs"	0.066189
"Chinese Academy of Social Sciences"	0.0661719
"Fleet Financial Group"	0.0660241
"Federal Bureau of Investigation"	0.0657746
"U.S. Environmental Protection Agency"	0.0656677
"Financial Times"	0.0655013
"Cato Institute"	0.0653568
"Forrester Research"	0.0652511
"Center on Budget"	0.0645933
INEC	0.0644436
"Federated Department Stores"	0.064311
Asahi	0.0641549
"Chinese Foreign Ministry"	0.0641035
Rylander	0.0640748
"Der Spiegel"	0.0639606
"World Health Organization"	0.063814
"Moscow Times"	0.0634701
WAM	0.0633802
"Washington State University"	0.0628722
"Federal Reserve Bank"	0.0628529
"Brookings Institution"	0.0628238
Tat	0.0626648
"National Thoroughbred Racing Association"	0.0626595
"International Business Daily"	0.0626086
CBK	0.0625256
"Kathmandu Post"	0.062298
"Egyptian Middle East News Agency"	0.0622919
Lusa	0.0621444
lastest	0.0620358
"El Pais"	0.061893
"National Marine Fisheries Service"	0.0618778
HKMA	0.0616225
"Department of Environmental Conservation"	0.0616169
"Nuclear Regulatory Commission"	0.0615972
"BankBoston Corp."	0.0614843
"customs service"	0.0613255
"American Cancer Society"	0.0613168
SAPA	0.0613097
CPSC	0.0612979
"National Academy of Sciences"	0.0611331
IRNA	0.0611107
))
("Bureau of Land Management" (desc 3070.78) (sims
"Forest Service"	0.233504
"National Park Service"	0.230694
BLM	0.230108
"U.S. Forest Service"	0.201159
"U.S. Fish and Wildlife Service"	0.194959
"Fish and Wildlife Service"	0.167325
"Interior Department"	0.156665
"Park Service"	0.156601
"U.S. Immigration and Naturalization Service"	0.129215
"Bureau of Indian Affairs"	0.122676
"National Trust"	0.120043
"Environmental Protection Agency"	0.116073
"U.S. Environmental Protection Agency"	0.112722
"U.N. World Food Program"	0.112075
"Department of Corrections"	0.105539
"Department of Health and Human Services"	0.10524
"Department of Defense"	0.103459
"Russian Space Agency"	0.101567
"Department of Energy"	0.101013
"Health and Human Services Department"	0.0998101
"Federal Aviation Administration"	0.0945679
"Federal Emergency Management Agency"	0.0944562
"Department of Environmental Conservation"	0.0932235
"Department of Housing and Urban Development"	0.0897435
"Department of Public Safety"	0.0888263
"National Science Foundation"	0.0881334
"Health Care Financing Administration"	0.0862934
"Health Department"	0.086163
"Education Department"	0.0827594
"customs service"	0.0809957
"Federal Highway Administration"	0.0798062
"Texas Department of Public Safety"	0.0796
"U.S. Geological Survey"	0.0792971
"Metropolitan Transportation Authority"	0.0792833
"Drug Enforcement Administration"	0.0791358
DFG	0.0790612
Massport	0.0789006
"Handgun Control"	0.0782952
"Army Corps"	0.0780274
"National Republican Congressional Committee"	0.0767413
"Nuclear Regulatory Commission"	0.0763752
"Department of Veterans Affairs"	0.0760852
"Texas Department of Health"	0.0746695
UNHCR	0.0746115
"Energy Department"	0.0743955
"Central Intelligence Agency"	0.0743837
Caltrans	0.073768
"National Marine Fisheries Service"	0.0735942
"Consumer Product Safety Commission"	0.0730606
"French Foreign Ministry"	0.072314
"Office of Management and Budget"	0.0719431
"Justice Ministry"	0.0719228
"National Aeronautics and Space Administration"	0.071418
"Department of Public Health"	0.0711397
"Department of Transportation"	0.0710505
"American Association of Health Plans"	0.0709021
"Small Business Administration"	0.0704837
"Airport Authority"	0.070398
"Cuban American National Foundation"	0.0700035
"U.S. Information Agency"	0.069916
"Democratic Congressional Campaign Committee"	0.0696661
"Chinese Foreign Ministry"	0.0692266
"Department of Justice"	0.0688157
"Immigration and Naturalization Service"	0.0683964
"National Association of Securities Dealers"	0.0683149
KPMG	0.0678725
"National Weather Service"	0.067625
"Pacific Bell"	0.0676142
"Department of Environmental Protection"	0.0676055
"National Security Council"	0.0675666
"American Red Cross"	0.0674184
"Ministry of Defense"	0.0674025
CDC	0.0672112
"Securities Industry Association"	0.0668231
"Defense Department"	0.0662468
"National Institutes of Health"	0.0661779
"U.S. Coast Guard"	0.0660291
"Coca-Cola Enterprises"	0.0656229
"Levi Strauss"	0.0651089
"Department of Health"	0.0650076
"Air Transport Association"	0.0647706
OSHA	0.0647541
"Social Security Administration"	0.0646848
"New York Times Co."	0.0643847
"National Election Committee"	0.063965
"Handgun Control Inc."	0.0637975
SDPC	0.0636962
"Bureau of Alcohol"	0.063351
"Board of Elections"	0.0631783
"Department of Education"	0.063043
"Port Authority of New York"	0.0630296
"Defense Agency"	0.0626478
EPA	0.062345
"European Space Agency"	0.0622221
"Federal Bureau of Investigation"	0.0619629
"U.S. Customs Service"	0.0616013
"Port Authority"	0.061544
"National Association of Broadcasters"	0.0614593
"U.N. High Commissioner for Refugees"	0.061415
IMG	0.0609253
PBOC	0.0607419
HUD	0.0607346
NRC	0.06031
Weyerhaeuser	0.06031
"Pacific Lumber"	0.0591945
"World Food Program"	0.0591726
FEMA	0.0588984
"Mission Control"	0.0582
"Food and Drug Administration"	0.0581986
"Charles Schwab &AMP; Co."	0.0581718
"Consumers Union"	0.0579676
"National Oceanic and Atmospheric Administration"	0.0577435
INS	0.0577186
DEP	0.0576625
"Coast guard"	0.0576567
"International Atomic Energy Agency"	0.0575725
"Department of Agriculture"	0.0575507
"Chevron Corp."	0.0575363
"Fidelity Investments"	0.0574994
"AMR Corp."	0.0574869
"United Nations High Commission for Refugees"	0.0573165
"Con Edison"	0.0572016
Wyeth-Ayerst	0.0571499
Eximbank	0.0571443
RRA	0.0571279
"Department of Labor"	0.0569321
"Air Line Pilots Association"	0.0566819
"civil defense"	0.0558632
"U.N. Development Program"	0.0557594
"Association of Flight Attendants"	0.0554798
"Lockheed Martin"	0.0554308
"border patrol"	0.0553495
NTSB	0.0553241
"Treasury Department"	0.0551776
"Pac Bell"	0.0551296
"Network Solutions"	0.0551143
Tauzin	0.055017
"Allied Pilots Association"	0.0547649
"Department of Commerce"	0.0547497
"British High Commission"	0.0547246
CSA	0.0545982
"Democratic Senatorial Campaign Committee"	0.054484
"World Wildlife Fund"	0.0544341
"Securities and Exchange Commission"	0.0543664
"board of education"	0.0538176
DMV	0.0536785
PETROBRAS	0.0536337
HKMA	0.0535767
"Israeli Foreign Ministry"	0.0535758
"Warburg Dillon Read"	0.0535593
AAA	0.0534086
"Fallon McElligott"	0.0532343
FAA	0.0531906
"Federal Security Service"	0.0531709
SSB	0.0528518
CCB	0.0527953
"American Bankers Association"	0.0525595
"National Federation"	0.052397
"Civil Aviation Authority"	0.0521532
"Human Rights Campaign"	0.0520943
"National Police"	0.052017
"Southern Poverty Law Center"	0.0519644
"United Nations High Commissioner for Refugees"	0.0518267
ENTERGY	0.0517678
"EU Commission"	0.0517354
"Bill Lockyer"	0.051719
CWA	0.0516072
"Agriculture Department"	0.05159
"Hearst Corp."	0.0515297
"House Appropriations Committee"	0.0515158
"transit authority"	0.0515093
"Family Research Council"	0.0514829
"Department of Foreign Affairs"	0.0514206
"Motion Picture Association of America"	0.0513636
"National Security Agency"	0.0512587
CSRC	0.0511881
"Omnicom Group"	0.0511552
"Southwest Airlines"	0.051098
"Amnesty International"	0.0510915
TAZARA	0.0510004
"High Museum of Art"	0.050966
"Census Bureau"	0.0509183
"British Foreign Office"	0.0508808
CAA	0.0505114
"Time Warner Cable"	0.0504073
CHP	0.0503391
"Mary Jo White"	0.0503254
"Interior Ministry"	0.0502588
"CBS Sports"	0.050251
"American Jewish Committee"	0.0502006
"Israeli Embassy"	0.0500801
"regulatory agency"	0.0500505
"National Audubon Society"	0.0500157
"Royal Ulster Constabulary"	0.0499133
"Iranian Foreign Ministry"	0.0498026
"U.S. State Department"	0.049506
"American Association of Retired Persons"	0.0494182
"Department of State"	0.0493236
"Hong Kong Monetary Authority"	0.0493062
"Occupational Safety and Health Administration"	0.0491485
))
(bureaucracy (desc 38249.3) (sims
"red tape"	0.14128
"tax system"	0.0945898
bureaucrat	0.0928812
corruption	0.0920026
inefficiency	0.0888358
"police force"	0.0858503
"civil service"	0.085795
structure	0.0833467
system	0.083299
regulation	0.0832389
"political system"	0.0820436
Judiciary	0.0819601
management	0.0817531
institution	0.0799948
agency	0.0795081
"legal system"	0.0784318
paperwork	0.0769343
poverty	0.0761341
mismanagement	0.0760987
"banking system"	0.0760821
politics	0.0738648
military	0.0735459
finance	0.073088
"budget deficit"	0.0726525
policy	0.0710377
economy	0.0710114
infrastructure	0.0706014
administration	0.0705685
taxation	0.070395
"distribution system"	0.0687746
"labor market"	0.0686857
"armed forces"	0.0678739
debt	0.0678166
procedure	0.0673656
authority	0.0669968
expenditure	0.0668674
apparatus	0.0663783
leadership	0.0660212
organization	0.0647886
"work force"	0.0646982
unemployment	0.0646312
oversight	0.064265
spending	0.0639921
budget	0.0638384
governance	0.0631997
subsidy	0.0630652
"state enterprise"	0.0630319
department	0.0626163
industry	0.0624219
"power structure"	0.0623845
"economic system"	0.0619519
"electoral system"	0.0619213
culture	0.0617885
regulator	0.0617378
tax	0.0616645
hierarchy	0.0616229
reluctance	0.0609848
"tax collection"	0.0609827
"decision making"	0.0606802
sector	0.060631
process	0.0605716
monopoly	0.0605051
protectionism	0.0600832
law	0.0598042
"economic policy"	0.0598037
establishment	0.0595357
requirement	0.0595219
"police department"	0.0593949
instability	0.0592038
society	0.0591184
cronyism	0.059004
personnel	0.0588785
failure	0.0587966
army	0.0583366
burden	0.0582819
mechanism	0.0581363
financing	0.0577948
funding	0.0576226
gridlock	0.0573643
woe	0.0573497
congestion	0.0572103
shortage	0.05713
"monetary system"	0.0570098
regime	0.0569999
enforcement	0.0568613
elite	0.0568224
"bankruptcy law"	0.0567905
complexity	0.0567785
"public service"	0.0566975
corporation	0.0566172
difficulty	0.0564791
racism	0.0564777
reform	0.0562453
inability	0.0561798
conglomerate	0.0561342
ministry	0.0561186
"federal government"	0.0560133
parastatals	0.0556953
environment	0.0556064
activity	0.0554033
restriction	0.0553563
interference	0.0552575
administrator	0.0551709
"local government"	0.0550961
operation	0.054741
"estate tax"	0.0547074
nepotism	0.0546247
"law enforcement"	0.0545245
mess	0.0545236
workforce	0.0544095
borrowing	0.0543854
indebtedness	0.0543497
inequality	0.0543194
Congress	0.0543013
commission	0.0542872
planning	0.0542438
education	0.0541627
patronage	0.0540072
uncertainty	0.0538817
incompetence	0.0538465
"health care"	0.0536855
union	0.0535747
"trade policy"	0.0534534
inventory	0.0534177
medicare	0.0533633
police	0.0532831
media	0.0532585
Privatization	0.0532424
"security force"	0.053192
stockpile	0.0530243
staff	0.0528992
"economic crisis"	0.0527852
"financial institution"	0.0527831
resource	0.0527024
"computer network"	0.0525562
influence	0.0525036
legislation	0.0524781
enterprise	0.052471
graft	0.0524464
Council	0.0523979
custom	0.0523507
supervision	0.0522452
pollution	0.0522279
"labor union"	0.0522017
accountability	0.0521482
organ	0.0521321
employment	0.0517236
immigration	0.0517175
committee	0.0515839
"political party"	0.0515241
"tax rate"	0.0515186
hardship	0.0515139
legislature	0.0514655
partisanship	0.0513397
entity	0.0512128
"health service"	0.0510365
"military force"	0.051006
confusion	0.050984
network	0.0508197
"welfare state"	0.0507894
watchdog	0.0507084
responsibility	0.0506683
"bad weather"	0.0506335
clout	0.0505809
climate	0.0505487
"labor force"	0.0505183
politician	0.0505147
labor	0.0504802
traffic	0.0504112
insurer	0.0504082
presence	0.0501518
code	0.0501497
fraud	0.0501021
inflation	0.050099
"pension fund"	0.0500976
intrigue	0.0500961
"school system"	0.0500898
curriculum	0.0500796
tactic	0.0500506
"central bank"	0.0500051
crime	0.0498803
"oil production"	0.0497696
duplication	0.0497554
"tax break"	0.0497042
chaos	0.0496786
unit	0.0495821
"regulatory agency"	0.0494904
"property tax"	0.0494767
"budget cut"	0.0494738
Capitalism	0.0493293
efficiency	0.0493148
favoritism	0.0493125
deficit	0.0492812
HMO	0.0492646
discipline	0.0492368
undertaking	0.049189
welfare	0.049061
Defense	0.0490069
empire	0.0489168
"news media"	0.0489098
))
(bureaucrat (desc 31087.9) (sims
politician	0.12298
"civil servant"	0.111568
"government officials"	0.1095
banker	0.106441
"policy maker"	0.106414
"business executive"	0.105874
official	0.103809
"military officer"	0.102878
administrator	0.10076
functionary	0.100525
lobbyist	0.0982205
legislator	0.0979032
educator	0.09729
"business leader"	0.0967968
journalist	0.0958629
academic	0.0953213
regulator	0.0941406
bureaucracy	0.0928812
diplomat	0.0923954
"public servant"	0.0921243
"elected official"	0.0917055
scientist	0.0916635
businessmen	0.0877363
professional	0.0874945
executive	0.0863741
policy-makers	0.0863109
intellectual	0.0861121
cleric	0.0855438
"cabinet minister"	0.0854739
"social worker"	0.0854528
lawmaker	0.0851858
activist	0.0848915
"political leader"	0.0845142
"corporate executive"	0.0843598
engineer	0.0843345
environmentalist	0.083977
officer	0.083976
technocrat	0.0836861
planner	0.083572
Industrialist	0.0835225
accountant	0.0830725
teacher	0.082964
employee	0.0828838
doctor	0.082649
"legal expert"	0.0824181
lawyer	0.0821678
"staff member"	0.0805714
"police officer"	0.0805031
worker	0.0789655
expert	0.0789206
scholar	0.078726
supervisor	0.0780309
prosecutor	0.0774029
"army officer"	0.0771418
statesmen	0.0769292
policymakers	0.0768286
entrepreneur	0.0767581
elite	0.0766007
crony	0.0765386
auditor	0.0763313
congressmen	0.0759471
"economic expert"	0.0758798
trader	0.0756201
operative	0.0753197
"interest group"	0.0751744
Programmer	0.0750254
academician	0.0748831
physician	0.0744164
manager	0.0743241
appointee	0.0741322
staffer	0.0737452
personnel	0.0736874
reformer	0.0736808
boss	0.0736726
"labor leader"	0.0733687
consultant	0.0731547
"religious leader"	0.0727737
clergy	0.0727178
judge	0.0720047
aide	0.0719771
adviser	0.0716221
"foreign officials"	0.0714073
authority	0.0712271
citizen	0.0709576
"labor union"	0.0706625
landowner	0.0703603
technician	0.0703201
clerk	0.0702944
developer	0.0699414
specialist	0.0697319
advocate	0.0694228
historian	0.0693749
"civic leader"	0.0688964
economist	0.0688078
criminal	0.0686379
contractor	0.0682264
secretary	0.068175
"department head"	0.0681028
salesmen	0.0680168
"federal official"	0.0680099
financier	0.0679167
"FBI agent"	0.067894
outsider	0.0674715
dignitary	0.0673473
Magistrate	0.0671918
elder	0.0670865
stockbroker	0.0668763
representative	0.066826
agent	0.0666642
"newspaper editor"	0.0664018
practitioner	0.0659041
police	0.0657323
officeholder	0.0656702
hard-liner	0.0656483
artist	0.0656192
"investment banker"	0.0655641
decision-makers	0.0655541
inspector	0.0655435
insider	0.0654951
"union member"	0.0654078
parliamentarian	0.0653665
minister	0.0652895
Communist	0.0652506
Cop	0.0648401
businesspeople	0.0648183
writer	0.0647442
investigator	0.0646052
farmer	0.064179
thug	0.0638681
analyst	0.0637196
laborer	0.0637124
cadre	0.0636569
"computer expert"	0.0635001
researcher	0.0634641
critic	0.0632621
jurist	0.0631805
liberal	0.0630594
nationalist	0.0628115
dissident	0.0628002
businessman	0.0626495
volunteer	0.0625364
superintendent	0.0624308
individual	0.062417
corporation	0.0622301
"management consultant"	0.0621656
chief	0.0621463
commissioner	0.0621346
broker	0.0619295
athlete	0.0616537
"trial lawyer"	0.0615059
student	0.0614759
staff	0.0613772
"social scientist"	0.0613634
hacker	0.0613456
criminologists	0.0612863
General	0.0612647
merchant	0.0611801
architect	0.0611286
pundit	0.0610871
policemen	0.0610548
nurse	0.0610451
supporter	0.0609584
Republican	0.0608943
Attorney	0.0607961
clergymen	0.0607235
"military leader"	0.0606392
associate	0.0605791
musician	0.0605749
resident	0.0605163
conservative	0.06042
"board member"	0.0604052
priest	0.0602898
mobster	0.0602104
preservationists	0.0601363
Democrat	0.060017
policeman	0.0599842
Governor	0.0599566
commander	0.0597818
"computer programmer"	0.0597472
Pol	0.0595568
"venture capitalist"	0.0593856
folk	0.0592051
owner	0.0591669
agency	0.0591538
parent	0.0589297
"decision maker"	0.0589248
statistician	0.0589018
insurer	0.0588776
observer	0.0587592
retiree	0.0587529
protester	0.0586647
landlord	0.0586158
soldier	0.0585024
"truck driver"	0.0582386
MP	0.0581764
"military man"	0.0581508
reporter	0.0579206
operator	0.0579173
broadcaster	0.0578983
"trade unionist"	0.0578756
))
(bureaus (desc 14091.7) (sims
bureaux	0.215671
bureau	0.183797
procuratorates	0.162308
department	0.148779
agency	0.10918
"police department"	0.10643
"educational institution"	0.105847
"local government"	0.104234
"personnel department"	0.101842
ministry	0.101688
"travel agency"	0.0999073
locality	0.0992822
organs	0.0985266
sub-branches	0.0946814
"local department"	0.0927263
parastatals	0.0913941
"municipal government"	0.0913695
institute	0.0910877
"trade union"	0.0904176
branch	0.0899382
"planning commission"	0.089252
"financial institution"	0.0887157
institution	0.0886053
"regulatory agency"	0.0878728
Procurator	0.0876693
"diplomatic mission"	0.0861401
"branch office"	0.0860275
organ	0.0859642
authority	0.0850573
"customs service"	0.0824886
"sales outlet"	0.0818947
"post office"	0.0806255
enterprise	0.0802796
"U.N. agencies"	0.0791443
"work unit"	0.0790266
"research center"	0.0786968
"insurance firm"	0.0783668
Directorate	0.0763124
"fire brigade"	0.0759677
"Better Business Bureau"	0.0757305
provincial	0.0756392
"industrial enterprise"	0.0749958
"public security"	0.0743735
"State Environmental Protection Administration"	0.0741691
municipality	0.0725197
commission	0.0722969
organisation	0.072145
"non-governmental organizations"	0.0714498
association	0.0711631
"police force"	0.0710038
"television station"	0.0707787
"TV station"	0.070547
committee	0.0705262
"fire department"	0.0705237
"Health Department"	0.0703733
"financial organization"	0.0701251
consulate	0.0698612
Procuratorate	0.0694576
"shipping company"	0.0692847
corporation	0.0692692
university	0.0692078
"chamber of commerce"	0.0688046
personnel	0.0682097
"Ministry of Railways"	0.0680298
"development center"	0.0678007
custom	0.0672223
"State Education Commission"	0.0669873
"law enforcement"	0.0665901
centre	0.0664526
"medical institution"	0.0664029
laboratory	0.0657049
"working group"	0.0656856
"Ministry of Civil Affairs"	0.0654223
"task force"	0.0654083
"Ministry of Justice"	0.0652169
Judiciary	0.0650081
cooperative	0.0649084
"UN agency"	0.0648741
NGOs	0.0648539
"commercial bank"	0.064771
dealerships	0.0645325
"employment agency"	0.0641937
"Red Cross Society"	0.0639845
"commercial enterprise"	0.0632319
"Ministry of Public Health"	0.0631421
clinic	0.0630142
Customs	0.0629035
correspondent	0.0628652
"medical center"	0.0628246
"stock exchange"	0.0627997
"publishing house"	0.0626328
"Department of Trade and Industry"	0.0625955
"finance company"	0.0624983
"State Administration for Industry"	0.0622985
"Federal Emergency Management Agency"	0.0622973
"power grid"	0.062287
"work group"	0.0621702
"Ministry of Education"	0.0620569
brewery	0.0619384
embassy	0.0617935
"trunk line"	0.061615
"manufacturing plant"	0.0615637
websites	0.0613625
"private corporation"	0.0612309
outlet	0.0612179
"State Bureau of Cultural Relics"	0.0609621
"Philippine National Police"	0.0608836
"school district"	0.0606526
"retail store"	0.0606172
"social organization"	0.0603838
Hotlines	0.0603685
bottlers	0.0602077
"power company"	0.0600461
"Central Government"	0.0597653
regulator	0.0597341
"Kosovo Verification Mission"	0.0597321
lab	0.0595618
"Ministry of Public Security"	0.0595506
subsidiary	0.0594792
substation	0.0594593
"fire station"	0.0594109
Secretariat	0.0592284
"Export Processing Zones"	0.0592095
"Forest Service"	0.059159
factory	0.0589944
"Labor office"	0.0587392
"filling station"	0.0586661
"shopping center"	0.0586384
"General Administration of Customs"	0.0585705
Council	0.0583642
"international organization"	0.0582236
"textile mill"	0.0581988
"brokerage house"	0.0581848
"U.S. Information Agency"	0.0581805
"telephone exchange"	0.0581773
"administrative official"	0.0581408
"insurance company"	0.0580288
"subsidiary company"	0.0579922
"Ministry of Construction"	0.0578051
"Interior Ministry"	0.0573229
"National Tourism Administration"	0.057188
"transportation system"	0.0571641
"service station"	0.0571632
Pharmacy	0.0570861
foundations	0.0570377
"petrol station"	0.0568734
"state-owned enterprises"	0.0568115
"patent office"	0.0567618
"control board"	0.0566722
"Department of Transportation"	0.0566335
"information system"	0.0564845
"Federal Security Service"	0.0563527
"joint venture"	0.0562109
"state enterprise"	0.0561158
"trade association"	0.0561137
"polling station"	0.0560822
"Ministry of Forestry"	0.0560673
brokerage	0.0559477
"radio station"	0.0558763
"Civil Aviation Administration of China"	0.0558131
"Federal Bureau of Investigation"	0.0555675
"department store"	0.0555582
"Department of Education"	0.0553941
SOEs	0.0553358
legislature	0.0552319
"futures exchange"	0.0551292
judgeship	0.0550428
eateries	0.0550384
operator	0.0549044
"international criminal court"	0.0548998
airline	0.0548535
"police station"	0.0547767
"hot line"	0.0547551
"investment fund"	0.0547095
"automated teller machine"	0.0547003
hotline	0.0546649
"credit bureau"	0.0546521
"think tank"	0.0546073
"Red Cross"	0.0544469
"control center"	0.0544056
affiliate	0.0543983
"mass media"	0.0543959
zoo	0.0542974
"China National Tourism Administration"	0.0541718
taskforce	0.0540718
"Joint Military Commission"	0.0540569
"State Forestry Administration"	0.0539348
"technical school"	0.0538756
"Environmental Protection Agency"	0.0538096
"electric company"	0.0538017
"business unit"	0.0537962
CAS	0.0536751
"professional association"	0.0533308
"Ministry of Labor"	0.0532901
"art gallery"	0.053211
"chain store"	0.0531721
"Department of Justice"	0.053135
administrator	0.0530909
"State Science and Technology Commission"	0.0530537
utility	0.0530347
))
(bureaux (desc 3623.41) (sims
bureaus	0.215671
bureau	0.120237
"local department"	0.114417
organs	0.108034
procuratorates	0.0998671
"work unit"	0.0916604
parastatals	0.0901171
"social organization"	0.0888482
"planning commission"	0.0847405
locality	0.0815844
"administrative official"	0.0796889
"development center"	0.0783599
"personnel department"	0.0757529
"public security"	0.0756891
"State Bureau of Cultural Relics"	0.0739241
"State Administration of Foreign Exchange"	0.0731022
organ	0.0727191
"local government"	0.0725695
"financial organization"	0.0718393
"financial institution"	0.0705945
"educational institution"	0.0705024
"commercial enterprise"	0.0693153
"non-governmental organizations"	0.0671964
joint-ventures	0.0666752
"Department of Public Health"	0.0666338
"department employee"	0.0661227
"trade union"	0.065954
"fire brigade"	0.0655434
Procurator	0.0654666
"patent office"	0.0653489
subsector	0.0646254
"municipal government"	0.064269
"planning board"	0.0642534
"Kosovo Verification Mission"	0.0636268
"State Administration for Industry"	0.063596
organisation	0.0633961
"regulatory agency"	0.0633214
"work group"	0.0620319
"research center"	0.0617051
consortia	0.061603
"industrial enterprise"	0.0614645
"office staff"	0.0613743
UNRWA	0.0611622
NGOs	0.0610624
UNTAET	0.0601605
Directorate	0.059427
Eximbank	0.0589231
Procuratorate	0.0586631
forester	0.058385
"police office"	0.0583352
"Joint Military Commission"	0.0581101
"Red Cross Society"	0.0579906
"police department"	0.0578353
"Rural Development"	0.0575902
functionary	0.0574815
"Health and Human Services"	0.0574223
sub-branches	0.0574221
"shipping company"	0.0568838
"task force"	0.0568586
"travel agency"	0.0564195
"Civil Aviation"	0.0562594
"UN agency"	0.0562103
"publishing house"	0.0559023
"holiday resort"	0.0557666
"Ministry of Water Resources"	0.055205
"ballet company"	0.054858
SEZs	0.0548216
"service agency"	0.054647
"U.N. agencies"	0.0544212
"Labor office"	0.0542516
"savings bank"	0.0540769
"General Administration of Customs"	0.0540353
SMIs	0.0539619
"State Bureau of Environmental Protection"	0.0539322
"social group"	0.0539196
"Philippine National Police"	0.0537044
"building society"	0.0532362
"private corporation"	0.0532256
Secretariat	0.053071
"credit union"	0.0530665
"sales outlet"	0.0527047
"joint-stock company"	0.0526159
urbanites	0.0525789
"insurance firm"	0.0521793
"commercial bank"	0.0519823
subgroup	0.0517833
conservancy	0.0517697
"Information Office"	0.0516214
"state enterprise"	0.0516129
"branch office"	0.0515331
"Airport Authority"	0.0515168
"information system"	0.0513994
"Central Intelligence Agency"	0.0513529
"Development Research Center"	0.051197
taskforce	0.051068
"working group"	0.0509669
Councilors	0.0509579
UNMIK	0.0505969
"butcher shop"	0.0502369
"Housing and Urban Development"	0.0500086
"private foundation"	0.0499758
"fire department"	0.0497905
"power grid"	0.049656
"Xinhua News Agency Hong Kong Branch"	0.049632
"petrol station"	0.0496161
"Ningxia Hui Autonomous Region"	0.0495892
"National Security Agency"	0.0493985
CNTA	0.049122
inspectorate	0.0490859
"stock company"	0.0490698
"Print Shop"	0.0490251
"Macao Affairs Office"	0.0485302
potentate	0.0483273
"Department of Corrections"	0.0482492
obstetrics	0.048245
"retail store"	0.048234
"animal husbandry"	0.0481291
"international organization"	0.0480253
aeronautics	0.0478998
"control board"	0.0478985
"department head"	0.0477768
"legislative assembly"	0.0477039
"Ministry of Railways"	0.0476706
"Civil Aviation Authority"	0.0475206
"paper mill"	0.0474683
Pemex	0.0473778
centre	0.0471617
"vocational school"	0.0470308
"public works"	0.0469179
"post office"	0.0467641
"brokerage house"	0.0463953
"stock exchange"	0.0462434
CSC	0.0461377
UNPREDEP	0.0460758
"State Administration of Cultural Heritage"	0.0459073
"Ministry of Civil Affairs"	0.0458694
"Presidential Office"	0.045738
storehouse	0.0457096
CMAG	0.0455628
"federal office"	0.0454502
"blood bank"	0.0454465
multinationals	0.0453325
"public utility"	0.0452973
SMEs	0.0452478
meteorology	0.0452355
"Finance Ministry"	0.0451456
"language school"	0.0451285
SDB	0.045126
"Rainbow Room"	0.0451057
websites	0.044885
"Ministry of Public Health"	0.0448743
"U.S. Environmental Protection Agency"	0.044755
"finance company"	0.0446174
"medical institution"	0.0444571
"secondary school"	0.0444344
"Federal Deposit Insurance Corp."	0.0444195
"electric company"	0.0443893
"State Environmental Protection Administration"	0.0442007
"print media"	0.0441967
"transportation company"	0.0441086
"reserve fund"	0.0438287
"trunk line"	0.0438267
"spelling bee"	0.043819
BLM	0.0438092
rationalization	0.043809
"Health Department"	0.0436436
KEDO	0.0434828
"business community"	0.0434047
"power company"	0.0433574
undertaking	0.043281
"Department of Trade and Industry"	0.0432575
"Interior Ministry"	0.0432244
"military unit"	0.0431769
"opera company"	0.0431286
vice-governor	0.0430659
Hotlines	0.0429914
"Agency for International Development"	0.0429845
"medical center"	0.0429146
"mass media"	0.0429002
agronomist	0.0428942
"Commercial Bank of China"	0.0428227
MINURSO	0.0428155
prefect	0.0427515
"committee meeting"	0.0425414
"European Bank for Reconstruction"	0.0424005
"United Nations agency"	0.0422697
land-use	0.0422135
"customs service"	0.0419787
"medical officer"	0.0419356
SEPA	0.0419307
corporates	0.0417848
Standards	0.0417615
"Department of Commerce"	0.0416593
"industrial park"	0.041613
"chain store"	0.0413365
Comelec	0.0412876
"business organization"	0.0412434
"academic program"	0.0412042
"development strategy"	0.0411166
"Ministry of Public Security"	0.0410936
))
(burg (desc 3081.39) (sims
Ciampi	0.107173
Kasoulides	0.09014
Rodionov	0.0778313
Yastrzhembsky	0.0769311
Klima	0.076846
Velayati	0.0749317
Nzo	0.0747109
Bildt	0.0731553
Bishara	0.0716375
Masire	0.0711053
Husseini	0.0690736
Rawabdeh	0.0686537
Abdel-Meguid	0.0676905
Brundtland	0.0675208
Zeng	0.0673249
"De Klerk"	0.0671828
Ruehe	0.0671407
Maslyukov	0.0667745
Striver	0.0664142
Katsav	0.0661501
Bulatovic	0.065902
Lockyer	0.064329
Meguid	0.0642765
Pustovoitenko	0.064213
Hallinan	0.0637053
Shevardnadze	0.0635827
Westendorp	0.0633633
Nemtsov	0.0632285
Ben-Ami	0.0628234
Juppe	0.0625394
Hamlet	0.0625178
Hoss	0.0619893
Pickering	0.0617511
McGuinness	0.0615701
Aznar	0.0615446
Stroyev	0.0614613
Gurirab	0.0611422
DeFrantz	0.0610968
Markovic	0.0609776
Kostov	0.0608507
Lahoud	0.0605357
Hybl	0.0604955
Jayakumar	0.0600292
Nujoma	0.05991
Rifkind	0.0598893
Ruggiero	0.05985
"Yuri Maslyukov"	0.0596966
Severino	0.059519
Kok	0.0592585
Siazon	0.0591966
Zuma	0.0589535
Jia	0.058655
Sensenbrenner	0.0585668
Ashrawi	0.0583182
Cao	0.0580806
Mukora	0.0580492
Kyl	0.0578624
Pastrana	0.0578115
Nasrallah	0.0576319
Aventajado	0.0574457
Zhirinovsky	0.0573721
Boueiz	0.0573433
Amato	0.0572455
Tarawneh	0.057189
Modise	0.0569748
Venables	0.0568724
Markey	0.056676
Tsang	0.0564661
Sezer	0.0562433
Wilhelm	0.0557621
Tian	0.0557493
Weldon	0.0557428
Stahl	0.0556687
Klestil	0.0555914
Galvin	0.0554547
"Sephardic Jews"	0.0553814
Jovanovic	0.0549923
Insulza	0.0549632
Krasniqi	0.0548819
"Yossi Beilin"	0.0548687
Verniero	0.0548071
Scalfaro	0.0546829
Shaath	0.0545376
turbot	0.0544345
Djindjic	0.0543506
Borodin	0.0541311
Bhattarai	0.0539689
Gardiner	0.0538774
"waiting area"	0.0538486
Bradshaw	0.0535824
Patten	0.0535805
Karimov	0.0535179
Portillo	0.0535115
tyke	0.053363
Lim	0.0533592
savant	0.0531198
Kabariti	0.053068
Ikimi	0.0530422
Majko	0.0530353
Juma	0.0529209
Koskinen	0.052833
Eizenstat	0.0527026
Zou	0.0526317
Guterres	0.0525806
Seleznyov	0.0525582
Hynes	0.0525059
backwater	0.0524897
Akbar	0.0523618
Hayworth	0.0523612
Schell	0.0523002
Newsome	0.0522049
Rais	0.0518079
Dewine	0.0517935
Ikeda	0.0516463
Lowery	0.0516252
Lari	0.0515064
"Ahmed Tibi"	0.0514041
Yazdi	0.0513324
Flanagan	0.0512756
Colburn	0.0512097
McCurry	0.0511227
bloke	0.0508114
Hevesi	0.0507899
Duisenberg	0.0507485
Leahy	0.0506046
"Stuart Eizenstat"	0.0505621
Blazevic	0.0505197
Krajisnik	0.0504169
"Bud Selig"	0.0503345
Tsvangirai	0.050315
Mordechai	0.0502681
Kono	0.0502514
Pearce	0.0500703
Houghton	0.0500375
Chabot	0.0499206
Rossotti	0.0499066
Cem	0.0499036
Diouf	0.0498642
Sharma	0.0498436
McCollum	0.0498119
Ogata	0.0496547
Constantinescu	0.0496095
Kumaratunga	0.0495936
Thurmond	0.0495749
guo	0.0495508
Bateman	0.0495085
Aleman	0.0495013
Browne	0.0494455
Fraga	0.049427
Akayev	0.0493351
sis	0.0493023
Nkomo	0.0492891
Mohajerani	0.0492042
Shamshad	0.0490806
Obasanjo	0.0490378
Chuan	0.0490331
Biden	0.0489939
Meciar	0.0489189
Kissinger	0.0489
Sharon	0.0488298
Malu	0.0485999
Wenger	0.048492
Weisman	0.0484646
Kinkel	0.0483265
Harkin	0.0482324
Sheehan	0.0480269
hodgson	0.0480082
Berri	0.0479527
Fu	0.0478776
Gerstner	0.0478682
Hariri	0.0477106
Solana	0.0476018
"King Fahd"	0.0475599
Garcetti	0.0474399
D'Alema	0.0474291
Carnahan	0.0473818
Kharrazi	0.0472688
Shen	0.0472593
Weizman	0.0472579
Lipponen	0.0472267
Kan	0.0472176
"Dos Santos"	0.0471968
Kushner	0.0471808
Barshefsky	0.0471317
Inman	0.0471237
Wolfensohn	0.0470487
Camdessus	0.0470397
Gutman	0.0470297
Beilin	0.0469973
Ghalib	0.0469857
Singson	0.0469436
Rylander	0.0469292
Fiorina	0.0469059
Nadler	0.0469041
Luong	0.0469007
Blackwell	0.0468794
Muoi	0.0468785
millon	0.0468709
Gaffney	0.0468515
Ebersol	0.0468174
))
(burger (desc 9913.33) (sims
burgers	0.212361
Hamburger	0.208968
cheeseburger	0.166925
taco	0.150469
"hot dog"	0.149647
steak	0.143652
sandwich	0.142204
Burrito	0.137169
pizza	0.122349
sausage	0.11998
"chicken wing"	0.114699
"french fries"	0.110343
FRY	0.109276
"chicken sandwich"	0.108663
bratwurst	0.100865
salad	0.0973064
omelet	0.095524
filet	0.090634
sushi	0.0872649
bagel	0.0853966
pancake	0.085202
kebab	0.0849532
"chicken breast"	0.0833286
barbecue	0.0831427
patty	0.0816609
"ground beef"	0.0812395
Chili	0.0799972
soup	0.076903
"short ribs"	0.0769029
chicken	0.0766708
pasta	0.0762741
meatloaf	0.0754313
chop	0.0751462
Lasagna	0.0751259
sundae	0.0739415
bun	0.0733614
pie	0.0732021
ham	0.07276
cheesecake	0.0724493
"filet mignon"	0.0722095
appetizer	0.0710447
cutlet	0.0709989
"Big Mac"	0.0709438
"scrambled egg"	0.0705281
seafood	0.0698028
enchilada	0.0691908
dumpling	0.0684744
cake	0.0684647
pork	0.0678405
nacho	0.0676213
fillet	0.0673981
fajitas	0.0671004
omelette	0.0665612
Carpaccio	0.0662024
franks	0.0659943
noodle	0.0656864
tapa	0.0648674
roast	0.0641611
bread	0.0633899
jerky	0.0628906
"pot roast"	0.0625478
meat	0.0620827
entree	0.0620655
"Caesar salad"	0.0617657
sauce	0.0615357
curry	0.0615271
"ice cream"	0.0612007
pretzel	0.0611268
popcorn	0.06096
dessert	0.0608977
"chicken salad"	0.0607291
potato	0.0604627
dish	0.0604281
ravioli	0.0602554
bacon	0.0600083
Pudding	0.0599782
hotdog	0.0596084
doughnut	0.0595616
Margarita	0.0595549
spaghetti	0.0594498
pasty	0.0592639
"roast beef"	0.0591508
Beer	0.0591075
tenderloin	0.0590569
ragout	0.0589088
pickle	0.0585514
cheese	0.0582417
veggie	0.0581057
meatball	0.0580697
lemonade	0.058061
muffin	0.0579652
Casserole	0.0574012
TART	0.0572323
pastrami	0.0571621
waffle	0.0568681
biscuit	0.056851
scone	0.056239
Loin	0.0561814
cappuccino	0.0561693
rib	0.055775
Tex-Mex	0.0556687
smoothie	0.0555261
"vegetable soup"	0.0554607
shrimp	0.0553635
latte	0.0552256
"potato salad"	0.0552237
takeout	0.0552051
gumbo	0.0550186
cookie	0.0547606
Karr	0.0544005
meal	0.0542142
"chocolate cake"	0.0539374
"Kentucky Fried Chicken"	0.053898
Martini	0.0537851
"potato chip"	0.0537157
snack	0.0537092
shank	0.0534039
Souffle	0.0533239
"peanut butter"	0.0531938
pastry	0.0531429
buffet	0.0530515
Roe	0.0530223
quesadillas	0.052994
confit	0.0517815
brisket	0.0515813
calamari	0.051508
breakfast	0.0512448
tortilla	0.0506474
eggplant	0.0505826
"main course"	0.0502504
Sirloin	0.0502461
KFC	0.0501699
onion	0.0501638
lamb	0.0500513
Catfish	0.0498229
yogurt	0.0497168
TARTARE	0.0496483
milkshake	0.0494285
oyster	0.0493791
"pumpkin pie"	0.0493713
stew	0.0491013
spinach	0.0490185
recipe	0.0488248
bean	0.0485981
crepe	0.0484359
egg	0.0484129
donut	0.0483989
risotto	0.0483462
gravy	0.0481738
"ball club"	0.0481191
cube	0.0480962
Geiger	0.0479789
Tamale	0.0478322
soda	0.0478142
"green salad"	0.0475577
paste	0.047341
polenta	0.0472856
"white meat"	0.0468694
asparagus	0.0468562
"snack food"	0.0468418
croutons	0.0467063
juice	0.0464631
tuna	0.0462588
ale	0.0462523
lettuce	0.0462161
cooky	0.0460868
tomato	0.0460795
Monson	0.0460608
"French toast"	0.0459927
prawn	0.0459473
cracker	0.0458816
tails	0.0458413
dressing	0.0457905
salami	0.0457232
salsa	0.0456782
platter	0.0456631
broth	0.0455606
mussel	0.0453719
"apple pie"	0.0453412
"fruit salad"	0.0452814
caviar	0.0450707
coffee	0.0448409
porridge	0.0447949
"health food"	0.0447604
popsicle	0.0445747
"soft drink"	0.0445489
Wheaties	0.0440073
"corned beef"	0.0439685
"chocolate chip cookie"	0.0436188
McDonald	0.0433806
"baked goods"	0.0433531
"side dish"	0.0432679
candy	0.0432604
supper	0.0432528
toast	0.0431734
granola	0.0431217
"foie gras"	0.0430888
mozzarella	0.0430844
matzoh	0.0429174
dumplings	0.0429003
))
("Burger King" (desc 8935.75) (sims
KFC	0.208608
"Kentucky Fried Chicken"	0.202795
"Pizza Hut"	0.196785
"Taco Bell"	0.18339
MCDONALD's	0.150796
McDonalds	0.123802
"Pepsi Cola"	0.11396
"Best Buy"	0.111877
"Dairy Queen"	0.110546
"Waffle House"	0.108971
Wendy	0.0990008
donut	0.0989905
"Home Depot"	0.0972819
hooter	0.0933886
"Barnes &AMP; Noble"	0.0919738
"convenience store"	0.0910769
"grocery store"	0.0902933
Nabisco	0.0902668
Starbucks	0.0865328
Coca-Cola	0.0855424
deli	0.0852875
Domino's	0.0848582
"P&AMP;G"	0.0842792
Pepsi	0.0842489
"Sara Lee"	0.0837753
Asda	0.0835512
"Rite Aid"	0.0830152
"Planet Hollywood"	0.0828794
"Kraft Foods"	0.0823808
"Coca Cola"	0.0811483
"gas station"	0.079807
drugstore	0.079788
RJR	0.0792593
Citibank	0.0790945
NIKE	0.0788065
"clothing store"	0.0783132
Wal-Mart	0.0782872
"Weight Watchers"	0.0769874
VISTEON	0.0767172
"Old Navy"	0.0764742
Fedex	0.0762387
Frito-Lay	0.0740362
Honeywell	0.0739503
"liquor store"	0.0735369
CVS	0.0734369
Pepsico	0.073083
"Federal Express"	0.0726443
Kroger	0.0725778
supermarket	0.0725299
Carrefour	0.0724709
Sears	0.0724525
"Radio Shack"	0.0719044
"movie theater"	0.070655
cafeteria	0.0706197
delicatessen	0.0702707
coke	0.0702228
"Procter &AMP; Gamble"	0.0700536
Macy	0.0700429
"Con Ed"	0.0698392
Mastercard	0.0693494
"Wells Fargo"	0.0689576
Penney	0.0687499
"Hard Rock Cafe"	0.0683865
Nestle	0.0682462
"Philip Morris"	0.0681107
Saks	0.0679075
IBM	0.0677716
"Knight Ridder"	0.0675775
Safeway	0.0673429
eateries	0.0668479
Delphi	0.0667499
"J&AMP;J"	0.0667437
Caldor	0.0665185
Heineken	0.0664727
"post office"	0.065768
"Gap Inc."	0.0656877
Disney	0.0656637
"service station"	0.0654403
MCI	0.0649772
"General Motors"	0.0649054
Hewlett-Packard	0.0647453
Diageo	0.0645996
"department store"	0.0645434
"Delphi Automotive Systems"	0.0644673
"GE Capital"	0.0644494
REVLON	0.0644396
"Walt Disney Co."	0.0642979
Haagen-Dazs	0.0642347
"Cox Communications"	0.063618
dealership	0.0635676
"Saks Fifth Avenue"	0.0634537
"Ford Motor Co."	0.0633494
AutoNation	0.0632725
Panasonic	0.0628404
"Toys R Us"	0.0628221
Kmart	0.0627066
Gillette	0.0623825
Hilton	0.062091
"coffee shop"	0.0618272
"truck stop"	0.0616539
"Holiday Inn"	0.0616456
"Neiman Marcus"	0.0615753
Gerber	0.0614639
Albertson's	0.0614231
bakery	0.0614012
"restaurant chain"	0.0614003
"Coca-Cola Co."	0.0613308
"Stride Rite"	0.0613077
BellSouth	0.0611336
Tropicana	0.0609765
Pillsbury	0.0609763
"MCI WorldCom"	0.0609143
Reebok	0.0608977
bistro	0.0608839
"United Airlines"	0.0607624
Pharmacy	0.0604935
Coors	0.0603315
Merck	0.0602762
"FAO Schwarz"	0.0601326
"hardware store"	0.060076
Levi's	0.0600273
Chrysler	0.0599072
Ritz-Carlton	0.0598895
CompUSA	0.0598838
"toy store"	0.0596504
"Estee Lauder"	0.0595338
ENTERGY	0.0594861
pub	0.0594349
"Fred Meyer"	0.0593125
Mattel	0.0592692
"Johnson &AMP; Johnson"	0.0590291
Volvo	0.0589025
"Sprint PCS"	0.0587361
TYCO	0.0587357
Xerox	0.0587197
Denny	0.0582078
"British Foreign Office"	0.0581969
Kodak	0.057941
"Land Rover"	0.0578319
BofA	0.0577464
"bowling alley"	0.057698
"Krispy Kreme"	0.0576917
F.A	0.0575107
Nordstrom	0.0573799
"shoe store"	0.0571976
"American Express"	0.0571738
Chevron	0.0570715
Mercedes-Benz	0.05703
Raytheon	0.0569829
Marlboro	0.0566242
Volkswagen	0.0563312
Saturn	0.0563309
Kellogg	0.0563266
Motorola	0.0562029
Walmart	0.0561881
Enron	0.0560718
Heinz	0.0560466
"Cadbury Schweppes"	0.0559907
"Conde Nast"	0.0558037
"R.J Reynolds"	0.0557163
"Time Inc."	0.055678
"Pepsico Inc."	0.0556746
Anheuser-Busch	0.0556674
Kinko	0.055411
Orangina	0.0553306
AHP	0.0553212
"Delta Air Lines"	0.0553076
tavern	0.0552141
Broderbund	0.055073
fidelity	0.055011
Compaq	0.0550012
"Circuit City"	0.0549858
sawmill	0.0548084
Overnite	0.0546283
"transit authority"	0.0546056
"J.C. Penney"	0.054548
Budweiser	0.0545285
Intel	0.054425
NiSource	0.0544003
"Levi Strauss"	0.0543934
Woolworth	0.0543468
"U.S. Soccer Federation"	0.0543304
Staples	0.0542918
BMG	0.0541895
"Southwest Airlines"	0.0541466
"discount store"	0.0541181
HP	0.0539144
"gasoline station"	0.053749
"Lord &AMP; Taylor"	0.0536729
Sunbeam	0.0535805
oracle	0.0535783
Starwood	0.0532155
Pfizer	0.0532112
Barneys	0.053107
boutique	0.0530672
PETA	0.0530457
"Time Warner"	0.0530169
DaimlerChrysler	0.0529606
Disneyland	0.0529348
Nortel	0.0527968
))
(burgers (desc 13379.1) (sims
Hamburger	0.227338
burger	0.212361
steak	0.201511
"hot dog"	0.190758
cheeseburger	0.166576
"french fries"	0.164029
"chicken wing"	0.15466
pizza	0.153658
taco	0.152945
sandwich	0.152225
sausage	0.150724
Burrito	0.140099
salad	0.138779
cutlet	0.136548
chop	0.13642
chicken	0.13508
kebab	0.129522
soup	0.128359
fajitas	0.124888
Lasagna	0.120835
FRY	0.12034
bratwurst	0.119707
ham	0.119671
meat	0.118688
"vegetable soup"	0.11712
meatloaf	0.116666
quiche	0.115389
"chicken breast"	0.114575
"chicken sandwich"	0.11382
"French toast"	0.112799
pasta	0.112215
"potato salad"	0.111303
filet	0.111067
patty	0.109155
"macaroni and cheese"	0.107709
shrimp	0.107033
"Caesar salad"	0.106965
seafood	0.106755
pancake	0.106468
omelet	0.104637
sushi	0.103197
spaghetti	0.102906
fillet	0.100669
bread	0.100147
brisket	0.0998414
bacon	0.0995464
pork	0.0991562
Chili	0.0986166
stew	0.0985434
entree	0.0946804
rib	0.0943064
nacho	0.0942439
dish	0.0941135
"filet mignon"	0.0939894
beef	0.0939144
"cold cuts"	0.0938086
dumpling	0.0928589
barbecue	0.0925133
noodle	0.0923532
"ice cream"	0.0921243
cheese	0.0918282
"ground beef"	0.0912276
bean	0.0908527
cake	0.0901909
pie	0.08973
quesadillas	0.088926
tenderloin	0.0888063
frittata	0.0887994
vegetable	0.0887168
appetizer	0.086822
potato	0.0867773
pretzel	0.0866916
"roast beef"	0.0865214
Tamale	0.0864394
meatball	0.0859538
popcorn	0.0859367
dessert	0.0850973
focaccia	0.0847612
gumbo	0.0840457
mussel	0.0838429
roast	0.0834867
Casserole	0.082473
bagel	0.0821932
soda	0.0820586
"pot roast"	0.0820515
jerky	0.0819804
egg	0.0819737
biscuit	0.0812376
ravioli	0.0812138
tuna	0.0809391
veal	0.0808698
sauce	0.0803919
milkshake	0.0798205
"soft drink"	0.079508
tortilla	0.0795019
"baked goods"	0.0787149
muffin	0.0786263
Sirloin	0.0779533
snack	0.0779013
cooky	0.077763
lobster	0.0776306
Carpaccio	0.0774755
salmon	0.077316
veggie	0.0772285
tortellini	0.0772163
cheesecake	0.0770058
"main course"	0.0762421
meal	0.076057
paella	0.0757066
pastry	0.0756331
yogurt	0.0751953
enchilada	0.0748874
fish	0.0740757
macaroni	0.0736405
lamb	0.0730569
drumstick	0.0723112
milk	0.0719341
Beer	0.0718891
asparagus	0.0714281
onion	0.0711529
doughnut	0.0708772
coffee	0.0704539
"scrambled egg"	0.0704506
spinach	0.0703717
omelette	0.070347
porridge	0.0699874
scallop	0.0699379
"corned beef"	0.0698624
tomato	0.0696352
mushroom	0.0693816
fritter	0.0690542
corn	0.0690388
"peanut butter"	0.068858
"salad dressing"	0.0685639
broth	0.0684742
"beef tenderloin"	0.0682733
coleslaw	0.0680297
slice	0.06775
juice	0.067692
bun	0.0676021
"fish fillet"	0.0675861
"short ribs"	0.0668575
"side dish"	0.0668143
sundae	0.0668101
cereal	0.0667058
"leg of lamb"	0.0663192
candy	0.0662902
risotto	0.0662502
takeout	0.0658164
tofu	0.0657567
"green salad"	0.0655198
gravy	0.0654835
fruit	0.0653082
shortcake	0.0651373
curry	0.0647622
"soda pop"	0.0646658
skewer	0.0646394
Loin	0.0644819
"dairy product"	0.0644615
pastrami	0.0644554
TARTARE	0.0642008
"potato chip"	0.064154
"green bean"	0.0641312
"corn chip"	0.0640733
guacamole	0.0638895
donut	0.0638658
Broccoli	0.0637986
grits	0.0635227
"orange juice"	0.063471
"chicken salad"	0.0634208
"collard greens"	0.0632956
croissant	0.0632827
pickle	0.0629688
pea	0.0628465
lettuce	0.0624165
"chocolate cake"	0.062301
bulgur	0.0618654
TART	0.0616817
"fresh fish"	0.0616446
crepe	0.0616418
cabbage	0.0611463
"pork tenderloin"	0.0610496
cuisine	0.0605921
dumplings	0.0605363
"Big Mac"	0.0602606
ketchup	0.0598359
confit	0.0597877
cracker	0.059534
wine	0.0594424
shank	0.0592994
salsa	0.0591636
smoothie	0.059155
franks	0.0591266
"iced tea"	0.0589836
halibut	0.0589673
cornbread	0.0586863
loaf	0.0584112
salami	0.0583082
Garlic	0.0579882
recipe	0.057819
))
(Burgess (desc 2059.85) (sims
Pearce	0.107933
Greenwald	0.0989424
Kurtz	0.095999
DeFrantz	0.0952074
Kingsley	0.0921536
Rivlin	0.0890602
Hamlin	0.087983
Cleary	0.0876608
Shulman	0.0876208
McIntyre	0.0844985
Rowley	0.0840498
Ervin	0.0839139
Sheehy	0.0828096
Orton	0.0814546
Begala	0.0812986
Britton	0.0807842
Ivey	0.0792874
Barbour	0.0792211
Ono	0.0791814
Kirkpatrick	0.078277
Birch	0.0780794
Sorensen	0.077699
Knapp	0.077269
T.J	0.0768413
Jamison	0.0759764
Swenson	0.0758996
Muir	0.0758897
Biggs	0.0750863
Nasrin	0.0746446
Hybl	0.0746253
McCormack	0.0738368
Grunwald	0.0735578
Betts	0.0733295
Vogel	0.0733114
Tong	0.0730682
Fiorina	0.0723004
Harman	0.0720431
Avila	0.0720419
Tuttle	0.0718759
Seligman	0.0718302
McDonnell	0.0717145
Zuckerman	0.0714855
Snowe	0.0713335
Wasserstein	0.0710931
Molinari	0.0709064
Lockwood	0.0708252
Scruggs	0.0704959
Arbour	0.0698005
Hanley	0.0695875
Jacke	0.0687947
Trevi	0.0687407
Mucha	0.0682554
Hirsch	0.0681261
Richards	0.0678348
Merritt	0.0676342
Weil	0.0675593
Seltzer	0.0675575
Bizimungu	0.0675233
Xiao	0.0674457
McCombs	0.0670049
Rosenthal	0.0668351
Grossman	0.066835
Menchu	0.0668056
Henley	0.0663592
Chappell	0.0661058
Tharp	0.0657247
Nakamura	0.0655316
Farber	0.0653019
Halberstam	0.0652825
Lacey	0.0647203
Meissner	0.0641332
Brazile	0.064006
Woodruff	0.0639586
Chenoweth	0.0637942
hector	0.0635989
Royce	0.063587
Wiggins	0.06343
Yates	0.0634028
Bassett	0.0633038
Meng	0.0631205
Mahoney	0.0630782
Mckee	0.0630341
Kagame	0.0629944
Carlson	0.0628986
Clements	0.0627365
Earle	0.0626986
Fink	0.0625775
Crocker	0.0624644
Barad	0.0623765
Phelps	0.0622235
Gilligan	0.0621931
Morley	0.0621529
Heche	0.0619997
Yazdi	0.0617447
Suarez	0.0617341
Donnelly	0.0617341
Vasquez	0.0616792
Cline	0.0616577
Maynard	0.061523
Gaffney	0.0614012
Janssen	0.0612735
Haines	0.0608384
Atkinson	0.0608363
Healy	0.0605858
singleton	0.0605153
Ogden	0.0603219
Tagliabue	0.0600573
Lambert	0.0597428
Garber	0.059692
Coppola	0.0595626
Bragg	0.0594174
Carmichael	0.0593824
Allende	0.0593481
Osborne	0.0591354
COYNE	0.0591113
Giacchetto	0.0589755
Grossberg	0.0589623
Jorgensen	0.058805
Mayer	0.0587907
Fernandes	0.0587804
Yoon	0.0587037
Lundberg	0.0586884
Stacy	0.0586312
Shearer	0.0585654
Stroyev	0.0585034
REEVE	0.0584311
Schott	0.0583649
Hahn	0.0583445
Spielman	0.0583291
Kern	0.0581234
Abram	0.0580714
Adkins	0.0579416
franklin	0.057742
Purcell	0.0576911
Rosen	0.0576802
Tam	0.0576479
Rowan	0.0574524
Edson	0.0573683
Meeks	0.0573503
Cox	0.0572911
Schwartz	0.0572873
Pape	0.0572156
Satcher	0.0572097
Simons	0.0572038
Mathews	0.0570533
Cao	0.0570463
Adair	0.0569682
Adler	0.0569357
Ince	0.0567948
Feldman	0.0567893
Roberson	0.0563182
Venables	0.0559434
Forrest	0.0559367
Azinger	0.0557713
LeBlanc	0.0557695
Nilsson	0.0557591
Soliah	0.0556629
Northup	0.0556122
Lowry	0.0555972
Horne	0.0555968
Powers	0.0554386
Greenwood	0.0553841
Menino	0.0553679
McDonald	0.0553606
Gallagher	0.0552447
Cramer	0.0551372
Ashrawi	0.0550783
Klein	0.055067
Hadley	0.0549353
Gravano	0.0549073
"Brooke Bennett"	0.0548676
Bronson	0.0548185
Barlow	0.054688
Pearson	0.0546756
Albrecht	0.0546533
Farrell	0.0546239
Merlino	0.0546096
Farley	0.0545924
Berenson	0.0545062
Fay	0.0544904
Pascal	0.0543668
Stillman	0.0542721
Moscoso	0.0542679
Lai	0.0542219
McFadden	0.0541592
Jarvis	0.0541354
JONAS	0.0540838
Henning	0.0540173
Husseini	0.0539136
Sommer	0.0538032
Margolis	0.0537973
Masire	0.0537434
Meyers	0.0537042
Gutman	0.0537004
Herman	0.0536952
Rubinstein	0.0536455
Halloran	0.0536369
McKenzie	0.0535304
Hecht	0.0535196
Mason	0.0534914
))
(burgher (desc 1375.67) (sims
lexicographer	0.0624875
prefect	0.0526303
U-boat	0.052333
Triptych	0.0496209
"plantation owner"	0.0469407
Aegon	0.0458646
colonist	0.0449445
"General Committee"	0.0443501
heiress	0.0441972
Washingtonian	0.0436092
aldermen	0.0426886
portraiture	0.0418855
bourgeoisie	0.0412242
colonizer	0.0411739
"Texas Democrats"	0.0403427
Chancellor-elect	0.0402205
"Johan Cruyff"	0.0400722
))
(burglar (desc 8903.41) (sims
robber	0.200678
thief	0.184512
Rapist	0.160091
looter	0.15667
mugger	0.146956
arsonist	0.143566
swindler	0.140408
intruder	0.133786
vandals	0.132977
murderer	0.130098
"drug dealer"	0.121749
pickpocket	0.121181
kidnapper	0.120258
assailant	0.120022
"child molester"	0.11849
bandit	0.106505
thug	0.10533
attacker	0.102434
smuggler	0.101925
rioter	0.100209
criminal	0.0995156
"drug trafficker"	0.0983813
hacker	0.098029
hoodlum	0.0956923
Hijacker	0.0955403
"serial killer"	0.0949105
assassin	0.0948384
shoplifter	0.0925182
poacher	0.0924682
gangster	0.091463
rustler	0.0912473
Klansmen	0.0876365
Killer	0.0873949
gunmen	0.0871845
felon	0.0871613
"robbery suspect"	0.0853796
pedophile	0.0850198
"con man"	0.0839098
terrorist	0.083705
gunman	0.0830003
pedophiles	0.0828946
crook	0.0804841
extortionist	0.0804799
forger	0.0788823
"con artist"	0.07854
schemer	0.0781119
offender	0.0761567
stalker	0.0758541
"murder suspect"	0.0753212
skinhead	0.074462
"drug lord"	0.0737951
counterfeiter	0.0736936
marauder	0.0734994
musketeer	0.0714304
beater	0.0709171
hooligan	0.0704216
abductor	0.0698746
TORTURER	0.0694081
accomplice	0.0688266
electrician	0.0686122
abuser	0.0684908
supremacist	0.0675897
neo-Nazis	0.0671281
guardsmen	0.0664923
"hit man"	0.0661407
"military man"	0.0659735
policemen	0.0659309
miscreant	0.0659024
perjurer	0.0655084
"police officer"	0.0649743
perpetrator	0.0648914
mobster	0.0648631
snakehead	0.0640336
trafficker	0.0638898
stone-throwers	0.0637983
trespasser	0.0635723
ex-con	0.063534
conspirator	0.0634411
paramilitary	0.0629444
panhandler	0.0629171
"drug addict"	0.0628081
militant	0.0623427
Borrego	0.0618319
mutineer	0.0613202
Vandal	0.0609455
prostitute	0.0608146
"security guard"	0.0606508
sniper	0.0605721
extremist	0.0605622
fugitive	0.0605482
mercenary	0.060497
spy	0.0602697
juvenile	0.0592746
beggar	0.0591578
"black man"	0.0586636
"Ahmed Ressam"	0.0584274
Minnesotan	0.0582393
Cop	0.0581104
bully	0.0576867
policeman	0.0576862
misfit	0.0574882
adventurer	0.057264
plotter	0.0570434
bomber	0.0570337
hitchhiker	0.0569692
ex-convicts	0.056924
junkie	0.0565069
escapee	0.0564855
"Angel Maturino Resendiz"	0.056393
"bad guy"	0.0562465
co-conspirator	0.0558059
"white man"	0.0558008
Palczynski	0.0552726
tyrant	0.0552252
woodworker	0.0550031
anarchist	0.054913
vagrant	0.0546158
pirate	0.0545525
teen-ager	0.0544767
Jelisic	0.0544513
illegals	0.0544132
Nazi	0.0541924
infiltrator	0.0541467
"foster mother"	0.0541147
gang	0.053808
handyman	0.0537823
squatter	0.0534347
"private investigator"	0.0533156
racketeer	0.0532561
"intelligence agent"	0.0531741
logger	0.0530651
Ressam	0.0530123
transient	0.0528703
Pusher	0.0528566
QBs	0.0527274
"young man"	0.0526862
prankster	0.0526563
"army officer"	0.0525089
troublemaker	0.052427
patrolmen	0.052417
ex-convict	0.0523207
"call girl"	0.0522273
"double agent"	0.0520851
"war criminal"	0.0519855
gambler	0.0516545
"truck driver"	0.0516016
inmate	0.0512636
Intimidator	0.0510916
profiteer	0.050938
Agca	0.0508213
mob	0.0508043
Interahamwe	0.0506562
Colombian	0.0503565
adulterer	0.0503433
baserunners	0.0502689
wrongdoer	0.0501248
shooter	0.0501023
motorcyclists	0.0498682
balloonist	0.0498196
pimp	0.0497334
passerby	0.0496681
launderers	0.0496218
"electrical engineer"	0.0495744
lawman	0.0495421
separatist	0.0493774
cheater	0.0488759
Lugo	0.0488261
militiamen	0.048792
Sorcerer	0.0486718
tribesman	0.0486131
guerrilla	0.0485996
aggressor	0.0485637
"enlisted man"	0.0485307
Stealers	0.0485003
coward	0.0482982
Algerian	0.0482777
puppeteer	0.048251
Laudor	0.0481729
schoolboy	0.04815
jogger	0.0481233
heatwave	0.0481134
"Maturino Resendiz"	0.0480177
Barton	0.0479327
gunshot	0.0479291
"evil spirit"	0.0477901
saboteur	0.0477842
fortuneteller	0.0477215
screenwriter	0.0477137
Gurule	0.0476851
despot	0.0476439
goon	0.0475477
daredevil	0.0475057
lowlife	0.0473337
"federal agent"	0.0471938
"air force officer"	0.0471346
Dutchmen	0.0471296
crossers	0.0471174
"black person"	0.0470374
"Terry Nichols"	0.0470332
"football player"	0.046909
))
(burglary (desc 19975.7) (sims
robbery	0.331148
"armed robbery"	0.294109
theft	0.27063
arson	0.254986
manslaughter	0.247087
"sexual assault"	0.242976
rape	0.23548
kidnapping	0.232403
break-in	0.22629
homicide	0.2247
"grand larceny"	0.22212
larceny	0.221481
extortion	0.215891
forgery	0.213032
endangerment	0.20596
murder	0.200701
felony	0.194108
racketeering	0.190305
embezzlement	0.188253
assault	0.180712
"child abuse"	0.17913
bribery	0.178812
hijacking	0.178808
sodomy	0.176789
vandalism	0.175371
"drug trafficking"	0.174103
shoplifting	0.165718
conspiracy	0.164939
fraud	0.162026
holdup	0.160772
"resisting arrest"	0.159212
"securities fraud"	0.158977
"disorderly conduct"	0.157093
treason	0.153045
abduction	0.151481
"money laundering"	0.149603
crime	0.148552
molestation	0.146863
"tax evasion"	0.144693
smuggling	0.144186
slaying	0.14291
misdemeanor	0.1425
"mail fraud"	0.140565
possession	0.140316
sedition	0.140242
carjackings	0.138506
"assault and battery"	0.135698
perjury	0.130715
trespass	0.128669
espionage	0.127868
trafficking	0.126218
prostitution	0.125757
killing	0.124374
looting	0.123343
abuse	0.122709
tampering	0.120614
genocide	0.11961
"war crime"	0.113593
"false imprisonment"	0.112537
"stolen property"	0.112429
mugging	0.111567
obstruction	0.110628
subversion	0.110609
torture	0.108195
violation	0.107743
"insider trading"	0.105762
harassment	0.104594
heist	0.104317
driving	0.103425
corruption	0.103202
mischief	0.102814
bombing	0.10266
assassination	0.102648
terrorism	0.10236
beating	0.101646
"murder charge"	0.101505
spying	0.100236
indecency	0.0999859
misconduct	0.0983217
"high treason"	0.0978235
offence	0.0975343
solicitation	0.0955222
stalking	0.0954087
sabotage	0.094626
graft	0.0944513
shooting	0.0928877
gunrunning	0.0921035
piracy	0.0920281
battery	0.091445
"drive-by shooting"	0.0910425
"organized crime"	0.0903913
hostage-taking	0.0900046
violence	0.0894029
cover-up	0.0883374
mutiny	0.08758
"contempt of court"	0.086736
suicide	0.0862774
massacre	0.086187
negligence	0.0853235
scam	0.084445
offense	0.084339
rioting	0.0842656
"mass murder"	0.0842192
complicity	0.0839532
bribe-taking	0.0837111
poisoning	0.0837018
"drug use"	0.0834243
"drug abuse"	0.0822589
"sexual harassment"	0.0822164
"fatal accident"	0.0815292
cruelty	0.0813895
blackmail	0.0812441
wrongdoing	0.0805971
incest	0.079869
maiming	0.0780359
burnings	0.0769578
stabbings	0.0767479
adultery	0.0763048
riot	0.0753188
raid	0.0744848
incitement	0.0736807
ambush	0.0732772
intimidation	0.0731004
dereliction	0.0730531
incident	0.0724798
accident	0.0717882
libel	0.0714837
hooliganism	0.0705144
banditry	0.0703826
atrocity	0.0700476
misuse	0.0690336
"lying under oath"	0.0689421
"drug case"	0.0685141
"juvenile delinquency"	0.0683599
neglect	0.0676346
"breach of trust"	0.067378
firearm	0.0671652
pornography	0.0668634
gambling	0.0654174
irregularity	0.0652639
"drug sale"	0.06469
disappearance	0.0646796
conviction	0.0645505
price-fixing	0.0638265
misappropriation	0.0635242
coverup	0.0630676
brutality	0.0628365
rustling	0.0626647
narcotic	0.0624628
falsification	0.0616306
"fraud charge"	0.0613914
cocaine	0.0612746
mutilation	0.060994
criminal	0.0609739
intoxication	0.0607874
poaching	0.0603022
infraction	0.0597101
contempt	0.0596035
malpractice	0.0591778
disturbance	0.0589374
blasphemy	0.0589348
defamation	0.0580053
breach	0.057933
"coup attempt"	0.057907
altercation	0.0576398
seizure	0.0575969
"bomb blast"	0.0575047
fatality	0.0574948
spree	0.0572069
drownings	0.0561526
explosion	0.0559096
destruction	0.0553629
scandal	0.055171
drunkenness	0.0550824
drinking	0.0550395
marijuana	0.0550003
torching	0.0549091
felon	0.0545449
dumping	0.0543081
slaughter	0.0542877
Execution	0.0542583
abandonment	0.0542022
evasion	0.0541854
lynching	0.0537178
"sex act"	0.0536259
involvement	0.0535701
pedophilia	0.0534996
delinquency	0.0534918
"drug addiction"	0.052737
impropriety	0.0527342
lying	0.0513871
indictment	0.051373
"foul play"	0.0513237
offender	0.0512517
mishap	0.0511164
bribe	0.0509856
speeding	0.0504349
Disobedience	0.0503916
incursion	0.0501911
manipulation	0.0501685
))
(Burgos (desc 1784.14) (sims
"English Football Association"	0.122974
Langkawi	0.118934
"San Sebastian"	0.107216
Catalonia	0.10252
Fiorina	0.0957664
"Philippine Stock Exchange"	0.0948776
"International Badminton Federation"	0.0939354
Salamanca	0.0916728
Halle	0.0910349
"Volleyball Championship"	0.0908905
"Wimbledon Tennis Championships"	0.089811
Linz	0.08905
Puglia	0.0883183
Oliveira	0.0829877
Isfahan	0.0815
"Melbourne Park"	0.0810267
Whitbread	0.0808784
Dodoma	0.0794578
Hobart	0.078888
"St Petersburg"	0.0778807
Mucha	0.0777915
Basle	0.0754789
"London Metal Exchange"	0.0750585
"U. S.dollars"	0.0748378
"Turkish Daily News"	0.0742635
Cochabamba	0.0741077
Avila	0.0736478
Kurth	0.0733032
Beira	0.0731874
"Hang Seng China-Affiliated Corporations Index"	0.072554
Oro	0.0725482
"European Swimming Championships"	0.0714754
"Tour de France"	0.0711939
"over @@@ kilometers"	0.0711546
PALERMO	0.0709246
"French Foreign Ministry"	0.0708814
Trondheim	0.0708
Duesseldorf	0.0707499
Sestriere	0.0705429
Kitzbuehel	0.0696429
Filderstadt	0.0695408
Golmud	0.0691998
Allende	0.0687799
"Russian Defense Ministry"	0.0683805
Dunkirk	0.0681741
"Singapore dollar"	0.0674883
"World University Games"	0.0666937
Rowley	0.0666778
Palma	0.0663946
Rivlin	0.0663225
Eastbourne	0.0660643
"Turkish Foreign Ministry"	0.0658153
Bamiyan	0.0657488
Lahti	0.0657387
Casas	0.0653573
O'Hara	0.0653534
Bremen	0.0653279
Wasserstein	0.0651131
"Football Association"	0.0650773
Hanover	0.0650735
"Indian Wells"	0.0650013
Hakuba	0.0645419
DeFrantz	0.0641942
Simone	0.0641669
espana	0.0639873
Benguela	0.0632149
"Hopman Cup"	0.0630535
Flanders	0.0629512
Cordoba	0.0629309
"Tareq Aziz"	0.062913
Gudermes	0.0625487
Bailundo	0.0625468
Novosibirsk	0.0623231
"Swiss Open"	0.0623086
"Paris Open"	0.0622868
Menchu	0.0620712
Valencia	0.0615437
Britton	0.0612812
"Asian Winter Games"	0.060523
BASEL	0.0604318
Brazile	0.0595249
"Secretary General Esmat Abdel-Meguid"	0.0595126
Cebu	0.0594334
"Iranian Foreign Ministry"	0.0593205
"Diamond Mountain"	0.059089
"New York City Marathon"	0.0589017
Almeida	0.0588402
Moroni	0.0583133
"New York-New Jersey MetroStars"	0.0583045
Merida	0.0582123
Plata	0.0582027
Webdale	0.0581683
Ashrawi	0.0580881
Upshaw	0.0577937
"Anatolia News Agency"	0.05762
Tete	0.0574893
Kabwe	0.0574236
Cline	0.0571676
COYNE	0.0570482
Rosario	0.0569102
"Nagano Winter Olympics"	0.0568166
Madras	0.0567888
Barros	0.0562564
Perth	0.0561777
"San Bernardino"	0.0561695
Hickman	0.05609
Lange	0.055941
Calais	0.0558949
"London Stock Exchange"	0.0556235
Grunwald	0.0553794
Bruijn	0.055276
Giro	0.0552748
Dodgertown	0.0551311
Garza	0.0551196
Huambo	0.0550769
Lockwood	0.0550522
"Russian Foreign Ministry"	0.0550387
"World Cycling Championships"	0.0549353
Soweto	0.0549267
"Hilton Head"	0.0549102
Cleary	0.0547477
pressman	0.0546744
Rothschild	0.0546317
Hamlin	0.0545584
Dushanbe	0.0545442
Nagoya	0.0545373
Jaffe	0.054374
Knapp	0.0543309
Zaragoza	0.0543191
"Jordanian King Abdullah Bin Hussein"	0.0541833
Nasrin	0.054126
Antwerp	0.0540136
"Dow Jones Newswires"	0.0538873
"Atlanta Thrashers"	0.0538809
Bessette	0.0537656
SENDAI	0.0536517
Carlsbad	0.0536228
Santander	0.0536068
Orton	0.0535753
Durres	0.0535446
KPU	0.0534936
Kagalovsky	0.0534439
Maritz	0.0534341
"margin call"	0.0532587
Tharp	0.0531148
Sills	0.0530139
Godfrey	0.0529714
"Vietnam News"	0.052776
Baum	0.0527734
Lille	0.0524897
burrows	0.0523359
Brasil	0.0523115
"Lipton Championships"	0.052268
"CHIANG MAI"	0.0521201
pompadour	0.0520754
Lipstadt	0.0520683
Quito	0.0520659
Huffington	0.0518468
Krasnoyarsk	0.0517883
Kuito	0.051777
Mckee	0.0516545
Sorensen	0.0516487
Pape	0.0515092
Italia	0.0514083
Deneuve	0.0513962
Klerk	0.0513549
Makeni	0.0513369
Greco	0.0511467
Jeffers	0.0510991
Liege	0.0510576
Sommer	0.0510547
Hanley	0.0509859
"Stockholm Open"	0.0509695
Malmo	0.0509192
"San Cristobal"	0.0507028
Manheim	0.0506868
Adelaide	0.0506531
Albrecht	0.0505927
Northup	0.0505601
"Vietnam News Agency"	0.0504553
Tuttle	0.0504408
Asuncion	0.0504011
Edson	0.0502368
Guayaquil	0.0501757
Andulo	0.050125
Krall	0.0500568
Muir	0.0500299
Falco	0.0499874
OCA	0.0499661
Doha	0.0499594
Londonderry	0.0499052
Hartman	0.0497096
Charleroi	0.0496996
Fink	0.0496615
Tachilek	0.0496475
Briscoe	0.0496004
McCormack	0.0495973
Janssen	0.0495954
Corsica	0.0494205
Barad	0.0493963
))
(Burgundy (desc 9199.83) (sims
"dark blue"	0.135527
"royal blue"	0.132974
"navy blue"	0.132584
turquoise	0.130241
mauve	0.122817
aqua	0.1085
"dark red"	0.10842
beige	0.108033
garnet	0.104121
Cabernet	0.102634
Pink	0.100769
taupe	0.100578
"deep red"	0.10035
periwinkle	0.0995839
maroon	0.0982946
Yellow	0.0963953
Riesling	0.0960453
plaid	0.0953282
"Pinot noir"	0.0942888
purple	0.0935822
Zinfandel	0.0935714
silk	0.093496
Beaujolais	0.0922038
crimson	0.0918375
merlot	0.090635
Chardonnay	0.0896664
Chianti	0.0887742
"olive green"	0.086207
Orange	0.0858724
"polka dot"	0.0835109
lavender	0.0819763
"sparkling wine"	0.0816749
velvet	0.0809003
Cognac	0.0808431
violet	0.0806013
fuchsia	0.0792071
"Cabernet Sauvignon"	0.076718
indigo	0.0752029
Bordeaux	0.0745869
bubbly	0.0743579
Rhone	0.0742319
cashmere	0.0731084
"red wine"	0.0720279
taffeta	0.0681627
champagne	0.0670374
gray	0.0660527
"Napa Valley"	0.0659106
wine	0.0659053
"white wine"	0.0655557
chartreuse	0.0651599
"Dom Perignon"	0.0642371
plum	0.0638961
wool	0.0638261
mohair	0.0637508
"powder blue"	0.0635573
teal	0.0628666
clingy	0.062791
Amber	0.0619479
"Sauvignon blanc"	0.0603667
tan	0.0600531
peach	0.059523
lace	0.0591608
vintage	0.0580551
"Bordeaux wine"	0.0578351
denim	0.0575393
nylon	0.0574483
ivory	0.0573125
pastel	0.0572058
tweed	0.0569428
Scarlet	0.0567265
"black and white"	0.0563378
Pendleton	0.0562372
suede	0.0560221
coral	0.0556871
bourbon	0.0554904
brocade	0.0549116
tequila	0.0547463
grey	0.0544565
leather	0.0542237
snakeskin	0.0540327
neon	0.0538008
polyester	0.053745
Syrah	0.0537256
Versace	0.0527064
emerald	0.0519006
Napa	0.0516897
"Sonoma County"	0.0516465
"Pinot blanc"	0.0514688
lipstick	0.0513061
COUTURE	0.0510102
scotch	0.0509803
Ruby	0.0508613
organza	0.0508463
"food coloring"	0.0506195
chenille	0.0504874
Alsace	0.0501647
worn	0.0495552
sherry	0.0494687
pullover	0.049452
linen	0.0492977
khaki	0.0492926
lilac	0.0489531
slit	0.048539
brandy	0.0483784
stripe	0.0475477
"Chenin blanc"	0.0469722
grape	0.0468652
cobalt	0.0463877
tulle	0.046092
"Donna Karan"	0.045854
cotton	0.045381
"California wine"	0.0452207
Tuscany	0.0451475
shag	0.0451225
Piedmont	0.0448036
vermouth	0.0446112
ketchup	0.0442143
lime	0.0441361
flannel	0.0440991
caviar	0.0440618
cream	0.0440422
"leather jacket"	0.0438777
confetti	0.0436237
Drenica	0.0434815
rust	0.0434343
mustard	0.0429447
jersey	0.0428246
shade	0.0427811
camel	0.0427526
paisley	0.0425128
Calvados	0.0423256
vinyl	0.0422246
blond	0.0421495
Decani	0.0417146
tuxedo	0.0416676
whisky	0.0414349
"light brown"	0.0412953
drawstring	0.0408822
hue	0.0407066
DKNY	0.0405958
Martini	0.0401221
))
(burial (desc 28790.2) (sims
funeral	0.167082
cremation	0.144444
interment	0.1322
wedding	0.0984801
exhumation	0.0938835
"wedding ceremony"	0.0896986
circumcision	0.0843331
autopsy	0.081882
Execution	0.0785132
ceremony	0.0767099
Grave	0.0763874
repatriation	0.0760368
memorial	0.0737544
"religious ceremony"	0.0714362
baptism	0.0701309
evacuation	0.0675479
"burial site"	0.0673612
resettlement	0.0665499
removal	0.0656704
tomb	0.063818
divorce	0.0637185
canonization	0.0636287
disposal	0.0634964
swearing-in	0.0631966
cemetery	0.0624836
coffin	0.0624249
worship	0.0624009
excavation	0.0614398
deployment	0.0612698
parade	0.0605457
suicide	0.0601597
celebration	0.0599356
prayer	0.0599316
"prayer service"	0.0598007
gravestone	0.0597921
unveiling	0.0596593
gathering	0.0595204
reunion	0.0594939
commemoration	0.059182
ordination	0.0590704
handover	0.0588957
coronation	0.0577191
inauguration	0.0569128
launching	0.0565379
testing	0.0561897
relocation	0.0560481
deportation	0.0558811
cleanup	0.055799
identification	0.0555396
screening	0.0543303
vigil	0.0539591
festivity	0.0534884
concert	0.0533417
killing	0.0528704
delivery	0.0522871
hearing	0.0522789
Crucifixion	0.0521656
restoration	0.0520857
appointment	0.0520802
adoption	0.0517259
remains	0.0517119
referendum	0.0516848
abduction	0.0516634
demonstration	0.0516143
birth	0.051542
marriage	0.0514854
"church service"	0.0511864
rite	0.0510309
slaying	0.0509842
resurrection	0.0508608
repair	0.0507901
polygamy	0.0506507
induction	0.0506424
eviction	0.0504614
massacre	0.050332
intervention	0.0502875
kidnapping	0.050117
assassination	0.0500592
procession	0.0500457
installation	0.0500263
headstone	0.0499969
opening	0.0497506
vacation	0.0494844
filming	0.0492273
Dismissal	0.049196
raid	0.049092
"military action"	0.0490043
voting	0.0488527
conversion	0.0486507
registration	0.0486389
refund	0.0486254
pension	0.0485835
swap	0.0485618
lifting	0.0484981
landing	0.0482905
initiation	0.0482742
retirement	0.0482428
banquet	0.047996
"summit meeting"	0.0479076
expulsion	0.0478918
dumping	0.047735
purification	0.0476972
Privatization	0.0476807
detention	0.0475783
breakup	0.0474444
pilgrimage	0.0473769
"religious service"	0.0473705
presentation	0.0473244
slaughter	0.0472761
interrogation	0.0468961
bombing	0.0468661
transplant	0.0467859
abortion	0.0466143
"war game"	0.0465707
auction	0.0464409
extradition	0.046435
reunions	0.0463354
remembrance	0.0463316
graduation	0.0462403
withdrawal	0.0462239
amnesty	0.0461926
distribution	0.0460662
transportation	0.046021
"sudden death"	0.0460174
cancellation	0.0460123
signing	0.0459583
closure	0.0459304
compensation	0.0457866
torture	0.0457088
dispersal	0.0456313
"news conference"	0.0455716
enactment	0.0455351
festival	0.0454721
discharge	0.0453877
liquidation	0.0453677
pullout	0.0453098
takeover	0.0452125
settlement	0.0451081
hospitalization	0.0450322
"medical care"	0.0450103
polling	0.0448965
planting	0.0448587
proceeding	0.0448479
hunting	0.0447258
mausoleum	0.0447211
ritual	0.0447138
visitation	0.0446875
"head count"	0.0446426
censure	0.0445377
"protest march"	0.044501
mutilation	0.0444881
resignation	0.0443513
maneuver	0.0443041
inspection	0.0442426
summit	0.044159
monument	0.0440117
placement	0.043872
destruction	0.0437414
parole	0.0436661
dinner	0.0436563
reshuffle	0.0436351
pullback	0.0436264
rehabilitation	0.0435151
mass	0.0434087
workout	0.043377
announcement	0.0433715
asylum	0.0432634
heist	0.0432526
bonfire	0.0432049
drilling	0.043157
participation	0.0431523
retrieval	0.0430756
recruitment	0.0430674
liftoff	0.0430636
observance	0.0430346
rollout	0.042848
Emigration	0.0428369
departure	0.0428322
disclosure	0.0428065
Exhibition	0.0427113
liturgy	0.0427052
entry	0.0426554
pardon	0.0426196
overhaul	0.0426052
reception	0.0425921
enlargement	0.0425769
storage	0.0425583
Acquittal	0.0424794
surgery	0.0424744
holiday	0.0424706
"burial ground"	0.0424386
renewal	0.0424316
lodging	0.0423232
financing	0.0423122
childcare	0.0421722
viewing	0.0421048
"bar mitzvah"	0.0420631
trading	0.04186
examination	0.0418535
shipment	0.0418126
))
("burial ground" (desc 4190.95) (sims
"burial site"	0.143334
graveyard	0.0973401
cemetery	0.0900222
tomb	0.0829516
"toy retailer"	0.0801795
"art collection"	0.0750299
grotto	0.0743682
mausoleum	0.0722583
"tropical rain forest"	0.0708043
kiln	0.063642
powwow	0.06325
"copper mine"	0.0631431
"religious ceremony"	0.0617773
"place of worship"	0.0608835
"botanical garden"	0.0606184
"parcel of land"	0.060556
bacillus	0.0600583
artifact	0.0595199
"trust account"	0.0592726
"carriage house"	0.0572353
cave	0.056631
"holy place"	0.056416
"time capsule"	0.0562759
shipwreck	0.0561893
mummy	0.0557461
"written language"	0.0553886
skeleton	0.0546314
"woman's body"	0.0545294
cavern	0.0542624
fossil	0.0542464
sarcophagus	0.0541357
crematorium	0.0538016
ancestry	0.0534235
easement	0.0531437
gravestone	0.0529746
"sailing vessel"	0.0529512
trestle	0.0529145
dwelling	0.0520638
"gambling casino"	0.051269
"suspension bridge"	0.0511741
fresco	0.051002
"nest egg"	0.0507957
repository	0.0502312
trove	0.049902
Monastery	0.0494889
"retail operation"	0.0491251
"radio telescope"	0.0477365
Casket	0.0476889
cockatoo	0.0475573
"Christian church"	0.0474954
lineage	0.0471089
Palazzo	0.0470149
fortification	0.0469977
"morality play"	0.0469589
"body of water"	0.0466342
Ellipse	0.0466312
tombstone	0.0463175
toymaker	0.0462906
"gathering place"	0.0462626
"wine cellar"	0.0459324
urn	0.0458768
"garbage dump"	0.0454357
proverb	0.0452338
brewery	0.045006
synagogue	0.0449034
storehouse	0.0448224
"Silk Road"	0.0445811
"stone wall"	0.0443497
cabinetmaker	0.044204
parcel	0.0441914
spas	0.0441038
Colosseum	0.0440819
"house of worship"	0.0438976
lore	0.0437404
Pottery	0.0437159
amphitheater	0.0436878
"development center"	0.0435712
"bomb shelter"	0.0435111
abbey	0.0434807
"manor house"	0.0433881
watchtower	0.043347
antiquity	0.0432909
"shopping mall"	0.0432381
Patrimony	0.0430604
storefront	0.0430568
"gas plant"	0.0430541
"Print Shop"	0.0429653
"Strategic Petroleum Reserve"	0.0429209
Wetland	0.042824
"order form"	0.0427733
Basilica	0.0425842
mural	0.0425555
"landscape painting"	0.0425081
burial	0.0424386
landfill	0.0423808
"insurance market"	0.0423691
manuscript	0.0423336
schoolhouse	0.0423317
figurine	0.042313
"endowment fund"	0.0423018
mantelpiece	0.0421452
derriere	0.0418637
"city block"	0.0417423
fortress	0.0417331
"wall painting"	0.0416547
stele	0.0416316
franchisee	0.0416029
outhouse	0.0416029
Sphinx	0.0415623
hominid	0.0414471
chapel	0.0413663
"futures exchange"	0.0412482
redwood	0.0412019
"river basin"	0.0411842
depository	0.041161
"medical practice"	0.0411391
"circulatory system"	0.041072
enclosure	0.0410661
"national park"	0.0410498
"sugar refinery"	0.0409092
Crypt	0.0408963
"dairy farm"	0.0408395
diaspora	0.0407351
hangout	0.0407268
manor	0.0406724
"row house"	0.0406686
"international criminal court"	0.0405805
auctioneer	0.0404833
parentage	0.0404629
encampment	0.0404591
"Grand Canyon National Park"	0.0403066
knapsack	0.0402579
nexus	0.0401838
"advertising agency"	0.040073
cistern	0.0400641
distillery	0.0400002
))
("burial site" (desc 4680.95) (sims
"burial ground"	0.143334
Grave	0.107734
tomb	0.0872721
mausoleum	0.0676297
burial	0.0673612
cemetery	0.0638554
repository	0.0630249
"place of worship"	0.0627883
grotto	0.0626635
artifact	0.0612557
kiln	0.0612036
depository	0.0573393
gravesite	0.0570863
graveyard	0.0568811
skeleton	0.0563772
relic	0.0548618
fossil	0.0531695
"musical instrument"	0.0530496
"guardian angel"	0.0527575
cache	0.0526596
"accounting problem"	0.0526337
mummy	0.0521276
"grazing land"	0.051873
gravestone	0.0511165
cave	0.0510576
"Old Glory"	0.0499
dwelling	0.0492152
Crypt	0.048922
"hiding place"	0.0482371
"meeting place"	0.0482165
sarcophagus	0.0477067
vertebrate	0.0473743
"wedding ceremony"	0.0465905
"Yucca Mountain"	0.0465204
shipwreck	0.0457081
"nuclear explosion"	0.0456933
meteorite	0.0451833
aquifer	0.0448715
"mine field"	0.0448105
livery	0.044217
antiquity	0.0437765
"safety valve"	0.0436338
coffin	0.0435793
"geographical area"	0.043482
"holy place"	0.0429129
"religious ceremony"	0.0426243
fresco	0.0426119
"hunting ground"	0.042558
nuptials	0.0421871
Casket	0.0421531
fortress	0.042054
Pottery	0.0418159
Monastery	0.0417518
quarterfinalists	0.0415976
headstone	0.0415853
sighting	0.0415055
"trust account"	0.0413394
"piece of land"	0.0410323
"copper mine"	0.0408774
ordinariness	0.0408637
"exhibition hall"	0.0407781
Furbys	0.0407671
"engine failure"	0.0406254
corpse	0.0405916
waterworks	0.0405648
"building site"	0.0405322
"Summer Palace"	0.0404673
tablet	0.0404113
ancestry	0.0401277
))
(Burke (desc 10533.5) (sims
Dunham	0.102273
Hebert	0.097291
Cooke	0.0926032
Ferguson	0.0913246
Roy	0.0877827
McLean	0.0865463
Khabibulin	0.0861926
Arbour	0.0845793
Richter	0.0833578
Thibault	0.0826952
Ruehe	0.0825838
Dafoe	0.0825303
Richardson	0.0824022
Vanbiesbrouck	0.0821046
Brodeur	0.0808136
Nelson	0.0805601
Cunningham	0.0797347
Olson	0.0796405
Muckler	0.0791931
Ramsey	0.078919
Manuel	0.078648
Lucas	0.0785177
Osgood	0.0781929
Hess	0.0780125
Johnson	0.0778358
hodgson	0.0777777
Cleaves	0.0777163
Waddell	0.0777098
smith	0.0775213
Gossage	0.0771783
Theodore	0.0771316
Walsh	0.0771032
Nolan	0.0767311
Schoenfeld	0.0767052
Carl	0.0766933
Carroll	0.0764045
Ellis	0.0763405
Jewell	0.0761282
Parker	0.0760851
Hoffman	0.0760668
Levin	0.0759978
Coelho	0.0756714
Bowden	0.0756243
Sullivan	0.0755665
Oliver	0.0754559
Posner	0.0753788
Welch	0.0752969
Foley	0.075096
Jenkins	0.0748232
Robinson	0.074762
Blake	0.0744242
Schmidt	0.0739531
Morrison	0.0738415
Craig	0.0736988
Jackson	0.0733807
Klein	0.0732177
Belfour	0.0730526
Jennings	0.0729245
Finney	0.0727409
O'Brien	0.0725355
Andersen	0.0723535
Schott	0.0721012
Miller	0.072078
Quinn	0.072017
Daniel	0.0719869
Brock	0.0719055
Meyer	0.0717649
Kagalovsky	0.0715723
Swann	0.0715124
Woodson	0.071436
Schmid	0.0714266
Salo	0.0712776
Kenny	0.0712437
Barnes	0.0712362
Joseph	0.0711059
Gomez	0.0710902
Mcbride	0.0708029
Hayden	0.0707857
Steele	0.0707545
Garrett	0.0707495
Checketts	0.0704438
Michel	0.0703027
Bulatovic	0.0703023
Kendall	0.0701825
turner	0.0701662
Goldstein	0.0701489
Gullit	0.0697838
Simmons	0.0697716
fisher	0.0696928
Egan	0.0696574
Gonzales	0.0694552
Allen	0.0693793
Chung	0.0693
Davies	0.0692713
Fieger	0.0692493
Zimmer	0.0692118
Lee	0.0691798
Grasso	0.0691528
Torre	0.0691339
Flanagan	0.0691234
Kidd	0.0690801
Manning	0.068946
McKinnon	0.0688632
Elliott	0.0688098
Daley	0.0687113
Carter	0.068626
Chubais	0.0684699
Shapiro	0.0683857
Storr	0.068385
collins	0.0683584
Barrasso	0.068295
wheeler	0.0682147
Patrick	0.0682021
Selig	0.0681784
Babbitt	0.0681565
Weinke	0.0680625
Kaplan	0.068053
martin	0.0679618
Evans	0.0679382
Watson	0.0678792
Howard	0.0678681
Snyder	0.0676557
Ramon	0.0676264
Odai	0.0675375
murphy	0.0674838
Berger	0.0674357
Zuma	0.0674247
Taylor	0.0674112
Baker	0.0673952
Ramirez	0.0673838
Kolzig	0.0673822
McNair	0.0673239
Ftorek	0.0671579
Lopez	0.0670977
Payne	0.0670866
Greene	0.0670424
Cohen	0.0670202
Kerr	0.0669793
Doyle	0.0668958
Greenberg	0.0668928
Reilly	0.0667646
Gifford	0.066677
Joklik	0.0665431
Alexander	0.0665218
Roberts	0.0665043
Schwartz	0.0664127
Harmon	0.0663757
Holtz	0.0662325
Kimes	0.0661462
Gates	0.0660649
Parrish	0.0658911
McDaniel	0.0658746
Thompson	0.0658596
Brooks	0.0655923
Johnston	0.0652184
Karl	0.065159
Kraft	0.0651476
Robertson	0.0651257
Graham	0.0650922
Russo	0.0650638
Jones	0.0650331
Skakel	0.0650025
Goodman	0.0649634
Thomas	0.0649413
Steinberg	0.064939
Moore	0.064698
O'Donnell	0.0646902
Ruiz	0.0646164
Fassel	0.0646123
Meissner	0.0645392
Weizman	0.064489
Justin	0.0644852
Fischer	0.0644288
Brazile	0.0643837
Hersh	0.0643643
Edwards	0.0643489
Bonner	0.0643266
Kaye	0.0643137
Schwarz	0.0642514
Hasek	0.064239
Markovic	0.0642158
Sakic	0.0641512
Shriver	0.0641151
Kelly	0.0640538
Zadornov	0.0640228
Keenan	0.0639768
Malone	0.0639657
Havelange	0.0639331
Hunsicker	0.0638974
Cavanaugh	0.0638105
Crenshaw	0.0637736
Symington	0.0637318
Wilson	0.0636636
Clifford	0.0636144
Bennett	0.063595
Christopher	0.0634695
Taft	0.0634344
Aikman	0.0634043
Plummer	0.0632339
Morales	0.063233
))
(Burkett (desc 3358.11) (sims
Sele	0.238532
Trachsel	0.222344
Yoshii	0.217696
Loaiza	0.217648
Elarton	0.217481
Nagy	0.215897
Radke	0.209076
Dempster	0.207136
Candiotti	0.197068
Mercker	0.195924
Dreifort	0.19483
Helling	0.194159
Bottenfield	0.193464
Millwood	0.193313
Rusch	0.191353
Bohanon	0.191169
Schourek	0.190458
Bere	0.186054
"John Burkett"	0.185169
Woodard	0.184126
"Jon Lieber"	0.183061
Tapani	0.183008
Reynoso	0.182467
Checo	0.18231
Harnisch	0.181261
Halama	0.179737
Lieber	0.179476
Daal	0.179383
Fassero	0.178685
Ankiel	0.178389
Dotel	0.177874
Belcher	0.177603
Kile	0.176482
Astacio	0.176346
Eldred	0.175773
Benes	0.172436
Hermanson	0.171513
Moyer	0.171144
"Russ Ortiz"	0.170835
Vazquez	0.168987
Isringhausen	0.166709
Petkovsek	0.166116
Herges	0.165925
Mahomes	0.16425
Arrojo	0.162886
Neagle	0.162068
Hentgen	0.160039
Olivares	0.159559
Hershiser	0.158909
Meche	0.158137
Schoeneweis	0.157871
"Chris Carpenter"	0.157515
Mulholland	0.155736
Leiter	0.154413
Remlinger	0.154332
Heredia	0.154193
Smoltz	0.152994
Etherton	0.151262
Witt	0.151092
Gooden	0.150223
Mlicki	0.150193
"Javier Vazquez"	0.150178
Rapp	0.147704
Glavine	0.147236
Parris	0.147089
Mussina	0.147019
Ortiz	0.146763
Rueter	0.145209
Valdes	0.14507
Dickson	0.144541
Gagne	0.143632
Nomo	0.142787
Irabu	0.142667
"Jesus Sanchez"	0.141398
"Jeff Weaver"	0.140893
Pavano	0.139932
Zimmerman	0.139898
Cloude	0.13919
"Mike Sirotka"	0.138952
Maddux	0.138279
"Kevin Tapani"	0.137303
Washburn	0.137183
Burba	0.136402
"Eric Milton"	0.136024
Crabtree	0.13541
Pettitte	0.135282
Guzman	0.13445
Suppan	0.134093
Percival	0.133495
Stottlemyre	0.13278
"Steve Parris"	0.132472
Cordova	0.131996
Appier	0.131133
Moehler	0.130892
Saberhagen	0.13077
Benitez	0.130307
D'Amico	0.128772
Wakefield	0.128576
"John Snyder"	0.127939
"Andy Benes"	0.127934
"Woody Williams"	0.127251
Cormier	0.12703
"Jamey Wright"	0.126433
Mendoza	0.126018
Osuna	0.125636
Erickson	0.125521
"Brian Moehler"	0.125401
Haynes	0.124989
"Pedro Astacio"	0.12442
Grimsley	0.123801
"Orlando Hernandez"	0.121543
Wohlers	0.121361
Tomko	0.119417
"Jamie Moyer"	0.119312
"Dustin Hermanson"	0.118753
"Brad Radke"	0.118685
"Darren Oliver"	0.11861
"Armando Reynoso"	0.118366
"Jason Schmidt"	0.117619
"Jim Parque"	0.117165
Hasegawa	0.11693
Glynn	0.116635
"Dave Mlicki"	0.116323
Schilling	0.11603
"Scott Karl"	0.116
"Francisco Cordova"	0.115304
"Pat Hentgen"	0.115148
Perisho	0.114957
Hudek	0.113956
Hernandez	0.113893
Meadows	0.11341
"Hideo Nomo"	0.113219
Navarro	0.113129
Stephenson	0.112784
estes	0.112783
"Tim Belcher"	0.11273
Clement	0.111637
"Shane Reynolds"	0.111326
"Al Leiter"	0.111102
Finley	0.110837
"Robb Nen"	0.110464
"Carlos Perez"	0.110312
Rivera	0.110105
"Brian Rose"	0.110011
Milton	0.109976
Gardner	0.109676
"Mike Remlinger"	0.109621
"Darren Dreifort"	0.109081
Hampton	0.108992
Mantei	0.108835
"Paul Shuey"	0.1085
"Jeff Fassero"	0.108271
Yarnall	0.108197
"Jose Mesa"	0.107946
"Chuck Finley"	0.107412
"Shawn Estes"	0.106904
"Aaron Sele"	0.106455
"Kent Bottenfield"	0.10642
BENSON	0.10638
Borbon	0.106336
"BRIAN MEADOWS"	0.106301
"Mark Portugal"	0.106215
"Hideki Irabu"	0.106209
"Jose Jimenez"	0.105788
Schmidt	0.105271
Abbott	0.105256
"Bryce Florie"	0.105064
Clemens	0.105022
"Mark Gardner"	0.104967
Perez	0.104944
Ashby	0.104846
"Kevin Appier"	0.10459
right-hander	0.104387
Pulsipher	0.104166
"Russ Springer"	0.10398
Holt	0.103913
"Brian Anderson"	0.103725
McDOWELL	0.103722
"Ramon Martinez"	0.10358
"Rick Helling"	0.103432
"Gil Heredia"	0.103357
"Darryl Kile"	0.103328
Bergman	0.103281
"Masato Yoshii"	0.102876
Nunez	0.102823
Contreras	0.102586
Cone	0.102404
"Ramiro Mendoza"	0.102315
"Terry Mulholland"	0.10137
"Mark Clark"	0.101314
Stanton	0.101204
"El Duque"	0.101091
"Tom Candiotti"	0.100965
"Chan Ho Park"	0.100815
"Kirk Rueter"	0.100556
Avery	0.100507
Wasdin	0.100253
"Andy Pettitte"	0.100127
Sparks	0.100099
"Steve Trachsel"	0.0995543
))
("Burkina Faso" (desc 16042.7) (sims
Mali	0.342526
Togo	0.332329
Benin	0.311185
Gabon	0.303601
Gambia	0.301349
Ghana	0.270022
Senegal	0.26767
Guinea	0.267654
Niger	0.264973
Chad	0.256123
"Ivory Coast"	0.234469
Cameroon	0.231869
Mauritania	0.227263
Cameroun	0.216874
"Guinea Bissau"	0.213418
"Equatorial Guinea"	0.20894
Malawi	0.205722
Mauritius	0.204145
Madagascar	0.202279
"Sao Tome and Principe"	0.200366
Namibia	0.199144
Tunisia	0.19472
"Central African Republic"	0.190302
Botswana	0.186062
Liberia	0.18276
Comoros	0.179617
"Cape Verde"	0.177574
Algeria	0.175507
"Republic of Congo"	0.174031
Djibouti	0.17219
Guinea-Bissau	0.169911
Nigeria	0.166285
Mozambique	0.163075
Morocco	0.158768
Burundi	0.154921
Zimbabwe	0.153971
"Sierra Leone"	0.153611
Uganda	0.153147
Seychelles	0.151378
Swaziland	0.150392
Ethiopia	0.149579
Zambia	0.145607
Angola	0.144072
Congo	0.144046
Tanzania	0.142252
Zaire	0.140192
Kenya	0.139155
"South Africa"	0.137449
Lesotho	0.136258
Sudan	0.135067
Ivoire	0.130958
Bolivia	0.128716
Eritrea	0.125297
Rwanda	0.123724
Ouagadougou	0.119252
Egypt	0.11874
"Democratic Republic of the Congo"	0.111711
Guyana	0.11112
Yemen	0.110539
"Democratic Congo"	0.109667
"El Salvador"	0.108997
Libya	0.10766
Jamaica	0.107407
"Costa Rica"	0.107146
Qatar	0.106319
Portugal	0.106208
Bahrain	0.105765
Nicaragua	0.104664
Somalia	0.104437
Guatemala	0.103435
Brunei	0.103041
"United Arab Emirates"	0.102802
Luxembourg	0.101145
Slovenia	0.101091
Ecuador	0.0997428
Lome	0.0995466
Iceland	0.0964845
"Dominican Republic"	0.0957871
"Democratic Republic"	0.0953222
Accra	0.0947383
Malta	0.0945102
Paraguay	0.0942284
Bulgaria	0.0940486
"Saudi Arabia"	0.0938211
Argentina	0.0937792
DRC	0.0934377
Uruguay	0.0933313
Maldives	0.0916413
Uzbekistan	0.091604
Peru	0.090373
"Trinidad and Tobago"	0.0902851
Armenia	0.0902682
Oman	0.089761
Malaysia	0.0895402
"Papua New Guinea"	0.0894254
Norway	0.0884627
Chile	0.0881414
Windhoek	0.0881011
Venezuela	0.0877358
Bangladesh	0.0873549
"African country"	0.0866803
Panama	0.0860001
Gaborone	0.0856059
Brazil	0.0852594
Tripoli	0.0847227
Kyrgyzstan	0.0840341
Switzerland	0.08323
"African nation"	0.0832065
"Sri Lanka"	0.0830953
Moldova	0.0827094
Finland	0.0823961
Poland	0.0822457
Haiti	0.0818394
MANAMA	0.0812621
"New Zealand"	0.0803008
Ukraine	0.0802057
"Congo Republic"	0.0801257
Latvia	0.0799977
Kazakhstan	0.0799114
Grenada	0.079832
Azerbaijan	0.0795639
Colombia	0.0795638
Algiers	0.079514
Doha	0.079404
Hungary	0.0793961
"Democratic Republic of Congo"	0.0793158
Cambodia	0.0792363
Denmark	0.0792108
Honduras	0.0791064
Turkmenistan	0.079036
Bhutan	0.0790277
Tajikistan	0.0790054
Romania	0.0777891
France	0.0772079
Laos	0.077043
Austria	0.0770404
Sweden	0.0770364
Bishkek	0.0767277
Mexico	0.0766402
Belgium	0.0765642
Cuba	0.0764585
Barbados	0.0764106
Netherlands	0.075932
Lithuania	0.0757796
Belarus	0.0757754
Croatia	0.0753957
Pakistan	0.0749202
Slovakia	0.0748138
Riyadh	0.0745056
Indonesia	0.0744834
Thailand	0.0743501
"South Korea"	0.0741606
"Bandar Seri Begawan"	0.0741315
Abuja	0.0741294
Abidjan	0.0740406
Suriname	0.0736664
Afghanistan	0.0735003
Kazakstan	0.0732718
Kuwait	0.073263
Libreville	0.0732331
Estonia	0.0731996
Spain	0.0728309
Tashkent	0.0725843
Greece	0.0721564
Dushanbe	0.0720893
Rabat	0.0720766
Belize	0.0717549
Basle	0.0715718
Reykjavik	0.0715563
Australia	0.0714627
Durban	0.0710852
Asmara	0.0704605
Iran	0.0704371
Helsinki	0.0701644
"Central Africa"	0.0696962
BRATISLAVA	0.06966
Malmo	0.0695649
"Kuala Lumpur"	0.0692816
Muscat	0.0689187
Valletta	0.0689154
Vienna	0.0685873
Cardiff	0.068394
ZAGREB	0.0682097
Lyon	0.0680092
Italy	0.0678873
Yerevan	0.0672157
Mongolia	0.0671295
Cyprus	0.0669807
TUNIS	0.0668169
"Czech Republic"	0.0667759
PYONGYANG	0.0666986
"Nigerian capital"	0.0665448
Geneva	0.0664016
Yaounde	0.0663826
Pretoria	0.0663515
Auckland	0.0661274
Copenhagen	0.065939
Albania	0.0655663
CAIRO	0.0654454
MAPUTO	0.0653926
))
(Burks (desc 2212.21) (sims
Rolen	0.204601
Dunston	0.183356
Vidro	0.181782
Renteria	0.169783
Catalanotto	0.16907
Higginson	0.161004
Lieberthal	0.154028
Nevin	0.153797
Lankford	0.151902
"Derrek Lee"	0.15128
Cirillo	0.150792
Canseco	0.148966
Surhoff	0.147996
Sexson	0.146053
Fullmer	0.145693
"Mark Loretta"	0.142893
Abreu	0.142345
Cabrera	0.140873
"Damian Miller"	0.140241
Caminiti	0.139551
"John Vander Wal"	0.138721
grieve	0.138113
"Rondell White"	0.137095
Elster	0.13619
Aurilia	0.135315
Cordero	0.134849
Delgado	0.134561
Kapler	0.134139
Bordick	0.134082
Palmeiro	0.133841
"Will Clark"	0.133459
"Carlos Lee"	0.133374
Hollins	0.133335
Lofton	0.132973
"Matt Lawton"	0.132958
Batista	0.132602
McGriff	0.13246
Leyritz	0.132094
Erstad	0.132084
Hollandsworth	0.131148
Alou	0.130421
Beltran	0.130064
"Eric Owens"	0.129142
"Preston Wilson"	0.12863
DeShields	0.128556
Giambi	0.128445
"Mark Kotsay"	0.128223
"David Ortiz"	0.127974
Easley	0.127864
Womack	0.127713
"Dante Bichette"	0.12758
Olerud	0.127475
"Marvin Benard"	0.12727
"Vladimir Guerrero"	0.126635
Bagwell	0.126543
Konerko	0.12646
nance	0.126431
Grudzielanek	0.126296
Burnitz	0.125501
"Gregg Jefferies"	0.12525
"Fernando Vina"	0.125217
Fryman	0.124891
Bautista	0.124534
Castilla	0.124019
"Jeff Conine"	0.12391
Randa	0.123633
Gant	0.12343
Brosius	0.122963
"Bobby Abreu"	0.122903
"Bruce Aven"	0.122787
"Tony Womack"	0.122654
"Ben Grieve"	0.12235
"Kevin Young"	0.121566
Velarde	0.121183
"Derek Bell"	0.121013
"Jeff Kent"	0.121011
DiSarcina	0.120982
Mateo	0.120872
Alomar	0.120315
"Henry Rodriguez"	0.120243
"Jose Vidro"	0.120192
"Adam Kennedy"	0.119707
Glanville	0.119295
"Glenallen Hill"	0.119044
Ripken	0.118816
Cedeno	0.118672
"Joe Randa"	0.118277
Segui	0.117374
Trammell	0.117235
"Bengie Molina"	0.116486
"Scott Spiezio"	0.116351
Alfonzo	0.116132
Bergeron	0.116109
"Tom Goodwin"	0.116016
"Herbert Perry"	0.115846
"Todd Pratt"	0.1157
Baerga	0.115507
"Bill Mueller"	0.11475
"Neifi Perez"	0.114592
"Travis Lee"	0.11431
"Mark Grace"	0.114185
Gwynn	0.114085
"Deivi Cruz"	0.114072
Valentin	0.113843
"Doug Glanville"	0.113679
"Darin Erstad"	0.11352
Brogna	0.113117
Biggio	0.113093
Helton	0.113084
"Jose Guillen"	0.112981
"Terrence Long"	0.112826
"Devon White"	0.112495
"Todd Walker"	0.111948
Larkin	0.111602
"Randy Velarde"	0.111139
Baines	0.110911
"Charlie Hayes"	0.110819
Ledee	0.110774
Karros	0.110634
"Royce Clayton"	0.110538
"Dmitri Young"	0.110333
Zeile	0.110297
"Brian Giles"	0.110218
Ordonez	0.109868
"Tony Eusebio"	0.109803
Hundley	0.109729
"Jay Bell"	0.109628
Tejada	0.109518
"Travis Fryman"	0.109464
"Luis Gonzalez"	0.109442
"Cliff Floyd"	0.10931
"Ron Gant"	0.108996
Ramirez	0.10884
"Eric Karros"	0.108485
"Alex Gonzalez"	0.108177
Stinnett	0.10802
Bichette	0.107876
Goodwin	0.107859
"Damian Jackson"	0.107457
Saenz	0.107441
"Johnny Damon"	0.107438
"Miguel Tejada"	0.107373
"Phil Nevin"	0.107355
"Tony Clark"	0.107281
Glaus	0.107259
"J.T Snow"	0.106934
"Eddie Taubensee"	0.106922
Spiers	0.106597
"Tony Batista"	0.106542
"Ricky Gutierrez"	0.106425
"Dave Martinez"	0.106175
"Mike Sweeney"	0.1058
O'Leary	0.105753
Lawton	0.105658
Lugo	0.105594
Tatis	0.105583
"Joe McEwing"	0.105498
"Scott Brosius"	0.105417
"Danny Bautista"	0.105241
Gutierrez	0.10509
Agbayani	0.105085
"Brian Hunter"	0.105063
Veras	0.104746
Guerin	0.104448
Beltre	0.104144
Grissom	0.104085
Alicea	0.103866
"Brady Anderson"	0.10369
"Harold Baines"	0.103658
"Ray Lankford"	0.103462
"Rico Brogna"	0.103271
"Kurt Abbott"	0.103224
"Mike Lieberthal"	0.102875
"Ellis Burks"	0.102805
Counsell	0.102623
"Matt Stairs"	0.102377
"Russ Johnson"	0.10206
Buhner	0.101943
"Mike Cameron"	0.101925
"Geoff Jenkins"	0.101867
Ausmus	0.101861
"Jim Thome"	0.101696
Knoblauch	0.10168
Slepian	0.10165
"Vinny Castilla"	0.101509
Ankiel	0.101364
"Manny Ramirez"	0.101262
Klesko	0.101107
"Troy Glaus"	0.101076
Meares	0.101047
"Bill Spiers"	0.101035
"Tony Phillips"	0.101011
"Jim Edmonds"	0.101006
"Chad Curtis"	0.100989
"Adrian Beltre"	0.10096
Mondesi	0.100936
"Luis Castillo"	0.100884
"Bobby Higginson"	0.100837
Vizquel	0.100595
Cummings	0.100507
"Tim Salmon"	0.100349
"Jeff Cirillo"	0.100329
"Gary Sheffield"	0.100304
"Lance Johnson"	0.100151
"Benny Agbayani"	0.100031
"Rich Becker"	0.100025
))
(burlap (desc 1684.88) (sims
cellophane	0.11176
linen	0.0902254
gauze	0.081773
"large white"	0.0763072
cheesecloth	0.0725043
plasterboard	0.0709525
"aluminum foil"	0.0685138
"plastic wrap"	0.0589227
"gold leaf"	0.0576334
"prayer shawl"	0.0544469
brocade	0.0542985
"dark red"	0.0540479
stucco	0.0528135
"grim reaper"	0.0524025
fuzz	0.0498787
latex	0.0495042
"specialty chemical"	0.0494936
bunting	0.0489179
mulch	0.0484758
nylon	0.048048
"paper bag"	0.0451575
gingham	0.0441306
styrofoam	0.0441093
"olive green"	0.0437417
"tissue paper"	0.040232
))
(Burleigh (desc 1323.67) (sims
Advani	0.183764
Rossotti	0.173727
Indyk	0.163426
Goldin	0.147677
"Vladislav Jovanovic"	0.145232
Ikeda	0.144667
Velayati	0.143664
Majko	0.14063
Singson	0.140372
Siazon	0.140238
Caddell	0.139891
Beazley	0.137655
Wolfson	0.1376
Kennard	0.137149
Moratinos	0.134853
Kornberg	0.133401
LaPierre	0.133069
Kyprianou	0.1311
Hauser	0.129967
Ruehe	0.128135
Flanagan	0.127883
Nasrallah	0.127626
Lamberth	0.126737
Brundtland	0.126434
Waxman	0.124624
Diouf	0.123803
McCurry	0.123435
Milbury	0.12337
Waigel	0.122094
Prewitt	0.122017
Reinhardt	0.12125
Zucker	0.120827
Koskinen	0.119523
Piot	0.119287
Teresi	0.11888
Jovanovic	0.118815
Allchin	0.117332
Condit	0.117209
Verney	0.116918
Arbour	0.116844
Tarawneh	0.114948
Fleischer	0.114779
Aventajado	0.114537
Tsang	0.114446
Kaye	0.114297
Ruggiero	0.114041
Kasoulides	0.114003
Jayakumar	0.112974
Bustamante	0.112952
Rosenblatt	0.112303
Lockyer	0.111322
Meissner	0.110756
Grasso	0.110731
Napolitano	0.109272
Erekat	0.108934
Podesta	0.108593
McKenna	0.107889
Eizenstat	0.107766
Hybl	0.107625
Lehane	0.107537
Dodik	0.107058
Lessig	0.106792
Carollo	0.106614
Whipple	0.106263
Leavitt	0.10621
Ftorek	0.105069
Nemtsov	0.104475
Sergeyev	0.104308
Gullikson	0.103947
Insulza	0.103332
Abdel-Meguid	0.103182
Shevardnadze	0.102607
Sakakibara	0.102534
Posner	0.102299
Kasyanov	0.102252
Bellamy	0.101748
Sumaye	0.101694
Juma	0.100864
Sheehan	0.100599
Gosper	0.100551
Hodler	0.100365
Reimer	0.10021
Butterworth	0.0999914
Rong	0.0999495
Valenti	0.0996716
Satcher	0.0991029
Cui	0.0987676
Holbrooke	0.098681
Schuerholz	0.0985471
Hunsicker	0.0985033
Echols	0.0984646
Masire	0.0980922
Finkel	0.0980456
Sato	0.0978641
Dini	0.0972749
Hasan	0.0971122
Hitchens	0.096879
Schrempp	0.0967401
Moonves	0.0965109
Cem	0.0960357
Maritz	0.095819
Cooley	0.0957613
Harmoko	0.0955937
BURNHAM	0.0954743
Rudenstine	0.095447
Cashman	0.0953711
Barshefsky	0.095301
Aziz	0.0950691
Meguid	0.0949049
Pickering	0.0949027
Devine	0.0946482
Bruton	0.0942374
Sheng	0.0939276
Demaci	0.0936859
Clements	0.0935254
Lari	0.0934492
Korman	0.0932733
Ekeus	0.0931698
Duisenberg	0.0930202
Schmalensee	0.0930127
Levitt	0.0929475
Schuessel	0.0926909
Lew	0.0926179
Rifkind	0.0923305
Chadwick	0.0923263
Lamont	0.0922256
Nickerson	0.0921028
Fino	0.0920349
Hersh	0.0919436
Surin	0.0918939
Wenger	0.0918335
Kharrazi	0.0917408
Granik	0.0915438
Rubenstein	0.0914972
Felton	0.0908833
Rongen	0.0908104
Joklik	0.0906332
ROMNEY	0.0906063
Rothenberg	0.0904989
Andreessen	0.0903815
Zarb	0.0899109
Scalfaro	0.0895306
Schieffer	0.0893232
Pustovoitenko	0.089308
Alarcon	0.089281
Constantinescu	0.0891312
Delahunt	0.0890863
"De Soto"	0.0890826
Stroyev	0.0890423
Orban	0.088904
Manley	0.0887682
Prueher	0.0887484
Rudman	0.0887303
Klima	0.0887276
Ebersol	0.0885862
Ackerman	0.0883391
Yosef	0.0883152
Sperling	0.0881627
Khalil	0.0881328
Storin	0.0878874
Ivanov	0.0878249
Trulock	0.0877705
DeFrantz	0.0877043
Qiao	0.0876996
Bakaly	0.0876202
Sponeck	0.0874752
ISSEL	0.0874623
Rangel	0.0874599
Rais	0.0873777
"de Charette"	0.0872929
Ahmad	0.0872594
Azizah	0.0870661
Patten	0.0870081
McDonough	0.0869491
Mustafa	0.0869475
Zhirinovsky	0.0869263
Coe	0.0868325
Farber	0.0866554
lauder	0.0865689
Maslyukov	0.0865082
al-Sahaf	0.0864389
Nujoma	0.0863975
Biden	0.086382
Mercado	0.0862699
Iger	0.0862564
Kumar	0.0862343
Isikoff	0.0861093
Lockhart	0.0860634
McGuire	0.0859662
Beilin	0.0858893
Chavalit	0.0858857
Sykes	0.0858222
Xiang	0.0857992
Ikimi	0.0856402
Nzo	0.0852439
"Illinois Republican"	0.0851206
McInnis	0.0849668
Khai	0.0848836
Fieger	0.0847003
Ogata	0.0846718
))
(burlesque (desc 2532.08) (sims
Novak	0.0738975
"sour grapes"	0.066068
farce	0.0596274
melodrama	0.0587893
spoof	0.0580593
perversion	0.0578837
slapstick	0.0572193
discography	0.055998
"chess game"	0.054476
travesty	0.0537537
"silver dollar"	0.0535969
reworking	0.0533978
"shell game"	0.0530034
"Ulysses S. Grant"	0.0523478
exhibitionism	0.0501694
"variety show"	0.0500798
Quintero	0.0494643
"numbers game"	0.0488324
"second tour"	0.0486263
"silent movie"	0.0486111
rock-and-roll	0.0469648
Bedlam	0.0456926
"dark ages"	0.0455018
Isaiah	0.0454993
whore	0.0446107
"waiting game"	0.0443655
ragtime	0.044199
absurdity	0.0440384
"wild West"	0.0436818
"Off Broadway"	0.0435876
theatrics	0.0435562
altruism	0.0435157
conundrum	0.0434994
proverb	0.0434547
"piece of cloth"	0.0433507
copout	0.0433449
lunacy	0.0428119
"civic duty"	0.0428059
nonentity	0.0425264
pantomime	0.0424701
lattes	0.041781
"Jessye Norman"	0.0414942
KIMCHI	0.0412517
"man of letters"	0.0411603
meritocracy	0.0410495
"music hall"	0.0408284
cockiness	0.0408197
epitaph	0.0404935
"the good old days"	0.0403653
conciliator	0.0403231
"good story"	0.0401064
))
(Burley (desc 1290.08) (sims
coca	0.116689
smallholder	0.107065
"sugar beet"	0.106017
Lorillard	0.100504
"Vidalia onion"	0.0945542
"sugar cane"	0.0910077
flue	0.0847861
chewing	0.0839082
sorghum	0.0794334
barley	0.0758686
sugarcane	0.0748429
cacao	0.0729441
khat	0.0724257
cranberry	0.0715432
"romaine lettuce"	0.0697657
oilseed	0.0691227
cassava	0.0675994
cashew	0.0659759
"opium poppy"	0.0654355
poppy	0.0650239
kudzu	0.0643773
"iceberg lettuce"	0.0641914
bhang	0.0627366
cannabis	0.0626843
Fedorov	0.0617262
Milkweed	0.0615559
ginkgo	0.0614032
Vidro	0.0606713
Intl	0.0596613
blueberry	0.0594093
Barrie	0.0588179
paddy	0.0586738
Thuram	0.0583395
alfalfa	0.0582099
litchi	0.0580147
"Ocean Spray"	0.0578732
lettuce	0.0578139
"California wine"	0.0576498
ECW	0.0571884
Bergkamp	0.0571137
half-inch	0.0552565
agave	0.0552335
grapefruit	0.0551261
buckwheat	0.0550062
cocoa	0.0546718
Northland	0.0542589
"Costa Rican"	0.0539435
romaine	0.0537262
"food grain"	0.0529994
watermelon	0.0526741
"Antigua and Barbuda"	0.0526101
"Bruce Aven"	0.0525697
mesclun	0.0525227
clover	0.0521776
"Eric Chavez"	0.0516168
"cashew nut"	0.0513609
"brussels sprout"	0.0510769
Briere	0.0505975
Nakata	0.050143
melon	0.0492622
Hendrickson	0.0488862
Golding	0.0483147
artichoke	0.0480889
shellfish	0.0479257
"sweet corn"	0.0473511
Holik	0.0469613
nettle	0.0468499
canola	0.0468471
"Wild Party"	0.0466494
Mulberry	0.04638
Audette	0.0463159
Sundin	0.046003
Cirillo	0.045874
lysine	0.0457164
Gilliam	0.0455314
Hollins	0.0453667
plantain	0.0453209
"Herbert Perry"	0.0451555
"fourth generation"	0.0449201
"Bordeaux wine"	0.0448719
fern	0.0448351
"dry land"	0.0442825
jute	0.0441432
"Petr Nedved"	0.0441177
seaweed	0.0439398
abalone	0.0439292
zinnia	0.0438835
"palm oil"	0.0438185
Lawton	0.0438121
hosta	0.0437603
magpie	0.0437107
"compact car"	0.043684
boxwood	0.0436028
subsistence	0.04344
Tocchet	0.0433806
"Fernando Vina"	0.0430998
Nedved	0.0430997
Fiedler	0.0428657
Suker	0.0427692
ginseng	0.0426492
prawn	0.0424724
Bragg	0.0423673
Daigle	0.0423393
"coca crop"	0.0423036
Piot	0.0419499
Ochoa	0.0418747
Turgeon	0.0418028
Collard	0.0416974
"Cliff Ronning"	0.041533
Lankford	0.0415075
hermosillo	0.0414214
"coffee bean"	0.0413574
"Sonoma County"	0.0412821
Delgado	0.0410004
Aegon	0.0409804
Djorkaeff	0.0409487
Tomlinson	0.0407171
Bautista	0.0406823
"John Vander Wal"	0.0405857
Lieberthal	0.0404123
Kaliningrad	0.0400919
Primeau	0.0400667
))
(Burlingame (desc 1132.28) (sims
Emeryville	0.253024
"Culver City"	0.247959
"South San Francisco"	0.246892
Sunnyvale	0.213087
Sausalito	0.20632
Cupertino	0.186997
"Westlake Village"	0.186953
"San Mateo"	0.184035
Alameda	0.180788
"Menlo Park"	0.179939
"Walnut Creek"	0.17963
"Mountain View"	0.171622
Pleasanton	0.169223
Calabasas	0.168818
"Redwood City"	0.157737
"Century City"	0.154871
Englewood	0.149993
LAKEWOOD	0.149051
"Santa Ana"	0.146878
Fremont	0.14649
"Thousand Oaks"	0.145087
"Fort Lee"	0.144902
"San Rafael"	0.144377
Reston	0.143823
"Santa Rosa"	0.140387
"Simi Valley"	0.138741
"Woodland Hills"	0.138236
"Palo Alto"	0.136818
"Union City"	0.136381
"San Carlos"	0.136341
Carmel	0.136286
"Marin County"	0.136216
Tarzana	0.135849
"El Segundo"	0.134955
"Newport Beach"	0.134285
Encino	0.133988
Petaluma	0.133342
Chatsworth	0.130541
Waltham	0.129336
"White Plains"	0.127582
Alpharetta	0.127178
"Sherman Oaks"	0.126287
Norcross	0.125683
Claremont	0.124885
"La Jolla"	0.122008
"Manhattan Beach"	0.121253
"Mission Viejo"	0.120536
Wellesley	0.120309
Framingham	0.119796
Rockville	0.119613
"West Hollywood"	0.118671
Needham	0.118498
Torrance	0.117947
"East Orange"	0.117133
Morristown	0.116675
"Garden City"	0.116614
Carlsbad	0.11638
Fairfax	0.116076
"Mill Valley"	0.115153
Reseda	0.113161
Groton	0.112485
"Santa Monica"	0.11246
Braintree	0.111935
Hackensack	0.11107
"Pacific Palisades"	0.110771
"Overland Park"	0.108101
Woodside	0.106928
Brentwood	0.106725
"San Luis Obispo"	0.106528
Danville	0.10559
"Sonoma County"	0.10515
Eureka	0.10371
Glendale	0.103704
Marlborough	0.103528
Burlington	0.102452
"Santa Clara"	0.102188
Rey	0.101672
Utica	0.0999135
"Beverly Hills"	0.0994423
"Silver Spring"	0.0993429
Pasadena	0.0990826
"Delray Beach"	0.0988096
Bakersfield	0.0983564
"Cherry Hill"	0.0979549
"North Hollywood"	0.0974936
"Studio City"	0.0967243
Hayward	0.096045
Stamford	0.0960012
Hillsboro	0.0954674
Tarrytown	0.0951101
Somerville	0.0935612
Lenexa	0.0932192
Wallingford	0.0925622
oceanside	0.092505
Hialeah	0.0919094
Dearborn	0.0916681
"Jersey City"	0.0915264
"Midtown Manhattan"	0.090685
Farmington	0.0906782
"Huntington Beach"	0.0904569
"Boca Raton"	0.0901539
Herndon	0.0895361
Watertown	0.0891139
Norwalk	0.0890625
Essen	0.0888732
Naperville	0.0874777
Westfield	0.0871567
Berkeley	0.0869143
Middletown	0.0869132
Hopkinton	0.0866815
"San Pedro"	0.0862378
Oxnard	0.0862211
Danbury	0.0860063
"Van Nuys"	0.0855457
"Boynton Beach"	0.0851973
Westminster	0.085158
Kensington	0.0846586
Lexington	0.0844989
Albuquerque	0.0837908
Vallejo	0.0833096
Andover	0.0831821
"New Canaan"	0.0829128
Lansing	0.0828859
Beaumont	0.0827736
Ojai	0.082518
ATTLEBORO	0.0822802
Burbank	0.0821964
"Silicon Alley"	0.0821741
"Palm Beach Gardens"	0.0817334
Tijuana	0.0814525
Nashua	0.0807818
"Santa Barbara"	0.0802361
Scottsdale	0.0799986
Wichita	0.079838
Cambridge	0.0796729
Newton	0.0792878
"West Palm Beach"	0.0790248
Fresno	0.0787923
Westport	0.0786158
Darien	0.0785742
Yonkers	0.0784933
"Coral Gables"	0.078413
Kirkland	0.07825
"Riverside County"	0.0781828
"St. Paul"	0.077979
"Santa Cruz"	0.0776981
"Round Rock"	0.0776849
Bloemfontein	0.0774598
"Virginia Beach"	0.0773456
"Great Neck"	0.077109
Irvine	0.0768451
Topeka	0.0762672
Charlottesville	0.0760537
Modesto	0.0757841
Charlestown	0.0757633
"Fort Collins"	0.0757595
Clearwater	0.0756742
"Gwinnett County"	0.0756643
"Santa Maria"	0.07532
Falmouth	0.0752876
Westlake	0.0749786
"Orange County"	0.0743945
Antioch	0.0742157
"Little Rock"	0.0738756
Redding	0.0738459
Folsom	0.0733658
Concord	0.0733346
Bensonhurst	0.0731843
BRIGHTON	0.0730971
Paterson	0.072621
Bellevue	0.072516
"Palm Springs"	0.0724581
Bethesda	0.072187
Winston-Salem	0.0721808
Camarillo	0.0720932
Woburn	0.0720349
Holyoke	0.0719714
Westwood	0.0719251
"New Haven"	0.0713362
"Baton Rouge"	0.0713301
"Brooklyn Heights"	0.0708037
Korean-American	0.0707041
riverside	0.0706619
Raleigh	0.0694022
Lafayette	0.0693582
Duluth	0.0692725
Fairfield	0.0692385
Haifa	0.0692281
"San Bernardino"	0.0689803
Compton	0.068977
Malibu	0.0688809
"Saratoga Springs"	0.068784
Evanston	0.0683892
Greenville	0.0683832
"San Marcos"	0.068352
Sevastopol	0.0678932
Wilmington	0.0676845
Beaufort	0.0675972
Bedford	0.0674434
Vilnius	0.0672554
))
(Burlington (desc 7595.59) (sims
Waltham	0.135528
Worcester	0.123511
Emeryville	0.122969
"New Haven"	0.122858
Reston	0.122318
Alameda	0.121924
"Palo Alto"	0.120872
Paterson	0.119363
"San Mateo"	0.119222
"Fort Wayne"	0.116003
Medford	0.115847
"Mountain View"	0.114883
Sunnyvale	0.114105
Braintree	0.112556
Wilmington	0.112122
Marlborough	0.111365
Fairfield	0.111076
Framingham	0.110643
Bethesda	0.108949
Stamford	0.108747
Northampton	0.108549
Passaic	0.108154
Lexington	0.105964
Cambridge	0.105855
Waterbury	0.105226
Danbury	0.105093
"White Plains"	0.105011
Wichita	0.10485
"Jersey City"	0.104519
Essex	0.104401
Springfield	0.104385
Montpelier	0.103616
ATTLEBORO	0.103102
Needham	0.102971
Rochester	0.102774
Burlingame	0.102452
Norwich	0.102195
LAKEWOOD	0.102158
"Overland Park"	0.100699
Stockbridge	0.100626
Gloucester	0.100457
Bergen	0.100413
Groton	0.0991102
Newark	0.0985522
Woburn	0.098377
"Walnut Creek"	0.098321
TRENTON	0.098229
"Santa Clara"	0.0977968
Cupertino	0.0975052
Utica	0.0973577
Chatham	0.0972571
Pittsfield	0.0970111
"Redwood City"	0.0968963
Newton	0.0965526
Raleigh	0.0959373
"New Bedford"	0.0951919
"Fort Lauderdale"	0.0947103
Yonkers	0.0945504
Boise	0.0945463
Holyoke	0.0943582
Fremont	0.0942466
Quincy	0.0937653
Rockport	0.0930605
Somerset	0.0929015
"South San Francisco"	0.0927592
Bayonne	0.0926848
Andover	0.0926742
"Fall River"	0.0925896
"Fort Lee"	0.0924241
Wellesley	0.0923485
Westfield	0.09225
Somerville	0.0917809
Bloomington	0.0916324
Norcross	0.0913559
"Santa Ana"	0.091317
"Thousand Oaks"	0.0910544
Windsor	0.0908948
Middlesex	0.090859
ASHEVILLE	0.0906684
Deerfield	0.0904815
"Menlo Park"	0.0904207
"East Orange"	0.0902365
Winston-Salem	0.0902025
Morristown	0.089426
Randolph	0.0892205
Brockton	0.0891537
"Santa Monica"	0.0891197
Providence	0.0890943
Bridgeport	0.0889986
Albany	0.0882116
Manchester	0.0881863
"Culver City"	0.0880341
Duluth	0.087688
Middlebury	0.0876613
Spokane	0.0875023
"El Segundo"	0.0869407
"Burlington Northern"	0.0864841
Minneapolis	0.0857613
Brookline	0.0857424
Sausalito	0.0856051
Arlington	0.0856049
Watertown	0.0854942
"West Palm Beach"	0.0853134
Glendale	0.0852202
Schenectady	0.0852166
"San Jose"	0.0851646
Hillsboro	0.0849513
"Silver Spring"	0.0849011
Lubbock	0.0847646
"Fort Worth"	0.0841941
Richmond	0.0841629
Bridgewater	0.0841617
"Van Nuys"	0.0840296
"Washington D.C."	0.0835377
Hopkinton	0.0830785
"Des Moines"	0.0827549
Winchester	0.0827379
Plymouth	0.0826085
Englewood	0.0824445
Youngstown	0.0821774
"Santa Fe"	0.0821264
Sussex	0.0820884
Bellevue	0.0819436
Amherst	0.0819174
Port-au-Prince	0.081903
Fairfax	0.0818717
Madison	0.0816301
"Santa Rosa"	0.0815663
Beaumont	0.0814753
Evanston	0.0811288
Tacoma	0.081085
"Westlake Village"	0.0810592
"San Luis Obispo"	0.0803703
Middletown	0.0803353
Lawrenceville	0.0801535
Acton	0.0794908
"El Paso"	0.0793021
Salem	0.0792891
Cumberland	0.0792249
"Garden City"	0.0792013
Scottsdale	0.0791943
Honolulu	0.0790382
Easton	0.0787984
Binghamton	0.0786334
Salisbury	0.0783008
"Oklahoma City"	0.0782579
Birmingham	0.0781233
anchorage	0.0779647
Knoxville	0.0779083
Fresno	0.0779058
"Saratoga Springs"	0.0778627
Falmouth	0.0778531
"St. Paul"	0.0777003
Rockville	0.0776952
Topeka	0.0776804
"Boca Raton"	0.07764
Lansing	0.0775977
Redmond	0.077565
Dubuque	0.0775417
"Santa Barbara"	0.0774388
Fayetteville	0.0772035
Concord	0.0771564
Berkeley	0.0767338
Louisville	0.0766549
Tuscaloosa	0.0766096
Harrisburg	0.0763249
"Round Rock"	0.0762857
Brooklyn	0.076165
Stratford	0.0761417
Greenville	0.0761154
Hartford	0.0759222
"Westchester County"	0.0758083
"Palm Beach Gardens"	0.0757516
"Santa Cruz"	0.0756494
"Newport Beach"	0.075612
"New London"	0.0752085
Greenwich	0.0751688
"Little Rock"	0.0751075
Peabody	0.0750163
Pasadena	0.0747592
Torrance	0.0747416
Brownsville	0.0747243
Dearborn	0.0746203
Chattanooga	0.0745091
"Research Triangle Park"	0.0742657
Charlotte	0.0742503
Shreveport	0.0741701
Camden	0.0741561
Gainesville	0.0739965
Marietta	0.0736259
"Twin Cities"	0.0734617
Lancaster	0.0734448
"Woodland Hills"	0.0733878
Macon	0.073334
"Simi Valley"	0.0732601
Austin	0.0731805
Nashua	0.0729402
Tempe	0.0727653
Covington	0.0724991
Missoula	0.0724195
))
("Burlington Northern" (desc 1171.22) (sims
"Union Pacific"	0.191024
"Times Co."	0.159611
SmithKline	0.154528
"Norfolk Southern"	0.152877
ALZA	0.148909
"Royal Bank"	0.148142
McKesson	0.136644
"National Grid"	0.134469
"Newport News"	0.134151
CSX	0.133909
GEC	0.132632
Warnaco	0.130416
RJR	0.130397
SkyTel	0.127232
Comsat	0.125464
Emulex	0.125246
Glaxo	0.124973
"Niagara Mohawk"	0.124241
"Thermo Electron"	0.124013
Publicis	0.123114
Healtheon	0.12302
Stratus	0.121213
"HBO &AMP; Co."	0.120971
Alcan	0.118861
WPP	0.117652
"Computer Associates"	0.117408
Hoechst	0.116784
Eurotunnel	0.116317
Daimler	0.114777
"Y&AMP;R"	0.114434
"Chrysler Corp."	0.114024
Asarco	0.112797
NatWest	0.112639
Norwest	0.11169
"True North"	0.111274
"Tribune Co."	0.110639
"Air Canada"	0.110413
"Bell Atlantic Corp."	0.109823
Pharmacia	0.109807
"U.S. Trust"	0.109802
"U S West Inc."	0.109706
"Fred Meyer"	0.109523
Daimler-Benz	0.108174
AMR	0.10716
"MindSpring Enterprises"	0.106868
"Chronicle Publishing"	0.106071
"Phelps Dodge"	0.104679
"Bankers Trust Corp."	0.104624
"Deutsche Bank AG"	0.104508
"Dow Chemical"	0.104483
Litton	0.104203
"RJR Nabisco"	0.104161
Cendant	0.104141
Ciena	0.103407
Paribas	0.103291
"Berkshire Hathaway"	0.101866
"Daimler-Benz AG"	0.101762
Tenneco	0.10081
AlliedSignal	0.0997501
NiSource	0.0988504
VEBA	0.0984038
NASD	0.0977495
"Times Mirror"	0.0976583
"English Football Association"	0.0974431
Primedia	0.0973674
Honeywell	0.097175
"American Home"	0.0960169
"NationsBank Corp."	0.0960066
Totalfina	0.0953679
Nabisco	0.0952796
"Bank of Scotland"	0.0947224
Citicorp	0.0945681
"BankAmerica Corp."	0.0942894
"USA Networks"	0.0935857
AIG	0.0932771
Viacom	0.0929327
WebMD	0.0920156
"British Petroleum"	0.0919794
"Cendant Corp."	0.0919007
UAL	0.0916412
"JDS Uniphase"	0.0916013
Sunbeam	0.091239
Exxon	0.0907017
Acela	0.090236
"U S West"	0.0900123
Vivendi	0.0898881
"Travelers Group"	0.0896959
Bestfoods	0.0894037
"Stock Exchange of Hong Kong"	0.0893358
EarthLink	0.0887777
Lockheed	0.0883558
MiniMed	0.088324
Avondale	0.0879928
BankAmerica	0.0878585
LTCB	0.0877013
"Price Waterhouse"	0.0876247
"Union Carbide"	0.0874337
Warner-Lambert	0.0870085
UBS	0.0869875
"Northeast Utilities"	0.0869329
"Lycos Inc."	0.0868302
Medtronic	0.0865243
Astra	0.0865092
Burlington	0.0864841
"Boston Scientific"	0.0854075
NORTHROP	0.0853601
"Con Ed"	0.0853437
"Goldman Sachs Group"	0.0851685
"Seagram Co."	0.0847506
CUC	0.0843363
"Wells Fargo"	0.0843282
"Canal Plus"	0.0842296
"Exxon Corp."	0.083992
"Glaxo Wellcome"	0.0837288
Telefonica	0.0836248
BCE	0.0835472
"Silicon Graphics"	0.0835436
AHP	0.0835002
Maytag	0.0833557
GANNETT	0.0833219
"J&AMP;J"	0.083313
kingfisher	0.0831237
"Ford Motor"	0.0830423
CMGI	0.0826902
Rhone-Poulenc	0.0826119
"BP Amoco"	0.0825885
Corning	0.0823004
ExciteAtHome	0.0821479
LIFFE	0.0818727
WorldCom	0.0816725
"WorldCom Inc."	0.0813885
Lilco	0.0813843
"Sara Lee"	0.0813633
"Dai-Ichi Kangyo Bank"	0.0810581
Avis	0.0809861
"Staples Inc."	0.0805122
"Telecom Italia"	0.0802185
"British Aerospace"	0.0801275
REVLON	0.0800322
Agilent	0.0800258
"Waste Management"	0.0800245
Halliburton	0.0799409
Bristol-Myers	0.0799318
DrKoop.com	0.0799199
Marketspan	0.0798467
Mobil	0.0796035
Genzyme	0.0791107
Interpublic	0.0791046
"Airport Authority"	0.0791038
Humana	0.0788702
"P&AMP;G"	0.0788019
Mannesmann	0.0787599
"London Stock Exchange"	0.078642
Heinz	0.0784103
Seagram	0.0783884
Airtouch	0.0779564
"CMGI Inc."	0.0776427
"Long-Term Credit Bank"	0.07754
Webvan	0.0772836
Carrefour	0.0772177
Schlumberger	0.0771058
"News Corp."	0.0770531
"House Budget Committee"	0.0767307
"Coca-Cola Enterprises"	0.0766764
"American Home Products"	0.0766669
"UAL Corp."	0.0764482
"Real Networks"	0.0761982
"Bell Atlantic"	0.0754641
VoiceStream	0.074973
Starwood	0.074896
PEOPLESOFT	0.0746856
N@K	0.0746132
"Knight Ridder"	0.0744735
"Bank of Japan Ltd."	0.0744053
VICKERS	0.0742409
YPF	0.0740825
"US West"	0.0740756
"Con Edison"	0.0739499
"Deutsche Bank"	0.0736495
Instinet	0.0735781
E-LOAN	0.0733549
RWE	0.0733453
YankeeNets	0.0733358
Pepsico	0.0731445
"Dresdner Bank"	0.0730886
"Bausch &AMP; Lomb"	0.0730757
EMI	0.0730706
"Global Crossing"	0.073031
EMC	0.0730016
"National Semiconductor"	0.0728844
Nikko	0.0728626
"Time Inc."	0.0726528
"Viacom Inc."	0.0726437
"Long Island Rail Road"	0.0725569
Travelers	0.0724325
"NEC Corp."	0.0719589
"Chevron Corp."	0.071669
"International Paper"	0.0713857
Georgia-Pacific	0.071347
Omnicom	0.0712014
))
(Burma (desc 10569) (sims
Myanmar	0.168681
Laos	0.168517
"Viet Nam"	0.145245
Cambodia	0.139079
"Papua New Guinea"	0.134735
Brunei	0.132155
Maldives	0.128877
Vietnam	0.126723
"Sri Lanka"	0.124958
Haiti	0.123545
Bhutan	0.123473
Peru	0.117661
Indonesia	0.117524
Algeria	0.116423
Fiji	0.115728
Libya	0.1148
Sudan	0.113778
Mongolia	0.113625
Uzbekistan	0.113583
Niger	0.113195
Philippines	0.111851
Pakistan	0.111221
Madagascar	0.108166
Korea	0.108101
Cuba	0.107919
"South Vietnam"	0.107794
"North Korea"	0.107199
Malaysia	0.106088
Nigeria	0.10604
Colombia	0.105902
Senegal	0.103468
Somalia	0.10284
Bangladesh	0.102826
"Ivory Coast"	0.102768
Afghanistan	0.10161
Iran	0.101403
Venezuela	0.101077
Thailand	0.100913
"Sierra Leone"	0.100552
Nicaragua	0.0996495
"South Korea"	0.0985148
India	0.0983213
Congo	0.0982138
Burundi	0.0979152
Poland	0.0972058
Tajikistan	0.0967038
Yemen	0.0959444
Zaire	0.0956221
Guinea	0.0952031
Mozambique	0.0944358
Malawi	0.0940103
Benin	0.0939024
Rhodesia	0.0937307
Kyrgyzstan	0.0935506
Nepal	0.0934252
Latvia	0.0926442
Indochina	0.0926266
Namibia	0.092484
Qatar	0.0921547
Czechoslovakia	0.0921266
Mali	0.0919067
Armenia	0.0918468
Azerbaijan	0.0913644
Angola	0.0906831
Turkmenistan	0.090182
Ethiopia	0.090147
"Republic of Korea"	0.0894265
Hungary	0.0880032
"Asian nation"	0.0878779
Togo	0.0876934
Guinea-Bissau	0.0876415
Bulgaria	0.0875583
Singapore	0.0867788
"South Africa"	0.086347
Chile	0.0863304
"Central African Republic"	0.086075
Ghana	0.0858506
Mexico	0.0853517
"Saudi Arabia"	0.0850931
Chad	0.084501
Ecuador	0.0843531
Egypt	0.0842125
"El Salvador"	0.0841264
Guatemala	0.0836473
Romania	0.0831856
Liberia	0.0829921
Bolivia	0.0829445
Malta	0.0824109
Yugoslavia	0.0823557
Serbia	0.0817513
Gabon	0.0812137
Uganda	0.0809925
Austria	0.0808711
"Asian country"	0.0807674
Belarus	0.0806845
Kazakstan	0.0805225
"East Germany"	0.0804773
Zambia	0.0802973
Lithuania	0.0797763
Kazakhstan	0.0795719
Argentina	0.0790403
Oman	0.0788215
Zimbabwe	0.0782983
Suriname	0.0778445
Cameroon	0.0778319
Turkey	0.077765
Panama	0.0775252
Croatia	0.0773812
Kenya	0.0771713
Kirghizstan	0.0767284
Seychelles	0.0767163
Kuwait	0.0762452
Syria	0.0762281
Tibet	0.0753857
"African nation"	0.0750368
Taiwan	0.0745894
Tadzhikistan	0.0743604
Republic	0.074306
"New Zealand"	0.0742175
"Chinese Taipei"	0.0739992
Morocco	0.0738131
Guam	0.0737955
"Soviet Union"	0.0735451
Tunisia	0.0735223
Australia	0.0730688
Moldova	0.0726668
Mauritius	0.072556
Ukraine	0.0724214
Palestine	0.0713742
Rwanda	0.0712432
UNDCP	0.0707904
Greece	0.0707884
Lebanon	0.0706872
Bahrain	0.070534
Brazil	0.0700431
PNG	0.0699502
Mauritania	0.0698326
Botswana	0.0695631
Paraguay	0.0691756
Cameroun	0.0685195
Jamaica	0.0684773
Bosnia	0.0684208
"United Arab Emirates"	0.0682674
Bosnia-Herzegovina	0.0682057
Albania	0.0681318
"Equatorial Guinea"	0.0679539
Slovenia	0.0679263
Finland	0.0677086
"Costa Rica"	0.0676997
Tanzania	0.0674372
"Guinea Bissau"	0.0670095
Lesotho	0.0669612
Iceland	0.0668325
Gambia	0.0668024
DPRK	0.0665114
Chechnya	0.0659811
Slovakia	0.0657766
Macedonia	0.0657072
"DPR Korea"	0.0655084
"Republic of Congo"	0.0652928
Switzerland	0.0650914
Djibouti	0.0649385
"African country"	0.0641521
Comoros	0.0640988
Grenada	0.0640382
Honduras	0.0637317
"Dominican Republic"	0.0634718
Belgium	0.0634299
Samoa	0.0634157
Kingdom	0.0632892
Guyana	0.0631986
"East Timor"	0.0630217
"United Kingdom"	0.0628119
"North Vietnam"	0.0624459
Dominica	0.0624451
Swaziland	0.0623222
"Democratic People's Republic of Korea"	0.0621605
Macau	0.0620492
Norway	0.0620169
"Burkina Faso"	0.0618285
Kashmir	0.0615707
"Russian Federation"	0.0615517
Guangxi	0.0614363
Portugal	0.061165
Estonia	0.0611523
"Latin America"	0.0604671
"Central Africa"	0.0603909
Tuvalu	0.0602747
"Great Britain"	0.0601764
Montenegro	0.0596495
Uruguay	0.0595323
"Central America"	0.0594413
Barbados	0.0591325
Abkhazia	0.0590264
Lao	0.0588639
"Southeast Asia"	0.058785
"Federal Republic"	0.0586895
Vanuatu	0.0586571
Denmark	0.0584027
"Eastern Europe"	0.058267
))
(burn (desc 27040.8) (sims
bruise	0.181817
wound	0.176855
abrasion	0.16106
laceration	0.149314
fracture	0.148459
trauma	0.126454
inhalation	0.126186
dehydration	0.11953
injury	0.118801
ulcer	0.116796
suffocation	0.114431
pneumonia	0.111346
sprain	0.11087
leukemia	0.110501
hypothermia	0.108828
"heart attack"	0.108197
"heat exhaustion"	0.107279
concussion	0.100844
ailment	0.100689
contusion	0.10065
infection	0.100297
scar	0.0960882
hemorrhage	0.0942024
"back pain"	0.0928342
"heart failure"	0.0924245
"food poisoning"	0.0919985
"blood clot"	0.0895009
"liver disease"	0.089486
"heart disease"	0.0880784
gunshot	0.0880305
poisoning	0.0876468
"brain tumor"	0.0866818
arthritis	0.0863686
sore	0.0860625
asthma	0.0859301
"Parkinson's disease"	0.0845745
welt	0.0842512
"colon cancer"	0.0834093
"chest pain"	0.0831592
swelling	0.0830777
scrape	0.0827645
emphysema	0.0823321
malnutrition	0.0817585
illness	0.0816156
hypertension	0.0810912
fever	0.0808917
disorder	0.0804979
"lung cancer"	0.0799493
lung	0.0797517
cancer	0.0796826
diarrhea	0.0785121
pain	0.0781667
"eye disease"	0.0772084
"congestive heart failure"	0.0770063
Gash	0.0765099
paralysis	0.0765
blister	0.0759415
stroke	0.0754899
"heart condition"	0.0753788
diabetes	0.0750187
"cardiovascular disease"	0.0745901
sickness	0.0734975
"mental disorder"	0.0734383
frostbite	0.073416
cataract	0.0730595
"rheumatoid arthritis"	0.0730419
symptom	0.0726331
overdose	0.0723102
Exhaustion	0.0719803
"dog bite"	0.07188
epilepsy	0.0718456
"high blood pressure"	0.0715403
rib	0.0714714
"mental illness"	0.0714163
schizophrenia	0.071048
disease	0.0705622
acne	0.070217
inflammation	0.0698671
syndrome	0.0698551
allergy	0.0697616
"multiple sclerosis"	0.0695269
migraine	0.0694505
hernia	0.0694044
flu	0.0691974
melanoma	0.0690049
cold	0.0687488
lesion	0.0683732
angina	0.0682366
complication	0.0682358
defect	0.0681642
Osteoporosis	0.0680966
sunburn	0.0679761
diarrhoea	0.0678239
"black eye"	0.0677818
shock	0.0674634
Depression	0.067138
bone	0.0669352
hepatitis	0.0668113
tuberculosis	0.0665653
fatigue	0.0661906
lymphoma	0.0654577
dementia	0.0653291
"kidney disease"	0.0652441
anemia	0.0651173
abscess	0.0650144
strangulation	0.0648089
Meningitis	0.0648057
bite	0.0647946
pelvis	0.0643531
"cystic fibrosis"	0.0642417
stitch	0.064139
hemophilia	0.064121
malaria	0.063757
indigestion	0.0635546
bronchitis	0.0634266
headache	0.0626303
tumor	0.062268
impairment	0.0619684
"cerebral palsy"	0.0619631
heartbeat	0.0618142
disability	0.0614091
glaucoma	0.061364
starvation	0.061077
bump	0.0610688
strain	0.0608736
osteoarthritis	0.060718
surgery	0.0605333
heartburn	0.0605182
muscle	0.0603518
deformity	0.0603075
ligament	0.0601109
MetroStars	0.0600014
scratch	0.0595213
"health problem"	0.0590514
kidney	0.0588086
"Lyme disease"	0.0587621
cramp	0.0586855
ankle	0.058482
"skin cancer"	0.0584741
seizure	0.0578274
nausea	0.0578058
splint	0.0577415
abnormality	0.0575707
spill	0.0573999
Parkinson's	0.0567969
deficiency	0.0563418
infertility	0.05622
Huskers	0.0558969
autism	0.0556258
dislocation	0.0553377
ache	0.0551579
Obesity	0.0551132
"asthma attack"	0.0550335
irritation	0.0548582
groin	0.0545767
spasm	0.0545228
leg	0.0544391
relapse	0.0541597
exposure	0.0540379
bandage	0.0539893
rash	0.0537467
"forest fire"	0.053554
"financial loss"	0.0535258
influenza	0.0534998
"dengue fever"	0.0532505
retardation	0.0532013
tattoo	0.0526832
blaze	0.052657
apnea	0.0523498
collarbone	0.052207
Alcoholism	0.0521462
"memory loss"	0.0519945
Tb	0.0518828
smoke	0.0514665
"emotional distress"	0.0511975
"infectious disease"	0.0511248
HIV	0.0509955
"drug addiction"	0.0508751
malfunction	0.0507611
liver	0.0507396
scab	0.0506653
wildfire	0.0501459
deterioration	0.050012
cholera	0.0499389
Alzheimer	0.0498828
transplant	0.04985
Addiction	0.0498287
"air pollution"	0.0496337
famine	0.0496247
casualty	0.0495782
mishap	0.0495769
"power failure"	0.0495424
facial	0.0494511
"side effect"	0.0494117
limb	0.0493763
accident	0.0492219
torture	0.0491827
drought	0.0489183
nerve	0.0488759
"soil erosion"	0.04887
))
(burner (desc 14159.8) (sims
stove	0.13514
grill	0.102835
furnace	0.0878461
oven	0.0839
boiler	0.0802355
"space heater"	0.0750274
heater	0.0704349
changer	0.0621732
"water heater"	0.0602223
ventilator	0.0586163
faucet	0.0565133
pan	0.0549665
rack	0.0548985
skillet	0.0547596
lamp	0.0544261
microwave	0.0543308
broiler	0.0539574
"work surface"	0.0535688
pot	0.0535074
generator	0.0532603
refrigerator	0.0523133
"solid ground"	0.0516652
"heating system"	0.0513897
briquette	0.0509351
respirator	0.0507951
fireplace	0.0507488
appliance	0.0505135
"air bag"	0.0501344
"microwave oven"	0.0492516
gyroscope	0.0492075
conditioner	0.0491865
GRIDDLE	0.0491808
shelf	0.0489671
afterburner	0.0488734
disc	0.0485797
"cooling system"	0.0480512
disk	0.0476617
air-conditioner	0.0473596
"vacuum cleaner"	0.0466172
airbags	0.0465576
"tv set"	0.0461451
wheel	0.0461284
kettle	0.0445436
"blast furnace"	0.0444413
"hearing aid"	0.0444372
spigot	0.0442503
"rocket engine"	0.0439834
lantern	0.0438723
floppy	0.0436673
flame	0.0434512
"frying pan"	0.0433884
incinerator	0.0430675
air-conditioning	0.0429935
candelabra	0.0428056
"floppy disk"	0.0427883
brake	0.0425115
wiper	0.0423548
stereo	0.0422691
"television set"	0.0421668
"bucket seat"	0.0416687
pipe	0.0416454
bowls	0.0415109
DVDs	0.0414951
"fax machine"	0.0414832
antenna	0.0413422
periphery	0.0408269
VCR	0.0408187
CD-ROM	0.040036
))
(Burnett (desc 4138.55) (sims
Mucha	0.094786
Mullen	0.0904816
Hartley	0.0899832
Parsons	0.0871022
Boyle	0.0863526
O'Sullivan	0.0858869
Rendell	0.0847607
Schmalensee	0.0833046
Donohue	0.0819685
Jaffe	0.0815906
Peters	0.0802531
Betts	0.0800646
Hamlin	0.0800591
Farber	0.0796395
hodgson	0.0795833
Clooney	0.0781073
Fiorina	0.0780174
Menchu	0.0778965
Kurth	0.0777747
Brazile	0.0774024
Midler	0.076676
Weinberg	0.0764051
Ivey	0.0759246
Meissner	0.0756476
Rosen	0.0754919
Kurtz	0.0754825
Thurman	0.0749137
Maritz	0.0742593
lynch	0.0742593
bock	0.0740517
Stephenson	0.0733512
Cleary	0.0732903
Cline	0.0728511
Molinari	0.0728167
Garber	0.0716425
Tuttle	0.0713309
Wiggins	0.0713099
Zuckerman	0.0708958
Russo	0.0705855
Tevanian	0.0704839
Ackerman	0.0701848
Lowry	0.0701815
Cowens	0.0701686
Abram	0.0700096
Colburn	0.0691888
Goldin	0.0691174
McDonnell	0.0686889
Lurie	0.0683869
Friedman	0.0683606
Barksdale	0.0683201
Nilsson	0.0673666
DeFrantz	0.0671609
Eizenstat	0.06714
Briscoe	0.0669752
Woodard	0.0669225
Jensen	0.0668728
Zarb	0.0668716
"Y&AMP;R"	0.0666004
Weiner	0.0665897
Arron	0.0665747
Ashrawi	0.0661201
Farley	0.0659184
Trevi	0.0658591
Greenwald	0.0658541
Spielberg	0.0657895
MacKay	0.065469
Talebi	0.065454
Stahl	0.0653888
Ingalls	0.0653059
Mcbride	0.0651784
Kirkpatrick	0.0651761
Finkel	0.0651171
Kaufman	0.0650048
"Saatchi &AMP; Saatchi"	0.0649528
Callahan	0.0647033
Petersen	0.0646303
Levine	0.0645351
Lange	0.0645129
Farrell	0.0644786
Taymor	0.0644446
Sorensen	0.0643227
LeBlanc	0.0643108
Monahan	0.0643048
Fassett	0.0642187
Spitzer	0.0640314
McCormack	0.0639284
Marx	0.0638882
Sheedy	0.0637745
Higgins	0.0636433
Garofalo	0.0634696
Feldman	0.0633324
Soros	0.0633027
Rivlin	0.0632491
Allchin	0.0631489
Dumas	0.0630104
Ruehe	0.0629732
Hickman	0.0628758
McConnell	0.0628438
Upshaw	0.0627031
Kagalovsky	0.0624954
Wynn	0.0624159
Rockwell	0.0623198
"Omnicom Group"	0.0623054
Coelho	0.0621499
Henley	0.0620736
Christensen	0.0620722
Doherty	0.0620636
Dion	0.0619816
Rubenstein	0.0619801
Hauser	0.0619401
Ryder	0.0615361
Sorkin	0.0614352
Chenoweth	0.0613471
Oliveira	0.0612255
Winfrey	0.0611941
Ratner	0.06117
Egan	0.0611292
Gifford	0.0610742
Mckee	0.0608678
Pfeiffer	0.0607505
Torres	0.0606988
Harr	0.0606601
Rowling	0.0605257
Hartman	0.0604324
Tomlin	0.0603992
Brooks	0.0603
Flockhart	0.0602608
Redgrave	0.0602322
Thomson	0.0602018
Wolfe	0.0601757
"Bill Lockyer"	0.0600922
Thompson	0.0599697
Foote	0.0598718
Healy	0.0598635
Livent	0.0598437
Byrne	0.0597313
Eisner	0.0596735
Cramer	0.0596519
Davidson	0.0595991
Swanson	0.0595629
Copeland	0.0593984
O'Connell	0.0592791
Bridgestone	0.05927
McCurry	0.0592416
"AMR Corp."	0.0591072
Schwartz	0.0590507
Ferguson	0.059049
Fink	0.058957
Raytheon	0.0588789
Monsanto	0.0588194
Flaherty	0.0587483
Whaley	0.0586746
"Ford Motor Co."	0.0586119
Jacobs	0.0586059
Berman	0.058557
Shelton	0.0583882
Haskins	0.0583449
Whalen	0.0583297
Bronfman	0.0582908
Coffey	0.0582521
Jeffers	0.058227
Hanna	0.0581447
McMillan	0.0581384
Britton	0.0581034
Forrest	0.0580866
FAWCETT	0.0580541
Madden	0.0580363
Gilman	0.0579814
Sommer	0.0578878
Patten	0.0578034
Ganassi	0.0577591
Blumenthal	0.0577552
Newsome	0.0577194
Severino	0.0576693
Prewitt	0.0576692
Waxman	0.0576294
bullock	0.0575943
Marineau	0.0574486
Dixon	0.0573681
Ebersol	0.0573531
Gilmore	0.0573467
Maynard	0.0572032
Mapes	0.0571267
Koop	0.0571167
Costner	0.0570965
Pollack	0.05708
Kessler	0.0569388
Aoki	0.0569301
Krall	0.0569213
Saatchi	0.0567695
Deneuve	0.0567328
Wolfson	0.0567176
Kennelly	0.0566703
Quintero	0.0566599
Eastwood	0.0566486
Cruz	0.056525
Groscost	0.0565116
Hess	0.0564728
McGovern	0.0564645
Grossman	0.0564514
))
(BURNHAM (desc 2178.22) (sims
Barad	0.168679
Kerik	0.158519
Skiles	0.122725
Daft	0.121328
Naumann	0.120673
Eizenstat	0.118521
Sheehan	0.117887
Finkel	0.115692
Ruehe	0.115429
Lundy	0.11276
ISSEL	0.111741
Wiatt	0.109398
Prewitt	0.109025
Ackerman	0.108386
Marineau	0.108313
Kuhn	0.107178
Iger	0.105147
Moratinos	0.104822
Joklik	0.104817
Rossotti	0.104691
Stoneman	0.104687
Valenzuela	0.104482
Camacho	0.104464
Kasyanov	0.104112
Fiorina	0.103194
Kumar	0.102616
hodgson	0.1021
Mikhailov	0.101595
Gartner	0.101508
Advani	0.101432
Passarella	0.101167
Hagel	0.100172
Egan	0.099815
Catacosinos	0.0994452
Ralston	0.099382
Coelho	0.0993226
Koskinen	0.0991766
Faget	0.098862
Tarawneh	0.0987638
Noboa	0.0986166
Yastrzhembsky	0.0983882
Gosper	0.0977278
Kasoulides	0.0975966
Zadornov	0.096196
Indyk	0.0960456
Gilman	0.0959534
Hiett	0.0957389
Manley	0.0955552
Burleigh	0.0954743
Vance	0.0953868
Sato	0.0949003
ROMNEY	0.0947813
Velayati	0.094493
Zambrano	0.0940321
Troussier	0.0931743
DeFrantz	0.0926731
Hodler	0.0925176
Kearin	0.0915878
Holl	0.0909404
Aliev	0.0907156
Braswell	0.0906389
Sykes	0.0899435
Tanaka	0.0893155
Jauron	0.0891368
Murad	0.0889433
Ruggiero	0.0889406
Majko	0.0889005
Arens	0.0886272
Willes	0.0886184
Kirkpatrick	0.0885756
Rosenblatt	0.0885159
Hauser	0.0884037
Fulmer	0.0881995
Coulter	0.0878319
Diouf	0.0876652
Fagan	0.0872677
Karmazin	0.0871389
Tian	0.0869629
Nunez	0.0866289
Mandelson	0.0863599
Cubas	0.0863298
Kazhegeldin	0.0863254
Wolfson	0.0860526
Ivester	0.0859894
Conroy	0.085795
Beazley	0.0855454
Sassa	0.0855338
Wenger	0.0854379
Singson	0.0853331
Solis	0.0851327
Flanagan	0.085106
Podesta	0.0850673
Soyinka	0.0849069
Harmoko	0.0841099
Gorter	0.0840868
Ikeda	0.0839908
Laudrup	0.0838414
Koop	0.0837951
Patel	0.0836004
Valenti	0.0835747
Merlino	0.0833867
Ebersol	0.0829664
Schuerholz	0.0828981
Pruett	0.0828763
McDonnell	0.082638
Rahal	0.0821114
Klima	0.0820881
Choate	0.0820327
DIMON	0.0820312
Tocchet	0.0820264
Gullit	0.0819467
Vogts	0.0819347
Rothenberg	0.081922
Gullikson	0.0817862
Winkler	0.0817431
McCurry	0.0817124
Verniero	0.0816971
Zarb	0.0816368
Eisner	0.0815267
Maldini	0.0813791
Sharansky	0.0811288
Feuer	0.081027
Mendez	0.0809484
Hunsicker	0.0809446
Meissner	0.0808807
Atwood	0.0807996
Babcock	0.0807994
Madden	0.0807856
Berenson	0.0805201
Esrey	0.0803992
Bratton	0.0803232
Mullin	0.0802711
Merkel	0.0801006
Jacquet	0.0800121
Schuessel	0.0798858
Conway	0.0796757
Barbour	0.0796709
Bakaly	0.0796483
Molinari	0.0796065
Epstein	0.0794071
Azizah	0.0794032
Engel	0.0793806
Jarrell	0.0793012
Fabius	0.0792785
Yoo	0.079226
Bragman	0.0791588
spina	0.0787615
Fraga	0.078591
Hartsburg	0.0784725
Kyprianou	0.0784674
Wagoner	0.0780954
Ogata	0.0778491
Bochy	0.0778177
Padilla	0.0776257
Safir	0.0773845
Zhirinovsky	0.0772982
Maslyukov	0.0771929
Piccard	0.0771905
Andreessen	0.0770831
"Marzuki Darusman"	0.0770213
Stayner	0.0768716
"de Charette"	0.0768465
Dunleavy	0.0768413
Meguid	0.0767922
Caddell	0.0766791
Soros	0.0766283
Conte	0.0766208
Bettman	0.0765559
beamer	0.0764727
Ashcroft	0.0764497
Yandarbiyev	0.0763762
Mehta	0.076247
Ramsey	0.0762257
Garza	0.076019
Kelleher	0.0759895
Boesak	0.0759702
Kodikian	0.0758336
Paxon	0.0758152
Shevardnadze	0.0758074
"Joseph Ralston"	0.0757969
Hersh	0.0757485
Rais	0.0757273
Kopp	0.0756853
Venables	0.0756226
Bizimungu	0.0754341
Kalejs	0.0754322
Hirschbeck	0.0753998
Caldera	0.0753783
Tillman	0.0753306
Bolger	0.0753084
Kaczynski	0.0753073
Nasser	0.0752898
Alarcon	0.0752824
Fleischer	0.0752693
Musa	0.0751851
Byrne	0.0749949
Rashid	0.0749857
Rawlings	0.0749603
Wolfensohn	0.0749437
Hybl	0.0749045
))
(burning (desc 6616.61) (sims
torching	0.119931
combustion	0.0939387
destruction	0.0845781
"more than @@@ million tons"	0.0778072
"human activity"	0.0739077
overuse	0.0718724
desecration	0.0707977
decomposition	0.0703568
importation	0.069882
"about @@@ tons"	0.0698651
abduction	0.067856
burnings	0.0675377
storming	0.0663275
arson	0.0658852
"mass murder"	0.0646583
looting	0.064615
dumping	0.0640346
phaseout	0.0638352
using	0.0633345
raising	0.0629615
pumping	0.0606728
oversupply	0.0602716
"more than @@@ tons"	0.0600276
seizure	0.0599271
"about @,@@@ tons"	0.0592207
kidnapping	0.0590985
"more than @@,@@@ tons"	0.0585157
"six million tons"	0.0584722
"more than @,@@@ tons"	0.0571113
clear-cutting	0.0558726
vandalism	0.0555592
demolition	0.0552687
deforestation	0.0551424
"one ton"	0.0543508
mutilation	0.0540085
targeting	0.0536306
Stabbing	0.0534225
"drive-by shooting"	0.0533178
"more than @@ million tons"	0.0525692
assassination	0.0520645
felling	0.0515036
pillaging	0.0509244
tailpipe	0.0508341
"four million tons"	0.0508326
incineration	0.0506752
rape	0.0504922
importing	0.0503767
confiscation	0.0503662
theft	0.0497229
cleansing	0.0494059
slaying	0.049197
harvesting	0.048572
atrocity	0.0485568
beating	0.0484227
deportation	0.0483703
lynching	0.0483114
break-in	0.0482306
"fossil fuel"	0.0477896
leakage	0.0471355
spillage	0.0470292
drilling	0.046412
disbanding	0.046373
"rising prices"	0.0461606
"over @,@@@ tons"	0.0460985
closing	0.046057
logging	0.0457984
"about @@@,@@@ tons"	0.0453503
eviction	0.0452004
stockpiling	0.0449319
expulsion	0.0446467
evacuation	0.0443932
hostage-taking	0.044058
spraying	0.044037
"million tons"	0.0440319
metabolism	0.0437845
exodus	0.043753
shipload	0.0437174
burglary	0.0436881
shelling	0.0436315
dredging	0.0435167
robbery	0.0434703
smuggling	0.0432726
"genetic engineering"	0.0430804
inundation	0.0428541
carrying	0.0425905
"bomb blast"	0.0424164
exploitation	0.0423552
overproduction	0.0423502
glut	0.0423319
photosynthesis	0.0422968
circumcision	0.0422954
"more than @ million tons"	0.0421896
firing	0.0421105
hijacking	0.0420354
victimization	0.0416455
jailing	0.0415296
poaching	0.0414919
displacement	0.0414145
"three million tons"	0.0414072
fumigation	0.0413194
dismantling	0.0413123
prostitution	0.0411751
outflow	0.0409022
depletion	0.0408609
persecution	0.0406876
stabbings	0.0400978
))
(burnings (desc 4498.63) (sims
arson	0.169342
looting	0.128801
stabbings	0.125749
pillaging	0.110491
kidnapping	0.106303
rape	0.104635
abduction	0.101213
vandalism	0.0982164
robbery	0.0943725
mutilation	0.0930687
harassment	0.0886615
break-in	0.0882127
theft	0.087635
"drive-by shooting"	0.0860594
"race riot"	0.0837987
hijacking	0.0836187
hooliganism	0.0805933
extortion	0.080132
beating	0.0798772
"bank failure"	0.0793472
riot	0.0782195
lawlessness	0.0779734
rioting	0.0777415
"sexual assault"	0.0772629
burglary	0.0769578
sabotage	0.0767438
carjackings	0.0767291
banditry	0.0764189
hostage-taking	0.0757372
"armed robbery"	0.075279
"mass murder"	0.0734772
maiming	0.0715324
cleansing	0.0712731
intimidation	0.0708989
strangulation	0.0708308
lynching	0.069929
megamergers	0.0695397
burning	0.0675377
"work camp"	0.0669776
"earnings disappointment"	0.0663933
gunplay	0.0659836
drownings	0.0658298
assassination	0.0649923
desecration	0.0635056
pillage	0.0628382
mugging	0.0622783
blackmail	0.0619839
shelling	0.0601287
unrest	0.0600725
atrocity	0.0597846
bloodletting	0.058347
expulsion	0.0582686
victimization	0.0579992
"violent death"	0.0567696
"child abuse"	0.0565189
molestation	0.0563242
torching	0.0556989
slaying	0.0553476
poisoning	0.0551302
repression	0.0550562
bloodshed	0.0541657
castration	0.0539841
starvation	0.0535998
homicide	0.0531577
"election fraud"	0.0529051
pogrom	0.052561
"brush fire"	0.0525605
mistreatment	0.0519277
taking	0.0518915
mega-mergers	0.0514625
brutality	0.0511823
outages	0.0510327
mayhem	0.0506252
persecution	0.0504869
spillage	0.0503208
tremor	0.0503047
illegality	0.0502366
revers	0.0501788
targeting	0.0500815
extremism	0.0499908
gunfire	0.0498064
sell-offs	0.0496388
"civil disobedience"	0.049529
seizure	0.0495124
"forest fire"	0.0492267
incest	0.0490989
steeple	0.0476887
savagery	0.0475855
oppression	0.0475287
holdup	0.0475101
desertion	0.0472228
deportation	0.0471431
dislocation	0.0470047
larceny	0.046898
provocation	0.0467559
smuggling	0.0464443
"bomb blast"	0.0463471
anti-Semitism	0.0462827
gunshot	0.0462769
slashing	0.0462017
"juvenile delinquency"	0.0461987
rustling	0.0461309
"drug trafficking"	0.0461054
"safety problem"	0.0460399
displacement	0.0459429
incursion	0.0457931
trafficking	0.0457729
stalking	0.0456419
"interest rate increase"	0.0453578
"production problem"	0.045209
sit-in	0.0448077
firestorm	0.0446872
dispersal	0.0446858
homelessness	0.0446602
"power failure"	0.0442497
enactors	0.0439634
flare-up	0.043929
separatism	0.0436585
coverup	0.0436428
"drug use"	0.0434827
mishap	0.043475
"dog bite"	0.043426
malfeasance	0.0432676
carnage	0.0432598
"foul play"	0.0432318
Ostracism	0.0429205
"air raid"	0.0425129
Deacon	0.0424306
demolition	0.0422394
rollovers	0.0421183
infanticide	0.0419497
"artillery fire"	0.0419
piracy	0.0418935
disturbance	0.0417665
misogyny	0.0417366
"sexual harassment"	0.0417185
amputation	0.0416736
hyperinflation	0.0415412
homophobia	0.0415278
prostitution	0.0413147
shakedown	0.0412886
cataclysm	0.0410437
strife	0.0409711
upheaval	0.0409115
deforestation	0.0408975
whipping	0.0404421
famine	0.0403626
flogging	0.0403246
closings	0.0403223
battering	0.040096
))
(Burnitz (desc 1175.86) (sims
Fullmer	0.331741
Rolen	0.31371
"Geoff Jenkins"	0.285039
"Matt Lawton"	0.28456
Vidro	0.281743
"Cristian Guzman"	0.268784
"Eric Owens"	0.266861
Lankford	0.262823
"Deivi Cruz"	0.255858
Abreu	0.255846
"Marvin Benard"	0.25529
"Mark Kotsay"	0.25478
"Chris Widger"	0.249303
"Damian Miller"	0.247524
"Miguel Cairo"	0.244565
"Carlos Lee"	0.2402
"Rondell White"	0.239476
Lieberthal	0.236702
Alicea	0.235633
Aurilia	0.234926
Bautista	0.23485
Glanville	0.232515
"Kevin Jordan"	0.229658
"Ron Coomer"	0.227791
Tatis	0.226425
"Dean Palmer"	0.226224
Randa	0.223186
"Mark Loretta"	0.22304
Cirillo	0.220883
Spiers	0.220181
"Russ Johnson"	0.218798
"Herbert Perry"	0.218493
Fryman	0.216252
Higginson	0.214087
"Pat Meares"	0.213592
"Bobby Higginson"	0.213046
"Scott Spiezio"	0.211533
"Doug Glanville"	0.210242
Bordick	0.209095
"Scott Rolen"	0.208786
"Jose Valentin"	0.208772
"Joe Randa"	0.208513
"John Vander Wal"	0.208072
"Ray Durham"	0.206657
"Jeff Conine"	0.206447
Renteria	0.204826
"Vladimir Guerrero"	0.204712
"Lance Berkman"	0.20267
Batista	0.20251
"Rich Aurilia"	0.202325
Beltran	0.200802
"Bill Mueller"	0.200205
"Jose Vidro"	0.200158
"Warren Morris"	0.199928
"Tony Batista"	0.199276
"Todd Pratt"	0.197563
"J.T Snow"	0.196096
"Eric Chavez"	0.195177
Veras	0.194986
"Neifi Perez"	0.194868
"Orlando Palmeiro"	0.193351
Agbayani	0.193299
"Cliff Floyd"	0.193081
"Dante Bichette"	0.191394
"Brian Giles"	0.189012
Hollins	0.188745
"Phil Nevin"	0.188719
"Tony Eusebio"	0.187901
"Bengie Molina"	0.187606
Giambi	0.18701
McGriff	0.186881
Biggio	0.186452
Brogna	0.18611
Olerud	0.18606
Hatteberg	0.185588
"Bruce Aven"	0.185096
Ordonez	0.184953
"Mike Lieberthal"	0.184833
"Jeffrey Hammonds"	0.184309
"Derrek Lee"	0.184302
"Richard Hidalgo"	0.183149
"David Ortiz"	0.183031
Alfonzo	0.182931
"Bill Spiers"	0.181916
"Troy Glaus"	0.181906
"Preston Wilson"	0.181665
"Miguel Tejada"	0.181301
"Benny Agbayani"	0.180993
"Jeff Cirillo"	0.180832
"Stan Javier"	0.180328
"Jose Hernandez"	0.180004
"Mickey Morandini"	0.179916
"Joe McEwing"	0.179363
Frye	0.178629
DeShields	0.178383
"Corey Koskie"	0.178291
grieve	0.177705
"Bobby Abreu"	0.177213
Hidalgo	0.176976
"David Bell"	0.176244
"Brady Anderson"	0.175554
"Ruben Rivera"	0.175522
"Jason Kendall"	0.175518
Nevin	0.175334
"Dave Hansen"	0.174939
"Luis Alicea"	0.174723
Palmeiro	0.174662
"Johnny Damon"	0.174411
"Danny Bautista"	0.174236
"Henry Rodriguez"	0.174147
Sexson	0.173265
"Tim Bogar"	0.173174
Glaus	0.173145
"Kevin Young"	0.173061
Kapler	0.172996
"Jermaine Dye"	0.172597
"Juan Encarnacion"	0.172019
"Tom Goodwin"	0.170943
"Wally Joyner"	0.170427
"Marty Cordova"	0.170273
"Reggie Sanders"	0.169504
Velarde	0.169178
"Adam Kennedy"	0.16914
"Kurt Abbott"	0.168915
Thome	0.168865
Klesko	0.168837
Alomar	0.168814
"Alex Gonzalez"	0.168775
"Luis Gonzalez"	0.168454
"Matt Franco"	0.168053
"Mike Lowell"	0.167752
"Pat Burrell"	0.167501
"Jason Varitek"	0.1667
"Damian Jackson"	0.166341
"Mike Benjamin"	0.166266
"Darren Lewis"	0.16616
"Mike Sweeney"	0.165741
"Travis Fryman"	0.165317
Daubach	0.16411
"Jose Guillen"	0.163946
"Ray Lankford"	0.163594
"Marquis Grissom"	0.16353
"John Valentin"	0.163516
"Jeff Bagwell"	0.16289
Erstad	0.162668
Valentin	0.16218
"Fred McGriff"	0.162151
"Randy Velarde"	0.162069
Catalanotto	0.162025
Konerko	0.161861
"Enrique Wilson"	0.161562
"Dmitri Young"	0.161021
"Kelly Stinnett"	0.160774
"Richie Sexson"	0.160175
Stinnett	0.159939
Castilla	0.159828
"Butch Huskey"	0.159714
"Jeff Kent"	0.159058
"Gerald Williams"	0.159014
Guillen	0.159009
"Mark Grace"	0.158793
"Ron Gant"	0.158687
"Edgardo Alfonzo"	0.158599
"Eddie Taubensee"	0.158192
"Harold Baines"	0.157175
"Jason Giambi"	0.157164
"Mike Lamb"	0.157142
"Carlos Beltran"	0.157065
"Brian McRae"	0.156999
Gant	0.156734
"Derek Bell"	0.156212
"Ricky Gutierrez"	0.156203
"Darin Erstad"	0.156003
"John Olerud"	0.155587
"Terrence Long"	0.155399
"Devon White"	0.155271
"Aaron Boone"	0.15516
Delgado	0.155077
"Melvin Mora"	0.154993
"Jay Payton"	0.154778
McRae	0.154757
"Dave Martinez"	0.154666
Karros	0.15463
"Paul Bako"	0.154595
"Einar Diaz"	0.154464
Hollandsworth	0.153838
"Todd Walker"	0.152874
"Lenny Harris"	0.152783
"Lee Stevens"	0.152632
Segui	0.152588
"Paul Konerko"	0.152521
"Andy Fox"	0.152211
"Brian Hunter"	0.151788
"Keith Lockhart"	0.151573
Cordero	0.151218
"Moises Alou"	0.151145
"Will Clark"	0.151111
"Glenallen Hill"	0.150965
"Eric Karros"	0.149992
"Travis Lee"	0.149374
"Matt Walbeck"	0.149364
"Scott Brosius"	0.149349
Dunston	0.149268
Tejada	0.148866
Eusebio	0.148411
"Tony Fernandez"	0.147784
"Todd Helton"	0.147733
"Garret Anderson"	0.147596
"Jay Bell"	0.147421
"Kenny Lofton"	0.147321
"Brent Mayne"	0.147172
"Sandy Alomar"	0.147035
"Jim Leyritz"	0.146762
"Fernando Tatis"	0.146481
Baerga	0.146395
"Ricky Ledee"	0.146183
Ledee	0.145119
Bagwell	0.144523
"Walt Weiss"	0.144522
"Quilvio Veras"	0.144501
Lofton	0.144474
"Mike Bordick"	0.144469
"Matt Stairs"	0.144426
"Manny Alexander"	0.144348
"David Segui"	0.144342
"Chris Gomez"	0.14377
Lawton	0.14337
"Jay Buhner"	0.143301
"Jim Thome"	0.143298
"Ozzie Guillen"	0.143283
"Carlos Delgado"	0.142234
"Tony Clark"	0.142124
"Mike Lansing"	0.140664
Surhoff	0.140405
"Jose Offerman"	0.140303
"Jeromy Burnitz"	0.140187
Caminiti	0.14001
"Luis Sojo"	0.139037
"J.D Drew"	0.13892
"Tony Womack"	0.138614
"Robin Ventura"	0.138574
"Steve Finley"	0.138122
Elster	0.138039
"Mark Grudzielanek"	0.137903
"Shannon Stewart"	0.137795
"Roberto Alomar"	0.137594
"Tim Salmon"	0.137397
"Matt Williams"	0.137299
"Jeremy Giambi"	0.137043
"Craig Counsell"	0.13693
"Pokey Reese"	0.136848
"Carl Everett"	0.136604
"Luis Castillo"	0.136436
"Erubiel Durazo"	0.136126
"Edgar Martinez"	0.135805
Galarraga	0.135446
"Gary Sheffield"	0.135334
"Bret Boone"	0.134914
Guzman	0.134909
"Mike Stanley"	0.134688
Vizquel	0.134426
Bragg	0.134196
Bergeron	0.134155
"Charlie Hayes"	0.133729
Varitek	0.133693
"Ivan Rodriguez"	0.133612
Gutierrez	0.133388
Buhner	0.133291
"Dan Wilson"	0.133065
"Desi Relaford"	0.133022
"Todd Hollandsworth"	0.132646
Greer	0.132626
Javier	0.132497
"Brad Fullmer"	0.13233
Mabry	0.132187
"Ben Grieve"	0.132001
"Russ Davis"	0.13164
"Brook Fordyce"	0.131526
"Adrian Beltre"	0.131516
"Gabe Kapler"	0.131326
"Ellis Burks"	0.131305
"Rico Brogna"	0.130942
"Fernando Vina"	0.13072
"Gregg Jefferies"	0.130713
Counsell	0.130679
"Shawn Green"	0.130567
"Andruw Jones"	0.130494
Brosius	0.130414
"Tino Martinez"	0.130351
Grudzielanek	0.130256
"Rusty Greer"	0.13021
"Ken Caminiti"	0.130016
"Royce Clayton"	0.129945
"Eric Young"	0.129713
Womack	0.129681
Ripken	0.129675
"Luis Polonia"	0.129402
Molina	0.129028
"Brad Ausmus"	0.12872
Hundley	0.128305
"Gary DiSarcina"	0.127327
"John Mabry"	0.126861
"Darren Bragg"	0.12603
"Michael Tucker"	0.126021
"Bubba Trammell"	0.125988
Zeile	0.125914
"Javy Lopez"	0.125825
"Brian Jordan"	0.125675
Burks	0.125501
"Damon Buford"	0.125312
Leyritz	0.124854
"Brant Brown"	0.124828
"Kirk Gibson"	0.124756
Alou	0.124639
"Mike Cameron"	0.124205
"Tom Lampkin"	0.124173
"Craig Biggio"	0.124107
"Raul Mondesi"	0.123927
"Chad Curtis"	0.123798
"Rafael Palmeiro"	0.123776
"Damion Easley"	0.123579
Easley	0.123512
"Bernard Gilkey"	0.122739
"Chuck Knoblauch"	0.122563
Offerman	0.122346
DiSarcina	0.122183
"Raul Ibanez"	0.122152
Cabrera	0.122083
Boone	0.121973
McLemore	0.121542
Beltre	0.121205
"Kevin Stocker"	0.121023
"Craig Paquette"	0.120811
"B.J Surhoff"	0.120543
"Chipper Jones"	0.120261
"Todd Zeile"	0.12013
"Ryan Klesko"	0.12009
"Reggie Jefferson"	0.119852
"Jose Vizcaino"	0.119515
"Magglio Ordonez"	0.119446
"F.P Santangelo"	0.119122
Ausmus	0.119079
Ramirez	0.118931
Canseco	0.11846
"Trot Nixon"	0.118365
"Alex Rodriguez"	0.118122
"Sean Berry"	0.118119
Sheffield	0.117956
Sprague	0.117866
"Eddie Perez"	0.117761
"Mark McLemore"	0.117721
Sojo	0.117639
Meares	0.117494
"Ed Sprague"	0.116915
"Roger Cedeno"	0.116467
"Dave Hollins"	0.116269
"Trenidad Hubbard"	0.11619
"Jose Cruz Jr."	0.115889
"Otis Nixon"	0.115882
Loretta	0.115712
"Rickey Henderson"	0.115472
"Benji Gil"	0.115459
"Gregg Zaun"	0.11544
"Chili Davis"	0.115373
"Jim Edmonds"	0.114746
"John Jaha"	0.114526
"Quinton McCracken"	0.11411
Cora	0.113864
"Wilton Veras"	0.1132
McCarty	0.112746
Grissom	0.112529
Cedeno	0.112295
"Edgar Renteria"	0.112131
Knoblauch	0.112063
"Greg Vaughn"	0.111755
"David Dellucci"	0.111577
"Shane Andrews"	0.111322
"Darryl Hamilton"	0.111265
"Vinny Castilla"	0.111125
Schourek	0.110826
"Larry Walker"	0.110504
"Frank Thomas"	0.109989
"Todd Hundley"	0.109706
"Omar Vizquel"	0.10965
"Angel Pena"	0.109634
"Manny Ramirez"	0.109601
"Sean Casey"	0.109511
"Peter Bergeron"	0.109464
"Joey Cora"	0.109354
"Derek Jeter"	0.108884
"Barry Bonds"	0.108867
"Jose Canseco"	0.10842
"Al Martin"	0.108284
"Barry Larkin"	0.108183
"Brian Johnson"	0.108108
Huskey	0.108024
"Jorge Posada"	0.107648
Mondesi	0.107648
"Tony Gwynn"	0.10729
"Kevin Elster"	0.107141
Furcal	0.107051
Saenz	0.106944
Gilkey	0.106759
"Brian Daubach"	0.106705
"Rey Sanchez"	0.106336
Guerrero	0.106299
"Andres Galarraga"	0.105903
Garciaparra	0.105654
"Tyler Houston"	0.105332
"Jeff Huson"	0.105253
Mahomes	0.105072
"Karim Garcia"	0.104991
"Charles Johnson"	0.104943
"Rich Becker"	0.104869
"Mitch Meluskey"	0.104833
"Mike Piazza"	0.104821
Piazza	0.104761
Trammell	0.104603
"Bernie Williams"	0.104576
"Shawon Dunston"	0.104452
Vaughn	0.104328
"Tony Graffanino"	0.104004
"Mo Vaughn"	0.103853
Jeter	0.103818
Lampkin	0.103019
"Delino DeShields"	0.102928
"Luis Lopez"	0.102725
Goodwin	0.102195
"Willie Greene"	0.101661
Dellucci	0.10163
Merloni	0.101554
"Lance Johnson"	0.101168
Dempster	0.100797
"Nomar Garciaparra"	0.100742
Checo	0.100633
"Rafael Furcal"	0.100495
bloop	0.100431
))
(Burnout (desc 3736.69) (sims
"lead poisoning"	0.100932
rollovers	0.0968376
recidivism	0.0957255
relapse	0.093405
"memory loss"	0.0920617
tiredness	0.0912976
SIDS	0.0901549
C-section	0.0888058
fatigue	0.0874214
dislocation	0.0862759
absenteeism	0.0855288
overheating	0.0828295
"juvenile delinquency"	0.0827744
"turnover rate"	0.0809668
miscarriage	0.0802375
overconfidence	0.0798251
"writer's block"	0.0789525
"dog bite"	0.0788715
suffocation	0.0784615
letdown	0.0782843
"food poisoning"	0.0781566
recurrence	0.0779119
Obesity	0.0776678
dehydration	0.077498
"engine failure"	0.077172
boredom	0.0771623
"tooth decay"	0.0762211
alienation	0.0756632
"power failure"	0.0754282
"nervous breakdown"	0.075041
osteoarthritis	0.0748861
deflation	0.074885
gonorrhea	0.0748178
"bank failure"	0.0742593
malnutrition	0.0738864
delirium	0.0734988
"brain drain"	0.0734718
hypertension	0.0731133
trauma	0.0730564
sickness	0.0728991
corrosion	0.072614
infertility	0.0724078
overload	0.0717893
constipation	0.0716135
indigestion	0.0716055
loneliness	0.0714226
"Lyme disease"	0.071408
"venereal disease"	0.0713918
Depression	0.0706107
dementia	0.0704608
autism	0.0701813
destabilization	0.0699892
"contagious disease"	0.0699668
leprosy	0.0694372
upheaval	0.0694267
menopause	0.0694075
"heart disease"	0.0693994
"identity crisis"	0.0693029
"alcohol abuse"	0.0689038
disorientation	0.0682881
retrenchment	0.0680739
poisoning	0.0678377
self-satisfaction	0.0678321
Osteoporosis	0.0675457
"manic depression"	0.0674034
Rabies	0.0671084
deafness	0.0670744
"mental disorder"	0.0667928
Exhaustion	0.0667072
"bipolar disorder"	0.066606
deforestation	0.066529
anxiety	0.0662279
ulcer	0.0656426
"cash crunch"	0.0652726
aggravation	0.0650251
syphilis	0.0648669
"skin cancer"	0.064348
"asthma attack"	0.063953
snafu	0.063734
weariness	0.0637026
anemia	0.0635265
CJD	0.0632932
rupture	0.0632459
hypothermia	0.0629887
melanoma	0.0628343
clotting	0.0628177
"Siamese twin"	0.0627765
starvation	0.0627711
frostbite	0.0625491
famine	0.0624945
contamination	0.0624815
insomnia	0.0624135
student-athlete	0.0621632
"mental illness"	0.0618587
apnea	0.0617534
"fatal accident"	0.0617314
wasting	0.0616548
"child abuse"	0.0611234
"cancer death"	0.0610135
"high blood pressure"	0.0607844
slippage	0.0607573
"back pain"	0.0607398
disorder	0.0607382
"wear and tear"	0.0607203
foreclosure	0.0606667
paralysis	0.0605419
foul-up	0.0604683
condensation	0.0604502
overcapacity	0.0604295
degradation	0.0601066
"panic attack"	0.0599993
"heat exhaustion"	0.0599177
adulteration	0.0597458
contagion	0.0594523
negativity	0.0594021
piracy	0.0593569
insolvency	0.0593439
morbidity	0.0592276
mishap	0.0590941
leakage	0.0590654
workload	0.0589589
"sexually transmitted disease"	0.0588495
meltdown	0.058813
"interest rate increase"	0.058431
"hepatitis A"	0.0583496
Balkanization	0.0583265
jaundice	0.0583021
"moral hazard"	0.0582385
disillusionment	0.0581446
evaporation	0.0580589
"drug addiction"	0.0574968
instability	0.0574346
"health problem"	0.0572947
disunity	0.0572233
typhoid	0.0572113
Dengue	0.057182
"cardiovascular disease"	0.0571027
syndrome	0.0570999
heartburn	0.0568961
"respiratory disease"	0.0568877
inactivity	0.0567301
sloppiness	0.0566998
asthma	0.0566436
"dengue fever"	0.0564291
tampering	0.0563341
"information superhighway"	0.056307
catastrophe	0.0562836
"substance abuse"	0.056217
soreness	0.0561025
"sour grapes"	0.0560824
backsliding	0.0556145
impairment	0.0555433
"acid rain"	0.0554085
"Parkinson's disease"	0.0553605
diabetes	0.0552444
hyperinflation	0.0552332
displacement	0.0551914
duplication	0.0551712
"upset stomach"	0.0551479
"acquired immune deficiency syndrome"	0.0549784
malfunction	0.0549326
restlessness	0.0549205
morale	0.0545872
"stage fright"	0.0544649
relegation	0.0544545
migraine	0.054442
fatality	0.0544412
impotence	0.0544277
"heart failure"	0.0542119
deprivation	0.0537806
"foul play"	0.0537524
"heart attack"	0.0537315
delinquency	0.053731
disintegration	0.0536782
shakeout	0.0535309
Alcoholism	0.0534161
flu	0.0534067
marginalization	0.0534061
Psychosis	0.0533737
side-effects	0.0533176
worsening	0.0532994
arthritis	0.0532901
dysfunction	0.0532396
defection	0.0530878
Truancy	0.0530795
"West Nile"	0.0530672
hangover	0.0529834
gridlock	0.0529607
"deja vu"	0.0528124
Hantavirus	0.0526346
overkill	0.0524562
"ill health"	0.052432
likability	0.0524144
decay	0.0524002
dizziness	0.0523594
Dysentery	0.0523341
insecurity	0.0523017
drunkenness	0.0522595
price-fixing	0.0521214
acne	0.052091
))
(Burns (desc 15937.2) (sims
Carroll	0.0971571
O'Connell	0.0959102
collins	0.0823435
Adams	0.0804613
Jarvis	0.0802349
Gailey	0.0802091
Roberts	0.0794782
Talebi	0.0791959
Thompson	0.0787341
Lockhart	0.0787259
Olson	0.0778533
Fassel	0.0776412
Hackett	0.0775816
Phillips	0.0771628
Davies	0.0769734
Hanley	0.0754442
Davis	0.0751379
Richardson	0.0751093
Fleischer	0.0749204
Holmes	0.0746816
Kearin	0.0746684
Richards	0.0744587
Schmid	0.0741618
McCurry	0.073686
Walsh	0.0736476
Gates	0.0732732
Harris	0.0728948
Jones	0.0728435
Reeves	0.0724445
Oates	0.0722691
Snyder	0.0721735
Tung	0.0720353
Wang	0.071915
Evans	0.0718253
Bowden	0.0717612
Hartsburg	0.0716942
Goldin	0.0716303
Mitchell	0.0715376
Jaffe	0.0714351
"Van Gundy"	0.0713773
Bibby	0.0713496
Hoddle	0.071294
Wilson	0.0710146
Stevens	0.0710108
Ross	0.0706102
Klein	0.0704971
Quinn	0.0704675
Williams	0.0703319
smith	0.0703179
Cohen	0.0702263
Schwartz	0.0702125
Sampson	0.0702121
Murray	0.0698466
Torre	0.0697717
Jacobs	0.0697018
Nichols	0.0693923
Lau	0.0693657
Jackson	0.0693422
Lott	0.0691813
Bennett	0.0690264
Chan	0.0690155
Barnes	0.0689121
Edwards	0.0688283
Muckler	0.0687826
Haskins	0.0686434
Pitino	0.0685691
Weinberg	0.0685275
Watson	0.0685138
Crenshaw	0.0684503
Huang	0.0679138
Cooper	0.0678436
Riley	0.0677855
O'Brien	0.0676915
fisher	0.0675709
Matthews	0.0674972
Welch	0.0674024
Nelson	0.0673338
Chen	0.0672977
Carter	0.0669867
Myers	0.066982
Salim	0.0669471
Bhutto	0.0667197
Levin	0.0666601
Allen	0.0662467
Blair	0.0662146
Hitchcock	0.066205
Robinson	0.0661319
Russo	0.0661283
Robertson	0.0661127
Higgins	0.0659947
Greenspan	0.0659443
O'Neil	0.0658838
Brooks	0.0658745
Parker	0.0658463
Rogers	0.0657106
Belichick	0.065687
Ruehe	0.0655846
Shen	0.0653542
Abbott	0.0650643
Liu	0.064943
Lee	0.0647374
Moore	0.0647129
Tomey	0.0645603
Ferguson	0.0644186
Patterson	0.0639863
Ritter	0.0639766
Li	0.0639699
Flores	0.0639104
Parcells	0.0638746
Feldman	0.0638265
Ditka	0.0638189
Campbell	0.0638097
Miller	0.0636189
Gullikson	0.0634389
Goldberg	0.0633675
Friedman	0.0632525
Sherman	0.0630728
Watts	0.0629934
Torres	0.0628911
Morris	0.0628614
Erickson	0.0628297
Watkins	0.0627784
Johnston	0.0627606
McDonald	0.0627202
Zou	0.0625229
Hawkins	0.0625177
Hart	0.0624623
LU	0.0624243
Foley	0.0624029
Dewine	0.0623067
xu	0.0622936
Dierker	0.0622117
Hess	0.0621693
Tagliabue	0.0621027
Simmons	0.0620647
Kaplan	0.0620294
Sanders	0.062022
Mustafa	0.0620151
Taylor	0.0620006
Hutchinson	0.0619519
Zagallo	0.0619469
Singson	0.0619011
Toledo	0.0618993
Muhammad	0.0618001
Samaranch	0.0617861
Piniella	0.0616569
Ganga	0.0615968
Goldstein	0.0615922
Wiggins	0.0615815
Helms	0.0615697
Bowers	0.0614747
Zhang	0.0613718
murphy	0.061354
BENSON	0.0613487
Reyes	0.0613421
Kelly	0.0613416
Prewitt	0.0612908
Steele	0.0612581
Hickman	0.0612394
Dowd	0.0611621
Mills	0.0611571
Peters	0.0611342
Levine	0.0611028
Olsen	0.061081
Jenkins	0.0610591
Showalter	0.0610373
Ebersol	0.0610153
turner	0.0609583
Estrada	0.0609195
McKeon	0.0608791
O'Neill	0.0608378
Hicks	0.0608137
Holmgren	0.060807
Berger	0.0608014
Hayes	0.0606861
Tsang	0.0605469
Thomas	0.0604142
Sinden	0.0603758
Bettman	0.0602893
Hyde	0.0602491
Schroeder	0.0602228
Hoffman	0.0602061
Kennedy	0.0602059
Johnson	0.0601197
Campo	0.0600215
Cunningham	0.059951
Alatas	0.059946
Blake	0.0599265
Epstein	0.0598911
Copeland	0.0597646
Fitzgerald	0.059764
James	0.0597287
Calipari	0.0597185
Rivera	0.0596871
Fischer	0.0596196
Hu	0.0595948
Lerner	0.059586
Lewis	0.0595698
Kinkel	0.0594915
Steinbrenner	0.059486
))
(Burnt (desc 1484.79) (sims
beryllium	0.0896349
Clockwork	0.0821922
thinning	0.0796197
"light brown"	0.0769385
toasty	0.0764163
"navy blue"	0.0753189
sherbet	0.0646701
"powder blue"	0.0632938
rebuilt	0.0632143
"dark blue"	0.0627313
"deep red"	0.0624271
Fubu	0.0619278
"nearly one million"	0.0601978
bazooka	0.0593304
"reddish brown"	0.0588465
neon	0.0580863
suction	0.057493
flannel	0.0569994
"female body"	0.056125
worn	0.0551776
lakeside	0.0551727
Pendleton	0.0551506
stethoscope	0.0547417
"talk of the town"	0.0547291
mastodon	0.0547186
aftermarket	0.0545833
"Chevrolet Monte Carlo"	0.0534144
Gimme	0.0532439
shag	0.0531547
fiberglass	0.0528884
"mechanical device"	0.0526158
mooring	0.0515131
polyester	0.0511849
"cinder block"	0.0511633
teal	0.0510892
winnowing	0.0507359
titanium	0.0503808
bringing	0.0496815
flamethrower	0.0496098
Pecos	0.0495806
"polka dot"	0.0495129
gunpowder	0.0493345
"charge card"	0.0489992
slinky	0.0483155
easterain	0.0480934
shank	0.0480444
westerain	0.0476047
shredders	0.047094
"another six"	0.0464566
"jelly bean"	0.0463781
"up to @@ million"	0.0463302
"old growth"	0.0462644
K-@	0.0459815
barnyard	0.0458264
grout	0.0457355
cadaver	0.0456417
crazies	0.0455306
panko	0.045366
vaudevillian	0.044809
subcompact	0.0444382
pointy	0.0441308
chipping	0.0440368
FTAA	0.043901
SPF	0.0437259
plaid	0.043619
kitschy	0.0433817
"passion fruit"	0.0432138
Skoda	0.0429562
staking	0.0428828
shutting	0.0427823
"Suva Reka"	0.0427787
two-point	0.0425719
"dark red"	0.0424946
"rubber band"	0.0424684
"Seven million"	0.0423813
filtering	0.0422361
legging	0.0421823
Aloha	0.041953
"Ulster Unionist"	0.0417315
Tram	0.0417179
"four key"	0.0416871
persimmon	0.0416593
forklift	0.0411901
SOS	0.0411505
rubbing	0.0409935
"square mile"	0.0409746
curvy	0.0407916
idling	0.0407731
pullover	0.0407515
Chattahoochee	0.0407435
Lycra	0.040686
haystack	0.0405908
"Far Eastern"	0.0404696
"Shiite Muslim"	0.0403559
"Three key"	0.0403547
LPG	0.040347
stripping	0.0402725
"Kosovar Albanian"	0.0402088
gimmicky	0.0401293
Davidian	0.040032
))
(burr (desc 4328.46) (sims
Danner	0.117737
Napolitano	0.108871
Doggett	0.105781
Weldon	0.100886
Goode	0.0978784
Moakley	0.0976755
Nadler	0.0955987
McInnis	0.0953825
COYNE	0.0943331
Delahunt	0.0920525
Capps	0.0886092
Canady	0.0882158
Metcalf	0.0881801
McHugh	0.0877693
Deutsch	0.0868983
Waxman	0.0866145
Meeks	0.0860795
Royce	0.0844409
Hobson	0.0842961
Northup	0.0833317
Pryce	0.0827019
granger	0.0817536
Klink	0.0814698
Portman	0.0812958
Menendez	0.0798966
Pickett	0.0794911
McNulty	0.0793072
Engel	0.0787024
Isakson	0.0782628
Chabot	0.0781854
Larson	0.077787
Schaffer	0.0774123
Bliley	0.0770116
Condit	0.075957
Pelosi	0.0759369
Goss	0.0757915
Dooley	0.0756192
Lipinski	0.0755599
PITTS	0.0753629
Markey	0.0745325
McIntyre	0.0730207
McKeon	0.0728676
Doyle	0.0726611
Latham	0.0711828
Cummings	0.0707175
Linder	0.0699357
Packard	0.0691731
McIntosh	0.066947
Callahan	0.0663979
brogue	0.0655703
Moran	0.0652984
Kohn	0.0649194
Thurman	0.064337
Chambliss	0.0635644
Leach	0.0629724
Phelps	0.0629168
Stearns	0.0628719
Hastings	0.0621092
Strickland	0.0620033
Houghton	0.061272
Neal	0.0609426
Watkins	0.0608907
mica	0.06027
Levin	0.060119
Kolbe	0.0601126
Gilman	0.060062
Dingell	0.0597785
Largent	0.0593926
SHUSTER	0.0592488
McCollum	0.0587964
Lowey	0.0584168
Rangel	0.0576741
Dixon	0.0575235
Crowley	0.0572477
Merlino	0.0571423
Rossotti	0.0570698
Meehan	0.0569478
Flockhart	0.0565036
thorn	0.056419
Barrett	0.0550047
Farr	0.0549994
Rogan	0.0545193
Gutierrez	0.0542893
nance	0.054219
Hiett	0.0534322
Emerson	0.0527884
pixie	0.0526281
Brady	0.0523491
Griffith	0.0521746
Beatle	0.0517966
Cochran	0.0517219
McCarthy	0.0517137
Armey	0.0514241
Peterson	0.0511713
Berman	0.0510107
Conyers	0.0503853
Kasich	0.0502317
Serrano	0.050041
Nikitin	0.0499809
Batouty	0.0497951
Quinn	0.0493518
Fabius	0.0492511
Velazquez	0.0488933
Garber	0.0484762
Romer	0.0484558
Bonilla	0.0484324
"woman's body"	0.0482627
Briscoe	0.048018
McCourt	0.0479357
Evans	0.0476911
Tauzin	0.0476503
Sawyer	0.0476398
Verney	0.0471723
"Peter Nicol"	0.0468097
Sanford	0.0467821
Houdini	0.046685
Wolfson	0.046379
fowler	0.0463614
Jefferson	0.0460425
Sherwood	0.0457645
Costello	0.0456677
lilt	0.0452121
Gooding	0.044684
Owens	0.0446365
Eastwood	0.0446123
Reyes	0.0445501
Hayes	0.0441859
Cline	0.0441601
capella	0.044156
Ricci	0.044078
Menuhin	0.0439761
Sherman	0.0439433
McDermott	0.0438156
flipper	0.0436268
Sweeney	0.0434871
Hagel	0.0432744
Groscost	0.0432436
Hatfield	0.0431854
Gritz	0.0428108
Kerr	0.0428092
Bernstein	0.0426848
sealant	0.0426667
Harkes	0.0426361
Antley	0.0425842
Arens	0.042573
Barnett	0.0425643
Galbraith	0.0423702
McDonnell	0.0423138
Gephardt	0.0421237
Kroll	0.0420499
Vogts	0.0420111
berm	0.0419792
Mullen	0.0419009
Najera	0.0418805
beautician	0.0418187
Barton	0.041815
Wagoner	0.041464
paraplegic	0.0414232
"Lech Walesa"	0.0414188
"booking agent"	0.0412355
Ruben	0.0411739
Lucas	0.0410452
Laudrup	0.0408652
Porter	0.0407786
Edelstein	0.0407076
Lindsey	0.0406479
Plante	0.0406375
Muir	0.0405958
"Lei Feng"	0.0405688
PML	0.0405637
Weiner	0.0405606
Mustafa	0.0405556
Mikhailov	0.0404363
Boyle	0.0404243
Hastert	0.0404009
Cunningham	0.0402851
Postel	0.0402662
Nolan	0.0402416
El-Amin	0.040177
Galvin	0.0401489
Rollins	0.0401181
Jenkins	0.0401074
))
(Burrell (desc 2892.52) (sims
"Kendall Gill"	0.148887
"Van Horn"	0.139328
Vidro	0.137513
"Keith Van Horn"	0.136483
Fullmer	0.131271
Rolen	0.129876
Palmeiro	0.124399
Helton	0.123019
Bautista	0.116719
Nevin	0.115267
Frye	0.114563
Biggio	0.10998
Segui	0.108743
Surhoff	0.107023
Dunston	0.106183
Velarde	0.105394
Holdsclaw	0.104432
Cabrera	0.104197
Lieberthal	0.103712
Abreu	0.103609
Caminiti	0.103532
Bordick	0.103414
Sexson	0.10225
Olerud	0.101779
Cirillo	0.101723
Ripken	0.101709
"Tom Lampkin"	0.10163
Lankford	0.10074
Konerko	0.0996015
McLemore	0.0991815
Sabonis	0.0985828
Buhner	0.0980233
Szczerbiak	0.0977948
Gilkey	0.0976217
Lofton	0.0971479
"Travis Lee"	0.0970074
Alicea	0.0967336
"Pat Burrell"	0.0966246
Ordonez	0.0963928
"Matt Franco"	0.0962953
Burks	0.0953962
Womack	0.0952505
Delgado	0.0949704
Glaus	0.0944393
Batista	0.0943055
Hollins	0.0936267
Lawton	0.0932724
"Michael Olowokandi"	0.0926371
Stinnett	0.092537
"J.T Snow"	0.0920906
Leyritz	0.0920829
"Preston Wilson"	0.0920665
Catalanotto	0.0916499
Alfonzo	0.0914276
Gwynn	0.0914129
Kukoc	0.0912775
"Kerry Kittles"	0.0911404
Bichette	0.0908078
"Eric Owens"	0.0906449
Castilla	0.0899265
"Mark Grace"	0.0898936
Ramirez	0.0897234
Karros	0.0894064
Hidalgo	0.0893062
Garciaparra	0.0892999
"Russ Johnson"	0.0891738
Cedeno	0.0889137
Murdock	0.0888049
Geiger	0.0887297
"Fred McGriff"	0.0884561
Kittles	0.0884464
Ledee	0.0884141
"Jay Bell"	0.0878725
McIlvaine	0.0877445
Boone	0.0876249
McGriff	0.0873215
Galarraga	0.0871928
MARBURY	0.0868839
"Jayson Williams"	0.0868374
Randa	0.0866735
"Bobby Higginson"	0.0864251
"Bill Spiers"	0.0864168
"Eddie Taubensee"	0.0860879
Daubach	0.08594
"Tino Martinez"	0.0859381
Cassell	0.0856862
Piazza	0.0851959
McHale	0.0849686
Zeile	0.0848506
"Paul Konerko"	0.0847714
"Rich Aurilia"	0.0847621
Meares	0.0847256
"Jim Thome"	0.0844
Fizer	0.0842648
"Cliff Floyd"	0.0841897
Meggett	0.0841321
Dellucci	0.0840939
Baugh	0.0840041
Leetch	0.0838457
"Ben Grieve"	0.0836092
"Kevin Young"	0.0834708
Tejada	0.0834238
Mabry	0.0832935
Alomar	0.0832843
Tatis	0.0832403
"SCOTT BURRELL"	0.0831919
"Jermaine Dye"	0.0823374
"Scott Spiezio"	0.0821773
Easley	0.08209
Kapler	0.0819483
Alou	0.0818801
Hornacek	0.0818557
Artest	0.0818131
Scalabrine	0.0817154
Beltran	0.0816813
Valentin	0.0816439
"Mike Lansing"	0.0815478
"Rafael Palmeiro"	0.0812059
"Mark Loretta"	0.0812045
"Jeff Bagwell"	0.0809797
"Gabe Kapler"	0.080706
Grissom	0.0805661
Burnitz	0.0803991
"Eric Karros"	0.0799895
Erstad	0.0799289
Hardaway	0.0798724
"Damian Miller"	0.0798208
"Rony Seikaly"	0.0796936
"Craig Biggio"	0.0795403
Bagwell	0.0792356
estes	0.079132
McCarty	0.0790873
Hollandsworth	0.0787834
Beltre	0.0787766
Stacy	0.0787344
Jamison	0.0784745
Sojo	0.0781013
Larkin	0.0780362
"Alex Rodriguez"	0.0779203
"J.D Drew"	0.0775695
Veras	0.0775659
"Mike Lieberthal"	0.0770499
Brogna	0.0769249
"Cristian Guzman"	0.0766632
"Warren Morris"	0.0763375
"Jeffrey Hammonds"	0.0762213
DeBerg	0.0761833
"Tom Goodwin"	0.0761294
Mateo	0.076121
"Jeff Kent"	0.0757354
Elster	0.0756979
"Derek Bell"	0.0755762
Saenz	0.0754844
"Darin Erstad"	0.0752534
Duchesne	0.0751721
"Mark Kotsay"	0.0751084
Thome	0.0750909
"David Segui"	0.0750419
Najera	0.0749888
"Jose Guillen"	0.0748831
"Jose Canseco"	0.0747854
Spencer	0.0747772
Ankiel	0.0745927
"Frank Thomas"	0.0745915
"Carlos Lee"	0.0745628
"Adam Kennedy"	0.0744501
Sosa	0.0742442
Detmer	0.074147
"Ray Lankford"	0.0740812
"Trung Canidate"	0.0740065
Glanville	0.0738547
"Geoff Jenkins"	0.0738456
Webber	0.0737051
Stephenson	0.0736944
Renteria	0.0736568
Baggio	0.0736404
"Rickey Henderson"	0.0735272
"Jason Kendall"	0.0735
Spiers	0.0734095
"Rob Ducey"	0.0733162
Ceballos	0.0733117
Garnett	0.0733105
"Jose Vidro"	0.073192
"Danny Bautista"	0.0731556
Wheatley	0.0729015
Henderson	0.0728958
"John Olerud"	0.0728502
"Manny Ramirez"	0.0727569
Griffey	0.0726681
Brosius	0.0725461
"Will Clark"	0.0725407
Longo	0.0725057
Calloway	0.0725051
"Jim Edmonds"	0.0724639
"Bill Mueller"	0.0724347
Jacobsen	0.0724245
Cora	0.0723168
"Rick Fox"	0.0722877
Alfonso	0.0722461
"Ron Gant"	0.0720605
))
(Burrito (desc 3874.01) (sims
enchilada	0.223741
quesadillas	0.192962
taco	0.176982
fajitas	0.158347
burgers	0.140099
burger	0.137169
Tamale	0.13541
"hot dog"	0.131716
sandwich	0.13011
pizza	0.125318
cheeseburger	0.119865
"french fries"	0.109308
drumstick	0.108827
kebab	0.106353
"chicken sandwich"	0.106174
pretzel	0.104929
Hamburger	0.104644
"Caesar salad"	0.0936368
bagel	0.0914905
salad	0.0892309
omelet	0.0883907
cutlet	0.087783
popcorn	0.086223
smoothie	0.0855551
nacho	0.0839539
Lasagna	0.0833909
"chicken wing"	0.0814749
sushi	0.0803402
waffle	0.0802627
sausage	0.0787879
pastrami	0.0782661
Chili	0.0780135
Margarita	0.0767367
focaccia	0.0764224
quiche	0.0756624
ravioli	0.0749395
bratwurst	0.074285
verde	0.0717414
soup	0.0687036
steak	0.0681818
muffin	0.0679957
crepe	0.0679456
pancake	0.067772
doughnut	0.0677657
"macaroni and cheese"	0.0674498
patty	0.0667436
"hot chocolate"	0.0661494
entree	0.0661008
birdbath	0.0645491
queso	0.0645275
noodle	0.0644033
scone	0.0636382
dumpling	0.0628567
ragout	0.062192
pie	0.0617899
snack	0.061515
milkshake	0.0604953
soda	0.0597121
"French toast"	0.059442
Casserole	0.0586992
"chicken salad"	0.0586637
"fortune cookie"	0.0584506
"ice cream"	0.0583063
"Big Mac"	0.0582954
cappuccino	0.0582337
"pumpkin pie"	0.0579897
pastry	0.0577214
donut	0.0572882
fritter	0.0572061
Souffle	0.0570849
meatloaf	0.0556047
"vegetable soup"	0.0555426
"loaf of bread"	0.0555039
marshmallow	0.0554023
dessert	0.0551
"health food"	0.0550288
veggie	0.054704
spaghetti	0.0536425
"scrambled egg"	0.053587
frankfurter	0.0535211
"candy bar"	0.053486
pasta	0.0533147
tapa	0.0529093
coleslaw	0.0529034
cupcake	0.0523282
cracker	0.0517185
biscuit	0.0516801
Twinkies	0.0507414
"soft drink"	0.0507385
"TV dinner"	0.050373
"iced tea"	0.0502509
seafood	0.0498167
broth	0.049805
"filet mignon"	0.0496933
Martini	0.0494457
paella	0.0494433
tofu	0.0492211
appetizer	0.0488629
tortellini	0.0488595
persimmon	0.0486437
"fruit salad"	0.0485113
flan	0.0479708
"gefilte fish"	0.0478365
Tex-Mex	0.0476076
popsicle	0.0473145
takeout	0.0471787
laxative	0.0471716
platter	0.0471563
Sirloin	0.047029
latte	0.046965
shortcake	0.0466774
macaroni	0.0466399
oatmeal	0.0465205
cookie	0.0464807
salsa	0.0464265
"chocolate cake"	0.0464246
meatball	0.04616
eater	0.0461577
risotto	0.045934
gumbo	0.0458508
"dried fruit"	0.0453146
tequila	0.0451308
TART	0.0447136
gruel	0.0446197
croissant	0.0445757
"goat cheese"	0.0443735
"meat loaf"	0.0441069
loaf	0.0440464
brownie	0.0439254
"chocolate mousse"	0.043893
terrine	0.043725
pickle	0.0437202
"dirty joke"	0.0435393
salami	0.0435092
Kool-Aid	0.0434871
cooker	0.0434747
mussel	0.0434403
repast	0.0433847
"rack of lamb"	0.0433841
slaw	0.0431978
caramel	0.0426046
"green salad"	0.04223
jerky	0.0419145
calamari	0.0418851
"ground beef"	0.0417469
fig	0.0417195
"potato salad"	0.0416058
sorbet	0.0414024
tortilla	0.0411485
Carpaccio	0.04103
"frozen yogurt"	0.0410099
franks	0.040903
supper	0.0407417
"spring roll"	0.0405841
yogurt	0.0404466
chitchat	0.0403045
"hard-boiled egg"	0.0402158
"M&AMP;M"	0.0401286
))
(burro (desc 1630.13) (sims
Camaro	0.0972895
donkey	0.0936357
oxen	0.0787814
llama	0.0771741
camel	0.0758741
Pony	0.0751837
"missionary work"	0.070728
geese	0.0699222
"brown bear"	0.0667403
ox	0.0665326
ibis	0.0663368
goose	0.0662594
motley	0.0655919
gallbladder	0.0647534
mule	0.0634433
pigeon	0.0625608
"snow leopard"	0.0597037
yak	0.057172
sloth	0.0560346
three-mile	0.0547876
"king salmon"	0.0540092
reindeer	0.0539907
steed	0.0533142
"Bengal tiger"	0.0528879
"black bear"	0.0514504
"Cary Stayner"	0.0508699
critters	0.0505776
Fabius	0.0504757
"Little Dog"	0.0503461
"milk cow"	0.0502799
rhinoceros	0.0498571
Macaque	0.0497352
Blackthorne	0.0492285
hare	0.0490086
leopard	0.0489722
armadillo	0.0489517
Ness	0.0484711
chariot	0.0484126
Baumhammers	0.0482927
hedgehog	0.0481815
"rainbow trout"	0.0480396
tonsil	0.0478703
looper	0.0475408
cheetah	0.0471964
Brazill	0.0471459
"brook trout"	0.0470625
thunderbolt	0.0463869
rooster	0.0455225
"brown trout"	0.0452902
bison	0.0452631
"farm animal"	0.0444375
rodent	0.0442218
"prairie dog"	0.0442109
Hightower	0.0439604
BSF	0.0439602
Condor	0.0439564
Mullins	0.0437254
alligator	0.0433972
Musa	0.0430119
koala	0.0427522
Turetzky	0.0427463
Carollo	0.0427211
"Maturino Resendiz"	0.042674
"Atlantic salmon"	0.0424847
snail	0.0422792
Enis	0.0422149
antelope	0.0420749
Pugh	0.0420227
egret	0.0416931
heron	0.0416571
Colburn	0.0412524
Malek	0.0410899
squirrel	0.0410727
"sea bird"	0.0408775
"ball field"	0.0408317
kangaroo	0.0406988
gelding	0.0405194
Kazhegeldin	0.0403173
gallstone	0.0401506
))
(Burroughs (desc 2627.92) (sims
Grisham	0.151268
Steinbeck	0.107964
Nabokov	0.102528
"Ernest Hemingway"	0.101401
Hess	0.0995712
Kerouac	0.0984076
"Jane Austen"	0.0936653
Plath	0.0924662
Hemingway	0.0903163
Kafka	0.0874539
Wilder	0.0863076
Puzo	0.0860644
Naipaul	0.0855954
Tilberis	0.0844133
"Victor Hugo"	0.0839533
Harr	0.0833666
Austen	0.0830409
Updike	0.0824087
Bingham	0.0821755
Crichton	0.0821427
Borges	0.0798836
Wolfe	0.0796187
Theroux	0.0785697
"J.D Salinger"	0.0775869
"John Grisham"	0.0775217
"Tom Wolfe"	0.0769771
Seuss	0.0761049
Mortimer	0.0757905
Salinger	0.0756764
HELLER	0.0754993
Sade	0.0752979
Godwin	0.0748765
Susann	0.0745314
"Stephen King"	0.0745234
Carre	0.0744963
Dubus	0.0744858
audubon	0.07404
McEwan	0.0733093
"George Orwell"	0.0731399
Chappell	0.0729417
Baum	0.0725614
Halberstam	0.0723358
Junger	0.0721225
Weiner	0.0718119
Vonnegut	0.0717288
Cooke	0.0714837
"Elmore Leonard"	0.0711926
Celestine	0.0711114
McCourt	0.0707172
Bonanno	0.0706879
Rowling	0.0701864
Stein	0.0697648
"Mark Twain"	0.069753
Sarazen	0.0696953
Welty	0.0694611
Dickens	0.0690069
Regan	0.0689953
"James Jones"	0.068918
amis	0.0687918
"John Irving"	0.0687866
"Edith Wharton"	0.068111
Onassis	0.0679801
Rushdie	0.0678704
O'Hair	0.0677949
Purdy	0.0676863
Presley	0.0672403
Pushkin	0.0670813
Cornwell	0.0669451
Tolstoy	0.0660767
Heaney	0.0656461
Proust	0.0653471
Saramago	0.0653211
Orwell	0.0652849
McMurtry	0.065129
"E.L Doctorow"	0.0647971
"Charles Dickens"	0.0646781
Gielgud	0.0646225
Balzac	0.064527
Alexie	0.0643432
Schell	0.0643135
Aris	0.0642062
Morrison	0.0641625
Binion	0.063372
Finney	0.0633283
Schaeffer	0.0630112
McCaw	0.0627733
Rivlin	0.0627213
Hubbard	0.0626733
Lurie	0.06254
Gilbert	0.062512
Nietzsche	0.0624511
Fuentes	0.0624428
Neff	0.0623631
Pollack	0.0622922
"Toni Morrison"	0.0621806
Remnick	0.0621351
"Modern Library"	0.0617708
Bellow	0.0617305
Kubrick	0.0614405
Thoreau	0.0612513
"Margaret Mitchell"	0.0610152
Schulz	0.0606981
Tuinei	0.0606864
Bech	0.0606596
Sobel	0.0605145
Mahoney	0.0605061
"Larry McMurtry"	0.0604428
"Raymond Chandler"	0.0600593
Kaczynski	0.0599656
Lennon	0.0597386
Atwood	0.0597004
Harbison	0.0596479
Powell	0.0595389
Spence	0.0595129
"Virginia Woolf"	0.0591999
Melville	0.0587474
Doyle	0.0585978
Gutman	0.0584952
Ruskin	0.0583845
Suppan	0.0581137
Hamill	0.0579361
Rideau	0.0577326
Kidder	0.0577112
Drury	0.0575984
Blackmun	0.0574209
Castaneda	0.0572964
Hammett	0.0572128
Bowe	0.0571974
Craxi	0.0571193
Trudeau	0.0569226
Kurosawa	0.0568573
Postel	0.0568223
Gorey	0.0568084
Frick	0.0566145
Bernstein	0.0565975
Caldwell	0.0564811
Posner	0.0563523
Hawley	0.0563198
potter	0.0561534
Sibley	0.0561246
Coelho	0.0559859
Kincaid	0.0559761
Faulkner	0.0558561
Burke	0.0558027
Bryson	0.0557646
Ambrose	0.055763
Lipstadt	0.0557451
Woolf	0.0556373
MacKay	0.055489
Yount	0.0554855
Beckett	0.0554835
Solzhenitsyn	0.0554261
McMillan	0.0553965
Greenberg	0.0552946
Yeats	0.0552446
Frazier	0.0550785
eddy	0.0550521
Eliot	0.055002
Mehta	0.0549786
Gachet	0.054955
Ogilvy	0.0549065
Klemperer	0.0548619
Larson	0.0548104
"Graham Greene"	0.0547037
Khrushchev	0.0543409
"Edmund Morris"	0.0543277
noone	0.0542775
"Michael Crichton"	0.0542537
Mehmet	0.0541955
Carlin	0.0540167
Adler	0.0537753
Rockefeller	0.0534428
Houghton	0.0532831
Borden	0.0532505
MALICK	0.0532402
Sayles	0.0532301
Rowe	0.0528763
Mao	0.0525975
Nasrin	0.0525791
LeBlanc	0.052512
Gleason	0.0524599
Hirsch	0.0524512
McPhee	0.0524162
Higgins	0.0523542
Spenser	0.0522937
burrows	0.0522889
McCartney	0.0522648
Hartley	0.0522199
Hatfield	0.0522099
"F. Scott Fitzgerald"	0.0521889
Harrigan	0.0521825
Epstein	0.0519097
Eameses	0.0518801
Weinstein	0.0518541
Jennings	0.0515364
Ellison	0.0515113
Cobain	0.0514881
Evans	0.0514702
Sharma	0.0514432
Draper	0.0514409
))
(burrow (desc 2027.05) (sims
droppings	0.0889135
"bomb shelter"	0.0818884
infestation	0.0617805
hibernation	0.0597508
"camp site"	0.0588163
"hiding place"	0.0584325
cavern	0.0581316
dormancy	0.0559652
Fink	0.0559305
"gas line"	0.0552415
"bag of tricks"	0.054348
cellar	0.0509447
"bankruptcy protection"	0.0485819
feces	0.0482138
womb	0.0478533
cistern	0.047493
polity	0.0455044
crawling	0.0444474
"storage room"	0.044102
"man's body"	0.0438064
Seawater	0.042617
chaise	0.0423437
latrine	0.0422723
"car park"	0.0414895
rhizome	0.0405944
"drainage system"	0.0405455
"sewer system"	0.040542
"toilet seat"	0.0403771
"sewer line"	0.0402593
))
(burrows (desc 1394.6) (sims
COYNE	0.118172
Jaffe	0.115987
Weil	0.106909
Barad	0.105142
Mucha	0.09887
Mckee	0.0952781
Simons	0.0949811
Midler	0.094265
Coen	0.0942631
Hanley	0.0941576
Hahn	0.0940395
Zuckerman	0.0931825
Sobel	0.092833
Fiorina	0.0928228
Nickerson	0.0919728
Duffy	0.0909577
Hickman	0.0902915
Durant	0.0900447
"Matthew Broderick"	0.0892276
Henley	0.0888449
Wolff	0.0883614
Tomlin	0.087861
Krugman	0.0878221
Meissner	0.087215
Moser	0.0867859
Vogel	0.0863163
Duvall	0.085982
Kahn	0.0856358
Sheedy	0.0847714
Grossman	0.084332
Copeland	0.0842865
Rowley	0.0836863
Barlow	0.0834708
Lockwood	0.0832414
Falco	0.0831995
McCormack	0.0828303
Meyers	0.0826709
McIntyre	0.0822755
"De la Cruz"	0.0821882
Lowry	0.0816591
Redgrave	0.0808067
Janssen	0.0807803
McPherson	0.0801897
Finkel	0.0799555
D'Alessandro	0.0794335
Rubenstein	0.0794275
fuller	0.0792652
Lerner	0.079232
DiCicco	0.0791484
TALBOT	0.0790993
Rosenthal	0.0786113
Grimes	0.0785948
Greenwald	0.0783147
Deneuve	0.0777731
Pollack	0.0776598
Aurelio	0.0774578
"Paul Krugman"	0.0771755
Rivlin	0.0771448
Talebi	0.0770233
"Tom Johnson"	0.0767378
Mullen	0.0765639
Pearce	0.0763601
McLachlan	0.0762144
Mei	0.0757593
Hewitt	0.0754307
Kingsley	0.0753667
Rutherford	0.0748423
Bergeron	0.0745527
Haynes	0.0745506
Pierson	0.0744659
Baum	0.0743558
Fink	0.0739697
Setzer	0.0734339
Daniels	0.0727364
Mahoney	0.0727217
Upshaw	0.0727216
Dion	0.0722497
Rowe	0.072201
Pape	0.0721837
Reiter	0.0721125
Shulman	0.0721043
Weinberg	0.072069
Huffington	0.0717606
Gaffney	0.0716726
Shapiro	0.0716337
Kusama	0.0715722
Waxman	0.0715128
Goldin	0.0714598
Manheim	0.0714301
Iglesias	0.0713048
McGregor	0.0711215
craven	0.0709133
O'Connell	0.0707809
Ashrawi	0.0706483
Brazile	0.0706038
McGuire	0.0701092
Chenoweth	0.0698651
Hanna	0.0698613
Doherty	0.069392
Reiner	0.0693333
Orton	0.0693256
Davidson	0.0689346
Segal	0.068777
Slatkin	0.0687214
Brenner	0.0686382
Friedman	0.0686213
Bronson	0.0684762
Quintero	0.0682539
Henning	0.0681859
Cowan	0.0680825
Tuttle	0.0678385
Moran	0.0677589
Franz	0.0677443
Betts	0.0677364
Wasserstein	0.0677339
Kurth	0.0674676
Hybl	0.0671519
Healy	0.0669243
Brownlee	0.0668848
Markovic	0.0667766
Grunwald	0.066694
Haines	0.0666557
Northup	0.0665658
Hamlin	0.0665049
Jeffers	0.0664532
Macdonald	0.0664441
O'Sullivan	0.0663532
Weiner	0.0663019
Gullikson	0.0662086
Ingram	0.066091
Morse	0.0660532
Cleary	0.0659939
Lipstadt	0.0659635
Weisman	0.0658696
Pfeiffer	0.0658494
bock	0.0654654
Boyle	0.0654354
Billick	0.0653025
Nilsson	0.0652649
Britton	0.0652438
Pascal	0.0651619
McNamara	0.065043
Menchu	0.0649198
Maynard	0.0649087
Zwick	0.0648307
Fay	0.0647446
Gilligan	0.0646888
"David Jones"	0.0646462
Wolfe	0.0645629
Flockhart	0.064479
Leigh	0.064466
Ivey	0.0644079
"McCaughey Ross"	0.0642061
Rupert	0.06419
Rosenberg	0.063755
Morley	0.0637438
Behr	0.0636516
Kirkpatrick	0.0635089
Patterson	0.0635085
Berman	0.0634614
Stoudamire	0.0632873
Dempsey	0.0630786
Garber	0.0629806
Raitt	0.0628737
Sampson	0.0628265
Sorensen	0.0626428
Barrett	0.0626179
Edson	0.062612
"Donna Shalala"	0.0625834
Oliveira	0.0624493
Garvey	0.0623701
Seligman	0.0623077
Herrera	0.0622922
Mann	0.0621156
Silverstein	0.0621008
LeFave	0.0618956
Ding	0.0618025
Levin	0.0616239
Currier	0.0615412
Taymor	0.0615208
Couric	0.0614361
Pearson	0.061342
Newhouse	0.0613157
Butterworth	0.0613046
Cummings	0.0610839
Rollins	0.0610107
Donohue	0.0609515
Cline	0.0608504
Larson	0.0607069
Arron	0.0605425
Greco	0.0604194
Siegel	0.0603143
Gillespie	0.0602439
Phelps	0.0600183
Lange	0.0599886
Levine	0.0599046
Holmes	0.0598042
Briscoe	0.0597088
Drexler	0.0595912
Molinari	0.0595571
))
(Bursa (desc 2123.81) (sims
Izmit	0.153787
Antalya	0.1411
"Chiang Rai"	0.124951
Bamiyan	0.121562
"Surat Thani"	0.120495
Herat	0.116199
Vojvodina	0.111375
Najaf	0.108825
Tete	0.108351
Isfahan	0.107564
Hakkari	0.104138
Zamboanga	0.103869
Cebu	0.102735
Izmir	0.0985282
Bushehr	0.0976515
Cotabato	0.0969953
Basra	0.0943465
Aswan	0.0936587
Murmansk	0.0935279
Adana	0.0927322
Katanga	0.0911539
Krasnoyarsk	0.0911291
Tigray	0.0905712
Ashkelon	0.0901042
Phuket	0.089655
Basilan	0.0881766
"CHIANG MAI"	0.0860632
NIS	0.0847177
Diyarbakir	0.0844199
Antioquia	0.0839164
Guayaquil	0.0838871
Aden	0.0835467
Hillsboro	0.0833573
Tunceli	0.0833554
Bingol	0.0828468
Cochabamba	0.0828208
Yogyakarta	0.0825314
Huambo	0.0819476
"La Paz"	0.0816215
Novosibirsk	0.0815606
Istanbul	0.0808959
Saida	0.0805365
Palawan	0.0799866
Balochistan	0.079917
Cacak	0.0797178
BIE	0.0794009
Shiraz	0.079163
"North Maluku"	0.0783101
Almaty	0.0766113
Bulawayo	0.0759769
Pampanga	0.0759197
Benguela	0.0755604
Davao	0.0752977
Krakow	0.0748719
Gdansk	0.0746511
Sofala	0.0742291
Mpumalanga	0.0736181
Kragujevac	0.0734249
"San Pedro Sula"	0.0733961
Qom	0.0732169
Posoltega	0.0730221
Puebla	0.0728924
Darien	0.0722696
Khost	0.0719967
Sirnak	0.0704178
Chisinau	0.0703494
Kwazulu-Natal	0.0698216
"San Sebastian"	0.0696607
Punjab	0.0694458
Manado	0.0689053
Malaga	0.068828
Baalbek	0.0686552
Riau	0.0686543
"Mount Lebanon"	0.0684605
Cabinda	0.0681681
Rafah	0.067542
"Port Elizabeth"	0.0668714
"West Java"	0.0667007
Guantanamo	0.0665444
Hyderabad	0.0662905
Salerno	0.066164
Ur	0.0659373
Nyanza	0.0659197
Sidon	0.0658676
Mbarara	0.0657891
"East Nusa Tenggara"	0.0655915
Madras	0.0653461
Halle	0.0652792
Maguindanao	0.0652643
Limon	0.0648084
"Siem Reap"	0.0644296
Bengkulu	0.0640262
Jaipur	0.0634305
Vilnius	0.0631401
Juba	0.0630391
Cali	0.0628788
Leskovac	0.062565
Xuzhou	0.0624875
Beersheba	0.0622949
Plata	0.0620818
Sulu	0.0619501
Asuncion	0.0618333
Aachen	0.0617812
Pailin	0.0615251
Urosevac	0.0613907
Bukavu	0.0613838
Liege	0.0611894
"East Java"	0.0611192
Christchurch	0.0610007
Tallinn	0.0607889
Kisumu	0.0607591
Durres	0.0606105
Norte	0.0604427
Sindh	0.0596108
Batticaloa	0.0596045
Gudermes	0.0595319
Caprivi	0.05949
Catania	0.0593777
Wenzhou	0.0593334
Medan	0.0592485
Shali	0.0586731
Urus-Martan	0.0584954
PALERMO	0.0584443
Bandung	0.0584284
Uvira	0.0583069
Vitoria	0.058301
Rawalpindi	0.0581366
Astana	0.0581199
Osaka	0.0578725
Larnaca	0.0578547
Putumayo	0.057716
Baoding	0.0576861
Cordoba	0.0575013
Kismayu	0.0573074
"Banja Luka"	0.0572271
Bataan	0.0572128
Minsk	0.0571448
Tijuana	0.057131
Brcko	0.0571034
Merida	0.0570841
Yerevan	0.0570559
Ndola	0.0569919
Kano	0.0569736
BASEL	0.0568764
Ismailia	0.0566709
Eindhoven	0.0565874
Kandahar	0.0565523
"Ciudad Juarez"	0.0564649
Nablus	0.0563339
Xian	0.0562889
Lubumbashi	0.0558541
Jamestown	0.0558165
Bari	0.0556518
MAPUTO	0.0556127
Bologna	0.0554977
"East Kalimantan"	0.0554735
Entebbe	0.055462
Limassol	0.0554012
Gulu	0.0553874
Cyberjaya	0.0551743
Kurdistan	0.0550397
Lucknow	0.0549168
Baotou	0.0548148
Nago	0.0547623
Lhokseumawe	0.054713
Khabarovsk	0.0546931
Guadalajara	0.0542115
Dundalk	0.054191
Dunedin	0.0540213
"The Hague"	0.053896
Charleroi	0.053893
PATNA	0.0535651
Jilin	0.0534644
Vladivostok	0.0534438
Beira	0.0532845
Sevastopol	0.0532291
Jalalabad	0.0529573
Utrecht	0.0528397
Naples	0.0526921
BRIGHTON	0.0526768
Duesseldorf	0.0526731
Manitoba	0.0524611
Reykjavik	0.0523253
Monterrey	0.0522539
Casas	0.0521352
Vladikavkaz	0.0520847
Sakhalin	0.0520684
Mostar	0.0520263
Inchon	0.0519987
Salzburg	0.0519654
Irbil	0.0519006
Karachi	0.051871
Cartagena	0.0517313
"San Salvador"	0.0517119
Yokohama	0.0516959
Zhangzhou	0.0514958
Tuscaloosa	0.0513963
Taloqan	0.0513016
Bremen	0.0512473
Samara	0.05117
))
(burst (desc 44709.7) (sims
spurt	0.144162
outburst	0.119846
flash	0.115864
surge	0.114064
flurry	0.109429
eruption	0.0985244
explosion	0.097568
outpouring	0.0967823
blast	0.0955461
wave	0.0936035
torrent	0.0902972
barrage	0.0897102
roar	0.0863223
blaze	0.0778402
upsurge	0.0767711
spark	0.0764856
"tidal wave"	0.0756169
resurgence	0.0754082
volley	0.075238
jolt	0.0742455
dose	0.073432
frenzy	0.0731573
fusillade	0.0726467
shower	0.0722525
pulse	0.0703707
downpour	0.0702037
display	0.0701252
deluge	0.0700522
spike	0.0698781
rush	0.0698474
"standing ovation"	0.069571
spate	0.0671508
glow	0.0669033
groundswell	0.0667812
glare	0.0662627
gust	0.0661341
acceleration	0.0649351
sound	0.0645515
storm	0.0641836
flood	0.0640878
flare	0.06391
shift	0.0638539
sense	0.0637221
howl	0.0635752
intensity	0.0635107
boom	0.062653
lack	0.062491
combination	0.0624054
outbreak	0.0618468
cheer	0.0617541
bit	0.0617317
crescendo	0.0611745
kind	0.0611595
plume	0.0610403
rumble	0.060835
applause	0.0608088
plunge	0.0607314
laughter	0.0601359
noise	0.0601271
onslaught	0.0601252
"New Wave"	0.0601106
moment	0.05958
sequence	0.0592108
cloud	0.0589812
hint	0.0588737
flare-up	0.0588009
turnaround	0.0583879
chant	0.0583821
gunfire	0.0582946
whirlwind	0.0582548
shriek	0.0580544
"power failure"	0.0580209
ovation	0.0577443
slowdown	0.0575531
"gamma ray"	0.0572505
swirl	0.0565933
tremor	0.0565713
mix	0.0565307
avalanche	0.0565293
collapse	0.0564335
shot	0.0564282
uptick	0.0564037
fireball	0.0560095
reversal	0.0559593
Thunderstorm	0.0559546
spree	0.0555968
scramble	0.0551529
blizzard	0.0549516
squall	0.0548478
rash	0.0546396
spasm	0.0543603
plenty	0.0542919
gunshot	0.0542011
beep	0.0540968
buzz	0.0540801
stream	0.0540169
dip	0.0538891
amount	0.0537853
rain	0.0537153
expression	0.0536727
punch	0.0536227
cacophony	0.0534151
snowstorm	0.0534057
upturn	0.0532013
mixture	0.0531394
slide	0.0531277
leap	0.0530063
spell	0.0529291
pattern	0.0528199
light	0.0528109
glimmer	0.0526202
puff	0.0525946
"flash flood"	0.0524341
loss	0.0524293
Ripple	0.0524133
orgy	0.052358
blitz	0.0522759
comeback	0.0522396
tornado	0.0518607
chorus	0.0516654
salvo	0.0516322
firework	0.0515417
murmur	0.0512018
gesture	0.0509069
disruption	0.0508691
rebound	0.0507786
hailstorm	0.0505529
lot	0.0505144
boo	0.0503898
breakdown	0.0501911
slump	0.0500384
emergence	0.0500064
beam	0.0499822
landslide	0.0499019
bout	0.049846
Collision	0.049796
decrease	0.0496631
rainstorm	0.0495567
sort	0.0495378
radiation	0.0495286
wind	0.0495056
blend	0.0494425
feeling	0.0493798
counterattack	0.0493079
cycle	0.0492975
absence	0.0492534
flame	0.0492385
deficit	0.0491446
confluence	0.0490729
celebration	0.0489217
phenomenon	0.0487798
mudslide	0.0486301
fury	0.048608
downturn	0.0485687
vibration	0.0484506
energy	0.0484396
backlash	0.0483961
influx	0.0483478
shelling	0.0482837
leak	0.0482236
stoppage	0.0482072
undercurrent	0.0481787
"heat wave"	0.0481412
reaction	0.0481066
voice	0.0480585
thrill	0.0480406
sandstorm	0.0478759
interruption	0.0478281
anger	0.04777
flow	0.047556
swing	0.0475237
incident	0.0474714
demonstration	0.0474421
effect	0.0474356
smell	0.0473964
clash	0.047389
scare	0.0473668
recovery	0.0473527
indication	0.0473436
bolt	0.0473295
crack	0.047295
blackout	0.0472858
tide	0.0472088
cry	0.0471749
relapse	0.0471673
riot	0.0471592
impact	0.0471031
smile	0.0470144
excitement	0.0470133
blowout	0.0469919
occurrence	0.0469544
heat	0.0469227
tirade	0.0464008
earthquake	0.0463426
sell-off	0.0463022
contraction	0.0462682
tone	0.0461661
type	0.0461294
dash	0.0460686
fluctuation	0.0460637
))
(bursting (desc 1351.67) (sims
"short circuit"	0.0620606
UV	0.0617853
re-opening	0.0555833
near-collapse	0.0542329
detonation	0.0539231
sluggishness	0.0536528
"six tons"	0.0522911
"About @@,@@@ hectares"	0.0507449
"first third"	0.050169
"Softbank Corp."	0.0500991
militarization	0.0499562
overheating	0.0493352
using	0.0486863
vandalization	0.0482653
slackening	0.0479812
carelessness	0.0478736
"China Youth Development Foundation"	0.0473721
"crazy quilt"	0.046266
mushrooming	0.0458674
"more than @@,@@@ hectares"	0.0457613
"Overseas Economic Cooperation Fund"	0.045613
vibration	0.0454287
"nook and cranny"	0.0453209
shaping	0.0450375
blockage	0.0449048
"chain reaction"	0.0439984
makings	0.0439155
retooling	0.0438725
froth	0.0435401
placing	0.0435147
firecracker	0.0433186
"caustic soda"	0.0431708
safest	0.0431417
ignition	0.0428734
"Hiroyasu Shimizu"	0.0427692
denouement	0.0424577
shipload	0.0421584
reactivation	0.0416837
unraveling	0.0413294
exigency	0.0412953
agglomeration	0.0411501
"Rika Hiraki"	0.040242
harnessing	0.0401152
))
(Burt (desc 1120.75) (sims
Lehane	0.116719
Sensenbrenner	0.0933141
GAGE	0.086428
Alioto	0.0852698
Chadwick	0.0828834
Rosenblatt	0.0820736
Popovich	0.0820048
Finkel	0.081514
Murkowski	0.0814002
Bronfman	0.0812022
Lockwood	0.0809763
"Dee Dee"	0.080664
Sato	0.0806371
Hamlin	0.080309
Hauser	0.0794253
Geiger	0.0777775
LaPierre	0.077492
Feuer	0.0771573
Whitsitt	0.0770693
Bettman	0.0759226
Zucker	0.0758999
decker	0.0750347
Holley	0.0748191
Spano	0.0742981
Engel	0.074062
"administration official"	0.0738802
Felton	0.0736853
Rong	0.0731989
Fech	0.0730136
Rubenstein	0.0725819
Lowry	0.0725058
Cui	0.0721667
Grasso	0.0715843
Nadler	0.0715629
Inhofe	0.0712061
Ebersol	0.0711478
Ruehe	0.0711012
Ackerman	0.0709854
Advani	0.0708159
Auriemma	0.0707404
Monson	0.0698546
Seligman	0.0695315
Aliotti	0.0690425
Naumann	0.0689705
Edelman	0.0687705
Kessler	0.0680641
Kornberg	0.0680396
Goldin	0.0680064
beamer	0.0678813
Ebbers	0.0677422
Moakley	0.067704
Wenger	0.0676771
Molinari	0.0675935
Koskinen	0.0673064
Wolfson	0.0672305
Morgenthau	0.0671236
Biden	0.067062
Hawthorn	0.066754
BORAS	0.0665954
Beckwith	0.0664443
Donohue	0.0664226
Sherrill	0.0663001
Vance	0.0662662
Weldon	0.0657579
Gorter	0.0657435
Schuerholz	0.0656208
Carollo	0.0654991
Breuer	0.0652223
Caddell	0.0651202
Insulza	0.0650029
Valenti	0.064985
Rove	0.0648039
McCurry	0.0646164
Garcetti	0.0645993
Burleigh	0.0645464
Atwater	0.0643109
Bizimungu	0.0643067
Pollack	0.0642696
Piot	0.0642404
Carnahan	0.0642088
Sheng	0.0641808
Kerrigan	0.0640629
Satcher	0.0640425
Wexler	0.0640313
Henning	0.0639637
Troussier	0.0639177
Rossotti	0.0634465
Lockyer	0.0633701
"Lomas Brown"	0.0632464
Cortines	0.0632411
Hirschbeck	0.0632176
Hybl	0.0631582
Nasser	0.0631291
Hargrove	0.0630281
Bubb	0.0629265
Menchu	0.0629074
Coffey	0.0627209
Delahunt	0.0627175
Dunleavy	0.06268
Colangelo	0.0625329
Canady	0.0624258
Reinsdorf	0.0624245
Pitney	0.0623112
Portillo	0.0623038
Sykes	0.0622077
Donahue	0.0621062
Kato	0.0620435
Farber	0.0618921
Monahan	0.0618649
Waxman	0.0617813
Lowery	0.061678
Fieger	0.0616338
"Consumer Product Safety Commission"	0.0614331
Guthridge	0.061349
Kissinger	0.0613027
Conroy	0.0612393
Paxon	0.0612147
Polynice	0.0611474
Devine	0.0611377
Brenner	0.0610761
Aventajado	0.0609666
Kuhn	0.0609611
Okada	0.0608661
Brownback	0.0606741
"Joe Lockhart"	0.0605283
Gullikson	0.0604745
Lacroix	0.0604493
Cassell	0.0600638
"La Russa"	0.0599482
Leedham	0.0599363
Bustamante	0.0595527
Rothenberg	0.0595349
Reinhardt	0.0594721
Zogby	0.0594502
Cliburn	0.0593779
Schmalensee	0.0593233
Jarrell	0.0592719
Zadornov	0.059188
Plante	0.0590454
Storin	0.0589999
Hakim	0.0589425
Ditka	0.0589034
silber	0.058899
Bergeron	0.0588897
Ainge	0.0584615
Constantine	0.0584418
Eubanks	0.058409
McInnis	0.058396
Babcock	0.0583799
Armstead	0.0582331
Tellem	0.0581965
Sheehan	0.0581735
Hess	0.0581313
Meissner	0.0581261
Sapp	0.0580672
Godfrey	0.0580375
Tomey	0.057883
Brandi	0.0578059
McDonough	0.0576302
McNulty	0.057599
Boles	0.0575661
Schoenfeld	0.0575478
Padilla	0.0575127
JOYNER	0.0574265
Cummins	0.0574018
Fleischer	0.0573415
Braswell	0.0573282
Redford	0.0571963
Hecht	0.0571701
McGuinness	0.0571163
Poole	0.0569825
Singson	0.0569642
Briscoe	0.0569561
Jobe	0.0569109
Stoudamire	0.0569052
McDougals	0.0568622
Zhirinovsky	0.0567519
Ginsburg	0.0567368
Ftorek	0.0566838
Borbon	0.056476
Lange	0.0564238
Siazon	0.0564028
Cleary	0.0563926
Allard	0.0562014
Connor	0.0561356
McNabb	0.0561297
Wasserman	0.056114
Sorensen	0.056087
Detmer	0.0560115
Schultz	0.0558761
Neff	0.0558639
Goossen	0.0558134
Echols	0.0556243
Michaels	0.0555506
Evernham	0.0554961
Breyer	0.0553596
Moonves	0.055355
Lindland	0.0553125
Aguirre	0.0552345
Levinson	0.055079
))
("Burt Bacharach" (desc 1235.36) (sims
"Tom Waits"	0.158194
"George Gershwin"	0.123824
"Woody Guthrie"	0.108867
klezmer	0.100576
"Willie Nelson"	0.0981378
"Lou Reed"	0.0890514
"Duke Ellington"	0.0885545
Zydeco	0.0859044
"Paul Simon"	0.0857941
"Phil Collins"	0.0845386
mariachi	0.0831031
Hammerstein	0.0820955
"Randy Newman"	0.0769448
Ellington	0.0759377
"Bonnie Raitt"	0.0725667
"David Bowie"	0.072434
"Frank Wildhorn"	0.0719236
"Ray Charles"	0.0718324
"Eric Clapton"	0.0717497
"Philip Glass"	0.0715495
"Andre Previn"	0.0710951
uptempo	0.0709743
"Tin Pan Alley"	0.0706853
Reggae	0.0701429
"Andrew Lloyd Webber"	0.0688586
"Elvis Costello"	0.0688304
Marley	0.0679558
Aerosmith	0.067484
"Marvin Gaye"	0.0664403
"Jimi Hendrix"	0.0654872
Buffett	0.0637829
"Sheryl Crow"	0.0633994
SKA	0.0627495
"Beach Boys"	0.0621249
"Wynton Marsalis"	0.0620503
"Elton John"	0.0613938
"John Cage"	0.0603065
"John Williams"	0.0589115
Gershwin	0.0577012
Bowles	0.0575645
bluegrass	0.0570232
Chorale	0.056986
Hootie	0.0569134
"Cole Porter"	0.0569053
"R&AMP;B"	0.0567948
calypso	0.0559503
Schubert	0.0556159
"brass band"	0.0549495
"Stephen Sondheim"	0.0547392
Motown	0.0546387
"Grateful Dead"	0.0546225
"Leonard Bernstein"	0.0539793
polka	0.0536755
"Quincy Jones"	0.0535843
Wildhorn	0.053475
"big band"	0.0530015
"Beastie Boys"	0.0529535
"Van Halen"	0.0527747
Eurythmics	0.0525007
Joplin	0.0511236
oldies	0.0509482
Copland	0.0504775
Guthrie	0.050333
"Hank Williams"	0.0501335
"Lincoln Center Theater"	0.0498943
bebop	0.0498597
Monteverdi	0.0495775
"David Byrne"	0.0495433
"Jimmy Buffett"	0.0495064
Cajun	0.0490128
Puzo	0.047568
"Lethal Weapon @"	0.0468889
Monkees	0.046752
Byers	0.0460752
"Twilight Zone"	0.0458725
"George Jones"	0.0457678
one-minute	0.0457064
zeppelin	0.0456297
"Neil Young"	0.0449737
Hendrix	0.0448229
two-minute	0.0446506
"Billy Joel"	0.0446168
Britten	0.0443866
REM	0.0443819
Rodgers	0.0443515
Barbour	0.0441879
lyricist	0.0441665
"Irving Berlin"	0.0438368
"high fidelity"	0.0438209
"R Block"	0.0437815
rhythm-and-blues	0.0437304
"Robert Johnson"	0.0436244
samba	0.0434384
"Carly Simon"	0.043035
"Bob Marley"	0.0419925
Schumann	0.0417009
techno	0.0414879
bagpipe	0.0409549
"old country"	0.0408205
kitschy	0.0408132
bluesy	0.0407211
"Brady Bunch"	0.0405455
"B.B King"	0.0401525
"Miles Davis"	0.0401
Ravel	0.0400054
))
("Burt Lancaster" (desc 1733.07) (sims
"Gregory Peck"	0.245086
"Humphrey Bogart"	0.240329
"Spencer Tracy"	0.215601
"Bette Davis"	0.191587
"Cary Grant"	0.168685
"Lana Turner"	0.148882
"Greta Garbo"	0.148754
"Audrey Hepburn"	0.142549
"Gary Cooper"	0.130377
"James Earl Jones"	0.127348
"John Wayne"	0.123979
"Henry Fonda"	0.123473
"Ava Gardner"	0.122332
"Lauren Bacall"	0.119814
"Sammy Davis Jr."	0.118596
"Marlon Brando"	0.116844
"Richard Burton"	0.110492
"Grace Kelly"	0.108835
"James Stewart"	0.106893
"Sidney Poitier"	0.103824
"Vivien Leigh"	0.102479
"James Cagney"	0.101312
"Tom Selleck"	0.100648
"Kirk Douglas"	0.100129
"Jamie Foxx"	0.0976987
"Dean Martin"	0.0951969
"Marilyn Monroe"	0.0949939
"Ian Holm"	0.0922354
"Clark Gable"	0.0908206
"Ethan Hawke"	0.0891234
"Gene Hackman"	0.0876718
"Joan Crawford"	0.0873312
"AL PACINO"	0.0845604
"David Arquette"	0.0841531
"Carol Burnett"	0.0831822
"Richard Gere"	0.0821417
"Bing Crosby"	0.0811792
"Sally Field"	0.0793797
"Alicia Silverstone"	0.0788231
"Robert Redford"	0.0786351
Braugher	0.0780412
Cleese	0.0778398
"James Dean"	0.0777454
"Harvey Keitel"	0.0772478
"Wesley Snipes"	0.0771586
"Jimmy Stewart"	0.0762159
"Uma Thurman"	0.076071
"Martin Lawrence"	0.0759566
"Jessica Lange"	0.0746177
"Elizabeth Taylor"	0.0741651
"Nicolas Cage"	0.0730132
"Dan Aykroyd"	0.0726388
"James Van Der Beek"	0.0725469
"Frank Sinatra"	0.0721955
"Groucho Marx"	0.0719707
"Katharine Hepburn"	0.0719451
"Kevin Bacon"	0.0719103
"Jeremy Irons"	0.0713239
"Ralph Fiennes"	0.07105
"Robert DeNiro"	0.070628
"Jerry Lewis"	0.0701474
"Jodie Foster"	0.0701136
"Nigel Hawthorne"	0.0698255
"Sigourney Weaver"	0.0695824
"Julie Andrews"	0.0691894
"Orson Welles"	0.069069
"Keanu Reeves"	0.0689106
Costner	0.0688964
"Val Kilmer"	0.0687553
"Kim Basinger"	0.0684133
"Christopher Reeve"	0.0684056
"Bob Hope"	0.0682552
"Edward Furlong"	0.0679726
"Pierce Brosnan"	0.0674914
"Kevin Costner"	0.0671788
"Rob Lowe"	0.0670452
"William Hurt"	0.0669678
"Robert de Niro"	0.0663222
"Fred Astaire"	0.0662555
"Chow Yun-Fat"	0.0661881
"Kirsten Dunst"	0.0657312
"Alfre Woodard"	0.0657232
"Vince Vaughn"	0.0655946
"Judy Garland"	0.0655226
"Tony Bennett"	0.0654574
"Jane Fonda"	0.064923
"Edward Norton"	0.0648554
"Errol Flynn"	0.0645193
"Liza Minnelli"	0.0642679
"Lucille Ball"	0.0641847
"Tim Robbins"	0.0638567
"Rat Pack"	0.0636985
"Holly Hunter"	0.0635428
"Richard Dreyfuss"	0.0630028
"Jason Alexander"	0.062868
"Joseph Fiennes"	0.0626989
"Kate Winslet"	0.0625486
"Joan Allen"	0.0623951
"Brooke Shields"	0.0623451
"Brad Pitt"	0.0623021
"Steve McQueen"	0.0619683
"Robert Downey Jr."	0.0619164
"Shirley MacLaine"	0.0618135
"Jon Voight"	0.061704
"Matthew Broderick"	0.061619
"Stanley Tucci"	0.0615077
"Clint Eastwood"	0.0614459
"Ally Sheedy"	0.0613463
"Albert Brooks"	0.0611953
"Burt Reynolds"	0.0610859
"Dame Judi Dench"	0.0607654
"John Leguizamo"	0.0600904
"Chris Klein"	0.0600661
"Matthew McConaughey"	0.0597378
"Leelee Sobieski"	0.059522
"Demi Moore"	0.0591713
"Johnny Depp"	0.0590567
"Morgan Freeman"	0.0589389
"Janet McTeer"	0.0588139
"Mae West"	0.0587334
"James Woods"	0.058699
"Norm MacDonald"	0.0584014
"Stephen Rea"	0.0582797
"Mark Wahlberg"	0.0582254
"Emily Watson"	0.0580226
"Nathan Lane"	0.0580059
"Anne Bancroft"	0.0579466
"John Malkovich"	0.0578993
"Dustin Hoffman"	0.0576919
"Billy Crudup"	0.0575589
"Harrison Ford"	0.0571943
"John Belushi"	0.0568921
"Natalie Portman"	0.0566278
"Hilary Swank"	0.0566241
"Catherine Deneuve"	0.0564645
"John Cusack"	0.0564627
"Bernadette Peters"	0.0564012
"Christian Bale"	0.0563959
Gielgud	0.0563854
Broderick	0.0561445
"Marlene Dietrich"	0.0561329
"Denzel Washington"	0.0559131
"Bill Paxton"	0.0558681
"Ella Fitzgerald"	0.0556519
"Ben Affleck"	0.0556087
"Jack Nicholson"	0.0553041
"Sela Ward"	0.0552209
"Samuel L. Jackson"	0.0548266
"Aidan Quinn"	0.0548091
"Gabriel Byrne"	0.0548083
"Brendan Fraser"	0.0545386
"Tracey Ullman"	0.0544422
"Brian Dennehy"	0.0543639
"Arnold Schwarzenegger"	0.0543503
"Ewan McGregor"	0.054339
"Rupert Everett"	0.0540814
"Ted Danson"	0.0540498
"Sean Connery"	0.0539883
"Jack Lemmon"	0.0534609
"Russell Crowe"	0.0534277
"Antonio Banderas"	0.053412
"Melanie Griffith"	0.0533051
swank	0.0532428
"John Travolta"	0.0531712
"Kathleen Turner"	0.0531599
"Omar Epps"	0.0530967
"Claire Danes"	0.0529217
"Martin Sheen"	0.0527358
"Matthew Perry"	0.0523805
"Jeff Daniels"	0.0523547
"Bill Pullman"	0.0520614
"Juliette Lewis"	0.0520465
"Heather Graham"	0.0519379
"Angela Bassett"	0.0519201
"Dennis Quaid"	0.051717
"Chevy Chase"	0.051695
"Meryl Streep"	0.0516127
Deneuve	0.0513995
"Renee Zellweger"	0.0512541
"Paul Newman"	0.051235
Sealy	0.0512228
"Andre Braugher"	0.051208
"Barbra Streisand"	0.0512073
"Ashley Judd"	0.0511552
"George Clooney"	0.0510955
"Sarah Michelle Gellar"	0.0510617
"Liam Neeson"	0.0510394
"Geoffrey Rush"	0.0508205
"Taye Diggs"	0.0507429
"Susan Sarandon"	0.0505992
"Geena Davis"	0.0505512
"Jimmy Smits"	0.0505444
"Walter Matthau"	0.0503328
"Joe Mantegna"	0.0500876
"DON JOHNSON"	0.0500121
"Vanessa Redgrave"	0.0497889
GERE	0.0496218
"Tim Allen"	0.0494226
Streep	0.0493119
"Faye Dunaway"	0.0493083
))
("Burt Reynolds" (desc 2510.15) (sims
"Brian Dennehy"	0.153089
"Richard Dreyfuss"	0.152781
"Dan Hedaya"	0.131821
"Jon Voight"	0.124662
"Kevin Costner"	0.113642
"Dustin Hoffman"	0.110922
"Tom Selleck"	0.109491
"Robert DeNiro"	0.10613
"Christopher Reeve"	0.104127
"Martin Sheen"	0.103109
Costner	0.100006
"Susan Sarandon"	0.0992536
"Michael Douglas"	0.0979042
"William H. Macy"	0.0972742
"Clint Eastwood"	0.0947656
"Gene Hackman"	0.0944524
"James Van Der Beek"	0.0943876
"Jack Lemmon"	0.0927976
"Rob Lowe"	0.0927235
"Janeane Garofalo"	0.0924451
"Kevin Bacon"	0.0923646
"Sylvester Stallone"	0.0917471
"Bette Midler"	0.0904251
"Russell Crowe"	0.09013
"Matthew Broderick"	0.0893639
"Bruce Willis"	0.0891747
"William Shatner"	0.0886633
"Julia Roberts"	0.0882405
"Bill Murray"	0.0847295
"Richard Gere"	0.0837477
"Robert Redford"	0.0830416
"Gregory Peck"	0.0814481
"Keanu Reeves"	0.0814309
"Dennis Quaid"	0.0810449
"Marlon Brando"	0.08025
"Steve Martin"	0.0800895
"George Clooney"	0.0798757
"Leonardo DiCaprio"	0.0794484
"Mark Wahlberg"	0.0792325
"Ryan Phillippe"	0.0789441
"John Wayne"	0.0788127
"Jimmy Smits"	0.07855
"Roberto Benigni"	0.0773717
"Billy Bob Thornton"	0.0768821
Schwarzenegger	0.0768373
"Robin Williams"	0.0766714
"Hugh Grant"	0.0758747
"Sidney Poitier"	0.0758568
"Jim Carrey"	0.0758549
"Arnold Schwarzenegger"	0.0755829
"Jack Nicholson"	0.0747788
"Don Cheadle"	0.0744276
"Chevy Chase"	0.0743523
"Glenn Close"	0.0730009
"Matthew McConaughey"	0.0727442
Sandler	0.0725741
"Christian Slater"	0.0714591
"Cuba Gooding Jr."	0.0711663
"Tom Cruise"	0.0709621
"Liam Neeson"	0.070611
"Meg Ryan"	0.0705162
"Johnny Depp"	0.0701385
"Jackie Chan"	0.0701189
"James Woods"	0.0699996
"Harrison Ford"	0.0697815
"Woody Allen"	0.069512
Shandling	0.0693907
"Brad Pitt"	0.0693073
"Sean Connery"	0.0687112
"Patrick Stewart"	0.0685863
"John Cusack"	0.0681324
"Omar Epps"	0.0679778
"Jamie Foxx"	0.067144
"Winona Ryder"	0.0670769
"Edward Norton"	0.0668301
"David Arquette"	0.0665788
"James Cromwell"	0.0664794
"Steve McQueen"	0.0663889
"Hank Azaria"	0.0658265
"Denzel Washington"	0.0657629
"Jimmy Stewart"	0.0657557
"Martin Lawrence"	0.0657069
"Albert Brooks"	0.065617
"Nick Nolte"	0.065571
"Humphrey Bogart"	0.065499
"Antonio Banderas"	0.0653606
"Geoffrey Rush"	0.0653491
"Melanie Griffith"	0.0652441
"Pierce Brosnan"	0.0651618
"John Belushi"	0.0650546
"Tim Robbins"	0.0649835
"Michael J. Fox"	0.064956
"Wesley Snipes"	0.0648101
"Matt Damon"	0.0647308
"Woody Harrelson"	0.0646708
"Neil LaBute"	0.064457
"Rupert Everett"	0.0636298
"Stanley Tucci"	0.0635112
"Jodie Foster"	0.0634449
"Chow Yun-Fat"	0.0633584
"Gabriel Byrne"	0.0631958
"Charlton Heston"	0.0630947
"Barbra Streisand"	0.062833
"John Travolta"	0.0627837
"Sean Penn"	0.0623518
"Will Smith"	0.0623234
"Robert Downey Jr."	0.0622869
"Harvey Keitel"	0.0621129
"Kevin Spacey"	0.0620773
"Nicolas Cage"	0.0620223
"Michael Caine"	0.0619671
"David Duchovny"	0.0619418
"Warren Beatty"	0.0617307
"Burt Lancaster"	0.0610859
"Ben Stiller"	0.0610175
"Lethal Weapon"	0.0609354
"Vanessa Redgrave"	0.060639
"AL PACINO"	0.0604602
"Demi Moore"	0.0603589
"Laurence Fishburne"	0.0603525
"Tom Hanks"	0.0603397
"James Stewart"	0.0602588
"Ian Holm"	0.0602391
Braugher	0.0599164
"Brooke Shields"	0.0597998
"Alec Baldwin"	0.0597867
"Halle Berry"	0.059698
"Henry Fonda"	0.0595262
"Paul Newman"	0.0589345
Fellini	0.0588084
"Kim Basinger"	0.0587568
"Mel Gibson"	0.0580495
"Kenneth Branagh"	0.0577569
Truffaut	0.0576989
Clooney	0.0576689
"Jeff Daniels"	0.0575741
"Jeremy Irons"	0.0575514
"Sally Field"	0.0574887
"Tommy Lee Jones"	0.0574046
Zapruder	0.0572786
"John Goodman"	0.0571677
"Whoopi Goldberg"	0.0567209
"Ben Affleck"	0.0566512
"Renee Zellweger"	0.0564913
"Robert de Niro"	0.0563871
Bogart	0.0563496
"John Malkovich"	0.0557101
"James Earl Jones"	0.0555834
"Spencer Tracy"	0.0554874
"Andre Braugher"	0.0553475
"Danny Glover"	0.0552154
Branagh	0.0551096
"Ruben Blades"	0.0549889
"Anthony Hopkins"	0.0548014
"Ethan Hawke"	0.0546178
"Marx Brothers"	0.0546103
"Diane Keaton"	0.054576
Broderick	0.0545651
"Eddie Murphy"	0.054549
"Vanessa Williams"	0.0542933
"Kirk Douglas"	0.0542663
Scorsese	0.0540825
Cleese	0.0538257
"Heather Graham"	0.0538122
"David Lynch"	0.0536779
"Samuel L. Jackson"	0.0536024
"Janet McTeer"	0.0534267
"Dennis Hopper"	0.0532985
"Ron Howard"	0.0532871
"Morgan Freeman"	0.0531904
DiCaprio	0.0529218
"Cary Grant"	0.0528984
"Alicia Silverstone"	0.0528183
"Bette Davis"	0.0527254
"Greg Kinnear"	0.0526847
"Richard Burton"	0.0522435
"Andie MacDowell"	0.0520808
"Edward Furlong"	0.0520808
"Adam Sandler"	0.0520422
Travolta	0.0519408
"Christopher Plummer"	0.051821
"Kirsten Dunst"	0.0518108
"Jane Fonda"	0.0517162
"John Leguizamo"	0.0516095
"James Dean"	0.0511033
"Jennifer Love Hewitt"	0.0510939
Hepburn	0.0509687
"Taye Diggs"	0.050616
"Jessica Lange"	0.0505809
"Spike Lee"	0.0505113
"Errol Flynn"	0.0503959
Sayles	0.0503226
"Nathan Lane"	0.0501757
"Christopher Walken"	0.0499042
GERE	0.0498478
"Alfre Woodard"	0.0496936
"Julie Andrews"	0.0496535
"Audrey Hepburn"	0.0496407
"Penelope Cruz"	0.0494264
"Val Kilmer"	0.0493617
))
(Burton (desc 17421.9) (sims
Labonte	0.18725
"Jeff Burton"	0.171115
Jarrett	0.154687
Gordon	0.150272
Earnhardt	0.150184
"Bobby Labonte"	0.144307
"Dale Jarrett"	0.13727
Mayfield	0.134972
"Rusty Wallace"	0.134516
"Jeff Gordon"	0.129786
"Mike Skinner"	0.128589
"Mark Martin"	0.126183
"Tony Stewart"	0.110999
"Dale Earnhardt"	0.110076
Wallace	0.109314
Stewart	0.106162
"Ward Burton"	0.105672
Hyde	0.104009
Andretti	0.103329
martin	0.100321
"Terry Labonte"	0.100243
"Jeremy Mayfield"	0.0976182
"Dan Burton"	0.0955427
Kenseth	0.0954057
Skinner	0.0942401
Webb	0.0929932
rudd	0.0895706
Helms	0.0873284
Irvan	0.0862415
Inkster	0.0862277
Waltrip	0.0854329
"Bill Elliott"	0.0850877
Archer	0.084286
Irwin	0.0841856
Montoya	0.0826098
"Kenny Irwin"	0.082298
Cornyn	0.0809587
Schrader	0.0784179
Schumacher	0.078264
"Ricky Rudd"	0.0779536
Franchitti	0.0763685
Lott	0.0763092
Quinn	0.0761472
Zanardi	0.0752844
"Sterling Marlin"	0.0728522
Verney	0.0727964
Bodine	0.0724337
"Ken Schrader"	0.0721217
Duval	0.0718763
Barrett	0.0716488
"Dale Earnhardt Jr."	0.0716153
Gramm	0.0714693
Vasser	0.0712104
Upton	0.0711679
Hakkinen	0.071116
Elliott	0.0710913
Inhofe	0.0710369
Bennett	0.0707171
Johnson	0.0705162
smith	0.069978
McConnell	0.0690991
Bauer	0.0688285
Barr	0.0687336
Mitchell	0.0686508
"John Andretti"	0.0683403
Kendall	0.0679783
Mickelson	0.0675944
Livingston	0.0675178
Tauzin	0.0674728
Richardson	0.067213
"Lee Hamilton"	0.0668627
Kennard	0.0660932
Shelby	0.0658008
Jones	0.0657639
Thompson	0.0657058
Watson	0.0655747
Sorenstam	0.0653823
Gephardt	0.0653573
Lugar	0.0649402
Shays	0.0648469
"Jimmy Spencer"	0.0647037
Browne	0.0644433
Wilson	0.0643844
Armstrong	0.0642081
Brack	0.0640392
Makinen	0.0637751
Lehman	0.0636066
McCollum	0.0633988
Lepage	0.0633401
Evernham	0.0632057
Danforth	0.0630287
Greenspan	0.0630246
Bliley	0.0629541
D'Amato	0.0629231
Lopez	0.0624601
Schmidt	0.0624285
Caddell	0.0621561
Garcia	0.0621129
"Henry Hyde"	0.0620174
Clark	0.0619727
Fernandez	0.0619448
Sainz	0.0619107
Davis	0.0618338
Schumer	0.0617332
petty	0.0612889
Campbell	0.0612228
Kuehne	0.0611136
Jeffords	0.0610489
Taylor	0.0610348
Peterson	0.061031
"Earnhardt Jr."	0.0609016
Reid	0.0608753
Kjus	0.0607671
Spitzer	0.0606454
"John Boehner"	0.0605753
"Robby Gordon"	0.060512
Pak	0.0604763
Williams	0.0603152
Inman	0.06005
Shaw	0.0599951
Singh	0.0598784
Hastert	0.059849
Murray	0.0597192
Johnston	0.0595949
Pataki	0.0594226
"Kyle Petty"	0.05939
Edwards	0.0592849
"Darrell Waltrip"	0.0592369
hatch	0.059057
Nelson	0.0590061
Cheever	0.0589357
Robertson	0.0589062
Neumann	0.0586987
Payne	0.0586904
Gimelstob	0.05868
"Charles Canady"	0.0586399
McCain	0.0585452
"Adam Petty"	0.0584556
Davies	0.0580862
Unser	0.057954
Herta	0.0579443
Giuliani	0.057843
Welch	0.0578298
Moore	0.0575753
Powell	0.0575673
Torricelli	0.0572509
Murkowski	0.0570796
Gingrich	0.0568831
McCall	0.0568163
Carroll	0.0567944
Riordan	0.0567412
Brownback	0.0567371
Lieberman	0.0566764
Janzen	0.0566342
"Ernie Irvan"	0.0565
Shalala	0.0564874
murphy	0.0561631
Starr	0.0561558
"David Dreier"	0.0561507
Meyer	0.0561251
Clarke	0.0560326
Terry	0.0560323
Kelly	0.0560247
Waxman	0.0559246
Anderson	0.0558949
Jacobs	0.0558324
Weldon	0.05557
Jeff	0.0555184
Moreno	0.0553798
Robinson	0.0553683
Lewis	0.0552563
Zarb	0.0552447
Carnahan	0.0552016
Roush	0.0551616
Carter	0.0549599
BENSON	0.0549236
Greene	0.054783
Boehner	0.0547807
Butler	0.054778
Blake	0.0547185
Ritter	0.0546818
Adams	0.0545888
McCaffrey	0.0545553
Craig	0.054533
Lazio	0.0544909
Hernandez	0.054432
Hodler	0.05443
Faldo	0.0543114
Mallon	0.0543099
Hewitt	0.0542437
Montgomerie	0.0542288
Driscoll	0.0541815
Palmer	0.0541702
Nicklaus	0.0540902
Torres	0.0540663
"Bill Thomas"	0.0540351
Chafee	0.0539588
Ozaki	0.0538501
Cohen	0.0538217
Thomas	0.0538138
))
(Burundi (desc 48074.8) (sims
Rwanda	0.254526
Zaire	0.24729
"Sierra Leone"	0.24088
Congo	0.237136
Angola	0.228894
Sudan	0.220933
DRC	0.220655
Somalia	0.218396
Liberia	0.214358
Comoros	0.205148
"Democratic Republic of the Congo"	0.202906
Uganda	0.20031
Niger	0.189856
"Democratic Republic of Congo"	0.185591
Guinea-Bissau	0.185095
Ethiopia	0.184544
Tanzania	0.182778
Malawi	0.181234
Namibia	0.177705
Afghanistan	0.176667
Mozambique	0.175673
"Republic of Congo"	0.173505
Zambia	0.172369
Lesotho	0.171782
Benin	0.170528
Botswana	0.168753
Zimbabwe	0.168616
"African country"	0.167393
Algeria	0.167392
Togo	0.165825
Djibouti	0.16548
"Central African Republic"	0.164661
"Guinea Bissau"	0.163413
Kenya	0.16313
Seychelles	0.163082
Gabon	0.160308
"Democratic Republic"	0.16025
Chad	0.159854
Mali	0.158983
Guinea	0.156137
Senegal	0.155844
Nigeria	0.155174
"Burkina Faso"	0.154921
"African nation"	0.153803
"Ivory Coast"	0.153305
Cambodia	0.15252
Cameroun	0.14973
Tajikistan	0.149147
Eritrea	0.146462
"Democratic Congo"	0.145701
Ghana	0.14528
Swaziland	0.145067
Madagascar	0.144613
Bosnia	0.144189
Albania	0.136063
"East Timor"	0.133877
Gambia	0.133784
Mauritius	0.131405
Haiti	0.128803
"South Africa"	0.127466
Pakistan	0.127325
Libya	0.127004
Yugoslavia	0.126469
Nicaragua	0.125318
Kosovo	0.125229
Mauritania	0.123591
Yemen	0.11997
Colombia	0.119297
Myanmar	0.118204
Iran	0.117216
Iraq	0.116366
"Sri Lanka"	0.116202
"Sao Tome and Principe"	0.115063
"Cape Verde"	0.114709
Chechnya	0.114314
Cameroon	0.114154
"Northern Ireland"	0.113614
Lebanon	0.113398
"Equatorial Guinea"	0.113312
Guatemala	0.111719
Bangladesh	0.111241
Egypt	0.110986
Cyprus	0.110136
Fiji	0.110117
Indonesia	0.110083
"Middle East"	0.109574
Bosnia-Herzegovina	0.109392
Balkans	0.106714
Peru	0.106549
"El Salvador"	0.10637
Africa	0.105128
country	0.104735
Republic	0.103941
Macedonia	0.101412
region	0.100432
Tunisia	0.0993685
Laos	0.0989556
Kyrgyzstan	0.0985105
"Balkan country"	0.0981066
Burma	0.0979152
Kashmir	0.0977623
Montenegro	0.0977582
Ecuador	0.0967346
Syria	0.0964733
Turkey	0.0963443
Venezuela	0.0962669
"Central Africa"	0.0960201
Serbia	0.0958409
"Congo Republic"	0.0955505
India	0.0950534
Armenia	0.0950393
Mongolia	0.0949328
"North Korea"	0.0947268
Honduras	0.0940746
Croatia	0.0937645
Cuba	0.0935455
Ukraine	0.0933478
Kinshasa	0.0931303
"Asian country"	0.0930919
Zanzibar	0.0929456
Bujumbura	0.0927738
Nepal	0.0927037
Bahrain	0.0926581
Vietnam	0.0918921
Thailand	0.0915972
Guyana	0.0910193
Israel	0.0902685
Russia	0.0901877
Mindanao	0.0896349
Bulgaria	0.0892264
Morocco	0.089003
"Great Lakes Region"	0.0882208
DPRK	0.0879119
Uzbekistan	0.0876503
Azerbaijan	0.087502
Mogadishu	0.0872173
Kuwait	0.087148
"Saudi Arabia"	0.0869415
Malaysia	0.0867034
China	0.085714
province	0.0856891
"Papua New Guinea"	0.084945
Belarus	0.0848168
"Asian nation"	0.0846878
Philippines	0.0845525
Greece	0.0845044
Kisangani	0.0844475
Bolivia	0.0839558
"West Timor"	0.083892
Panama	0.0837568
Dagestan	0.0820083
Mexico	0.0819144
Romania	0.0816238
Palestine	0.0814336
Qatar	0.0810592
Brunei	0.0807714
"Solomon Islands"	0.0805902
Argentina	0.0802775
"Dominican Republic"	0.0797881
Austria	0.0793735
Hungary	0.0793299
"Western Sahara"	0.0788006
Maluku	0.0787928
Brazzaville	0.0787644
Moldova	0.0787426
Aceh	0.0786479
Chile	0.0782968
Poland	0.0782837
"South American country"	0.0782452
Paraguay	0.0779309
Taiwan	0.0776704
continent	0.0775416
UNITA	0.0773006
Abkhazia	0.0768926
Turkmenistan	0.0766727
Brazil	0.0764615
Kingdom	0.0761674
Bhutan	0.0760043
Kazakhstan	0.075667
Kabila	0.075333
France	0.0751442
Arusha	0.0749154
Jordan	0.0747708
"South Korea"	0.0747344
Oman	0.0740309
Chiapas	0.0739669
"Federal Republic"	0.0738185
Japan	0.0735535
Switzerland	0.0734377
Slovenia	0.073213
Baghdad	0.0730583
Asia	0.0730501
"Costa Rica"	0.0728921
Korea	0.0727967
Ingushetia	0.0725408
Uruguay	0.0724983
"Republic of Korea"	0.0722776
Kigali	0.0718203
"Latin America"	0.071697
Portugal	0.071646
))
(Burundian (desc 3907.5) (sims
Liberian	0.215895
Angolan	0.202171
Zairean	0.192215
Ugandan	0.189567
Congolese	0.177911
Rwandan	0.17543
Mozambican	0.170642
Sudanese	0.163812
Eritrean	0.148632
Cambodian	0.145742
Bosnians	0.136911
Tanzanian	0.13301
Somali	0.131178
Ethiopian	0.125955
Zimbabwean	0.123545
Lebanese	0.118437
"East Timorese"	0.115168
Kosovars	0.115063
"Sierra Leonean"	0.114905
"Kosovo Serbs"	0.113676
"Rwandan Patriotic Front"	0.111623
"Kosovar Albanians"	0.111617
Afghan	0.110905
Beijingers	0.110292
Tutsi	0.108106
Hutus	0.107712
Namibian	0.107239
"Sri Lankans"	0.106917
Kenyan	0.106372
Honduran	0.104927
Ukrainians	0.101279
"Albanian Kosovars"	0.101091
Malawian	0.0994897
Banyamulenge	0.0994594
Tutsis	0.0992861
Haitian	0.0986786
Guinean	0.098581
Colombian	0.0982415
"Kosovo Albanians"	0.0976648
Armenians	0.0963347
Nicaraguan	0.0956358
Guatemalan	0.0954973
"displaced person"	0.0951941
Bangladeshi	0.0935165
Kuwaiti	0.0929052
Bhutanese	0.0916583
Pakistani	0.089833
enumerators	0.0894426
laid-offs	0.0882931
"South African"	0.088163
Hutu	0.0881087
Cypriot	0.0873231
Nepalese	0.0865256
Bulgarian	0.0852133
Japanese-Americans	0.0850237
Filipino	0.0849117
Iraqi	0.0847855
deserter	0.08411
Vietnamese	0.0836706
Jordanian	0.0833459
"Iraqi POWs"	0.0830252
"temporary worker"	0.0829797
"United Nations High Commissioner for Refugees"	0.0829235
Tibetans	0.0822832
Nigerian	0.0809056
Georgian	0.0800308
Chechens	0.0800232
illegals	0.0777442
returnees	0.0772653
Zambian	0.0772053
sq.km	0.0768575
Iranian	0.0764792
Ghanaians	0.0761038
"North Koreans"	0.0757103
"North Africans"	0.0751288
"Iranian POWs"	0.0749531
asylum-seekers	0.0748174
Egyptian	0.0745656
Indonesian	0.074378
Salvadoran	0.074008
African	0.0738622
Ecuadoreans	0.0733886
Kurds	0.0732482
"Uganda People's Defense Forces"	0.0728193
Yemeni	0.0727352
foreigner	0.0722283
"United Nations High Commission for Refugees"	0.071837
"Russian Jews"	0.0717582
Turk	0.0713086
villager	0.070829
Chinese-Indonesians	0.0706978
"Greek Cypriots"	0.0703591
"Bosnian Muslims"	0.0698444
Singaporean	0.0697611
migrant	0.0696993
Moslem	0.0693172
"Iraqi Kurds"	0.0692206
"domestic animal"	0.0691978
worshiper	0.0688523
crewmembers	0.0686876
Timorese	0.0682146
"European Jews"	0.0671282
Peruvian	0.0667649
herdsmen	0.066601
Thai	0.0665583
Malaysian	0.0664715
VMs	0.0661781
reveler	0.065598
Iowan	0.0653503
Senegalese	0.0652505
mainlanders	0.0651877
kilometre	0.0650365
"drug addict"	0.0646028
"Sudan People's Liberation Army"	0.0641708
reservist	0.0641104
non-Albanians	0.0640849
non-Serbs	0.0640711
evacuee	0.0639258
Moroccan	0.0637064
Chilean	0.0634359
armymen	0.0629503
Rwandese	0.0628873
Laotian	0.0628017
"South Koreans"	0.0624838
Athenian	0.0624826
Cuban-Americans	0.062427
Malian	0.0622693
Harmoko	0.0612301
centenarian	0.0610976
Bolivian	0.0609224
homeless	0.0608885
"farm worker"	0.0608631
peasant	0.0607801
Taiwanese	0.0605911
Hindu	0.0605417
"Frederick Sumaye"	0.0602874
Macedonian	0.0602423
inhabitant	0.0599491
Syrian	0.0599174
"more than @@@,@@@"	0.0597805
enrollee	0.0596218
protestor	0.0592373
Hmong	0.0591904
laborer	0.0591067
Algerian	0.0590718
Briton	0.0587248
Nasrin	0.0586491
Montenegrins	0.0586053
"union worker"	0.058163
worshipper	0.0579602
snowmobilers	0.0578543
servicemen	0.0577369
"industrial enterprise"	0.0576968
registrant	0.0576232
Muscovite	0.0575392
"coal miner"	0.057469
expatriate	0.057467
Koreans	0.0571792
job-seekers	0.0571657
"military man"	0.057056
"AIDS patient"	0.0570267
Yugoslavian	0.0567155
businesspeople	0.0567064
Venezuelan	0.056667
VCDs	0.0561886
combatant	0.056121
orphan	0.055984
crossers	0.0559254
UNHCR	0.0554801
Greeks	0.0553459
mercenary	0.0549686
Californian	0.0548933
seeker	0.0548909
major-leaguers	0.0544541
"Central American"	0.0543701
"drug user"	0.0542129
marcher	0.054074
"robbery suspect"	0.0540342
"San Franciscans"	0.053926
policyholder	0.053902
"World Food Program"	0.0536732
Navajos	0.0534082
"New Zealander"	0.0533608
Tunisian	0.0531541
"hundred thousand"	0.0531132
"military personnel"	0.052956
"work unit"	0.0529477
"stamp collector"	0.0529052
Mobutu	0.052896
Swazi	0.0526752
"census taker"	0.0526381
"union member"	0.0525543
backpackers	0.0525223
"Kosovo Albanian"	0.0522169
claimant	0.0522068
dwt	0.0517852
state-owned	0.0517498
"senior citizen"	0.051655
pilgrim	0.0514768
Shayler	0.0514114
))
(burying (desc 1393.21) (sims
"nearly three"	0.0698498
Imelda	0.0690617
"less than two"	0.0501855
honoring	0.046336
slingshot	0.045625
INDIA-PAKISTAN	0.0448229
"About two million"	0.0426699
fact-finding	0.0424211
"nearly one million"	0.0421042
Trumbull	0.0401936
))
(bus (desc 137835) (sims
train	0.255581
truck	0.252624
car	0.222484
van	0.219175
vehicle	0.211648
taxi	0.192701
plane	0.187094
jeep	0.175328
"school bus"	0.173996
boat	0.172099
minibus	0.161738
limousine	0.157062
airplane	0.152068
ferry	0.151399
helicopter	0.150398
lorry	0.14578
subway	0.14356
"pickup truck"	0.140946
Motorcycle	0.137945
ship	0.135627
Ambulance	0.135604
aircraft	0.135349
"passenger train"	0.133686
tractor	0.129634
cab	0.12918
"city bus"	0.12612
convoy	0.124029
tanker	0.12395
"tractor trailer"	0.123546
automobile	0.121153
pickup	0.120151
bicycle	0.120055
"police car"	0.118737
"freight train"	0.116427
bike	0.116204
trailer	0.115568
wagon	0.11528
jet	0.113677
flight	0.113218
vessel	0.112289
trolley	0.11016
airliner	0.10857
minivan	0.103334
"commuter train"	0.102527
rail	0.100843
"motor vehicle"	0.10069
road	0.100443
"patrol car"	0.100113
Tram	0.100104
motorcade	0.100068
building	0.098321
Sedan	0.0977286
"station wagon"	0.0976773
elevator	0.0973623
rig	0.0969979
jetliner	0.0968859
locomotive	0.0962018
carriage	0.0957704
"cruise ship"	0.0952535
tank	0.0951173
"express train"	0.0950425
barge	0.0943993
"shuttle bus"	0.0942496
"passenger car"	0.0940131
highway	0.0930781
Limo	0.0923444
hotel	0.0914519
Cruiser	0.090844
cart	0.089901
"subway train"	0.089663
"personnel carrier"	0.0895762
passenger	0.088689
street	0.0883619
traffic	0.087852
house	0.086385
"dump truck"	0.0862857
"bus service"	0.0855455
freighter	0.0853387
"fishing boat"	0.0848491
motorbike	0.0847641
"cargo ship"	0.0842394
"military vehicle"	0.0831566
motorist	0.082857
route	0.0823143
bridge	0.0805664
driver	0.0802902
airport	0.0801987
"apartment building"	0.0801278
shop	0.0799496
home	0.0797386
apartment	0.0792463
restaurant	0.0786549
"fire truck"	0.0785365
ride	0.0782966
shuttle	0.0767581
"mobile home"	0.0763161
Mercedes	0.0761076
station	0.0761011
railway	0.0760588
commuter	0.0758299
"fire engine"	0.0753106
auto	0.0751323
"oil tanker"	0.0739345
machine	0.0737966
SUVs	0.0737855
SUV	0.073524
Warehouse	0.0733024
pedestrian	0.0731285
"golf cart"	0.0728013
"parking lot"	0.0721776
"Flight @@@"	0.0719617
factory	0.0717382
engine	0.0717046
"bus stop"	0.071688
phone	0.0713814
"bus station"	0.0712826
yacht	0.071133
"bus driver"	0.0708726
"hotel room"	0.0708211
sidewalk	0.0707378
garage	0.0705929
facility	0.0698952
tourist	0.0698478
cabin	0.0697941
room	0.0695741
submarine	0.069316
horse	0.0692435
airline	0.0686962
"police station"	0.0684474
hospital	0.0681685
office	0.0681594
trip	0.0680857
terminal	0.0678686
classroom	0.0677673
minivans	0.0676362
pipeline	0.067519
box	0.0673117
transportation	0.0672354
air	0.0671042
container	0.0670528
police	0.0668931
speedboat	0.0666369
"office building"	0.0665488
tunnel	0.0663139
"power plant"	0.0662621
telephone	0.0662408
caravan	0.0660132
store	0.0660088
seat	0.0659764
troop	0.0658754
village	0.0658148
school	0.0655959
transport	0.0651208
embassy	0.0649564
raft	0.0648098
Computer	0.0647714
equipment	0.0646061
park	0.0645194
track	0.0644639
church	0.0642696
patrol	0.0642449
tire	0.0640625
scooter	0.064021
tent	0.0639414
Concorde	0.0638556
soldier	0.0638349
"shopping mall"	0.0637768
stadium	0.0637705
craft	0.0635311
bulldozer	0.0633763
cargo	0.0632129
missile	0.0629244
mall	0.0629099
block	0.0628081
policemen	0.0627282
farm	0.0627098
camper	0.0626431
"gas station"	0.0626371
site	0.0625344
"shopping center"	0.0624792
area	0.062193
bed	0.0619225
plant	0.0619072
floor	0.0616898
railroad	0.0612734
campus	0.0612097
Boeing	0.0611182
sailboat	0.0610934
shelter	0.0608667
service	0.0608652
mosque	0.0607856
booth	0.0607704
refugee	0.0607335
Tower	0.0605929
freeway	0.0605293
canoe	0.0604243
land	0.0603966
field	0.0603232
checkpoint	0.05995
line	0.0599061
))
("bus company" (desc 3178.52) (sims
"trucking company"	0.146288
"shipping company"	0.134403
"travel agency"	0.116745
"power company"	0.110026
"steel company"	0.104833
minibuses	0.100791
"futures exchange"	0.0998802
railroad	0.0946686
"flour mill"	0.0925697
"telephone company"	0.0886205
Buss	0.0885218
"service station"	0.0846022
"liquor store"	0.0843175
"advertising agency"	0.0830041
"blood bank"	0.0828205
"food company"	0.0823272
"electric company"	0.0811291
"Liberty Media"	0.080134
"savings bank"	0.0798179
"railway car"	0.0792476
"funeral home"	0.0788338
"ad agency"	0.0787891
minibus	0.0787742
USEC	0.0786451
"jewelry store"	0.0780821
"retail chain"	0.0778171
"defense contractor"	0.0755832
"finance company"	0.0755668
"savings and loan"	0.0750085
"publishing company"	0.0749504
"machine shop"	0.0747299
"employment agency"	0.0747208
"trade association"	0.0739539
"labor union"	0.0735218
"credit union"	0.0734195
"home builder"	0.073376
"trucking industry"	0.0732124
"auction house"	0.0728412
brewery	0.0727476
"water company"	0.072621
"auto company"	0.0718284
"Airport Authority"	0.0715272
"shoe store"	0.0714613
cannery	0.071324
"El Al"	0.0712707
"insurance firm"	0.0710908
"insurance company"	0.071034
"mining company"	0.070899
"electronics company"	0.0708094
bottlers	0.0706643
pizzeria	0.0705302
"personnel department"	0.069883
"pleasure boat"	0.069683
"city bus"	0.0694607
"beauty salon"	0.0688259
EgyptAir	0.068734
"transportation company"	0.0686859
Amtrak	0.0686244
"TV network"	0.0685692
"television network"	0.0683851
"textile mill"	0.0679735
taxi	0.0679695
"Koch Industries"	0.0677456
"Cathay Pacific"	0.0675385
"Universal Music Group"	0.0672677
"brokerage house"	0.0669889
drugstore	0.0669841
"Price Waterhouse"	0.0669445
"phone company"	0.0660131
"repair shop"	0.0659287
Trucking	0.0659232
"toy maker"	0.0656533
Kia	0.0653296
"television station"	0.0651923
"private foundation"	0.0650971
"bus service"	0.0650377
delicatessen	0.0649716
"copper mine"	0.0649381
"theater company"	0.0649286
"Israeli Foreign Ministry"	0.0648837
"life insurer"	0.0645461
"health maintenance organization"	0.0644294
slaughterhouse	0.0643278
"Sprint Corp."	0.0643123
crematorium	0.0642743
PETROBRAS	0.0642525
FAA	0.0638939
"bus driver"	0.0638245
"department store"	0.0634064
SabreTech	0.0624653
REIT	0.0624437
Pemex	0.0624118
"Hollywood studio"	0.0624046
"toy store"	0.0623827
semitrailer	0.0622907
"fire department"	0.0621616
thoroughbred	0.062116
"Transport Ministry"	0.0619721
brokerage	0.0619626
issuers	0.0619515
"commercial bank"	0.0618731
Mensa	0.0618176
"chain store"	0.0617927
"telephone operator"	0.061732
UAL	0.0617199
Janus	0.0617073
"machinists union"	0.0616853
nightspots	0.0616317
BofA	0.0615539
"Burlington Northern"	0.0615357
"insurance business"	0.0614747
"transit authority"	0.0614516
IAI	0.0613576
"Boys Ranch"	0.0613475
dealership	0.0612728
"gas company"	0.0611823
"bus line"	0.0611721
Harrods	0.061087
"investment company"	0.0609994
"De Beers"	0.0609246
"printing press"	0.0608338
refiner	0.0607478
Napolitano	0.0607327
"brokerage firm"	0.0605651
Media-MOST	0.0605644
"Air France"	0.0605572
"securities industry"	0.0605242
wholesaler	0.0605063
"express train"	0.0603932
"hardware store"	0.0603468
"billion yuan"	0.060153
"day care center"	0.0601199
"movie studio"	0.0600384
"educational institution"	0.0599393
"Labor Ministry"	0.0599207
"TV station"	0.0598335
"business organization"	0.0597815
"film industry"	0.0597502
"communications satellite"	0.0595975
"postal service"	0.0595864
Denel	0.0595164
jeepney	0.0593889
"Federal Express"	0.059378
"Bankers Trust"	0.0592148
"dairy farm"	0.0591242
"Tribune Co."	0.0589961
"department store chain"	0.0589317
"restaurant chain"	0.058907
All-Tech	0.0587418
"accounting firm"	0.0587382
"grocery store"	0.0587017
YankeeNets	0.058701
"car maker"	0.0584273
Telkom	0.0583524
"equity fund"	0.0583321
"banking industry"	0.0582653
"Consolidated Edison"	0.0582565
PolyGram	0.0582425
transporter	0.0581922
"printing company"	0.0581524
"movie theater"	0.0580206
shipbuilder	0.0580083
"investment fund"	0.0577765
Humvees	0.0575993
"credit bureau"	0.0575968
"bank holding company"	0.0575716
MBNA	0.0575089
"Pac Bell"	0.0574401
Healtheon	0.0573798
"Union Pacific"	0.0573552
Maximus	0.0571807
"newspaper publisher"	0.0571795
"gambling casino"	0.0571501
Lukoil	0.0571486
"cruise ship"	0.0571064
"retail store"	0.0570204
"clothing store"	0.0569737
trucker	0.056899
"trade union"	0.0568328
"state enterprise"	0.0567474
CWA	0.056742
Realtor	0.0566896
"child welfare agency"	0.0566682
Biman	0.0565687
midlevel	0.0565566
carmakers	0.0565364
"bus route"	0.0565003
"school bus"	0.0563786
"Ministry of Railways"	0.0563148
"school system"	0.0562667
"computer store"	0.0562622
Lilco	0.0562162
"Gulf Air"	0.0560965
"gas station"	0.0560667
NGO	0.0560257
KPA	0.0558638
USAir	0.055863
"furniture company"	0.0557632
Chiquita	0.0556779
"delivery service"	0.0556548
))
("bus driver" (desc 12131) (sims
"truck driver"	0.173749
janitor	0.124858
driver	0.108037
electrician	0.106695
"factory worker"	0.105851
steelworker	0.103053
cabdriver	0.0978977
"coal miner"	0.0967296
trucker	0.0966325
"prison guard"	0.0955239
"police officer"	0.0954117
pilot	0.0953678
firefighter	0.0945979
shopkeeper	0.0933212
technician	0.0911568
engineer	0.0911046
policeman	0.0895523
"security guard"	0.089272
"flight attendant"	0.0887753
"school teacher"	0.0872478
miner	0.0872147
teacher	0.0861174
pedestrian	0.0859264
"school principal"	0.0858902
mechanic	0.0858546
cabby	0.085642
waitress	0.0854299
"ticket agent"	0.0849499
motorist	0.0848693
attendant	0.084816
accountant	0.0842708
firemen	0.083876
nurse	0.0835425
firefighters	0.0831573
welder	0.0826362
plumber	0.0825083
laborer	0.0819314
schoolteacher	0.0811726
"civil servant"	0.0806773
clerk	0.0805895
fireman	0.0804987
"electrical engineer"	0.0803995
"staff member"	0.0791426
policemen	0.0790379
"crew member"	0.0784259
"university student"	0.0782256
bookkeeper	0.0781806
"social worker"	0.0778043
doctor	0.0775785
housekeeper	0.0769179
waiter	0.076573
hairdresser	0.076273
minibus	0.0756593
"computer programmer"	0.074985
seamstress	0.0749023
housewife	0.0742619
Fishermen	0.0741964
machinist	0.0741395
chauffeur	0.0739467
fisherman	0.0739015
"farm worker"	0.0737548
journalist	0.0732623
stockbroker	0.073152
"fire fighter"	0.0731375
bartender	0.0730169
carpenter	0.0727704
commuter	0.0725143
crewmembers	0.0715585
supervisor	0.0715558
logger	0.0710787
villager	0.0709863
bus	0.0708726
"Navy Seal"	0.0707003
"funeral director"	0.0702764
bricklayer	0.0700759
Tram	0.0698972
"army officer"	0.0694881
trainee	0.0689189
pharmacist	0.0688393
librarian	0.0683832
farmer	0.0683503
passerby	0.0683146
"air force officer"	0.0677576
dentist	0.0675861
"military personnel"	0.0675035
staffer	0.0674953
"military officer"	0.0672562
operator	0.066947
soldier	0.0667971
"shop assistant"	0.0665413
"military man"	0.0663781
maid	0.0663717
paramedic	0.0663575
handler	0.0663499
schoolchildren	0.0661227
"dock worker"	0.0658834
motorcyclists	0.0657907
counselor	0.0657559
reservist	0.0656061
Sergeant	0.0655711
personnel	0.0652181
serviceman	0.065105
tutor	0.0649506
sailor	0.0646352
"college student"	0.0645352
missionary	0.0643489
receptionist	0.064238
chaperone	0.0641662
"union member"	0.0640396
crewmen	0.063997
bystander	0.0639891
"police lieutenant"	0.0639134
"bus company"	0.0638245
prostitute	0.0637727
trooper	0.0637161
Councilman	0.063716
bodyguard	0.0636894
"church member"	0.0635151
"dairy farmer"	0.0634514
taxi	0.0633971
boater	0.0633819
controller	0.0633818
minibuses	0.063335
administrator	0.0631345
"police sergeant"	0.0630604
servicemen	0.0629695
mini-buses	0.0626106
"enlisted man"	0.062222
"labor leader"	0.0621733
priest	0.0619449
stewardess	0.0618156
"trucking company"	0.0615941
homemaker	0.061481
restaurateur	0.061437
"union worker"	0.0613852
"English teacher"	0.0613264
protester	0.0611608
teller	0.0611443
diplomat	0.060929
cashier	0.0604933
lifeguard	0.060488
demonstrator	0.0603645
custodian	0.059948
hostage-takers	0.0596888
passenger	0.0596159
seamen	0.0595945
"police captain"	0.0595357
Cop	0.0594376
passers-by	0.0593354
contractor	0.0592215
protestor	0.0591579
cadet	0.0590276
"mail carrier"	0.0589364
assistant	0.0588459
repairman	0.0585935
"math teacher"	0.0584793
fire-fighter	0.0584708
"Sri Lankans"	0.0584137
Buss	0.0583795
banker	0.0582627
photographer	0.058223
gunman	0.058109
"civil engineer"	0.0580982
parishioner	0.0580602
pensioner	0.0580225
"state senator"	0.0579566
optometrist	0.0578567
Salvadoran	0.0578245
activist	0.0575436
retiree	0.0575197
"garment worker"	0.0572992
"ground crew"	0.0572733
preacher	0.0571784
settler	0.0570293
educator	0.0570223
"insurance agent"	0.0569982
physician	0.0568017
medic	0.0568002
businessmen	0.0567924
co-pilot	0.0566908
businessman	0.0566677
"house painter"	0.0565537
cadre	0.0563874
civilian	0.0563347
headmaster	0.0562016
musician	0.0561636
instructor	0.0561477
armymen	0.0560365
cameraman	0.0560251
"real estate broker"	0.0559818
Colonel	0.0559607
salespeople	0.055937
"bus service"	0.0559333
surgeon	0.0558985
monk	0.0557755
townspeople	0.0557459
youth	0.0556652
dispatcher	0.0556627
"Coptic Christians"	0.0556317
Bedell	0.0555886
))
("bus fare" (desc 1720.56) (sims
"bus ticket"	0.145514
"insurance premium"	0.12085
airfare	0.119559
"entrance fee"	0.116479
"gasoline tax"	0.108963
"interest expense"	0.097222
"telephone bill"	0.0909785
"service charge"	0.0908383
ridership	0.0875932
"bus line"	0.0866951
"value added tax"	0.0824955
Tuition	0.0818335
"train ticket"	0.0814595
"retail price"	0.080512
"gas price"	0.0800537
"production ceiling"	0.0795849
"property tax"	0.0788294
"borrowing cost"	0.0787369
"excise tax"	0.0786327
"mortgage rate"	0.0772898
"marketing cost"	0.0771356
"phone bill"	0.0766497
"value-added tax"	0.0751231
"admission fee"	0.0750333
"cost of living"	0.0749395
postage	0.073111
"take-home pay"	0.0729577
"key rate"	0.0711171
copayments	0.0710832
"operating expenses"	0.070899
"ransom money"	0.070732
"admission price"	0.0703332
"selling price"	0.0698543
"bank rate"	0.0696719
"electric bill"	0.0696079
surcharge	0.0694042
"national income"	0.0691215
"user fee"	0.0691064
"parking ticket"	0.0690378
"operating cost"	0.0682051
"oil production"	0.0680055
"minimum wage"	0.067323
"bus service"	0.0662924
co-payments	0.0650767
"import duty"	0.065032
"market penetration"	0.064339
"sticker price"	0.0639751
lattes	0.0635211
co-payment	0.0626024
"producer price"	0.0623746
"licensing fee"	0.0617484
"airplane ticket"	0.0612622
"occupancy rate"	0.0612613
"housing sale"	0.0601731
"drug sale"	0.0593849
"tax rate"	0.0592552
dowry	0.0591823
"production cost"	0.0589748
"labor cost"	0.0583271
"personal income"	0.0580412
TAXES	0.0579986
VAT	0.0577143
added-value	0.0576748
"Official Development Assistance"	0.0573637
gratuity	0.0566748
"stamp duty"	0.0562264
enrolment	0.056182
"almost $@@@,@@@"	0.0561593
"noise level"	0.0561044
"heart rate"	0.0554848
"discount rate"	0.0554159
"speed limit"	0.0552447
"fresh food"	0.0551649
"body temperature"	0.0548998
petrol	0.0539369
"price list"	0.0538565
"consumption tax"	0.0537101
Agusta	0.0536657
"medical bill"	0.0535341
"legal age"	0.0531256
"poverty rate"	0.0530285
"customs duty"	0.0525327
"legal fee"	0.0524114
RAMBUS	0.0515854
"plane ticket"	0.0512871
"defense budget"	0.050654
PPI	0.0503963
"special drawing rights"	0.0499242
deductibles	0.0495453
mileage	0.0494792
subscription	0.0488171
"Social Security benefit"	0.0487938
helix	0.0487661
"insurance claim"	0.048235
"about @@@ million yuan"	0.0482325
"truck sale"	0.048004
CPI	0.0479538
"asking price"	0.0477453
joblessness	0.0476888
"bond price"	0.0473888
"consumer price index"	0.0472664
"a few hundred dollars"	0.0471857
"child support"	0.0464951
"vehicle sale"	0.0464405
latte	0.0463914
Fares	0.046366
GNP	0.0462226
"almost $@ million"	0.0462182
birthrate	0.0459614
"almost $@@ million"	0.0455591
mil	0.0452078
"bus station"	0.0451691
"nearly $@.@ million"	0.0450596
"retirement age"	0.0448156
"tax income"	0.0446965
"nearly $@@,@@@"	0.0446591
"living space"	0.0445576
liter	0.0445228
Vermonter	0.0444634
caseloads	0.0444114
"goose bumps"	0.0443567
"transfer payment"	0.0442375
outlay	0.0441373
"funds rate"	0.0439968
"tax collection"	0.0439178
"time deposit"	0.0438105
"heating oil"	0.0437125
ante	0.0435068
three-mile	0.043506
Tram	0.0427789
"dollar amount"	0.0424828
Thruway	0.0424217
remittance	0.0423946
"hundred thousand dollars"	0.0423667
"home sale"	0.0422022
"dividend yield"	0.0421916
townhouses	0.0421366
"pay rate"	0.0419938
"almost $@@,@@@"	0.0419288
"bus terminal"	0.0417296
"medicare payment"	0.0414734
"about $@.@@ million"	0.0414549
"asset value"	0.0414373
indemnity	0.0413427
"raw data"	0.0412832
PRICETAG	0.0409488
monies	0.0409152
wastewater	0.0408554
"death benefit"	0.0408541
"barrels per day"	0.0408453
"annual payment"	0.0408072
"relative humidity"	0.0407978
ammo	0.0407575
Sensex	0.0404192
"more than @@@,@@@ yuan"	0.0403919
Ellipse	0.0402968
"price pressure"	0.0401922
))
("bus line" (desc 2192.66) (sims
"bus service"	0.123313
"bus route"	0.122251
"gambling casino"	0.104923
"highway system"	0.103139
"bus fare"	0.0866951
motorway	0.0800743
"railway system"	0.0795688
megaplexes	0.0791814
"trunk line"	0.077925
"shuttle bus"	0.0753604
"communications network"	0.0741577
"rail line"	0.0673045
"commuter train"	0.0672937
"trucking company"	0.0658621
"bus terminal"	0.0651422
"railway line"	0.0630815
incinerator	0.0629044
"passenger train"	0.0616546
Hotlines	0.061405
"bus company"	0.0611721
"Miller Park"	0.0608096
"transportation system"	0.0604966
"suspension bridge"	0.0598404
"bus station"	0.0594083
"power unit"	0.0594004
portables	0.0588689
subway	0.058831
"bus ticket"	0.0586255
"international flight"	0.0583154
"hot line"	0.0568484
"retail chain"	0.056499
"gas line"	0.0557149
"domestic flight"	0.0556779
"railroad line"	0.0553732
hypermarket	0.0546133
"water system"	0.0544744
Tram	0.054252
councilwoman	0.0540824
"trading post"	0.0540097
ECNs	0.0539675
"retail operation"	0.0537642
meatpackers	0.053655
"software system"	0.0536344
expressway	0.0534235
Concordes	0.0534062
kiosk	0.0532746
"restaurant chain"	0.0532642
"Ford Taurus"	0.0532247
"container ship"	0.0529214
"shipping company"	0.0528782
B-@s	0.0524864
"bus driver"	0.0523824
"Hong Kong International Airport"	0.0523513
"savings bank"	0.0522631
"chain store"	0.0519842
"oil pipeline"	0.0518394
eateries	0.0517824
"B&AMP;B"	0.0517284
"distribution system"	0.051269
"beauty shop"	0.0507354
"telephone system"	0.0506435
"retail store"	0.0503181
"power company"	0.0498365
taskforce	0.0496908
"investment company"	0.0496083
"city bus"	0.0495379
sub-projects	0.0495371
"business unit"	0.0492779
"service agency"	0.0491917
"transmission line"	0.0490026
"stock company"	0.048871
"day care center"	0.048772
superstore	0.048561
twenty-six	0.0485139
"TV station"	0.0484051
"Coptic Christians"	0.0483285
"million yuan"	0.0483108
"work group"	0.0482309
"subway station"	0.0481149
"clothing chain"	0.0480246
"electric company"	0.0479629
"sales outlet"	0.047948
"fire truck"	0.0479324
"oil refinery"	0.0476299
"consumption tax"	0.0475469
"ball club"	0.0474553
"power grid"	0.0474534
"movie studio"	0.0474138
"subsidiary company"	0.0473512
"basketball season"	0.047201
"state highway"	0.0471709
homepages	0.0471222
"delivery service"	0.046997
"telephone network"	0.0469678
"trade route"	0.0466088
"freight car"	0.0465572
conventioneer	0.0464205
"driving school"	0.0464193
Railtrack	0.0462918
"two units"	0.0462717
"planning commission"	0.04627
"communication network"	0.0462698
"service station"	0.0461285
"police office"	0.0460924
"Metropolitan Transportation Authority"	0.0460753
websites	0.0459471
"extension cord"	0.0459294
aldermen	0.0459262
"funeral home"	0.0459075
"Go Network"	0.0457253
"shopping center"	0.045445
"bond offering"	0.0454243
bureaus	0.0453899
"educational institution"	0.0453241
"Internet Service Providers"	0.045285
crematorium	0.0452694
"water main"	0.0452507
"cable system"	0.045119
"phone system"	0.0450162
"sea lane"	0.0450159
"supply route"	0.0449656
Supercenters	0.0449499
"theater company"	0.0449253
"Trade Fair"	0.0447901
A@@@	0.0446963
"employment agency"	0.0445855
mortuary	0.0445453
"Fortune Global Forum"	0.0445397
"value added tax"	0.0443443
"food company"	0.0440322
infirmary	0.0439987
"particle accelerator"	0.0438496
"sewer system"	0.0437169
smooch	0.043701
carbine	0.0436363
"branch office"	0.0433878
"teaching method"	0.0433703
"discount store"	0.0433439
"industrial park"	0.0432909
"Medicare HMO"	0.0431537
"military vehicle"	0.043149
"surveillance system"	0.0431266
Councilors	0.0430726
"Baby Bells"	0.0430305
delicatessen	0.0430207
"broadcasting company"	0.0430176
"dairy farm"	0.0429682
"aircraft order"	0.042926
"insurance market"	0.042884
"car door"	0.0428214
macro	0.0428202
"summer house"	0.0428063
mushers	0.0424379
smelter	0.0423866
"incentive program"	0.0421749
"clothing store"	0.0421583
"vocational school"	0.0421543
"data link"	0.0419896
"business line"	0.0419826
"trading system"	0.0419811
Netcenter	0.0419678
kennel	0.0418952
"blood bank"	0.0415329
"Market system"	0.0415095
"express train"	0.0412472
"control board"	0.0411348
hotline	0.0410901
"draft board"	0.0410399
"business activity"	0.0410352
"water company"	0.0409887
bottlers	0.0409551
"day camp"	0.0408596
"two lines"	0.0408278
"securities business"	0.0408051
"law practice"	0.0407476
CNPC	0.0406878
Bathhouse	0.040665
firewalls	0.0406196
"fire wall"	0.0406156
"gift shop"	0.0406017
smelters	0.0405934
"nonstop flight"	0.040566
"general store"	0.0405476
ISPs	0.040488
turbine	0.0403871
shipper	0.0403749
"brokerage account"	0.0403705
"House Democrats"	0.0403574
Tsvangirai	0.0402076
"football season"	0.0401422
))
("bus route" (desc 1948.72) (sims
"bus line"	0.122251
"bus service"	0.10964
B-@s	0.0962254
Tram	0.0751226
"gambling casino"	0.07234
Hotlines	0.0715953
"shuttle bus"	0.0710108
tractor-trailers	0.0682265
"passenger train"	0.0651418
Supercenters	0.0649617
registrant	0.0647989
"international flight"	0.0642401
takeaways	0.0604562
"telephone line"	0.0594918
A@@@s	0.0580512
around-the-clock	0.0579549
crewmembers	0.0576442
"branch office"	0.057442
"bus company"	0.0565003
"delivery service"	0.0554665
"phone system"	0.0546396
"telephone booth"	0.0544004
Buss	0.053643
aldermen	0.0536
"All-Star Games"	0.0529501
"transmission line"	0.0529112
"car door"	0.0528149
"major league season"	0.0527292
"residence hall"	0.0525829
homepages	0.0525563
EPZ	0.0520378
expressway	0.051613
"hunting season"	0.0510543
"African Union"	0.0510476
Concordes	0.050857
"heavy hitter"	0.0507531
motorway	0.0507162
minibuses	0.0506754
"production line"	0.0503851
faceoffs	0.0501746
"domed stadium"	0.0501638
"fire truck"	0.050116
"access road"	0.0499907
"highway system"	0.0495511
"telephone network"	0.049476
homepage	0.0494394
"hot line"	0.0490454
megaplexes	0.0490399
"service station"	0.0487448
streetlight	0.0487252
"domestic flight"	0.0486551
"railway line"	0.0485822
"retail operation"	0.0485029
"fiber optic cable"	0.0484454
"sea lane"	0.0484139
"retail store"	0.0483176
"communications network"	0.0483138
"reserve fund"	0.0480237
mushers	0.0479709
"supply route"	0.0479185
"container ship"	0.0478434
"observation post"	0.0478147
"express train"	0.0477835
"area code"	0.0477537
"nonstop flight"	0.0476739
"trunk line"	0.0476739
"employment agency"	0.0476427
"tax bracket"	0.0475763
"garbage truck"	0.0475705
"day camp"	0.0473345
"credit line"	0.0472532
livery	0.0471535
"exhibition hall"	0.047136
"tool kit"	0.0470536
member-states	0.0468827
"fire engine"	0.046872
videophone	0.046844
sleuthing	0.0467119
"tax advantage"	0.046681
"international criminal court"	0.0465301
"French door"	0.0464002
"major-league team"	0.0463026
"Miller Park"	0.0460271
spacewalks	0.0459387
databank	0.0458334
"chain store"	0.045826
"free zone"	0.0458237
"purchase contract"	0.0457461
frontlines	0.0457384
"incentive program"	0.0455339
"industrial park"	0.0455028
"railway system"	0.0454278
"communication network"	0.0452461
notary	0.0451226
crematorium	0.0449436
monorail	0.0449386
"bank rate"	0.044857
"ticket office"	0.0447333
kiosk	0.0446986
"American plane"	0.0445247
"annual payment"	0.0445069
skyboxes	0.0444567
"gasoline tax"	0.0443401
"department head"	0.0443284
VMs	0.0441722
functionality	0.0439581
"benefit program"	0.0439243
"tax treatment"	0.043913
"freight car"	0.0437036
MD-@@s	0.043656
ECNs	0.0434811
"reading program"	0.0433932
"educational activity"	0.0433799
ISPs	0.0433135
chalet	0.0432713
"African Economic Community"	0.0432356
"power unit"	0.0431959
cantons	0.0431912
"line of credit"	0.0426562
"Kuala Lumpur International Airport"	0.0426369
runnings	0.0426279
"dry cleaner"	0.0425901
monies	0.0425186
"water project"	0.0425146
"suspension bridge"	0.0423958
"running play"	0.042384
taskforce	0.0423508
pushup	0.0420325
incinerator	0.0420254
"production ceiling"	0.0419874
"service agency"	0.0419683
"petrol station"	0.0418951
EPZs	0.0417811
baserunners	0.041705
ump	0.0416823
obeisance	0.041638
"political detainee"	0.0416154
"sales outlet"	0.0416151
"clearing house"	0.0416038
"secondary school"	0.0415952
"Memorial Hall"	0.0415268
"base runner"	0.0414635
great-grandchildren	0.0414358
Streetcar	0.041418
"job cut"	0.0413697
Unicom	0.041272
"parking space"	0.0412604
"Land Cruiser"	0.0412556
starts.	0.0412285
bogie	0.0411632
no-decisions	0.0411621
Bathhouse	0.04108
flack	0.0410752
"social activity"	0.0407985
"merchant bank"	0.0407342
"two units"	0.0405884
time-trial	0.040584
"sugar refinery"	0.04055
Acela	0.0405225
"Chevrolet Monte Carlo"	0.0404437
"ASEAN Free Trade Area"	0.040414
"Ministerial Conference"	0.0403998
"manufacturing plant"	0.0403888
"pilot program"	0.0403207
"Hong Kong International Airport"	0.0402949
"relay stations"	0.0402796
receptivity	0.0402263
signees	0.0401736
"gasoline station"	0.0401588
enlistee	0.040083
"retail chain"	0.0400108
))
("bus service" (desc 8549.07) (sims
"bus line"	0.123313
"bus route"	0.10964
"shuttle bus"	0.0914003
bus	0.0855455
"Macao International Airport"	0.0788341
trolley	0.0763552
"domestic flight"	0.0760536
transportation	0.0755102
"rail line"	0.0751634
ferry	0.0749166
"telephone service"	0.0735455
Tram	0.0734412
"air travel"	0.0728301
"international flight"	0.0715184
"phone service"	0.0711815
"public transport"	0.0705772
railway	0.0689624
"bus fare"	0.0662924
subway	0.0657856
"bus company"	0.0650377
"nonstop flight"	0.0644354
"express train"	0.0629036
"highway system"	0.0615195
rail	0.0611749
"railway line"	0.0609572
"training program"	0.0604806
"passenger train"	0.0598638
FTA	0.0594929
"commuter train"	0.0593361
expressway	0.0583858
"bus driver"	0.0559333
"hot line"	0.0558416
airlift	0.0558415
navigation	0.0557541
"transportation system"	0.0556388
"Ministerial Conference"	0.0554898
"fishing season"	0.0546327
"trade route"	0.0545052
hotline	0.0536288
"data link"	0.0535532
"gambling casino"	0.0535326
"telephone system"	0.0530441
taxi	0.0522375
transit	0.0520849
shuttle	0.0513329
minibus	0.0511286
"Indian High Commission"	0.0509989
"pilot program"	0.050997
Services	0.0509885
"garbage truck"	0.0509604
"health service"	0.0508928
"garbage collection"	0.0508209
pullback	0.0507475
repatriation	0.0507447
"Market system"	0.0504784
"railway system"	0.0503623
shipping	0.0502604
"city bus"	0.0501903
"hunting season"	0.0498143
"tool kit"	0.0497391
mini-buses	0.0495582
"education program"	0.0492438
pipeline	0.049094
disengagement	0.0490336
"ad blitz"	0.0489631
"telephone network"	0.0488755
"communications service"	0.0486479
linkage	0.0485905
"communications satellite"	0.0481334
metro	0.0480532
"travel plan"	0.0475247
"railroad line"	0.0474213
"bus ticket"	0.0472785
railroad	0.047197
"mass transit"	0.0471449
"health check"	0.0467974
long-distance	0.0466912
dialog	0.0462705
"water supply"	0.0461457
"credit system"	0.0460226
"train ticket"	0.0455958
"communications network"	0.0455083
"industrial park"	0.0452603
"social service"	0.0451832
"labor contract"	0.0451728
ceasefire	0.0450302
taxicab	0.0448844
"insurance business"	0.0448606
minibuses	0.0448315
pullout	0.0447908
"arms deal"	0.0445364
redeployment	0.044536
"power grid"	0.0443971
"cruise ship"	0.0443885
"incentive program"	0.0442644
"bond issue"	0.0441779
"military drill"	0.0441703
"summit meeting"	0.0440303
"business activity"	0.0439619
A@XX	0.0439255
"communication network"	0.0437988
"trading system"	0.0437625
Website	0.0434691
"postal service"	0.043426
hookup	0.0432064
"information service"	0.0431918
"delivery service"	0.0431502
"water project"	0.0429655
"business relation"	0.0429045
screening	0.0426228
"data system"	0.0425268
"investment climate"	0.0423882
"arms race"	0.0423475
"military campaign"	0.0423186
"environmental condition"	0.0422385
incinerator	0.0421702
pumping	0.0421172
"bus terminal"	0.0420051
accommodation	0.0419876
polling	0.0419226
"basketball season"	0.0418615
"software product"	0.041768
cease-fire	0.0417088
"military training"	0.0415454
jubilee	0.0414637
demarcation	0.0413289
"safety measure"	0.0412317
excursion	0.0411786
"educational program"	0.0411703
rationing	0.0411154
"football season"	0.0410957
"oil pipeline"	0.0408752
sanitation	0.0408395
"customer service"	0.040795
"trunk line"	0.0406001
"traffic light"	0.0405512
"dental care"	0.0404557
smelter	0.0404425
travelling	0.0403429
"export credit"	0.0402184
"religious service"	0.0402018
Mini-bus	0.0402
booking	0.0401657
truce	0.0401337
corroboration	0.0400798
"baseball season"	0.0400533
"African Union"	0.0400208
))
("bus station" (desc 8827.46) (sims
"bus terminal"	0.203689
"bus stop"	0.187694
"railway station"	0.129344
"shopping mall"	0.116413
"train station"	0.115616
"shopping center"	0.109844
"police station"	0.105716
"railroad station"	0.103133
intersection	0.0895554
"subway station"	0.087069
"dance hall"	0.0867608
"post office"	0.08377
"movie theater"	0.0830898
mall	0.0813735
"coffee shop"	0.0800115
"office building"	0.0788695
"open-air market"	0.0784873
checkpoint	0.0775265
mosque	0.077225
subway	0.0767401
"gas station"	0.0766997
"truck stop"	0.0765273
depot	0.0745476
barrack	0.0730938
Warehouse	0.0728682
terminal	0.0725221
airfield	0.0701842
"street corner"	0.0700449
cafe	0.0699754
"conference center"	0.0696338
"polling station"	0.0669287
dock	0.0665951
motel	0.0653833
plaza	0.0651606
bazaar	0.0650602
"parking lot"	0.0650197
"liquor store"	0.0648975
thoroughfare	0.0632242
"department store"	0.0631471
motorway	0.0623444
"repair shop"	0.0618651
mortuary	0.0616091
supermarket	0.0615324
"power station"	0.0603533
nightclub	0.0602265
morgue	0.0599864
courthouse	0.059887
"car park"	0.0598828
"rail line"	0.059443
"bus line"	0.0594083
cafeteria	0.0593519
"residential district"	0.0586262
"abortion clinic"	0.058485
"exhibition hall"	0.0583509
"station house"	0.0582649
"recreational facility"	0.058096
garage	0.0580213
"business district"	0.0578721
"convenience store"	0.057849
"fire station"	0.057757
"city hall"	0.0577174
"community center"	0.0575
wharf	0.0572465
"traffic circle"	0.0571835
cemetery	0.056827
"holding cell"	0.0562599
junction	0.0561653
"grocery store"	0.0560593
"water system"	0.0560442
underpass	0.0559765
boulevard	0.055905
harbour	0.0558451
pub	0.055467
pier	0.0553335
discotheque	0.0553278
tavern	0.0548544
clinic	0.0541922
"ticket office"	0.0537731
"waiting room"	0.0534842
"oil refinery"	0.0533396
"petrol station"	0.0529986
airstrip	0.0528449
"Centennial Olympic Park"	0.0527472
"ice rink"	0.0526954
"apartment building"	0.0522845
"military headquarters"	0.0521054
"police headquarters"	0.0519373
"pizza parlor"	0.0518663
synagogue	0.0518134
seaport	0.0517412
"ring road"	0.0513746
"Manger Square"	0.0513455
cinema	0.0511758
bookstore	0.0511074
auditorium	0.0510465
"botanical garden"	0.0510212
campsite	0.0509979
playground	0.050949
"elementary school"	0.0508729
"hardware store"	0.0507053
crossing	0.0506872
lounge	0.0505857
campgrounds	0.0505222
restroom	0.0503082
saloon	0.0501765
"specialty store"	0.049877
sidewalk	0.0498034
"movie house"	0.049709
"amusement park"	0.0496624
zoo	0.049547
multiplex	0.0495221
airbase	0.0493608
roadblock	0.0493583
armory	0.0492958
"retail store"	0.049186
"gift shop"	0.0491409
"filling station"	0.0490616
"flea market"	0.048932
"housing development"	0.0489299
"main street"	0.0487886
"domed stadium"	0.0487302
"U.S. Embassy"	0.0485717
"subway train"	0.0485476
ballroom	0.0483693
deli	0.0483438
dispensary	0.0483015
"skating rink"	0.0482336
"hotel room"	0.0479683
coffeehouse	0.047943
"industrial park"	0.0477077
"army base"	0.0476225
"ball field"	0.047474
"football stadium"	0.0473976
"art gallery"	0.047203
"vacant lot"	0.047198
"access road"	0.0470292
"sewer system"	0.0470163
"about @:@@"	0.046569
Alley	0.0465538
freeway	0.0465108
"town hall"	0.0462182
"music hall"	0.0461634
slaughterhouse	0.0461569
"place of worship"	0.0461521
"power plant"	0.0460576
"office block"	0.0458645
showroom	0.0458643
"Dulles International Airport"	0.045804
"gasoline station"	0.0457122
"entertainment center"	0.0453762
dormitory	0.0453272
viaduct	0.0452875
"military installation"	0.0452832
godown	0.0451729
"bus fare"	0.0451691
"port of entry"	0.0450986
"day care center"	0.0450796
"telephone exchange"	0.0450559
gymnasium	0.0450029
expressway	0.0449827
"railroad line"	0.0448862
"boarding house"	0.0448858
railway	0.0448418
gymnasiums	0.044828
"shooting range"	0.0447879
"concert hall"	0.0446291
high-rise	0.044592
campground	0.0445474
"polling place"	0.0441411
mansion	0.0440465
"water tower"	0.0440459
"nursery school"	0.0440381
"military post"	0.0438753
"mental hospital"	0.0436643
bakery	0.0436565
"bowling alley"	0.0435742
drugstore	0.0433263
skyscraper	0.043286
"Andrews Air Force Base"	0.0432651
arcade	0.0432007
"Los Angeles International Airport"	0.0430902
aquarium	0.0430862
"holiday resort"	0.0430766
parlor	0.042906
"police precinct"	0.0428963
"chain store"	0.0428815
"air base"	0.0427563
"trunk road"	0.0427247
superhighway	0.0427041
"Tiananmen Square"	0.0427024
"bomb shelter"	0.0425471
schoolyard	0.0425117
"emergency room"	0.0424408
"conference room"	0.0423559
dealerships	0.0421643
"city bus"	0.0419701
"command post"	0.0418548
"passenger train"	0.0418415
shrine	0.0418288
amphitheater	0.0417286
))
("bus stop" (desc 10385.8) (sims
"bus station"	0.187694
"bus terminal"	0.150903
"subway station"	0.110597
"railway station"	0.100308
intersection	0.0998518
"post office"	0.0985766
"train station"	0.0932392
"shopping center"	0.0930144
"gas station"	0.0917239
"police station"	0.0898179
mosque	0.0872474
checkpoint	0.0828353
"polling station"	0.0816334
"shopping mall"	0.079522
dock	0.0761399
"fire station"	0.0755731
"coffee shop"	0.0752652
junction	0.0750885
"railroad station"	0.0745673
"petrol station"	0.0740656
YMCA	0.074046
airfield	0.0714496
"Ben-Gurion Airport"	0.0713012
"office building"	0.0702222
"traffic circle"	0.0670045
"convenience store"	0.0659406
motel	0.0658711
terminal	0.065108
"grocery store"	0.0644456
"repair shop"	0.0636271
roadblock	0.0631993
"polling place"	0.0631134
"subway train"	0.0624088
"community center"	0.062325
depot	0.0620255
booth	0.0618551
"filling station"	0.0617801
cafe	0.06146
"parking lot"	0.0605902
plaza	0.0602858
residence	0.0602031
mall	0.0599792
"army base"	0.0596573
"elementary school"	0.0588881
"street corner"	0.0587227
barrack	0.0585271
"Holiday Inn"	0.0575144
courthouse	0.057304
stoplight	0.0571308
"about @:@@"	0.0569667
Warehouse	0.0569592
underpass	0.0566598
"liquor store"	0.0566568
supermarket	0.056591
cafeteria	0.0564031
"parking area"	0.0563099
subway	0.0562854
"dance hall"	0.0558696
"car park"	0.0555879
"amusement park"	0.0553205
"movie theater"	0.0552855
"apartment building"	0.055111
crosswalk	0.0550248
crossing	0.0545872
"open-air market"	0.0544607
hostel	0.054275
cemetery	0.0541843
synagogue	0.0540413
"commuter train"	0.0538951
kiosk	0.0538403
"North Valley Jewish Community Center"	0.0536146
pub	0.0531416
"oil refinery"	0.052509
"department store"	0.0524668
"city bus"	0.0523796
nightclub	0.0522159
"service station"	0.0519564
playground	0.0519106
taxicab	0.0515719
sidewalk	0.0510038
"shooting range"	0.0509736
"truck stop"	0.0509311
campgrounds	0.0509068
clinic	0.0502871
stalls	0.0502199
"conference center"	0.0501386
"jewelry store"	0.0500285
"air base"	0.0497416
shrine	0.0496068
"Pennsylvania Station"	0.0491599
tavern	0.0490771
"Heritage High School"	0.0489302
campsite	0.0488831
"Columbine High School"	0.0488545
airstrip	0.0486612
outpost	0.0485929
"military hospital"	0.0485514
culvert	0.048406
"gas line"	0.0484038
"Grand Central Terminal"	0.0483392
temple	0.0483191
MCDONALD's	0.0482895
thoroughfare	0.0482488
taxi	0.0480778
"traffic light"	0.0479779
"polling booth"	0.0478958
"abortion clinic"	0.0478323
salon	0.0474886
restroom	0.0473867
"tennis club"	0.0472213
walkway	0.047159
"gasoline station"	0.0467082
"coffee bar"	0.0465779
hut	0.0465523
"day care center"	0.046546
"hotel room"	0.0465303
discotheque	0.0465189
substation	0.0464167
"picnic area"	0.0463823
flyover	0.0459499
"pedestrian bridge"	0.0457676
"U.S. Embassy"	0.0455926
headquarters	0.0454168
bazaar	0.045345
"residential district"	0.0453178
elevator	0.0452232
morgue	0.0451998
orphanage	0.0451553
freeway	0.0451521
bookstore	0.0451116
dormitory	0.0450493
gymnasium	0.0448515
viaduct	0.0447966
"holding cell"	0.0447417
"Al-Aqsa Mosque"	0.0445452
landfill	0.0444815
Fillmore	0.0443212
refinery	0.0443004
"civic center"	0.0442976
garage	0.0440294
cinema	0.0438468
auditorium	0.0438194
pier	0.0438059
diner	0.0436064
midcourt	0.0435021
"dry cleaner"	0.0434978
"military headquarters"	0.0434501
"Hilton Hotel"	0.0434318
"Olympic Park"	0.0433155
altar	0.0431908
"power station"	0.0431582
"vacant lot"	0.043115
"row house"	0.0429576
"police precinct"	0.0428713
alleyway	0.0428225
high-rise	0.042753
"rail line"	0.0425439
"Al Aqsa Mosque"	0.0425005
"football stadium"	0.0424587
"flea market"	0.0423717
"front door"	0.0423651
"parking space"	0.0423641
overpass	0.042344
deli	0.0423218
"World Trade Center"	0.0422875
"house of worship"	0.0421081
footpath	0.0419833
"access road"	0.0419597
"art gallery"	0.0419591
"Hong Kong International Airport"	0.0419321
"power plant"	0.0417785
Starbucks	0.0417392
arcade	0.0416967
"Kai Tak"	0.0415842
hilltop	0.0415183
gym	0.0413934
"boarding house"	0.0412991
"ranch house"	0.0412926
airbase	0.0412651
billboard	0.0412428
"work camp"	0.0412033
crossroad	0.0411597
storefront	0.0410481
"tourist hotel"	0.0408667
"Dulles International Airport"	0.040729
wharf	0.0406982
"Stade de France"	0.040652
"watering hole"	0.0406039
campground	0.0405778
passageway	0.0404717
"gambling casino"	0.0404494
"garbage dump"	0.0404199
"home plate"	0.0403974
boulevard	0.040292
Bathhouse	0.0402653
lamppost	0.0401465
"mobile home"	0.0400721
))
("bus terminal" (desc 4244.33) (sims
"bus station"	0.203689
"bus stop"	0.150903
"railway station"	0.117701
"subway station"	0.116447
"railroad station"	0.0972927
"subway train"	0.0914485
"train station"	0.09076
"shopping center"	0.0897976
"post office"	0.0889253
"gambling casino"	0.0857082
intersection	0.0830906
"shopping mall"	0.0808998
"office building"	0.0798033
"street corner"	0.0751497
subway	0.0736273
"Centennial Olympic Park"	0.0726543
"repair shop"	0.0714537
depot	0.0703846
"traffic circle"	0.0703234
"Hong Kong International Airport"	0.0702904
"open-air market"	0.0699209
"World Trade Center"	0.067758
taxicab	0.0672786
"movie theater"	0.0669615
"bus line"	0.0651422
"transportation system"	0.0647489
"business district"	0.0646143
"police station"	0.0640528
nightspots	0.0639961
"seating area"	0.0638706
"Plaza Hotel"	0.0637667
"abortion clinic"	0.0636298
"public toilet"	0.0636008
"Logan International Airport"	0.0633812
"fire station"	0.0628716
"apartment building"	0.0625027
"movie house"	0.0619211
"Hilton Hotel"	0.0613322
tavern	0.0611022
"gas station"	0.0610357
"ring road"	0.061031
Tram	0.0608948
"coffee shop"	0.060864
"convenience store"	0.0604225
"United States Embassy"	0.0599462
high-rise	0.0599376
motorway	0.0599137
"car park"	0.0597889
"liquor store"	0.0587464
delicatessen	0.0585669
"vacant lot"	0.0582639
skyscraper	0.0578917
"power station"	0.0578317
Streetcar	0.0575344
discotheque	0.0573483
thoroughfare	0.0571873
"oil refinery"	0.0570674
"dance hall"	0.0569364
"market town"	0.0568294
"Los Angeles International Airport"	0.0567235
nightclub	0.0566031
"public transport"	0.0562358
"clothing store"	0.0560767
pier	0.05597
"power plant"	0.0559419
"police precinct"	0.0559398
dispensary	0.0557066
plaza	0.0553069
trolley	0.0546896
airfield	0.0545064
"farmer's market"	0.0542884
junction	0.0540908
"department store"	0.0538725
mosque	0.0536921
"polling station"	0.0535144
"rail line"	0.0532038
"about @:@@"	0.053022
arcade	0.0527986
bazaar	0.0527869
"business establishment"	0.0525815
motel	0.0524053
underpass	0.0521198
pub	0.051676
"boarding house"	0.0516292
mini-buses	0.0512843
"telephone exchange"	0.0511554
boulevard	0.0510218
disco	0.0510208
"passenger train"	0.0509179
hostel	0.0507433
"Newark International Airport"	0.0506373
"water tower"	0.0503297
"Olympic Park"	0.0501895
"trunk road"	0.0496856
"petrol station"	0.0496488
"art gallery"	0.0492199
"Mount Sinai Medical Center"	0.0492108
"Brandenburg Gate"	0.0491853
"water system"	0.0491651
eateries	0.0490574
showroom	0.0489005
viaduct	0.0488065
slum	0.048734
morgue	0.0485332
"service station"	0.0482616
metro	0.0481477
"grocery store"	0.0478558
"U.S. Embassy"	0.047458
"air base"	0.0473926
"bus ticket"	0.0473706
"community center"	0.0468202
"watering hole"	0.0466675
"bus company"	0.0466107
firehouse	0.0464626
"parking area"	0.0464284
"tea house"	0.0462578
saloon	0.0461366
"Waldorf-Astoria Hotel"	0.0460624
ballroom	0.0456765
"about @@:@@"	0.0455999
"Potala Palace"	0.0455227
"skating rink"	0.0455083
substation	0.0454403
"civic center"	0.0454149
airstrip	0.045286
pizzeria	0.045192
"telecommunication system"	0.0447719
"commencement ceremony"	0.0447655
"sewer system"	0.0446074
"medical center"	0.0441813
"office space"	0.0441271
"traffic jam"	0.0440016
guesthouse	0.0439229
"trading floor"	0.0438869
"bowling alley"	0.0438753
"commuter train"	0.0437852
"elementary school"	0.043779
emporium	0.0436857
"Pudong International Airport"	0.0436815
interstates	0.0436291
"waiting room"	0.0436146
sub-branches	0.0435605
"holding cell"	0.0433383
deli	0.0430968
Steakhouse	0.0430687
"railway system"	0.0430638
"branch office"	0.0430615
Chinatown	0.0429967
"polling booth"	0.0429015
precinct	0.0426244
"army base"	0.042612
"butcher shop"	0.0426054
kennel	0.0424543
"Grand Central Terminal"	0.0424182
expressway	0.0424155
"communications network"	0.0423811
"Myanmar Embassy"	0.0422293
"chain store"	0.0420503
minibuses	0.0420175
"bus service"	0.0420051
"Pennsylvania Station"	0.0419379
"recording studio"	0.0419072
"Johannesburg International Airport"	0.0419027
"Kennedy International Airport"	0.0417964
"bus fare"	0.0417296
"flea market"	0.0414286
nightspot	0.0413917
orphanage	0.0413651
tenement	0.0413424
"town hall"	0.0411474
"Mount Sinai Hospital"	0.0410993
stalls	0.040944
"beauty salon"	0.0409369
"port of entry"	0.0407505
"Hartsfield International Airport"	0.0406706
"residential district"	0.0406373
walkway	0.0405237
drugstore	0.0404259
Marina	0.0404046
harbour	0.0404021
"power grid"	0.0403502
"private school"	0.0403069
"criminal court"	0.0402252
"tourist hotel"	0.0402192
"tennis club"	0.0402044
"central office"	0.040172
"Sheraton Hotel"	0.0400875
))
("bus ticket" (desc 1510.78) (sims
"train ticket"	0.231989
"plane ticket"	0.160809
"bus fare"	0.145514
"round-trip ticket"	0.119897
"membership card"	0.088949
"birthday card"	0.0876209
"airplane ticket"	0.0849889
"Christmas present"	0.072343
co-payment	0.0663574
"entrance fee"	0.0633313
bouquet	0.0621962
sparkler	0.0619714
"theater ticket"	0.0618891
"elbow room"	0.0614371
"personal letter"	0.0609498
airfare	0.0591957
"bus line"	0.0586255
"hypodermic needle"	0.0578488
"nonstop flight"	0.0566349
"controlling interest"	0.0565223
"fishing license"	0.056245
"clean slate"	0.056086
printout	0.056066
"breathing room"	0.0559933
"business card"	0.0557082
IOU	0.05424
"equity stake"	0.0533548
"test drive"	0.053259
"mosquito net"	0.0529511
"car insurance"	0.0528203
"progress report"	0.0527055
smooch	0.0522428
sport-utility	0.0520613
fillip	0.0509871
"Rolls-Royce Motor Cars"	0.0509354
"summer house"	0.0506084
knickknack	0.0500058
"domestic flight"	0.0499599
"local call"	0.0497873
"power of attorney"	0.0497037
toupee	0.0496909
"Tele-Communications Inc."	0.0487186
"utility program"	0.0485207
"speeding ticket"	0.0484673
breather	0.0481604
"cold shoulder"	0.0479004
HARDCOVER	0.0478036
"fish fry"	0.0477035
"bus terminal"	0.0473706
"bus service"	0.0472785
"sheet of paper"	0.0471296
stub	0.0466823
"money order"	0.0466717
horoscope	0.0457562
"love letter"	0.0456128
"ticket stub"	0.0454515
"season ticket"	0.0453922
wristband	0.0452737
"parking ticket"	0.0452036
"shuttle bus"	0.0451867
trinket	0.0451046
emulator	0.045101
"preferred shares"	0.0449855
Furbys	0.0448059
"dental care"	0.0447498
"piece of land"	0.0447181
"piece of paper"	0.0447039
skyboxes	0.0446408
"Hail Mary"	0.0446132
"white flag"	0.0445219
"water buffalo"	0.0445136
"Beanie Baby"	0.0443065
"software product"	0.0442919
"Christmas card"	0.0442423
"street sign"	0.0440787
roundtrip	0.044009
memento	0.0435353
"sports equipment"	0.0433869
"calling card"	0.0432219
jamboree	0.0431904
fishbowl	0.0430225
"box seat"	0.0429845
"tool kit"	0.0424725
"blank check"	0.0424057
croissant	0.0420195
"about @@,@@@ acres"	0.0416923
"silver dollar"	0.041549
"form letter"	0.0414276
Lamborghini	0.0412869
"baseball card"	0.0412316
"birthday gift"	0.0412268
"day of rest"	0.0412229
"hunting knife"	0.0412088
"surface-to-air missile"	0.0411177
Orangina	0.0408059
freebie	0.0407665
"time clock"	0.0407488
tranquilizer	0.0405182
"sneak preview"	0.0403122
"management fee"	0.0402856
))
(busboy (desc 3261.62) (sims
bellhop	0.184209
waiter	0.150691
bartender	0.149926
waitress	0.140854
hostess	0.109219
doormen	0.105405
chambermaid	0.104549
stewardess	0.102255
cashier	0.101496
maid	0.0986503
chef	0.0963407
housekeeper	0.0901019
dishwasher	0.0885004
attendant	0.0845104
clerk	0.0830107
chauffeur	0.0818447
"kitchen sink"	0.0783893
"house painter"	0.0751905
gardener	0.0750281
janitor	0.0741485
concierge	0.0736807
"maintenance man"	0.0723497
bouncer	0.0722653
receptionist	0.0719092
seamstress	0.0716289
cabby	0.0694339
"truck driver"	0.0682111
steward	0.0670178
"shop assistant"	0.0648296
cleaner	0.0640735
sommelier	0.0637014
nanny	0.0629334
copywriter	0.0628015
sportswriter	0.0616424
"account executive"	0.0612195
housemaid	0.0610858
stripper	0.0603463
apprentice	0.057903
"day laborer"	0.0573737
electrician	0.0569772
"volleyball player"	0.0564818
welder	0.0563742
valet	0.0562395
handyman	0.0561736
lifeguard	0.0558371
paralegal	0.0557137
cameraman	0.0553586
doorman	0.0550773
Porter	0.0550408
bookkeeper	0.0550044
trainee	0.0543966
deliverer	0.0535435
helper	0.0534223
O'Sullivan	0.0533402
temp	0.0523438
banger	0.0523101
"copy editor"	0.0521681
servant	0.0512856
"call girl"	0.0496969
salespeople	0.0496056
custodian	0.049414
pallbearer	0.0490454
salesmen	0.0489258
hairdresser	0.0485909
"disc jockey"	0.0484874
kayaker	0.0481579
caddie	0.0480263
"altar boy"	0.0480145
stuntman	0.0468297
first-rounder	0.0466949
walk-on	0.0466599
sorter	0.0460287
teller	0.045861
"bus driver"	0.0458524
animator	0.0455495
Steakhouse	0.0455325
"elevator operator"	0.0454032
"draft dodger"	0.0448729
caterer	0.0447341
groundskeeper	0.0446992
bridegroom	0.0444568
stockbroker	0.0443252
organist	0.0435929
"men's room"	0.0434294
"big leaguer"	0.0429779
"factory worker"	0.0429587
stevedore	0.042948
sportscaster	0.042904
picker	0.0427847
"Nearly @@@ miles"	0.0426397
fisherman	0.042565
vaulter	0.0424016
plumber	0.0423403
"world traveler"	0.0421589
chemist	0.041903
stagehand	0.0415818
bricklayer	0.0412725
"graphic artist"	0.0409867
"good person"	0.0408384
Wendell	0.0405822
"dock worker"	0.0400579
"important person"	0.0400257
))
(Busch (desc 7837.23) (sims
"Busch Grand National"	0.314817
"Busch Series"	0.220217
"Winston Cup"	0.187746
"NASCAR Winston Cup"	0.182123
"Grand National"	0.159741
IRL	0.131028
"Indy Racing League"	0.115744
"Funny Car"	0.104672
"World Championship"	0.102686
NHRA	0.101079
"stock car"	0.0986985
"Championship Auto Racing Teams"	0.0983269
"Top Fuel"	0.0941366
"first cup"	0.0902437
Indy	0.0900794
Dorismond	0.0894149
superspeedway	0.0843801
"Le Mans"	0.0840602
Brickyard	0.0820744
Webdale	0.0819771
"Central Division"	0.0819199
"Daytona @@@"	0.08001
Ricart	0.0793291
bobsled	0.0791849
Slepian	0.0790013
NASCAR	0.0788301
"NFC East"	0.0785682
"American League West"	0.0765082
"European Tour"	0.0759539
"Brickyard @@@"	0.0756325
"Golden League"	0.0751136
cart	0.0747565
"Pepsi @@@"	0.074511
"National League West"	0.0744112
F@	0.0736314
"Indy @@@"	0.0734251
LPGA	0.0731496
Super-G	0.0713103
O'Hara	0.0710145
Baez	0.0703083
Diallo	0.0699579
Winston	0.0699398
Hartman	0.0697455
"ski jumping"	0.0693963
"Grand Prix"	0.0691105
Kirby	0.0690299
"AFC West"	0.0676975
krueger	0.0676266
RFK	0.0670351
slalom	0.0663341
luge	0.065336
"AFC Central"	0.0653262
WCC	0.0652205
"NL West"	0.0651507
"first five"	0.0647128
Kurth	0.0643384
Iditarod	0.0642328
Safeco	0.064108
Dahmer	0.0641024
"Boston Marathon"	0.0638503
"NL Central"	0.0638476
triathlon	0.0629708
"Eastern Division"	0.0628918
Wasserstein	0.0627017
"National League East"	0.0625755
Yoon	0.0619462
"Pan Pacific"	0.0618156
"Oak Tree"	0.0616633
Ironman	0.0616525
"NFC West"	0.0614728
"won seven"	0.0614429
powerboat	0.0611848
Kurtz	0.0611711
Nasrin	0.0610991
"Big East"	0.0607684
"London Marathon"	0.0606385
Yates	0.0602551
"won six"	0.0599463
Fahey	0.0598031
"AL Central"	0.0594954
"first nine"	0.0594481
JonBenet	0.0591516
Goldstein	0.0590632
"won four"	0.0590362
"Big Sky Conference"	0.0589338
"British Grand Prix"	0.0589218
Atkinson	0.0588596
top-@@	0.0587284
Boardman	0.0586183
hardcourt	0.0585477
steeplechase	0.0584338
"Santa Anita Derby"	0.0584238
"National League Central"	0.0584153
"National League"	0.0581025
Holzman	0.0578201
"American League East"	0.0578124
EuroLeague	0.0576883
"quarter horse"	0.0576813
Pamela	0.05723
"Copa America"	0.0571626
cruiserweight	0.0571288
"sled dog"	0.05703
Lawler	0.056846
"Busch Stadium"	0.0568303
NL	0.056559
"AFC East"	0.0562704
Mortimer	0.0562123
"first six"	0.0561584
"Senior PGA Tour"	0.0561506
F-@	0.0560485
snowboard	0.0559163
"first four"	0.0559089
marathon	0.0558991
Biko	0.0557886
bock	0.055732
"won three"	0.0554689
"Western Conference"	0.0554345
Menchu	0.0553807
"NFC Central"	0.0551898
Ryder	0.0551632
Ileto	0.0549783
A.L.	0.0549142
Mayer	0.0548628
Weston	0.0548034
Starovoitova	0.054505
Nilsson	0.054165
"AL West"	0.0541429
Benton	0.0540978
"mountain bike"	0.0540969
Fiorina	0.0540867
Guerin	0.0539684
"Patrick Dorismond"	0.0538685
Abram	0.0538
constructor	0.0534237
"triple crown"	0.0532963
Penske	0.0532081
Bundesliga	0.0530834
Daytona	0.0530518
"County Stadium"	0.0529175
"American League"	0.0528719
Keenan	0.0527846
Berenson	0.0527379
"NL East"	0.0527347
Roush	0.0526542
biathlon	0.0525506
Sim	0.0525202
Byrd	0.0524138
"Big West"	0.0522622
Stayner	0.0522259
Capano	0.0518334
Timmy	0.0516813
"won five"	0.0516324
backstroke	0.0516211
"first seven"	0.0515827
Salinger	0.0515079
ATP	0.0514642
"SEC East"	0.0514283
"Polo Grounds"	0.0514247
snowplow	0.0513422
nonconference	0.0511314
Rossi	0.0510935
Shepard	0.0510773
"first three"	0.0510061
Silverman	0.0509617
Sixteen	0.0509488
"Kentucky Derby"	0.0509124
Dwyer	0.0506672
"cross country"	0.0506621
Huber	0.0506602
Byrne	0.0506538
Bulatovic	0.0504894
Merritt	0.0504588
"won eight"	0.0504322
Tilberis	0.0504069
"Big @@"	0.0503767
"Camden Yards"	0.0503536
Matthews	0.0502968
WTA	0.0502331
Greene	0.0502057
"Enron Field"	0.0501642
"Japanese Grand Prix"	0.0501021
top-class	0.0500544
Gathers	0.0500395
Roberson	0.0500149
"three-day event"	0.0499969
Levin	0.0498782
Dench	0.0498638
"Pacific Division"	0.0498514
Vasquez	0.0498279
Abiola	0.0498094
Hendrick	0.0497855
Loudon	0.0497069
"College World Series"	0.0496363
Chevy	0.0495567
Carmichael	0.0495353
freestyle	0.0495105
Oliveira	0.0494738
Pape	0.0494522
Samuelson	0.0494215
Markovic	0.0492626
))
("Busch Grand National" (desc 1927.45) (sims
"NASCAR Winston Cup"	0.330261
Busch	0.314817
"Busch Series"	0.292596
"Winston Cup"	0.265942
"Grand National"	0.244634
"Indy Racing League"	0.229317
"Top Fuel"	0.195079
"Funny Car"	0.190987
IRL	0.17956
"World Championship"	0.174754
NHRA	0.173805
"Championship Auto Racing Teams"	0.163441
"stock car"	0.157239
"Le Mans"	0.144711
"first cup"	0.139765
"Golden League"	0.135856
"National League West"	0.127275
bobsled	0.119968
Brickyard	0.119933
luge	0.118621
superspeedway	0.118151
WTA	0.117851
Ironman	0.116058
"American League West"	0.112118
F@	0.111438
"AFC Central"	0.109521
"Central Division"	0.108086
snowboard	0.107384
"Pan Pacific"	0.105394
"Pan Ams"	0.105365
CONCACAF	0.105034
"AFC West"	0.102113
"Eastern Division"	0.101542
"National League Central"	0.100791
"NL Central"	0.100487
"Louis Vuitton Cup"	0.0993179
"Big Sky Conference"	0.0990346
"NFC East"	0.0984792
nonconference	0.0974196
"NL East"	0.0970685
"U.S. Amateur"	0.096939
"quarter horse"	0.0961092
ATP	0.0953274
LPGA	0.0941373
"SEC East"	0.0940854
cruiserweight	0.093816
"AL Central"	0.0935971
triathlon	0.0927733
EuroLeague	0.092158
"European Tour"	0.0917238
"ski jumping"	0.0916936
pentathlon	0.0904228
"Uber Cup"	0.0900358
NASCAR	0.0887581
Pacific-@@	0.0869725
Indy	0.0867021
Criterium	0.0859482
"NFC West"	0.0859218
"AFC East"	0.0855124
"ski jump"	0.0847306
"won six"	0.0839599
Iditarod	0.0837181
F-@	0.0834479
powerboat	0.0832669
"Conference USA"	0.0832185
"Grand Prix"	0.0831297
"National League East"	0.0828021
"mountain bike"	0.0825563
"Federation Cup"	0.0824651
Penske	0.0815389
Chevy	0.0807268
"light heavyweight"	0.0806291
"Italian League"	0.0804793
PGA	0.0797933
"won nine"	0.0796375
"sled dog"	0.0793219
"cross country"	0.0792764
A.L.	0.0789948
"won seven"	0.0789831
"won four"	0.0789332
fide	0.0788737
"NL West"	0.0781107
Suzuka	0.0780672
biathlon	0.0769734
under-@@	0.0767975
"Fed Cup"	0.0767526
"first five"	0.0765521
"Pepsi @@@"	0.0763967
"NFC Central"	0.0761926
Super-G	0.0760869
"Senior PGA Tour"	0.0759931
"AL East"	0.0750028
"won five"	0.0749844
"United States Open"	0.0745371
"dirt track"	0.0745053
"AL West"	0.0744199
hardcourt	0.0742766
decathlon	0.0741
"Asian Cup"	0.0737634
"first six"	0.0733348
"Chinese Olympic"	0.0732259
"Oak Tree"	0.0731611
Winston	0.0729785
"field hockey"	0.0727835
cycling	0.0727776
"junior lightweight"	0.0727775
"Boston Marathon"	0.0727368
Roush	0.0722532
"Home Run Derby"	0.0718017
"European Cup"	0.071646
top-@@	0.071644
"F.A Cup"	0.0713702
"Indy @@@"	0.0713258
"Brickyard @@@"	0.0711387
"Lethal Weapon"	0.0710647
"figure skating"	0.0710629
"won three"	0.0709582
snooker	0.070784
Yachting	0.0706382
"MLS Cup"	0.0700928
"Western Conference"	0.0699834
"London Marathon"	0.0698149
C-USA	0.0695338
"won eight"	0.0694414
top-class	0.0694087
"American League East"	0.0693136
"junior middleweight"	0.0690011
"Big @@"	0.0689424
skeet	0.0686984
"professional golf"	0.0684818
epee	0.0682533
"South American"	0.0682183
"Hopman Cup"	0.0681624
Irwindale	0.0681257
"junior welterweight"	0.0681108
steeplechase	0.0678757
dressage	0.0677807
over-@@	0.067394
best-of-@	0.0673523
Giro	0.0669548
Skating	0.0667306
"U.S. Senior Open"	0.0664247
"Western Athletic Conference"	0.0662089
Bundesliga	0.0660865
"College World Series"	0.0659514
three-time	0.0658866
GP	0.0658073
"League Cup"	0.0657276
"Southwest Conference"	0.0655066
slalom	0.0654287
WBO	0.0648577
"Atlantic Division"	0.064602
Imola	0.0644553
"first three"	0.0643492
ACC	0.0641872
"Senior Tour"	0.0641764
Menard	0.0641118
WCC	0.0640405
"Northeast Division"	0.0639995
"Chevrolet Monte Carlo"	0.063857
Lipton	0.0638148
first-day	0.0637746
"Eastern Conference"	0.0636241
"triple crown"	0.0635091
interleague	0.0633359
"hammer throw"	0.0631976
"Daytona @@@"	0.0631003
"British Grand Prix"	0.063047
"International League"	0.0629268
"Nations Cup"	0.0629096
"Little League World Series"	0.0629013
Pac-@@	0.0623573
"first four"	0.0622617
"Division I-AA"	0.0622426
"Next Generation"	0.0618137
three-meter	0.0615445
NTRA	0.0614084
"Gold Cup"	0.0612976
"middle distance"	0.0606904
"Big Sky"	0.0603853
parimutuel	0.0603674
midget	0.0603086
"ATP Tour"	0.0601058
CAA	0.060054
Tram	0.0596139
pre-Olympic	0.0595413
USTA	0.0593909
"Big East"	0.0593627
Ganassi	0.0593246
"Western Open"	0.0592548
Monza	0.0592139
"high jump"	0.0591483
"stroke play"	0.0590896
"Pacific Division"	0.0589916
"National Collegiate Athletic Association"	0.058739
bantamweight	0.0584544
"Atlanta Olympic"	0.0584072
"American League"	0.0583264
Cliburn	0.0580185
"won @@"	0.0579023
))
("Busch Series" (desc 1932.3) (sims
"Busch Grand National"	0.292596
Busch	0.220217
"Grand National"	0.210105
"Winston Cup"	0.200783
"NASCAR Winston Cup"	0.195529
"Indy Racing League"	0.154214
IRL	0.147561
NHRA	0.131069
"first cup"	0.130569
"stock car"	0.129785
"Top Fuel"	0.129414
"World Championship"	0.123394
"Funny Car"	0.116892
"Championship Auto Racing Teams"	0.109223
"Le Mans"	0.108889
Iditarod	0.107542
Brickyard	0.105502
Ironman	0.104782
"London Marathon"	0.103326
"National League West"	0.102217
Indy	0.100619
"Indy @@@"	0.100069
bobsled	0.0987812
NASCAR	0.0973825
"American League West"	0.0967227
Super-G	0.0959349
luge	0.0950365
"NFC East"	0.0950299
"won seven"	0.0940446
"ski jumping"	0.0939794
"AFC West"	0.0922658
"National League Central"	0.0910219
Loudon	0.0895663
Winston	0.0888029
"Oak Tree"	0.088706
"European Tour"	0.0868038
"Eastern Division"	0.0867478
"Big Sky Conference"	0.0865313
"sled dog"	0.0864436
"Brickyard @@@"	0.0860889
"Little League World Series"	0.0858919
superspeedway	0.0855155
"Nations Cup"	0.0850189
"ski jump"	0.0843693
"Central Division"	0.0840489
snowboard	0.0840188
"AFC Central"	0.0834956
triathlon	0.0821031
F-@	0.0820229
"NL Central"	0.0817995
"won nine"	0.0809378
"won four"	0.0808512
"Pepsi @@@"	0.0807641
"won six"	0.0803482
"Golden League"	0.080168
"Pan Pacific"	0.0795231
"NFC West"	0.0787155
"Daytona @@@"	0.0779747
Bundesliga	0.077936
"Atlantic Coast Conference"	0.0775811
"Big East"	0.0765568
F@	0.0764605
"New York City Marathon"	0.076426
slalom	0.0759674
"SEC East"	0.0758422
"Solheim Cup"	0.0752457
"Pan Ams"	0.0745715
CWS	0.0745313
Yachting	0.0741325
EuroLeague	0.0728634
"British Grand Prix"	0.0727737
"Gold Cup"	0.07277
"cross country"	0.0726561
"first five"	0.0726164
"first six"	0.0725542
Pacific-@@	0.072546
powerboat	0.0725342
"AFC East"	0.0725039
"AL Central"	0.0720181
"Division I-AA"	0.0719884
"Boston Marathon"	0.0714001
"Senior PGA Tour"	0.0712799
"American League East"	0.0707592
"won one"	0.0706088
"Italian League"	0.0705225
"won eight"	0.0701652
cycling	0.0701609
"NL East"	0.0700139
"Grand Prix"	0.0697894
"National League East"	0.0696951
"NFC Central"	0.0694219
"NL West"	0.0691349
"Uber Cup"	0.0689111
decathlon	0.0688497
Hendrick	0.0686263
biathlon	0.0683866
"middle distance"	0.0678828
"fourth generation"	0.067864
"AL West"	0.0677161
pentathlon	0.0663913
"triple crown"	0.0663471
Heptathlon	0.0660645
Skating	0.065969
"LPGA Tour"	0.0655384
steeplechase	0.0654144
Foyt	0.0651414
"won three"	0.0650947
"won five"	0.0646525
"first four"	0.0643557
"Sunshine State"	0.0639965
ATP	0.0637007
"Southwest Conference"	0.0632023
"Japanese Grand Prix"	0.063086
top-@@	0.0626205
"Senior Tour"	0.0622699
"Conference USA"	0.0618381
"three-day event"	0.0618316
Criterium	0.0617737
"MLS Cup"	0.0616711
Roush	0.0615177
"Chevrolet Monte Carlo"	0.0614806
"Home Run Derby"	0.0611524
"Sears Point"	0.0610177
LPGA	0.0604655
"FA Cup"	0.0604629
"Louis Vuitton Cup"	0.0602073
"mountain bike"	0.0596613
"American League"	0.0595299
Catalonia	0.0593871
"Western Conference"	0.0593296
Pac-@@	0.0592915
"Cup Classic"	0.0592424
under-@@	0.0591809
Festina	0.058574
Hornaday	0.0583079
"Western Athletic Conference"	0.0582895
"National Invitation Tournament"	0.0580457
Whitbread	0.0579216
"Kentucky Oaks"	0.0579042
NL	0.0574694
XFL	0.0574066
"dirt track"	0.0570016
"Copa America"	0.056958
"National Hockey League"	0.0565563
top-class	0.0565466
"one cup"	0.0564872
"Big Sky"	0.0563238
Nicol	0.0559568
"College World Series"	0.0557926
"National League"	0.0557893
"U.S. Amateur"	0.055599
"Atlantic Division"	0.0555067
"quarter horse"	0.0552867
"Hong Kong Open"	0.05518
ACC	0.0550536
"first three"	0.0549628
"front room"	0.0548418
"Pan Am Games"	0.0547713
"Thomas Cup"	0.0546738
PBA	0.0546305
"Champions Cup"	0.0544826
"Sudirman Cup"	0.0544389
"Kentucky Derby"	0.0542116
C-USA	0.0540641
"Roush Racing"	0.0538741
"Chapel Hill"	0.053809
Ryder	0.0537804
Lipton	0.0537181
"professional golf"	0.0536876
Forsythe	0.0535881
"won two"	0.0535731
badminton	0.0534254
"Hopman Cup"	0.0532069
"International Hockey League"	0.0530856
ml	0.0530713
"AFC Championship Game"	0.0530313
Futurity	0.0530206
rowing	0.0529891
"Ford Taurus"	0.0529203
WTA	0.0528781
"European Cup"	0.0528538
"stroke play"	0.0527706
Tanui	0.0526736
WAC	0.0526736
"Premier League"	0.0524109
WCC	0.0524087
AHL	0.0521843
"won @@"	0.0521554
"other eight"	0.0519778
Penske	0.0517825
"Big @@"	0.0517288
"Top @"	0.0516318
"African Nations Cup"	0.0514709
"Western Open"	0.0513829
"AL East"	0.0511784
"first nine"	0.0511526
"professional football"	0.0510775
Sixteen	0.050932
"Granite State"	0.0506681
Suzuka	0.0505329
))
("Busch Stadium" (desc 5185.01) (sims
"Qualcomm Stadium"	0.199708
"Edison Field"	0.198503
"Wrigley Field"	0.194708
"Veterans Stadium"	0.193157
"Shea Stadium"	0.192676
"Dodger Stadium"	0.191641
"County Stadium"	0.185592
"Jacobs Field"	0.180668
"Turner Field"	0.174392
Metrodome	0.173129
"Yankee Stadium"	0.167315
"Fenway Park"	0.163239
"Rivers Stadium"	0.162785
"Pro Player Stadium"	0.161552
"Polo Grounds"	0.160203
Astrodome	0.160112
"Continental Arena"	0.158185
"Coors Field"	0.157866
"Tropicana Field"	0.153934
"Comiskey Park"	0.153342
"Trans World Dome"	0.151888
SkyDome	0.148992
"Camden Yards"	0.148479
Wrigley	0.148259
"Pacific Bell Park"	0.146048
"Reunion Arena"	0.145862
"Olympic Stadium"	0.143384
"Arrowhead Stadium"	0.138732
"RCA Dome"	0.138511
"Cinergy Field"	0.136895
"Oakland Coliseum"	0.136227
"Comerica Park"	0.135022
"Kyle Field"	0.134386
Kingdome	0.133034
"Tiger Stadium"	0.132016
"America West Arena"	0.131415
"Memorial Stadium"	0.128401
"Giants Stadium"	0.127859
"RFK Stadium"	0.126081
"Delta Center"	0.125897
Shea	0.125464
"Tokyo Dome"	0.125288
"Enron Field"	0.125023
"Soldier Field"	0.124586
"Pauley Pavilion"	0.124581
"Compaq Center"	0.123891
"Foxboro Stadium"	0.122738
Alamodome	0.122369
"Safeco Field"	0.122252
"Ebbets Field"	0.121247
"Candlestick Park"	0.120644
"Joe Louis Arena"	0.118306
Fenway	0.11779
Ballpark	0.115657
"United Center"	0.114241
"Nassau Coliseum"	0.113233
"Rose Bowl"	0.112567
"Miami Arena"	0.110957
Superdome	0.109012
"MCI Center"	0.108448
"Texas Stadium"	0.107898
"Market Square Arena"	0.106435
"Devil Stadium"	0.106187
FleetCenter	0.104268
"Cotton Bowl"	0.103694
KeyArena	0.103039
"Kiel Center"	0.100621
"Georgia Dome"	0.0992253
"Jack Kent Cooke Stadium"	0.0976688
Safeco	0.0970028
"Kauffman Stadium"	0.0966579
"Mile High Stadium"	0.095047
"Madison Square Garden"	0.0900788
"Stade de France"	0.0874767
"Marine Midland Arena"	0.0870243
Coliseum	0.0848981
"Lambeau Field"	0.0830455
"Pac Bell Park"	0.0818146
"Stade Velodrome"	0.0809225
"Staples Center"	0.0807488
"Conseco Fieldhouse"	0.079406
"sports arena"	0.0764383
"Roland Garros"	0.0745149
CWS	0.0732179
"Sanford Stadium"	0.0720156
"Brooklyn Academy of Music"	0.0716036
"Wembley Stadium"	0.070961
"Civic Arena"	0.0690538
Highbury	0.0678784
"Orange Bowl"	0.0677849
NHIS	0.066167
"Carnegie Hall"	0.065001
"Sacramento State"	0.0634365
"U.N. Headquarters"	0.0625879
"National Stadium"	0.0624945
Tanglewood	0.0614569
"Maple Leaf Gardens"	0.0612292
"Continental Airlines Arena"	0.0611772
midcourt	0.0611647
Foxboro	0.0610333
COMDEX	0.0607584
"Valley Ranch"	0.0606773
"Joyce Theater"	0.0605538
"Riviera Country Club"	0.0601818
"Stamford Bridge"	0.0593185
"Michigan Speedway"	0.0591497
"Texas Motor Speedway"	0.0588932
"Augusta National"	0.0585161
"Belmont Park"	0.0581003
"Churchill Downs"	0.0575669
Meadowlands	0.0570305
"Melbourne Cricket Ground"	0.0569999
"Avery Fisher Hall"	0.0569151
Busch	0.0568303
"Old Trafford"	0.0567642
"Plaza Hotel"	0.056734
Indy	0.0561676
"Boston Garden"	0.0560344
"Dorothy Chandler Pavilion"	0.0556502
"about @:@@"	0.0549813
TM	0.0545324
"Atlanta Motor Speedway"	0.0537207
"Melbourne Park"	0.0536751
Wembley	0.0535532
centerfield	0.0535043
candlestick	0.0534663
"First Union Center"	0.0533899
"Olympic Park"	0.0529627
Pinehurst	0.0528541
Richmond	0.0528399
"Phoenix Open"	0.0526706
Pocono	0.0519973
"New Hampshire International Speedway"	0.0518886
"Fleet Center"	0.051162
Daytona	0.0509364
Medinah	0.0505392
Dodgertown	0.050503
"Parliament House"	0.0503705
"Shrine Auditorium"	0.0500735
"Metropolitan Opera House"	0.0498517
Stormont	0.049569
"Philips Arena"	0.0489815
Longwood	0.048184
"New York State Theater"	0.0480967
"Ben-Gurion Airport"	0.0479539
"Daytona International Speedway"	0.0479013
Macworld	0.0476074
"Oregon State"	0.0475721
Coors	0.0473556
"Alice Tully Hall"	0.0472983
"Indianapolis Motor Speedway"	0.0472926
"Centre Court"	0.0464065
"Pebble Beach"	0.046379
"Villa Park"	0.0462104
Enron	0.0459084
"Pepsi Center"	0.0458748
"Newark International Airport"	0.045863
"Fort Campbell"	0.0457329
"Cal State Fullerton"	0.0455823
"Santa Anita"	0.0455277
"O'Hare International Airport"	0.0454316
Storrs	0.0453047
"Royal Birkdale"	0.0451559
"Millrose Games"	0.0443813
"Great Western Forum"	0.0440805
Pawtucket	0.0440562
Brickyard	0.0440427
"Fort Myers"	0.0440331
rightfield	0.0439255
dusk	0.0436811
"Augusta National Golf Club"	0.043578
"rose garden"	0.0428042
"Olympic Club"	0.0427976
"Andrews Air Force Base"	0.0426337
"Miami Fusion"	0.0426121
"Fort Hood"	0.04248
Talladega	0.0423202
"Washington University"	0.0421217
Tacoma	0.0420649
Sahalee	0.0420326
"Motor Speedway"	0.041921
"Waldorf-Astoria Hotel"	0.0418323
LSU	0.041735
"All-Star Game"	0.041522
"World Basketball Championship"	0.0412895
Eastbourne	0.0409721
"Del Mar"	0.0409474
"Wye Plantation"	0.0408021
Bradenton	0.0403864
Martinsville	0.0401728
Clemson	0.0400791
))
(Bush (desc 217912) (sims
gore	0.337451
"George W. Bush"	0.300181
McCain	0.293327
Bradley	0.262002
Clinton	0.23049
"Al Gore"	0.204148
Giuliani	0.203197
Governor	0.186016
"John McCain"	0.185026
Republican	0.183544
candidate	0.179469
"vice president"	0.175758
DOLE	0.174162
Pataki	0.174019
"George Bush"	0.17104
Forbes	0.1695
Democrat	0.168423
"Bill Bradley"	0.167857
Buchanan	0.16322
senator	0.153637
Lieberman	0.149053
President	0.148048
Lazio	0.145976
"Bob Dole"	0.145871
Netanyahu	0.144376
Mayor	0.141503
Yeltsin	0.139286
Putin	0.13921
Quayle	0.138631
Barak	0.135725
Schumer	0.135022
D'Amato	0.13214
Cellucci	0.130488
GOP	0.128672
"Hillary Rodham Clinton"	0.128392
Cheney	0.126034
"Steve Forbes"	0.125866
Reagan	0.12414
administration	0.123738
Bauer	0.123165
opponent	0.121568
Gingrich	0.120469
rival	0.119865
"first lady"	0.119851
Labastida	0.118069
Corzine	0.117887
front-runner	0.116293
"Bill Clinton"	0.116176
Nader	0.115372
him	0.114537
Lott	0.113446
leader	0.113366
Schroeder	0.112672
Arafat	0.111751
party	0.111623
politician	0.111573
"George Pataki"	0.110743
Khatami	0.110501
government	0.1105
Chavez	0.110344
campaign	0.110159
Kennedy	0.109364
Milosevic	0.108707
Whitman	0.108593
Hastert	0.108145
Fujimori	0.107736
nominee	0.107585
Blair	0.106854
"Pat Buchanan"	0.106791
"Republican George W. Bush"	0.105777
lawmaker	0.105239
Kohl	0.104827
"Hillary Clinton"	0.104229
Gephardt	0.103709
conservative	0.10313
Starr	0.102461
"Republican Party"	0.10241
Perot	0.102169
Albright	0.101924
Davis	0.101474
Harshbarger	0.101028
Vallone	0.100894
"Elizabeth Dole"	0.100889
Nixon	0.100763
"White House"	0.100691
voter	0.100587
Lungren	0.100404
"Ronald Reagan"	0.0996191
Primakov	0.0987468
"Gray Davis"	0.0981372
Cohen	0.098068
Johnson	0.0975593
"Benjamin Netanyahu"	0.0972883
smith	0.0971401
Obuchi	0.0970355
Hoffa	0.0969146
"George W."	0.0962996
Microsoft	0.0953519
Estrada	0.0952628
Mauro	0.0952177
her	0.0951192
Florio	0.0947576
Zedillo	0.0946567
Ventura	0.0944106
Keyes	0.0942976
"Gary Bauer"	0.0939671
pope	0.0938904
"Jeb Bush"	0.0937637
"Democratic Party"	0.0937261
Speaker	0.0932289
Fox	0.0929637
challenger	0.0921493
Mandela	0.0920303
Greenspan	0.0919602
people	0.091258
man	0.0908627
he	0.0907157
Rowland	0.0906482
Congress	0.0905906
incumbent	0.0896405
"Rick Lazio"	0.0893144
Mbeki	0.0886257
Ashcroft	0.0884953
Carter	0.088429
Annan	0.0882605
Reno	0.088145
group	0.0880377
Chen	0.0877506
Castro	0.0876411
"United States"	0.0871494
Kerry	0.0871342
Jackson	0.0871337
"Dick Cheney"	0.0869392
father	0.0868089
Gramm	0.0867996
those	0.086752
Wilson	0.0865948
Chernomyrdin	0.0862929
Cardoso	0.0862827
them	0.0858341
Pastrana	0.0857033
Alexander	0.0855209
me	0.0852815
American	0.0851509
official	0.085059
Chirac	0.0850441
Habibie	0.0849097
you	0.0849063
Richardson	0.0848553
Mahathir	0.0848531
Brown	0.0848148
"each other"	0.0844952
Feinstein	0.0843192
team	0.0841502
Wahid	0.0840442
leadership	0.0840233
Kabila	0.0836677
Mugabe	0.083419
Daley	0.0833639
Israel	0.0833492
"Alan Keyes"	0.0833206
Jiang	0.0829966
company	0.0828886
it	0.0827358
us	0.0827194
Chancellor	0.0826528
legislator	0.0826073
husband	0.082439
Hillary	0.082371
opposition	0.0822486
someone	0.0820924
Rugova	0.0819485
hatch	0.0818296
NATO	0.0817288
state	0.0816395
Williams	0.081494
"Ehud Barak"	0.0813378
Cuomo	0.0813151
prosecutor	0.081276
minister	0.0811314
Samaranch	0.080936
Spitzer	0.0809181
"Christie Whitman"	0.0809139
anyone	0.080857
Barnes	0.0808304
who	0.0806621
"Ralph Nader"	0.0804489
Carnahan	0.0803322
"Dan Quayle"	0.0802365
Livingston	0.080124
everyone	0.080087
Tyson	0.0800867
king	0.0800633
Gates	0.0800611
some	0.0800465
Peres	0.0799557
union	0.0799084
"Tony Blair"	0.0798188
Trimble	0.079404
Hyde	0.0792708
))
(Bushehr (desc 2145.6) (sims
Isfahan	0.167631
Kismayu	0.153109
Trincomalee	0.150223
Dunkirk	0.149432
Chernobyl	0.143456
Lianyungang	0.139391
Basra	0.134824
Najaf	0.132698
Sidon	0.13253
Tokaimura	0.131421
Izmir	0.129518
Cebu	0.12835
Bamiyan	0.127715
Antalya	0.123962
Ashkelon	0.122992
Murmansk	0.120686
Pusan	0.118538
Phuket	0.116009
Baalbek	0.114831
Ensenada	0.112146
Aswan	0.111328
"Oak Ridge"	0.110109
Beira	0.110045
"Three Mile"	0.109487
Durres	0.109189
Mashhad	0.108678
Gdansk	0.107917
Novosibirsk	0.107839
Luoyang	0.107166
Mosul	0.106326
Shashi	0.106057
Aqaba	0.10553
Herat	0.10512
Matadi	0.104136
Merca	0.103115
Tapachula	0.102885
Multan	0.102828
Juba	0.102763
Zhanjiang	0.102309
Dongguan	0.100907
Vojvodina	0.10075
"Port Elizabeth"	0.100558
Shiraz	0.100219
Huambo	0.0996721
Cochabamba	0.0993691
Sihanoukville	0.0991785
"San Pedro Sula"	0.0988213
Cotabato	0.0982151
Limon	0.098073
Bursa	0.0976515
hydro	0.0969359
Khulna	0.0964968
Hanford	0.0962514
Irbil	0.0961694
Baoding	0.0959758
Kalemie	0.0948774
Sevastopol	0.0947776
"CHIANG MAI"	0.0947627
Cordoba	0.0947261
Zamboanga	0.0941881
Tete	0.0932559
Diyarbakir	0.092747
Antwerp	0.0923248
Davao	0.0921688
Kragujevac	0.0920187
Krasnoyarsk	0.0913395
Mankulam	0.0910372
Haifa	0.0908717
Saida	0.0907884
Larnaca	0.0906597
Khost	0.0906149
Taloqan	0.0902747
Khabarovsk	0.0898379
ZHOUSHAN	0.0880752
Cartagena	0.0872725
Posoltega	0.0869862
Qom	0.0864683
Matamoros	0.0863581
Acapulco	0.0859864
Malaga	0.0852293
"Chiang Rai"	0.0852042
Kaohsiung	0.0851907
Assab	0.0851527
Manado	0.0849042
Jinja	0.0848095
Uvira	0.0846777
Datong	0.0844681
Cabinda	0.0843825
Baotou	0.0843661
Inchon	0.0842032
Obilic	0.0841464
Suez	0.0840785
Limassol	0.0837394
Kuito	0.0836957
Benguela	0.0836864
Tunceli	0.0834971
"Surat Thani"	0.0832362
Beihai	0.0831903
Adana	0.0830463
Aden	0.0829514
Wuxi	0.0829201
Antioquia	0.0823309
Palmdale	0.0823079
Limerick	0.0822196
Ningbo	0.0822176
Bulawayo	0.0819886
Izmit	0.0819554
Zhongshan	0.0814422
Quanzhou	0.0811988
Sanya	0.0807799
Qinhuangdao	0.0802415
LaGrange	0.0801293
Kismaio	0.0799995
Wenzhou	0.0799359
BIE	0.0796489
Bengkulu	0.0795325
Zhangjiagang	0.079417
Zhangzhou	0.0791382
Kisumu	0.0784636
Yangzhou	0.0783506
Bellingham	0.0782773
Galle	0.0781295
Anshan	0.0775137
Vlore	0.0772658
Catania	0.076655
millstone	0.0758731
Urosevac	0.0757152
Eilat	0.0756632
Gadsden	0.075447
Golmud	0.0753202
Beersheba	0.0752411
Bingol	0.0751417
Hyderabad	0.0745148
Ur	0.074487
Kizlyar	0.0743637
Jinzhou	0.0738762
Yokohama	0.0738742
Manta	0.0736531
Dubuque	0.0734431
Nago	0.0733184
Trieste	0.0730283
Toulon	0.0729497
Chittagong	0.0728766
Yichang	0.0728398
Santander	0.0723175
Puebla	0.0723011
Sirnak	0.0720498
Tangshan	0.0719146
Guantanamo	0.07191
Jenin	0.071909
Atambua	0.0718759
Cacak	0.0715067
Fremont	0.0714239
"North Maluku"	0.071378
Chengde	0.0713133
Jezzine	0.0712738
Nyanza	0.0711552
Tigray	0.0709594
Batticaloa	0.0709123
Vladivostok	0.0706828
Kandahar	0.0706767
NIS	0.0704835
Casas	0.070398
Sindh	0.0702466
Kettering	0.0702192
Salem	0.0700368
"Siem Reap"	0.0700229
Waterford	0.069962
Palawan	0.0699053
Waterville	0.0698237
Peshawar	0.0697907
Dubrovnik	0.069684
Jalalabad	0.0696504
Yogyakarta	0.0694909
Weifang	0.0694806
"Fall River"	0.069422
Hakkari	0.0694119
"gas turbine"	0.069257
"Mekong Delta"	0.0692526
"Red Hook"	0.0691846
Jolo	0.0689445
Pampanga	0.0688467
Salonica	0.0687587
Maguindanao	0.0682889
Shantou	0.0682411
Sochi	0.0682352
Bailundo	0.0682198
LNG	0.0677897
Medan	0.0677603
Liuzhou	0.0676151
Punjab	0.0673561
Odessa	0.0672788
Tyre	0.0672427
Sur	0.067126
Haicheng	0.0670911
Gauteng	0.0670636
Katanga	0.0670548
Jiujiang	0.0668831
Brunswick	0.0668725
Nagoya	0.0665564
))
(bushel (desc 3719.4) (sims
"million tons"	0.12961
"more than @ million tons"	0.128209
"about @,@@@ tons"	0.11786
"over @@,@@@ tons"	0.112955
"about @@ million tons"	0.109404
"over @@@,@@@ tons"	0.107215
Kilogram	0.105109
"more than @@,@@@ tons"	0.0991331
"one ton"	0.0971999
"more than @@ million tons"	0.0961444
"more than @,@@@ tons"	0.0959015
ton	0.0939245
"metric ton"	0.0929993
"about @@@,@@@ tons"	0.0916952
"five million tons"	0.0878046
"one kilogram"	0.0863811
"more than @@@,@@@ tons"	0.0862801
gallon	0.0856311
"square meter"	0.0851874
liter	0.0847031
"two million tons"	0.0813276
"four tons"	0.0805448
"about @.@ million tons"	0.0783418
kilo	0.0777786
"more than @@@ million tons"	0.0771883
kg	0.0769503
"six tons"	0.0760897
"about @@,@@@ tons"	0.0720695
"about @@@ pounds"	0.0716638
"about @@@ tons"	0.0714587
truckload	0.071076
"about @@ tons"	0.0698073
"three million tons"	0.0696901
"five tons"	0.0688352
acre	0.0679877
"kilowatt hour"	0.0674049
tonne	0.0655709
gram	0.0653011
sheaf	0.0643719
"two tons"	0.0632623
"over @@@ tons"	0.0620086
"more than @@@ tons"	0.0619233
"more than @@ tons"	0.0617461
kernel	0.0615671
ounce	0.0612083
"one pound"	0.0587558
"three tons"	0.0583333
"over @,@@@ tons"	0.0576948
"over @@ million tons"	0.0571158
"about @.@@ percent"	0.0568364
"more than @,@@@ pounds"	0.0556069
sorghum	0.0552715
"one million tons"	0.0548333
harvesting	0.0548013
hectare	0.054705
"two sacks"	0.0535253
byte	0.0523032
"wheat flour"	0.0518934
"six million tons"	0.0516315
hairpiece	0.0515452
sugarcane	0.0512158
misspelling	0.0506247
pallet	0.050435
"cubic meter"	0.0501343
bale	0.0491827
"nearly @@ points"	0.0484177
"one ounce"	0.0481251
baserunners	0.0478082
gratin	0.0476602
"four inches"	0.0474535
scad	0.0474307
baserunner	0.0470211
one-quarter	0.0468791
"two boxes"	0.0465127
"about @@ pounds"	0.0464776
"two pounds"	0.0464745
"base runner"	0.0464076
boatload	0.0461534
fount	0.0456125
oodles	0.0443802
plethora	0.0436257
clump	0.0429203
crate	0.0428417
hay	0.0424655
"elbow room"	0.042397
"a few dollars"	0.0423534
pail	0.042212
"telephone booth"	0.0420221
pint	0.0418148
nuttiness	0.0417173
"more than @@ yards"	0.0417139
husk	0.0413362
gusher	0.0412747
"million acres"	0.0408565
"one quarter"	0.0407611
gob	0.0407308
"about @@@,@@@ acres"	0.0407093
one-eighth	0.0404449
"blue crab"	0.0402473
morsel	0.0402436
"more than @.@ percent"	0.040063
grating	0.0400458
))
(Bushnell (desc 1914.04) (sims
Swenson	0.112548
Ricart	0.109794
Cleary	0.104671
Meissner	0.103118
O'Hara	0.0981085
Cline	0.0969903
Menchu	0.0968385
Weil	0.0966771
Kirkpatrick	0.0957197
Moscoso	0.0919484
Rivlin	0.0900342
Greenwald	0.0900226
Brundtland	0.0891969
Pape	0.0890166
DeFrantz	0.0872464
Taymor	0.0862271
Briscoe	0.0857959
Fiorina	0.0856612
Mucha	0.0856111
Baum	0.0840552
Arbour	0.0838009
Grunwald	0.083345
Barad	0.0832939
McCormack	0.0813297
Garza	0.081138
Tuttle	0.0807205
Garber	0.0806508
Brazile	0.0798692
Muir	0.079592
Sheehy	0.0794623
Mortimer	0.0792474
Wasserstein	0.0792274
Roberson	0.0789193
Knapp	0.0787084
Samuelson	0.078314
Waxman	0.078225
McFadden	0.0780014
Deneuve	0.0776984
Ono	0.0764105
Ben-Ami	0.0763495
Ivey	0.0761384
Russo	0.0759694
Rowley	0.0759451
Keenan	0.0756379
Hsia	0.075489
Siazon	0.0754396
Morley	0.0753409
Atkinson	0.0753366
Gaffney	0.0751933
Kurtz	0.0751234
Fabius	0.0749907
Shulman	0.0749278
Suarez	0.0748439
Oliveira	0.0747128
Hecht	0.0745262
Molinari	0.0744318
Arron	0.0743899
Allchin	0.0741632
Kok	0.0739736
Lowry	0.0738158
Northup	0.0735747
Couric	0.0734313
Barshefsky	0.0733924
Yastrzhembsky	0.0732634
Farrell	0.0731479
Grimes	0.0725368
Manheim	0.07253
Weiner	0.0724551
McCartney	0.0724202
Edson	0.0722371
Goldin	0.0721398
Fay	0.0720472
Tharp	0.0720221
Carmichael	0.0718773
Cramer	0.0718173
Heche	0.0717546
Yoon	0.0717279
Orton	0.0716791
Jovanovic	0.071591
Britton	0.0714877
Joklik	0.0712581
Stacy	0.0710736
Kurth	0.0710721
Mayer	0.0710139
Rowan	0.0709586
Marchand	0.0708969
Farber	0.0708222
Mahoney	0.0707262
Betts	0.0701104
Patten	0.0699952
Abram	0.0699732
Pierson	0.0698727
Chukwu	0.0698698
"Kamal Kharrazi"	0.0698664
Shipley	0.069859
Jaffe	0.06976
Ikimi	0.0696888
Higgins	0.0696355
Fino	0.0692587
Upshaw	0.06922
Huffington	0.0691535
Bassett	0.069119
Kirby	0.0690783
Schwartz	0.0689455
Haines	0.0684847
Falco	0.0683896
kraut	0.0683658
Portman	0.0682379
McKenna	0.0682338
Duffy	0.0680868
Portnoy	0.0680638
Sibley	0.0679402
Yosef	0.0678193
Ikeda	0.0675994
Lehmann	0.0675259
Knievel	0.0674811
LeFave	0.0674544
Janssen	0.0673782
Rosenthal	0.0673465
Greco	0.0673267
Marquez	0.0673051
Theron	0.0672594
Trevi	0.0672208
Bisek	0.0672166
Parrott	0.0672079
bock	0.067075
Galvin	0.0670173
Hahn	0.0667615
Rowling	0.0666775
Hickman	0.0666096
Schafer	0.0665205
Drexler	0.0664862
Bronson	0.0664586
Rupert	0.0662242
Shriver	0.0662179
Hobson	0.0660933
Midler	0.065744
Shareh	0.065571
Klima	0.0655639
Lurie	0.0653654
Ashrawi	0.065318
Mckee	0.0653162
Lockwood	0.0653044
Saunders	0.0652457
Nacchio	0.0651858
Sang	0.0651182
Solana	0.0649544
Redgrave	0.0646291
Tilberis	0.0644754
Hamlin	0.0643977
el-Ganzouri	0.0643243
Perdue	0.0643177
Weinberg	0.0642992
Boardman	0.0641614
Kahn	0.0641249
Seligman	0.0640274
Dini	0.0637988
Barlow	0.0637587
Albrecht	0.0636023
Feldman	0.0633619
Donnelly	0.0633034
Salinger	0.0632975
Shalala	0.0632727
Wolff	0.0628851
Witt	0.0626265
Rosenberg	0.062617
Wolfensohn	0.0625978
Schmitz	0.0625675
Dowd	0.0625579
Stoyanov	0.0625199
Johnston	0.0623972
Schuerholz	0.0623487
"National Sports Council"	0.062212
Berenson	0.0621758
lauder	0.0621543
Muller	0.0620622
McAuliffe	0.0619854
Sawyer	0.0618614
Komura	0.0617071
Carlin	0.0616351
Kostov	0.0615811
Yoo	0.0614087
Soyinka	0.0612197
Pearce	0.0612085
Kingsley	0.0612042
Kasoulides	0.0611505
Meyers	0.0610634
Marceau	0.0609912
Flynn	0.0609734
Whaley	0.0609532
Lipstadt	0.0609175
COYNE	0.0607591
Weldon	0.0607415
Nilsson	0.0607296
Nasrin	0.0606339
Boyle	0.0605994
Kagalovsky	0.0605177
Talbott	0.0603778
Pyle	0.0603461
Maharaj	0.0603389
))
(busiest (desc 1505.22) (sims
toughest	0.145979
warmest	0.138199
safest	0.131659
richest	0.125519
deepest	0.117618
bloodiest	0.115045
fastest-growing	0.106899
tallest	0.106111
slowest	0.104729
cheapest	0.100492
hottest	0.0946579
poorest	0.0886356
heaviest	0.087823
second-largest	0.0866422
biggest	0.0854836
fourth-largest	0.0816561
"suspension bridge"	0.0802283
third-highest	0.0795918
second-fastest	0.0784866
shipbuilder	0.0782487
hardest	0.0772704
longest	0.0761538
deadliest	0.0754178
brightest	0.0730788
oldest	0.0722849
strongest	0.0712539
third-largest	0.0705324
rebounders	0.0701306
"Special Economic Zones"	0.0678498
"three pitchers"	0.0673881
"dramatic event"	0.0622963
"body of water"	0.0618534
metropolises	0.0611219
"three schools"	0.0605241
greatest	0.0602235
"sales outlet"	0.0591851
fastest	0.059141
vote-getters	0.0579938
"second person"	0.0579798
second-worst	0.0571089
"two schools"	0.0566482
"particle accelerator"	0.0560506
second-highest	0.0556821
smallest	0.0548676
adopters	0.0547081
Nenjiang	0.0546571
businesswomen	0.0543092
Songhua	0.054014
footballer	0.0539277
beachhead	0.0539205
sub-branches	0.0526497
"life insurer"	0.0526335
"Great Divide"	0.0525897
"Liaohe River"	0.0524494
earliest	0.0524172
granary	0.0523303
easiest	0.0521984
shortest	0.052107
grandest	0.0517354
weakest	0.0517106
vertebrate	0.0513947
second-longest	0.0510811
"Christian church"	0.0492918
"American Dance Festival"	0.0489921
tenth	0.048989
nightspots	0.0486213
"ice storm"	0.0485868
gunbattles	0.0483756
initiator	0.0483442
"Development Zone"	0.04822
polluter	0.0479354
"Lijiang River"	0.047778
"hot issue"	0.0477728
"less than one percent"	0.0477722
"savings bank"	0.047622
"the very best"	0.047278
toehold	0.0472624
"second best"	0.0471153
third-best	0.0470322
happiest	0.0469861
"Jerusalem Committee"	0.0468225
"NL Rookie"	0.0463145
"important person"	0.0461787
"Songhua River"	0.0461228
"white elephant"	0.0458085
"social event"	0.045762
"car manufacturer"	0.0456157
"first pitcher"	0.0455313
"Nenjiang River"	0.045418
"non-performing loans"	0.0453164
washout	0.0449786
"steel company"	0.0448689
"legal tender"	0.0448186
"proving ground"	0.0447483
Stealers	0.0446149
eventuality	0.0446035
birthrate	0.0443398
stadia	0.0443221
"test-tube baby"	0.0441652
re-opening	0.0441222
"place of worship"	0.0438354
"subversive activity"	0.0437864
SEZs	0.0435464
"last two digits"	0.043533
rarest	0.0434687
"trunk road"	0.0434549
"first days"	0.0434243
"news event"	0.0431829
"Defensive Player"	0.0430041
"Hainan Island"	0.0430027
"swim meet"	0.0429735
highflier	0.0429327
marathoner	0.0428971
"copper mine"	0.0426022
"tennis club"	0.0425762
"third one"	0.0423957
"acquired immune deficiency syndrome"	0.0423145
"fifth homer"	0.0422857
"triple play"	0.0420662
"growth industry"	0.0420046
"insurance firm"	0.0419766
"World Environment Day"	0.0417441
"chess player"	0.0416771
setting-up	0.0416507
"first hours"	0.0415448
"First @ Months"	0.0411706
quickest	0.04114
"dog days"	0.0411349
"housing sale"	0.0411279
paddler	0.0411217
"two pitchers"	0.0410967
"Medicare HMOs"	0.0410359
"first pole"	0.0410094
"Zhejiang University"	0.0408142
"crown jewels"	0.0408063
rushers	0.0406956
wipeout	0.0406302
"Turkish Embassy"	0.0404285
"leading indicator"	0.0402309
"District Court"	0.0401979
))
(business (desc 386020) (sims
industry	0.24503
company	0.228003
enterprise	0.202295
sector	0.193277
market	0.188999
operation	0.178235
firm	0.176027
service	0.168128
investment	0.162976
corporation	0.161552
sale	0.160246
economy	0.155032
customer	0.153496
product	0.153467
venture	0.152284
bank	0.149227
project	0.148738
trade	0.143993
banking	0.142993
system	0.141479
technology	0.140956
consumer	0.140298
activity	0.139738
manufacturer	0.137727
development	0.136939
investor	0.136546
institution	0.135846
stock	0.134976
production	0.134335
job	0.133871
unit	0.133166
organization	0.132778
program	0.132457
network	0.132175
group	0.129781
commerce	0.129393
manufacturing	0.128845
management	0.127588
store	0.127328
people	0.126712
tourism	0.126566
transaction	0.126141
retailer	0.125683
factory	0.125502
sport	0.125289
fund	0.124578
community	0.124507
"financial institution"	0.124101
country	0.123664
asset	0.123386
agency	0.122175
subsidiary	0.121458
work	0.121355
politics	0.120953
"joint venture"	0.120377
worker	0.119851
division	0.119666
airline	0.119146
farmer	0.118589
provider	0.118386
export	0.118352
marketing	0.117921
growth	0.117463
"real estate"	0.116294
individual	0.11608
life	0.115837
school	0.115741
plant	0.115481
revenue	0.114833
government	0.114762
agriculture	0.114525
area	0.114467
shop	0.11422
property	0.113992
education	0.112901
interest	0.112863
family	0.11271
user	0.112144
supplier	0.111852
e-commerce	0.111803
facility	0.111697
telecommunication	0.111489
research	0.111424
Advertising	0.111416
world	0.111159
profit	0.110891
employer	0.110388
employee	0.110256
site	0.110055
office	0.110028
communication	0.109239
infrastructure	0.108754
Internet	0.108694
buyer	0.10833
maker	0.10823
state	0.108088
process	0.107835
finance	0.107373
operator	0.10728
deal	0.106568
money	0.106227
construction	0.106189
security	0.105849
culture	0.105555
software	0.105273
startup	0.10524
department	0.10509
those	0.104919
brand	0.104847
issue	0.104746
marketplace	0.104592
environment	0.104356
goods	0.103844
society	0.103662
strategy	0.102319
utility	0.102162
entity	0.101859
center	0.101314
loan	0.101008
share	0.100895
price	0.100521
client	0.100321
art	0.1003
city	0.100257
earnings	0.100054
purchase	0.099907
plan	0.0998914
problem	0.0998165
media	0.0996697
equipment	0.0995957
China	0.0995457
conglomerate	0.0995092
producer	0.0992488
Computer	0.099217
nation	0.0991572
entrepreneur	0.0990735
competition	0.0990629
insurance	0.0989683
relationship	0.0988077
region	0.0987941
"stock market"	0.0987296
student	0.0985188
policy	0.0981976
restaurant	0.098081
businessmen	0.0979666
outlet	0.0973561
Entertainment	0.0973233
resource	0.0972236
retailing	0.0971627
cooperation	0.0970438
transportation	0.0970057
public	0.0969883
science	0.0966746
trading	0.0965769
"commercial bank"	0.0965649
"insurance company"	0.0963265
farming	0.0962878
account	0.0960303
merchant	0.0959747
professional	0.0959475
giant	0.0959396
acquisition	0.0958901
future	0.0957128
portfolio	0.0956504
distribution	0.0955402
carrier	0.0955293
insurer	0.0953828
field	0.0953592
relation	0.0952116
effort	0.0950932
developer	0.0949997
"health care"	0.0948261
application	0.0947769
chain	0.0945882
health	0.0945117
exporter	0.0944583
partnership	0.0944277
building	0.0943738
dealer	0.0943278
number	0.0942721
case	0.0941475
practice	0.0938709
thing	0.0936113
house	0.0932461
campaign	0.093029
spending	0.0929661
employment	0.0928921
"mutual fund"	0.0928674
owner	0.0928434
lending	0.0927571
income	0.0927532
profession	0.0926733
household	0.0926498
woman	0.0925847
resident	0.0925092
child	0.0924897
hospital	0.0923852
power	0.0923149
contract	0.0919802
military	0.0918999
))
("business activity" (desc 10246.4) (sims
"commercial activity"	0.149242
activity	0.119225
"consumer demand"	0.106168
"housing sale"	0.100341
"insurance business"	0.0987735
"retail sale"	0.0980577
"home sale"	0.0976407
tourism	0.0968884
"electronics industry"	0.0965664
lending	0.096059
"housing market"	0.0954031
"business condition"	0.0933249
productivity	0.0927643
manufacturing	0.0914332
"social activity"	0.0898624
"employment growth"	0.0890763
investment	0.0886062
"investor confidence"	0.0880387
commerce	0.0874977
"money supply"	0.0856455
"investment climate"	0.0850592
employment	0.0837791
"securities market"	0.0834588
inflow	0.0832203
profitability	0.0828011
flow	0.081171
transaction	0.0808297
"consumer credit"	0.0802525
consumption	0.0795107
competitiveness	0.079458
distribution	0.07939
"economic condition"	0.0789305
"oil production"	0.0776702
"sphere of influence"	0.0767318
"labor cost"	0.0763443
dealings	0.0763036
transportation	0.075811
"business interest"	0.0753706
borrowing	0.0750076
"tax collection"	0.0749129
restructuring	0.0737902
"labor market"	0.0735785
mining	0.0731187
"business sector"	0.0725486
"sexual activity"	0.072447
wholesale	0.0721551
"trading activity"	0.072132
"business line"	0.0720453
innovation	0.0718348
"educational activity"	0.0717662
spending	0.0715915
usage	0.0714302
commercialization	0.0713282
refining	0.0710757
"air travel"	0.0702194
"earnings growth"	0.0698335
macro-economy	0.0697754
e-commerce	0.0695537
enterprise	0.0693647
farming	0.0692464
trading	0.0690846
"transportation system"	0.0688963
domestic	0.0684226
"personal income"	0.0681068
expansion	0.0679826
"educational institution"	0.0676935
urbanization	0.0676567
"world economy"	0.0676564
banking	0.0676015
"insurance market"	0.0671467
"medical practice"	0.067086
agriculture	0.0662004
"animal husbandry"	0.0660243
recovery	0.0660121
privatizations	0.0658193
processing	0.065668
shipment	0.0655912
"stock market"	0.0654204
"human activity"	0.0653891
"producer price"	0.0653742
"standard of living"	0.0653297
retooling	0.0652359
"security interest"	0.0651149
"product development"	0.0650764
"financial condition"	0.0650069
traffic	0.0649676
"educational program"	0.0648877
smuggling	0.0648424
Privatization	0.0647089
undertaking	0.0645447
"labor force"	0.0644538
"job market"	0.0641982
"automobile industry"	0.0639291
"marketing effort"	0.0636009
cultivation	0.0634508
"business development"	0.0630652
"rate of inflation"	0.0629272
"crime rate"	0.0628824
entrepreneurship	0.0626675
output	0.0625572
exploration	0.0625403
"construction industry"	0.0624205
planting	0.0623187
"drug trade"	0.0620269
"growth prospect"	0.061858
"sales outlet"	0.0615734
"debt market"	0.0613323
utilization	0.061148
shipping	0.0611351
immigration	0.0610323
"distribution network"	0.0608913
"balance sheet"	0.0606023
inflation	0.060568
participation	0.060556
remittance	0.0604879
disbursement	0.060349
enrollment	0.0603179
homeownership	0.0600902
"business enterprise"	0.0600888
recruitment	0.0600828
exploitation	0.0600503
afforestation	0.059779
expenditure	0.0597492
dissemination	0.0597364
"securities business"	0.0596674
opening-up	0.0596514
"revenue growth"	0.0596152
fertility	0.0595802
"quality of life"	0.0595285
earnings	0.0595261
"retail price"	0.059461
circulation	0.0592034
"information technology"	0.0590076
"market share"	0.0587799
well-being	0.0586072
"extracurricular activity"	0.0585269
"line of business"	0.0585222
foothold	0.058514
inspection	0.0584952
"distribution system"	0.0583021
logging	0.0582406
"trade barrier"	0.0581367
"balance of payments"	0.0581357
"vehicle sale"	0.0580545
"drug trafficking"	0.0580149
procurement	0.0577509
shareholding	0.057506
instability	0.0574482
"investment portfolio"	0.0574449
"bond market"	0.057441
registration	0.0573307
"rate of growth"	0.0573191
hiring	0.0572683
telecommunication	0.057244
infrastructure	0.0572071
efficiency	0.057183
"industrial enterprise"	0.0570944
"telephone service"	0.0568134
"family planning"	0.0567696
outreach	0.0565792
transit	0.056567
"trade relation"	0.0565583
importation	0.0565162
industrialization	0.0564273
inventory	0.0563171
"short selling"	0.0562635
"export sale"	0.0561756
drilling	0.0561492
"operating cost"	0.0560772
e-business	0.0560617
readjustment	0.0559884
"financial institution"	0.0559622
"growth rate"	0.0559037
"arms deal"	0.0558456
enforcement	0.0558233
setting-up	0.0556098
"retail operation"	0.0556075
"chain store"	0.0554635
democratization	0.0551465
delivery	0.0550784
reorganization	0.0550248
"tax revenue"	0.0548966
endeavor	0.0548545
"blue-chip stock"	0.054595
"product line"	0.0545533
"bank deposit"	0.0545487
"mortgage rate"	0.0545374
"commercial bank"	0.0544952
"futures trading"	0.0544832
marketing	0.0544391
unemployment	0.0544208
"road construction"	0.0544178
"subversive activity"	0.0544141
Advertising	0.0543976
"drug business"	0.0543051
"military campaign"	0.0542306
"real estate"	0.053944
poaching	0.053875
Liberalization	0.0538587
"banking system"	0.0538553
))
("business card" (desc 8906.39) (sims
"piece of paper"	0.120432
postcard	0.110896
envelope	0.107896
"sheet of paper"	0.104667
"slip of paper"	0.0993863
"dollar bill"	0.0952532
brochure	0.0939892
"greeting card"	0.0924728
"baseball card"	0.0896096
sticker	0.0896035
card	0.0895484
poster	0.0883398
"boarding pass"	0.0869024
pamphlet	0.0865699
"driver's license"	0.0859369
flier	0.0834921
"license plate"	0.0830341
stamp	0.0812057
placard	0.0798722
"Christmas card"	0.0789818
T-shirt	0.0781359
"calling card"	0.0778105
invoice	0.0764888
handbill	0.0763853
stationery	0.0761633
"postage stamp"	0.0755752
"floppy disk"	0.0726169
letterhead	0.0715783
certificate	0.0694878
tag	0.0687954
leaflet	0.0682798
"telephone number"	0.0682045
booklet	0.0676548
Coin	0.0656026
"identification number"	0.0655446
"bank statement"	0.0653169
sheet	0.0652112
"trading card"	0.0647002
passport	0.0644509
"application form"	0.0643134
floppy	0.0636251
"toilet paper"	0.063419
"name tag"	0.0633408
"street sign"	0.0632214
"birth certificate"	0.0632158
classifieds	0.0628191
scrapbook	0.0622713
napkin	0.0621212
"return address"	0.061773
password	0.0616752
"newspaper clipping"	0.0616508
"credit card"	0.0615644
printout	0.061326
billboard	0.0612736
stub	0.0607623
"phone number"	0.0607437
pencil	0.0604269
button	0.0600236
"identity card"	0.0600078
diploma	0.0597965
"bar code"	0.0596692
"bank note"	0.0595697
cassette	0.0595471
packet	0.0594348
"phone book"	0.0591104
pager	0.0586701
badge	0.0585204
plaque	0.0583961
notebook	0.0583106
calendar	0.0579739
manual	0.0574886
newsletter	0.0574129
"Social Security number"	0.0569814
shirt	0.0566085
wristband	0.0565269
thermometer	0.0565216
correspondence	0.0560479
"bus ticket"	0.0557082
coupon	0.0556142
questionnaire	0.0547443
carton	0.0542764
"name and address"	0.0541606
pen	0.0540619
"registration number"	0.0540285
catalog	0.0536693
tombstone	0.0534385
"official document"	0.0534083
suitcase	0.0530961
postings	0.0529936
banner	0.0528809
Banknote	0.0528168
"newspaper ad"	0.0526384
receipt	0.0526035
"bulletin board"	0.0523995
notepad	0.0523127
wallet	0.0518078
textbook	0.0512773
snapshot	0.0511129
jersey	0.0510279
clipping	0.0507773
"tax form"	0.0507482
IOU	0.0506756
bookmark	0.0506278
postmark	0.0505677
folder	0.0504465
manuscript	0.0504418
"ticket stub"	0.0501514
missive	0.0499707
hat	0.0498597
fingerprint	0.0493771
CT	0.0490639
"tennis ball"	0.0489613
disk	0.0488369
"golf ball"	0.0486074
diary	0.0485565
camcorder	0.0484191
bracelet	0.0483322
pad	0.0482359
telegram	0.0482226
headstone	0.0482038
"laptop computer"	0.048143
Encyclopedia	0.0480861
"silver dollar"	0.0478312
mailbox	0.0478174
"hockey stick"	0.0477647
pleasantry	0.0477217
paraphernalia	0.0476822
memento	0.0476675
marker	0.0476113
"Palm Pilot"	0.0475422
guidebook	0.0471728
postage	0.0471631
"Christmas present"	0.0470804
briefcase	0.0470605
"hunting knife"	0.047046
spreadsheet	0.0468516
"silicon chip"	0.0467177
"coffee cup"	0.0464834
CD-ROM	0.0462135
"clean slate"	0.0461899
calculator	0.0459833
"life jacket"	0.0458788
logo	0.0458718
"news article"	0.0458371
paperwork	0.0456071
transcript	0.0455333
memo	0.0455157
doll	0.0453875
"filing cabinet"	0.0453575
luggage	0.0453049
directory	0.0452622
"mailing list"	0.0451741
"computer file"	0.0451031
cartridge	0.0450797
"soccer ball"	0.0450791
"promotional material"	0.0450035
"electric bill"	0.044914
"membership card"	0.0446643
souvenir	0.0446032
"order form"	0.0445209
"pubic hair"	0.0445145
"dead body"	0.0444906
oomph	0.0444322
marking	0.0442611
"magnifying glass"	0.0440096
knife	0.0439562
"historical document"	0.0439124
"shopping cart"	0.0436392
broom	0.0436234
baggage	0.0435642
memorabilia	0.0435373
"account statement"	0.0434142
"credit report"	0.043402
Bible	0.0433783
"teddy bear"	0.0432639
sweatshirt	0.0430874
"life vest"	0.0429716
"prayer book"	0.0429245
condom	0.0428991
wrapper	0.0428848
towel	0.0428252
scroll	0.0427652
trinket	0.0424417
carnation	0.0423773
"plane ticket"	0.042377
"loaf of bread"	0.0423441
menu	0.0423308
checkbook	0.0423259
toothpick	0.0423102
mailings	0.0421037
"hand-held computer"	0.041935
cheque	0.0418694
"blank check"	0.0417692
notation	0.0416309
"parking ticket"	0.0415703
"compact disc"	0.0415608
dime	0.0415305
"newspaper column"	0.0414267
listing	0.0412913
candy	0.0412524
))
("business community" (desc 27537.7) (sims
businessmen	0.179892
"business leader"	0.179882
"business sector"	0.157033
community	0.146183
Industrialist	0.13609
"trade union"	0.133401
"political party"	0.127976
"labor union"	0.126541
entrepreneur	0.124595
NGOs	0.12318
"medical community"	0.122638
investor	0.122326
stakeholder	0.121452
public	0.120707
"chamber of commerce"	0.120614
environmentalist	0.119249
government	0.115856
"political leader"	0.112159
citizen	0.111704
"policy maker"	0.110923
"non-governmental organizations"	0.109106
industry	0.109011
"financial institution"	0.108558
sector	0.108509
organization	0.107893
"business executive"	0.107112
society	0.106521
"religious leader"	0.106072
businesspeople	0.104222
"armed forces"	0.103746
exporter	0.103616
"local government"	0.103316
"news media"	0.102925
lawmaker	0.102226
parliamentarian	0.102029
media	0.0999242
authority	0.09965
regulator	0.0996293
institution	0.0991988
banker	0.0986145
politician	0.0985611
"legal community"	0.0976282
donor	0.0975601
consumer	0.097185
enterpreneurs	0.096899
delegation	0.0964164
"interest group"	0.0959184
"business interest"	0.0953006
leader	0.0952943
military	0.0952856
corporation	0.0951406
farmer	0.0947316
circle	0.0938331
"business organization"	0.093808
statesmen	0.0935502
employer	0.0935169
resident	0.0932404
official	0.093019
legislator	0.0929505
administration	0.092942
diplomat	0.0929211
enterprise	0.0929105
"central bank"	0.0928551
constituent	0.0926632
"international organization"	0.091664
"council member"	0.0912724
party	0.0911299
organisation	0.09112
ministry	0.0909396
"military leader"	0.090875
"banking industry"	0.090756
"social group"	0.090358
"public opinion"	0.089596
policy-makers	0.0893811
"high commissioner"	0.0892445
academic	0.0891509
scientist	0.0890735
compatriot	0.0888852
grower	0.0887397
"U.N. agencies"	0.0886535
"foreign minister"	0.0877615
activist	0.0875583
"social organization"	0.0874453
congressmen	0.0873918
developer	0.0872964
business	0.0871717
manufacturer	0.086589
multinationals	0.0861901
"financial organization"	0.0860306
agency	0.0859434
"labor movement"	0.0851445
member	0.0848232
voter	0.0846102
landowner	0.0844392
Congress	0.0841085
Arab	0.0837836
parliament	0.083573
Ambassador	0.0827337
OAU	0.0827083
shipper	0.0825845
automakers	0.082481
union	0.0822375
"finance minister"	0.0822207
nation	0.0820096
association	0.0817999
"African country"	0.0817503
advocate	0.081742
"United Nations agency"	0.0817133
"civic leader"	0.0817114
trader	0.0817062
"law enforcement"	0.0814534
"labor leader"	0.0814282
"world leader"	0.0813907
intellectual	0.0813424
airline	0.081253
leadership	0.0811096
"commercial bank"	0.0809989
"mass media"	0.0804829
decision-makers	0.0800545
"head of state"	0.0799216
citizenry	0.079819
"shipping company"	0.0797699
expert	0.079699
"member country"	0.0794276
policymakers	0.0791422
SMEs	0.0791198
"walk of life"	0.0790863
"entertainment industry"	0.078914
participant	0.0786967
ally	0.0785566
counterpart	0.0785236
educator	0.078052
legislature	0.0780338
bank	0.0776989
Judiciary	0.0776622
academia	0.0776411
insurer	0.0774544
press	0.0773274
"United Nations"	0.0769787
delegate	0.0765092
"federal government"	0.0764866
"police department"	0.0764562
"African National Congress"	0.0763479
"film industry"	0.0763436
Democrat	0.0762772
"trading partner"	0.0762488
conservative	0.0762456
economy	0.076134
"medical profession"	0.0761275
elite	0.0758888
Chinese	0.0755812
advertiser	0.0755345
"Ministry of Health"	0.0754872
scholar	0.0754201
"Catholic Church"	0.0754186
department	0.0753145
operator	0.0751553
federation	0.0751289
UNHCR	0.0749965
"computer industry"	0.0749418
"World Bank"	0.07493
journalist	0.0748681
"oil industry"	0.0748291
"mining company"	0.0748048
university	0.074788
"union member"	0.0745965
"civil servant"	0.0745006
electorate	0.0744376
firm	0.0737491
"stock exchange"	0.0737225
labor	0.0736252
"educational institution"	0.0735062
"military officer"	0.0734691
professional	0.073468
"venture capitalist"	0.0734303
"diplomatic mission"	0.0734172
faction	0.073155
opposition	0.0729019
representative	0.072838
minister	0.072601
"police force"	0.0724467
creditor	0.0723668
"cabinet minister"	0.0723297
researcher	0.0723036
"Wall Street analyst"	0.072263
"Communist Party"	0.0722489
"Democratic Party"	0.0721601
lender	0.0721201
"Security Council"	0.0721097
countrymen	0.0720958
"International Monetary Fund"	0.0718297
"legal expert"	0.0717724
"European country"	0.0717704
Republican	0.0715789
Council	0.0714951
embassy	0.0712308
"insurance company"	0.0710902
police	0.0710143
population	0.070783
NAACP	0.0707367
))
("business condition" (desc 2643.12) (sims
"economic condition"	0.240729
"market condition"	0.209433
"investment climate"	0.192995
"growth prospect"	0.146435
"financial condition"	0.144032
"trade balance"	0.132773
"weather conditions"	0.122616
"environmental condition"	0.102869
"standard of living"	0.102802
"job market"	0.10016
"balance of payments"	0.096567
fundamental	0.0952014
"investor confidence"	0.0951415
outlook	0.0938481
"business activity"	0.0933249
"cost structure"	0.0901507
"quality of life"	0.0900385
"balance of trade"	0.0888457
"liquidity problem"	0.0884935
prognosis	0.0880545
"cash crunch"	0.084133
eyesight	0.0834978
"sanitary condition"	0.0831614
"price pressure"	0.0824645
creditworthiness	0.0815208
profitability	0.080906
"electronics industry"	0.0801504
"housing industry"	0.0781851
"political relation"	0.0774964
"earnings growth"	0.0772764
"labor market"	0.0768075
"consumer demand"	0.0736443
"technological revolution"	0.0735179
skittishness	0.0726322
"business cycle"	0.0715055
"exchange rate"	0.0698831
downtrend	0.0695495
punctuality	0.0688245
competitiveness	0.0678641
liquidity	0.0672444
viability	0.0665904
downturns	0.066248
crunch	0.0659061
"balance sheet"	0.0658181
"low-fat diet"	0.0654443
"mental state"	0.0648526
"housing market"	0.064457
"equity market"	0.0630203
downturn	0.061864
"home sale"	0.0617606
"tax collection"	0.06114
turbulence	0.0608021
"public security"	0.060725
"weather forecast"	0.0606307
"military capability"	0.0602444
"golf game"	0.0600624
"management personnel"	0.0597691
"customer service"	0.0596482
upturn	0.0590963
hypotheses	0.058979
"atmospheric condition"	0.0588979
"test score"	0.0586724
fitness	0.05854
overcapacity	0.0583168
"unemployment rate"	0.0582807
uptrend	0.0580527
"cold snap"	0.0577761
oversupply	0.0572987
hotspots	0.0569511
"world economy"	0.0565317
"corporate executive"	0.0565066
reliability	0.0564458
"earnings report"	0.0562947
demographics	0.0555618
"foot traffic"	0.0553942
"rate of inflation"	0.0551114
"bond price"	0.0550788
"wage increase"	0.0549192
competency	0.0547078
morale	0.0539195
"producer price"	0.0538994
"debt problem"	0.0536383
worthiness	0.053517
"bond market"	0.0534775
"employment growth"	0.053351
sufficiency	0.0532757
"trade relation"	0.0529581
"state of affairs"	0.0528563
"vehicle sale"	0.0526841
"economies of scale"	0.0526558
lifestyles	0.0525472
sluggishness	0.0524608
realignment	0.0522917
sanitation	0.0519311
"retail sale"	0.0517796
"electoral system"	0.0515833
mobility	0.0515185
match-ups	0.0514211
utilization	0.0513806
softness	0.0513042
volatility	0.0512001
preparedness	0.0510826
cleanliness	0.0508637
"money supply"	0.0508066
joblessness	0.0506971
"co- operation"	0.0504643
shakeout	0.0504623
breadth	0.0503123
"computer technology"	0.0500909
"insurance market"	0.0497963
"rate cut"	0.0497417
"business processe"	0.0493256
"mortgage rate"	0.0488141
"elephant population"	0.0487763
"price fluctuation"	0.0485955
downslide	0.0482387
"cost of living"	0.0481548
"price cutting"	0.0481114
buoyancy	0.0479176
"communications technology"	0.0477007
"Princess Mononoke"	0.0476754
footwork	0.0474728
FDI	0.0474087
ebullience	0.0473892
fluctuation	0.0472431
meltdowns	0.0472142
"transportation system"	0.0470948
"mental health"	0.0470559
"occupancy rate"	0.0469666
matchups	0.0465014
"profit margin"	0.0462322
"urban planning"	0.0461201
"labor cost"	0.0460458
ecology	0.0459692
"price competition"	0.04567
"Zimbabwean dollar"	0.0456201
"truck sale"	0.0456058
"pecking order"	0.0455132
"balance of power"	0.045481
heatwave	0.0454426
"competitive advantage"	0.0449506
"teaching method"	0.044832
"housing sale"	0.0448075
"contagious disease"	0.044788
"earnings disappointment"	0.0447296
"hard times"	0.0447028
gloom	0.0447008
dynamics	0.0446817
interoperability	0.0445459
"capital investments"	0.0443557
"wholesale price index"	0.0443109
"crime rate"	0.0442935
downsizing	0.0442807
aquaculture	0.0442336
bullishness	0.0442185
contraction	0.0439606
"business establishment"	0.0439384
downdraft	0.0438562
"sales outlet"	0.0438351
"distribution system"	0.0436728
inequality	0.0436097
"drug problem"	0.0433647
"medical science"	0.0433388
"social status"	0.0432348
attractiveness	0.0432076
affordability	0.0431502
"admission price"	0.0431387
lethargy	0.0431161
"order book"	0.0430897
"weather satellite"	0.042988
"academic program"	0.0428381
"political boss"	0.0428344
hygiene	0.0426824
"tax treatment"	0.042575
Iliescu	0.0425119
"internal control"	0.0424592
"factory order"	0.0424176
competence	0.0424173
"vocational training"	0.042407
deforestation	0.0422909
"tax base"	0.0422697
"retirement age"	0.0422407
"credit rating"	0.0421943
self-image	0.0421605
"crisis situation"	0.0421329
resilience	0.0420099
"Parent Trap"	0.0419302
acoustic	0.0419103
responsiveness	0.0418882
self-regulation	0.0418261
CPI	0.04179
"leading indicator"	0.0417197
foothold	0.0415742
tailspin	0.0414244
"credit system"	0.0414013
"market penetration"	0.0413411
depreciation	0.0412742
"trade barrier"	0.0412255
probability	0.0411147
sell-off	0.0408054
))
("Business Council" (desc 909.768) (sims
"Democratic Leadership Council"	0.16793
"Log Cabin Republicans"	0.156931
"Federal Open Market Committee"	0.151465
"Securities Industry Association"	0.151224
"Families USA"	0.149355
JMC	0.143634
"Wine Institute"	0.141006
"Handgun Control Inc."	0.140133
"Republican Leadership Council"	0.137082
"Commission on Presidential Debates"	0.134618
"Handgun Control"	0.134559
GOPAC	0.134313
"Supreme Council"	0.133924
"National Council of La Raza"	0.13387
DLC	0.133416
AmCham	0.129683
"U.S. Soccer Federation"	0.125508
"Congressional Black Caucus"	0.124259
"Ethics Commission"	0.124009
"Housing Authority"	0.122507
"National Gambling Impact Study Commission"	0.121189
"Violence Policy Center"	0.121075
NSC	0.120889
"Transparency International"	0.120213
"National Alliance"	0.118661
NARAL	0.117091
"District Council"	0.116239
"Operation Lifeline Sudan"	0.116157
"Cuban American National Foundation"	0.115904
"American Association of Health Plans"	0.115627
"Air Transport Association"	0.11525
"League of Conservation Voters"	0.11515
TrustE	0.114321
"American Petroleum Institute"	0.112483
SSB	0.111811
"World Jewish Congress"	0.111779
"Electronic Frontier Foundation"	0.111148
AARP	0.110964
"General Council"	0.108812
"World Church"	0.108638
"Nahdlatul Ulama"	0.108233
taskforce	0.107175
"Appropriations Committee"	0.106092
Presidium	0.105806
"Joint Military Commission"	0.105389
CDB	0.104155
"Joint Commission"	0.103941
"Human Rights Commission"	0.102512
"Electoral Commission"	0.102099
IGC	0.101989
"Culture Ministry"	0.101436
"National Abortion and Reproductive Rights Action League"	0.101416
"Council of Economic Advisers"	0.100839
G-@@	0.100412
"Andean Group"	0.100323
"Board of Elections"	0.100106
"Judicial Watch"	0.0998753
"Urban Institute"	0.0994505
OCA	0.0990136
"Human Rights Campaign"	0.0987583
"Organizing Committee"	0.0987298
"Nuclear Regulatory Commission"	0.0987231
SDB	0.0982046
"ethics committee"	0.0981714
"National Democratic Alliance"	0.0979669
"Atomic Energy Commission"	0.0978727
"military commission"	0.0977515
"Commonwealth Ministerial Action Group"	0.0976422
"Palestinian Council"	0.0971761
"steering committee"	0.0966928
Eximbank	0.0966345
"American Association of Retired Persons"	0.0963174
"Provisional Urban Council"	0.0960019
"National Education Association"	0.0958041
"Jerusalem Committee"	0.0955415
"Public Service Commission"	0.0952569
"National Republican Congressional Committee"	0.094732
"British Foreign Office"	0.0945142
"interim committee"	0.0943355
"Promise Keepers"	0.092308
"International Society"	0.0920868
"Palestine National Council"	0.0917994
"Common Cause"	0.0915952
"Center on Budget"	0.0912716
AAA	0.0910512
"Conference Board"	0.09051
"Organization for Economic Cooperation and Development"	0.0899507
"Kaiser Family Foundation"	0.0899417
"Electronic Privacy Information Center"	0.0894131
"U.N. Millennium Summit"	0.089184
"Anti-Defamation League"	0.0886982
IPU	0.0884436
CMAG	0.0880685
"Motion Picture Association of America"	0.0879597
AOC	0.08756
"Commission on Human Rights"	0.0875023
"Sam Rainsy Party"	0.0874299
"USA Basketball"	0.0869413
"Paris Club"	0.086888
ICC	0.0868077
"Western European Union"	0.0864952
"Public Security Ministry"	0.0863722
"PLO Executive Committee"	0.0861749
"International Rescue Committee"	0.0858144
PECC	0.085793
CIRC	0.085673
"Congress Working Committee"	0.0854205
UFW	0.0853424
OECD	0.0852529
"search committee"	0.0850586
"Real IRA"	0.0848332
"Family Research Council"	0.0847316
BSA	0.084529
"stock company"	0.0844454
"American Academy of Pediatrics"	0.0841991
CEC	0.0840751
plc	0.0838051
"Pan Africanist Congress"	0.0835561
INTERFET	0.0834785
CMA	0.0834101
"executive council"	0.0833809
HKTA	0.0826783
"football league"	0.0823524
"Federal Deposit Insurance Corp."	0.0822229
RNC	0.0820473
USATF	0.0820167
"Provisional Legislative Council"	0.0819473
"National Association of Securities Dealers"	0.0817959
HHS	0.0816284
"Institute of Medicine"	0.081492
"ASEAN Regional Forum"	0.0813286
inspectorate	0.0812873
"Urban League"	0.0812796
"US State Department"	0.0812686
"Recording Industry Association of America"	0.0812458
"Public Citizen"	0.0811533
"Association of Flight Attendants"	0.0810988
"Allied Pilots Association"	0.0810021
"National Urban League"	0.0809576
"National Council"	0.0806785
PATA	0.0806661
"National Economic Council"	0.0806092
"Nevada Athletic Commission"	0.0804596
"Palestinian National Council"	0.0803937
"Texas Department of Public Safety"	0.0802065
"Rio Group"	0.0800656
"Christian Coalition"	0.0800445
"Supreme Soviet"	0.0800386
"Central Council"	0.0799293
"Monetary Policy Committee"	0.079877
"Media Partners"	0.0798201
"World Petroleum Congress"	0.0798145
"advisory board"	0.0797863
"Selection Committee"	0.079647
"Board of Supervisors"	0.0795987
"Center for Democracy"	0.0794688
"Foreign Affairs Committee"	0.0791884
"Airport Authority"	0.0791555
"Rules Committee"	0.0790659
ICTR	0.0788717
"House Budget Committee"	0.0788447
"Federal Council"	0.0786358
"Federal Reserve Board"	0.0784603
Marketspan	0.0784165
"National Committee"	0.0783519
"Hong Kong Tourist Association"	0.0782094
DEP	0.0780871
KNU	0.0780843
"Ways and Means Committee"	0.0779341
"House Banking Committee"	0.0779098
"College Board"	0.0777925
"Democratic Congressional Campaign Committee"	0.0777684
Bundestag	0.0774907
"work group"	0.0770331
IEA	0.0769431
"Kosovo Verification Mission"	0.0765554
"Damascus Declaration"	0.076462
"Salt Lake Organizing Committee"	0.0762064
NAM	0.0760991
"Labor office"	0.0759227
"Labor Ministry"	0.0758799
COSATU	0.075858
UUP	0.075638
"Nevada State Athletic Commission"	0.075587
AFA	0.075558
"National Association"	0.0751892
"EU Commission"	0.0750645
"Sierra Club"	0.0750115
PNC	0.0748936
"Israeli Foreign Ministry"	0.0748218
KPA	0.0747985
"Orange Order"	0.0746897
CPSC	0.0742711
"Arab Parliamentary Union"	0.0741837
"Election Committee"	0.0740235
CCB	0.0737769
ARF	0.0736445
"NFL Players Association"	0.0736441
TDC	0.0734498
APA	0.0734295
))
("business cycle" (desc 3280.63) (sims
"price fluctuation"	0.0787303
"business condition"	0.0715055
"growing season"	0.0694169
"academic year"	0.0684317
Christmases	0.0677517
"basketball season"	0.0644558
"bear market"	0.0634483
"bull market"	0.0632414
"life cycle"	0.0629035
"cold spell"	0.062658
"tax system"	0.0622
"money supply"	0.0615567
workday	0.0607946
"housing market"	0.0603922
"public opinion"	0.0585694
"employment growth"	0.0579706
continuum	0.0545378
"rule of evidence"	0.0543645
fluctuation	0.0528341
"economic condition"	0.0527718
"baseball season"	0.0527369
"inheritance tax"	0.0527024
"life style"	0.0526246
"food chain"	0.0523104
horse-trading	0.0522046
"market condition"	0.052169
turbulence	0.0521473
AMT	0.0521464
"rainy season"	0.0521413
"closed-end fund"	0.0519584
"world economy"	0.0519048
"business activity"	0.0515249
shakeout	0.0512697
"transition period"	0.0512438
"medical practice"	0.0498665
ballgame	0.049581
"home sale"	0.0494955
"pecking order"	0.0494099
"caste system"	0.049404
upheaval	0.0492406
"ice age"	0.0491016
"abortion law"	0.0489594
"jet stream"	0.047867
"Balkan Wars"	0.047351
"working day"	0.0471133
"bowling ball"	0.0471053
"hundred years"	0.0470887
"common law"	0.0468955
"flight path"	0.0467933
"presidential term"	0.0467369
decomposition	0.0465465
"power structure"	0.0465217
volatility	0.046475
midstream	0.046469
"form of government"	0.0464228
"legal proceeding"	0.0464001
"estate tax"	0.0462664
SIDS	0.046249
"slave trade"	0.0461441
"social science"	0.0461051
"Bull Run"	0.0460968
dynamics	0.0460718
"solar eclipse"	0.0459814
"investment climate"	0.0457325
"securities market"	0.0456454
"bond price"	0.0456154
"football season"	0.045468
"totem pole"	0.0453804
"Ryder Cups"	0.0452011
UFO	0.045167
"price pressure"	0.0451415
pullbacks	0.0451327
rollout	0.0449162
"labor cost"	0.0447968
damming	0.0445908
boomlet	0.0444538
"dry season"	0.0444341
eugenics	0.044402
subjugation	0.0443752
"balance of power"	0.0443673
demographics	0.0443294
homelessness	0.0443123
wavelength	0.0442816
"work day"	0.0439598
lifestyles	0.0439456
"batting order"	0.0437912
"cold snap"	0.0436325
"circadian rhythm"	0.0436104
"school day"	0.0434851
jurisprudence	0.0433551
colonialism	0.0432861
"state of affairs"	0.0432658
papacy	0.0432657
"tour of duty"	0.0430797
metabolism	0.0429655
rulebook	0.0428289
"labor agreement"	0.0427821
gestation	0.0426384
"professional life"	0.0425896
"tax treatment"	0.0425893
tumult	0.0425506
"French Revolution"	0.0424896
hyperinflation	0.0423629
downturns	0.0423524
"Homo erectus"	0.0422905
Obesity	0.0422438
"electoral system"	0.0420198
"calendar year"	0.0420031
"Death Valley"	0.041989
electioneering	0.0419692
"natural science"	0.0418256
uptrend	0.0415372
Giro	0.0413062
pollination	0.0412513
transplantation	0.0410568
clitoris	0.0409587
downtrend	0.0409461
"distribution system"	0.0409331
"top dog"	0.040932
"time scale"	0.0408488
"gestation period"	0.0408214
"labor market"	0.040791
"cost of living"	0.0407296
NPLs	0.0407022
"trade policy"	0.0405603
draught	0.0405482
macro-economy	0.0405478
headcount	0.0405183
viewership	0.0405113
GST	0.040401
contraction	0.0403847
trajectory	0.0402416
workweek	0.0402263
"political system"	0.0402211
"consumer demand"	0.0400837
"cancer death"	0.0400785
"El Nino"	0.0400484
))
("Business Day" (desc 1848.06) (sims
"East African Standard"	0.421485
Sowetan	0.416552
"Alam Al Yom"	0.398932
Noticias	0.380269
"Al Ahram"	0.371489
"Khaleej Times"	0.37116
"New Nigerian"	0.365606
"Kenya Times"	0.36192
"Tehran Times"	0.35666
"New Vision"	0.354781
Hurriyet	0.352978
"Indonesian Observer"	0.33595
"Daily Nation"	0.33427
"Gulf News"	0.333426
Haaretz	0.32654
"Egyptian Gazette"	0.324834
"The Monitor"	0.315139
"Al Hayat"	0.311406
"Straits Times"	0.30874
"Jordan Times"	0.307898
"Jakarta Post"	0.306409
Maariv	0.305903
al-Hayat	0.300741
"Nihon Keizai"	0.297689
"Nihon Keizai Shimbun"	0.296727
"Business Times"	0.295206
"El Mundo"	0.293291
"Jerusalem Post"	0.293197
"Daily Star"	0.293195
"Bangkok Post"	0.292992
"Vietnam News"	0.291283
"Zambia Daily Mail"	0.284364
"Daily Times"	0.284156
"Moscow Times"	0.282223
"Ethiopian Herald"	0.280096
"Post Express"	0.273757
"Iran News"	0.273203
Al-Ahram	0.271833
"El Pais"	0.270181
"The New Vision"	0.26757
"Kathmandu Post"	0.267322
"South China Morning Post"	0.264417
Angop	0.263826
L'Equipe	0.261166
"Financial Mail"	0.257042
"Yediot Ahronot"	0.254099
Kommersant	0.251069
Malaya	0.250613
"Kyodo News"	0.249425
"New Light"	0.248282
"East African"	0.243082
"Kyodo News Service"	0.241988
"Le Figaro"	0.238511
"Saudi Press Agency"	0.22795
"China Daily Business Weekly"	0.22521
"Korean Central News Agency"	0.223177
"Le Monde"	0.22199
Antara	0.221953
"Philippine News Agency"	0.221229
Salam	0.220483
Politika	0.21733
"Macao Daily News"	0.212847
"Thai News Agency"	0.212039
"Yomiuri Shimbun"	0.211573
"Sydney Morning Herald"	0.209644
"Egyptian Middle East News Agency"	0.208966
"Kuwait News Agency"	0.208697
Bild	0.207814
Reforma	0.203363
"Agence France Presse"	0.203272
Lusa	0.202498
"Asahi Shimbun"	0.20206
Asahi	0.200416
"Business Weekly"	0.197754
Granma	0.194762
Ansa	0.192559
"Iraqi News Agency"	0.191799
"Daily Mail"	0.191591
"U.S. Labor Department"	0.190931
"Associated Press of Pakistan"	0.190781
Al-Thawra	0.190216
Herald	0.189255
"New Straits Times"	0.187735
Izvestia	0.185398
"News Agency of Nigeria"	0.183113
"Southern African Broadcasting Association"	0.182555
"Press Trust of India"	0.182329
"South African Press Association"	0.181817
"Radio Uganda"	0.181398
Petra	0.179415
Bernama	0.178843
Sera	0.178738
"Daily Telegraph"	0.175907
"Turkish Daily News"	0.175862
"Ghana News Agency"	0.175333
"Beijing Daily"	0.174399
"Islamic Republic News Agency"	0.174235
"Australian Associated Press"	0.173919
"British Broadcasting Corporation"	0.173657
"Ethiopian News Agency"	0.171324
"Wenhui Daily"	0.170601
"Guangming Daily"	0.16886
"Financial Times"	0.167346
"Vietnam News Agency"	0.166608
Kyodo	0.16586
Yomiuri	0.165253
"Zambia News Agency"	0.164585
Inquirer	0.164298
Tass	0.163675
"Middle East News Agency"	0.163578
Tanjug	0.161522
"Rwanda News Agency"	0.16025
"Rodong Sinmun"	0.159328
"Koha Ditore"	0.157243
"Anatolia News Agency"	0.156056
"Agence France-Presse"	0.154807
MENA	0.1548
"National Post"	0.154548
ATA	0.153679
"Daily News"	0.153341
"Seattle Times"	0.153149
KPL	0.152173
IRNA	0.151546
ABS-CBN	0.151412
AFP	0.150882
"Zimbabwe News Agency"	0.150703
"Statistics Canada"	0.149825
"Israel Radio"	0.149261
"China Daily"	0.149147
MTI	0.148947
"Athens News Agency"	0.148669
"Antara News Agency"	0.148264
"Dow Jones Newswires"	0.146766
"USA TODAY"	0.146637
BS	0.145982
SAPA	0.145822
"China Youth Daily"	0.140488
WAM	0.139048
"Nhan Dan"	0.138961
"Cyprus News Agency"	0.137593
"Washington Times"	0.134682
Notimex	0.134282
CTV	0.132519
"Wen Wei Po"	0.12784
"Washington Post"	0.123247
"U.S. Commerce Department"	0.12302
Dominion	0.121827
"Wall Street Journal"	0.121354
Eurostat	0.120392
"Detroit News"	0.113714
"press agency"	0.113071
"Australian Bureau of Statistics"	0.113008
Anatolia	0.112933
"New York Post"	0.112534
TC	0.11232
"Evening Standard"	0.111856
"Dallas Morning News"	0.111807
"Denver Post"	0.111515
"National Association of Realtors"	0.111385
Reuters	0.109596
Guardian	0.109184
Interfax	0.107635
gazette	0.105691
NTV	0.105545
KUNA	0.105128
INA	0.105021
Times	0.104042
"Xinhua News Agency"	0.103841
"United Press International"	0.102555
"Miami Herald"	0.101796
RSS	0.101667
"Los Angeles Times"	0.101218
Itar-Tass	0.100526
PTI	0.100501
"Press Trust"	0.100407
Tous	0.100321
"Economic Daily"	0.0997801
broadsheet	0.0990508
APP	0.0966542
Jana	0.0966223
Sabah	0.0964781
"New York Daily News"	0.0954719
"Chicago Tribune"	0.0954616
"Boston Herald"	0.0950977
"Der Spiegel"	0.0947808
Domingo	0.0937493
"Detroit Free Press"	0.0937259
Babel	0.0931669
telegraph	0.091387
"Information Center"	0.089964
Brasil	0.0894335
Tennessean	0.0889326
Botswanan	0.0886496
Akbar	0.0885524
"Hartford Courant"	0.0866973
frontpage	0.0862277
"Jerusalem Media and Communication Center"	0.0843154
PAP	0.0841194
BBC	0.0836512
API	0.0826689
))
("business development" (desc 8104.02) (sims
"product development"	0.203998
"strategic planning"	0.184286
merchandising	0.135418
marketing	0.123447
e-business	0.0979915
"sales promotion"	0.0945994
"customer service"	0.0945819
engineering	0.0908299
entrepreneurship	0.0892489
"information system"	0.0889726
planning	0.0874752
"information service"	0.0862666
counterterrorism	0.085859
"city planning"	0.0828665
"information technology"	0.082049
banking	0.0816247
communication	0.0808833
logistics	0.0803122
"business enterprise"	0.0800666
"Humane Society"	0.0792587
"quality control"	0.0791899
"e- commerce"	0.0782032
procurement	0.0770273
manufacturing	0.0750948
"computer operation"	0.0730328
"retail operation"	0.0727611
"network programming"	0.071289
industrialization	0.0707039
scouting	0.070572
e-commerce	0.0698668
conservation	0.0687645
imaging	0.0687066
"family planning"	0.068594
lending	0.0679762
programming	0.0677564
retailing	0.0664492
outreach	0.0657392
"health service"	0.0656881
forecasting	0.0656142
commercialization	0.064782
consultancy	0.0645311
aviation	0.0642131
Promotion	0.0642091
diversification	0.0636161
commerce	0.0635175
"trade policy"	0.0634052
"senior vice president"	0.0633153
"vocational training"	0.0632678
"business activity"	0.0630652
distribution	0.063051
innovation	0.0629311
"real estate"	0.0622686
"Services division"	0.0619285
"National Organization"	0.0618999
standardization	0.0616336
"advertising agency"	0.0613663
"public works"	0.061206
advancement	0.061181
modernization	0.0610293
philanthropy	0.0609956
"civil defense"	0.0609948
counterintelligence	0.0608219
reemployment	0.0602492
arbitrage	0.0601102
afforestation	0.0593707
"urban planning"	0.0592304
"Yankee Group"	0.0591793
"R&AMP;D"	0.0589622
"adult education"	0.0589285
employment	0.0587892
tourism	0.0586467
Liberalization	0.0581626
financing	0.0581273
profitability	0.0580938
"Barneys New York"	0.0578598
"data processing"	0.0576689
"population control"	0.0573346
"social welfare"	0.0571135
"business unit"	0.0571033
"high technology"	0.0567743
aerospace	0.0564736
"Planned Parenthood"	0.0563051
"Delta @"	0.0562875
"Kraft Foods"	0.0560339
preservation	0.055745
BBDO	0.0555589
enforcement	0.0554783
branding	0.0554204
"life science"	0.0553009
"New York Civil Liberties Union"	0.0551453
"publishing company"	0.0549417
"Securities Industry Association"	0.054868
"growth prospect"	0.0547613
"National Audubon Society"	0.0545748
broadcasting	0.0545173
warehousing	0.0544356
"academic program"	0.0543267
resettlement	0.0540049
accounting	0.0539769
"marketing effort"	0.0538848
"cost cutting"	0.0537764
equity	0.0536996
transportation	0.0536699
productivity	0.0534435
"Visa International"	0.0529035
refining	0.0528246
integration	0.052756
"United Way"	0.0527052
utilization	0.0526998
recruitment	0.0526697
Privatization	0.0525291
"development strategy"	0.0521853
"vocational education"	0.0521052
sponsorship	0.0518828
"International Rescue Committee"	0.0518332
democratization	0.0517778
maintenance	0.0514998
"venture capital"	0.0511223
"distribution network"	0.0511134
endocrinology	0.0510906
processing	0.0508958
homeownership	0.0508932
aeronautics	0.050837
shareholding	0.050796
retail	0.0506656
"housing sale"	0.0506583
Asia-Pacific	0.0506128
"working capital"	0.0504694
USAID	0.0504098
scheduling	0.0503625
"training program"	0.0502786
stabilization	0.0502575
"consulting company"	0.050092
"tax policy"	0.0500821
"Common Cause"	0.0499898
exploration	0.0499637
"foreign exchange"	0.0499548
"U.S. Chamber of Commerce"	0.0499438
urbanism	0.0497614
publishing	0.0497563
"National Economic Council"	0.0497141
"National Association of Manufacturers"	0.0495902
competitiveness	0.0492255
horticulture	0.0491303
restructuring	0.0490817
Wellness	0.049077
"communicable disease"	0.0487807
"social service"	0.0486748
prevention	0.0486505
automation	0.0485888
redevelopment	0.0484436
"decision making"	0.0483942
formulation	0.0482736
catering	0.0481192
diversity	0.0479437
networking	0.0476385
facilitation	0.0473301
"economic policy"	0.0473263
"American Petroleum Institute"	0.0472846
"Human Rights Campaign"	0.0472721
nursing	0.0472668
bioengineering	0.0472328
"arms control"	0.0472106
alleviation	0.0472094
recreation	0.0471803
"expansion plan"	0.0470949
"consulting firm"	0.0470696
hiring	0.04703
"business plan"	0.0470261
"International Finance Corporation"	0.0470178
"Heritage Foundation"	0.0469728
taxation	0.0468011
"futures trading"	0.0463341
redistribution	0.0462484
"marketing program"	0.0462279
in-house	0.0462116
"development center"	0.0460981
"mental health"	0.0460499
"software product"	0.046025
empowerment	0.045979
know-how	0.0459726
"product line"	0.045951
governance	0.0458672
KPA	0.0458056
literacy	0.0457883
forestry	0.0457373
"education program"	0.0453926
consolidation	0.0453775
telecommunication	0.0453572
"chamber of commerce"	0.0452965
"commercial activity"	0.0452312
"monetary fund"	0.0450805
mining	0.0450593
"Salt Lake Organizing Committee"	0.0450254
"job cut"	0.0450133
"free trade"	0.0449493
urbanization	0.0449413
computing	0.0448803
"flood control"	0.0448214
"market share"	0.0447573
))
("business district" (desc 9975.97) (sims
downtown	0.122375
"city center"	0.113437
suburb	0.108031
Chinatown	0.104135
neighborhood	0.102503
district	0.100149
"suburban area"	0.0927292
"shopping center"	0.0852875
"French Quarter"	0.0849865
thoroughfare	0.0845193
"main street"	0.0844076
slum	0.0795658
skyline	0.0793547
"urban area"	0.0790107
waterfront	0.077715
subdivision	0.0753078
"railway station"	0.0736791
square	0.0722271
Suva	0.0708632
plaza	0.0691777
shantytown	0.0690586
"North End"	0.0688265
riverfront	0.0680352
lakefront	0.0676524
"red-light district"	0.0673171
boulevard	0.0663379
"bus terminal"	0.0646143
outskirt	0.0639001
"shopping mall"	0.062677
"residential district"	0.0623023
Pudong	0.0622173
mall	0.061977
ASHEVILLE	0.0619606
"inner city"	0.0618633
Port-au-Prince	0.0613642
"Pudong New Area"	0.0609301
"water system"	0.0603236
"city block"	0.0600608
"train station"	0.0599501
"central city"	0.0598017
Makhachkala	0.0596207
"railroad station"	0.0590863
"Santo Domingo"	0.0589467
metropolis	0.0587842
cemetery	0.0586344
harbor	0.0585326
Midtown	0.0581629
township	0.0581227
"West End"	0.0580554
"bus station"	0.0578721
"Washington Heights"	0.0577137
"Old City"	0.0573968
"East New York"	0.056845
avenue	0.0562421
nightlife	0.0553535
skyscraper	0.0552692
"financial center"	0.0549491
ghetto	0.0547698
subway	0.0546634
"Pearl River Delta"	0.0546331
"Yangtze River Delta"	0.054464
"Times Square"	0.0538536
Jakarta	0.0538145
Tangshan	0.0533132
landmark	0.0530443
mosque	0.0529995
"industrial park"	0.0529268
"Midtown Manhattan"	0.0526356
"north side"	0.0525462
"Little Italy"	0.0525007
"public square"	0.0521124
"Old Town"	0.0519303
"housing development"	0.051692
intersection	0.0515304
"main road"	0.0514924
"Taklimakan Desert"	0.0514175
Wichita	0.05132
"Oklahoma City"	0.0513052
borough	0.0512175
"office building"	0.0511274
"police station"	0.0510637
"opera house"	0.0507562
"Ho Chi Minh City"	0.0507322
"South Bronx"	0.0504687
"North Beach"	0.0503071
"Phnom Penh"	0.0501155
"Sherman Oaks"	0.0500738
"row house"	0.0499021
"Olympic Park"	0.049825
centre	0.0498171
Istanbul	0.0498017
Dushanbe	0.0497798
"subway station"	0.0497717
Chatsworth	0.0497523
Belfast	0.0497118
"Van Nuys"	0.0496512
"Jersey City"	0.0495629
Quito	0.0494312
Dili	0.0493237
Beirut	0.0492566
"rural area"	0.049241
"Space Needle"	0.0491124
"Daytona Beach"	0.0490102
"boarding house"	0.0489848
COLOMBO	0.0488997
"civic center"	0.0488155
"east side"	0.0487539
Soho	0.0486785
Srinagar	0.0484803
"Union Station"	0.0482457
enclave	0.0480297
"Dead Sea"	0.0478099
"Tel Aviv"	0.0475824
"National Stadium"	0.0475088
"Fort Worth"	0.0474732
"post office"	0.0473307
Urosevac	0.0473111
KAMPALA	0.047304
Alpharetta	0.0472795
"Qaidam Basin"	0.047246
hub	0.0471245
"San Fernando Valley"	0.0470124
"Iranian capital"	0.0469789
Izmit	0.0468234
outskirts	0.046541
Luzon	0.0462877
"south side"	0.0462517
"Central Jakarta"	0.046164
Ambon	0.0461173
freeway	0.0460822
"ring road"	0.0459925
terminal	0.0456499
Algiers	0.0456322
vicinity	0.0455802
"film industry"	0.0455459
"fire station"	0.0455348
waterway	0.0454922
"Greater Boston"	0.0454901
"Little Havana"	0.0454878
Savannah	0.0452703
"Buenos Aires"	0.0452372
Buckhead	0.0452223
"Brighton Beach"	0.0451584
municipality	0.045093
Harlem	0.0448766
Kowloon	0.0448231
Bangkok	0.04482
"Santa Fe"	0.0447115
"provincial capital"	0.0445733
"sewer system"	0.0445266
nightspots	0.0444764
high-rise	0.0443556
underpass	0.0443475
"White Plains"	0.0442914
Huntsville	0.0442774
Marina	0.0442654
"rail line"	0.0442223
TEGUCIGALPA	0.0440953
"rain forest"	0.0438725
"Greenwich Village"	0.0438429
vice-mayor	0.0437915
"Metro Manila"	0.0437904
"transportation system"	0.043502
CARACAS	0.0433659
Cathedral	0.0433145
"more than @@@,@@@ hectares"	0.0433084
"Guatemala City"	0.0432535
Tbilisi	0.043246
"Capital Airport"	0.0432328
"Covent Garden"	0.0431682
"department store"	0.0431282
"market town"	0.0430063
Mankulam	0.0428568
synagogue	0.0426609
"North Island"	0.0426263
sidewalk	0.0426225
Pristina	0.0426159
"Mexico City"	0.0425468
"small town"	0.0425325
Minneapolis	0.042471
"Yangtze River Valley"	0.0423823
"tax base"	0.0422108
depot	0.0421881
"North Shore"	0.0420456
BOGOTA	0.0420233
Glendale	0.0420153
"Bohai Sea"	0.041914
"west side"	0.0418573
Medina	0.0417882
Montclair	0.0417328
JOHANNESBURG	0.0417063
Lijiang	0.0417023
"Silicon Alley"	0.0416441
Bissau	0.0413648
boardwalk	0.0413568
"St. Petersburg"	0.0412018
"Port St. Lucie"	0.0411373
"Summer Palace"	0.0410786
Redding	0.0409946
stockyard	0.0409923
))
("business editor" (desc 1649.39) (sims
"sports editor"	0.234715
"managing editor"	0.209113
editor-in-chief	0.124208
"postmaster general"	0.123582
scoutmaster	0.109724
"art director"	0.0921413
"copy editor"	0.0883619
D.A.	0.0848439
"Secretary of Commerce"	0.0847267
"Secretary of Defense"	0.0815857
"Tex Winter"	0.0808452
"hockey coach"	0.0786099
"fire chief"	0.0781089
"solicitor general"	0.0771451
"Paul Silas"	0.0745956
"state's attorney"	0.0723387
"music critic"	0.0711833
"director of public affairs"	0.0691247
co-editor	0.0681734
"Secretary- General"	0.0669567
"director of research"	0.0669316
climatologist	0.0662195
archivist	0.0644294
grabber	0.0641819
"sports writer"	0.0627368
copywriter	0.0622696
"account executive"	0.0618041
concertmaster	0.0593074
commandant	0.0587837
"stage manager"	0.0587372
"surgeon general"	0.058531
"baseball coach"	0.0585089
"prosecuting attorney"	0.05834
editorialist	0.0580452
COACHES	0.0569401
headmistress	0.0566993
cinematographer	0.0556899
Provost	0.0555737
essayist	0.0546192
solicitor	0.0544009
"town clerk"	0.053797
manger	0.0537182
"public defender"	0.0536671
"special agent"	0.0529342
"altar boy"	0.0525535
constable	0.0521267
"newspaper publisher"	0.0514325
miler	0.051397
"vice chancellor"	0.0513832
"Keith Olbermann"	0.0511002
Registrar	0.0508075
"English professor"	0.0507437
"sports section"	0.050551
attorney-General	0.0502934
"Kurt Rambis"	0.049978
infantryman	0.0492771
"Patricia Smith"	0.0487301
"chairman of the board"	0.0485679
"booking agent"	0.0484411
"Treasury Secretary"	0.0483839
co-owner	0.048328
"theater critic"	0.0477884
"commanding officer"	0.0475968
"Christiane Amanpour"	0.047326
"executive officer"	0.04707
"Black Panther"	0.0466655
"Tina Brown"	0.0466334
co-producer	0.0464696
"Oladipo Diya"	0.0462756
"Dennis Johnson"	0.0458821
"school principal"	0.045764
"Joel Klein"	0.0452761
rector	0.045196
"sales manager"	0.045182
"line coach"	0.0450716
"chief administrative officer"	0.045008
animator	0.0449802
"medical examiner"	0.0448247
"deputy general manager"	0.0446778
"big leaguer"	0.0445792
"Defense Secretary"	0.0441988
"graphic artist"	0.0439836
cameramen	0.0439828
cartoonist	0.0434509
"Islamic Revolution Guards Corps"	0.0434426
Beatle	0.0432664
"information officer"	0.0430911
"television reporter"	0.043013
cameraman	0.0428585
"newspaper editor"	0.0425691
"floor leader"	0.0422894
anchorman	0.0418086
sportswriter	0.0415073
"John Calipari"	0.041391
"aerospace engineer"	0.0413617
"Rhodes Scholar"	0.0412613
wordsmith	0.0411198
"NBA All-Star"	0.0410914
bioethicist	0.0408457
"important person"	0.0406732
"staff officer"	0.0406071
Postmaster	0.0405596
Ombudsman	0.0403711
"English teacher"	0.0400447
prefect	0.0400362
))
("business enterprise" (desc 1591.08) (sims
"closed-end fund"	0.102705
transnationals	0.0847771
"equity fund"	0.084627
"business development"	0.0800666
"commercial enterprise"	0.0773189
"line of products"	0.0748906
whistle-blowers	0.0746032
databank	0.07374
"law practice"	0.0736062
whistleblowers	0.0730681
"industrial enterprise"	0.0720099
joint-ventures	0.0717013
"chain store"	0.0713147
"investment portfolio"	0.0676429
multinationals	0.0645368
"flour mill"	0.0643768
"extracurricular activity"	0.0634762
"investment fund"	0.0626046
medium-sized	0.0622696
resellers	0.0621553
"Internet Service Providers"	0.0620774
shareholding	0.062059
"business interest"	0.0618011
"nest egg"	0.0617562
taskforce	0.0614535
"subsidiary company"	0.0614437
"slush fund"	0.0612252
"art collection"	0.0611946
"religious school"	0.0611847
EPZ	0.0609399
"business activity"	0.0600888
thrift	0.0589643
enterpreneurs	0.0587104
subgroup	0.0584513
"service agency"	0.0580708
"credit system"	0.0579263
"computing system"	0.0575919
corporates	0.0575054
SMIs	0.0572297
"theatrical production"	0.057097
"National Missile Defense"	0.0569937
"business relation"	0.0568138
nonprofits	0.0565372
"communications satellite"	0.0564287
"Medicare HMOs"	0.0563603
"software system"	0.0560946
"finance company"	0.0559052
"manufacturing business"	0.0557169
"tax change"	0.0556976
"business organization"	0.0556596
"business line"	0.0556178
"work group"	0.0555891
"arms deal"	0.0555019
businesspeople	0.0553146
"pressure group"	0.0552166
"farming area"	0.0545927
"joint-stock company"	0.0545424
"equity market"	0.0541656
"bird of prey"	0.053757
"business sector"	0.0534898
"retirement plan"	0.0527661
SOEs	0.0526493
ECN	0.0522631
entrepreneurship	0.0522528
"opera company"	0.0521759
"debt market"	0.0520082
"investment trust"	0.0518978
"insurance business"	0.0518251
EBRD	0.0517836
outreach	0.0516361
divestiture	0.0515083
"retail operation"	0.0514817
"broadcasting company"	0.0514347
enlistee	0.0512144
"insurance firm"	0.051094
cannery	0.0509724
"R&AMP;D"	0.0508576
fiefdom	0.0506974
daycare	0.05049
"bond issue"	0.0502021
"travel agency"	0.050043
parastatals	0.0499972
homepages	0.0498479
pushcart	0.0497248
"sales outlet"	0.0493754
"satellite receiver"	0.0493718
"musical group"	0.0493699
"educational activity"	0.0490027
hatchery	0.0489616
"stock company"	0.0489189
"hundred million dollars"	0.0489056
"financial organization"	0.0488894
"distribution network"	0.0484534
"benefit program"	0.0483223
"consumer credit"	0.0482855
firewalls	0.0482221
"patent office"	0.0478078
"flowering plant"	0.0476882
"radio telescope"	0.0476608
Industries	0.0475851
"academic program"	0.0474009
"endowment fund"	0.0473487
subcontractor	0.0472951
"language school"	0.0471892
"Export Processing Zones"	0.0471785
REIT	0.046973
chipmakers	0.0468803
"equity stake"	0.046743
ISPs	0.0465447
"local area network"	0.0464826
"telecommunication system"	0.0464655
"pilot program"	0.0463696
"blood bank"	0.046263
"applied science"	0.0461865
Britannica	0.0460703
"debt security"	0.0459149
examinees	0.0458337
foreign-funded	0.0458174
"retirement account"	0.0457523
"communications network"	0.0456175
"medical institution"	0.0456001
SMEs	0.0455972
consortia	0.0454765
"music school"	0.0454042
"slip of paper"	0.0453991
"publishing company"	0.0453942
"political movement"	0.0453639
hypotheses	0.0453125
EPZs	0.045272
UNRWA	0.0452625
"Independent Electoral Commission"	0.0452575
bureaus	0.0450565
"support system"	0.0449565
"mining company"	0.0449521
intranets	0.0449467
NMD	0.0448704
"automobile industry"	0.0448175
"mechanical device"	0.044708
"surveillance system"	0.0446603
"geographic area"	0.0445169
"free zone"	0.0445167
monies	0.0445087
OED	0.0444339
"private corporation"	0.0443571
"trust account"	0.0442494
"bus company"	0.0442201
"data system"	0.04416
"shipping company"	0.0441152
"savings bank"	0.0440643
turbot	0.0440002
"Southern Democrats"	0.0439019
"incentive program"	0.0438587
"trading post"	0.0437966
"back office"	0.0437321
philanthropy	0.0436801
"Marshall Plan"	0.0435908
"employment growth"	0.0435689
carmakers	0.0434097
highflier	0.0431742
"retail store"	0.0431497
"paper mill"	0.0430488
"investment house"	0.043015
"medical practitioner"	0.0429603
"software product"	0.0428538
"African Economic Community"	0.0425284
clearinghouse	0.0424292
bleep	0.0423628
"Peter Verniero"	0.042301
"sexual activity"	0.0422652
"employment agency"	0.0422647
"billion yuan"	0.0422344
intranet	0.0422214
licking	0.0422143
led	0.0421843
realignments	0.0420914
declassification	0.0420403
"missionary work"	0.0420046
"life form"	0.0419244
Gunmakers	0.0419051
"regulatory authority"	0.0419023
ISP	0.0418942
megamergers	0.0417403
"bodily function"	0.041726
VCs	0.0415727
"insurance market"	0.0414791
"local department"	0.0414745
bedfellow	0.0414054
metropolises	0.0413881
"social organization"	0.0413695
"marketing effort"	0.0413392
"software package"	0.0412969
"Atomic Energy Commission"	0.0412764
escrow	0.0412623
"brokerage house"	0.0412391
smelter	0.0411698
fests	0.0411545
"growth stock"	0.0411348
websites	0.0411052
contrarian	0.0410703
"ownership stake"	0.0410495
))
("business establishment" (desc 1771.92) (sims
"educational institution"	0.0939861
"house of worship"	0.0875324
eateries	0.0844056
dispensary	0.0815496
"child welfare agency"	0.0782191
"recreational facility"	0.0764314
"National Court"	0.0756164
"business leader"	0.0737511
"civic leader"	0.0729526
"Human Rights Commission"	0.0727264
"medical institution"	0.0727181
"place of worship"	0.0716209
"power structure"	0.0709487
"New York Republicans"	0.0705137
"cash machine"	0.070433
"business community"	0.070311
"day care center"	0.0699605
"Southern Democrats"	0.0693025
"tea house"	0.0690738
"brokerage house"	0.0680935
intelligentsia	0.0680071
"bond rating"	0.0678952
"Financial Supervisory Agency"	0.0677803
cannery	0.0670049
"gasoline station"	0.0668262
"business executive"	0.0662905
"political boss"	0.0642348
"movie house"	0.0641043
criminologists	0.0639272
"lending institution"	0.0633339
"legal community"	0.0626057
"fire station"	0.0625394
nonprofits	0.0624234
"Board of Elections"	0.0616537
fourth-graders	0.0613967
"private corporation"	0.0609132
"Department of Health"	0.0608964
"Orthodox Church"	0.0603839
"beauty parlor"	0.0603008
"Ministry of Economy"	0.0600568
"polling place"	0.0595528
"labor leader"	0.0594795
"Medicare HMOs"	0.0594631
"military installation"	0.0592032
"savings bank"	0.0591823
"water system"	0.0590611
Quebecers	0.0590221
officeholder	0.058616
"planning commission"	0.0582454
"Justice Ministry"	0.0580334
"Council of Guardians"	0.0579469
"Health Department"	0.0577898
"pizza parlor"	0.0575212
"labor union"	0.0574125
"religious order"	0.0574054
"subway station"	0.0573579
"Board of Supervisors"	0.0571176
"beauty salon"	0.0569103
"non-governmental organizations"	0.0568003
"South Carolinian"	0.0567627
"union worker"	0.0562724
"labor movement"	0.0562544
"Orient House"	0.0562419
"financial organization"	0.0562415
"technical school"	0.0562149
"community center"	0.0560876
"finance company"	0.0558826
contras	0.0555008
"main office"	0.0553215
"Transport Ministry"	0.0551159
"Islamic Welfare Party"	0.0548493
"debt problem"	0.0548379
literati	0.0547875
Industrialist	0.0547868
"private school"	0.054736
"Department of Environmental Protection"	0.0544513
"electronics company"	0.0542851
"Wall Street analyst"	0.054208
"trade unionist"	0.0541671
"specialty store"	0.0541625
orphanage	0.0539516
polluters	0.0537729
"work unit"	0.0536776
"Federal Security Service"	0.0536607
preservationists	0.053621
firehouse	0.0534937
"investment house"	0.0532758
"Electoral Commission"	0.0532725
"control board"	0.0532275
"soup kitchen"	0.0532245
"Street Crime Unit"	0.0531391
"ruling class"	0.0530855
oligarch	0.052935
"corporate executive"	0.0527455
"bus terminal"	0.0525815
"Print Shop"	0.05241
"diplomatic mission"	0.0522275
oligarchy	0.0521296
"fire chief"	0.0520408
"Protestant denomination"	0.052006
"electric company"	0.0519958
"business sector"	0.0519802
"power broker"	0.0519746
"Christian church"	0.05193
"Guardian Council"	0.0518727
"petrol station"	0.0518559
"publishing company"	0.051815
"Elyakim Rubinstein"	0.0515551
birthrate	0.0514973
"Health and Welfare Ministry"	0.0513156
"foster child"	0.0511272
"public utility"	0.0511104
"credit bureau"	0.0510817
"religious school"	0.050786
payer	0.0506136
"Self-Defense Forces"	0.0504837
"Orthodox Jews"	0.0504757
"weather forecaster"	0.0499612
sawmill	0.0499251
rank-and-file	0.0494703
Bathhouse	0.0493863
"fire department"	0.0492789
"Omnicom Group"	0.0491711
"planning board"	0.0490666
"dairy farm"	0.0489957
Beijingers	0.0489118
"filling station"	0.0488781
creditworthiness	0.0488744
"construction industry"	0.0488434
"Free Democratic Party"	0.0487986
"Iraqi POWs"	0.0486624
cabby	0.0486296
"business organization"	0.0486171
educationist	0.0485821
"Albanian Kosovo Liberation Army"	0.048582
"ballet company"	0.0485261
"plantation owner"	0.0485051
"tax base"	0.0482102
caseload	0.0481379
"British people"	0.0481026
"public servant"	0.0480049
Eximbank	0.047994
kennel	0.0479699
picketers	0.0479557
"Sri Lankans"	0.047912
"sacred cow"	0.0478126
"branch office"	0.0478108
councilwoman	0.0476967
"machine shop"	0.0476482
"social organization"	0.0476377
"medical community"	0.0476307
delicatessen	0.0476224
shamrock	0.0475776
"U.N. agencies"	0.0475329
"butcher shop"	0.0475036
"film industry"	0.0473067
"health care provider"	0.0471573
"Canary Islands"	0.0470231
"Education Ministry"	0.046989
"insurance firm"	0.0468618
urbanites	0.0468374
landowner	0.0467638
lobstermen	0.0466997
"union member"	0.0466829
"economic expert"	0.0465478
"auto manufacturer"	0.0465375
"Health Ministry"	0.0464227
"management expert"	0.0462877
brothel	0.0462687
"social contract"	0.0462148
"religious movement"	0.0461734
corporates	0.0461664
steeple	0.0461531
"legal profession"	0.0460588
"Police Commission"	0.0460313
"Virtue Party"	0.0459957
"interest group"	0.0458351
"General Committee"	0.0458299
Almighty	0.0458014
gamers	0.0456816
ODA	0.0456686
"regulatory agency"	0.0456421
"Bengal tiger"	0.0456348
"United Nations agency"	0.0455854
"Central Election Commission"	0.0454628
chiropractor	0.0454128
"Frederick Sumaye"	0.045376
"psychiatric hospital"	0.0452526
nightspots	0.0448996
decision-makers	0.0448826
enlistee	0.0448574
transnationals	0.0448097
CWC	0.0448068
gunk	0.0447955
"Texas Democrats"	0.044642
"foster home"	0.0446318
hospice	0.0446175
goer	0.0445637
"vocational school"	0.0444804
populace	0.0444112
))
("business executive" (desc 15897.2) (sims
"business leader"	0.258172
businessmen	0.21518
"government officials"	0.204006
Industrialist	0.198987
"corporate executive"	0.183247
businesspeople	0.182295
entrepreneur	0.16194
banker	0.160695
"military officer"	0.151889
parliamentarian	0.150789
dignitary	0.149883
educator	0.149254
"policy maker"	0.148397
academic	0.14498
journalist	0.141495
"religious leader"	0.138863
enterpreneurs	0.137221
"labor leader"	0.136844
scholar	0.136127
"legal expert"	0.135139
diplomat	0.134426
statesmen	0.125425
"civic leader"	0.12396
"economic expert"	0.123735
policy-makers	0.123648
"Wall Street analyst"	0.12298
"university student"	0.122744
legislator	0.122712
"foreign officials"	0.12247
lawmaker	0.12239
academician	0.122344
professional	0.120494
congressmen	0.119461
politician	0.118714
executive	0.117775
expert	0.117598
"army officer"	0.114572
scientist	0.114491
activist	0.114335
economist	0.113922
environmentalist	0.113803
businessman	0.113033
"newspaper editor"	0.112471
"elected official"	0.111752
"political leader"	0.111275
intellectual	0.110266
"health professional"	0.109696
"military personnel"	0.109278
"cabinet minister"	0.109247
delegate	0.108325
"business community"	0.107112
representative	0.106327
bureaucrat	0.105874
policymakers	0.104384
financier	0.104125
"venture capitalist"	0.103618
jurist	0.102526
clergymen	0.102403
"world leader"	0.102269
exhibitor	0.102238
"civil servant"	0.100673
researcher	0.0991714
"social scientist"	0.0989038
stockbroker	0.0988662
"military leader"	0.0987183
investor	0.0974896
"trade unionist"	0.0969252
agronomist	0.0965608
criminologists	0.0963873
"investment banker"	0.0960688
lobbyist	0.0956163
"college student"	0.0951427
trader	0.0948121
engineer	0.0945781
clergy	0.0940938
"council member"	0.0931708
businesswomen	0.0930008
lawyer	0.0929325
specialist	0.0920977
"staff member"	0.0917878
practitioner	0.0916803
"real estate developer"	0.0912198
philanthropist	0.090652
decision-makers	0.0901075
farmer	0.0898158
technician	0.089786
analyst	0.0897757
staffer	0.0897322
"social worker"	0.0895439
"head of state"	0.0894816
administrator	0.0892833
geologist	0.089206
observer	0.0888354
developer	0.0888131
"union member"	0.0887329
schoolchildren	0.0881816
"labor union"	0.0881459
restaurateur	0.088035
worker	0.087984
merchant	0.0879803
physician	0.087792
Ambassador	0.0871272
"foreign minister"	0.0871162
"interest group"	0.0869785
regulator	0.0868907
advocate	0.0867853
resident	0.0866487
student	0.0865414
cadre	0.0865083
citizen	0.0864585
functionary	0.0860977
planner	0.0857857
doctor	0.0854077
tycoon	0.0851425
commentator	0.0850732
reporter	0.084236
"board member"	0.0839055
cleric	0.0837384
chairmen	0.0835263
participant	0.0834206
donor	0.083405
writer	0.0830403
ethicists	0.0828981
"business organization"	0.0828637
Alumni	0.08284
historian	0.0828117
"faculty member"	0.0827937
manager	0.0826136
"top executive"	0.0824759
"air force officer"	0.0824572
musician	0.0822174
"police officer"	0.0821353
athlete	0.081838
"medical specialist"	0.081818
"management personnel"	0.081742
landowner	0.0814212
teacher	0.0813219
multinationals	0.0810307
"administrative official"	0.0808254
artist	0.0807833
"finance minister"	0.0806917
mathematician	0.0804865
"federal official"	0.0804658
accountant	0.080464
"computer expert"	0.0803009
retiree	0.0802678
"real estate broker"	0.0801573
technocrat	0.0801267
tourist	0.0794786
employee	0.0794106
"trade union"	0.0793512
strategist	0.0789671
linguist	0.0789665
"senior citizen"	0.0784213
guest	0.0781283
Fishermen	0.0780679
"travel agent"	0.0775556
"church member"	0.0775286
seismologist	0.0773864
technologist	0.0773733
"real estate agent"	0.0772092
"military man"	0.0771819
Programmer	0.0770195
expatriate	0.076984
Procurator	0.0769582
"trial lawyer"	0.0768388
delegation	0.0768066
Kuwaiti	0.0766446
architect	0.0765147
visitor	0.0764458
rabbi	0.0762793
pensioner	0.0761968
Jordanian	0.0760987
"public servant"	0.0759286
"civil rights leader"	0.0754629
consultant	0.0754524
NGOs	0.0751326
"naval officer"	0.0750912
hotelier	0.0748864
corporation	0.0748804
well-wisher	0.0747356
sociologist	0.0746592
collector	0.0744119
"art dealer"	0.0743219
"chamber of commerce"	0.0743193
veterinarian	0.0740721
theologian	0.0740323
astronomer	0.0738841
miner	0.0738261
"computer scientist"	0.0737328
bishop	0.0737299
officer	0.0737108
conservationist	0.0735869
contractor	0.0735608
demographer	0.073393
"school teacher"	0.0733376
sportsmen	0.0732735
"currency trader"	0.0732648
psychologist	0.0732531
archaeologist	0.0731381
))
("business interest" (desc 10721.6) (sims
"interest group"	0.119622
"labor union"	0.096567
"business community"	0.0953006
"security interest"	0.094336
"business leader"	0.0832687
environmentalist	0.078276
"National Rifle Association"	0.0768571
"business activity"	0.0753706
"social group"	0.0752184
"social organization"	0.0746692
"trade union"	0.0741003
"trial lawyer"	0.0735464
PACs	0.0732796
"tobacco industry"	0.0704621
"business sector"	0.0701091
NRA	0.0690345
corporation	0.0684304
"business organization"	0.0682885
insurer	0.0682235
"steel company"	0.0675999
"political leader"	0.0670165
"commercial enterprise"	0.0670149
polluters	0.0660658
businessmen	0.0658111
stakeholder	0.0657978
"medical institution"	0.0656017
constituent	0.0649821
"religious leader"	0.0649206
"political party"	0.064857
clientele	0.0643133
"drug trade"	0.0639587
"property owner"	0.0636323
"sphere of influence"	0.0631932
"vital organ"	0.0628994
"growth prospect"	0.0627787
"defense contractor"	0.062727
"insurance company"	0.0626659
whistle-blowers	0.0626374
NGOs	0.0625031
ranching	0.0619779
"business enterprise"	0.0618011
businesspeople	0.0615208
"work unit"	0.0605225
"non-governmental organizations"	0.0602037
shipper	0.0599669
"labor leader"	0.0595818
donor	0.0595597
"elected official"	0.0591583
landowner	0.0589425
"educational institution"	0.0587755
corporates	0.0587577
conglomerate	0.0586407
carmakers	0.0584141
"business executive"	0.0583725
self-interest	0.0578211
constituency	0.0577689
"political action committee"	0.0576182
"financial institution"	0.0573823
activist	0.0572434
charity	0.0569914
rancher	0.0564537
regulator	0.0563658
"corporate executive"	0.0561808
"chemical industry"	0.0560972
employer	0.0560367
"small farmer"	0.0559146
Industrialist	0.0557374
"mining company"	0.0555316
ISPs	0.0555012
"nest egg"	0.05549
"public opinion"	0.0552983
multinationals	0.0552037
"military leader"	0.0552006
contributor	0.0550986
"union member"	0.0550584
parastatals	0.0549185
developer	0.0547249
"law enforcement"	0.054708
"economic condition"	0.0546988
"oil industry"	0.0546879
"social activity"	0.0545877
"pension fund"	0.0545072
lobbyist	0.0543371
"business line"	0.0542881
Moslem	0.0542432
"health professional"	0.0542328
advertiser	0.0541601
preservationists	0.0540816
issuers	0.0538857
statesmen	0.0537521
decision-makers	0.0535573
entrepreneur	0.0535569
congressmen	0.0535441
academic	0.053172
clergy	0.0531677
ownership	0.0531105
"art collection"	0.053089
"practical application"	0.0527469
holding	0.0527241
"drug maker"	0.0526599
"distribution network"	0.052501
hypotheses	0.0523811
transnationals	0.0520628
"shipping company"	0.0520402
"health care provider"	0.0519026
"insurance market"	0.0518242
minority	0.0518126
"line of business"	0.0517756
lender	0.0517487
nationalist	0.0517222
"civil liberty"	0.0516603
hard-liner	0.0516589
"trade association"	0.0515208
"diplomatic mission"	0.0514121
legislator	0.0514113
hardliner	0.0513569
"securities market"	0.0513434
automakers	0.0513355
taxpayer	0.0511092
"vested interest"	0.051045
Taiwanese	0.0507918
tourism	0.050753
Patrimony	0.0507307
"extracurricular activity"	0.0507011
contractor	0.0506749
entity	0.0504803
foothold	0.0504732
backer	0.0502466
lifestyles	0.0501915
philanthropy	0.0501905
"banking industry"	0.0500273
"middle class"	0.0499874
exporter	0.0499461
"oil producer"	0.0498912
specialities	0.0498839
Alumni	0.0498637
Fijian	0.0498619
"labor force"	0.0498401
tribe	0.0498252
breadwinner	0.0497811
HMO	0.0496755
"food company"	0.0496719
officeholder	0.0496558
"plant life"	0.0494499
"competitive advantage"	0.0493739
"economic expert"	0.0493219
utility	0.0493067
businesswomen	0.0492741
elite	0.0492662
privatizations	0.0492528
"foreign policy"	0.0491914
"human activity"	0.0490638
"economies of scale"	0.0489638
intellectual	0.0489578
websites	0.0489352
"Southern Democrats"	0.0488791
"debt problem"	0.0488534
operator	0.0488343
"finance company"	0.0488179
"local government"	0.0488094
schoolwork	0.0487412
"right to life"	0.0486905
merchant	0.0486117
"commercial bank"	0.0485889
Protestant	0.0485171
"power structure"	0.0484442
metropolises	0.0483862
dignitary	0.0483033
ambition	0.0481462
licensee	0.0481079
"regulatory agency"	0.0479689
nonprofits	0.0479613
Fishermen	0.0479421
demographics	0.0479095
"political boss"	0.0478116
"auto maker"	0.0477678
leftist	0.0477541
grower	0.0477506
pluses	0.0477433
"government officials"	0.0477343
"financial organization"	0.0476376
SMEs	0.0476093
"trade issue"	0.0475459
policyholder	0.0475219
"European nation"	0.0474913
"minority shareholder"	0.047438
faction	0.0474148
"home builder"	0.0473676
"mass media"	0.0473294
steelmaker	0.0473099
Malay	0.0472042
well-being	0.0471352
Consul-General	0.0471235
"tea house"	0.0469589
bondholder	0.0469469
"market share"	0.0469297
"investment portfolio"	0.0467307
viewpoint	0.0467184
policy-makers	0.0467146
resellers	0.0466841
))
("business leader" (desc 28992.5) (sims
"business executive"	0.258172
businessmen	0.244299
Industrialist	0.198336
"religious leader"	0.193511
"government officials"	0.190203
"political leader"	0.183925
"business community"	0.179882
"labor leader"	0.179224
parliamentarian	0.177977
environmentalist	0.172773
banker	0.172502
lawmaker	0.172133
legislator	0.169486
educator	0.166434
entrepreneur	0.165691
businesspeople	0.162478
congressmen	0.161953
academic	0.1583
activist	0.158199
politician	0.158157
diplomat	0.157356
"legal expert"	0.157155
"military officer"	0.153674
"policy maker"	0.15195
dignitary	0.148681
statesmen	0.148224
"elected official"	0.146354
journalist	0.146077
"civic leader"	0.145751
"world leader"	0.145283
policy-makers	0.141961
official	0.140087
delegate	0.139744
scholar	0.138997
expert	0.138258
"labor union"	0.138
economist	0.134881
"military leader"	0.134773
"corporate executive"	0.132472
scientist	0.130972
"economic expert"	0.130674
"council member"	0.130255
leader	0.129882
intellectual	0.129087
"foreign minister"	0.129078
"cabinet minister"	0.127348
enterpreneurs	0.126937
regulator	0.126873
"Wall Street analyst"	0.126259
representative	0.125852
"finance minister"	0.125531
"trade union"	0.123923
"head of state"	0.120674
"interest group"	0.120338
investor	0.120089
executive	0.119878
"chamber of commerce"	0.119574
"political party"	0.11465
Ambassador	0.113956
donor	0.113876
academician	0.113821
professional	0.113471
"university student"	0.113339
citizen	0.111937
member	0.111669
advocate	0.111432
policymakers	0.109735
supporter	0.10781
clergy	0.107523
participant	0.10667
resident	0.105156
"newspaper editor"	0.104982
"foreign officials"	0.104757
"business organization"	0.103827
"social scientist"	0.103777
analyst	0.103679
businessman	0.103583
delegation	0.10352
"federal official"	0.102735
decision-makers	0.102392
"army officer"	0.101761
financier	0.101629
minister	0.100972
"civil servant"	0.100824
observer	0.0997567
conservationist	0.0996695
chairmen	0.099499
negotiator	0.0994776
Democrat	0.0993799
"health professional"	0.0985462
group	0.0980337
administrator	0.0979549
developer	0.0975524
bureaucrat	0.0967968
lawyer	0.0966377
lobbyist	0.0965609
"civil rights leader"	0.0963527
"Tony Blair"	0.0962133
"deputy foreign minister"	0.0960117
"union member"	0.0959575
trader	0.0958745
educationist	0.0956178
ethicists	0.0953583
farmer	0.0952398
schoolchildren	0.0952306
bishop	0.0951709
"Goh Chok Tong"	0.0950274
"military personnel"	0.0947275
doctor	0.0946574
MP	0.0946357
researcher	0.0945414
dissident	0.0942363
"trade unionist"	0.0941796
reporter	0.093562
"news media"	0.0935275
exhibitor	0.0934995
clergymen	0.0934542
landowner	0.0933922
"non-governmental organizations"	0.0932977
Governor	0.0931475
NGOs	0.0926992
student	0.0926807
jurist	0.0925793
media	0.0925623
philanthropist	0.0923753
organization	0.0921386
exporter	0.0921237
physician	0.0915624
critic	0.0914552
"venture capitalist"	0.0913936
voter	0.0912713
planner	0.0911845
Republican	0.0910663
"Kofi Annan"	0.0908819
worker	0.0907662
senator	0.0907129
cleric	0.0905804
deputy	0.0905722
corporation	0.0903097
specialist	0.0897863
historian	0.0897735
guest	0.0895967
"committee member"	0.0892407
"college student"	0.0891304
employer	0.0885447
preservationists	0.0883278
"secretary of state"	0.0881276
pundit	0.0877946
theologian	0.0877791
"board member"	0.0877449
musician	0.0873164
conservative	0.0871971
tycoon	0.0871311
Moi	0.0870212
authority	0.0869874
"Javier Solana"	0.0867529
grower	0.0865872
"staff member"	0.0865746
constituent	0.0864655
Mayor	0.0862182
"Bertie Ahern"	0.0861263
"military attache"	0.0861143
artist	0.08608
personage	0.0860159
officer	0.0857428
criminologists	0.0857151
engineer	0.0856696
merchant	0.0856248
businesswomen	0.0855819
athlete	0.0855603
stakeholder	0.08551
counterpart	0.085333
"Lionel Jospin"	0.0851936
"faculty member"	0.0849762
"financial institution"	0.0848555
rabbi	0.0846179
Protestant	0.0845769
government	0.0845338
Fishermen	0.0844088
Alumni	0.0841876
multinationals	0.0839293
unionist	0.0837944
"Keizo Obuchi"	0.0836532
Speaker	0.0834357
Arafat	0.0833068
"investment banker"	0.0833007
"John Major"	0.0832915
"business interest"	0.0832687
"business sector"	0.083196
Premier	0.0831943
commentator	0.0831333
envoy	0.0830892
tourist	0.0828033
"Romano Prodi"	0.0827759
protester	0.082622
adviser	0.0825523
community	0.0825382
"John Howard"	0.0824903
union	0.0824903
elite	0.0822686
))
("business line" (desc 1794.47) (sims
"line of business"	0.187613
"product line"	0.142379
"retail operation"	0.137333
"business unit"	0.121573
"subsidiary company"	0.106456
"line of products"	0.1027
ISPs	0.0883771
"software package"	0.0867432
"manufacturing business"	0.0846962
"retail chain"	0.0839828
"Medicare HMO"	0.0838673
bottlers	0.083072
resellers	0.0805552
"investment portfolio"	0.0803797
"agenda item"	0.0795646
"musical group"	0.0795615
"media property"	0.0785119
livery	0.0773889
headliners	0.0754191
"software product"	0.0754163
"accounting problem"	0.0752907
"key market"	0.0747184
"family business"	0.0747166
"insurance business"	0.0746573
"geographical area"	0.0745949
highflier	0.0745137
"industrial enterprise"	0.0743807
stadia	0.0741752
"business organization"	0.0740273
"internal organ"	0.0729734
nonprofits	0.0726327
parastatals	0.072407
"geographic area"	0.0723621
"business activity"	0.0720453
SOEs	0.071312
QBs	0.0710396
"borrowing cost"	0.0704143
"weapons system"	0.0697863
"tax income"	0.0691729
"extracurricular activity"	0.0690931
"application program"	0.0689835
"computing system"	0.0688355
"social event"	0.068253
"sales staff"	0.0677771
"marketing program"	0.0676011
blue-chips	0.0675865
standouts	0.0673453
metropolises	0.0666821
"food company"	0.066399
varietals	0.0663067
specialities	0.0658455
"marketing effort"	0.065457
"component part"	0.0653652
"athletic facility"	0.0652027
"line of work"	0.064687
"Rolls-Royce Motor Cars"	0.0640935
indices	0.0640827
"tax base"	0.0639734
"vital organ"	0.0637963
"business processe"	0.0630277
"Playstation II"	0.0626524
transnationals	0.06234
"subject area"	0.062198
"retail store"	0.0621777
newsmagazines	0.0619502
subsector	0.0618066
accouterment	0.0615956
nightspots	0.0614953
"service area"	0.0613691
"software system"	0.0612416
quarterfinalists	0.0611548
deportee	0.0610956
pluses	0.0608962
finds	0.0608667
returnees	0.0608475
"safety feature"	0.0608319
cultivar	0.0607886
fibroids	0.0606777
"benefit program"	0.0606586
"entitlement program"	0.0605652
"communications service"	0.0605454
"common shares"	0.0603571
"household appliance"	0.0603011
carmakers	0.0602608
signer	0.0598091
websites	0.0597566
"computer business"	0.0593549
"life form"	0.0590325
Picassos	0.0589258
variable	0.0588658
macro-economy	0.0588437
"Internet Service Providers"	0.0587429
"production facility"	0.0587346
franchisees	0.0585686
"Medicare HMOs"	0.0584324
"state enterprise"	0.0583327
"arms deal"	0.0583074
"risk factor"	0.0581366
"business sector"	0.0580652
superstore	0.0578092
"operating cost"	0.0576857
SUVs	0.0576177
"portable computer"	0.0573887
"electronic database"	0.0573534
follicle	0.0573091
phenoms	0.057057
"chain store"	0.056849
"cable operator"	0.0567272
"communications network"	0.0566267
issuers	0.0565112
"target area"	0.0565033
"No. @s"	0.0563459
pitfall	0.056159
facet	0.056141
ism	0.0560267
"sphere of influence"	0.0559802
"food product"	0.0558617
hotspots	0.055692
"business enterprise"	0.0556178
"communications satellite"	0.0555773
"paramilitary organization"	0.0554708
"chemical compound"	0.055465
upstart	0.0553634
"cast of characters"	0.05531
"business plan"	0.0552595
permutation	0.0551427
hypotheses	0.055124
parameter	0.0544296
"trade publication"	0.0543857
spinoffs	0.054375
"state-owned enterprises"	0.0542887
"business interest"	0.0542881
"weapon system"	0.0542412
ECNs	0.0541841
"Hollywood studio"	0.0541472
"mechanical device"	0.0541304
funders	0.0540367
granary	0.0539993
Supercenters	0.0539475
"key rate"	0.0537991
"New York Republicans"	0.0536812
dot-coms	0.0536733
"mental disorder"	0.0535256
"hard drug"	0.0531329
"major-league team"	0.0531114
"debt market"	0.053107
"phone system"	0.0530358
laggard	0.053014
"securities business"	0.0529503
Concordes	0.0528336
"supporting players"	0.0527796
contraband	0.0527315
intangible	0.0527189
"atom bomb"	0.0526552
motherboards	0.0524453
"investment trust"	0.0523915
eateries	0.052278
"computer language"	0.0521028
"distribution system"	0.05208
inductees	0.0520608
clientele	0.0520215
"Baby Bells"	0.0520142
"educational activity"	0.0519702
"core group"	0.0518954
minivans	0.0518653
"school of thought"	0.0517638
"computer application"	0.0517543
"social activity"	0.051722
"economies of scale"	0.0516939
pallbearer	0.0515615
supercomputers	0.0513574
"highway system"	0.0512602
meccas	0.0512601
"communicable disease"	0.0510711
"covert operation"	0.0510525
"pumping station"	0.0505949
suffix	0.0505904
"securities market"	0.0505842
winery	0.0505618
"order book"	0.050528
"fringe benefit"	0.0504235
"regular army"	0.0504227
vote-getters	0.0502848
"department store chain"	0.0502657
macro	0.0501916
panelist	0.0501659
"capital stock"	0.0501216
"labor pool"	0.050088
mega-mergers	0.0500826
licensee	0.0500595
"technology issue"	0.0498516
"advertising agency"	0.0497053
"rating system"	0.0496369
"two units"	0.0495946
"sugar refinery"	0.0495789
Masterworks	0.049533
whistle-blowers	0.0494569
"consumer credit"	0.0493977
"equity interest"	0.0493748
"movie studio"	0.0493592
))
("business organization" (desc 3256.4) (sims
"social organization"	0.139718
"social group"	0.125225
"non-governmental organizations"	0.120413
"National Association of Manufacturers"	0.114643
"trade union"	0.106768
"trade association"	0.106146
"business leader"	0.103827
"private foundation"	0.100336
NGOs	0.100061
"business sector"	0.0988694
"labor union"	0.0977424
"educational institution"	0.0976572
"auto company"	0.0957614
"business community"	0.093808
"electronics company"	0.0936089
"life insurer"	0.0934765
"professional association"	0.0932452
"medical institution"	0.0911046
"financial organization"	0.0906163
"work unit"	0.0896259
multinationals	0.0889256
"brokerage house"	0.0878893
"investment house"	0.0871618
"paramilitary organization"	0.0853855
transnationals	0.0844085
"interest group"	0.0842095
landowner	0.0830305
"business executive"	0.0828637
"joint-stock company"	0.082819
"power company"	0.0823721
ISPs	0.0819493
"private corporation"	0.081443
"shipping company"	0.0812118
"U.N. agencies"	0.0798765
metropolises	0.0795919
"health professional"	0.0795129
parastatals	0.0794694
criminologists	0.0787138
insurer	0.0785192
"credit bureau"	0.0784385
"labor leader"	0.0784019
"car manufacturer"	0.0783781
"oil producer"	0.0783046
carmakers	0.0767156
nonprofits	0.0766592
"travel agency"	0.0765555
"food company"	0.0765231
"financial institution"	0.0761125
"semiconductor maker"	0.0760488
"international organization"	0.0759799
"steel company"	0.0756054
"policy maker"	0.0755729
"health care provider"	0.0751712
stakeholder	0.0746
"New York Democrats"	0.0745813
"pressure group"	0.0743013
AmCham	0.0741044
"business line"	0.0740273
"auto maker"	0.0739966
"defense contractor"	0.0739441
issuers	0.0733669
"chamber of commerce"	0.0731336
"political movement"	0.0723287
shipbuilder	0.0722815
"government officials"	0.071722
environmentalist	0.0709093
"San Franciscans"	0.0708337
meatpackers	0.0705283
policymakers	0.0704279
organisation	0.0703391
"cable operator"	0.070333
"home builder"	0.0701287
"toy retailer"	0.0700468
"commercial enterprise"	0.07002
"Internet Service Providers"	0.0695737
"banking company"	0.069513
"civic leader"	0.069203
"insurance company"	0.0688026
meccas	0.0685814
"business interest"	0.0682885
preservationists	0.0680864
"World Jewish Congress"	0.0679636
"mass media"	0.0677263
"software maker"	0.0675132
"Protestant denomination"	0.0674221
"social event"	0.0669462
"chain store"	0.0667506
philanthropist	0.066653
lender	0.066561
"United Nations agency"	0.0665069
steelmaker	0.0663484
"accounting firm"	0.0663417
"political leader"	0.0654978
SPLA	0.0653886
"dairy farmer"	0.0652719
automakers	0.0652279
businesspeople	0.0652189
blue-chips	0.0651421
wholesaler	0.0650935
"economic expert"	0.0650379
"car maker"	0.0649542
refiner	0.0644651
"Log Cabin Republicans"	0.0643357
"property owner"	0.0643223
"building society"	0.0642157
"ad agency"	0.0641798
"Serbian Orthodox Church"	0.0641538
"Hollywood studio"	0.0641264
"Better Business Bureau"	0.0641209
"religious leader"	0.0638226
shipowner	0.0634183
"UN agency"	0.0633434
"retail operation"	0.0632239
"minority shareholder"	0.0628371
Non-governmental	0.0627534
congressmen	0.0626727
"legal expert"	0.0626532
"retail chain"	0.0624854
"advertising agency"	0.0624541
"industrial enterprise"	0.0622518
"transportation company"	0.0621126
"American Civil Liberties Union"	0.0619978
decision-makers	0.0619825
policy-makers	0.0619386
"health maintenance organization"	0.0618473
vintner	0.0617604
"market participant"	0.0615567
"market average"	0.0611305
"commercial bank"	0.0611277
goal-scorer	0.060944
"brokerage firm"	0.0603181
"newspaper publisher"	0.0603085
"bus company"	0.0597815
"computer giant"	0.0597008
shipper	0.0596503
"Southern Democrats"	0.0595276
left-winger	0.059381
winery	0.059332
Creationists	0.0592899
"drug maker"	0.0592144
PTA	0.0591895
drugmakers	0.0591745
"news media"	0.0591128
"mining company"	0.0589257
"regulatory agency"	0.0588952
crematorium	0.0586853
"water company"	0.0585299
bottlers	0.0584583
"department store chain"	0.0584505
"Medicare HMOs"	0.0583743
"insurance firm"	0.0582876
brokerage	0.0582247
"social scientist"	0.0581736
"National Organization"	0.0578637
"Grand National Party"	0.0577304
resellers	0.0575474
Cuban-Americans	0.0574995
"state enterprise"	0.0574272
granary	0.057344
"drug czar"	0.0572045
UNP	0.0570869
"Wall Street analyst"	0.0570822
"military unit"	0.0566877
"trade unionist"	0.056613
forecaster	0.0564188
"medical community"	0.056331
Industrialist	0.056269
chipmakers	0.056245
"lending institution"	0.0560762
enterpreneurs	0.056026
NGO	0.0559596
"pension fund"	0.0558854
Afrikaner	0.0558722
"Self-Defense Forces"	0.0558212
"Association of Flight Attendants"	0.0557889
NARAL	0.0557675
foundations	0.0557586
"trucking company"	0.055722
"business enterprise"	0.0556596
"highway system"	0.0555744
denomination	0.0554304
"church member"	0.0554202
"New Democracy"	0.0553659
"Russian bank"	0.0553368
PACs	0.0552419
"broadcasting company"	0.0551411
stanchion	0.0551206
"International Association of Machinists"	0.0549733
"U.N. agency"	0.0548922
"Cambodian People's Party"	0.0548922
"European nation"	0.0547615
homebuilder	0.0546549
"ballet company"	0.0546291
"telephone company"	0.054559
pro-British	0.0544896
"market maker"	0.0542581
"phone company"	0.0538469
bookseller	0.053804
officeholder	0.0537735
"opera company"	0.053711
))
("business plan" (desc 12099.8) (sims
"master plan"	0.118768
"development plan"	0.107555
strategy	0.105663
"game plan"	0.104058
"contingency plan"	0.0954209
"plan of action"	0.089815
"reorganization plan"	0.0869513
concept	0.0842261
blueprint	0.0827412
"marketing campaign"	0.0782927
curriculum	0.0782036
"expansion plan"	0.0761887
"development strategy"	0.0752155
prospectus	0.0735743
"marketing program"	0.072569
guideline	0.0724043
"battle plan"	0.0700863
agenda	0.0694083
scenario	0.0692198
"travel plan"	0.0691589
"code of conduct"	0.068965
"growth prospect"	0.0688101
"secret plan"	0.0686334
"balance sheet"	0.0680289
"financial statement"	0.0680198
application	0.0672593
timetable	0.0665748
manifesto	0.0665251
"legal document"	0.0663932
framework	0.0663093
scheme	0.0661227
"legal brief"	0.0649723
"economic policy"	0.0649146
"marketing effort"	0.0648606
projection	0.0644141
"product line"	0.064098
method	0.0638217
Formula	0.0634297
initiative	0.0629262
procedure	0.062911
"business unit"	0.0627236
software	0.0624905
"monitoring program"	0.0619122
doctrine	0.0606515
theory	0.0602866
hypotheses	0.0602483
"credit report"	0.0601475
recommendation	0.0597045
vision	0.0596071
"trade policy"	0.0594883
equation	0.0594535
memorandum	0.059256
script	0.0586866
rationale	0.0586043
marketing	0.0582122
"medical report"	0.0581923
"credit history"	0.0578224
roadmap	0.057805
planning	0.0576418
code	0.0576317
outlook	0.0573614
"application form"	0.0572049
technique	0.0570576
itinerary	0.0569074
"line of products"	0.0568441
hypothesis	0.0565334
syllabus	0.0564793
portfolio	0.0560385
"social contract"	0.0558157
"political platform"	0.0557068
"piece of music"	0.0556721
legislation	0.0554245
valuation	0.0553786
invoice	0.0552748
"business line"	0.0552595
alternative	0.0550583
"security system"	0.0550474
recipe	0.0548895
mechanism	0.0548845
solution	0.0547648
"tax policy"	0.0547024
profitability	0.0543496
criteria	0.0543486
prognosis	0.0541686
assessment	0.0538287
"investment portfolio"	0.0537538
"bank statement"	0.0536089
objective	0.0535926
arrangement	0.0535853
"tax system"	0.0535195
"service contract"	0.0532062
"employment contract"	0.0531216
bylaw	0.0530194
innovation	0.0528248
philosophy	0.0524754
platform	0.0524341
thesis	0.0523531
"computer program"	0.0523422
Invention	0.0521819
evaluation	0.0519911
calculation	0.0519448
brochure	0.0518158
niche	0.0516891
"incentive plan"	0.0515333
acquisition	0.051509
"training program"	0.0514952
methodology	0.0514753
"advertising campaign"	0.0513862
"American plan"	0.0513861
"road map"	0.0513045
offering	0.0511818
"product development"	0.0510909
Screenplay	0.0510609
handbook	0.050989
proposition	0.0508913
definition	0.0507585
financing	0.0507082
timeframe	0.0503732
modality	0.0503437
"ad campaign"	0.0502222
"trade agreement"	0.0502143
"compromise plan"	0.0501355
"rating system"	0.0500554
rebuttal	0.0500478
pricing	0.0500146
petition	0.0499442
algorithm	0.0499073
patent	0.049886
"political program"	0.0498664
pact	0.0498474
text	0.0496676
"legal system"	0.0492325
"compensation package"	0.0491481
"pilot program"	0.048991
"basic principle"	0.0488619
"customer service"	0.0488422
"progress report"	0.0483713
"operating system"	0.0483242
analysis	0.048316
"floor plan"	0.048297
suggestion	0.0482952
"academic program"	0.0481808
audit	0.0481705
charter	0.0481001
fundamental	0.0477635
IPO	0.0477426
filing	0.0476431
calculus	0.0475719
"financial condition"	0.0474805
manuscript	0.0474093
"foreign policy"	0.0472935
"rehabilitation program"	0.0472731
"missile defense system"	0.0471714
Declaration	0.0470597
dossier	0.0470325
"business development"	0.0470261
regimen	0.0469876
countermeasure	0.0469753
curricula	0.0468666
puzzle	0.0468342
instruction	0.0468254
listing	0.0467617
"computer network"	0.0467477
infrastructure	0.0465841
specification	0.0464951
Treaty	0.0463595
setup	0.0463298
"tax return"	0.0462776
submission	0.0462364
"bottom line"	0.0462095
composition	0.0461786
"information system"	0.0461077
storyboards	0.0460315
questionnaire	0.0458827
"land reform"	0.0458665
ballclub	0.0458358
configuration	0.0456479
programming	0.0456213
accounting	0.0456114
essay	0.0455318
"earnings report"	0.0454939
allocation	0.0454063
menu	0.0453796
"accounting system"	0.0452534
database	0.0452388
referral	0.0452068
homepage	0.0451302
"Ninth Five-Year Plan"	0.045121
"earnings growth"	0.0450704
taxation	0.0450028
ambition	0.0449906
"sales pitch"	0.0449867
"bond issue"	0.0449303
wording	0.0449214
"electoral system"	0.0448457
parameter	0.0447567
qualification	0.0447288
synopsis	0.044723
"Action Plan"	0.0446994
expertise	0.0446892
))
("business processe" (desc 918.209) (sims
"retail operation"	0.0845531
sufficiency	0.0814024
"data system"	0.0702048
"word processing"	0.0692379
"computer language"	0.0681928
"brain wave"	0.066076
"business line"	0.0630277
cost-effectiveness	0.0629011
SATs	0.0614888
weightings	0.061108
applicability	0.0609618
"communication system"	0.060553
"capital stock"	0.0602937
"electronic mail"	0.0595681
"speech pattern"	0.0593539
"cost structure"	0.0589509
"electronic database"	0.058818
"sales force"	0.0571553
"electronic communication"	0.0566407
"accounting system"	0.0558035
self-discipline	0.0556317
"geographic area"	0.0548748
"data entry"	0.054203
Newscom	0.0540743
"word processor"	0.0538764
tracking	0.0538532
team.	0.0529642
personae	0.0528876
"hook shot"	0.0526595
"internal control"	0.0518092
"shareholder value"	0.0516682
"Andrew Ramirez"	0.0515912
routing	0.0513773
brassiere	0.0513486
back.	0.0512476
"final exam"	0.0510156
"video recording"	0.0507989
"transportation system"	0.0507493
"reference work"	0.0503514
hypotheses	0.050015
"vocational education"	0.0499664
"business condition"	0.0493256
dependability	0.048548
myopia	0.0484792
"investment portfolio"	0.0482991
caseloads	0.0481724
"social structure"	0.0477196
macro-control	0.0476656
"medical science"	0.0476471
bio-diversity	0.0475129
"numbers game"	0.0473695
Reel.com	0.0472916
"line of business"	0.0472003
tenancy	0.0469089
"computer business"	0.0467851
"management style"	0.046619
"subject area"	0.0465849
ballclub	0.0464941
"slide rule"	0.0464169
nt	0.0464029
"teaching method"	0.0460094
whistle-blowers	0.0460071
"mailing address"	0.0458793
punctuality	0.0458432
macro	0.0458299
wrongdoer	0.0457973
"chemical compound"	0.0455991
competency	0.0453341
"brokerage account"	0.0447996
"circulatory system"	0.0447917
comeuppance	0.0445465
surveying	0.0444727
"raw data"	0.0443817
record-keeping	0.0442484
IPR	0.0440431
"surgical procedure"	0.0439261
"computer graphics"	0.0437723
"user interface"	0.0436297
aerodynamics	0.0435465
"country of origin"	0.0434835
connectivity	0.0434389
platforms	0.0433838
identifier	0.0433655
"water plant"	0.0430238
"place of worship"	0.0429367
"mental ability"	0.0424265
"patent right"	0.0424198
soundness	0.042265
"mailing list"	0.0422253
"benefit program"	0.0421043
"performance evaluation"	0.0419664
Patrimony	0.0418996
spacing	0.041796
mechanization	0.0415482
"prescription medicine"	0.0415245
"competitive advantage"	0.0412244
faceoffs	0.040986
specialities	0.0408573
imaginings	0.0408236
"ball club"	0.0407948
"reading program"	0.0406765
"floor plan"	0.0406633
"random sample"	0.0404634
match-ups	0.040306
swapping	0.0402551
"guessing game"	0.0401604
"back office"	0.0400613
))
("business relation" (desc 2015.56) (sims
"political relation"	0.236036
good-neighborliness	0.180196
"personal relation"	0.167566
"trade relation"	0.16127
"co- operation"	0.151165
good-neighborly	0.147103
neighborliness	0.116124
"mutual understanding"	0.112569
linkage	0.111343
FTA	0.103012
rapport	0.0981298
"credit system"	0.0905142
"free trade"	0.0878446
interoperability	0.0866983
"trade agreement"	0.0858888
"Free Trade Agreement"	0.0854481
complementarity	0.0854089
"internal control"	0.0845782
"trade issue"	0.0835031
Sino	0.0829461
"market order"	0.0829268
"African Union"	0.0821413
"balance of trade"	0.0803311
"investment climate"	0.079984
"arms deal"	0.0798753
Sino-Japanese	0.0798418
dialog	0.0743036
Sino-Russian	0.0742697
"social contract"	0.072623
Amity	0.0704388
interdependence	0.0703192
joint-ventures	0.0699218
rapprochement	0.0697887
"parliamentary democracy"	0.0684223
"communication network"	0.0674055
coexistence	0.0665299
"African Economic Community"	0.065732
"economic system"	0.0655511
Sino-U.S.	0.0647026
"team spirit"	0.0638548
self-discipline	0.0622331
"Market system"	0.0620728
detente	0.0618051
"military capability"	0.0613179
"reading program"	0.060724
"debt market"	0.0600497
"transportation system"	0.0596318
"trade balance"	0.0594719
"customs union"	0.0585379
interrelationship	0.0584856
"trade area"	0.057765
cohesion	0.0572951
"distribution network"	0.0568266
"business enterprise"	0.0568138
cohesiveness	0.0567816
foothold	0.0565994
"surveillance system"	0.0561128
"consumer credit"	0.0561073
"National Missile Defense"	0.0558967
"vocational education"	0.0556654
capacity-building	0.0553784
"growth prospect"	0.0549364
taskforce	0.0549261
"trade barrier"	0.0547266
"sense of responsibility"	0.0545935
teamwork	0.0544163
consulations	0.054274
Sino-French	0.0541541
China-U.S.	0.0538458
"distribution system"	0.0536641
enmity	0.052847
"extension service"	0.0527456
"social status"	0.052484
"balance of payments"	0.0520463
"line of products"	0.0519944
"sphere of influence"	0.0514359
"professional life"	0.0513168
uptrend	0.0510184
"trading system"	0.0508789
spacing	0.0505328
FTAA	0.0504216
"law practice"	0.0503576
"international criminal court"	0.0500929
"commercial activity"	0.0500564
face-off	0.0497624
"employment contract"	0.049756
"data link"	0.0496512
commonality	0.0494276
"business activity"	0.0492924
"bond rating"	0.0492195
"endowment fund"	0.0489883
ecotourism	0.0489222
"fire wall"	0.0487032
"tax base"	0.0486022
cross-fertilization	0.0484568
"monetary system"	0.0480959
EPZ	0.0479935
Sino-African	0.0479589
interchange	0.0479342
lovefest	0.0476485
peace-making	0.0474222
"Joint Declaration"	0.0471268
"memorandum of understanding"	0.0469786
"marketing effort"	0.0467194
"securities market"	0.0466813
macro-control	0.0466371
"quality control"	0.0466251
SEZs	0.0464221
"arms industry"	0.0461914
team.	0.0460079
"educational activity"	0.0459174
"Free Trade Area"	0.045916
"economies of scale"	0.0458976
"support system"	0.0458886
falling-out	0.0456443
alignment	0.0455405
homepages	0.0455362
"standard of living"	0.0454864
"highway system"	0.045464
"accounting system"	0.0452098
"sense of balance"	0.04514
"market economy"	0.0450425
"arms control"	0.0449605
intermarriage	0.0449451
multi-polarization	0.0445846
"Economic Development"	0.0445327
"purchase contract"	0.0445163
"monitoring program"	0.0444306
confidence-building	0.0443074
"Southern Common Market"	0.0442519
"insurance business"	0.0441984
"political movement"	0.0441687
"early warning system"	0.0440583
"credit history"	0.0439663
camaraderie	0.0439464
"sense of direction"	0.0438095
believability	0.0437438
"sense of smell"	0.0437181
"academic program"	0.043674
alertness	0.0436241
"line of credit"	0.0436195
"creature comforts"	0.0435862
assignation	0.0435578
conciliation	0.0433357
Eco-tourism	0.043235
"control board"	0.0432269
"difference of opinion"	0.0431987
"retail operation"	0.0431822
collegiality	0.0430948
"railway system"	0.0430313
"bus service"	0.0429045
"social activity"	0.0428718
"sweet tooth"	0.0428006
"military commission"	0.0426773
firewalls	0.0426235
"blind spot"	0.0425846
match-ups	0.0425074
"defense system"	0.042334
"balance sheet"	0.0423193
"written agreement"	0.0422397
"Kosovo Verification Mission"	0.0421681
"joint-stock company"	0.0421587
"South Korean won"	0.0420405
kinship	0.0420343
"data system"	0.0419891
"pass catcher"	0.0419537
polity	0.0419177
give-and-take	0.0418659
"investment fund"	0.0417624
TMD	0.0417033
adaptability	0.0416595
entrepreneurship	0.0415489
"work group"	0.0415156
"mass transit"	0.0411021
colloquy	0.0410352
"trade route"	0.0409347
maneuverability	0.0409288
"East African Community"	0.040776
"entitlement program"	0.0407096
synergy	0.0406548
"investment portfolio"	0.0405819
UNMOVIC	0.0405672
EPZs	0.0404876
sub-branches	0.0404679
"natural ability"	0.0402385
"order book"	0.0400181
))
("business school" (desc 12837.2) (sims
"law school"	0.259093
"medical school"	0.247491
"Graduate School of Business"	0.224916
"Harvard Business School"	0.202972
"graduate school"	0.195708
"Kennedy School"	0.192252
"Kennedy School of Government"	0.174831
"School of Public Health"	0.167817
"Harvard Law School"	0.161767
"Yale Law School"	0.153474
MIT	0.14319
"New York University"	0.142124
"John F. Kennedy School of Government"	0.139992
Yale	0.133953
seminary	0.133319
"Harvard College"	0.129895
Harvard	0.127773
College	0.127754
university	0.126272
"art school"	0.126169
"University of Chicago"	0.12565
"Yale university"	0.12488
"Syracuse University"	0.124582
"University of Wisconsin"	0.12402
"University of Missouri"	0.122974
Dartmouth	0.122559
"University of Georgia"	0.122478
"Brown University"	0.121585
"school of medicine"	0.12117
Princeton	0.120588
"Smith College"	0.120299
"University of Southern California"	0.119217
"Williams College"	0.11819
"Boston University"	0.117174
"community college"	0.117114
"Cornell University"	0.116745
"school of law"	0.116203
"University of Michigan"	0.114147
"University of California"	0.114038
"Rice University"	0.11402
"Harvard University"	0.11361
"Stanford University"	0.113162
"Georgetown University"	0.113015
"Massachusetts Institute of Technology"	0.112863
"Howard University"	0.112844
"Princeton University"	0.112508
"Rutgers University"	0.111297
"City College"	0.109656
"University of Massachusetts"	0.109508
"American University"	0.109235
"Brigham Young University"	0.108351
"Columbia University"	0.107922
"Northwestern University"	0.107371
Cornell	0.106801
"University of Texas"	0.10676
"Harvard Medical School"	0.106545
UGA	0.105555
"University of Virginia"	0.105501
"Southern Methodist University"	0.104897
"Texas Christian University"	0.103846
institute	0.103324
"University of Kansas"	0.103207
"secondary school"	0.102933
"University of Illinois"	0.102823
"Indiana University"	0.102551
"Media Lab"	0.10251
undergraduate	0.101556
"Ohio State University"	0.100155
"Dartmouth College"	0.0996215
"Harvard School of Public Health"	0.0995927
"University of Maryland"	0.0995588
"Emory University"	0.0995188
"Michigan State University"	0.0992741
"University of Florida"	0.0987462
"West Point"	0.098582
"prep school"	0.0984183
"Georgia State University"	0.0983156
"naval academy"	0.0977508
"George Washington University"	0.0976791
"University of North Carolina"	0.0976758
Juilliard	0.0971703
"middle school"	0.0969268
"State University of New York"	0.0968214
"Fudan University"	0.0965941
"Beijing University"	0.0965245
conservatory	0.0962055
"Duke University"	0.0960846
"Qinghua University"	0.0959022
"music school"	0.0958582
"Purdue University"	0.0953569
"Washington State University"	0.0952294
"Northeastern University"	0.0947295
"University of South Carolina"	0.0937525
"Cambridge University"	0.093051
"University of Tennessee"	0.092981
"Catholic school"	0.092743
"University of Hong Kong"	0.0926894
academy	0.0926286
Brandeis	0.0922908
faculty	0.0920341
"University of Pennsylvania"	0.0916625
"Wharton School"	0.0913997
"Oxford University"	0.0912984
"technical school"	0.0906121
"London School of Economics"	0.089684
"Barnard College"	0.0896061
"vocational school"	0.0893433
"University of New Mexico"	0.0890565
"Arizona State University"	0.0887787
"military academy"	0.0883527
"private school"	0.0879252
"Iowa State University"	0.0875311
"teachers college"	0.0868675
"UC Berkeley"	0.0865636
"Brandeis University"	0.0853806
"University of Minnesota"	0.0851994
"North Carolina State University"	0.0851668
Vassar	0.0849596
Oxford	0.084822
"Amherst College"	0.0841206
"University of Washington"	0.0836392
"California State University"	0.0831401
"Fordham University"	0.0830593
"University of Kentucky"	0.0825464
"University of Mississippi"	0.0824447
Provost	0.0822049
"electrical engineering"	0.0821869
"University of Pittsburgh"	0.0814612
"primary school"	0.0806726
"University of Utah"	0.0806069
"Juilliard School"	0.0799399
"Louisiana State University"	0.0796902
"Ivy League"	0.0796676
sociologist	0.0793134
"graduate student"	0.0792084
"school of music"	0.0787714
"University of Arizona"	0.0787648
"University of Iowa"	0.0786114
"University of New Hampshire"	0.0780266
"Hunter College"	0.0780064
"Kansas State University"	0.0779578
"economics department"	0.0777837
"medical center"	0.0776273
Stanford	0.0768047
"University of Notre Dame"	0.0767681
"University of Dayton"	0.0766947
UT	0.0766462
"University of Zimbabwe"	0.0765495
"high school"	0.0764775
Sorbonne	0.0764658
UNAM	0.0763116
"Wake Forest University"	0.0761544
"liberal arts"	0.0761425
Emory	0.0761348
"eighth grade"	0.0761246
NYU	0.0759849
"junior college"	0.0759697
"Florida State University"	0.0758761
"Vanderbilt University"	0.0751954
"computer science"	0.0750528
"police academy"	0.0748088
yeshiva	0.0746564
"Johns Hopkins University"	0.0746036
"city university"	0.0745862
sociology	0.072764
"Temple University"	0.0724269
"Georgia Tech"	0.0723822
"Washington University"	0.0720467
campus	0.0712326
"University of Colorado"	0.0712116
"Peking University"	0.0709091
"grade school"	0.0707797
Bu	0.0705883
"mechanical engineering"	0.0705208
UMKC	0.0703931
"Auburn University"	0.0698621
"University of Cincinnati"	0.0698354
"Boston College"	0.0697763
"University of Alabama"	0.0697103
UD	0.0696608
"Queens College"	0.0696276
"research center"	0.0695576
"City University of New York"	0.06913
"Trinity College"	0.0690359
"junior high school"	0.0689804
Berkeley	0.0688355
"elementary school"	0.0687576
"Wesleyan University"	0.0685955
"U.S. Naval Academy"	0.0681592
"boarding school"	0.0681131
"San Francisco State University"	0.068013
IU	0.0678851
"public school"	0.0675325
"social science"	0.0674587
"McGill University"	0.0672752
"endowment fund"	0.0669584
"political science"	0.0669485
"Tufts University"	0.0669002
"Carnegie Mellon University"	0.0667619
"University of Wyoming"	0.0663479
))
("business sector" (desc 9939.26) (sims
"business community"	0.157033
sector	0.117809
NGOs	0.114465
"social organization"	0.104957
"non-governmental organizations"	0.102883
"social group"	0.102464
"educational institution"	0.101269
"business organization"	0.0988694
"trade union"	0.0939498
"automobile industry"	0.0897483
enterprise	0.0884653
"construction industry"	0.0880296
stakeholder	0.0871262
"coal industry"	0.0834818
"state enterprise"	0.0833617
"business leader"	0.083196
Non-governmental	0.0830589
businessmen	0.0827509
institution	0.0825581
"financial institution"	0.0822923
"U.N. agencies"	0.0815476
"political party"	0.0812982
"interest group"	0.0798228
"labor union"	0.0783885
Industrialist	0.0777634
"banking industry"	0.0776511
locality	0.0762272
"commercial bank"	0.073696
"political leader"	0.0736797
"international organization"	0.0736099
"business activity"	0.0725486
"financial organization"	0.0724398
"work unit"	0.0720036
"professional association"	0.0719098
"industrial enterprise"	0.071713
"rural area"	0.0712177
state-owned	0.0711136
subsector	0.0710967
agriculture	0.0706654
manufacturing	0.0706016
"business interest"	0.0701091
"private corporation"	0.0696214
entrepreneur	0.0689383
"African country"	0.0683053
"local government"	0.0680901
multinationals	0.0679076
"Asian country"	0.0677988
"armed forces"	0.0674802
"film industry"	0.0674433
"European country"	0.0673822
tourism	0.0667047
EPZs	0.0660273
"finance company"	0.0650872
organisation	0.0650803
"walk of life"	0.0650357
"labor market"	0.0647772
exporter	0.064494
"public service"	0.0642698
"medical community"	0.0637442
"urban area"	0.0636675
"mass media"	0.0635056
corporates	0.0634971
"securities market"	0.0631519
"electronics industry"	0.0631137
corporation	0.0630889
"medical profession"	0.0629806
SMEs	0.0626357
automakers	0.0621281
policy-makers	0.0619384
parastatals	0.0617776
SOEs	0.061748
"pressure group"	0.0617266
"member country"	0.0616939
"geographic area"	0.0612352
"major-league team"	0.0610312
"member nation"	0.061031
member-states	0.0609951
"computer industry"	0.0608013
"oil industry"	0.0606144
businesspeople	0.0603106
academia	0.0601873
"law enforcement"	0.0601809
"stock market"	0.0599575
decision-makers	0.0597238
"UN agency"	0.0597032
"mining company"	0.0596852
"insurance business"	0.059424
"religious leader"	0.0592501
mining	0.0590033
airline	0.0589842
"insurance company"	0.0587002
shipper	0.0584215
"insurance firm"	0.0583725
commerce	0.0581561
"business line"	0.0580652
nonprofits	0.0579944
"high technology"	0.0579888
grower	0.0579319
"trading partner"	0.0578677
"policy maker"	0.0578029
"United Nations agency"	0.0577154
municipality	0.0576301
"International Committee of Red Cross"	0.0575378
"insurance market"	0.0575
telecommunication	0.0574644
"travel agency"	0.0574153
"news media"	0.0573956
ministry	0.0573905
"housing market"	0.0571197
"public security"	0.0569581
specialities	0.0568525
cooperative	0.0567185
"civil service"	0.056593
"animal husbandry"	0.0564817
ISPs	0.0564748
"ethnic group"	0.0561423
"banking system"	0.056033
"information technology"	0.0559168
"power company"	0.0557037
infrastructure	0.0556496
"commercial enterprise"	0.0554855
profession	0.0554122
"legal system"	0.0553807
Fishermen	0.0553609
parliamentarian	0.0552959
"labor force"	0.054936
"shipbuilding industry"	0.0548179
"health service"	0.0547988
academic	0.0546049
"chemical industry"	0.054541
textile	0.0545172
"health professional"	0.054479
"movie industry"	0.0544746
"bond market"	0.0543919
banking	0.0542826
"chamber of commerce"	0.0542277
NGO	0.0541227
donor	0.0538288
lender	0.0537086
"business executive"	0.0535849
"business enterprise"	0.0534898
"police department"	0.0533553
environmentalist	0.0533303
provider	0.053318
"central bank"	0.0532749
borrower	0.053004
"nuclear power"	0.0529283
"entertainment industry"	0.0529156
township	0.0528476
strata	0.0528144
"monetary system"	0.0526939
"labor movement"	0.0525865
"civic leader"	0.0525254
"fashion industry"	0.0522387
landowner	0.0520055
"business establishment"	0.0519802
depositor	0.0519014
"securities industry"	0.0518832
Judiciary	0.0517912
congressmen	0.0517751
insurer	0.0517582
segment	0.0514202
"university student"	0.0513551
charity	0.0512883
farming	0.0512724
statesmen	0.0512285
governorates	0.0511457
"police force"	0.051077
"school district"	0.0510715
"elected official"	0.0510698
"labor leader"	0.0510465
"investment climate"	0.0510362
"money supply"	0.0509547
"medical institution"	0.0507842
"European nation"	0.0507733
ASEAN	0.0507691
"securities business"	0.0506754
Arab	0.0504048
"African nation"	0.0503213
"line of business"	0.0501523
"lending institution"	0.0497795
"Asian nation"	0.0494167
entity	0.0493238
"brokerage firm"	0.0492955
"major power"	0.0492724
"retail sale"	0.0491353
LDCS	0.0490595
"Southern African Development Community"	0.0490415
carmakers	0.0490173
"natural resource"	0.0489075
"shipping company"	0.0488922
"Catholic Church"	0.0487233
aviation	0.04862
regulator	0.0485596
undertaking	0.0485316
"public school"	0.0484768
"African National Congress"	0.0484358
"electronics company"	0.0483698
whistle-blowers	0.0482869
transportation	0.0482869
))
("business suit" (desc 5171.03) (sims
"pants suit"	0.179175
"military uniform"	0.170745
pantsuit	0.159373
trouser	0.158197
"blue jean"	0.156696
raincoat	0.15632
overcoat	0.155885
slack	0.15356
sweatshirt	0.152072
"street clothes"	0.151465
"leather jacket"	0.146303
"polo shirt"	0.144995
tuxedo	0.142151
pajama	0.139115
"fur coat"	0.137079
jumpsuit	0.136804
beret	0.136743
"dress shirt"	0.136202
khaki	0.135375
tights	0.132486
"baseball cap"	0.132443
tunic	0.131051
robe	0.128217
sweater	0.126735
"straw hat"	0.125041
"evening gown"	0.124951
"dress uniform"	0.124507
pant	0.123547
shirt	0.123423
"bow tie"	0.123199
"sweat pants"	0.122982
jacket	0.122396
kilt	0.122128
"cowboy hat"	0.121669
"cowboy boot"	0.120809
scarf	0.120492
blazer	0.120356
"sports jacket"	0.120088
jean	0.119037
attire	0.11864
turban	0.117823
pinstripes	0.116762
miniskirt	0.116442
sunglasses	0.11565
"trench coat"	0.114341
waistcoat	0.113857
"bathing suit"	0.112669
loincloth	0.111588
Pantsuits	0.111009
Sari	0.110983
sideburn	0.110747
gown	0.110416
bellbottoms	0.110325
wig	0.109769
garb	0.109379
fedora	0.109282
"top hat"	0.108996
windbreaker	0.108876
"black tie"	0.1076
coat	0.105813
bluejeans	0.10574
vest	0.105117
turtleneck	0.105086
hat	0.104746
suspender	0.103666
finery	0.103333
knickers	0.102475
skirt	0.102004
bathrobe	0.102
frock	0.10091
corduroy	0.100779
moustache	0.100607
uniform	0.100417
blouse	0.100254
"dark glasses"	0.099958
"felt hat"	0.0996901
regalia	0.0985904
mustache	0.0981422
apron	0.0978746
"hard hat"	0.0970115
sandal	0.0964716
T-shirt	0.0955403
"hot pants"	0.0948939
bikini	0.0935504
bra	0.0932692
fatigues	0.0930995
cardigan	0.0927176
eyeliner	0.092632
"feather boa"	0.0920326
swimsuit	0.0920294
sarong	0.0912951
hairpiece	0.0910933
parka	0.0909976
headband	0.0904205
miniskirts	0.0903333
"bowler hat"	0.0902411
smock	0.0899773
kimono	0.0892675
goatee	0.0891614
STETSON	0.0881907
Outfit	0.0880264
nightgown	0.0878239
Bonnet	0.0877374
sock	0.0875522
camouflage	0.0874598
"cocktail dress"	0.0873958
Poncho	0.087355
shawl	0.0869613
corset	0.0863414
sneaker	0.0861544
"tennis shoe"	0.0857159
"ball gown"	0.0850043
"ski mask"	0.0849739
tux	0.0844761
pullover	0.0840096
"stiletto heel"	0.0834993
"bulletproof vest"	0.0832237
blackface	0.0819691
slipper	0.0818078
yarmulke	0.081594
eyeglass	0.0815386
boot	0.0808499
underwear	0.0807187
purple	0.0802625
Beard	0.0801525
suede	0.0798404
brassiere	0.0794212
"wedding gown"	0.0793605
"prayer shawl"	0.0793177
loafer	0.0789164
velvet	0.0785881
coverall	0.0785678
"life vest"	0.078364
wristband	0.0776113
necktie	0.0768463
shoe	0.0765331
leotards	0.0761706
bandana	0.0760508
caftan	0.0753638
"evening dress"	0.0750424
slacks	0.0750304
"nose ring"	0.0745897
headdress	0.0743463
pajamas	0.0742793
ascot	0.0734039
cloak	0.0729554
costume	0.0728673
Cape	0.0724168
bandanna	0.0722359
jersey	0.0720674
braid	0.0715553
toupee	0.0713942
Chino	0.0709925
tiara	0.0707845
undershirt	0.0705936
bodice	0.0698061
"boxing glove"	0.0694534
eyeshadow	0.0693832
lipstick	0.0693703
"rubber boot"	0.0693601
"nail polish"	0.0691662
veil	0.0690054
bodysuit	0.0685982
helmet	0.0680624
leather	0.0675789
earring	0.0671445
bustier	0.0670795
"sport shirt"	0.0666741
stocking	0.0666203
"contact lense"	0.0662609
Sash	0.0659121
woolen	0.0655544
dresser	0.0653449
handbag	0.0653179
denim	0.0651911
Tutu	0.0649882
lingerie	0.0645769
mitten	0.0644221
sportswear	0.0642877
satin	0.0640705
armband	0.0640056
fatigue	0.0637915
tweed	0.063788
headgear	0.0633263
blinker	0.0631411
dreadlocks	0.0628424
linen	0.0623758
fur	0.0621613
"wedding dress"	0.0621029
makeup	0.062031
shorts	0.0616808
"body armor"	0.0614026
collar	0.0612636
getup	0.0610991
scowl	0.0600908
hairdo	0.059948
ponytail	0.0599254
capris	0.0591892
stripe	0.0590353
camisole	0.0586261
))
("Business Times" (desc 1116.13) (sims
"Straits Times"	0.451209
"Sydney Morning Herald"	0.358865
"Indonesian Observer"	0.354747
"New Straits Times"	0.353491
"Kathmandu Post"	0.321451
"Moscow Times"	0.319664
"Ghana News Agency"	0.317964
"New Nigerian"	0.31238
"Daily Times"	0.311778
"Macao Daily News"	0.310361
"Kyodo News Service"	0.306471
"Agence France Presse"	0.303718
"Ethiopian Herald"	0.301378
"Kyodo News"	0.299359
Antara	0.298481
"Business Day"	0.295206
Sowetan	0.292661
"Saudi Press Agency"	0.292595
"Jakarta Post"	0.289033
"Tehran Times"	0.28803
"New Vision"	0.287521
Haaretz	0.284884
"Egyptian Middle East News Agency"	0.282496
Tass	0.279283
Notimex	0.277885
"Financial Mail"	0.276138
"South China Morning Post"	0.272559
"Bangkok Post"	0.272301
"Le Figaro"	0.270872
"Zimbabwe News Agency"	0.269255
"Egyptian Gazette"	0.268378
"Khaleej Times"	0.267824
"Dow Jones Newswires"	0.265324
"East African Standard"	0.262777
"Rwanda News Agency"	0.262255
"Post Express"	0.261192
"Southern African Broadcasting Association"	0.260313
Noticias	0.260226
MTI	0.259335
"Iran News"	0.257757
"Kenya Times"	0.254626
"Thai News Agency"	0.254499
"Zambia News Agency"	0.252651
"Kuwait News Agency"	0.252288
"Jerusalem Post"	0.251484
"Vietnam News"	0.251027
Ansa	0.25076
"Daily Mail"	0.250695
Lusa	0.250091
"Alam Al Yom"	0.249898
"Business Weekly"	0.249565
"U.S. Labor Department"	0.249516
"Korean Central News Agency"	0.248542
"Australian Associated Press"	0.248529
"Philippine News Agency"	0.246277
"Cyprus News Agency"	0.246053
"El Pais"	0.245394
"Le Monde"	0.243868
"The New Vision"	0.241357
"The Monitor"	0.237562
"Al Ahram"	0.236383
"Gulf News"	0.233131
"Daily Star"	0.232674
"Jordan Times"	0.232602
Kommersant	0.232058
"Nihon Keizai Shimbun"	0.231462
"Nihon Keizai"	0.229891
"El Mundo"	0.229251
L'Equipe	0.22893
"Daily Telegraph"	0.228333
"Washington Times"	0.226783
"Seattle Times"	0.225118
"United Press International"	0.22381
Bernama	0.223279
"Ethiopian News Agency"	0.221918
Angop	0.216491
"Boston Herald"	0.21638
BS	0.215983
"Antara News Agency"	0.215976
"Financial Times"	0.215797
Maariv	0.214668
"Daily Nation"	0.214592
"Radio Uganda"	0.213617
Hurriyet	0.213471
PTI	0.212146
Granma	0.208013
Kyodo	0.207657
"Turkish Daily News"	0.206944
Reforma	0.206289
Al-Ahram	0.20596
KPL	0.20458
"National Association of Realtors"	0.203282
WAM	0.202977
"Agence France-Presse"	0.202876
"Guangming Daily"	0.202679
MENA	0.202619
"Al Hayat"	0.201453
ATA	0.201267
SAPA	0.200663
"Iraqi News Agency"	0.199875
"Associated Press of Pakistan"	0.19922
"Press Trust of India"	0.199196
"Beijing Daily"	0.198412
IRNA	0.198202
"Detroit News"	0.197802
"British Broadcasting Corporation"	0.196981
Herald	0.196162
"News Agency of Nigeria"	0.195564
"Statistics Canada"	0.19498
"Israel Radio"	0.193797
RSS	0.192625
"Wenhui Daily"	0.192249
"Yediot Ahronot"	0.192023
"Zambia Daily Mail"	0.189417
Petra	0.189134
"Detroit Free Press"	0.18871
"China Youth Daily"	0.188387
al-Hayat	0.187501
"Athens News Agency"	0.185957
"China Daily Business Weekly"	0.185808
"Vietnam News Agency"	0.18531
"Asahi Shimbun"	0.184979
"Yomiuri Shimbun"	0.18435
"South African Press Association"	0.180996
"Der Spiegel"	0.180725
ABS-CBN	0.18049
Sera	0.179384
"China Daily"	0.176297
Tanjug	0.175427
Asahi	0.175288
"East African"	0.174168
Politika	0.17356
NTV	0.173384
"Miami Herald"	0.168879
Malaya	0.168284
"Middle East News Agency"	0.16814
Anatolia	0.167627
"New York Daily News"	0.167371
"Islamic Republic News Agency"	0.16681
"Daily News"	0.166453
AFP	0.165962
Bild	0.15915
Salam	0.156034
CTV	0.155988
"New Light"	0.155969
"Los Angeles Times"	0.154945
"Economic Daily"	0.15436
APP	0.152965
RNA	0.150798
"U.S. Commerce Department"	0.150156
"Jerusalem Media and Communication Center"	0.149754
"Anatolia News Agency"	0.149551
"Philadelphia Inquirer"	0.148516
"press agency"	0.148425
"Dallas Morning News"	0.147979
Spiegel	0.147904
"San Francisco Chronicle"	0.14731
APA	0.146111
"Denver Post"	0.144545
Reuters	0.144429
Jana	0.144173
INA	0.143806
Yomiuri	0.142136
Interfax	0.140677
"Bloomberg News"	0.1401
"New York Post"	0.139975
"Information Center"	0.139852
NHK	0.139645
TT	0.137149
"Conference Board"	0.135933
KUNA	0.135844
"Wall Street Journal"	0.135739
Itar-Tass	0.135293
CNA	0.134351
"Washington Post"	0.134187
telegraph	0.133913
"Evening Standard"	0.129683
Inquirer	0.128847
"Houston Chronicle"	0.127928
"Hartford Courant"	0.127467
"USA TODAY"	0.126797
"Press Trust"	0.126564
Star-Ledger	0.126528
Dominion	0.126138
"Xinhua News Agency"	0.12487
"Beijing Youth Daily"	0.124405
"British Broadcasting Corp."	0.124144
Eurostat	0.124111
Al-Thawra	0.123918
tribune	0.121432
"National Post"	0.121185
"Chicago Tribune"	0.120891
"Australian Bureau of Statistics"	0.119705
PAP	0.119589
Guardian	0.119263
Aventajado	0.11903
Lancet	0.118153
BBC	0.117879
Ruehe	0.113835
gazette	0.113395
"Arizona Republic"	0.112837
SSB	0.109526
Izvestia	0.109275
"news service"	0.105505
"International Business Daily"	0.104996
"Kosovo Information Center"	0.104471
newsmagazine	0.10427
"St. Louis Post-Dispatch"	0.103608
"Orange County Register"	0.101647
Harmoko	0.101269
"San Antonio Express-News"	0.100574
Post-Intelligencer	0.100527
Itogi	0.100024
))
("business traveler" (desc 9107.99) (sims
traveler	0.145063
shopper	0.116262
commuter	0.107472
tourist	0.100855
"home buyer"	0.0968239
retiree	0.0940477
user	0.0939769
drinker	0.0929025
vacationer	0.0924056
consumer	0.0917275
customer	0.0916869
teens	0.089041
surfer	0.0878373
visitor	0.0873554
weekender	0.086196
homeowner	0.0859898
buyer	0.0845972
passenger	0.084482
"senior citizen"	0.0841596
Beijingers	0.0836907
moviegoer	0.0820018
Reader	0.081885
Californian	0.0795572
"college student"	0.0788044
"people of color"	0.0778197
smoker	0.0776342
foreigner	0.0773717
clientele	0.0768724
African-American	0.0767739
traveller	0.0767577
gamers	0.0765278
Hispanic	0.0764586
viewer	0.0762375
"baby boomer"	0.0761832
elderly	0.0757206
adult	0.0757076
gambler	0.0754908
enthusiast	0.075268
snowbird	0.0744067
townsfolk	0.0739093
backpackers	0.0725871
pilgrim	0.07243
affluent	0.0723211
businessmen	0.0718726
suburbanite	0.0718595
Quebecers	0.0713916
schoolchildren	0.0697283
Latino	0.0696542
conventioneer	0.0696375
trader	0.0693995
advertiser	0.0691896
angler	0.0691511
household	0.0690052
cardholders	0.0687644
tenant	0.0683662
immigrant	0.0683133
Travelers	0.0681755
youngster	0.0679871
"New Yorker"	0.0676722
motorist	0.0675369
expatriate	0.067484
Muscovite	0.0674358
subscriber	0.0673512
filmmakers	0.0672592
pedestrian	0.0669285
disabled	0.0667723
listener	0.0665249
merchant	0.0661941
Atlantans	0.0659988
addict	0.0654786
diner	0.0650408
migrant	0.0649448
hiker	0.0648507
collector	0.0648293
"sports fan"	0.0643301
folk	0.0642044
taxpayer	0.0640697
applicant	0.063971
do-it-yourselfers	0.0634759
churchgoer	0.0633303
sufferer	0.063
dieters	0.0627795
telecommuters	0.0625522
Mexican	0.0622728
attendees	0.0619361
teen-ager	0.0617827
Singaporean	0.0612169
theatergoer	0.0610788
filmgoers	0.0608895
novice	0.060885
"AIDS patient"	0.0608804
Fishermen	0.0607942
beneficiary	0.0607564
"drug user"	0.0604217
employer	0.0603095
beginner	0.0602277
adventurer	0.0599909
honeymooner	0.0597221
Filipino	0.059532
Iowan	0.0593557
newlywed	0.0593267
borrower	0.0592688
registrant	0.0591989
bottlers	0.0590358
Southerner	0.0588199
Floridian	0.0585998
job-seekers	0.058488
renter	0.0584767
enrollee	0.0584273
illiterate	0.0582999
"job seeker"	0.0582593
policyholder	0.0581403
"business executive"	0.0577266
"stamp collector"	0.0573433
skier	0.0571023
"New Englander"	0.0570602
examinees	0.0570262
respondent	0.056882
newcomer	0.0568471
entrepreneur	0.056569
"union member"	0.056473
homebuyers	0.0564671
aged	0.056319
"foster child"	0.0559786
electorate	0.0559361
"school district"	0.055753
"middle class"	0.0557386
flier	0.0555469
teenager	0.0555453
Nigerian	0.0554384
learner	0.0553487
golfer	0.0552809
hobbyist	0.0552195
Thai	0.0550266
shipper	0.055017
evacuee	0.0549611
"Asian Americans"	0.0548883
illegals	0.0548187
Colombian	0.0547836
camper	0.0547798
Ecuadoreans	0.0546963
ISPs	0.0545752
homeless	0.0543017
Egyptian	0.0542102
transient	0.0542083
Parisian	0.0539797
"travel agent"	0.0536391
Texan	0.053628
"wage earner"	0.0535425
retailer	0.0535302
nonprofits	0.0535265
diabetic	0.0535182
probationer	0.0535076
Ukrainians	0.053494
schoolers	0.0534882
villager	0.0534652
Briton	0.0533502
buff	0.0532871
importer	0.0532302
highflier	0.0531322
"university student"	0.053129
"over @@"	0.0530918
mainlanders	0.0530849
westerner	0.0529497
"married couple"	0.0529181
seeker	0.0526878
"international flight"	0.0526759
undergraduate	0.0526067
birder	0.0524465
boomer	0.0522779
Catholic	0.0522666
"African Americans"	0.0522347
adolescent	0.0521912
sightseer	0.0521825
Tibetans	0.0520544
bettor	0.0518751
trafficker	0.0517968
Cuban	0.0514295
constituent	0.0513683
sixth-graders	0.0512683
"New Jerseyans"	0.0511091
beachgoers	0.0510402
"South Carolinian"	0.0508371
marketers	0.0508321
developer	0.0508051
dweller	0.0507781
holidaymaker	0.0506955
"market participant"	0.0506705
Ugandan	0.0505743
first-timers	0.0503721
gardener	0.0503128
"San Franciscans"	0.0501688
"business leader"	0.0501575
"farm worker"	0.0501507
Haitian	0.0501335
eighth-graders	0.0500482
recipient	0.0499857
Georgian	0.0499744
TRUANT	0.0499322
out-of-towners	0.0499169
))
("business unit" (desc 5946.47) (sims
"business line"	0.121573
"product line"	0.101119
"retail operation"	0.0926402
"line of business"	0.0923431
"software product"	0.0915054
"sales force"	0.0883717
subsidiary	0.0844706
"communications service"	0.0801916
"major-league team"	0.0770374
"brokerage unit"	0.075301
"line of products"	0.074577
entity	0.0737065
"publishing company"	0.0733386
"manufacturing plant"	0.0723369
"holding company"	0.0718821
"investment fund"	0.0700725
"communication network"	0.0698763
"Services division"	0.0688547
"food company"	0.0686811
"software system"	0.0685849
"communications network"	0.0671282
parastatals	0.0661308
"work group"	0.0658409
CNPC	0.0657865
"subsidiary company"	0.0647886
"software package"	0.0641874
"geographic area"	0.0639708
"two units"	0.0629382
"joint venture"	0.0628287
"Office @@@@"	0.0628015
"marketing effort"	0.0627332
"business plan"	0.0627236
"equity fund"	0.0625301
"accounting system"	0.0624272
databank	0.0623535
"marketing program"	0.0621486
"retail chain"	0.0620392
"computer network"	0.0619593
"department store chain"	0.0615509
"investment portfolio"	0.061018
"storage device"	0.0610168
"cable system"	0.0609599
subgroup	0.0606119
homepages	0.0604612
"Go Network"	0.0603758
"consulting company"	0.0603109
"pressure group"	0.0601917
"common shares"	0.0600075
"communications satellite"	0.0599267
"insurance firm"	0.0598615
"development center"	0.059581
"professional association"	0.0593896
bottlers	0.0590387
"telephone network"	0.0587948
"Baby Bells"	0.0584269
"research center"	0.0582295
"athletic facility"	0.0580201
"trunk line"	0.0576729
Services	0.057597
portfolio	0.0575539
brokerage	0.0573736
"business development"	0.0571033
"telephone system"	0.0565028
"military unit"	0.0564591
Portal	0.0562622
supercomputers	0.056194
"investment firm"	0.056179
consortia	0.056164
"Kosovo Verification Mission"	0.0560373
router	0.0559505
"Internet Service Providers"	0.0559014
server	0.0558877
"distribution system"	0.0558718
"investment trust"	0.0558677
conglomerate	0.0557204
ISPs	0.0556258
"distribution network"	0.0556112
"delivery service"	0.0555233
PAC	0.0554379
"TV station"	0.0552268
Website	0.055162
superstore	0.0550806
"information system"	0.0550049
"state enterprise"	0.0549568
startup	0.0549279
"manufacturing business"	0.0540425
"personnel department"	0.0538374
"power unit"	0.0538233
"industrial enterprise"	0.0538046
bureaus	0.0537962
"defense contractor"	0.0535264
gyroscope	0.0534954
"weapons system"	0.0534826
"telephone company"	0.053395
"finance company"	0.0530927
"marketing campaign"	0.0530475
"production line"	0.0529375
"nonprofit organization"	0.0528499
"phone system"	0.0527475
"trade association"	0.0527107
"branch office"	0.0526629
"brokerage account"	0.0525657
"computer business"	0.0523707
"employment agency"	0.0522684
"service area"	0.052239
bottler	0.0520714
"banking company"	0.0520518
spinoffs	0.0518722
"information service"	0.0516409
intranet	0.0516076
Concordes	0.0515838
"travel agency"	0.0514191
"retail store"	0.0514087
"political action committee"	0.0514053
shareholding	0.051288
"Wine Institute"	0.0512477
"phone company"	0.051199
"product development"	0.0509585
GPU	0.0508284
wireless	0.0504914
"financial institution"	0.0502848
major-leaguers	0.0501453
"television network"	0.0501315
"bond offering"	0.0498291
"mutual fund"	0.0496209
"auto company"	0.0495292
"mainframe computer"	0.0494758
database	0.0494192
"shipping company"	0.0493715
"satellite receiver"	0.049348
websites	0.0493376
"bus line"	0.0492779
"financial condition"	0.049277
"transportation company"	0.0491875
"programming language"	0.0491305
"flour mill"	0.0489349
"power grid"	0.0489108
"initial public offering"	0.0487649
connectivity	0.0486985
"application program"	0.048628
starts.	0.0485562
"power system"	0.048525
"business activity"	0.0484982
Expedia	0.048487
"Special Economic Zones"	0.0484693
stockholder	0.0483699
"surveillance system"	0.0482757
divestiture	0.0482642
organisation	0.0482453
"service station"	0.0481641
"broadcasting company"	0.0481206
"monitoring program"	0.0480239
SOEs	0.0479984
subsector	0.0479981
"electronics company"	0.0478593
"TV network"	0.0477432
"political movement"	0.0477417
"commercial bank"	0.0476903
behemoth	0.0476385
"trading system"	0.0476259
"railway system"	0.0475355
"transportation system"	0.047467
kiosk	0.0473411
upstart	0.0473027
"semiconductor maker"	0.0472951
GO.com	0.047207
directory	0.047187
"brokerage firm"	0.0471863
"work force"	0.047147
Dutchmen	0.0470258
denomination	0.0470229
"residence hall"	0.0469811
"trading floor"	0.0469492
"mailing list"	0.0468535
"insurance business"	0.0468511
"reserve fund"	0.0468394
domain	0.0467685
workstation	0.0466503
"interest group"	0.0465622
"advertising agency"	0.0464667
"No. @s"	0.0464215
"credit bureau"	0.0463527
turbine	0.046266
beany	0.0462186
"social group"	0.0461921
"trade publication"	0.0461694
Conrail	0.0461458
stents	0.0460996
"consulting firm"	0.0459488
refinery	0.0459144
"joint-stock company"	0.0458577
"ad agency"	0.0457918
hardware	0.0456545
ECN	0.0455956
subcontractor	0.0454829
"sales staff"	0.0454314
taskforce	0.0454313
"production facility"	0.0453466
PACs	0.0453227
"monetary system"	0.0452983
))
("Business Week" (desc 4792.51) (sims
"N.Y.Times News Service"	0.214924
Newsweek	0.201389
"vanity fair"	0.183954
"Der Spiegel"	0.18328
GQ	0.17992
"Entertainment Weekly"	0.179378
"World Report"	0.178423
"Washington Post"	0.177813
"Atlantic Monthly"	0.161879
"U.S. News"	0.161766
"New York Post"	0.161344
"Sports Illustrated"	0.160186
"Wall Street Journal"	0.15771
"Advertising Age"	0.150797
"New Republic"	0.150234
"USA TODAY"	0.140548
"TV guide"	0.137953
Esquire	0.135915
"Village Voice"	0.135041
"Washington Times"	0.134732
"Rolling Stone"	0.13212
Forbes	0.130516
"Financial Times"	0.128334
"N.Y. Times News Service"	0.126444
"Los Angeles Times"	0.126246
"San Jose Mercury News"	0.125149
"Consumer Reports"	0.124415
"New York Daily News"	0.119643
"National Journal"	0.117926
"Sporting News"	0.117645
"National Geographic"	0.116594
"National Enquirer"	0.115837
"St. Louis Post-Dispatch"	0.11493
"Daily News"	0.113099
"Denver Post"	0.112588
Enquirer	0.111971
Elle	0.111629
"International Herald Tribune"	0.11077
"Chicago Sun-Times"	0.109567
"New York Times"	0.109178
"United Press International"	0.108934
"Weekly Standard"	0.107352
"Chicago Tribune"	0.106515
"Philadelphia Inquirer"	0.105151
"Wear Daily"	0.104671
"Daily Telegraph"	0.104455
Newsday	0.104302
vogue	0.104052
Fortune	0.10399
Times	0.103902
"Atlanta Journal-Constitution"	0.103145
Post-Intelligencer	0.102582
"Boston Globe"	0.10192
Redbook	0.100311
"San Francisco Examiner"	0.0999526
"New Straits Times"	0.0990347
"Dow Jones Newswires"	0.0989578
Barron	0.0979954
"Hartford Courant"	0.0979879
"Dallas Morning News"	0.0963092
"San Antonio Express-News"	0.0958814
Thu	0.0951689
"Martha Stewart Living"	0.0949407
"Straits Times"	0.0944552
"Seattle Times"	0.0937638
"New York Times Magazine"	0.09316
"Houston Chronicle"	0.0925415
tribune	0.091828
Mademoiselle	0.0899965
"Detroit News"	0.0899506
"Good Housekeeping"	0.0896755
"Saturday Evening Post"	0.0886604
Maariv	0.0863392
Itogi	0.0855259
"Teen People"	0.0844174
NASCAR	0.0843152
"Orange County Register"	0.0842939
"Bloomberg News"	0.0837954
"tabloid newspaper"	0.0834501
"New York Observer"	0.0831963
"smart money"	0.0818432
"Atlanta Constitution"	0.0800852
"Boston Herald"	0.0799287
"Austin American-Statesman"	0.0796466
"Nairobi Stock Exchange"	0.0794043
Weisman	0.0792073
Haaretz	0.0789391
Star-Ledger	0.0782273
Finkel	0.0773118
Salon.com	0.0769401
"Arizona Republic"	0.0765528
"Tehran Times"	0.0764775
Reforma	0.0764124
"Moscow Times"	0.0760244
journal	0.07602
periodical	0.0760116
"Miami Herald"	0.0759038
"Business Times"	0.0742477
"New England Journal"	0.0742221
"Hollywood Reporter"	0.0735613
"Des Moines Register"	0.0734603
"Koha Ditore"	0.0731557
Krugman	0.0731314
OED	0.07303
"Sydney Morning Herald"	0.0730284
"New York Herald Tribune"	0.0729782
"Yomiuri Shimbun"	0.0727875
cosmopolitan	0.0726491
tabloid	0.0725423
JAMA	0.0719431
Coen	0.0715859
Digest	0.0715403
"Free Press"	0.0710138
playboy	0.0707948
"El Mundo"	0.0704447
Zuckerman	0.0704063
Macworld	0.070382
"El Pais"	0.0703493
examiner	0.0703486
"San Francisco Chronicle"	0.0702457
"Detroit Free Press"	0.0700697
"Le Figaro"	0.0700654
IRNA	0.0699187
Star-Telegram	0.0697816
"Evening Standard"	0.0693227
Rubenstein	0.0692832
Spiegel	0.0689255
seventeen	0.0687764
Duffy	0.0685377
Lancet	0.0684512
"International Business Daily"	0.068281
"Kansas City Star"	0.0678017
newsweekly	0.0672594
"Baseball America"	0.0672478
MTI	0.0670488
Antara	0.0669732
brill	0.0666569
"Jerusalem Post"	0.0666441
"National Association of Realtors"	0.0659834
Gorman	0.0658837
Notimex	0.0657485
"Foreign Affairs"	0.0652476
"Hearst Newspapers"	0.0651387
"wire service"	0.0649979
"Business Weekly"	0.0647623
Mirabella	0.064608
"Fort Worth Star-Telegram"	0.0644536
"U.S. Labor Department"	0.0643441
Al-Ahram	0.0642326
Vibe	0.0640296
gazette	0.0639532
"Cincinnati Enquirer"	0.0639068
telegraph	0.0637613
"Fast Company"	0.0635559
"red herring"	0.0634214
Ansa	0.0633998
newsletter	0.0633308
"Atlanta Journal"	0.0629455
Izvestia	0.0626355
"Nielsen Media Research"	0.0623124
Moser	0.0621314
"Asahi Shimbun"	0.0621244
Jane	0.0621002
"Daily Mail"	0.0620833
"Iran News"	0.0619129
"Egyptian Middle East News Agency"	0.061726
"Le Monde"	0.0613479
Gibbons	0.0611477
"Associated Press"	0.0610669
Inquirer	0.0609735
"Agence France Presse"	0.060811
"Conde Nast"	0.060743
"Palm Beach Post"	0.0606134
"South China Morning Post"	0.0604587
Butterworth	0.0603242
Felton	0.0602871
"Economic Planning Agency"	0.060031
"Conference Board"	0.0596564
"New York Times Book Review"	0.059568
"Cable News Network"	0.0594968
Auerbach	0.059326
L'Equipe	0.0591784
"National Post"	0.0591628
"CBS News"	0.0591229
"National Public Radio"	0.059102
Edelstein	0.0590026
"Time Inc."	0.0589771
"British Broadcasting Corp."	0.0584994
Tass	0.0583748
Reuters	0.0583748
CNN	0.0583047
Berman	0.0582991
"Guangming Daily"	0.0580531
maxim	0.057884
Singson	0.0577294
Forrester	0.0574937
Ruehe	0.0573975
Ulrich	0.057347
"NBC News"	0.0573215
"news service"	0.0571608
))
("Business Weekly" (desc 4397.43) (sims
"Straits Times"	0.299018
"Business Times"	0.249565
"Egyptian Gazette"	0.246784
"Agence France Presse"	0.244179
"Korean Central News Agency"	0.24014
"Jerusalem Post"	0.234539
"Indonesian Observer"	0.231768
"Gulf News"	0.230712
"Saudi Press Agency"	0.229933
"Bangkok Post"	0.227506
"China Daily Business Weekly"	0.22747
"Tehran Times"	0.22284
"Egyptian Middle East News Agency"	0.220893
"Associated Press of Pakistan"	0.219826
Haaretz	0.21712
"Daily Star"	0.216639
"Khaleej Times"	0.211372
"China Daily"	0.211237
Noticias	0.209591
"Jordan Times"	0.208967
"New Vision"	0.208918
"South China Morning Post"	0.208049
Lusa	0.206334
"Macao Daily News"	0.203048
"Kyodo News"	0.200194
"Alam Al Yom"	0.199146
"Iraqi News Agency"	0.198869
Angop	0.198446
"Business Day"	0.197754
"Thai News Agency"	0.197711
"Ethiopian News Agency"	0.197559
"Kathmandu Post"	0.196841
Antara	0.195864
"Kenya Times"	0.194966
"Kyodo News Service"	0.193021
"East African Standard"	0.190685
"Moscow Times"	0.189633
"Jakarta Post"	0.188897
"Ghana News Agency"	0.186752
"Philippine News Agency"	0.186182
"New Light"	0.1859
Ansa	0.185629
"Sydney Morning Herald"	0.183261
"Le Monde"	0.180666
"Ethiopian Herald"	0.180137
"Daily Times"	0.175353
"Beijing Daily"	0.175206
"Kuwait News Agency"	0.174544
"Al Ahram"	0.172568
Sowetan	0.171361
Kommersant	0.169303
"Al Hayat"	0.169104
Bernama	0.168942
"Radio Uganda"	0.168736
"New Straits Times"	0.168082
"British Broadcasting Corporation"	0.167884
"Agence France-Presse"	0.167595
"Le Figaro"	0.167003
"News Agency of Nigeria"	0.166445
"Financial Mail"	0.165563
al-Hayat	0.165003
IRNA	0.164757
"Vietnam News"	0.164745
"Daily Nation"	0.164354
"Turkish Daily News"	0.163942
Tass	0.163521
"South African Press Association"	0.162617
"Israel Radio"	0.161861
"Anatolia News Agency"	0.161524
"Vietnam News Agency"	0.160892
"Zambia Daily Mail"	0.159418
"Rwanda News Agency"	0.158884
"Press Trust of India"	0.158587
"The New Vision"	0.158364
"Middle East News Agency"	0.15826
"Zambia News Agency"	0.157932
"Australian Associated Press"	0.15656
"Daily Telegraph"	0.155114
"Wenhui Daily"	0.1548
"China Youth Daily"	0.154477
"New Nigerian"	0.154148
Maariv	0.153552
"Southern African Broadcasting Association"	0.153238
"Guangming Daily"	0.152682
"The Monitor"	0.151716
Tanjug	0.150874
"U.S. Labor Department"	0.146161
Notimex	0.14572
Kyodo	0.145155
"Der Spiegel"	0.144546
"Washington Times"	0.143716
"Dow Jones Newswires"	0.14338
"Financial Times"	0.143087
"Economic Daily"	0.14252
"Antara News Agency"	0.142308
AFP	0.142118
"Nihon Keizai"	0.14139
Petra	0.141024
"Islamic Republic News Agency"	0.140837
Reforma	0.140559
KPL	0.139412
"Post Express"	0.13906
SAPA	0.13899
"Athens News Agency"	0.136748
"Iran News"	0.136455
"Cyprus News Agency"	0.134195
Herald	0.134074
MTI	0.1338
"East African"	0.133752
L'Equipe	0.132601
"Daily News"	0.132194
MENA	0.130548
Hurriyet	0.129761
Interfax	0.129569
"Seattle Times"	0.128735
"Washington Post"	0.127762
"Dallas Morning News"	0.127225
"Yediot Ahronot"	0.127142
Itar-Tass	0.126962
"El Mundo"	0.126581
"Zimbabwe News Agency"	0.125823
"Nihon Keizai Shimbun"	0.125573
Malaya	0.123485
Al-Ahram	0.123302
"Wall Street Journal"	0.122872
ATA	0.121797
"New York Daily News"	0.120985
"United Press International"	0.119736
"International Business Daily"	0.119396
"National Association of Realtors"	0.118993
"Beijing Youth Daily"	0.117257
"press agency"	0.116534
"Daily Mail"	0.115388
INA	0.115077
Eurostat	0.114574
"Statistics Canada"	0.114174
RSS	0.11381
BS	0.113181
"Xinhua News Agency"	0.11288
WAM	0.112533
"El Pais"	0.111436
Politika	0.110695
PTI	0.110549
Reuters	0.110249
"Los Angeles Times"	0.109106
"USA TODAY"	0.107968
"Press Trust"	0.107522
"New York Post"	0.1067
APP	0.106429
"Koha Ditore"	0.104434
"Asahi Shimbun"	0.103669
Times	0.102781
Sera	0.100571
Salam	0.10005
"U.S. Commerce Department"	0.0995179
"Boston Herald"	0.0994248
"Bloomberg News"	0.0993343
"Yomiuri Shimbun"	0.0988258
Asahi	0.0976679
"Chicago Tribune"	0.0955215
Granma	0.092522
Anatolia	0.0924271
"news agency"	0.0921497
"Philadelphia Inquirer"	0.0919066
"New York Times"	0.0900714
TT	0.0899555
"State Statistics Bureau"	0.0896989
"Miami Herald"	0.089463
Spiegel	0.0888069
KUNA	0.0882294
Guardian	0.0875837
APA	0.0868055
Bild	0.0866439
"Conference Board"	0.084979
Yomiuri	0.0845687
"Jerusalem Media and Communication Center"	0.0843906
"Central Bureau of Statistics"	0.081811
"Detroit News"	0.081781
Dominion	0.0800809
telegraph	0.0797851
NTV	0.0793326
CNA	0.0789291
Newsweek	0.0789062
"Australian Bureau of Statistics"	0.0785701
"Denver Post"	0.0785433
ABS-CBN	0.078135
NHK	0.0776331
BBC	0.077507
"Houston Chronicle"	0.0770611
"Advertising Age"	0.076551
Jana	0.0760721
"Associated Press"	0.075609
"Economic Planning Agency"	0.0753292
"Information Center"	0.0751168
Inquirer	0.0747911
RNA	0.0736412
"Wen Wei Po"	0.0730586
"Census Bureau"	0.0713034
frontpage	0.0710319
CTV	0.069691
))
(business-to-business (desc 4565.31) (sims
B@B	0.269404
e-business	0.14335
Internet-based	0.107887
retail	0.106183
pan-European	0.105316
multimedia	0.0963907
broadband	0.0946305
one-to-one	0.0943601
dot.com	0.0914599
collaborative	0.0860718
web-based	0.0849733
"consumer product"	0.083794
"high technology"	0.0813151
small-business	0.0810282
Telecoms	0.0775631
asp	0.0774526
telephony	0.0752956
"investment banking"	0.0752243
after-hours	0.0737305
"back office"	0.0709076
leasing	0.0684835
"chain store"	0.0675415
FOREX	0.0675015
retailing	0.0673416
"mail order"	0.0660988
"building product"	0.065854
REIT	0.0658536
"data communication"	0.0653988
Telecom	0.0651534
telemarketing	0.0651479
"consumer credit"	0.065107
Gaming	0.0646961
for-profit	0.0646119
barter	0.063757
warehousing	0.0634745
"small cap"	0.0628742
"Silicon Alley"	0.062746
telecommunication	0.062652
aerospace	0.0625766
networking	0.0616967
"data processing"	0.0616054
VC	0.0611969
"venture capital"	0.0602987
"five key"	0.0598701
dot-com	0.0597792
healthcare	0.0595003
"computer hardware"	0.0594551
"real estate"	0.0594301
"penny stock"	0.0594046
syndication	0.0593943
cross-Straits	0.0593515
"life insurance"	0.0592459
publishing	0.059073
computing	0.0589857
foreign-funded	0.0586158
biotech	0.0583075
Sino-Japanese	0.058301
forwarding	0.0579142
niche	0.0576964
Asia-Europe	0.0575989
"wireless telephone"	0.0575599
Sino-French	0.0574067
bare-bones	0.0573923
mainframe	0.0573771
fastest-growing	0.0572661
arbitrage	0.0566596
"Three key"	0.0563437
Sino-Russian	0.0552855
shipbuilding	0.055249
"billion dollar"	0.0551382
reinsurance	0.0548244
multilevel	0.0547845
"information technology"	0.0547811
connectivity	0.0547074
intranet	0.0544937
CDMA	0.0543672
Quicktime	0.0543046
multiplayer	0.0541723
merchandising	0.0538131
videophone	0.053799
Sunnyvale	0.0537469
"communications service"	0.0535694
Unix	0.0535677
vending	0.0531094
inter-Arab	0.0530966
accountancy	0.0530748
midsize	0.0529917
semiconductor	0.0529127
"end user"	0.0527957
agribusiness	0.0526004
"North American"	0.0525014
ISP	0.051477
"information service"	0.0509095
"Far Eastern"	0.0507356
"B share"	0.0506989
"public utility"	0.0506257
"life science"	0.0502674
brokerage	0.0500447
interbank	0.0499834
ecotourism	0.0499563
videogame	0.0499173
"four key"	0.0497752
personalization	0.0495318
"consumer electronics"	0.0494897
"Sprint PCS"	0.0492909
on-campus	0.0489529
Non-governmental	0.0488186
optic	0.0487963
"communications equipment"	0.0487347
"pen pal"	0.0486507
genomics	0.0485987
shareware	0.0485792
"back end"	0.0482321
auto	0.0476085
export-oriented	0.0475585
"greeting card"	0.0474854
IC	0.0474632
Sino-African	0.0473502
"R&AMP;D"	0.0467472
"Old Town"	0.0467334
E-ZPass	0.0466689
WAP	0.0463999
MSN	0.0463783
"bank card"	0.0463052
workstation	0.0460675
inter-Korean	0.0460423
nt	0.0460038
U.S.-Russian	0.0459609
logistics	0.0457726
IDD	0.045339
"black market"	0.0453019
GO.com	0.0450996
"cable television"	0.0450535
"home appliance"	0.0449128
no-frills	0.0446764
"bond trading"	0.0445864
"charge card"	0.0444982
"Dallas-Fort Worth"	0.0444195
automation	0.0443727
Salon.com	0.0442755
speciality	0.0442583
freight	0.0442318
"million Dollar"	0.0440592
copier	0.0439204
"interior decoration"	0.0437942
petrochemical	0.0436092
DSL	0.0434515
Netcenter	0.0430713
"fiber optics"	0.0429515
"South San Francisco"	0.0428919
escrow	0.0427555
"municipal bond"	0.042704
"junk bond"	0.0423929
consultancy	0.0423479
"consumer goods"	0.0422622
"call waiting"	0.0422122
"pet food"	0.042195
"phone service"	0.0421741
desktop	0.0421219
"cellular telephone"	0.0421188
U.K.	0.0420356
"investment trust"	0.0419347
handheld	0.0419322
high-volume	0.0419267
Microelectronics	0.0416578
catering	0.0416355
"computer network"	0.041478
Andover	0.0414289
"telephone directory"	0.0414228
China-U.S.	0.0412514
multichannel	0.0412045
T-bill	0.0411826
iTV	0.0411292
apparel	0.041029
dictation	0.0409912
"road runner"	0.0408026
snap.com	0.0407451
"specialty chemical"	0.0407434
FDI	0.040629
Sino-British	0.0406141
ATHOME	0.0405183
beverage	0.0403835
newsgroups	0.0403589
Emeryville	0.0402931
longterm	0.0402359
"Southern Co."	0.040227
cyber	0.0401919
"electric power"	0.0400621
))
(BUSINESSES (desc 1763.26) (sims
"U.S. STOCKS"	0.127359
"Adobe Systems"	0.0900938
COS.	0.0896674
abacus	0.0799275
Telebras	0.0757551
Omnipoint	0.0729608
qtr	0.0718972
"bank debt"	0.071441
"manufacturing business"	0.0712605
Italia	0.0694379
Broadcast.com	0.0679993
YPF	0.0677161
"media property"	0.0664923
Asarco	0.0653625
XYLAN	0.0649594
"Rolls-Royce Motor Cars"	0.0628473
Networks	0.0627929
Scania	0.0622883
"insurance business"	0.0605759
Drugstore.com	0.0598794
Govt	0.0596661
Services	0.0594787
COACHES	0.0591086
shredders	0.0587034
"takeover speculation"	0.0580029
"rate cut"	0.0579004
"line of products"	0.0578337
"train ticket"	0.0578131
"tax change"	0.0567494
CitySearch	0.0565969
purifier	0.0555664
"electric car"	0.0554285
"breathing space"	0.0548237
Orders	0.0541404
Tools	0.0535365
T-bonds	0.0530973
skyboxes	0.0529029
"club membership"	0.0519017
adoptees	0.0516211
"rate rise"	0.0508318
"ownership stake"	0.0507252
techs	0.0506004
"America West Airlines"	0.0505253
Immunex	0.0504567
"retail operation"	0.0503212
widget	0.050095
Tropicana	0.0497183
CDnow	0.0496035
"job cut"	0.0494988
VENATOR	0.0492878
BN	0.0491492
Ingram	0.0489117
CMG	0.0486883
HomeGrocer.com	0.0486112
"stock split"	0.048437
"repair shop"	0.0482965
"airplane ticket"	0.0481885
VISTEON	0.0477827
Projects	0.0477115
Airtouch	0.0474528
"securities business"	0.0472469
Tankan	0.0469129
Nextel	0.0468055
"business line"	0.0467761
Echostar	0.0467567
"Cliffs Notes"	0.0467139
Netcom	0.0462782
"Canadian Airlines"	0.0462283
Moody's	0.046215
"UAL Corp."	0.0460215
"car insurance"	0.0460012
WebMD	0.0456444
boxwood	0.0455703
"Campbell Soup"	0.0454793
Chris-Craft	0.0452809
"equity stake"	0.0449654
"power company"	0.0449619
chipmakers	0.0447864
"key rate"	0.0447493
Brittan	0.0446723
analyzer	0.0446359
TAXES	0.0446127
"compact car"	0.0443789
"money order"	0.0443579
Netcenter	0.0443343
"Mobil Corp."	0.0441186
"service station"	0.0439596
"department store chain"	0.0439365
Epogen	0.0439208
"golf equipment"	0.0438708
"open-air market"	0.0436112
"newspaper ad"	0.043245
"information provider"	0.0431833
"parcel of land"	0.0430927
Kia	0.0429266
LIPITOR	0.042368
"money supply"	0.0423222
vintner	0.0423104
CPI	0.0423094
Icebox	0.0422765
"hand tool"	0.0422465
"distribution network"	0.0420857
allotment	0.0419005
"Monetary Policy Committee"	0.0418765
"insurance premium"	0.0416109
"rate hike"	0.0415725
Zeneca	0.0413613
"order form"	0.0412953
VICKERS	0.0412936
"Democratic Alliance"	0.0410809
HARDCOVER	0.0410641
"Land Cruiser"	0.0409985
"auto maker"	0.0409887
Travelers	0.0405923
sport-utility	0.0405451
Media-MOST	0.0404987
RVs	0.0403079
"disability insurance"	0.0402998
Parmigiano-Reggiano	0.0402799
Spyglass	0.0402593
))
(businessman (desc 59394.5) (sims
financier	0.156114
businessmen	0.155533
tycoon	0.154183
entrepreneur	0.152432
banker	0.140064
"real estate developer"	0.136234
billionaire	0.135761
magnate	0.13525
businesswoman	0.128274
politician	0.124006
Industrialist	0.123185
philanthropist	0.120139
stockbroker	0.118261
millionaire	0.116462
journalist	0.114227
"business executive"	0.113033
lawyer	0.11266
activist	0.111962
"venture capitalist"	0.108611
developer	0.108567
Congressman	0.108161
"army officer"	0.105037
"business leader"	0.103583
man	0.103286
diplomat	0.103279
executive	0.102842
citizen	0.102717
schoolteacher	0.101878
"police officer"	0.0991423
policeman	0.0983745
native	0.09778
"military officer"	0.0966101
Mayor	0.0964204
owner	0.0941081
resident	0.0939257
artist	0.0934865
Attorney	0.0934505
restaurateur	0.0934158
architect	0.0928523
dealer	0.0926735
legislator	0.0926442
dissident	0.0921802
trader	0.0915785
mogul	0.0914555
housewife	0.0912838
Councilman	0.0902585
"investment banker"	0.0899664
clergyman	0.0892314
writer	0.0889893
fisherman	0.0889656
farmer	0.0887583
woman	0.0886319
rancher	0.0884422
musician	0.0883017
doctor	0.0882894
salesman	0.0873408
engineer	0.0871783
priest	0.0868348
educator	0.0867011
surgeon	0.0864227
"truck driver"	0.0863532
teacher	0.0861971
consultant	0.0860562
poet	0.0856749
statesman	0.0852874
merchant	0.0849689
"drug dealer"	0.0848958
oilman	0.0848823
"police sergeant"	0.0846716
scholar	0.0841946
manager	0.0839512
lobbyist	0.083927
multimillionaire	0.0833629
"newspaper editor"	0.0830453
leader	0.0829882
"state senator"	0.0827102
rabbi	0.0826932
collector	0.0826361
officer	0.082415
scientist	0.0821146
preacher	0.0817685
broker	0.081186
author	0.0811587
environmentalist	0.0810388
accountant	0.081028
jurist	0.0809333
member	0.0808575
photographer	0.0807057
lawmaker	0.0804042
Cop	0.0803759
dentist	0.0803074
physician	0.080134
filmmaker	0.0801144
official	0.0799558
father	0.0799001
academic	0.0797696
friend	0.0797104
intellectual	0.0793332
individual	0.0790979
donor	0.0790441
"art dealer"	0.0790184
brother	0.0784033
pastor	0.0783631
student	0.0782251
missionary	0.0781774
person	0.078091
designer	0.0780008
defendant	0.0779453
national	0.0778666
painter	0.0777041
promoter	0.0775205
contractor	0.0774285
pilot	0.0772696
cleric	0.0770184
detective	0.0769887
actor	0.0767781
investor	0.0766575
teen-ager	0.076491
immigrant	0.0764658
publisher	0.0764536
"school teacher"	0.0761617
newspaperman	0.0761152
mobster	0.0760241
soldier	0.0758985
"civic leader"	0.0758775
firefighter	0.0757914
businesspeople	0.0755267
nurse	0.0754992
novelist	0.0751417
Governor	0.0748273
agent	0.0747514
worker	0.0747238
"real estate broker"	0.0744929
athlete	0.0743934
"white man"	0.074152
mother	0.074089
"college student"	0.0740889
suspect	0.0739256
psychiatrist	0.0737904
singer	0.0736853
assemblyman	0.0735446
psychologist	0.0734293
firm	0.0733248
landowner	0.0731966
"cabinet minister"	0.0730006
Colonel	0.0729894
"young man"	0.0728277
"real estate agent"	0.0727525
historian	0.0727191
"police detective"	0.0726447
operative	0.0725842
associate	0.0720709
actress	0.0720003
mathematician	0.0718631
Saudi	0.0718587
Fishermen	0.0717951
"naval officer"	0.0717372
employee	0.0714147
prosecutor	0.0712678
girlfriend	0.0711226
company	0.0710435
operator	0.0709268
professor	0.0708117
"social worker"	0.0707144
husband	0.0706031
"political prisoner"	0.0705648
"drug trafficker"	0.0705367
judge	0.0704757
professional	0.0704301
"religious leader"	0.0703923
sculptor	0.0703882
"car dealer"	0.0701332
"government officials"	0.0700595
veteran	0.0700402
"political leader"	0.0698815
founder	0.069737
philosopher	0.0697119
baron	0.0696746
family	0.0696332
son	0.0696044
socialite	0.0695911
foreigner	0.0693186
technician	0.0693079
"black man"	0.0692864
administrator	0.0692716
General	0.0692502
girl	0.0691195
tourist	0.0689868
"labor leader"	0.0689748
homemaker	0.0689671
parent	0.0689429
consul	0.0688101
captain	0.0687987
reporter	0.0685746
"young woman"	0.0685418
"management consultant"	0.0684014
pianist	0.0683641
senator	0.068281
landlord	0.0682415
physicist	0.0681136
))
(businessmen (desc 68569.3) (sims
"business leader"	0.244299
entrepreneur	0.234377
"business executive"	0.21518
Industrialist	0.212261
businesspeople	0.201795
investor	0.185998
"business community"	0.179892
diplomat	0.178515
journalist	0.171683
banker	0.171127
citizen	0.167996
trader	0.167419
parliamentarian	0.165591
farmer	0.162462
enterpreneurs	0.160959
official	0.159776
scholar	0.156528
businessman	0.155533
politician	0.155269
"military officer"	0.154825
"government officials"	0.154086
tourist	0.148041
scientist	0.145331
foreigner	0.14388
people	0.141325
resident	0.140586
delegation	0.140246
expert	0.139747
academic	0.137535
delegate	0.134671
worker	0.13433
legislator	0.134093
professional	0.133959
enterprise	0.133884
lawmaker	0.133669
Chinese	0.133252
dignitary	0.132374
"foreign minister"	0.132236
exporter	0.13176
"religious leader"	0.131566
visitor	0.131529
student	0.131505
national	0.131007
activist	0.130179
corporation	0.128537
"political leader"	0.127594
member	0.127439
Fishermen	0.127357
developer	0.12672
participant	0.126218
intellectual	0.126055
"policy maker"	0.125722
leader	0.125073
educator	0.124212
"army officer"	0.123892
"university student"	0.123531
Ambassador	0.123324
merchant	0.123104
environmentalist	0.122985
"financial institution"	0.122942
representative	0.122918
"civil servant"	0.122361
"head of state"	0.121711
immigrant	0.12152
company	0.121225
"cabinet minister"	0.121098
statesmen	0.120765
individual	0.120605
manufacturer	0.119758
Malaysian	0.119485
executive	0.119167
government	0.118648
exhibitor	0.117849
"corporate executive"	0.117747
firm	0.115581
congressmen	0.115508
donor	0.115351
guest	0.114943
doctor	0.114051
minister	0.113383
dealer	0.112535
"military personnel"	0.112241
laborer	0.112137
"legal expert"	0.112111
employee	0.111852
"venture capitalist"	0.111449
"political party"	0.111283
"economic expert"	0.110152
"labor leader"	0.110116
consumer	0.110039
counterpart	0.109816
"military leader"	0.109501
researcher	0.109179
soldier	0.108959
employer	0.108577
financier	0.108121
observer	0.107979
"college student"	0.107622
multinationals	0.10759
contractor	0.107369
policemen	0.107164
academician	0.10696
traveler	0.106933
athlete	0.106909
organization	0.106882
group	0.105613
buyer	0.105512
villager	0.105463
operator	0.10528
Filipino	0.105163
migrant	0.105055
authority	0.105024
"family member"	0.104921
Iranian	0.104907
"finance minister"	0.104485
reporter	0.10448
teacher	0.104368
lawyer	0.10413
officer	0.103882
public	0.103217
Japanese	0.102981
"trade union"	0.102627
economist	0.102248
expatriate	0.102103
police	0.10139
landowner	0.101374
grower	0.101177
Israeli	0.10114
owner	0.101024
personnel	0.101018
artist	0.100941
supporter	0.100831
woman	0.100755
NGOs	0.100683
"police officer"	0.100482
engineer	0.100476
dissident	0.100072
American	0.0995956
Russian	0.0992297
"elected official"	0.0992167
policy-makers	0.0988396
insurer	0.0988221
tycoon	0.0986927
"staff member"	0.0984171
"drug trafficker"	0.0982474
business	0.0979666
airline	0.0979114
Lebanese	0.0977825
refugee	0.0975315
regulator	0.0974277
Pakistani	0.0972681
youth	0.0972343
collector	0.0971354
"armed forces"	0.097115
customer	0.096616
parent	0.0965524
bank	0.0963972
"chamber of commerce"	0.0963518
Egyptian	0.0962356
"senior citizen"	0.0958791
schoolchildren	0.0958061
civilian	0.0955677
"local government"	0.0949016
Jordanian	0.0948977
producer	0.0943525
retiree	0.0940327
community	0.0937178
sector	0.0935206
"shipping company"	0.0934777
technician	0.093401
"civic leader"	0.0932123
youngster	0.0929932
agency	0.0929465
servicemen	0.0929273
lobbyist	0.0928157
"world leader"	0.0927539
"insurance company"	0.0927005
volunteer	0.0924622
homeowner	0.0922707
importer	0.0921567
Palestinian	0.0921357
Thai	0.0920176
institution	0.0916441
voter	0.0916329
client	0.0913222
family	0.0912454
"foreign officials"	0.0911105
physician	0.0910254
envoy	0.0905334
specialist	0.0904606
practitioner	0.090451
peasant	0.0903218
automakers	0.0902684
President	0.0901221
clergy	0.0900934
relative	0.0900291
"labor union"	0.0899964
deputy	0.0899959
miner	0.0899384
user	0.089459
))
(businesspeople (desc 8001.04) (sims
enterpreneurs	0.213318
businessmen	0.201795
Industrialist	0.185759
"business executive"	0.182295
"government officials"	0.172286
exhibitor	0.169725
"business leader"	0.162478
entrepreneur	0.15916
dignitary	0.148697
statesmen	0.139124
agronomist	0.131007
scholar	0.129162
educationist	0.118019
"legal expert"	0.1172
"health professional"	0.115609
multinationals	0.113357
parliamentarian	0.112992
seismologist	0.112867
personage	0.112808
emigrant	0.108289
journalist	0.107856
academician	0.106742
"skilled worker"	0.106384
"religious leader"	0.105803
geologist	0.105658
"economic expert"	0.104815
"business community"	0.104222
banker	0.104059
holidaymaker	0.103564
"policy maker"	0.103423
"university student"	0.103056
"civic leader"	0.101167
job-seekers	0.100802
"foreign officials"	0.100453
scientist	0.0999125
"military officer"	0.0996112
educator	0.0994464
academic	0.0993384
"military personnel"	0.0977524
policy-makers	0.097683
professional	0.0976253
investor	0.0975378
decision-makers	0.096998
enterprise	0.0959544
compatriot	0.0956652
diplomat	0.0955697
traveller	0.0953954
"civil servant"	0.0947888
tourist	0.0947708
"financial organization"	0.0934828
technician	0.0934484
"labor leader"	0.0933163
"corporate executive"	0.0932342
clergymen	0.093207
participant	0.0930839
visitor	0.0929016
policymakers	0.0923782
"non-governmental organizations"	0.0922506
functionary	0.0922386
Honduran	0.0922228
delegate	0.0918388
expatriate	0.0918184
consortia	0.0915675
intellectual	0.0906898
calligrapher	0.0903808
trader	0.0892613
"Sri Lankans"	0.0889177
ethicists	0.0881174
criminologists	0.0880198
fencer	0.0878601
NGOs	0.087716
"medical specialist"	0.0868879
merchant	0.0867765
enlistee	0.0866987
shuttlers	0.0864369
citizen	0.0861083
transnationals	0.0854064
"Albanian Kosovars"	0.0851494
deserter	0.0847142
clergy	0.0845144
traveler	0.0839356
"college student"	0.0837621
"financial institution"	0.08369
craftsmen	0.0835478
"management expert"	0.0832164
vacationer	0.0829969
cadre	0.0829096
"insurance firm"	0.08222
centenarian	0.0818
"world leader"	0.0817884
"industrial enterprise"	0.0814799
"shipping company"	0.0810846
Singaporean	0.0809371
Iowan	0.0809348
"travel agency"	0.0809
Mozambican	0.0807717
"Iranian POWs"	0.0805389
registrant	0.0804219
"social group"	0.0802564
"Iraqi POWs"	0.0800581
practitioner	0.0799391
mainlanders	0.0798991
activist	0.0798639
"political leader"	0.079755
Taiwanese	0.0795914
schoolchildren	0.0795163
archeologist	0.0791787
postgraduate	0.0790599
"union worker"	0.0780619
VMs	0.0780312
Tibetans	0.077946
wellwisher	0.0777006
fire-fighter	0.0775908
migrant	0.0775744
laid-offs	0.0774847
Malaysian	0.0773751
Vietnamese	0.0773651
litigant	0.0772638
laborer	0.0770736
"army officer"	0.076985
"sales outlet"	0.0766636
"elected official"	0.0766367
servicemen	0.0766315
"management personnel"	0.0757041
Cypriot	0.0756436
"educational institution"	0.0755939
guest	0.0755501
congressmen	0.0755313
businessman	0.0755267
environmentalist	0.0755208
"union member"	0.0754025
worshiper	0.0753973
"publishing house"	0.0753667
illegals	0.0751869
personnel	0.07509
legislator	0.0749127
"venture capitalist"	0.0748544
"military attache"	0.0748065
foreigner	0.0747695
"market participant"	0.0745918
Beijingers	0.0744185
observer	0.0744087
trainee	0.0743762
firefighters	0.0741569
developer	0.0734848
"trade union"	0.073291
"public servant"	0.0730825
economist	0.0730175
philanthropist	0.0729988
Angolan	0.0727474
"medical institution"	0.0726289
landowner	0.0725164
"commercial enterprise"	0.0724096
exporter	0.0723937
"military man"	0.072233
Alumni	0.0722179
"President Lee Teng-hui"	0.0722071
returnees	0.0721172
"interest group"	0.0720378
manufacturer	0.0720092
policemen	0.071823
"currency trader"	0.0717791
worshipper	0.0717027
adoptees	0.071541
corporation	0.0712284
Fishermen	0.0711785
Jordanian	0.0709031
urbanites	0.0707453
"work unit"	0.0705674
well-wisher	0.0703926
"air force officer"	0.0700931
reveler	0.0700496
"travel agent"	0.0699663
depositor	0.0696363
"staff member"	0.0696147
sportsmen	0.0694633
researcher	0.0693378
hotelier	0.0691919
specialist	0.0690857
"social scientist"	0.0690419
jurist	0.0688407
Atlantans	0.0686539
townspeople	0.0686505
"small farmer"	0.0686301
steelworker	0.068629
whistle-blowers	0.068564
"insurance agent"	0.0683265
Ethiopian	0.0681643
reservist	0.0681353
mountaineer	0.0681017
deportee	0.0680662
medium-sized	0.0676125
commuter	0.0673828
"temporary worker"	0.0673154
onlooker	0.0671913
"real estate developer"	0.067143
Kuwaiti	0.066991
retiree	0.0669352
villager	0.0669207
artisan	0.0668256
))
(businesswoman (desc 6209.14) (sims
businessman	0.128274
businesswomen	0.0954847
housewife	0.0940453
schoolteacher	0.0916222
restaurateur	0.0915035
"literary agent"	0.0899786
"police sergeant"	0.089814
"school teacher"	0.0898078
divorcee	0.0886498
psychotherapist	0.0879131
"interior designer"	0.0868135
stockbroker	0.0853319
"real estate developer"	0.084497
"registered nurse"	0.0833559
pediatrician	0.0813462
"plastic surgeon"	0.0810343
homemaker	0.0809961
"real estate broker"	0.079716
"fashion designer"	0.0796017
socialite	0.0794186
"management consultant"	0.0789843
"social worker"	0.0783871
philanthropist	0.0773715
entrepreneur	0.0751922
stewardess	0.0750993
psychoanalyst	0.0718874
clergyman	0.0700952
surgeon	0.0700591
"film producer"	0.0693283
beautician	0.0690216
matron	0.0688545
"hard worker"	0.0687755
"law student"	0.068774
"art dealer"	0.0685544
Litigator	0.0682984
"business executive"	0.0677658
"real estate agent"	0.0677594
waitress	0.067028
linguist	0.0669729
"black person"	0.0668863
Pol	0.0654557
violinist	0.0652765
fisherman	0.065276
transsexual	0.0651619
tactician	0.0651598
"political dissident"	0.0645104
"school principal"	0.0641321
saleswoman	0.0640904
"medical student"	0.0635278
tomboy	0.063518
congresswoman	0.0632478
"venture capitalist"	0.0632015
"good person"	0.0629078
"labor leader"	0.0628383
feminist	0.0627887
policeman	0.0627566
"English teacher"	0.0627367
"police captain"	0.062456
"young actress"	0.0624471
schoolgirl	0.0622165
tycoon	0.0621344
banker	0.0620001
Councilman	0.0619674
dentist	0.0614351
ex-girlfriend	0.0613686
"music teacher"	0.0612486
"police lieutenant"	0.0608397
"married woman"	0.0607808
cabdriver	0.0606341
radiologist	0.0605888
"art historian"	0.0604844
illustrator	0.0603021
policewoman	0.0602261
cabby	0.0599843
jurist	0.0597829
educator	0.0596442
horseman	0.0595823
"government officials"	0.0592014
"security consultant"	0.0585493
newspaperman	0.0585199
psychologist	0.0582319
"aerospace engineer"	0.0579965
Industrialist	0.0577631
accountant	0.0577581
financier	0.0575782
hairdresser	0.0575397
"plantation owner"	0.0574642
ophthalmologist	0.0569936
"house painter"	0.0569153
obstetrician	0.0569141
fireman	0.0568992
"sports fan"	0.0567395
stepdaughter	0.0566641
detective	0.0565312
assemblyman	0.0564136
landscaper	0.0563994
"factory worker"	0.0563094
"newspaper editor"	0.0561889
Imam	0.0560125
"management expert"	0.0559997
mogul	0.0559956
urbanites	0.0559306
"trial attorney"	0.0558461
Northerner	0.0558459
"newspaper publisher"	0.0557992
"insurance agent"	0.0557169
"social scientist"	0.0557076
librarian	0.055703
pastor	0.0556318
actress	0.055613
poet	0.0555582
"civic leader"	0.0553693
statesman	0.0553211
"black woman"	0.0553112
nun	0.0552424
hotelier	0.0551314
businesspeople	0.0550292
"public speaker"	0.0549561
"business leader"	0.0548908
Postmaster	0.0548671
councilwoman	0.0548376
optometrist	0.0548244
firefighter	0.0548123
"physical therapist"	0.0547506
skydiver	0.0545124
"investment adviser"	0.0544515
Atlantan	0.0544059
acrobat	0.0539693
"guitar player"	0.0539515
"black man"	0.0536922
heiress	0.05362
"police detective"	0.053532
charmer	0.0535148
hostess	0.0534884
Lundy	0.0533926
eighth-grader	0.0532988
sociologist	0.0532889
"mountain climber"	0.0531031
electrician	0.0530507
"second person"	0.0530357
"au pair"	0.0529748
preacher	0.0529547
lass	0.0529423
filmmaker	0.0529267
"TV reporter"	0.0528134
"investment banker"	0.0527493
geologist	0.0527253
housekeeper	0.0526806
internationalist	0.0525933
"school girl"	0.0525842
mathematician	0.0525692
"school superintendent"	0.0525171
newsman	0.0524589
"young lady"	0.0524508
painter	0.0524134
"civil engineer"	0.0523364
evangelist	0.0522571
thinker	0.0522316
stuntman	0.0522138
guardsmen	0.0522119
"ballet dancer"	0.052207
Bostonian	0.0520717
dietitian	0.0520324
priest	0.0520028
"young girl"	0.0519989
"con artist"	0.0519387
"folk singer"	0.0518325
"math teacher"	0.0516431
"guardian angel"	0.0515996
songwriter	0.051576
bookkeeper	0.0515547
neurotic	0.0515427
Hofer	0.0515173
magnate	0.0511479
"state senator"	0.0511439
salesman	0.0511332
dealmaker	0.0510747
"army officer"	0.0510734
"press agent"	0.0510357
alderman	0.0510002
manicurist	0.0509974
shopkeeper	0.0509803
Gastroenterologist	0.050877
dermatologist	0.0507295
"eye doctor"	0.0504721
"television reporter"	0.0504658
marketer	0.0502521
psychiatrist	0.0501162
"naval officer"	0.0501014
widow	0.0500227
clarinetist	0.0500131
translator	0.049902
carpetbagger	0.0498876
policemen	0.0498424
"electrical engineer"	0.0498153
"foster parent"	0.0497223
photographer	0.0496886
Parisian	0.0496545
"college student"	0.0496436
therapist	0.0495914
))
(businesswomen (desc 1198.26) (sims
rebounders	0.107298
businesswoman	0.0954847
closers	0.0952741
Litigator	0.0936724
"business executive"	0.0930008
"New York Republicans"	0.0924257
vote-getters	0.090723
"business leader"	0.0855819
shipbuilder	0.085264
QBs	0.0838965
"bank failure"	0.0833143
"particle accelerator"	0.0830329
Bostonians	0.0826643
"steel company"	0.0814575
Industrialist	0.0785478
statesmen	0.076329
"home builder"	0.0761764
"Texas Democrats"	0.0743989
"defense contractor"	0.0742529
multimillionaires	0.0738505
enterpreneurs	0.0735922
"feminist movement"	0.0729356
vaulter	0.072589
clergymen	0.071516
"life insurer"	0.0712925
distiller	0.0711988
carmakers	0.0703008
"newspaper publisher"	0.0700733
serviceman	0.0700365
"chess player"	0.0683601
"trial attorney"	0.068249
"Young Turk"	0.0681896
parachutist	0.06778
"intelligence operation"	0.0676357
"pass catcher"	0.0670967
"military attache"	0.066575
Atlantans	0.066307
homebuyers	0.0658755
experimenter	0.0657206
playmakers	0.0656034
grandmaster	0.065504
achiever	0.0654339
sommelier	0.0653674
"political detainee"	0.0651088
acquirer	0.0642573
"New York Democrats"	0.0639182
goal-scorer	0.0638626
"semiconductor maker"	0.0638576
"Special Economic Zones"	0.0637489
"naval officer"	0.0633989
"trial lawyer"	0.063334
"foreign service officer"	0.0628316
ex-convicts	0.0625799
signees	0.0623823
"church member"	0.0623121
centenarian	0.0621932
cager	0.061905
"American Jews"	0.0617538
returners	0.0616555
wideouts	0.061591
"gold miner"	0.0613593
winemaker	0.0612612
multinationals	0.061034
miler	0.0609784
"decision maker"	0.0603506
"quarter horse"	0.0602555
botanist	0.0598625
snowboarder	0.0597849
"newspaper editor"	0.0597437
seminarian	0.0595645
"Internet Service Providers"	0.0595637
"Protestant denomination"	0.0592078
"beer drinker"	0.059161
quarterfinalists	0.059141
decision-makers	0.0591124
psychoanalyst	0.0589821
Englishmen	0.058882
gymnast	0.0583007
"literary agent"	0.058229
issuers	0.0581287
"business school"	0.0581148
"funeral director"	0.0581049
"news event"	0.0578849
businesspeople	0.0578507
restaurateur	0.0578405
tacklers	0.0577493
Chinese-Americans	0.0576559
geologist	0.0576288
"race horse"	0.0575602
Polgar	0.0575453
criminologists	0.0574473
policymakers	0.0574236
bullfighter	0.0572232
"plastic surgeon"	0.0568088
unionism	0.0567807
"corporate executive"	0.056709
"car dealer"	0.0565994
"U.N. Interim Force in Lebanon"	0.0565797
"policy maker"	0.0565277
capitalist	0.0564766
stockbroker	0.0563021
oligarch	0.0561317
Christmases	0.0560907
"television star"	0.0557496
Irishmen	0.0556706
infantrymen	0.0555615
"aerospace giant"	0.0553506
pallbearer	0.0553348
"naval forces"	0.0551465
Chinese-Indonesians	0.05513
"cable operator"	0.0549465
Kansan	0.0548711
thoroughbred	0.0548633
"air force officer"	0.054862
oilmen	0.0548618
paddler	0.0548504
shipmate	0.0548496
"futures exchange"	0.0547734
midshipmen	0.054728
salesmen	0.054608
"heart surgeon"	0.0544851
busiest	0.0543092
"three schools"	0.054276
literati	0.0542684
hemophiliac	0.0542384
"medical specialist"	0.05419
dermatologist	0.0537902
oncologist	0.053629
transnationals	0.0536104
"non-governmental organizations"	0.0535835
Gibbon	0.0535064
airmen	0.0533598
goaltenders	0.0533018
barrister	0.0532019
stallion	0.053196
"diplomatic corps"	0.053131
"Prime Minister Kamal El-Ganzouri"	0.0530735
DRI	0.0530656
"labor leader"	0.0527892
collegian	0.0525881
"wage earner"	0.0525808
lifter	0.0524637
"three pitchers"	0.0524451
submariner	0.0523502
Klansmen	0.0523492
"weather satellite"	0.0523228
"Tatiana Panova"	0.0522565
"two pitchers"	0.0522122
smelters	0.0521808
seamstress	0.0521683
kindergartners	0.0521559
richest	0.0521394
billionaires	0.0520143
rappers	0.0519793
sixth-graders	0.0518902
Pol	0.0517357
"talent scout"	0.0517214
Jesuit	0.0516522
EPZs	0.0513941
stagehand	0.0513399
"venture capitalist"	0.0513381
Honduran	0.0513054
"auto manufacturer"	0.0511453
"computer giant"	0.0511109
SMIs	0.0510232
aviator	0.0507474
"real estate developer"	0.0506346
breeder	0.050571
SMEs	0.0505298
"leading lady"	0.0504651
rushers	0.050445
steelworker	0.0504184
"ballet company"	0.0503972
"medical institution"	0.0503956
"maritime law"	0.0503085
seamen	0.0502725
endorser	0.0502663
cosmologist	0.0501497
Gastroenterologist	0.0501244
"Bosnian Croats"	0.0500912
"economic expert"	0.0499915
"financial organization"	0.0499773
"ball club"	0.0499549
weightlifter	0.0499415
"minority shareholder"	0.0499192
co-owners	0.0499182
launderers	0.0499158
hotspots	0.0497672
concertgoers	0.0497179
sportsmen	0.0496681
"government officials"	0.0496402
co-leaders	0.04964
nobleman	0.0495974
worshiper	0.0495781
Londoner	0.0494431
aldermen	0.0494288
"hockey player"	0.0493349
"girl scout"	0.0492764
"business interest"	0.0492741
animators	0.0492045
))
(busload (desc 6764.64) (sims
carload	0.159012
planeloads	0.138317
planeload	0.133406
truckload	0.127179
trainload	0.120556
throng	0.110917
horde	0.103472
boatload	0.0924002
roomful	0.0888419
"moving van"	0.0861499
gaggle	0.0851639
Phalanx	0.0844981
"large number"	0.0837509
"fire truck"	0.0824454
legion	0.0811102
"hundred thousand"	0.0807845
convoy	0.0789265
Humvees	0.0782193
"Ninety-five percent"	0.0738152
"police car"	0.0682187
platoon	0.0669365
"military vehicle"	0.0668537
"city block"	0.0666226
tenths	0.0658556
swarm	0.0656789
knot	0.0652295
"fire engine"	0.0640824
mourner	0.0637509
contingent	0.0631715
mistreatment	0.06267
protestor	0.0625835
motorcade	0.062292
jeep	0.0616703
"Ninety-nine percent"	0.0615494
"personnel carrier"	0.0614163
"Final Fours"	0.0602817
"Albanian Kosovars"	0.0592427
"More than three-quarters"	0.0591348
maltreatment	0.0590108
"Kosovo Serbs"	0.0588193
B-@s	0.0586917
trickle	0.0585251
passersby	0.0582878
mob	0.0576524
wounding	0.0571407
"core group"	0.0571043
batch	0.0568163
"dead body"	0.0567674
bogy	0.056665
smattering	0.0564311
passers-by	0.0564057
great-grandchildren	0.056317
cortege	0.056229
"Forty percent"	0.0559958
battalion	0.0557384
jeer	0.055636
marcher	0.0554185
firemen	0.0553701
"family member"	0.0552105
caravan	0.0549993
"Ryder Cups"	0.0549658
"Nearly three-quarters"	0.0546797
no-decisions	0.0546125
Buss	0.0540147
influx	0.0532873
shipload	0.0531686
pilgrim	0.0528416
"school bus"	0.0527745
Ambulance	0.0526801
subgroup	0.0525408
"day of rest"	0.052418
Dutchmen	0.0518102
"dump truck"	0.0517719
cadre	0.051759
cohort	0.0512287
"extended family"	0.0508787
upperclassmen	0.0506622
gantlet	0.0504721
Klansmen	0.0504013
holidaymaker	0.0503119
drove	0.0500612
worshiper	0.049849
posse	0.0497611
semitrailer	0.0496208
entourage	0.0495903
"Hong Kong Federation"	0.0494111
"No. @s"	0.0492918
well-wisher	0.0490575
deportee	0.0490551
"Forty-five percent"	0.0489822
expulsion	0.0489307
motorcyclists	0.0488179
speller	0.0487818
A@@@s	0.0486482
Wrath	0.0485511
seasons.	0.0484012
half-dozen	0.0483349
tacklers	0.0481783
neo-Nazis	0.0480364
cameramen	0.0480229
abduction	0.047966
crewmembers	0.0474171
picketers	0.0473341
minibuses	0.0470318
Chevys	0.0468691
"Pro Bowls"	0.046625
detachment	0.0466092
"Twenty-five percent"	0.0465454
firefighters	0.0465193
"word of advice"	0.0464158
"break of serve"	0.0462856
worshipper	0.0462797
"about three-fourths"	0.0461741
slaying	0.046167
"More than one-third"	0.0461518
"British Opens"	0.0460815
fifths	0.0460763
"Eighty percent"	0.0460276
conventioneer	0.0459447
coterie	0.0458187
lorry	0.0457537
"American plane"	0.0457512
ire	0.0454149
Ghanaians	0.0454055
"All-Star Games"	0.0453569
"railroad car"	0.0450284
"freight train"	0.0450124
demonstrator	0.0450098
"container ship"	0.0449885
"residence hall"	0.0449667
flotilla	0.0448855
Lebanese	0.04474
hundredth	0.0447184
"fire fighter"	0.0446905
vacationer	0.0444114
Copt	0.0443161
townsfolk	0.0442157
exodus	0.0442045
technicals	0.0441465
passel	0.0439853
sherpas	0.0439706
policemen	0.0438011
curveballs	0.0437941
postseasons	0.0436818
Picassos	0.0433743
urging	0.0433437
three-fourths	0.043246
procession	0.0431974
"space walk"	0.0431923
chagrin	0.0431645
"major-league team"	0.0430493
MiGs	0.04303
tanker	0.0429864
crewmates	0.0429748
"flight of stairs"	0.042826
tugboat	0.0427812
"Fifteen percent"	0.0426466
"Almost three-quarters"	0.0424468
mini-buses	0.0424204
"nearly one-third"	0.0423958
"U.S. Opens"	0.042365
"service break"	0.0423118
"North Koreans"	0.0422801
"mug shot"	0.0422232
earshot	0.0420944
"honor guard"	0.0420914
"city bus"	0.0420396
guardsmen	0.0419204
major-leaguers	0.0419093
"Israeli Arabs"	0.041868
"About @,@@@"	0.0418572
multitude	0.0417661
"wedding party"	0.0417267
"speeding ticket"	0.0416898
spacewalks	0.0416714
"work group"	0.0416175
reinforcement	0.0414933
eviction	0.0414233
firsts	0.0413913
bulldozer	0.0413831
"Kosovar Albanians"	0.0412408
"More than two-thirds"	0.0411952
creativeness	0.0411125
warship	0.0410674
"curtain call"	0.0410166
grandchildren	0.0409626
baserunners	0.0409574
starts.	0.040902
sentencing	0.0408902
Opens	0.0407279
"North Africans"	0.0406288
evacuation	0.0406253
"express train"	0.0405669
"church member"	0.0405135
internationals	0.0404763
"police boat"	0.0403474
"Pulitzer Prizes"	0.0403299
onlooker	0.0402974
"Ninety percent"	0.04018
faceoffs	0.0401594
))
(Buss (desc 1693.32) (sims
minibuses	0.158669
mini-buses	0.135627
"bus company"	0.0885218
Humvees	0.0840901
mini-vans	0.0807856
minibus	0.0775643
semitrailer	0.072942
excavator	0.0696157
Streetcar	0.0670276
RVs	0.0650928
"fire engine"	0.0641683
"police car"	0.0640289
"commuter train"	0.0636054
"freight car"	0.0628975
jeep	0.0627375
mini-van	0.061124
Chevys	0.0610668
rickshaw	0.0601689
"military vehicle"	0.0601585
"passenger car"	0.059752
SUVs	0.059718
"moving van"	0.0595903
tractor-trailers	0.0595228
minivans	0.0595136
"bus driver"	0.0583795
"personnel carrier"	0.0574138
Liggett	0.0573098
TYCO	0.0571417
passersby	0.0569313
"railway car"	0.0564918
lorry	0.0561741
sport-utility	0.0554584
"National Grid"	0.0549762
"printing press"	0.0547706
"school bus"	0.0547675
Taubman	0.0542371
busload	0.0540147
"Kenyan shilling"	0.0537003
"bus route"	0.053643
"telephone booth"	0.0535943
forklifts	0.0534141
"pleasure boat"	0.0533658
snowplow	0.0533247
smooch	0.0529279
DoCoMo	0.052683
boxcar	0.052513
"army tank"	0.0516876
Dutchmen	0.0515848
"warning light"	0.0513813
"Thai Airways"	0.0507822
Nivel	0.0506743
Kansan	0.0503571
bulldozer	0.0497072
motorbike	0.0494558
"dump truck"	0.0486313
"passenger train"	0.0485592
Tram	0.048276
"passenger ship"	0.0477918
"subway train"	0.0476335
passers-by	0.047432
"shuttle bus"	0.047136
"police van"	0.0470566
Hendry	0.0468443
"market watcher"	0.0465343
Laudor	0.0464821
Newhouse	0.0464203
SFX	0.0463218
"railroad car"	0.0462605
"patrol car"	0.0461874
"Frank Bruno"	0.0461708
"patrol ship"	0.0459389
Railtrack	0.045871
Buggy	0.0457246
Fabius	0.0457209
MP@s	0.0455695
"transit authority"	0.0452509
aldermen	0.0452361
"cable car"	0.0452168
"Prime Ministers"	0.0450597
"petrol bomb"	0.0450511
"squad car"	0.0450141
A@@@s	0.044848
"parcel of land"	0.0448245
"garbage truck"	0.0446772
cellblock	0.0445912
Cablevision	0.044589
"Red Auerbach"	0.0444712
Limo	0.0443667
midget	0.0443024
"True North"	0.0439377
Bhattarai	0.0438293
"Kenyan Government"	0.0437954
guardsmen	0.0436862
ferryboat	0.043625
Haughey	0.0432957
hauler	0.0432629
"motor scooter"	0.0431492
"city bus"	0.0429318
Scripps	0.0428521
planeloads	0.0425771
trolley	0.0425417
bogy	0.0424988
Tharp	0.0423943
"railroad line"	0.0422402
Meriwether	0.0422371
"freight train"	0.0421113
Scania	0.0419073
B-@s	0.0416643
"compact car"	0.0415007
"Congressional Republicans"	0.041465
"surface ship"	0.0413409
crewmates	0.0412876
ex-convicts	0.0412825
"Prudential Insurance Co."	0.0412291
Aegon	0.0411212
"fire truck"	0.0410497
median	0.0409812
"Boston Scientific"	0.040586
Kimbell	0.0403495
"a few million dollars"	0.0401205
"word of advice"	0.0400642
))
(bust (desc 28426.7) (sims
statue	0.107309
sculpture	0.082761
portrait	0.0798556
plaque	0.0645692
flop	0.0639388
mural	0.059186
likeness	0.0588293
monument	0.0583413
painting	0.056559
boom	0.0556372
vase	0.0543655
figurine	0.0534554
seizure	0.0533377
replica	0.0526215
"oil painting"	0.0525779
picture	0.0515974
urn	0.0496669
debacle	0.0492748
statuette	0.0490952
disappointment	0.0477171
dud	0.047275
bonanza	0.0471117
fountain	0.0468748
poster	0.04574
scandal	0.0456928
letdown	0.045205
underachiever	0.0451876
disaster	0.0450935
photograph	0.0449948
biography	0.0449814
fresco	0.0444207
fiasco	0.044148
carving	0.0441006
fluke	0.0439438
doll	0.0439141
failure	0.0438653
facade	0.0437898
effigy	0.0437168
headstone	0.0437151
embarrassment	0.043697
bubble	0.0426036
sarcophagus	0.0424797
masterpiece	0.0423855
drawing	0.0421464
icon	0.0418572
tapestry	0.0418056
sketch	0.0415185
marker	0.0411984
artwork	0.041038
gaffe	0.0409192
inscription	0.0401135
tragedy	0.0400295
))
("Busta Rhymes" (desc 2304.43) (sims
Jay-Z	0.253822
DMX	0.184184
"Foxy Brown"	0.173925
Dre	0.145801
"Snoop Dogg"	0.141627
"Tupac Shakur"	0.140673
"Puff Daddy"	0.119967
Eminem	0.114242
"Kid Rock"	0.113115
"Mary J. Blige"	0.101405
"Dave Matthews Band"	0.0997331
"Wyclef Jean"	0.093072
"Sheryl Crow"	0.0860237
"Queen Latifah"	0.0843972
Redman	0.0840701
Coolio	0.0824264
"Public Enemy"	0.0807314
"Red Hot Chili Peppers"	0.0788211
"Mariah Carey"	0.0782849
NA	0.0781465
"Will Smith"	0.0772241
"Britney Spears"	0.0771807
"Whitney Houston"	0.0753752
"Limp Bizkit"	0.0695691
"Rod Stewart"	0.0636103
Bono	0.0631606
"Toni Braxton"	0.0620729
"Beastie Boys"	0.0618995
D'Angelo	0.0603155
"Erykah Badu"	0.0589293
"Natalie Cole"	0.0583773
"ice cube"	0.0582123
McLachlan	0.058109
"Shania Twain"	0.056078
"Elvis Costello"	0.0559783
"Lauryn Hill"	0.0533412
"Mandy Patinkin"	0.053251
Metallica	0.0527163
"Alanis Morissette"	0.0514745
"Sarah McLachlan"	0.0510171
"Boyz II Men"	0.047799
"Andy Williams"	0.0454117
U@	0.0453441
"Alice Cooper"	0.0446007
Missy	0.0445166
"LeAnn Rimes"	0.0440371
J	0.0435118
"Bonnie Raitt"	0.0433624
"George Michael"	0.0419422
"Haley Joel Osment"	0.0411815
Combs	0.0408691
))
(Bustamante (desc 616.74) (sims
Lockyer	0.167628
Valenti	0.159808
Carollo	0.156978
Wenger	0.155254
Kessler	0.14695
Molinari	0.146484
LaPierre	0.142918
Sheehan	0.142197
Beilin	0.14048
ISSEL	0.138761
Ruehe	0.137524
Diouf	0.132954
McKenna	0.13047
Kauffman	0.13045
Advani	0.128931
Wolfson	0.12838
Moonves	0.128294
Manley	0.127068
Echols	0.126779
Hybl	0.126384
Schuerholz	0.126231
McCurry	0.125797
Zucker	0.125502
Kornberg	0.125485
Singson	0.122842
Fleischer	0.122164
Reimer	0.121691
Verney	0.121148
Brownback	0.119656
Polian	0.11938
Rudenstine	0.118706
Meissner	0.118588
Goldin	0.117468
Finkel	0.117373
Satcher	0.117318
Joklik	0.117239
Hayworth	0.117105
Engelberg	0.116854
Safir	0.116611
Grasso	0.116473
Difrancesco	0.115555
Bakaly	0.11539
Leavitt	0.115305
Cooley	0.11469
Zadornov	0.114583
Siazon	0.114268
Piot	0.113966
Skiles	0.113862
Gullikson	0.11338
Bratton	0.113243
Burleigh	0.112952
Patel	0.112883
Sheng	0.112821
Caddell	0.112731
Lehane	0.11205
Waxman	0.111286
Eubanks	0.11127
Beckwith	0.110977
Conroy	0.110902
Khalil	0.110586
Bergeron	0.110226
Velayati	0.109551
Zhirinovsky	0.109465
Devine	0.109418
Rossotti	0.109361
Aliotti	0.109328
Babcock	0.10909
Liao	0.109082
Samuelson	0.108478
Eizenstat	0.106443
Rong	0.106406
Auriemma	0.105718
Ogata	0.105124
Goossen	0.105068
Zambrano	0.104814
Maldini	0.104525
Rubenstein	0.104018
Boles	0.103895
Felton	0.103893
Majko	0.103692
Ikeda	0.103341
DeFrantz	0.102873
Kyprianou	0.102762
"La Russa"	0.10239
Hodler	0.102079
Scharping	0.101927
Kasoulides	0.101508
Cremins	0.101425
Azad	0.101335
Spano	0.101283
Vollebaek	0.100918
Kearin	0.100683
Summitt	0.100381
Braswell	0.099985
Insulza	0.0996457
Bettman	0.0993964
Hiddink	0.0993962
Blatter	0.0990792
Clements	0.0990579
Alarcon	0.0982638
Allard	0.0979811
Rothenberg	0.0979762
Tarrin	0.097654
Hauser	0.0974216
Maslyukov	0.0972822
Neff	0.0972096
Verniero	0.0969773
Bellamy	0.0967851
Juncker	0.0966309
Okada	0.096626
Shevardnadze	0.0963927
Copeland	0.0960285
Cui	0.0959113
Engler	0.0956087
Butterworth	0.0955535
Guthridge	0.0952303
McKinnon	0.0951858
Kirkpatrick	0.0951794
Ruggiero	0.0948075
LANIER	0.0947945
Aventajado	0.0947043
Hynes	0.0945496
Heinrichs	0.0942719
Flanagan	0.0941083
Markey	0.093963
Bavasi	0.0938904
Zeroual	0.0934598
"administration official"	0.093266
Morgenthau	0.0932319
Beazley	0.0932166
Arbour	0.092869
Ainge	0.0927366
Redstone	0.0926806
Sato	0.0925823
Milbury	0.0925761
Marinovich	0.0925197
Gosper	0.0924166
Constantinescu	0.0921097
Ratliff	0.0918431
Rylander	0.0918245
Weldon	0.091638
Linder	0.091585
Haskins	0.0914502
Barshefsky	0.0914203
Bolger	0.0913041
Fuentes	0.0908846
Stoneman	0.0908011
Bidwill	0.0907
Wagoner	0.0904074
Pelosi	0.0903442
Whitsitt	0.0898737
Slocum	0.0898559
"defense lawyers"	0.0898189
Dunleavy	0.0897063
beamer	0.0895905
Soyinka	0.0893784
Lindland	0.0891764
Hunsicker	0.0888498
Rove	0.0883949
Baugh	0.0883816
Mello	0.0883113
Kerrey	0.0882903
Troussier	0.0882152
Antley	0.0881993
Rosales	0.0881828
Thayer	0.0881428
Azizah	0.0878203
Koh	0.0877813
Darnell	0.0876118
Abdel-Meguid	0.0875852
Quackenbush	0.0874842
Doggett	0.0873114
Geiger	0.0872941
Passarella	0.0872313
Hamlin	0.0871603
Kolbe	0.0869688
Hyman	0.0868549
Mercado	0.0868396
Mullinax	0.0867948
Moynihan	0.0867431
Lowry	0.0865487
Condit	0.0864999
Cleary	0.086134
Lockhart	0.0860265
Sherrill	0.0859833
Jayakumar	0.0856841
Jauron	0.0855648
hodgson	0.0854528
Contreras	0.0854074
SHUSTER	0.0852613
Ratner	0.0852557
Murkowski	0.0852445
Inhofe	0.0852285
Cornyn	0.0851788
Gillick	0.0850235
Arens	0.0850016
Kennelly	0.0848791
Kurtz	0.0848633
Engel	0.0847165
Babbitt	0.0846819
))
(Buster (desc 7213.64) (sims
provocateurs	0.0464449
J.J	0.0463875
TORTURER	0.0454402
wrongdoer	0.0441763
grabber	0.043734
soulmate	0.0410234
part-timer	0.0402489
thunderbolt	0.0401172
))
("Buster Douglas" (desc 1018.28) (sims
"Frank Bruno"	0.322961
"Oliver McCall"	0.316821
"Julius Francis"	0.299983
"Michael Moorer"	0.240903
"Riddick Bowe"	0.233452
"Kostya Tszyu"	0.221054
"George Foreman"	0.210839
"Larry Holmes"	0.209856
"Pernell Whitaker"	0.199059
"Jean-Philippe Gatien"	0.192026
Moorer	0.191401
"Rocky Marciano"	0.187788
"Paul Tergat"	0.17164
"Rodney Eyles"	0.171485
"Felix Savon"	0.171276
"Johnny Tapia"	0.169187
"Lennox Lewis"	0.16543
"Jansher Khan"	0.16461
"Garry Kasparov"	0.164048
"Johan Museeuw"	0.163662
"Roy Jones Jr."	0.161748
"Samantha Riley"	0.161586
"Deon Hemmings"	0.160545
"Julio Cesar Chavez"	0.155757
"Todd Eldredge"	0.154718
"Joe Frazier"	0.153035
Campas	0.150764
"Paulie Ayala"	0.150682
"Anatoly Karpov"	0.149467
"Francois Botha"	0.149052
"Mike Tyson"	0.147268
"Peter Rasmussen"	0.146334
"Jorgen Persson"	0.146012
"Sonny Liston"	0.145664
Susanti	0.14559
"Evander Holyfield"	0.144341
"Chen Lu"	0.143743
"Max Biaggi"	0.140717
"Maria Mutola"	0.140607
"Allen Johnson"	0.139677
"Shannon Briggs"	0.139651
"Muhammad Ali"	0.139056
"Wang Yifu"	0.137296
"Sergi Bruguera"	0.136573
"American Pete Sampras"	0.136378
"Elena Berezhnaya"	0.136197
"Ivan Pedroso"	0.134919
"Michael Grant"	0.133771
"Ye Zhaoying"	0.132422
"Alexei Yagudin"	0.12912
"Kong Linghui"	0.129094
"Maria Butyrskaya"	0.128908
"Li Jiajun"	0.128077
"David Reid"	0.127421
"Elvis Stojko"	0.12658
"Axel Schulz"	0.126306
"Joko Suprianto"	0.125816
"Jacques Villeneuve"	0.125475
"Joe Louis"	0.124143
"Svetlana Khorkina"	0.123316
"Denis Pankratov"	0.122362
"Damon Hill"	0.122059
"Moses Tanui"	0.121872
"Michael Von Gruenigen"	0.121268
Karpov	0.121252
"Oba Carr"	0.120348
"Ge Fei"	0.119287
"Derrick Adkins"	0.117957
"Marc Rosset"	0.117828
"Eddie Cheever"	0.117384
"Oscar De La Hoya"	0.117002
"Grant Hackett"	0.1169
"Michael Stich"	0.116483
kayaker	0.116248
Bruguera	0.116126
"Jan-Ove Waldner"	0.115936
"Wang Junxia"	0.11591
"Alex Zanardi"	0.115716
Hearns	0.115281
"Michael Doohan"	0.1152
"C.J Hunter"	0.115037
"Claudia Poll"	0.114736
"Alexei Nemov"	0.113873
"Dong Jiong"	0.113529
Hoya	0.113504
"Fiona May"	0.11348
"Colin McRae"	0.113477
"Ivan Ivankov"	0.113231
"Linford Christie"	0.113227
"Shanghai Shenhua"	0.112834
"Laurent Brochard"	0.112806
"Irina Slutskaya"	0.11192
"American Chanda Rubin"	0.1113
"Miguel Indurain"	0.111023
"Heryanto Arbi"	0.110774
"Martin Schmitt"	0.110761
"Jubilo Iwata"	0.11045
"Erik Morales"	0.110122
"Thomas Muster"	0.109896
"Michael Chang"	0.10957
"Camilla Martin"	0.108859
Palmeiras	0.108516
"Shane Mosley"	0.107877
"Susi Susanti"	0.107413
"Jennifer Capriati"	0.107098
"Michael Schumacher"	0.106073
"Le Jingyi"	0.106013
"Irina Privalova"	0.105238
"Stefan Edberg"	0.10521
Devers	0.10498
"Arantxa Sanchez Vicario"	0.104374
"Alexander Popov"	0.104264
"Christine Arron"	0.103897
"John Godina"	0.103789
"Li Xuemei"	0.103511
"Boris Becker"	0.103325
"Petr Korda"	0.103295
"Arantxa Sanchez-Vicario"	0.102895
"Deborah Compagnoni"	0.102858
"Favorite Trick"	0.102156
"Liu Guoliang"	0.10208
"Isolde Kostner"	0.10194
"Anjelika Krylova"	0.101562
"Michael Klim"	0.100827
"Peter Gade Christensen"	0.10024
"Cathy Freeman"	0.100172
"Felix Trinidad"	0.0998132
"Fatuma Roba"	0.0998076
"American Lindsay Davenport"	0.0997898
"Carlos Sainz"	0.0997541
"Blaine Wilson"	0.099558
"Andres Gomez"	0.0994683
"Susie O'Neill"	0.0993785
"Peter Nicol"	0.0993681
"Sonia O'Sullivan"	0.0993679
"Bjorn Borg"	0.0991841
Edberg	0.0991723
Takanohana	0.098973
"Simona Amanar"	0.0988101
"Chicago Fire"	0.0987697
"Noureddine Morceli"	0.0987194
Shuwei	0.0986913
"Oksana Kazakova"	0.0984075
"Candra Wijaya"	0.0983445
"Gustavo Kuerten"	0.0980651
"Daniel Komen"	0.097876
"Yevgeny Kafelnikov"	0.0972488
"Michael Weiss"	0.097115
"Steffi Graf"	0.0971029
"Ong Ewe Hock"	0.0970778
"Zoran Primorac"	0.0967904
"American Todd Martin"	0.0964608
"Brooke Bennett"	0.0963614
"Iva Majoli"	0.0962786
"Liu Yong"	0.0961746
"Ike Quartey"	0.0960466
"River Plate"	0.0960261
Longo	0.0959352
"Tommi Makinen"	0.0959046
"Paul Lawrie"	0.0957745
"Jeff King"	0.0956939
"Alberto Tomba"	0.0956074
"Stacy Dragila"	0.0955451
"Carlos Moya"	0.0950787
Stoltenberg	0.0949129
"Svetlana Masterkova"	0.0947943
"Wang Liqin"	0.0946544
"Conchita Martinez"	0.094572
"Tian Liang"	0.0945375
"Arnaud Di Pasquale"	0.0945014
Musashimaru	0.0943507
"Guo Jingjing"	0.0942521
"MIka Hakkinen"	0.0942384
"Kieren Perkins"	0.0942086
"Thomas Stangassinger"	0.0940056
"Abraham Olano"	0.0938511
"Liu Xuan"	0.0935466
"Jana Novotna"	0.0933495
"Russian Yevgeny Kafelnikov"	0.0932684
"Billie Jean King"	0.0931104
Marciano	0.0927726
Kasparov	0.0924956
"Felix Mantilla"	0.0923879
"Velez Sarsfield"	0.0921562
"Liu Limin"	0.092062
"Ivan Lendl"	0.0919837
"Chris Boardman"	0.0919679
"Marie-Jose Perec"	0.0919623
"Wang Nan"	0.0918002
"Michelle Kwan"	0.0915935
"Pat Rafter"	0.0915886
"Detroit Red Wings"	0.0913052
Takanonami	0.0911769
"Andrew Golota"	0.0911405
Tua	0.0909887
"Katja Seizinger"	0.0908185
"Vladimir Samsonov"	0.0905934
"Monica Seles"	0.0904995
Golota	0.0900593
Doohan	0.0898715
))
("Buster Keaton" (desc 1960.71) (sims
"Frank Capra"	0.202468
"Marx Brothers"	0.175053
"John Ford"	0.152227
"Ingmar Bergman"	0.134868
"Charlie Chaplin"	0.11684
"Mary Pickford"	0.112488
"Alfred Hitchcock"	0.102152
Keaton	0.0876029
"this @@@@"	0.0875162
"Jimmy Stewart"	0.0862799
"John Waters"	0.0856169
Coen	0.0777217
"Cary Grant"	0.0777135
"Orson Welles"	0.0743241
"Bruce Lee"	0.0741218
"Spencer Tracy"	0.0731968
"Will Rogers"	0.0722386
"Gene Kelly"	0.0720608
"John Wayne"	0.070283
Tigger	0.0689327
"James Dean"	0.068593
"Errol Flynn"	0.0685839
"Greta Garbo"	0.066116
"wide screen"	0.0643591
"Stanley Kubrick"	0.0641426
"Mae West"	0.0633434
late-'@@s	0.0633249
"Mike Nichols"	0.0628472
"Lethal Weapon"	0.0622152
"Marlon Brando"	0.0616273
"Clark Gable"	0.061529
"George Bernard Shaw"	0.0612562
Atkinson	0.0610894
"Kung Fu"	0.0604456
Beatles	0.0590608
"Eugene O'Neill"	0.0588727
"Jackie Chan"	0.0588483
Quay	0.058346
Truffaut	0.0579302
"Walt Disney"	0.0577643
Porno	0.0571975
Fellini	0.0571004
"Albert Brooks"	0.0567255
"W.C. Fields"	0.0566483
absurdist	0.0560172
slasher	0.054924
made-for-TV	0.054161
"Ava Gardner"	0.0541244
schlock	0.0538676
noir	0.0533986
special-effects	0.0527026
"Robert Altman"	0.0522114
IMAX	0.0521919
Kurosawa	0.0520524
Zapruder	0.0518125
Jude	0.0517138
"Arnold Schwarzenegger"	0.0515595
Altman	0.0514585
"Fred Astaire"	0.05041
lassie	0.0500856
Chaplin	0.0500294
"Eddie Murphy"	0.0496643
Hepburn	0.0496395
"Neil LaBute"	0.0493591
stooge	0.049072
anime	0.0488037
"William Randolph Hearst"	0.0487612
"Ron Howard"	0.0487407
"Woody Allen"	0.0485882
"Jane Austen"	0.0483512
"Oliver Stone"	0.0480984
"Sylvester Stallone"	0.0480213
"David Lynch"	0.0474068
Pinocchio	0.046919
"Spike Lee"	0.0465122
"Sammy Davis Jr."	0.0460954
Schwarzenegger	0.0460449
"Bugs Bunny"	0.045899
"Mel Brooks"	0.0458728
Rambo	0.045708
"Judy Garland"	0.0456693
"Steve McQueen"	0.0456469
"Clint Eastwood"	0.0455972
overlong	0.0452433
"Wes Craven"	0.0451227
"Jerry Bruckheimer"	0.044996
"Ernest Hemingway"	0.0449568
"Indiana Jones"	0.0448467
Frankenstein	0.0446119
"Burt Lancaster"	0.0445226
indie	0.0440634
Betsy	0.0439623
nine-hour	0.0438052
escapist	0.0437332
"Austin Powers"	0.0434906
"Burt Reynolds"	0.0432994
Garbo	0.0428936
"Bing Crosby"	0.0428134
Bergman	0.0426482
"Audrey Hepburn"	0.0422974
"Robin Williams"	0.0419583
"David Mamet"	0.0418577
"El Greco"	0.0417989
Lola	0.0416916
Germanic	0.0413512
"Jesse James"	0.0409814
"F. Scott Fitzgerald"	0.0409058
"Pedro Almodovar"	0.0407159
"Billie Holiday"	0.0406621
Must-See	0.0403368
"Martin Lawrence"	0.0401659
"Alicia Silverstone"	0.0401091
))
(bustier (desc 1551.92) (sims
miniskirts	0.233717
bodice	0.203157
tunic	0.15937
"pants suit"	0.159064
Pantsuits	0.154886
"evening bag"	0.150127
miniskirt	0.14742
legging	0.147213
halter	0.145785
Poncho	0.142303
cardigan	0.141999
sarong	0.136203
"evening gown"	0.135764
camisole	0.135475
pullover	0.134007
"felt hat"	0.133689
pantsuit	0.133629
blouse	0.130846
corset	0.129235
"stiletto heel"	0.121282
anorak	0.119943
undershirt	0.119612
choker	0.11907
loincloth	0.118211
"cowboy hat"	0.117644
frock	0.115857
"evening dress"	0.115713
"ball gown"	0.114388
"bow tie"	0.113799
satin	0.111188
Sari	0.110781
bluejeans	0.110089
turtleneck	0.108775
capris	0.108352
sweater	0.107616
"cocktail dress"	0.107437
bandana	0.107406
panty	0.106939
"sport shirt"	0.10636
trouser	0.105711
chiffon	0.105461
jumpsuit	0.103861
"combat boot"	0.103259
"hot pants"	0.102441
"polo shirt"	0.10228
sheath	0.101822
bandanna	0.101175
headband	0.10115
scarf	0.101078
caftan	0.0981264
trousers	0.0980308
shawl	0.0977717
tulle	0.0975654
"neck brace"	0.0973621
"rubber boot"	0.0967463
Bonnet	0.096198
"nail polish"	0.0944631
"straw hat"	0.0939244
"boxing glove"	0.0938559
hairpiece	0.0937504
bikini	0.0932841
kilt	0.0929617
pantyhose	0.0923142
"cowboy boot"	0.0921295
kimono	0.0918284
beret	0.0894541
parka	0.088633
waistcoat	0.0883934
leotards	0.0883366
raincoat	0.0875813
gown	0.0875054
armband	0.0870269
turban	0.0869367
"top hat"	0.0867337
"sports jacket"	0.0866025
moccasin	0.0847801
corduroy	0.0846951
Sash	0.0836226
G-string	0.0831447
"leather jacket"	0.0822356
Thong	0.0819388
neckline	0.0818532
sweatshirt	0.0815402
bodysuit	0.0808915
bra	0.0808811
bellbottoms	0.0806852
denim	0.0806629
overcoat	0.0798099
Cape	0.0795272
loafer	0.0795081
brassiere	0.0794155
velvet	0.0793712
ascot	0.079111
underpants	0.0789306
knickers	0.077754
wristband	0.0775702
petticoat	0.0769004
tassel	0.0769001
slack	0.0765299
fedora	0.0758185
sandal	0.0754976
taffeta	0.0750917
"running shoe"	0.0749473
bathrobe	0.0749323
pajamas	0.0748712
slacks	0.074635
"trench coat"	0.0745445
pants	0.0745259
nightgown	0.07393
"dress shirt"	0.073813
headdress	0.0737251
handbag	0.0734892
slicker	0.0727271
sequin	0.0723791
bolero	0.0722878
sleeve	0.0717592
mule	0.0701904
gauze	0.0699791
skullcap	0.0697682
"feather boa"	0.0691416
sneaker	0.0691174
yarmulke	0.0689268
pigtail	0.0688914
"place mat"	0.0686897
woolen	0.0683564
"baseball cap"	0.068244
"king salmon"	0.0674305
"business suit"	0.0670795
satchel	0.066705
wig	0.0666676
blackface	0.0654525
vestment	0.0653878
gloves	0.0653254
pastel	0.0652165
barrette	0.065121
pajama	0.0651136
swimsuit	0.0650684
"blue jean"	0.0640873
tux	0.0640345
eyeliner	0.0638142
"fur coat"	0.0632884
gingham	0.0632642
windbreaker	0.062954
smock	0.0625312
"mink coat"	0.0623675
stiletto	0.0615748
lipstick	0.0615393
"hard hat"	0.0615009
"Dolce &AMP; Gabbana"	0.0614753
mitten	0.061404
pillowcase	0.0608373
"bathing suit"	0.0607958
coverall	0.0607001
stocking	0.0602167
goatee	0.0599724
suspender	0.0597685
tablecloth	0.0592085
crepe	0.0591305
slipper	0.0588859
khaki	0.0587624
Fez	0.0584152
getup	0.0581914
"body armor"	0.0579191
"Ford Mustang"	0.0575731
Tutu	0.0575635
tights	0.057394
tiara	0.057345
"prayer shawl"	0.0571001
bloomers	0.0570713
necktie	0.0570537
"piece of cloth"	0.056652
"tennis shoe"	0.0564694
girdle	0.0560384
banquette	0.0556211
embroidery	0.0554803
earring	0.055217
"bowler hat"	0.0550967
moustache	0.0548672
"sweat pants"	0.0545462
handkerchief	0.0545166
"wedding gown"	0.0545007
"dress uniform"	0.0543973
stole	0.0542684
wainscoting	0.0539
"Star of David"	0.0538177
lingerie	0.0535774
holster	0.0531526
apron	0.0528703
sideburn	0.0524528
STETSON	0.0523594
brocade	0.0523063
plaid	0.0520878
fishnet	0.0520187
toupee	0.0519871
"tile roof"	0.0516137
"rubber band"	0.0505194
gunk	0.0504102
eyelash	0.0502153
brogue	0.0501528
nylon	0.0501258
))
(bustle (desc 6046.86) (sims
hubbub	0.0776452
commotion	0.0773349
tumult	0.061447
detritus	0.0589599
hoopla	0.0490575
cachet	0.0479898
frenzy	0.0466845
wallop	0.0465105
Din	0.0463225
clatter	0.0460571
denizen	0.0460461
"south side"	0.0458965
accoutrement	0.0449515
festivity	0.0448973
civility	0.0448758
pomp	0.0444733
"suburban area"	0.0440174
squalor	0.0439965
"north side"	0.0435761
unpredictability	0.0432645
harshness	0.0420441
tranquility	0.041686
give-and-take	0.0416193
tableau	0.0411873
ambience	0.0409553
ordinariness	0.040764
"waiting game"	0.0404001
tranquillity	0.0403109
"guessing game"	0.0402489
))
(butch (desc 2776.5) (sims
Connie	0.0726948
JoAnne	0.0643707
Gregg	0.0635562
Edith	0.0612208
Steven	0.0586013
Trevor	0.0578984
Kris	0.0565374
Dyer	0.053227
Antley	0.0525158
Jimy	0.0515757
concertgoers	0.051564
Donna	0.0512375
Danny	0.0511242
Amanda	0.0510405
Atler	0.0502191
ANN	0.0494383
Cusack	0.049101
"Bud Light"	0.048689
"Jose Guillen"	0.0486445
Carolyn	0.047665
ex-convict	0.0472671
Roger	0.0471107
Doug	0.0468491
Fred	0.0466099
Jamie	0.0461787
Kevin	0.0458969
Kathy	0.045487
Julie	0.0452372
Fech	0.0451515
Cheryl	0.0451487
GERE	0.045028
Josh	0.0450117
Gina	0.0446483
choirboy	0.0446385
Jeff	0.0445612
Dave	0.0442021
potter	0.0437445
alicia	0.0436899
Ted	0.043586
Scrooge	0.0434796
Billy	0.0434738
Judy	0.0434712
Laura	0.0433443
Meyers	0.0433078
Christine	0.0430284
Larry	0.0430154
Bartoli	0.0430054
Nicole	0.0428253
Mel	0.0424316
Anthony	0.0421357
Chris	0.0421109
Dion	0.0417587
Tracey	0.0411892
Clement	0.0410657
Willie	0.0409645
Judith	0.0405019
Ike	0.0404893
Jenna	0.0404779
lawman	0.0403374
Melinda	0.0401131
Lois	0.0400972
))
("Butch Carter" (desc 1134.06) (sims
"Chuck Daly"	0.226951
"Paul Silas"	0.20273
"Mike Dunleavy"	0.165078
"Doc Rivers"	0.152345
"Rudy Tomjanovich"	0.139227
"Roy Williams"	0.130188
"Jerry Sloan"	0.124361
"TOM COUGHLIN"	0.122918
"Pat Riley"	0.121638
"Jeff Van Gundy"	0.119702
"Paul Westphal"	0.116292
"Chris Palmer"	0.112174
"Bora Milutinovic"	0.112026
"Dennis Erickson"	0.104881
"Larry Brown"	0.10408
Donnan	0.10352
"Dennis Green"	0.103069
"George Karl"	0.101672
"John Robinson"	0.100281
"Dom Capers"	0.100147
"Dennis Johnson"	0.100008
"Rich Brooks"	0.0970385
"John Thompson"	0.0965067
"Pat Burns"	0.0964484
"Willie Randolph"	0.0958766
Ponciano	0.0954995
"P.J Carlesimo"	0.0944281
"Norv Turner"	0.0939821
"Tex Winter"	0.0937791
"Don Nelson"	0.0931821
"Rick Pitino"	0.0928149
"Jim Harrick"	0.091917
"Glenn Hoddle"	0.0910831
"Barry Switzer"	0.0899944
"John Calipari"	0.0876714
"Scotty Bowman"	0.0875983
"Mike Krzyzewski"	0.0869613
"Al Groh"	0.0845938
"Ken Hitchcock"	0.0830685
"Lou Holtz"	0.0824297
Harrick	0.0820998
"Mack Brown"	0.0820052
"Rick Neuheisel"	0.0805453
"Brian Billick"	0.0799238
"John Smith"	0.0795305
"Bobby Knight"	0.0794108
"Tom Osborne"	0.0784477
"Kurt Rambis"	0.0778236
Cremins	0.0777542
"Paul Johnson"	0.0777235
"Bob Knight"	0.0773146
"Tim Floyd"	0.0769321
Bustamante	0.0768288
"Rod Carew"	0.0766122
"Lenny Wilkens"	0.0761917
"Tommy Bowden"	0.0754852
Warshaw	0.0753815
"Dave Campo"	0.0752286
"Steve Mariucci"	0.0749161
"Don Shula"	0.0746069
"George Seifert"	0.0731778
"Del Harris"	0.0727115
"Tom Landry"	0.0726744
"Dave Stewart"	0.07207
"Dave Wannstedt"	0.0719118
"Tony Dungy"	0.0716946
"Don Baylor"	0.0716885
"Walter Zenga"	0.0713846
"Joe Gibbs"	0.071239
"Dave Cowens"	0.0704767
"Mike Holmgren"	0.0700605
"Bill Cowher"	0.0690175
Slocum	0.0683475
"Bela Karolyi"	0.0682362
"Chan Gailey"	0.0681607
"John Wooden"	0.0680516
"Mike Ditka"	0.0663212
"Vince Lombardi"	0.0658517
"Jim Calhoun"	0.0658037
"Dick Jauron"	0.0650033
"Don Zimmer"	0.0648122
Esposito	0.0645526
"Joe Paterno"	0.0645069
Solich	0.0644868
"Bobby Bowden"	0.0636113
Casserly	0.0633592
"Johan Cruyff"	0.0615198
"Mike Shanahan"	0.0614921
"Bill Belichick"	0.0605982
Sampson	0.0605935
"Steve Spurrier"	0.0603931
"Dan Reeves"	0.0601833
Landry	0.0600709
Fassel	0.0592114
"Dean Smith"	0.0590833
"Kevin Keegan"	0.0586678
Haskins	0.0577654
Ruehe	0.0572037
"Dick Vermeil"	0.0567867
"Mel Stottlemyre"	0.0566444
Eubanks	0.0564225
Soares	0.0561943
Gutman	0.0559719
Spurrier	0.0559203
"Mike Martz"	0.0555116
Zambrano	0.0553487
"Red Auerbach"	0.0543241
"Bear Bryant"	0.0539627
K.	0.0538369
"Neil Smith"	0.0533
"Tom Davis"	0.053067
Babcock	0.0525166
Osborne	0.0525058
"Isiah Thomas"	0.0516438
"Colin Campbell"	0.051394
Isikoff	0.0512095
Cha	0.0510037
"Bill Walsh"	0.0508773
Grasso	0.0507199
"Clyde Drexler"	0.0504748
Wannstedt	0.0503751
"Mike Scioscia"	0.0502174
"Drayton McLane Jr."	0.0495438
"Elgin Baylor"	0.0489182
Insulza	0.0486983
Reinsdorf	0.0483962
Finkel	0.0482823
"Ruud Gullit"	0.0482755
Vermeil	0.0482367
"Billie Jean King"	0.0482257
"Ray Rhodes"	0.048216
Polian	0.0481935
"Mike Hargrove"	0.0481317
Deane	0.0479111
"Ernie Grunfeld"	0.0476886
"Terry Allen"	0.0472504
Alioto	0.0467838
McGinnis	0.0466508
Stossel	0.046553
Broaddrick	0.0461189
Scioscia	0.0457032
Rea	0.0450488
Kazhegeldin	0.0439584
Barnett	0.0438098
Schottenheimer	0.0437991
"Kenneth Clarke"	0.0436671
Fulmer	0.043577
Muckler	0.043563
Skiles	0.0435624
"Cable News Network"	0.0435614
Flanagan	0.0435089
Bavasi	0.0433967
Hayworth	0.0433317
"Jerry Krause"	0.0432207
Gullit	0.0431804
flack	0.0430847
Ftorek	0.0428368
Bettman	0.042767
"Patsy Ramsey"	0.0426785
Summitt	0.0426061
Stoneman	0.042575
"John Harrington"	0.0424497
Beckenbauer	0.0418785
"June Jones"	0.0417609
Romer	0.0417284
"Harry Sinden"	0.0416382
Galvin	0.0415892
Shandling	0.0415148
Abraham	0.0413899
Alarcon	0.0413859
Brazile	0.04134
Crenshaw	0.0412926
Ditka	0.0412621
Schieffer	0.041259
Jayakumar	0.0412544
Graziano	0.0412159
Azad	0.0408793
"school of thought"	0.040834
Waddell	0.0405704
DuBose	0.0404461
Hirschbeck	0.0403768
McKeon	0.0403709
Kerasiotes	0.0402696
"Gianluca Vialli"	0.0401104
))
("Butch Huskey" (desc 4853.38) (sims
"Jay Buhner"	0.255587
"Eric Owens"	0.250376
"Darren Lewis"	0.24849
"John Vander Wal"	0.242041
"Raul Ibanez"	0.240433
"John Mabry"	0.239971
"Bobby Higginson"	0.238591
"Glenallen Hill"	0.237363
"Dante Bichette"	0.232512
"Mark Kotsay"	0.232459
"Bruce Aven"	0.230373
"Matt Lawton"	0.229508
"Lenny Harris"	0.229132
"Henry Rodriguez"	0.227725
"Danny Bautista"	0.224797
"Reggie Jefferson"	0.222391
"Bubba Trammell"	0.221653
"Matt Stairs"	0.216721
"Manny Alexander"	0.216208
"Phil Nevin"	0.215607
"David Segui"	0.214127
"Jeff Conine"	0.210481
"Rob Ducey"	0.210356
"Ron Coomer"	0.210068
"Geoff Jenkins"	0.209021
"Edgar Martinez"	0.208203
"Mike Cameron"	0.207427
"Trot Nixon"	0.207274
"Carlos Lee"	0.206117
"Troy O'Leary"	0.204535
"Mike Stanley"	0.203194
"Bobby Abreu"	0.203097
"Jason Varitek"	0.202754
"Jon Nunnally"	0.201574
"Rondell White"	0.201567
"Lance Berkman"	0.201502
"Darren Bragg"	0.199548
"Brian Hunter"	0.199069
"Marvin Benard"	0.198228
"Brian Daubach"	0.198094
"Paul Konerko"	0.198052
"Jose Guillen"	0.197674
Lankford	0.197285
"Ron Gant"	0.197143
"Dmitri Young"	0.196998
"Stan Javier"	0.196324
"Derrek Lee"	0.195289
"Luis Gonzalez"	0.193791
"Ray Lankford"	0.193482
"Preston Wilson"	0.193017
"Rich Becker"	0.192732
"Brian Giles"	0.192574
"David Ortiz"	0.192083
"Al Martin"	0.191843
"Bill Spiers"	0.191719
"Mike Lansing"	0.191244
"Jose Hernandez"	0.1907
"Luis Alicea"	0.189791
"Mickey Morandini"	0.189262
"Scott Spiezio"	0.188734
"John Valentin"	0.187363
"Karim Garcia"	0.184572
"Dave Martinez"	0.18444
"John Olerud"	0.182892
"Tim Salmon"	0.182891
Rolen	0.181632
"Russ Davis"	0.181588
"Dave Hansen"	0.1815
"Todd Pratt"	0.180793
"Dean Palmer"	0.180639
"Dan Wilson"	0.180626
"Jason Giambi"	0.180105
"Paul Bako"	0.180066
"Damon Buford"	0.179896
"David Bell"	0.179572
"Richard Hidalgo"	0.179496
"Bernard Gilkey"	0.17901
Vidro	0.178896
"Rickey Henderson"	0.178761
"Benny Agbayani"	0.178308
"Jeremy Giambi"	0.17798
"Shawn Green"	0.177711
"Corey Koskie"	0.177364
"Damian Jackson"	0.177174
"Marty Cordova"	0.176918
"Ed Sprague"	0.176907
"Scott Rolen"	0.176881
"Andy Fox"	0.176289
"Orlando Palmeiro"	0.176268
"Rich Aurilia"	0.175643
"Quinton McCracken"	0.175237
"Mike Sweeney"	0.17475
Aurilia	0.174745
"Brant Brown"	0.174419
"Matt Franco"	0.174334
"Carl Everett"	0.173825
"Russ Johnson"	0.173534
"Bobby Bonilla"	0.172404
"Jeffrey Hammonds"	0.172222
"Scott Hatteberg"	0.17192
"Cliff Floyd"	0.171651
"Kevin Young"	0.171163
"Luis Polonia"	0.170193
"Roger Cedeno"	0.169657
"Joe Randa"	0.169577
"Kelly Stinnett"	0.169142
"Mark Loretta"	0.16907
"Jermaine Dye"	0.169029
"Darryl Hamilton"	0.168527
"Carlos Beltran"	0.168484
"Eddie Taubensee"	0.168371
"Matt Luke"	0.16679
"Damian Miller"	0.166213
"Rico Brogna"	0.16555
Higginson	0.165153
"Vladimir Guerrero"	0.165143
"Jose Cruz Jr."	0.163926
"Gerald Williams"	0.163787
"Todd Walker"	0.163292
"Johnny Damon"	0.163225
"Ruben Rivera"	0.162938
"Terrence Long"	0.162114
"Reggie Sanders"	0.162114
"Richie Sexson"	0.161188
"Jose Offerman"	0.160429
"Gary Sheffield"	0.160407
"Derek Bell"	0.160072
"Chad Curtis"	0.160015
"Luis Lopez"	0.159897
"Deivi Cruz"	0.159731
Burnitz	0.159714
"Mike Simms"	0.159501
"Craig Counsell"	0.15946
"Harold Baines"	0.158822
"Tony Batista"	0.158474
"Brad Fullmer"	0.158158
"Jeff Cirillo"	0.157837
"Edgardo Alfonzo"	0.157834
"Wally Joyner"	0.157416
"Kevin Jordan"	0.156958
"Ben Grieve"	0.155885
Cirillo	0.155454
"Todd Greene"	0.155408
"Darin Erstad"	0.155126
"Tom Goodwin"	0.155084
"Will Clark"	0.154786
"Chris Widger"	0.153478
"Greg Vaughn"	0.153064
"Tim Bogar"	0.152833
Renteria	0.152493
"David Dellucci"	0.15203
"Bill Mueller"	0.152008
"J.T Snow"	0.151729
"Jim Leyritz"	0.15159
"Lee Stevens"	0.151402
"Juan Encarnacion"	0.151157
"Midre Cummings"	0.150196
"Wil Cordero"	0.150138
"Doug Glanville"	0.149347
"Jose Vidro"	0.148947
"John Jaha"	0.148382
"F.P Santangelo"	0.148257
"Tom Lampkin"	0.148022
"Todd Hundley"	0.14788
Agbayani	0.147706
"Todd Helton"	0.147508
"Ellis Burks"	0.147496
"Kenny Lofton"	0.147452
Fullmer	0.147393
"Travis Lee"	0.147076
"Tony Clark"	0.146715
"Jose Valentin"	0.146495
"Mike Lieberthal"	0.146492
"Gregg Jefferies"	0.146196
Olerud	0.145932
"Todd Hollandsworth"	0.145278
"Javy Lopez"	0.145161
"Carlos Baerga"	0.145085
"Melvin Mora"	0.144793
"Andruw Jones"	0.144539
"Daryle Ward"	0.144146
"Rusty Greer"	0.144061
"Ricky Ledee"	0.143834
"Gabe Kapler"	0.143751
"Craig Paquette"	0.143304
"Tony Eusebio"	0.143253
"Michael Tucker"	0.142798
"Jim Thome"	0.142716
"Brian McRae"	0.142596
"Eric Chavez"	0.142431
Sexson	0.142401
"Jeromy Burnitz"	0.142299
"Ray Durham"	0.142198
"Tony Womack"	0.141941
"Troy Glaus"	0.141864
"Rafael Palmeiro"	0.141595
"Trenidad Hubbard"	0.141273
"Tony Phillips"	0.141028
"Jay Payton"	0.14085
"Marquis Grissom"	0.140705
"Brady Anderson"	0.14068
"Nomar Garciaparra"	0.140584
"Ryan Klesko"	0.140239
"Matt Mieske"	0.139528
"Mark McLemore"	0.139506
Huskey	0.139092
Alfonzo	0.138326
"Jason McDonald"	0.138312
"Brian Jordan"	0.137812
"Frank Thomas"	0.137802
"Carlos Delgado"	0.137592
"Mark Grace"	0.137442
"Travis Fryman"	0.13737
"Joey Cora"	0.137166
"Tony Graffanino"	0.136861
Giambi	0.13682
"GERONIMO BERROA"	0.136443
"Devon White"	0.136426
Bordick	0.136275
"Miguel Tejada"	0.136115
"Jose Canseco"	0.136056
"Robin Ventura"	0.135822
"Warren Morris"	0.135205
Lieberthal	0.1351
"Jeff Bagwell"	0.135016
"Frank Catalanotto"	0.13501
"B.J Surhoff"	0.13487
Buhner	0.134847
"Charlie Hayes"	0.134763
Tatis	0.134559
"Erubiel Durazo"	0.134233
"Enrique Wilson"	0.133426
Klesko	0.13315
"Eric Karros"	0.132943
Segui	0.132862
"Einar Diaz"	0.132854
Bichette	0.132032
"Manny Ramirez"	0.131707
"Raul Mondesi"	0.131655
Ordonez	0.131616
Nevin	0.130947
Abreu	0.130624
"Magglio Ordonez"	0.130314
"Garret Anderson"	0.130064
Karros	0.129556
"Matt Williams"	0.129098
"Barry Larkin"	0.129014
"Fred McGriff"	0.128859
"Desi Relaford"	0.128364
"Pat Burrell"	0.128302
"Omar Vizquel"	0.128068
"Mike Piazza"	0.127871
"Bret Boone"	0.127811
"Joe McEwing"	0.12737
"Adam Kennedy"	0.127338
"Greg Colbrunn"	0.127231
"Shawon Dunston"	0.126122
"Jay Bell"	0.126046
"Ozzie Guillen"	0.126025
"Peter Bergeron"	0.125914
"Barry Bonds"	0.125838
Dunston	0.125715
"Ken Caminiti"	0.125559
"Quilvio Veras"	0.125353
"Cristian Guzman"	0.125245
"Alex Rodriguez"	0.125078
"Shannon Stewart"	0.12488
Batista	0.124616
"Alex Gonzalez"	0.124283
"Moises Alou"	0.124164
"Brad Ausmus"	0.124069
"Mike Lamb"	0.123761
Veras	0.123749
DeShields	0.12373
"Randy Velarde"	0.123644
"Jim Edmonds"	0.123605
"Todd Zeile"	0.12346
grieve	0.123302
"Steve Finley"	0.123276
"Chili Davis"	0.123097
McGriff	0.122976
"Juan Gonzalez"	0.122748
Cordero	0.122628
"Tino Martinez"	0.12172
"Paul O'Neill"	0.121523
"Fernando Vina"	0.121354
"Sandy Alomar"	0.121077
"Craig Biggio"	0.121015
Hollins	0.120933
"Ken Griffey Jr."	0.12083
"Herbert Perry"	0.120767
"J.D Drew"	0.120557
"Mike Lowell"	0.120343
"Tim Raines"	0.120065
"Roberto Kelly"	0.119999
"Pat Meares"	0.119961
Hundley	0.119585
Palmeiro	0.119452
"Ruben Mateo"	0.119445
"Mike Benjamin"	0.119379
Garciaparra	0.11928
Valentin	0.119039
Alicea	0.118375
"Eric Davis"	0.1177
Bagwell	0.117695
"Charles Johnson"	0.117293
"Mo Vaughn"	0.117114
"Scott Brosius"	0.116972
Zeile	0.115879
Velarde	0.115642
"Miguel Cairo"	0.115479
Glanville	0.115426
Varitek	0.115039
Glaus	0.114795
"Brook Fordyce"	0.114661
"Jeff Kent"	0.114559
"Eric Young"	0.1144
"Sean Casey"	0.114155
"Joe Carter"	0.113717
"Keith Lockhart"	0.113485
Daubach	0.113298
Womack	0.112832
"Bernie Williams"	0.112562
"Carlos Guillen"	0.112513
"Dave Hollins"	0.112512
"Tony Fernandez"	0.112428
Cedeno	0.112373
"Kevin Elster"	0.112108
Taubensee	0.111942
"Willie Greene"	0.111387
Vaughn	0.110981
"Tony Gwynn"	0.110868
"Andres Galarraga"	0.11052
"Ricky Gutierrez"	0.110116
"Vinny Castilla"	0.109892
"Albert Belle"	0.10985
Gant	0.109597
Lawton	0.109524
"Kevin Stocker"	0.109329
"Chuck Knoblauch"	0.109292
"Greg Myers"	0.109016
"Jeff Frye"	0.108701
"Donnie Sadler"	0.108674
"Neifi Perez"	0.10839
Surhoff	0.108365
Erstad	0.108327
"Walt Weiss"	0.108296
"Ivan Rodriguez"	0.108179
Bonilla	0.108041
"Mark Grudzielanek"	0.107745
"Wilton Guerrero"	0.107568
"Mike Bordick"	0.106904
"Damion Easley"	0.106888
Ledee	0.105942
"Edgar Renteria"	0.105908
Frye	0.105788
"Mitch Meluskey"	0.105662
Guillen	0.105339
Delgado	0.105172
Tejada	0.105041
"Brent Mayne"	0.10483
"Gary Gaetti"	0.104775
"Sean Berry"	0.104603
"Rey Ordonez"	0.104016
"Cecil Fielder"	0.103816
"Bengie Molina"	0.103706
Spiers	0.102908
"Royce Clayton"	0.102844
Alou	0.102159
Saenz	0.102131
"Jorge Posada"	0.101783
"Gary DiSarcina"	0.101688
Baerga	0.101675
"Aaron Boone"	0.101272
Gilkey	0.101104
"Derek Jeter"	0.101049
Javier	0.100779
Grudzielanek	0.100507
"Pokey Reese"	0.100136
"Shane Spencer"	0.100041
))
(butcher (desc 13572.8) (sims
tailor	0.0907409
bricklayer	0.0906739
blacksmith	0.0808514
fisherman	0.0763506
Barber	0.0724957
plumber	0.0705005
grocer	0.0675361
hairdresser	0.0658406
florist	0.0651264
seamstress	0.0650438
"butcher shop"	0.0628165
pharmacist	0.0622238
waiter	0.0609136
"insurance agent"	0.0608136
cashier	0.0603986
shopkeeper	0.0601204
janitor	0.0595008
electrician	0.0580341
steelworker	0.0571915
cabinetmaker	0.0567841
Hussain	0.0565515
caterer	0.056393
Atherton	0.0562895
dentist	0.0558439
chef	0.0557369
policeman	0.0553753
Arkan	0.0547602
cantor	0.054258
mechanic	0.0541212
Baker	0.053739
stockbroker	0.0535964
Stewart	0.0535289
restaurateur	0.0535035
housewife	0.0534006
carpenter	0.0533665
merchant	0.0527174
handyman	0.0524667
welder	0.0523903
stylist	0.0521828
"truck driver"	0.0519804
accountant	0.0519526
drugstore	0.0514433
delicatessen	0.0510373
jeweler	0.0508699
logger	0.0508515
bakery	0.0508082
"factory worker"	0.0506426
schoolteacher	0.0506
"Justin Langer"	0.0498935
Cop	0.0498042
fireman	0.0495315
veterinarian	0.0494248
craftsman	0.0494124
dealer	0.0494017
roofer	0.0493965
technician	0.049259
surgeon	0.0489751
poacher	0.0488071
"prison guard"	0.0486179
handler	0.048422
rabbi	0.0484096
Postmaster	0.0483079
waitress	0.0482677
clerk	0.0482606
"naval officer"	0.0475396
nurse	0.0472914
painter	0.0472523
"school principal"	0.0472209
"hardware store"	0.0471664
deli	0.0470434
businessman	0.0469149
"bus driver"	0.0468048
"real estate agent"	0.0466594
"computer programmer"	0.0464425
hairstylist	0.0461176
banker	0.0461174
preacher	0.0459942
rancher	0.0456821
laborer	0.0455094
"clothing store"	0.0454062
librarian	0.0452466
firefighter	0.0451501
sitter	0.0451296
"dairy farmer"	0.0451136
peddler	0.0450354
"school teacher"	0.0447881
chemist	0.0444209
gardener	0.0442608
mailman	0.0441916
thief	0.0439616
bartender	0.0437306
servant	0.0436834
miner	0.0435553
newspaperman	0.0435266
physician	0.0434364
"police officer"	0.0433869
homemaker	0.043342
priest	0.0432143
sculptor	0.043155
artisan	0.0431254
"air force officer"	0.0430628
"specialty store"	0.0430464
"coal miner"	0.0429432
operator	0.0429383
"funeral director"	0.0429173
"newspaper publisher"	0.0429117
violinist	0.0428402
salesman	0.0427459
"car dealer"	0.042642
Fishermen	0.0426263
builder	0.0426132
winemaker	0.042601
sailor	0.0425332
"dry cleaner"	0.0423744
slaughterhouse	0.0422879
musician	0.0422061
murderer	0.0421661
scalpers	0.0421485
"farm worker"	0.0420833
missionary	0.0420533
Realtor	0.041809
stuntman	0.0417663
nobleman	0.0417008
atheist	0.0416989
maid	0.0416097
Ainge	0.0415325
"Mark Taylor"	0.0414584
proprietor	0.041438
naturalist	0.0413637
clergyman	0.0413268
"Mark Waugh"	0.0411893
trucker	0.0411084
"food shop"	0.0410444
peasant	0.0410176
inventor	0.0408305
caddie	0.0407998
"liquor store"	0.0407259
"interior designer"	0.0406737
entrepreneur	0.0406657
"social worker"	0.0405654
craftsmen	0.0405013
executioner	0.0404842
vet	0.0404306
optometrist	0.0403957
workmen	0.0403762
sharecropper	0.0403644
"letter carrier"	0.0402882
architect	0.0402501
"disc jockey"	0.0401499
))
("butcher shop" (desc 1331.52) (sims
delicatessen	0.178511
"liquor store"	0.156284
"beauty shop"	0.143945
"movie house"	0.12267
"clothing store"	0.120439
"convenience store"	0.11327
"dry cleaner"	0.112425
deli	0.111919
"specialty store"	0.111782
"hardware store"	0.107963
bakery	0.107955
eateries	0.106589
drugstore	0.105366
"food shop"	0.103335
"beauty parlor"	0.102389
"shoe store"	0.098366
"bowling alley"	0.097926
"sugar refinery"	0.092979
"gas station"	0.0889747
"repair shop"	0.0877425
"retail operation"	0.0868227
"art gallery"	0.0857263
"dairy farm"	0.0845282
"movie theater"	0.0826081
Pharmacy	0.0824964
"general store"	0.0818435
caterer	0.0815391
"jewelry store"	0.0812803
"retail store"	0.0797096
"pizza parlor"	0.0795808
"tea house"	0.0776644
"grocery store"	0.0773751
"discount store"	0.0770156
boutique	0.0741757
"snack bar"	0.0739385
parlor	0.0736422
"Print Shop"	0.073399
"chain store"	0.0732992
"gift shop"	0.0732454
bed-and-breakfast	0.0728554
tavern	0.0725654
"dance hall"	0.0723306
discotheque	0.0722209
"law practice"	0.0720738
cafeteria	0.0719263
"funeral home"	0.0719132
"Rainbow Room"	0.0719006
"employment agency"	0.0712972
"coffee shop"	0.07032
"gambling casino"	0.0692229
"entertainment center"	0.0689239
pub	0.0689104
saloon	0.0680881
"service station"	0.0679478
stockyard	0.0676551
nightspots	0.0673981
grocer	0.0670775
coffeehouse	0.06674
"petrol station"	0.0660941
teahouse	0.0653055
emporium	0.0652122
stoplight	0.0647607
pizzeria	0.0643799
"supper club"	0.0639504
"sales outlet"	0.0639489
"community newspaper"	0.0631655
"fortune cookie"	0.0631292
bistro	0.0628008
dealership	0.0623315
"toy store"	0.0622077
Steakhouse	0.0620116
"truck stop"	0.0617359
distributorship	0.0614286
"gasoline station"	0.0607962
slaughterhouse	0.0607138
"ballet company"	0.060686
"ski lift"	0.0599819
sub-branches	0.0593296
coven	0.0587648
kennel	0.0586133
"fire station"	0.0585938
"machine shop"	0.0585728
"gasoline pump"	0.058247
newsstand	0.0582116
Supercenters	0.0577181
multiplex	0.0576805
"ticket office"	0.0573202
"computer store"	0.0569919
"stock company"	0.0569266
outbuilding	0.0567089
dealerships	0.0566262
"tourist hotel"	0.0559324
canteen	0.0556403
"music school"	0.0555803
campgrounds	0.0552824
"carriage house"	0.0552512
arcade	0.0551461
"cattle ranch"	0.0551286
"recreational facility"	0.0550784
"trading post"	0.054972
"beauty salon"	0.0546692
"branch office"	0.0539252
"log cabin"	0.0534524
"hot chocolate"	0.0534459
dispensary	0.0531322
"filling station"	0.0530214
"New York Film Festival"	0.0529881
spas	0.0529443
Sim	0.0529138
"Dairy Queen"	0.0524385
"community center"	0.0521591
Woolworth	0.0520131
"more than @,@@@ acres"	0.0519377
"minor-league team"	0.0512694
"game room"	0.0509103
"candy store"	0.0507923
"movie studio"	0.0507643
Brasserie	0.0506646
parastatals	0.0506208
superstore	0.0504474
bureaux	0.0502369
abattoir	0.0501583
CFCs	0.0501027
"car door"	0.0500089
"railroad station"	0.0499098
Marina	0.0498845
"coffee bar"	0.0497394
nightspot	0.0497149
"ball club"	0.0496608
"sea lane"	0.0496123
"botanical garden"	0.0495881
"opera company"	0.0494939
"recording studio"	0.0493228
bookshop	0.0484483
"B&AMP;B"	0.0482621
stalls	0.048164
hypermarket	0.0481541
"vocational school"	0.0481246
"food company"	0.0480304
Anand	0.0480203
"nursery school"	0.0478688
hatchery	0.0478649
winemaker	0.0476227
"herb garden"	0.0476176
"child welfare agency"	0.0475447
Bathhouse	0.047544
"business establishment"	0.0475036
"file cabinet"	0.0474082
"textile mill"	0.0472922
Safeway	0.0470139
"Off Broadway"	0.0468657
"savings bank"	0.0468187
"No. @s"	0.0466633
"open-air market"	0.0464218
"public utility"	0.0463658
"flour mill"	0.0461796
"baseball club"	0.0460846
"subsidiary company"	0.045799
"stamp collector"	0.0457545
"investment company"	0.0457196
"family business"	0.0453508
junkyard	0.0452487
"parcel of land"	0.0451386
team.	0.0450682
varietals	0.0449699
"Taco Bell"	0.0449045
"soup kitchen"	0.0448796
"minority interest"	0.0447916
"cash machine"	0.0444873
footbridge	0.044454
pantry	0.0443597
"printing company"	0.0443443
"Chez Panisse"	0.0443172
"soda fountain"	0.0442797
barbershop	0.0442275
"bank vault"	0.044149
"piece of cloth"	0.0439988
"Holiday Inn"	0.0439927
"order book"	0.0438705
"telephone exchange"	0.0438414
nightlife	0.0438182
"Grand Hotel"	0.0437793
Cineplex	0.0437559
"Radio City Music Hall"	0.0434788
"furniture company"	0.0434309
realignments	0.043384
"publishing company"	0.0433769
"tennis court"	0.0432234
Consulate-General	0.0429969
"flea market"	0.0429028
sweatshop	0.0428915
"department store chain"	0.0428117
"parking area"	0.0427246
"Apollo Theater"	0.0426801
"bus terminal"	0.0426054
"Medicare HMO"	0.0424107
"pedestrian bridge"	0.0423249
"shopping bag"	0.0422905
chiropractor	0.0422705
mortuary	0.0422312
))
(butchery (desc 2668.4) (sims
barbarity	0.10669
"mass murder"	0.100837
cleansing	0.0876757
brutality	0.0796536
bloodbath	0.07198
atrocity	0.0692287
mutilation	0.067063
mayhem	0.0579164
carnage	0.0569631
hostage-taking	0.056067
savagery	0.0551253
Turetzky	0.0541911
repression	0.0533816
bloodletting	0.0525213
heroism	0.0518821
displacement	0.0496047
lynching	0.0494295
insanity	0.0493122
SIESTA	0.0488544
"war crime"	0.0487642
intimidation	0.0473671
amputation	0.0469328
circumcision	0.046859
malevolence	0.0467296
destabilization	0.046249
maltreatment	0.0459157
cannibalism	0.0453184
dislocation	0.044912
"military campaign"	0.0449106
"subversive activity"	0.044856
mixup	0.0447044
devastation	0.0442997
"proxy fight"	0.0430336
hopelessness	0.0426151
looting	0.042425
"medical exam"	0.042185
pogrom	0.0419393
stabbings	0.0418967
exhumation	0.0411322
lawlessness	0.04052
discotheque	0.0405081
"bombing run"	0.0402149
"Kenyan shilling"	0.0401117
"market correction"	0.0401083
"Serbian Orthodox Church"	0.0401028
))
(Buthelezi (desc 2370.29) (sims
Bulatovic	0.195887
Chissano	0.178125
Nzo	0.167268
"Yossi Sarid"	0.162532
Ecevit	0.15587
Izetbegovic	0.15163
"Bashkim Fino"	0.151297
Nujoma	0.149032
Sergeyev	0.143973
"Lee Hsien Loong"	0.139639
Alatas	0.138758
Husseini	0.138715
Lazarenko	0.136697
Sarid	0.135525
"Nur Misuari"	0.135521
"Mikulas Dzurinda"	0.135377
Nasrallah	0.135265
Yastrzhembsky	0.133233
Klerk	0.133068
Kasoulides	0.132736
"John Prescott"	0.132619
Mokhehle	0.131875
Ciampi	0.131815
"Khaleda Zia"	0.131671
Khamenei	0.130909
Severino	0.130667
Mugabe	0.129708
Mordechai	0.129615
Advani	0.12924
Chiluba	0.12921
Brundtland	0.128845
Velayati	0.128371
Mkapa	0.128253
Seleznyov	0.127917
Camdessus	0.127011
Guterres	0.126277
Bildt	0.126179
"Xanana Gusmao"	0.125994
Mbeki	0.12595
"Ariel Sharon"	0.125874
Tarawneh	0.125764
Mallon	0.12526
Zuma	0.12524
Nazarbayev	0.12518
"Alexander Shokhin"	0.125174
"Yuri Maslyukov"	0.125152
Chuan	0.125091
Sharansky	0.125081
"Jack Valenti"	0.123991
Stoyanov	0.12367
Chavalit	0.123654
Jovanovic	0.122808
"William Hague"	0.121691
Rafsanjani	0.120937
Rifkind	0.120823
"Faisal Husseini"	0.120461
Singson	0.119955
Westendorp	0.119791
Machel	0.119442
"George Robertson"	0.118012
D'Alema	0.117948
Mandela	0.117153
"Aryeh Deri"	0.117129
Klima	0.116795
Erekat	0.116735
Ruehe	0.116581
McGuinness	0.11642
Siazon	0.116302
Kasyanov	0.116181
"Kim Jong-pil"	0.11599
"Igor Sergeyev"	0.115763
Jia	0.11574
Shaath	0.115571
Shipley	0.115341
Wilhelm	0.114559
Erbakan	0.113886
Eizenstat	0.113765
Misuari	0.113266
Ahern	0.113048
Wolfson	0.112911
Kinkel	0.11265
Hodler	0.112605
Ashrawi	0.112471
"De Klerk"	0.112384
"Pandeli Majko"	0.112329
"Necmettin Erbakan"	0.111757
"John Bruton"	0.111622
"Vuk Draskovic"	0.111494
Saleh	0.111425
"Khin Nyunt"	0.1111
"Ivan Kostov"	0.110587
"Boris Nemtsov"	0.110478
Masire	0.11042
Fino	0.110252
Klestil	0.110246
"Than Shwe"	0.110213
Harmoko	0.109938
Tutu	0.109804
Garang	0.109494
Beilin	0.109412
Ouattara	0.10916
Lari	0.109142
Hoss	0.108993
Kharrazi	0.108724
"Fatos Nano"	0.108404
Meles	0.107761
"Lokendra Bahadur Chand"	0.107731
"Chuan Leekpai"	0.107596
Verney	0.10749
"Tariq Aziz"	0.107218
"Bulent Ecevit"	0.107174
Chirac	0.106928
Katsav	0.106883
"Gennady Zyuganov"	0.106764
Maslyukov	0.106495
Zhirinovsky	0.106284
"Jonas Savimbi"	0.106169
"Gulbuddin Hekmatyar"	0.105704
"Helen Clark"	0.105649
Sumaye	0.105617
Phieu	0.105558
Salim	0.105556
Shevardnadze	0.1052
"Yitzhak Mordechai"	0.105195
"Ricardo Alarcon"	0.104754
Modise	0.104537
Rodionov	0.104523
Stepashin	0.104476
Chevenement	0.104406
Koirala	0.10435
Nateq-Nouri	0.104136
Brittan	0.103995
Rossotti	0.103817
Meguid	0.103806
Shahak	0.103763
"Hashim Thaci"	0.103672
Rudman	0.10346
Yazdi	0.103432
Buyoya	0.103421
Flanagan	0.103418
Cem	0.103321
Majali	0.103261
Zeng	0.10296
Wamba	0.10289
"Marzuki Darusman"	0.102627
"Wolfgang Schaeuble"	0.102268
Krajisnik	0.102248
"Alija Izetbegovic"	0.102233
Dini	0.101981
Hekmatyar	0.101841
"Ieng Sary"	0.101839
Denktash	0.101716
Levitt	0.100828
Demaci	0.100634
Kwasniewski	0.100412
"Oskar Lafontaine"	0.100361
Tsang	0.100309
"Michel Camdessus"	0.0999663
Rais	0.0999
Kagame	0.0998141
Wenger	0.0996149
Karimov	0.0994313
"Martin Lee"	0.0990792
Aziz	0.0989031
Koehler	0.0987008
Trimble	0.0984583
"Megawati Soekarnoputri"	0.0984174
Simitis	0.0983958
"Defense William Cohen"	0.0983331
"Atal Behari Vajpayee"	0.0980293
Santer	0.0979914
"Rolf Ekeus"	0.0979011
Lukashenko	0.0971557
"Xie Zhenhua"	0.0970335
"Yasser Arafat"	0.0969797
Kyprianou	0.096826
Hume	0.0966382
Ekeus	0.0965155
"Yoshiro Mori"	0.0964851
Moi	0.0964003
Moratinos	0.0963996
Yilmaz	0.0963359
"Natan Sharansky"	0.0961923
Blatter	0.0960306
Hasina	0.0959318
Sharon	0.0958579
Chand	0.0958519
"Vojislav Seselj"	0.0956454
"Amien Rais"	0.0955652
"Fayez Tarawneh"	0.0954764
"Bizima Karaha"	0.0954625
"Wlodzimierz Cimoszewicz"	0.0954014
Berri	0.095356
Schuessel	0.0953048
Alarcon	0.0951734
"Mikhail Kasyanov"	0.0951223
"de Charette"	0.0950194
Supachai	0.0950136
Gowda	0.0949664
"Krishna Prasad Bhattarai"	0.0949055
))
(Butler (desc 31153.1) (sims
"Richard Butler"	0.19478
Annan	0.121301
Ritter	0.112196
"Rolf Ekeus"	0.108017
Ekeus	0.107398
Aziz	0.105805
UNSCOM	0.102307
Holbrooke	0.0938429
Primakov	0.0935089
Cohen	0.0932422
Yeltsin	0.0898859
Netanyahu	0.087575
Mordechai	0.0871756
"Kofi Annan"	0.087043
Richardson	0.0869747
Kennard	0.0864374
Arafat	0.0864365
inspector	0.0861694
al-Sahhaf	0.0847976
Hyde	0.083824
Samaranch	0.083698
Denktash	0.083219
Blair	0.0830828
IAEA	0.0817102
Albright	0.0804519
Starr	0.0799515
Ecevit	0.0795647
Lockhart	0.0794659
Lee	0.0792386
Mahathir	0.0787513
"William Cohen"	0.078247
Tung	0.077949
Trulock	0.0774617
Goh	0.077437
Komura	0.0773316
Lott	0.0773226
Barak	0.077062
Hodler	0.0763706
perry	0.0761582
Chernomyrdin	0.0761504
Patten	0.0761061
Mugabe	0.0759775
Clark	0.0758922
Reno	0.0757466
Chuan	0.0757362
Mandela	0.0756399
Gujral	0.0756035
Musharraf	0.0753922
Rubin	0.0753232
Fischer	0.0751238
Lebed	0.0748826
Stepashin	0.0748257
Wang	0.0745772
Ross	0.0744163
Sharif	0.0741769
Kim	0.0740095
Mitchell	0.0730774
Clinton	0.0730562
Sergeyev	0.072897
Schroeder	0.0728613
"Javier Solana"	0.0725984
"Tariq Aziz"	0.0724312
Gingrich	0.0719982
Vasile	0.0719244
Zhu	0.0719089
"Benjamin Netanyahu"	0.0718111
Trimble	0.0717833
prosecutor	0.0714233
Wahid	0.0713567
Wiranto	0.0710093
Livingston	0.0708605
"Necmettin Erbakan"	0.0708432
Bakaly	0.0708049
Mbeki	0.0707953
Li	0.070652
Weizman	0.0706368
Welch	0.0705905
pope	0.0705474
Robertson	0.070514
"William Walker"	0.0704491
Putin	0.0704269
McCaffrey	0.0703759
"Bulent Ecevit"	0.0703077
Kinkel	0.070127
Klestil	0.0700922
Chung	0.0700673
Jackson	0.0700324
Greenspan	0.0694527
"Hans Blix"	0.0691285
Stoyanov	0.0690087
Berger	0.0689314
"Sergei Kiriyenko"	0.0688267
Kharrazi	0.0685297
"Scott Ritter"	0.068484
"United Nations Special Commission"	0.0684555
Chen	0.0681747
Carroll	0.0679269
Mudge	0.0679206
Cem	0.06791
"Mesut Yilmaz"	0.067909
Talbott	0.0678961
smith	0.0678288
"secretary of state"	0.0678012
Saddam	0.067747
Babbitt	0.0676855
Sampson	0.0676842
Howard	0.0676257
Chirac	0.0676102
Peres	0.067437
Qian	0.0673808
LaBella	0.0673733
Milutinovic	0.0673705
Robinson	0.0673258
"Yevgeny Primakov"	0.0673135
Koirala	0.0672987
"Ehud Barak"	0.067112
Wright	0.0670642
Vajpayee	0.0669928
"U.N. Special Commission"	0.0669871
"Justice Department"	0.0667723
Solana	0.0667215
Kiriyenko	0.0667161
Chretien	0.0667157
Cook	0.0666494
Alatas	0.0665532
Hashimoto	0.0662308
"Atal Bihari Vajpayee"	0.0661746
Erbakan	0.0661012
Kohl	0.066084
Lukashenko	0.0660739
chief	0.066062
Indyk	0.0660506
McCurry	0.0659854
"Viktor Chernomyrdin"	0.065807
Vedrine	0.0657803
"Hun Sen"	0.0656815
Hersh	0.0656118
Skuratov	0.0655782
Clerides	0.0654841
Mubarak	0.0654033
Lim	0.0650726
Dini	0.065058
Governor	0.0649488
Eisner	0.0646944
Garcetti	0.0645828
Jiang	0.0645166
Estrada	0.0643674
Hastert	0.0642168
"Bill Richardson"	0.0642097
Santer	0.0642091
Zeng	0.0641176
Wolfensohn	0.0640847
Prodi	0.0638705
Taylor	0.0638096
"Nawaz Sharif"	0.0637348
Anwar	0.0636336
"Robert Rubin"	0.0635925
Danforth	0.0635631
Mayor	0.0634506
Obuchi	0.0633887
secretary	0.0633501
Cisneros	0.0632705
Camdessus	0.0632601
"Janet Reno"	0.063259
Surin	0.0632418
Gowda	0.0632209
"John Howard"	0.063201
Kulikov	0.0630479
Milosevic	0.0630116
Caddell	0.0629443
Barshefsky	0.0628704
Scalfaro	0.0628489
Castro	0.0627745
Giuliani	0.0627018
Qiao	0.0625233
Seleznyov	0.0625102
Bennett	0.0624548
Miller	0.0623994
Helms	0.0623938
lawyer	0.0623228
Kabila	0.0622781
Moratinos	0.062152
Burleigh	0.0621486
Kendall	0.0621233
Ruff	0.0620818
"cabinet minister"	0.0620389
Ivanov	0.0619968
Daley	0.061992
Jospin	0.0619612
Powell	0.0619604
"Kenneth Starr"	0.0619384
Habibie	0.0619221
Gadhafi	0.0618875
commission	0.061817
"Jonas Savimbi"	0.0618104
Bloch	0.0617565
"finance minister"	0.0617375
Graham	0.0616334
Menem	0.0616109
Joklik	0.0615436
))
(butt (desc 22801.4) (sims
ass	0.174205
"rear end"	0.0981307
backside	0.0956755
thigh	0.0789539
tail	0.0749012
expletive	0.0748823
shoulder	0.0686654
buttock	0.0685671
"rifle butt"	0.0664721
muzzle	0.066258
stomach	0.0650385
wrist	0.0643774
hip	0.0628049
leg	0.0624232
gut	0.0603573
belly	0.0603568
neck	0.0591476
shin	0.0589585
rib	0.0587412
elbow	0.0582849
"baseball bat"	0.0580158
Sirloin	0.0569922
finger	0.056639
toe	0.0555903
chest	0.0551904
nose	0.0551163
Hammer	0.0548056
forearm	0.0545062
ear	0.0537753
"right hand"	0.0525082
breast	0.0513781
fist	0.0512093
Chin	0.0505371
teeth	0.0503923
knee	0.0503424
cheek	0.0484723
abdomen	0.0481169
groin	0.0478313
helmet	0.0475837
em	0.0473837
lip	0.0469607
forehead	0.0459598
ankle	0.0459062
mouth	0.0455159
jaw	0.0444291
crotch	0.0442295
Foot	0.0439229
rod	0.0435806
limb	0.0432311
"left hand"	0.0431824
ballgame	0.0431659
tails	0.0431182
biceps	0.0428245
idiot	0.0427268
torso	0.0425529
scalp	0.0422009
tongue	0.0421449
thumb	0.0419719
Loin	0.0412995
Sledgehammer	0.0412389
puck	0.0412324
brain	0.0410286
hair	0.0407596
throat	0.040706
calf	0.0406687
genital	0.0403297
shovel	0.0400208
pocketbook	0.0400021
))
(Butte (desc 1587.63) (sims
Missoula	0.154864
Helena	0.111233
Whitefish	0.0954334
ibis	0.0703003
Libby	0.0690807
"clock tower"	0.0624293
Carthage	0.061374
Skiles	0.059238
Lewiston	0.0583102
mil	0.0520641
"New Carissa"	0.0485257
scaffold	0.0458731
Baalbek	0.0457539
Samara	0.0433734
Valparaiso	0.0430706
Alves	0.0430633
Danner	0.0422744
eyesore	0.0418626
Stockbridge	0.0417838
Hindenburg	0.0416184
steeple	0.0414121
Pompeii	0.0413165
"Fairfax County"	0.0408877
flagpole	0.0408616
Nakata	0.0408501
Colosseum	0.0406828
"Space Needle"	0.0406
))
(butter (desc 47883) (sims
"olive oil"	0.336246
"lemon juice"	0.297893
margarine	0.290705
sugar	0.265844
"vegetable oil"	0.256297
vinegar	0.252646
flour	0.249315
"brown sugar"	0.244852
salt	0.242962
cheese	0.239479
Garlic	0.235846
"egg yolk"	0.233912
mustard	0.231383
onion	0.230957
"sour cream"	0.228199
mayonnaise	0.225894
"cream cheese"	0.224527
sauce	0.223536
vanilla	0.223158
buttermilk	0.222406
shortening	0.221339
cornstarch	0.218829
cream	0.216505
milk	0.214797
"lime juice"	0.211641
"soy sauce"	0.20626
honey	0.204504
egg	0.201007
"heavy cream"	0.198302
parsley	0.197192
"egg white"	0.194335
chocolate	0.190491
"orange juice"	0.18798
yogurt	0.184606
mixture	0.183447
shallot	0.182958
crumb	0.181415
"peanut butter"	0.1767
half-and-half	0.176645
"evaporated milk"	0.176575
broth	0.176097
pecan	0.174842
pepper	0.174213
tomato	0.173581
cilantro	0.172775
juice	0.171266
seasoning	0.169863
cornmeal	0.167902
ginger	0.16675
raisin	0.165387
potato	0.164867
"lemon zest"	0.163506
"cottage cheese"	0.162194
Liquid	0.16208
"baking powder"	0.161468
"corn syrup"	0.161417
Basil	0.161258
"maple syrup"	0.16079
syrup	0.160055
molasses	0.159977
bread	0.159195
"orange zest"	0.158856
puree	0.157546
oil	0.157391
cinnamon	0.157099
"coconut milk"	0.156062
"pine nut"	0.155317
almond	0.155167
meat	0.151039
thyme	0.150431
"tomato sauce"	0.149812
lard	0.149765
"goat cheese"	0.1495
"Worcestershire sauce"	0.149167
bacon	0.148375
"sesame oil"	0.146744
ketchup	0.145654
lemon	0.145473
vinaigrette	0.144747
chive	0.144162
pasta	0.143977
"tomato paste"	0.143871
"condensed milk"	0.143739
"peanut oil"	0.143005
spice	0.141961
"whipping cream"	0.141047
"chili powder"	0.140774
mushroom	0.139804
fraiche	0.13907
powder	0.138489
"cider vinegar"	0.138411
"wine vinegar"	0.138342
paste	0.138303
paprika	0.137758
coconut	0.137457
olive	0.137168
nutmeg	0.137133
oregano	0.136795
"almond extract"	0.136655
"whipped cream"	0.136456
vegetable	0.136334
"white wine"	0.136227
Parmesan	0.136049
chicken	0.135505
walnut	0.134853
yolk	0.134794
cumin	0.134265
"green onion"	0.133685
"chicken stock"	0.133584
sherry	0.13353
"blue cheese"	0.133492
bean	0.131587
nut	0.131466
tarragon	0.131178
"baking soda"	0.13108
rum	0.128486
marinade	0.12768
pineapple	0.126843
horseradish	0.126668
jelly	0.126629
rosemary	0.126202
"chicken broth"	0.126081
liqueur	0.125653
fat	0.124915
"black pepper"	0.124814
chutney	0.124709
scallion	0.124534
sausage	0.124523
"ice cream"	0.124517
"vanilla extract"	0.123772
raspberry	0.123439
cayenne	0.123259
dressing	0.123222
hazelnut	0.122782
"red pepper"	0.12267
"sesame seed"	0.122364
celery	0.122304
noodle	0.122131
spinach	0.121303
ham	0.121114
mint	0.120859
gelatin	0.119721
herb	0.119489
carrot	0.119324
dill	0.119245
dough	0.118899
glaze	0.118269
pesto	0.117767
tofu	0.116606
caramel	0.116253
cocoa	0.116246
soup	0.116246
ingredient	0.115694
"cayenne pepper"	0.115586
"curry powder"	0.115019
ricotta	0.115018
marshmallow	0.114159
"bay leaf"	0.113969
fruit	0.112949
pork	0.112493
"orange peel"	0.111277
peppercorn	0.111122
"bell pepper"	0.110962
shrimp	0.110483
tortilla	0.110199
marjoram	0.109159
leek	0.109147
custard	0.109142
clove	0.108027
lentil	0.107856
"cooking oil"	0.107147
zucchini	0.106803
tablespoon	0.106732
yeast	0.106699
eggplant	0.106085
biscuit	0.106034
caper	0.105325
asparagus	0.105144
lime	0.104989
rice	0.104335
coffee	0.103337
water	0.103215
cake	0.102499
breadcrumb	0.102186
tahini	0.102096
berry	0.101965
slice	0.101916
cucumber	0.101778
pastry	0.101592
"pineapple juice"	0.101487
"red onion"	0.101219
cabbage	0.10104
"chili sauce"	0.100684
"skim milk"	0.100662
"vanilla bean"	0.100626
corn	0.100498
"orange marmalade"	0.100299
skillet	0.0998119
flake	0.0997439
"barbecue sauce"	0.099553
))
(Butterfield (desc 1541.29) (sims
Allchin	0.0907162
Colburn	0.0892043
Wolfson	0.0857294
Farber	0.0835057
Hamlin	0.0815404
Okada	0.079305
Calloway	0.0786057
Edelstein	0.0780315
Harrell	0.0772347
"U.S. Soccer Federation"	0.0770855
Schmalensee	0.0740309
Ratner	0.0728783
Fitch	0.0727258
Neilson	0.0723571
Sapp	0.0719925
Sato	0.0711206
Jorgensen	0.070711
Wada	0.0706164
Weil	0.0697996
Musa	0.0677511
Darnell	0.0676933
"Israeli Foreign Ministry"	0.0671922
Poole	0.0670022
Bowles	0.0660818
Harman	0.0657343
Kornberg	0.065446
Lawson	0.0653801
Myhrvold	0.0651233
Hazen	0.0645055
Beasley	0.0643769
Rodionov	0.0643108
Najera	0.0638498
Christie's	0.0637498
Maritz	0.0635711
Rosenthal	0.0634372
Margolis	0.0632726
Schuerholz	0.0626892
Quintero	0.0626637
Bloch	0.0625711
Havelange	0.0625304
ITF	0.062279
Tillman	0.0620496
Tevanian	0.06124
Eubanks	0.0609727
Ingram	0.0609727
Ivey	0.0606485
Turetzky	0.0604924
DFB	0.0600013
McCurry	0.0599932
"British Foreign Office"	0.059986
Barksdale	0.0598724
Pennington	0.0597604
Osborne	0.0596785
Zou	0.0596109
Kurtz	0.059508
Berman	0.0591429
Herrera	0.0587055
Frankenheimer	0.0583785
nance	0.0583536
"Wireless HKT"	0.0582522
Greenwald	0.0581987
Grossman	0.0580362
O'Reilly	0.0580147
Padilla	0.0578102
McGowan	0.0577737
Halberstam	0.0576784
Mullen	0.0574072
"M University"	0.0571904
Logue	0.0570515
Samuelson	0.0569807
Herta	0.0568899
Chappell	0.0568687
McElroy	0.0567662
Jensen	0.0565649
Gatling	0.0565288
Farnsworth	0.056471
Biggs	0.056107
Finkel	0.0560182
Rossi	0.0558414
Godwin	0.0556549
Eastwood	0.0555495
Timlin	0.0555399
Wiatt	0.0553967
Kopp	0.0553444
Byers	0.0551806
Betts	0.0550621
AOC	0.0549939
decker	0.0549681
Rudenstine	0.0548698
Nunn	0.0547588
Weisman	0.0547261
Parris	0.0546161
Kay	0.0544726
Cao	0.0544186
STALEY	0.0542673
Skiles	0.0540841
CPAFFC	0.0540445
"one of the boys"	0.0540237
"French Foreign Ministry"	0.0531602
EBRD	0.0531402
PITTS	0.0531019
Bassett	0.0530167
Pearce	0.0528644
Pelosi	0.0526639
Seanez	0.0525611
NHTSA	0.0525424
Felton	0.052452
Gardiner	0.0523868
SDB	0.0522583
Carlson	0.0521861
Mullins	0.05198
Phelps	0.0519466
Edmondson	0.0519295
Groening	0.0518882
Jacobsen	0.051559
Hanley	0.0514616
Saatchi	0.0513026
Gomes	0.0512952
Rawabdeh	0.0511158
Segal	0.0510706
Platt	0.0510042
"Wine Institute"	0.0509456
Stahl	0.050706
Lawton	0.0507026
Runyan	0.0506576
Corsi	0.0506301
Iglesias	0.0505864
"National Sports Council"	0.0505328
Saunders	0.0504852
CCPIT	0.050415
Wendell	0.0503817
Boller	0.050281
Stacy	0.0502091
DERSHOWITZ	0.0502028
Shulman	0.0501485
Hobson	0.0501216
Lari	0.0500911
ISSEL	0.05007
Gorman	0.0500363
Polian	0.050007
Williamson	0.0499841
O'Neil	0.0499821
Spector	0.0499212
Briscoe	0.04979
Rowan	0.0497819
Ono	0.0497305
Wesson	0.049688
LeBlanc	0.0496639
Webster	0.0495573
Nash	0.0495541
Greenfield	0.0495299
Dunne	0.0495258
McKenzie	0.0494504
Sahadi	0.049442
Sealy	0.049416
Kohn	0.0493747
OCA	0.0493363
Troussier	0.0493338
Passarella	0.0492624
Walesa	0.0491545
Horne	0.0490671
Sobel	0.0489791
Bryson	0.0489619
Lowry	0.0487271
O'Connell	0.0487157
Nolan	0.0486962
Spalding	0.048689
Katsav	0.0485999
Wetherell	0.0485775
McGrath	0.0485701
Bogle	0.0484714
Chrissie	0.0484604
Whyte	0.0484419
Jeffers	0.0484374
hodgson	0.0484105
Reichel	0.0483899
Dickinson	0.0483758
Tanaka	0.0483392
Callaway	0.0483215
Foxx	0.0482948
Holloway	0.0482769
Zarb	0.0482397
O'Hara	0.0482011
Ziegler	0.0481533
Orosco	0.0480966
McCarron	0.0480951
Ashley	0.0480785
Sanan	0.0480184
Downey	0.0479987
McCombs	0.0479312
DiCicco	0.0479006
Forrest	0.047886
Meggett	0.0478835
Abdur-Rahim	0.0477317
UNAMET	0.0477131
Jacobson	0.0476921
Rook	0.0476794
Braswell	0.0476418
Wolff	0.0475567
Perdue	0.0475525
))
(butterfly (desc 38083.3) (sims
breaststroke	0.319826
backstroke	0.317406
freestyle	0.279351
medley	0.24621
relay	0.186218
hurdle	0.123817
bird	0.11584
insect	0.114147
"long jump"	0.111708
steeplechase	0.106367
men's	0.105565
"pole vault"	0.105541
scull	0.104508
Heptathlon	0.103888
"shot put"	0.103843
preliminary	0.101142
moth	0.101006
"hammer throw"	0.0985504
dragonfly	0.0972636
"high jump"	0.096667
mammal	0.0965548
slalom	0.0950077
im	0.0933621
turtle	0.0926975
"world record"	0.0915317
"monarch butterfly"	0.0911379
springboard	0.0902587
snake	0.0885277
mosquito	0.0881462
marathon	0.0854916
Super-G	0.085095
animal	0.0840486
ant	0.0826065
sprint	0.0823851
"clean and jerk"	0.0799559
javelin	0.0795846
reptile	0.078796
snatch	0.0787555
prelim	0.0786723
epee	0.0783809
decathlon	0.0781234
frog	0.0778124
medal	0.0777047
monkey	0.0775944
flower	0.0766861
orchid	0.0762743
hummingbird	0.07536
bee	0.0752614
spider	0.0752535
event	0.0748893
fish	0.0747619
amphibian	0.0746576
beetle	0.0741247
Primate	0.0740479
deer	0.0739974
rodent	0.0735928
wildlife	0.0724515
lizard	0.0712188
specie	0.0703081
sturgeon	0.0702493
Dinosaur	0.070012
"Atlanta Olympics"	0.0694199
final	0.0689314
gold	0.0686475
"giant panda"	0.0683123
"ski jumping"	0.0672058
elephant	0.0669174
salamander	0.0668401
crustacean	0.0665173
"Asian Games"	0.0662106
creature	0.0661517
WASP	0.0655086
downhill	0.0654044
whale	0.0653048
championship	0.0651253
weightlifting	0.0636781
relays	0.0636205
crocodile	0.0634659
swimming	0.0633358
"sea turtle"	0.0622249
volleyball	0.061794
badminton	0.0617151
diving	0.061561
swan	0.0607929
"rare bird"	0.060734
iguana	0.0606963
medallist	0.0606049
owl	0.0606009
"World Championships"	0.0603345
parrot	0.0602253
Skating	0.0599318
semifinal	0.0598078
wildflower	0.0597615
pistol	0.0595797
worm	0.0592165
rabbit	0.0592065
dressage	0.0591544
bronze	0.0588533
dash	0.0588398
pigeon	0.0584862
larvae	0.0584367
waterfowl	0.0575997
"pommel horse"	0.0575716
Gymnastics	0.0571268
bug	0.0563642
alligator	0.0563185
tiger	0.0562986
medalist	0.056195
honeybee	0.0561378
tulip	0.0559301
rat	0.0558576
fossil	0.0557663
panda	0.0556752
"cross country"	0.055508
"field hockey"	0.0553619
discus	0.0552286
pig	0.0551345
"European Cup"	0.0549889
seabird	0.0548269
eagle	0.0546428
"bald eagle"	0.054588
geese	0.0543863
swimmer	0.0543711
trout	0.0543316
heat	0.0543198
ibis	0.0542281
archery	0.0540868
manatee	0.053957
mice	0.0539414
"Fed Cup"	0.053715
snail	0.0535533
"figure skating"	0.0535467
rhino	0.0535147
triathlon	0.053393
abalone	0.0533367
toad	0.0530932
"World Cup"	0.0530573
sparrow	0.052681
locust	0.0526086
critters	0.0524701
biathlon	0.0523437
duck	0.0519471
lantern	0.051877
flea	0.0518584
"Australian Open"	0.0518155
"Olympic Games"	0.0517732
doubles	0.0514501
"Grand Prix"	0.0512877
crown	0.0512086
mite	0.0511562
judo	0.0511066
peony	0.0510071
songbird	0.0508623
crow	0.0508024
flora	0.0506864
"domestic animal"	0.0505969
leaf	0.0502731
skiing	0.0501294
foliage	0.0499953
egret	0.0499708
"table tennis"	0.0499692
"fruit fly"	0.0499434
tournament	0.0498829
"U.S. Open"	0.0497686
dragon	0.0497686
bunny	0.0497044
"Commonwealth Games"	0.0497021
"Atlanta Olympic Games"	0.0493017
CAT	0.0492831
tree	0.0491837
"US Open"	0.0490306
"New York City Marathon"	0.0490173
"Western Conference"	0.0490161
cycling	0.048982
"Goodwill Games"	0.0489614
horse	0.048908
"gray whale"	0.048854
rhinoceros	0.0488539
bat	0.0488427
"track and field"	0.0487885
Firefly	0.0487202
"French Open"	0.0485734
trophy	0.0484069
"European Championships"	0.048296
shark	0.0482009
dolphin	0.0481441
sheep	0.0481146
silver	0.0480557
Condor	0.0480217
ribbon	0.0478554
scorpion	0.0477614
specimen	0.0477451
fern	0.0477296
cormorant	0.0475811
carp	0.0475618
chimpanzee	0.0475189
gorilla	0.047517
Olympics	0.0474446
kayak	0.0472137
antelope	0.0472055
))
(buttermilk (desc 7240.64) (sims
"sour cream"	0.349773
half-and-half	0.325382
"heavy cream"	0.30396
"evaporated milk"	0.303508
"brown sugar"	0.298348
"egg yolk"	0.274513
cornmeal	0.263835
"lemon juice"	0.259257
"whipping cream"	0.25709
"cottage cheese"	0.252984
"coconut milk"	0.251226
mayonnaise	0.248721
"corn syrup"	0.244972
yogurt	0.24168
"vegetable oil"	0.239311
milk	0.236603
flour	0.236552
"peanut oil"	0.231482
vinegar	0.23072
"orange juice"	0.230051
"lime juice"	0.229815
"chicken stock"	0.228201
"cider vinegar"	0.227888
"chicken broth"	0.226368
butter	0.222406
"soy sauce"	0.220714
cornstarch	0.218901
vanilla	0.217802
"peanut butter"	0.217449
"skim milk"	0.211806
"cream cheese"	0.211159
cider	0.20827
shortening	0.20556
"olive oil"	0.203428
"egg white"	0.201904
mustard	0.199558
margarine	0.196666
sugar	0.194473
"maple syrup"	0.193301
"white wine"	0.185769
pecan	0.185642
"wine vinegar"	0.184694
"baking powder"	0.184296
raisin	0.182194
ricotta	0.179707
crumb	0.179515
"pineapple juice"	0.179237
"Worcestershire sauce"	0.177247
molasses	0.176977
tahini	0.176544
ketchup	0.176536
cream	0.17295
"tomato paste"	0.171424
honey	0.171332
rum	0.169264
yolk	0.169193
cheese	0.168464
"pine nut"	0.166673
"tomato juice"	0.166291
salt	0.164396
cinnamon	0.163845
coconut	0.163138
"chili sauce"	0.162205
onion	0.160522
"beef broth"	0.159475
broth	0.157092
"orange zest"	0.156337
fraiche	0.155686
parsley	0.15333
"lemon zest"	0.153304
"almond extract"	0.152581
"hoisin sauce"	0.151872
"apple juice"	0.150972
panko	0.150738
"condensed milk"	0.150601
puree	0.149991
almond	0.149107
"baking soda"	0.147447
cocoa	0.14675
"tomato sauce"	0.145467
lard	0.144741
breadcrumb	0.141325
"orange marmalade"	0.140841
shallot	0.140266
"sesame oil"	0.139306
"chili powder"	0.13857
blueberry	0.13856
"Grand Marnier"	0.138308
sherry	0.137076
cilantro	0.136449
juice	0.135879
oatmeal	0.135306
nutmeg	0.133981
gelatin	0.133074
"macadamia nut"	0.132858
"curry powder"	0.132733
chocolate	0.132278
egg	0.132112
Basil	0.13197
syrup	0.131544
Garlic	0.130437
powder	0.12919
applesauce	0.12804
"whipped cream"	0.127832
granola	0.127677
"ice water"	0.125741
raspberry	0.125727
"lemon peel"	0.125686
walnut	0.125533
liqueur	0.125027
"beef stock"	0.124112
"sesame seed"	0.123244
cumin	0.123091
"dried fruit"	0.12291
"green onion"	0.122523
Parmesan	0.122297
paprika	0.121973
sauce	0.120875
seasoning	0.120172
"salad dressing"	0.119932
"cake mix"	0.119277
ginger	0.119027
chutney	0.119017
"cooking oil"	0.118692
yeast	0.118592
Liquid	0.118477
jelly	0.118137
"red wine"	0.117612
bourbon	0.117574
matzo	0.116858
lemon	0.116552
pumpkin	0.116482
currant	0.116159
pepper	0.11568
apricot	0.115103
custard	0.114784
chive	0.114554
"vanilla extract"	0.114139
"powdered milk"	0.114018
marshmallow	0.113668
"barbecue sauce"	0.113661
pineapple	0.113245
spice	0.113005
Calvados	0.11288
hazelnut	0.11237
vinaigrette	0.111456
blackberry	0.111452
"vanilla ice cream"	0.111173
horseradish	0.110806
"blue cheese"	0.110684
"dairy product"	0.110373
"fruit juice"	0.110355
mint	0.110012
peppercorn	0.109727
"orange peel"	0.108333
oat	0.107852
"cayenne pepper"	0.107479
thyme	0.107155
nut	0.107126
polenta	0.107095
tarragon	0.106775
bread	0.106399
oregano	0.105875
tomato	0.104134
"white rice"	0.104034
"cheddar cheese"	0.103889
"frozen yogurt"	0.103739
lentil	0.103362
scallion	0.102961
mixture	0.10277
"vanilla bean"	0.10218
florets	0.102092
dill	0.101692
"ice cream"	0.10139
marinade	0.101078
"pepper sauce"	0.101055
mascarpone	0.100634
"red pepper"	0.100361
"black pepper"	0.0998577
"food coloring"	0.0998569
espresso	0.0992936
miso	0.0992631
tapioca	0.0984739
"hot sauce"	0.098186
"poppy seed"	0.0980146
strawberry	0.0976322
cayenne	0.097328
vermouth	0.0972822
dressing	0.0971499
mango	0.0970159
brandy	0.0968
paste	0.0966034
"green tea"	0.096181
soda	0.095642
low-fat	0.0951151
vodka	0.095037
pistachio	0.0949225
croutons	0.0940926
biscuit	0.0940618
lettuce	0.0940009
))
(butterscotch (desc 1233.49) (sims
toffee	0.186589
fudge	0.17475
praline	0.171135
"peanut butter"	0.102042
"Makes @"	0.0999337
custard	0.0933719
Icebox	0.0907593
peppermint	0.090225
ricotta	0.087185
"Makes @@"	0.0860995
coconut	0.0785966
crunchy	0.0768657
"sweet corn"	0.0751584
pistachio	0.075101
hazelnut	0.0750451
"sweet potato"	0.075039
pecan	0.0747415
meringue	0.0715598
persimmon	0.0713146
shortbread	0.0703446
teriyaki	0.0702018
Chipotle	0.0695294
morel	0.0677055
"sour cream"	0.0676343
"bittersweet chocolate"	0.066411
wasabi	0.066385
Roquefort	0.0647086
breadcrumb	0.0642928
apricot	0.0641873
brownie	0.0628405
"chocolate chip cookie"	0.0627151
Souffle	0.0621901
"M&AMP;M"	0.0613283
RAMBUS	0.0610579
soya	0.0608802
miso	0.0601485
buttermilk	0.0597673
gingerbread	0.0597597
periwinkle	0.0597437
GUAVA	0.0595733
"chocolate mousse"	0.0594072
"macadamia nut"	0.05905
ALFREDO	0.0590004
BLUETOOTH	0.0584897
taffeta	0.0580146
Transmeta	0.0579849
cinnamon	0.0579328
substituting	0.0578719
oatmeal	0.057147
oreo	0.056241
cornmeal	0.0559257
"about @/@ cup"	0.054705
MOCHA	0.0542524
Cyrix	0.0539649
plantain	0.0539631
Madeira	0.0539541
nacho	0.0536912
IC	0.0536498
bruschetta	0.0533538
enchilada	0.0528536
"vanilla bean"	0.0527574
tomatillo	0.0523301
COBBLER	0.0522882
soy	0.0518915
Masa	0.051333
cheesecake	0.0513205
cranberry	0.0506733
tofu	0.0503679
Jell-O	0.0503227
dram	0.0496955
brioche	0.0492669
mem	0.0491323
Eskimo	0.0491287
hickory	0.0489434
"M&AMP;Ms"	0.0488874
olestra	0.0488723
toasty	0.0487805
cornbread	0.048319
aqua	0.0476267
Tamarind	0.0474094
sundae	0.0471225
gourmet	0.0471155
"Dairy Queen"	0.0468907
"black bean"	0.0461407
gingham	0.0459567
sesame	0.0459517
cornstarch	0.0451608
slinky	0.0451441
mousse	0.0450842
"dark blue"	0.0449083
"Pepperidge Farm"	0.0448957
"about @ tablespoons"	0.0447262
bourbon	0.0444209
risotto	0.0432542
chintz	0.043233
meatloaf	0.0431285
A-@	0.0428151
SUI	0.0424782
Tiki	0.0417403
"royal blue"	0.0417031
blackberry	0.0410304
Parmesan	0.0408291
dandelion	0.0407272
x@@	0.0401908
licking	0.0400352
))
(Butterworth (desc 1084.25) (sims
Rubenstein	0.155297
Finkel	0.149824
Larson	0.139581
Satcher	0.137507
Hybl	0.135714
Arbour	0.134445
McGuire	0.132335
Loeb	0.130451
Fleischer	0.129761
Copeland	0.129723
Cowan	0.129723
Grasso	0.124395
Waxman	0.121499
Boles	0.119853
Sharma	0.118705
Meissner	0.117858
Moakley	0.116134
Hallinan	0.116081
Rutherford	0.115988
Capps	0.115418
Reinhardt	0.114674
Gullikson	0.113209
Coen	0.111992
Lessig	0.111562
Hynes	0.110505
Barshefsky	0.110424
Piot	0.110386
Ogata	0.110192
Koskinen	0.109388
Hayworth	0.10857
Hardy	0.107499
Nadler	0.10749
Lockyer	0.107304
Bildt	0.107209
Ainge	0.107188
Rossotti	0.106529
Quintana	0.104997
Duffy	0.103955
Eizenstat	0.102706
Hahn	0.102515
Pollack	0.101457
McLaughlin	0.101208
Okada	0.101196
Heinrichs	0.100732
Hayden	0.10051
Weisman	0.10035
Burleigh	0.0999914
Devine	0.0991519
Dempsey	0.0986205
Singson	0.0984716
Mustafa	0.0980954
Ulrich	0.0980348
Shamshad	0.0979898
D'Alessandro	0.0977021
Ashrawi	0.097068
Soto	0.0964734
Ruehe	0.0959569
"De la Cruz"	0.0957372
Bustamante	0.0955535
Silverstein	0.0955296
Lehane	0.0954438
Bergeron	0.0949837
Cao	0.0946379
TALBOT	0.0945651
Tuberville	0.0942173
McCurry	0.0941122
Zwick	0.0940928
Simons	0.0939941
Maslyukov	0.0939461
Ebersol	0.0938031
Markey	0.093215
Markovic	0.09281
Hevesi	0.0922558
Reiner	0.0920831
Mullen	0.0919606
Madden	0.0917682
Baugh	0.091679
Iglesias	0.0915067
Babcock	0.0912192
Moonves	0.0911288
Kern	0.0911096
Engelberg	0.0909355
MURTHA	0.0908489
Ikimi	0.0904862
Deutsch	0.090484
Jayakumar	0.090439
Jaffe	0.0902326
Lawler	0.0897373
Rosenthal	0.0895735
Wolfson	0.0895217
Mehta	0.0893924
Hyman	0.0893534
Hiett	0.0891523
Solich	0.0888768
Henley	0.0888196
Passarella	0.0888091
Broaddrick	0.0887658
Mandella	0.0887046
Velayati	0.0886168
Samuelson	0.0884502
Kyprianou	0.0884382
Allard	0.0881096
Solis	0.0880906
Bratton	0.0879966
Rosenberg	0.0879237
hodgson	0.0875801
Brandt	0.0875645
Bettman	0.0869399
Grimes	0.0868258
Leahy	0.0866006
Advani	0.086292
Whaley	0.0862107
Zuckerman	0.0859749
Prewitt	0.0859675
Valenti	0.0859355
COYNE	0.0857775
Verniero	0.0857523
"administration official"	0.0856013
Shapiro	0.0853403
Gorman	0.0848735
Talebi	0.0847594
Rothenberg	0.0846875
Fink	0.0845903
Jovanovic	0.084489
"Bank of Korea"	0.0843764
Westendorp	0.0842052
McDaniel	0.0841355
"David Jones"	0.0840879
Golding	0.0840353
Rylander	0.0840031
Pittman	0.0838148
Zeng	0.0836936
Krugman	0.0836198
Insulza	0.0834988
Difrancesco	0.0828398
Flanagan	0.082796
Paxon	0.0826748
Sobel	0.0826464
Soriano	0.0825912
Erwin	0.0825411
Billick	0.0823608
Bellush	0.0818986
Grossman	0.081783
Siegel	0.0817592
Harkin	0.0817389
Mott	0.081682
Morgenthau	0.0815794
Kyl	0.0815497
Galvin	0.0814948
Durant	0.0811497
Tomlin	0.0811015
Sather	0.0808969
Shriver	0.0808369
Camdessus	0.0808321
Tagliabue	0.080596
Weil	0.0805746
Muckler	0.0802562
Polian	0.0802158
Roski	0.0802093
Behr	0.079795
Lundberg	0.0796228
Lau	0.0794957
Condon	0.0792158
"Tom Johnson"	0.0792005
Sorensen	0.0791847
Cleland	0.0791617
Naumann	0.0790756
Barron	0.078991
Cota	0.0788757
Ganassi	0.0788238
Surin	0.0787172
Rudenstine	0.0786276
GAGE	0.0786188
Xiang	0.0785059
Kennelly	0.0784819
Mercado	0.0784761
krueger	0.078383
Ferrer	0.0783622
Chenoweth	0.0783546
Zarb	0.0783201
Siazon	0.0780038
Bochy	0.0778364
Diouf	0.0777517
Barlow	0.0776426
Barrett	0.0776382
McCullough	0.0776331
Andreychuk	0.0772386
Atwood	0.0770889
Berman	0.0768271
Poole	0.0768014
Schmidt	0.0767937
Morse	0.076789
Inman	0.0767253
McCartney	0.0765259
Hickman	0.0764867
Dunham	0.0764812
Goldin	0.0763826
Aquino	0.0762812
Newcombe	0.0761198
Caddell	0.0760202
))
(buttock (desc 6213.62) (sims
abdomen	0.211994
thigh	0.206777
"rib cage"	0.196542
forearm	0.170603
groin	0.148236
stomach	0.144573
quadriceps	0.142853
torso	0.142488
sternum	0.136775
midriff	0.136333
chest	0.135356
wrist	0.134705
pelvis	0.133866
genital	0.133132
hip	0.12708
calf	0.125726
breast	0.12308
shoulder	0.118252
crotch	0.117909
neck	0.116619
belly	0.114839
triceps	0.114155
elbow	0.113827
biceps	0.111856
shin	0.106374
forehead	0.104032
hamstring	0.102546
kneecap	0.101475
knee	0.101053
ankle	0.100795
rib	0.0994409
"achilles tendon"	0.0991588
jaw	0.0982419
lung	0.0976338
flexor	0.0972565
spine	0.0955634
waist	0.0948803
eyelid	0.0946728
vagina	0.0937243
armpit	0.0932512
genitalia	0.0915187
derriere	0.0891124
"shoulder blade"	0.0888243
cervix	0.0867083
"rear end"	0.0866083
drumstick	0.0848707
backside	0.0827875
Achilles	0.0802902
ACL	0.0791491
thumb	0.0768296
prostate	0.0764593
extremity	0.0757206
upper	0.0756287
collarbone	0.0754361
femur	0.0753581
lip	0.0753214
toe	0.0748404
cuff	0.07455
testicle	0.0742898
"private parts"	0.0741547
"right hand"	0.0733508
throat	0.0731376
tummy	0.0726847
cheek	0.0725444
"ring finger"	0.0717334
ovary	0.0710184
cheekbone	0.0708569
muscle	0.0708247
butt	0.0685671
uterus	0.0678387
"pubic hair"	0.0675726
tendon	0.0673183
"left hand"	0.0670013
back.	0.0667615
Quad	0.0663949
"index finger"	0.0661187
finger	0.0656528
ear	0.0651694
nostril	0.0649282
navel	0.0633313
nose	0.063214
ligament	0.0626612
nipple	0.0624428
"eye socket"	0.061468
colon	0.0588454
pinkie	0.0585142
bladder	0.0584837
"spinal cord"	0.0581874
forefinger	0.0580984
"middle finger"	0.0580771
tibia	0.0577952
liver	0.0575663
Chin	0.0554553
"lymph node"	0.0553893
eyeball	0.0553856
skull	0.0548724
kidney	0.0547944
contusion	0.0542987
limb	0.0535881
toenail	0.0528174
knuckle	0.0526992
"leg bone"	0.0521316
larynx	0.0520214
tail	0.051808
laceration	0.0511988
scalp	0.0505982
pocketbook	0.0505402
fist	0.050487
"little finger"	0.0500726
abrasion	0.049992
paw	0.0496615
"two hands"	0.0487165
"vocal cord"	0.0485936
bosom	0.0485692
sleeve	0.048445
"neck brace"	0.0483605
rump	0.0473599
lobe	0.047125
rectum	0.0467508
denture	0.0467296
retina	0.0461383
Pinky	0.0458376
goalpost	0.0454254
esophagus	0.0450974
vertebrae	0.0446683
underside	0.0446467
"shoulder pad"	0.0444328
ABS	0.0442418
bum	0.043497
"brain stem"	0.0433104
fibula	0.0432669
sinus	0.0425111
"body part"	0.0423932
bustier	0.0419716
insides	0.0418075
clitoris	0.0415692
genitals	0.0409165
ass	0.0408624
womb	0.0402402
"face mask"	0.0402237
))
(button (desc 57854.5) (sims
sticker	0.111548
switch	0.10563
T-shirt	0.101446
knob	0.0932984
pin	0.0920165
poster	0.0896174
collar	0.0883789
logo	0.0876813
banner	0.0868883
keyboard	0.0863754
screen	0.085616
icon	0.0855596
ribbon	0.0849612
mouse	0.0836828
placard	0.0828967
shirt	0.0825493
lever	0.081535
box	0.0815212
"baseball cap"	0.0800321
sensor	0.0777851
badge	0.077433
card	0.0767382
hat	0.0761783
sleeve	0.0743228
device	0.0740613
dial	0.0736078
scarf	0.0727667
jacket	0.0725714
key	0.072332
camera	0.0718605
Zipper	0.0712213
flag	0.0708625
cap	0.070065
menu	0.0700408
click	0.0697813
shoe	0.0696817
lamp	0.0692418
streamer	0.0683457
billboard	0.0683209
plaque	0.0677231
feature	0.0673399
flower	0.0670847
pedal	0.0670287
keypad	0.0656665
vest	0.0653986
software	0.0653252
sunglasses	0.0648684
pad	0.0645379
pant	0.0639245
file	0.0636663
picture	0.0636017
accessory	0.063295
window	0.0631974
color	0.0630994
bead	0.0627303
Computer	0.0626997
folder	0.0626001
jewelry	0.062573
object	0.06257
strap	0.0625257
item	0.0624525
sweater	0.0623847
light	0.0623486
tab	0.0622785
cursor	0.0622615
"steering wheel"	0.062202
candle	0.0616102
skirt	0.0615107
toy	0.0614493
bracelet	0.0612083
microphone	0.0610771
envelope	0.0609629
tag	0.0608337
embroidery	0.060714
glass	0.0606735
patch	0.0606652
sweatshirt	0.0606032
pen	0.0605216
page	0.0603368
jersey	0.0603072
cloth	0.06018
advertisement	0.0600829
machine	0.0600239
"business card"	0.0600236
lapel	0.0600154
pocket	0.0598926
wheel	0.0598745
postcard	0.0596232
bag	0.0594991
hair	0.0594751
necklace	0.0594739
print	0.0592759
label	0.0591713
AD	0.059082
mirror	0.0589525
image	0.0589447
Coin	0.0588816
tool	0.0587947
piece	0.0583867
chip	0.0581338
photograph	0.0580096
map	0.0579023
cuff	0.0578889
stamp	0.0576493
ring	0.0574789
photo	0.0571444
helmet	0.0567401
modem	0.0567223
stripe	0.0565141
bunting	0.0564122
jean	0.0563431
clock	0.056065
timer	0.0559139
lock	0.0558148
frame	0.0557846
chair	0.0554848
display	0.0553329
clip	0.0553063
tile	0.0553014
monitor	0.0552688
finger	0.0551806
balloon	0.0551586
"control panel"	0.0551464
password	0.054993
dress	0.054968
graphics	0.0548993
trinket	0.0547871
phone	0.054618
coat	0.0545875
ball	0.0545845
belt	0.0545716
sock	0.0545248
tape	0.0544817
"bow tie"	0.0543746
glove	0.054095
scanner	0.0540689
tire	0.0540122
browser	0.0537724
bottle	0.0537711
uniform	0.0536679
marker	0.0536619
wristwatch	0.0536452
crosse	0.0535907
antenna	0.0535086
doll	0.053438
letter	0.0534223
dot	0.0533326
stuff	0.0532816
video	0.0532544
trouser	0.0531878
lantern	0.0531724
calculator	0.0529849
sheet	0.0529772
sandal	0.0529724
door	0.0529435
gadget	0.0528806
blouse	0.0528423
bulb	0.0528192
sneaker	0.0527562
detector	0.0524936
message	0.0523514
paint	0.0522199
option	0.0522022
hook	0.0521203
Clothing	0.0519675
feather	0.051961
boot	0.0519191
material	0.0518025
sequin	0.0517878
wig	0.0516394
gizmo	0.0516359
function	0.0515023
symbol	0.0514952
gauge	0.05146
vent	0.0514528
printer	0.0513596
turtleneck	0.0513478
earring	0.0512851
word	0.0512788
bra	0.0511942
seat	0.0511286
bar	0.0511132
CD	0.0510826
furniture	0.0510472
chart	0.0510205
copy	0.0507757
gear	0.0507183
slot	0.0506802
backpack	0.0505728
instrument	0.0505527
brake	0.0505221
slogan	0.0504225
arrow	0.050343
"air bag"	0.0501777
plate	0.0501062
Sash	0.0500492
lettering	0.0499738
table	0.0499457
mug	0.0499383
ornament	0.0498998
))
(Butyrskaya (desc 1851.56) (sims
Yagudin	0.231656
Kwan	0.208974
Sautin	0.169833
"Michelle Kwan"	0.140879
Ottey	0.140261
Godina	0.139062
Lipinski	0.138876
"Maria Butyrskaya"	0.138226
Devers	0.135141
Karpov	0.134404
Maier	0.131045
Roba	0.129715
Makinen	0.128897
Kjus	0.123686
"Elena Berezhnaya"	0.122875
"Sarah Hughes"	0.122371
Klim	0.122352
"Tara Lipinski"	0.121706
Tomba	0.118376
"Brooke Bennett"	0.117226
Popov	0.116516
Katsav	0.115361
Boldon	0.114624
Pippig	0.114579
Seizinger	0.114086
"Alexei Yagudin"	0.11403
Zanardi	0.112882
"Wang Yifu"	0.111422
Biffle	0.111304
Khannouchi	0.110592
Savon	0.10901
"Elvis Stojko"	0.108028
Kasparov	0.106575
"Regina Jacobs"	0.106246
"Todd Eldredge"	0.105502
Kipketer	0.104808
Sainz	0.103454
Hakkinen	0.101643
"Fatuma Roba"	0.100806
Meissnitzer	0.100345
Montoya	0.0991264
Ullrich	0.0988375
Krayzelburg	0.0984733
Kagwe	0.0982535
"Irina Slutskaya"	0.0976797
"El Guerrouj"	0.0968309
guo	0.0953664
Capriati	0.0952907
Xiong	0.0951926
Tanui	0.095149
"Li Jiajun"	0.09492
"Paul Tergat"	0.0948632
Nicol	0.0942406
"Van Roost"	0.0933439
Boardman	0.0927633
Taufik	0.0926918
Joyner-Kersee	0.0922339
Doohan	0.091844
Vasser	0.0916155
Kafelnikov	0.0915489
Atler	0.0906236
"Lasse Kjus"	0.090563
Kong	0.0902165
"Alexei Urmanov"	0.0896854
"Penny Heyns"	0.0896252
Sanchez-Vicario	0.088973
Majoli	0.0889526
Testud	0.0886455
Berasategui	0.0886162
Montalvo	0.0885531
Boilermakers	0.0884438
Pantani	0.0882639
"Svetlana Khorkina"	0.0881856
Cipollini	0.0880624
Thorpe	0.0879698
McRae	0.08746
Olano	0.0872516
"Jearl Miles-Clark"	0.0862189
"Answer Lively"	0.0858831
"Deon Hemmings"	0.0858068
Laperriere	0.0855859
Waltrip	0.0853055
Kuchar	0.0846534
Moreau	0.0842434
Goetschl	0.0842244
Thibault	0.0841613
AEK	0.0841557
Waldner	0.0841055
Harding	0.0838381
Safin	0.0838216
Heyns	0.0837761
Medvedev	0.0837017
Daylami	0.0836033
Aamodt	0.0836022
Dragila	0.0834338
Schmitt	0.083323
Kiefer	0.0832905
Gustafsson	0.0831022
Chebet	0.0828268
Stoltenberg	0.082498
"Marina Anissina"	0.0823964
Schnyder	0.0823523
Villeneuve	0.0821428
"Fu Mingxia"	0.0820448
ou	0.0820394
Moya	0.0816951
"Li Na"	0.0811656
Tauziat	0.0807817
"Yu Zhuocheng"	0.080769
"Scarlet Knights"	0.0807509
Faldo	0.0807411
Andretti	0.0805972
Navratilova	0.0804893
Lapentti	0.0804084
Fredericks	0.0804055
Cornhusker	0.080217
gamecock	0.0801566
Seles	0.0800937
Luyendyk	0.0794195
Weiss	0.079393
"Michael Schumacher"	0.0788673
Samsonov	0.0787211
Jayasinghe	0.0786704
"Cathy Freeman"	0.0784691
Choi	0.0784497
Corretja	0.0783181
Mantilla	0.0783081
"John Godina"	0.0780546
Longo	0.0780413
Lucic	0.0779175
"Lance Armstrong"	0.0778394
Mauresmo	0.0776982
"Hale Irwin"	0.0771091
Michelle	0.0765267
Christie	0.0764049
Schumacher	0.076348
Slaney	0.0762348
"Inger Miller"	0.0761456
Klinsmann	0.075941
"Merlene Ottey"	0.0759144
Krajicek	0.0758454
Khorkina	0.0758453
Rosset	0.0757991
Sotomayor	0.0757784
Tverdovsky	0.0757521
Schalken	0.0755259
Sykora	0.0753459
Woodruff	0.0751676
Adkins	0.0751114
"Jackson State"	0.0749834
"Chen Lu"	0.0749735
"Michael Von Gruenigen"	0.0749546
"Tom Steels"	0.0749071
Jarrett	0.0747826
Polgar	0.0746978
"Lee Janzen"	0.0746312
Ferreira	0.0744422
"Vanessa Atler"	0.0743044
Magee	0.0741426
"Charles Austin"	0.0741346
"Phoenix Mercury"	0.074089
Kuerten	0.0740317
Capel	0.0740189
Cavs	0.0739044
Mayweather	0.0737768
Susanti	0.0736828
Hejduk	0.073672
"Gil Morgan"	0.0736595
Huber	0.0736352
Ota	0.0736132
"Deng Yaping"	0.0733962
"Kim Clijsters"	0.0731705
Hawkeyes	0.072949
"Hilde Gerg"	0.0729443
"Gail Devers"	0.0728758
Golota	0.0727562
Korda	0.0726687
Bruguera	0.0726267
Jayhawks	0.0724491
"Red Star"	0.0723722
"Kong Linghui"	0.0722996
Bjorkman	0.0722784
"Li Xuemei"	0.0721049
Philippoussis	0.0719378
Davenport	0.0718978
Loroupe	0.0718639
"Claudia Poll"	0.0718008
Inkster	0.0717193
Scot	0.0715684
"Roy Jones Jr."	0.0714257
"Ivan Pedroso"	0.0714198
Weinke	0.0714138
"Jackie Joyner-Kersee"	0.0713456
"Wu Yanyan"	0.0712564
"Team USA"	0.0709291
Sorenstam	0.0709091
"MIka Hakkinen"	0.0708433
Webb	0.0707555
"Blaine Wilson"	0.070672
Agassi	0.0706704
))
(buy (desc 41374.2) (sims
buying	0.107549
purchase	0.0978775
bargain	0.0855259
neutral	0.0827074
selling	0.0681752
stock	0.0647918
download	0.0635077
merchandise	0.062705
offering	0.061409
discount	0.0595085
cash	0.0587369
bet	0.0572123
buyer	0.0560854
guess	0.0536856
mortgage	0.0536047
customer	0.0521884
item	0.0513819
seller	0.0511699
profit	0.0510492
"get together"	0.0508484
showcase	0.0506494
acquisition	0.0503809
gift	0.0503325
wage	0.0500968
rating	0.0494437
"test drive"	0.0493026
investment	0.0485077
transaction	0.048433
doing	0.0478824
lease	0.0476215
holding	0.0475148
repurchase	0.0473195
fee	0.0470464
rent	0.0467373
shopping	0.0466538
shopper	0.0464517
venture	0.04642
"cut rate"	0.0464116
gamble	0.0462776
ticket	0.0455847
stake	0.0453081
option	0.0448575
compromise	0.0445521
bond	0.0444884
retail	0.0443373
wonder	0.0441075
goods	0.0440538
pledge	0.0440244
wine	0.0437836
subscription	0.0437457
consumer	0.043615
portfolio	0.0433161
supplier	0.0432209
commodity	0.0429939
deposit	0.0429107
payment	0.0428835
user	0.0428739
asset	0.042554
copy	0.0423821
toy	0.0423635
listing	0.0422963
property	0.0421699
ratio	0.0419926
PC	0.0417833
bust	0.0416293
doe	0.0415827
shareholder	0.0415224
chip	0.0414838
trading	0.0414248
dial	0.0413059
license	0.0412997
software	0.0412328
revenue	0.0411849
premium	0.0411734
Advertising	0.0409704
ones	0.0409473
pet	0.0409322
bonus	0.0409121
trust	0.040658
spending	0.0406432
incentive	0.0405325
hedge	0.0404525
inventory	0.0401188
AD	0.040055
grocery	0.0400219
))
(Buy.com (desc 3018.99) (sims
CDnow	0.258368
eToys	0.191109
Reel.com	0.187814
Priceline.com	0.185879
Toysrus.com	0.182412
CNN.com	0.176298
Barnesandnoble.com	0.16175
ETrade	0.153082
Amazon.com	0.143303
Priceline	0.13823
Amazon	0.131284
N@K	0.120967
Travelocity	0.117965
E-Trade	0.116633
eBay	0.112951
Drugstore.com	0.109608
ZDNet	0.107001
CompUSA	0.100446
Pets.com	0.0982086
theglobe.com	0.094914
"Amazon.com Inc."	0.0923129
AmeriTrade	0.0919875
Yahoo	0.091928
Lycos	0.091625
RealNetworks	0.0907907
ABCNews.com	0.0906625
MSNBC.com	0.0892341
Toysmart.com	0.088523
aol.com	0.0878057
Inktomi	0.0875723
DrKoop.com	0.0842598
Broadcast.com	0.0839216
ExciteAtHome	0.0838423
CNET	0.0814421
Checkfree	0.0797173
"J. Crew"	0.0796912
GO.com	0.0795798
Infoseek	0.0771139
bookseller	0.0761778
WTA	0.0750572
Hotmail	0.0747577
"Home Depot"	0.0744801
GoTo.com	0.0744778
"Charles Schwab"	0.0743939
QVC	0.0737279
DoubleClick	0.0730852
Schwab	0.0728984
"Dell Computer"	0.072692
Salon.com	0.072661
Netcenter	0.0725592
Webvan	0.0724547
Fingerhut	0.0719685
"Wal-Mart Stores"	0.0716088
"JDS Uniphase"	0.0715093
"Circuit City"	0.069455
NiSource	0.0691128
"Best Buy"	0.0686727
"Computer Associates"	0.0681102
CMGI	0.0676763
GeoCities	0.0673322
iVillage	0.0662012
MarketWatch.com	0.0653905
TheStreet.com	0.0638473
"Barnes &AMP; Noble"	0.0637771
ATHOME	0.0636652
"Sky TV"	0.0633444
Wal-Mart	0.0630999
Healtheon/WebMD	0.0628172
"Lycos Inc."	0.0627642
"Cisco Systems"	0.0625033
"Apple Computer"	0.0624101
com	0.0619922
Carrefour	0.0609709
Boo.com	0.0606246
"Toys R Us"	0.0599083
"Pacific Century"	0.059524
Staples	0.059507
Akamai	0.058967
"Raging Bull"	0.0576069
"Alta Vista"	0.0569323
Kmart	0.0562696
resellers	0.0562512
Healtheon	0.0560607
Datek	0.0560173
masse	0.0552502
MP@.com	0.0551288
"International Paper"	0.054504
"J. Peterman"	0.0541847
"CBS SportsLine"	0.0539619
"J.C. Penney"	0.0537289
RAMBUS	0.0535672
"Microsoft Network"	0.0529087
Qualcomm	0.0528842
"J&AMP;J"	0.0524279
Totalfina	0.052317
"Charles Schwab Corp."	0.0520982
HomeGrocer.com	0.0519337
AltaVista	0.0518391
Clorox	0.051699
Intuit	0.0514028
Alcoa	0.051186
MindSpring	0.0511142
"Discovery Channel"	0.0509446
ALZA	0.0507135
pre-Olympic	0.0506548
Aegon	0.0506497
Gillette	0.0499831
"Wells Fargo"	0.0496709
Medtronic	0.0492911
VENATOR	0.0491442
"Fidelity Investments"	0.0491384
IDT	0.0490643
CompuServe	0.0490271
ATP	0.0486567
"Southwest Airlines"	0.0483357
Monster.com	0.0482685
"Micron Technology"	0.0481393
ten-day	0.0478522
"Gap Inc."	0.04774
NetZero	0.047587
PATHFINDER	0.0471713
"Ask Jeeves"	0.0471008
"Hewlett Packard"	0.0469537
"Johnson &AMP; Johnson"	0.0467231
"security consultant"	0.0465077
Scientific-Atlanta	0.0463952
Stroh	0.0460944
Bovespa	0.0459623
Walmart	0.0458652
"Rite Aid"	0.0457632
"Dow Jones"	0.0455939
"Procter &AMP; Gamble"	0.0455348
All-Tech	0.0455298
Sepracor	0.0452662
"Dayton Hudson"	0.0450705
STARMEDIA	0.0449917
AlliedSignal	0.04468
"Bausch &AMP; Lomb"	0.0446159
TRW	0.0446148
"Delta Air Lines"	0.0445626
LPGA	0.0445526
ICQ	0.0441557
highflier	0.0441544
E-LOAN	0.0441393
REI	0.0440942
Instinet	0.0440778
UAM	0.0440145
"Quick &AMP; Reilly"	0.0439624
Expedia	0.0436391
"Netscape Communications"	0.0434926
Sears	0.0434581
ESPN.com	0.0433871
"Red Hat"	0.0433506
Lexis-Nexis	0.042905
UAL	0.0428266
"Global Crossing"	0.0428145
"Yahoo Inc."	0.0427725
IDG	0.0427562
Peapod	0.042476
"Saks Fifth Avenue"	0.0424586
Penney	0.0423934
superstore	0.042233
"professional golf"	0.042168
WorldCom	0.0419911
CCE	0.0419841
Citigroup	0.0417823
"Sara Lee"	0.0417708
"Singapore Telecom"	0.0416517
Benetton	0.0414517
XYLAN	0.0413366
Unisys	0.0413006
Pairgain	0.041274
ENTREMED	0.0412168
Bulog	0.0411431
Agilent	0.0411016
"Tokyo Stock Price Index"	0.0409627
Nextel	0.0409142
"brokerage house"	0.0408871
"Neiman Marcus"	0.0408824
"New York Times Co."	0.0408054
"Softbank Corp."	0.0407166
"L.L Bean"	0.0406793
Bristol-Myers	0.0406469
merchandiser	0.040513
USEC	0.0404625
"Hopman Cup"	0.0404258
Macy	0.0402742
Emulex	0.040234
"Phelps Dodge"	0.0402292
Bestfoods	0.0402169
Genentech	0.0401755
))
(buyback (desc 3832.05) (sims
repurchase	0.211064
buybacks	0.176831
"stock buyback"	0.174998
oil-for-food	0.124625
recapitalization	0.115624
swap	0.112014
buyout	0.109884
"bond offering"	0.109152
"tax reduction"	0.0991934
divestiture	0.0978331
"bond issue"	0.0976407
"fund-raising campaign"	0.0952966
"golden parachute"	0.0946353
"stock split"	0.0937873
issuance	0.093649
profit-sharing	0.0917845
write-off	0.0905893
disinvestment	0.0896298
"hostile takeover"	0.0888265
"job cut"	0.0867563
sell-off	0.0831319
"name change"	0.083096
"tender offer"	0.082682
dollarization	0.0824181
refurbishment	0.0784043
"initial offering"	0.0782923
"National Missile Defense"	0.0780769
bailout	0.0773933
Demutualization	0.0771524
flotation	0.076514
contingency	0.0764261
"fund-raising drive"	0.0759317
"reorganization plan"	0.0757883
write-down	0.0744238
"ad blitz"	0.0740718
"incentive program"	0.0735367
redevelopment	0.073107
rescheduling	0.0730194
repayment	0.0727773
"Medicare HMO"	0.072619
five-point	0.0725448
Privatization	0.0723878
"rate cut"	0.0723752
"leveraged buyout"	0.0720114
divestment	0.0717768
"expansion plan"	0.0711082
drawdown	0.0697723
seven-point	0.0695842
six-point	0.0695774
"Census @@@@"	0.0692475
liquidation	0.0688023
floatation	0.0685542
"endowment fund"	0.0685505
AFTA	0.0680388
"price cut"	0.0673885
"takeover bid"	0.0671537
takeover	0.0667321
"pretax charge"	0.0667213
sell-offs	0.0667029
retrenchment	0.0665765
electrification	0.0665195
medium-term	0.0663359
"takeover offer"	0.0662256
facelift	0.0661634
"budget cut"	0.0659761
privatisation	0.0656955
cleanup	0.0650788
rebate	0.0647475
"asset sale"	0.0640719
multiyear	0.0639474
"spending cut"	0.0637659
downsizing	0.0636307
"tax avoidance"	0.0633931
"safe harbor"	0.0631355
"purchase price"	0.0629401
outlay	0.0629203
go-slow	0.0628536
filtering	0.0627702
reshuffle	0.0624144
U.S.-British	0.0619662
NMD	0.0619539
"merger agreement"	0.0619505
fumigation	0.061949
rollout	0.0614294
rollovers	0.0614181
GSP	0.0613339
repatriation	0.0609376
"Agenda @@@@"	0.0605681
"tax hike"	0.0599972
"arms deal"	0.0599422
"short selling"	0.0598101
"rate hike"	0.0597631
dividend	0.0595074
long-awaited	0.0593942
"tax increase"	0.0593841
reorganization	0.0593739
spinoff	0.0592095
"member bank"	0.0590208
cutback	0.059007
"pilot program"	0.0588585
reseller	0.0588132
stayaway	0.0586939
reorientation	0.0581042
"management shakeup"	0.0581029
scrip	0.0579708
reshuffling	0.0578307
demobilization	0.0578089
"Super League"	0.0575534
"accounting problem"	0.0568789
"capital expenditure"	0.056448
payout	0.0564359
reclamation	0.0563062
"cost cutting"	0.0561762
"rate increase"	0.0560842
revaluation	0.0560675
appropriation	0.0559858
"tax credit"	0.0559283
"down payment"	0.0558542
sickout	0.0557578
"tax break"	0.0556841
fact-finding	0.0555477
issuers	0.0555134
rollback	0.0554704
divestitures	0.0551184
nuts-and-bolts	0.0550459
Judaization	0.0549584
leasing	0.0549364
cancellation	0.0548353
"pay cut"	0.0546495
weight-loss	0.054602
"initial public offering"	0.0544909
phaseout	0.0544305
homeownership	0.0542242
expropriation	0.0541885
"advertising campaign"	0.054104
"management change"	0.0540646
IPO	0.0539599
"deficit reduction"	0.0538649
renegotiation	0.0538266
indemnity	0.0537531
"operating budget"	0.0536125
deregulation	0.0535707
retention	0.0535237
redistribution	0.0533273
redemption	0.0531276
installment	0.0530939
"tax bill"	0.0529623
renewal	0.0529417
allocation	0.0527917
"tax change"	0.0527492
selloff	0.0527089
nationalization	0.0526939
annexation	0.0526611
tie-up	0.0525172
linkup	0.0525095
relocation	0.0523531
spraying	0.0523221
makeover	0.0522387
"work stoppage"	0.0521393
"export credit"	0.0520953
headcount	0.0520896
"marketing effort"	0.0520842
alleviation	0.05199
hoard	0.0519831
convertibility	0.0518845
"land reform"	0.0516275
tranche	0.0515736
"wage increase"	0.0514142
disbursement	0.0511297
ten-year	0.051127
Wellness	0.0510983
rationing	0.0510313
Liberalization	0.0509775
issuer	0.0508115
reforestation	0.0507351
A@XX	0.0506035
verification	0.0505501
realignment	0.0504212
issuing	0.0501564
IDT	0.0500337
rectification	0.0499963
decoding	0.049946
"interest payment"	0.0499122
weighting	0.0499119
pullout	0.0498478
joining	0.0497899
"annual payment"	0.0497495
moratorium	0.0494601
reinvestment	0.0494559
"credit line"	0.0491819
servicing	0.0491457
importation	0.0490514
five-year	0.0489097
"reserve fund"	0.0489044
FTA	0.0488859
eradication	0.0488022
"book value"	0.0487881
"pay raise"	0.0487313
shareholding	0.0487058
reimbursement	0.0486663
))
(buybacks (desc 2721.91) (sims
buyback	0.176831
repurchase	0.142027
"stock buyback"	0.105002
"tax change"	0.0950212
mega-mergers	0.0859674
"short covering"	0.0847702
"job cut"	0.0841013
divestitures	0.081757
rollovers	0.0785568
"asset sale"	0.0774998
divestment	0.0773053
"stock split"	0.0754657
bargain-hunting	0.0739756
issuance	0.0730717
"price cut"	0.0704388
overhang	0.0690583
issuers	0.0685495
repayment	0.0683025
divestiture	0.0677639
"bond offering"	0.0674019
drawdown	0.0641912
"dividend payment"	0.0630806
"interest payment"	0.0627961
realignments	0.0622851
write-off	0.0622677
computation	0.0620397
dollarization	0.0617113
recapitalization	0.0615346
servicing	0.0607729
"price reduction"	0.0606835
"marketing effort"	0.0603841
"ultraviolet light"	0.0596303
closings	0.0595177
"bank withdrawal"	0.0594745
layoff	0.0594473
"target practice"	0.0588323
"short selling"	0.057928
sell-offs	0.0577549
defoliant	0.0574446
selloffs	0.0569571
"bond issue"	0.0569383
write-down	0.0566908
sell-off	0.0566228
"price increase"	0.0561091
reorganization	0.0556026
lending	0.0555945
renegotiation	0.0546315
"capital gain"	0.0545546
rescheduling	0.0543732
disbursement	0.0542169
"cost cutting"	0.0540448
"bond trading"	0.0538
restructurings	0.0531907
borrowing	0.0530773
Measures	0.0525355
"expansion plan"	0.0524651
"spending cut"	0.0524383
privatizations	0.0524105
"field work"	0.0516804
hedging	0.0516213
Abdur-Rahim	0.0515383
"electrical device"	0.0515179
PACs	0.051515
around-the-clock	0.0512032
"fund-raising campaign"	0.0509453
"management change"	0.0508444
influx	0.0506864
"tax increase"	0.0506333
"rate cut"	0.0505276
"safety measure"	0.0504379
"rate hike"	0.0501416
"interest rate increase"	0.0497897
reshuffling	0.0497555
"earnings report"	0.0497496
pullbacks	0.0495714
downsizing	0.0494991
tie-up	0.0494776
liquidation	0.049286
"work stoppage"	0.0492659
"public exposure"	0.0491638
"debt payment"	0.0491065
flotation	0.0488599
downturns	0.0486091
cutback	0.0484802
retrenchment	0.0483885
debenture	0.0483423
"name change"	0.048085
monies	0.047728
"reserve fund"	0.0474827
e-BOOKS	0.0474445
prognostication	0.0473438
issuing	0.0471716
scrapping	0.0471314
"commercial paper"	0.0470989
"Thomson CSF"	0.0470905
"incentive program"	0.0468211
dilution	0.0467852
"currency market"	0.0466673
"fire hose"	0.0463866
"gasoline tax"	0.0463783
pullback	0.0460818
"tax benefit"	0.0459579
"fire sale"	0.045916
"accounting problem"	0.0458018
"about $@.@ trillion"	0.0456479
"Erie Canal"	0.0454618
depreciation	0.0454591
"debt issue"	0.0453877
"Strategic Petroleum Reserve"	0.0453173
"police action"	0.0452422
"Pacific Century Cyberworks"	0.045197
"Tokyo Stock Exchange"	0.0451905
"space walk"	0.044974
pullout	0.0445977
"tax reduction"	0.0444877
AFTA	0.0442105
sequencing	0.0441036
capitalisation	0.0440763
thalidomide	0.0438961
headcount	0.043686
"Beijing-Kowloon Railway"	0.0436825
"earnings growth"	0.0435923
issuer	0.0432694
"coal gas"	0.0431551
overvaluation	0.0431208
build-up	0.042927
sleuthing	0.0429082
hailstone	0.0428466
"detective work"	0.0427975
"tax hike"	0.0427582
"rate increase"	0.0427459
selloff	0.0424894
"securities market"	0.0424666
phonics	0.0423379
"stock option"	0.0423271
"budget cut"	0.0422422
diversification	0.04224
tamoxifen	0.0421851
"Qualcomm Inc."	0.0419936
rearrangement	0.041966
"British government"	0.0419382
iMacs	0.0418237
"background check"	0.041748
"borrowing cost"	0.041696
"artificial heart"	0.0415406
"human activity"	0.0413172
"bankruptcy case"	0.0413008
personalization	0.0412746
mifepristone	0.0411799
drilling	0.0411236
whistleblowers	0.0408361
echinacea	0.0408127
"price fluctuation"	0.0408104
belt-tightening	0.0407828
polling	0.0407708
spraying	0.0407269
outlay	0.0406509
"consumer demand"	0.0406084
deal-making	0.0405575
"policy change"	0.0405199
"arms deal"	0.0404625
"employment growth"	0.0403422
"futures exchange"	0.0402791
"initial public offering"	0.0402391
"earnings disappointment"	0.0402364
"head count"	0.0402084
"aircraft order"	0.0401885
"social activity"	0.0401685
radiotherapy	0.0401676
intranets	0.0400364
contagion	0.0400007
))
(buyer (desc 99467.7) (sims
customer	0.203052
consumer	0.202155
investor	0.198443
purchaser	0.183382
seller	0.169651
shopper	0.16752
user	0.165786
bidder	0.15475
"home buyer"	0.146973
importer	0.145418
trader	0.145001
dealer	0.143758
supplier	0.141842
exporter	0.137714
owner	0.135326
retailer	0.135132
manufacturer	0.133202
collector	0.132988
advertiser	0.132039
traveler	0.129441
developer	0.127467
client	0.126462
Reader	0.125612
employer	0.123052
company	0.122611
distributor	0.120724
visitor	0.119739
producer	0.119597
farmer	0.118015
applicant	0.117826
viewer	0.117138
donor	0.116835
employee	0.116681
borrower	0.115638
worker	0.113871
lender	0.1137
individual	0.113639
people	0.113597
broker	0.113527
tourist	0.113368
entrepreneur	0.11252
homeowner	0.112305
grower	0.109356
vendor	0.108432
business	0.10833
maker	0.107994
merchant	0.107716
operator	0.107457
sale	0.107199
voter	0.10648
taxpayer	0.106288
businessmen	0.105512
shareholder	0.105201
corporation	0.104414
insurer	0.104076
resident	0.104038
purchase	0.103847
competitor	0.103074
market	0.102852
firm	0.102186
participant	0.100704
provider	0.100667
parent	0.10004
beneficiary	0.0991026
wholesaler	0.0985013
student	0.0975422
contractor	0.097433
audience	0.0973226
foreigner	0.096854
fan	0.0968274
marketers	0.0965347
professional	0.096514
subscriber	0.0964869
tenant	0.0953
citizen	0.0949318
listener	0.0948548
manager	0.0946338
patient	0.0945385
American	0.0938741
surfer	0.0934337
airline	0.0931135
member	0.0930737
public	0.0927386
those	0.0925133
bank	0.0924689
driver	0.0923916
doctor	0.0911557
recipient	0.0907809
"financial institution"	0.0898334
creditor	0.0895775
passenger	0.0891992
partner	0.0891823
underwriter	0.0891529
enterprise	0.0881692
publisher	0.0881237
executive	0.0880394
sponsor	0.0879491
exhibitor	0.0874325
industry	0.0870719
suitor	0.0870446
automakers	0.0861123
carrier	0.0861041
shipper	0.0859822
"insurance company"	0.0850605
adult	0.0849241
patron	0.0848741
"business traveler"	0.0845972
athlete	0.0845623
woman	0.0843323
smoker	0.0843272
price	0.0837476
export	0.0836099
retiree	0.0835318
designer	0.0835153
renter	0.0834562
player	0.083026
speculator	0.0829402
motorist	0.0827591
enthusiast	0.0825369
builder	0.0819284
"college student"	0.0815575
banker	0.0815022
holder	0.0814742
import	0.0813489
folk	0.0810301
family	0.080889
group	0.0805703
moviegoer	0.0805596
person	0.0804177
utility	0.0797809
politician	0.0797448
landlord	0.079551
buying	0.0794247
product	0.0789031
teens	0.0788504
contributor	0.0788366
caller	0.0786401
"venture capitalist"	0.0779943
anyone	0.0778105
youngster	0.0778095
"senior citizen"	0.0776317
teacher	0.0775905
immigrant	0.0775806
Programmer	0.0774577
agent	0.0773913
regulator	0.0773339
lawmaker	0.0771806
household	0.0771654
kid	0.0770774
"trading partner"	0.0769013
outlet	0.0766637
shipment	0.0766528
issuers	0.0764763
store	0.0764405
"baby boomer"	0.0758809
recruit	0.0758155
policyholder	0.0757379
candidate	0.0756349
child	0.0754818
country	0.0753878
brand	0.0752503
drinker	0.0752313
official	0.0752135
artist	0.0751302
nation	0.0748438
criminal	0.0747701
broadcaster	0.0745592
guest	0.0744983
journalist	0.0742066
writer	0.0740747
others	0.0737706
man	0.0734161
Republican	0.0733686
scientist	0.0733389
volunteer	0.0732889
spectator	0.0730951
"job seeker"	0.0730304
"business leader"	0.0729845
investment	0.0728865
teen-ager	0.0728692
sector	0.0728429
"travel agent"	0.0726339
depositor	0.0724719
physician	0.0718607
agency	0.0716885
Hunter	0.0715048
debtor	0.0713325
"commercial bank"	0.071253
government	0.0712033
gambler	0.0710731
transaction	0.0709725
Russian	0.0709248
plaintiff	0.0708169
sales	0.0707987
lawyer	0.0707609
pilot	0.0707299
promoter	0.070691
Hispanic	0.0702987
Chinese	0.0701527
Democrat	0.0701212
))
(buying (desc 74169.6) (sims
selling	0.276372
profit-taking	0.16631
"short covering"	0.163723
bargain-hunting	0.150187
trading	0.13753
purchase	0.130237
borrowing	0.117376
hunting	0.110972
sell-off	0.107803
shopping	0.105205
speculation	0.103134
spending	0.0994584
sale	0.0956581
"Bombay Stock Exchange"	0.0941591
investment	0.0941531
optimism	0.0940804
lending	0.093682
gain	0.093039
demand	0.0910967
selloff	0.0910872
recovery	0.0873462
inflow	0.0866567
market	0.0855631
stock	0.0849272
growth	0.0844006
offering	0.0843974
doing	0.0819073
marketing	0.0816301
"New York Mercantile Exchange"	0.081188
surge	0.0811614
activity	0.0807387
liquidation	0.0806184
price	0.0805651
buyer	0.0794247
expectation	0.0792473
business	0.0779781
giving	0.0779427
consolidation	0.0774782
"stock market"	0.0772414
decline	0.0770148
Advertising	0.076966
volatility	0.0769522
transaction	0.0769043
"interest rate"	0.0766993
pressure	0.0763596
sentiment	0.0760933
weakness	0.0756314
yen	0.0755952
"earnings report"	0.0753505
investor	0.0752243
"Chicago Board of Trade"	0.0743662
financing	0.0741875
acquisition	0.074136
Rally	0.07411
rise	0.0735266
strength	0.0732123
bidding	0.0726632
consumption	0.0722064
intervention	0.0721535
pricing	0.0721389
eating	0.0713882
import	0.0711321
export	0.0710869
"oil price"	0.071022
interest	0.0709366
booking	0.0705994
trade	0.0701837
banking	0.0701167
holding	0.0697513
dumping	0.0697371
consumer	0.0697279
hiring	0.068904
inflation	0.0688455
expansion	0.0688299
support	0.0681889
flow	0.0679866
"blue chip"	0.0676769
"Wall Street"	0.0676325
worry	0.0674012
sales	0.0672736
planning	0.0668506
profit	0.0668163
distribution	0.0666506
supply	0.0664952
news	0.0662782
outflow	0.0662106
rebound	0.0660416
moving	0.066022
share	0.0660218
plunge	0.0658298
"consumer demand"	0.0655783
"rate cut"	0.0655277
merger	0.0654215
saving	0.0653945
manufacturing	0.0650652
"price increase"	0.0650433
drinking	0.0649531
trader	0.0648472
campaigning	0.0645912
earnings	0.0645485
development	0.0642764
travel	0.0639337
manipulation	0.0636288
"cost cutting"	0.0635609
gambling	0.0634092
currency	0.0634023
looting	0.0633368
production	0.063319
fund	0.0632221
upturn	0.0632038
money	0.0626352
spree	0.0624309
inventory	0.062263
boom	0.0622407
smuggling	0.0619794
payment	0.0617911
e-commerce	0.0617534
improvement	0.0617344
voting	0.0616033
hike	0.0615879
rumor	0.061356
speculator	0.0612403
liquidity	0.0611399
"trading activity"	0.0610742
influx	0.0610316
Promotion	0.0610252
listing	0.0609697
depreciation	0.060954
dollar	0.0609443
premium	0.0607525
confidence	0.0605192
concern	0.0603827
violence	0.0601782
"high quality"	0.0601614
service	0.0599981
outlook	0.059991
"mortgage rate"	0.0599448
playing	0.0598155
loan	0.0597866
value	0.0595893
company	0.0595679
employment	0.059406
panic	0.0593202
shopper	0.0591176
participation	0.0590812
equity	0.0589411
planting	0.0588716
uncertainty	0.0588196
shipment	0.0586292
innovation	0.0585192
performance	0.058468
customer	0.0584022
discount	0.0583964
portfolio	0.0582974
economy	0.0582502
information	0.0581911
enthusiasm	0.0581897
trend	0.0577755
hoarding	0.0577508
takeover	0.0574667
popularity	0.057452
hope	0.0572913
reduction	0.0570425
momentum	0.0569905
technology	0.0568458
data	0.0567879
strategy	0.0567615
advance	0.0566256
slide	0.0565864
revenue	0.0565268
research	0.0565219
competition	0.0564839
ownership	0.0563767
donation	0.0563661
driving	0.0563578
access	0.0562831
"rapid growth"	0.0561827
falls	0.0559961
"bond market"	0.0558215
exchange	0.0557135
enforcement	0.0557079
Privatization	0.0555916
cost	0.0554287
dealings	0.0554114
networking	0.055373
slowdown	0.0553308
coverage	0.0553146
availability	0.0551325
downturn	0.0550002
publicity	0.0549653
migration	0.0549298
valuation	0.0548993
fear	0.0548976
volume	0.0548299
thinking	0.054819
processing	0.0547818
frenzy	0.0545879
productivity	0.0545234
"mutual fund"	0.0544763
product	0.0544402
))
(buyout (desc 21529.6) (sims
takeover	0.186369
acquisition	0.183576
"leveraged buyout"	0.144717
merger	0.140674
purchase	0.14035
bailout	0.128501
"takeover bid"	0.110723
severance	0.110643
buyback	0.109884
reorganization	0.102392
swap	0.100015
"hostile takeover"	0.0989707
"takeover offer"	0.0975184
bonus	0.0957556
"asset sale"	0.0934682
payout	0.0917884
"golden parachute"	0.0917561
"initial public offering"	0.0913872
"pay cut"	0.0896645
Privatization	0.088629
"job cut"	0.0877685
divestiture	0.0877018
recapitalization	0.0866076
IPO	0.0846027
"merger agreement"	0.0845363
profit-sharing	0.0829398
"tender offer"	0.0828542
"wage increase"	0.0819407
"stock option"	0.0818347
spinoff	0.0818021
restructuring	0.0816282
divestitures	0.0811052
"stock buyback"	0.0810845
consolidation	0.080286
"stock split"	0.0801602
layoff	0.0793879
pension	0.0789902
extension	0.0789483
sale	0.0784485
settlement	0.0777706
"tax break"	0.077616
compensation	0.0775913
payment	0.0770042
"tax reduction"	0.0770013
downsizing	0.0767434
"rate cut"	0.0761393
liquidation	0.0761067
"operating budget"	0.0759717
package	0.0758034
contract	0.0753579
facelift	0.0751787
cutback	0.075062
bankruptcy	0.0750153
"name change"	0.0747325
transaction	0.0744914
"plant closing"	0.0744534
"tax cut"	0.0744046
overhaul	0.0741784
investment	0.0740665
retrenchment	0.0737176
"pay raise"	0.0735754
"compensation package"	0.073574
lease	0.0731693
expansion	0.0730138
"bond issue"	0.0730087
"reorganization plan"	0.0728326
shareholding	0.0725347
breakup	0.0718146
salary	0.0717504
"expansion plan"	0.0717452
"tax increase"	0.071719
write-down	0.0712365
"ad blitz"	0.0711825
redevelopment	0.0711129
rebate	0.0708286
endowment	0.0707692
"budget cut"	0.0704618
renovation	0.0701806
retirement	0.0699643
relocation	0.069752
infusion	0.0691924
"incentive program"	0.0690804
mortgage	0.0689078
renewal	0.0686563
"management change"	0.0682248
Demutualization	0.0674729
"rate hike"	0.0670233
reshuffle	0.0670033
sponsorship	0.0668857
venture	0.066854
loan	0.066558
cancellation	0.0662544
dividend	0.0660718
payoff	0.0660437
write-off	0.0659632
"tax hike"	0.0657601
annuity	0.0657207
"cost cutting"	0.0655042
hiring	0.0650827
closings	0.0650787
"bond offering"	0.0650493
"purchase price"	0.0650134
subsidy	0.0646543
shutdown	0.0646494
"line of credit"	0.0643676
"spending cut"	0.0641546
offering	0.0639557
incentive	0.0637754
"joint venture"	0.0637611
"ad campaign"	0.0637577
termination	0.0634761
financing	0.0634436
repurchase	0.0634298
reduction	0.0633827
"policy change"	0.0633023
scholarship	0.0632346
tie-up	0.0628489
payday	0.0626516
"tax bill"	0.0626057
restoration	0.0624681
deregulation	0.0623669
"fund-raising drive"	0.0623232
withdrawal	0.061822
"credit line"	0.0617174
"war chest"	0.061609
"advertising campaign"	0.061416
reward	0.0614083
defection	0.0610686
appropriation	0.0609694
closure	0.0608702
windfall	0.0608643
fee	0.0607768
pact	0.0606402
refund	0.0605968
portfolio	0.0605355
amnesty	0.0604821
kickback	0.0602529
shake-up	0.0599949
funding	0.0599905
conversion	0.0598647
option	0.0595255
"tax credit"	0.0594547
budget	0.0592115
reimbursement	0.0590045
"personal loan"	0.0589793
"pilot program"	0.0588841
pullout	0.0588251
"price tag"	0.0587924
partnership	0.0587708
"retirement benefit"	0.0586324
megamergers	0.0586089
"takeover attempt"	0.0584588
Ransom	0.0583794
exemption	0.0583272
voucher	0.0582287
"equity investment"	0.0578869
"down payment"	0.0578613
"tax deduction"	0.0578225
repayment	0.0577964
listing	0.0577368
"price increase"	0.0574852
cleanup	0.057467
"compromise plan"	0.0573687
saving	0.0573192
annexation	0.0572749
realignment	0.0572489
stipend	0.0569897
"cash payment"	0.056927
profit	0.0569118
paycheck	0.0567243
PRICETAG	0.0565781
spin-off	0.0565013
linkup	0.056492
"trust fund"	0.0564679
privatizations	0.0564186
hike	0.0563823
donation	0.0561218
"asking price"	0.0559387
divestment	0.0557285
"initial offering"	0.0557216
equity	0.0557026
dollarization	0.0556738
"annual payment"	0.0556595
ownership	0.0556432
shortfall	0.0554383
initiative	0.0553914
"nest egg"	0.0553429
"health benefit"	0.0552648
refurbishment	0.0552559
"rate increase"	0.05513
Alliance	0.0550817
outlay	0.0550022
borrowing	0.0549987
makeover	0.0549438
mega-mergers	0.0549026
"retirement plan"	0.0548976
scheme	0.0548257
retraining	0.0547899
renegotiation	0.0547683
audit	0.0546136
))
(Buyoya (desc 5055.39) (sims
"Pierre Buyoya"	0.231159
Koroma	0.186479
Phieu	0.173854
Nujoma	0.166641
Rakhmonov	0.162193
Mkapa	0.15941
Kagame	0.15814
Nazarbayev	0.154475
Guei	0.153111
Constantinescu	0.151707
Kabbah	0.147231
Abubakar	0.145039
Kuchma	0.144467
Kwasniewski	0.142092
Obasanjo	0.141843
Deuba	0.141119
Mugabe	0.137326
Museveni	0.137231
Rabbani	0.136866
Chissano	0.135706
Stoyanov	0.133407
Chiluba	0.133273
Chavalit	0.132507
Musharraf	0.131615
Guterres	0.131592
Vieira	0.131378
Pustovoitenko	0.130415
Clerides	0.128784
Karimov	0.125773
Kabila	0.124843
Klestil	0.123926
Bashir	0.122911
Lukashenko	0.122778
Menem	0.121727
Bizimungu	0.120257
Banharn	0.120091
Mbeki	0.120022
Granic	0.118936
Kabariti	0.117887
el-Bashir	0.117655
Akayev	0.117618
"Hun Sen"	0.117352
Ikeda	0.11597
Niyazov	0.115344
Berisha	0.115173
Frei	0.115145
Azad	0.114801
Plavsic	0.113124
Gadhafi	0.113048
Shevardnadze	0.112894
Alatas	0.112318
Bruton	0.111599
Tudjman	0.110817
Moi	0.110673
Abdel-Meguid	0.11067
Scalfaro	0.110265
"Bizima Karaha"	0.110065
Diouf	0.109459
Lipponen	0.108918
"Laurent Kabila"	0.10887
"de Charette"	0.108054
Aznar	0.10761
Ahern	0.107323
Demirel	0.106982
Jayakumar	0.106872
"Dos Santos"	0.106741
Muluzi	0.106705
Gowda	0.10669
Kumaratunga	0.106646
Denktash	0.106102
Juncker	0.105717
Hasina	0.105673
Wahid	0.105589
Meles	0.10526
Bouteflika	0.104801
Rifkind	0.104402
Chretien	0.104261
Nzo	0.104241
Iliescu	0.104233
Kostov	0.104013
Shareh	0.103747
Buthelezi	0.103421
Moratinos	0.103044
"Krishna Prasad Bhattarai"	0.102822
"Chavalit Yongchaiyudh"	0.102485
Mandela	0.10242
Zuma	0.101871
Ikimi	0.101857
Prodi	0.101779
Ahtisaari	0.101545
Sampaio	0.101116
Cardoso	0.101062
Komura	0.101035
Bedie	0.100997
"Abdulsalam Abubakar"	0.100906
Insulza	0.100753
Chirac	0.100635
Bondevik	0.100309
Fino	0.10022
Klima	0.099967
Hrawi	0.0998906
Tarawneh	0.0996936
Djukanovic	0.0996037
"Sani Abacha"	0.099423
Gujral	0.0993228
"Pervez Musharraf"	0.0992873
Ruehe	0.099257
Luong	0.0989624
Gaddafi	0.0986833
Buzek	0.0985366
"Chea Sim"	0.0985174
Velayati	0.0984051
Simitis	0.0981937
Zeman	0.0980191
Solana	0.0977087
"Than Shwe"	0.0971009
Koirala	0.0967812
Allende	0.0967015
Yilmaz	0.0963535
Soeharto	0.0961099
Masire	0.0958034
Vasile	0.0957337
Chuan	0.0956857
Carollo	0.0955936
Hashimoto	0.0955687
Pangalos	0.0954431
Speight	0.0953792
Kiriyenko	0.0952832
Estrada	0.095243
Alarcon	0.0952312
Ranariddh	0.0952175
Ecevit	0.0949051
Rong	0.0948573
al-Sahhaf	0.0948188
Mahuad	0.0945724
"Mesut Yilmaz"	0.0941659
Benazir	0.094098
Schuessel	0.0940463
"Deve Gowda"	0.0940411
Sergeyev	0.0939069
Narayanan	0.0934372
al-Sahaf	0.0931594
Leghari	0.0931116
Kok	0.0929943
Fujimori	0.0928312
Lahoud	0.0926946
Kasoulides	0.0925037
Wiranto	0.0921363
"King Sihanouk"	0.0919773
Khatami	0.0919522
Saleh	0.0919404
Pastrana	0.0917032
Chaudhry	0.0916927
Castro	0.091651
Mobutu	0.0915122
Hoss	0.0914906
Ivanov	0.091237
Abacha	0.0907504
Jovanovic	0.0905292
Primakov	0.0904859
Camdessus	0.0904087
Dodik	0.0903751
Rugova	0.0903019
Amour	0.0900894
Westendorp	0.0900435
junta	0.0898764
Samper	0.0898456
Dini	0.0897557
Muoi	0.0896195
Bongo	0.0895576
Habibie	0.0893211
Goh	0.0891725
al-Bashir	0.0891512
Hu	0.0890198
"John Major"	0.088583
Pickering	0.0885808
Zeroual	0.0884924
Milutinovic	0.0883092
Majali	0.0882418
Conte	0.0880269
"Radu Vasile"	0.0880258
Juppe	0.0879351
Maskhadov	0.0876488
Misuari	0.0875794
Shipley	0.0872543
Barzani	0.0870271
Xanana	0.0869811
Erbakan	0.0869798
Vajpayee	0.086962
Siazon	0.0869208
Demaci	0.0869025
Meguid	0.0868616
Rafsanjani	0.0865577
Tung	0.0865394
Obuchi	0.0865241
Advani	0.0865221
Mahathir	0.0863344
Orban	0.0862416
LeBlanc	0.0860958
Yeltsin	0.0859508
))
(Buzek (desc 1605.44) (sims
Klima	0.193519
Kostov	0.18924
Alarcon	0.184511
"Jerzy Buzek"	0.183708
Dehaene	0.180777
Lipponen	0.179717
Velayati	0.179272
Majali	0.176899
Kwasniewski	0.175866
Pustovoitenko	0.172342
Kuchma	0.169231
Muluzi	0.168403
Guterres	0.1681
Orban	0.16744
Deuba	0.167406
Shevardnadze	0.167344
Vasile	0.166738
Stoyanov	0.164632
Ruehe	0.164507
Vollebaek	0.162849
Rifkind	0.16158
Ganzouri	0.160997
Tarawneh	0.159293
Banharn	0.157327
Kok	0.154946
Akayev	0.15434
Diouf	0.154134
Kabariti	0.153715
Gujral	0.153407
Niyazov	0.152348
Gowda	0.152336
Leghari	0.152005
Scalfaro	0.151396
Karimov	0.149457
Komura	0.147764
Dodik	0.147449
Murayama	0.146422
Phieu	0.145638
Rodionov	0.145209
Chavalit	0.14409
Yilmaz	0.143617
Koirala	0.143515
Chissano	0.142394
Scharping	0.142285
Dini	0.14207
Persson	0.141667
Ikeda	0.141582
Constantinescu	0.140973
Mkapa	0.140561
Aznar	0.140076
Nazarbayev	0.136927
Rakhmonov	0.135653
Meguid	0.134757
Bondevik	0.133245
Camdessus	0.133179
Sergeyev	0.132812
Ahern	0.132699
Granic	0.13217
Insulza	0.131926
"Prime Minister Banharn Silpa-Archa"	0.131884
Narayanan	0.130306
"Secretary General Esmat Abdul-Meguid"	0.12995
Cem	0.129828
Axworthy	0.12944
Menem	0.129183
Jospin	0.128277
Kharrazi	0.128217
"Chuan Leekpai"	0.128057
Zuma	0.127711
Pickering	0.127076
Harmoko	0.127011
Ogata	0.126954
Hashimoto	0.126842
Azad	0.126572
"De Soto"	0.126279
Nujoma	0.126207
Surin	0.125966
Chaudhry	0.125937
Ecevit	0.125631
Majko	0.125389
Chuan	0.125047
Hasina	0.124927
Bizimungu	0.124556
Moratinos	0.123809
Abdel-Meguid	0.123457
Saleh	0.123229
"Yoshiro Mori"	0.123154
Solana	0.122944
Hoss	0.122912
Simitis	0.122665
Clerides	0.122651
Ciampi	0.122592
Papandreou	0.122236
Holl	0.122068
Prodi	0.121307
Stepashin	0.120834
Luong	0.120535
Muoi	0.120099
Wolfensohn	0.119996
Pangalos	0.119608
"Secretary General Esmat Abdel-Meguid"	0.119587
Venables	0.119427
Shareh	0.119185
Nzo	0.118901
"Goran Persson"	0.118649
Demirel	0.118477
Frei	0.117785
Milbury	0.117776
Juncker	0.117161
Siazon	0.117147
"de Charette"	0.116907
"Dos Santos"	0.116151
Kiriyenko	0.115943
Santer	0.115757
"Chavalit Yongchaiyudh"	0.115516
D'Alema	0.115422
Lukashenko	0.11538
"Chief Executive Tung Chee-hwa"	0.11529
"Romano Prodi"	0.115007
Shipley	0.114726
Alatas	0.114597
Meles	0.114549
Ikimi	0.114341
"Lee Hsien Loong"	0.113951
Tian	0.113357
"President Kim Young-sam"	0.113261
Ahtisaari	0.112923
Indyk	0.112502
Kumaratunga	0.112446
Kinkel	0.11224
Jayakumar	0.112031
Hybl	0.111901
"Atal Bihari Vajpayee"	0.11182
Klestil	0.111732
Arens	0.111681
Zambrano	0.111475
Kasoulides	0.110916
Singson	0.110914
Bulatovic	0.110817
Havelange	0.110723
el-Ganzouri	0.11026
Bildt	0.110181
Chirac	0.109873
Modise	0.109817
Museveni	0.109601
Hariri	0.109567
"Maung Aye"	0.109503
Cortines	0.109441
Aliyev	0.109235
Carollo	0.10923
Ben-Ami	0.108722
Aventajado	0.108552
Zeman	0.108544
"Ryutaro Hashimoto"	0.108107
Boueiz	0.107868
Zedillo	0.107544
Eizenstat	0.107506
"Bill Skate"	0.107401
LeBlanc	0.107374
Rua	0.10653
Azizah	0.106494
Joklik	0.106478
Rongen	0.106092
Tsang	0.106058
Vajpayee	0.106048
Cowens	0.105709
"Kim Yong Nam"	0.105619
Goh	0.105436
"Ung Huot"	0.105409
Berri	0.105408
Hamdoon	0.105202
Rabbani	0.105199
Primakov	0.105102
Brittan	0.104461
Benazir	0.10411
Thapa	0.10407
Bucaram	0.103914
Lari	0.103755
Chand	0.103721
Aziz	0.103663
"H.D Deve Gowda"	0.103642
Zeroual	0.103474
"Meles Zenawi"	0.102953
Obuchi	0.102716
Abubakar	0.102242
Rong	0.102142
Zou	0.102016
Amato	0.101832
Wahid	0.1018
"Jose Maria Aznar"	0.101784
Kono	0.101279
"Deve Gowda"	0.101227
"Sergei Kiriyenko"	0.101028
Fabius	0.101016
Guei	0.100951
Sharansky	0.100687
McGuinness	0.100129
Schroeder	0.100068
"King Abdullah II"	0.100062
"John Howard"	0.0999505
))
(buzz (desc 33330.9) (sims
hype	0.110935
excitement	0.105796
hoopla	0.0959392
noise	0.0862893
publicity	0.0854363
enthusiasm	0.0852513
commotion	0.0829576
roar	0.0810767
speculation	0.0800234
murmur	0.0793674
chatter	0.0792164
frenzy	0.0785047
feeling	0.0743255
attention	0.0731898
furor	0.07273
emotion	0.0725595
acclaim	0.0721781
controversy	0.0711728
momentum	0.070606
anxiety	0.0680464
rumor	0.0674872
fanfare	0.0662667
suspense	0.0657784
panic	0.0655931
ruckus	0.065563
mood	0.0653677
joke	0.0653152
clout	0.0651977
thrill	0.065113
whisper	0.064388
hysteria	0.0643798
skepticism	0.0638768
euphoria	0.0637242
fuss	0.0632509
impression	0.0631357
atmosphere	0.0630757
hum	0.063037
outcry	0.0625205
ovation	0.0623967
rumblings	0.0621743
cachet	0.0617837
confusion	0.0613802
accolade	0.0612149
uncertainty	0.0610044
aura	0.0605527
cheer	0.0604868
optimism	0.0604475
curiosity	0.0600667
nervousness	0.0597824
clamor	0.0593137
stuff	0.0592789
Ripple	0.0589621
criticism	0.0588098
sense	0.0587233
influence	0.0585247
sentiment	0.0582703
energy	0.0581328
firestorm	0.0577321
oomph	0.0577054
jolt	0.057692
groundswell	0.0576464
boo	0.0570398
applause	0.0569596
reaction	0.0568033
distraction	0.0566436
magic	0.056605
fervor	0.0563573
popularity	0.0562265
volatility	0.0560919
jitters	0.0559002
trend	0.0557654
uproar	0.0556536
alarm	0.0556077
laughter	0.0555094
hubbub	0.0554424
reputation	0.0552546
sensation	0.0551086
passion	0.0548896
rumble	0.0545947
novelty	0.0545338
scare	0.0544654
expectation	0.0541855
laugh	0.0541449
burst	0.0540801
"word of mouth"	0.0540268
boom	0.0540084
vibration	0.0537199
feedback	0.0536245
disappointment	0.0535949
celebrity	0.0535698
shock	0.0534379
gossip	0.0532808
conversation	0.0532677
outrage	0.0530384
unease	0.0529851
phenomenon	0.0528917
bang	0.0528014
wave	0.0525256
anger	0.0523125
fun	0.0522596
tension	0.0522058
talent	0.0520934
Vibe	0.0520926
innovation	0.0518887
sympathy	0.0518242
credibility	0.051709
headline	0.0515594
consensus	0.0514985
motivation	0.0514027
backlash	0.051382
flak	0.0513214
news	0.0513106
notoriety	0.0512464
perception	0.0512275
presence	0.0511758
recognition	0.0511142
success	0.0509992
bitterness	0.050932
smell	0.0508166
"shock wave"	0.0507634
resonance	0.0506214
drama	0.0505598
rivalry	0.050556
prediction	0.0505176
awareness	0.0504655
intrigue	0.0503725
confidence	0.0502053
misgiving	0.0501295
discomfort	0.0500619
mania	0.050059
angst	0.0499125
resentment	0.0498451
tremor	0.0498293
warmth	0.0496822
image	0.0496583
nostalgia	0.0495677
attitude	0.0495007
impact	0.0491898
visibility	0.0491682
vibes	0.0491643
tone	0.0490401
suspicion	0.0489686
frustration	0.0489214
Creativity	0.048782
pessimism	0.0487368
music	0.0487316
thought	0.0487129
spirit	0.0486242
chaos	0.0485868
splash	0.0485426
cynicism	0.0483687
intensity	0.0483631
urgency	0.0483264
"good will"	0.048305
indication	0.0482962
impetus	0.0482589
surge	0.0481951
response	0.0481218
profile	0.0480456
personality	0.0479753
inconvenience	0.0479441
Advertising	0.0478825
banter	0.0478112
discussion	0.0476955
potential	0.0476805
boomlet	0.047311
ambivalence	0.0472798
message	0.0472218
tumult	0.0471016
glut	0.0469769
pride	0.0469025
"special effect"	0.0468836
wealth	0.0468797
allure	0.046827
unrest	0.046722
mentality	0.0467142
hyperbole	0.0466739
rating	0.0466647
synergy	0.0463631
thinking	0.0462814
shakeout	0.0461319
apprehension	0.0461206
horsepower	0.0461125
friction	0.0459898
adulation	0.0459751
scrutiny	0.0459723
rancor	0.0459621
glow	0.0458505
anticipation	0.045844
turbulence	0.0457968
acrimony	0.0457896
exposure	0.0457746
hand-wringing	0.0457406
leverage	0.0457256
flurry	0.0456922
refrain	0.0456834
stigma	0.0456312
exaggeration	0.0456196
happiness	0.045617
Luck	0.0455637
))
("Buzz Aldrin" (desc 1269.36) (sims
Aldrin	0.282797
"Neil Armstrong"	0.248092
"Michael Collins"	0.145133
"Eileen Collins"	0.110985
stagehand	0.0779598
O.J	0.0710429
crewmates	0.0672057
"Buzz Lightyear"	0.064711
Edwin	0.0594113
"Albert Einstein"	0.059383
"Oscar Robertson"	0.0552861
Schultz	0.0525326
Gus	0.0524827
"Navy Seal"	0.0513809
"Tyler Hamilton"	0.0500581
"test pilot"	0.0478692
"Harold Ickes"	0.0467391
"air force officer"	0.0448282
shipmate	0.0447467
"Jeff Williams"	0.0441976
imposter	0.0439981
"altar boy"	0.0432798
spymaster	0.0432317
"lieutenant general"	0.0431575
"police lieutenant"	0.0429712
"draft dodger"	0.0427083
cosmonaut	0.0418455
"brigadier general"	0.0413849
suiting	0.0407067
"piece of cloth"	0.0406982
"Phillippi Sparks"	0.0406961
"Daryl Johnston"	0.0405562
"State Law and Order Restoration Council"	0.0401628
"Richard Virenque"	0.0400847
))
("Buzz Lightyear" (desc 1106.89) (sims
Terri	0.108676
"Tim Allen"	0.0737282
Katzenmoyer	0.0730157
"Eileen Collins"	0.0657808
"Buzz Aldrin"	0.064711
"Neil Armstrong"	0.0622091
"Douglas MacArthur"	0.0612318
MIA	0.0608763
Scarpetta	0.0536001
"Tonya Harding"	0.0518889
"New York Republicans"	0.0513391
"Nancy Kerrigan"	0.0507748
"Jeff Williams"	0.0498905
"Todd Rucci"	0.0485409
"Company of Men"	0.0481494
cowgirl	0.04802
"Chow Yun-Fat"	0.0468581
Abe	0.0452065
potboiler	0.0450069
"Jar Jar Binks"	0.0444112
castoffs	0.0442122
hedgehog	0.0430097
"Martin Schmitt"	0.042707
"Luke Skywalker"	0.0424069
"Chris Porter"	0.042196
"Katarina Witt"	0.0418159
Furbys	0.0410224
))
(buzzard (desc 1145.92) (sims
Blackman	0.077572
Orbiter	0.0699632
Vulture	0.0696258
tarpon	0.0612996
otter	0.0592067
balloonist	0.058815
"Lunar Prospector"	0.0548037
stapler	0.0539349
"trillion dollars"	0.0529003
seagull	0.052885
hyena	0.0511995
skydiver	0.0510394
moth	0.0507729
goldfish	0.0502856
Gabbi	0.0483195
looker	0.0481385
Golota	0.0478239
"Steve Fossett"	0.0477275
hourglass	0.047544
"trial balloon"	0.0474516
"Jeep Cherokee"	0.0472986
"loan shark"	0.0468566
GMA	0.0467498
raindrop	0.0462861
"blind man"	0.0451892
Montalvo	0.0451313
Perrot	0.0449198
Tseng	0.0444567
"white flag"	0.0444128
Fiddes	0.0432978
Troussier	0.0431703
Camaro	0.0427425
sparrow	0.0423383
Momma	0.0422481
magpie	0.0421748
"tree stump"	0.0420898
"pine cone"	0.0420391
"bird of prey"	0.0420047
Kremer	0.0419705
chainsaw	0.0418174
MALICK	0.0415856
Taubman	0.0415695
Chu	0.0413365
indies	0.0411947
"auto company"	0.0408284
Pickens	0.0407716
druid	0.0405091
Ilie	0.0404132
Astaire	0.0401994
))
(buzzer (desc 10005.9) (sims
"alarm bell"	0.100651
"fire alarm"	0.0879406
whistle	0.0765976
Siren	0.0725997
Chime	0.0645623
"car horn"	0.064109
buzzer-beater	0.0606959
Doral	0.0589274
"Lambeau Field"	0.0580111
doorbell	0.0576724
"death knell"	0.0559148
"church bell"	0.0548252
"foul shot"	0.0547224
"smoke alarm"	0.0527048
halftime	0.0522945
"first basket"	0.0521649
"field goal"	0.0512486
"Bay Hill"	0.0500232
intermission	0.0499604
"Mile High Stadium"	0.0497405
Horn	0.0488683
Trey	0.0485193
"sonic boom"	0.0478028
three-pointers	0.0473681
"Arrowhead Stadium"	0.0465061
"Compaq Center"	0.0464981
"Great Western Forum"	0.0464749
"Oregon State"	0.0460416
"alarm clock"	0.0456612
"match point"	0.0455784
beeper	0.045397
intercom	0.0453957
"Royal Birkdale"	0.0451255
TD	0.0450581
"St. Andrews"	0.0434344
"free throw"	0.0428361
"Madison Square Garden"	0.0419177
"Devil Stadium"	0.0411324
beep	0.0406433
Gong	0.0405344
jumper	0.0401929
timer	0.0401384
))
(buzzer-beater (desc 1112.72) (sims
"five @-pointers"	0.143909
airball	0.105544
"two @-pointers"	0.0984087
one-hitter	0.0966261
faceoffs	0.0890063
game-winner	0.0864228
"three match points"	0.0854893
"three @-pointers"	0.0853292
triple-double	0.0831039
"four @-pointers"	0.0802101
"chip shot"	0.078809
"another @-pointer"	0.0775324
"hook shot"	0.0773989
floater	0.0770335
"bank shot"	0.075331
three-pointer	0.0735479
putback	0.0735241
"torpedo boat"	0.0733702
"break of serve"	0.0730568
"service break"	0.072428
Trey	0.0716802
"two baskets"	0.0706631
"St. Bonaventure"	0.0700611
"four homers"	0.068628
"five homers"	0.0680441
"foul shot"	0.0674979
goal-scorer	0.0668694
heartbreaker	0.0660606
no-decision	0.0656561
sloop	0.0651213
fibula	0.0638623
ippon	0.0632229
"life preserver"	0.0623537
"cabin cruiser"	0.0622479
"gas well"	0.0612541
tip-in	0.0608064
buzzer	0.0606959
"Dez White"	0.0602042
"slave ship"	0.0578551
"knockout punch"	0.0576777
"another @"	0.0572828
dribbler	0.0568171
"Los Angeles Sparks"	0.0565577
"cash crunch"	0.0565412
"four sacks"	0.0565017
shocker	0.0564385
Jansher	0.0562877
"fire wall"	0.0560861
"Chicago Fire"	0.0556229
three-pointers	0.0553784
"fifth homer"	0.0548465
blooper	0.0544916
"Miami Fusion"	0.0539645
salchow	0.0539429
"Andrea Gail"	0.0537509
"jump shot"	0.0536531
heroics	0.0536129
lifeboat	0.0535437
hole-in-one	0.0532591
"Washington Capitals"	0.0531109
"triple play"	0.0528396
"eight homers"	0.0523637
rainout	0.0523291
"seven homers"	0.0522842
"Buffalo Sabres"	0.0518941
equaliser	0.0514978
pop-up	0.0513178
"Division I-AA"	0.0507991
"proxy fight"	0.0507461
"set point"	0.050589
"nine homers"	0.050457
sidelight	0.0502568
"Hainan Island"	0.0501377
gusher	0.0499822
"luxury liner"	0.0499074
non-factor	0.0498779
skiff	0.0498164
"gas pedal"	0.049739
"third homer"	0.0496103
"one homer"	0.0491698
no-decisions	0.0487794
slipup	0.0486646
TD	0.0484793
"two sacks"	0.0482962
noggin	0.0480523
drawdown	0.0474882
one-hopper	0.0473541
boreholes	0.0470485
"six homers"	0.0469359
"Mark Wohlers"	0.0468929
baserunner	0.046687
"American Lindsay Davenport"	0.0466153
"Sterling Hitchcock"	0.0465236
"No. @,@@@"	0.0464868
chip-in	0.0463447
"Todd Walker"	0.0462583
gunboat	0.0459206
"pop fly"	0.0456646
"running play"	0.0455745
first-grader	0.0455561
Yorktown	0.0449508
comebacker	0.0449134
double-double	0.0448469
smooch	0.0447615
"foul ball"	0.0445178
"New Jersey Devils"	0.0444986
pinch-hit	0.044413
"risk taker"	0.0443936
rebounders	0.0443702
"Quinton McCracken"	0.0443549
"match point"	0.0443443
"Bartolo Colon"	0.0442489
"three homers"	0.0441185
kwanza	0.043942
"police captain"	0.0438998
gaffe	0.0438277
"two homers"	0.0434905
"rough water"	0.0433928
powerboat	0.0433112
"seventh homer"	0.0432381
two-hitter	0.0429279
"Lei Feng"	0.0426973
proviso	0.04268
Tauziat	0.0426743
"Kim Batten"	0.0426325
"second person"	0.0425483
no-no	0.0424543
Tapper	0.0423442
"Toronto Maple Leafs"	0.0422095
"about @.@@ billion dollars"	0.0421167
houseboat	0.0421109
"merchant ship"	0.0418945
stinker	0.0418021
three-meter	0.0416657
stayaway	0.0416381
"Dave Burba"	0.0414942
"base hit"	0.0414618
"Bjorn Borg"	0.0412502
one-two	0.0408356
"unearned run"	0.0407999
"second homer"	0.0405718
"pleasure boat"	0.0404686
flogging	0.0404682
Mulligan	0.0403694
ferryboat	0.0403278
"civic duty"	0.0401965
"Russ Johnson"	0.0401843
Novak	0.0400897
))
(buzzword (desc 7694.18) (sims
watchword	0.0814588
fad	0.0757727
"cause celebre"	0.0694784
euphemism	0.0682282
axiom	0.0681469
"growth industry"	0.0658003
"four-letter word"	0.0619882
craze	0.0607138
adjective	0.0603782
cliche	0.0603509
byword	0.0563296
mantra	0.0560597
phrase	0.0558513
"success story"	0.0548603
slang	0.0543642
"guessing game"	0.0543248
parlance	0.0524355
laggard	0.0522646
Truism	0.051898
"whipping boy"	0.0517089
"good word"	0.0500607
"television star"	0.0499928
"software package"	0.0486541
bogeyman	0.0485477
innovator	0.0481951
avocation	0.0476529
"flash point"	0.0473243
touchstone	0.0471877
"talking point"	0.0467529
"computer language"	0.046633
shorthand	0.0466191
hallmark	0.0464757
"piece of music"	0.0461016
anachronism	0.0459285
aphorism	0.0458981
bestseller	0.0456952
"parlor game"	0.0456899
"standard operating procedure"	0.0453543
jargon	0.0450063
"fault line"	0.0449705
"No. @s"	0.0445622
"death knell"	0.0444748
"rule of thumb"	0.0442717
"piece of furniture"	0.0442584
"strong force"	0.0438755
"film star"	0.0437768
punchline	0.0437224
nightspot	0.0435337
mover	0.0434525
"key word"	0.0434038
"decisive factor"	0.0428595
maxim	0.0427204
moneymaker	0.0425302
moniker	0.0425095
pastime	0.0423921
paradigm	0.0421467
"focal point"	0.0421334
conundrum	0.042019
"hot issue"	0.0418698
ballplayer	0.0418016
"bull market"	0.0417067
rationale	0.0416382
"vacation spot"	0.041586
ferment	0.0414715
kingmaker	0.0412255
metaphor	0.041033
"starting point"	0.0404265
setter	0.0403788
"watering hole"	0.0402269
salutation	0.040186
visionary	0.0401384
"rating system"	0.040137
))
(by-election (desc 4553.75) (sims
by-elections	0.3014
"general election"	0.123117
polling	0.119879
balloting	0.108876
"primary election"	0.108817
"Lok Sabha"	0.091986
runoff	0.0902229
referendum	0.0875961
"governor's race"	0.0860004
caucus	0.0829604
plebiscite	0.0800494
"open primary"	0.0757834
"French Grand Prix"	0.0728541
constituency	0.072388
elector	0.0710219
"Kentucky Oaks"	0.0709077
"committee meeting"	0.0694277
Majlis	0.0691451
"Lower House"	0.06675
tie-break	0.0635659
"Hollywood Gold Cup"	0.0631882
"Scottish Parliament"	0.0627496
"AFC Championship Game"	0.0619227
"Preakness Stakes"	0.0604063
"US House"	0.0598836
"MLS Cup"	0.0598688
first-round	0.0598192
"Gold Cup"	0.0581314
"senate race"	0.0581026
"Brickyard @@@"	0.057734
"congressional district"	0.0565235
"British Grand Prix"	0.0563923
"European Cup"	0.0562098
"Dubai World Cup"	0.0547467
"Western Open"	0.0546015
"Volleyball Championship"	0.0541685
"NAPA @@@"	0.0541096
"Japanese Grand Prix"	0.0538896
"Belmont Stakes"	0.0536365
"Buick Classic"	0.0530237
Knesset	0.0527898
reapportionment	0.0527275
"protest march"	0.0521375
"proxy fight"	0.0512238
"electoral college"	0.0504366
"Little League World Series"	0.0498906
"Italian Open"	0.0495594
reelection	0.0494799
"Texas Senate"	0.0488574
"House of Lords"	0.0488194
"East Regional"	0.0486843
"Dunhill Cup"	0.0480641
rainout	0.0477591
"London Marathon"	0.0474461
"ski race"	0.0473691
"Memorial Tournament"	0.0470424
"Asian Cup"	0.0470375
"playoff game"	0.0468952
Bundestag	0.0468626
"Fortune Global Forum"	0.0465717
matches	0.0465102
"round robin"	0.0464857
"Granite State"	0.0462515
"Italian Cup"	0.0456365
"World AIDS Day"	0.0455241
"regulation time"	0.0453327
"war game"	0.0453121
Travers	0.044802
"NEC Invitational"	0.0444354
"New York City Marathon"	0.0442926
decider	0.0436916
Paralympics	0.0434065
electorate	0.0431059
"African Nations Cup"	0.0430985
speakership	0.04298
"Canadian Open"	0.0427785
"Arab-Israeli War"	0.0426755
"German Open"	0.0425783
commencement	0.0422766
"King Bhumibol Adulyadej"	0.0421728
"LPGA Championship"	0.0419526
Kelantan	0.0419285
"Sudirman Cup"	0.0418899
midterm	0.0417487
"Kickoff Classic"	0.0415755
"International AIDS Conference"	0.0415729
inaugural	0.0414345
"Confederations Cup"	0.0413607
"Board of Investment"	0.0411156
"three-day event"	0.0409986
"Pepsi @@@"	0.0409887
relays	0.0408638
"Western Conference Finals"	0.0408107
"Millennium Summit"	0.040801
"boat race"	0.0406415
Premiership	0.0405618
"SEA Games"	0.0403611
"State Duma"	0.0403439
weigh-in	0.0402774
"away game"	0.0402254
"Tony Awards"	0.0402182
"Nissan Open"	0.040174
Queensland	0.0401254
tourney	0.040069
))
(by-elections (desc 2516.26) (sims
by-election	0.3014
polling	0.141516
"general election"	0.101185
balloting	0.0937083
runoff	0.0788676
"primary election"	0.0782283
"Fortune Global Forum"	0.0738924
"Bangkok Asian Games"	0.0735789
"World Food Summit"	0.0734195
plebiscite	0.0705842
"Ryder Cups"	0.0694189
"Plenary Session"	0.0691191
"ASEAN Ministerial Meeting"	0.0670976
"Trade Fair"	0.0667128
counting	0.0665989
"Pulitzer Prizes"	0.0659936
"Asia-Europe Meeting"	0.0658418
"SEA Games"	0.0656352
"committee meeting"	0.0651767
"Millennium Summit"	0.0644328
"World University Games"	0.0618087
"International AIDS Conference"	0.061511
vote-getters	0.0614091
"Confederations Cup"	0.0613929
Opens	0.0607232
"Volleyball Grand Prix"	0.0606355
"Canadian Open"	0.060558
postseasons	0.0604418
"Western Open"	0.0581928
minicamps	0.0578785
"Cy Young Awards"	0.0572747
ASEM	0.0572236
"African Cup"	0.0563541
"British Opens"	0.0557814
"proxy fight"	0.0555876
"Asian Cup"	0.0551661
"Eighth National Games"	0.054893
"Lower House"	0.0548598
friendlies	0.054715
"Andhra Pradesh"	0.0536779
"three-day event"	0.0536399
no-decisions	0.0532786
"protest march"	0.0532352
candidature	0.0531934
speakership	0.0531452
"absolute majority"	0.052922
"Volleyball Championship"	0.052508
"Ministerial Conference"	0.0521885
"basketball season"	0.0520672
plenum	0.0513678
"cold snap"	0.0512591
Councilors	0.0512498
"space walk"	0.0511066
Majlis	0.0509062
"working day"	0.0508228
"English Football Association"	0.0504799
symposia	0.0503125
"No. @s"	0.0502473
"Little League World Series"	0.0499059
"open primary"	0.0498635
Grammys	0.049835
raffle	0.0496624
"African Nations Cup"	0.0496168
"Stockholm Open"	0.0494275
"Japanese Grand Prix"	0.0494181
fundraisers	0.049082
"Winter Olympic Games"	0.0490784
IGC	0.0486445
"Ways and Means Committee"	0.0485928
"Commonwealth Games"	0.0485754
"World Conference"	0.0485413
Knesset	0.0485273
"five spot"	0.0483809
"Nissan Open"	0.0483685
"CPC National Congress"	0.0483155
"Phoenix Open"	0.0481275
"Copa America"	0.0480468
"National Games"	0.0480263
"polling booth"	0.0476052
"United Nations Conference"	0.0475438
"religious ceremony"	0.0474553
"management shakeup"	0.0472993
"U.S. Opens"	0.0471943
"Gold Gloves"	0.0471193
Tonys	0.0469839
"Dubai World Cup"	0.0467836
"wedding ceremony"	0.0467068
"Lunar New Year"	0.0464446
autopsy	0.0460619
"Japan Open"	0.0460176
"Italian Cup"	0.0459019
"European Championship"	0.0457561
"Thomas Cup"	0.0456366
"governor's race"	0.0453969
"Uber Cup"	0.0452921
"round robin"	0.045261
internationals	0.0452529
"takeover battle"	0.0451109
VMs	0.0449457
spacewalks	0.0449317
"Lok Sabha"	0.0449163
"World AIDS Conference"	0.0448514
"dividend payment"	0.0447342
aspirant	0.0446676
"Hamlet Cup"	0.0445251
mini-summit	0.0444671
"Summer Olympic Games"	0.044226
Jawbreaker	0.0441748
"budget debate"	0.044161
"Sudirman Cup"	0.0441224
"Tony Awards"	0.0441175
"war game"	0.044034
inquest	0.044032
"World Figure Skating Championships"	0.0439946
"election district"	0.0438817
parley	0.0438422
"Buick Classic"	0.0438031
"Brickyard @@@"	0.0437714
manoeuvre	0.0436298
SDB	0.0435599
"Field Poll"	0.0434367
"European Cup"	0.0433639
gauntlet	0.0433224
heatwave	0.0432161
"congressional district"	0.0431481
"US House"	0.0431417
regionals	0.0431243
Grosjean	0.0430938
"Fourth World Conference"	0.0429742
"MLS Cup"	0.0429168
Qatari	0.0429142
"Pan American Games"	0.0428524
"educational activity"	0.0427918
"NEC Invitational"	0.0427257
"BellSouth Classic"	0.0426488
"Emmy Awards"	0.0426334
"car race"	0.0426129
elector	0.0425993
"boat race"	0.0425903
retrial	0.0424736
"interest rate increase"	0.0424286
"World Petroleum Congress"	0.0422713
Asiad	0.0422653
"Dinah Shore"	0.0419136
"Kentucky Oaks"	0.0418771
"floor leader"	0.0418146
"World AIDS Day"	0.041797
"Asian Winter Games"	0.041791
Olympiad	0.0417626
"Atlanta Olympic Games"	0.0416669
"Grammy Awards"	0.0416616
"medical examination"	0.0414777
"Asia Pacific Economic Cooperation"	0.0413847
"market correction"	0.0413025
firsts	0.0412674
"fatal accident"	0.0412487
"initial public offering"	0.0412434
Terps	0.0411032
"Third Plenary Session"	0.0410427
"Southeast Asian Games"	0.0408571
"Stanley Cups"	0.0406563
"work stoppage"	0.0406047
"basketball league"	0.0405212
"open house"	0.0404627
"art exhibition"	0.0404582
"National Congress"	0.0404355
"South Summit"	0.0404307
"Special Session"	0.040422
"Sydney Olympic Games"	0.0403939
Dutchmen	0.0402804
"First Session"	0.0401678
"field trial"	0.0401283
"nuclear explosion"	0.0400933
"Iraqi POWs"	0.0400865
"Final Fours"	0.0400719
nationalization	0.0400491
))
(by-product (desc 10630.5) (sims
byproducts	0.213887
"dairy product"	0.123241
foodstuff	0.1206
byproduct	0.115172
petrochemical	0.110325
"building material"	0.105032
"raw material"	0.104357
derivative	0.101315
condensate	0.0996959
"cashew nut"	0.0984133
"food product"	0.0970833
"palm oil"	0.09459
poultry	0.0944575
mineral	0.0926276
fertilizer	0.0918359
chemical	0.089703
"household appliance"	0.0876053
petroleum	0.0871602
processing	0.0861871
"sea food"	0.0852319
"animal product"	0.0850521
grain	0.084961
textile	0.084547
cement	0.0837627
pesticide	0.0829403
"iron ore"	0.0829161
"frozen food"	0.0825076
handicraft	0.0808183
timber	0.080742
"chemical industry"	0.0802682
offal	0.0787732
commodity	0.0786775
machinery	0.07834
"vegetable oil"	0.0778879
"consumer goods"	0.0777772
Coal	0.0773014
beef	0.0765406
meat	0.0765018
garment	0.0762478
"liquefied petroleum gas"	0.0761736
fodder	0.0746339
seafood	0.0745188
jute	0.073168
pharmaceutical	0.0729969
metallurgy	0.07194
fruit	0.0717533
"home appliance"	0.0713593
"fish meal"	0.0712819
Livestock	0.070708
cotton	0.0700881
additive	0.0695785
"crude oil"	0.0683171
appliance	0.0682626
beverage	0.0681247
dairy	0.0680858
phosphate	0.0669163
"machine tool"	0.0668869
aquatics	0.0665459
"futures price"	0.0665355
"fruit juice"	0.0661707
metal	0.066038
goods	0.065535
"animal husbandry"	0.064982
contaminant	0.0648911
"citrus fruit"	0.0648551
residue	0.0644978
fibre	0.0644226
ceramic	0.0642882
knitwear	0.0642122
"natural gas"	0.06412
cereal	0.0639698
"precious metal"	0.0637006
wheat	0.0635469
vegetable	0.063523
fiber	0.0634091
rubber	0.0628493
pulp	0.0627741
gemstone	0.062475
lubricant	0.0620761
pollutant	0.0618232
"more than @@ million tons"	0.0617569
sisal	0.0616096
steel	0.061586
"cooking oil"	0.06142
pork	0.0612806
lumber	0.0608317
newsprint	0.0603528
ore	0.0596349
electronics	0.0595702
"mineral resource"	0.059358
starch	0.0590118
sugar	0.0589209
husbandry	0.0586037
maize	0.0583617
"chemical compound"	0.058105
Copper	0.057951
"soybean oil"	0.0575811
ethylene	0.0574707
wool	0.0573441
POTASH	0.0568323
"animal fat"	0.0566873
footwear	0.0566299
tobacco	0.0565287
"mineral water"	0.0565257
toxin	0.0563561
oilseed	0.0562026
horticulture	0.0561054
side-effects	0.056073
"soya bean"	0.0559794
cosmetic	0.0551158
forestry	0.0550069
semen	0.0547363
"diesel oil"	0.0544797
"precious stone"	0.0544304
"pig iron"	0.0543321
mutton	0.0542951
PCBs	0.0541182
exportation	0.0541169
"fish fillet"	0.0540962
leather	0.0540411
CFCs	0.0538186
aluminium	0.0537561
"fuel oil"	0.0535747
LNG	0.0534982
hydrocarbon	0.0529928
cattle	0.0529559
"growth hormone"	0.0528701
condensation	0.052826
tea	0.0527525
mining	0.0527377
coffee	0.0526882
"spare part"	0.0525542
diamond	0.0525294
"coffee bean"	0.0523465
"motor vehicle"	0.0521977
citrus	0.0517304
yarn	0.0514309
semiconductor	0.0513072
acid	0.0511107
carcass	0.051091
"electric power"	0.0509532
milk	0.0508905
cocoa	0.0507888
"more than @@@,@@@ tons"	0.050441
plastic	0.0504065
farming	0.0504027
automobile	0.0502673
"domestic animal"	0.0500582
sugarcane	0.0498816
"canned food"	0.0498688
defoliant	0.0498267
"production equipment"	0.0498126
nutrient	0.0496388
"one million tons"	0.0495766
subsector	0.049576
"alcoholic beverage"	0.049154
shipbuilding	0.0491324
"durable goods"	0.0489926
"natural resource"	0.0488205
breeding	0.0488146
nitrogen	0.0486464
apparel	0.0486373
DDT	0.0485207
detergent	0.0484753
substance	0.0483493
insecticide	0.0482888
ephedrine	0.0480937
"fresh fish"	0.0479213
dioxin	0.0478003
emission	0.047727
solvent	0.0475975
outgrowth	0.0475813
aluminum	0.0474685
liquor	0.0474072
manure	0.0473451
"hard drug"	0.0471996
"aircraft part"	0.0470771
alloy	0.0470766
"lubricating oil"	0.0470526
cu.m	0.0469465
biotechnology	0.04693
carcinogen	0.0469138
"sugar cane"	0.0468296
shellfish	0.0467154
"rare earth"	0.046691
iron	0.0466487
"synthetic fiber"	0.0465929
"soft drink"	0.0465266
non-oil	0.0462099
"wheat flour"	0.0461718
asbestos	0.0460191
"waste material"	0.0458787
gasoline	0.0458776
soybean	0.0458687
fishery	0.0455458
phosphorus	0.0455285
"heating oil"	0.0454448
cultivation	0.0453338
"California wine"	0.0453232
urea	0.0452822
))
(bye (desc 11689.1) (sims
"no ball"	0.134904
walkover	0.0841243
berth	0.0700247
"clean slate"	0.0570268
Hi	0.0541592
sailing	0.0532143
goodbye	0.0529438
"home game"	0.0515712
qualifier	0.0501025
"winning streak"	0.0495542
off-day	0.0490474
mini-camp	0.0487873
pairing	0.0487325
"breathing room"	0.0479256
"road game"	0.0469364
"playoff game"	0.0466038
"thank you"	0.0446277
matches	0.0445926
matchup	0.0445749
minicamp	0.0445495
"four homers"	0.0440484
"Wayne Black"	0.0430719
"Dominik Hrbaty"	0.0427011
"short shrift"	0.0426577
"Central Division"	0.0425582
"positive feedback"	0.042369
knockdown	0.0422425
matchups	0.0418481
"day off"	0.0405879
hole-in-one	0.0400978
pennant	0.040071
))
(bye-bye (desc 1888.48) (sims
goodbye	0.0940779
Hi	0.0757573
riddance	0.073458
sparkler	0.0584722
"white flag"	0.054248
Whoa	0.0538192
Vina	0.0444702
"Matthew Eappen"	0.0438477
Joachim	0.0437317
"civic duty"	0.0431185
Rocha	0.0430984
wand	0.0425977
"hot potato"	0.0423833
"Hail Mary"	0.0422507
"white elephant"	0.0410295
gibberish	0.0410021
howdy	0.0409091
"making love"	0.0408024
))
(Byers (desc 1063.73) (sims
Kasoulides	0.140776
Guterres	0.140729
Ruehe	0.136912
Azad	0.124975
Ikimi	0.117353
Singson	0.115823
Tarawneh	0.114384
Bronfman	0.110351
Ikeda	0.10867
Advani	0.107972
Zou	0.106666
Shareh	0.104541
Rodionov	0.104165
Rifkind	0.103022
Demaci	0.102985
Cem	0.101889
Aventajado	0.101452
Komura	0.10121
Insulza	0.101
Moratinos	0.100341
Sumaye	0.0977067
Holl	0.0974828
Hrawi	0.0965574
Pustovoitenko	0.0962957
Velayati	0.095541
Boueiz	0.0954286
Ciampi	0.0946718
Alatas	0.0946418
Waigel	0.0938807
Rais	0.0930317
Juma	0.0929899
Hodler	0.0923118
Tsang	0.0920909
Koskinen	0.091755
"de Charette"	0.0914624
Hess	0.0908281
Surin	0.0892299
Siazon	0.0891653
Cavanaugh	0.0890715
Kostov	0.0885232
Meguid	0.0879739
Fahey	0.0879052
Shamshad	0.087655
Talebi	0.0873809
Kyprianou	0.0866005
Soares	0.0859083
Alarcon	0.085802
Musa	0.08569
Nzo	0.0856184
Fink	0.0852306
McCurry	0.0850774
Wolfson	0.0846464
Nemtsov	0.0846145
Scharping	0.0843145
Flanagan	0.0838444
Fernandes	0.0836879
Bizimungu	0.0833922
Jayakumar	0.0833081
Whyte	0.0832898
Harman	0.082892
Reinhardt	0.0827694
Grachev	0.0821684
Klestil	0.0818565
Nujoma	0.0816463
Phieu	0.0815516
Stoyanov	0.0815147
Vollebaek	0.0813597
Meles	0.0813272
Dodik	0.0811894
Zuma	0.0809569
Pangalos	0.0808383
Brundtland	0.0807995
Pickering	0.0807973
Sergeyev	0.080559
Abdel-Meguid	0.0802291
Dini	0.0800358
Gujral	0.0800263
Izetbegovic	0.0796935
Leung	0.0793532
Chavalit	0.0792495
Kono	0.0791453
Wolfensohn	0.0786457
Sha	0.0784617
Zhirinovsky	0.0784008
Bulatovic	0.0782879
Magaziner	0.0781838
Baz	0.0781576
Eizenstat	0.0780674
Biggs	0.0780529
Pearce	0.0779675
Mikhailov	0.0777583
decker	0.0777417
Kharrazi	0.0777196
Amedure	0.0776149
Alioto	0.0772719
Scalfaro	0.07705
Brittan	0.0768191
Beazley	0.0765401
FitzPatrick	0.0765042
Bateman	0.0764972
Ben-Ami	0.0760583
Gurirab	0.0760326
Simitis	0.0759356
Kornberg	0.0759131
Shaath	0.0757707
Iliescu	0.074507
Clements	0.0744644
Yadav	0.0741917
Rosenberg	0.0741669
Yastrzhembsky	0.0741071
Stroyev	0.0740914
Banharn	0.0738388
Sahnoun	0.0738085
al-Sahaf	0.0737702
Husseini	0.0736781
Harmoko	0.0732648
Nazarbayev	0.0732338
Bruton	0.073175
Nasrallah	0.0731657
Santer	0.0730768
Abbas	0.0729258
Biden	0.0728801
Fitch	0.0727405
Groscost	0.072645
Schaeffer	0.0724049
"Amos Wako"	0.0723457
Matasareanu	0.0723432
Myhrvold	0.0723005
Maslyukov	0.0722968
Sampaio	0.0721533
Schrempp	0.0720556
Moonves	0.0718531
Rothenberg	0.0718179
Milutinovic	0.0715261
Mkapa	0.0715137
Zamora	0.0713489
Nebiolo	0.0711649
Sheehan	0.0708253
Mattysse	0.0707545
LeBlanc	0.0706286
Klima	0.0704438
Lamberth	0.0702886
Bolger	0.0702884
Naumann	0.0702814
Burleigh	0.070268
Caddell	0.0699772
Frei	0.0699372
Bessette	0.0698252
Tevanian	0.0697818
Carrera	0.0697018
Liao	0.0696711
Gowda	0.0696249
Kirkpatrick	0.0696027
Koirala	0.06956
Levitt	0.0694374
Seleznyov	0.0693478
Dehaene	0.0692422
Tran	0.0692321
Ruggiero	0.0692117
Bhattarai	0.0692061
Chissano	0.0691832
Ashrawi	0.0691672
Siegel	0.0691524
Juppe	0.0690922
Modise	0.0690804
Fieger	0.0688824
McGuinness	0.0688757
Latham	0.0688285
Allchin	0.0688105
Teresi	0.0687177
Majko	0.0686433
Demps	0.0684961
Khalil	0.0684258
Pape	0.0682669
Arens	0.0681836
Machado	0.0680772
Kwasniewski	0.0680687
Dai	0.0680221
Jovanovic	0.0680174
Severino	0.06764
Sato	0.0675056
Mackey	0.0674735
Diouf	0.067234
Monahan	0.0672162
Kohler	0.0671109
Goh	0.0669966
"Bill Skate"	0.0666383
Luo	0.0663309
Ghali	0.0662591
Reiter	0.0660884
Belo	0.0659755
Meissner	0.0657952
Beilin	0.0657671
Kearney	0.065668
Kato	0.0656317
Herzog	0.065519
Granic	0.0655041
Aguirre	0.0654624
Cornyn	0.0653171
Rashid	0.0652957
))
(bylaw (desc 6905.24) (sims
Ordinance	0.156241
"U.S. Constitution"	0.147028
"penal code"	0.139869
"code of conduct"	0.131926
"bankruptcy law"	0.13
charter	0.126435
statute	0.124461
"criminal law"	0.120634
"Civil Rights Act"	0.114926
guideline	0.110974
zoning	0.110723
constitution	0.108622
"Anti-Ballistic Missile Treaty"	0.10461
regulation	0.104419
"Clean Air Act"	0.104219
"ABM Treaty"	0.102018
"Clean Water Act"	0.101568
decree	0.0994544
"building code"	0.0968483
"Voting Rights Act"	0.0963504
covenant	0.0956137
"Geneva convention"	0.0946785
"antitrust law"	0.0943386
"Title VII"	0.0938798
code	0.0918525
"administrative law"	0.0916196
"organic law"	0.0913417
"Telecommunications Act"	0.0902236
"Basic Law"	0.088834
"labor contract"	0.0865842
"maritime law"	0.0847505
"Bill of Rights"	0.0845988
"abortion law"	0.0837031
"First Amendment"	0.0836646
doctrine	0.0835673
"fundamental principle"	0.0830275
"Endangered Species Act"	0.082995
directive	0.0827241
"commercial law"	0.0818814
rulebook	0.0815183
"international law"	0.0813988
"Title IX"	0.0806902
legislation	0.0801719
"Article @@"	0.0799725
stipulation	0.0796959
"employment contract"	0.0786166
ABM	0.0781033
Ada	0.0749823
"labor agreement"	0.0749651
"U.N. Resolution @@@"	0.0744688
protocol	0.0740395
Treaty	0.0737823
"poison pill"	0.0716954
"Proposition @@"	0.0705315
edict	0.0704531
"United Nations Charter"	0.0694367
"tax change"	0.0692621
"Helms-Burton Act"	0.0690446
proclamation	0.0690098
"Disabilities Act"	0.0688195
"Maastricht Treaty"	0.0685871
"Fourth Amendment"	0.0680862
provision	0.067857
"master plan"	0.0677167
"Article @"	0.0676498
norm	0.0675858
amendment	0.067112
"electoral system"	0.0669443
clause	0.0669147
prospectus	0.0666562
criteria	0.0665627
lockbox	0.0661537
"trade policy"	0.0652005
"ground rule"	0.0651456
"board of directors"	0.0646366
VFA	0.0644745
"Resolution @@@@"	0.0636413
"Criminal Procedure Law"	0.0630868
commandment	0.0629237
"reorganization plan"	0.0624933
"counsel law"	0.0624495
"Oslo Accords"	0.0623402
"Article @@@"	0.0619457
precedent	0.0614585
"safety standard"	0.0613293
"compromise plan"	0.0610078
"attorney-client privilege"	0.0607204
manual	0.060233
"International Covenant"	0.0601822
ERISA	0.0593022
"Vienna Convention"	0.0592494
"trade embargo"	0.0589007
"legal document"	0.0587298
"U.N. Charter"	0.0586922
"Second Amendment"	0.0586626
"quota system"	0.0584556
wording	0.058152
pact	0.057676
"Proposition @@@"	0.0575586
"Fifth Amendment"	0.0572529
"written agreement"	0.05677
"trade agreement"	0.0565528
"executive director"	0.0563093
"legal code"	0.0560128
"European Convention"	0.055969
"Proposition @"	0.0558165
history.	0.0551842
Sharia	0.0550497
"legal system"	0.0544988
"rating system"	0.0544774
"licensing agreement"	0.0543952
"Community Reinvestment Act"	0.0542446
"Section @"	0.053808
ethic	0.0531771
"business plan"	0.0530194
"law of nature"	0.0529019
"Sino-British Joint Declaration"	0.0526557
COACHES	0.0523812
"contingency plan"	0.0521442
Helms-Burton	0.052033
"rule of evidence"	0.0520158
"tax system"	0.0516018
"voting system"	0.0513555
"Declaration of Independence"	0.0510091
"North American Free Trade Agreement"	0.0505966
precept	0.0503216
"civil law"	0.0502365
"computer code"	0.0501921
"plan of action"	0.0501515
curriculum	0.0501002
"basic principle"	0.0499999
"Universal Declaration"	0.0499149
"U.N. Security Council Resolution @@@"	0.0496728
definition	0.0495432
prohibition	0.0494901
manifesto	0.0492436
"line of products"	0.0492168
NAFTA	0.049165
"Lusaka Peace Accord"	0.0491474
"Resolution @@@"	0.0489149
"accounting system"	0.0489048
Circular	0.0485579
"policy change"	0.0485105
"Kyoto Protocol"	0.0483646
parameter	0.0483418
Shariah	0.0482998
Measures	0.0478987
"price control"	0.0478548
"safety measure"	0.0477091
"bond offering"	0.047705
classification	0.0476952
"legal instrument"	0.0475836
"scoring system"	0.0475791
preamble	0.0472664
handbook	0.0471508
confidentiality	0.0471258
spokesperson	0.0468954
"battle plan"	0.0468351
intranet	0.0467449
Etiquette	0.0467322
injunction	0.0466884
"pricing system"	0.0464728
"surveillance system"	0.0463816
embargo	0.0462378
divestitures	0.0459969
"rule of law"	0.0458422
governance	0.0458378
"tax rate"	0.0458343
"Action Plan"	0.045823
"merger agreement"	0.0457005
"right to privacy"	0.0456964
motto	0.0454556
curfew	0.0454367
ETHICS	0.0454269
"financial statement"	0.0453888
tort	0.0450511
"development plan"	0.0449757
curricula	0.0446858
letterhead	0.0446285
"Balanced Budget Act"	0.0445985
"U.N. Convention"	0.04454
livery	0.0444618
hierarchy	0.0444324
blueprint	0.0443964
revision	0.0442777
quorum	0.0442404
"Lusaka Protocol"	0.0442157
"advisory board"	0.044142
Shays-Meehan	0.0440098
"defense budget"	0.0438145
Koran	0.0438003
"name change"	0.0437596
"finding of fact"	0.0437486
"political platform"	0.0435623
encyclical	0.0434955
oversight	0.0434265
oath	0.0432273
"current system"	0.0431622
timetable	0.0430136
intranets	0.0429957
))
(byline (desc 4073.77) (sims
Dateline	0.123922
nearsightedness	0.0619487
typo	0.0608913
Lede	0.0604733
pseudonym	0.0604213
caption	0.0600223
disclaimer	0.0556445
"family name"	0.05516
"Los Angeles Daily News"	0.054285
"return address"	0.0540048
notation	0.0510802
"given name"	0.0495894
"last name"	0.0495477
blurb	0.0478433
"name and address"	0.0474095
info	0.0464881
obit	0.0458986
proviso	0.0456715
"second unit"	0.0456126
password	0.0454599
surname	0.0453909
"Peter Arnett"	0.0449303
grafs	0.0441834
"bag of tricks"	0.0435459
imprimatur	0.043316
paragraph	0.0432329
"David Remnick"	0.0425728
alias	0.0423183
bombshell	0.0420523
"yellow light"	0.0417685
"pop quiz"	0.0416876
"blank check"	0.041595
rumination	0.0412906
"break of serve"	0.041282
"tag line"	0.0410697
misspelling	0.0409274
wording	0.0408237
wrinkle	0.0404665
epiphany	0.0404153
bookmark	0.0400693
))
(bypass (desc 5399.36) (sims
angioplasty	0.199187
liposuction	0.145165
salchow	0.142281
LASIK	0.136561
hernia	0.123686
gallbladder	0.109151
stents	0.100307
mastectomy	0.0971422
transplant	0.0965536
surgery	0.0946725
augmentation	0.0910634
Caesarean	0.0901648
"space walk"	0.0883786
aneurysm	0.0857891
"coronary artery"	0.0814148
"plastic surgery"	0.0813312
"face lift"	0.0809816
stent	0.0787987
flyover	0.0760083
"magnetic resonance imaging"	0.0758462
"ring road"	0.0755373
blockage	0.0753385
vasectomy	0.0740895
biopsy	0.0737459
transplantation	0.0728292
"heart valve"	0.0726332
"surgical procedure"	0.0715144
"cosmetic surgery"	0.0713392
resuscitation	0.0671439
dialysis	0.0667153
facelift	0.0664114
"health check"	0.0643767
graft	0.0640613
arrhythmia	0.063732
axel	0.0628346
amputee	0.0609777
whammy	0.0604139
"fire wall"	0.0597882
expressway	0.0591467
"National Missile Defense"	0.0587242
"summary judgment"	0.0584501
artery	0.0577231
reflux	0.0574836
chemotherapy	0.0574616
"stay of execution"	0.0571696
triage	0.0569753
"muscle cell"	0.0562655
detoxification	0.0562336
"medical exam"	0.0562246
decker	0.0558434
fertilization	0.0557414
suction	0.0556368
lifesaving	0.0552904
lutz	0.0550322
amputation	0.0550175
mammogram	0.0546379
defibrillator	0.0545153
cataract	0.0543863
transfusion	0.0540605
viaduct	0.05402
circumcision	0.0535322
spacewalk	0.0534905
"kidney stone"	0.0534369
sterilization	0.0534281
"highway system"	0.0534212
psychotherapy	0.0533181
"physical therapy"	0.0532806
"medical examination"	0.0532328
"caesarean section"	0.0528138
"blood vessel"	0.0527834
catheter	0.0525407
"Gorges Dam"	0.0521688
"name change"	0.0521157
spacewalks	0.0520126
scull	0.0520112
C-section	0.0519444
kidney	0.0519167
decontamination	0.0517006
Chemo	0.0516598
pancreas	0.0514499
"trunk line"	0.0510761
rollovers	0.050897
commutation	0.0498424
radiotherapy	0.0496206
circumnavigation	0.0493123
"suspension bridge"	0.0492603
"medical checkup"	0.0488485
clot	0.0482603
EKG	0.0482537
MRI	0.0480983
"spy satellite"	0.0479082
"break of serve"	0.0477842
"data processing"	0.0477002
"blood transfusion"	0.0475375
"rail line"	0.0474789
underpass	0.0472188
cornea	0.04719
"domed stadium"	0.0468375
"fire drill"	0.0467248
firewalls	0.0463261
liver	0.0462049
"radio telescope"	0.0460477
autopsy	0.046035
pacemaker	0.0458494
"service break"	0.0457072
"heart surgeon"	0.0453519
bladder	0.0449544
reassignment	0.0449008
"transmission line"	0.0448925
"blood test"	0.0447945
suture	0.0446331
"brain tumor"	0.04463
"sea lane"	0.0446248
chairlift	0.0444814
fallback	0.0444556
"skin cancer"	0.0444091
postmortem	0.0443013
hospitalization	0.044274
defibrillators	0.0439422
"Erie Canal"	0.0439138
cofferdam	0.0437909
lockbox	0.0435341
taxiway	0.0434627
overpass	0.0433564
frontage	0.0432229
taps	0.0432047
"breast implant"	0.0429608
anesthesia	0.0428417
refurbishment	0.0427278
"local area network"	0.0426819
"written language"	0.0425876
"coat of paint"	0.0425709
"military drill"	0.0425303
sinus	0.0423556
sinew	0.0423082
Ellipse	0.0422541
heliport	0.0421842
verification	0.0421461
megaplexes	0.042117
three-mile	0.0419224
modification	0.0419091
"colon cancer"	0.0418615
ultrasound	0.0418277
angiogenesis	0.0418143
moat	0.041714
physicals	0.0416941
scaffold	0.0416308
"refresher course"	0.0416066
"civic duty"	0.0415352
interchange	0.0414418
"hundred million dollars"	0.0414295
"Miller Park"	0.0413406
"science museum"	0.0412604
"tax avoidance"	0.0411676
clemency	0.0411608
superhighway	0.0411246
"fishing license"	0.0411028
"rate hike"	0.041043
"line of business"	0.0409681
retrenchment	0.0408819
plunger	0.0407875
spraying	0.0407031
somersault	0.0405714
"bone marrow"	0.0404606
ventilation	0.0404565
capillary	0.0403582
lung	0.0403261
ACL	0.0401924
"Medicare HMO"	0.0401747
"rest day"	0.0401226
mammography	0.0401064
exorcism	0.0400377
))
(byproduct (desc 12828.2) (sims
by-product	0.115172
byproducts	0.101043
outgrowth	0.0892303
indicative	0.0829837
consequence	0.0756325
indication	0.0686721
reflection	0.060891
upshot	0.0586648
contaminant	0.0576404
manifestation	0.0571003
"side effect"	0.0557562
aspect	0.0538993
culmination	0.0514087
reminder	0.0512946
determinant	0.0510377
downside	0.0507739
continuation	0.0485594
misreading	0.0478673
residue	0.0474726
undesirable	0.047141
proof	0.0466861
carcinogen	0.0456065
"turn of events"	0.045481
confluence	0.045017
side-effects	0.0430191
paradox	0.0424069
barometer	0.0421557
occurrence	0.042005
streamlining	0.041807
phenomenon	0.0417734
"amino acid"	0.0408815
aberration	0.0408732
corrective	0.0404327
hallmark	0.0404283
implication	0.0402211
"chemical agent"	0.0401623
isotope	0.0400135
))
(byproducts (desc 7539.21) (sims
by-product	0.213887
condensate	0.109033
"dairy product"	0.108317
byproduct	0.101043
residue	0.0966848
contaminant	0.0906205
"animal product"	0.0867348
derivative	0.0826601
solvent	0.0810758
offal	0.0790413
"food product"	0.0787254
foodstuff	0.0772169
chemical	0.077117
effluent	0.0766073
petrochemical	0.0745069
poultry	0.0736066
petroleum	0.0734208
gasses	0.0728329
pesticide	0.0698286
"liquefied petroleum gas"	0.069263
pollutant	0.0683537
additive	0.0666415
pharmaceutical	0.0665033
"futures price"	0.0661911
fertilizer	0.0650713
toxin	0.0649904
"palm oil"	0.0648214
timber	0.0641664
seafood	0.0640013
defoliant	0.0637746
"soybean oil"	0.0635729
metal	0.0632885
meat	0.0625092
mineral	0.0624689
"food additive"	0.0622819
oilseed	0.0622769
"fuel oil"	0.0622544
fume	0.0621373
emission	0.0619746
"citrus fruit"	0.061846
"diesel oil"	0.0617847
processing	0.0616693
"building material"	0.0616003
herbicide	0.0612722
Coal	0.0598945
"heating oil"	0.0595808
substance	0.0590934
PCBs	0.0590453
commodity	0.0585296
pork	0.0585075
"iron ore"	0.0576197
"waste material"	0.0571112
"raw material"	0.0571078
"natural gas"	0.0570461
nitrate	0.0567308
methanol	0.0566223
machinery	0.0564495
"crude oil"	0.0562692
Livestock	0.0562069
dairy	0.0560767
"frozen food"	0.0560547
fibre	0.0560182
"cooking oil"	0.0553822
"organic compound"	0.0550707
fungicide	0.054938
grain	0.0545571
cereal	0.0541549
hydrocarbon	0.0536614
preservative	0.0536245
soybean	0.0535543
wheat	0.0534567
"vegetable oil"	0.0534483
"side effect"	0.0532593
"sugar cane"	0.0532411
microorganism	0.0531934
"chemical agent"	0.05318
ore	0.0531674
insecticide	0.0530782
plutonium	0.0529245
ethanol	0.0526896
sludge	0.0526877
side-effects	0.052372
"chemical compound"	0.0522722
fiber	0.0520162
vapor	0.0519428
mutton	0.0517461
Sewage	0.0515994
cocoa	0.0514352
"human waste"	0.0510797
maize	0.0510335
"synthetic fiber"	0.0508716
"wheat flour"	0.0507643
kerosene	0.0506769
cotton	0.0504781
gasoline	0.0504447
"growth hormone"	0.0501126
Liquid	0.0500429
pathogen	0.0498573
molasses	0.0498563
tritium	0.049789
protein	0.049566
jute	0.049347
ethylene	0.0493068
impurity	0.0492781
"coconut oil"	0.0492739
particulates	0.0491888
stockpile	0.0490953
textile	0.0490607
"precious metal"	0.0490168
isotope	0.0484381
microbe	0.0480996
"carbon monoxide"	0.0476907
turbine	0.0474035
rubber	0.0467123
cellulose	0.0466705
fodder	0.0466688
Copper	0.0465233
lumber	0.0465061
wool	0.0464938
"soya bean"	0.0464139
manure	0.0463051
leftover	0.0460817
"egg yolk"	0.045523
fowl	0.0453671
contamination	0.0450684
metallurgy	0.0450459
"cashew nut"	0.045028
dioxins	0.0450252
garment	0.0448319
"fruit juice"	0.0448309
refining	0.0448247
"chemical industry"	0.0445371
odor	0.0444365
lubricant	0.0444262
algae	0.0442472
pollen	0.0440649
"powdered milk"	0.0438614
organism	0.0436656
Sarin	0.0436102
"caustic soda"	0.0435659
"home appliance"	0.0435542
wastewater	0.0435393
"ice crystal"	0.0433975
Pertamina	0.0433919
extraction	0.0431602
soot	0.0430014
cu.m	0.0429405
semiconductor	0.0429251
acid	0.0428252
Garbage	0.0427741
phosphate	0.0427724
beverage	0.0427419
ammonia	0.0427031
"tax income"	0.0426649
particle	0.0426006
"life form"	0.0424397
parasite	0.042406
pest	0.04238
"free radical"	0.0422629
nutrient	0.0422442
"chemical reaction"	0.0422399
"cane sugar"	0.0421976
spore	0.0421316
uranium	0.0420839
"machine tool"	0.0418102
bran	0.0417836
carcinogen	0.0417702
munition	0.0415489
carcass	0.0415234
appliance	0.0414489
pulp	0.0411823
"diesel fuel"	0.0409205
"three pitchers"	0.0407427
banana	0.0406609
"toxic waste"	0.0405703
plankton	0.0404889
apparel	0.0400839
"pig iron"	0.0400532
))
(Byrd (desc 15528.3) (sims
"James Byrd Jr."	0.227132
"James Byrd"	0.160416
Moxley	0.159426
JonBenet	0.149949
Hajdari	0.13927
Slepian	0.138393
Shepard	0.137355
Starovoitova	0.131008
Diallo	0.129589
Gaither	0.128207
Levin	0.127685
Webdale	0.126042
Dahmer	0.121881
"JonBenet Ramsey"	0.121268
Gerardi	0.120763
Lautenberg	0.112712
Dorismond	0.112143
Fahey	0.106395
Guerin	0.105441
Sheppard	0.102946
Bellush	0.102585
"Matthew Shepard"	0.0984927
Baez	0.0984393
Ileto	0.098437
Winchell	0.0983366
Kennedy	0.0980467
Daschle	0.0966672
"Martha Moxley"	0.0961777
"Amadou Diallo"	0.093793
Benton	0.0919712
Baucus	0.0903905
Rabin	0.0902219
Middleton	0.0895223
Moynihan	0.0891517
Faison	0.0890151
Hani	0.0888294
wheeler	0.0881643
Lott	0.0879705
Amedure	0.0877424
Lin	0.0869736
O'Hair	0.0865529
Coverdell	0.0857418
Norberg	0.0854956
Dodd	0.0844888
Nyerere	0.0842763
Coughlin	0.0835887
Goldstein	0.0831852
Barton	0.0821798
"Patrick Dorismond"	0.0820087
Lollar	0.0814169
Gramm	0.0807802
Armstrong	0.0807148
Robb	0.0797128
Barrett	0.079689
Abiola	0.078964
Cosby	0.0782104
Chafee	0.0778815
"Robert Byrd"	0.0776958
Schumer	0.0763999
LOUIMA	0.075941
Flores	0.0756814
Dingell	0.074576
Watkins	0.0745747
Ruiz	0.0731095
"black man"	0.0727489
Costin	0.0724098
Cleland	0.0720302
Pamela	0.0718163
Gardner	0.071397
"Matthew Eappen"	0.0711273
DiMaggio	0.0710365
Feinstein	0.0707621
Tuinei	0.0705386
Deng	0.0704545
Grassley	0.0701795
Hess	0.0701767
Lieberman	0.07013
Gorton	0.0700825
Sund	0.0699458
Nelson	0.0697719
Reid	0.0697099
Wellstone	0.069458
Graham	0.0692304
"Robert C. Byrd"	0.0691191
Thompson	0.0690996
Kerry	0.0690229
Hernandez	0.0689761
Biko	0.0689476
Castro	0.0688468
Hollings	0.068753
Vasquez	0.0684126
Johnson	0.06831
Feingold	0.068272
Hussein	0.0680252
Silverman	0.067811
Snead	0.0674389
Arkan	0.0673034
Matthew	0.0671994
"loved one"	0.0668377
Harkin	0.066406
Krasniqi	0.0661107
Biden	0.0660586
Ramirez	0.0658
Miller	0.0657088
Garcia	0.0656613
Aquino	0.0655153
Cuomo	0.0653672
Diana	0.0653301
Sharif	0.0653163
Pelosi	0.0653007
Gonzalez	0.0651576
Bulatovic	0.0649313
king	0.0647705
"John Kennedy Jr."	0.0647371
Clarke	0.0647353
Markey	0.0644914
Rivera	0.0644825
Garza	0.0643644
Ferguson	0.0642981
Binion	0.0642011
"Thomas Youk"	0.0641117
Greenberg	0.0640363
Archer	0.0638606
Vargas	0.0637057
Berenson	0.0636663
Maddux	0.0636411
Powell	0.0635085
Skakel	0.0635077
Craig	0.0630783
Lopez	0.0630758
Hawkins	0.0628506
"Nicole Brown Simpson"	0.0628231
Bauer	0.0627671
Breaux	0.0627453
Dudayev	0.0627281
"JFK Jr."	0.0626778
Cohen	0.0626622
Reyes	0.0625258
"Kendra Webdale"	0.0625211
Sanders	0.0624031
Rockefeller	0.0620671
Schulz	0.0620216
sightseer	0.0619671
Hyde	0.0619661
Ashcroft	0.0618796
Bennett	0.0617717
hatch	0.0617048
Obuchi	0.0616812
Holmes	0.0616761
Lennon	0.0615368
Stahl	0.0614084
Dominguez	0.0614037
Welch	0.0611574
Abbott	0.0611152
Mallory	0.0611002
Kirby	0.0609685
Schilling	0.0609367
Assad	0.0608688
Hutchison	0.0606748
Howell	0.0606067
deceased	0.0606039
Stanley	0.0605914
Papandreou	0.0605506
Raznatovic	0.0603322
O'Connor	0.0603282
McIntosh	0.0603211
Valdes	0.0602938
Brawley	0.0602686
Irwin	0.0601971
Helms	0.0601534
Hart	0.0601258
Wright	0.0601169
Meehan	0.0600446
Reed	0.0600329
Carnegie	0.0599439
bullock	0.0598708
Lewis	0.0597709
"Galina Starovoitova"	0.0596361
Eizenstat	0.0595987
Elarton	0.0595605
Bradley	0.0595216
Torres	0.0594536
Curley	0.0593063
Murray	0.0592391
Nivel	0.0592119
collins	0.059142
smith	0.0590851
Ellis	0.0590136
"little girl"	0.0590055
Chamberlain	0.0589842
Jones	0.0589301
brewer	0.0587596
Zimmerman	0.058754
Robertson	0.0587065
Leahy	0.0586577
Ricart	0.0586531
Fitzgerald	0.0586528
Clark	0.0584746
girlfriend	0.0584262
Robinson	0.0582393
))
(Byrds (desc 1381.65) (sims
"Beach Boys"	0.196641
"Grateful Dead"	0.118908
"Rolling Stones"	0.105089
"Led Zeppelin"	0.0991997
"Stevie Wonder"	0.0983621
"Pink Floyd"	0.0931422
"Linda Ronstadt"	0.0786414
U@	0.0784824
"Bob Dylan"	0.0775465
"Bruce Springsteen"	0.0755788
"Van Morrison"	0.0755677
"Fleetwood Mac"	0.0721206
"Jimi Hendrix"	0.0700499
"Joan Baez"	0.0692714
"Tom Petty"	0.0676748
"Pete Seeger"	0.0674345
"Dixie Chicks"	0.0650736
"Kris Kristofferson"	0.0649273
"Dave Matthews"	0.0639382
"George Harrison"	0.0639285
"Loretta Lynn"	0.0635119
"Neil Young"	0.063499
"Ray Charles"	0.0626811
"James Brown"	0.0621956
"Dolly Parton"	0.0609109
"Paul Simon"	0.0583383
Monkees	0.0580686
R.E.M	0.0564804
Rhoda	0.055306
"Brian Wilson"	0.0552337
"Frank Sinatra"	0.0544842
Aerosmith	0.0529074
"George Jones"	0.0528586
Mensa	0.0524819
"Woody Guthrie"	0.0519631
"Bob Marley"	0.0511689
"Lou Reed"	0.0506902
"Limp Bizkit"	0.0501088
"Joni Mitchell"	0.0495615
"Elton John"	0.0492155
Motown	0.0491315
"Alice Cooper"	0.0485545
whomever	0.0471332
kink	0.0465878
"paramilitary organization"	0.0465521
"Mormon Church"	0.0463622
"Rod Stewart"	0.0456424
Korn	0.0452596
"Mick Jagger"	0.0451945
"Congressional Black Caucus"	0.0450358
Menudo	0.0447139
"Willie Nelson"	0.0445067
Fugees	0.0436769
"blue angel"	0.0429979
MRTA	0.0428892
"Public Enemy"	0.0428296
"Lyle Lovett"	0.0426178
"David Copperfield"	0.0424124
"Chrissie Hynde"	0.0418708
"Electronic Frontier Foundation"	0.0412851
"Michael Jackson"	0.0410818
"Housing Authority"	0.0408606
"Randy Newman"	0.0407627
"Southern Poverty Law Center"	0.0406173
"Eric Clapton"	0.0403835
"Monetary Policy Committee"	0.0403384
"Israeli Knesset"	0.0402024
))
(Byrdsong (desc 904.84) (sims
Grunow	0.154602
Amedure	0.142331
Costin	0.141691
RFK	0.135884
Slepian	0.135111
Borrego	0.132129
Phills	0.131416
Gerardi	0.131015
Durwood	0.130151
Dorismond	0.129793
Wannstedt	0.128927
Tilberis	0.128561
Blackman	0.127993
Yandarbiyev	0.127599
Holzman	0.125501
Ileto	0.124884
Bedell	0.122758
Tierney	0.122531
Guerin	0.118983
Biko	0.11733
Youk	0.116707
"Jim Harrick"	0.116228
Machel	0.114856
Dudayev	0.11215
Blackmun	0.111009
Postel	0.110449
Schottenheimer	0.109302
Merritt	0.10872
Starovoitova	0.10814
"Patrick Dorismond"	0.106139
"Ruiz Massieu"	0.104424
Kerik	0.104299
Ashbrook	0.103956
Hobson	0.102621
Neulander	0.102417
"Bora Milutinovic"	0.101272
Perrot	0.101102
Petkovsek	0.100902
Hajdari	0.100859
Escobar	0.100503
Naumann	0.0997134
Siskel	0.0996071
Layden	0.0991923
Faget	0.0991638
Atkinson	0.0981746
Landry	0.0978123
"June Jones"	0.0965698
Camacho	0.0960851
Batouty	0.0959168
Raznatovic	0.0947824
Harrick	0.0944194
Bulatovic	0.0941639
Dahmer	0.0927676
Lawler	0.091887
Stoneman	0.0917958
DuBose	0.091502
Hartman	0.0910205
Cobain	0.0908212
Fahey	0.0906557
Burks	0.0905338
Norberg	0.0896483
Talebi	0.0894377
Martz	0.0891259
sexton	0.0888302
Montalvo	0.0887852
Tuinei	0.0884734
Krasniqi	0.0882783
Webdale	0.0879402
Stayner	0.0878296
Nkabinde	0.0875632
Kiareldeen	0.0872058
Yarmila	0.0867312
Coverdell	0.0864316
Shurmur	0.0862641
"Matthew Eappen"	0.0859
Leto	0.0848697
Hinckley	0.0845523
Harrelson	0.0842212
Passarella	0.0833444
Lennon	0.0833341
Hudek	0.0831743
"James Byrd"	0.0825467
Zenga	0.0820773
"Griffith Joyner"	0.0816294
Wilkerson	0.081576
Meskini	0.0810852
Dungy	0.0799577
DiCarlo	0.0799149
Skiles	0.0796341
Whyte	0.0795578
Hartsburg	0.0792061
Lambert	0.0789115
Knievel	0.0788729
nance	0.0787534
Garzon	0.078606
Merrick	0.0783048
Allende	0.078261
"Dennis Erickson"	0.0781664
"John Robinson"	0.0780896
Kazhegeldin	0.0779889
Ponciano	0.077826
Autry	0.0777745
Barad	0.0776831
Grissom	0.0775173
Hess	0.0775062
"Medgar Evers"	0.0774916
Jauron	0.0774622
Fuentes	0.0772347
Whittingham	0.0770254
Matasareanu	0.0770182
DeBerg	0.0769445
Loeb	0.0768115
Calipari	0.0766756
Zambrano	0.0764261
Montiel	0.075614
Corcoran	0.0755651
"James Byrd Jr."	0.075198
Shoate	0.0750636
Tarawneh	0.0749492
"Leon Hess"	0.0747106
Snead	0.074666
Faison	0.0746496
Sealy	0.0746481
Keenan	0.0744501
Doherty	0.0742105
Faulder	0.0741539
Hallinan	0.0741533
Lambright	0.0738234
"Robert Kennedy"	0.0737738
Kovacevic	0.0732729
Drexler	0.0732641
Drury	0.0732054
"welfare worker"	0.0724952
Arens	0.0722947
Goodrich	0.0722
Monson	0.0721692
MCGEE	0.0721103
Schulz	0.0720677
Jenoff	0.0717906
Mellon	0.0715164
D'Amico	0.071267
Christensen	0.0711893
Logue	0.0711061
Odai	0.0708831
Soares	0.0708762
"Robert F. Kennedy"	0.0708538
Gathers	0.0707772
Parris	0.0707487
Hearn	0.070717
Glanville	0.0707004
Beye	0.0705789
Milutinovic	0.0705677
"Amadou Diallo"	0.0703148
Binion	0.0703054
Moxley	0.0701606
Baez	0.0700186
Saunders	0.0698225
Schoenfeld	0.0696709
Cassidy	0.0694819
Nyerere	0.069469
Matthau	0.0694206
"Johnny Oates"	0.069302
Haley	0.0691709
Tong	0.0689106
Stahl	0.0688333
Esposito	0.0687662
HITMAN	0.0684513
Westphal	0.0683645
Modell	0.0683483
"Linus Torvalds"	0.0681225
Henson	0.0681048
"Pol Pot"	0.0677192
Levesque	0.0676687
Bellush	0.0676423
"Mike Hargrove"	0.0676209
Schreiber	0.0676084
Trudeau	0.0674117
bock	0.0672755
"John Lennon"	0.0672723
"Charles Lindbergh"	0.0671564
Arkan	0.0671462
Hani	0.0671336
Aliotti	0.0669198
Kopp	0.0667774
bullock	0.0667285
Habib	0.0665066
Neuheisel	0.0664573
Harnisch	0.0664417
"Lawton Chiles"	0.0662993
Rankin	0.066237
Holtz	0.0661534
Herron	0.0660675
Lombardi	0.0658839
Borges	0.0658105
Koznick	0.0656889
Mendoza	0.065604
Blazevic	0.0655494
Bloch	0.0655101
al-Tikriti	0.0652345
Ricart	0.0650908
))
(Byrne (desc 2551.21) (sims
Meissner	0.12241
Ono	0.116623
Grunwald	0.11662
Winslet	0.110739
Greenwald	0.110453
Lowry	0.106388
Cline	0.105128
Eizenstat	0.10165
Menchu	0.0993249
McDonnell	0.0985125
Zuckerman	0.0983587
Skiles	0.09702
Cooley	0.0964716
Merritt	0.0957621
Rendell	0.0954911
Lange	0.0951839
Marchand	0.0951361
Kirkpatrick	0.0949931
Vogel	0.0947374
Schwartz	0.0938688
Ruehe	0.0932701
Keenan	0.0931825
Hecht	0.0931408
Carmichael	0.092212
bock	0.0914886
Farber	0.0914841
Markovic	0.0914101
Patten	0.0913348
Pearce	0.0908142
Edelstein	0.0896888
Aquino	0.0896859
Sommer	0.0894943
LaPierre	0.0893869
Flanagan	0.0887842
Duffy	0.0887809
Haines	0.0885798
Kagalovsky	0.088518
McMillan	0.0884188
Arbour	0.0882199
Singson	0.088083
Waxman	0.0872284
Ebersol	0.0868657
Barad	0.0868185
Henning	0.0866601
Zambrano	0.0865492
Atkinson	0.0861479
Braswell	0.0860561
Monson	0.0858032
Hess	0.0855042
Briscoe	0.0855014
Passarella	0.0854976
Fleischer	0.0854752
Brandt	0.0854335
Kingsley	0.0854154
Dwyer	0.0851874
Rubinstein	0.0850468
Neff	0.0847619
Sheedy	0.084517
Yoon	0.0844607
Whitsitt	0.0842512
Lowery	0.0842005
Jeffers	0.084178
Advani	0.0840105
Rossotti	0.0839611
Rudenstine	0.0837592
Goldin	0.0837584
Cleary	0.0836866
Baum	0.0835747
Kelso	0.0833128
Kurtz	0.083191
Verney	0.0829633
Jarvis	0.0829279
FitzPatrick	0.0828528
Snowe	0.0825507
Alderson	0.0825421
Roberson	0.0824497
McKenna	0.0822475
Cowan	0.0821235
Flockhart	0.0820353
Azizah	0.081863
Leigh	0.0814347
Bustamante	0.081427
Berman	0.0812803
Muller	0.0812729
DeVito	0.080859
swank	0.08077
Hartman	0.0806847
Silverstein	0.0806494
Wasserstein	0.0806244
Ivey	0.0806184
Horton	0.0803502
Sheehy	0.0803255
Forrest	0.0799014
Lurie	0.0796507
McFadden	0.0796286
Weiner	0.0793464
Woodard	0.0793299
Shriver	0.079308
Molinari	0.0792636
Muir	0.0791941
Goossen	0.0791876
Grossman	0.0790906
Levin	0.0789046
O'Connell	0.0787979
Rosenberg	0.0785027
Ribbeck	0.0784024
Zucker	0.0781762
Lundberg	0.0780442
Podesta	0.0778126
Hamlin	0.0777345
Sutherland	0.0777192
Schmid	0.0775688
Betts	0.0774527
Manuel	0.0772776
Beckwith	0.0771778
Meehan	0.0771572
Newhouse	0.0770742
Mortimer	0.077068
Jensen	0.0770439
Diouf	0.0770329
McManus	0.0769842
Ivester	0.0769298
Dowd	0.0768179
Berenson	0.0767798
Hartley	0.0766098
Midler	0.0765359
Mullinax	0.0765197
Schuerholz	0.076474
Hirst	0.07642
Diggs	0.0763949
Godfrey	0.0763094
Parrish	0.0761148
Guthridge	0.0760988
Kissinger	0.0760795
Fiorina	0.0760488
Sorensen	0.0760384
Jaffe	0.0759479
Echols	0.0758615
Manley	0.0757954
Weil	0.0756474
Kornberg	0.0755137
Wenger	0.0754946
Layden	0.0753374
Dinkins	0.0752651
Gooding	0.0750069
Mckee	0.0750003
BURNHAM	0.0749949
Sahadi	0.0749254
DuBose	0.0748369
Gutman	0.0746459
Bellamy	0.0746316
Hersh	0.0745278
Knapp	0.0745251
McCurry	0.0744792
Rosen	0.0744153
Gilman	0.0741299
Kurth	0.0741051
Redgrave	0.0740845
Chapman	0.0740782
Healy	0.0738214
Carlson	0.0738021
Hybl	0.0737751
Hauser	0.0737435
Hiddink	0.0737035
Mott	0.0736724
hoover	0.0736504
DeFrantz	0.0736453
Rosenthal	0.0734489
Rivlin	0.0733809
Farrell	0.0733075
Ruggiero	0.0732822
Summitt	0.0732133
Schiff	0.0731702
Allard	0.0731602
O'Hara	0.0730006
Dixon	0.0729847
Aventajado	0.072948
Ikeda	0.0729279
Schafer	0.0729213
Herrera	0.0727636
Hagel	0.0726978
Guerin	0.0726143
Sheehan	0.0724894
Tran	0.0724213
McConnell	0.0724069
Zellweger	0.0723966
Tharp	0.0723429
Corcoran	0.0722663
Couric	0.0722481
Joklik	0.0721408
Patel	0.0720764
Beathard	0.0720176
Napolitano	0.071953
Engelberg	0.0719423
Swenson	0.0719223
Garber	0.0719154
Stacy	0.0718038
Doherty	0.0717041
Shalala	0.0716991
Ackerman	0.0716627
))
(Byron (desc 5969.64) (sims
Wayne	0.104711
Jeff	0.0942691
Alan	0.0891525
Andrei	0.0890885
Steven	0.0884185
Gerald	0.0882336
Steffi	0.0878821
Roger	0.0878238
Brian	0.0851967
Jason	0.0842915
Dominic	0.0830771
Ronald	0.0823984
Justin	0.0818783
Ramon	0.0817208
Carl	0.0813053
Gerard	0.0801646
Reggie	0.0798634
Gary	0.078973
Noel	0.0787517
non-Hispanic	0.0779086
Fred	0.077175
Michael	0.0768502
Eric	0.0767759
Albert	0.0763674
Dave	0.0762597
Jim	0.0762534
Bruce	0.0762433
Stephen	0.0761693
Randy	0.0747212
Jeb	0.0743267
Darren	0.0742001
Richard	0.07408
Tim	0.0739299
Patrick	0.0737285
Joe	0.0734663
Carlos	0.0734516
Peter	0.0730508
Chris	0.0730169
Jake	0.0727462
Garth	0.0726937
Steve	0.0722209
Eddie	0.0720262
Danny	0.0719684
Paul	0.0715312
Ralph	0.0713284
Raul	0.0712797
Woodruff	0.0712176
Josh	0.0708513
Kevin	0.070408
Phil	0.0700735
Larry	0.0699614
matt	0.0697372
Pavel	0.0688998
Jonathan	0.0688209
tom	0.068715
Luis	0.0680069
"Earl Spencer"	0.0678926
Ben	0.0675026
Mario	0.0674766
Walter	0.0673299
William	0.0670681
David	0.0667592
Menuhin	0.0665159
Jamie	0.066303
Owen	0.0659196
Tony	0.0656554
Terry	0.0655452
Bernie	0.0654783
Kenny	0.0653799
Darryl	0.0653311
Anthony	0.0651086
Brett	0.0651036
Andy	0.0648442
Vladimir	0.0647855
Todd	0.0647131
Keith	0.0643666
Hoffmann	0.0643553
Ken	0.0643285
Robert	0.0642622
Dom	0.0640956
Adam	0.0634367
Clint	0.0633795
Charlie	0.0633482
John	0.0633447
Gilberto	0.0632071
Ed	0.063102
mike	0.0630702
"George W."	0.062435
Rick	0.0620731
Ted	0.0619467
Neil	0.0615987
Andre	0.0615238
Terrell	0.0608086
Frank	0.0607906
James	0.0607519
Miguel	0.0604237
Greg	0.0603775
Antonio	0.0601031
Adrian	0.0598189
"Davide Sanguinetti"	0.059811
Theo	0.0596748
Ron	0.0595264
Ernie	0.059199
Alex	0.0591167
Manuel	0.0590803
Jeremy	0.0589838
Charles	0.0589574
Hugh	0.0589327
Evan	0.0588854
Dennis	0.0585275
Liam	0.058333
Bobby	0.0580069
Takanohana	0.0576915
Marvin	0.0576385
Jackie	0.0575851
Edward	0.0575321
Nicolas	0.0574258
Brent	0.0572462
Harry	0.0571899
Shawn	0.0571538
Ian	0.057132
Jimmy	0.057093
Louis	0.0570664
Joseph	0.0565721
"Lisa Raymond"	0.0565431
Vince	0.0562904
jack	0.0559904
Matthew	0.0559082
Arnold	0.0556072
Juan	0.0554365
Howe	0.055366
Baerga	0.0551655
Casey	0.0550231
"Sebastien Lareau"	0.0548801
Daniel	0.0548639
Leon	0.0546096
Simon	0.0546005
Robbie	0.0545806
Andrew	0.0544756
Calvin	0.0544514
Raymond	0.0543451
Henry	0.0542667
"Leander Paes"	0.0540313
Derek	0.0539984
Alfred	0.0538917
Bret	0.053804
Pedro	0.0538029
Stanley	0.0537186
George	0.0537004
Jerry	0.0536062
"Lori McNeil"	0.0534917
Roy	0.0534815
Ryan	0.0533417
Leo	0.0532351
Philip	0.0530557
sandy	0.0527845
Sean	0.0527659
Lindbergh	0.052707
Drew	0.0525618
Atler	0.0525077
Pete	0.0524046
Julian	0.0523014
Elgin	0.0522618
Marcus	0.0522262
Jose	0.0522067
Jacob	0.0519908
Nietzsche	0.0519682
Macdonald	0.0519439
Clement	0.051857
Roberto	0.0518408
douglas	0.0516631
Doug	0.0512492
Omar	0.0511906
Scottie	0.0510231
Edberg	0.0509803
Joel	0.0508597
JONAS	0.0507594
Gaudenzi	0.050693
Craig	0.0506293
Dan	0.0506232
Martina	0.0505728
T.J	0.0503975
Dion	0.0503879
Ivan	0.0501569
Marc	0.0500635
Peyton	0.0500108
Deion	0.0499382
Barry	0.0499256
Samuel	0.0498619
Curtis	0.0497865
Arthur	0.049783
Harold	0.0495926
"Byron Black"	0.0495745
"Emily Dickinson"	0.0494563
Sanguinetti	0.0494279
Joey	0.0492401
"Nicole Pratt"	0.0492285
Cody	0.0491744
Johansson	0.0491237
Donny	0.0491194
))
("Byron Black" (desc 6471.99) (sims
"Wayne Black"	0.35395
"Kenneth Carlsen"	0.327482
"Mariano Puerta"	0.315515
"Cara Black"	0.310448
"Albert Portas"	0.305771
"Nathalie Dechy"	0.300372
"Elena Likhovtseva"	0.295924
"Wayne Ferreira"	0.292998
"Francisco Clavet"	0.29207
"Magnus Larsson"	0.291769
"Magnus Gustafsson"	0.290293
"Jonas Bjorkman"	0.287781
"Magnus Norman"	0.28732
"Richard Fromberg"	0.284683
"Tamarine Tanasugarn"	0.282233
"Ai Sugiyama"	0.281915
"Sandrine Testud"	0.281107
"Jason Stoltenberg"	0.280591
"Thomas Enqvist"	0.280342
"Alberto Berasategui"	0.279945
"Dominique Van Roost"	0.27942
"Julie Halard-Decugis"	0.279216
"Sarah Pitkowski"	0.278554
"Felix Mantilla"	0.270814
"Arnaud Boetsch"	0.269376
"Nicolas Kiefer"	0.268857
"Arnaud Clement"	0.267148
"Thomas Johansson"	0.266743
"Barbara Paulus"	0.266591
"Dominik Hrbaty"	0.265576
"Hicham Arazi"	0.265187
"Magdalena Maleeva"	0.264808
"Carlos Costa"	0.264506
"Sergi Bruguera"	0.264247
"Ruxandra Dragomir"	0.262032
"David Prinosil"	0.261502
"Guillaume Raoux"	0.261464
"Irina Spirlea"	0.261447
"Hernan Gumy"	0.261157
Siemerink	0.260371
"Greg Rusedski"	0.259657
"Judith Wiesner"	0.259592
"Ramon Delgado"	0.258623
"Adrian Voinea"	0.256973
"Marat Safin"	0.25689
"Yevgeny Kafelnikov"	0.253407
"Younes El Aynaoui"	0.253264
"Goran Ivanisevic"	0.252763
"Mary Pierce"	0.252716
"Sabine Appelmans"	0.251914
"Jerome Golmard"	0.25169
"Anke Huber"	0.250156
"Naoko Sawamatsu"	0.249934
"Silvia Farina"	0.249647
"Natasha Zvereva"	0.249592
"Marc Rosset"	0.249535
"Fernando Meligeni"	0.249338
"Sebastien Lareau"	0.249036
"Nathalie Tauziat"	0.248813
"Iva Majoli"	0.248748
"Todd Martin"	0.248378
"Magui Serna"	0.248034
"Rainer Schuttler"	0.247499
"Davide Sanguinetti"	0.247473
"Richard Krajicek"	0.247118
"Amanda Coetzer"	0.246262
"Mark Philippoussis"	0.245882
"Carlos Moya"	0.245807
"Anne Kremer"	0.24558
"Paul Haarhuis"	0.245336
"Karim Alami"	0.245191
"Tommy Haas"	0.245164
"Fabrice Santoro"	0.245012
"Vincent Spadea"	0.244712
"Albert Costa"	0.244591
"Renzo Furlan"	0.243991
"Sebastien Grosjean"	0.243564
"Galo Blanco"	0.24351
"Alex Corretja"	0.24268
"Jan-Michael Gambill"	0.242129
"Conchita Martinez"	0.241775
"Sargis Sargsian"	0.241673
"Yayuk Basuki"	0.241382
"Tim Henman"	0.241252
"Andrea Gaudenzi"	0.240631
"Chanda Rubin"	0.23842
"Andrei Medvedev"	0.237906
"Nicolas Escude"	0.237588
"Christian Ruud"	0.237025
"Gianluca Pozzi"	0.235942
"Joannette Kruger"	0.235696
"MaliVai Washington"	0.235444
"Arantxa Sanchez Vicario"	0.235187
"Jim Courier"	0.235113
"Anne-Gaelle Sidot"	0.234762
"Arantxa Sanchez-Vicario"	0.233464
"Marcelo Rios"	0.233203
"Gustavo Kuerten"	0.233134
"Franco Squillari"	0.232989
"Mikael Tillstrom"	0.232883
"Thomas Muster"	0.231936
"Todd Woodbridge"	0.231377
"Michael Chang"	0.230716
"Florencia Labat"	0.230527
"Sjeng Schalken"	0.230411
"Leander Paes"	0.229834
"Cedric Pioline"	0.229647
"Chris Woodruff"	0.22932
"Scott Draper"	0.229043
"Patty Schnyder"	0.228744
"Jeff Tarango"	0.228466
"Brenda Schultz-McCarthy"	0.227993
"Kimberly Po"	0.226604
"Andrei Pavel"	0.226167
"Marcos Ondruska"	0.226144
"Grant Stafford"	0.225025
"Olga Barabanschikova"	0.224231
"Juan Antonio Marin"	0.223265
"Barbara Schett"	0.22323
"American Chanda Rubin"	0.221261
"Javier Sanchez"	0.221131
"Petr Korda"	0.220977
"Filip Dewulf"	0.22025
"Roger Federer"	0.22017
"Karol Kucera"	0.219107
"Nicolas Lapentti"	0.218665
"Elena Dementieva"	0.217826
"Bohdan Ulihrach"	0.217613
"Mariano Zabaleta"	0.217308
"Juan Carlos Ferrero"	0.21655
"Arnaud Di Pasquale"	0.216399
"Patrick Rafter"	0.216323
"Lisa Raymond"	0.21484
"Mark Woodforde"	0.214757
"Mark Knowles"	0.21297
"Miriam Oremans"	0.212747
"Amelie Mauresmo"	0.212683
"Nicole Pratt"	0.212617
"Alberto Costa"	0.212323
"Brett Steven"	0.212122
"Julian Alonso"	0.211945
"Daniel Nestor"	0.210543
"Lleyton Hewitt"	0.208746
"Michael Stich"	0.207277
"Andrew Ilie"	0.206064
"Neville Godwin"	0.205948
"Marcelo Filippini"	0.204386
"South African Amanda Coetzer"	0.203957
"American Todd Martin"	0.203193
"Daniel Vacek"	0.202943
"Australian Mark Philippoussis"	0.202916
"Andreas Vinciguerra"	0.202362
"Vince Spadea"	0.201762
"Tatiana Panova"	0.201493
"Pat Rafter"	0.199478
"Slava Dosedel"	0.199245
"Martin Damm"	0.198374
"Michael Tebbutt"	0.197906
"Amy Frazier"	0.197631
"Tara Snyder"	0.197212
"Li Fang"	0.197022
"Xavier Malisse"	0.196605
"Karina Habsudova"	0.194506
"Russian Yevgeny Kafelnikov"	0.194227
"Richey Reneberg"	0.194039
"Nicklas Kulti"	0.189983
"Alex O'Brien"	0.189982
"Asa Carlsson"	0.189486
"Justin Gimelstob"	0.189254
"Jana Novotna"	0.187591
"Alexandra Fusai"	0.185649
"Guy Forget"	0.185292
"Boris Becker"	0.184721
"Steve Campbell"	0.18439
"Andre Agassi"	0.182897
"Mahesh Bhupathi"	0.181156
"Rita Grande"	0.180162
"John Van Lottum"	0.179829
"Paola Suarez"	0.177721
"Stefan Edberg"	0.177633
"Mary Joe Fernandez"	0.176933
Dragomir	0.175274
"Kimiko Date"	0.174701
"Lindsay Davenport"	0.174354
"Serena Williams"	0.173743
"Jacco Eltingh"	0.171694
"Catalina Cristea"	0.171416
"American Lindsay Davenport"	0.171285
"Corina Morariu"	0.171225
"Henrieta Nagyova"	0.170283
"Monica Seles"	0.170021
Corretja	0.168519
"Anna Kournikova"	0.168462
"Gong Zhichao"	0.168113
"Venus Williams"	0.16613
"Jennifer Capriati"	0.165959
"Max Mirnyi"	0.165233
"Jonathan Stark"	0.163965
"Martina Hingis"	0.163292
"Els Callens"	0.16312
Moya	0.162783
"Steffi Graf"	0.162653
"Kristie Boogert"	0.162381
Enqvist	0.160764
Kafelnikov	0.160203
"Sandon Stolle"	0.159917
"Mirjana Lucic"	0.159682
"American Michael Chang"	0.159598
Bjorkman	0.159265
"Barbara Rittner"	0.158513
"Kim Clijsters"	0.157203
"Jiri Novak"	0.156855
Kroslak	0.156852
"Wayne Arthurs"	0.156289
"Andres Gomez"	0.154729
"Jelena Dokic"	0.15435
Henman	0.153076
"Kveta Hrdlickova"	0.152093
"Peter Nicol"	0.152028
Kuerten	0.151837
Stoltenberg	0.151553
Rusedski	0.150752
Mantilla	0.148093
"Rodney Eyles"	0.147885
"Fung Permadi"	0.145916
Swardt	0.144983
"Pete Sampras"	0.142074
"Peter Gade Christensen"	0.141398
Testud	0.14083
"Olivier Delaitre"	0.140354
"Camilla Martin"	0.139614
Ivanisevic	0.139017
Ulihrach	0.137672
"Lori McNeil"	0.13727
"American Pete Sampras"	0.13679
Halard-Decugis	0.135715
Majoli	0.135416
Philippoussis	0.135022
Agassi	0.134783
Kucera	0.134317
"Ye Zhaoying"	0.132544
Mauresmo	0.131624
"Mats Wilander"	0.130833
Coetzer	0.12964
Hendrawan	0.129045
Sanchez-Vicario	0.129036
Haarhuis	0.128915
Korda	0.128809
Berasategui	0.128767
"Sanchez Vicario"	0.126793
Pioline	0.126703
"Denisa Chladkova"	0.126189
"Mia Audina"	0.125906
"Wang Liqin"	0.125895
"Helena Sukova"	0.124807
Ferreira	0.122312
Capriati	0.122206
"Paul Goldstein"	0.122001
"Dai Yun"	0.121629
"Zhang Ning"	0.121173
Hrbaty	0.120816
"Joko Suprianto"	0.118578
Rosset	0.118045
"Adriana Gersi"	0.117905
Krajicek	0.11665
Safin	0.114512
"Briton Greg Rusedski"	0.114395
"Jansher Khan"	0.113925
Sampras	0.113619
"American Andre Agassi"	0.113233
"Ong Ewe Hock"	0.113035
Sugiyama	0.112289
"Ji Xinpeng"	0.112203
"Diego Nargiso"	0.112164
"Alexandra Stevenson"	0.111919
"Heryanto Arbi"	0.1115
Schett	0.111428
Kiefer	0.111242
"Barbara Schwartz"	0.110854
"Taufik Hidayat"	0.110169
Seles	0.110025
"Wang Chen"	0.109776
"Peter Rasmussen"	0.109534
Kournikova	0.109302
Gambill	0.109117
Likhovtseva	0.10882
rios	0.108484
Tarango	0.107919
"Vladimir Samsonov"	0.107681
"Dennis van Scheppingen"	0.106179
Nacional	0.10585
"Rika Hiraki"	0.105473
Novotna	0.105081
Chang	0.104891
"Susi Susanti"	0.104884
Clavet	0.10447
Hingis	0.10443
Davenport	0.104383
Woodforde	0.103775
Waldner	0.10363
Larsson	0.10351
"Rashid Sidek"	0.103492
Woodbridge	0.103489
Bruguera	0.102914
Damm	0.102197
"David Rikl"	0.102005
"Kong Linghui"	0.100941
"Jan-Ove Waldner"	0.100393
"Van Roost"	0.100329
Schalken	0.100237
))
("Byron Dafoe" (desc 5919.71) (sims
"Rob Tallas"	0.220955
"Martin Brodeur"	0.220033
Dafoe	0.218216
"Kyle McLaren"	0.196247
"Tommy Salo"	0.193665
"Mikhail Shtalenkov"	0.193413
"Dominik Hasek"	0.19172
"Mike Richter"	0.189642
"John Grahame"	0.187313
"Jocelyn Thibault"	0.184076
"Nikolai Khabibulin"	0.180774
"Fred Brathwaite"	0.180058
"Guy Hebert"	0.176182
"Curtis Joseph"	0.173723
"Ron Tugnutt"	0.170724
"Trevor Kidd"	0.168537
"Chris Osgood"	0.165173
"Sean Burke"	0.163759
"John Vanbiesbrouck"	0.159528
"Patrick Roy"	0.158805
"Olaf Kolzig"	0.157428
"Tom Barrasso"	0.153241
"Ed Belfour"	0.153048
"Steve Heinze"	0.152393
"Jason Allison"	0.149527
"Arturs Irbe"	0.148673
"Dmitri Khristich"	0.148013
"Norm Maracle"	0.147565
"Manny Fernandez"	0.146088
"Stephane Fiset"	0.143803
"Steve Shields"	0.142153
"Damian Rhodes"	0.142152
"Felix Potvin"	0.141749
"Manny Legace"	0.139191
"Dan Cloutier"	0.138447
"Marty McSorley"	0.137484
"Bill Ranford"	0.136687
"Roman Turek"	0.135689
Grahame	0.134987
Hasek	0.132907
"Kevin Hartman"	0.131938
"Mike Vernon"	0.131892
"Joe Thornton"	0.13056
"Sergei Samsonov"	0.128745
"Tom Presthus"	0.128697
Barrasso	0.128546
"Jamie Storr"	0.121048
Belfour	0.121013
Fiset	0.120203
"Rob DiMaio"	0.119563
"Ted Donato"	0.115301
"Chris Taylor"	0.113354
"P.J Axelsson"	0.112368
"Anson Carter"	0.111898
Brodeur	0.110571
Tallas	0.106086
"Zach Thornton"	0.104828
Legace	0.10167
"Briana Scurry"	0.100646
Kolzig	0.10056
Richter	0.0994957
"Jorge Campos"	0.0987835
"Ray Bourque"	0.0968643
"Hal Gill"	0.0967557
Salo	0.0957585
"Ken Belanger"	0.095147
"Darren Van Impe"	0.0943135
"Tim Taylor"	0.09212
Hebert	0.0899987
"Grant Fuhr"	0.0870363
Ranford	0.0857105
Khabibulin	0.0845678
Schmeichel	0.0840193
"Brad Friedel"	0.0793423
"Landon Wilson"	0.0777258
Storr	0.075965
Roy	0.0759636
goalie	0.0757595
"Harry Sinden"	0.0747753
Taffarel	0.0746096
"Peter Schmeichel"	0.0741231
"Pat Burns"	0.0725646
Fuhr	0.0724191
Vanbiesbrouck	0.0721907
"David Seaman"	0.0715062
backhander	0.0711305
"Tony Meola"	0.0701987
"Alexei Yashin"	0.0691302
"Drazen Ladic"	0.068494
Osgood	0.0683938
"Angelo Peruzzi"	0.0677023
Turek	0.0664967
Samsonov	0.0661424
Yashin	0.0656882
Bourque	0.0654084
"Walter Zenga"	0.0653312
DiMaio	0.0632267
Joseph	0.0625249
Thibault	0.0623851
"Ramon Martinez"	0.0611139
"Fabien Barthez"	0.0607665
"Aki Berg"	0.0588566
"Doug Pederson"	0.0586434
Shields	0.0580969
"Bobby Holik"	0.0575345
"Paul Coffey"	0.0557216
"Kasey Keller"	0.0555811
"Jimy Williams"	0.0551534
Enis	0.054432
Dunham	0.0542199
"Dave Andreychuk"	0.0541532
"Jose Offerman"	0.0535724
"Pedro Martinez"	0.0535494
Waite	0.0528374
"Gianluca Pagliuca"	0.0525916
"Ronnie Bradford"	0.0525021
"Nomar Garciaparra"	0.0518239
"Ron Francis"	0.0515631
Longo	0.0513404
"Andre Wadsworth"	0.0512797
Heinze	0.0512237
Potvin	0.0511992
Swann	0.0511916
Reichel	0.0511883
"Bret Saberhagen"	0.0508041
one-timer	0.0507411
Kariya	0.0507194
Meares	0.0506474
"Cade McNown"	0.0503212
"Ziggy Palffy"	0.0500854
Grbac	0.049492
Smolinski	0.0486154
ALLISON	0.0485657
"Adam Oates"	0.0485461
Kasparov	0.0484733
"Del Piero"	0.0479242
Wadsworth	0.0478783
Leetch	0.0477312
Langenbrunner	0.0476753
"Joe Murphy"	0.047406
defenseman	0.0473505
"Jamal Anderson"	0.0471901
"DeShaun Foster"	0.0471776
"Russ Ortiz"	0.0470832
Chmura	0.0465988
netminder	0.0462178
"Jamir Miller"	0.0458844
"Mo Vaughn"	0.0457724
"Bobby Orr"	0.0456107
Chilavert	0.0455047
Niedermayer	0.045448
"Rolando Arrojo"	0.0453683
defensemen	0.0452981
Roussel	0.045033
"Sandis Ozolinsh"	0.0449998
Rueter	0.0449571
Sele	0.0446414
"Keith Primeau"	0.0446068
Alabama-Birmingham	0.0444082
McNown	0.0442425
"Al MacInnis"	0.0441239
Khristich	0.0439674
"Kim Perrot"	0.0437728
"Bryce Florie"	0.0437674
Gugliotta	0.04366
Appier	0.0435974
Golota	0.0435844
"Peter Forsberg"	0.043315
Alicea	0.0432303
"Brian Leetch"	0.0432028
"Jeff Fassero"	0.0427341
Nicol	0.0426644
"Alex Rodriguez"	0.0425237
Eldred	0.04245
"Grant Long"	0.0423929
Zenga	0.0423646
"Paul Pierce"	0.0423406
"Doug Gilmour"	0.042173
Duchesne	0.0421676
"Troy Aikman"	0.0420845
"Pavel Bure"	0.0419352
Thornton	0.0418833
"Don Sweeney"	0.0418242
"Petr Nedved"	0.0416764
"Chris Chandler"	0.0416753
"Everett McIver"	0.0415848
"Theo Fleury"	0.0415293
Maier	0.0414902
Andreychuk	0.0412741
Tkachuk	0.0412704
"Kerry Collins"	0.0412658
Rhodes	0.0412246
"two match points"	0.0411324
"Brett Hull"	0.0410941
"Roger Clemens"	0.0409341
Vaughn	0.0409046
"Chuck Finley"	0.0408083
"Donald Audette"	0.0407753
"Garry Galley"	0.0407734
"Bob Corkum"	0.040718
))
("Byron Dorgan" (desc 3276.47) (sims
"Kent Conrad"	0.322948
"Bob Graham"	0.21003
"Bob Kerrey"	0.209121
"Patrick Leahy"	0.187094
"Harry Reid"	0.174441
"Max Baucus"	0.167468
"Paul Wellstone"	0.159798
"Mary Landrieu"	0.154907
"Tom Harkin"	0.153021
"Charles Robb"	0.149518
"Richard Bryan"	0.145835
"Joseph Biden"	0.143925
"John Breaux"	0.141192
Dorgan	0.139655
"Blanche Lincoln"	0.139019
"Russell Feingold"	0.137333
"Tom Daschle"	0.136891
"Robert Torricelli"	0.13685
"Daniel Patrick Moynihan"	0.135755
"Tim Johnson"	0.131114
"Barbara Boxer"	0.128855
"Robert C. Byrd"	0.128476
"Chuck Hagel"	0.122786
"Frank Lautenberg"	0.122209
"Charles Schumer"	0.12031
"Ernest Hollings"	0.12009
"Barbara Mikulski"	0.119946
"Wayne Allard"	0.118802
"Evan Bayh"	0.117764
"John Edwards"	0.116644
"Richard Durbin"	0.115385
"Frank Murkowski"	0.113053
"Charles E. Schumer"	0.111344
"Russ Feingold"	0.110874
"Olympia Snowe"	0.108346
"Ben Nighthorse Campbell"	0.108328
"Dick Durbin"	0.108092
"Sam Nunn"	0.104961
"Joseph Lieberman"	0.103977
"Ron Wyden"	0.103662
"Bill Frist"	0.103242
"Larry Craig"	0.103028
"Robert Byrd"	0.101451
"Herb Kohl"	0.101239
"Patty Murray"	0.101225
"Charles Grassley"	0.101146
"Sam Brownback"	0.100903
"Christopher Dodd"	0.0986869
"Carl Levin"	0.0984773
"Joseph I. Lieberman"	0.0962976
"Dianne Feinstein"	0.0947954
"John Kerry"	0.0944411
"Judd Gregg"	0.0943918
"Kit Bond"	0.093752
"Mitch McConnell"	0.0927806
"Conrad Burns"	0.0917518
"Dick Gephardt"	0.0915588
"Edward Kennedy"	0.0912627
"Pat Roberts"	0.0911815
"Max Cleland"	0.090499
"Edward M. Kennedy"	0.0893131
"minority leader"	0.0892368
"Nita Lowey"	0.0889877
"Peter Fitzgerald"	0.0889103
"Trent Lott"	0.0884426
"Gordon Smith"	0.0884111
"Don Nickles"	0.0876125
"Thad Cochran"	0.0873584
"Paul Coverdell"	0.087268
"Richard Shelby"	0.0865372
"Carolyn Maloney"	0.0860169
"James Inhofe"	0.0847988
"Pete Domenici"	0.0839875
"Charles Rangel"	0.0833621
"Dale Bumpers"	0.0826308
"Tim Hutchinson"	0.0796206
"Jeff Sessions"	0.07761
"Jim Jeffords"	0.0771905
"John Chafee"	0.0766558
"Susan Collins"	0.0764108
"Gary Hart"	0.0762837
"Olympia J. Snowe"	0.0758419
"Slade Gorton"	0.0757045
D-La.	0.075282
"Ted Stevens"	0.0750435
"Phil Gramm"	0.0748808
"Robert Bennett"	0.073603
Moynihan	0.0733501
"Connie Mack"	0.0729146
"Arlen Specter"	0.0721256
"Joe Lieberman"	0.071202
"John Warner"	0.0702054
"Orrin Hatch"	0.0700997
"John Ashcroft"	0.0699004
"Dan Coats"	0.069792
"Warren Rudman"	0.069649
"Howard Baker"	0.0692318
"George Mitchell"	0.0691867
"Richard Gephardt"	0.0686934
"Jerrold Nadler"	0.0682607
"John Danforth"	0.0667878
D-N.D.	0.0655128
"John Conyers Jr."	0.0654079
"Jon Kyl"	0.0650482
"Kay Bailey Hutchison"	0.0638174
"Mike DeWine"	0.0630294
"Tom Vilsack"	0.062633
"Ted Kennedy"	0.0623053
"Chuck Schumer"	0.0622974
"Lincoln Chafee"	0.0618783
"Strom Thurmond"	0.0612466
"Spencer Abraham"	0.0612251
"Tom Hayden"	0.061169
D-Mo.	0.0609562
"William Roth"	0.0597364
"Rick Santorum"	0.0571589
"Richard Lugar"	0.0571289
Daschle	0.0566606
"James Jeffords"	0.0565311
"Jim Hunt"	0.0558576
"Bill Thomas"	0.0554483
R-Miss.	0.0553674
"Fred Thompson"	0.0550464
"Jim Bunning"	0.0550372
"Carolyn McCarthy"	0.0545145
"Paul Tsongas"	0.0545082
R-Ala.	0.0540321
"David Bonior"	0.0536742
"Jeanne Shaheen"	0.0533137
"Jesse Helms"	0.0531411
"Henry Waxman"	0.0531068
"John D. Rockefeller"	0.0527936
D-Vt.	0.0522114
"Jim Hodges"	0.0521135
"Martin Frost"	0.0521013
"Zell Miller"	0.0514882
D-Mich.	0.050509
"David Dreier"	0.0504191
"Sheila Jackson Lee"	0.0502329
Harkin	0.0499119
"Gary Locke"	0.0498374
R-Iowa	0.0494507
"Mark Green"	0.0491865
D-Nev.	0.0490791
"Lloyd Bentsen"	0.04892
"Paul Patton"	0.0488704
"Rod Grams"	0.0488007
"Joseph McCarthy"	0.0484787
Paxon	0.0484538
"John Conyers"	0.0484458
D-Neb	0.048359
"Martin Meehan"	0.0483339
"Nancy Pelosi"	0.0481321
"Eliot Spitzer"	0.048127
R-Utah	0.0475491
R-Ind.	0.0472867
Biden	0.0471567
"Paul Simon"	0.0468036
"Craig Thomas"	0.0461947
"Abbe Lowell"	0.0460143
"Jose Serrano"	0.0457388
"Alfonse D'Amato"	0.0455322
Alarcon	0.0453256
"Bob Smith"	0.0451065
R-Alaska	0.0439316
R-Ariz.	0.0438862
Helms	0.0436766
"John Glenn"	0.0434455
"George McGovern"	0.042852
"Norm Dicks"	0.0428122
Fieger	0.0427658
"New York Democrat"	0.0427035
D-S.D.	0.0423535
"Secretary General Esmat Abdul-Meguid"	0.0422527
"John Dingell"	0.042206
"James Rogan"	0.0418097
D-Calif.	0.0416261
"Tom Campbell"	0.0414251
"Buddy MacKay"	0.0413645
Markey	0.0410977
Malu	0.0408859
Leahy	0.0405864
D-Wis.	0.0405825
Chabot	0.0405787
"Lee Hamilton"	0.0405419
R-Va.	0.0402522
))
("Byron Hanspard" (desc 1641.77) (sims
"Jamal Lewis"	0.185991
"Shaun Alexander"	0.165863
"Curtis Enis"	0.163079
"Garrison Hearst"	0.161068
"Michael Wiley"	0.157753
"Jerome Bettis"	0.15581
"Chad Morton"	0.155798
"Mike Cloud"	0.155091
"Tyrone Wheatley"	0.153286
"Sedrick Shaw"	0.153093
"Fred Taylor"	0.152842
"John Avery"	0.151877
"Keith Brooking"	0.151518
"Skip Hicks"	0.149437
"O.J Santiago"	0.147395
"Jamal Anderson"	0.145789
"Charlie Garner"	0.144027
"Karim Abdul-Jabbar"	0.141149
"Dorsey Levens"	0.140448
"Trung Canidate"	0.134587
"Kevin Faulk"	0.130131
"Ron Dayne"	0.12692
"Tim Dwight"	0.126205
"Ricky Watters"	0.125134
"Gary Brown"	0.12469
"Leon Johnson"	0.123761
"Cecil Collins"	0.123423
"Robert Edwards"	0.121444
"Terance Mathis"	0.120927
"Thomas Jones"	0.120134
"Terry Allen"	0.119498
"Ephraim Salaam"	0.119471
"Lawrence Phillips"	0.117995
"Stephen Davis"	0.117082
"DeShaun Foster"	0.116438
"James Stewart"	0.110784
"J.R Redmond"	0.110342
"Tony Graziani"	0.110253
"Michael Booker"	0.109071
"Henri Crockett"	0.108089
"Chris Warren"	0.106927
"Warrick Dunn"	0.104448
"James Johnson"	0.102781
"Keith Brown"	0.100936
"Trent Green"	0.100594
"Herschel Walker"	0.0987744
"Edgerrin James"	0.0987207
"Adrian Murrell"	0.0983359
"Thurman Thomas"	0.0976869
"Charlie Batch"	0.0975536
"Sultan McCullough"	0.0965065
"Brian Griese"	0.0939368
"Tiki Barber"	0.0924306
"Ricky Williams"	0.0907995
"Bo Jackson"	0.0892597
"Terrell Davis"	0.089188
"Emmitt Smith"	0.0889679
"Tony Hutson"	0.0885674
Enis	0.0873301
"Robert Smith"	0.0850202
"Eddie George"	0.0831103
"Ronnie Bradford"	0.0814602
"Zach Thomas"	0.0800879
"Jessie Tuggle"	0.0799306
"Mike Alstott"	0.0799295
"Walter Payton"	0.079323
"Jermaine Lewis"	0.0790274
"Travis Hall"	0.0787883
Griese	0.0783639
"David Palmer"	0.0783502
"Ryan Kealy"	0.0781018
"Marshall Faulk"	0.0775734
"Curtis Martin"	0.0752748
"Rebecca Lobo"	0.0731912
"Cornelius Bennett"	0.0727424
"Ray Buchanan"	0.0726571
"Barry Sanders"	0.0725444
"Marcus Allen"	0.0724385
"Dave Brown"	0.072437
"Michael Olowokandi"	0.0724235
"Glenn Foley"	0.0722
"Tony Dorsett"	0.0719002
"Brock Huard"	0.0717281
Wynalda	0.0707066
"Kerry Ligtenberg"	0.0704549
"Maurice Taylor"	0.0691244
Toombs	0.0682446
Lobo	0.0679355
"Kevin Mathis"	0.0678958
"Bubby Brister"	0.0675546
STALEY	0.0671616
Grbac	0.0668278
"Ryan Leaf"	0.0666724
"Earl Campbell"	0.0665123
"Greg Ellis"	0.0660414
"David LaFleur"	0.065153
"Eric Dickerson"	0.064679
"Steve DeBerg"	0.0641468
"Chris Chandler"	0.0641163
"Anthony Johnson"	0.0640237
"Bobby Newcombe"	0.0639602
"Jackie Harris"	0.0638561
"Jim Druckenmiller"	0.0633198
"Jim Brown"	0.0631791
"Gene Williams"	0.0624361
"Derek Fisher"	0.0623058
"Mike Bibby"	0.062214
"Jeff George"	0.0622118
Abdur-Rahim	0.0619476
"Manny Fernandez"	0.0618972
"Doug Johnson"	0.0618505
"Norm Maracle"	0.0615773
"Travis Knight"	0.0610524
"Everett McIver"	0.0610015
Romario	0.0604141
Mathis	0.0602968
"Drew Bennett"	0.0602651
Hardeman	0.0595057
"Bobby Rahal"	0.0589652
"Tony Simmons"	0.0583565
"Ty Detmer"	0.058026
"Bryon Russell"	0.0573905
"Doak Walker"	0.0573066
Biffle	0.0572593
"Kirk Muller"	0.0572574
QB	0.0572281
"Rick Mirer"	0.0570705
Garrity	0.057035
"Todd Husak"	0.0570179
"Tony Martin"	0.0569546
"Fabrizio Ravanelli"	0.0567629
"Jason Sehorn"	0.0558668
"Danny Kanell"	0.0557411
"Lu Yufu"	0.0556275
"Lamar Smith"	0.0556098
Laettner	0.0555405
"Tyronn Lue"	0.0554469
"Chris Crawford"	0.0550193
Salaam	0.054648
"Hao Haidong"	0.0545492
"Brian Skinner"	0.0544885
"Jason Garrett"	0.0544439
"Jack McDowell"	0.0544331
cecil	0.0542474
"Cuttino Mobley"	0.0542123
"Jeff Ogden"	0.0538472
Daal	0.0534291
"Michael Myers"	0.0534184
"Lester Archambeau"	0.0533534
"June Jones"	0.0529264
"Al Unser Jr."	0.0528347
Gadzuric	0.0526437
Lieberthal	0.0525094
"Windrell Hayes"	0.0524407
"Jeff Garcia"	0.0524102
"Brandon Mitchell"	0.0524048
Lankford	0.0523432
Sabonis	0.0517309
"Jarious Jackson"	0.0514994
"Scot Pollard"	0.0514389
Faulk	0.0513676
"Morten Andersen"	0.0513117
"police lieutenant"	0.0512529
Lue	0.0510894
"Rashard Lewis"	0.0509448
"Christian Fittipaldi"	0.0507763
McIver	0.050762
Ceballos	0.050741
"Gus Frerotte"	0.0506652
"Dat Nguyen"	0.0505674
"Dirk Nowitzki"	0.0504918
"Eric Cantona"	0.0504479
Neilson	0.0504034
"Sam Madison"	0.0502947
"LaVar Arrington"	0.0502022
"Yao Ming"	0.0501813
Ince	0.0500797
Fryman	0.0500004
Gatling	0.0499124
"Alex Fernandez"	0.0496522
"Flozell Adams"	0.0494817
"Kevin Williams"	0.0494148
"law student"	0.0493931
"Frank Gifford"	0.0492825
"Rich Brooks"	0.0491379
Fizer	0.049069
"Damon Huard"	0.0488808
"Carl Pickens"	0.0488047
Stoudamire	0.0487241
"Larry Centers"	0.0487016
"Gary DiSarcina"	0.0485471
"Robbie Fowler"	0.0484531
ordinariness	0.0483758
"Andre Rison"	0.0483045
"Jason Taylor"	0.0482464
Weatherspoon	0.0482323
"Jarvis Turner"	0.0482074
"Major Applewhite"	0.0480873
"Scott Mitchell"	0.0480516
"Ernie Irvan"	0.0480307
))
("Byron Nelson" (desc 3781.24) (sims
"Sam Snead"	0.354953
"Ben Hogan"	0.320851
"Gene Sarazen"	0.28533
"Gary Player"	0.280676
"Jack Nicklaus"	0.230576
"Arnold Palmer"	0.221592
"Bobby Jones"	0.197719
"Lee Trevino"	0.147623
Nicklaus	0.14474
"Tom Watson"	0.143901
"Johnny Miller"	0.129298
hogan	0.127582
"Billie Jean King"	0.112098
"Raymond Floyd"	0.104757
Morceli	0.0990286
"Hale Irwin"	0.0981029
Sarazen	0.0910232
Nelson	0.0883526
"Martina Navratilova"	0.0878311
"Duke Snider"	0.0876481
"Bill Shoemaker"	0.087184
"Richard Petty"	0.0832782
"Lee Janzen"	0.0832687
"Greg Norman"	0.0824234
"Roy Emerson"	0.0806712
"Golden Bear"	0.0802394
Maurier	0.0787909
"Tom Kite"	0.0776115
"Bjorn Borg"	0.0768939
"Roger Maris"	0.0768706
"Hack Wilson"	0.0754491
"Tiger Woods"	0.0745547
"Gordie Howe"	0.0733572
"Dave Stockton"	0.0732265
"Winning Colors"	0.07128
"Mark O'Meara"	0.0712502
"Seve Ballesteros"	0.0692618
"Nancy Lopez"	0.0691268
Dorsett	0.0675541
"Curtis Strange"	0.063781
"Nick Faldo"	0.0636314
"Jose Maria Olazabal"	0.0623001
"Fred Couples"	0.0614037
Heyns	0.060321
"John Daly"	0.0602531
"Hank Aaron"	0.0602458
"Jim Colbert"	0.0598566
"Lou Gehrig"	0.0595994
"Sergei Bubka"	0.0595401
"Nick Price"	0.0592375
"Asian Cup"	0.0591985
Snead	0.0591673
"Walter Payton"	0.0587724
"Ivan Lendl"	0.0586108
Samuelson	0.0583344
"Babe Ruth"	0.0577664
"Wang Junxia"	0.0576163
"Mark Calcavecchia"	0.0575631
"Ted Williams"	0.0573104
"Canadian Open"	0.056892
Cipollini	0.0563544
Hirst	0.0560503
"John Wooden"	0.0559278
"John Anderson"	0.0557718
"PGA Championships"	0.0557334
"Payne Stewart"	0.0553675
Inman	0.055102
"Rod Laver"	0.0548609
"Corey Pavin"	0.0547099
"David Duval"	0.0543347
"Cy Young"	0.0541646
Valenzuela	0.0535067
"Franz Beckenbauer"	0.0534445
"Tim Herron"	0.0527973
Oakmont	0.0527711
"Mario Andretti"	0.052671
"Hal Sutton"	0.0525089
"Paul Azinger"	0.0523704
"Tito Puente"	0.0522239
Waldner	0.0518059
Navarro	0.051697
"A.J Foyt"	0.0516489
"Jesse Owens"	0.0512959
Atler	0.0511995
Pincay	0.0509919
"Willie Mays"	0.0508606
"NL Rookie"	0.0507526
Pele	0.0505935
Lapentti	0.0505687
"Reggie Jackson"	0.0501792
"Hank Greenberg"	0.0501629
Thorpe	0.0501231
Palmer	0.0500016
Maris	0.0497198
"Johan Cruyff"	0.0495946
"BellSouth Classic"	0.0494531
Gehrig	0.0493187
Olazabal	0.0492063
"United States Open"	0.0491815
"Legg Mason"	0.0491067
"Alexander Popov"	0.0488144
Jude	0.0487725
"Golden Globe"	0.0487311
"U.S. Amateur"	0.0486935
"Alberto Tomba"	0.0485631
Joyner-Kersee	0.0483648
Yankees	0.0483448
Duval	0.0482933
"U.S. Opens"	0.0482772
"Miguel Indurain"	0.0482239
Wilhelm	0.0481204
"US Open"	0.047956
"Felix Savon"	0.0478098
"Bear Bryant"	0.0477568
"Fuzzy Zoeller"	0.0476706
"Mickey Mantle"	0.0476591
Jager	0.0475308
"Mark Brooks"	0.0474924
"Bobby Charlton"	0.0474697
Schottenheimer	0.047353
"Tom Lehman"	0.0473164
"Jackie Joyner-Kersee"	0.0473064
Opens	0.0472648
"Carl Lewis"	0.0470453
Pippig	0.047035
"Henry Aaron"	0.046871
"Donovan Bailey"	0.0467263
"Vijay Singh"	0.0465439
"Ben Crenshaw"	0.0464872
"Thomas Cup"	0.0464312
"Davis Love III"	0.0463415
"Copa America"	0.0462078
"Heike Drechsler"	0.0462033
"Peter Jacobsen"	0.0461281
Ottey	0.0461219
"won nine"	0.0459893
Jayhawks	0.0458051
"Mario Lemieux"	0.0454981
Schalke	0.0454801
Hershiser	0.0453415
"Tar Heels"	0.0453261
Cornhusker	0.0452445
"Peter Lynch"	0.0451121
"Rusty Wallace"	0.0450903
"Jim Brown"	0.0450576
Dempsey	0.0450124
"stroke play"	0.0450092
"Boston Marathon"	0.0449572
"John Cook"	0.0448833
"Noureddine Morceli"	0.0448054
"Justin Leonard"	0.0447482
Ripken	0.0447376
"Jorgen Persson"	0.0447257
"Champions Cup"	0.0444918
Zanardi	0.0444756
"Phil Mickelson"	0.0444446
"Ernie Els"	0.0442673
Tapia	0.0441717
"Cy Young Award"	0.0440988
"Diego Maradona"	0.0440972
Elkington	0.0439095
Popov	0.0438402
"Paul Lawrie"	0.043611
Marichal	0.0435451
"Stockholm Open"	0.0434968
"Bobby Orr"	0.0434237
Caruso	0.0434155
Solis	0.0432067
"Joe DiMaggio"	0.0430576
"Julius Erving"	0.0429322
rudd	0.0429005
Moorer	0.0428532
Yagudin	0.0427571
Edgbaston	0.0426805
"first cup"	0.0426618
"Jimmy Connors"	0.0426583
Emerson	0.0425811
"Ivan Pedroso"	0.0424392
"Bruce Lee"	0.0422945
"Tammy Wynette"	0.0422469
LPGA	0.042175
"Ty Cobb"	0.0421711
"British Opens"	0.0421588
Butyrskaya	0.0417576
"Phoenix Open"	0.0417414
Kwan	0.0417001
"New York City Marathon"	0.0415799
"Montreal Canadiens"	0.04149
"World Junior Championships"	0.0414876
knighthood	0.0414658
"Tony Dorsett"	0.0414558
"Linford Christie"	0.0412684
"Vin Scully"	0.0412359
"Cannes Film Festival"	0.0412273
Watson	0.0412247
"Hamlet Cup"	0.0412169
Fiorina	0.0410599
Bruijn	0.0409541
Musial	0.040851
"Earl Campbell"	0.0408166
))
(bystander (desc 13470.4) (sims
onlooker	0.142274
passers-by	0.139739
passerby	0.127911
spectator	0.109787
policeman	0.10754
policemen	0.106382
civilian	0.100638
passersby	0.0986223
pedestrian	0.095387
motorist	0.0924918
"police officer"	0.09166
villager	0.0885302
demonstrator	0.0844676
protester	0.0824012
firefighters	0.0822887
well-wisher	0.0809001
firemen	0.0805622
soliders	0.0802785
tourist	0.0794768
mourner	0.0789108
journalist	0.0789073
photographer	0.078709
shopkeeper	0.0773445
"security guard"	0.0770284
"fire fighter"	0.0768596
"staff member"	0.0757454
crewmembers	0.0755528
observer	0.0754115
teen-ager	0.0751287
"family member"	0.0748818
marcher	0.0744217
"Coptic Christians"	0.0740562
worshipper	0.0739689
soldier	0.0726115
"altar boy"	0.0725806
protestor	0.072013
"prison guard"	0.0717757
conscript	0.0713588
"young man"	0.0712968
servicemen	0.0712615
firefighter	0.0712451
assailant	0.0711993
"university student"	0.0709573
ex-girlfriend	0.0699962
worshiper	0.069063
militiaman	0.068741
"black person"	0.0683757
cadet	0.0683497
Copt	0.0682626
reservist	0.068107
trooper	0.0681046
looter	0.0671019
driver	0.0670813
eyewitness	0.0668602
innocent	0.0665677
"truck driver"	0.0663779
stranger	0.0663697
rioter	0.0663661
"deputy sheriff"	0.0661224
volunteer	0.0652638
housewife	0.0649439
cameramen	0.0646682
Lebanese	0.0646037
"army officer"	0.0644112
"crew member"	0.0641124
shopper	0.0641045
"National Guardsmen"	0.0640302
"bus driver"	0.0639891
skydiver	0.0639132
vaulter	0.0637882
Briton	0.0636334
passenger	0.0635526
motorcyclists	0.063379
moviegoer	0.0633333
sailor	0.0627405
cameraman	0.0627172
staffer	0.0625259
patron	0.062228
"FBI agent"	0.0621418
townspeople	0.0621389
miner	0.0618917
inmate	0.0618677
co-worker	0.0618649
paramedic	0.061751
"military personnel"	0.0617088
"young woman"	0.0616819
"church member"	0.0616033
noncombatant	0.0614526
accomplice	0.0611991
"farm worker"	0.0611407
robber	0.06109
occupant	0.0608438
citizen	0.0606465
gunmen	0.0605826
commuter	0.0604629
airmen	0.0603747
seamen	0.0601807
attacker	0.0598785
"military officer"	0.0598402
relative	0.0593629
stone-throwers	0.0593452
"black man"	0.0592487
Honduran	0.0591711
gunman	0.059003
Cambodian	0.0588827
celebrant	0.0587483
settler	0.0586032
militiamen	0.0583719
participant	0.0583464
Israeli	0.0583052
Klansmen	0.0582871
"young girl"	0.0582831
captive	0.0582243
classmate	0.0582176
transient	0.0582107
squatter	0.0581706
hostage	0.0581656
Chinese-Americans	0.0580965
medic	0.0580524
countrymen	0.0580261
teenager	0.0579947
activist	0.0579479
attendant	0.0579389
Kenyan	0.0578751
"intelligence agent"	0.0577045
"flight attendant"	0.0576638
"political prisoner"	0.0576017
"college student"	0.0575463
sniper	0.0574818
listener	0.0574373
"base runner"	0.0573596
"Israeli Arabs"	0.0572474
monk	0.057206
"sports fan"	0.0571703
thug	0.0571641
Filipino	0.0571597
"faculty member"	0.0570436
camper	0.0569269
"right whale"	0.0569248
Frenchmen	0.0568931
peasant	0.0568708
comrade	0.0566088
combatant	0.0562716
rescuer	0.0561731
personnel	0.0561418
"major-league team"	0.0561176
detainee	0.0561095
youngster	0.0559739
"white man"	0.0559298
"factory worker"	0.0556619
wounded	0.0556562
picketers	0.0555902
Cop	0.0555335
prisoner	0.0555189
Londoner	0.0553116
Sergeant	0.0552845
climber	0.0552653
theatergoer	0.0551911
"federal agent"	0.055187
Colombian	0.0551026
farmworkers	0.0550611
crewmen	0.055
Fishermen	0.0549327
"elevator operator"	0.0549056
concertgoers	0.0549017
interloper	0.0548007
hiker	0.054787
infantryman	0.0547475
hundredth	0.0546788
"civil servant"	0.054594
nun	0.0545087
fire-fighter	0.0542666
kindergartners	0.054265
armymen	0.0542585
"garment worker"	0.0542446
pensioner	0.0542205
gawkers	0.05412
nurse	0.0540721
wellwisher	0.0540108
girlfriend	0.0538942
Gendarme	0.0538576
guest	0.0538097
Haitian	0.053796
"television camera"	0.0537221
visitor	0.0536752
foreigner	0.0534105
"Orthodox Jews"	0.053386
Atlantans	0.0533361
prostitute	0.0533131
motorcyclist	0.0532443
Tunisian	0.0532314
drinker	0.0531917
laborer	0.0530486
Iraqi	0.0529179
"business executive"	0.0529094
Parisian	0.052859
fireman	0.0527968
"major leaguer"	0.0527723
bodybuilder	0.0527703
"union member"	0.0526664
))
(byte (desc 3175.89) (sims
megabyte	0.0853502
gigabyte	0.0852543
pixel	0.0772833
watt	0.0743874
op-ed	0.0671909
oomph	0.0604186
"mouse click"	0.0602062
keystrokes	0.0584919
"computer code"	0.05606
"sound bite"	0.0558315
megabits	0.0546961
calorie	0.0541522
fishbowl	0.0527382
"census taker"	0.0525791
bushel	0.0523032
millimeter	0.0519218
ream	0.0515873
diskette	0.051304
"Love Bug"	0.0506932
Esquire	0.050173
licking	0.0500247
transistor	0.0495665
gallon	0.0484518
zingers	0.0483337
"piece of music"	0.0474258
"over $@@"	0.047209
"second unit"	0.0469366
eyeball	0.0468099
"M University"	0.0464195
"Weekly Standard"	0.0463955
megahertz	0.0458177
ergonomics	0.0457614
snippet	0.0456351
"cubic meter"	0.0454493
"Consumer Reports"	0.0453586
"Fast Company"	0.0452988
Americanization	0.0450436
dictation	0.0450295
"history lesson"	0.0449616
clipping	0.0448018
"New York Observer"	0.0447562
circuitry	0.0445691
Waterboy	0.044568
keystroke	0.0445448
Mirabella	0.0444971
"working day"	0.0443083
"margin call"	0.0441779
verde	0.0441403
"key rate"	0.0439735
Latina	0.0436092
"whole lot"	0.0435996
"storage device"	0.043452
TAXES	0.0433199
"hundred dollars"	0.0432578
"flat tire"	0.0430705
"security consultant"	0.0426516
"poison pill"	0.0425863
trove	0.0425831
millisecond	0.0425409
Barbies	0.0424513
"Fox Network"	0.0424447
horsepower	0.0423691
agribusiness	0.0423158
"square meter"	0.0422941
suction	0.042018
theocracy	0.0417944
password	0.0416566
"software package"	0.0416323
"World Report"	0.0415932
"speeding ticket"	0.041559
franc	0.0415501
SIDES	0.0415247
Lightyear	0.0413427
postage	0.0413207
"screen pass"	0.0412201
missive	0.0411923
cantata	0.0411797
autoworkers	0.0411159
"odds and ends"	0.0409198
"Martha Stewart Living"	0.0407671
"Wireless HKT"	0.0407658
"profit sharing"	0.0405225
backpacker	0.0403829
centimeter	0.0402481
haiku	0.0401898
kilo	0.0401706
))
(BYU (desc 7676.29) (sims
"Brigham Young"	0.276759
"Penn State"	0.180767
"Arizona State"	0.178495
UNLV	0.176935
"Mississippi State"	0.176337
"Notre Dame"	0.176007
"Kansas State"	0.173696
"Ohio State"	0.17344
"Oregon State"	0.172988
LSU	0.169033
"Georgia Southern"	0.166033
Pepperdine	0.165805
"Georgia Tech"	0.164223
"Virginia Tech"	0.159856
Stanford	0.159244
USC	0.159181
"San Jose State"	0.158689
Tulane	0.158601
"Florida State"	0.158085
Cal	0.156875
Purdue	0.156715
UCLA	0.156417
"Fresno State"	0.155475
TCU	0.152244
"Louisiana Tech"	0.152117
"Oklahoma State"	0.150953
"Boston College"	0.150151
Rutgers	0.148972
"Arkansas State"	0.148673
"North Carolina State"	0.146981
SMU	0.146531
"Texas Tech"	0.145261
"Seton Hall"	0.144974
"Crimson Tide"	0.144527
Gonzaga	0.143264
Vanderbilt	0.14101
Clemson	0.140918
"Colorado State"	0.140492
"Michigan State"	0.140468
"Iowa State"	0.13969
"Washington State"	0.139584
Boilermakers	0.138839
FSU	0.135596
Nebraska	0.133604
Sooners	0.131757
ASU	0.130537
"Cal State Northridge"	0.129374
Villanova	0.128426
"Wake Forest"	0.128223
"Old Dominion"	0.128113
"Southern Mississippi"	0.127513
Cornhusker	0.127238
"N.C. State"	0.127014
Tennessee	0.126613
ou	0.126576
Baylor	0.126073
Syracuse	0.126022
"Brigham Young University"	0.125567
"Southwest Missouri State"	0.124076
UConn	0.123959
northwestern	0.123608
Wolfpack	0.123416
CSUN	0.123397
OSU	0.123114
gamecock	0.122121
"New Mexico State"	0.121316
"Southern Cal"	0.120798
Alabama	0.12041
Seminoles	0.120409
DePaul	0.119787
Steelers	0.119643
Hokies	0.118771
Gators	0.118497
Vols	0.117976
"East Carolina"	0.117692
K-State	0.117232
"Nittany Lions"	0.116902
UMass	0.116888
"blue devil"	0.116105
Hawkeyes	0.115648
"Long Beach State"	0.115446
Xavier	0.115348
Tulsa	0.11462
wildcat	0.114608
Oregon	0.114284
Huskers	0.113751
Fordham	0.112221
Furman	0.112076
"Tar Heels"	0.111656
"Ball State"	0.111654
"Green Bay"	0.111296
"San Diego State"	0.111186
Kentucky	0.11005
"Montana State"	0.109771
NAU	0.109268
Aggies	0.1076
"Weber State"	0.107328
Wisconsin	0.10732
Lehigh	0.107128
WSU	0.10696
Lobos	0.106285
Indiana	0.10614
"Appalachian State"	0.105475
buckeye	0.104956
UT	0.104455
"New York Giants"	0.103758
Trojan	0.103546
"New York Jets"	0.103061
Oklahoma	0.102288
bearcat	0.102279
Wolverine	0.102005
BUCCANEER	0.101857
tech	0.10162
Razorback	0.101559
bulldog	0.101382
Auburn	0.101083
"Minnesota Vikings"	0.100896
husky	0.100317
"Boise State"	0.0997924
Jacksonville	0.099508
"Horned Frogs"	0.0994549
"D.C. United"	0.0993668
"West Virginia"	0.0993264
Duke	0.0993158
"Fighting Irish"	0.0991944
"Louisiana State"	0.0988156
Illini	0.0984073
"Red Raiders"	0.0983249
terrapin	0.0982232
Hofstra	0.098099
"San Francisco @@ers"	0.0980415
Redskin	0.0979213
"Los Angeles Galaxy"	0.0976958
badger	0.0973869
BEARS	0.0973298
"Utah State"	0.0971493
"Tampa Bay"	0.0971272
Georgetown	0.0970914
"Saint Louis"	0.0970054
matador	0.0967011
Colorado	0.0966366
BC	0.096562
Eagles	0.0964574
Longhorn	0.096446
UA	0.0961427
"Jackson State"	0.0960656
Arkansas	0.0955541
cougar	0.0953825
Stephenville	0.0946015
Kansas	0.0945059
bronco	0.0943654
Michigan	0.0942777
Princeton	0.0941937
Jayhawks	0.0941838
Carolina	0.0940259
MetroStars	0.0939081
Arizona	0.0937119
Seahawks	0.0933928
Spartan	0.0932988
"St. Louis Rams"	0.0931742
"Northern Arizona"	0.093073
"Texas Christian"	0.0929025
Pittsburgh	0.0925988
Bucs	0.0925889
Utah	0.0921047
"North Carolina"	0.0919013
"Miami Dolphins"	0.0917458
Minnesota	0.0910766
Cavs	0.0909435
Louisville	0.0908459
Grambling	0.0908381
RedHawks	0.0908052
Raven	0.0905597
"Washington Redskins"	0.0896814
ram	0.0896214
UAB	0.089549
Marquette	0.0894696
"Buffalo Bills"	0.0892252
"Denver Broncos"	0.0891489
"Chicago Bears"	0.0890771
Viking	0.0889967
"UC Santa Barbara"	0.0888247
charger	0.088573
Denver	0.0879972
Wyoming	0.0879668
Pitt	0.0874189
"New Mexico"	0.0872778
UGA	0.0869462
"Green Bay Packers"	0.0865983
Starzz	0.0865938
Minutemen	0.0864901
Portland	0.0863772
Northridge	0.0860338
"Calgary Flames"	0.0857961
"Idaho State"	0.0856817
Bengals	0.085405
"Indianapolis Colts"	0.0848311
"Miami Heat"	0.0844293
"Southern California"	0.0839383
Georgia	0.0838731
))
("Byung-Hyun Kim" (desc 888.713) (sims
"Russ Springer"	0.341726
"Matt Mantei"	0.313449
"Gregg Olson"	0.309539
"Brett Hinchliffe"	0.293243
"Mike Judd"	0.281491
"Bryce Florie"	0.279138
"Robinson Checo"	0.274311
"DOUG JONES"	0.270918
"Danny Patterson"	0.266553
"Jamie Arnold"	0.261861
"Darren Holmes"	0.261398
"Mike Timlin"	0.259688
"Paul Shuey"	0.258136
"Robb Nen"	0.253009
"Mark Leiter"	0.248349
"Danny Graves"	0.248335
"Armando Reynoso"	0.247774
"Ken Cloude"	0.245271
"Greg McMichael"	0.244806
"Matt Herges"	0.244041
"Woody Williams"	0.240393
"Todd Jones"	0.239433
"Jason Isringhausen"	0.238116
"Mike Morgan"	0.235364
"Scott Williamson"	0.233908
"Antonio Osuna"	0.232365
"Mark Petkovsek"	0.226066
"Rick Aguilera"	0.224852
"Heathcliff Slocumb"	0.224068
"Ryan Dempster"	0.223088
"Octavio Dotel"	0.220174
"Kazuhiro Sasaki"	0.219957
"Brian Rose"	0.218524
"Mac Suzuki"	0.218269
"Andy Benes"	0.218237
"Pat Mahomes"	0.21712
"Francisco Cordero"	0.215865
"John Hudek"	0.215619
"Kevin McGlinchy"	0.215125
"Jose Jimenez"	0.213735
"John Burkett"	0.213096
"Paul Abbott"	0.212898
"Terry Adams"	0.211371
"Jeff Zimmerman"	0.210705
"Ugueth Urbina"	0.209919
"Alan Embree"	0.209681
"Scott Radinsky"	0.20837
"Vladimir Nunez"	0.207678
"Turk Wendell"	0.207673
"Al Levine"	0.206491
"Ricky Bottalico"	0.2061
"Gil Heredia"	0.205529
"Mike Fetters"	0.205419
"Mark Gardner"	0.204227
"Scott Elarton"	0.203975
"Bob Wickman"	0.203949
"Kevin Tapani"	0.203008
"Ryan Glynn"	0.200033
"Randy Myers"	0.199155
"Rudy Seanez"	0.198798
"Jeff Brantley"	0.197433
"Ramiro Mendoza"	0.197015
"Willie Blair"	0.195375
"Jeff Nelson"	0.192855
"Donne Wall"	0.192628
"Billy Wagner"	0.191975
"Tim Crabtree"	0.191225
"Armando Benitez"	0.190866
"Jamey Wright"	0.188344
"Troy Percival"	0.188247
"John Wetteland"	0.186537
"Dennis Martinez"	0.185861
"Erubiel Durazo"	0.185468
"Billy Taylor"	0.185144
"Brian Anderson"	0.185097
"Chuck McElroy"	0.183019
"Jesus Sanchez"	0.182859
"Dan Miceli"	0.182587
"Ramon Ortiz"	0.182291
"Jeff Weaver"	0.181391
"Dave Mlicki"	0.180876
"Tom Gordon"	0.180485
"Ron Villone"	0.179991
"Rich Rodriguez"	0.17936
"Kerry Ligtenberg"	0.178416
"Jose Mesa"	0.175733
"Matt Morris"	0.174097
Heredia	0.173762
Suppan	0.173064
"Jeff Shaw"	0.172597
"Russ Ortiz"	0.172165
"Mark Portugal"	0.172082
"Brett Tomko"	0.171642
"Dennis Eckersley"	0.171607
"Dustin Hermanson"	0.171566
"Dave Burba"	0.171499
"Frankie Rodriguez"	0.171094
"Todd Stottlemyre"	0.170888
"Mike Holtz"	0.170706
"Kevin Appier"	0.170304
"Rich Garces"	0.170235
"Brian Moehler"	0.170104
"Shigetoshi Hasegawa"	0.16917
"Derek Lowe"	0.169047
"Eric Gagne"	0.168689
"Rod Beck"	0.167837
"Carl Pavano"	0.167231
"Gil Meche"	0.16699
"Tim Wakefield"	0.166594
"Pat Rapp"	0.165744
"Terry Mulholland"	0.165356
"Freddy Garcia"	0.164881
"Kent Bottenfield"	0.16456
"Jaret Wright"	0.164355
"Rolando Arrojo"	0.163506
"Eric Milton"	0.162491
"Bill Pulsipher"	0.16161
"Paul Byrd"	0.161447
"Mike Remlinger"	0.161033
"Steve Parris"	0.160462
"Jon Lieber"	0.16034
"Mike Magnante"	0.16031
Mahomes	0.160035
"Allen Watson"	0.159933
"Mike Stanton"	0.159742
"Jim Corsi"	0.158655
"Esteban Loaiza"	0.158651
"Roberto Hernandez"	0.158516
"John Wasdin"	0.158143
"Jose Paniagua"	0.157578
"Scott Erickson"	0.15665
"Mark Langston"	0.156429
"Jason Bere"	0.15626
"Mike Williams"	0.155523
"Mike Mussina"	0.154048
"Javier Vazquez"	0.153512
"Chan Ho Park"	0.153136
"Masato Yoshii"	0.1518
"Rick White"	0.151687
"Doug Henry"	0.151467
"Brad Penny"	0.151285
"Mark Wohlers"	0.151279
"Pedro Astacio"	0.151275
"Jason Christiansen"	0.150994
"Mark Clark"	0.150358
"Mike Jackson"	0.149958
Burba	0.149839
"Odalis Perez"	0.14966
"Bruce Chen"	0.148881
"Rick Helling"	0.148405
"Mel Rojas"	0.148156
"Jason Grimsley"	0.147944
"Jesse Orosco"	0.147882
"STEVE WOODARD"	0.147803
"Pete Harnisch"	0.147467
"Jack McDowell"	0.147419
Rusch	0.147136
"Steve Trachsel"	0.146862
"Mark Guthrie"	0.146324
"John Franco"	0.145808
"Mike Venafro"	0.145803
"Dennis Cook"	0.145078
"Rheal Cormier"	0.144874
"Darren Dreifort"	0.144736
"Alan Mills"	0.143694
"Mariano Rivera"	0.143661
"Brian Bohanon"	0.143447
"Alex Fernandez"	0.143305
Dotel	0.142891
"Omar Olivares"	0.141963
"Bartolo Colon"	0.141535
"Rick Reed"	0.14138
"Doug Davis"	0.141048
"Dwight Gooden"	0.140661
"Aaron Sele"	0.140587
"Brad Radke"	0.140502
"Livan Hernandez"	0.139512
Hermanson	0.138737
"Trevor Hoffman"	0.138486
"Onan Masaoka"	0.138424
"Matt Perisho"	0.137237
"Jay Powell"	0.136932
"Jason Dickson"	0.136542
"Ramon Martinez"	0.136275
"Omar Daal"	0.136044
"Shane Reynolds"	0.135981
"Jim Parque"	0.135203
D'Amico	0.133652
"Pat Hentgen"	0.133397
"Pedro Borbon"	0.133311
"Kirk Rueter"	0.13313
"Orel Hershiser"	0.132722
"Scott Sullivan"	0.131637
"John Halama"	0.131597
"Joey Hamilton"	0.130715
"BRIAN MEADOWS"	0.130572
Benitez	0.129137
"Kerry Wood"	0.128953
"Tim Hudson"	0.128789
"Jarrod Washburn"	0.128701
Dempster	0.128498
"Jason Schmidt"	0.128383
"Juan Guzman"	0.128334
"Francisco Cordova"	0.128143
"Dennis Reyes"	0.127933
"Jeff Williams"	0.126897
"Scott Schoeneweis"	0.125961
"John Smoltz"	0.125513
"Chris Carpenter"	0.124072
Appier	0.124034
Checo	0.123912
Trachsel	0.123384
"Scott Karl"	0.123077
Bere	0.122601
Astacio	0.122598
Mussina	0.122385
"Greg Swindell"	0.122295
"Tim Belcher"	0.121187
Lieber	0.121185
Reynoso	0.121154
"El Duque"	0.120005
"Wilson Alvarez"	0.119771
Harnisch	0.119376
"Mike Sirotka"	0.119192
"Brian Williams"	0.119174
"Kevin Millwood"	0.11896
"Kent Mercker"	0.118633
"Charles Nagy"	0.117891
"Darren Oliver"	0.117594
"Graeme Lloyd"	0.117087
Ankiel	0.117035
Daal	0.116865
Contreras	0.116302
"Arthur Rhodes"	0.115651
"Chris Holt"	0.115558
"John Snyder"	0.115546
"Hideo Nomo"	0.115092
"James Baldwin"	0.114919
"Tom Candiotti"	0.113638
Bottenfield	0.113636
"Ismael Valdes"	0.112901
Petkovsek	0.11286
Kile	0.112327
"Ed Yarnall"	0.11093
Schourek	0.110512
"Hideki Irabu"	0.110258
"Bret Saberhagen"	0.109905
"Curt Schilling"	0.109662
Gagne	0.109134
Benes	0.108514
"Darryl Kile"	0.107739
"Jamie Moyer"	0.107175
"Greg Colbrunn"	0.107139
Grimsley	0.107059
"Jin Ho Cho"	0.10705
Etherton	0.106902
"Steve Sparks"	0.106866
Helling	0.106442
Borbon	0.106259
"Pete Schourek"	0.105205
Mantei	0.104193
Cloude	0.104124
Rueter	0.103302
"Bobby Jones"	0.103209
"Orlando Hernandez"	0.103028
"John Rocker"	0.102927
"Ken Hill"	0.102618
Percival	0.102502
Eldred	0.102375
Stephenson	0.10226
"Matt Franco"	0.101217
Osuna	0.101154
Herges	0.100799
Mlicki	0.100534
Perisho	0.100419
Dreifort	0.100317
"Travis Lee"	0.100308
))
(byway (desc 2791.18) (sims
interstates	0.0847881
"Lijiang River"	0.0696998
"access road"	0.0688683
"mountain pass"	0.0655728
blacktop	0.0647772
waterway	0.0583279
"railroad track"	0.0563037
thoroughfare	0.0561704
footpath	0.0546148
freeway	0.0540712
causeway	0.0529954
pathway	0.052414
"mass transit"	0.0518845
alleyway	0.0514941
"main street"	0.0505048
outskirts	0.0501479
"trade route"	0.049604
waterworks	0.0491979
Bosporus	0.0490187
roadway	0.0486908
viaduct	0.048593
airstrip	0.0485079
expanse	0.0479054
"West Lake"	0.0473117
barrios	0.0472933
particularity	0.0468177
driveway	0.0466659
Maze	0.0452722
overpass	0.0447074
"Taklimakan Desert"	0.0442272
"back street"	0.0441087
passageway	0.0438882
"Prudential Insurance Co."	0.0432469
Seine	0.0416875
"sewer system"	0.0413532
"social structure"	0.0412523
crosswalk	0.0412417
facet	0.0412199
"Big Sur"	0.0410537
dynamics	0.0403246
beautification	0.0400839
))
(byword (desc 1788.98) (sims
watchword	0.112983
"fall guy"	0.0810487
"law of the land"	0.0755602
synonym	0.0719379
harder	0.0713853
"key word"	0.0699668
"hot potato"	0.0695216
laughingstock	0.0653262
"wonder drug"	0.0643912
"cause celebre"	0.0638836
"breeding ground"	0.0638051
"whipping boy"	0.0616578
"rallying cry"	0.0613129
scapegoat	0.0609429
user-friendly	0.0609423
fulcrum	0.0594226
market-oriented	0.0590231
repository	0.0575216
"first pitcher"	0.0573644
buzzword	0.0563296
"center of attention"	0.0562417
"hunting ground"	0.055257
"growth industry"	0.0548774
"flash point"	0.0528292
"takeover target"	0.0526329
oxymoron	0.0515389
crapshoot	0.0503964
"determining factor"	0.0503399
"first school"	0.0500607
"second person"	0.0495668
"point of reference"	0.049508
"rule of thumb"	0.0490533
nonevent	0.048355
sinkhole	0.0482654
goal-scorer	0.0479985
"pain in the neck"	0.0479817
"powder keg"	0.0472349
non-issue	0.0461742
anathema	0.0458728
"standard operating procedure"	0.0452723
"order of the day"	0.0452681
"lightning rod"	0.0451076
Must-See	0.0444835
flashpoint	0.0443976
protectorate	0.0443803
"proving ground"	0.0434626
no-brainer	0.0430769
predilection	0.0430572
"punching bag"	0.0430378
propagandist	0.0428566
pinata	0.0426545
depository	0.0420752
"sitting duck"	0.041859
"sounding board"	0.0417458
guidepost	0.0415962
shorthand	0.041594
"rich man"	0.0415353
nonstarter	0.0411649
"double agent"	0.041087
punchline	0.0405539
hotspots	0.0405228
"waiting game"	0.0402294
))
(Byzantine (desc 1550.08) (sims
Persian	0.125097
Arab-Americans	0.083899
Phoenician	0.083009
Ottoman	0.0736459
Roman	0.0690363
Greeks	0.0684061
Slovenian	0.0595387
Ukrainians	0.0586953
"Southern Poverty Law Center"	0.0577548
Bosnians	0.0550766
"city planning"	0.0550251
Javanese	0.0520931
Druse	0.0502958
"House Budget Committee"	0.0501777
Figgis	0.0496924
Croatians	0.0478596
Chinese-Americans	0.0467579
"religious order"	0.0464165
urbanism	0.0447104
Bosman	0.0446984
Urdu	0.0440999
non-Muslims	0.0439093
Inca	0.0428272
conqueror	0.0414207
Eskimo	0.0404375
Copt	0.0400415
))
(C (desc 40153.5) (sims
B	0.171689
d	0.161121
hepatitis	0.135527
"hepatitis B"	0.132225
f	0.120287
HIV	0.115066
C.	0.105719
"AIDS virus"	0.0991661
e	0.0941099
H	0.0931295
B.	0.0905055
virus	0.0890565
tuberculosis	0.0887834
influenza	0.0886084
syphilis	0.0880808
G	0.0880383
leukemia	0.0880017
malaria	0.0870456
Meningitis	0.0847745
"Lyme disease"	0.0842775
Tb	0.0829845
"sexually transmitted disease"	0.0829497
L	0.0817862
ebola	0.0782606
diabetes	0.0779644
"colon cancer"	0.0777944
"West Nile"	0.077144
"multiple sclerosis"	0.0767169
a.	0.0757919
infection	0.075281
disease	0.0751331
asthma	0.0748609
HIV/AIDS	0.0738369
flu	0.0726844
"rheumatoid arthritis"	0.0721643
"Parkinson's disease"	0.0711484
"liver disease"	0.0709986
encephalitis	0.0696624
"lung cancer"	0.0696209
"heart disease"	0.0684824
"Group @"	0.0678209
cholera	0.0664809
Osteoporosis	0.0663212
polio	0.0652131
D.	0.065122
coli	0.0645304
"cystic fibrosis"	0.0639201
Celsius	0.0625761
cancer	0.0619428
Alzheimer	0.0619354
"infectious disease"	0.0617586
O	0.0617476
Rabies	0.0614828
hypertension	0.0611353
syndrome	0.0608364
J	0.0606117
anthrax	0.0604247
salmonella	0.0602681
"brain tumor"	0.0602501
melanoma	0.0598754
glaucoma	0.0594594
s	0.0589795
Dengue	0.0585871
lymphoma	0.0581948
pneumonia	0.0574556
aids	0.0573086
leprosy	0.0572888
anemia	0.056913
"cardiovascular disease"	0.0567789
arthritis	0.0567768
disorder	0.0566872
Parkinson's	0.0566372
smallpox	0.0560725
K	0.0560178
"dengue fever"	0.0558961
E.	0.0557673
migraine	0.0556753
als	0.0549551
semifinal	0.0549324
measles	0.054847
bacteria	0.0537694
epilepsy	0.0535654
quarterfinal	0.0535567
illness	0.0533648
autism	0.0528836
"mental disorder"	0.0523416
diarrhea	0.052104
P	0.0520123
fever	0.0518423
ulcer	0.0513673
"vitamin A"	0.0513089
"vitamin C"	0.0511456
"heart failure"	0.0510954
schizophrenia	0.0509527
standing	0.0507439
preliminary	0.0505807
"mental illness"	0.0504601
"round robin"	0.050216
"skin cancer"	0.050159
grade	0.050096
Q	0.0499452
CJD	0.0491301
"high blood pressure"	0.04906
"World Group"	0.0487491
cholesterol	0.0486475
"food poisoning"	0.0479594
"heart condition"	0.0478012
Fahrenheit	0.0474798
cataract	0.0473823
deficiency	0.0472765
m	0.0471996
strain	0.0466279
tumor	0.0460497
allergy	0.0460189
qualifier	0.0459664
parasite	0.0458728
X	0.0455653
Calcium	0.0449239
heartburn	0.0448916
ailment	0.0441196
poisoning	0.0441079
Obesity	0.0438061
t	0.0434733
"drug addiction"	0.0431472
symptom	0.0430631
r	0.0429755
Gene	0.0429136
"heart attack"	0.042606
dementia	0.0425242
germ	0.0424897
"Western Conference"	0.0413207
epidemic	0.0412874
radiation	0.0412532
stroke	0.0411036
"back pain"	0.0409643
Vaccine	0.0406479
BSE	0.040429
Depression	0.0400915
N	0.0400474
))
(C-@ (desc 2723.73) (sims
C-@@	0.183687
AN-@@	0.158968
TU-@@@	0.156215
A@@@-@@@	0.142417
AWACS	0.135125
A@@@	0.125268
A-@	0.124905
"Airbus A@@@"	0.118688
C-@@@	0.117414
"Airbus @@@"	0.117407
SU-@@	0.11514
F-@	0.112986
widebody	0.111298
Harrier	0.109268
A-@@@	0.108895
"electronic warfare"	0.10808
turboprop	0.107429
Il-@@	0.105728
B-@	0.104277
DC-@@	0.102657
MiG-@@	0.101114
"Stage @"	0.0996932
Mig	0.0967935
P-@	0.095729
"Air France Concorde"	0.0936892
"China Airlines"	0.0907823
warthog	0.0903427
"Cessna @@@"	0.0900217
C@	0.0886894
A-@@	0.0874298
Hercules	0.0838836
A@XX	0.0826727
"Indian Airlines"	0.0821778
reconnaissance	0.0807959
Prowler	0.0806308
C-@@@J	0.0804816
Orion	0.0802261
DC-@	0.0785664
MD-@@	0.0782473
MD	0.0777401
"Indian Air Force"	0.07772
"Turkish Airlines"	0.077032
T-@@	0.0749401
two-seater	0.0743012
"ground attack"	0.0740701
V-@@	0.0724013
"Korean Air"	0.0718208
F-@@	0.0708257
"Ethiopian Airlines"	0.0705279
osprey	0.0703291
IAF	0.0693104
McDonnell	0.0692819
RAF	0.0687403
Cessna	0.0678765
Concorde	0.0678068
double-decker	0.0674521
F@@	0.0670653
"Kenya Airways"	0.0663039
F-@@@	0.0657442
Comair	0.0657007
Aeroflot	0.0630447
"sixth and seventh"	0.0625019
D-@	0.0623617
"up to six"	0.0618822
"McDonnell Douglas"	0.0611491
pinwheel	0.060151
"Royal Air Force"	0.0591097
glider	0.0589417
"Gulf Air"	0.0586506
"Thai Airways"	0.0580015
Airbus	0.0570857
piper	0.0570256
"U.S. Air Force"	0.0566049
USAir	0.0565175
"Vietnam Airlines"	0.0563
"El Al"	0.0559651
"Air India"	0.0551459
thunderbolt	0.0546912
"Air National Guard"	0.0538714
EgyptAir	0.0535359
Embraer	0.0531623
"surface ship"	0.0511345
Mirage	0.0508383
"Pan Am"	0.0506907
X-@@	0.0506838
"patrol ship"	0.0504181
airforce	0.0503378
bombardier	0.0501575
K-@	0.0500252
Iberia	0.0498211
duster	0.0491494
drone	0.0490077
vertebrae	0.0487725
Gulfstream	0.0486717
S-@@@	0.0481048
"blue angel"	0.0480772
Qantas	0.0480594
F-@@s	0.0472303
Airlines	0.0467794
stealth	0.0467414
"spy satellite"	0.0465215
"China Southern Airlines"	0.0464886
"Alaska Airlines"	0.0460344
"transport ship"	0.045901
"Airbus Industrie"	0.0458942
spotter	0.0458469
kamikaze	0.045808
propane	0.0454038
tomcat	0.0447022
S-@@	0.0446183
impala	0.0445985
"cargo vessel"	0.0436939
"Adrian Murrell"	0.0434678
"Flight @@@"	0.0433377
JAT	0.0432313
Swissair	0.0430636
DC-@s	0.0428057
"South African Airways"	0.0427643
"U.S. Navy"	0.0423814
KLM	0.0421843
B-@s	0.0420455
"railroad car"	0.0420442
B-@@	0.0419874
"Virgin Atlantic"	0.0416944
quartz	0.0416857
"Japan Airlines"	0.04165
pelvis	0.0416352
TNT	0.0410389
"China Eastern Airlines"	0.0410003
"roughly @@@"	0.0408571
Garuda	0.0408569
"Trung Canidate"	0.0406647
squadron	0.0406232
fighter-bombers	0.0405284
"Cathay Pacific"	0.0404594
))
(C-@@ (desc 3150.41) (sims
C-@@@	0.23038
turboprop	0.204486
A@@@-@@@	0.20098
"Airbus A@@@"	0.188719
AN-@@	0.186611
C-@	0.183687
"Cessna @@@"	0.172968
A@@@	0.167367
MiG-@@	0.165091
A-@@	0.155327
Hercules	0.153684
X-@@	0.150902
MD-@@	0.14919
DC-@@	0.14557
C-@@@J	0.144952
AWACS	0.143765
SU-@@	0.141223
Cessna	0.140645
TU-@@@	0.13519
DC-@	0.134841
F-@@	0.134509
widebody	0.133933
A@XX	0.132746
Il-@@	0.132633
warthog	0.13186
B-@	0.131086
P-@	0.125642
F-@	0.12351
"Stage @"	0.123398
Mig	0.123084
"Airbus @@@"	0.121181
A-@@@	0.120322
"Air France Concorde"	0.118797
osprey	0.117567
F-@@@	0.114232
Harrier	0.114223
"U.S. Air Force"	0.114076
USAir	0.113565
reconnaissance	0.110843
"China Airlines"	0.110301
glider	0.109734
Prowler	0.107744
Concorde	0.107574
"Kenya Airways"	0.107502
"electronic warfare"	0.104763
"Turkish Airlines"	0.10258
"Ethiopian Airlines"	0.102578
B-@@	0.099053
Learjet	0.0983488
"Indian Airlines"	0.0966376
T-@@	0.0934934
"Gulf Air"	0.0931126
biplane	0.0908999
two-seater	0.0900217
tanker	0.0900111
"Korean Air"	0.0892487
IAF	0.0887504
Aeroflot	0.0884983
JAT	0.0884135
MD	0.0879538
Orion	0.0874888
"Royal Air Force"	0.0874336
jetliner	0.0866844
"Pan Am"	0.0855701
freight	0.0843731
"ground attack"	0.0843584
"Indian Air Force"	0.0841591
EgyptAir	0.0824614
B-@s	0.0819912
RAF	0.0812966
F-@@s	0.0811476
"TWA Flight @@@"	0.0806262
bomber	0.0793677
"Alaska Airlines"	0.0792373
"blue angel"	0.078915
Comair	0.0788883
double-decker	0.0775589
"Air India"	0.0771039
supercomputers	0.0764545
tomcat	0.0761774
"spy satellite"	0.0754909
stealth	0.0746395
Sabena	0.0738072
"container ship"	0.073702
ValuJet	0.0731111
Airbus	0.0727457
"Thai Airways"	0.0724753
piper	0.0719872
Apache	0.0711532
airship	0.0711295
Embraer	0.0710957
fumigation	0.0710158
freighter	0.0705249
"China Southern Airlines"	0.0704378
airliner	0.0695627
airforce	0.0689745
"Japan Airlines"	0.0689419
"American plane"	0.0687522
"Delta @"	0.0685051
"Joint Strike Fighter"	0.0678863
Airlines	0.0678205
gunship	0.0674821
"Eastern Airlines"	0.0666784
drone	0.0662705
"South African Airways"	0.0655288
V-@@	0.0650036
Swissair	0.0648373
"Flight @@@"	0.0637471
DC-@s	0.0633943
A-@	0.0623499
F@@	0.0620971
Voyager	0.0619277
"fighter aircraft"	0.0618094
kamikaze	0.0617523
Iberia	0.0616964
"American eagle"	0.0616676
"luxury liner"	0.0614834
Shays-Meehan	0.0606202
barge	0.0602316
"Air France"	0.0599176
chopper	0.0599012
"Airbus Industrie"	0.0597869
"Cathay Pacific"	0.0594011
"wind power"	0.0593994
"Air Canada"	0.0588227
"McDonnell Douglas"	0.0585712
"El Al"	0.0584977
thunderbolt	0.0583373
Alitalia	0.0583051
"EgyptAir Flight @@@"	0.0582645
"Self-Defense Forces"	0.0581468
warplane	0.0576887
chinook	0.0576805
"United Airlines"	0.0575998
Tomahawk	0.0575222
duster	0.0574011
spotter	0.0572763
"Virgin Atlantic"	0.0570826
"test pilot"	0.0570148
Fedex	0.0566357
"China Eastern Airlines"	0.0566162
"Vietnam Airlines"	0.0566015
"Flight @@@@"	0.0565834
hovercraft	0.0564296
Qantas	0.0564055
McDonnell	0.0563915
Humvee	0.0563403
KLM	0.0561631
Emery	0.0561078
Lear	0.0560594
Concordes	0.0557624
"Swissair Flight @@@"	0.0549536
SDH	0.0549408
TWA	0.0546194
"steam engine"	0.0545962
"Continental Airlines"	0.0541622
"surface ship"	0.054126
K-@	0.0541149
S-@@@	0.0540674
"Alaska Airlines Flight @@@"	0.0539434
"British Airways"	0.0538003
projectile	0.0537887
transporter	0.0534312
impala	0.0532506
U.S.-British	0.0532048
"American Airlines"	0.0530568
Gulfstream	0.0530239
"passenger ship"	0.0528187
"up to six"	0.0525633
NMD	0.0525402
"express train"	0.0523245
"Air National Guard"	0.0520856
"U.S. Navy"	0.0516475
"nuclear-powered submarine"	0.0513015
"jet plane"	0.0507625
"domestic flight"	0.0505904
Spiers	0.0504811
"weather satellite"	0.0503185
"Southwest Airlines"	0.0503116
JetBlue	0.0500699
Mirage	0.0500544
"oil tanker"	0.0497366
CFCs	0.0496931
"cargo container"	0.0495787
"Reno Air"	0.0492257
"U.S. Coast Guard"	0.0488336
Garuda	0.0487035
Imperatori	0.0485748
UTA	0.048483
"Northwest Airlines"	0.0483616
"America West"	0.0481446
supercomputer	0.0481393
oilseed	0.0480583
Hornet	0.0478718
"long haul"	0.0470651
"Singapore Airlines"	0.0467101
"Ford Taurus"	0.0465782
"Microsoft Windows"	0.0464933
"Trans World Airlines"	0.0463396
"railroad car"	0.046242
))
(C-@@@ (desc 3644.55) (sims
C-@@	0.23038
AN-@@	0.205354
C-@@@J	0.181618
turboprop	0.180923
MiG-@@	0.178604
DC-@@	0.178225
Il-@@	0.171674
"Airbus @@@"	0.170416
Cessna	0.169294
"Cessna @@@"	0.166263
TU-@@@	0.155152
"Airbus A@@@"	0.154197
"Air France Concorde"	0.152288
A@@@-@@@	0.15147
A-@@	0.147213
Hercules	0.140898
"Turkish Airlines"	0.137313
USAir	0.131105
DC-@	0.125859
osprey	0.12367
Prowler	0.122398
P-@	0.121787
Mig	0.121641
A-@@@	0.121326
"Ethiopian Airlines"	0.120543
MD-@@	0.120353
F-@@	0.119462
warthog	0.118201
Harrier	0.117607
C-@	0.117414
AWACS	0.117186
"Indian Air Force"	0.117169
glider	0.114822
"Stage @"	0.112898
tanker	0.11148
B-@s	0.108605
B-@	0.107625
F-@	0.106357
SU-@@	0.102416
"Flight @@@@"	0.10179
"Indian Airlines"	0.101071
warplane	0.10085
Concorde	0.098198
chopper	0.098103
widebody	0.0978414
T-@@	0.0960951
reconnaissance	0.0956319
"Kenya Airways"	0.0948478
Learjet	0.0945644
bomber	0.0944342
"Swissair Flight @@@"	0.0939366
A@@@	0.0928716
"Royal Air Force"	0.0928561
RAF	0.0927514
EgyptAir	0.0923085
F-@@@	0.0921599
"patrol boat"	0.0919807
B-@@	0.0916174
"China Airlines"	0.0910667
"fighter aircraft"	0.0910433
"transport ship"	0.0909823
"Vietnam Airlines"	0.0906293
gunship	0.0901651
airliner	0.0894707
"TWA Flight @@@"	0.0885971
airplane	0.0867597
"Gulf Air"	0.0866764
jetliner	0.0864016
"EgyptAir Flight @@@"	0.0863345
two-seater	0.0862515
transporter	0.0849992
MD	0.0847791
"electronic warfare"	0.0840599
"Korean Air"	0.0837296
Orion	0.083551
freighter	0.0831799
spotter	0.0822413
Airbus	0.081228
"U.S. Air Force"	0.0796219
"Flight @@@"	0.0789555
airforce	0.0772461
ValuJet	0.0746253
A@XX	0.0737277
"container ship"	0.0734774
F-@@s	0.0732681
tugboat	0.0731806
lorry	0.0729378
hovercraft	0.0716638
double-decker	0.0715935
thunderbolt	0.0713153
blimp	0.0703167
biplane	0.0703115
freight	0.0699353
"small boat"	0.0694403
kamikaze	0.0693204
"Pan Am"	0.0692389
"jet plane"	0.0690764
IAF	0.0688915
"Joint Strike Fighter"	0.0679551
gunboat	0.0673337
"Alaska Airlines Flight @@@"	0.0670608
"Air France"	0.0668889
fighter-bombers	0.0660253
"Alaska Airlines"	0.0658943
"Thai Airways"	0.0654295
barge	0.0651926
"El Al"	0.0644559
drone	0.0643524
duster	0.0643054
propeller	0.064215
stealth	0.0638212
Airlines	0.0627368
"U.S. Coast Guard"	0.0627099
"Eastern Airlines"	0.0624119
"landing craft"	0.0622209
"mushroom cloud"	0.0621884
"oil tanker"	0.062142
"Air India"	0.0620197
Embraer	0.0616507
A-@	0.0616047
"blue angel"	0.061432
piper	0.0613704
TWA	0.061224
"ground attack"	0.0603167
"China Eastern Airlines"	0.0601594
Apache	0.0601426
Mirage	0.0600749
X-@@	0.0598513
"artillery unit"	0.0591965
"tractor trailer"	0.0584672
catamaran	0.058329
Swissair	0.0580538
F@@	0.0578539
Emery	0.0571818
warship	0.0570682
"police boat"	0.0567857
chinook	0.0563608
Qantas	0.0557357
Sabena	0.05522
warplanes	0.0549802
Iberia	0.0542977
tomcat	0.0538601
"surface ship"	0.0537487
Mini-bus	0.0537483
"Pan Am Flight @@@"	0.0529345
Voyager	0.0529251
"attack aircraft"	0.0528697
"American eagle"	0.0526507
"cargo container"	0.0526441
Atlantis	0.0526053
Ambulance	0.0524555
MiG-@@s	0.0524093
"fire truck"	0.0523522
jeepney	0.0523437
"Japan Airlines"	0.0520019
"cargo ship"	0.0518393
"Airbus Industrie"	0.0515149
frigate	0.0514937
"booster rocket"	0.0514767
McDonnell	0.0513162
"sonic boom"	0.0511479
"military vehicle"	0.0508804
Humvees	0.0508114
"hot-air balloon"	0.0503427
"patrol car"	0.0501697
"rocket launcher"	0.0501396
JAT	0.0500688
parachutist	0.0499636
"Northwest Airlines"	0.0498327
KLM	0.0496442
MiGs	0.0496076
"South African Airways"	0.0493419
U-boat	0.0493397
limousine	0.0491984
"Marine Corps"	0.0491926
"Cathay Pacific Airways"	0.0491183
Guerra	0.049116
patrolling	0.0490884
"railroad car"	0.0490465
bloodhound	0.0489479
"army engineer"	0.0487861
"another @"	0.0487249
"hundred yards"	0.0486999
"moving van"	0.048526
frogmen	0.0484983
yacht	0.0484462
destroyer	0.0482641
"Self-Defense Forces"	0.0481966
V-@@	0.0481276
"American plane"	0.0478335
Hornet	0.0475964
Comair	0.0475172
"Air National Guard"	0.0474984
"U.S. Navy"	0.0474621
"Cathay Pacific"	0.0472681
"police car"	0.0471265
"spy satellite"	0.0466094
"McDonnell Douglas"	0.0465648
"roughly @@@"	0.0464666
Humvee	0.0464368
))
(C-@@@J (desc 1207.18) (sims
C-@@@	0.181618
"Joint Strike Fighter"	0.158421
C-@@	0.144952
widebody	0.136886
Il-@@	0.130317
AWACS	0.125949
RAF	0.110773
AN-@@	0.106691
"Airbus @@@"	0.105976
A@XX	0.104877
P-@	0.101173
Cessna	0.0940309
F-@@	0.0936431
"electronic warfare"	0.0888437
turboprop	0.0884498
TU-@@@	0.0881731
"Stage @"	0.087704
A@@@-@@@	0.0874498
"Turkish Airlines"	0.0871986
V-@@	0.0870954
"Ethiopian Airlines"	0.0851035
Mig	0.0843525
B-@	0.0822931
Hercules	0.0817788
fumigation	0.081551
C-@	0.0804816
X-@@	0.0795783
"Cessna @@@"	0.0792716
Americorps	0.0791259
"durable goods"	0.0786533
"Indian Airlines"	0.0771863
IAF	0.0735231
F-@	0.0733414
A-@@	0.0732923
SU-@@	0.0732829
Harrier	0.0727498
weaponization	0.0726168
"up to six"	0.0721774
"Gulf Air"	0.0713719
"Air India"	0.0701269
T-@@	0.0684802
"adult education"	0.0676917
A@@@	0.0666195
"ground attack"	0.0663544
MD	0.0645674
F-@@@	0.0634446
"Airbus A@@@"	0.0632835
kamikaze	0.0627669
A-@@@	0.0627077
curbside	0.0626645
"Office @@"	0.0622917
"Korean Air"	0.0620576
two-seater	0.0619806
"machine tool"	0.0618882
Orion	0.0615457
"China Airlines"	0.0614337
"Royal Air Force"	0.0613732
Iberia	0.0613144
"Indian Air Force"	0.0612639
"social assistance"	0.0611447
GEMINI	0.0607605
F@@	0.0597752
"Weight Watchers"	0.0595102
DNR	0.0591459
"land reform"	0.0580291
DC-@@	0.0578702
Embraer	0.0570723
Prowler	0.0568413
reforestation	0.0563363
USAir	0.0559884
dispersal	0.0554271
MiG-@@	0.055089
warthog	0.0549697
Airlines	0.0542236
A-@	0.0533127
"U.S. Air Force"	0.0531667
PSC	0.0528549
SDH	0.0526484
EgyptAir	0.0526141
"El Al"	0.0521559
IC	0.0520757
spotter	0.051945
"chemical warfare"	0.0515754
Caesarean	0.0513564
demobilization	0.051223
UTA	0.0510208
Filtration	0.05086
"McDonnell Douglas"	0.0507006
shipbuilding	0.0501469
McDonnell	0.0497614
retraining	0.0497452
VCD	0.0494608
"U.S. government"	0.0491636
piper	0.0491309
recapitalization	0.0490151
interdiction	0.04899
Emery	0.0488007
Aeroflot	0.0486837
JAT	0.0486282
"Self-Defense Forces"	0.0479997
childcare	0.0479934
"germ warfare"	0.0474207
privatisation	0.0473816
"Kenya Airways"	0.0472246
WordPerfect	0.0469642
"word processing"	0.0467789
airforce	0.0466187
"electronic equipment"	0.0465815
"U. N."	0.04636
desegregation	0.0461295
"South African Airways"	0.0460813
shareware	0.046062
commissioning	0.0459489
"Air France Concorde"	0.0458868
nuclear-weapons	0.0457361
osprey	0.0454767
MS-DOS	0.0449931
"China Eastern Airlines"	0.0448622
workfare	0.0446842
"biological warfare"	0.0446112
"Delta @"	0.0445455
"Windows Media Player"	0.044459
multibillion	0.0443553
sidearm	0.0442838
K-@	0.0442655
"mass transit"	0.0438721
Dreamcast	0.042965
"Macao International Airport"	0.0427891
"price support"	0.0427341
profit-sharing	0.042689
"Peace Corps"	0.0424161
NMD	0.0422882
"special education"	0.0421345
"Deportivo La Coruna"	0.0419975
tritium	0.0418561
"stock buyback"	0.0417238
detoxification	0.0416877
"South Vietnamese"	0.0413403
Alero	0.0412578
Autodesk	0.0412193
thunderbolt	0.041164
Bighorn	0.0410019
"girl scout"	0.0409816
"weapons system"	0.0406751
spaceflight	0.0403956
"Three hundred"	0.0402488
"child support"	0.0401708
))
(C-section (desc 986.61) (sims
Caesarean	0.483607
recidivism	0.193625
"caesarean section"	0.182008
SIDS	0.140573
homeownership	0.13624
"space walk"	0.133245
angioplasty	0.132116
hospitalization	0.121483
gonorrhea	0.118214
vasectomy	0.117686
spacewalks	0.110936
biopsy	0.110529
"surgical procedure"	0.107942
morbidity	0.107673
"venereal disease"	0.106442
"marketing cost"	0.104057
relapse	0.101395
"lead poisoning"	0.101047
"cost structure"	0.0992986
"dog bite"	0.0992187
"fatal accident"	0.0980053
rollovers	0.0979026
evaporation	0.0972411
"tooth decay"	0.0971018
"bank rate"	0.0967173
intermarriage	0.0960288
"asthma attack"	0.0940291
spacewalk	0.0930402
"juvenile delinquency"	0.0928391
"cancer death"	0.0928013
IDD	0.0911246
Burnout	0.0888058
"contagious disease"	0.0878568
"skin cancer"	0.0847949
"sexually transmitted disease"	0.0844622
duplication	0.0839706
delinquency	0.0831578
headcount	0.0828119
mastectomy	0.0823049
cremation	0.0818174
enrolment	0.0803836
absenteeism	0.0800556
Inoculation	0.0792146
roughness	0.0789554
melanoma	0.0787938
transfusion	0.0787895
fertilization	0.0782753
recurrence	0.0768142
CPR	0.0763524
NPLs	0.0755467
"speeding ticket"	0.0749474
caseloads	0.074016
amputation	0.0739344
STDs	0.0731104
miscarriage	0.0730895
leprosy	0.072402
"body temperature"	0.072318
"capital gains tax"	0.0723074
dialysis	0.0721566
facelift	0.0721486
airdrop	0.0721152
Truancy	0.0716384
gallstone	0.0715932
downtime	0.0704674
"cardiovascular disease"	0.0704308
"inheritance tax"	0.070094
"value added tax"	0.070065
"voting age"	0.0697205
"light touch"	0.0694402
"health check"	0.0693821
syphilis	0.0691057
"medicare payment"	0.0689318
"heroin addiction"	0.0689148
circumcision	0.0687942
incidence	0.0686027
TAXES	0.0681415
"borrowing cost"	0.0677525
joblessness	0.0677417
side-effects	0.0676784
"rest day"	0.0675756
overdraft	0.0674528
"cosmetic surgery"	0.0672481
"rate hike"	0.0672252
"key rate"	0.0668462
"electric bill"	0.0668356
"musical score"	0.0667801
"medical checkup"	0.066568
"artificial insemination"	0.0665106
wasting	0.066321
retrenchment	0.0656876
STD	0.065324
"colon cancer"	0.0650426
wastage	0.0650252
Obesity	0.0648302
"water filter"	0.0644514
"hepatitis A"	0.0644374
T-bill	0.0644269
FOREX	0.0642997
foreclosure	0.064238
"interest expense"	0.0640965
"respiratory disease"	0.0640182
"medical exam"	0.0639772
"fire drill"	0.0637347
threshhold	0.0636001
"tax bracket"	0.0634165
"blood sugar"	0.0631046
incarceration	0.0630335
mitzvah	0.0625089
"operating expenses"	0.0624439
photosynthesis	0.0624102
"engine failure"	0.0623962
"working day"	0.0622518
"noise level"	0.0619791
explication	0.0619101
malnutrition	0.0618424
washout	0.06184
frill	0.0617647
cataclysm	0.0617538
"gasoline tax"	0.0616571
refusals	0.0615635
"head count"	0.061309
mechanization	0.0612609
"seating capacity"	0.0612439
maquiladoras	0.0612072
pumping	0.0610218
"consumption tax"	0.0609673
"bankruptcy filing"	0.0608109
"fishing license"	0.0606976
disbarment	0.0604815
"tax bill"	0.0601358
Rabies	0.0601187
"work stoppage"	0.0599976
"military drill"	0.0599414
"poverty rate"	0.0594645
mammography	0.0594235
LASIK	0.0594014
"capital expenditure"	0.0593195
penetration	0.0591896
"name change"	0.0591871
"field trial"	0.0590281
"elephant population"	0.0583151
cataract	0.0582924
CPF	0.0582449
spreader	0.0581264
powwow	0.0578336
homocysteine	0.0574863
SBI	0.0574704
deforestation	0.0574168
"hospital care"	0.0572158
"property tax"	0.0572127
chickenpox	0.0570771
"goose bumps"	0.0569434
mammogram	0.0569319
make-over	0.056728
eviction	0.0565874
"dollar amount"	0.0565768
"medical examination"	0.0562153
"murder conviction"	0.056187
autopsy	0.0561601
resuscitation	0.0560495
"birth rate"	0.0560411
"cost of living"	0.056035
postmortem	0.055973
pruning	0.055935
enlistee	0.0558966
"moral hazard"	0.0558733
"hot flash"	0.0557136
GST	0.0555611
"proxy fight"	0.0554935
CPI	0.0554052
botulism	0.0554038
"violent death"	0.0553515
Haj	0.0552965
delirium	0.0551743
"rate rise"	0.055113
"Lyme disease"	0.0549352
"medical check-up"	0.0548751
break-in	0.0542757
condensation	0.0542621
"market penetration"	0.0542547
rehearing	0.0541889
"food poisoning"	0.0541824
poaching	0.0540433
spraying	0.0539022
co-payment	0.0537932
u-turn	0.0535141
caseload	0.053472
"insurance premium"	0.0532311
"center of gravity"	0.0531518
hypertension	0.0530835
slippage	0.0529648
AGL	0.052921
horsepower	0.0529172
exorcism	0.0528899
"bond rating"	0.0528779
salmonella	0.0526086
"asset sale"	0.0526084
"Economic and Monetary Union"	0.052448
"Monetary Policy Committee"	0.052416
deflation	0.0523342
))
(C-Span (desc 6866.72) (sims
CNBC	0.250802
MSNBC	0.219445
"Court TV"	0.204559
"Fox News Channel"	0.201407
CNN	0.179252
"Fox News"	0.166949
ESPN	0.164009
ESPN@	0.158305
CNNfn	0.152706
VH@	0.152069
PBS	0.143234
"Golf Channel"	0.141524
PAX	0.139725
HBO	0.139537
TNT	0.139201
MTV	0.136436
Nickelodeon	0.135587
"Cable News Network"	0.135542
"Discovery Channel"	0.131159
"Comedy Central"	0.128921
CBs	0.127603
"Weather Channel"	0.126061
NBC	0.125244
Showtime	0.124914
TNN	0.124911
ABC	0.124565
BBC	0.123765
Nightline	0.123415
"NBC News"	0.122086
"Animal Planet"	0.120844
ZDTV	0.118786
"British Broadcasting Corp."	0.117383
"Good Morning America"	0.114622
Univision	0.114228
NTV	0.11285
"USA Network"	0.10943
"National Public Radio"	0.108615
WMUR-TV	0.107692
"cable network"	0.103251
"Fox Sports Net"	0.102048
ORT	0.101814
"Pax TV"	0.1005
"Disney Channel"	0.0997554
"Black Entertainment Television"	0.0989677
"Dateline NBC"	0.0979749
"television news"	0.0975752
QVC	0.0971775
"TV Land"	0.0967595
CBS-TV	0.0966492
UPN	0.094868
CCTV	0.0948418
"Today Show"	0.0947014
"Turner Classic Movies"	0.094545
"Food Network"	0.0925356
"China Central Television"	0.0922413
"Entertainment Tonight"	0.0921516
ABS-CBN	0.0917986
Televisa	0.0909545
NHK	0.0908745
"TV station"	0.090424
"television network"	0.090348
"Larry King Live"	0.0901004
"Late Edition"	0.088907
"History Channel"	0.0885813
"closed circuit"	0.0883546
"Channel @@"	0.0877853
"Fox TV"	0.0877742
CNN/SI	0.0873504
"Cartoon Network"	0.0872353
ABC-TV	0.0869336
Tb	0.0862059
"television station"	0.0855895
bravo	0.0847091
Fox	0.0845187
CBC	0.084212
"TV network"	0.0835635
"Channel @"	0.0820353
"news show"	0.0811368
"closed-circuit television"	0.0809342
"Nashville Network"	0.0802591
"news program"	0.079837
iTV	0.079831
"cable television"	0.0776525
"Voice of America"	0.0766838
CNET	0.0756659
"CBS News"	0.0751494
pay-per-view	0.0751338
VH-@	0.0747077
"Sporting News"	0.0737141
"Turner Sports"	0.073225
NBC-TV	0.073063
"ABC News"	0.0717085
e	0.0703629
"Daily Show"	0.0699685
"Night Football"	0.0695988
WGN	0.0689795
Quokka	0.0684072
"TV program"	0.068206
RCN	0.068012
"USA Networks"	0.0675427
Dateline	0.0670418
APTN	0.0663159
newscast	0.0660783
WB	0.0657365
"Turner Broadcasting"	0.0656199
NPR	0.065588
"Fox Sports"	0.0652367
Oprah	0.0651983
"talk show"	0.0650169
"Tonight Show"	0.064103
"Home Shopping Network"	0.0637466
"Early Show"	0.0636476
Bloomberg	0.0634087
"ABC Sports"	0.0632597
"radio station"	0.0629673
DLC	0.0629115
WebMD	0.0628027
HDTV	0.0627159
Reuters	0.0621464
ABCNews.com	0.0610985
FX	0.0609423
hourlong	0.0609139
SportsCenter	0.0608991
newsmagazine	0.060528
"Jerry Springer Show"	0.0602628
"TV guide"	0.0601784
"USA TODAY"	0.0593319
Cablevision	0.05774
Newsweek	0.0576842
"Late Show"	0.0576169
NewsHour	0.0570319
"Wireless HKT"	0.0558826
IDG	0.0552127
"Time Inc."	0.0548542
"Canal Plus"	0.0547298
newsmagazines	0.0547297
"Sky TV"	0.0542136
"Jerry Springer"	0.0541336
CSA	0.0539867
BSKyB	0.0539059
"television program"	0.0536304
"television show"	0.0531631
"Time Warner"	0.0530937
"Sesame Street"	0.0528965
Pacifica	0.05257
Instinet	0.0523756
primetime	0.0523689
Rai	0.0522203
broadcasting	0.0518459
Google	0.0518055
"National Journal"	0.0516348
Salon.com	0.0514279
IRC	0.0513978
ADSL	0.0510506
RNC	0.0506275
analog	0.0506164
Letterman	0.0504221
Intuit	0.0502652
Expedia	0.0502354
Mega	0.0502188
"Dell Computer Corp."	0.0501399
MSG	0.0499234
MACROMEDIA	0.049849
"Radio Liberty"	0.0497362
telemedicine	0.0494829
WGBH	0.049276
"Voter News Service"	0.0492388
"Masterpiece Theater"	0.0491634
"House Budget Committee"	0.0491427
F.A	0.0489888
Viacom	0.0489335
"Sharper Image"	0.0486023
"Bill Moyers"	0.0485661
"Larry King"	0.0485437
Walters	0.0483202
Aetna	0.0482063
"print media"	0.0481597
DirecTV	0.0481401
"Conde Nast"	0.0479625
Wada	0.0477481
AIG	0.0476925
"Late Night"	0.0475729
"Warner Brothers"	0.0470703
"TV show"	0.0469675
"prime time"	0.0469318
"video screen"	0.0468381
Lycos	0.0466528
Telemundo	0.0464964
eBay	0.0464055
"Des Moines Register"	0.0463439
"game show"	0.0462607
"Gap Inc."	0.0462351
"Deutsche Grammophon"	0.0461203
"Rules Committee"	0.0460913
MSNBC.com	0.0459969
EA	0.045879
HHS	0.0458567
Networks	0.0457673
Arnett	0.0453842
"Los Angeles Times"	0.045351
))
(C-USA (desc 1007.42) (sims
"Big West"	0.258088
"Western Athletic Conference"	0.175443
"Conference USA"	0.160847
"Big Sky Conference"	0.158488
PBA	0.157475
"Southwest Conference"	0.149176
"Atlantic Coast Conference"	0.147704
WAC	0.145233
"Southeastern Conference"	0.13975
WCC	0.134209
ACC	0.133501
"Big Sky"	0.133473
USTA	0.127893
Pacific-@@	0.12462
"Big East"	0.123972
CAA	0.120936
AFL	0.109319
"Division I-AA"	0.107426
"Cactus League"	0.10005
WTA	0.0999337
nonconference	0.0990456
"Pan Pacific"	0.0957445
"won seven"	0.0940074
DLC	0.0916515
"World Championship"	0.0913864
VFW	0.0912252
CWS	0.0897023
WEF	0.0895096
"first cup"	0.089133
NHRA	0.0890511
Pac-@@	0.0881822
"Hopman Cup"	0.0881328
"won eight"	0.0876339
Internet@	0.0860797
ABA	0.0860202
PCC	0.0858253
hardcourt	0.0858241
"won nine"	0.085042
"Libertadores Cup"	0.0850299
"Little League World Series"	0.0849173
"Division @"	0.084266
"Dunhill Cup"	0.0840699
snooker	0.083927
"Big @@"	0.0834572
"Hong Kong Open"	0.0833537
"Federation Cup"	0.0827364
"first nine"	0.0821764
"Stockholm Open"	0.0816457
"Ivy League"	0.0815187
"won six"	0.0802415
"National Collegiate Athletic Association"	0.0799781
"Los Angeles City Council"	0.0797481
ATP	0.0795469
LPGA	0.0794131
AOC	0.078582
"National League West"	0.0784677
"AFC Central"	0.0781071
DEP	0.0780414
"National League Central"	0.0768105
Halle	0.0763867
MLB	0.0758662
ITF	0.0749107
"Japan Open"	0.0747923
EuroLeague	0.0747071
Lakas	0.0746754
IPU	0.0742318
ATC	0.073839
"Kremlin Cup"	0.0737663
"Swiss Open"	0.0735124
pre-Olympic	0.0732868
"AFC West"	0.0728927
"European Community"	0.0726449
gamecock	0.0722539
"SEC East"	0.0720558
WNBA	0.0720456
CNOOC	0.070741
Lipton	0.0702268
WEU	0.0698589
"United States Open"	0.0698487
"Busch Grand National"	0.0695338
Qinghua	0.0694684
RIAA	0.0694226
ITTF	0.0689616
"Local @@"	0.0688192
Kimbell	0.0687079
NTRA	0.0686989
"NFC West"	0.0683579
"National Invitation Tournament"	0.0681184
ml	0.0678169
cruiserweight	0.0676041
"Uber Cup"	0.067216
PATA	0.0669997
"won four"	0.0665707
IMS	0.0662978
"Class AAA"	0.0659849
"Central Division"	0.0653294
"National League East"	0.064933
"Pan Ams"	0.0646752
Broderbund	0.0644728
UPI	0.0644572
DMA	0.0644506
UMNO	0.0643593
"ATP Tour"	0.0642721
E.U	0.0642709
"World League"	0.0642524
"one million US dollars"	0.0641288
polytechnic	0.0640429
AAA	0.0632445
"Copa America"	0.0629366
BOC	0.0629051
Mensa	0.0628751
"U.S. Senior Open"	0.0628651
"AFC East"	0.0628404
"MLS Cup"	0.0627815
fide	0.0627612
"Bowl Championship Series"	0.0625591
Stroh	0.0620374
Dar	0.061882
pentathlon	0.0618378
"NFC East"	0.0617622
"won five"	0.0615144
"Canadian Alliance"	0.0614811
Lakas-NUCD	0.0608513
OCA	0.0605204
"German language"	0.0604674
"U.S. Amateur"	0.0604278
"Arena Football League"	0.060086
"NZ First"	0.0598105
BSA	0.0595704
AARP	0.0594749
UDF	0.0593819
"won one"	0.0593281
"first eight"	0.0591616
constructor	0.0591003
ABL	0.0589802
"Grand National"	0.0589735
"U.S. Golf Association"	0.0588886
PSG	0.0586052
Stroganoff	0.0585307
over-@@	0.0583139
"World Team Cup"	0.0582084
SDS	0.0580655
ICA	0.0579232
"junior lightweight"	0.0578404
"National Hockey League"	0.0576947
A-@@	0.0576062
CBI	0.0574868
"Funny Car"	0.0572029
"American Football League"	0.0571995
CWC	0.0570725
"ATP Championship"	0.0570257
"Confederations Cup"	0.0570096
"American League East"	0.0570034
"Canadian Open"	0.0567
ECW	0.056612
A.L.	0.0565944
"Arena League"	0.0565796
IRL	0.0565474
"won two"	0.0565452
"Eastern Division"	0.0563073
peewee	0.0562828
WHA	0.0562195
"City Ballet"	0.0561123
eco	0.0560814
"Maurier Open"	0.0560607
"stroke play"	0.05601
ISU	0.0559517
ADL	0.0556135
"junior middleweight"	0.0555197
Transamerica	0.0554826
CCPIT	0.0554207
"European Champions Cup"	0.0553813
UAB	0.0553303
EBRD	0.0552671
"Paris Open"	0.0547744
"won @@@"	0.0547468
Bessette	0.0545569
kibbutz	0.0544744
EAC	0.0541747
"Skate America"	0.0541604
Generali	0.0541343
K-State	0.0540905
"Busch Series"	0.0540641
"next three"	0.0539548
Camerounian	0.0539462
sworn-in	0.0539354
AmCham	0.053869
"first seven"	0.0538468
CITES	0.0538174
"NFC Central"	0.0537035
"next six"	0.0536484
triathlon	0.0535287
TDB	0.0534805
AGL	0.0534594
"American Hockey League"	0.0533229
WBO	0.0531182
GP	0.0530899
top-class	0.053084
SCLC	0.0530684
CSC	0.0529802
))
(C. (desc 11843.1) (sims
B.	0.117862
overcast	0.107219
C	0.105719
D.	0.100537
a.	0.100004
p.	0.0956315
Centigrade	0.0896739
F.	0.0869368
H.	0.0822627
K.	0.0804084
O.	0.0753428
J.	0.0716526
Fahrenheit	0.0712926
g.	0.0712743
R.	0.0689229
L.	0.0682751
drizzle	0.0646574
E.	0.0585243
T.	0.0580818
warmer	0.0576993
B	0.0542931
Celsius	0.0540685
d	0.0517376
m.	0.0500389
"about @@ degrees"	0.0473354
influenza	0.0448462
botulism	0.0426746
hepatitis	0.0421991
herpes	0.0414087
S.	0.0409249
hemophilia	0.0408341
sleet	0.0402691
))
("C.J Hunter" (desc 2780.87) (sims
"Randy Barnes"	0.278432
"John Godina"	0.275103
"Al Joyner"	0.203674
"Inger Miller"	0.171657
"Asif Ali Zardari"	0.165664
"Allen Johnson"	0.160512
"Gail Devers"	0.151889
"Cathy Freeman"	0.147703
"Derrick Adkins"	0.138848
"Svetlana Khorkina"	0.138451
"Deon Hemmings"	0.138016
Devers	0.134651
"Michael Johnson"	0.134564
"Maurice Greene"	0.134159
"Todd Eldredge"	0.13142
"Paul Tergat"	0.128735
"Charles Austin"	0.127758
"Stacy Dragila"	0.1264
"Denis Pankratov"	0.126393
"Liu Limin"	0.125937
"Lenny Krayzelburg"	0.125827
"Laurent Brochard"	0.124767
"Michael Von Gruenigen"	0.124594
"Merlene Ottey"	0.117977
"Michael Weiss"	0.117528
"Chen Lu"	0.117154
"Jackie Joyner-Kersee"	0.116006
"Kim Batten"	0.115732
"Elvis Stojko"	0.115664
"Buster Douglas"	0.115037
"Johan Museeuw"	0.114878
"Wang Yifu"	0.114589
"Linford Christie"	0.114296
Shuwei	0.114065
"Liu Xuan"	0.111865
"Alexei Yagudin"	0.11009
"Maria Mutola"	0.109987
"Deborah Compagnoni"	0.10964
"Michael Klim"	0.109291
"Samantha Riley"	0.109253
"Alexei Nemov"	0.109026
Sautin	0.108889
"Roy Jones Jr."	0.10698
"Donovan Bailey"	0.106885
"Irina Privalova"	0.106855
"Damon Hill"	0.106836
"Ivan Pedroso"	0.106525
"Michelle Kwan"	0.106288
"Jacques Villeneuve"	0.105932
"Kenny Brack"	0.105657
"Maria Butyrskaya"	0.104705
"Pernilla Wiberg"	0.104553
"Dennis Mitchell"	0.104474
"Regina Jacobs"	0.104202
"Abraham Olano"	0.102612
"Marion Jones"	0.10225
"Dong Jiong"	0.101942
"Lasse Kjus"	0.101534
"Thomas Stangassinger"	0.10124
"Jorgen Persson"	0.100891
"Peter Rasmussen"	0.100803
"Alex Zanardi"	0.100758
"Jenny Thompson"	0.100504
"Vanessa Atler"	0.100204
"Steve Backley"	0.100057
"Dan O'Brien"	0.0998641
"Wu Yanyan"	0.0997095
"Eddie Cheever"	0.099223
"Max Biaggi"	0.0990986
"Hilde Gerg"	0.0983173
"Tom Dolan"	0.0981216
"Fatuma Roba"	0.0980378
"Grant Hackett"	0.0975697
"Wang Chunlu"	0.0974709
"Mary Slaney"	0.0974635
"Darrell Waltrip"	0.0973309
"Wilson Kipketer"	0.0970889
"Kieren Perkins"	0.0969802
"Gabriela Szabo"	0.0964345
"Svetlana Masterkova"	0.0962654
"Garry Kasparov"	0.0961924
"Claudia Poll"	0.096057
"Li Jiajun"	0.0959886
Ottey	0.0956355
"HANK KUEHNE"	0.0956347
"Amy van Dyken"	0.0942868
"Guo Jingjing"	0.0942856
"Michael Doohan"	0.0939144
"Simona Amanar"	0.0938966
"Colin Jackson"	0.0936779
"Jean-Philippe Gatien"	0.0919545
"Susie O'Neill"	0.0916622
"Blaine Wilson"	0.0916059
"Kristen Maloney"	0.0915845
"Claudia Pechstein"	0.0914551
"Doug Walker"	0.0914192
"Ato Boldon"	0.0913556
"Renate Goetschl"	0.0911003
"Elena Berezhnaya"	0.0909519
"Jimmy Vasser"	0.0904229
"Tara Lipinski"	0.0900927
"Colin McRae"	0.0890666
"Irina Slutskaya"	0.0890448
"Tommi Makinen"	0.0890323
"Fiona May"	0.0889567
"Jonathan Edwards"	0.0887687
Khorkina	0.0887527
"Juha Kankkunen"	0.0887419
"Anatoly Karpov"	0.088225
"Katja Seizinger"	0.0879798
"shot putter"	0.0877385
"Matt Kuchar"	0.0877254
"Jon Drummond"	0.087518
"Alexander Popov"	0.0870422
"Fernando Vargas"	0.0869335
"Rodney Eyles"	0.0867943
"Christine Arron"	0.0867748
"Picabo Street"	0.0863638
Baumann	0.0860254
"Chris Boardman"	0.0855521
"Le Jingyi"	0.0854753
Villeneuve	0.085374
Sainz	0.0848949
"Bruny Surin"	0.0846869
"Johnny Tapia"	0.0840822
"Camilla Martin"	0.0838596
"Khalid Khannouchi"	0.0837648
"Sonia O'Sullivan"	0.0834788
"Brooke Bennett"	0.0834749
Doohan	0.0834116
"Houston Comets"	0.0833257
"Yang Yang"	0.0832021
"Ian Thorpe"	0.0830107
"Daniel Komen"	0.0828976
"Moses Tanui"	0.0827262
"Fu Mingxia"	0.0826478
"Isolde Kostner"	0.082636
"Kong Linghui"	0.0824592
"Haile Gebrselassie"	0.0823806
"Frank Bruno"	0.0822576
"Marie-Jose Perec"	0.0821723
"Oliver McCall"	0.0819215
"MIka Hakkinen"	0.0817939
"Ye Zhaoying"	0.0812375
"Javier Sotomayor"	0.081185
"Rajiv Gandhi"	0.0808751
"Jansher Khan"	0.0806972
"Deng Yaping"	0.0803763
"Kostya Tszyu"	0.0799291
"Julio Cesar Chavez"	0.0799113
"James McDougal"	0.0795516
"Sandra Voelker"	0.0793659
"Martin Schmitt"	0.0790592
"David Reid"	0.0790295
"Anjelika Krylova"	0.0786558
Waldner	0.0785581
"Ong Ewe Hock"	0.0785538
"Penny Heyns"	0.0785405
"Bobby Brown"	0.0782765
Zanardi	0.0780569
"Ivan Ivankov"	0.0780088
Phillip	0.0777979
"Hiroyasu Shimizu"	0.077373
"Petr Korda"	0.0771529
"Dale Earnhardt Jr."	0.0769558
"Gunda Niemann-Stirnemann"	0.0768626
"Liu Guoliang"	0.0768403
"Jennifer Capriati"	0.0758946
Musashimaru	0.075745
Pippig	0.0757144
"Sergei Bubka"	0.0755173
"Heryanto Arbi"	0.0750209
Karpov	0.0749631
"Susi Susanti"	0.0745396
Kwan	0.0740314
"Gil Morgan"	0.0734937
Longo	0.0732287
"Anita Wachter"	0.0731206
"Davis Love III"	0.0728763
"Jearl Miles-Clark"	0.0728633
"Dale Earnhardt"	0.0728504
"Tegla Loroupe"	0.0728329
"Lance Armstrong"	0.07249
"Lee Janzen"	0.0724147
"Alberto Tomba"	0.0723505
"Shane Mosley"	0.0722388
"Michael Schumacher"	0.0722153
Bruguera	0.0721611
Sotomayor	0.0720989
"Paul Lawrie"	0.071875
Kong	0.0717293
"Li Xuemei"	0.071506
"Juan Montoya"	0.0712246
"Hicham El Guerrouj"	0.0712011
"Kjetil Andre Aamodt"	0.0711314
"Miguel Indurain"	0.0710544
"Lindsay Davenport"	0.0708216
"Dale Jarrett"	0.070746
"Julius Francis"	0.0706057
"Ji Xinpeng"	0.0705863
))
(C@ (desc 2787.88) (sims
K@	0.232249
D@	0.20744
H@	0.203579
e@	0.180341
B@	0.152172
a@	0.12582
G@	0.104553
C-@	0.0886894
F@	0.0851183
C@@	0.0800666
decathlon	0.0705929
Z@	0.0703244
F@@	0.0692671
amaryllis	0.0643381
g.	0.0599343
epee	0.0544636
"hammer throw"	0.0528257
p.	0.0517652
repechage	0.0493674
F.	0.0491094
EuroLeague	0.0486405
Independiente	0.0469782
H	0.0456329
Internet@	0.0451217
second-fastest	0.0444329
V@@	0.0444225
Miata	0.0444027
miler	0.0443496
enema	0.044268
"round robin"	0.0432858
JERRY's	0.0414124
daffodil	0.0413038
"high jump"	0.0411692
H.	0.0403406
B.	0.040312
O.	0.0401948
make-over	0.0401754
))
(C@@ (desc 1573.32) (sims
F@@	0.195054
Z@	0.125752
GT	0.104647
Z@@	0.0982661
"Ford Mustang"	0.0934707
S@@	0.0921647
Thunderbird	0.0875304
"Arturs Irbe"	0.0854664
C@	0.0800666
Camaro	0.0788028
"Trevor Kidd"	0.0753535
subcompact	0.0752346
Skoda	0.0737161
hatchback	0.0722441
two-seater	0.0720319
Mustang	0.071885
Camry	0.0702894
"Steve Beuerlein"	0.0702642
Acura	0.0670631
videophone	0.066298
hardtop	0.0660534
olestra	0.0633414
BLUETOOTH	0.0608912
warrant@@	0.0601153
CDMA	0.0599558
M@	0.0596086
"Anthony Johnson"	0.0592428
"Mercedes Benz"	0.0588398
mem	0.0587607
TT	0.0587452
midsize	0.0587216
IC	0.0574995
Athlon	0.0574387
corvette	0.0564662
"PT Cruiser"	0.056365
Baccarat	0.0561349
Miata	0.0555777
miler	0.0551442
ADSL	0.0550185
RAMBUS	0.054545
Stratus	0.0543973
Passat	0.0543407
"Ford Focus"	0.0542489
teardrop	0.054096
Porsche	0.0538619
dram	0.0522272
Nat	0.0521505
DeVille	0.0519461
Packard	0.0516622
Lexus	0.0512086
"Pentium II"	0.0507261
PCB	0.0505612
Saab	0.0502301
"Chuck Smith"	0.0500571
impala	0.0499147
skiff	0.0497455
"Rae Carruth"	0.0493549
Citroen	0.0485546
"Pentium III"	0.0483002
Jetta	0.0478613
S-@@@	0.0474105
Gigahertz	0.0471495
"Tony Graziani"	0.0467788
Celeron	0.0460289
folate	0.0459653
Cyrix	0.0451952
SDH	0.0451543
Celica	0.0451424
SC	0.045072
"O.J Santiago"	0.0448616
"African Union"	0.0439614
Radon	0.0433254
Chevy	0.0431388
newness	0.0430067
leptin	0.0417067
Audi	0.0408371
silicon	0.0408186
G@@	0.0404944
Metcalf	0.0404559
Merced	0.0403615
))
(CA (desc 7190.93) (sims
Calif.	0.293317
FL	0.0842181
HP	0.0694322
IL	0.0682789
Seagate	0.0676966
Corel	0.0669938
AlliedSignal	0.066637
Nortel	0.0653421
AmCham	0.0645872
Transmeta	0.0631622
EMC	0.0626328
NY	0.0612986
"Halliburton Co."	0.0604708
SDB	0.0588049
"American International Group"	0.0585106
Symantec	0.0581794
"Silicon Graphics"	0.0579603
"Senate Banking Committee"	0.0579435
"Computer Associates"	0.0577462
Novell	0.0574888
YankeeNets	0.0573618
Motorola	0.0571061
MD	0.0567556
"Ask Jeeves"	0.0563587
NiSource	0.0562761
"Senate Budget Committee"	0.0561321
"Fannie Mae"	0.055979
RealNetworks	0.0556141
Aventis	0.0555926
ALZA	0.0549606
"U.S. Trust"	0.0549079
Aegon	0.0544802
CT	0.0543048
CDB	0.0542769
RAMBUS	0.0542332
EarthLink	0.0542204
Mobil	0.0540832
"Symantec Corp."	0.0537583
Inktomi	0.0537075
"Hongkong Telecom"	0.053504
MCA	0.0533419
UTC	0.0533078
"Niagara Mohawk"	0.0532485
PictureTel	0.0531594
Enron	0.0530957
NU	0.0530669
"Oracle Corp."	0.053055
"Thermo Electron"	0.0527086
Emulex	0.0526846
"House Commerce Committee"	0.0525337
Ericsson	0.052393
Honeywell	0.0520119
Broderbund	0.0518531
Eximbank	0.0514769
"Fred Meyer"	0.0513894
Bertelsmann	0.0511797
kilometre	0.050883
Totalfina	0.0508715
"Atomic Energy Commission"	0.0508333
"Real Networks"	0.0505705
Tenneco	0.0504906
Aetna	0.0504162
Exxon	0.0503523
UNDCP	0.0503371
"Royal Dutch/Shell"	0.0502339
Nokia	0.0501337
PLDT	0.049493
AZ	0.0492704
"ELF AQUITAINE"	0.0492015
BCE	0.0490856
"Chronicle Publishing"	0.0487944
DLC	0.0487067
Dragonair	0.0486963
Healtheon	0.0486712
Conoco	0.048637
Qualcomm	0.0484476
ARCO	0.0483776
Halliburton	0.04828
GA	0.048262
"Travelers Group"	0.048209
"Appropriations Committee"	0.0482042
Warner-Lambert	0.0481467
McKesson	0.0480377
Daimler	0.048001
Genzyme	0.0479989
Cisco	0.0478735
CCF	0.047632
"Motorola Inc."	0.0476086
TDC	0.0475802
MindSpring	0.0475786
JMC	0.047559
"Knight Ridder"	0.0475367
ABB	0.0473934
SFC	0.0471162
CIRC	0.0470803
"Housing Authority"	0.0469623
Biogen	0.0468818
BOC	0.0468501
"Hearst Corporation"	0.0468061
"Enron Corp."	0.0467842
"Commerce Committee"	0.0466518
"Sun Microsystems"	0.0466422
Celera	0.0465965
CNPC	0.0465186
Unilever	0.0465078
"Times Mirror"	0.0464069
emulator	0.0463633
Healtheon/WebMD	0.046358
Equifax	0.0463051
Hoechst	0.0462415
Lilco	0.0462177
va	0.0461339
Compaq	0.046098
WebTV	0.0460576
HKTA	0.0460541
WI	0.0459852
oracle	0.045933
NEC	0.045733
YPF	0.0456562
"National Association of Securities Dealers"	0.0456355
"Global Crossing"	0.0454239
NCR	0.0454002
Intel	0.0453121
Siemens	0.0451465
Asa	0.0450717
"First Union"	0.0449875
ACOG	0.0449503
Hitachi	0.0449409
Dell	0.0449329
Ameritech	0.0448683
"Microsoft Corp."	0.0448597
SCLC	0.0447572
AutoNation	0.0446745
Viacom	0.0445108
"Human Rights Commission"	0.0444841
"Sony Corp."	0.0444202
CNET	0.0444125
Federated	0.0443922
IDT	0.0443787
"House Budget Committee"	0.044329
CCB	0.0442506
Vivendi	0.0442074
NatWest	0.0441199
"Banking Committee"	0.0441088
Pepsico	0.0440378
SmithKline	0.0439845
Monsanto	0.0439758
Georgia-Pacific	0.0437929
BASF	0.0437348
TCI	0.0437053
"Senate Appropriations Committee"	0.0436733
"Aetna Inc."	0.0436502
Ciena	0.0436424
wa	0.0435235
"House Government Reform Committee"	0.0435185
Lucent	0.0434842
Hewlett-Packard	0.0434789
Fiat	0.0434751
DC	0.0434537
Seagram	0.0434508
"Nevada Athletic Commission"	0.0433944
Gillette	0.0433358
"Time Warner"	0.04333
AMR	0.0432877
SFX	0.0432859
"Air Lanka"	0.0432627
Webvan	0.0432553
"National Republican Congressional Committee"	0.0432323
"BP Amoco"	0.043226
EDS	0.043122
Cablevision	0.0430868
EAC	0.0429112
"New York Civil Liberties Union"	0.0426941
"Nortel Networks"	0.0424732
Texaco	0.0423937
Schlumberger	0.0423502
Medtronic	0.0421874
"Siemens AG"	0.0421357
CMGI	0.0421114
CAA	0.0420885
Scientific-Atlanta	0.0420555
"House Appropriations Committee"	0.0419966
CSE	0.0419104
Chiron	0.0418787
Softbank	0.0418707
ABA	0.0417853
Generali	0.0417824
PEOPLESOFT	0.0417028
"Civil Aviation Authority"	0.0416932
CMA	0.0416757
"Dow Jones &AMP; Co."	0.0416745
Belo	0.0416411
USEC	0.0415931
Lukoil	0.0415875
Bi	0.0414224
Westinghouse	0.0413558
"San Miguel"	0.0411951
PA	0.0411053
"Ninth CPPCC National Committee"	0.0410742
"Royal Bank"	0.0410111
))
(CAA (desc 748.788) (sims
DEP	0.228319
BIA	0.187352
OCA	0.155825
"US State Department"	0.154101
AOC	0.153963
GSS	0.152285
AFA	0.150266
SSB	0.146037
"Defense Agency"	0.14368
DMV	0.14206
PBA	0.142009
NRC	0.140961
CONCACAF	0.13666
"Southwest Conference"	0.135967
EOHR	0.135581
TDB	0.13463
NHRA	0.132951
ISU	0.132191
"Truth Commission"	0.131132
IEA	0.13052
"Big West"	0.130407
FSA	0.13023
"Western Athletic Conference"	0.130058
CSE	0.130052
"U.S. Soccer Federation"	0.130043
SDPC	0.126667
USTA	0.12543
PNP	0.12463
CCF	0.124419
WEF	0.123533
Caltrans	0.123358
MPAA	0.122695
CIRC	0.122601
HKTA	0.121634
NSA	0.121564
PUC	0.121356
C-USA	0.120936
"British Foreign Office"	0.119732
CFTC	0.119205
CWA	0.119076
"U.S. Treasury Department"	0.118165
PBSI	0.117962
SAA	0.117636
DFG	0.117211
TDC	0.116476
ITF	0.116353
CPAFFC	0.116042
BOI	0.115927
"Big Sky Conference"	0.115562
SBA	0.11525
IEC	0.11497
"Labor office"	0.114172
NTSB	0.113716
ITC	0.113695
ZCTU	0.113334
"Hong Kong Open"	0.113049
"Georgia Power"	0.11285
ATF	0.112646
MDC	0.112243
F.A	0.112137
NHTSA	0.111665
HCFA	0.110917
"Health and Welfare Ministry"	0.110146
HHS	0.109838
ACFTU	0.109705
DOJ	0.108728
"Public Security Ministry"	0.108011
CEC	0.107836
COSATU	0.107468
"U.S. Immigration and Naturalization Service"	0.10719
BSF	0.107063
AAA	0.107024
MCC	0.106876
"Civil Aviation Authority"	0.106657
DEA	0.106421
"World Championship"	0.106328
Nepa	0.105398
WAC	0.105303
CBI	0.105081
Hynes	0.104834
NSC	0.104346
"U.S. Golf Association"	0.10395
"Boys Ranch"	0.103795
Tat	0.103237
"Health Department"	0.102999
"Economic Planning Agency"	0.102958
FEMA	0.102904
"Transportation Department"	0.102696
WCC	0.102687
EBRD	0.102568
Starwood	0.10249
"Department of Corrections"	0.102349
NCR	0.102216
IAI	0.102102
NARAL	0.101817
Lucasfilm	0.101788
"Hopman Cup"	0.101311
PSE	0.101154
AMF	0.101118
NLRB	0.100641
NCEC	0.100632
EEOC	0.10047
Ganassi	0.10014
"Russian Space Agency"	0.0999857
FIBA	0.0986378
"Israeli Foreign Ministry"	0.0986342
"Nuclear Regulatory Commission"	0.0981284
"Fish and Wildlife Service"	0.0977749
DFB	0.0977206
Comelec	0.0976462
ACOG	0.0973764
"National Collegiate Athletic Association"	0.09704
FTC	0.0970053
BSA	0.0968705
THA	0.0968303
RNC	0.096437
"customs service"	0.0961866
KPA	0.0957558
EPA	0.0953749
UD	0.0953614
SEC	0.0951897
RIAA	0.0948315
IU	0.09468
"New York Civil Liberties Union"	0.0942795
"Russian Defense Ministry"	0.0942539
ARATS	0.0942321
"J&AMP;J"	0.0941952
PSC	0.094104
ATC	0.093905
Caldor	0.0939029
IAAF	0.0938131
"Conference USA"	0.0937374
"England Club"	0.0937286
Ingalls	0.0935917
LPGA	0.0935383
"Federal Emergency Management Agency"	0.0935371
TRC	0.0934884
OSHA	0.0934509
SEABROOK	0.0932648
IBRA	0.0931868
CSC	0.0930844
"U.S. Fed"	0.0929274
"Forest Service"	0.0927762
CBK	0.0927142
"Sydney Olympic"	0.0924483
WIPO	0.0923882
UNC	0.0917536
UNAMET	0.0917352
"U.S. Defense Department"	0.0915007
"Texas Department of Public Safety"	0.091483
JAL	0.0914216
ICBC	0.0914032
CSRC	0.0911694
INEC	0.0911264
"Funny Car"	0.091119
HKFA	0.0911089
CBO	0.0910462
CCPIT	0.0910065
TAZARA	0.0908568
SJC	0.0907245
PECC	0.0906888
USGA	0.0906687
ABA	0.0904872
DP	0.0902482
WTA	0.0901443
FEC	0.0901257
NCI	0.0900603
FAA	0.0898448
SFA	0.0897075
Pacific-@@	0.0896252
"Park Service"	0.089413
All-Tech	0.0893048
DEC	0.0887442
MII	0.0887343
"U.S. Environmental Protection Agency"	0.0884322
UNRWA	0.0883135
"Little League World Series"	0.0882691
"National League West"	0.0878965
DMA	0.0878481
"Downing Street"	0.0876817
ENTREMED	0.0876336
"United States Open"	0.0874398
Callaghan	0.0873552
"Culture Ministry"	0.0873024
"P&AMP;G"	0.0872302
NiSource	0.0870431
va	0.0870123
SCI	0.0869677
Massport	0.0869523
CSX	0.0867381
"Department of Motor Vehicles"	0.0867072
UC	0.0865634
"Education Department"	0.0864941
"Drug Enforcement Administration"	0.086386
"Transport Ministry"	0.0862782
"WTA Tour"	0.0862101
USDA	0.0860056
"National Police"	0.0858408
EC	0.0855754
NLD	0.0855436
))
(CAAC (desc 2245.51) (sims
SEPA	0.169113
"Israeli Foreign Ministry"	0.156697
Nepa	0.147397
"Defense Agency"	0.146532
CNTA	0.140604
CIRC	0.136889
"Civil Aviation Administration of China"	0.132754
"State Administration of Cultural Heritage"	0.129222
ICBC	0.127058
MII	0.12571
SDPC	0.123402
"Russian Space Agency"	0.11729
TDB	0.11576
FEMA	0.111346
"State Administration of Taxation"	0.107099
UNIDO	0.105164
CSRC	0.103318
"U.S. Soccer Federation"	0.103153
"Agriculture Ministry"	0.102278
Comelec	0.100866
"State Economic and Trade Commission"	0.100582
"Department of Public Health"	0.100492
WIPO	0.098916
USAID	0.0988622
KPA	0.0987431
SFA	0.0981113
SFC	0.096316
BOC	0.0955453
"China National Tourism Administration"	0.0953857
"State Bureau of Environmental Protection"	0.0951038
MOFTEC	0.0947925
PNP	0.0937413
"Culture Ministry"	0.0933353
"Education Department"	0.0925703
"Health Ministry"	0.0922241
"Immigration Department"	0.091408
Aeroflot	0.0911581
"Ministry of Forestry"	0.0909614
"Ministry of Water Resources"	0.0908778
"Ministry of Construction"	0.090585
CCB	0.0904814
"U.S. Immigration and Naturalization Service"	0.090466
"Ministry of Railways"	0.0897424
"Russian Defense Ministry"	0.0895733
"State Development Planning Commission"	0.089251
"Department of Corrections"	0.0891905
IEA	0.0886182
ADL	0.0885891
"State Environmental Protection Administration"	0.0885881
ILO	0.0882939
HKTA	0.0881893
IAI	0.0880047
"State Bureau of Cultural Relics"	0.087388
NIH	0.0869537
CNOOC	0.0866848
"National Bureau of Statistics"	0.0864811
CSE	0.0862661
ATC	0.0862308
"Ministry of Public Security"	0.0860676
"State Statistics Bureau"	0.0858033
"Public Security Ministry"	0.085644
"National Hurricane Center"	0.0855373
"Beijing Municipal Government"	0.0845456
"U.S. Administration"	0.0828725
"Health and Welfare Ministry"	0.0827612
COSCO	0.0821033
CSA	0.0818562
"Transport Ministry"	0.0817325
OSHA	0.0817256
NCI	0.0812071
"Health and Human Services Department"	0.0811568
HCFA	0.0810664
"Census Bureau"	0.0806629
NHTSA	0.080027
CMA	0.0800178
"Truth Commission"	0.0799651
CCF	0.0799277
"Civil Aviation Authority"	0.0798536
"Presidential Office"	0.0797533
"Ministry of Foreign Trade and Economic Cooperation"	0.0797038
Massport	0.0795979
ICA	0.0795627
BOI	0.0791071
"State Forestry Administration"	0.0787663
"Airport Authority"	0.0786314
"Park Service"	0.0784758
PBOC	0.0784063
SETC	0.0782862
FAA	0.0778229
"National Marine Fisheries Service"	0.077396
"State Administration of Foreign Exchange"	0.0773873
FSA	0.0772944
SDB	0.0769685
CAA	0.0768593
BNFL	0.0764986
"Political Department"	0.0764347
"Thai Foreign Ministry"	0.076425
CSC	0.0763097
SPP	0.0760996
Tat	0.0759439
"patent office"	0.0756897
SSB	0.0751721
Pemex	0.0751468
"Xinhua News Agency Hong Kong Branch"	0.0748095
"Fish and Wildlife Service"	0.0747244
"Ministry of Agriculture"	0.0746511
"National Park Service"	0.0746259
"State Council"	0.0740376
Guggenheim	0.0739933
"Home Ministry"	0.0738689
ARATS	0.0733801
DEP	0.0730924
ACFTU	0.0729631
"Health Department"	0.0726015
CCA	0.0725727
"Housing Authority"	0.0723822
AOC	0.0722705
UNFPA	0.0722332
"State Administration for Industry"	0.0722132
Kimbell	0.0720119
"Ministry of Civil Affairs"	0.0717867
"Education Ministry"	0.0717733
FAO	0.0717517
OCA	0.0715309
"planning commission"	0.0712589
INEC	0.0711051
UNDCP	0.0706927
"Office of Management and Budget"	0.0703638
USTA	0.0703161
"U.S. Census Bureau"	0.0701586
UNESCO	0.0701403
"British Foreign Office"	0.0699415
"Gulf Air"	0.0698744
"Visa International"	0.069843
"Industry Ministry"	0.0697098
"Economic Planning Agency"	0.06942
"State Planning Commission"	0.0693785
FSB	0.0693408
ACWF	0.0692083
"Department of Environmental Protection"	0.0687347
"Ministry of Public Health"	0.06864
Wada	0.0686285
IAEA	0.0684805
"municipal government"	0.0681614
BSA	0.0681372
"Vietnam Airlines"	0.0680854
Wyeth	0.0680141
"National Economic Council"	0.0679573
"Justice Ministry"	0.0679231
IFC	0.0678818
"Interior Ministry"	0.0678089
"British government"	0.0676379
CPSC	0.0676105
"Air India"	0.0675279
CDB	0.0674266
"U.S. Agriculture Department"	0.067385
"Federal Emergency Management Agency"	0.0673298
"National Tourism Administration"	0.0671774
"State Seismological Bureau"	0.0671098
WFP	0.0670934
WEF	0.0670066
NARAL	0.0669631
"General Logistics Department"	0.0669413
"Ministry of International Trade and Industry"	0.066659
CBO	0.0666445
SBA	0.0665473
CPAFFC	0.0664392
CBI	0.0664043
"China Unicom"	0.0663677
"Commerce Ministry"	0.0662546
"Bank of China"	0.065878
TDC	0.0658655
"Chinese government"	0.0657688
KONI	0.0657559
PBSI	0.0655545
"China Southern Airlines"	0.0654743
"Liaison Office"	0.0654012
USOC	0.0651189
Mei	0.065076
"U.S. Information Agency"	0.0650135
"Iranian Foreign Ministry"	0.0649638
Antioquia	0.0648077
"State Statistical Bureau"	0.0645681
Akayev	0.0644816
UNEP	0.0644591
CNPC	0.0642831
Eximbank	0.0642593
"Kenya Airways"	0.0641012
"Ministry of Finance"	0.0636252
"General Political Department"	0.0635703
EBRD	0.0635605
furthermore	0.0635017
Garuda	0.0634922
PBC	0.0633966
TAZARA	0.0633791
"Federal Security Service"	0.0632262
"Labor Ministry"	0.0629082
BSF	0.0628471
Pertamina	0.0627922
"Carter Center"	0.0626416
))
(cab (desc 28156.6) (sims
taxi	0.188869
limousine	0.154612
van	0.15081
Limo	0.1436
taxicab	0.140814
bus	0.12918
car	0.126559
"pickup truck"	0.122588
truck	0.121938
jeep	0.119307
Ambulance	0.115006
pickup	0.113434
"school bus"	0.108835
"patrol car"	0.108823
minivan	0.108704
vehicle	0.108119
minibus	0.100441
hearse	0.0994739
trailer	0.0961527
"police car"	0.0959597
minibuses	0.0933156
Sedan	0.0920046
Tram	0.0913641
"station wagon"	0.0911629
wagon	0.0883543
subway	0.0865472
SUV	0.0855161
cabin	0.0847407
boat	0.0846872
train	0.083914
trolley	0.083895
Motorcycle	0.0822601
"shuttle bus"	0.0810272
elevator	0.0807623
airplane	0.078611
cockpit	0.078593
motorcade	0.0785814
lorry	0.0785596
"subway train"	0.0785331
Mercedes	0.0783333
"dump truck"	0.0769949
bed	0.0757914
plane	0.075584
carriage	0.0752838
"Jeep Cherokee"	0.0742702
mini-buses	0.0742612
Cruiser	0.0742073
tractor	0.073766
rickshaw	0.0736473
automobile	0.0734401
cart	0.0730254
rig	0.0727672
"squad car"	0.0725965
apartment	0.070779
"hotel room"	0.0695577
"race car"	0.0694288
cabby	0.0691004
"tractor trailer"	0.0686933
wheelchair	0.0674975
"golf cart"	0.0671997
compartment	0.0669311
"garbage truck"	0.0668649
seat	0.0668221
"motor vehicle"	0.0666846
helicopter	0.0665624
driver	0.0657309
"police van"	0.0655112
caravan	0.0651921
bathroom	0.0651123
garage	0.0648274
convertible	0.0645007
tanker	0.0639565
SUVs	0.0636469
"commuter train"	0.0626557
"fire truck"	0.0623298
"passenger car"	0.0622104
taxis	0.0618686
tank	0.0614387
tractor-trailers	0.0613474
restaurant	0.0608642
locomotive	0.0608296
ferry	0.060519
"city bus"	0.0604619
chair	0.0601683
motorbike	0.0597928
minivans	0.0597544
"fire engine"	0.0595664
hotel	0.0589459
foxhole	0.0583756
Mini-bus	0.0579809
trunk	0.0576867
shop	0.0571856
window	0.0569346
bedroom	0.0565315
chassis	0.0565267
bicycle	0.0563842
camper	0.0563827
box	0.0561931
convoy	0.0559583
RV	0.055703
kitchen	0.055585
pedestrian	0.0551568
classroom	0.0542697
engine	0.0540695
Cadillac	0.0539387
gondola	0.0538703
tire	0.0536933
stroller	0.0535513
"personnel carrier"	0.0534915
"Ford Explorer"	0.0534064
Chevrolet	0.0533389
"Ford Taurus"	0.0531951
bike	0.0530736
scooter	0.0527938
"sports car"	0.0525728
Mustang	0.0525105
motorist	0.0523503
gym	0.0522405
"passenger train"	0.0520091
"office building"	0.0519936
vessel	0.0519812
rear	0.0508914
aircraft	0.0508202
"military vehicle"	0.0508104
shuttle	0.0507813
"delivery truck"	0.0505986
Warehouse	0.0505025
Streetcar	0.0504224
door	0.050362
"subway station"	0.0501791
"mobile home"	0.0500618
Chevy	0.0498606
studio	0.0497741
"parking lot"	0.049579
toilet	0.0492563
Tower	0.0491126
"Range Rover"	0.0490219
"movie theater"	0.0489872
cage	0.0489636
"bus driver"	0.0486368
"Land Rover"	0.0483422
barge	0.04815
"dressing room"	0.0480139
suite	0.0480079
lane	0.0479687
closet	0.0479487
"dining room"	0.0479004
"fishing boat"	0.0478995
canoe	0.0475613
"public toilet"	0.0475444
"living room"	0.0475326
wheel	0.0474472
basement	0.0473782
commuter	0.047357
Toyota	0.0472194
hatchback	0.0470393
cafe	0.0470148
cubicle	0.0466968
booth	0.0466489
"electric car"	0.0466032
wreck	0.046556
lounge	0.0464017
corvette	0.0463023
V-@	0.0459735
"dorm room"	0.0458953
traffic	0.0458496
refrigerator	0.0458288
lifeboat	0.0457673
gallery	0.0452308
"bus company"	0.0451958
hallway	0.0450935
fender	0.0448334
"jail cell"	0.0447173
container	0.0445373
machine	0.0444855
passenger	0.0444847
parking	0.0443616
hauler	0.0443615
Coupe	0.04432
"stock car"	0.0442655
tent	0.0442445
"recording studio"	0.0441349
"waiting room"	0.0437832
motel	0.0436771
restroom	0.0436484
capsule	0.0436311
courtroom	0.0436117
Porsche	0.0435573
tricycle	0.0434439
loft	0.043415
"small boat"	0.0433094
fleet	0.0433073
"Mercedes Benz"	0.0432631
"gas station"	0.0432614
dorm	0.043257
Buggy	0.0432558
"apartment building"	0.0432437
"post office"	0.0431588
jet	0.0431217
"public transport"	0.043043
))
(cabal (desc 3281.11) (sims
Shayler	0.0946879
clique	0.091634
coterie	0.0827349
"Raul Salinas"	0.0693816
Meskini	0.0656999
Priebke	0.0652499
Nikitin	0.0638206
Abernathy	0.0631829
Tsvangirai	0.062747
Giacchetto	0.0623836
Ghani	0.0623831
Haouari	0.0616087
Lazarenko	0.0605682
"Nature Conservancy"	0.0598093
Faget	0.0595262
Gusinsky	0.0583018
"Abu Nidal"	0.0579241
Frankel	0.0560058
Kiareldeen	0.0559809
Pagones	0.0559521
Kazhegeldin	0.0555014
"President Lee Teng-hui"	0.0553526
"Ruiz Massieu"	0.0548731
Swango	0.0548055
Ressam	0.0542695
oligarchy	0.0539482
Icahn	0.0534291
Hamid	0.0531763
"defense lawyers"	0.0531681
twenty-six	0.0529227
"Russell Peeler"	0.0529084
Kalejs	0.0528863
Meciar	0.0528349
Ritter	0.0527602
Kozeny	0.0527416
Villanueva	0.052147
Bove	0.0518745
"Don Juan"	0.051583
Ntakirutimana	0.0515683
Ackerman	0.0515305
Lundy	0.0511939
Kopp	0.051047
Hirschfeld	0.0509445
Colburn	0.0509204
Ntuyahaga	0.0508901
Hodler	0.0507763
"Li Hongzhi"	0.0500299
McWilliams	0.0491049
"Armed Islamic Group"	0.0487287
Troussier	0.0485994
Sung	0.0484631
"core group"	0.0483887
Kasoulides	0.0483802
Krajisnik	0.0482181
"Del Toro"	0.0480017
Advani	0.0477362
McGill	0.047536
Brokaw	0.0474301
"security consultant"	0.0473778
Musa	0.0473568
Deri	0.0472749
Sakic	0.046848
bigness	0.0466306
Carruth	0.0466207
"political movement"	0.0465728
"Paolo Di Canio"	0.0465134
Stayner	0.0463532
Blackthorne	0.0459755
fraternity	0.0458941
Raduyev	0.0456812
Kulikov	0.045679
Patasse	0.045622
Saatchi	0.0455452
henchmen	0.0453463
Kornberg	0.0453219
retinue	0.0453156
Garang	0.0453032
Padilla	0.0452502
Gantamirov	0.0452039
"search committee"	0.0450559
McMullen	0.0449992
third-graders	0.0449653
Veerappan	0.0449553
Nicol	0.044816
Caldera	0.0446325
Loewen	0.044563
Kimeses	0.0444702
Postol	0.044451
"United Republic of Tanzania"	0.0443972
Schreiber	0.0442793
Yazdi	0.0442564
Sensenbrenner	0.0442137
Idris	0.0441679
armada	0.044058
Finkel	0.0439126
Englishwoman	0.043887
"Islamic Resistance Movement"	0.0436171
"Abdullah Ocalan"	0.0436167
"Islamic Jihad"	0.043588
Einhorn	0.0435438
"ad blitz"	0.0435202
McVeigh	0.0434912
Babitsky	0.0434733
Caddell	0.0434517
Lombardi	0.0433859
Wiese	0.0433491
hough	0.0433099
"Iranian Jews"	0.0432391
"inner circle"	0.0431882
Naumann	0.043142
"Bausch &AMP; Lomb"	0.043014
"Maturino Resendez"	0.0429589
Inhofe	0.0428603
provocateurs	0.042806
Mudge	0.0426783
Imperatori	0.0426778
Rudolph	0.0426297
Shipman	0.0422778
Myhrvold	0.0422365
Cendant	0.0422128
wrongdoer	0.0422118
"one penny"	0.0422092
Cianci	0.0422028
Algerian	0.0421662
Fagan	0.0421592
Papon	0.0420602
"investment company"	0.0419247
"George Speight"	0.0418542
"billion over @@ years"	0.0418376
Chung	0.0417827
Paxon	0.0417541
"advisory board"	0.0417492
Barksdale	0.0416276
Mikhailov	0.0416211
Keady	0.0416066
Aliyev	0.0415536
Trie	0.0415454
tycoon	0.0415168
Hersh	0.0413809
comprised	0.0413493
Oviedo	0.0411511
aperture	0.0411183
Washingtonian	0.0410837
Piggie	0.0410404
right-winger	0.0410157
Barclays	0.0409861
horde	0.0409029
Basayev	0.0408988
Britton	0.040888
contras	0.0408277
Mohamed	0.0408081
coven	0.0407911
"consulting company"	0.0407482
"army officer"	0.0405812
furrow	0.0404287
Gravano	0.0402993
"opera company"	0.040221
netherworld	0.0401555
Fino	0.0401388
Hanley	0.0401118
prankster	0.0400905
Paciello	0.040064
near-collapse	0.0400558
))
(Cabana (desc 2715.25) (sims
spas	0.0634041
patio	0.0633273
"tennis court"	0.0584344
"exercise equipment"	0.0581946
sauna	0.0579768
gazebo	0.057639
Jacuzzi	0.0570177
playroom	0.0565723
"resort hotel"	0.056301
"domed stadium"	0.0552726
pavilion	0.0550743
"office block"	0.0546285
"game room"	0.0544037
"skating rink"	0.052951
"basketball court"	0.0506829
Dodik	0.0505917
"entertainment center"	0.0499746
kitchenette	0.0494276
Eizenstat	0.0488605
veranda	0.0488004
"three pitchers"	0.0484039
joker	0.0460043
atrium	0.0456982
dwelling	0.0449279
Bathhouse	0.0445407
birdbath	0.0444801
Shackleton	0.0442407
Husseini	0.043932
"miniature golf"	0.0439158
landscaping	0.0436346
WSB	0.0435512
Ruggiero	0.0434859
motley	0.042824
latrine	0.0427169
"Robert Aventajado"	0.0426927
Yastrzhembsky	0.0426397
Jong	0.0425295
outbuilding	0.0422861
get-togethers	0.0421837
whirlpool	0.0419402
"pedestrian bridge"	0.0416002
Navarro	0.0415133
bed-and-breakfasts	0.0415029
Cormier	0.0412232
Mukora	0.0408266
Goldin	0.0406727
Cathay	0.0406623
Claes	0.0404129
bungalow	0.0401313
flack	0.0400728
Dobbs	0.0400574
Aliotti	0.0400134
))
(cabaret (desc 15264) (sims
musical	0.125629
ragtime	0.123675
Showboat	0.115555
vaudeville	0.109287
Fosse	0.102863
opera	0.10227
nightclub	0.0946793
off-Broadway	0.0936992
"Iceman Cometh"	0.0869545
"Annie Get Your Gun"	0.0861497
Revue	0.0830953
theater	0.0828517
"R&AMP;B"	0.0824196
"West Side Story"	0.0809418
klezmer	0.0808432
revival	0.0803082
rhythm-and-blues	0.0788399
"Lion King"	0.078739
"musical theater"	0.0784304
Broadway	0.0771045
phantom	0.0770712
Amadeus	0.0767274
Footloose	0.0764224
"musical comedy"	0.0761661
concert	0.0758243
Aida	0.0729181
"chamber music"	0.0726802
Evita	0.0722133
ballet	0.0714739
"Lincoln Center Theater"	0.071309
Motown	0.0712955
"country music"	0.0712405
Reggae	0.0703721
"opera house"	0.0689967
"Beijing Opera"	0.068318
flamenco	0.0681109
"big band"	0.0678576
Jazz	0.0673313
"dance hall"	0.0671836
oldies	0.066762
Hedwig	0.0661976
Annie	0.0660193
"Off Broadway"	0.0656626
Titanic	0.0643299
Rodgers	0.0639544
disco	0.0635475
"Beauty Queen"	0.0633284
calypso	0.0632843
"Via Dolorosa"	0.0631781
recital	0.0619778
bluegrass	0.0617362
"Blue Room"	0.0616255
gospel	0.0611714
"American Beauty"	0.0609071
"TV show"	0.060629
"chorus line"	0.0605227
"high wire"	0.0600529
striptease	0.0599834
comedy	0.0599813
"Wild Party"	0.0598467
Zydeco	0.0598358
"motion picture"	0.0596544
mariachi	0.0593472
"Sweeney Todd"	0.0591206
"True West"	0.0591153
"art gallery"	0.0589095
tango	0.058571
"Marie Christine"	0.0584966
cinema	0.0581379
"classical music"	0.0579487
coffeehouse	0.0574038
"song and dance"	0.057
"rock 'n' roll"	0.0566963
"folk music"	0.0564681
"folk song"	0.056376
"Les Miserables"	0.0560765
Nutcracker	0.0559463
Shakespeare	0.0555942
"variety show"	0.0555264
"concert hall"	0.0553475
"Peking Opera"	0.0548423
carousel	0.0542408
rodeo	0.0542053
drama	0.0540018
merengue	0.0538986
"pop music"	0.053776
"Night Fever"	0.0531732
blackface	0.052334
Brasserie	0.0523067
operetta	0.0522948
festival	0.052279
lounge	0.0517961
"scarlet pimpernel"	0.0516271
"Eyes Wide Shut"	0.0514116
"Star Wars"	0.0513567
Electra	0.0511849
karaoke	0.0511131
"television show"	0.0505304
"spoken word"	0.0504066
Vega	0.0503543
playhouse	0.0499569
"Peter Pan"	0.0498726
pageant	0.0496934
"feature film"	0.0494885
discotheque	0.049432
ensemble	0.0494187
"Saving Private Ryan"	0.0492704
"modern dance"	0.0488152
Turandot	0.0486965
Yiddish	0.0486367
"Sesame Street"	0.0483131
"Star Trek"	0.0482511
"Twelfth Night"	0.0481934
Bolshoi	0.0479712
"Christmas carol"	0.0477953
"popular music"	0.047754
solo	0.0477184
glam	0.0477177
"Forrest Gump"	0.0477089
"American Pie"	0.0476179
"Don Giovanni"	0.04757
bebop	0.0475697
"Good Will Hunting"	0.047473
Macbeth	0.047367
"Smoke Signals"	0.047243
adaptation	0.0471847
"folk dance"	0.0469676
circus	0.0467004
extravaganza	0.0465784
"world premiere"	0.0465353
"show business"	0.0464946
Porgy	0.0464889
sitcom	0.0464844
saloon	0.0463909
fiddler	0.0462124
"La Traviata"	0.0462066
repertory	0.0461653
"Ballet Theater"	0.0460891
"avant garde"	0.0460525
Woodstock	0.0456961
psycho	0.0456523
Beatles	0.0456404
breakout	0.0456369
"music hall"	0.0455861
"Erin Brockovich"	0.0455152
cafe	0.045315
"high fidelity"	0.0450619
pub	0.0450264
"English Patient"	0.0450257
gala	0.0450025
Pleasantville	0.0449913
"Full Monty"	0.04481
Carnival	0.0446562
"TV movie"	0.0445816
Latin	0.0444598
"Swan Lake"	0.0444131
"art exhibition"	0.0443336
parlor	0.0443287
theatre	0.0443026
Riverdance	0.0442495
documentary	0.0441999
choir	0.0441559
staging	0.0440433
"high society"	0.043974
symphony	0.043802
encore	0.0437623
"wise guy"	0.0437265
cartoon	0.0435482
"Civil Action"	0.0435411
"Truman Show"	0.0434292
Steakhouse	0.0434128
"TV commercial"	0.0432016
indie	0.043157
Camelot	0.0431081
Iceman	0.0430391
Recording	0.0430301
soprano	0.042954
follies	0.0429456
"Tony Awards"	0.0428619
"King Lear"	0.0428303
Romeo	0.0427756
"soap opera"	0.0426522
composer	0.0425635
"Notting Hill"	0.0425365
"West End"	0.0424773
ballroom	0.0424701
"South Park"	0.0423288
Sondheim	0.0423071
salsa	0.0422798
remake	0.0422387
blockbuster	0.0421693
"Perfect Storm"	0.0420748
"sleeping beauty"	0.042002
skit	0.0417957
"comic book"	0.0417449
gallery	0.0416697
Gershwin	0.0415735
Fantasia	0.0414096
acrobatics	0.0413609
quartet	0.0412804
))
(cabbage (desc 14050.3) (sims
celery	0.290297
zucchini	0.287453
lettuce	0.284683
carrot	0.270159
onion	0.265437
spinach	0.263866
leek	0.263072
Broccoli	0.260061
"brussels sprout"	0.254758
cucumber	0.250028
beet	0.240264
radish	0.239982
cauliflower	0.239855
tomato	0.23417
Kale	0.234118
potato	0.225307
fennel	0.223719
eggplant	0.222285
"green bean"	0.218258
"bell pepper"	0.217103
turnip	0.214088
asparagus	0.212356
"green onion"	0.209464
"red onion"	0.208702
mushroom	0.204352
parsnip	0.200796
"sweet potato"	0.200118
arugula	0.199463
artichoke	0.19792
scallion	0.194936
bean	0.193094
shallot	0.189505
pea	0.189164
okra	0.186425
"green pepper"	0.186318
Garlic	0.185192
chard	0.18338
parsley	0.179939
squash	0.177374
"romaine lettuce"	0.175494
cheese	0.173739
"red pepper"	0.173527
pepper	0.169842
"bok choy"	0.16958
rutabaga	0.166916
vegetable	0.166233
romaine	0.165299
cilantro	0.164743
watercress	0.164265
plantain	0.162512
lentil	0.162397
"bean sprout"	0.162323
Basil	0.161711
"winter squash"	0.161455
corn	0.157808
"Swiss chard"	0.157682
"collard greens"	0.156177
noodle	0.154144
Collard	0.153219
"black bean"	0.150875
pumpkin	0.149957
sauerkraut	0.149465
ham	0.149136
sausage	0.148851
jalapeno	0.148419
"iceberg lettuce"	0.147264
pasta	0.145057
"pine nut"	0.1446
melon	0.144341
avocado	0.144187
pork	0.143989
pancetta	0.143421
RHUBARB	0.143126
olive	0.142727
Endive	0.140793
mango	0.140381
chive	0.140071
"goat cheese"	0.139538
Sorrel	0.139041
"tomato sauce"	0.138653
walnut	0.137591
"Chinese cabbage"	0.137415
"lima bean"	0.136943
chicken	0.136742
bacon	0.135184
pineapple	0.134747
ginger	0.13462
"garlic clove"	0.134545
tofu	0.134236
veggie	0.133587
shrimp	0.132908
watermelon	0.132576
lemon	0.132023
mustard	0.131023
chilies	0.130646
"white bean"	0.130216
salad	0.129562
mint	0.128136
Chickpea	0.127769
herb	0.127168
bread	0.126558
florets	0.125185
radicchio	0.125019
pickle	0.124672
thyme	0.124467
broth	0.124207
"snow pea"	0.123932
raisin	0.123798
peach	0.123557
coconut	0.123441
"chicken breast"	0.123131
macaroni	0.12311
barley	0.122952
"string bean"	0.122834
dill	0.122644
tomatillo	0.121148
banana	0.121041
"cherry tomato"	0.119008
pear	0.119005
"white rice"	0.118507
yam	0.118222
"blue cheese"	0.118127
mesclun	0.11804
yogurt	0.117944
almond	0.117369
"fava bean"	0.115296
prosciutto	0.115271
chiles	0.115015
rice	0.114954
"potato salad"	0.114831
apple	0.114249
meat	0.113674
grape	0.113424
lime	0.113026
"sour cream"	0.112776
beef	0.112444
ricotta	0.112143
strawberry	0.111781
sauce	0.111275
"grated cheese"	0.111196
fruit	0.111158
"water chestnut"	0.110529
frisee	0.110089
cantaloupe	0.110055
chutney	0.109873
"cheddar cheese"	0.109596
pecan	0.10914
egg	0.108863
soup	0.108595
mozzarella	0.108582
oregano	0.1084
"black-eyed pea"	0.108069
papaya	0.107761
mayonnaise	0.10708
tortellini	0.10654
fig	0.106491
peanut	0.106436
cassava	0.106353
"black olive"	0.106036
"ground beef"	0.105963
"soy sauce"	0.105779
"shiitake mushroom"	0.105015
"cottage cheese"	0.104939
"lime juice"	0.104936
bulgur	0.1049
"hot pepper"	0.104145
horseradish	0.103879
slaw	0.103814
mutton	0.103682
gravy	0.103566
vinegar	0.103544
Parmesan	0.103461
steak	0.103371
"Swiss cheese"	0.102921
"bay leaf"	0.102882
salami	0.102794
tuna	0.102609
berry	0.102553
cranberry	0.10147
juice	0.10135
"coconut milk"	0.101311
Chili	0.101152
"roast beef"	0.101142
butter	0.10104
sprout	0.10095
"tomato paste"	0.10053
"lemon juice"	0.100301
blueberry	0.0999514
lamb	0.0999406
"chicken broth"	0.0998226
puree	0.0997853
"green salad"	0.0996493
apricot	0.0988022
Cherry	0.0977933
"orange juice"	0.0977412
chorizo	0.0976415
salt	0.0970719
soybean	0.0968461
raspberry	0.0965642
salsa	0.0964079
))
(cabbie (desc 2073.04) (sims
passerby	0.0793799
Lugo	0.0749656
cabdriver	0.0746751
"press agent"	0.0722324
"police lieutenant"	0.067946
cabby	0.0615718
"newspaper publisher"	0.061149
Noor	0.0609166
newspaperman	0.0585527
"enlisted man"	0.057948
Faulder	0.0579442
"police captain"	0.0578944
"foster mother"	0.0572498
Baumhammers	0.0572274
Sehorn	0.056024
Hage	0.0558233
yachtsman	0.0557324
Stayner	0.0552391
passersby	0.0545893
Pvt	0.0545045
"break of serve"	0.0539403
"hotel manager"	0.0538187
Sharma	0.0537321
Hensley	0.0534333
Quebecers	0.0527909
"school girl"	0.0524975
Battie	0.0523627
Laudor	0.0522759
"Massimo D'Alema"	0.0522569
motorcyclist	0.0518962
"political boss"	0.0511442
Shayler	0.0511026
oddsmakers	0.0509105
"robbery suspect"	0.0507506
Broaddrick	0.0506991
Kehoe	0.050531
Snead	0.0504436
Qaddafi	0.0504001
masseuse	0.0503533
Soyinka	0.0502019
Rideau	0.0498358
deliveryman	0.0497801
"Patsy Ramsey"	0.0493868
"church member"	0.0486585
speller	0.0485438
"letter writer"	0.0485106
cityscape	0.0480934
"El Hage"	0.0479979
"day laborer"	0.0477946
"literary agent"	0.0477204
restaurateur	0.0476057
plumber	0.0474865
Fuentes	0.0470767
seamstress	0.0469942
"lynch mob"	0.0469106
Cullen	0.0467264
congresswoman	0.0467196
septuagenarian	0.0466735
pressman	0.0466286
"bond trader"	0.0463549
bettor	0.0463054
"drama critic"	0.045947
"Sam Rainsy"	0.0459357
"bus driver"	0.0459331
firefighter	0.0458376
Englishman	0.0456776
"guard dog"	0.0456579
Nickerson	0.045572
"Scotty Bowman"	0.0455277
Giacchetto	0.0454835
mafioso	0.0453286
Bautista	0.0453278
"a few thousand dollars"	0.045302
Kazhegeldin	0.0451979
Hsu	0.0451504
"Maturino Resendez"	0.0450559
Musa	0.0450273
Lundy	0.0449902
Grunow	0.0448922
Solis	0.0448586
three-and-out	0.0448117
Bostonians	0.0447228
Duran	0.0447012
sportswriter	0.0445825
folklorist	0.0444848
serviceman	0.0444634
"school principal"	0.0444549
Anand	0.04426
Padilla	0.0439528
"right whale"	0.043807
headwind	0.0438014
bookie	0.0437183
"police sergeant"	0.043588
Eran	0.0435294
McWilliams	0.0434382
Matasareanu	0.0434132
"real estate agent"	0.0433616
"Mary Tyler Moore"	0.0433373
"black person"	0.0432255
Realtor	0.0432208
"Betsey Johnson"	0.0431737
Landry	0.0431465
"Maturino Resendiz"	0.0429705
Rudman	0.0428662
Korman	0.0426097
shopkeeper	0.0425391
bystander	0.0424736
Napolitano	0.042464
Hornaday	0.0424612
DVD-ROM	0.0424549
Wheatley	0.0423622
ex-mayor	0.042344
Hendricks	0.0422466
"Rich Becker"	0.0421963
Reimer	0.0421846
"welfare worker"	0.0421153
Cavallo	0.0420927
"art dealer"	0.0420729
"Jar Jar"	0.0420512
Reinhardt	0.0420403
stuntman	0.0420281
psychotherapist	0.0419831
Lari	0.0419644
assemblyman	0.0419509
landscaper	0.0419069
bartender	0.0418137
dowager	0.0416685
"tax collector"	0.0415829
Einhorn	0.0414836
housewife	0.0414685
Nasrin	0.0414637
townspeople	0.0412073
headhunter	0.0411889
scriptwriter	0.0411841
"little leaguer"	0.0411422
Floridian	0.0411268
"booking agent"	0.0410446
roofer	0.0410379
Szabo	0.0410272
Lennox	0.040942
"Angel Maturino Resendiz"	0.0408666
Kaczynski	0.0408658
socialite	0.0408546
"intelligence analyst"	0.040846
Jenoff	0.0408354
tanner	0.0407618
"jewelry store"	0.0407573
"Sam Schmidt"	0.040706
Mandella	0.0406268
"Cary Stayner"	0.0405887
Canty	0.0404958
Paciello	0.0404852
Rankin	0.0404497
Simmons	0.0404449
"Darrell Waltrip"	0.0403815
Schreiber	0.0403112
Kesri	0.040308
jeremiad	0.0402628
Wilhelm	0.0402317
))
(cabby (desc 3776.53) (sims
cabdriver	0.096311
Copt	0.0953156
"bus driver"	0.085642
Irishmen	0.0833716
"police lieutenant"	0.0769757
taxicab	0.0746811
eighth-graders	0.0732922
tribesman	0.0718735
motorcyclists	0.0702307
motorist	0.0701286
picketers	0.0700385
busboy	0.0694339
cab	0.0691004
Frenchmen	0.0682754
crewmembers	0.0670662
"prison guard"	0.0661311
Quebecers	0.0659013
"newspaper publisher"	0.0652055
birder	0.0648607
miner	0.0647454
"Orthodox Jews"	0.0646013
theatergoer	0.0634307
"truck driver"	0.0633524
"Coptic Christians"	0.0628969
trucker	0.0628712
"Southern Democrats"	0.0628285
"political boss"	0.0626508
restaurateur	0.0626239
farmworkers	0.0625984
boater	0.0623433
Missourian	0.062155
meatpackers	0.0620074
pedestrian	0.0619009
cabbie	0.0615718
taxi	0.0613853
vacationer	0.0608849
hemophiliac	0.0607048
Guatemalan	0.0605606
noncombatant	0.0605458
dockworkers	0.0600415
businesswoman	0.0599843
seamen	0.0598262
Arab-Americans	0.0597399
Atlantans	0.0595477
enactors	0.0591878
janitor	0.0591839
"black person"	0.0589818
"church member"	0.0588366
worshipper	0.0587625
skydiver	0.0587047
lobstermen	0.0586554
protestor	0.057655
Cuban-Americans	0.0570078
craftsmen	0.0567805
"JonBenet Ramsey"	0.0566871
congregants	0.0565386
constable	0.0562838
Klansmen	0.0562083
"Southern Baptists"	0.0559981
"day laborer"	0.0559274
"literary agent"	0.0558943
hostage-takers	0.0557474
bartender	0.0553495
bellhop	0.0553488
"monarch butterfly"	0.0553484
trooper	0.0553361
"Albanian Kosovars"	0.055296
policemen	0.0550595
worshiper	0.054943
illegals	0.0548361
gangster	0.0546846
Chinese-Indonesians	0.0546095
concertgoers	0.0545327
literati	0.0545056
"North Carolinian"	0.0545043
mushers	0.0544534
"coal miner"	0.0542489
"New Jerseyans"	0.0542228
Navajos	0.0540767
commuter	0.0538885
"Amadou Diallo"	0.0535742
Sikh	0.0535516
"art dealer"	0.0533264
Chilean	0.0533262
westerner	0.0531728
Bostonians	0.0531026
"child welfare agency"	0.0530393
jogger	0.0529799
prostitute	0.0528793
Vermonter	0.0528768
"factory worker"	0.0526799
airmen	0.0526751
crewmen	0.0526385
"school principal"	0.0526363
"Mount Sinai Medical Center"	0.0525807
Nepalese	0.0525253
shopkeeper	0.0524737
crewmates	0.0524344
Ukrainians	0.05233
passers-by	0.0522374
"Solomon R. Guggenheim Museum"	0.0521987
fourth-graders	0.0521773
rioter	0.0521747
"union member"	0.0521291
transient	0.0521184
marcher	0.052078
"welfare worker"	0.0520483
"East Timorese"	0.0520159
"drug dealer"	0.0520159
"Penn Station"	0.0519972
enlistee	0.0518922
Asian-Americans	0.0518176
Honduran	0.0518091
schoolchildren	0.0517173
dissident	0.0515202
"Kosovo Serbs"	0.0515
Fishermen	0.0514004
Webdale	0.0512189
"South Carolinian"	0.0511761
waitress	0.0511545
Briton	0.0509985
Ugandan	0.0508656
oddsmakers	0.0508611
"music lover"	0.0508279
Southerner	0.0508179
"police sergeant"	0.050686
"art student"	0.0505477
matron	0.0505066
celebs	0.0504987
"Cuban Americans"	0.0504747
"dock worker"	0.0503975
evangelicals	0.0503264
non-Albanians	0.0503224
"Mount Sinai Hospital"	0.0501336
"Puerto Rican"	0.049738
Novak	0.049718
returnees	0.0496944
"subway train"	0.0496749
deserter	0.0496522
Ghanaians	0.0496498
Muscovite	0.0495296
snowmobilers	0.0494645
franchisees	0.0493838
"garment worker"	0.0493685
"union worker"	0.0493531
psychopath	0.0493362
Hindu	0.0493291
"Waldorf-Astoria Hotel"	0.0493116
skiiers	0.0492502
craftspeople	0.0491397
policeman	0.0491255
"North Koreans"	0.0491183
preservationists	0.0490768
homeowner	0.0489889
doormen	0.0489528
detainee	0.0488702
"Martha Moxley"	0.0488453
earthling	0.048819
Haitian	0.0488025
"plastic surgeon"	0.048744
"Rockefeller University"	0.0487222
"business establishment"	0.0486296
dermatologist	0.0485982
"police detective"	0.0485088
vintner	0.0483934
"bond trader"	0.0483769
scalpers	0.0483413
thug	0.0482228
obstetrician	0.048186
fisherman	0.048132
churchgoer	0.0481283
congressmen	0.0480467
"Galina Starovoitova"	0.0480432
"Medicare HMOs"	0.0478735
schizophrenic	0.0478401
psychotherapist	0.0478299
minstrel	0.0478089
"Memorial Sloan-Kettering Cancer Center"	0.0478035
"health professional"	0.0478024
"interior designer"	0.0477884
mobster	0.0476919
resellers	0.0476696
cleric	0.0476599
waiter	0.0475017
"dairy farmer"	0.0474424
shuttlers	0.0473909
stowaway	0.0473908
O'Hair	0.0473645
SMIs	0.0473341
"South Koreans"	0.0473047
"drug user"	0.047248
"black man"	0.0472352
Kurds	0.0471885
countrymen	0.0471874
submariner	0.0470889
Cambodian	0.0470809
Bellush	0.0469376
sparrow	0.0469173
celebrant	0.0468617
"university student"	0.0468353
))
(cabdriver (desc 3740.96) (sims
"police lieutenant"	0.102927
"bus driver"	0.0978977
cabby	0.096311
"police sergeant"	0.096289
restaurateur	0.0827714
cabbie	0.0746751
"truck driver"	0.0743879
councilwoman	0.073213
"police detective"	0.0721381
bricklayer	0.0693071
shopkeeper	0.06908
"police captain"	0.0687348
"interior designer"	0.0671669
officals	0.0670046
"art dealer"	0.0669525
"literary agent"	0.0666668
"welfare worker"	0.0652693
hairdresser	0.0633093
electrician	0.0620878
"newspaper editor"	0.061909
newspaperman	0.0615084
"real estate agent"	0.0609972
optometrist	0.0608171
businesswoman	0.0606341
"funeral director"	0.0602527
"jewelry store"	0.0600652
obstetrician	0.0599102
dietitian	0.0594481
firefighter	0.0592459
internist	0.0584168
stockbroker	0.0582673
"real estate broker"	0.0577342
"ballet dancer"	0.057276
"civic leader"	0.0570669
alderman	0.0570043
schoolteacher	0.0565833
homemaker	0.056453
"school teacher"	0.0560843
motorcyclists	0.0559658
psychotherapist	0.0557301
"property owner"	0.0556037
doorman	0.0550976
accountant	0.0542858
Councilman	0.0541267
dermatologist	0.0540284
"church member"	0.0533449
"social worker"	0.053305
"school principal"	0.0532778
"newspaper publisher"	0.053081
"coal miner"	0.0529772
Londoner	0.0526517
redhead	0.0525961
policeman	0.0521197
"subway station"	0.0518155
"insurance agent"	0.0517212
Gullit	0.0516607
psychoanalyst	0.0516553
waitress	0.0512363
janitor	0.0511969
"television reporter"	0.050903
"Kosovo Serbs"	0.0508999
"phone book"	0.0508885
motorist	0.050745
"deputy sheriff"	0.0505643
taxicab	0.050194
"house painter"	0.0501481
"English teacher"	0.0499306
hawker	0.0499284
pharmacist	0.0493324
"merchant ship"	0.0492606
deliveryman	0.0491322
prostitute	0.0490725
serviceman	0.0490312
housewife	0.048937
nightlife	0.0488307
Lugo	0.0486752
"little leaguer"	0.0484706
Rodionov	0.0483773
"factory worker"	0.0483213
radiologist	0.0481664
"repertory company"	0.047966
CAC	0.0479008
fisherman	0.0478768
steelworker	0.0478731
pedestrian	0.0476939
"German Embassy"	0.047531
birder	0.0473244
passersby	0.0472926
psychiatrist	0.0472089
Pasha	0.0471952
medic	0.0469879
schoolchildren	0.0468653
CPA	0.0467831
"sports fan"	0.0466462
"medical examiner"	0.0465612
Realtor	0.0465371
firemen	0.0465259
"real estate developer"	0.0464586
"subway train"	0.0464483
nightspots	0.0464315
surveyor	0.0463834
"prison guard"	0.0463058
skyline	0.046302
"married woman"	0.0461844
"family doctor"	0.0461423
"interior decorator"	0.0461244
"school superintendent"	0.046101
panhandler	0.0459679
"French Foreign Ministry"	0.0457876
policewoman	0.0457868
jeweler	0.0457557
Musa	0.0457265
landscaper	0.045667
congresswoman	0.0454767
bartender	0.0454604
miner	0.0454509
infantryman	0.0453476
"law student"	0.0453472
"car dealer"	0.0453188
grocer	0.0452691
"fire truck"	0.0452463
chiropractor	0.0450937
"financial officer"	0.0449632
passerby	0.0449296
"business executive"	0.04492
"black person"	0.0448976
assemblyman	0.0447965
"plastic surgeon"	0.0446879
bookkeeper	0.0446326
"CAC @@"	0.0446098
decorator	0.044558
"math teacher"	0.0441866
"divorce lawyer"	0.0440043
peddler	0.0439742
"department employee"	0.043855
"press agent"	0.0437547
vagrant	0.0437529
paraplegic	0.0437351
literati	0.0436304
"blind man"	0.043445
blacksmith	0.0432654
"drama critic"	0.0432314
Montalvo	0.0430957
"tabloid newspaper"	0.0429479
trucker	0.0428281
bystander	0.0427903
"hockey coach"	0.0425839
"Israeli Embassy"	0.0424704
nun	0.0424671
Gunmakers	0.0424301
socialite	0.0423833
acupuncturist	0.0423696
Susie	0.0423554
preservationists	0.0423394
Ochoa	0.0422643
"police office"	0.042216
"security consultant"	0.042183
dentist	0.0421794
"Southern Democrats"	0.0421546
"Herbert Perry"	0.0421415
"management consultant"	0.0420054
repairman	0.041805
"jazz musician"	0.041747
"Scott Ritter"	0.0417281
"Museum of Natural History"	0.0416724
violinist	0.041655
landlord	0.0415779
"old lady"	0.0415296
Tunisian	0.0415177
"computer expert"	0.0414992
borough	0.0414522
matron	0.0414356
shoemaker	0.0411788
"Maturino Resendiz"	0.041164
shipper	0.0411426
"farm worker"	0.0411416
"rooming house"	0.0410909
"clinical psychologist"	0.0410574
sitter	0.0409972
Macedonian	0.0409704
commuter	0.0409564
seamstress	0.0409371
Klansmen	0.0409071
"major-league team"	0.0408751
corporal	0.0408022
beautician	0.0407845
squatter	0.0407459
"department head"	0.0406709
forester	0.0406187
eighth-graders	0.0405846
"altar boy"	0.0405678
"boarding house"	0.040558
receptionist	0.0404992
fortuneteller	0.0404927
airman	0.040483
weirdo	0.0404663
beggar	0.0403279
waiter	0.0403001
"hockey player"	0.0402111
loner	0.0401712
))
(Cabernet (desc 6280.17) (sims
"Pinot noir"	0.310728
"Cabernet Sauvignon"	0.307087
merlot	0.277261
Chardonnay	0.273202
Zinfandel	0.262928
"Sauvignon blanc"	0.24609
Riesling	0.222899
Syrah	0.182311
Chianti	0.137993
wine	0.13231
"Pinot blanc"	0.131639
"red wine"	0.128412
"Chenin blanc"	0.116155
"sparkling wine"	0.111545
"white wine"	0.104453
Burgundy	0.102634
Beaujolais	0.0990919
grape	0.0960033
champagne	0.0910802
tequila	0.0849656
Cognac	0.0847807
aperitif	0.0751761
"California wine"	0.0709278
Rhone	0.0705619
vintner	0.0683514
Shiraz	0.0681166
Bordeaux	0.0666005
winemaker	0.0644379
franc	0.0638259
Seltzer	0.0621244
"Bordeaux wine"	0.0617912
sherry	0.0613652
scotch	0.0613438
vintage	0.0607674
caviar	0.0602855
appellation	0.0599109
vodka	0.0597586
whiskey	0.0592005
bourbon	0.0584203
dessert	0.0582818
"Dom Perignon"	0.0578584
"spring water"	0.057546
whisky	0.0573926
seafood	0.0571558
sushi	0.0563937
winery	0.0560295
bubbly	0.0560211
"piece of work"	0.0552719
"elbow room"	0.0545437
"mineral water"	0.0544513
Thunderbird	0.0521594
"race horse"	0.0515964
liquor	0.0513488
cider	0.0492365
Calvados	0.048734
"singing voice"	0.0486549
brandy	0.048537
closers	0.0484914
"fruit juice"	0.048318
pinot	0.048262
"chemical compound"	0.0482291
citrus	0.0480671
ketchup	0.0474878
"cranberry juice"	0.0469775
"convenience food"	0.0468359
rum	0.0463555
juice	0.0463339
"root beer"	0.0462818
ale	0.0462509
truffle	0.0459878
"orange juice"	0.0455576
selenium	0.0455555
Vineyard	0.0452237
"foie gras"	0.0451755
tannin	0.0451477
lemonade	0.0447133
"Napa Valley"	0.0447069
cranberry	0.0447039
sweetness	0.0445727
Margarita	0.0443066
"Christmas gift"	0.0433456
"sports car"	0.0430309
Blanc	0.042426
compost	0.0422931
booze	0.042287
melon	0.0422475
"short ribs"	0.0421743
cuisine	0.0417146
shareware	0.0416916
cola	0.0416707
cheesecake	0.0415787
"sour grapes"	0.041552
"cane sugar"	0.0415292
croissant	0.0413367
Martini	0.0413088
Masa	0.0412134
Fragrance	0.0411926
iodine	0.0411363
"hot sauce"	0.0410051
"scrambled egg"	0.0409037
"apple juice"	0.0406684
Toulon	0.0403013
))
("Cabernet Sauvignon" (desc 6662.02) (sims
merlot	0.361071
Zinfandel	0.343175
"Pinot noir"	0.33985
Cabernet	0.307087
Chardonnay	0.305639
"Sauvignon blanc"	0.269198
Riesling	0.231069
Syrah	0.224808
"Chenin blanc"	0.179113
"Pinot blanc"	0.140271
franc	0.114046
Chianti	0.109369
wine	0.108897
"red wine"	0.107432
grape	0.103381
"sparkling wine"	0.0993927
Rhone	0.0906034
"white wine"	0.0885469
Beaujolais	0.0839851
champagne	0.0797681
Shiraz	0.0793492
Burgundy	0.076718
"Dom Perignon"	0.0736854
scotch	0.0653921
Cognac	0.0652624
pinot	0.0637359
tequila	0.0625674
appellation	0.0608124
bubbly	0.0592384
"fruit juice"	0.0565969
"California wine"	0.0537351
whisky	0.0531519
Bordeaux	0.0527167
winery	0.0525127
Vineyard	0.0523137
vodka	0.0507557
vintage	0.0507279
Blanc	0.0504216
"two pitchers"	0.0502173
surtax	0.0498306
bourbon	0.0495748
"cranberry juice"	0.0473241
juice	0.0472457
winemaker	0.047037
vintner	0.045946
aperitif	0.0452983
"root beer"	0.0444296
Calvados	0.0442375
"spring water"	0.0435196
condensate	0.0433174
absinthe	0.0424815
biosphere	0.041779
"Broadway Books"	0.0415472
"Chronicle Books"	0.0414194
"rocket engine"	0.0414177
ethanol	0.0414035
"income bracket"	0.0411133
sherry	0.0409333
ketchup	0.0408983
"Henry Holt"	0.0407484
"orange juice"	0.0407054
mouthwash	0.0406742
cider	0.0406275
Margarita	0.0406102
"Warner Books"	0.0404134
aspirin	0.0403777
"Diet Coke"	0.0400711
"tap water"	0.0400291
))
(cabin (desc 50094.2) (sims
cottage	0.155229
apartment	0.139502
room	0.13472
lodge	0.127097
cockpit	0.126497
house	0.121138
farmhouse	0.120532
compartment	0.1204
shack	0.120086
hut	0.117992
suite	0.116149
bedroom	0.115276
hotel	0.112287
inn	0.107595
"hotel room"	0.105923
shed	0.104705
trailer	0.10389
barn	0.103805
building	0.103701
kitchen	0.103551
motel	0.102454
home	0.102172
bungalow	0.101974
garage	0.100368
"mobile home"	0.100236
tent	0.0994862
condo	0.0989569
"dining room"	0.0951816
"living room"	0.0941634
dormitory	0.0936611
bathroom	0.0924679
mansion	0.0923838
lounge	0.0916972
Villa	0.0915876
dwelling	0.0890563
schoolhouse	0.0882936
classroom	0.0879134
restaurant	0.0878896
condominium	0.0873293
"log cabin"	0.0858772
basement	0.0852869
booth	0.0849136
car	0.0847856
Warehouse	0.0847412
cab	0.0847407
ranch	0.0845772
cave	0.0832993
"apartment building"	0.0827467
residence	0.0823948
campground	0.0816754
chapel	0.0802563
staterooms	0.0799301
van	0.0794543
cubicle	0.0792978
"conference room"	0.0790967
shop	0.0789326
bed	0.0785462
resort	0.0782151
fuselage	0.0781926
cafe	0.0780402
"parking lot"	0.0777837
"row house"	0.0777218
"dressing room"	0.077676
hangar	0.077651
toilet	0.0776096
duplex	0.0773223
compound	0.0772738
tank	0.0769468
campsites	0.0765862
auditorium	0.0763271
shelter	0.0762362
seat	0.0757722
elevator	0.0757542
stall	0.0757468
hall	0.0754608
dorm	0.0752935
chalet	0.0752891
gym	0.0752601
Castle	0.0751615
"office building"	0.0751391
park	0.0750247
courtyard	0.0738024
village	0.0735995
storefront	0.0733021
studio	0.0732737
gymnasium	0.0728358
clubhouse	0.0727996
library	0.0727641
garden	0.0725448
hallway	0.0720193
interior	0.071961
"vacation home"	0.0717546
accommodation	0.0716024
Monastery	0.0708967
office	0.0708901
deck	0.0707123
sanctuary	0.0706067
farm	0.0703858
camp	0.070098
ballroom	0.070084
"ranch house"	0.0700418
galley	0.0698653
bus	0.0697941
closet	0.0697608
wreckage	0.06968
parlor	0.0689531
store	0.0687506
"beach house"	0.0684518
lobby	0.0682733
boat	0.0681993
trunk	0.0679923
seating	0.0675487
palace	0.0672511
bar	0.0671511
restroom	0.0671338
townhouse	0.0665521
cage	0.0662247
vehicle	0.0659479
flat	0.0657392
barrack	0.065735
locker	0.0655959
space	0.0655786
shanty	0.0651832
bunker	0.0650759
church	0.064992
mosque	0.0649231
lodging	0.0644513
"locker room"	0.0644462
"dorm room"	0.0643351
"town house"	0.0642236
"family room"	0.0640852
"bomb shelter"	0.0638906
gallery	0.0638468
Tower	0.0635639
factory	0.0634926
terminal	0.0633377
box	0.0632764
theater	0.0632352
engine	0.0630751
tub	0.0628411
container	0.0626665
synagogue	0.0625835
chamber	0.0624738
complex	0.0624121
chair	0.0623954
stadium	0.0621633
cemetery	0.061983
showroom	0.0618215
cellar	0.0617063
SPA	0.0617058
campgrounds	0.0616806
loft	0.0616719
pub	0.0616319
outhouse	0.0615209
town	0.0612504
camper	0.0611889
pool	0.0611608
airplane	0.0606285
"motel room"	0.0605935
section	0.060371
facility	0.0602858
"movie theater"	0.0602615
tavern	0.0602389
"dining area"	0.059998
"waiting room"	0.0599019
dock	0.0598749
structure	0.0597779
campsite	0.0595729
truck	0.0595271
estate	0.0595233
"gas station"	0.0593932
limousine	0.059123
Bin	0.0590015
museum	0.0589262
cafeteria	0.0588484
Dome	0.0585959
retreat	0.0585938
plane	0.0585221
courthouse	0.0582886
RV	0.0582538
"sitting room"	0.0582316
refrigerator	0.0582156
clinic	0.0581081
shantytown	0.0580426
lake	0.0579757
"swimming pool"	0.0579065
enclosure	0.0577939
tenement	0.0577752
"back room"	0.0577712
wagon	0.0577657
hospital	0.057751
valley	0.0576213
tree	0.0574344
porch	0.0572253
patio	0.0571049
carriage	0.0570253
courtroom	0.057021
neighborhood	0.0569852
"pickup truck"	0.0569759
orphanage	0.0567969
))
("cabin cruiser" (desc 910.031) (sims
powerboat	0.160538
skiff	0.145917
motorboat	0.131911
rowboat	0.120871
catamaran	0.100663
outrigger	0.0944987
speedboat	0.0913408
houseboat	0.0904144
sailboat	0.0881165
biplane	0.084186
sloop	0.0837554
riverboats	0.082683
lifeboat	0.0812417
"sailing vessel"	0.0810057
Fila	0.0748606
"water tower"	0.0745257
"sailing ship"	0.0740875
schooner	0.0733344
zeppelin	0.0728644
"chip shot"	0.0726629
blimp	0.0725238
Crescent	0.072483
dinghy	0.0721548
"hook shot"	0.071497
slapper	0.0714089
freighter	0.0705697
wrister	0.0700011
Cessna	0.0699234
"Cessna @@@"	0.0696277
"Airbus @@@"	0.06955
"merchant ship"	0.069229
"Ferris wheel"	0.0687652
Cruiser	0.068382
barbell	0.0680605
Learjet	0.0679853
"B&AMP;B"	0.067218
mini-van	0.0671989
"bank shot"	0.0671806
"about @@ meters"	0.0660276
"Chevrolet Blazer"	0.0654065
steamboat	0.0642917
spaceship	0.0637437
"express train"	0.0635417
"Ford Explorer"	0.0632176
crematorium	0.0630423
Auger	0.06296
dribbler	0.0627293
buzzer-beater	0.0622479
"cargo ship"	0.0620732
trawler	0.062028
airball	0.0612055
easement	0.0612026
"Lincoln Town Car"	0.0611281
"waiting area"	0.0611011
M-@@	0.0603103
glider	0.0597693
chalet	0.0591203
wingspan	0.0587174
tentacle	0.0585376
vaulter	0.0574024
"blue whale"	0.057385
motorcyclist	0.0568298
skylight	0.0568096
MiG-@@	0.0567511
tarantula	0.0567398
"gambling casino"	0.0564049
"commuter train"	0.0556336
chip-in	0.0556096
crucifix	0.0554826
"dump truck"	0.0554788
pushcart	0.0554541
hummingbird	0.055256
"about @@@ yards"	0.0551849
fireball	0.0549279
Bambi	0.0544598
"Medicare HMO"	0.0535777
stork	0.0533701
four-door	0.0533678
"freight train"	0.0533617
"surgical instrument"	0.0528624
flagpole	0.0528031
snowplow	0.0525578
Limo	0.0524392
serpent	0.0522122
"gray whale"	0.052156
"Lunar Prospector"	0.0520921
nuclei	0.0519716
vagrant	0.0519092
"retail operation"	0.051756
turboprop	0.051632
RV	0.0515978
"white flag"	0.0515194
"slave ship"	0.0514715
"nine miles"	0.0514668
python	0.0513592
"Office @@"	0.051182
Streetcar	0.0510756
U-boat	0.050953
"dairy cow"	0.0503569
oar	0.0503564
"pleasure boat"	0.0503014
"clock tower"	0.0495297
Gator	0.049406
floater	0.0492752
"warning signal"	0.0492461
Atlantis	0.0481577
Orca	0.0480383
"container ship"	0.0479375
headboard	0.0479198
"studio apartment"	0.047406
"tape measure"	0.0473204
"patrol boat"	0.0471186
harpoon	0.0470982
"ice floe"	0.0469414
"space capsule"	0.0468483
free-fall	0.0467584
torchbearer	0.0467039
seawall	0.046535
tux	0.0465179
"cargo container"	0.0465088
motorcyclists	0.0464742
"dairy farm"	0.0464372
soaking	0.0463871
rickshaw	0.0463558
"jet plane"	0.0462443
giraffe	0.0461294
"water jug"	0.0461262
PDA	0.0460088
tugboat	0.0460086
curler	0.0457829
"numbers game"	0.0457807
Bentley	0.0457141
nobleman	0.0453121
"floor plan"	0.0452873
"first cup"	0.0452688
gunboat	0.0452493
"supply ship"	0.0451209
"screen door"	0.0451012
"tractor trailer"	0.0449847
Harrer	0.0448922
"automatic teller machine"	0.0448711
Speer	0.0447911
"piggy bank"	0.0447059
motorbike	0.0445695
"patrol car"	0.0445428
"back office"	0.0444685
two-bedroom	0.0442139
"Mercedes Benz"	0.0441397
Obelisk	0.0435739
boater	0.0434481
Macfarlane	0.0434416
"humpback whale"	0.0432789
Hemlock	0.043268
Schmeichel	0.0432262
"about two miles"	0.0431865
"beach ball"	0.0430195
"Ford Escort"	0.0429779
"radio transmitter"	0.0429237
dowel	0.0428576
"minority shareholder"	0.0427928
daredevil	0.0427797
"good Samaritan"	0.0425347
"Andrea Gail"	0.0424257
"union representative"	0.0422851
"life vest"	0.0421602
pasty	0.0421129
leash	0.0420597
pontoon	0.0420063
bumpkin	0.0419052
"mechanical device"	0.0418865
drawdown	0.0417131
"data file"	0.0416783
"fishing net"	0.0416533
"eight miles"	0.0413839
"three units"	0.0412572
spinnaker	0.0412516
drumstick	0.0412434
periscope	0.0412366
Mini-bus	0.0412322
"black person"	0.0409211
steamer	0.0408181
"hundred yards"	0.0408127
sawmill	0.0407417
"piece of cloth"	0.0407352
stevedore	0.0407346
decanter	0.0407017
forklift	0.0406911
Hammerhead	0.0405
sparkler	0.0404432
interceptor	0.040291
chalice	0.0400435
laggard	0.0400315
))
(Cabinda (desc 1748.13) (sims
Nagorno-Karabakh	0.198242
Kaliningrad	0.186674
Jezzine	0.158879
"Chiang Rai"	0.125665
Herat	0.125118
Bamiyan	0.124587
Antalya	0.116213
Tete	0.115956
Vojvodina	0.111291
Kurdistan	0.110444
Abkhazia	0.10634
Tunceli	0.0995078
"CHIANG MAI"	0.0993811
Aceh	0.0984047
Tigray	0.0977887
Cotabato	0.095263
Phuket	0.0952344
Caprivi	0.0951894
Isfahan	0.0949194
"North Maluku"	0.094013
Posoltega	0.0919894
Hakkari	0.0919046
Cebu	0.0894779
Palawan	0.0879208
Benguela	0.0874752
Bingol	0.0874077
Srebrenica	0.0872326
Katanga	0.0857721
"Eastern Slavonia"	0.0853848
Bushehr	0.0843825
Mitrovica	0.0821946
Sulu	0.0815842
Baoding	0.0810933
Pampanga	0.0809428
Sofala	0.0809364
Abkhazian	0.0801573
BIE	0.079826
"Kosovska Mitrovica"	0.0790465
Diyarbakir	0.078949
Basra	0.0788922
Quebec	0.0783887
Kwazulu-Natal	0.0775423
Sirnak	0.077409
"Malaysian capital"	0.0773775
"Siem Reap"	0.0773702
Blace	0.0773552
Najaf	0.0771457
Rafah	0.0769115
"East Nusa Tenggara"	0.0763962
"Surat Thani"	0.0749654
Punjab	0.0748084
Antioquia	0.0746127
Huambo	0.074359
KwaZulu/Natal	0.0742897
Izmir	0.0742434
Norte	0.0729911
Riau	0.0724782
Bengkulu	0.0724162
Mashhad	0.0724067
Badme	0.0722692
Maguindanao	0.0722363
Shanxi	0.0717413
Sindh	0.0715314
Gauteng	0.0714589
Cochabamba	0.0711987
Khost	0.070955
Gansu	0.0705687
Kabwe	0.0699887
Nyanza	0.0695666
Cordoba	0.0692796
Anjouan	0.069171
Cartagena	0.0690154
Jilin	0.0688294
Heilongjiang	0.0686973
Mpumalanga	0.068618
Hainan	0.0684591
Pailin	0.0683177
Bursa	0.0681681
Balochistan	0.0672233
"New York Republicans"	0.066942
Putumayo	0.0668152
Wuxi	0.0666569
Anhui	0.0665517
Gulu	0.0664733
"Irian Jaya"	0.0663573
Shiraz	0.0658143
Hunan	0.0655816
Basilan	0.0655419
"Mount Lebanon"	0.0654009
Shaanxi	0.0650557
Kitwe	0.0649193
Limon	0.064588
"West Java"	0.0644394
Krasnoyarsk	0.0638662
Zamboanga	0.0636904
Adana	0.0635906
Yogyakarta	0.0633171
Taloqan	0.0632309
Jiangxi	0.0627098
Zhejiang	0.0625359
Batticaloa	0.062211
Lhokseumawe	0.0619449
Subic	0.0619346
Langkawi	0.0614528
Qinghai	0.0614089
Atambua	0.0612648
Vavuniya	0.0610437
Guantanamo	0.0609718
Maluku	0.0609168
Warri	0.0606878
Charlestown	0.0605438
Charikar	0.0605292
Bailundo	0.060268
Bataan	0.0602375
Drumcree	0.0598356
Mullaitivu	0.0597721
Samara	0.0596028
Nago	0.0592524
Guizhou	0.05913
Mosul	0.0587944
Meta	0.0587491
Baalbek	0.0587169
"East Kalimantan"	0.058518
Nablus	0.0579605
Kurdish	0.0573141
Batam	0.0572964
Alberta	0.0571986
Darien	0.0569133
Davao	0.0566522
"San Pedro Sula"	0.0565015
Murmansk	0.0553521
"Garvaghy Road"	0.0549974
"Caspian Sea"	0.0545238
el-Sheikh	0.0544913
Kaduna	0.0543
Manitoba	0.053714
"Banja Luka"	0.0530716
Hebei	0.0529931
Ramallah	0.0527144
Caspian	0.0518815
"Western Cape"	0.0514513
INDIA-PAKISTAN	0.0514107
Guadalajara	0.0512588
Vilnius	0.0510639
"East Java"	0.0509697
Rabat	0.0508062
Zeroual	0.0507657
Telluride	0.0505522
Jaffna	0.0505493
Moshi	0.0503798
Copperbelt	0.0501439
Sur	0.0501416
Ambon	0.0501102
Yichang	0.0500426
Kalimantan	0.0499811
Hubei	0.0495569
Ipoh	0.0495323
Bali	0.0495015
"North Caucasus"	0.0494369
Newfoundland	0.0492548
Breton	0.0491798
CHANGCHUN	0.0489958
Hannover	0.0489831
"Niger Delta"	0.048899
Hasidic	0.0488002
"Big Sur"	0.0486338
Ballymoney	0.0486336
"Indian Ocean"	0.0483194
Weifang	0.0483176
Zhangjiakou	0.0482965
Santander	0.0481791
"North China"	0.048098
Saskatchewan	0.048019
Medan	0.0480168
Bulawayo	0.0479475
Okinawa	0.047933
"Jilin Province"	0.0479172
Vientiane	0.0475939
"Serbian Republic"	0.0475893
Luzon	0.0474366
Kosovar	0.0469205
"Baltic Sea"	0.0464008
Beidaihe	0.0463057
Mazar-e-Sharif	0.0462553
Chiba	0.0461197
Kandy	0.0460813
Irbil	0.0458921
Sakhalin	0.045736
Orahovac	0.0457278
"South China Sea"	0.0455817
Ndola	0.045309
"Novi Sad"	0.0450804
Talipao	0.0450314
Tuzla	0.0449713
Nakuru	0.0449366
Shepherdstown	0.0448531
Adriatic	0.0445638
Taba	0.0445002
Lucerne	0.0444895
Surin	0.0444246
))
(cabinet (desc 95350.4) (sims
government	0.191389
parliament	0.179951
Council	0.169188
Coalition	0.145757
legislature	0.145028
Assembly	0.136651
committee	0.136549
"National Assembly"	0.134848
commission	0.131327
minister	0.131197
administration	0.129749
"Security Council"	0.128481
Knesset	0.128226
"finance minister"	0.125836
"cabinet minister"	0.124212
"board of directors"	0.12285
Duma	0.121726
panel	0.121666
ministry	0.120657
Senate	0.120008
Congress	0.119921
board	0.119458
"foreign minister"	0.117216
"House of Representatives"	0.114829
"State Duma"	0.113992
party	0.111614
"U.N. Security Council"	0.110627
"Israeli Cabinet"	0.10991
"city council"	0.106359
"general assembly"	0.103164
"United Nations Security Council"	0.102453
Majlis	0.101916
President	0.101707
delegation	0.101467
leadership	0.101461
"Council of Ministers"	0.101053
"Supreme Court"	0.101
"European Parliament"	0.0979198
"executive council"	0.0961911
"State Council"	0.0960301
Premier	0.0950065
"central bank"	0.0949965
"European Commission"	0.0937392
"legislative council"	0.093465
leader	0.0933807
court	0.0932393
"task force"	0.0929582
chamber	0.092682
"political party"	0.0920592
office	0.091329
Barak	0.0912093
authority	0.0907366
IOC	0.090696
"Benjamin Netanyahu"	0.0898089
"state legislature"	0.089667
"Yevgeny Primakov"	0.0885688
military	0.088361
post	0.0878045
Chernomyrdin	0.0874202
"Liberal Democratic Party"	0.0873549
"armed forces"	0.0870469
"working group"	0.0863154
deputy	0.0859638
Alliance	0.0855835
army	0.0850031
secretary	0.0849981
"Finance Ministry"	0.0849626
"Foreign Ministry"	0.0847431
department	0.0843775
"standing committee"	0.0843544
official	0.0843379
Speaker	0.0843076
"Ryutaro Hashimoto"	0.0841442
lawmaker	0.0840555
house	0.0838775
body	0.0834599
Judiciary	0.0831337
"board of trustees"	0.083074
"Ehud Barak"	0.0829123
Ambassador	0.0828015
"Kofi Annan"	0.0826426
"chief of staff"	0.0825441
Netanyahu	0.0825436
"Arab League"	0.0825359
Yeltsin	0.0824206
"Lower House"	0.0821407
"United Nations"	0.0820883
"head of state"	0.0816659
Chancellor	0.0814
presidency	0.0812197
"local government"	0.0812177
federation	0.0809229
"school board"	0.0809039
legislator	0.08075
"UN Security Council"	0.0806059
plc	0.0803893
"National Security Council"	0.0798314
Primakov	0.0796399
U.N.	0.0791224
NPC	0.0789146
"Viktor Chernomyrdin"	0.0787449
"federal government"	0.0786763
"International Olympic Committee"	0.0784596
Governor	0.0784263
General	0.0782325
meeting	0.0778203
IMF	0.0774498
"NPC Standing Committee"	0.0773466
election	0.0773313
agency	0.0771367
"Prime Minister"	0.0770786
"Sergei Kiriyenko"	0.0766812
"Labor Party"	0.0764279
chief	0.0763497
EU	0.0763127
regulator	0.0763099
"European Union"	0.0759057
"board of education"	0.0758528
"Keizo Obuchi"	0.0758127
"police force"	0.0757998
envoy	0.0754389
"Justice Ministry"	0.075388
"Food and Drug Administration"	0.0753605
member	0.0748347
negotiator	0.0747782
"Federation Council"	0.0746762
"Federal Communications Commission"	0.0743903
Arafat	0.0743336
"secretary of state"	0.074315
FDA	0.0742109
"election commission"	0.0741171
constitution	0.0740585
"Interior Ministry"	0.0739162
"Chuan Leekpai"	0.0738324
"Nawaz Sharif"	0.0737157
organization	0.0737043
reshuffle	0.0733046
bloc	0.0731331
staff	0.0730876
"William Cohen"	0.0730037
subcommittee	0.0725625
NATO	0.0723757
"inner circle"	0.0720459
MPR	0.0719224
"legislative assembly"	0.0717852
commissioner	0.071743
Annan	0.0717084
union	0.0715024
"board of regents"	0.0714838
Secretary-General	0.0714188
Putin	0.0711157
group	0.0710803
plan	0.0709455
FCC	0.0707781
proposal	0.0707622
summit	0.0706929
WTO	0.0706777
"International Monetary Fund"	0.0706125
"Sergei Stepashin"	0.0704573
judge	0.0701026
"steering committee"	0.0701024
"Provisional Legislative Council"	0.0700675
"Binyamin Netanyahu"	0.0700214
police	0.0698294
resignation	0.0697986
"Northern Ireland Assembly"	0.0696489
"Tony Blair"	0.0694229
parliamentarian	0.0693187
"State Department"	0.0691894
delegate	0.0691376
"Judiciary Committee"	0.0691154
faction	0.0690919
aide	0.0688884
FIFA	0.0688588
"deputy foreign minister"	0.0688516
squad	0.0687551
Habibie	0.0686612
"security force"	0.0683988
regime	0.068384
"Association of Southeast Asian Nations"	0.0683681
opposition	0.0682907
"Atal Bihari Vajpayee"	0.0682893
conference	0.0680314
"Justice Department"	0.0674947
Obuchi	0.0674866
OPEC	0.0674295
country	0.0673148
Moi	0.0670394
jury	0.0670372
"Communist Party"	0.0670125
"House Judiciary Committee"	0.0669943
"high court"	0.0669639
"Vladimir Putin"	0.0668568
"council member"	0.0668312
"Democratic Party"	0.0667215
"Preparatory Committee"	0.0666175
"Phan Van Khai"	0.0666162
Kiriyenko	0.0666034
team	0.0665288
"Palestinian National Authority"	0.0665208
))
("cabinet member" (desc 6489.78) (sims
"cabinet minister"	0.139004
"solicitor general"	0.116943
appointee	0.105047
secretary	0.103784
"George Robertson"	0.0896087
treasurer	0.086864
"finance minister"	0.086068
"government minister"	0.0847159
"campaign official"	0.0821887
"Mo Mowlam"	0.0820146
"Michael Portillo"	0.0812323
"secretary of state"	0.076061
legislator	0.0755962
"Peter Mandelson"	0.0751431
Congressman	0.0740585
Councillor	0.0740139
"naval officer"	0.0736872
"chief of staff"	0.0735704
aide	0.0729003
undersecretary	0.072832
"Gary Bauer"	0.0726754
"lieutenant governor"	0.072616
"state senator"	0.0720103
confidant	0.0717577
"governor general"	0.0710583
"Sergei Stepashin"	0.0710526
"Yuri Maslyukov"	0.0703891
parliamentarian	0.0703355
vice-mayor	0.0699925
"Yitzhak Mordechai"	0.0697576
"Robin Cook"	0.0696524
Rodionov	0.0691839
"deputy foreign minister"	0.0691591
"Dan Quayle"	0.0677935
"Rodney Slater"	0.0676924
"military officer"	0.0676889
"black person"	0.0674012
"Lowell Weicker"	0.0672683
"Vo Van Kiet"	0.0671346
"government officials"	0.067073
"William Perry"	0.0669063
"Pandeli Majko"	0.0667403
Nemtsov	0.0666695
"Elizabeth Dole"	0.06635
"Krishna Prasad Bhattarai"	0.0662678
"deputy chairman"	0.0661652
"William Daley"	0.066127
"department head"	0.0660627
"Lamar Alexander"	0.0655492
"Ron Brown"	0.0654171
"Bashkim Fino"	0.0652352
"Dick Cheney"	0.0645675
officeholder	0.0644846
alderman	0.0644838
"Abu Mazen"	0.064418
Councilman	0.0643074
Councilor	0.064287
Postmaster	0.0642486
"William Cohen"	0.0641511
"army officer"	0.0641331
"security adviser"	0.0640138
"Home Secretary"	0.0640018
prefect	0.0639812
"Minister Shlomo Ben-Ami"	0.0638604
"Black Panther"	0.0638531
"drug czar"	0.0634193
assemblyman	0.0633305
"civil rights leader"	0.0632622
"vice chancellor"	0.0631515
"elected official"	0.0630004
"Natan Sharansky"	0.0628738
"minister of finance"	0.0628343
"surgeon general"	0.0627425
"Jack Kemp"	0.0625775
"Bill Richardson"	0.0624197
clergyman	0.0620418
"Salim Saleh"	0.0618729
Wiranto	0.0617925
Erekat	0.0616553
"Bulent Ecevit"	0.0616115
"Saeb Erekat"	0.0615643
"NBA All-Star"	0.0615589
aspirant	0.0611319
surrogate	0.0610761
Olympian	0.0609419
"Secretary of Commerce"	0.0609059
"Sergei Kiriyenko"	0.0608424
"major leaguer"	0.0607859
"Anatoly Chubais"	0.060588
vice-president	0.0604841
claimer	0.0603651
seminarian	0.0603471
cleric	0.06034
congressmen	0.0602348
diplomat	0.0600142
"school superintendent"	0.0597979
"Council of Economic Advisers"	0.0597192
"Jack Straw"	0.0595478
"Victor Chernomyrdin"	0.0594718
"Viktor Chernomyrdin"	0.0593936
Deacon	0.0591651
"chief justice"	0.0589535
Vice-Premier	0.0588466
"Chavalit Yongchaiyudh"	0.0587713
"Orlando Mercado"	0.0587663
confidante	0.05867
"major-league team"	0.0586591
Alatas	0.0585702
"business executive"	0.0585628
"committee member"	0.0585562
"big leaguer"	0.0582836
"Mesut Yilmaz"	0.0582726
"Bruce Babbitt"	0.0582171
"Steve Forbes"	0.0580856
speechwriter	0.0580397
"foreign minister"	0.0579777
vice-governor	0.0579331
"Richard Cheney"	0.0578847
director-general	0.0578166
Comptroller	0.0578145
chairperson	0.0578129
negotiator	0.0576746
advisor	0.0576174
"Alexander Lebed"	0.057599
philanthropist	0.057513
"council member"	0.0574587
officals	0.0573411
"military leader"	0.0572971
policymaker	0.057239
nominee	0.0570783
Kinkel	0.0570115
"Strobe Talbott"	0.0569842
Magistrate	0.0567428
"Mahmoud Abbas"	0.0566536
"prize winner"	0.0566064
"Mikhail Kasyanov"	0.056548
Hoddle	0.0564317
"labor leader"	0.0564008
"district attorney"	0.0562517
"press secretary"	0.0562344
congresswoman	0.0562336
"Pro Bowler"	0.056197
"Faisal Husseini"	0.0560533
"de Charette"	0.0560214
"civil servant"	0.0560088
"Yossi Sarid"	0.0559701
"decision maker"	0.0559337
"Andrew Cuomo"	0.0559314
"Lee Kuan Yew"	0.0558799
Al-Sabah	0.0558763
"postmaster general"	0.0556999
Soares	0.0556547
"Fayez Tarawneh"	0.0556189
"Robert Reich"	0.0555116
attorney-General	0.0554912
Dehaene	0.0554307
"John Bruton"	0.055309
"police chief"	0.0552657
councilwoman	0.0550703
pastor	0.0549214
"church member"	0.0548204
miler	0.054755
"Prime Minister"	0.0546289
Bizimungu	0.0545967
"Jane Hull"	0.0545163
"Mike Leavitt"	0.0544227
"financial officer"	0.0542817
"Boris Nemtsov"	0.0542348
Secretary-General	0.0541628
"political leader"	0.0541601
Ogata	0.0541075
"Henry Cisneros"	0.0539269
"air force officer"	0.05364
Sergeyev	0.0536347
jurist	0.0535659
"first lady"	0.053506
Bhattarai	0.0534804
stewardess	0.05347
"intelligence analyst"	0.0534651
airman	0.0533876
"altar boy"	0.0532859
"Yevgeny Primakov"	0.0532655
"intelligence agent"	0.0532143
"foreign service officer"	0.0531806
"head of state"	0.0531784
"administrative official"	0.0531321
"Jia Qinglin"	0.0529051
"running mate"	0.052878
"lieutenant general"	0.0525771
campaigner	0.0525277
"important person"	0.0525036
"David Levy"	0.0524894
"Ariel Sharon"	0.0524466
"Robert E. Rubin"	0.0524435
"Norodom Ranariddh"	0.0523989
copywriter	0.0522663
"senior executive"	0.0522016
"Phan Van Khai"	0.0521963
Wolfensohn	0.0521539
ex-president	0.0521018
))
("cabinet minister" (desc 31666.2) (sims
minister	0.190851
"finance minister"	0.171742
legislator	0.15695
parliamentarian	0.153655
"government officials"	0.147747
"foreign minister"	0.144308
"military officer"	0.141959
"cabinet member"	0.139004
diplomat	0.136908
MP	0.135048
"army officer"	0.13449
deputy	0.131597
official	0.12838
"business leader"	0.127348
"deputy foreign minister"	0.127296
secretary	0.12724
Ambassador	0.126671
leader	0.126393
cabinet	0.124212
Premier	0.123751
chief	0.122113
businessmen	0.121098
congressmen	0.120268
"head of state"	0.119993
aide	0.119653
"secretary of state"	0.119503
politician	0.118387
member	0.117981
commander	0.11656
lawmaker	0.116154
"political leader"	0.114185
commissioner	0.113966
"military leader"	0.113129
General	0.112257
"council member"	0.11221
vice-president	0.112069
envoy	0.111811
"chief of staff"	0.111324
Governor	0.110383
advisor	0.110057
"business executive"	0.109247
representative	0.108228
dignitary	0.108211
"legal expert"	0.108005
"religious leader"	0.107213
Speaker	0.106828
undersecretary	0.106503
Wiranto	0.106436
"committee member"	0.10598
"Javier Solana"	0.105815
Moi	0.105102
delegate	0.105074
"Phan Van Khai"	0.103888
"Yevgeny Primakov"	0.102632
"Sergei Kiriyenko"	0.102399
"Mesut Yilmaz"	0.102316
delegation	0.101992
"board member"	0.10174
Chancellor	0.101736
activist	0.101366
President	0.100415
negotiator	0.10029
"civil servant"	0.0996328
"Saeb Erekat"	0.099209
"Benazir Bhutto"	0.0991846
adviser	0.0986471
officer	0.097343
Dehaene	0.0972274
"William Cohen"	0.0971028
"Rafik Hariri"	0.0969355
"Nawaz Sharif"	0.0968537
appointee	0.0965292
"Benjamin Netanyahu"	0.0965157
cleric	0.0960767
banker	0.0960673
"vice president"	0.0954405
journalist	0.0952716
"Viktor Chernomyrdin"	0.0950138
Mayor	0.0950126
"Goh Chok Tong"	0.0950114
"Ryutaro Hashimoto"	0.0950107
"government minister"	0.0949594
Sharif	0.0948598
"Inder Kumar Gujral"	0.0945114
"labor leader"	0.0945084
dissident	0.0942338
senator	0.0938547
"Necmettin Erbakan"	0.0938154
"chief justice"	0.093451
"Lionel Jospin"	0.0934183
policemen	0.0929835
al-Shara	0.0923106
chairmen	0.0919456
treasurer	0.0917174
"Wlodzimierz Cimoszewicz"	0.0915907
el-Ganzouri	0.0914621
"Atal Bihari Vajpayee"	0.0907965
Gujral	0.0907003
"public servant"	0.0905311
"Valery Pustovoitenko"	0.0904355
"Meles Zenawi"	0.0904074
"elected official"	0.0901842
"Atal Behari Vajpayee"	0.0895378
"security adviser"	0.0894256
"minister of finance"	0.0893641
"Bulent Ecevit"	0.0893426
"Radu Vasile"	0.0891898
"Chuan Leekpai"	0.0891286
"department head"	0.0889569
chairman	0.0888261
"William Perry"	0.0885076
Secretary-General	0.0884063
"Abdul Karim Kabariti"	0.0882313
"Prime Minister"	0.0879954
expert	0.0875438
administrator	0.0874251
associate	0.0873744
"Sergei Stepashin"	0.0871892
"Yoshiro Mori"	0.0871702
Hariri	0.0871362
Khaddam	0.0869236
Industrialist	0.086841
"Atef Obeid"	0.0867845
clergymen	0.0864833
statesmen	0.0860078
"Chavalit Yongchaiyudh"	0.0854976
Mordechai	0.0854834
bureaucrat	0.0854739
"top executive"	0.0853949
Primakov	0.0853478
judge	0.0851758
trustee	0.0849241
"Costas Simitis"	0.0848801
"Binyamin Netanyahu"	0.084713
government	0.0846933
al-Hariri	0.0846757
"Jean Chretien"	0.0844887
"Vo Van Kiet"	0.0843952
"H.D Deve Gowda"	0.0843528
"political party"	0.0840706
"Ariel Sharon"	0.0839503
"Shimon Peres"	0.0837896
"Romano Prodi"	0.0837068
"policy maker"	0.0836609
"Mahathir Mohamad"	0.0836083
"federal official"	0.0835568
ally	0.0832375
Majali	0.0829511
Habibie	0.0829321
"Ehud Barak"	0.0827109
Councillor	0.0823351
Stepashin	0.0823124
"Mahmoud Abbas"	0.0823052
"police officer"	0.0822199
"crown prince"	0.0821137
"managing director"	0.0820037
"John Howard"	0.0819721
Mandela	0.0818439
"Kofi Annan"	0.0818146
Arafat	0.0815812
executive	0.0813951
Goh	0.0813236
"Ivan Kostov"	0.081321
"Salim Hoss"	0.0813203
"Tony Blair"	0.0812945
Weizman	0.0812397
"staff member"	0.0811858
academician	0.081012
"Secretary General"	0.0808567
"Deve Gowda"	0.0806751
Vajpayee	0.0800177
prosecutor	0.0798497
"Boris Nemtsov"	0.0797216
Abubakar	0.0796544
al-Khatib	0.0795415
Congressman	0.0793874
Councilors	0.0793817
"police chief"	0.0791737
"Bashkim Fino"	0.0791644
Netanyahu	0.0790968
Chernomyrdin	0.0790091
"Prime Minister Kamal El-Ganzouri"	0.078801
Admiral	0.0786016
"economic expert"	0.0785296
"Hun Sen"	0.0785148
Kabariti	0.078286
supporter	0.0781847
"Robert Rubin"	0.078164
scientist	0.0780837
"John Major"	0.0780154
"George Robertson"	0.0779952
"Lawrence Summers"	0.0779877
"vice chairman"	0.0778573
"air force officer"	0.0777889
"Jordanian King Abdullah Bin Hussein"	0.0777556
Komura	0.0776747
"world leader"	0.0776621
bishop	0.077571
Koirala	0.0773596
"Fayez Tarawneh"	0.0773159
))
(cabinetmaker (desc 2308.79) (sims
craftsmen	0.108415
dramatist	0.106538
portraitist	0.0985773
"landscape architect"	0.0978928
sculptor	0.0943556
draftsman	0.0930521
illustrator	0.0915187
nobleman	0.0901056
blacksmith	0.0900107
"ballet dancer"	0.0884408
flutist	0.0861551
"man of letters"	0.0860424
"security consultant"	0.0849261
calligrapher	0.0821229
mathematician	0.0820399
novelist	0.0805483
electrician	0.079098
"art historian"	0.0783187
jeweler	0.076958
violinist	0.0767877
carpenter	0.0765525
choreographer	0.0762058
naturalist	0.0754448
"art collection"	0.0751279
craftsman	0.0737754
plumber	0.0737137
jurist	0.0732901
"police captain"	0.0728536
"character actor"	0.0727633
painter	0.0719115
"sea captain"	0.0715318
roofer	0.0713796
decorator	0.0709965
bullfighter	0.0707069
"chess player"	0.0706547
"stage director"	0.07052
commode	0.0703602
Playwright	0.0701643
"guitar player"	0.069461
satirist	0.0694568
clarinetist	0.0693275
hairdresser	0.0692146
craftspeople	0.0692036
lass	0.0687405
"art school"	0.0684825
courtesan	0.0683872
pianist	0.0680592
"civil rights leader"	0.0680091
"naval officer"	0.0670513
"art dealer"	0.0670071
lexicographer	0.0669952
communicator	0.0667792
"factory worker"	0.0664593
"domed stadium"	0.0664285
"summer house"	0.0658839
bricklayer	0.0656895
conductor	0.0655802
infantryman	0.0652825
"sphere of influence"	0.0650753
stuntman	0.0650296
orator	0.0648304
"school teacher"	0.0646499
humorist	0.0645181
artisan	0.0645117
"test pilot"	0.0641095
"farm worker"	0.0634637
adjuster	0.0634549
cellist	0.0634066
"trial lawyer"	0.0632868
"baseball player"	0.063236
vaulter	0.0631573
philanthropist	0.0631206
statesman	0.0630914
animator	0.0629614
bordello	0.062941
"foreign service officer"	0.0629297
restaurateur	0.0628309
"landscape painting"	0.0627496
Postmaster	0.0626447
"interior decorator"	0.061744
yachtsman	0.0616927
musicologist	0.0616777
songwriter	0.0612984
handyman	0.061271
"baseball coach"	0.0611733
philosopher	0.0608947
"fashion designer"	0.0608598
showman	0.060788
"Francis Bacon"	0.0607243
footballer	0.0606754
newspaperman	0.0606405
"trial attorney"	0.0605696
"opera star"	0.0604392
"public speaker"	0.0602432
outdoorsman	0.0601624
restorer	0.0600808
"newspaper publisher"	0.0597866
"funeral director"	0.0595977
potter	0.0590854
fireman	0.0587595
fencer	0.0586613
prizefighter	0.0585699
forger	0.0585556
"police lieutenant"	0.0584473
preacher	0.0584175
gardener	0.0584159
"newspaper editor"	0.0576781
"art teacher"	0.057587
"shop assistant"	0.0575318
firefighter	0.05739
carver	0.0572279
"traveling salesman"	0.0570691
shipbuilder	0.0570403
"musical group"	0.057
seamstress	0.0568074
butcher	0.0567841
"jazz musician"	0.0564967
"pass catcher"	0.0564057
"country house"	0.0562772
agronomist	0.0562066
astrologer	0.0561894
"electrical engineer"	0.0561112
"civil engineer"	0.0560857
masseur	0.0557517
storyteller	0.0557467
sportswriter	0.0557374
"hockey player"	0.0555095
triathlete	0.0552535
ballerina	0.0552358
"two pitchers"	0.0550959
"enlisted man"	0.0550358
essayist	0.0549934
ex-convict	0.054725
"eye doctor"	0.0547004
educator	0.054677
"opera house"	0.0545773
adventurer	0.0545546
"ballet company"	0.0544997
clergyman	0.0543634
debater	0.0543315
woodworker	0.0543117
raconteur	0.0542293
"home builder"	0.0540141
"ticket agent"	0.0536348
pickpocket	0.0536327
salesperson	0.0535876
"folk singer"	0.053542
shopkeeper	0.0535322
missionary	0.0534208
grocer	0.053249
troubadour	0.05308
manipulator	0.052917
radiologist	0.0528214
snowboarder	0.052746
proverb	0.0525573
cinematographer	0.0523714
marathoner	0.0523061
machinist	0.0522851
"leading lady"	0.0522331
"Georgia O'Keeffe"	0.0522127
"school principal"	0.0521399
"real estate broker"	0.0520631
botanist	0.0519501
"music school"	0.0519483
prelate	0.051568
aristocracy	0.0515337
instrumentalist	0.0514551
Industrialist	0.0512142
emigre	0.0511621
Litigator	0.0509515
inventor	0.0509488
"Print Shop"	0.0508784
"truck driver"	0.050866
crematorium	0.0507418
postman	0.0506874
"basketball coach"	0.0506864
Jesuit	0.0506598
watchman	0.0506408
stylist	0.0505892
foremen	0.0504565
equestrian	0.0504458
"adventure story"	0.0503108
installer	0.0503067
moviemakers	0.0502401
typist	0.050017
"race horse"	0.0500046
sommelier	0.0496242
"stock trader"	0.0495994
puppeteer	0.0495903
"volleyball player"	0.049568
"robbery suspect"	0.0495166
guitarist	0.0494728
animators	0.0494432
"major leaguer"	0.049388
cartoonist	0.0491598
dentist	0.0491542
schoolteacher	0.0490914
mezzo-soprano	0.0489918
fisherman	0.0489904
arranger	0.0489298
))
(cable (desc 93003.9) (sims
"cable television"	0.183975
network	0.161679
modem	0.154838
wire	0.15476
"cable network"	0.137224
TV	0.134294
"cable system"	0.131404
"phone line"	0.12974
"telephone line"	0.128299
channel	0.125661
television	0.122636
"transmission line"	0.119662
Internet	0.118137
Computer	0.11504
Satellite	0.111533
"power line"	0.107975
wireless	0.107572
pipeline	0.10684
broadband	0.106601
DSL	0.105994
"fiber optic cable"	0.105872
phone	0.10563
"optical fiber"	0.105244
telephone	0.104444
equipment	0.103712
"phone service"	0.101748
"telephone service"	0.101689
telecommunication	0.101432
pipe	0.100145
system	0.100112
railway	0.0996974
"personal computer"	0.0988958
device	0.0985118
software	0.0975684
PC	0.0963266
"trunk line"	0.0956637
station	0.0946285
connector	0.0938418
"telephone network"	0.0930184
wiring	0.0919397
radio	0.0918741
line	0.0910871
transmission	0.0898306
provider	0.0894902
"cable operator"	0.0892566
service	0.0885321
communication	0.0875197
"computer network"	0.0874745
expressway	0.0873856
cord	0.0872861
networking	0.0863159
technology	0.08618
"cellular phone"	0.0850613
"railway line"	0.0850097
web	0.0845007
connection	0.0835105
rope	0.0831234
VCR	0.0830982
"fiber optics"	0.0821644
tube	0.0818733
printer	0.0816154
monitor	0.0812511
server	0.0810012
transformer	0.0808958
appliance	0.0808931
hardware	0.0808475
electricity	0.0805028
rail	0.0804087
highway	0.0803797
antenna	0.0800883
access	0.0792697
generator	0.0789073
NBC	0.0788426
machine	0.0787272
camera	0.0779123
"tv set"	0.077583
scanner	0.0774817
sensor	0.0774598
CBs	0.0773674
HBO	0.0766897
peripheral	0.076302
video	0.0762749
"television set"	0.0760303
"communications service"	0.0755439
outlet	0.0749718
switchboard	0.0748482
"TV network"	0.0744688
switch	0.0743955
"phone company"	0.0742582
chip	0.0742344
"power grid"	0.0739309
PBS	0.073845
component	0.0737157
"rail line"	0.0735699
product	0.073334
broadcasting	0.0732498
company	0.073105
ABC	0.0728724
adapter	0.0725064
programming	0.0719584
"fax machine"	0.0717468
battery	0.0717414
"communications network"	0.0715961
"cellular telephone"	0.0712891
long-distance	0.0709902
CNN	0.0701442
"communications equipment"	0.069749
ESPN	0.0694014
Telecom	0.0693817
semiconductor	0.068937
infrastructure	0.0689075
router	0.0685714
grid	0.0685167
transmitter	0.0684368
DirecTV	0.0682306
terminal	0.0681617
electronics	0.0680313
broadcast	0.0679607
railroad	0.06772
tunnel	0.0676621
Tower	0.067103
"television network"	0.0668649
MTV	0.0666265
"oil pipeline"	0.0665947
card	0.0664023
facility	0.0663667
pager	0.0661765
laptop	0.0661512
"telephone company"	0.0661453
carrier	0.0660972
chain	0.066027
screen	0.0656954
radar	0.0654095
gear	0.0653865
automobile	0.0653204
"computer hardware"	0.065167
audio	0.0651041
data	0.0649347
GSM	0.0648287
site	0.0646222
fiber	0.064614
Showtime	0.0644911
business	0.0642698
road	0.0641475
"telephone system"	0.0639239
engine	0.063909
multimedia	0.0637345
banking	0.0635377
Entertainment	0.0635216
AOL	0.0635043
hookup	0.0631662
stereo	0.0630453
bridge	0.0629421
"operating system"	0.0628954
utility	0.0627768
"power plant"	0.0627381
pagers	0.0627367
"memory chip"	0.062695
Mediaone	0.0626701
gondola	0.0625828
fax	0.0624163
telephony	0.0623885
tape	0.0622196
Fox	0.0622117
hose	0.0620075
email	0.0618975
browser	0.0618649
"TV station"	0.0618474
CNBC	0.061738
route	0.0616695
"consumer electronics"	0.0613292
C-Span	0.0612911
market	0.0612355
processor	0.0610631
"Time Warner"	0.0610616
unit	0.0608022
port	0.0607883
"laptop computer"	0.0607647
industry	0.0606295
machinery	0.0604222
link	0.0603685
"television station"	0.0602938
Canal	0.0601633
"America Online"	0.0600905
publishing	0.0600258
recorder	0.0599929
analog	0.0599717
box	0.0599076
rod	0.0599009
vehicle	0.0596973
pump	0.0596091
CD-ROM	0.0594302
microphone	0.0593996
"real estate"	0.0593649
Portal	0.0593619
subscriber	0.059246
airline	0.0592165
aircraft	0.0590607
net	0.0589493
"disk drive"	0.0589404
))
("Cable &AMP; Wireless" (desc 1867.16) (sims
"Vodafone AirTouch"	0.210881
Totalfina	0.192207
Vodafone	0.163367
BSKyB	0.155416
"France Telecom"	0.143358
NTL	0.142714
"British Telecom"	0.141027
"Orange PLC"	0.138075
SAirGroup	0.135834
"Total Fina"	0.135018
Marconi	0.133639
WorldCom	0.133492
CMG	0.133207
Litton	0.125308
"National Grid"	0.124178
"Phelps Dodge"	0.124124
"Vodafone Airtouch PLC"	0.123974
"Deutsche Telekom"	0.12344
"Banque Nationale"	0.123238
KPN	0.12073
"Hearst Corp."	0.119402
NTT	0.11847
Mannesmann	0.118458
Comcast	0.118052
Telefonica	0.116499
"Bell Atlantic"	0.116437
"USA Networks"	0.116272
"BP Amoco"	0.114836
"HSBC Holdings"	0.114829
Icahn	0.114817
"MCI WorldCom"	0.114541
Olivetti	0.113972
Qwest	0.113064
Vivendi	0.11155
Alcatel	0.111473
Nextel	0.109408
"Times Mirror"	0.106289
SBC	0.106159
"Global Crossing"	0.105016
MCI	0.104013
Telkom	0.103619
Pfizer	0.103103
ENTERGY	0.102258
"Bank of Scotland"	0.101789
"U S West"	0.100432
Aegon	0.100396
BellSouth	0.0974265
"New York Civil Liberties Union"	0.0965299
"Telecom Italia"	0.095119
Telstra	0.0948581
"Mannesmann AG"	0.0948314
ACB	0.0944605
Cablevision	0.0944291
REPSOL	0.0938589
TCI	0.0938011
Pearson	0.093453
"Halliburton Co."	0.0934195
Unilever	0.093355
"Cox Communications"	0.0933392
Comsat	0.0933138
GTE	0.0930745
Diageo	0.0929932
"Royal Bank"	0.0929644
ABB	0.0921771
LVMH	0.0920775
Schlumberger	0.09197
"GTE Corp."	0.0912808
Medtronic	0.0912086
Genzyme	0.0910123
"Hutchison Whampoa"	0.0908872
"Nippon Telegraph"	0.0905285
"Canal Plus"	0.0902481
Siemens	0.0901657
"Y&AMP;R"	0.0899794
DoubleClick	0.0889189
AMR	0.0886616
Bertelsmann	0.0886266
"European Bank for Reconstruction"	0.0885914
"Allied Signal"	0.088369
WPP	0.0882817
NatWest	0.0879652
"Tribune Co."	0.0879584
"SmithKline Beecham"	0.0873802
Bestfoods	0.0872779
HSBC	0.0872021
"Chronicle Publishing"	0.0870023
AXA	0.0868613
AstraZeneca	0.0863964
Vulcan	0.0860718
"Sara Lee"	0.0854331
"Hongkong Telecom"	0.084907
NetZero	0.084317
Viacom	0.0839564
CMGI	0.0839093
"SBC Communications Inc."	0.0836445
IDT	0.0836394
UAL	0.083366
F.A	0.0832962
Daimler-Benz	0.0832341
Amgen	0.082698
"Comcast Corp."	0.0826016
McCaw	0.0817856
Gazprom	0.0815148
UAM	0.0814237
Deutsche	0.0807949
VoiceStream	0.0807465
McKesson	0.0802884
Chiron	0.0802317
Nortel	0.0800812
Telmex	0.0798769
"MCI Communications Corp."	0.0794384
Autodesk	0.0793537
Seagram	0.0789589
"Wireless Optus"	0.0789013
"Sprint Corp."	0.0788971
Qualcomm	0.0782796
Milstein	0.0782117
AlliedSignal	0.0782074
"Singapore Telecom"	0.0779782
GANNETT	0.0777766
EMC	0.0775543
"Deutsche Bank"	0.0773054
TYCO	0.0770983
VENATOR	0.0768631
GoTo.com	0.0767309
"News Corp."	0.0765468
Halliburton	0.0765436
XYLAN	0.0761962
EarthLink	0.0761462
"Nature Conservancy"	0.0760615
Ericsson	0.0756538
Broadcom	0.0755016
"Global Crossing Ltd."	0.0745641
"WorldCom Inc."	0.074485
CNET	0.0744289
"Siemens AG"	0.0744257
Telebras	0.0743033
"Berkshire Hathaway"	0.0741448
Lockheed	0.0733883
"Hong Kong Telecom"	0.0732462
"Pacific Century"	0.0729303
"RJR Nabisco"	0.0729001
"General Electric Co."	0.0725327
Monsanto	0.0723978
"Gap Inc."	0.0721591
"Rio Tinto"	0.0721477
"ELF AQUITAINE"	0.0716695
Federated	0.0715349
MarketWatch.com	0.0713996
SmithKline	0.0713348
BankAmerica	0.0713347
"Nortel Networks Corp."	0.0713195
Novartis	0.0710878
GEC	0.0707895
Healtheon/WebMD	0.0707154
"Livent Inc."	0.0707068
Caritas	0.0706034
Eni	0.0704814
Exxon	0.0704079
"American International Group"	0.0702496
VW	0.0699859
Cendant	0.0698708
"Raytheon Co."	0.0698387
"Nortel Networks"	0.0697948
Mabetex	0.0696989
"Cadbury Schweppes"	0.0696642
Genentech	0.069664
Barclays	0.0694525
Cooke	0.0693692
iss	0.0687778
RCN	0.0687595
Echostar	0.0687408
Intuit	0.0685595
"Southern Co."	0.0684894
NiSource	0.068367
"Sydney Organizing Committee"	0.0683426
Publicis	0.0683139
Texaco	0.0681853
Norwest	0.0679948
Volkswagen	0.0678177
Arnault	0.0677411
"Tele-Communications Inc."	0.0676721
Citigroup	0.0675446
Incyte	0.067403
RealNetworks	0.0672082
Hindery	0.0670933
Alcoa	0.0670753
Hasbro	0.0669146
TRW	0.0667995
Lycos	0.0660269
BHP	0.0660246
Italia	0.0659885
"Qualcomm Inc."	0.0658613
Nokia	0.0657767
Albertson's	0.0657737
PEOPLESOFT	0.0657551
Pacifica	0.065688
Petrofina	0.0656246
"drug maker"	0.0655314
"Air Canada"	0.0655306
))
("cable car" (desc 4546.25) (sims
gondola	0.17515
Tram	0.169255
"ski lift"	0.147179
trolley	0.126343
Streetcar	0.119921
"shuttle bus"	0.119761
escalator	0.110652
Learjet	0.0964245
chairlift	0.09619
monorail	0.0941326
"school bus"	0.0933745
jeepney	0.0904129
ferry	0.0883325
Mini-bus	0.0861346
Stagecoach	0.0830047
"freight train"	0.0820724
Limo	0.0817069
subway	0.0791609
"commuter train"	0.0780562
tricycle	0.0755444
superhighway	0.0750494
Marta	0.0747049
footpath	0.0742229
rail	0.0741782
limousine	0.0741081
elevator	0.0737807
SDH	0.0729936
"pleasure boat"	0.0726052
Hindenburg	0.0718689
"roller coaster"	0.071343
snowmobile	0.0712633
forklift	0.0703991
watercraft	0.0697258
scooter	0.0696628
Harley-Davidson	0.0691238
bike	0.0690057
"Ferris wheel"	0.0685587
merry-go-round	0.0683738
Concorde	0.0681968
"TWA Flight @@@"	0.0680472
"amusement park"	0.0676696
Motorcycle	0.0673995
"subway train"	0.0662277
USAir	0.065795
bobsled	0.0654398
sled	0.0654018
"express train"	0.0650765
"EgyptAir Flight @@@"	0.0650572
glider	0.065033
seawall	0.0648335
bicycle	0.0647563
chopper	0.0647069
"passenger train"	0.0646842
"Exxon Valdez"	0.0646035
"fiber optic cable"	0.0641089
biplane	0.0640865
sleigh	0.0636173
catamaran	0.0633075
"golf cart"	0.0632114
"radio telescope"	0.0630726
videophone	0.063054
"oil pipeline"	0.0629615
minibus	0.0626617
barge	0.062641
taxi	0.0624828
"hot-air balloon"	0.0621884
hovercraft	0.0620327
DC-@	0.0619642
Amtrak	0.0614891
jeep	0.0607118
"coaxial cable"	0.0602735
"Kenya Airways"	0.0601949
motorbike	0.0596613
promenade	0.0596076
skateboard	0.0593145
uphill	0.0589496
"suspension bridge"	0.0588799
"lawn mower"	0.0588202
"Air France Concorde"	0.0587614
rickshaw	0.0585237
Greyhound	0.0582139
wharf	0.0580671
EgyptAir	0.0580046
osprey	0.0579895
airship	0.0576342
sailboat	0.0575015
"city bus"	0.0571487
"communications satellite"	0.0570584
"shopping mall"	0.0570158
Ducati	0.0569348
Pony	0.0567843
tether	0.0566943
"conveyor belt"	0.0566623
"Flight @@@"	0.0562154
"traffic signal"	0.0560285
"highway system"	0.0558558
moped	0.0555568
mower	0.0554674
taxicab	0.0554633
"garbage disposal"	0.0554201
soapbox	0.0548275
"Korean Air"	0.0546407
"mass transit"	0.0545583
"railway car"	0.0545562
"optical fiber"	0.0543734
"telephone network"	0.0541179
"motor vehicle"	0.0539895
"wireless telephone"	0.0537597
"fire truck"	0.0532822
simulator	0.0532081
"Straits Times Index"	0.0527458
snowplow	0.0527185
ValuJet	0.0525308
Buggy	0.0525204
treadmill	0.0524827
coaster	0.0523356
"single file"	0.0523253
mini-van	0.0522202
convoy	0.051993
Valdez	0.0519629
snowboard	0.0519262
"cruise ship"	0.0517807
hearse	0.0517371
"Swissair Flight @@@"	0.0515495
jetliner	0.051273
ISDN	0.0512119
"freight car"	0.0511944
Ambulance	0.0511264
Bart	0.0509394
tanker	0.0508875
"American plane"	0.0508467
cymbal	0.0508118
Muni	0.0507728
"pedestrian bridge"	0.0506186
jetty	0.0505244
ferryboat	0.0504733
semitrailer	0.0504675
similiar	0.0504098
"central heating"	0.0504037
viaduct	0.0504014
motorway	0.050384
streetlight	0.0501455
carriage	0.0500948
conveyor	0.0500422
"golf course"	0.0499684
canoe	0.0498525
ReplayTV	0.0498127
"information superhighway"	0.0497317
"tractor trailer"	0.0496481
"public transport"	0.0494302
ADSL	0.0490601
"oil tanker"	0.0490459
railroad	0.0489841
"passenger car"	0.0488896
telemedicine	0.0488061
"Straight Talk Express"	0.0487407
steamboat	0.0485834
carousel	0.0484582
"mountain bike"	0.0483074
powerboat	0.0480266
Kursk	0.0479298
"football stadium"	0.0477435
RV	0.0477019
"booster rocket"	0.0475295
whaler	0.0475148
tractor	0.0474701
"storage tank"	0.0473147
"transmission line"	0.0472027
"access road"	0.047183
flyover	0.0471183
Marina	0.0470924
sarcophagus	0.0470778
mule	0.0469748
wagon	0.0467939
"Charlie Garner"	0.0467734
aquarium	0.0467416
bulldozer	0.0467401
thermal	0.0467062
"Running Stag"	0.0466768
speedboat	0.0464544
superspeedway	0.0464456
pontoon	0.0464382
"convenience food"	0.0464011
"drainage system"	0.0463644
horseback	0.0463635
"domed stadium"	0.0463322
"power line"	0.0463276
freeway	0.0463125
rowboat	0.0462591
bonfire	0.0460287
"drilling rig"	0.0460092
Acela	0.045962
polygraph	0.0459574
"military vehicle"	0.0459269
sewer	0.0458944
"theme park"	0.0458399
"ball field"	0.0456893
"sewer system"	0.045641
DSL	0.0455457
"public transit"	0.0454843
))
("cable network" (desc 22729.6) (sims
channel	0.187748
network	0.158737
"television network"	0.155251
"TV network"	0.144157
cable	0.137224
"cable television"	0.126368
CNBC	0.12423
ESPN	0.123463
HBO	0.121637
"cable system"	0.121212
CNN	0.120362
MTV	0.117731
ABC	0.116851
"Court TV"	0.111914
"TV station"	0.111821
CBs	0.110888
NBC	0.108807
ESPN@	0.108729
Nickelodeon	0.108658
MSNBC	0.108319
PBS	0.107138
VH@	0.105569
"Fox Sports Net"	0.105059
TNT	0.104004
Showtime	0.103698
C-Span	0.103251
"television station"	0.102246
station	0.101829
"radio station"	0.0982348
"USA Network"	0.0934308
"Cartoon Network"	0.093058
"Disney Channel"	0.0881609
"Fox News Channel"	0.0877783
outlet	0.0872888
TNN	0.0871499
"Comedy Central"	0.0868903
Fox	0.0866889
television	0.0843025
"news program"	0.079897
"Turner Classic Movies"	0.0793008
"Pax TV"	0.0789854
UPN	0.0788008
WB	0.0786524
affiliate	0.0781084
programming	0.0778925
broadcaster	0.0757554
"Food Network"	0.0750707
"Fox Network"	0.0749446
"television show"	0.0748748
"Nashville Network"	0.0744569
TV	0.0742062
"Channel @@"	0.0736447
"Discovery Channel"	0.0721964
BBC	0.0712995
"cable operator"	0.0710673
"National Public Radio"	0.0691392
"talk show"	0.0689619
"Weather Channel"	0.068498
newscast	0.0684653
magazine	0.0671699
"Channel @"	0.067082
"communications network"	0.0667667
pay-per-view	0.0667604
"news show"	0.0667526
broadcast	0.0665612
Tb	0.0664596
radio	0.0660964
"publishing company"	0.0654205
"Turner Sports"	0.0651459
studio	0.0651376
"TV program"	0.0650866
"Good Morning America"	0.0648359
"History Channel"	0.0636687
"theme park"	0.063517
"trunk line"	0.0628302
broadcasting	0.0624116
"TV show"	0.0621707
"Black Entertainment Television"	0.0621341
"Turner Broadcasting"	0.0616137
"broadcasting company"	0.0613345
"movie studio"	0.061202
"television program"	0.0611259
"Cable News Network"	0.0605889
Telecast	0.0603829
"print media"	0.0602804
"game show"	0.0602054
"telephone network"	0.0592964
"retail chain"	0.0581925
"Time Warner"	0.0581522
"Warner Bros."	0.0579283
"phone company"	0.0578371
Portal	0.0576991
"China Central Television"	0.0574437
Nightline	0.0573024
ISPs	0.0572168
"Warner Brothers"	0.0570205
"relay stations"	0.0567384
websites	0.0561215
e	0.0556412
advertiser	0.0553345
CNN/SI	0.0541091
"Hollywood studio"	0.0539895
Website	0.0537778
startup	0.0536102
provider	0.0535347
Satellite	0.0534946
"telephone system"	0.0522058
"highway system"	0.0520947
"trade publication"	0.0519738
CNNfn	0.0518938
miniseries	0.0517602
chain	0.0515932
venture	0.0515194
"department store chain"	0.0510284
"Dateline NBC"	0.050794
DirecTV	0.0506073
"NBC News"	0.0504656
"wire service"	0.0502512
"telephone company"	0.0501941
"computer network"	0.0501554
web	0.0500805
"advertising agency"	0.0500106
"telephone service"	0.0499864
airline	0.0497613
ISP	0.0495839
CBC	0.0495299
CCTV	0.0493389
"Home Shopping Network"	0.0493308
"publishing house"	0.0492857
"Baby Bells"	0.0488686
wireless	0.0487116
"communications service"	0.0486984
MGM	0.0484695
paramount	0.0481514
"trucking company"	0.0480497
"power grid"	0.0478842
publication	0.0478208
winery	0.0477773
"retail store"	0.0476082
PAX	0.0475002
"Walt Disney Co."	0.0472363
FX	0.0471713
conglomerate	0.0471416
"Time Inc."	0.0470881
Networks	0.0470562
"Night Football"	0.0468996
"Go Network"	0.0468414
"phone service"	0.0468366
"Daily Show"	0.046622
billboard	0.0463277
Disney	0.0460489
upstart	0.045704
"ad agency"	0.0455699
Cablevision	0.0453902
corporation	0.0453762
publisher	0.0453464
carrier	0.0451755
superstore	0.0451388
lifetime	0.0450926
CNET	0.0450605
subsidiary	0.0449809
"advertising campaign"	0.0449654
"power company"	0.0448972
"software system"	0.0448316
"telephone line"	0.0448216
SportsCenter	0.0446142
"Fox News"	0.0443726
Univision	0.0443331
franchise	0.0442724
syndication	0.0442424
"computer game"	0.0442312
"television news"	0.044182
"brokerage firm"	0.0441247
"Fox Sports"	0.0441082
"transmission line"	0.0439455
"ABC News"	0.0438378
"oil refinery"	0.0436719
"electric company"	0.0435274
"auto maker"	0.043496
Programmer	0.0434744
pipeline	0.0433738
"software product"	0.0433222
telecommunication	0.0432936
empire	0.0432825
"joint venture"	0.0432517
"restaurant chain"	0.0431957
intranet	0.0431573
BellSouth	0.0429959
documentary	0.0429065
utility	0.0428927
USA	0.0428444
"electronics company"	0.0428235
"America Online"	0.0427025
"chain store"	0.0426478
"optical fiber"	0.0426421
"British Broadcasting Corp."	0.0426141
"data communication"	0.0425687
atm	0.0424727
ECN	0.0424344
universal	0.0423934
))
("Cable News Network" (desc 3588.86) (sims
"British Broadcasting Corp."	0.174081
CNN	0.166021
"Voice of America"	0.155723
"British Broadcasting Corporation"	0.141352
BBC	0.141269
"National Public Radio"	0.136573
C-Span	0.135542
"Dow Jones Newswires"	0.135124
"Israel Radio"	0.134244
"El Pais"	0.125898
IRNA	0.12296
"Der Spiegel"	0.121741
"Cincinnati Enquirer"	0.121591
MSNBC	0.119328
Izvestia	0.119046
CNBC	0.11815
Haaretz	0.118089
"Washington Times"	0.115386
"Zimbabwe News Agency"	0.110038
"Late Edition"	0.108655
"Financial Times"	0.105287
"television network"	0.104159
"Court TV"	0.103034
"Fox News"	0.10265
"Chicago Tribune"	0.101887
"ABC News"	0.101719
"TV network"	0.0996062
Enquirer	0.0978907
"Good Morning America"	0.0973097
"El Mundo"	0.0971777
"United Press International"	0.0954639
"National Journal"	0.0947523
Reuters	0.0946741
"Jerusalem Post"	0.094453
NTV	0.094343
ABS-CBN	0.0904037
"Arizona Republic"	0.0903928
"Le Figaro"	0.0898738
"USA TODAY"	0.0891646
"Business Times"	0.0888498
CBs	0.0884926
"Agence France Presse"	0.0871296
"Xinhua News Agency"	0.0869026
"Egyptian Middle East News Agency"	0.0862591
"Seattle Post-Intelligencer"	0.0859394
"TV station"	0.0856292
ESPN	0.0851056
"Fox News Channel"	0.0850365
"Turkish Daily News"	0.084225
Newsweek	0.0840622
"television news"	0.0836297
"Los Angeles Times"	0.0828502
"Le Monde"	0.0813839
"Iran News"	0.0813487
"San Jose Mercury News"	0.0812456
"News Agency of Nigeria"	0.0806704
"U.S. News"	0.0802545
CTV	0.0797654
Al-Ahram	0.0797501
"Straits Times"	0.0795646
CBS-TV	0.0794749
"Dateline NBC"	0.0790866
"television station"	0.0789368
"Des Moines Register"	0.0787001
NHK	0.0786727
"Washington Post"	0.0786635
"Wall Street Journal"	0.0784999
"Kansas City Star"	0.078421
"Orange County Register"	0.0784071
"Dallas Morning News"	0.0782316
Nightline	0.0780463
"Asahi Shimbun"	0.0780399
PBS	0.0772042
Inquirer	0.0764623
"Entertainment Tonight"	0.0762669
"Radio Free Asia"	0.0760941
"radio station"	0.0757733
Antara	0.0752886
"Boston Herald"	0.0751233
Star-Ledger	0.0748309
DNR	0.0744954
"Denver Post"	0.0742146
"Associated Press of Pakistan"	0.0738699
"Middle East News Agency"	0.0737362
ABC-TV	0.0734081
"Golf Channel"	0.0732744
"New Straits Times"	0.0731348
"Channel @"	0.0727136
Kommersant	0.0726104
"Discovery Channel"	0.0721021
"St. Louis Post-Dispatch"	0.0715998
"Sporting News"	0.0715441
"Bloomberg News"	0.071461
al-Hayat	0.0700795
"Black Entertainment Television"	0.0700416
"Kraft Foods"	0.070031
Bild	0.069863
"Ghana News Agency"	0.0697135
"Tehran Times"	0.0695859
iTV	0.0693192
"New York Post"	0.0691305
"National Association of Realtors"	0.0688765
"Associated Press"	0.0688226
"Detroit News"	0.0685179
"Larry King Live"	0.0683971
"Detroit Free Press"	0.0683312
Post-Intelligencer	0.0681863
"tabloid newspaper"	0.0678218
"Health and Human Services Department"	0.0673295
"Agence France-Presse"	0.0672187
"Islamic Republic News Agency"	0.0671304
"BellSouth Corp."	0.0670155
"San Francisco Chronicle"	0.0664761
"Boston Globe"	0.0661458
"Seattle Times"	0.0657988
Notimex	0.0653246
CNNfn	0.0652535
"Food Network"	0.065025
drudge	0.0649615
"San Antonio Express-News"	0.0649086
"Hong Kong Tourist Association"	0.0643726
Maariv	0.0641973
"U.S. Agriculture Department"	0.0638314
"CBS News"	0.0638289
Walters	0.0636143
Star-Telegram	0.0634313
"Sports Illustrated"	0.063236
Ansa	0.0627064
"wire service"	0.0626629
"New York Times"	0.0624513
Salon.com	0.0624501
"NBC News"	0.0623113
CNN/SI	0.0622072
"Times Mirror Co."	0.0622043
APA	0.0618889
Hurriyet	0.0617709
Spiegel	0.0616531
"Daily News"	0.0615761
Lusa	0.061142
"Vietnam News"	0.0610887
Itogi	0.0606651
"Chicago Sun-Times"	0.060662
"cable network"	0.0605889
Tass	0.0605738
"Fox Sports"	0.0604114
AFP	0.0603742
Bernama	0.0601554
"New Nigerian"	0.0600904
"Kyodo News Service"	0.0600563
WAM	0.0600294
"Pacific Lumber"	0.0600174
MACROMEDIA	0.0597855
"news program"	0.0596998
"Today Show"	0.0596799
"National Enquirer"	0.0596772
"Business Week"	0.0594968
"Wear Daily"	0.0589595
"Moscow Times"	0.0589063
MTV	0.0589035
"CBS Sports"	0.0587518
"Esmat Abdel Meguid"	0.0587429
Petra	0.0586886
"Atlanta Journal-Constitution"	0.0585922
Reforma	0.0583838
"Houston Chronicle"	0.0583485
newsmagazine	0.0581154
"Miami Herald"	0.0580408
UPI	0.0579649
"Department of Energy"	0.0578381
"American Airlines"	0.0577478
BS	0.0576702
"Evening Standard"	0.0570745
"Guangming Daily"	0.0570408
APTN	0.0570373
"Saudi Press Agency"	0.0570167
"Sydney Morning Herald"	0.0569717
"New York Daily News"	0.0567312
"Turner Sports"	0.0565835
"U.S. Defense Department"	0.0565513
"Press Trust of India"	0.0562966
"Rwanda News Agency"	0.0562161
"Inside Edition"	0.0560617
"Daily Telegraph"	0.0558516
RSS	0.0553778
"Post Express"	0.0552725
"Russian Defense Ministry"	0.0552267
SSB	0.055114
Politika	0.0550717
"Turner Broadcasting"	0.0549304
"Antara News Agency"	0.0549124
Newsday	0.0548741
Showtime	0.0544757
BofA	0.0544162
"The Monitor"	0.0542755
MTI	0.0542479
"Islamic Revolutionary Guards Corps"	0.0542114
"Iranian Foreign Ministry"	0.0541826
L'Equipe	0.0541746
"Fox Sports News"	0.054084
CNA	0.053954
))
("cable operator" (desc 7756.3) (sims
"life insurer"	0.153819
"telephone company"	0.152095
provider	0.148338
"phone company"	0.142361
"bank holding company"	0.137364
ISPs	0.132384
issuer	0.123516
"banking company"	0.118336
"drug maker"	0.117543
"toy retailer"	0.116267
"defense contractor"	0.116169
"auto maker"	0.11429
bottlers	0.11193
"cable system"	0.109486
insurer	0.107326
operator	0.107197
"electronics company"	0.104438
"Baby Bells"	0.103956
broadcaster	0.102269
carrier	0.100786
steelmaker	0.100776
shipbuilder	0.100554
wholesaler	0.100242
"toy maker"	0.0998668
automakers	0.0997744
refiner	0.0955662
"power company"	0.0952671
"food company"	0.0951118
"TV network"	0.0950646
"car manufacturer"	0.0948858
issuers	0.0944464
retailer	0.0941901
"department store chain"	0.0924428
"brokerage house"	0.0920736
"brokerage firm"	0.0912558
carmakers	0.0912039
distributor	0.0901439
"car maker"	0.0898234
"Protestant denomination"	0.0894244
cable	0.0892566
manufacturer	0.0886201
brokerage	0.0885168
"accounting firm"	0.087982
bottler	0.0878234
automaker	0.0873141
Comcast	0.0871954
"electric company"	0.0870586
lender	0.0869323
"television network"	0.0855792
"software maker"	0.0854826
"newspaper publisher"	0.0850977
"ad agency"	0.0849802
toymaker	0.0849431
"insurance company"	0.0847618
airline	0.0843704
maker	0.0834821
shipper	0.083473
advertiser	0.0829545
REITs	0.0821153
"home builder"	0.0818316
ISP	0.0815414
"mining company"	0.0810685
"oil producer"	0.0807354
supplier	0.0805762
"retail chain"	0.0802067
grocer	0.0800197
"trucking company"	0.0796866
"health maintenance organization"	0.0786562
developer	0.0785129
"Time Warner"	0.0780328
"Cox Communications"	0.077804
"British Telecommunications"	0.0772374
importer	0.0771274
bookseller	0.0769621
hauler	0.0765462
"TV station"	0.0759252
resellers	0.0756272
utility	0.0750682
"steel company"	0.0748642
"tire maker"	0.0746566
"cable television"	0.0742772
"British Telecom"	0.0741157
"insurance firm"	0.0739474
carmaker	0.0734902
"commercial bank"	0.0734747
"credit bureau"	0.0732418
marketers	0.0726145
"auto company"	0.0725535
Mediaone	0.0721164
"GTE Corp."	0.0721005
"futures exchange"	0.0720625
"Bell Atlantic"	0.0720154
conglomerate	0.071952
"Hollywood studio"	0.0716461
employer	0.0715421
grower	0.0714149
"health care provider"	0.0713871
"cable network"	0.0710673
metropolises	0.0709079
"financial institution"	0.0707236
"Internet Service Providers"	0.0704427
"business organization"	0.070333
"advertising agency"	0.070055
"building society"	0.069888
"SBC Communications"	0.069864
exporter	0.0696228
"broadcasting company"	0.0695402
"opera company"	0.0695127
long-distance	0.0692611
Gunmakers	0.0684868
"television station"	0.0684624
multinationals	0.0674239
"finance company"	0.0673875
BellSouth	0.0673467
"nuclear power"	0.0672343
vendor	0.067196
"Medicare HMOs"	0.0671689
MCI	0.0669349
"Tele-Communications Inc."	0.0665413
"funeral home"	0.0665188
"Bell Atlantic Corp."	0.0663766
"trading partner"	0.0659594
merchant	0.0658792
Airlines	0.0658308
drugmakers	0.0656095
corporation	0.0654202
dot-coms	0.0653668
"Sprint Corp."	0.0652156
"market maker"	0.0650162
Qwest	0.0648312
highflier	0.0646088
"travel agency"	0.0645794
seller	0.0645327
WebMD	0.06443
landowner	0.0640211
KPN	0.0638513
nonprofits	0.06383
broker	0.0635717
HMO	0.0635106
franchisees	0.0634529
"France Telecom"	0.0629935
"Pac Bell"	0.0628617
meatpackers	0.0627233
"Baby Bell"	0.062703
railroad	0.0626611
"auto manufacturer"	0.0626573
TCI	0.062196
"medical institution"	0.0621052
ECN	0.0619995
"investment house"	0.0619199
"minority shareholder"	0.0617445
Cablevision	0.061685
"movie studio"	0.061153
"Deutsche Telekom"	0.0608099
brewer	0.0607771
Programmer	0.0607303
regulator	0.0606194
debtor	0.0598691
"publishing house"	0.0597572
Vivendi	0.0597091
drugmaker	0.0595738
"educational institution"	0.059553
"chain store"	0.0594045
dealerships	0.059292
"labor union"	0.0591913
winery	0.0591437
wireless	0.0590051
middlemen	0.0583929
publisher	0.0581932
brewery	0.0580945
DirecTV	0.0579992
"publishing company"	0.0579266
"credit union"	0.0578239
underwriter	0.0575313
WorldCom	0.057498
Portal	0.0574419
"Russian bank"	0.0574327
subscriber	0.0572939
"manufacturing business"	0.0569461
laggard	0.0568834
electric	0.0568825
affiliate	0.0568455
"business line"	0.0567272
e-tailers	0.0564998
"U S West"	0.0564576
"school district"	0.0563852
"shipping company"	0.0560839
"Vodafone AirTouch"	0.0558726
"semiconductor maker"	0.055822
Lucent	0.0556306
Vodafone	0.0554737
ExciteAtHome	0.0553819
"savings bank"	0.0553354
"MCI WorldCom"	0.0552524
"Ford Motor Co."	0.0552118
businesswomen	0.0549465
contractor	0.0546609
builder	0.0543678
REIT	0.0542589
chipmakers	0.0541382
))
("cable system" (desc 14504.1) (sims
cable	0.131404
"cable network"	0.121212
network	0.113277
"cable operator"	0.109486
"telephone network"	0.108468
"TV station"	0.103367
"television station"	0.101738
"media property"	0.10145
"cable television"	0.1003
"phone system"	0.0960627
"phone line"	0.0913399
"telephone service"	0.0912038
"phone service"	0.0911128
modem	0.0908939
"telephone line"	0.0895732
subscriber	0.0893586
"TV network"	0.0868663
Satellite	0.0846354
"computer network"	0.0836156
channel	0.083407
"radio station"	0.0830538
wireless	0.0821114
provider	0.0817788
"communications network"	0.0810552
"telephone system"	0.0795752
affiliate	0.0789413
"fiber optic cable"	0.0780184
"power grid"	0.0775286
server	0.0769605
"phone company"	0.0763551
"television network"	0.0756721
airwaves	0.0731765
"telephone company"	0.072524
wire	0.0722263
ISPs	0.0721429
outlet	0.0716832
Mediaone	0.0704568
pipeline	0.0703076
DirecTV	0.0699005
atm	0.0695641
ISP	0.0694199
"power plant"	0.0689363
"service station"	0.068861
TCI	0.0680707
"personal computer"	0.0675971
DSL	0.0662533
dealerships	0.0662269
"communications satellite"	0.0645816
"optical fiber"	0.0642933
bottlers	0.0641558
"Tele-Communications Inc."	0.0638046
broadband	0.0632006
PC	0.0628954
telecommunication	0.062563
carrier	0.0624057
"trunk line"	0.0623784
"Time Warner"	0.0623439
"communication network"	0.0621244
utility	0.0621152
"cellular phone"	0.0616803
"Home Shopping Network"	0.0613307
"business unit"	0.0609599
"funeral home"	0.0609215
Broadcast.com	0.0608747
franchise	0.060353
"data communication"	0.0601156
"retail chain"	0.0600872
web	0.0599422
"minority stake"	0.059887
"theme park"	0.0598423
supercomputers	0.0583072
"broadcasting company"	0.0582843
ECN	0.0582423
Portal	0.0576122
broadcaster	0.0576
software	0.0575676
"branch office"	0.0575229
"retail store"	0.0566783
refinery	0.0566133
"cellular telephone"	0.0564846
radar	0.0564548
railway	0.0561094
"communications service"	0.0560438
backbone	0.0559257
"power line"	0.0557899
"athletic facility"	0.055778
"cash machine"	0.0557459
"ad agency"	0.0555695
"advertising agency"	0.0554965
"software system"	0.0553847
"gambling casino"	0.0552561
GSM	0.054902
"computer hardware"	0.0548247
Airtouch	0.0548229
Pharmacy	0.0546815
"World Wide Web"	0.0545055
"coaxial cable"	0.0543316
airline	0.0543264
brokerage	0.0542016
"relay stations"	0.0541811
"Palm VII"	0.0538457
terminal	0.0537539
"rail line"	0.0536353
"broadcast media"	0.0535575
insurer	0.0533755
HMO	0.0533217
"preferred shares"	0.0532658
"Rolls-Royce Motor Cars"	0.0531419
"communications equipment"	0.0529839
Website	0.0528418
electric	0.0528259
"automated teller machine"	0.0528173
"bus company"	0.0527447
pagers	0.0527204
railroad	0.0527002
drugstore	0.0526759
directory	0.0524104
HBO	0.0522657
waterworks	0.052234
user	0.0521483
"Internet Service Providers"	0.0519236
"service area"	0.0519046
hardware	0.0518377
"Channel @@"	0.051595
"water system"	0.0515838
"desktop computer"	0.0515736
"transmission line"	0.0515429
"travel agency"	0.0513591
advertiser	0.0512386
pager	0.0512217
"weapons system"	0.0510535
chain	0.0509985
expressway	0.0509305
generator	0.0508506
PRIMESTAR	0.0507454
"insurance company"	0.0507175
ISDN	0.0506608
resellers	0.0506546
programming	0.0506474
Comcast	0.0505517
"railway system"	0.0504179
"savings bank"	0.0503184
"electric company"	0.050284
"gas station"	0.0500977
bureaus	0.0500227
winery	0.0499936
optic	0.0496556
"food company"	0.0496273
"weather station"	0.0495052
pay-per-view	0.0493695
"transportation system"	0.0492914
TNT	0.0492166
long-distance	0.0491967
"mainframe computer"	0.0490891
brewery	0.0489968
retailer	0.0489277
"tv set"	0.0487294
"brokerage firm"	0.0487169
"radio transmitter"	0.0486939
broadcasting	0.0486492
nonprofits	0.0484987
switchboard	0.0484654
AltaVista	0.0484265
"China Central Television"	0.0483378
eateries	0.0482415
"telephone exchange"	0.0481998
waterway	0.0480312
scanner	0.0480104
telephony	0.0479847
"chain store"	0.0479822
"manufacturing business"	0.0479093
peripheral	0.047909
Netcom	0.0478103
"production facility"	0.0477916
"operating system"	0.0476948
intranet	0.0476791
"highway system"	0.0474982
"bank holding company"	0.0473251
"music school"	0.0471384
"common shares"	0.0471213
"software product"	0.0471047
"nursing home"	0.0470456
Telecom	0.0468128
"line of products"	0.046731
sensor	0.0466316
"public school"	0.0466028
"video screen"	0.0463952
"sales outlet"	0.0463663
wholesaler	0.0463473
"abortion clinic"	0.046303
"health care provider"	0.0462378
"spy satellite"	0.0461805
Casino	0.0461374
VCR	0.0461239
"TV guide"	0.046078
GeoCities	0.0460553
"software maker"	0.0460442
"water supply"	0.0460312
"power company"	0.0460052
infrastructure	0.0459656
))
("cable television" (desc 16332) (sims
cable	0.183975
TV	0.151731
"data communication"	0.145167
television	0.142548
"wireless telephone"	0.136635
broadband	0.126767
"cable network"	0.126368
"phone service"	0.123661
telephony	0.11982
wireless	0.117596
DSL	0.112215
"communications service"	0.111366
broadcasting	0.109881
"telephone service"	0.109469
"cellular telephone"	0.108508
"consumer electronics"	0.105274
telecommunication	0.104984
channel	0.104627
network	0.102576
"cable system"	0.1003
ISDN	0.0998081
Internet	0.0996699
radio	0.0980247
modem	0.0972634
"fiber optics"	0.096328
"telephone network"	0.0959819
"TV network"	0.0956118
"cellular phone"	0.0947921
CNBC	0.0943644
"fax machine"	0.0940016
pay-per-view	0.093484
"History Channel"	0.0922221
multimedia	0.0921607
CNN	0.0893087
"television news"	0.0887463
"TV station"	0.0886892
networking	0.0883285
GSM	0.087741
telephone	0.0877224
"television station"	0.0874183
MTV	0.0873151
pagers	0.0872312
long-distance	0.0869373
Telecoms	0.0865781
CDMA	0.0863716
broadcast	0.0861341
PBS	0.0861084
phone	0.0859939
Entertainment	0.0856291
"personal computer"	0.0853985
MSNBC	0.0850228
publishing	0.0842553
VCR	0.0836518
"National Public Radio"	0.0835666
banking	0.0834027
DirecTV	0.0833629
"television network"	0.0832711
programming	0.0829344
"news program"	0.0828255
pager	0.0827364
"electric power"	0.0820333
ADSL	0.0819863
ESPN@	0.0816554
"tv set"	0.0805439
"TV program"	0.0805072
"video game"	0.0803463
"information service"	0.0793552
video	0.0791344
computing	0.0789765
HBO	0.0784567
"radio station"	0.0782527
Telecom	0.0778896
C-Span	0.0776525
retailing	0.0768015
HDTV	0.0763729
"information technology"	0.0754142
Nickelodeon	0.0752189
"television set"	0.0749116
communication	0.0747538
"computer hardware"	0.07467
"cable operator"	0.0742772
ESPN	0.0742433
"electrical power"	0.0741367
"talk show"	0.073825
"caller ID"	0.073728
ABC	0.0732976
camcorder	0.0732083
"mail order"	0.0728456
CBs	0.0726701
VH@	0.0725413
software	0.0724717
audio	0.0723861
"print media"	0.072236
"color television"	0.0719791
electricity	0.0718179
e-business	0.0717008
Gaming	0.071607
"hand-held computer"	0.0715651
fax	0.0714069
Showtime	0.0710909
"computer technology"	0.0710176
"news show"	0.070815
"high technology"	0.0705433
aerospace	0.0703668
e-commerce	0.0703473
"Fox Sports Net"	0.0699719
"telephone system"	0.0698228
intranets	0.0695948
appliance	0.0694137
"Comedy Central"	0.0691185
"World Wide Web"	0.0690472
UPN	0.0690299
"Home Shopping Network"	0.0688361
web	0.0685592
Satellite	0.0682922
PC	0.0681581
"Channel @@"	0.0671276
VH-@	0.0670749
commerce	0.0670115
semiconductor	0.0669917
"television program"	0.0668338
aviation	0.0666683
"optical fiber"	0.0664758
outlet	0.0664689
transmission	0.0658982
"phone line"	0.0658358
camcorders	0.0657813
NBC	0.0655936
connectivity	0.0654553
retail	0.0653693
ISP	0.0651265
Microelectronics	0.0648872
vending	0.0648021
"communication system"	0.0646632
provider	0.0641566
BBC	0.0640776
WebTV	0.0638335
pharmaceutical	0.0636767
"real estate"	0.063578
"computer network"	0.0635563
intranet	0.0632308
air-conditioning	0.0629013
newscast	0.0625921
Trucking	0.0624488
biotechnology	0.0623262
telegraph	0.0621673
"Food Network"	0.062142
"public transport"	0.0619958
"local call"	0.0617202
"specialty chemical"	0.0617101
microwave	0.0616691
switchboard	0.061631
beepers	0.0615299
"telephone line"	0.0612702
"home appliance"	0.0610585
"chain store"	0.060836
"communications equipment"	0.0608346
"Discovery Channel"	0.0608313
media	0.0604896
"data processing"	0.0602844
cellphone	0.0600696
"video screen"	0.0596783
"communications technology"	0.0595687
atm	0.0591463
hardware	0.0590748
"mass media"	0.0585658
"computer game"	0.0582744
electronics	0.0582324
"communications satellite"	0.0582297
brokerage	0.058205
"laptop computer"	0.0581372
peripheral	0.0580306
"Channel @"	0.0579872
"health care"	0.0576722
"call waiting"	0.0576687
"fiber optic cable"	0.0576505
"broadcast media"	0.0575191
"household appliance"	0.0572491
transportation	0.0572336
"videocassette recorder"	0.0571642
WB	0.0570741
"CD player"	0.0570073
beeper	0.0569638
"Voice of America"	0.0567554
Mediaone	0.056632
"phone company"	0.0564826
"Court TV"	0.056272
TCI	0.0562097
Advertising	0.0561427
server	0.0560731
"motion picture"	0.0560387
"Night Football"	0.0560029
iTV	0.0559276
"electronic mail"	0.0558816
"Medicare HMO"	0.0558276
stereo	0.0555873
mainframe	0.0555249
QVC	0.0555213
"television show"	0.0554308
copier	0.0554237
))
(Cabletron (desc 1298.66) (sims
RJR	0.173058
VENATOR	0.165907
SGI	0.161123
"P&AMP;G"	0.160081
"Thermo Electron"	0.159045
COLTEC	0.158784
NORTHROP	0.156051
TYCO	0.155712
Conseco	0.154443
Pairgain	0.154134
AHP	0.152055
Cadbury	0.148571
McKesson	0.147208
UAL	0.145592
Scientific-Atlanta	0.144505
HBOC	0.141599
Pitney	0.139615
"Pacific Century"	0.139019
AutoNation	0.138396
Starwood	0.138381
XYLAN	0.138144
Unisys	0.137807
MiniMed	0.135312
Emulex	0.134559
Medtronic	0.133908
HP	0.133107
ICI	0.133051
"Advanced Micro"	0.131619
Gillette	0.131224
MACROMEDIA	0.130441
"Waste Management"	0.129695
Delphi	0.129334
Autodesk	0.129251
AMR	0.129044
PEOPLESOFT	0.128797
FPL	0.128004
UAM	0.127313
PictureTel	0.127083
"HBO &AMP; Co."	0.126689
Genzyme	0.125956
BCE	0.125827
Tenneco	0.12535
Asda	0.124781
Incyte	0.12437
ALZA	0.123708
Seagate	0.123457
Daimler	0.123078
ADM	0.122566
Healtheon/WebMD	0.122354
"Boston Scientific"	0.121489
TELLABS	0.121126
"Stride Rite"	0.120559
Broderbund	0.120391
Healtheon	0.120224
EMC	0.119926
Stratus	0.119836
Corel	0.119601
"J&AMP;J"	0.118519
Petrofina	0.117673
"RJR Nabisco"	0.117663
Berkshire	0.117463
CCE	0.117112
AIG	0.116905
Novell	0.116023
NatWest	0.115881
"Bank of Scotland"	0.115855
CMGI	0.115748
Mattel	0.115271
Georgia-Pacific	0.11427
Clorox	0.113688
Penney	0.113414
Ciena	0.113068
ExciteAtHome	0.113015
"Red Hat"	0.112965
Mannesmann	0.112932
"Dayton Hudson"	0.11264
Nortel	0.111377
SmithKline	0.110807
Lockheed	0.110759
Pepsico	0.110256
"KCP&AMP;L"	0.109893
Weyerhaeuser	0.109725
Cendant	0.10972
Genentech	0.109119
Deutsche	0.108827
Akamai	0.108606
"Phelps Dodge"	0.108582
Halliburton	0.108154
Sepracor	0.107586
WELLPOINT	0.107556
Biogen	0.107556
GANNETT	0.107384
Sunbeam	0.107094
Polaroid	0.106246
"Silicon Graphics"	0.106211
Maytag	0.106197
RealNetworks	0.106009
Informix	0.105979
Compaq	0.105862
Norwest	0.105288
Goodrich	0.105177
Aegon	0.10488
ARCO	0.104842
Equifax	0.104834
Agilent	0.104329
E-LOAN	0.104168
"Niagara Mohawk"	0.103954
Honeywell	0.103567
"Southern Co."	0.103269
Seagram	0.103261
"First Union"	0.103035
Livent	0.102992
Hewlett	0.102814
NTT	0.102
Aetna	0.101865
Nabisco	0.101705
BankAmerica	0.101451
Amgen	0.10142
Broadcom	0.101355
"Whole Foods"	0.101339
REVLON	0.101221
ZIFF-DAVIS	0.100716
"Times Mirror"	0.100362
MetLife	0.10034
Vivendi	0.100191
"JDS Uniphase"	0.0998345
"BP Amoco"	0.0996434
Albertson's	0.0995902
NiSource	0.0995613
Raytheon	0.0988331
"National Grid"	0.0987238
"Con Ed"	0.0986632
Kodak	0.0985494
"U.S. Trust"	0.0979036
NCR	0.0978912
Alltel	0.0974885
Corning	0.0974624
Litton	0.0973626
Harcourt	0.0972894
Schlumberger	0.0972347
"Rite Aid"	0.0969323
Viacom	0.0959619
Warner-Lambert	0.0958177
UBS	0.0957229
"International Paper"	0.0956857
Cisco	0.0956194
"Network Associates"	0.0954034
Checkfree	0.0953691
Zapata	0.0953182
IAI	0.0949967
CUC	0.0949699
WPP	0.094695
"Coca-Cola Co."	0.0932834
BankBoston	0.0932561
"True North"	0.0932237
Airtouch	0.0927192
Kroger	0.0918294
Globalstar	0.0917668
Bestfoods	0.0914258
AMD	0.0913803
McGraw-Hill	0.091184
"Sharper Image"	0.0911058
EarthLink	0.0910297
Dupont	0.0909484
AlliedSignal	0.0908092
"Learning Co."	0.090305
Micron	0.0901153
AstraZeneca	0.0899369
Goodyear	0.0896092
Monsanto	0.0894243
"Hongkong Telecom"	0.0892576
Omnicom	0.0892546
Scripps	0.0889601
Pfizer	0.0888226
Nikko	0.088822
Chrysler	0.0886033
Warnaco	0.0883619
Xerox	0.0881418
Danka	0.0879233
"U S West"	0.087242
"Computer Associates"	0.0871385
Unilever	0.0871341
RAMBUS	0.0870517
MindSpring	0.0867985
"Global Crossing"	0.086795
"State Street"	0.0867412
Chiron	0.0867023
Hewlett-Packard	0.0866174
"Y&AMP;R"	0.0866068
Iomega	0.0866051
Qualcomm	0.0859626
GTE	0.0859565
TRW	0.0856005
Webvan	0.0855103
Tandy	0.08542
Cerent	0.085354
sandpiper	0.0853464
Nextel	0.0853403
"Sara Lee"	0.085161
Qwest	0.0850922
))
(Cablevision (desc 6056.62) (sims
"Cox Communications"	0.205953
TCI	0.194524
Comcast	0.18357
Viacom	0.181191
"Time Warner"	0.17974
Mediaone	0.161879
Bertelsmann	0.159431
"Walt Disney Co."	0.154359
"News Corp."	0.147491
Vivendi	0.142347
Telefonica	0.14133
"MCI WorldCom"	0.140077
"Tele-Communications Inc."	0.140011
YankeeNets	0.139855
"USA Networks"	0.138085
AIG	0.137171
Seagram	0.130804
"Tribune Co."	0.13013
"Viacom Inc."	0.123122
MCI	0.12276
"Seagram Co."	0.122047
Murdoch	0.12178
"GE Capital"	0.121644
"National Grid"	0.121042
"Hearst Corp."	0.119831
Qwest	0.119164
iXL	0.118996
Genzyme	0.118868
BellSouth	0.118608
SBC	0.11784
ExciteAtHome	0.117614
"Global Crossing"	0.117525
"General Electric Co."	0.117429
EarthLink	0.117237
"Conde Nast"	0.117134
CMGI	0.116953
Mannesmann	0.114819
Northpoint	0.114439
Nortel	0.114289
"Berkshire Hathaway"	0.11344
Enron	0.112775
"Times Co."	0.111832
Pepsico	0.111757
"Northeast Utilities"	0.111489
Starwood	0.110899
MetLife	0.110343
Aegon	0.10961
"America Online"	0.109004
SAirGroup	0.10899
Litton	0.108955
"Time Warner Inc."	0.108586
GTE	0.108504
PolyGram	0.107733
WorldCom	0.107612
"Hughes Electronics"	0.106773
"Kraft Foods"	0.106623
"Knight Ridder"	0.106621
Echostar	0.1063
GANNETT	0.106174
Hasbro	0.105942
"MediaOne Group"	0.105553
DirecTV	0.105453
Unilever	0.105253
AMR	0.105225
"General Electric"	0.10522
Exxon	0.10468
CSX	0.104382
UAL	0.104256
"Turner Broadcasting"	0.104134
"AMR Corp."	0.104088
"Hughes Electronics Corp."	0.103412
"Bell Atlantic"	0.103293
TYCO	0.103245
"BP Amoco"	0.103017
"Con Ed"	0.103009
SFX	0.10269
NTL	0.102511
"Aetna Inc."	0.102359
"UAL Corp."	0.102226
HSBC	0.102026
Sumitomo	0.101685
"Cendant Corp."	0.101681
"France Telecom"	0.101006
KPN	0.100972
"Deutsche Bank"	0.100958
McKesson	0.100892
NTT	0.100714
"Hyundai Group"	0.10051
"Chevron Corp."	0.100449
"Deutsche Telekom"	0.100436
"Times Mirror"	0.100417
"HBO &AMP; Co."	0.100301
MindSpring	0.0998574
Disney	0.0997907
Omnicom	0.0996581
Healtheon/WebMD	0.0995171
"Oracle Corp."	0.0992081
Livent	0.0992
Totalfina	0.0989393
"Federated Department Stores"	0.0988498
"Liberty Media"	0.0987865
LVMH	0.0987627
Daimler	0.0983823
"Halliburton Co."	0.0981485
Marketspan	0.0980722
"Boston Scientific"	0.0979723
McCaw	0.0977723
"Universal Studios"	0.097622
"New York Times Co."	0.0975099
Publicis	0.0974707
"U S West"	0.0974439
ITT	0.0974207
Nextel	0.0973502
Halliburton	0.0973004
"General Motors Corp."	0.0967027
Novartis	0.0964046
AOL	0.096376
RealNetworks	0.0959647
Daimler-Benz	0.0956372
"Ford Motor Co."	0.0956039
Lycos	0.0955895
Chris-Craft	0.0953592
WebMD	0.0951254
"Walt Disney"	0.0949674
Interpublic	0.0946411
"Daimlerchrysler AG"	0.0944784
DoCoMo	0.0944687
"Cable &AMP; Wireless"	0.0944291
Mattel	0.094087
Norwest	0.0940439
Vodafone	0.0938402
"Fannie Mae"	0.0936557
"Time Inc."	0.0935071
"Bertelsmann AG"	0.0934997
Primedia	0.0933211
"True North"	0.0931901
Adelphia	0.0931764
Gazprom	0.093085
Citigroup	0.0925841
"Ford Motor"	0.0924881
DoubleClick	0.0924685
Pfizer	0.0921595
Aetna	0.0920701
Healtheon	0.0919669
NatWest	0.0919241
REVLON	0.0916597
Monsanto	0.0914877
"American Home Products"	0.0914779
GM	0.0914173
"American Home"	0.091341
"General Motors"	0.0913077
Lockheed	0.0911638
Eni	0.0911031
"American International Group"	0.091044
"Sony Corp."	0.0909943
BSKyB	0.0907947
Deutsche	0.0905351
Novell	0.0904146
Olivetti	0.0902357
Dupont	0.090209
Warner-Lambert	0.0899258
"Canal Plus"	0.0897804
"Travelers Group"	0.0896346
"US West"	0.0894899
"Mattel Inc."	0.0894448
Motorola	0.0894161
Hearst	0.0892924
"China Unicom"	0.0892702
"Computer Associates"	0.0891641
Aventis	0.089013
Airtouch	0.0888582
"P&AMP;G"	0.0888305
"De Beers"	0.0885025
Astra	0.0884861
Renault	0.0883453
Diageo	0.0882706
"Bankers Trust"	0.0880943
WPP	0.0879271
"RJR Nabisco"	0.0878848
"Hongkong Telecom"	0.087331
Ameritech	0.0873241
"Southern Co."	0.087079
ENTERGY	0.0869315
Uunet	0.0869171
CNET	0.0868527
ICI	0.0868325
EMC	0.0867288
Cendant	0.0866986
Cadbury	0.0866532
DaimlerChrysler	0.0866421
GEC	0.0864119
"Delta Air Lines"	0.0863814
Nestle	0.0860048
BankAmerica	0.0858466
Cisco	0.0858441
Texaco	0.0858373
"Sprint Corp."	0.0857023
Ge	0.0856453
Federated	0.0855322
IDG	0.0854302
))
(Cabot (desc 1305.46) (sims
Scripps	0.132046
Georgia-Pacific	0.116357
IDT	0.113175
GEC	0.112358
"Thermo Electron"	0.108771
Berkshire	0.105511
Clorox	0.103761
Tenneco	0.0993914
Genzyme	0.0989533
VENATOR	0.0943363
Starwood	0.0922031
SmithKline	0.0914732
Litton	0.0914568
Tandy	0.0913783
Killington	0.0897451
Middlebury	0.0887594
Inktomi	0.0887021
"St. Albans"	0.0878592
Viag	0.0874643
Mondavi	0.0874521
UAM	0.0868969
RJR	0.0861078
WPP	0.085673
COLTEC	0.0851243
AutoNation	0.0849702
NatWest	0.0837562
"RJR Nabisco"	0.0835664
TELLABS	0.0829261
Federated	0.0807808
CMG	0.0805761
Penney	0.0789039
Corel	0.0771358
"Advanced Micro"	0.0769232
TYCO	0.0767996
"Bausch &AMP; Lomb"	0.0765222
Montpelier	0.0758553
Nortel	0.075281
Scientific-Atlanta	0.0750372
XYLAN	0.0741962
Bronfman	0.0739705
Broadcom	0.0738588
Sepracor	0.0737157
Asda	0.0734618
"National Grid"	0.0721037
"Bank of Scotland"	0.0715828
Emulex	0.0713765
Stroganoff	0.0711691
MiniMed	0.0704788
Ciena	0.0701719
Zapata	0.070147
Barclays	0.0700221
"Ford Motor"	0.0699745
REPSOL	0.0697219
Nabisco	0.0696814
Healtheon/WebMD	0.0694101
"Boston Scientific"	0.0690771
Weyerhaeuser	0.0689999
Cadbury	0.0689039
"Times Co."	0.0685684
Telefonica	0.0682197
"Stride Rite"	0.0681931
"Phelps Dodge"	0.0681882
Wyly	0.0680554
E-LOAN	0.0680431
Gilead	0.0680018
ALZA	0.0678064
AMR	0.0676777
"P&AMP;G"	0.0675952
RAMBUS	0.0674841
Stowe	0.0674794
"Dayton Hudson"	0.0673942
SFX	0.0673773
Publicis	0.0673689
Chiron	0.0670831
EMC	0.0668786
Aetna	0.066873
Hasbro	0.0666432
"Cadbury Schweppes"	0.0664831
ICI	0.0664598
Pearson	0.0664574
Unilever	0.0662556
Braintree	0.0659221
Autodesk	0.0658383
"Times Mirror"	0.065449
Norwest	0.0654414
NTL	0.0653724
kingfisher	0.0651589
Fayetteville	0.0646773
Vivendi	0.064639
Omnicom	0.0646193
Humana	0.0644868
Quokka	0.0644717
Waterbury	0.0644412
BNFL	0.0640624
Stroh	0.0640517
Wachovia	0.0636623
Norwich	0.0632804
Schlumberger	0.0632803
Easton	0.0630665
Haier	0.0628856
Alcatel	0.0628072
S@	0.0627102
Conway	0.0626031
HBOC	0.0623048
Walpole	0.0617666
NORTHROP	0.0617433
"Y&AMP;R"	0.0617378
"Union Carbide"	0.0614188
Deutsche	0.0611452
UAL	0.0610398
KSE	0.0606109
PictureTel	0.060507
Hoechst	0.0604505
YankeeNets	0.0602646
Eurotunnel	0.0601317
Winslow	0.0597482
Jonesboro	0.0596276
Burlington	0.0596072
Seagram	0.0595432
Zapruder	0.0594404
Pepsico	0.0593958
Checkfree	0.0591975
HP	0.0589976
McKesson	0.0588778
Wallingford	0.0588233
CMGI	0.0587007
Astra	0.0586758
Mattel	0.0585754
Heinz	0.0582937
Corning	0.0582231
Farmington	0.0579877
Cendant	0.057846
BCE	0.0577936
Raytheon	0.0576304
"Network Associates"	0.0574245
Delphi	0.0574042
Randolph	0.0572947
Huizenga	0.0572569
"Sara Lee"	0.0572148
TKT	0.0571642
Bayer	0.0571419
Akamai	0.0568198
Lew	0.0566653
ENTERGY	0.0566112
"Aetna Inc."	0.0565484
"Royal Bank"	0.0564308
Maytag	0.0564038
"Tribune Co."	0.0563587
"Berkshire Hathaway"	0.0560529
Kodak	0.0560482
Dahmer	0.0559155
Icahn	0.0558945
Kellogg	0.0558876
"Knight Ridder"	0.0558726
Carlisle	0.0557836
CPF	0.0557469
GTE	0.0556385
Livent	0.0556383
Alltel	0.055333
Milton	0.0551814
"KCP&AMP;L"	0.055151
Cornish	0.0550399
UTC	0.0546895
Monsanto	0.0545482
SBC	0.0545298
Medtronic	0.0545197
Bertelsmann	0.0543186
Schering	0.0543001
Ghosn	0.0542107
Healtheon	0.0541356
Biogen	0.0540578
AIG	0.0539474
Lockheed	0.0537414
Daimler	0.0537168
Sunbeam	0.0534977
Glaxo	0.0534786
Alcan	0.0531737
Fingerhut	0.0528815
"Dow Corning"	0.0527886
Nikko	0.0526413
ani	0.0526322
Danka	0.0526106
"Ocean Spray"	0.0525987
Novell	0.0525824
VW	0.0525292
VoiceStream	0.0524192
"Legal Aid Society"	0.0524042
McGraw-Hill	0.0523659
Helena	0.0523629
AXA	0.0522445
"Food Lion"	0.0521889
Seagate	0.0521766
Fujitsu	0.0520357
Amgen	0.0520148
"Southern Co."	0.0520114
"Allied Signal"	0.051852
Stratus	0.0517774
Sycamore	0.0517544
"Telecom Italia"	0.0516578
CDnow	0.0516229
))
(Cabrera (desc 2540.03) (sims
Lieberthal	0.195114
Dunston	0.18745
Rolen	0.166123
Cirillo	0.155922
Lankford	0.154719
Aurilia	0.154221
Delgado	0.149578
Ledee	0.147212
Lofton	0.140929
Burks	0.140873
grieve	0.140258
"Mark Loretta"	0.140246
DiSarcina	0.139189
Segui	0.138376
Kapler	0.13829
Bordick	0.137625
Baerga	0.137227
Fryman	0.136813
Sexson	0.13557
Olerud	0.134885
Palmeiro	0.13302
McLemore	0.132667
"Bill Spiers"	0.132337
Vidro	0.132229
"Jim Thome"	0.131965
"Derrek Lee"	0.131121
Molina	0.130258
Klesko	0.130189
"John Vander Wal"	0.127925
DeShields	0.12789
Elster	0.127608
Merloni	0.127445
Ordonez	0.127358
Frye	0.12735
"Bruce Aven"	0.127308
Cedeno	0.12719
Varitek	0.125268
Caminiti	0.125066
Beltre	0.124598
Canseco	0.124427
Gwynn	0.122796
"Marvin Benard"	0.122396
Burnitz	0.122083
Ankiel	0.121589
Alfonzo	0.121221
Huskey	0.121064
Ochoa	0.120848
Velarde	0.120515
Renteria	0.120268
Batista	0.120199
Alicea	0.120092
"Eddie Taubensee"	0.119965
"Bill Mueller"	0.119871
Giambi	0.119772
Fullmer	0.119689
Vizquel	0.119571
Higginson	0.119309
"Mickey Morandini"	0.119211
"Russ Johnson"	0.119184
"Brian Hunter"	0.118544
Beltran	0.118271
Hatteberg	0.118088
"Jeff Conine"	0.117737
Gutierrez	0.116762
Glaus	0.116468
Cordero	0.116302
"Scott Spiezio"	0.116265
"Matt Franco"	0.116261
Bautista	0.116155
D'Amico	0.115905
Abreu	0.115552
"Tim Bogar"	0.115367
"Eric Owens"	0.11478
Nevin	0.113946
Boone	0.113795
"Mike Sweeney"	0.113634
"Matt Lawton"	0.113199
Valentin	0.112919
Biggio	0.112682
Galarraga	0.111967
singleton	0.111656
"Stan Javier"	0.11165
Karros	0.111592
Spiers	0.111564
Ramirez	0.111368
Glanville	0.110924
Grudzielanek	0.109866
"Mark Kotsay"	0.109786
Bichette	0.109719
Womack	0.109497
"David Ortiz"	0.109421
"Damian Miller"	0.109345
Bergeron	0.109272
Padilla	0.109101
Catalanotto	0.109064
Mora	0.109012
Erstad	0.108818
Surhoff	0.108722
Castilla	0.108693
"Eric Karros"	0.108565
"Tony Eusebio"	0.108563
"Craig Biggio"	0.108563
"Jeff Bagwell"	0.10828
"Dave Hansen"	0.107593
Garciaparra	0.107487
Ripken	0.107419
Contreras	0.107295
Agbayani	0.107127
"Bobby Higginson"	0.106598
"Tim Salmon"	0.106466
Alomar	0.106339
"Melvin Mora"	0.105316
Tatis	0.104976
"John Olerud"	0.104953
Leyritz	0.104757
"Dmitri Young"	0.104676
"Benny Agbayani"	0.104667
"Manny Alexander"	0.104596
Sojo	0.104253
Burrell	0.104197
Guillen	0.104018
"Mike Lieberthal"	0.103845
"Randy Velarde"	0.103828
"Henry Rodriguez"	0.103781
"Jose Vidro"	0.103776
"Ray Lankford"	0.103767
Zeile	0.103309
"Ricky Gutierrez"	0.102919
Taubensee	0.101892
Brosius	0.101727
"Glenallen Hill"	0.101396
Hollins	0.101388
"Bobby Abreu"	0.101384
"John Mabry"	0.101354
Alou	0.101347
Lawton	0.101291
"Troy Glaus"	0.10129
"Jeff Huson"	0.100695
Bagwell	0.100536
"Miguel Cairo"	0.100413
Sweeney	0.100311
McRae	0.100148
Gilkey	0.10014
Saenz	0.100046
Mikhailov	0.0994995
Daubach	0.0994726
"Will Clark"	0.0994484
"Lance Berkman"	0.0994309
"Luis Alicea"	0.0993665
"Rondell White"	0.0989807
"Rafael Palmeiro"	0.0989722
"Carlos Lee"	0.0989024
"Ozzie Guillen"	0.0988059
"Phil Nevin"	0.0987035
Konerko	0.0985799
"Matt Walbeck"	0.0984651
"Tino Martinez"	0.0984286
Castillo	0.0983745
"J.T Snow"	0.0983704
"Kelly Stinnett"	0.0983677
"Ryan Klesko"	0.0981338
"Butch Huskey"	0.0981335
Girardi	0.0980477
"Orlando Palmeiro"	0.098018
"Jason Giambi"	0.0977563
"Gary DiSarcina"	0.0977453
Ausmus	0.0975749
"Darren Lewis"	0.0972756
Hundley	0.0972731
Laudrup	0.096932
Bragg	0.09641
"Maturino Resendiz"	0.0963324
"Eric Chavez"	0.0963035
"Todd Pratt"	0.096099
"Keith Lockhart"	0.0960458
"Bubba Trammell"	0.0959726
"Bengie Molina"	0.0959636
Hidalgo	0.0957948
Buhner	0.0956191
"Darin Erstad"	0.0953356
"Sandy Alomar"	0.0952402
"Wally Joyner"	0.0951295
"Sean Casey"	0.0950759
Meares	0.0947852
Posada	0.0946884
McGriff	0.0944535
"Dante Bichette"	0.0942393
"Rich Aurilia"	0.09418
Thome	0.0940796
Nunez	0.0939728
"Enrique Wilson"	0.0939557
Walbeck	0.0939026
"Herbert Perry"	0.0938894
"Scott Brosius"	0.093639
"Brent Mayne"	0.0936383
"Omar Vizquel"	0.0935274
"Andy Fox"	0.0934807
"Adam Kennedy"	0.0934311
"Damon Buford"	0.093376
Greer	0.0932421
))
(CAC (desc 1117.89) (sims
CAC-@@	0.386588
DAX	0.313106
"CAC @@"	0.308695
FT-SE	0.223021
Bovespa	0.199937
"Xetra Dax"	0.176797
"Tokyo Stock Price Index"	0.175869
STI	0.172168
"Hang Seng"	0.167068
Nikkei	0.149067
"Nikkei Stock Average"	0.147455
"Industrial Index"	0.146057
"FTSE @@@"	0.142839
"Hang Seng China-Affiliated Corporations Index"	0.142204
"Philippine Stock Exchange Index"	0.136468
"Straits Times Industrials Index"	0.131951
PSE	0.131528
"Dow Jones Industrial Average"	0.130365
"Philippine Stock Exchange"	0.1301
"Straits Times Index"	0.129442
"Wireless Optus"	0.126608
"Second Board Index"	0.119999
Sensex	0.115917
"Commonwealth Bank of Australia"	0.115027
Westpac	0.114337
"Weighted Price Index"	0.113226
IPC	0.112915
"Brierley Investment"	0.111847
"Emas Index"	0.111502
"Rio Tinto"	0.108012
FTSE	0.106586
"Bovespa Index"	0.105957
"preferred shares"	0.104684
"Commonwealth Bank"	0.104578
"Stock Exchange of Thailand"	0.103766
"Fletcher Energy"	0.10224
Seng	0.0992771
"Composite Index"	0.0986005
BSE-@@@	0.095775
industrials	0.0953983
sub-index	0.0948307
"National Australia Bank"	0.0941755
Composite	0.0936936
"Kuwait Stock Exchange"	0.0934896
SSE	0.0934566
"Museum of Natural History"	0.0927273
"S&AMP;P"	0.0921977
WMC	0.0915158
"ordinary shares"	0.0907931
ANZ	0.088555
"Champs Elysees"	0.0885239
"GE Life"	0.0885023
"producer price"	0.088449
"blue-chip stock"	0.0882207
Sorbonne	0.0880777
"Lion Nathan"	0.0871556
MSF	0.0866388
"News Corp"	0.0863448
"Fletcher Forest"	0.0857583
HSI	0.0848586
"Carter Holt Harvey"	0.0841704
"Hang Seng China Enterprises Index"	0.0841199
"Fletcher Paper"	0.0827261
"Fletcher Building"	0.0823505
"Karachi Stock Exchange"	0.0818644
fineness	0.0815528
"Shanghai Composite Index"	0.0814889
"Hang Seng Index"	0.0813809
"retail price index"	0.0793834
"Royal Bank of Scotland"	0.0792931
"Creative @@"	0.0784078
KSE	0.0779699
"Air New Zealand"	0.0767362
"leading indicator"	0.0766423
"three schools"	0.0760174
"Israeli Embassy"	0.0753079
"South African Amanda Coetzer"	0.0749172
"German Embassy"	0.0748682
PacCent	0.0739311
"Fashion Week"	0.0738228
"elephant population"	0.0736812
sub-indices	0.073427
Haines	0.0733763
"factory order"	0.0733352
PPI	0.0721174
"Sensitive Index"	0.0718133
scrip	0.0717827
"Dow Jones"	0.0717589
SPH	0.0706164
"Jakarta Stock Exchange"	0.070604
Telstra	0.0705475
"market average"	0.0699527
BHP	0.0698333
"futures price"	0.0697736
"SPH @@@"	0.0693166
CRA	0.0690662
"marketing cost"	0.0689994
"non-performing loans"	0.0689742
"B share"	0.0685812
"French Foreign Ministry"	0.0681691
"home sale"	0.0680563
B-shares	0.0678041
Nicol	0.0676913
"share price"	0.0675725
"occupancy rate"	0.0670008
"water table"	0.0666565
"aircraft order"	0.0663571
"bond price"	0.0659529
"Hutchison Whampoa"	0.0650707
Triomphe	0.0650348
"Hong Kong Telecom"	0.0648325
"Organization for Economic Cooperation and Development"	0.06434
CPAFFC	0.0641953
Marconi	0.0638097
"key rate"	0.0636952
caseloads	0.0636824
"Legion of Honor"	0.0633783
"Texas Instruments"	0.063138
"Left Bank"	0.0630022
ritz	0.0627733
DSE	0.0626707
"more than @.@ percent"	0.0625547
"Eiffel Tower"	0.0625181
"Andersen Consulting"	0.0624951
"Fortune Global Forum"	0.0621333
"pork belly"	0.0614003
"fertility rate"	0.0611736
WEF	0.0611302
"Fletcher Forests"	0.0609892
"Mexican peso"	0.0609185
"Sky TV"	0.0608745
"Red Star"	0.0608306
"Brierley Investments"	0.0608224
"Applied Materials"	0.0605139
"vehicle sale"	0.0604228
Schlumberger	0.060347
"poverty rate"	0.0600833
"Kuala Lumpur Stock Exchange"	0.059955
"International Herald Tribune"	0.0593362
"time deposit"	0.0593297
twenty-six	0.0593182
"NZ First"	0.0589347
"consumer credit"	0.058805
VENATOR	0.058796
"Exxon Mobil"	0.0584369
db	0.0583268
AMP	0.0583209
"truck sale"	0.0581436
"JDS Uniphase"	0.0580341
"NASDAQ Composite Index"	0.0580119
"beaux arts"	0.0575005
"Eli Lilly"	0.0573751
CPI	0.0572328
"bank rate"	0.057201
"Hang Seng Bank"	0.0571934
"Atlantic Richfield"	0.0571871
techs	0.0568916
"British Embassy"	0.0567678
OCBC	0.0567546
"F&AMP;N"	0.056737
"goose bumps"	0.0567151
CMG	0.0567013
CSC	0.0566611
Seine	0.0565838
STOXX	0.0565173
CCF	0.0561878
"Philippine peso"	0.0558978
"price index"	0.0558529
"London Stock Exchange"	0.0557174
"Simon Wiesenthal Center"	0.0555704
blue-chips	0.0553657
"Contact Energy"	0.0553307
bullion	0.0550977
Financials	0.0550656
Unisys	0.0549505
"United Technologies"	0.0549494
"Auckland Airport"	0.0548386
Jansher	0.0547579
apogee	0.0547174
Aegon	0.0546228
"mortgage rate"	0.0544383
"gas price"	0.0544331
Orders	0.0543692
"Red Crescent"	0.0534866
"J.P. Morgan"	0.053336
SMI	0.053197
"Producer Price Index"	0.0530764
Barclays	0.0529308
"take-home pay"	0.0528825
"main office"	0.0528189
IMS	0.052578
"transfer payment"	0.0524688
ridership	0.0522741
CWC	0.0522064
"Standard &AMP; Poor"	0.0521838
zloty	0.0520476
"HSBC Holdings"	0.0518316
RAMBUS	0.051831
warrant@@	0.0518093
"Toronto Stock Exchange"	0.0518059
))
("CAC @@" (desc 1736.51) (sims
CAC-@@	0.455346
"Xetra Dax"	0.417929
DAX	0.361944
"FTSE @@@"	0.325309
CAC	0.308695
"Straits Times Index"	0.297125
"Nikkei Stock Average"	0.279131
"Straits Times Industrials Index"	0.261976
Bovespa	0.248222
Nikkei	0.23847
"Shanghai Composite Index"	0.223676
"Hang Seng"	0.222071
STOXX	0.220017
STI	0.216734
FTSE	0.209882
"Tokyo Stock Price Index"	0.20932
"Weighted Price Index"	0.204268
"Composite Index"	0.198748
"Industrial Index"	0.198422
"Hang Seng Index"	0.197372
"Stock Exchange of Thailand"	0.193666
"Philippine Stock Exchange Index"	0.190443
"Second Board Index"	0.180911
"Commonwealth Bank of Australia"	0.180373
FT-SE	0.176274
"Rio Tinto"	0.175712
"Dow Jones Industrial Average"	0.174946
"Kuwait Stock Exchange"	0.174856
"Commonwealth Bank"	0.174532
Westpac	0.1744
industrials	0.173057
BSE-@@@	0.167633
"Wireless Optus"	0.16564
"Emas Index"	0.162816
IPC	0.160362
"Philippine Stock Exchange"	0.157522
"News Corp"	0.157336
ANZ	0.155015
sharemarket	0.150547
"Karachi Stock Exchange"	0.148496
"National Australia Bank"	0.144854
BHP	0.144758
Sensex	0.144726
"Hang Seng China-Affiliated Corporations Index"	0.144413
"blue-chip stock"	0.14279
PSE	0.138109
"preferred shares"	0.130695
"Lion Nathan"	0.129497
sub-index	0.129445
Bourse	0.127196
Composite	0.127044
SSE	0.12492
MidCap	0.123839
"NASDAQ Composite Index"	0.122735
"futures price"	0.122725
"Fletcher Building"	0.122008
"Hang Seng China Enterprises Index"	0.121708
"Fletcher Forest"	0.121116
"bond price"	0.119914
SPH	0.119645
"Fletcher Energy"	0.119162
WMC	0.117987
"SPH @@@"	0.115989
HSI	0.115863
"Philippine peso"	0.115584
"Fletcher Paper"	0.115145
"B share"	0.112778
"Bovespa Index"	0.109682
"producer price"	0.10952
PacCent	0.109275
"ordinary shares"	0.109041
"Brierley Investment"	0.108917
CRA	0.108816
"Carter Holt Harvey"	0.108695
"blue chip"	0.108633
Dow	0.108622
"Creative @@"	0.105857
"Air New Zealand"	0.104307
KSE	0.103894
Stocks	0.103145
"Champs Elysees"	0.102735
OCBC	0.102589
"pork belly"	0.100763
Nasdaq	0.0999944
"Dow Jones"	0.0998338
"GE Life"	0.0997231
DSE	0.098585
"S&AMP;P"	0.0985812
Telstra	0.0985227
"Australian dollar"	0.0980436
Seng	0.0978702
"Contact Energy"	0.096638
"City Development"	0.0962986
"Hutchison Whampoa"	0.0962234
"Sensitive Index"	0.0955208
"Singapore Press Holdings"	0.0948549
fineness	0.094143
"price index"	0.09377
"truck sale"	0.0927342
"Brierley Investments"	0.0918487
"Jakarta Stock Exchange"	0.0915588
scrip	0.0908326
"Auckland Airport"	0.0905565
SIA	0.0889777
sub-indices	0.0879207
"market average"	0.0869962
"New Zealand dollar"	0.0864997
barometer	0.0863624
"Eiffel Tower"	0.0862357
"share price"	0.0852971
db	0.0851326
"Mexican peso"	0.0818723
"nearly @@ points"	0.0815375
"South African Amanda Coetzer"	0.0813041
"retail price index"	0.0805566
UOB	0.0804814
"Marina Anissina"	0.0803113
Woodside	0.0802237
"Standard &AMP; Poor"	0.0798863
"Canadian dollar"	0.0796243
"Kenyan shilling"	0.0794307
"Royal Bank of Scotland"	0.0778365
"Fletcher Forests"	0.0772025
warrant@@	0.076786
AMP	0.0764929
"Christine Arron"	0.0761846
"Fashion Week"	0.0761611
"pound sterling"	0.0761189
"factory order"	0.0756421
bullion	0.0755807
"leading indicator"	0.0750668
benchmark	0.074869
"vehicle sale"	0.074733
"JDS Uniphase"	0.0747261
"Sky TV"	0.0740345
Sorbonne	0.0737733
physicals	0.0735861
"transit authority"	0.0734839
"water table"	0.0731545
"Singapore dollar"	0.0729051
palladium	0.0723897
"bank rate"	0.0717765
rand	0.0713605
rupee	0.0710554
"Museum of Natural History"	0.0704308
Sautin	0.0701425
"Kuala Lumpur Stock Exchange"	0.0696418
"nearly @@@ points"	0.0694106
"Canal Plus"	0.0692882
"Fortune Global Forum"	0.0689291
"Shenzhen Stock Exchange"	0.0686092
"Marie-Jose Perec"	0.0684252
RAMBUS	0.0682174
"HSBC Holdings"	0.0677497
"British pound"	0.0675802
Makinen	0.0672644
"Producer Price Index"	0.0671447
NYSE	0.0670779
Frankfurt	0.066679
Haines	0.0662522
rupiah	0.0659421
pivotals	0.0658683
"mortgage rate"	0.065811
"home sale"	0.0655396
Seizinger	0.0654875
"German Embassy"	0.0654529
"Joint Liaison Group"	0.0652442
Champs-Elysees	0.0651307
"three schools"	0.0646407
"Applied Materials"	0.0640981
"Todd Eldredge"	0.0640891
"Shanghai Stock Exchange"	0.0636118
"British Telecom"	0.0634383
Nicol	0.0630656
"Treasury bond"	0.0629844
"Hong Kong Telecom"	0.0625178
"Vodafone AirTouch"	0.0623759
Marconi	0.0622004
Orders	0.0621205
Telecom	0.061545
"growth stock"	0.0612803
"more than @@@ points"	0.0612163
"F&AMP;N"	0.0611813
KLSE	0.0611634
Triomphe	0.0609169
"Didier Auriol"	0.0608838
blue-chips	0.0605446
MSF	0.060494
zloty	0.0602968
"Dhaka Stock Exchange"	0.0602048
Zabel	0.0601936
"retail sale"	0.0600059
"First Section"	0.0598716
Nikko	0.0597212
"seeded player"	0.0594296
techs	0.0593922
"fishing season"	0.0591121
"Dell Computer"	0.0589952
"Tyler Hamilton"	0.0588925
peso	0.0588403
))
(CAC-@@ (desc 2694.48) (sims
"CAC @@"	0.455346
FT-SE	0.430766
CAC	0.386588
DAX	0.296192
"Xetra Dax"	0.277511
"Hang Seng China-Affiliated Corporations Index"	0.264603
"Straits Times Index"	0.237587
"Hang Seng"	0.237114
"FTSE @@@"	0.230026
"Hang Seng China Enterprises Index"	0.209273
"Straits Times Industrials Index"	0.190163
Bovespa	0.1864
"Composite Index"	0.182581
"Weighted Price Index"	0.177311
STI	0.170126
Seng	0.166175
"Nikkei Stock Average"	0.165129
"Shanghai Composite Index"	0.164783
"Industrial Index"	0.164751
IPC	0.163261
Nikkei	0.161663
"Stock Exchange of Thailand"	0.15961
"Second Board Index"	0.157933
"Dow Jones Industrial Average"	0.156185
industrials	0.151653
"Emas Index"	0.146459
FTSE	0.145764
"Hang Seng Index"	0.145511
"S&AMP;P"	0.145096
sub-index	0.14443
PSE	0.142718
"Philippine Stock Exchange Index"	0.141093
"Tokyo Stock Price Index"	0.140707
Sensex	0.140085
"Bovespa Index"	0.132027
Composite	0.130548
STOXX	0.125404
BSE-@@@	0.124382
Westpac	0.120252
Nasdaq	0.12006
"Kuwait Stock Exchange"	0.117924
"Philippine Stock Exchange"	0.117776
Stocks	0.117402
"retail price index"	0.112616
"NASDAQ Composite Index"	0.111769
Dow	0.109531
"Rio Tinto"	0.106297
ANZ	0.101752
"Brierley Investment"	0.0999684
DSE	0.0998711
"Commonwealth Bank of Australia"	0.099409
"Fletcher Energy"	0.0969842
sharemarket	0.0967989
"National Australia Bank"	0.0965099
"share price"	0.0956883
"Commonwealth Bank"	0.0949732
HSI	0.0935626
"consumer price index"	0.0933954
"producer price"	0.0933858
"Karachi Stock Exchange"	0.0910935
"Producer Price Index"	0.0909549
Bourse	0.0875248
"Wireless Optus"	0.0871427
"ordinary shares"	0.0865924
"truck sale"	0.0848702
"bond price"	0.0846706
Frankfurt	0.0828983
"News Corp"	0.0827318
SSE	0.0819724
"blue-chip stock"	0.0817911
"GE Life"	0.0811736
"B share"	0.0807625
BHP	0.0805258
"market average"	0.0791497
"SPH @@@"	0.0789336
OCBC	0.0784891
"Singapore Press Holdings"	0.077705
"Carter Holt Harvey"	0.0774442
KSE	0.0765128
WMC	0.0753183
"Fletcher Forest"	0.0747178
fineness	0.0745548
"Philippine peso"	0.0731728
"Lion Nathan"	0.0729179
SPH	0.0728978
"two cents"	0.0726443
Orders	0.0725342
"preferred shares"	0.0718043
B-shares	0.071393
"price index"	0.0710522
"Kuala Lumpur Stock Exchange"	0.0707942
"HSBC Holdings"	0.0705078
"Hutchison Whampoa"	0.0704352
"Fletcher Building"	0.0701058
"Champs Elysees"	0.0696341
Barclays	0.0695853
"Canal Plus"	0.0695505
"eight cents"	0.0694432
"factory order"	0.0693057
benchmark	0.0692782
"blue chip"	0.068894
"Eiffel Tower"	0.0686763
"nearly @@@ points"	0.0681532
"Standard &AMP; Poor"	0.0679248
"leading indicator"	0.0678595
Woodside	0.0675591
"Marina Anissina"	0.0670027
"Didier Auriol"	0.0667173
"futures price"	0.0662154
edging	0.0661444
"Fletcher Paper"	0.0660464
Russell	0.0658808
"Dow Jones"	0.0657619
"bank rate"	0.0656955
scrip	0.0654621
"Australian dollar"	0.0654608
"JDS Uniphase"	0.0650649
physicals	0.0648788
"another @.@ percent"	0.064805
"Sky TV"	0.0647112
"F&AMP;N"	0.0646803
"Air New Zealand"	0.0646457
"Christine Arron"	0.0644894
"Creative @@"	0.0643935
Telstra	0.0639136
"key rate"	0.0638581
"water table"	0.0632561
"Shenzhen Stock Exchange"	0.062943
barometer	0.0628389
"pork belly"	0.0618329
bullion	0.0615309
"Jakarta Stock Exchange"	0.061473
CPI	0.061323
"British Telecom"	0.0613017
CRA	0.0609809
"fertility rate"	0.0606407
warrant@@	0.0602009
SMI	0.0598902
"Contact Energy"	0.0592418
RAMBUS	0.0592177
SIA	0.0589738
"City Development"	0.0587515
"Mexican peso"	0.0584908
"Sensitive Index"	0.058038
"Applied Materials"	0.0577955
"British Telecommunications"	0.0577315
"five cents"	0.0576345
"transit authority"	0.0575234
"Cable &AMP; Wireless"	0.0573833
AMP	0.0572943
"rate of inflation"	0.0572377
"about @@ points"	0.0570197
"Marie-Jose Perec"	0.0569143
"home sale"	0.0569124
"Treasury note"	0.0568607
Financials	0.0565917
"Shanghai Stock Exchange"	0.0565174
MidCap	0.0564759
PPI	0.056142
"Treasury bond"	0.0557591
"aircraft order"	0.0556038
"Fortune Global Forum"	0.0555453
"crime rate"	0.0554892
"discount rate"	0.0549638
"Auckland Airport"	0.054795
"Jean Van de Velde"	0.0547696
sub-indices	0.054593
"vehicle sale"	0.0544995
"Brierley Investments"	0.0543993
"Hong Kong Telecom"	0.0543411
BMI	0.0540559
"Fletcher Forests"	0.053677
"funds rate"	0.0534832
Haines	0.0532002
"less than one percent"	0.0528295
"Renault SA"	0.0522252
"over @@@ points"	0.0516922
"building permit"	0.0512618
Champs-Elysees	0.0508838
"Dhaka Stock Exchange"	0.050682
"International AIDS Conference"	0.0503566
M@	0.0501918
"Texas Instruments"	0.0501425
"British pound"	0.0500563
db	0.0500415
"Singapore dollar"	0.0500223
"Amelie Mauresmo"	0.0493823
"three cents"	0.0493768
caseloads	0.0493238
VCs	0.0492531
"Aerospatiale Matra"	0.0490867
"personal income"	0.0490588
Sorbonne	0.0490334
"New Zealand dollar"	0.0490212
"Tokyo Stock Exchange"	0.0488562
PacCent	0.0487237
"retail price"	0.048416
"Eli Lilly"	0.0483556
Telecoms	0.0479264
"Micron Technology"	0.0479246
))
(Cacak (desc 2195.26) (sims
Kragujevac	0.413926
Kraljevo	0.381964
Pancevo	0.329129
NIS	0.298462
Leskovac	0.288293
"Novi Sad"	0.21753
Golcuk	0.154007
Urus-Martan	0.14859
Urosevac	0.147352
Kismaio	0.147185
Lhokseumawe	0.140587
Nago	0.138182
Saida	0.134622
"Suva Reka"	0.132596
Gnjilane	0.129805
Dundalk	0.129372
Uvira	0.124341
Kismayu	0.122498
Matadi	0.121503
Ashkelon	0.121313
Chamonix	0.119396
Qom	0.117354
Hillsboro	0.1173
Wildwood	0.114338
Tokaimura	0.113453
Shali	0.112733
Marjayoun	0.112393
Malisevo	0.112166
Kailahun	0.111923
Izmit	0.111588
Nabatiyeh	0.110854
Podujevo	0.110549
"Kosovska Mitrovica"	0.110464
Srbica	0.110248
Pailin	0.108028
Orahovac	0.108024
Aswan	0.10799
Posoltega	0.107894
Juba	0.106967
Walkerton	0.106326
Makeni	0.105481
Kizlyar	0.105137
"Kosovo Polje"	0.103503
Kalemie	0.10331
Aachen	0.102827
Princeville	0.09967
"Mount Pleasant"	0.0990969
Merca	0.0963155
Rafah	0.0950396
Kijevo	0.0935071
"Union City"	0.0933985
Podgorica	0.0933214
Plattsburgh	0.0932577
Ensenada	0.0927815
Caguan	0.0922426
Salerno	0.0918815
Prizren	0.0911281
Kanungu	0.0907235
Vukovar	0.0903461
Cavalese	0.0898549
Vitoria	0.0880753
Claremont	0.0869502
Baidoa	0.0859972
Vedeno	0.0851495
Taloqan	0.0842582
Macoris	0.0834999
Beersheba	0.083389
Kupang	0.0826558
Mankulam	0.0820052
Mazar-i-Sharif	0.0819566
Bukavu	0.0818229
Baalbek	0.0816779
"Banja Luka"	0.0815251
Najaf	0.0814385
Matamoros	0.0812876
Entebbe	0.0809943
"Anlong Veng"	0.0808078
Larnaca	0.0805615
Sparta	0.0801743
"Ocean City"	0.0800515
Nogales	0.0798483
Skaneateles	0.0798061
Bursa	0.0797178
Bayonne	0.0792841
Gudermes	0.0792187
Pristina	0.0790557
"Del Rio"	0.078958
"Ciudad Juarez"	0.0782177
Sihanoukville	0.0780539
Limassol	0.0776148
Manta	0.0774249
Kisumu	0.0768823
Haicheng	0.0768099
Talipao	0.0763821
Nablus	0.0762277
Bamiyan	0.0760668
Racak	0.0760168
PEC	0.0757109
Kilinochchi	0.0756011
"Crystal City"	0.0754892
Baoding	0.0753348
Manado	0.0751194
Kindu	0.0750872
Goma	0.0749692
"Shenzhen City"	0.0745316
"San Lorenzo"	0.0743335
CAMILLA	0.0742667
Juarez	0.0737437
Mostar	0.0736925
Portadown	0.0733207
Schenectady	0.0732078
Elmira	0.0731464
Mitrovica	0.0731135
Guayaquil	0.0727344
Puebla	0.0722432
Bangor	0.0719165
Kenema	0.0716247
Hempstead	0.0715877
Bushehr	0.0715067
Diyarbakir	0.071378
Durres	0.0713313
Vlore	0.0713275
Lubumbashi	0.0711278
"Port Elizabeth"	0.0708511
Easton	0.0707196
Riverdale	0.0703291
Poughkeepsie	0.0698949
Jamestown	0.0698298
Vladikavkaz	0.0697101
Nazareth	0.0694053
Tachilek	0.069279
Wolfsburg	0.0690491
Adana	0.0690068
Acapulco	0.0689523
Naperville	0.0686984
Woodbridge	0.0685513
Londonderry	0.06828
Junik	0.0681649
Arua	0.0680893
Brcko	0.0679804
"San Pedro Sula"	0.0678661
Tijuana	0.0678594
Bethlehem	0.0677789
Bailundo	0.0676454
Vavuniya	0.0671189
Eureka	0.0669944
Carrollton	0.0665127
Mbarara	0.0662752
Ur	0.0660989
Eilat	0.0660341
Taba	0.0658665
Bulawayo	0.0657373
Jaffna	0.0657245
Multan	0.0655357
Casas	0.0650747
Vojvodina	0.065046
Weimar	0.064942
Assisi	0.0647947
Malaga	0.0647344
Decani	0.064376
Oro	0.064179
Jenin	0.063665
Bogor	0.0635845
Peterborough	0.0635708
Soweto	0.0632033
Portsmouth	0.0630775
Batticaloa	0.0630574
Chester	0.0630461
Basra	0.0629733
Orleans	0.0629731
"San Cristobal"	0.0628941
Charleroi	0.0626159
Djakovica	0.0620899
Ceyhan	0.0620546
"Quezon City"	0.0618578
Ballymoney	0.0615968
Kukes	0.0613792
Chappaqua	0.0611434
Jezzine	0.0610648
Pompeii	0.0610226
Pittsfield	0.0609356
Odessa	0.0608849
Khost	0.0605743
Mbale	0.0604738
Ismailia	0.0604023
Trieste	0.060375
Luxor	0.0603323
"East Orange"	0.0602875
Kasese	0.0602802
Oxnard	0.0602764
Carthage	0.0602471
McAllen	0.0602196
"Saratoga Springs"	0.0598078
Sochi	0.0597077
Rennes	0.0596915
Toluca	0.0595711
Clifton	0.0594012
Pamplona	0.0594011
Jericho	0.0592642
Strasbourg	0.059135
))
(cacao (desc 1297.72) (sims
"cashew nut"	0.165365
cocoa	0.155018
"sugar cane"	0.154214
"oil palm"	0.148188
sugarcane	0.121718
groundnut	0.121545
cashew	0.12152
"palm oil"	0.116652
Yucca	0.112965
sisal	0.111366
barley	0.109561
"cane sugar"	0.105673
Tamarind	0.102981
"sugar beet"	0.100969
vanilla	0.0925177
cassava	0.0921471
Mulberry	0.0916915
eucalyptus	0.0914421
"soya bean"	0.0882701
coca	0.0879832
poppy	0.0866432
tapioca	0.0853186
coconut	0.0828685
GUAVA	0.0823443
CPO	0.081812
sorghum	0.0810232
mango	0.0810209
Cognac	0.0806002
soybean	0.0799711
gingko	0.0795184
newsprint	0.0792521
soya	0.0774248
"hot chocolate"	0.0743449
"macadamia nut"	0.0742755
Burley	0.0729441
lysine	0.0728548
"egg yolk"	0.0726517
espresso	0.0722248
litchi	0.0721235
sesame	0.0717121
jute	0.0700779
cranberry	0.0695937
paddy	0.0690982
"California wine"	0.0687329
bhang	0.0684421
"cranberry juice"	0.0672808
horticulture	0.0672629
croissant	0.0670843
sleepovers	0.0669871
ethanol	0.0667298
plantain	0.0655005
grapefruit	0.0654439
"corn syrup"	0.0653321
persimmon	0.0645674
ginkgo	0.06427
"orange juice"	0.0636799
pecan	0.0634865
papaya	0.0625195
"maple syrup"	0.0623712
tangerine	0.0615907
poultry	0.0615094
methanol	0.0615063
"black tea"	0.0611222
melon	0.0606059
LNG	0.0602727
Mesquite	0.0596205
beech	0.0596007
"cooking oil"	0.0593748
ginseng	0.0590073
"vegetable oil"	0.058962
bourbon	0.0583353
almond	0.0577679
"canned food"	0.0575503
camellia	0.0573347
molasses	0.0572892
"wheat flour"	0.0564211
flax	0.0560574
"sparkling wine"	0.0560077
lentil	0.0552169
smallholder	0.0550686
"mineral water"	0.0550517
"citrus fruit"	0.0548246
cellulose	0.0543044
MOCHA	0.053881
blueberry	0.053877
POTASH	0.0536977
"coconut oil"	0.0530558
cardamom	0.0530441
hemp	0.0527681
"Costa Rican"	0.0514664
perigee	0.0510365
"alcoholic beverage"	0.0506776
dairy	0.0501591
VCD	0.0499702
rapeseed	0.0498221
sunflower	0.0496824
"sunflower seed"	0.0491318
alfalfa	0.0491269
Hawthorn	0.0490233
"Bordeaux wine"	0.0489646
Kool-Aid	0.0484187
teak	0.0483564
watermelon	0.048337
"frozen food"	0.0471786
honeysuckle	0.0465677
"iron ore"	0.0465557
starch	0.0456637
pompadour	0.0456398
Wisteria	0.0455131
"reddish brown"	0.0452885
creme	0.0452756
Milkweed	0.0452376
"citric acid"	0.0448133
"powdered milk"	0.0446458
pomegranate	0.0446097
raisin	0.0444503
canola	0.0440052
Bruijn	0.0438979
Brasil	0.0438306
"fish meal"	0.0438278
"fruit juice"	0.0437022
hazelnut	0.0427864
Hemlock	0.0427496
khat	0.0426706
Sequoia	0.0426272
Quince	0.0424534
"Norman Lear"	0.0422585
oilseed	0.0416155
phosphate	0.0415148
"ownership stake"	0.0414416
Oro	0.0413839
"bay leaf"	0.0413373
ripening	0.0412402
knitwear	0.0411756
"orange peel"	0.0411165
bauxite	0.0410069
"ponderosa pine"	0.0409886
"Petroleum Exporting Countries"	0.0408537
"food grain"	0.0408502
VC	0.0408476
"opium poppy"	0.0406377
jewellery	0.0402592
liqueur	0.0402557
"income bracket"	0.0400867
))
(cache (desc 16515.7) (sims
stash	0.170139
trove	0.137273
stockpile	0.115399
hoard	0.1099
quantity	0.10736
"three tons"	0.106676
"more than @@@ tons"	0.0997714
dumps	0.0902762
"one kilogram"	0.0899043
haul	0.087298
lode	0.0864906
"two tons"	0.0859345
"about @@ tons"	0.0856353
"over @@@ tons"	0.0839298
"explosive device"	0.0836603
consignment	0.0834665
"treasure trove"	0.079996
"more than @@ tons"	0.0793351
treasure	0.0741852
ton	0.0738379
truckload	0.0722403
"pipe bomb"	0.0720264
possession	0.0716268
shipment	0.071126
ammunition	0.0691373
Arsenal	0.0681861
"more than @,@@@ tons"	0.0681658
"more than @@@ pounds"	0.0675046
storage	0.0671697
assortment	0.0668654
stack	0.0665869
storehouse	0.066585
collection	0.0664498
explosive	0.0658096
packet	0.0657781
fragment	0.0656741
depot	0.0656113
contraband	0.0656082
"five kilograms"	0.0647335
"two boxes"	0.0644741
archive	0.0643882
crate	0.0641267
finds	0.063836
weaponry	0.0633761
batch	0.0630864
"six tons"	0.0628922
"about @@@ tons"	0.0628813
smuggling	0.0626918
weapon	0.0626818
pile	0.0623174
parcel	0.0622864
bundle	0.0604191
theft	0.0602694
"accounting problem"	0.0601414
Kilogram	0.0601092
artifact	0.0599672
"heavy weapon"	0.0597192
wealth	0.059698
amount	0.0595021
firearm	0.0592178
"large number"	0.0590621
"dead body"	0.0585166
fossil	0.0583628
container	0.0578599
casing	0.057685
cartridge	0.0575733
suitcase	0.0567606
vial	0.0556349
"five tons"	0.0555769
importation	0.0553033
array	0.0551608
skeleton	0.0540183
bag	0.0539897
Warehouse	0.0539642
database	0.0538889
relic	0.0538753
"burial site"	0.0526596
purchaser	0.0520389
detonation	0.0519971
inventory	0.0517314
"black box"	0.0515411
"about @@@ pounds"	0.0514687
armory	0.0513664
reservoir	0.0511677
cargo	0.0511628
seizure	0.0511021
transmitter	0.0509725
confiscation	0.0504108
"hand grenade"	0.0503534
hideout	0.0500323
chunk	0.0499338
meteorite	0.0495661
satchel	0.0495251
repository	0.0495231
possessor	0.0494992
landmines	0.0487904
piles	0.0486514
"slush fund"	0.0483589
discovery	0.0482925
detonator	0.0482733
"about @,@@@ tons"	0.0480593
"nest egg"	0.0479186
munition	0.0478302
retrieval	0.047443
bunker	0.0472
sheaf	0.0471751
"war chest"	0.0468946
"computer file"	0.046893
artwork	0.0466557
"bank account"	0.0465921
"sum of money"	0.0465896
component	0.0465791
panoply	0.0465129
importing	0.0464176
supplier	0.0464154
warhead	0.0462061
password	0.0461725
provenance	0.0461134
specimen	0.0459088
rifle	0.04587
authorship	0.0458252
Grenade	0.0457952
trafficking	0.0457441
fresco	0.0457146
cave	0.0455621
nest	0.0455585
Proliferation	0.0455458
"hard disk"	0.0454765
kiln	0.0453486
pistol	0.0453324
"art collection"	0.0452385
tank	0.0450705
processor	0.0450518
cannon	0.0450193
flaw	0.0450057
excavation	0.0449441
"computer code"	0.0449179
ream	0.0449108
tomb	0.044866
"Pentium II"	0.0448104
belonging	0.0448045
"duffel bag"	0.0448042
launcher	0.0448037
remains	0.0447416
"land mine"	0.0447385
"car bomb"	0.0445627
payload	0.0444894
corps	0.0441246
tablet	0.0441231
BIOS	0.043896
handgun	0.0438609
fingerprint	0.0436848
boatload	0.0436569
authenticity	0.0436351
distributor	0.0435867
origin	0.0435808
folder	0.0435489
jumble	0.0431451
dossier	0.0431406
ordnance	0.043025
backlog	0.0430142
fistful	0.0429005
disk	0.042739
abundance	0.0427063
sample	0.0425841
wad	0.0424808
lump	0.0424075
directory	0.0423854
graveyard	0.0423454
"more than @@,@@@ tons"	0.0423087
shard	0.0422918
paraphernalia	0.0422702
silo	0.0422067
cocaine	0.0421846
sarcophagus	0.0421787
Grave	0.0421139
font	0.0421031
"machine gun"	0.0420335
revolver	0.0419882
kg	0.0419694
capability	0.0419491
herd	0.0418755
depository	0.0418595
distribution	0.041847
"storage area"	0.0417596
declassification	0.041747
"drawing power"	0.0415105
antiquity	0.0415066
corpse	0.041343
"rocket launcher"	0.0412695
concentration	0.0412349
heroin	0.0412054
cachet	0.0411555
stowaway	0.0411524
"time bomb"	0.0411228
influx	0.0410227
mortar	0.0408781
installation	0.0408595
pot	0.0408511
wallet	0.0407747
))
(cachet (desc 9645.5) (sims
oomph	0.108202
resonance	0.0949687
clout	0.0946276
pizazz	0.0941316
heft	0.0921474
prestige	0.0902799
luster	0.0882131
credibility	0.0862057
notoriety	0.0819898
aura	0.0808538
glamour	0.0794875
respectability	0.0782499
stature	0.078045
patina	0.0778065
"sex appeal"	0.0770375
MYSTIQUE	0.0763778
poignancy	0.0754406
explosiveness	0.0738989
"staying power"	0.0733159
"peace of mind"	0.0731652
glamor	0.0724209
charm	0.0720542
allure	0.0715268
charisma	0.0713901
popularity	0.0713478
"elbow room"	0.0706326
reputation	0.0704288
sophistication	0.0698479
gravitas	0.0688516
spunk	0.0686917
potency	0.0686281
renown	0.0685431
Panache	0.0684827
self-confidence	0.0670508
vitality	0.0669091
leverage	0.0668151
uniqueness	0.0661215
legitimacy	0.065221
rapport	0.0644895
coherence	0.0643543
richness	0.0641118
swagger	0.0637226
pedigree	0.0630218
expertise	0.0625009
talent	0.0623434
Zing	0.0621382
recognition	0.0618121
buzz	0.0617837
dignity	0.0616364
"drawing power"	0.0614776
vibrancy	0.0612547
urgency	0.0611175
versatility	0.0610975
flair	0.0610398
excitement	0.0609033
vigor	0.0606777
horsepower	0.0604069
perk	0.0603666
subtlety	0.0602764
flavor	0.0599995
wallop	0.0594446
"legal status"	0.0593004
"sense of purpose"	0.0592804
immediacy	0.0591151
purity	0.0591088
verisimilitude	0.0588057
dynamism	0.0584363
authenticity	0.058427
"competitive advantage"	0.0584251
grit	0.0583005
"economies of scale"	0.0580677
acumen	0.0579953
fame	0.0578447
velocity	0.0577526
glitz	0.0575635
prominence	0.0573549
"creature comforts"	0.0573134
individuality	0.057116
"breathing room"	0.057109
familiarity	0.0571025
acclaim	0.0570367
verve	0.0569969
wattage	0.0569646
credence	0.0562732
cockiness	0.05624
camaraderie	0.0561766
accoutrement	0.055846
gloss	0.0557889
intangible	0.0555103
"market share"	0.0554871
"shelf life"	0.0554397
fizz	0.0553773
buoyancy	0.0553305
composure	0.0553233
sparkle	0.0550342
spontaneity	0.0550097
elegance	0.0548794
mobility	0.0548357
"tax advantage"	0.0548127
depth	0.0547911
self-respect	0.0546635
quickness	0.0546017
dimension	0.0539322
stamina	0.0536079
firepower	0.0535859
wealth	0.0535185
visibility	0.0534382
magic	0.0531914
"sense of direction"	0.0531615
intimacy	0.0531427
beauty	0.0530988
glitter	0.0530087
warmth	0.0528973
significance	0.0528034
glory	0.0527709
cohesion	0.0527708
simplicity	0.0526251
glow	0.0524548
reverence	0.0523368
intensity	0.0522561
Leeway	0.052247
sharpness	0.0522426
flexibility	0.0521374
freshness	0.0521024
self-esteem	0.0520758
sensibility	0.0519747
crispness	0.0519012
competence	0.0518789
"public trust"	0.0518495
trait	0.0518438
identity	0.0517445
credential	0.0517095
clarity	0.0516642
heritage	0.051615
imprimatur	0.0514453
riches	0.0514184
freebies	0.0514169
eloquence	0.0513212
wherewithal	0.0511614
self-control	0.0509593
"safety feature"	0.0509177
sobriquet	0.0509064
grandeur	0.0507794
seniority	0.0506995
sweetness	0.0506841
connotation	0.0506521
graciousness	0.0505943
enthusiasm	0.0505775
semblance	0.0504909
ballast	0.0504573
liquidity	0.0504388
ambiance	0.0503652
amenity	0.0502529
uneasiness	0.0502526
"seal of approval"	0.0501985
zip	0.0501435
courage	0.0500352
distinctiveness	0.050032
professionalism	0.0499676
"legal right"	0.0499379
breadth	0.0496727
stigma	0.0496463
meaning	0.0493859
synergy	0.0493826
cohesiveness	0.0493379
toughness	0.0493193
capability	0.0492308
pathos	0.0490816
radiance	0.048846
"social status"	0.0487833
softness	0.0487439
"sense of humor"	0.048706
novelty	0.048657
passion	0.0486531
ferment	0.0485779
highflier	0.0485115
distinction	0.0484794
complexity	0.0484575
ambience	0.0481006
humility	0.0480805
self-discipline	0.0480429
bustle	0.0479898
diversity	0.0478617
silliness	0.0478315
impetus	0.0477773
empathy	0.0477754
savvy	0.0477285
functionality	0.0476978
continuity	0.0476342
"leisure time"	0.0475663
aggressiveness	0.0475138
"sense of balance"	0.047431
"tax benefit"	0.0472653
pretension	0.0471877
toehold	0.0471224
"clean slate"	0.0471149
maturity	0.0469726
originality	0.04697
"goose bumps"	0.0468999
"free time"	0.0467849
))
(cackle (desc 1302.77) (sims
squeal	0.130964
squeak	0.116795
giggle	0.106359
shriek	0.0919447
squawk	0.0904373
paroxysm	0.0884195
screech	0.0863518
yelp	0.0857885
beep	0.0821347
whine	0.0809963
exclamation	0.0692063
sneeze	0.0614445
screeching	0.0603042
guffaw	0.0580673
feistiness	0.0572901
rasp	0.0572496
"sonic boom"	0.0571848
go-round	0.0566628
frisson	0.0566619
fusillade	0.0555536
pandemonium	0.0554085
rumblings	0.0545303
"hue and cry"	0.0535463
neurosis	0.0527467
glint	0.0508539
gaggle	0.0500469
"joie de vivre"	0.049803
"trump card"	0.0494834
thousandth	0.0485555
comeuppance	0.0485332
singsong	0.0481982
defensiveness	0.0481657
thud	0.0479566
"word of advice"	0.0478757
whimper	0.0475627
cockiness	0.0475219
diatribe	0.047085
"day game"	0.0467037
send-off	0.0463189
"marriage proposal"	0.0462269
"cash crunch"	0.0458518
screamer	0.0458048
twang	0.0457321
stanza	0.0455421
hiccup	0.0453452
metronome	0.0452541
monotone	0.0446654
cacophony	0.0446375
"curtain call"	0.0443854
"ski race"	0.0441245
"video recording"	0.0440646
"good word"	0.0439656
Mulligan	0.0429798
self-deprecation	0.0418907
ardor	0.0417975
salutation	0.0417016
"great deal"	0.0408057
"off-speed pitch"	0.0407515
Archaeopteryx	0.0406005
idolatry	0.0401172
))
(cacophony (desc 6613.43) (sims
Din	0.0877182
ringing	0.0839509
chorus	0.0829742
hum	0.0825444
shriek	0.0813843
crescendo	0.0794626
wail	0.0774755
earful	0.0710014
drumbeat	0.0703696
noise	0.0698259
welter	0.065718
screech	0.0622948
torrent	0.0606892
clamor	0.0585655
murmur	0.0569975
squeak	0.0565402
jumble	0.0555578
beep	0.0544521
barrage	0.0532716
squeal	0.0532128
howl	0.051732
immediacy	0.0512124
firestorm	0.0508312
rasp	0.0507351
outburst	0.0499452
laughter	0.0493541
"car horn"	0.0488382
flurry	0.048466
craziness	0.0476523
blending	0.0469154
tumult	0.0467229
panoply	0.0464685
spectacle	0.0463914
misperception	0.0461825
melding	0.0458798
outpouring	0.0458079
cascade	0.0446578
"tidal wave"	0.0445003
fusillade	0.0444653
gist	0.0443889
whine	0.0437593
volley	0.0435646
Convergence	0.0433974
hubbub	0.0433883
thunder	0.0433124
groundswell	0.0430992
litany	0.0430071
timbre	0.0429337
applause	0.042368
premonition	0.0420577
onslaught	0.0418286
smattering	0.041411
confluence	0.0413404
kaleidoscope	0.0410006
collage	0.0409137
"background noise"	0.0401694
snippet	0.0401304
"church bell"	0.0400913
))
(cacti (desc 1327.37) (sims
cactus	0.120083
succulent	0.0844306
honeysuckle	0.0750827
fern	0.0742872
"prickly pear"	0.0712586
shrub	0.0661826
weeds	0.0644984
fescue	0.0615756
Yucca	0.0612808
cypress	0.0608328
ginkgo	0.0607352
azalea	0.0606528
orchid	0.0604651
chrysanthemum	0.0591703
geranium	0.0583757
"live oak"	0.0576987
bougainvillea	0.0575168
"flowering plant"	0.0543052
"religious service"	0.053115
spruce	0.0509004
undergrowth	0.0505458
oleander	0.0502551
urn	0.0501929
cottonwood	0.0489641
plantain	0.0482365
shrubbery	0.0479799
Hawaiians	0.0478914
"breathing space"	0.0459504
sagebrush	0.0444322
macaroni	0.0442244
transnationals	0.0440006
Vermonter	0.0434299
poinsettia	0.0433925
fishbowl	0.0431342
junkyard	0.0425283
dogwood	0.0424733
persimmon	0.0424712
Minnesotan	0.0422211
snowman	0.0419347
serpent	0.0414705
feline	0.0410154
mallard	0.0407134
kitchenette	0.0404694
"flower arrangement"	0.040229
"subatomic particle"	0.0400928
))
(cactus (desc 8805.36) (sims
cacti	0.120083
orchid	0.114218
hibiscus	0.113693
"prickly pear"	0.110961
azalea	0.110288
fern	0.0994236
Milkweed	0.0982944
peony	0.097485
cypress	0.0953554
eucalyptus	0.0952256
bougainvillea	0.0951862
shrub	0.0944021
amaryllis	0.0910907
bamboo	0.0908735
agave	0.0897183
perennial	0.0896997
tree	0.0876685
tulip	0.0869235
fir	0.0867497
pine	0.085354
wildflower	0.0849703
geranium	0.0844551
poplar	0.0834997
cedar	0.0814854
Wisteria	0.0795442
Conifer	0.0781359
grass	0.075513
ginkgo	0.0746675
vine	0.0726656
herb	0.0726016
flower	0.0719707
Oak	0.0718634
ragweed	0.071723
Lotus	0.0708847
pomegranate	0.0705974
mango	0.0702693
seaweed	0.0701241
camellia	0.0693006
poppy	0.0685112
redwood	0.0684859
melon	0.068337
cottonwood	0.068146
vegetation	0.0677648
rhododendron	0.0675554
sumac	0.0659442
lavender	0.0656119
Juniper	0.0649018
hydrangea	0.0645844
Magnolia	0.0640597
prune	0.063862
poinsettia	0.0636247
dogwood	0.0634554
chrysanthemum	0.0634005
Yucca	0.0626844
willow	0.0625784
sagebrush	0.0625399
Maple	0.0624102
waterlily	0.0618799
"live oak"	0.0616713
evergreen	0.0615074
sunflower	0.0603474
plum	0.0601945
algae	0.0593874
watermelon	0.0592093
zucchini	0.0588138
boxwood	0.0587309
lily	0.0581056
weed	0.0577865
hickory	0.057583
Tamarind	0.0573685
topiary	0.0572465
Viburnum	0.057069
peach	0.0568552
"ponderosa pine"	0.0568043
beech	0.0565531
sapling	0.0564821
"passion fruit"	0.0563
oleander	0.0562205
coconut	0.0560642
seedling	0.0557093
blueberry	0.0551635
coca	0.0551482
mushroom	0.0546749
fig	0.0542061
Birch	0.0533889
Sequoia	0.0529605
grape	0.052858
bramble	0.0526575
ivy	0.052576
persimmon	0.0523634
"douglas fir"	0.0521213
apricot	0.051965
fungus	0.0517998
palm	0.0516414
Elm	0.0515326
pineapple	0.0510916
carnation	0.0510878
dandelion	0.0510817
papaya	0.0510808
"sugar cane"	0.0509859
"flower garden"	0.0508623
houseplant	0.0507919
spruce	0.0504509
succulent	0.0503726
"white pine"	0.0500632
tomato	0.0499798
daffodil	0.0497486
eggplant	0.0497147
"marine animal"	0.049696
gingko	0.0496847
clematis	0.0493798
Lantana	0.0488897
hothouse	0.0488172
pumpkin	0.0483358
kelp	0.0482471
hyacinth	0.0480139
snowman	0.0477915
"pine cone"	0.0475867
carrot	0.0473123
lemon	0.0471343
honeysuckle	0.0470808
acorn	0.0468461
fungi	0.0468106
corn	0.0466087
grassland	0.0465471
"opium poppy"	0.0463704
lawn	0.0462867
sunsets	0.0462412
plankton	0.0461246
hosta	0.0459707
fuchsia	0.0456105
"flowering plant"	0.0454809
Cherry	0.0453007
kudzu	0.0452394
blackberry	0.04512
bulb	0.0450399
Garlic	0.0448069
berry	0.0446592
onion	0.0445518
echinacea	0.0444136
Tuber	0.044397
Sycamore	0.0443309
mollusk	0.0442037
crocodile	0.0442036
meadow	0.044107
holly	0.0440402
mangrove	0.0439525
pear	0.043702
Yew	0.0436981
Grove	0.0436842
crustacean	0.043665
banana	0.0436534
RHUBARB	0.0436009
heirloom	0.0435718
"ground cover"	0.0435232
seashell	0.0434643
Mesquite	0.0433918
artichoke	0.0433858
hummingbird	0.0433837
lilac	0.0432837
pasture	0.043087
plantain	0.0430127
hardwood	0.0430047
rosemary	0.0429284
alligator	0.0428949
"sand dune"	0.0428866
grapefruit	0.0428576
licorice	0.0427903
iguana	0.0427628
wildlife	0.0427381
pansy	0.0427286
cabbage	0.0426617
tumbleweed	0.0422268
foliage	0.0421275
bean	0.042039
Quince	0.0418838
jasmine	0.041853
morel	0.0418104
mahogany	0.0415802
gravel	0.0414664
woodland	0.0413731
spider	0.0413546
insect	0.0413527
veggie	0.0412382
canyon	0.0410586
orchard	0.0410306
"hot pepper"	0.0409783
citrus	0.0409085
Daisy	0.0407757
pecan	0.0407035
marigold	0.0405612
grub	0.0405464
lime	0.0405382
crocus	0.0404909
waterfall	0.040177
tarpon	0.0401483
strawberry	0.0401449
))
("Cactus League" (desc 849.264) (sims
CWS	0.147943
interleague	0.130987
"Western Athletic Conference"	0.123118
"first seven"	0.118187
"first nine"	0.117843
subpar	0.11366
"first eight"	0.112273
"little league"	0.110668
nonconference	0.105554
"International League"	0.105238
"Big Sky Conference"	0.104427
sub-par	0.100791
"Atlantic Coast Conference"	0.100693
C-USA	0.10005
"Red Star"	0.0924679
"next six"	0.0900917
"Division I-AA"	0.0874979
rotisserie	0.0871172
Pacific-@@	0.0868345
gamecock	0.0857453
"Les Bleus"	0.085455
"World Championship"	0.08355
"first six"	0.0831522
"Italian Cup"	0.0819377
"Negro Leagues"	0.0816146
"Southeastern Conference"	0.0809282
Safeco	0.0802611
"Sydney Olympic"	0.0786809
"Big East"	0.0784644
Springbok	0.0783031
two-point	0.0778074
up-and-down	0.0775789
gopher	0.0772014
"first four"	0.0761846
"Fighting Irish"	0.0755633
"Conference USA"	0.0752766
"first three"	0.0750883
four-point	0.0744921
"over six"	0.0740434
ACC	0.073918
"League Cup"	0.072575
"big league"	0.0723305
AFL	0.0720767
ABL	0.0716848
"first @@@"	0.0714029
UAB	0.0702878
multiplayer	0.0699871
"Big West"	0.0695521
parimutuel	0.069014
"next @@"	0.0687553
terrapin	0.0684793
"European Champions League"	0.0683428
"next five"	0.0674671
varsity	0.0662378
"next three"	0.0661903
"drug business"	0.0661888
"Solheim Cup"	0.0658906
"won seven"	0.0654863
"Federation Cup"	0.0652669
"Arena Football League"	0.0652591
"Appalachian State"	0.0651598
"NBA All-Star"	0.065149
WAC	0.064654
ml	0.0645703
Bundesliga	0.0643348
"Pan Ams"	0.0641477
"other nine"	0.0640262
NLCS	0.0638762
"Little League World Series"	0.06357
"AFC Central"	0.0634354
ALCS	0.0633183
"New York Yankee"	0.0631912
"extra inning"	0.0631243
"more than eight"	0.0629456
punting	0.0625558
"Texas longhorn"	0.0622525
UTEP	0.0621668
"first @@"	0.0620771
PSG	0.0618605
riverfront	0.0616569
"three-day event"	0.060765
three-point	0.0602381
"Confederations Cup"	0.0596635
"Expo @@@@"	0.059383
roleplaying	0.0591839
"Champions League"	0.059
"City Opera"	0.0588167
"next four"	0.0584347
on-campus	0.058265
"Cup Winners Cup"	0.0580944
"Champions Cup"	0.0580638
"first five"	0.0580502
"won nine"	0.0579178
Mavs	0.0575493
lemming	0.0568025
magpie	0.0566527
Powerball	0.0565142
"Big Sky"	0.0561074
"West Regional"	0.055829
sixer	0.0554541
"Italian League"	0.055316
one-point	0.0551571
WCC	0.0549647
"professional baseball"	0.0548333
"Group @"	0.0547378
"Brooklyn Dodgers"	0.0545109
"Indy Racing League"	0.0544536
N@@	0.0544029
Baccarat	0.0544
"CHARLOTTE STING"	0.0543742
"World League"	0.0543294
"National Hockey League"	0.0542311
"Canadian Alliance"	0.0541777
"American football"	0.0537133
IRL	0.0535563
"Busch Grand National"	0.0527964
"Pacific Coast League"	0.0526539
"fifth and sixth"	0.0526227
"Gold Cup"	0.0525331
"Chinese Army"	0.0523519
Zhongguancun	0.0520872
"won four"	0.0517735
"Fed Cup"	0.0517245
"sixth and seventh"	0.0516779
"first overtime"	0.0515471
Motorsports	0.0515039
Rattler	0.0514352
Ironman	0.0514251
GSP	0.0512581
ELEVENTH	0.0511338
Gilead	0.0509345
"Washington Mystics"	0.0509032
"Premier League"	0.0507424
skateboard	0.0505313
"Busch Series"	0.0504818
"English Premier League"	0.0503169
"won six"	0.0502948
globetrotter	0.0500128
primetime	0.049997
PAOK	0.0499444
raceway	0.0496541
uptempo	0.0493026
topspin	0.0487465
"American Legion"	0.0487192
"Sea World"	0.0486422
NHRA	0.0485588
"South Regional"	0.0484843
Shockwave	0.0484664
midstream	0.0484148
"UEFA Cup"	0.0483622
inbounds	0.0483166
thrasher	0.048309
bobsled	0.0481636
HomeGrocer.com	0.0480448
"Canadian Football League"	0.0480241
"Pakistan People's Party"	0.047995
"Midwest Regional"	0.0479823
"X Games"	0.047978
FloJo	0.04787
"eight to @@"	0.0477762
"Horned Frogs"	0.0474641
"College World Series"	0.0474379
helluva	0.0473142
Pitt	0.0471528
Freaknik	0.0470909
halfcourt	0.0469899
Utes	0.0469159
"Nevada-Las Vegas"	0.0468829
emachines	0.0468726
Medtronic	0.0468215
JetBlue	0.0468113
Wolverine	0.0468081
"AFC East"	0.0467801
"professional basketball"	0.0467651
peewee	0.0466759
"Special Olympics"	0.0466142
"Arizona Diamondbacks"	0.0465644
A.L.	0.0464579
PSE	0.0463826
"won eight"	0.0463791
"National League West"	0.046379
XFL	0.0463688
"ski jump"	0.0462057
shoot-'em-up	0.0461854
corinthian	0.0460513
Midler	0.0459374
RV	0.0457944
snooker	0.0457933
"Ivy League"	0.0457838
"Phoenix Mercury"	0.0456631
K-State	0.0456379
koala	0.0455306
Inman	0.0455001
"Rwandan Patriotic Front"	0.0454727
"NFC East"	0.045324
"standing room"	0.0452658
oceanside	0.0452263
"Tennessee Williams"	0.0451272
"Sunshine State"	0.0450476
"Peach Bowl"	0.0450124
))
(CAD (desc 3216.81) (sims
filtering	0.0951999
videophone	0.0930131
CDMA	0.0911903
telemedicine	0.0873546
emulation	0.0846599
NSP	0.0802936
Gnutella	0.0771042
multimedia	0.0766234
visualization	0.0764203
"artificial intelligence"	0.0756688
BLUETOOTH	0.0751141
sensing	0.074132
"inventory control"	0.0715984
IC	0.0712914
avionics	0.0697394
GPS	0.0695504
"draft dodger"	0.0691023
agro-technology	0.0688623
emulator	0.0684606
E-ZPass	0.0680913
"Windows @.@"	0.0680886
"Windows CE"	0.0660758
automation	0.0652987
imaging	0.0645288
bioengineering	0.0644686
compression	0.0643677
rascal	0.0629062
Encryption	0.0626468
SDH	0.062182
mainframe	0.0612111
"computer graphics"	0.061037
Philanderer	0.06046
intranet	0.0601142
"weather forecasting"	0.0600579
fount	0.0597357
WAP	0.0591183
"fire control"	0.0590828
"global positioning system"	0.0590116
agro-techniques	0.0587362
sociopath	0.0586985
defoliant	0.0586244
telephony	0.0584951
Quicktime	0.0584642
"genetic engineering"	0.0574
womanizer	0.0573113
"solar energy"	0.05701
"neutron bomb"	0.0568892
FireWire	0.0567712
cipher	0.0566951
agronomy	0.0564434
scoundrel	0.056225
mapping	0.0560936
rogue	0.0560694
ICQ	0.0558786
Internet@	0.055858
fingerprinting	0.0556616
liar	0.055157
dictation	0.0550315
"Microsoft Windows"	0.0547566
dilettante	0.0544546
DOS	0.054097
WordPerfect	0.053441
ultrasound	0.0534403
networking	0.0528227
GSM	0.0522171
"computer technology"	0.0522001
"Windows Media Player"	0.052067
"Microsoft Office"	0.0519061
"computer language"	0.0518593
"weapon system"	0.0517672
"scientific method"	0.0517505
ecotourism	0.0515723
"word processing"	0.0515298
OS/@	0.0514818
THAAD	0.0514447
synchronization	0.0513278
personalization	0.0512725
Filtration	0.0511614
"night vision"	0.0511237
"public transit"	0.0507699
optic	0.0506668
"nuclear energy"	0.0506371
whiner	0.049892
TMD	0.0496832
Unix	0.0494128
"mainframe computer"	0.0493375
endoscope	0.0493287
ergonomics	0.0491296
carnivore	0.0490845
"coal gas"	0.0490731
triangulation	0.048939
"traveling salesman"	0.0489159
modeling	0.0488612
simulation	0.048793
"numbers game"	0.0487627
Shockwave	0.048668
"fuel cell"	0.0486556
blackmailer	0.0484048
bastard	0.0483904
"local area network"	0.0482336
"Real Networks"	0.0481915
buffoon	0.0480905
"back office"	0.047936
schemer	0.0478728
BoT	0.0478404
Gi	0.0478184
nonentity	0.0478103
armament	0.0477629
identifier	0.0476844
"cutting edge"	0.0476353
"Joint Strike Fighter"	0.047467
firewall	0.0471745
"quantum theory"	0.047141
NMD	0.0471366
XML	0.0471118
GSP	0.0470746
"optical fiber"	0.0467818
"point system"	0.0467805
"Windows NT"	0.0464367
lunatic	0.0463595
slut	0.0463063
"scoring system"	0.0461234
Solaris	0.0460445
"Outlook Express"	0.0459246
"biological warfare"	0.0457608
"motor oil"	0.0456795
"battering ram"	0.0456317
communicator	0.0455102
WebTV	0.0454845
shareware	0.0453933
Spyglass	0.0451271
"artificial insemination"	0.045081
"Vision @@@@"	0.0447465
ADSL	0.0447258
"atomic energy"	0.0447073
Photoshop	0.0446164
"prima donna"	0.0445825
"role player"	0.0445508
nt	0.0444893
"Trojan Horse"	0.0444658
sealant	0.044369
e-business	0.0443642
mammography	0.0440469
biotechnology	0.043969
broadband	0.0439026
Macintosh	0.043788
sonar	0.0436488
Stratus	0.0435453
handheld	0.0434271
"spy satellite"	0.0432829
Multistate	0.0431666
"Windows @@@@"	0.0431355
"computer network"	0.0431174
"information system"	0.0430102
Os	0.0429948
"trump card"	0.0429366
"computer application"	0.0428851
"social insurance"	0.0428742
"con artist"	0.0426795
RealPlayer	0.0425734
crook	0.0424817
"good Samaritan"	0.0424458
"soil conservation"	0.0424397
"radio frequency"	0.0424236
collaborative	0.042345
prankster	0.0422784
swashbuckler	0.0422149
carpetbagger	0.0420782
"weather satellite"	0.0420067
minstrel	0.0420011
"user interface"	0.0418596
spaceflight	0.0417365
triage	0.0417046
Starfish	0.0416898
AWACS	0.041688
weaponization	0.0416479
"safety feature"	0.0415662
"teaching method"	0.0415116
"Office @@@@"	0.0413559
E-Stamp	0.0413238
cryptography	0.0413224
decoding	0.0412958
SETI	0.041267
"vocational education"	0.0410614
remediation	0.0410382
nunnery	0.0409897
opportunist	0.0409688
MSC	0.0409357
"electronic device"	0.0409045
refrigeration	0.0408096
authentication	0.0406248
"garbage disposal"	0.040613
miniaturization	0.0405842
psychopath	0.0405111
manipulator	0.0405023
retrieval	0.0404729
wonk	0.0404151
"solar power"	0.0403487
"big leaguer"	0.0403064
bailiff	0.0402699
))
(Cadaret (desc 1175.19) (sims
Hasegawa	0.249337
Percival	0.171343
Holtz	0.16123
Olivares	0.125788
Walbeck	0.121302
Washburn	0.0976134
Nevin	0.0942329
Cormier	0.0926586
"Tim Hudson"	0.0853858
Seanez	0.0822858
Mahomes	0.0792266
Velarde	0.0783494
Checo	0.0777567
Orosco	0.077433
Mantei	0.0721176
Wickman	0.0719224
"Shigetoshi Hasegawa"	0.0715564
"Paul Justin"	0.0711356
Mulholland	0.0702183
"Mike Holtz"	0.0700439
McDOWELL	0.0693055
Embree	0.0669455
Brantley	0.0664404
Burba	0.0650083
"Steve Sparks"	0.0640225
Halama	0.0630985
McMichael	0.0618735
Wetteland	0.0608891
Pickens	0.0592631
Eldred	0.0589075
Herges	0.0587177
"Jarrod Washburn"	0.0587015
"Jason McDonald"	0.0578424
Nen	0.0577939
Petkovsek	0.0575006
Heredia	0.0569245
Sato	0.0566292
"Ken Hill"	0.0565807
Sasaki	0.0564932
Chappell	0.0557861
Rincon	0.0557209
Charlton	0.0552299
Yarnall	0.0549377
Hollandsworth	0.0545181
Colbert	0.0545037
Irvan	0.0544228
"Bobby Rahal"	0.0530811
"Kent Bottenfield"	0.0527713
"Scott Karl"	0.0527289
Helling	0.0526999
Tomko	0.052542
Okada	0.0525219
Rusch	0.0523566
Hudek	0.0522219
Newsome	0.0521157
Rueter	0.0520385
Osuna	0.0515808
Suppan	0.0513816
Wohlers	0.0511554
Timlin	0.0510365
Corsi	0.0509739
Wendell	0.050854
"Mac Suzuki"	0.0506135
Swindell	0.0503142
Dickson	0.0501897
"Freddy Garcia"	0.0497987
Wasdin	0.049498
Grimsley	0.0494181
Necaxa	0.0491852
Schourek	0.0488157
Burkett	0.0482164
"Ken Cloude"	0.048011
Cora	0.0480037
"John Snyder"	0.0479755
Gomes	0.047962
Crewe	0.0475741
"Darren Woodson"	0.0475693
fetter	0.047538
"Tom Candiotti"	0.0475029
Daal	0.0473327
Bere	0.0473075
Dotel	0.0471278
Mussina	0.0470447
"Hansie Cronje"	0.0469155
Sele	0.0465948
"Pat Mahomes"	0.046424
"John Burkett"	0.0462625
Counsell	0.0461902
Bottenfield	0.0461479
Okamoto	0.0460154
Nomo	0.0459477
Wada	0.0457669
"Danny Kanell"	0.0456051
"Kent Mercker"	0.0454455
"Mark Petkovsek"	0.0451079
Crabtree	0.0448665
Kumble	0.0444998
Hurtado	0.0441098
Beckenbauer	0.0440761
Aguilera	0.0440528
Candiotti	0.0439847
"Drew Bennett"	0.0437912
Irabu	0.043689
Tapani	0.0436437
"Bill Pulsipher"	0.0435731
"Chris Carpenter"	0.04302
Ortiz	0.0429848
"Bruce Chen"	0.0426199
Ankiel	0.0425964
Perisho	0.0425715
Runyan	0.0424689
"Eric Milton"	0.0424632
"Mike Remlinger"	0.0423201
"Brett Tomko"	0.0422793
Padilla	0.0421336
"John Wasdin"	0.0420526
"Kevin Orie"	0.0419746
Yazdi	0.0419544
"Borussia Moenchengladbach"	0.041942
Mercker	0.0417066
"Jesus Sanchez"	0.0416389
Belcher	0.0415981
Vazquez	0.041564
Harbaugh	0.0414313
Mlicki	0.0412856
Harnisch	0.0412735
"Frankie Rodriguez"	0.0412663
Muralitharan	0.0412243
Millwood	0.0412186
"Pedro Astacio"	0.0411553
"Esteban Loaiza"	0.0411056
Gagne	0.0410813
"Dave Brown"	0.040947
Edmondson	0.0409123
"Glenn McGrath"	0.0408303
Takeshita	0.0407895
Grimes	0.0407309
"Robinson Checo"	0.0406804
"Bryce Florie"	0.040677
"Rod Beck"	0.0406055
"National Guardsmen"	0.0405291
Hentgen	0.0404718
Schalke	0.0404299
"three pitchers"	0.0402329
"no ball"	0.040099
Arrojo	0.0400841
TKO	0.0400747
Nakamura	0.0400197
))
(cadaver (desc 4080.45) (sims
fetus	0.0901305
marrow	0.0697108
fallibility	0.0665476
"bone marrow"	0.065245
"dead body"	0.0613085
carry-on	0.0611998
junkyard	0.0611345
corpse	0.0587633
carcass	0.0573939
Embryo	0.0573745
cornea	0.0561114
"tree stump"	0.0504048
"umbilical cord"	0.0489279
"bowling ball"	0.048715
feces	0.0486706
pancreas	0.048623
ovary	0.0478248
mastodon	0.0476381
Burnt	0.0456417
mummy	0.0453031
skeleton	0.0451239
"brain cell"	0.0428732
crocodile	0.0427879
"female body"	0.0422968
"lynch mob"	0.0422592
zebra	0.0421799
Pony	0.041858
sperm	0.0414881
reindeer	0.0410703
"small white"	0.0407194
lifesaving	0.0406846
))
(Cadbury (desc 1591.56) (sims
"Cadbury Schweppes"	0.261488
CCE	0.227821
"Stride Rite"	0.177648
Pepsi	0.171137
Pepsico	0.169684
RJR	0.168473
XYLAN	0.16674
"P&AMP;G"	0.15949
Orangina	0.157824
TYCO	0.157483
Broderbund	0.151732
Nestle	0.149274
Cabletron	0.148571
SmithKline	0.146329
Unilever	0.14527
Nabisco	0.142407
Asda	0.14136
Seagram	0.141035
Cerent	0.139391
"Coca-Cola Co."	0.137367
Gillette	0.133905
Heinz	0.133544
Stroh	0.133056
LIFFE	0.132727
Daimler	0.131159
ascend	0.130977
"Coca-Cola Enterprises"	0.130335
L'Oreal	0.129796
MiniMed	0.129052
VENATOR	0.128061
"Coca Cola"	0.125487
Diageo	0.124809
"Pepsico Inc."	0.123634
"Pepsi Cola"	0.122937
Bestfoods	0.121963
TELLABS	0.121685
Deutsche	0.121452
Kodak	0.120812
Tropicana	0.120056
Georgia-Pacific	0.119706
Clorox	0.119604
Alltel	0.119342
UAM	0.11915
McKesson	0.118987
"Thermo Electron"	0.118843
ALZA	0.117607
"Sara Lee"	0.117254
"J&AMP;J"	0.116945
IAI	0.116121
Glaxo	0.115851
Mattel	0.114269
"Southern Co."	0.114082
"Advanced Micro"	0.111547
Coca-Cola	0.110291
coke	0.11012
Nortel	0.110031
ICI	0.109476
Comsat	0.109467
Aegon	0.10842
PolyGram	0.107966
WELLPOINT	0.107942
NORTHROP	0.107933
Transamerica	0.107544
Scientific-Atlanta	0.106904
NCR	0.106539
SGI	0.106013
Starwood	0.105445
bottler	0.10448
Seagate	0.10348
Norwest	0.102733
ADM	0.102587
"Procter &AMP; Gamble"	0.102308
Equifax	0.102289
Federated	0.101777
Stratus	0.101276
Cargill	0.101004
"Times Mirror"	0.100989
CMG	0.100852
WPP	0.100823
PEOPLESOFT	0.100117
EMC	0.0996374
BankAmerica	0.0992215
McCaw	0.0990971
"HBO &AMP; Co."	0.0990807
"Philip Morris"	0.0989713
REVLON	0.0987626
SBC	0.0986695
MACROMEDIA	0.098519
SDL	0.0983757
Penney	0.0981838
Wachovia	0.0978891
Sprite	0.0976902
Checkfree	0.0976186
Ahold	0.0970463
"Whole Foods"	0.0968108
AIG	0.0963777
Ericsson	0.0962583
Biogen	0.0959671
ARCO	0.0955563
Broadcom	0.0953251
Anheuser-Busch	0.0950465
AutoNation	0.0948788
"Bank of Scotland"	0.0947781
Corel	0.0943721
WorldCom	0.0943322
Emulex	0.0943156
Bayer	0.0940976
Volvo	0.094006
Ciena	0.0936174
Delphi	0.0931641
TCI	0.0931156
Vivendi	0.0930492
"Pepperidge Farm"	0.0930081
"RJR Nabisco"	0.0926963
Denel	0.0922129
"Ocean Spray"	0.0919331
Northpoint	0.0918347
SFX	0.0918122
Zeneca	0.0915593
Pitney	0.0914282
"Con Ed"	0.0913872
NatWest	0.0912595
"National Grid"	0.0910857
Albertson's	0.0909266
Merck	0.0905397
"Dow Corning"	0.0903263
Genzyme	0.0901648
Dresdner	0.0900364
Terra	0.0899506
Pfizer	0.0898494
Webvan	0.0894611
Maytag	0.0890661
"KCP&AMP;L"	0.0887393
"Levi Strauss &AMP; Co."	0.0886822
GEC	0.0883953
Hoechst	0.0882937
DoCoMo	0.0881954
Ba	0.0880492
Renault	0.0879508
BellSouth	0.0879206
Litton	0.0878187
BCE	0.0876162
GANNETT	0.0876129
Viacom	0.0873126
MCI	0.0872568
Inktomi	0.0871751
Chiquita	0.0871127
Amway	0.0868636
Sunbeam	0.0868482
Novell	0.0868178
"Gap Inc."	0.0867088
Compaq	0.0866873
Cablevision	0.0866532
Sepracor	0.0861156
Kellogg	0.0858798
E-LOAN	0.0858641
"Hongkong Telecom"	0.0857703
"Network Associates"	0.0855485
Chiron	0.0851832
Healtheon	0.0848583
"Boston Scientific"	0.0848319
"Met Life"	0.0844759
Pairgain	0.0844518
"Cox Communications"	0.0843327
Tenneco	0.0840987
Hewlett	0.0840224
Akamai	0.083607
Kroger	0.0835392
Informix	0.083506
Vodafone	0.0834884
Mondavi	0.0832909
Fingerhut	0.083287
"MCI WorldCom"	0.0829852
Hershey	0.0827139
KLM	0.0826615
Eurotunnel	0.0824089
Cisco	0.0824069
Toysmart	0.082364
Conseco	0.0820786
Motorola	0.0819424
"American Home"	0.0818591
HBOC	0.0818409
Dupont	0.0817827
SkyTel	0.0816373
WebMD	0.0813344
Gerber	0.0813128
"News Corp."	0.0812541
Ameritech	0.081187
Instinet	0.0810288
ENTERGY	0.0807693
"GE Capital"	0.0805513
Reebok	0.0803191
Heineken	0.079969
Rhone-Poulenc	0.0798934
NIKE	0.0794973
Airtouch	0.0792228
COLTEC	0.0791903
"Estee Lauder"	0.0791587
HP	0.0790249
Ge	0.0788575
))
("Cadbury Schweppes" (desc 1788.21) (sims
Cadbury	0.261488
"Sara Lee"	0.165519
Federated	0.165492
Stroh	0.164521
Seagram	0.151202
Nabisco	0.148031
Bestfoods	0.144634
Heinz	0.140813
"Times Mirror Co."	0.139843
Clorox	0.138297
Frito-Lay	0.13719
SmithKline	0.135812
Pepsico	0.134571
PolyGram	0.132179
Broderbund	0.128965
"Mattel Inc."	0.128677
"Volvo AB"	0.127427
Mattel	0.125992
"General Electric Co."	0.125556
"Y&AMP;R"	0.124806
"Network Associates"	0.124234
Penney	0.123111
"Philip Morris"	0.122517
REVLON	0.122509
"GE Capital"	0.121873
Hasbro	0.120755
McKesson	0.119932
Pillsbury	0.11853
Litton	0.118466
Orangina	0.118381
"P&AMP;G"	0.118024
Unilever	0.11728
GEC	0.11566
"Learning Co."	0.115629
"Gap Inc."	0.115608
"Gillette Co."	0.11507
"Hughes Electronics Corp."	0.115019
TYCO	0.114676
"Berkshire Hathaway"	0.113602
Nestle	0.113198
"Federated Department Stores"	0.111635
"Coca-Cola Co."	0.11156
Comsat	0.110882
Tropicana	0.110836
Daimler	0.110121
Healtheon/WebMD	0.108813
"Ocean Spray"	0.108507
XYLAN	0.108219
"National Grid"	0.107983
"HBO &AMP; Co."	0.107094
L'Oreal	0.106528
ARCO	0.105997
Publicis	0.105898
"Seagram Co."	0.105603
Coca-Cola	0.105585
"BellSouth Corp."	0.105115
Genzyme	0.105108
Bertelsmann	0.102968
"Whole Foods"	0.101643
"Bankers Trust"	0.101116
"Viacom Inc."	0.101102
"Bertelsmann AG"	0.100923
"Stride Rite"	0.100877
"CBS Corp."	0.10054
E-LOAN	0.100071
Omnicom	0.0995106
Aegon	0.0991553
TCI	0.0990322
"RJR Nabisco"	0.0989715
Reebok	0.0989078
"Pepsico Inc."	0.0988223
ALZA	0.0985706
"Times Mirror"	0.0985634
"Niagara Mohawk"	0.0985619
Novartis	0.0985617
Drugstore.com	0.0981168
"Wells Fargo"	0.0978388
NORTHROP	0.0977022
GANNETT	0.0975736
BankAmerica	0.0971792
Ciena	0.0966324
"Dow Jones &AMP; Co."	0.0965458
Tenneco	0.0964816
"Times Co."	0.0961428
"Hearst Corp."	0.0957231
Primedia	0.0953557
Ameritech	0.0952713
"News Corp."	0.0942968
"Mountain Dew"	0.094241
Aetna	0.0941609
GTE	0.0940482
"U.S. Trust"	0.0938024
RJR	0.0937417
Monsanto	0.0935323
"Monsanto Co."	0.0934616
"Coca Cola"	0.0934164
Sunbeam	0.0930314
Volvo	0.0929549
CUC	0.0927929
"Dayton Hudson"	0.0927894
"Chevron Corp."	0.0927081
"Thermo Electron"	0.0923689
"Northeast Utilities"	0.0920352
Enron	0.0919181
"Time Warner"	0.0919171
"Sprint Corp."	0.0913699
Viacom	0.0913483
Snapple	0.0912442
"J&AMP;J"	0.0911436
"Knight Ridder"	0.0906606
Nortel	0.0905389
SBC	0.0904709
BankBoston	0.0901617
"Procter &AMP; Gamble"	0.0899541
"Kraft Foods"	0.0896804
"UAL Corp."	0.0895687
VoiceStream	0.0895195
"Bankers Trust Corp."	0.0894856
Medtronic	0.0894794
ADM	0.0893812
AIG	0.0893686
UAL	0.0892637
Halliburton	0.0892509
WorldCom	0.0891687
MACROMEDIA	0.0891166
Pepsi	0.0891062
PictureTel	0.0890191
"Sony Corp."	0.0882172
Kodak	0.0881156
Diageo	0.0881138
"Aetna Inc."	0.0879593
"Simon &AMP; Schuster"	0.0877755
BofA	0.0875877
"National Semiconductor"	0.0874949
Ingram	0.087417
"Pepperidge Farm"	0.0872334
Airtouch	0.087206
"Hong Kong Telecom"	0.0871384
Maytag	0.0861265
"Atlantic Richfield Co."	0.085736
Westinghouse	0.0855084
"Estee Lauder"	0.0855016
CMG	0.0854245
China.com	0.0852051
"American Home Products"	0.0850782
MiniMed	0.0849903
"Coca-Cola Enterprises"	0.084696
"True North"	0.0846185
"Raytheon Co."	0.0844951
Ingalls	0.0844642
Bayer	0.0840023
EMC	0.0838032
Cerent	0.0836324
Albertson's	0.0835886
Emulex	0.0834285
"Ford Motor Co."	0.0833445
"Levi Strauss"	0.0831195
Duracell	0.0829255
NatWest	0.0827471
ITT	0.0827207
bottler	0.0826876
"Ameritech Corp."	0.0826361
Pairgain	0.0821511
"BankBoston Corp."	0.0821097
Motorola	0.0820095
Kroger	0.0818448
"Texas Instruments"	0.0817134
CNET	0.0815876
"Digital Equipment Corp."	0.0814849
"MCI WorldCom"	0.0810037
Cargill	0.0809527
Amoco	0.0809504
UAM	0.0809351
"GTE Corp."	0.0807978
Xerox	0.0806486
Infoseek	0.0806273
Warnaco	0.0805799
Petrofina	0.0805425
CSX	0.0803396
Alltel	0.0802657
MCI	0.0802418
"Deutsche Bank"	0.0801846
"International Paper"	0.0801032
Equifax	0.0799684
Geron	0.0798916
"Ford Motor"	0.0798846
"Koch Industries"	0.079771
iXL	0.079609
Deutsche	0.0796047
"General Electric"	0.0795322
"Prudential Insurance Co."	0.0794386
Norwest	0.0793194
Dupont	0.0791654
Avondale	0.0791148
"Symantec Corp."	0.0789961
Saks	0.0789126
"Fred Meyer"	0.07856
"American Home"	0.0784587
"Dow Chemical"	0.078446
"General Motors Corp."	0.0783842
))
(Caddell (desc 1864.98) (sims
Alioto	0.237334
Hodler	0.16865
Cornyn	0.163796
Edelman	0.158814
Kornberg	0.155676
"defense lawyers"	0.154751
Harris-Lewis	0.154579
Zucker	0.154569
Wolfson	0.151209
Waxman	0.146482
Ruehe	0.144331
Singson	0.142723
Flanagan	0.142021
Trulock	0.141663
Rosenblatt	0.141518
Fieger	0.140459
Burleigh	0.139891
Kessler	0.138822
Advani	0.138574
Condit	0.137014
Hauser	0.135458
Tevanian	0.133129
"Mary Jo White"	0.129721
Kennard	0.129405
Sensenbrenner	0.128404
Garcetti	0.127285
Kaye	0.125921
Ritter	0.124057
Pelosi	0.123848
Weldon	0.121918
Harkin	0.121533
Aventajado	0.120589
Prewitt	0.120564
Bakaly	0.120386
Keady	0.120286
LaPierre	0.119465
Lamberth	0.118338
Fagan	0.117953
Podesta	0.117877
Whipple	0.117144
Manley	0.116826
Ainge	0.116586
Jovanovic	0.116197
Verney	0.116008
Koskinen	0.115472
Vacco	0.115283
Inhofe	0.115061
Upton	0.114341
DeFrantz	0.114315
Siazon	0.113985
Baucus	0.113715
Kyl	0.113629
Safir	0.113371
Levitt	0.113298
Finkel	0.113137
Bustamante	0.112731
Murkowski	0.112655
Kumar	0.112603
Korman	0.112508
Meissner	0.112437
Sheng	0.112258
hodgson	0.111454
Insulza	0.111153
Granik	0.110818
Kasoulides	0.110536
Bettman	0.110148
Lehane	0.109987
DERSHOWITZ	0.109802
Riordan	0.109756
Ruff	0.109263
Babcock	0.109113
Goldin	0.108903
Doggett	0.108787
Leavitt	0.108483
Canady	0.108046
Symington	0.107177
"Jim Thomas"	0.106975
Bragman	0.106552
Nethercutt	0.106548
Sinclair	0.106495
Piot	0.106403
Russert	0.106207
Kulikov	0.105941
Breuer	0.105898
Eizenstat	0.105741
Carollo	0.105486
Lindland	0.105399
Rivlin	0.105391
Daschle	0.105162
Kendall	0.10433
Erekat	0.104247
Reimer	0.104181
Rideau	0.104138
Lessig	0.104044
McWilliams	0.103989
Hitchens	0.103774
Maldini	0.10375
Fleischer	0.103721
Yazdi	0.103243
Scalfaro	0.103132
Sharpton	0.102685
Klima	0.102583
Lockyer	0.102135
Ackerman	0.1021
Cashman	0.101486
Alatas	0.101378
Warshaw	0.101253
Rogan	0.101192
D'Alessandro	0.10116
Blumenthal	0.101147
Wenger	0.10104
Luethke	0.100822
Maritz	0.100616
Murr	0.100401
Hagel	0.100256
Napolitano	0.100072
Gutman	0.0995844
Reinhardt	0.0994504
Posner	0.0993905
Icahn	0.099333
Sergeyev	0.0990763
Nickerson	0.0990134
"Court TV"	0.0987985
Barksdale	0.0986176
Naumann	0.0983707
Moonves	0.0981552
Mudge	0.0979301
Farber	0.0977944
Moakley	0.0977589
Scruggs	0.097703
Kyprianou	0.0976649
Lott	0.0975322
Gullikson	0.0973091
Moratinos	0.0972107
Zacarias	0.0971933
Allchin	0.0971423
Cooley	0.0970631
Harmoko	0.0970457
Jarrell	0.0969032
Nebiolo	0.0968585
Ebersol	0.0968346
Engelberg	0.0964955
Rothenberg	0.0963098
Sherrill	0.0962899
"Al Fayed"	0.096234
Luzhkov	0.0961819
Rosen	0.0961309
Muckler	0.0961021
Beazley	0.0960034
"David Kendall"	0.0959852
Troussier	0.0959153
McCurry	0.0958182
noone	0.0957727
Ganga	0.0956971
Bizimungu	0.0955614
Daft	0.0955365
"David Boies"	0.0952855
Smaltz	0.0952275
Lowry	0.0951619
Fernandes	0.0950829
Chadwick	0.0949256
Scioscia	0.0949081
Walser	0.0945898
Tuberville	0.0944641
Rong	0.0940126
Ashrawi	0.0939856
Epstein	0.09391
Barshefsky	0.0938617
"David Bar-Illan"	0.0938563
Pryor	0.0938136
Schippers	0.0937813
Eubanks	0.0937709
Kato	0.0937155
Caldera	0.0936912
Berman	0.093641
Rudman	0.0936163
Alarcon	0.0936116
Brownback	0.0934689
Alderson	0.0934485
Azizah	0.0933583
McNulty	0.0930819
Allard	0.0930438
Barr	0.092957
Wellstone	0.092853
Rais	0.0928097
Isner	0.0927545
Sasser	0.0927303
Danforth	0.092688
Wilhelm	0.0925313
McLane	0.0923859
Katz	0.0923461
"administration official"	0.0922983
"John Cornyn"	0.0921712
Loewen	0.0921618
Coe	0.0921605
Condon	0.0919794
Hagelin	0.0916763
"Judicial Watch"	0.0916388
McKeon	0.0915533
"Elyakim Rubinstein"	0.0915378
))
(caddie (desc 12495.4) (sims
Caddy	0.165156
"pitching coach"	0.0768304
lifeguard	0.0724118
scout	0.0692871
sportswriter	0.0661815
"major leaguer"	0.0661805
bricklayer	0.0658002
housekeeper	0.0656064
"altar boy"	0.0654936
handyman	0.0642728
"English teacher"	0.0638923
"football coach"	0.0625753
instructor	0.0624532
accountant	0.062338
bookkeeper	0.0620935
stuntman	0.0614738
golfer	0.0607326
companion	0.0606526
"church member"	0.0606278
churchgoer	0.0601379
publicist	0.0593659
referee	0.0591069
bodyguard	0.0589625
putter	0.0588341
"press agent"	0.0587961
assistant	0.0584777
nurse	0.0583686
sitter	0.0579429
firefighter	0.0577192
violinist	0.0576341
hairdresser	0.0574563
lifer	0.0573618
receptionist	0.057317
shipmate	0.0573053
waitress	0.0572856
electrician	0.0569681
seamstress	0.0567632
stockbroker	0.0567384
trainer	0.0564901
tutor	0.0563069
girlfriend	0.0562086
Amateur	0.0561659
"guardian angel"	0.0560952
"day laborer"	0.0559788
roommate	0.0556858
"sparring partner"	0.0556676
photographer	0.0555583
mailman	0.0555557
caretaker	0.0554894
grandkids	0.0554702
nanny	0.055383
janitor	0.0553505
newsman	0.0551586
waiter	0.0551019
dentist	0.0550067
therapist	0.0548954
putt	0.0547417
cinematographer	0.0545753
"school principal"	0.0545379
missionary	0.0544139
scriptwriter	0.0538872
bartender	0.0537249
infantryman	0.0536772
roofer	0.053671
pro	0.0535213
paralegal	0.0534833
"math teacher"	0.0533879
Lynne	0.0527037
stewardess	0.0526377
"foster mother"	0.0525691
"real estate agent"	0.0525012
counselor	0.0524671
"sounding board"	0.0524048
attendant	0.0523621
batboy	0.0523309
"baseball player"	0.0523256
drummer	0.052325
trainee	0.0523177
newspaperman	0.0520048
fiancee	0.0518214
pallbearer	0.0516887
bullfighter	0.0515856
decorator	0.0514733
technician	0.0514272
"bus driver"	0.051362
DH	0.0513447
translator	0.051209
handler	0.0511158
gardener	0.0510002
schoolteacher	0.0509884
Barber	0.0508972
Janet	0.0507129
"big leaguer"	0.0506994
conductor	0.0505526
co-worker	0.0505501
intern	0.0504283
"football player"	0.0502504
physician	0.0500766
"registered nurse"	0.0500407
"account executive"	0.0500243
buddy	0.0499935
panelist	0.0499205
"basketball coach"	0.0497855
dispatcher	0.0497733
"test pilot"	0.0497588
DJ	0.0497467
Sonia	0.0497204
"flight attendant"	0.0496237
foreman	0.0495012
bellhop	0.0494879
chaplain	0.0494831
sweetheart	0.049464
ballplayer	0.0494281
mechanic	0.0491928
bodybuilder	0.0491526
"copy editor"	0.0491375
announcer	0.0490894
underling	0.0490662
stepson	0.0490649
apprentice	0.0489954
great-grandchildren	0.04897
"staff member"	0.0488797
horseman	0.0488274
"golf bag"	0.0488258
umpire	0.0488034
"school teacher"	0.0487816
picker	0.0485983
organist	0.0485154
sportscaster	0.0484992
illustrator	0.0484984
"travel agent"	0.0484967
scoutmaster	0.0484885
helper	0.0484154
walk-on	0.0483411
niece	0.0482768
pastor	0.0482516
chef	0.0481451
"basketball player"	0.0480634
busboy	0.0480263
racer	0.0479755
fiance	0.047975
dad	0.0479305
"drama critic"	0.0478979
hairstylist	0.0478976
"volleyball player"	0.0478883
"electrical engineer"	0.0478848
fisherman	0.0478826
"approach shot"	0.0478821
"hockey player"	0.0478425
father-in-law	0.0478225
ref	0.0478131
stepmother	0.0476752
"literary agent"	0.0476446
"investment banker"	0.0476362
alderman	0.0476181
"good person"	0.0475847
catcher	0.0474957
vet	0.0474907
staffer	0.0473082
bloke	0.0472942
dancer	0.0472741
teller	0.0472061
Intimidator	0.0471587
pianist	0.04711
Cop	0.0470336
"union representative"	0.0469826
balloonist	0.0469138
cameraman	0.04689
"management consultant"	0.0468404
Postmaster	0.046741
cashier	0.0467182
"physical therapist"	0.0467036
"best friend"	0.0466175
mistress	0.0465823
masseuse	0.0465739
"law partner"	0.0465649
paramedic	0.0465252
librarian	0.0465213
custodian	0.0465162
interpreter	0.0464152
understudy	0.0464137
grandmother	0.0463851
bandmates	0.0462654
"computer programmer"	0.0462108
fireman	0.0461861
uncle	0.0461741
clerk	0.0461298
Cindy	0.0461083
"private investigator"	0.0460064
hostess	0.0460009
housemates	0.0459562
"character actor"	0.0458479
"disc jockey"	0.0456864
"social worker"	0.0456536
confidante	0.0455691
principal	0.0455352
copywriter	0.0454462
salesman	0.045379
chemist	0.0453396
carpenter	0.0453172
))
(Caddy (desc 4619.26) (sims
caddie	0.165156
"sounding board"	0.0699404
pallbearer	0.0642079
"church member"	0.0625777
churchgoer	0.0620915
"guardian angel"	0.05879
stepson	0.0579973
hairstylist	0.0562418
"altar boy"	0.0561285
housemates	0.0555715
Mississippian	0.055347
batboy	0.0548525
"golf game"	0.0547656
"jazz musician"	0.0545257
"half sister"	0.0531865
grandkids	0.0528286
Camaro	0.052444
"golf bag"	0.0514455
stepmother	0.0513445
housekeeper	0.0511795
"chairman emeritus"	0.0505681
shipmate	0.0505167
"good person"	0.050256
sportswriters	0.0494318
"fall guy"	0.0493271
lifeguard	0.0491128
violinist	0.0483784
panelist	0.0481667
Cadillac	0.0480565
Postmaster	0.0480294
"Toyota Corolla"	0.0477711
Jeb	0.04756
"pen pal"	0.0473182
tutor	0.0467998
"Earl Spencer"	0.0466693
"basketball player"	0.0465747
stockbroker	0.0464875
speechwriter	0.0461409
hairdresser	0.0461311
putter	0.0460314
"day laborer"	0.0456409
congregants	0.0453033
"tennis player"	0.0451772
"little sister"	0.0451566
cheerleader	0.0446672
sweetheart	0.0443129
Andrei	0.0441606
"Lincoln Town Car"	0.0441326
vet	0.0441074
"femme fatale"	0.0439916
parishioner	0.0437534
"young actress"	0.0437343
"plastic surgeon"	0.0436023
hearse	0.0434047
jogger	0.0433695
bagpiper	0.0433008
"Land Rover"	0.0432857
"Honda Civic"	0.0432816
father-in-law	0.0431923
Evan	0.0430755
foursome	0.0429963
scriptwriter	0.0428735
worshiper	0.042773
"pitching coach"	0.0427137
"professional golfer"	0.0426605
chap	0.0425697
gardener	0.0425137
Berra	0.0423983
telemarketer	0.0423596
miler	0.0422121
"chess player"	0.0421579
handyman	0.0420634
"goose bumps"	0.0420471
"Jeep Cherokee"	0.0419921
"duffel bag"	0.0419378
daughter-in-law	0.0418501
fiancee	0.0418451
Atlantans	0.0417661
"probation officer"	0.0417033
"house guest"	0.0416895
DH	0.0416787
literati	0.0415346
attendees	0.041492
Donny	0.0414822
guitarist	0.0414155
"garbage truck"	0.0414102
lyricist	0.0413548
vaulter	0.0413246
concertgoers	0.0412898
Brian	0.041075
stepdaughter	0.041029
cameraman	0.0409955
"best man"	0.0409584
picketers	0.0409221
mailman	0.0409023
"newspaper publisher"	0.0408378
"fellow worker"	0.0404706
stepsister	0.0404654
Lexus	0.0403034
Ringer	0.0401956
"working day"	0.040083
"legal guardian"	0.0400257
townspeople	0.0400047
))
("Cade McNown" (desc 7789.35) (sims
"Tim Couch"	0.259227
"Akili Smith"	0.252991
"Donovan McNabb"	0.240647
McNown	0.237625
"Daunte Culpepper"	0.223651
"Brock Huard"	0.152873
"Tee Martin"	0.149252
"Shaun King"	0.148606
"Michael Bishop"	0.147347
McNabb	0.138163
"Peyton Manning"	0.13531
"Ryan Leaf"	0.134435
"Kurt Warner"	0.133553
"Tom Brady"	0.133061
"Jake Plummer"	0.128038
"Troy Aikman"	0.127859
"Glenn Foley"	0.124874
"Baron Davis"	0.124549
"Steve McNair"	0.124214
"Chris Weinke"	0.123202
"Quincy Carter"	0.119238
"Joe Hamilton"	0.118885
Brees	0.115851
"Todd Husak"	0.112745
Applewhite	0.111762
"Edgerrin James"	0.111094
"Bubby Brister"	0.109936
"Danny Wuerffel"	0.109935
Manning	0.109889
"Carson Palmer"	0.109744
"Chad Pennington"	0.109718
"Cory Paus"	0.108731
"Jeff Blake"	0.108444
"Ryan McCann"	0.106234
"Chris Chandler"	0.105405
"Jeff Garcia"	0.103632
"Marcus Outzen"	0.102937
Weinke	0.102162
Griese	0.101798
"Charlie Batch"	0.101742
"Damon Huard"	0.101673
Plummer	0.101437
DeBerg	0.101344
"Michael Vick"	0.100976
"Steve Young"	0.10013
"Peter Warrick"	0.0998109
"Vinny Testaverde"	0.0997619
"Skip Hicks"	0.0991802
"Ricky Williams"	0.0988529
Huard	0.0980734
"Kerry Collins"	0.097382
"Jarious Jackson"	0.0971533
Elway	0.0969951
"Van Raaphorst"	0.0960517
"Mike Van Raaphorst"	0.0959869
"Warren Moon"	0.095737
"Brett Favre"	0.0956016
"Randall Cunningham"	0.0953868
"John Elway"	0.0948302
Grbac	0.0944413
"Trent Green"	0.0942038
"Bobby Newcombe"	0.0941996
"Drew Bledsoe"	0.0938364
"Ty Detmer"	0.0937327
"Jeff George"	0.0932215
"Kent Graham"	0.0926642
"Kris Farris"	0.0923411
Bledsoe	0.0923117
"Dave Brown"	0.0919477
"Tony Banks"	0.0918872
"Brian Griese"	0.0917451
"Jon Kitna"	0.09172
"Ray Lucas"	0.091535
"Drew Bennett"	0.0912989
Favre	0.091204
"Trent Dilfer"	0.0911492
Kanell	0.0910986
Brunell	0.0908455
"Doug Pederson"	0.0903671
"Steve Beuerlein"	0.0900373
"Doug Flutie"	0.0898039
"Rob Johnson"	0.0895318
McCown	0.0888546
Aikman	0.0886775
Vick	0.0882554
"DeShaun Foster"	0.087942
"Champ Bailey"	0.0878812
Graziani	0.0870167
"John Fox"	0.0869701
Testaverde	0.0866957
Hasselbeck	0.0864255
Outzen	0.0862066
Kitna	0.0854283
"Rick Mirer"	0.0847306
"Doug Johnson"	0.0846937
"Gus Frerotte"	0.0845392
"Mark Brunell"	0.0838223
"Dan Marino"	0.0834954
"Curtis Enis"	0.0825485
Zolak	0.082264
"Joe Montana"	0.0820729
"Andre Wadsworth"	0.0815169
"Jim Druckenmiller"	0.0808682
"Elvis Grbac"	0.0808396
"Chris Claiborne"	0.0807452
"Danny Kanell"	0.08073
"Danny Farmer"	0.0805748
Chandler	0.0794891
"Brad Johnson"	0.0792253
Tupa	0.079064
Culpepper	0.0783728
"Keith Smith"	0.0782652
"Drew Henson"	0.0782537
Dilfer	0.0781803
"John Avery"	0.0778775
"Chris Simms"	0.0776544
"Larry Atkins"	0.0774403
"Ryan Kealy"	0.0773169
"Leon Smith"	0.0772016
Pederson	0.0771271
"L.J Shelton"	0.0767744
"Earl Watson"	0.0765506
"Robert Edwards"	0.0764037
Cunningham	0.0757353
"Erik Kramer"	0.0744859
"Kordell Stewart"	0.0733211
"Marques Anderson"	0.0732596
"Elton Brand"	0.0732046
"David Boston"	0.0731175
Marino	0.0728892
"JOHN FRIESZ"	0.0726709
"Rich Gannon"	0.0724574
"Neil O'Donnell"	0.0722001
"Shawn Marion"	0.0721649
couch	0.071964
"Pat Burrell"	0.071489
"Keith Brooking"	0.0708213
"Sean Farnham"	0.0704323
"Ryan Roques"	0.0702954
Detmer	0.0693441
McNair	0.0693188
"Major Applewhite"	0.0693055
STALEY	0.0685587
Flutie	0.0682277
"Trung Canidate"	0.0681496
"Jason Garrett"	0.0678664
"Paul Justin"	0.0677799
"Thomas Jones"	0.0675287
Brady	0.0674895
"Devean George"	0.0674069
Gannon	0.0667733
"Patrik Stefan"	0.0667193
WARRICK	0.0666423
"Jeff Weaver"	0.0663372
Garrett	0.0663122
Warner	0.0662835
"Greg Ellis"	0.0661631
"Scott Zolak"	0.065972
"Steve DeBerg"	0.065956
"Drew Brees"	0.065604
"Terry Bradshaw"	0.0651331
"Sebastian Janikowski"	0.064916
"Andre Miller"	0.0647591
"Jim Parque"	0.0647326
"Rico Hines"	0.0643889
"Kevin Faulk"	0.063968
Druckenmiller	0.0635499
"Chamique Holdsclaw"	0.063445
"Raef LaFrentz"	0.0630412
"Jerome Moiso"	0.0629291
"Tony Graziani"	0.0627738
"Ron Dayne"	0.0627348
"Ebenezer Ekuban"	0.0626553
"Rodney Peete"	0.0625922
McCann	0.0624718
"Torry Holt"	0.0622281
"Phil Simms"	0.0620833
"Damien Woody"	0.0619027
"Jim Harbaugh"	0.0618185
"Lamar Odom"	0.0617298
"Toby Bailey"	0.0616542
"Chris McAlister"	0.0616442
"Walter Payton"	0.0612917
"Jamal Lewis"	0.0612101
Burrell	0.060825
Pennington	0.0607982
Harbaugh	0.0607037
"Jumaine Jones"	0.0605553
Chmura	0.0604268
Palmer	0.0601755
"Steve Francis"	0.0600212
"LaVar Arrington"	0.0597001
"Freddie Mitchell"	0.0596489
Dayne	0.0592193
"running back"	0.0591504
"Rick Neuheisel"	0.0590309
"Dirk Nowitzki"	0.0586669
"Paul Pierce"	0.058321
"Keyshawn Johnson"	0.0582781
Boller	0.0581046
))
(cadence (desc 8576.81) (sims
rhythm	0.109564
inflection	0.104277
monotone	0.098222
phrasing	0.0976533
diction	0.0902802
drawl	0.086309
tone	0.0850985
idiom	0.0802795
timbre	0.0764278
mannerism	0.0751299
accent	0.0708727
melody	0.0706684
tempo	0.070526
intonation	0.0699156
"tone of voice"	0.0697456
baritone	0.0679661
gait	0.0660298
dialect	0.065935
twang	0.0656118
lilt	0.0650887
pronunciation	0.0646619
"Pacific Century"	0.0637816
vibrato	0.0612534
patois	0.0606352
phrase	0.0599653
Litton	0.0599363
McKesson	0.0578328
WPP	0.0577041
locution	0.0574684
"speech pattern"	0.056828
"Phelps Dodge"	0.0558968
pacing	0.0550152
chord	0.0550007
rhyme	0.0534609
NiSource	0.0513028
articulation	0.0510327
rendition	0.0505308
nuance	0.0500276
refrain	0.0500012
rasp	0.0488672
vernacular	0.0484295
syncopation	0.0482764
Totalfina	0.0478404
harmony	0.0477422
vocabulary	0.0476287
ENTERGY	0.0475058
punctuation	0.0474064
murmur	0.0466889
eloquence	0.0462886
earnestness	0.0461718
velocity	0.0458329
texture	0.0458154
lyricism	0.0456532
"Y&AMP;R"	0.0455616
tic	0.0455396
"a few lines"	0.0453845
chorus	0.0450443
improvisation	0.0447704
fervor	0.0446931
Raytheon	0.0445288
fluidity	0.044453
recitation	0.0444389
"Cable &AMP; Wireless"	0.0444218
riff	0.0444172
EMC	0.0443265
Echostar	0.044111
counterpoint	0.043919
accompaniment	0.0437887
RealNetworks	0.0435416
"Royal Bank"	0.043442
drumbeat	0.0434355
Genzyme	0.0432633
Ciena	0.0429734
"Bank of Scotland"	0.0426689
coloration	0.0424221
demeanor	0.0423102
SBC	0.0423014
SmithKline	0.042055
idiosyncrasy	0.0418959
specificity	0.0418329
Chiron	0.0415421
UAL	0.0413225
Starwood	0.0410139
Inktomi	0.040915
spelling	0.0408012
snippet	0.0405258
COLTEC	0.0405203
"body language"	0.0404811
MiniMed	0.0402336
Hindi	0.0401731
ExciteAtHome	0.0401547
slang	0.0400052
))
(cadet (desc 15581.5) (sims
enlistee	0.118869
trainee	0.114426
midshipmen	0.100328
graduate	0.0984211
student	0.097771
reservist	0.0976652
"army officer"	0.0959319
officer	0.0919159
servicemen	0.0913796
"enlisted man"	0.0908874
"university student"	0.0898072
sailor	0.0876416
policemen	0.0875318
"military personnel"	0.0872747
airmen	0.0872327
"military officer"	0.0856481
"college student"	0.0843464
"faculty member"	0.0839917
soldier	0.082693
"police officer"	0.0821505
seamen	0.0820904
conscript	0.0820192
commando	0.0816952
trooper	0.0809021
"prison guard"	0.0804552
firefighters	0.079729
policeman	0.0796943
marine	0.0781249
pilot	0.0780359
aviator	0.0780103
undergraduate	0.0776222
Sergeant	0.0765598
personnel	0.0761574
freshmen	0.075923
vaulter	0.0756825
pupil	0.0754144
"staff member"	0.0752868
"medical student"	0.0746027
paratrooper	0.0742701
teacher	0.0734231
volunteer	0.0727278
grader	0.0723826
"black person"	0.0720274
firefighter	0.0717488
cadre	0.0715513
"crew member"	0.0709052
nurse	0.0704444
journalist	0.0703457
"test pilot"	0.0702851
classmate	0.0701921
"graduating class"	0.0701443
seminarian	0.0691195
bystander	0.0683497
inmate	0.0683342
"graduate student"	0.0681067
"football player"	0.067843
athlete	0.0676362
Alumni	0.0670661
instructor	0.0670309
priest	0.0669355
medic	0.0669251
counselor	0.0668001
"flight attendant"	0.0663706
"military attache"	0.0655346
engineer	0.0653518
"civil servant"	0.0650864
lifeguard	0.0648784
"science teacher"	0.0647682
"farm worker"	0.0641497
Colonel	0.0641469
crewmen	0.0640472
technician	0.0639941
missionary	0.0634407
"military academy"	0.0632846
parachutist	0.0632296
detainee	0.0631872
"business executive"	0.0628964
serviceman	0.0625068
"security guard"	0.0624494
worshiper	0.0623472
firemen	0.0623064
youngster	0.0621837
constable	0.0619317
schoolchildren	0.061878
learner	0.0616757
"elected official"	0.0616697
diplomat	0.0616216
teen-ager	0.0613301
chaplain	0.0612607
mourner	0.0611344
"altar boy"	0.0611234
"law student"	0.0611156
applicant	0.0610927
soliders	0.0608067
Lieutenant	0.0602321
"FBI agent"	0.0600755
supervisor	0.0599935
rescuer	0.0599804
"young man"	0.0599678
student-athletes	0.0597468
demonstrator	0.0595056
"public servant"	0.0593516
"intelligence agent"	0.0592903
detective	0.0592702
civilian	0.0592556
"church member"	0.0592148
militiaman	0.0591261
airman	0.0590726
"bus driver"	0.0590276
villager	0.0587921
policewoman	0.058698
protester	0.058615
"intelligence officer"	0.0584277
"au pair"	0.0582119
commander	0.0581765
"garment worker"	0.0578679
senior	0.0576951
crewmembers	0.0576426
Ileto	0.0575875
submariner	0.0574371
intern	0.0573063
youth	0.0572793
astronaut	0.0571421
teenager	0.057126
waiter	0.0570583
crewman	0.056948
armymen	0.0567951
"National Guardsmen"	0.0566269
principal	0.05653
"math teacher"	0.0563969
ensign	0.056386
commandant	0.0563445
valedictorian	0.0562027
deserter	0.0561131
marcher	0.0561009
staffer	0.0559101
"factory worker"	0.0559097
"black man"	0.0557831
"black woman"	0.0557337
"school principal"	0.0556313
"basketball player"	0.0553985
postgraduate	0.0553579
faculty	0.0552378
informer	0.0552333
dancer	0.055085
fighter	0.0549115
fireman	0.0548764
fourth-graders	0.0548626
draftee	0.0546876
solder	0.0545813
prostitute	0.0545291
Olympian	0.0544482
activist	0.0543955
Hijacker	0.0543306
mercenary	0.0543292
prisoner	0.0542946
cyclist	0.0542169
peacekeeper	0.0541761
"social worker"	0.0541666
gunmen	0.0540945
churchgoer	0.05403
parishioner	0.0539504
scientist	0.0539393
paramedic	0.0539092
monk	0.0538821
citizen	0.0538219
"prisoner of war"	0.0537862
diver	0.0537846
"dock worker"	0.0537324
scout	0.0536239
infantry	0.0535268
defendant	0.0534282
"Marine Corps"	0.0532891
physician	0.0532497
"air force officer"	0.0532094
plaintiff	0.0531092
rower	0.0530003
banker	0.0528991
immigrant	0.0528634
educator	0.0528132
academician	0.052735
female	0.0526896
MBA	0.052689
interpreter	0.052674
"fire fighter"	0.0526009
passerby	0.0525421
climber	0.0524261
passenger	0.0523828
"truck driver"	0.0523699
MP	0.0522409
headmaster	0.0522327
schoolers	0.0522296
Cop	0.0521652
worshipper	0.0521222
PFC	0.0520241
corporal	0.0519461
centenarian	0.0518596
contestant	0.051842
examinees	0.0518025
"Matthew Shepard"	0.0516874
))
(Cadillac (desc 15925.3) (sims
Acura	0.202089
Lexus	0.193008
Buick	0.185946
Mercedes	0.180725
Mercedes-Benz	0.178809
Audi	0.176904
Porsche	0.174638
Oldsmobile	0.174267
BMW	0.161869
Infiniti	0.159773
Saab	0.153714
"Mercedes Benz"	0.15298
Volvo	0.144053
Chevrolet	0.140712
Pontiac	0.139545
"Land Rover"	0.135635
Chevy	0.130439
Toyota	0.129394
Chrysler	0.121133
Honda	0.119194
Mazda	0.11866
Jaguar	0.118579
corvette	0.117088
Opel	0.115707
Saturn	0.115603
Nissan	0.114473
Volkswagen	0.113538
Bentley	0.112623
VW	0.112147
Cadillacs	0.108769
GMC	0.106379
Ford	0.106345
Peugeot	0.104436
"station wagon"	0.101913
Subaru	0.100646
convertible	0.100291
Mustang	0.100118
"Jeep Cherokee"	0.0994245
jeep	0.0986738
"Range Rover"	0.0985301
"Rolls Royce"	0.0982381
Rolls-Royce	0.0979026
"Lincoln Town Car"	0.0963731
Thunderbird	0.0959501
"Ford Explorer"	0.0928339
Sedan	0.0927584
dodge	0.0925432
impala	0.0919801
Hummer	0.0919594
Fiat	0.0918877
minivan	0.0891812
Lincoln	0.0877028
BMWs	0.0872097
rover	0.0840419
pickup	0.0830996
Porsches	0.0830913
DeVille	0.0809069
Humvee	0.0805778
Camaro	0.0805314
"Ford Mustang"	0.0803618
"pickup truck"	0.0803241
"sports car"	0.0790965
SUV	0.0786589
Ferrari	0.0782843
"Ford Taurus"	0.077415
limousine	0.0773378
"Toyota Corolla"	0.0771477
Isuzu	0.0758313
Mitsubishi	0.0753731
van	0.0746757
"Ford Expedition"	0.0734343
Plymouth	0.0733034
Taurus	0.0720411
Passat	0.0717443
"Ford Focus"	0.0706248
Renault	0.0687767
"Lincoln Navigator"	0.0687108
GM	0.0684818
truck	0.0680521
Budweiser	0.0676509
Prius	0.0672539
automobile	0.0669574
"General Motors"	0.0664647
"patrol car"	0.0664254
"Honda Accord"	0.0663983
Miata	0.065732
hearse	0.0654501
Coupe	0.0652385
Jetta	0.0639076
RV	0.0638868
"Chevrolet Suburban"	0.0637303
Motorcycle	0.0631054
"Volkswagen Beetle"	0.0631041
"passenger car"	0.0629206
Harley-Davidson	0.0625323
Skoda	0.0624204
Camry	0.0621543
"Chevrolet Monte Carlo"	0.061527
Packard	0.0613265
Levi's	0.0612392
"Honda Civic"	0.0611171
Buicks	0.0611024
Ferraris	0.0610238
mercury	0.0605586
midsize	0.0589306
tractor	0.0585501
"New Beetle"	0.0585475
"hot rod"	0.057967
NIKE	0.057936
minivans	0.0578933
DaimlerChrysler	0.0572072
two-seater	0.0568488
Limo	0.0568011
roadster	0.0566739
Hyundai	0.0556038
auto	0.0553214
SUVs	0.0550308
"race car"	0.054843
Cruiser	0.0547938
wagon	0.0542465
"Toyota Camry"	0.0541779
cab	0.0539387
"Chevrolet Blazer"	0.0537958
Corolla	0.0533291
subcompact	0.053186
"Land Cruiser"	0.0529325
"Ford Motor Co."	0.0526509
MG	0.0525649
"school bus"	0.0524557
"police car"	0.0518625
WINDSTAR	0.0511653
S@@	0.051088
Kia	0.0507744
taxi	0.0501424
taxicab	0.0495083
Santana	0.0494061
Siemens	0.0493973
bicycle	0.0493961
"stock car"	0.0492952
Pepsi	0.0488009
"tractor trailer"	0.0483518
Caddy	0.0480565
Cadbury	0.0479577
"electric car"	0.0473266
hatchback	0.0472457
Kodak	0.0471427
Suzuki	0.0469907
neon	0.0466122
"moving van"	0.0464657
docker	0.046448
trailer	0.0464431
"dump truck"	0.0464342
Snapple	0.0463519
Reebok	0.0463156
"Jeep Grand Cherokee"	0.0460745
"fire truck"	0.0457823
cart	0.0457809
"mink coat"	0.0456993
"mountain bike"	0.0455779
minibus	0.0453941
REVLON	0.0453691
MSN	0.0453333
V-@	0.045162
Harley	0.0450834
hardtop	0.0450791
Polaroid	0.0449384
GT	0.0447358
visor	0.0446119
automakers	0.0444897
"M&AMP;M"	0.0444409
"golf cart"	0.0444028
motorbike	0.0443118
Daewoo	0.0442876
rig	0.043737
Panasonic	0.0435361
"P&AMP;G"	0.0434968
condo	0.0434052
"racing car"	0.0430809
"compact car"	0.0428588
Honeywell	0.0427159
furniture	0.0424759
Compaq	0.042385
bike	0.0423403
Amway	0.0423157
Citroen	0.0422384
"fire engine"	0.0422213
Tropicana	0.0420261
Broderbund	0.0419779
coke	0.0418352
Frito-Lay	0.041826
BMG	0.0417569
locomotive	0.0414296
Boeing	0.0411466
Nabisco	0.0411352
Maxima	0.0410741
"Old Navy"	0.0409338
airplane	0.0409181
jag	0.0408451
"leather jacket"	0.0407229
biplane	0.0406281
))
(Cadillacs (desc 2778.91) (sims
Porsches	0.175072
Pontiacs	0.171953
Chevys	0.15554
BMWs	0.141023
Ferraris	0.140956
Buicks	0.121493
Cadillac	0.108769
mini-vans	0.104962
minivans	0.0870717
Hummer	0.0822774
Mercedes	0.0793503
Audi	0.0732724
"Chevrolet Suburban"	0.0715083
minibuses	0.0701346
SUVs	0.068267
sport-utility	0.0672746
Lexus	0.0668222
"fire truck"	0.0646935
Mercedes-Benz	0.0646452
"Chevrolet Blazer"	0.0645825
major-leaguers	0.0641026
QBs	0.0640593
corvette	0.0624336
Porsche	0.0614944
"Land Rover"	0.0612173
"Land Cruiser"	0.0609156
tractor-trailers	0.0597721
Jaguar	0.0596352
"Volkswagen Beetle"	0.0595818
Sedan	0.0589418
SUV	0.0582665
Bentley	0.0581042
bullfighter	0.0578706
"garbage truck"	0.0577116
spacewalkers	0.0576586
Prius	0.0576436
"compact car"	0.0572191
"Ford Explorers"	0.0571626
"sports car"	0.0570541
"sailing vessel"	0.0567086
"Jeep Grand Cherokee"	0.0565127
"race car"	0.0564076
jeep	0.0560754
"passenger car"	0.0555929
"Rolls Royce"	0.0553308
"summer house"	0.0538568
Thunderbird	0.0537188
semitrailer	0.0533295
"Ford Explorer"	0.0532807
Rolls-Royce	0.0532665
Chevy	0.0529996
"PT Cruiser"	0.052882
rickshaw	0.0523829
"Honda Civic"	0.0520863
motorbike	0.0511947
DeVille	0.0511582
metropolises	0.0507931
Heche	0.0507604
locomotive	0.0504693
resellers	0.0504225
spinoffs	0.0503967
"Ford Expedition"	0.0503476
S-@@	0.0503439
shredders	0.0503277
Coupe	0.049822
"Mercedes Benz"	0.0495921
"Ryder Cups"	0.0495364
forklifts	0.0494508
convertible	0.0492961
co-chairs	0.0492421
ESCALADE	0.0491835
"Jeep Cherokee"	0.0490751
tux	0.0489153
"electric car"	0.0482653
handhelds	0.0479395
G.M	0.0471918
"pinball machine"	0.046869
"sewing machine"	0.0467244
Alero	0.046481
"station wagon"	0.0462692
Chevrolet	0.0461135
Rockefellers	0.0461128
mini-van	0.0460879
parachutist	0.0457941
megaplexes	0.0456765
Citroen	0.0456122
goaltenders	0.0454632
limousine	0.0446054
Passat	0.0444944
Christmases	0.0444891
goalpost	0.0442108
"line of products"	0.044156
"fishing rod"	0.0441507
"Special Economic Zones"	0.0441326
schlock	0.0439877
cityscape	0.0436299
trolley	0.0435624
Bridgestone/Firestone	0.0434623
tenths	0.0433135
"city bus"	0.0431661
"business line"	0.043166
oxen	0.0431026
hearse	0.0430182
"racing car"	0.043013
vote-getters	0.0429354
"Holy Spirit"	0.0425257
minivan	0.0425063
scooter	0.0424806
"fire engine"	0.0424621
"tea set"	0.0423732
"boat race"	0.042361
"mink coat"	0.0422677
two-bedroom	0.042228
"Texas Democrats"	0.0416483
"Honda Accord"	0.0416162
"dump truck"	0.0414545
"hot pants"	0.0414242
"Chevrolet Monte Carlo"	0.0414063
frontrunners	0.0413877
"aircraft part"	0.0411704
Humvees	0.0410848
e-BOOKS	0.0410696
turbogenerator	0.0410475
"military vehicle"	0.0409135
stimuli	0.040794
emulator	0.0405532
Daimler-Chrysler	0.040377
closers	0.0403397
"Ford Focus"	0.0403263
Camaro	0.040232
"evening bag"	0.0402305
"Ford Taurus"	0.0401934
B-@s	0.0401736
))
(cadmium (desc 1887.45) (sims
chromium	0.334584
manganese	0.264472
arsenic	0.229776
Zinc	0.209818
benzene	0.198711
sulfur	0.181696
tungsten	0.177942
cyanide	0.161883
Nickel	0.147829
Boron	0.140204
Copper	0.138193
selenium	0.137634
chlorine	0.133672
mercury	0.132355
asbestos	0.131605
dioxin	0.13157
cobalt	0.129966
"organic compound"	0.12139
PCBs	0.118819
contaminant	0.118542
lithium	0.113962
magnesium	0.113729
"carbon monoxide"	0.10824
"hydrogen sulfide"	0.107863
bauxite	0.107175
impurity	0.103794
PCB	0.101466
beryllium	0.100354
dioxide	0.09407
hydrocarbon	0.0939952
chrome	0.092366
Tin	0.0922721
Duracell	0.0890291
phosphorus	0.0868187
alloy	0.0865584
carbon	0.0861135
GEMINI	0.0855778
titanium	0.0833371
platinum	0.0825635
aluminum	0.0818006
carcinogen	0.0816995
"lead poisoning"	0.0795369
garnet	0.0793496
DDT	0.0787899
"precious stone"	0.0783597
nitrogen	0.0768163
fungicide	0.0717163
"toxic waste"	0.0716889
tremolite	0.0711049
"vitamin C"	0.0701388
"vitamin E"	0.0698985
aluminium	0.0674884
ore	0.0651604
"nitric acid"	0.0650461
"Arena League"	0.0646598
pollutant	0.0645672
iodine	0.0639433
toxin	0.0637402
"B vitamin"	0.0625287
pewter	0.0620118
Sulphur	0.0616783
lycopene	0.0612604
capsaicin	0.0611667
"iron ore"	0.0609737
uranium	0.0609423
"precious metal"	0.059874
Radon	0.0598684
soot	0.0596913
"nitrogen dioxide"	0.0593921
potassium	0.0593696
SA-@	0.0592954
"mustard gas"	0.0585997
herbicide	0.0579333
nitrate	0.0573399
chloride	0.0563322
"field day"	0.0546311
listeria	0.053389
Calcium	0.0530923
quartz	0.0530596
ammonia	0.0530227
methanol	0.0529178
electrolyte	0.0528863
Deet	0.0521679
MTBE	0.0510639
"packing material"	0.0507932
cellulose	0.0504021
hGH	0.0503214
polymer	0.0496575
"nitrogen oxide"	0.0493045
Energizer	0.0486033
vinyl	0.0484785
"amino acid"	0.047757
radioactivity	0.0476403
plutonium	0.0470882
silica	0.0470847
wick	0.0461469
particulates	0.0459877
"motor oil"	0.0458782
marshland	0.045822
HDL	0.0454922
CO@	0.0450412
Motown	0.0446873
oxide	0.0442841
"vitamin A"	0.0441618
talc	0.0428675
lard	0.0420434
palladium	0.0415626
"stainless steel"	0.0406764
metallurgy	0.0404794
"sulfur dioxide"	0.0403981
))
(cadre (desc 28503.4) (sims
"civil servant"	0.116701
personnel	0.112008
technician	0.103209
"public servant"	0.09679
professional	0.095761
worker	0.0951172
"management personnel"	0.0947499
"university student"	0.0928134
teacher	0.092231
"military personnel"	0.0913451
functionary	0.0913048
member	0.090632
"military officer"	0.0904223
volunteer	0.0902051
Procurator	0.0871245
staff	0.0866562
"business executive"	0.0865083
legion	0.0863362
"staff member"	0.0856204
entrepreneur	0.0845939
"army officer"	0.0843322
student	0.0842346
officer	0.0841089
businessmen	0.0838341
Tibetans	0.0832464
"health professional"	0.0830708
businesspeople	0.0829096
"core group"	0.0822814
staffer	0.0815473
soldier	0.081078
reservist	0.0809996
laborer	0.0809598
policemen	0.0806404
"large number"	0.0804956
follower	0.0803064
farmer	0.0800261
parliamentarian	0.0798021
employee	0.0796434
"skilled worker"	0.0794033
MP	0.0793837
intellectual	0.0793744
firefighters	0.0790885
scientist	0.0789511
servicemen	0.0788309
"police officer"	0.0787246
activist	0.0779367
youth	0.0773403
academician	0.0771045
statesmen	0.0768967
clergymen	0.0765416
herdsmen	0.0755388
villager	0.0755187
corps	0.0751636
legislator	0.0747982
contingent	0.0746938
journalist	0.0746855
engineer	0.0742292
"union member"	0.0742197
militant	0.0740535
athlete	0.0740251
"business leader"	0.0737534
"college student"	0.0737396
nurse	0.0735905
coterie	0.0730658
Phalanx	0.0729986
"trade union"	0.072816
guerrilla	0.0726346
academic	0.0723756
"government officials"	0.072234
"religious leader"	0.0721864
postgraduate	0.0720894
deserter	0.07161
doctor	0.0716084
cadet	0.0715513
supporter	0.0715218
laid-offs	0.0714315
politician	0.0713566
enterprise	0.0711415
army	0.0710452
militiamen	0.0706856
educator	0.0702849
citizen	0.0701929
trainee	0.0700029
peasant	0.0697225
deputy	0.0696903
"policy maker"	0.0696615
physician	0.0695565
scholar	0.0694426
sympathizer	0.0692076
fighter	0.0691197
roomful	0.0688227
delegate	0.0684364
miner	0.0683052
practitioner	0.0680984
handful	0.0679848
"fire fighter"	0.067847
resident	0.067821
clergy	0.0677247
"factory worker"	0.0676222
dozen	0.0674872
paratrooper	0.0674488
generation	0.0674414
youngster	0.0671602
schoolchildren	0.0671143
herdsman	0.0669778
"Sri Lankans"	0.0666611
combatant	0.0664453
"industrial enterprise"	0.0663395
clique	0.0660378
organization	0.0655944
participant	0.0655348
workforce	0.065398
trooper	0.0651702
"committee member"	0.0650873
gaggle	0.0649276
pupil	0.0648661
delegation	0.0644859
representative	0.0644632
"church member"	0.0643512
civilian	0.0642833
expert	0.0640481
"political leader"	0.0640159
dignitary	0.0638818
bureaucrat	0.0636569
Liberian	0.0635736
supervisor	0.0632336
foreigner	0.0631837
terrorist	0.0631588
troop	0.0631178
commando	0.0630721
mercenary	0.0629277
rebel	0.0628719
leadership	0.0626997
graduate	0.0626893
"military man"	0.0623516
"farm worker"	0.0621205
applicant	0.0619674
sailor	0.0618752
"school teacher"	0.0617659
Filipino	0.061679
infiltrator	0.0616508
thousand	0.0616173
Zambian	0.0615869
associate	0.0614864
"senior citizen"	0.0613527
retiree	0.0611947
shuttlers	0.0611814
elder	0.0611023
cleric	0.0608594
Mozambican	0.0607999
"coal miner"	0.0606069
"cabinet minister"	0.0605599
pensioner	0.0605588
individual	0.0604662
Programmer	0.0604246
Moslem	0.0603688
elite	0.0603384
settler	0.0603148
"local government"	0.0602369
Chinese	0.0601999
veterinarian	0.060169
pilot	0.0601079
soliders	0.0600874
armymen	0.0599932
manager	0.0599575
"armed forces"	0.059921
procuratorates	0.0599056
tourist	0.059802
lawmaker	0.0596651
Ugandan	0.059636
bomber	0.0595999
minority	0.0594659
migrant	0.059443
Manpower	0.0593564
"faculty member"	0.0593005
administrator	0.0592244
missionary	0.0591138
"elected official"	0.0590373
hundred	0.0589874
Haitian	0.0589769
congressmen	0.0588913
"medical institution"	0.0587192
craftsmen	0.0586371
"police force"	0.0584534
demonstrator	0.0583582
"crew member"	0.0581133
Alumni	0.0580284
"truck driver"	0.0580271
specialist	0.0580231
researcher	0.0578989
priest	0.057855
"computer programmer"	0.0577392
Industrialist	0.0577374
dissident	0.0576363
Kurds	0.0575288
enumerators	0.0573961
breed	0.0573815
police	0.057356
committee	0.0573487
"labor force"	0.0573433
))
(Caen (desc 1195.66) (sims
"Paris St Germain"	0.103408
Charleroi	0.10213
Auxerre	0.0952049
Trondheim	0.0895828
Guayaquil	0.0888609
Bastia	0.0886499
"Crystal Palace"	0.0870782
Fulham	0.0867873
Toulon	0.0864751
Oro	0.0854122
"Real Betis"	0.0832163
Bilbao	0.0824222
Casas	0.0819796
Haicheng	0.081961
"Olympique Marseille"	0.0787788
Sidon	0.0777212
Avignon	0.0775604
"Yediot Ahronot"	0.0771362
Palembang	0.0770868
Antalya	0.076271
"Borussia Moenchengladbach"	0.0762005
Fredericksburg	0.0724278
Macoris	0.0723929
"Boca Juniors"	0.0723428
Vukovar	0.0722022
"San Cristobal"	0.0720626
Torino	0.0718461
Montpellier	0.0717016
Salernitana	0.0712602
Espanyol	0.0704928
Vitoria	0.070168
"VfB Stuttgart"	0.0701267
Kizlyar	0.0696829
Leskovac	0.0694647
Mosul	0.0693298
Malaga	0.0688586
Como	0.0681348
Antioch	0.0677422
Metz	0.0674254
"Chinese Army"	0.0673887
Calais	0.066946
Jinja	0.0669437
Guadalajara	0.0668801
Newell	0.0668405
Juba	0.0663898
Watford	0.0659653
Besiktas	0.0656714
Salonica	0.0654346
Baalbek	0.0651038
Lugano	0.0650051
Toulouse	0.0647169
"San Sebastian"	0.0644589
Datong	0.0644509
"Schalke @@"	0.0643565
Marseilles	0.0640576
Kandy	0.0638052
Portsmouth	0.0636389
Changzhou	0.0635782
Liege	0.0635374
Samara	0.0634779
"San Pedro Sula"	0.0632573
Sharjah	0.0627104
Catania	0.0625206
Moncton	0.0621935
Jenin	0.0617854
Nagoya	0.061506
Batticaloa	0.0614315
Izmir	0.0612832
Nantes	0.0608131
Fenerbahce	0.0605434
Strasbourg	0.0600063
"VfL Wolfsburg"	0.0599846
Beersheba	0.0599737
Cali	0.0598263
Aswan	0.0593538
Avila	0.0582725
Karbala	0.0576227
Rostock	0.0574964
Maribor	0.0568997
Flagstaff	0.0568561
Rennes	0.0567729
"Celta Vigo"	0.0563863
Quetta	0.0562433
"Saratoga Springs"	0.0561063
Fushun	0.0559843
"Nottingham Forest"	0.0556845
Lille	0.0555925
Khabarovsk	0.0554122
Zaragoza	0.0551044
Manado	0.0549878
Anderlecht	0.0549629
Vladikavkaz	0.0548333
Multan	0.0548306
L'Equipe	0.0545239
Mbarara	0.054372
Nijinsky	0.0541107
"Port Elizabeth"	0.0540167
Brondby	0.0540154
Longview	0.0537652
Urus-Martan	0.0536804
BRIGHTON	0.0536231
Novosibirsk	0.0535905
Tapachula	0.0535321
Saida	0.0534639
Perugia	0.0531656
Nuremberg	0.0529136
"Beijing Guo"	0.0528508
"Deportivo La Coruna"	0.0526775
Dijon	0.0526668
Maastricht	0.0524955
Leavenworth	0.0524125
Qom	0.0523472
Dresden	0.0522987
"Slavia Prague"	0.0522647
Obilic	0.051879
Dandong	0.0514625
Mbale	0.0513591
Kabwe	0.0513434
McMurtry	0.0513203
Junger	0.0512652
G@@	0.0512161
Venezia	0.0512091
Diyarbakir	0.0511896
"Blackburn Rovers"	0.0511318
Lubbock	0.0511241
Basra	0.0511218
hieroglyphic	0.0510981
Kismayu	0.0509267
Luoyang	0.0509153
Matadi	0.050884
Manta	0.050643
"Le Figaro"	0.0505469
Puzo	0.0504396
Porto	0.0503604
Piraeus	0.050345
Petra	0.0503414
Tarzana	0.050335
Ithaca	0.0503163
Eszterhas	0.0502798
Palma	0.0501211
Jinzhou	0.0498437
Heaney	0.0493878
Harlingen	0.0493207
"Sichuan Quanxing"	0.0492419
Aachen	0.049049
editorialist	0.0490469
Cagliari	0.0488652
"El Pais"	0.0488384
Karlsruhe	0.0487962
Lhokseumawe	0.048696
Nago	0.048494
Huangshan	0.0483144
Piacenza	0.0483068
Weimar	0.0482216
Matamoros	0.0482011
Christchurch	0.0481834
Dortmund	0.0480577
Najaf	0.0479179
"E.B White"	0.0478657
Linz	0.0477658
Duluth	0.0476713
"FC Porto"	0.0475368
Panzhihua	0.0474514
Merida	0.0473965
Bulawayo	0.0473805
"Red Star"	0.0473034
Bloemfontein	0.0471299
Biloxi	0.0470873
"PSV Eindhoven"	0.04705
Gisenyi	0.0470054
Krasnoyarsk	0.0469857
Haifa	0.0468201
Sapporo	0.046725
Oviedo	0.0465906
Acapulco	0.0465703
Ensenada	0.0464566
"St. Helena"	0.0463312
Yangzhou	0.0462374
Beaufort	0.0461288
Kitwe	0.0460338
Murmansk	0.0460299
Brokaw	0.0459628
"Glasgow Rangers"	0.0457539
"Niagara Falls"	0.0455842
Norwich	0.0455479
Golmud	0.045412
Graz	0.0452766
Mashhad	0.0452759
Nacional	0.0451087
Yonkers	0.0449331
monde	0.044914
"Santa Cruz"	0.0448782
"Le Monde"	0.0448533
Gerstner	0.0447581
"AEK Athens"	0.0447097
Salonika	0.044671
"Velez Sarsfield"	0.0445225
Trincomalee	0.0444969
Rawalpindi	0.0444825
Plata	0.0444821
))
(Caesar (desc 7389.86) (sims
"Caesars Palace"	0.0797859
"Mandalay Bay"	0.0657168
Bellagio	0.062251
"King Letsie III"	0.0561248
"Treasure Island"	0.0545972
"Julius Caesar"	0.0509406
Mirage	0.049234
Bestfoods	0.0490779
Aladdin	0.0474195
Hilton	0.0471789
"MGM Grand"	0.0465057
"MediaOne Group"	0.0455972
Napoleon	0.0454018
Ceausescu	0.0445831
"Lee Harvey Oswald"	0.0443781
NatWest	0.0443681
"Rolls-Royce Motor Cars"	0.0437957
Moxley	0.0436285
pharaoh	0.0430367
Godot	0.0425951
Macbeth	0.0425079
"black person"	0.0420973
Sadat	0.0419877
Slepian	0.0413592
Rabin	0.0413447
VoiceStream	0.0412115
monarch	0.0410276
))
("Caesar salad" (desc 2712.42) (sims
paella	0.181095
enchilada	0.149657
cutlet	0.142441
meatloaf	0.14234
salad	0.139396
fajitas	0.129606
focaccia	0.123814
"green salad"	0.118183
"chicken sandwich"	0.111202
quesadillas	0.110164
risotto	0.110061
pasta	0.106989
burgers	0.106965
meatball	0.106708
"chicken wing"	0.106467
pie	0.105761
cheeseburger	0.105125
omelet	0.104485
"french fries"	0.104237
cornbread	0.103193
sandwich	0.102649
"macaroni and cheese"	0.101501
taco	0.10121
soup	0.1009
pizza	0.10015
nacho	0.099812
"fruit salad"	0.0988168
low-fat	0.0977462
cheesecake	0.0975463
chutney	0.0959072
steak	0.0943924
Lasagna	0.0938776
Burrito	0.0936368
quiche	0.093156
ravioli	0.0930624
"chicken salad"	0.092417
Tamale	0.0919274
pancake	0.0910217
calamari	0.0909799
"potato salad"	0.0908268
spaghetti	0.0903866
bruschetta	0.0903296
"French toast"	0.090121
"filet mignon"	0.0898051
"rack of lamb"	0.0893935
Hamburger	0.0891998
Casserole	0.0889065
kebab	0.0886783
pastry	0.0874857
Souffle	0.0862661
sausage	0.0854838
"meat loaf"	0.0854641
sushi	0.0854344
"ice cream"	0.0849819
"hot dog"	0.0849785
takeout	0.0848261
"red snapper"	0.0847416
drumstick	0.0830274
filet	0.0829168
shortcake	0.0828686
COBBLER	0.0816503
condiment	0.0814742
bagel	0.0814325
noodle	0.0809041
gumbo	0.0808302
seafood	0.0801782
queso	0.0798778
"cream puff"	0.0796026
"leg of lamb"	0.079157
hummus	0.0790354
"spring roll"	0.0788436
tortellini	0.0788133
Sirloin	0.0787325
gizzard	0.0782662
biscuit	0.0781968
frittata	0.0778666
milkshake	0.0773614
birdbath	0.0772539
"chocolate cake"	0.077241
"chicken breast"	0.0771701
"chocolate mousse"	0.0764596
TARTARE	0.076451
"salad dressing"	0.0761884
"pot roast"	0.0757635
ham	0.0753139
asparagus	0.0749326
scone	0.0748954
mousse	0.0747753
"vegetable soup"	0.0745084
flan	0.0744559
Parmesan	0.0740515
halibut	0.0739417
Chili	0.0731711
Pudding	0.0730572
"pound cake"	0.0728797
slaw	0.0725783
penne	0.0722786
mayonnaise	0.0712331
"baked goods"	0.0706379
"roast beef"	0.0705871
vinaigrette	0.0703621
"pumpkin pie"	0.0701106
"apple pie"	0.0698494
"frozen yogurt"	0.0698473
"cream sauce"	0.0697989
macaroni	0.0696621
plantain	0.0696412
croissant	0.0694949
"pork tenderloin"	0.0693975
TART	0.0692771
dessert	0.0689242
salsa	0.0688457
"iced tea"	0.0688118
brownie	0.068736
"pecan pie"	0.0683737
gravy	0.0664895
bun	0.0664445
cooky	0.0662628
"chocolate chip cookie"	0.0662323
"fish fillet"	0.0662277
"goat cheese"	0.0660696
coleslaw	0.0659081
dumpling	0.0658478
custard	0.065839
"smoked salmon"	0.0654424
Jell-O	0.0654013
bisque	0.0653594
chowder	0.0643155
tofu	0.063345
patty	0.0633382
bacon	0.0631863
Catfish	0.0629255
tenderloin	0.0628431
"peanut butter"	0.0627671
"beef tenderloin"	0.0625803
artichoke	0.0623003
curry	0.0619063
burger	0.0617657
snack	0.0617411
doughnut	0.0611952
"pie crust"	0.0611684
"sour cream"	0.0611677
"potato chip"	0.0610839
"snack food"	0.0609083
waffle	0.0607855
brisket	0.0600053
"blue cheese"	0.059758
dough	0.0596509
marinade	0.0595177
crepe	0.0592154
muffin	0.0591719
confit	0.0591678
sorbet	0.0590942
pickle	0.0589045
tuna	0.0586077
"whipped cream"	0.0584939
swordfish	0.0581875
spinach	0.0580408
sundae	0.0571729
yogurt	0.0571155
pastrami	0.0565943
broth	0.056505
appetizer	0.0559497
"vanilla ice cream"	0.0559441
cupcake	0.0555835
polenta	0.0555564
"sea bass"	0.0551522
crostini	0.0548052
"chili pepper"	0.0544606
"barbecue sauce"	0.0539379
"canned food"	0.0537765
horseradish	0.053567
"collard greens"	0.0535398
entree	0.0534341
jelly	0.0530687
porridge	0.0529695
"spaghetti sauce"	0.0527243
pesto	0.0527069
okra	0.0526507
POTATOES	0.0524701
"ground beef"	0.0524525
teriyaki	0.0524204
gratin	0.0523837
latte	0.05211
pilaf	0.0519523
"cold cuts"	0.0518227
"hard-boiled egg"	0.0517921
prosciutto	0.0517233
"side dish"	0.0517048
"hot sauce"	0.0515118
mango	0.0510578
"foie gras"	0.0510525
verde	0.0505911
"wild rice"	0.0505727
"raw meat"	0.0504845
Twinkies	0.0504565
pretzel	0.0501571
cookie	0.0500722
matzo	0.0499493
cilantro	0.0496365
))
(Caesarean (desc 1208.15) (sims
C-section	0.483607
"caesarean section"	0.164566
angioplasty	0.142776
vasectomy	0.14021
drive-by	0.118668
recidivism	0.117914
mastectomy	0.111317
circumcision	0.109797
"space walk"	0.107577
SIDS	0.104576
relapse	0.0977487
"surgical procedure"	0.0931434
LASIK	0.0928362
sidearm	0.0892047
"cosmetic surgery"	0.0879269
biopsy	0.086695
homeownership	0.0861222
hospitalization	0.0842103
hernia	0.0827296
gallstone	0.0820858
mammography	0.080399
triage	0.07915
CPR	0.0789648
gallbladder	0.0789253
spacewalks	0.0788717
intermarriage	0.078163
liposuction	0.0764743
"skin cancer"	0.0764044
spacewalk	0.0747044
"kidney stone"	0.073762
Chukwu	0.0723039
"face lift"	0.0722591
transfusion	0.0710699
Inoculation	0.070909
striptease	0.0675973
"lead poisoning"	0.0669219
morbidity	0.0665475
recurrence	0.0657115
incarceration	0.065558
cataract	0.0653299
trimming	0.0647817
u-turn	0.0643001
"fatal accident"	0.0642547
absenteeism	0.0641904
"rate rise"	0.0640343
"cancer death"	0.0633731
gonorrhea	0.0628794
murder-suicide	0.0625418
mechanization	0.0623173
downtime	0.061878
enrolment	0.0618556
miscarriage	0.0613758
evaporation	0.0612826
augmentation	0.0610786
vaccination	0.0606791
triplet	0.0603031
sterilization	0.0601837
delinquency	0.0596792
"asset sale"	0.059389
overexposure	0.0593642
reassignment	0.059078
"civic duty"	0.0590651
spraying	0.0575504
"bankruptcy filing"	0.057212
photosynthesis	0.0566276
T-bill	0.0559652
"venereal disease"	0.0557253
extraction	0.0556065
Hula	0.0555276
"Census @@@@"	0.0555228
six-inch	0.0554231
"over @"	0.0551933
"work stoppage"	0.0551519
curbside	0.0541682
SBA	0.053899
"dog bite"	0.0536127
"power failure"	0.0527725
"Subway Series"	0.0527311
singsong	0.0526145
aggravation	0.0525756
obeisance	0.0524956
nine-hour	0.0524418
incumbency	0.0524311
roughness	0.052239
"artificial insemination"	0.0521913
downturns	0.0518539
"asthma attack"	0.0518155
obsolescence	0.0518001
lifesaving	0.0515829
IDD	0.0515768
resuscitation	0.0515313
"working day"	0.0513802
C-@@@J	0.0513564
airdrop	0.051296
"water filter"	0.051095
make-over	0.0509648
FOREX	0.0509645
Gibbons	0.0507822
"full term"	0.0506527
"hostile takeover"	0.0504664
"speeding ticket"	0.0502325
enlistee	0.0502057
recycling	0.0501875
Haj	0.0497118
"military drill"	0.0495911
exhumation	0.0495333
sunburn	0.0494804
syphilis	0.049397
immunization	0.0493911
CPF	0.0491965
"sexually transmitted disease"	0.0491544
overdraft	0.0491214
decertification	0.0490162
Truancy	0.0489025
"damage control"	0.0488031
self-examination	0.0487786
maquiladoras	0.0484839
cartwheel	0.0483083
"customer complaint"	0.0482168
radiotherapy	0.0480248
"interest rate increase"	0.0477501
incontinence	0.0476914
"cardiovascular disease"	0.0476765
A@XX	0.0476219
washout	0.047452
exorcism	0.0474259
pruning	0.0474192
Burnout	0.0472336
dialysis	0.0471755
"Monetary Policy Committee"	0.047053
"policy change"	0.0469669
fertilization	0.0467991
joblessness	0.0467532
"Desert Fox"	0.0467483
"rate hike"	0.0467115
"heroin addiction"	0.0465058
"medical exam"	0.0463768
atherosclerosis	0.0463007
four-inch	0.0462425
mitzvah	0.0461039
"plastic surgery"	0.0459587
pushup	0.0459552
"capital gains tax"	0.045944
"tax hike"	0.0459068
forklift	0.0455709
side-effects	0.0454142
"National Missile Defense"	0.0453073
cremation	0.0451544
postmortem	0.0449475
Miata	0.0448891
frill	0.0446185
mammogram	0.0445219
"stock buyback"	0.0444235
"shuttle bus"	0.0444129
"more than six"	0.0443778
"tax change"	0.0441531
capella	0.044028
combing	0.0440033
spaceflight	0.0439275
"management expert"	0.0438339
SBI	0.0436984
oversimplification	0.0436655
pre-Christmas	0.0434766
"Bank of Canada"	0.0434533
eight-hour	0.0432913
multichannel	0.0432829
amputation	0.0431384
polyp	0.0430263
"Passion play"	0.0428442
"blood clot"	0.04281
"Reserve Bank of India"	0.0427948
sub-par	0.0427214
"value added tax"	0.0425723
transnationals	0.0424433
overkill	0.0423187
insulin	0.0422777
"name change"	0.0422012
shipbuilder	0.0421998
spreader	0.0421879
"spending cut"	0.0421521
AGL	0.0420969
retrenchment	0.0420915
eviction	0.0420348
"Balanced Budget Act"	0.0419598
facelift	0.0416569
hindsight	0.0416236
melanoma	0.0415495
regionalization	0.0414172
STD	0.0414094
pirouette	0.0413078
ignominy	0.0411573
overheating	0.041064
"defense mechanism"	0.0408247
victimization	0.0407453
seven-hour	0.0406792
"hot flash"	0.040512
"medical checkup"	0.0404976
"rest day"	0.0403943
Chlamydia	0.040392
"fishing license"	0.0401859
))
("caesarean section" (desc 2585.82) (sims
C-section	0.182008
Caesarean	0.164566
"artificial insemination"	0.105124
angioplasty	0.0994765
"plastic surgery"	0.0878399
vasectomy	0.0810638
"surgical procedure"	0.0749739
"medical checkup"	0.0749453
"medical exam"	0.0715057
CPR	0.0702615
resuscitation	0.0681827
"space walk"	0.0679112
"cosmetic surgery"	0.0668127
triage	0.0668025
LASIK	0.0649804
"medical examination"	0.0627759
"magnetic resonance imaging"	0.0594552
amputation	0.0584728
striptease	0.0579956
spacewalks	0.0569032
happenstance	0.0548824
ophthalmology	0.054858
mammography	0.0545744
"fire drill"	0.0541824
u-turn	0.053925
"health check"	0.0538582
make-over	0.0522039
"internal medicine"	0.052155
"Miami Fusion"	0.0517591
liposuction	0.0511289
hospitalization	0.0501862
mammogram	0.0501223
biopsy	0.0494212
postmortem	0.0493909
"civic duty"	0.0493085
"medical check-up"	0.0487541
Contraception	0.0480902
miscarriage	0.0473445
"street address"	0.0471616
mastectomy	0.0469778
checkup	0.0455752
"giving birth"	0.0448584
augmentation	0.0448411
"face lift"	0.0431104
oncologist	0.0429307
airdrop	0.0429097
endocrinology	0.0425617
dialysis	0.0423132
"cancer death"	0.0420453
"drilling rig"	0.0420226
"heart failure"	0.0419286
detoxification	0.0407568
recidivism	0.0406714
Haj	0.0405029
"Dirty Bird"	0.0404505
Khaddam	0.0400952
"value added tax"	0.0400791
))
("Caesars Palace" (desc 2151.26) (sims
"Mandalay Bay"	0.236416
"MGM Grand"	0.203468
Bellagio	0.141681
Mirage	0.108105
Foxwoods	0.0914456
"Treasure Island"	0.0871158
"Consumer Electronics Show"	0.0837722
"Suffolk Downs"	0.0824057
Caesar	0.0797859
"U.N. Headquarters"	0.0794267
Stardust	0.075741
"Lake Tahoe"	0.0718515
hotel-casino	0.071467
"Gulfstream Park"	0.0708457
"John F. Kennedy Library"	0.0704774
Hilton	0.0642494
"Melbourne Cricket Ground"	0.0628628
"Georgia World Congress Center"	0.0611485
"Oba Carr"	0.0604654
"Hilton Hotel"	0.0596341
"RFK Stadium"	0.0595985
"Presidential Palace"	0.0595139
"Georgia Dome"	0.0573601
"Riverside Church"	0.0568874
"Westminster Abbey"	0.0564648
"auction block"	0.0564098
"Longwood Cricket Club"	0.0561466
"Sheraton Hotel"	0.0556853
Versailles	0.055316
Gulfstream	0.054911
"Diaoyutai State Guesthouse"	0.0542624
"MCI Center"	0.0537787
"minor-league team"	0.053377
"National Tennis Center"	0.0528389
"Le Cirque @@@@"	0.0527634
"Ritz-Carlton Hotel"	0.0523925
"World Basketball Championship"	0.051398
"Hong Kong Convention and Exhibition Center"	0.0511914
"Indian Wells"	0.0509556
"Waldorf-Astoria Hotel"	0.0508022
Saint-Denis	0.0506787
"Sahalee Country Club"	0.0504937
"Foxboro Stadium"	0.0501999
"Holiday Inn"	0.0499576
"Stade de France"	0.0492571
"Henry Akinwande"	0.0492347
"Convention Center"	0.0484386
"Lambeth Conference"	0.0482976
"Seasons Hotel"	0.0481968
flamingo	0.0478369
"Las Vegas Motor Speedway"	0.0475541
"Rivers Stadium"	0.0475435
"Wembley Stadium"	0.0474313
"Great Western Forum"	0.047334
Kuching	0.0470908
"Jomo Kenyatta International Airport"	0.0468696
Erez	0.0466621
"National Stadium"	0.0463053
"Stade Velodrome"	0.0461921
"Melbourne Park"	0.0459485
"Paulie Ayala"	0.0459252
"funeral home"	0.0455026
"Soldier Field"	0.0454016
"Joe Louis Arena"	0.0447967
"Francois Botha"	0.0443049
Waldorf-Astoria	0.0441056
Sheraton	0.0440283
Sahara	0.0431144
"Dorothy Chandler Pavilion"	0.0430032
"America West Arena"	0.0426683
"First Baptist Church"	0.0423522
"Villa Park"	0.0422935
"Orlin Norris"	0.0422556
"Blair House"	0.0417712
"University of New Hampshire"	0.0416826
"World Figure Skating Championships"	0.0416202
"LA COSTA"	0.0416054
Ritz-Carlton	0.0414645
Ruehe	0.041383
"Johnson Space Center"	0.0413292
riverboat	0.0412716
"conference center"	0.0412661
Luxor	0.0408021
Zhongnanhai	0.0407211
FleetCenter	0.0403555
))
(CAF (desc 2283.19) (sims
OCA	0.174884
F.A	0.15045
FA	0.139655
UEFA	0.13854
DFB	0.133165
ISU	0.131698
FIFA	0.129712
"Football Association"	0.129084
"Olympic Council of Asia"	0.127341
"U.S. Soccer Federation"	0.125305
"U.S. Immigration and Naturalization Service"	0.12486
FIVB	0.124534
UCI	0.120333
ZCTU	0.117412
NARAL	0.116755
"Asian Football Confederation"	0.116216
ITF	0.115505
"International Tennis Federation"	0.114514
"U.S. Golf Association"	0.106976
"International Skating Union"	0.106434
"USA Basketball"	0.106318
IAAF	0.106068
COSATU	0.105831
USGA	0.103536
"U.S. Administration"	0.103327
FIBA	0.10298
"EU Commission"	0.100225
MPLA	0.0994573
"Australian Olympic Committee"	0.0985655
NLD	0.0980657
CPV	0.0980221
"Medical Society"	0.0962948
FINA	0.0953996
"International Amateur Athletic Federation"	0.0938901
CMA	0.0934409
"Defense Agency"	0.0933232
"International Cycling Union"	0.0922603
ACP	0.0916974
"Israeli Foreign Ministry"	0.0909903
USOC	0.0908698
"Board of Supervisors"	0.0895467
CFA	0.0884353
FIA	0.08816
Lamberth	0.0878523
Nickerson	0.0873532
ACWF	0.0865538
OAS	0.0859252
USATF	0.0853815
CNOOC	0.0850936
CNPC	0.0846289
CIRC	0.0845399
"Philippine Senate"	0.0819492
"Agriculture Ministry"	0.0819298
Confederation	0.0817485
CAA	0.0802081
ICC	0.0799894
CBI	0.07974
"British government"	0.0795867
CONCACAF	0.0795224
UNAMET	0.0794931
"International Ski Federation"	0.0792061
"American Bar Association"	0.0790692
UPU	0.0784594
CWA	0.07835
MTA	0.0781148
BOC	0.0780786
SLOC	0.0779552
ITC	0.0779011
SJC	0.0776772
"Israeli Army"	0.0775083
BOI	0.0773832
PBSI	0.0771727
EBRD	0.077066
ITTF	0.0770575
AFA	0.0769965
KONI	0.0762998
"U.S. Olympic Committee"	0.0762763
"Vietnam Airlines"	0.0762477
ICA	0.076152
ICBC	0.0760038
IGC	0.0756667
"Nuclear Regulatory Commission"	0.0751009
"American Heart Association"	0.0749641
JAL	0.0748088
"Labor Ministry"	0.0747788
NRC	0.0746547
IDB	0.0745227
IEA	0.0742797
"Israeli Cabinet"	0.0740307
CCB	0.0737275
"Home Ministry"	0.0733696
"British Foreign Office"	0.0731914
CPAFFC	0.0724608
CSE	0.0721457
AFL-CIO	0.0719453
"United States Congress"	0.071735
ACOG	0.0716796
NHRA	0.0714191
CSA	0.0713738
"Nevada Athletic Commission"	0.0711458
"Health and Welfare Ministry"	0.0709443
CalPERS	0.0709327
"Board of Elections"	0.0707928
UNIP	0.0705768
NASD	0.0702025
"Labor office"	0.0701291
Evert	0.0700906
ABA	0.0700667
"Ethics Commission"	0.0700667
"Salt Lake Organizing Committee"	0.0698639
FIS	0.0696965
"Food and Drug Administration"	0.0693251
"Culture Ministry"	0.0692114
NCEC	0.069019
Scalfaro	0.0689984
GSS	0.0685775
FOMC	0.0684318
UMNO	0.0682822
LAUSD	0.0682672
"Commerce Ministry"	0.0682312
NSC	0.0682208
"Nevada State Athletic Commission"	0.0681163
ACFTU	0.06794
"Supreme Judicial Court"	0.0679126
"Russian Defense Ministry"	0.0678418
UUP	0.0676998
APA	0.067572
"International Badminton Federation"	0.0675222
CEC	0.0674243
"Gulf Air"	0.0672763
"patent office"	0.0667842
CDU	0.0667165
SDB	0.0667125
HKFA	0.0665883
"National Research Council"	0.0660112
"Supreme Council"	0.0659556
FRELIMO	0.0657463
CASS	0.0652293
IAI	0.0650806
"Hearst Magazines"	0.0650718
"United Way"	0.0650585
"Independent National Electoral Commission"	0.0649933
"Organizing Committee"	0.0649279
KPU	0.0647985
"Congress Party"	0.0647944
"International Amateur Athletics Federation"	0.0647368
OPIC	0.0645414
"Transport Ministry"	0.0645328
Baer	0.0640365
"Ford Motor Company"	0.0639674
PASOK	0.0636827
CSC	0.0636344
"Constitutional Court"	0.0634233
"European Commission"	0.0630582
UNICEF	0.0629917
"American Academy of Pediatrics"	0.0629843
"Chinese Olympic Committee"	0.0629206
"Screen Actors Guild"	0.0628137
"Truth Commission"	0.0628081
"International Olympic Committee"	0.0627251
"Law Lords"	0.0623512
EC	0.062329
SPS	0.062217
SCLC	0.062165
"Civil Aviation Authority"	0.0621238
"International Society"	0.0620645
"U.S. Chamber of Commerce"	0.0619053
teamster	0.0618759
"National Collegiate Athletic Association"	0.061826
FRA	0.0618138
PDVSA	0.0617171
"Turkish Foreign Ministry"	0.0616391
Bundestag	0.0616074
"U.S. Defense Department"	0.0616027
CPPCC	0.0616024
ECB	0.0614467
Ikeda	0.0612096
"Association of Flight Attendants"	0.0611861
ama	0.061075
"International Red Cross"	0.0607778
PUC	0.0607552
"Badminton Association of Indonesia"	0.0606228
"Arab League"	0.060555
IBF	0.0603899
"Macao Government"	0.0603765
"National Association of Securities Dealers"	0.0603056
Cathay	0.060152
INRO	0.0601257
"Monetary Policy Committee"	0.0601165
PECC	0.0600018
Ryder	0.0599316
"Australian Cricket Board"	0.0599019
Genzyme	0.059882
"Department of Health"	0.0598661
FDA	0.0598177
DLC	0.0598072
IFP	0.0597987
Eximbank	0.0595001
guild	0.0594875
"Joint Military Commission"	0.0594493
))
(cafe (desc 63806.3) (sims
restaurant	0.230215
"coffee shop"	0.174551
shop	0.16782
bar	0.161556
pub	0.160369
tavern	0.146005
hotel	0.145909
cafeteria	0.14001
bistro	0.13573
deli	0.133692
store	0.128503
boutique	0.128427
bookstore	0.128344
nightclub	0.126971
"grocery store"	0.12608
apartment	0.12229
"art gallery"	0.121014
"movie theater"	0.120889
"dining room"	0.120494
"convenience store"	0.120223
parlor	0.119911
bakery	0.11898
eateries	0.118785
"gift shop"	0.113731
lounge	0.113165
"shopping center"	0.112828
gallery	0.112619
"shopping mall"	0.111088
coffeehouse	0.11034
diner	0.110117
supermarket	0.109927
salon	0.109285
ballroom	0.108875
motel	0.108837
hall	0.108443
"gas station"	0.108436
gym	0.107426
theater	0.107318
mall	0.1054
"liquor store"	0.105376
"department store"	0.104869
room	0.104609
cave	0.103899
"clothing store"	0.10298
auditorium	0.102965
"conference room"	0.102601
inn	0.102408
"dance hall"	0.102331
park	0.101527
garden	0.10097
library	0.0996116
"hardware store"	0.0990021
studio	0.0983191
building	0.0983115
museum	0.0971418
saloon	0.0968281
"office building"	0.0967362
delicatessen	0.0962636
kiosk	0.0953109
house	0.0947447
pizzeria	0.094216
Warehouse	0.0933232
"beauty salon"	0.0931672
garage	0.0913663
club	0.0912195
mansion	0.0903905
home	0.0901757
kitchen	0.0899191
"apartment building"	0.0895488
discotheque	0.0890405
storefront	0.0886437
church	0.0885412
"general store"	0.0885399
mosque	0.088302
"parking lot"	0.0880944
booth	0.0879603
"bowling alley"	0.087546
cemetery	0.087265
"post office"	0.0872021
drugstore	0.086754
office	0.0863587
Casino	0.0860803
chapel	0.0847454
resort	0.0846476
Steakhouse	0.0846188
plaza	0.0841564
palace	0.0839983
courtyard	0.0838196
disco	0.0835173
arcade	0.083509
complex	0.0832223
street	0.0829984
bedroom	0.082991
stall	0.0829871
"movie house"	0.0825352
"living room"	0.0819983
hallway	0.0817435
Villa	0.0816103
stalls	0.0813435
"truck stop"	0.0812994
SPA	0.0809122
tent	0.0806971
cottage	0.0806844
"community center"	0.0804446
"concert hall"	0.0804311
square	0.0804117
"hotel room"	0.0802441
cinema	0.0800488
teahouse	0.0800305
center	0.0799306
"dining area"	0.0791376
brothel	0.0788681
loft	0.0783447
cabin	0.0780402
"repair shop"	0.0774524
residence	0.0774431
neighborhood	0.0766125
"amusement park"	0.0763252
synagogue	0.076083
"police station"	0.0758436
clinic	0.0757755
"swimming pool"	0.0757231
lobby	0.0755618
Pharmacy	0.0754373
emporium	0.0754266
classroom	0.0754101
Brasserie	0.0752268
outlet	0.0751354
"toy store"	0.0750593
Tower	0.0746007
suite	0.0745084
MCDONALD's	0.0742538
condominium	0.0736286
showroom	0.0736067
hospital	0.0732687
shelter	0.0731264
grotto	0.0727241
townhouse	0.0723424
village	0.0720202
winery	0.071943
spas	0.0718248
factory	0.0718039
patio	0.0717318
amphitheater	0.0717261
hut	0.0717177
courtroom	0.0716624
farm	0.0716374
pavilion	0.0716091
gymnasium	0.0715864
Alley	0.0707789
terrace	0.0705477
"specialty store"	0.070243
"shoe store"	0.0701131
Starbucks	0.0700133
"bus station"	0.0699754
temple	0.0698727
lodge	0.0696058
space	0.069591
table	0.0694671
pond	0.0693593
tomb	0.0691152
"service station"	0.0688334
beach	0.0685007
bookshop	0.0684499
playground	0.0680295
"theme park"	0.0678232
"retail store"	0.0677955
station	0.0677177
"jewelry store"	0.0673748
shack	0.0673134
"conference center"	0.0671276
stadium	0.0670737
bungalow	0.0670673
Marina	0.0670051
school	0.0670011
"recording studio"	0.0669899
pool	0.0668862
Cathedral	0.0668632
"polling station"	0.0668482
farmhouse	0.0665837
"city hall"	0.066518
"train station"	0.0663378
joint	0.0662902
arena	0.0662053
courthouse	0.0661838
dormitory	0.0660848
condo	0.0656325
sidewalk	0.0655832
headquarter	0.0654239
site	0.0652959
trailer	0.065274
"golf course"	0.0650718
bathroom	0.0647814
grocery	0.0644751
boulevard	0.0644477
hangout	0.064436
area	0.064292
"subway station"	0.0642183
airport	0.0640812
tunnel	0.0639393
))
(cafeteria (desc 24140.8) (sims
"dining room"	0.146723
auditorium	0.14655
restaurant	0.143081
cafe	0.14001
gymnasium	0.13116
hallway	0.127383
"conference room"	0.126984
"coffee shop"	0.124843
deli	0.124238
library	0.123064
classroom	0.12099
"recreation room"	0.120387
lounge	0.117465
gym	0.115194
hall	0.111843
kitchen	0.111513
"parking lot"	0.109457
ballroom	0.109109
"grocery store"	0.108106
pub	0.106444
lunchroom	0.105171
dormitory	0.104715
gymnasiums	0.104465
"convenience store"	0.10412
room	0.101891
lobby	0.101863
"movie theater"	0.101364
shop	0.101264
"living room"	0.0990351
canteen	0.0988382
parlor	0.0972672
"dance hall"	0.0962638
bookstore	0.0960967
"gift shop"	0.0943168
bistro	0.0935805
courtyard	0.0932738
"community center"	0.0931587
bar	0.0930918
hotel	0.0916079
bathroom	0.0914884
garage	0.0914577
tavern	0.090089
supermarket	0.0899076
"gas station"	0.0893095
bedroom	0.0890844
store	0.0888659
Warehouse	0.0887638
"office building"	0.0874396
bakery	0.0871961
dorm	0.0862745
"liquor store"	0.0862452
restroom	0.0857013
"post office"	0.0851377
courtroom	0.0843363
basement	0.0837975
diner	0.0829592
"dining area"	0.0828537
"art gallery"	0.0824552
"beauty salon"	0.0820954
chapel	0.0815362
"waiting room"	0.0814551
gallery	0.0811897
elevator	0.0808962
"hardware store"	0.080682
"swimming pool"	0.0801058
Pharmacy	0.0796995
"shopping mall"	0.0774822
boardroom	0.0773521
apartment	0.0771899
"reading room"	0.0766734
building	0.076502
theater	0.0761246
"shopping center"	0.0759716
salon	0.0753344
MCDONALD's	0.0751066
eateries	0.075007
foyer	0.0749926
"dorm room"	0.0749694
"locker room"	0.0745925
nightclub	0.0745107
clinic	0.0738411
"game room"	0.0737142
nursery	0.0734399
boutique	0.0728846
park	0.0727137
mall	0.0724774
drugstore	0.0722246
studio	0.0722144
"butcher shop"	0.0719263
booth	0.0715077
"bowling alley"	0.071241
plaza	0.0707473
"Burger King"	0.0706197
"clothing store"	0.0705463
"department store"	0.0702113
"truck stop"	0.0698378
clubhouse	0.0694826
cubicle	0.0693533
"reception room"	0.0692165
"exhibition hall"	0.0687554
buffet	0.0685138
motel	0.0681324
showroom	0.0680531
corridor	0.067576
"family room"	0.0675658
complex	0.0669327
"elementary school"	0.0665919
SPA	0.0661774
lab	0.0659205
cinema	0.0658893
"machine shop"	0.0658786
courthouse	0.065868
atrium	0.0653364
amphitheater	0.0652107
"back room"	0.0650452
"dressing room"	0.0649775
"soup kitchen"	0.0647455
disco	0.0646159
stairwell	0.0645875
suite	0.0645199
Casino	0.0643187
"city hall"	0.0642634
garden	0.0642219
delicatessen	0.064005
"beauty parlor"	0.0639277
"hotel room"	0.0638306
church	0.0635568
shelter	0.0634922
morgue	0.063344
stadium	0.0629123
"funeral home"	0.0628343
"general store"	0.0627619
"fire station"	0.0622507
"police station"	0.0622058
chamber	0.0621779
"wine cellar"	0.0621563
"emergency room"	0.0619429
mosque	0.0607242
"train station"	0.0606698
lodge	0.0606079
"snack bar"	0.0605143
playground	0.0603905
laundry	0.060155
terminal	0.0601395
arcade	0.0600203
coffeehouse	0.0599875
sanctuary	0.0596734
"Oval Office"	0.0594282
"bus station"	0.0593519
arena	0.0591954
hospital	0.0591704
fridge	0.0591326
den	0.0591185
museum	0.0590362
square	0.0589822
cabin	0.0588484
"nursing home"	0.0586366
kiosk	0.0586032
factory	0.0581716
"apartment building"	0.0580434
inn	0.0580209
"computer store"	0.0579142
space	0.0577771
closet	0.0577525
patio	0.0577518
condominium	0.0576477
NewsRoom	0.0576099
palace	0.0573597
"entertainment center"	0.0571031
Capitol	0.0569376
Steakhouse	0.0567541
hangar	0.0566865
"shoe store"	0.0565403
"conference center"	0.0564416
"bus stop"	0.0564031
"residence hall"	0.0558937
pool	0.0558431
dealership	0.0557357
campus	0.0556645
"high school"	0.0556087
saloon	0.055565
"amusement park"	0.0553771
pantry	0.0553674
"repair shop"	0.0551866
laboratory	0.0550836
"public school"	0.0548319
storefront	0.0544584
"operating room"	0.0544285
emporium	0.0542676
"East Room"	0.0542481
grocery	0.0542305
Bathhouse	0.0541444
headquarter	0.054063
synagogue	0.0539864
"movie house"	0.0538273
locker	0.0536773
picnic	0.0536042
schoolyard	0.0534267
desk	0.053294
"rest room"	0.0530743
))
(caffeine (desc 11539.9) (sims
nicotine	0.195044
alcohol	0.169223
carbohydrate	0.141405
amphetamine	0.131438
Calcium	0.127671
"vitamin C"	0.118726
morphine	0.118277
ephedrine	0.114982
opiate	0.114727
fluoride	0.111852
sodium	0.110453
fat	0.109348
cholesterol	0.106936
sugar	0.100638
steroid	0.100066
calory	0.0995838
cocaine	0.099168
Ritalin	0.0958419
marijuana	0.0957974
protein	0.093894
adrenaline	0.0938633
methamphetamine	0.0938023
estrogen	0.0930897
antioxidant	0.0929852
vitamin	0.0923416
"alcoholic beverage"	0.0921323
hormone	0.0912864
"vitamin E"	0.0907503
glucose	0.0895528
"carbon monoxide"	0.0891424
cannabis	0.0883696
creatine	0.0882423
calorie	0.0881303
tobacco	0.0875871
starch	0.087069
heroin	0.0867872
iodine	0.0864253
potassium	0.0853012
insulin	0.0844206
andro	0.0840087
sweetener	0.0836603
"fatty acid"	0.0835231
substance	0.0834192
testosterone	0.0832511
coffee	0.0828588
methadone	0.0826639
melatonin	0.0826614
pseudoephedrine	0.0826283
liquor	0.0813412
aspirin	0.0805579
lycopene	0.0802025
"dairy product"	0.0800551
androstenedione	0.0795659
oxygen	0.0795131
ecstasy	0.0794108
cyanide	0.0793473
GHB	0.0784984
"hard drug"	0.0779562
nitrogen	0.0777924
LSD	0.0776024
EPO	0.077501
methamphetamines	0.0774395
acid	0.0772984
milk	0.0772601
hGH	0.0769874
carotene	0.0768563
arsenic	0.0765815
cigarette	0.0763488
pesticide	0.0761984
chlorine	0.0760755
"fruit juice"	0.075729
Radon	0.0751971
nutrient	0.0751931
soda	0.0751439
stimulant	0.0744069
"folic acid"	0.0737495
sedative	0.0736364
MDMA	0.0736045
benzene	0.0731757
dioxin	0.0725694
beverage	0.0725467
asbestos	0.0722281
booze	0.0716214
tar	0.0708112
MTBE	0.0708057
additive	0.0705668
vodka	0.0703788
"vitamin A"	0.0701028
salt	0.0700993
fiber	0.0697558
radioactivity	0.0696054
narcotic	0.069341
smoking	0.0690723
pill	0.0685276
"green tea"	0.0680865
moisture	0.0679795
painkiller	0.0673887
Valium	0.0663401
lactose	0.0660952
"growth hormone"	0.0660709
juice	0.0659657
Endostatin	0.0656835
"elbow room"	0.0652439
ozone	0.064749
tea	0.0647412
"orange juice"	0.0647394
viagra	0.0647133
electrolyte	0.0646477
fluid	0.064592
soy	0.0642495
Beer	0.0641799
adrenalin	0.0636907
antibiotic	0.0632773
"red wine"	0.0631766
medication	0.062865
leptin	0.062808
chocolate	0.0626781
"carbon dioxide"	0.0626522
Liquid	0.0626492
sulfur	0.0626001
"mineral water"	0.0624516
tamoxifen	0.0619313
capsaicin	0.0618313
"breathing room"	0.0617429
antifreeze	0.0616765
CO@	0.0615889
chemical	0.0615667
acetaminophen	0.0612518
oomph	0.0606975
toxin	0.0606058
homocysteine	0.0605582
olestra	0.0605294
supplement	0.059672
"chemical compound"	0.0591589
Zoloft	0.0591197
"soda pop"	0.0590806
meat	0.0587206
pizazz	0.0586563
antihistamine	0.058556
PCBs	0.05823
fertilizer	0.0581866
cocoa	0.0581244
khat	0.0580243
ingredient	0.0577689
nitrate	0.0577119
"amino acid"	0.0576018
preservative	0.0575013
uranium	0.0571977
radiation	0.0571392
yeast	0.0569183
methanol	0.0567822
kava	0.0565681
AZT	0.0564039
thalidomide	0.0562087
folate	0.0560608
"fish oil"	0.0558954
ketamine	0.055565
spice	0.0555543
whiskey	0.0554859
Prozac	0.0554678
poison	0.0553728
ethanol	0.0552953
laxative	0.0551339
impurity	0.055027
CFCs	0.0549939
plutonium	0.0548405
cola	0.0546743
"wheat flour"	0.0546687
"prescription drug"	0.0546678
Vaccine	0.054376
contaminant	0.0540976
"vegetable oil"	0.0540899
"snack food"	0.0539709
chromium	0.0539566
diuretic	0.0537758
candy	0.0537265
ephedra	0.05367
"free time"	0.0535888
"water vapor"	0.0532446
powder	0.0528473
"Diet Coke"	0.0528249
bourbon	0.0527822
"designer drug"	0.0525869
"soft drink"	0.0525729
cortisone	0.0524626
detergent	0.0524456
grain	0.0524156
Leeway	0.052369
"low-fat diet"	0.0523522
dairy	0.0523108
LDL	0.0522341
opium	0.0521705
cacao	0.0521138
vinegar	0.0518765
absinthe	0.0516073
"high blood pressure"	0.0515832
"animal fat"	0.0515001
placebo	0.0514048
gasoline	0.0513409
Zinc	0.0508839
))
(caftan (desc 1218.74) (sims
sarong	0.171476
"evening gown"	0.150445
tunic	0.14596
bellbottoms	0.14448
turban	0.141687
bandana	0.135548
pillowcase	0.132735
chiffon	0.132417
"pants suit"	0.128773
shawl	0.125901
mitten	0.125504
nightgown	0.123581
waistcoat	0.122899
robe	0.12209
"fur coat"	0.121712
"stiletto heel"	0.121388
smock	0.116787
veil	0.116078
"prayer shawl"	0.114214
blouse	0.113266
miniskirt	0.112898
"sports jacket"	0.111967
bandanna	0.111653
"cowboy hat"	0.110773
"feather boa"	0.110275
raincoat	0.109577
"tennis shoe"	0.109115
skullcap	0.108959
overcoat	0.107798
cardigan	0.107596
"cocktail dress"	0.107202
Poncho	0.106622
headband	0.106494
"hot pants"	0.105585
leotards	0.105251
bodice	0.104854
G-string	0.103423
"leather jacket"	0.102899
satin	0.102715
bluejeans	0.10268
"felt hat"	0.102057
"mink coat"	0.101468
bustier	0.0981264
kimono	0.0979542
"evening bag"	0.0976681
miniskirts	0.0975552
"trench coat"	0.0970139
"top hat"	0.0969195
bolero	0.0968023
"boxing glove"	0.0967639
Sari	0.0959715
headdress	0.0953393
Bonnet	0.0945549
trouser	0.094515
bathrobe	0.094498
kilt	0.0943038
fedora	0.0936482
linen	0.0936257
duster	0.0928969
scarf	0.0922676
turtleneck	0.0917049
parka	0.0915851
"bow tie"	0.0915139
loincloth	0.0914544
toupee	0.0910448
STETSON	0.0905924
Chino	0.0904266
pullover	0.0899851
gown	0.0895442
frock	0.0890791
"ball gown"	0.0880969
bodysuit	0.0879035
"straw hat"	0.0875945
halter	0.0874387
Fez	0.0867539
pajama	0.086374
"bathing suit"	0.0862643
sheath	0.0861403
windbreaker	0.0858305
"neck brace"	0.0846252
armband	0.0836212
sweatshirt	0.0832273
corduroy	0.0829051
pantsuit	0.0825856
tights	0.0819833
knickers	0.0814431
"cowboy boot"	0.0813955
tux	0.0812388
"polo shirt"	0.081136
corset	0.0810318
vestment	0.080279
tress	0.080227
velvet	0.0798752
yarmulke	0.0796154
wig	0.0795867
"hard hat"	0.0790454
"bowler hat"	0.0786195
BOA	0.078588
"dress shirt"	0.0785623
swimsuit	0.0778185
"wedding dress"	0.0772339
Cape	0.0764662
loafer	0.0762814
"life vest"	0.076262
brocade	0.0760471
"business suit"	0.0753638
legging	0.0746009
jumpsuit	0.0743866
Pantsuits	0.0741604
"evening dress"	0.0740785
shorts	0.0740527
apron	0.0737703
sandal	0.0731247
"military uniform"	0.0730464
beret	0.0729409
gauze	0.0722456
bedsheets	0.0716703
ascot	0.0714658
necktie	0.0710727
pantyhose	0.0710535
"baseball cap"	0.070487
"bowling ball"	0.0701768
"sweat pants"	0.0701625
suede	0.0698292
brassiere	0.0696714
camisole	0.0690207
undershirt	0.0689645
trousers	0.0684504
dreadlocks	0.0681804
coverall	0.0679962
capris	0.0677165
pajamas	0.0675812
carnation	0.0675487
underpants	0.0675346
earpiece	0.0672827
panty	0.0672317
woolen	0.0670169
"blue jean"	0.0669114
"body armor"	0.0668546
suspender	0.0663227
"sport shirt"	0.0662835
chaise	0.0662277
"dress uniform"	0.0659695
Sash	0.0659235
embroidery	0.0658951
tablecloth	0.0655587
girdle	0.0654666
goatee	0.065453
Armani	0.0653536
"belt buckle"	0.0652655
slipper	0.0649839
"piece of cloth"	0.0648944
"street clothes"	0.0645054
lather	0.0644129
khaki	0.0643118
"ski mask"	0.0641187
bra	0.063727
moustache	0.0636266
"pocket watch"	0.063326
garb	0.063292
"rubber band"	0.06319
moccasin	0.0631399
docker	0.0629547
spandex	0.0626476
getup	0.0625704
"nail polish"	0.0617654
"Ford Mustang"	0.061567
pompadour	0.0612131
bikini	0.0610238
"name tag"	0.0607683
barrette	0.0605435
"hush puppy"	0.0602947
cutoffs	0.0596487
earplugs	0.0594338
neckline	0.0593376
"mushroom cloud"	0.0593299
"rubber boot"	0.059224
mustache	0.0590868
slicker	0.0588015
taffeta	0.0587226
chalice	0.0586954
Mississippian	0.0583942
Halo	0.0581375
fishnet	0.0581162
handbag	0.0579601
gloves	0.0574632
bib	0.0572966
"bed sheet"	0.0572651
straitjacket	0.0567822
wristband	0.0564048
pants	0.0562392
emulsion	0.0559676
musket	0.0558862
pigtail	0.0556889
monogram	0.0556503
"dark glasses"	0.055118
handkerchief	0.054953
"Southern Democrats"	0.0546651
"lynch mob"	0.0542732
flannel	0.0540585
))
(Cafu (desc 2953.35) (sims
Aldair	0.338811
"Roberto Carlos"	0.312064
"Junior Baiano"	0.2932
Bebeto	0.265251
Rivaldo	0.252783
Dunga	0.238982
Denilson	0.2272
"Cesar Sampaio"	0.217992
Leonardo	0.186139
Edmundo	0.186071
Juninho	0.178043
Giovanni	0.160608
Romario	0.149551
Taffarel	0.140435
Ronaldo	0.125185
"Dennis Bergkamp"	0.101768
"Jaap Stam"	0.09979
"Paolo Maldini"	0.0892889
"Mike Burns"	0.082771
"Dan Petrescu"	0.0823497
"Fan Zhiyi"	0.0817354
"Luis Figo"	0.0785726
Zico	0.0776138
"Laurent Blanc"	0.0731413
"Marcel Desailly"	0.0725763
"Lilian Thuram"	0.068923
"Paul Caligiuri"	0.0669574
"Kate Sobrero"	0.0653117
"Gary Neville"	0.0651428
"Brandi Chastain"	0.0636799
"Frank de Boer"	0.0631641
"Bixente Lizarazu"	0.0587269
"Zinedine Zidane"	0.0577263
"Alexi Lalas"	0.0569418
Emerson	0.0564689
"Ivan Zamorano"	0.0564134
Hardeman	0.0562462
Zidane	0.0557307
"Bobby Newcombe"	0.0556813
"Team New Zealand"	0.0552486
Baggio	0.0551724
"Ricky Moore"	0.0544434
"Youri Djorkaeff"	0.0542094
"Thomas Dooley"	0.0540654
"Robert Jarni"	0.0536305
"Sinisa Mihajlovic"	0.053103
"Sol Campbell"	0.0527575
"Roberto Baggio"	0.0514389
Bergkamp	0.0514038
"Predrag Mijatovic"	0.0506869
"Marcelo Balboa"	0.0501815
"Robin Fraser"	0.049822
Batistuta	0.0488987
"Larry Centers"	0.0485598
"Davor Suker"	0.0480902
MACHIAVELLI	0.0469866
"Tony Adams"	0.0462679
"Fernando Hierro"	0.0461586
"Ryan Kealy"	0.0460515
"Joy Fawcett"	0.045965
"Hidetoshi Nakata"	0.0457046
"Christian Karembeu"	0.0450064
Rai	0.0446385
"Sam Gash"	0.0446205
"Paul Ince"	0.0443118
Felipe	0.0442832
Palmeiras	0.0442473
"Greg Vanney"	0.0441885
"Jeff Agoos"	0.0433524
"Daryl Johnston"	0.0431879
Zamorano	0.0431804
"Carla Overbeck"	0.0429965
Sergio	0.0429545
"Eddie Pope"	0.042754
"Dwight Yorke"	0.0424702
"Hao Haidong"	0.0422157
"George Weah"	0.042153
"Ariel Ortega"	0.0420483
"Keith Byars"	0.0419792
"Robert Pires"	0.0417997
"Jerome Bettis"	0.0417437
Grbac	0.0416431
"Steve Heinze"	0.041557
"Patrick Kluivert"	0.0415454
"Thierry Henry"	0.0410731
"Tony Carter"	0.0409249
"Marcelo Salas"	0.0406712
"Raul Gonzalez"	0.0406356
"Lothar Matthaeus"	0.040539
"Oliver Bierhoff"	0.0405223
"Rob DiMaio"	0.0404188
"Luis Hernandez"	0.0400716
"Luigi Di Biagio"	0.0400302
))
(cage (desc 33897.4) (sims
enclosure	0.0845974
box	0.0840711
pen	0.0817918
cubicle	0.0809786
room	0.076525
closet	0.0753669
compartment	0.0742434
cell	0.071042
container	0.0702464
bedroom	0.0693809
trailer	0.0693382
tent	0.068556
garage	0.0682289
bed	0.0680972
locker	0.0680261
stall	0.0671657
fence	0.0669699
"display case"	0.0669023
cabin	0.0662247
booth	0.0656658
"batting cage"	0.0654638
"file cabinet"	0.0644649
bathroom	0.0644007
pit	0.0640846
drawer	0.0640321
bag	0.0639542
tub	0.0635691
Bin	0.0630464
coffin	0.062691
gym	0.0626179
hut	0.0619801
tank	0.0613492
chair	0.0612952
trunk	0.0610135
apartment	0.0603822
suitcase	0.0598728
bucket	0.0598084
kitchen	0.059683
barn	0.0595591
frame	0.0591578
cooler	0.0590908
classroom	0.0588279
cylinder	0.0588042
pot	0.0584229
tray	0.0583415
pool	0.0583014
shack	0.0580145
bathtub	0.0577763
elevator	0.0574193
cupboard	0.057099
"dressing room"	0.0570951
"living room"	0.0569288
wall	0.056593
basement	0.0564376
"trash can"	0.0564204
window	0.0562523
hallway	0.0561444
bunker	0.0559268
bookcase	0.0557983
cellar	0.0557785
hangar	0.0556578
mouth	0.0553281
cockpit	0.0551755
wheelchair	0.0551039
van	0.0549953
"hotel room"	0.0549872
pocket	0.0547736
bottle	0.0546748
cave	0.0545944
barricade	0.0544237
auditorium	0.0542635
"prison cell"	0.0542356
space	0.0542038
courtyard	0.0541346
door	0.0541269
pond	0.0538887
deck	0.0536226
pipe	0.0536214
jar	0.053616
shelter	0.0535716
"back room"	0.0535515
jail	0.0533067
tube	0.0531445
mirror	0.0530983
chamber	0.0527093
Tower	0.0524907
lobby	0.0524035
crate	0.0522594
clubhouse	0.0519726
Casket	0.0517344
glass	0.0516262
bowl	0.0515983
briefcase	0.0515038
trench	0.0513919
"garbage can"	0.0512138
contraption	0.0510363
trellis	0.0510291
table	0.0508482
"batter's box"	0.0508253
harness	0.0508025
backpack	0.0507626
sarcophagus	0.0507094
nest	0.0506114
"bomb shelter"	0.0505612
tree	0.0504427
dugout	0.0504301
"shopping cart"	0.0504024
prison	0.05014
rack	0.050132
freezer	0.0500817
hall	0.0500756
shelf	0.0499865
desk	0.0498931
truck	0.0497291
hammock	0.0495387
vault	0.049517
captivity	0.0494956
tunnel	0.0494884
toilet	0.0494632
dorm	0.0493031
"mobile home"	0.0491327
"conference room"	0.0490864
gutter	0.0490403
pad	0.0490333
garden	0.0490138
cab	0.0489636
plate	0.0489559
"storage area"	0.0489326
scaffolding	0.0488997
"swimming pool"	0.0488685
kennel	0.0488574
"mental hospital"	0.0487965
Dome	0.0487402
cottage	0.0486629
pile	0.0485545
boat	0.0484788
"back yard"	0.0483634
crib	0.0483609
beam	0.0483605
helmet	0.048341
shaft	0.0483197
zoo	0.0482631
habitat	0.0482205
outhouse	0.0481815
furniture	0.0479731
urn	0.0479456
"jail cell"	0.0478413
courtroom	0.0476233
pan	0.0475679
envelope	0.0474391
plastic	0.0472729
refrigerator	0.0472658
cart	0.0471613
"folding chair"	0.0471589
casing	0.0471318
sheet	0.0469528
structure	0.0468445
"penalty box"	0.0467668
coil	0.0467086
roof	0.0466246
screen	0.0466065
splint	0.0465982
confinement	0.0465685
rod	0.0465421
ceiling	0.0465176
mesh	0.0465028
"locker room"	0.0462159
Canopy	0.0461903
restroom	0.046019
grille	0.0460057
Shell	0.0459389
yard	0.0459257
Warehouse	0.0459215
ghetto	0.0458246
slab	0.0458095
bleachers	0.0458044
gate	0.0457573
oven	0.0457211
fireplace	0.0456694
gallery	0.0455107
balcony	0.0454773
patio	0.0454663
net	0.0454083
folder	0.0453463
armchair	0.0452537
limousine	0.0451525
pavilion	0.0450869
basket	0.0450388
"water tank"	0.0449493
lamp	0.0448516
walkway	0.0448008
staircase	0.0447731
hole	0.0444786
netting	0.0444758
capsule	0.0444226
canoe	0.0442324
sculpture	0.0441527
"shopping bag"	0.0440638
chute	0.044016
"parking lot"	0.043952
))
(cager (desc 1568.47) (sims
spikers	0.24865
vaulter	0.157326
"volleyball player"	0.1374
lifter	0.126153
paddler	0.123098
"Ge Fei"	0.120221
"chess player"	0.114037
shuttlers	0.110774
fencer	0.110676
"pole vaulter"	0.107306
"basketball league"	0.105441
Karpov	0.105342
shuttler	0.100103
"Partizan Belgrade"	0.0995456
Clavet	0.0981192
marathoner	0.0965983
"Russian Yevgeny Kafelnikov"	0.0955524
"Ye Zhaoying"	0.0954655
skiiers	0.0939952
footballer	0.0939172
gymnast	0.0939153
"Anatoly Karpov"	0.0936541
Nicol	0.0934222
"tennis player"	0.0921671
Shenhua	0.0917397
"Mia Audina"	0.090862
Consul-General	0.0908344
"Li Xuemei"	0.0889534
"Gong Ruina"	0.088125
"Dai Yun"	0.0879896
Taufik	0.0869461
"Chen Hua"	0.086904
weightlifter	0.0867328
rower	0.0866873
Utes	0.0865748
Berasategui	0.0861932
"Tony Graziani"	0.0859009
Testud	0.0852826
Obilic	0.0852712
Edberg	0.084251
Consulate-General	0.0833639
Jansher	0.083025
"MaliVai Washington"	0.0826921
"Deep Blue"	0.082103
miler	0.0818715
Larsson	0.0816322
bodybuilder	0.0809998
"Le Jingyi"	0.0806627
triathletes	0.0806323
"Kong Linghui"	0.0798837
Stoltenberg	0.0795728
"Koji Ito"	0.0789282
"Alberto Berasategui"	0.0788074
"Jan-Ove Waldner"	0.0776277
Kasparov	0.0773656
"American Todd Martin"	0.0770278
"Xia Xuanze"	0.0767981
ensign	0.076712
Terps	0.0766071
"Li Fang"	0.0764379
duo	0.076115
educationist	0.076083
"Deng Yaping"	0.0756108
"shot putter"	0.07533
"Guangdong Tigers"	0.0752271
"Lin Li"	0.0751703
"Dong Jiong"	0.0744325
Gambill	0.0743134
"Miami Fusion"	0.0740721
"Guangdong Hongyuan"	0.0740526
"Stefan Edberg"	0.0731809
"Dalian Wanda"	0.0729724
"Liu Yong"	0.0727394
mountaineer	0.072737
"Arantxa Sanchez Vicario"	0.0726631
"Anita Wachter"	0.0724457
"Taufik Hidayat"	0.0721565
skater	0.0717229
Eleven	0.0716712
"Wang Junxia"	0.0716176
Gustafsson	0.0716099
"Lleyton Hewitt"	0.0715748
"Phenix City"	0.0710605
"hockey player"	0.0707719
"Fighting Irish"	0.0704226
Sugiyama	0.0700749
cricketer	0.0697566
"Brenda Schultz-McCarthy"	0.0696676
Corretja	0.0696529
"Wang Liqin"	0.0695376
"Real Betis"	0.0694964
"Hao Haidong"	0.0692386
"Joko Suprianto"	0.0692259
"hockey team"	0.0691965
Hoya	0.0690248
"Michael Doohan"	0.0689834
bullfighter	0.068858
Halard-Decugis	0.0687943
bowler	0.0682187
"Wang Nan"	0.0681029
"Liu Guoliang"	0.0679724
Pioline	0.0679182
"Francisco Clavet"	0.0679172
"Susi Susanti"	0.0677046
Ulihrach	0.0674269
cyclist	0.067343
"Christine Arron"	0.0672979
"Peter Gade Christensen"	0.0672585
megastar	0.0670379
Zvereva	0.0670155
Lindland	0.0669712
"Michael Chang"	0.0668007
"Frank Bruno"	0.0667763
Atler	0.0663296
"Bafana Bafana"	0.0662847
"basketball season"	0.0662729
Puerta	0.0662141
"Jeff Tarango"	0.0660393
"American Chanda Rubin"	0.0660376
"housing industry"	0.0659641
"Magdalena Maleeva"	0.0657985
"Guy Forget"	0.0657767
Sanchez-Vicario	0.0657535
"Athletic Bilbao"	0.0656985
quartet	0.0656315
"Monica Seles"	0.0655812
"Sarah Pitkowski"	0.065572
"Sanchez Vicario"	0.0654493
Henman	0.0653452
"opera star"	0.0652125
Hendrawan	0.0651259
"Yang Ying"	0.0647752
Bruguera	0.0646729
"Maria Butyrskaya"	0.0644896
nobleman	0.0644887
foursome	0.0643139
"Jan-Michael Gambill"	0.0639587
"Sandrine Testud"	0.0638968
Susanti	0.0637835
Capel	0.0635785
"Phoenix Mercury"	0.0634994
RedHawks	0.0634686
"aerospace giant"	0.0633824
Mauresmo	0.0631659
gamecock	0.063052
"Alex Corretja"	0.0630301
Haarhuis	0.0630299
"Team USA"	0.0629956
"Asa Carlsson"	0.0629435
"Jason Stoltenberg"	0.062882
Enqvist	0.0627698
Arthurs	0.0625388
"Chen Yan"	0.0622814
"first pitcher"	0.062259
Bjorkman	0.0621728
drillers	0.0620795
portraitist	0.061919
businesswomen	0.061905
"New York Liberty"	0.0618992
Kiefer	0.0617811
Dortmund	0.0617189
"Kenneth Carlsen"	0.0616681
"Qingdao Hainiu"	0.0616651
skier	0.0616451
"merchant ship"	0.0616394
"Susanthika Jayasinghe"	0.0615905
Kong	0.0615774
PAOK	0.0615014
violinist	0.0614722
"Cathy Freeman"	0.0614267
"Gong Zhichao"	0.0613574
"Nathalie Dechy"	0.0613026
"Velez Sarsfield"	0.0613002
"Mark Woodforde"	0.0612183
"Samantha Riley"	0.0610749
diver	0.0608435
"American Michael Chang"	0.0608267
"landscape painting"	0.0607234
sprinter	0.0606676
Santoro	0.0606134
"Michael Weiss"	0.0605716
"Todd Woodbridge"	0.0605307
"Abraham Olano"	0.0604981
"Spartak Moscow"	0.0604841
"Van Roost"	0.0604687
"Australian Mark Philippoussis"	0.0604367
"garment worker"	0.0604352
"Shanghai Shenhua"	0.0604164
"Li Na"	0.0601045
acrobat	0.0599443
Safin	0.0597403
"Inge de Bruijn"	0.0596108
"army engineer"	0.0594864
"Dynamo Kiev"	0.0594834
rios	0.0594315
"Southern Democrats"	0.0593957
"Nathalie Tauziat"	0.0593593
"Marat Safin"	0.0593581
Tauziat	0.05931
"seeded player"	0.0592086
))
(Cagliari (desc 2031.4) (sims
Piacenza	0.297368
Salernitana	0.293607
Torino	0.283383
Udinese	0.266669
Perugia	0.250884
Venezia	0.246476
Lecce	0.244329
Bari	0.237701
Empoli	0.232356
Vicenza	0.232171
"AC Parma"	0.208782
Sampdoria	0.192998
Verona	0.154642
Internazionale	0.145772
Bologna	0.143753
Juventus	0.142857
Bastia	0.138224
Fenerbahce	0.137606
Watford	0.132786
Parma	0.132574
"VfB Stuttgart"	0.130625
Fiorentina	0.13059
Besiktas	0.129746
"Nottingham Forest"	0.12811
Atalanta	0.124945
"Athletic Bilbao"	0.123808
"AC Milan"	0.123626
"Olympique Marseille"	0.122929
"Real Betis"	0.120905
Auxerre	0.120618
"Coventry City"	0.12047
Valladolid	0.118519
"Schalke @@"	0.118111
"Paris St Germain"	0.118033
"Borussia Moenchengladbach"	0.11727
"Celta Vigo"	0.115216
"Slavia Prague"	0.114645
Zamalek	0.113041
"Velez Sarsfield"	0.112906
Brondby	0.111232
Roma	0.110058
Anderlecht	0.108418
"Leicester City"	0.108253
Tenerife	0.106965
"VfL Wolfsburg"	0.106322
"Borussia Dortmund"	0.105373
Rosenborg	0.104543
Independiente	0.104515
Schalke	0.103905
Espanyol	0.101524
Napoli	0.101367
"Blackburn Rovers"	0.0996306
"Inter Milan"	0.0990684
"Deportivo Coruna"	0.0989898
"Derby County"	0.0989414
"Partizan Belgrade"	0.0988704
Nacional	0.0985982
Galatasaray	0.0974691
"Gianluca Pozzi"	0.0951955
"Atletico Madrid"	0.0948465
"Joannette Kruger"	0.0948236
"Croatia Zagreb"	0.0945839
"Kinder Bologna"	0.0944883
"Leeds United"	0.0942863
Habsudova	0.0931479
"Real Sociedad"	0.0924975
Shenhua	0.0922558
Penarol	0.0914366
Alaves	0.0907125
Necaxa	0.0905485
"Sichuan Quanxing"	0.090028
"San Lorenzo"	0.089915
"Guangzhou Apollo"	0.0898141
"Chinese Army"	0.0896048
Gremio	0.0889298
"Barbara Schwartz"	0.0885606
"Paul Goldstein"	0.0885412
Sevilla	0.088282
"Bradford City"	0.0882488
"Sparta Prague"	0.0882432
Meligeni	0.0881008
Damm	0.0875553
Obilic	0.087549
Ivoire	0.0871785
"Nicole Pratt"	0.0870215
Gothenburg	0.0868814
"West Ham United"	0.0866193
Andorra	0.0864301
Duisburg	0.086398
Rostock	0.0860411
"Amy Frazier"	0.085223
"Rita Grande"	0.0848077
"Newcastle United"	0.0844437
Freiburg	0.0843266
"Boca Juniors"	0.0840715
"Olympiakos Piraeus"	0.084019
Edberg	0.0835707
"Hertha Berlin"	0.0835055
"AEK Athens"	0.0831889
"Albert Portas"	0.083051
Lareau	0.0828975
Feyenoord	0.0828416
"Galo Blanco"	0.082513
Dosedel	0.0824706
"Ajax Amsterdam"	0.0823274
"Guangdong Hongyuan"	0.0821175
Benfica	0.0814284
Metz	0.0807565
Rennes	0.0801107
Panathinaikos	0.0800669
Hongyuan	0.0798764
Maribor	0.0792301
Likhovtseva	0.0787762
Olimpia	0.0780037
"LA Lakers"	0.0779957
Coventry	0.0779763
Flamengo	0.0776538
"Colo Colo"	0.0776231
Betis	0.0775025
"Scott Draper"	0.0773337
"Spartak Moscow"	0.0770847
Estudiantes	0.0768213
Porto	0.0766962
"Beijing Guo"	0.0764467
Atletico	0.0764347
Spartak	0.075901
Kaiserslautern	0.0758359
Schett	0.0757208
Heerenveen	0.0757205
Zaragoza	0.0756368
"Deportivo La Coruna"	0.0756243
"Daniel Nestor"	0.0747614
"Jinan Taishan"	0.0746937
"River Plate"	0.0746163
"Hernan Gumy"	0.074596
"Crystal Palace"	0.0738578
"Javier Sanchez"	0.073731
Extremadura	0.0736456
Schalken	0.0734118
Vitoria	0.0732282
"Angelo Peruzzi"	0.0730173
Liechtenstein	0.0729449
"Renzo Furlan"	0.0725179
"Kenneth Carlsen"	0.072261
Vitesse	0.0721786
"Werder Bremen"	0.0721473
"PSV Eindhoven"	0.0721223
"Bayer Leverkusen"	0.072011
"Richard Fromberg"	0.0717905
"Karim Alami"	0.0713754
"Sturm Graz"	0.0711414
Cruzeiro	0.071024
Raja	0.0709845
"Tottenham Hotspur"	0.0706799
"Qingdao Hainiu"	0.070672
Serna	0.0702509
Deportivo	0.069994
"Italian League"	0.0698043
"Adrian Voinea"	0.0696347
"Sebastien Grosjean"	0.0693864
Olympiakos	0.0693476
Wolfsburg	0.0693037
Southampton	0.0691115
"Paola Suarez"	0.0691
"Dynamo Kiev"	0.0690132
"Franco Squillari"	0.0687061
"Anne Kremer"	0.0686089
"Wayne Black"	0.0681788
Palmeiras	0.0680871
"Tatiana Panova"	0.0679425
"Dalian Wanda"	0.0677405
"FC Porto"	0.0672756
"Guy Forget"	0.0671289
Salamanca	0.0669664
"Florencia Labat"	0.0669486
Montpellier	0.0669373
Kremer	0.0668859
hearts	0.0664378
"Davide Sanguinetti"	0.0664299
Malmo	0.0664204
"Shanghai Sharks"	0.0664077
Charlton	0.066359
"Nathalie Dechy"	0.0662026
"Aston Villa"	0.0661953
"Arnaud Di Pasquale"	0.0661784
Oviedo	0.06617
Dragomir	0.0661126
Berasategui	0.0660258
Gustafsson	0.0659673
"Alex O'Brien"	0.0658038
"Neville Godwin"	0.0657406
Raoux	0.0656167
"Red Star"	0.0655464
Sidot	0.06539
"Sargis Sargsian"	0.0652506
Jonsson	0.0652045
"Yayuk Basuki"	0.064926
Vacek	0.0649097
"Mariano Zabaleta"	0.0646834
"Leander Paes"	0.0646137
))
(Caguan (desc 1312.87) (sims
Villar	0.126752
Plata	0.123247
Rafah	0.11681
Kailahun	0.115118
este	0.109855
Matamoros	0.107521
"Anlong Veng"	0.107422
Oro	0.0952325
Pailin	0.094233
Cacak	0.0922426
"Shenzhen City"	0.0920301
Bamiyan	0.0897482
Chamonix	0.0896216
Posoltega	0.0886191
Kandahar	0.0880367
Taba	0.0875914
Mundo	0.086231
"San Lorenzo"	0.0862293
"Nigerian capital"	0.0861095
Makhachkala	0.084867
"French capital"	0.084072
Macoris	0.0828322
Kenema	0.0814537
"Santo Domingo"	0.081447
Dundalk	0.0799251
Warwick	0.0796846
Toro	0.07934
Kizlyar	0.0793083
Entebbe	0.0791869
Portillo	0.0789475
"Malaysian capital"	0.0787948
Piero	0.0782906
NIS	0.0780051
Rosario	0.0777491
Antioquia	0.0775037
"San Cristobal"	0.0774714
Aachen	0.0773657
Lucerne	0.0763479
Valle	0.0763392
Gudermes	0.0755381
Jaffna	0.0755249
Barrio	0.0755007
Goma	0.074355
Langkawi	0.0735178
Murmansk	0.0733156
"Victoria Falls"	0.0727886
Vukovar	0.0723797
Aqaba	0.0721552
Andulo	0.0721423
Mostar	0.0720644
Merca	0.0718089
Nablus	0.0717013
SAL	0.0715057
"Russian capital"	0.0712481
Peshawar	0.0707489
una	0.0706208
Norte	0.070507
Cartagena	0.0695631
Wildwood	0.0694316
Malisevo	0.0688222
Lhokseumawe	0.0686891
"Kosovo Polje"	0.068662
Ponte	0.068342
Plattsburgh	0.0682612
Mazar-i-Sharif	0.067788
Talipao	0.0677689
Casas	0.0673962
CARACAS	0.0672162
Haicheng	0.0667351
Nago	0.066327
Bailundo	0.0656015
Coronado	0.0652469
"Jefferson City"	0.0647729
Assisi	0.064726
Prado	0.0646815
Trincomalee	0.0646008
"San Salvador"	0.0645666
"Tianjin Municipality"	0.0643736
"Suva Reka"	0.0641484
Ramallah	0.0632084
Baalbek	0.0630687
"Banja Luka"	0.0628651
Shepherdstown	0.0628114
Golcuk	0.0627798
Luanda	0.0625842
Weimar	0.0623813
Jenin	0.0621278
Claremont	0.0621145
BRASILIA	0.0617738
Florence	0.0616306
Sur	0.0615907
Salerno	0.0614116
Hempstead	0.0611001
Amor	0.0610792
Ballymoney	0.0609611
"Washington D.C."	0.0608761
Eilat	0.0603257
Palembang	0.0603078
Liege	0.0602476
Rey	0.0602294
Lumbini	0.0602171
Princeville	0.0601778
Tokaimura	0.0599923
Hannover	0.0598947
Kabwe	0.0597581
Dubrovnik	0.0596663
"Mount Pleasant"	0.0596565
"San Marcos"	0.0596227
Mayo	0.0589725
"Estados Unidos"	0.0588099
"Greek capital"	0.0584002
TEGUCIGALPA	0.0582346
Guadalajara	0.0582254
Monte	0.0581704
Youngstown	0.0581045
Uvira	0.0579934
"South Lebanon"	0.0579828
Dresden	0.0578675
Lubumbashi	0.0576768
"North Mogadishu"	0.0576385
"CHIANG MAI"	0.0573997
Hillsboro	0.0573887
Baidoa	0.0573771
Libby	0.057226
Ndola	0.0570133
Merida	0.0569949
Managua	0.0568973
Palma	0.0567799
Orahovac	0.0567485
Dakar	0.0566454
espana	0.0562609
Tarrytown	0.0561332
Charleroi	0.0561129
"Del Rio"	0.0558639
Izmit	0.0558512
Sirte	0.0558334
Durango	0.0557964
"Egyptian capital"	0.0556022
Kukes	0.0555101
Tuzla	0.0554833
Nogales	0.055453
Decani	0.0553881
Srinagar	0.0552539
Moshi	0.0551685
Sol	0.0551045
Yichang	0.055042
Taloqan	0.0550008
Mwanza	0.0549621
Bayonne	0.0549427
Vladikavkaz	0.0548484
"Iranian capital"	0.0547429
Miami-Dade	0.0547191
CANCUN	0.054712
Blace	0.0546731
"Quebec City"	0.0546673
Carmel	0.0544691
"Cuban capital"	0.0544649
Makeni	0.0543458
Kisumu	0.0541008
bethel	0.0538119
Gisenyi	0.0537756
Lille	0.0537716
Junik	0.0537549
Antalya	0.0535377
"Guatemala City"	0.0534045
Libreville	0.0533743
"ALMA ATA"	0.0533661
Marjayoun	0.0532713
Kismayu	0.0530213
"Okinawa Prefecture"	0.052977
Juba	0.0529642
Pattaya	0.0528459
Larnaca	0.0526498
Vientiane	0.0526364
Pancevo	0.0525863
las	0.0524425
Kismaio	0.0524229
"Surat Thani"	0.0522301
Mankulam	0.0520978
Accra	0.0518539
"Andean Group"	0.0517134
Pompeii	0.051677
Vail	0.0516168
Beersheba	0.0514923
Matadi	0.0514089
Kitwe	0.0512197
"Mogao Grottoes"	0.0511652
Urus-Martan	0.0511576
Bali	0.0511556
Cavalese	0.051141
Ningbo	0.0511236
"Quezon City"	0.051118
Liuzhou	0.0510972
Tbilisi	0.0508861
Palmdale	0.0508059
Bangalore	0.0507772
Bolivar	0.0507077
Samara	0.0507058
"rough water"	0.0504148
Almaty	0.0503212
))
(Cahill (desc 2586.71) (sims
Lessig	0.102043
Finkel	0.0993789
Rubenstein	0.0987929
Hybl	0.0903849
Ulrich	0.0887636
Weil	0.0884195
Bradshaw	0.0852951
Rossotti	0.0848711
Fleischer	0.0841229
Bergeron	0.0834597
Silverstein	0.0823079
Nickerson	0.0814995
Kaye	0.081081
Coen	0.0808789
Cowan	0.0791327
Rosenthal	0.0785075
Duffy	0.0782798
Weisman	0.077556
Ruehe	0.0775484
Reiner	0.0757338
Garrity	0.0756497
Kaufman	0.0751832
"administration official"	0.073882
Grasso	0.0738256
Gullikson	0.0725591
Solis	0.0722897
Vogel	0.0719052
Copeland	0.0718396
Naumann	0.0715405
Passarella	0.0710404
Nadler	0.0708094
Brenner	0.0708074
Cashman	0.0706865
Butterworth	0.0704031
Donahue	0.0691303
Fiorina	0.0687486
Evernham	0.0684011
Reinhardt	0.068219
Azinger	0.068182
Cline	0.0678386
COYNE	0.0676916
Bochy	0.0672444
Strauss-Kahn	0.0671751
McGuire	0.0671721
Poole	0.0670454
Behr	0.0667815
Lowry	0.0666534
Brandt	0.0666165
Heaney	0.0665679
Auerbach	0.066473
Jacquet	0.0662402
Sobel	0.0660453
Talebi	0.0658054
Halberstam	0.0653673
Hahn	0.065316
Grossman	0.0652667
Loeb	0.0651169
Heinrichs	0.0649452
Ferrer	0.0648197
Easley	0.0646584
Knox	0.0643676
McCown	0.0643473
Hartwig	0.0643126
Zuckerman	0.0642218
Rowe	0.064141
McLaughlin	0.0639454
Lehane	0.0636768
Rendell	0.0636562
Prewitt	0.0636514
DiCicco	0.0633043
Muckler	0.0632429
Goldstein	0.0630645
Laudrup	0.0630008
TALBOT	0.0629379
Ebersol	0.0627827
Newcombe	0.0626753
Flanagan	0.0626542
Castillo	0.0626185
Conroy	0.0625072
Piot	0.0623841
Braun	0.0623696
Deutsch	0.0623451
"market watcher"	0.0623361
Waxman	0.0622637
Polian	0.0622294
Iglesias	0.0620479
Siegel	0.0620341
Billick	0.0619243
Berman	0.0618478
Herron	0.0618052
Durant	0.0617637
Summitt	0.0615627
Burleigh	0.0614356
Ainge	0.061429
Cremins	0.0614142
Samuelson	0.0613663
Stinnett	0.0613342
Healy	0.0613076
Wagoner	0.0612574
Morse	0.060909
Friedman	0.0606078
Henley	0.0604429
Dixon	0.0602153
Troussier	0.0601731
McCullough	0.0600292
Pollack	0.0600049
Nugent	0.0599636
Atwood	0.0599635
Dempsey	0.0599483
Larson	0.0597444
Krugman	0.0596462
Echols	0.0596046
Gilmore	0.0595536
"De la Cruz"	0.0595334
Zogby	0.0594125
Daniels	0.0593768
Dougherty	0.059253
Paxon	0.0592262
Dickinson	0.0591947
Fahey	0.0590871
Harbison	0.05908
Aurelio	0.0590565
McIntyre	0.0589642
Neff	0.0587397
Halloran	0.0587381
Bustamante	0.0586858
Braswell	0.0586766
Selena	0.0585989
Barlow	0.0585305
Goldin	0.0583618
Fong	0.0582879
McCarron	0.0582614
Borges	0.0582153
Altman	0.0579597
Barros	0.0579547
Carville	0.0577661
Lipponen	0.0577255
Raduyev	0.0576754
Fiddes	0.0575696
Gibbons	0.0574147
"Rich Brooks"	0.057403
Singson	0.057303
"Dan Schnur"	0.0571892
Kuhn	0.0571848
Hayden	0.057162
Donnan	0.057137
D'Alessandro	0.0570768
Epstein	0.0570317
"Zhou Nan"	0.0569848
Rahal	0.0569456
Dyer	0.0568478
Romer	0.0567517
Berkowitz	0.05675
Sahadi	0.0566928
Clements	0.0566893
Fleisher	0.0566497
O'Connell	0.0566015
Edelstein	0.0563899
Gogel	0.0563411
Hanna	0.0563206
Bodine	0.0562898
Rutherford	0.0562829
Gorman	0.056262
Hanley	0.0561477
Jarrell	0.0561271
Guthridge	0.056003
Kirby	0.0559641
Hawke	0.0559029
HELLER	0.0558658
Greenberg	0.0557867
Wigand	0.0557189
estes	0.0557175
Murad	0.055704
Schmalensee	0.0556869
Hyman	0.0556816
Goldberg	0.0555699
Fraga	0.0555216
Schmid	0.0555083
McCurry	0.0554706
Hoch	0.0554493
Rabe	0.0554317
Appleby	0.0554142
Beilin	0.055396
Zucker	0.0553806
Biffle	0.0552999
Elie	0.0552487
Kurosawa	0.0552455
Showalter	0.0552367
Segal	0.0551576
Moser	0.055156
Horner	0.0550746
Levine	0.0550457
Cummings	0.0550393
Shoate	0.0550331
Weinberg	0.054965
Presley	0.054948
Arkan	0.0548853
Ganassi	0.0548646
ROMNEY	0.0548528
Zwick	0.0546927
))
(Cahoots (desc 2206.65) (sims
lockstep	0.0719714
run-in	0.0570633
collusion	0.0504583
"frame of mind"	0.0491427
cohabitation	0.0486022
consulations	0.0471738
falling-out	0.0464832
matrimony	0.0464533
consonance	0.0453198
Synch	0.0408152
))
(Cai (desc 3215.64) (sims
Liu	0.13346
Zhang	0.122758
guo	0.119373
Zhou	0.118378
Qu	0.115203
Wu	0.115035
Zeng	0.111355
Tian	0.110672
Luo	0.106934
Yang	0.102367
wen	0.102302
Shen	0.102068
Shi	0.10154
Wang	0.0982806
Li	0.0965524
Choi	0.0960179
Yu	0.0952289
Xiang	0.0951034
Klim	0.093023
Tanui	0.092757
Jin	0.0923301
Huang	0.0920522
xu	0.0906807
LU	0.0905378
Cheng	0.0899813
Brenner	0.0889391
Krayzelburg	0.0863282
Hu	0.0861132
Malu	0.0853754
Zheng	0.084579
Liang	0.0844343
Kasoulides	0.0831808
Gao	0.0825696
Chen	0.082244
Wan	0.0820025
Shang	0.0816503
Lin	0.0811505
Zou	0.080712
Kjus	0.0798085
LeBlanc	0.0797036
Tsai	0.0789916
Sotomayor	0.0784856
Zhao	0.0783659
Singson	0.0780058
Gilman	0.0778603
Doohan	0.0775138
Xie	0.0773417
Zhu	0.0772741
Wong	0.0767333
Feng	0.0765992
Torres	0.0764039
Rashid	0.0760493
Strauss-Kahn	0.0757831
Wolfensohn	0.075605
Loroupe	0.0755176
Woolley	0.0754741
Jovanovic	0.075306
Polgar	0.0750175
Dai	0.0749051
Lim	0.0749044
Chao	0.0746924
Jalabert	0.0744245
Khannouchi	0.0743781
Atler	0.0742939
craven	0.0740377
Montoya	0.0739096
Ren	0.0736654
Xiao	0.0728941
Waxman	0.0726493
"Wu Yanyan"	0.0723136
Sainz	0.072076
Soyinka	0.0719966
Fleischer	0.0719852
Gogel	0.0716094
Shamshad	0.0713018
sexton	0.0711889
Ruehe	0.0704462
Surin	0.0702887
Tarawneh	0.0702516
Devers	0.070041
Wei	0.0698093
Zuma	0.0693659
Coulthard	0.0693052
"Liu Limin"	0.0687684
Wolff	0.0684092
"Dara Torres"	0.068359
Weinberg	0.0682503
Ratner	0.0681564
D'Alessandro	0.068027
Qin	0.0678805
Labonte	0.0675861
Cao	0.0675414
Laudrup	0.0674344
Biffle	0.0673875
Rosenthal	0.0673768
Aoki	0.0672606
Figueroa	0.0670307
Leung	0.0669222
Kenyon	0.0668743
"Guo Jingjing"	0.0667091
Akers	0.0663927
Qiao	0.0663696
Atwood	0.0662657
Waltrip	0.0662573
Mayfield	0.0661417
Fu	0.0660704
Milutinovic	0.0660509
Bao	0.0658039
"Wang Zhizhi"	0.0657917
Myhrvold	0.0657651
Lau	0.0655852
Sha	0.0650136
McKinnon	0.064991
Klinsmann	0.06494
Gu	0.0648618
Woodard	0.0648274
Pickering	0.0646318
Kipketer	0.0639751
Gustafsson	0.0635047
Naumann	0.0634343
nance	0.0634082
Nasrallah	0.0633297
Ottey	0.0632894
Katsav	0.0631851
Chastain	0.0631035
Talebi	0.0629216
Jia	0.0629039
Piot	0.0628585
Meguid	0.0627646
Greenwald	0.0627428
Ji	0.0627009
Ma	0.06235
Makinen	0.0623492
Mustafa	0.0623076
Foyt	0.0621912
Zuckerman	0.062165
Murad	0.0621338
Leetch	0.0621079
Ikimi	0.062086
Faget	0.0620682
Christensen	0.06194
Bierhoff	0.0619377
Dragila	0.0618847
Ebersol	0.0618798
Boyle	0.0618673
Finkel	0.061817
Daniels	0.0617946
Nakata	0.0615252
"administration official"	0.0614903
McKay	0.0613731
Gimelstob	0.0613273
"Dario Franchitti"	0.0612122
Friedman	0.0611869
Solis	0.0611559
Hahn	0.0610634
Leach	0.06102
Insulza	0.0607324
Hakkinen	0.060732
Donohue	0.0607121
"Jeremy Mayfield"	0.0605832
"Van Roost"	0.060578
Hirsch	0.0605547
Howe	0.0605317
Iliescu	0.0603971
Satcher	0.0603841
Franchitti	0.0603653
Schmitt	0.0602921
Baerga	0.0602054
Saberhagen	0.0600773
Brittan	0.0600584
Koznick	0.0600015
Polian	0.0599866
Devine	0.0599386
Ding	0.0599237
Karlsson	0.0597033
McDonough	0.0596825
Paxon	0.0595928
Medvedev	0.0595828
Inkster	0.059473
Meissner	0.0594403
Azad	0.059367
McCurry	0.0593598
"Tegla Loroupe"	0.0591011
Alatas	0.058973
"Khalid Khannouchi"	0.0589006
Daley	0.0588545
Kerik	0.0587445
Nazarbayev	0.0587247
Andretti	0.0587125
Iglesias	0.0586444
McCabe	0.0585997
Kiareldeen	0.0584943
Farrell	0.0584901
Najera	0.058489
Bulatovic	0.0584537
Richards	0.0584461
Lehane	0.0583049
Houghton	0.0582637
Andrade	0.0582516
Sykora	0.0580807
))
(cain (desc 2124.45) (sims
Ruehe	0.120456
Difrancesco	0.109439
Schmalensee	0.0966233
Finkel	0.0959722
Kane	0.0940442
Reimer	0.0937743
Fleischer	0.0915332
Mendez	0.0891476
Advani	0.0887026
Fernandes	0.0881987
Sykes	0.0876363
Bodine	0.086179
Martorano	0.0854074
Klima	0.0850476
Koskinen	0.0848652
Cowan	0.0844979
Kyl	0.0833924
Galvin	0.0814851
Sheehan	0.0805006
Coen	0.0801781
McMullen	0.0797597
Herron	0.0786832
Rothenberg	0.0778832
Napolitano	0.077704
Espinoza	0.0771706
Milbury	0.0769068
Krasniqi	0.0768364
Hagel	0.0767609
Laudrup	0.0765516
Farber	0.0765153
Eizenstat	0.0763781
Aventajado	0.0761971
Shays	0.0760445
Sorensen	0.0759587
Rossotti	0.0758286
Harmoko	0.0757277
Padilla	0.0755922
Gosper	0.0754507
Ciampi	0.0750766
Heinrichs	0.0750016
Azizah	0.0745673
Faget	0.0742524
Neulander	0.073435
Maritz	0.073315
Breuer	0.0732822
Naumann	0.0731301
Tevanian	0.0727556
Gillick	0.0725912
Fassett	0.0725845
Moakley	0.0719039
McDonnell	0.0714977
Ikeda	0.0712145
Arizmendi	0.071148
Sutter	0.0709758
frist	0.0708667
Soyinka	0.070575
Barksdale	0.0705154
Menendez	0.070503
Browne	0.0696629
Monson	0.0693414
Samuelson	0.0692729
Hendricks	0.069257
Sills	0.069206
Fieger	0.0690573
Buzek	0.0688747
Poole	0.0688374
Bildt	0.0688299
Fuhrman	0.0687484
Conroy	0.0686384
Ulrich	0.068604
Ackerman	0.0685423
Knox	0.0685193
Beilin	0.0685001
Edelstein	0.0684742
Quintana	0.0684596
Upton	0.06845
Alarcon	0.0680665
Wilhelm	0.067996
Colangelo	0.0679737
Calipari	0.0679619
Doggett	0.0679337
Colburn	0.0679091
Siazon	0.06789
Barshefsky	0.0678483
Jayakumar	0.0677469
Godfrey	0.06755
Solis	0.0675347
Beazley	0.0672928
McKeon	0.0672884
Lipponen	0.0671873
Monahan	0.0671025
Jensen	0.0668476
Washburn	0.0663568
Markovic	0.0663187
Hamill	0.0663106
Hansen	0.0662353
Braswell	0.0662069
Scharping	0.0661139
Insulza	0.0659813
Brownback	0.0658136
Hauser	0.0657535
"Patsy Ramsey"	0.0656873
Velayati	0.0655018
Kessler	0.0653638
DeFrantz	0.0652096
Gallagher	0.0651667
Narayanan	0.0651608
Weldon	0.065141
Hiddink	0.0650355
Ono	0.0650145
Rodionov	0.0650002
Hartsburg	0.0648212
Schmid	0.0648107
Pelosi	0.0647839
Kumar	0.0647099
Falk	0.0645721
Singson	0.0642367
Jarrell	0.064072
Koop	0.0639084
"hue and cry"	0.063891
Clare	0.0637491
Husseini	0.0637433
Moratinos	0.0636903
Bizimungu	0.0636532
Meguid	0.0636264
Piot	0.0636102
Hybl	0.0634031
Barrie	0.0632811
Podesta	0.063237
Rooney	0.0631949
Bronfman	0.062995
Okada	0.0629365
Tran	0.0627854
Jenoff	0.0627705
capella	0.0624943
O'Connell	0.0624654
Allard	0.0623672
Ozaki	0.0622276
Kerrey	0.0621671
SHUSTER	0.062117
Cortines	0.0621162
Manley	0.0620795
Mohamed	0.0620055
Blumenthal	0.0619937
Goldin	0.0619329
Jarvis	0.0618884
Wellstone	0.0618598
Patel	0.0618247
Ebersol	0.0617396
"Orlando Mercado"	0.0616787
Khalil	0.0616339
Verney	0.0616328
Daschle	0.0615566
Summitt	0.0614694
Felten	0.0614456
Wyly	0.0612754
Hartwig	0.0612706
Lundberg	0.0611886
"Mikhail Kasyanov"	0.0611369
Wolfson	0.0611109
Spence	0.0610108
Wenger	0.0609826
Jobe	0.0609799
"El Mundo"	0.0609652
McCollum	0.0609266
Ruggiero	0.0609014
Flanagan	0.060853
Shevardnadze	0.0608273
Winchell	0.0608121
Leahy	0.0607918
Zuma	0.0605185
Bakaly	0.0604737
peeler	0.0604568
Abraham	0.0603125
Pirro	0.0602828
Cline	0.0602186
McCourt	0.0601195
Robson	0.0601061
Diouf	0.0600305
Flores	0.0599878
Remnick	0.0598691
Waugh	0.0596999
Reiner	0.0596942
Henley	0.0595711
Lockyer	0.0595141
wheeler	0.0594777
Haney	0.0593785
Donnan	0.0593562
Turetzky	0.0593524
Ickes	0.0592465
Izzo	0.0592328
"La Russa"	0.0592057
Epstein	0.0591986
Hartman	0.0591778
Rashid	0.0590658
Thayer	0.0588348
Zhirinovsky	0.0587033
Donohue	0.0586722
Caddell	0.0585778
exec	0.0585012
))
(Caine (desc 3245.74) (sims
"Michael Caine"	0.116969
Downey	0.0825049
Baugh	0.0626577
Franz	0.06046
Puzo	0.0577679
Braugher	0.0559282
Travolta	0.0551215
swank	0.0549455
Caray	0.0540102
Sheedy	0.0527355
Redd	0.0526723
McEwan	0.0517125
Iger	0.0517058
Majko	0.0512244
"Bill Lann Lee"	0.0510848
Ekeus	0.0510839
Neff	0.050689
Cusack	0.0505432
"Jon Bon Jovi"	0.0500752
Eastwood	0.0494363
Ivey	0.0492989
Pryor	0.0485902
Tilberis	0.048438
Lansky	0.0482205
Weil	0.0478965
Marchand	0.0477026
Akbar	0.0467708
"Winona Ryder"	0.0467454
McIntyre	0.0461912
Hobson	0.0461132
Edelstein	0.0460718
Schroder	0.0458045
Nicholson	0.0457735
Chappell	0.0452415
Quintero	0.0450598
Felton	0.0450477
Eubanks	0.0450418
Tillman	0.0448914
Gooding	0.0448746
Metcalf	0.0448419
Vaughan	0.0447968
Ruthardt	0.0447601
Merritt	0.0444691
Spacey	0.044402
Montalvo	0.0441498
Galindo	0.0440341
Gifford	0.043993
DiCicco	0.0439273
Margolis	0.0438144
Abram	0.0437015
Paltrow	0.0434049
Klemperer	0.0432161
Bloch	0.0430816
Felten	0.0430678
Bocelli	0.0429171
Ryder	0.0427024
Millar	0.0426216
Posner	0.0424093
Sealy	0.0424063
Farnsworth	0.0423307
"James Soong"	0.0420376
Pearce	0.0419838
Rankin	0.0414347
Yoon	0.041231
McGuinness	0.0410107
Harrelson	0.0409702
Hightower	0.0409589
"Ryan Phillippe"	0.040933
Dickinson	0.0409232
Hawley	0.04084
Streep	0.0407627
Blackmun	0.0406934
Lari	0.0406685
"Kim Jong-pil"	0.0404569
kraut	0.040375
Nolte	0.0403282
DeFrantz	0.0403066
Karimov	0.0402478
Duchovny	0.0400144
))
(Cairn (desc 876.705) (sims
Esso	0.0844217
"Suzhou Industrial Park"	0.0841011
"million over five years"	0.0657149
Petronas	0.0655871
"ball field"	0.0609451
"house of cards"	0.0601635
archway	0.0591718
Caltex	0.0590673
"British Petroleum"	0.0585084
"water project"	0.0559443
creche	0.0557669
Halliburton	0.0553003
emachines	0.0544142
Enron	0.053489
"Thermo Electron"	0.053366
grotto	0.0524045
"joint-stock company"	0.0522606
Neel	0.0522482
menorah	0.0520311
Ltd.	0.0519688
jetty	0.0517219
"Pudong International Airport"	0.0516785
"fire wall"	0.0516773
DeGeneres	0.0501462
cofferdam	0.0500712
flagpole	0.049884
Durwood	0.0498674
Agusta	0.0491778
CNOOC	0.048833
"development center"	0.0475102
"power unit"	0.0471643
fortification	0.0469759
headstone	0.0467988
Conoco	0.0466866
scaffold	0.0466683
"pedestrian bridge"	0.0452127
treehouse	0.045109
pylon	0.0449966
waterworks	0.0447926
seawall	0.0447812
Halberstam	0.0440749
collider	0.0440687
iXL	0.043919
"Yad Vashem"	0.0438791
"pie shell"	0.0437363
shantytown	0.0435763
playlists	0.0434599
Statoil	0.0433508
"two million yuan"	0.0431811
Monteverdi	0.0426422
"tourist hotel"	0.0424951
Wahlberg	0.0417669
SMIs	0.0415306
Eni	0.041509
"nearly @@@ million yuan"	0.0413945
Shatner	0.0412782
"Special Economic Zones"	0.0411406
biplane	0.0410997
Sibneft	0.0408869
"five million yuan"	0.0406559
"Enron Corp."	0.0403605
"Berlin Wall"	0.0402584
lean-to	0.0402419
"observation post"	0.0400441
PTT	0.0400424
))
(Cairns (desc 4122.84) (sims
Perth	0.176792
Adelaide	0.15585
Hobart	0.139922
Brisbane	0.138522
MELBOURNE	0.134717
Christchurch	0.129079
Chopra	0.123804
Tapachula	0.114611
Gudermes	0.112719
Agarkar	0.111439
"CHIANG MAI"	0.111386
Casas	0.111093
Darwin	0.110481
Canberra	0.106299
Mullally	0.0969538
Auckland	0.0936542
Bulawayo	0.0919409
Davao	0.0911434
"San Salvador"	0.0910354
Atambua	0.0907196
Ndola	0.0906562
Peshawar	0.0899016
Guayaquil	0.0891947
Gough	0.0876673
Headley	0.0875409
Taloqan	0.0873247
"Banja Luka"	0.0869766
"Gold Coast"	0.0868659
Cebu	0.0863079
"Chiang Rai"	0.0859574
Pattaya	0.0856985
Fremantle	0.0851672
Nago	0.0848633
Mosul	0.0845574
Juba	0.0844279
"Egyptian capital"	0.0843439
Fukuoka	0.0843179
Ensenada	0.0838729
Cartagena	0.0836566
Kuito	0.0832767
Durban	0.0830906
Eilat	0.0826994
TEGUCIGALPA	0.0816178
MacGill	0.0813046
Kallis	0.0810045
Muralitharan	0.0797093
"San Sebastian"	0.0793016
BUCHAREST	0.0787576
Monterrey	0.0781278
Gulu	0.0770544
Halle	0.0769524
Antalya	0.0769006
Sapporo	0.0768546
Dushanbe	0.0767938
Tashkent	0.0766775
"Ho Chi Minh City"	0.0765919
Vientiane	0.0764228
"Sao Paulo"	0.0761956
Medellin	0.0760832
Murmansk	0.0760706
Mazar-i-Sharif	0.0759812
BASEL	0.0757823
Vladivostok	0.0757333
"Quebec City"	0.0756689
Acapulco	0.0756197
Marjayoun	0.0752621
Astana	0.075199
Vladikavkaz	0.0749545
Basle	0.0749317
Krakow	0.0746723
Vilnius	0.0745835
Gaborone	0.0740229
Bergen	0.0739479
Lucerne	0.0738923
Inchon	0.0738281
"San Pedro Sula"	0.0737609
Tendulkar	0.0735826
Larnaca	0.0732955
Glasgow	0.0730555
Beersheba	0.0722715
Osaka	0.0721594
Saida	0.0719872
Guadalajara	0.0719662
Uvira	0.0718887
Gdansk	0.0716906
MAPUTO	0.0715996
Krasnoyarsk	0.0714771
Wellington	0.0713296
Port-au-Prince	0.0709374
Durres	0.0707436
Manado	0.0707371
"Bandar Seri Begawan"	0.0707316
Limassol	0.0705598
Halifax	0.0704875
Rabat	0.0703421
BOGOTA	0.0701368
Waterville	0.0700462
Huambo	0.0698566
"Malaysian capital"	0.069838
Isfahan	0.0697903
Antwerp	0.0696386
LISBON	0.0695252
Toulouse	0.0694919
Kitwe	0.0693373
Winnipeg	0.0693183
SANAA	0.0689256
Naples	0.0689144
Hamburg	0.0688337
"Guatemala City"	0.0685222
Lehmann	0.0682298
Thessaloniki	0.0681997
Baotou	0.0680875
Catania	0.0679092
"La Paz"	0.067683
Lahore	0.0675828
Taipei	0.0674967
Chennai	0.0674301
"Santo Domingo"	0.0672754
Khabarovsk	0.067178
Accra	0.0670842
Kismayu	0.0670644
JOHANNESBURG	0.067005
Victoria	0.0669699
CARACAS	0.0668149
Ashkelon	0.0668122
Baalbek	0.0668012
Kisumu	0.0666265
Posoltega	0.066576
Novosibirsk	0.0664678
Jalalabad	0.0664226
Yerevan	0.0664117
Jeddah	0.0663813
Bangor	0.0663437
Hyderabad	0.066157
"Nuevo Laredo"	0.0660567
SEOUL	0.066007
Makhachkala	0.0659026
Utica	0.0657737
Nablus	0.065706
Yokohama	0.0656231
Xuzhou	0.0653961
Munich	0.0652831
Goteborg	0.0652428
Dunedin	0.0652268
Bukavu	0.065217
Luoyang	0.0651138
"Kuala Lumpur"	0.0650099
"Del Rio"	0.0649676
Shiraz	0.0648443
Windhoek	0.0647237
HANOI	0.0645786
Aswan	0.0645546
Anil	0.0645472
Ghent	0.0644069
Vancouver	0.0642207
McMillan	0.0641691
"Tel Aviv"	0.0641479
Belfast	0.0639962
Managua	0.0639875
"Novi Sad"	0.0635083
Minsk	0.0634514
CHENGDU	0.0634411
"San Cristobal"	0.0632795
Alexandria	0.0632695
Hanover	0.063211
Klagenfurt	0.0631445
Taba	0.0631255
Plattsburgh	0.0630541
Kandahar	0.0630075
"Mexico City"	0.0629646
Entebbe	0.0629394
Nagoya	0.0628565
"St. Petersburg"	0.0627908
Aden	0.0627042
Honolulu	0.0624551
Bushehr	0.062362
Basra	0.0622417
Golmud	0.0622222
Manchester	0.062205
Santiago	0.0621804
Lyon	0.0621384
Bern	0.0620766
Cali	0.0620478
Merida	0.0620297
Hialeah	0.0618486
"Ocean City"	0.0617365
Juneau	0.0614952
Wilmington	0.061469
Tripoli	0.0614149
Bamiyan	0.0614001
COLOMBO	0.0613258
Ambon	0.0612859
Tasmania	0.0611855
Anshan	0.0611795
"Miami Beach"	0.0611548
Kukes	0.0610858
Manila	0.0610114
KIEV	0.0609997
Kigali	0.0609954
Weifang	0.060882
))
(CAIRO (desc 61255.5) (sims
Amman	0.271569
Tehran	0.247857
Damascus	0.241627
Beirut	0.239187
Riyadh	0.228358
Geneva	0.227574
ANKARA	0.227242
BRUSSELS	0.226709
Moscow	0.223374
SEOUL	0.219215
Bangkok	0.21616
Islamabad	0.215655
"Addis Ababa"	0.215396
"New Delhi"	0.21384
"Kuala Lumpur"	0.2091
Nairobi	0.206717
Manila	0.205326
Baghdad	0.201704
BEIJING	0.201664
Algiers	0.20032
"Abu Dhabi"	0.200078
Istanbul	0.199833
ATHENS	0.198351
Doha	0.197897
Lusaka	0.197451
Paris	0.197329
Vienna	0.197262
"Tel Aviv"	0.19694
Havana	0.193842
HARARE	0.193707
KAMPALA	0.193521
Tokyo	0.19223
JOHANNESBURG	0.191932
Jakarta	0.191373
DHAKA	0.190533
LONDON	0.190283
KIEV	0.190126
Rome	0.187588
Tripoli	0.187506
HANOI	0.186856
"Buenos Aires"	0.185241
Bonn	0.184057
"Mexico City"	0.183541
Helsinki	0.181762
LISBON	0.18125
BUCHAREST	0.181138
Luanda	0.18055
Madrid	0.178165
Gaza	0.176457
Khartoum	0.176237
CARACAS	0.17565
TUNIS	0.171906
PYONGYANG	0.171392
"KUWAIT CITY"	0.171149
SOFIA	0.167475
STOCKHOLM	0.167114
Kigali	0.167055
MAPUTO	0.166966
WARSAW	0.166751
BOGOTA	0.165748
BELGRADE	0.165672
COLOMBO	0.164759
Pretoria	0.163902
BUDAPEST	0.163067
"Phnom Penh"	0.16265
Kathmandu	0.161693
Prague	0.161656
Santiago	0.161335
JERUSALEM	0.158756
"Dar es Salaam"	0.158216
Berlin	0.157821
Oslo	0.15725
Alexandria	0.156105
NICOSIA	0.155524
Durban	0.155417
Asmara	0.154453
Abuja	0.154317
SANAA	0.152722
Dushanbe	0.15262
ZAGREB	0.152593
TIRANA	0.15212
Sarajevo	0.15094
Belfast	0.150471
Egypt	0.148497
"Rio de Janeiro"	0.148214
Washington	0.148119
Amsterdam	0.147653
MANAMA	0.147329
"Cape Town"	0.145337
Kabul	0.145015
Lagos	0.144797
Lima	0.14386
YANGON	0.143561
Kinshasa	0.142151
BRASILIA	0.141002
Managua	0.140779
Dublin	0.140579
Lome	0.14003
Shanghai	0.140015
Pristina	0.139332
Frankfurt	0.138952
Jeddah	0.138209
Accra	0.136141
Arusha	0.135578
Rabat	0.134319
Abidjan	0.133586
Quito	0.131293
Taipei	0.130409
Yaounde	0.1297
Ramallah	0.129031
Mogadishu	0.128848
Windhoek	0.12513
Singapore	0.123773
DUBAI	0.123164
"Guatemala City"	0.123008
Muscat	0.122612
Bahrain	0.122496
TEGUCIGALPA	0.121602
Minsk	0.120895
Zurich	0.120833
Copenhagen	0.120497
Kuwait	0.118783
Kunming	0.1186
Skopje	0.118428
Gaborone	0.117321
Ottawa	0.117078
"Ulan Bator"	0.117064
"Panama City"	0.116678
"Santo Domingo"	0.11615
Osaka	0.116111
Qatar	0.115973
Auckland	0.11403
Sydney	0.1137
"Egyptian capital"	0.113184
"Saudi Arabia"	0.113068
Lahore	0.112901
Monrovia	0.112413
Karachi	0.112407
Tashkent	0.112256
Bujumbura	0.112018
Milan	0.111921
"New York"	0.11101
Baku	0.110765
capital	0.109923
Luxembourg	0.109132
"Sao Paulo"	0.10877
Vientiane	0.108745
"Los Angeles"	0.108315
MONTEVIDEO	0.10803
Kandahar	0.107587
"San Jose"	0.107159
"San Francisco"	0.1065
Munich	0.106193
Dili	0.106099
Dakar	0.105998
"St. Petersburg"	0.105912
Libya	0.105876
MELBOURNE	0.105718
Cartagena	0.105569
Ouagadougou	0.105314
Tbilisi	0.105253
"San Salvador"	0.105202
"Hong Kong"	0.104931
Honolulu	0.104848
Maseru	0.103872
Teheran	0.103744
"Ho Chi Minh City"	0.10337
Freetown	0.102488
Wellington	0.102472
Florence	0.10147
Lhasa	0.101467
"Las Vegas"	0.1014
CHENGDU	0.100731
Vancouver	0.100669
"San Juan"	0.100637
Guangzhou	0.100006
Lausanne	0.0978185
"Gaza Strip"	0.0971469
Albany	0.0965627
Chicago	0.0964693
Calcutta	0.0964613
Seattle	0.0964184
Hangzhou	0.0956324
Srinagar	0.0953058
Bombay	0.0951947
Montreal	0.0949262
Grozny	0.0945136
Luxor	0.0943506
Birmingham	0.0941102
Naples	0.0934325
Boston	0.093015
Denver	0.0929366
"South Africa"	0.0927437
Tampa	0.0927006
Canberra	0.0925151
"The Hague"	0.0923732
Atlanta	0.0923035
Davos	0.0917915
Phoenix	0.0915236
Pakistan	0.0912184
))
("Cairo International Airport" (desc 1681.79) (sims
"Ben-Gurion Airport"	0.271576
"Harare International Airport"	0.266869
"Heathrow Airport"	0.229098
"Entebbe International Airport"	0.218814
"Jomo Kenyatta International Airport"	0.201394
"Kuala Lumpur International Airport"	0.151866
"Kai Tak Airport"	0.137062
"Logan International Airport"	0.128076
"Los Angeles International Airport"	0.123791
"U.N. Headquarters"	0.120623
"Capital Airport"	0.118435
"San Francisco International Airport"	0.114517
"Logan Airport"	0.112426
Stansted	0.107
"Newark International Airport"	0.104275
"Johannesburg International Airport"	0.102716
"La Guardia Airport"	0.0914832
"Macao International Airport"	0.0770975
"International Airport"	0.0732024
"Kennedy International Airport"	0.0718772
Highbury	0.0680584
"Miami International Airport"	0.0669016
"Kennedy Space Center"	0.0668881
Aviano	0.0664133
"Kennedy Airport"	0.0651158
Logan	0.0645011
"O'Hare International Airport"	0.0642693
"Jet Propulsion Laboratory"	0.0612378
"Dulles International Airport"	0.0600455
"World Petroleum Congress"	0.0595262
"Hartsfield International Airport"	0.0590233
"Andrews Air Force Base"	0.0587791
"Villa Park"	0.0569949
"Iranian Foreign Ministry"	0.0556125
"Fort Dix"	0.0554028
O'Hare	0.0553809
co-chaired	0.0550442
"Elysee Palace"	0.0542918
Heathrow	0.0540694
"Presidential Palace"	0.0505377
"Ellis Island"	0.0496467
"German Embassy"	0.0489061
midcourt	0.0468375
"Miami Arena"	0.046635
"Diaoyutai State Guesthouse"	0.0461288
"Royal Palace"	0.0459603
"National Press Club"	0.0457685
"Boland Hall"	0.0451256
co-payment	0.0450493
"Russian Foreign Ministry"	0.0448966
"Ministry of Justice"	0.0438137
"Chek Lap Kok"	0.0432395
"Dorothy Chandler Pavilion"	0.0430395
"Fort Lewis"	0.0428426
"Methodist Hospital"	0.0416168
"John F. Kennedy International Airport"	0.0414181
"Kai Tak"	0.0408019
))
(Cajun (desc 7839.92) (sims
Zydeco	0.134773
Tex-Mex	0.118698
gourmet	0.0977553
calypso	0.0962229
bluegrass	0.0952588
vegetarian	0.0938447
Latin	0.088801
"Eastern European"	0.0885244
Reggae	0.0856541
"French Canadian"	0.0841918
klezmer	0.0831936
southern	0.0827835
mariachi	0.0822479
SKA	0.0818843
"Middle Eastern"	0.0811098
Hawaiian	0.0788877
Appalachian	0.0776511
"North African"	0.0759963
"West Indian"	0.0740359
Irish	0.0720119
crawfish	0.0714206
Germanic	0.0704566
Celtic	0.0700418
fusion	0.0696213
"R&AMP;B"	0.0693509
Mexican-American	0.0688382
seafood	0.0685237
"Irish Catholic"	0.0663185
merengue	0.0644574
Provencal	0.0638658
oldies	0.0627208
Amish	0.0621226
polka	0.0613104
salsa	0.0610972
"Old World"	0.0592058
Slavic	0.0583311
honky-tonk	0.0579868
cuisine	0.0577581
teriyaki	0.0572126
bistro	0.0570752
barbecue	0.0569457
"native American"	0.0566848
Cantonese	0.0560547
Acadian	0.0558651
Khmer	0.055707
Motown	0.0556419
mambo	0.0541871
bagpipe	0.0529375
Scottish	0.0528073
Creole	0.0527013
Italian-American	0.0521614
"big band"	0.0520656
Armenian	0.0520115
punchy	0.0519615
flamenco	0.0519246
taco	0.0516298
Sephardic	0.051315
rhythm-and-blues	0.0511017
Aggie	0.0508728
techno	0.050843
sausage	0.0503667
retro	0.049512
Portuguese	0.0490591
gangsta	0.0490237
"Burt Bacharach"	0.0490128
Yiddish	0.0489603
"Latin American"	0.048905
curry	0.0484048
cooking	0.0483281
"Southeast Asian"	0.0483209
"Beach Boys"	0.0482757
low-fat	0.0482629
"old school"	0.0482245
Louisiana	0.0480621
herb	0.0480612
Korean	0.0480263
sushi	0.0479995
gospel	0.0479701
"Puerto Rican"	0.0479517
boogie	0.0477106
Mediterranean	0.0473638
hippie	0.0471068
Americanized	0.04706
streetwise	0.0469977
Chili	0.0467166
poultry	0.0457499
vegan	0.0456416
"Mardi Gras"	0.0456274
veggie	0.0453967
"melting pot"	0.0449066
soy	0.0448443
Funk	0.0448331
"Chez Panisse"	0.044499
"rock 'n' roll"	0.0441586
Polynesian	0.0440455
"Tin Pan Alley"	0.0439602
Javanese	0.0438474
disco	0.0437283
Arabic	0.043519
gook	0.0434966
oddball	0.0432141
Anglo	0.0430035
horseradish	0.0428234
Garlic	0.0425205
bebop	0.0420483
"folk art"	0.041885
wasabi	0.0411948
"Waffle House"	0.0410291
zeppelin	0.0408522
tequila	0.0406101
bumpkin	0.0404183
kiddie	0.0403045
"country music"	0.0402917
ginger	0.0402904
techie	0.0401729
Zhuang	0.0400621
Tibetan	0.0400365
))
(cake (desc 59034.7) (sims
pie	0.229871
TART	0.226572
cooky	0.221177
bread	0.216472
Pudding	0.203435
salad	0.20317
pastry	0.198118
"ice cream"	0.197039
muffin	0.190631
soup	0.174177
cheesecake	0.173477
brownie	0.169899
dessert	0.169482
biscuit	0.166486
cookie	0.165273
sandwich	0.164647
sauce	0.162375
"chocolate cake"	0.15664
pizza	0.156523
chicken	0.154858
steak	0.154286
potato	0.152959
cupcake	0.151532
doughnut	0.150266
custard	0.148659
chocolate	0.148361
cheese	0.148043
dish	0.14638
pasta	0.145606
pancake	0.144968
meat	0.144234
filling	0.142939
loaf	0.142111
dough	0.141313
candy	0.134626
fruit	0.134427
crust	0.133154
Souffle	0.13214
vegetable	0.132123
scone	0.130388
tortilla	0.130378
crepe	0.130262
"pound cake"	0.129547
mixture	0.127961
slice	0.125987
noodle	0.121254
Casserole	0.120684
sausage	0.119598
bagel	0.118673
tomato	0.1167
shrimp	0.115761
Topping	0.115048
"layer cake"	0.114416
ham	0.114183
mousse	0.114158
COBBLER	0.112828
cracker	0.112536
yogurt	0.111707
bean	0.111129
juice	0.110705
onion	0.109778
croissant	0.109516
egg	0.109413
wine	0.109089
snack	0.107649
cereal	0.10735
flan	0.106758
drink	0.106724
tea	0.106518
cream	0.106271
frosting	0.105069
"hot dog"	0.104959
omelet	0.104946
recipe	0.104929
ravioli	0.104791
lemonade	0.104674
sorbet	0.103751
"whipped cream"	0.102668
soda	0.102573
butter	0.102499
Hamburger	0.101468
syrup	0.101053
stew	0.10094
fudge	0.100933
popcorn	0.100918
meringue	0.100509
biscotti	0.100469
apple	0.0997806
appetizer	0.0990073
taco	0.098845
Lasagna	0.0987834
fish	0.0987795
shortcake	0.0980192
quiche	0.0979026
eggplant	0.0978838
coffee	0.0976036
salsa	0.0973135
"baked goods"	0.0970875
pork	0.0966698
"french fries"	0.0965752
"chocolate chip cookie"	0.0965002
mushroom	0.0962492
bacon	0.095962
sweet	0.0953376
milk	0.0952548
puree	0.0951779
risotto	0.0950157
"peanut butter"	0.0949362
dumpling	0.0948445
nut	0.094285
food	0.0942838
pear	0.0942614
salmon	0.0941195
gravy	0.0939008
chop	0.093714
Beer	0.0935067
cornbread	0.0931487
pickle	0.0931284
dressing	0.0929362
flour	0.0921875
pumpkin	0.0921649
flavor	0.0921476
toast	0.0920112
corn	0.0917939
meal	0.0914286
berry	0.0910585
rice	0.0909986
enchilada	0.0903687
"cake mix"	0.0903559
burgers	0.0901909
waffle	0.0900041
"potato chip"	0.0898305
broth	0.0894974
jelly	0.0891625
polenta	0.0890366
"chicken breast"	0.0889784
icing	0.0883951
Chili	0.0878662
"chicken salad"	0.0877082
peach	0.0874658
pea	0.0872612
asparagus	0.0872497
fruitcake	0.0871708
carrot	0.0870296
"French toast"	0.0869183
"soft drink"	0.0865831
"sweet potato"	0.086015
Roll	0.0855505
sugar	0.0852901
"potato salad"	0.0852733
sushi	0.085093
"wedding cake"	0.0850677
pretzel	0.0848533
platter	0.0847572
bun	0.0846474
"macaroni and cheese"	0.0844016
entree	0.08435
"pumpkin pie"	0.0843425
spaghetti	0.0842718
seafood	0.0840961
pepper	0.0840475
leaf	0.0839874
milkshake	0.0839501
beef	0.0830998
curd	0.0827886
"iced tea"	0.0826615
meatloaf	0.082628
champagne	0.0826249
"birthday cake"	0.0823798
flower	0.0822238
pan	0.0820653
bowl	0.081913
FRY	0.0815704
meatball	0.0809923
kebab	0.0806922
mayonnaise	0.0803977
fillet	0.0797504
tuna	0.079577
"cream cheese"	0.0794823
chutney	0.0794151
pineapple	0.0794016
oyster	0.0793369
lettuce	0.0793093
"apple pie"	0.0790791
crumb	0.0789274
"fruit juice"	0.0788212
paste	0.0787651
spinach	0.0786047
lobster	0.0783684
porridge	0.0783459
"Caesar salad"	0.0783386
lamb	0.0782518
Jell-O	0.0781953
banana	0.0781919
roast	0.0781848
mango	0.0779186
layer	0.0776302
spice	0.0774147
wafer	0.07739
"goat cheese"	0.0763781
))
("cake mix" (desc 3062.77) (sims
cornmeal	0.152317
yogurt	0.132448
"brown sugar"	0.124051
gelatin	0.123999
oatmeal	0.12338
fraiche	0.120579
buttermilk	0.119277
Jell-O	0.113413
margarine	0.112335
"evaporated milk"	0.110979
"skim milk"	0.105061
"cream cheese"	0.105038
"pound cake"	0.10474
"food coloring"	0.101611
vanilla	0.101347
Kool-Aid	0.100604
mayonnaise	0.100321
flour	0.0990996
"cottage cheese"	0.0967911
"sour cream"	0.096153
yolk	0.0942596
biscuit	0.0930249
flavoring	0.0927647
lard	0.0907249
"mustard seed"	0.0905397
cake	0.0903559
cream	0.0902351
"pie crust"	0.0892359
muffin	0.0888862
lentil	0.0887903
"egg yolk"	0.0885166
legume	0.0878443
Pudding	0.0877492
curd	0.0868592
"macaroni and cheese"	0.0864608
"corn syrup"	0.0853495
yeast	0.0850082
mustard	0.084604
raisin	0.0818734
marmalade	0.0818546
"brown rice"	0.0818111
noodle	0.0817657
"whipping cream"	0.0815849
cocoa	0.0812349
"baking soda"	0.0810711
cereal	0.0803729
horseradish	0.0801199
bran	0.079565
"peanut butter"	0.079062
miso	0.0790031
pea	0.078871
"chili powder"	0.0780147
"soy sauce"	0.0779521
broth	0.0773261
butter	0.076974
frosting	0.0765042
crumb	0.0764763
hazelnut	0.0762838
cornstarch	0.0757922
liqueur	0.0756851
"chocolate cake"	0.0756656
cheese	0.0744551
sherbet	0.0740497
pasta	0.0740442
cracker	0.0740101
porridge	0.073989
onion	0.0738629
bread	0.0730562
"orange juice"	0.0726335
shortening	0.0719964
"ice cream"	0.071908
oat	0.0712709
"hoisin sauce"	0.0711208
ketchup	0.0710619
"loaf of bread"	0.0709371
"baking powder"	0.0709292
"sweet potato"	0.0705094
raspberry	0.0702828
"lemon juice"	0.0701044
"powdered milk"	0.0698511
powder	0.0698173
"baked goods"	0.0696984
"coconut milk"	0.0694637
ramekins	0.0693076
coconut	0.06856
"heavy cream"	0.0680054
cooky	0.0678356
granola	0.0678249
icing	0.0677654
pear	0.0677514
"barbecue sauce"	0.0675436
syrup	0.0675026
soup	0.0672618
paprika	0.0663942
pancake	0.0662337
mousse	0.0659846
bean	0.0658026
custard	0.0655483
"dried fruit"	0.0653214
plantain	0.0652378
"maple syrup"	0.0652039
"whipped cream"	0.0644812
Benecol	0.0643205
"cooking oil"	0.0641328
meringue	0.0640239
applesauce	0.0639715
tahini	0.0638522
half-and-half	0.0637794
seasoning	0.0636641
"chocolate mousse"	0.0635579
grits	0.0634507
"egg white"	0.0632809
"chicken broth"	0.0631165
molasses	0.0630667
"curry powder"	0.0630314
"iced tea"	0.0630177
soda	0.0628168
cupcake	0.0624051
avocado	0.0621957
vinegar	0.0618388
"olive oil"	0.0615581
paste	0.0613997
cucumber	0.0611646
tofu	0.0611176
slicker	0.0609096
lettuce	0.0607772
cabbage	0.0605595
"tomato sauce"	0.0605197
"spaghetti sauce"	0.0603697
chive	0.0602099
starch	0.0601278
"pumpkin seed"	0.0600823
ricotta	0.0600776
Souffle	0.0594966
polenta	0.0594761
puree	0.0590379
doughnut	0.0589779
macaroni	0.0589262
"three pitchers"	0.0588267
"Labrador retriever"	0.0586966
"orange marmalade"	0.0586822
honey	0.0586444
Chickpea	0.0585345
"tomato juice"	0.0583903
"cider vinegar"	0.0581048
"raw meat"	0.0580489
almond	0.0578896
scone	0.0577975
"vegetable oil"	0.0577598
saffron	0.0577509
"bay leaf"	0.0576623
"macadamia nut"	0.0576434
"pine nut"	0.0574156
soap	0.0573447
Garlic	0.0570598
tortilla	0.0568539
pumpkin	0.0568312
panko	0.056762
pretzel	0.0562102
"goat cheese"	0.0560234
"poppy seed"	0.0560222
jelly	0.0559836
fleck	0.0559639
pansy	0.0558753
"root vegetable"	0.0558026
breadcrumb	0.0557217
brownie	0.0557027
"cranberry sauce"	0.0556287
pecan	0.0555044
"salad dressing"	0.0554419
"wedding cake"	0.0553183
"cold cuts"	0.0550939
spinach	0.055005
"dairy product"	0.0546856
matzo	0.05467
walnut	0.0546435
"bell pepper"	0.0545842
vinaigrette	0.0545727
"peanut oil"	0.0541359
Cherry	0.0538881
"lime juice"	0.0538644
marshmallow	0.0538053
"cane sugar"	0.0535815
verbena	0.0535688
fig	0.0534127
beet	0.0533109
nectar	0.0529996
cheesecake	0.0523883
"cat food"	0.0518853
jalapeno	0.0518808
"wheat flour"	0.0518265
"canned food"	0.051631
donut	0.0514832
thistle	0.0514015
"fruit juice"	0.0513636
Cheddar	0.0512068
"potato salad"	0.0511964
"French toast"	0.0511869
risotto	0.0510837
low-fat	0.0506921
))
(cakewalk (desc 1661.33) (sims
"piece of cake"	0.135655
no-brainer	0.10893
crapshoot	0.106113
godsend	0.105104
"measuring stick"	0.100652
quibble	0.0977714
copout	0.092616
"hot potato"	0.0881127
lovefest	0.0877248
nonevent	0.0828078
"trial balloon"	0.0821721
"eye opener"	0.0803322
wipeout	0.079994
win-win	0.0799077
"popularity contest"	0.0796718
"sour grapes"	0.0791454
labor-intensive	0.0770861
tossup	0.0770567
"foregone conclusion"	0.0766914
whitewash	0.0736537
dogfight	0.0716874
"great year"	0.0704294
toss-up	0.0696674
gibberish	0.0694517
seesaw	0.0687308
pittance	0.0681113
"magic bullet"	0.0679997
typo	0.06716
nonentity	0.0668964
easier	0.0666107
"frame of reference"	0.0657979
slugfest	0.065298
"numbers game"	0.0652664
pushover	0.0648391
steppingstone	0.0644793
"clean slate"	0.0643195
pleaser	0.0642627
"waste of time"	0.0642162
"death knell"	0.0631289
regrets	0.0629338
nonstarter	0.0628682
cinch	0.0622635
"Trojan Horse"	0.0614507
"police state"	0.0612598
"guessing game"	0.0605717
"second tour"	0.0605441
dud	0.0603046
"blank check"	0.0603033
motivator	0.060056
stinker	0.0597266
pauper	0.0592659
coronation	0.0588522
mismatch	0.057506
afterthought	0.0572304
free-for-all	0.0565854
"chess game"	0.0560451
cure-all	0.0559735
non-issue	0.0557423
fluke	0.0557279
"piece of work"	0.0557145
charade	0.0553325
"waste of money"	0.0552566
turnabout	0.0548462
"reference point"	0.0544946
"Christmas present"	0.0540439
shocker	0.0536357
"deja vu"	0.0534202
shoo-in	0.0529607
vendetta	0.0529426
"good word"	0.0524369
"morale booster"	0.0524041
"stepping stone"	0.0521553
"direct evidence"	0.0521394
crock	0.0517914
roadmap	0.0517645
walkover	0.051736
turnoff	0.0515018
groundswell	0.0514661
"God's Will"	0.0513456
Catch-@@	0.0513265
"reference work"	0.05132
"civic duty"	0.0512172
Downer	0.0512095
minus-@	0.0510582
catharsis	0.0509461
"quid pro quo"	0.0509011
blowout	0.0504658
player-coach	0.0504348
"time machine"	0.0502418
"smoke screen"	0.0501438
"white elephant"	0.0500686
"line of products"	0.0500509
"tall order"	0.0499453
letdown	0.0497655
"silver lining"	0.0496727
"waiting game"	0.0496297
"pain in the neck"	0.0494449
"lynch mob"	0.0494244
bonanza	0.049238
pixie	0.0489011
"standard operating procedure"	0.048677
"day of reckoning"	0.0486365
"test case"	0.0482398
"pass catcher"	0.0481982
synonym	0.0480995
"high time"	0.0480119
lunatic	0.0480098
"act of God"	0.0479572
unanimity	0.0474413
"swan song"	0.047155
"carte blanche"	0.0470149
"dead end"	0.0470028
"quick fix"	0.0469518
first-rounder	0.0465252
slam-dunk	0.046441
"close call"	0.0463876
"the good old days"	0.0459767
recourse	0.0458397
cipher	0.0457949
hesitancy	0.0455713
ballgame	0.0454475
moonscape	0.0454474
tradeoff	0.0454297
compulsion	0.0454077
vindication	0.0453578
match-up	0.0453386
"good story"	0.0452595
wand	0.0451925
hardest	0.0451729
palliative	0.045072
"dollar amount"	0.0448935
"life preserver"	0.0446439
heartening	0.0445875
"patchwork quilt"	0.0445704
heresy	0.0445526
"rallying point"	0.0444969
corrective	0.0444624
whiner	0.0444399
knockdown	0.0442472
p/e	0.0441458
accoutrement	0.0440267
"Passion play"	0.0438921
"high-water mark"	0.0438338
unreality	0.0437659
striptease	0.0436792
"warning signal"	0.0434973
"difference of opinion"	0.0434794
chaser	0.0433824
bombshell	0.0431267
"hard sell"	0.0430065
"sitting duck"	0.0428926
ineffectiveness	0.0428464
"hunting season"	0.0427839
"seventh time"	0.0427108
flack	0.0425913
"great deal"	0.0425907
"horse race"	0.0425047
"small change"	0.0425004
lark	0.042475
"fifth homer"	0.0424713
"modus operandi"	0.042464
tap-in	0.0424323
"leap year"	0.0424291
pariah	0.04218
"good person"	0.0421418
"big picture"	0.0420577
"birthday gift"	0.0420204
travesty	0.041975
"four-letter word"	0.0419281
"three match points"	0.0419137
"fire wall"	0.0418565
smoother	0.0418174
time-frame	0.0418156
"mirror image"	0.0416959
washout	0.0416957
"critical point"	0.04161
"tidal wave"	0.0413949
mitzvah	0.0413855
"bear market"	0.0412875
screwball	0.0412068
"preconceived notion"	0.0411641
premonition	0.0411403
"trump card"	0.0409995
Webmaster	0.0408484
omen	0.0408234
"social event"	0.0406279
superhero	0.040627
errand	0.0405592
"open door"	0.0404726
misreading	0.040355
doormat	0.0402843
generalization	0.0402729
whammy	0.0402417
comedown	0.0402249
Icebox	0.0401998
adjective	0.040196
))
(Cal (desc 13641.1) (sims
"Oregon State"	0.2458
Edm	0.223164
phi	0.218413
Stl	0.215899
SJ	0.215007
"Arizona State"	0.214749
BUF	0.20665
Ott	0.20299
"Washington State"	0.199837
Stanford	0.186081
Det	0.185262
USC	0.18447
"San Jose State"	0.176975
col	0.175095
pho	0.174584
UCLA	0.172138
dal	0.170106
LSU	0.169672
Pepperdine	0.166353
"Kansas State"	0.162866
FLA	0.162326
tor	0.161731
"Ohio State"	0.1607
"Long Beach State"	0.160193
BYU	0.156875
Purdue	0.156343
"Florida State"	0.155615
"Penn State"	0.155451
Oregon	0.155326
"Brigham Young"	0.155058
"Georgia Tech"	0.15504
"San Diego State"	0.152124
"Texas Tech"	0.151387
"Notre Dame"	0.150845
Clemson	0.149559
"Iowa State"	0.149325
Ana	0.147814
ASU	0.146287
Rutgers	0.145096
"Colorado State"	0.143407
"Fresno State"	0.142767
"Virginia Tech"	0.141248
"Wake Forest"	0.140949
"Mississippi State"	0.140435
"Oklahoma State"	0.139944
Mon	0.139904
UNLV	0.138414
"Michigan State"	0.137166
Nebraska	0.136474
Vanderbilt	0.136274
"Louisiana Tech"	0.134432
"North Carolina State"	0.131986
"Utah State"	0.131795
northwestern	0.128334
SMU	0.127662
TCU	0.127558
"Boston College"	0.125323
Syracuse	0.1246
Tennessee	0.124204
"New Mexico State"	0.124031
Baylor	0.122639
Tulsa	0.121513
"Southern Cal"	0.120226
Arizona	0.119773
Villanova	0.118636
Cal.	0.117962
Duke	0.117744
gamecock	0.117141
"Southern Mississippi"	0.117023
UConn	0.116359
DePaul	0.114672
"Boise State"	0.11353
"Southwest Missouri State"	0.113272
Auburn	0.112538
"N.C. State"	0.112332
Tulane	0.111484
CSUN	0.111322
Wisconsin	0.1111
Sooners	0.11089
Boilermakers	0.110526
Gonzaga	0.110346
Michigan	0.110276
"Weber State"	0.110183
"Arkansas State"	0.110014
Xavier	0.109798
Minnesota	0.109101
ou	0.10873
"Green Bay"	0.108454
"Georgia Southern"	0.107704
"Minnesota Vikings"	0.107679
wildcat	0.107576
Seminoles	0.107378
Kansas	0.10731
"Montana State"	0.107075
Utah	0.106585
Kentucky	0.106026
Cornhusker	0.105683
Indiana	0.105445
Steelers	0.105209
"West Virginia"	0.104605
Redskin	0.104276
Trojan	0.103913
BEARS	0.103891
NA	0.103254
"Northern Arizona"	0.102448
FSU	0.101857
Alabama	0.101135
"Seton Hall"	0.100741
Huskers	0.0997843
Gators	0.0993399
"Cal State Northridge"	0.0991728
Arkansas	0.0990411
Miami	0.0988201
Marquette	0.0988122
"New York Giants"	0.0987792
tech	0.0982147
Colorado	0.0977346
"New York Jets"	0.097074
Jacksonville	0.0963225
Oklahoma	0.0962171
Longhorn	0.0958156
Lehigh	0.0957809
"Philadelphia Eagles"	0.0957568
Hawkeyes	0.0956422
"Washington Redskins"	0.0955579
Giants	0.0954855
"Nevada-Las Vegas"	0.0954119
NAU	0.0954064
"Idaho State"	0.095297
Eagles	0.0947147
Wolfpack	0.094699
"Dallas Cowboys"	0.0944841
"Tampa Bay"	0.094445
"East Carolina"	0.0942792
husky	0.0941191
"Chicago Bears"	0.0940182
Maryland	0.0930458
Louisville	0.0925649
UMass	0.092387
Seahawks	0.0919395
"North Carolina"	0.0916703
Pittsburgh	0.0910327
"Nittany Lions"	0.0907537
OSU	0.0905063
Cincinnati	0.0902021
"Louisiana State"	0.0900673
Jayhawks	0.0900322
"Tar Heels"	0.0898486
Denver	0.0898253
Razorback	0.0895081
"Denver Broncos"	0.0889825
ram	0.0889556
Missouri	0.0886143
"blue devil"	0.0884769
Hofstra	0.0881907
Georgetown	0.0878491
K-State	0.0870075
Aggies	0.086614
Bengals	0.0865169
"St. Louis Rams"	0.0864689
Portland	0.0864425
"Golden State"	0.0863782
Carolina	0.0863667
bronco	0.0863183
Celtics	0.0863056
"Scarlet Knights"	0.0860137
"Jackson State"	0.0858837
"Horned Frogs"	0.085874
BC	0.0857408
bruin	0.0856188
buckeye	0.0853526
Lobos	0.0853367
panther	0.0851464
"Loyola Marymount"	0.0846198
"Kansas City Royals"	0.0845372
Chi	0.0844624
Princeton	0.0844597
raider	0.0844564
Vols	0.0842753
Georgia	0.0841883
"D.C. United"	0.0839822
"Appalachian State"	0.0839431
Holik	0.0838455
"St. Bonaventure"	0.0836323
Fordham	0.0835861
"Calgary Flames"	0.0834903
"Trail Blazers"	0.0828101
Oakland	0.0827344
"Southern California"	0.0827148
Buffalo	0.082529
"Maple Leafs"	0.0824549
"Red Raiders"	0.0824386
"New Mexico"	0.0823503
Minutemen	0.0821643
Viking	0.081893
"Texas Christian"	0.0817579
bulldog	0.0816692
charger	0.0814332
"Fighting Irish"	0.0811926
Detroit	0.0810705
))
("Cal Ripken" (desc 8700.32) (sims
"Cal Ripken Jr."	0.274034
"Mike Bordick"	0.234692
"B.J Surhoff"	0.227081
"Albert Belle"	0.200688
"Harold Baines"	0.199932
"Roberto Alomar"	0.187779
"Delino DeShields"	0.187549
"Brady Anderson"	0.187305
"Will Clark"	0.184153
"Rafael Palmeiro"	0.182297
"Jeff Conine"	0.175928
"Manny Ramirez"	0.170814
"Scott Erickson"	0.170699
"Barry Bonds"	0.168
"Ken Griffey Jr."	0.161752
"Eric Davis"	0.158711
"Kenny Lofton"	0.152948
"Phil Nevin"	0.15029
"Frank Thomas"	0.148515
"Travis Fryman"	0.147599
"Tony Gwynn"	0.147267
"Bill Mueller"	0.145974
"Jose Canseco"	0.144975
"Matt Williams"	0.142782
"Juan Gonzalez"	0.141002
"Jim Thome"	0.140563
"Ken Caminiti"	0.140164
"Bernie Williams"	0.139568
"Troy Glaus"	0.139164
"Charles Johnson"	0.138852
"Ken Griffey"	0.138457
"Scott Rolen"	0.137476
"Robin Ventura"	0.137301
"Wade Boggs"	0.135426
"Sidney Ponson"	0.134853
Ripken	0.134476
"Fred McGriff"	0.134008
"Sandy Alomar"	0.1332
"Barry Larkin"	0.131547
"Chipper Jones"	0.131458
"Rickey Henderson"	0.131296
"Mike Mussina"	0.130951
"Jeff Bagwell"	0.130911
"Mike Piazza"	0.13073
"Edgar Martinez"	0.130684
"Alex Rodriguez"	0.130216
"Russ Davis"	0.127843
"Edgardo Alfonzo"	0.127505
"John Valentin"	0.127233
"Mark McGwire"	0.126065
"Herbert Perry"	0.125542
"Jose Hernandez"	0.125476
"Wally Joyner"	0.124559
"Larry Walker"	0.124315
"Carlos Delgado"	0.123978
"Dean Palmer"	0.123155
"Richie Sexson"	0.122448
"Todd Helton"	0.122112
"Nomar Garciaparra"	0.121501
"Omar Vizquel"	0.120981
"Scott Brosius"	0.120853
"Todd Zeile"	0.1208
"Wilton Veras"	0.120723
"Ivan Rodriguez"	0.120401
"John Olerud"	0.119528
Randa	0.119367
"Pat Burrell"	0.11917
Vidro	0.119124
"Derek Jeter"	0.118356
Zeile	0.117635
"Derrek Lee"	0.117514
Rolen	0.116672
"Vinny Castilla"	0.116285
"Craig Biggio"	0.11524
"Jose Vidro"	0.115219
"Joe Randa"	0.114489
"Bobby Smith"	0.114413
"Fernando Tatis"	0.114254
"Gary Sheffield"	0.113724
"Paul Konerko"	0.11305
"Adrian Beltre"	0.112936
"Greg Vaughn"	0.112195
"Jason Giambi"	0.111353
"Mike Lowell"	0.111282
"Mo Vaughn"	0.11091
"Jeff Cirillo"	0.109796
"Mark Grace"	0.109157
"Sammy Sosa"	0.109103
"Eric Karros"	0.108936
"Ron Coomer"	0.108419
"Jay Buhner"	0.108044
Canseco	0.107914
Glaus	0.107773
"Scott Spiezio"	0.107745
"Dante Bichette"	0.107661
"Bobby Bonilla"	0.10737
"Brian Jordan"	0.107239
"Kevin Jordan"	0.106871
Castilla	0.106416
Tatis	0.106367
Lieberthal	0.105938
"Willie Greene"	0.105899
"Aaron Boone"	0.105799
"Tony Batista"	0.105119
"David Bell"	0.105039
"Mike Stanley"	0.10464
Palmeiro	0.104339
Alfonzo	0.104271
"Henry Rodriguez"	0.104111
"Mike Lamb"	0.104045
"Chuck Knoblauch"	0.103541
"Pokey Reese"	0.103538
"Gerald Williams"	0.103407
Valentin	0.103352
"Sean Casey"	0.102756
"Bret Boone"	0.102345
Karros	0.102336
"Rusty Greer"	0.10206
McGriff	0.101007
"Eric Chavez"	0.100618
"Garret Anderson"	0.100597
"Mark McLemore"	0.100494
"Johnny Damon"	0.100323
"Shane Andrews"	0.1003
"Glenallen Hill"	0.100141
Alomar	0.0993043
"Rondell White"	0.0991082
"Marvin Benard"	0.0989174
"Javy Lopez"	0.0987947
Dunston	0.0987813
"Tino Martinez"	0.0987347
"Tony Clark"	0.0987154
"Carlos Baerga"	0.0985416
"Deivi Cruz"	0.0981695
"Matt Stairs"	0.0980766
"Jose Offerman"	0.0978473
"Dmitri Young"	0.0977303
"Jeff Kent"	0.0974629
"Darren Lewis"	0.0973768
Aurilia	0.0973528
"Chili Davis"	0.0973481
"Moises Alou"	0.097342
"Erubiel Durazo"	0.0973263
"Jason Kendall"	0.0969772
Burnitz	0.0965851
"J.T Snow"	0.0965034
"Quilvio Veras"	0.0964299
Olerud	0.0963608
"Mike Lansing"	0.0963011
"Luis Castillo"	0.0960707
Garciaparra	0.0960336
Cirillo	0.0956329
"Warren Morris"	0.0953396
"Shawn Green"	0.0952199
"Armando Benitez"	0.0950772
"Bill Spiers"	0.0950693
"Randy Velarde"	0.0945915
"Vladimir Guerrero"	0.0944335
"Darin Erstad"	0.0944179
"Steve Finley"	0.094379
Erstad	0.0943716
"David Segui"	0.0941981
"Carlos Lee"	0.0936818
Brosius	0.0934231
belle	0.0933039
"Matt Franco"	0.0930168
"Tony Eusebio"	0.0928543
Fryman	0.092567
"Mickey Morandini"	0.0924874
"Manny Alexander"	0.0923518
"Geoff Jenkins"	0.0923049
"Russ Johnson"	0.0922971
Lankford	0.0922486
"Rich Aurilia"	0.0922431
"Mark Loretta"	0.0922093
Giambi	0.0919665
"Ray Durham"	0.0918176
"Kevin Young"	0.0917887
"Andruw Jones"	0.0915319
"Fernando Vina"	0.0913499
"Lenny Harris"	0.0913109
"Matt Walbeck"	0.0912116
"Jim Edmonds"	0.0911597
"Jermaine Dye"	0.0909138
Beltran	0.0908456
Veras	0.0908439
"Tom Goodwin"	0.090736
"Lou Merloni"	0.0907123
"Gary Gaetti"	0.0901464
"Brian Daubach"	0.089943
"Ron Gant"	0.0898923
Griffey	0.0894814
Gwynn	0.0893532
"Mike Sweeney"	0.0891676
"Jay Bell"	0.0889381
"Adam Kennedy"	0.0887238
"Preston Wilson"	0.0885417
Caminiti	0.0883942
"Tim Salmon"	0.0878851
"Willie Mays"	0.0877661
))
("Cal Ripken Jr." (desc 4041.51) (sims
"Cal Ripken"	0.274034
"Wade Boggs"	0.177532
"Mike Bordick"	0.139325
"Brady Anderson"	0.137103
"Delino DeShields"	0.136636
"B.J Surhoff"	0.134552
"Barry Bonds"	0.13122
"Jose Canseco"	0.127941
"Will Clark"	0.125716
"Albert Belle"	0.125132
"Ken Griffey Jr."	0.121913
"Ken Griffey"	0.117504
"Russ Johnson"	0.113996
"Frank Thomas"	0.113675
"Willie Mays"	0.112602
"Rafael Palmeiro"	0.112425
"Bill Mueller"	0.112202
"Russ Davis"	0.111753
"George Brett"	0.108612
"Dean Palmer"	0.108043
"Herbert Perry"	0.107366
"Mike Lowell"	0.105265
"Wilton Veras"	0.10473
"Johnny Bench"	0.104192
"Bobby Smith"	0.104101
"Willie Greene"	0.103174
"Pat Burrell"	0.103008
"Barry Larkin"	0.10277
"Gary Gaetti"	0.102442
"Alex Rodriguez"	0.102335
"Eric Davis"	0.101725
"Tony Gwynn"	0.100824
"Mark McGwire"	0.0998367
Canseco	0.0983156
"Craig Paquette"	0.0981404
"Scott Erickson"	0.0975244
"Cristian Guzman"	0.0972939
"Joe Carter"	0.0963544
"Joe Morgan"	0.0959526
"Carlos Guillen"	0.0957588
"Stan Musial"	0.0957459
"Tony Fernandez"	0.0957451
"Jimmie Foxx"	0.0953438
"Vinny Castilla"	0.0953429
"David Bell"	0.0953084
"Ken Caminiti"	0.0951933
"John Valentin"	0.0950216
"Shane Andrews"	0.0940945
"Harold Baines"	0.0940937
"Jeff Bagwell"	0.0939933
"Jose Hernandez"	0.0937924
"Lou Merloni"	0.0934568
"Juan Gonzalez"	0.0931034
"Carlos Baerga"	0.0929817
"Jeff Cirillo"	0.0929747
"Travis Fryman"	0.0929031
"Tony Batista"	0.0927756
"Aaron Boone"	0.0926001
"Larry Walker"	0.0924989
"Phil Nevin"	0.0920289
"Nomar Garciaparra"	0.0916981
"Rickey Henderson"	0.091341
"Jeff Conine"	0.0904941
"Jesse Orosco"	0.0901733
"Robin Ventura"	0.0901608
"Manny Alexander"	0.0896426
"Todd Zeile"	0.0892279
"Fred McGriff"	0.0883058
"Mickey Mantle"	0.087833
"Jeff Huson"	0.0874933
"Hank Aaron"	0.0865311
Ripken	0.0861972
"Kevin Orie"	0.0859604
"Carlos Delgado"	0.0858858
"Ivan Rodriguez"	0.0856874
"Fernando Tatis"	0.0856487
"Mark Loretta"	0.0850687
"Roberto Alomar"	0.084869
"Joe Randa"	0.084831
"Scott Rolen"	0.0842133
"Ron Coomer"	0.0840312
"Dave Martinez"	0.084026
"Pokey Reese"	0.0836558
"Royce Clayton"	0.0836096
"Luis Alicea"	0.083393
"Enrique Wilson"	0.0831925
"Dave Hollins"	0.0825606
"Dale Murphy"	0.0823135
"Manny Ramirez"	0.0822272
"Sammy Sosa"	0.0820522
"Bill Spiers"	0.0815231
"Charlie Hayes"	0.0813657
"Mike Mussina"	0.0812489
"Marvin Benard"	0.0811168
"Wally Joyner"	0.0804119
"Ty Cobb"	0.0803412
"Greg Vaughn"	0.0799262
"Eric Chavez"	0.0799247
"Sean Berry"	0.0796868
"Mickey Morandini"	0.0789099
Zeile	0.078605
"Jim Thome"	0.0784354
"John Olerud"	0.0782109
"Drew Henson"	0.0778888
"Reggie Jackson"	0.0778572
"Derek Jeter"	0.0775956
"Omar Vizquel"	0.0774515
"Mike Schmidt"	0.0773361
"Kenny Lofton"	0.0770916
"Kevin Jordan"	0.0770678
"Scott Brosius"	0.0766203
"Neifi Perez"	0.0764765
"Damian Jackson"	0.0764676
"Troy Glaus"	0.0762604
"Mike Lamb"	0.0758102
"Rod Carew"	0.0757936
"Erubiel Durazo"	0.0757758
"Matt Williams"	0.07577
"Edgar Renteria"	0.0757513
"Eddie Mathews"	0.0753883
"Chipper Jones"	0.0753362
"Benji Gil"	0.0752255
"Johnny Damon"	0.0752233
"Mike Timlin"	0.0750621
Gwynn	0.0744993
"Doug Glanville"	0.074191
"Kurt Abbott"	0.0739311
"Luis Sojo"	0.073855
Boggs	0.0737369
"Rich Aurilia"	0.0736599
"Frank Robinson"	0.0733254
"Corey Koskie"	0.0732453
"Pat Meares"	0.0728865
"Ricky Gutierrez"	0.0728749
"Tim Bogar"	0.0725933
Brosius	0.0720529
"Matt Franco"	0.071818
"Vladimir Guerrero"	0.071705
"Chris Gomez"	0.0713173
"Mo Vaughn"	0.0710004
"Babe Ruth"	0.070359
"Charles Johnson"	0.0703255
"Ed Sprague"	0.0702399
"Mike Piazza"	0.0700098
"Sandy Alomar"	0.0700014
Glaus	0.0699161
"Luis Castillo"	0.0699135
"Bobby Bonilla"	0.0698506
"Deivi Cruz"	0.068727
"Dante Bichette"	0.0686751
"Jose Valentin"	0.068433
"Ted Williams"	0.0683819
"Adrian Beltre"	0.0679341
Lofton	0.0675473
Castilla	0.0673895
"Lenny Harris"	0.0672422
"Mark Grace"	0.0672377
"Mike Caruso"	0.0671794
"David Segui"	0.067111
"Frank Catalanotto"	0.0670059
"Paul Molitor"	0.0669812
"Travis Lee"	0.0668212
"Jay Buhner"	0.0667651
Renteria	0.0665699
"Sidney Ponson"	0.0665634
"Jose Offerman"	0.0663944
"Edgar Martinez"	0.0660511
"Edgardo Alfonzo"	0.065897
"Chili Davis"	0.0653612
Valentin	0.065329
Veras	0.065295
"Clay Bellinger"	0.065265
"Juan Castro"	0.0652409
Palmeiro	0.0652388
"Ray Lankford"	0.0651086
"Alfonso Soriano"	0.0650802
"Richie Sexson"	0.0649238
"Carlos Febles"	0.0648048
"Bernie Williams"	0.0647059
"Juan Encarnacion"	0.0642483
"Juan Guzman"	0.0640573
"Rafael Furcal"	0.0640063
"Pudge Rodriguez"	0.0638347
"Miguel Cairo"	0.0636401
"Terrence Long"	0.0634169
Konerko	0.0633861
Randa	0.063331
"Kevin Stocker"	0.0631778
"Jeff Frye"	0.0625646
Caminiti	0.0622104
Griffey	0.0621877
"Eddie Murray"	0.0620564
"Ernie Banks"	0.0617013
"Quilvio Veras"	0.0616505
"Tony Perez"	0.0610886
"Walt Weiss"	0.0606201
DiSarcina	0.0604553
"Preston Wilson"	0.0602924
"Fernando Vina"	0.0601131
"Jackie Robinson"	0.0599826
))
("Cal State Fullerton" (desc 1353.51) (sims
"Loyola Marymount"	0.176289
"St. Bonaventure"	0.143385
"UC Santa Barbara"	0.140462
Fullerton	0.110788
"Miami Fusion"	0.104647
Pepperdine	0.0988204
"Long Beach State"	0.0983953
"Dallas Burn"	0.0934738
"Fresno State"	0.0906108
"Seton Hall"	0.0878071
"Iowa State"	0.0874135
"Villa Park"	0.085284
"Washington Mystics"	0.0841686
"Tokyo Dome"	0.0836145
Gelsenkirchen	0.0816977
"Arkansas State"	0.0797282
"Southwest Missouri State"	0.0786504
"Arizona State"	0.0785502
"Melbourne Park"	0.0771455
"Nevada-Las Vegas"	0.0755196
"Mississippi State"	0.075253
"Montana State"	0.0752107
"New York-New Jersey MetroStars"	0.0740906
Kitzbuehel	0.0730452
"North Carolina State"	0.0711473
Purdue	0.0705704
"Calgary Flames"	0.0704163
Halle	0.0702128
"Chicago Blackhawks"	0.0699561
"Cal State Northridge"	0.0690265
"Penn State"	0.0690057
Iona	0.069004
LSU	0.0689428
"Utah State"	0.0688792
"Phoenix Mercury"	0.0675651
Heerenveen	0.0671556
"McNeese State"	0.0661679
"Minnesota Twins"	0.0656766
Rutgers	0.0655073
"New York Liberty"	0.0654542
"Southern Cal"	0.0654351
Villanova	0.0651402
Foxboro	0.0649441
"Carolina Hurricanes"	0.0645543
"Compaq Center"	0.064111
Khost	0.063785
"Cleveland Cavaliers"	0.063776
Gonzaga	0.0636931
"San Jose State"	0.0630424
Linz	0.0629197
Highbury	0.0624348
"Colorado State"	0.0620916
"Oba Carr"	0.0620739
"San Jose Sharks"	0.0618894
Hakuba	0.0613193
"Sacramento State"	0.0609208
"Kansas State"	0.0607171
"Vancouver Grizzlies"	0.0606016
"New Mexico State"	0.0605728
"Kansas City Royals"	0.0604687
"Oregon State"	0.0597409
"Olympic Winter Games"	0.0593031
"Joe Louis Arena"	0.0591247
"Stamford Bridge"	0.0587225
"Atlanta Hawks"	0.0585736
"Tropicana Field"	0.0584034
"San Bernardino"	0.0581764
Kashima	0.0580068
"Edmonton Oilers"	0.0577068
Cal.	0.0576502
"Dallas Mavericks"	0.0570759
"Oklahoma State"	0.0568564
Filderstadt	0.0565308
Chiba	0.0564132
"Santa Clara"	0.0563413
UNLV	0.0562561
"Devil Stadium"	0.0559792
"Leicester City"	0.0559702
"D.C. United"	0.05569
"Fighting Irish"	0.0556591
Eastbourne	0.0555876
Basle	0.0552676
Supersonics	0.0550837
"East Carolina"	0.0549653
Xavier	0.05489
Cal	0.0547258
"Idaho State"	0.0546936
"Monmouth Park"	0.0542538
"Edison Field"	0.0541287
"Phoenix Coyotes"	0.0539307
"Texas Tech"	0.0536481
Lahti	0.0535088
"Buffalo Sabres"	0.0531818
"Iranian Foreign Ministry"	0.052927
Wembley	0.0527593
"Washington State"	0.052737
"Boston Bruins"	0.0525635
"Boca Juniors"	0.0525112
"Chicago Bears"	0.0523288
Metrodome	0.0523033
"Market Square Arena"	0.0522602
"Golden State Warriors"	0.0521016
"Colorado Avalanche"	0.0519566
"Chicago Fire"	0.0517687
"Wake Forest"	0.051756
"Vancouver Canucks"	0.0517439
Chamonix	0.0516725
"New York Giants"	0.0515652
"World University Games"	0.0514062
Alamodome	0.0513379
"Cotton Bowl"	0.0512403
"Nashville Predators"	0.0510843
"French Grand Prix"	0.0510085
"West Ham"	0.0505152
"Oakland Athletics"	0.0504866
Marquette	0.0504287
"Kremlin Cup"	0.0503481
Lecce	0.050304
"Los Angeles Galaxy"	0.050153
"Kyle Field"	0.0499155
"Florida Panthers"	0.0498808
Bari	0.0496333
"World Team Cup"	0.0496086
Messina	0.0495849
"New Orleans Saints"	0.0495227
"Colorado Rockies"	0.0492053
"Safeco Field"	0.0491485
"San Diego Chargers"	0.0491128
"Green Bay Packers"	0.0490788
"Conseco Fieldhouse"	0.0490002
"Continental Arena"	0.0489334
Engelberg	0.048928
"Pepsi @@@"	0.0488423
"Sacramento Kings"	0.04881
"Washington Capitals"	0.0488055
"Toronto Maple Leafs"	0.0487671
"N.C. State"	0.0486431
RedHawks	0.0483628
"Orlando Magic"	0.0482622
"European Swimming Championships"	0.0482409
"Montreal Expos"	0.0480972
"Old Trafford"	0.047969
Nicol	0.0479478
"Miami Arena"	0.0478162
"Los Angeles Kings"	0.0477622
"Philadelphia Flyers"	0.0475833
Falun	0.0474918
"Jim Harrick"	0.0472847
"Volleyball Grand Prix"	0.0471237
"Southern Methodist"	0.0471231
"Pro Player Stadium"	0.0471223
"East Asian Games"	0.0471095
"Charlotte Hornets"	0.0470394
"Foxboro Stadium"	0.046865
"Louisiana Tech"	0.0468438
"Indiana State"	0.0465639
"Miami Heat"	0.0465474
Cornhusker	0.0465021
"Washington Wizards"	0.0463584
"Northern Arizona"	0.046355
Ipoh	0.0463407
"St. Louis Rams"	0.0462326
"Denver Nuggets"	0.0461545
"Stockholm Open"	0.0461544
"Indian Wells"	0.0460756
"Kansas City Chiefs"	0.0460679
"Erubiel Durazo"	0.0459184
"Melbourne Cricket Ground"	0.0457178
"Tennessee Titans"	0.0456801
"skiing race"	0.0455963
"Busch Stadium"	0.0455823
"Metropolitan Opera House"	0.045498
"Ottawa Senators"	0.0452715
Lehigh	0.0450819
"TOMS RIVER"	0.0450624
Freiburg	0.0449967
"Indiana Pacers"	0.0448658
DePaul	0.0447798
"UC Irvine"	0.0447094
Edberg	0.04469
Jayhawks	0.044672
niner	0.0446302
"Key Biscayne"	0.0446279
Springbok	0.0445342
Hobart	0.044522
"Oakland Raiders"	0.0444716
Sapporo	0.044361
Vanderbilt	0.0441908
"Victoria Park"	0.0441153
"Jacksonville Jaguars"	0.0441076
Rosenborg	0.0440843
Lobos	0.0439874
"Eastern Washington"	0.043975
"Nottingham Forest"	0.0439692
"Qualcomm Stadium"	0.0439063
"Pittsburgh Penguins"	0.043873
"New Jersey Devils"	0.0438511
"Reunion Arena"	0.043722
Trondheim	0.0434806
thana	0.0434682
))
("Cal State Northridge" (desc 4768.49) (sims
CSUN	0.207117
"Long Beach State"	0.193893
"University of Connecticut"	0.192232
"University of Kentucky"	0.168422
"Arizona State"	0.163682
"University of Houston"	0.159918
USC	0.155612
Pepperdine	0.149941
"Boston College"	0.14672
"Horned Frogs"	0.139797
"University of Washington"	0.139245
SMU	0.138879
"University of Oklahoma"	0.136874
UNLV	0.135964
UCLA	0.135203
TCU	0.134888
"Georgia Tech"	0.131198
varsity	0.129432
BYU	0.129374
ou	0.129091
ASU	0.128315
"University of South Carolina"	0.126768
"University of Georgia"	0.126615
"University of Texas"	0.121056
"Notre Dame"	0.118921
"Ohio State"	0.116783
Baylor	0.115237
"Oregon State"	0.11485
OSU	0.114451
"University of Minnesota"	0.114381
"San Diego State"	0.112721
K-State	0.112443
"University of Florida"	0.111
"University of Miami"	0.110582
"Louisiana State University"	0.10987
"University of Tennessee"	0.109412
"Nevada-Las Vegas"	0.108866
Northridge	0.108309
UW	0.107896
Tulane	0.107138
Stanford	0.106067
FSU	0.106045
"Kansas State"	0.105232
"Boston University"	0.104641
"University of Rhode Island"	0.104302
"North Carolina State"	0.103752
"Southern Cal"	0.10325
"San Jose State"	0.102589
"Northern Arizona"	0.102525
"University of Massachusetts"	0.102355
"Texas Tech"	0.10177
Purdue	0.100719
"East Carolina"	0.100489
"Crimson Tide"	0.0995707
"Washington State"	0.0994646
Cal	0.0991728
UGA	0.0983976
Sooners	0.0980202
"Fresno State"	0.0978458
"Fighting Irish"	0.0974822
"Indiana University"	0.0972482
"Holy Cross"	0.0965941
"University of Michigan"	0.0960152
Fordham	0.095709
"Penn State"	0.0950713
"junior college"	0.0943275
"UC Santa Barbara"	0.0939561
UNC	0.0933784
"University of Nebraska"	0.0927361
matador	0.0919796
"University of Arizona"	0.0915647
UA	0.0905859
UConn	0.0905587
"Virginia Tech"	0.0899847
"University of Southern California"	0.0899015
Rutgers	0.0898373
"University of Hawaii"	0.0895801
"Southwest Missouri State"	0.0885742
"Colorado State"	0.0885463
WSU	0.0883833
UMass	0.0881585
Mavs	0.0881007
peewee	0.0873162
UT	0.0872461
"air force academy"	0.0871708
"University of Dayton"	0.0867595
"University of North Carolina"	0.0865793
gamecock	0.0857899
Unh	0.0855749
"U.S. Olympic"	0.0855532
"Arena League"	0.0851451
"University of Mississippi"	0.0850231
"Florida State"	0.0849063
"University of Oregon"	0.0845561
tech	0.0844148
"Georgia State"	0.0839495
"Idaho State"	0.0830603
"University of Colorado"	0.0830092
"Weber State"	0.0824931
Villanova	0.082341
Auburn	0.0822213
LSU	0.0820447
"Tar Heels"	0.081683
"Georgia Southern"	0.0815018
Vanderbilt	0.0807313
Pitt	0.0807132
Clemson	0.0806222
"Red Raiders"	0.0805732
"University of Kansas"	0.0805086
"Division @"	0.0802568
UNT	0.0799684
"Iowa State"	0.0799646
"University of Pittsburgh"	0.0799087
NAU	0.079536
"Texas longhorn"	0.0794608
"Michigan State"	0.0793798
"Northwestern University"	0.0787424
"yellow jacket"	0.077618
"Appalachian State"	0.0770249
Huskers	0.0765721
"Loyola Marymount"	0.076261
"New Mexico State"	0.0759747
Nebraska	0.075838
"Chicago Bears"	0.0758352
"Detroit Lions"	0.075727
"Brigham Young"	0.0752606
"University of Alabama"	0.0750001
Princeton	0.074999
highschool	0.0749739
Georgetown	0.0746007
northeastern	0.074464
KU	0.0743445
Bu	0.0741969
"West Point"	0.0741439
"University of Maryland"	0.0736831
UD	0.0735457
Dartmouth	0.0734896
IU	0.0734762
"Texas Christian University"	0.0734474
BC	0.0733428
"Boise State"	0.0732032
cougar	0.0728364
"Ohio State University"	0.0725447
"Seton Hall"	0.0725236
Wolfpack	0.0724951
"Vanderbilt University"	0.0721182
"Wake Forest"	0.0720505
Aggies	0.0719554
northwestern	0.0718735
"Oklahoma State"	0.0715569
"Old Dominion"	0.0714975
Duke	0.0710712
Gonzaga	0.0708749
Razorback	0.070094
Pac-@@	0.0699885
"Mississippi State"	0.0698451
Yale	0.0698223
"Saint Louis"	0.0697575
"St. Bonaventure"	0.0696012
"Tennessee Titans"	0.0694251
Boilermakers	0.0693463
"University of Utah"	0.0691901
"American University"	0.0690929
"Cal State Fullerton"	0.0690265
UAB	0.0689223
"Southern Methodist"	0.0685274
Grambling	0.0681753
"Dallas Cowboys"	0.0679903
"ATLANTA FALCONS"	0.0674782
"Baltimore Ravens"	0.0673448
"Atlanta Hawks"	0.0672101
Gators	0.0670217
Rattler	0.0667409
"Denver Broncos"	0.0666845
"Georgetown University"	0.0661921
"University of Virginia"	0.0657794
"Seattle Seahawks"	0.0656888
Steelers	0.0656829
"University of Cincinnati"	0.0655486
"Oakland Raiders"	0.0654931
"San Diego Chargers"	0.0654745
Hofstra	0.0654318
poly	0.0653652
Kentucky	0.0650212
Lehigh	0.0650118
"Pittsburgh Steelers"	0.0649983
"St. Louis Rams"	0.0647275
"Arkansas State"	0.0645204
"Green Bay Packers"	0.0644623
"Los Angeles Galaxy"	0.0643629
Brandeis	0.0642124
Tennessee	0.0642102
"Nittany Lions"	0.064165
UTEP	0.0640809
Syracuse	0.0639836
"New York Jets"	0.0639512
"Minnesota Vikings"	0.0638027
"Kansas City Chiefs"	0.0637357
"Los Angeles Rams"	0.0634104
Alabama	0.0633666
))
(Cal. (desc 1963.91) (sims
"Arizona State"	0.12934
Cal	0.117962
"Fresno State"	0.106796
"Oregon State"	0.105197
"San Diego State"	0.103889
"Brigham Young"	0.0990498
"Ohio State"	0.090061
"Notre Dame"	0.0898728
"Washington State"	0.0840516
Pepperdine	0.0820422
Purdue	0.0811744
"Montana State"	0.0801102
"Nevada-Las Vegas"	0.0770813
"Kansas State"	0.0764882
"Colorado State"	0.074432
"UC Santa Barbara"	0.0742359
LSU	0.0739152
"New Mexico State"	0.073089
"Georgia Tech"	0.0722866
"Penn State"	0.0720104
"Southwest Missouri State"	0.0717564
"Mississippi State"	0.0699173
"Long Beach State"	0.0680686
"Seton Hall"	0.06625
Villanova	0.0650413
"Utah State"	0.0644421
"Florida Panthers"	0.062968
BYU	0.0626217
"North Carolina State"	0.06223
UNLV	0.061288
"Loyola Marymount"	0.0608953
"Calgary Flames"	0.0604995
"Texas Tech"	0.0590417
DePaul	0.059032
"Old Dominion"	0.0588603
"St. Louis Rams"	0.0585177
"Carolina Hurricanes"	0.0580952
"Cal State Fullerton"	0.0576502
Gonzaga	0.0562537
Alabama-Birmingham	0.0552467
"Southern Mississippi"	0.0542465
"Iowa State"	0.0542331
"Louisiana Tech"	0.0540811
"East Carolina"	0.0539612
"Boise State"	0.0536338
Calif.	0.0529449
"Oklahoma State"	0.0528801
"Washington Redskins"	0.0524288
"Kansas City Royals"	0.0523804
"Philadelphia Phillies"	0.0519585
"Tampa Bay Buccaneers"	0.0517196
Xavier	0.0510356
"Arizona Cardinals"	0.0506574
"Northern Arizona"	0.0497416
"Oakland Raiders"	0.0495493
"Minnesota Vikings"	0.0493526
"New Orleans Saints"	0.0486887
"Wake Forest"	0.0486851
"Southern Cal"	0.0460481
"Idaho State"	0.0448615
"Texas Christian"	0.0446368
"Buffalo Bills"	0.0444895
"Montreal Canadiens"	0.0443271
"Vancouver Canucks"	0.0440361
"Weber State"	0.0434734
"Kansas City Chiefs"	0.0431583
"San Jose State"	0.043134
"Nashville Predators"	0.0430073
"Tampa Bay Lightning"	0.0429462
"Baltimore Ravens"	0.0427156
UA	0.0426234
"Pittsburgh Penguins"	0.0424149
"Jacksonville Jaguars"	0.0416415
"New York Liberty"	0.0405395
))
(Calabasas (desc 1764.97) (sims
"Westlake Village"	0.220737
"Santa Clarita"	0.215716
"Thousand Oaks"	0.214655
"Simi Valley"	0.211906
Camarillo	0.211514
"Woodland Hills"	0.203155
Encino	0.182198
Emeryville	0.174406
Chatsworth	0.174187
"South San Francisco"	0.169348
Burlingame	0.168818
Tarzana	0.168349
Sunnyvale	0.162081
"Sherman Oaks"	0.159028
LAKEWOOD	0.158036
"Van Nuys"	0.153755
Oxnard	0.14698
"Pacific Palisades"	0.146569
Reseda	0.145712
"East Orange"	0.142177
"Walnut Creek"	0.141914
"El Segundo"	0.138574
Sausalito	0.138537
"Culver City"	0.138123
"San Rafael"	0.138079
"Palm Beach Gardens"	0.133807
Alameda	0.132618
Cupertino	0.132019
"San Mateo"	0.132006
"Redwood City"	0.131861
"Mountain View"	0.131692
"Newport Beach"	0.130764
"Mission Viejo"	0.130643
Fremont	0.130121
"Studio City"	0.129036
Needham	0.127897
"Century City"	0.127383
Glendale	0.124817
"North Hollywood"	0.12279
Brentwood	0.122483
"West Hollywood"	0.120657
Carlsbad	0.120229
Petaluma	0.118026
Englewood	0.117607
"Manhattan Beach"	0.117148
Woodside	0.116624
"La Jolla"	0.116449
Alpharetta	0.115978
Burbank	0.11553
Norcross	0.113577
Dearborn	0.11323
"San Luis Obispo"	0.111824
Braintree	0.11102
"Mill Valley"	0.110686
"Granada Hills"	0.110178
Palmdale	0.109996
"Palo Alto"	0.109822
"Santa Ana"	0.109009
"Round Rock"	0.107913
"Paradise Valley"	0.10663
"Santa Monica"	0.10646
Carmel	0.105915
"Virginia Beach"	0.105551
"Overland Park"	0.105478
Torrance	0.10539
Reston	0.104472
"Menlo Park"	0.104369
Naperville	0.104267
Westfield	0.103667
"Sonoma County"	0.102822
Fairfax	0.101294
Leawood	0.101147
Plano	0.100374
"Saratoga Springs"	0.100354
Tarrytown	0.0988725
Pleasanton	0.0980073
Rockville	0.0979835
"Delray Beach"	0.0973374
Westport	0.0959908
"Santa Barbara"	0.0952567
Morristown	0.0949494
Eureka	0.0947552
"Marin County"	0.0942957
Farmington	0.093994
Wellesley	0.0937552
Pasadena	0.0934577
Claremont	0.0930559
"San Pedro"	0.091792
"White Plains"	0.0911897
ARCADIA	0.091124
Ojai	0.0906332
Northridge	0.0905775
Carrollton	0.0903454
"Coral Gables"	0.0902958
Bakersfield	0.0898726
"Cherry Hill"	0.0897835
Medford	0.0895898
Woburn	0.0892638
"Santa Rosa"	0.0889381
Hayward	0.0884742
Falmouth	0.0883883
riverside	0.0883823
"Boynton Beach"	0.0880893
"Sun City"	0.0880286
Framingham	0.08793
"Santa Clara"	0.0877645
"Silver Spring"	0.0874691
"Fairfax County"	0.0856122
oceanside	0.0853962
"Santa Clara County"	0.0852731
Acton	0.0850449
Compton	0.084711
"San Marcos"	0.0843772
"Midtown Manhattan"	0.0841738
Hialeah	0.0837142
"West Palm Beach"	0.0836949
"Hollywood Hills"	0.0834293
"San Carlos"	0.0828084
"Fort Lee"	0.0826347
Herndon	0.0826251
Norwalk	0.0826192
Bellevue	0.0822953
Hillsborough	0.0821885
"Beverly Hills"	0.081859
Irvine	0.0815681
Somerville	0.0815388
Antioch	0.0814485
Dunwoody	0.0811799
Danbury	0.0800877
Stamford	0.0798405
Fresno	0.0798377
Pomona	0.0798134
"Research Triangle Park"	0.0797247
"West Orange"	0.0793705
"Riverside County"	0.0788072
Randolph	0.0783765
"Huntington Beach"	0.0782756
Malibu	0.0780855
Hopkinton	0.07801
Waltham	0.077458
"Boca Raton"	0.0772921
Duluth	0.0771822
Hillsboro	0.0771031
"San Fernando"	0.0768039
"Daytona Beach"	0.076274
Bethesda	0.0757059
Rey	0.0741309
Derry	0.0741266
Smyrna	0.0740422
"Bel Air"	0.0739607
non-Indian	0.0737524
Danville	0.0737039
"Orange County"	0.0735501
Chatham	0.073442
Westlake	0.0726904
"San Pedro Sula"	0.0724882
Stockbridge	0.0721352
Scottsdale	0.0719624
Bangor	0.071576
Provo	0.0713942
Fairfield	0.0712851
Riverdale	0.0711146
Watertown	0.0710838
"Ventura County"	0.0708725
"Gwinnett County"	0.0708567
Kirkland	0.070848
Katy	0.0704022
Nago	0.07031
"Mount Lebanon"	0.0696944
"East Boston"	0.069603
Greenwich	0.0693999
Chappaqua	0.0690262
Racine	0.0689299
"Jefferson City"	0.0687244
"Central Jakarta"	0.0687143
Longview	0.0686691
Poughkeepsie	0.0686476
BRIGHTON	0.0684841
Missoula	0.0683398
Malden	0.0682425
Marietta	0.0681171
Evanston	0.0674528
Fontana	0.0671702
Rockdale	0.067106
Redding	0.0667472
Montclair	0.0667142
Matamoros	0.0665995
Marlborough	0.0665008
"Jasper County"	0.0663952
Monterey	0.0663171
"Washington D.C."	0.0658971
"San Fernando Valley"	0.0657674
Pittsfield	0.0656941
Lafayette	0.0656886
Corona	0.0654096
Kensington	0.0653689
Elmira	0.0652778
Houghton	0.065204
"Palm Springs"	0.0651267
"North End"	0.0649381
))
(Calabria (desc 1540.29) (sims
Umbria	0.213486
Puglia	0.114107
Tella	0.104809
Pisa	0.0819261
Stefano	0.079405
Tuscany	0.0770559
"Rift Valley Province"	0.0737679
Napoli	0.073167
Piedmont	0.0721968
Luca	0.0695584
Naples	0.068637
Catalonia	0.0679488
Nago	0.0676823
Hazzard	0.0652893
Krasnoyarsk	0.0648925
"Vancouver Island"	0.064608
Herat	0.0640019
Mullaitivu	0.0626558
Khabarovsk	0.0626173
Sakhalin	0.0618115
Tigray	0.0617948
Lugano	0.0614651
Trieste	0.0614259
Dubrovnik	0.0612406
Decani	0.0593957
Moshi	0.0593749
Uvira	0.0586423
Venezia	0.0585331
Siena	0.057749
latte	0.0570206
Gnjilane	0.0559605
Brittany	0.0558063
Hakkari	0.0556833
"Yucatan Peninsula"	0.055458
Savoy	0.055415
Novosibirsk	0.055183
Parma	0.0551274
Antioquia	0.0551096
Buckingham	0.0547965
Beaufort	0.0539534
Posoltega	0.0534398
Mtwara	0.0532261
"West Los Angeles"	0.0530692
"first CD"	0.0530046
Grande	0.052778
Kaliningrad	0.0519614
Mira	0.0514339
"Chiang Rai"	0.0510685
Vlore	0.0509705
Bengkulu	0.0508191
Darien	0.0505216
"Huntington Beach"	0.0502479
Srbica	0.0501096
Drenica	0.0498728
"Suva Reka"	0.0497991
Khost	0.0495402
"Eastern Slavonia"	0.0494098
Ojai	0.0493997
Kyushu	0.0492566
Vojvodina	0.0490692
"Bohai Sea"	0.0490279
PALERMO	0.0485574
Soares	0.0483847
Provence	0.0482198
Gloucester	0.0481741
"East Kalimantan"	0.0481542
Bari	0.0479812
"Niger Delta"	0.0479408
Kigoma	0.047582
Urosevac	0.0475784
Murmansk	0.0473721
Tanga	0.0467451
Bailundo	0.0466527
"French Alps"	0.0463795
Abkhazia	0.0458899
Piacenza	0.0457028
Como	0.0456849
Lorraine	0.0456692
Orleans	0.0451364
Jenin	0.0451015
Figaro	0.0450625
Borneo	0.0448417
Najaf	0.0447407
Newfoundland	0.0446863
Alsace	0.044648
Vitoria	0.0443595
Makeni	0.0443464
Cotabato	0.0441528
Genoa	0.0441048
Cavalese	0.043952
Prijedor	0.0435712
Dijon	0.0431928
Ballymoney	0.0431906
Golcuk	0.0431867
alba	0.0431005
"Kinder Bologna"	0.0429092
Naperville	0.0428731
Bella	0.0428464
Rafah	0.0428253
"Baja California"	0.0425908
Benguela	0.0424077
Bohemia	0.042177
Belacevac	0.042127
"New South Wales"	0.0420566
Podujevo	0.0420375
Daghestan	0.0416973
Isfahan	0.0416036
Catania	0.0414847
foothills	0.0414413
Perugia	0.0413982
Poughkeepsie	0.0409644
Somaliland	0.0408315
Nagorno-Karabakh	0.0406925
Larnaca	0.0406126
monde	0.0405335
Kismayu	0.04048
Klina	0.0402942
Flatbush	0.040189
))
(Calais (desc 2264.03) (sims
Durres	0.103659
Matadi	0.0986563
Salonica	0.0927759
Dunkirk	0.0927466
Lewiston	0.0926582
Matamoros	0.0888439
Lille	0.0883774
Orleans	0.0830257
Assab	0.0826994
Antwerp	0.0816514
Trieste	0.0810284
Palma	0.080627
Vlore	0.0805829
Marseilles	0.0774405
Murmansk	0.0773221
Inchon	0.0753909
Malaga	0.0752309
Avignon	0.0746608
Toulon	0.0745382
Piraeus	0.0730856
Balboa	0.0725491
Limassol	0.0709003
Golcuk	0.0700256
Bangor	0.0699781
Larnaca	0.0692349
Haicheng	0.0681042
Chamonix	0.06744
Caen	0.066946
Macoris	0.0669296
"Paris St Germain"	0.0662639
Valparaiso	0.0662082
Kismayu	0.0661327
Merca	0.0660508
Odessa	0.0659648
Aqaba	0.0656376
Sevastopol	0.0655736
Oro	0.0650964
Basra	0.0642837
Dijon	0.0642022
Chittagong	0.0635706
Lugano	0.0629719
Trincomalee	0.0628027
Limon	0.0623792
Brunswick	0.0621694
Pusan	0.0618759
Waterville	0.0617342
"Laurent Brochard"	0.0616959
Sidon	0.061668
Bayonne	0.0616135
Sihanoukville	0.061582
"Port Said"	0.0611751
Beira	0.0610189
Haifa	0.0605671
Albertville	0.0598585
Mtwara	0.0598536
Aden	0.0596174
Rennes	0.0593453
Ensenada	0.0587417
Dubrovnik	0.0584622
Suez	0.0584007
"Arnaud Di Pasquale"	0.0583323
Salonika	0.0582893
"San Cristobal"	0.0577051
Bastia	0.0573306
Falmouth	0.0573148
Heathrow	0.0569943
Cannes	0.0563562
Limoges	0.0561053
Burgos	0.0558949
Gdansk	0.0557984
Freeport	0.0556154
Makhachkala	0.0550857
Montpellier	0.0549622
"Jean-Philippe Gatien"	0.054628
Zhangjiagang	0.0545031
Vladivostok	0.0541248
Jeddah	0.0539791
"Grand Central"	0.0538903
Liege	0.0536998
"Didier Auriol"	0.053632
Kalemie	0.0535406
Warri	0.0530538
Casas	0.0530261
Manta	0.052974
Tabriz	0.0529595
Kaohsiung	0.0527971
Valdez	0.052738
Plata	0.0527303
Normandy	0.0524318
Dover	0.0524186
Farmington	0.0522747
Kennebunkport	0.0522465
Versailles	0.0521974
Grenoble	0.0520257
Charleroi	0.0515256
Bushehr	0.0514438
Durban	0.0513633
Mombasa	0.051326
Cartagena	0.0512402
Kandy	0.0500903
Izmir	0.0500263
Merida	0.0499321
LaGuardia	0.0496974
Jolo	0.0496581
bethel	0.0496209
Bruijn	0.0494693
Kizlyar	0.0494464
Brittany	0.0494456
Nantes	0.0492422
Veracruz	0.0492299
Guerra	0.0490554
"Olivier Delaitre"	0.0490123
"Guy Forget"	0.0490039
Ceyhan	0.0488494
Taiyuan	0.0488478
Bellingham	0.0487749
Antalya	0.0487512
Gisenyi	0.0487078
Brasil	0.0485093
Galle	0.048314
Kigoma	0.0482999
Guayaquil	0.0482936
Zhangzhou	0.0481871
Urosevac	0.0481713
Avila	0.0474566
siecle	0.0474466
Auxerre	0.0473888
Strasbourg	0.0471695
Acapulco	0.0469183
"Credit Agricole"	0.0468395
"hair spray"	0.0466725
Camden	0.0465889
"Anne-Gaelle Sidot"	0.0465092
Toulouse	0.0463188
Sochi	0.0460708
Leskovac	0.0460359
"Nathalie Dechy"	0.0459614
Rockland	0.0457859
Catania	0.0457599
Baku	0.0457311
"New Haven"	0.0456351
Eilat	0.0456319
Beihai	0.045615
"La Salle"	0.0453974
Ashkelon	0.0453236
Saint-Denis	0.0452923
Lhokseumawe	0.0449027
Windham	0.0444467
Palembang	0.0443894
Beersheba	0.0442609
monde	0.0442458
"Le Mans"	0.043785
Metz	0.0437554
Dandong	0.0436998
Ellsworth	0.0436856
Bukavu	0.0436722
Manado	0.0433957
"Arnaud Clement"	0.0432758
"Olympique Marseille"	0.0431792
"END ITAL"	0.0429461
Corsica	0.0427224
Lianyungang	0.0426113
"Jerome Golmard"	0.0425074
Babylon	0.0422293
Rostock	0.0421413
Langkawi	0.042013
"Hudson Valley"	0.0419792
"Santa Maria"	0.0419702
Novosibirsk	0.0419637
Bari	0.041884
"Alexandra Fusai"	0.0417834
Dresden	0.0417429
Balzac	0.0416877
Nabatiyeh	0.0412587
Guadalajara	0.0412005
"Surat Thani"	0.0411887
Caguan	0.0411743
"Port Elizabeth"	0.0411067
Midi	0.0410999
Vukovar	0.0410474
Santander	0.0409498
"New London"	0.0407306
Pittsfield	0.0406355
Qinhuangdao	0.0405371
Nogales	0.0404158
Tapachula	0.0402326
"San Marcos"	0.04008
))
(calamari (desc 2190.57) (sims
squid	0.175315
cutlet	0.166914
clam	0.132643
"red snapper"	0.130755
sashimi	0.125284
crab	0.122126
mussel	0.120046
shrimp	0.118552
oyster	0.115164
tofu	0.112334
grouper	0.111089
"spring roll"	0.11041
prawn	0.108054
monkfish	0.105071
lobster	0.103599
seafood	0.10307
plantain	0.101895
sausage	0.100749
okra	0.100626
eel	0.0993712
"hard-boiled egg"	0.0993626
tuna	0.0977117
octopus	0.0972421
filet	0.0970825
"smoked salmon"	0.0967632
scallop	0.0966298
mushroom	0.0960594
conch	0.095921
taco	0.0953014
leek	0.0950176
asparagus	0.0936629
radicchio	0.0917679
"Caesar salad"	0.0909799
"goat cheese"	0.090607
scallion	0.0892534
quail	0.0891381
eggplant	0.0891177
"chicken wing"	0.0888334
veggie	0.0880159
"beef tenderloin"	0.0878507
veal	0.0871463
Chickpea	0.0868223
steak	0.0863573
frisee	0.0857805
chorizo	0.0850989
Catfish	0.0849523
pork	0.0847275
spinach	0.0847154
tenderloin	0.0831681
crawfish	0.0826382
"rack of lamb"	0.0823242
"short ribs"	0.0822286
arugula	0.0819049
persimmon	0.0809035
"red onion"	0.0799323
shellfish	0.0793266
halibut	0.079162
ham	0.0781254
artichoke	0.0768641
cucumber	0.0767697
Endive	0.0767511
"green onion"	0.0764491
carrot	0.0760608
lettuce	0.0757938
croutons	0.075591
crayfish	0.0747831
venison	0.0745743
anchovy	0.0745431
mesclun	0.0732702
Broccoli	0.0730154
pineapple	0.0727642
"filet mignon"	0.0723723
"chicken breast"	0.072228
tortellini	0.0721119
sushi	0.0719916
mozzarella	0.0718058
morel	0.0714189
"black-eyed pea"	0.0713836
chanterelle	0.0711668
pasta	0.0710832
meatball	0.0708474
"chicken sandwich"	0.0705754
bratwurst	0.070449
hazelnut	0.0704022
zucchini	0.0703253
papaya	0.0702091
"bean sprout"	0.0701207
mango	0.0696544
"chili pepper"	0.0691317
risotto	0.0690474
celery	0.0689594
melon	0.0686662
Garlic	0.0682683
cantaloupe	0.0677708
fajitas	0.0676847
fennel	0.067592
enchilada	0.0671796
nacho	0.0671155
meatloaf	0.0668043
Loin	0.0666457
swordfish	0.0665522
rind	0.0665071
yolk	0.0658489
polenta	0.0656767
dumpling	0.0656766
"cut of meat"	0.0656197
lamb	0.065235
TOMATOES	0.0650531
noodle	0.0647159
"chicken salad"	0.0646299
Starfish	0.0645273
"water chestnut"	0.063763
ricotta	0.0635371
apricot	0.0634701
nectarine	0.0631304
POTATOES	0.0626229
seaweed	0.0622703
"green bean"	0.0620051
"pine nut"	0.0618919
watermelon	0.0615206
quesadillas	0.0614896
Yucca	0.0614293
kebab	0.0609397
rutabaga	0.0609293
"sea bass"	0.0608605
cabbage	0.0604661
"black bean"	0.0603862
radish	0.0603524
"french fries"	0.0603338
slaw	0.0601201
"iceberg lettuce"	0.0598713
Jellyfish	0.0589092
"French toast"	0.0589053
shallot	0.0586048
lentil	0.0583412
"cream cheese"	0.0582985
Sirloin	0.0579419
burgers	0.0576314
"sea urchin"	0.057269
"sweet pea"	0.0572507
Jell-O	0.057154
"potato salad"	0.0571163
tomatillo	0.0569086
"cream puff"	0.0569012
snapper	0.0566766
"fish fillet"	0.0563297
RHUBARB	0.0562604
"pork tenderloin"	0.0559275
snail	0.0558951
kelp	0.055804
"grated cheese"	0.0556886
"egg white"	0.0556474
cornbread	0.0555371
sardine	0.0553783
tortilla	0.0547671
hummus	0.0546917
cranberry	0.0546878
Margarita	0.0545889
gelatin	0.0545573
Twinkies	0.0541173
Collard	0.0540809
Haddock	0.0540802
beet	0.0540336
spud	0.0539216
cilantro	0.0531419
"sour cream"	0.053087
"red pepper"	0.0528472
parsley	0.0526978
Tamale	0.0524226
"bell pepper"	0.0521649
"scrambled egg"	0.0515772
burger	0.051508
"coconut milk"	0.0514918
pear	0.0512393
"peanut butter"	0.05123
fillet	0.0512104
scone	0.0511979
"foie gras"	0.0510985
omelette	0.0510859
chive	0.0509619
crustacean	0.0508469
doughnut	0.0505886
"sweet potato"	0.0504383
"chocolate mousse"	0.050288
"roast beef"	0.0500142
confit	0.049928
"bok choy"	0.0498439
Souffle	0.0497864
"brussels sprout"	0.0496049
molasses	0.0495736
"harbor seal"	0.0494152
walnut	0.0493868
"bamboo shoot"	0.049349
appetizer	0.0491162
"raw meat"	0.0489538
"egg yolk"	0.0486933
marmalade	0.0485585
"black olive"	0.0485151
mustard	0.0484927
"salad dressing"	0.048277
))
(calamity (desc 15541) (sims
catastrophe	0.198177
famine	0.193382
disaster	0.188692
flood	0.148287
drought	0.145486
"flash flood"	0.137304
crises	0.135545
epidemic	0.133291
starvation	0.132575
Typhoon	0.130782
"forest fire"	0.130386
tragedy	0.127641
"crop failure"	0.126366
earthquake	0.125489
landslide	0.125165
turbulence	0.12487
meltdown	0.123818
upheaval	0.122199
hardship	0.1215
turmoil	0.120907
instability	0.120731
devastation	0.119111
mudslide	0.118751
"power failure"	0.118741
mishap	0.117497
desertification	0.116511
downturn	0.115868
recession	0.114275
pandemic	0.114252
trauma	0.112606
"economic crisis"	0.112381
slowdown	0.111339
unrest	0.110778
degradation	0.109569
outbreak	0.108456
disruption	0.107371
"heat wave"	0.107245
shortage	0.106123
crisis	0.103983
spill	0.103958
chaos	0.103306
snowstorm	0.103102
blackout	0.102913
disturbance	0.102624
"acid rain"	0.102178
outages	0.101611
flooding	0.100418
collapse	0.0994303
accident	0.0992692
Quake	0.0992586
"volcanic eruption"	0.099171
cyclone	0.098975
adversity	0.0988967
contagion	0.0979929
plague	0.0969879
cataclysm	0.0964718
devaluation	0.0956044
strife	0.0951672
"cold spell"	0.0943872
carnage	0.0943664
bloodshed	0.0942608
erosion	0.0940628
eruption	0.0939609
deforestation	0.0937656
rainstorm	0.0934454
tremor	0.0929668
storm	0.0926992
deterioration	0.0921564
disease	0.0921481
emergency	0.092123
stagnation	0.0916282
conflict	0.0915848
"tidal wave"	0.0913601
conflagration	0.0909922
crunch	0.090566
hunger	0.09012
glitch	0.0898446
malnutrition	0.0890094
shutdown	0.0889655
scourge	0.0887064
outage	0.0884233
destruction	0.0882167
misfortune	0.0881142
"bank failure"	0.0879981
woe	0.0875634
slump	0.087524
meltdowns	0.0872399
tornado	0.0871136
violence	0.08707
poverty	0.0869072
"food poisoning"	0.0868502
"plant disease"	0.0866134
"Hurricane Mitch"	0.0862622
breakdown	0.0858708
illness	0.0858049
poisoning	0.0857072
hyperinflation	0.0855881
"dust storm"	0.0854483
paralysis	0.085386
riot	0.0853581
hailstorm	0.0852991
"human activity"	0.0852115
suffering	0.0845571
foul-up	0.0844665
difficulty	0.0841108
downturns	0.0837779
"soil erosion"	0.0837757
misery	0.0837584
sandstorm	0.0833141
wildfire	0.0832265
contamination	0.0831482
disintegration	0.083145
injustice	0.0831372
tsunami	0.0831092
"bad weather"	0.0830796
explosion	0.0830547
deluge	0.0828985
downpour	0.0828901
trouble	0.0828157
hurricane	0.0826265
hazard	0.0825907
"El Nino"	0.0824954
blaze	0.0820222
consequence	0.0815793
pollution	0.0812306
deprivation	0.0802141
phenomenon	0.0799722
"cold weather"	0.0799038
cholera	0.0794831
insecurity	0.0793919
debacle	0.0793685
"arms race"	0.0793308
insolvency	0.079177
bloodbath	0.0790491
clash	0.0790081
scandal	0.0789487
fallout	0.0789405
incident	0.0788239
complication	0.078684
infestation	0.0786623
aftershock	0.0783789
glut	0.0781794
scarcity	0.0781781
humiliation	0.0780889
"air pollution"	0.0777643
shock	0.07751
Depression	0.0774913
"health problem"	0.0774602
escalation	0.0771727
"civil war"	0.0771237
setback	0.0771216
rioting	0.0770037
anarchy	0.0768462
ravages	0.0767575
"financial loss"	0.0766423
"water pollution"	0.0766324
malaria	0.0763422
Haze	0.0759711
flu	0.0758646
nightmare	0.0758134
contraction	0.0754589
"price increase"	0.0751386
embarrassment	0.0750837
rollovers	0.0750475
"heart attack"	0.074976
harm	0.0748133
malfunction	0.074807
shortfall	0.0747113
pest	0.0746842
uncertainty	0.0746398
volatility	0.0745761
fluctuation	0.0744977
deflation	0.0740944
"traffic jam"	0.0740118
diarrhea	0.0738846
"dengue fever"	0.0738345
congestion	0.0737751
confrontation	0.0737387
spell	0.0736504
sell-off	0.0733395
infection	0.0729826
confusion	0.0729126
"close call"	0.0729055
shakeout	0.0728111
Mitch	0.0726412
underdevelopment	0.0724827
breakup	0.0724253
Distress	0.0723584
temblor	0.0721479
Collision	0.0721362
failure	0.0720623
extinction	0.0719815
monsoon	0.0717197
recurrence	0.0716042
invasion	0.0715467
"cash crunch"	0.0714486
"bear market"	0.0713377
snafu	0.0711907
disorder	0.0711791
"infectious disease"	0.0711602
))
(Calcavecchia (desc 1467.68) (sims
Morceli	0.174775
Gogel	0.171758
Cink	0.163161
Olazabal	0.127873
Andrade	0.12751
Rosales	0.126793
Langham	0.124755
Inkster	0.124502
Inman	0.121259
Quigley	0.119718
Stricker	0.11888
Kuehne	0.114189
Appleby	0.113747
Dougherty	0.113008
Solis	0.112786
Hoch	0.112077
Cowan	0.110366
Woodforde	0.109923
Schmid	0.10981
Azinger	0.108454
Sheehan	0.107914
Schmitt	0.106799
Fuhrman	0.106735
Stadler	0.106603
Mallon	0.104471
"Jeff Hornacek"	0.103208
Kuchar	0.102576
Mayfair	0.102343
Scelzi	0.102304
estes	0.101897
Longo	0.101761
Andreychuk	0.0992899
Dokmanovic	0.0988535
Blanco	0.0986304
Fleischer	0.097647
Rahal	0.0975469
Heinrichs	0.0972189
Okada	0.0962738
Janzen	0.0959091
Guerra	0.0957602
Philippoussis	0.0956161
Colbert	0.0954821
Furyk	0.0948154
Khannouchi	0.0945564
"administration official"	0.0939971
Triplett	0.0939243
Valenti	0.0933426
Chuasiriporn	0.0930092
Atler	0.0925389
Majoli	0.0922849
Weisman	0.092102
Mandella	0.0918222
Passarella	0.0907735
beamer	0.0907368
Sorenstam	0.0907237
Biffle	0.0906329
Parnevik	0.0906039
Braswell	0.0899795
Ebersol	0.089589
Hornaday	0.0889885
Stephenson	0.08861
"Dana Quigley"	0.0883934
Finkel	0.0882821
Tomey	0.0882006
Bodine	0.088009
Najera	0.087697
Fleisher	0.0875595
Langston	0.0871159
Hyman	0.0867994
Moog	0.0865082
Zuckerman	0.086478
Kane	0.0858745
Tanui	0.0858104
"Se Ri Pak"	0.0856802
Kenseth	0.0853799
Copeland	0.0849502
Herta	0.0835981
Durant	0.0834667
Cota	0.0833584
Paxon	0.0831102
Loretta	0.0828917
"hole in the ground"	0.082339
Poole	0.0821372
Sahadi	0.0819409
Krayzelburg	0.0819113
Crenshaw	0.0816907
Krajicek	0.0811915
Hybl	0.0811341
Laudrup	0.081092
Mendez	0.0809287
Brack	0.080743
Zito	0.0806968
Clothier	0.0804207
Herron	0.0804184
Lacey	0.0803271
Ainge	0.0801058
McGuire	0.0800831
Hartsburg	0.0800653
Konstantinov	0.0799949
Hendrickson	0.0796237
Holdsclaw	0.0795542
Ganassi	0.0794968
Meissner	0.079316
Menard	0.0792213
Gossage	0.0787836
Garces	0.0787733
Parris	0.0787648
O'Meara	0.0787013
Nadler	0.0786453
Mickelson	0.0786236
Karlsson	0.0784716
Lehman	0.0782085
Tocchet	0.0780953
McGinnis	0.0780852
Briscoe	0.077805
Moakley	0.0777818
Driscoll	0.0776228
Gullikson	0.0775432
McCarron	0.0772609
Ertl	0.0769107
Biggio	0.076776
Gillom	0.0764436
Gauthier	0.0762146
McCown	0.076123
Makinen	0.0758045
Sutton	0.0757217
Ozaki	0.0753727
Wald	0.075239
Davies	0.0751689
Adkins	0.0749232
Piot	0.0747754
Andretti	0.0747281
Leyritz	0.0742083
"Fred Couples"	0.0741287
Bergeron	0.0741057
Nailon	0.0739949
McKnight	0.0738467
Ligtenberg	0.0737982
"Earnhardt Jr."	0.0737314
Faldo	0.0736318
Prewitt	0.0736246
"Laura Davies"	0.0736077
Gambill	0.0735513
Spurrier	0.0735443
rudd	0.0735129
Lowery	0.0734904
Unser	0.0734141
Samuelson	0.0733427
Shays	0.0733157
Kaye	0.0730962
Spirlea	0.0730815
Borbon	0.0729825
Proctor	0.072959
Irwin	0.0729519
Sapp	0.0728842
Lucic	0.0728644
Bratton	0.0727624
Norstrom	0.0726791
Donnan	0.0726782
Cedeno	0.0726609
Romanowski	0.0725905
Newcombe	0.0725749
Dixon	0.0725637
Insulza	0.0725353
Sykes	0.072524
Coffey	0.0723899
Huston	0.072364
DiPietro	0.0723602
Ochoa	0.0723272
Lawrie	0.0722764
Henley	0.0721621
Kenyon	0.071909
Outzen	0.0718766
Canty	0.0717264
Holtz	0.0715337
Yarnall	0.0713904
Clements	0.0711007
Whalen	0.0710503
Barros	0.0709931
Leiter	0.0707272
Saberhagen	0.0706006
Sather	0.0705257
Molinari	0.0705081
Chmura	0.0704975
Jacquet	0.0701966
Duffy	0.0701954
Solich	0.0701487
"La Russa"	0.0699761
"Van de Velde"	0.0697355
Munson	0.0695737
Franz	0.0694575
Weiner	0.0694524
Anton	0.0694162
Pak	0.0693592
McGregor	0.0693493
Brandt	0.0693457
Croshere	0.0692555
Ratliff	0.0691993
Calvary	0.0691409
Rubenstein	0.069089
))
(Calcium (desc 14284.7) (sims
"folic acid"	0.292803
"vitamin A"	0.28305
potassium	0.278396
"vitamin C"	0.24237
"vitamin E"	0.237516
sodium	0.235469
iodine	0.226012
folate	0.204157
magnesium	0.197969
nutrient	0.193653
phosphorus	0.190497
"B vitamin"	0.186383
antioxidant	0.179521
nitrogen	0.177762
vitamin	0.174685
protein	0.168766
"vitamin D"	0.168471
Zinc	0.164711
carbohydrate	0.164509
"fatty acid"	0.158017
selenium	0.156937
carotene	0.156458
fiber	0.142039
sulfur	0.133967
lycopene	0.131539
calory	0.131122
estrogen	0.129973
caffeine	0.127671
iron	0.127628
chlorine	0.125938
carbon	0.122647
fat	0.120668
oxygen	0.119925
creatine	0.119706
fluoride	0.118863
cholesterol	0.117696
calorie	0.114809
glucose	0.114081
starch	0.113984
mineral	0.106351
"amino acid"	0.0984047
insulin	0.095593
arsenic	0.0951196
alcohol	0.094585
hormone	0.0918587
moisture	0.0903199
soy	0.0887766
Sulphur	0.0882816
cyanide	0.0877274
nicotine	0.08619
leptin	0.0860134
manganese	0.0857706
chloride	0.085337
enzyme	0.0842689
"carbon dioxide"	0.08222
sugar	0.0809798
"animal fat"	0.0808077
nitrate	0.0802109
acid	0.0802008
testosterone	0.0789122
intake	0.0788474
melatonin	0.078212
Boron	0.0767493
nutrition	0.076567
salt	0.0754663
"carbon monoxide"	0.0752824
POTASH	0.0752598
aspirin	0.0751146
"fish oil"	0.0750948
Copper	0.0737078
ephedrine	0.0735721
silicon	0.0724157
phosphate	0.0719312
urea	0.0716137
radioactivity	0.0709003
contaminant	0.0704975
impurity	0.0694525
electrolyte	0.0692714
"elbow room"	0.0690201
benzene	0.0689923
tritium	0.0682902
capsaicin	0.0680393
hydrogen	0.0680236
dioxin	0.0677832
chromium	0.0670272
mercury	0.0668571
Radon	0.0664113
ephedra	0.0661201
fertilizer	0.0657869
oomph	0.0656698
supplement	0.0656394
fluid	0.0652253
energy	0.0651935
"growth hormone"	0.065087
antibody	0.0647345
isotope	0.0644425
uranium	0.0639441
MTBE	0.0635512
chemical	0.0628815
silica	0.0620014
cartilage	0.0618953
hGH	0.0618915
sulfate	0.0618055
cobalt	0.0614588
"green tea"	0.061284
"organic compound"	0.0612111
"water vapor"	0.0610675
homocysteine	0.0608869
substance	0.0602271
cellulose	0.0602042
microorganism	0.0597923
toxin	0.059775
lithium	0.0596226
milk	0.0595782
aluminum	0.059041
medication	0.058937
pill	0.0589143
tar	0.0588172
collagen	0.058728
CO@	0.0578672
pesticide	0.057797
"nitric oxide"	0.0576193
ozone	0.0575855
PCBs	0.0575634
herb	0.0574831
"electrical power"	0.0568795
metal	0.0567402
legroom	0.0565926
salinity	0.0565003
plutonium	0.0563084
liquidity	0.0558535
bandwidth	0.0556246
"foot traffic"	0.0554692
"dairy product"	0.0551283
"storage space"	0.0551026
asbestos	0.0548928
residue	0.0546025
ventilation	0.0543887
andro	0.0543419
horsepower	0.05424
Coal	0.0540226
meat	0.0537131
nourishment	0.0534046
ammonia	0.0532492
androstenedione	0.0531688
cadmium	0.0530923
morphine	0.0529283
traction	0.0528252
hydrocarbon	0.0527035
painkiller	0.0525543
serotonin	0.0520662
methane	0.0520596
radiation	0.0519802
bacteria	0.0518032
ingredient	0.0517443
helium	0.0515679
carcinogen	0.0509141
LDL	0.050769
"free radical"	0.0507341
dopamine	0.050587
stimulation	0.0501679
ion	0.0500201
"working capital"	0.049595
pollutant	0.0492433
"ultraviolet light"	0.0492369
steroid	0.049143
anti-inflammatory	0.0489931
"natural gas"	0.0489154
"hydrogen sulfide"	0.0487283
Endostatin	0.048693
brine	0.0485131
"breathing room"	0.0484666
"leisure time"	0.048462
clot	0.0483086
headroom	0.0482513
Manpower	0.0482359
FOREX	0.0482356
raloxifene	0.0482165
cryptosporidium	0.0481362
spunk	0.0478394
soot	0.0477423
nevirapine	0.0477227
AZT	0.0475011
antihistamine	0.0474948
sedative	0.047106
Nickel	0.0470525
interferon	0.0470353
tannin	0.0469484
tamoxifen	0.046858
laxative	0.0468435
CFCs	0.0467886
PCB	0.0467299
Vaccine	0.0466635
"nitrogen oxide"	0.046628
antibiotic	0.0466255
acetaminophen	0.0464589
"low-fat diet"	0.0463684
"time off"	0.0462585
HDL	0.0461002
yeast	0.0458106
))
(calculation (desc 34778.4) (sims
analysis	0.124828
projection	0.116093
equation	0.114609
estimate	0.110955
assessment	0.109089
prediction	0.104295
measurement	0.10264
assumption	0.0943403
data	0.0891243
computation	0.087877
statistic	0.0849078
Formula	0.0835805
forecast	0.0824248
study	0.0810037
evaluation	0.0805364
survey	0.0791899
analyses	0.0791659
judgment	0.0789314
calculus	0.0782686
observation	0.077844
strategy	0.0768735
reasoning	0.0746228
interpretation	0.0741136
finding	0.0737158
logic	0.0734618
appraisal	0.0726435
simulation	0.071653
perception	0.0698619
methodology	0.0696662
adjustment	0.0694837
theory	0.0694451
consideration	0.0684817
census	0.068371
arithmetic	0.068033
method	0.0678696
thinking	0.0677975
conclusion	0.0677962
figure	0.0674713
assertion	0.0671139
procedure	0.0668637
criteria	0.0668155
outlook	0.0666844
estimation	0.0666284
definition	0.0662175
examination	0.0662122
decision	0.0658248
valuation	0.0652752
comparison	0.0648742
recommendation	0.0647916
argument	0.0644992
tally	0.0642157
concept	0.0640344
experiment	0.0640258
instruction	0.0636784
guideline	0.0635424
"head count"	0.0634193
opinion	0.0629023
research	0.0623641
description	0.0620855
audit	0.0612764
idea	0.061214
policy	0.0606172
tabulation	0.060343
poll	0.0601267
understanding	0.0598829
"game plan"	0.0598783
revision	0.0595934
philosophy	0.0595052
suggestion	0.0593775
technique	0.058851
fact	0.0587964
expectation	0.0586414
rationale	0.0586121
explanation	0.0583689
parameter	0.0583519
algorithm	0.0583227
information	0.0582881
indicator	0.0575705
requirement	0.0572887
manipulation	0.057239
diagnosis	0.0570448
determination	0.0569162
proposal	0.0565092
planning	0.0562446
payment	0.0561192
pricing	0.0560843
presumption	0.0559787
pattern	0.0558621
accounting	0.0558576
code	0.0558145
scenario	0.0557201
"common sense"	0.0555906
sampling	0.0555698
tactic	0.0555474
budget	0.0553955
belief	0.0551251
"computer program"	0.0551184
"rule of thumb"	0.0550478
statement	0.0549447
vision	0.0549234
reality	0.054892
model	0.0548565
agenda	0.054818
regulation	0.0547593
evidence	0.054716
transaction	0.0546184
testing	0.0543046
math	0.0542248
principle	0.0541009
amount	0.0537639
behavior	0.0537041
document	0.0536983
standard	0.0536558
ranking	0.0533301
pronouncement	0.0533076
timetable	0.0532621
detail	0.053097
"financial statement"	0.0530716
ability	0.0527866
reduction	0.0527486
map	0.052726
characterization	0.0525153
wording	0.052484
circumstance	0.0524681
arrangement	0.0523887
picture	0.052235
"decision making"	0.0521307
selection	0.0520114
classification	0.0519726
"business plan"	0.0519448
proposition	0.0519374
discussion	0.0518597
application	0.0517658
thought	0.0516491
ideology	0.0515671
response	0.0513946
curriculum	0.0513935
preference	0.0512896
modeling	0.0512383
sense	0.0511246
guess	0.0508991
tradeoff	0.05079
allocation	0.0507851
speculation	0.0507811
account	0.0505359
"bottom line"	0.0504256
task	0.0503673
notion	0.0501722
rating	0.0501611
timing	0.0501531
structure	0.0501499
knowledge	0.0500103
factor	0.0499822
reporting	0.0498111
perspective	0.0497108
balance	0.0495446
allegation	0.0493692
disclosure	0.0493306
attitude	0.0492882
investigation	0.0492769
sequence	0.0492462
warning	0.0492258
reading	0.0492228
identification	0.0492225
skill	0.0491801
motivation	0.0491698
mathematics	0.0491514
profile	0.0491483
certainty	0.0488766
composition	0.0488032
translation	0.0486878
outcome	0.0486502
politics	0.0486222
provision	0.0485983
advice	0.0484885
premise	0.0484771
combination	0.0484132
accusation	0.0483546
deduction	0.0483247
documentation	0.0481612
compromise	0.0480984
ruling	0.0480743
blueprint	0.0479944
announcement	0.0479333
"weather forecast"	0.0479063
strength	0.0478803
mechanism	0.0478579
counting	0.047798
generalization	0.0477979
percentage	0.047683
preparation	0.0476535
optimism	0.0476508
inspection	0.0476217
choice	0.0475878
ratio	0.0475098
consensus	0.0474651
indication	0.0474586
software	0.0473777
scheme	0.0472999
wisdom	0.0472727
))
(calculator (desc 12808.6) (sims
notepad	0.112639
scanner	0.10237
"fax machine"	0.0888905
gizmo	0.0859477
"laptop computer"	0.0857308
"personal computer"	0.0851486
pagers	0.084995
device	0.0848026
"cellular phone"	0.0845872
notebook	0.0831395
"tape recorder"	0.0826049
pencil	0.0824235
printer	0.0819955
"electronic device"	0.0809182
keyboard	0.0789818
gadget	0.0777534
"greeting card"	0.0776497
worksheet	0.0771878
camera	0.0771589
laptop	0.0764515
tool	0.0762453
"CD player"	0.076144
software	0.0760623
"computer program"	0.0759308
pager	0.0756815
directory	0.0742135
map	0.0738731
workstation	0.0737727
"Palm Pilot"	0.0737638
"laser printer"	0.0734064
wristwatch	0.0732079
appliance	0.0731504
VCR	0.0727006
modem	0.0725576
"cellular telephone"	0.0722205
recorder	0.0705909
machine	0.0705844
PC	0.0701907
"television set"	0.0699245
calendar	0.0692645
binocular	0.0683367
"alarm clock"	0.0681806
pad	0.0676339
"test equipment"	0.0673332
database	0.0662206
spreadsheet	0.0656339
CD-ROM	0.0655854
horoscope	0.0655076
"video game"	0.0654778
sensor	0.0653743
checkbook	0.0651429
"ballpoint pen"	0.0650453
computing	0.0648733
headset	0.0646567
camcorder	0.0645594
pen	0.0640436
microprocessor	0.0636737
"communications equipment"	0.0633127
stopwatch	0.0629933
"hearing aid"	0.0627446
eraser	0.0625635
microchip	0.0624745
router	0.0623502
"reference work"	0.0623173
beepers	0.0622733
GPS	0.0620632
Projector	0.0620333
kit	0.0618835
stapler	0.0617733
"consumer electronics"	0.0615298
copier	0.060977
"magnifying glass"	0.060916
"tv set"	0.0608384
"word processor"	0.0608312
"Palm Pilots"	0.060791
"application form"	0.06076
hardware	0.0607304
card	0.0605933
"Palm VII"	0.0596509
"desktop computer"	0.0595578
processor	0.0591481
"memory chip"	0.0588684
"bulletin board"	0.0584738
"electronic equipment"	0.0583766
microphone	0.0582462
inhaler	0.0581893
wallet	0.0581546
toy	0.057897
camcorders	0.0578782
dictionary	0.0578312
"software product"	0.0576901
"portable computer"	0.0576095
"household appliance"	0.0575652
coupon	0.057555
"fountain pen"	0.0575078
connector	0.0573399
"sewing machine"	0.0573136
filtering	0.0572353
"software package"	0.0571867
video	0.0568085
"Palm III"	0.0567503
scorecard	0.0567051
walkie-talkie	0.0566967
"computer game"	0.0565996
audio	0.0560708
glossary	0.0560388
flashlight	0.0557425
typewriter	0.0557375
saver	0.0552943
graphics	0.0551627
"table of contents"	0.054901
tutorial	0.0548056
handset	0.0547444
Robot	0.0547028
detector	0.0545221
laser	0.0544543
brochure	0.0544372
"utility program"	0.0544031
"security system"	0.0543839
manual	0.0542047
timer	0.0541137
interface	0.0540147
server	0.0540029
workbook	0.0538218
"operating system"	0.0538182
"brokerage account"	0.0535063
filter	0.0533796
vibrator	0.0531628
instrument	0.0530319
"scientific instrument"	0.0530179
button	0.0529849
gadgetry	0.052936
amplifier	0.0528298
"hand-held computer"	0.0527386
"microwave oven"	0.0525764
crayon	0.0525668
"disk drive"	0.0525522
desktop	0.0525406
"control system"	0.0525016
"charge card"	0.0523872
"word processing"	0.0523856
stamp	0.0521561
peripheral	0.0519861
"credit card"	0.0519255
paintbrush	0.0518338
iMac	0.0518326
battery	0.0518214
postage	0.0517733
bracelet	0.0517722
"musical instrument"	0.0517547
"slot machine"	0.0515666
chart	0.0514125
transmitter	0.0513252
"information service"	0.0513135
"voting machine"	0.0506794
postcard	0.0505169
stereo	0.0504931
condom	0.0504685
multimedia	0.0503469
PDA	0.0502797
"accounting system"	0.0502225
bookmark	0.050173
console	0.0501487
stationery	0.0500779
imaging	0.0499764
CD	0.049777
"sheet of paper"	0.0497292
Walkman	0.0496979
"telephone service"	0.0496887
"convenience food"	0.0495807
quiz	0.049364
"computer hardware"	0.0493421
"programming language"	0.0493221
synthesizer	0.0493197
"boarding pass"	0.0492641
microscope	0.0492628
browser	0.049261
analyzer	0.049155
thermometer	0.0489975
classifieds	0.0489615
"hand tool"	0.0489341
checklist	0.0489256
password	0.0488766
jewelry	0.0487301
textbook	0.0487158
BIOS	0.0486987
semiconductor	0.0486973
"time clock"	0.048453
checker	0.0484436
"vacuum cleaner"	0.0484287
"phone book"	0.0483094
Encyclopedia	0.0483006
toaster	0.048231
"color television"	0.0481682
photocopier	0.0480962
"tape measure"	0.0480889
"mainframe computer"	0.0480205
"surveillance system"	0.0480071
MP@s	0.0479559
thesaurus	0.0479448
))
(calculus (desc 6541.04) (sims
algebra	0.148064
mathematics	0.13051
math	0.109187
physics	0.106747
biology	0.0995002
Chemistry	0.0989972
"earth science"	0.0920713
geometry	0.0920432
arithmetic	0.0903037
civics	0.0839273
astrophysics	0.0827059
geography	0.082518
equation	0.0824904
dynamics	0.0821019
geology	0.0788323
calculation	0.0782686
psychology	0.0752547
astronomy	0.0741423
biochemistry	0.0726313
Anatomy	0.0725951
logic	0.0683194
"computer science"	0.0677807
dynamic	0.0667387
"environmental science"	0.0661304
pharmacology	0.0654758
crosscurrent	0.0653412
philosophy	0.0642911
economics	0.0638006
conundrum	0.06363
"nuclear physics"	0.0619197
"dance step"	0.061549
paradox	0.0614181
tightrope	0.0608892
"basic concept"	0.0605576
third-grade	0.0604555
sociology	0.0600943
reasoning	0.0592741
"chess game"	0.0588638
"English class"	0.0585224
catechism	0.0580748
theology	0.0577389
mythology	0.0570117
genetics	0.056556
"staying power"	0.0559672
Truism	0.0559047
exigency	0.0556616
"game plan"	0.0556421
rationale	0.0556317
"liberal arts"	0.0555496
quandary	0.0553496
second-grade	0.0550788
eighth-grade	0.0547066
physiology	0.0543086
MCAS	0.0542863
cosmology	0.0535927
"magnetic resonance imaging"	0.0534507
"physical education"	0.0533686
axiom	0.0531774
"general knowledge"	0.0530481
Etiquette	0.0527468
"waiting game"	0.0525661
sixth-grade	0.0525622
archeology	0.0523252
"New Testament"	0.0519578
prognosis	0.0519286
balancing	0.0515186
geophysics	0.051217
anthropology	0.0510922
dilemma	0.0502347
linguistics	0.0500553
"travel plan"	0.0500451
grammar	0.0500235
"shell game"	0.0499817
contour	0.0498299
engineering	0.0498149
alchemy	0.0493641
motivation	0.0492732
mind-set	0.0492635
Minuet	0.0489607
"point system"	0.0488667
"English language"	0.0488137
"mechanical engineering"	0.0487903
Botany	0.0487886
nicety	0.0484008
trickery	0.0483779
stagecraft	0.0482639
"life science"	0.0481217
neuroscience	0.0481051
evolution	0.0480197
variable	0.0480083
conception	0.0476841
"business plan"	0.0475719
"modus operandi"	0.0475716
agronomy	0.0474786
polygraph	0.0474167
analyses	0.0472763
demography	0.0470799
composition	0.0468989
pronunciation	0.0468903
"computer programming"	0.0465094
zoology	0.0464948
"biological science"	0.0463741
tableau	0.0461675
"medical science"	0.0460562
aerobics	0.0460205
"martial art"	0.0457054
nuance	0.0456817
stat	0.0454847
curriculum	0.0453983
tradeoff	0.0453758
alphabet	0.0453615
"balance of power"	0.045332
travesty	0.0452308
"state of affairs"	0.0452184
"pop quiz"	0.0450592
makeup	0.0449657
storyline	0.0449244
"chemical engineering"	0.0449038
comeuppance	0.0448606
"information science"	0.0445699
"scoring system"	0.0445019
alignment	0.0442375
charade	0.0441532
"adult education"	0.0441393
destiny	0.0440124
subterfuge	0.0439486
"tax treatment"	0.0439232
hypothesis	0.0439086
equilibrium	0.0438787
"golden rule"	0.0437942
Journalism	0.0436103
"extracurricular activity"	0.0435544
ramification	0.0434911
"theory of relativity"	0.0434589
probability	0.0432987
immaturity	0.0432923
parameter	0.0432405
"big picture"	0.0430742
"power structure"	0.0429991
"civil engineering"	0.0429051
placement	0.0428804
"voting system"	0.0428647
esthetic	0.0428156
"skin color"	0.0427792
magnetism	0.0425744
footwork	0.0424966
apparatus	0.0424629
nexus	0.0424304
sensibility	0.0423593
playbook	0.042343
ethos	0.0423415
"data entry"	0.0422598
"electoral system"	0.0421266
interplay	0.0421135
karma	0.0421069
complexity	0.0420487
realignment	0.0419679
corollary	0.0419477
"frame of mind"	0.0419245
"sixth grade"	0.0419233
hands-on	0.0418723
SAT	0.0418598
flowering	0.0417988
regimen	0.041797
poetry	0.0417659
Lexicon	0.0417053
symmetry	0.0414978
optic	0.0414935
stethoscope	0.041437
"senior high school"	0.0413865
meteorology	0.0413631
caveat	0.0412569
gradation	0.0412294
syllabus	0.0412035
"civic duty"	0.0411135
self-image	0.0410791
palliative	0.0409877
rawness	0.0409386
methodology	0.0409062
"history lesson"	0.0408502
"natural process"	0.0408443
trajectory	0.0407012
carpentry	0.0406539
imperatives	0.0405603
reckoning	0.040448
complexion	0.0404351
allure	0.0404207
setup	0.0402596
phenomena	0.0402543
"business condition"	0.0402405
folly	0.0401961
predicament	0.0401602
"molecular biology"	0.0401237
))
(Calcutta (desc 11185.3) (sims
Bangalore	0.220874
Chennai	0.220714
Hyderabad	0.216547
PATNA	0.211998
Madras	0.21067
Bombay	0.194319
Lucknow	0.189973
Delhi	0.166571
Karachi	0.159637
Mumbai	0.155945
Jaipur	0.152336
"New Delhi"	0.151452
Lahore	0.148008
Monrovia	0.128505
Srinagar	0.115995
DHAKA	0.113881
Manila	0.110824
Peshawar	0.110724
Dili	0.109199
SEOUL	0.109044
COLOMBO	0.107617
Kigali	0.107583
Port-au-Prince	0.107536
Bangkok	0.107114
Islamabad	0.106886
Minsk	0.106867
Murmansk	0.106345
Tbilisi	0.106318
CARACAS	0.10578
Asuncion	0.105603
Krakow	0.105176
Guadalajara	0.10484
Chittagong	0.104822
Accra	0.104695
"Buenos Aires"	0.104507
ZAGREB	0.104285
"Tel Aviv"	0.104255
Santiago	0.103267
Basle	0.103049
"Guatemala City"	0.103019
Havana	0.102283
Jalalabad	0.101487
"Cape Town"	0.101409
Istanbul	0.101115
BOGOTA	0.101094
Abidjan	0.100945
Lhasa	0.10061
JOHANNESBURG	0.100397
"Kuala Lumpur"	0.100282
Kabul	0.100098
Asmara	0.100085
CHENGDU	0.0992023
Manado	0.0991981
Kathmandu	0.0991124
Belfast	0.0989485
Jakarta	0.0988887
"Santo Domingo"	0.0977967
Amman	0.0976905
Honolulu	0.0973676
Tripoli	0.0973509
HANOI	0.0968828
CAIRO	0.0964613
Dublin	0.0962306
Beirut	0.0959479
Katmandu	0.0958913
"St. Petersburg"	0.0954217
Nairobi	0.0951702
Medellin	0.094694
Dushanbe	0.0945739
Cochabamba	0.0939423
TEGUCIGALPA	0.0939161
Khartoum	0.0938261
"San Juan"	0.0936614
Tashkent	0.0935513
"San Salvador"	0.0933063
Huambo	0.0932009
"Mexico City"	0.09302
BUDAPEST	0.0930017
KIEV	0.0929609
"Dar es Salaam"	0.0928072
Windhoek	0.092723
MAPUTO	0.0926763
Taipei	0.0925522
Denpasar	0.0920741
Pristina	0.0918297
Kinshasa	0.0917768
Baku	0.0912882
Quito	0.0910793
Osaka	0.0910464
Gaborone	0.0910134
DUBAI	0.0908004
Yerevan	0.0907956
Naples	0.090668
Mombasa	0.0905106
YANGON	0.0901939
MELBOURNE	0.090144
BUCHAREST	0.0900985
"Addis Ababa"	0.0900298
Winnipeg	0.0899164
Brisbane	0.089883
"Phnom Penh"	0.0897436
Amsterdam	0.0896626
Luanda	0.0896138
Tehran	0.0894616
Quetta	0.0888958
Duesseldorf	0.0887535
Vladivostok	0.08867
Vilnius	0.0884105
"Sao Paulo"	0.088354
Kunming	0.0883112
Ndola	0.0880075
"Ho Chi Minh City"	0.0879797
HARARE	0.0879028
Skopje	0.0878596
TIRANA	0.0874011
Lagos	0.087322
Vladikavkaz	0.0870524
Kandahar	0.0863587
Bujumbura	0.0863224
Chisinau	0.086287
Lima	0.0862416
LISBON	0.0862201
Hanover	0.0859793
Milan	0.0858101
Ambon	0.0855676
Gaza	0.085368
Surabaya	0.085227
Riyadh	0.0851432
Cartagena	0.0850329
Astana	0.0848919
Hamburg	0.0848764
Bamako	0.084838
Manchester	0.0844979
Jeddah	0.0844738
WARSAW	0.0841698
"CHIANG MAI"	0.0841495
Moroni	0.0838853
Vientiane	0.0838808
Tokyo	0.0838569
"Gaza City"	0.0836893
Cebu	0.083689
Maseru	0.0830583
Algiers	0.0829834
Lusaka	0.0829226
Copenhagen	0.0825917
Dakar	0.0824547
Shanghai	0.0822761
Sarajevo	0.0822127
Davao	0.0821816
Tampa	0.0818987
Doha	0.0815133
Beira	0.0814398
Tapachula	0.0814206
Greenville	0.0813884
Durban	0.0810025
Guangzhou	0.0809277
Kisumu	0.080643
Minneapolis	0.0806144
"La Paz"	0.0804825
Turin	0.0799123
Newark	0.0798782
Vienna	0.0797766
LONDON	0.079745
Abuja	0.0796796
NANJING	0.0794957
Wuhan	0.0794755
Charleston	0.0792566
Hangzhou	0.0792403
Kuito	0.079235
Birmingham	0.0792248
Rabat	0.0791294
Madrid	0.0790774
Prague	0.0787942
Mbabane	0.0787786
Lyon	0.078361
Salzburg	0.0782693
Wellington	0.0781098
Tijuana	0.0780973
Suva	0.0780863
Frankfurt	0.0780524
Taloqan	0.0777477
Urumqi	0.0775041
Rome	0.077443
Munich	0.077051
Merida	0.07705
Rochester	0.0768845
"Fort Lauderdale"	0.0768765
Ashkhabad	0.0767387
"Uttar Pradesh"	0.0766622
Goma	0.0765141
Brazzaville	0.076474
Grozny	0.0761829
CHANGCHUN	0.0761132
Auckland	0.0759025
"Rio de Janeiro"	0.0758922
Berlin	0.0756563
Aqaba	0.075639
Muscat	0.0753955
Pretoria	0.0753905
Alexandria	0.0753852
))
(Calder (desc 4397.94) (sims
Klee	0.179295
Chagall	0.157655
Rothko	0.140907
Giacometti	0.129038
Kooning	0.116087
Matisse	0.114447
Rodin	0.109475
Modigliani	0.106245
Picasso	0.104274
Dali	0.104259
"Santa Anita"	0.10369
Bonnard	0.103594
Mondrian	0.102259
miro	0.0995954
Aqueduct	0.0946267
Degas	0.0933891
Gogh	0.092455
Warhol	0.0892077
Leger	0.0885788
Gauguin	0.0843146
Hartley	0.0824511
"van Gogh"	0.0808938
Kandinsky	0.0793282
Duchamp	0.0789826
Gulfstream	0.0749134
"Gulfstream Park"	0.0727934
Lichtenstein	0.0727644
Pollock	0.0726144
"Del Mar"	0.0696225
"Jasper Johns"	0.0692393
Renoir	0.0691907
Hirst	0.0683567
"Jackson Pollock"	0.0675052
Monet	0.0665205
"Churchill Downs"	0.0654612
Kerouac	0.0648966
Ingres	0.0646335
"Hollywood Park"	0.0632333
Cezanne	0.0632016
Serra	0.0630296
Gorey	0.0608175
Saratoga	0.0592614
O'Keeffe	0.0591105
F.A	0.0564934
Kusama	0.0562078
Rauschenberg	0.0560808
Michelangelo	0.0560369
Keeneland	0.0558723
"Fair Grounds"	0.0556502
Cooke	0.0554301
Ofili	0.0535314
"Man Ray"	0.0534354
Manet	0.0533711
"quarter horse"	0.0529944
"Cuban Americans"	0.051745
"Dora Maar"	0.0516594
Wyeth	0.0512263
Wasserstein	0.0503533
Daytona	0.0501857
"Andy Warhol"	0.0490788
Sargent	0.0488354
Remington	0.0486869
"folk art"	0.0486309
"Oaklawn Park"	0.0482625
Nabokov	0.048259
Bosch	0.0480004
"Robert Rauschenberg"	0.0470411
Segal	0.0469967
Whaley	0.0469563
Stroganoff	0.0468877
Freud	0.0460705
Plath	0.0460081
Hoch	0.0459245
Neff	0.0457336
Getty	0.0454748
Kimbell	0.0453017
Rowe	0.0449724
Corcoran	0.0448557
"National Thoroughbred Racing Association"	0.0443013
Gachet	0.0442622
Plante	0.0442567
Rothschild	0.044144
Pushkin	0.0441051
Meeks	0.043835
"free form"	0.0435295
Folkman	0.0431693
Goethe	0.0428557
Maude	0.0425046
Kinkade	0.0424964
Squier	0.0423519
Adler	0.0423124
Puzo	0.0422426
Ernst	0.042044
Inglewood	0.0420219
Godot	0.0419181
Delacroix	0.0416968
"Prince of Wales"	0.0416457
Gielgud	0.0416247
"Noboru Takeshita"	0.0415812
"Sears Point"	0.0414133
"Norman Rockwell"	0.0412562
Darlington	0.0411974
Hendrix	0.041094
"Anne Frank"	0.0409848
"Roy Lichtenstein"	0.0408459
BCE	0.0407082
"Bankers Trust Corp."	0.040706
"Daily Racing Form"	0.0406424
Rosenberg	0.0406189
Guterres	0.0406115
Wiggins	0.0403831
"Home Run Derby"	0.0402673
))
(Caldera (desc 3264.58) (sims
Menem	0.151213
Siazon	0.145122
Diouf	0.139983
Glickman	0.139353
"de Charette"	0.132889
Barshefsky	0.131973
Wolfensohn	0.131274
Velayati	0.130751
Shevardnadze	0.129704
Constantinescu	0.128582
Granic	0.128522
Stoyanov	0.123767
Advani	0.123066
Rifkind	0.122777
Nazarbayev	0.122547
Luong	0.122286
Goh	0.120624
Guterres	0.120196
Ruehe	0.118972
Scalfaro	0.116931
Narayanan	0.116187
Mkapa	0.114428
Klima	0.113438
Ecevit	0.113174
Alioto	0.112825
Sergeyev	0.112019
Kinkel	0.11155
Corel	0.111137
Harris-Lewis	0.110911
Meissner	0.10948
Hybl	0.109271
Eizenstat	0.107277
Hodler	0.107219
Chretien	0.106788
Lindland	0.10652
Mandelson	0.106496
Ogata	0.106015
Moscoso	0.106011
Kwasniewski	0.105835
Symington	0.105304
McCurry	0.104762
Katzenberg	0.104038
Pastrana	0.103372
Nujoma	0.103035
Jewell	0.102926
Ikeda	0.102878
Kharrazi	0.102813
Klestil	0.102496
"Chief Executive Tung Chee-hwa"	0.102407
Frei	0.102333
Rosenblatt	0.102332
Iliescu	0.102328
Camdessus	0.102279
Weizman	0.102227
Khai	0.102023
Niyazov	0.101442
Chissano	0.100787
Cornyn	0.100419
Wahid	0.100169
Tsang	0.0999138
Daley	0.0997455
Ivanov	0.0996993
Mbeki	0.0994861
Azad	0.0994716
Zeroual	0.0991682
Kennard	0.0989875
Moussa	0.0988974
RealNetworks	0.0988063
Maslyukov	0.0982758
Karimov	0.0982664
Muluzi	0.0981135
Akayev	0.0980401
Lipponen	0.0972421
Kuchma	0.0971217
Santer	0.097107
Cem	0.0970513
Moratinos	0.0970423
Husseini	0.096988
Axworthy	0.0969528
Pickering	0.0969122
Dini	0.0967703
Grasso	0.0966446
Vollebaek	0.0966264
Hasina	0.0965318
Musharraf	0.0963728
Intergraph	0.0963704
Hauser	0.096186
"Ricardo Alarcon"	0.0961001
"De Klerk"	0.0960541
Shalala	0.0959973
Blatter	0.0958844
Surin	0.0958208
Safir	0.0955737
Aleman	0.095289
Bettman	0.0951945
Khaddam	0.0951397
Deuba	0.0947679
Bildt	0.0945505
Nemtsov	0.0944181
Solana	0.0943069
"William Cohen"	0.0941966
Lukashenko	0.0938175
Scharping	0.0937492
Caddell	0.0936912
Joklik	0.0935647
Chavalit	0.0933658
Nzo	0.092997
Cayugas	0.0928904
Belo	0.0928506
Yoo	0.0927938
Komura	0.0927585
Rakhmonov	0.0926825
Leghari	0.0925877
Prewitt	0.0924972
Hrawi	0.0924372
"Donna Shalala"	0.0922235
"De Soto"	0.0920827
Ruggiero	0.0920772
McCaffrey	0.0917428
Chirac	0.0915462
Marineau	0.0909426
Mikhailov	0.0908776
Jovanovic	0.0906432
Troussier	0.0906404
Kasoulides	0.0905845
Kok	0.0905321
Pustovoitenko	0.0904478
Meles	0.0904232
Meguid	0.0902604
Kornberg	0.0901491
Phieu	0.090105
Zeng	0.0900226
Chiluba	0.0900047
Ivester	0.0900037
Novell	0.0898994
Cardoso	0.0898426
Talbott	0.0898266
Rubin	0.0896765
Portillo	0.0892763
Fagan	0.0892588
ACLU	0.0892481
Piot	0.0890626
Orban	0.0890078
Berri	0.088785
Clerides	0.0887634
Rossello	0.0886237
Jayakumar	0.0885194
Mudge	0.0883998
Spitzer	0.0883628
Lockyer	0.0883602
Babcock	0.0882838
Erekat	0.0882657
Rossotti	0.0880817
Eappens	0.0880064
Murr	0.0879771
Sharma	0.0878269
Soyinka	0.0877876
Flanagan	0.0877783
Malan	0.0872408
Bolger	0.0872115
EEOC	0.0870052
Ciampi	0.0867443
Jia	0.0867407
Faget	0.0867091
Moi	0.0866088
Fleischer	0.0863071
Estrada	0.086291
Alarcon	0.086267
Maharaj	0.0862584
Braswell	0.0862445
AOC	0.0861852
Icahn	0.0861826
Simitis	0.086171
Aznar	0.0861382
Abubakar	0.0861017
Shareh	0.0860879
Berenson	0.0857517
Molinari	0.0856919
"Drought Relief Headquarters"	0.0855883
Azizah	0.0855684
Prodi	0.0855541
Majali	0.0855236
Gilman	0.0854816
FTC	0.0854637
Reilly	0.0854136
Conte	0.0850891
Babbitt	0.0849759
Aziz	0.0849699
Saleh	0.084948
Ahtisaari	0.084932
Waigel	0.0849161
Aventajado	0.0848261
"Anson Chan"	0.0847877
"Paula Corbin Jones"	0.0847306
"Antonio Guterres"	0.0847142
Mahuad	0.084562
Nasrallah	0.0845596
Pangalos	0.0844967
Reimer	0.0844919
"Jia Qinglin"	0.0844351
))
(Caldor (desc 1029.29) (sims
Roberds	0.199588
Penney	0.1724
Asda	0.166656
"Food Lion"	0.147528
"Rite Aid"	0.141097
Woolworth	0.137222
"Sharper Image"	0.135399
"Krispy Kreme"	0.134185
Kroger	0.132641
RJR	0.132508
"Con Ed"	0.132207
"Fred Meyer"	0.127329
"Radio Shack"	0.127195
VENATOR	0.123909
AutoNation	0.123673
"Best Buy"	0.117118
"Niagara Mohawk"	0.115782
CompUSA	0.114533
Gymboree	0.113755
"KCP&AMP;L"	0.113395
Domino's	0.113234
"Circuit City"	0.109536
"Brooks Brothers"	0.107451
"J.C. Penney"	0.107149
Walgreens	0.104432
"Barnes &AMP; Noble"	0.102462
USEC	0.102394
GPU	0.102159
ICI	0.101952
Lilco	0.101611
"Sprint PCS"	0.101206
"Times Co."	0.0992988
Williams-Sonoma	0.0992985
"Thermo Electron"	0.0992008
"Consolidated Edison"	0.0982914
Aegon	0.0981936
"Georgia Power"	0.0980677
Stroh	0.0974842
Amway	0.0972728
Publix	0.0972366
Checkfree	0.0972135
Saks	0.0964124
NiSource	0.0960709
Ahold	0.0941299
CAA	0.0939029
All-Tech	0.0938834
CVS	0.0937784
Cerent	0.0926318
Lucasfilm	0.0925805
Safeway	0.0923757
Ikea	0.092313
Alltel	0.092044
ARCO	0.0919433
"P&AMP;G"	0.0915316
Weyerhaeuser	0.0909497
Walmart	0.0906908
Wiz	0.0901034
Pacifica	0.089674
"Washington Mutual"	0.0892957
"Dayton Hudson"	0.0883348
"Toys R Us"	0.0882719
REI	0.0881168
Albertson's	0.0880358
"Home Depot"	0.0868582
SmithKline	0.0864596
ENTERGY	0.0863347
Mervyn	0.0846312
Starbucks	0.0846092
CFTC	0.0832356
Ingalls	0.0827574
Overnite	0.0826062
GANNETT	0.0808924
"Sara Lee"	0.0807239
MTA	0.0806138
Mizrahi	0.0806053
Verizon	0.0803522
"State Street"	0.078996
MCI	0.0788763
SGI	0.0785961
McKesson	0.0785394
"Boys Ranch"	0.0785117
PictureTel	0.078406
"Dow Corning"	0.0780982
timberland	0.078041
AMC	0.0775715
Kmart	0.0772531
IDT	0.0772501
IEC	0.0768338
NORTHROP	0.076564
"Stride Rite"	0.0760595
Northpoint	0.0760136
Cathay	0.0759009
"Pottery Barn"	0.0754453
TAZARA	0.0753176
Toysmart	0.0752435
Biogen	0.0750114
Cadbury	0.0749874
Nordstrom	0.0747588
Netcom	0.0744899
Glaxo	0.0744564
HP	0.0743551
Tenneco	0.0743177
Delphi	0.0742315
Hoechst	0.074189
CCE	0.0739031
Humana	0.0728373
GEC	0.0727617
CUC	0.0726357
AGL	0.0725555
BNFL	0.0723334
Warner-Lambert	0.0723177
Carrefour	0.0722338
Metreon	0.0722166
"Dresdner Bank"	0.0719819
Kinko	0.0719802
IAI	0.0719735
Sunbeam	0.0719176
Walgreen	0.0716976
ENTREMED	0.0716546
"Cox Communications"	0.071491
Enron	0.071344
"First Union"	0.0712556
MindSpring	0.0709592
Drexel	0.0709591
Sumitomo	0.0709269
Autodesk	0.0708783
Deutsche	0.0706663
Costco	0.0705372
VISTEON	0.0703196
Providian	0.0699224
Nomura	0.0697431
Barneys	0.0697361
"America West"	0.0694697
"Old Navy"	0.0694294
ALZA	0.0689325
Daimler	0.0688684
Caltrans	0.0688273
ExciteAtHome	0.068826
RNC	0.0688139
Raytheon	0.0687758
Staples	0.068707
Telekom	0.0683338
Levi's	0.0682558
BIA	0.0681859
Nikko	0.0680866
Cargill	0.0680789
RWE	0.0678267
"Phelps Dodge"	0.0675929
UBS	0.0675619
Daiwa	0.0674861
"Con Edison"	0.0673625
Livent	0.067314
HILFIGER	0.0671349
Kaiser	0.0671321
Emeryville	0.0670177
Wachovia	0.0669402
IBRA	0.0669086
Incyte	0.0668549
Federated	0.0666891
Bestfoods	0.06658
"J&AMP;J"	0.0665698
"Burger King"	0.0665185
GTE	0.0662468
Ameritech	0.0659783
"Big Blue"	0.06587
EMC	0.0658578
"Liquid Audio"	0.0656299
"FAO Schwarz"	0.0655791
Aetna	0.0654233
"Planet Hollywood"	0.0652847
Yamaichi	0.0652433
"Gap Inc."	0.0650558
Pepsico	0.0648912
"Ethiopian Airlines"	0.0648448
Gillette	0.0646759
NCR	0.0646319
Lockheed	0.0645328
Globalstar	0.0643757
Viacom	0.0642255
Loews	0.0641477
"American Home"	0.0641234
Zuckerman	0.0641101
Diageo	0.0640731
"Saks Fifth Avenue"	0.0638845
"Neiman Marcus"	0.0638519
RCN	0.0637316
"Southern Co."	0.0634766
CSX	0.0632877
"R Block"	0.0631419
Renault	0.0631142
"Southwestern Bell"	0.0629103
Sogo	0.0628032
"Waste Management"	0.0627994
esprit	0.0627746
egghead	0.062617
NatWest	0.0625592
Levi	0.0625562
JAL	0.0624972
Symantec	0.0624698
Cendant	0.062401
))
(caldron (desc 1310.7) (sims
cauldron	0.184733
menorah	0.074703
beaker	0.0693737
VAT	0.0683432
fount	0.0635656
subgenre	0.0634852
fallibility	0.0575625
ferment	0.055463
"religious movement"	0.0550753
moonscape	0.0529633
"particle accelerator"	0.0525721
bedsheets	0.0525538
scrim	0.0515322
Colosseum	0.0510389
conflagration	0.0477427
wellspring	0.0477211
"powder keg"	0.0471665
"Katarina Witt"	0.0471183
"track event"	0.0461738
fandom	0.0461196
welter	0.0459391
"coffee pot"	0.0458126
Christmases	0.044382
"foot traffic"	0.0442792
"Civil Rights Act"	0.0435172
"Deon Hemmings"	0.0433277
"brush fire"	0.0432002
TINDERBOX	0.0430366
magnificence	0.0421525
"Lin Li"	0.0420612
accepting	0.0418824
kayaker	0.0406923
flotsam	0.0405275
"Gary Hall"	0.0402252
glorification	0.0401238
"fire sale"	0.0400799
))
(Caldwell (desc 4701.47) (sims
Betts	0.0871487
Rosenthal	0.0805759
Draper	0.0800573
Puzo	0.0799075
Fairfield	0.0793943
Farber	0.0774363
Eisner	0.0773291
Chappell	0.0770323
Rosen	0.075952
Merritt	0.0753341
Wiggins	0.0744464
Hamlin	0.0735611
Morrison	0.0729891
Gonzales	0.0728431
Doyle	0.0712435
Maynard	0.0704728
Conroy	0.0703493
Ivey	0.0695023
Bidwill	0.0691104
Fulton	0.068257
Macdonald	0.0681722
Lurie	0.0681456
Kay	0.0676314
Patten	0.0673644
McDonnell	0.0670905
Grossman	0.0670035
Kurtz	0.0666213
Blackman	0.0664902
Vasquez	0.0663349
Flores	0.0661932
Seltzer	0.0656414
Morley	0.0654977
Schiff	0.0654524
Fiorina	0.0650478
Weil	0.0650077
Rosenberg	0.0646563
Middleton	0.0646358
Rutherford	0.0645944
Patterson	0.0645797
McMahon	0.0645572
Gallagher	0.0644493
Passaic	0.0644416
Harrell	0.0644122
Bronfman	0.0642705
Bloomfield	0.0641944
Newhouse	0.0641601
Plath	0.0640472
Cheever	0.0639555
Feldman	0.0631501
Mcbride	0.0629508
Hobson	0.0626845
Petersen	0.0625946
Felten	0.0625663
Schott	0.0625337
Ghosn	0.0623968
Horowitz	0.0623186
Blume	0.0622455
Stoyanov	0.0621339
Rubinstein	0.0620441
Dowd	0.0620248
jacoby	0.0617373
Berger	0.0613951
Salinger	0.0612252
Greenwald	0.0611359
Kahn	0.0609781
McDonald	0.0609697
Dickey	0.0609687
Friedman	0.0607562
Mortimer	0.0604766
Ono	0.0603238
Pryor	0.0600254
Goldin	0.0597505
Nolan	0.0596539
Schmidt	0.0596497
Sheehy	0.0595753
Boller	0.0594705
Fitzgerald	0.0594182
Sharma	0.0593867
Huang	0.0593045
Weiner	0.0592079
Rivlin	0.0591361
O'Connell	0.0590354
Powers	0.0589828
Gaffney	0.0587583
Hagen	0.0586712
Vogel	0.0586516
Stahl	0.0584504
Goodman	0.0582528
bock	0.0581183
Greenberg	0.0580815
Cleese	0.0580345
Blumenthal	0.057906
Ramsey	0.0578616
"de Charette"	0.0576618
Johnston	0.0576463
McKenzie	0.0576264
Pearce	0.0575658
Berenson	0.0575513
Jaffe	0.0575399
Goldstein	0.0574894
Mckee	0.0574461
Simpson	0.0573477
Finney	0.0572672
Huffington	0.0571469
HELLER	0.057134
pressman	0.0570658
Lindbergh	0.0569049
Pfeiffer	0.0568883
Diggs	0.0568476
Sullivan	0.0567567
McAuliffe	0.0567495
Mucha	0.056708
Briggs	0.0566342
Wolff	0.056553
Burroughs	0.0564811
Mahoney	0.0564399
Norris	0.0564181
Yates	0.0563589
Muller	0.0561097
Berman	0.0560942
Tarver	0.0560401
Tharp	0.0560067
Patel	0.0559658
Hanley	0.0559041
Rowe	0.0556872
Fay	0.0556613
Wilhelm	0.0554825
Hess	0.0554687
McKay	0.0554452
Bruton	0.0553533
Fleming	0.0552962
Watkins	0.0552076
Woolley	0.0551564
Slocum	0.0550757
Simons	0.0550012
Sheppard	0.054908
Tuttle	0.0549045
McIntyre	0.054856
Livingston	0.054853
Allende	0.0548522
Stephenson	0.0548419
Muir	0.0548229
Hadley	0.0547638
Allchin	0.0547518
Alexie	0.0547211
Williamson	0.0546796
Briscoe	0.0546238
Robson	0.0545359
Travis	0.0544429
Kirby	0.0544117
Hitchens	0.0544088
Mayer	0.0543513
Figueroa	0.0542228
Isner	0.0542004
Larson	0.0540746
Swenson	0.054
Jorgensen	0.0539724
LeRoy	0.0539206
Sobel	0.0539083
Zhao	0.0538446
Wasserstein	0.0538312
Arbour	0.0538183
Crawford	0.053791
Krugman	0.0537716
Harman	0.0537566
Biggs	0.0537536
McMillan	0.0536742
Pearson	0.0536621
Hawke	0.0535829
Clifton	0.0535076
Chatham	0.0532409
LU	0.0531808
REEVE	0.0531109
Moratinos	0.053074
Cleary	0.0530533
Adler	0.0529401
Hecht	0.0528865
Northup	0.0528503
Daniels	0.0527889
Ballmer	0.0526895
Fahey	0.0526589
Fabius	0.052626
Epstein	0.0525386
Rowan	0.0525298
Salinas	0.0525125
Hurley	0.0524335
Cepeda	0.0523364
lauder	0.052336
Somerset	0.0523346
Kern	0.0522819
Adams	0.0522794
Paterson	0.0522196
Peters	0.0521785
Monmouth	0.0520886
Gladstone	0.0519671
"Andrei Babitsky"	0.0518262
Benigni	0.0517944
DeFrantz	0.0517221
Britton	0.0517154
Garza	0.051658
))
(calendar (desc 54463.6) (sims
schedule	0.132887
map	0.102543
list	0.095919
directory	0.0873584
poster	0.0859437
chart	0.0854966
card	0.0822614
book	0.0816592
catalog	0.0813405
page	0.0809194
"greeting card"	0.0808045
clock	0.0803459
menu	0.078593
brochure	0.0771757
agenda	0.0755565
database	0.0753642
diary	0.074745
text	0.0745672
manual	0.0743461
file	0.0743455
itinerary	0.0742759
code	0.0735219
video	0.0712714
textbook	0.071128
roster	0.0708822
document	0.07051
timetable	0.0697921
software	0.0697759
date	0.0695634
calculator	0.0692645
dictionary	0.0691721
postcard	0.0690199
guide	0.0680231
site	0.0672334
program	0.0671224
notebook	0.0669028
Computer	0.0668949
Encyclopedia	0.0668182
horoscope	0.0664088
curriculum	0.0661531
newsletter	0.0657017
spreadsheet	0.0652496
history	0.0650617
picture	0.0645733
box	0.0631428
scheduling	0.0629153
photo	0.0625765
AD	0.0625403
stationery	0.0624403
docket	0.0623605
photograph	0.0621751
listing	0.0621559
system	0.0621409
"bulletin board"	0.0620726
budget	0.0618185
shelf	0.0617808
magazine	0.0614329
edition	0.0612852
T-shirt	0.0610882
pamphlet	0.060651
booklet	0.0606368
format	0.0605414
package	0.0603672
ranking	0.0599523
publication	0.0598616
guidebook	0.0591892
guideline	0.0590956
CD-ROM	0.0588924
toy	0.0588034
advertisement	0.0585625
Events	0.0581029
"business card"	0.0579739
email	0.0579342
Bible	0.0577578
strategy	0.0575054
archive	0.0574084
transcript	0.0573636
article	0.0570632
stamp	0.0569972
journal	0.0568791
version	0.0568073
paper	0.0567704
screen	0.0567528
"yellow pages"	0.0566074
drawing	0.0564657
CD	0.0563921
data	0.0561312
"newspaper clipping"	0.0560548
tape	0.0559823
profile	0.0558919
information	0.0557763
ballot	0.0555809
registry	0.0555804
tradition	0.0554109
sticker	0.0554089
rule	0.0553989
item	0.0552236
Formula	0.0552081
tool	0.0551325
recipe	0.0550406
folder	0.0549202
story	0.0548731
handbook	0.0547199
model	0.0544268
web	0.0544144
collection	0.0543792
procedure	0.0543001
registration	0.0542831
event	0.0542208
constitution	0.0541412
chat	0.0541071
marketplace	0.0540049
biography	0.0536034
videotape	0.0535471
landscape	0.0533695
festival	0.0533316
table	0.0532661
cookbook	0.0529804
criteria	0.0529733
album	0.052783
bill	0.0527504
letter	0.0526649
lineup	0.0525536
application	0.0524945
television	0.0524266
Coin	0.0523912
browser	0.0523818
material	0.05237
content	0.0523587
shopping	0.0523489
ritual	0.0522643
almanac	0.052204
news	0.0521691
Website	0.0521661
scrapbook	0.052077
tour	0.0520395
phone	0.0520194
bag	0.051745
standard	0.0517003
machine	0.0516284
certificate	0.0516231
product	0.051598
script	0.0514934
chronology	0.051461
merchandise	0.0514381
circuit	0.0513969
PC	0.0513969
language	0.0513444
structure	0.0513367
device	0.051267
cycle	0.0512516
"credit card"	0.0511236
culture	0.0509912
stats	0.0509852
billboard	0.0509749
layout	0.0508871
venue	0.0508809
wallet	0.0508658
memo	0.0508615
literature	0.0508101
camera	0.0506347
audio	0.0505154
philosophy	0.0504944
manuscript	0.0504403
TV	0.0503838
mechanism	0.0503586
pattern	0.0503498
rotation	0.0503358
sheet	0.050312
bestseller	0.0502495
scene	0.0501796
contest	0.0501018
painting	0.0500519
instruction	0.0499384
copy	0.0498744
music	0.049825
style	0.0497413
clip	0.0497276
statistic	0.0497127
correspondence	0.0496444
celebration	0.049633
preparation	0.0495987
account	0.0494915
policy	0.0494577
programming	0.0494313
auction	0.0493521
Advertising	0.049274
legislation	0.0492736
password	0.0492496
Mail	0.0490923
ticket	0.0490798
"phone number"	0.0489971
radio	0.0489649
cartoon	0.0489243
law	0.0488784
room	0.0488442
doll	0.0486923
kit	0.0486498
gear	0.0486431
charter	0.0486395
))
("calendar year" (desc 6873.81) (sims
"financial year"	0.196899
"fiscal year"	0.157673
"fiscal @@@@"	0.136343
"academic year"	0.123761
"fiscal @@@@-@@"	0.111549
"first @@ months"	0.108776
"first nine months"	0.10676
"first six months"	0.106087
"first two months"	0.100158
"first five months"	0.0997608
"school year"	0.0978522
"first four months"	0.0959652
"first seven months"	0.095876
"first three quarters"	0.0941595
"first semester"	0.0890283
semester	0.0848622
"second quarter"	0.082934
"third quarter"	0.0819417
"baseball season"	0.0818496
"First @ Months"	0.0780422
"first quarter"	0.0765596
season.	0.0761979
"presidential term"	0.0757993
"basketball season"	0.0742772
"first eight months"	0.0736682
"past nine months"	0.0725936
"first three months"	0.0725911
"football season"	0.07183
"trading session"	0.0714497
year.	0.0710028
seasons.	0.070203
ending	0.0660576
"fishing season"	0.064597
"first ten months"	0.063418
"Ryder Cups"	0.0625937
"growing season"	0.0624988
fortnight	0.0620821
postseasons	0.0618453
"rainy season"	0.0602897
years.	0.059523
"holiday season"	0.0587631
half-year	0.0576738
"city block"	0.0572249
"ice age"	0.0552665
"last quarter"	0.0550233
"next @@ years"	0.0546356
"tour of duty"	0.0545606
go-round	0.0542662
"first year"	0.0535738
"nine months"	0.0528346
"seven months"	0.0527358
homestand	0.0523913
"eighth grade"	0.0522526
"SEA Games"	0.0521443
"last three months"	0.0517761
fasting	0.0514098
"three months"	0.0512193
"working day"	0.0509136
quarter-century	0.0501919
"bear market"	0.0495003
"first month"	0.0493885
"past six months"	0.0489831
"Holy Year"	0.0488642
two-a-days	0.0486999
January-June	0.0479466
"next @@ months"	0.0478461
"second and third quarters"	0.0478009
"dry season"	0.047747
"Arab-Israeli War"	0.0475039
"Great War"	0.0469852
"seven days"	0.0469387
starts.	0.0467804
Christmases	0.0466533
Giro	0.0464352
"next four years"	0.0462632
"last four years"	0.0459655
yea	0.045825
"past three years"	0.0457336
"next two years"	0.0454154
"Consultative Group"	0.045314
runnings	0.0452125
preseason	0.0451757
"Jewish Sabbath"	0.0451399
"term of office"	0.0449962
"major league season"	0.0447935
"regulation time"	0.0446564
workday	0.0445975
"last @@ months"	0.0443215
"five months"	0.0442901
"past @@ months"	0.0442815
"Balkan Wars"	0.0442711
"Iran-Iraq War"	0.0441051
"seven years"	0.0440405
"first two quarters"	0.0438273
Ramadan	0.0435271
"past four years"	0.0434453
"next five years"	0.0433069
"National Games"	0.0430265
"British Opens"	0.0429102
"Bull Run"	0.0426024
"past five years"	0.0424542
"New York City Marathon"	0.0422803
"last nine months"	0.0421739
"business cycle"	0.0420031
second-quarter	0.0419432
"past seven years"	0.0419102
"third millennium"	0.0419059
"spring training"	0.0418503
"last five years"	0.0417414
"school day"	0.0417043
"work day"	0.0415933
AMM	0.0412693
"Copa America"	0.041242
Asiad	0.0410181
autumn	0.0408536
"past six years"	0.0406198
))
(calf (desc 22541.4) (sims
quadriceps	0.228173
"rib cage"	0.183574
hamstring	0.183497
thigh	0.170162
groin	0.169587
forearm	0.139205
ankle	0.137961
knee	0.135181
goat	0.134149
flexor	0.131477
elbow	0.131411
wrist	0.130461
sheep	0.129936
buttock	0.125726
cow	0.120609
triceps	0.120095
"achilles tendon"	0.118025
shoulder	0.117441
tendon	0.115127
muscle	0.111501
Achilles	0.105458
hip	0.10444
shin	0.104133
rib	0.103726
thumb	0.103527
abdomen	0.102274
leg	0.10149
neck	0.100284
pig	0.0974613
ligament	0.0961508
Foot	0.0948034
biceps	0.0930451
lamb	0.0913808
sternum	0.0908401
"index finger"	0.0905653
cattle	0.0882866
fetus	0.0878987
toe	0.0876628
panda	0.0874972
stomach	0.0864183
"left hand"	0.0859777
infant	0.085195
chest	0.0831502
baby	0.082429
"giant panda"	0.0809089
elephant	0.0808785
Quad	0.0799764
deer	0.0798324
pelvis	0.0789909
Embryo	0.0770982
mice	0.0766208
"right hand"	0.0764359
animal	0.0763076
fawn	0.0757726
"test-tube baby"	0.0744931
giraffe	0.074473
hog	0.0744647
pup	0.073889
monkey	0.0732436
foal	0.0732019
quadruplet	0.0722501
arm	0.0713061
sprain	0.0712242
kneecap	0.0701679
collarbone	0.069078
finger	0.0690328
concussion	0.0681906
mammal	0.0666137
orangutan	0.0666085
jaw	0.0665931
puppy	0.066393
Dolly	0.0663222
chimpanzee	0.0657662
cuff	0.065497
tendinitis	0.0653249
oxen	0.065123
triplet	0.0650063
horse	0.0646956
spine	0.0636992
torso	0.0635489
contusion	0.06329
"middle finger"	0.0632024
Livestock	0.0631726
ACL	0.0628991
rabbit	0.0627034
"ring finger"	0.0624667
chicken	0.0623542
CAT	0.0612859
whale	0.061108
offspring	0.0610822
chimp	0.0606601
soreness	0.06062
kitten	0.0601475
poultry	0.0593153
bruise	0.0590272
rat	0.0588223
fracture	0.0587618
"right whale"	0.0583579
cub	0.0583102
twin	0.0580447
cartilage	0.0579706
newborns	0.0579016
blister	0.0576226
breast	0.057278
bone	0.0572493
forehead	0.0572013
sore	0.0570619
dog	0.056886
bison	0.0568739
injury	0.0568348
herd	0.0566439
camel	0.0565207
piglet	0.0564612
"African elephant"	0.0558809
rhino	0.0558264
geese	0.0554577
Buffaloes	0.0552565
lung	0.0548825
boar	0.0548154
moose	0.0544653
tiger	0.0540868
rooster	0.0540412
"Bengal tiger"	0.053996
knuckle	0.0538234
waist	0.0536922
bull	0.0535809
turtle	0.0535712
limb	0.0533406
tibia	0.0528626
upper	0.0528043
antelope	0.0525356
heel	0.0523453
elk	0.0522759
bird	0.052247
pinkie	0.0512767
kidney	0.0508708
spasm	0.0507268
gorilla	0.0506453
"spinal cord"	0.0503304
beef	0.0502925
scalp	0.0502868
testicle	0.0500271
carcass	0.0494783
mouse	0.0494505
octuplets	0.0491866
chick	0.0489835
lion	0.0489584
liver	0.0483372
zebra	0.0481923
kangaroo	0.0481732
toddler	0.0480313
"domestic animal"	0.0479756
belly	0.0479737
cheetah	0.0476596
duck	0.047417
flu	0.0473779
donkey	0.0472508
ear	0.0472018
brain	0.0471536
tissue	0.0471275
genital	0.0470924
"milk cow"	0.0469957
"polar bear"	0.0466559
hippo	0.0465338
female	0.046414
eyelid	0.0461762
"little girl"	0.0461185
armpit	0.0460826
hernia	0.0460757
Chin	0.0459795
tusk	0.0457946
nerve	0.0456964
Tooth	0.0456572
llama	0.0455231
clone	0.0454288
lip	0.045
Pony	0.0449939
swine	0.0449867
alligator	0.0449477
retina	0.0447267
serviceman	0.0442691
ostrich	0.0441842
ovary	0.0440339
"sea turtle"	0.0439273
cheek	0.0437983
dolphin	0.0436917
skin	0.0436721
"rear end"	0.0435102
snake	0.0432895
stiffness	0.0431964
pet	0.0430124
yak	0.0430054
joint	0.0428456
skull	0.0428263
hamster	0.0426135
"foster child"	0.0424409
nose	0.0423999
throat	0.0420721
"back pain"	0.0416207
ox	0.041569
))
(Calgary (desc 23587.3) (sims
Edmonton	0.361304
Montreal	0.271735
Vancouver	0.268737
"San Jose"	0.263351
"N.Y. Islanders"	0.258016
Toronto	0.241335
ANAHEIM	0.238337
"Tampa Bay"	0.231611
Ottawa	0.229033
Nashville	0.227638
Pittsburgh	0.221796
Detroit	0.221518
"N.Y. Rangers"	0.221211
Carolina	0.217277
Phoenix	0.216595
Dallas	0.214804
Buffalo	0.214787
"St. Louis"	0.213618
Philadelphia	0.200329
Chicago	0.191261
Colorado	0.190605
Milwaukee	0.173644
Winnipeg	0.172582
"Los Angeles"	0.169203
Boston	0.168682
Baltimore	0.163583
Cincinnati	0.162572
Sacramento	0.161296
"San Diego"	0.160805
"New York Islanders"	0.160415
Portland	0.160062
"Kansas City"	0.159398
Cleveland	0.158156
"New Jersey"	0.155941
Oakland	0.152426
Seattle	0.1505
Charlotte	0.147158
Atlanta	0.14696
islander	0.145935
Orlando	0.144291
Houston	0.143945
Denver	0.143334
Florida	0.143282
"N.Y. Mets"	0.140947
"New Orleans"	0.139181
"New York Rangers"	0.139095
Minnesota	0.134891
"San Antonio"	0.134767
"Calgary Flames"	0.133029
Indianapolis	0.132124
Miami	0.131977
"San Francisco"	0.129543
"Green Bay"	0.128093
Jacksonville	0.122994
oiler	0.121136
ranger	0.120689
Arizona	0.11939
"Mighty Ducks"	0.118842
Minneapolis	0.116744
Barcelona	0.116613
"Golden State"	0.116405
"New York Mets"	0.116327
Utah	0.116051
Hartford	0.114896
"Chicago White Sox"	0.113364
Tampa	0.113148
"Chicago Cubs"	0.113053
Columbus	0.112662
Lillehammer	0.111437
Memphis	0.11137
MELBOURNE	0.109031
"Quebec City"	0.106985
"Salt Lake City"	0.10645
"New York"	0.106045
"Maple Leafs"	0.10593
MetroStars	0.105413
Canadiens	0.105013
"N.Y. Yankees"	0.104704
Louisville	0.104526
Washington	0.104466
Indiana	0.104016
Mets	0.10387
"Los Angeles Clippers"	0.103717
"Florida Panthers"	0.103531
"Montreal Canadiens"	0.102901
"Edmonton Oilers"	0.102332
"Red Wings"	0.102077
"Los Angeles Lakers"	0.101192
Syracuse	0.0997047
"Vancouver Canucks"	0.0990768
Birmingham	0.0975833
Tucson	0.0971818
devil	0.0955897
"St. Petersburg"	0.095567
"Las Vegas"	0.0950314
"Chicago Blackhawks"	0.0944086
coyote	0.0943004
"Pittsburgh Pirates"	0.0941709
"New York Jets"	0.0940148
"White Sox"	0.0939092
Osaka	0.0938096
Auckland	0.0937656
Providence	0.0937569
Canuck	0.0932597
"Long Beach"	0.0929966
Tennessee	0.0927855
Munich	0.0927855
"Los Angeles Kings"	0.0926612
panther	0.09239
Blackhawks	0.0922016
Honolulu	0.0921043
"Mexico City"	0.0917058
"New York Giants"	0.0914588
Quebec	0.0909694
"Fort Lauderdale"	0.0892587
"New York Yankees"	0.0890276
"Boston Red Sox"	0.088965
Sydney	0.0886769
"New England"	0.0885069
Richmond	0.0884703
flyer	0.0883793
Trondheim	0.0882031
"Kansas City Royals"	0.0880513
"blue jay"	0.0876452
Amsterdam	0.0871587
clipper	0.0869192
Phillies	0.0869038
"St. Louis Cardinals"	0.0868951
"Pittsburgh Penguins"	0.0866825
Nagano	0.0866219
"Carolina Hurricanes"	0.0864513
"Detroit Tigers"	0.0863601
Berlin	0.0859383
Basle	0.085571
Bremen	0.0854567
Madrid	0.0853078
Yankee	0.0852058
sabre	0.0847011
"Colorado Avalanche"	0.0845011
"Seattle Mariners"	0.0843719
"New York Knicks"	0.0841946
"Boston Bruins"	0.084004
Giants	0.0835044
Kentucky	0.0831629
Copenhagen	0.0830283
Texas	0.0830125
Norway	0.0829816
Taipei	0.0828764
"Buenos Aires"	0.0822696
Rochester	0.0822246
"Dallas Stars"	0.082101
"San Jose Sharks"	0.0819821
"Detroit Pistons"	0.0818927
Manchester	0.0818682
"Milwaukee Bucks"	0.0818554
Raleigh	0.0817875
LSU	0.0816857
Tokyo	0.0816349
bruin	0.0816158
Regina	0.0814451
"Detroit Red Wings"	0.0814143
BUDAPEST	0.081371
"Miami Fusion"	0.0813417
"Oregon State"	0.0813246
Lakers	0.0810858
cub	0.0810708
"Colorado Springs"	0.080947
"D.C. United"	0.0809166
"Oklahoma State"	0.0807269
Finland	0.080693
Istanbul	0.080561
"Golden State Warriors"	0.0802345
Albertville	0.0802195
"Los Angeles Dodgers"	0.0801079
Oklahoma	0.080011
dodger	0.0796685
Scotland	0.0795757
Auburn	0.0795413
"Montreal Expos"	0.0794687
"Florida Marlins"	0.0794527
"N.J. Nets"	0.079372
Paris	0.0790633
"Toronto Blue Jays"	0.0790025
"Philadelphia Flyers"	0.079001
Akron	0.0789644
Purdue	0.0787867
Greensboro	0.0786796
ATHENS	0.078663
Riyadh	0.0784874
Lyon	0.0782955
"Cincinnati Reds"	0.0782649
Greenville	0.0782626
"Arizona State"	0.0782162
"Washington State"	0.078187
"San Juan"	0.0781025
Celtics	0.078029
"Buffalo Sabres"	0.0778432
Stuttgart	0.0778325
Guatemala	0.0777387
Brisbane	0.0776894
))
("Calgary Flames" (desc 2483.74) (sims
"Vancouver Canucks"	0.270959
"Edmonton Oilers"	0.26607
"Dallas Burn"	0.251371
"Carolina Hurricanes"	0.241273
"Toronto Maple Leafs"	0.238579
"San Jose Sharks"	0.229855
"New York-New Jersey MetroStars"	0.229142
"Nashville Predators"	0.219147
"Washington Capitals"	0.218263
"Chicago Blackhawks"	0.215922
"Pittsburgh Penguins"	0.213682
"Boston Bruins"	0.203019
"Miami Fusion"	0.202484
"Philadelphia Flyers"	0.199643
"Buffalo Sabres"	0.197909
"Detroit Red Wings"	0.197211
"Los Angeles Kings"	0.196818
"New York Islanders"	0.195348
"Toronto Blue Jays"	0.193329
"Golden State Warriors"	0.192968
"Minnesota Twins"	0.191363
"Ottawa Senators"	0.191032
"New York Liberty"	0.187841
"Montreal Canadiens"	0.187138
"Milwaukee Brewers"	0.186704
"Phoenix Coyotes"	0.1866
"Florida Panthers"	0.183811
"Tampa Bay Lightning"	0.183486
"Philadelphia Phillies"	0.179673
"San Francisco Giants"	0.177916
"Dallas Stars"	0.176066
"Colorado Avalanche"	0.176034
"Detroit Tigers"	0.175757
"Colorado Rockies"	0.175734
"Atlanta Thrashers"	0.174876
"Kansas City Royals"	0.171658
"New York Rangers"	0.171071
"Pittsburgh Pirates"	0.170816
"Charlotte Hornets"	0.170677
"Anaheim Mighty Ducks"	0.168567
"Milwaukee Bucks"	0.166416
"Philadelphia Eagles"	0.164252
"San Diego Padres"	0.164064
"Denver Nuggets"	0.163376
"Dallas Mavericks"	0.163134
"Kansas City Chiefs"	0.162641
"CHARLOTTE STING"	0.160483
"Washington Mystics"	0.160327
"Green Bay Packers"	0.157917
"Atlanta Hawks"	0.157673
"Montreal Expos"	0.156946
MetroStars	0.154758
"Arizona Cardinals"	0.154445
"New Jersey Devils"	0.154024
"Chicago Fire"	0.153791
"Oakland Athletics"	0.153306
"Tampa Bay Devil Rays"	0.15307
"Houston Astros"	0.153007
"Portland Trail Blazers"	0.152871
"Toronto Raptors"	0.151672
"D.C. United"	0.150789
"St. Louis Cardinals"	0.149714
"Phoenix Suns"	0.149192
"Miami Heat"	0.148276
"Arizona Diamondbacks"	0.147642
"Montana State"	0.146307
"Detroit Pistons"	0.146056
"Sacramento Kings"	0.146023
"Chicago Bears"	0.145535
"Buffalo Bills"	0.143917
"New Jersey Nets"	0.143611
"New York Mets"	0.143102
"Chicago Cubs"	0.143003
"Mighty Ducks"	0.142978
"Vancouver Grizzlies"	0.140883
"Seattle SuperSonics"	0.140663
"St. Louis Blues"	0.140597
"Washington Wizards"	0.140097
"Cleveland Cavaliers"	0.139417
"Phoenix Mercury"	0.139086
"Seattle Mariners"	0.138746
"Cincinnati Reds"	0.137593
"Florida Marlins"	0.135953
"New York Giants"	0.133866
Calgary	0.133029
"Boston Celtics"	0.132802
"Los Angeles Galaxy"	0.132456
"Anaheim Angels"	0.131599
"Orlando Magic"	0.131495
"San Diego Chargers"	0.131208
"Seibu Lions"	0.131073
"Houston Rockets"	0.130876
"Los Angeles Clippers"	0.130661
"Utah Jazz"	0.130508
"Pittsburgh Steelers"	0.130041
"Baltimore Orioles"	0.129602
Canadiens	0.129277
Canuck	0.128948
"New Orleans Saints"	0.128926
"Chicago White Sox"	0.128686
"American Chanda Rubin"	0.128678
"San Antonio Spurs"	0.12861
"Cleveland Indians"	0.12759
"Indiana Pacers"	0.127482
"Texas Rangers"	0.127424
"New England Patriots"	0.127164
"Los Angeles Lakers"	0.127063
"Boston Red Sox"	0.126998
"Washington Redskins"	0.126597
"Indianapolis Colts"	0.125549
"Minnesota Timberwolves"	0.124147
Berasategui	0.123816
"Utah State"	0.123006
"Maple Leafs"	0.122587
"Seattle Seahawks"	0.121502
"Miami Dolphins"	0.12108
"Carolina Panthers"	0.120997
"Jacksonville Jaguars"	0.120214
"Baltimore Colts"	0.119341
"Tennessee Titans"	0.119158
"New York Knicks"	0.117554
Wolfpack	0.117473
"Seton Hall"	0.117369
"Phenix City"	0.116658
"Los Angeles Dodgers"	0.116111
"Atlanta Braves"	0.115506
"Denver Broncos"	0.115284
"Oklahoma State"	0.114975
"Nevada-Las Vegas"	0.114811
"Cincinnati Bengals"	0.114757
"San Francisco @@ers"	0.114424
"St. Louis Rams"	0.114109
"Fresno State"	0.113432
Edberg	0.113389
"Los Angeles Sparks"	0.112304
"Detroit Lions"	0.112282
"ATLANTA FALCONS"	0.111426
"Trail Blazers"	0.111262
Lindland	0.110922
"Fighting Irish"	0.110906
"Tampa Bay Buccaneers"	0.11038
"Dallas Cowboys"	0.109778
"Iowa State"	0.109543
Villanova	0.109367
Gonzaga	0.109178
"Mississippi State"	0.109171
"Baltimore Ravens"	0.108971
"Cleveland Browns"	0.108894
Edmonton	0.108218
"Tampa Bay"	0.107509
"Red Wings"	0.107008
"Minnesota Vikings"	0.106964
Redskin	0.106837
UNLV	0.106446
Nicol	0.10627
oiler	0.10463
Pepperdine	0.104483
"New York Jets"	0.104411
Phillies	0.103619
"Idaho State"	0.103619
"Oakland Raiders"	0.103517
marlin	0.102452
"Chicago Bulls"	0.10215
"Oregon State"	0.102145
"Louisiana Tech"	0.101946
"New York Yankees"	0.1019
Rutgers	0.101717
"Golden State"	0.101397
diamondback	0.101201
flyer	0.101044
LSU	0.100931
"Tar Heels"	0.100852
"Jackson State"	0.100491
panther	0.099973
"Texas Tech"	0.0996597
"Colorado State"	0.0995957
"blue jay"	0.0995948
Purdue	0.099084
Jansher	0.0987383
"Southwest Missouri State"	0.0987281
"Wake Forest"	0.0987174
A's	0.0984911
Mantilla	0.0983858
"Yokohama Baystars"	0.098261
Susanti	0.0979419
"devil ray"	0.0978613
"American Michael Chang"	0.0975117
Supersonics	0.0973277
"White Sox"	0.0969178
Blackhawks	0.096868
Rosenborg	0.0964485
Carolina	0.0960521
clipper	0.0959414
"New Mexico State"	0.0947775
"Green Bay"	0.0947226
"Southern Mississippi"	0.0943903
sabre	0.0942837
"Arizona State"	0.0939071
ANAHEIM	0.0937509
Testud	0.0935493
))
(Calhoun (desc 5569.18) (sims
Fassel	0.10956
Tomjanovich	0.104963
Krzyzewski	0.104273
Jarvis	0.102333
Tomey	0.102158
Neuheisel	0.099549
Keady	0.0987649
Vermeil	0.097887
Lambright	0.0967563
Campo	0.0966402
O'Brien	0.0954619
Hargrove	0.0952039
Troussier	0.094053
DiCicco	0.0939305
Holmgren	0.0932296
Pitino	0.0930415
Slocum	0.0922223
Milutinovic	0.0918793
Torre	0.0917002
Fulmer	0.0891548
Carroll	0.0890065
Harrick	0.0888115
Tobin	0.0887807
Monson	0.0885171
Calipari	0.087725
Chaney	0.0873768
Muckler	0.0867704
Holtz	0.0863382
"Jim Calhoun"	0.0862214
Gailey	0.0852594
Crenshaw	0.0852009
Reeves	0.0850299
Lavin	0.0849064
Bibby	0.084287
Eizenstat	0.084189
Spurrier	0.0841499
Bowden	0.0840923
"La Russa"	0.0839991
Schmid	0.0835041
POLK	0.0832045
Westphal	0.0831317
Summitt	0.0830226
Schrempp	0.0826436
Sykes	0.0826224
Zimmer	0.082509
Martz	0.0816491
Ftorek	0.0816222
Passarella	0.0813984
bender	0.0808743
Hendricks	0.0806897
Scioscia	0.0804189
McCarthy	0.079536
Camacho	0.0795075
Talebi	0.0793847
Showalter	0.0793363
Goldin	0.0791825
Milbury	0.0790387
Seifert	0.0789954
Parcells	0.0787991
Sahadi	0.0783427
Lasorda	0.0778859
Ditka	0.0778183
Solich	0.0774785
Sherrill	0.0770398
Donnan	0.0768945
DeBerg	0.0767597
Bowman	0.0765278
Rambis	0.0764075
Izzo	0.07635
Meissner	0.076285
Hiddink	0.076244
Dierker	0.0761624
Duquette	0.0761618
Guthridge	0.0760933
Groh	0.0757316
Colangelo	0.0756092
Hackett	0.0755917
Riley	0.0752926
Fleischer	0.0752017
Sampson	0.0749057
Romar	0.0745002
Ainge	0.0744495
"Van Gundy"	0.0743833
Wilkens	0.0743038
Coelho	0.0742532
Hauser	0.0742418
Ruff	0.0741837
Whitsitt	0.0741311
Berra	0.0740893
Maldini	0.0740757
Gibbs	0.074075
Sloan	0.0740227
Snyder	0.0739255
Piniella	0.0738357
McCurry	0.0738269
Auerbach	0.073813
Saunders	0.07379
Landry	0.0737302
Oates	0.0735964
Ponciano	0.073547
Osborne	0.0732572
Heinrichs	0.0724124
Palmer	0.0723367
Layden	0.0722102
Cusack	0.0719723
Edelstein	0.0716816
Zenga	0.071638
Coughlin	0.0713542
Mariucci	0.071335
Drexler	0.0713167
Murray	0.0712147
Kearin	0.0709544
Ozawa	0.0709297
Keenan	0.070706
Manuel	0.0706593
Popovich	0.0706518
Rongen	0.0703664
Cowher	0.0702625
Belichick	0.070224
beamer	0.0701877
Aliotti	0.0698845
Fiorina	0.0697905
Sassa	0.0697749
Hartsburg	0.0697383
Cayard	0.0696713
Waltrip	0.0696142
Mullin	0.0695428
"Chan Gailey"	0.0693946
Schuerholz	0.0691693
Leyland	0.0690042
Donahue	0.0690004
Messier	0.0689665
Lombardi	0.068731
Voskuhl	0.0687306
Devine	0.0686801
Blackman	0.0684649
Safir	0.0684136
Goodman	0.0682321
Skiles	0.0681643
Keller	0.0681316
Ganassi	0.068058
Inman	0.0680343
Eisner	0.0680103
Browne	0.0679378
Naumann	0.06792
Sims	0.0678584
Vogts	0.0677993
Russo	0.0677061
Boyd	0.0676427
Switzer	0.0676269
Neilson	0.0672637
Ribbeck	0.0672256
Gooden	0.0671943
Pfeiffer	0.0671677
Rendell	0.0671327
valentine	0.0671292
Newcombe	0.0670705
Ramirez	0.0670574
DeFrantz	0.0670197
Samuelson	0.0667102
Bennett	0.0666205
Molinari	0.0664082
Venables	0.0663398
Wannstedt	0.0663212
Rosenthal	0.0662046
Bavasi	0.0661821
Mahoney	0.0658972
Hitchcock	0.0658754
Jackson	0.0657701
"Bora Milutinovic"	0.0656641
Haskins	0.0656549
Biden	0.0653548
Olson	0.0651659
Babcock	0.0651415
Riordan	0.0651257
Antley	0.0650597
Watson	0.0649693
McKeon	0.064935
Sheehan	0.0648589
Franchione	0.064785
Prewitt	0.0647232
Allchin	0.0646865
Schottenheimer	0.0646459
Ruggiero	0.0645989
Forrest	0.0645983
Devers	0.0645777
Ferguson	0.0645083
Lockhart	0.0644294
craven	0.0644067
Davie	0.064375
Rubinstein	0.0642892
Shanahan	0.0642847
Ruehe	0.0642538
Kennard	0.0641902
Hawke	0.0641128
Gwynn	0.0641102
Falk	0.0640886
Shaffer	0.064066
Bustamante	0.0640076
Richardson	0.06398
))
(Cali (desc 5643.14) (sims
Medellin	0.290854
BOGOTA	0.173026
Guadalajara	0.156397
Vladikavkaz	0.118582
Guayaquil	0.116266
Bulawayo	0.114234
"Santo Domingo"	0.112667
Tijuana	0.108337
Cartagena	0.105834
TEGUCIGALPA	0.102848
Matamoros	0.102166
Juarez	0.102146
Port-au-Prince	0.10089
"Sao Paulo"	0.100633
Quito	0.0982583
Shiraz	0.0978927
Merida	0.0968213
Santiago	0.0949193
"La Paz"	0.0935578
Peshawar	0.0911869
"Guatemala City"	0.0896133
Casas	0.0888979
Dushanbe	0.0883602
PALERMO	0.0883271
Sapporo	0.085443
Manado	0.0852993
Izmir	0.084598
Belfast	0.0845384
Krakow	0.084474
Kandy	0.0843984
Medan	0.0843908
"San Sebastian"	0.0839997
"San Pedro Sula"	0.0839968
"Nuevo Laredo"	0.0833265
Asuncion	0.0832983
Haifa	0.083036
Makhachkala	0.0825734
Zamboanga	0.0818389
Istanbul	0.0817643
Mosul	0.0817298
Goteborg	0.0805778
Monterrey	0.0801971
Hyderabad	0.0799589
Tapachula	0.0795754
"Banja Luka"	0.0794756
Srinagar	0.0792128
cartel	0.0787067
"Buenos Aires"	0.0783685
"San Salvador"	0.0781348
CARACAS	0.0780643
Lyon	0.0779387
Podgorica	0.0778995
"Ciudad Juarez"	0.0778346
"St. Petersburg"	0.0778158
Tallinn	0.0776556
Aachen	0.0776236
Pereira	0.0768823
Mandalay	0.076637
Quetta	0.0759168
Lima	0.0755463
Acapulco	0.0755422
"Novi Sad"	0.0754471
Jalalabad	0.0745625
Heidelberg	0.0744542
Karachi	0.0744519
Urus-Martan	0.074255
Gudermes	0.0740489
Clifton	0.0739077
Chennai	0.0737276
Davao	0.0735266
Yogyakarta	0.073073
Strasbourg	0.0730582
"CHIANG MAI"	0.0728924
Basra	0.0727042
Madras	0.0726153
Sidon	0.0721245
Nablus	0.072113
Kuito	0.0720948
Mashhad	0.0719392
Durban	0.0719366
"Saratoga Springs"	0.0718707
Basle	0.0718008
"Rio de Janeiro"	0.0716223
"San Juan"	0.0715292
PATNA	0.0714781
Almaty	0.0713865
Camden	0.0713698
Turin	0.0711148
Mombasa	0.0709672
Osaka	0.0709611
Huntsville	0.0708654
Kuching	0.0708369
Lausanne	0.070798
NIS	0.0706945
Surabaya	0.0705845
Prizren	0.0705581
"San Cristobal"	0.0703477
Maseru	0.0700049
Alexandria	0.0697687
"Ho Chi Minh City"	0.0697052
Minsk	0.0695692
Algiers	0.0695598
Kandahar	0.0695172
"Port Elizabeth"	0.0694569
"Cape Town"	0.0691027
Moncton	0.069066
Vitoria	0.068986
Jeddah	0.0687592
Bilbao	0.0687246
Jayapura	0.0687037
Kisumu	0.0683498
Toulouse	0.0680228
Baotou	0.0678378
Leipzig	0.0678093
Ndola	0.0677083
ASHEVILLE	0.0677081
Abidjan	0.0675684
ZAGREB	0.067548
Dili	0.0675271
Utica	0.0674453
Vilnius	0.0673941
Huambo	0.0672409
Londonderry	0.0671693
Cebu	0.0668388
CANCUN	0.0668056
"Del Rio"	0.0664366
Kennebunkport	0.0664061
Puebla	0.0663135
Tbilisi	0.0660867
Tripoli	0.0660172
Ashkelon	0.0659445
Wenzhou	0.0658882
PEC	0.0658385
Lahore	0.0658136
Calcutta	0.0657902
Naples	0.0657063
Taipei	0.065655
"Egyptian capital"	0.0656369
BUCHAREST	0.0655647
Yerevan	0.0655428
Dublin	0.065531
Youngstown	0.0655221
Taloqan	0.0652867
"Kuala Lumpur"	0.0651175
Murmansk	0.0650295
Beirut	0.0649105
Rabat	0.0648693
Cardiff	0.0648555
Rawalpindi	0.0646672
"East Orange"	0.0646588
Milan	0.0645589
Hamburg	0.0644018
Aden	0.0642313
Brisbane	0.0641494
Kisangani	0.0640908
Saida	0.0640051
CHANGCHUN	0.0639754
Lubbock	0.0638963
Portsmouth	0.0638915
Gdansk	0.0638508
Bangui	0.0638493
"Gaza City"	0.0638355
Woodbridge	0.0637928
Tangshan	0.0636952
Marseille	0.0636682
Jaipur	0.0636628
Xuzhou	0.0634663
Baoding	0.0632705
Bangalore	0.0632511
"Mexico City"	0.0631608
Brazzaville	0.0630339
Cologne	0.0628989
Ibadan	0.0628967
Tuzla	0.062879
Bursa	0.0628788
anchorage	0.0628427
Chamonix	0.062821
Vladivostok	0.0628188
"El Paso"	0.0627771
Christchurch	0.0625073
BUDAPEST	0.0623922
Laredo	0.0623274
"Kosovska Mitrovica"	0.0621847
Brownsville	0.0620704
Cairns	0.0620478
SANAA	0.0620274
Stuttgart	0.0620092
Ramallah	0.0619566
Jericho	0.0618943
Wilmington	0.0618754
Beira	0.0618472
"Tel Aviv"	0.0618297
Kinshasa	0.061777
YANGON	0.0617286
Salzburg	0.0617124
Munich	0.0616051
MELBOURNE	0.0615039
Lubumbashi	0.0615019
Yokohama	0.0614714
Diyarbakir	0.0614405
))
(caliber (desc 16853.7) (sims
calibre	0.169501
stature	0.10573
Magnum	0.0940985
Beretta	0.0759811
pedigree	0.0678593
AK-@@	0.0671869
quality	0.0650715
carbine	0.0618593
"Smith &AMP; Wesson"	0.0591662
M-@@	0.05891
ilk	0.0583714
ability	0.0569362
skill	0.0565105
competence	0.0544568
"social status"	0.053146
temperament	0.0522609
talent	0.0512377
magnitude	0.0511059
mind-set	0.0502042
renown	0.0493707
velocity	0.048439
credential	0.0482703
intensity	0.0476494
reputation	0.0471078
prestige	0.0461385
proficiency	0.0451881
rifle	0.0449185
excellence	0.0446146
breadth	0.0444767
prowess	0.0438401
"blood type"	0.0436512
nationality	0.0433676
qualification	0.0428558
depth	0.0427613
browning	0.0426698
demeanor	0.0426354
mettle	0.0423465
accomplishment	0.0419758
yesteryear	0.0419123
craftsmanship	0.0417535
roster	0.0417132
revolver	0.0414406
integrity	0.0411357
Nineteen	0.0406982
professionalism	0.0400889
))
(calibration (desc 1302.61) (sims
balancing	0.0738167
crystallization	0.0722627
amplification	0.070092
gradation	0.0626327
"information gathering"	0.058923
"fortune cookie"	0.0588608
barbell	0.0588308
pasteurization	0.0582729
suction	0.0579413
"crazy quilt"	0.0565882
sobriety	0.056156
Acela	0.0560934
eight-week	0.0548806
Filtration	0.0547275
docking	0.0543574
playlist	0.0543035
"wind tunnel"	0.0542057
"detective work"	0.0526755
winnowing	0.0523509
SDH	0.0521525
lockdown	0.0519148
Nat	0.0515621
ultrasound	0.0513708
"five key"	0.0510368
articulation	0.0505662
filtering	0.0504452
ISO@@@@	0.0503334
"quality control"	0.0499906
forensics	0.0488927
computerization	0.0485406
"full complement"	0.0484292
THAAD	0.048186
commissioning	0.0481053
polygraph	0.0475861
"wireless telephone"	0.0474979
Repositioning	0.047465
grading	0.0463899
sterilization	0.0462758
Toxicology	0.045973
airdrop	0.0456917
tuning	0.0455531
filigree	0.0453637
draught	0.0451825
counterterrorism	0.0445222
"data processing"	0.044311
fingerprinting	0.0440595
CDMA	0.043887
two-step	0.0438666
restatement	0.0433881
Demutualization	0.0427795
accreditation	0.0427679
demobilization	0.0427346
"fire control"	0.0427111
"artificial insemination"	0.0425843
"garbage collection"	0.0422705
tailpipe	0.0421658
"more than @@@ pounds"	0.0420257
flotation	0.0419239
one-off	0.0418261
STD	0.0416044
nuclear-weapons	0.0415898
SDMI	0.0411981
percentile	0.040674
HKFA	0.0403982
insertion	0.0402652
"data communication"	0.0401265
avionics	0.0400868
))
(calibre (desc 2475.85) (sims
caliber	0.169501
Magnum	0.0974472
M@@	0.0840498
Beretta	0.0813078
AK-@@	0.0797167
carbine	0.077269
"blood type"	0.0767579
"Smith &AMP; Wesson"	0.0737712
Glock	0.064023
Wesson	0.0631354
M-@@	0.0623815
"Claudia Poll"	0.0598501
"Deon Hemmings"	0.0593781
Batten	0.0588216
"Xiong Ni"	0.0570318
"raw talent"	0.055684
Uzi	0.0551965
"Brooke Bennett"	0.0533951
browning	0.052737
"Elena Berezhnaya"	0.0524121
"Chen Lu"	0.0522726
"Fiona May"	0.0521729
"Marie-Jose Perec"	0.0513641
"social status"	0.0511762
"bag of tricks"	0.0506915
Remington	0.0504669
"Felix Savon"	0.0494114
"Wang Yifu"	0.0493182
"Oksana Baiul"	0.0490252
explosiveness	0.04899
"Moses Tanui"	0.0479194
"Maria Mutola"	0.0473374
"Li Jiajun"	0.0470117
"Martin Schmitt"	0.0464456
wattage	0.0461824
Artax	0.0459933
"Chen Hua"	0.0454719
"Hiroyasu Shimizu"	0.0453943
"Le Jingyi"	0.0452267
"Alexei Urmanov"	0.0452054
stamina	0.0451537
"Bjarte Engen Vik"	0.0450373
"Charles Austin"	0.0448544
"Year Award"	0.0448381
"Noureddine Morceli"	0.0448318
"Penny Heyns"	0.0445336
"Li Xuemei"	0.0445166
"Fatuma Roba"	0.0442199
"Svetlana Masterkova"	0.0440722
"Alexei Nemov"	0.0440074
"volleyball player"	0.0439814
mettle	0.0437787
"Amy van Dyken"	0.0430586
"first pitcher"	0.0430426
competence	0.043003
Uri	0.0429877
"Dong Jiong"	0.0429877
fallibility	0.0429167
"Liu Guoliang"	0.0428556
"Sandra Voelker"	0.0428058
Dosedel	0.0427941
acceptability	0.0427576
"Wang Junxia"	0.0427358
effervescence	0.0427172
"Fu Mingxia"	0.0425123
"two hands"	0.042415
"Jan-Ove Waldner"	0.0422836
"Tom Dolan"	0.0420313
Estimations	0.0418998
"Jubilo Iwata"	0.0418681
parsing	0.0417996
Edberg	0.0416823
fortitude	0.0416382
"Yang Yang"	0.0416074
"natural ability"	0.041587
"Sonia O'Sullivan"	0.0414137
NCEC	0.041386
"Svetlana Khorkina"	0.041236
acumen	0.0412335
"Gunda Niemann-Stirnemann"	0.0411172
renomination	0.0410013
foresight	0.0409222
Devers	0.0409131
Nacional	0.0407769
agility	0.0407096
"mind's eye"	0.040497
refusals	0.0403684
P.R.C	0.0403452
audacity	0.0403312
animus	0.0401947
handicappers	0.0401942
))
(CALIF (desc 1574.93) (sims
UNDATED	0.175424
"East Rutherford"	0.111728
Uniondale	0.111432
Hempstead	0.108097
Montclair	0.107616
"White Plains"	0.0972608
NYT@	0.084656
Northampton	0.079656
Dems	0.0777772
MARKETWATCH	0.0759318
NYT@@	0.0747375
ECON	0.0709885
"Santa Monica"	0.0693646
bethel	0.0652833
Framingham	0.0641914
Calif.	0.0624344
Williamsport	0.0618589
Middletown	0.0607682
Neb	0.0606492
"West Palm Beach"	0.0601322
N.J.	0.0596683
WHATSDOING	0.0594183
"Palo Alto"	0.0589474
Ga.	0.058217
"Santa Barbara"	0.0580157
ADV	0.0576223
Mitrovica	0.0573554
Ashkelon	0.0565116
"Kosovska Mitrovica"	0.0561326
"Gaza City"	0.0558843
Chappaqua	0.0555311
Fla.	0.0553831
"Fort Dix"	0.054861
Brookline	0.0540697
Md.	0.0536582
Tbilisi	0.0522906
Wildwood	0.051318
MINEOLA	0.0505375
Bethesda	0.0503525
Rockville	0.0497797
Starzz	0.0494153
R.I.	0.0492671
"Chen Gang"	0.0488622
Portsmouth	0.048404
"Daytona Beach"	0.0469177
Sarasota	0.0466808
"B&AMP;W"	0.0461255
Lawrenceville	0.0454103
Rusch	0.0452148
"East Hampton"	0.0450752
"New Rochelle"	0.0447127
"Ong Ewe Hock"	0.0444505
Nashua	0.0437018
Provo	0.0433809
Jericho	0.0428168
N.M.	0.0425343
"Simon Archer"	0.0420937
Va.	0.0418778
"Mike Sirotka"	0.0417282
"Xia Xuanze"	0.0413189
"San Sebastian"	0.0410572
"Jamey Wright"	0.0404369
Mich.	0.0400197
))
(Calif. (desc 26053.5) (sims
CA	0.293317
California	0.133616
UNDATED	0.110744
N.J.	0.109453
Fla.	0.107773
Conn.	0.107582
PA.	0.0977368
Va.	0.0966775
Md.	0.0962363
N.Y.	0.0934054
N.M.	0.0874654
ill.	0.0862975
Ga.	0.0836902
Mo.	0.079612
Tenn.	0.075871
mass.	0.0748535
Mich.	0.0747458
N.C.	0.0740557
"East Rutherford"	0.0724641
Colo.	0.0683523
Minn.	0.0646048
Hempstead	0.0627818
CALIF	0.0624344
LA.	0.0612173
Wis.	0.0610522
Ind.	0.0584842
Ore.	0.0581679
Ariz.	0.0574537
R.I.	0.0571272
Kan.	0.0529806
Cal.	0.0529449
Cambridge	0.0519387
Ala.	0.0513927
Montclair	0.0498321
Waltham	0.0493078
Wash.	0.0457844
Ky.	0.0456615
NYT@@	0.045397
Vt.	0.0438427
Neb	0.042918
NYT@	0.0415421
N.H.	0.0401217
))
(California (desc 166527) (sims
Florida	0.240907
Texas	0.231324
Massachusetts	0.219116
"New Jersey"	0.210291
Pennsylvania	0.20883
Michigan	0.205929
"South Carolina"	0.205754
Georgia	0.204875
Virginia	0.203002
"New York"	0.202402
Arizona	0.200102
"North Carolina"	0.199746
Missouri	0.199447
Iowa	0.198474
"New Hampshire"	0.195444
Louisiana	0.18872
Connecticut	0.185825
Oregon	0.185336
"New Mexico"	0.184124
Ohio	0.183727
Illinois	0.18301
Maine	0.181047
Arkansas	0.173932
Maryland	0.173904
"Southern California"	0.172565
Kansas	0.167913
Alabama	0.1669
Wisconsin	0.166021
Kentucky	0.165781
Mississippi	0.165067
state	0.164974
"West Virginia"	0.164926
Nevada	0.163848
Alaska	0.162911
Vermont	0.162603
Colorado	0.160838
"New England"	0.158477
Oklahoma	0.158413
"Rhode Island"	0.158181
Delaware	0.156937
"Los Angeles"	0.156585
Montana	0.156334
Washington	0.156112
Hawaii	0.153725
Minnesota	0.153545
Wyoming	0.149094
Nebraska	0.147147
"North Dakota"	0.146643
"New York City"	0.145356
Idaho	0.145328
Tennessee	0.143556
Utah	0.142557
"San Francisco"	0.142001
Indiana	0.140114
Calif.	0.133616
Midwest	0.130048
Mexico	0.128314
"United States"	0.127313
"South Dakota"	0.126386
Chicago	0.126095
Boston	0.125557
"Northern California"	0.122505
Atlanta	0.121798
Houston	0.120975
Canada	0.118003
"San Diego"	0.116022
Seattle	0.115889
Miami	0.115584
Europe	0.114477
Austin	0.114402
"Kansas City"	0.112608
Philadelphia	0.111949
China	0.108887
Australia	0.10677
region	0.106131
area	0.105747
Japan	0.105154
America	0.104659
Britain	0.104416
"New Orleans"	0.104405
"Puerto Rico"	0.104388
"Bay Area"	0.104144
Phoenix	0.103914
"Las Vegas"	0.103865
country	0.102809
Carolinas	0.10275
Denver	0.10252
LONDON	0.100986
Detroit	0.100241
France	0.10021
"San Antonio"	0.100063
Africa	0.0994367
Dallas	0.0993583
"Pacific Northwest"	0.0991128
Manhattan	0.0989081
Germany	0.0985807
Brooklyn	0.0985316
Baltimore	0.098272
city	0.0976339
"Silicon Valley"	0.0968714
"St. Louis"	0.0964117
"Hong Kong"	0.0961313
Paris	0.0954258
"New York State"	0.0953813
"North America"	0.0951374
Colombia	0.0950223
"South Florida"	0.094392
Pittsburgh	0.0943882
"South Africa"	0.0939318
"District of Columbia"	0.093799
Cuba	0.0937391
England	0.0929608
Italy	0.0926464
Asia	0.0925906
Northeast	0.0925188
Cleveland	0.0920618
Brazil	0.0908502
"Fort Worth"	0.0907905
India	0.0907802
Cincinnati	0.0907516
Ontario	0.0906589
Nashville	0.0904086
"Orange County"	0.0898646
province	0.0898156
"San Jose"	0.0898036
Albany	0.0897215
BEIJING	0.0896002
Thailand	0.0892167
Orlando	0.0888965
"Great Lakes"	0.0886409
Caribbean	0.0878995
"Long Island"	0.0876525
town	0.0876493
Columbus	0.0876359
"New Zealand"	0.0875151
nation	0.0874976
Russia	0.0872944
Tucson	0.0865376
Shanghai	0.0865232
Montreal	0.086236
"British Columbia"	0.086148
district	0.0857942
Oakland	0.0856546
Sacramento	0.085568
south	0.0854435
Kenya	0.0854319
U.S.	0.0851901
Egypt	0.0851362
Tampa	0.0848359
Israel	0.0847687
Quebec	0.0847571
Toronto	0.084719
Singapore	0.0845393
L.A	0.0843337
Indianapolis	0.084333
county	0.0842571
Ireland	0.0841643
Switzerland	0.0839288
Honduras	0.0836366
"West Coast"	0.0832299
Buffalo	0.0831965
"Washington State"	0.0830937
Memphis	0.0830076
"Saudi Arabia"	0.0823587
Syracuse	0.0822335
Milwaukee	0.0819379
Venezuela	0.0818349
Bahamas	0.0814068
Portland	0.0813041
"Mexico City"	0.081066
Chile	0.0806365
Minneapolis	0.0805945
Philippines	0.0805325
valley	0.0803059
"Latin America"	0.080209
Poland	0.0800933
Taiwan	0.0797266
Louisville	0.0796661
"Ohio Valley"	0.0794139
"The Bronx"	0.0792166
Iran	0.0791907
Turkey	0.0790929
Argentina	0.0789354
"St. Petersburg"	0.078769
west	0.0787251
Moscow	0.0785267
"South America"	0.0784019
Peru	0.0778577
suburb	0.0776089
Vietnam	0.0772537
Tokyo	0.0772214
Rockies	0.0771515
Spain	0.077146
Vancouver	0.0769436
Newark	0.0768248
"Palm Beach County"	0.0768239
Sydney	0.0767888
"Salt Lake City"	0.0762168
Malaysia	0.0761504
Hartford	0.0760421
))
("California Angels" (desc 1667.42) (sims
"Kansas City Royals"	0.194646
"Boston Red Sox"	0.175705
"Oakland Athletics"	0.165361
"Baltimore Orioles"	0.159323
"Texas Rangers"	0.151752
"Los Angeles Dodgers"	0.151205
"Cleveland Indians"	0.146817
"Anaheim Angels"	0.142428
"Cincinnati Reds"	0.139855
"Chicago Cubs"	0.138222
"Montreal Expos"	0.136522
"San Francisco Giants"	0.12943
"San Diego Padres"	0.124337
"St. Louis Cardinals"	0.122026
"Milwaukee Brewers"	0.119854
"Arizona Diamondbacks"	0.116856
"Florida Marlins"	0.115743
"Toronto Blue Jays"	0.11454
"Atlanta Braves"	0.112847
"Washington Senators"	0.110595
"Pittsburgh Pirates"	0.108576
"Seattle Mariners"	0.101943
"Minnesota Twins"	0.101846
"Houston Astros"	0.0995273
"New York Yankees"	0.0990083
"Detroit Tigers"	0.0935567
"Philadelphia Phillies"	0.0908603
"Chicago White Sox"	0.075877
"New York Mets"	0.0744309
"New York Giants"	0.0740464
"Colorado Rockies"	0.0705448
"Brooklyn Dodgers"	0.0651469
"Houston Oilers"	0.0637648
"Tampa Bay Devil Rays"	0.061505
"Washington Redskins"	0.0604191
"Oakland Raiders"	0.0585909
"Tampa Bay Lightning"	0.0552213
"Winning Colors"	0.054251
AFL	0.0534486
"Edmonton Oilers"	0.0520339
"Arena League"	0.0519702
"Calgary Flames"	0.0516333
"Thunder Gulch"	0.0515575
Moorer	0.0508679
"Kansas City Chiefs"	0.0505987
"four homers"	0.0505359
"Frank Bruno"	0.049639
"Los Angeles Rams"	0.0495014
"Oliver McCall"	0.0494743
"St. Louis Post-Dispatch"	0.0486457
"New England Patriots"	0.048621
"Green Bay Packers"	0.0485063
"Scott Elarton"	0.048103
"New Jersey Nets"	0.0475786
pawnshop	0.0473296
"Buffalo Bills"	0.0472217
"Detroit Lions"	0.0466928
"Queens College"	0.0463534
"Cleveland Browns"	0.045913
Belfry	0.0450396
"Dallas Mavericks"	0.0442044
"Tampa Bay Buccaneers"	0.0438525
"Chrysler Building"	0.0435492
"Shan State"	0.0431865
"Chicago Bears"	0.0430334
"Golden State Warriors"	0.0429665
"British Empire"	0.0424845
"Seattle Seahawks"	0.0421245
vasectomy	0.0417637
Oakmont	0.0416481
BUCCANEER	0.041607
"US House"	0.0415006
grindstone	0.0414991
"Pittsburgh Steelers"	0.0412285
"Indianapolis Colts"	0.0409112
"Kraft Foods"	0.040898
Campas	0.0408694
Adelphia	0.0408677
"Atlanta Thrashers"	0.0404312
"College of Charleston"	0.0403898
"Denver Nuggets"	0.0402316
"Hamlet Cup"	0.0401363
"San Diego Chargers"	0.0400463
"service break"	0.0400191
))
("California Democrat" (desc 1374.07) (sims
D-Calif.	0.283791
"D-Los Angeles"	0.207046
"Massachusetts Democrat"	0.195375
"Florida Republican"	0.189761
"New York Democrat"	0.149697
"Charlene Barshefsky"	0.141393
"California Republican"	0.137645
"Illinois Republican"	0.123162
"Georgia Republican"	0.122806
"Arizona Republican"	0.103184
"North Carolina Republican"	0.102581
"Texas Republican"	0.0991761
"Wolfgang Petritsch"	0.0990626
"New York Republican"	0.0911818
GAM	0.0888162
D-Mass.	0.0812589
"Jeremy Greenstock"	0.0807554
"Vladislav Jovanovic"	0.0779993
"Faisal Husseini"	0.0774894
"Richard C. Holbrooke"	0.077162
"Hashim Thaci"	0.0763751
"Bernard Kouchner"	0.0752289
"Yukio Hatoyama"	0.0740793
D-Iowa	0.0735305
"Carlos Westendorp"	0.0722342
"Adem Demaci"	0.0704039
"Tom Hayden"	0.0683577
R-Utah	0.0683447
R-Calif.	0.0668135
Gilman	0.0642134
"Gene Sperling"	0.0638951
"Sher Bahadur Deuba"	0.0635155
D-N.Y.	0.063508
Hybl	0.0620425
"Jia Qinglin"	0.0617959
"Khin Nyunt"	0.0614012
"John Conyers"	0.0605545
"Zoe Lofgren"	0.0600737
R-Ga.	0.0600148
R-Ariz.	0.0595809
"Sergio Vieira de Mello"	0.0594208
D-Fla.	0.0590806
D-Nev.	0.0583596
Ruehe	0.0581575
Husseini	0.0579618
D-Mich.	0.057737
"Carl Bildt"	0.0573692
"Jose Serrano"	0.056409
"Ding Guangen"	0.0562446
Mukora	0.0561726
Barbour	0.0559141
D-S.D.	0.0558246
"Dai Bingguo"	0.055516
"Wei Jianxing"	0.0554607
Tsvangirai	0.0553879
Seleznyov	0.055116
R-Ind.	0.0546351
"Donna Shalala"	0.0546304
Paulson	0.0545589
"Ian Paisley"	0.0540282
Rais	0.0540068
"Momcilo Krajisnik"	0.0539524
Gosper	0.0535735
D-Neb	0.0534126
DPR	0.0533048
Nasrallah	0.0531744
"Chief Executive Tung Chee-hwa"	0.0530903
R-Neb	0.0526348
"Robert Gelbard"	0.0525393
"John Sweeney"	0.0522964
Kabariti	0.0522779
"Li Tieying"	0.0522398
Soyinka	0.0521992
Clements	0.0520808
"Li Lanqing"	0.0520484
"Yuri Maslyukov"	0.0519771
"Jiang Chunyun"	0.0515231
Fernandes	0.0515198
D-Mo.	0.0513199
"Long Yongtu"	0.0512472
Mladic	0.0511687
Meguid	0.0510693
Meng	0.0510156
Shevardnadze	0.0509767
"Allied Pilots Association"	0.0508012
Guterres	0.0507558
"Susan Molinari"	0.050617
D-Ill.	0.0505134
"Joao Havelange"	0.0504813
"Barney Frank"	0.0504452
"Hanan Ashrawi"	0.0503581
"Huang Ju"	0.0503446
Menendez	0.0499165
"Tim Fischer"	0.0496059
"New York Civil Liberties Union"	0.0495844
Jovanovic	0.0493098
Levitt	0.0492594
"Dore Gold"	0.0490273
"Secretary General Boutros Boutros-Ghali"	0.0489527
"Sandy Alderson"	0.0488607
"Yu Yongbo"	0.0486179
Boueiz	0.0485602
Rodionov	0.0484627
"government officials"	0.0482571
Hauser	0.0482276
Beye	0.047841
Montiel	0.0477889
Vollebaek	0.0477224
Stroyev	0.0477104
Djindjic	0.0476057
Ashrawi	0.0473455
"governor general"	0.0473023
"Lee Hsien Loong"	0.0472968
Klima	0.0471588
Jia	0.0470136
Ferrer	0.0470049
Pelosi	0.0469062
Moratinos	0.046732
Diouf	0.0466793
"Oskar Lafontaine"	0.0466659
Zou	0.0465761
"Dan Glickman"	0.0464654
R-Pa.	0.0463043
Karimov	0.0460951
Leghari	0.0457358
"Hu Jintao"	0.0456927
R-Iowa	0.0456292
R-Ala.	0.0456157
Ikeda	0.0455351
"Sam Rainsy"	0.0454876
Musa	0.045481
"vote counter"	0.0453222
Hastings	0.0452579
Donohue	0.0452464
counsellor	0.0451456
"US Congress"	0.0449937
R-Ohio	0.0449298
Breuer	0.0449088
"Sheikh Saad"	0.0448571
"Tom Davis"	0.0446742
al-Sahhaf	0.0444471
"telephone operator"	0.044391
"Vuk Draskovic"	0.0443465
Braswell	0.0443214
Joklik	0.0441514
"Defense William Cohen"	0.0441419
"Olympic Council of Asia"	0.0440803
Abdel-Meguid	0.043961
D-Ohio	0.0438817
Manley	0.0438724
Zeng	0.0438569
Cleary	0.0438553
"Republican House"	0.0436552
Sheehan	0.0435163
R-Va.	0.0434925
Gramm	0.0434497
Stoyanov	0.043386
"Gennady Seleznyov"	0.0432331
"Cheng Siwei"	0.0432003
Sponeck	0.0431129
"Special Adviser"	0.0430172
"Robert F. Kennedy Jr."	0.0429333
"Bizima Karaha"	0.0427944
"Archbishop Desmond Tutu"	0.042772
Rifkind	0.0427713
"government minister"	0.0426636
"Majority Whip Tom DeLay"	0.0426328
"funeral director"	0.0425956
"Health and Welfare Ministry"	0.0424875
"National Security Adviser Sandy Berger"	0.0424296
Orban	0.0423918
Klerk	0.0423787
Bragg	0.0423483
"Jean-Claude Ganga"	0.0422598
"Inter-Parliamentary Union"	0.0421986
"Group of Rio"	0.0420643
"Fu Quanyou"	0.042031
Akayev	0.041974
Kessler	0.0419683
"Yossi Beilin"	0.0419096
Berri	0.0418894
Malu	0.0418609
D-N.J.	0.0417322
Bolger	0.0416719
"Ron Brown"	0.0415784
"King Abdullah II"	0.0415228
"Jennifer Dunn"	0.0414808
Glickman	0.0414394
Meles	0.0413436
Gogel	0.0412752
R-Miss.	0.0412284
"South Pacific Forum"	0.0411858
R-N.H.	0.0411718
"Superintendent Ruben Zacarias"	0.0411568
Kang	0.0411167
Lipponen	0.0410747
"Liu Huaqing"	0.0410439
Moscoso	0.0410237
Draskovic	0.0409924
Malan	0.0409832
))
("California Institute of Technology" (desc 3506.04) (sims
"Michigan State University"	0.211225
"Cornell University"	0.210988
"University of Chicago"	0.210468
"Massachusetts Institute of Technology"	0.201609
Cornell	0.198849
"Harvard University"	0.194136
"University of Hawaii"	0.193658
"Purdue University"	0.188569
"University of Arizona"	0.188495
"University of California"	0.188242
"Johns Hopkins University"	0.187621
CalTech	0.187491
"Pennsylvania State University"	0.185551
"University of Washington"	0.183846
"Johns Hopkins"	0.182411
"University of Rochester"	0.182067
"University of Maryland"	0.178321
"University of Illinois"	0.175567
"Stanford University"	0.174977
"San Francisco State University"	0.173579
"Princeton University"	0.16665
"University of Iowa"	0.166325
"University of Colorado"	0.166315
"Jet Propulsion Laboratory"	0.162302
"Cambridge University"	0.158194
"Rockefeller University"	0.158162
"University of Michigan"	0.15775
MIT	0.155936
"Ohio State University"	0.153195
"Columbia University"	0.150415
"Colorado State University"	0.149847
"Arizona State University"	0.146939
"University of Notre Dame"	0.146804
"University of Minnesota"	0.146514
"University of Utah"	0.144123
"University of Wisconsin"	0.143083
"University of Pennsylvania"	0.142438
"Harvard School of Public Health"	0.141907
"New York University"	0.14106
"Yale university"	0.139648
"London School of Economics"	0.138567
"Duke University"	0.138118
"U.S. Geological Survey"	0.138063
"Boston University"	0.138028
"George Washington University"	0.137044
"Iowa State University"	0.136517
"University of Florida"	0.133961
"University of Texas"	0.133442
"Tufts University"	0.133123
"University of Toronto"	0.131338
"University of Massachusetts"	0.128965
"Louisiana State University"	0.127661
"Rutgers University"	0.127548
"University of Maine"	0.126991
"Washington University"	0.125416
"University of Pittsburgh"	0.12486
"Bell Labs"	0.124818
"Bell Laboratories"	0.124478
"University of Virginia"	0.124297
"University of Kentucky"	0.124034
"Brown University"	0.123876
"Oxford University"	0.12324
"Vanderbilt University"	0.12186
"Williams College"	0.121484
"Harvard Medical School"	0.12138
Yale	0.12012
"Lawrence Livermore National Laboratory"	0.119957
"Hebrew University"	0.119069
"North Carolina State University"	0.117363
Princeton	0.117306
"University of New Mexico"	0.117226
"State University of New York"	0.117128
"University of Southern California"	0.116117
"University of Hong Kong"	0.114142
"Emory University"	0.114012
"Georgetown University"	0.113619
"Urban Institute"	0.112401
"University of Connecticut"	0.112177
"Kansas State University"	0.110154
"Carnegie Mellon University"	0.10839
Harvard	0.107172
"City University of New York"	0.107052
"Syracuse University"	0.10622
"Brandeis University"	0.105693
"University of Oklahoma"	0.103884
"Florida State University"	0.103749
"Rice University"	0.102138
"McGill University"	0.101762
Stanford	0.100987
"University of South Carolina"	0.100769
"Fudan University"	0.100033
"University of North Carolina"	0.0992896
"Fordham University"	0.0987363
"Harvard Law School"	0.0984494
JPL	0.0972852
"National Aeronautics and Space Administration"	0.0958571
"Hofstra University"	0.095814
"National Cancer Institute"	0.0956089
"Kennedy School of Government"	0.0947613
"University of Tennessee"	0.0946198
"Los Alamos National Laboratory"	0.0942973
"University of Alabama"	0.0940759
"Baylor College of Medicine"	0.0921423
"University of Dayton"	0.0912912
"University of Miami"	0.0896652
"Johnson Space Center"	0.0892147
"University of New Hampshire"	0.0891132
"Texas Tech University"	0.0890598
"California State University"	0.0888631
"Harvard Business School"	0.0883534
"National Oceanic and Atmospheric Administration"	0.0882205
"City College"	0.088017
"Amherst College"	0.0878875
Fermilab	0.0878467
"Queens College"	0.0877491
CERN	0.0871344
"Memorial Sloan-Kettering Cancer Center"	0.0869703
"Zhongshan University"	0.0863657
"University of Kansas"	0.0863071
Berkeley	0.0852492
"Beijing University"	0.0847164
"Northwestern University"	0.084647
"Howard University"	0.0837484
UCSF	0.0832108
"University of Georgia"	0.0828413
"teachers college"	0.0828145
"Indiana University"	0.0812741
"American University"	0.0811274
"Smith College"	0.0806853
"University of Missouri"	0.0806167
Dartmouth	0.0800739
"Peking University"	0.0796729
"Florida International University"	0.0782823
Oxford	0.0782503
"school of medicine"	0.0782268
"Dartmouth College"	0.0781834
"Wright State University"	0.0773778
"Carnegie Endowment"	0.0764438
Brookhaven	0.0761776
Emory	0.0758172
"Georgia Tech"	0.0754555
"city university"	0.075365
"Hunter College"	0.0743966
"University of Zimbabwe"	0.0738261
"RAND Corp."	0.0737608
"University of Arkansas"	0.0734242
"Qinghua University"	0.0733272
"Woods Hole"	0.0731506
"Brigham Young University"	0.072275
"Georgia State University"	0.0719642
"University of Nevada"	0.0718921
"Temple University"	0.0715731
"George Mason University"	0.0712722
"Simon Wiesenthal Center"	0.0712038
Brigham	0.0711771
CDC	0.0711142
"Media Lab"	0.0704831
"University of Houston"	0.0702994
"National Institutes of Health"	0.0700507
Rutgers	0.0695713
Brandeis	0.069567
"National Institute"	0.069336
"Northeastern University"	0.0688685
"Chinese Academy of Social Sciences"	0.0682909
CAS	0.0680078
"University of Cincinnati"	0.0679483
"Washington State University"	0.0677939
Sorbonne	0.0675248
UMKC	0.0667014
"University of Mississippi"	0.0665795
"Council on Foreign Relations"	0.0663565
"Union of Concerned Scientists"	0.0661318
"Dana-Farber Cancer Institute"	0.0660753
tuft	0.0660509
"Yale Law School"	0.0659982
"University of Nebraska"	0.0644962
"Chinese Academy of Sciences"	0.063964
SETI	0.0638408
Livermore	0.0636923
"Mayo Clinic"	0.0628012
"Los Alamos"	0.0625691
"UC Berkeley"	0.0624068
"Ritz-Carlton Hotel"	0.062406
"Natural Resources Defense Council"	0.0621216
"American Enterprise Institute"	0.0612469
"Southern Methodist University"	0.0593289
"Catholic University"	0.0588965
"Boston College"	0.0584476
"Massachusetts General Hospital"	0.0580704
"University of Oregon"	0.0571672
"John F. Kennedy School of Government"	0.0571622
"Seton Hall University"	0.0569426
"Development Research Center"	0.0560114
"U.S. Naval Academy"	0.0556849
"Brookings Institution"	0.0556619
"American Association"	0.0552155
"Juilliard School"	0.0547721
NCI	0.0547163
"Center for Strategic"	0.0543534
"medical school"	0.0540554
))
("California Republican" (desc 1730.49) (sims
R-Calif.	0.340093
"Florida Republican"	0.187593
"California Democrat"	0.137645
"Christian Democrat"	0.133914
"Georgia Republican"	0.131336
"New York Republican"	0.128685
"Texas Republican"	0.121186
"Republican House"	0.110266
"National Action"	0.10681
"Israeli Arab"	0.104037
"Illinois Republican"	0.100792
"Charlene Barshefsky"	0.0999339
"Massachusetts Democrat"	0.0991614
"North Carolina Republican"	0.0969428
"Arizona Republican"	0.0937715
"Ulster Unionist"	0.0917708
Lakas	0.0878026
"New York Democrat"	0.0873493
DPP	0.0872402
Cuban-American	0.0856436
"Democratic Revolution"	0.0821465
Laban	0.0789768
D-Neb	0.0765908
GAM	0.0759656
"Richard C. Holbrooke"	0.0753053
Gesher	0.0740436
PDP	0.073301
D-La.	0.0729239
NDP	0.0726525
MMD	0.0715398
"House GOP"	0.0706135
SDLP	0.070497
"Vladislav Jovanovic"	0.069259
UML	0.0682003
CDU	0.0672619
Sandinista	0.0663166
"Wolfgang Petritsch"	0.0652983
Pd	0.0637365
"Conservative Party"	0.063588
"Senate Republican"	0.0614847
FORD-Kenya	0.0611726
"Republican Senate"	0.061089
R-N.H.	0.0608303
MDC	0.0606185
"Independence Party"	0.0606149
"Black Panther"	0.0604942
"Chinese NPC"	0.0595499
Mensa	0.0594903
"Northern Irish"	0.0591708
NRP	0.0585039
PML-N	0.0584427
SDS	0.0582788
"Jeremy Greenstock"	0.0581553
"NZ First"	0.0570413
"Gene Sperling"	0.0561478
Hesse	0.0560029
D-Calif.	0.055931
CUF	0.0557549
R-Del.	0.0556938
VFW	0.0554109
R-Miss.	0.0548995
NKP	0.054846
Tory	0.0543813
"Bernard Kouchner"	0.0536739
"Social Democratic"	0.053511
CFTC	0.0533656
MQM	0.053258
NLD	0.0530806
BNP	0.0525334
R-La.	0.0522998
Ruehe	0.0522662
"Ward Connerly"	0.052096
Likud	0.0517224
Meretz	0.0516076
NC	0.0509567
"House Republican"	0.0505408
"Adem Demaci"	0.0502668
UNP	0.0500244
"Maricopa County"	0.0499456
"D-Los Angeles"	0.0499036
UNIP	0.0498276
"New Zealand First"	0.0495957
Safina	0.04892
"Yossi Sarid"	0.0487931
SPD	0.0486812
R-N.J.	0.0485009
"other eight"	0.048432
"Barisan Nasional"	0.0481354
"Social Democrat"	0.047943
"Khin Nyunt"	0.047906
Kasoulides	0.047844
"Orthodox Jewish"	0.0475138
Israeli-Arab	0.0473249
INEC	0.0470811
CCM	0.0468998
R-Va.	0.0467868
CMAG	0.0462913
UMNO	0.0456857
"Hashim Thaci"	0.0454735
nominating	0.0454102
"New Democracy"	0.0453907
"Green Party"	0.0453627
F.A	0.0453284
R-Iowa	0.0449972
LVMH	0.0449716
DPR	0.0449685
HDZ	0.0448974
"Likud Party"	0.04487
"Carlos Westendorp"	0.044572
"National Association of Broadcasters"	0.0443337
"Robert Gelbard"	0.0437768
Timorese	0.043496
D-Mo.	0.0434948
R-Alaska	0.0433839
NGO	0.0432363
R-Pa.	0.0431728
Kashmiri	0.0431167
Pelosi	0.0429552
slain	0.042907
Fatah	0.0425643
Histadrut	0.0425329
"Christopher Smith"	0.0425184
"Bay State"	0.0423086
"Ron Wyden"	0.0421696
Latvian	0.0421239
APP	0.0417311
"House Budget Committee"	0.0417303
"Commerce Committee"	0.0417054
"National Urban League"	0.0415902
"Liberal Party"	0.0415251
"less than five"	0.0414914
"Sher Bahadur Deuba"	0.0414369
R-Ohio	0.0413759
Downstate	0.0413272
NEA	0.0412482
"Mel Brooks"	0.041192
LDP	0.0411247
ultranationalist	0.041103
"opposition party"	0.0408398
CSU	0.0408111
JMC	0.0406617
dovish	0.0405675
MPLA	0.0405599
Renamo	0.0405044
Asian-American	0.0404752
four-night	0.0403922
"Sunni Muslim"	0.0403895
R-Idaho	0.040357
Bliley	0.0403267
Zuckerman	0.0403161
"National Front"	0.0402294
DAP	0.0401493
Skoda	0.0401053
Terra	0.0400734
))
("California Speedway" (desc 3528.95) (sims
"Atlanta Motor Speedway"	0.243293
"Michigan Speedway"	0.159314
"Las Vegas Motor Speedway"	0.14869
Daytona	0.13971
"New Hampshire International Speedway"	0.138207
Martinsville	0.136766
Fontana	0.133436
Suzuka	0.131524
"Daytona International Speedway"	0.130856
Pocono	0.126286
speedway	0.124315
"Sears Point"	0.123084
Talladega	0.122614
Irwindale	0.122135
"Texas Motor Speedway"	0.119217
TM	0.115072
"Charlotte Motor Speedway"	0.112453
"Motor Speedway"	0.111902
NHIS	0.107155
Pir	0.100875
"Indianapolis Motor Speedway"	0.100642
"Gulfstream Park"	0.0958206
Darlington	0.0951047
"Talladega Superspeedway"	0.0950156
Rockingham	0.0930936
IMS	0.0918744
"Churchill Downs"	0.0900683
Silverstone	0.0893516
Hakuba	0.0891273
Indy	0.08555
superspeedway	0.0840185
"World Cycling Championships"	0.0821215
"Suffolk Downs"	0.0800437
"Park City"	0.0800012
Bormio	0.0790612
cm	0.0787037
"Lake Louise"	0.0781112
"Le Mans"	0.0776803
Monza	0.0771311
"Olympic Winter Games"	0.0771101
Lahti	0.076332
"British Grand Prix"	0.0756851
Brickyard	0.0755256
"Watkins Glen"	0.0754515
"Japanese Grand Prix"	0.0750396
"Lipton Championships"	0.0744927
Imola	0.0739936
"London Marathon"	0.0735831
Kitzbuehel	0.0723107
"Nagano Winter Olympics"	0.0716228
"Nagano Olympics"	0.0712436
"Santa Anita"	0.0706259
Dover	0.0697191
Loudon	0.0683974
"Waldorf-Astoria Hotel"	0.0677109
Sestriere	0.0669475
"Fair Grounds"	0.0666043
"World Cup Finals"	0.0664559
Innsbruck	0.0662043
"Devil Stadium"	0.0657644
"European Swimming Championships"	0.0656626
AMs	0.065525
"Pikes Peak"	0.0655129
"Lone Star Park"	0.0646812
Chamonix	0.063323
"Giants Stadium"	0.0620811
"Hollywood Park"	0.0620581
"Belmont Park"	0.0617927
"Miami Fusion"	0.0611881
Keeneland	0.0606333
Heerenveen	0.0602469
"Pleasant Valley"	0.0592962
"Melbourne Cricket Ground"	0.0586242
"Continental Arena"	0.0580485
"Oak Tree"	0.0578691
"Foxboro Stadium"	0.0567303
"Del Mar"	0.0563342
Aqueduct	0.0555242
"MCI Center"	0.0551832
"Egyptian capital"	0.0551453
"Pepsi @@@"	0.0550975
Metrodome	0.0548224
Superdome	0.0539382
"Lone Star"	0.0537382
"Georgia Dome"	0.053508
Filderstadt	0.0532258
"World University Games"	0.0532197
"Shrine Auditorium"	0.0531131
"Central Clinical Hospital"	0.0528807
"Sydney Olympic Games"	0.0527168
one-mile	0.0525666
"Madison Square Garden"	0.0515198
Saratoga	0.0513344
"Memorial Tournament"	0.051035
"Centennial Olympic Games"	0.0502996
"Rose Bowl"	0.0498127
"Miami Arena"	0.049683
"Jockey Club Gold Cup"	0.04896
Pimlico	0.0489534
Bristol	0.0489026
Coliseum	0.0488073
fairground	0.0486375
"Indian Wells"	0.0485994
"skiing race"	0.0485138
"Reunion Arena"	0.048482
FleetCenter	0.0482571
"America West Arena"	0.0470593
"World Figure Skating Championships"	0.0470535
"Oaklawn Park"	0.0469659
"Monmouth Park"	0.0469496
"County Stadium"	0.0468412
Seville	0.0466305
Gelsenkirchen	0.0465151
Cavalese	0.0462753
"Compaq Center"	0.0461448
"Pebble Beach"	0.0458573
"Nassau Coliseum"	0.0456765
"Olympic Club"	0.0456099
"New York Film Festival"	0.0456021
"World Weightlifting Championships"	0.0451066
"San Sebastian"	0.0447293
"Olympic Stadium"	0.0447104
Highbury	0.0443589
"Villa Park"	0.0440574
Sipadan	0.0440184
"track meet"	0.0437859
"World Athletics Championships"	0.0435558
"Fenway Park"	0.0433817
Linz	0.0433547
"Dodger Stadium"	0.043275
"Texas Stadium"	0.0432667
"Pauley Pavilion"	0.0432389
Trondheim	0.0432003
two-mile	0.0431502
"Pro Player Stadium"	0.0430877
"East Asian Games"	0.0429609
"Roland Garros"	0.0429527
"Long Beach"	0.0427701
"LA COSTA"	0.0427397
Basle	0.0426189
Langkawi	0.0425765
"Key Biscayne"	0.0425752
"Delta Center"	0.0425607
"RCA Dome"	0.0424387
"World Team Cup"	0.042305
"Melbourne Park"	0.0422464
"Exposition Park"	0.0420723
"Busch Grand National"	0.0419729
"Volleyball Grand Prix"	0.0417613
"UC Irvine"	0.0416288
Fukuoka	0.0415285
"Radio City Music Hall"	0.0413053
"Nevada State Athletic Commission"	0.0411932
Durres	0.0411807
"United Center"	0.0410969
"European Championships"	0.0410755
mid-night	0.040835
lunchtime	0.0408251
"Kremlin Cup"	0.0406821
"Mount Carmel"	0.0405043
"Iranian Foreign Ministry"	0.0404456
"St Petersburg"	0.0404217
"French Grand Prix"	0.0401487
))
("California State University" (desc 5659.36) (sims
"American University"	0.194471
"University of Illinois"	0.188897
"State University of New York"	0.185462
"University of Kansas"	0.183535
"University of California"	0.1793
"University of Massachusetts"	0.177258
"City University of New York"	0.176507
"Northwestern University"	0.17572
"University of North Carolina"	0.172248
"University of Wisconsin"	0.171146
"New York University"	0.169444
"Syracuse University"	0.167675
"University of Southern California"	0.167606
"University of Florida"	0.166293
"Texas Christian University"	0.165439
"Brown University"	0.16438
"University of Texas"	0.163966
"University of Missouri"	0.163727
"University of Maryland"	0.161634
"Howard University"	0.16049
"Harvard Business School"	0.159605
"Boston University"	0.159047
"Indiana University"	0.157814
"University of New Mexico"	0.155689
"City College"	0.15501
"Emory University"	0.154183
"University of New Hampshire"	0.153854
"Yale university"	0.152314
"George Washington University"	0.152111
"Stanford University"	0.15081
"Arizona State University"	0.150077
"Georgetown University"	0.149947
"Duke University"	0.149813
"Rutgers University"	0.149104
"Vanderbilt University"	0.149071
"Dartmouth College"	0.148521
"University of South Carolina"	0.14743
"Williams College"	0.14379
"University of Colorado"	0.143491
"Ohio State University"	0.142929
"Northeastern University"	0.14209
"Tufts University"	0.14203
"Amherst College"	0.141541
"University of Utah"	0.140978
"University of Iowa"	0.140938
"Southern Methodist University"	0.140814
"Brandeis University"	0.140809
"University of Michigan"	0.140666
"Princeton University"	0.139106
"Michigan State University"	0.138214
"Iowa State University"	0.137436
"Wesleyan University"	0.135966
"Fordham University"	0.135423
"Columbia University"	0.134837
"University of Chicago"	0.133191
"University of Minnesota"	0.133187
"Hunter College"	0.131151
"Washington University"	0.13026
"University of Georgia"	0.129864
"Rice University"	0.129538
"Georgia State University"	0.128884
"Florida State University"	0.128632
"McGill University"	0.12805
"Auburn University"	0.127907
"Cornell University"	0.127297
"Beijing University"	0.126538
"George Mason University"	0.126332
"University of Mississippi"	0.125523
"Kansas State University"	0.125406
"University of Cincinnati"	0.125076
"Queens College"	0.124599
"University of Notre Dame"	0.124427
"University of Alabama"	0.124404
"Smith College"	0.124096
"Cambridge University"	0.124058
"University of Hong Kong"	0.123832
"University of Virginia"	0.123244
"San Francisco State University"	0.123157
"University of Pennsylvania"	0.123106
"University of Arizona"	0.122686
"Harvard University"	0.121397
"Oxford University"	0.119262
"UC Berkeley"	0.118162
"Massachusetts Institute of Technology"	0.118116
"Harvard Medical School"	0.117025
"Brigham Young University"	0.116158
"Louisiana State University"	0.115631
"Temple University"	0.114636
"London School of Economics"	0.113533
"University of Kentucky"	0.112775
"University of Rochester"	0.111921
"Johns Hopkins University"	0.111242
"Hebrew University"	0.108988
"University of Washington"	0.108364
"Yale Law School"	0.107953
"Juilliard School"	0.107726
"University of Tennessee"	0.107575
"Nanjing University"	0.107411
"Harvard Law School"	0.107258
UMKC	0.106578
"University of Pittsburgh"	0.105765
"University of Rhode Island"	0.105594
"Kennedy School"	0.10525
"University of Toronto"	0.105173
"University of Zimbabwe"	0.103962
Yale	0.103535
"Colorado State University"	0.103424
MIT	0.103172
"Purdue University"	0.102859
"University of Nebraska"	0.102225
"Pennsylvania State University"	0.101932
"University of Arkansas"	0.101194
"North Carolina State University"	0.0990742
"Qinghua University"	0.0989402
"College of Charleston"	0.0980223
"Florida International University"	0.0975861
"school of law"	0.097319
"Barnard College"	0.0972702
"University of Houston"	0.097037
"University of Dayton"	0.0970349
"city university"	0.0970307
"Carnegie Mellon University"	0.0969918
"Wake Forest University"	0.0969003
"University of Maine"	0.0955572
"Catholic University"	0.0955326
"community college"	0.0950092
"Washington State University"	0.0941825
"University of Miami"	0.093281
"teachers college"	0.0931466
"National Autonomous University"	0.0921232
"Trinity College"	0.0920232
"University of Connecticut"	0.0913264
"California Institute of Technology"	0.0888631
Sorbonne	0.0886919
Brandeis	0.0873659
"Chinese University of Hong Kong"	0.0872687
"Baylor University"	0.0872122
"Peking University"	0.0863879
"Fudan University"	0.0861169
"school of medicine"	0.0858076
"University of Oklahoma"	0.0851013
"U.S. Naval Academy"	0.0831682
"business school"	0.0831401
"University of Nevada"	0.0825025
Princeton	0.0819814
"University of Oregon"	0.0818495
"University of Wyoming"	0.0813722
"Tehran University"	0.0801631
"John F. Kennedy School of Government"	0.0798218
"Makerere University"	0.079261
Harvard	0.0788671
"Cooper Union"	0.0787732
"Texas Tech University"	0.078773
Cornell	0.0785562
"Furman University"	0.0784394
"Kennedy School of Government"	0.0784155
"Harvard School of Public Health"	0.0777526
Vassar	0.0751519
"Hofstra University"	0.0744212
CUNY	0.0740884
"Boston College"	0.0720024
"Nankai University"	0.0719518
Dartmouth	0.0711486
Emory	0.0704937
"medical school"	0.0698837
"National Autonomous University of Mexico"	0.0689329
"Wright State University"	0.0688187
"Seton Hall University"	0.0681674
"University of Hawaii"	0.0669811
"school of music"	0.0660716
"Georgia Tech"	0.0652521
CalTech	0.0643789
"School of Public Health"	0.0632784
Stanford	0.0630917
"Wharton School"	0.062613
"Rockefeller University"	0.0623793
"Graduate School of Business"	0.0617531
KU	0.061302
"Media Lab"	0.059374
Oxford	0.0589407
UGA	0.0589036
Amherst	0.0583012
Berkeley	0.0561866
"Baylor College of Medicine"	0.0551975
seminary	0.0551619
"law school"	0.054278
"Zhejiang University"	0.0540767
Juilliard	0.0534827
"alma mater"	0.0533341
"West Point"	0.0529507
UT	0.0528868
SUNY	0.0521024
conservatory	0.0519883
microbiology	0.0507515
"Shrine Auditorium"	0.0504781
"military academy"	0.0501582
"Bob Jones University"	0.0500858
"naval academy"	0.0490686
"University of China"	0.0483834
CSU	0.0478924
))
("California wine" (desc 1809.09) (sims
"Bordeaux wine"	0.148708
"sparkling wine"	0.120343
Chianti	0.114726
"consumer goods"	0.100635
newsprint	0.095379
"alcoholic beverage"	0.0950295
"passenger car"	0.0948969
"home appliance"	0.0940792
VCD	0.0933597
"golf equipment"	0.0918824
Evian	0.0907706
"mineral water"	0.0906522
jewellery	0.089116
generics	0.088507
"machine tool"	0.0879459
Beaujolais	0.0867936
"spring water"	0.08555
tequila	0.0854107
"fish meal"	0.084047
"household appliance"	0.0838997
"sea food"	0.0836898
"consumer electronics"	0.0833889
"palm oil"	0.0819965
"Dom Perignon"	0.0818909
"white wine"	0.0816811
poultry	0.0786227
"building material"	0.0773686
"red wine"	0.076873
"cane sugar"	0.0764549
gemstone	0.0761712
non-oil	0.0754707
ranching	0.0753995
olestra	0.0752252
"frozen food"	0.0749547
semiconductor	0.0748083
minicomputer	0.0747586
vodka	0.074515
Prilosec	0.0741148
"Far Eastern"	0.0733458
handicraft	0.0732284
knitwear	0.07311
"blue crab"	0.0727253
"soft drink"	0.0718281
liquor	0.0714298
Cabernet	0.0709278
cashew	0.0708121
"fish fillet"	0.0704486
"citric acid"	0.0702883
cocoa	0.0699789
"household product"	0.0695836
"fresh fish"	0.0688295
jute	0.0688108
cacao	0.0687329
"iron ore"	0.0685138
"cashew nut"	0.0682234
hosiery	0.0677442
Claritin	0.0677006
"computer hardware"	0.0675463
apparel	0.0674689
"fortune cookie"	0.0666362
lumber	0.0665254
cosmetic	0.0664451
"citrus fruit"	0.0662614
"root beer"	0.0660309
beverage	0.0655615
Snapple	0.0649096
Budweiser	0.0648194
foodstuff	0.0647408
LIPITOR	0.0646717
"precious metal"	0.0642716
"sugar beet"	0.0641636
Orangina	0.0637964
"convenience food"	0.0637853
aquaculture	0.0637544
"dairy product"	0.0632779
"memory chip"	0.0629489
sugarcane	0.0628895
merlot	0.0625771
"motor vehicle"	0.0624991
"over @,@@@ tons"	0.0619762
"high technology"	0.0615481
air-conditioner	0.0615164
LNG	0.0611096
bubbly	0.0607622
Cognac	0.0606089
"snack food"	0.0604327
IC	0.0603643
dairy	0.0601496
bourbon	0.0601344
whisky	0.0600703
footwear	0.0598405
Chardonnay	0.0596782
"office furniture"	0.0589117
"sheet music"	0.0588282
"black tea"	0.058692
Epogen	0.0586361
conditioner	0.0585485
KIMCHI	0.0584713
barley	0.0583918
"pet food"	0.0580867
Microelectronics	0.058004
wool	0.0578809
"aircraft part"	0.0578329
CRT	0.057723
"disk drive"	0.0576938
Burley	0.0576498
confectionery	0.0574655
seafood	0.0573834
Zinfandel	0.057111
"Western Pacific"	0.0569478
aquiculture	0.0568351
Gatorade	0.0567228
Heineken	0.0566685
soda	0.0565762
dram	0.0565372
undergarment	0.0565283
soybean	0.0563908
Riesling	0.0562922
"motion picture"	0.0562631
"hand-held computer"	0.0561599
Tyre	0.0559364
phosphate	0.0553857
"frozen foods"	0.05524
"sugar cane"	0.0550234
"cut of meat"	0.055013
copier	0.0549695
hotspots	0.0545204
"hot sauce"	0.0544958
"rare earth"	0.0542002
lysine	0.0540935
"trading card"	0.0540648
whiskey	0.0539582
"food product"	0.0539408
"skin care"	0.0538857
citrus	0.0538599
"creature comforts"	0.0538158
"Cabernet Sauvignon"	0.0537351
"Vidalia onion"	0.0536171
"horseshoe crab"	0.0534518
varietals	0.0533453
"cooking oil"	0.0533171
"communications equipment"	0.0530937
Syrah	0.052933
"precious stone"	0.0529163
"durable goods"	0.0527979
shellfish	0.052783
"consumer durables"	0.0525426
Isthmus	0.0524919
"electric power"	0.052474
"sewing machine"	0.0522443
G@@	0.0522089
CPO	0.0520795
yearling	0.0519132
"hair spray"	0.0519092
"liquefied petroleum gas"	0.0518693
"picture tube"	0.0518101
aquatics	0.0517265
microchip	0.0516407
"integrated circuit"	0.0515454
videogame	0.051541
"Orthodox Christian"	0.0513098
Rhone	0.0512832
housewares	0.0510747
Gypsum	0.0510284
Decani	0.0509524
"consumer product"	0.0509008
cellulose	0.0507499
"synthetic fiber"	0.0506774
"more than @ million tons"	0.0506471
timepiece	0.0506194
"New Beetle"	0.0505122
"Pinot noir"	0.0503883
hGH	0.0503649
REIT	0.0503182
"wind power"	0.0502969
"quarter horse"	0.050282
Picassos	0.0500261
pulp	0.0499454
caviar	0.0499064
"life insurance"	0.0497395
"Golden Triangle"	0.0495817
sorghum	0.0495532
ethanol	0.0495007
"maple syrup"	0.0491852
"cellular telephone"	0.0488994
Fragrance	0.0487195
"iced tea"	0.0486686
"coffee bean"	0.0486478
cola	0.0486206
Marlboros	0.0485104
reinsurance	0.0484892
androstenedione	0.0483746
lager	0.0482992
Gallo	0.0482607
"ballroom dancing"	0.0482078
"liquefied natural gas"	0.048153
"food grain"	0.0481163
petrol	0.0480595
"steel plate"	0.0480575
husbandry	0.048023
))
(Californian (desc 16678.9) (sims
Texan	0.13535
Floridian	0.114103
Georgian	0.112381
Canadian	0.111517
Mexican	0.108582
Iowan	0.107024
"New Yorker"	0.10689
"Sri Lankans"	0.104143
Filipino	0.102824
Hispanic	0.102072
American	0.100808
Ohioan	0.099687
Taiwanese	0.099285
Southerner	0.0991571
Cambodian	0.0989746
Colombian	0.0988833
"union member"	0.0983979
"New Englander"	0.0970741
Arizonan	0.0963113
Missourian	0.096012
"senior citizen"	0.0941142
Londoner	0.0939089
Kenyan	0.0935472
respondent	0.0932599
Beijingers	0.0932537
Haitian	0.0929646
voter	0.0926656
Brazilian	0.0925648
Minnesotan	0.0921868
Quebecers	0.0919139
Ukrainians	0.0918072
Tibetans	0.0903702
Latino	0.0900551
Ugandan	0.0894247
"Puerto Rican"	0.0876423
Briton	0.0866376
Vietnamese	0.0865139
citizen	0.0850646
adult	0.0849971
"South African"	0.0849325
Bulgarian	0.0848945
resident	0.0847224
African-American	0.0838825
Panamanian	0.0838669
Turk	0.0835039
viewer	0.0826324
Venezuelan	0.0826262
Australian	0.0821764
Greeks	0.08199
retiree	0.0817889
Peruvian	0.0816145
Chilean	0.081537
senior	0.0810078
policyholder	0.0808252
Thai	0.0807862
Angolan	0.0806689
"San Franciscans"	0.0806671
"college student"	0.0801245
Nigerian	0.0799355
Reader	0.0795805
"business traveler"	0.0795572
"black woman"	0.0793214
Singaporean	0.0791529
smoker	0.0791033
Honduran	0.0783311
homeowner	0.0780293
Indonesian	0.0780108
"New Zealander"	0.077775
Zimbabwean	0.0775625
Parisian	0.077547
"South Carolinian"	0.0769045
enrollee	0.0765218
traveler	0.0764533
Russian	0.0763753
Ecuadoreans	0.0761967
"New Jerseyans"	0.0760494
household	0.0758359
diabetic	0.0757378
Ethiopian	0.0755548
African	0.0754806
inhabitant	0.0753674
listener	0.0753389
shopper	0.0751323
farmer	0.0750219
Jordanian	0.074823
Kansan	0.0747978
"baby boomer"	0.0745096
taxpayer	0.0744779
Israeli	0.0744205
Virginian	0.0743434
recipient	0.0738516
subscriber	0.0737104
consumer	0.0734558
Bosnians	0.0734425
sufferer	0.0731937
beneficiary	0.0730467
electorate	0.0727591
Mozambican	0.0723565
Atlantans	0.0722957
Austrian	0.0722038
Catholic	0.0719578
"home buyer"	0.0717106
Sudanese	0.0716614
Iranian	0.0713828
Muscovite	0.0713482
Kosovars	0.0712834
German	0.0710817
Hawaiians	0.0709253
foreigner	0.0705894
Guatemalan	0.0705703
Dominican	0.0705661
youngster	0.0705525
Malaysian	0.0703933
Somali	0.0703658
"South Koreans"	0.0703405
Iraqi	0.0701584
Salvadoran	0.0700609
"North Koreans"	0.0699964
Cuban	0.0698872
"North Carolinian"	0.0697398
Swiss	0.0697112
Jew	0.069683
"American Jews"	0.0695523
Koreans	0.0695403
Hungarian	0.0694351
Easterner	0.0690687
Swede	0.0688477
moviegoer	0.0686468
countrymen	0.0685897
Armenians	0.068364
Asian-Americans	0.0682551
"married couple"	0.0682379
Algerian	0.0681727
adoptees	0.0680706
Afghan	0.0679975
individual	0.0678174
lawmaker	0.0675977
Bangladeshi	0.0672711
job-seekers	0.0671975
immigrant	0.0670693
homebuyers	0.06686
Japanese	0.0667329
user	0.0667033
registrant	0.0665687
Kuwaiti	0.0665607
Washingtonian	0.0663048
professional	0.0661402
claimant	0.0661204
Zambian	0.066076
laborer	0.0659758
surfer	0.0659015
Pakistani	0.0657208
Frenchmen	0.0657138
pupil	0.0652646
Chinese	0.0651344
schoolchildren	0.0651157
"married woman"	0.0650724
customer	0.0650138
Egyptian	0.0649548
teens	0.064012
participant	0.0638494
Tanzanian	0.0637525
tourist	0.0637336
"heroin addict"	0.0637216
Romanian	0.0636396
"AIDS patient"	0.0636028
visitor	0.0634765
"New York Democrats"	0.0632919
"white woman"	0.0632442
orphan	0.0632276
Kurds	0.0631777
Vermonter	0.0630976
"wage earner"	0.0630866
Democrat	0.0630249
elector	0.0629214
applicant	0.0628971
gambler	0.0627614
Italian	0.0626882
"sports fan"	0.0626543
Moroccan	0.0625807
Lebanese	0.0624832
Bostonian	0.0624132
patient	0.062312
"African Americans"	0.062191
depositor	0.06196
folk	0.061949
"job seeker"	0.0617572
Dane	0.0616718
"East Timorese"	0.0615284
suburbanite	0.0614933
villager	0.0614536
investor	0.0605955
Palestinian	0.0605661
teen-ager	0.0601267
motorist	0.0600404
Argentine	0.0600361
drinker	0.0599933
westerner	0.059964
gamers	0.0598722
migrant	0.0597865
))
(Calipari (desc 2207.94) (sims
Zambrano	0.202842
Schoenfeld	0.19194
Ponciano	0.156946
Ftorek	0.155918
Schottenheimer	0.139995
Muckler	0.137673
Hartsburg	0.136416
Warshaw	0.134761
Westphal	0.134123
DiCicco	0.131049
Tuberville	0.129853
Popovich	0.128924
"Jim Harrick"	0.128046
Cremins	0.126371
Monson	0.123817
Lundberg	0.121129
Aliotti	0.1171
Lambright	0.116956
Carlesimo	0.115851
Donnan	0.114956
Stoneman	0.113924
Gullit	0.112115
Kearin	0.112081
Ruehe	0.111185
Ainge	0.110767
hough	0.110577
Tomey	0.110336
Schmid	0.109808
Cowher	0.107016
Milutinovic	0.105952
Holmgren	0.105474
Tomjanovich	0.105309
Dunleavy	0.105259
Troussier	0.105035
Ikeda	0.104262
Ribbeck	0.103726
Passarella	0.103478
Vogts	0.102519
Casserly	0.101829
Grachev	0.101698
Gullikson	0.100271
Heinrichs	0.0996772
Sununu	0.0981348
Harrick	0.0976504
Jarvis	0.0972822
"Dave Campo"	0.0969854
Doherty	0.0968117
Fleischer	0.0953596
Gailey	0.0946896
"Van Gundy"	0.0946516
Leyland	0.0945002
Erickson	0.0943824
Ruthardt	0.093566
Solis	0.0935184
Daft	0.0933187
Rongen	0.0931668
Hartwig	0.0931271
Fassel	0.0927786
Eizenstat	0.0923541
Hargrove	0.0921282
Ditka	0.091699
Cowens	0.0913825
"Chan Gailey"	0.0913037
Tubbs	0.0908038
Velayati	0.0907418
Zenga	0.0903288
Scioscia	0.0898095
Azizah	0.0895537
Bochy	0.0894682
Wannstedt	0.0891389
Karl	0.0888163
Indyk	0.0879369
"Breda Kolff"	0.0879067
Billick	0.0878596
Calhoun	0.087725
Rooney	0.0877092
Insulza	0.0875561
Rossotti	0.0871972
Keenan	0.0870994
Mariucci	0.086908
Milloy	0.086877
Rodionov	0.0867324
Piniella	0.0865536
Atwater	0.0864977
Godfrey	0.0862976
Martz	0.0859296
Siazon	0.0852926
Sampson	0.0851494
Summitt	0.085012
Graziano	0.0849719
"Glenn Hoddle"	0.0848815
Wilhelm	0.0848265
Hiddink	0.084806
Kessler	0.084757
Jeffers	0.0846927
Wren	0.0844177
Finkel	0.084122
Dunlap	0.083586
Milbury	0.0835843
Klima	0.0835083
McCarron	0.0833383
Slocum	0.083158
Geiger	0.0831365
Waddell	0.0829771
Fulmer	0.0829153
Garcetti	0.0828775
Mendez	0.0827244
Braswell	0.0825709
Clements	0.0825504
Lavin	0.0823337
Layden	0.0821981
Venables	0.0817839
Jacquet	0.0816861
"John Robinson"	0.0816396
Landry	0.0815644
Gillick	0.0813442
Zacarias	0.0813415
Sherrill	0.0811267
Underwood	0.0808342
Hoddle	0.0806118
Sahadi	0.0805477
Alarcon	0.0805019
Beathard	0.0804154
Cooley	0.0800844
ISSEL	0.0800837
Valenzuela	0.0799171
Beckenbauer	0.0796049
Goossen	0.0794768
Constantine	0.0794547
Showalter	0.0794071
Neuheisel	0.0793492
"Van Exel"	0.0788899
Pitino	0.0787678
"Davey Johnson"	0.0786452
Alderson	0.0785103
Bubb	0.0783863
McKeon	0.07832
Constantinescu	0.0782675
Buzek	0.0781988
Advani	0.077941
Switzer	0.0778737
Warne	0.0776839
Conroy	0.0775595
Whitsitt	0.0775506
Rothenberg	0.077499
Madden	0.0774945
Iger	0.0772143
Mandella	0.0771981
Checketts	0.0771478
Franchione	0.0770163
Ebersol	0.0768835
Bowden	0.0768346
Byrdsong	0.0766756
Drexler	0.0766593
Maslyukov	0.0765861
Cowan	0.0764537
Hartley	0.0763256
Hauser	0.0761651
Allard	0.0759855
Sheehan	0.0758094
Shula	0.0757333
"Bora Milutinovic"	0.0755403
"De Soto"	0.0755354
Manley	0.0755185
Jauron	0.0754601
Whipple	0.0753549
"Lou Holtz"	0.0751518
Mendoza	0.0751021
Torre	0.0747076
"La Russa"	0.0745974
Sahnoun	0.0745161
Naumann	0.0744347
Rahal	0.0742691
Kassirer	0.0742474
Wheatley	0.0740483
Regan	0.0740147
Andreychuk	0.0739155
Maldini	0.0739003
Parcells	0.073856
Howe	0.0734592
Ahtisaari	0.0733048
Condit	0.0731745
Singson	0.073169
Stepashin	0.0731199
Diouf	0.0729319
Bodine	0.0728739
Remnick	0.0726462
gentry	0.0726352
"Mike Hargrove"	0.0724668
"Rick Neuheisel"	0.0721563
Meissner	0.0719661
Larkin	0.0719539
Schuerholz	0.0719417
Russo	0.0717408
Hackett	0.0715929
Falk	0.0714984
Haley	0.0712145
Donohue	0.0711785
Groh	0.0711364
Shanahan	0.0710879
))
("Calista Flockhart" (desc 6005.44) (sims
"Michelle Pfeiffer"	0.135654
"Rupert Everett"	0.131106
"Stanley Tucci"	0.12209
"Jeff Goldblum"	0.117148
"Cameron Diaz"	0.115362
"Cate Blanchett"	0.106557
"Claire Danes"	0.103784
"Kevin Kline"	0.0984881
"Christina Ricci"	0.0970336
"Jennifer Love Hewitt"	0.0966059
"Drew Barrymore"	0.095402
"Harrison Ford"	0.0952985
"Susan Sarandon"	0.094444
"Sarah Jessica Parker"	0.0923444
"Jamie Foxx"	0.0917023
"Dennis Quaid"	0.0915852
"Glenn Close"	0.0907154
"Minnie Driver"	0.0880838
"Camryn Manheim"	0.087743
"Meryl Streep"	0.0875172
"James Van Der Beek"	0.0858587
"Geoffrey Rush"	0.0841818
"Will Smith"	0.0834971
"Sarah Michelle Gellar"	0.0823568
"Jodie Foster"	0.0815502
"Jamie Lee Curtis"	0.08081
"Geena Davis"	0.0807088
"Matthew Broderick"	0.0806565
"Salma Hayek"	0.0799197
"AL PACINO"	0.0783019
"Gwyneth Paltrow"	0.0780325
"Leonardo DiCaprio"	0.0772022
"Catherine Deneuve"	0.075827
"Julia Roberts"	0.0743222
"Kenneth Branagh"	0.0739515
"Richard Gere"	0.073774
"Brooke Shields"	0.0733567
"Janet McTeer"	0.0733157
"Melanie Griffith"	0.0723671
"Matthew McConaughey"	0.0723568
"Catherine Keener"	0.0721667
"Ben Stiller"	0.0718074
"Julianne Moore"	0.0717304
"Matt Dillon"	0.0709964
"Halle Berry"	0.0705807
"Johnny Depp"	0.0702742
"Tracey Ullman"	0.0700464
"Tim Allen"	0.0698341
"Tom Cruise"	0.0689495
"Ashley Judd"	0.0686656
"Jennifer Lopez"	0.0681084
"Gillian Anderson"	0.0680937
"Nicole Kidman"	0.0679882
"Billy Bob Thornton"	0.0676811
"Michael J. Fox"	0.0666826
"David E. Kelley"	0.0665425
"Sigourney Weaver"	0.0665283
"Danny DeVito"	0.0660383
"Whoopi Goldberg"	0.0659874
"Reese Witherspoon"	0.0659111
"Vanessa Williams"	0.0656373
"Kelsey Grammer"	0.0655937
"Helen Hunt"	0.0654584
"David Duchovny"	0.0643497
"Winona Ryder"	0.0639127
"Andre Braugher"	0.0638143
"Matt Damon"	0.0637582
"Ben Affleck"	0.0635012
"Christian Bale"	0.0633524
"Edward Norton"	0.0632003
"Holly Hunter"	0.063109
"Ian Holm"	0.063102
"Dennis Franz"	0.06303
"William Hurt"	0.0627165
"Emily Watson"	0.0624167
"Carmen Electra"	0.0621167
"Jeremy Irons"	0.0619546
"Tom Hanks"	0.0607831
"Annette Bening"	0.0606494
"Garry Shandling"	0.0603838
"Jeremy Northam"	0.0601268
"Kevin Costner"	0.059899
DiCaprio	0.0595883
"John Malkovich"	0.0594458
"Sharon Stone"	0.059118
"Roberto Benigni"	0.0589789
"Brad Pitt"	0.0588883
"Kim Basinger"	0.0586602
"Kirsten Dunst"	0.0585324
"David Arquette"	0.0583623
"Hilary Swank"	0.0580691
"Christian Slater"	0.0574619
"Paul Newman"	0.0572824
"Keri Russell"	0.0571493
"Dylan McDermott"	0.0571371
"Penelope Cruz"	0.0565872
"Sally Field"	0.0563304
"Robert Redford"	0.0561903
Paltrow	0.0560774
"Ted Danson"	0.0558601
"Samuel L. Jackson"	0.0553353
"Ian McKellen"	0.0552523
Broderick	0.0551191
"Frances McDormand"	0.0550951
"Jack Nicholson"	0.0549945
"James Woods"	0.0544944
"Steve Martin"	0.0540048
"Kevin Spacey"	0.0537531
"Chloe Sevigny"	0.0536251
"Bill Murray"	0.0535726
"Drew Carey"	0.0535176
"David Hyde Pierce"	0.0532404
"Norm MacDonald"	0.0526798
"Sean Penn"	0.0523261
"Bruce Willis"	0.0522865
"Jessica Lange"	0.0520239
"Vanessa Redgrave"	0.0515659
"Hugh Grant"	0.051531
"Edward Furlong"	0.0509155
"Sela Ward"	0.0509027
Flockhart	0.0508916
"Kevin Bacon"	0.0508072
"Aidan Quinn"	0.0506464
"Elizabeth Taylor"	0.0505875
Gooding	0.0503926
"Uma Thurman"	0.0503766
"Lauren Bacall"	0.0502418
"Pierce Brosnan"	0.0500819
"Ethan Hawke"	0.0499034
"Claudia Schiffer"	0.0498919
"Jimmy Smits"	0.0497278
"Tommy Lee Jones"	0.0497036
"Meg Ryan"	0.0496255
"Liev Schreiber"	0.0496177
"Judi Dench"	0.0493819
"Kathy Bates"	0.0492605
"Jackie Chan"	0.0491025
"Angela Bassett"	0.0490676
"Nathan Lane"	0.0487811
"Goldie Hawn"	0.0487672
"Russell Crowe"	0.0487425
"Heather Graham"	0.0487324
"Courtney Love"	0.0486856
"Jane Fonda"	0.0485945
"Denzel Washington"	0.0485086
"Helen Mirren"	0.04828
"Adam Sandler"	0.0481609
"Keanu Reeves"	0.0479116
"Angelina Jolie"	0.0476844
"William Shatner"	0.047276
"Sean Connery"	0.0471615
Madonna	0.0471045
"Ralph Fiennes"	0.0469278
"John Goodman"	0.046851
"South Lebanese Army"	0.0468371
"Harvey Keitel"	0.046653
"Alec Baldwin"	0.0464182
"Natasha Richardson"	0.0462239
"Sandra Bullock"	0.0461952
"Joe Mantegna"	0.045977
"Juliette Lewis"	0.0459464
"Val Kilmer"	0.0456632
"Robin Williams"	0.0456442
"Kate Hudson"	0.0455766
Braugher	0.0453725
"Liv Tyler"	0.045234
"Omar Epps"	0.0445074
"Robert DeNiro"	0.0441865
"George Clooney"	0.0441529
"Anne Heche"	0.0441392
"Michael Caine"	0.0439814
"Parker Posey"	0.0438703
"Chow Yun-Fat"	0.0438401
"Mark Wahlberg"	0.0433275
"Hidetoshi Nakata"	0.0428631
Roseanne	0.0428187
"John Leguizamo"	0.042803
Kidman	0.0427324
"Oliver Platt"	0.0423718
"Kate Winslet"	0.0422583
"James Gandolfini"	0.0420512
Stiller	0.0420396
"Alfre Woodard"	0.0420112
"Mike Myers"	0.0418699
GERE	0.0417509
Ricci	0.0417301
"Brendan Fraser"	0.0417114
"Natalie Portman"	0.0415864
"Robert Duvall"	0.04158
"Ellen Burstyn"	0.0414467
"Charlize Theron"	0.0412592
"Janeane Garofalo"	0.0411027
"Audra McDonald"	0.0409234
"JOHN TURTURRO"	0.0406421
"Nicolas Cage"	0.0406192
"Joseph Fiennes"	0.0403303
"Woody Harrelson"	0.0402178
"Brian Dennehy"	0.0401235
"Oprah Winfrey"	0.0400616
"Derrick Thomas"	0.0400435
))
(calisthenics (desc 1730.09) (sims
aerobics	0.103161
pushup	0.101404
housework	0.0793398
bicycling	0.0730571
contortion	0.071313
acrobatics	0.0673593
voice-overs	0.0660395
cartwheel	0.0653538
yoga	0.0620149
computation	0.0551877
fieldwork	0.0548965
swordplay	0.054288
penance	0.0534551
self-examination	0.0528179
"civic duty"	0.0518207
heft	0.0501273
jogging	0.0498296
"crossword puzzle"	0.0494601
monde	0.0492128
"fire drill"	0.0491439
exertion	0.048595
pratfalls	0.0481916
weightlifting	0.0479873
cannonball	0.0479012
"cosmetic surgery"	0.0477267
striptease	0.0475468
coursework	0.047493
whiplash	0.0472163
equestrian	0.0471783
"field work"	0.0470003
putsch	0.0462664
arm-twisting	0.0461489
CPR	0.0456143
"ball bearing"	0.0454073
mumbo-jumbo	0.0452259
it.	0.0452085
ballast	0.045154
phonics	0.0446969
"roller skating"	0.0439497
"light touch"	0.0435748
fisticuffs	0.0434695
meanderings	0.0423685
Elf-Aquitaine	0.0422852
Qigong	0.0420259
exercises	0.0419064
cross-fertilization	0.0413234
triage	0.0411783
Promos	0.0411458
dexterity	0.0410157
acuity	0.0403731
physicals	0.0401698
chauvinism	0.0400362
))
(call (desc 197063) (sims
"phone call"	0.188612
"telephone call"	0.160102
request	0.135722
plea	0.131305
proposal	0.128923
message	0.121947
letter	0.121491
comment	0.119958
demand	0.119518
statement	0.118554
criticism	0.116882
appeal	0.115522
suggestion	0.114203
complaint	0.113212
support	0.109025
remark	0.108529
decision	0.105922
warning	0.104785
visit	0.103196
recommendation	0.101256
pressure	0.101117
question	0.0989103
speech	0.0971649
attack	0.0970569
move	0.0959753
email	0.0949566
plan	0.0945507
response	0.0936859
report	0.0928237
push	0.0923875
offer	0.0916843
claim	0.0906095
announcement	0.0904496
action	0.0896883
protest	0.0896586
threat	0.0876119
need	0.0869922
attempt	0.0868751
initiative	0.086531
word	0.086383
effort	0.086302
invitation	0.0855691
reaction	0.084221
fax	0.0842119
pledge	0.0841959
vote	0.0836319
argument	0.0835378
information	0.083112
calling	0.0827022
accusation	0.0816882
endorsement	0.0813815
inquiry	0.0810274
signal	0.0808591
AD	0.0808517
order	0.0806306
case	0.0801398
challenge	0.0798323
caller	0.0797179
idea	0.078976
advice	0.078666
strike	0.0786559
testimony	0.0784447
Mail	0.0780353
talk	0.0779538
Declaration	0.0778268
service	0.077496
opposition	0.0774918
allegation	0.0774189
change	0.0772371
news	0.0771344
promise	0.0769105
query	0.0768695
application	0.0763224
assertion	0.0762024
outcry	0.0758803
meeting	0.0755543
trip	0.0755529
incident	0.0750318
concern	0.0750152
condemnation	0.074658
objection	0.0745158
campaign	0.0743221
petition	0.0741154
desire	0.0739842
attention	0.0736755
conversation	0.0735803
cry	0.0733825
money	0.0733621
assurance	0.0732962
play	0.0732291
commitment	0.0731578
measure	0.072534
number	0.072458
clamor	0.0724206
activity	0.0719292
lawsuit	0.0717789
directive	0.0713658
approval	0.0711463
return	0.0711094
data	0.0711084
thing	0.0710439
policy	0.0708117
access	0.0707598
phone	0.0706363
address	0.0706334
note	0.0705817
rejection	0.0705341
donation	0.0702471
gift	0.07012
apology	0.070115
bill	0.0698733
charge	0.0698377
ruling	0.0698148
voice	0.0697914
interview	0.0697716
explanation	0.069267
overture	0.0689572
agreement	0.0689254
document	0.0689241
discussion	0.0689061
deal	0.0686599
help	0.0686212
opinion	0.0686179
instruction	0.0685975
test	0.0683613
program	0.0682482
strategy	0.0682276
debate	0.0680833
approach	0.0679406
work	0.0676642
tactic	0.0674425
flight	0.0673986
exchange	0.0672535
prediction	0.0672445
mistake	0.0671815
opportunity	0.0671814
issue	0.0671208
behavior	0.0669989
violence	0.0667364
performance	0.0667126
chance	0.0666835
praise	0.0665943
story	0.0664466
contribution	0.0663498
problem	0.0663444
fight	0.0663264
answer	0.0663107
that	0.066264
act	0.066224
position	0.0661397
failure	0.0660907
appearance	0.0660377
backing	0.0659505
sign	0.0659499
finding	0.0658278
wish	0.0657546
check	0.0652253
hope	0.0651572
account	0.0649646
resolution	0.0649351
stance	0.0649287
memo	0.0648052
condition	0.0647871
payment	0.0647866
Rally	0.0647439
intervention	0.0646918
resignation	0.0646724
reason	0.0646691
speculation	0.0646432
advertisement	0.0646354
step	0.0645332
view	0.0645293
assault	0.0645059
refusal	0.0644089
arrest	0.0643113
rhetoric	0.0642319
result	0.063943
delay	0.0639192
situation	0.0639106
time	0.063888
procedure	0.063662
traffic	0.0636271
appointment	0.0632759
bid	0.0632018
way	0.0631681
coverage	0.0631512
transaction	0.0631028
interest	0.0630361
event	0.0629087
drive	0.0628505
commercial	0.0628433
release	0.0623754
sentiment	0.0623709
mandate	0.0623483
demonstration	0.0620771
people	0.0620515
reference	0.0619418
assessment	0.0618975
customer	0.0618737
violation	0.061742
))
("call girl" (desc 2092.68) (sims
"private detective"	0.0826411
prostitute	0.0758073
"divorce lawyer"	0.0749375
pedophile	0.0732978
courtesan	0.0659127
"Gennifer Flowers"	0.0650629
hustler	0.0644519
stripper	0.0617122
Hooker	0.0612846
"Tony Soprano"	0.0590304
gumshoe	0.0570519
"literary agent"	0.0560647
"married man"	0.0555433
bullfighter	0.0549365
"private eye"	0.0545562
"interior decorator"	0.0539918
prizefighter	0.0534756
pimp	0.0527894
decoder	0.0527586
burglar	0.0522273
"art dealer"	0.0520885
"game warden"	0.0513595
pinkie	0.050448
"J.D Salinger"	0.0503662
psychotherapist	0.0499549
busboy	0.0496969
televangelist	0.0495956
"telephone book"	0.0488498
socialite	0.0488051
navel	0.048734
Englishwoman	0.0486081
waitress	0.0482936
masseuse	0.0482275
"security consultant"	0.0482275
exterminator	0.0467023
"Monica S. Lewinsky"	0.0466718
"married woman"	0.0464713
multimillion	0.0461668
"consulting company"	0.0458241
suburbanite	0.0457212
schooler	0.0456521
bookmaker	0.0456037
"repertory company"	0.0455956
lowlife	0.0454122
"con artist"	0.0451992
Pol	0.0449793
"management consultant"	0.0449787
fishbowl	0.0448892
decorator	0.0446536
"volleyball player"	0.0444687
gunrunning	0.0443207
steed	0.044279
impresario	0.0442173
"interior designer"	0.044181
"census taker"	0.0437911
"heart surgeon"	0.0436693
madam	0.0433906
Contreras	0.0433717
Scripps	0.0433277
bloke	0.0432184
Arizmendi	0.0430905
"medical student"	0.0429512
"fashion designer"	0.0429436
"Japan Airlines"	0.0428737
Electrolux	0.0423376
leper	0.0419108
deliveryman	0.0417315
dominatrix	0.0415221
"The Sopranos"	0.041429
accretion	0.041373
bodybuilder	0.0413522
knickknacks	0.0413371
Multistate	0.0411984
psychoanalyst	0.0409998
"Al Capone"	0.0409881
"phone book"	0.0408899
pickpocket	0.040654
"real estate broker"	0.040605
ex-con	0.0405046
stuntman	0.0403489
womanizer	0.0402127
Pusher	0.0402051
housekeeper	0.0400569
"house painter"	0.0400476
"plastic surgeon"	0.0400339
))
("call waiting" (desc 1845.54) (sims
"caller ID"	0.295055
ADSL	0.0870233
personalization	0.0858516
"telephone directory"	0.0852527
ISDN	0.0841961
telephony	0.079978
"money order"	0.0760811
browsing	0.0741641
filtering	0.0692007
telemarketing	0.0685717
DSL	0.066572
"calling card"	0.0662067
videophone	0.0657664
"electronic mail"	0.0654361
Webcam	0.0648692
forwarding	0.0646558
PDA	0.0623522
connectivity	0.0598868
pager	0.0594339
"line of products"	0.0586913
"fresh food"	0.0583046
"wireless telephone"	0.0578282
"cable television"	0.0576687
postage	0.0576176
broadband	0.0574219
"phone service"	0.0563038
authentication	0.0556218
add-on	0.0547446
Hotmail	0.0527106
vasectomy	0.0523516
analog	0.0521678
dictation	0.0516401
"road runner"	0.0502884
multichannel	0.0500525
"communications service"	0.0500438
Juno	0.0498323
ICQ	0.0497258
"Microsoft Network"	0.0489882
"delivery service"	0.0487865
playback	0.0481203
"data communication"	0.0473361
CompuServe	0.0470163
"data entry"	0.0469435
vending	0.046764
NetZero	0.0467065
babysitting	0.0452131
mammography	0.045135
homepages	0.0447014
Reel.com	0.04436
"Windows CE"	0.0440825
"Evening Standard"	0.0435114
APTV	0.0429562
beeper	0.0428913
"phone system"	0.0427236
Porn	0.0424496
business-to-business	0.0422122
WebTV	0.0421318
cremation	0.0420466
ATHOME	0.0419495
"gambling casino"	0.041687
"word processing"	0.0414779
"cellular telephone"	0.0414146
BLUETOOTH	0.0411302
ExciteAtHome	0.0409236
"fax machine"	0.0408541
))
(Calla (desc 1088.77) (sims
Caruso	0.100047
"Deutsche Grammophon"	0.0847273
Elgar	0.082159
Pavarotti	0.0779887
Nijinsky	0.0743552
O'Keeffe	0.0725235
Prima	0.0694002
Mahler	0.0683629
Presley	0.068149
"morning glory"	0.0596855
Hazzard	0.0583519
Stroganoff	0.0566699
"computer operation"	0.0565991
"Billie Holiday"	0.0565684
"first CD"	0.0542885
"slide rule"	0.0540234
Kirov	0.0540014
cappella	0.0523999
"Columbia Records"	0.0522438
kitschy	0.0514146
"wide screen"	0.0510841
counterculture	0.0507539
Americanized	0.0498097
ReplayTV	0.0494373
cantata	0.0491078
"Johan Cruyff"	0.048942
Muzak	0.0488026
Mayan	0.0485111
harpsichord	0.0484545
"Elvis Presley"	0.0483806
Kimbell	0.0478778
"tax avoidance"	0.0475995
late-'@@s	0.0473025
Khalil	0.0472828
Gachet	0.0471632
"grim reaper"	0.0466829
Hendrix	0.0462158
Spector	0.046131
sewing	0.0457511
"Gilbert and Sullivan"	0.0454202
Stockbridge	0.0445959
Stubbs	0.0443281
Caen	0.0443253
spoken	0.0439681
"German language"	0.0438052
"Science City"	0.0429526
"Cliffs Notes"	0.0426111
corpus	0.0424092
Hildegard	0.042332
"this @@@@"	0.0420379
ATTLEBORO	0.0418746
MacDonald's	0.0414941
"Marlene Dietrich"	0.0411818
Balanchine	0.0411812
Pu	0.0411474
troubadour	0.041111
"Louis Armstrong"	0.0410905
brocade	0.0410342
ASO	0.0410167
Prado	0.0409456
tailoring	0.040894
Orpheus	0.040736
Eames	0.0407109
kitty	0.0407007
"Marvin Gaye"	0.0406071
Beatle	0.0404796
genealogist	0.0404433
Lindbergh	0.0403352
Bigfoot	0.0401672
))
(Callaghan (desc 1418.35) (sims
Blackthorne	0.137717
Kagalovsky	0.133529
Penders	0.132933
Harris-Lewis	0.128329
McGill	0.12496
Elhage	0.119487
Coia	0.115483
Hage	0.11474
Hiett	0.114284
"Juan Miguel"	0.112896
Kurth	0.111527
Bakaly	0.111373
Lileikis	0.110859
Hamid	0.110051
Giacchetto	0.109654
Ribbeck	0.109221
Hersh	0.109145
Shayler	0.107671
Mukora	0.106994
Taubman	0.105591
Neulander	0.105254
Baucus	0.105243
Hanna	0.105236
Mikhailov	0.105087
"Russell Peeler"	0.10508
Manbar	0.104102
Nkabinde	0.103688
"Al Fayed"	0.10308
Quackenbush	0.10145
Piggie	0.100676
Warshaw	0.100127
"El Hage"	0.0995934
Whitacre	0.099396
Ramseys	0.098901
Heinrichs	0.0981533
Hensley	0.0980679
Paciello	0.0979084
Demjanjuk	0.0977204
Jewell	0.0970163
Nikitin	0.0967616
Borodin	0.0962678
Talebi	0.0962491
Swango	0.0957768
Yoo	0.0955631
"De Klerk"	0.0955346
Ponciano	0.0953681
Qureshi	0.0949284
Ganga	0.0949061
Yadav	0.0942118
Cianci	0.0937452
Fassett	0.0936783
Haouari	0.0936152
Fagan	0.0933657
Kiareldeen	0.0930516
Sanan	0.0923599
AUM	0.091922
Boesak	0.0915235
LeFave	0.0914799
Baumann	0.0906484
Mudge	0.0906044
Hoke	0.0904082
Baumhammers	0.0902503
Jenoff	0.0900654
Tarver	0.0896868
Einhorn	0.0893621
Regan	0.0888646
Mokhehle	0.0882854
Khalil	0.0880687
Ritter	0.0879868
"Juan Miguel Gonzalez"	0.0878564
Craxi	0.0877911
Imperatori	0.0875737
CAA	0.0873552
Passarella	0.0869206
Coelho	0.0869163
Schottenheimer	0.0867286
hale	0.0864331
Weizman	0.0859336
Eappens	0.0858741
Gullit	0.0858225
Protas	0.085115
Shinn	0.0850622
Espinoza	0.0849922
Faget	0.084726
Camacho	0.0847196
Isner	0.0846254
Yastrzhembsky	0.0845522
Leghari	0.0838942
Milbury	0.0838226
Kalejs	0.0836449
Sakic	0.083189
Kromah	0.0830487
Kulikov	0.0829742
Slatkin	0.0827218
Venables	0.082715
Tuberville	0.0826639
Troussier	0.0826484
Wilhelm	0.0826398
Jarrell	0.0824223
Stayner	0.0822088
Tran	0.0821645
Vasquez	0.0820547
Sherrill	0.0819719
Ingraham	0.0819376
Romanowski	0.0810487
Katzenberg	0.0809497
Symington	0.0808881
Gutman	0.0808465
Karr	0.0803804
Paxon	0.0803659
Garofalo	0.0803433
Zarkin	0.0802396
Fuhrman	0.0800758
Biskind	0.0799652
Mattysse	0.0797464
"Bora Milutinovic"	0.0797171
Lombardi	0.0794536
Kurtz	0.0793326
Cui	0.0793121
Vogts	0.0792326
Bruton	0.0792268
Feldman	0.0790257
Sweeting	0.079
Bellush	0.0788005
Ershad	0.0787733
"Marianne Gingrich"	0.078743
Kazhegeldin	0.0786647
Abernathy	0.0786181
Napolitano	0.0785783
Blum	0.0783136
Papon	0.0782135
Lindland	0.0780983
Ickes	0.0780638
Cleary	0.0779068
Welch	0.0779013
Trischitta	0.0776915
Haskins	0.0775473
"Cindy McCain"	0.0775069
Finkel	0.0773239
"Albert Pirro"	0.0773017
Hiddink	0.0770031
Maag	0.0768978
Lazaro	0.0767404
Sebaggala	0.0767273
Mullen	0.0766995
Rivlin	0.076525
Bolger	0.0764731
Drabinsky	0.0764609
Murr	0.0762924
Mackey	0.0761015
Brock	0.0758722
Havelange	0.075838
Bhutto	0.0750546
Druckenmiller	0.0749331
Rashid	0.0747799
Donahue	0.0744149
Gritz	0.0743612
"Patsy Ramsey"	0.0741329
Aleman	0.0740232
Holmgren	0.0740177
Galindo	0.0740157
Samper	0.0739644
Mapes	0.0738561
Hirschfeld	0.0737378
Goossen	0.0736387
Villanueva	0.0735926
Wetherell	0.0735268
Berenson	0.0734994
Willard	0.0733607
Espy	0.0731129
Wiese	0.0729848
Lind	0.0729672
Shaffer	0.072959
Kwasniewski	0.0729177
Brownlee	0.0728471
Kaczynski	0.0727198
McDermott	0.0726565
Cubas	0.0726077
McWilliams	0.0724877
McGreevey	0.0724566
Dokmanovic	0.0722947
Arroyo	0.0720075
Layden	0.0718247
Lazarenko	0.0717801
Naumann	0.0717633
Reimer	0.0716211
Tong	0.0714682
McCray	0.0714596
McGinn	0.0713615
Skakel	0.0712025
Fieger	0.071188
Agca	0.0711443
Haughey	0.071043
Sharma	0.0706662
Lipstadt	0.0706424
Coe	0.0705452
Sheppard	0.0702877
ISSEL	0.0702733
"Perez Balladares"	0.0701009
Joklik	0.0700917
))
(Callahan (desc 2600.32) (sims
Northup	0.176801
Napolitano	0.175018
Goss	0.146876
COYNE	0.140214
Moakley	0.139274
Delahunt	0.135598
Gilman	0.132529
Waxman	0.13228
Menendez	0.129724
McIntyre	0.127805
McInnis	0.12776
Nadler	0.124589
Danner	0.12399
Meehan	0.123508
Doggett	0.118437
Chabot	0.118387
Hobson	0.116612
McHugh	0.116591
Weldon	0.11536
Isakson	0.115243
Engel	0.114966
Berman	0.111412
Meeks	0.111382
Canady	0.110685
Linder	0.110299
Bliley	0.109918
Capps	0.109839
PITTS	0.108854
Crowley	0.108552
Condit	0.108108
Klink	0.107622
Shulman	0.106486
Larson	0.106428
Portman	0.103895
Lowey	0.103409
Phelps	0.102844
Dingell	0.102829
Markey	0.102568
Pelosi	0.101908
Latham	0.101496
Goode	0.0995451
Schaffer	0.09933
Royce	0.0992017
Moran	0.0986738
Brazile	0.0977227
Reyes	0.0973274
Dooley	0.0972913
Pickett	0.0965908
Thurman	0.0960885
Deutsch	0.0957447
Metcalf	0.0955789
Rogan	0.0953002
McNulty	0.0948553
Greenwald	0.0945757
Tauzin	0.0941701
Levin	0.0938864
Packard	0.0932492
McKeon	0.0932348
Serrano	0.0931112
granger	0.0928449
Sherman	0.091904
Leach	0.0916998
Rangel	0.0916031
McCollum	0.0914043
bock	0.0894645
"Tony Coelho"	0.0893488
Costello	0.0887317
Coelho	0.087807
McGovern	0.0868884
Sawyer	0.0866648
Kasich	0.0864394
Cleary	0.0863831
Barrett	0.0860711
Gutierrez	0.0858031
Wasserstein	0.0857602
mica	0.0854464
Sheehy	0.0850557
Peterson	0.0849744
SHUSTER	0.0846127
Houghton	0.0844599
Neal	0.0841331
Farrell	0.0835718
Lowry	0.0833442
Pryce	0.0828418
Chambliss	0.0826609
Arbour	0.0811784
Mckee	0.0807159
Farr	0.0804438
Nasrin	0.0799759
Cummings	0.0797828
Strickland	0.0795795
Nebiolo	0.0793589
Rosenthal	0.0788311
Watkins	0.0779397
Betts	0.0773433
Rivlin	0.0771868
Largent	0.0766084
Dixon	0.0764254
fowler	0.074745
Sweeney	0.0745115
O'Sullivan	0.0745024
Koop	0.0743854
Feldman	0.0737679
Rowley	0.0734214
Taymor	0.0731854
McIntosh	0.0731841
Kagalovsky	0.0731837
Kolbe	0.0726014
Wyden	0.0725194
Hickman	0.0722914
Carmichael	0.072148
McDermott	0.0721199
Sanford	0.0718532
Evans	0.0717111
Jenkins	0.071426
Molinari	0.071247
Wolff	0.0710981
McDonnell	0.0710581
Preston	0.0709935
Sommer	0.0709504
Schell	0.0708815
Wendt	0.0704823
Zarb	0.0703007
Lipinski	0.0702902
Vasquez	0.0701649
Velazquez	0.0699304
Donahue	0.0698649
Parsons	0.0697307
Atkinson	0.069604
Ruehe	0.0696026
Ortiz	0.0695494
Tilberis	0.0694225
FAWCETT	0.069417
Muller	0.069378
O'Hara	0.069182
Eisenman	0.0691754
Hanley	0.0691334
Dungy	0.0690372
Jaffe	0.0686828
Boyle	0.0683837
Verney	0.068201
Padilla	0.067846
Hartley	0.0677038
Garber	0.0675988
Jensen	0.0672595
Hecht	0.0672116
Wellstone	0.0671224
Oliveira	0.0669774
Doherty	0.0669377
Aquino	0.0668758
Alioto	0.0668371
Maloney	0.0668087
Torres	0.0667852
Knapp	0.0667545
Swenson	0.0667325
burr	0.0663979
Samuelson	0.0663257
Sheedy	0.0662845
Corcoran	0.0662593
Mucha	0.0662499
"McCaughey Ross"	0.0659956
Petersen	0.0655779
Weiner	0.0653566
Biden	0.0653298
Doyle	0.0648305
Burnett	0.0647033
Cox	0.0645835
hodgson	0.0645522
Villar	0.0645272
Scruggs	0.0644535
Snowe	0.0644086
Owens	0.0643809
Fiorina	0.0639749
"Jeff Sessions"	0.0638916
Sherwood	0.063788
Midler	0.0637831
Markovic	0.0637232
Jarvis	0.0636728
Hayes	0.0634441
Orton	0.0633719
Pape	0.0632189
McGrath	0.0632166
Bono	0.0631626
Baer	0.0628796
Cunningham	0.0628766
Madden	0.0626664
Quinn	0.0626353
Tharp	0.0625751
Landau	0.0625267
Dowd	0.0624334
Britton	0.0623996
Gillespie	0.0621819
Arron	0.062083
Kyl	0.0619009
Mei	0.0618867
Baum	0.0618737
Kennard	0.0617905
Sanchez	0.0617646
Ashrawi	0.061748
Greenwood	0.0616493
))
(Callaway (desc 3572.25) (sims
Titleist	0.128902
Spalding	0.116623
TYCO	0.0923765
VENATOR	0.0902907
McKesson	0.090017
CellPro	0.0882475
Verney	0.0869917
Priceline	0.086876
"J&AMP;J"	0.0866179
Ganassi	0.085172
Newhouse	0.0843502
Genentech	0.0843054
AutoNation	0.0842158
Edelstein	0.0840869
Sunbeam	0.0838584
Gillette	0.0838246
Honeywell	0.0836343
Seagate	0.0832964
Pitney	0.0832192
"P&AMP;G"	0.0821738
Mattel	0.0821395
RJR	0.0819887
Bronfman	0.0814959
Raytheon	0.0813196
Ping	0.081177
UAL	0.0809285
GPU	0.080535
Humana	0.0803367
"Defense Agency"	0.0798918
Bridgestone	0.0797532
NIKE	0.0788312
"Pacific Century"	0.0784818
Maldini	0.0783296
ENTERGY	0.0782914
Hirschfeld	0.0782136
Roush	0.0781823
Rudenstine	0.0781157
AlliedSignal	0.0777587
Reebok	0.0770186
IAI	0.07696
Crichton	0.0766504
Cleese	0.0762454
HP	0.0761401
Pepsico	0.0759949
Milbury	0.075846
EMC	0.0757125
Summitt	0.0749496
Mikhailov	0.0745499
"Con Ed"	0.0744525
Fagan	0.0744374
GANNETT	0.0743407
Perisho	0.0740281
Caldera	0.0738654
Bulatovic	0.0737849
Starwood	0.073562
Halloran	0.0734187
Felton	0.0730199
"Al Fayed"	0.0728611
Kellogg	0.0727923
Pfizer	0.0726129
Livent	0.072319
Ingram	0.072274
EOHR	0.0722324
Providian	0.0720369
Harris-Lewis	0.0720209
VW	0.0719175
Zeneca	0.071862
Inman	0.0718395
"HBO &AMP; Co."	0.0713355
MLB	0.071236
Kessler	0.0710283
CAA	0.0710032
Vogel	0.0707122
ENTREMED	0.0705146
Tsvangirai	0.0703291
estes	0.070289
"De Klerk"	0.0701816
Napolitano	0.0699264
Caddell	0.0698979
Gutman	0.069569
Cendant	0.0694382
Ono	0.0694183
Roberds	0.0692045
Swanson	0.069202
Shinn	0.0690679
Lilly	0.0689257
Biogen	0.0687988
Margolis	0.068759
Priceline.com	0.0687206
Compaq	0.0686967
"American Home"	0.0686629
MiniMed	0.06866
Grossman	0.0686561
Amgen	0.0685267
Overnite	0.0684338
Ftorek	0.0684019
Sheehy	0.0683517
Hancock	0.0681555
Bustamante	0.0680014
Neulander	0.067833
Celera	0.0677879
Marketspan	0.067738
Darnell	0.0676952
Pennington	0.067607
"Dow Corning"	0.0675835
Delphi	0.0675478
Kodak	0.0675174
RIAA	0.0674672
Dion	0.0673312
"L.L Bean"	0.0671994
TRW	0.0671711
"Stride Rite"	0.0670403
Doyle	0.0670248
Swenson	0.0670191
"PG&AMP;E"	0.0669618
Zuckerman	0.066947
Jacquet	0.0669076
"Pac Bell"	0.0668372
Taft	0.0667281
Joklik	0.0667248
Globalstar	0.0667038
DEP	0.066681
Nunez	0.0664874
Corel	0.0664255
Wyly	0.0663545
Halliburton	0.0661953
Schwab	0.0661474
"Sara Lee"	0.0661371
Colangelo	0.0660985
Fleischer	0.0660606
Babcock	0.0660567
Healtheon/WebMD	0.066014
Haskins	0.0659293
Autodesk	0.0659245
Cowan	0.0656762
Imperatori	0.0656752
Abbott	0.0656072
Paxson	0.0655791
"administration official"	0.0655768
Cornyn	0.0654523
SmithKline	0.0654266
Intergraph	0.065336
Occidental	0.0650864
Enron	0.0650279
Sepracor	0.0650229
Schmid	0.0649585
Cleary	0.0649492
Polaroid	0.0649032
"Thermo Electron"	0.0647513
Xerox	0.0645952
FTC	0.0645768
EEOC	0.0645559
Dunleavy	0.0642999
"BP Amoco"	0.064275
Masur	0.0640568
Merrill	0.0640143
Berenson	0.0639958
AIG	0.063913
Rendell	0.0638281
Duchovny	0.0638112
Hess	0.0638044
wrecker	0.0637666
Woodard	0.0636946
Guzman	0.0636717
Ge	0.0636553
Halberstam	0.0636452
Bottenfield	0.0635862
Copley	0.0635807
Hartsburg	0.0635041
BofA	0.0634626
Sinclair	0.0634537
McGregor	0.0634201
CCE	0.0633677
Donnelly	0.0632471
"Israeli Foreign Ministry"	0.0632154
Liao	0.0632105
ALZA	0.0630682
Huizenga	0.0630296
Schmidt	0.0630134
Gillick	0.0628835
Gillespie	0.0628225
Goodyear	0.0628016
PETA	0.0627827
Geiger	0.0627606
AHP	0.0627585
Unilever	0.0625985
"De Beers"	0.0625938
Arum	0.0625937
Silverstein	0.0625088
Coelho	0.062486
McGuire	0.0624382
Sharpton	0.0624204
Pirro	0.0623194
Broadcom	0.0622996
Echols	0.0622572
Pratt	0.0621325
Kurtz	0.062119
Mahomes	0.0621067
Gilligan	0.0620072
Hinckley	0.0618985
))
("Callaway Gardens" (desc 1530.4) (sims
Pinehurst	0.0860809
"Club Med"	0.0853194
"LA COSTA"	0.0716339
"Walt Disney World"	0.0701198
"Pleasant Valley"	0.067234
"city university"	0.0633112
par-@@	0.0613658
Greenbrier	0.056684
"Mandalay Bay"	0.0544468
Hakuba	0.0533549
lakeside	0.0524353
"Olympic Club"	0.0518151
Hyatt	0.051798
"Deer Valley"	0.0504484
NHIS	0.0497741
Eastbourne	0.0496175
"Lambeth Conference"	0.048915
"Camp Pendleton"	0.0472707
"Players Championship"	0.0468524
Kemper	0.0461635
"Nagano Winter Olympics"	0.0461068
"Sahalee Country Club"	0.0457784
"Wye River"	0.0457295
"Le Cirque @@@@"	0.0456612
"Centennial Olympic Games"	0.0451575
"Sears Point"	0.0448816
"Watkins Glen"	0.0432392
Candiotti	0.0422359
"Rocky Mountain"	0.0420332
"toll plaza"	0.0416154
"Manhattan Beach"	0.0414888
Riviera	0.0410953
"Wye Plantation"	0.0407411
Sheraton	0.0406853
Halle	0.0403732
Sipadan	0.0403417
Valderrama	0.0401306
))
(caller (desc 29180.2) (sims
customer	0.110203
listener	0.104353
Reader	0.101235
user	0.0968497
"phone call"	0.0919112
constituent	0.0911839
traveler	0.088463
consumer	0.0872998
client	0.0868108
shopper	0.0865643
"telephone call"	0.0844938
homeowner	0.0838978
viewer	0.0831112
visitor	0.0831064
guest	0.0823013
fan	0.0812197
"letter writer"	0.0790826
buyer	0.0786401
parent	0.0781093
subscriber	0.0773579
questioner	0.0767841
reporter	0.0766256
sender	0.0762473
passenger	0.0762222
resident	0.0759615
motorist	0.075868
patient	0.0754167
lawmaker	0.0745165
donor	0.0741479
student	0.0739684
applicant	0.073464
interviewer	0.0720381
journalist	0.0719273
someone	0.0716849
juror	0.0711247
person	0.0710207
patron	0.0698561
voter	0.0696545
recipient	0.0694552
spectator	0.0692967
employee	0.0684318
folk	0.0680306
surfer	0.0676744
owner	0.0674624
advertiser	0.0667844
participant	0.0667827
critic	0.0666084
contestant	0.0665998
protester	0.0663368
relative	0.0659032
stranger	0.0658584
senator	0.0653478
parishioner	0.0650784
villager	0.0650753
worker	0.0650251
legislator	0.0646876
"New Yorker"	0.0643113
friend	0.064169
employer	0.0638872
commentator	0.0636416
colleague	0.0635484
investor	0.0631595
tourist	0.0628891
doctor	0.0625871
congressmen	0.0625051
staffer	0.062454
commuter	0.0623166
physician	0.0622373
informant	0.0619389
inmate	0.0618782
pilot	0.0615368
delegate	0.0614578
citizen	0.0611617
"business leader"	0.0610391
demonstrator	0.0609367
mourner	0.0605048
"family member"	0.0604337
"staff member"	0.0604272
activist	0.0604199
individual	0.0601335
"council member"	0.0600005
respondent	0.0599815
politician	0.0599076
farmer	0.0598834
teacher	0.059706
telemarketers	0.0596506
"flight attendant"	0.0595993
co-worker	0.0595969
taxpayer	0.0595939
operator	0.059271
everyone	0.0592082
scientist	0.0588854
supporter	0.0587511
Republican	0.0587072
trader	0.0584292
driver	0.0582758
audience	0.0580954
panelist	0.0579882
officer	0.0578161
MP	0.057743
seller	0.0576248
kid	0.0575452
public	0.0572656
anyone	0.0572586
youngster	0.0571889
congregants	0.0569804
onlooker	0.0568218
vendor	0.0567664
"union member"	0.0565642
angler	0.0565502
vacationer	0.0564503
nurse	0.056443
Fishermen	0.0563813
exhibitor	0.0563537
interrogator	0.0559787
immigrant	0.0559677
"young man"	0.0557911
environmentalist	0.0557842
writer	0.055742
broker	0.0555088
bidder	0.0554441
victim	0.0554414
executive	0.0554066
contributor	0.0553457
broadcaster	0.0552744
"job seeker"	0.0552215
pundit	0.0550806
neighbor	0.0549616
"federal official"	0.0549408
"young woman"	0.0547389
"property owner"	0.0547369
Democrat	0.0545763
plaintiff	0.0544323
lawyer	0.0542596
investigator	0.0542237
Mexican	0.0540333
prosecutor	0.054014
dispatcher	0.053993
dealer	0.0539897
"faculty member"	0.0539548
gambler	0.0539169
merchant	0.0538843
teen-ager	0.0537603
Israeli	0.0535827
refugee	0.0535815
"committee member"	0.0535486
evacuee	0.0534719
author	0.0534544
Beijingers	0.0534261
agent	0.0533738
Iranian	0.0533187
adult	0.0532374
hacker	0.0530829
sailor	0.0530189
Hijacker	0.0529899
moviegoer	0.0528511
dad	0.0527141
Hunter	0.0525073
acquaintance	0.0523434
sufferer	0.0523108
"travel agent"	0.0523066
athlete	0.0522799
rabbi	0.0522511
well-wisher	0.0521758
migrant	0.0521145
attendees	0.0520882
observer	0.0520578
email	0.0520278
collector	0.0519763
Cuban	0.0519512
foreigner	0.0518263
prisoner	0.0517304
"home buyer"	0.0516872
volunteer	0.0516732
firefighters	0.0515252
attacker	0.0514428
rider	0.0514285
"elected official"	0.0514125
correspondent	0.0513998
borrower	0.0513979
priest	0.0512476
Texan	0.0511525
reviewer	0.0511405
smoker	0.0511282
aide	0.0511177
filmmakers	0.0510763
retailer	0.0510466
policyholder	0.0510399
skier	0.0509514
analyst	0.0509491
diner	0.0509229
landowner	0.0508575
flier	0.0508522
banker	0.0508398
waiter	0.0508111
businessmen	0.0507698
defendant	0.0507632
classmate	0.0507441
outsider	0.0506464
everybody	0.0506232
))
("caller ID" (desc 3543.11) (sims
"call waiting"	0.295055
"electronic mail"	0.112618
Hotmail	0.112112
pager	0.112056
WebTV	0.101708
beeper	0.100467
DSL	0.0995785
led	0.0982018
videophone	0.0966169
"fax machine"	0.0964652
ID.	0.0958405
GPS	0.0924228
"Palm Pilots"	0.0918775
"hand-held computer"	0.0878727
"night vision"	0.0878382
add-on	0.0870684
telephony	0.0870515
playback	0.0861141
filtering	0.085929
SDH	0.0855079
"Palm Pilot"	0.0852731
CDMA	0.0848355
modem	0.0845383
"data processing"	0.0841305
forwarding	0.0835379
"data communication"	0.0824611
PDA	0.0809788
E-ZPass	0.0809249
converter	0.0807865
pagers	0.0802267
browsing	0.0795344
"local area network"	0.0783441
Encryption	0.0783388
DirecTV	0.0776926
beepers	0.0773898
ReplayTV	0.0767665
Filtration	0.0767584
TiVo	0.0764208
personalization	0.0763481
"money order"	0.0762907
"cellular telephone"	0.0757697
"electronic warfare"	0.0751342
"Microsoft Network"	0.0747355
"cable television"	0.073728
ISDN	0.0725323
"calling card"	0.0716686
analog	0.0713488
BLUETOOTH	0.0712264
telemarketing	0.0686734
ICQ	0.0682595
FireWire	0.0678864
"laptop computer"	0.0670372
aero	0.0664386
inhaler	0.0655089
"computer hardware"	0.0653245
desktop	0.0650553
"cellular phone"	0.0648644
"septic tank"	0.0647117
"Palm VII"	0.0645845
fingerprinting	0.0644608
CompuServe	0.0640852
cellphone	0.0640158
"Alta Vista"	0.0637919
Wheaties	0.0636356
broadband	0.0634097
Webcam	0.062786
"color television"	0.0624968
"wireless telephone"	0.0622867
"word processing"	0.0617782
Internet-based	0.0616561
telemedicine	0.0613641
carnivore	0.0613387
Midi	0.0612854
ATHOME	0.0609309
vending	0.0605937
intranet	0.060474
"solar power"	0.060361
CRT	0.0601408
"telephone directory"	0.0598444
"nursing care"	0.0597512
walkie-talkie	0.0593223
tripod	0.059255
GSM	0.0591202
purification	0.0591015
ADSL	0.0590718
intercom	0.058782
suction	0.0587144
"fiber optics"	0.0584729
navigation	0.0584268
"Real Networks"	0.0583813
WAP	0.058143
dictation	0.0579999
wireless	0.0576056
"phone service"	0.0574634
"optical fiber"	0.0574245
"Windows Media Player"	0.0572211
hand-held	0.0572199
analogue	0.0568146
"Ask Jeeves"	0.056371
automation	0.0563307
ultrasound	0.0560427
directory	0.0556302
avionics	0.0555611
imaging	0.055541
MSN	0.0554147
SCSI	0.0552872
RU-@@@	0.054751
Crayola	0.0546855
multimedia	0.0546137
mammography	0.0545766
"portable computer"	0.0545049
sensing	0.0540848
"fire control"	0.0539806
"clock radio"	0.0538571
retrieval	0.0537445
HDTV	0.0537286
"CD player"	0.0536854
atm	0.0536195
locking	0.0529186
"global positioning system"	0.0529086
"communications service"	0.052698
lifesaving	0.0526965
postage	0.0526344
"mainframe computer"	0.0526201
"microwave oven"	0.052583
networking	0.0524128
"Windows CE"	0.0522741
keyword	0.0520567
decoder	0.0519453
"automated teller machine"	0.0517573
Checkfree	0.0514861
authentication	0.0513722
decontamination	0.0511032
Kleenex	0.050991
stoplight	0.0507796
sonar	0.0507404
password	0.0507339
Rotary	0.0506732
"radio frequency"	0.0505589
mainframe	0.0503339
"bulletin board"	0.050213
remotes	0.0500517
tuner	0.0500494
URL	0.0499234
LCD	0.0498903
"three pitchers"	0.0497822
spreadsheet	0.0496941
mem	0.0496346
handheld	0.0495727
handhelds	0.0495418
"road runner"	0.0495332
"phone jack"	0.0493782
hookup	0.0490249
"bar code"	0.0489631
propulsion	0.0489584
Walkman	0.048915
Priceline	0.0486202
Monster.com	0.0486058
"solar energy"	0.0483207
"two units"	0.0481813
"telephone service"	0.0480712
cheerio	0.0480666
refrigeration	0.0480379
barbell	0.0480364
defibrillator	0.0479733
copier	0.0478458
Norplant	0.0475578
synchronization	0.0474023
Dreamcast	0.047081
"electronic communication"	0.0467433
scanner	0.0467214
Po	0.0466301
Indexing	0.0465839
"coaxial cable"	0.0465824
"Social Security number"	0.0463085
microwave	0.0463043
IC	0.0462354
earpiece	0.0460476
Gnutella	0.0458983
GeoCities	0.0458249
semiconductor	0.0457873
routing	0.0457649
feedback	0.0455466
"fresh food"	0.0454316
"inventory control"	0.0453911
"telephone set"	0.0453663
Eudora	0.0453385
Instinet	0.0452542
desalination	0.0452092
switching	0.04515
VCR	0.0450994
"gas turbine"	0.0450581
Usenet	0.0450249
"chemical warfare"	0.0450176
"cake mix"	0.0449063
amplification	0.0448624
"job candidate"	0.044836
wristwatch	0.0447317
China.com	0.0446298
"circuit breaker"	0.0445307
))
(Callie (desc 1898.73) (sims
Samantha	0.103669
Rebecca	0.100744
Marco	0.092794
JonBenet	0.0826605
Sund	0.0802101
Sara	0.078326
Brazill	0.0750013
Mona	0.0741758
Rachel	0.0711114
Sonia	0.0709284
Hannah	0.0691598
Heidi	0.0690282
Matthew	0.0681011
Sethe	0.0677603
Brenda	0.0675571
Erica	0.0670422
Leah	0.066357
Jenny	0.0661938
Fech	0.0648522
Dorothy	0.0636261
Emma	0.0620189
Jill	0.0617563
Baumhammers	0.0616814
Paige	0.0613887
Cindy	0.0605805
Alexandra	0.0605434
anna	0.0590573
Brandon	0.0580909
Jagger	0.0578601
Molly	0.0576717
Stephanie	0.0572652
Gaither	0.0572127
Corey	0.0570283
Debbie	0.0566524
Jared	0.0566169
Natalie	0.05636
Maria	0.0554286
"Karenna Gore Schiff"	0.0553806
Christy	0.0548906
Gooding	0.0545256
Junger	0.0545045
"Leigh Ann"	0.054213
Costin	0.0539779
Vanessa	0.0538892
Shannon	0.0538532
Berenson	0.05305
McGill	0.0528171
"Carole Sund"	0.0527424
Biggs	0.0524665
Pam	0.0524193
Myhrvold	0.0521052
Lois	0.0520961
Beth	0.0520693
DeFrantz	0.0517949
TARPLEY	0.0514204
Jennifer	0.0512012
Silas	0.0509775
Sadie	0.0504154
Wilkerson	0.0498622
Cassie	0.0497094
Faget	0.0493787
Christina	0.0492786
Nate	0.0490394
Darryl	0.0490237
Yoon	0.0488668
Eliza	0.0487372
Olivia	0.048201
Laura	0.0480794
Amanda	0.0479193
Carrie	0.0478432
Jamie	0.0477726
Katie	0.0476425
Barbara	0.0475284
Jeremy	0.0474897
Michel	0.0474586
Wendy	0.0474248
Jessica	0.0468803
Alexis	0.046348
Sylvia	0.0463237
Danielle	0.0461744
Faison	0.0461126
Collymore	0.0459804
Ellen	0.0459575
Paltrow	0.0458922
Eric	0.0457231
"hundred million dollars"	0.0456559
ISABEL	0.0456543
Coppola	0.0455655
Julie	0.0454801
Cynthia	0.0453902
Rodney	0.0450301
Lacresha	0.0449563
Mahoney	0.0446616
Carmichael	0.0446293
Susannah	0.0444477
Martha	0.0444111
Kate	0.0444084
Anne	0.0442251
McAuliffe	0.0439206
Frances	0.043693
Dorismond	0.0436921
Polly	0.0436642
Stayner	0.0433473
Elisabeth	0.0432634
Rook	0.0432393
Sarah	0.0432384
Dominique	0.0427493
Gus	0.0426816
Shawn	0.042537
Levesque	0.042463
Karr	0.04237
Laurie	0.0422394
Rhonda	0.0422343
Linda	0.0421909
Imperatori	0.0421662
Webdale	0.0421244
Ashley	0.0421171
Audrey	0.0420633
Kimball	0.0418488
Jenna	0.0417808
Pamela	0.0416601
Loretta	0.0416326
Soliah	0.0415064
Kerouac	0.0414665
Maggie	0.0414369
Johanna	0.0412902
Willie	0.0412375
"hundred thousand dollars"	0.041219
Steven	0.0411924
Diane	0.0411695
Helen	0.041111
Eleanor	0.0410452
Gina	0.0407673
Susan	0.0406268
Nancy	0.0406131
Crocker	0.040578
Tina	0.0404752
krueger	0.040465
Shane	0.040428
Glaber	0.0404246
A.J	0.0403485
Weston	0.0403285
Eileen	0.0403126
Lazaro	0.0402636
Greg	0.0401934
Elena	0.040046
))
(calligrapher (desc 3841.01) (sims
sculptor	0.137023
craftsmen	0.129382
painter	0.116248
cartoonist	0.103237
craftspeople	0.102842
poet	0.101566
agronomist	0.099829
scholar	0.0959676
"art historian"	0.0955161
violinist	0.0948923
acrobat	0.0944624
dramatist	0.0938328
"graphic artist"	0.0932446
enterpreneurs	0.093095
mathematician	0.092393
statesmen	0.0923779
musician	0.0922342
Brantley	0.0906112
businesspeople	0.0903808
illustrator	0.0903357
"art student"	0.0898174
"film maker"	0.0891512
academician	0.0879218
restorer	0.0874996
fencer	0.0873224
"stage director"	0.0865019
artisan	0.0858762
animators	0.0853094
composer	0.0848741
choreographer	0.0845199
educationist	0.0842168
"fashion designer"	0.0827468
cabinetmaker	0.0821229
geologist	0.0815684
seismologist	0.0808162
woodworker	0.0805283
Playwright	0.0801212
personage	0.0796098
exhibitor	0.0790367
"jazz musician"	0.0789693
pianist	0.0787873
botanist	0.0783786
linguist	0.078053
"art teacher"	0.0778211
filmmakers	0.0775058
philosopher	0.0773566
photographer	0.0771249
novelist	0.0756603
"Diego Rivera"	0.0756299
archeologist	0.0743209
moviemakers	0.073988
"interior designer"	0.0734647
craftsman	0.0727744
monk	0.0722865
portraitist	0.0722111
"man of letters"	0.0717298
songwriter	0.0717047
mountaineer	0.0715636
troupe	0.0715609
puppeteer	0.0706422
educator	0.070246
"literary work"	0.069787
clarinetist	0.0697257
essayist	0.0692541
welder	0.0691712
filmmaker	0.0688001
sociologist	0.0682389
historian	0.067446
archaeologist	0.0670902
gymnast	0.0670694
"legal expert"	0.0670326
thinker	0.0669785
orator	0.0669635
instrumentalist	0.0669228
"landscape architect"	0.0659504
"art dealer"	0.065887
electrician	0.0658312
"belly dancer"	0.065492
decorator	0.0652279
paleontologist	0.0648502
sportsmen	0.0648408
climber	0.0641406
"character actor"	0.0640902
"social scientist"	0.0638847
carpenter	0.0633761
lexicographer	0.0633629
"university student"	0.0632779
calligraphy	0.0632528
potter	0.0629326
forger	0.0625709
anthropologist	0.0625245
physicist	0.0623351
storyteller	0.0621283
"folk singer"	0.0614401
vaulter	0.060884
lifter	0.0608697
shuttlers	0.0607208
herbalist	0.0605125
statesman	0.0603827
theologian	0.060161
ornithologist	0.0595925
"dead person"	0.0594688
"Vincent van Gogh"	0.0593831
"Michael Graves"	0.0592621
"pass catcher"	0.059202
lyricist	0.0591484
stylist	0.0591219
clergymen	0.0590523
singer-songwriters	0.0587386
"business executive"	0.058655
"management expert"	0.0585653
ballerina	0.0581176
drummer	0.0580583
"government officials"	0.0579123
"musical group"	0.0578071
"North Africans"	0.0574738
modernist	0.0570571
"Kevin Williamson"	0.057013
comedian	0.0569886
cellist	0.0567162
"chess player"	0.0566759
translator	0.0565916
philanthropist	0.0556278
dignitary	0.05557
"landscape painting"	0.055419
practitioner	0.0552969
"publishing house"	0.0551613
Archimedes	0.055001
archivist	0.0547678
inventor	0.0547554
Industrialist	0.0546644
metropolises	0.0545634
Futurist	0.0545544
naturalist	0.0542666
spikers	0.0541937
Programmer	0.0536929
"pirate ship"	0.0534251
classicist	0.0533222
brawler	0.0532915
plumber	0.0531098
"mountain climber"	0.052853
barrister	0.0528374
"bon vivant"	0.0526745
"Aaron Sorkin"	0.0524358
"economic expert"	0.052395
innovator	0.0522609
speller	0.0521675
swimmer	0.0521577
"auto manufacturer"	0.0519807
thespian	0.0519667
ophthalmologist	0.0518495
abbot	0.0517779
"computer scientist"	0.0512657
skater	0.051123
chemist	0.0509997
consortia	0.0509296
Mongolian	0.0509103
proverb	0.0508099
lama	0.0503119
"West Lake"	0.0502668
"shipping company"	0.0502582
gunslinger	0.0502304
psychologist	0.0501347
jurist	0.0499219
librarian	0.0498973
Rembrandt	0.0497661
shuttler	0.0496122
socialite	0.0495752
"disc jockey"	0.0494444
"medical specialist"	0.049383
"work of art"	0.0493017
"Lu Xun"	0.0491958
Messiaen	0.049176
"film producer"	0.0491602
geneticist	0.0490867
"stamp collector"	0.0490121
Beijingers	0.0489858
parliamentarian	0.0489825
holidaymaker	0.0488934
birder	0.0488029
kiln	0.0486684
juggler	0.0484462
"civil rights leader"	0.0484299
psychoanalyst	0.0482131
evangelist	0.0480782
"ballet dancer"	0.0478004
cardiologist	0.0477714
"Edgar Allan Poe"	0.047742
postgraduate	0.047721
websites	0.0476935
winemaker	0.0476737
astrologer	0.0476631
cyclist	0.0475525
shipbuilder	0.0472988
businesswomen	0.0472751
"Silk Road"	0.0472178
emigrant	0.0469813
"music lover"	0.0466425
diver	0.0466348
nutritionist	0.0465929
))
(calligraphy (desc 12100.8) (sims
"oil painting"	0.161441
"folk art"	0.149352
ceramic	0.134894
handicraft	0.134454
sculpture	0.131987
painting	0.129241
Pottery	0.12425
carving	0.112791
"fine art"	0.112379
photography	0.11088
"martial art"	0.103058
porcelain	0.102756
lacquerware	0.102207
drawing	0.101112
watercolor	0.100537
architecture	0.0999465
metalwork	0.099193
art	0.098952
inscription	0.0986744
antique	0.0986432
bronzeware	0.0955957
jade	0.0939294
"fine arts"	0.0931815
engraving	0.0926384
"historical document"	0.0925097
embroidery	0.0924407
literature	0.0919251
jewelry	0.0915611
"wall painting"	0.0909652
"musical instrument"	0.0905592
artifact	0.0886334
stoneware	0.0879926
"work of art"	0.0874093
artwork	0.0873399
antiquity	0.0869163
woodcut	0.0866736
poetry	0.0866062
manuscript	0.0864342
craft	0.086237
"art exhibition"	0.0845944
acrobatics	0.0843534
etching	0.0834139
relic	0.0813941
curio	0.0807032
fresco	0.0801382
furniture	0.0800198
lithograph	0.0797832
"musical performance"	0.07773
tapestry	0.0774364
quilting	0.0769545
collage	0.07661
"landscape painting"	0.0761987
collectibles	0.0759445
folklore	0.074686
photograph	0.0746618
lacquer	0.0744562
sketch	0.0741983
Impressionist	0.0730093
"Peking Opera"	0.0727892
furnishings	0.0726569
poem	0.0720117
"public speaking"	0.0706299
animation	0.0701593
"folk song"	0.0699558
"stained glass"	0.0699077
"folk dance"	0.069768
memorabilia	0.0683087
earthenware	0.0681601
writing	0.0674192
figurine	0.0669745
"spoken word"	0.0669178
archeology	0.0648315
jewellery	0.0645188
rug	0.0644007
poster	0.0641661
calligrapher	0.0632528
shui	0.0629487
"old master"	0.062929
opera	0.0628523
textile	0.062771
ware	0.0627412
ceramics	0.0626561
archaeology	0.0625404
decoration	0.0625065
ornament	0.0621768
lantern	0.0621021
Exhibition	0.0618639
translation	0.0617826
statuary	0.0617575
gouache	0.0617535
portrait	0.061716
handwriting	0.0617016
yoga	0.0613839
stamp	0.0613045
"architectural style"	0.0610342
mural	0.0610262
"folk music"	0.0609086
text	0.0607268
quilt	0.0606981
ballet	0.0602363
enamel	0.0599789
illustration	0.0598636
"short story"	0.0597869
Coin	0.0597401
Scripture	0.0586797
prose	0.0582201
essay	0.0579494
"medical science"	0.0579185
"classical music"	0.0576376
bronze	0.0574537
dancing	0.0573376
"literary work"	0.0572793
Qigong	0.057037
puppetry	0.0568885
costume	0.0568489
"flower arrangement"	0.0564108
treasure	0.0563194
"sheet music"	0.0559973
scenery	0.0558149
typography	0.0549782
garment	0.0548028
"chamber music"	0.0545224
pastel	0.0543206
statue	0.0542466
memento	0.0539675
verse	0.0537943
chandelier	0.0534098
Americana	0.0531575
stele	0.0528096
nonfiction	0.0527616
fiction	0.0523861
mosaic	0.0519339
horticulture	0.0518131
silk	0.0517301
liturgy	0.051476
modeling	0.0513806
recitation	0.0513732
violin	0.0512411
"Kung Fu"	0.0509862
tulip	0.0506268
"musical theater"	0.0505578
"puppet show"	0.0499431
carpentry	0.0498299
masterpiece	0.0498202
peony	0.0497444
mime	0.0497378
Journalism	0.0496749
"art form"	0.0492887
flower	0.0492283
"written material"	0.0491914
"Beijing Opera"	0.049139
"van Gogh"	0.049132
pamphlet	0.0490902
"documentary film"	0.0490362
bodybuilding	0.048976
singing	0.0489
miro	0.0488911
Kite	0.0488344
vase	0.0488153
choreography	0.0487106
"modern dance"	0.0486218
"still life"	0.0485266
linguistics	0.0484811
decor	0.0484455
cutting	0.0482298
astronomy	0.0482055
karate	0.0481592
fossil	0.0479854
Zen	0.0478538
Koran	0.0476896
woodworking	0.0476183
scroll	0.0476091
glassware	0.0475288
designing	0.0472575
knitwear	0.0469836
reproduction	0.0467638
civilization	0.0467464
Clothing	0.0463391
"piece of furniture"	0.0462811
polka	0.0462186
self-portraits	0.0462016
Buddhism	0.0459599
drumming	0.0459235
reportage	0.0458404
meditation	0.0457918
craftsmanship	0.0457163
sutras	0.0456744
"building material"	0.0456575
cuisine	0.0456558
mythology	0.0456401
fabric	0.0455545
cartoon	0.0455529
archive	0.0454645
Picasso	0.0453831
portraiture	0.0453596
stationery	0.0451678
"interior design"	0.0450465
"Christmas card"	0.0449597
grotto	0.0449339
parchment	0.0447706
))
(calling (desc 21954.4) (sims
"phone service"	0.0680042
"local call"	0.0613381
"telephone service"	0.0547122
telephony	0.0545674
plea	0.0509035
Vocation	0.0507731
endeavor	0.0474786
blessing	0.0464534
"magic bullet"	0.0458354
hobby	0.0449908
long-distance	0.0448169
profession	0.0440578
justification	0.0422161
commandment	0.0412264
forgiveness	0.0410602
"calling card"	0.0410179
"long-distance call"	0.0408245
timetable	0.0404775
ideal	0.040055
backing	0.0400532
))
("calling card" (desc 7324.71) (sims
"money order"	0.0936635
"communications service"	0.0856165
"phone service"	0.0853847
"charge card"	0.0848114
"hand-held computer"	0.0818011
"bank card"	0.0814793
postage	0.0790401
"local call"	0.0784178
"business card"	0.0778105
"caller ID"	0.0716686
"data communication"	0.0697906
"credit card"	0.0685987
"call waiting"	0.0662067
videophone	0.0651709
telemarketing	0.0651037
IDD	0.0644523
telephony	0.0623857
long-distance	0.0614111
pager	0.0605104
"Social Security number"	0.0591025
"postage stamp"	0.0587588
subscription	0.058556
wireless	0.0580979
DSL	0.0575262
beepers	0.0573147
"telephone service"	0.05707
beeper	0.0568082
"life insurance"	0.0565772
"cellular phone"	0.0565475
"electronic mail"	0.056183
coupon	0.0546457
postcard	0.0535448
debit	0.0533526
PDA	0.0529893
"fiber optics"	0.052848
"traveler's check"	0.0525021
"computer hardware"	0.0523817
"checking account"	0.0523769
ISDN	0.0518989
"penny stock"	0.0509198
modem	0.050787
"cable television"	0.0507626
cellphone	0.0504336
personalization	0.0502721
handset	0.0501394
no-brainer	0.0499774
directory	0.0496787
"theater ticket"	0.0496382
switchboard	0.0494956
"software product"	0.0492789
broadband	0.0492674
souvenir	0.0492586
"Palm Pilots"	0.0492472
"yellow pages"	0.0491915
pagers	0.0491474
airtime	0.0490926
wristwatch	0.0484359
"greeting card"	0.0481034
"driver's license"	0.0479758
forwarding	0.0478905
"tool kit"	0.047851
brochure	0.0476574
"historical document"	0.0472486
ISP	0.0472353
"mail order"	0.0471942
ID	0.0468237
"computer equipment"	0.0467072
"automatic teller machine"	0.0467008
emulator	0.0465639
"hearing aid"	0.0464139
"user interface"	0.0463102
"hot line"	0.0460147
"fax machine"	0.0458633
warranty	0.0456219
hookup	0.0456107
Hotmail	0.0455266
badge	0.045251
"personal computer"	0.0450174
solicitation	0.0447409
"shuttle bus"	0.0445493
mortgage	0.0445288
"line of products"	0.0445238
"preferred shares"	0.0441744
medallion	0.0438625
hotline	0.0438566
annuity	0.0437739
trinket	0.0435102
"long-distance call"	0.0433554
"telephone directory"	0.0432831
"bus ticket"	0.0432219
"crazy quilt"	0.0430805
passport	0.0427839
"laptop computer"	0.0426327
shredder	0.0423079
"magnifying glass"	0.0423062
"trading card"	0.0420219
mailer	0.0419687
keypad	0.0419105
Banknote	0.0418957
Encyclopedia	0.0415963
"precious metal"	0.0412807
reseller	0.0412238
"information service"	0.0410992
"phone system"	0.0410617
calling	0.0410179
"piece of work"	0.0408886
"Palm VII"	0.0408237
CD-ROM	0.0408226
"cellular telephone"	0.0407504
paralegal	0.0404334
"Beanie Baby"	0.0404199
atm	0.0403587
travelogue	0.04015
sticker	0.0400611
"customer service"	0.0400389
))
("Callista Bisek" (desc 1502.96) (sims
Bisek	0.258833
"David Bar-Illan"	0.156579
"Sergei Yastrzhembsky"	0.148553
"Camilla Parker Bowles"	0.138658
"Sidney Blumenthal"	0.138321
"Linda Jones"	0.127228
"Bruce Teitelbaum"	0.120553
"Bruce Lindsey"	0.119279
el-Baz	0.111415
"George Stephanopoulos"	0.110831
"Fehmi Agani"	0.101172
"Rahm Emanuel"	0.0960525
"Harold Ickes"	0.0959049
"Ahmed Tibi"	0.093641
Blumenthal	0.0916428
"Carter Eskew"	0.0850877
"Kathleen Willey"	0.0845903
"Monica S. Lewinsky"	0.082664
"Gennifer Flowers"	0.0822103
"Karen Hughes"	0.082123
"John Weaver"	0.079786
"Vincent Foster"	0.0788821
"Danny Yatom"	0.0748937
"Paul Begala"	0.0745989
"Daim Zainuddin"	0.0733768
"Azem Hajdari"	0.0732128
Capano	0.0706073
"married man"	0.069837
Francois	0.0681676
"Vernon Jordan"	0.0666531
"Yuri Maslyukov"	0.0661362
Fraga	0.0655474
"Georgia Republican"	0.0650721
"Sally Hemings"	0.0650371
"Alexander Lebed"	0.0649762
Eizenstat	0.0646179
"Betty Currie"	0.0643521
"Oliver North"	0.063333
"J.D Salinger"	0.0626876
Ratner	0.0588883
"Dore Gold"	0.0552649
stepdaughter	0.0539608
"Ken Johnson"	0.0539212
Gannon	0.0521015
Alonzo	0.0519564
Allchin	0.051431
"Momcilo Krajisnik"	0.0510115
Aguirre	0.0507911
Elena	0.0507888
Colburn	0.0504843
"Lee Atwater"	0.050196
fortuneteller	0.0497149
co-premier	0.0495577
Schmalensee	0.048769
Trie	0.0485699
Salinger	0.0471334
housemate	0.0469553
Emanuel	0.0466902
Eduardo	0.0465958
"Vladimiro Montesinos"	0.0464763
reapportionment	0.0463991
"robbery suspect"	0.046271
Lindsey	0.0457655
"John Huang"	0.0455676
"district line"	0.0452152
bargainer	0.0451615
Baz	0.0451539
"Robert Livingston"	0.0450907
"Robert Shaw"	0.0447714
"Cary Stayner"	0.0446496
"Vernon E. Jordan Jr."	0.0446292
Flemmi	0.044244
Arias	0.0440987
"Faisal Husseini"	0.0438917
"Nabil Shaath"	0.0437598
infantryman	0.0436691
Polgar	0.0434323
Sang	0.0433076
"heart surgeon"	0.0432366
"Black Panther"	0.0431744
Rhonda	0.0431608
Cavallo	0.0431529
"real estate broker"	0.0430599
Cory	0.0430577
Maurizi	0.0428398
"Gene Sperling"	0.0428196
Nemtsov	0.0426864
"altar boy"	0.0426214
"house painter"	0.0425862
"civil engineer"	0.042223
"eye doctor"	0.0420728
"Illinois Republican"	0.0414852
"Brent Scowcroft"	0.0414468
Kansan	0.0413381
"aerospace engineer"	0.0413293
"Mike Jones"	0.0413174
Unitas	0.0411791
"Del Toro"	0.0411431
"Boris Fyodorov"	0.0410932
"Los Angeles City Council"	0.0410321
"Dennis Ross"	0.0409886
Michelle	0.0409822
"Mary Matalin"	0.0408111
"Bruce Matthews"	0.0408017
Willey	0.0404276
"Bill Moyers"	0.0403927
"Sheldon Silver"	0.0403501
Myhrvold	0.0402899
"Boris Nemtsov"	0.0402439
McDOWELL	0.0401745
))
(callousness (desc 1678.39) (sims
favoritism	0.102908
recklessness	0.0981908
disloyalty	0.0970563
insensitivity	0.092975
cynicism	0.087326
cowardice	0.0842647
incompetence	0.0812434
indifference	0.0766307
arrogance	0.0760229
skittishness	0.0756151
laxity	0.0753805
selfishness	0.0751929
intolerance	0.0749153
cronyism	0.0743601
malfeasance	0.0742406
snobbery	0.0736683
"foul play"	0.0734031
dishonesty	0.0731716
unfairness	0.0729022
negligence	0.0714522
overconfidence	0.0708019
criminality	0.0701284
rigging	0.0699052
naivete	0.0695519
opportunism	0.0681617
insularity	0.0670262
Elitism	0.0669513
reorientation	0.0656135
"election fraud"	0.0647277
deceit	0.0628504
"ill will"	0.0623432
insecurity	0.0622709
bullishness	0.0616225
inhumanity	0.0611298
"double standard"	0.0609369
misogyny	0.0601869
sexism	0.0599458
uneasiness	0.0596506
ineptness	0.0583207
immaturity	0.0579226
influence-peddling	0.0579161
coverup	0.0578219
receptivity	0.0577643
laziness	0.0577449
pettiness	0.057619
sadism	0.0573486
gunrunning	0.0570735
polarization	0.0569349
mistreatment	0.0568429
belligerence	0.0563428
illegality	0.0554622
ambivalence	0.0553419
profligacy	0.0550326
authoritarianism	0.0549475
vote-buying	0.0549325
irresponsibility	0.0542556
malpractice	0.0542158
apathy	0.0540515
cannibalism	0.0533627
pomposity	0.0529894
lawlessness	0.0527822
immorality	0.05274
hubris	0.0526203
disillusionment	0.0525375
backsliding	0.0525273
unease	0.0524868
helplessness	0.0523083
trepidation	0.05218
adulteration	0.0519591
negativity	0.051895
tenacity	0.0516835
inferiority	0.0516306
falsity	0.0511537
nepotism	0.05101
hypocrisy	0.0510088
deceleration	0.050121
insincerity	0.0501128
thawing	0.049995
impropriety	0.04904
sensationalism	0.0485168
disenchantment	0.0484565
maltreatment	0.0483236
"high treason"	0.0481807
belt-tightening	0.0480525
complacency	0.0477983
moderation	0.0472325
humility	0.0471847
bigotry	0.0469596
indecency	0.0468064
hopelessness	0.0466489
commercialism	0.0465914
self-delusion	0.0464395
misrule	0.0462944
sameness	0.0462477
"wear and tear"	0.0461586
uptrend	0.0459405
sleaze	0.0454202
inattention	0.0452092
avarice	0.0446369
foot-dragging	0.0443363
impatience	0.0443348
sedation	0.0441768
misanthropy	0.0441325
anarchy	0.0439538
ruthlessness	0.0437955
isolationism	0.0436664
ingenuity	0.0434019
cockiness	0.0433697
misappropriation	0.0432746
shrewdness	0.0432317
homophobia	0.0430855
"insider trading"	0.04306
puritanism	0.0429878
self-pity	0.0429487
antagonism	0.0427777
Ostracism	0.0427014
culpability	0.0426325
fallibility	0.0422919
leniency	0.0422882
disunity	0.0422277
animus	0.0422276
disquiet	0.0421674
imperialism	0.0417893
ferocity	0.0417071
specificity	0.0416672
dishonor	0.0415092
divestment	0.0414672
assertiveness	0.0413687
propensity	0.041226
condescension	0.0412243
softness	0.0410982
divisiveness	0.0410259
magma	0.0409197
geopolitics	0.0408908
equanimity	0.0408361
smugness	0.0408118
desolation	0.0407296
malignancy	0.0405785
unanimity	0.0405721
heresy	0.0403415
awkwardness	0.0402459
institutionalization	0.0402057
rudeness	0.0401489
self-satisfaction	0.0400376
wickedness	0.0400176
))
(Calloway (desc 1260.3) (sims
nance	0.0998543
Chmura	0.0952206
Christensen	0.0934597
Kasoulides	0.0919464
Bulatovic	0.0908249
Ashrawi	0.0898058
McGrady	0.0897268
Barros	0.0892272
Sassa	0.0877269
Wheatley	0.0871068
Herta	0.0868374
motley	0.0861923
Lieberthal	0.0861918
Lawson	0.0851319
Rodionov	0.0846954
Reichel	0.0845169
Faulk	0.0842302
McDuffie	0.0840962
Ciampi	0.0837356
Lafleur	0.0836949
Wolfson	0.0835031
Heinrichs	0.0832715
Chevenement	0.0832098
Anelka	0.0830481
Meguid	0.082302
Milutinovic	0.0821908
Dunston	0.0816234
Kushner	0.0814705
Toomer	0.081285
Ruehe	0.0812261
Cao	0.081072
Pickens	0.0809283
Biden	0.0808801
Meggett	0.0805095
Holdsclaw	0.0794172
Laettner	0.0793328
Hagel	0.0791057
Harkes	0.078919
BEGAY	0.0787306
McGarity	0.0787196
Butterfield	0.0786057
Jeffers	0.0782614
Gottlieb	0.078233
Havelange	0.0780777
Camdessus	0.0777761
Solis	0.0777029
Metcalf	0.0776684
Prewitt	0.0771809
Torvalds	0.0771282
Fortson	0.0771122
Alou	0.0769321
Zarb	0.0768272
Rivlin	0.0767893
Mullin	0.0765312
Zeng	0.0759429
Blackman	0.0759038
Ikeda	0.075799
Irvan	0.0752529
Beasley	0.0749244
Bullard	0.0746326
Turgeon	0.0744358
Longo	0.0742458
Stepashin	0.0742127
Kassirer	0.0740066
Ozawa	0.0739247
Zou	0.0737289
Surin	0.0736314
Swann	0.0736127
Layden	0.0733745
Jager	0.0733302
Weatherspoon	0.0730071
Pederson	0.0727698
Burrell	0.0725051
Baez	0.0724713
Katsav	0.0723507
Lobo	0.0722464
Godfrey	0.072243
Galindo	0.0720451
Cowan	0.0718117
Kapono	0.0717409
Maldini	0.0716983
Wadsworth	0.071527
DeBerg	0.0714914
Luo	0.071434
Daley	0.0714074
Kessler	0.0713555
Rawabdeh	0.0713102
MARBURY	0.0712801
Iglesias	0.0712527
"Caroline Kennedy"	0.0712035
Harbaugh	0.0711065
Gowda	0.0710526
Dunham	0.0710325
"Van Exel"	0.0705481
McIlvaine	0.0704871
Berra	0.0704563
Perec	0.0704241
Eubanks	0.0704087
Detmer	0.0702433
Matthaeus	0.070213
LeBlanc	0.0702014
Macdonald	0.0701544
McGinnis	0.0701431
Edelstein	0.0700922
Smirnov	0.0700129
Shatner	0.069962
Nowitzki	0.0699616
Ismail	0.0699172
Kurth	0.0699167
Hiett	0.0695814
Boucher	0.0694118
Mendez	0.0693044
Whitsitt	0.0692906
Arens	0.0692894
Leetch	0.0690064
Gatling	0.0688619
Asprilla	0.0688246
Eizenstat	0.0688177
Soyinka	0.0687846
Gascoigne	0.0687318
Greenwald	0.0686719
Plummer	0.0686707
Garza	0.0686638
Galloway	0.068502
Watters	0.0684216
Primeau	0.0682485
Ervin	0.0682173
"Virginia Woolf"	0.0682037
Hargrove	0.0681459
Patten	0.0680911
"John Kim"	0.0679079
"Earnhardt Jr."	0.0678755
"Wayne Chrebet"	0.0678483
"Curtis Martin"	0.0675786
Lautenberg	0.0675724
DiCarlo	0.0674391
Geiger	0.0673922
Owens	0.0672659
Henning	0.0671381
Arron	0.0669904
Hasselbeck	0.0668788
Webber	0.0668343
Hearn	0.0668086
Blaylock	0.0668053
Strahan	0.0667469
Azad	0.066738
Swoopes	0.0667093
Crawford	0.0666902
Zolak	0.0666529
Meeks	0.0666459
Augustine	0.0665659
Venables	0.0665447
Severino	0.0664135
Pierson	0.0663648
"Ricky Williams"	0.0663548
Ratner	0.0663035
Molinari	0.0662976
Bibby	0.0660689
Tanaka	0.066046
Ruggiero	0.0660324
Wiatt	0.065991
"foster mother"	0.0659068
Maher	0.0658234
Inman	0.0657309
Midler	0.065709
Yoon	0.06569
Baggio	0.0656894
Kirby	0.0656437
Hindery	0.0656177
"Martin Luther King III"	0.0654626
Whaley	0.0653738
Guthridge	0.0653592
McDonough	0.0653503
Grahame	0.0652775
Chrebet	0.065263
Furcal	0.0652574
Harrington	0.0651595
Kerr	0.065059
Fizer	0.0650417
Brunell	0.0649228
Haskins	0.0649004
Jacquet	0.0648662
Arroyo	0.064863
Aoki	0.0647663
Basayev	0.0647132
Habib	0.0646974
wen	0.0644691
Kono	0.0643808
Sealy	0.0643466
Byrne	0.0643138
Gugliotta	0.0643025
Langham	0.0642465
Evernham	0.0642397
Malu	0.0642269
Shayler	0.0641165
Coelho	0.0641155
Barbour	0.0641147
Manuel	0.0640189
Jovanovic	0.0640153
Abdur-Rahim	0.063966
))
(calm (desc 40033.6) (sims
calmness	0.147867
tranquility	0.133394
quiet	0.128657
tranquillity	0.10305
normalcy	0.0993387
serenity	0.099163
normality	0.0968039
stability	0.0853671
peace	0.0801093
harmony	0.0800468
civility	0.0793281
dignity	0.0783573
stillness	0.0780684
confidence	0.0757541
sanity	0.0725633
optimism	0.0721609
restraint	0.0715469
unity	0.0706799
comfort	0.0697048
patience	0.0696403
cohesion	0.0689214
humility	0.0688909
poise	0.0681769
silence	0.0677392
moderation	0.0674725
tolerance	0.0665343
composure	0.0665009
warmth	0.0661005
equanimity	0.0642471
sense	0.0632759
decorum	0.0619519
solitude	0.0615241
compassion	0.0612794
caution	0.0611383
bipartisanship	0.0605707
smooth	0.0596109
atmosphere	0.0592399
solidarity	0.0589564
panic	0.0588351
clarity	0.0585935
happiness	0.0581255
"peace of mind"	0.0579351
prudence	0.0576298
prosperity	0.0576101
respect	0.0571703
Openness	0.0568782
sadness	0.0567321
beauty	0.0567095
discipline	0.0566539
intensity	0.0562998
wisdom	0.0560722
professionalism	0.0559717
excitement	0.0557011
"good will"	0.0556234
simplicity	0.0552487
enthusiasm	0.0551
uncertainty	0.0547019
reconciliation	0.0546138
continuity	0.0545572
grace	0.0545027
smile	0.0544657
consistency	0.0538143
feeling	0.0536381
emotion	0.0536219
contentment	0.0536157
courage	0.0534009
chaos	0.0532462
equilibrium	0.052963
maturity	0.0529162
elegance	0.0529089
spirit	0.052864
unanimity	0.0525495
joy	0.0523096
vigilance	0.0521642
forgiveness	0.0521424
security	0.0521089
freedom	0.0520447
predictability	0.0518537
seclusion	0.0518128
demeanor	0.0515217
toughness	0.0514576
nonchalance	0.051346
attitude	0.0511361
stable	0.0511245
tension	0.0510515
determination	0.0508188
situation	0.0507543
euphoria	0.0507415
modesty	0.0506223
charm	0.0505018
gloom	0.0503968
safe	0.0503478
fairness	0.0501629
mood	0.0498869
sincerity	0.0497735
anxiety	0.0496877
integrity	0.0495878
satisfaction	0.049426
inactivity	0.0492995
trust	0.0491898
democracy	0.049169
confusion	0.049151
humor	0.0489807
relaxation	0.048922
firmness	0.0488984
vitality	0.0488814
isolation	0.0486531
finesse	0.048633
ceasefire	0.0485545
pride	0.0484929
rain	0.0484555
well-being	0.0483818
nervousness	0.048226
breeze	0.048151
vigor	0.0479476
strength	0.0476825
certainty	0.0476126
coexistence	0.0473921
compromise	0.0472662
kindness	0.0471144
flexibility	0.0470314
self-confidence	0.0469032
urgency	0.0468518
lull	0.0466501
manner	0.0465716
healing	0.0465522
relief	0.0464327
realism	0.0463644
"coming together"	0.0462951
passion	0.0462118
sympathy	0.0461274
tone	0.0460502
resilience	0.0459113
Privacy	0.0458999
safety	0.0458904
unrest	0.0457994
dialogue	0.0457383
positive	0.0455791
sunshine	0.0455784
sentiment	0.0455415
cease-fire	0.0454239
transparency	0.0453647
leniency	0.0452767
tenderness	0.045212
"common sense"	0.0451983
suspense	0.0451783
progress	0.0451348
desperation	0.04513
presence	0.0448768
Innocence	0.044844
trepidation	0.0448036
anonymity	0.0447582
secrecy	0.044698
diversity	0.0446666
goodwill	0.0445915
truce	0.044434
fun	0.0444291
understanding	0.0443782
anger	0.044335
reassurance	0.0442302
precision	0.0440918
skepticism	0.0440858
"status quo"	0.0438858
sobriety	0.0438669
anarchy	0.0438615
honesty	0.0438421
"investor confidence"	0.0438357
complacency	0.0438005
balance	0.0438003
Sacrifice	0.0436111
candor	0.0436054
wit	0.043596
dynamism	0.0435476
cold	0.0434957
reflection	0.0433579
darkness	0.04335
credibility	0.0433041
acceptance	0.0431587
"hard work"	0.0431256
thinking	0.0430735
coolness	0.0429265
assurance	0.0429155
melancholy	0.0429133
perseverance	0.0429072
grief	0.0428969
"sense of humor"	0.0428942
insecurity	0.0428786
patriotism	0.0427032
generosity	0.0427026
intimacy	0.0426837
neutrality	0.04265
frustration	0.0424834
sophistication	0.0424721
boldness	0.0424691
pause	0.0424115
bliss	0.0423086
decency	0.0422758
equality	0.0422707
thought	0.0422435
rein	0.0422183
))
(calmness (desc 3356.58) (sims
tranquility	0.153161
calm	0.147867
normalcy	0.126773
self-assurance	0.109239
composure	0.106233
tranquillity	0.105123
serenity	0.105049
moderation	0.102233
dexterity	0.100259
cockiness	0.0972931
self-control	0.0963152
boldness	0.0928707
graciousness	0.0927493
coolness	0.0917027
normality	0.0916777
equanimity	0.0898746
humility	0.0895356
resilience	0.0886248
self-confidence	0.0878464
modesty	0.0847275
warmth	0.0840818
dignity	0.0840047
stillness	0.0829797
Amity	0.0819804
bipartisanship	0.0810051
vigor	0.0807845
prudence	0.0802448
togetherness	0.0801103
sanity	0.079747
statesmanship	0.0796419
crispness	0.0789422
decorum	0.078865
contentment	0.076014
civility	0.0751298
powerlessness	0.0747487
swagger	0.0739819
freshness	0.0736564
foreboding	0.073382
professionalism	0.0733152
buoyancy	0.0730568
harmony	0.0727932
gentleness	0.0726614
maturity	0.0722147
nimbleness	0.0716887
resiliency	0.0712825
self-respect	0.0702714
completeness	0.0700991
"sense of balance"	0.0700159
cohesiveness	0.069988
Openness	0.069819
decency	0.0691557
seclusion	0.0691272
cohesion	0.0689803
self-restraint	0.0686903
decisiveness	0.0685732
rationality	0.068467
vitality	0.0682668
"sense of responsibility"	0.0682359
consistency	0.0681973
hipness	0.0681919
anticlimax	0.0675521
unanimity	0.0673906
worldliness	0.0669196
firmness	0.0668523
ebullience	0.0667167
humanitarianism	0.0663847
"peace of mind"	0.0661273
uniformity	0.0658562
nonchalance	0.0651262
softness	0.0648608
explosiveness	0.0647558
self-worth	0.0646457
tolerance	0.0645911
fierceness	0.0644015
timelessness	0.0643445
invincibility	0.0642815
resourcefulness	0.0640212
hopelessness	0.063836
smoothness	0.0636396
friendliness	0.0636151
sobriety	0.0634222
steadiness	0.0632655
closeness	0.06312
individuality	0.0625454
confidence-building	0.0624775
courage	0.0622512
downtrend	0.0619932
holiness	0.061954
"public trust"	0.0618654
equilibrium	0.0618028
solitude	0.0617364
pragmatism	0.0615495
dynamism	0.0613657
happiness	0.061365
patience	0.0613473
richness	0.061338
stamina	0.0612564
"sense of purpose"	0.0612181
compassion	0.0609371
competence	0.0608894
neighborliness	0.0608819
"good humor"	0.060216
sincerity	0.0601951
predictability	0.0595974
relaxation	0.0595819
solemnity	0.0595657
self-esteem	0.0594994
objectivity	0.0592392
stabilization	0.0589851
toughness	0.058942
simplicity	0.0586399
persistence	0.0585301
brashness	0.0584588
solidity	0.0584581
sophistication	0.0583529
disquiet	0.0583293
restraint	0.0583214
defensiveness	0.058222
"sense of humor"	0.0582198
wholeness	0.0581178
mastery	0.0579106
tact	0.057749
epiphany	0.057728
fluidity	0.0574697
Innocence	0.057341
clarity	0.0572845
agility	0.0570606
"investor confidence"	0.0570276
rapport	0.0569081
"good will"	0.0568526
worthiness	0.0566546
conciliation	0.0566115
naivete	0.0565849
armistice	0.0565257
bluntness	0.0564211
bravery	0.05621
"good weather"	0.0555128
uptrend	0.0552479
coexistence	0.0550554
assertiveness	0.0549458
foresight	0.0542664
transparency	0.0542179
edginess	0.0541169
subtlety	0.0539591
"civic duty"	0.0539317
kindness	0.0538089
potency	0.0537848
continuity	0.0537079
tenacity	0.0537011
"mutual understanding"	0.0536729
downslide	0.0536151
versatility	0.0535201
tenderness	0.0535135
aggressiveness	0.0534612
detente	0.0534355
gloom	0.0534103
vigilance	0.0534006
sameness	0.0533681
candor	0.0533637
intimacy	0.0533429
morality	0.05325
unreality	0.0532456
ferocity	0.0530705
self-reliance	0.0529291
distinctiveness	0.0528255
"reaction time"	0.0528024
earnestness	0.0527394
thoughtfulness	0.0526926
vibrancy	0.0526744
opulence	0.0526456
fragility	0.0525375
fluency	0.0523077
knack	0.0522726
informality	0.052091
sharpness	0.0520482
familiarity	0.0519287
remoteness	0.0518709
weariness	0.0518641
goodwill	0.0517807
self-importance	0.0516139
fearlessness	0.0514969
purity	0.0514642
aplomb	0.0513214
futility	0.051308
endurance	0.051255
lethargy	0.0512267
urgency	0.0509023
detachment	0.0508872
swiftness	0.050798
theatricality	0.0507026
lyricism	0.0506116
contrition	0.0505651
"common sense"	0.0503528
insecurity	0.0503046
radiance	0.0502983
lightness	0.0502142
mobility	0.0498452
neutrality	0.0497855
hush	0.049763
"joie de vivre"	0.0497392
))
(calorie (desc 5477.31) (sims
calory	0.193988
carbohydrate	0.178225
sodium	0.135409
Calcium	0.114809
fat	0.103658
cholesterol	0.102543
"vitamin C"	0.0958652
LDL	0.0949616
iodine	0.0907622
caffeine	0.0881303
"fatty acid"	0.087459
protein	0.0788404
"folic acid"	0.0706934
"raw meat"	0.0695023
nutrient	0.0673222
"T cell"	0.0667487
vitamin	0.0666065
"more than @@,@@@ acres"	0.0632665
oxygen	0.0627693
gram	0.0626852
soy	0.0612693
fiber	0.0611001
"balanced diet"	0.0600614
HDL	0.05959
sulfur	0.0588194
"vitamin A"	0.0584173
millimeter	0.0582898
phosphorus	0.0573474
"blood sugar"	0.0570172
"more than @@@,@@@ acres"	0.0562575
intake	0.0560698
glucose	0.0558489
pollen	0.0548195
"low-fat diet"	0.0547861
byte	0.0541522
insulin	0.0535092
"body weight"	0.0534121
timeouts	0.0528928
lard	0.052861
"vitamin E"	0.0524532
"about @@,@@@ acres"	0.0524464
"about $@.@@ million"	0.0522736
"B vitamin"	0.0522105
"one billion dollars"	0.0513944
Haagen-Dazs	0.0507896
moisture	0.0506077
nitrogen	0.0504064
impurity	0.0493263
oomph	0.0493024
carbon	0.0490081
hydrogen	0.0489622
"blood pressure"	0.0488909
potassium	0.0488689
nutrition	0.0487678
electrolyte	0.0486012
horsepower	0.0482332
"off-speed pitch"	0.0477247
"about @,@@@ acres"	0.0476543
vegan	0.0475088
starch	0.0471012
subsistence	0.0469434
"vitamin D"	0.0468128
"a few thousand dollars"	0.0464464
"dairy product"	0.0463495
"blood cell"	0.0458198
"more than @,@@@ acres"	0.0455534
acorn	0.0455443
"about @@@ acres"	0.0454476
kWh	0.045419
wallop	0.0450072
"national income"	0.0448771
serving	0.0448518
"medicare payment"	0.044803
Zinc	0.0445303
vegetarian	0.0444212
changeups	0.0443671
platelet	0.0438562
"animal fat"	0.0436166
RM@@@	0.0435627
keystrokes	0.0435115
Nickel	0.0434846
propane	0.0434098
antigen	0.0431261
gallon	0.0426191
"wear and tear"	0.0426068
ounce	0.0425469
TAXES	0.0424639
"working day"	0.0424116
"two billion yuan"	0.0422792
nitrate	0.0422791
liter	0.0420746
doggy	0.0418935
hydrocarbon	0.0416297
"fresh food"	0.0414363
refreshment	0.0413906
roasting	0.0413418
"breathing room"	0.0412209
carotene	0.0410409
"income bracket"	0.0409368
Manpower	0.0408623
magnesium	0.0408062
"a few million dollars"	0.0406137
centimeter	0.0401556
"heart rate"	0.0401437
antioxidant	0.0401053
pixel	0.04007
))
(calory (desc 10938.3) (sims
carbohydrate	0.274435
calorie	0.193988
fat	0.191949
sodium	0.180945
cholesterol	0.145583
protein	0.143765
Calcium	0.131122
"fatty acid"	0.125495
nutrient	0.12011
"vitamin C"	0.11198
fiber	0.105622
LDL	0.104365
caffeine	0.0995838
"animal fat"	0.098035
starch	0.0967274
electrolyte	0.0958193
vitamin	0.0934397
"B vitamin"	0.0862816
"folic acid"	0.0830969
gram	0.0799185
sugar	0.0787401
salt	0.0764111
"vitamin A"	0.0754131
intake	0.0752789
alcohol	0.0750652
"amino acid"	0.074573
nitrogen	0.0724111
potassium	0.0720738
impurity	0.0696687
"body weight"	0.0691243
glucose	0.0688168
lactose	0.068323
antioxidant	0.067269
iodine	0.0667337
horsepower	0.0651796
preservative	0.0638193
oxygen	0.0625843
moisture	0.0616708
"national income"	0.0612314
HDL	0.0610077
soy	0.0599449
phosphorus	0.0594192
acid	0.0591157
vegetable	0.058581
probationer	0.0583651
milk	0.0573272
"blood sugar"	0.0570142
"blood cell"	0.0568212
meat	0.0562895
"take-home pay"	0.0558244
ingredient	0.0549088
lard	0.054773
Diet	0.0544314
timeouts	0.053783
sulfur	0.0532965
"dairy product"	0.053106
fluid	0.052732
insulin	0.052704
nicotine	0.0519985
egg	0.0504738
"tax liability"	0.0495608
"blood pressure"	0.049264
Liquid	0.048723
carotene	0.0480754
"medicare payment"	0.0473949
"surface area"	0.0473623
"fruit juice"	0.0472948
keystrokes	0.0469306
"T cell"	0.0466304
enlistee	0.0465497
dieters	0.0465458
contaminant	0.0465027
"ground beef"	0.0463781
"foot traffic"	0.0458633
serving	0.045705
caseload	0.0455012
CO@	0.0454982
carbon	0.0454632
juice	0.0454294
enzyme	0.0452028
"gross income"	0.0449653
"vegetable oil"	0.0448166
Deet	0.0447874
pesticide	0.0445956
verbiage	0.044353
butter	0.0443313
bandwidth	0.0443071
herb	0.0442553
enrollee	0.0440268
"cancer death"	0.0440179
"about @@,@@@ acres"	0.0440096
"operating cost"	0.0437113
eighth-graders	0.0436825
"leisure time"	0.0436768
pluses	0.0435933
hydrogen	0.043517
"connective tissue"	0.0433007
"carbon monoxide"	0.0431302
flour	0.0429488
"vitamin D"	0.0425342
rep	0.0423735
"census taker"	0.0423594
"tax bill"	0.042213
oomph	0.042142
test-takers	0.0421336
"animal product"	0.0419122
Beijingers	0.0418284
margarine	0.0416976
ration	0.0416882
"olive oil"	0.0415626
chocolate	0.0415625
sinew	0.0413506
megahertz	0.0413176
fatality	0.0411608
leftover	0.0411041
benzene	0.0410774
millimeter	0.0410275
Nickel	0.040983
"management fee"	0.0409715
residue	0.040762
"baking soda"	0.0407558
quantity	0.0406983
respondent	0.0406813
downtime	0.0406509
"insurance premium"	0.0406312
"gross national product"	0.0405853
"job cut"	0.0405588
emission	0.0404956
dose	0.0403422
premium	0.0403083
"high blood pressure"	0.0401948
airtime	0.0401903
aggravation	0.0401888
hassle	0.0401669
folate	0.0401594
))
(CalPERS (desc 1490.2) (sims
TIAA-CREF	0.151208
MTA	0.120462
Marketspan	0.117968
F.A	0.108164
Norwest	0.107881
"Housing Authority"	0.107371
Massport	0.105485
SLOC	0.102663
NSC	0.101563
RJR	0.100797
OCA	0.0980963
CFTC	0.0970086
CWA	0.0957362
"Screen Actors Guild"	0.0954254
McKesson	0.0949804
"National Grid"	0.0944658
Wada	0.093857
Viag	0.0911949
LAUSD	0.0911905
IAI	0.0908728
"House GOP"	0.09076
HCFA	0.0901165
AFA	0.0876199
IDT	0.0875156
"Chronicle Publishing"	0.0865519
SmithKline	0.0861716
DEP	0.0849132
CSC	0.0847903
"Airport Authority"	0.0846211
SOCOG	0.0841789
RNC	0.084044
AMR	0.0829951
HHS	0.0823795
PUC	0.0816593
"New York Times Co."	0.081127
ACOG	0.0808419
Icann	0.0808165
"U.S. Congress"	0.0801656
Eurotunnel	0.0800274
Warnaco	0.0796655
AIG	0.0796602
HKMA	0.0794155
"Defense Agency"	0.0792795
Humana	0.0792647
BankAmerica	0.0783203
TDB	0.078256
"Thermo Electron"	0.0776483
ISO	0.0774771
APA	0.07691
USOC	0.0766608
UUP	0.076598
Biogen	0.0765111
Emery	0.0762615
MLB	0.0760777
Scientific-Atlanta	0.0759502
KLSE	0.0757155
FEMA	0.075639
Lilco	0.0753552
NASD	0.0752989
VCs	0.0744506
UTC	0.0743248
UAW	0.0743128
UNAMET	0.0742877
NHTSA	0.0742694
ADL	0.0742407
"Metropolitan Transportation Authority"	0.0741007
bombardier	0.0738861
BNFL	0.0737789
BankBoston	0.0733333
Geron	0.0733084
BofA	0.0732879
"United Way"	0.0731622
RIAA	0.0728882
IEC	0.0725785
Sunbeam	0.0724386
SPS	0.0721467
FA	0.0720205
Bertelsmann	0.0717558
"Local @@"	0.0717274
"British Foreign Office"	0.0716342
ITC	0.0714156
CBK	0.0712618
Scripps	0.0712099
"National Association of Securities Dealers"	0.0710015
CAF	0.0709327
BIA	0.0709006
"Commerce Ministry"	0.0707201
Heinz	0.07071
ENTERGY	0.0703331
LIFFE	0.0701937
Teledesic	0.070173
Bestfoods	0.0701459
"Transport Ministry"	0.0700282
MPAA	0.0699937
NiSource	0.069739
PCC	0.0694291
USATF	0.0692798
Omnicom	0.0692675
SAA	0.0687244
SBA	0.0687041
"USA Basketball"	0.0686558
DNC	0.0683901
"Department of Public Safety"	0.0678895
ABA	0.067833
VENATOR	0.067154
Dreyfus	0.0668864
CMGI	0.0667611
SDPC	0.0667333
"U.S. Soccer Federation"	0.0665992
"Football Association"	0.0665759
"Justice Ministry"	0.0664797
"Department of Corrections"	0.066434
FIBA	0.0663528
ama	0.0663332
WebMD	0.0658948
ABB	0.0656555
Litton	0.0655915
Alcan	0.0655061
"BP Amoco"	0.065265
DMV	0.0652194
AHP	0.0651752
"Port Authority"	0.0649381
"Civil Aviation Authority"	0.0647738
PNP	0.0647717
YankeeNets	0.0646774
Ico	0.0646675
NCI	0.0642462
"machinists union"	0.0641938
Delphi	0.063925
China.com	0.063817
Cendant	0.0634349
WFP	0.0633373
ITF	0.0631147
"Times Mirror"	0.0631137
Caltrans	0.0630067
RBA	0.0629143
APTV	0.0628038
"KCP&AMP;L"	0.0627048
BSA	0.0626803
GAAF	0.0624693
FTC	0.0624648
"Ford Motor"	0.0624547
ACB	0.0624387
NRC	0.0624118
"Israeli Foreign Ministry"	0.0623417
Starwood	0.0623099
"Fannie Mae"	0.0621964
EarthLink	0.062164
Alltel	0.0619683
Rhone-Poulenc	0.0619256
EEOC	0.0618417
NORTHROP	0.0617943
"Health Department"	0.0617089
WPP	0.0616686
UAL	0.061638
teamster	0.0615527
ENTREMED	0.0614043
SCLC	0.0612914
"Public Security Ministry"	0.0611912
"Georgia Power"	0.0611599
Janus	0.0611169
"Republican House"	0.0611101
"Olympic Council of Asia"	0.0610784
"Agriculture Ministry"	0.0609246
"Salt Lake Organizing Committee"	0.060844
EBRD	0.0607816
HUD	0.0607374
CMA	0.0606755
ATHOME	0.0606015
NIH	0.0605957
SSB	0.0604616
"Sydney Organizing Committee"	0.0603863
"Council of Europe"	0.0603078
"U.S. Immigration and Naturalization Service"	0.0602409
PECC	0.0601783
"Times Co."	0.0600662
"Recording Industry Association of America"	0.060009
Lockheed	0.0599582
SUNY	0.0598814
Kaiser	0.0598801
"Berkshire Hathaway"	0.0598306
IAF	0.0598225
SAirGroup	0.0598194
PSE	0.0596248
USGA	0.059365
Post-Intelligencer	0.0585655
CAA	0.0584552
Mensa	0.0583099
CCE	0.0582763
Mastercard	0.0582426
CCF	0.0581647
CNA	0.0579805
NTSB	0.0579627
DP	0.0579302
CPV	0.0578925
DSE	0.0578237
"Health and Welfare Ministry"	0.057817
"Philippine Senate"	0.0577266
"Gulf Air"	0.0577121
Hoechst	0.0576169
))
(CalTech (desc 1190.98) (sims
"California Institute of Technology"	0.187491
"North Carolina State University"	0.171708
"Cambridge University"	0.164801
"University of New Mexico"	0.151483
"University of Dayton"	0.148102
"University of Notre Dame"	0.144467
"Cornell University"	0.143786
MIT	0.140684
"Massachusetts Institute of Technology"	0.138887
"University of Illinois"	0.138738
"Kansas State University"	0.136663
"University of Utah"	0.134041
"University of Kentucky"	0.132084
Cornell	0.128133
"Texas Christian University"	0.122626
"Harvard Business School"	0.119599
"Colorado State University"	0.118855
"University of Chicago"	0.118834
"San Francisco State University"	0.118616
"Rockefeller University"	0.116544
"George Washington University"	0.116486
"Stanford University"	0.11463
UCSF	0.113811
"Baylor College of Medicine"	0.113719
UC	0.113533
"Emory University"	0.11272
"University of Rochester"	0.112473
Fermilab	0.11205
"University of Arizona"	0.111554
"Harvard University"	0.109849
"University of Washington"	0.109204
"Princeton University"	0.109168
SFA	0.108948
"U.S. Geological Survey"	0.108395
"University of Florida"	0.107527
"University of Kansas"	0.107338
Emory	0.107181
"University of Texas"	0.104875
"Yale university"	0.104741
"Brandeis University"	0.104679
"Arizona State University"	0.104054
"University of Iowa"	0.103309
"Michigan State University"	0.102102
"University of Toronto"	0.101805
"University of California"	0.1014
"Boston University"	0.101278
SUNY	0.100955
"University of Oklahoma"	0.098829
"Pennsylvania State University"	0.0983111
"Dartmouth College"	0.0982289
"University of Colorado"	0.0956139
UMKC	0.0954289
"University of Cincinnati"	0.0953095
"University of Michigan"	0.0924673
"Woods Hole"	0.092314
"University of Pennsylvania"	0.0903035
"American University"	0.0899323
"Hebrew University"	0.0895679
"Rutgers University"	0.0894988
"Purdue University"	0.0890441
"George Mason University"	0.0890032
Princeton	0.0888044
"Johns Hopkins University"	0.0880572
"Georgia State University"	0.0873381
"University of Georgia"	0.0870968
"Washington University"	0.0869534
"University of Massachusetts"	0.0857839
"University of Maine"	0.0855898
"University of Wisconsin"	0.0849919
"University of Tennessee"	0.0847806
"UC Berkeley"	0.084778
"University of Arkansas"	0.0845868
UGA	0.0843414
"Media Lab"	0.0842235
"University of Hawaii"	0.0838962
"University of Connecticut"	0.0838401
"Tufts University"	0.083765
ITC	0.0831065
"Harvard School of Public Health"	0.0831016
"University of Minnesota"	0.0825138
"Bell Labs"	0.0820845
"Smith College"	0.0820391
KU	0.0817305
"Iowa State University"	0.0816127
"Hofstra University"	0.0815954
Yale	0.08147
"Louisiana State University"	0.0814436
"Fordham University"	0.0813721
"Columbia University"	0.0812896
"Georgetown University"	0.0803951
"University of Nebraska"	0.0791105
"Brown University"	0.0785277
Qinghua	0.0784703
UW	0.0782762
"University of Pittsburgh"	0.0782714
"Rice University"	0.0782325
"Auburn University"	0.0776215
"New York University"	0.0775854
"Ohio State University"	0.0771009
"Johns Hopkins"	0.0768705
CUNY	0.0760493
"State University of New York"	0.0750756
"Amherst College"	0.0748419
"Harvard Medical School"	0.074803
Berkeley	0.0741168
Brandeis	0.0734626
tuft	0.0733952
"Washington State University"	0.0733821
"University of Missouri"	0.0730189
SETI	0.0725611
"Tehran University"	0.0724016
"University of Maryland"	0.0716496
"Syracuse University"	0.0711592
"Indiana University"	0.0705853
UA	0.0700393
"Vanderbilt University"	0.0694762
"University of Miami"	0.068834
"Temple University"	0.0688156
"Florida State University"	0.0683675
Unh	0.0680375
CERN	0.067999
"University of South Carolina"	0.0678998
UT	0.0678562
"Fallon McElligott"	0.0678162
MGH	0.0672963
ASU	0.067144
"Baylor University"	0.0671028
Brookhaven	0.067
"Mount Sinai Medical Center"	0.0662019
"University of Virginia"	0.0661711
"Duke University"	0.0660737
"Williams College"	0.066047
"Northeastern University"	0.0659828
"University of Southern California"	0.0658775
JPL	0.0654566
UNAM	0.0654304
"Furman University"	0.0649819
"University of Houston"	0.0644581
"California State University"	0.0643789
"Oxford University"	0.0640722
NCI	0.0638147
CDC	0.0637308
"College of Charleston"	0.0630533
ou	0.0630085
Barnard	0.0627059
"University of Alabama"	0.0626646
Fordham	0.0625694
"Hunter College"	0.062514
"City College"	0.0624
"Beijing University"	0.0619305
"Brigham Young University"	0.0617495
"U.S. Soccer Federation"	0.0616518
Xerox	0.0609698
Rutgers	0.0607798
"University of Mississippi"	0.0606208
"National Aeronautics and Space Administration"	0.0605413
CASS	0.0604608
"Yale Law School"	0.0604429
"Howard University"	0.0601225
"University of North Carolina"	0.0600671
"Trinity College"	0.0595004
"Harvard Law School"	0.0592141
Chinese-American	0.0589787
NYU	0.0589023
NAU	0.0572663
"Carnegie Mellon University"	0.0572037
"city university"	0.0565663
Scripps	0.0564753
Bu	0.0563471
Dartmouth	0.05596
"University of New Hampshire"	0.0549817
UNC	0.0545129
"National Cancer Institute"	0.0542962
Nicol	0.0542808
"Wine Institute"	0.0540082
IU	0.0539134
UMass	0.0538268
ITT	0.0538151
Hirst	0.0534465
Sloan	0.053208
"Northwestern University"	0.0531604
"Wright State University"	0.0531289
CRC	0.0530586
Vassar	0.0528245
"William Morris"	0.0523835
Amgen	0.0523228
UTEP	0.05223
"RAND Corp."	0.0520052
Hubble	0.0517385
"Iowa State"	0.0517321
yeshiva	0.0516437
"Cal State Northridge"	0.0515729
"Urban Institute"	0.0510535
"M University"	0.0509153
seminary	0.0505981
"National Academy of Sciences"	0.0504115
"Goldman, Sachs &AMP; Co."	0.0504085
"National Court"	0.0503286
"University of Nevada"	0.0501304
Tulane	0.0499405
))
(Caltex (desc 2207.49) (sims
Esso	0.222633
Amoco	0.170421
Agip	0.169037
Chevron	0.167871
Texaco	0.158874
UNOCAL	0.15404
Mobil	0.151287
Exxon	0.141816
"British Petroleum"	0.141393
BP	0.138681
Conoco	0.133355
ARCO	0.125739
Elf	0.121317
"BP Amoco"	0.109605
Eni	0.107686
Ltd	0.105005
BASF	0.10223
Petronas	0.0913313
"Royal Dutch/Shell"	0.0908075
Statoil	0.0906745
Enron	0.0893043
Unilever	0.0835886
PETROBRAS	0.0819469
ING	0.0801854
PTT	0.0753641
THA	0.0750277
Lukoil	0.0740735
Siemens	0.073771
"Fannie Mae"	0.0735238
Philips	0.0723971
Cargill	0.0723557
Dupont	0.0714982
COSCO	0.0688976
Ltd.	0.0675503
Fujitsu	0.0657821
"Allied Signal"	0.0650235
"Softbank Corp."	0.0642566
Seagate	0.0640143
"KLM Royal Dutch Airlines"	0.0634409
AlliedSignal	0.0631752
"Vivendi SA"	0.0631202
Softbank	0.0628326
"Glaxo Wellcome"	0.0619885
"General Electric"	0.0618622
NTT	0.0618328
"Main Events"	0.0617788
"Cox Communications"	0.0615884
"Citigroup Inc."	0.0614226
"Enron Corp."	0.0606586
NCR	0.0605656
Tropicana	0.0603909
Monsanto	0.0603257
"Hongkong Telecom"	0.0597828
IDG	0.0595886
ENTREMED	0.0595174
Cairn	0.0590673
Daimler-Benz	0.058992
Novartis	0.0588397
Kellogg	0.0587086
"Exxon Mobil"	0.058679
"China Unicom"	0.0582942
Providian	0.0581232
"Standard Oil"	0.0579534
Healtheon	0.0579081
Motorola	0.057621
Bertelsmann	0.0575658
Pepsico	0.057403
Astra	0.0573093
"MindSpring Enterprises"	0.0570441
Nortel	0.0570163
"Vanguard Group"	0.0563348
"ELF AQUITAINE"	0.0561752
"De Beers"	0.0560635
Elf-Aquitaine	0.0560295
Ericsson	0.0555583
"Time Warner Cable"	0.0552718
Amway	0.0549635
Alcatel	0.0546161
IAI	0.0546122
Transmeta	0.0545608
Dragonair	0.0545018
"Southern Co."	0.0543194
Nokia	0.0542479
"China Telecom"	0.0541148
"General Motors Corp."	0.0541112
SDB	0.0540557
"SBC Communications Inc."	0.0539779
"Delphi Automotive Systems"	0.0535106
Sumitomo	0.0531979
"Halliburton Co."	0.0531199
Pertamina	0.0530729
CMGI	0.0529444
Halliburton	0.0528981
Pemex	0.0524686
"Ford Motor"	0.0523631
"Johnson &AMP; Johnson"	0.0522853
Checkfree	0.052269
Gazprom	0.0521337
"Qualcomm Inc."	0.0521184
IFC	0.0519645
Webvan	0.0518672
bombardier	0.0515128
corporates	0.0513404
"Phelps Dodge"	0.0511044
"Suzhou Industrial Park"	0.0508277
ICBC	0.0507835
Telmex	0.0504167
Kodak	0.0503777
Seagram	0.0502714
Childress	0.050265
"Dow Corning"	0.0502604
KPA	0.0502133
BNFL	0.0501412
"investment banking"	0.0500646
"Nippon Telegraph"	0.0500328
"Niagara Mohawk"	0.0500256
MetLife	0.0499308
Uunet	0.0498467
Eximbank	0.0497577
Petrofina	0.0497175
"Atlantic Richfield"	0.0496985
"Bell South"	0.0494398
Amgen	0.0494291
"Northern Telecom"	0.0493236
CCB	0.0492872
"Pac Bell"	0.0492438
"Ameritech Corp."	0.0491194
"America Online Inc."	0.0490561
"Daewoo Group"	0.049022
"Network Associates"	0.0487556
"First USA"	0.0486428
EMC	0.0485341
"Mattel Inc."	0.0484862
"Eastman Kodak"	0.048422
"CMGI Inc."	0.0482609
Fiat	0.0480258
"P&AMP;G"	0.0480061
EBRD	0.0478799
Roche	0.0478733
Zeneca	0.0478357
Bridgestone	0.0478278
"Nikko Securities Co."	0.0475744
HP	0.0474978
AstraZeneca	0.0471901
Alcoa	0.0471604
"toy retailer"	0.0468313
"Xerox Corp."	0.0464994
EA	0.0464609
Qualcomm	0.0462883
Vivendi	0.0462839
CitySearch	0.0462666
NCEC	0.0462348
theglobe.com	0.0461228
"Campbell Soup"	0.0461063
Cablevision	0.0460598
Daewoo	0.045777
"Lycos Inc."	0.0457658
"Liberty Media"	0.0456307
"Singapore Airlines"	0.0455326
UBS	0.0454399
Aventis	0.0454387
"Saatchi &AMP; Saatchi"	0.0453843
Unisys	0.0453567
Mitsubishi	0.0453413
"T Corp."	0.0452302
"American International Group"	0.0451256
Reebok	0.044976
"Con Ed"	0.0449028
Delphi	0.0448277
Fedex	0.0447213
CITIC	0.0446933
"Bristol-Myers Squibb"	0.0446669
"Ask Jeeves"	0.0445979
"MCI WorldCom"	0.0444353
Equifax	0.0444137
Walgreens	0.0443044
Stratus	0.0442938
"Dell Computer Corp."	0.044283
"U.S. Fed"	0.0442117
SBC	0.0441414
Arianespace	0.0441358
CSX	0.0440773
"Pitney Bowes"	0.04406
PETA	0.0440287
"Amazon.com Inc."	0.0440071
"Home Depot"	0.0439409
Ba	0.0438014
"Putnam Investments"	0.0437015
NPA	0.0436427
"Toyota Motor Corp."	0.0436393
Gillette	0.0435944
"Global Crossing"	0.0434119
STARMEDIA	0.0432486
"Electronic Arts"	0.0431977
"Comcast Corp."	0.0431675
GANNETT	0.0431472
"NTT DoCoMo"	0.0430884
"transit authority"	0.0430855
"U.S. Defense Department"	0.0430484
Telstra	0.0430317
))
(Caltrans (desc 1130.16) (sims
DEP	0.147585
SSB	0.135698
"J&AMP;J"	0.123411
CAA	0.123358
FEMA	0.123201
"Con Ed"	0.122532
"British Foreign Office"	0.116974
FPL	0.115834
"Housing Authority"	0.109078
"Russian Space Agency"	0.108297
"Con Edison"	0.103787
Massport	0.103766
"Georgia Power"	0.101678
"U.S. Defense Department"	0.101428
Wyeth	0.0987773
"Consolidated Edison"	0.0986434
"Port Authority"	0.0984213
"Culture Ministry"	0.0981334
USTA	0.0975963
BIA	0.0973014
"Health Department"	0.0961165
DS	0.0951576
"Park Service"	0.0949888
"Forest Service"	0.0945551
"Department of Transportation"	0.0939407
"transit authority"	0.0938592
CIRC	0.0927243
USEC	0.0926102
"Texas Department of Public Safety"	0.0919112
"US State Department"	0.0915035
DMV	0.0909459
"U.S. Coast Guard"	0.0909299
ENTERGY	0.0907347
"Department of Corrections"	0.0907102
"Defense Agency"	0.0906925
"Home Ministry"	0.0894864
DP	0.089266
NRC	0.0889651
SDMI	0.0883904
"PG&AMP;E"	0.0878794
HCFA	0.0864793
RIAA	0.086317
NHTSA	0.0860263
"Interior Department"	0.08574
DEA	0.0847861
HKTA	0.0846435
MTA	0.0839545
F.A	0.0832667
"Nuclear Regulatory Commission"	0.0829391
HHS	0.0828811
EBRD	0.0826417
"Immigration Department"	0.082341
CWA	0.0817978
SDPC	0.0814552
"Transport Ministry"	0.0814082
"U.S. Treasury Department"	0.0809858
Overnite	0.0806201
"Labor Ministry"	0.0806008
"U.S. Soccer Federation"	0.0804275
"State Police"	0.0798841
IEC	0.0792184
NTSB	0.0791556
WFP	0.0789796
"National Park Service"	0.0785823
FAA	0.0785602
NCR	0.0783271
"French Foreign Ministry"	0.0780761
"Royal Caribbean"	0.078039
TRW	0.0776791
"Pac Bell"	0.0773913
USDA	0.0769265
TAZARA	0.0762656
CPS	0.0760701
"Federal Aviation Administration"	0.0760643
"Defense Department"	0.0759801
"Transportation Department"	0.0757622
"Israeli Foreign Ministry"	0.0757182
SAA	0.0756663
SBA	0.0756643
"army engineer"	0.0755642
USAID	0.0746777
"Boys Ranch"	0.0740448
"civil defense"	0.074
"Justice Ministry"	0.0739664
OSHA	0.073938
Pemex	0.0738796
Nepa	0.0737724
"Bureau of Land Management"	0.073768
NSA	0.0732873
RJR	0.0732577
NTRA	0.0732275
MII	0.0728731
"Education Department"	0.0728025
Lucasfilm	0.0727839
"Niagara Mohawk"	0.0726825
"Scotland Yard"	0.0725855
"Sara Lee"	0.0723453
Sumitomo	0.072196
AFA	0.0721711
"Alaska Airlines"	0.0716871
"U.S. Air Force"	0.0713684
"Health and Welfare Ministry"	0.0712135
"Waste Management"	0.0712006
DEC	0.0710513
"Census Bureau"	0.0709315
Penney	0.070727
"National Highway Traffic Safety Administration"	0.070373
"U.S. Immigration and Naturalization Service"	0.0703552
"Handgun Control"	0.0699757
midlevel	0.069872
FEC	0.0698408
IDT	0.0696893
"Department of Health"	0.0696775
TDB	0.0695236
INC	0.0694844
NiSource	0.0692574
"Mission Control"	0.0688851
Caldor	0.0688273
OCA	0.0685135
NSC	0.0683553
"Department of Motor Vehicles"	0.0682052
"Department of Public Safety"	0.0676709
ITC	0.067612
"Chinese Foreign Ministry"	0.0674066
UAM	0.0672498
INEC	0.0672345
KONI	0.0669034
Alltel	0.0668085
BOK	0.06676
Amtrak	0.0666409
"KCP&AMP;L"	0.0665911
"customs service"	0.0663173
RCMP	0.0662764
UNAMET	0.0661372
"Energy Department"	0.0659836
teamster	0.0659162
GSS	0.0658495
CDC	0.0658189
MSF	0.065336
Wyeth-Ayerst	0.0652686
ACOG	0.0652351
Pertamina	0.0650654
PETA	0.0649693
"Los Angeles Unified School District"	0.0649321
CBI	0.0649296
PNP	0.0648899
bombardier	0.0648423
"Department of Public Health"	0.0647665
CSX	0.0646377
"P&AMP;G"	0.0646043
ATF	0.0645297
"Phelps Dodge"	0.0644858
PTT	0.0643415
"Southern Co."	0.0643045
AOC	0.0642844
"Gulf Air"	0.064198
Thruway	0.0635943
"World Food Program"	0.0635523
SFA	0.0634784
DFB	0.0634617
workfare	0.0632728
"Russian Defense Ministry"	0.0631487
"Levi Strauss"	0.0630463
CalPERS	0.0630067
"Social Security Administration"	0.06295
"Truth Commission"	0.0629388
Pairgain	0.0627353
GPU	0.0625647
Eskom	0.0625154
Raytheon	0.0623068
FCC	0.0622262
FSA	0.0621418
Ba	0.0619728
"Department of Environmental Protection"	0.0619217
"U.S. Environmental Protection Agency"	0.0618778
CAAC	0.0617439
"U.S. Forest Service"	0.0616678
Bridgestone/Firestone	0.0615206
ENTREMED	0.0614652
"Department of Defense"	0.0614548
"Industry Ministry"	0.0614445
SPC	0.0614278
"Downing Street"	0.0612856
NIH	0.0610321
Providian	0.060996
NARAL	0.0609127
IAI	0.0606659
Maximus	0.060655
Bridgestone	0.0606248
WSU	0.0606108
"Congressional Republicans"	0.0605012
"Iranian Foreign Ministry"	0.0604591
"Atlantic Richfield"	0.060378
"Norfolk Southern"	0.0603678
ACFTU	0.0603207
"Pacific Exchange"	0.0602457
"Gap Inc."	0.0600256
"Agriculture Ministry"	0.0599564
"Washington Mutual"	0.0598961
"U.N. World Food Program"	0.0597951
))
(Calvados (desc 1741.21) (sims
"Grand Marnier"	0.182369
cider	0.167284
"pineapple juice"	0.148902
"cider vinegar"	0.144203
"heavy cream"	0.14377
"white wine"	0.14183
"maple syrup"	0.141742
"apple juice"	0.137613
"chicken stock"	0.134348
"wine vinegar"	0.132008
"chicken broth"	0.130855
Cognac	0.130727
rum	0.130367
"evaporated milk"	0.126076
half-and-half	0.122008
"coconut milk"	0.121962
"corn syrup"	0.121181
"skim milk"	0.120719
sherry	0.117474
"red wine"	0.117372
"tomato juice"	0.116339
"whipping cream"	0.115372
buttermilk	0.11288
brandy	0.112872
"beef broth"	0.109514
panko	0.109015
"peanut oil"	0.107116
"lime juice"	0.105831
"soy sauce"	0.103621
"tomato paste"	0.101465
"orange juice"	0.10075
"Worcestershire sauce"	0.100233
"ice water"	0.0994873
"lemon juice"	0.0993155
liqueur	0.0990678
"pine nut"	0.0984293
"hoisin sauce"	0.0980245
"hot chocolate"	0.097273
"brown sugar"	0.0969847
"beef stock"	0.0945364
vinegar	0.0931859
tequila	0.0931639
"chili powder"	0.0909388
broth	0.0893401
"orange marmalade"	0.0890308
shortening	0.0887769
cocoa	0.0882645
Beaujolais	0.087665
bourbon	0.0866055
"sparkling wine"	0.0859626
whiskey	0.0856754
"Pinot noir"	0.0855439
"sour cream"	0.0847413
vodka	0.0845849
"barbecue sauce"	0.0844459
raisin	0.0841099
"cranberry juice"	0.0839555
mayonnaise	0.0836933
honey	0.0835951
spaetzle	0.0831178
"goat cheese"	0.0829864
currant	0.0827426
"curry powder"	0.0822736
"pumpkin seed"	0.0820134
"chili sauce"	0.0818354
pistachio	0.0811146
breadcrumb	0.0807005
"sesame seed"	0.0805552
"vegetable oil"	0.0802862
ketchup	0.0800296
lemonade	0.0796999
cornmeal	0.0793922
"fruit juice"	0.079269
"tomato sauce"	0.0792036
scotch	0.0787518
"olive oil"	0.0785551
cornstarch	0.0782013
"bean sprout"	0.0781253
whisky	0.077914
"cumin seed"	0.0774148
"blue cheese"	0.0771552
Zinfandel	0.0771331
"root beer"	0.07641
"spaghetti sauce"	0.0762593
hazelnut	0.075685
cappuccino	0.0754477
jelly	0.0742223
lard	0.0739031
paprika	0.073848
molasses	0.0734056
pesto	0.0733814
tahini	0.073211
parsley	0.0729355
yogurt	0.0727868
chutney	0.0727754
crumb	0.0726445
"mineral water"	0.0722301
Riesling	0.0706022
KIMCHI	0.0704568
dill	0.0703013
"fennel seed"	0.0700535
"pepper sauce"	0.0696127
horseradish	0.0695218
croutons	0.0694695
brie	0.0691025
"baking soda"	0.0690748
"wild rice"	0.0674118
"cottage cheese"	0.0669493
peppercorn	0.0669072
raspberry	0.0667
"egg yolk"	0.0664047
grappa	0.0663205
coconut	0.0661607
margarine	0.0658198
"dried fruit"	0.0657988
applesauce	0.0647068
almond	0.0642994
"rocket fuel"	0.0637697
RHUBARB	0.0635633
marshmallow	0.0635261
vermouth	0.0634136
"vanilla extract"	0.0632385
thyme	0.0625561
syrup	0.0623157
chanterelle	0.061946
merlot	0.0615737
"iced tea"	0.0612484
shallot	0.0612114
cola	0.0607562
"peanut butter"	0.060609
"green onion"	0.0603581
kernel	0.0602889
liquor	0.0596221
"green tea"	0.0594841
cilantro	0.0594781
"Sauvignon blanc"	0.0594454
polenta	0.0592646
Chardonnay	0.0591986
absinthe	0.0588637
puree	0.0575547
"snow pea"	0.0575418
salsa	0.0573639
tarragon	0.0570591
preserves	0.0568139
"white rice"	0.0563388
"fortune cookie"	0.0558898
oatmeal	0.055875
"orange zest"	0.0552461
"baking powder"	0.0548231
concoction	0.0543728
Basil	0.0542241
"Vidalia onion"	0.0540863
tapioca	0.05399
florets	0.0534326
walnut	0.0532391
"hot stock"	0.0532031
Moonshine	0.0530876
"coriander seed"	0.0527482
elixir	0.052714
widget	0.0526831
"egg white"	0.0526504
vinaigrette	0.0525191
nectar	0.0525155
"fava bean"	0.0520109
marinade	0.0519969
truffle	0.0519471
espresso	0.0519137
"hot sauce"	0.0518433
"cooking oil"	0.0516977
toffee	0.0515379
vanilla	0.0515233
blueberry	0.0514004
"black olive"	0.051298
Parmesan	0.0512715
ale	0.0510614
"cayenne pepper"	0.050892
ricotta	0.0506356
"potato chip"	0.050616
apricot	0.0505009
cumin	0.0503126
"whipped cream"	0.050051
Masa	0.0500399
turmeric	0.0496541
Kool-Aid	0.0496438
miso	0.0496142
aperitif	0.0493604
tilde	0.0492495
pecan	0.0490757
"macadamia nut"	0.0490725
"office furniture"	0.0490226
Antioquia	0.048943
"red onion"	0.0488324
"food coloring"	0.048747
Cabernet	0.048734
"red pepper"	0.0486427
"Dom Perignon"	0.0486306
"grapefruit juice"	0.048572
bran	0.0482293
fraiche	0.0479756
generics	0.0478558
))
(Calvary (desc 680.067) (sims
Artest	0.137047
Najera	0.134495
Hendrickson	0.118775
Troussier	0.105292
Samuelson	0.104269
Bullard	0.103897
Stoudamire	0.102146
Andreychuk	0.101843
Milbury	0.100497
McInnis	0.0980804
Marinovich	0.0961179
Muoneke	0.0950025
Kuhn	0.0921455
Langdon	0.0888102
Pruett	0.0887899
Braswell	0.088621
Ebenezer	0.0884855
Geiger	0.0876117
Solis	0.0871287
"Big Blue"	0.0857722
Echols	0.0854519
Reinhardt	0.0847466
Langham	0.0847373
Henning	0.0837198
Baerga	0.0836464
Tocchet	0.0822497
Chouinard	0.0821059
Sojo	0.0819654
Antley	0.0816796
Pitney	0.0813406
Sykes	0.0812575
Kluivert	0.0808864
Neel	0.0807817
Duffy	0.0805816
Reichel	0.0805489
Cota	0.0805394
Reimer	0.0804595
Bratton	0.0803204
Szczerbiak	0.0801416
Atler	0.0797179
Kuehne	0.0792294
Croshere	0.0791717
Gorter	0.0790788
Longo	0.0786837
beamer	0.0785794
PRONGER	0.0785749
Eizenstat	0.0784926
Marineau	0.0783341
Stinnett	0.0782153
Cink	0.0781765
Finkel	0.0777112
Bordick	0.0769399
Sehorn	0.0767195
Skiles	0.0766904
Julich	0.0765677
Dunleavy	0.076346
Gervin	0.0762794
Stricker	0.0760274
Ricci	0.0757066
Verney	0.0752044
Heinrichs	0.0750239
Jauron	0.0749013
Polynice	0.0742206
Herron	0.0741225
Westbrook	0.0739377
Sheehan	0.0734511
Stadler	0.0732354
Nailon	0.0732279
Trepagnier	0.0732024
Hartman	0.0730659
"Van de Velde"	0.0730532
Traylor	0.072459
Danner	0.0724492
Fisk	0.0724194
Darnell	0.0724155
Ruehe	0.0722946
Herta	0.0722069
Sydor	0.0721669
Hindery	0.0719306
Tuberville	0.0718807
Felton	0.0717878
Fleischer	0.071472
Haines	0.0711393
Beazley	0.0708533
Shoate	0.0708383
Hornaday	0.0700188
Vasser	0.0700174
Hayworth	0.0699916
Zanardi	0.0696919
Walbeck	0.0696891
McLemore	0.0695391
"Van Sant"	0.0695189
Kukoc	0.0694472
Kimble	0.0693592
Scalabrine	0.0691687
Calcavecchia	0.0691409
McDonnell	0.0689837
Lindland	0.0687928
Sanderson	0.0686079
Kimmel	0.068606
Barros	0.0684318
Bonner	0.0682075
Popovich	0.0681529
Kapono	0.068093
Rossotti	0.0680653
Bergeron	0.0680171
Wenger	0.0680061
Alarcon	0.0678838
Ebersol	0.0677704
capella	0.0677508
Hauser	0.0673973
Munson	0.0672966
DiSarcina	0.0672573
Ceballos	0.0671789
Summitt	0.0668341
Barrie	0.0668173
Sundin	0.0667826
Madsen	0.0664131
Berard	0.0661291
GAGE	0.0660843
Rais	0.0659297
Winn	0.0658342
Zambrano	0.0656197
Ochoa	0.065417
Gilmour	0.06539
Webber	0.0653127
Sabonis	0.0652428
Erving	0.0652353
Zimmerman	0.0650288
Horry	0.0649587
Hazelwood	0.0648881
Newhouse	0.0648752
Wolfson	0.0647421
LeClair	0.0647217
Spiers	0.0646871
Hyman	0.0646664
Bochy	0.0645992
Mandella	0.0645906
Penske	0.0644181
Moreno	0.0643945
Hoch	0.0643003
Thurber	0.0642877
Guthridge	0.0642731
Sykora	0.0642574
Bliley	0.0642525
Rongen	0.0641568
Lowery	0.0641011
"Breda Kolff"	0.0640772
Virenque	0.0640123
Stackhouse	0.0639804
Blume	0.0639322
Romar	0.0638475
Granville	0.0638299
Guerra	0.063823
Feuer	0.0637974
Pederson	0.0637385
Buzek	0.0636434
Majerle	0.0636351
Whitsitt	0.0636195
Swoopes	0.0635666
Weatherspoon	0.0635283
Ferrer	0.0633382
McGriff	0.0633136
McCarron	0.0631045
Sahadi	0.0630479
Constantine	0.0630256
Spano	0.0629035
CBC	0.0628196
Langenbrunner	0.0627992
Gavin	0.06271
Bichette	0.0625567
Holik	0.0625489
Wagoner	0.0624329
Odom	0.0624125
Laudrup	0.0622628
Willard	0.0622136
Boles	0.0621454
Delahunt	0.0621281
Wasserman	0.0620403
Aliotti	0.0617885
Goff	0.0617785
Rosales	0.0617436
Timlin	0.0616868
Gainey	0.061659
DeFrantz	0.0616417
"Hurricane Hugo"	0.0615833
Neilson	0.0613938
Enis	0.0613823
Boller	0.0613729
Rahal	0.0613599
Cui	0.0613479
Cremins	0.0613441
Lamont	0.0613103
Duchesne	0.0612633
Strahan	0.0611923
Merritt	0.061087
Inman	0.061069
Stubbs	0.0610674
Kauffman	0.0609479
Elam	0.0608471
))
(Calvin (desc 3301.66) (sims
Gerald	0.0774825
Carl	0.0663616
Keith	0.0660699
Jeff	0.0645729
Kenneth	0.0640563
Edward	0.0639115
Steven	0.0638824
Ernest	0.0627735
Gwen	0.0613895
Locke	0.0609757
Ed	0.0596694
Arthur	0.0590307
Josh	0.0587197
Patrick	0.0572989
Tommy	0.0568399
Bobby	0.0567035
"Richard Williams"	0.0560608
Dan	0.0557105
Walter	0.0555324
Johnny	0.055529
Albert	0.0551696
Gary	0.0550339
Byron	0.0544514
Theo	0.0543404
Eric	0.0543015
Jim	0.0536311
Liz	0.0532705
Roger	0.0531997
Max	0.0531839
Sam	0.0531237
William	0.0529272
Richard	0.0521707
Mario	0.0520018
Paul	0.0519389
tom	0.0518453
Ken	0.0517739
Ben	0.0517381
Dave	0.0512961
Anthony	0.0512913
Harold	0.0512872
Greg	0.0512605
Marty	0.0512419
Momma	0.0509377
Bruce	0.0506468
Karen	0.0506246
Stan	0.050613
Randy	0.0505833
Rick	0.0504153
Ralph	0.0503541
Jeb	0.0501677
Kenny	0.0497848
Appleby	0.0495329
Robert	0.0495312
Fred	0.0492719
"fellow traveler"	0.0486711
Alex	0.0485573
Erica	0.0485453
Edmund	0.0484193
Jake	0.0483801
Philip	0.0481911
Wayne	0.0480954
Charlie	0.047885
Calcavecchia	0.0478828
Kate	0.0477952
Berle	0.04759
Eddie	0.0475467
Ronald	0.0475331
Antonio	0.0472129
Nietzsche	0.0472076
"George W."	0.0471582
Danny	0.0469825
Brian	0.0468183
Jerry	0.0467147
Gus	0.0466539
Joseph	0.04655
Phil	0.0464019
Juan	0.0462126
"Charlie Brown"	0.0461115
"Yankee Clipper"	0.0457656
Ian	0.0455148
Steve	0.045474
Farris	0.0453653
J.D	0.0453229
Jose	0.0452345
"John Jr."	0.0451205
Dumitru	0.0450229
Doug	0.0449994
Peter	0.0449451
papa	0.0449198
Hans	0.0448723
Sheehan	0.0446509
Harry	0.0445612
Raymond	0.0444971
Karl	0.0443523
Cody	0.0442177
Owen	0.0441475
Kyle	0.0441246
Darryl	0.0441179
"Tinky Winky"	0.0441
Leo	0.0439354
Coffey	0.0436858
Julian	0.0436106
Daddy	0.0436041
Alan	0.043575
Evan	0.043395
al-Tikriti	0.0433436
Gerard	0.0433139
Freud	0.0433111
"Anakin Skywalker"	0.0430701
Darnell	0.0430677
Vivian	0.0430574
Jamie	0.0430341
Virgil	0.0429764
Westphal	0.0427421
Daniel	0.0427083
STUART	0.0427059
Rudy	0.042609
"Cindy McCain"	0.0425833
Derek	0.0424651
Ted	0.0424084
Phillip	0.0423475
Dilbert	0.0423289
Freddie	0.0422859
Sergei	0.0421316
Carlos	0.0420504
Frankie	0.0418461
Cronkite	0.0417144
Dennis	0.0415989
Sean	0.0415204
Frederick	0.0414895
Robbie	0.0413253
Massey	0.0413017
Alexander	0.041283
miniskirt	0.0412723
Christopher	0.0411467
Ethan	0.0411283
Joel	0.0410914
Terry	0.0410892
Barry	0.0410303
Terrell	0.0409015
Louis	0.040764
"Jane Fonda"	0.0407299
Lawrence	0.0406307
Neil	0.0404425
Stella	0.0404316
Kathryn	0.040273
Roy	0.0402079
Alvin	0.0401088
critter	0.0400741
))
("Calvin Coolidge" (desc 1135.88) (sims
"Woodrow Wilson"	0.192406
"Franklin Delano Roosevelt"	0.151292
"Ulysses S. Grant"	0.141562
"Franklin Roosevelt"	0.138396
Katsav	0.135718
"Harry Truman"	0.134468
Coolidge	0.121564
"Franklin D. Roosevelt"	0.117506
"Ricardo Lagos"	0.112907
"Fernando Henrique Cardoso"	0.109491
"Dwight D. Eisenhower"	0.107326
"Lyndon B. Johnson"	0.101407
"Harry S. Truman"	0.0983183
Nkomo	0.0963233
"Gerald Ford"	0.0926152
"Will Rogers"	0.0915993
Muluzi	0.0910249
"Abraham Lincoln"	0.0895803
Nujoma	0.0887021
"Perez Balladares"	0.0880179
"B.J Habibie"	0.0841467
Smitherman	0.0838709
Roosevelt	0.0801837
"Herbert Hoover"	0.0795447
FDR	0.0773114
Eisenhower	0.0770202
Baca	0.0770135
Sharma	0.0765918
Moscoso	0.0760671
"Andres Pastrana"	0.0753214
"Cindy McCain"	0.0751186
Arens	0.0739441
"Kim Dae Jung"	0.0738698
"Dwight Eisenhower"	0.0737132
"Mohammad Khatami"	0.0728507
Kumaratunga	0.0726727
"James P. Hoffa"	0.0713158
"Andrew Jackson"	0.071255
Eyadema	0.0706289
"Abdurrahman Wahid"	0.0698443
"Lech Walesa"	0.069615
"Nikola Poplasen"	0.069112
Iger	0.0689624
"Carlos Menem"	0.068201
Sampaio	0.0677534
Mitterrand	0.0676504
"Theodore Roosevelt"	0.0675662
Aquino	0.067469
Masire	0.0673748
"Jimmy Carter"	0.0670511
Diouf	0.0668423
Kagame	0.0667521
Bouteflika	0.065812
"Franjo Tudjman"	0.0655102
"Olusegun Obasanjo"	0.0651386
Nazarbayev	0.0650939
"John Adams"	0.0642123
"Bashar Assad"	0.0639926
Stephanopoulos	0.0632753
Caray	0.0631542
Hanna	0.0629029
"Hugo Chavez"	0.0625195
Kwasniewski	0.0624912
"John F. Kennedy"	0.0624555
Akayev	0.0621095
Alarcon	0.0618777
Nebiolo	0.061607
Stoyanov	0.0615588
Constantinescu	0.0613326
Shui-bian	0.061254
"George Washington"	0.0609886
Chissano	0.0608101
"Jamil Mahuad"	0.0603583
"Wim Duisenberg"	0.0599628
Zeroual	0.059962
Sebaggala	0.0596529
Milutinovic	0.0596349
"Joao Havelange"	0.0595273
"Krishna Prasad Bhattarai"	0.0595063
"William Jefferson Clinton"	0.0592468
Gujral	0.0590433
Elie	0.0589933
"Megawati Soekarnoputri"	0.0587761
Walesa	0.058712
Obasanjo	0.0583368
Harmoko	0.058333
Reichel	0.0583306
"King Sihanouk"	0.0580677
Narayanan	0.0579544
Zou	0.0578416
"Edmund Ho Hau Wah"	0.0572453
Menuhin	0.0570219
Flores	0.0570089
Franchione	0.0569093
Klestil	0.0566923
"Speaker Ali Akbar Nateq-Nouri"	0.0565169
Karimov	0.0563559
Klima	0.0557923
Hodges	0.0556343
Santorum	0.0555844
BEGAY	0.0554992
Fiorina	0.0552875
"Carlos Salinas"	0.055249
"Lyndon Johnson"	0.0551311
"Orlando Mercado"	0.0550084
Rua	0.0549899
"Ernesto Zedillo"	0.0549138
Bashar	0.0546925
"Charles Taylor"	0.0546313
Patasse	0.0545234
"Hafez Assad"	0.0545227
Taft	0.0544538
Garza	0.0544464
"Yoshiro Mori"	0.0543122
"James Madison"	0.0538979
"Chuck Berry"	0.0538183
"Jacques Chirac"	0.0537763
"Miles Davis"	0.0537228
"Juan Antonio Samaranch"	0.0536157
Koirala	0.0535364
Kerik	0.0535217
Amour	0.0534992
Bhattarai	0.0534399
Sukarno	0.0533623
"Robert Mugabe"	0.0527375
"Adlai Stevenson"	0.0525594
Frei	0.0524476
Marinovich	0.0524117
"Alexander Lukashenko"	0.0523791
leone	0.0521151
Weizman	0.0519839
Postel	0.0518253
Sarazen	0.0517216
"De Klerk"	0.0515798
Intimidator	0.0515688
Ammiano	0.0515191
"Pandeli Majko"	0.051489
"Martti Ahtisaari"	0.0513368
"Massimo D'Alema"	0.0511464
Sealy	0.0509821
Luong	0.0509597
"Mohamed Siad Barre"	0.0508666
Tierney	0.0508581
"two pitchers"	0.0506641
"Dos Santos"	0.0506179
Klemperer	0.0505875
Maruyama	0.0505643
McKinley	0.0505526
Mahuad	0.0504783
Orban	0.0503177
"John Quincy Adams"	0.0503048
"Martin Luther King III"	0.05025
Lahoud	0.0501263
Hasina	0.0499111
"Girija Prasad Koirala"	0.0499005
Middleton	0.0498876
Autry	0.0498392
Popovich	0.0498288
Kaunda	0.0495698
"Mary Robinson"	0.0495323
Bedie	0.0495103
zine	0.0494208
Turabi	0.04939
Conte	0.0493452
Rawlings	0.0493321
Ness	0.0491451
Harrell	0.0490231
"Billie Holiday"	0.0490099
Faget	0.0486447
"old times"	0.0485228
"Eleanor Roosevelt"	0.0482309
Amato	0.0482175
Sezer	0.0481662
Marineau	0.0480579
"Yoweri Museveni"	0.0480108
Meissner	0.0479831
Buicks	0.0478664
"Charlton Heston"	0.0478184
Matthau	0.0477428
"Lokendra Bahadur Chand"	0.0475528
BANDERAS	0.0475395
"Liu Shaoqi"	0.0474051
"Thabo Mbeki"	0.0473919
Spellman	0.047039
Woolf	0.0470133
Mkapa	0.0469778
Puente	0.0469212
"Dan Quayle"	0.0467529
Kaye	0.046543
"Griffith Joyner"	0.046334
"Scarlet Knights"	0.0463112
Chevenement	0.0461562
Duran	0.0461543
Braugher	0.0461203
Ahtisaari	0.0459302
"I.K Gujral"	0.0457229
Katrina	0.0455529
Isaias	0.04555
Julian	0.0454891
"John Sweeney"	0.0454877
))
("Calvin Klein" (desc 9844.54) (sims
"Tommy Hilfiger"	0.264799
"Donna Karan"	0.234348
"Ralph Lauren"	0.206518
"Giorgio Armani"	0.198067
"Jil Sander"	0.189583
"Helmut Lang"	0.189112
"John Bartlett"	0.179011
DKNY	0.167444
"Miuccia Prada"	0.165152
Armani	0.164079
Chanel	0.160672
"Bill Blass"	0.151909
Versace	0.147193
Gucci	0.143858
Renta	0.142018
"Yves Saint Laurent"	0.13778
"Michael Kors"	0.132577
"Isaac Mizrahi"	0.127163
Valentino	0.124693
"Dolce &AMP; Gabbana"	0.122919
Prada	0.111583
"Gianni Versace"	0.108667
Levi's	0.10859
Givenchy	0.101528
"J. Crew"	0.0991689
"Liz Claiborne"	0.0987834
"Banana Republic"	0.0984688
"Louis Vuitton"	0.0979841
"Alexander McQueen"	0.0955279
clingy	0.0945205
"Old Navy"	0.0928223
"Estee Lauder"	0.0928039
Gymboree	0.0927115
"Eddie Bauer"	0.0918484
Fubu	0.0908869
HILFIGER	0.0907847
NIKE	0.0905884
Polo	0.0903403
Lancome	0.0894787
Hanes	0.0893239
"Betsey Johnson"	0.0877967
"Tom Ford"	0.0856772
"Abercrombie &AMP; Fitch"	0.0853874
"Marc Jacobs"	0.0848689
Karan	0.0789352
Reebok	0.0778957
Dior	0.077438
"polka dot"	0.0746496
"Christian Dior"	0.0729886
"Christian Lacroix"	0.0701068
Halston	0.0690578
COUTURE	0.0689117
Nordstrom	0.0685827
Chloe	0.0678694
"Levi Strauss"	0.0674607
slinky	0.06602
"L.L Bean"	0.0655407
rayon	0.0649611
docker	0.0636324
Klein	0.0627688
HERMES	0.0626526
adidas	0.0622231
Benetton	0.0617141
"Brooks Brothers"	0.0614074
"Procter &AMP; Gamble"	0.0612778
Fendi	0.0611604
esprit	0.0597882
denim	0.0596831
Cartier	0.0590873
"Saint Laurent"	0.0587351
sportswear	0.0582952
"Joe Camel"	0.0581485
Sears	0.0578637
perfume	0.0558583
"high fashion"	0.0546548
"navy blue"	0.0537248
plaid	0.0532526
"Handgun Control"	0.0527832
Lexus	0.0522292
"Miller Lite"	0.0517995
piggy	0.0513269
eyewear	0.0512896
Burberry	0.0512117
Gaultier	0.05095
silk	0.0506761
"Peter Lynch"	0.050551
"Pepsi Cola"	0.0501952
Budweiser	0.049609
Lycra	0.0491099
snakeskin	0.0490312
Mattel	0.048932
"Pizza Hut"	0.0489115
L'Oreal	0.0488324
cashmere	0.0482983
"dark blue"	0.0478067
polyester	0.0476219
Levi	0.0474085
hosiery	0.0473743
apparel	0.0472613
Kmart	0.0469325
DoubleClick	0.0467249
menswear	0.0465894
Domino's	0.0464245
"Kentucky Fried Chicken"	0.0463414
"Saks Fifth Avenue"	0.0459942
lingerie	0.045914
Clinique	0.0454955
Lauren	0.0450266
leather	0.0447941
"American Express"	0.0447321
"Food Lion"	0.0439584
spandex	0.0439007
Volkswagen	0.0436606
lauder	0.0436464
"Burger King"	0.0435206
flannel	0.042827
"New Balance"	0.0424696
"J.C. Penney"	0.0424338
Coca-Cola	0.0421418
"Taco Bell"	0.0420849
linen	0.041924
"Jimmy Buffett"	0.0418843
suede	0.0416688
"General Motors"	0.041322
Pepsi	0.0410371
"Martha Stewart"	0.0406764
BellSouth	0.0406125
"Pottery Barn"	0.0403872
taffeta	0.0402809
emachines	0.0401479
Transmeta	0.0400425
))
(calypso (desc 3612.45) (sims
merengue	0.194003
Reggae	0.184202
SKA	0.177262
Zydeco	0.139183
rhythm-and-blues	0.139067
mariachi	0.13436
flamenco	0.133962
techno	0.122904
Afro-Cuban	0.122187
samba	0.119532
salsa	0.11918
"R&AMP;B"	0.118773
rumba	0.118357
Funk	0.117855
klezmer	0.113975
bluegrass	0.113798
polka	0.111294
mambo	0.107431
NOVA	0.107257
gospel	0.106039
disco	0.100895
Jazz	0.0969473
"rock and roll"	0.0964459
Cajun	0.0962229
Latin	0.0946463
"folk song"	0.0934109
tango	0.0927737
honky-tonk	0.0926694
"big band"	0.0919534
"Tin Pan Alley"	0.0918649
Motown	0.0890177
uptempo	0.0887831
bebop	0.0887532
karaoke	0.0880799
"rock 'n' roll"	0.0871389
bluesy	0.0868127
"folk music"	0.0860023
hip-hop	0.0826933
"country music"	0.0815743
bagpipe	0.0783255
rock-and-roll	0.0778049
percussion	0.076416
"Beijing Opera"	0.0757203
oldies	0.0730225
boogie	0.0719105
waltz	0.070214
bolero	0.067146
"musical theater"	0.065425
"chamber music"	0.0652285
"Beach Boys"	0.0649205
cabaret	0.0632843
Yiddish	0.062977
bop	0.0627943
singsong	0.0627466
ballad	0.0606932
ragtime	0.0605722
Beatles	0.060265
cappella	0.0601772
kitschy	0.0586071
oratorio	0.0585937
"folk dance"	0.0582577
"Dirty Bird"	0.0574359
"popular music"	0.0570208
"dance music"	0.0569509
"Van Halen"	0.0567573
"Old World"	0.0564811
"Burt Bacharach"	0.0559503
pulsing	0.0550816
vaudeville	0.0538012
electronica	0.0530341
"pop music"	0.0525744
Celtic	0.051815
scat	0.0516704
"classical ballet"	0.0516314
"Cole Porter"	0.0515974
"classical music"	0.0515831
trance	0.0514503
"song and dance"	0.0502011
Chorale	0.0500879
"Beastie Boys"	0.0497109
Berber	0.0493649
hardcore	0.0486998
"UNIX operating system"	0.0473975
Lullaby	0.0472336
"brass band"	0.0471786
operetta	0.0469194
"modern dance"	0.0464548
grunge	0.046202
"musical comedy"	0.0460962
"West Side Story"	0.0455842
"Middle Eastern"	0.0454499
hymn	0.0454166
"Woody Guthrie"	0.0453661
Wagnerian	0.0450277
Gaelic	0.0449668
Mexican-American	0.0446081
"Hank Williams"	0.0445834
Arabic	0.0445619
Ellington	0.0445414
retro	0.044411
lilac	0.0442443
"martial art"	0.0436236
acrobatics	0.043499
Gershwin	0.0434924
"bubble gum"	0.0431826
Bard	0.04291
masquerade	0.0428765
zeppelin	0.0428592
gangsta	0.0427552
fusion	0.0427061
Showboat	0.0422716
cantata	0.0417675
bodybuilding	0.04169
"Bob Marley"	0.0414477
troubadour	0.0412185
"Jimmy Buffett"	0.0412161
"Phil Collins"	0.0411336
aqua	0.0411143
"old country"	0.0410727
raunchy	0.0409746
Zulu	0.0407806
Potvin	0.0407176
mime	0.0405779
chartreuse	0.0405752
Hammerstein	0.0405077
Americana	0.0403164
bravura	0.0400991
punk	0.0400438
))
(cam (desc 8231.14) (sims
valve	0.0696608
Webcam	0.0639682
Zeng	0.0613529
Kasoulides	0.0603566
Siazon	0.0595867
Meguid	0.0594192
Zou	0.0577424
"Igor Ivanov"	0.0563941
V@	0.0550611
"Tang Jiaxuan"	0.0550038
Jovanovic	0.0548624
potty	0.054787
Ruehe	0.0533264
websites	0.0529619
camcorder	0.0520037
"Kamal Kharrazi"	0.0518023
"video screen"	0.0514058
Jayakumar	0.0512646
Rifkind	0.0502062
"Bizima Karaha"	0.0493746
shredders	0.0492507
Qian	0.0490961
Projector	0.0490645
"Joschka Fischer"	0.0488884
Qiao	0.048382
Brittan	0.048306
Shi	0.0482779
thermometer	0.0477004
Shaath	0.0474357
Khai	0.0469848
"Secretary General Esmat Abdul-Meguid"	0.0468535
spotter	0.0468131
Ashrawi	0.0466864
Kono	0.0466226
Abdel-Meguid	0.0465291
defibrillator	0.0462836
wen	0.0459539
Surin	0.0458865
"Tim Fischer"	0.045401
MP@	0.0453967
Ivanov	0.0452167
Vedrine	0.0451308
"software package"	0.0450825
Cui	0.0450738
postings	0.0449901
Jia	0.0449482
webcams	0.044947
Luo	0.0443305
Kharrazi	0.0440181
Komura	0.0438066
cylinder	0.0436757
Rong	0.0435782
Pangalos	0.0435018
blinder	0.0434857
"guardian angel"	0.0433972
"Lee Hsien Loong"	0.0433735
floodlight	0.0433157
tang	0.0433035
Aziz	0.043247
Klima	0.0429888
afterburner	0.0425456
connector	0.0423232
"Qian Qichen"	0.0422439
gasket	0.0420498
"software product"	0.0419277
"David Levy"	0.0418591
pushcart	0.0417888
printer	0.0416974
"Palm Pilot"	0.0416112
"engine failure"	0.0415296
"Tariq Aziz"	0.0413727
recorder	0.0413685
"tape recorder"	0.0412625
Nazarbayev	0.0411293
horoscope	0.0411037
"fax machine"	0.0410143
"Ieng Sary"	0.0408445
"television set"	0.0408322
camcorders	0.0407836
Velayati	0.0407705
Hung	0.0406907
"electronic device"	0.0406119
transmitter	0.0406018
faucet	0.0404443
kiosk	0.0402908
"bulletin board"	0.0402707
"consumer electronics"	0.0402406
Centerfold	0.0400577
Inline	0.040007
"air pressure"	0.0400034
))
(Camacho (desc 2161.63) (sims
Ruehe	0.141188
Passarella	0.132758
Rongen	0.126269
Advani	0.124544
Finkel	0.121987
Ribbeck	0.12194
Tapia	0.121606
Skiles	0.12028
Troussier	0.119962
Romar	0.118825
Eizenstat	0.118739
Mikhailov	0.118087
Naumann	0.113674
Hiddink	0.113347
Kazhegeldin	0.111082
Vogts	0.110361
Joklik	0.109096
Mayweather	0.109031
Monson	0.108991
Karpov	0.108191
Guthridge	0.104877
BURNHAM	0.104464
Hauser	0.104195
Milbury	0.10407
Ivester	0.10402
Ikeda	0.102956
"Brian Cashman"	0.10284
Sorensen	0.102703
Harrick	0.102637
Khalil	0.1018
Schottenheimer	0.101252
Rosenblatt	0.101227
Severino	0.100655
Shayler	0.10022
Kodikian	0.100075
Colangelo	0.0990051
Maldini	0.0984376
Wagoner	0.0980961
Sassa	0.097654
Popovich	0.0976368
Ceballos	0.0974773
Solis	0.0974377
Espinosa	0.0971621
Gullit	0.0965472
Byrdsong	0.0960851
Druckenmiller	0.0957778
Schaeuble	0.095763
Harmoko	0.0956527
Alford	0.0952705
Eappens	0.0952576
Robson	0.0952109
Milutinovic	0.095073
Mandelson	0.0938489
Pruett	0.0929737
Valenzuela	0.0929435
Bronfman	0.0928262
Lazarenko	0.0921407
Podesta	0.0919211
Sherrill	0.0913777
Hoddle	0.0912674
Talebi	0.0909169
Contreras	0.090855
Zenga	0.090831
Kessler	0.0906714
Yoo	0.0904167
Sheehan	0.0901843
hodgson	0.0900236
Kern	0.0897956
Slaney	0.0897021
Kasparov	0.0896185
Silas	0.0894538
Patel	0.0893872
Irvan	0.0892603
Koirala	0.089138
"De Soto"	0.0888449
Venables	0.0888053
Kasoulides	0.0887919
Keenan	0.0886373
Ebersol	0.088574
Quartey	0.0884089
Pippig	0.08836
Gorman	0.0880013
Haney	0.0878945
Ackerman	0.0878262
Rothenberg	0.0877569
Menchu	0.0877151
Arnett	0.0875587
Kurtz	0.0872797
Wenger	0.0872233
Capano	0.0871811
Sather	0.0871537
D'Alessandro	0.0864563
Kagalovsky	0.0863837
McCurry	0.0862942
Hagen	0.0861708
Cubas	0.086158
Lim	0.0859285
"Cindy McCain"	0.085911
Ruelas	0.0858229
Bakaly	0.0858154
Chmura	0.0857844
Tomba	0.0856956
Hiett	0.0854176
Glaser	0.0853616
Catacosinos	0.0853417
Sakic	0.0850495
Insulza	0.0849512
Layden	0.0848309
Jenoff	0.0847507
Coelho	0.0847246
Sharma	0.0847242
Callaghan	0.0847196
Leyland	0.0845571
Faget	0.0845524
Godfrey	0.0844069
Fabius	0.0843826
Doohan	0.0842292
Sanan	0.0840115
ISSEL	0.0839858
Schott	0.083943
Meskini	0.0838367
Zacarias	0.0836577
Solich	0.0836434
Verney	0.0834097
Whitaker	0.0832868
Martz	0.083237
Alarcon	0.0832318
Cabrera	0.0832034
Meissner	0.083179
Singson	0.0830916
Duran	0.0830869
"De La Hoya"	0.0829947
Caddell	0.0829602
Penders	0.0829059
Manley	0.0828327
DeBerg	0.0826764
Zambrano	0.0826424
Sato	0.082552
Zadornov	0.0824941
Choate	0.0824762
Nikitin	0.0824169
Dunleavy	0.082369
Cooley	0.0822898
Kimes	0.0822818
Chadwick	0.0821658
Marinovich	0.0821062
Conley	0.0819802
Montiel	0.0817858
Ganga	0.0817308
Gotti	0.0815748
Wolfson	0.0815021
Scharping	0.0814844
Pittman	0.0814184
Neulander	0.0813716
Strahan	0.0812519
Morrison	0.08115
"Ruiz Massieu"	0.0811451
Sharansky	0.0810257
Berenson	0.0810103
Ayala	0.0809681
Jauron	0.0809435
Rodionov	0.0808137
Safir	0.0807833
Donohue	0.0807181
Nkomo	0.0806085
Harrelson	0.0805882
Condit	0.0805721
Musa	0.080449
Rambis	0.0804405
Mendez	0.0804118
Gujral	0.0803256
Caldera	0.080052
Reimer	0.079971
Sheppard	0.0798906
Billick	0.079736
Olsen	0.0797228
Arens	0.079649
Clemente	0.0796219
Tran	0.0795985
"Jim Harrick"	0.0795404
Calhoun	0.0795075
Jeffers	0.0793435
Sakakibara	0.0792797
Keegan	0.079275
Olano	0.0792287
Koskinen	0.0792181
Kesri	0.0791343
Fernandes	0.0790672
"Al Fayed"	0.0790505
Bowden	0.0789182
Hoffmann	0.078772
Masur	0.0787416
Haskins	0.0786558
"Breda Kolff"	0.0786146
Alves	0.0785118
Gillick	0.0784338
Beckenbauer	0.078215
Soyinka	0.0777419
Kiareldeen	0.0777305
Bubb	0.0777007
))
(camaraderie (desc 11859) (sims
teamwork	0.0952018
intimacy	0.0922895
togetherness	0.0910985
excitement	0.0892482
rapport	0.0876506
loyalty	0.0825679
compassion	0.0818081
pride	0.0781379
cohesion	0.0774192
empathy	0.0769052
"personal relation"	0.0762794
spontaneity	0.0761128
brotherhood	0.0755755
neighborliness	0.0752415
enthusiasm	0.0748408
Chemistry	0.0741084
passion	0.07396
give-and-take	0.0731174
Creativity	0.0729245
professionalism	0.0716902
familiarity	0.0716187
affection	0.0716184
warmth	0.0709366
goodwill	0.0708301
confidence	0.0703035
bonding	0.0700602
individuality	0.0698994
playfulness	0.06963
"team spirit"	0.0692066
courage	0.0691834
happiness	0.0684077
friendship	0.0680103
"good will"	0.0677121
cohesiveness	0.0675381
emotion	0.0673806
commonality	0.0672542
kinship	0.0669285
athleticism	0.0662387
reverence	0.0660094
selflessness	0.0658794
optimism	0.0658368
interaction	0.0655842
thrill	0.0655541
toughness	0.065543
pathos	0.0653423
oneness	0.0652274
companionship	0.0650512
humor	0.0649322
"sense of responsibility"	0.0647699
Romance	0.0643963
dedication	0.0642988
unselfishness	0.0636233
banter	0.0634838
self-esteem	0.0634361
closeness	0.0630071
spirit	0.0630057
euphoria	0.0629054
unity	0.062717
rivalry	0.0626276
patriotism	0.0625187
unreality	0.0624422
humility	0.0623311
mind-set	0.0621456
sisterhood	0.0618274
joy	0.0617395
admiration	0.0614584
solidarity	0.061409
nostalgia	0.0612744
trepidation	0.0610948
exhilaration	0.0608996
hopefulness	0.060772
elation	0.0606753
creativeness	0.0605015
determination	0.0603212
self-worth	0.0601044
powerlessness	0.0598279
atmosphere	0.059775
sincerity	0.0596799
Openness	0.059585
dignity	0.0590454
diversity	0.0590256
cockiness	0.0589588
bravado	0.0589532
self-confidence	0.0588739
lightness	0.0587473
fun	0.0587253
candor	0.0587157
jealousy	0.0585638
self-respect	0.0585172
swagger	0.0583989
sadness	0.0582579
laughter	0.0580254
honesty	0.0578701
bipartisanship	0.0578213
suspense	0.0575653
bonhomie	0.0574106
generosity	0.0573735
stamina	0.057341
prestige	0.0572795
pleasure	0.0572659
curiosity	0.0572595
anguish	0.0571858
urgency	0.0568485
fatalism	0.0568115
demeanor	0.0567558
understanding	0.056657
anxiety	0.0566111
charisma	0.0565228
intensity	0.0564277
sophistication	0.0563777
cachet	0.0561766
resentment	0.0560629
alienation	0.0560212
fascination	0.0560092
tenacity	0.0559692
collegiality	0.0558259
collaboration	0.0557914
discipline	0.0556733
charm	0.0556293
cordiality	0.0555557
tolerance	0.0553644
patience	0.0553123
envy	0.0552612
continuity	0.0550347
sentimentality	0.0550028
vitality	0.054974
spirituality	0.0546953
normality	0.0546256
motivation	0.0545524
theatricality	0.0545254
clout	0.054444
sportsmanship	0.0544113
mentality	0.0543999
"sense of humor"	0.0543422
friendliness	0.0541915
grit	0.0541644
karma	0.0540312
aggressiveness	0.0539491
serenity	0.0538634
mindset	0.0538114
irony	0.0538054
tenderness	0.0536957
notoriety	0.0532808
personality	0.0532049
flexibility	0.0531636
morale	0.0528537
comfort	0.0527093
invincibility	0.0526441
self-discipline	0.0526396
angst	0.0525439
contentment	0.0524794
"mutual understanding"	0.0524396
civility	0.0524253
grandeur	0.0523908
frustration	0.0522307
uneasiness	0.0522287
affinity	0.052023
unanimity	0.051999
acumen	0.0519743
freshness	0.051934
comity	0.0519126
exuberance	0.0517706
harmony	0.051696
intrigue	0.0515301
altruism	0.0515132
"hard work"	0.0512233
entrepreneurship	0.05115
perseverance	0.0510957
anticlimax	0.0510508
connectedness	0.0510401
weariness	0.0510228
craziness	0.0509798
kindness	0.0508715
sameness	0.05073
synergy	0.0506629
ambivalence	0.0505843
interdependence	0.0504963
good-neighborliness	0.0504889
subtlety	0.0504034
"guardian angel"	0.050319
heartache	0.0502984
sympathy	0.050198
ethos	0.0500374
tranquillity	0.050004
composure	0.0498896
fervor	0.0498621
spunk	0.0498507
competence	0.0498506
devotion	0.0497582
informality	0.0497366
dissension	0.0496965
consistency	0.0496094
idealism	0.0495378
"good fortune"	0.049525
nervousness	0.049426
ambience	0.0494035
savvy	0.0493133
beauty	0.0492854
animosity	0.0490823
maturity	0.0490795
))
(Camarillo (desc 1547.55) (sims
Calabasas	0.211514
"Simi Valley"	0.171588
Oxnard	0.167976
"Mission Viejo"	0.160372
"Westlake Village"	0.155346
Emeryville	0.144074
"Thousand Oaks"	0.135215
Encino	0.134198
Ojai	0.131076
Reseda	0.127567
"Van Nuys"	0.126469
"Sherman Oaks"	0.124761
"North Hollywood"	0.123233
"Manhattan Beach"	0.122231
"Walnut Creek"	0.11878
Sunnyvale	0.117962
"La Jolla"	0.116253
"South San Francisco"	0.115513
"Santa Clarita"	0.11543
Cupertino	0.115386
Burbank	0.113976
Carlsbad	0.110262
"Huntington Beach"	0.109218
Tarzana	0.108633
Kensington	0.106691
"Pacific Palisades"	0.10539
"Boynton Beach"	0.10323
Sausalito	0.103086
"Marin County"	0.100588
"Santa Ana"	0.0990935
"San Luis Obispo"	0.0988773
"Century City"	0.0982371
Chatsworth	0.0980787
"Riverside County"	0.0977596
"Studio City"	0.0975501
"Culver City"	0.0971583
"Granada Hills"	0.0971077
oceanside	0.096844
Vallejo	0.0965095
"Mill Valley"	0.0952662
Palmdale	0.0949758
Bakersfield	0.0938945
Brentwood	0.0933865
"West Hollywood"	0.0923491
"Mountain View"	0.09183
Woodside	0.0911521
Fullerton	0.0911206
Modesto	0.0888735
"Santa Monica"	0.0875245
"San Marcos"	0.0872407
Torrance	0.0872393
"Woodland Hills"	0.0872232
"San Carlos"	0.0869416
Pleasanton	0.0867853
"Newport Beach"	0.0858946
Antioch	0.0849622
"Camp Pendleton"	0.0844095
Pasadena	0.0842603
Hillsborough	0.0836444
"San Mateo"	0.0831929
Redding	0.0823965
Fremont	0.082318
riverside	0.0812415
Inglewood	0.0809233
seaside	0.0803339
Chico	0.0803313
"Menlo Park"	0.0784174
Fontana	0.0783265
Malibu	0.0771268
Rey	0.0764204
"Sonoma County"	0.0760042
Pomona	0.0757919
"San Rafael"	0.0749991
"Palm Springs"	0.074897
Monterey	0.0748887
"El Segundo"	0.0732572
Carmel	0.072939
Englewood	0.0723665
Burlingame	0.0720932
Fresno	0.0716937
ARCADIA	0.071667
"Santa Clara County"	0.07128
Petaluma	0.0711599
"Overland Park"	0.0710955
"Santa Clara"	0.0707798
"Palo Alto"	0.0707351
Downey	0.0706737
LAKEWOOD	0.0695872
"Orange County"	0.0691135
"Redwood City"	0.0689955
Napa	0.0689078
Northridge	0.0683076
"South End"	0.0678044
Tokaimura	0.0676778
Danville	0.0676322
Stafford	0.0663317
Carrollton	0.0653002
Glendale	0.0649597
Yonkers	0.0644457
"Santa Rosa"	0.0637683
"Union City"	0.0637334
Alameda	0.0631721
cypress	0.0627474
Claremont	0.0620321
Eureka	0.0617433
"East Boston"	0.06146
Westlake	0.0613341
"Research Triangle Park"	0.0611293
Farmington	0.0605259
lakeside	0.0603953
"Paradise Valley"	0.05978
Framingham	0.0597533
Hayward	0.0590901
Lansing	0.0587181
Alpharetta	0.0586927
Lenexa	0.0585219
Pittsburg	0.0584429
"Indian Wells"	0.0583739
Atherton	0.0581018
Montclair	0.0578162
Vitoria	0.0570741
"San Fernando"	0.0569265
"East Los Angeles"	0.05674
Norwalk	0.0566085
Irvine	0.0565191
Dunkirk	0.0563236
Easton	0.056245
Bloomington	0.0560495
"Lake Tahoe"	0.0560337
Westfield	0.0558891
Flushing	0.0558136
Lafayette	0.0556083
Salinas	0.0549898
"Saratoga Springs"	0.0547616
"South Boston"	0.0546489
"Ventura County"	0.054505
Quincy	0.054338
Falmouth	0.0542909
"Sun City"	0.0542713
"Santa Cruz"	0.0536046
Folsom	0.0532118
"Santa Barbara"	0.0532022
Valencia	0.0531973
Kettering	0.0527582
"Santa Maria"	0.0526338
"San Pedro"	0.052506
"Bel Air"	0.0524753
"Northern Virginia"	0.0524275
Coronado	0.0522243
Westwood	0.0518119
Scottsdale	0.0517174
Tempe	0.0516406
Cheshire	0.0516274
Fenton	0.0515085
Leawood	0.0514662
Derry	0.0514135
"Fall River"	0.051034
Fayetteville	0.0509109
Decatur	0.050814
Carthage	0.0507919
Plano	0.0506858
"Oak Ridge"	0.0505714
Middletown	0.0505037
Chappaqua	0.050438
Charlestown	0.0502718
Hattiesburg	0.0502051
Matamoros	0.0496662
Lynchburg	0.0494118
Sonoma	0.0490183
"Hollywood Hills"	0.0488078
Lawrenceville	0.0487785
Morristown	0.0486528
"Napa Valley"	0.0485964
Norcross	0.0484441
Covington	0.0481626
Waltham	0.0480519
meridian	0.0479427
Dorchester	0.0476719
Hawthorne	0.0475457
Paterson	0.0472012
"Del Mar"	0.0470504
Compton	0.0469966
Hanford	0.0469426
"Palm Beach Gardens"	0.0468947
Dearborn	0.046767
Longview	0.0466883
Smyrna	0.0466802
Dunwoody	0.046609
Bridgewater	0.0465183
Westminster	0.0464421
Tarrytown	0.0464241
Macon	0.046355
Dalton	0.0462963
"New Haven"	0.0459343
Needham	0.0456882
"San Miguel"	0.0455565
Waterbury	0.045529
"Westchester County"	0.045519
Fillmore	0.0453268
"South Bronx"	0.0451725
))
(Camaro (desc 1893.8) (sims
corvette	0.155754
"Ford Mustang"	0.136165
Thunderbird	0.132508
Mustang	0.120024
"Toyota Corolla"	0.108051
"Honda Accord"	0.105926
"Lincoln Town Car"	0.101116
"Ford Taurus"	0.0989497
Buick	0.0984646
burro	0.0972895
"Honda Civic"	0.0971392
Porsche	0.0966324
"Ford Escort"	0.0959557
Oldsmobile	0.0947746
lawnmower	0.0940783
"Jeep Cherokee"	0.0931922
impala	0.090468
"Volkswagen Beetle"	0.0898699
"Chevrolet Monte Carlo"	0.087032
Firebird	0.0860879
Lexus	0.0854219
Mercedes	0.0841889
"Mercedes Benz"	0.0823968
Taurus	0.0822155
Cadillac	0.0805314
Miata	0.079804
C@@	0.0788028
"sports car"	0.0775586
Acura	0.0771942
hardtop	0.0769674
GT	0.076703
RV	0.0764953
"station wagon"	0.0760642
"New Beetle"	0.0760512
convertible	0.0752572
"Ford Focus"	0.073522
Mercedes-Benz	0.0726263
Hummer	0.0726012
"stock car"	0.0717854
"Ford Expedition"	0.0708821
"Ford Explorer"	0.0699664
Z@@	0.0695565
Saab	0.0689559
DeVille	0.0687251
Packard	0.0686069
Z@	0.0683432
"Lincoln Navigator"	0.0679564
"Land Cruiser"	0.0659964
BMW	0.0656307
Chevrolet	0.0639461
"pickup truck"	0.063884
"Jeep Grand Cherokee"	0.0637083
"sled dog"	0.0634664
BMWs	0.0633761
"racing car"	0.063199
Bentley	0.0631539
hatchback	0.0629835
undershirt	0.0626906
"Chevrolet Suburban"	0.0626713
Jaguar	0.0624781
minivan	0.0621772
"lawn mower"	0.0619714
hearse	0.0614164
coverall	0.0613056
Honda	0.0612377
"king salmon"	0.0605493
Sim	0.0604729
jeep	0.0598056
Ferrari	0.0597121
"dress shirt"	0.0596733
bandanna	0.059499
"preferred stock"	0.0592412
Play-Doh	0.0591731
"M&AMP;M"	0.0584834
"Rolls Royce"	0.0582155
cougar	0.0581262
"clock tower"	0.0578635
grout	0.057719
Lamborghini	0.0577095
beetle	0.0576846
"love seat"	0.0576439
limousine	0.0576285
Chevy	0.0569397
"Star of David"	0.0567313
"hard hat"	0.0566542
bandana	0.0565413
roadster	0.0564851
SUV	0.0560489
Stagecoach	0.0558129
"Land Rover"	0.0554035
wristband	0.0553664
sweatshirt	0.0550217
"dress uniform"	0.0548805
baby-boomers	0.0546519
thunderbolt	0.0543616
"boxing glove"	0.0543615
Fez	0.0543346
"moving van"	0.0543087
"hypodermic needle"	0.0541796
"tissue paper"	0.0538475
Airstream	0.053648
"school bus"	0.0534501
subcompact	0.0533418
Porsches	0.0532553
impatiens	0.0530987
Pontiac	0.0529214
Anglo-Saxon	0.0528188
Caddy	0.052444
"King Kong"	0.0523676
"preferred shares"	0.0523396
fedora	0.0521902
turbo	0.0518946
Zinfandel	0.0518529
"computer business"	0.0515977
"race car"	0.0515746
forklift	0.0515012
mini-van	0.051466
"standing room"	0.051399
TT	0.0509243
smock	0.0506694
"picket fence"	0.0506526
parachutist	0.0505653
bellbottoms	0.0504201
"feather boa"	0.0502039
"line of work"	0.0501419
"piece of cloth"	0.0501376
"garbage truck"	0.050015
Rolls-Royce	0.049971
Prius	0.0499659
turban	0.0499144
megaphone	0.0497189
two-seater	0.0493814
"fire ant"	0.04922
"mountain bike"	0.0490946
beret	0.0490531
"patrol car"	0.048978
sable	0.0488745
corduroy	0.0487716
Cruiser	0.0486591
Volvo	0.0486424
"mink coat"	0.0484754
biplane	0.0484409
bib	0.0482484
tux	0.0481816
"summer house"	0.048093
"ranch house"	0.0480282
"lynch mob"	0.0479199
"soccer ball"	0.0477603
double-decker	0.0477304
"Washington Senators"	0.0476407
Ferraris	0.0475261
Passat	0.047412
wainscoting	0.0473252
Chrysler	0.047256
sleigh	0.0472321
segregationist	0.0471007
"baseball cap"	0.0470141
carnation	0.046948
"hot rod"	0.0469226
Musgrove	0.0469084
"Lusaka Peace Accord"	0.0468633
clunker	0.0467619
tricycle	0.0465509
Kite	0.0464855
gibberish	0.0463842
mitten	0.0460476
Limo	0.0460372
"golf ball"	0.0460061
led	0.0459967
"dirt track"	0.0459953
jag	0.0458948
"debt issue"	0.0458926
suburbanite	0.0458659
spinnaker	0.0458468
powerboat	0.0458138
pantyhose	0.0456565
"Miami Arena"	0.0456466
"Monte Carlo"	0.0456287
"bow tie"	0.0455046
Centerfold	0.0454812
Sash	0.0454519
Powerbook	0.0454449
"power unit"	0.0453103
moped	0.0452048
Audi	0.0451828
chaise	0.0450407
"nail polish"	0.0449033
handkerchief	0.0448964
"Bengal tiger"	0.0448402
pajamas	0.0448122
"quarter horse"	0.0447942
debenture	0.0447604
opal	0.0447454
caftan	0.0447346
Opel	0.0447123
speedboat	0.0447019
skateboard	0.0446419
V@@	0.0445478
Pigskin	0.0444926
underpants	0.044477
))
(Cambodia (desc 63388.7) (sims
Laos	0.217534
Myanmar	0.195654
Vietnam	0.190208
Bangladesh	0.189181
Thailand	0.187289
Angola	0.185547
Indonesia	0.184614
Nepal	0.182559
"Sri Lanka"	0.179448
Mozambique	0.178265
Afghanistan	0.1762
Malaysia	0.175585
Pakistan	0.173969
Sudan	0.173164
Ethiopia	0.170602
Mongolia	0.170241
Zambia	0.169527
Egypt	0.168058
Algeria	0.162806
Peru	0.162738
"African country"	0.162606
Brunei	0.160364
Iran	0.160288
China	0.160256
Kenya	0.158729
Zimbabwe	0.158622
"Sierra Leone"	0.158254
"South Africa"	0.15632
Nigeria	0.155989
India	0.155501
Haiti	0.155132
Philippines	0.155042
Albania	0.153721
Liberia	0.153615
Congo	0.153264
Burundi	0.15252
Namibia	0.151616
Colombia	0.151069
Lebanon	0.150983
Somalia	0.150965
Poland	0.150504
Tanzania	0.150429
Uganda	0.148538
Zaire	0.14709
country	0.144884
Nicaragua	0.14457
Rwanda	0.14375
Bulgaria	0.143138
Romania	0.142878
Ukraine	0.142261
Yemen	0.142176
Hungary	0.141689
Russia	0.141613
Iraq	0.141228
Kuwait	0.140481
Panama	0.140094
"Saudi Arabia"	0.140015
Burma	0.139079
Turkey	0.138764
Libya	0.138475
"South Korea"	0.138039
Cuba	0.13704
Bosnia	0.13631
Yugoslavia	0.13621
Mexico	0.136176
Chile	0.135934
Singapore	0.135874
Lesotho	0.135157
"Papua New Guinea"	0.134965
"African nation"	0.133902
"East Timor"	0.131951
Tajikistan	0.131687
Ghana	0.130823
"Asian country"	0.130235
Cyprus	0.130223
Africa	0.130016
Venezuela	0.129722
Guatemala	0.128855
Japan	0.128326
Syria	0.128209
Kazakhstan	0.127829
"Viet Nam"	0.126389
Taiwan	0.125344
Israel	0.124007
Ecuador	0.123739
Malawi	0.123677
DRC	0.123173
Greece	0.122977
"North Korea"	0.122488
Guinea-Bissau	0.122255
"Asian nation"	0.121997
Botswana	0.121944
Australia	0.121776
Kyrgyzstan	0.120626
Brazil	0.120041
"Hong Kong"	0.119742
"El Salvador"	0.119125
Bahrain	0.119035
Swaziland	0.11855
Argentina	0.118096
Oman	0.117931
Kingdom	0.117291
Honduras	0.117217
Bhutan	0.117122
Croatia	0.116925
Canada	0.116471
Togo	0.116451
Maldives	0.116447
region	0.116087
Korea	0.116006
Macedonia	0.11567
"New Zealand"	0.115249
Fiji	0.11515
Britain	0.115063
Mali	0.115025
Armenia	0.114599
Eritrea	0.114434
Tibet	0.114269
Chechnya	0.113413
Republic	0.113334
Kosovo	0.112596
Niger	0.11217
Madagascar	0.111847
Serbia	0.111371
Mauritius	0.111158
DPRK	0.11068
Bolivia	0.110671
"Northern Ireland"	0.11061
Austria	0.110409
Jordan	0.110254
Tunisia	0.109601
Qatar	0.10862
Azerbaijan	0.1086
Belarus	0.108277
ASEAN	0.108073
Guinea	0.108041
Portugal	0.107872
"Republic of Korea"	0.107858
"United States"	0.107815
Gabon	0.107718
"Balkan country"	0.107699
Benin	0.107649
Uzbekistan	0.10742
Comoros	0.107405
Macao	0.106656
Palestine	0.106359
Italy	0.106153
"Democratic Republic of the Congo"	0.105936
"Democratic Republic"	0.105763
Senegal	0.105695
France	0.10528
Germany	0.105138
Uruguay	0.104497
Guyana	0.104425
BEIJING	0.104071
province	0.103896
"Middle East"	0.103806
Switzerland	0.10366
Morocco	0.102379
Bosnia-Herzegovina	0.102231
"Ivory Coast"	0.102228
Belgium	0.101624
"Costa Rica"	0.101408
Spain	0.100975
Moldova	0.10047
Latvia	0.10018
nation	0.100029
Tehran	0.0984663
"Dominican Republic"	0.0984581
Lithuania	0.0981084
Montenegro	0.0974637
Asia	0.0969691
UAE	0.0966892
"South American country"	0.0966627
Jamaica	0.0964982
"United Arab Emirates"	0.0959027
Ireland	0.0956185
"European country"	0.0952318
Norway	0.0951635
"Republic of Congo"	0.0950843
Turkmenistan	0.0947053
Europe	0.0943296
Cameroun	0.094233
"Central American country"	0.0940643
Paraguay	0.0940354
"Guinea Bissau"	0.0930623
"Central African Republic"	0.0927859
mainland	0.0925241
Slovenia	0.0924801
"Democratic People's Republic of Korea"	0.0923251
Slovakia	0.0922609
"Phnom Penh"	0.0919543
Baghdad	0.0919405
Finland	0.0915108
Chad	0.0913014
Zanzibar	0.0908879
"Democratic Republic of Congo"	0.0907704
Lao	0.0907052
"Balkan nation"	0.0904249
EU	0.0903523
))
(Cambodian (desc 11933.3) (sims
Vietnamese	0.17401
Filipino	0.155811
Indonesian	0.149783
Afghan	0.146268
Burundian	0.145742
Mozambican	0.144618
"Sri Lankans"	0.143922
Bosnians	0.142166
Ugandan	0.139943
Angolan	0.139884
Haitian	0.138574
Liberian	0.136915
Kenyan	0.135904
Thai	0.133061
Armenians	0.132004
"North Koreans"	0.130703
"Sierra Leonean"	0.128946
Colombian	0.128267
Beijingers	0.126967
Chilean	0.124994
"European Jews"	0.124842
Mexican	0.123219
Ethiopian	0.122292
Sudanese	0.122195
Ukrainians	0.120528
Iranian	0.120334
Iraqi	0.120147
Tibetans	0.119588
"East Timorese"	0.117949
Venezuelan	0.11697
Lebanese	0.116962
Taiwanese	0.115917
Georgian	0.115905
Koreans	0.115497
Nigerian	0.115301
Jordanian	0.114837
"Kosovar Albanians"	0.11411
Eritrean	0.111247
Kosovars	0.110919
Zimbabwean	0.110475
"Albanian Kosovars"	0.110279
Algerian	0.109832
Tanzanian	0.108883
migrant	0.108207
Peruvian	0.108032
Canadian	0.106498
Somali	0.105535
Guatemalan	0.105169
Malaysian	0.104429
"Kosovo Albanians"	0.104128
Turk	0.103385
Nepalese	0.103221
Kuwaiti	0.102005
Nicaraguan	0.101616
foreigner	0.101463
citizen	0.100372
Singaporean	0.100295
"South African"	0.100253
Honduran	0.100058
Laotian	0.0997853
Ecuadoreans	0.0995779
Cypriot	0.0993828
Kurds	0.0992918
"Iranian POWs"	0.0990737
Californian	0.0989746
Australian	0.098944
Rwandan	0.0985133
Muscovite	0.0982338
Albanian	0.0977613
Briton	0.0977065
Congolese	0.0971
Tutsis	0.0964877
Japanese	0.095977
Quebecers	0.0952683
Salvadoran	0.0952178
Russian	0.0951328
"South Koreans"	0.0949659
Iowan	0.0947442
Pakistani	0.094376
Bangladeshi	0.0934914
Cuban	0.0931145
Greeks	0.0914602
"Kosovo Serbs"	0.0913596
Chinese	0.0912703
Jew	0.0912596
Zambian	0.0908095
villager	0.090347
VMs	0.0897508
Bulgarian	0.0897021
laborer	0.0895821
refugee	0.0895382
"New Zealander"	0.0894231
African	0.0888766
civilian	0.088392
Palestinian	0.0882304
countrymen	0.0877385
westerner	0.0863762
"union member"	0.0862123
Romanian	0.085322
resident	0.0849441
tourist	0.0849285
Argentine	0.0847069
Brazilian	0.0844423
Moroccan	0.0843472
policyholder	0.0843333
"political prisoner"	0.0841255
"South Carolinian"	0.0833046
Austrian	0.0831306
"Iraqi POWs"	0.0826536
Israeli	0.082457
immigrant	0.082179
Egyptian	0.0819934
Floridian	0.0818445
"Puerto Rican"	0.0816401
Muslim	0.081446
Frenchmen	0.0812136
Hungarian	0.0809322
"AIDS patient"	0.080234
congregants	0.0799907
Zairean	0.0799193
Indian	0.0797439
reveler	0.0796769
pilgrim	0.07966
German	0.0794631
enrollee	0.0794119
centenarian	0.079226
Syrian	0.0789417
inhabitant	0.0787539
pensioner	0.0785034
"San Franciscans"	0.0782093
Dominican	0.0779908
Chechens	0.0771541
Hutus	0.076862
Serbs	0.0765209
Italian	0.0764656
"drug addict"	0.0763353
Yemeni	0.0761258
Arab	0.0760567
Londoner	0.075893
"college student"	0.0758193
Hindu	0.0757552
Panamanian	0.0756943
Croats	0.0755282
Arizonan	0.0753821
laid-offs	0.0753814
"displaced person"	0.0753454
job-seekers	0.0750918
Serbians	0.0749768
"Cuban Americans"	0.0747914
expatriate	0.0746998
Namibian	0.0744504
Scots	0.0741482
Macedonian	0.0740888
worshipper	0.0740597
African-American	0.0737951
worshiper	0.0736736
Jamaican	0.0735768
holidaymaker	0.0735583
"university student"	0.0732339
Latino	0.0732018
youngster	0.0727649
servicemen	0.0727103
"New Yorker"	0.0721921
Moslem	0.0720512
household	0.0720125
returnees	0.0720062
Texan	0.0717315
spectator	0.0716261
miner	0.0716085
prisoner	0.0716027
Montenegrins	0.0715067
Spaniard	0.0712218
"church member"	0.0711386
homeless	0.07107
evacuee	0.0708026
Atlantans	0.070783
Nepali	0.0706889
Japanese-Americans	0.0706732
christian	0.0706151
farmer	0.0705539
voter	0.0705025
enlistee	0.0704205
Catholic	0.0703676
elector	0.070343
asylum-seekers	0.0702025
dweller	0.0701936
reservist	0.069902
farmworkers	0.0698215
non-Muslims	0.0694932
Guinean	0.0694552
Saudi	0.0693577
Hispanic	0.0691986
Tutsi	0.0690515
Copt	0.0688875
"farm worker"	0.0688701
sufferer	0.0688527
Kashmiris	0.068779
Navajos	0.0686827
demonstrator	0.068639
follower	0.0686037
))
("Cambodian King Norodom Sihanouk" (desc 1787.68) (sims
"King Norodom Sihanouk"	0.2717
"Jordanian King Abdullah Bin Hussein"	0.193287
"King Sihanouk"	0.15961
Sihanouk	0.155714
"Emperor Akihito"	0.134668
"Costas Simitis"	0.131621
"Sher Bahadur Deuba"	0.131598
Khaddam	0.131576
el-Ganzouri	0.130155
"Meles Zenawi"	0.128743
"Phan Van Khai"	0.124465
"Inder Kumar Gujral"	0.120618
"Valery Pustovoitenko"	0.116856
Scalfaro	0.115716
"Goh Chok Tong"	0.115055
al-Sharaa	0.114958
"Chavalit Yongchaiyudh"	0.113153
"President Hafez Al-Assad"	0.113082
"Pascoal Mocumbi"	0.1117
Wolfensohn	0.111687
"President Kim Young-sam"	0.110355
"Chea Sim"	0.109642
Klestil	0.109545
Lipponen	0.108546
"Paavo Lipponen"	0.108306
"Antonio Guterres"	0.107817
"Minister Shlomo Ben-Ami"	0.107502
"King Abdullah II"	0.106315
"William Perry"	0.105968
Dehaene	0.105844
"Yoshiro Mori"	0.105119
Azizah	0.105074
"Romano Prodi"	0.105027
Barshefsky	0.104206
Komura	0.103843
"Saudi King Fahd"	0.103111
Pangalos	0.102509
Ikeda	0.101867
"Sheikh Hasina"	0.101629
Juncker	0.101294
"Ung Huot"	0.101151
Klima	0.100909
"Deve Gowda"	0.100877
Ogata	0.10034
"Rafik Hariri"	0.0998454
"Chuan Leekpai"	0.0998115
Jayakumar	0.0996454
Luong	0.0992839
Meles	0.0984693
"Boutros Boutros Ghali"	0.0983636
Alatas	0.0978103
Meguid	0.0975547
Sumaye	0.0974339
"Pandeli Majko"	0.097044
"Joint Liaison Group"	0.0969005
"Hun Sen"	0.0962765
"Chief Executive Tung Chee-hwa"	0.0962605
"Bertie Ahern"	0.0953749
Azad	0.0952823
"Frederick Sumaye"	0.0946188
"Abdul Karim Kabariti"	0.0937862
"Vo Van Kiet"	0.0931098
"Bashkim Fino"	0.0919409
"Helen Clark"	0.0918516
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0913668
"Secretary General Esmat Abdel-Meguid"	0.0913342
Narayanan	0.0911598
"Zhang Wannian"	0.0902961
"Jean Chretien"	0.0902623
Ruggiero	0.0898228
Barzani	0.0894409
al-Bashir	0.0891275
"Prime Minister Banharn Silpa-Archa"	0.0885228
"Cambodian People's Party"	0.0879539
Cem	0.0868147
"Congress (NPC) Standing Committee"	0.086509
Ahtisaari	0.0864348
"Bill Skate"	0.086143
Dini	0.0857211
"De Soto"	0.0852508
al-Sahhaf	0.0852316
Abdel-Meguid	0.0849767
Siazon	0.0848085
"Than Shwe"	0.0845735
Granic	0.0845389
al-Hariri	0.0839503
Fino	0.0837561
"Jose Maria Aznar"	0.0834446
"Necmettin Erbakan"	0.0833688
Kok	0.0830825
al-Khatib	0.0829487
"Victor Chernomyrdin"	0.0826089
"Saudi King Fahd Ibn Abdul-Aziz"	0.0824387
Jovanovic	0.0822476
"Li Ruihuan"	0.0819561
"Atef Obeid"	0.081855
"Lionel Jospin"	0.0816785
Solana	0.0816772
Gujral	0.0816197
Phieu	0.0814029
"Ivan Kostov"	0.0813381
"Wim Kok"	0.0812024
Rong	0.0811754
Diouf	0.0809391
"Benazir Bhutto"	0.0808576
al-Nahyan	0.0807488
"Drought Relief Headquarters"	0.0806557
Constantinescu	0.0806281
"Mahathir Mohamad"	0.0804154
Gaddafi	0.0802242
"Goran Persson"	0.0800532
"Norodom Ranariddh"	0.0799502
"Huang Ju"	0.0798695
"Keizo Obuchi"	0.0796934
Shevardnadze	0.0796662
Pickering	0.079548
"Strobe Talbott"	0.0795118
Vice-Foreign	0.0794834
Zeroual	0.0792575
"Wlodzimierz Cimoszewicz"	0.0792425
"Radu Vasile"	0.0790175
"Girija Prasad Koirala"	0.078745
Al-Sabah	0.0786742
Moratinos	0.0786261
Vedrine	0.0785813
"Sheikh Saad"	0.0784484
"Atal Behari Vajpayee"	0.078301
"de Charette"	0.0781377
"Secretary General Esmat Abdul-Meguid"	0.0781359
Velayati	0.0778197
al-Shara	0.0777298
Vollebaek	0.0774034
"Igor Ivanov"	0.0773884
Guterres	0.0773598
"Chen Muhua"	0.0771537
Majali	0.0771448
Santer	0.0769467
Sergeyev	0.0765537
Al-Thani	0.0763119
Pustovoitenko	0.0763021
"Lee Hsien Loong"	0.0760274
Rakhmonov	0.0759951
"President Kim Dae-jung"	0.0758748
Axworthy	0.0757075
Moi	0.0757052
Vice-Premier	0.0756741
Goh	0.0756146
Chuan	0.0755934
"Ismail Cem"	0.0754332
"deputy foreign minister"	0.0754056
"I.K Gujral"	0.074892
Kyprianou	0.0747707
"Secretary General Boutros Boutros-Ghali"	0.0746668
"Macao Affairs Office"	0.0743403
Sampaio	0.0740487
"Tariq Aziz"	0.073851
Brittan	0.0738321
"Pope John Paul II"	0.0736616
"William Daley"	0.0736613
"Lokendra Bahadur Chand"	0.0735118
"Jerzy Buzek"	0.0734262
"King Abdullah Bin Hussein"	0.0732287
"Secretary-General Boutros Boutros-Ghali"	0.0731045
"Mesut Yilmaz"	0.0730509
"Alain Juppe"	0.0729659
Hrawi	0.0728482
"National Election Committee"	0.0726314
"Defense William Cohen"	0.0725688
Khai	0.0725363
Rodionov	0.072398
"William Cohen"	0.0723158
"Dai Bingguo"	0.0722612
"Li Peng"	0.072156
"Qiao Shi"	0.0720626
Akayev	0.072014
Ganzouri	0.0716423
"Dennis Ross"	0.0715439
Ivanov	0.0715175
"Kamal Kharrazi"	0.0714987
al-Sahaf	0.0714153
Chancellor-elect	0.0712456
Camdessus	0.0711934
"Mahmoud Zouebi"	0.0709655
Talbott	0.0709232
Garang	0.0708466
al-Assad	0.0707569
"H.D Deve Gowda"	0.070632
Yosef	0.0704295
Deuba	0.0703595
Simitis	0.0701728
Chissano	0.070118
Rifkind	0.0701088
Ruehe	0.0694073
Kato	0.0693843
pontiff	0.0692575
"Atal Bihari Vajpayee"	0.0691093
Bolger	0.0690401
"Speaker Ali Akbar Nateq-Nouri"	0.0689925
Qian	0.0689669
Hasina	0.0689637
))
("Cambodian People's Party" (desc 2615.95) (sims
CPP	0.289805
"Sam Rainsy Party"	0.258145
FUNCINPEC	0.236675
"People's Party"	0.215176
"United Malays National Organization"	0.194998
"National League for Democracy"	0.183066
"Funcinpec Party"	0.180136
"Chea Sim"	0.175233
"Pakistan Muslim League"	0.171297
"New Korea Party"	0.163731
"United Democratic Movement"	0.158623
"Sam Rainsy"	0.157062
"Serbian Renewal Movement"	0.151165
"Nepali Congress"	0.150375
"Christian Social Union"	0.14511
"United National Independence Party"	0.14236
"Bharatiya Janata Party"	0.13765
"Croatian Democratic Union"	0.13594
"Bangladesh Nationalist Party"	0.135151
"National Resistance Movement"	0.134379
"Kenya African National Union"	0.133107
"Civic Democratic Party"	0.132895
"Justice Party"	0.132662
"Zimbabwe African National Union-Patriotic Front"	0.132575
"Democrat Party"	0.132068
"New Aspiration Party"	0.129961
"Popular Party"	0.12828
"Christian Democratic Union"	0.127854
"Democratic Action"	0.127256
CCM	0.127067
Zanu-pf	0.126956
FRELIMO	0.124886
"State Peace and Development Council"	0.122121
"United Liberal Democrats"	0.121065
"People's Democratic Party"	0.121014
"Indonesian Democratic Party"	0.120344
"People's Alliance"	0.120192
PASOK	0.119833
Ranariddh	0.119463
"Russian Communist Party"	0.118643
"Ung Huot"	0.117164
Golkar	0.116378
"Chinese Olympic Committee"	0.116045
"Awami League"	0.115853
"Democratic Left"	0.115556
"National Democratic Party"	0.11429
"Nationalist Party"	0.113611
"Revolutionary Party"	0.113461
"United Development Party"	0.112691
"Social Democratic Party"	0.112686
Yabloko	0.111954
"Institutional Revolutionary Party"	0.111675
"Parti Quebecois"	0.110369
"Lesotho Congress"	0.109555
Lakas-NUCD	0.108985
"Socialist Party"	0.108112
"Norodom Ranariddh"	0.108065
"Ulster Unionist Party"	0.106618
Jamaat-e-Islami	0.106473
"Inkatha Freedom Party"	0.10494
"Free Democratic Party"	0.104576
"United National Party"	0.104426
Meretz	0.104364
"African National Congress"	0.104263
"National Religious Party"	0.103832
"Rwandan Patriotic Front"	0.102359
"National Party"	0.10216
"National Democratic Alliance"	0.102139
"All-China Youth Federation"	0.102139
"Labor Party"	0.100918
"Liberal Democratic Party"	0.100457
"Serbian Radical Party"	0.100435
"China Society"	0.100111
"Democratic Unionist Party"	0.100019
"Golkar Party"	0.0995676
"State Law and Order Restoration Council"	0.098938
"National Action"	0.0987337
"Patriotic Union of Kurdistan"	0.0983542
"Social Democrats"	0.0976728
"Council of State"	0.097316
"National Front"	0.0970491
"Christian Democratic Party"	0.0965667
BJP	0.0958591
PML-N	0.0958118
ACFTU	0.0957937
"professional association"	0.0950121
"Barisan Nasional"	0.0949068
"Christian Democrats"	0.0948551
"Democratic Progressive Party"	0.0944633
"Liberal Party"	0.0941256
"Conservative Party"	0.0939426
"Janata Dal"	0.0939183
"Ulster Unionists"	0.0938427
CDU	0.0937403
"King Norodom Sihanouk"	0.093103
"International Association of Machinists"	0.0928036
"Colorado Party"	0.0927894
"Association for Relations Across"	0.0922888
"All-China Federation"	0.0918083
MMD	0.0911759
"Islamic Salvation Front"	0.09088
"All-China Journalists Association"	0.0906561
"Congress Party"	0.0906474
"Muslim Brotherhood"	0.0905222
"International Society"	0.0905127
"United Front"	0.0897468
MPLA	0.0896671
NKP	0.0892167
Lakas	0.0887907
PPP	0.0884299
LDP	0.0883408
UMNO	0.0882096
"Cambodian King Norodom Sihanouk"	0.0879539
"Social Democratic"	0.087571
Otpor	0.0874147
"National Alliance"	0.0873262
"Nahdlatul Ulama"	0.087226
SDP	0.0867697
"China Association for Science"	0.0862575
"National Awakening Party"	0.0861857
"Union of Right Forces"	0.0860368
PDI	0.0858585
"Hun Sen"	0.0858534
"Hong Kong Federation"	0.0856202
PDI-P	0.0856085
"Herri Batasuna"	0.0854458
"National Election Committee"	0.0852748
"Allied Pilots Association"	0.0850535
"Free Democrats"	0.0849936
Poplasen	0.0840204
BNP	0.0838344
Awami	0.0837165
Renamo	0.0833495
"Association for Friendship"	0.0830217
"Democratic Revolution Party"	0.0827341
"Likud Party"	0.0825594
CPAFFC	0.0825223
"Olympic Council of Asia"	0.0823793
"Federal Council"	0.0817573
"Welfare Party"	0.081744
"General Council"	0.0808636
"Revolutionary Command Council"	0.0804142
Shas	0.0803652
CPN-UML	0.0802322
"Sudan People's Liberation Army"	0.0800886
"Canadian Alliance"	0.080013
"National Action Party"	0.0798766
"Chinese Communist Party"	0.0798525
"Motherland Party"	0.0797685
"Freedom Union"	0.0797357
"Benevolent Association"	0.0795625
"National Liberation Front"	0.0787322
"National Council of La Raza"	0.0784995
"Democratic Left Party"	0.0784677
PML	0.078193
socialist	0.0780237
"South African Communist Party"	0.0778685
"World Jewish Congress"	0.0776366
Laban	0.0773428
"China Council"	0.076952
ANC	0.0766766
"Democratic Revolutionary Party"	0.0761771
"Center Party"	0.0759502
NC	0.0758983
"Liberal Democrats"	0.0754114
"Congolese Rally"	0.0753689
Hezb-i-Islami	0.0753136
center-left	0.0745467
"Baath Party"	0.0744395
"Greek Orthodox Church"	0.0742944
"Meretz Party"	0.0735847
NRM	0.073398
"Nikola Poplasen"	0.0732474
center-right	0.0732076
"General Committee"	0.0728628
"Air Line Pilots Association"	0.0725226
Likud	0.0724107
UNIP	0.0722308
NP	0.0722042
"Senate Appropriations Committee"	0.0718066
CITIC	0.0712828
"Communist Party of China"	0.071188
"Congressional Black Caucus"	0.0708383
ARATS	0.0707252
Zajedno	0.0704994
"Great Hural"	0.0704552
ZANU	0.0703597
"Vietnamese Communist Party"	0.0698144
"Democratic Alliance"	0.0697084
"Zapatista National Liberation Army"	0.0693348
"Royal Government"	0.0690888
RPP	0.0690722
UF	0.0690078
ACWF	0.0685265
Fatah	0.068526
"Communist Party"	0.0684673
"PLO Executive Committee"	0.0684247
"China Federation"	0.0683314
"Gaullist Rally"	0.0681815
Kanu	0.0680075
))
(Cambridge (desc 25981.6) (sims
Waltham	0.165579
Oxford	0.162961
"Palo Alto"	0.162921
Princeton	0.160838
Framingham	0.160027
Berkeley	0.154046
Brookline	0.150489
Austin	0.129685
Rockville	0.129536
Boston	0.126038
UNDATED	0.124165
"New Haven"	0.124096
"Santa Monica"	0.122818
Newton	0.121692
Lexington	0.120406
"White Plains"	0.117771
Worcester	0.117543
Wellesley	0.117125
Greenwich	0.116503
Yale	0.115108
Northampton	0.114629
Newark	0.113143
Montclair	0.11265
Bethesda	0.111091
"San Francisco"	0.110603
Stamford	0.10945
Arlington	0.108497
"West Palm Beach"	0.108418
Amherst	0.108379
Andover	0.108207
Minneapolis	0.106586
Englewood	0.106194
Bedford	0.105969
Chicago	0.105907
Burlington	0.105855
Braintree	0.105726
Hartford	0.104615
Concord	0.10436
"Menlo Park"	0.104257
"Cambridge University"	0.104191
"Yale university"	0.103978
Springfield	0.103387
"Los Angeles"	0.102695
"New York"	0.10238
"Mountain View"	0.1021
Greenville	0.102012
Wilmington	0.101885
"Oxford University"	0.101641
Reston	0.101266
Albany	0.101198
Portsmouth	0.099996
Providence	0.0997799
Pasadena	0.0993547
Manchester	0.0992554
Nashville	0.0978868
Seattle	0.0964463
Brooklyn	0.0963738
Houston	0.0962173
Harvard	0.0959543
Somerville	0.0957584
Fairfield	0.0953517
Hempstead	0.0953335
Baltimore	0.0947439
"San Mateo"	0.0946643
Manhattan	0.0940113
Morristown	0.0940069
Charlestown	0.093651
Needham	0.093285
Pittsfield	0.0932653
Middletown	0.0930337
Phoenix	0.0926317
MIT	0.0921414
"Fort Worth"	0.0916776
"Stanford University"	0.0916211
Tampa	0.0911721
Tempe	0.0906066
LONDON	0.0906043
"New York University"	0.09049
Falmouth	0.0904415
Denver	0.0902833
"San Antonio"	0.0901946
Charleston	0.0901798
"Harvard University"	0.0899215
Westport	0.0898116
"Overland Park"	0.0897019
"Santa Clara"	0.0896758
"Thousand Oaks"	0.0889206
Spokane	0.0887205
Memphis	0.0883536
"Cornell University"	0.0881926
Atlanta	0.0881539
Alpharetta	0.0881248
Columbia	0.0880756
Philadelphia	0.088073
"San Jose"	0.0876785
"New York City"	0.0876464
Dartmouth	0.0876085
Cornell	0.0875526
Westfield	0.0874467
"Harvard Law School"	0.0874343
Watertown	0.0873667
Akron	0.0872047
Medford	0.0871793
Tucson	0.086949
Norcross	0.0869362
"New Orleans"	0.0868079
Alexandria	0.0866212
Chappaqua	0.0864057
Sunnyvale	0.0863762
Washington	0.0862576
"Woodland Hills"	0.0862534
"Brown University"	0.0862418
"Santa Barbara"	0.0862383
canton	0.0860807
"San Diego"	0.0857316
Fairfax	0.0856927
Richmond	0.085607
Sorbonne	0.0855226
"Princeton University"	0.0855033
"New Rochelle"	0.0852293
Groton	0.08508
"South San Francisco"	0.0850101
Birmingham	0.0849252
"El Segundo"	0.0848075
"Silver Spring"	0.0844714
"St. Petersburg"	0.0842424
Burbank	0.0836877
Cupertino	0.0835449
Quincy	0.0832568
"East Hampton"	0.0831661
"Long Beach"	0.0830157
"Williams College"	0.0827703
"University of Chicago"	0.082705
"Fort Lauderdale"	0.082698
LAKEWOOD	0.0826421
Dallas	0.0826348
"Jersey City"	0.0826221
Salem	0.0825897
"Palm Beach"	0.0825774
Emeryville	0.0824915
Harlem	0.0823784
"Des Moines"	0.0821232
Madison	0.082068
Portland	0.0818867
"Beverly Hills"	0.0818531
Georgetown	0.0818518
TRENTON	0.0817136
Dorchester	0.0815576
Lubbock	0.0812023
"Kansas City"	0.0811535
"Fall River"	0.0811349
"Miami Beach"	0.0808372
"Walnut Creek"	0.0807832
"Boca Raton"	0.0806767
Rochester	0.0805912
"University of Wisconsin"	0.080466
"Mill Valley"	0.0804002
"La Jolla"	0.0803185
Scottsdale	0.0798822
Gloucester	0.0797929
Milwaukee	0.0797244
"St. Paul"	0.0797157
Burlingame	0.0796729
Paris	0.0795344
Glendale	0.079369
"East Rutherford"	0.0793386
Bellevue	0.0789979
Dublin	0.0789311
Columbus	0.0787831
bethel	0.0787237
Sausalito	0.078614
Yonkers	0.0784578
"Greenwich Village"	0.0780775
Nashua	0.0780519
"University of Kansas"	0.0780359
"Newport Beach"	0.0778374
"Westlake Village"	0.0776437
"Massachusetts Institute of Technology"	0.0776283
Montreal	0.0775441
"Redwood City"	0.0774984
Honolulu	0.0774007
Raleigh	0.076709
"Boston University"	0.0766031
"Santa Fe"	0.0765887
"Van Nuys"	0.0765763
Indianapolis	0.0765389
Massachusetts	0.0764483
"Delray Beach"	0.0763264
Berlin	0.0761964
"Trinity College"	0.0760224
"Las Vegas"	0.0759591
"Little Rock"	0.0759587
Durham	0.0757635
"The Bronx"	0.0757618
Miami	0.0756892
"Round Rock"	0.0756117
Florence	0.0753262
"East Orange"	0.0752443
"University of Georgia"	0.0751026
"Northwestern University"	0.0750477
))
("Cambridge University" (desc 4485.77) (sims
"Oxford University"	0.288836
"University of Chicago"	0.227883
"Georgetown University"	0.219784
"Massachusetts Institute of Technology"	0.218264
Sorbonne	0.215997
"University of Illinois"	0.211782
"Syracuse University"	0.211017
"New York University"	0.211008
"Cornell University"	0.207016
"Yale university"	0.205828
"Harvard University"	0.203687
"University of Wisconsin"	0.203666
"London School of Economics"	0.198919
"Columbia University"	0.198089
"Stanford University"	0.193179
"Princeton University"	0.189056
"University of Minnesota"	0.187304
"Howard University"	0.18055
"University of Kansas"	0.180408
"Brown University"	0.180035
Yale	0.177941
"University of Michigan"	0.176061
"Indiana University"	0.175015
"Duke University"	0.174564
"George Washington University"	0.174046
Cornell	0.17181
"Rutgers University"	0.171484
"University of Iowa"	0.170807
MIT	0.168154
"Harvard Law School"	0.166588
"University of New Mexico"	0.165602
CalTech	0.164801
"City College"	0.164171
"Harvard Business School"	0.164093
"University of Utah"	0.163456
"Ohio State University"	0.16162
"University of California"	0.16013
"University of Florida"	0.158287
"California Institute of Technology"	0.158194
"American University"	0.155659
"University of Pennsylvania"	0.154804
"Pennsylvania State University"	0.152731
"Colorado State University"	0.152186
"McGill University"	0.152164
"Johns Hopkins University"	0.151478
"University of Pittsburgh"	0.150923
"Iowa State University"	0.150415
"Kansas State University"	0.14896
"University of Toronto"	0.147921
"Boston University"	0.147888
"University of Maryland"	0.147765
"Hunter College"	0.147626
"Brandeis University"	0.146827
"University of Southern California"	0.146741
"Northwestern University"	0.146662
"Purdue University"	0.146279
"University of Notre Dame"	0.145784
"University of Washington"	0.144088
"Hebrew University"	0.142922
"Juilliard School"	0.14214
"University of South Carolina"	0.142107
"University of Texas"	0.141532
"Emory University"	0.140683
Harvard	0.139682
"Louisiana State University"	0.138544
"Arizona State University"	0.138508
"University of Georgia"	0.137624
"Trinity College"	0.13595
"University of North Carolina"	0.134438
"University of New Hampshire"	0.131626
"Kennedy School"	0.131107
"Vanderbilt University"	0.13064
"University of Virginia"	0.130158
"University of Arizona"	0.129113
"University of Colorado"	0.12866
"North Carolina State University"	0.12412
"California State University"	0.124058
"State University of New York"	0.123043
"Dartmouth College"	0.122588
"University of Missouri"	0.122364
"Brigham Young University"	0.121768
Princeton	0.121498
"University of Rochester"	0.120875
"University of Alabama"	0.119453
"University of Tennessee"	0.119268
"Peking University"	0.119184
Oxford	0.119141
"Yale Law School"	0.118945
"Southern Methodist University"	0.118132
"Temple University"	0.117738
"Michigan State University"	0.11749
"University of Kentucky"	0.116865
"University of Oklahoma"	0.11669
"Georgia State University"	0.116427
"Harvard School of Public Health"	0.114582
"George Mason University"	0.114575
"Washington University"	0.114563
Brandeis	0.113584
"University of Massachusetts"	0.112229
"University of Zimbabwe"	0.110107
"Northeastern University"	0.109975
"city university"	0.109828
"University of Nebraska"	0.109826
"San Francisco State University"	0.10956
"Wesleyan University"	0.108915
"City University of New York"	0.106137
"Fudan University"	0.10551
"Harvard Medical School"	0.104985
Cambridge	0.104191
"University of Oregon"	0.103714
"Beijing University"	0.103689
Eton	0.103058
"University of Mississippi"	0.102988
"Rice University"	0.102435
"University of Connecticut"	0.102235
"Williams College"	0.102004
"Queens College"	0.10127
"Fordham University"	0.100394
"Tufts University"	0.0997997
"Baylor University"	0.0996052
"school of law"	0.0981825
"Florida State University"	0.0975663
Juilliard	0.0972946
Emory	0.0972596
Stanford	0.097128
"Smith College"	0.0942656
"Qinghua University"	0.0941949
Dartmouth	0.0938098
"Rockefeller University"	0.0935276
"business school"	0.093051
"University of Maine"	0.0925792
"Amherst College"	0.0923317
"school of medicine"	0.0918274
"UC Berkeley"	0.090476
"University of Dayton"	0.0900989
"Tehran University"	0.0899222
"Texas Christian University"	0.0891415
"University of Arkansas"	0.0873823
"Carnegie Mellon University"	0.0872456
"U.S. Naval Academy"	0.0864289
"Nanjing University"	0.0841186
"Washington State University"	0.0838946
"University of Cincinnati"	0.0838826
"University of Hawaii"	0.0834458
"University of Miami"	0.0831471
"John F. Kennedy School of Government"	0.0822785
Vassar	0.082251
"Boston College"	0.0821699
"Hofstra University"	0.0815619
"community college"	0.0812367
"Wright State University"	0.080876
"Kennedy School of Government"	0.0802177
"Harvard College"	0.0799026
"Johns Hopkins"	0.0795345
"Media Lab"	0.0782039
"school of music"	0.0771262
"University of Houston"	0.0769617
Fermilab	0.0769465
"Georgia Tech"	0.0756688
"air force academy"	0.0751226
seminary	0.0750981
"Catholic University"	0.0741254
UMKC	0.0740863
"Barnard College"	0.0736861
"Urban Institute"	0.0733134
"Council on Foreign Relations"	0.0731773
"military academy"	0.0727319
NYU	0.0725606
"medical school"	0.0701642
"National Autonomous University"	0.0698241
"Nankai University"	0.0692215
"boarding school"	0.068964
Columbia	0.0688799
"University of Hong Kong"	0.0686672
Berkeley	0.0676375
"Chinese University of Hong Kong"	0.0673979
"Texas Tech University"	0.0663836
"Seton Hall University"	0.0659602
"Auburn University"	0.065511
UCSF	0.0654809
"University of Wyoming"	0.0649846
conservatory	0.0638899
"Royal National Theater"	0.0632244
"Brookings Institution"	0.0624311
Rutgers	0.062423
"West Point"	0.0620148
"School of Public Health"	0.0617695
KU	0.0613335
"Party School"	0.0606487
"Cooper Union"	0.0604777
Beida	0.060304
"University of Nevada"	0.059143
"Georgia State"	0.0590696
"teachers college"	0.0589679
"Center for Strategic"	0.0589478
"law school"	0.058938
"Wharton School"	0.0586548
Georgetown	0.0586457
"secondary school"	0.0585406
Bu	0.0574595
))
(Camby (desc 13546.1) (sims
"Marcus Camby"	0.259571
Ewing	0.180566
"Larry Johnson"	0.180509
Sprewell	0.169495
"Kurt Thomas"	0.165055
Childs	0.151333
"Chris Childs"	0.14925
"Charlie Ward"	0.147061
"Latrell Sprewell"	0.141803
"Allan Houston"	0.134726
"Chris Dudley"	0.131025
"Patrick Ewing"	0.116198
MARBURY	0.107823
O'Neal	0.0958354
Starks	0.091449
Horry	0.0908544
Johnson	0.0895574
Bryant	0.0882534
Garnett	0.0881201
"Kobe Bryant"	0.0865836
Pippen	0.0850285
duncan	0.0839799
Webber	0.0838582
"Alonzo Mourning"	0.083581
Oakley	0.0829143
Smits	0.0810759
Hardaway	0.0802673
Iverson	0.0799835
Rodman	0.0789037
Dudley	0.078849
Faulk	0.0783682
Nowitzki	0.0783384
Kukoc	0.077857
Olajuwon	0.0772655
Szczerbiak	0.0769508
Malone	0.0767162
Knicks	0.0764268
Odom	0.0758327
"John Wallace"	0.0756354
Barkley	0.0755637
Hundley	0.0751176
"Dennis Scott"	0.0743987
Testaverde	0.0743661
Holdsclaw	0.0737544
"John Starks"	0.0735244
Fizer	0.0733671
McDyess	0.0733348
McGrady	0.0731171
Robitaille	0.0725177
"Robert Horry"	0.071437
"Scottie Pippen"	0.0700886
Knoblauch	0.0698686
"Van Gundy"	0.0698443
Mullin	0.0697972
Thomas	0.0697696
Flutie	0.0692671
Gillom	0.0690829
Robinson	0.068933
Sabonis	0.0682704
Bonilla	0.0682267
Gadzuric	0.0680411
ward	0.0678283
Spellman	0.067794
Olowokandi	0.0675136
Alou	0.0674694
Chamberlain	0.067426
Ripken	0.0667968
Shaq	0.0666157
Chrebet	0.0662826
Wheatley	0.0660947
Elie	0.0660416
"Glen Rice"	0.0658719
Kearse	0.0655326
Francis	0.0655317
Wallace	0.0652749
Tkachuk	0.0652126
Mihm	0.065075
"Shaquille O'Neal"	0.0647061
Modano	0.0643796
"Van Horn"	0.0643103
Cleaves	0.0641427
Smolinski	0.0639061
Garciaparra	0.063886
"Tim Hardaway"	0.0634867
Weinke	0.0634113
Artest	0.0633169
Ronaldo	0.0628229
Laettner	0.062636
"Vin Baker"	0.0624756
Fleury	0.0621979
Moiso	0.06216
Guillen	0.0619051
"Reggie Miller"	0.0618562
"David Robinson"	0.0615726
Harbaugh	0.0614479
Aikman	0.0613857
Mirer	0.0613036
Williams	0.0612631
Bourque	0.0612114
"Tim Duncan"	0.0608458
Geiger	0.0607185
Lindros	0.0605893
Elway	0.0605856
El-Amin	0.060571
"Charles Barkley"	0.0605242
Blake	0.0605163
mourning	0.0603888
Anderson	0.0603287
Irvin	0.0602039
Marino	0.0596876
Leyritz	0.0595241
"Van Exel"	0.0593885
Bure	0.0592721
Layden	0.0592383
Piazza	0.0588874
Skinner	0.0588515
Stewart	0.0588316
"Hakeem Olajuwon"	0.0588173
Audette	0.058747
Zeile	0.0587223
Gugliotta	0.0587215
Kidd	0.0586401
Carter	0.0584813
Swann	0.0582711
Gretzky	0.0579659
Cassell	0.057949
Langdon	0.0577624
McGinest	0.0577076
"Herb Williams"	0.057237
Soward	0.0570932
Ceballos	0.0570142
Swoopes	0.0569878
downcourt	0.0569691
WARRICK	0.0569266
GRUNFELD	0.05674
Vaughn	0.0567168
"Rik Smits"	0.0565894
Fassero	0.0565767
Croshere	0.0564579
Bibby	0.0563359
Clemens	0.0563195
Griffey	0.0562706
smith	0.0561651
"Jalen Rose"	0.0560343
Fortson	0.0558154
Chandler	0.0557844
Mutombo	0.0556045
Andreychuk	0.0555975
Stumpel	0.0555618
"Allen Iverson"	0.0554799
Holmgren	0.0552583
Sanders	0.0552123
"Shawn Kemp"	0.0551795
Carbonneau	0.054986
Davis	0.0548823
Zidane	0.0548573
Hamilton	0.0548389
Scalabrine	0.0547495
Detmer	0.054476
Dreifort	0.054463
Bierhoff	0.0544368
Sakic	0.0543638
Nomo	0.0543172
Rogers	0.0542922
Kerr	0.0542148
Palmer	0.0541914
Dierker	0.0541329
Sykora	0.0540753
Elliott	0.0540563
Serena	0.054037
Stockton	0.0540038
Laperriere	0.0539631
"Rick Fox"	0.053808
"Travis Best"	0.0534942
walker	0.0533684
Baker	0.0533662
Strahan	0.0531998
"P.J Brown"	0.0531769
Plummer	0.0531002
Foley	0.0530966
Slade	0.0530646
Abdur-Rahim	0.0530301
Gonzalez	0.0529527
Mayfield	0.0528894
Kemp	0.0528525
Mondesi	0.0528467
Segui	0.0527721
Polgar	0.052769
Cota	0.0527664
Stoudamire	0.0527283
Falk	0.0525979
Baggio	0.0525257
Riley	0.0523467
"Dale Davis"	0.0522724
Rodriguez	0.0522612
Schilling	0.0521651
"Red Storm"	0.0521195
Grudzielanek	0.0521052
Yzerman	0.052013
Brunell	0.0519784
))
(camcorder (desc 3753.65) (sims
camcorders	0.227697
"cassette recorder"	0.1188
"color television"	0.118697
"CD player"	0.117884
stereo	0.115601
"tv set"	0.104703
tuner	0.104627
"television set"	0.104384
VCR	0.104245
"video equipment"	0.103256
"tape recorder"	0.101946
Walkman	0.0961404
"cellular phone"	0.0951599
"fax machine"	0.0908715
"cellular telephone"	0.0875601
"microwave oven"	0.0854934
HDTV	0.0851209
toaster	0.0842853
decoder	0.0834896
copier	0.0829902
"electronic device"	0.0826095
"laptop computer"	0.0816017
Webcam	0.081592
walkie-talkie	0.0813448
headphone	0.0805118
remotes	0.0798481
"videocassette recorder"	0.0791287
"Palm Pilot"	0.0786568
"sound system"	0.07846
"vacuum cleaner"	0.0770063
wristwatch	0.0767936
"tape measure"	0.0761592
gizmo	0.0760717
"stereo system"	0.0753986
Projector	0.074969
"portable computer"	0.0749039
"kitchen appliance"	0.0748024
recorder	0.0744162
"cable television"	0.0732083
forklift	0.0718238
"electronic equipment"	0.0705025
binocular	0.0700782
"hand-held computer"	0.0695107
printer	0.067478
scanner	0.0673758
"compact disc"	0.0673618
"laser printer"	0.0673523
cellphone	0.066927
"extension cord"	0.0667022
notepad	0.0666358
"security system"	0.0660003
"satellite receiver"	0.0652697
clicker	0.0650907
phonograph	0.0649164
cartridge	0.0647837
beepers	0.0647132
calculator	0.0645594
"golf game"	0.0644575
handset	0.0642447
switchboard	0.0632235
cassette	0.0627462
"guardian angel"	0.0625524
"power tool"	0.0624852
"wide screen"	0.0623184
"video game"	0.0622033
"electrical device"	0.0618082
laptop	0.0612742
PlayStation	0.0609228
Jukebox	0.0604629
"chain saw"	0.0602667
"radio set"	0.0599018
sonar	0.0597518
"Palm III"	0.059492
"consumer electronics"	0.0594787
pager	0.0591295
"Palm VII"	0.0587932
Centerfold	0.0586614
console	0.0586062
prosthesis	0.0581872
recliner	0.0580885
"audio system"	0.0579221
Reel.com	0.0579221
Hubble	0.0577763
microfilm	0.0577094
"hockey stick"	0.0576523
DVDs	0.0576429
"wireless telephone"	0.0576255
appliance	0.0575631
"summer house"	0.0575581
"baseball card"	0.0575286
gadget	0.0574345
pushcart	0.0572012
photocopier	0.0570208
pantyhose	0.056884
"washing machine"	0.056849
skis	0.0567199
"beach towel"	0.056475
headset	0.0564633
microscope	0.0563962
PalmPilot	0.0563487
DVD	0.0563428
"home movie"	0.0561112
snowplow	0.0560685
forefinger	0.0560522
thermostat	0.0559993
floppy	0.0559459
"compact disk"	0.0557088
Ethernet	0.0556269
"fishing rod"	0.055511
playpen	0.0551591
DV	0.0551321
peripheral	0.0551316
WebTV	0.0548563
"hearing aid"	0.0548458
microphone	0.054698
Powerbook	0.054572
earpiece	0.0545556
lawnmower	0.0545502
"home appliance"	0.0543829
surfboard	0.0542261
fridge	0.0541799
"line of products"	0.0541426
workstation	0.0540493
"audio CD"	0.0540439
toothbrush	0.0538369
flashlight	0.0537056
scrapbook	0.0536412
"alarm system"	0.0536133
toolbox	0.0535587
pagers	0.0531679
goggles	0.0531371
"magnifying glass"	0.0529965
putter	0.0529426
"closed circuit"	0.0528539
"word processor"	0.052773
"identification number"	0.0527599
microwave	0.0527182
joystick	0.0527075
cellphones	0.0526284
"phone line"	0.0525818
hose	0.0524094
CD-ROM	0.0523922
"clock radio"	0.0522351
transistor	0.0521413
modem	0.052129
shotgun	0.0520663
revolver	0.0520392
spectrometer	0.0520314
cam	0.0520037
keyboard	0.0515442
"running shoe"	0.0514092
"safety belt"	0.0512493
carbine	0.0511935
Mojo	0.051011
desktop	0.0509681
fief	0.0509183
"slip of paper"	0.0509129
conditioner	0.0506909
"grocery bag"	0.050645
wallet	0.0505634
downloading	0.0505229
dryer	0.0505178
"time capsule"	0.0504705
fave	0.050465
Miata	0.0503921
"bag of tricks"	0.0501877
hourglass	0.050027
motherboard	0.0500042
"duffel bag"	0.0499928
handheld	0.0499718
"spy satellite"	0.049963
"Lincoln Town Car"	0.0499099
thermometer	0.0498862
"storage device"	0.0497093
grandkids	0.049688
compression	0.0496551
AK-@@	0.0496432
"phone system"	0.0494769
sport-utility	0.0494312
"printing press"	0.0493524
joysticks	0.0492985
"garden hose"	0.0492075
"piece of cloth"	0.0491971
"lawn mower"	0.0490319
refrigerator	0.0489972
"beam of light"	0.0489437
"Roth IRA"	0.0488486
"walking stick"	0.0488124
"sense of smell"	0.0487928
"Hubble Space Telescope"	0.0487441
"catalytic converter"	0.0487373
VCD	0.0486805
"fountain pen"	0.0485584
VHS	0.0485
gadgetry	0.0484474
"surveillance system"	0.0484323
"business card"	0.0484191
"secret plan"	0.0483691
"telephone line"	0.048051
dishwasher	0.047937
))
(camcorders (desc 3666.28) (sims
camcorder	0.227697
photocopier	0.19014
"cassette recorder"	0.186739
beepers	0.174728
"fax machine"	0.174726
"CD player"	0.173651
pagers	0.164972
copier	0.16215
VCR	0.161107
"videocassette recorder"	0.150693
"laser printer"	0.146073
"color television"	0.139234
"video equipment"	0.136896
"portable computer"	0.136286
"cellular phone"	0.131549
stereo	0.1311
"cellular telephone"	0.129683
"tape recorder"	0.128636
"laptop computer"	0.127752
"television set"	0.123876
"tv set"	0.123153
recorder	0.119528
"satellite receiver"	0.119247
"Palm Pilots"	0.118807
"microwave oven"	0.113669
printer	0.10547
"kitchen appliance"	0.104533
"hand-held computer"	0.10405
scanner	0.101759
DVDs	0.0999047
"wireless telephone"	0.099789
"telephone set"	0.0994496
joysticks	0.0993956
"video game"	0.0986275
cellphones	0.0967958
"personal computer"	0.095774
laptop	0.094305
"tape player"	0.0931484
handhelds	0.092921
modem	0.0917035
Projector	0.0916117
toaster	0.0892158
tuner	0.0890355
"electronic equipment"	0.0884835
"electronic device"	0.0863236
notepad	0.0859599
pager	0.0843659
"desktop computer"	0.0839401
appliance	0.0833847
walkie-talkie	0.082452
"stereo system"	0.0823814
"washing machine"	0.0801334
"Palm Pilot"	0.0793707
"consumer electronics"	0.0791773
gadget	0.0790385
"radio transmitter"	0.0788261
cassette	0.0779792
air-conditioner	0.0777834
"communications equipment"	0.0762967
cooker	0.0762845
wristwatch	0.0761952
"home appliance"	0.0748335
conditioner	0.0747945
webcams	0.0736889
PC	0.0735994
binocular	0.0735499
amplifier	0.0733669
"sewing machine"	0.0714062
"disk drive"	0.0712899
"telephone system"	0.0712787
"integrated circuit"	0.0712134
decoder	0.0710609
"scientific instrument"	0.0707905
HDTV	0.0705259
"phone system"	0.0687094
"machine tool"	0.0682633
"trading card"	0.0678957
"audio system"	0.0676353
DVD	0.0673857
"office furniture"	0.0671234
semiconductor	0.0667525
"sound system"	0.0658036
"cable television"	0.0657813
peripheral	0.0657384
iMacs	0.0655127
microwave	0.0653117
"exercise equipment"	0.0651338
refrigerator	0.0648619
"alarm system"	0.06476
handset	0.0647258
synthesizers	0.0627356
beeper	0.0621108
"Palm III"	0.0617084
"phone line"	0.0614331
telephony	0.0613724
switchboard	0.061345
"compact disk"	0.0609525
"electric fan"	0.0605877
"electronic mail"	0.0604985
motherboards	0.0604747
"Palm VII"	0.060439
transponder	0.0602827
"cassette player"	0.0601719
"radio set"	0.0601121
CD-ROM	0.0598677
gadgetry	0.0591363
"computer game"	0.0590899
spectrometer	0.0588217
"compact disc"	0.0585918
"storage device"	0.0583635
sensor	0.057934
microchip	0.0578863
calculator	0.0578782
VCDs	0.0572623
"memory chip"	0.0571044
"X-ray machine"	0.0569928
"security system"	0.056906
"communications service"	0.0566493
Jukebox	0.0565215
iBook	0.056391
"hearing aid"	0.0558846
joystick	0.0556783
transmitter	0.0554033
remotes	0.0553446
sonar	0.0553317
"communications network"	0.0550638
gizmo	0.0550151
"computer equipment"	0.0546876
"odds and ends"	0.0543607
voyeurism	0.0534394
"phone service"	0.0531669
"telephone service"	0.0529039
"medical instrument"	0.0524925
"power tool"	0.0524911
jacks	0.0523111
phonograph	0.0522883
"place mat"	0.0519811
"print media"	0.0519455
kitchenette	0.0519267
microprocessor	0.0518731
diskette	0.0515614
"liquefied petroleum gas"	0.0509218
"seat cushion"	0.0508102
"telephone network"	0.0505216
"computer hardware"	0.0504436
"surveillance system"	0.0503868
videogames	0.0503689
USB	0.0502659
typewriter	0.0502409
mainframe	0.0498187
"clock radio"	0.049795
microscope	0.0496157
"household appliance"	0.0493869
"water bottle"	0.0493589
headphone	0.0492233
workstation	0.0491928
supercomputers	0.0491611
rewind	0.0491449
converter	0.0489778
transistor	0.0486751
"three pitchers"	0.0484233
SAMPLER	0.0481414
thermometer	0.0479836
nitroglycerin	0.0479573
audio	0.0479355
"communications technology"	0.0478761
"alarm clock"	0.0477771
floodlight	0.0477516
desktops	0.0475826
tripod	0.0475601
Macintosh	0.0474888
dishwasher	0.0474488
handheld	0.0474224
"audio CD"	0.0473354
connector	0.0473163
telescope	0.0473085
CD-R	0.0467435
"hair dryer"	0.046592
VCD	0.046566
inkjet	0.0464928
"baseball card"	0.0464722
antenna	0.0463446
"Nintendo @@"	0.0462406
"tool kit"	0.0461941
desktop	0.0461848
"video screen"	0.0456725
readout	0.0455919
"consumer goods"	0.0455235
"radio signal"	0.0454676
headset	0.0453184
detector	0.0450289
"solar panel"	0.0449105
WebTV	0.0448929
intranets	0.0444225
"computer technology"	0.0442972
"floppy disk"	0.0442275
"Pentium III"	0.0442174
"Sony Playstation"	0.0441309
"bowling ball"	0.0440408
"motor vehicle"	0.0437957
))
(Camden (desc 10373.2) (sims
"Jersey City"	0.160387
Paterson	0.144624
"East Orange"	0.142363
Newark	0.140245
"Bergen County"	0.135093
TRENTON	0.133144
Bayonne	0.129167
Wilmington	0.12699
Bridgeport	0.125524
Morristown	0.124921
Passaic	0.119517
LAKEWOOD	0.119306
Hartford	0.117438
Chatham	0.116804
Youngstown	0.114809
Westfield	0.112504
Hackensack	0.11198
Gloucester	0.109578
Princeville	0.108631
Englewood	0.108129
Poughkeepsie	0.107881
Bangor	0.107659
"West Orange"	0.107426
Montclair	0.106533
Bergen	0.106416
Holyoke	0.105412
"Cherry Hill"	0.104552
Brunswick	0.104307
Greenville	0.103023
Charleston	0.100331
"Fort Lee"	0.0991124
Springfield	0.0989971
Fresno	0.098247
Wallingford	0.0981822
Hoboken	0.0980055
"New Haven"	0.0976791
"Monmouth County"	0.0966891
Matamoros	0.0961533
"Ciudad Juarez"	0.0957091
Somerville	0.0939619
Ridgewood	0.09335
Waterville	0.092375
Middlesex	0.0922253
"Highland Park"	0.0922063
Rochester	0.0918882
Stamford	0.0917997
Krakow	0.0915714
"Union City"	0.0915503
"New York City"	0.0915047
Medford	0.0914094
Xenia	0.0909129
"New Brunswick"	0.0907853
"Mount Pleasant"	0.0904306
Schenectady	0.0904001
Irvington	0.0903243
Rockland	0.0897643
"Little Rock"	0.0893094
Jasper	0.0885501
Cumberland	0.0882969
"St. Petersburg"	0.0880017
Plano	0.0875151
Falmouth	0.0870558
Somerset	0.0869081
"Fort Worth"	0.0866115
Brownsville	0.0865087
Covington	0.0864809
Galveston	0.0862947
"Sussex County"	0.0858557
Freeport	0.0856127
Woodbridge	0.0855764
riverside	0.0853508
Jamestown	0.085332
Wildwood	0.0849681
Savannah	0.0846088
Clifton	0.0841888
"El Paso"	0.0840329
Spokane	0.0836469
ASHEVILLE	0.0832155
Brooklyn	0.0831206
Yonkers	0.0831181
"Port Elizabeth"	0.0830879
Hillsboro	0.0830385
Utica	0.0828722
Harrisburg	0.0826873
Laredo	0.0823504
Worcester	0.0822945
Guadalajara	0.0814741
Lewiston	0.0814335
"San Francisco"	0.0814124
Beaumont	0.0811022
Richmond	0.0810947
Albany	0.0810334
Salem	0.0809871
"New London"	0.0809651
"San Juan"	0.080808
Odessa	0.080519
"Essex County"	0.0804734
"South Bronx"	0.0804475
Lakeland	0.0803667
Tijuana	0.080291
Decatur	0.0802564
"Newport Beach"	0.0802531
Chester	0.0801342
Laramie	0.0799949
Shreveport	0.0799204
"Atlantic City"	0.079912
"New Orleans"	0.0798986
"Del Rio"	0.0796458
Honolulu	0.0793723
bethel	0.0793081
Marjayoun	0.0792299
Posoltega	0.0791835
Juarez	0.0790842
Port-au-Prince	0.0790351
Nago	0.0787011
Greenwich	0.0786745
"South Boston"	0.0786176
Northampton	0.0782605
Macon	0.0782509
"Corpus Christi"	0.0781331
"Los Angeles"	0.077906
Lubbock	0.077883
"St. Paul"	0.0778774
Braintree	0.0776966
Westchester	0.0776159
Chappaqua	0.0775874
Watertown	0.0773242
"San Fernando Valley"	0.0769636
Chatsworth	0.0767024
Greensboro	0.0766798
Ensenada	0.0763396
Suffolk	0.0763125
Philadelphia	0.0760488
Miami-Dade	0.0760488
"East St. Louis"	0.0759169
"East Los Angeles"	0.0758901
Ithaca	0.0758585
"Mount Vernon"	0.0758279
"Long Beach"	0.0757231
Lawrenceville	0.0754334
Fairfield	0.0753591
Haifa	0.0752248
Columbus	0.0750409
Duluth	0.0748031
Weimar	0.074789
Windham	0.0747256
Derry	0.0746446
"Garden City"	0.0745141
Dundalk	0.0743257
"San Antonio"	0.0743147
"Miami Beach"	0.0743045
Glendale	0.0742892
"Saratoga Springs"	0.0742742
Tampa	0.07421
Sparta	0.0742088
Burlington	0.0741561
Alexandria	0.0739734
TEGUCIGALPA	0.0739597
Charlestown	0.0739094
Chicago	0.0738704
Dayton	0.0737789
Kennebunkport	0.0737679
Farmington	0.0737509
"Wichita Falls"	0.0737222
Portsmouth	0.0735916
Urosevac	0.0734923
Middletown	0.0733842
Guayaquil	0.0732958
BRIGHTON	0.0732839
Fayetteville	0.0730855
"TOMS RIVER"	0.0730771
Beaufort	0.0729733
"Santa Monica"	0.0728589
Providence	0.0728369
Essex	0.0727837
Murmansk	0.0727128
"Santa Barbara"	0.0726587
Bethlehem	0.0725237
Vladivostok	0.0724499
"Santa Rosa"	0.0723962
"Oklahoma City"	0.0723852
Rockport	0.0723626
Minneapolis	0.0723226
Portland	0.0721588
Aberdeen	0.0719373
Albuquerque	0.0719211
Bridgewater	0.0717014
Harlem	0.0715627
Basra	0.0715442
Izmit	0.0715421
Lancaster	0.0715237
Madison	0.0714913
Akron	0.0714795
Acapulco	0.0714283
Cali	0.0713698
"Mexico City"	0.0713668
Pasadena	0.071313
"Overland Park"	0.0712159
Izmir	0.0711217
"Baton Rouge"	0.0710818
))
("Camden Yards" (desc 6399.3) (sims
"Jacobs Field"	0.1842
"Coors Field"	0.18214
"Edison Field"	0.16974
"Dodger Stadium"	0.154388
"Veterans Stadium"	0.154138
"Wrigley Field"	0.149445
"Busch Stadium"	0.148479
"Fenway Park"	0.146801
"Pauley Pavilion"	0.141035
"Yankee Stadium"	0.140175
"Cinergy Field"	0.137035
Metrodome	0.133997
"Comiskey Park"	0.132889
"Shea Stadium"	0.131291
"Turner Field"	0.129806
"Mile High Stadium"	0.128353
"Qualcomm Stadium"	0.127695
"Tropicana Field"	0.1267
"America West Arena"	0.122944
"County Stadium"	0.122877
"Enron Field"	0.115876
"Texas Stadium"	0.114297
"Soldier Field"	0.113412
SkyDome	0.113066
"Joe Louis Arena"	0.11299
"Tiger Stadium"	0.112663
"Delta Center"	0.112148
"RFK Stadium"	0.110374
"RCA Dome"	0.1072
"Rivers Stadium"	0.106502
Astrodome	0.105743
Ballpark	0.105558
"United Center"	0.103284
Shea	0.102328
"Polo Grounds"	0.101549
"Arrowhead Stadium"	0.100499
"Candlestick Park"	0.1004
"Oakland Coliseum"	0.0998963
"Compaq Center"	0.0987138
KeyArena	0.0984426
"Melbourne Cricket Ground"	0.0983697
Fenway	0.0983001
"Safeco Field"	0.0951195
"Kauffman Stadium"	0.0944542
"Market Square Arena"	0.0942127
Kingdome	0.0919869
Alamodome	0.0918109
"Nassau Coliseum"	0.091576
"Memorial Stadium"	0.0912025
"Foxboro Stadium"	0.0905494
"Olympic Stadium"	0.0904834
"Wembley Stadium"	0.0883605
"Continental Arena"	0.0882244
"Comerica Park"	0.0867232
"Reunion Arena"	0.0865554
"Giants Stadium"	0.0855233
"Pro Player Stadium"	0.0851581
"Madison Square Garden"	0.0844724
"MCI Center"	0.0836021
FleetCenter	0.0831189
"Cotton Bowl"	0.0828118
"Continental Airlines Arena"	0.0806642
"Pacific Bell Park"	0.0804362
Superdome	0.0797867
Coliseum	0.0789874
"Lambeau Field"	0.0789759
Wrigley	0.0781311
"Sanford Stadium"	0.0779381
Meadowlands	0.0762697
"Old Trafford"	0.0755538
"Philips Arena"	0.0747233
"Valley Ranch"	0.0738
"Marine Midland Arena"	0.0737628
"Staples Center"	0.0730629
"Roland Garros"	0.0710423
"Orange Bowl"	0.070311
"Conseco Fieldhouse"	0.0702182
"Devil Stadium"	0.0693051
Safeco	0.0686546
"Georgia Dome"	0.0677911
"Rose Bowl"	0.0676853
"Boston Garden"	0.0675519
"Jack Kent Cooke Stadium"	0.0662221
"Sacramento State"	0.0657829
"Tokyo Dome"	0.0653864
Highbury	0.0633048
"Civic Arena"	0.0631512
"Stade de France"	0.0631396
"Churchill Downs"	0.0630859
Wembley	0.06261
"Miami Arena"	0.0616895
Foxboro	0.0608228
"Kyle Field"	0.060525
candlestick	0.0596171
"Melbourne Park"	0.0594321
"Indian Wells"	0.0582175
"Carnegie Hall"	0.0578237
"National Tennis Center"	0.0576277
"sports arena"	0.0575732
"Ebbets Field"	0.0571821
"Pebble Beach"	0.0555265
"Fleet Center"	0.0554329
"Trans World Dome"	0.0554148
"Ben-Gurion Airport"	0.0549638
"Michigan Speedway"	0.0541638
"Kiel Center"	0.0534536
"Indianapolis Motor Speedway"	0.0524664
"East Lake"	0.0518682
"Pan Am Games"	0.0515826
"Wimbledon Tennis Championships"	0.0513956
"Motor Speedway"	0.0511442
Pinehurst	0.0509638
"Augusta National"	0.0506227
Pawtucket	0.0505251
Busch	0.0503536
"First Union Center"	0.0498116
"Belmont Park"	0.0486297
"sugar bowl"	0.0480243
Saint-Denis	0.0479855
"Stade Velodrome"	0.0479515
Tucson	0.0475346
"New York Film Festival"	0.0472503
"Pac Bell Park"	0.0469015
gym	0.0466039
"Stamford Bridge"	0.0465029
"Maple Leaf Gardens"	0.0461548
nightcap	0.04608
"rose garden"	0.0459804
"Texas Motor Speedway"	0.0459586
"Scott Erickson"	0.0456165
ANAHEIM	0.0452981
Medinah	0.0452377
"World Basketball Championship"	0.0450872
"Shrine Auditorium"	0.0449061
"Alice Tully Hall"	0.0447953
"Millrose Games"	0.0447892
"All-Star Game"	0.0446937
Tanglewood	0.0446882
"Eighth National Games"	0.0445816
"Lincoln Center Festival"	0.0445571
"International AIDS Conference"	0.0444869
Storrs	0.0444641
"College World Series"	0.0443883
"Longwood Cricket Club"	0.0443691
"Goodwill Games"	0.0443132
Belfry	0.0442669
Rockingham	0.0442618
Indy	0.0441596
"Kennedy Space Center"	0.0441338
"World University Games"	0.0441171
"Chek Lap Kok"	0.0439989
"Gulfstream Park"	0.0439637
"U.N. Headquarters"	0.0439022
Foxborough	0.0436098
"Fortune Global Forum"	0.0433537
Pepperdine	0.0432442
Daytona	0.043188
Saratoga	0.0430226
Dodgertown	0.0430203
"Senior Bowl"	0.0429398
"Pikes Peak"	0.0426894
"UC Irvine"	0.0426734
"National Stadium"	0.0425614
NHIS	0.0425295
"Macao International Airport"	0.0425259
Omni	0.0423505
"Flushing Meadows"	0.0421549
"Pan American Games"	0.0419555
"country club"	0.041703
"Joyce Theater"	0.0416115
Sestriere	0.0415495
"Atlanta Motor Speedway"	0.0415384
"Bangkok Asian Games"	0.0415367
Bormio	0.0413837
Waldorf-Astoria	0.0412531
"Royal Birkdale"	0.0411819
"Atlanta Games"	0.041119
"Hollywood Park"	0.0410204
"Confederations Cup"	0.0409006
"Pinehurst No. @"	0.0407495
"Constitutional Assembly"	0.0406175
"Oregon State"	0.0402488
Eastbourne	0.0401824
"baseball game"	0.0401206
Longwood	0.040095
))
(Camdessus (desc 2980.78) (sims
Velayati	0.244139
Komura	0.233876
Pangalos	0.231088
Rifkind	0.222801
Cem	0.221233
"de Charette"	0.216399
Ruehe	0.20784
Luong	0.206006
Stoyanov	0.20404
Boueiz	0.200281
Santer	0.199791
Ikimi	0.199309
Talbott	0.196287
Ikeda	0.195255
Shareh	0.195115
Goh	0.19488
Axworthy	0.19363
Ahtisaari	0.192306
Wolfensohn	0.192171
Vedrine	0.190939
Guterres	0.190298
Nzo	0.188022
Nazarbayev	0.187419
Pustovoitenko	0.186796
Scharping	0.186692
Sergeyev	0.186541
Jayakumar	0.186209
Mkapa	0.181425
Dini	0.181294
Zou	0.180779
Chissano	0.180233
Karimov	0.18002
Phieu	0.178822
Constantinescu	0.17766
Granic	0.176466
Narayanan	0.176249
Frei	0.17612
Gaddafi	0.176028
Ivanov	0.174629
Klima	0.174595
Demirel	0.174087
Duisenberg	0.172603
Azad	0.172311
Moussa	0.172092
Nujoma	0.17188
Chretien	0.170623
Zuma	0.169625
Pickering	0.169215
Jovanovic	0.168576
Solana	0.166881
Brundtland	0.166539
Moratinos	0.166357
Abdel-Meguid	0.165981
Ecevit	0.165363
Kostov	0.165322
Barshefsky	0.165158
Shevardnadze	0.165119
Nasrallah	0.164912
Azizah	0.164109
Kharrazi	0.16388
Chavalit	0.163714
Menem	0.163476
Brittan	0.163209
Ogata	0.163133
Indyk	0.162436
Kuchma	0.162418
Meles	0.161988
Chirac	0.161845
Tsang	0.161192
Insulza	0.160825
Kinkel	0.160708
Aziz	0.1607
Chiluba	0.160658
Sumaye	0.158454
Alatas	0.157694
Bolger	0.157665
Khaddam	0.157615
Luo	0.156847
Shipley	0.156036
Vasile	0.155465
Khai	0.155437
"Michel Camdessus"	0.155374
Gujral	0.155228
Kasoulides	0.154585
"De Soto"	0.153919
Siazon	0.153559
Zeng	0.153145
Bruton	0.152817
Ruggiero	0.1528
Ben-Ami	0.15272
Hrawi	0.152605
Akayev	0.152309
Carneal	0.152275
Rakhmonov	0.151465
"Than Shwe"	0.151394
Husseini	0.15107
Scalfaro	0.151037
"Chief Executive Tung Chee-hwa"	0.15089
Eizenstat	0.15069
Ahern	0.150532
Saleh	0.149612
Klestil	0.149252
Rodionov	0.148758
"King Abdullah II"	0.148262
Aznar	0.148177
Mbeki	0.147969
"Vo Van Kiet"	0.147678
Hashimoto	0.147217
Kok	0.146891
Murayama	0.146289
Banharn	0.146123
Blatter	0.14611
Surin	0.146014
Diouf	0.145846
Lukashenko	0.145665
Lipponen	0.14527
Wilhelm	0.144887
Kwasniewski	0.144744
Deuba	0.144491
Herzog	0.144071
Tung	0.143898
Niyazov	0.143847
Juppe	0.14228
Havelange	0.142229
Seleznyov	0.14215
Muoi	0.141878
Leghari	0.141832
Weizman	0.140589
Zeroual	0.140534
Garang	0.140148
Zhirinovsky	0.139595
Orban	0.139259
Simitis	0.138962
Milutinovic	0.138898
Qian	0.13879
al-Sahhaf	0.138182
Dehaene	0.13683
Ghali	0.136726
Masire	0.136613
Malu	0.136537
Chuan	0.136097
Hariri	0.135314
Rau	0.135201
al-Khatib	0.134929
Malan	0.134899
Mordechai	0.13481
Hasina	0.134788
Tarrin	0.13447
Prueher	0.134388
"Lee Hsien Loong"	0.134077
Vollebaek	0.134052
Mandelson	0.133783
Canady	0.133528
Primakov	0.133452
Holl	0.133412
Rafsanjani	0.133297
Buzek	0.133179
Boutros-Ghali	0.132772
Iglesias	0.132693
Museveni	0.132525
Fischer	0.132312
Meguid	0.132266
Ciampi	0.132143
Denktash	0.131831
Khamenei	0.131695
Qiao	0.131436
Abubakar	0.131412
Tarawneh	0.131275
Jia	0.131233
Sampaio	0.131073
Mandela	0.130467
Clerides	0.130263
"President Lee Teng-hui"	0.129782
"Dos Santos"	0.129502
Demaci	0.129151
"Wim Kok"	0.129021
Jospin	0.12899
Kabariti	0.128984
Prodi	0.128002
Grachev	0.127717
Hu	0.127548
Persson	0.127333
Gowda	0.12726
Chubais	0.127237
Buthelezi	0.127011
Soares	0.126904
Peres	0.126561
"Goh Chok Tong"	0.126298
Lautenberg	0.126226
"Valery Pustovoitenko"	0.126171
Ganzouri	0.126153
LaPierre	0.125895
Bellamy	0.125502
Izetbegovic	0.125462
Waigel	0.125257
Yastrzhembsky	0.124979
Sahnoun	0.124935
Bulatovic	0.124486
Stroyev	0.124438
Zadornov	0.124183
Musharraf	0.124011
Rubin	0.124009
"King Sihanouk"	0.123413
Papandreou	0.123394
Fino	0.123299
Muluzi	0.123233
wen	0.122685
MIYAZAWA	0.122674
"Paavo Lipponen"	0.122592
Mowlam	0.122551
Kono	0.122294
Lahoud	0.122153
Wahid	0.121862
Tian	0.121788
al-Sharaa	0.121639
Zhu	0.121636
Vajpayee	0.121627
"William Perry"	0.121592
Moi	0.121589
"Yoshiro Mori"	0.121584
Piot	0.121513
"Secretary General Esmat Abdul-Meguid"	0.121138
D'Alema	0.120703
"Defense William Cohen"	0.120201
"Romano Prodi"	0.119511
Arbour	0.119386
Sihanouk	0.119247
"Jordanian King Abdullah Bin Hussein"	0.119186
Kyprianou	0.119173
"Bertie Ahern"	0.118826
Ivester	0.118718
Singson	0.118668
Ekeus	0.118643
"Chuan Leekpai"	0.118484
"John Bruton"	0.118213
"Phan Van Khai"	0.117874
Koehler	0.117767
"Maung Aye"	0.117708
Advani	0.117624
al-Hariri	0.117431
Berri	0.117294
Xanana	0.117086
Brahimi	0.117024
"Goran Persson"	0.117022
Dodik	0.117005
Kiriyenko	0.116817
al-Bashir	0.116499
Manley	0.116269
Levitt	0.116214
Xiong	0.115931
Rossotti	0.11538
"Li Peng"	0.115137
Zeman	0.115117
"Chavalit Yongchaiyudh"	0.115008
"Kim Yong Nam"	0.114943
Ciller	0.114934
"Prime Minister Banharn Silpa-Archa"	0.114865
"Boris Nemtsov"	0.114849
Bizimungu	0.114692
Nebiolo	0.11464
Rong	0.114336
Meissner	0.114197
"Meles Zenawi"	0.114044
"Jack Valenti"	0.113991
Lockhart	0.113933
Sakakibara	0.113794
Alarcon	0.113448
Mugabe	0.113424
Hodler	0.113294
Wu	0.11268
Koirala	0.112459
"Jean Chretien"	0.112381
McCurry	0.112287
Shahak	0.112266
Rua	0.112265
"Jacques Santer"	0.111728
Bildt	0.111684
Mubarak	0.111668
"Mesut Yilmaz"	0.111459
Hoss	0.111453
"Inder Kumar Gujral"	0.111363
"Ivan Kostov"	0.111345
Hamad	0.111164
Gadhafi	0.111158
Farrakhan	0.111121
Majali	0.110739
Schaeuble	0.110685
Glickman	0.110556
Fernandes	0.110515
Lebed	0.110304
"Atef Obeid"	0.109804
Daley	0.109702
"Joao Havelange"	0.109502
Kennard	0.109447
Koo	0.109446
"Jordanian King Hussein"	0.109331
tang	0.109157
"Atal Bihari Vajpayee"	0.109147
Iliescu	0.109094
Gurirab	0.109064
Juncker	0.109029
Biden	0.108984
Maslyukov	0.10892
Prewitt	0.108265
Modise	0.107991
Fu	0.107956
"President Hafez Al-Assad"	0.107878
Harmoko	0.107849
Verney	0.107746
"Gerry Adams"	0.107732
"Leon Brittan"	0.107677
el-Ganzouri	0.107572
Aliyev	0.107529
"John Major"	0.107392
"Jerzy Buzek"	0.107363
"Rafik Hariri"	0.107263
Rahman	0.107179
Schrempp	0.106846
"Secretary General Esmat Abdel-Meguid"	0.10684
Shi	0.106792
"Amnuay Virawan"	0.106779
Kumaratunga	0.106698
"Yuri Maslyukov"	0.106569
Annan	0.106547
Marulanda	0.106481
Jiang	0.106248
"Khin Nyunt"	0.106127
Obuchi	0.10596
Yilmaz	0.105815
Chi	0.105652
"Javier Solana"	0.105577
Hybl	0.104991
"Igor Ivanov"	0.104868
Cohen	0.104801
"Ibrahim Rugova"	0.1047
Sassa	0.10447
Nyerere	0.104455
"Ricardo Alarcon"	0.104319
Downer	0.104311
"Atal Behari Vajpayee"	0.104297
al-Shara	0.104047
Blair	0.104017
"Zhu Rongji"	0.103996
Albright	0.103987
"Jiang Zemin"	0.103956
"Binyamin Netanyahu"	0.103824
Abbas	0.103729
Schroeder	0.10342
Erbakan	0.103394
"Bill Skate"	0.10332
"Costas Simitis"	0.103274
Greenspan	0.103109
McCaffrey	0.1031
Samaranch	0.103095
"Salim Hoss"	0.102739
Cao	0.10268
Reimer	0.102672
Nemtsov	0.102664
Pastrana	0.102421
"John Paul"	0.102381
Caldera	0.102279
"Ryutaro Hashimoto"	0.102259
Salim	0.10224
Aventajado	0.102059
Schuessel	0.101927
"Amr Moussa"	0.101921
McKinnon	0.101866
"Tariq Aziz"	0.101806
Wei	0.101776
Stepashin	0.101775
Dae-jung	0.101668
"Kamal Kharrazi"	0.101482
Rawlings	0.101453
"Bulent Ecevit"	0.101332
Majko	0.10126
"Lawrence Summers"	0.100998
Mahathir	0.100807
Ishihara	0.100786
Bouteflika	0.100688
Maskhadov	0.100608
Bucaram	0.100328
Bondevik	0.10032
guo	0.100235
"Tung Chee Hwa"	0.100215
))
(came (desc 1063.83) (sims
reminded	0.099136
Comes	0.0951725
remained	0.0950304
dawning	0.0844055
Polgar	0.0719117
"Cup Juvenile"	0.0627391
eats	0.0618613
iteration	0.0610711
nigger	0.0600936
Heard	0.059881
burgher	0.0584672
"Chad Pennington"	0.0581283
typist	0.0568809
gook	0.0568282
"scientific theory"	0.0568008
zeitgeist	0.056242
inkling	0.055565
shag	0.0546024
Woolley	0.0539688
Cs	0.0535344
lied	0.0532371
Caray	0.0523544
infirmity	0.0515816
Futurity	0.0508566
cubism	0.0499171
Tanganyika	0.0497958
QBs	0.0493245
Baerga	0.0481076
co-premier	0.0480974
Gielgud	0.0480127
sleuthing	0.0476623
"about five percent"	0.0476568
Ahold	0.0476443
Sharaa	0.0470444
nuttiness	0.0468043
tidings	0.0461246
everytime	0.0460438
"West Berlin"	0.0456598
"Rwandan Patriotic Front"	0.045652
gist	0.0455402
pashmina	0.0455017
suction	0.045025
fabricator	0.0447293
espana	0.0445804
"David Koresh"	0.044477
folio	0.0443761
remixes	0.0441785
complained	0.0440982
"Vietnamese Communist Party"	0.0440178
subjectivity	0.0438877
"bright side"	0.0437087
straining	0.0435755
Tapani	0.0434933
hilarity	0.0433214
"nearly one-fourth"	0.0432542
pirouette	0.0428572
"one weekend"	0.042356
exhilaration	0.042281
"cut of meat"	0.0421168
"random sample"	0.041953
duh	0.0419087
toolbars	0.0418242
corroboration	0.041807
"LaPhonso Ellis"	0.0417327
mutuel	0.0416794
smallness	0.0416563
totality	0.041656
delirium	0.041642
Muralitharan	0.0414849
"Geoffrey Bodine"	0.0414361
"first four years"	0.041348
Soldini	0.0412952
"pass catcher"	0.0412361
bleakness	0.0411888
Carrera	0.0411439
punchline	0.0411192
three-putted	0.0410815
fashions	0.040865
insouciance	0.0405577
Bech	0.0405308
"Clyde Drexler"	0.0405035
self-destructed	0.0404513
Skoda	0.0403671
"Khaleda Zia"	0.0403666
triangulation	0.0401971
"High Commission"	0.0401465
"Dodi Fayed"	0.040041
))
(camel (desc 19526.2) (sims
donkey	0.148601
yak	0.146259
goat	0.130082
sheep	0.127196
oxen	0.126765
llama	0.116862
antelope	0.113788
elephant	0.111575
horse	0.105991
deer	0.104028
cow	0.103729
Pony	0.10242
leopard	0.0999565
mule	0.0995578
Buffaloes	0.0981384
Marlboro	0.0974107
pig	0.0928022
elk	0.0921246
rabbit	0.0893896
cattle	0.0889859
bison	0.0882942
monkey	0.0845972
zebra	0.0841966
hyena	0.0809285
alpaca	0.0803575
rooster	0.080219
hippo	0.0784364
gazelle	0.077194
"snow leopard"	0.0771204
reindeer	0.0765786
burro	0.0758741
ox	0.075684
dog	0.0750578
turtle	0.0742769
snake	0.074099
"water buffalo"	0.0729272
geese	0.0714481
tiger	0.0710751
lion	0.0707739
animal	0.0707013
crocodile	0.0704947
bird	0.0701695
rhino	0.0695611
hog	0.0695387
CAT	0.06939
rhinoceros	0.0686312
Motorcycle	0.0667206
bicycle	0.0664358
motorbike	0.0652998
giraffe	0.0650132
boar	0.0647638
kangaroo	0.0643363
"red deer"	0.0640763
tractor	0.0640721
"beef cattle"	0.0638301
whale	0.0631256
wolf	0.0628186
alligator	0.0627639
bike	0.0624207
moose	0.0623545
mice	0.0614492
tricycle	0.0608615
beige	0.0607365
ostrich	0.0604489
snowmobile	0.0597894
"black bear"	0.0595803
lamb	0.0588045
"giant panda"	0.0586798
chimpanzee	0.0583265
Livestock	0.0577553
cigarette	0.0574235
peacock	0.0573872
cheetah	0.0572473
chicken	0.0572045
"mountain bike"	0.0570628
Winston	0.0570514
rickshaw	0.0565303
horseback	0.0565253
calf	0.0565207
taupe	0.056372
tweed	0.0563138
jeep	0.0561407
parakeet	0.0561004
"sled dog"	0.0554971
"polar bear"	0.0552863
bull	0.0549302
duck	0.0547336
herd	0.054613
thoroughbred	0.0544975
caribou	0.0544153
rat	0.0542586
tortoise	0.053973
Dinosaur	0.0539067
"dump truck"	0.0534856
raccoon	0.0515332
Tram	0.0514524
panda	0.0513695
swine	0.0510607
sleigh	0.0510372
racehorse	0.0509371
"school bus"	0.0508495
truck	0.0506331
jackal	0.0504414
suede	0.0504365
pigeon	0.0500839
ivory	0.0500543
sled	0.0500104
python	0.0494938
Stagecoach	0.0492325
plaid	0.0491996
poultry	0.0490251
"personnel carrier"	0.0488648
"military vehicle"	0.0488203
squirrel	0.0486148
parrot	0.0483435
Yellow	0.048241
frog	0.0481892
Crane	0.0480315
dragon	0.0479209
boat	0.0478091
fleece	0.0472841
chimp	0.0472144
Pink	0.0471382
moped	0.0467295
Primate	0.0465411
spider	0.0465316
baboon	0.0464511
"Red Bullet"	0.0464031
gray	0.046158
mermaid	0.0461071
"wild boar"	0.046031
trolley	0.0460235
wool	0.0459944
leather	0.0458509
pheasant	0.0457945
iguana	0.0457791
"domestic animal"	0.045622
cart	0.0455993
Cigar	0.0452578
scooter	0.0449509
wagon	0.0447174
camper	0.0447089
ibis	0.0445248
carriage	0.0444342
"dark blue"	0.0444159
taxi	0.0441326
shark	0.0440473
gorilla	0.0438994
turquoise	0.0438159
Buggy	0.0435161
"sea turtle"	0.0434677
"African elephant"	0.0431998
dolphin	0.0429715
eagle	0.0429637
motorboat	0.0428914
Burgundy	0.0427526
"gray whale"	0.0427238
limousine	0.0426597
swan	0.0426359
pet	0.0426244
silk	0.042497
creature	0.0424626
fowl	0.0424501
"mountain gorilla"	0.0421316
"electric car"	0.0418815
"cable car"	0.0417908
lizard	0.0417751
steed	0.041752
mammal	0.0416642
reptile	0.0416007
hearse	0.0414734
ferret	0.041375
poodle	0.041337
chariot	0.0412166
"navy blue"	0.0410632
orangutan	0.0410413
"shuttle bus"	0.041012
trailer	0.0406841
"lawn mower"	0.040666
hen	0.0406236
purple	0.0404075
Harley-Davidson	0.0403145
coyote	0.0402747
beast	0.0401321
flamingo	0.0401106
))
(camellia (desc 3922.75) (sims
azalea	0.209999
rhododendron	0.176849
hydrangea	0.171837
dogwood	0.171294
peony	0.145869
hibiscus	0.144301
daffodil	0.143833
tulip	0.14184
Wisteria	0.139835
bougainvillea	0.121053
gardenia	0.118594
lily	0.117862
lilac	0.116252
orchid	0.111838
oleander	0.110719
pansy	0.110426
poinsettia	0.1096
honeysuckle	0.108274
dahlia	0.105197
Viburnum	0.104593
carnation	0.102289
geranium	0.100346
boxwood	0.0983109
Lantana	0.096472
hyacinth	0.0950581
chrysanthemum	0.0940259
impatiens	0.0940151
petunia	0.0922139
Magnolia	0.0917512
Hemlock	0.0880387
marigold	0.0878007
evergreen	0.0840258
zinnia	0.0815354
ginkgo	0.0804238
wildflower	0.0801059
jasmine	0.0787898
holly	0.0785075
houseplant	0.078294
lavender	0.0776447
shrub	0.0774589
amaryllis	0.0752672
coca	0.0739405
Juniper	0.0725821
"sweet pea"	0.0716827
"morning glory"	0.0706568
topiary	0.070151
Conifer	0.070036
cactus	0.0693006
Iris	0.0673125
sumac	0.067078
Mulberry	0.0644305
poppy	0.0642764
poplar	0.0639968
peach	0.0635945
echinacea	0.063516
Daisy	0.0632689
pomegranate	0.0631833
vine	0.062915
perennial	0.062914
Yucca	0.0626133
cypress	0.0620987
bulb	0.0609555
agave	0.0608719
clematis	0.0602861
Hawthorn	0.0595558
bluebird	0.0584232
cacao	0.0573347
ginseng	0.0573149
blueberry	0.0568547
shrubbery	0.0560655
"sweet corn"	0.0560136
foliage	0.0555225
pine	0.0554748
Yew	0.0553212
Lotus	0.0552609
grape	0.0551926
Quince	0.0551898
hosta	0.0550865
mauve	0.0546454
bauhinia	0.0544243
"day lily"	0.0525034
melon	0.0523023
abalone	0.0521128
verbena	0.0519142
plum	0.0516947
Ferraris	0.0516455
microbe	0.0512128
mangrove	0.0511771
persimmon	0.0511451
Mesquite	0.0510545
mango	0.0502279
litchi	0.0497078
raspberry	0.0490152
sapling	0.0490014
snapdragon	0.0489032
"ammonium nitrate"	0.0487891
"more than @,@@@ acres"	0.0487479
canola	0.0485954
gourd	0.0485678
Maple	0.0481655
bamboo	0.0481052
kudzu	0.047945
redwood	0.0479347
"Bengal tiger"	0.0477841
seedling	0.0476326
watermelon	0.0475188
Eames	0.0474289
tangerine	0.0473922
buckwheat	0.0472772
reptile	0.0472533
Cherry	0.0472436
ivy	0.0472094
slicker	0.0471492
papaya	0.0470787
"live oak"	0.0465334
anemone	0.0465178
"mink coat"	0.0464832
COUTURE	0.046249
hummingbird	0.0462162
hemp	0.0459515
citrus	0.0457924
violet	0.0457106
apricot	0.0456844
Stroganoff	0.0455418
"about @@,@@@ acres"	0.0455071
"organic compound"	0.04512
gunk	0.0446696
grapefruit	0.044477
"ponderosa pine"	0.044442
fescue	0.0443837
fern	0.0443498
fir	0.0442969
sunflower	0.0442731
licorice	0.0441418
maize	0.0440887
pear	0.0439269
wattle	0.0438141
radish	0.0437699
blackberry	0.0437613
heirloom	0.0436145
lime	0.0434731
fig	0.0434205
clapboard	0.0432694
"old growth"	0.0431628
phosphate	0.0430232
llama	0.042969
phosphorus	0.0428141
Opry	0.0419537
beech	0.0415907
cranberry	0.0414589
beet	0.0414118
"rainbow trout"	0.0404674
eateries	0.040319
cedar	0.0403014
"Beanie Baby"	0.0401947
))
(Camelot (desc 4723.11) (sims
Footloose	0.0745808
Oedipus	0.0688709
ragtime	0.0659203
Eurotunnel	0.057792
"Les Miserables"	0.0573111
Fantasia/@@@@	0.0544853
Annie	0.0537773
"American Dream"	0.0519524
Aida	0.0517637
Woodstock	0.0510264
"Annie Get Your Gun"	0.0501815
"musical theater"	0.0500837
Orpheus	0.0497865
"Blair Witch"	0.0491448
Faust	0.0490554
Medea	0.0488706
invincibility	0.0465593
"Sweeney Todd"	0.0465198
"Jesse James"	0.0460902
Lucasfilm	0.0460674
"Night Fever"	0.0457955
Revue	0.0457619
"Jim Crow"	0.0456532
"promised land"	0.0455621
Evita	0.0453874
"Tin Pan Alley"	0.0449276
immortality	0.0447755
Nutcracker	0.0444456
"Sea Launch"	0.0443789
"West Side Story"	0.0441706
"True West"	0.0437825
Showboat	0.0431397
cabaret	0.0431081
Win@@	0.0428111
"Comcast Corp."	0.0426522
"wild West"	0.0423252
"Robin Hood"	0.0417713
"Orange PLC"	0.0416125
"Sleepy Hollow"	0.0414784
Railtrack	0.0412712
"round table"	0.0411812
Brecht	0.0407466
"family business"	0.0407164
femininity	0.0405714
Rex	0.0405075
"Music Man"	0.0402981
"King Lear"	0.0400838
"sleeping beauty"	0.0400837
MarketWatch.com	0.0400826
))
(cameo (desc 13496.1) (sims
one-liner	0.0758067
"sight gag"	0.0732094
"bit part"	0.0687993
anecdote	0.068545
subplot	0.0634873
skit	0.0596114
gag	0.0579596
sequence	0.057216
firsts	0.0571287
asides	0.0561464
"special effect"	0.0555025
in-jokes	0.0547297
nudity	0.0537651
sketch	0.053211
"set piece"	0.0526917
riff	0.0518629
"supporting players"	0.0508063
"character actor"	0.0502508
gig	0.0496604
"TV movie"	0.0496567
Aria	0.0496421
encore	0.0488828
extras	0.048563
humor	0.0478284
"leading man"	0.0468571
tidbit	0.0466843
digression	0.0466688
snippet	0.0459539
vignette	0.0459496
phrase	0.0457788
solo	0.0457682
jingle	0.0451882
villain	0.0451374
spoof	0.0447011
parody	0.0432682
sendup	0.0431061
interlude	0.0429681
"title role"	0.0428691
montage	0.0428676
lyric	0.0427186
commentary	0.0426854
footage	0.0425622
vocals	0.042383
glimmer	0.042348
costume	0.0422852
"feature film"	0.0422159
quirk	0.042214
"John Travolta"	0.0420792
luminary	0.0420281
recital	0.0419777
gem	0.0419194
Masterworks	0.0418071
masterpiece	0.0416939
oddity	0.0416424
wisecrack	0.0414622
psycho	0.0412433
zingers	0.0411574
"Johnny Depp"	0.0410672
hunch	0.0410079
flashback	0.0409419
"George Clooney"	0.04092
impersonation	0.040787
portrayal	0.0406265
stint	0.0400818
))
(camera (desc 131549) (sims
"television camera"	0.162376
microphone	0.148325
device	0.147689
Computer	0.144233
phone	0.133387
scanner	0.133368
sensor	0.132177
monitor	0.129107
"tape recorder"	0.12578
machine	0.123709
equipment	0.121629
recorder	0.120762
"personal computer"	0.118704
"television set"	0.115567
"tv set"	0.113782
screen	0.113129
detector	0.111109
laptop	0.110079
printer	0.109677
camcorders	0.108182
VCR	0.107471
"cellular phone"	0.105556
radar	0.105527
TV	0.105355
PC	0.104585
"fax machine"	0.104351
telescope	0.104294
Projector	0.103173
modem	0.102779
television	0.102763
camcorder	0.099653
gun	0.0992833
binocular	0.098852
video	0.0969972
"laptop computer"	0.0965741
telephone	0.0953217
transmitter	0.0945382
appliance	0.0943963
instrument	0.0941951
box	0.0940858
software	0.093587
antenna	0.0934858
Satellite	0.0927766
gadget	0.0920517
card	0.0903021
car	0.0901093
radio	0.0893595
stereo	0.088978
tape	0.0876755
light	0.087009
server	0.0857044
pagers	0.0856989
system	0.0850389
photographer	0.0849908
copier	0.0843854
Robot	0.0843741
chip	0.0843073
laser	0.0836815
"CD player"	0.082892
vehicle	0.0823057
gear	0.0811916
"cellular telephone"	0.0810177
keyboard	0.0809338
toy	0.0809054
videotape	0.0806204
window	0.0804286
"electronic device"	0.0803879
mirror	0.0798089
refrigerator	0.0797012
flashlight	0.0792515
tool	0.079074
"desktop computer"	0.0789385
pistol	0.0783191
cable	0.0779123
battery	0.0777625
notebook	0.0775307
CD	0.0774422
calculator	0.0771589
lens	0.0768187
furniture	0.0765318
weapon	0.0758824
rifle	0.075802
clock	0.0754956
technology	0.0752488
headset	0.0750961
hardware	0.0749871
pen	0.0749775
picture	0.0746398
reporter	0.0745878
eye	0.0744219
image	0.0741636
goggles	0.0740007
photograph	0.073861
pad	0.0738069
pager	0.0735583
handgun	0.0735531
engine	0.07348
conditioner	0.0733872
switch	0.0733764
product	0.0731264
aircraft	0.0730645
"machine gun"	0.0729827
microscope	0.0729256
bag	0.0728584
cloth	0.0725645
model	0.0720015
generator	0.0719245
button	0.0718605
jewelry	0.0717717
shotgun	0.0716413
"electronic equipment"	0.0709597
kit	0.0708445
processor	0.0704839
item	0.0702003
mouse	0.0701351
microprocessor	0.0700973
peripheral	0.0700809
tank	0.0699259
audio	0.0698738
helicopter	0.0697667
glass	0.0696996
Internet	0.0694771
Lighting	0.0693937
truck	0.0693433
CD-ROM	0.0693087
chair	0.0693071
watch	0.0692529
lamp	0.0691074
air-conditioner	0.0690072
shoe	0.0689413
airplane	0.0687745
film	0.0686933
cassette	0.0686877
display	0.0684578
photo	0.0684028
dog	0.0682882
book	0.0681595
"video game"	0.0679381
audience	0.0676855
bicycle	0.0673693
automobile	0.0672744
"sound system"	0.0671897
accessory	0.0669824
Clothing	0.0667898
"microwave oven"	0.0667566
ball	0.0667105
console	0.0667011
gizmo	0.0665389
crowd	0.0662986
poster	0.0659773
microchip	0.0659549
map	0.0658778
boat	0.065799
"disk drive"	0.065647
crew	0.0654861
tube	0.0653077
"video screen"	0.0649789
object	0.0648719
door	0.0646653
network	0.0644802
wire	0.0643474
disk	0.0643284
bomb	0.0643255
"washing machine"	0.0642882
site	0.0636464
bottle	0.0635553
"computer screen"	0.0635223
plane	0.0634787
people	0.0631884
wallet	0.0631388
wheel	0.0630671
material	0.0630213
missile	0.0627712
semiconductor	0.062763
file	0.062725
fan	0.0627114
workstation	0.0626515
sign	0.0625997
pump	0.0625667
footage	0.0625565
feature	0.062522
"household appliance"	0.0624943
machinery	0.0622145
backpack	0.0620045
electronics	0.0619083
suitcase	0.0617331
"communications equipment"	0.0616644
doll	0.0612718
bike	0.0611761
line	0.0611714
viewer	0.0611268
"phone line"	0.0610782
billboard	0.0610404
handset	0.0609738
tire	0.0609169
explosive	0.0609131
wall	0.0608675
sprinkler	0.0607284
access	0.0604655
player	0.0603807
))
("camera angle" (desc 4165.68) (sims
visuals	0.0983192
"special effect"	0.0915543
"sound effect"	0.0857094
camerawork	0.0790447
cinematography	0.0738226
acoustic	0.0716314
angle	0.0695522
graphics	0.0681897
"line of work"	0.0637799
inflection	0.0633658
"teaching method"	0.0625173
editing	0.0602474
tempo	0.0595365
"piece of music"	0.0588037
footwork	0.0579663
gimmickry	0.0577746
configuration	0.0576237
QBs	0.0570903
storyboards	0.0569968
pyrotechnics	0.0566056
animation	0.0565135
toolbars	0.0563737
ventilation	0.0550034
"atmospheric condition"	0.0546197
typeface	0.0545675
imagery	0.0536587
gimmick	0.0535375
"video screen"	0.0535148
shading	0.053387
mannerism	0.0530409
"safety feature"	0.0525564
closeup	0.0524825
variable	0.0523396
Lighting	0.0522312
font	0.0519794
"vantage point"	0.0516868
stratagem	0.051432
typography	0.0511944
"background noise"	0.0511903
"choice of words"	0.0509579
diction	0.0508624
juxtaposition	0.0507785
personae	0.0507404
"life form"	0.0505935
choreography	0.0498454
pseudonym	0.0491698
gag	0.0488857
gameplay	0.0485949
texture	0.0483745
moniker	0.0481546
"household appliance"	0.0480325
"bodily function"	0.0477981
decor	0.0475995
orchestration	0.0475375
"tape recorder"	0.0475273
"user interface"	0.0474827
"surgical procedure"	0.0471666
"software package"	0.0468587
signage	0.0467814
"layer cake"	0.0466822
"cast of characters"	0.04641
"order book"	0.0464031
"place setting"	0.0463447
storyline	0.0462554
gizmo	0.0462408
musicianship	0.0461146
colorist	0.0460296
substitution	0.045788
gadgetry	0.0457863
"break of serve"	0.0457278
locale	0.0454932
rhyme	0.0454131
hyphen	0.0452019
"ventilation system"	0.0446481
riff	0.0445835
"film clip"	0.0445153
"foot traffic"	0.044473
"floor plan"	0.0444205
artistry	0.0443527
instrumentation	0.044306
"body language"	0.0442218
"media property"	0.044034
wavelength	0.0439952
locution	0.04399
tangent	0.0439571
seating	0.0439269
faceoffs	0.0437189
"social class"	0.0434928
"golf game"	0.0434806
viewpoint	0.0433367
alias	0.0432604
shareware	0.043055
"word processor"	0.0430383
alignment	0.0429888
contrivance	0.0429525
coincidence	0.0429435
things	0.0426968
"speeding ticket"	0.0424401
"social system"	0.0418161
telemarketer	0.0417147
ballgame	0.0416599
"role player"	0.041625
"facial expression"	0.041624
whichever	0.0415048
layout	0.0413975
louver	0.0413202
ornamentation	0.0411846
"electrical device"	0.041132
"slow motion"	0.0411255
nuance	0.0409569
creed	0.0408864
macro	0.040866
"athletic facility"	0.0407713
contraption	0.0406363
Brazile	0.0405069
emphases	0.0404757
pacing	0.0403743
staging	0.0403715
sobriquet	0.0403125
"won-lost record"	0.0402386
WordPerfect	0.0401454
Tools	0.0401448
subplot	0.0401221
"off-speed pitch"	0.0401105
nonentity	0.0400325
))
(cameraman (desc 8986.89) (sims
cameramen	0.169905
photographer	0.131631
correspondent	0.103696
"television reporter"	0.101019
copywriter	0.0991142
anchorman	0.0956912
motorcyclist	0.0953763
publicist	0.0909546
sportscaster	0.0884419
commentator	0.0875948
cinematographer	0.0848804
"art director"	0.0846053
policeman	0.0841942
journalist	0.0832122
newsman	0.081717
screenwriter	0.0802255
anchor	0.0801909
crew	0.0801047
weatherman	0.0800247
"television camera"	0.0796921
crewman	0.0786109
"truck driver"	0.0782575
scriptwriter	0.0768439
stuntman	0.0754432
"disc jockey"	0.0740241
translator	0.0733036
"talent scout"	0.0704267
technician	0.07024
newscaster	0.0701983
announcer	0.0696825
bookkeeper	0.0687572
electrician	0.0687145
interpreter	0.0681027
"copy editor"	0.0680959
Programmer	0.0673222
"security guard"	0.0666425
newswoman	0.0665956
sportswriter	0.0663441
passerby	0.0662964
photojournalist	0.0660904
"costume designer"	0.0660235
receptionist	0.0648475
"newspaper editor"	0.0646367
"graphic artist"	0.0645103
bodyguard	0.0638521
broadcaster	0.0637806
firefighter	0.0629065
bystander	0.0627172
"sports writer"	0.0620627
stylist	0.0619751
cartoonist	0.0619078
policewoman	0.0614429
policemen	0.0613778
militiaman	0.0607173
"police officer"	0.0602069
"crew member"	0.060102
roofer	0.0588408
genealogist	0.0588081
"film producer"	0.0583116
"stage manager"	0.057991
infantryman	0.0578733
medic	0.0575832
filmmaker	0.0572888
organist	0.0568223
interviewer	0.0567936
"TV reporter"	0.0566154
instructor	0.0564337
trainee	0.0562069
"maintenance man"	0.0560405
"bus driver"	0.0560251
archivist	0.0559532
meteorologist	0.0558228
co-pilot	0.0556841
illustrator	0.0555867
busboy	0.0553586
"army officer"	0.055156
salesman	0.0551321
attendant	0.055129
paparazzi	0.0550163
"air force officer"	0.0547151
reviewer	0.054458
"press agent"	0.0543252
"staff member"	0.0542235
fisherman	0.0541566
mountaineer	0.0541112
constable	0.0540973
"insurance agent"	0.0538334
co-writer	0.0537228
humorist	0.053446
"flight attendant"	0.0530202
stewardess	0.0529894
Sergeant	0.0528655
"talent agent"	0.0528027
maid	0.0525894
ornithologist	0.0525748
"social worker"	0.0525608
"management consultant"	0.0525424
skydiver	0.0524009
"private investigator"	0.0523048
pianist	0.0520018
trooper	0.0518494
lecturer	0.0518428
climber	0.0517105
chauffeur	0.0516464
"English teacher"	0.051568
"naval officer"	0.0514354
bricklayer	0.0510833
commando	0.0509658
welder	0.0509557
"intelligence officer"	0.0509106
presenter	0.050818
clerk	0.0505489
"Walter Cronkite"	0.0505337
conductor	0.0504263
filmmakers	0.0503415
parachutist	0.0499158
"test pilot"	0.0497804
reservist	0.0496129
Nivel	0.0496087
comedian	0.0495437
"drama critic"	0.049491
airmen	0.0494644
"military police"	0.0494627
"intelligence agent"	0.0494059
gunman	0.049252
"military officer"	0.0491858
schoolmate	0.049001
naturalist	0.0489366
custodian	0.0488368
lifeguard	0.0488271
Promo	0.0486769
assailant	0.0484196
soliders	0.048391
co-producer	0.0483064
accountant	0.0483063
attacker	0.0482884
archaeologist	0.0482078
crewmen	0.0481763
passers-by	0.0481529
historian	0.0481046
"staff sergeant"	0.0480293
scoutmaster	0.0478981
shepherd	0.0478069
nanny	0.0476798
passersby	0.0476589
repairman	0.0476146
sculptor	0.0475256
evangelist	0.0474873
chef	0.0474872
cashier	0.0473187
actress	0.047278
novelist	0.047272
corporal	0.047133
staffer	0.0470613
"mountain climber"	0.0470581
"police sergeant"	0.0470033
"Jim Gray"	0.046988
speechwriter	0.0469718
caddie	0.04689
botanist	0.0468625
"managing editor"	0.0466589
schoolteacher	0.046619
"computer programmer"	0.046613
"Black Panther"	0.046603
stockbroker	0.0465802
miniseries	0.0465768
housekeeper	0.046555
"hockey player"	0.0465193
jogger	0.046397
"FBI agent"	0.0463575
janitor	0.0462825
copilot	0.0462576
cadet	0.0462352
submariner	0.0461012
referee	0.0460148
seamstress	0.045876
veterinarian	0.0457118
psychologist	0.0456453
"sports editor"	0.045482
"day laborer"	0.0454406
motorist	0.0454203
diver	0.0453443
well-wisher	0.0453012
"real estate agent"	0.045289
sailor	0.0452748
armymen	0.0452409
"disk jockey"	0.0452144
Playwright	0.0452061
patrolman	0.0451701
messenger	0.0451123
"deputy sheriff"	0.0450849
"bird watcher"	0.0450148
paralegal	0.0449456
apprentice	0.044865
foreman	0.0448646
rescuer	0.0448534
plumber	0.0447579
columnist	0.0447106
"fashion model"	0.044601
"situation comedy"	0.0445331
))
(cameramen (desc 4887.19) (sims
cameraman	0.169905
"television camera"	0.135127
photographer	0.129374
well-wisher	0.0983631
onlooker	0.091509
"television reporter"	0.0897526
paparazzi	0.0863793
motorcyclist	0.0797688
correspondent	0.0736021
policemen	0.0715396
sportswriters	0.0715039
passers-by	0.0709471
sportscaster	0.0688075
skydiver	0.0685276
townsfolk	0.0678868
technician	0.0669278
"Shao Yunhuan"	0.0657282
protestor	0.0654511
bystander	0.0646682
"fire truck"	0.0645825
gawkers	0.0643996
anchorman	0.0636584
filmmakers	0.0633854
demonstrator	0.0629565
spectator	0.0626868
weatherman	0.062136
protester	0.061887
policeman	0.0618163
passersby	0.0616183
commentator	0.061094
"Black Panther"	0.0602734
timeouts	0.0600687
publicist	0.0597796
newsmen	0.0596917
copywriter	0.0596879
"truck driver"	0.0594716
"security guard"	0.0590341
pundit	0.0589995
"disc jockey"	0.0587035
stone-throwers	0.0586116
scriptwriter	0.0580259
bigwig	0.0578768
underling	0.0577767
mourner	0.0576692
seeker	0.0576635
booker	0.0575226
puppeteer	0.0574976
flashbulb	0.0565369
"crew member"	0.0564105
heckler	0.0563025
interviewer	0.0562093
cartoonist	0.0558408
"ad blitz"	0.0557494
crewmen	0.0556005
broadcaster	0.0552437
"Norman Lear"	0.0551359
paramedic	0.0551035
cinematographer	0.0548993
humorist	0.0548177
"intelligence agent"	0.05466
"art director"	0.0540738
"shop assistant"	0.0540278
scalpers	0.0537904
"talking head"	0.0537234
stylist	0.0536021
staffer	0.0534019
"letter writer"	0.0533726
"FBI agent"	0.0529587
propagandist	0.0526043
"disk jockey"	0.052538
"staff member"	0.0523927
submariner	0.0523398
newscaster	0.0519074
"film producer"	0.0517502
Crews	0.0513376
evangelist	0.0511047
announcer	0.0509788
"TV reporter"	0.0508831
clicker	0.0508
"graphic artist"	0.0507381
communicator	0.0506154
installers	0.050386
"newspaper editor"	0.0497502
celebs	0.0497177
"talent scout"	0.0497171
"TV station"	0.0497075
"fire fighter"	0.0495794
moviemakers	0.0495137
mountaineer	0.0493537
adventurer	0.049224
geese	0.0491422
"copy editor"	0.0490724
medic	0.0490458
dignitary	0.0489414
crewmembers	0.0488461
"medical specialist"	0.0488311
motorist	0.0487842
"campaign worker"	0.0486673
"business executive"	0.048464
newsmagazines	0.0484589
newswoman	0.0484512
interpreter	0.0482496
Klansmen	0.0481694
worshiper	0.0481501
busload	0.0480229
marcher	0.0477793
soliders	0.0475734
interloper	0.0474423
searcher	0.0474304
"weather forecaster"	0.0474147
"police detective"	0.0474123
retrospectives	0.0473355
clergymen	0.0473156
"government officials"	0.0472619
soundbites	0.0472429
"police car"	0.0471008
"sports writer"	0.0470764
tacklers	0.0469498
pallbearer	0.0469389
exhibitor	0.0469256
surveyor	0.0468674
"Sri Lankans"	0.0464866
receptionist	0.046449
triathletes	0.0463403
screenwriter	0.0463118
remotes	0.0462049
"Katie Couric"	0.0461699
"day laborer"	0.0460627
picketers	0.0460265
Frenchmen	0.0460181
"bus driver"	0.0459711
"costume designer"	0.0459667
"hundred miles"	0.0457695
luminary	0.0457669
concertgoers	0.0457454
horde	0.0456935
"relay stations"	0.0456738
Lindland	0.0456283
boater	0.0456063
"news media"	0.0455585
illegals	0.0453375
hangers-on	0.0453101
techies	0.0453094
climber	0.0452422
"federal agent"	0.045185
oilmen	0.0451452
firemen	0.0451369
Programmer	0.0450733
salespeople	0.0450431
trooper	0.0449726
animators	0.0447801
firefighters	0.0447549
reviewer	0.0447517
congregants	0.0446675
filmmaker	0.0446006
duffer	0.0444262
"TV audience"	0.0442595
Ambulance	0.0441849
straggler	0.0439901
"business editor"	0.0439828
bodyguard	0.0439709
ABS-CBN	0.0439477
caterer	0.0438678
"bird watcher"	0.0438125
"mountain climber"	0.0437326
"tape recorder"	0.0436886
socialite	0.0436819
"intelligence officer"	0.0436399
airmen	0.0435126
questioner	0.0433864
scribe	0.0433204
presenter	0.0432656
DJ	0.043258
iTV	0.0432541
archaeologist	0.0431471
buff	0.043035
"news show"	0.0430348
repairmen	0.0429587
"warm front"	0.0429023
attendant	0.0428966
"military vehicle"	0.0428696
carload	0.0427802
Beijingers	0.0427078
balloonist	0.0426043
assailant	0.0424744
nonwhites	0.04237
"fishing boat"	0.0421435
verifiers	0.0421296
operative	0.0420596
collaborator	0.0420069
"hundred thousand"	0.0419769
crewman	0.0419638
statesmen	0.0418366
Yemeni	0.0417904
"broadcasting company"	0.0417611
florist	0.0415469
Dramedy	0.041481
"military officer"	0.041364
Zapruder	0.0413457
"census taker"	0.041268
))
(camerawork (desc 2119.62) (sims
cinematography	0.0993088
imp	0.0838158
"camera angle"	0.0790447
gameplay	0.0654885
"electrical device"	0.0622126
"musical score"	0.0603809
choreography	0.0596176
slickness	0.0594305
platforms	0.0513602
"water filter"	0.0500519
cellphones	0.0492727
pacing	0.0487413
postmodernism	0.0480751
visuals	0.0478369
"sound effect"	0.0471503
sparkler	0.0470772
sumac	0.0455077
remixes	0.0451957
Koznick	0.0444796
"film clip"	0.0440476
webcams	0.042679
"big leaguer"	0.0411294
pyrotechnics	0.04064
"satellite receiver"	0.0404174
"piece of work"	0.0402231
))
(Cameron (desc 8281.47) (sims
"David Bell"	0.122247
"Mike Cameron"	0.11842
Lankford	0.100892
Vidro	0.0995276
Alfonzo	0.0974312
Fryman	0.0968999
"Tom Goodwin"	0.0967793
McLemore	0.0961717
"Stan Javier"	0.0955993
"Marvin Benard"	0.0955635
"Eric Owens"	0.0955431
Clayton	0.092955
Rolen	0.0922479
Palmeiro	0.0921235
"Kenny Lofton"	0.0897938
Javier	0.0891715
Cedeno	0.0880287
Dunston	0.0867093
Biggio	0.0865119
Karros	0.0864939
Bragg	0.0862613
Bagwell	0.0859102
McRae	0.0858202
Everett	0.0849535
"Edgardo Alfonzo"	0.0847875
"Devon White"	0.0846965
Buhner	0.0846552
Erstad	0.0845865
Segui	0.0845466
Alomar	0.0843567
"Robin Ventura"	0.0841283
"Marquis Grissom"	0.0841182
"Jeff Bagwell"	0.083807
Caminiti	0.0836847
Valentin	0.083209
Helton	0.0828861
"Sean Casey"	0.0826086
"John Olerud"	0.0826041
Beltran	0.0824685
Bordick	0.0822307
"Bret Boone"	0.0822028
Cirillo	0.0819311
"Dante Bichette"	0.0817051
Damon	0.081676
"Andruw Jones"	0.0813329
Gilkey	0.0812815
Leyritz	0.0810934
"Melvin Mora"	0.0810819
Burks	0.0810616
"Darren Lewis"	0.0810205
Higginson	0.0809993
Burnitz	0.0808872
Alou	0.0807589
Glaus	0.080698
"Brian Hunter"	0.080651
"Will Clark"	0.0805968
"Mark Loretta"	0.0803363
Bergeron	0.0802309
Brett	0.0801755
Hidalgo	0.0801593
Giambi	0.0797948
"Dmitri Young"	0.0796705
Aurilia	0.0796496
"Frank Thomas"	0.0796453
"Bruce Aven"	0.0793686
Daubach	0.0791725
Garciaparra	0.0791054
"Johnny Damon"	0.079104
Renteria	0.0785257
Olerud	0.0783614
"Deivi Cruz"	0.0783054
Curtis	0.0780495
"Ray Lankford"	0.0779316
"Jose Valentin"	0.0779238
Baerga	0.0779079
"Matt Lawton"	0.0778136
"Alex Rodriguez"	0.0776924
"Warren Morris"	0.0774431
"Benny Agbayani"	0.0773071
"Alex Gonzalez"	0.0772574
Gwynn	0.0771569
"Dan Wilson"	0.0771545
Cabrera	0.0770346
Glanville	0.0768879
Brosius	0.0768804
"Ken Griffey Jr."	0.0767963
Spencer	0.0767244
Finley	0.0763192
"John Vander Wal"	0.0761761
Justin	0.0760367
"Jim Edmonds"	0.0758689
"Adrian Beltre"	0.0757134
Giles	0.0756497
"Damian Jackson"	0.0751338
"Ken Caminiti"	0.0750778
"Bernie Williams"	0.0749268
"Scott Brosius"	0.0748987
Womack	0.074842
Nevin	0.0747785
"Jay Buhner"	0.0747503
"Eddie Taubensee"	0.0747116
"Bill Spiers"	0.0746561
Fullmer	0.0746119
Knoblauch	0.0746008
"Derrek Lee"	0.0745117
Ordonez	0.0743845
"Bill Mueller"	0.0743582
Kapler	0.0743549
DiSarcina	0.0742619
"Eric Karros"	0.0742465
"Darin Erstad"	0.074214
"Mark Kotsay"	0.074212
Varitek	0.0740853
Casey	0.0740261
Hollins	0.0740233
Canseco	0.0738573
Surhoff	0.0737499
"Gerald Williams"	0.073622
Lieberthal	0.0732777
"Gary Sheffield"	0.0732159
"Carl Everett"	0.0730812
Griffey	0.0730715
Sexson	0.0728049
"Rickey Henderson"	0.0727482
Boggs	0.0726099
Jeter	0.0725753
"Mike Lansing"	0.0725045
"Jeffrey Hammonds"	0.07247
"Paul Konerko"	0.0723657
"Harold Baines"	0.0722625
"Kevin Young"	0.0722095
Hundley	0.0721843
Jamie	0.0716371
"Brady Anderson"	0.0716287
"Scott Rolen"	0.0713749
"Chris Widger"	0.0712794
"Geoff Jenkins"	0.0712579
"Charles Johnson"	0.0711628
"Ron Gant"	0.0710875
"Carlos Beltran"	0.0708918
DeShields	0.0708533
Brody	0.0707818
"Chad Curtis"	0.070694
Konerko	0.0706784
Boone	0.0706781
Gregory	0.0706223
"Carlos Lee"	0.0706065
Rodriguez	0.0705701
"Jeff Conine"	0.0704238
Bichette	0.0703715
"Rondell White"	0.0702873
"Pat Meares"	0.0702446
"Brant Brown"	0.070189
Galarraga	0.0701727
Shane	0.0701357
Ramirez	0.069954
Mateo	0.0699506
"Bobby Higginson"	0.069914
"Gabe Kapler"	0.0698822
"Bobby Abreu"	0.0698351
Sosa	0.0698157
Gonzalez	0.0697358
"Jeff Kent"	0.0697251
"Brian McRae"	0.0696821
"Tom Lampkin"	0.0696756
"Edgar Martinez"	0.0692993
Alex	0.0692283
Klesko	0.0691533
"Eric Young"	0.0691184
Ripken	0.0690899
Zeile	0.0689754
Ledee	0.0686534
"Damian Miller"	0.0686052
Frye	0.0685703
"Travis Fryman"	0.0683176
"Joe Randa"	0.068278
Buford	0.0682532
Brian	0.0680565
Abreu	0.0679618
Luke	0.067926
"Travis Lee"	0.0678564
"Richard Hidalgo"	0.0678125
Grudzielanek	0.0676745
"Preston Wilson"	0.0676246
"Steve Finley"	0.0675832
Liam	0.0675789
Lamar	0.0675404
Wayne	0.0674545
"Chuck Knoblauch"	0.067393
"J.T Snow"	0.0673623
"Brian Giles"	0.0673183
Delgado	0.0672987
Spielberg	0.0671725
Lofton	0.0671486
Todd	0.0670559
Agbayani	0.0670514
Steven	0.067036
Arnold	0.0670131
"Kevin Elster"	0.0669963
"Jason Giambi"	0.0669909
))
("Cameron Diaz" (desc 6897.28) (sims
"Edward Norton"	0.136811
"Claire Danes"	0.135403
"Winona Ryder"	0.133366
"James Woods"	0.131434
"Natasha Richardson"	0.125432
"Bill Pullman"	0.121343
"Matt Damon"	0.121321
"Ben Affleck"	0.118568
"Ben Stiller"	0.117798
"Drew Barrymore"	0.116329
"Calista Flockhart"	0.115362
"AL PACINO"	0.114508
"Jamie Foxx"	0.111586
"Glenn Close"	0.111532
"Sharon Stone"	0.110804
"Gwyneth Paltrow"	0.108271
"Janeane Garofalo"	0.108267
"Dennis Quaid"	0.104777
"Catherine Keener"	0.104719
"Amy Brenneman"	0.104571
"Jude Law"	0.103116
"Leonardo DiCaprio"	0.101346
"Melanie Griffith"	0.10061
"Kevin Kline"	0.100545
"Cate Blanchett"	0.0994092
"Minnie Driver"	0.099329
"Matt Dillon"	0.0973867
"Geoffrey Rush"	0.0968708
"Angelina Jolie"	0.0966341
"Meryl Streep"	0.0946523
"Meg Ryan"	0.094211
"JOHN TURTURRO"	0.0925252
"Liv Tyler"	0.0920295
"Jennifer Lopez"	0.0914287
"Elizabeth Hurley"	0.0905696
"Hank Azaria"	0.0880097
"Michelle Pfeiffer"	0.0880025
"Alec Baldwin"	0.0872756
"Johnny Depp"	0.086968
"Stephen Rea"	0.0866568
"Catherine Deneuve"	0.0865788
"Carmen Electra"	0.0852928
"Harrison Ford"	0.0849918
"Claudia Schiffer"	0.084848
"Michael Douglas"	0.0845606
"Julia Roberts"	0.0838785
"Susan Sarandon"	0.0835451
"John Malkovich"	0.0833762
"Jeremy Irons"	0.0823687
"Rupert Everett"	0.0815053
"Dustin Hoffman"	0.0797409
"Annette Bening"	0.079691
"Kevin Costner"	0.0796485
"Geena Davis"	0.079557
"Gary Sinise"	0.0794237
"Uma Thurman"	0.0772498
"Judi Dench"	0.0766751
"Joseph Fiennes"	0.0766617
"Janet McTeer"	0.0764688
"Billy Bob Thornton"	0.0764254
"Jeff Goldblum"	0.075518
"William H. Macy"	0.0747647
"Nicole Kidman"	0.0744342
"Vanessa Redgrave"	0.0740869
"Rob Lowe"	0.0738181
"Brooke Shields"	0.0735828
"Angela Bassett"	0.0733769
"Russell Crowe"	0.0733327
"Sandra Bullock"	0.0731795
"Kirsten Dunst"	0.0728971
"Penelope Cruz"	0.0724865
"Ralph Fiennes"	0.0723542
Damon	0.0722355
"Tom Cruise"	0.0719803
"Hilary Swank"	0.0719672
"Keanu Reeves"	0.0712834
"Chow Yun-Fat"	0.0712096
"Robert DeNiro"	0.071122
"Kathy Bates"	0.0705092
"Brad Pitt"	0.0703779
"Roberto Benigni"	0.0703556
"Bruce Willis"	0.0701363
"Adam Sandler"	0.0696824
"Ryan Phillippe"	0.0692738
"Helen Hunt"	0.0687938
"Robin Williams"	0.0680595
"Stanley Tucci"	0.0674977
"Kevin Spacey"	0.0673451
"Richard Gere"	0.0671319
"Lauren Bacall"	0.0670164
"John Goodman"	0.0669509
"John Travolta"	0.0669042
"Robert de Niro"	0.0666494
"Ted Danson"	0.0664784
"Christian Slater"	0.0662436
"Tommy Lee Jones"	0.0660468
"Chevy Chase"	0.0659334
"Whoopi Goldberg"	0.0657025
"Charlton Heston"	0.0653727
"Arnold Schwarzenegger"	0.0652996
"Denzel Washington"	0.0644046
"Matthew McConaughey"	0.064372
"Ethan Hawke"	0.0642959
"Liam Neeson"	0.0640991
"Emily Watson"	0.0640707
"Woody Harrelson"	0.0639602
"Julianne Moore"	0.0635913
"Kim Basinger"	0.0634203
"Kate Winslet"	0.0633169
"Vanessa Williams"	0.0623107
"Ed Harris"	0.0621539
"Will Smith"	0.0618558
"Jennifer Aniston"	0.0617609
"Jane Fonda"	0.0617089
"Dame Judi Dench"	0.0617052
"Mike Myers"	0.0612201
"Sally Field"	0.0611444
"Ashley Judd"	0.0610577
"Holly Hunter"	0.0607386
"Bridget Fonda"	0.0606475
"Elizabeth Taylor"	0.0604893
"Robert Redford"	0.0597964
"Chris Rock"	0.0596502
"Tom Hanks"	0.0594558
"Frances McDormand"	0.0593938
"Matthew Broderick"	0.0591669
"Jennifer Love Hewitt"	0.0587865
"Andre Braugher"	0.0584849
"Courtney Love"	0.058397
"Sidney Poitier"	0.0582833
"Antonio Banderas"	0.0581092
"David Arquette"	0.0580006
"Goldie Hawn"	0.0579783
"Pierce Brosnan"	0.0579119
"Faye Dunaway"	0.0573883
"Samuel L. Jackson"	0.0573835
"Wesley Snipes"	0.0568492
"Martin Sheen"	0.0568011
"Halle Berry"	0.0566951
"Jack Nicholson"	0.0566903
"Natalie Portman"	0.0566152
"Edward Furlong"	0.0562191
"Marlene Dietrich"	0.0557611
"Nathan Lane"	0.0557219
"Robert Downey Jr."	0.0554815
"Christian Bale"	0.0550952
"Parker Posey"	0.0548245
"Gillian Anderson"	0.054781
"Stellan Skarsgard"	0.0545743
"Alicia Silverstone"	0.0545441
"Ian McKellen"	0.0539134
"Eddie Murphy"	0.0531994
"John Leguizamo"	0.0531891
"Famke Janssen"	0.0531711
"Patricia Arquette"	0.0529507
"Joan Allen"	0.0529126
"Michael Caine"	0.0524112
"Bette Midler"	0.0523332
"Jimmy Smits"	0.0522468
"Kenneth Branagh"	0.0519706
"Danny DeVito"	0.0516716
"Kirk Douglas"	0.0515862
"Joan Cusack"	0.0514341
"Hugh Grant"	0.0511434
"Jerry Buss"	0.0511168
"Sarah Michelle Gellar"	0.0510163
"Tracey Ullman"	0.0509329
"Mandy Patinkin"	0.0508336
"Steve Martin"	0.0507906
"Jim Carrey"	0.0507483
"Humphrey Bogart"	0.0505064
"John Lithgow"	0.0504871
"Clint Eastwood"	0.0504845
"Tom Selleck"	0.0504252
"Jeff Bridges"	0.0502903
"Jackie Chan"	0.0502549
"Demi Moore"	0.0501988
"Cuba Gooding Jr."	0.0497928
"Camryn Manheim"	0.0497541
"Heather Graham"	0.0496549
"Nicolas Cage"	0.0496224
"Gregory Peck"	0.049527
"Nick Nolte"	0.0492294
"Jodie Foster"	0.049017
"Billy Crystal"	0.0487899
"Brenda Blethyn"	0.0483871
"Bill Murray"	0.048336
swank	0.0482659
"Richard Dreyfuss"	0.0482602
"Christopher Walken"	0.0480527
"John Cusack"	0.0480168
"George Clooney"	0.0478844
"Sarah Jessica Parker"	0.0476975
"Paul Newman"	0.0475931
"Anne Heche"	0.0474533
"Robert Duvall"	0.0474028
"Chloe Sevigny"	0.0472854
"Helen Mirren"	0.0472099
Jolie	0.047057
"Alfre Woodard"	0.0469285
))
(Cameroon (desc 25867) (sims
Mali	0.247162
Cameroun	0.245231
Gabon	0.243811
Tunisia	0.232606
"Burkina Faso"	0.231869
Togo	0.226898
Ghana	0.222654
Senegal	0.218265
Benin	0.216653
Gambia	0.193706
"Ivory Coast"	0.18783
Mauritius	0.187206
Guinea	0.18594
Namibia	0.180438
Morocco	0.178749
Paraguay	0.177879
Niger	0.177751
Madagascar	0.174232
Chad	0.173302
"Equatorial Guinea"	0.171967
Mauritania	0.168843
Nigeria	0.165004
Malawi	0.163286
Botswana	0.158307
Norway	0.156798
Mozambique	0.152899
Zimbabwe	0.151251
Algeria	0.148484
Denmark	0.147959
"Republic of Congo"	0.147122
"Sao Tome and Principe"	0.14651
Liberia	0.14517
Jamaica	0.142996
Bulgaria	0.142326
Djibouti	0.141233
"South Africa"	0.140966
Zambia	0.140784
Bolivia	0.140041
"Guinea Bissau"	0.139882
"Central African Republic"	0.138831
Argentina	0.138414
Croatia	0.137654
Swaziland	0.137265
Belgium	0.137176
Comoros	0.136553
Seychelles	0.135325
Brazil	0.13486
"Cape Verde"	0.134835
Ethiopia	0.134594
Romania	0.132208
Angola	0.131689
Uruguay	0.130666
Uganda	0.126159
Kenya	0.126075
Sweden	0.125925
Finland	0.125769
Slovakia	0.125584
Congo	0.125474
Hungary	0.124904
Ecuador	0.124553
Spain	0.124015
Netherlands	0.122866
Tanzania	0.121152
Guinea-Bissau	0.121086
Uzbekistan	0.120625
Egypt	0.120515
"Costa Rica"	0.120369
"Saudi Arabia"	0.120323
Portugal	0.119005
"Czech Republic"	0.118888
Lithuania	0.118684
Slovenia	0.118428
Zaire	0.117884
"South Korea"	0.117835
Guatemala	0.117054
Chile	0.116126
Italy	0.115995
Belarus	0.115821
Scotland	0.114786
"Sierra Leone"	0.114449
Burundi	0.114154
Colombia	0.114079
Austria	0.112455
Qatar	0.112251
Lesotho	0.111615
Yemen	0.110924
"El Salvador"	0.110789
Peru	0.109774
Poland	0.109672
"Trinidad and Tobago"	0.109657
Eritrea	0.108942
Mexico	0.108889
Estonia	0.108694
Switzerland	0.108366
Libya	0.108227
Kazakhstan	0.107503
Armenia	0.106983
"New Zealand"	0.106955
"Sri Lanka"	0.106681
Ukraine	0.105673
Sudan	0.105595
"Democratic Congo"	0.105274
Venezuela	0.104234
France	0.104013
Latvia	0.103197
Rwanda	0.102071
"United Arab Emirates"	0.101607
Guyana	0.10109
Australia	0.100934
Oman	0.100925
Iran	0.100497
Malaysia	0.0996187
Germany	0.0993913
Iceland	0.0985595
Moldova	0.0983191
England	0.0976851
Cuba	0.0965848
Canada	0.0961397
Wales	0.0957144
Nicaragua	0.0956179
"Papua New Guinea"	0.0944234
Barbados	0.0943715
Ireland	0.0928929
"Dominican Republic"	0.0928667
Bahrain	0.0927833
India	0.0921472
Luxembourg	0.0917643
Ivoire	0.0917563
Mongolia	0.0915276
Greece	0.0908554
Azerbaijan	0.0906326
Malta	0.0904865
Kazakstan	0.090113
Haiti	0.0888204
Indonesia	0.0882532
Pakistan	0.0874618
Thailand	0.0873343
"Dallas Burn"	0.0872108
"Congo Republic"	0.0866646
"Chicago Fire"	0.0852147
Honduras	0.0851438
"Democratic Republic of the Congo"	0.085143
Juventus	0.08406
"DPR Korea"	0.0840545
"Florida Panthers"	0.0840109
Yugoslavia	0.0839589
"Chinese Taipei"	0.0837606
Somalia	0.0828261
"Calgary Flames"	0.0820492
Cambodia	0.080929
Bangladesh	0.080907
Fiji	0.0801289
Galatasaray	0.0801084
"Sandrine Testud"	0.0800665
Kuwait	0.0799404
Fiorentina	0.0785976
Japan	0.0782731
MetroStars	0.0779358
Burma	0.0778319
Turkey	0.0778134
"Slovak Republic"	0.077652
Panama	0.0775331
"Edmonton Oilers"	0.0768356
"Real Madrid"	0.0761526
"Miami Fusion"	0.0759784
"Democratic Republic"	0.0754367
"Manchester United"	0.0752901
Brunei	0.0751034
"African nation"	0.0750754
"African country"	0.0748579
Holland	0.0747838
"Maple Leafs"	0.074626
Kyrgyzstan	0.0743227
"D.C. United"	0.0737995
"The Netherlands"	0.0733203
"Dallas Stars"	0.0728515
"Buffalo Sabres"	0.072745
Turkmenistan	0.072574
DRC	0.0724708
Russia	0.0721886
"Colo Colo"	0.0721245
Tajikistan	0.07178
"Vancouver Canucks"	0.071595
Tonga	0.0715161
Syria	0.0710913
"American Chanda Rubin"	0.0708864
"Barbara Schett"	0.0703648
Myanmar	0.0703297
Laos	0.0702899
Macedonia	0.0702051
"Sebastien Grosjean"	0.0699796
"San Jose Sharks"	0.0698564
Andorra	0.0695703
Udinese	0.0694642
"New York-New Jersey MetroStars"	0.0693992
"Albert Costa"	0.0693079
"Jennifer Capriati"	0.0692728
Brondby	0.068929
Philippines	0.0689011
Britain	0.0687881
))
(Cameroonian (desc 1191.06) (sims
Bahraini	0.165554
Ukrainians	0.110367
Namibian	0.108158
Yemeni	0.099138
Nepali	0.0876736
Guinean	0.0813119
Slovaks	0.0784878
Ashkhabad	0.0704423
Kyrgyz	0.070157
"Prime Minister Kamal El-Ganzouri"	0.066579
Denpasar	0.0642174
Astana	0.0638414
Macedonian	0.0628775
Kamal	0.0627996
Bamako	0.06274
Charikar	0.0624287
Manado	0.0623858
PATNA	0.0621618
Moroni	0.0619949
Chisinau	0.0588498
Jayapura	0.0580318
Lucknow	0.0579996
westerner	0.0577333
Kupang	0.0562426
Taloqan	0.0535007
Kamajors	0.0529666
"Iranian Jews"	0.0516765
Vladikavkaz	0.0512474
"two Poles"	0.0510537
Vilnius	0.0503246
"Tim Fischer"	0.050035
"Allied Pilots Association"	0.0498921
"Harry Kewell"	0.0496893
Lithuanian	0.0495159
Ghanaians	0.0494268
"Atef Obeid"	0.048856
IRGC	0.048179
el-Ganzouri	0.0464941
"General Committee"	0.04632
"Bosnian Serb"	0.0462556
Ibadan	0.046103
Kuito	0.0452875
Brinkman	0.0450576
Quetta	0.0437998
Klima	0.0437994
"Bob Taft"	0.0437551
ensign	0.0436129
Jalalabad	0.0435923
copilot	0.042963
"Lokendra Bahadur Chand"	0.0428804
Qatari	0.0428505
Rodionov	0.0426345
mutineer	0.042366
"foreign officials"	0.0421418
"Bosnian Muslim"	0.0419815
"Consultative Group"	0.0419222
"Dmitri Khristich"	0.0416779
Belarussian	0.0416617
Kozeny	0.0413575
Gatling	0.0407549
Interahamwe	0.0406135
))
(Cameroun (desc 13698.1) (sims
Benin	0.259609
Cameroon	0.245231
Mali	0.239879
Niger	0.234977
Gambia	0.233826
Togo	0.225438
"Equatorial Guinea"	0.218164
Gabon	0.217192
"Burkina Faso"	0.216874
Chad	0.211332
Madagascar	0.195875
Senegal	0.195277
Malawi	0.193383
Ghana	0.186428
Comoros	0.18561
"Sao Tome and Principe"	0.182994
Djibouti	0.180504
Botswana	0.1781
Mauritania	0.175733
Mauritius	0.17259
"Ivory Coast"	0.171435
"Central African Republic"	0.171314
Guinea	0.16954
Mozambique	0.163514
"Cape Verde"	0.162484
Namibia	0.161783
Zambia	0.154626
Ethiopia	0.152034
"Republic of Congo"	0.150714
Tanzania	0.150062
Liberia	0.149773
Burundi	0.14973
Uganda	0.147725
Nigeria	0.145988
Angola	0.14334
Guinea-Bissau	0.143129
"Democratic Congo"	0.143052
"Guinea Bissau"	0.142165
Zimbabwe	0.141985
Seychelles	0.139785
Swaziland	0.139548
Lesotho	0.137649
Yemen	0.137465
Kenya	0.137201
Tunisia	0.135345
Sudan	0.129976
Zaire	0.12986
Algeria	0.129335
Congo	0.128501
"Sierra Leone"	0.120121
Rwanda	0.118595
Eritrea	0.117788
Egypt	0.115739
Libya	0.114424
"Democratic Republic of the Congo"	0.112043
Ivoire	0.111285
"South Africa"	0.108215
Morocco	0.107398
Armenia	0.104352
Nicaragua	0.101917
"African country"	0.099717
Guyana	0.0977401
Azerbaijan	0.0951176
Cambodia	0.094233
Pakistan	0.091225
Somalia	0.0894697
"Central Africa"	0.0894409
DRC	0.0889486
Bolivia	0.0883203
"African nation"	0.0875475
Qatar	0.0867274
Bangladesh	0.0864555
"Sri Lanka"	0.0861079
Iran	0.0857854
Peru	0.0845165
Mongolia	0.0844831
Ukraine	0.0843333
Bulgaria	0.0842875
"Saudi Arabia"	0.0841591
Kyrgyzstan	0.0841246
"Democratic Republic"	0.0839302
Venezuela	0.0833907
"Papua New Guinea"	0.0826539
"Congo Republic"	0.082556
Oman	0.0822156
Haiti	0.0805131
Surinam	0.080435
UAE	0.0795425
"El Salvador"	0.0789118
Moldova	0.0788674
"United Arab Emirates"	0.0776161
Malaysia	0.0774871
Ecuador	0.0772183
Bahrain	0.0768515
Malta	0.0765892
Nepal	0.0761661
India	0.0761642
Indonesia	0.0761015
Paraguay	0.0759938
Laos	0.0757214
Zanzibar	0.0747358
Romania	0.0740192
Turkey	0.0735336
Republic	0.0733671
Hungary	0.0725164
Syria	0.0724502
Kuwait	0.0720586
Camerounian	0.071863
Maldives	0.0717596
Vietnam	0.0717248
Kazakhstan	0.0708718
Uzbekistan	0.0701721
"Republic of Korea"	0.0689495
Greece	0.068762
"Viet Nam"	0.0686029
Uruguay	0.0685353
Thailand	0.0685309
Burma	0.0685195
Slovenia	0.068368
Belgium	0.0683505
Tajikistan	0.0682539
Lebanon	0.0679306
"Democratic Republic of Congo"	0.0678466
Argentina	0.0674323
Panama	0.0673628
PNG	0.0671303
Portugal	0.0670163
"Costa Rica"	0.0668326
Iraq	0.0668286
Brunei	0.0662242
DPRK	0.066087
Poland	0.06605
Bosnia-Herzegovina	0.0659198
Montenegro	0.0658581
Belarus	0.0653045
Cyprus	0.0648583
Albania	0.0648173
Myanmar	0.0647721
"United Kingdom"	0.0647573
Chile	0.0646228
Yugoslavia	0.0645983
Brazil	0.0645674
Jamaica	0.0643598
Guatemala	0.0641751
Cuba	0.0636046
Colombia	0.0635721
Britain	0.0633833
Afghanistan	0.0626806
Honduras	0.0625305
Croatia	0.0618087
ROK	0.0616811
Finland	0.061663
"Democratic People's Republic of Korea"	0.0609263
"New Zealand"	0.0608946
Tadzhikistan	0.0608211
"Palestinian National Authority"	0.0606372
"Bosnian Serb Republic"	0.0604451
"Dominican Republic"	0.0597694
"Republika Srpska"	0.0596142
KwaZulu/Natal	0.0594138
"South Korea"	0.05936
Kirghizstan	0.0592932
"North Korea"	0.0591513
Singapore	0.058961
"Central American country"	0.0587874
Norway	0.0586861
Abkhazia	0.0585159
Jordan	0.0585102
Latvia	0.0584062
Bhutan	0.0580409
Palestine	0.0580137
Turkmenistan	0.05758
"Asian nation"	0.0575463
Austria	0.0574422
Philippines	0.0571023
EU	0.0569016
"Russian Federation"	0.05652
Spain	0.0559411
TUNIS	0.0554842
Vanuatu	0.0554153
Abuja	0.0552928
PYONGYANG	0.0549146
Palau	0.0545197
"Federal Republic"	0.0543821
Khartoum	0.0541875
"South American country"	0.0541842
Iceland	0.0541539
"Economic Community of West African States"	0.0541335
Lithuania	0.0538596
Kazakstan	0.0534905
Kingdom	0.0534231
Serbia	0.052962
Samper	0.0529194
Kabila	0.0528527
Luxembourg	0.0527115
Slovakia	0.0525909
Macedonia	0.0524165
"member country"	0.0523505
Estonia	0.0523459
Switzerland	0.0523366
))
(Camerounian (desc 1261.36) (sims
Ivorian	0.231691
"South Vietnamese"	0.220711
Tajik	0.21852
Zairian	0.217653
Botswanan	0.21267
Kyrgyz	0.195729
Belarusian	0.1955
Ecuadorean	0.178328
Uzbek	0.178023
Belarussian	0.177182
Azerbaijani	0.173515
Abkhazian	0.172385
"Sri Lankan"	0.171998
Turkmen	0.171135
Latvian	0.168056
"Bosnian Muslim"	0.166779
Kazakh	0.166732
Ecuadoran	0.164337
Azeri	0.161332
Ingush	0.160157
Rwandese	0.157463
Slovak	0.143492
Kazak	0.143071
Montenegrin	0.142597
"Sierra Leonean"	0.135842
Moldovan	0.135301
Estonian	0.135226
Ukrainian	0.131513
"Costa Rican"	0.131489
Slovakian	0.130137
Maltese	0.128557
"Turkish Cypriot"	0.127465
"Greek Cypriot"	0.124908
Armenian	0.116286
"Organisation of African Unity"	0.11324
Ukranian	0.113126
Sandinista	0.111084
"Afghan Taliban"	0.11036
Turkish	0.106967
occupying	0.106947
Muslim-Croat	0.102583
"North Korean"	0.101669
"South Korean"	0.10046
Kuomintang	0.100088
Lithuanian	0.0996425
Finnish	0.0967513
"Bosnian Serb"	0.0950891
Philippine	0.0948684
U.S.-led	0.0938178
"Russian Interior Ministry"	0.0934324
NATO-led	0.0925878
"U. N."	0.0894403
Chechen	0.0889817
"North Vietnamese"	0.0880932
"Kosovar Albanian"	0.0878388
"Bosnian Croat"	0.0868173
"Saudi Arabian"	0.0866091
Hutu	0.0853782
dovish	0.0850601
Icelandic	0.0846532
ragtag	0.0839019
pro-western	0.0835965
hardline	0.0833096
royalist	0.0822397
"U.S. Soccer Federation"	0.0819881
Lao	0.0812269
PNG	0.0811147
pro-Islamic	0.0805859
UPDF	0.0803369
Taleban	0.0802057
Kosovar	0.0792014
Okinawan	0.0788992
slain	0.078892
UML	0.078873
Portuguese	0.0778162
"D.R Congo"	0.0772536
leone	0.0767101
"regular army"	0.0753504
Swedish	0.0748627
"Lower Saxony"	0.0747477
"the US"	0.0743603
Kiribati	0.0738915
"roughly @,@@@"	0.0732265
non-Jewish	0.0731848
ex-communist	0.0730262
Korean	0.0730252
"Trade and Industry"	0.0726862
"Two hundred"	0.0719326
Cameroun	0.071863
IMS	0.0717484
Gurkha	0.0702158
Somaliland	0.0679997
"Israeli Arab"	0.0659879
Kashmiri	0.0658447
Lesotho	0.0658236
"Yugoslav Army"	0.0656633
Croat	0.0655234
SFOR	0.0654186
MMD	0.0652786
CPAFFC	0.0645102
"Around @@@"	0.063939
"up to @,@@@"	0.0638863
Danish	0.06384
INTERFET	0.0636364
Thirty-six	0.0631361
Tadzhikistan	0.0627963
Malawian	0.0622915
"almost @,@@@"	0.0622125
"another four"	0.0619945
Rawabdeh	0.0617918
Guinean	0.0615607
"roughly @@,@@@"	0.0611156
basij	0.0607804
Thirty-five	0.060754
Hmong	0.060037
"European Union's"	0.0599198
"home rule"	0.0595529
"more than four million"	0.0595185
"Fort Hood"	0.0595101
BSF	0.059357
sworn-in	0.0592824
"about @@@ to @@@"	0.0592331
Ibo	0.0589845
Afrikaans	0.0585672
Guinea-Bissau	0.0583265
"ten thousand"	0.0581629
"up to @@,@@@"	0.0580891
"nearly one million"	0.0580166
"another nine"	0.0579842
Surinam	0.0579709
"civil defense"	0.0576186
CAA	0.0575784
ROK	0.0574665
non-Muslim	0.0574556
"almost @@@"	0.0573874
"Northern Alliance"	0.0572525
PSE	0.0569832
IFOR	0.0569112
"Western European"	0.0564398
Hesse	0.0563977
Banyamulenge	0.0562738
"about eight"	0.056
Kelantan	0.0557645
Tutsi	0.0557183
SDPC	0.0554841
"East German"	0.0553879
"West African"	0.0552401
"Chinese Olympic"	0.0551919
U.S	0.0548463
"New Democracy"	0.0547834
infidel	0.0547487
OCA	0.0545931
"Social Democratic"	0.0545388
Thirty-eight	0.0543271
JAL	0.0542321
CNOOC	0.0539733
C-USA	0.0539462
Welsh	0.0539279
Forty-five	0.0536314
"Kosovo Albanian"	0.0533859
CASS	0.0533089
"British Foreign Office"	0.0532383
RRA	0.0531377
"other seven"	0.0530824
"up to @@@,@@@"	0.0530363
Comoros	0.05302
"Over one million"	0.0528843
EBRD	0.0528492
"two first"	0.0527866
"almost @ million"	0.0526702
"Central American"	0.0526048
Scottish	0.0525934
Eighteen	0.0523072
Qing	0.0523043
"close to @,@@@"	0.0522373
Saskatchewan	0.0522355
Comelec	0.0520771
"about four"	0.0520711
"almost @@,@@@"	0.0520547
"Southern Baptist"	0.0520048
Thirty-three	0.0519828
"another @@,@@@"	0.0517517
NDP	0.051628
Catalan	0.0514435
Thirty-nine	0.0513675
SDB	0.0512671
ITTF	0.0512419
Benin	0.0511271
sub-regional	0.0508947
IRGC	0.0506181
"Other @@"	0.0505825
Fifteen	0.0505252
Korean-American	0.050096
RCD	0.050041
USTA	0.0499748
"South Asian"	0.0499581
CSE	0.0499257
"other nine"	0.049776
"U.S. Immigration and Naturalization Service"	0.049687
SCLC	0.0496494
))
(CAMILLA (desc 2137.02) (sims
"Parker Bowles"	0.162405
Hakeem	0.108474
Americus	0.100574
Kismayu	0.100243
Hillsboro	0.0888534
Ensenada	0.0879462
Thomasville	0.0807066
Kenyon	0.079835
Kalemie	0.0795721
Norcross	0.079169
Duluth	0.0786256
Ashkelon	0.078522
Riverdale	0.0780318
Alpharetta	0.0744623
Cacak	0.0742667
Larnaca	0.0742557
Urosevac	0.0741323
Weimar	0.0737325
Kismaio	0.0736443
Beersheba	0.0718842
Pelham	0.0716657
"Gwinnett County"	0.07023
Klina	0.0697143
Brunswick	0.0695018
Xenia	0.0693713
Wildwood	0.0691089
Uvira	0.0681934
LaGrange	0.0677848
Garry	0.067443
Valerie	0.0674252
Juba	0.0659125
Mitrovica	0.0657724
Carrollton	0.0656996
Kizlyar	0.065693
Chamonix	0.0654055
Merca	0.065238
Diane	0.0650632
Mankulam	0.0650297
Suwanee	0.0647665
Matadi	0.0642719
Baidoa	0.06423
Prizren	0.0631965
"Fulton County"	0.0626254
"Sandy Springs"	0.0626082
Lhokseumawe	0.0624063
Srbica	0.0621315
Gnjilane	0.061891
Scottie	0.0617532
McDonough	0.0615987
Ballymoney	0.0612553
Dundalk	0.061096
Shali	0.0609923
Vlore	0.060809
Jenin	0.0608007
Urus-Martan	0.0607701
cecil	0.0607318
Miguel	0.0601511
Edgar	0.0600505
Paranthan	0.0598485
Leskovac	0.0586417
Mayberry	0.0584538
"Suva Reka"	0.0583229
Lawrenceville	0.0582772
Decatur	0.058275
Karen	0.058154
Marjayoun	0.0581045
"Del Rio"	0.0579679
Dalton	0.0579341
Nabatiyeh	0.0576772
Makeni	0.0575522
Carthage	0.0573407
Fayetteville	0.0571967
"San Pedro Sula"	0.0569653
Limassol	0.0569466
Moshi	0.0567825
"Port Elizabeth"	0.0564155
Smyrna	0.0560057
Chamblee	0.0557805
"Cindy McCain"	0.0557083
Kraljevo	0.0552285
"DeKalb County"	0.0552082
Princeville	0.0551744
Dunwoody	0.055133
Bushehr	0.0550262
Golcuk	0.0549496
Kabwe	0.0549432
"Monroe County"	0.0547679
Stockbridge	0.054696
Zhangbei	0.0543137
"John Kennedy Jr."	0.0541816
"Camilla Parker Bowles"	0.0540535
Buford	0.0534793
Izmit	0.0531354
Livingstone	0.0530482
bandmates	0.0529664
Luca	0.0528982
Djakovica	0.0527327
Kilinochchi	0.0526183
"Fayette County"	0.0524207
"Stone Mountain"	0.0521525
"Rockdale County"	0.0520394
Sidney	0.0520214
Rowan	0.0519593
Bukavu	0.0517041
Baalbek	0.0516929
Kijevo	0.0514908
Kindu	0.0513166
Kuito	0.0511049
Salonika	0.0510676
Izmir	0.0510464
Nogales	0.0509978
"Banja Luka"	0.0508442
Nakuru	0.0505024
Malacca	0.0504732
Brcko	0.0504262
axelsson	0.0501707
"Prince of Wales"	0.0501177
ASHEVILLE	0.0499886
Sirte	0.0498464
Carmel	0.0498048
Manado	0.0498015
Hanover	0.0497088
Brenda	0.0496927
Montclair	0.0494674
Tachilek	0.0494249
Vukovar	0.0493382
Laredo	0.0493283
Poughkeepsie	0.0492868
Jalalabad	0.0489672
Vedeno	0.0488363
Pancevo	0.0488154
Bogor	0.0487823
Herat	0.0487682
Kailahun	0.048656
Kragujevac	0.0485756
Griffin	0.04857
Blackwell	0.0485667
Eschede	0.0485308
Atambua	0.0484314
Claude	0.0484219
NIS	0.0483612
Posoltega	0.0478888
DeKalb	0.047758
"Kosovska Mitrovica"	0.0477354
Jonesboro	0.0476812
Casas	0.0474664
Susanti	0.0473194
Ismailia	0.0472867
Ur	0.0471396
Pailin	0.047135
"West Palm Beach"	0.0470924
Hawke	0.046947
Rea	0.0468713
Pleasanton	0.0468382
Helena	0.0467843
Bengkulu	0.0466622
Chappaqua	0.0464926
Taloqan	0.0464006
Haicheng	0.0463546
Junik	0.0462294
Yekaterinburg	0.046148
Tuzla	0.0461322
Najaf	0.0460453
Mosul	0.0460175
Chatham	0.0459339
Kisumu	0.0453772
Whitehall	0.0452957
Montpelier	0.0452871
Decani	0.0451758
Vitoria	0.0451588
Charikar	0.0451259
Plata	0.0450957
Brian	0.0449826
Paphos	0.044978
Morelos	0.0449321
Orahovac	0.0448578
"Buena Vista"	0.0446222
Roswell	0.0445895
Walkerton	0.0445726
Lt	0.0442914
Charleroi	0.0442794
Hyderabad	0.04408
Sparta	0.0440145
Waterville	0.0437407
Aswan	0.0436646
Rahal	0.0435677
Ipswich	0.0435223
Alvin	0.043514
Zeng	0.0433859
"College Park"	0.0432597
Agnes	0.0431543
Basra	0.0431186
Malisevo	0.0430227
Jericho	0.043004
Tangshan	0.0429781
O'Hara	0.0429168
Jennifer	0.0428748
Irbil	0.0428537
Batticaloa	0.0427879
Tina	0.0427518
))
("Camilla Martin" (desc 3773.88) (sims
"Peter Gade Christensen"	0.385501
"Peter Rasmussen"	0.36677
"Gong Zhichao"	0.311955
"Ye Zhaoying"	0.309642
"Mia Audina"	0.300394
"Peter Nicol"	0.293063
"Joko Suprianto"	0.279328
"Dai Yun"	0.272746
"Ong Ewe Hock"	0.265165
"Gong Ruina"	0.264579
"Rodney Eyles"	0.257598
"Xia Xuanze"	0.256657
"Susi Susanti"	0.254521
"Heryanto Arbi"	0.254017
"Taufik Hidayat"	0.240977
"Kenneth Carlsen"	0.232594
"Poul-Erik Hoyer-Larsen"	0.232193
"Rashid Sidek"	0.232186
"Zhang Ning"	0.231594
"Dong Jiong"	0.230844
"Wang Chen"	0.223316
"Russian Yevgeny Kafelnikov"	0.222179
"Fung Permadi"	0.215644
"Budi Santoso"	0.210551
Hendrawan	0.210197
"American Pete Sampras"	0.204553
"Ji Xinpeng"	0.199157
"Wang Nan"	0.197425
"American Michael Chang"	0.195674
"Jansher Khan"	0.195233
"Michael Chang"	0.189413
"Arantxa Sanchez Vicario"	0.188612
"Felix Mantilla"	0.186624
"Conchita Martinez"	0.185454
"Magnus Norman"	0.18516
"Barbara Paulus"	0.184942
"Albert Portas"	0.184409
"Wilson Kipketer"	0.183931
"Thomas Muster"	0.180049
"Zoran Primorac"	0.179915
"Petr Korda"	0.176331
"Goran Ivanisevic"	0.175662
"Kong Linghui"	0.173286
"Kimiko Date"	0.173065
"Sergi Bruguera"	0.172671
"Chen Gang"	0.172484
"American Lindsay Davenport"	0.172187
"Thomas Enqvist"	0.17173
"Ge Fei"	0.171641
"Iva Majoli"	0.171363
"Judith Wiesner"	0.171162
"Jana Novotna"	0.171093
"Jorgen Persson"	0.171037
"Li Ju"	0.169936
"Simon Archer"	0.169854
"Mary Pierce"	0.168787
"Liu Guoliang"	0.168684
"Alberto Berasategui"	0.167994
"Nathalie Tauziat"	0.167877
"Brenda Schultz-McCarthy"	0.167838
"Li Fang"	0.167601
"Alex Corretja"	0.165283
"Yevgeny Kafelnikov"	0.165032
"Sabine Appelmans"	0.164618
"Arantxa Sanchez-Vicario"	0.164169
"Francisco Clavet"	0.163901
Susanti	0.163885
"Gustavo Kuerten"	0.162235
"Hernan Gumy"	0.161214
"Magnus Gustafsson"	0.161191
"Albert Costa"	0.160003
"Lindsay Davenport"	0.159812
"Monica Seles"	0.159683
"Anke Huber"	0.158885
"Carlos Moya"	0.158084
"Jean-Philippe Gatien"	0.157069
"Wayne Ferreira"	0.15697
"Magdalena Maleeva"	0.156427
"Liu Yong"	0.155996
"Marcelo Rios"	0.155319
Brondby	0.15511
"Carlos Costa"	0.154836
"Amy Frazier"	0.153615
"Rainer Schuttler"	0.153341
"Filip Dewulf"	0.152393
"Dominique Van Roost"	0.149818
"Renzo Furlan"	0.149152
"Greg Rusedski"	0.148393
"Pat Rafter"	0.148357
"Jonas Bjorkman"	0.14782
"Richard Fromberg"	0.147226
"Marc Rosset"	0.146353
"Jan-Ove Waldner"	0.146015
"Anne Kremer"	0.145989
Kafelnikov	0.145392
"Nathalie Dechy"	0.145149
"Naoko Sawamatsu"	0.145147
"Mariano Puerta"	0.144957
"Jacco Eltingh"	0.144785
"Andre Agassi"	0.144728
"Franco Squillari"	0.144483
"Patrick Rafter"	0.144401
"Julie Halard-Decugis"	0.143882
"Vladimir Samsonov"	0.143046
"Sarah Pitkowski"	0.142978
"Tim Henman"	0.142467
"Bjarne Riis"	0.142451
"Boris Becker"	0.142162
"Mariano Zabaleta"	0.140726
"Richard Krajicek"	0.140431
"Jason Stoltenberg"	0.140404
"Yang Ying"	0.139972
"Byron Black"	0.139614
"Tamarine Tanasugarn"	0.139161
"Martina Hingis"	0.138858
"Yayuk Basuki"	0.138776
"Sandrine Testud"	0.136913
"Silvia Farina"	0.136446
"Paul Johnson"	0.136075
"Thomas Johansson"	0.13566
"Briton Greg Rusedski"	0.134668
"Wang Liqin"	0.133935
"Arnaud Boetsch"	0.133642
"Henrieta Nagyova"	0.133477
"Fabrice Santoro"	0.133405
Dosedel	0.132432
"Ai Sugiyama"	0.132301
"Steffi Graf"	0.132177
"Roger Federer"	0.131561
"Younes El Aynaoui"	0.130083
"MaliVai Washington"	0.130079
"Andrea Gaudenzi"	0.129128
"Amanda Coetzer"	0.128492
"Jim Courier"	0.127887
"Thomas Bjorn"	0.127127
"Stefan Edberg"	0.126559
"Chen Jing"	0.126479
"Deng Yaping"	0.125743
"American Chanda Rubin"	0.125448
Siemerink	0.125168
"Paul Tergat"	0.124817
"Maria Butyrskaya"	0.124671
"Arnaud Di Pasquale"	0.124462
"Karim Alami"	0.12436
"Andrei Pavel"	0.123514
"Alberto Costa"	0.123428
"Christian Ruud"	0.123035
"Leander Paes"	0.12292
"Todd Woodbridge"	0.122132
"Svetlana Khorkina"	0.122121
"American Andre Agassi"	0.121929
"Karol Kucera"	0.121557
"Jennifer Capriati"	0.121301
"Garry Kasparov"	0.121294
"Asa Carlsson"	0.120662
"Sjeng Schalken"	0.120336
Sanchez-Vicario	0.120206
"Michael Stich"	0.120202
"Chen Lu"	0.119964
"Pete Sampras"	0.119581
"Irina Spirlea"	0.119483
"Qin Yiyuan"	0.118887
"Patty Schnyder"	0.118453
"Jeff Tarango"	0.118339
"Todd Martin"	0.117949
Halard-Decugis	0.117127
"Alexei Yagudin"	0.117029
"Venus Williams"	0.116797
"Serena Williams"	0.116031
"Chanda Rubin"	0.115598
"Brett Steven"	0.114978
"Jerome Golmard"	0.114913
"Natasha Zvereva"	0.114904
"David Prinosil"	0.114161
"Nicolas Kiefer"	0.113897
"Elena Likhovtseva"	0.113673
"Mark Philippoussis"	0.113612
"Paola Suarez"	0.113272
"Marat Safin"	0.113162
"Ruxandra Dragomir"	0.11283
"Paul Haarhuis"	0.112823
"Deon Hemmings"	0.112762
"Nicolas Lapentti"	0.112255
"Adrian Voinea"	0.11223
"Andrei Medvedev"	0.112195
"Lisa Raymond"	0.111895
"Kinder Bologna"	0.110902
"South African Amanda Coetzer"	0.110887
Clavet	0.110837
"Sargis Sargsian"	0.110836
"Florencia Labat"	0.110267
Edberg	0.10995
Waldner	0.1096
"Weber State"	0.109311
"Svetlana Masterkova"	0.109229
"Bohdan Ulihrach"	0.109003
"Buster Douglas"	0.108859
Rosset	0.108521
"Partizan Belgrade"	0.108504
"Irina Slutskaya"	0.107895
"Marcos Ondruska"	0.107601
"Cara Black"	0.107563
"Tatiana Panova"	0.107326
"American Todd Martin"	0.10724
"Scarlet Knights"	0.107159
Stoltenberg	0.106971
"Nicolas Escude"	0.106939
Moya	0.106923
"Tommy Haas"	0.106815
"Amelie Mauresmo"	0.106797
"Mark Woodforde"	0.105874
"Jonathan Stark"	0.105609
"Alex O'Brien"	0.105504
"Sanchez Vicario"	0.104972
Bruguera	0.104447
Davenport	0.104254
"Magui Serna"	0.104247
"Ma Lin"	0.104074
"Richey Reneberg"	0.104007
Krajicek	0.103959
"Arnaud Clement"	0.10357
"Mahesh Bhupathi"	0.103322
Corretja	0.102771
"Wang Tao"	0.102261
"Cedric Pioline"	0.10226
"Javier Sanchez"	0.102094
"Chris Woodruff"	0.102022
"Johan Museeuw"	0.101962
"Hicham Arazi"	0.101955
"Joannette Kruger"	0.101923
"Catalina Cristea"	0.101801
Kuerten	0.101434
"Shanghai Shenhua"	0.101003
Henman	0.100877
Bjorkman	0.100608
"Barbara Schett"	0.100603
"Elena Berezhnaya"	0.100395
))
("Camilla Parker Bowles" (desc 1753.55) (sims
"Parker Bowles"	0.152216
"Graca Machel"	0.146992
"Linda Jones"	0.14569
"Callista Bisek"	0.138658
"Sally Hemings"	0.131435
"Dodi Fayed"	0.125485
"Dora Maar"	0.106502
"Princess Margaret"	0.0906972
"Funcinpec Party"	0.0817025
pauper	0.0770987
"Gennifer Flowers"	0.0752814
consort	0.0752285
"Princess Anne"	0.0751517
"Sarah Ferguson"	0.0727679
"Abdul Karim Kabariti"	0.0681193
"Wim Kok"	0.0660204
"Abdul Salam Majali"	0.0651633
"Prince Saud Al-Faisal"	0.0604225
Azizah	0.0591226
Majali	0.0581897
"Valery Pustovoitenko"	0.0566514
"Cambodian King Norodom Sihanouk"	0.05556
Hines	0.0554748
fiancee	0.0551337
"Eileen Collins"	0.0548442
"Fayez Tarawneh"	0.0544947
CAMILLA	0.0540535
"Jenny Shipley"	0.0530302
cellmate	0.0529504
"Hugh Grant"	0.051446
bandmates	0.0511893
Sonia	0.0506576
"Paavo Lipponen"	0.0504504
Al-Faisal	0.0497105
"Robin Cook"	0.0496011
Pangalos	0.0481372
bride-to-be	0.0475152
"Ismail Cem"	0.0464071
"foster mother"	0.0457115
"Kamal Kharrazi"	0.0456506
"King Abdullah II"	0.0455573
"Bertie Ahern"	0.0451676
"Rafik Hariri"	0.0450761
"Radu Vasile"	0.0450624
Hakeem	0.0446842
"King Hassan II"	0.0445293
ISABEL	0.0438643
Brenda	0.0435586
"Jacqueline Kennedy"	0.0430437
"Girija Prasad Koirala"	0.0423898
"Monica S. Lewinsky"	0.042065
Boueiz	0.0413209
"Stephen Hawking"	0.0410966
"Phan Van Khai"	0.0410205
Ahtisaari	0.0409951
"Jordanian King Abdullah Bin Hussein"	0.0409156
"Suleyman Demirel"	0.040694
"Mikhail Gorbachev"	0.0405759
"Vo Van Kiet"	0.040553
Terri	0.0402525
Margaret	0.0401021
))
(Camille (desc 1964.86) (sims
Kristin	0.145806
Vicki	0.144849
alicia	0.138934
Lynne	0.134043
"Azizah Ismail"	0.132845
Phyllis	0.123638
Irina	0.122977
Eileen	0.121096
Evelyn	0.120248
Theresa	0.116418
Doris	0.115886
Beverly	0.114727
Monique	0.113985
Kathleen	0.112867
Esther	0.112458
Cheryl	0.112258
Josephine	0.111929
Marlene	0.111274
Valerie	0.110998
Tracey	0.110352
Juanita	0.109146
Stephanie	0.107308
Cherie	0.106686
Debra	0.10604
Marta	0.105348
Patricia	0.104803
Maureen	0.104369
Brenda	0.104357
Olga	0.103303
Pam	0.102964
Pauline	0.102504
Audrey	0.102424
JoAnne	0.101674
Hadassah	0.101617
Elena	0.101497
Jacqueline	0.10092
Marian	0.100723
Olivia	0.100716
"Carolyn Bessette Kennedy"	0.0995732
Suzanne	0.0995655
Diane	0.0994373
Miriam	0.0979602
Elaine	0.0976797
Cindy	0.097517
Catherine	0.096657
Lori	0.0963013
Sheryl	0.0952969
Polly	0.0948027
Connie	0.0943644
Jill	0.0930474
Alexandra	0.0924621
Dolores	0.0921723
Caroline	0.0919027
Debbie	0.0915732
Cathy	0.0913954
Patti	0.0902333
Stacy	0.0901606
"Wang Yeping"	0.0900744
Janet	0.0899035
Lydia	0.0898949
Emily	0.089631
Leah	0.0895173
Susan	0.0895059
Lucy	0.0893311
Linda	0.0892562
Andrea	0.0883376
Betsy	0.0882785
Helen	0.0881675
Kimberly	0.0879546
Michele	0.0876963
Dorothy	0.0875499
Katherine	0.087489
Sarah	0.0869931
becky	0.0867857
Carolyn	0.0861071
Michelle	0.085988
Marianne	0.0859429
Terri	0.0859305
Sonia	0.085743
colleen	0.0853353
Kathy	0.0849198
Melanie	0.0848926
Lucia	0.0848772
Lorraine	0.0845046
Eleanor	0.0843293
Sylvia	0.084192
Edith	0.0831924
Meg	0.0827622
Marilyn	0.0826427
anna	0.0826156
Fran	0.0825317
Liz	0.082426
Peggy	0.0822875
Erica	0.0822257
Maria	0.0821136
Claudia	0.0820829
Thelma	0.0813628
Christine	0.0812273
Annie	0.0810752
Barbara	0.0808211
Nora	0.080539
"Karenna Gore Schiff"	0.0804424
Annette	0.0804217
Danielle	0.0802582
Deborah	0.0798398
Hadley	0.0795299
Margaret	0.0794726
Beth	0.0794398
heather	0.0790203
Lisa	0.0789096
Rita	0.0788583
Sara	0.0786092
"Leigh Ann"	0.078605
Nina	0.0785576
Amy	0.078461
gloria	0.0783724
Jeanne	0.0781557
Julie	0.0780378
Denise	0.0780265
Naomi	0.0776994
Beatrice	0.0776072
Vera	0.077353
Angela	0.0770878
Frances	0.0770861
Lois	0.0768633
Heidi	0.0765216
Donna	0.0764965
Alison	0.0760998
Teresa	0.0757794
Brooke	0.0754301
Sophie	0.0753721
Anita	0.0751662
Millie	0.0750842
Marcia	0.0749836
ANN	0.0749228
"Carmen Electra"	0.0745206
Ida	0.0743871
Renee	0.0739957
Dana	0.0735341
Julia	0.0734929
Marie	0.0734625
Kay	0.0731011
Rebecca	0.0726254
Tina	0.0726238
Agnes	0.0725394
Paulina	0.0724021
Ashley	0.0722759
Anne	0.0722373
"Jane Fonda"	0.0721826
Helene	0.0720479
Colette	0.0718311
Megan	0.07174
Laurie	0.0715924
Nancy	0.071126
Jennifer	0.0706323
hazel	0.0703375
Yarmila	0.0702901
Jessica	0.0701195
Karen	0.0697036
Tammy	0.0696393
Carol	0.0695454
Norma	0.0692123
Karenna	0.0691512
stepchildren	0.0689639
Tipper	0.0686094
Kathryn	0.0683682
Bonnie	0.0683269
Judy	0.067913
Irene	0.0678194
Lucille	0.0675823
Laura	0.067328
Sally	0.0671369
Mona	0.0671001
Robin	0.0670167
Winnie	0.0666249
Alice	0.0665908
Toni	0.0664502
Betty	0.0664359
Lynn	0.0661194
Rachel	0.0648814
Melissa	0.0648039
Bianca	0.0646026
Dora	0.0645358
Carla	0.064352
Marisleysis	0.064212
Rhonda	0.0641033
Madeleine	0.0632553
"Patsy Ramsey"	0.0631942
"Graca Machel"	0.06299
Gail	0.0627945
Gina	0.0626398
Leigh	0.062631
Bertha	0.0625407
Shannon	0.0624864
Meredith	0.0624129
Emma	0.0624031
Darlene	0.0623521
Natalie	0.0623151
"Zhu Lin"	0.0621627
Melinda	0.0620786
))
(Caminiti (desc 6711.14) (sims
"Ken Caminiti"	0.256126
Bagwell	0.217813
Alou	0.213083
Hidalgo	0.192827
"Derek Bell"	0.179996
"Richard Hidalgo"	0.179087
"Jeff Bagwell"	0.174398
Biggio	0.1717
Rolen	0.163599
Hundley	0.162068
Leyritz	0.161776
Segui	0.161686
Cirillo	0.160408
Erstad	0.159277
Glaus	0.156594
Valentin	0.156477
Spiers	0.155627
Alomar	0.154908
"Craig Biggio"	0.154856
Palmeiro	0.154642
DeShields	0.152832
Baerga	0.152446
Renteria	0.151796
Castilla	0.15133
Garciaparra	0.150827
Zeile	0.149829
"Sean Berry"	0.148882
"Ricky Gutierrez"	0.147639
Lankford	0.147368
Ledee	0.146718
"Tony Eusebio"	0.146275
Karros	0.146004
Knoblauch	0.145693
Alfonzo	0.145061
Bordick	0.144753
Cedeno	0.143836
Grudzielanek	0.143514
Brosius	0.143377
Olerud	0.14304
Daubach	0.143033
Ordonez	0.141248
Dunston	0.14028
Burnitz	0.14001
Burks	0.139551
Veras	0.139306
Bonilla	0.139068
Lofton	0.139016
Vidro	0.138057
Womack	0.137609
Elster	0.137426
Galarraga	0.137362
Gwynn	0.137221
"Jay Bell"	0.136677
Fullmer	0.136621
Gant	0.135982
Surhoff	0.135729
"Moises Alou"	0.134935
Lieberthal	0.134887
Canseco	0.134806
"Greg Vaughn"	0.133831
DiSarcina	0.13374
Vaughn	0.13277
Batista	0.131751
"Brad Ausmus"	0.131614
"Troy Glaus"	0.131548
Klesko	0.131006
Ripken	0.130738
"Lance Berkman"	0.130621
Abreu	0.12934
Huskey	0.129318
Beltran	0.129309
"Bill Spiers"	0.129288
Alicea	0.129286
Piazza	0.12869
Varitek	0.128343
"Eric Karros"	0.128269
Beltre	0.128167
"Scott Rolen"	0.127082
Higginson	0.127017
"Mark Loretta"	0.126492
Fryman	0.126326
Ramirez	0.126211
"Travis Lee"	0.12618
"Gary Sheffield"	0.126086
"Tony Gwynn"	0.125261
"Matt Williams"	0.125255
Velarde	0.125237
Cabrera	0.125066
"Scott Brosius"	0.12446
McRae	0.124139
Meares	0.12318
"Adrian Beltre"	0.122039
"Tim Bogar"	0.121904
"Carl Everett"	0.121686
"Jose Offerman"	0.12141
Catalanotto	0.120716
"Devon White"	0.120167
Aurilia	0.119707
Agbayani	0.119498
Larkin	0.118597
Everett	0.117887
"John Valentin"	0.117862
Hollandsworth	0.117838
Nevin	0.117735
Helton	0.117602
Offerman	0.117503
"Dante Bichette"	0.117438
Ausmus	0.117413
"Tim Salmon"	0.117243
"Jason Giambi"	0.117155
"Luis Gonzalez"	0.116856
"J.T Snow"	0.116324
Jeter	0.11625
Sexson	0.116108
"Chipper Jones"	0.115854
"Quilvio Veras"	0.115442
Tatis	0.114531
Brogna	0.114498
"Paul Bako"	0.114191
Hatteberg	0.113933
"Scott Spiezio"	0.113858
"Todd Hundley"	0.113635
Guillen	0.113388
Delgado	0.112918
"Chris Gomez"	0.112871
"Paul Konerko"	0.112434
"Kevin Young"	0.112326
Giambi	0.111986
McLemore	0.111973
"Robin Ventura"	0.111728
Andreychuk	0.111619
"Dean Palmer"	0.111467
grieve	0.111021
Vizquel	0.110941
"Phil Nevin"	0.110892
Bichette	0.1106
"Reggie Sanders"	0.110342
Hollins	0.110312
"John Olerud"	0.110206
Mondesi	0.110141
"Andres Galarraga"	0.109765
Gonzalez	0.109539
Buford	0.109297
Laudrup	0.108517
"Bobby Higginson"	0.108105
"Brian Giles"	0.108019
Cordero	0.107858
"Mitch Meluskey"	0.107838
Thome	0.107781
McGriff	0.10776
Konerko	0.10745
"Edgardo Alfonzo"	0.107237
"Bobby Abreu"	0.106417
"John Vander Wal"	0.106343
Boone	0.10631
"Mark Kotsay"	0.106232
"Todd Zeile"	0.106118
"Richie Sexson"	0.106099
"Travis Fryman"	0.106033
Finley	0.105985
"Bill Mueller"	0.105895
"Eric Owens"	0.105833
"Jim Edmonds"	0.105776
Cora	0.105507
Merloni	0.105325
"Mike Piazza"	0.105039
Buhner	0.104647
"Bernie Williams"	0.104522
Bautista	0.103924
"Preston Wilson"	0.103897
Stinnett	0.103615
"Wally Joyner"	0.103561
Burrell	0.103532
Griffey	0.103369
"Mark Grace"	0.103266
JOYNER	0.103181
Valdes	0.103014
Frye	0.102626
"Rickey Henderson"	0.102622
"Kirk Gibson"	0.10242
"Jim Thome"	0.102344
"Juan Gonzalez"	0.102228
"Henry Rodriguez"	0.102217
"Jose Hernandez"	0.10159
"Russ Davis"	0.101219
"Cristian Guzman"	0.101065
"Vladimir Guerrero"	0.100938
"Darin Erstad"	0.100828
"Rondell White"	0.100705
"Damian Jackson"	0.100564
Schourek	0.100357
Edmonds	0.100165
"Damian Miller"	0.100101
"Andruw Jones"	0.0995862
Sheffield	0.0995808
Bergeron	0.0994646
"Steve Finley"	0.099328
"Ruben Rivera"	0.0991445
"Tony Clark"	0.0989678
"Trot Nixon"	0.0989494
))
(camisole (desc 3264.95) (sims
pullover	0.252034
tunic	0.211096
halter	0.210007
cardigan	0.206875
"evening gown"	0.188856
blouse	0.188199
skirt	0.184495
"hot pants"	0.181667
"evening dress"	0.174758
bodice	0.174692
bikini	0.168543
turtleneck	0.166182
sweater	0.155614
sheath	0.154773
shawl	0.153561
"cocktail dress"	0.152575
bra	0.146711
scarf	0.144731
trouser	0.143962
chiffon	0.141618
trousers	0.140575
miniskirts	0.139888
Pantsuits	0.139863
capris	0.138289
anorak	0.136214
Poncho	0.135605
bustier	0.135475
"polo shirt"	0.135098
sweatshirt	0.132619
parka	0.132263
petticoat	0.131838
pant	0.13167
raincoat	0.131179
jacket	0.129631
"bathing suit"	0.129583
"leather jacket"	0.128937
"pants suit"	0.128087
gown	0.127519
"ball gown"	0.12455
vest	0.121421
sarong	0.121354
overcoat	0.121198
shirt	0.119367
nightgown	0.119055
choker	0.116821
pajama	0.116695
pants	0.115442
corset	0.113966
jean	0.113388
jumpsuit	0.112891
"evening bag"	0.111004
legging	0.109813
coat	0.107181
sandal	0.104589
T-shirt	0.103832
organza	0.102587
"sport shirt"	0.102011
tights	0.101563
satin	0.10105
Thong	0.100041
handbag	0.0999954
headband	0.0994723
bellbottoms	0.0983886
slack	0.098039
shorts	0.0978478
pantsuit	0.0962202
barrette	0.0955996
khaki	0.0955961
loafer	0.0952784
slacks	0.0950203
Bonnet	0.0937943
"feather boa"	0.0934831
panty	0.0932478
velvet	0.0930628
sock	0.0921008
moccasin	0.0917866
brassiere	0.0915243
mohair	0.0912069
miniskirt	0.090792
"baseball cap"	0.0906962
tulle	0.0905166
underwear	0.0889852
"nail polish"	0.0886024
sneaker	0.086773
"fur coat"	0.0867153
cashmere	0.0866712
robe	0.0859523
bedspread	0.0847322
sleeve	0.0844208
embroidery	0.0843801
spandex	0.0837775
corduroy	0.0835884
swimsuit	0.0834566
hosiery	0.083317
windbreaker	0.0812452
"dress shirt"	0.0803016
taffeta	0.0799043
silk	0.0794489
fedora	0.0787763
kilt	0.0786044
"bow tie"	0.0783806
Chino	0.0780552
stocking	0.0779668
neckline	0.0771573
pantyhose	0.0770378
"place mat"	0.0770146
beret	0.0767
"stiletto heel"	0.0763845
undershirt	0.0757352
bodysuit	0.0756562
loincloth	0.0754376
lingerie	0.074074
kimono	0.0728031
apron	0.0727606
"tennis shoe"	0.0721433
turban	0.0720709
tuxedo	0.0717906
wig	0.071768
plaid	0.0712532
leotards	0.0712125
"sweat pants"	0.0710542
stole	0.0708682
bluejeans	0.0707893
"trench coat"	0.0697555
DKNY	0.0693321
lipstick	0.0691882
caftan	0.0690207
cutoffs	0.0689429
Sari	0.0688636
stiletto	0.0688318
mule	0.0678791
clingy	0.0678677
lattice	0.0678
waistcoat	0.067644
tux	0.0670543
"cowboy boot"	0.0669025
leather	0.0667855
necktie	0.0664252
suspender	0.0664028
frock	0.0650924
tweed	0.0647983
"straw hat"	0.0647564
outerwear	0.0646102
collar	0.0645565
slipper	0.064437
crepe	0.0642871
linen	0.0639212
brocade	0.0635653
handkerchief	0.0630713
"wedding gown"	0.0630422
suede	0.0630136
slinky	0.0622048
underpants	0.0618232
sportswear	0.061686
bloomers	0.061087
"running shoe"	0.0609136
pashmina	0.0607661
sequin	0.0607465
"top hat"	0.0606589
"blue jean"	0.0606441
gauze	0.0604122
hemline	0.0603702
denim	0.0595721
ruffle	0.0595393
blazer	0.0594406
tiara	0.0589001
"business suit"	0.0586261
Tutu	0.0586072
Sash	0.0583845
knickers	0.058325
smock	0.0582244
sunglasses	0.0582082
nylon	0.0581029
mitten	0.0581012
bracelet	0.0578396
pigtail	0.0578137
Formica	0.0574224
bolero	0.0568964
earring	0.0566053
curtain	0.0558456
bathrobe	0.054831
"tissue paper"	0.0547394
"cowboy hat"	0.0543804
"Dolce &AMP; Gabbana"	0.0543404
fleece	0.0530956
"sports jacket"	0.052913
teddy	0.0523632
"felt hat"	0.0522839
"polka dot"	0.0521976
lavender	0.0519091
Cape	0.051223
flannel	0.0511194
Daisy	0.0510711
BOA	0.0506784
bandana	0.0505216
pasty	0.049987
"mink coat"	0.0485736
lining	0.0481072
flats	0.0474132
"coffee mug"	0.0472877
))
(camouflage (desc 9948.83) (sims
"olive green"	0.14839
plaid	0.115304
denim	0.111166
pajama	0.110954
"navy blue"	0.109673
tuxedo	0.103653
"bulletproof vest"	0.103077
"powder blue"	0.102537
jumpsuit	0.101802
nylon	0.101589
"military uniform"	0.101219
"blue jean"	0.0991383
"dark blue"	0.0982403
Fubu	0.0968871
khaki	0.0955447
flannel	0.0935371
"leather jacket"	0.0918581
scuba	0.0907974
spandex	0.0904412
uniform	0.0904079
tunic	0.0898415
fatigue	0.0895982
"trench coat"	0.0894763
"dark glasses"	0.0884698
tweed	0.088079
suede	0.087955
goggles	0.0875612
"business suit"	0.0874598
silk	0.0858754
leather	0.0855763
regalia	0.0836746
"polo shirt"	0.0829919
jean	0.082401
beret	0.0816579
wig	0.0815596
jacket	0.0815344
sweatshirt	0.0806305
garb	0.0805958
linen	0.0803678
tartan	0.0798256
"cowboy hat"	0.0792407
sweater	0.0790263
"black tie"	0.0789154
snorkel	0.0780083
headdress	0.0779501
"street clothes"	0.0778854
mask	0.07778
polyester	0.0774215
kimono	0.0772461
boot	0.0771185
shirt	0.0765923
helmet	0.0763983
tights	0.0756738
coat	0.0751923
blackface	0.0751123
"ski mask"	0.0749024
bathrobe	0.0742081
pant	0.0738599
raincoat	0.0731688
vest	0.0731188
bandana	0.0729912
wool	0.0729073
robe	0.0723711
"wedding gown"	0.0723082
T-shirt	0.0722944
cloth	0.0721987
turtleneck	0.0721212
"life jacket"	0.0721078
attire	0.0718465
Armani	0.071402
slack	0.0702457
jersey	0.0695957
Chino	0.0691842
coverall	0.0690281
Sari	0.0688187
fedora	0.0686832
finery	0.0683229
gingham	0.0682915
"body armor"	0.0681633
drawstring	0.0673577
hat	0.0669194
smock	0.0667281
"dress uniform"	0.066646
costume	0.0661026
plainclothes	0.0658584
"polka dot"	0.0641596
"hot pants"	0.0639028
docker	0.0637774
"bathing suit"	0.0634932
taupe	0.0633679
"bowler hat"	0.0633511
rayon	0.0633476
Lycra	0.0632657
scarf	0.0629334
clingy	0.0628445
"cowboy boot"	0.0621948
"rubber boot"	0.0619139
purple	0.0619056
apron	0.0618799
skirt	0.0616288
"hard hat"	0.0615608
trouser	0.0611295
"combat boot"	0.0610591
underwear	0.0609399
lace	0.0608169
overcoat	0.0605944
gown	0.0603899
taffeta	0.0602188
"top hat"	0.0601869
fur	0.0591347
"baseball cap"	0.0588088
spacesuit	0.058714
fatigues	0.058101
armor	0.0575954
Clothing	0.0575846
cloak	0.0571494
"feather boa"	0.0569749
COUTURE	0.0569229
loincloth	0.0568797
"Brooks Brothers"	0.0568691
Pink	0.0568295
miniskirts	0.056805
"face mask"	0.056671
sunglasses	0.0565751
bandanna	0.0565295
shoe	0.0562713
bikini	0.0560228
spiffy	0.0559582
pinstripes	0.0558532
velvet	0.0556882
parka	0.0553829
"light brown"	0.0548046
knickers	0.0540993
tux	0.0538863
"shoulder pad"	0.0538777
"life vest"	0.0538526
"high fashion"	0.0538123
blouse	0.0535473
sock	0.0535454
legging	0.053244
mesh	0.0531345
glove	0.0531214
"fig leaf"	0.0530619
preppy	0.0529499
pullover	0.0528704
headgear	0.052747
trademark	0.0525962
"cocktail dress"	0.0525506
"straw hat"	0.0525151
sneaker	0.0520196
Cape	0.0517274
biker	0.0516848
pantsuit	0.0516225
snowboard	0.0515669
fleece	0.0510731
safari	0.0510672
"name tag"	0.0507226
worn	0.0506875
python	0.050323
corduroy	0.0502742
warm-up	0.0501874
getup	0.0501784
"black and white"	0.0498862
"bow tie"	0.0498155
"royal blue"	0.0495475
kilt	0.0493743
swimsuit	0.0491906
cashmere	0.0486605
fabric	0.0483815
lingerie	0.0482676
turban	0.0481355
bra	0.0480821
sandal	0.047963
parachute	0.0477272
headband	0.0472417
Teflon	0.0470277
armband	0.0469179
patchwork	0.0468686
pajamas	0.0468438
neon	0.046755
"haute couture"	0.0466893
NIKE	0.0466722
cotton	0.0465482
pants	0.0464107
necktie	0.046358
fishnet	0.0461763
"evening gown"	0.0461258
handkerchief	0.0459749
veil	0.0459163
stripe	0.0459128
wrangler	0.0458781
"fur coat"	0.0458727
visor	0.0456389
blazer	0.045631
mohair	0.0456038
sportswear	0.0455403
cleat	0.0450577
ninja	0.0446426
seatbelt	0.0443961
prosthesis	0.0443926
))
(camp (desc 220388) (sims
village	0.147564
"concentration camp"	0.134791
town	0.128353
"spring training"	0.125424
prison	0.120566
base	0.119446
hospital	0.118334
school	0.113808
home	0.113565
facility	0.113234
shelter	0.111556
center	0.110852
area	0.11069
house	0.110376
jail	0.1081
office	0.107195
hotel	0.105918
workout	0.104699
headquarter	0.103506
city	0.101983
hideout	0.101121
"prison camp"	0.100292
stronghold	0.100256
barrack	0.10012
clinic	0.0995864
airport	0.09895
site	0.097662
building	0.0962528
embassy	0.0961297
complex	0.0957794
park	0.0951734
practice	0.094993
compound	0.0937925
game	0.0937594
church	0.0935478
party	0.0917489
residence	0.0915522
checkpoint	0.0903771
factory	0.0903392
group	0.0900548
outpost	0.0880081
neighborhood	0.0879804
community	0.0875607
minicamp	0.0856335
zone	0.0856232
district	0.085124
encampment	0.0850756
resort	0.0850615
station	0.0840827
region	0.0840468
apartment	0.083543
field	0.0834649
place	0.0833879
"police station"	0.0831399
province	0.0831265
room	0.0829553
training	0.0824656
farm	0.0819568
plant	0.0816129
clubhouse	0.0813928
meeting	0.0811795
"locker room"	0.0809887
season	0.0807589
country	0.0806606
orphanage	0.0806274
position	0.0800835
organization	0.080055
tournament	0.0798131
territory	0.0797353
Kosovo	0.0795439
stadium	0.0794957
"summer camp"	0.0789525
force	0.0784957
rebel	0.0781724
"White House"	0.0781044
capital	0.0779798
campaign	0.0779131
troop	0.0775968
"army base"	0.0775945
gym	0.0774373
refugee	0.0773823
Rally	0.0773061
restaurant	0.0772132
College	0.0770229
Auschwitz	0.0767731
museum	0.076705
Warehouse	0.0767043
depot	0.0764815
event	0.0764294
shop	0.0760652
store	0.075984
operation	0.0754633
army	0.0749009
Monastery	0.0741365
tent	0.0740112
"high school"	0.0739581
conference	0.0739225
Albania	0.0737842
club	0.0736272
class	0.0733227
government	0.0732909
unit	0.0732823
Israel	0.0726974
session	0.0724075
team	0.0722714
cemetery	0.0722601
palace	0.0722479
program	0.0719565
festival	0.0719538
work	0.0719295
classroom	0.0718345
island	0.0717093
faction	0.0716502
enclave	0.071505
convention	0.0711337
mosque	0.0710262
life	0.0710004
"air base"	0.0708371
border	0.0707823
state	0.0705693
hall	0.070555
job	0.0702902
"polling station"	0.070289
cabin	0.070098
family	0.0699511
Grozny	0.0698911
port	0.0698474
Macedonia	0.0698404
people	0.0697338
dormitory	0.0695034
lineup	0.0694878
Ballpark	0.0694005
theater	0.0693973
bunker	0.0689352
settlement	0.0688669
campus	0.0688133
lab	0.0687569
race	0.0683367
library	0.0680375
sanctuary	0.0678974
trial	0.0677821
supporter	0.0675305
mountain	0.0674472
land	0.0673592
post	0.0673395
location	0.0672791
university	0.0672505
mine	0.067193
spot	0.0671633
arena	0.0670358
league	0.0669834
fighting	0.0665657
institution	0.0664444
match	0.0664195
guerrilla	0.0662942
activity	0.0662911
trip	0.0662094
tour	0.0661876
championship	0.0661507
convoy	0.0659991
ranch	0.0659935
business	0.0657707
situation	0.0657586
Kabul	0.0656307
"exhibition game"	0.0655676
show	0.0655327
"parking lot"	0.0653359
"nursing home"	0.0652926
market	0.0652721
workshop	0.0652328
Iraq	0.0651312
Washington	0.0650835
agency	0.0650699
company	0.0650333
one	0.0650221
laboratory	0.0649838
"Super Bowl"	0.0649766
studio	0.0649673
temple	0.0646354
Mission	0.0645826
Afghanistan	0.064576
mansion	0.0645512
soldier	0.0645306
"United States"	0.0644497
playoff	0.0644488
war	0.0644244
countryside	0.0642354
court	0.0642312
preseason	0.063977
mall	0.0639556
synagogue	0.0636346
military	0.0636014
"small town"	0.0635786
service	0.0635725
civilian	0.0633113
airfield	0.0631344
attack	0.0630652
street	0.0630606
scene	0.0629998
"rural area"	0.0629675
))
("Camp Abubakar" (desc 2362.74) (sims
Taloqan	0.17092
Mazar-e-Sharif	0.168421
Mazar-i-Sharif	0.15694
"Anlong Veng"	0.141406
Bamiyan	0.131476
"Mazari Sharif"	0.111574
Buldon	0.104972
Bailundo	0.102696
Andulo	0.0965369
Pailin	0.0933021
Kilinochchi	0.0919388
Junik	0.0855875
Malisevo	0.0811591
Makeni	0.0765619
Jaffna	0.0764051
"army base"	0.0762123
Juba	0.0736175
Srebrenica	0.0733285
Sevastopol	0.0727551
"military position"	0.0716024
garrison	0.0712391
Goma	0.0711862
Lubumbashi	0.0705927
Stormont	0.067008
Constantinople	0.0659439
causeway	0.0657598
Abubakar	0.065291
"Elephant Pass"	0.0651867
lair	0.0639029
"Orient House"	0.0638718
"Moro Islamic Liberation Front"	0.0620357
Kindu	0.0608269
Wolfsburg	0.059348
Vukovar	0.0586407
Talipao	0.0582112
Mankulam	0.0571694
"Fort Campbell"	0.0562862
"South Vietnam"	0.0546025
Izetbegovic	0.0545945
goalpost	0.0544902
airbase	0.0515656
Mullaitivu	0.0513733
Vavuniya	0.0513501
"military post"	0.051046
Tuzla	0.0504347
"Mexican peso"	0.0499197
Charikar	0.0494081
Kisangani	0.0489492
Zhongnanhai	0.0482706
"Camp Zeist"	0.0478651
Irbil	0.0477161
Gudermes	0.0467327
Kailahun	0.0464746
Jingdezhen	0.0459291
"Banja Luka"	0.0448809
"Dinko Sakic"	0.0447257
"Berlin Wall"	0.0441064
"navy base"	0.0437042
"mortar fire"	0.0424756
"Zimbabwean dollar"	0.0424162
"landing strip"	0.0420982
"Mobutu Sese Seko"	0.0416926
Marjayoun	0.0416529
Kalemie	0.0415264
Tangshan	0.0415156
"Jaffna Peninsula"	0.04116
Luoyang	0.0408514
Multan	0.0406273
Argun	0.0404942
Jalalabad	0.040439
"three schools"	0.0401293
"military installation"	0.0400643
Baalbek	0.040054
))
("Camp David" (desc 22948.8) (sims
"Wye Plantation"	0.248013
"Wye River"	0.172419
"Wye River Plantation"	0.165061
Shepherdstown	0.146845
RAMBOUILLET	0.134481
Wye	0.132766
Erez	0.115451
"conference center"	0.115157
Oslo	0.115149
summit	0.111089
"Andrews Air Force Base"	0.101026
retreat	0.0988723
Lome	0.0951301
Eilat	0.0916653
Davos	0.0910061
Helsinki	0.088242
Arusha	0.0861185
"White House"	0.085561
"Victoria Falls"	0.0838985
Geneva	0.0786747
"summit meeting"	0.0776649
CAIRO	0.0767183
"Diaoyutai State Guesthouse"	0.0763731
Stormont	0.0760587
PYONGYANG	0.075413
Zhongnanhai	0.0753332
Algiers	0.0748269
Lusaka	0.073502
resort	0.0703176
Riyadh	0.0688382
Libreville	0.0683942
Vienna	0.0677437
Tripoli	0.0676068
Belfast	0.0676017
Okinawa	0.0670885
Kremlin	0.0667893
LISBON	0.066769
BRUSSELS	0.0665937
Palestinian-Israeli	0.0663673
"Downing Street"	0.0658617
Havana	0.0657519
Dayton	0.0651416
"Great Hall"	0.0650665
"Presidential Palace"	0.065018
Gaza	0.0646585
Kandahar	0.0646502
Moscow	0.0646407
Bonn	0.064007
Alexandria	0.0636574
Windhoek	0.0631719
Kyoto	0.0630543
ATHENS	0.0630506
"Royal Palace"	0.0626787
el-Sheikh	0.0626097
Durban	0.0619847
palace	0.0615952
Rome	0.0615642
Istanbul	0.0612121
Damascus	0.0610372
"Fort Dix"	0.0607206
Berlin	0.0605735
BUDAPEST	0.0604572
Amman	0.060368
Baghdad	0.0603381
"vacation home"	0.0601951
Dushanbe	0.0601878
Rabat	0.0601814
SEOUL	0.0601763
"Pebble Beach"	0.060163
"U.N. Millennium Summit"	0.0599753
residence	0.0598185
Israeli-Palestinian	0.0597915
Madrid	0.0594082
"Tel Aviv"	0.0590756
Capitol	0.0586447
Accra	0.0583728
Abuja	0.0580912
Paris	0.0576267
Ramallah	0.0575547
ranch	0.057488
Jeddah	0.057101
"Dodger Stadium"	0.0568
Panmunjom	0.05667
Cartagena	0.056458
"Kuala Lumpur"	0.0563627
Ouagadougou	0.0563235
Sirte	0.0563173
Asmara	0.0559341
HARARE	0.0558668
"New Delhi"	0.0558194
Bangkok	0.0557966
COLOMBO	0.0557745
JERUSALEM	0.0557633
Kigali	0.0557571
Mideast	0.0555423
CARACAS	0.0554047
Yaounde	0.0552355
Sarajevo	0.0551447
Pretoria	0.0550345
Islamabad	0.0549572
Luanda	0.0548262
Lahore	0.054819
HANOI	0.0547327
Vientiane	0.0546369
Lausanne	0.0543643
Tehran	0.0542878
"Gaza Strip"	0.0542613
"Addis Ababa"	0.0542041
"Oval Office"	0.054021
"Middle East"	0.0536092
JOHANNESBURG	0.0535603
Doha	0.0532808
two-day	0.0531365
STOCKHOLM	0.0529937
MAPUTO	0.052831
Luxembourg	0.0526607
BELGRADE	0.052629
"Cape Town"	0.0523491
Gaborone	0.0523118
"Orient House"	0.0520091
Nairobi	0.0519731
Cooperstown	0.0519028
Maryland	0.0514176
Seattle	0.0513708
"Augusta National"	0.0513492
"Central Clinical Hospital"	0.0510256
Aqaba	0.0509037
Prague	0.0508403
"Shea Stadium"	0.0507333
ANKARA	0.0507064
Cologne	0.050403
"America West Arena"	0.0501922
Manila	0.0498057
Israeli-Syrian	0.049549
TIRANA	0.0495457
Tokyo	0.049017
Pristina	0.0488902
"Nigerian capital"	0.0488222
"Egyptian capital"	0.0486957
KIEV	0.0486444
Jakarta	0.0484814
WARSAW	0.048041
"Phnom Penh"	0.047908
"State Department"	0.047756
Florence	0.0477469
Hawaii	0.047719
Syrian-Israeli	0.0476829
Tucson	0.0476295
Tampa	0.0475439
Bahrain	0.0475022
"Dar es Salaam"	0.0474051
"country club"	0.0473542
Dublin	0.0471219
PALERMO	0.0470875
"military hospital"	0.0467551
Taba	0.0467325
Libya	0.0465342
daybreak	0.0464872
checkpoint	0.0462525
Beirut	0.046126
"Fenway Park"	0.045932
KAMPALA	0.0458975
"The Hague"	0.0458601
Brunei	0.0458306
MANAMA	0.0457648
Vineyard	0.045726
Newport	0.0454913
"St. Petersburg"	0.0454757
"city hall"	0.0454586
Sheikh	0.0453473
Khartoum	0.0453319
BUCHAREST	0.0452366
Vail	0.0452026
Edinburgh	0.0451592
"Buenos Aires"	0.0451242
three-day	0.0449364
YANGON	0.0447232
"St. Andrews"	0.0446327
Santiago	0.0445847
Monastery	0.0444994
ASEM	0.0444708
Subic	0.0443918
"Las Vegas"	0.0443122
Bishkek	0.0442161
"Yankee Stadium"	0.0441842
DHAKA	0.0441475
Chateau	0.0439097
TUNIS	0.0438981
Abidjan	0.0438298
ZAGREB	0.0437674
TALLAHASSEE	0.0434885
Fenway	0.0434119
Copenhagen	0.0434112
Kabul	0.0433943
Salzburg	0.043384
"Valley Ranch"	0.0433182
Algeria	0.0429766
"Turner Field"	0.0428478
Skopje	0.0428396
Norfolk	0.0428112
))
("Camp LeJeune" (desc 1900.26) (sims
"Fort Bragg"	0.173825
"Camp Pendleton"	0.149171
TARBORO	0.143576
"Fort Campbell"	0.124119
"Kitty Hawk"	0.12125
"Pitt County"	0.12071
"Research Triangle Park"	0.117056
"Chapel Hill"	0.111427
Winston-Salem	0.108087
"Cape Fear"	0.10153
"Rocky Mount"	0.0999694
"Camp Zeist"	0.0962734
"High Point"	0.0943311
Pinehurst	0.0935455
"Fort Hood"	0.0931523
Greensboro	0.0911297
"Fort Lewis"	0.0897179
Salisbury	0.0852497
Fayetteville	0.083384
"U.N. Headquarters"	0.0736147
Smithfield	0.0709642
"Mount Pleasant"	0.070717
ASHEVILLE	0.0693944
Cornelius	0.0684219
Cary	0.0682007
Princeville	0.0677963
"Kennedy Space Center"	0.0668427
hickory	0.0660674
"Fort Dix"	0.0655217
"Riverside Church"	0.0625828
Rockingham	0.0623341
Stansted	0.0617906
"John F. Kennedy Library"	0.0613946
Gnjilane	0.0613502
retrial	0.0610267
"John F. Kennedy International Airport"	0.0564762
"Ritz-Carlton Hotel"	0.0563299
"Andrews Air Force Base"	0.0557862
"Cannes International Film Festival"	0.0551094
Hillsborough	0.0551023
Poughkeepsie	0.054936
Beaufort	0.0548663
"Hong Kong International Airport"	0.054103
Incirlik	0.0537918
"Lone Star Park"	0.0535698
"La Guardia Airport"	0.0533872
Harrisburg	0.052447
"Newark International Airport"	0.0515528
Bangor	0.050777
Thomasville	0.0500761
daybreak	0.0488018
"Methodist Hospital"	0.0486221
Freeport	0.048174
"Kennedy Airport"	0.0474364
"First Union Center"	0.0471135
Amarillo	0.0470679
Akron	0.0466225
Aberdeen	0.0465934
Aviano	0.0452577
"RCA Dome"	0.0442133
"Avery Fisher Hall"	0.0441904
"Port Elizabeth"	0.0440231
"Cape Canaveral"	0.0438447
"Los Angeles International Airport"	0.042739
"Kent State"	0.0423324
Heidelberg	0.0420517
"First Baptist Church"	0.041621
Taloqan	0.0413191
Murmansk	0.0412632
"San Francisco International Airport"	0.041186
Sparta	0.0409511
"Kennedy International Airport"	0.0409071
"Omaha Beach"	0.0407178
Waldorf-Astoria	0.0406751
bethel	0.0403481
NIS	0.0402706
"Texas Motor Speedway"	0.0400752
"Joe Louis Arena"	0.0400708
))
("Camp Pendleton" (desc 1583.22) (sims
"Camp LeJeune"	0.149171
Ojai	0.141261
"Fort Hood"	0.12026
Sausalito	0.10599
"Fort Bragg"	0.09796
"Manhattan Beach"	0.0966316
"Marin County"	0.0963464
"Huntington Beach"	0.095413
"Mission Viejo"	0.0949675
"Riverside County"	0.0937559
Incirlik	0.0916134
"Indian Wells"	0.0915979
"Culver City"	0.0904485
Petaluma	0.0874162
Emeryville	0.0869703
Carlsbad	0.086691
"Fort Lewis"	0.0861013
Taloqan	0.0857037
Vallejo	0.0856903
Camarillo	0.0844095
"Fort Campbell"	0.0829241
"Del Mar"	0.0829099
"La Jolla"	0.080072
"Westlake Village"	0.0796515
Cupertino	0.0782161
"Thousand Oaks"	0.0778269
"Lake Tahoe"	0.0773289
Sunnyvale	0.0764031
"army base"	0.0758935
"Century City"	0.0751438
Aviano	0.0746909
Palmdale	0.073018
Fullerton	0.0718899
airbase	0.0713368
Torrance	0.0703592
"Pacific Palisades"	0.0699536
Fontana	0.0699064
oceanside	0.0698636
Kensington	0.0683521
"Walnut Creek"	0.0681904
Kabwe	0.0677882
"San Bernardino"	0.0673224
Chico	0.0668087
"Elephant Pass"	0.0667878
"San Rafael"	0.0667715
"Santa Ana"	0.0667014
Inglewood	0.066455
Burlingame	0.0657136
"Film Forum"	0.0648645
"Metropolitan Opera House"	0.064856
"Lawrence Livermore National Laboratory"	0.0643789
Blaine	0.0634165
Modesto	0.0633177
"Dorothy Chandler Pavilion"	0.0631748
Pleasanton	0.0630652
"Camp Zeist"	0.0628481
"San Luis Obispo"	0.0620212
"Santa Cruz"	0.061586
Subic	0.0611732
"Simi Valley"	0.0611092
"San Mateo"	0.0598233
Antioch	0.0594985
"U.N. Headquarters"	0.0594343
Pomona	0.0593263
Oxnard	0.0592131
"Wright-Patterson Air Force Base"	0.0589642
Downey	0.0583121
"San Pedro"	0.0582905
Redding	0.0581313
"El Segundo"	0.0576093
Bakersfield	0.0575934
"Sonoma County"	0.0575582
Carmel	0.0572428
"Mill Valley"	0.0565051
"Orange County Register"	0.0560695
Midrand	0.055961
"Santa Rosa"	0.0558898
"South San Francisco"	0.0556523
Charikar	0.0556138
"Santa Clara County"	0.0554323
"Georgia World Congress Center"	0.0554214
Encino	0.0554184
"San Carlos"	0.0554158
"Napa Valley"	0.0538804
Hillsborough	0.0528682
"Museum of Contemporary Art"	0.0522835
Brentwood	0.0519602
Claremont	0.0513702
Calabasas	0.051367
"Death Valley"	0.0511115
Tarzana	0.0510837
Fremont	0.0509303
Reseda	0.0502246
cypress	0.0502115
"Convention Center"	0.0501593
"Joyce Theater"	0.049994
Folsom	0.0498505
"Field Poll"	0.0498229
"Victoria Park"	0.0496659
"Mountain View"	0.0495627
Mosul	0.0491676
"Hong Kong Convention and Exhibition Center"	0.0488718
Rey	0.0487903
"Granada Hills"	0.0487843
"Suffolk Downs"	0.0487531
"Walt Disney World"	0.0486249
Stansted	0.0485918
Kitwe	0.0482894
Panmunjom	0.0479381
Pittsburg	0.0478852
"Sahalee Country Club"	0.0477746
"San Marcos"	0.0475981
"North Hollywood"	0.0475945
Coronado	0.0475655
"Kai Tak Airport"	0.0473164
"Gulfstream Park"	0.0472976
"Callaway Gardens"	0.0472707
oceanography	0.0470143
"Santa Maria"	0.0468913
"Diaoyutai State Guesthouse"	0.0467009
"Jomo Kenyatta International Airport"	0.0466024
"Fort Benning"	0.0465131
"Studio City"	0.0464563
"Olympic Club"	0.0464332
"San Pedro Sula"	0.0464293
"Happy Valley"	0.0451908
"Waldorf-Astoria Hotel"	0.0447116
"Wright State University"	0.0443564
Ipoh	0.0442561
"Kaiser Permanente"	0.044175
"Lawrence Livermore"	0.0441269
"LA COSTA"	0.0439409
"University of Colorado"	0.0437718
"Jet Propulsion Laboratory"	0.0437191
"Ritz-Carlton Hotel"	0.0433028
"New York State Theater"	0.0431999
"Buick Invitational"	0.0431163
Nago	0.0430367
"Fort Dix"	0.0422525
Silverstone	0.0419316
"Wembley Stadium"	0.0418661
Astoria	0.0417597
"Menlo Park"	0.0416753
"Sheraton Hotel"	0.0416629
"University of Zimbabwe"	0.0416535
"arm's length"	0.041493
sanatorium	0.0413817
"Council on Foreign Relations"	0.041293
Kitona	0.0404929
"Dulles International Airport"	0.040455
"Anlong Veng"	0.040445
Westlake	0.0400092
))
("camp site" (desc 1081.2) (sims
campsite	0.123409
"parcel of land"	0.0733015
campground	0.0689037
"danger zone"	0.0687954
skyboxes	0.0664802
encampment	0.0630421
"Ben-Gurion Airport"	0.0629627
"Arctic Ocean"	0.0607956
"work camp"	0.0598476
concertgoers	0.0592741
"last @@ points"	0.0586991
homepages	0.0585748
mini-camp	0.0584083
"landing strip"	0.0573371
"parking area"	0.0566734
firehouse	0.056334
"gas plant"	0.056253
followers	0.0556886
Quay	0.0556064
campsites	0.0540086
"septic tank"	0.0537019
shanty	0.0532276
"weather station"	0.0529579
"bag of tricks"	0.0526609
"triple play"	0.052556
"Penn Station"	0.0525217
"car insurance"	0.0521282
stone-throwers	0.0514944
"observation post"	0.0512545
"water table"	0.0509717
nadir	0.0509715
binoculars	0.0505473
phenoms	0.0503271
"toll plaza"	0.0498886
upland	0.0498303
"sea lane"	0.0496898
"draft board"	0.0496716
beekeeper	0.0496415
"breaking point"	0.0491884
"private corporation"	0.0489988
"staging area"	0.0487875
"mountain pass"	0.0487737
shootaround	0.0486987
sanatorium	0.0484369
mortuary	0.048302
"polling booth"	0.0476465
rainforests	0.0476196
"pumping station"	0.0470371
"city block"	0.0470025
Elf-Aquitaine	0.0469823
"Entebbe International Airport"	0.0469242
"military position"	0.0467994
"Dulles International Airport"	0.0467822
"Wye Plantation"	0.0467422
Colosseum	0.0465121
digs	0.046463
Ellipse	0.0464354
flatlands	0.0464016
"House Democrats"	0.0463286
mini-van	0.0462543
"first @@ points"	0.0462185
archrivals	0.046211
"purchase contract"	0.0461943
"office staff"	0.0461419
"Print Shop"	0.0459173
"six billion"	0.0459028
"lounge chair"	0.0451667
minicamps	0.0448851
"senior class"	0.0448192
"sense of direction"	0.0447893
grout	0.0444745
trestle	0.0444704
"rest room"	0.0443498
frontlines	0.0441767
"athletic field"	0.044003
"picnic area"	0.0439446
"production ceiling"	0.0437081
jetty	0.0434061
machineguns	0.0433531
"spark plug"	0.0433291
licking	0.0431581
motoring	0.0430588
paintbrush	0.0428635
"Valley Ranch"	0.0426927
oases	0.042687
"Andrews Air Force Base"	0.0426201
"academic year"	0.0424301
"rough water"	0.0422641
Tuesday.	0.0422035
"cattle ranch"	0.042087
carmakers	0.0420461
brownfields	0.0420303
kennel	0.0419193
"AFC Championship Game"	0.041774
"west northwest"	0.0417617
"target area"	0.0417297
latrine	0.0416914
behinds	0.0416796
"Southern Ocean"	0.0416765
"silver dollar"	0.0415174
"about @@:@@"	0.0413755
"Kai Tak Airport"	0.041326
"polling place"	0.04129
tacklers	0.041216
guesthouse	0.041188
sanitarium	0.0410922
"Tarrant County"	0.0410579
"domed stadium"	0.040709
Igloo	0.0406668
"particle accelerator"	0.0405765
megaplexes	0.0405755
duplex	0.0405468
Humvee	0.0405268
"first match point"	0.0404996
verisimilitude	0.0404509
morgue	0.0404299
pup	0.0403149
Tables	0.0401015
"American League Division Series"	0.0400725
"ponderosa pine"	0.0400664
"robbery suspect"	0.040057
"labor agreement"	0.0400505
beany	0.0400479
))
("Camp Zeist" (desc 1565.92) (sims
Utrecht	0.114361
Hague	0.101596
"Camp LeJeune"	0.0962734
Maastricht	0.0938973
"Fort Dix"	0.0789703
"Dennis van Scheppingen"	0.0761162
"Gianni Romme"	0.0755966
"Rintje Ritsma"	0.0742888
Lucknow	0.0733713
Trieste	0.0732591
Nuremberg	0.0719484
"Sjeng Schalken"	0.0718104
"The Hague"	0.068321
"Kristie Boogert"	0.0671277
Kindu	0.0663865
"Jacco Eltingh"	0.0652012
"Paul Haarhuis"	0.0644411
Gnjilane	0.0632851
"John Van Lottum"	0.0632344
Heerenveen	0.0631807
"Camp Pendleton"	0.0628481
Rotterdam	0.0620065
Nabatiyeh	0.0600706
Golcuk	0.0593524
"Brigham Young University"	0.0584984
"Fort Benning"	0.0584466
"Brenda Schultz-McCarthy"	0.0583705
Izmit	0.058001
Eindhoven	0.057625
Taloqan	0.0555182
Murmansk	0.0553608
Batam	0.0550275
"breakfast table"	0.054332
Cochabamba	0.0538813
Aviano	0.0537238
"SIERRA BLANCA"	0.0531028
Bogor	0.0527477
"National Tennis Center"	0.0526944
Davao	0.0524831
"San Cristobal"	0.0523204
airbase	0.0522353
Sevastopol	0.0518922
"Zhongshan University"	0.0514829
"Entebbe International Airport"	0.0499636
Shali	0.0498154
"present time"	0.0491478
"Imrali Island"	0.0488753
Puebla	0.0484956
Cyberjaya	0.0481887
"Camp Abubakar"	0.0478651
Yekaterinburg	0.0478532
Pusan	0.0468862
"Sacramento State"	0.0465265
Dundalk	0.0461023
"Fort Hood"	0.0459282
"Kansas State University"	0.0455134
"Oakland Coliseum"	0.0453343
"conference table"	0.0451114
Merida	0.0449919
"Mount Pleasant"	0.0431198
"Kim Clijsters"	0.0423446
Sidon	0.0423228
"traffic circle"	0.0422594
Jingdezhen	0.042091
Plattsburgh	0.0420757
"World Cycling Championships"	0.0420282
"Market Square Arena"	0.0419694
Bandung	0.0413563
Pattaya	0.0413328
Subic	0.0413295
"Ocean City"	0.0413106
"tennis club"	0.0412103
PATNA	0.0411863
"UC Irvine"	0.0410304
Kraljevo	0.0407819
"Olympic Park"	0.040433
Presidio	0.04032
Cacak	0.0401152
))
(campaign (desc 376360) (sims
effort	0.17974
program	0.14531
election	0.141811
war	0.141012
candidacy	0.135262
plan	0.134152
debate	0.133972
bid	0.133419
operation	0.127266
AD	0.125337
battle	0.12473
strategy	0.123886
process	0.123334
project	0.122335
initiative	0.121671
fight	0.121613
primary	0.121334
campaigning	0.12027
candidate	0.119644
race	0.11869
action	0.118625
policy	0.118602
attack	0.11704
proposal	0.116472
reform	0.116331
investigation	0.115934
"senate campaign"	0.115859
struggle	0.115325
"political campaign"	0.114678
administration	0.114409
strike	0.111995
Bush	0.110159
attempt	0.10959
activity	0.109337
gore	0.108793
offensive	0.108566
movement	0.107114
government	0.107019
party	0.106368
contest	0.105184
crackdown	0.105112
case	0.104996
Mission	0.103136
politics	0.102954
crusade	0.102682
protest	0.102207
measure	0.102067
vote	0.101959
"senate race"	0.101683
McCain	0.100956
bombing	0.100865
work	0.100864
development	0.100834
negotiation	0.100821
trial	0.100585
legislation	0.100385
"advertising campaign"	0.0998739
organization	0.0998507
Advertising	0.0996265
talk	0.099352
speech	0.0992817
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acquirer	0.0462857
politico	0.0462765
"Black Panther"	0.0462143
speller	0.0461385
masseuse	0.0461221
Dominican	0.0460323
"union representative"	0.0459035
veterinarian	0.0458691
sailor	0.045803
socialite	0.0457769
"Defense William Cohen"	0.0457281
Haitian	0.0456827
steelworker	0.0456441
caseworker	0.0456097
intern	0.0455468
lifeguard	0.0454233
"flight attendant"	0.0454191
"Ralph Reed"	0.0453685
masseur	0.0453552
Salvadoran	0.0453428
acquaintance	0.04533
"No. @s"	0.0452628
"civil servant"	0.0452332
"investment banker"	0.0452219
monk	0.0452148
"Leigh Ann"	0.045163
"certified public accountant"	0.045127
stone-throwers	0.0451151
paraplegic	0.0450639
"deputy sheriff"	0.0449859
manicurist	0.0449524
Muscovite	0.0448582
"sales manager"	0.0447694
Ince	0.0447353
cleric	0.0447345
babysitter	0.0446541
bystander	0.0446118
handler	0.044586
waiter	0.0445531
salespeople	0.0445422
))
(campaigner (desc 24412.9) (sims
activist	0.157548
advocate	0.137537
crusader	0.116787
dissident	0.111121
politician	0.0959126
environmentalist	0.0864257
reformer	0.0861911
orator	0.0860831
"Xu Wenli"	0.0860195
supporter	0.0841483
proponent	0.0822473
debater	0.0821847
protestor	0.0804217
legislator	0.0760343
"civil rights leader"	0.0742186
strategist	0.0717154
conservative	0.0710729
critic	0.0708615
protester	0.0702821
operative	0.0702223
opponent	0.0694706
"Wei Jingsheng"	0.0690046
thinker	0.0683813
statesman	0.0683334
crusade	0.0676199
demonstrator	0.0673703
"public speaker"	0.0672281
feminist	0.0669509
"elected official"	0.0668452
"political prisoner"	0.0663825
journalist	0.0660178
pacifist	0.0659774
businessman	0.065779
lawmaker	0.0655958
surrogate	0.0646324
"running mate"	0.0641943
nationalist	0.0640957
liberal	0.0640817
"political dissident"	0.0639106
conservationist	0.0634509
organizer	0.0631402
"political leader"	0.0631237
advocacy	0.0627447
intellectual	0.062078
backer	0.0619481
lobbyist	0.0611392
scholar	0.0607178
cleric	0.0601551
diplomat	0.0601548
front-runner	0.0601117
extremist	0.0600129
watchdog	0.0599788
Litigator	0.0598666
carpetbagger	0.059672
Democrat	0.0593403
foe	0.0591243
fund-raiser	0.0589621
"newspaper editor"	0.0585931
ally	0.0585186
writer	0.0584387
lawyer	0.0579152
pro-choice	0.0574589
"religious leader"	0.0573909
"social scientist"	0.0571303
standard-bearer	0.0570977
"labor leader"	0.0567559
performer	0.056444
congressmen	0.0563689
leftist	0.0562498
"business leader"	0.0562061
"cabinet minister"	0.0561928
centrist	0.0561888
moderate	0.0561871
poet	0.0560683
philanthropist	0.0559987
historian	0.0557124
frontrunner	0.0556025
educator	0.0555339
campaigning	0.0555329
preacher	0.055345
"national leader"	0.0553182
hypocrite	0.0552782
commentator	0.0552563
insider	0.0551497
ideologue	0.0551298
statesmen	0.0551238
parliamentarian	0.0550508
practitioner	0.0546471
observer	0.0545941
"trade unionist"	0.0541568
"standard bearer"	0.0541353
tactician	0.0540239
"university student"	0.0538947
"civic leader"	0.0536068
nominee	0.0535828
clergymen	0.0531196
defender	0.0530791
communicator	0.0529728
brawler	0.0529612
"trial lawyer"	0.0527979
veteran	0.0526825
loyalist	0.0525818
"cabinet member"	0.0525277
contender	0.0524972
"legal expert"	0.0524289
scientist	0.0522349
academic	0.0522059
Iranian	0.0521826
fighter	0.0520558
"public servant"	0.0517683
"campaign worker"	0.0517235
participant	0.0517069
abolitionist	0.0516837
financier	0.0516684
"military man"	0.0516547
promoter	0.0516267
adviser	0.0512888
aide	0.0511784
Mayor	0.0511347
"AIDS activist"	0.0510289
opposition	0.050666
banker	0.0504901
pollster	0.0504743
"state senator"	0.050051
follower	0.0499837
"power broker"	0.0499637
hard-liner	0.0499303
songwriter	0.0499044
jurist	0.0498167
"Wang Youcai"	0.0495288
musician	0.0494774
"council member"	0.0494491
"army officer"	0.0494029
"campaign official"	0.0493894
senator	0.0493113
pragmatist	0.0492422
winemaker	0.0492373
xu	0.0492136
"trade union"	0.0492064
citizen	0.0491961
Congressman	0.0490735
academician	0.0488799
challenger	0.0487552
martyr	0.0487079
troublemaker	0.0485074
officeholder	0.0484139
prosecutor	0.0483984
evangelist	0.0483696
Speaker	0.0483651
warrior	0.048256
"basketball player"	0.0482462
actor	0.0482336
staffer	0.0482032
believer	0.0481653
peacemaker	0.0480615
"pressure group"	0.0480526
Communist	0.0480199
"role model"	0.0479895
heir	0.0479671
stalwart	0.0479327
administrator	0.047885
battleground	0.0478176
volunteer	0.0478115
"policy maker"	0.047776
builder	0.0476002
painter	0.0475147
zealot	0.0475104
partisan	0.0474532
researcher	0.0474009
Industrialist	0.047277
terrorist	0.0471848
cartoonist	0.047168
left-winger	0.0470659
adversary	0.0469946
priest	0.0469511
traditionalist	0.0468692
translator	0.0467728
benefactor	0.0467275
negotiator	0.046647
watcher	0.046568
linguist	0.0465547
Pol	0.0465407
capitalist	0.0463831
"business executive"	0.0462651
Kaunda	0.0462495
entrepreneur	0.0462446
"major leaguer"	0.0462173
"corporate executive"	0.0462168
businessmen	0.0462106
lecturer	0.0461536
raiser	0.0461385
entertainer	0.0459627
activism	0.0459356
"union member"	0.0459022
"social worker"	0.0458734
mediator	0.0457727
outsider	0.0456613
pundit	0.0456389
patron	0.0456309
filmmaker	0.0456186
))
(campaigning (desc 47193.7) (sims
campaign	0.12027
debate	0.0968318
voting	0.0867067
primary	0.0829537
politics	0.0803193
candidacy	0.0788199
Advertising	0.0781929
speech	0.077376
contest	0.077145
Rally	0.0766997
shopping	0.0766215
AD	0.0751444
fighting	0.0736981
candidate	0.07275
bargaining	0.0717945
rhetoric	0.0714788
activity	0.070465
fund-raiser	0.0700856
poll	0.068578
doing	0.0680078
voter	0.0678669
tactic	0.067373
nomination	0.0670437
race	0.0670272
battle	0.0668075
activism	0.0666798
"political campaign"	0.0662186
training	0.0659409
endorsement	0.0656459
playing	0.0650503
election	0.0648829
ballot	0.0646502
buying	0.0645912
neck-and-neck	0.0645702
selling	0.0645205
diplomacy	0.0644276
travel	0.0643871
violence	0.0643151
driving	0.0635312
appearance	0.0633628
action	0.063281
preparation	0.0632526
partisanship	0.0631779
coverage	0.0630479
spending	0.0630024
commercial	0.0629488
practice	0.0625797
discussion	0.0625561
front-runner	0.0623452
vacation	0.0622631
"Bill Bradley"	0.0621998
negotiation	0.0621889
Racing	0.0621558
"George W. Bush"	0.0621107
protest	0.0615679
coaching	0.0615128
advertisement	0.061465
giving	0.0614119
gore	0.0609384
posturing	0.0608851
effort	0.0606683
caucus	0.0605481
demonstration	0.0601192
gambling	0.0600709
proceeding	0.0600072
hunting	0.0599497
wrangling	0.059809
publicity	0.0595487
warfare	0.0591541
confrontation	0.0589009
propaganda	0.0586349
registration	0.0584814
criticism	0.0582148
enforcement	0.0580499
planning	0.0580468
supporter	0.0577681
struggle	0.0576152
balloting	0.0574557
turnout	0.0573084
deliberation	0.0570153
haggling	0.0564884
trip	0.0564874
marketing	0.056231
showing	0.0561618
filming	0.056151
thinking	0.0561503
Bush	0.0559618
advocacy	0.0559036
exploration	0.0558085
Promotion	0.0557828
Speaking	0.0557641
"Al Gore"	0.0555624
campaigner	0.0555329
search	0.055478
programming	0.0553718
"senate race"	0.0553238
contact	0.0552853
digging	0.0551286
walking	0.0550537
argument	0.0548404
competition	0.054821
"advertising campaign"	0.054804
writing	0.0547368
reporting	0.0547329
fishing	0.0547223
teaching	0.0546357
learning	0.0545865
controversy	0.054362
testing	0.0543511
"running mate"	0.0542271
crusade	0.0540858
McCain	0.0540712
combat	0.0540359
trading	0.0540225
spree	0.0539024
strategy	0.053869
schooling	0.0538151
exercise	0.0536492
shoo-in	0.0533733
offensive	0.0532898
appeal	0.0527107
living	0.0523772
workout	0.0522603
Bradley	0.0521996
festivity	0.0520571
involvement	0.052029
bickering	0.0518977
reform	0.0517624
war	0.0514461
Democrat	0.0514046
"name calling"	0.0513388
bidding	0.0513138
blitz	0.0512243
flying	0.051112
"ad campaign"	0.0510551
education	0.0509383
operation	0.0509315
conservative	0.0508386
nominee	0.0507168
hearing	0.0506879
"tax cut"	0.0505747
logging	0.0504963
momentum	0.0504512
"John McCain"	0.0503501
convention	0.0501266
sparring	0.0500325
Republican	0.0500245
drinking	0.0499974
rehearsal	0.0499094
vote-buying	0.0498872
surfing	0.0498556
aspirant	0.0497979
"dead heat"	0.0496066
intervention	0.0495944
helping	0.0495367
surrogate	0.049508
attention	0.0494726
questioning	0.0494633
dialogue	0.049441
celebration	0.049256
remark	0.0492103
ambition	0.0491992
speculation	0.0491767
"town meeting"	0.0491762
"senate campaign"	0.04909
behavior	0.0490253
comment	0.048986
"sexual activity"	0.0489578
"military action"	0.0489467
eating	0.0489198
intimidation	0.0488429
hitting	0.0487776
constituency	0.0485766
Execution	0.0484782
trial	0.0483754
moving	0.0482354
outreach	0.0481573
expansion	0.0480829
communication	0.0480141
fraud	0.0480097
assault	0.0479967
preaching	0.0479716
inspection	0.0478698
boycott	0.047796
clash	0.0476931
popularity	0.0476857
bombing	0.0476599
treatment	0.0476476
litigation	0.0475886
initiative	0.047562
borrowing	0.0473736
"commercial activity"	0.0472949
innovation	0.0472433
"military campaign"	0.0472138
conflict	0.0471782
listening	0.047053
consolidation	0.0470364
repression	0.0469667
firing	0.0469413
consultation	0.0469377
))
(Campas (desc 871.587) (sims
Moorer	0.20297
"Frank Bruno"	0.154914
"Buster Douglas"	0.150764
Golota	0.134042
Hearns	0.127481
"Julius Francis"	0.126594
"South African Amanda Coetzer"	0.120265
"Kostya Tszyu"	0.118746
"Francois Botha"	0.111915
"Pernell Whitaker"	0.111352
"Julio Cesar Chavez"	0.106446
"Shannon Briggs"	0.101762
Quartey	0.101525
"Michael Moorer"	0.101161
"Oba Carr"	0.0987386
heatwave	0.0984821
Botha	0.0946266
Tua	0.0925759
"De La Hoya"	0.0916491
"Australian Mark Philippoussis"	0.0910349
"Orlin Norris"	0.0899508
"Andrew Golota"	0.0879023
"Felix Trinidad"	0.0845028
"Oscar De La Hoya"	0.0806327
"George Foreman"	0.0794525
vote-getters	0.0786425
Marciano	0.0783158
Mayweather	0.0768254
Whitaker	0.0768168
"three match points"	0.0765069
Coley	0.0763832
"Lennox Lewis"	0.0763523
Dilfer	0.0748048
Savon	0.0744817
constructor	0.0743216
"Ike Quartey"	0.0735822
"Weber State"	0.0733748
Hamed	0.0731694
Ruelas	0.072392
"Michael Grant"	0.070718
Tapia	0.070391
"Paulie Ayala"	0.0701514
Gatti	0.0701281
Bowe	0.0686029
"Oliver McCall"	0.0682757
tribals	0.0682242
Savarese	0.0680945
Rolen	0.0679326
Charest	0.0677626
"Larry Holmes"	0.0675579
Liston	0.0675419
Hoya	0.0664765
Vidro	0.0663725
"Evander Holyfield"	0.0661669
knockdown	0.0657924
Hendry	0.0649318
Toomer	0.0647434
"American Chanda Rubin"	0.0645495
Rosenblatt	0.0644273
"Learning Company"	0.0634893
Fulham	0.0632338
"Playstation II"	0.0630005
Mabry	0.0629625
"Vaughn Bean"	0.0629576
uppercut	0.0629503
"World Boxing Association"	0.0627647
"Riddick Bowe"	0.0621186
"about @.@ million dollars"	0.0617162
"Sugar Ray Leonard"	0.06055
"Tar Heels"	0.060374
"Axel Schulz"	0.0599768
"McNeese State"	0.0595343
"Dave Hollins"	0.0584504
Zyvox	0.0581512
"Liaoning Hunters"	0.0563631
Vols	0.0559514
Wiberg	0.0557431
Sweeting	0.0557128
Ceballos	0.055609
"American Todd Martin"	0.0555979
Charpentier	0.0552268
"Southern Methodist"	0.0549545
"Griffith Joyner"	0.0549464
"Chris Carpenter"	0.0543823
"Vladimir Samsonov"	0.0541718
"College of Charleston"	0.053989
"technical knockout"	0.053891
"Roy Jones Jr."	0.053858
Randa	0.0538266
Ertl	0.0534549
"Henry Akinwande"	0.0533887
Capriati	0.0529609
"Lou Savarese"	0.052673
Briggs	0.0525014
Baines	0.0524266
Kournikova	0.0521372
Carr	0.0520472
blinker	0.0519761
K-State	0.0519488
Takanohana	0.051943
"about @@.@ million dollars"	0.051822
Aurilia	0.0517929
WSU	0.051744
Tharp	0.0509696
"N.C. State"	0.0507281
Ayala	0.0506545
rebounders	0.0506536
Sooners	0.0506311
"two match points"	0.050553
"Kevin Dyson"	0.0504253
Utes	0.0501983
Susanti	0.0501936
Espinosa	0.0498509
"Ye Zhaoying"	0.0497617
"minority shareholder"	0.0492699
"billion yuan"	0.0488725
Seizinger	0.0487507
Trammell	0.0486514
Zambrano	0.0486089
Samuelson	0.0485322
Ranford	0.0484535
"Shane Mosley"	0.0479079
Neel	0.0478478
"Indiana State"	0.0478189
spammers	0.0477282
"five spot"	0.0476893
"Hicham Arazi"	0.0476398
Muoneke	0.0475972
Koehler	0.0475706
Evander	0.0475494
"Big Tobacco"	0.0473537
"Dallas Burn"	0.04731
dampness	0.0471751
Taubman	0.0471524
"water cooler"	0.0471088
Pioline	0.0470896
Duran	0.0470147
"Ray Lankford"	0.0463992
"Roberto Duran"	0.0463286
Elie	0.0462615
Iroquois	0.0462319
Tanaka	0.0461594
Rodionov	0.0460163
Stanton	0.0459923
"Matt Walbeck"	0.0459136
"Skip Away"	0.0458078
"Van Sant"	0.0457992
Juilliard	0.0456856
Vargas	0.0456556
Costin	0.0455666
"Viswanathan Anand"	0.0455506
magpie	0.0454001
"U.S. Women"	0.0453084
Ozersky	0.0451803
"Emma George"	0.0451532
Loaiza	0.0451354
"Arturs Irbe"	0.0450518
"Richard Fromberg"	0.0449303
Osuna	0.0448299
AEK	0.0447679
"Van Roost"	0.0446739
"pork tenderloin"	0.0443391
Ferreira	0.0442907
"Erubiel Durazo"	0.0442834
Capel	0.0442117
Dutchmen	0.0442012
"Kordell Stewart"	0.0441216
baby-boomers	0.0440604
rollovers	0.0438071
Schmeichel	0.0437976
"Calgary Flames"	0.0437848
Lennox	0.0437801
"Eric Gagne"	0.04377
USTA	0.0436883
Necaxa	0.0436756
"Favorite Trick"	0.043626
ex-combatants	0.0435806
"Saint Louis"	0.043516
"Toronto Maple Leafs"	0.0434757
McCown	0.0433866
"Jansher Khan"	0.0433551
Sahalee	0.0432448
"Big Blue"	0.0431959
Marquez	0.0430862
Kong	0.0430857
Hao	0.0430829
centimeter	0.0429906
"Kevin Millwood"	0.0429835
Fiset	0.0429514
"Schalke @@"	0.0429332
"Glenn Hoddle"	0.0428705
Ausmus	0.0428574
"John Burkett"	0.0428153
"Rahanwein Resistance Army"	0.0427577
"Jorgen Persson"	0.042699
gangrene	0.0426877
Sexson	0.0426612
shad	0.0426531
stratagem	0.042628
Bronfman	0.042596
))
(Campbell (desc 24768.4) (sims
smith	0.0953372
Thompson	0.0944501
Ashcroft	0.0911565
Jackson	0.0854088
Taylor	0.0852477
Quayle	0.0849965
McCollum	0.0840179
Johnson	0.082875
Feinstein	0.0828295
Wilson	0.0824864
DOLE	0.082409
Edwards	0.0823376
Hyde	0.0821363
Miller	0.0814151
Evans	0.0800351
Payne	0.079965
Moynihan	0.0797756
Lott	0.0797755
Davis	0.0792657
Tauzin	0.0785381
Barnes	0.078118
Stewart	0.077741
Richardson	0.0775778
Cohen	0.077541
Dixon	0.0775241
collins	0.0775013
Moore	0.077498
Giuliani	0.0772599
Taft	0.0770712
Levin	0.0766328
Allen	0.0756172
Graham	0.0752384
Foley	0.0751024
Sullivan	0.0747634
Clark	0.074681
Dingell	0.0746507
Gilman	0.0743829
Bradley	0.0741664
Kennedy	0.0739782
Weldon	0.0738762
Riley	0.0737627
SHUSTER	0.0736535
Spitzer	0.0734657
Schumer	0.0734598
Gramm	0.0733405
Roberts	0.0731751
Ferraro	0.0730553
Riordan	0.0730054
Pelosi	0.0726965
Ellis	0.0723962
Peterson	0.0723716
Robinson	0.0721075
Glover	0.0720236
Chafee	0.0718188
Coleman	0.07172
Mitchell	0.0716435
Carter	0.0716137
Kyl	0.0714401
Wiggins	0.0713437
Lieberman	0.0713185
Parker	0.0709152
Buchanan	0.0707792
Kasich	0.0707185
fisher	0.0705645
Reilly	0.0704053
Barrett	0.070291
McCarthy	0.0702047
Pataki	0.0700674
Greene	0.0699982
Cheney	0.0698145
McCain	0.0696782
Hughes	0.0694383
Ferguson	0.0692805
Daley	0.0691455
Kolbe	0.0690123
Walsh	0.0687692
Cole	0.0687423
Ventura	0.0685434
Meehan	0.0685095
Gephardt	0.0684861
Carroll	0.0682944
Lewis	0.0680406
Jones	0.0679925
Anderson	0.0678925
gore	0.0678694
Vallone	0.0676849
James	0.0673511
Barr	0.0673493
Coverdell	0.0670429
Malone	0.0670244
Mason	0.0669965
Carnahan	0.0669475
Friedman	0.0669134
Abraham	0.066496
Powell	0.0664868
Wang	0.0664834
Owens	0.0664493
Livingston	0.0664458
Williams	0.0662562
Voinovich	0.0661052
Lowey	0.0660503
Torricelli	0.0657969
Bryant	0.0654744
Chen	0.0654559
walker	0.0653376
fowler	0.0653342
Wright	0.0653098
Davies	0.0651574
D'Amato	0.0650319
hatch	0.0649962
Adams	0.0648561
Craig	0.0645216
Cisneros	0.0644853
Phelps	0.0644563
Whitman	0.0642931
Olson	0.0641553
Bush	0.0640445
Murray	0.0639948
Rubin	0.0639085
Ramsey	0.063904
Ackerman	0.0638765
Forbes	0.0638636
Cunningham	0.063832
Burns	0.0638097
Elliott	0.0636141
Leach	0.0635427
Berger	0.0635119
Sanders	0.0634561
Gordon	0.0633638
Bennett	0.0633596
Rowland	0.063091
Markey	0.0630783
Gomez	0.0629774
Brown	0.0629191
Albright	0.0629103
Ramirez	0.0629072
Cornyn	0.0627661
Phillips	0.0627234
Oakley	0.0627066
Pierce	0.0626909
Kelly	0.06263
Blair	0.0625892
Cox	0.0625435
Russo	0.0624674
Nelson	0.0623649
Rodriguez	0.0622557
Houghton	0.062249
Armstrong	0.0621664
Berman	0.0621379
Sherman	0.0618587
Gingrich	0.0617951
McCurry	0.0617465
Siegelman	0.0615969
Ramos	0.0615613
Reynolds	0.0614931
Lungren	0.0614397
duncan	0.0613922
Schroeder	0.0612858
Hayes	0.0612721
Burton	0.0612228
Harper	0.0611877
Shaw	0.0611362
Lazio	0.0611125
Hutchison	0.0610038
Bauer	0.0609485
Helms	0.0608867
Webber	0.060755
Watson	0.0606996
Goldberg	0.0606538
martin	0.0605135
Cardoso	0.0604638
Ryan	0.0604478
Mordechai	0.0604455
Hagen	0.0604305
Crowley	0.0602329
Clinton	0.0601976
Ford	0.0601246
Watkins	0.0600465
Stevens	0.0598595
Reeves	0.0598211
Ewing	0.0597937
Gretzky	0.059767
Lee	0.0596772
Schwartz	0.0596738
Thomas	0.0596659
Howard	0.0596396
Scott	0.0596244
Luzhkov	0.0595254
Morris	0.0593819
perry	0.059378
Palmer	0.0593481
turner	0.0592803
Wallace	0.0592775
Peres	0.0592476
Meeks	0.0592034
Ross	0.0591847
Raytheon	0.0591805
Steele	0.0591536
Fischer	0.0591201
Kodak	0.0590964
))
("Campbell Soup" (desc 1686.75) (sims
Colgate-Palmolive	0.157655
Bestfoods	0.126936
"Adobe Systems"	0.11982
"International Paper"	0.115907
"Eastman Kodak"	0.110656
"Ford Motor"	0.0977933
"Union Carbide"	0.0965083
Alcoa	0.0862463
"Jack Welch"	0.0829789
Unisys	0.0815629
Cargill	0.0801679
Gerber	0.0790802
Kellogg	0.0782272
Nabisco	0.0776953
"United Technologies"	0.0776461
Pepsico	0.0775234
Kodak	0.0773981
Dupont	0.0769172
Novartis	0.0747704
CMG	0.0747149
Ciena	0.0743152
Mobil	0.0724027
Sepracor	0.0711285
whirlpool	0.0708287
"Eli Lilly"	0.0704916
"Eastman Kodak Co."	0.070476
UAL	0.0690518
Enron	0.0690137
Monsanto	0.0686841
Chevron	0.0684144
Citigroup	0.0677407
"Thermo Electron"	0.0674864
TELLABS	0.0674445
"Advanced Micro"	0.0667544
VENATOR	0.0664039
ICI	0.0662972
"Texas Instruments"	0.0661196
Wachovia	0.0654038
Bayer	0.0652983
Immunex	0.0650608
"Monetary Policy Committee"	0.0649277
Gillette	0.0646161
Merck	0.0644358
SDL	0.064146
"Circuit City"	0.0641053
Hewlett	0.06406
AHP	0.0640187
Amoco	0.0635396
"Commonwealth Bank"	0.0635372
"Procter &AMP; Gamble"	0.063455
BP	0.0618629
Walmart	0.0618458
BASF	0.0618161
"Waste Management"	0.0615613
Heinz	0.0609862
VICKERS	0.0607519
"Pratt &AMP; Whitney"	0.0599496
UTC	0.0597619
Maytag	0.0594656
Geico	0.0594291
Amgen	0.0593862
Starwood	0.0592363
Corning	0.0590356
AMP	0.0589987
BankAmerica	0.0586511
"General Electric"	0.0580535
Dresdner	0.0579458
Hewlett-Packard	0.0577765
Honeywell	0.0577176
Pairgain	0.057354
"Chase Manhattan"	0.0573301
Unilever	0.057129
Kmart	0.0567903
Scientific-Atlanta	0.0565664
RAMBUS	0.056558
Terra	0.0551586
"Allied Signal"	0.0550213
NatWest	0.0548862
"American Express"	0.054443
IEA	0.0543679
BCE	0.0542592
ITC	0.0541152
Seagate	0.0540692
MiniMed	0.0540656
Anheuser-Busch	0.0538911
Iomega	0.0538419
"UAL Corp."	0.0536268
Belo	0.0535669
Quaker	0.0532207
"Dell Computer"	0.0530639
ITT	0.0526421
"State Farm"	0.0523756
"Atlantic Richfield"	0.052325
Caterpillar	0.0519451
CFTC	0.0518532
"Compaq Computer"	0.0517812
Newell	0.051774
"Bank of Israel"	0.0517656
XYLAN	0.0516864
"Exxon Mobil"	0.0515054
Childress	0.051425
"J.P. Morgan"	0.0510373
McKesson	0.0509912
Broadcom	0.0509349
AlliedSignal	0.0508978
Medtronic	0.0506413
Cabletron	0.0505434
"Toys R Us"	0.0504895
GANNETT	0.0504871
PEOPLESOFT	0.0503842
HomeGrocer.com	0.0502893
Penney	0.0502238
YPF	0.0500739
Barclays	0.0499209
CPF	0.0497453
"key rate"	0.0496899
Georgia-Pacific	0.049659
NORTHROP	0.0496056
"Computer Associates"	0.0495279
Ameritech	0.0495227
Tandy	0.0493259
Fujitsu	0.0492121
"Pacific Century"	0.0486719
REVLON	0.0485212
CPSC	0.048324
Daimler-Benz	0.0482565
"Liz Claiborne"	0.0482204
"RJR Nabisco"	0.0482076
BOJ	0.0481953
"Coca Cola"	0.0481444
Renault	0.0481005
"Kenneth Clarke"	0.0480268
"U.S. Fed"	0.0480127
prudential	0.0479771
pretax	0.0479768
Procter	0.0478682
Aetna	0.0478059
Associates	0.0476631
Xerox	0.0475036
"Phelps Dodge"	0.0473118
Hoechst	0.0472702
"Fred Meyer"	0.0472421
Safeway	0.0471171
Telstra	0.0467727
Sanyo	0.0466567
NationsBank	0.0465308
Hasbro	0.0463975
Saks	0.0463827
Caltex	0.0461063
Lilco	0.0460516
"Senate Budget Committee"	0.0459791
Pepsi	0.0459655
ani	0.0459607
"Cisco Systems"	0.0459558
WPP	0.0458935
Chao	0.0458772
"China Airlines"	0.0458474
third-quarter	0.0457934
Electrolux	0.04576
"Rolls Royce"	0.0456404
Biogen	0.0456203
BUSINESSES	0.0454793
Wada	0.0454065
chipmakers	0.0452206
EMC	0.0452099
Aventis	0.0451743
"Bank of Canada"	0.0450837
Alcatel	0.0450199
NCR	0.0449657
"Investors Service"	0.0448366
Siemens	0.0447788
Lukoil	0.0447372
Broderbund	0.0445819
"Bank of Korea"	0.0445806
ALZA	0.0445025
BHP	0.0444097
Walgreen	0.0443838
Grasso	0.044336
"Pepsi Cola"	0.044293
HKFA	0.0442848
Broadcast.com	0.0441822
Micron	0.0441306
"U.S. Federal Reserve"	0.0441222
Petrofina	0.0440349
Citicorp	0.0440321
Weyerhaeuser	0.0439223
Litton	0.0438209
Bhattarai	0.0436587
Wenger	0.0436235
Pacificare	0.0434783
"Miller Lite"	0.0434674
Bristol-Myers	0.0434539
HSBC	0.0433915
Italia	0.0433231
"BellSouth Corp."	0.0432143
"Defense Agency"	0.0431285
"Donaldson, Lufkin &AMP; Jenrette"	0.0430537
TRW	0.0429835
Warner-Lambert	0.0428715
Daimler	0.0427961
))
(camper (desc 17117.9) (sims
hiker	0.128643
boater	0.12333
"mobile home"	0.114138
RVs	0.0952858
trailer	0.0884937
angler	0.085567
vacationer	0.0839608
Fishermen	0.0822533
backpackers	0.0808058
miner	0.078218
villager	0.0781331
kayakers	0.077116
sightseer	0.0767471
jeep	0.0761326
"mountain climber"	0.0757946
"bird watcher"	0.0757666
skier	0.0754894
sailor	0.0753485
tourist	0.0752781
semitrailer	0.0751049
bikers	0.0745131
traveler	0.0739792
snowmobilers	0.073953
commuter	0.0737394
birder	0.0730915
climber	0.0721493
beachgoers	0.0714147
passenger	0.0713726
"college student"	0.071346
onlooker	0.0707581
jogger	0.0698472
pilgrim	0.0698018
Muscovite	0.0697598
"station wagon"	0.0696138
"school bus"	0.0693099
campsites	0.0688835
truck	0.0685812
canoeist	0.0682381
churchgoer	0.0681929
firefighters	0.0681523
teen-ager	0.0681391
boat	0.0677481
tractor	0.0671617
fisherman	0.0670251
motorist	0.066489
enthusiast	0.0663486
mini-vans	0.0663252
van	0.0659826
Hunter	0.0658661
snowboarders	0.065783
visitor	0.0652083
"crew member"	0.0651151
shopper	0.0647014
"church member"	0.0644923
camping	0.0644915
youngster	0.0641101
diver	0.0637915
worshiper	0.0635951
minibuses	0.0632176
surfer	0.063066
"university student"	0.0630062
Motorcycle	0.0627448
schoolchildren	0.0627189
bus	0.0626431
policemen	0.0625293
bird-watchers	0.062328
mourner	0.0622034
worshipper	0.0622002
skydiver	0.062177
"fishing boat"	0.0619067
swimmer	0.0616662
reveler	0.0615939
bicyclist	0.0612983
cabin	0.0611889
firemen	0.0611179
inmate	0.0610899
"fire engine"	0.0609377
spectator	0.0606972
tent	0.0605815
pupil	0.0605709
marcher	0.0605417
picnicker	0.0604553
motorcyclists	0.060417
hut	0.0603498
mini-buses	0.060311
conventioneer	0.0602571
logger	0.0601705
shack	0.0601229
"fire truck"	0.0600882
wagon	0.0597904
rig	0.0597475
"foster child"	0.0596576
migrant	0.059481
parachutist	0.0594372
demonstrator	0.0592627
Atlantans	0.0590346
attendees	0.0589585
townspeople	0.0589213
lorry	0.0587984
evacuee	0.058744
teenager	0.0587243
pedestrian	0.0585564
soldier	0.0585118
"young man"	0.0584732
Ambulance	0.058443
driver	0.0583465
crewmembers	0.0583314
taxi	0.0582284
gambler	0.0582129
"pickup truck"	0.0580545
hemophiliac	0.0578668
shopkeeper	0.0578498
volunteer	0.0577745
"police car"	0.0577449
passers-by	0.0576377
airmen	0.0575705
cottage	0.0575561
teens	0.0573796
townsfolk	0.0573418
SUVs	0.0571302
golfer	0.057113
centenarian	0.0571018
Briton	0.0570585
Honduran	0.0570079
activist	0.0569616
bystander	0.0569269
protestor	0.0568992
"staff member"	0.0568564
airplane	0.0567372
"mountain gorilla"	0.0567095
rancher	0.0567037
moviegoer	0.0565071
Dominican	0.056401
cab	0.0563827
trucker	0.056301
sportsmen	0.056285
Lebanese	0.0562743
retiree	0.0562483
protester	0.0562081
herdsmen	0.0560064
"police officer"	0.0558946
Klansmen	0.0558565
"freight car"	0.0558476
cyclist	0.0556594
servicemen	0.0556434
tractor-trailers	0.055555
"family member"	0.0555004
RV	0.0553911
settler	0.0553487
civilian	0.0550889
peasant	0.0550174
listener	0.054962
poacher	0.0549253
"business traveler"	0.0547798
classmate	0.0547424
schoolmate	0.0546057
"tractor trailer"	0.0544789
orphan	0.0544263
"farm worker"	0.0544217
"military vehicle"	0.0543775
holidaymaker	0.0543681
prisoner	0.0543383
partygoer	0.0542979
laborer	0.0542751
racer	0.0542175
"job seeker"	0.0542168
"truck driver"	0.0541204
Cruiser	0.0539479
Copt	0.0537966
skater	0.0537314
lifeguard	0.0536368
limousine	0.0535842
looter	0.0535502
Navajos	0.0531464
crewmen	0.0531212
learner	0.053066
marine	0.0529699
conscript	0.0529576
patron	0.0528365
"railroad car"	0.0528278
"military personnel"	0.0528157
twentysomethings	0.0528128
stowaway	0.0527827
minivan	0.0527658
Iranian	0.0527537
"medical student"	0.0526745
pickup	0.0526568
"business executive"	0.0525674
novice	0.0525514
"little girl"	0.0525428
detainee	0.052386
seminarian	0.052364
exhibitor	0.0522161
"altar boy"	0.0520956
seamen	0.0520119
transient	0.0519655
"young woman"	0.0519192
policeman	0.0517516
guest	0.0517351
crewman	0.0517282
))
(campfire (desc 6068.72) (sims
"brush fire"	0.067289
ember	0.0670691
bonfire	0.0666604
firecracker	0.0660753
"short circuit"	0.0609911
felling	0.0603068
stove	0.0562952
candle	0.0543738
"forest fire"	0.052688
fireplace	0.0520848
coming-out	0.0455574
"kitchen table"	0.0445668
camping	0.0439506
lightning	0.043922
vending	0.0426238
"exotic dancer"	0.0415673
"dinner table"	0.0408373
Cigar	0.0407892
"electrical device"	0.0406853
conflagration	0.0400184
))
(campground (desc 8604.77) (sims
campsite	0.158231
campgrounds	0.119977
lodge	0.0895332
"trailer park"	0.0894954
campsites	0.0852574
motel	0.0819057
cabin	0.0816754
ranch	0.0797491
"gas station"	0.0783646
resort	0.0741564
Marina	0.0740308
"amusement park"	0.073694
inn	0.0701532
"mobile home"	0.0700471
"target area"	0.0689241
"camp site"	0.0689037
cottage	0.0686032
"army base"	0.0674168
bed-and-breakfast	0.0673263
cemetery	0.067169
"cattle ranch"	0.0671053
"conference center"	0.0663144
"beach house"	0.0653198
dacha	0.0646529
ravine	0.064473
"parking lot"	0.0631067
dock	0.0625415
mall	0.062524
"parcel of land"	0.0620653
"liquor store"	0.0614826
"Kennedy Space Center"	0.0610124
"service station"	0.060514
orchard	0.0604317
airstrip	0.0598029
tavern	0.059661
"truck stop"	0.0594201
delicatessen	0.0587519
subdivision	0.0586464
"Disney World"	0.0586018
condo	0.0585418
condominium	0.0578802
Grove	0.0569691
encampment	0.0569151
"apartment building"	0.0569072
"dairy farm"	0.0561387
"shopping center"	0.0561052
"Andrews Air Force Base"	0.055813
farmhouse	0.0557516
shack	0.0552884
hacienda	0.0545518
rink	0.0542182
"Holiday Inn"	0.0541831
hideaway	0.0540961
"bowling alley"	0.0540754
bungalow	0.0540348
depot	0.0539238
airfield	0.0538066
pier	0.0533485
"movie theater"	0.0532905
"general store"	0.0532011
"vacation spot"	0.0529401
ritz	0.0529082
estate	0.0528459
"grocery store"	0.0528297
"theme park"	0.0527832
hostel	0.0526816
"dance hall"	0.0525637
"Rainbow Room"	0.052476
dealership	0.0521597
"convenience store"	0.0519495
Hamlet	0.0518847
outpost	0.0516626
mansion	0.0514942
"gasoline station"	0.051321
"boarding house"	0.0512057
"small town"	0.0507707
"air base"	0.0507351
checkpoint	0.0507184
plaza	0.0505558
"holding cell"	0.0504734
zoo	0.0502525
Cove	0.0502419
pub	0.0501102
guesthouse	0.0494863
"community center"	0.049382
deli	0.0493605
landfill	0.0493525
"shopping mall"	0.0492059
Vineyard	0.0490711
"Wye Plantation"	0.0490682
"beauty salon"	0.0489736
"national park"	0.0489719
Chateau	0.0488232
cafe	0.0487471
"psychiatric hospital"	0.0485108
fairground	0.0484173
"athletic field"	0.0484127
shanty	0.0484097
woodland	0.0481231
"sand dune"	0.0480638
sanctuary	0.0480069
Warehouse	0.048006
"petrol station"	0.0477738
sawmill	0.0477457
"Fort Hood"	0.0477258
junkyard	0.0476239
"building site"	0.0475098
"landing strip"	0.0474911
enclave	0.0474775
dwelling	0.0473154
"country house"	0.0470919
"Mount Carmel"	0.0470356
discotheque	0.0470083
"Logan International Airport"	0.0469348
"industrial park"	0.0468887
winery	0.0468565
Lighthouse	0.0467098
morgue	0.0467097
hut	0.0466516
sanitarium	0.0466077
meadow	0.0464983
camping	0.0464266
"parking area"	0.0464264
kibbutz	0.0463816
"resort hotel"	0.0463106
slaughterhouse	0.0462674
mill	0.0462191
"Heathrow Airport"	0.0461706
bed-and-breakfasts	0.0461416
trestle	0.0461127
barrack	0.0460768
"clothing store"	0.045916
Convent	0.0458885
Monastery	0.0458348
"observation post"	0.0458264
nursery	0.045815
latrine	0.0457665
kiosk	0.0457132
"golf course"	0.0455858
lagoon	0.0455169
cave	0.0454236
pasture	0.0453571
airbase	0.045307
"toy store"	0.0451116
shantytown	0.0451066
garage	0.0450984
promenade	0.0450616
wetlands	0.0449475
schoolhouse	0.0449299
"bus station"	0.0445474
"Interstate @@@"	0.0445185
tract	0.0444294
enclosure	0.0444198
pond	0.0443469
homestead	0.0442333
Disneyland	0.0440991
"vacation home"	0.044075
SPA	0.0440649
"art gallery"	0.0440539
commune	0.0440461
"train station"	0.0440012
hilltop	0.0439905
"log cabin"	0.0439573
Castle	0.0439428
"ranch house"	0.0438898
Villa	0.0438788
canyon	0.0438696
"Florida Keys"	0.0438663
"subway station"	0.04372
"botanical garden"	0.0435702
"six kilometers"	0.0434467
"housing development"	0.043421
"swimming pool"	0.0434005
concourse	0.0431839
"traffic circle"	0.0431686
"navy base"	0.0431468
"Missouri River"	0.043018
slum	0.042935
"coffee shop"	0.0428273
outhouse	0.0427934
Creek	0.0427478
"gift shop"	0.0427236
hillside	0.0426828
"jewelry store"	0.0426823
"day care center"	0.0426534
ballroom	0.0426369
amphitheater	0.0426056
mortuary	0.0425888
Stansted	0.0425808
"summer house"	0.0425568
trailer	0.0425319
"funeral home"	0.0424642
Hanford	0.0424376
marshland	0.0423686
"railway station"	0.0423555
chalet	0.0423066
"city block"	0.042299
gym	0.0421842
dormitory	0.0421358
"motel room"	0.0420361
))
(campgrounds (desc 5804.83) (sims
campsites	0.203174
bed-and-breakfasts	0.146953
campground	0.119977
lodge	0.110741
"recreational facility"	0.105616
"picnic area"	0.0932966
Marina	0.0927957
motel	0.092538
spas	0.0915905
inn	0.0896717
Bathhouse	0.0875562
campsite	0.0867394
"tennis court"	0.084832
camping	0.0837343
nightspots	0.0822311
"conference center"	0.0815058
"entertainment center"	0.0800591
"golf course"	0.078941
"truck stop"	0.0778342
"botanical garden"	0.0763347
"amusement park"	0.0752265
"dance hall"	0.0745952
resort	0.07347
"office building"	0.0730317
"mobile home"	0.0725303
teahouse	0.0718573
guesthouse	0.0707415
"gas station"	0.0695293
"resort hotel"	0.0694534
"holiday resort"	0.0693882
"theme park"	0.0686464
eateries	0.0684989
bed-and-breakfast	0.0673783
SPA	0.0671761
"food shop"	0.0669591
"shopping mall"	0.0664851
"swimming pool"	0.0660795
Eco-tourism	0.0659823
condominium	0.0648167
"ice rink"	0.0647784
"national park"	0.0646567
"shopping center"	0.0645781
airstrip	0.0637975
plaza	0.0636903
playground	0.062668
chairlift	0.0625036
"exhibition hall"	0.0618822
cabin	0.0616806
pier	0.0614427
"liquor store"	0.0614276
cottage	0.061167
outbuilding	0.0610194
"yacht club"	0.0609419
"hot spring"	0.0604217
"ball field"	0.0594318
"educational institution"	0.0591755
wetlands	0.0587571
"gift shop"	0.0586629
"travel agency"	0.0585532
townhouses	0.0579923
chalet	0.0579193
interstates	0.0577815
boardwalk	0.0576373
"ski lift"	0.0574507
cafe	0.0571296
"parking lot"	0.0569515
"city block"	0.0566838
"movie theater"	0.0566465
subdivision	0.0566084
"polling place"	0.0562734
marshland	0.056232
mall	0.0561724
discotheque	0.0555117
"butcher shop"	0.0552824
zoo	0.0548243
bungalow	0.0547936
"tourist hotel"	0.0547292
"water sport"	0.0545644
"service station"	0.0544211
stables	0.0544147
"body of water"	0.0542689
"retail store"	0.0542342
"fire station"	0.0541664
kiosk	0.0540627
"Ryder Cups"	0.0539507
"bowling alley"	0.0537664
restroom	0.0536693
B-@s	0.0535993
seashore	0.0533894
"military installation"	0.0531778
woodland	0.0531609
wildlife	0.0529044
recreation	0.0526158
hostel	0.0526107
"parking space"	0.052466
"house of worship"	0.0523935
"employment agency"	0.0523278
amphitheater	0.0522447
"polling booth"	0.051919
"drinking fountain"	0.051595
lodging	0.051485
lagoon	0.0514037
"polling station"	0.0512571
"access road"	0.051098
tavern	0.0510713
dwelling	0.0510029
"trailer park"	0.0509859
"bus stop"	0.0509068
"art gallery"	0.0508627
boulevard	0.0505882
"bus station"	0.0505222
"medical institution"	0.0504719
"sewer line"	0.0504339
hiking	0.0503685
circuses	0.0502356
"industrial park"	0.0502208
"grocery store"	0.0500555
state-level	0.0498259
"vacant lot"	0.049755
amenity	0.0494342
"blood bank"	0.0491642
scenery	0.0491115
winery	0.0490621
airfield	0.0488295
ISPs	0.0487809
"Kosovo Serbs"	0.0487572
"sales outlet"	0.0486999
walkway	0.0486089
sanctuary	0.0486039
"convenience store"	0.0483133
garage	0.0482852
"tennis club"	0.0478285
condo	0.0476985
"reading room"	0.047565
"department store"	0.0475395
sub-branches	0.0475371
kennel	0.047232
arcade	0.0472132
roadway	0.0472067
drive-in	0.0471712
crewmembers	0.0470114
"pumping station"	0.0469943
accommodation	0.0468837
oases	0.0468624
"train station"	0.0466011
"Pro Bowls"	0.0465759
"housing development"	0.0465271
"landing strip"	0.0464868
gyroscope	0.0464312
bog	0.0463339
"post office"	0.0462899
"motel room"	0.0462413
"boarding house"	0.0462032
aquarium	0.0461256
"three schools"	0.0460995
"country club"	0.0458895
dealerships	0.0458796
"public toilet"	0.0455516
great-grandchildren	0.0455379
starts.	0.045507
Esplanade	0.0454636
"apartment building"	0.0454218
vegetation	0.0453081
"Rainbow Room"	0.0452605
ecosystem	0.0452523
"day camp"	0.0451407
"parking area"	0.0450175
parking	0.0449867
"national monument"	0.0449142
"target range"	0.0446214
wharf	0.0445855
"Medicare HMOs"	0.0445647
hatchery	0.0444987
"open-air market"	0.0441875
dormitory	0.0440375
Villa	0.0439922
"petrol station"	0.043898
auditorium	0.0437784
"Blair House"	0.0436971
"day care center"	0.0436073
"water project"	0.0434444
saloon	0.043346
"bus company"	0.0432988
pub	0.0432793
"psychiatric hospital"	0.0431671
"tea house"	0.0431646
orchard	0.0431503
Wetland	0.0430222
"beauty shop"	0.043017
"office space"	0.0430129
no-decisions	0.0429764
"street corner"	0.0429741
"driving range"	0.0428774
streetlight	0.0428245
Vista	0.042784
"water system"	0.0426683
"fishing season"	0.0426271
ECNs	0.0426031
storefront	0.0425966
"shipping company"	0.0425905
))
(camping (desc 14664.2) (sims
hiking	0.140488
"horseback riding"	0.137351
boating	0.118361
snorkeling	0.116927
campsites	0.108692
golfing	0.106675
fishing	0.104717
hunting	0.100924
skiing	0.100657
"scuba diving"	0.100434
parking	0.0957354
"mountain climbing"	0.091188
bicycling	0.0881932
recreation	0.0862564
campgrounds	0.0837343
"rock climbing"	0.0830583
sightseeing	0.0822231
mountaineering	0.0806587
lodging	0.0760534
surfing	0.0754958
fly-fishing	0.073305
getaway	0.0724931
"water sport"	0.0694893
grazing	0.0681674
vacation	0.0677438
logging	0.0676088
shopping	0.0666764
ski	0.0663295
dining	0.0660974
camper	0.0644915
gardening	0.0625251
snowmobile	0.0615842
vacationing	0.0614895
swimming	0.0611637
walking	0.0611403
campsite	0.060798
kayak	0.0605018
riding	0.0598457
scuba	0.059722
ranching	0.0582774
picnic	0.0570425
"recreational facility"	0.0564645
boarding	0.0562948
outdoors	0.0560357
golf	0.0558255
excursion	0.0553185
ecotourism	0.054642
mining	0.0546181
"target practice"	0.0542615
diving	0.0542133
rental	0.0536127
spas	0.0522262
accommodation	0.0514013
wandering	0.0511459
navigation	0.0508591
tent	0.0503055
bike	0.0502486
viewing	0.0500325
shipping	0.0499047
condo	0.0496328
farming	0.0490121
Entertainment	0.0488162
wildlife	0.0487915
lunch	0.0481484
safari	0.0475681
babysitting	0.0474428
cottage	0.0473129
sit-in	0.046496
campground	0.0464266
hiding	0.046328
meal	0.0461786
Housing	0.0461521
gambling	0.0461028
tourism	0.0460874
sledding	0.0460293
cooking	0.0458492
drilling	0.0457836
playground	0.0456431
tennis	0.0455706
gazebo	0.0451315
cabin	0.0451142
"road construction"	0.0450482
Skating	0.0449825
driving	0.044827
transportation	0.0447816
SPA	0.0447118
"living together"	0.0446744
adventure	0.0446302
cycling	0.04454
"summer camp"	0.0442103
campaigning	0.0442065
sailing	0.0440119
campfire	0.0439506
poaching	0.0434765
drinking	0.0433569
"playing card"	0.0431457
"log cabin"	0.0430463
encampment	0.0428257
refuge	0.0426432
travelling	0.042304
"mobile home"	0.0421856
jogging	0.0421397
dancing	0.0419995
resettlement	0.0418423
storage	0.0416266
eating	0.0414912
sitting	0.0413778
brunch	0.04127
sanitation	0.0412575
deforestation	0.0411926
vigil	0.0411847
breakfast	0.0410753
"vacation home"	0.0409517
planting	0.0407806
vegetation	0.0406329
patrolling	0.040297
flying	0.0402864
"hiding place"	0.0402114
seating	0.0400908
surveying	0.0400498
))
(Campo (desc 5138.24) (sims
Gailey	0.146386
Harrick	0.131414
McGinnis	0.126299
"Dave Campo"	0.123952
Jauron	0.121644
Monson	0.119751
Wannstedt	0.117999
Billick	0.116178
Holmgren	0.114948
Seifert	0.113876
Slocum	0.113748
Fassel	0.112542
Talebi	0.112159
Belichick	0.107014
Neuheisel	0.106984
Romar	0.106522
Rambis	0.105789
Vermeil	0.103556
"Chan Gailey"	0.103423
Martz	0.103032
Donnan	0.102897
Fulmer	0.101145
Tomey	0.0996102
Westphal	0.0991614
Ainge	0.098669
Passarella	0.0966435
Calhoun	0.0966402
Gossage	0.0958116
Kearin	0.0954602
"Rich Brooks"	0.0949707
Milutinovic	0.0948119
Leyland	0.0946207
Schmid	0.0939993
Sampson	0.0932942
Tobin	0.0928006
Hartsburg	0.0925911
Silas	0.0924125
Jarvis	0.0923637
"Van Gundy"	0.0922728
Hackett	0.0922627
Scioscia	0.0903169
Skiles	0.0899453
Popovich	0.0891655
beamer	0.0889622
Drexler	0.0887275
Casserly	0.0884731
Bibby	0.0878763
Carroll	0.0874318
Ponciano	0.0869285
Tomjanovich	0.0866421
Heinrichs	0.0865546
ROMNEY	0.0860393
Groh	0.0858249
Lavin	0.0857695
Piccard	0.0855846
Marineau	0.0851803
Spurrier	0.0844681
Parcells	0.0838534
Mariucci	0.0833687
"Bill Belichick"	0.0826507
Barnett	0.0819852
Hoddle	0.081901
Krzyzewski	0.0816046
Aliotti	0.0811675
Snyder	0.0811421
Shanahan	0.0808621
Bowden	0.0808579
Crenshaw	0.0808441
Mora	0.0808232
Braswell	0.0806032
Ftorek	0.0805861
Piniella	0.0804084
Tubbs	0.0802723
Donahue	0.0798273
Lockhart	0.0796707
"Pete Carroll"	0.0795451
Valenzuela	0.0790384
Prewitt	0.0790035
Bettman	0.0781907
Shurmur	0.0779938
"Mike Holmgren"	0.0779816
Pitino	0.0775158
Ebbers	0.0773588
Jacquet	0.0773409
Finkel	0.0771706
Sutherland	0.0770384
Okada	0.0768823
Zagallo	0.0765334
Zambrano	0.0763789
Devers	0.0763763
Villar	0.0763216
Sherrill	0.0760192
Lasorda	0.0759521
DiCicco	0.075545
Paxon	0.0754714
Hoffman	0.075302
Troussier	0.075291
Dierker	0.0750607
Berenson	0.0748278
Fleischer	0.0744563
Azizah	0.0741865
Maldini	0.0739668
Zampese	0.0739287
Vogts	0.0739248
Guerra	0.0737308
Hargrove	0.0732623
Zenga	0.0730466
Landry	0.0726682
Reeves	0.0725644
Erickson	0.0724156
"Breda Kolff"	0.071881
Lowery	0.0717883
McMahon	0.0711767
Rahal	0.0709569
Brister	0.0709114
Franchione	0.0708837
Evans	0.0708778
Solis	0.0707875
Ebersol	0.0706944
O'Leary	0.0705173
Gillick	0.0704733
Flutie	0.0704389
Copeland	0.0703363
Tuberville	0.0701119
Isakson	0.069882
Ruehe	0.0695514
Sloan	0.0693638
Riley	0.0692465
Zimmer	0.0691535
Zadornov	0.0691315
Duquette	0.0690848
Schmidt	0.0690842
Rossotti	0.069002
Insulza	0.0689178
O'Malley	0.0687458
Hauser	0.0685896
Torre	0.0685808
Polian	0.0681628
Olsen	0.0681331
Wendt	0.0680485
D'Alessandro	0.0679191
Vick	0.0679127
Reimer	0.0678707
Layden	0.0678602
Muckler	0.067763
Oates	0.0677614
Cowens	0.0676816
Cowher	0.067672
Walsh	0.0675612
O'Brien	0.0675489
Osborne	0.0675379
Mandelson	0.0675237
Wetteland	0.0675048
Dougherty	0.0674592
Schneider	0.0673953
Schottenheimer	0.0673428
ISSEL	0.0671896
Maslyukov	0.0670402
Joklik	0.0670033
Holtz	0.0665725
Castillo	0.0663398
Solich	0.0662957
Cavanaugh	0.0661991
Chaney	0.0661742
Molinari	0.0661623
Schourek	0.0661111
Wenger	0.0658305
capella	0.0658117
Lambright	0.0657771
Nolan	0.0655325
Irvin	0.0655027
Antley	0.0654603
Toledo	0.0653819
Mandella	0.0653772
Weinke	0.0653758
"Dave McGinnis"	0.0653599
Ivester	0.0653275
Davie	0.0652545
Kanell	0.065227
Cisneros	0.0651687
"Phil Jackson"	0.0650975
Diggs	0.0650222
Colangelo	0.064972
Bavasi	0.0649676
Nunn	0.0649542
"Pat Burns"	0.0648534
Rongen	0.0648301
Singson	0.0647891
Milbury	0.0647145
Sather	0.0644853
Matthews	0.0643992
Tarawneh	0.0642936
Stoneman	0.0642895
Eizenstat	0.0642074
Ditka	0.0641367
Sheehan	0.064106
Vogel	0.0640933
Eastwood	0.0640868
"Rick Pitino"	0.0640573
Gullikson	0.0640232
))
(Campos (desc 2545.74) (sims
"Tom Presthus"	0.126474
"Jorge Campos"	0.105962
Laudrup	0.0996279
Taffarel	0.0907424
Matthaeus	0.0894183
"Peter Schmeichel"	0.0853303
Carbonneau	0.0828804
Ortega	0.0822815
Suarez	0.081803
Shields	0.0817859
Gomez	0.0808695
Bonanno	0.0782151
Underwood	0.0777732
Kalejs	0.0775343
"Briana Scurry"	0.0772136
"Brad Friedel"	0.0767079
Fiset	0.0762937
Schmeichel	0.0758478
Flores	0.0757358
Haskins	0.0753919
Haas	0.0749333
Zamora	0.0745712
Donahue	0.0732477
Salo	0.0730931
Mendez	0.0730176
Ricci	0.07279
Woodson	0.072338
Morales	0.0723353
Andreychuk	0.0720729
Milken	0.071774
Gonzales	0.0717055
Skakel	0.0704314
Agca	0.0702753
Unser	0.070275
Roussel	0.069689
Mikhailov	0.0696806
Dodd	0.0696173
"Maturino Resendiz"	0.0692976
Daley	0.0692704
Hightower	0.0692002
"Fred Brathwaite"	0.0691219
Liao	0.0690149
Merritt	0.0689372
Sorensen	0.068554
Goldstein	0.068495
Camacho	0.0682763
Abernathy	0.0681632
guo	0.0681276
Fernandez	0.067852
Hwang	0.0678359
Barrasso	0.0678065
Echols	0.0674959
Martorano	0.0674314
Dunham	0.0668766
Sanders	0.0666106
Mcbride	0.0665013
Starks	0.0664409
Manley	0.0663477
Bodine	0.0660676
"Kevin Hartman"	0.0660454
Weiss	0.0659861
O'Malley	0.0655512
McCullough	0.0655162
Sheppard	0.0653997
Geiger	0.065291
Klinsmann	0.0652364
Simmons	0.0650153
Newhouse	0.0648937
Akers	0.0646604
Grahame	0.0644862
Ikeda	0.0644098
EOHR	0.0641145
"Manny Fernandez"	0.0638435
Marinovich	0.0638287
Sarsour	0.0637693
Lobo	0.0637486
Sato	0.0635804
Rosenblatt	0.0635187
Reid	0.0633491
Ruehe	0.0632069
Hansen	0.0629894
Raines	0.0629214
Stephens	0.0628584
"Fabien Barthez"	0.0626438
Tran	0.0623924
Huggins	0.0622686
Browne	0.0621108
Stayner	0.0618128
Hendricks	0.0616948
Fahey	0.0614161
Hoffa	0.0613721
NCI	0.0609323
McCaffrey	0.0608253
Villanueva	0.0607779
Zenga	0.0607543
Erving	0.0607241
Alford	0.0606947
"Drazen Ladic"	0.0604466
Lipponen	0.0601186
Horne	0.0601101
Dafoe	0.0600363
pressman	0.0600095
Chilavert	0.0598824
Santos	0.0598183
nix	0.0598113
Seaver	0.059721
Cienfuegos	0.0596361
Chung	0.0594928
Copeland	0.0594641
leeson	0.0594205
Boles	0.059229
Holmes	0.0592008
Jensen	0.0591005
Adams	0.0590631
Cepeda	0.0590301
McKenna	0.0588232
Berenson	0.058648
"Jocelyn Thibault"	0.0586107
collins	0.0583715
Reyes	0.0582767
Sutter	0.0581788
Bonilla	0.0580398
Kovalev	0.0578291
Keenan	0.0577827
Kanell	0.0577744
Sims	0.057724
Nichols	0.0577117
Abdel-Meguid	0.0576202
Fagan	0.0574717
Stackhouse	0.0574407
Forrester	0.0573845
Cavallo	0.0573664
"Ray Lewis"	0.057276
Rodionov	0.0571691
Carollo	0.0571665
Hebert	0.0571582
lauder	0.0571154
Lugo	0.0570634
Cassell	0.0568974
"Roman Turek"	0.056891
Symons	0.0568729
Daniels	0.05682
Ripken	0.0567783
Lindros	0.0567719
Atwater	0.0566797
"Mikhail Shtalenkov"	0.0566668
Gonzalez	0.0566628
Florio	0.0566476
"Reggie Lewis"	0.0566454
Rothschild	0.0566131
McKeon	0.0565582
Crews	0.056484
Baerga	0.0563885
Norris	0.0563564
Hagen	0.056283
Najera	0.0561461
Babitsky	0.0560583
Henning	0.0560246
Amos	0.0560225
Gugliotta	0.0559992
Bidwill	0.055967
Symington	0.0558951
Kauffman	0.0558753
Salinas	0.0557108
Legace	0.0556812
Maradona	0.055681
Tsang	0.0556507
Figueroa	0.0556132
Hastings	0.0555801
Meissner	0.055544
Quinn	0.0555134
Moxley	0.055479
Hawkins	0.0554374
Cheever	0.0554092
Saleh	0.0553752
Lopez	0.0553538
Bates	0.0552901
Nunez	0.0552577
Alvarez	0.0551383
Myers	0.055114
Lindland	0.0550467
Borg	0.0550382
Velayati	0.0550045
Torres	0.0550012
Feuer	0.0548431
McMichael	0.0547365
Belfour	0.0547335
Sheehan	0.0547205
Cummings	0.0546512
Aventajado	0.0546143
Barker	0.0545943
Ruggiero	0.0545459
Farris	0.0545282
Scalabrine	0.0544486
Wilkins	0.0542176
Oppenheimer	0.0541894
Sills	0.0541893
O'Brien	0.0541431
Diouf	0.0541399
Chafee	0.0541315
))
(campsite (desc 3419.83) (sims
campground	0.158231
"camp site"	0.123409
campgrounds	0.0867394
campsites	0.0772283
"Dulles International Airport"	0.0764795
"landing strip"	0.0735517
dacha	0.0725926
hostel	0.0722006
sanatorium	0.0706861
sanitarium	0.0703971
bed-and-breakfast	0.0702679
"observation post"	0.0701874
"city block"	0.0693689
encampment	0.0678703
"cattle ranch"	0.0660663
Monastery	0.0655054
hut	0.0649515
"coffee bar"	0.0644576
farmhouse	0.0640138
"Plaza Hotel"	0.0640002
"lawn chair"	0.063522
shantytown	0.0635193
kibbutz	0.0635104
"Holiday Inn"	0.0630654
trestle	0.0629229
ranch	0.061953
motel	0.0610021
camping	0.060798
"Andrews Air Force Base"	0.060651
chalet	0.0603555
"work camp"	0.0602144
shanty	0.0602012
"holding cell"	0.0600679
manhole	0.0599931
"mobile home"	0.0596159
cabin	0.0595729
hideaway	0.0594647
"Logan Airport"	0.0592939
"military post"	0.0592339
shivering	0.0590886
"open-air market"	0.0586824
shack	0.0581686
"Ben-Gurion Airport"	0.0581342
"hiding place"	0.0578196
rink	0.0573955
"parking space"	0.0573492
ritz	0.0572882
ravine	0.0569535
homestead	0.0569041
"robbery suspect"	0.0563126
orphanage	0.0562811
winery	0.0560457
"country house"	0.0554812
cottage	0.0554161
Chateau	0.0552788
airfield	0.0547051
"dairy farm"	0.0546021
guesthouse	0.0538446
"fraternity house"	0.0534742
"chicken coop"	0.0529464
schoolhouse	0.0528401
"lounge chair"	0.0527809
firehouse	0.0523729
"Cedar Lodge"	0.0519032
"Windsor Castle"	0.0518908
"computer store"	0.051779
"watering hole"	0.0516014
"movie theater"	0.0513695
Fort	0.0513644
crevasse	0.0510849
dormitory	0.051059
spas	0.0510455
"wedding party"	0.0510021
"bus station"	0.0509979
"jewelry store"	0.0509683
"gas plant"	0.0509325
"paper cup"	0.0507982
"boarding school"	0.050589
depository	0.0505804
"dance hall"	0.0504572
"boarding house"	0.0504379
meadow	0.050208
"military position"	0.0500626
woodland	0.0500087
quarry	0.0499694
commune	0.0498341
"resort hotel"	0.0495994
"parking area"	0.0495207
"command post"	0.0494848
"mountain pass"	0.0493874
snowpack	0.0493723
"New Braunfels"	0.0493491
"truck stop"	0.0490929
"blind date"	0.0490263
"army base"	0.0489811
"bus stop"	0.0488831
bog	0.048876
"gas station"	0.0487495
"holiday resort"	0.0483852
knapsack	0.04837
Dodgertown	0.0480478
"Valley Ranch"	0.0478625
"Ford Explorer"	0.0478554
frontlines	0.0477324
"hunting ground"	0.047643
marshland	0.047541
"woman's body"	0.047502
orchard	0.0474502
dealership	0.0474369
gravesite	0.047375
"danger zone"	0.04736
RV	0.0468996
weigh-in	0.0468892
"general store"	0.0467277
hideout	0.0465988
lodging	0.0464324
"traffic circle"	0.0461967
"supper club"	0.0460328
airstrip	0.0459841
"target area"	0.0458913
crosswalk	0.0458364
"liquor store"	0.0458302
"residential district"	0.0456754
tarpaulin	0.0456109
"driving school"	0.0453684
cistern	0.0453517
nunnery	0.0453457
dinghy	0.0452847
flagpole	0.0451699
"vacation spot"	0.0450869
"toll plaza"	0.0448755
"hardware store"	0.0447752
"waiting area"	0.0447308
"building site"	0.0446204
"sea lane"	0.0445042
hatchery	0.0444635
stables	0.0444413
"Seton Hall University"	0.044403
"apartment building"	0.0442231
gully	0.0440802
slaughterhouse	0.0440123
"piece of land"	0.0439535
Convent	0.0437429
lamasery	0.0437327
depot	0.0437233
"navy base"	0.0436694
"market town"	0.0436177
"beach house"	0.0435883
hangar	0.0435688
sloop	0.0435514
nonentity	0.0435457
stone-throwers	0.0435363
easel	0.043488
Ritz-Carlton	0.0434017
"mental institution"	0.0433708
"motel room"	0.0432635
lean-to	0.0432396
heliport	0.0430325
duplex	0.0430106
waterworks	0.0429983
"train station"	0.0429684
"catchment area"	0.042771
discotheque	0.0427522
waterfall	0.0426827
bungalow	0.0426723
"repair shop"	0.0426559
"trading post"	0.0426496
"about @@,@@@ acres"	0.0425481
"apartment house"	0.0425161
"field hospital"	0.0424895
racetrack	0.0424343
pushcart	0.0424192
"place of worship"	0.0424159
roadblock	0.0423076
"Dorothy Chandler Pavilion"	0.0422993
"wedding reception"	0.0422479
"coffee shop"	0.0421032
"vacation home"	0.0420999
pub	0.0420783
"Missouri River"	0.0420712
"parade ground"	0.0420109
"railway station"	0.0419969
"vantage point"	0.0419706
"firing range"	0.0418992
floodlight	0.041814
"indian reservation"	0.0418031
"training school"	0.0417462
YMCA	0.0417105
"duffel bag"	0.0416826
"mental hospital"	0.041661
"convenience store"	0.0416556
cordon	0.0416551
taxicab	0.0416224
"coffee pot"	0.0416177
promenade	0.0416164
"video screen"	0.0416117
"polling station"	0.0415972
garrison	0.0415766
Humvee	0.0415559
Streetcar	0.0415007
))
(campsites (desc 3555) (sims
campgrounds	0.203174
camping	0.108692
"recreational facility"	0.100941
"picnic area"	0.0911971
campground	0.0852574
"parking space"	0.0779136
bed-and-breakfasts	0.0776151
campsite	0.0772283
"mobile home"	0.0767597
cabin	0.0765862
"public toilet"	0.0753244
bed-and-breakfast	0.0730682
motel	0.0690265
camper	0.0688835
kilometre	0.0679039
megaplexes	0.0673229
"resort hotel"	0.0665636
gazebo	0.0663934
hypermarket	0.0662808
"polling booth"	0.0658219
Marina	0.064619
ex-convicts	0.0633479
"motel room"	0.0630478
encampment	0.0624998
"log cabin"	0.0611198
parking	0.0608685
latrine	0.0605397
"tourist hotel"	0.0598956
"travel agency"	0.0593548
bungalow	0.0583742
sawmill	0.0582708
"polling place"	0.0577832
airstrip	0.0567903
toilet	0.0565991
Lighthouse	0.0565457
"paper mill"	0.0564671
hiking	0.0562366
"tea house"	0.0561619
cottage	0.0560464
culvert	0.0559591
"conference center"	0.0556697
acre	0.0555771
spas	0.0555516
"hot spring"	0.0551914
Bathhouse	0.0551437
"vacant lot"	0.0549284
hut	0.0544074
kiosk	0.0543822
"sugar refinery"	0.0543217
"oil well"	0.0542934
examinees	0.054266
shanty	0.054101
"camp site"	0.0540086
"ghost town"	0.0539847
"telephone booth"	0.0537229
"industrial enterprise"	0.0535146
pavilion	0.0534121
spacewalks	0.0528238
outbuilding	0.0527669
"weather station"	0.0526242
"mountain pass"	0.0525962
dealerships	0.0518847
Icebox	0.0516257
crewmembers	0.0509748
"employment agency"	0.050908
restroom	0.0507863
"day care center"	0.0506596
"amusement park"	0.0506217
vacationer	0.0505774
"entertainment center"	0.0505284
oases	0.0500452
"service station"	0.0499269
chalet	0.049726
"hotel room"	0.0496924
specialities	0.0496887
pier	0.0494417
dwelling	0.049401
inn	0.0493859
"polling station"	0.0492475
eateries	0.0491398
waterfall	0.0490625
"field hospital"	0.0489286
trunks	0.0489236
stone-throwers	0.0488892
"national park"	0.0486636
"shopping center"	0.0486185
pantry	0.0484986
hippocampus	0.0483733
"cattle ranch"	0.0482056
"gas station"	0.0481405
registrant	0.0479429
high-rise	0.0479174
polluters	0.0478722
firsts	0.0477646
townhouses	0.0477423
"square mile"	0.0477369
"railway car"	0.0477272
seashore	0.0476949
"state highway"	0.0476504
"gift shop"	0.0475644
Supercenters	0.0475415
"trade route"	0.0474144
"admission fee"	0.047353
"sperm whale"	0.0472623
"subsidiary company"	0.0471249
shack	0.0469832
"three schools"	0.0468517
sortie	0.0467103
dispensary	0.046629
"national monument"	0.0464746
"power unit"	0.0464291
"subway station"	0.0463358
snowmobilers	0.0462012
"access road"	0.0459542
Salvadoran	0.0459213
"New Jerseyans"	0.0459208
"Iraqi POWs"	0.0458315
Seizinger	0.0458051
dacha	0.0458021
nightspots	0.045472
porpoise	0.0454308
enumerators	0.0452852
"retail store"	0.0452226
websites	0.0451422
joint-ventures	0.0450606
"commercial enterprise"	0.0450135
"holiday resort"	0.0449994
"automatic teller machine"	0.0449152
"botanical garden"	0.044907
submariner	0.0447929
Muscovite	0.0447374
"drinking fountain"	0.0445171
"mountain peak"	0.0444755
"military installation"	0.0444663
getaway	0.0444623
flats	0.0444537
Eritrean	0.0442278
"power station"	0.0442048
metropolises	0.044076
"target area"	0.04396
tract	0.043692
prosthesis	0.0436855
lodging	0.0436214
"petrol station"	0.0435886
"landing strip"	0.0435203
seating	0.0433575
"tennis court"	0.0433345
stoplight	0.043289
"Iranian POWs"	0.0432311
"body of water"	0.043124
granary	0.0430636
"parcel of land"	0.0430575
"military post"	0.04295
"sailing vessel"	0.0429471
meltdowns	0.0429459
"three pitchers"	0.042798
dumps	0.0427838
dike	0.0427786
near-misses	0.0427436
airfield	0.0427362
aftershock	0.0426385
inlet	0.0426108
"food shop"	0.0425701
"Cuban Americans"	0.0424513
motorcyclists	0.042428
outhouse	0.0423822
minibuses	0.0423719
"oil refinery"	0.0423473
guesthouse	0.0422636
"blind spot"	0.0421957
"Suzhou Industrial Park"	0.04218
"railroad line"	0.0419503
distillery	0.0419073
interstates	0.0418237
dining	0.0417855
emphases	0.0417376
"Albanian Kosovars"	0.0415516
mini-buses	0.0415401
snowmobile	0.0414445
"sewer system"	0.0413583
"absentee ballot"	0.0412621
"sand dune"	0.0412351
"swimming pool"	0.041086
"Medicare HMOs"	0.0409507
"landing craft"	0.0408298
cultist	0.0408169
"pumping station"	0.0408097
parkland	0.0407971
galley	0.0407693
"row house"	0.0407599
"dance hall"	0.0407447
vertebrate	0.0407235
"radio transmitter"	0.0406255
newsgroups	0.0405906
stalls	0.0405895
"target range"	0.0404676
soliders	0.0404091
"season ticket"	0.0403041
Cove	0.0402662
VMs	0.040265
))
(campus (desc 121344) (sims
school	0.127029
street	0.122184
park	0.113358
university	0.109002
neighborhood	0.106688
College	0.105193
building	0.102612
home	0.101223
mall	0.0999833
square	0.0992125
complex	0.0991659
site	0.0989199
hospital	0.0988016
"law school"	0.098612
farm	0.0983345
graduate	0.0983307
airport	0.0968747
hotel	0.0961133
headquarter	0.0960855
"high school"	0.0957663
Capitol	0.094733
center	0.0925207
"Capitol Hill"	0.0914818
downtown	0.0913854
dormitory	0.090752
library	0.0905487
stadium	0.0905095
faculty	0.0901399
island	0.0895158
village	0.0891682
"medical school"	0.0889508
town	0.0885533
office	0.0882638
church	0.0880099
house	0.0879589
museum	0.0877318
facility	0.0875382
plaza	0.0875311
classroom	0.087012
beach	0.0869405
property	0.085662
area	0.0855524
courthouse	0.0830244
store	0.0827439
student	0.0825527
base	0.0824958
ranch	0.0819169
"elementary school"	0.0818592
residence	0.0809951
apartment	0.0806311
"medical center"	0.0803856
city	0.0803601
district	0.0803309
station	0.0802655
highway	0.0800031
"parking lot"	0.0795906
"school of law"	0.0794893
field	0.07923
clinic	0.0792139
road	0.0791372
restaurant	0.0791142
cemetery	0.0790123
hall	0.0779546
factory	0.0777821
floor	0.0777413
ground	0.0774601
prison	0.0772242
arena	0.0766225
"city hall"	0.0762662
lab	0.0759785
"golf course"	0.0756062
palace	0.0752407
"public school"	0.0751104
compound	0.0741282
"police station"	0.0739556
professor	0.0737596
mansion	0.0736215
land	0.0731005
"school of medicine"	0.0727645
Warehouse	0.0727015
studio	0.0723122
estate	0.0715639
mosque	0.0713905
"office building"	0.0713508
dorm	0.0713084
lawn	0.0712617
plant	0.0712501
"business school"	0.0712326
track	0.0711355
grad	0.0711017
community	0.0704164
"West Coast"	0.0703248
"middle school"	0.0701913
shore	0.0699953
garden	0.0699871
institution	0.0699774
"shopping center"	0.0699259
Internet	0.0698648
location	0.069812
embassy	0.0695831
barrack	0.069349
theater	0.0693064
laboratory	0.0692176
camp	0.0688133
resort	0.0685517
"school district"	0.0680868
Ballpark	0.0673727
"main street"	0.0673716
playground	0.0669403
Casino	0.0668773
synagogue	0.0668705
Cathedral	0.0668301
"community college"	0.0667379
"post office"	0.0666526
sidewalk	0.0662478
"football team"	0.0656024
Tower	0.0653379
shelter	0.0653284
shop	0.0651023
web	0.0650638
alumnus	0.064815
seminary	0.0647997
border	0.0647635
room	0.0646723
temple	0.0645942
"Tiananmen Square"	0.0641821
"shopping mall"	0.0641664
premise	0.064044
bridge	0.0640408
terminal	0.0639003
court	0.0638832
continent	0.0638522
mountain	0.0638192
venue	0.0637705
avenue	0.0636835
coast	0.0636577
gym	0.0636109
auditorium	0.06329
suburb	0.062888
county	0.0628645
bookstore	0.0628295
"city center"	0.0627641
"small town"	0.0620856
waterfront	0.0620837
"polling station"	0.0620715
"street corner"	0.0620559
"basketball team"	0.0620488
market	0.0619749
stage	0.0618572
scene	0.0616083
Manhattan	0.0614343
"Times Square"	0.0613314
bus	0.0612097
branch	0.0609212
"train station"	0.0608335
Vineyard	0.0607249
countryside	0.0606505
program	0.0606309
team	0.0603123
valley	0.0603013
reservation	0.0602793
hill	0.0602494
jail	0.0601149
"private school"	0.06011
"community center"	0.059976
garage	0.0598662
Alumni	0.0597846
inn	0.0597676
bank	0.0597589
Monastery	0.0597319
lake	0.0595272
sanctuary	0.0595206
job	0.0593364
gallery	0.0589745
club	0.0589567
network	0.0588492
"nursing home"	0.058792
block	0.0587328
Broadway	0.0586783
memorial	0.0584852
"theme park"	0.0583463
"apartment building"	0.0582526
intersection	0.0580048
earth	0.0577574
peninsula	0.0577438
monument	0.0576773
capital	0.0570621
courtroom	0.0570557
region	0.05699
academy	0.056951
clubhouse	0.0568534
gymnasium	0.0567707
dock	0.0567706
territory	0.0567685
subdivision	0.0567127
project	0.0565793
system	0.0565432
"primary school"	0.0564827
state	0.0564129
"amusement park"	0.0563162
))
(Camry (desc 3049.62) (sims
"Toyota Camry"	0.22349
Passat	0.150094
Lexus	0.122133
Alero	0.11886
impala	0.118001
Maxima	0.111425
"Ford Taurus"	0.100585
Acura	0.0994463
subcompact	0.0982868
Prius	0.0964094
DeVille	0.0940153
Jetta	0.0902221
Taurus	0.086215
Sedan	0.0860306
S@@	0.0816535
midsize	0.0796818
hatchback	0.0790388
V-@	0.0783029
Buick	0.0782581
Corolla	0.0745943
Audi	0.0725538
Citroen	0.0712747
C@@	0.0702894
"Honda Civic"	0.0702216
"New Beetle"	0.0700524
Mercedes-Benz	0.0693926
minivan	0.067242
Avalon	0.0668122
Mercedes	0.0663604
BMW	0.0658062
Skoda	0.0652011
Mustang	0.0648456
V@@	0.0647248
Coupe	0.064624
Toyota	0.0639367
corvette	0.0627638
a@	0.0622963
Cadillac	0.0621543
"Ford Focus"	0.0612668
civics	0.0610482
V@	0.0605875
sonata	0.0605689
four-cylinder	0.0605166
Silverado	0.0602752
"Audi A@"	0.059852
"Mercedes Benz"	0.0598224
Saturn	0.0594576
nt	0.059176
"Pentium III"	0.0575183
Volvo	0.0573385
"Ford Expedition"	0.0568603
"Palm III"	0.0561232
"Toyota Corolla"	0.0560941
Infiniti	0.0557283
"Chevrolet Suburban"	0.0556266
convertible	0.0550639
sable	0.0546636
GT	0.0544348
SUV	0.0538276
Honda	0.0534707
WINDSTAR	0.0534175
Glock	0.0529074
"Windows @.@"	0.0526835
se	0.0506631
"Land Cruiser"	0.0504232
"Jeep Grand Cherokee"	0.0497025
"Ford Explorer"	0.0496623
Opel	0.0491065
"Mac OS"	0.0487578
G@@	0.0482071
two-seater	0.048055
Bentley	0.047755
S-@@	0.0474099
"Honda Accord"	0.0473426
Chrysler	0.0472053
"pickup truck"	0.0471802
"laser printer"	0.0471522
V-@@	0.0467838
"Iraqi National Congress"	0.0467427
RealPlayer	0.045615
Saab	0.0455642
Powerbook	0.0452655
Porsche	0.0450615
Humvee	0.0449194
"sports car"	0.0445877
Stratus	0.0445312
Solaris	0.0443502
"Pentium II"	0.0442793
M@	0.0442718
"three pitchers"	0.0440748
four-door	0.0439011
"Outlook Express"	0.0435531
"executive program"	0.0435168
"Princess Mononoke"	0.0432079
Isuzu	0.0427429
Mazda	0.0426282
turboprop	0.0424397
es	0.042286
Thunderbird	0.0422311
neon	0.0421432
Peugeot	0.0420547
gearbox	0.0419917
ADSL	0.0419396
"fuel cell"	0.0418801
WordPerfect	0.0413762
"picture tube"	0.0411719
Buicks	0.0411167
IE	0.0407844
TT	0.0404752
"station wagon"	0.0403053
"Land Rover"	0.0402697
minivans	0.0401082
Celica	0.0400483
))
("Camryn Manheim" (desc 1761.87) (sims
"Dylan McDermott"	0.0957249
"Catherine Deneuve"	0.0927436
"Calista Flockhart"	0.087743
"Sophia Loren"	0.0846992
"Dharma &AMP; Greg"	0.0799827
"Sharon Stone"	0.0757442
"Claire Danes"	0.0724057
"Janet McTeer"	0.0705742
"Mia Farrow"	0.0704261
"Natasha Richardson"	0.0679384
"Geena Davis"	0.0676949
"Cosby Show"	0.0661705
"JOHN TURTURRO"	0.0653983
"Winona Ryder"	0.0636275
"Jane Fonda"	0.0631427
"Angela Bassett"	0.0631265
"Ashley Judd"	0.062917
"Gwyneth Paltrow"	0.0622716
"Glenn Close"	0.0615497
"Uma Thurman"	0.0606809
"Kathy Bates"	0.0606235
"Halle Berry"	0.0601668
"Anne Heche"	0.0597422
"Carmen Electra"	0.0596293
"Elizabeth Hurley"	0.0578919
"Jennifer Lopez"	0.057221
"Vanessa Redgrave"	0.0567692
"David Duchovny"	0.0562036
"Elizabeth Taylor"	0.0558988
"Brooke Shields"	0.055113
"Cybill Shepherd"	0.0548934
"Salma Hayek"	0.0541163
"Vanessa Williams"	0.0532569
"Michelle Pfeiffer"	0.0521192
"Audra McDonald"	0.0513612
"Whoopi Goldberg"	0.0511568
"Kelsey Grammer"	0.050918
"Penelope Cruz"	0.0508457
"Jennifer Love Hewitt"	0.0505785
"James Cromwell"	0.0504231
"Sarah Michelle Gellar"	0.0501963
"Albert Brooks"	0.0501517
"Jennifer Aniston"	0.0500143
"Cameron Diaz"	0.0497541
Paltrow	0.0496163
Linus	0.0490722
"Susan Sarandon"	0.0489843
"Sarah Jessica Parker"	0.0486556
"Jodie Foster"	0.0486453
"Helen Hunt"	0.0484827
"A.P Indy"	0.0476675
"Golden Age"	0.0476459
"Kevin Spacey"	0.0475212
"Faye Dunaway"	0.0474937
artificiality	0.0468345
"Billy Bob Thornton"	0.0465081
"Lauren Bacall"	0.0463483
"Marlene Dietrich"	0.0456083
Soyinka	0.0448521
"Peter Fonda"	0.0444905
"Hilary Swank"	0.0443452
"Judi Dench"	0.0440154
"Joe Gibbs"	0.0436065
PITTS	0.0431163
"Drew Carey Show"	0.0427516
"Suddenly Susan"	0.0426072
rethinking	0.0418252
"Chris Cooper"	0.0415995
"Keri Russell"	0.0415394
LIMEY	0.0414697
"Alfre Woodard"	0.0409381
"Gary Sinise"	0.0408096
"Reese Witherspoon"	0.0403854
"Melanie Griffith"	0.0402283
"Holly Hunter"	0.0401548
Snoopy	0.040128
))
(Camus (desc 1303.38) (sims
Dostoyevsky	0.0914589
Kafka	0.0877618
"Lillian Hellman"	0.0788096
Woolf	0.0732825
Chekhov	0.066864
Nietzsche	0.0622573
MACHIAVELLI	0.0582015
Croft	0.0579886
Sartre	0.0569873
Tolstoy	0.0558622
Beauvoir	0.0546795
Blum	0.0542341
Sayles	0.0536978
Rousseau	0.0528004
"Norman Mailer"	0.052321
"Frank McCourt"	0.0509636
Saramago	0.050959
Nabokov	0.0508383
Proust	0.0500951
"Raymond Chandler"	0.0498029
Chappell	0.0497727
Whitehead	0.0489471
"De Palma"	0.0484217
Horace	0.0473393
"time clock"	0.0463656
Grisham	0.0460776
Poe	0.0459849
McMurtry	0.0448606
Mortimer	0.0445788
Lenin	0.0443499
Walden	0.0441966
"Graham Greene"	0.044166
Aron	0.0435672
Plato	0.043438
"Starr Report"	0.043311
amis	0.0423902
Faulkner	0.0423422
Menchu	0.041582
Siazon	0.0410279
))
(can (desc 101666) (sims
bottle	0.133193
container	0.1097
bag	0.0967897
jar	0.0933928
doe	0.0931485
want	0.0921209
box	0.089855
carton	0.0818007
pot	0.080872
bucket	0.0799434
cup	0.0794874
will	0.0772781
glass	0.0762559
crate	0.0723768
bowl	0.0718566
thing	0.071057
Tin	0.0706431
enough	0.0701228
jug	0.0694146
canister	0.0681321
something	0.0666822
tray	0.0645258
all	0.0644596
while	0.064251
anything	0.0639354
dish	0.0638788
tube	0.063486
package	0.063205
food	0.0629796
suitcase	0.0627741
Beer	0.0625312
product	0.0623269
money	0.0615251
cloth	0.0615037
it	0.0611998
machine	0.0610886
no	0.0608568
piece	0.0607935
guy	0.060195
some	0.0601733
people	0.0596745
drink	0.0595082
need	0.0591594
these	0.0588514
remains	0.058851
car	0.0588482
plate	0.058823
well	0.0587358
cooler	0.0586941
thought	0.0586673
barrel	0.0582482
card	0.0582245
everything	0.0580569
saying	0.0577818
book	0.0576366
material	0.057608
anytime	0.0574854
right	0.0571443
item	0.0570551
bad	0.0570071
stick	0.0566367
ball	0.0566273
sack	0.0565449
amount	0.0565164
object	0.0564757
water	0.0563967
system	0.0563132
tank	0.0561369
gun	0.0559438
stuff	0.0558883
pack	0.0557417
Computer	0.055604
means	0.0555838
tool	0.0555526
soda	0.0555056
brand	0.0554885
pan	0.0554172
wrong	0.0553945
equipment	0.0553214
lot	0.0553033
cigarette	0.0552606
much	0.0549852
any	0.0548973
plastic	0.0546084
doing	0.0545983
trash	0.0545343
wallet	0.0543001
packet	0.0541454
shoe	0.0541333
kind	0.0539765
case	0.0539671
"soft drink"	0.0539447
nothing	0.0537248
supply	0.053679
this	0.0536324
paper	0.0536036
ones	0.0535965
tire	0.0535737
ok	0.0533955
truck	0.0533092
life	0.0533054
many	0.0530831
battery	0.0529527
someone	0.052904
egg	0.0527133
device	0.0525596
pipe	0.0525153
you	0.0524262
sheet	0.0521649
bit	0.0521291
kid	0.052019
man	0.051975
solution	0.0518673
wine	0.0518287
envelope	0.0515716
gallon	0.0515311
problem	0.0515177
"no one"	0.0514672
quantity	0.0512896
meat	0.051271
they	0.0512559
leaf	0.0512128
person	0.0511905
meal	0.0511314
word	0.0510574
hand	0.0510472
body	0.0509995
business	0.0509181
briefcase	0.0508756
experience	0.0507625
anyone	0.0506746
label	0.0504773
way	0.0504764
type	0.0504136
sample	0.0504066
option	0.0503484
chance	0.0503398
two	0.0503381
how	0.050326
candy	0.0502778
basket	0.0501883
safe	0.0501827
hope	0.0500995
refrigerator	0.0500931
power	0.0500914
program	0.0500879
slice	0.0500116
blanket	0.0499494
information	0.0498762
pill	0.0498588
either	0.0497995
toy	0.049583
bar	0.0495747
question	0.0495292
paint	0.0494726
line	0.0494271
those	0.0493822
worth	0.0493294
somebody	0.0493082
step	0.0492095
tape	0.0491293
everyone	0.0491052
market	0.048946
window	0.0489283
vehicle	0.0489139
company	0.0488893
weapon	0.0487919
Clothing	0.0487287
disk	0.0486286
juice	0.048614
CD	0.0485983
nowadays	0.0485515
soup	0.0485438
fruit	0.0485389
fish	0.0485033
PC	0.0484583
ticket	0.0484202
technology	0.0483761
tomato	0.0483296
button	0.0483104
structure	0.0483048
Garbage	0.048265
chicken	0.0481558
camera	0.0481304
folk	0.0481058
document	0.0480811
milk	0.0477637
phone	0.0477551
helping	0.0477487
fun	0.0477132
lie	0.0476249
model	0.0476209
cooky	0.047586
consumer	0.0475657
software	0.0474665
Coin	0.0474427
bill	0.0473984
saw	0.0473354
sandwich	0.0473286
world	0.0472949
))
("can opener" (desc 1510.49) (sims
gearbox	0.0855746
"outside mirror"	0.0809365
toothbrush	0.0808472
toaster	0.080521
"space heater"	0.0792123
"gas stove"	0.0765555
brassiere	0.0737763
"first-aid kit"	0.073181
"canned goods"	0.0689807
"coffee maker"	0.067887
grinder	0.0675868
"sliding door"	0.067017
shifter	0.066179
phonograph	0.0653455
scissors	0.0645257
capacitor	0.0624646
"kitchen appliance"	0.0594171
videogames	0.0580969
"canned food"	0.0579322
detonator	0.0562266
alternator	0.0554227
"kerosene lamp"	0.0553205
mower	0.0550407
scrubbing	0.0550063
shaver	0.0549067
"lawn mower"	0.0548183
dishwasher	0.0545837
vibrator	0.0543594
"safety belt"	0.0539787
plunger	0.0539274
razor	0.0531461
screwdriver	0.0524932
altimeter	0.0523972
trolley	0.0523751
subwoofer	0.0523403
"fresh food"	0.0521027
"false imprisonment"	0.0518724
defroster	0.0516848
"weather vane"	0.0510578
"shock therapy"	0.0509133
comforts	0.0507519
scalpel	0.050673
"baseball bat"	0.0505959
Pacifier	0.0498091
adapter	0.0495767
dryer	0.0495704
"propulsion system"	0.0493342
trimmer	0.0491596
"household appliance"	0.0489826
disconnection	0.0488378
"alarm system"	0.0484619
"water heater"	0.0483833
"circuit board"	0.0481407
birdbath	0.048004
toiletry	0.0478032
"cigarette butt"	0.0475432
"electric motor"	0.0471222
"wind tunnel"	0.0466982
"Wyatt Earp"	0.0463394
"windshield wiper"	0.0462516
GRIDDLE	0.0462129
wattage	0.0454473
Walkman	0.0451074
gizmo	0.0450385
"dried fruit"	0.044724
"boxing glove"	0.0447136
"right of way"	0.0445897
yo-yo	0.044486
triangulation	0.0442972
cooker	0.0441799
"sewing machine"	0.0441055
chainsaw	0.0440718
crusher	0.04374
FireWire	0.0437143
vasectomy	0.0437009
prosthesis	0.0435281
"telephone exchange"	0.0432015
"word of advice"	0.0430443
"Trojan Horse"	0.0430026
zinger	0.0428616
"weather map"	0.0427324
floppy	0.0419966
beater	0.0419792
defibrillators	0.0418995
"pocket watch"	0.0417617
pointer	0.0416514
"ball bearing"	0.0416026
diode	0.0415182
"birthday card"	0.0414022
"power cable"	0.041382
pylon	0.0410888
"optical fiber"	0.041081
mixer	0.0410761
dispenser	0.0410523
wristband	0.0409881
"circuit breaker"	0.0406711
"shock absorber"	0.0405808
blower	0.0405234
"alarm clock"	0.040325
sunroof	0.0402137
canard	0.0401918
Margarita	0.040113
))
(Canada (desc 143958) (sims
Australia	0.246194
Mexico	0.228885
Germany	0.222488
Japan	0.222014
"United States"	0.218889
Italy	0.217555
"South Africa"	0.215173
Brazil	0.214672
"South Korea"	0.212834
Britain	0.20547
Argentina	0.205402
France	0.20521
Spain	0.202865
Thailand	0.198579
Poland	0.198181
Switzerland	0.197389
Sweden	0.197003
"New Zealand"	0.196663
Norway	0.194633
Finland	0.194097
Russia	0.189102
Malaysia	0.188697
China	0.187771
Netherlands	0.187386
Hungary	0.18608
Belgium	0.183577
Denmark	0.181759
India	0.180857
Cuba	0.180006
Romania	0.175458
Austria	0.17318
Ukraine	0.17287
Singapore	0.172421
Greece	0.169473
Colombia	0.168703
Egypt	0.167021
Chile	0.166729
Ireland	0.165989
Venezuela	0.165272
"Saudi Arabia"	0.164095
Portugal	0.163742
Bulgaria	0.162231
Peru	0.16189
"United Kingdom"	0.158391
England	0.156107
Indonesia	0.155875
Iran	0.154274
Uruguay	0.153389
Jamaica	0.152682
Europe	0.15204
Panama	0.150203
Nigeria	0.149945
Pakistan	0.14895
country	0.148704
Croatia	0.148316
Kenya	0.147661
"Costa Rica"	0.147642
Philippines	0.147035
"Hong Kong"	0.145169
Turkey	0.144982
Zimbabwe	0.144217
Ecuador	0.143297
Vietnam	0.143219
Kazakhstan	0.142799
"Sri Lanka"	0.142275
"Czech Republic"	0.142031
Lithuania	0.14196
Iceland	0.138994
Tunisia	0.138323
Morocco	0.136582
Israel	0.136511
Slovakia	0.135812
Guatemala	0.134815
"Republic of Korea"	0.131892
Ghana	0.131301
Paraguay	0.130822
Slovenia	0.130587
Scotland	0.13048
Nicaragua	0.13013
Algeria	0.129283
"North America"	0.128492
"Dominican Republic"	0.128164
Bangladesh	0.127808
"Puerto Rico"	0.127301
Yugoslavia	0.126831
Luxembourg	0.12643
Bolivia	0.12598
Kuwait	0.125639
Belarus	0.125201
"Great Britain"	0.124812
Taiwan	0.124468
"European country"	0.124412
Georgia	0.12341
U.S.	0.123241
Africa	0.122626
"United Arab Emirates"	0.122624
Mongolia	0.121926
Namibia	0.120898
Zambia	0.120574
Uzbekistan	0.12044
Nepal	0.120217
Latvia	0.120004
Ethiopia	0.118425
California	0.118003
America	0.11755
Honduras	0.11664
Asia	0.116605
Cambodia	0.116471
Uganda	0.116175
Tanzania	0.116148
nation	0.115839
Oman	0.115169
Qatar	0.114979
Libya	0.114624
Angola	0.11395
Mozambique	0.11386
"El Salvador"	0.113598
Myanmar	0.113311
"Latin America"	0.113291
Korea	0.112087
Florida	0.111475
"New York"	0.111061
"South America"	0.110233
Holland	0.109982
Texas	0.109771
Estonia	0.109216
Syria	0.10913
Albania	0.10904
Fiji	0.108625
Senegal	0.108472
Brunei	0.108232
Jordan	0.107867
"North Korea"	0.107529
"Papua New Guinea"	0.107109
"The Netherlands"	0.106746
Washington	0.104411
Bahrain	0.104294
Iraq	0.103228
state	0.103207
region	0.103106
"New Jersey"	0.10295
Quebec	0.10291
Sudan	0.102288
BEIJING	0.102241
"Trinidad and Tobago"	0.101835
Macedonia	0.101806
Bahamas	0.101801
Malta	0.101688
Alaska	0.101192
Yemen	0.100733
Lebanon	0.100583
Botswana	0.100391
Arizona	0.100314
Cyprus	0.100255
UK	0.0999902
Haiti	0.0998335
"Western Europe"	0.0994483
Laos	0.0991678
"European Union"	0.0990096
ROK	0.0990048
Armenia	0.0986975
Moldova	0.0986968
EU	0.098359
Azerbaijan	0.0975127
mainland	0.0973861
Shanghai	0.0970028
"British Columbia"	0.0964754
"New England"	0.0964054
Barbados	0.0963877
"Asian country"	0.0963312
Cameroon	0.0961397
Hawaii	0.0960363
Moscow	0.095628
"Soviet Union"	0.0942302
"Los Angeles"	0.0932623
"Chinese Taipei"	0.0923904
"African country"	0.0923011
Republic	0.0922106
Macao	0.0913321
"North Carolina"	0.0913147
LONDON	0.0912075
UAE	0.0911727
"Southeast Asia"	0.0899744
Atlanta	0.0894265
Mauritius	0.089186
Ontario	0.0887704
Mali	0.0885073
Afghanistan	0.0883075
Massachusetts	0.0882078
Kazakstan	0.0879177
Caribbean	0.0876814
Minnesota	0.087542
"Asian nation"	0.0875165
Guyana	0.0874135
"San Francisco"	0.0873435
Virginia	0.0873095
Connecticut	0.0870659
province	0.0867168
Wales	0.0864036
Taipei	0.0859672
))
(Canadian (desc 39363.1) (sims
Australian	0.144931
German	0.143631
Filipino	0.143051
American	0.14233
"New Zealander"	0.141417
Russian	0.138408
Briton	0.138165
Mexican	0.136487
Italian	0.133652
Brazilian	0.129775
Norwegian	0.129726
Austrian	0.125814
Japanese	0.125703
Swiss	0.124881
"South African"	0.121891
Indonesian	0.121036
Malaysian	0.120796
Kenyan	0.117492
Colombian	0.116825
Belgian	0.116457
Iranian	0.11614
Romanian	0.115726
citizen	0.114843
foreigner	0.114174
Chinese	0.113576
Cuban	0.113446
"South Koreans"	0.11291
Jordanian	0.112453
Thai	0.112378
European	0.112228
Californian	0.111517
British	0.111345
Vietnamese	0.109773
Hungarian	0.10872
Spaniard	0.107207
Ukrainians	0.106619
Argentine	0.106595
Cambodian	0.106498
Egyptian	0.103787
Nigerian	0.103635
Bulgarian	0.103297
Peruvian	0.102815
Koreans	0.102675
Swede	0.102327
French	0.101541
Taiwanese	0.101379
Pakistani	0.100121
Chilean	0.100021
Zimbabwean	0.0999334
Lebanese	0.09905
Haitian	0.0989697
Turk	0.0988974
Singaporean	0.0982431
Georgian	0.0980349
Israeli	0.0973808
Indian	0.0972497
Texan	0.0958949
Iraqi	0.095401
tourist	0.0944273
Dutch	0.0943711
national	0.0937944
Angolan	0.0937799
Mozambican	0.0902143
Ethiopian	0.0897557
African	0.0890251
resident	0.0889861
Finn	0.0888427
"Sri Lankans"	0.0888024
Frenchman	0.0877855
Venezuelan	0.08668
Czech	0.0865372
Tanzanian	0.0865299
Hispanic	0.0861596
Dane	0.0860781
Bangladeshi	0.0858398
businessmen	0.0855324
farmer	0.0854411
Ugandan	0.0845722
Zambian	0.0840105
Portuguese	0.0837146
Algerian	0.0836376
Nepalese	0.0835717
Saudi	0.0833801
Moroccan	0.0832661
Sudanese	0.0832399
Nicaraguan	0.0826599
Greeks	0.0823893
African-American	0.0819663
consumer	0.0819403
Kuwaiti	0.0815049
Frenchmen	0.0813467
Asian	0.081208
"New Yorker"	0.0812015
Syrian	0.0808166
Irish	0.0805329
Jew	0.0800421
woman	0.0794068
individual	0.0792123
visitor	0.0787477
Jamaican	0.0787281
worker	0.0786831
"college student"	0.0784044
"Puerto Rican"	0.0783119
investor	0.0782294
student	0.0782011
immigrant	0.0781068
"New Englander"	0.077583
Palestinian	0.0770902
Beijingers	0.0768329
Afghan	0.0767994
Dominican	0.0767303
"North Koreans"	0.0752269
Panamanian	0.0750904
voter	0.0748824
Latino	0.0746012
Guatemalan	0.0745989
customer	0.0737009
diplomat	0.0736121
U.S.	0.073274
traveler	0.073162
scientist	0.0730835
adult	0.0727188
local	0.0720006
Swedish	0.0718029
Cypriot	0.0715324
person	0.0712087
homeowner	0.0711202
Fijian	0.0709983
Yugoslav	0.0708414
youngster	0.0708147
westerner	0.0706875
Greek	0.0706712
Reader	0.070483
Salvadoran	0.0704151
"Sierra Leonean"	0.0702017
Scots	0.0699774
"South Korean"	0.0699655
journalist	0.0694316
senior	0.0691183
Liberian	0.0689649
Tibetans	0.0688454
inmate	0.0687966
Finnish	0.0685965
smoker	0.0684078
Somali	0.0683922
entrepreneur	0.0683412
user	0.0681901
lawmaker	0.0681825
"military personnel"	0.0679924
applicant	0.0679569
"senior citizen"	0.0678732
household	0.0678549
prisoner	0.0677665
athlete	0.0676881
taxpayer	0.0676845
Spanish	0.0676672
Fishermen	0.067527
employee	0.0674184
laborer	0.0673264
doctor	0.0672089
migrant	0.0671022
inhabitant	0.0670437
participant	0.066623
Congolese	0.0665066
Namibian	0.066464
black	0.066352
Korean	0.0661946
Yemeni	0.0658488
Muscovite	0.0658456
Albanian	0.0657351
trader	0.0657339
swimmer	0.065722
passenger	0.0655604
"North American"	0.0654192
parent	0.0653649
Floridian	0.0653291
"union member"	0.0651828
Honduran	0.0651476
member	0.0651032
shopper	0.0650355
Eritrean	0.065008
child	0.0649887
Iowan	0.0649804
Turkish	0.0649494
Arab	0.0649268
Laotian	0.0647555
politician	0.0647054
retiree	0.0646364
patient	0.0646134
Croats	0.0645697
soldier	0.0644635
spectator	0.0641871
servicemen	0.0640225
policyholder	0.0640172
listener	0.0639464
Serbs	0.0639175
Danish	0.0638689
fan	0.0637642
viewer	0.0637128
Bosnians	0.0637115
))
("Canadian Airlines" (desc 2248.65) (sims
"Virgin Atlantic"	0.221245
"Japan Airlines"	0.146798
Qantas	0.143268
Iberia	0.138622
"Singapore Airlines"	0.13637
"British Airways"	0.135194
"Cathay Pacific"	0.117172
"GTE Corp."	0.114547
Lufthansa	0.113603
Swissair	0.112878
"Telecom Italia"	0.112215
"Cathay Pacific Airways"	0.11198
Ansett	0.11091
Comsat	0.108999
"Air New Zealand"	0.106622
"USA Networks"	0.106447
"US Airways"	0.104314
"American Home Products"	0.100811
Dragonair	0.100614
"Air Canada"	0.0989845
WebMD	0.0985701
"Bankers Trust Corp."	0.0983042
"U.S. Trust"	0.097803
"Gulf Air"	0.0974155
Petrofina	0.0972453
"United Airlines"	0.0971333
EarthLink	0.09705
ENTERGY	0.0967911
"McDonnell Douglas"	0.0963103
"Delta Air Lines"	0.0942004
"Bay Networks"	0.0938845
"Societe Generale"	0.093125
"Global Crossing"	0.0927167
"Sprint Corp."	0.0918391
GTE	0.0910641
"Netscape Communications Corp."	0.0900137
Qwest	0.0889235
Norwest	0.0885243
NatWest	0.0881598
"Bell Atlantic Corp."	0.0881494
"U S West"	0.0879485
Warner-Lambert	0.0879008
Comcast	0.0877031
"South African Airways"	0.0875671
"Fred Meyer"	0.0872349
KLM	0.0869486
AIG	0.0834918
Mannesmann	0.082662
"Northwest Airlines"	0.0804093
GeoCities	0.0800463
"Kenya Airways"	0.0794874
Airtouch	0.0790808
"Malaysia Airlines"	0.0789353
"Mannesmann AG"	0.0781988
Amoco	0.0776158
"America West"	0.0774927
"Vodafone Airtouch PLC"	0.0772397
"Deutsche Telekom"	0.0772166
"KLM Royal Dutch Airlines"	0.076827
COLTEC	0.0765444
Mobil	0.0761858
Varig	0.0761152
MCI	0.0761142
Conrail	0.0759711
Scania	0.0759652
"Continental Airlines"	0.0759055
Vodafone	0.0751629
"Pfizer Inc."	0.0749784
WorldCom	0.0749695
"Lycos Inc."	0.074737
Monsanto	0.0746149
"Thermo Electron"	0.0744979
Viacom	0.0744818
ExciteAtHome	0.0743828
"Phelps Dodge"	0.0737989
Healtheon	0.0736963
"Times Mirror Co."	0.0736248
PRIMESTAR	0.0733009
"American Airlines"	0.0729956
Stratus	0.0729857
Infoseek	0.0729802
"Air China"	0.0729701
"Rite Aid"	0.0727434
RJR	0.072427
Ameritech	0.0720505
"Chrysler Corp."	0.0717684
"Atlantic Richfield Co."	0.0716032
"Bell Atlantic"	0.0714723
"Time Warner"	0.0714501
"Orange PLC"	0.0714308
Lycos	0.0704579
Airbus	0.0702812
"Niagara Mohawk"	0.0702566
Vivendi	0.0695967
"American Home"	0.0690724
"Travelers Group"	0.0687666
"Hongkong Telecom"	0.0686662
AIRTRAN	0.0685666
Bestfoods	0.0684906
Peapod	0.0684889
UAL	0.0682267
BofA	0.0674272
BankAmerica	0.0674057
"Deutsche Bank"	0.0672903
Paribas	0.0670304
VoiceStream	0.0663791
"Atlantic Richfield"	0.0659064
GPU	0.0658727
"British Aerospace"	0.065794
continental	0.0651702
Exxon	0.0648682
Railtrack	0.0647367
REIT	0.0647128
"Times Mirror"	0.0645926
Olivetti	0.0644723
Scripps	0.0642888
TCI	0.0637064
Transamerica	0.0635157
Avis	0.0634748
LTCB	0.0634612
MindSpring	0.0634571
ACB	0.0631372
"Frontier Corp."	0.0629763
Walgreen	0.062963
"Wine Institute"	0.0627859
"MCI WorldCom"	0.0627838
Primedia	0.0627168
"Alaska Airlines"	0.0626689
ARCO	0.0624696
"American Home Products Corp."	0.0621099
"Netscape Communications"	0.0619759
"Inkatha Freedom Party"	0.0618248
"Mobil Corp."	0.0615644
"Nippon Credit"	0.0609998
"Coca-Cola Co."	0.0609559
WPP	0.0609246
CitySearch	0.0609031
"Advanced Micro Devices"	0.0608729
crematorium	0.0608419
"Hearst Corp."	0.0607656
ITT	0.0606818
"Dell Computer"	0.0605284
"Waste Management"	0.0604864
RealNetworks	0.0601599
Medtronic	0.0600873
Asda	0.0600857
Alitalia	0.0600209
"Global Crossing Ltd."	0.0595464
SAirGroup	0.0594742
"Toys R Us"	0.0592133
AHP	0.0591577
EMC	0.0590846
Volvo	0.0589394
BCE	0.0589093
"Deutsche Bank AG"	0.0587966
Telefonica	0.0587918
"Boston Scientific"	0.0584384
"Computer Associates"	0.0584273
Pepsico	0.0584032
"France Telecom"	0.0582927
Chrysler	0.058281
Asarco	0.0582158
BankBoston	0.0580754
Biogen	0.0580412
Rolls-Royce	0.0580043
"Monsanto Co."	0.0578912
"WorldCom Inc."	0.0578837
"Gap Inc."	0.0576953
Autodesk	0.0575967
Litton	0.0575966
"Bank of Scotland"	0.0575778
AGL	0.0575105
"National Grid"	0.0575063
Airlines	0.0574654
Barnesandnoble.com	0.0574555
E-LOAN	0.0574295
SDL	0.0573943
Mediaone	0.0573512
XYLAN	0.057247
Aetna	0.057091
Cisco	0.0569898
"London Stock Exchange"	0.0569157
"Northeast Utilities"	0.0568998
Nortel	0.0568033
"Thai Airways"	0.0567515
"Bank of Japan"	0.0567491
"Air Lanka"	0.0566259
"Vodafone AirTouch"	0.0564342
Citicorp	0.0564005
Nextel	0.0559733
Checkfree	0.0559427
"Enron Corp."	0.0558328
VENATOR	0.0558266
Healtheon/WebMD	0.0558101
"Delta Airlines"	0.0557494
Conoco	0.0556965
"Cisco Systems Inc."	0.0556623
Webvan	0.055661
Livent	0.0556008
"Dell Computer Corp."	0.0553924
))
("Canadian Alliance" (desc 1077.34) (sims
"Democratic Left"	0.217914
"United Malays National Organization"	0.190034
"National League for Democracy"	0.17951
"National Action"	0.178429
Lakas	0.177802
"United Democratic Movement"	0.176505
"Christian Democratic Union"	0.174502
"Barisan Nasional"	0.170562
"Center Party"	0.169094
"Freedom Union"	0.166454
Lakas-NUCD	0.159574
"Zimbabwe African National Union-Patriotic Front"	0.159087
"National Democratic Alliance"	0.157202
"Nepali Congress"	0.156991
"New Democracy"	0.156952
PDP	0.15565
"Democrat Party"	0.155208
"National Religious Party"	0.145033
"United National Party"	0.143359
PASOK	0.141083
Zanu-pf	0.139428
"Kenya African National Union"	0.138773
center-right	0.137081
"Democratic Alliance"	0.136025
"National Alliance"	0.135019
Yabloko	0.1347
"Christian Social Union"	0.133883
SDS	0.133292
"Pakistan Muslim League"	0.132277
FRELIMO	0.129053
SDLP	0.127619
"Chart Pattana"	0.124957
"Awami League"	0.123683
"Free Democratic Party"	0.123081
UNIP	0.122386
"Likud Party"	0.121525
"Islamic Salvation Front"	0.121364
"Islamic Movement"	0.120745
"popular front"	0.120511
Golkar	0.118755
"National Front"	0.118351
"Janata Dal"	0.11759
Fatah	0.117517
"Ulster Unionists"	0.117304
"Civic Democratic Party"	0.116376
"Democratic Progressive Party"	0.116189
royalist	0.11427
"NZ First"	0.111763
CDU	0.111723
Renamo	0.111422
"Patriotic Union of Kurdistan"	0.11072
"Socialist Party"	0.1094
"United National Independence Party"	0.109369
Likud	0.108931
UML	0.108866
"New Aspiration Party"	0.108463
"Kurdish Workers Party"	0.108428
"Ulster Unionist Party"	0.107965
"Serbian Renewal Movement"	0.107835
CCM	0.10783
"Democratic Unionists"	0.107504
coming-out	0.106735
SDMI	0.106631
"Union of Right Forces"	0.10635
UNP	0.106101
"National Party"	0.105122
MPLA	0.104468
"Operation Rescue"	0.10443
UMNO	0.104331
Jamaat-e-Islami	0.10407
CPN-UML	0.103405
Gesher	0.103341
"Liberal Party"	0.103266
BJP	0.10324
"Herri Batasuna"	0.103173
"United Liberal Democrats"	0.102464
FUNCINPEC	0.101762
PPP	0.101397
"Democratic Unionist Party"	0.10122
PDI	0.100407
"Labour Party"	0.100125
PML-N	0.09988
"Parti Quebecois"	0.0996284
"International Society"	0.0995561
RPP	0.0995447
"Democratic Action"	0.0990593
Shas	0.0990042
"People's Democratic Party"	0.0988293
SDP	0.0982953
"Meretz Party"	0.0981199
Hezb-i-Islami	0.0978373
"Independence Party"	0.0975886
"District Council"	0.0971198
CPP	0.0971069
NDP	0.0969324
"Ulster Unionist"	0.0968053
SPS	0.0967228
"Rwandan Patriotic Front"	0.0962688
"Democratic Convention"	0.0961492
"Vietnamese Communist Party"	0.0960227
Meretz	0.0959973
"Serbian Radical Party"	0.0959562
"Democratic Revolution"	0.0957008
NRM	0.0955832
UDF	0.0953904
NDA	0.0946185
"Freedom Front"	0.094029
"Radical Party"	0.0937652
"New Zealand First"	0.0935191
PCF	0.09308
"Liberation Front"	0.0929066
"Christian Democrat"	0.0928104
"Congress Party"	0.0921595
PML	0.0918102
"Institutional Revolutionary Party"	0.0916213
"Nationalist Party"	0.0912768
MRTA	0.0907157
"African National Congress"	0.0905137
Tory	0.0904593
NP	0.0903711
FORD-Kenya	0.0897648
"Bangladesh Nationalist Party"	0.0897427
"Christian Democrats"	0.0897424
"Russian Communist Party"	0.0895975
"football league"	0.0892595
"Republican House"	0.0889403
ZANU	0.0889124
HDZ	0.0887992
"Popular Party"	0.0887874
"National Democratic Party"	0.0879027
"Banking Committee"	0.0869248
"Virtue Party"	0.0868577
"Bharatiya Janata Party"	0.0867262
NLD	0.0861168
WNBF	0.0860849
"Indonesian Democratic Party"	0.0860188
"African Union"	0.0853248
"Inkatha Freedom Party"	0.0852272
"Conservative Party"	0.0847389
"People's Party"	0.0846708
"Greek Orthodox Church"	0.0841389
BN	0.0838955
DYP	0.0837778
"Northern Ireland Assembly"	0.0834958
"Free World"	0.0834195
"New Democrats"	0.0831626
"Kurdistan Workers Party"	0.0830624
"Congressional Black Caucus"	0.0829644
"Labor Party"	0.082706
"Sam Rainsy Party"	0.0826902
fatherland	0.0825187
"New Korea Party"	0.0823828
"Islamic Jihad"	0.0817916
"US House"	0.0815638
APP	0.0814234
"Kosovo Albanian"	0.0811841
RUF	0.0808386
G-@@	0.0807115
"New National Party"	0.080316
UF	0.0801039
MMD	0.0800545
"Cambodian People's Party"	0.080013
"Colorado Party"	0.0792932
"Texas House"	0.0791108
"National Resistance Movement"	0.0790799
"Green Party"	0.0788572
RCD	0.0787576
DPR	0.0786711
"Croatian Democratic Union"	0.0785569
DAP	0.0785298
"Local @@@"	0.078417
KNU	0.078144
"Caribbean Community"	0.0781005
"international criminal court"	0.0776905
taskforce	0.0769737
"Social Democratic Party"	0.0769461
LDP	0.0767717
DSP	0.0765444
"Special Forces"	0.0763575
BNP	0.0763002
"blue angel"	0.0762471
Laban	0.0762179
"Social Democratic"	0.0761811
"United Auto Workers"	0.0761378
"Southern Democrats"	0.0760222
"National Action Party"	0.0760118
Mensa	0.0758417
Os	0.0756108
"Zapatista National Liberation Army"	0.0754974
"Nahdlatul Ulama"	0.0752911
IPU	0.0749335
Kuomintang	0.0749214
"Aryeh Deri"	0.0747169
"Christian Democratic Party"	0.0746973
UUP	0.0744332
Safina	0.0742854
CHP	0.0742833
"National League West"	0.0740839
"Russian Orthodox Church"	0.0740826
"House Republican"	0.0738917
))
("Canadian dollar" (desc 5625.3) (sims
rand	0.21742
"South Korean won"	0.208553
"Zimbabwean dollar"	0.195004
"Australian dollar"	0.19248
peso	0.179273
"New Zealand dollar"	0.175255
baht	0.173983
leu	0.173832
rupiah	0.173775
yen	0.168128
zloty	0.16261
"Kenyan shilling"	0.159952
"Philippine peso"	0.155085
won	0.154795
Naira	0.142364
"Singapore dollar"	0.137863
shilling	0.130896
"British pound"	0.1276
Euro	0.12578
rupee	0.123597
ruble	0.123225
Kwacha	0.115787
"bond price"	0.114258
currency	0.109661
"French franc"	0.108419
"Hong Kong dollar"	0.108308
greenback	0.107702
rouble	0.107656
"Mexican peso"	0.106589
Nikkei	0.102234
sucre	0.0993503
taka	0.0980135
"Nikkei Stock Average"	0.0979746
"oil price"	0.097859
"Indian rupee"	0.0966842
"Swiss franc"	0.0955561
"Straits Times Index"	0.0950286
yuan	0.0948576
dinar	0.0947488
"US dollar"	0.09368
"stock market"	0.0919028
lira	0.09037
"Philippine Stock Exchange Index"	0.0893862
STI	0.088919
franc	0.0883644
lev	0.0869524
lire	0.0867461
hryvna	0.0866923
ringgit	0.0853097
"Dow Jones Industrial Average"	0.0851811
"equity market"	0.0819369
"Straits Times Industrials Index"	0.0811441
"bond market"	0.0805674
"CAC @@"	0.0796243
"water table"	0.0795293
"futures price"	0.07899
Renminbi	0.0781335
"mortgage rate"	0.0763852
"Xetra Dax"	0.0762126
"FTSE @@@"	0.0756175
joblessness	0.0736517
birthrate	0.0710774
"export sale"	0.0704189
"occupancy rate"	0.0700334
"Commonwealth Bank"	0.0699828
"exchange rate"	0.0698505
Dow	0.0695519
Dong	0.0693454
"Hang Seng Index"	0.0693453
Stocks	0.0681485
"Shanghai Composite Index"	0.0680156
"discount rate"	0.0677957
sterling	0.0677406
"pound sterling"	0.0675793
caseloads	0.0670403
"Commonwealth Bank of Australia"	0.0667892
"Tokyo Stock Price Index"	0.0659678
"Deutsche Mark"	0.0659099
"gas price"	0.0656733
drachma	0.0655738
"Hang Seng"	0.0654698
"consumer demand"	0.0650576
"producer price"	0.0649238
"retail sale"	0.0648361
"selling price"	0.0643821
"truck sale"	0.0637411
"Weighted Price Index"	0.0635011
RMB	0.062805
"poverty rate"	0.0625329
"rate of inflation"	0.0624668
DAX	0.0607616
"unemployment rate"	0.0607385
"blue-chip stock"	0.0605845
sharemarket	0.0604095
"Industrial Index"	0.0603812
Nasdaq	0.0600124
PacCent	0.0599431
Bourse	0.059447
industrials	0.0592628
"operating cost"	0.0590174
BHP	0.0588938
"technology issue"	0.0586755
"SPH @@@"	0.0584492
BSE-@@@	0.0583294
Sensex	0.0582777
ridership	0.0582062
"vehicle sale"	0.0580484
"NASDAQ Composite Index"	0.0576116
"production cost"	0.0576091
Lari	0.0574761
"birth rate"	0.0565142
"factory order"	0.0563839
"National Australia Bank"	0.0563555
"crime rate"	0.0563173
"labor cost"	0.0560894
"home sale"	0.0560544
"funds rate"	0.0549136
"share price"	0.0547129
morale	0.0545247
"fertility rate"	0.0542915
"standard of living"	0.0542823
"vacancy rate"	0.0535897
Westpac	0.0531929
"market average"	0.0531367
"retail price"	0.053031
"investor confidence"	0.0529317
ANZ	0.0526764
shekel	0.0525471
"Second Board Index"	0.052444
"Wireless Optus"	0.0523357
"Composite Index"	0.0522395
HSI	0.0514741
pivotals	0.0510436
"Lion Nathan"	0.0510051
"borrowing cost"	0.0507988
bullion	0.050335
"ordinary shares"	0.0502944
"Rio Tinto"	0.0501954
sub-index	0.0500108
"Emas Index"	0.0499726
"News Corp"	0.0499414
Bovespa	0.0499077
"Fletcher Energy"	0.0498089
metical	0.0496137
"bank rate"	0.0492276
"cost of living"	0.0491228
"market condition"	0.0491192
"Producer Price Index"	0.0488626
"revenue growth"	0.0488418
"inflation rate"	0.0484615
kwanza	0.0480406
FTSE	0.048014
"Hang Seng China-Affiliated Corporations Index"	0.047747
AMP	0.0476818
"tax collection"	0.0476309
rial	0.0471226
"body temperature"	0.0470973
"Karachi Stock Exchange"	0.0470604
"pretax profit"	0.0469349
CAC	0.0467879
Bolivar	0.0466393
"operating expenses"	0.0465516
"Sensitive Index"	0.0463129
"world economy"	0.0463051
"B share"	0.0458271
"Fletcher Building"	0.045816
Kip	0.0455534
euros	0.0451855
Co.	0.0451404
ODA	0.0448936
enrollment	0.0447399
"aircraft order"	0.0445946
"tax revenue"	0.0444194
"preferred shares"	0.0444046
"trade deficit"	0.0442944
Lei	0.0440997
Zeb	0.0440819
"Fletcher Paper"	0.0440508
CRA	0.0440387
tenge	0.0439736
"Dow Jones"	0.0437298
"futures contract"	0.0437233
"net profit"	0.0437155
"water level"	0.0436144
"housing industry"	0.0434997
"labor market"	0.0434988
homeownership	0.0434202
"GE Life"	0.0431828
"voter turnout"	0.0430363
"earning per share"	0.0428736
palladium	0.0428403
"one dollar"	0.0427698
WMC	0.0427092
"Fletcher Forest"	0.0426292
caseload	0.0425457
occupancy	0.0425421
"Cisco Systems"	0.0424509
"market share"	0.0424497
"asset value"	0.0424413
pimpernel	0.0424283
))
("Canadian Football League" (desc 1528.86) (sims
"Arena League"	0.157678
"Arena Football League"	0.156561
"Continental Basketball Association"	0.142503
"Negro Leagues"	0.134558
"NFL Europe"	0.132744
"Italian League"	0.120569
CBA	0.100171
"professional baseball"	0.0987867
"American Hockey League"	0.0939014
"National Football League"	0.0876853
"Ryder Cups"	0.0852122
ABL	0.0806698
"American football"	0.0803453
"Senior Bowl"	0.0790625
"Pacific Coast League"	0.077793
"professional basketball"	0.0758045
"Little League World Series"	0.0754362
"National Hockey League"	0.0740132
"National Basketball Association"	0.0726307
IHL	0.0712885
"Pro Bowl"	0.0701913
"Big Sky Conference"	0.0698581
"big league"	0.0682472
"South Regional"	0.0679919
"NFC East"	0.0671518
"Atlantic Coast Conference"	0.0667446
ACC	0.0664608
"American Football League"	0.0660315
"National Invitation Tournament"	0.0655369
"Southeastern Conference"	0.0648868
Bundesliga	0.0643008
"World Cups"	0.0641768
"International Hockey League"	0.0641651
"Northeast Division"	0.0640351
"minor league"	0.0639447
WNBA	0.0627943
"Division I-AA"	0.0619741
"Fighting Irish"	0.0619675
AHL	0.0615956
"junior college"	0.0610717
CWS	0.0606008
Serie	0.0604378
AFL	0.0598429
"professional football"	0.0589153
"Northern League"	0.0587603
"Conference USA"	0.0560608
AFC	0.0559826
"American Basketball League"	0.0558199
"Solheim Cup"	0.0556656
"major league season"	0.0555712
"Big East"	0.0551507
ml	0.0549274
"Big Sky"	0.0548728
"Boston Garden"	0.054776
"International League"	0.0540667
"Premier League"	0.0533729
XFL	0.0533661
"Class AAA"	0.0532329
"Big @@"	0.0526666
"NCAA Tournament"	0.0525331
takeaways	0.0519698
"Western Athletic Conference"	0.0510178
"Buffalo Bills"	0.0508639
"Sunshine State"	0.0508014
NCAAs	0.05011
"AFC Central"	0.0497518
nightcap	0.0495771
two-point	0.049497
"All-Star Games"	0.0493285
"Horned Frogs"	0.0492193
"Fed Cup"	0.0488871
"basketball league"	0.0488469
"NL Central"	0.0487836
"Cactus League"	0.0480241
"poker game"	0.0478509
"Pro Bowls"	0.0477157
"Western Conference"	0.0476918
"NFC West"	0.0476641
ABA	0.0474514
"dark ages"	0.047416
ECW	0.0470105
"sugar bowl"	0.0469671
Bradenton	0.0468444
"World League"	0.0467238
"Midwest Regional"	0.0462182
"Orange Bowl"	0.0461872
"Busch Series"	0.0461416
KNU	0.04612
"little league"	0.0460368
"first six"	0.0459484
five-point	0.0455146
"Copa America"	0.0454905
"Palm Springs"	0.0454285
"Los Angeles Rams"	0.0446268
pro-am	0.0445051
"University of Oklahoma"	0.0441865
"musical theater"	0.0441028
"Super Bowls"	0.044094
"first eight"	0.0440753
Pacific-@@	0.044003
sandbox	0.0439482
punting	0.0438765
"Texas longhorn"	0.0437351
Foxborough	0.0435948
"AFC Championship Game"	0.0435747
"professional golf"	0.0435273
fact-finding	0.043241
fifth-year	0.0432404
Hendrick	0.0425874
Alamodome	0.0421827
"Green Bay Packers"	0.0421056
"World Group"	0.0420216
Philly	0.0413883
"Lincoln Center Theater"	0.0413394
"Appalachian State"	0.0412539
"Cotton Bowl"	0.0411609
WAC	0.0410992
"Nigerian capital"	0.0410424
"Stanley Cup Finals"	0.0409729
"fifth and sixth"	0.0408808
Lehigh	0.0408037
"Dallas Burn"	0.0407953
niner	0.0407443
Superdome	0.04072
"Houston Oilers"	0.0406871
"Western Conference Finals"	0.0406455
"United Republic of Tanzania"	0.0406408
"first seven"	0.0406289
Tuscaloosa	0.0406202
"toy industry"	0.0405413
one-point	0.0402196
Gainesville	0.0400112
))
("Canadian International Development Agency" (desc 1276.47) (sims
"Global Environment Facility"	0.230668
"International Development Association"	0.192917
"Agency for International Development"	0.181038
"Overseas Economic Cooperation Fund"	0.171825
"United Nations Industrial Development Organization"	0.151427
"United Nations Population Fund"	0.150398
"European Investment Bank"	0.146185
"United Nations Drug Control Program"	0.140659
"United Nations Environment Program"	0.132107
"African Development Bank"	0.129956
"State Administration of Internal Trade"	0.126415
IDB	0.124751
"Ford Foundation"	0.123312
"Inter-American Development Bank"	0.122576
"Asian Development Bank"	0.122303
"Interamerican Development Bank"	0.118561
"State Development Bank"	0.117681
"Shanghai Municipal Government"	0.116262
"U.N. Environment Program"	0.113916
"National Tourism Administration"	0.108654
"United Nations Children's Fund"	0.108106
USAID	0.105691
"Economic Commission for Africa"	0.104387
"Australian Olympic Committee"	0.102643
"Ministry of Internal Trade"	0.10252
"European Bank for Reconstruction"	0.0992737
"United Nations Development Program"	0.0985719
ADB	0.0981563
"United Nations Educational, Scientific and Cultural Organization"	0.0959518
"United Nations Conference on Trade and Development"	0.0936859
"U.S. Export-Import Bank"	0.093622
"Information Office"	0.0934743
"World Food Program"	0.0922766
"Hong Kong Federation"	0.0880221
"Export-Import Bank"	0.0879766
"World Intellectual Property Organization"	0.0858948
"International Finance Corporation"	0.0853044
UNDP	0.0841865
"U.N. Development Program"	0.0837838
"State Economic and Trade Commission"	0.0832916
"Academy of Motion Picture Arts"	0.0830181
"Ministry of Forestry"	0.0829381
"private foundation"	0.0826473
"International Labor Organization"	0.0822031
"State Administration of Cultural Heritage"	0.0821028
"Chinese Academy of Social Sciences"	0.0819055
"Food and Agriculture Organization"	0.0818558
"UN agency"	0.0798849
UNICEF	0.0791115
"Civil Aviation Administration of China"	0.0790537
"Chinese government"	0.0787359
"Rotary International"	0.0787277
"Beijing Municipal Government"	0.0766896
"Xinhua News Agency Hong Kong Branch"	0.0755162
"International Fund"	0.0754594
"China Council"	0.0748396
CCB	0.0743318
"World Meteorological Organization"	0.0738731
"National Science Foundation"	0.0738617
"National Geographic Society"	0.0738475
"Red Cross Society"	0.0737305
EBRD	0.0734629
"National Abortion and Reproductive Rights Action League"	0.0732547
EC	0.072848
"U.N. World Food Program"	0.0726288
"Olympic Council of Asia"	0.0721441
"United Nations Educational"	0.0716066
"China Youth Development Foundation"	0.0715936
SMIs	0.0712721
"China National Tourism Administration"	0.0707789
"China Association for Science"	0.070389
UNRWA	0.0694328
"NFL Players Association"	0.0689684
Eximbank	0.0688734
"China Society"	0.0683904
"George Soros"	0.0682272
"American Red Cross"	0.0679377
SDB	0.0676403
"U.N. agencies"	0.067597
"State Development Planning Commission"	0.0671767
"State Planning Commission"	0.0667723
UNESCO	0.0660772
"Ministry of Railways"	0.0657212
"Self-Defense Forces"	0.0638097
"Ministry of Science"	0.0633435
"Publicity Department"	0.0632146
IFC	0.0631884
"Association for Friendship"	0.0631781
"International Maritime Organization"	0.0629238
"Kaiser Family Foundation"	0.0628448
"General Administration of Customs"	0.062399
"Ministry of Communications"	0.0623818
"International Federation"	0.0621087
"Islamic Development Bank"	0.0620613
"Ministry of Culture"	0.0612952
UNHCR	0.0605058
"European Council"	0.0603871
"United States government"	0.060178
"International Red Cross"	0.0600949
"Atlanta Committee"	0.0600493
"All-China Journalists Association"	0.0593182
"Hong Kong Trade Development Council"	0.0590899
CAS	0.0590866
"National Endowment"	0.0587253
"National Institutes of Health"	0.0587199
"Hong Kong Monetary Authority"	0.0584052
"European Community"	0.0581538
"International Ski Federation"	0.0579433
"State Bureau of Environmental Protection"	0.0575909
"Ministry of Personnel"	0.0574209
NEA	0.057337
"executive agency"	0.0571729
"Handgun Control Inc."	0.0571098
"International Amateur Athletic Federation"	0.0567809
FIVB	0.0567667
"Republican Leadership Council"	0.0567324
"Federal Emergency Management Agency"	0.0566112
"Olympic Committee"	0.0565434
"Civil Aviation Authority"	0.056459
BLM	0.056322
"National Association of Broadcasters"	0.0560094
"Anti-Defamation League"	0.0559221
"World Jewish Congress"	0.0559174
AARP	0.0555326
"Organization Department"	0.0555109
"Freedom Forum"	0.0554753
"China Federation"	0.0554557
"Asia Society"	0.0550985
"Shanghai Branch"	0.0550978
UNAIDS	0.0550314
"Ministry of Education"	0.0548694
"China National Petroleum Corporation"	0.054709
"Motion Picture Association of America"	0.0546069
"Chinese Society"	0.0545385
"National Cancer Institute"	0.054245
NARAL	0.0540288
Riady	0.053709
"State Education Commission"	0.0536448
ILO	0.0533414
Hezb-i-Islami	0.0532182
FAO	0.0531566
"Party School"	0.0529846
"Ministry of Posts"	0.0527941
ECA	0.0527127
SETC	0.0525985
"Federal Reserve Bank of New York"	0.0525114
"Medical Society"	0.0524801
"State Flood Control"	0.0522808
BOC	0.0522269
ICBC	0.0521932
UNFPA	0.0521365
"private corporation"	0.0520981
"Chinese Academy of Engineering"	0.0520752
Ka-shing	0.0519472
"Propaganda Department"	0.0513041
ESCAP	0.0512952
"Labor office"	0.0511584
"Federal Assembly"	0.051094
"University of China"	0.050968
"U.S. Soccer Federation"	0.0508158
"League of Women Voters"	0.0505914
MOFTEC	0.0504673
UNIDO	0.0499293
"Ministry of Construction"	0.0498351
"Democratic Leadership Council"	0.0498001
"Inter-Parliamentary Union"	0.0497385
"Revolutionary Command Council"	0.0496288
"Ministry of Foreign Trade and Economic Cooperation"	0.0496093
"Center for Strategic"	0.0494769
CAF	0.0493193
FEMA	0.0492516
"business organization"	0.0491051
"Des Moines Register"	0.0487936
"trucking industry"	0.0487027
"General Security Service"	0.0486994
"American Bar Association"	0.0486472
"Small Business Administration"	0.0486
"Paris Club"	0.0485226
"Information Center"	0.0483004
"National Council of Churches"	0.0482869
CPAFFC	0.0482529
DLC	0.0482156
"State Science and Technology Commission"	0.048127
"College Board"	0.0481125
"King Sihanouk"	0.0481106
"Funcinpec Party"	0.0481104
CIRC	0.0480417
"financial organization"	0.0480116
"Xinhua News Agency"	0.0479999
"American Heart Association"	0.0477959
"Taiwan Affairs Office"	0.0477281
"Department of Defense"	0.0477263
ICRC	0.0476432
"All-China Youth Federation"	0.0476295
UNCTAD	0.0473219
"Airport Authority"	0.0472259
"Mormon Church"	0.0472073
SCLC	0.0471085
"Nature Conservancy"	0.0469313
NIH	0.0467759
))
("Canadian Open" (desc 1966.33) (sims
"Maurier Open"	0.296768
"German Open"	0.278178
"Hamlet Cup"	0.273985
"Japan Open"	0.269785
"Paris Open"	0.257258
"Louis Vuitton Cup"	0.25597
"Federation Cup"	0.25095
"Italian Open"	0.247347
"Hong Kong Open"	0.241395
"Stockholm Open"	0.235684
"Kremlin Cup"	0.227534
Maurier	0.222261
"Grand Slam Cup"	0.218183
"Acura Classic"	0.213137
"U.S. Amateur"	0.205999
"European Champions Cup"	0.20568
"Little League World Series"	0.200936
"Western Open"	0.197443
"Swiss Open"	0.194031
"French Open"	0.192844
"Asian Cup"	0.191622
"Fed Cup"	0.186865
"Libertadores Cup"	0.186378
"Champions Cup"	0.182773
"National Invitation Tournament"	0.181712
"Australian Open"	0.180527
"Chase Championships"	0.177471
"European Cup"	0.175197
"West Regional"	0.174112
"Uber Cup"	0.173414
"ATP Championship"	0.171741
"Midwest Regional"	0.170322
"United States Open"	0.169349
"Hopman Cup"	0.166446
"Lipton Championships"	0.162729
"Players Championship"	0.162339
"Thomas Cup"	0.161623
"Copa America"	0.157471
"World Team Cup"	0.157229
"South Regional"	0.153464
"US Open"	0.15209
"European Championship"	0.150148
"Buick Invitational"	0.149771
"World Basketball Championship"	0.146955
"League Cup"	0.143219
"U.S. Open"	0.143194
"F.A Cup"	0.142236
Wimbledon	0.141261
"Gold Cup"	0.140967
"African Nations Cup"	0.135525
nit	0.133334
"Italian Cup"	0.132709
"Confederations Cup"	0.131448
"Sudirman Cup"	0.130478
"FA Cup"	0.12871
"Davis Cup World Group"	0.125142
Lipton	0.125025
"European Championships"	0.124135
"Big Sky Conference"	0.124074
"Buick Classic"	0.123634
"Cup Winners Cup"	0.12242
"PGA Championship"	0.122364
"Nissan Open"	0.122269
"African Cup"	0.121989
"Mastercard Colonial"	0.121542
"British Open"	0.120607
"U.S. Senior Open"	0.11966
"first cup"	0.118183
"World Table Tennis Championships"	0.117525
"Home Run Derby"	0.117088
tourney	0.116646
"Wimbledon Tennis Championships"	0.11581
"UEFA Cup"	0.114646
"Davis Cup"	0.114637
"Pan American Games"	0.113573
"East Regional"	0.113464
Eastbourne	0.112835
"Nations Cup"	0.112761
"Big West"	0.112385
"Roland Garros"	0.112366
"Loch Lomond"	0.11213
Masters	0.111498
"European Champions League"	0.1113
EuroLeague	0.110947
"Memorial Tournament"	0.110846
"Phoenix Open"	0.110208
Asiad	0.110128
"stroke play"	0.10922
"Dunhill Cup"	0.108667
"Southwest Conference"	0.106503
"LPGA Championship"	0.10622
ATP	0.104955
"Euro @@@@"	0.104526
"grand slam"	0.104112
WTA	0.104109
"Goodwill Games"	0.104079
GP	0.103712
"Legg Mason"	0.103021
inaugural	0.102727
"Champions League"	0.10127
"Daytona @@@"	0.100461
"Tour Championship"	0.0990502
"MLS Cup"	0.0988622
Doral	0.0986121
"match play"	0.0970592
"ATP Tour"	0.0968805
"ATP Tour World Championship"	0.0956148
"World Group"	0.0955184
"Brickyard @@@"	0.0953541
"SEC East"	0.0951363
"Dinah Shore"	0.0950954
"PGA Championships"	0.0949852
"London Marathon"	0.0946197
"Dubai World Cup"	0.0930857
snooker	0.0926324
"National Collegiate Athletic Association"	0.0924884
"World Figure Skating Championships"	0.0924069
"Boston Marathon"	0.0919295
"College World Series"	0.0917222
scull	0.0916822
"NEC Invitational"	0.0911631
backstroke	0.0903665
WCC	0.0903142
"Eastern Division"	0.0902849
PGA	0.0902462
"Commonwealth Games"	0.0900171
"field hockey"	0.0890841
"Division @"	0.0874985
"Maurier Classic"	0.0871715
"Western Athletic Conference"	0.0864301
hardcourt	0.0861396
"Longwood Cricket Club"	0.0861114
"hammer throw"	0.085986
epee	0.0855556
"New York City Marathon"	0.0854338
"Stanley Cup"	0.0852479
"Funny Car"	0.0849608
"BellSouth Classic"	0.0846012
"ice hockey"	0.0845654
"Basketball Championship"	0.0844562
"Santa Anita Derby"	0.083695
"WTA Tour"	0.0836521
"Pan Pacific"	0.0834594
"Grand Prix"	0.0832218
"Atlantic Coast Conference"	0.082634
"NFC East"	0.082399
"Olympic Games"	0.0823943
"AFC Central"	0.0823073
"Big Sky"	0.0816852
"Asian Games"	0.0811343
Edgbaston	0.0809642
skeet	0.0809531
"NCAA Tournament"	0.0805797
"Big East"	0.0801778
cruiserweight	0.0798131
"Skate America"	0.0796601
"Pan Am Games"	0.0795844
"basketball league"	0.07947
"Indian Wells"	0.0793945
"Orange Bowl"	0.0790822
"Volleyball Grand Prix"	0.0787494
"World League"	0.0784079
"World Championship"	0.0778797
"junior lightweight"	0.0773358
breaststroke	0.0770018
freestyle	0.0764193
"Atlanta Olympic Games"	0.076371
"Summer Olympic Games"	0.0762168
"AFC East"	0.0760242
"Summer Games"	0.0759135
"Conference USA"	0.0758165
"Top Fuel"	0.075741
Morehouse	0.0756349
bantamweight	0.0755455
"National League Central"	0.0750426
Opens	0.0746765
pentathlon	0.0745977
"AFC West"	0.0744048
"table tennis"	0.0741856
CAA	0.074103
"World University Games"	0.0740034
"Summer Olympics"	0.0739982
biathlon	0.0738075
"SEA Games"	0.0736536
"Atlanta Olympics"	0.0736106
badminton	0.073576
Giro	0.0733673
"Cotton Bowl"	0.0729831
PBA	0.0729619
TPC	0.0728858
three-meter	0.0728416
WBO	0.0728059
"English Football Association"	0.0724379
"World Athletics Championships"	0.0724374
"Melbourne Park"	0.0724189
"McGill University"	0.0723721
regionals	0.0722189
"Barcelona Olympics"	0.0718293
"Preakness Stakes"	0.0717697
"Republican Convention"	0.0715692
))
("Canadian province" (desc 3824.13) (sims
"Australian state"	0.109461
"major-league team"	0.0963243
"service break"	0.0715996
great-grandchildren	0.0702653
"All-Star Games"	0.07014
postseasons	0.069703
"base runner"	0.066293
quarterfinalists	0.0648811
Quebec	0.0644941
"Ryder Cups"	0.0633793
Dutchmen	0.0625636
"African nation"	0.0618044
"Pro Bowls"	0.0613229
crewmembers	0.0609891
"European nation"	0.0596213
"break of serve"	0.0592677
B-@s	0.0585355
"black person"	0.0582382
"Central American country"	0.0570821
"white person"	0.0568322
"District of Columbia"	0.0564498
bogy	0.0555671
"British Columbia"	0.0553369
"Final Fours"	0.0551111
metropolises	0.0542622
starts.	0.0536817
"Baby Bells"	0.0536234
hundredth	0.0521358
"British Opens"	0.0519578
Alberta	0.0519411
"No. @s"	0.0518778
no-decisions	0.0518503
QBs	0.0518317
"Cy Young Awards"	0.0517714
seasons.	0.0516541
"King County"	0.0513836
baserunners	0.0510501
"South American country"	0.0509326
vote-getters	0.0507592
Anatolia	0.0506303
"Asian nation"	0.0505638
A@@@s	0.0504388
"seeded player"	0.0499287
takeaways	0.0498568
halves	0.0497744
cantons	0.0497077
trainload	0.0496655
Wyoming	0.0492189
runnings	0.0490802
"major league season"	0.0489218
tenths	0.0488936
"Inner Mongolia Autonomous Region"	0.0486546
Quebecers	0.0483981
years.	0.0479475
Katanga	0.0478639
"federal district"	0.0477744
bugaboo	0.0473974
"Balkan country"	0.0473809
"North Dakota"	0.0472604
guardsmen	0.0468528
"mountain range"	0.0467958
"big leaguer"	0.0467674
"South Dakota"	0.0465248
"major power"	0.0460297
"Jefferson County"	0.0459535
"day of rest"	0.0455026
Bekaa	0.0454582
abstention	0.0453355
upperclassmen	0.0450758
"Kathmandu Valley"	0.0450672
terminus	0.0450524
"Rocky Mountains"	0.0449688
Picassos	0.0449563
prong	0.0449508
"work group"	0.044918
innings.	0.0448383
deuce	0.0447825
Saskatchewan	0.0445787
"auto company"	0.0445778
Copt	0.0445562
"Housing Authority"	0.0445437
"Northern Virginia"	0.0444983
"space walk"	0.0442802
top-@@	0.0442356
Siberia	0.0439684
signatory	0.0439197
"Tennessee Valley"	0.0436294
"Fujian Province"	0.0436057
crewmates	0.0434688
tranches	0.0434202
sherpas	0.0433483
"major leaguer"	0.0433235
Queensland	0.0429633
Guayaquil	0.0429456
syllable	0.0428579
carmakers	0.0428263
vaulter	0.0427828
"flight of stairs"	0.0427784
"right whale"	0.0426511
Tasmania	0.0425856
"North West Frontier Province"	0.0425155
"Los Angeles County"	0.0424044
Guam	0.0423436
governorates	0.0421227
Aboriginal	0.0420277
state-owned	0.0420016
instalment	0.0418616
nonwhites	0.0418543
"fatal accident"	0.041828
SEZs	0.0418034
seaboard	0.0417571
"unearned run"	0.041749
"Pulitzer Prizes"	0.0416327
Kwazulu-Natal	0.0414745
"Balkan nation"	0.04143
Opens	0.0414188
Klansmen	0.0413791
All-Americans	0.0413454
"nuclear power"	0.0412343
Tigray	0.0412243
"member nation"	0.0411619
rebounders	0.0411174
Georgian	0.0410208
"Lower Saxony"	0.0409843
Saxony	0.0407596
Ontario	0.0406544
"earned run"	0.0406526
"Sierra Nevada"	0.0404549
"free port"	0.0402858
co-owners	0.040227
prefecture	0.0402009
"New York Republicans"	0.0401527
))
(Canadiens (desc 8346.26) (sims
"Maple Leafs"	0.205897
Blackhawks	0.194617
Canuck	0.192579
"Red Wings"	0.188128
"Montreal Canadiens"	0.187748
sabre	0.180007
oiler	0.168278
"Dallas Stars"	0.160305
islander	0.159552
"Los Angeles Kings"	0.156589
"Mighty Ducks"	0.155152
flyer	0.148136
"New York Rangers"	0.146671
MetroStars	0.146522
bruin	0.146268
"Detroit Red Wings"	0.145825
"San Jose Sharks"	0.144158
Celtics	0.136678
"Philadelphia Flyers"	0.134928
"Edmonton Oilers"	0.134101
"Buffalo Sabres"	0.133363
"Vancouver Canucks"	0.132946
"New York Islanders"	0.132377
panther	0.131989
coyote	0.131536
devil	0.130356
ranger	0.130027
"Florida Panthers"	0.129548
"Calgary Flames"	0.129277
"D.C. United"	0.127308
thrasher	0.125795
"Chicago Blackhawks"	0.12569
"blue jay"	0.123566
penguin	0.120934
"New Jersey Devils"	0.120089
"Los Angeles Lakers"	0.119703
"Boston Bruins"	0.119362
"St. Louis Blues"	0.118337
"Pittsburgh Penguins"	0.118199
"Cincinnati Reds"	0.117497
"Tampa Bay"	0.11726
"Toronto Maple Leafs"	0.116483
"Boston Celtics"	0.115862
"Green Bay Packers"	0.11507
"Team USA"	0.114863
"New York Mets"	0.114272
"Los Angeles Galaxy"	0.114218
ASTROS	0.113865
"Detroit Pistons"	0.112368
"Chicago Bulls"	0.112323
"Brooklyn Dodgers"	0.111402
Stars	0.110554
Padre	0.110355
"Indiana Pacers"	0.110252
"Ottawa Senators"	0.110117
"Washington Capitals"	0.109783
"White Sox"	0.109496
Orioles	0.107993
Giants	0.107976
sixer	0.107143
Sonics	0.107084
Steelers	0.106423
"Nashville Predators"	0.106243
"Los Angeles Dodgers"	0.106021
"New Jersey Nets"	0.105875
"St. Louis Cardinals"	0.105786
"Atlanta Braves"	0.105751
"Carolina Hurricanes"	0.10543
Montreal	0.105204
Calgary	0.105013
ANAHEIM	0.104657
"Dallas Cowboys"	0.104251
"Colorado Avalanche"	0.104051
Edmonton	0.103918
"Atlanta Hawks"	0.103904
"Milwaukee Brewers"	0.103664
"Cleveland Indians"	0.103612
"Washington Redskins"	0.103552
"Boston Red Sox"	0.102859
"Chicago White Sox"	0.102814
"Detroit Tigers"	0.10278
"devil ray"	0.10259
"Anaheim Mighty Ducks"	0.102582
marlin	0.102136
"Phoenix Coyotes"	0.102129
"Houston Astros"	0.101937
Phillies	0.10192
wildcat	0.101672
Knicks	0.101475
"New York Giants"	0.101348
"Texas Rangers"	0.101194
BEARS	0.100945
Gators	0.100902
Inter	0.100885
Lakers	0.100733
A's	0.100662
"Miami Heat"	0.100498
Redskin	0.0998378
Toronto	0.0996191
"Utah Jazz"	0.0995106
"Red Sox"	0.099118
"Oakland Athletics"	0.0991023
Raptor	0.0990871
"Florida Marlins"	0.0990193
"San Francisco Giants"	0.0989306
"ATLANTA FALCONS"	0.0988665
"San Diego Padres"	0.098809
shark	0.098645
Carolina	0.0980995
"Tar Heels"	0.0978838
"New York Knicks"	0.0978712
"Minnesota Vikings"	0.0976129
"Pittsburgh Pirates"	0.0975335
pacer	0.0972842
Cavs	0.097224
Fiorentina	0.096931
grizzly	0.0967683
Trojan	0.0967204
"Kansas City Royals"	0.0966276
"Miami Dolphins"	0.0965489
Seahawks	0.0962215
"Baltimore Orioles"	0.0962095
"Toronto Blue Jays"	0.0960737
Bengals	0.0959928
"Phoenix Suns"	0.0951075
"Dallas Mavericks"	0.0947672
"Sacramento Kings"	0.0944179
"Milwaukee Bucks"	0.094288
Detroit	0.0940552
dodger	0.0939927
"blue devil"	0.093852
Royals	0.0933354
Sooners	0.0932503
"Montreal Expos"	0.0931454
maverick	0.0928701
Hornet	0.0926271
"San Diego Chargers"	0.0923302
clipper	0.0921582
"St. Louis Rams"	0.0921383
"New York Yankees"	0.0921296
"Washington Wizards"	0.0921051
"Minnesota Timberwolves"	0.0918342
"Chicago Bears"	0.0917712
avalanche	0.0914823
"Denver Broncos"	0.0914395
"Miami Fusion"	0.0914063
Shenhua	0.0911637
Everton	0.090939
"Los Angeles Clippers"	0.0909017
Mets	0.0908656
"Red Star"	0.0908572
"Charlotte Hornets"	0.0907296
"Oakland Raiders"	0.0906219
"Trail Blazers"	0.0900615
Bayern	0.0900041
LSU	0.0898517
Eagles	0.089802
brave	0.0896545
cardinal	0.0894877
"New York Jets"	0.0890414
Udinese	0.088944
diamondback	0.0889276
Vols	0.0887769
Buffalo	0.0887227
bulldog	0.0884317
Pepperdine	0.0883777
bronco	0.0882463
"New England Patriots"	0.0882387
Juventus	0.0881997
packer	0.0879668
"Pittsburgh Steelers"	0.0879433
"Golden State Warriors"	0.0877803
"San Francisco @@ers"	0.0877691
"Tennessee Titans"	0.0876378
Pittsburgh	0.0876221
cub	0.0876049
Sox	0.0874614
UConn	0.0869124
Ajax	0.0869105
"Indianapolis Colts"	0.0868436
Boilermakers	0.0866996
"Arizona Diamondbacks"	0.086639
Timberwolves	0.086616
gamecock	0.0865893
Jayhawks	0.0864833
"Cleveland Browns"	0.0862806
charger	0.0862575
"Seattle Mariners"	0.08615
"Colorado Rockies"	0.0858429
galaxy	0.0858005
"Minnesota Twins"	0.0857178
corinthian	0.0856556
"Buffalo Bills"	0.0855967
Vancouver	0.0851321
"Horned Frogs"	0.0851047
"Portland Trail Blazers"	0.0850182
Aggies	0.0847129
"Bayern Munich"	0.0846625
"Houston Rockets"	0.0846073
duck	0.0841969
))
(Canady (desc 1147.13) (sims
Moakley	0.297135
Waxman	0.248967
Bliley	0.245498
Doggett	0.235594
Napolitano	0.229178
Delahunt	0.227589
McInnis	0.22689
Danner	0.224626
Weldon	0.219773
Nadler	0.214613
Engel	0.195001
Royce	0.193841
McHugh	0.189613
Capps	0.188075
McNulty	0.186398
Condit	0.183872
Northup	0.181341
Isakson	0.180808
Tauzin	0.180717
Schaffer	0.180511
Goode	0.176107
Markey	0.176012
Metcalf	0.172448
Gilman	0.171532
Chabot	0.167607
Pelosi	0.165883
Chambliss	0.165168
COYNE	0.163912
McCollum	0.162999
Menendez	0.162031
Kolbe	0.159885
Goss	0.158969
Linder	0.155371
McKeon	0.151038
Larson	0.147505
Hobson	0.147358
Klink	0.145901
McIntyre	0.145789
Bakaly	0.140328
Meeks	0.139684
Latham	0.139168
Rangel	0.135931
Pickett	0.135535
granger	0.134867
Houghton	0.133678
Camdessus	0.133528
Portman	0.132836
Dooley	0.132686
Kyl	0.132359
Leach	0.130698
McIntosh	0.128106
PITTS	0.127597
Murkowski	0.127164
mica	0.125215
Deutsch	0.125073
Farr	0.12444
Dingell	0.124256
Pryce	0.120713
Meehan	0.120508
Berman	0.120297
SHUSTER	0.120159
Upton	0.118667
Brownback	0.118455
Largent	0.117309
Neal	0.116773
Rogan	0.11544
Gutierrez	0.115396
Kasich	0.11536
Callahan	0.110685
Cummings	0.110337
Serrano	0.110243
Lowey	0.109369
Ruff	0.109184
Crowley	0.108688
Conyers	0.108664
Schmalensee	0.10859
Ruehe	0.108536
Packard	0.108458
Caddell	0.108046
Carneal	0.107766
Stearns	0.107474
Lipinski	0.106424
Rossotti	0.104946
"House Government Reform Committee"	0.104235
Rahman	0.104008
Strickland	0.103376
Phelps	0.103324
frist	0.103107
Naumann	0.102609
Allard	0.101464
Wolfson	0.100141
Wenger	0.100064
Reyes	0.0985678
Velazquez	0.0979223
Sensenbrenner	0.0977428
Ortiz	0.0975597
Hastings	0.0948026
Thurman	0.094708
"House Commerce Committee"	0.0946872
Barrett	0.0938385
Rosenblatt	0.0934587
Fleischer	0.0928652
McGovern	0.0927501
Harmoko	0.092545
Lessig	0.090931
Chukwu	0.0904829
Difrancesco	0.0904636
Armey	0.0903013
Moonves	0.0900018
Sherwood	0.0897847
Flanagan	0.0894378
Reinhardt	0.0892444
Devine	0.0891098
Lockyer	0.0890301
Costello	0.0887351
burr	0.0882158
Benedict	0.0881704
Dixon	0.0876949
Skiles	0.0875993
Hyde	0.0868144
Moran	0.0867232
Bono	0.0866695
Sanford	0.0866658
hodgson	0.0861026
McDermott	0.0860037
Payne	0.0859947
Anand	0.0859022
Siazon	0.0853567
Alioto	0.0850697
Ackerman	0.0843106
Singson	0.0837605
Holt	0.0836545
Sherman	0.0835126
Babcock	0.0834645
Aventajado	0.0833735
Valenti	0.0833478
Fieger	0.0828402
Sweeney	0.0826847
Eizenstat	0.082354
Caldera	0.0820722
Hagel	0.0819997
Bonilla	0.0817737
McCarthy	0.0816168
Levin	0.0813472
Peterson	0.08104
"House Appropriations Committee"	0.0810078
Gephardt	0.0808679
Hauser	0.0803334
Hutchinson	0.0803071
Molinari	0.0802241
Emerson	0.0798467
Doyle	0.0795275
Hamill	0.079358
Jeffords	0.0793567
Zarb	0.0793499
Patten	0.07933
Baugh	0.0791359
Foley	0.0789261
Sawyer	0.0787732
Watkins	0.0785839
Satcher	0.0785645
Greenwood	0.0780637
"Mary Jo White"	0.0780334
Kessler	0.0777613
Rudenstine	0.0777491
Troussier	0.0774075
fowler	0.0769474
Wellstone	0.076899
Ftorek	0.0762328
Quinn	0.0759613
GAGE	0.0754875
Echols	0.0746667
Constantinescu	0.0744989
"Senate Appropriations Committee"	0.0744688
Hybl	0.074114
Koskinen	0.0737989
Maslyukov	0.073587
Passarella	0.0735627
Ruggiero	0.0735594
Inman	0.0734792
Farber	0.0734011
Velayati	0.0729056
Choate	0.0728756
Braswell	0.0722933
Rongen	0.0722891
Padilla	0.0721388
Betts	0.0720751
Burleigh	0.0713765
Summitt	0.0710724
Joklik	0.0710141
Harkin	0.0709782
Shays	0.0709311
Storin	0.0707799
Rendell	0.0706247
Sheehan	0.0705956
MURTHA	0.070557
Zucker	0.0704393
Solis	0.0703724
HELLER	0.0703607
Wexler	0.0703246
))
(Canal (desc 47513.7) (sims
waterway	0.192393
"Panama Canal"	0.187518
river	0.151928
reservoir	0.142712
lake	0.136971
dam	0.130868
ditch	0.128335
pond	0.121366
Creek	0.119921
tunnel	0.117722
highway	0.113897
embankment	0.112758
"pumping station"	0.112485
culvert	0.112392
railway	0.111195
expressway	0.107151
levee	0.106979
pipeline	0.104646
dike	0.103986
"rail line"	0.101135
lagoon	0.099548
"railway line"	0.0994968
sewer	0.0970508
aquifer	0.0960823
bridge	0.0938382
harbor	0.0929576
road	0.0929346
"Suez Canal"	0.0894918
ocean	0.0886587
"Hudson River"	0.0885506
stream	0.085915
dyke	0.0844157
"oil pipeline"	0.0827018
water	0.081932
gorge	0.0817727
pipe	0.0816607
tributary	0.0813761
Danube	0.0809769
pool	0.0808796
roadway	0.0806266
coastline	0.0801924
Seine	0.0794938
"Yangtze River"	0.0793911
port	0.0792297
motorway	0.0784459
Marsh	0.0783525
estuary	0.077962
channel	0.0778835
railroad	0.0777493
Yangtze	0.077363
"power station"	0.0772527
"ring road"	0.0767192
"power plant"	0.0766914
Bay	0.0762413
"drainage system"	0.0756256
"Yellow River"	0.0750991
"transmission line"	0.0749298
ravine	0.0744104
sea	0.0740152
freeway	0.0735197
park	0.0732658
"railroad track"	0.0729346
corridor	0.0720216
footpath	0.0717465
"access road"	0.0715439
rail	0.0707658
"Rio Grande"	0.0700725
route	0.0696189
swamp	0.0694485
"power line"	0.0689838
"swimming pool"	0.068843
riverbed	0.068816
trench	0.0686924
facility	0.0684703
"water system"	0.0684688
pit	0.0683843
lane	0.0680238
building	0.0676503
causeway	0.0676243
"body of water"	0.0672402
waterworks	0.0671856
airport	0.0671829
shoreline	0.0671733
street	0.0669354
strait	0.0664643
cistern	0.0662061
plant	0.0658328
land	0.0653676
groundwater	0.065092
"Colorado River"	0.0649095
passageway	0.0647534
beach	0.0647179
canyon	0.0644623
walkway	0.0644009
valley	0.0641183
basin	0.0640732
farm	0.0640337
refinery	0.0639642
gully	0.063905
subway	0.0635432
"water pipe"	0.0634691
wetlands	0.063292
Nile	0.062937
forest	0.0627652
moat	0.0623544
"Huaihe River"	0.0623262
duct	0.0622793
"power grid"	0.0621857
"water supply"	0.0620834
farmland	0.061544
network	0.061396
"East River"	0.0613795
Everglades	0.0612976
terminal	0.060822
station	0.0604365
drainage	0.0603517
"water project"	0.0601912
cable	0.0601633
cemetery	0.060093
"Mississippi River"	0.0600003
thoroughfare	0.0597627
Tower	0.0596215
factory	0.0594393
Hudson	0.059423
section	0.0588363
airfield	0.0585242
"Atlantic Ocean"	0.0583604
"trunk line"	0.0582878
border	0.0581698
avenue	0.0578765
tank	0.0577907
inlet	0.0576452
Wetland	0.0575059
zone	0.0574686
"main road"	0.057308
grotto	0.0572441
garden	0.0571686
territory	0.056891
artery	0.0561972
landfill	0.0561238
trail	0.0558837
fountain	0.0557327
crater	0.0556997
village	0.0555965
pier	0.0553624
pagoda	0.0552986
driveway	0.0552068
dwelling	0.0551784
gutter	0.0551772
Macau	0.0550236
mountain	0.0549763
"ground water"	0.0548044
wall	0.0547316
superhighway	0.0546615
drain	0.0544072
complex	0.0543101
waterfront	0.0542883
wharf	0.0540969
cave	0.0539728
reef	0.0539572
irrigation	0.0535766
dock	0.0534312
plaza	0.0533097
"storage tank"	0.0532479
cofferdam	0.0532185
infrastructure	0.0531922
"parking lot"	0.0531282
island	0.0529545
ship	0.0529014
grassland	0.0528577
Warehouse	0.052782
hotel	0.0527285
Thames	0.052722
garage	0.0527026
"shopping center"	0.052507
boulevard	0.0525048
monument	0.052378
Sewage	0.0523328
waterfall	0.0522452
museum	0.0520244
Gulf	0.0517038
Casino	0.0515232
tree	0.0514499
sidewalk	0.051405
"railway system"	0.0513771
"Silk Road"	0.0511167
"shopping mall"	0.0508169
depot	0.0507677
latrine	0.0507007
airstrip	0.0503959
installation	0.0503819
Alley	0.0503728
path	0.0502149
smelter	0.0500898
Atlantic	0.0500391
temple	0.0499873
mill	0.0499853
"San Francisco Bay"	0.0499828
mosque	0.049859
runway	0.0497572
))
("Canal Plus" (desc 3507.8) (sims
Vivendi	0.163387
BSKyB	0.160037
"France Telecom"	0.142506
Emulex	0.137079
"ELF AQUITAINE"	0.130582
Seagram	0.122407
"Berkshire Hathaway"	0.121656
Aerospatiale	0.118965
"Vodafone AirTouch"	0.118621
"True North"	0.117276
"U.S. Trust"	0.116452
"USA Networks"	0.115948
Railtrack	0.115305
Telefonica	0.115219
NTL	0.113677
Schlumberger	0.113382
SAirGroup	0.110629
Vodafone	0.109266
"Halliburton Co."	0.108926
VICKERS	0.108503
"Seagram Co."	0.107372
Eurotunnel	0.107051
"News Corp."	0.106994
Bertelsmann	0.106961
"Bausch &AMP; Lomb"	0.106698
Paribas	0.106325
Halliburton	0.105972
ENTREMED	0.105348
NiSource	0.104465
"Times Co."	0.104271
Viacom	0.104011
AstraZeneca	0.103884
"National Grid"	0.101358
YPF	0.101165
YankeeNets	0.100955
Daimler-Benz	0.100514
ALZA	0.100096
Infoseek	0.0983965
Totalfina	0.0983858
Healtheon	0.0977348
"Vivendi SA"	0.0976163
"Telecom Italia"	0.0973694
GEC	0.0973376
SkyTel	0.0971384
"Thermo Electron"	0.0968574
"BP Amoco"	0.0945996
VoiceStream	0.093876
"HBO &AMP; Co."	0.0933001
Mannesmann	0.0932452
Tenneco	0.0925589
"Fred Meyer"	0.0921692
EarthLink	0.0915109
CMGI	0.091081
Eaux	0.0909683
AMR	0.0908062
ABS-CBN	0.0906559
Dasa	0.0906002
"Times Mirror"	0.0903453
"Cable &AMP; Wireless"	0.0902481
TCI	0.0902232
"HSBC Holdings"	0.089877
Cablevision	0.0897804
"Liberty Media"	0.0896113
"Atlantic Richfield"	0.0893431
"American Home Products"	0.0890351
ExciteAtHome	0.0889676
"Pacific Century Cyberworks"	0.0885266
"CMGI Inc."	0.0880962
"British Aerospace"	0.0876187
WebMD	0.0874787
KPN	0.0874591
"Walt Disney Co."	0.0868901
SFX	0.0867496
"Thomson CSF"	0.0867391
Univision	0.0866019
PolyGram	0.0862801
"Bank of Scotland"	0.0862773
iTV	0.0859587
"Phelps Dodge"	0.0859385
EMC	0.0856283
Checkfree	0.0854266
Comsat	0.0853197
"Dayton Hudson"	0.0852297
"Glaxo Wellcome"	0.0850944
"Time Warner"	0.0850703
"Global Crossing"	0.0849665
PLDT	0.0849179
Novell	0.084682
Genzyme	0.0846731
Asarco	0.0845887
Broadcast.com	0.0842482
"Burlington Northern"	0.0842296
Comcast	0.0842047
"Royal Bank"	0.0839051
"Siemens AG"	0.0838138
Gazprom	0.083804
"Boston Scientific"	0.0836859
Alcatel	0.0836718
"British Telecommunications"	0.0834529
"Tele-Communications Inc."	0.0834071
"Union Carbide"	0.083385
"Societe Generale"	0.0831478
RJR	0.0830849
"Chronicle Publishing"	0.0830192
NHK	0.0830047
"Knight Ridder"	0.0828102
"American International Group"	0.0823795
Texaco	0.0823513
"Qualcomm Inc."	0.0822353
VEBA	0.0817056
Rhone-Poulenc	0.0817022
Genentech	0.0815401
Viag	0.0815092
Norwest	0.0814718
Televisa	0.0814385
Qwest	0.0810632
"Travelers Group"	0.0808744
"Symantec Corp."	0.0807401
"Deutsche Telekom"	0.0806558
Northpoint	0.0804541
"Sara Lee"	0.0803869
Corel	0.080338
Qualcomm	0.0799615
"Hongkong Telecom"	0.0799281
"Computer Associates"	0.0798184
Healtheon/WebMD	0.0798038
Telstra	0.0797015
Xoom.com	0.079643
BankAmerica	0.0795378
WPP	0.0794273
ZDNet	0.0793019
WorldCom	0.0792809
"Waste Management"	0.0792229
"JDS Uniphase"	0.0791137
UAL	0.0790888
"MediaOne Group"	0.0790837
Ciena	0.0790761
CMG	0.0788321
"Mannesmann AG"	0.0786616
DrKoop.com	0.0785924
Warner-Lambert	0.0785584
"U S West"	0.0784468
E-LOAN	0.0782518
VENATOR	0.0779816
PETROBRAS	0.0778459
"Nippon Telegraph"	0.0778331
"AMR Corp."	0.0776518
Unilever	0.0776398
"RJR Nabisco"	0.0775946
Aventis	0.0775823
Petrofina	0.0775738
Aetna	0.077286
"Fannie Mae"	0.077094
Mediaone	0.0769409
"Coca-Cola Enterprises"	0.0769074
Biogen	0.076791
Lagardere	0.0766521
Chevron	0.0765642
"MCI WorldCom"	0.0764159
ARCO	0.0763437
Monsanto	0.0763301
McKesson	0.0762561
"Air Canada"	0.0761533
Novartis	0.0761179
HSBC	0.0761011
Honeywell	0.0759686
"Cisco Systems"	0.0757674
NatWest	0.0757545
SNCF	0.0755332
Renault	0.0754772
"General Electric Co."	0.075429
Mobil	0.0751245
Terra	0.0750956
Asda	0.0750309
GANNETT	0.074484
Frito-Lay	0.0743028
Alcan	0.0742522
Eni	0.0741673
Livent	0.0741437
"Niagara Mohawk"	0.0737052
AlliedSignal	0.0736596
"Oracle Corp."	0.0736461
CCE	0.0735951
LVMH	0.0734366
Citigroup	0.0733233
Lycos	0.0732478
"Time Warner Inc."	0.0731082
Bestfoods	0.0731039
"Silicon Graphics"	0.0730964
QVC	0.0730893
CNET	0.0730251
Cendant	0.0728899
Agilent	0.0727431
RealNetworks	0.0724299
Airtouch	0.0723311
Exxon	0.0723238
"Learning Co."	0.0721298
Nortel	0.0720354
AIG	0.0720264
Pepsico	0.0720043
))
(canape (desc 1545.98) (sims
appetizer	0.136988
brie	0.086155
noisemaker	0.0826119
"party favor"	0.0812529
"sparkling wine"	0.0797974
Cognac	0.078344
refreshment	0.0758866
ravioli	0.0721336
"oreo cookie"	0.0716728
"potato salad"	0.071214
mousse	0.0707983
Lasagna	0.0706542
bulgur	0.0693408
hummus	0.0692972
Souffle	0.0664164
biscotti	0.0640931
pancake	0.0638714
liqueur	0.0623053
"main course"	0.0598856
quiche	0.059642
"vegetable soup"	0.0591968
risotto	0.0589383
meatball	0.0583536
bisque	0.0582227
"macaroni and cheese"	0.0581964
"chicken sandwich"	0.057799
kebab	0.0575661
croissant	0.057552
polenta	0.0568806
"side dish"	0.0566776
chowder	0.0555808
fajitas	0.0551961
focaccia	0.0545644
"beef tenderloin"	0.0537616
"cream puff"	0.0537186
"creme brulee"	0.0533384
curd	0.0532554
Martini	0.0532072
entree	0.0528302
enchilada	0.0526331
"french fries"	0.0524905
sushi	0.0522193
Topping	0.0516694
brownie	0.0511952
crepe	0.0505137
Tamale	0.0504556
sipping	0.0502124
cheesecake	0.0499789
smoothie	0.0499064
"root beer"	0.0496381
muffin	0.0491814
sherbet	0.0489687
counterbid	0.0482063
"chicken wing"	0.0481281
"pumpkin pie"	0.0479335
"foie gras"	0.047399
"pound cake"	0.0472791
aperitif	0.0470096
gin	0.0466566
"goat cheese"	0.0463292
burgers	0.0460977
cupcake	0.0459985
Fondue	0.0457075
"Chenin blanc"	0.045425
veal	0.0442404
chutney	0.0441991
custard	0.0438182
"Grand Marnier"	0.0437768
lox	0.0437063
"Caesar salad"	0.0433564
"compromise plan"	0.0428443
"cold cuts"	0.0426403
"smoked salmon"	0.0424754
lemonade	0.0423945
"piggy bank"	0.0422985
taco	0.0422702
carrying	0.0422482
pretzel	0.0421543
sorbet	0.0420725
toffee	0.041944
fruitcake	0.0418064
gumbo	0.041764
TARTARE	0.0417583
spaghetti	0.041627
"chocolate cake"	0.0410384
quesadillas	0.0408385
conch	0.0403955
gratin	0.0403824
))
(canard (desc 1268.64) (sims
today.	0.0968937
"numbers game"	0.0884453
copout	0.0833111
axiom	0.0761731
drivel	0.0754489
supposition	0.0753922
"guessing game"	0.0731289
go-round	0.0710122
zinger	0.0694285
baloney	0.0692244
"hue and cry"	0.0666388
feeler	0.0654307
Truism	0.0642541
misperception	0.0639125
subterfuge	0.0637894
slander	0.0637096
no-brainer	0.0634164
"parlor game"	0.0622926
crap	0.0622916
"standard operating procedure"	0.0616401
bromide	0.0615205
adage	0.0614844
Ville	0.0609221
spiel	0.0601589
gibberish	0.0600774
"waiting game"	0.0595774
misconception	0.0591236
fallacy	0.0586809
Bruijn	0.0573529
bugaboo	0.0573019
Gaulle	0.0564614
mousse	0.0560633
harangue	0.0551177
rumour	0.0550963
proviso	0.0550944
demagoguery	0.0548607
"New Democrats"	0.0547054
Barros	0.0540768
terrine	0.0535648
"modus operandi"	0.0535434
"rallying cry"	0.0528665
grating	0.0525577
"round of golf"	0.0525174
foreboding	0.0524218
"news bulletin"	0.0521465
phonograph	0.0521039
"sour grapes"	0.0519681
Herceptin	0.0517174
hypothesis	0.0515831
heresy	0.0515653
"fire wall"	0.0512312
misnomer	0.0510995
Taxol	0.0510806
crock	0.0510095
pompadour	0.0509526
nonstarter	0.0507991
presumption	0.0507462
tamoxifen	0.0502971
Carrera	0.0502667
Venecia	0.050151
bogeyman	0.0500873
hokum	0.050079
hotspots	0.0500619
"measuring stick"	0.0499125
"first word"	0.0499056
Tevanian	0.0499029
ruse	0.0498513
"shell game"	0.0497384
Luca	0.049384
"talk of the town"	0.0493514
prosthesis	0.0491006
Jong	0.0490587
warhorse	0.0488002
"chess game"	0.0487763
stat	0.0486991
"TV dinner"	0.0486099
OCA	0.0483757
blather	0.0482882
Glanville	0.0482426
"battle plan"	0.0481362
anticlimax	0.0481346
misinterpretation	0.0479694
inquisitor	0.047912
Swardt	0.0473409
"trial balloon"	0.0473176
lawnmower	0.047276
Balzac	0.0466223
comedown	0.0466161
espana	0.0464243
jingle	0.0462621
"hot potato"	0.0462453
misreading	0.0461821
"piece of work"	0.0461302
"Pennsylvania Station"	0.0461072
locution	0.0459456
Saint-Exupery	0.0459446
"expression of regret"	0.0457467
Gimme	0.0456506
"marriage proposal"	0.0454788
siecle	0.0454261
"good word"	0.0453089
gossiping	0.0451287
Icebox	0.0449452
psychobabble	0.0447886
Kooning	0.0447491
superstition	0.0447321
nonevent	0.0447242
caveat	0.0445798
Renteria	0.0445053
"public knowledge"	0.0444847
Centerfold	0.0444682
"tall tale"	0.0444668
Casas	0.0443928
ragout	0.0443537
Omni	0.0442904
stoplight	0.0442255
Pu	0.0442049
Scrooge	0.0441237
"hot stock"	0.0441083
conflagration	0.0440716
widget	0.0440563
avocation	0.0440109
"school of thought"	0.0438305
clunker	0.0437663
"written material"	0.0436955
Almeida	0.0435911
vitriol	0.043457
feistiness	0.0432356
dragnet	0.0431363
Cristina	0.0430459
advisories	0.0429965
"God's Will"	0.0429431
Mapes	0.0429209
"one go"	0.0428094
Borbon	0.0427525
"second tour"	0.0427412
Villar	0.0426721
hoax	0.0426618
"inferiority complex"	0.0426387
"American Dream"	0.0425624
Teflon	0.042506
oxymoron	0.0424619
Macoris	0.0423441
"rat race"	0.0422385
"blast furnace"	0.042157
rube	0.0420648
conundrum	0.0420459
"hush money"	0.041988
moniker	0.0419584
ravioli	0.0418618
"reference work"	0.0418402
"lawn mower"	0.041702
"beach towel"	0.0413534
"piece of music"	0.041318
"day game"	0.0412871
Merida	0.0412774
opprobrium	0.0412349
hubcap	0.041041
velodrome	0.0410018
birdbath	0.0409837
triangulation	0.0408954
tragicomedy	0.040875
libero	0.0408726
"Isaac Mizrahi"	0.0408086
harpoon	0.0407736
"ball game"	0.0407538
"cotton mill"	0.040742
"woman's body"	0.0407015
"white elephant"	0.0406838
Reforma	0.0406302
Scrabble	0.040608
Aggie	0.040579
"patent office"	0.0405419
bulgur	0.0405215
horseman	0.040506
"Joe Kleine"	0.0404331
"boom town"	0.0403959
"Dora Maar"	0.040394
"rule of thumb"	0.0403031
aphorism	0.0402994
Russert	0.0402601
"popularity contest"	0.04026
"black person"	0.0402143
"can opener"	0.0401918
Espinosa	0.0401808
dichotomy	0.0401155
"chicken coop"	0.040097
subgenre	0.0400452
))
(canary (desc 3354.29) (sims
Finch	0.0907491
goldfish	0.0757806
parakeet	0.0756106
parrot	0.0727399
"Bengal tiger"	0.0677081
pigeon	0.0595535
hamster	0.0589947
periwinkle	0.0571631
fowl	0.0565569
"raw meat"	0.0556851
rabbit	0.0553691
skunk	0.0550805
coral	0.0546029
croaker	0.0540215
chartreuse	0.0531965
lizard	0.0529799
BOA	0.0527587
sunflower	0.0511916
snail	0.0485864
ferret	0.0485432
Labrador	0.0479494
iguana	0.0478497
"slip of paper"	0.0476362
Lazarus	0.0474475
beagle	0.0473996
hedgehog	0.0471374
cockroach	0.0468428
blob	0.0465318
Lantana	0.0465001
lavender	0.0461174
"tennis ball"	0.0460615
racehorse	0.045828
"traffic cop"	0.0457427
dachshund	0.0457193
"sea bird"	0.0455727
beige	0.0454855
spud	0.0450635
Alfonso	0.0448171
sparrow	0.0446952
tortoise	0.0446641
"domestic animal"	0.0444168
Belacevac	0.0444059
kitten	0.043684
potty	0.0436255
peony	0.0435431
"feather boa"	0.0430635
eel	0.0430134
yolk	0.0427837
ancients	0.0426092
goose	0.0425406
chrysanthemum	0.041552
thistle	0.0415207
"guardian angel"	0.0414356
"telephone booth"	0.0414306
turtle	0.0413208
hyena	0.0411824
"dead person"	0.0409337
warbler	0.0406198
"extension cord"	0.0405785
turquoise	0.040269
Thong	0.0401902
))
("Canary Islands" (desc 1476.64) (sims
"National Court"	0.0905865
"Port Angeles"	0.0828715
"King Juan Carlos"	0.0676692
Kitwe	0.0661517
Monterrey	0.0653117
"Galo Blanco"	0.0647503
Kalamazoo	0.0646689
"San Juan"	0.0643462
"Miguel Angel Jimenez"	0.0632542
ASHEVILLE	0.0626242
Naperville	0.0609393
"Santo Domingo"	0.0601279
"Fort Worth-Dallas"	0.0600387
"Fernando Escartin"	0.0599967
"Carlos Costa"	0.0594956
Karbala	0.0594087
Brockton	0.0588579
Mannheim	0.0587975
"Pedro Almodovar"	0.0586643
Plata	0.0584048
"Panama City"	0.058318
"Culture Ministry"	0.0582231
Dushanbe	0.0579235
"Ministry of Economy"	0.057515
Aden	0.0569829
Gdansk	0.0568507
Podgorica	0.0565056
Catania	0.0560816
BASEL	0.055991
Port-au-Prince	0.0556987
"Manhattan Beach"	0.0556618
"Fort Lauderdale"	0.0555066
"Palm Springs"	0.0555039
Madras	0.0548635
Lucerne	0.0543123
"Newport Beach"	0.0541693
"Javier Sanchez"	0.0540338
Morristown	0.0537856
"Brooklyn Heights"	0.0536031
"Nuevo Laredo"	0.0535201
Yerevan	0.0534786
Kennebunkport	0.0533872
"Miami Beach"	0.0532125
"Grand Junction"	0.0531498
Katmandu	0.0531091
Guadalajara	0.0528551
trouncing	0.052606
BRIGHTON	0.0525725
Sicily	0.0525625
Elmira	0.0524578
Bulawayo	0.0521671
"San Pedro Sula"	0.0518916
Skopje	0.0512124
"Delray Beach"	0.0509036
Klagenfurt	0.0506052
"Guatemala City"	0.0505109
"Palm Beach"	0.0504239
Puglia	0.0503964
"Republic of Ireland"	0.0503927
Lumbini	0.0500106
"Ho Chi Minh City"	0.0499955
"Rocky Mountains"	0.04981
Knoxville	0.0497794
PALERMO	0.0496787
Rafah	0.0496334
"Boynton Beach"	0.0494965
Odessa	0.0490458
"Happy Valley"	0.048957
Mashhad	0.0489141
Marseilles	0.0488305
Duesseldorf	0.04875
"Silver Spring"	0.0485215
Redding	0.0484788
Xian	0.0482937
Halle	0.0482891
Riga	0.0482099
"Kuril Islands"	0.0478933
"New London"	0.0477276
Linz	0.0475791
"Hilton Head"	0.0473189
"Park City"	0.0472857
Pattaya	0.0471054
"business establishment"	0.0470231
"Key West"	0.0469279
Avignon	0.0467508
Roanoke	0.04674
meridian	0.0467355
Catskills	0.0465714
Chattanooga	0.04647
Nago	0.0464556
Shreveport	0.0463231
Izmit	0.0461262
Charleroi	0.0460563
"San Fernando"	0.0459881
Kingston	0.045965
Clearwater	0.0455762
Harrisburg	0.0454561
Patagonia	0.0453729
Mbarara	0.0453592
"Sun City"	0.0453123
"Baton Rouge"	0.0450913
Hamptons	0.0450091
"Fort Lee"	0.0449956
Jinja	0.0449422
Hobart	0.0444447
nonwhites	0.0442906
casa	0.0442874
Denpasar	0.0442
Mallorca	0.0441127
Harlingen	0.0439409
"Great Neck"	0.043899
Toulon	0.0436449
Assab	0.0435799
Sedona	0.043542
"North Island"	0.0433116
Provincetown	0.043179
Schenectady	0.0431679
Antalya	0.0430421
Jamestown	0.0429386
Basle	0.0429282
Vitoria	0.0428966
Chappaqua	0.0427529
Christchurch	0.0426319
Bamiyan	0.0425593
Duluth	0.0425447
Datong	0.0423675
SENDAI	0.0422843
"Port St. Lucie"	0.0422111
Utica	0.0421803
Trincomalee	0.0420953
Dusseldorf	0.0420547
"Italian Alps"	0.0418401
Zamboanga	0.041805
"pirate ship"	0.0417953
"San Marino"	0.0413775
Filderstadt	0.041364
"British Virgin Islands"	0.0413468
Poughkeepsie	0.0412378
Braintree	0.0411591
Montclair	0.0411533
Nassau	0.0411436
Glasgow	0.041074
"Channel Islands"	0.0410726
"New Canaan"	0.0410093
Alpharetta	0.0409698
"Port Arthur"	0.0409395
BRATISLAVA	0.0408087
"Hauraki Gulf"	0.0406519
Cali	0.040631
Middlebury	0.040481
Novosibirsk	0.040404
"Santa Clarita"	0.0403532
Medan	0.0403156
Lucknow	0.0401903
Fairbanks	0.0401097
"Crystal City"	0.0400193
"Manila Bay"	0.0400053
))
(Canberra (desc 18029.5) (sims
Bonn	0.15654
Wellington	0.135783
Jakarta	0.132326
Perth	0.131163
"Kuala Lumpur"	0.129866
Manila	0.128802
Brisbane	0.128262
HARARE	0.128222
Luanda	0.128111
JOHANNESBURG	0.125818
Adelaide	0.125137
Prague	0.124421
"New Delhi"	0.123609
Hobart	0.121972
BRASILIA	0.121399
Islamabad	0.12082
BRUSSELS	0.120436
Bangkok	0.11796
"SANTAFE DE BOGOTA"	0.115285
Tokyo	0.114612
MELBOURNE	0.114312
Ottawa	0.114241
BUCHAREST	0.114034
CARACAS	0.113896
SOFIA	0.113687
Lusaka	0.111931
Rome	0.111044
Nairobi	0.110513
KAMPALA	0.110459
LONDON	0.110269
SEOUL	0.110224
"Addis Ababa"	0.109856
BUDAPEST	0.108754
WARSAW	0.107987
Tehran	0.107933
KIEV	0.107143
HANOI	0.106918
Cairns	0.106299
ANKARA	0.106281
STOCKHOLM	0.105914
MONTEVIDEO	0.103097
Geneva	0.103076
Santiago	0.102994
Madrid	0.102847
Riyadh	0.102546
Kathmandu	0.102351
BOGOTA	0.102235
COLOMBO	0.102085
DHAKA	0.101781
ZAGREB	0.10143
Lagos	0.100852
Vienna	0.10081
"Buenos Aires"	0.0990888
ATHENS	0.0986999
Paris	0.0986114
Amman	0.097786
Beirut	0.0976065
BEIJING	0.0975511
TIRANA	0.0969107
LISBON	0.0966775
"Mexico City"	0.0965359
Rabat	0.0955262
NICOSIA	0.0952604
"Abu Dhabi"	0.0950559
Urumqi	0.0943482
Moscow	0.0939383
"Dar es Salaam"	0.0937041
Sydney	0.0936284
"Panama City"	0.0927694
CAIRO	0.0925151
Berlin	0.0915868
Helsinki	0.0907558
MAPUTO	0.0906048
YANGON	0.0897001
"Rio de Janeiro"	0.0893155
TEGUCIGALPA	0.0893143
Quito	0.0888675
"Phnom Penh"	0.0868012
Managua	0.0862854
Tbilisi	0.0859409
"KUWAIT CITY"	0.0858764
TUNIS	0.0857063
Gaborone	0.0852582
"Ulan Bator"	0.0847983
Auckland	0.0836339
"ALMA ATA"	0.083441
Khartoum	0.0833728
Pretoria	0.0833188
SANAA	0.0827854
Doha	0.0826864
Fremantle	0.0820693
Durban	0.0819255
Accra	0.0817982
Hangzhou	0.0817625
XI'AN	0.0816753
Sarajevo	0.0813766
Minsk	0.0810044
Abuja	0.0798939
Kunming	0.0796124
Havana	0.0789306
JERUSALEM	0.0787647
Washington	0.0786081
Damascus	0.0782889
Darwin	0.0781925
Singapore	0.0780191
Hefei	0.0778982
Lahore	0.076667
Shanghai	0.0763242
Dublin	0.0755598
Dushanbe	0.0755192
Lausanne	0.0753153
PYONGYANG	0.0752311
Guangzhou	0.0752298
Kigali	0.0747249
BELGRADE	0.0746748
Mbabane	0.0744154
"SANTA FE DE BOGOTA"	0.0737067
Windhoek	0.0736899
Tashkent	0.0735911
Lima	0.0733114
"Cape Town"	0.0732723
Tripoli	0.0728425
Asmara	0.0727768
Copenhagen	0.0723659
Algiers	0.0723453
Baku	0.0723007
Fuzhou	0.0722081
Yinchuan	0.0719754
Kuching	0.0717021
"Tel Aviv"	0.0715943
Vientiane	0.0714027
Ljubljana	0.0709378
"Banja Luka"	0.0702132
"Hong Kong"	0.070117
Glasgow	0.0700574
Changsha	0.0699116
Reykjavik	0.0695409
Dili	0.0692512
Taipei	0.0689167
DUBAI	0.0687011
Istanbul	0.0682227
Nanning	0.067858
Baghdad	0.067502
"San Jose"	0.0673611
Mogadishu	0.0672695
Lanzhou	0.0671701
Murmansk	0.0668439
Maseru	0.0667589
Christchurch	0.0667437
Lome	0.0666886
Oslo	0.0665752
Bern	0.0665502
NANJING	0.0665181
CHENGDU	0.066291
Belfast	0.0656793
Gaza	0.0656263
"Guatemala City"	0.0654997
Suva	0.0651766
Yaounde	0.0650411
"Sao Paulo"	0.0644455
Jinan	0.0643986
PALERMO	0.0642967
MANAMA	0.0641805
"Los Angeles"	0.0637832
Ramallah	0.0631899
"Gaza City"	0.0631518
"The Hague"	0.0629924
Skopje	0.0629112
Alma-Ata	0.0627557
Lyon	0.0627439
Xining	0.0625369
BRATISLAVA	0.0624834
Vilnius	0.0624369
"Ho Chi Minh City"	0.0622787
Kinshasa	0.0621258
Frankfurt	0.0619658
Amsterdam	0.0613649
Hohhot	0.0611106
"Santo Domingo"	0.0610846
Zhengzhou	0.0610442
Haikou	0.0609926
Lhasa	0.0605485
Abidjan	0.0603496
Taiyuan	0.0601998
Karachi	0.0597705
"CHIANG MAI"	0.0597395
Bujumbura	0.0597327
"San Salvador"	0.0597207
Kyoto	0.0595816
Munich	0.0595071
Monrovia	0.059479
Shenyang	0.0589036
Srinagar	0.0586003
Pristina	0.0583303
Almaty	0.0582256
Peshawar	0.0581372
Cartagena	0.0581226
Jayapura	0.0580363
Cebu	0.0579613
Vladikavkaz	0.0578807
))
(cancel (desc 3408.5) (sims
scuttle	0.117428
"push back"	0.112895
decommission	0.094224
fend	0.091408
"cut rate"	0.0789061
one-up	0.0767967
hunker	0.072882
"paying back"	0.0705889
"split up"	0.0700111
marginalize	0.0648256
nix	0.0613415
"short circuit"	0.0582694
redshirt	0.0573514
mete	0.0569016
repurchase	0.0556357
"Turkish Airlines"	0.0501944
"safe harbor"	0.0486062
"Pro Bowls"	0.0476627
filibuster	0.0473437
self-destruct	0.0458507
eats	0.0435327
pinch-hit	0.0430969
rewind	0.0429622
Muslim-Croat	0.0402962
discus	0.0402199
))
(cancellation (desc 34323.5) (sims
postponement	0.175684
closure	0.132065
termination	0.125601
delay	0.12495
Dismissal	0.121681
layoff	0.119927
shutdown	0.119925
suspension	0.118669
cutback	0.111863
removal	0.111599
withdrawal	0.109852
disruption	0.107847
revocation	0.107562
resignation	0.104646
scrapping	0.10437
elimination	0.103933
reduction	0.102394
breakdown	0.101868
devaluation	0.0994567
expulsion	0.0990566
boycott	0.0981192
renegotiation	0.0974629
lifting	0.0969492
rejection	0.0963932
annulment	0.0961534
defection	0.0956644
collapse	0.0948533
closings	0.0947678
blackout	0.0944216
hike	0.0940099
reversal	0.0939732
"price increase"	0.0930984
revision	0.093057
renewal	0.0927528
abolition	0.0920044
failure	0.0918433
reshuffle	0.09039
breakup	0.0898929
dissolution	0.089048
"job cut"	0.0879477
repeal	0.0876263
stoppage	0.08695
pullout	0.0867746
resumption	0.0866637
arrest	0.0862754
announcement	0.0853695
walkout	0.0844476
bankruptcy	0.0841886
seizure	0.0838426
slowdown	0.0829089
default	0.0827813
moratorium	0.0821252
"price cut"	0.081274
rescheduling	0.081258
ouster	0.081256
shortage	0.0811034
closing	0.0810998
evacuation	0.0810759
reorganization	0.0810223
"budget cut"	0.0806165
takeover	0.0802149
departure	0.0801255
"rate cut"	0.0799285
extension	0.0797643
issuance	0.0797552
outages	0.0797183
"work stoppage"	0.0796628
firing	0.07928
adjustment	0.0791915
strike	0.0790671
"policy change"	0.0789915
decision	0.0787021
consolidation	0.0781836
expansion	0.0780703
deployment	0.078069
outcome	0.0780214
liquidation	0.0779291
"rate increase"	0.077707
demise	0.0775853
intervention	0.0774365
plunge	0.0771675
disaster	0.076699
relocation	0.0766502
shortfall	0.0763429
destruction	0.0761333
deportation	0.0759739
disclosure	0.0759701
deregulation	0.0756839
depreciation	0.0756574
reinstatement	0.0752748
"management change"	0.0752281
action	0.0751485
retrenchment	0.0750581
transfer	0.0744879
adoption	0.0742013
divestitures	0.0740321
accident	0.0736127
ban	0.0734887
downturn	0.0734555
sickout	0.0734235
glitch	0.0733766
freeze	0.0733264
Privatization	0.0731706
imposition	0.0726696
confiscation	0.0724191
sanction	0.0723932
merger	0.0723185
"rate hike"	0.0722114
acceptance	0.0720649
loss	0.0716249
lack	0.0714143
eviction	0.071394
"power failure"	0.070949
Execution	0.0707378
absence	0.0704488
"tax increase"	0.0704047
famine	0.0703883
retirement	0.0703079
outage	0.0702646
approval	0.070244
crash	0.0701893
easing	0.0701294
incident	0.0701192
outbreak	0.0698341
overhaul	0.0695053
denial	0.0695048
erosion	0.0693958
refusal	0.0693867
forfeiture	0.069375
interruption	0.0692977
filing	0.0690483
sacking	0.0689614
upheaval	0.0688758
exemption	0.0686413
deterioration	0.0686354
catastrophe	0.0684641
Cessation	0.0682746
repayment	0.0681136
veto	0.06811
eruption	0.0679779
Liberalization	0.0679771
"plant closing"	0.0679455
"military action"	0.0679205
exodus	0.0678791
restriction	0.067828
reevaluation	0.0678059
indictment	0.0677616
appointment	0.0677553
disappearance	0.0676805
payment	0.0676346
"legal action"	0.0676301
crackdown	0.0673509
turmoil	0.0672699
continuation	0.067192
acquisition	0.0670775
Tightening	0.0669552
demolition	0.0668807
"fatal accident"	0.0666741
shakeup	0.0665272
mishap	0.0664388
instability	0.0664056
buyout	0.0662544
explosion	0.066094
abandonment	0.0660693
Acquittal	0.0659791
flood	0.0659231
downsizing	0.0658873
influx	0.0658859
surge	0.065858
meltdown	0.065822
unrest	0.0657767
surrender	0.0656869
completion	0.0654662
review	0.0654055
lawsuit	0.0650427
Death	0.0649702
adjournment	0.0648013
extinction	0.0647713
purchase	0.0647605
sell-off	0.0646284
shake-up	0.0645653
repatriation	0.0645627
enlargement	0.0645443
introduction	0.0643647
restructuring	0.0641403
reform	0.0640057
escalation	0.063961
violence	0.0639547
abduction	0.0639458
Implementation	0.0638037
lockout	0.0637803
demotion	0.0637107
detention	0.0636708
coverage	0.0636361
pardon	0.0635783
availability	0.0634914
recession	0.0634281
timing	0.063428
"bank failure"	0.063402
downgrade	0.0632584
))
(cancer (desc 111368) (sims
disease	0.314886
"heart disease"	0.300214
"lung cancer"	0.297726
diabetes	0.277434
"colon cancer"	0.266505
leukemia	0.258643
infection	0.255757
tumor	0.243321
asthma	0.228793
illness	0.228041
disorder	0.216586
lymphoma	0.208481
pneumonia	0.201732
"Parkinson's disease"	0.19736
ailment	0.194723
malaria	0.19266
"heart attack"	0.191754
tuberculosis	0.191191
HIV	0.190947
"cardiovascular disease"	0.189346
"brain tumor"	0.189117
Osteoporosis	0.18874
hypertension	0.187988
arthritis	0.177256
melanoma	0.175136
"high blood pressure"	0.174257
virus	0.173122
"skin cancer"	0.171207
"multiple sclerosis"	0.16635
Obesity	0.164255
Alzheimer	0.161737
"heart failure"	0.160755
Parkinson's	0.158528
Depression	0.158493
syndrome	0.157816
anemia	0.157597
emphysema	0.154564
schizophrenia	0.151986
flu	0.150528
"liver disease"	0.150233
epilepsy	0.146484
"cystic fibrosis"	0.144041
aid	0.142144
"rheumatoid arthritis"	0.141879
hepatitis	0.139381
diarrhea	0.139358
Alcoholism	0.139218
ulcer	0.138712
injury	0.138652
stroke	0.138233
"congestive heart failure"	0.138154
Tb	0.137072
"infectious disease"	0.136641
cataract	0.136282
allergy	0.134481
Meningitis	0.134383
inflammation	0.133377
complication	0.13308
"kidney disease"	0.131079
glaucoma	0.130874
"mental illness"	0.130725
dementia	0.130685
problem	0.130513
defect	0.130321
"heart condition"	0.129854
infertility	0.12705
symptom	0.126495
abnormality	0.125
autism	0.123424
malnutrition	0.12296
"health problem"	0.122008
lupus	0.121388
prostate	0.121176
polio	0.119335
blindness	0.118841
fever	0.118417
surgery	0.117997
hemophilia	0.117956
epidemic	0.116471
"Lyme disease"	0.116319
cholera	0.114538
"sexually transmitted disease"	0.114237
aids	0.113183
malignancy	0.11256
osteoarthritis	0.112437
HIV/AIDS	0.11105
"malignant tumor"	0.110571
drug	0.11025
"food poisoning"	0.10893
fracture	0.108257
disability	0.108117
bacteria	0.107603
pregnancy	0.105597
influenza	0.105485
bronchitis	0.105461
als	0.105132
pain	0.104864
angina	0.103697
dehydration	0.103593
encephalitis	0.10357
Addiction	0.102601
transplant	0.102574
smoking	0.101934
"AIDS virus"	0.101546
"drug addiction"	0.101511
"cancer cell"	0.100834
damage	0.0995321
"respiratory disease"	0.0991101
lesion	0.0987841
breast	0.0985517
"blood clot"	0.0979339
cholesterol	0.0979223
dysfunction	0.0978697
impotence	0.0975904
"hepatitis B"	0.0975882
syphilis	0.0975582
hemorrhage	0.0972104
"drug abuse"	0.0970908
crime	0.0970183
Death	0.0962897
accident	0.0961161
leprosy	0.0959462
lung	0.0959273
suicide	0.0955404
poverty	0.0955384
"cerebral palsy"	0.0953349
retardation	0.0941561
strain	0.0941385
CJD	0.0941232
"back pain"	0.0940156
condition	0.0938137
migraine	0.0936407
trauma	0.0934391
tissue	0.0931615
patient	0.0925906
"dengue fever"	0.0918636
polyp	0.0917539
treatment	0.0913643
poisoning	0.0912191
wound	0.0903129
stress	0.0900301
violence	0.0894641
cell	0.0891008
therapy	0.0886104
kidney	0.0882212
disaster	0.0880997
"side effect"	0.0880935
contamination	0.0877807
mortality	0.0875108
miscarriage	0.0872903
colon	0.0871408
risk	0.0867919
"eye disease"	0.0862406
measles	0.0859419
sickness	0.0857751
malady	0.085537
exposure	0.0854179
deficiency	0.0852038
pollution	0.0846527
failure	0.084229
headache	0.0841479
deformity	0.0840134
Rabies	0.0839835
mutation	0.0828701
type	0.0828485
Gene	0.0826704
fatigue	0.0821512
"blood pressure"	0.0815836
chemotherapy	0.0814366
paralysis	0.0806052
cold	0.0805698
overdose	0.0804409
hunger	0.0802501
aneurysm	0.0801023
burn	0.0796826
bug	0.0796152
insomnia	0.0794353
diagnosis	0.0792096
heartbeat	0.0789647
seizure	0.0786774
corruption	0.0786263
Dengue	0.0784749
radiation	0.0777691
diarrhoea	0.0777219
abortion	0.0776484
health	0.0776477
effect	0.0770829
"drug use"	0.0770382
liver	0.0765332
cause	0.0764513
"mental disorder"	0.0763485
abuse	0.0763378
form	0.076229
outbreak	0.0759692
case	0.0755965
bladder	0.0754123
unemployment	0.0751816
inflation	0.0742053
terrorism	0.073692
parasite	0.0736249
))
("cancer cell" (desc 7472.17) (sims
tumor	0.171432
"brain cell"	0.150814
cell	0.14783
bacteria	0.124202
"nerve cell"	0.123462
"blood cell"	0.122939
tissue	0.117744
"AIDS virus"	0.111562
pathogen	0.108065
T-cells	0.107017
cancer	0.100834
virus	0.0999597
"white blood cell"	0.0994172
microorganism	0.094382
organism	0.0939463
microbe	0.0932385
"blood vessel"	0.0895357
Gene	0.0858996
Embryo	0.0855049
malignancy	0.0854716
"muscle cell"	0.0853615
germ	0.0849609
"hair follicle"	0.0842479
"cancer death"	0.0832373
neuron	0.0823198
melanoma	0.0821246
lesion	0.0804544
"skin cell"	0.0798597
mice	0.0791882
cyst	0.0785701
"Human Immunodeficiency Virus"	0.0773309
parasite	0.0756973
fungus	0.0747993
HIV	0.0727959
antibody	0.0726293
protein	0.0722803
"skin cancer"	0.0705233
salmonella	0.0705125
algae	0.0701725
"bone marrow"	0.0697089
"coca crop"	0.0690731
receptor	0.0690117
fungi	0.0689774
"malignant tumor"	0.0687868
toxin	0.0680992
cirrhosis	0.0677023
antigen	0.0668807
"red blood cell"	0.0666943
brain	0.0661133
enzyme	0.0658226
mitochondria	0.0649571
liver	0.0648884
follicle	0.0642218
"fruit fly"	0.0641453
ovary	0.0638986
hormone	0.0638716
"water hyacinth"	0.0628471
insect	0.0627757
"T cell"	0.0627315
"foot-and-mouth disease"	0.0626884
ailment	0.0624632
hepatitis	0.0620683
larvae	0.0619451
sperm	0.0616293
molecule	0.0609899
intestine	0.0609578
bloodstream	0.0607478
smallpox	0.0604749
polyp	0.060346
Webdale	0.0602122
prostate	0.0602006
coli	0.0601829
canker	0.0600213
"lung cancer"	0.059987
cornea	0.0588909
spore	0.0587635
fetus	0.0584782
bacterium	0.057986
"hepatitis B"	0.0577268
mutation	0.057583
infection	0.0575476
"colon cancer"	0.0574065
placenta	0.0569052
chromosome	0.0560716
dioxins	0.0558331
"brain tumor"	0.0556943
"human body"	0.055456
abnormality	0.0552859
"genetic disease"	0.0552711
plankton	0.0547272
weed	0.0545538
"internal organ"	0.0537774
urine	0.0534061
Rabies	0.0532113
DNA	0.0531936
"embryonic cell"	0.0530728
Lice	0.0526849
retina	0.0523246
"nervous system"	0.0519056
pest	0.0511606
clitoris	0.0510898
serum	0.0505858
syphilis	0.0504412
"human being"	0.0500114
"chemical agent"	0.0499713
"air bubble"	0.0499652
saliva	0.0499336
"right whale"	0.0498906
clot	0.0497909
dioxin	0.0495616
"central nervous system"	0.0494022
disorder	0.0493909
kidney	0.0491307
carcinogen	0.0487964
"life form"	0.0485402
biopsy	0.0484323
adenovirus	0.0483673
"plant disease"	0.0483087
pancreas	0.048299
worm	0.0479067
BSE	0.0476607
mosquito	0.0476068
"weak point"	0.0474798
"guinea pig"	0.0472866
"Homo erectus"	0.0470072
rat	0.0464096
"Lyme disease"	0.0463254
mildew	0.0463004
monkey	0.0461692
leukemia	0.0460209
thyroid	0.0459909
lymphoma	0.0459736
"mountain gorilla"	0.0458217
diabetes	0.0458025
nucleus	0.0457056
semen	0.0455428
"fire ant"	0.0454321
Endostatin	0.0454149
nodule	0.045244
locust	0.0452252
fluid	0.0451499
inflammation	0.0451399
"amino acid"	0.0451212
marrow	0.0451007
particle	0.0449322
toxicity	0.0448854
Youk	0.0448537
hemophiliac	0.0447587
gonorrhea	0.0445752
telomerase	0.0443537
lump	0.0443408
"vital organ"	0.0441777
mammal	0.043799
hippocampus	0.0436799
termite	0.0436486
"money supply"	0.0435985
"mental disorder"	0.043573
"Thomas Youk"	0.0434878
"tax shelter"	0.0434653
"spinal cord"	0.0434505
clotting	0.0433899
allergen	0.0432831
aphid	0.043241
Tb	0.0432215
noncombatant	0.0432082
"West Nile"	0.0431674
abscess	0.0431067
"monarch butterfly"	0.0430942
"young person"	0.043064
yeast	0.0430282
impurity	0.0429267
"animal disease"	0.0428016
shalt	0.0427738
"ice crystal"	0.0426573
cartilage	0.0426178
nerve	0.0425806
malaria	0.0421109
angiogenesis	0.0420793
cortex	0.0419438
"acquired immune deficiency syndrome"	0.0417905
"subatomic particle"	0.0416085
rollovers	0.0412685
carcinoma	0.0411778
influenza	0.0411073
O@@@:H@	0.0409426
"prostate gland"	0.0408261
"tropical rain forest"	0.0407121
esophagus	0.0405728
diabetic	0.0405213
discoloration	0.040365
"giant panda"	0.0402292
imperfection	0.0401439
Lichen	0.0401325
))
("cancer death" (desc 3033.96) (sims
recidivism	0.154755
absenteeism	0.131198
miscarriage	0.128144
morbidity	0.121971
mortality	0.119714
"death rate"	0.117832
"mortality rate"	0.116195
fatality	0.11596
homeownership	0.114516
"lung cancer"	0.109153
incidence	0.105998
SIDS	0.103095
"bank rate"	0.10281
joblessness	0.101882
"poverty rate"	0.100771
"take-home pay"	0.0996987
infertility	0.0993828
"truck sale"	0.0980223
"birth rate"	0.0960484
"fatal accident"	0.0951935
Obesity	0.0951895
infection	0.0941372
"lead poisoning"	0.0937715
C-section	0.0928013
"cardiovascular disease"	0.0924185
delinquency	0.0919797
"fertility rate"	0.0917255
prevalence	0.0913722
abnormality	0.0909355
"juvenile delinquency"	0.0901472
biopsy	0.0880305
hospitalization	0.0880053
malnutrition	0.0866794
"life expectancy"	0.0859876
relapse	0.0858698
centenarian	0.0855837
gonorrhea	0.0848483
"cancer cell"	0.0832373
"operating expenses"	0.0825905
"live birth"	0.0825011
"medicare payment"	0.0818576
cirrhosis	0.0816846
enrolment	0.0811172
"heart disease"	0.0808738
homicide	0.0795945
tumor	0.0794086
vasectomy	0.0793127
"bankruptcy filing"	0.0790231
malignancy	0.0778267
evaporation	0.0776368
"AIDS patient"	0.0774907
"engine failure"	0.0769961
rollovers	0.0768453
"personal income"	0.0763841
illiteracy	0.0752515
recurrence	0.0749449
enlistee	0.0748836
"vehicle sale"	0.0748545
"voter turnout"	0.0741516
"more than @@ inches"	0.071521
fertility	0.0713779
"housing sale"	0.0707099
"producer price"	0.0704293
caseload	0.0701251
"crime rate"	0.0700592
enrollment	0.0698078
ailment	0.0694587
"hot flash"	0.0693356
illiterate	0.0692249
lesion	0.068501
enrollee	0.0678341
dropout	0.0677864
"skin cancer"	0.0674251
melanoma	0.0671692
pregnancy	0.06684
"tax income"	0.0667408
"insurance premium"	0.0667269
"unemployment rate"	0.0664636
"defense budget"	0.0664524
caseloads	0.0661902
"blood pressure"	0.066118
derailment	0.0656088
"labor force"	0.0650427
"Producer Price Index"	0.064979
dysfunction	0.0645213
literacy	0.0644128
"operating cost"	0.064052
sickness	0.0637212
"home sale"	0.0635985
augmentation	0.0634448
Caesarean	0.0633731
"job cut"	0.0632456
"liver disease"	0.0631589
"elephant population"	0.0629785
drownings	0.0629299
"factory order"	0.0628882
"capital expenditure"	0.0627322
interbank	0.0626722
"power failure"	0.0623726
"gross income"	0.0621677
syphilis	0.0618685
"retail price index"	0.0617807
migraine	0.0616451
"production cost"	0.0615537
leukemia	0.0615063
"ill health"	0.0615029
ridership	0.0614426
deforestation	0.0612438
mutation	0.0612061
Burnout	0.0610135
"selling price"	0.0609151
"heart attack"	0.0608855
Osteoporosis	0.0607996
"steel production"	0.060721
"sexually transmitted disease"	0.0605823
registrant	0.0604168
T-bill	0.060372
sq.km	0.0603599
"working day"	0.0600175
"Greek Orthodox Church"	0.0599933
viewership	0.0598196
"occupancy rate"	0.0596648
"Iranian POWs"	0.0596575
"bond price"	0.0596524
"blood donor"	0.0595832
overdraft	0.0594985
Inoculation	0.0591972
eighth-graders	0.0588708
ulcer	0.0586313
antigen	0.0585204
factionalism	0.0584457
"gross national product"	0.05817
"retail price"	0.0580566
fibrillation	0.0580563
deafness	0.0580489
malady	0.057957
Meningitis	0.0574653
asthma	0.0572017
CPI	0.0571185
"export sale"	0.0570984
"drug use"	0.0570732
"body temperature"	0.0568715
"bank deposit"	0.0568595
B-@s	0.0566172
intermarriage	0.0561827
"heroin addiction"	0.055938
"customs duty"	0.0557113
abscess	0.0555985
blindness	0.0554093
redundancy	0.0552497
"food poisoning"	0.0552188
hemorrhage	0.0551642
"borrowing cost"	0.055164
"consumer credit"	0.0548464
"respiratory disease"	0.0548281
nearsightedness	0.0548065
"marketing cost"	0.0547375
variability	0.0544423
"price competition"	0.0544082
indigestion	0.0543909
"oil production"	0.0542503
outlay	0.0541168
"property tax"	0.054098
throughput	0.0540831
vacancy	0.0538878
"heart rate"	0.0538441
workforce	0.0537424
"death benefit"	0.0537415
"tax collection"	0.0536741
mishap	0.0534687
laid-offs	0.0531915
"gas price"	0.0531874
Tonnage	0.0530278
subsidence	0.052961
"employment growth"	0.0528785
spillage	0.052815
meticais	0.0527438
syndrome	0.0526812
"operating budget"	0.0525304
"tooth decay"	0.0524228
atherosclerosis	0.052405
probationer	0.0523792
inflammation	0.0521818
"acid rain"	0.0521292
"retail sale"	0.0519337
"asset value"	0.0518658
"health problem"	0.051726
SBI	0.0516581
payout	0.05114
adherent	0.0510804
payouts	0.0510144
condensation	0.0508823
uninsured	0.050821
amputation	0.0505419
"high blood pressure"	0.0505125
"consumption tax"	0.050372
acreage	0.0503135
discoloration	0.0502879
metical	0.050281
"drug abuse"	0.0501884
))
(CANCUN (desc 8265.32) (sims
Acapulco	0.166425
"Puerto Vallarta"	0.153627
Cozumel	0.140387
Eilat	0.137229
Matamoros	0.137227
Ensenada	0.134122
Honolulu	0.1175
"Montego Bay"	0.117176
Veracruz	0.112269
Antalya	0.11159
"Atlantic City"	0.110056
"Ciudad Juarez"	0.109264
Guadalajara	0.108894
Cartagena	0.106989
"Key West"	0.104148
Beidaihe	0.102993
Tijuana	0.0988381
Davos	0.0971087
Nago	0.0964499
"Myrtle Beach"	0.0962991
"Santo Domingo"	0.096217
"La Paz"	0.0960824
Havana	0.0952644
Aqaba	0.094587
Monterrey	0.0944731
Pattaya	0.0942447
Mombasa	0.0937588
"Victoria Falls"	0.0931455
Chamonix	0.0929621
"Nuevo Laredo"	0.0925885
Sochi	0.0923297
Luxor	0.0922761
Peshawar	0.0919712
Bahamas	0.0913117
Jeddah	0.0907178
"Las Vegas"	0.0905249
Merida	0.0900971
"Mexico City"	0.0897847
CARACAS	0.0887941
"Ho Chi Minh City"	0.08825
Naples	0.088193
Zhangjiajie	0.0879968
Phuket	0.0877385
Larnaca	0.0877036
BUDAPEST	0.0872334
Alexandria	0.086757
Barbados	0.0864715
Istanbul	0.0864691
Durban	0.0863896
Strasbourg	0.0860813
Puebla	0.0858692
Cochabamba	0.0855281
Quito	0.08532
Bali	0.0851848
Nogales	0.0842521
"San Juan"	0.0835704
el-Sheikh	0.0835248
Juarez	0.0827734
Vail	0.0820732
"New Orleans"	0.0818855
Luanda	0.0814304
WARSAW	0.0813605
Halifax	0.0809967
Hawaii	0.080602
Christchurch	0.0803148
Maui	0.0797657
"Fort Lauderdale"	0.0797399
Algiers	0.0794582
Antigua	0.0789655
"Tel Aviv"	0.0787731
"Guatemala City"	0.0786127
Sanya	0.0782021
Bangkok	0.0781732
Davao	0.0781236
"Cape Town"	0.0780508
Guilin	0.0777841
Bermuda	0.0777575
"St. Petersburg"	0.0777515
Wildwood	0.0773063
BOGOTA	0.0772826
Managua	0.0772561
Salzburg	0.0771999
"El Paso"	0.0771989
"Little Rock"	0.0771904
Cannes	0.0769693
"Sao Paulo"	0.0767272
Vladivostok	0.0767076
Jalalabad	0.0764537
Tripoli	0.0762624
"CHIANG MAI"	0.0759644
BUCHAREST	0.0759625
Wenzhou	0.0758316
Tampa	0.0753832
"Miami Beach"	0.0751876
Cebu	0.0751375
Auckland	0.0749862
"San Salvador"	0.0749492
Laredo	0.0748222
Monterey	0.0747992
Taba	0.0745816
TUNIS	0.0745344
Oaxaca	0.0739757
Orlando	0.0737779
Bangor	0.0737623
Newark	0.0736077
Windhoek	0.0730465
Madrid	0.0730078
KIEV	0.0726205
"Banja Luka"	0.0725959
"Phnom Penh"	0.0725896
Santiago	0.0725617
DUBAI	0.0725535
Dushanbe	0.0725268
Zurich	0.0724053
Amman	0.0722254
Utica	0.0720637
Vienna	0.0720129
Calcutta	0.0720129
Jamaica	0.0719647
Birmingham	0.0718832
Izmir	0.0714588
Amsterdam	0.0714079
"Kuala Lumpur"	0.0712297
"San Pedro Sula"	0.0712227
Lubbock	0.0711231
JOHANNESBURG	0.0710348
Murmansk	0.0708606
Beirut	0.0707411
LISBON	0.0706494
Izmit	0.0704113
PALERMO	0.0703294
Lahore	0.0702731
Langkawi	0.0701711
Osaka	0.0700797
Nassau	0.0699908
Berlin	0.0699305
Nagoya	0.0699198
"Des Moines"	0.0698845
Ambon	0.0695772
Wilmington	0.0690949
"Buenos Aires"	0.0688872
Tokyo	0.0688275
Aspen	0.0686404
Toluca	0.0684947
Rome	0.0684659
HANOI	0.0684643
Arusha	0.0684522
Mandalay	0.0684443
Bethlehem	0.0682032
"San Jose"	0.0681373
Kisumu	0.0680189
Duesseldorf	0.0678765
MELBOURNE	0.0677726
Abidjan	0.0676656
Frankfurt	0.0676491
"Hilton Head"	0.0676057
Tbilisi	0.0673244
Malta	0.0672833
TEGUCIGALPA	0.0672628
Perth	0.0671974
Minneapolis	0.0671898
Copenhagen	0.0671455
Lyon	0.0671288
Helsinki	0.0670134
ZHOUSHAN	0.0669818
"Salt Lake City"	0.0668776
Cali	0.0668056
Prague	0.0667621
Aswan	0.0666752
SEOUL	0.0665844
Gudermes	0.0665489
Rabat	0.0665219
Taipei	0.0663651
"Park City"	0.0662585
"East Hampton"	0.0662404
ATHENS	0.0662382
Maldives	0.0662147
BRUSSELS	0.0661276
TALLAHASSEE	0.0661188
Kaduna	0.0659913
Dubrovnik	0.0659655
Hamburg	0.0659598
Munich	0.0659526
"Rio de Janeiro"	0.0658219
Seville	0.0658021
Bulawayo	0.0657225
Phoenix	0.0657028
Kigali	0.0656166
Rafah	0.065602
Venice	0.065571
Khartoum	0.0655293
Manchester	0.0655026
Baku	0.0653332
"Puerto Rico"	0.0653179
Raleigh	0.0652428
Pasadena	0.0652383
Geneva	0.0652289
Shiraz	0.0651276
Youngstown	0.0650924
Dublin	0.0650409
))
(candelabra (desc 2177.56) (sims
menorah	0.106493
chandelier	0.0990067
"writing desk"	0.0948575
teapot	0.0884656
creche	0.0870661
glassware	0.085223
"tea set"	0.0810909
sconce	0.0795601
candlestick	0.0772067
"oil lamp"	0.0768895
flatware	0.0751121
tapestry	0.0739484
commode	0.0728664
"oil painting"	0.072735
vestment	0.0723755
lantern	0.0713116
"side chair"	0.07124
urn	0.0704087
vase	0.0687738
lamp	0.0659461
"place setting"	0.0658652
"stained-glass window"	0.062744
"Star of David"	0.0620318
statuary	0.0619902
settee	0.0619616
napkin	0.0606436
Crescent	0.0600148
cutlery	0.0598088
furnishings	0.0593904
bracelet	0.0586715
"kerosene lamp"	0.0575129
"kitchen appliance"	0.0570638
ingot	0.0558517
cufflink	0.0554372
silverware	0.0551827
cherub	0.0551272
crucifix	0.0542923
utensil	0.0542419
metalwork	0.0540458
"stained glass"	0.0539202
vas	0.0535176
chalice	0.0526586
knickknack	0.0525086
"pocket watch"	0.0525047
orb	0.0520083
"lighting fixture"	0.0519897
"cigarette lighter"	0.0514288
medallion	0.0512969
brooch	0.0512587
ceramic	0.0512573
"evening bag"	0.0511326
porcelain	0.0509775
platter	0.0508646
carving	0.0507727
lamppost	0.0507411
kettle	0.0504894
"piece of cloth"	0.0504417
filigree	0.050114
embroidery	0.0500793
curio	0.0500401
rug	0.0497553
balustrade	0.0497498
cockatoo	0.0491985
bric-a-brac	0.0490777
tableware	0.0488542
Pottery	0.0487269
dinnerware	0.0479966
Goblet	0.0479894
gilt	0.0477555
"fire wall"	0.0472272
"Qin Yiyuan"	0.0468681
"Sandra Voelker"	0.0466944
"Toyota Corolla"	0.0466476
ebony	0.0462279
"speaker system"	0.0459616
"afternoon tea"	0.0457144
"Mercedes Benz"	0.0456596
"air filter"	0.045311
handicraft	0.0452666
Streetcar	0.0452222
"picture frame"	0.0452146
"street lamp"	0.0448679
Jawbreaker	0.0447829
"wall hanging"	0.0445726
armchair	0.044474
mosaic	0.0441674
"Marina Anissina"	0.0437804
"Paolo Di Canio"	0.0436437
Picassos	0.043584
woodcut	0.0434404
wristwatch	0.0434186
"Susanthika Jayasinghe"	0.0433731
confetti	0.0431365
lithograph	0.0430954
etching	0.0430661
"fine art"	0.0428972
"dining table"	0.0428819
"Simona Amanar"	0.042854
beaker	0.0428177
burner	0.0428056
paperweight	0.0426829
musicologist	0.0422896
patina	0.0422159
armoire	0.0420133
"light bulb"	0.0419909
cauldron	0.0419416
"musical instrument"	0.0419075
warhorse	0.041902
"feather boa"	0.0416956
earring	0.0416787
tumbler	0.041647
"Daniel Kowalski"	0.0416391
latke	0.0413059
"exercise equipment"	0.041207
Casket	0.0408817
"Cheah Soon Kit"	0.0407797
prong	0.0407102
armor	0.0404609
rosette	0.0403413
"Diet Coke"	0.0401177
"art dealer"	0.0400577
))
(candidacy (desc 58493.4) (sims
nomination	0.15516
campaign	0.135262
bid	0.133675
candidature	0.127421
candidate	0.121855
"senate campaign"	0.115578
proposal	0.107023
endorsement	0.104573
election	0.101009
appointment	0.0992795
nominee	0.0979782
plan	0.096676
"running mate"	0.090483
"senate race"	0.0890624
reelection	0.0884437
presidency	0.0859019
initiative	0.0857633
supporter	0.0825114
resignation	0.081049
vote	0.0807405
legislation	0.0803028
challenger	0.0802805
campaigning	0.0788199
decision	0.0780372
impeachment	0.0775221
backer	0.0772979
effort	0.076949
support	0.0763083
prospect	0.0754577
merger	0.075387
ambition	0.0744986
status	0.0742727
censure	0.074043
membership	0.0739005
participation	0.0728341
idea	0.0725163
agenda	0.0723437
strategy	0.0722083
primary	0.0713536
challenge	0.0708255
withdrawal	0.0707983
deal	0.0705672
frontrunner	0.0705504
"tax cut"	0.0702663
action	0.0701116
amendment	0.0700423
aspiration	0.0700241
position	0.0696471
reform	0.0694541
Bush	0.0692553
bill	0.0692051
"George W. Bush"	0.0691511
takeover	0.0691502
statehood	0.0691208
"Al Gore"	0.0689226
policy	0.0688413
process	0.0687924
entry	0.068485
selection	0.0684535
contest	0.0681533
qualification	0.0678661
"press secretary"	0.0675557
voting	0.0674862
gore	0.0672873
race	0.0672178
speech	0.0671799
referendum	0.0671304
choice	0.0671204
credential	0.0669293
contender	0.0667925
Dismissal	0.0666941
announcement	0.0663752
McCain	0.0662968
leadership	0.0658599
front-runner	0.0657287
petition	0.0652012
chance	0.0650692
balloting	0.0650245
opponent	0.0647467
appeal	0.0644908
Treaty	0.0644662
presence	0.0644033
expansion	0.0643023
role	0.0641796
Coalition	0.0640212
confirmation	0.0638804
"trade bill"	0.0637717
intervention	0.0637383
"campaign for governor"	0.0636324
quest	0.0635813
shoo-in	0.0635468
measure	0.0634763
accord	0.0634748
"death penalty"	0.0633757
marriage	0.0633423
aspirant	0.0632092
involvement	0.0630826
ballot	0.0629596
approach	0.0628432
defeat	0.0626347
rival	0.0625947
"Bill Bradley"	0.0624606
stance	0.0623057
politics	0.062118
opposition	0.0619954
"Republican Party"	0.0618447
debate	0.0617362
relationship	0.0617063
renewal	0.0616983
"campaign official"	0.0616739
Alliance	0.0611562
aide	0.0610139
government	0.0606643
popularity	0.0605843
notion	0.0605326
adoption	0.0604731
Declaration	0.0602804
agreement	0.0602434
criticism	0.0602351
"John McCain"	0.0601054
remark	0.0600315
future	0.0599794
veto	0.0598283
compromise	0.0597914
"military action"	0.0597361
outcome	0.0595682
fate	0.0595016
attempt	0.0594978
pardon	0.0593913
success	0.0593802
removal	0.0591114
resolution	0.0589612
request	0.0589226
showing	0.0588795
"short list"	0.0585119
Clinton	0.0580751
victory	0.0580531
accession	0.0580259
airstrikes	0.0579151
Bradley	0.0578004
departure	0.0577544
pact	0.0577117
movement	0.0575737
assertion	0.0575482
possibility	0.0575149
"rate increase"	0.0574763
party	0.0574173
"rate cut"	0.0573194
slate	0.0572323
intention	0.0571339
Republican	0.0570941
"gun control"	0.0569899
suggestion	0.0568923
"foreign policy"	0.0568911
voter	0.0568601
deployment	0.0566534
tactic	0.0566432
enlargement	0.0565791
case	0.0565685
approval	0.0565522
admission	0.0564117
retirement	0.0563541
poll	0.0563155
Privatization	0.0562707
independence	0.056262
economy	0.0562465
ally	0.0561661
defection	0.0560447
negotiation	0.0558139
clemency	0.055798
GOP	0.0556581
tenure	0.0556327
peace	0.0556041
administration	0.0555966
lawsuit	0.0555957
inquiry	0.0554731
Buchanan	0.0553967
application	0.0551666
voucher	0.055093
boycott	0.0550699
abortion	0.0550677
Forbes	0.0550497
credibility	0.0547873
motion	0.0547679
"Reform Party"	0.054609
recommendation	0.0545807
Democrat	0.0542573
reunification	0.0542048
inclusion	0.0541555
democracy	0.0539643
homosexuality	0.0537083
"Proposition @@@"	0.0536803
coup	0.0536372
development	0.0535424
trip	0.053525
indictment	0.0535047
rejection	0.0533481
resumption	0.053267
"Democratic Party"	0.0530909
backing	0.0530654
))
(candidate (desc 302995) (sims
nominee	0.231407
Republican	0.183617
Bush	0.179469
Democrat	0.178133
politician	0.176797
contender	0.176179
leader	0.165851
gore	0.165544
"George W. Bush"	0.16372
senator	0.163091
Governor	0.156459
opponent	0.15442
front-runner	0.150685
challenger	0.14997
"vice president"	0.149107
rival	0.149038
member	0.148549
McCain	0.147688
party	0.146776
President	0.145888
Bradley	0.142285
"Al Gore"	0.138154
lawmaker	0.134702
conservative	0.132714
voter	0.131662
"running mate"	0.130083
"John McCain"	0.129257
Mayor	0.127835
supporter	0.126436
"Bill Bradley"	0.125533
legislator	0.124059
player	0.123317
candidacy	0.121855
Clinton	0.12023
aspirant	0.120143
campaign	0.119644
"political party"	0.119412
nomination	0.117961
man	0.116986
incumbent	0.113957
applicant	0.113036
people	0.112278
"Steve Forbes"	0.111983
Giuliani	0.111137
Speaker	0.110126
delegate	0.110038
hopefuls	0.108784
group	0.107993
minister	0.106193
choice	0.104002
activist	0.102932
Forbes	0.102541
official	0.102472
student	0.102253
individual	0.102042
government	0.101629
person	0.101485
"Pat Buchanan"	0.101232
DOLE	0.101004
Congressman	0.100345
election	0.100225
athlete	0.0998579
vote	0.0998106
team	0.099566
company	0.0987015
woman	0.0982581
"Bob Dole"	0.0980795
ally	0.0980347
someone	0.097606
moderate	0.0971293
competitor	0.0966269
"elected official"	0.0964631
chairman	0.0962015
"George Bush"	0.095964
leadership	0.0956548
Buchanan	0.0948927
representative	0.0948927
those	0.0939371
organization	0.093552
successor	0.0934357
lawyer	0.0928673
congressmen	0.0926653
"Gary Bauer"	0.0922848
"Hillary Rodham Clinton"	0.0921963
opposition	0.0915505
"first lady"	0.0912462
state	0.0911971
guy	0.0907012
liberal	0.0893948
"Democratic Party"	0.0893581
Pataki	0.0892113
Netanyahu	0.0890213
winner	0.0890131
proposal	0.0888143
coach	0.0886066
reformer	0.0885923
Congress	0.0882471
deputy	0.0872075
country	0.0871102
Coalition	0.0870661
Labastida	0.087056
American	0.086794
GOP	0.0867288
independent	0.0863452
General	0.0861423
others	0.0859408
partner	0.0856137
"Elizabeth Dole"	0.0855783
manager	0.0855433
him	0.0853726
doctor	0.0853456
favorite	0.0852238
primary	0.0848606
investor	0.0848444
advocate	0.0847546
donor	0.0847138
Barak	0.0846616
critic	0.0846372
contestant	0.0844654
"Republican Party"	0.0843939
administration	0.0843813
plan	0.0841266
bidder	0.0841098
worker	0.084039
participant	0.0837289
one	0.0836533
"political leader"	0.0836131
committee	0.0835121
anyone	0.083393
aide	0.0833033
teacher	0.0832404
MP	0.0830366
judge	0.0829405
D'Amato	0.0829026
race	0.082573
citizen	0.0822509
prosecutor	0.0822368
Quayle	0.0822083
faction	0.0820905
nation	0.0818734
executive	0.0818438
parent	0.0815591
outsider	0.081052
child	0.0810515
employee	0.0806961
secretary	0.0806797
finalist	0.08064
journalist	0.0805131
Lieberman	0.0801429
Putin	0.0799944
support	0.0797629
figure	0.0796536
issue	0.0795378
Lazio	0.0794572
owner	0.0792761
resident	0.0791204
friend	0.0790208
bid	0.0788183
family	0.078701
"Bill Clinton"	0.0785741
majority	0.0784212
them	0.0781883
"Hillary Clinton"	0.0775763
seat	0.0772611
constituency	0.0772188
artist	0.077216
chief	0.0771332
driver	0.0770264
"George Pataki"	0.0768043
alternative	0.0767648
officer	0.0767397
witness	0.0766601
program	0.0766236
Yeltsin	0.076266
farmer	0.0762154
backer	0.0758841
agency	0.0757754
professional	0.0757653
buyer	0.0756349
"Gray Davis"	0.0755892
bill	0.0754369
adviser	0.0753762
consumer	0.0753132
customer	0.0752026
colleague	0.0750736
many	0.0749065
union	0.0748708
Chancellor	0.0748094
employer	0.0746679
actor	0.0745933
Premier	0.0742459
Nader	0.0741063
patient	0.0740189
victim	0.0739623
community	0.0736772
foe	0.0734899
institution	0.0734427
authority	0.0733949
commissioner	0.073198
PRI	0.0729772
))
(candidature (desc 4647.38) (sims
renomination	0.137448
candidacy	0.127421
reappointment	0.123468
aspirant	0.0769685
polling	0.0756869
reelection	0.0742603
namelist	0.0694194
"standard bearer"	0.0685636
rigging	0.063354
"tax change"	0.0632367
"right to vote"	0.0618053
Koehler	0.0601594
Koch-Weser	0.0598621
"term of office"	0.0597195
shoo-in	0.0588224
"compromise plan"	0.0571196
toppling	0.0566747
"Secretary-General Boutros Boutros-Ghali"	0.0565741
"reorganization plan"	0.056416
McGreevey	0.0553855
joining	0.0551766
counting	0.0545682
frontrunner	0.0542113
"Secretary General Boutros Boutros-Ghali"	0.0539606
by-elections	0.0531934
qualification	0.0530657
"trade bill"	0.0524557
"absolute majority"	0.0506439
"Biljana Plavsic"	0.0504116
balloting	0.0498027
"Sydney Organizing Committee"	0.049656
"Shimon Peres"	0.0494062
"secret plan"	0.049398
Patasse	0.0492877
"Export Processing Zones"	0.0492323
"Congress Party"	0.0481834
accreditation	0.0479708
runoff	0.0478035
"Proposition @"	0.0474495
"proxy fight"	0.0472484
"election commission"	0.0472003
MFN	0.0468876
"U.N. Observer Mission"	0.0468559
mediation	0.0464756
"Israel Defense Forces"	0.045821
commutation	0.0458206
elector	0.0457365
"surprise resignation"	0.0457096
"National Sports Council"	0.0456241
"expansion plan"	0.0453512
"sudden death"	0.0448449
Noboa	0.0446227
counterbid	0.0445609
postponement	0.0442618
"Independent Electoral Commission"	0.0440451
"tax increase"	0.0438281
"Human Rights Commission"	0.0438155
"Horst Koehler"	0.043597
hopefuls	0.0435586
Kashmiris	0.0435475
vote-buying	0.0433137
"American plan"	0.0432412
amnesty	0.0428506
extradition	0.0426848
fast-track	0.0426649
disqualification	0.0422238
statehood	0.041901
"Electoral Commission"	0.041836
reinstatement	0.0418181
Jospin	0.0416802
clemency	0.0416442
PNTR	0.041617
certification	0.0415752
"rise to power"	0.041268
"chief of state"	0.0412658
"Kenya African National Union"	0.0412278
"Commerce Ministry"	0.0411934
Hoffa	0.0411007
"tax hike"	0.0410679
annulment	0.0410666
Blatter	0.0409916
"Speaker Ali Akbar Nateq-Nouri"	0.0409375
"international criminal court"	0.0409243
"High Commission"	0.0408957
dissolution	0.0407752
"nuclear explosion"	0.0407731
sacking	0.0407642
annexation	0.0407104
"Lower House"	0.0405568
"Uganda People's Defense Forces"	0.0405453
lifting	0.0404685
Rafsanjani	0.0404491
Fujimori	0.0404252
"Turkish Republic of Northern Cyprus"	0.0400963
Bashar	0.0400829
"United Front"	0.0400125
Moi	0.0400108
))
(Candiotti (desc 1321.79) (sims
Bottenfield	0.235051
Eldred	0.220957
Petkovsek	0.218997
Kile	0.208565
Checo	0.206976
Mercker	0.204752
Bohanon	0.204245
Remlinger	0.203336
Rusch	0.201223
Schourek	0.201169
Astacio	0.197405
Burkett	0.197068
Schoeneweis	0.194573
Radke	0.193058
Harnisch	0.191991
Dempster	0.189545
Nagy	0.187512
"Eric Milton"	0.183527
Daal	0.18337
Trachsel	0.183047
Hentgen	0.182132
Lieber	0.181936
Reynoso	0.181841
Fassero	0.17954
Ankiel	0.177671
Isringhausen	0.177178
Loaiza	0.173996
"Chris Carpenter"	0.170769
Nomo	0.168577
Benes	0.16847
Mlicki	0.167374
Mulholland	0.162632
Pavano	0.161571
Etherton	0.160322
Millwood	0.158507
Hershiser	0.158488
"Steve Sparks"	0.157386
Moyer	0.157339
Dreifort	0.157133
Bere	0.157057
Yoshii	0.155774
"Jesus Sanchez"	0.155323
Halama	0.154407
Olivares	0.154328
Hermanson	0.154013
D'Amico	0.15306
Hudek	0.152946
Guzman	0.152276
Rueter	0.150517
Cloude	0.150319
Rapp	0.148986
"Steve Parris"	0.148868
Gagne	0.148496
Pulsipher	0.147626
"John Snyder"	0.147527
"Jon Lieber"	0.147353
Mantei	0.147217
"Russ Ortiz"	0.146576
"Javier Vazquez"	0.146107
Orosco	0.14603
Belcher	0.145667
Mussina	0.144981
Herges	0.144862
Dickson	0.144054
fetter	0.144026
Meche	0.142436
Arrojo	0.142089
Stottlemyre	0.141234
Neagle	0.140933
Washburn	0.140866
Moehler	0.14085
Tapani	0.140835
McDOWELL	0.140787
"Mark Portugal"	0.139435
Appier	0.139259
"Jamey Wright"	0.139178
Parris	0.138594
Vazquez	0.137047
Perisho	0.136916
Cordova	0.136431
Woodard	0.136078
Gooden	0.13574
"John Burkett"	0.135731
"BRIAN MEADOWS"	0.13413
"Dustin Hermanson"	0.13376
"Francisco Cordova"	0.132707
Dotel	0.13182
Sele	0.131328
Wakefield	0.1311
"Randy Myers"	0.130953
"Scott Karl"	0.130907
"Jeff Weaver"	0.130498
Tomko	0.129978
Saberhagen	0.129647
Glynn	0.129635
Elarton	0.128201
"Jim Parque"	0.128181
"Robb Nen"	0.126901
Haynes	0.126677
"Mike Sirotka"	0.126193
"Jason Bere"	0.125386
Burba	0.125179
"Pat Rapp"	0.125152
"Tom Candiotti"	0.125121
"Dwight Gooden"	0.124775
Valdes	0.124122
"Jason Schmidt"	0.123997
Smoltz	0.123659
Ortiz	0.123655
Yarnall	0.121791
"Brian Moehler"	0.121421
"Hideo Nomo"	0.121359
"Kevin Tapani"	0.121338
"Wilson Alvarez"	0.121149
"Chuck Finley"	0.12065
"Brian Anderson"	0.120606
"Mike Remlinger"	0.120207
Percival	0.120177
Mahomes	0.119688
"Pedro Astacio"	0.119403
Suppan	0.118788
"Pat Hentgen"	0.118342
"Dave Mlicki"	0.117839
Wasdin	0.117016
"Shawn Estes"	0.116892
Irabu	0.115467
Osuna	0.115377
Helling	0.115287
Fuhr	0.115042
Aguilera	0.114953
estes	0.114723
Dunston	0.114677
"Chris Holt"	0.114615
"Steve Trachsel"	0.113247
"Mark Gardner"	0.113062
Cormier	0.113012
Marinovich	0.111793
"Carlos Perez"	0.11151
Leiter	0.111402
"STEVE WOODARD"	0.1108
Wohlers	0.110347
"Bryce Florie"	0.110153
"Juan Guzman"	0.110033
"Darryl Kile"	0.110029
"Russ Springer"	0.10974
Hasegawa	0.109472
"Matt Mantei"	0.10928
Cordero	0.109263
"Woody Williams"	0.108611
Schilling	0.108551
"Kirk Rueter"	0.108467
Saunders	0.108374
Benitez	0.107211
"Ismael Valdes"	0.107072
Navarro	0.10679
Stephenson	0.106771
Masaoka	0.105785
Hawkeyes	0.105749
"Andy Benes"	0.105435
gamecock	0.10439
Glavine	0.104118
"three pitchers"	0.103936
"two pitchers"	0.103136
Hampton	0.102933
"Kent Bottenfield"	0.102774
Finley	0.102675
Brister	0.101534
Witt	0.101486
Zito	0.101469
Heredia	0.100215
Pickens	0.100102
"Jose Jimenez"	0.0995605
Renteria	0.0990761
Brogna	0.0989238
"Paul Shuey"	0.0989101
"Darren Dreifort"	0.0988851
Capriati	0.0983241
Crabtree	0.0980467
"Terry Mulholland"	0.098014
"Rick Aguilera"	0.0978866
"Mark Clark"	0.0974564
"Mike Morgan"	0.097263
Batista	0.097164
Avery	0.0968332
"Andy Ashby"	0.0967913
"Mike Timlin"	0.096407
Milton	0.0961576
Escobar	0.0958159
Erickson	0.0956576
"Pete Harnisch"	0.0951663
Castillo	0.0951563
"Shane Reynolds"	0.0951488
Borbon	0.0950122
Worrell	0.0947552
Starzz	0.0947225
Ashby	0.0945844
"Chan Ho Park"	0.0944925
Huskers	0.094442
"Masato Yoshii"	0.0943852
Rojas	0.094125
))
(candle (desc 37934.3) (sims
lamp	0.146858
lantern	0.139527
flower	0.116087
flashlight	0.102775
"teddy bear"	0.0973492
incense	0.097004
wreath	0.0967756
bulb	0.087432
furniture	0.0844135
cigarette	0.0840012
cloth	0.0823425
torch	0.0820375
crosse	0.0816899
ribbon	0.080788
balloon	0.0802575
light	0.0802023
toy	0.0801107
vase	0.0798615
menorah	0.0798222
flag	0.0795633
ornament	0.0790863
flame	0.0769593
bouquet	0.0769481
poster	0.0765821
T-shirt	0.0765217
carnation	0.0760262
bottle	0.0753949
chandelier	0.0752004
doll	0.0745221
jewelry	0.0737279
stove	0.0736429
decoration	0.0730311
glass	0.0728054
statue	0.0721741
candy	0.0716568
blanket	0.071532
plaque	0.071051
Cigar	0.0709214
towel	0.0709213
tree	0.0705522
firework	0.0704642
box	0.0700555
chair	0.0692638
banner	0.0690389
pillow	0.0687115
"light bulb"	0.0684065
sticker	0.0683786
neon	0.0671715
sculpture	0.0671563
card	0.0669851
bread	0.0660555
bag	0.0657376
perfume	0.0656518
Clothing	0.0655705
Coin	0.0651679
hat	0.0649306
pen	0.0645934
object	0.0643619
soap	0.0642419
cake	0.0641948
urn	0.0638102
furnishings	0.0637438
accessory	0.0637096
mattress	0.0634298
appliance	0.0633526
paint	0.0632501
streamer	0.0630625
shoe	0.0624964
pot	0.0623497
Candlelight	0.0623477
placard	0.0622032
bunting	0.0620444
coffin	0.0618267
button	0.0616102
chocolate	0.0615803
battery	0.0609963
Lighting	0.0606089
rug	0.060169
item	0.0600541
Pottery	0.0600246
souvenir	0.0597236
icing	0.0594439
"cigarette lighter"	0.0593576
photograph	0.0591744
charcoal	0.0591028
cosmetic	0.0590413
tile	0.0589721
bonfire	0.0584858
poem	0.0582444
pin	0.0581417
lighter	0.0578484
painting	0.05776
mirror	0.0575588
crucifix	0.0574936
quilt	0.0574123
trinket	0.0573563
handbag	0.057242
pencil	0.0570653
cooky	0.0570569
plastic	0.0569942
ember	0.056962
figurine	0.0568702
tablecloth	0.0567452
camera	0.0567139
frosting	0.0565967
broom	0.0563914
"water bottle"	0.0563423
handicraft	0.055866
flare	0.0558564
shirt	0.055816
kit	0.0556376
artifact	0.0550594
jar	0.0549762
"ice cream"	0.0549752
umbrella	0.0547585
fruit	0.0547516
sunglasses	0.0545591
firecracker	0.0544453
campfire	0.0543738
cookware	0.0541605
tire	0.0541334
"national flag"	0.0540741
food	0.0540701
memento	0.0539644
knife	0.053858
blossom	0.0536957
carpet	0.0536898
diaper	0.0536813
cookie	0.0536777
generator	0.0536035
bead	0.0535466
"sleeping bag"	0.0535301
gun	0.0535083
tent	0.0534859
sweater	0.0534502
carpeting	0.0533584
napkin	0.0533573
gift	0.053231
Beer	0.0529877
memorabilia	0.0529134
brick	0.0528843
"toilet paper"	0.052732
container	0.0527209
table	0.0525999
heater	0.0525986
glassware	0.0523959
coffee	0.0522974
gadget	0.0521991
"greeting card"	0.0521365
photo	0.0520992
picture	0.0519298
wine	0.0518368
scarf	0.0516357
dish	0.0516209
window	0.0515901
"canned goods"	0.0515741
stone	0.051406
mural	0.0512703
vegetable	0.0512538
housewares	0.0512277
rosary	0.0512243
backpack	0.0511186
"canned food"	0.0510893
shampoo	0.050991
underwear	0.0509498
antique	0.0509306
snack	0.050741
toiletry	0.0505279
sheet	0.0504985
"beer can"	0.0503998
powder	0.0503498
"cigarette butt"	0.0502757
dress	0.0499185
mug	0.0498502
toothbrush	0.0496949
fountain	0.0496808
sock	0.0496231
clock	0.0496187
garment	0.049578
"household appliance"	0.0495328
microphone	0.0493034
foliage	0.0492944
cracker	0.0492287
curtain	0.0491403
"soft drink"	0.0490797
helmet	0.0490529
tableware	0.0489185
lotion	0.0489164
smoke	0.0488389
fabric	0.0487922
egg	0.0487895
wall	0.048783
altar	0.0487524
biscuit	0.0487522
fireplace	0.0487494
color	0.0487474
tea	0.0487052
detergent	0.0486113
coil	0.0485587
mask	0.0484984
))
(Candlelight (desc 4129.14) (sims
"May Day"	0.0672123
lantern	0.064197
two-hour	0.0641028
candle	0.0623477
"kerosene lamp"	0.0547011
"Veterans Day"	0.0545234
sunlight	0.0537904
Moonlight	0.0530491
three-mile	0.0529115
fact-finding	0.0497858
four-hour	0.0494987
one-hour	0.0478424
three-hour	0.0469394
two-mile	0.0467706
streetlight	0.0463843
Easter	0.0459873
"open air"	0.044689
"St. Patrick's Day"	0.044269
bedside	0.0416715
sit-down	0.0413083
Tram	0.0406461
))
(candlestick (desc 5973.02) (sims
flatware	0.0976268
"Candlestick Park"	0.0881417
teapot	0.0796335
candelabra	0.0772067
"Wrigley Field"	0.0764903
vase	0.0745427
lamp	0.0744589
"picture frame"	0.0741889
"Tiger Stadium"	0.0717412
vas	0.0713935
Fenway	0.0683811
"Dodger Stadium"	0.0674237
chalice	0.0640309
"Pro Player Stadium"	0.0635763
"Giants Stadium"	0.0630444
urn	0.0615731
"Pacific Bell Park"	0.061521
Kingdome	0.0612361
ornament	0.0609514
"Qualcomm Stadium"	0.0608119
glassware	0.0605654
"Camden Yards"	0.0596171
tray	0.0591445
Superdome	0.0588873
"Jacobs Field"	0.0568883
"measuring cup"	0.0566233
Safeco	0.0562787
"Enron Field"	0.0561889
decanter	0.0554111
chandelier	0.0541496
Metrodome	0.0535307
"Busch Stadium"	0.0534663
paperweight	0.0529249
"Yankee Stadium"	0.052722
doorknob	0.0522258
"Safeco Field"	0.0519384
"Mile High Stadium"	0.0517447
"Turner Field"	0.0512644
"Pac Bell Park"	0.0510154
tumbler	0.050952
"Olympic Stadium"	0.0508516
"Texas Stadium"	0.0505211
"Kyle Field"	0.0504694
bowls	0.0500924
Astrodome	0.0497407
tarpon	0.0491721
saucer	0.0491067
"Shea Stadium"	0.0490946
"County Stadium"	0.049064
Goblet	0.0489489
"Fenway Park"	0.0488865
cutlery	0.0485118
knickknack	0.048438
"Devil Stadium"	0.0483888
"kitchen appliance"	0.0483587
"evening bag"	0.0477926
"Conseco Fieldhouse"	0.0475614
lampshade	0.0473604
"Foxboro Stadium"	0.0473145
tripod	0.0467841
"Edison Field"	0.0467188
"Arrowhead Stadium"	0.0467003
"tea set"	0.0461687
carafe	0.0456962
"Fleet Center"	0.0456308
SkyDome	0.0454181
Alamodome	0.0453795
"Delta Center"	0.0451683
"Coors Field"	0.0451081
Eastbourne	0.0448981
sundial	0.0446175
crucifix	0.0443818
lantern	0.0443553
"wall hanging"	0.0440752
filigree	0.0439787
"walking stick"	0.0437644
"Pauley Pavilion"	0.0437059
"place setting"	0.0435457
medallion	0.0435238
ingot	0.0434654
"jelly bean"	0.0432829
Meadowlands	0.0431072
cherub	0.042935
sconce	0.042803
"pocket watch"	0.042703
"Veterans Stadium"	0.0422093
pendant	0.0420768
"America West Arena"	0.0419647
alloy	0.0415531
jug	0.0413171
corkscrew	0.0409638
"Memorial Stadium"	0.0404342
tiara	0.0402859
porthole	0.0402448
"stained-glass window"	0.0401949
"bathroom fixture"	0.0401273
"light bulb"	0.0401117
))
("Candlestick Park" (desc 1818.18) (sims
"Soldier Field"	0.207148
"Pacific Bell Park"	0.185699
"Wrigley Field"	0.167505
"Joe Louis Arena"	0.166692
"Veterans Stadium"	0.153937
Metrodome	0.151607
SkyDome	0.144173
"RCA Dome"	0.143819
"Comiskey Park"	0.138683
"Marine Midland Arena"	0.136507
"Memorial Stadium"	0.129994
"Cinergy Field"	0.128296
"Ebbets Field"	0.12803
"Polo Grounds"	0.126453
"Turner Field"	0.124072
"America West Arena"	0.123583
"Mile High Stadium"	0.120738
"Busch Stadium"	0.120644
"Tropicana Field"	0.119971
Kingdome	0.119204
"Dodger Stadium"	0.118739
"Kauffman Stadium"	0.118488
"Jacobs Field"	0.117675
"Pac Bell Park"	0.11392
"Shea Stadium"	0.113429
"Market Square Arena"	0.112285
"Fenway Park"	0.112037
"Maple Leaf Gardens"	0.111159
Astrodome	0.110272
"Giants Stadium"	0.110035
"County Stadium"	0.108817
"Rivers Stadium"	0.108441
Shea	0.108245
"Boston Garden"	0.107812
"Delta Center"	0.107136
Superdome	0.106986
"Arrowhead Stadium"	0.105134
"Yankee Stadium"	0.103456
"Texas Stadium"	0.10297
"Lambeau Field"	0.102524
"Foxboro Stadium"	0.102381
"Qualcomm Stadium"	0.100884
"Oakland Coliseum"	0.100693
"Camden Yards"	0.1004
"Tokyo Dome"	0.10031
"Pro Player Stadium"	0.0999779
"Reunion Arena"	0.0986517
"Compaq Center"	0.0976024
"Nassau Coliseum"	0.0965756
"RFK Stadium"	0.0964499
Alamodome	0.0962341
"Edison Field"	0.0960994
"Coors Field"	0.095034
"Conseco Fieldhouse"	0.0942241
KeyArena	0.0940373
"Devil Stadium"	0.0939097
"Kyle Field"	0.0936506
"Olympic Stadium"	0.0920695
"Continental Airlines Arena"	0.0919757
Wrigley	0.0909766
"Continental Arena"	0.0907115
"Miami Arena"	0.0904534
"Fleet Center"	0.0894056
candlestick	0.0881417
Fenway	0.0880828
"Sanford Stadium"	0.0871138
"Civic Arena"	0.0865913
"Wembley Stadium"	0.0838924
"Enron Field"	0.0832436
"Safeco Field"	0.081557
FleetCenter	0.0810058
"Jack Kent Cooke Stadium"	0.080745
"Madison Square Garden"	0.0799309
Carnoustie	0.0795362
"Kiel Center"	0.0783829
"Pauley Pavilion"	0.0776984
"MCI Center"	0.0776561
Omni	0.0762418
"Tiger Stadium"	0.0757076
"NationsBanc Montgomery Securities"	0.0754868
"Comerica Park"	0.0750558
Safeco	0.0748234
"Michigan Speedway"	0.0747687
"Georgia Dome"	0.0746155
"United Center"	0.0737881
"Kai Tak Airport"	0.0704459
"Atlanta Motor Speedway"	0.0690053
Meadowlands	0.0674785
"Olympic Club"	0.0673829
"Great Western Forum"	0.0665748
Medinah	0.0662456
"Cotton Bowl"	0.0659002
Coliseum	0.0645433
"Pepsi Center"	0.0644251
"National Stadium"	0.0643755
"Melbourne Cricket Ground"	0.0636174
"St. Andrews"	0.0628189
YMCA	0.0627389
"Stade Velodrome"	0.0618513
"Trans World Dome"	0.0614421
"Oregon State"	0.0590939
"Field Poll"	0.0590783
"Joyce Theater"	0.0586737
"BancBoston Robertson Stephens"	0.0582158
"Hyatt Regency"	0.056157
"Philips Arena"	0.0556255
Sahalee	0.0553749
Foxboro	0.0551135
"Legion of Honor"	0.0544229
"National Tennis Center"	0.0535247
"Brooklyn Academy of Music"	0.0526513
"Olympic Park"	0.0525713
"Gulfstream Park"	0.0523431
"navy base"	0.0520136
"Longwood Cricket Club"	0.0518712
"Film Forum"	0.0517677
"Royal Birkdale"	0.0517058
"Old Trafford"	0.0504983
"Sears Point"	0.0502187
"Memorial Tournament"	0.0496358
"Loyola Marymount"	0.0494165
Pepperdine	0.0489783
"Talladega Superspeedway"	0.0488974
"Roland Garros"	0.0488077
"Jewish Museum"	0.0487782
"Boutros Boutros Ghali"	0.0487504
"Electronic Frontier Foundation"	0.0483797
"point in time"	0.0481627
"sports arena"	0.0479166
Canty	0.0473736
"Potsdamer Platz"	0.0473529
apparatchiks	0.0473261
"Texas Motor Speedway"	0.0465629
Tanglewood	0.0462985
"Stade de France"	0.0462207
"rose garden"	0.0459985
Belfry	0.0459652
"World Basketball Championship"	0.0459121
Pinehurst	0.045799
autocrat	0.0454928
"preparatory school"	0.0454549
"North Carolina State"	0.0453592
"Radio City"	0.0453528
Foxborough	0.0451516
Macworld	0.0451472
Busch	0.0451142
"Pinehurst No. @"	0.04508
Presidio	0.0449237
"Pebble Beach"	0.0446822
nunnery	0.0445109
"LA COSTA"	0.0444168
"Avery Fisher Hall"	0.0443713
"Copa America"	0.044169
"Suffolk Downs"	0.0437756
"Lincoln Center Festival"	0.043703
"Jackson State"	0.0436387
"Riviera Country Club"	0.0434332
Bristol	0.0433402
gunslinger	0.0431286
"Hambrecht &AMP; Quist"	0.0429043
Valderrama	0.0424233
housemate	0.0423011
Messina	0.0422795
"Carnegie Hall"	0.0417933
"law practice"	0.0417433
"New Hampshire International Speedway"	0.0415647
"Circuit Court"	0.0415604
Longwood	0.0415089
NHIS	0.0414343
"Santa Anita"	0.0413545
"West Ham"	0.0413042
"Sahalee Country Club"	0.0411275
raceway	0.0407989
"account executive"	0.040779
Staples	0.040699
"First Union Center"	0.0405678
"party boss"	0.0405556
"Boomer Esiason"	0.0403644
"ice rink"	0.0402637
Pir	0.0400797
paraplegic	0.040029
))
(candor (desc 14485.8) (sims
honesty	0.178025
frankness	0.140503
eloquence	0.121232
courage	0.120595
humility	0.117985
clarity	0.113827
compassion	0.113281
bluntness	0.112987
generosity	0.109609
sincerity	0.108841
modesty	0.107895
humor	0.102588
professionalism	0.101634
poise	0.100753
directness	0.0970977
warmth	0.0969592
Openness	0.0957069
decency	0.0954304
simplicity	0.0937713
wit	0.0927489
spontaneity	0.0927429
seriousness	0.0924364
bravado	0.0913559
kindness	0.0902222
boldness	0.0887537
dedication	0.088429
precision	0.0877733
elegance	0.0873545
loyalty	0.0873114
"sense of humor"	0.0865893
bravery	0.0858319
empathy	0.0856109
truthfulness	0.0855188
affection	0.0853558
aggressiveness	0.0853239
patience	0.08496
originality	0.0845831
passion	0.0843782
realism	0.0820908
intensity	0.0816155
enthusiasm	0.0813604
tenacity	0.0794212
consistency	0.0790819
civility	0.0789567
grace	0.0784977
teamwork	0.07839
Creativity	0.0779849
charm	0.0777196
subtlety	0.0773564
vigor	0.0768194
unanimity	0.0761535
wisdom	0.0760938
toughness	0.0758069
selflessness	0.0757852
fairness	0.0756593
understatement	0.0753205
intimacy	0.0746659
dignity	0.0743621
devotion	0.0736859
integrity	0.0736758
objectivity	0.0736642
willingness	0.0729689
"common sense"	0.0729516
competence	0.0725411
perseverance	0.0719097
determination	0.0717313
self-confidence	0.0714937
intelligence	0.0712059
insight	0.0711889
individuality	0.0700497
tenderness	0.0699898
resilience	0.0695635
pride	0.0693859
contrition	0.069278
confidence	0.0692676
naivete	0.0692051
specificity	0.0689305
emotion	0.0689134
sensitivity	0.0689104
self-awareness	0.0685573
graciousness	0.0679981
transparency	0.0678663
diligence	0.0675263
skill	0.0673226
versatility	0.0670737
Innocence	0.0669549
ruthlessness	0.0669416
demeanor	0.0662971
reverence	0.0662445
ingenuity	0.0662097
gentleness	0.0659181
persistence	0.0654737
hospitality	0.0651367
accuracy	0.0650258
poignancy	0.06499
maturity	0.0648627
acumen	0.0645828
gumption	0.0644162
verve	0.0642989
sarcasm	0.0642327
tolerance	0.0641805
urgency	0.0641598
sophistication	0.0641497
composure	0.0641257
certainty	0.063922
ferocity	0.0638769
firmness	0.063669
continuity	0.0635951
ambition	0.063471
self-discipline	0.063471
excitement	0.063205
authenticity	0.063196
savvy	0.0631297
beauty	0.0630949
purity	0.0630479
pragmatism	0.0629438
restraint	0.062872
fortitude	0.0628435
nonchalance	0.0624494
athleticism	0.0620446
friendliness	0.0620176
trustworthiness	0.061785
heroism	0.0617027
"good humor"	0.0616982
reticence	0.0615745
depth	0.0614996
guile	0.0614849
brilliance	0.0612738
patriotism	0.0612304
"hard work"	0.061209
probity	0.0610358
willpower	0.060945
earnestness	0.0609311
arrogance	0.060825
efficiency	0.0607511
decisiveness	0.0606837
charisma	0.0605134
ethic	0.0602924
exasperation	0.0598529
discipline	0.0596599
flexibility	0.0595716
flair	0.0595561
immediacy	0.0595204
rectitude	0.0595162
politeness	0.0594724
zeal	0.0594505
fluency	0.0594067
steadfastness	0.0593617
intellect	0.0590286
delicacy	0.0590243
accomplishment	0.0590052
attitude	0.0589915
dynamism	0.0588071
dexterity	0.0587892
camaraderie	0.0587157
irreverence	0.058688
self-assurance	0.0586485
cynicism	0.0586239
introspection	0.0584611
prowess	0.0584364
freshness	0.0583867
finesse	0.058384
bipartisanship	0.0582723
exuberance	0.0581717
forgiveness	0.058165
fearlessness	0.0581231
confidentiality	0.0579538
curiosity	0.0579493
statesmanship	0.0577923
sympathy	0.0577861
sharpness	0.0575337
resonance	0.0573491
aplomb	0.0571465
truth	0.0570934
spirit	0.0570479
remorse	0.0565842
self-control	0.0564501
fervor	0.056126
whimsy	0.0559929
virtuosity	0.0559852
outspokenness	0.055971
stamina	0.0559196
grit	0.0559025
resiliency	0.0558877
talent	0.0558397
morality	0.0558055
nimbleness	0.0557804
nostalgia	0.0557734
admiration	0.0555781
lucidity	0.0555763
moxie	0.0554355
knowledge	0.0552737
diversity	0.0550148
resourcefulness	0.0549921
stoicism	0.0548699
sensibility	0.054839
vitality	0.0548345
rapport	0.054812
solidarity	0.0546661
shyness	0.054666
))
("Candra Wijaya" (desc 1601.81) (sims
"Ricky Subagja"	0.35753
"Rexy Mainaky"	0.32201
"Ge Fei"	0.240052
"Cheah Soon Kit"	0.193655
"Joko Suprianto"	0.18
"Liu Yong"	0.175887
"Jacco Eltingh"	0.148824
"Dong Jiong"	0.146223
"Taufik Hidayat"	0.139352
Hendrawan	0.138951
"American Pete Sampras"	0.12407
"Mia Audina"	0.121761
"Jansher Khan"	0.118101
"Ye Zhaoying"	0.117749
"Peter Gade Christensen"	0.117015
"Moses Tanui"	0.116882
"Elena Berezhnaya"	0.115607
"Liu Limin"	0.114434
"Kong Linghui"	0.113584
"Xia Xuanze"	0.112879
"Derrick Adkins"	0.10862
"Zoran Primorac"	0.106627
"Li Ju"	0.105394
"Chris Boardman"	0.104746
"Mark Woodforde"	0.103096
"Oksana Kazakova"	0.103082
"Irina Privalova"	0.102364
"Wang Tao"	0.100997
"Buster Douglas"	0.0983445
"Blaine Wilson"	0.0971339
"Heryanto Arbi"	0.0963672
"Simon Archer"	0.0961983
Taufik	0.0949996
"Ji Xinpeng"	0.094905
"Frank Bruno"	0.0941143
"Qin Yiyuan"	0.0940418
"Johan Museeuw"	0.0933009
"Todd Eldredge"	0.0928082
"Wang Nan"	0.0922194
"Gabriela Szabo"	0.0922075
"Alex O'Brien"	0.0919645
"Frank Nobilo"	0.0917638
"Liu Guoliang"	0.0915966
"Paul Tergat"	0.0915131
"Ivan Pedroso"	0.090761
"Jean-Philippe Gatien"	0.0902011
"Guo Jingjing"	0.0891342
"Todd Woodbridge"	0.088453
"Jonathan Stark"	0.0881301
"Jubilo Iwata"	0.0872257
"Susi Susanti"	0.0871555
"Peter Rasmussen"	0.0868437
"Olin Browne"	0.0865387
"Eddie Cheever"	0.0852814
"Ong Ewe Hock"	0.0851827
Eliza	0.0849641
"Jorgen Persson"	0.0848612
"Michael Doohan"	0.0843204
"Fatuma Roba"	0.0841643
"Peter Nicol"	0.0836943
"Daniel Komen"	0.0833832
"Rodney Eyles"	0.0827008
shuttlers	0.0817544
"Maria Mutola"	0.0800044
"Wang Chen"	0.0794942
"Gong Zhichao"	0.0791994
Khorkina	0.0788189
Susanti	0.0786005
Karpov	0.0781168
"Svetlana Khorkina"	0.0778822
"Fung Permadi"	0.0777845
"Diego Nargiso"	0.0777067
"Maria Butyrskaya"	0.0776327
"Chen Lu"	0.0775528
"Jana Novotna"	0.0774265
Shuwei	0.0773425
"Arantxa Sanchez Vicario"	0.0771001
"Jeff King"	0.0769602
"Natasha Zvereva"	0.0769373
"Deng Yaping"	0.0766743
Woodbridge	0.0765572
"Ivan Ivankov"	0.0762936
Fullmer	0.0758725
"Alexei Urmanov"	0.0758321
"Fernando Escartin"	0.075681
"Anatoly Karpov"	0.0755169
"Claudia Poll"	0.0751775
"Dai Yun"	0.0750981
"Brooke Bennett"	0.0750832
"Pat Rafter"	0.0744795
"Thomas Muster"	0.074458
"Deon Hemmings"	0.0740694
"Arnaud Di Pasquale"	0.0739264
"Tom Dolan"	0.0735608
"Svetlana Masterkova"	0.0735082
"Camilla Martin"	0.0733242
"Michael Klim"	0.0732149
"Michael Von Gruenigen"	0.0727201
"Felix Savon"	0.0723154
"Abraham Olano"	0.0720678
"Xiong Ni"	0.0719869
"Michael Chang"	0.0718556
"Marina Anissina"	0.0715393
"Richey Reneberg"	0.0715015
"Damon Hill"	0.0713613
"Denis Pankratov"	0.0711232
"Max Biaggi"	0.0711003
"Miguel Indurain"	0.0710466
"Thomas Stangassinger"	0.0710167
"Corina Morariu"	0.0707838
"Le Jingyi"	0.0707443
"Lisa Raymond"	0.0707211
"Pernell Whitaker"	0.0703545
"Stefan Edberg"	0.0701993
"Kostya Tszyu"	0.0699789
Bruguera	0.0696723
"Fu Mingxia"	0.0692842
"Shanghai Shenhua"	0.0692619
"Jan-Ove Waldner"	0.06897
"Ato Boldon"	0.0687179
kayaker	0.0686621
"Martin Schmitt"	0.0681791
"Alexandra Meissnitzer"	0.0681161
"Pavel Tonkov"	0.0673351
"Samantha Riley"	0.067242
"Olympiakos Piraeus"	0.0671087
"John Godina"	0.0669359
"Johnny Tapia"	0.0668653
"Hu Weidong"	0.0667635
"Colin McRae"	0.0659043
"Anjelika Krylova"	0.0658883
"Kieren Perkins"	0.0657514
"Picabo Street"	0.0656256
"Jonas Bjorkman"	0.0655214
"Li Fang"	0.0654638
"Hiroyasu Shimizu"	0.0654148
"Grant Hackett"	0.0652701
"Elvis Stojko"	0.0651513
"Michael Owen"	0.064968
"Marc Rosset"	0.064888
"Jacques Villeneuve"	0.0647799
"Alexei Yagudin"	0.0644028
"Tian Liang"	0.0642738
"Steve Elkington"	0.0640737
"Bayi Rockets"	0.0640505
"Oliver McCall"	0.0639478
"Laurent Brochard"	0.0639025
"Tommi Makinen"	0.0638808
"Michael Moorer"	0.0637483
"Seattle Slew"	0.0633264
miler	0.0629871
"Felix Mantilla"	0.0628788
"Michael Weiss"	0.0628043
"Velez Sarsfield"	0.0625482
"Liu Xuan"	0.0623285
"Roy Jones Jr."	0.0622272
Longo	0.0621457
"Wang Yifu"	0.0620832
fencer	0.0620437
"Albert Costa"	0.0620278
"Riddick Bowe"	0.0619273
"Bjarte Engen Vik"	0.0617755
"Alberto Berasategui"	0.0615229
"Liselotte Neumann"	0.0614291
"Katja Seizinger"	0.0610372
Shenhua	0.0609808
"Hale Irwin"	0.0609087
"Sonia O'Sullivan"	0.0608617
"Petr Korda"	0.0605035
"Mats Wilander"	0.0604362
"Australian Mark Philippoussis"	0.0603711
"Garry Kasparov"	0.0603435
"Paul Haarhuis"	0.0601198
"Rainer Schuttler"	0.0599389
"Mary Pierce"	0.0598315
Yagudin	0.0597263
"Marco Pantani"	0.05966
"Lin Li"	0.0596509
"Dalian Wanda"	0.0596337
"American Michael Chang"	0.0596273
"Paul Lawrie"	0.0594145
"Li Jiajun"	0.0593581
paddler	0.0593157
"shot putter"	0.0592626
"Alex Zanardi"	0.0592017
"Stacy Dragila"	0.0591115
Makinen	0.0590699
"Kimiko Date"	0.0590472
"Vladimir Samsonov"	0.0586792
"Oksana Baiul"	0.0585992
"Eric Metcalf"	0.0583702
"Juli Inkster"	0.0582708
"Alexei Nemov"	0.0581991
"Erik Morales"	0.0581794
"Steffi Graf"	0.0580719
"Sergi Bruguera"	0.0579693
"American Lindsay Davenport"	0.0579578
"Bobby Charlton"	0.0577177
"Michael Stich"	0.0577033
"Chicago Fire"	0.0576175
))
(candy (desc 36510.8) (sims
chocolate	0.16855
"ice cream"	0.165968
snack	0.154701
soda	0.152007
"soft drink"	0.148496
cooky	0.147034
popcorn	0.144526
cracker	0.138785
cookie	0.136108
cake	0.134626
bread	0.131767
"potato chip"	0.130857
drink	0.130502
pretzel	0.129646
dessert	0.124191
Beer	0.12394
sandwich	0.120968
cheese	0.120837
beverage	0.120467
fruit	0.119154
pastry	0.116616
coffee	0.115199
cereal	0.113559
"peanut butter"	0.11018
pasta	0.110042
doughnut	0.108315
"baked goods"	0.108233
"hot dog"	0.108095
toy	0.107784
muffin	0.107622
biscuit	0.107341
pizza	0.105422
tea	0.105305
food	0.103992
nut	0.103982
milk	0.103436
"fruit juice"	0.102648
"snack food"	0.102636
noodle	0.101554
wine	0.10095
yogurt	0.0986858
"oreo cookie"	0.0979888
cigarette	0.0977899
pie	0.0973819
vegetable	0.0972957
salad	0.0972166
bagel	0.0964596
sweet	0.0961183
"canned food"	0.0953685
meat	0.0950435
soup	0.0945788
liquor	0.0943198
lemonade	0.0935534
perfume	0.0927914
souvenir	0.0927727
juice	0.0923181
cheesecake	0.0919236
Pudding	0.0912604
pickle	0.0900372
peanut	0.0895225
soap	0.0895201
sugar	0.0894182
goody	0.0886964
flower	0.088255
"chewing gum"	0.0878255
cosmetic	0.0875698
brownie	0.0874183
"french fries"	0.0856198
margarine	0.0854334
fudge	0.0854156
bottle	0.0853524
spice	0.0851969
jewelry	0.0849758
"dairy product"	0.0839716
jelly	0.0838569
"mineral water"	0.0837402
condiment	0.0836954
Clothing	0.0834108
bean	0.0833378
"candy bar"	0.0829868
butter	0.0828651
donut	0.0828611
syrup	0.0827237
"whipped cream"	0.0826647
espresso	0.0825096
"chocolate cake"	0.0823957
marshmallow	0.082265
sausage	0.0819478
"orange juice"	0.0818425
Hamburger	0.081806
sauce	0.0817814
"iced tea"	0.0815827
Cigar	0.0813844
chip	0.0810157
T-shirt	0.080665
merchandise	0.0803442
"cooking oil"	0.0796
egg	0.0795462
cupcake	0.0794751
oreo	0.079345
Jell-O	0.0793263
seafood	0.0791373
caramel	0.0787412
trinket	0.0784215
cola	0.0783452
potato	0.0778939
diaper	0.0777242
cream	0.0774316
mint	0.0774196
powder	0.0772729
smoothie	0.076608
JAM	0.0762832
chicken	0.076232
sushi	0.0761205
cloth	0.0760906
apple	0.075993
vodka	0.0759866
doll	0.0757416
flour	0.0753321
"hot chocolate"	0.0751014
"alcoholic beverage"	0.0747109
condom	0.0744368
"dried fruit"	0.0743122
grocery	0.0739384
tomato	0.073898
"household appliance"	0.0738936
apparel	0.0737645
liqueur	0.0737638
champagne	0.0737466
tortilla	0.073609
dough	0.0735742
cider	0.0734423
oatmeal	0.0732994
caviar	0.0727581
fruitcake	0.0725924
fish	0.0724868
rice	0.0723594
TART	0.0723105
"jelly bean"	0.0720512
gum	0.0719603
furniture	0.0718622
candle	0.0716568
frosting	0.0716407
honey	0.0715308
salsa	0.0715242
mousse	0.0714091
dish	0.0713293
"greeting card"	0.0713129
berry	0.0712451
"pet food"	0.0712046
Topping	0.0711383
meal	0.0705032
shampoo	0.0702172
item	0.0699818
coconut	0.0699469
lollipop	0.0697902
ornament	0.0697438
herb	0.069584
foodstuff	0.0693442
sorbet	0.0693333
raisin	0.0691147
"root beer"	0.0689539
banana	0.0687926
vanilla	0.0686591
shrimp	0.0686542
Orange	0.0686371
veggie	0.0685941
shoe	0.0682355
accessory	0.0679209
toiletry	0.0679163
taco	0.0678727
"dog food"	0.0678501
Souffle	0.0674644
steak	0.0673344
gift	0.0672672
"salad dressing"	0.067
salt	0.0668271
product	0.0668077
"tortilla chip"	0.0665993
pork	0.0665818
burgers	0.0662902
"powdered milk"	0.0661622
detergent	0.0661595
towel	0.0659742
Coin	0.0659545
"canned goods"	0.0655308
coke	0.0653512
vitamin	0.0648464
filling	0.0647323
scone	0.0646035
icing	0.0645279
cocoa	0.0642733
glass	0.064074
booze	0.063931
garment	0.0638967
ham	0.0636143
"toilet paper"	0.0635778
bag	0.0635771
"Diet Coke"	0.0635029
grain	0.0631453
))
("candy bar" (desc 2608.09) (sims
"spring roll"	0.0850901
"hot dog"	0.0845765
candy	0.0829868
hotdog	0.0745846
popcorn	0.0731607
"french fries"	0.0724353
"cat food"	0.0716228
cheeseburger	0.0694904
oreo	0.0694857
pretzel	0.0677249
"loaf of bread"	0.0667945
"ice cream"	0.0663214
snack	0.0644161
"postage stamp"	0.0627317
"bubble gum"	0.0625187
mouthwash	0.0619228
Hamburger	0.0577466
"mink coat"	0.0569982
"fishing rod"	0.0567078
cellophane	0.0562532
Tamale	0.0558813
"potato chip"	0.055868
"hot chocolate"	0.0556037
"corn chip"	0.0547588
soda	0.0545265
typewriter	0.0535314
Burrito	0.053486
fruitcake	0.0532958
Mojo	0.0526273
"peanut butter"	0.0515342
satchel	0.0513823
"boarding pass"	0.0503247
"chicken wing"	0.0502953
donut	0.0496619
"Big Mac"	0.0492099
"Diet Coke"	0.0490293
"tape recorder"	0.0489878
cola	0.0488728
grub	0.0487765
"gas stove"	0.0487737
"chocolate chip cookie"	0.0483185
"local call"	0.0482097
"chocolate cake"	0.0479634
"book bag"	0.0477354
"street sign"	0.04736
paintbrush	0.0471565
"ballpoint pen"	0.0468517
"Beanie Baby"	0.0467427
"Dairy Queen"	0.0466666
"chewing gum"	0.0465675
"tennis shoe"	0.0463761
pasty	0.0463501
lollipop	0.046245
"jelly bean"	0.0460974
crotch	0.0459313
"fruit juice"	0.0458298
kitten	0.0456916
"TV dinner"	0.0456411
"cake mix"	0.0455996
tortilla	0.0454583
"sunflower seed"	0.0454015
statuette	0.0453033
biscuit	0.0452875
bloke	0.0451331
matzoh	0.0448947
cookie	0.0448378
cracker	0.0447893
"beach towel"	0.0447108
"balanced diet"	0.0445129
"robbery suspect"	0.0445091
Kool-Aid	0.0444933
"billion yuan"	0.0442893
"chicken sandwich"	0.0442483
doughnut	0.0441184
frankfurter	0.0440314
"corned beef"	0.0436944
"grocery bag"	0.0436633
crucifix	0.043634
marshmallow	0.0435675
"million yuan"	0.0433097
six-pack	0.0432604
"hypodermic needle"	0.0431638
"flying saucer"	0.0428346
"two bags"	0.0427911
transistor	0.0424379
crawler	0.0424363
flamethrower	0.0424285
muffin	0.0423395
"mineral water"	0.0420802
"evening bag"	0.0420423
"laundry detergent"	0.0419538
"slide rule"	0.0419313
"Bud Light"	0.0418976
parasol	0.0418137
booze	0.041602
cellphone	0.0415786
"duffel bag"	0.0414586
pint	0.041388
"coffee pot"	0.0413104
whopper	0.0412296
"cream puff"	0.0412292
birdbath	0.0412108
whisky	0.0411215
"sailing vessel"	0.0410592
gasket	0.0409677
armful	0.0409653
inhaler	0.0408783
Airstream	0.0408331
"family doctor"	0.0406776
"razor blade"	0.0406675
jerky	0.0403512
notepad	0.04024
"birthday cake"	0.0400919
))
("candy store" (desc 2717.22) (sims
"jewelry store"	0.133466
"shoe store"	0.121426
"beauty salon"	0.10875
drugstore	0.104456
"hardware store"	0.103407
"liquor store"	0.103041
delicatessen	0.098405
"grocery store"	0.0897468
pizzeria	0.0896468
"clothing store"	0.0843809
"convenience store"	0.0798493
"toy store"	0.0798358
"computer store"	0.0775761
deli	0.0772086
"funeral home"	0.0764744
junkyard	0.0754931
bakery	0.0744146
"coffee shop"	0.074231
"Print Shop"	0.0734746
bookshop	0.0733545
"Ebbets Field"	0.0698363
grocery	0.0686446
"gas station"	0.0655089
porthole	0.065009
florist	0.0620309
"bowling alley"	0.0618988
bistro	0.0617589
"dry cleaner"	0.0612662
"Public School @@@"	0.060583
"service station"	0.0599632
"specialty store"	0.0591939
tavern	0.0589987
soulmate	0.0582148
grocer	0.0575996
Pharmacy	0.0569899
mutuel	0.0569388
"grammar school"	0.0560929
"gasoline station"	0.055982
"movie theater"	0.0551637
kiosk	0.0547964
"Public School @@"	0.0541702
"man's body"	0.0537862
"gambling casino"	0.05371
"repair shop"	0.0534293
"Radio Shack"	0.0534042
"telephone directory"	0.0528834
eateries	0.0527916
"general store"	0.0526851
"pizza parlor"	0.0517659
storefront	0.0517632
motel	0.0512991
"butcher shop"	0.0507923
"coffee bar"	0.050727
coffeehouse	0.0507068
"B&AMP;B"	0.0505103
"day care center"	0.0504532
"stock company"	0.0500569
Bathhouse	0.049431
sawmill	0.0493759
stakeout	0.0482333
"shopping mall"	0.0480197
"art gallery"	0.0479832
parlor	0.0479246
parimutuel	0.0475867
"truck stop"	0.0472848
"gift shop"	0.0467589
Harrods	0.0467053
Plattsburgh	0.0464592
"bus company"	0.0461229
emporium	0.0454765
"flea market"	0.0452543
"movie house"	0.0452117
dealerships	0.0452045
nursery	0.0451392
"tea house"	0.0448238
"trading post"	0.0447963
Steakhouse	0.0447251
"foster home"	0.0444123
pawnshop	0.0443984
showroom	0.0443724
"blind man"	0.0442401
bazaar	0.044234
"growth industry"	0.0436099
superstore	0.0435999
"ghost town"	0.0433802
saloon	0.0433079
"carriage house"	0.0432502
"first school"	0.0431934
lovefest	0.042852
"entertainment center"	0.0426004
"machine shop"	0.0425868
"police state"	0.0423813
Safeway	0.0421797
hypermarket	0.0420024
racehorse	0.0418186
teahouse	0.0415496
"toy retailer"	0.041548
"Saks Fifth Avenue"	0.0415157
playpen	0.0414285
"loan shark"	0.0414144
"fifth grade"	0.0412535
"dance hall"	0.0411315
arcade	0.0411044
megaplexes	0.0408896
sandbox	0.0408431
"Chronicle Publishing"	0.0406716
barbershop	0.0405628
"ball field"	0.0404416
"deposit box"	0.0403515
pauper	0.0402779
"East St. Louis"	0.0400528
))
(cane (desc 20890.7) (sims
"walking stick"	0.118173
"sugar cane"	0.110648
sugarcane	0.107313
crutch	0.106697
stick	0.088144
"baseball bat"	0.0870712
baton	0.0820473
spear	0.0774968
truncheon	0.0751955
broom	0.0751574
rod	0.0705807
"cane sugar"	0.0703737
sorghum	0.0688239
knife	0.0651532
maize	0.063782
beet	0.0636539
wheat	0.0634585
"sugar beet"	0.0633532
sword	0.0632773
sugar	0.0631693
soybean	0.0622295
grape	0.0618706
cotton	0.0615668
tree	0.0613492
helmet	0.0610296
hat	0.060991
machete	0.0608379
corn	0.0607915
Hammer	0.0605219
timber	0.0602617
bat	0.0597974
grain	0.05967
paddy	0.0574373
barley	0.0574338
racquet	0.057334
flower	0.0571617
clipboard	0.0570167
stalk	0.0568753
vine	0.056799
pen	0.0564201
bamboo	0.0561732
scarf	0.0560394
shoe	0.0553031
coca	0.0552359
pistol	0.0552142
stem	0.0551695
poppy	0.0547398
putter	0.0544608
mask	0.0543378
leaf	0.0541738
rifle	0.0537709
flashlight	0.0537677
shovel	0.053282
racket	0.0525641
glove	0.0525266
ax	0.0521481
rice	0.0520425
fist	0.0518492
"oil palm"	0.0516231
ingot	0.0514745
armoire	0.0511787
walker	0.0506329
umbrella	0.0503271
fruit	0.0501342
microphone	0.0500357
boot	0.0499621
pipe	0.0499083
grass	0.0497561
watermelon	0.0496258
agave	0.0493976
"palm oil"	0.0493872
bulb	0.0484743
briefcase	0.0484542
finger	0.0483733
bag	0.0479863
suitcase	0.0478352
"automatic rifle"	0.0478343
wheelchair	0.0476444
coffee	0.0476397
cassava	0.0475928
"teddy bear"	0.0475887
trellis	0.0471645
bottle	0.0465807
Spoon	0.0463908
Firewood	0.0462997
furniture	0.0462445
coat	0.0459304
tea	0.0458925
potato	0.0458794
fertilizer	0.0455564
Cigar	0.045544
shirt	0.0455346
handgun	0.045487
hose	0.0451828
glass	0.045113
pole	0.0449569
pot	0.0448957
brick	0.0447973
commode	0.0447969
stopwatch	0.0446597
wool	0.0445853
chopstick	0.0445587
scooter	0.0444538
limb	0.0443149
"machine gun"	0.0443005
hair	0.0440977
handkerchief	0.044079
walkie-talkie	0.0440217
shrub	0.0437957
"index finger"	0.0437007
mallet	0.0436527
bean	0.0435578
cloth	0.0434788
Coal	0.0433961
hay	0.0433575
cylinder	0.0428635
cement	0.0425792
tubing	0.042558
candle	0.0425091
coffin	0.0424875
crucifix	0.0424242
revolver	0.0424046
buckwheat	0.042399
banana	0.0422662
steel	0.0422532
apron	0.0420846
"golf club"	0.042049
tapioca	0.0419701
wig	0.0419026
cocoa	0.0418503
melon	0.041823
tomato	0.0418044
mahogany	0.0417363
megaphone	0.041649
aluminum	0.0415688
badge	0.0415042
Clothing	0.0414909
tail	0.0414702
sneaker	0.0414644
toothpick	0.0414425
marijuana	0.0413841
placard	0.0413743
lantern	0.0413213
Casket	0.041265
sheeting	0.0411775
needle	0.0411665
pad	0.0410947
sandal	0.0409944
ladder	0.0407741
weed	0.0407595
pine	0.0407363
sapling	0.0407147
belt	0.0407052
shotgun	0.0406204
beret	0.0405983
"dining table"	0.0404936
rubber	0.0404435
Plywood	0.0404085
tobacco	0.0403279
metal	0.0402586
hemp	0.0402291
plastic	0.0401879
lamp	0.040018
crosse	0.0400129
))
("cane sugar" (desc 1250.76) (sims
"pig iron"	0.239503
"cashew nut"	0.208421
"sugar cane"	0.156534
"palm oil"	0.153194
POTASH	0.151448
ethylene	0.15125
cashew	0.135286
CPO	0.133328
sugarcane	0.131259
"food grain"	0.128744
sorghum	0.124905
phosphate	0.120784
"synthetic fiber"	0.118863
urea	0.118692
"waste material"	0.117932
methanol	0.117466
"mineral water"	0.114066
flax	0.111938
jute	0.111204
fertilizer	0.109374
cacao	0.105673
LNG	0.104791
sisal	0.104397
cocoa	0.103624
"sulfuric acid"	0.103561
maize	0.102502
"vegetable oil"	0.0983685
forage	0.096379
"dairy product"	0.0961779
"black tea"	0.0957204
ethanol	0.0954821
aquatics	0.0945618
"steel plate"	0.0945247
barley	0.0925121
"essential oil"	0.0922409
ore	0.0917022
"iron ore"	0.0886207
"lubricating oil"	0.088119
"sea food"	0.08807
"caustic soda"	0.0879644
paddy	0.0872552
canola	0.0866883
beet	0.0860166
starch	0.0838609
"chemical compound"	0.083039
newsprint	0.0829349
soybean	0.0829285
"liquefied petroleum gas"	0.082566
billet	0.0821422
ingot	0.0814743
"coffee bean"	0.0795775
condensate	0.079334
coconut	0.0787622
"frozen food"	0.0786863
"canned food"	0.0777814
"cooking oil"	0.0770585
"California wine"	0.0764549
cellulose	0.0764403
legume	0.0764279
fibre	0.0759045
"sugar beet"	0.0758756
bauxite	0.0753105
LPG	0.0752919
opium	0.0750041
"milk powder"	0.0744513
foodstuff	0.0741906
"maple syrup"	0.0741522
Zinc	0.0738301
"freshwater fish"	0.0736734
"ground beef"	0.0734727
millet	0.0734618
rapeseed	0.0732867
"macadamia nut"	0.071805
biogas	0.0703821
petrochemical	0.0701118
Gypsum	0.069961
"rare earth"	0.0691869
poultry	0.0685908
"citric acid"	0.0685655
biomass	0.0683162
tapioca	0.0682389
ammonia	0.0681781
"citrus fruit"	0.0678946
VCD	0.067647
hydrocarbon	0.0674848
"soya bean"	0.0669773
resin	0.0667004
"sulfur dioxide"	0.0664474
"vanilla extract"	0.0641351
pulp	0.0634964
polypropylene	0.0634653
polyethylene	0.0632443
telomerase	0.0630086
"fruit juice"	0.0628776
"soybean oil"	0.061527
"sex hormone"	0.061209
"wrapping paper"	0.0611043
collagen	0.0610904
"polyvinyl chloride"	0.0605604
cassava	0.0605366
wastewater	0.0601925
aluminium	0.060109
"wind power"	0.0599798
CFCs	0.059863
buckwheat	0.0595198
"orange juice"	0.0594536
"fish meal"	0.0590364
IC	0.0589937
litchi	0.0588343
lentil	0.0586353
hGH	0.0580755
OD	0.0580647
"diesel oil"	0.0580314
"tea set"	0.0578536
hazelnut	0.0578186
insecticide	0.0576011
"sweet potato"	0.0574057
tritium	0.0568765
melatonin	0.0568359
PVC	0.0566802
cashmere	0.056602
oilseed	0.0564226
veggie	0.0563728
"two million tons"	0.056292
"electrical power"	0.0561907
pellet	0.0560539
lysine	0.0559571
gemstone	0.0554839
chloride	0.0554371
inkjet	0.0554277
"Roundabout Theater Company"	0.0554256
prawn	0.0551859
"alcoholic beverage"	0.0548358
refrigerant	0.0546204
"fuel oil"	0.0545862
husbandry	0.0538083
"cake mix"	0.0535815
"sunflower seed"	0.0535369
"consumer goods"	0.0534395
latex	0.0533472
groundnut	0.0533392
"green tea"	0.0528447
"heating oil"	0.0528028
"hot chocolate"	0.0527184
harvester	0.0525591
veal	0.0525485
polyester	0.0520673
"egg yolk"	0.0518648
"nuclear energy"	0.0517888
sweetener	0.0517341
"white rice"	0.0515583
methamphetamine	0.0513364
pigment	0.0512956
kernel	0.0512047
phosphorus	0.0506388
"oil palm"	0.0504988
almond	0.0504627
insulin	0.0502925
pistachio	0.0500752
"machine tool"	0.0496951
smallholder	0.0496396
grappa	0.0495689
dopamine	0.0494292
"Lincoln Center Theater"	0.0492778
compressor	0.0492455
"carbon dioxide"	0.0488977
nitrate	0.0488407
horticulture	0.0484505
F-H	0.0483326
meth	0.0480606
"steel production"	0.0480428
penicillin	0.0480058
"sparkling wine"	0.0479493
"household appliance"	0.0478805
dram	0.0478285
"solar cell"	0.0476781
"passenger car"	0.0475876
ginseng	0.0474799
"brown sugar"	0.0474312
jewellery	0.0470743
oleander	0.0470693
hemp	0.0470628
"Wild Party"	0.0470459
cranberry	0.0470028
talc	0.04697
"tap water"	0.0469611
olestra	0.0469339
chlorine	0.0468053
carbon	0.0466369
eel	0.046175
"powdered milk"	0.0460472
acetone	0.0460114
"almond extract"	0.0459369
molasses	0.045763
Moonshine	0.0457504
"cherry tomato"	0.0455871
ginkgo	0.0455232
"M&AMP;Ms"	0.045395
palladium	0.0450717
"opium poppy"	0.0449114
))
(canine (desc 3609.69) (sims
"mountain gorilla"	0.0742141
pooch	0.0712014
chimp	0.0701855
Atlantans	0.0636135
critters	0.060779
Primate	0.0566708
poodle	0.0549651
"farm animal"	0.0540453
"car door"	0.0537935
mammal	0.0533428
midshipmen	0.0523305
crewmates	0.0515279
thoroughbred	0.0514122
"police dog"	0.0512481
"media property"	0.0511685
curmudgeon	0.0509311
"Little Dog"	0.0505747
chimpanzee	0.0502783
overachiever	0.0501971
smooch	0.049168
comeuppance	0.0480122
"alarm clock"	0.0476459
orangutan	0.0475496
"German shepherd"	0.0475409
"New York Republicans"	0.0473205
valet	0.0472172
mice	0.0456693
vermin	0.0454742
old-timer	0.0451428
ape	0.0451165
"domestic animal"	0.0451042
rebounders	0.0450161
snowflake	0.0449582
stallion	0.0447573
"living thing"	0.0447479
registrant	0.0446877
baboon	0.0443305
kitten	0.0442863
beagle	0.0439289
pup	0.0439181
hoodlum	0.0436955
quarterfinalists	0.0436421
"pirate ship"	0.0435481
Baumhammers	0.0432258
parrot	0.043216
"golden retriever"	0.0430194
"two hands"	0.0430172
Confederate	0.0429703
mutt	0.0429684
rodent	0.0429179
enlistee	0.042717
panda	0.0426665
"church member"	0.0425738
"job candidate"	0.0425422
rabbit	0.042257
"No. @s"	0.0422355
"subsidiary company"	0.0420736
"Texas Democrats"	0.0419278
pallbearer	0.0419249
parachutist	0.0418502
bunny	0.0417229
"foul shot"	0.0414226
parishioner	0.0413084
celebrant	0.0412955
"right whale"	0.0411638
hatchlings	0.0411082
frog	0.0410485
pikachu	0.0408819
"break of serve"	0.0406103
torso	0.0406046
Dutchmen	0.0405508
"hearing aid"	0.0404559
starling	0.0400181
))
(canister (desc 18190) (sims
cannister	0.212379
Grenade	0.187307
"tear gas"	0.184126
container	0.115938
projectile	0.114311
cylinder	0.112194
"hand grenade"	0.106001
"explosive device"	0.102377
firebomb	0.100343
tank	0.0996875
"water cannon"	0.0949005
bullet	0.0920699
Shell	0.0915849
"Molotov cocktail"	0.0904837
bomb	0.089813
bottle	0.0864984
casing	0.0859871
explosive	0.0848881
pellet	0.0836867
cartridge	0.0816404
crate	0.0816039
munition	0.0790915
mortar	0.0785789
"gasoline bomb"	0.0777422
pipe	0.0776652
"pipe bomb"	0.0773276
bag	0.0769328
device	0.0760551
tube	0.0758348
suitcase	0.0741355
"gas tank"	0.0736518
firecracker	0.0736146
brick	0.0721415
missile	0.0714508
"cigarette butt"	0.0711763
"machine gun"	0.0711586
vial	0.0703311
ammunition	0.0703149
box	0.0698856
gas	0.069634
"beer can"	0.0689602
cannon	0.0686585
tanker	0.0680847
baton	0.0676198
cannonball	0.0668367
"Branch Davidians"	0.0664766
pistol	0.0661691
"cluster bomb"	0.0659998
gun	0.065425
flare	0.0653203
knife	0.0646526
jar	0.06436
battery	0.0641502
rocket	0.0638566
launcher	0.0631703
defoliant	0.062776
rifle	0.0627702
plastic	0.0620731
"nerve gas"	0.0620463
"storage tank"	0.0617749
weapon	0.0614783
tray	0.0609262
"land mine"	0.0607524
bomblets	0.0606916
"petrol bomb"	0.0604557
shrapnel	0.0600682
drum	0.0596326
jug	0.0593285
generator	0.0592869
rod	0.0592525
barrel	0.0585631
"fire extinguisher"	0.0585037
balloon	0.0582073
glass	0.0581747
backpack	0.0578757
propellant	0.0575781
"atomic bomb"	0.0574162
molecule	0.057411
inhalation	0.0572276
bucket	0.0570523
"trash can"	0.0569556
"beer bottle"	0.0566608
pouch	0.0564231
firearm	0.0564072
chemical	0.0561256
briefcase	0.056118
"water bottle"	0.0559474
capsule	0.0558377
sack	0.055146
kettle	0.0549978
munitions	0.0547473
revolver	0.0545985
truck	0.0544972
"automatic rifle"	0.0544313
vapor	0.0542661
artillery	0.054009
"rocket launcher"	0.0539754
"grocery bag"	0.0536456
"baseball bat"	0.0536174
handgun	0.0535146
sheeting	0.0533826
"personnel carrier"	0.0533405
pot	0.0533367
cooler	0.0531456
shotgun	0.0530365
"booby trap"	0.0530285
hose	0.0529215
cooker	0.0527771
tubing	0.0524661
Tin	0.052216
"shopping bag"	0.0519939
napalm	0.0518342
Tomahawk	0.0517105
Liquid	0.0514892
Concrete	0.0513123
"laser beam"	0.0512376
debris	0.0512036
plume	0.051152
dynamite	0.0510778
Davidians	0.0508686
stove	0.0507703
syringe	0.0507616
particle	0.0503143
torpedo	0.0502799
pail	0.0501801
carton	0.0501325
additive	0.0500112
sheet	0.0498967
nightstick	0.0498888
harpoon	0.0497753
Sarin	0.0496839
landmines	0.0494234
isotope	0.0494229
"book bag"	0.0493971
"electronic device"	0.0493513
"time bomb"	0.0493177
"soda can"	0.0491669
laser	0.0491216
Coin	0.0488489
"mortar fire"	0.0488157
flashlight	0.0485345
machine-guns	0.0483637
"submachine gun"	0.0482805
fragment	0.0474445
inhaler	0.0474335
cask	0.0474005
detonator	0.0473831
shard	0.0471954
heater	0.047132
parcel	0.0470607
mixture	0.0470549
warhead	0.0470078
blanket	0.0469965
"duffel bag"	0.0467937
coffin	0.0467236
"surface-to-air missile"	0.0466644
musket	0.0465707
metal	0.0465353
weaponry	0.0465032
"car bomb"	0.0464707
packet	0.0464087
kit	0.0463506
detector	0.0463497
firework	0.0459917
"ball bearing"	0.0459737
"heavy weapon"	0.0458862
acid	0.0458853
insulation	0.0458497
quantity	0.0456587
candle	0.0456042
fireball	0.0455209
Garbage	0.0454698
"nuclear warhead"	0.0453053
"nuclear weapon"	0.0452892
trailer	0.0452127
fume	0.0450005
"body part"	0.0449731
luggage	0.0449446
satchel	0.044938
Atom	0.044916
helmet	0.0449065
barricade	0.0448264
volley	0.0447922
Casket	0.0445996
slab	0.0445519
"human waste"	0.0444841
"shopping cart"	0.0444539
Bin	0.044369
substance	0.0440804
gunshot	0.0439371
pallet	0.0437328
envelope	0.0437158
ordnance	0.0436758
cargo	0.0435417
lamp	0.0435167
"golf ball"	0.0434862
ore	0.0434844
"file cabinet"	0.0433066
snowball	0.0432041
bundle	0.0431927
))
(canker (desc 2002.23) (sims
"foot-and-mouth disease"	0.224814
"West Nile"	0.174255
Hantavirus	0.168508
"contagious disease"	0.16578
O@@@:H@	0.153663
"dengue fever"	0.152189
giardia	0.151724
rinderpest	0.148364
listeria	0.147336
"animal disease"	0.144114
coli	0.143971
Dengue	0.143426
cryptosporidium	0.136645
cholera	0.133834
Rabies	0.133828
smallpox	0.130068
"AIDS virus"	0.117276
ebola	0.114105
Meningitis	0.114034
locust	0.112943
encephalitis	0.112237
leprosy	0.111513
malignancy	0.111426
pest	0.110335
nematode	0.110278
anthrax	0.109773
tuberculosis	0.108171
"plant disease"	0.108132
"water hyacinth"	0.101763
"Love Bug"	0.100818
malaria	0.100692
CJD	0.100555
polio	0.100452
influenza	0.0988308
microbe	0.0987916
measles	0.0978976
"coca crop"	0.0949124
Tb	0.0947631
parasite	0.094725
"yellow fever"	0.0940375
"food poisoning"	0.0926972
salmonella	0.0922562
syphilis	0.0916796
"hepatitis B"	0.0912443
pathogen	0.0910247
BSE	0.0902921
bacterium	0.0902217
pandemic	0.0900023
fungus	0.0884628
"infectious disease"	0.0856683
"communicable disease"	0.08524
"bubonic plague"	0.0849322
contagion	0.0844855
bacillus	0.0835697
encephalopathy	0.0835298
bacteria	0.0822742
"fire ant"	0.0811574
Chlamydia	0.0798241
poliomyelitis	0.0776118
"forest fire"	0.0774317
diarrhea	0.0762707
HIV	0.07621
flu	0.0756171
germ	0.0754399
Melissa	0.074961
"Human Immunodeficiency Virus"	0.0743692
"hepatitis A"	0.0736425
"cold wave"	0.0735902
"sexually transmitted disease"	0.0732862
diarrhoea	0.0732215
HIV/AIDS	0.072661
gastroenteritis	0.0723998
termite	0.0718328
Benecol	0.0717932
mosquito	0.0701365
"fruit fly"	0.0699697
"Creutzfeldt-Jakob Disease"	0.069514
"typhoid fever"	0.0694432
hepatitis	0.0692354
infestation	0.0691223
"acquired immune deficiency syndrome"	0.0680706
aphid	0.0678435
sickness	0.0675513
STDs	0.0674277
spore	0.067073
Lice	0.0670272
hyacinth	0.0662492
"oil slick"	0.0661912
weevil	0.0660271
"brush fire"	0.065846
scourge	0.0657835
Dysentery	0.0653123
insect	0.0651428
"acid rain"	0.0645672
aids	0.0644684
wildfire	0.0642233
windstorm	0.0636949
"accounting problem"	0.06357
beetle	0.0634487
Lyme	0.0631637
militancy	0.0629555
"HIV/ AIDS"	0.0619783
cyanide	0.0611724
"human activity"	0.0607814
radioactivity	0.0602072
rollovers	0.0602031
pneumonia	0.0600979
"cancer cell"	0.0600213
"colon cancer"	0.0599337
"Lyme disease"	0.0593972
floodwater	0.0591802
Sarin	0.0586761
reflux	0.0584639
hooliganism	0.058442
chickenpox	0.0583216
rotavirus	0.058007
downdraft	0.057983
"flash flood"	0.0577398
sharpshooter	0.0573428
anemia	0.0571484
toxin	0.0564505
heatwave	0.0563898
twister	0.0563335
gangrene	0.0562756
desertification	0.0561437
mite	0.0561269
decomposition	0.0559522
Parkinson's	0.0558887
contamination	0.0558682
IDD	0.0557208
dioxins	0.0556545
"drug addiction"	0.0553894
extremism	0.0551939
microorganism	0.0551231
"Hurricane Andrew"	0.0547774
MTBE	0.054579
malnutrition	0.0541958
sandstorm	0.054186
illiteracy	0.0538407
"water pollution"	0.053828
corrosion	0.0538021
blight	0.0537037
blindness	0.0535204
herpes	0.0532865
"Spanish Civil War"	0.0530896
trachoma	0.0528467
"skin cancer"	0.0528412
borer	0.0526751
dampness	0.0525451
deceleration	0.0523187
"rheumatoid arthritis"	0.0521677
"lung cancer"	0.0521675
"cystic fibrosis"	0.0519152
contaminant	0.0517928
poisoning	0.0514186
typhoid	0.0512783
Osteoporosis	0.0509577
worm	0.0506126
"chocolate mousse"	0.0502436
deflation	0.0501932
grasshopper	0.0501819
"solar radiation"	0.0501288
"ultraviolet radiation"	0.0498335
mildew	0.0497495
"crime wave"	0.0495163
arsenic	0.0493499
botulism	0.0488389
anti-Semitism	0.0487052
gonorrhea	0.048682
fundamentalism	0.0486061
"woman's body"	0.0483735
unionization	0.0480169
melanoma	0.0480009
gallstone	0.0478309
"respiratory disease"	0.047739
turbulence	0.0476516
pollen	0.047585
"urban sprawl"	0.0473519
pox	0.0472498
imposter	0.0469711
hysteria	0.0469127
Obesity	0.0468636
disunity	0.0468311
polyp	0.046812
Typhoon	0.0468086
"Mountain Dew"	0.0466264
malaise	0.0466241
famine	0.0464605
acne	0.0463535
"hydrogen sulfide"	0.0463066
VX	0.0460357
"moral hazard"	0.0457988
floodwaters	0.0456801
Auger	0.0456475
asthma	0.0455875
"air current"	0.0454421
inundation	0.0453973
degradation	0.0451471
Fascism	0.0449951
algae	0.044847
))
(canna (desc 1248.18) (sims
zinnia	0.165307
petunia	0.123694
geranium	0.112356
amaryllis	0.109594
impatiens	0.0918868
marigold	0.0901924
chrysanthemum	0.0751702
azalea	0.0745095
poppy	0.071027
dahlia	0.0700889
fern	0.066578
hydrangea	0.0616691
snapdragon	0.0602779
led	0.0602706
oleander	0.0588293
tulip	0.0580008
fescue	0.0539565
hosta	0.0528289
aster	0.0507065
hibiscus	0.0488356
pansy	0.0467957
chaise	0.0462234
wilting	0.0455296
sedum	0.0451303
"Silver Star"	0.0440809
"Bronze Star"	0.0430947
bauhinia	0.0421956
))
(cannabis (desc 10603.6) (sims
marijuana	0.282819
hashish	0.21829
heroin	0.215842
opium	0.213164
cocaine	0.203818
morphine	0.19455
methamphetamine	0.194359
amphetamine	0.185481
LSD	0.17173
methamphetamines	0.156026
narcotic	0.153033
coca	0.149703
"hard drug"	0.145836
ephedrine	0.139908
"opium poppy"	0.136649
marihuana	0.134353
ecstasy	0.132817
hemp	0.128606
bhang	0.116988
opiate	0.110829
ketamine	0.106777
drug	0.104313
GHB	0.103801
stimulant	0.102469
EPO	0.102153
poppy	0.0973223
meth	0.0936766
tablet	0.0936304
nicotine	0.092312
steroid	0.0890135
caffeine	0.0883696
"oil palm"	0.0874966
explosive	0.086814
methadone	0.0860637
uranium	0.0851105
ginseng	0.0844795
Chara	0.0844473
tobacco	0.0842733
khat	0.0832073
maize	0.079998
alcohol	0.0797755
sedative	0.0793578
Ritalin	0.0779449
Valium	0.0777655
contraband	0.0773949
thalidomide	0.0766954
Erythropoietin	0.0757886
ENBREL	0.075704
wheat	0.0751763
plutonium	0.0746694
"palm oil"	0.0741764
rice	0.0737979
androstenedione	0.0731316
tamoxifen	0.0728086
grain	0.0724912
pill	0.0723713
LNG	0.070262
"designer drug"	0.0702188
pseudoephedrine	0.0700611
diuretic	0.0698994
"human growth hormone"	0.069537
sorghum	0.0690874
viagra	0.0688805
PVC	0.0684971
"five kilograms"	0.0673536
substance	0.0658454
antibiotic	0.0654625
tea	0.0654505
polyethylene	0.0651002
andro	0.0649068
stanozolol	0.0640114
fertilizer	0.064005
aspirin	0.0638438
AZT	0.0632013
sugarcane	0.06291
"cashew nut"	0.0627483
Burley	0.0626843
cocoa	0.0623737
herb	0.0622706
dynamite	0.0621722
Xenical	0.0618348
barley	0.0617852
Herceptin	0.061766
tranquilizer	0.0614467
firearm	0.0614446
clenbuterol	0.0609521
biogas	0.060838
nandrolone	0.0608343
Prozac	0.0606303
ephedra	0.0603008
Zoloft	0.0600283
powder	0.0592828
Propulsid	0.0591989
Avonex	0.0589942
medication	0.058914
sugar	0.0588181
paddy	0.0585969
"sugar cane"	0.058593
"coffee bean"	0.0585267
Epogen	0.0583708
chemical	0.0579883
"raw material"	0.0577853
Phentermine	0.0573235
hydrocarbon	0.0572763
cotton	0.0570795
painkiller	0.0570465
coffee	0.0570091
"plastic explosive"	0.0567014
grape	0.0562801
pesticide	0.056026
jute	0.0559474
Rezulin	0.0558448
corn	0.0555778
flour	0.0555119
resin	0.0553614
foodstuff	0.0553502
cigarette	0.0552869
"growth hormone"	0.0551878
pot	0.0551059
booze	0.0547585
kg	0.0544777
condom	0.0539933
capsaicin	0.0539315
tritium	0.0533319
"high explosive"	0.0530491
timber	0.0528881
methanol	0.052281
"sleeping pill"	0.051789
mutton	0.0516005
testosterone	0.0512928
soybean	0.0512176
"diesel oil"	0.0511682
creatine	0.0510888
contraceptive	0.0510571
oilseed	0.0507442
liquor	0.0506043
cassava	0.0505744
MDMA	0.0505587
pistachio	0.0502819
Coal	0.0499487
"fish meal"	0.0499328
Celebrex	0.0497378
paraphernalia	0.0497295
LIPITOR	0.0496619
"wheat flour"	0.0495312
eel	0.049516
inhaler	0.0494735
RU-@@@	0.0492085
estrogen	0.0491751
blueberry	0.0490681
VCDs	0.0487505
additive	0.0486336
vegetable	0.0486214
acupuncture	0.0485577
interferon	0.0485324
heroine	0.0484173
rapeseed	0.0483762
vitamin	0.0483759
"natural gas"	0.0483563
"electrical device"	0.0479036
"polyvinyl chloride"	0.0476151
laxative	0.0475126
ammunition	0.047439
seaweed	0.0473501
penicillin	0.0473325
"black tea"	0.0472958
syringe	0.047117
"prescription drug"	0.0469678
bean	0.0468565
pornography	0.04684
mushroom	0.0468213
diagnostics	0.0467709
cobalt	0.0465916
shrimp	0.0465613
"fossil fuel"	0.046483
diamond	0.0462804
"liquefied natural gas"	0.0462555
"dairy product"	0.0461183
poultry	0.0460649
derivative	0.0458664
"nuclear energy"	0.045639
nitroglycerin	0.0455397
"crude oil"	0.0455199
newsprint	0.0455136
"vegetable oil"	0.0454167
vermiculite	0.0451929
hormone	0.0451775
mifepristone	0.0451001
Vaccine	0.0450792
"steel plate"	0.0450049
melatonin	0.0449685
asbestos	0.0447956
"compact disc"	0.0447877
"mosquito net"	0.0447749
"powdered milk"	0.0446804
Prilosec	0.0446067
flax	0.0445389
orchid	0.044477
bitumen	0.0444754
anti-inflammatory	0.0443973
))
("canned food" (desc 3477.45) (sims
"canned goods"	0.210202
"cooking oil"	0.197172
"frozen food"	0.147842
"powdered milk"	0.145038
"fruit juice"	0.14431
cereal	0.139854
knitwear	0.138497
foodstuff	0.135103
"snack food"	0.126231
"food grain"	0.126096
"milk powder"	0.125878
"dairy product"	0.123468
biscuit	0.118577
"cooking utensil"	0.115031
"soft drink"	0.112864
"mineral water"	0.108791
"wheat flour"	0.106106
"household appliance"	0.105249
"sea food"	0.104532
toiletry	0.102883
lentil	0.102108
cosmetic	0.101765
beverage	0.10142
bread	0.101157
"vegetable oil"	0.101133
tea	0.0998156
soap	0.0991313
cocoa	0.0989731
detergent	0.0985008
legume	0.0981142
footwear	0.0976896
"frozen foods"	0.0969594
"tuna fish"	0.096316
candy	0.0953685
"food product"	0.0951864
sheeting	0.0948191
"alcoholic beverage"	0.0944068
mutton	0.0942767
milk	0.0941825
seafood	0.0937254
"toilet paper"	0.0937039
sugar	0.0929883
"building material"	0.0927473
"dried fruit"	0.0920429
soda	0.0917646
"cashew nut"	0.0915034
cement	0.0911562
rubber	0.0909013
margarine	0.0906722
flour	0.0905825
vegetable	0.0900911
Firewood	0.0899728
"bamboo shoot"	0.0897779
blanket	0.0893365
"sugar cane"	0.0892576
textile	0.0892562
pasta	0.0891784
garment	0.08875
"orange juice"	0.0873993
"water bottle"	0.0870769
dairy	0.087012
spice	0.0867631
coffee	0.0864411
noodle	0.0863928
handicraft	0.0863725
veggie	0.0862857
snack	0.0860185
flashlight	0.0856749
poultry	0.0855494
lard	0.0852875
jute	0.0849225
pharmaceutical	0.0848048
macaroni	0.0845571
pork	0.0840115
fertilizer	0.0833823
"coconut oil"	0.0828715
porridge	0.0822603
"raw vegetable"	0.082243
diaper	0.0813443
"gas stove"	0.0810799
shellfish	0.0806324
"pet food"	0.0795478
tapioca	0.0794166
"computer equipment"	0.0789235
sisal	0.0789042
bouillon	0.0788423
"macaroni and cheese"	0.0788024
"animal product"	0.0787077
grain	0.0778802
"cane sugar"	0.0777814
"evaporated milk"	0.0774639
"first-aid kit"	0.0774024
juice	0.0768158
cot	0.0767342
"consumer goods"	0.076502
"sleeping bag"	0.0764461
sweetener	0.0761511
"chicken broth"	0.0757641
"palm oil"	0.0757548
"water filter"	0.0757371
"baked goods"	0.0753837
oatmeal	0.0751841
"french fries"	0.0749656
wheat	0.0748352
"citrus fruit"	0.0743937
conditioner	0.0740079
"home appliance"	0.073578
starch	0.0735648
pastry	0.0735062
bedding	0.0717871
"kerosene lamp"	0.0714978
Plywood	0.0712557
"integrated circuit"	0.0711425
"iced tea"	0.0711278
"raw meat"	0.0710693
"laundry detergent"	0.0707816
utensil	0.070715
cornmeal	0.0706634
Livestock	0.0706602
timber	0.0706598
molasses	0.070555
appliance	0.0704726
"soya bean"	0.0703099
apparel	0.0703001
Gatorade	0.0697422
cracker	0.0697415
"pig iron"	0.0697131
groundnut	0.069358
sugarcane	0.0692644
quilt	0.0691218
rapeseed	0.0688239
"synthetic fiber"	0.0688236
bean	0.0687779
"potato chip"	0.0684984
cookware	0.068399
"electric fan"	0.0682705
"ice cream"	0.068254
coconut	0.0681717
"medical aid"	0.068159
liquor	0.0679214
Coal	0.0675367
"drinking water"	0.0674781
"skim milk"	0.0669142
"machine tool"	0.0668092
oilseed	0.0664833
applesauce	0.0664497
condiment	0.0662986
lemonade	0.0662946
low-fat	0.0658583
dessert	0.0658518
citrus	0.0657876
"washing machine"	0.0656351
"central heating"	0.0656092
cornstarch	0.0654989
popcorn	0.0654238
"electronic equipment"	0.0653781
"chicken stock"	0.0653563
"bay leaf"	0.0648714
toothpaste	0.0648462
cooky	0.0646501
"animal husbandry"	0.0644048
"circuit board"	0.0642728
soybean	0.0642296
"corn syrup"	0.0641208
mattress	0.064098
vitamin	0.0637234
"mosquito net"	0.0636749
yeast	0.0635618
tofu	0.0632529
"black tea"	0.0631687
"loaf of bread"	0.0630564
"cat food"	0.0629825
"citric acid"	0.0625781
disinfectant	0.0623525
yogurt	0.0621951
broth	0.0621902
maize	0.0621094
seasoning	0.0620333
barley	0.0618563
overcoat	0.0618314
"plate glass"	0.0615747
croissant	0.0613497
"egg yolk"	0.0612986
"fresh fish"	0.0612403
banana	0.061221
half-and-half	0.0611093
vanilla	0.061031
fodder	0.0609801
electronics	0.0609772
cashew	0.0609346
stationery	0.0608904
air-conditioner	0.0606616
sorghum	0.0604854
"electric power"	0.0604064
honey	0.0601404
bagel	0.0599591
housewares	0.0598858
"color television"	0.0598546
watermelon	0.0596051
"green salad"	0.0595606
))
("canned goods" (desc 2381.82) (sims
"canned food"	0.210202
"powdered milk"	0.149224
"cooking oil"	0.138847
diaper	0.110157
flashlight	0.107181
"tuna fish"	0.105823
foodstuff	0.104161
"water filter"	0.103165
detergent	0.102969
legume	0.102511
toiletry	0.102455
cracker	0.100795
Firewood	0.098966
"milk powder"	0.097429
"toilet paper"	0.0973319
"wheat flour"	0.0960247
lentil	0.0940678
"baked goods"	0.0916977
"pet food"	0.091604
"fruit juice"	0.088755
cereal	0.0880012
"cold cuts"	0.0872099
bread	0.0865504
soap	0.0865165
"gas stove"	0.0852092
lard	0.0841764
"green salad"	0.0833886
"soya bean"	0.0830677
biscuit	0.0818345
"dairy product"	0.0814395
bulgur	0.0814104
sorghum	0.0812403
"cooking utensil"	0.0802065
"raw vegetable"	0.0787849
"kerosene lamp"	0.0786449
pea	0.0781547
knickknack	0.0781141
"raw data"	0.077836
"tomato paste"	0.0778074
"sea food"	0.0766099
flour	0.076214
grocery	0.0757107
disinfectant	0.0746988
"water bottle"	0.0745708
Kleenex	0.0742395
"household appliance"	0.073412
"vegetable oil"	0.0728783
"paper bag"	0.0728415
macaroni	0.0728008
REPELLENT	0.0725734
noodle	0.0722225
electrolyte	0.0715885
mutton	0.0713885
"chicken broth"	0.071086
alternator	0.0709796
ammo	0.0709616
doughnut	0.0708875
"central heating"	0.0707054
"tomato sauce"	0.0696489
"sunflower seed"	0.0692913
"can opener"	0.0689807
toothpaste	0.0688974
cookware	0.0683386
pasta	0.0681187
"french fries"	0.0677793
condiment	0.0668441
"mosquito net"	0.0667895
"electric fan"	0.0667023
"dry ice"	0.0666233
Gatorade	0.0665446
barley	0.0659641
"black bean"	0.0656485
candy	0.0655308
"dried fruit"	0.0651774
"soil conservation"	0.0651176
cornstarch	0.0648116
"egg yolk"	0.0647108
porridge	0.0647085
"chicken stock"	0.0643039
bedding	0.0640115
soda	0.0639755
"orange juice"	0.0639512
"dog food"	0.0639322
vitamin	0.0636539
"soft drink"	0.0635547
sheeting	0.0634365
molasses	0.0633936
"drinking water"	0.0631041
yogurt	0.0630405
cosmetic	0.0629105
"heavy weapon"	0.0626508
"food product"	0.0626174
"corn syrup"	0.062528
"green pepper"	0.0621479
margarine	0.0617041
sesame	0.0616639
sewerage	0.0616533
peanut	0.0613735
ketchup	0.0606327
Wheaties	0.0604929
"cider vinegar"	0.0604142
"medical aid"	0.0600933
half-and-half	0.0600009
Advil	0.0599372
toothbrush	0.0599341
plantain	0.0599103
oatmeal	0.0598946
Plywood	0.0598057
"pinto bean"	0.0595971
trinket	0.0595141
"sleeping bag"	0.0589692
carrot	0.0588525
"iced tea"	0.0580238
oreo	0.058015
"evaporated milk"	0.0579357
"bay leaf"	0.0578505
"sewer line"	0.0578409
"bamboo shoot"	0.057799
muffin	0.0571139
watermelon	0.0569664
snack	0.0568365
"machine tool"	0.0566089
broth	0.0565631
"black-eyed pea"	0.0565574
"loaf of bread"	0.0564948
"laundry detergent"	0.056444
"lubricating oil"	0.0563436
stationery	0.0561379
"silver dollar"	0.0558021
"condensed milk"	0.0556086
sweetener	0.0554862
honey	0.0552957
spam	0.0552706
"cat food"	0.0551893
"human waste"	0.0551168
maize	0.0550459
"mineral water"	0.0550403
footwear	0.054898
"tomato juice"	0.0546912
"trading card"	0.0546579
pickle	0.054075
cauliflower	0.0538951
"Easter egg"	0.0535156
"sugar cane"	0.0534306
"life jacket"	0.0532419
sausage	0.0531485
melon	0.0529798
cheerio	0.0529762
"electronic equipment"	0.0527354
receivables	0.0524878
raisin	0.0524751
"barbecue sauce"	0.0522333
"ransom money"	0.0522021
"lima bean"	0.052065
tortilla	0.0520138
"insect repellent"	0.0519114
goody	0.0518648
"rocket launcher"	0.0518291
poultry	0.0517466
salami	0.0516993
shellfish	0.0516809
seaweed	0.0516131
"goat cheese"	0.0515669
"fresh food"	0.0514334
"snack food"	0.0513172
IOU	0.0512094
crumb	0.0511753
"chili powder"	0.0511466
latrine	0.0511397
"tortilla chip"	0.051041
belonging	0.0509143
cucumber	0.050817
shredders	0.0507455
tapioca	0.0505485
"Beanie Babies"	0.049854
baguette	0.0497931
"beef broth"	0.049664
"computer equipment"	0.0495256
"false imprisonment"	0.0494895
"building material"	0.0494716
gunpowder	0.0494562
bagel	0.0493611
"electric motor"	0.0493596
"oil lamp"	0.0493525
"hot chocolate"	0.0492449
soy	0.0492328
"coconut milk"	0.0492176
denture	0.0491695
Chili	0.0491647
propane	0.049127
"sawed-off shotgun"	0.0490767
purifier	0.0490249
carton	0.048971
pretzel	0.0488984
quilt	0.0488565
"sports equipment"	0.0488488
band-aid	0.0486086
seafood	0.0485835
"vegetable soup"	0.0485501
chorizo	0.0485401
))
(cannery (desc 3213.41) (sims
sawmill	0.104915
hatchery	0.100038
TARTARE	0.0832578
"steel mill"	0.0826684
"paper mill"	0.0820047
"savings bank"	0.0792917
brewery	0.0780328
"machine shop"	0.0770056
Carpaccio	0.076751
"oil refinery"	0.0764538
mill	0.0752305
"parcel of land"	0.073103
"water plant"	0.0726606
slaughterhouse	0.0717772
distillery	0.071598
"psychiatric hospital"	0.0713741
"bus company"	0.071324
"day care center"	0.0687909
shipyard	0.0679047
smelter	0.0675811
refinery	0.0673323
bakery	0.0671549
"business establishment"	0.0670049
foundry	0.0666015
nursery	0.0664341
"gas station"	0.0662588
"building society"	0.0661505
"funeral home"	0.0658249
"service station"	0.0651681
"dairy farm"	0.0650241
crematorium	0.0635546
"piece of land"	0.063459
VISTEON	0.0633462
"textile mill"	0.0631439
"flour mill"	0.0629897
"beauty salon"	0.0629348
"public transport"	0.0626173
drugstore	0.0624119
"manufacturing plant"	0.0620675
hospice	0.0620343
"power company"	0.0619865
"electronics company"	0.0613123
thrift	0.0610086
"finance company"	0.0609284
"Unit @"	0.0602311
Pharmacy	0.060197
"Bankers Trust Corp."	0.0601436
"travel agency"	0.0595719
"printing press"	0.0595137
kennel	0.0594493
"publishing company"	0.0590419
"bomb site"	0.0583779
"post office"	0.0583054
"art gallery"	0.0582177
winery	0.0579699
preserves	0.0578525
"Rainbow Room"	0.0572648
"navy base"	0.0572462
"gas company"	0.0572096
"cattle ranch"	0.0571711
"chain store"	0.0568866
"shopping center"	0.0568824
mortuary	0.0567033
"office block"	0.0562592
"drainage area"	0.0558142
"department store"	0.0557696
"three schools"	0.0555376
"Waffle House"	0.0553549
incinerator	0.0549405
"radio transmitter"	0.0549331
"restaurant chain"	0.0547846
"telephone company"	0.0543972
Bathhouse	0.0537254
"Another @,@@@"	0.0537216
morgue	0.0536586
"nursing home"	0.053524
"jewelry store"	0.0534612
"Export Processing Zones"	0.053278
"TV station"	0.0532714
"development center"	0.0531239
"child welfare agency"	0.0530861
"pumping station"	0.053076
"retail operation"	0.0528166
"television station"	0.0528069
"public utility"	0.0527853
eateries	0.0527841
"retail store"	0.0527124
"insurance firm"	0.0524837
steamboat	0.0520541
abattoir	0.0519207
"opera house"	0.0518499
"power station"	0.0518364
"police academy"	0.051635
"liquor store"	0.0514452
"copper mine"	0.0514258
"amusement park"	0.0514044
deli	0.0513397
"business enterprise"	0.0509724
"Mobil Corp."	0.0509037
confit	0.0507608
"gambling casino"	0.0506328
"oil rig"	0.0505932
kiln	0.0505886
"Chrysler Corp."	0.0505267
"Consolidated Edison"	0.0503713
seawall	0.0503233
"National Theater"	0.0499863
"steel company"	0.0498015
"communications satellite"	0.0497095
Lexis-Nexis	0.0496804
"clearing house"	0.0496199
"savings and loan"	0.0495537
"brokerage house"	0.0495374
"Boys Ranch"	0.04953
"clothing store"	0.0494506
refiner	0.0494308
"District @@"	0.0493808
"general store"	0.0493742
nunnery	0.0493141
"movie theater"	0.0492439
"manufacturing business"	0.0492184
"military installation"	0.0491937
UNRWA	0.049192
"printing company"	0.0491766
wholesaler	0.0491591
EPZ	0.0489484
Electrolux	0.0488091
"water system"	0.0487603
"stock exchange"	0.0487123
"Transport Ministry"	0.0486531
stevedore	0.0486038
shipper	0.0485926
"medical center"	0.0485898
"fishing season"	0.0484937
chutney	0.0484295
"opera company"	0.0483225
shredder	0.0480334
substation	0.0479998
bureaus	0.0478553
"trucking company"	0.0477925
"educational institution"	0.0476968
"water main"	0.0475874
"grocery store"	0.0474234
EPZs	0.0473913
"employment agency"	0.0472972
"cable operator"	0.0472614
waterworks	0.0470837
"production facility"	0.0470503
tavern	0.0469672
depot	0.0466849
consortia	0.046675
Viburnum	0.0462141
vertebrate	0.04599
dealerships	0.0459584
"electric company"	0.0458224
vintner	0.0457549
"Canadian Airlines"	0.045724
emulsion	0.0457195
"oil well"	0.0456366
delicatessen	0.0456317
"industrial park"	0.045555
ECN	0.0454378
forklift	0.0453169
Woolworth	0.0453019
Dodgertown	0.0452963
"access road"	0.045274
"garbage dump"	0.0452587
"department store chain"	0.0452546
dairy	0.0451672
"work group"	0.0451086
Cookery	0.0449416
Mapes	0.0448737
"Catholic school"	0.0447956
"filling station"	0.044785
"Yad Vashem"	0.0447599
"resort hotel"	0.0447093
"Lotus Development Corp."	0.0446417
bungalow	0.0446055
"Digital Equipment Corp."	0.0445651
"food company"	0.0445098
"branch office"	0.0443789
bottlers	0.0443401
SabreTech	0.0443353
orchard	0.0443119
oilfield	0.0442668
SBA	0.044177
"office building"	0.0441433
"movie studio"	0.0441351
Fedex	0.0441275
aquaculture	0.044052
"ad agency"	0.0439904
SOE	0.0438794
"Orange County Register"	0.0438572
"convenience store"	0.0438418
florist	0.0436795
"summer house"	0.0435761
snowmobilers	0.0434844
kebab	0.0434599
"cable system"	0.043361
"ground crew"	0.0432592
))
(Cannes (desc 8374.26) (sims
"Cannes Film Festival"	0.209406
Sundance	0.199951
"Sundance Film Festival"	0.154903
"Cannes International Film Festival"	0.150221
Marseilles	0.0948975
Marseille	0.0941282
Chamonix	0.0917078
Montpellier	0.0894969
Venice	0.0866136
Eilat	0.0850555
Strasbourg	0.0849746
Toulouse	0.0831634
Bastia	0.0819332
Lyon	0.0804305
"Consumer Electronics Show"	0.0798471
CANCUN	0.0769693
Grenoble	0.0752958
Lille	0.073359
Stuttgart	0.0726314
Acapulco	0.0715078
Hamburg	0.0713134
Berlin	0.0697648
"Olympique Marseille"	0.0696774
Barcelona	0.0671335
Davos	0.0669882
Rome	0.0664098
Seville	0.0652749
Munich	0.0651854
"Monte Carlo"	0.0648492
Vienna	0.0646948
"Golden Globes"	0.0644603
Genoa	0.0634414
"Puerto Vallarta"	0.0629644
Salzburg	0.0629598
Bordeaux	0.0627282
Antalya	0.0625724
Avignon	0.0621915
Metz	0.0620997
"San Sebastian"	0.0620451
Toulon	0.0616225
Istanbul	0.0610643
Pattaya	0.0610616
Milan	0.0600008
Florence	0.0593259
Monaco	0.0592005
Naples	0.0589668
LISBON	0.0589367
Prague	0.0588551
"Paris St Germain"	0.0587761
"New York Film Festival"	0.0585061
Madrid	0.0583892
Phuket	0.0576823
Cartagena	0.0573499
BRUSSELS	0.0564312
Calais	0.0563562
Osaka	0.0560484
"Le Mans"	0.0559649
"Myrtle Beach"	0.0557089
"Sao Paulo"	0.0555608
Zurich	0.0555516
Turin	0.0554646
Amsterdam	0.0553183
Frankfurt	0.0550492
Duesseldorf	0.0549447
Dunkirk	0.0547128
Nantes	0.0544841
Rennes	0.0537718
"Park City"	0.0536677
"Academy Awards"	0.0535939
MELBOURNE	0.0535185
SAINT-ETIENNE	0.0532377
BRIGHTON	0.0531263
Montreal	0.0530282
PALERMO	0.0525962
Lausanne	0.0518779
Reykjavik	0.0516865
Sicily	0.0516811
Cardiff	0.0515191
Vancouver	0.0514
STOCKHOLM	0.0512306
Auxerre	0.0511572
"Shrine Auditorium"	0.0510804
Bari	0.0510464
Blackpool	0.0508855
Nago	0.0507099
Rotterdam	0.0505255
Geneva	0.0502741
"Long Beach"	0.0501619
"Rio de Janeiro"	0.049995
Trieste	0.0498975
"Santo Domingo"	0.0497742
"St. Petersburg"	0.0496687
Larnaca	0.049604
Vail	0.0495706
Copenhagen	0.0495699
"Atlantic City"	0.0494594
"Indian Wells"	0.049446
Sochi	0.0493501
Dover	0.0491162
Saint-Denis	0.049113
Dublin	0.0490445
Honolulu	0.0488711
Indianapolis	0.0487685
"Buenos Aires"	0.0486266
"Victoria Falls"	0.0486127
el-Sheikh	0.0479089
Cooperstown	0.0476426
Bayreuth	0.0475157
Oscar	0.047138
"World University Games"	0.0471236
Aqaba	0.046487
Durban	0.0464702
WARSAW	0.0463898
Adelaide	0.0463678
Auckland	0.0462723
Oslo	0.0462276
Murmansk	0.0461671
Martinsville	0.0459789
"Jean-Philippe Gatien"	0.0457765
Alexandria	0.0457602
Lugano	0.0455383
Winnipeg	0.0455031
Normandy	0.0453124
Halle	0.0450728
"Panama City"	0.0448394
Monterey	0.0447894
"Southeast Asian Games"	0.0447797
Antwerp	0.0447409
CARACAS	0.0446322
"Mexico City"	0.0444789
Durham	0.0443753
BASEL	0.0443148
Valencia	0.0441973
"Commonwealth Games"	0.0441713
Algiers	0.0440868
Bonn	0.0440472
Bremen	0.0438979
lens	0.0437864
Irwindale	0.0436799
"Cape Town"	0.0436296
Dresden	0.0436153
"Port Elizabeth"	0.0435234
Indy	0.0434513
Lucerne	0.0434313
Cavalese	0.0434276
Edinburgh	0.043361
"Quebec City"	0.0433392
"Roland Garros"	0.0432875
Malaga	0.0431651
Guadeloupe	0.0430381
Aspen	0.0428878
Hiroshima	0.0427223
"Atlanta Games"	0.0424086
Manado	0.0423546
ZAGREB	0.0423545
Plata	0.0422686
Lubbock	0.0422369
"Royal National Theater"	0.0421871
Jeddah	0.0421786
Guayaquil	0.0421667
Helsinki	0.0421269
"New London"	0.0420917
"Olympic Winter Games"	0.0420454
"Sears Point"	0.0419909
"World Athletics Championships"	0.0418654
Guadalajara	0.0418475
Flagstaff	0.0418005
"Santa Fe"	0.0416694
Brownsville	0.0416601
Durres	0.0416522
"Palm Springs"	0.0416256
Newport	0.0415753
SkyDome	0.0415418
Southampton	0.0414847
Hanover	0.0414289
"St. Andrews"	0.0413541
Palma	0.0413403
"Pan Am Games"	0.0412831
Manchester	0.0411764
Hakuba	0.0411651
Makhachkala	0.0410858
Zamboanga	0.0410507
Accra	0.0410439
Monterrey	0.0408733
Brisbane	0.0408143
Karlsruhe	0.0407817
Birmingham	0.0407433
"Des Moines"	0.0406827
Williamstown	0.0406486
Quito	0.0405721
"Carnegie Hall"	0.0403665
Cologne	0.0402929
"World Figure Skating Championships"	0.0402478
Pinehurst	0.0401987
Havana	0.0401366
Daytona	0.0400075
))
("Cannes Film Festival" (desc 3182.35) (sims
"Cannes International Film Festival"	0.366239
"Sundance Film Festival"	0.273919
Cannes	0.209406
Sundance	0.19338
"Consumer Electronics Show"	0.181325
"New York Film Festival"	0.161848
"Grammy Awards"	0.140164
"Golden Globes"	0.118449
"Shrine Auditorium"	0.114965
"Academy Awards"	0.112739
"Millrose Games"	0.108204
"World Health Assembly"	0.107818
AMM	0.107675
"Indy @@@"	0.0957792
"Annual Meeting"	0.0937033
"Olympic Trials"	0.0920519
Macworld	0.088872
"East Asian Games"	0.0883983
"World Athletics Championships"	0.088379
"Barcelona Olympics"	0.0881315
"spelling bee"	0.0868274
"Walter Reade Theater"	0.0867241
"London Marathon"	0.0865412
"World Junior Championships"	0.0865089
"Emmy Awards"	0.0842048
"Boston Marathon"	0.0837212
"World Table Tennis Championships"	0.083175
"Tony Awards"	0.0825388
"Barcelona Games"	0.0813084
"Eighth National Games"	0.0804855
"PGA Championship"	0.0802268
"World Figure Skating Championships"	0.0801143
"Lincoln Center Festival"	0.0799412
"National Games"	0.0783111
"Infantry Battalion"	0.0780472
"Royal National Theater"	0.0769253
"Waldorf-Astoria Hotel"	0.0767678
"Southeast Asian Games"	0.0765071
"Seoul Olympics"	0.0759319
"Olympic Winter Games"	0.075524
"Daytona @@@"	0.0754816
Grammys	0.0743745
"Atlanta Olympic Games"	0.0736104
Olympiad	0.0734136
"German Open"	0.073317
"World Congress"	0.0730095
Grammy	0.0725651
Pir	0.0721248
Giro	0.070763
"Alice Tully Hall"	0.0682108
"Ministerial Meeting"	0.0673904
"Asian Games"	0.0658775
"Commonwealth Games"	0.0658355
"Tony Award"	0.0654431
"International AIDS Conference"	0.0653127
"Atlanta Games"	0.0649235
"New York City Marathon"	0.0644022
"Fortune Global Forum"	0.0643459
"Goodwill Games"	0.0634595
Pocono	0.0630866
"ASEAN Ministerial Meeting"	0.0627613
"World Women"	0.0625061
"Sydney Olympic Games"	0.0616094
"Nobel prize"	0.0616061
"Jewish Museum"	0.0612036
"National Book Award"	0.0609731
tourney	0.0607196
"Golden Globe"	0.0605071
minicamp	0.0602091
Asiad	0.0602027
"International Conference"	0.059866
"Sears Point"	0.0597505
"Buick Invitational"	0.0592678
"Metropolitan Opera House"	0.0589024
"Summer Games"	0.0587844
"European Cup"	0.0579973
"French Open"	0.057664
"Southern Methodist University"	0.0574851
"World University Games"	0.0572346
"Cy Young Award"	0.0571884
"X Games"	0.0569406
"Republican National Convention"	0.0566979
PGA	0.0562915
"budget debate"	0.0559333
UPC	0.0559129
"Brickyard @@@"	0.0558692
"Airborne Division"	0.0558333
"Pan American Games"	0.0557063
"wedding anniversary"	0.0554105
conclave	0.0553046
"Bangkok Asian Games"	0.0552603
"Bay Hill"	0.0552075
"Eclipse Award"	0.0551062
"Senior Bowl"	0.0549038
"jazz festival"	0.0546239
"Kennedy Center"	0.0545835
"Summer Olympic Games"	0.0545238
"All-Star Game"	0.0543914
"Independence Day"	0.0543121
"European Championship"	0.053721
"Brooklyn Academy of Music"	0.0535489
Indy	0.0535151
"European Championships"	0.0533724
"Nagano Winter Olympics"	0.0532556
"Gold Glove"	0.0527536
Westminster	0.0525195
"Heisman Trophy"	0.0524096
"Buick Classic"	0.0523666
Brickyard	0.0522006
"US Open"	0.0521672
Cineplex	0.0521095
"Dorothy Chandler Pavilion"	0.0518811
"dog show"	0.0518616
"Sydney Games"	0.0516954
Belfry	0.0516639
"World Championships"	0.0516047
"American Dance Festival"	0.0511413
"Cy Young"	0.0509894
"World Swimming Championships"	0.0509143
"Thomas Cup"	0.0508954
CMA	0.0506313
percentile	0.0506292
"Grand Slam Cup"	0.0505966
"East Lake"	0.0502475
"Summer Olympics"	0.0501488
"Australian Open"	0.0501244
"LPGA Championship"	0.0498957
"Winning Colors"	0.0498626
confab	0.049835
Imola	0.0494178
"World AIDS Conference"	0.0493764
"Earth Summit"	0.0493493
"Consultative Group"	0.0490901
SkyDome	0.0489864
"SEA Games"	0.0489004
"Players Championship"	0.0488545
Oakmont	0.0487941
Valhalla	0.0486913
"Screen Actors Guild"	0.048456
Martinsville	0.048421
"World Cup Finals"	0.0481211
"John F. Kennedy Library"	0.0480933
"Santa Anita"	0.047982
"Roland Garros"	0.0479319
"Georgia World Congress Center"	0.0474453
"Infantry Division"	0.047307
"National Press Club"	0.0472433
"Santa Anita Derby"	0.0471358
Emmy	0.0469027
"Emmy Award"	0.0468123
"Sydney Olympics"	0.0466591
"Italian Open"	0.0466507
"Marine Midland Arena"	0.0459494
"Kentucky Derby"	0.0457597
"New York City Opera"	0.045376
"NL Rookie"	0.0453478
"Indianapolis Motor Speedway"	0.0452833
"Winter Olympics"	0.0451387
"Film Forum"	0.0451323
met	0.0451314
"Pulitzer Prize"	0.0451068
"National Party Congress"	0.0449345
"International Symposium"	0.0449255
Emmys	0.0448788
"Oak Hill"	0.0447068
"Museum of Modern Art"	0.044698
"Royal Birkdale"	0.0444132
Darlington	0.0443618
"Atlanta Olympics"	0.0443048
Futurity	0.0441052
"Academy Award"	0.0440393
"Metropolitan Museum of Art"	0.0438888
"Santa Anita Handicap"	0.043839
Paralympics	0.0438064
"Pan Am Games"	0.0433245
Maurier	0.043296
Heisman	0.0432819
"South Summit"	0.0432182
"Continental Airlines Arena"	0.0431052
guild	0.0428799
"Winter Games"	0.0428307
"District Court"	0.0428263
"Six Day War"	0.0427476
"African Nations Cup"	0.0427242
"Pleasant Valley"	0.0427183
"Earth Day"	0.0425969
"U.S. Naval Academy"	0.042535
"Winter Olympic Games"	0.0425344
powwow	0.0425195
"Preakness Stakes"	0.0424084
Wembley	0.0423868
"Pacific Classic"	0.0422811
"Churchill Downs"	0.0421853
bicentennial	0.04214
Suzuka	0.0420239
"Valley Ranch"	0.0418733
"Nobel Peace Prize"	0.0418613
NLCS	0.0417711
"Tour Championship"	0.0416328
"Hollywood Park"	0.0415269
))
("Cannes International Film Festival" (desc 1685.27) (sims
"Cannes Film Festival"	0.366239
"Sundance Film Festival"	0.228814
Sundance	0.195162
"New York Film Festival"	0.167489
Cannes	0.150221
"Consumer Electronics Show"	0.121605
"Golden Globes"	0.0994291
Imola	0.097115
"World Figure Skating Championships"	0.0879556
"World Junior Championships"	0.0844458
"Metropolitan Opera House"	0.0827341
Suzuka	0.0788218
"London Marathon"	0.077965
"Barcelona Olympics"	0.0758694
"Grammy Awards"	0.0741828
"East Asian Games"	0.0693514
"New York City Opera"	0.0683701
"World Athletics Championships"	0.067125
"Joyce Theater"	0.0658504
"Olympic Trials"	0.06412
"Winning Colors"	0.0639633
"Barcelona Games"	0.0639316
"Summer Olympic Games"	0.0595068
"about @@:@@"	0.0590029
"New York City Marathon"	0.0585847
"World Women"	0.0575974
"Dartmouth College"	0.0574303
"Eighth National Games"	0.0570535
"Tony Award"	0.05672
"Nobel Peace Prize"	0.0560651
"Shrine Auditorium"	0.0554988
"NL Rookie"	0.0554006
"Six Day War"	0.0551395
"Camp LeJeune"	0.0551094
"Olympic Winter Games"	0.0545925
"Academy Awards"	0.0543553
"Atlanta Olympic Games"	0.0542887
"Symphony Hall"	0.0541379
"Boston Marathon"	0.053796
"National Games"	0.0533988
"La Scala"	0.0533657
bicentennial	0.05291
"LPGA Championship"	0.0524735
"Kennedy Center"	0.0523647
"Walter Reade Theater"	0.0523604
Paralympics	0.0516717
"Queens College"	0.0515977
"Charlotte Motor Speedway"	0.0513575
"Public Theater"	0.050866
"World University Games"	0.0500241
"Sydney Olympic Games"	0.0498693
Asiad	0.0494942
"Atlanta Games"	0.0493651
Macworld	0.0485956
"Film Forum"	0.0483319
"Centennial Olympic Games"	0.0483012
"Seoul Olympics"	0.0480062
"Pulitzer Prize"	0.0477725
"German Open"	0.0476841
"Nagano Winter Olympics"	0.047681
"Georgia World Congress Center"	0.0474704
"Alice Tully Hall"	0.0473935
"Brooklyn Academy of Music"	0.0471132
"World Health Assembly"	0.046854
"budget debate"	0.0466981
"National Book Award"	0.0462513
Giro	0.0461982
"Lincoln Center Festival"	0.0460795
"College World Series"	0.0453015
"National Theater"	0.0449252
Grammys	0.0448815
"Thomas Cup"	0.0445412
grindstone	0.0440489
Maurier	0.0440118
"X Games"	0.0439876
"Carnegie Hall"	0.0437596
"Indy @@@"	0.0435024
"Cy Young Award"	0.0433396
"Nagano Olympics"	0.043249
"BellSouth Classic"	0.0430314
vasectomy	0.0429793
"World Group"	0.0429006
"New York State Theater"	0.0426585
"Brickyard @@@"	0.0424296
"European Championships"	0.0423558
Pocono	0.0423465
"African Nations Cup"	0.0421907
Tootsie	0.0421094
"MLS Cup"	0.0420521
"U.S. Naval Academy"	0.0418993
"Ebbets Field"	0.0413698
"Earth Summit"	0.0412731
Oakmont	0.040945
"College of Charleston"	0.0406671
"City Opera"	0.0405579
"P.S @@@"	0.0404753
"Southern Methodist University"	0.0403301
"American Ballet Theater"	0.0400093
))
(cannibal (desc 2961.23) (sims
"Sunni Muslims"	0.0541934
cartwheel	0.046671
hyena	0.0466572
non-Muslim	0.0432341
pacifist	0.04315
sleuth	0.042895
"inferiority complex"	0.0414944
slasher	0.041212
traitor	0.0400073
))
(cannibalism (desc 4208.62) (sims
polygamy	0.115209
incest	0.107554
"child abuse"	0.10664
mutilation	0.101727
"foul play"	0.0965291
"sexual activity"	0.0819116
ill-treatment	0.0804116
circumcision	0.0802626
"sexual assault"	0.0797464
mistreatment	0.0788132
infanticide	0.078482
brutality	0.0776885
maltreatment	0.0775919
bloodletting	0.0730872
rape	0.0719431
"drug use"	0.0716183
cross-fertilization	0.0708017
blackmail	0.0702027
maiming	0.0681729
looting	0.0665805
adultery	0.0665174
derring-do	0.0664962
vandalism	0.0657779
pedophilia	0.0653537
criminality	0.0649896
coercion	0.0646239
"mass murder"	0.0645766
one-upmanship	0.0639259
sectarianism	0.0638349
infidelity	0.063601
kidnapping	0.063599
malfeasance	0.0634103
misogyny	0.0630041
abduction	0.0627774
"civil disobedience"	0.0625987
witchcraft	0.0620516
"substance abuse"	0.0614508
suicide	0.0611638
prostitution	0.061084
arson	0.0609957
heroism	0.0607574
atrocity	0.0602665
persecution	0.0594985
intimidation	0.0593657
"election fraud"	0.0593073
bribery	0.0589843
flogging	0.0589581
gunplay	0.0586504
extermination	0.0586085
xenophobia	0.0584183
strangulation	0.0583473
enslavement	0.0580217
tampering	0.0579936
valor	0.0577125
Indiscipline	0.0575694
sodomy	0.0572705
molestation	0.0571661
plagiarism	0.0570051
espionage	0.0568847
harassment	0.0565836
price-fixing	0.0562201
thuggery	0.0557444
dishonesty	0.0557259
horse-trading	0.0555429
gift-giving	0.0551664
deception	0.0550865
thrift	0.0550223
"insider trading"	0.054981
"name calling"	0.0548154
mimicry	0.0547103
slavery	0.0547025
illegality	0.054646
homophobia	0.0546423
hostage-taking	0.0540717
rustling	0.0539432
vote-buying	0.0535424
monogamy	0.0534809
callousness	0.0533627
extremism	0.0532851
promiscuity	0.0532482
thievery	0.0530342
hooliganism	0.0530153
protectionism	0.0529776
banditry	0.0528135
impropriety	0.0526891
abstinence	0.052584
dissension	0.0523863
brinkmanship	0.0522652
"food poisoning"	0.0519182
poisoning	0.0516962
fisticuffs	0.0512834
Truancy	0.0512707
self-censorship	0.0510887
stabbings	0.050838
pillage	0.0504051
lynching	0.0504002
wrongdoing	0.0503713
"sexual intercourse"	0.0502649
gangrene	0.0501606
intolerance	0.0501393
disunity	0.0500729
homelessness	0.050058
insanity	0.0500307
escapism	0.0500244
purification	0.0499473
larceny	0.0498474
nudity	0.0498247
treachery	0.0496636
desertion	0.0496042
pollination	0.0495108
lawlessness	0.0494213
friction	0.0493983
Crucifixion	0.0493887
eugenics	0.0493441
sighting	0.0492825
betrayal	0.0490322
martyrdom	0.0490013
deceit	0.0489777
"damage control"	0.0489268
debauchery	0.0488252
adventurism	0.0487632
triage	0.0487621
"cosmetic surgery"	0.0487163
gunrunning	0.0485563
stupidity	0.0484332
"alcohol abuse"	0.0483783
warfare	0.0483765
fragmentation	0.0482247
cataclysm	0.0481594
immorality	0.0481452
cleansing	0.0481103
coverup	0.0480646
malpractice	0.0479798
euthanasia	0.0479066
rowdiness	0.0477642
delinquency	0.0475437
drunkenness	0.047444
"manual labor"	0.0473185
Qigong	0.0471562
self-employment	0.0470943
arm-twisting	0.047074
"mental illness"	0.0467911
mayhem	0.0466472
rigging	0.0465114
victimization	0.0464495
vulgarity	0.0461597
irregularity	0.0459877
braggadocio	0.0459855
stalking	0.0459247
hegemonism	0.0458513
chicanery	0.0457224
seduction	0.0456746
self-destruction	0.0456224
horseplay	0.0455926
ennui	0.0453809
"power politics"	0.0453468
butchery	0.0453184
extortion	0.0451826
"class warfare"	0.0451699
misbehavior	0.0450339
dismemberment	0.044866
Ingestion	0.0447829
DECADENCE	0.0447568
yoga	0.0445868
sedition	0.0445667
"sexually transmitted disease"	0.0444133
incitement	0.0443794
self-restraint	0.0443147
retribution	0.044313
"bubonic plague"	0.0442994
"drug abuse"	0.0442964
malignancy	0.0442236
cronyism	0.044147
"sexual harassment"	0.044079
jealousy	0.0440248
break-in	0.0438006
nepotism	0.0437469
Buddhism	0.0436615
"armed robbery"	0.0436448
deafness	0.0436187
superstition	0.0436016
"false imprisonment"	0.0435638
"price cutting"	0.0435598
rioting	0.043465
"dog bite"	0.0434025
rollovers	0.043385
drivel	0.0433445
complicity	0.0432712
blather	0.0432305
"moral hazard"	0.0431403
CJD	0.0430289
Beazley	0.0430195
drownings	0.0428744
cross-pollination	0.0428261
cohesiveness	0.0427695
oppression	0.0425901
embezzlement	0.0425693
amnesia	0.0425633
"drug addiction"	0.0424828
"temperature change"	0.0424763
))
(cannister (desc 1210.36) (sims
canister	0.212379
projectile	0.0977167
inhalation	0.0918466
Grenade	0.0913669
cannonball	0.0760093
propellant	0.0754756
sidearm	0.0749392
"grocery bag"	0.0739284
"beam of light"	0.0686496
"water cannon"	0.0681166
insertion	0.067159
"laser beam"	0.0668101
harpoon	0.06471
"tear gas"	0.0642775
armful	0.0630374
Tomahawk	0.0626463
cartridge	0.0593569
"fire hose"	0.0585344
Byrdsong	0.0578162
"ransom money"	0.0574457
isotope	0.0566514
"monkey wrench"	0.0564042
pellet	0.0545657
brassiere	0.0534251
"Molotov cocktail"	0.0532263
Cleaver	0.0524699
"water jug"	0.0519718
inhaler	0.0516281
"space probe"	0.0515069
lampshade	0.0512717
"exhaust system"	0.0510984
two-hitter	0.0508508
"more than @@@ pounds"	0.0507816
fireball	0.0507269
"ballpoint pen"	0.0497234
"hand grenade"	0.0495382
Beretta	0.0493357
"guided missile"	0.0491739
"welfare worker"	0.0490977
"space heater"	0.0489801
"rubber band"	0.0486117
"fishing line"	0.0483791
geyser	0.0481593
"fly rod"	0.0479583
flask	0.0475533
machineguns	0.0466518
"wedding ring"	0.046592
"hypodermic needle"	0.0464383
earpiece	0.0464188
"air-to-air missile"	0.0462376
chalice	0.0461834
headlamp	0.0461608
thruster	0.0461036
stone-throwers	0.0459731
"purchase contract"	0.0459175
howitzer	0.0459072
prosthesis	0.0454384
emitter	0.0453741
Deane	0.0449105
"weather satellite"	0.0448736
carbine	0.0448349
slingshot	0.0448056
"two boxes"	0.0448022
"more than @@@ tons"	0.0445698
enquiry	0.044436
"air-to-surface missile"	0.0443966
"Hail Mary"	0.0442588
"weather map"	0.0442281
"two bags"	0.0442161
"cigarette butt"	0.0440787
"spy satellite"	0.0440622
neurotransmitter	0.0438488
analyzer	0.0437905
Magnum	0.0435468
"knockout punch"	0.0433684
sparkler	0.0432302
"three sections"	0.0431651
"off-speed pitch"	0.0430621
Uzi	0.0429122
tongs	0.0427774
"storage tank"	0.0427235
"pipe bomb"	0.0425092
"bowling ball"	0.0424427
"soda can"	0.0423805
lattice	0.04234
Rodionov	0.0421852
dragnet	0.0421787
uptake	0.0421167
"treasure chest"	0.0420494
defibrillator	0.0420306
"slip of paper"	0.041997
"fire extinguisher"	0.0419749
ordnance	0.0419704
nameplate	0.0418884
musket	0.0416263
"pie crust"	0.0416139
porthole	0.0415003
Scud	0.0414893
"spoken word"	0.0413689
"square inch"	0.0412632
"three words"	0.0412021
hairstylist	0.0409568
"petrol bomb"	0.0409067
satchel	0.0408213
"mind's eye"	0.0408197
bazooka	0.0406483
"three pitchers"	0.040625
"over @,@@@ tons"	0.0405968
pallor	0.0405708
"meteorological satellite"	0.0405328
mouthful	0.0405258
rube	0.0403562
"skin cell"	0.0402714
Esposito	0.0402366
gerbil	0.0401289
"mixing bowl"	0.0400048
))
(cannon (desc 20250.9) (sims
howitzer	0.181091
artillery	0.170259
"rocket launcher"	0.165488
mortar	0.15938
launcher	0.148024
"machine gun"	0.147609
rifle	0.127793
machine-guns	0.123271
Grenade	0.120467
"automatic rifle"	0.111358
"hand grenade"	0.111283
gun	0.110186
machineguns	0.102251
missile	0.101846
pistol	0.0998177
rocket	0.0996225
"personnel carrier"	0.0975038
bazooka	0.0974038
shotgun	0.0961515
tank	0.0918285
gunship	0.0896067
ammunition	0.0871844
"heavy weapon"	0.0862873
"surface-to-air missile"	0.084346
Shell	0.083999
projectile	0.0831794
"submachine gun"	0.0824237
bomb	0.0783883
torpedo	0.0774116
gunboat	0.0764952
revolver	0.0762787
weapon	0.0750641
slingshot	0.0739243
"explosive device"	0.0732194
"artillery unit"	0.073061
musket	0.0726625
"mortar fire"	0.0725384
helicopter	0.0719458
munition	0.0701142
warhead	0.0697931
weaponry	0.0693259
canister	0.0686585
"tear gas"	0.0685062
bullet	0.0682509
explosive	0.0677217
"water cannon"	0.0663853
"nuclear warhead"	0.0657987
firecracker	0.0650114
"air-to-air missile"	0.0645528
warplanes	0.0640318
warship	0.0635193
"pipe bomb"	0.0632771
"military vehicle"	0.0632534
bomber	0.0632395
"artillery fire"	0.0612958
armor	0.0612824
"land mine"	0.06098
handgun	0.0607501
sniper	0.0603433
silencer	0.0602676
harpoon	0.0596074
gunfire	0.0587122
Projector	0.0581142
radar	0.0579765
laser	0.0574194
"landing craft"	0.0572409
thruster	0.0570758
fighter-bombers	0.0570581
"ballistic missile"	0.0570098
"fighter aircraft"	0.0569208
dynamite	0.056775
Tomahawk	0.0565518
M-@@	0.0564667
battleship	0.0564344
aircraft	0.055579
machete	0.0549129
bunker	0.0548482
AK-@@	0.0547211
"bowling ball"	0.0547173
gunner	0.0545756
cartridge	0.0539585
"sawed-off shotgun"	0.0538158
"guided missile"	0.0535407
submarine	0.0532855
carbine	0.0528681
truck	0.0524893
battery	0.0522612
cylinder	0.0516633
airplane	0.0504475
frigate	0.0503715
Crane	0.0503634
sword	0.0502405
fighter	0.0500319
Robot	0.0498383
destroyer	0.0497779
tanker	0.0497163
jeep	0.0494377
firework	0.0493669
engine	0.049299
"jet engine"	0.0491368
"booster rocket"	0.0484501
"air-to-surface missile"	0.0482774
arrow	0.0481998
flare	0.0481452
detonator	0.0480098
cannonball	0.0478989
vessel	0.047238
"spy satellite"	0.0468653
"patrol boat"	0.0467947
pipe	0.0467393
"gasoline bomb"	0.0466451
shelling	0.0464589
"laser beam"	0.0458884
"car bomb"	0.0456642
parachute	0.0456581
"honor guard"	0.0456317
cache	0.0450193
canon	0.0449915
tugboat	0.0447695
"neutron bomb"	0.0447113
infantry	0.0445707
ordnance	0.0442683
firearm	0.0441374
firebomb	0.0438831
"atomic bomb"	0.0435383
spacecraft	0.0431207
dagger	0.042788
"Molotov cocktail"	0.0427093
detector	0.0426653
munitions	0.0425223
knife	0.0424405
sensor	0.0424016
ax	0.0423729
"fire truck"	0.0420471
generator	0.0420254
"hydrogen bomb"	0.0419471
armament	0.0416889
"water tank"	0.0416568
spear	0.0415286
"container ship"	0.0414322
"communications equipment"	0.0412356
container	0.0411738
"baseball bat"	0.0411525
motor	0.0411126
gunshot	0.0408866
"aircraft carrier"	0.0408218
"booby trap"	0.0405702
telescope	0.0405017
MiG-@@s	0.0404348
bayonet	0.040366
"cluster bomb"	0.0400338
))
(cannonball (desc 1467.7) (sims
projectile	0.106049
fireball	0.0809045
firebomb	0.0803421
"hand grenade"	0.0792665
"Molotov cocktail"	0.0777464
"bowling ball"	0.0764909
cannister	0.0760093
"pedestrian bridge"	0.0732784
firecracker	0.0730045
Tomahawk	0.0730011
flamethrower	0.0725226
"Bengal tiger"	0.0721994
"ping-pong ball"	0.0714125
barbell	0.070088
slingshot	0.0691468
Grenade	0.0687866
minesweeper	0.0687148
"air-to-surface missile"	0.0682552
"ball bearing"	0.0671159
canister	0.0668367
"packing material"	0.065473
"petrol bomb"	0.0648234
Byrdsong	0.0648125
weakling	0.0645474
"embryonic cell"	0.0644016
one-timer	0.0638792
mitochondria	0.0636572
porcupine	0.0628664
"explosive device"	0.0627262
"pipe bomb"	0.0625234
goalpost	0.0601865
pushup	0.0601095
"circulatory system"	0.0596923
striper	0.0591304
"booby trap"	0.0589561
fallibility	0.0587128
photon	0.0586232
"Vitaly Potapenko"	0.0584017
"cluster bomb"	0.0578019
drumstick	0.057349
"space capsule"	0.0572383
"neurological disease"	0.0569069
shrapnel	0.0568494
"Lee Harvey Oswald"	0.0566103
"mortar fire"	0.0564111
"battering ram"	0.056073
"time bomb"	0.0553132
Braugher	0.0552752
wrister	0.0551491
"king salmon"	0.0549334
"hypodermic needle"	0.0543544
boxcar	0.0542547
Canty	0.0539684
"oil slick"	0.0533734
"pop fly"	0.053307
"Passion play"	0.0531153
biplane	0.0523974
"draft dodger"	0.0521565
"powder keg"	0.0516255
Lambright	0.0515626
Casserly	0.0515397
"tennis ball"	0.051501
broadside	0.0512879
"air-to-air missile"	0.0512623
excrement	0.0510822
posterior	0.0504978
moonscape	0.0503287
ordnance	0.0503138
"school boy"	0.0503085
saucer	0.0502608
walleye	0.0497556
"Bora Milutinovic"	0.0494366
bends	0.0493083
"pine cone"	0.0492058
"professional golfer"	0.0491989
harpoon	0.0491723
nitroglycerin	0.049087
Uzi	0.0490502
"Delta @"	0.0487269
sundial	0.0487227
munition	0.0486967
pebble	0.0485301
half-inch	0.0484907
Palazzo	0.0484568
"umbilical cord"	0.0482642
colonist	0.0481821
calisthenics	0.0479012
"Texas ranger"	0.047823
kayaker	0.0477423
habitation	0.0477172
"tree stump"	0.0475499
CPR	0.0475148
salvo	0.0473578
"Paul Westphal"	0.047318
toolbox	0.0471108
northeastward	0.047005
pellet	0.046876
"punching bag"	0.0467062
Brashear	0.0466643
"torture chamber"	0.0465801
clitoris	0.0465006
thruster	0.0464381
"June Jones"	0.0464126
dynamite	0.0464116
"service agency"	0.046402
Nuke	0.0463973
policewoman	0.0463945
"skin cell"	0.0463048
"stamp collector"	0.0461704
"civic duty"	0.0460938
Kovacevic	0.0460917
carbine	0.0460848
Starfish	0.045664
"shipwreck survivor"	0.045651
"vocal cord"	0.0455429
ornithologist	0.0455111
"department employee"	0.0455043
"Douglas MacArthur"	0.0454503
battler	0.0453956
derriere	0.0453894
slapper	0.0453884
"biological clock"	0.0453619
"golf ball"	0.0452744
seashell	0.04527
Beehive	0.0451868
backhander	0.0451246
droplet	0.0450641
"black person"	0.0450559
"Lincoln Town Car"	0.0450427
genomes	0.0449104
femur	0.0448752
Sabonis	0.0448568
"Running Stag"	0.0447468
abattoir	0.0446338
"Mike Hargrove"	0.0445627
"laser beam"	0.0445553
snowflake	0.0445527
Barnum	0.044502
SNPs	0.0444878
"Johnny Oates"	0.04447
"kerosene lamp"	0.044425
"beam of light"	0.0444149
"surface-to-air missile"	0.044325
Matasareanu	0.0442724
lightbulb	0.0442081
"service program"	0.0441641
invective	0.0441206
"jigsaw puzzle"	0.0439782
Emmitt	0.0438599
"racing car"	0.0437596
Whitacre	0.043736
gerbil	0.0436821
"Pope Pius XII"	0.0436515
"screen pass"	0.043594
bruiser	0.0435081
Potapenko	0.0433621
"atomic bomb"	0.0432618
nonentity	0.0430484
tribesman	0.043035
"rubber band"	0.0430264
"Hail Mary"	0.0429912
hyphen	0.0429718
"development organization"	0.0428343
paratroops	0.0427332
"ray of light"	0.0427196
cellmate	0.0426766
carcinogen	0.0426658
Aoki	0.0426568
"petrol station"	0.0425165
"reaction time"	0.0424957
"Creutzfeldt-Jakob Disease"	0.0424035
Furcal	0.042389
"car bomb"	0.0423874
sixth-grader	0.0423057
gumshoe	0.0422677
electron	0.0421597
"army tank"	0.0421296
warhorse	0.0421259
striptease	0.0419979
Centipede	0.0419415
zinger	0.0419307
"electric current"	0.0418876
"heart valve"	0.0418446
"nuclear physics"	0.0418187
pinata	0.0418151
Stardust	0.0417098
"wedding party"	0.0416658
"puppet show"	0.041633
dispenser	0.0416248
Lett	0.0415834
Berra	0.0415821
millimeter	0.0415703
offal	0.0415189
holidaymaker	0.0414937
forefinger	0.0414823
"Christopher Columbus"	0.0414445
gasket	0.0414304
Buzek	0.0413906
hummingbird	0.0413755
Meteor	0.0413455
))
(canoe (desc 16465.3) (sims
kayak	0.190318
rowboat	0.174842
boat	0.138684
motorboat	0.126706
dinghy	0.121602
raft	0.117512
powerboat	0.115525
sailboat	0.112948
"small boat"	0.097239
"mountain bike"	0.0892529
sled	0.0881577
bike	0.0864783
barge	0.0852241
speedboat	0.083736
yacht	0.083358
schooner	0.0829943
trawler	0.0822031
"fishing boat"	0.0808675
snowshoes	0.0802167
skiff	0.0799694
ferry	0.0794227
vessel	0.0787867
bicycle	0.0782758
lifeboat	0.0768498
craft	0.0737867
sloop	0.0735518
"sailing ship"	0.0729317
"pleasure boat"	0.0724368
cart	0.0711308
catamaran	0.0705639
watercraft	0.0698807
outrigger	0.068922
truck	0.0687753
ski	0.0686649
snowboard	0.0664848
trailer	0.0646804
jeep	0.0646702
"cargo vessel"	0.0646008
trolley	0.0638443
van	0.0636455
"tractor trailer"	0.063378
hovercraft	0.0633151
helicopter	0.0629609
freighter	0.0619236
scooter	0.0618082
"golf cart"	0.0616678
snowmobile	0.0614254
Motorcycle	0.0612232
bus	0.0604243
"cruise ship"	0.0596588
"passenger ship"	0.0593469
gondola	0.0592922
limousine	0.0590974
houseboat	0.0587518
horseback	0.0578899
tanker	0.0574386
riverboat	0.0570407
"shopping cart"	0.0568095
oar	0.0566721
taxi	0.0565485
pontoon	0.0563099
tugboat	0.0560619
"cargo ship"	0.0559403
"hot-air balloon"	0.055937
submarine	0.0558635
lorry	0.0552963
"sailing vessel"	0.0542369
balloon	0.0542177
"school bus"	0.0536709
boating	0.0535774
rickshaw	0.0533611
wagon	0.052931
"patrol boat"	0.0528256
"pickup truck"	0.0526967
RV	0.0525333
airplane	0.0519411
Humvee	0.0513411
cabin	0.0507672
"walking stick"	0.0505076
glider	0.0504528
motorbike	0.0504354
Limo	0.0498855
"cable car"	0.0498525
"oil tanker"	0.0497294
"mobile home"	0.0497247
carriage	0.0490002
tractor	0.0489706
surfboard	0.0487398
jetty	0.0486854
cycling	0.0480915
tricycle	0.0480707
mule	0.0478477
Cruiser	0.0477411
cab	0.0475613
rig	0.0471496
backpack	0.0469354
ocean	0.0469153
rowing	0.0461244
container	0.0460522
"life raft"	0.0456345
"cross country"	0.0455057
"grocery bag"	0.0451263
lean-to	0.0450866
luge	0.0450513
bathtub	0.0447815
steamer	0.0447748
Ambulance	0.0446868
paddle	0.0444924
harpoon	0.0443801
cage	0.0442324
tub	0.0441408
"fishing net"	0.0440614
warship	0.0440105
shack	0.0440079
pond	0.043886
coffin	0.0438379
scull	0.0437763
"lawn mower"	0.0436043
archery	0.0435187
fencing	0.043346
Lighthouse	0.0433083
cylinder	0.0430996
RVs	0.0430558
"cargo container"	0.0430525
bucket	0.043007
lake	0.0430065
tank	0.0428413
rail	0.0427964
"railroad car"	0.0426544
Buggy	0.0426151
"Ford Explorer"	0.0424405
shingle	0.042383
bloop	0.0423802
minibus	0.0421808
whale	0.0421721
Fishermen	0.0421593
"motor vehicle"	0.0420634
wheelchair	0.0420183
"trash can"	0.0418312
"landing craft"	0.0417761
"boat race"	0.0417616
"rock climbing"	0.0416324
pickup	0.0416273
minivan	0.0412667
tunnel	0.0412526
trench	0.0411548
destroyer	0.0410591
chalet	0.0410459
suitcase	0.041003
cave	0.0409583
tube	0.0408949
ravine	0.0407191
battleship	0.04068
triathlon	0.0403424
"white water"	0.0402441
stroller	0.040116
molding	0.0400508
))
(canoeist (desc 1899.87) (sims
hiker	0.162246
kayakers	0.134638
boater	0.124927
snowboarders	0.116973
kayaker	0.115914
picnicker	0.0988925
sightseer	0.0956354
Andrei	0.0955575
beachgoers	0.0950818
bikers	0.0945328
surfer	0.0849174
snowmobilers	0.0841704
genealogist	0.0797683
"mountain climber"	0.0792751
jogger	0.0785031
woodworker	0.0781334
Meligeni	0.0773065
birder	0.0772498
"bird watcher"	0.07606
backpackers	0.0751997
rower	0.0744854
cyclist	0.0695681
angler	0.0695271
skier	0.0693769
camper	0.0682381
motorcyclists	0.0656988
climber	0.0638155
"shot putter"	0.0636332
mushers	0.063532
"world traveler"	0.0622508
skydiver	0.0616911
skateboarder	0.0611626
outdoorsman	0.0581146
parachutist	0.055294
conservationist	0.0551026
gatherer	0.0549627
"eye doctor"	0.0549402
"No. @s"	0.0549053
equestrian	0.0536995
snowboarder	0.053222
"hockey coach"	0.0527683
radiologist	0.0526728
beekeeper	0.0525694
"altar boy"	0.0521674
bullfighter	0.051741
RVs	0.0510358
"Texas Democrats"	0.0506762
outrigger	0.0504407
yachtsman	0.0498629
boarder	0.0488801
"heart surgeon"	0.0483475
trapper	0.047875
"break of serve"	0.0476498
great-grandchildren	0.0472229
passerby	0.0468493
"scuba diver"	0.0466903
"little leaguer"	0.046426
bicyclist	0.045857
"air force officer"	0.0456994
DeVito	0.0456622
lifter	0.0451947
"woman's body"	0.0449323
adventurer	0.0446675
bird-watchers	0.0446291
vaulter	0.044577
"Justin Rose"	0.0443094
weightlifter	0.0442779
Atlantan	0.0435286
"rock climber"	0.0435009
"American Pete Sampras"	0.0429733
Taufik	0.0428106
neurosurgeon	0.0426824
balloonist	0.0426772
"minor-league team"	0.0426057
"house guest"	0.0417744
documentarian	0.0415113
surveyor	0.0412244
"African elephant"	0.0410777
"belly dancer"	0.0408186
"computer programmer"	0.0407099
"pass catcher"	0.040688
"school boy"	0.04052
"volleyball player"	0.0404206
crewmembers	0.0404091
"San Franciscans"	0.0403926
campgrounds	0.0402498
survivalist	0.0401998
))
(canola (desc 3037.19) (sims
"peanut oil"	0.270115
sorghum	0.236434
groundnut	0.210463
rapeseed	0.189786
oilseed	0.174311
sunflower	0.166339
"sesame seed"	0.157746
peanut	0.155833
soybean	0.152073
flax	0.151262
"soya bean"	0.145766
"cider vinegar"	0.144318
sesame	0.14297
cotton	0.141735
"vegetable oil"	0.141614
alfalfa	0.141585
"palm oil"	0.139228
"sugar cane"	0.137141
"wine vinegar"	0.137071
corn	0.135837
wheat	0.13073
barley	0.129716
maize	0.127529
"sugar beet"	0.127353
sugarcane	0.123415
"pumpkin seed"	0.122454
"pine nut"	0.122132
soya	0.12203
cassava	0.118836
cocoa	0.116385
"orange juice"	0.116335
"whipping cream"	0.114927
radish	0.113781
millet	0.113077
"sweet potato"	0.110443
cashew	0.11044
watermelon	0.109732
"soy sauce"	0.10772
"olive oil"	0.107227
coca	0.10706
almond	0.10691
"Worcestershire sauce"	0.106747
cilantro	0.102901
"macadamia nut"	0.102763
onion	0.101831
beet	0.101283
"lime juice"	0.10124
olive	0.100759
"green onion"	0.0997826
mustard	0.0994725
grain	0.0986587
walnut	0.0976208
"cashew nut"	0.0971656
raisin	0.0962687
bean	0.0954197
"cherry tomato"	0.0949829
paddy	0.0947858
"sesame oil"	0.0946355
"chicken stock"	0.0939637
"heavy cream"	0.0933776
"sunflower seed"	0.0925812
horseradish	0.0923151
"maple syrup"	0.0921826
coconut	0.0919273
hemp	0.0912043
pistachio	0.0890985
margarine	0.0890741
vinegar	0.0886445
potato	0.0884526
soy	0.0882731
"brown sugar"	0.0881654
"cooking oil"	0.0877894
shortening	0.087751
lettuce	0.0872528
tomato	0.0871653
parsley	0.0869862
"cane sugar"	0.0866883
"chicken broth"	0.0862649
"skim milk"	0.0861731
Basil	0.0860599
flour	0.0857127
panko	0.0845411
hazelnut	0.0843124
grape	0.0839816
tahini	0.0835425
"opium poppy"	0.0835292
molasses	0.0832134
"Grand Marnier"	0.083048
"evaporated milk"	0.0826651
shallot	0.0820106
Broccoli	0.0819017
tapioca	0.0817953
pea	0.0814399
cornmeal	0.0813675
"white wine"	0.0812072
lard	0.0810297
kernel	0.0809416
"peanut butter"	0.0807436
"lemon juice"	0.0804726
"orange marmalade"	0.0804591
sherry	0.0804322
nut	0.0797649
Garlic	0.0793596
"oil palm"	0.079146
Collard	0.0787234
"Chinese cabbage"	0.0785694
"hot pepper"	0.0780635
buttermilk	0.0778658
"poppy seed"	0.0776513
"pineapple juice"	0.0776421
"black olive"	0.0774993
"food grain"	0.0774321
carrot	0.0773234
"chili sauce"	0.0767834
half-and-half	0.0767548
"powdered milk"	0.0764337
"sour cream"	0.0763151
cucumber	0.0756804
chive	0.0755837
"vanilla extract"	0.0751983
"bean sprout"	0.0750199
Milo	0.0749849
bran	0.0743095
arugula	0.0741785
jute	0.0739648
legume	0.0736097
"beef broth"	0.0728699
pomegranate	0.0726062
"citrus fruit"	0.072402
mushroom	0.0722767
pumpkin	0.0720978
"hoisin sauce"	0.0718745
paprika	0.0716739
"corn syrup"	0.0716079
blueberry	0.0715746
"dairy product"	0.0713347
turpentine	0.0707488
oregano	0.0706048
mayonnaise	0.0705698
"black bean"	0.0705556
litchi	0.0702154
"green bean"	0.0699618
okra	0.0695548
honey	0.0691785
"soybean oil"	0.0688899
"blue cheese"	0.0688533
"curry powder"	0.0688139
pecan	0.0685352
lime	0.0680796
cereal	0.0679614
flavoring	0.0678868
oat	0.0675851
marshmallow	0.0674894
applesauce	0.0672251
"tomato sauce"	0.0670619
"morning glory"	0.0668346
"mustard seed"	0.0667831
vanilla	0.0666054
marigold	0.0662714
buckwheat	0.0659408
pineapple	0.0657762
hay	0.0657074
geranium	0.0654897
anchovy	0.0648054
"tomato paste"	0.0647435
"sweet corn"	0.0645838
banana	0.064349
"red pepper"	0.0640718
"coconut milk"	0.0640416
condensate	0.0639854
"fennel seed"	0.0638459
herb	0.0637359
melon	0.0629713
"celery seed"	0.0624357
"green pepper"	0.0622571
ketchup	0.0620563
cabbage	0.0620497
mint	0.0618977
cranberry	0.0618741
"synthetic fiber"	0.0618376
poppy	0.0614358
celery	0.0614175
"tomato juice"	0.0611893
"fish oil"	0.0607228
currant	0.060453
"coriander seed"	0.0601159
rosemary	0.0596367
citrus	0.0595429
"egg white"	0.0594918
Chili	0.0588664
zinnia	0.0585219
"beef stock"	0.0582756
"cumin seed"	0.0582474
"brown rice"	0.058202
cumin	0.0581806
raspberry	0.0580878
apricot	0.05759
crumb	0.0575311
"sea food"	0.0575116
"coconut oil"	0.057406
))
(canon (desc 14835.3) (sims
Panasonic	0.0993741
Hitachi	0.0935094
Philips	0.0849279
Kodak	0.0816084
Nikon	0.0777798
Toshiba	0.0767501
Fujitsu	0.0766826
Epson	0.0755525
Samsung	0.0747582
Casio	0.0732786
Xerox	0.0728655
NEC	0.0708035
repertory	0.0707769
Hewlett-Packard	0.0695754
HP	0.0683461
Sony	0.0661398
Matsushita	0.06551
Compaq	0.0639814
Sanyo	0.0620485
Motorola	0.0573842
Siemens	0.0564857
IBM	0.0559084
Polaroid	0.0546304
Fuji	0.0539075
repertoire	0.0535121
Pantheon	0.0512658
Ericsson	0.0509763
Intel	0.0505422
"water cannon"	0.0498159
Toyota	0.0494925
idiom	0.0486711
"Hewlett Packard"	0.0479713
Cisco	0.0473696
"Texas Instruments"	0.0456057
genre	0.0451858
tenet	0.0450682
cannon	0.0449915
Anthology	0.0443518
EMC	0.0435975
precept	0.0435961
oeuvre	0.043075
mythology	0.0428581
Nokia	0.0419326
Lexicon	0.0419052
"Sun Microsystems"	0.041892
theology	0.0415954
masterpiece	0.0414182
aesthetic	0.0412544
Dell	0.0411556
oracle	0.0410631
lore	0.0409567
translation	0.0407074
Mitsubishi	0.040685
text	0.0405919
catalog	0.0401819
"Compaq Computer"	0.0400872
))
(canonization (desc 4420.5) (sims
beatification	0.192616
sainthood	0.105401
intercession	0.10444
"feast day"	0.0844808
Demutualization	0.0771439
induction	0.0706327
initiation	0.0651982
legalization	0.0649057
disbarment	0.0648301
burial	0.0636287
dollarization	0.0631782
solstice	0.0628221
"tax change"	0.0589051
"court martial"	0.0578163
naturalization	0.0576653
ordination	0.0543717
annexation	0.0539849
commissioning	0.053065
"asset sale"	0.0520984
eviction	0.0520971
"space walk"	0.0518913
annulment	0.0512922
inclusion	0.0507544
ratification	0.0505795
disinvestment	0.0505305
coronation	0.0503556
veneration	0.0498681
swearing-in	0.0497469
rededication	0.0490687
fides	0.0489419
"wedding ceremony"	0.0480723
"name change"	0.0480556
"Free Trade Area"	0.0474341
deportation	0.0471939
reorganization	0.0471117
exorcism	0.0471024
reappointment	0.0465789
abolition	0.0465591
launching	0.0465263
"Earth Day"	0.0464727
"Veterans Day"	0.0464289
devolution	0.0463033
realignment	0.0462414
handover	0.0459432
accession	0.0458619
reopening	0.0457855
inauguration	0.045712
"Sistine Chapel"	0.0455143
divestiture	0.0451076
reintegration	0.04448
normalization	0.0442742
liquidation	0.0442483
privatisation	0.0440937
reinstatement	0.0440061
reformation	0.0439769
enlargement	0.0439752
scrapping	0.0439635
incorporation	0.0438759
"Lunar New Year"	0.0434454
convening	0.043403
"management change"	0.0433585
nationalization	0.0427635
vestment	0.0426985
enactment	0.0426879
"Marshall Plan"	0.0426703
sentencing	0.042112
unification	0.0421104
floatation	0.0420116
"rate cut"	0.0419463
"policy change"	0.0417231
repentance	0.0416376
unveiling	0.0410993
"fire drill"	0.0410886
renewal	0.0407726
remembrance	0.0405763
student-athlete	0.0405588
forgiveness	0.0404214
jubilee	0.040173
democratization	0.0400838
))
(Canopy (desc 14367.1) (sims
awning	0.112662
tarpaulin	0.100088
curtain	0.0854361
bough	0.0823805
roof	0.0802237
arch	0.0768262
Dome	0.0753367
tree	0.0747041
foliage	0.0730788
clump	0.0706858
ceiling	0.0694432
vegetation	0.0689602
tarp	0.0671165
scaffolding	0.0670886
tent	0.0668705
bark	0.0656023
blanket	0.0649361
layer	0.0648733
walkway	0.0634756
skylight	0.0632621
cloud	0.0626607
umbrella	0.0619695
vine	0.0617803
sheeting	0.0616378
tubing	0.0615199
shutter	0.0613348
undergrowth	0.0611366
shade	0.0610447
mat	0.0609851
slab	0.0607126
armrest	0.0595054
sheet	0.0594963
"water tank"	0.0581267
forest	0.0579325
trellis	0.0568217
overhang	0.0558655
pine	0.0554815
"over @,@@@ hectares"	0.0553892
carpet	0.0553615
netting	0.0550973
facade	0.0550765
girder	0.0549529
staircase	0.0544615
interior	0.0540085
Haze	0.0538428
ribbon	0.0537431
"rain cloud"	0.0533452
cupola	0.0532065
rectangle	0.0531829
tangle	0.0531749
thicket	0.0526932
molding	0.0526893
leaf	0.052432
mural	0.0522782
limb	0.0520488
veil	0.0519718
sculpture	0.0516073
blossom	0.0515672
siding	0.0513764
scrim	0.0512942
paneling	0.0510375
terrace	0.050922
mosaic	0.0506179
Tower	0.0501655
plume	0.0501253
archway	0.0500745
pane	0.0500419
tile	0.0495961
shrub	0.0495109
Crane	0.0488752
lantern	0.0485578
tablecloth	0.0485408
coating	0.0484365
streamer	0.0484315
Stairway	0.048341
coat	0.0480194
carpeting	0.0480156
mask	0.0478173
crucifix	0.0477915
sarcophagus	0.0477911
expanse	0.0477879
"oil slick"	0.0474776
ornament	0.0472642
exterior	0.0470478
"pedestrian bridge"	0.047025
cylinder	0.0469098
underbrush	0.0469014
foam	0.0468065
canvas	0.0467619
casing	0.0465408
truss	0.0464014
plastic	0.0463577
mulch	0.046314
Plexiglas	0.0462562
cage	0.0461903
greenery	0.0461473
patch	0.0461166
cluster	0.0460831
felling	0.0454695
Grove	0.045329
"clock tower"	0.0453075
wreath	0.0451044
"cargo area"	0.0448893
cardboard	0.0448386
pipe	0.0448044
shard	0.0447667
shingle	0.0447584
waterfall	0.0446523
sheath	0.0446355
fabric	0.0445886
pergola	0.0445367
headboard	0.0443858
planter	0.0443318
swatch	0.0441023
partition	0.0440912
furniture	0.0438661
contraption	0.043828
atrium	0.0438126
mesh	0.0438083
deck	0.0437972
swath	0.0436932
ecosystem	0.043674
pavilion	0.0435804
scaffold	0.0435372
tapestry	0.0434279
blade	0.0434085
lean-to	0.0433955
Halo	0.0433574
Hood	0.0432185
wisp	0.0431422
fence	0.0430287
arbor	0.0429933
barricade	0.042936
lattice	0.0428546
lining	0.0427943
"stained-glass window"	0.0427822
vase	0.0427556
covering	0.0426838
chimney	0.0425811
rope	0.042459
statue	0.0422799
"tree branch"	0.0422539
lawn	0.0420607
balcony	0.0420577
sunroof	0.0419779
insulation	0.0419487
patio	0.041793
"stone wall"	0.0417647
fog	0.041701
"video screen"	0.0416625
quilt	0.0416263
birdbath	0.0413046
"more than @@@,@@@ hectares"	0.0411503
nave	0.0410016
pontoon	0.0408158
enclosure	0.0407907
"catalytic converter"	0.0407848
grass	0.0407226
gazebo	0.0406974
cofferdam	0.0406753
trunk	0.0406489
helmet	0.0406466
minaret	0.0406349
belt	0.0406212
sheathing	0.0406159
mast	0.0406069
ramp	0.0404669
berm	0.0404665
"tape measure"	0.0403635
firewall	0.0402191
"trash can"	0.0402159
shaft	0.0401671
steeple	0.0400011
))
(Canseco (desc 5426.08) (sims
"Jose Canseco"	0.212229
"Marvin Benard"	0.169845
Gwynn	0.164404
Rolen	0.164227
Abreu	0.162865
Bordick	0.160303
Dunston	0.15417
"Tim Salmon"	0.15149
Lankford	0.1509
Bagwell	0.149503
Burks	0.148966
Erstad	0.147792
"Bruce Aven"	0.146993
Glaus	0.145345
Renteria	0.145176
Elster	0.144271
Cirillo	0.144014
Vidro	0.143752
Lieberthal	0.143017
Aurilia	0.142312
Lofton	0.14111
Helton	0.140544
Giambi	0.139995
"Bill Mueller"	0.139664
Griffey	0.138406
Cedeno	0.137218
Karros	0.136956
Biggio	0.136881
Fryman	0.136359
Brosius	0.135568
Vaughn	0.135546
Palmeiro	0.135342
"Henry Rodriguez"	0.13532
"Jim Thome"	0.134949
Caminiti	0.134806
Leyritz	0.134518
Segui	0.134185
Castilla	0.133959
"Matt Lawton"	0.133805
Tatis	0.133149
DiSarcina	0.133074
Valentin	0.132971
Alomar	0.132917
"Troy Glaus"	0.132567
"Jeff Bagwell"	0.132273
Daubach	0.13214
Alou	0.132138
Boggs	0.132011
Garciaparra	0.131973
"Eric Karros"	0.131949
Thome	0.131535
Sexson	0.131192
Trammell	0.130966
Higginson	0.130852
"Rafael Palmeiro"	0.130635
"John Vander Wal"	0.129773
Mondesi	0.129606
Sojo	0.129406
Olerud	0.129044
Delgado	0.12884
Alfonzo	0.128828
Brogna	0.127599
Nevin	0.127423
"Fred McGriff"	0.126906
Surhoff	0.12666
Klesko	0.126565
"Ken Griffey Jr."	0.126456
grieve	0.126178
"Frank Thomas"	0.125557
Knoblauch	0.125179
Cordero	0.124967
Ramirez	0.124939
Cabrera	0.124427
Tejada	0.124058
"Tony Batista"	0.123794
Ripken	0.123699
Baerga	0.123503
"Barry Bonds"	0.123077
"Bubba Trammell"	0.122823
"Todd Greene"	0.121869
"Scott Brosius"	0.121781
"Greg Vaughn"	0.121628
"Vinny Castilla"	0.121294
"Danny Bautista"	0.121291
"Shawn Green"	0.12093
Catalanotto	0.120673
"Matt Stairs"	0.12015
"Gary Sheffield"	0.119952
Hollins	0.119922
"Bobby Abreu"	0.119907
"Mark Kotsay"	0.119862
"Brady Anderson"	0.119722
"Robin Ventura"	0.119573
Bragg	0.11932
"Harold Baines"	0.119278
"Jose Guillen"	0.11879
"Juan Gonzalez"	0.118652
"Gerald Williams"	0.118536
Burnitz	0.11846
"Chili Davis"	0.117961
"Tony Gwynn"	0.117752
Piazza	0.1175
"Dante Bichette"	0.117207
Hollandsworth	0.116998
Agbayani	0.116929
Ledee	0.116779
"Cliff Floyd"	0.116724
Batista	0.116607
McGriff	0.116532
Hundley	0.116488
"Damian Miller"	0.116332
"Mark Loretta"	0.116197
"Darin Erstad"	0.116152
"Jason Giambi"	0.115883
"Derrek Lee"	0.11539
"Dean Palmer"	0.115145
Laudrup	0.11489
"Todd Pratt"	0.114558
"Adam Kennedy"	0.114441
"Lance Berkman"	0.114351
"Vladimir Guerrero"	0.113984
McGwire	0.113727
"Jay Buhner"	0.113451
Fullmer	0.113327
Zeile	0.113274
Beltre	0.113004
"Garret Anderson"	0.112617
"Raul Mondesi"	0.112451
"Russ Davis"	0.112278
"John Valentin"	0.112072
"Edgar Martinez"	0.111745
"Bernie Williams"	0.111706
Hatteberg	0.111189
"Kenny Lofton"	0.111118
"Quinton McCracken"	0.110977
"Chipper Jones"	0.110799
"Glenallen Hill"	0.11065
McLemore	0.110589
"John Jaha"	0.110565
Grudzielanek	0.110521
Bichette	0.110345
"Todd Helton"	0.110243
"Jason Kendall"	0.110193
"Richard Hidalgo"	0.110072
Galarraga	0.110047
Offerman	0.109956
"Tino Martinez"	0.109865
"Kevin Young"	0.109532
"Carlos Lee"	0.109425
Womack	0.109336
"Darren Lewis"	0.109333
"Trot Nixon"	0.109131
Varitek	0.108703
Girardi	0.10855
"Will Clark"	0.108533
"Johnny Damon"	0.108407
"Scott Rolen"	0.108338
Boone	0.108167
Bonilla	0.10797
Sosa	0.107952
"Cal Ripken"	0.107914
Saenz	0.107799
Schourek	0.10701
Molina	0.106794
"Rondell White"	0.106734
"Travis Lee"	0.106705
McRae	0.106612
"Phil Nevin"	0.106528
"Jeremy Giambi"	0.106527
"Brian Giles"	0.106475
"Bobby Higginson"	0.106475
"Kevin Stocker"	0.106432
"Richie Sexson"	0.106407
"Luis Alicea"	0.106065
Andreychuk	0.106043
"Dave Martinez"	0.105891
Jeter	0.105888
"Dmitri Young"	0.105829
"Alex Rodriguez"	0.105416
"Joe Girardi"	0.105331
Gilkey	0.105224
"Jim Edmonds"	0.105022
Gant	0.1047
"Jose Valentin"	0.104647
"Derek Jeter"	0.104572
"Ricky Gutierrez"	0.104472
"Brian Jordan"	0.104395
"Bill Spiers"	0.104239
"Eric Owens"	0.104221
"Juan Encarnacion"	0.104176
Ordonez	0.104129
"David Ortiz"	0.104103
"Troy O'Leary"	0.104051
DeShields	0.103853
"Damian Jackson"	0.103851
"Mark Grace"	0.103705
"Devon White"	0.103521
"Jeff Conine"	0.103455
"Paul O'Neill"	0.103378
"Edgardo Alfonzo"	0.103241
"Damon Buford"	0.103012
"Charles Johnson"	0.102988
"Keith Lockhart"	0.102805
"Ellis Burks"	0.102598
Buhner	0.102521
"John Olerud"	0.102487
"Ken Caminiti"	0.102169
Vizcaino	0.10212
"Todd Zeile"	0.102101
"Preston Wilson"	0.10197
"Mike Lieberthal"	0.101804
"Todd Walker"	0.101357
"Jeromy Burnitz"	0.101338
Martinez	0.101284
Spiers	0.101168
Easley	0.101125
Rodriguez	0.100914
Vizquel	0.100898
"Craig Biggio"	0.100423
Guillen	0.1004
"Chris Widger"	0.100299
"Sandy Alomar"	0.100287
"Roberto Alomar"	0.100255
"Randy Velarde"	0.100067
Edmonds	0.100064
"Manny Ramirez"	0.100038
))
(cantaloupe (desc 4987.2) (sims
melon	0.250386
pineapple	0.245918
watermelon	0.215995
cucumber	0.207697
mango	0.196166
papaya	0.194348
avocado	0.192152
eggplant	0.190291
"bell pepper"	0.180389
pear	0.170364
zucchini	0.168476
nectarine	0.166599
grapefruit	0.163621
"red bell pepper"	0.155913
tomato	0.152105
onion	0.149671
peach	0.148199
raspberry	0.147114
"plum tomato"	0.146832
carrot	0.146678
"red onion"	0.145703
turnip	0.144271
"red pepper"	0.141684
celery	0.140992
"green pepper"	0.140918
pumpkin	0.140676
plum	0.138732
lemon	0.138303
"sweet potato"	0.136148
strawberry	0.133463
squash	0.132767
asparagus	0.130178
"green bean"	0.129177
Quince	0.124057
"green onion"	0.12171
blueberry	0.121292
RHUBARB	0.120991
tangerine	0.120327
okra	0.11956
scallion	0.119235
fig	0.1181
spinach	0.116835
cauliflower	0.116003
potato	0.115834
beet	0.115627
plantain	0.114778
banana	0.113758
apricot	0.113327
jalapeno	0.111855
"hard-boiled egg"	0.111282
Garlic	0.110812
cabbage	0.110055
"garlic clove"	0.108525
Orange	0.108471
pepper	0.108249
Cherry	0.107482
"cherry tomato"	0.107285
blackberry	0.106322
leek	0.106174
artichoke	0.105865
radish	0.105563
apple	0.105323
parsnip	0.103512
pea	0.100872
fennel	0.10085
coconut	0.100835
lime	0.100292
"brussels sprout"	0.0979969
lettuce	0.0967187
shallot	0.0950953
"passion fruit"	0.0946962
fruit	0.0942601
grape	0.0935023
"shiitake mushroom"	0.0931069
"winter squash"	0.0929811
watercress	0.0917531
persimmon	0.0911129
prune	0.0906343
"black-eyed pea"	0.0899979
tomatillo	0.0890914
olive	0.0887392
cranberry	0.0882482
mozzarella	0.0881194
pecan	0.0874506
mushroom	0.0872001
raisin	0.0871969
ham	0.0863218
"black olive"	0.0859709
Broccoli	0.0850717
"romaine lettuce"	0.0845981
chiles	0.0834577
chilies	0.0829831
kumquat	0.0828635
bean	0.082852
ginger	0.0827776
Chickpea	0.0825541
Basil	0.0818979
prosciutto	0.0796775
"tomato paste"	0.0792084
almond	0.0791188
"bittersweet chocolate"	0.0789329
rutabaga	0.0782674
vegetable	0.0777596
cilantro	0.0777011
berry	0.0769666
walnut	0.076873
corn	0.0765148
"macadamia nut"	0.0763873
"iceberg lettuce"	0.0755264
pancetta	0.0737742
peanut	0.0737159
mint	0.0735123
shrimp	0.0732584
parsley	0.0727346
yam	0.072401
"dried fruit"	0.0723572
"sugar cane"	0.071473
chive	0.0712292
citrus	0.0710767
pomegranate	0.0708186
gourd	0.0707906
pork	0.0696173
salami	0.0691722
Endive	0.0689148
salad	0.0687814
bacon	0.0687296
chocolate	0.0681786
arugula	0.0678106
calamari	0.0677708
baguette	0.0671875
"cottage cheese"	0.0670997
"chicken breast"	0.0670683
veggie	0.066878
chervil	0.0667754
yogurt	0.0666418
kiwi	0.066426
romaine	0.065762
"chili pepper"	0.0655491
sausage	0.0655033
puree	0.065269
tarragon	0.0649844
macaroni	0.064368
hazelnut	0.0643397
tuna	0.0642334
clove	0.0640755
pickle	0.0640063
brisket	0.0637635
bread	0.0636206
"prickly pear"	0.0635794
lentil	0.0633973
chard	0.0630546
"vanilla ice cream"	0.0622505
cheese	0.0621719
"lime juice"	0.0619826
"lima bean"	0.0614352
Kale	0.061161
"white bean"	0.0605708
"citrus fruit"	0.0605524
vanilla	0.0605437
cassava	0.0604423
"vanilla bean"	0.0603818
chanterelle	0.0602773
thyme	0.0597358
"string bean"	0.0593558
lavender	0.0593284
oregano	0.0590771
anchovy	0.0589092
brioche	0.0588364
"orange juice"	0.0584652
"sesame seed"	0.0583431
vinegar	0.0578912
"corned beef"	0.0578117
"lemon zest"	0.0575952
"peanut butter"	0.05754
"goat cheese"	0.0567625
tofu	0.0565446
mussel	0.0564887
bulgur	0.0564226
pesto	0.0562857
"raw vegetable"	0.0558404
"coconut milk"	0.0556457
fillet	0.0556283
"dinner plate"	0.0555942
"foie gras"	0.0554955
pancake	0.0554395
"bay leaf"	0.055019
sherbet	0.0550067
"orange peel"	0.0549385
florets	0.0548758
"fruit salad"	0.0547931
juice	0.0544872
monkfish	0.0544576
Collard	0.0542452
scallop	0.0537993
"egg yolk"	0.0537548
"bok choy"	0.0537512
"tomato sauce"	0.053618
dill	0.0532873
focaccia	0.0530814
rosemary	0.0528823
))
(cantata (desc 1908.88) (sims
oratorio	0.128485
concerto	0.123918
fugue	0.123368
Aria	0.104366
sonata	0.102026
"string quartet"	0.0850657
double-entendres	0.078703
recitative	0.0784373
"musical score"	0.0760186
Chorale	0.0758225
recital	0.0740862
"Fifth Symphony"	0.0736431
"Symphony No. @"	0.0732452
symphony	0.0729882
ditty	0.0725271
Lullaby	0.0721404
"Star-Spangled Banner"	0.0713261
"Word of God"	0.0708544
sextet	0.0707668
operetta	0.0680532
"space walk"	0.0676283
"Amazing Grace"	0.066037
Encarta	0.063988
"set piece"	0.0638069
spacewalks	0.0633868
Requiem	0.0616038
cappella	0.0614096
"Piano Concerto"	0.0607703
Christmases	0.0599948
"civic duty"	0.059407
haiku	0.0593662
"Christmas carol"	0.0586685
"speeding ticket"	0.0585111
capella	0.0584995
"piece of music"	0.056818
boosterism	0.0557897
Dido	0.0549494
"No. @s"	0.0547382
roaster	0.0536913
playlist	0.0532808
hymn	0.0529845
"wedding party"	0.0524089
quartet	0.051889
warhorse	0.0518251
"Balkan Wars"	0.0517197
outperformance	0.0512828
self-portraits	0.051127
waltz	0.0510908
"Wild Party"	0.0510097
"folk song"	0.051002
cello	0.0509189
"national anthem"	0.0507036
"theme song"	0.0504844
transcription	0.0504469
orchestration	0.0503694
"chamber music"	0.0502587
"Peony Pavilion"	0.0500094
screed	0.0499254
Rhapsody	0.0496651
skit	0.0495077
Calla	0.0491078
muttering	0.0488667
"Sweeney Todd"	0.0486778
enema	0.0486068
Lucia	0.048548
three-pointers	0.0483514
Fantasia	0.0481187
come-on	0.0479733
"swing music"	0.0478139
jingle	0.0477738
voice-overs	0.047529
"period piece"	0.047518
masterwork	0.0467161
"service break"	0.0465816
Ode	0.0465584
sonnet	0.0465385
Aida	0.0460456
Masterworks	0.0458576
soliloquy	0.04577
clarinetist	0.0455803
Nutcracker	0.0455539
"point system"	0.0454237
"house party"	0.0453638
"military drill"	0.0450307
Isolde	0.0450045
Carol	0.0448449
postmortem	0.0448294
"theatrical production"	0.0447048
self-examination	0.0446373
clarinet	0.0443941
blackbird	0.0443472
Verdi	0.0442893
zodiac	0.0442564
ringing	0.0442106
benediction	0.0442016
depicting	0.0441949
"a few lines"	0.0439673
third-graders	0.0438285
Harbison	0.0437787
"old lady"	0.0437632
LP	0.0435755
"margin call"	0.0435747
repertoire	0.0435307
McGraw-Hill	0.043509
"stock company"	0.0434149
violin	0.0432068
polity	0.0431008
gibberish	0.0430535
"Happy Birthday"	0.0429816
classicism	0.042977
"big leaguer"	0.0428791
misjudgments	0.0427747
Ellington	0.0426768
Mahler	0.042609
"Dirty Bird"	0.0425928
liturgy	0.0423982
stanza	0.0423863
striptease	0.0423767
trombone	0.0423267
monograph	0.0420996
Puccini	0.0420261
Mockingbird	0.0418625
calypso	0.0417675
coda	0.0416726
"chorus line"	0.0416526
"educational activity"	0.0415418
psalm	0.0414498
patois	0.0413764
menorah	0.0413037
byte	0.0411797
Kroll	0.0409977
"robbery suspect"	0.0409627
supermodels	0.0408693
chaise	0.0407255
improvisation	0.0406387
C-section	0.0405165
dirge	0.0404107
"documentary film"	0.0403761
"Revised Version"	0.0403259
humanist	0.040302
solstice	0.0402418
potboiler	0.0401857
Susanna	0.0401019
))
(canteen (desc 4184.68) (sims
cafeteria	0.0988382
"dining area"	0.0868096
dispensary	0.0854332
"mess hall"	0.079166
"tea house"	0.07463
"dining room"	0.0745295
tavern	0.069453
gymnasiums	0.0673512
"gift shop"	0.0654677
infirmary	0.0646122
lounge	0.063857
"food shop"	0.0628037
"coffee shop"	0.0622433
"boarding house"	0.0609971
nursery	0.0599239
"post office"	0.0595286
bookshop	0.0592721
"movie house"	0.0591097
laundry	0.05832
"clothing store"	0.0571713
gymnasium	0.0570086
"recreational facility"	0.0568165
cellmate	0.0566917
"dance hall"	0.0563827
pub	0.0562452
"hardware store"	0.0561647
bakery	0.0557218
"butcher shop"	0.0556403
"reception room"	0.0554833
"waiting room"	0.0548542
"beauty shop"	0.0547829
"bowling alley"	0.054594
"convenience store"	0.0544508
lunchroom	0.0543221
saloon	0.0542034
teahouse	0.0538722
"chain store"	0.0538693
commissary	0.0534111
alcove	0.0532949
delicatessen	0.052968
Pharmacy	0.0520273
"blood bank"	0.0518186
latrine	0.0516996
flask	0.0516884
shanty	0.0516845
"dry cleaner"	0.0516322
"residence hall"	0.0515246
bistro	0.0514336
mortuary	0.0513377
"endowment fund"	0.0502771
eateries	0.0499088
dormitory	0.049654
"art gallery"	0.049456
"sitting room"	0.0491493
"medical center"	0.0490016
"conference room"	0.048868
cot	0.0485646
"training school"	0.047939
morgue	0.0479176
"ticket office"	0.0471175
vending	0.047111
drugstore	0.0470892
"retail store"	0.0470703
"community center"	0.0465337
overcoat	0.0464644
"fire station"	0.0464252
"gas station"	0.0464081
shack	0.0463859
"service station"	0.0462593
"liquor store"	0.0462593
"bed sheet"	0.0457381
"house of worship"	0.0457246
forklift	0.045559
"recreation room"	0.0455469
"employment agency"	0.0453385
"reading room"	0.0453002
"movie theater"	0.0452016
grocery	0.0451713
"water tank"	0.0451636
pail	0.0451232
"dance floor"	0.0450721
"office building"	0.045003
"police station"	0.0447683
"machine shop"	0.0447253
gazebo	0.044665
deli	0.0446625
"day care center"	0.0445949
showroom	0.044553
bulkhead	0.0442797
catering	0.0440942
"soup kitchen"	0.0439671
semitrailer	0.0439317
"place of worship"	0.0437232
hypermarket	0.0437025
parlor	0.0436886
"field hospital"	0.0436776
"family room"	0.043597
"storage area"	0.043292
storeroom	0.0432331
nook	0.0432126
"water bottle"	0.043181
birdhouse	0.0430259
boutique	0.0430109
"front room"	0.0428646
kettle	0.0424875
chalet	0.0422065
"shopping center"	0.0421459
"picnic area"	0.0421116
"grocery store"	0.0420662
spas	0.0420366
"exhibition hall"	0.0420107
kiosk	0.0419973
stalls	0.0419485
hostel	0.0418434
semicircle	0.0418212
"basketball court"	0.0417054
"entertainment center"	0.0416963
"botanical garden"	0.0414639
silo	0.0414395
"display case"	0.0414381
cupboard	0.0414016
Jetta	0.0413868
"general store"	0.0413752
coffeehouse	0.0412944
"athletic facility"	0.0410784
ration	0.040932
hospice	0.0407848
"vending machine"	0.0407024
"discount store"	0.0406803
"paper cup"	0.0406012
"dorm room"	0.0405191
"travel agency"	0.0404901
sawmill	0.0404317
"recording studio"	0.0402993
earplugs	0.0400271
))
(Canterbury (desc 2787.51) (sims
Peterborough	0.113064
Springbok	0.100152
Hampshire	0.0909432
Blackpool	0.08971
"Martin Lee"	0.0861288
"Croatia Zagreb"	0.0817027
Nottingham	0.0808691
Nicol	0.0792037
Susanti	0.0787745
Exeter	0.0777785
"Newcastle United"	0.0763708
Crewe	0.0759838
"West Ham United"	0.0757411
"Red Star"	0.0756856
Portsmouth	0.0755705
"Paul Johnson"	0.0748923
Stansted	0.0743895
Chester	0.0734238
Walpole	0.0704261
"Real Betis"	0.0703543
Spartak	0.0703451
Krakow	0.0699469
PSG	0.0697182
"Albert Portas"	0.0694924
"Guangdong Hongyuan"	0.0690845
"Qingdao Hainiu"	0.0688696
"Miami Fusion"	0.0676482
"Law Lords"	0.0674856
"Dallas Burn"	0.0674273
"Los Angeles Galaxy"	0.0674242
"VfB Stuttgart"	0.0651859
Leicester	0.0650805
Obilic	0.0644998
Wolfsburg	0.063989
"Karim Alami"	0.0633561
"Phenix City"	0.0631983
"Leeds United"	0.0630128
"Neville Godwin"	0.0629405
Bamako	0.0628139
"Chinese Army"	0.0625491
PAOK	0.0625355
Gremio	0.0623116
"Briton Greg Rusedski"	0.0621248
"Sarah Pitkowski"	0.0617655
"Arnaud Di Pasquale"	0.0615797
Yorkshire	0.061562
"Andrei Pavel"	0.0613146
Eastbourne	0.0606067
SEABROOK	0.0604475
Rosenborg	0.0604335
Deportivo	0.0600781
Surrey	0.0591727
"Paris St Germain"	0.0591384
"Adrian Voinea"	0.0590591
"Partizan Belgrade"	0.0589284
"Velez Sarsfield"	0.0588709
"San Jose State"	0.0587679
Florence	0.0586758
"Olympiakos Piraeus"	0.058517
"Younes El Aynaoui"	0.0583775
"Sergi Bruguera"	0.0582057
"Andrew Ilie"	0.0578857
"Tatiana Panova"	0.0577182
"Vincent Spadea"	0.0575595
"Arnaud Clement"	0.0572869
"Franco Squillari"	0.0572018
"Asa Carlsson"	0.0569654
Claremont	0.0569629
Northampton	0.0569407
"Kinder Bologna"	0.0568942
Cornish	0.0568018
Schalke	0.0567981
"Slavia Prague"	0.0567266
"Sheikh Ahmed Yassin"	0.0563187
"Aston Villa"	0.0563024
Palmeiras	0.0562119
"Marcelo Filippini"	0.0560856
"Tara Snyder"	0.0559377
"Mariano Puerta"	0.055798
Barnsley	0.0557618
"Carlos Costa"	0.0557481
"Wang Chen"	0.0556739
Cheshire	0.0554035
Coventry	0.0547353
"Renzo Furlan"	0.0546471
"Southern Mississippi"	0.0546221
"Jerome Golmard"	0.0545215
"Xavier Malisse"	0.0543376
Turin	0.0542581
"Nathalie Dechy"	0.0541943
"Deep Blue"	0.0541438
"Judith Wiesner"	0.0538476
"Yayuk Basuki"	0.0537356
"Jonathan Stark"	0.0535214
"Real Sociedad"	0.0535124
"Silvia Farina"	0.0534967
"AC Parma"	0.0533981
BRIGHTON	0.0530864
"Olympique Marseille"	0.0524729
Edberg	0.0524677
"Dalian Wanda"	0.0522049
Dortmund	0.0521706
Bari	0.0521549
Fenerbahce	0.0521344
"Li Fang"	0.0520912
"Athletic Bilbao"	0.0520425
Heerenveen	0.0519607
"West Indies"	0.0519496
Berasategui	0.0519166
Lindland	0.0512698
"Christian Ruud"	0.051094
"Guillaume Raoux"	0.0509721
Hofstra	0.0508757
"Coventry City"	0.0508087
"Jinan Taishan"	0.0507864
Kashima	0.0507848
"Andreas Vinciguerra"	0.0506134
Wilton	0.050579
"Magdalena Maleeva"	0.0505174
Merida	0.0504565
"AEK Athens"	0.0503739
"Crystal Palace"	0.0502183
"Spartak Moscow"	0.0499221
"Atletico Madrid"	0.0499062
"Xia Xuanze"	0.0498517
Auxerre	0.0497223
Constantinople	0.0496224
"Arkansas State"	0.0495899
"Richard Fromberg"	0.049513
"Greg Rusedski"	0.0495053
Westminster	0.0494766
"Els Callens"	0.0491761
"Arnaud Boetsch"	0.0491623
"Australian Mark Philippoussis"	0.0491557
Assisi	0.0489924
AEK	0.0488934
"Galo Blanco"	0.048713
"Peter Rasmussen"	0.0486117
"American Michael Chang"	0.0484921
Atalanta	0.0484902
"Ong Ewe Hock"	0.0484193
Zamalek	0.0482505
Keene	0.048201
"Crimson Tide"	0.0480419
"Western Samoa"	0.0480089
Strasbourg	0.0478907
"Shanghai Shenhua"	0.0478351
Norwich	0.0475734
"Boca Juniors"	0.0475438
"Seibu Lions"	0.0475151
Queensland	0.047313
Schalken	0.047214
"Magnus Gustafsson"	0.0471618
Newcastle	0.0470909
Devon	0.0470456
"Utah State"	0.0470385
"Jeff Tarango"	0.0469742
Decani	0.0468811
"Sabine Appelmans"	0.0468657
RSA	0.0468655
"Bafana Bafana"	0.0468001
"Brett Steven"	0.0467418
"Alberto Berasategui"	0.0466836
"Fabrice Santoro"	0.0465854
gamecock	0.046503
"Francisco Clavet"	0.046453
Winchester	0.0464134
DePaul	0.0464106
"Olga Barabanschikova"	0.0463465
"Colo Colo"	0.0463245
"Del Harris"	0.0463095
"Kimiko Date"	0.0463028
"Juan Antonio Marin"	0.046245
Bartholomew	0.0461942
"Guy Forget"	0.0460991
"Dynamo Kiev"	0.0460641
"Holy Cross"	0.0460129
"Kristie Boogert"	0.0460088
"Chicago Blackhawks"	0.0458809
Atletico	0.0458529
"Shanghai Sharks"	0.0457816
"Sebastien Lareau"	0.0456797
Evansville	0.0456046
"Mariano Zabaleta"	0.0455456
Sussex	0.0455176
"Los Angeles Sparks"	0.045399
Salernitana	0.0453139
"Marcos Ondruska"	0.0452632
"Sebastien Grosjean"	0.0452164
"Javier Sanchez"	0.0451653
Rais	0.0451022
Karlsson	0.045056
Bastia	0.0449104
"Tamarine Tanasugarn"	0.0448786
Loudon	0.0447878
"MaliVai Washington"	0.0447581
"Red Wings"	0.0446196
Bradford	0.0445982
"Corina Morariu"	0.0445463
croquet	0.0445319
))
(canton (desc 9369.19) (sims
Cooperstown	0.13818
Akron	0.122946
Middletown	0.105717
LAKEWOOD	0.103891
Springfield	0.100236
Holyoke	0.0995901
Wilmington	0.0994819
"New Rochelle"	0.0991057
"Saratoga Springs"	0.0957666
Chappaqua	0.0936207
Youngstown	0.0935378
Hillsboro	0.092819
Lexington	0.0905277
Kettering	0.0891946
Braintree	0.0891694
Framingham	0.0891046
Chatham	0.0883134
Portsmouth	0.0867403
Cambridge	0.0860807
Northampton	0.0859449
Uniondale	0.0858595
"Garden City"	0.0851369
Needham	0.0850076
Waltham	0.0845815
Xenia	0.0827625
Medford	0.0824317
Brookline	0.0823508
Somerville	0.082321
Amherst	0.0815926
"White Plains"	0.0815389
Elmira	0.081129
Englewood	0.0810589
Pasadena	0.0798818
Troy	0.0789639
Dayton	0.0789094
Worcester	0.0788484
Morristown	0.0785235
Greenville	0.0785138
Montclair	0.0779268
"Des Moines"	0.0772641
Boise	0.0768296
Bedford	0.075821
Woburn	0.0755964
Falmouth	0.0755867
"St. Petersburg"	0.0755118
Peekskill	0.0746902
Tampa	0.0738138
Honolulu	0.0729097
Concord	0.0724978
"East Hampton"	0.0721635
"East Orange"	0.0720336
Mansfield	0.0718383
Arlington	0.0715426
Milwaukee	0.0712449
"Mount Vernon"	0.0710979
Bridgewater	0.0710599
"Palo Alto"	0.0709512
midland	0.0707798
"Cherry Hill"	0.0707623
"Woodland Hills"	0.070729
Fresno	0.0706721
Williamsport	0.0706546
Austin	0.0704681
Plano	0.0704065
Columbus	0.0703229
Newton	0.0701118
Fairfield	0.0697864
Tempe	0.0696814
Scarsdale	0.0695903
Alexandria	0.0693972
"Round Rock"	0.0686643
"South Bend"	0.0685494
Watertown	0.0683633
"Fort Lee"	0.0683506
Maynard	0.0683448
"East Rutherford"	0.068289
"Long Beach"	0.0682122
Dublin	0.0681956
Raleigh	0.0680728
Knoxville	0.0677234
Bloomfield	0.0672856
Stamford	0.0672542
"New Orleans"	0.0672082
Wichita	0.0671398
Westfield	0.0670845
Jamestown	0.0669242
Tarrytown	0.0669104
Dover	0.0667495
Port-au-Prince	0.0667074
Wellesley	0.0664707
Minneapolis	0.0661542
Greenwich	0.0660935
Brockton	0.066053
Lubbock	0.0659163
Tbilisi	0.0658348
"Overland Park"	0.0656318
"Highland Park"	0.0654451
Albany	0.065253
"Chapel Hill"	0.0649349
Utica	0.0646956
Baltimore	0.0645497
Philadelphia	0.0642954
Cincinnati	0.0641306
Denver	0.0640106
Naperville	0.0639165
Nashville	0.0638105
Milford	0.0636771
Charleston	0.0635843
Burlington	0.0635794
bethel	0.0634909
Sunnyvale	0.0633692
Stockbridge	0.063232
"West Palm Beach"	0.0632239
Richmond	0.0630683
"Ann Arbor"	0.0627602
Detroit	0.0625501
Williamstown	0.0624364
"Union City"	0.0623893
"Baton Rouge"	0.0623634
Madison	0.0622903
Tucson	0.0621628
Winnipeg	0.0619509
Savannah	0.0616201
Macon	0.061575
Newark	0.0615315
"San Jose"	0.0614136
Berkeley	0.0613966
Dallas	0.061392
Toledo	0.0610864
Saginaw	0.0610831
Toronto	0.0610252
"Jersey City"	0.0609885
Cleveland	0.0609746
"Oklahoma City"	0.06096
riverside	0.0609211
TRENTON	0.0609195
Poughkeepsie	0.0608634
"New Canaan"	0.0607033
Encino	0.0605945
Farmington	0.0605837
Manchester	0.0605648
Newport	0.0603424
Malden	0.0603346
Decatur	0.0600736
Hialeah	0.060057
Dearborn	0.0599581
Winston-Salem	0.0599486
Jacksonville	0.0598703
"Miami Beach"	0.0598206
"East St. Louis"	0.0596753
"St. Louis"	0.0596735
Astoria	0.0596315
Lansing	0.0595548
Bethesda	0.0595164
Hartford	0.0592701
Chattanooga	0.0591716
"Silver Spring"	0.0591525
"Warren County"	0.0591081
Brooklyn	0.0589408
BRIGHTON	0.0587886
"Hyde Park"	0.0587827
Andover	0.0587797
Buffalo	0.0587746
Hopkinton	0.0585701
Carrollton	0.0585211
"Fort Lauderdale"	0.0584813
Providence	0.0584332
Acton	0.0584087
Marietta	0.058252
"Mexico City"	0.0580597
"Simi Valley"	0.0578399
Phoenix	0.0577221
"Daytona Beach"	0.0577143
"Sao Paulo"	0.0576934
Birmingham	0.0576177
Pittsburgh	0.0575855
"San Diego"	0.0575592
Lenox	0.0575014
"Culver City"	0.0574532
Montreal	0.0574244
Salem	0.0573332
"San Antonio"	0.0572933
Kingston	0.0572869
"Crystal City"	0.0572662
"Cobb County"	0.0572585
Bloomington	0.057226
"St. Paul"	0.0572196
Dundalk	0.0571381
Quincy	0.0570687
"Mountain View"	0.0569758
Claremont	0.056829
anchorage	0.0567894
Carmel	0.0567737
"Santa Monica"	0.0566588
Groton	0.0566329
"Grand Rapids"	0.0561326
"Great Neck"	0.0561169
"Gaza City"	0.0560396
Fremont	0.0560016
Orlando	0.0559944
))
(Cantonese (desc 3848.86) (sims
Swahili	0.25595
Hindi	0.229899
Putonghua	0.184169
Mandarin	0.183167
Arabic	0.169393
Bengali	0.164526
Kiswahili	0.163971
Urdu	0.142272
Creole	0.141871
Spanish	0.141794
Afrikaans	0.137169
Hebrew	0.130185
Tibetan	0.128896
dialect	0.128606
Farsi	0.124127
Yiddish	0.114208
Tex-Mex	0.112954
Korean	0.110727
Gaelic	0.107207
Portuguese	0.102944
Latin	0.098846
Mongolian	0.0920369
Catalan	0.0917199
"sign language"	0.0893542
"Middle Eastern"	0.0871107
Sinhala	0.0816372
Malay	0.0806736
Zulu	0.0802976
Hawaiian	0.0715091
Manchu	0.0704692
spoken	0.0684546
Aramaic	0.0682263
Welsh	0.0682139
Provencal	0.0674139
haute	0.0671094
Swedish	0.066144
civics	0.0654228
gourmet	0.0645595
vegetarian	0.0641339
Americanized	0.0630199
Jamaican	0.0622324
Latvian	0.0611755
Laotian	0.0606048
Sanskrit	0.0596217
Shaoxing	0.0592456
"German language"	0.0591356
Nepalese	0.0587814
Armenian	0.0587375
Italian-American	0.0587359
algebra	0.0572148
late-'@@s	0.0561093
Cajun	0.0560547
"North African"	0.0544853
Kurdish	0.0543105
Javanese	0.0542983
Hungarian	0.0540825
"comparative literature"	0.0535256
"computer operation"	0.0525976
shorthand	0.0509765
Wagnerian	0.0499185
nouveau	0.0470441
"Eastern European"	0.0469157
patois	0.0468848
Finnish	0.0464346
"English language"	0.0458367
bistro	0.0454862
HTML	0.0451599
"martial art"	0.0443479
"this @@@@"	0.0441111
encirclement	0.044027
flamenco	0.0436085
kiddie	0.0432582
"Western European"	0.0431535
Breton	0.0429298
"mess hall"	0.0418468
Uygur	0.041018
Asian-American	0.0409909
Danish	0.0406455
BASQUE	0.0405577
raunchy	0.0405041
Germanic	0.0403495
Icelandic	0.0403278
))
(cantons (desc 1641.38) (sims
Quebecers	0.0774948
great-grandchildren	0.0755764
crewmembers	0.07544
B-@s	0.0704842
"African Union"	0.0698214
Mabetex	0.0692039
"trade area"	0.064891
Chinese-Indonesians	0.0582294
"international criminal court"	0.0580692
innings.	0.0578279
registrant	0.0575873
"Pro Bowls"	0.057522
"All-Star Games"	0.0572627
"city block"	0.0568661
quarterfinalists	0.0566998
"Labor office"	0.0563944
"parcel of land"	0.0563732
Stealers	0.0554451
catechism	0.0549242
"supporting players"	0.0541945
postseasons	0.0541925
tractor-trailers	0.0537361
starts.	0.0534903
"Ethics Commission"	0.053282
chalet	0.0532641
Ponte	0.0520641
"break of serve"	0.0518201
megaplexes	0.051419
"Export Processing Zones"	0.0513975
par-@s	0.0512299
Caritas	0.0512184
governorship	0.0510208
officeholder	0.0510155
"insurance firm"	0.0503503
baserunners	0.0502866
"federal department"	0.0499861
"Everglades National Park"	0.0497139
"Canadian province"	0.0497077
takeaways	0.0496482
judgeship	0.0495839
"major-league team"	0.0491633
"Final Fours"	0.0490691
Bern	0.0489155
"African Economic Community"	0.048168
"House Republicans"	0.0478247
homepages	0.0476974
MiG-@@s	0.0476655
"British people"	0.0475336
"Occupational Safety and Health Administration"	0.0473243
"educational institution"	0.0472355
sub-projects	0.047146
guardsmen	0.0470803
QBs	0.0469188
mushers	0.0468962
"Kresimir Zubak"	0.0468388
SEZs	0.0468299
Klansmen	0.0467313
headliners	0.0466215
All-Americans	0.0462374
Putumayo	0.0461592
"seeded player"	0.0461059
drownings	0.0458314
rebounders	0.0456281
knucklehead	0.0455687
years.	0.0452109
"No. @s"	0.045027
Consulate-General	0.0449204
"Consumer Product Safety Commission"	0.0447127
"Hollywood studio"	0.0445883
"surgical procedure"	0.0441225
"enforcement division"	0.0438949
"Drug Enforcement Administration"	0.0438809
"futures exchange"	0.0437826
runnings	0.0435893
zodiac	0.0435686
"school girl"	0.043273
"bus route"	0.0431912
A@@@s	0.042942
"Human Rights Commission"	0.0428799
"pumping station"	0.0427706
"Quintana Roo"	0.0427688
firsts	0.0427414
"financial organization"	0.0426447
"Free Trade Area"	0.0426252
Industries	0.0425259
lawmen	0.0424169
pronoun	0.0421597
"benefit program"	0.0419965
notary	0.0419419
"Stone Cold Steve Austin"	0.0418423
no-decisions	0.0418395
sidebars	0.0414036
member-states	0.0411468
"Texas Democrats"	0.0410827
midshipmen	0.0406178
FTAA	0.0406113
standouts	0.0406046
governorates	0.0405558
"bullet hole"	0.0404635
"combat mission"	0.0404453
AEC	0.0404373
Dutchmen	0.0401743
Emmys	0.0400846
joint-ventures	0.0400008
))
(cantor (desc 2977.77) (sims
"A.P Indy"	0.09913
newspaperman	0.0871533
Cline	0.0828483
rabbi	0.0821873
seamstress	0.0786765
"naval officer"	0.0778477
Menchu	0.0767184
Imam	0.0760232
"math teacher"	0.0756464
sharecropper	0.0750095
"electrical engineer"	0.0733441
"rich man"	0.0731556
Marchand	0.0720715
Mucha	0.0708436
"registered nurse"	0.0706772
vaulter	0.0684155
"foreign service officer"	0.0667218
Henning	0.0666311
O'Sullivan	0.0660165
Midler	0.065939
Seligman	0.0656974
"coal miner"	0.0654578
Jeffers	0.0654004
"English professor"	0.0651252
chaplain	0.0651181
McDonnell	0.0650206
newscaster	0.0647725
"civil engineer"	0.0644761
Segal	0.0642223
pressman	0.0640617
prizefighter	0.0638755
"English teacher"	0.0638084
Chenoweth	0.0637891
Upshaw	0.0634438
Greenwald	0.0631324
"professional golfer"	0.0624802
janitor	0.0616966
"mechanical engineer"	0.0616903
Fiorina	0.0610541
Atkinson	0.0608851
preacher	0.0604722
Hamlin	0.0603229
"test pilot"	0.0602915
Orton	0.0602231
electrician	0.0599156
"traveling salesman"	0.059837
"farm worker"	0.0597857
mailman	0.059506
neurosurgeon	0.0592564
Swenson	0.0587688
pastor	0.0584157
"factory worker"	0.0581703
sportswriter	0.05815
psychotherapist	0.0581078
Nilsson	0.0578078
"Di Canio"	0.0575385
Lowry	0.0573591
homemaker	0.0571506
Krall	0.0571128
"school teacher"	0.0566551
Farrell	0.0565522
orator	0.0564581
Rosenberg	0.0564146
Meissner	0.0563399
Phelps	0.0562874
fisherman	0.0560576
"hockey coach"	0.0560054
Briscoe	0.0559471
abbot	0.0556583
Albrecht	0.0555146
horticulturist	0.0553228
Bushnell	0.0551846
Arron	0.0550406
"Emperor Akihito"	0.0548956
dentist	0.0546396
Cleary	0.0546059
mystic	0.0545861
"Billy Graham"	0.0545638
Kurth	0.0545565
Berenson	0.0545267
clergyman	0.0543947
Bisek	0.0542645
butcher	0.054258
Trevi	0.0541029
Deacon	0.0540973
"Juan Miguel"	0.0540649
worshiper	0.0540446
obstetrician	0.0540165
gynecologist	0.0539129
Whitacre	0.0539078
watchman	0.0538813
bricklayer	0.0538631
Schmid	0.0538074
schoolteacher	0.053773
Pierson	0.0537469
actuary	0.0537292
Dion	0.0536108
Kirkpatrick	0.0536012
Ayatollah	0.0535827
krueger	0.0535337
Zuckerman	0.0534138
"aerospace engineer"	0.0533964
naturalist	0.0533382
Rosenthal	0.0531185
"chairman emeritus"	0.0531171
geographer	0.0530982
Litigator	0.0530309
"volleyball player"	0.0529966
Bragg	0.0529899
plumber	0.0529744
Batouty	0.0527527
"belly dancer"	0.0525948
Erin	0.0525702
copywriter	0.0525552
Ricart	0.0524337
victimhood	0.052246
lifer	0.0522292
Scruggs	0.0521618
Sorensen	0.0521557
urologist	0.0518501
Abraham	0.0517801
"folk singer"	0.0517445
pharmacist	0.0516136
stockbroker	0.0515592
Mei	0.0514634
animator	0.0514417
trumpeter	0.0513478
radiologist	0.0513234
Gannon	0.0511972
"disk jockey"	0.0511544
Jaffe	0.0510447
"musical group"	0.0510395
O'Hara	0.0510093
"air force officer"	0.0509491
Baer	0.0509343
"civil rights leader"	0.0508381
Penders	0.0508358
Molinari	0.0507371
"Shao Yunhuan"	0.0506947
Huffington	0.0506137
firefighter	0.0504992
"faculty member"	0.0504839
"social worker"	0.0504503
grocer	0.0503561
carpenter	0.0502523
farmworkers	0.05011
Simone	0.05005
Madden	0.0500082
GPU	0.0499558
"Seattle Slew"	0.049914
Feldman	0.0498848
Lockwood	0.0497762
"baseball coach"	0.0497495
Oates	0.0496879
Pape	0.0496053
"black person"	0.0495604
Garvey	0.0494625
Seltzer	0.0494545
groupie	0.0494117
Schmitz	0.0494086
Brennan	0.049363
Nasrin	0.0493102
churchgoer	0.0491399
"school principal"	0.0489637
"major leaguer"	0.0488234
"purchasing agent"	0.0487415
"military man"	0.048617
Gaither	0.048586
missionary	0.0484924
Greco	0.0484778
Heinrichs	0.0484478
Lindner	0.0482905
"young person"	0.0482831
Brazile	0.0481576
agronomist	0.0481318
Goldstein	0.0480242
monarchist	0.0480168
"John J. Gotti"	0.048012
Ingalls	0.0480081
Hemingway	0.0480056
Ono	0.0479805
"chess player"	0.0479482
Hagen	0.0479467
turncoat	0.0479437
Sheldon	0.0478818
Barnett	0.0478728
Scrooge	0.0478602
Fay	0.0478161
joiner	0.0477963
fuller	0.0477896
"battering ram"	0.047778
Boyle	0.047661
forester	0.0476569
welder	0.0476259
Godfrey	0.0475982
geologist	0.0475805
"army officer"	0.0475244
marathoner	0.04751
Keenan	0.0475028
Baum	0.0474911
))
(Canty (desc 687.983) (sims
whomever	0.113846
beamer	0.110545
Solis	0.10701
Scelzi	0.0988578
Borbon	0.0972266
Weil	0.0945783
CEC	0.0945246
"Glenn Hoddle"	0.094336
Bettman	0.0929471
Cowan	0.0918475
Solzhenitsyn	0.0913782
Harr	0.0912459
Puzo	0.0910182
Shoate	0.0878942
Okada	0.0877056
Junger	0.0875343
Vinatieri	0.086642
Sheehy	0.0848333
Biffle	0.0846336
Passarella	0.0831696
"Bora Milutinovic"	0.0829973
Brack	0.0827073
Azizah	0.080048
Talebi	0.0791318
Baum	0.0783769
Isringhausen	0.076608
Hartsburg	0.0762847
Susann	0.0761074
Grisham	0.0754393
Casserly	0.0753766
Schett	0.0747239
Tallas	0.0746171
bullishness	0.0745929
Paxon	0.0739992
Tuberville	0.0736108
Malu	0.0735608
Whipple	0.0733073
Glaber	0.0732729
Cavallo	0.0731203
Andreychuk	0.0728973
Irvan	0.0728619
Rutledge	0.0724226
Shamshad	0.0720336
Calcavecchia	0.0717264
Baba	0.0716167
Atwood	0.0714269
Bowers	0.070802
Zolak	0.0706573
Kassirer	0.0702775
Easley	0.070131
Hoddle	0.0698203
Schourek	0.0698152
Neff	0.0694695
Ainge	0.0690631
Silverstein	0.0690343
Sheedy	0.0688485
Olsen	0.0686081
"Van Roost"	0.0680972
Koehler	0.0680907
Woodard	0.0678669
O'Reilly	0.0676819
Berra	0.0674665
Julich	0.0673587
Donnan	0.067173
TALBOT	0.0670784
Evernham	0.0666101
Brokaw	0.0665995
goalpost	0.0664342
Heinze	0.0662595
Gauthier	0.0661582
Narayanan	0.0660968
Tarawneh	0.0660154
Nickerson	0.065957
Ponciano	0.0658858
Monteverdi	0.0658777
Lepage	0.0658511
"La Russa"	0.0654991
Wilhelm	0.0653892
student-athlete	0.0652121
"Field Poll"	0.0651639
Carlin	0.0651368
Mustafa	0.0646033
Hendrickson	0.0642675
Hornaday	0.0642657
McEwan	0.0642207
Hirsch	0.063991
DiMaio	0.0638484
"Patsy Ramsey"	0.0637735
Flockhart	0.0637607
"Dom Capers"	0.0634746
Zampese	0.0631178
nance	0.0629875
Rendell	0.0629381
McMurtry	0.0629368
Soares	0.0629314
Layden	0.0628522
Intimidator	0.0628203
"Tim Johnson"	0.0626859
"Tom Presthus"	0.0626555
Muckler	0.0625467
Hoch	0.0625371
"John Robinson"	0.0624924
"Ray Rhodes"	0.0624428
Rosa	0.0622832
Heinrichs	0.0620929
Harrigan	0.062081
Papon	0.0620283
Messier	0.0618905
Gibbons	0.0618422
Alero	0.0618225
Zeng	0.0618086
Lehane	0.0617852
Pruett	0.0617582
Strauss-Kahn	0.0613694
"National Security Adviser Sandy Berger"	0.0613061
Jayakumar	0.0612911
"Wolfgang Schaeuble"	0.0611491
"GI Joe"	0.061129
Plante	0.0610739
"steam locomotive"	0.0609349
Dokic	0.0608373
"two pitchers"	0.0606526
Theroux	0.0603456
Rahal	0.0602869
Yoon	0.0601862
Ciampi	0.0598975
Gullikson	0.0598412
Harbaugh	0.0596786
bodybuilder	0.0596555
hieroglyphic	0.0596276
Calvary	0.059518
Desormeaux	0.0594127
Halberstam	0.0591629
Chevenement	0.059078
Kang	0.0589208
Jayhawks	0.0589167
Ogilvy	0.0588209
Fizer	0.0587931
Engelberg	0.0587882
Wharton	0.0585966
"de Charette"	0.0585838
Zanardi	0.0584153
Gossage	0.0583789
McCullough	0.0581742
Weiner	0.0581372
Holtz	0.0580525
Aamodt	0.057951
Prewitt	0.0579211
Asprilla	0.0579002
Bingham	0.0578689
Soto	0.0578203
Elarton	0.0578156
O'Sullivan	0.0577943
megaplex	0.0577941
Brunner	0.0575985
"Rick Neuheisel"	0.0575535
McLachlan	0.0575163
Toomer	0.0575087
"Lou Holtz"	0.0575013
Nowitzki	0.0574497
Westphal	0.0573236
"Chan Gailey"	0.0572959
DuBose	0.0572423
"John Grisham"	0.0572383
clitoris	0.057191
Celta	0.0570982
Belcher	0.0569916
Canseco	0.0569841
Cink	0.056897
"P.J Carlesimo"	0.0568791
Lugar	0.0567968
Mehta	0.0567322
Brockovich	0.0567294
Healy	0.0565454
Edwin	0.0565162
Elie	0.0564941
PDA	0.0564245
"Big Bird"	0.056422
"risk taker"	0.0564021
Mcbride	0.0563818
"Pete Carroll"	0.0562057
"Philadelphia Orchestra"	0.056194
Zenga	0.0561182
Haynes	0.0560927
Peng	0.0560853
Holdsclaw	0.0560094
Cepeda	0.0559318
garret	0.0558591
ESCALADE	0.0558237
Carre	0.0557847
goosebumps	0.0557722
Choate	0.0557393
Carlesimo	0.0556713
Clancy	0.055589
Gottlieb	0.0555413
Modell	0.0555379
Boilermakers	0.055526
"Larry McMurtry"	0.0554933
Faulk	0.0554296
Jacobsen	0.055352
))
(Canuck (desc 8253.91) (sims
"Vancouver Canucks"	0.227471
Blackhawks	0.211813
islander	0.193741
Canadiens	0.192579
"Maple Leafs"	0.181809
oiler	0.181268
"Red Wings"	0.174182
MetroStars	0.159475
coyote	0.15837
panther	0.156669
penguin	0.156567
bruin	0.154008
sabre	0.150528
"New York Rangers"	0.150175
flyer	0.149749
"Philadelphia Flyers"	0.149299
thrasher	0.148605
"Los Angeles Kings"	0.140892
"Florida Panthers"	0.139384
"Ottawa Senators"	0.13924
sixer	0.136853
ranger	0.135442
devil	0.13269
"Boston Bruins"	0.131339
"Edmonton Oilers"	0.130464
"Tampa Bay"	0.129549
"Calgary Flames"	0.128948
"Mighty Ducks"	0.127298
"Dallas Stars"	0.12615
"Chicago Blackhawks"	0.124503
Cavs	0.122355
gamecock	0.12222
Celtics	0.121672
"Buffalo Sabres"	0.121354
"White Sox"	0.121219
"Washington Capitals"	0.121147
Edmonton	0.118876
"San Jose Sharks"	0.118555
duck	0.118414
"New York Islanders"	0.118322
Padre	0.11707
clipper	0.11604
"Minnesota Timberwolves"	0.115424
"Fighting Irish"	0.115211
Sonics	0.114615
Eagles	0.114404
"blue jay"	0.114232
Raptor	0.114121
Redskin	0.114081
piston	0.113494
"Washington Redskins"	0.113216
"Kansas City Royals"	0.113036
marlin	0.112801
buckeye	0.111523
Timberwolves	0.111367
wildcat	0.111298
"Pittsburgh Penguins"	0.111211
shark	0.110464
Vancouver	0.109966
"Cincinnati Reds"	0.109098
Sooners	0.108872
dodger	0.1084
"Detroit Red Wings"	0.108315
"Los Angeles Dodgers"	0.108157
Royals	0.10801
BEARS	0.107458
grizzly	0.10708
"Milwaukee Brewers"	0.107003
Giants	0.106691
"San Diego Padres"	0.105528
"Montreal Canadiens"	0.105044
A's	0.104883
Bengals	0.104841
"Golden State Warriors"	0.104813
Jayhawks	0.104785
diamondback	0.103846
"Anaheim Angels"	0.103678
Phillies	0.103442
"Sacramento Kings"	0.103357
"Carolina Hurricanes"	0.103342
ANAHEIM	0.103061
"Phoenix Coyotes"	0.102376
LSU	0.10216
Orioles	0.101976
ASTROS	0.101946
"San Diego Chargers"	0.101889
cardinal	0.101789
"Indianapolis Colts"	0.101557
Seahawks	0.101486
"St. Louis Blues"	0.101485
avalanche	0.101096
mariner	0.100952
Springbok	0.100421
falcon	0.100418
Seminoles	0.100379
Toronto	0.100103
pacer	0.0997069
Carolina	0.0996584
"Tampa Bay Lightning"	0.0995797
"Horned Frogs"	0.0993718
packer	0.099243
Wolfpack	0.0992271
"Houston Astros"	0.0991571
Inter	0.0991545
"Boston Red Sox"	0.0990035
"St. Louis Cardinals"	0.0988834
spur	0.0987512
"D.C. United"	0.0987501
"devil ray"	0.0986058
"New York Mets"	0.0981594
"Carolina Panthers"	0.0978666
"New York Giants"	0.0974049
"Los Angeles Galaxy"	0.0973045
Boilermakers	0.0972973
"blue devil"	0.0972718
Razorback	0.0972668
"Detroit Tigers"	0.0972018
"Seattle Mariners"	0.0971887
"Pittsburgh Pirates"	0.097134
"Montreal Expos"	0.0970599
Gators	0.0970227
maverick	0.0968787
Steelers	0.0968548
"Toronto Raptors"	0.0967674
matador	0.0965366
"Washington Wizards"	0.0964382
wizard	0.0962423
"Los Angeles Clippers"	0.0961927
Trojan	0.0961782
Dallas	0.0954338
"Red Sox"	0.0949727
"Toronto Maple Leafs"	0.094896
"Oakland Athletics"	0.0948198
Detroit	0.0945016
"Trail Blazers"	0.0942905
"Los Angeles Lakers"	0.0941835
"Utah Jazz"	0.0941213
Fiorentina	0.0940429
"Anaheim Mighty Ducks"	0.0939189
BUCCANEER	0.0938796
hawk	0.0938303
cub	0.0937413
"Colorado Avalanche"	0.093558
"Colorado Rockies"	0.0934657
Calgary	0.0932597
"Baltimore Orioles"	0.0931179
Udinese	0.0930498
"Chicago Bulls"	0.0929261
"Boston Celtics"	0.0926867
"Minnesota Vikings"	0.0924918
nugget	0.0923332
ram	0.0923323
charger	0.0920389
"Golden State"	0.0919989
"Minnesota Twins"	0.091879
"Cleveland Indians"	0.0918542
"Florida Marlins"	0.0917401
Hornet	0.0917334
"San Francisco Giants"	0.0917171
"Chicago White Sox"	0.091474
Starzz	0.091409
Longhorn	0.0913077
predator	0.0912138
Raven	0.0911568
"Phoenix Suns"	0.0910897
"Jacksonville Jaguars"	0.0910755
Viking	0.0910746
"Nashville Predators"	0.0910687
Knicks	0.0908924
"Charlotte Hornets"	0.0908443
"Texas Rangers"	0.0906945
Sox	0.0905458
bulldog	0.0904171
brave	0.0903407
Vols	0.0902211
Expo	0.0898201
"Philadelphia Phillies"	0.0897276
"Houston Rockets"	0.0894853
husky	0.0891224
Lakers	0.0890659
Hawkeyes	0.0888846
Huskers	0.088659
"Toronto Blue Jays"	0.0886042
Buffalo	0.088502
Rutgers	0.088448
cavalier	0.0882906
Bayern	0.088239
"Seattle Seahawks"	0.0881988
Ottawa	0.0881748
"Buffalo Bills"	0.0881455
Sparks	0.0880857
"Atlanta Braves"	0.0879428
patriot	0.0879413
"Crimson Tide"	0.0877763
"Tar Heels"	0.0877673
"Philadelphia Eagles"	0.0877563
"New Jersey Devils"	0.0876868
"Chicago Cubs"	0.0876682
bearcat	0.0875964
Cornhusker	0.0875468
))
(canvas (desc 35509.6) (sims
painting	0.104053
fabric	0.0982648
leather	0.0861252
plastic	0.0841511
silk	0.0829039
mat	0.0812718
mural	0.0802871
watercolor	0.0785044
tile	0.0779089
vinyl	0.0775286
nylon	0.0758224
mesh	0.0757502
cloth	0.075256
portrait	0.0730179
floor	0.0728616
Plywood	0.0706839
linen	0.0704548
Concrete	0.0692946
sheet	0.0691561
velvet	0.0682862
paper	0.0674526
suede	0.0668732
cardboard	0.0665578
wood	0.0664162
carpet	0.0663438
sheeting	0.0660705
rug	0.0656085
ICE	0.0651697
tarp	0.0651513
sculpture	0.065048
wall	0.0650271
drawing	0.0648758
paint	0.0645749
screen	0.0632717
pavement	0.0628711
glass	0.0626158
easel	0.0625965
aluminum	0.0624422
artwork	0.061483
blanket	0.061398
cotton	0.0613535
piece	0.0612064
"oil painting"	0.0602385
parchment	0.0601526
fresco	0.0600698
wool	0.0599221
frame	0.0598631
plaster	0.0597031
plate	0.0592888
quilt	0.0592058
landscape	0.0585639
picture	0.0584666
surface	0.0584596
wallpaper	0.0578833
grass	0.0572241
tent	0.0572063
shoe	0.0571657
poster	0.056713
foam	0.0566072
sofa	0.0563945
dirt	0.056295
foil	0.0561514
photograph	0.0560971
shirt	0.0560423
satin	0.0559177
box	0.0557945
fiberglass	0.0553674
brick	0.0551229
slab	0.0547071
leaf	0.0545975
rectangle	0.0543846
jersey	0.0540474
dress	0.0540443
coat	0.0536714
flower	0.0535976
furniture	0.0533554
chest	0.0531328
plaid	0.0530391
skin	0.052914
bag	0.0524709
fur	0.0522352
palette	0.0522009
mattress	0.0521076
lace	0.0519455
pad	0.0516469
flag	0.0514849
table	0.0514749
rope	0.051463
object	0.0513797
roof	0.0512892
bed	0.0512558
towel	0.0511562
"aluminum foil"	0.0508941
brocade	0.0505658
metal	0.0501185
apron	0.050117
rubber	0.0499279
curtain	0.0496639
billboard	0.049645
chair	0.0496086
steel	0.0495614
sweater	0.0495552
self-portrait	0.0494007
carpeting	0.049341
collage	0.0493212
tree	0.0492907
logo	0.0492121
tarpaulin	0.0491333
denim	0.0491323
"sheet of paper"	0.0490625
Clothing	0.04901
brush	0.0489993
deck	0.0488192
asphalt	0.0488094
lumber	0.0487646
tapestry	0.0487134
siding	0.0486637
sock	0.0486499
lawn	0.0486316
sketch	0.0485411
masterpiece	0.048522
chiffon	0.0484492
jacket	0.0484077
pot	0.0483616
hair	0.0483103
ribbon	0.0481081
sand	0.0480779
turf	0.0480456
insulation	0.048039
gauze	0.0480025
image	0.0479537
ceiling	0.0479522
mosaic	0.0478937
bottle	0.0478527
feather	0.0478482
banner	0.0478043
material	0.0478033
map	0.047743
mirror	0.0476898
decoration	0.0476251
art	0.047347
polyester	0.0473278
desk	0.0469882
Canopy	0.0467619
rock	0.0467246
"work of art"	0.046611
wire	0.0465428
patch	0.0464619
shingle	0.0463237
backdrop	0.0461749
"plastic wrap"	0.0461523
clay	0.0460893
stone	0.04596
T-shirt	0.0458366
Straw	0.0456968
Pottery	0.0454149
mask	0.0453809
marble	0.0451897
red	0.0451399
tablecloth	0.045139
scarf	0.0450455
boot	0.0450113
window	0.0450089
exhibit	0.0449968
robe	0.0449574
ceramic	0.0448938
"computer screen"	0.0448068
collection	0.0445979
scroll	0.0445612
statue	0.0444879
color	0.0444617
stain	0.0444034
Tin	0.0443075
handkerchief	0.0441422
molding	0.0441309
bunting	0.0440737
blouse	0.0440326
beam	0.0439826
Dome	0.0439668
lacquer	0.0438429
tape	0.0438403
camouflage	0.0438403
bottom	0.0437666
square	0.0436266
cement	0.0435562
earth	0.0434836
costume	0.0434779
pant	0.0434756
pigment	0.0433588
swastika	0.0432921
resin	0.0430989
chrome	0.0429937
stucco	0.0427867
Hood	0.042751
bandage	0.0426999
sidewalk	0.0426373
facade	0.0426113
gallery	0.0425351
skirt	0.0422558
manuscript	0.0421979
))
(canvassing (desc 2107.4) (sims
counting	0.111079
solicitation	0.0708342
enumerators	0.0611724
"medical examination"	0.0604385
pillaging	0.0588511
harvesting	0.055353
"more than three-fourths"	0.0545992
"less than five percent"	0.0539414
"won @@.@ percent"	0.0537711
copilot	0.0537034
headcount	0.0534266
"sales staff"	0.0526819
felling	0.0511888
salesmen	0.0499886
"head count"	0.0497317
wooing	0.0497077
telemarketing	0.0496719
fieldwork	0.0496473
three-fifths	0.0487634
Ince	0.0487285
weighting	0.0473821
"Twenty-five percent"	0.0470324
stumping	0.0468841
handbill	0.0462322
self-examination	0.0459091
"detective work"	0.04587
drilling	0.0447545
coursework	0.0447331
intercession	0.044627
"Di Canio"	0.044553
arm-twisting	0.0437946
"census taker"	0.0436493
airdrop	0.043399
cloning	0.0426989
"medical exam"	0.042485
recruiting	0.0423805
visitation	0.0423788
gentrification	0.0422578
"futures trading"	0.0419771
"educational activity"	0.0416715
"golden rule"	0.0414713
"absolute majority"	0.0407899
"less than one percent"	0.0405821
"medical practice"	0.0403965
"health check"	0.0401864
cockfighting	0.0401721
recounting	0.0400679
))
(canyon (desc 31425.1) (sims
mountain	0.139983
ravine	0.132932
valley	0.131415
gorge	0.126791
"Grand Canyon"	0.121548
forest	0.111665
gully	0.111579
desert	0.107912
lake	0.107076
waterfall	0.0979339
cliff	0.0964411
hill	0.0952576
jungle	0.0946553
terrain	0.0913929
crag	0.0905081
river	0.0893736
cave	0.088697
crater	0.0876834
wilderness	0.0873727
glacier	0.084791
ocean	0.0831299
"sand dune"	0.0819576
countryside	0.0800966
"national park"	0.0787984
hillside	0.0780335
coastline	0.0779825
grassland	0.0778027
"rain forest"	0.0773489
"mountain range"	0.0767725
swamp	0.0763352
park	0.0756388
Creek	0.0749967
landscape	0.0726573
volcano	0.0725514
ridge	0.0724693
"body of water"	0.0710291
pond	0.0708312
fjord	0.0698981
meadow	0.0694875
Grove	0.0693221
slope	0.0691982
Cove	0.0689565
mountainside	0.0676802
shoreline	0.0675798
basin	0.0670758
corridor	0.0668771
wetlands	0.0664261
tunnel	0.065957
dune	0.0658914
cavern	0.0657818
farmland	0.0657059
beach	0.0649807
Canal	0.0644623
"coral reef"	0.0637384
plateau	0.0636365
waterway	0.063469
foothill	0.0633945
inlet	0.0632706
sea	0.0631859
Bay	0.0631545
village	0.0627372
lagoon	0.0625387
Marsh	0.0620087
woodland	0.0618035
stream	0.0615994
Wetland	0.0615132
peak	0.0612694
"hot spring"	0.0608344
pasture	0.0605472
bluff	0.0605447
Yosemite	0.0605247
expanse	0.0598813
ruin	0.0595162
plain	0.0593591
garden	0.0592246
harbor	0.0589887
Everglades	0.0586234
street	0.05857
pit	0.0582092
sanctuary	0.0576139
"Pacific Ocean"	0.0571212
wood	0.0569926
reservoir	0.0567668
island	0.0564711
ledge	0.0563718
neighborhood	0.0561065
reef	0.056086
Mesa	0.0560402
downtown	0.055989
prairie	0.0558924
"mountain pass"	0.0557732
"Death Valley"	0.0555237
Yellowstone	0.0552149
riverbed	0.0550439
orchard	0.0550093
cemetery	0.0549378
scenery	0.0548239
tree	0.0546223
skyscraper	0.0545733
wasteland	0.0545097
dam	0.0544114
plaza	0.0543264
Vista	0.0543003
square	0.0542741
resort	0.0541668
lane	0.053619
ditch	0.0535958
"parking lot"	0.053593
foothills	0.0535553
trench	0.0533196
Tower	0.0528861
highland	0.0528225
Hamlet	0.052681
staircase	0.0524032
ecosystem	0.0523396
spire	0.0522572
moat	0.0518245
ranch	0.051671
archipelago	0.0513644
sand	0.0513603
rock	0.0508209
pool	0.0508034
hallway	0.0507549
Sky	0.0507406
Dome	0.050644
lowland	0.0506411
pacific	0.0505744
cabin	0.0503445
"tropical rain forest"	0.0502736
Sahara	0.0502715
county	0.0501745
skyline	0.0499452
walkway	0.0498682
courtyard	0.0498484
Vineyard	0.0497187
Stairway	0.0495465
pine	0.0494254
estuary	0.0493849
grotto	0.0490728
"suspension bridge"	0.0490281
basement	0.0489803
Atlantic	0.0489077
"San Francisco Bay"	0.0488726
bridge	0.0487337
embankment	0.0486363
Alley	0.0483811
"national monument"	0.0483777
monument	0.0483028
"blue sky"	0.0481357
subdivision	0.0477777
"North Atlantic"	0.0475094
driveway	0.0474789
habitat	0.0474385
enclave	0.0472863
coast	0.0472434
"North Pole"	0.0471454
"rural area"	0.0468
territory	0.0467045
cornfield	0.0466879
interior	0.0463628
rainforest	0.0459152
crevice	0.0458929
earth	0.045853
aquifer	0.0458505
"Sierra Nevada"	0.0458029
tract	0.0456798
thicket	0.0456293
swath	0.0455999
township	0.0455135
"solar system"	0.0455085
suburb	0.0454729
"Hudson River"	0.0453743
vegetation	0.0452462
Alps	0.0452063
bunker	0.0451379
passageway	0.0449403
bog	0.0449155
chasm	0.0448684
Monastery	0.0447854
path	0.0447313
plantation	0.0445491
"mountain peak"	0.0443635
wreckage	0.0443108
Flagstaff	0.0441477
watershed	0.0441314
wildlife	0.0440574
"main street"	0.0439918
dwelling	0.0439446
hollow	0.0439328
atrium	0.0438799
campground	0.0438696
"Rio Grande"	0.043856
Castle	0.0438041
soil	0.043668
garage	0.0434861
gravel	0.0434797
highway	0.0434709
compound	0.043364
grass	0.0432938
"Central Park"	0.0432697
))
(Cao (desc 2117.43) (sims
Zou	0.223688
Zeng	0.192188
Jia	0.173559
Shi	0.171116
guo	0.163017
Hu	0.162353
Tian	0.159554
Luo	0.158188
Kasoulides	0.155578
Kostov	0.154862
Cheng	0.152404
Shamshad	0.15133
Ikimi	0.150805
Jayakumar	0.146449
Rong	0.145984
"de Charette"	0.144577
Qiao	0.144564
Wei	0.143319
Zhao	0.143163
Wu	0.142916
LU	0.142198
Cui	0.141266
Ashrawi	0.141203
Yu	0.13896
Ruehe	0.138875
Leghari	0.137378
Qu	0.137232
Zheng	0.136885
wen	0.134455
Phieu	0.133184
Markovic	0.131497
Singson	0.130601
Velayati	0.130348
Jovanovic	0.129403
Guterres	0.128096
Dai	0.127755
Alatas	0.127394
Xiao	0.126916
Fu	0.126198
Azad	0.122724
Meguid	0.122532
Xie	0.122506
Yastrzhembsky	0.121774
Yang	0.121571
Malu	0.121091
Ziegler	0.120945
Surin	0.120899
Zhou	0.119801
Nzo	0.119708
"Faisal Husseini"	0.119458
Liang	0.118815
Juma	0.118724
Hallinan	0.118118
Chissano	0.117992
Ren	0.117706
Liu	0.117435
Tarawneh	0.117404
Siazon	0.117098
Boueiz	0.117097
Sheng	0.116657
Qi	0.115347
Stoyanov	0.114958
Zhu	0.114603
Peng	0.114238
DeFrantz	0.113764
Brittan	0.113602
Lim	0.112874
Wan	0.112678
Chi	0.111943
Rifkind	0.11154
Kumaratunga	0.11114
Wolfensohn	0.11046
Axworthy	0.110032
Ogata	0.110006
Xiong	0.109981
Holl	0.10937
Juncker	0.109361
Nkomo	0.109297
Qian	0.109269
Insulza	0.109111
Li	0.108431
Whaley	0.108043
Wang	0.10777
Sumaye	0.107269
Mkapa	0.107129
Chen	0.106981
Sharma	0.10667
Zhang	0.106602
Husseini	0.106504
Vogel	0.10623
Greco	0.105854
Bulatovic	0.10555
Khai	0.104936
Buhe	0.104911
Shipley	0.104721
Deutsch	0.10464
Zuma	0.103978
Murad	0.103904
Xiang	0.103733
Mukora	0.10367
Nazarbayev	0.103196
Dar	0.102796
Camdessus	0.10268
Azizah	0.102671
Grasso	0.102405
Gosper	0.102128
Duisenberg	0.101899
Feng	0.101703
Loeb	0.101512
Huang	0.101475
Rubenstein	0.101008
Maslyukov	0.100601
Rodionov	0.100114
Greenwald	0.100033
Bai	0.099886
Modise	0.0998818
Mustafa	0.0998381
Tung	0.0998243
Arens	0.09971
Rosenthal	0.0996603
Shareh	0.0995853
Kraus	0.0988401
Flanagan	0.0986654
nance	0.0986574
Berri	0.0986346
Weinstein	0.0985829
Kato	0.0981982
Fleischer	0.0981629
Niyazov	0.0981286
Iglesias	0.0980303
Smirnov	0.0978704
Quintana	0.0975756
Rakhmonov	0.0973267
Shulman	0.0972081
Mercado	0.0971739
Meissner	0.0969608
Rahman	0.0968039
"Tin Oo"	0.0967962
Beilin	0.0966978
"Huang Ju"	0.0963449
Mehta	0.0963313
Rabe	0.095591
Museveni	0.0955045
Neulander	0.095328
Piot	0.095313
Hamid	0.0951229
Fordice	0.0950795
Satcher	0.0950119
Lawson	0.0949331
Butterworth	0.0946379
Zhirinovsky	0.0945853
Rashid	0.0945273
Krasniqi	0.0944993
Atwood	0.0944246
Bao	0.0941844
Tsang	0.0941504
Kang	0.0940647
Arbour	0.0940029
Fernandes	0.0939186
Kasyanov	0.0938322
Hiett	0.0937307
Karimov	0.093461
Fino	0.093432
Lin	0.0932599
Rawlings	0.0932558
Saleh	0.093071
Nemtsov	0.0929924
Stroyev	0.0929804
xu	0.092865
Shen	0.0928291
Petersen	0.0925638
Wilhelm	0.0923871
Kessler	0.0921122
Kok	0.0918324
Farber	0.091768
Seleznyov	0.0914111
Izetbegovic	0.0913033
Akayev	0.0911202
Granic	0.0910068
Sha	0.0909547
Frei	0.0908379
Larson	0.0908294
Schmid	0.0906819
Skiles	0.0905998
"Tian Jiyun"	0.0903399
"Hu Jintao"	0.0903024
Severino	0.0902819
Shaath	0.090027
Eizenstat	0.0900266
Berenson	0.0900039
Gurirab	0.0898721
"Jia Qinglin"	0.0893232
Ciampi	0.0893035
Prueher	0.0891636
Muoi	0.0887142
Barbour	0.0886485
Hahn	0.0885216
Chu	0.0884955
Pustovoitenko	0.0883673
Capps	0.08829
))
("Cao Zhi" (desc 1474.64) (sims
"Wang Hanbin"	0.348369
"Cheng Siwei"	0.295539
"Wan Guoquan"	0.278999
"Wang Zhaoguo"	0.277412
"Tian Jiyun"	0.271108
"Wu Jieping"	0.262595
"Zhou Guangzhao"	0.261667
Buhe	0.243546
"Wang Guangying"	0.241313
Luli	0.232688
"Qian Weichang"	0.228391
"Chen Ziying"	0.225484
"Song Jian"	0.224337
"Cheng Kejie"	0.220483
"Zou Jiahua"	0.219567
"Peng Peiyun"	0.218193
"Zhang Wannian"	0.217323
"Lu Ping"	0.21153
"Chi Haotian"	0.205104
"Jiang Chunyun"	0.201628
Fuling	0.198478
"Liu Huaqing"	0.188723
"Chen Muhua"	0.187203
"Koichi Kato"	0.166336
"Qian Zhengying"	0.154233
"Luo Gan"	0.153326
"Lei Jieqiong"	0.151604
"Cesar Gaviria"	0.151019
Councillor	0.144684
"Salim Ahmed Salim"	0.138182
Muoi	0.126228
"Joseph Ralston"	0.124806
"Yukio Hatoyama"	0.119717
"Hu Jintao"	0.11535
"Wang Zhongyu"	0.111275
"Yoshiro Mori"	0.109559
vice-chairman	0.107868
"Abu Mazen"	0.106564
"Li Tieying"	0.105423
"Wu Yi"	0.103109
Vice-Premier	0.10134
"Joel Klein"	0.096915
"Li Lanqing"	0.0957892
vice-chairwoman	0.0946275
"Ding Guangen"	0.0942584
Tian	0.093964
"Yu Yongbo"	0.0924586
"CPPCC National Committee"	0.0922749
"Wei Jianxing"	0.0880226
"Dai Bingguo"	0.0867889
Chi	0.0862912
"Boutros Boutros-Ghali"	0.0861336
"Tin Oo"	0.0846755
Kasoulides	0.0838821
"Mahmoud Abbas"	0.0837492
"Zeng Qinghong"	0.0803364
"Richard Blumenthal"	0.0802833
Zeroual	0.0799088
"Javier Solana"	0.0781296
Ralston	0.0762248
"Oladipo Diya"	0.0760059
Meguid	0.0755026
"State Councilor"	0.0745492
Luo	0.0739722
"Wen Jiabao"	0.0737103
"Jia Qinglin"	0.0733961
Zeng	0.0730864
"Zhu Lin"	0.0728814
Velayati	0.0723902
"Li Peng"	0.0720453
Chissano	0.0715726
Ghalib	0.0712629
Presidium	0.0706753
Councilor	0.0698337
"George Robertson"	0.0696799
"Li Ruihuan"	0.0696195
"Sergio Vieira de Mello"	0.0679664
"Eric Holder"	0.0679067
"Ramsey Clark"	0.0674643
"Maung Aye"	0.0674078
Azad	0.066845
vice-president	0.0665478
Shareh	0.0664247
"Xiong Guangkai"	0.0664188
Solana	0.0656839
"Huang Ju"	0.0655902
"Chinese People's Political Consultative Conference"	0.0652873
Shi	0.0651564
"Jacques Rogge"	0.0650564
"Qiao Shi"	0.0646822
"Sepp Blatter"	0.0641441
"Edmund Ho Hau Wah"	0.0637001
chairperson	0.0636456
"Wu Bangguo"	0.0632652
Kato	0.0632447
Sumaye	0.063179
"Ismail Amat"	0.0630236
Sithole	0.0627736
Rifkind	0.0627214
Zou	0.0625123
Xie	0.062259
"Bill Lann Lee"	0.0618838
"Hans Blix"	0.0618593
Hu	0.061857
Blatter	0.0617115
Muluzi	0.0614615
Nzo	0.0614498
"Barry McCaffrey"	0.061442
Boutros-Ghali	0.0612633
"Political Bureau"	0.0609909
Abdel-Meguid	0.0608151
Rong	0.0607732
BURNHAM	0.0605557
"Central Military Commission"	0.0603898
"Ariel Sharon"	0.0600726
Jovanovic	0.0597772
Hajjarian	0.0596383
Guterres	0.059435
"Zhou Nan"	0.059423
vice-chairmen	0.059085
Cheng	0.0589241
Sahnoun	0.0586646
"NPC Standing Committee"	0.0586151
"Martti Ahtisaari"	0.0585701
"Fu Quanyou"	0.0585277
Kagame	0.0583557
"Jiang Zemin"	0.0580399
Hwang	0.0579827
Stoyanov	0.0579534
"Chea Sim"	0.0578834
"Alexander Lebed"	0.0577662
Majko	0.0576783
"Xie Zhenhua"	0.0575832
Juma	0.0566868
Severino	0.0566494
Murad	0.0566036
"Richard Bryan"	0.0558386
"Tung Chee Hwa"	0.0557141
"Prabowo Subianto"	0.0553355
Abbas	0.0552693
"World Petroleum Congress"	0.0552365
Jia	0.0552294
Jayakumar	0.0551116
Tsang	0.0550119
"Prime Minister Kamal El-Ganzouri"	0.0547761
Arens	0.0547278
Cao	0.0547012
"de Charette"	0.0545766
Xiong	0.0545531
Diouf	0.0542761
Al-Faisal	0.0539154
"Bill Owens"	0.0535253
Terra	0.0534251
Sensenbrenner	0.0527694
"Phan Van Khai"	0.0526425
Alatas	0.0525754
vice-chairperson	0.0524824
Zhenyu	0.0524674
Iliescu	0.0524433
"Shanghai Composite Index"	0.0523473
Easley	0.0519484
"Bill Lockyer"	0.0518851
Khai	0.0517802
Constantinescu	0.0516309
"Tang Jiaxuan"	0.0515165
"Vo Van Kiet"	0.0513422
SSE	0.0511955
Baz	0.0511113
"Li Zhaoxing"	0.0509922
Pustovoitenko	0.0508677
Ganzouri	0.0506192
al-Sahaf	0.0505468
"Khin Nyunt"	0.0504688
Masire	0.0501319
Lim	0.0498865
Moratinos	0.0496155
Pickering	0.0492889
Sato	0.0491907
Shamshad	0.0490846
"Cambodian King Norodom Sihanouk"	0.0488443
Obasanjo	0.0487521
Hynes	0.0486653
"Dai Xianglong"	0.0484245
Indyk	0.048389
"Scott Harshbarger"	0.0483765
"Abidine Ben Ali"	0.0483369
Vice-Minister	0.0483023
D-Neb	0.0482526
Kharrazi	0.0482213
"Richard C. Holbrooke"	0.0482089
"Mike Moore"	0.0481132
"Marzuki Darusman"	0.0480948
"Lee Hsien Loong"	0.0479454
LU	0.0477748
"Wesley Clark"	0.0477154
Bellamy	0.0476981
namelist	0.0475433
Luong	0.0475092
vice-mayor	0.047439
"Chinese Communist Party (CPC) Central Committee"	0.0474165
))
(cap (desc 86014.8) (sims
hat	0.179289
"salary cap"	0.158388
"baseball cap"	0.154028
shirt	0.144308
jacket	0.141217
limit	0.135832
sweatshirt	0.133312
T-shirt	0.130301
helmet	0.12833
uniform	0.119717
jersey	0.117129
pant	0.115708
sweater	0.114625
scarf	0.112739
sock	0.112002
"blue jean"	0.111901
sunglasses	0.110377
beret	0.108543
"cowboy hat"	0.107842
jean	0.106554
coat	0.10592
"polo shirt"	0.103854
windbreaker	0.101366
shoe	0.0998576
trouser	0.0989543
glove	0.0989048
vest	0.0986228
ceiling	0.0985596
boot	0.0977365
"leather jacket"	0.0976425
sneaker	0.0952942
skirt	0.0920695
mask	0.0918089
dress	0.0913865
wig	0.0913366
turtleneck	0.0911361
restriction	0.0906008
sandal	0.0863286
"cowboy boot"	0.0862364
robe	0.0849439
"straw hat"	0.0842985
overcoat	0.0838431
cloth	0.0834252
pullover	0.0826369
suit	0.0824855
blouse	0.0818346
collar	0.0813383
Poncho	0.0808326
apron	0.080103
budget	0.0786673
jumpsuit	0.078486
quota	0.078333
slack	0.077989
Clothing	0.0772316
short	0.0770018
khaki	0.0769638
hair	0.0767276
bag	0.0756839
parka	0.0753168
tunic	0.0752111
lid	0.0748049
Limitation	0.0737937
towel	0.0731626
"price tag"	0.0730048
tights	0.0729265
"bow tie"	0.0728161
shawl	0.0721949
"tennis shoe"	0.0720309
handbag	0.0718393
tax	0.0716385
slipper	0.0713518
requirement	0.0711998
ban	0.0711989
turban	0.0708546
cardigan	0.0707265
headband	0.0701479
button	0.070065
blazer	0.0700359
underwear	0.0699874
purse	0.0699186
"trench coat"	0.0699068
fee	0.0698989
gown	0.0697255
sleeve	0.0687871
blanket	0.0686553
loafer	0.0680381
glass	0.0669803
goggles	0.0667186
moratorium	0.0667152
necktie	0.0664072
"income tax"	0.0655952
belt	0.0655139
regulation	0.0646644
Cape	0.0644892
pin	0.0642205
Beard	0.0641958
sticker	0.0640495
Outfit	0.0638904
earring	0.0633576
Hood	0.0626037
bottle	0.062484
premium	0.0620111
top	0.0619233
gear	0.061668
bra	0.061633
ball	0.0613628
garb	0.0613601
freeze	0.0611291
guideline	0.0610017
"market value"	0.0608613
"bathing suit"	0.0608295
rule	0.0608282
maximum	0.0606065
salary	0.0605684
bonus	0.0605218
payroll	0.0605107
flag	0.060082
capitalization	0.0597583
"tax increase"	0.0597439
bat	0.0597296
payment	0.0593532
necklace	0.0592948
provision	0.0589447
pajama	0.0588904
umbrella	0.0587586
tariff	0.0584775
pants	0.0583504
tuxedo	0.058018
sheet	0.0577546
saving	0.0574563
revenue	0.0574368
mustache	0.0573698
logo	0.0573411
headdress	0.0572634
cloak	0.0572222
cost	0.0572059
bill	0.0571603
savings	0.0571508
pad	0.0569566
exemption	0.0568487
"operating budget"	0.056825
contract	0.056703
jewelry	0.0565088
banner	0.0564279
prohibition	0.0562322
badge	0.0561644
reduction	0.0560801
curb	0.0560017
skin	0.0559833
penalty	0.0559737
surcharge	0.0557466
package	0.0555165
costume	0.0553049
box	0.0551683
"sales tax"	0.0551392
backpack	0.0550262
control	0.054895
card	0.0548846
"time limit"	0.0548696
bikini	0.0548689
"tax credit"	0.054858
payout	0.0548358
spending	0.0548267
subsidy	0.0547721
swimsuit	0.0547283
handkerchief	0.0546205
"tax cut"	0.0543089
deduction	0.0542962
estimate	0.0540063
pair	0.05393
"purchase price"	0.0539079
earnings	0.0538864
minimum	0.0538726
"tax break"	0.0538714
law	0.0537498
surplus	0.0535885
wallet	0.0535733
Sash	0.0534854
embargo	0.0534582
frame	0.0534321
expenditure	0.053293
check	0.0531832
lock	0.0530136
leather	0.0527954
item	0.0526233
poster	0.0524132
standard	0.0523179
bandage	0.0522953
money	0.0521312
"tax rate"	0.0520108
fabric	0.051865
rebate	0.0518001
valuation	0.051781
sanction	0.0517081
red	0.0516783
chair	0.0511587
legislation	0.0511025
veil	0.0509578
constraint	0.0507893
"down payment"	0.0507861
))
(capability (desc 76101.8) (sims
ability	0.197643
capacity	0.179446
skill	0.154543
technology	0.153993
expertise	0.150889
efficiency	0.143162
infrastructure	0.135458
strength	0.134647
resource	0.133724
competence	0.132796
readiness	0.131581
potential	0.130336
effectiveness	0.13021
quality	0.12743
equipment	0.125188
system	0.124625
competitiveness	0.119974
technique	0.11703
mechanism	0.116923
reliability	0.114109
flexibility	0.113123
"military capability"	0.11286
tool	0.11277
know-how	0.111641
knowledge	0.110173
determination	0.107988
function	0.107841
software	0.107132
strategy	0.106156
method	0.104907
willingness	0.104824
weaponry	0.103715
facility	0.10361
talent	0.102658
commitment	0.101902
preparedness	0.101189
productivity	0.101153
stability	0.100683
power	0.100665
development	0.100454
program	0.0997203
structure	0.0992976
integrity	0.099013
Manpower	0.0989511
intelligence	0.097859
access	0.0977132
speed	0.0976065
service	0.0969755
credibility	0.0962838
stamina	0.0950474
professionalism	0.0946277
experience	0.0943764
viability	0.0942831
training	0.0940595
profitability	0.094045
firepower	0.092458
innovation	0.0922551
Creativity	0.0922307
standard	0.0919104
feature	0.0918839
environment	0.0918794
device	0.0918139
application	0.0915206
activity	0.0908672
operation	0.0905756
accuracy	0.0905448
diversity	0.0902682
management	0.0901486
weapon	0.0901206
confidence	0.089995
clout	0.089601
value	0.0887288
prowess	0.0884842
effort	0.0881848
communication	0.0880512
security	0.087896
availability	0.0878812
need	0.0877392
hardware	0.0867518
participation	0.0866152
support	0.0866082
network	0.0864591
acumen	0.0864501
cooperation	0.0861475
morale	0.085954
knowhow	0.0857104
motivation	0.085626
achievement	0.0855746
awareness	0.0852679
growth	0.0852531
responsibility	0.0852428
presence	0.0851961
policy	0.0851596
role	0.0851046
transparency	0.0846942
component	0.0846459
protection	0.0843606
mobility	0.0837815
"legal system"	0.0837734
requirement	0.0833687
intention	0.0832585
procedure	0.0831946
discipline	0.0831674
characteristic	0.083018
opportunity	0.0829822
toughness	0.0829088
safety	0.0828377
size	0.0827888
control	0.0826737
funding	0.0826102
means	0.0825552
performance	0.0824643
force	0.082283
personnel	0.0822718
resolve	0.0820903
cost	0.0819511
"nuclear weapon"	0.0817562
courage	0.081345
coordination	0.0813189
cohesion	0.0811383
desire	0.0811052
energy	0.0809968
information	0.0808959
proficiency	0.0806532
fundamental	0.0805277
armament	0.0801771
depth	0.0801081
liquidity	0.0800993
improvement	0.0800256
level	0.0797638
prestige	0.0796205
dynamism	0.0795688
ambition	0.0792397
ethic	0.0791116
unity	0.0789394
teamwork	0.0788098
assistance	0.078696
identity	0.0786361
leadership	0.0785826
objective	0.0785804
resilience	0.0785106
interest	0.0784333
input	0.0784048
status	0.0783614
"control system"	0.0783424
economy	0.07828
product	0.0781724
modernization	0.0780737
scope	0.0778322
framework	0.0777984
production	0.0777868
unit	0.077505
research	0.0774982
"defense system"	0.0774703
design	0.0774298
seriousness	0.0773954
vision	0.0773424
content	0.0772527
wisdom	0.0772165
initiative	0.0771772
success	0.0768547
demand	0.0768414
bandwidth	0.0767517
measure	0.0765853
education	0.0765518
difficulty	0.076441
supply	0.0764198
"quality of life"	0.0763868
command	0.0762979
data	0.0762832
connection	0.0762342
accountability	0.0761821
"customer service"	0.0760584
understanding	0.0760367
"economies of scale"	0.0757187
financing	0.0756308
maturity	0.0756172
vitality	0.075516
planning	0.075477
project	0.0753485
"weapons system"	0.0753342
plan	0.0753104
number	0.0751393
condition	0.0751
mandate	0.0750799
patience	0.0750776
durability	0.074976
logistics	0.0747684
"natural resource"	0.0747231
concept	0.0746355
wherewithal	0.0745862
material	0.0745732
integration	0.0744921
problem	0.07432
functionality	0.0742756
complexity	0.0741396
"production capacity"	0.0740773
task	0.0740061
missile	0.0739828
"communication network"	0.0739735
))
(capacitor (desc 2113.53) (sims
"circuit board"	0.186582
"integrated circuit"	0.152793
"disk drive"	0.124588
transistor	0.118892
transformer	0.0924504
"communications equipment"	0.0913298
"air filter"	0.0910897
"test equipment"	0.0840097
"household appliance"	0.0838466
peripheral	0.0835871
pylon	0.07946
"electronic device"	0.0770542
"memory chip"	0.0732982
"coaxial cable"	0.0726296
"transmission line"	0.0722953
"optical fiber"	0.0718061
"radio transmitter"	0.0703861
semiconductor	0.0671268
"aircraft part"	0.0665334
"guided missile"	0.0648246
"rolling stock"	0.0645121
"electric fan"	0.0635613
"can opener"	0.0624646
ICS	0.0613165
"home appliance"	0.0608169
"storage device"	0.0602592
"hand-held computer"	0.0601413
switchboard	0.0601369
"power cable"	0.0597611
"shock absorber"	0.0590618
"telephone set"	0.0575623
alternator	0.056967
stethoscope	0.0564455
"short circuit"	0.056312
amplifier	0.056226
"suspension system"	0.0557665
Microelectronics	0.0550864
"pipe organ"	0.0549604
"consumer electronics"	0.0534277
"electronic equipment"	0.052825
readout	0.0516139
"water pump"	0.0514257
"water heater"	0.0513583
LDs	0.0506151
"production equipment"	0.0501921
turbine	0.0498648
lightbulb	0.049854
substation	0.0498373
"circuit breaker"	0.0488939
"light bulb"	0.0488367
"space heater"	0.0483209
air-conditioner	0.0475563
"machine tool"	0.0472033
motherboard	0.0471623
pagers	0.0471172
petrochemical	0.0469359
antifreeze	0.0466939
tuner	0.0461758
"cassette recorder"	0.0457144
"picture tube"	0.0455118
"silicon chip"	0.0454831
sundial	0.0451548
"electric motor"	0.0449345
conditioner	0.0445163
"satellite receiver"	0.0444341
washer	0.0439953
"spark plug"	0.0439137
"hearing aid"	0.0435287
circuitry	0.0434503
grinder	0.0433357
microchip	0.0431845
microcomputer	0.0423781
"diesel engine"	0.0419317
"cassette tape"	0.0414399
headrest	0.040878
GRIDDLE	0.0406768
voltage	0.0406311
"power system"	0.0406018
))
(capacity (desc 138491) (sims
"production capacity"	0.229032
output	0.181311
capability	0.179446
ability	0.137988
efficiency	0.133317
production	0.128043
resource	0.122691
potential	0.121843
infrastructure	0.118137
volume	0.112548
reserve	0.110105
facility	0.105795
productivity	0.105642
supply	0.105464
strength	0.103877
consumption	0.103593
cost	0.103535
demand	0.103087
equipment	0.101161
total	0.0993679
power	0.0993495
value	0.0990068
speed	0.0988083
quality	0.098505
skill	0.0968614
technology	0.0964959
system	0.0963549
investment	0.0956394
revenue	0.0955965
level	0.0948854
size	0.0937037
amount	0.0936977
export	0.0933444
flexibility	0.0926859
need	0.092685
growth	0.0925622
number	0.0923304
competitiveness	0.0917542
Tonnage	0.0912009
expertise	0.0907856
bandwidth	0.0896261
quota	0.0895564
"work force"	0.0895246
"growth rate"	0.0887332
workforce	0.0880951
inventory	0.0872961
rate	0.0870272
profitability	0.0868851
population	0.0863338
funding	0.0861512
project	0.0856854
price	0.0853908
sale	0.0849436
flow	0.0849387
income	0.08481
operation	0.0846104
mechanism	0.0845876
management	0.0844283
Manpower	0.0838798
effectiveness	0.0836697
standard	0.0830336
increase	0.0829119
readiness	0.0827656
liquidity	0.082499
import	0.082284
development	0.082261
service	0.081553
availability	0.0812817
structure	0.0808677
sector	0.0807676
construction	0.0806415
energy	0.0806061
space	0.0802093
utilization	0.0801607
talent	0.0799966
requirement	0.0797565
effort	0.0793761
improvement	0.079321
"market share"	0.0791507
support	0.078788
function	0.0787696
density	0.0784042
competence	0.0779327
responsibility	0.0778429
reliability	0.0774676
asset	0.077338
employment	0.0773295
knowledge	0.0771121
budget	0.076394
profit	0.0762284
emission	0.0761349
willingness	0.0761073
"oil production"	0.0760869
expenditure	0.0758697
activity	0.0758074
access	0.0753475
network	0.0752699
saving	0.0752026
participation	0.0749014
commitment	0.0748472
product	0.0747682
financing	0.0745192
"water supply"	0.074337
GDP	0.0741882
environment	0.0741368
salary	0.0739514
fund	0.0739188
clout	0.0738479
economy	0.0737484
use	0.0736236
market	0.0734817
yield	0.0734696
confidence	0.0732571
stockpile	0.0732058
technique	0.073101
depth	0.0730146
"labor force"	0.072823
safety	0.0727149
earnings	0.0725846
allocation	0.0725505
interest	0.0725041
weight	0.0721228
program	0.0719896
spending	0.0717383
viability	0.0715543
shortage	0.0714513
role	0.0714202
credibility	0.071389
opportunity	0.0713195
expansion	0.0711519
assistance	0.0707988
difficulty	0.0706087
concentration	0.0704838
business	0.0703958
condition	0.0703533
"gross domestic product"	0.0699909
storage	0.0698228
know-how	0.0697695
area	0.0696473
quantity	0.0696437
experience	0.0694529
traffic	0.0694343
stability	0.0693579
industry	0.0692707
security	0.0692168
distribution	0.0692053
attendance	0.0689972
acreage	0.0689029
protection	0.0687822
performance	0.0684939
policy	0.068383
cargo	0.0683217
average	0.0682819
control	0.0682618
position	0.0679112
debt	0.0677877
determination	0.0677656
reputation	0.067753
transportation	0.0677162
problem	0.0677135
strategy	0.0674129
benefit	0.0672582
enrollment	0.0672234
unit	0.0670578
mileage	0.067023
shipment	0.0670175
desire	0.0667588
input	0.0667448
method	0.0663998
status	0.066349
"production cost"	0.0662027
"natural resource"	0.0661946
wealth	0.0660159
surplus	0.0659286
enterprise	0.0658824
reduction	0.0658745
transport	0.0658001
ratio	0.0657786
"tax revenue"	0.0657431
innovation	0.0656871
installation	0.0656765
deficit	0.0655055
risk	0.0654994
annual	0.0654958
transparency	0.0653696
trade	0.0652309
money	0.0651654
scope	0.0651467
cooperation	0.0650011
maintenance	0.0648525
tool	0.0647781
plant	0.0647698
pollution	0.0647152
electricity	0.0647132
fee	0.0646972
harvest	0.0646194
training	0.0645063
preparedness	0.064433
integrity	0.0641804
bottleneck	0.0640698
))
(capacity-building (desc 997.723) (sims
alleviation	0.108278
crime-fighting	0.08828
retraining	0.0770535
"European Bank for Reconstruction"	0.0751041
"vocational training"	0.0737037
decentralization	0.0713875
potentiality	0.0703699
peace-building	0.0694468
self-employment	0.0692803
democratization	0.0676163
"computer application"	0.0675616
reciprocity	0.0658886
sensitization	0.0643236
"nuclear energy"	0.0599212
"trade issue"	0.059822
decolonization	0.0588373
"tax incentive"	0.0584672
facilitation	0.0571507
"strategic planning"	0.056806
neighborliness	0.0568033
nation-building	0.0556496
urbanism	0.0555108
peace-keeping	0.0555102
"business relation"	0.0553784
consultancy	0.0551428
sufficiency	0.0546116
undersecretary-general	0.0545299
urbanization	0.0534796
complementarity	0.0533604
reemployment	0.0529403
fostering	0.0518894
subsistence	0.0514124
nonproliferation	0.0503885
"fire wall"	0.0495765
sustainability	0.0495691
good-neighborliness	0.0489078
"social assistance"	0.0486857
"vocational education"	0.0481725
"Health and Human Services"	0.0481303
"human factor"	0.0481028
confidence-building	0.0480525
"nursing care"	0.047696
"urban planning"	0.0476597
"extension service"	0.0467626
"conflict resolution"	0.0465449
healthcare	0.0465364
knowhow	0.0458093
splittism	0.0449225
"mass transit"	0.0446148
"grazing land"	0.044412
self-improvement	0.0442744
"service agency"	0.0440768
"planning board"	0.0440197
"community organizer"	0.0439221
"water right"	0.0436809
"road construction"	0.043615
"booking agent"	0.0434502
"hospital care"	0.0427767
childcare	0.0421945
desalination	0.0419822
"Sustainable Development"	0.0418149
"social activity"	0.0416466
"teaching method"	0.0415465
"co- operation"	0.0411982
"phone book"	0.041054
homeownership	0.0407218
))
(Capano (desc 3639.12) (sims
Neulander	0.192447
McGinn	0.18972
"Russell Peeler"	0.189088
Martorano	0.184072
Blackthorne	0.180781
Stayner	0.180491
Lacresha	0.172455
"Maturino Resendiz"	0.17054
Faulder	0.168803
Swango	0.165035
Kodikian	0.163891
Shulman	0.16162
Agca	0.156955
Berenson	0.152183
Kiareldeen	0.151367
Sheinbein	0.14991
Shipman	0.149124
Fagan	0.148567
Robison	0.14651
Skakel	0.143281
Hofer	0.142211
Siripongs	0.141582
Mease	0.141236
Cisneros	0.13993
Garza	0.138322
Symington	0.136588
Nikitin	0.13591
Bakaly	0.134275
Gotti	0.132563
Kimeses	0.131737
Shayler	0.131402
Hsia	0.130345
Falater	0.130185
Priebke	0.130159
Echegaray	0.129913
LeFave	0.128999
McVeigh	0.127873
Einhorn	0.127694
Jelisic	0.126914
"Louise Woodward"	0.12632
McDougal	0.126249
"Michael Skakel"	0.125961
Abernathy	0.125702
Abu-Jamal	0.124763
Mikhailov	0.124087
Markhasev	0.123765
peeler	0.12376
Manbar	0.12234
Soliah	0.121928
looper	0.121875
Karr	0.121563
Kaczynski	0.121519
KEVORKIAN	0.119489
Lazarenko	0.119066
Boesak	0.118533
Meskini	0.1164
"Ruiz Massieu"	0.116279
Trie	0.116218
Akayesu	0.115999
Faget	0.114739
Ng	0.11454
Karbaschi	0.114344
Hirschfeld	0.114217
hale	0.114061
Schwarz	0.113423
Jenoff	0.113299
Cusack	0.11324
Kimes	0.113105
DeBartolo	0.109076
Schmitz	0.109024
Gravano	0.109022
Ntuyahaga	0.108547
Carruth	0.108492
Livoti	0.108087
Deri	0.106842
Bisek	0.106321
Kehoe	0.105394
Hiett	0.105253
Mudge	0.105065
Papon	0.104907
Valenzuela	0.103246
Kambanda	0.103153
Steele	0.102964
Hensley	0.10291
furrow	0.102782
Zamora	0.102585
Flemmi	0.102328
Yoo	0.102133
Nathaniel	0.101257
Reimer	0.101128
Schweitzer	0.0999704
"Richard Ashby"	0.0993715
Woodward	0.0993332
Fortier	0.0988292
Grossberg	0.0988253
Vasquez	0.0981172
Pirro	0.097977
Pagones	0.0973577
Hage	0.0972303
Carneal	0.0969185
Bhutto	0.0966979
Winkler	0.096421
Bowers	0.0961149
Barrionuevo	0.0960196
"El Hage"	0.0958913
Gritz	0.0954249
Cruz	0.0947322
"Jack Kevorkian"	0.0946332
Maag	0.0940006
McKinney	0.0939804
Gutman	0.0936985
Tarver	0.0934558
Botha	0.0930002
Mehmet	0.0929446
Laudor	0.0929416
Maradona	0.092876
Sakic	0.0926003
Lundy	0.092508
"Maturino Resendez"	0.0909812
Ramsey	0.0906173
"Al Fayed"	0.0904439
Craxi	0.0904136
Haouari	0.0903123
leeson	0.0903074
Sheppard	0.0903038
Salinas	0.08992
Montiel	0.0892949
Arizmendi	0.0891425
Amedure	0.0885519
Sweeting	0.0883632
Ricart	0.0882072
Gauthe	0.0881918
Beckwith	0.0881895
Dahmer	0.087821
Espy	0.0877324
"Raul Salinas"	0.0876341
Jewell	0.0874765
Cao	0.0874267
Cheung	0.0873253
Ashbrook	0.0873227
Camacho	0.0871811
Kalejs	0.0870413
Moxley	0.0869136
Lileikis	0.0866486
Nasrin	0.0866187
Volpe	0.0863412
"Julie Hiatt Steele"	0.0859787
Elhage	0.0859303
McGill	0.0857042
Wiese	0.0856483
Blumenthal	0.0856155
Sebaggala	0.0856071
Nunez	0.0851255
Gangelhoff	0.0847234
workman	0.0846907
Mohamed	0.0845563
Dorismond	0.084527
Hersh	0.0843947
Imelda	0.0842103
Figueroa	0.0840851
Kurtz	0.083936
McIntosh	0.0834198
Spitzer	0.0832396
Schaeuble	0.0831375
"Cary Stayner"	0.0831219
Kazhegeldin	0.0830965
Francois	0.0829266
Tevanian	0.0826884
Lugo	0.0826002
"defense lawyers"	0.0822037
Andreas	0.0821755
"Angel Maturino Resendiz"	0.0821478
Mitnick	0.0821052
Mcbride	0.082084
Brawley	0.0820661
Anwar	0.0816298
Fassett	0.0816253
Babbitt	0.0811859
Daniels	0.0808765
D'Amico	0.0807488
Kinkel	0.0804445
Limon	0.0802251
khan	0.0800752
Gurule	0.0800482
Coe	0.0799808
Imperatori	0.0798689
Nichols	0.0798459
Giacchetto	0.0798412
Haughey	0.0797846
Whitacre	0.0793461
Colburn	0.0791885
Simpson	0.0790876
ex-husband	0.0790773
Jarrell	0.0789328
Khalil	0.0788642
McDuff	0.0788464
Padilla	0.0782959
Hamid	0.0782746
Cheng	0.0782738
Eichmann	0.0782714
))
(Cape (desc 19868.2) (sims
robe	0.134888
scarf	0.128725
tunic	0.118881
shawl	0.115342
overcoat	0.113094
coat	0.112754
jacket	0.111336
gown	0.109554
"feather boa"	0.108046
hat	0.107683
skirt	0.105105
sweatshirt	0.101423
sweater	0.101374
turban	0.10082
trouser	0.100318
raincoat	0.0989078
parka	0.0987414
vest	0.0984636
shirt	0.0984077
jumpsuit	0.098066
bandana	0.0979416
Poncho	0.0965487
dress	0.0957883
pant	0.0940304
knickers	0.0939001
headdress	0.0937294
legging	0.0934545
cloak	0.0930854
"evening gown"	0.091571
"trench coat"	0.0903855
beret	0.0902852
sandal	0.0902418
turtleneck	0.0899617
"cowboy hat"	0.0898233
BOA	0.0883464
wig	0.0870784
waistcoat	0.0870011
headband	0.0858886
"leather jacket"	0.0847814
"ski mask"	0.0843229
smock	0.0822362
boot	0.0815557
veil	0.0811663
fedora	0.0807346
yarmulke	0.0804525
T-shirt	0.0803161
apron	0.0800352
Bonnet	0.0799781
costume	0.0798621
bustier	0.0795272
slipper	0.0794614
blouse	0.0787447
halter	0.0786863
garb	0.0777843
"cowboy boot"	0.0769264
leotards	0.0768736
bodice	0.0765595
cardigan	0.0765337
caftan	0.0764662
"Cape Cod"	0.0762168
sunglasses	0.0757099
"baseball cap"	0.0748201
suspender	0.0747793
shoe	0.0742486
"fur coat"	0.0741496
necktie	0.0737038
"dark glasses"	0.0732954
pantsuit	0.0732515
wristband	0.0731925
"cocktail dress"	0.073163
pullover	0.0725731
"business suit"	0.0724168
collar	0.0722452
"hot pants"	0.0719396
jean	0.071211
tuxedo	0.0703088
sock	0.0702851
glove	0.069734
mask	0.0697195
"hard hat"	0.0690333
mitten	0.0689687
handbag	0.0688367
"evening bag"	0.0687591
tiara	0.0680533
pajama	0.0680042
cloth	0.0673358
sneaker	0.0673339
bandanna	0.0665895
"evening dress"	0.0664378
Sash	0.0663076
"pants suit"	0.06625
earring	0.0661046
"bow tie"	0.0656193
jersey	0.0654834
"rubber boot"	0.0653269
kimono	0.0648781
bunting	0.0648485
tights	0.0647029
Sari	0.0645266
"top hat"	0.0642805
frock	0.064099
"military uniform"	0.0639422
blazer	0.0637389
corset	0.0634475
kilt	0.0630903
sleeve	0.0629668
bikini	0.0627914
sheath	0.0618634
helmet	0.0618271
sarong	0.0617963
Outfit	0.0616136
ribbon	0.0615989
bodysuit	0.0613935
bra	0.061178
blanket	0.0609054
windbreaker	0.0606892
bracelet	0.0605679
"polo shirt"	0.0604176
slicker	0.0602154
necklace	0.059901
goggles	0.0597964
stocking	0.0596919
"ball gown"	0.0592277
"bowler hat"	0.0591735
uniform	0.0590727
armband	0.0590584
pigtail	0.0589946
headgear	0.0586906
velvet	0.0583542
"straw hat"	0.0583026
Clothing	0.0579529
"tennis shoe"	0.0578688
towel	0.0577949
choker	0.0577096
skullcap	0.0577076
trousers	0.0576888
coverall	0.0574256
"blue jean"	0.057367
goatee	0.0572944
"bathing suit"	0.057006
pants	0.0568511
mustache	0.0567704
Beard	0.0563124
bathrobe	0.0562048
getup	0.0561262
loafer	0.0559861
miniskirts	0.0557841
belt	0.0557432
Hood	0.0557416
slack	0.0547004
"black tie"	0.0541945
fur	0.0535183
finery	0.0533788
"life jacket"	0.0532916
vestment	0.0530564
"sweat pants"	0.0529041
backpack	0.0528037
fabric	0.0527376
hair	0.0526402
Thong	0.0525095
miniskirt	0.0523233
"sports jacket"	0.0521228
camouflage	0.0517274
chap	0.051697
stole	0.0513062
camisole	0.051223
bellbottoms	0.0511234
streamer	0.0510673
muffler	0.0504025
"nail polish"	0.0498867
tux	0.0498795
stripe	0.0498296
bag	0.0498095
regalia	0.0495327
"Long Island"	0.0493569
duster	0.0492236
nightgown	0.0490651
chiffon	0.0487787
underwear	0.04872
STETSON	0.0486434
sequin	0.0485062
silk	0.0483303
cuff	0.0481527
Nantucket	0.0477603
satin	0.0477559
"bulletproof vest"	0.0475584
"Staten Island"	0.0475338
"Miami Beach"	0.046572
undershirt	0.0465475
lipstick	0.0465095
dreadlocks	0.0463751
ponytail	0.0461361
attire	0.0459672
leather	0.0455771
pinstripes	0.0452673
bead	0.0451891
pajamas	0.0450448
tablecloth	0.0450428
umbrella	0.044965
armor	0.0449343
))
("Cape Canaveral" (desc 8574.75) (sims
"Kennedy Space Center"	0.234132
Baikonur	0.220788
cosmodrome	0.153325
"French Guiana"	0.113691
"Newark International Airport"	0.0897534
"John F. Kennedy International Airport"	0.0869244
"West Palm Beach"	0.0863579
"Kennedy International Airport"	0.0817487
"Miami International Airport"	0.0792367
"Logan International Airport"	0.0787156
"Ben-Gurion Airport"	0.0738386
"Key West"	0.0706901
TALLAHASSEE	0.0704032
Tampa	0.069383
"Vero Beach"	0.0663537
"Heathrow Airport"	0.0645394
"Kennedy Airport"	0.0643742
Sarasota	0.0634224
Pensacola	0.0633639
"Los Angeles International Airport"	0.0626159
Gainesville	0.0624437
"San Salvador"	0.0615853
"Daytona Beach"	0.0615426
Stansted	0.0611819
Clearwater	0.0605866
Lhokseumawe	0.0588129
"Andrews Air Force Base"	0.0584877
"Daytona International Speedway"	0.0573557
Bradenton	0.0572703
"Diamond Mountain"	0.0567039
"Dade County"	0.0564514
"Fort Lauderdale"	0.0561896
airbase	0.0556256
Naples	0.055177
"Lake Worth"	0.054442
"Capital Airport"	0.0542007
Orlando	0.0537436
"Delray Beach"	0.0531834
"Kai Tak"	0.05317
"Central Asia"	0.0529032
"Hartsfield International Airport"	0.052193
Kissimmee	0.0519551
"Dulles International Airport"	0.0509456
Kazakstan	0.0509434
"Panama City"	0.0506991
Dodgertown	0.0502861
Charleston	0.0501078
"Fort Myers"	0.0491261
"Pennsylvania Station"	0.0487324
"launch pad"	0.0485976
"St. Petersburg"	0.0479776
Hempstead	0.0479092
"U.N. Headquarters"	0.0471007
Nassau	0.0468107
"Hong Kong International Airport"	0.0464642
TEGUCIGALPA	0.046457
"SIERRA BLANCA"	0.046396
Norfolk	0.0462316
Djakovica	0.0461104
"Florida Keys"	0.0457216
Acapulco	0.0456549
BOGOTA	0.044807
Jacksonville	0.0446232
Sunrise	0.044524
"air base"	0.0444562
"La Guardia Airport"	0.0442839
"Chek Lap Kok"	0.0442583
"Broward County"	0.0440725
Reykjavik	0.0440296
TRENTON	0.0439862
"Camp LeJeune"	0.0438447
"Mexico City"	0.0436443
Murmansk	0.0434956
"Des Moines"	0.0434713
Bermuda	0.0430862
"Key Biscayne"	0.0430022
Istanbul	0.0429693
Tripoli	0.0429274
"Gaza City"	0.0429192
Kandahar	0.0426036
Stormont	0.042304
"Logan Airport"	0.0422197
Wilmington	0.042098
"Palm Beach"	0.0418911
Katmandu	0.0417995
"United Center"	0.0417876
"San Francisco International Airport"	0.0417796
"Texas Stadium"	0.0416399
O'Hare	0.0413372
airfield	0.0412618
"local time"	0.0411105
"Johnson Space Center"	0.0411062
"Omaha Beach"	0.0409542
"Eagle Pass"	0.0408908
Alexandria	0.0407424
Memphis	0.0406658
"Oklahoma City"	0.0401684
))
("Cape Cod" (desc 12765.2) (sims
Nantucket	0.161573
Vineyard	0.134329
"Long Island"	0.116124
"Miami Beach"	0.0916941
"New Bedford"	0.0861123
"Staten Island"	0.0838662
Hyannis	0.0810514
Malibu	0.080152
Gloucester	0.0781428
Maine	0.0772352
Cape	0.0762168
Florida	0.0759574
hilltop	0.0758569
shore	0.0756781
coast	0.0754951
"Outer Banks"	0.0752068
"Fall River"	0.0743533
Oahu	0.073113
lakeside	0.0730182
"East Coast"	0.0703901
Hamptons	0.0694192
"Nova Scotia"	0.0694034
"West Palm Beach"	0.069367
Massachusetts	0.0679574
"Lake Michigan"	0.067826
"Hyannis Port"	0.0660513
"Key West"	0.0647025
Hispaniola	0.0632769
"Chesapeake Bay"	0.0628913
"New Jersey"	0.0626707
Hawaii	0.0625551
Brockton	0.062498
Alaska	0.0622256
Delaware	0.0621002
"Baja California"	0.0620953
Virginia	0.0619739
kibbutz	0.0617994
"Hainan Island"	0.0617395
Westchester	0.061272
"North Carolina"	0.0610347
"Rhode Island"	0.0609727
"South Florida"	0.0609591
Bahamas	0.0607235
"Fort Lauderdale"	0.0606119
Maryland	0.060438
"Lake Worth"	0.0600969
oceanfront	0.0598072
Pennsylvania	0.0595063
Springfield	0.0589475
lakefront	0.0586726
"Eastern Shore"	0.0585834
"Upper West Side"	0.0583047
"Palm Beach"	0.0579092
Woburn	0.0576015
"Black Sea"	0.0573107
"New England"	0.0570511
"Woods Hole"	0.0569769
Stockbridge	0.0566289
Carolinas	0.0561774
Maui	0.0561247
"Westchester County"	0.0560586
Vermont	0.0560088
Cambridge	0.0559666
Borneo	0.0557746
"Dead Sea"	0.0554726
Falmouth	0.0554579
Normandy	0.0550912
ranch	0.0547665
"Hudson Valley"	0.054728
Newfoundland	0.0546993
"Puerto Rico"	0.054629
Manhattan	0.0543378
Pittsfield	0.0543302
"Lake Ontario"	0.0541242
"St. Croix"	0.0541182
"South Shore"	0.0539614
"North Island"	0.0538987
Guadeloupe	0.0538412
"East Hampton"	0.0533358
Provincetown	0.0531589
Braintree	0.0531291
Easton	0.0530962
"Florida Panhandle"	0.0530232
Sicily	0.0526441
"Southern California"	0.0525685
Oregon	0.0523808
"Lake Erie"	0.0522527
peninsula	0.0521589
Worcester	0.0520453
"Des Moines"	0.0518442
Ashland	0.0517857
Connecticut	0.0516433
"Mississippi River"	0.0516367
Brookline	0.0515215
"New Mexico"	0.0515008
"Lower East Side"	0.0514343
"St. Petersburg"	0.0512181
"Santa Barbara"	0.0510387
"New Haven"	0.050977
Newport	0.0508577
Mediterranean	0.0507881
mountaintop	0.0507875
Greenland	0.050463
riverside	0.0503146
"east side"	0.0502754
"Las Vegas"	0.0502649
"West Coast"	0.0497795
"Yucatan Peninsula"	0.049617
Greenwich	0.0495191
"Northern California"	0.0493991
CANCUN	0.0493109
"west side"	0.049309
Bengkulu	0.048874
"Pacific Coast"	0.0488462
"Newport Beach"	0.0486927
Bermuda	0.0486585
Burlington	0.0486504
Rochester	0.0485658
"Upper East Side"	0.0483226
Wilmington	0.0483212
"New Hampshire"	0.0483128
beachside	0.0481403
Cornish	0.0480585
Montana	0.0480516
Concord	0.0480179
"Potomac River"	0.0480107
Crete	0.0478876
beachfront	0.0478708
Hartford	0.0476596
Ohio	0.0475926
Tampa	0.0475639
Tucson	0.0475383
isle	0.0475025
Charleston	0.0474474
Somerville	0.0474425
Chatham	0.0473546
"Lake Tahoe"	0.0473223
Roxbury	0.0470951
Ipswich	0.0469144
Guadalcanal	0.0468924
"South America"	0.046661
Chappaqua	0.0466526
Okinawa	0.0466519
hillside	0.0466195
"Florida Keys"	0.046571
Baja	0.0465194
"Fort Worth"	0.0464497
"Gulf Coast"	0.0463764
Savannah	0.0461199
TALLAHASSEE	0.0459349
Bridgehampton	0.0459149
Adirondacks	0.0458859
Mullaitivu	0.0457899
Carthage	0.0457066
Ojai	0.0455989
"cattle ranch"	0.0455891
"Palm Springs"	0.0455547
"South Carolina"	0.0455283
"San Fernando Valley"	0.0454931
oceanside	0.0453492
Naples	0.0453465
Northampton	0.0453345
Dorchester	0.0452074
waterfront	0.0451796
"Cape Fear"	0.0450964
"Marin County"	0.0450956
"Santo Domingo"	0.0450348
"Beacon Hill"	0.0450137
Louisiana	0.0449295
Idaho	0.0448716
Belfast	0.0448565
"East End"	0.0448413
BRIGHTON	0.0448259
"Suez Canal"	0.0447174
"Atlantic City"	0.0447011
clapboard	0.0443989
Monterey	0.0443855
Mississippi	0.0443459
"South Texas"	0.0443401
"south side"	0.0443337
Berkshires	0.0442726
Antarctica	0.0442576
cul-de-sac	0.0440315
"Fifth Avenue"	0.0433743
Flagstaff	0.0433598
Acapulco	0.0433519
Providence	0.0432552
Peabody	0.0432212
"Hong Kong Island"	0.0432058
Brooklyn	0.0431491
mountainside	0.0431453
Framingham	0.0429149
Auckland	0.0427458
Adriatic	0.0426615
Catskills	0.0425523
"Orange County"	0.0423655
Soweto	0.0423116
Macon	0.0422987
anchorage	0.0422472
"San Juan"	0.0421912
))
("Cape Fear" (desc 1411.86) (sims
Rhine	0.123894
"Research Triangle Park"	0.120872
"Pitt County"	0.112245
Tigris	0.109084
"Thomas Crown Affair"	0.106838
"Camp LeJeune"	0.10153
"Yucatan Peninsula"	0.100615
Seine	0.10021
"Mighty Joe Young"	0.0999099
TARBORO	0.0996522
Euphrates	0.0992731
Chattahoochee	0.0990727
"Vancouver Island"	0.0983386
Huaihe	0.0963254
Winston-Salem	0.0955529
"Fantasy Island"	0.0931421
"Kitty Hawk"	0.0929226
Mullaitivu	0.0928851
"Fort Bragg"	0.089119
Nenjiang	0.0881353
Wilmington	0.086754
ASHEVILLE	0.0863528
Borneo	0.084287
"Parent Trap"	0.0835399
Raleigh	0.0833835
"Dead Sea"	0.0829873
Songhua	0.0824116
Mekong	0.0818482
Liaohe	0.0791594
"Red River"	0.0763003
"Red Sea"	0.0761339
"Rio Grande"	0.0753299
Nen	0.0740875
Hispaniola	0.0739044
"North Island"	0.0736149
"Lake Michigan"	0.0735951
"Rocky Mount"	0.0735619
Greensboro	0.0716928
"Manila Bay"	0.0715844
Pecos	0.0703294
hickory	0.0701815
Chesapeake	0.0699987
"Chapel Hill"	0.0682706
"High Point"	0.0681943
Cornelius	0.0678959
"Hainan Island"	0.0673429
Mankulam	0.0667561
Harrisburg	0.0658555
Pinehurst	0.0654802
"Pearl River"	0.0654084
"Mediterranean Sea"	0.0647137
Shreveport	0.0646902
Durham	0.0637858
Salisbury	0.0637522
Princeville	0.0636958
"Sinai Peninsula"	0.0636742
"Baja California"	0.0619827
Luzon	0.061574
"Jordan River"	0.0614437
Thomasville	0.0605074
Redding	0.0598714
"San Pedro"	0.0581945
"Arabian Peninsula"	0.0579717
Adriatic	0.0579014
Oahu	0.0578329
"Lake Okeechobee"	0.0572147
Sanford	0.0568748
"Got Mail"	0.0566864
"white line"	0.0562002
"Ohio River"	0.0558874
Fayetteville	0.0555993
"South China Sea"	0.0550293
"Mount Pleasant"	0.0544981
"Big Sur"	0.0543646
"Fort Lauderdale"	0.0542992
Ganges	0.0541947
"San Francisco Bay"	0.0539208
"Twin Cities"	0.0538957
"Suez Canal"	0.053689
"East China Sea"	0.0533249
"Golden Gate Bridge"	0.0533143
Lijiang	0.0531892
Nago	0.0531437
Smithfield	0.0530188
"Black Sea"	0.0527488
"Congo River"	0.0527224
"Demilitarized Zone"	0.0526975
"Missouri River"	0.0524695
Seltzer	0.0524384
Potomac	0.052356
Djakovica	0.051964
Dolittle	0.0518411
Camden	0.0516798
"Connecticut River"	0.0512351
"pedestrian bridge"	0.0508686
"Suva Reka"	0.0505328
Paranthan	0.0503276
"Bohai Bay"	0.0502576
Rhone	0.05013
Rockingham	0.0500379
"Mississippi River"	0.049329
Decani	0.0490809
Cumberland	0.0490416
Juba	0.0487794
Isthmus	0.0487508
"English Channel"	0.0487
"Port Moresby"	0.0485709
Plattsburgh	0.0484754
"Bay of Bengal"	0.0484686
"Puget Sound"	0.0483204
Beaufort	0.0480747
Newfoundland	0.0478725
"Hong Kong Island"	0.0477991
"North Atlantic"	0.0477667
"Arabian Sea"	0.0474299
Hillsborough	0.0474141
"Hill Country"	0.0470006
"torpedo boat"	0.0469662
Labrador	0.0468691
"Yellow Sea"	0.0466687
Puglia	0.0466446
"Dongting Lake"	0.0461495
"Love Boat"	0.0460615
Xin	0.046014
"Sea of Japan"	0.0459758
Trincomalee	0.0458129
Nivel	0.0453922
Yakima	0.0453445
"finishing line"	0.0452975
"Leeward Islands"	0.0452163
frontlines	0.0452122
Nile	0.0450832
"French capital"	0.0449842
trestle	0.044874
Tarim	0.0447802
"Anlong Veng"	0.0447567
"Taklimakan Desert"	0.0446265
"Northern Territory"	0.0444175
"Chesapeake Bay"	0.0443454
moat	0.0441876
"Caspian Sea"	0.0440595
"Huaihe River"	0.0438133
Thames	0.0434912
verde	0.0432795
Yuma	0.0431685
Rubicon	0.042983
"Kenyan shilling"	0.0426674
"UNIX operating system"	0.0425897
Liao	0.042501
"Eastern Cape"	0.0424487
"Guatemala City"	0.0424427
Whitehall	0.0419423
brook	0.0419375
Ensenada	0.0419269
"Huangpu River"	0.041861
Lhokseumawe	0.0417112
"Nile River"	0.0417007
"Arctic Circle"	0.0414312
Assab	0.0411923
"Lake Tanganyika"	0.0411571
Jayapura	0.0411485
"Great Expectations"	0.0410041
Martinsville	0.0409833
"Bohai Sea"	0.0409122
Guadalupe	0.040721
"grizzly bear"	0.0406486
Casas	0.0406176
"Myrtle Beach"	0.0403458
"paper cup"	0.0401412
footbridge	0.0401165
Taloqan	0.0400983
))
("Cape Town" (desc 26135.9) (sims
Pretoria	0.247498
Durban	0.205132
JOHANNESBURG	0.19271
Windhoek	0.185113
"Tel Aviv"	0.169878
HARARE	0.169832
LISBON	0.167766
Istanbul	0.166562
"Buenos Aires"	0.160715
Nairobi	0.159847
Havana	0.159411
Lusaka	0.158125
Helsinki	0.158045
Belfast	0.157667
Luanda	0.153267
ATHENS	0.152513
Gaborone	0.152093
MAPUTO	0.151294
"Kuala Lumpur"	0.150984
Dublin	0.15045
"Mexico City"	0.14911
BRUSSELS	0.148565
Algiers	0.14786
Rome	0.146709
Beirut	0.145577
CAIRO	0.145337
BOGOTA	0.145272
Accra	0.143845
Auckland	0.143657
LONDON	0.143543
SEOUL	0.142705
KAMPALA	0.142594
Tripoli	0.142525
Madrid	0.142365
Riyadh	0.142121
Abuja	0.141468
"San Juan"	0.141198
Paris	0.140657
Geneva	0.140395
COLOMBO	0.139372
STOCKHOLM	0.138451
MELBOURNE	0.138442
Bangkok	0.136938
Pristina	0.136912
Moscow	0.136162
Amman	0.135802
Dushanbe	0.135719
Kigali	0.134988
Tokyo	0.134845
"St. Petersburg"	0.134667
BUCHAREST	0.134431
KIEV	0.134378
Prague	0.13397
Lahore	0.133871
Monrovia	0.133512
Berlin	0.133198
Manila	0.132896
Skopje	0.1328
Vienna	0.132774
Tehran	0.132541
"Phnom Penh"	0.132251
Sarajevo	0.132062
Tbilisi	0.131976
SOFIA	0.131892
CARACAS	0.131631
Jakarta	0.131343
Oslo	0.131053
"Dar es Salaam"	0.129524
"Addis Ababa"	0.129155
"Sao Paulo"	0.129096
Santiago	0.128958
"New Delhi"	0.128517
Islamabad	0.127467
Zurich	0.127462
BEIJING	0.126851
ZAGREB	0.126222
Maseru	0.126036
Lagos	0.126011
DHAKA	0.125973
Mbabane	0.125769
WARSAW	0.12524
Tashkent	0.12504
Munich	0.125031
Dili	0.124875
Gaza	0.124151
Kinshasa	0.124101
Bonn	0.123468
BUDAPEST	0.123062
"Guatemala City"	0.122836
Karachi	0.122443
ANKARA	0.121625
Sydney	0.121597
"San Salvador"	0.121215
Baku	0.121082
Minsk	0.120838
Ramallah	0.11956
Asmara	0.118564
Kabul	0.118462
"Rio de Janeiro"	0.118093
Lima	0.117793
Damascus	0.117128
Amsterdam	0.117091
Seville	0.116656
TIRANA	0.115437
Freetown	0.115091
Copenhagen	0.114699
BELGRADE	0.114633
Abidjan	0.114428
"Banja Luka"	0.114425
"St Petersburg"	0.11409
Baghdad	0.113696
HANOI	0.113624
Khartoum	0.113416
Jeddah	0.113022
Strasbourg	0.112943
Rabat	0.112886
TEGUCIGALPA	0.112842
Frankfurt	0.111961
Bombay	0.111367
"Santo Domingo"	0.111357
Managua	0.11096
Quito	0.110901
Bujumbura	0.110709
Duesseldorf	0.110447
Arusha	0.10989
"La Paz"	0.109548
Lome	0.109359
Doha	0.109027
YANGON	0.108718
Naples	0.108023
Srinagar	0.107938
"Port Elizabeth"	0.107508
Cartagena	0.107235
Asuncion	0.107107
Milan	0.106869
Lausanne	0.106746
"Ho Chi Minh City"	0.106642
BRASILIA	0.105861
Osaka	0.105782
Albany	0.105528
Bissau	0.105466
Kandahar	0.105385
Vientiane	0.105013
TUNIS	0.105
Acapulco	0.104434
Alexandria	0.10435
"Little Rock"	0.104343
JERUSALEM	0.103836
Vilnius	0.10377
MANAMA	0.103524
Hamburg	0.102888
Vancouver	0.102709
Peshawar	0.102306
PALERMO	0.102067
Lille	0.102
Suva	0.101767
"Los Angeles"	0.101648
Grozny	0.10158
Mogadishu	0.101522
Yerevan	0.101435
Calcutta	0.101409
Taipei	0.100892
Turin	0.100861
Mombasa	0.100406
Montreal	0.0991474
Florence	0.0991084
Murmansk	0.0987845
Toronto	0.0983727
NICOSIA	0.0981235
Manchester	0.097962
"Egyptian capital"	0.0977627
Charleston	0.0977101
Muscat	0.0971987
Birmingham	0.0971789
Washington	0.0971228
"New Orleans"	0.0971169
"San Francisco"	0.0966655
DUBAI	0.0963445
Bamako	0.0958669
Barcelona	0.0955738
Minneapolis	0.0951607
Honolulu	0.0950132
Edinburgh	0.0949322
"Las Vegas"	0.0947647
Vladivostok	0.0945048
"New York"	0.0942971
SANAA	0.0940735
"Oklahoma City"	0.0938672
Port-au-Prince	0.0937494
Bern	0.0936422
Tampa	0.0932482
Cardiff	0.0932357
Perth	0.0930845
Tucson	0.0926136
Dodoma	0.0925811
Wellington	0.0925595
Bishkek	0.092187
"Quebec City"	0.0920757
"Gaza City"	0.0915889
"Gaza Strip"	0.0912661
))
("Cape Verde" (desc 6438.68) (sims
"Sao Tome and Principe"	0.277481
Niger	0.270868
Mali	0.261544
Gabon	0.227053
Comoros	0.220035
"Equatorial Guinea"	0.215751
"Guinea Bissau"	0.209753
Gambia	0.207575
Benin	0.200693
Mauritania	0.197059
Madagascar	0.191008
Togo	0.190099
Chad	0.186007
"Central African Republic"	0.183229
Senegal	0.183154
Mozambique	0.179145
Guinea-Bissau	0.178819
"Burkina Faso"	0.177574
Seychelles	0.17527
Guinea	0.174567
Ghana	0.174396
Mauritius	0.164069
Cameroun	0.162484
Djibouti	0.161867
Malawi	0.161048
"Ivory Coast"	0.150614
Botswana	0.147666
Namibia	0.146921
Liberia	0.140509
Cameroon	0.134835
Angola	0.132064
Surinam	0.128685
"Democratic Congo"	0.127648
Swaziland	0.125037
Vanuatu	0.125036
Guyana	0.124724
"Republic of Congo"	0.123741
Zimbabwe	0.120706
"Sierra Leone"	0.115982
Burundi	0.114709
Congo	0.111585
Zambia	0.110586
Algeria	0.110162
Yemen	0.109069
Tunisia	0.108494
Kiribati	0.10836
Nigeria	0.108331
Maldives	0.108206
Ethiopia	0.107071
Portugal	0.105918
Lesotho	0.105829
Kyrgyzstan	0.103606
Tanzania	0.103009
"Congo Republic"	0.102087
Mongolia	0.10167
Luxemburg	0.101429
Sudan	0.101425
Uganda	0.100581
Oman	0.0982894
Malta	0.0982354
Kenya	0.0978057
Zaire	0.0967412
Rwanda	0.0959928
Morocco	0.0953934
"Trinidad and Tobago"	0.093635
"Papua New Guinea"	0.0929838
"Antigua and Barbuda"	0.0924482
"United Arab Emirates"	0.0917918
Bolivia	0.0882031
Slovenia	0.0881708
PNG	0.0878848
Luxembourg	0.0871187
Guatemala	0.086862
Palau	0.0868219
Laos	0.0867613
Egypt	0.0866504
Uruguay	0.0865802
"Central Africa"	0.0864671
Eritrea	0.0857855
Brunei	0.0855674
Nicaragua	0.0851534
Bangladesh	0.0840955
"El Salvador"	0.0837298
Moldova	0.0837045
Azerbaijan	0.0827423
ROK	0.0823713
Hungary	0.0819326
Iceland	0.0818595
UAE	0.0814261
"Costa Rica"	0.0809506
Barbados	0.0809004
Kazakhstan	0.0808342
Cambodia	0.080406
Bahrain	0.0796868
Bulgaria	0.0794362
"Democratic Republic"	0.0786517
Qatar	0.0786422
"Republic of Korea"	0.0783852
Uzbekistan	0.0771502
TUNIS	0.076786
Ecuador	0.0766753
Honduras	0.0765222
"South American country"	0.076259
Finland	0.0760266
Turkmenistan	0.0759342
Kirghizstan	0.0756437
"African country"	0.0753604
"United Kingdom"	0.0752835
Haiti	0.0752514
Ukraine	0.0742199
Sakhalin	0.0737528
Lithuania	0.0735627
Philippines	0.0733961
"Democratic Republic of the Congo"	0.0733381
Grenada	0.0733278
Batam	0.0727767
Dominica	0.0727746
"Western Sahara"	0.0727689
Peru	0.0726314
Libya	0.0718878
Zanzibar	0.0717289
Tonga	0.0715826
Maltese	0.071579
Suriname	0.0714843
"Solomon Islands"	0.0711215
"Dominican Republic"	0.0710097
Somalia	0.0709091
"South Vietnam"	0.0707926
Armenia	0.0706747
Tadzhikistan	0.070606
Poland	0.0705953
Chile	0.0703412
"Sri Lanka"	0.0703349
Venezuela	0.070235
Sipadan	0.0700218
Panama	0.0699976
"Viet Nam"	0.0697359
Tuvalu	0.0696352
Romania	0.0696244
Belize	0.0693845
Jamaica	0.0693404
Latvia	0.0689358
"Great Britain"	0.0686931
"Netherlands Antilles"	0.0686179
DPRK	0.0682459
"Cook Islands"	0.0681379
Bhutan	0.0675455
Estonia	0.0673537
Fiji	0.0673095
Solomons	0.0664616
Nepal	0.0655277
"People's Republic of China"	0.065235
"New Zealand"	0.0650712
"Lower Saxony"	0.0646906
Somaliland	0.0641884
DRC	0.0634166
Tajikistan	0.0630291
Paraguay	0.0626609
"Saudi Arabia"	0.0618978
"San Marino"	0.0618302
Ivoire	0.0617949
"Federal Republic"	0.0616422
Argentina	0.0615484
Myanmar	0.0615029
"Democratic People's Republic of Korea"	0.0613376
Kuwait	0.061104
Belarus	0.0610826
Ireland	0.060855
"African nation"	0.0608235
Nauru	0.0606903
Czechoslovakia	0.0597731
Norway	0.0597549
"St. Kitts and Nevis"	0.0596293
Riyadh	0.0595978
Slovakia	0.0593052
Cyprus	0.058602
Tanganyika	0.0585583
"Rio Group"	0.058468
Bahamas	0.0584256
"West Germany"	0.0584167
Burma	0.0578157
Bavaria	0.0573349
Kazakstan	0.0572852
"South Atlantic"	0.0567973
Korea	0.0562238
"Group of @@"	0.0560605
ZHOUSHAN	0.0559447
Hainan	0.0557161
Belgium	0.0555736
CPAFFC	0.0552427
Croatia	0.0552398
Macau	0.0549946
Phuket	0.0548755
"San Salvador"	0.0547812
Switzerland	0.0545225
MANAMA	0.0544391
"Asian country"	0.0544109
Newfoundland	0.0540811
Sweden	0.0540335
"D.R Congo"	0.0538996
))
(Capel (desc 987.224) (sims
Cortines	0.124889
Samuelson	0.1239
Croshere	0.109947
Devers	0.109806
Boldon	0.108243
Fredericks	0.103619
Dawes	0.103321
Geiger	0.101019
Sautin	0.100567
Krayzelburg	0.0999708
Kagwe	0.0981588
STALEY	0.0968388
Smits	0.096785
Rahal	0.0934706
Audette	0.0921958
Andreychuk	0.0919876
Rusch	0.0912995
Mullin	0.0900568
"Bafana Bafana"	0.0896962
Fizer	0.0887005
Stackhouse	0.087838
Hornacek	0.0876381
Szabo	0.0875051
Nicol	0.0871454
McCabe	0.086954
Lindland	0.0843608
Herta	0.084175
Fleisher	0.0841649
Takahashi	0.0833698
"Earnhardt Jr."	0.0833626
Diouf	0.0826615
Summitt	0.0823309
Loroupe	0.0820924
McKnight	0.0819097
Lieberthal	0.081866
Solis	0.0812464
Verney	0.0803496
Ruehe	0.0801281
Nedved	0.0799234
Hendrickson	0.0799177
Nesby	0.0794318
Berasategui	0.0793382
bock	0.078744
Najera	0.0784814
Solich	0.0775629
Maloney	0.077233
Perisho	0.0769705
Khannouchi	0.076806
Kukoc	0.0764353
Cink	0.0761223
"El Guerrouj"	0.075927
Murrell	0.0758747
Jansher	0.0756622
Laudrup	0.0753677
"first pitcher"	0.0753525
Maruyama	0.0752304
K-State	0.0749534
Vasser	0.0747912
Lassiter	0.0746403
Brees	0.0744189
Longo	0.074048
Butyrskaya	0.0740189
Winn	0.0736957
"La Russa"	0.0731535
Biffle	0.0731495
Perec	0.0728939
Kipketer	0.0727904
"Li Xuemei"	0.0721744
Desormeaux	0.0713828
Klim	0.0712913
Sheehan	0.0712287
Godina	0.0710016
Conte	0.0709733
Marineau	0.0709653
Guerra	0.0705747
Safin	0.0705123
Gogel	0.0704701
Santoro	0.0704065
"Favorite Trick"	0.0703324
Edberg	0.0701611
Medvedev	0.0700677
Sahadi	0.0700597
Adkins	0.0700333
"Partizan Belgrade"	0.0697821
Stoudamire	0.0695856
Cabrera	0.0695516
"American Chanda Rubin"	0.069466
"Chevrolet Monte Carlo"	0.0693556
Hornaday	0.0692
"Regina Jacobs"	0.0691188
Crowley	0.069062
"Deon Hemmings"	0.0690488
Inman	0.0690119
Cui	0.0688918
Aoki	0.0688886
Maggert	0.0687783
Wheatley	0.0687449
Trepagnier	0.068739
Vidro	0.0687137
Boilermakers	0.0685497
Moceanu	0.0682756
Stadler	0.0680033
"Rik Smits"	0.0679356
Kenseth	0.067902
Mikhailov	0.0678517
Michaels	0.0678399
Fleischer	0.0677548
Heinze	0.0677175
Deportivo	0.0676526
Makinen	0.0676436
McInnis	0.0673936
"Banshee Breeze"	0.0673476
Artest	0.0672086
"Chris Gomez"	0.0671606
Hawkeyes	0.0671498
"Albert Portas"	0.0671208
Laperriere	0.0669684
Bustamante	0.0669337
Waltrip	0.0668806
Antley	0.0668755
O'Malley	0.0668181
Chebet	0.066721
Ito	0.0667173
Milbury	0.0665726
"Touch Gold"	0.0665639
Moseley	0.0665289
Cipollini	0.0664652
Bergkamp	0.066264
Schmitt	0.0661732
Sanchez-Vicario	0.0661076
Mashburn	0.0659672
Heinrichs	0.0657279
Unser	0.0656473
El-Amin	0.0654794
Briscoe	0.0647301
Rossotti	0.0646904
Ochoa	0.0646286
Greer	0.0643178
Griese	0.0642956
Iverson	0.0642537
Av	0.0642344
"Mark Jackson"	0.0642101
Aguirre	0.0640204
Mayweather	0.0639697
Hauser	0.0639483
"World News Tonight"	0.0638959
Fedorov	0.0638504
Dragila	0.0637497
Popov	0.0637303
Magee	0.0636628
"Running Stag"	0.0636429
"Winning Colors"	0.0635953
cager	0.0635785
Obilic	0.0635518
"Yu Zhuocheng"	0.0635428
Aleman	0.0635226
Raoux	0.0635184
Ftorek	0.0634936
Garrity	0.0633847
Soyinka	0.0632694
Szczerbiak	0.0632624
Kirkpatrick	0.063234
"Buster Douglas"	0.0631947
"Fighting Irish"	0.0630958
Mayfair	0.0630854
Langdon	0.0630435
O'Sullivan	0.0630364
Dunleavy	0.0628935
Voskuhl	0.062853
Atler	0.0627749
Meissnitzer	0.0624792
Mendez	0.0624527
Woodson	0.0623457
Meriwether	0.0622267
Lacroix	0.0621681
Horry	0.062037
"Derek Fisher"	0.0620043
Parris	0.0619872
"Desert Hero"	0.0619853
"Velez Sarsfield"	0.0618835
Ruggiero	0.061792
Kwan	0.0617845
JOYNER	0.061765
Barrie	0.0617572
Heyns	0.0616379
Labonte	0.061619
Danner	0.0615942
Zambrano	0.0615782
Arron	0.0615641
"Tar Heels"	0.06152
Clements	0.061495
Jauron	0.0614931
Hatcher	0.0614128
Hiddink	0.0614076
Gustafsson	0.0612691
Coetzer	0.061258
Halard-Decugis	0.061245
Tsvangirai	0.0612355
Millar	0.0612349
Cienfuegos	0.0610375
))
(capella (desc 943.374) (sims
cappella	0.3884
Iger	0.125146
Daft	0.120927
Harmoko	0.120347
Sheehan	0.117638
Milbury	0.117182
Singson	0.111259
Ruehe	0.105116
Aventajado	0.100337
Echols	0.100076
Fiorina	0.0985349
Ftorek	0.0982638
Aliotti	0.0975204
Steiner	0.0960414
Verney	0.0952659
Beazley	0.0947459
Rongen	0.0929669
Jauron	0.0926323
Spielman	0.0924228
Sato	0.0922099
"Krishna Prasad Bhattarai"	0.0918177
Dodik	0.0916485
Pasha	0.0914941
Skiles	0.0912728
Rodionov	0.0909919
Neff	0.0904488
Wagoner	0.0903166
McDonnell	0.0902065
Braswell	0.0901944
Zambrano	0.0899729
Iliescu	0.0889184
Alarcon	0.088789
Rong	0.0878165
"Jehovah's Witness"	0.0875881
Kelleher	0.0872746
Ratliff	0.0870366
Piot	0.0868129
Khalil	0.0865985
Finkel	0.0861913
DeFrantz	0.0856249
Sheng	0.0852619
Okada	0.0852444
Devine	0.0843963
Layden	0.0840993
beamer	0.0837624
Gorter	0.0834709
Cui	0.0834565
Zadornov	0.0827557
Solis	0.0827223
Lindland	0.0825719
Majko	0.08256
Lamont	0.0820128
Bulatovic	0.0818064
Sturm	0.0816812
Tsang	0.0815522
Bustamante	0.0814071
Giordano	0.0812218
Siazon	0.0806097
Tarawneh	0.0805797
Juma	0.0800264
Kirkpatrick	0.0798941
Farber	0.0795433
McInnis	0.0790171
"administration official"	0.078638
Lambright	0.0782892
Hagelin	0.0780589
Ruggiero	0.0775867
Soyinka	0.0770401
striptease	0.0764984
Eizenstat	0.0764393
Flanagan	0.0763634
Werner	0.0760856
ISSEL	0.075702
Pappas	0.0756527
"Kim Jong-pil"	0.0755601
Grasso	0.0755504
Lowry	0.0755236
Bruton	0.0754506
Gleason	0.0754208
Insulza	0.0750991
Rossotti	0.0750351
Meissner	0.0746939
Wasserman	0.0745463
Lipponen	0.0744564
Dixie	0.0743407
Karmazin	0.0743394
Valenti	0.0742007
BURNHAM	0.074165
Naumann	0.0740834
"Amnuay Virawan"	0.0738958
Boucher	0.0738842
Ouattara	0.0738803
McMichael	0.0738347
Spano	0.0735768
Feuer	0.0734354
Hauser	0.0734342
Hirschbeck	0.0733868
Hartsburg	0.0733363
Constantinescu	0.0731924
Summitt	0.0730766
Dewine	0.0730546
prentice	0.0730156
Laperriere	0.0725417
Condit	0.0721925
Tubbs	0.0721652
Hirst	0.0721488
"chamber music"	0.0720019
Merritt	0.0718195
Moyo	0.0717984
Yarnall	0.0715711
Chavalit	0.0713998
Sununu	0.0713824
Fay	0.0713359
Xiang	0.0712049
karaoke	0.0711853
Jayakumar	0.0710279
McKeon	0.0706583
Passarella	0.0705884
bluesy	0.070489
Aguirre	0.0703358
Sergeyev	0.0701964
Seselj	0.0700842
Polian	0.0700559
Rousseau	0.0699066
Dominguez	0.0698746
Meciar	0.0698514
vasectomy	0.0698031
"Tim Floyd"	0.0696525
Paxon	0.0694955
ex-communist	0.0693621
Buzek	0.0692358
Knapp	0.0691824
Hayworth	0.0691592
Ikeda	0.0687572
Geiger	0.0686631
Diouf	0.0686298
Baugh	0.068624
Kasyanov	0.0686156
Malu	0.0685971
Eastman	0.0685639
Monson	0.0684179
Demaci	0.0684084
Dungy	0.0684034
Moonves	0.0680206
Mandella	0.0679976
Heinrichs	0.0679571
Ciampi	0.0678788
Cronin	0.0678107
Cowan	0.0677921
Calvary	0.0677508
Wolfson	0.0677483
Orban	0.067515
Copeland	0.0675042
Zacarias	0.0674419
Musa	0.0674347
Plante	0.0673688
Zhong	0.0672941
"Bora Milutinovic"	0.0672087
Monahan	0.0670447
Caray	0.0669737
Marineau	0.0669243
Reimer	0.0669006
Kearin	0.0668357
Dunleavy	0.0667468
Bliley	0.0667038
Danner	0.0666521
Burleigh	0.0666405
Stoneman	0.0665886
Cortines	0.0665482
Rahal	0.0665026
Fino	0.0664321
Haines	0.0663912
Gormley	0.0663412
Egan	0.0663126
Isakson	0.0662699
"a few lines"	0.0662084
Lafleur	0.0661241
Muoneke	0.0660117
Moscoso	0.0659229
Campo	0.0658117
Romar	0.065779
Mandelson	0.0657042
Masur	0.0656569
Koehler	0.0655923
Napolitano	0.0655072
Zuckerman	0.0654553
Krasniqi	0.0653699
Baerga	0.0652738
Indyk	0.065248
Bavasi	0.0652441
Nickles	0.065156
Hodges	0.0651051
LaPierre	0.0650733
Rashid	0.0650652
Katsav	0.0650589
Hiddink	0.0649996
Kyprianou	0.0649615
Chao	0.0648633
Tomjanovich	0.064838
Velayati	0.064768
))
(caper (desc 13299) (sims
parsley	0.216048
oregano	0.202114
Garlic	0.19402
thyme	0.191209
Basil	0.189574
"pine nut"	0.184115
tarragon	0.183827
cilantro	0.180824
"lemon juice"	0.174057
chive	0.173827
"black olive"	0.170383
marjoram	0.168474
"green onion"	0.166312
scallion	0.166128
olive	0.164414
dill	0.159294
anchovy	0.158993
onion	0.158262
vinegar	0.158041
shallot	0.156648
celery	0.154448
horseradish	0.154041
"Worcestershire sauce"	0.153972
"red pepper"	0.152764
"olive oil"	0.151906
"red onion"	0.151682
rosemary	0.151041
chervil	0.150461
cumin	0.147672
"lemon zest"	0.147671
"fennel seed"	0.146312
pepper	0.146307
"tomato paste"	0.144969
mint	0.143687
mustard	0.139867
"orange zest"	0.138146
fennel	0.135889
tomato	0.134828
paprika	0.13344
"chili powder"	0.132941
Parmesan	0.132521
"lime juice"	0.131646
"green pepper"	0.128057
"bell pepper"	0.12797
jalapeno	0.125537
"bay leaf"	0.124947
ginger	0.124533
"black bean"	0.122582
mayonnaise	0.121754
cucumber	0.120419
chilies	0.120274
"seasoned salt"	0.119385
"sesame oil"	0.118915
"pepper sauce"	0.118156
"mustard seed"	0.117559
mushroom	0.116266
eggplant	0.115521
raisin	0.115227
salt	0.114708
seasoning	0.114033
"soy sauce"	0.113424
"cumin seed"	0.112816
"peanut oil"	0.112742
flake	0.11271
cheese	0.11222
chiles	0.112115
cayenne	0.111894
coriander	0.111563
"cayenne pepper"	0.111094
"black pepper"	0.109705
"sesame seed"	0.109635
"brown sugar"	0.109463
spinach	0.108226
"garlic salt"	0.107068
"sour cream"	0.106679
leek	0.106411
"hot pepper"	0.105947
"wine vinegar"	0.105678
butter	0.105325
"curry powder"	0.104997
lemongrass	0.104771
"celery seed"	0.104392
"goat cheese"	0.10368
arugula	0.103306
"grated cheese"	0.103162
watercress	0.102709
zucchini	0.102398
artichoke	0.102234
peppercorn	0.100263
"chili sauce"	0.100063
lemon	0.099897
ricotta	0.0998264
lettuce	0.0978279
almond	0.097129
vinaigrette	0.0970435
herb	0.0962308
Sage	0.0960335
radish	0.0955703
Chickpea	0.0951611
cornstarch	0.0946346
"blue cheese"	0.0945484
walnut	0.0933463
mozzarella	0.0933244
allspice	0.0917263
tahini	0.0913944
nutmeg	0.0909942
croutons	0.090838
chutney	0.0908275
"Dom Capers"	0.0897269
"white wine"	0.0892169
"garlic clove"	0.0889247
cinnamon	0.0886149
"Tabasco sauce"	0.0878361
"hot sauce"	0.0872126
"chili pepper"	0.0871695
pea	0.086209
bacon	0.0857188
FETA	0.0855152
"pumpkin seed"	0.085373
"green olive"	0.0851842
carrot	0.0851232
"coriander seed"	0.0847829
avocado	0.0834094
potato	0.0820948
Tamarind	0.0819772
currant	0.0815298
honey	0.0803838
"tomato sauce"	0.0800455
crumb	0.0800451
vanilla	0.0798828
peanut	0.0798452
sauce	0.0797318
powder	0.0794269
"vegetable oil"	0.0794146
"lemon peel"	0.0792383
"cherry tomato"	0.0792295
fig	0.0774903
pesto	0.0771159
"water chestnut"	0.0768929
yogurt	0.0767111
clove	0.0763678
"orange peel"	0.0762541
saffron	0.0756214
"vanilla extract"	0.0751699
pinch	0.0746658
"chicken broth"	0.074594
paste	0.074554
bean	0.0745463
"white pepper"	0.0745258
sauerkraut	0.0744949
"green bean"	0.074398
spice	0.0738214
sherry	0.0737952
ketchup	0.0734329
"cider vinegar"	0.0731622
"orange juice"	0.0731499
turmeric	0.0727072
noir	0.0725195
asparagus	0.0721644
molasses	0.0719626
sugar	0.0719589
sprig	0.0715574
salsa	0.0714469
pickle	0.0710926
okra	0.0708709
cabbage	0.0702845
"baking powder"	0.0699409
"bean sprout"	0.0698566
prosciutto	0.0696933
pecan	0.0687453
Tabasco	0.0683144
"Swiss chard"	0.0682838
"white bean"	0.0682433
cream	0.0682033
pancetta	0.0681388
shrimp	0.0680744
slasher	0.0675979
Chili	0.0674922
slice	0.0670049
"poppy seed"	0.0667171
tomatillo	0.0666727
ham	0.0665744
"hoisin sauce"	0.0663997
pasta	0.0657165
"pineapple juice"	0.0656764
"snow pea"	0.0656546
pineapple	0.0656024
thriller	0.0654256
"baking soda"	0.0653831
flour	0.0653285
Broccoli	0.065096
sausage	0.0650873
zest	0.0650079
radicchio	0.0649607
beet	0.0647801
prune	0.0640735
cauliflower	0.0640073
juice	0.0640041
"almond extract"	0.0639535
lime	0.0635758
))
(capillary (desc 1450.84) (sims
"blood vessel"	0.113742
"heart valve"	0.0946078
"leg bone"	0.0837683
"hair follicle"	0.0831629
cervix	0.0807607
vertebra	0.0794282
"shoulder blade"	0.078312
retina	0.0750575
eardrum	0.0735973
fibula	0.0715175
kneecap	0.0696071
"water main"	0.0656
agglomeration	0.0650713
"white blood cell"	0.0648983
artery	0.0605178
"coat of paint"	0.0587106
"sewer line"	0.0572322
moustache	0.0571796
"internal organ"	0.0569086
scaffold	0.0557825
mitochondria	0.0550021
"air bubble"	0.0537077
"brain cell"	0.0535363
"atmospheric condition"	0.0532082
"coca crop"	0.0531567
Quay	0.0523011
"septic tank"	0.0518617
"water pipe"	0.0518039
"nerve cell"	0.0512556
"tax income"	0.0511523
neuron	0.0506566
sheath	0.0499677
"ring finger"	0.0497824
sapling	0.0495414
vertebrae	0.049504
"Colorado River"	0.0493213
filament	0.0488514
"skin cell"	0.0484525
"spinal cord"	0.0484072
windscreen	0.0475305
"pumping station"	0.047466
macro-economy	0.0474121
superhighway	0.0467498
aorta	0.046724
naught	0.0465055
"gas line"	0.0458011
"beam of light"	0.0453095
T-cells	0.0450317
cheekbone	0.0449536
suture	0.0446991
plankton	0.0446509
floorboard	0.0446017
femur	0.0445027
"sea lane"	0.0442646
"Canadian Alliance"	0.044201
"heroin addiction"	0.0441475
"computer language"	0.0440775
Mach	0.0438968
"sales outlet"	0.0438601
cornea	0.0438514
Bund	0.0438125
"three pitchers"	0.043631
membrane	0.043468
policing	0.0434152
"little finger"	0.0433878
Pinky	0.0433801
pinkie	0.0433602
snout	0.0432169
"Mekong River"	0.043096
fibroids	0.0430727
"gas plant"	0.0428072
"China Unicom"	0.0425978
follicle	0.0425177
"ocean current"	0.0424785
encirclement	0.0424166
denture	0.0424049
"three schools"	0.0423333
manhole	0.0416525
airway	0.041605
"water line"	0.0413673
"regular army"	0.0412475
"Virtue Party"	0.0412212
TU-@@@	0.0410574
"water fountain"	0.0407601
rudder	0.0406049
detonation	0.0404569
guardrail	0.040385
"eye socket"	0.0403728
lobe	0.0403236
"inner ear"	0.0402529
esophagus	0.0402126
Ellipse	0.0400691
disinvestment	0.0400346
))
(capita (desc 14137.6) (sims
"square mile"	0.106856
mu	0.10608
"living space"	0.102896
pretax	0.0871446
income	0.084161
hectare	0.0826127
GNP	0.0786379
GDP	0.0693428
annum	0.0648021
diem	0.0628882
"square meter"	0.0599103
household	0.0581137
second-quarter	0.0554566
consumption	0.0538153
"personal income"	0.0512229
"gross national product"	0.0509553
"ten percent"	0.0492125
"national income"	0.048944
"high street"	0.0485351
"five percent"	0.04805
"gross domestic product"	0.0467804
kg	0.04637
third-quarter	0.0459813
"square foot"	0.0456332
pupil	0.0448911
"cubic meter"	0.044435
year-on-year	0.0443789
"eight percent"	0.0440938
"six percent"	0.0431142
"one percent"	0.0427071
kWh	0.0426555
ha	0.042439
"net income"	0.0423621
"live birth"	0.0418738
"about @.@@ billion dollars"	0.0410948
"two percent"	0.0410776
"retail sale"	0.0406295
"growth rate"	0.0405871
"market penetration"	0.0401763
"seven percent"	0.0401461
))
(capital (desc 280261) (sims
city	0.249397
"provincial capital"	0.187832
town	0.17836
province	0.154429
Kabul	0.145012
BEIJING	0.143562
region	0.142932
area	0.141436
Pristina	0.140349
investment	0.139004
village	0.131373
Kinshasa	0.129179
Freetown	0.12865
Grozny	0.12739
Moscow	0.124401
country	0.119691
Shanghai	0.118732
BELGRADE	0.117906
airport	0.116765
Jakarta	0.116159
fund	0.116124
LONDON	0.115505
territory	0.115473
port	0.11325
Washington	0.11275
government	0.112555
Beirut	0.111267
Paris	0.110426
CAIRO	0.109923
district	0.107811
Baghdad	0.107578
Bangkok	0.107405
COLOMBO	0.107399
border	0.107273
Nairobi	0.106577
Tehran	0.106261
Sarajevo	0.105815
Amman	0.104622
JERUSALEM	0.104227
"Mexico City"	0.103483
"Phnom Penh"	0.102755
Havana	0.102278
Mogadishu	0.102106
center	0.101211
Istanbul	0.100622
asset	0.100577
market	0.0997337
suburb	0.099598
SEOUL	0.0991517
north	0.0989614
China	0.0987889
Dili	0.0986294
state	0.097891
loan	0.0978034
"Kuala Lumpur"	0.0972942
sector	0.0971598
island	0.0970916
TIRANA	0.0970757
parliament	0.0970509
Tokyo	0.0970017
Rome	0.0965844
Republic	0.0964646
HARARE	0.0961541
resource	0.0957943
Kosovo	0.095648
south	0.0954672
"state capital"	0.0947627
embassy	0.0946823
Manila	0.0944895
"Tel Aviv"	0.0944062
"Addis Ababa"	0.0941007
"Hong Kong"	0.0939516
zone	0.0938299
economy	0.0937681
DHAKA	0.0936598
Lusaka	0.0935917
coast	0.0933621
neighborhood	0.0932394
Belfast	0.0932386
export	0.0927925
"New York"	0.0926738
street	0.0926412
"New Delhi"	0.0918104
Kigali	0.0916524
BOGOTA	0.0916358
JOHANNESBURG	0.0913988
CHENGDU	0.0913144
Berlin	0.0907203
"Cape Town"	0.0906364
stronghold	0.0903718
revenue	0.089343
Tripoli	0.0892091
reserve	0.0890042
Guangzhou	0.0889784
Skopje	0.0887671
Lhasa	0.0886192
KAMPALA	0.0882141
money	0.0879601
"foreign minister"	0.0878686
Asmara	0.0878344
Pretoria	0.0878022
YANGON	0.0875022
nation	0.0874323
part	0.0872542
Kunming	0.0871756
industry	0.0865882
Karachi	0.0863741
population	0.0862518
Monrovia	0.0862466
Chongqing	0.0861471
Shenzhen	0.0859818
Riyadh	0.0859096
Islamabad	0.08581
debt	0.0857332
BRUSSELS	0.0856914
headquarter	0.0856476
Chechnya	0.0856353
Northeast	0.0854346
"gross domestic product"	0.0853423
east	0.0853392
Lebanon	0.085304
Abuja	0.0850338
Algiers	0.0846899
"city center"	0.0845702
downtown	0.0845669
"rural area"	0.0843853
"Dar es Salaam"	0.0838837
community	0.0838426
"New York City"	0.0834278
Hangzhou	0.0833042
Khartoum	0.0830993
Europe	0.0826271
Vienna	0.0823859
MAPUTO	0.0823668
metropolis	0.0822446
"African country"	0.0818711
Gaza	0.0818401
minister	0.0817446
ANKARA	0.0816638
Lagos	0.0814382
NANJING	0.0809212
ATHENS	0.0807389
municipality	0.0806722
home	0.0806423
BUCHAREST	0.0806308
Albania	0.0804892
cash	0.0802913
HANOI	0.0801796
financing	0.0800229
base	0.0799316
Madrid	0.0798596
countryside	0.0798083
"Los Angeles"	0.0795918
Wuhan	0.0794638
southwest	0.0792073
"Ho Chi Minh City"	0.0791973
Singapore	0.0790435
"United States"	0.0789907
Luanda	0.0789337
Lahore	0.078811
northwest	0.0787443
Sydney	0.0787064
Tianjin	0.0786796
west	0.0784451
Urumqi	0.0784257
value	0.0782344
currency	0.078175
people	0.0781728
Israel	0.0781084
camp	0.0779798
volume	0.0779334
outskirt	0.0778066
business	0.0777594
Prague	0.0776853
Geneva	0.0775813
land	0.0773549
Boston	0.0772564
southeast	0.0771925
resort	0.0770477
LISBON	0.0770247
"foreign exchange"	0.076926
President	0.0768701
Damascus	0.0768609
"San Francisco"	0.0768175
enterprise	0.0766283
funding	0.0764933
Atlanta	0.0764642
Macao	0.0764158
Afghanistan	0.0763402
building	0.0762762
county	0.0761977
hub	0.075886
authority	0.0758132
Abidjan	0.0757521
Santiago	0.0757117
Macedonia	0.0756
"urban area"	0.0755008
import	0.0753629
infrastructure	0.0753582
CARACAS	0.0749461
))
("capital account" (desc 2996.38) (sims
"current account"	0.237068
"insurance market"	0.0735985
"balance of payments"	0.0724182
"balance of trade"	0.0681183
"foreign exchange"	0.0655558
"joint-stock company"	0.0610788
"credit system"	0.0502291
"currency market"	0.0497785
spigot	0.049142
"trade balance"	0.0471024
"banking industry"	0.0470846
"air travel"	0.0462888
"investment climate"	0.046277
"Endangered Species Act"	0.0444891
"abortion law"	0.0427222
"blood sugar"	0.0424661
"tax collection"	0.0419286
Non-governmental	0.0419207
"industrial enterprise"	0.0411317
"public utility"	0.0405466
))
("Capital Airport" (desc 1662.21) (sims
"Macao International Airport"	0.188193
"Hartsfield International Airport"	0.173293
"Ben-Gurion Airport"	0.173058
"Hong Kong International Airport"	0.167453
lax	0.164902
"Logan International Airport"	0.154859
"Entebbe International Airport"	0.154222
"International Airport"	0.151087
"Miami International Airport"	0.146309
"Heathrow Airport"	0.141766
"Newark International Airport"	0.140784
"Dulles International Airport"	0.140443
"San Francisco International Airport"	0.138053
O'Hare	0.136289
"Los Angeles International Airport"	0.132328
"O'Hare International Airport"	0.127017
Stansted	0.124779
"Kai Tak Airport"	0.12469
Hartsfield	0.124558
"Summer Palace"	0.118576
"Cairo International Airport"	0.118435
"Kennedy Airport"	0.114403
"Sky Harbor"	0.11406
"La Guardia"	0.112783
"Andrews Air Force Base"	0.107068
"Logan Airport"	0.105694
"Palace Museum"	0.102893
"Kuala Lumpur International Airport"	0.100885
"Kennedy International Airport"	0.099874
"Charles de Gaulle"	0.099697
"ring road"	0.0990563
"Pudong International Airport"	0.0964955
airstrip	0.0952831
"Chek Lap Kok"	0.0933816
"La Guardia Airport"	0.0869871
"Kennedy Space Center"	0.0866628
"John F. Kennedy International Airport"	0.0853982
"railroad station"	0.0853691
Heathrow	0.0843184
"National Library"	0.0824331
airfield	0.0787398
"Kai Tak"	0.0777319
"Museum of Chinese History"	0.0775253
Logan	0.0693563
"Jomo Kenyatta International Airport"	0.0690081
"Forbidden City"	0.0673322
"Fort Dix"	0.067154
"Fourth World Conference"	0.0654145
Aviano	0.0651863
"Qinghua University"	0.0631841
"railway station"	0.0628484
CCC	0.062364
"Tiananmen Square"	0.0619578
"Diaoyutai State Guesthouse"	0.0606024
"Harare International Airport"	0.0604812
waterworks	0.0597251
"Johnson Space Center"	0.0594984
airbase	0.0593765
"Ellis Island"	0.0593631
polluter	0.0589952
"Memorial Hall"	0.057865
Dulles	0.0575561
"Imperial Palace"	0.057194
LaGuardia	0.0570009
held	0.0568602
"port of entry"	0.0558136
"Johannesburg International Airport"	0.054743
"highway system"	0.0545721
"Cape Canaveral"	0.0542007
Zhongguancun	0.0541774
"top officer"	0.0534089
"Kitty Hawk"	0.0531683
"Hilton Hotel"	0.0530844
"Chinese Revolution"	0.0529057
"Inter-Parliamentary Union"	0.0528659
"Japanese Embassy"	0.0520575
"United States Embassy"	0.0515868
"Turkish Embassy"	0.0509733
"train station"	0.0509625
"Union Station"	0.0508054
"fire brigade"	0.0505861
Meadows	0.0500624
"University of China"	0.0499795
"sewage system"	0.0498616
"concert hall"	0.0497803
"World Conference"	0.0497546
"sphere of influence"	0.0494708
"U.N. Headquarters"	0.0494648
crematorium	0.049412
"September @-@"	0.0493845
guesthouse	0.048796
"transportation system"	0.0487144
"suburban area"	0.0484807
"toll plaza"	0.047273
"water plant"	0.0472062
"telephone exchange"	0.0471808
"Corcoran Gallery"	0.0467304
"Russian Embassy"	0.0463366
"Pennsylvania Station"	0.0458832
"Asian Championships"	0.0456113
"subway station"	0.0452234
"environmental condition"	0.044736
seaport	0.0445708
"civic center"	0.044521
"Royal Opera House"	0.0444127
KLIA	0.0442757
rostrum	0.0438584
switchboard	0.0436797
"Dorothy Chandler Pavilion"	0.0433847
"Presidential Palace"	0.0432359
"business district"	0.0432328
"Terminal @"	0.0425806
"UN agency"	0.0424526
"Public Health"	0.0424333
"US Embassy"	0.042379
mart	0.042375
"Boston Symphony Orchestra"	0.0421449
teahouse	0.0420587
"navy base"	0.0420452
"maritime law"	0.042021
"Secretary General Esmat Abdul-Meguid"	0.0419548
"tax base"	0.0419202
"child welfare agency"	0.0414925
"danger zone"	0.0414627
"Tate Gallery"	0.0413604
substation	0.0413201
ICBC	0.0413079
Tables	0.0411856
"mass transit"	0.0411322
"alarm bell"	0.0410276
"Erie Canal"	0.0406958
"communication network"	0.0405811
"retail operation"	0.0404673
"Tareq Aziz"	0.0404503
"exhibition hall"	0.0404366
wharf	0.0402077
))
("capital expenditure" (desc 3661.29) (sims
"capital investments"	0.13573
"operating cost"	0.133366
"operating expenses"	0.126748
ADP	0.126081
expenditure	0.120378
"defense budget"	0.120213
"pretax profit"	0.112961
"bank rate"	0.110608
"net income"	0.110302
"budget deficit"	0.110279
outlay	0.10587
"debt service"	0.104429
"medicare payment"	0.0989307
borrowing	0.098845
"tax revenue"	0.0985543
"earning per share"	0.0960382
"labor cost"	0.095015
"borrowing cost"	0.0948948
GNP	0.0934509
homeownership	0.0932676
"steel production"	0.0920221
ridership	0.090902
"tax collection"	0.0898858
"Official Development Assistance"	0.0893545
"annual payment"	0.0883795
"earnings growth"	0.0880678
"marketing cost"	0.0873767
NPLs	0.0873164
"wholesale price index"	0.0870627
"take-home pay"	0.0863863
remittance	0.0862052
enrolment	0.086035
GDP	0.0856525
"foreign direct investment"	0.0853051
"insurance premium"	0.0846905
"production cost"	0.0846626
"interest payment"	0.0845833
disbursement	0.0839402
"gross national product"	0.0837532
inflow	0.0837125
"rate of growth"	0.0828922
repayment	0.0820951
"national income"	0.0819543
"record earnings"	0.0807641
"Producer Price Index"	0.0805887
"birth rate"	0.0804959
"bank deposit"	0.0804901
receipt	0.0804075
"fertility rate"	0.0803006
"tax liability"	0.0801304
earning	0.079861
"net profit"	0.0798051
"export sale"	0.0794932
CPI	0.0792715
"factory order"	0.0792436
write-off	0.0789341
"gross domestic product"	0.0787128
"inflation rate"	0.0784213
"elephant population"	0.0783455
"retail sale"	0.0779833
"trade surplus"	0.0778552
ODA	0.0774593
FDI	0.0772536
"selling price"	0.0771356
"trade deficit"	0.0770056
servicing	0.0762516
"mortgage rate"	0.0760316
"property tax"	0.0759635
"gross income"	0.0758705
"operating budget"	0.0755824
"revenue growth"	0.0755575
"interest income"	0.0755289
"television revenue"	0.0755213
"vehicle sale"	0.0753198
shortfall	0.0753003
capitalization	0.0751359
"money supply"	0.0748469
caseload	0.0746812
"producer price"	0.0744199
"rate of inflation"	0.0739376
"tax income"	0.0738023
"oil production"	0.0737718
absenteeism	0.0734083
allocation	0.0732765
enrollment	0.072499
"personal income"	0.0718206
"financial loss"	0.0716158
delinquency	0.0705704
"non-performing loans"	0.0702384
lending	0.0695531
"legal fee"	0.0693529
"life expectancy"	0.0693362
payroll	0.069183
"interest expense"	0.0691512
throughput	0.0687298
"order book"	0.0686846
appropriation	0.0684108
"labor force"	0.0679325
"retail price index"	0.067838
liquidity	0.0677938
viewership	0.0676631
joblessness	0.0675465
caseloads	0.0672487
mortality	0.067239
repurchase	0.0670631
"consumer credit"	0.0669349
"growth rate"	0.06679
reimbursement	0.0664232
"import duty"	0.066193
inventory	0.0661463
subsidy	0.0659861
productivity	0.0659829
retrenchment	0.0655998
"market value"	0.0653331
"profit margin"	0.065331
"consumer demand"	0.0651875
"tax rate"	0.0647026
"Social Security benefit"	0.0646086
"poverty rate"	0.0643582
occupancy	0.0643564
payout	0.06434
"working capital"	0.0641253
profitability	0.0635922
dividend	0.0632554
Tonnage	0.0629622
"market share"	0.0629004
"housing sale"	0.0628243
"cancer death"	0.0627322
"asset value"	0.0621512
"home sale"	0.061943
"crime rate"	0.0618704
"customs duty"	0.061629
"funds rate"	0.0614605
"oil price"	0.0613882
Manpower	0.0611609
outflow	0.0607135
"special drawing rights"	0.0606665
"retail price"	0.0605923
"bankruptcy filing"	0.060547
"income tax"	0.0604992
"retirement age"	0.0604308
"budget cut"	0.0603808
backlog	0.0602577
"debt payment"	0.0601945
"consumer price index"	0.0600635
lifespan	0.0600575
procurement	0.059909
"trade balance"	0.0593641
stockpile	0.0593301
C-section	0.0593195
"employment growth"	0.0591992
"consumption tax"	0.059171
"mortality rate"	0.0590401
workload	0.0583358
fertility	0.0583109
allotment	0.0579506
arrears	0.0579394
"capital gains tax"	0.057663
acreage	0.0573498
"death rate"	0.0573317
"cost of living"	0.0571754
recapitalization	0.0569672
"job cut"	0.0568881
"tax reduction"	0.0568349
"stock buyback"	0.0566699
"body weight"	0.0565206
buyback	0.056448
reinvestment	0.0563398
"pretax charge"	0.0563363
emission	0.0561455
mileage	0.0560134
fatality	0.0558144
liability	0.0555649
electrification	0.0554744
"occupancy rate"	0.0553681
"medical bill"	0.0551307
"bond price"	0.0550419
"truck sale"	0.0549175
"unemployment rate"	0.054913
Tuition	0.0546765
"turnover rate"	0.0546465
billing	0.0545967
"value-added tax"	0.0545214
"export credit"	0.0545198
divestiture	0.0545037
sixth-graders	0.0544538
cutback	0.0543401
"bad debt"	0.0539775
HDL	0.0539662
overpayment	0.0539369
shareholding	0.0538427
"foreign exchange"	0.0538202
"cost overrun"	0.0538087
horsepower	0.0537431
upkeep	0.0536716
incidence	0.0536595
"price support"	0.0536546
"bond issue"	0.0536463
"financial aid"	0.0536239
"discount rate"	0.0536066
))
("capital gain" (desc 11422.3) (sims
"capital gains tax"	0.200834
dividend	0.180719
"interest income"	0.155463
"Social Security benefit"	0.145381
income	0.143064
"property tax"	0.139105
saving	0.130563
"income tax"	0.123551
profit	0.120512
proceeds	0.110473
"estate tax"	0.110008
tax	0.10838
"personal income"	0.10681
royalty	0.105636
pension	0.105597
"tax rate"	0.104794
"gross income"	0.103872
"insurance premium"	0.102749
revenue	0.101064
"value-added tax"	0.100884
"interest payment"	0.0987812
"tax liability"	0.0981858
earnings	0.0970648
fee	0.0964003
deduction	0.0943565
payment	0.091895
"sales tax"	0.0911592
rebate	0.0902197
rent	0.0900734
"legal fee"	0.0898368
savings	0.0896533
premium	0.0886134
"inheritance tax"	0.0874304
windfall	0.0868954
inheritance	0.0864213
payouts	0.0863062
"operating cost"	0.0859846
"tax revenue"	0.0858011
wage	0.0851809
alimony	0.0851449
"medical bill"	0.0848509
"import duty"	0.084247
expense	0.0837365
borrowing	0.0833659
"excise tax"	0.0828051
asset	0.0821833
"tax bill"	0.0808431
"interest expense"	0.0801311
expenditure	0.0789129
deposit	0.0783728
bonus	0.0775535
"financial loss"	0.0775173
outlay	0.0769637
remittance	0.0761322
refund	0.076041
"retirement benefit"	0.0759827
"wage increase"	0.0759575
"retirement account"	0.075927
debt	0.0758945
"savings account"	0.0755116
"customs duty"	0.0754693
salary	0.0752516
allowance	0.0738782
"tax break"	0.0737351
annuity	0.0735461
"financial gain"	0.0734934
"medicare payment"	0.0733631
subsidy	0.0728302
"net income"	0.0727822
"spending cut"	0.0727293
"consumer loan"	0.0725722
"stamp duty"	0.0725702
"consumption tax"	0.0721019
mortgage	0.0717842
liability	0.0707463
holding	0.0704916
"bank deposit"	0.0703488
reimbursement	0.0698578
"nest egg"	0.0692663
"production cost"	0.0692374
restitution	0.0689995
"bad debt"	0.0685669
"management fee"	0.0680727
"mortgage rate"	0.0678375
"cash payment"	0.0677625
receipt	0.0677488
tariff	0.0673733
cash	0.0672903
Tuition	0.0671398
"net profit"	0.0669032
"earnings growth"	0.0667389
"stock option"	0.066357
"tax deduction"	0.0663539
"foreign exchange"	0.0659216
"labor cost"	0.0658555
taxation	0.0652181
penalty	0.0645761
"margin call"	0.0645156
insurance	0.0643725
"profit margin"	0.0643489
"home mortgage"	0.0642411
portfolio	0.0640725
"service charge"	0.0640447
"take-home pay"	0.0638914
"cost of living"	0.0637369
gratuity	0.0636127
transaction	0.0635404
"revenue growth"	0.0634073
exemption	0.0632682
lending	0.0631987
donation	0.062944
excise	0.0629327
"life insurance"	0.0627839
compensation	0.0623934
"borrowing cost"	0.0622507
"social security"	0.0621309
wealth	0.0620641
"purchase price"	0.0619304
write-off	0.0618872
equity	0.0617347
payoff	0.0617188
Lien	0.0611017
"market share"	0.0610564
"interest rate"	0.06049
"tax increase"	0.0604317
"tax benefit"	0.060112
reduction	0.0596815
kickback	0.0594273
"stock buyback"	0.0594047
sum	0.0592964
"licensing fee"	0.0591324
inflow	0.0590115
"down payment"	0.0588766
"job cut"	0.0585763
"tax credit"	0.0585477
shortfall	0.0582861
"pay cut"	0.0582
valuation	0.0579512
"Vanguard Index @@@"	0.057853
"tax reduction"	0.0576774
"gasoline tax"	0.0576677
"child support"	0.0570297
overdraft	0.0570242
repayment	0.0569646
"debt service"	0.0568666
payout	0.056555
"budget deficit"	0.0565471
paycheck	0.0559937
payroll	0.0558597
"economies of scale"	0.0557832
inflation	0.0554899
"Roth IRA"	0.0550676
pretax	0.0550229
"pay raise"	0.0549826
VAT	0.0548591
overpayment	0.054827
"sum of money"	0.0548077
depreciation	0.0547902
"fringe benefit"	0.0547037
"discount rate"	0.054677
buybacks	0.0545546
"operating expenses"	0.0544335
"brokerage account"	0.0542302
allocation	0.0539241
"amount of money"	0.0536618
"prize money"	0.0534699
"bank rate"	0.0534616
unemployment	0.0533739
"profit sharing"	0.0533466
financing	0.0533436
"admission fee"	0.0532274
"phone bill"	0.0531947
"capital expenditure"	0.0531851
"asset value"	0.0530767
"tax income"	0.0528775
stipend	0.0527938
bribe	0.0527829
"health benefit"	0.0527674
"tax cut"	0.052708
surplus	0.0526938
"price reduction"	0.0525611
write-down	0.0525571
"budget cut"	0.0525437
"Treasury bond"	0.0522143
"wage freeze"	0.0520898
severance	0.0520223
"debt payment"	0.0518832
"savings bond"	0.0517455
"defense budget"	0.0517285
outflow	0.0516582
"annual payment"	0.0515035
"earning per share"	0.0513926
purse	0.0513319
AMT	0.0512477
"face value"	0.0511725
increment	0.0511473
"tax bracket"	0.0511229
"retirement plan"	0.051066
"cash bonus"	0.0510245
"mutual fund"	0.0510043
))
("capital gains tax" (desc 6032.76) (sims
"estate tax"	0.252808
"inheritance tax"	0.245646
"capital gain"	0.200834
"tax rate"	0.200678
"income tax"	0.196105
"excise tax"	0.177009
"value-added tax"	0.175202
"property tax"	0.162556
"import duty"	0.156961
"consumption tax"	0.15576
"customs duty"	0.154785
"sales tax"	0.151595
tax	0.137147
"stamp duty"	0.136698
"gasoline tax"	0.135178
"bank rate"	0.132678
"borrowing cost"	0.131539
"withholding tax"	0.12691
taxation	0.125152
"tax liability"	0.123761
tariff	0.116353
"insurance premium"	0.115902
"interest expense"	0.115719
GST	0.114976
levy	0.114814
"tax bill"	0.107723
"Social Security benefit"	0.107401
"operating expenses"	0.103761
"service charge"	0.100982
excise	0.100859
TAXES	0.0979217
"medicare payment"	0.0952754
"tax bracket"	0.0947241
"defense budget"	0.0940416
"death tax"	0.0930735
"labor cost"	0.092376
AMT	0.0901034
"tax break"	0.0871558
"anti-dumping duty"	0.0867114
"discount rate"	0.0862404
VAT	0.0861856
"sick pay"	0.0858169
"operating cost"	0.0842475
"value added tax"	0.083923
surcharge	0.0836643
"interest payment"	0.0834932
deduction	0.0820651
"mortgage rate"	0.0806638
"tax credit"	0.0794029
rebate	0.0790894
"funds rate"	0.0785546
"retirement benefit"	0.077786
"tax increase"	0.0777104
"trade barrier"	0.0773141
"budget deficit"	0.0761903
"tax benefit"	0.0755728
"wage freeze"	0.0743588
"production cost"	0.073562
"red tape"	0.0731761
subsidy	0.0730959
C-section	0.0723074
"tax deduction"	0.0714594
pension	0.0708188
exemption	0.0702186
"margin call"	0.0701816
surtax	0.0700122
dividend	0.0698982
alimony	0.0696047
"tax incentive"	0.0693629
"user fee"	0.0686888
"take-home pay"	0.067633
borrowing	0.0675918
Tuition	0.0671114
reimbursement	0.0664863
threshhold	0.0658218
write-off	0.065573
"selling price"	0.0655642
deductibles	0.0652647
"licensing fee"	0.0651949
"marketing cost"	0.0645537
Medicaid	0.0643801
"tax cut"	0.0641224
gratuity	0.0639799
"electric bill"	0.0637354
"debt service"	0.0634383
"minimum wage"	0.062951
"dividend payment"	0.0625102
"wage scale"	0.0615369
"tax hike"	0.0604659
allowance	0.0603263
liability	0.0602932
"social welfare"	0.060199
markup	0.0601865
quota	0.0599899
recidivism	0.0594595
unemployment	0.0594309
premium	0.0593124
"cost of living"	0.0592325
"poverty rate"	0.0591705
"profit margin"	0.0588078
payouts	0.0586794
joblessness	0.0586403
caseloads	0.0583445
CPF	0.0581766
"dog bite"	0.0578993
inheritance	0.0578732
"capital expenditure"	0.057663
"spending cut"	0.0576501
"quota system"	0.0569961
"transfer payment"	0.056821
overdraft	0.0567485
"admission fee"	0.056605
"management fee"	0.0561051
"debt load"	0.0559249
"rate of growth"	0.0555796
"mortality rate"	0.0555738
co-payment	0.0553918
"disability insurance"	0.0552635
refund	0.0552388
"income bracket"	0.0551534
"wage increase"	0.0547725
"legal fee"	0.0543006
IDD	0.0541311
airfare	0.0539808
"entrance fee"	0.0537224
"key rate"	0.0536392
outlay	0.0534923
"pay cut"	0.0534807
royalty	0.0533906
"admission price"	0.0532991
co-payments	0.0531247
payroll	0.0529704
"life expectancy"	0.0528226
GSP	0.0526992
emission	0.0524363
"death benefit"	0.0524016
abatement	0.0523453
"credit rating"	0.0522937
"car insurance"	0.0522916
belt-tightening	0.0522643
"personal income"	0.0520188
"tax system"	0.0520139
interbank	0.0518253
"tax collection"	0.0518031
"interest income"	0.0517158
"export quota"	0.0516635
"oil production"	0.0515783
depreciation	0.0515384
"tax reduction"	0.0511266
"tax base"	0.050861
restitution	0.0508215
"price reduction"	0.0506191
Fares	0.0503805
incidence	0.0502443
"purchase price"	0.0502321
payout	0.050194
"tax revenue"	0.0497492
"price increase"	0.0496822
cutback	0.0494361
"prison sentence"	0.0492696
"debt payment"	0.0491609
"telephone bill"	0.049092
intake	0.048756
"crime rate"	0.0486046
"gun control"	0.0485582
"gas price"	0.0484987
"retirement account"	0.0482959
wastage	0.0481825
workload	0.0480441
spindle	0.0479132
"budget cut"	0.0477123
workweek	0.0476654
"air pollution"	0.0473614
indemnity	0.047336
"speed limit"	0.0469139
"price control"	0.0469122
ration	0.0467913
Shariah	0.0465843
"pork barrel"	0.0463194
withholding	0.0463093
Caesarean	0.045944
dependency	0.0459015
"Official Development Assistance"	0.0455962
"bond rating"	0.0455123
"cost structure"	0.0455055
pollutant	0.045501
"prison term"	0.0454673
"price fluctuation"	0.0454288
"health benefit"	0.0451189
dowry	0.0448091
"price support"	0.0447762
deductibility	0.0447551
"tax policy"	0.0444804
bureaucracy	0.0443856
"rate of inflation"	0.0443802
"medical bill"	0.0443182
"financial loss"	0.0441246
"food stamp"	0.0435379
morbidity	0.0433951
"social service"	0.0433246
))
("capital investments" (desc 3077.81) (sims
"capital expenditure"	0.13573
"bank deposit"	0.113111
"foreign direct investment"	0.106621
FDI	0.100439
remittance	0.0996814
"annual payment"	0.0992172
"vehicle sale"	0.09301
outlay	0.0907486
inflow	0.088632
NPLs	0.0883216
"truck sale"	0.0853156
"consumer credit"	0.0836718
"tax revenue"	0.082697
"factory order"	0.082578
divestitures	0.0824825
"steel production"	0.082296
"equity investment"	0.0822848
"Official Development Assistance"	0.0814179
"non-performing loans"	0.0804809
overpayment	0.0803192
"interest payment"	0.0794733
"insurance premium"	0.0787336
"spending cut"	0.0785933
capitalization	0.07857
"operating expenses"	0.0782137
"national income"	0.0767849
"retail sale"	0.0764505
"aircraft order"	0.0758631
"medicare payment"	0.0744519
"net profit"	0.0735927
"arms deal"	0.0731356
"bank debt"	0.0728776
"operating cost"	0.0719729
"net income"	0.0711081
"elephant population"	0.0708107
expenditure	0.0706703
"budget cut"	0.0706332
borrowing	0.0704427
shareholding	0.0686128
"financial loss"	0.0683621
"pretax profit"	0.0680601
"trade surplus"	0.067877
"asset value"	0.0674353
"television revenue"	0.0671245
"Producer Price Index"	0.0665241
receipt	0.0665165
"gross income"	0.0664236
"venture capital"	0.0660845
"cash payment"	0.0659239
"working capital"	0.0658214
"wholesale price index"	0.064717
"labor cost"	0.0647057
"offer price"	0.064165
"tax reduction"	0.0637759
payouts	0.0634896
"personal income"	0.0631801
"housing sale"	0.0630743
"legal fee"	0.06298
"debt payment"	0.0629572
"retail price index"	0.0626694
repayment	0.0624493
payout	0.061614
"labor force"	0.0614043
"debt service"	0.0610689
"trade deficit"	0.0608009
"market penetration"	0.0607866
"user fee"	0.0607199
"job cut"	0.0605955
"oil production"	0.0603014
"market value"	0.0599688
"cash bonus"	0.0596934
"take-home pay"	0.0596645
"equity stake"	0.0594691
arrears	0.0591864
Demutualization	0.0591817
"steel company"	0.0590956
Tuition	0.0588701
"equity interest"	0.0583426
"tax collection"	0.0581566
caseload	0.0580982
"drug sale"	0.057688
T-bonds	0.0575216
"production cost"	0.056984
"nearly @@ billion yuan"	0.0568783
billing	0.0567406
"export sale"	0.0566349
outflow	0.0565311
"over @@@ million US dollars"	0.0564249
productivity	0.0559502
ridership	0.0559286
disbursement	0.0558741
"ransom money"	0.0558526
"Over @@@ Million Dollars"	0.055575
"land area"	0.0552667
"interest expense"	0.0549855
"credit line"	0.054922
"two billion yuan"	0.0548018
GDP	0.0547118
disinvestment	0.0547095
"minority stake"	0.0545861
"out-of-court settlement"	0.0544519
viewership	0.0542185
"shareholder value"	0.0539942
"pay raise"	0.0539633
cropland	0.0539546
GNP	0.0539512
"debt security"	0.0538696
"first five days"	0.053657
"bank rate"	0.0535542
"more than @.@ billion dollars"	0.0534858
"gross national product"	0.0534537
indebtedness	0.0528165
"ownership stake"	0.0527322
"tax hike"	0.0527273
"operating budget"	0.0525823
"home sale"	0.0522952
reserves	0.0518422
"almost $@ billion"	0.0518139
throughput	0.0515487
infusion	0.051479
"bad debt"	0.0514078
"marketing cost"	0.05134
"tax incentive"	0.0512408
"Export Processing Zones"	0.0511378
"more than @.@ billion yuan"	0.051006
"gross domestic product"	0.0509566
"freedom of religion"	0.0508238
"financial aid"	0.0505141
spillage	0.0504461
Manpower	0.0503422
"budget deficit"	0.0501903
write-off	0.0501554
"building permit"	0.050062
"capital stock"	0.0500023
"investor interest"	0.0499561
ADP	0.0495705
"voter turnout"	0.0494458
"poverty rate"	0.0491368
"intellectual property rights"	0.0490555
"prize money"	0.0488799
funders	0.0488791
Eco-tourism	0.0488458
lending	0.048834
"money supply"	0.0488297
"fertility rate"	0.0485273
enrollment	0.04836
w@@	0.0480371
tranche	0.0480142
"rate of growth"	0.0476639
"interest income"	0.0476106
"cancer death"	0.0473746
booking	0.0473242
"income tax"	0.0473171
"debt issue"	0.0472774
sell-offs	0.0472324
"earning per share"	0.0472083
winnings	0.0471616
"export credit"	0.047007
servicing	0.0466583
"standard of living"	0.0466103
caseloads	0.0465868
"wage increase"	0.0464108
"Medicare HMO"	0.0464023
recapitalization	0.0463065
"trunk road"	0.0462081
"management change"	0.0461495
"policy change"	0.0460143
"about @@@ million yuan"	0.0459883
"investment portfolio"	0.0459284
backlog	0.0457415
acreage	0.0455293
"margin call"	0.0454769
revamping	0.0454704
uninsured	0.0452932
"tax income"	0.045202
"electronics industry"	0.0451597
"trading activity"	0.0450362
"debt load"	0.0448033
utilization	0.0447507
"initial offering"	0.0447493
"tax change"	0.0447191
"Speaker Ali Akbar Nateq-Nouri"	0.0446262
"consumption tax"	0.0445788
"economies of scale"	0.0445521
"bank failure"	0.0445418
"investment fund"	0.0444171
"business condition"	0.0443557
fatality	0.0443518
Tonnage	0.0443427
markup	0.0442919
selloffs	0.0442433
"initial public offering"	0.0442209
liquidity	0.0442166
Stealers	0.0441168
"tax increase"	0.0440871
enrolment	0.0440299
"purchase price"	0.043928
"cost overrun"	0.0438338
"death benefit"	0.043805
"dollar amount"	0.0437264
))
("capital punishment" (desc 17709.8) (sims
"death penalty"	0.297599
abortion	0.13892
euthanasia	0.135892
"gun control"	0.112098
homosexuality	0.105593
"corporal punishment"	0.101892
slavery	0.097588
"Proposition @@"	0.0969708
punishment	0.0961072
voucher	0.0940645
gambling	0.0924435
censure	0.0918119
Execution	0.0917231
"free trade"	0.0911046
censorship	0.0902472
ordination	0.0892981
infanticide	0.0885031
Shays-Meehan	0.0881057
"birth control"	0.0868844
sentence	0.0821478
"civil rights"	0.081441
Contraception	0.0811337
sanction	0.0811265
segregation	0.0807325
serfdom	0.079172
impeachment	0.0788235
immigration	0.0786999
"Proposition @@@"	0.0773942
"price control"	0.0769757
discrimination	0.0761174
legislation	0.07535
extradition	0.0751881
forfeiture	0.0736376
"estate tax"	0.0728769
suicide	0.0726001
removal	0.0722288
"sales tax"	0.0720915
apartheid	0.0720536
"military action"	0.0718012
testing	0.0716395
amendment	0.0704463
imprisonment	0.0702226
"trade bill"	0.0693551
sterilization	0.0692675
regulation	0.068773
clemency	0.0685439
intervention	0.0684755
sampling	0.0683225
terrorism	0.0682782
restriction	0.0682323
"prison term"	0.0680528
hegemonism	0.0676788
taxation	0.0675
"income tax"	0.0674419
"prison sentence"	0.0669149
embargo	0.0665966
parole	0.0664682
funding	0.0664516
penalty	0.0658484
prosecution	0.0658336
monarchy	0.0656335
"genetic engineering"	0.0654688
statehood	0.065033
"tax cut"	0.0649576
Privatization	0.0646086
secession	0.0644999
lottery	0.0642396
separatism	0.0640341
marriage	0.0639981
legalization	0.0637607
"home rule"	0.0636146
procedure	0.063587
racism	0.0635523
conscription	0.0630965
circumcision	0.062834
cockfighting	0.0628028
"family planning"	0.0624571
Sharia	0.062297
persecution	0.0622337
subsidy	0.0619229
"human right"	0.0614979
"Bill of Rights"	0.0612359
"Confederate flag"	0.0610964
Pinochet	0.0610642
notification	0.0606591
PNTR	0.0605811
replay	0.0602402
"land reform"	0.0601262
deportation	0.0598969
polygamy	0.0598869
Treaty	0.0597934
detention	0.0596416
"Proposition @"	0.0596232
"trade embargo"	0.0592331
"Vietnam War"	0.0591551
divorce	0.0589741
prostitution	0.0588133
deregulation	0.0587097
"tax increase"	0.0586348
adoption	0.0582906
wade	0.0577859
smoking	0.0577312
quota	0.0574079
airstrikes	0.057237
"Falun Gong"	0.0570333
religion	0.0568902
"sexual harassment"	0.0568856
"child abuse"	0.0565963
protectionism	0.056557
"trade relation"	0.0564187
drilling	0.0563146
provision	0.0561985
prohibition	0.0557918
welfare	0.0557878
"minimum wage"	0.0556561
"missile defense system"	0.0555302
conviction	0.0552804
statute	0.0551361
logging	0.0550781
Helms-Burton	0.0549988
Dismissal	0.0549786
Ordinance	0.0548098
dollarization	0.0547778
"open primary"	0.0547059
moratorium	0.0546193
Napster	0.0545068
federalism	0.0544598
enforcement	0.0542661
Aristide	0.0540163
Gay	0.0539867
"health care"	0.0537483
tort	0.0536519
torture	0.0536457
financing	0.0533909
"nuclear weapon"	0.0530058
morality	0.0528448
"trade policy"	0.0528153
"nuclear power"	0.0526998
overhaul	0.0526891
involvement	0.0522642
referendum	0.0520875
homosexual	0.0520126
globalization	0.051711
"human rights"	0.0514931
deployment	0.0514667
candidacy	0.0513479
repeal	0.0511374
asylum	0.0511185
registration	0.0509758
adultery	0.0508971
disclosure	0.0508883
amnesty	0.0508675
electrocution	0.0507988
justice	0.0506135
tariff	0.0505435
"status quo"	0.0504703
separation	0.050347
hunting	0.0503173
prayer	0.0502802
pornography	0.0502186
"racial segregation"	0.05015
membership	0.050127
andro	0.0500983
"civil liberty"	0.049813
"background check"	0.0496523
inspection	0.0494257
pardon	0.0492573
participation	0.0492553
"pay raise"	0.0492249
fundamentalism	0.0492129
self-determination	0.0491377
abolition	0.0490882
autonomy	0.0489281
independence	0.0489243
"current system"	0.0488844
"inheritance tax"	0.0488274
bombing	0.04877
enlargement	0.0485222
NMD	0.0484602
dictatorship	0.048416
biotechnology	0.0484155
occupation	0.0482101
"civil right"	0.0482077
"economic policy"	0.048157
bailout	0.048148
revision	0.0479738
Proliferation	0.0479605
anti-Semitism	0.0475028
corruption	0.0474158
legality	0.047352
methadone	0.0473314
recruitment	0.0472276
curfew	0.0471965
poverty	0.0470421
"drug abuse"	0.0469991
"tax break"	0.046857
repatriation	0.0467392
designation	0.0467139
probation	0.0466845
appointment	0.0466623
))
("capital stock" (desc 1230.07) (sims
"national income"	0.090826
"investment portfolio"	0.0901063
debit	0.0826376
capitalization	0.0792333
"nest egg"	0.0783316
"asset value"	0.0745221
"seating capacity"	0.0716274
"drainage area"	0.0715161
"operating budget"	0.0712315
"subsidiary company"	0.0700457
"viewing audience"	0.0666716
"net income"	0.0651137
caseload	0.0651094
outlay	0.0650571
"gross national product"	0.0647696
Tonnage	0.0643253
"tax base"	0.0638643
"retail operation"	0.0636586
added-value	0.0633595
Emulex	0.0632164
"prize money"	0.0623962
"money changer"	0.062297
"net profit"	0.061477
"business processe"	0.0602937
GNP	0.0594123
savings	0.0593211
"Mitsubishi Motors"	0.0589328
enrolment	0.0587535
resellers	0.0584776
"ownership stake"	0.0568149
indebtedness	0.0559036
readership	0.0557867
"foreign direct investment"	0.0540102
"tax income"	0.0540021
"labor force"	0.053755
"discount chain"	0.0530593
"land area"	0.0530503
"electronic surveillance"	0.0529811
payout	0.0527347
"face value"	0.0520042
arrears	0.051822
"preferred stock"	0.0517165
"gross income"	0.0516495
interviewee	0.0512158
"working capital"	0.0512085
"AOL Time Warner"	0.0509717
FDI	0.050386
stadia	0.0503778
"business line"	0.0501216
"food stock"	0.0500794
"capital investments"	0.0500023
NPLs	0.0497793
"order book"	0.0497319
"bank deposit"	0.0496849
"summer house"	0.0491595
remuneration	0.0490525
"vehicle sale"	0.0489718
"manufacturing business"	0.048754
sport-utility	0.0487217
"common stock"	0.048716
Patrimony	0.0486399
"death benefit"	0.0483761
allotment	0.0482517
shareholding	0.0482435
"retirement age"	0.0477605
"war chest"	0.0476868
"pretax profit"	0.0475392
zillion	0.046739
"operating expenses"	0.0467328
"copper mine"	0.0466137
capitalisation	0.0464291
"take-home pay"	0.0463716
write-off	0.0456754
"operating cost"	0.0456586
profits	0.0455604
"capital expenditure"	0.0455431
"flow rate"	0.0453012
"particle accelerator"	0.0450016
winnings	0.044899
misperception	0.0447259
"health check"	0.0446681
"surface area"	0.0443595
"discount store"	0.0442849
viewership	0.0439262
"book value"	0.0435695
"sales force"	0.0435309
"credit line"	0.0430633
"purchase price"	0.0429167
"defense budget"	0.0428558
voltage	0.0426056
"debt service"	0.042533
"deficit spending"	0.0423664
crock	0.0423328
"bag of tricks"	0.042264
"equity stake"	0.0421771
"won-lost record"	0.0420789
"sales staff"	0.0420372
"minority stake"	0.0419101
"investment house"	0.0417223
takings	0.0416006
"picture window"	0.041503
"three units"	0.0414801
"National Missile Defense"	0.0414708
MiniMed	0.0414225
"athletic facility"	0.0413571
"white elephant"	0.0413117
"debt load"	0.0412484
weighting	0.0410493
"elephant population"	0.0410141
"shareholder value"	0.0409745
"bad debt"	0.0408372
PLDT	0.0407337
radioactivity	0.0406959
"mushroom cloud"	0.0401364
"hole in the ground"	0.04004
))
(capitalisation (desc 1165.71) (sims
capitalization	0.119745
"market penetration"	0.0935807
"asset value"	0.0910164
"elephant population"	0.0863124
"gross national product"	0.0851335
caseloads	0.0847956
"take-home pay"	0.082892
"fertility rate"	0.081048
"Mexican peso"	0.0795736
sub-index	0.0789038
"preferred shares"	0.0780611
birthrate	0.0771007
"Philippine Stock Exchange Index"	0.0758763
"occupancy rate"	0.0748827
"production cost"	0.0712464
"vacancy rate"	0.0711787
"interest expense"	0.0709217
"Tokyo Stock Price Index"	0.0690491
"operating cost"	0.0685779
"flow rate"	0.0678229
"body weight"	0.067046
"wholesale price index"	0.0661692
"voter turnout"	0.06595
"heart rate"	0.0658465
"national income"	0.0657513
caseload	0.065417
enrolment	0.0652584
"pretax profit"	0.065004
"bank rate"	0.0649012
laundering	0.0645848
"export sale"	0.0644042
selloffs	0.0628103
"Nikkei Stock Average"	0.0627801
"purchase price"	0.0627642
"poverty rate"	0.0626443
sell-offs	0.0621929
"labor cost"	0.0621293
"net profit"	0.0620861
sentry	0.062013
outlay	0.0617061
"trade surplus"	0.0616888
"bank deposit"	0.0612427
"turnover rate"	0.0603537
NPLs	0.0603051
Sensex	0.0600023
added-value	0.0599741
"population density"	0.059654
"vehicle sale"	0.0592573
"ordinary shares"	0.0589085
"surface area"	0.058821
"operating expenses"	0.0584495
viewership	0.0580961
"HSBC Holdings"	0.0579772
"Telecom Corp."	0.0579017
"investment portfolio"	0.0578266
yielding	0.0576897
indices	0.0576312
"key rate"	0.0573283
"Composite Index"	0.0570382
"IMS Health"	0.0567569
throughput	0.0563815
"noise level"	0.0558978
"land area"	0.0558154
outflow	0.0557888
joblessness	0.0557651
mifepristone	0.0556236
"dividend yield"	0.0554785
"center of gravity"	0.0553584
"CAC @@"	0.0553064
"defense budget"	0.0551883
"sticker price"	0.0550921
"book value"	0.0540592
"Hang Seng China-Affiliated Corporations Index"	0.053995
earning	0.0539281
"selling price"	0.0537713
"retail price index"	0.0534927
"water table"	0.0534626
"truck sale"	0.0534584
"air pressure"	0.0532518
"Official Development Assistance"	0.0531139
"News Corp"	0.053018
"birth rate"	0.0527788
ridership	0.0523885
Tonnage	0.0522995
"producer price"	0.0522148
"body temperature"	0.0520389
"FALL @@%"	0.0514238
"rate of inflation"	0.0513998
remittance	0.0512349
Westpac	0.0504384
STI	0.0504313
"face value"	0.0502335
wattage	0.0495751
"tax income"	0.0495578
"gas price"	0.0494444
shakeout	0.0494414
"Straits Times Index"	0.0493583
"Dow Jones Industrial Average"	0.049217
"Karachi Stock Exchange"	0.0490212
"offer price"	0.0489273
"insurance premium"	0.0486654
corpus	0.0486643
"rate of growth"	0.0485937
"Bovespa Index"	0.0484499
takings	0.0482425
"aircraft order"	0.048025
"PC Data"	0.0477833
"borrowing cost"	0.0476951
"average cost"	0.0475352
shivering	0.0474689
zillion	0.0474653
downdraft	0.0473388
"non-performing loans"	0.0472592
"Xetra Dax"	0.0471216
T-bill	0.0470883
BHP	0.0470733
"Sensitive Index"	0.0470617
sub-indices	0.0469872
fenfluramine	0.0468039
"bid price"	0.0466601
weightings	0.0465264
"capital stock"	0.0464291
responsiveness	0.0463752
"interest payment"	0.0463687
RAMBUS	0.0463145
"nearly one-fourth"	0.0462267
"FTSE @@@"	0.0459807
chambermaid	0.0458489
"goose bumps"	0.0456296
"marketing cost"	0.0454978
"Straits Times Industrials Index"	0.0454626
Rev	0.0452827
"blue-chip stock"	0.0449423
readership	0.0449171
"earning per share"	0.0448046
Pe	0.0446609
fineness	0.0444042
"income bracket"	0.0442261
buybacks	0.0440763
divestiture	0.043977
CAC	0.043831
"trading activity"	0.0438187
"pay rate"	0.0436575
"price index"	0.043596
"Commonwealth Bank"	0.0434754
downturns	0.0434422
"target area"	0.0432841
pH	0.0431972
homeownership	0.0430991
IPC	0.0429215
"tax bracket"	0.0428128
Nikkei	0.0427148
fragmentation	0.0424465
"Lion Nathan"	0.0423353
"time deposit"	0.0423192
CAC-@@	0.0422718
"mortgage rate"	0.0422155
voltage	0.0421059
"Fletcher Forest"	0.0421044
"Royal Bank of Scotland"	0.0419918
"record earnings"	0.0418318
"capital expenditure"	0.0418181
"list price"	0.0417904
horsepower	0.0416068
"factory order"	0.0416021
"Hang Seng China Enterprises Index"	0.0415659
octane	0.0415284
inflexibility	0.0414802
tallest	0.0414505
co-payment	0.0413615
"cost of living"	0.0412361
"Carter Holt Harvey"	0.041205
HSI	0.0410368
"body count"	0.0408122
"market average"	0.0407584
"capital investments"	0.040678
"Brierley Investments"	0.0405467
lapping	0.0404116
salinity	0.0403997
DAX	0.040359
"debt load"	0.040315
"television revenue"	0.0402678
GST	0.0402263
RPI	0.0401944
"dollar amount"	0.0400624
"funds rate"	0.0400422
"ownership stake"	0.0400236
))
(Capitalism (desc 28589.1) (sims
democracy	0.140537
"free enterprise"	0.128635
socialism	0.120973
nationalism	0.104624
communism	0.103483
globalization	0.0962926
liberalism	0.0952578
imperialism	0.0947329
Fascism	0.0944107
consumerism	0.0903388
"market economy"	0.0862565
politics	0.0853214
materialism	0.0819877
individualism	0.0816939
greed	0.0813344
feminism	0.0800634
oppression	0.079411
culture	0.0790928
"political system"	0.0788627
Christianity	0.0787248
"free trade"	0.0785868
capitalist	0.0773599
colonialism	0.0773527
racism	0.0759696
governance	0.0758446
freedom	0.0756347
revolution	0.0749649
Nazism	0.0737664
economy	0.0734835
reform	0.0733885
slavery	0.0723058
deregulation	0.0722922
protectionism	0.0717121
Openness	0.0713862
secularism	0.0708581
"American Dream"	0.0707949
patriotism	0.070615
economics	0.0704431
"economic policy"	0.0703143
conservatism	0.0699154
society	0.0697642
civilization	0.069653
Islam	0.0694657
Buddhism	0.0690482
Catholicism	0.0686218
Journalism	0.0685605
"economic system"	0.0680981
cronyism	0.0678469
modernism	0.067607
prosperity	0.0670767
"power politics"	0.0664878
environmentalism	0.0661254
extremism	0.066122
"legal system"	0.0660997
dictatorship	0.0655799
fundamentalism	0.0654398
Marxism	0.0652791
"market reform"	0.0652234
Liberalization	0.0651165
technology	0.0636718
authoritarianism	0.0636452
philanthropy	0.0630905
activism	0.0630656
evil	0.063025
separatism	0.0629382
pluralism	0.0628714
"rule of law"	0.0627247
commercialism	0.0627158
multiculturalism	0.0626861
philosophy	0.0623775
Republicanism	0.0620121
isolationism	0.0619587
terrorism	0.0615527
religion	0.0615348
corruption	0.0612077
militarism	0.0609009
diplomacy	0.0608406
peace	0.0596812
integration	0.0595652
architecture	0.0595325
hegemonism	0.0593537
nature	0.0593523
anti-Semitism	0.0590213
regime	0.0590032
innovation	0.0588567
injustice	0.0588126
totalitarianism	0.0587456
ethic	0.0583294
"information age"	0.0582151
gambling	0.0580915
"market force"	0.0575568
internationalism	0.0573456
warfare	0.0571181
movement	0.0567875
apartheid	0.0567099
"way of life"	0.0566561
lifestyle	0.0564389
poverty	0.0562211
federalism	0.0561209
Judaism	0.0560954
arrogance	0.0560447
Liberty	0.0558996
Privatization	0.0558717
mentality	0.0558684
ideology	0.0558032
segregation	0.0556733
spirit	0.0556728
style	0.055329
nepotism	0.0552582
Creativity	0.0550248
science	0.0550042
tribalism	0.0545704
intolerance	0.0543227
e-commerce	0.0541071
exploitation	0.0539966
self-government	0.0539711
idealism	0.0538785
art	0.0536714
theory	0.0536527
computing	0.0534809
boom	0.0534327
orthodoxy	0.0534
hegemony	0.0533865
diversity	0.0533817
marketplace	0.0533527
stability	0.0531229
correctness	0.0531174
inequality	0.053079
violence	0.0530586
education	0.0529755
commerce	0.052965
tradition	0.0529627
repression	0.052761
instability	0.0527241
Zionism	0.0523761
affluence	0.0518326
"organized crime"	0.051682
entrepreneurship	0.0515847
hypocrisy	0.0515014
chaos	0.0514991
"slave trade"	0.0513942
"economic condition"	0.051281
immigration	0.051279
behavior	0.0511924
modernization	0.0511305
concept	0.0510579
democratization	0.050986
reformer	0.0508288
frugality	0.0506602
environment	0.0505244
crises	0.0502802
reality	0.0501708
bigotry	0.0498569
transparency	0.0495911
domination	0.0495424
dominance	0.0495361
"current system"	0.0495156
pricing	0.0493715
ideal	0.0493403
bureaucracy	0.0493293
tyranny	0.0492132
hatred	0.0492083
superstition	0.0491653
profession	0.0489379
militancy	0.0489262
excess	0.0488116
attitude	0.0487856
tolerance	0.0487456
xenophobia	0.0485697
intervention	0.0481052
tactic	0.0479845
competitiveness	0.0477988
suburbia	0.0477147
fashion	0.0477093
"space program"	0.0476253
brutality	0.0475176
"life style"	0.0475051
discrimination	0.0474837
"trading system"	0.0474532
monarchy	0.0474109
"world economy"	0.0472726
independence	0.0472472
censorship	0.0472219
partnership	0.0471512
"trade policy"	0.047084
homosexuality	0.0470365
faith	0.0470028
discipline	0.0468844
hedonism	0.0467414
technique	0.0466279
populism	0.0465679
Proliferation	0.0465197
"show business"	0.0465171
morality	0.0464466
"popular music"	0.0464223
malaise	0.0463892
"genetic engineering"	0.0463711
method	0.0462827
prejudice	0.0462612
witchcraft	0.0462514
))
(capitalist (desc 8128.88) (sims
oligarch	0.0841378
liberal	0.0820935
Capitalism	0.0773599
financier	0.0768521
Industrialist	0.0732323
"trade unionist"	0.0729368
reformer	0.072182
"big leaguer"	0.0721815
bigot	0.0706043
snob	0.0695579
tycoon	0.0684161
anarchist	0.0683672
"risk taker"	0.0676941
Communist	0.067302
atheist	0.0667959
centrist	0.0660383
feminist	0.0656897
radical	0.0644558
multimillionaires	0.0640708
bully	0.0640596
pacifist	0.0639813
entrepreneur	0.0630372
monopolist	0.0627378
leftist	0.0614321
speculator	0.0611634
Pol	0.0608604
fascist	0.0608
nationalist	0.060757
bastard	0.0604973
socialist	0.0593072
overachiever	0.0591947
"currency trader"	0.0590925
businessmen	0.0590179
idealist	0.0586062
"corporate executive"	0.0585801
environmentalist	0.0583167
outcast	0.0583095
ideologue	0.0580719
philanthropist	0.0578513
mogul	0.0572924
revolutionary	0.0570877
thinker	0.0570604
"chess player"	0.0567118
opportunist	0.0566574
businesswomen	0.0564766
banker	0.0562363
do-gooder	0.0556019
Marxist	0.0555614
manipulator	0.0553386
crook	0.0552793
populist	0.0552092
oligarchy	0.0551804
racist	0.0549133
idiot	0.0548442
"power broker"	0.0548356
outsider	0.0545363
nigger	0.0538867
brat	0.0536114
traitor	0.0535081
winemaker	0.0534243
marketer	0.0531495
"bad guy"	0.0531128
"sports fan"	0.0530803
agitator	0.0529701
intellectual	0.0529117
knucklehead	0.0527363
Litigator	0.0525658
"business executive"	0.0525163
goalscorer	0.0522677
geek	0.0516941
egomaniac	0.0516745
thief	0.0515948
queer	0.0514567
twit	0.0514553
baron	0.0513748
villain	0.0513583
nonentity	0.0512213
lunatic	0.0512027
technocrat	0.0508653
progressive	0.0508028
nerd	0.050728
moralist	0.0507124
individualist	0.0506187
"parlor game"	0.0503471
"prima donna"	0.0500301
"insurance firm"	0.0497969
"elected official"	0.0497623
"plantation owner"	0.0495055
secularist	0.0494929
"business leader"	0.0494824
carmakers	0.0493979
scapegoat	0.0493332
buff	0.0492494
"film producer"	0.0490119
elite	0.0489565
trader	0.0487093
Zionist	0.0486503
misfit	0.0486292
realist	0.0485464
thug	0.0485418
"movie star"	0.0485361
Iowan	0.048506
"fellow traveler"	0.0484771
"lending institution"	0.0484523
moron	0.0483409
optimist	0.0482555
"fashion designer"	0.0482036
internationalist	0.0481349
achiever	0.048122
ecologist	0.0480126
"trial lawyer"	0.0479413
theologian	0.0478893
traditionalist	0.0477972
zealot	0.0476511
bloke	0.047637
visionary	0.0474854
multinationals	0.0474716
"private corporation"	0.0473891
"big spender"	0.0473077
transnationals	0.0472979
wimp	0.0471963
bureaucrat	0.0469954
landlord	0.0469031
believer	0.0468657
conservationist	0.0468469
monarchist	0.0468323
hypocrite	0.0467165
troublemaker	0.0467073
punk	0.0465594
campaigner	0.0463831
socialite	0.0463769
enthusiast	0.0463188
developer	0.0463019
"heavy hitter"	0.0462849
automakers	0.0462807
whistle-blowers	0.0462567
millionaire	0.0462458
"black person"	0.0461537
EX-COMMUNISTS	0.0461378
"hockey player"	0.0461259
drinker	0.0459832
"fall guy"	0.0459239
vagabond	0.0458475
"venture capitalist"	0.0458064
underachiever	0.0457975
bodybuilder	0.045749
crony	0.0456378
"defense contractor"	0.0456092
horseman	0.045505
gangster	0.0454706
swindler	0.0454516
issuers	0.0454334
eccentric	0.0453516
jock	0.0452702
lender	0.0452628
joker	0.0452432
"interest group"	0.0452426
mutant	0.045206
acquirer	0.0451846
agnostic	0.0451488
profiteer	0.0451236
ballplayer	0.0450579
evangelist	0.0450423
entertainer	0.0449579
Gentile	0.0448993
whiner	0.0448951
lifer	0.0448592
"toy retailer"	0.0447852
"real estate broker"	0.0447564
statesmen	0.0446179
jerk	0.0445808
businessman	0.0445434
liar	0.0445388
"rock star"	0.0443954
painter	0.0443724
fiend	0.0443289
bumpkin	0.0443106
goal-scorer	0.0443046
shipbuilder	0.0442329
grabber	0.0442177
freak	0.0442101
coward	0.0441968
"jazz musician"	0.0439913
educator	0.0439597
dermatologist	0.0437484
Amateur	0.0437069
conglomerate	0.0436103
"public servant"	0.0435593
hotelier	0.043499
elitist	0.0434413
slob	0.0434275
despot	0.0433974
hard-liner	0.0433924
Cuban-Americans	0.0433875
songwriter	0.0433673
hobbyist	0.0433453
maniac	0.0433072
self-interest	0.0432863
pragmatist	0.0432626
martyr	0.0432265
))
(capitalization (desc 19293.9) (sims
"market value"	0.268226
valuation	0.159082
asset	0.151834
revenue	0.149235
"net profit"	0.145914
"pretax profit"	0.14187
"net income"	0.141244
"asset value"	0.136174
surplus	0.126122
value	0.12511
debt	0.121284
capitalisation	0.119745
profit	0.119437
earnings	0.117303
GDP	0.114956
outlay	0.114468
"price tag"	0.114357
turnover	0.114351
"book value"	0.113897
"operating budget"	0.112998
"budget deficit"	0.11094
"operating cost"	0.110345
volume	0.108984
expenditure	0.108134
payroll	0.107068
"purchase price"	0.106114
sale	0.105083
ratio	0.104382
"gross income"	0.103488
investment	0.102106
income	0.101916
deficit	0.101365
"trade surplus"	0.101082
"retail sale"	0.100135
total	0.0993953
"market share"	0.0986266
"gross national product"	0.0982761
receipt	0.0982177
"trade deficit"	0.0980095
endowment	0.0960565
"earning per share"	0.0956066
"gross domestic product"	0.0955615
deposit	0.0952564
billing	0.0942951
Tonnage	0.0942866
p/e	0.0927804
saving	0.092525
output	0.0923942
budget	0.0919786
reserve	0.0913258
"production cost"	0.0908978
"tax revenue"	0.0905918
indices	0.089995
NPLs	0.0897184
GNP	0.0882849
liquidity	0.0881345
spending	0.0875189
"dividend yield"	0.0869899
ridership	0.0863322
equity	0.0855581
savings	0.0853243
"occupancy rate"	0.085279
"profit margin"	0.0850341
Gross	0.084705
sum	0.0844308
"face value"	0.0844114
viewership	0.0842478
inflow	0.0838227
"labor cost"	0.0829082
workforce	0.0823713
payout	0.0815693
liability	0.0804759
"bad debt"	0.0793025
"capital stock"	0.0792333
premium	0.0792314
amount	0.0785725
"capital investments"	0.07857
"investment portfolio"	0.0785165
"debt load"	0.0784767
enrolment	0.0783529
portfolio	0.0781013
Pe	0.0773538
outflow	0.0773311
enrollment	0.0771051
"truck sale"	0.0770504
"growth rate"	0.0767711
added-value	0.0765672
borrowing	0.0760399
"fertility rate"	0.0755439
caseload	0.0754961
"selling price"	0.0753072
"capital expenditure"	0.0751359
readership	0.0750174
jackpot	0.074926
index	0.0749145
profitability	0.0747128
"personal income"	0.0745053
"poverty rate"	0.0740125
"national income"	0.073674
holding	0.0736371
FDI	0.0735535
dividend	0.0732415
"annual payment"	0.0726125
salary	0.0722219
"vehicle sale"	0.0721863
yield	0.0721425
loan	0.0718628
multiple	0.0717832
"gas price"	0.0717637
"land area"	0.0716633
sales	0.0716465
"credit line"	0.0712831
"pretax charge"	0.0706656
remittance	0.0705568
"non-performing loans"	0.0704229
repayment	0.070421
"voter turnout"	0.0702108
"steel production"	0.0700078
"tax cut"	0.0697579
"work force"	0.0696448
inventory	0.069412
"oil production"	0.0692385
payment	0.0692055
transaction	0.0689749
funding	0.068785
flow	0.0687677
"life expectancy"	0.0684358
backlog	0.0683738
"foreign direct investment"	0.0681326
allocation	0.0681136
"list price"	0.0678203
consumption	0.0674551
"elephant population"	0.0673701
acreage	0.0668243
"production capacity"	0.0666505
"labor force"	0.0664441
volatility	0.0664267
"unemployment rate"	0.0660615
"inflation rate"	0.0659767
"operating expenses"	0.0658011
"rate of growth"	0.0657463
"interest payment"	0.0657116
"rate of inflation"	0.0656116
population	0.0655685
exposure	0.065524
"consumer price index"	0.0652735
shareholding	0.0649099
"birth rate"	0.0648761
circulation	0.0648009
fee	0.064734
productivity	0.0644469
rent	0.0641199
appropriation	0.0640454
recapitalization	0.0637409
hoard	0.0636759
"bank rate"	0.0636601
"mortality rate"	0.0634572
"earnings growth"	0.0633788
attendance	0.063199
percentage	0.0630558
employment	0.0630116
"Philippine Stock Exchange Index"	0.0628498
"initial public offering"	0.0627996
annual	0.0627384
"medicare payment"	0.0627344
wealth	0.0625557
"trade balance"	0.0624992
"bank deposit"	0.0624934
"crime rate"	0.0622916
"market penetration"	0.0621141
wage	0.0621124
PRICETAG	0.0620719
repurchase	0.0620523
disbursement	0.0620239
"retail price"	0.0618308
"tax collection"	0.0618057
"average cost"	0.0617135
turnout	0.0617075
infusion	0.0617002
"growth prospect"	0.0614751
"money supply"	0.061407
intake	0.0613689
shortfall	0.0613397
"standard of living"	0.0611343
"mortgage rate"	0.0608895
projection	0.0608636
"price index"	0.0608263
"insurance premium"	0.0607859
"balance sheet"	0.0606447
"shareholder value"	0.0605483
Fortune	0.0602599
"marketing cost"	0.0600388
"retail price index"	0.0599841
"credit rating"	0.0599619
rating	0.0597804
"spending cut"	0.0596631
"take-home pay"	0.0596074
"defense budget"	0.0593988
write-off	0.0591679
subsidy	0.0590747
))
(Capitol (desc 50375.8) (sims
statehouse	0.210637
"U.S. Capitol"	0.192083
"city hall"	0.173624
courthouse	0.161905
palace	0.117586
"White House"	0.116473
building	0.114071
"Lincoln Memorial"	0.11068
"Capitol Hill"	0.10567
headquarter	0.104579
hotel	0.101858
church	0.100231
house	0.099014
mansion	0.0982657
stadium	0.0959698
campus	0.094733
embassy	0.0930426
park	0.0905226
Cathedral	0.0896714
residence	0.0871378
square	0.0870601
office	0.0860856
home	0.0832907
school	0.082814
"U.S. Embassy"	0.0812705
chamber	0.0807558
"police headquarters"	0.0801533
museum	0.0795614
mosque	0.0794691
"Washington Monument"	0.0789893
hall	0.0789647
Kremlin	0.0788761
downtown	0.077023
courtroom	0.076732
apartment	0.0765593
library	0.076024
"Tiananmen Square"	0.0748808
"police station"	0.0747383
"Great Hall"	0.0746715
airport	0.0743159
synagogue	0.0742651
"Oval Office"	0.0735007
town	0.0731056
hospital	0.0728083
auditorium	0.0718405
"Times Square"	0.0717942
parliament	0.0716321
"office building"	0.0714976
cemetery	0.0714196
mall	0.0712653
"Staples Center"	0.0711321
clubhouse	0.0704459
Ballpark	0.0703924
compound	0.0703628
Washington	0.0698609
"National Press Club"	0.0698575
complex	0.0694343
Dome	0.0693427
village	0.0689689
"Columbine High School"	0.0688946
Basilica	0.0688657
restaurant	0.0685599
"high school"	0.0684627
"town hall"	0.0682632
temple	0.0675924
consulate	0.0673124
room	0.0672538
"Presidential Palace"	0.0670464
arena	0.06652
prison	0.0664481
studio	0.0662319
street	0.0653744
Pentagon	0.0646331
capital	0.0643043
"Orient House"	0.0641634
Moscow	0.0641376
station	0.0638835
entrance	0.0638277
Tower	0.0637543
"community center"	0.0637451
classroom	0.0635661
"Central Park"	0.0634624
"State Department"	0.0633256
theater	0.0631552
Monastery	0.0623064
plaza	0.0617709
"parking lot"	0.0616755
store	0.0615344
garage	0.061505
ballroom	0.0614126
Manhattan	0.0613037
dormitory	0.0612667
Havana	0.0611332
"Buckingham Palace"	0.0610225
legislature	0.0608586
lobby	0.0599025
barrack	0.05979
"Mexico City"	0.0597515
gate	0.0592069
"train station"	0.0592003
"locker room"	0.0591672
Albany	0.0591597
"post office"	0.0589866
Reichstag	0.0589678
monument	0.0588976
"Yankee Stadium"	0.0587502
"Camp David"	0.0586447
garden	0.0585441
"Dodger Stadium"	0.0585205
chapel	0.0583228
Castle	0.0580316
gym	0.057998
Pristina	0.0578226
"World Trade Center"	0.0577311
Paris	0.057702
"city center"	0.0574874
"Union Station"	0.0574595
"Shea Stadium"	0.0574107
"apartment building"	0.057318
resort	0.0571468
memorial	0.0570467
jail	0.0570397
cafeteria	0.0569376
"Cape Town"	0.0568623
rotunda	0.0568367
neighborhood	0.0565582
Gaza	0.0561937
beach	0.0561001
"Madison Square Garden"	0.0560459
kitchen	0.0559476
shop	0.0557808
Dushanbe	0.0557603
"Los Angeles"	0.0556997
"New York"	0.055682
cabin	0.0556523
"Fort Worth"	0.0555119
Belfast	0.0553772
Rome	0.0553087
"rose garden"	0.0552108
Cooperstown	0.0552011
"Olympic Stadium"	0.0549699
"emergency room"	0.0548388
Warehouse	0.0547668
terminal	0.0547576
TALLAHASSEE	0.054702
"opera house"	0.0546969
Senate	0.0546606
"Downing Street"	0.0546529
"United Center"	0.054636
Coliseum	0.0545661
border	0.0545253
Dublin	0.0542895
barn	0.0542472
planetarium	0.0539429
gymnasium	0.053896
Kinshasa	0.0538312
shrine	0.0537251
Vatican	0.0534914
Columbine	0.0534518
tomb	0.0534313
ranch	0.0533269
BEIJING	0.0532787
dorm	0.0530455
clinic	0.0528688
bar	0.0527817
Ramallah	0.0524441
Jakarta	0.0522898
"country club"	0.052233
"New York City"	0.0520232
"state capital"	0.0518896
factory	0.0518298
Baghdad	0.0518026
bedroom	0.0516176
Fenway	0.0514675
camp	0.051467
lodge	0.051339
BELGRADE	0.0513131
Algiers	0.0512658
"elementary school"	0.0511812
gallery	0.0511552
sanctuary	0.0511341
Chicago	0.0510299
Tokyo	0.05093
"conference room"	0.0509289
Congress	0.0509039
Berlin	0.0508933
mausoleum	0.0508725
Atlanta	0.0508005
"Lincoln Center"	0.0507146
Grozny	0.050558
Boston	0.0505066
JERUSALEM	0.0503895
basement	0.0501796
LONDON	0.0501348
Austin	0.0501031
"state legislature"	0.0496349
"Supreme Court"	0.0493833
Seattle	0.0492377
hangar	0.0492319
morgue	0.0492311
))
("Capitol Hill" (desc 37826.3) (sims
"Beacon Hill"	0.123449
Capitol	0.10567
"Wall Street"	0.105467
campus	0.0914818
"White House"	0.0740651
behalf	0.0719825
floor	0.0702613
Kremlin	0.0669093
statehouse	0.0645112
"Judiciary Committee"	0.0632571
street	0.0629323
"city hall"	0.0618696
"House Judiciary Committee"	0.0617626
Washington	0.0613189
"West Coast"	0.0597931
"Long Island"	0.0595743
eve	0.0591876
"East Coast"	0.0584212
Senate	0.0573643
basis	0.0568596
island	0.0563656
"city council"	0.0561495
Congress	0.0554519
Broadway	0.0548528
television	0.0542119
"Upper East Side"	0.0529091
"talk show"	0.0526331
Internet	0.0520922
courthouse	0.052001
airwaves	0.0518922
continent	0.0518847
sideline	0.0511547
Moscow	0.0509082
Pentagon	0.0499572
BELGRADE	0.0481007
"witness stand"	0.047581
Manhattan	0.0475439
"Park Avenue"	0.0472981
Vatican	0.0465709
occasion	0.046569
Baghdad	0.0465007
"State Department"	0.0464905
Belfast	0.0456936
earth	0.0451416
"Middle East"	0.045114
"Security Council"	0.0444899
beach	0.0444652
"Fifth Avenue"	0.0444111
battlefield	0.0441901
Damascus	0.0441833
web	0.0441046
"gun control"	0.0438028
KIEV	0.0436367
hill	0.0432349
"New Hampshire"	0.0431005
lawmaker	0.0425099
LONDON	0.0425016
Council	0.0424852
Iowa	0.0423887
TV	0.0423465
shore	0.042216
CNN	0.0420315
"conference committee"	0.0418847
podium	0.0417754
panel	0.0417569
chamber	0.0416493
Tripoli	0.0416234
"PGA Tour"	0.0414624
"Staten Island"	0.0414379
"East Timor"	0.0412166
BRUSSELS	0.0411706
"Silicon Valley"	0.0411629
Tokyo	0.0411145
Havana	0.0409287
Mir	0.0408624
GOP	0.0407685
"Madison Avenue"	0.0405342
Okinawa	0.0404846
"finance committee"	0.0401922
Austin	0.0400746
palace	0.0400627
))
(capitulation (desc 6369.31) (sims
yielding	0.0985589
acquiescence	0.083077
concession	0.0828758
rejection	0.0742508
snub	0.0718148
ploy	0.071212
acceptance	0.0697175
"change of mind"	0.0685832
sop	0.0658357
abdication	0.0646245
sellout	0.0644251
repudiation	0.0641172
demotion	0.0602649
"double standard"	0.0594475
overture	0.05914
reversal	0.0586071
overreaction	0.0574134
counterbalance	0.0571439
betrayal	0.0561579
acknowledgment	0.0554846
compliance	0.0547409
negation	0.0542619
"olive branch"	0.0531354
counterweight	0.0528545
acknowledgement	0.052852
traitor	0.0526419
softening	0.0525903
whitewash	0.0525296
sham	0.0525125
normality	0.0523484
impossibility	0.0522543
steppingstone	0.0521733
"waste of money"	0.0521185
"waste of time"	0.0520211
renunciation	0.0517778
provocation	0.0516933
"rise to power"	0.051682
vindication	0.0510548
appeasement	0.0508307
exoneration	0.0505412
murder-suicide	0.0503076
carelessness	0.0502541
anathema	0.0501515
"change of direction"	0.0499016
blackmail	0.0496238
"blank check"	0.0496046
ultimatum	0.0495868
unwillingness	0.0493524
Gambit	0.0493102
rebuke	0.049055
turnabout	0.048827
cleansing	0.0487776
"solar eclipse"	0.0485551
abandonment	0.0483676
shoo-in	0.0483366
affront	0.048097
demagoguery	0.0479678
hypocrisy	0.0477088
pullout	0.047252
denigration	0.0472518
copout	0.0467124
interloper	0.046231
"hush money"	0.0461835
"policy change"	0.0461218
"market correction"	0.0458529
reprimand	0.0457716
u-turn	0.045744
distortion	0.0454157
thrall	0.0451972
affirmation	0.0451962
heartening	0.0449726
demilitarization	0.0448546
"turn of events"	0.0446111
fulfillment	0.044522
diminution	0.0443338
fealty	0.0439544
no-brainer	0.043522
submission	0.0434958
defiance	0.0432562
Cessation	0.0431542
culmination	0.0431421
giveaway	0.043104
nonsense	0.0430025
reformation	0.0429185
disrespect	0.0428067
ascendancy	0.0427705
"death warrant"	0.042596
manipulation	0.0424783
backsliding	0.0424379
adhesion	0.0423123
arrogance	0.0421742
allegiance	0.0421617
disintegration	0.0416803
pandemonium	0.0416215
"quid pro quo"	0.0415929
escalation	0.0415457
"shell game"	0.04144
reluctance	0.0413286
heresy	0.0411916
blunder	0.0411011
secession	0.0409923
reestablishment	0.0409827
"white elephant"	0.0409461
comedown	0.0409445
demise	0.0409242
"election fraud"	0.0408898
omen	0.040856
confirmation	0.0406922
wipeout	0.0406726
pleaser	0.0405657
rethinking	0.0404338
gibberish	0.0404038
"invasion of privacy"	0.040265
cataclysm	0.0402591
fulfilment	0.040256
realization	0.0402443
demobilization	0.0402329
perversion	0.040191
freebie	0.0400859
harassment	0.0400566
))
(capo (desc 1840.28) (sims
"John Gotti"	0.107847
turncoat	0.0950675
Vinci	0.081735
Riverhead	0.0809417
"Farrar, Straus &AMP; Giroux"	0.0795755
Berkley	0.0788382
"hit man"	0.0767886
HITMAN	0.0766145
"Chronicle Books"	0.0739208
"The Sopranos"	0.0728147
"Henry Holt"	0.0724827
"big leaguer"	0.0722391
"wise guy"	0.0696927
"Warner Books"	0.0682802
wage-earner	0.0677318
Algonquin	0.0658996
"Pocket Books"	0.0650356
"John J. Gotti"	0.0647863
Ballantine	0.0646858
"Tony Soprano"	0.064504
workman	0.0643616
"first pitcher"	0.0643062
"Houghton Mifflin"	0.0642601
kingpin	0.0628417
first-rounder	0.062824
Postmaster	0.0616152
mobster	0.0613762
goon	0.0609051
Bahia	0.0607303
stinker	0.060573
Doubleday	0.0593989
Snitch	0.0593348
Knopf	0.0583758
mafioso	0.0580017
"Broadway Books"	0.0579112
"fall guy"	0.0570761
"postmaster general"	0.0570712
"top dog"	0.0566384
"double agent"	0.056109
"talent scout"	0.0558269
"eye doctor"	0.0555347
"black person"	0.0555203
Schuster	0.054818
Delacorte	0.0542378
"big spender"	0.0541401
Vitoria	0.0541019
"police sergeant"	0.05407
player-coach	0.0534801
Wiley	0.053309
"good person"	0.0522638
Dias	0.0522019
bogeyman	0.0520291
Caravaggio	0.0518714
Hyperion	0.0516968
womanizer	0.0513465
goal-scorer	0.0508074
"St. Martin"	0.0505924
Abrams	0.0505148
superhero	0.0494188
Jian	0.0493341
punchline	0.0492038
"pain in the neck"	0.0491979
"waiting game"	0.0488257
typist	0.0487753
joker	0.0485452
HARDCOVER	0.0478385
"second person"	0.0475461
battler	0.0473414
MacMillan	0.0470043
"department employee"	0.0469908
"center of attention"	0.0468744
"NBA All-Star"	0.0468161
autocrat	0.0466981
perjurer	0.0464003
"staff sergeant"	0.0461173
"hockey coach"	0.0460325
"loan shark"	0.045777
"guessing game"	0.0455754
"Tim Fischer"	0.0454665
"car door"	0.0454284
preachy	0.0452981
Kurd	0.0452138
underling	0.0450693
paraplegic	0.0448881
subgenre	0.044874
informer	0.0446922
egomaniac	0.0445243
"telephone set"	0.0444446
Falcone	0.0444106
"John Anderson"	0.044307
vaulter	0.0438704
"altar boy"	0.0438638
Napoli	0.0437103
pariah	0.0436618
animator	0.0435235
"set piece"	0.0434874
breadwinner	0.0434504
"foot soldier"	0.0432701
schemer	0.0432513
Stefano	0.0431901
scoutmaster	0.0430381
comer	0.0429549
bullfighter	0.0428974
"foreign service officer"	0.0426772
"Black Panther"	0.0425331
"major leaguer"	0.0425119
"solicitor general"	0.0424819
Scribner	0.0424743
"professional golfer"	0.0424689
highflier	0.0424571
crapshoot	0.0422757
"Al Capone"	0.0422275
submariner	0.0420608
"heroin addict"	0.0419971
hermit	0.0419339
"Oxford University Press"	0.0419291
whistle-blower	0.0418224
panhandler	0.0416663
sociopath	0.0414647
"Airbus @@@"	0.0413155
"hard worker"	0.0412895
"Free Press"	0.0411986
"vacation spot"	0.041186
philanthropist	0.0411213
Trailblazer	0.0408652
"executive officer"	0.0408232
Englishwoman	0.0407729
clergyman	0.0407356
disharmony	0.0406884
concertmaster	0.0406804
D.J	0.040675
valedictorian	0.0406612
alderman	0.0405746
"Wyatt Earp"	0.0405622
manicurist	0.040552
"trump card"	0.0404789
bloomer	0.040465
"stock company"	0.0404016
non-issue	0.0403613
"voting machine"	0.0403147
whistleblower	0.0403082
goofball	0.0402672
watchman	0.0402605
Lucia	0.040235
"New Democrat"	0.0400212
))
(cappella (desc 1079.26) (sims
capella	0.3884
bluesy	0.107591
karaoke	0.105694
"Act @"	0.098783
gospel	0.0934226
"chamber music"	0.0895499
"big band"	0.0893402
"Lord's Prayer"	0.0883753
barbershop	0.0873394
"Amazing Grace"	0.0851485
Gershwin	0.08371
minimalist	0.0832786
hammy	0.0828303
"R&AMP;B"	0.0812069
harpsichord	0.0796194
Tex-Mex	0.07897
"Star-Spangled Banner"	0.0773632
recitative	0.0760078
percussion	0.0755202
saxophone	0.0751006
gangsta	0.0740095
Lullaby	0.0735507
"a few lines"	0.0729208
scat	0.0714552
kitschy	0.0704639
Tristan	0.0684777
"Happy Birthday"	0.0679997
"Jehovah's Witness"	0.067004
"Phil Collins"	0.0667825
sing-along	0.0664975
Haydn	0.0662581
Arab-American	0.0662099
interagency	0.0661827
Chorale	0.0656531
punchy	0.0653311
dirge	0.0650412
Monteverdi	0.064705
"German language"	0.0635506
psalm	0.0627802
"Cliffs Notes"	0.0620968
Sax	0.0618112
gingerbread	0.0616071
Wedgwood	0.0614203
cantata	0.0614096
Motown	0.0610404
bolero	0.0609212
Hildegard	0.060774
Yiddish	0.0604006
calypso	0.0601772
techie	0.0600903
yuletide	0.059862
trombone	0.0593253
bravura	0.058831
ragtag	0.0583568
klezmer	0.0579027
Brahms	0.0578928
"song and dance"	0.0573198
Verdi	0.0568918
Susanna	0.0568783
"folk song"	0.0565485
sassy	0.0565064
D-@	0.056414
"Damascus Declaration"	0.0558543
"Christmas carol"	0.0558481
"modern dance"	0.055649
WHA	0.0556236
fact-finding	0.0555527
Sunni	0.0551053
ditty	0.0545017
blackbird	0.0542812
Lucia	0.0540796
"Johnny Cash"	0.0540438
Americanized	0.0535083
"acoustic guitar"	0.0532113
no-frills	0.0529274
"Revised Version"	0.0526594
bare-bones	0.052597
Calla	0.0523999
Norma	0.0523124
downbeat	0.0521385
ole	0.0520082
bluegrass	0.0519389
Samson	0.0516265
Lagardere	0.050973
merengue	0.0505993
preservationist	0.0504721
banjo	0.0501347
"Lusaka Peace Accord"	0.049842
Prima	0.0496466
singsong	0.0496378
prentice	0.049412
Bess	0.0493394
Basso	0.0489837
collaborative	0.0489688
mariachi	0.0488821
rhythm-and-blues	0.0485926
Elf-Aquitaine	0.0484244
ASO	0.0484219
"folk dance"	0.0483135
Kirov	0.0481277
"Ray Charles"	0.0480484
Appalachian	0.0478937
harmonica	0.0478747
"wide screen"	0.0478092
nutshell	0.04769
Ives	0.0476801
Ellington	0.0476611
retro	0.0475554
Puccini	0.0474676
Spirlea	0.047408
late-'@@s	0.0473341
Usenet	0.0473079
Reggae	0.0468974
Bolshoi	0.0461406
"Paul Simon"	0.0460876
"civic duty"	0.0458213
"Office @@"	0.0454137
bebop	0.0452168
Gigahertz	0.0448379
Marguerite	0.0447961
"this @@@@"	0.044761
"Pocket Books"	0.0447274
Wagnerian	0.0446793
"loud noise"	0.0446081
Isolde	0.0444139
samba	0.0443598
Rossini	0.0439088
Hekmatyar	0.0437994
shattering	0.0434559
pulsing	0.0434399
absurdist	0.0434144
Blanche	0.0433058
Breton	0.0432198
"Jerry Garcia"	0.0432155
"chorus line"	0.0432011
"title role"	0.0431821
"Patsy Cline"	0.0431208
gridiron	0.0429835
Salome	0.0429827
Echols	0.0429139
fallback	0.0428998
"Grand Central"	0.042833
"Billie Holiday"	0.0427569
"theatrical production"	0.0426357
lapping	0.0424824
knockoff	0.0424391
"Thomson CSF"	0.0423323
gnome	0.0419546
Dido	0.0418192
"white supremacy"	0.0417445
PCI	0.04162
"American Jewish"	0.0416151
Irish-American	0.041526
playlist	0.0415082
Vivaldi	0.0413817
Abortion-rights	0.0413797
multichannel	0.0413743
"break of serve"	0.0413484
oldies	0.0412811
lute	0.041121
Leuchter	0.0410175
Requiem	0.0410076
Schubert	0.0407756
BLUETOOTH	0.0404407
monarchist	0.0403029
one-minute	0.0402858
Turandot	0.0402094
Tammy	0.0401891
Stardust	0.0401643
Midi	0.0400829
))
(Capps (desc 1259.55) (sims
Moakley	0.250958
Napolitano	0.239459
Waxman	0.214052
Delahunt	0.204849
McInnis	0.198115
Nadler	0.189506
Royce	0.188932
Deutsch	0.188348
Canady	0.188075
Engel	0.187615
Northup	0.187539
Danner	0.186403
Menendez	0.186024
McHugh	0.183466
COYNE	0.182279
Larson	0.181174
Bliley	0.178983
Doggett	0.176843
Markey	0.174641
Metcalf	0.17421
Weldon	0.164442
Lowey	0.162309
Goss	0.160323
Schaffer	0.160231
Meeks	0.156556
Goode	0.156049
McNulty	0.154901
McIntyre	0.152223
Chabot	0.149975
Dooley	0.148239
Klink	0.14339
Pickett	0.141542
Latham	0.140983
Gilman	0.140463
Chambliss	0.139457
Condit	0.136026
Isakson	0.133817
Dingell	0.133106
Hobson	0.132434
McIntosh	0.132287
Largent	0.131807
Linder	0.131433
PITTS	0.131407
Hastings	0.131158
Pelosi	0.130671
granger	0.128158
Moran	0.122836
Pryce	0.122412
Doyle	0.121835
Hersh	0.121278
Farr	0.120473
Kolbe	0.119506
Dixon	0.118148
Whaley	0.117725
Houghton	0.117709
mica	0.11602
Reyes	0.115717
Gutierrez	0.115616
McGovern	0.115497
McKeon	0.115434
Butterworth	0.115418
Phelps	0.11423
Serrano	0.114051
Portman	0.113999
Thurman	0.113369
Berman	0.111795
McCollum	0.111249
Callahan	0.109839
Mehta	0.109527
Packard	0.108858
Brady	0.108755
Stearns	0.108104
Rangel	0.107896
Lipinski	0.105341
Meehan	0.10477
McDermott	0.103991
Bono	0.103233
Cummings	0.102535
Neal	0.10246
Barrett	0.101976
Copeland	0.10091
Leach	0.100577
Watkins	0.100272
Levin	0.0992116
Tauzin	0.0990219
Grasso	0.0981155
Crowley	0.0975852
Rogan	0.0975421
Jayakumar	0.0972419
Velazquez	0.0970053
Barton	0.0954895
Strickland	0.0946198
Lawler	0.0944427
Loeb	0.0932278
Jenkins	0.0930196
McCarthy	0.0924024
Sherwood	0.0918773
Sawyer	0.0915744
Wilhelm	0.0915153
Kehoe	0.0912433
PML	0.0910991
Kasich	0.089919
Gephardt	0.0892753
Boles	0.0888508
burr	0.0886092
SHUSTER	0.0884769
Cao	0.08829
McLaughlin	0.0878684
Quinn	0.0870029
Armey	0.0868781
Scelzi	0.085764
Kraus	0.0857604
Ashrawi	0.0853304
Ogata	0.085112
Foley	0.0850976
Conyers	0.0848954
krueger	0.0848625
Evans	0.0844777
Speer	0.0841525
Ziegler	0.083831
Ganassi	0.0836032
O'Reilly	0.0835527
Quintana	0.0828395
jacoby	0.0823726
Markovic	0.0823595
Fleischer	0.0823401
Bodine	0.0815083
Hayes	0.081288
Olson	0.0807174
Narayanan	0.0805723
Sanford	0.0802137
Bonilla	0.0802066
Kumaratunga	0.0801314
Soto	0.0799398
Sweeney	0.0798623
Mathews	0.0796516
Onassis	0.0796449
Gogel	0.079623
Meissner	0.0792283
Mueller	0.0784162
Baird	0.0780842
Muir	0.0779339
Soriano	0.0774669
Okada	0.0774008
Strauss-Kahn	0.0770589
Sheppard	0.0769263
Holden	0.076355
Sanchez	0.0763505
Paxon	0.0759782
Mullen	0.0759062
Ikimi	0.0758917
Weis	0.0757444
Costello	0.0756788
Payne	0.0755029
"Earnhardt Jr."	0.0751291
Bellush	0.0750909
Finkel	0.0749975
Schmalensee	0.074997
Colbert	0.0748771
Ortiz	0.0747837
Hallinan	0.0747374
Fordice	0.0742775
Shriver	0.0738973
Emerson	0.0737692
Hayden	0.0732887
Brack	0.0728474
Chenoweth	0.0727516
Waltrip	0.0727309
Biffle	0.0727236
Kingston	0.0721533
Arbour	0.0719418
"Pakistan Muslim League"	0.0719005
McCartney	0.0718062
Paterno	0.0716783
Cunningham	0.0716165
Valenti	0.0715807
harrison	0.0714888
Davies	0.0714552
Baez	0.0714335
Rosenberg	0.0714124
O'Donnell	0.0711583
Ramsey	0.0711117
Zagat	0.0707141
Dougherty	0.0707043
Hiett	0.0705102
Fasano	0.0704642
Reynolds	0.0703683
Feldman	0.069972
Peterson	0.069787
fowler	0.0696279
Taft	0.0696197
Fink	0.0690174
"de Charette"	0.0689349
Shamshad	0.0687032
Meyers	0.0686651
Pirro	0.0684259
Aquino	0.0684053
Sherman	0.0684022
Rosenthal	0.0682814
Holt	0.0682216
))
(cappuccino (desc 4475.18) (sims
latte	0.281378
espresso	0.247444
lattes	0.189683
"hot chocolate"	0.139884
lemonade	0.137863
coffee	0.132482
Margarita	0.113868
MOCHA	0.113026
"iced tea"	0.111917
soda	0.110417
"fruit salad"	0.102696
"green tea"	0.101132
smoothie	0.0994356
croissant	0.0986093
doughnut	0.0909639
scone	0.0899664
"Diet Coke"	0.0897528
biscotti	0.0891776
tea	0.0889607
cola	0.0875824
pastry	0.0870004
"cranberry juice"	0.0867532
Beer	0.0864237
beverage	0.0846431
"spring water"	0.08402
"Mountain Dew"	0.0835124
Martini	0.0823063
refill	0.0812399
vodka	0.0810175
"cup of tea"	0.0803621
"orange juice"	0.0797026
champagne	0.0784385
cider	0.0780735
Cognac	0.0778509
oatmeal	0.0776294
pastrami	0.0759065
yogurt	0.0756279
Calvados	0.0754477
"Dom Perignon"	0.0750491
soup	0.0730686
coke	0.0723004
brownie	0.072127
whiskey	0.0720753
buttermilk	0.0720011
"soft drink"	0.0719953
"sparkling wine"	0.0717212
torte	0.0714567
"ice cream"	0.0706493
milkshake	0.0705675
"chocolate chip cookie"	0.0699797
bagel	0.068277
cooky	0.0678033
dessert	0.067762
pizza	0.0676442
"black tea"	0.0675713
brandy	0.0667638
liqueur	0.066455
pasta	0.0663214
"french fries"	0.0660572
tequila	0.0660356
"root beer"	0.0656912
Kool-Aid	0.0656248
"baked goods"	0.0654084
absinthe	0.0653974
Hamburger	0.0653124
cheesecake	0.0652683
taco	0.0649652
Pepsi	0.0643424
muffin	0.0626014
"vegetable soup"	0.0625621
"hot dog"	0.0624866
"soda pop"	0.0618759
"powdered milk"	0.0617321
tapa	0.0614911
cookie	0.0613501
Haagen-Dazs	0.0610719
"fruit juice"	0.060447
"apple juice"	0.0601301
whisky	0.0599719
scotch	0.0597721
sundae	0.0595135
"red wine"	0.0594638
candy	0.059418
refreshment	0.0592454
shredder	0.0587436
"chocolate cake"	0.058534
vanilla	0.0585139
"first cup"	0.0582433
Burrito	0.0582337
ale	0.0581524
Lasagna	0.0579476
snack	0.0574192
salad	0.0567882
"ginger ale"	0.0566761
"hot stock"	0.0563903
fudge	0.056308
burger	0.0561693
"mineral water"	0.056112
aperitif	0.0560629
custard	0.056032
rum	0.0559806
Chardonnay	0.0556214
popsicle	0.0548218
spaetzle	0.0547491
Budweiser	0.0541247
"cream puff"	0.054105
"peanut butter"	0.0539932
burgers	0.0539615
"coffee bean"	0.0531046
"apple pie"	0.0528437
cocktail	0.05284
nacho	0.0527055
cocoa	0.052468
Heineken	0.0523019
"alcoholic beverage"	0.0522577
popcorn	0.052119
pie	0.0519866
entree	0.0513352
mango	0.0511147
Guinness	0.0511026
raspberry	0.0510373
"Dairy Queen"	0.0505739
bourbon	0.0504458
sushi	0.0503073
"potato salad"	0.0496782
"white wine"	0.0495259
"fortune cookie"	0.0493001
Java	0.0484365
videogame	0.0478829
"potato chip"	0.0476499
helix	0.0473959
chamomile	0.0472068
cashew	0.0470681
Chili	0.0467614
Cigar	0.0467505
"frozen yogurt"	0.0465187
tortilla	0.046335
cosmopolitan	0.046312
"gefilte fish"	0.0462983
coconut	0.0462131
"golf equipment"	0.0461725
blueberry	0.0459264
merlot	0.0458925
pumpkin	0.0458427
pretzel	0.045735
meatloaf	0.0457112
lemon	0.0454886
gourmet	0.0453953
pint	0.0452931
granola	0.0452779
"chocolate mousse"	0.0450806
"loaf of bread"	0.0450025
"green salad"	0.0446914
quiche	0.0445912
bubbly	0.0445527
biscuit	0.0445442
cereal	0.0445368
apricot	0.0444649
"bubble gum"	0.0444474
"snack food"	0.0442501
waffle	0.0442225
"ice water"	0.0441859
grappa	0.0441479
Tai	0.0440211
mammogram	0.0439662
sausage	0.0439143
takeout	0.043712
six-pack	0.0435351
marshmallow	0.0433616
eggnog	0.0433205
karaoke	0.0431824
suction	0.0430332
widget	0.042887
"macadamia nut"	0.0426019
pesto	0.042582
"easy chair"	0.0425504
tofu	0.042547
"pumpkin pie"	0.0425371
"oreo cookie"	0.04252
sherry	0.0424733
omelette	0.0423807
"coffee cup"	0.0422533
"chicken wing"	0.0422472
Snapple	0.0418066
tangerine	0.0417713
suds	0.0417283
blackberry	0.041725
pecan	0.0416469
porridge	0.0416276
peach	0.0415531
broth	0.0415407
"sour cream"	0.0414667
salsa	0.0409472
sommelier	0.0406218
"money order"	0.040596
frankfurter	0.0404982
"roast beef"	0.040441
ravioli	0.0404306
"Beanie Babies"	0.0404246
hazelnut	0.0402836
))
(capri (desc 2335.94) (sims
drawstring	0.140145
"St. Helena"	0.0915548
tartan	0.0819746
Daryl	0.0790527
suede	0.0740501
Guernsey	0.0713096
hipster	0.0683906
"Abu Musa"	0.0680345
gaucho	0.0648078
Sakhalin	0.0646275
preppy	0.0639344
plaid	0.0638871
Sipadan	0.0635276
Kauai	0.0628092
docker	0.0626818
denim	0.0612599
nylon	0.0594282
"powder blue"	0.0587089
"olive green"	0.055672
shoal	0.0520857
"Left Bank"	0.0509268
Chino	0.0506805
Kyushu	0.0500705
snowboard	0.0496253
raver	0.049166
Madeira	0.0488007
Guadeloupe	0.0478386
Hispaniola	0.0470804
Phuket	0.0455611
Martinique	0.0450252
Palawan	0.0448527
antsy	0.0439793
Stardust	0.0436349
Pemba	0.0424962
Cozumel	0.0422724
Sicily	0.0404108
flannel	0.0403323
skateboard	0.0401424
))
(Capriati (desc 5610.96) (sims
Majoli	0.211585
Testud	0.203348
Henman	0.189809
Kournikova	0.18741
Corretja	0.18638
Pioline	0.183496
Sanchez-Vicario	0.182443
"Sanchez Vicario"	0.181981
Novotna	0.181889
Ivanisevic	0.181644
Kafelnikov	0.181053
Seles	0.176698
Bjorkman	0.176558
Stoltenberg	0.176337
Gambill	0.176187
Kuerten	0.175799
Enqvist	0.173168
Rusedski	0.17285
Hingis	0.170663
Moya	0.170536
Huber	0.170186
"Van Roost"	0.164897
Krajicek	0.163273
Davenport	0.161999
Agassi	0.16147
Coetzer	0.161443
Spadea	0.160806
"Jennifer Capriati"	0.159301
Safin	0.157714
Mauresmo	0.157615
"Serena Williams"	0.156546
Halard-Decugis	0.156415
Zvereva	0.156097
Medvedev	0.153514
Kiefer	0.151504
Dragomir	0.150745
Philippoussis	0.150355
Korda	0.149984
Berasategui	0.149398
Tauziat	0.149366
Gustafsson	0.148691
Ferreira	0.147737
Schnyder	0.147051
Mantilla	0.146341
"Australian Mark Philippoussis"	0.14016
"Anne-Gaelle Sidot"	0.140049
"South African Amanda Coetzer"	0.13897
Haas	0.138208
Frenchwoman	0.137781
Siemerink	0.137702
"Anna Kournikova"	0.137415
Kucera	0.136355
Spirlea	0.135839
"Dominique Van Roost"	0.135828
"Sandrine Testud"	0.135599
Lucic	0.134623
"Mary Pierce"	0.134498
Gimelstob	0.134352
"American Chanda Rubin"	0.13349
Puerta	0.13319
"American Todd Martin"	0.132234
Lapentti	0.131477
"Amanda Coetzer"	0.131407
Schalken	0.131095
"Scott Draper"	0.130563
"Tommy Haas"	0.130521
Bruguera	0.129501
Sampras	0.129484
"Martina Hingis"	0.128946
"Nathalie Tauziat"	0.128874
rios	0.128532
Swardt	0.127797
Johansson	0.127624
"Lisa Raymond"	0.127373
"Arnaud Di Pasquale"	0.126319
Kroslak	0.126199
Sidot	0.126175
Sugiyama	0.126089
Serena	0.125938
"Venus Williams"	0.125641
"Arantxa Sanchez Vicario"	0.125504
"Goran Ivanisevic"	0.125497
Woodforde	0.124762
Likhovtseva	0.124731
"Albert Costa"	0.124702
Schett	0.124443
Haarhuis	0.124285
"Felix Mantilla"	0.123965
Graf	0.123635
Raoux	0.123287
"Ai Sugiyama"	0.123068
"Elena Likhovtseva"	0.123067
"Chanda Rubin"	0.122989
Rafter	0.122613
"Anke Huber"	0.122519
Prinosil	0.122341
"Byron Black"	0.122206
"Steffi Graf"	0.122027
Dosedel	0.121703
"Iva Majoli"	0.12167
"Patty Schnyder"	0.121621
"Tamarine Tanasugarn"	0.121468
Hewitt	0.120756
"Sergi Bruguera"	0.120538
"American Michael Chang"	0.12036
Boilermakers	0.119801
"Arantxa Sanchez-Vicario"	0.119736
"Marc Rosset"	0.119452
"Monica Seles"	0.119408
"Gustavo Kuerten"	0.119364
"Franco Squillari"	0.119197
Ulihrach	0.1191
"Cedric Pioline"	0.118908
"Andre Agassi"	0.118748
Tarango	0.118724
"Yevgeny Kafelnikov"	0.118339
"Michael Chang"	0.117981
"Marcelo Rios"	0.117978
"Arnaud Clement"	0.117473
Dokic	0.116633
Rosset	0.116478
"Natasha Zvereva"	0.116225
"Patrick Rafter"	0.116141
"Carlos Moya"	0.116132
"Thomas Johansson"	0.115472
"Julie Halard-Decugis"	0.115358
Pierce	0.115195
"Todd Martin"	0.115192
"Conchita Martinez"	0.115146
"Jonas Bjorkman"	0.114811
"Mirjana Lucic"	0.114282
"Lindsay Davenport"	0.114029
"Marat Safin"	0.11401
Edberg	0.113902
Kasparov	0.113728
"Tim Henman"	0.113683
"Kenneth Carlsen"	0.113675
Meligeni	0.113591
"Amelie Mauresmo"	0.113446
"Alberto Berasategui"	0.113352
"Wayne Ferreira"	0.112847
"Alex Corretja"	0.112619
"Andrei Medvedev"	0.111764
"Guillaume Raoux"	0.111421
"Fernando Meligeni"	0.11092
Becker	0.11087
"Irina Spirlea"	0.110778
"Golden Hurricane"	0.110323
"Jana Novotna"	0.109912
Nicol	0.109417
"Hicham Arazi"	0.109286
"Mary Joe Fernandez"	0.108902
"Leander Paes"	0.108597
"Sebastien Grosjean"	0.108333
"Nicolas Kiefer"	0.107535
"Sabine Appelmans"	0.107531
"Juan Carlos Ferrero"	0.107316
"Magnus Norman"	0.107186
"Justin Gimelstob"	0.10685
Larsson	0.106343
"Thomas Enqvist"	0.106298
"Jelena Dokic"	0.106103
Fernandez	0.10605
"Jan-Michael Gambill"	0.105913
Swede	0.105774
Clavet	0.105398
Costa	0.105159
"Mark Philippoussis"	0.10487
Jansher	0.104634
"Ruxandra Dragomir"	0.104448
"Francisco Clavet"	0.104284
"Richard Krajicek"	0.104231
"Jerome Golmard"	0.103524
Chang	0.102932
"Daniel Nestor"	0.102897
"Galo Blanco"	0.102801
Appleby	0.102776
"Barbara Schett"	0.102577
"Adrian Voinea"	0.102493
"Nicole Pratt"	0.102448
"Florencia Labat"	0.101976
"Andrea Gaudenzi"	0.101826
"Elena Dementieva"	0.101736
"Magui Serna"	0.101492
"Dominik Hrbaty"	0.101377
"Wayne Black"	0.101215
"Alberto Costa"	0.101138
Yagudin	0.100998
Waldner	0.100962
Spaniard	0.100796
"Tar Heels"	0.100665
"Tatiana Panova"	0.100396
"Thomas Muster"	0.10031
"Davide Sanguinetti"	0.100211
Santoro	0.100198
Clement	0.0997619
Arazi	0.0991547
"Roger Federer"	0.0991355
"Magnus Gustafsson"	0.0991286
"Chris Woodruff"	0.0990489
))
(caprice (desc 2118.57) (sims
S-@@	0.0706443
vicissitude	0.0592254
"musical chair"	0.0573431
one-upmanship	0.0527794
hunch	0.0514313
Balkanization	0.051039
CFCs	0.0491914
cognoscenti	0.0490355
"background noise"	0.0489752
brinksmanship	0.0465065
frailty	0.045843
Utes	0.045767
depredation	0.0452981
"Hezbollah (Party"	0.0450935
"piece of music"	0.0447373
courting	0.0444492
impala	0.0441234
"guessing game"	0.0436498
carelessness	0.0429149
"engine failure"	0.0426937
sport-utility	0.0424623
"shell game"	0.041873
Tahoe	0.0417773
Corolla	0.0417642
misjudgment	0.040933
"chain letter"	0.0409306
"Mother Nature"	0.0409179
bugaboo	0.0407963
roleplaying	0.0407061
Repositioning	0.0406291
realpolitik	0.0405487
))
(capris (desc 1472.6) (sims
pullover	0.191027
turtleneck	0.147984
"leather jacket"	0.141878
"sweat pants"	0.140827
camisole	0.138289
trousers	0.137531
miniskirts	0.13669
suspender	0.135841
bluejeans	0.1335
overcoat	0.132899
trouser	0.131623
vest	0.128299
jean	0.127934
loafer	0.127533
tunic	0.126215
"sport shirt"	0.124118
blouse	0.123143
"sports jacket"	0.122464
denim	0.120642
"cowboy boot"	0.120542
"polo shirt"	0.119556
khaki	0.118535
sweatshirt	0.115908
"cocktail dress"	0.114516
pants	0.113274
waistcoat	0.112037
"dress shirt"	0.111998
"tennis shoe"	0.111485
slack	0.110668
raincoat	0.109824
sweater	0.109067
bustier	0.108352
coverall	0.107149
miniskirt	0.106751
legging	0.103864
armband	0.103775
"evening gown"	0.103654
headband	0.102556
"blue jean"	0.102409
"cowboy hat"	0.101409
undershirt	0.101292
turban	0.100797
bandanna	0.100215
brassiere	0.0999766
leotards	0.0988667
bellbottoms	0.0987508
kilt	0.098745
cardigan	0.0976706
Poncho	0.0975027
Chino	0.0961118
"baseball cap"	0.0948646
"hard hat"	0.0942622
anorak	0.0937126
"hot pants"	0.0930475
slacks	0.0929373
sandal	0.092432
parka	0.0909598
"black tie"	0.0902061
corduroy	0.0898851
windbreaker	0.08961
halter	0.0885176
jumpsuit	0.087017
beret	0.084725
moccasin	0.0839188
"ball gown"	0.0835549
"boxing glove"	0.082863
"rubber boot"	0.0827347
fedora	0.0826155
"combat boot"	0.0812486
pantsuit	0.0808379
tuxedo	0.080679
shorts	0.080663
frock	0.0800389
corset	0.079953
"blue ribbon"	0.0794602
"straw hat"	0.0790777
sportswear	0.0789561
"bowler hat"	0.0781496
Thong	0.0778804
sheath	0.0772123
"life vest"	0.0765542
"running shoe"	0.0759598
bikini	0.075446
sneaker	0.0750787
skullcap	0.0748912
"pants suit"	0.0746921
"bathing suit"	0.0746441
bodice	0.0737789
mitten	0.0737358
tux	0.0730965
"ski mask"	0.0724884
"fur coat"	0.0723951
slipper	0.0718791
sideburn	0.0713282
apron	0.0710491
knickers	0.0709287
"top hat"	0.0705864
beige	0.0698332
"bow tie"	0.0682739
bra	0.0682503
underwear	0.0682082
caftan	0.0677165
bib	0.0665412
choker	0.0664606
slicker	0.0661214
shawl	0.0657398
G-string	0.0655087
"life jacket"	0.0654135
"evening dress"	0.06471
eyeglass	0.0640207
"feather boa"	0.064016
sarong	0.0636356
chiffon	0.0633769
goatee	0.062571
Pantsuits	0.062226
tights	0.0620165
"dress uniform"	0.0618524
necktie	0.0614701
goggles	0.0613871
"felt hat"	0.0613168
"stiletto heel"	0.0607965
pajama	0.0605306
swimsuit	0.0603476
periwinkle	0.0596974
underpants	0.0596026
"coffee mug"	0.0594332
"key ring"	0.0592081
"business suit"	0.0591892
satchel	0.0589479
suede	0.0578098
waistband	0.0577746
smock	0.0576092
yarmulke	0.0574685
girdle	0.0572497
bodysuit	0.0567614
stocking	0.0566341
headgear	0.0564875
"tote bag"	0.0563608
turquoise	0.0546217
"soccer ball"	0.0543995
dreadlocks	0.0543812
wristband	0.0543059
outerwear	0.0534839
tweed	0.0530602
blinker	0.0529321
"evening bag"	0.0527641
"mink coat"	0.0526935
"dark glasses"	0.0526596
"trench coat"	0.0522348
bandana	0.0518187
toupee	0.0517682
flannel	0.0516598
plaid	0.0509556
chartreuse	0.0507795
nylon	0.0507367
cutoffs	0.0504604
platforms	0.050421
gauze	0.0503888
getup	0.0499645
banquette	0.0498714
loincloth	0.0498125
stripes	0.0495394
fishnet	0.0493333
endoscope	0.0490132
"name tag"	0.0485631
"wedding dress"	0.0483233
gloves	0.0479949
"polka dot"	0.0475699
neckline	0.0472614
earring	0.0471805
braid	0.0467758
Sari	0.0463067
chap	0.0462976
bolero	0.0461559
STETSON	0.0458916
barrette	0.0457833
panty	0.0453478
bathrobe	0.0453015
holster	0.0449043
"Star of David"	0.044775
eyeliner	0.0446285
"shoulder pad"	0.0445289
gingham	0.0445096
"nose ring"	0.0443374
"military uniform"	0.0438003
lingerie	0.0434104
hairdo	0.0432177
fuchsia	0.0430548
Hummer	0.0429805
wader	0.0428846
"warning signal"	0.0426821
kimono	0.0425547
hosiery	0.0424244
blinder	0.0423932
visor	0.0422952
knitwear	0.0422807
headdress	0.0422032
dictum	0.0421229
ascot	0.042038
"oxygen mask"	0.0416955
))
(Caprivi (desc 1126.46) (sims
Bougainville	0.151041
"North Maluku"	0.130944
Katanga	0.123952
Bekaa	0.123272
"Lagos State"	0.119689
Sakhalin	0.111028
Krasnoyarsk	0.110361
"Western Pacific"	0.10479
Murmansk	0.101099
Khabarovsk	0.0986946
Tigray	0.098037
Punjab	0.097835
Anjouan	0.0969664
Sindh	0.096558
Cabinda	0.0951894
Riau	0.0948935
Moro	0.0935171
Balochistan	0.0928546
Samara	0.0911752
Antioquia	0.0909698
Abkhazia	0.0891542
Maluku	0.088982
"Niger Delta"	0.0877391
Nagorno-Karabakh	0.0870332
"Ethnic Albanian"	0.0869852
Aceh	0.0869851
Kurdish	0.0853848
Decani	0.0845277
Pampanga	0.0844057
Somaliland	0.083283
Puglia	0.0830639
Drenica	0.082337
Herat	0.0822778
"Bank of Israel"	0.0817172
Sulu	0.0815876
"national capital"	0.081199
Sylhet	0.0810252
"Far Eastern"	0.0809155
Bamiyan	0.0803057
Vojvodina	0.0791054
Galilee	0.0787039
julienne	0.078077
Umbria	0.0779477
Zapatista	0.0776117
Mindanao	0.0774234
KwaZulu/Natal	0.0773124
Kashmiri	0.0761225
Putumayo	0.0757565
Bengkulu	0.0755114
"Lower Saxony"	0.0753807
Abkhazian	0.0749649
"Baltic Sea"	0.074297
Xenia	0.0742968
Hesse	0.0742459
"Mount Lebanon"	0.0735061
Mekong	0.073452
"New South"	0.0731049
Qomolangma	0.0727589
"Bank of Italy"	0.0726415
Tunceli	0.0723086
"Big Sur"	0.07226
Gulu	0.0720426
Cotabato	0.0719882
"East Java"	0.0715007
Okinawan	0.0713879
Kagera	0.0711426
CHT	0.0709483
Chiapas	0.0705612
"Delta State"	0.0699644
Balkan	0.0696207
Hakkari	0.0694401
Gisenyi	0.0693698
Posoltega	0.0692847
Kargil	0.0690154
BASQUE	0.0689386
"Rocky Mountain"	0.068725
"rift valley"	0.0683809
Novosibirsk	0.0682756
"Northeast Asia"	0.0680828
Timor	0.0676354
"Bank of Zambia"	0.0672424
"Chiang Rai"	0.0672123
"Philippine Central Bank"	0.0670926
Huambo	0.0669223
"Fort Worth-Dallas"	0.0663303
Mbeya	0.0660254
Jammu	0.0659074
PBC	0.0657278
"West Java"	0.0655783
BIE	0.0649657
"West Los Angeles"	0.064771
Tete	0.0647359
"North Ossetia"	0.0645692
"Quintana Roo"	0.0643355
Sofala	0.0641241
Kurdistan	0.0640142
"North Caucasus"	0.0639323
Saxony	0.063763
Taleban	0.0634335
Palawan	0.0634026
"Nile Delta"	0.0633038
Kaliningrad	0.0632988
Sandinista	0.0631861
"Bank Indonesia"	0.0631729
Maguindanao	0.062541
Piedmont	0.0624436
Amazonian	0.0624208
secessionist	0.0623489
"Golden Triangle"	0.0621131
CBK	0.0619546
"Central Java"	0.0614956
eugenics	0.0614138
"South Atlantic"	0.0610101
Alsace	0.0607726
"Beibu Gulf"	0.0606003
"French Alps"	0.0605456
Basilan	0.0603728
Lijiang	0.0594942
Bursa	0.05949
kibbutz	0.0592149
"Near East"	0.0592122
"Western Province"	0.0588183
Brittany	0.0583556
"Bank of Uganda"	0.0581511
"Central Bank of Nigeria"	0.0581055
Northland	0.0580534
Bundibugyo	0.0577453
Assisi	0.057726
Jayapura	0.0577096
Lorraine	0.057518
MRTA	0.0574039
"West Timor"	0.0573564
Aegean	0.0572211
Batticaloa	0.0569781
Ambon	0.0568735
"Dead Sea"	0.0568101
Pailin	0.0565922
Mtwara	0.0562391
"Pearl River Delta"	0.056122
Catalonia	0.0559303
"East Asian"	0.0555501
"Bay of Bengal"	0.0547988
Mid-Atlantic	0.0545353
"Yangtze River Delta"	0.0543573
"Lone Star State"	0.0542886
"Kosovo Albanian"	0.0541494
Uvira	0.0541192
"Reserve Bank of Australia"	0.0540023
"Hill Country"	0.053939
"CHIANG MAI"	0.0537921
Nevis	0.0537072
"Central Asian"	0.0535661
Jezzine	0.053511
"South Asian"	0.0534044
Norte	0.0531579
Daghestan	0.0527934
BOJ	0.0527204
Ruhengeri	0.0527188
"Lake Tahoe"	0.0526227
Baja	0.0524321
"Puget Sound"	0.052287
"Rio Grande Valley"	0.0522255
"Red Sea"	0.0521577
"Mississippi Delta"	0.0519573
Tanga	0.051857
Brcko	0.0518368
Caucasus	0.0518084
"East Kalimantan"	0.0516701
"North West Frontier Province"	0.0515612
Tachilek	0.0514908
Hubei	0.051397
Warri	0.0512422
Chesapeake	0.0512398
Leningrad	0.0510684
Darien	0.0509644
Maoist	0.0509531
Badme	0.0509175
Jaffna	0.0507778
"South East Asia"	0.0507711
"Irian Jaya"	0.0507514
Yekaterinburg	0.0505182
Puebla	0.0505099
Cochabamba	0.0504406
Timorese	0.0504262
"North Mogadishu"	0.0502259
"Eastern Slavonia"	0.050086
Phuket	0.0499956
Anatolia	0.0496593
"Northern Irish"	0.0495228
"Eastern Province"	0.0494806
Zairian	0.04944
"Bekaa Valley"	0.0493824
Batam	0.0490914
Druse	0.0490162
Kupang	0.0489418
"Polisario Front"	0.0488221
"quarter mile"	0.048784
"New Democrat"	0.0486841
"Aegean Sea"	0.0486777
"New Territories"	0.0485766
))
(capsaicin (desc 949.269) (sims
lycopene	0.187661
ephedrine	0.14175
dopamine	0.12645
tritium	0.122499
dioxin	0.122282
"free radical"	0.11283
benzene	0.109119
CFCs	0.104837
stanozolol	0.103246
Erythropoietin	0.0972804
MTBE	0.0917854
"nitrogen oxide"	0.0881999
hGH	0.0869672
nicotine	0.0868554
Botox	0.086013
creatine	0.0850284
"human growth hormone"	0.0847224
melatonin	0.0843852
pseudoephedrine	0.0839015
hydrogen	0.0837283
fungicide	0.0836958
acetaminophen	0.0834057
ozone	0.0829004
"chemical compound"	0.0810234
impurity	0.0807545
iodine	0.0806687
"nitric oxide"	0.0803893
PCBs	0.0803161
mitochondria	0.0802595
Endostatin	0.078692
"hydrogen sulfide"	0.0783311
"essential oil"	0.0780475
"citric acid"	0.0774365
"St. John's wort"	0.0772626
EPO	0.0767699
"sound wave"	0.0761204
Deet	0.0754817
nandrolone	0.0745722
"ultraviolet light"	0.07414
vermiculite	0.0736867
"carbon dioxide"	0.0735225
olestra	0.0734852
beryllium	0.0725164
"carbon monoxide"	0.0721636
DDT	0.0721092
"ultraviolet radiation"	0.071952
methamphetamine	0.0717177
Etcheverry	0.0705441
chloride	0.0700367
phosphorus	0.0691037
defoliant	0.0688199
hydrocarbon	0.0687904
Calcium	0.0680393
isotope	0.0671783
"hard drug"	0.0655883
PSA	0.0655435
antioxidant	0.0653005
ephedra	0.0648466
andro	0.0648123
Zonolite	0.0646871
carcinogen	0.0646243
"nitrous oxide"	0.0645627
"amino acid"	0.0645332
"growth hormone"	0.0642409
"high explosive"	0.0634203
carotene	0.0632883
fluoride	0.0630711
nitrogen	0.0626681
androstenedione	0.0624803
ultrasound	0.0624751
"coal gas"	0.0619315
ethanol	0.0618526
caffeine	0.0618313
tremolite	0.0615416
cadmium	0.0611667
formaldehyde	0.0602454
contaminant	0.060194
"beer drinker"	0.0598475
toxin	0.0598281
Phentermine	0.0597737
"over @@ million US dollars"	0.0592453
sunscreen	0.0591635
Sulphur	0.0591089
"air bubble"	0.0587918
preservative	0.0587907
methanol	0.0585357
sedative	0.0585017
Benecol	0.0584905
MDMA	0.0584063
tannin	0.0582735
"plastic explosive"	0.0580737
"packing material"	0.0577801
homocysteine	0.0577658
enzyme	0.0577294
REPELLENT	0.0577288
endoscope	0.057555
"fatty acid"	0.0573456
angiostatin	0.0568958
estrogen	0.0567762
magnesium	0.0563438
Sarin	0.0562977
"animal fat"	0.0555381
talc	0.0553371
radioactivity	0.0552304
"vitamin E"	0.0550756
chlorine	0.0550592
RNA	0.0550142
Celebrex	0.0549733
glucose	0.0549729
antihistamine	0.0546895
"brain wave"	0.0545546
acupuncture	0.05439
cyanide	0.0541688
cannabis	0.0539315
shredders	0.0536538
"raw data"	0.0536118
hemoglobin	0.0528212
interferon	0.0525374
nanograms	0.0524398
clenbuterol	0.0522197
sweetener	0.0517528
yeast	0.0515535
adenovirus	0.0513177
microorganism	0.051162
collagen	0.051037
semicolon	0.050889
"vitamin C"	0.0507162
antibody	0.0502482
"chemical agent"	0.0500947
sulfur	0.0499738
kava	0.0498993
spillage	0.049893
morphine	0.0496874
"electrical device"	0.0494747
"fuel system"	0.0494161
"razor blade"	0.0493863
venom	0.0491936
chromium	0.0491613
"sense of smell"	0.0490725
hypnosis	0.0489155
Mahomes	0.0488114
enhancers	0.0487677
insulin	0.0486349
gimmickry	0.0486058
GHB	0.0485271
monies	0.0483811
vibration	0.048193
"Red Violin"	0.0481622
gelatin	0.0481321
stimuli	0.0479037
"insect repellent"	0.0478635
"up to seven"	0.0472679
"about @.@ billion US dollars"	0.0472487
"solar energy"	0.0472427
urea	0.0471969
"particle accelerator"	0.0469974
"liquefied petroleum gas"	0.0468673
Menatep	0.0468482
CO@	0.0467618
arsenic	0.0465807
"three pitchers"	0.0465174
"gamma ray"	0.0464928
molar	0.0464234
rainwater	0.0463518
"electric current"	0.0458397
pronoun	0.0458338
polymer	0.045789
Zyvox	0.0455722
secretion	0.0455239
mammograms	0.0451632
"organic compound"	0.0451035
resin	0.0450125
Stealers	0.0448862
"water vapor"	0.044779
selenium	0.044526
lactose	0.0443786
pigment	0.0443417
penicillin	0.0442657
Apaches	0.0442315
allergen	0.0440429
"dry ice"	0.0439447
"confidential information"	0.0439376
ether	0.0438638
"almost one-third"	0.0436562
Paxil	0.043472
"ground water"	0.0434544
methane	0.0433867
"ammonium nitrate"	0.0432899
nitrate	0.0432391
"Antiquities Act"	0.0430987
"six degrees"	0.0430943
"grapefruit juice"	0.0430852
sawdust	0.0430841
raloxifene	0.04301
"sulfuric acid"	0.0428987
"two billion US dollars"	0.0428768
Proton	0.0427685
neutron	0.0426267
hyphen	0.0425279
"a few million dollars"	0.0424786
))
(capstone (desc 1859.04) (sims
coda	0.1141
postscript	0.0946754
sendoff	0.0700087
epilogue	0.0697345
distillation	0.0664829
steppingstone	0.0651227
culmination	0.0618055
"first pole"	0.0616536
send-off	0.0591847
accepting	0.0546438
bookend	0.0500386
denouement	0.0476695
"first four years"	0.0475147
"white elephant"	0.0473449
"birthday present"	0.046074
"popularity contest"	0.0460543
summation	0.0450699
"piece of furniture"	0.0446414
preachy	0.0438672
outhit	0.0436444
"house of cards"	0.0432096
"Chinese NPC"	0.043063
"three pitchers"	0.0428775
heartening	0.0427509
"exclamation point"	0.042561
Duchesne	0.0425451
no-brainer	0.0421289
shredders	0.0419586
"top dog"	0.0418434
"first basket"	0.0413122
leitmotif	0.0411298
CMAG	0.0409397
"dividing line"	0.0407589
Stratus	0.0407275
dissipation	0.0407072
"component part"	0.0406621
"public knowledge"	0.0405862
obstructionist	0.0402346
lovefest	0.0402133
catharsis	0.0402008
))
(capsule (desc 29531) (sims
"space capsule"	0.119835
pill	0.0984471
module	0.0914918
spacecraft	0.0904401
tablet	0.0881182
spaceship	0.0866002
container	0.076944
pellet	0.0755889
tube	0.0734504
balloon	0.0732851
"space vehicle"	0.0728422
packet	0.0715113
vial	0.0711454
"cargo ship"	0.0704423
craft	0.0696263
Satellite	0.0661126
submersible	0.0646739
vehicle	0.0646498
bag	0.0646248
envelope	0.064496
shuttle	0.0643356
submarine	0.0639256
cylinder	0.0634881
box	0.0624466
tank	0.062387
boat	0.0610228
electrode	0.0605818
airplane	0.0605362
aircraft	0.0603079
thumbnail	0.060287
powder	0.0602707
suitcase	0.0602049
condom	0.0595201
catheter	0.0592422
dose	0.0586435
vessel	0.0585271
supplement	0.057951
"time capsule"	0.0573616
coffin	0.0572438
canister	0.0558377
compartment	0.0555322
sensor	0.0555033
pouch	0.0550231
bottle	0.0544888
plane	0.0543471
helicopter	0.0538929
kit	0.0537552
Liquid	0.0533413
equipment	0.0529409
valve	0.0525758
placebo	0.0523528
barge	0.0519581
van	0.0517802
pod	0.0517418
warhead	0.0516843
Casket	0.0515588
rod	0.0512419
truck	0.0512279
cabin	0.050876
"booster rocket"	0.0505399
jar	0.050512
implant	0.0500966
device	0.0493557
particle	0.0491969
casing	0.0491552
Atlantis	0.0489846
antibiotic	0.0489828
syringe	0.0489327
freighter	0.048541
rocket	0.0484679
briefcase	0.0481207
tanker	0.0479506
transmitter	0.0478575
crew	0.0476961
generator	0.0476176
pipe	0.0476067
gondola	0.0475527
astronaut	0.0475014
Shell	0.0474149
telescope	0.0471198
plastic	0.0468753
screw	0.0463109
reactor	0.0461535
sailboat	0.0460316
Sedan	0.0458553
jet	0.0454662
medicine	0.0454477
recorder	0.045339
"oil tanker"	0.045265
shoe	0.0451834
"paper bag"	0.0451574
"space station"	0.0449947
streamer	0.0446041
trawler	0.0446001
inhaler	0.0445028
cage	0.0444226
notebook	0.0444015
medication	0.0442905
injection	0.0442563
"communications satellite"	0.0442271
tag	0.0440899
bus	0.044073
tent	0.043834
sub	0.0438241
egg	0.0438102
cargo	0.0438001
hovercraft	0.0436701
cab	0.0436311
trailer	0.0436019
pin	0.0434367
bucket	0.0433829
orbit	0.0433027
bundle	0.043237
hose	0.0430159
"black box"	0.0429941
quantity	0.0429794
Cruiser	0.0429195
Mir	0.0429192
crate	0.042894
cuff	0.0428508
missile	0.0428441
Robot	0.042738
"explosive device"	0.0426228
vitamin	0.0425421
sheet	0.0425113
"patrol car"	0.0425013
parachute	0.0424965
item	0.042415
"cargo container"	0.0423888
torpedo	0.0423605
trunk	0.0423035
"shopping bag"	0.0422746
rig	0.0422218
fluid	0.0421768
chip	0.0420773
tubing	0.0420728
battery	0.0419876
backpack	0.0418991
cartridge	0.0417284
prescription	0.0417203
pot	0.0417127
wire	0.0416633
"piece of paper"	0.0416189
tile	0.0416163
cell	0.0416054
dinghy	0.0415104
ore	0.0415071
Coin	0.0414484
glass	0.041425
detector	0.0413578
Lander	0.0413364
Vaccine	0.0413058
chamber	0.041256
explosive	0.04116
camera	0.0411384
"duffel bag"	0.0410579
tunnel	0.0409509
machine	0.0408771
patch	0.0408756
cockpit	0.0408055
pen	0.0407063
luggage	0.0407023
insulation	0.0406881
cigarette	0.0406825
radar	0.0406299
crewmen	0.040622
ammunition	0.0405819
"tv set"	0.0405305
bullet	0.0405187
tissue	0.0404692
thermometer	0.0404045
gadget	0.0403008
component	0.0401917
aspirin	0.0401217
"cargo vessel"	0.0400945
cartilage	0.0400774
))
(captain (desc 114199) (sims
pilot	0.120017
coach	0.115911
officer	0.106075
Colonel	0.105397
commander	0.099667
Sergeant	0.0989929
player	0.0977043
"general manager"	0.0976502
manager	0.0938502
Lieutenant	0.093189
"crew member"	0.0902748
skipper	0.0892306
owner	0.0874885
sailor	0.0866634
defenseman	0.0848809
chief	0.0833839
crew	0.0831921
veteran	0.0823295
scorer	0.0807449
"police officer"	0.0807049
General	0.0786887
President	0.0778455
goalie	0.077619
man	0.0766689
doctor	0.075811
soldier	0.0756895
co-pilot	0.0753886
leader	0.0747179
crewmen	0.0744155
team	0.0739926
member	0.0738046
striker	0.0727881
Mayor	0.0722332
driver	0.0717477
engineer	0.0705051
Admiral	0.0704794
Bos	0.0702523
diplomat	0.0700271
guard	0.0691295
minister	0.0689114
fan	0.0688723
businessman	0.0687987
"intelligence officer"	0.0683547
squad	0.0682727
starter	0.0679487
assistant	0.0670967
instructor	0.0670947
official	0.0670895
quarterback	0.0670516
journalist	0.0669642
director	0.0668775
goalkeeper	0.0667918
executive	0.0667187
"vice president"	0.0666788
star	0.0666637
father	0.0664732
commissioner	0.0663607
midfielder	0.0663064
agent	0.0658175
"army officer"	0.0653821
Ambassador	0.0651381
Governor	0.0651102
defender	0.064787
detective	0.06469
teammate	0.0646437
nurse	0.0645094
passenger	0.0644659
deputy	0.0641966
policemen	0.0641052
teacher	0.0641002
athlete	0.0640374
policeman	0.0635947
referee	0.0629712
operator	0.0629486
"military officer"	0.0628574
secretary	0.0627793
bishop	0.0626158
king	0.0624353
judge	0.0621702
superintendent	0.0620411
supervisor	0.0619539
marine	0.0616859
trainer	0.0616431
Premier	0.0613445
woman	0.060781
person	0.0603666
brother	0.0601394
senator	0.0600444
Johnson	0.0600149
"most valuable player"	0.0599013
champion	0.0597533
hull	0.059697
"finance minister"	0.0596885
surgeon	0.0595657
guy	0.0595377
"chief executive"	0.0591899
chairman	0.0590613
personnel	0.0589509
physician	0.0588715
forward	0.0588483
Williams	0.0588358
boy	0.0587297
police	0.058655
footballer	0.0586427
"flight attendant"	0.058485
lawyer	0.0583341
employee	0.0580918
mother	0.0579034
hero	0.0578872
Ronaldo	0.0578829
aviator	0.0578601
prosecutor	0.0577626
"Zinedine Zidane"	0.057695
worker	0.0573765
diver	0.057337
actor	0.0573026
son	0.0572267
friend	0.0570678
technician	0.0570367
wife	0.0568895
Hijacker	0.0568439
"truck driver"	0.0566426
husband	0.0566414
"foreign minister"	0.0566351
Chancellor	0.0561613
staff	0.0560826
fisherman	0.0559438
Congressman	0.0558375
astronaut	0.055744
someone	0.0557138
chef	0.0556667
politician	0.0556541
priest	0.0554582
smith	0.0554393
parent	0.0553699
Attorney	0.0553256
student	0.0552616
trooper	0.0551946
navigator	0.0551458
mechanic	0.0550729
people	0.0550675
controller	0.0549654
Cop	0.054909
editor	0.0548388
boss	0.0548093
rookie	0.0546251
MVP	0.0545585
photographer	0.0545455
professor	0.0543495
scientist	0.0541379
pastor	0.0538259
Speaker	0.0538246
American	0.0537303
defensemen	0.0537098
he	0.0535894
winner	0.0535812
Prince	0.053537
Jones	0.0533881
scout	0.0533447
Sheriff	0.0532829
"chief justice"	0.0532815
Cook	0.0532489
pope	0.0528481
senior	0.052845
two	0.0528322
rider	0.0526384
coordinator	0.0525569
aide	0.0525419
Stewart	0.0525108
banker	0.0524386
administrator	0.052385
Hunter	0.0523512
"commander in chief"	0.0523111
professional	0.0522422
defendant	0.0522295
legislator	0.0521096
"secretary of state"	0.0521011
"cabinet minister"	0.0520643
goaltender	0.0516197
Fishermen	0.0514116
national	0.0513682
reporter	0.0513623
superstar	0.0513506
Yeltsin	0.0513504
inspector	0.0513396
swimmer	0.0513355
rabbi	0.0513346
CEO	0.0512889
Robinson	0.0512666
citizen	0.0512382
fleet	0.0512326
Parcells	0.0511536
host	0.0511031
fighter	0.0510064
umpire	0.0509971
Taylor	0.0509165
lawmaker	0.0508171
treasurer	0.0507677
publisher	0.0507075
clerk	0.0506404
))
(captaincy (desc 1363.74) (sims
speakership	0.109525
directorship	0.100545
"security clearance"	0.0869229
ministership	0.0838555
chairmanship	0.0775253
"right to vote"	0.0736464
"David Seaman"	0.0668265
"ownership stake"	0.064493
"Ian Wright"	0.0630198
"controlling interest"	0.0596741
Ince	0.0591892
"law practice"	0.0591069
Premiership	0.058145
"Stan Collymore"	0.0571696
"Paul Gascoigne"	0.0560085
"parcel of land"	0.055762
outhit	0.0551569
seniority	0.054234
"one inch"	0.0542108
"coaching job"	0.0538661
"another @@.@ percent"	0.0537454
professorship	0.0537324
gavel	0.053315
"Sinai Peninsula"	0.0532291
explosiveness	0.0531065
"Corliss Williamson"	0.0528242
knighthood	0.0518654
co-captain	0.0512522
governorship	0.0508487
dyslexia	0.0496313
"all clear"	0.049602
"Paul Ince"	0.0494837
"leadership role"	0.0494496
becuase	0.0488868
mayorship	0.0488478
housework	0.0487277
play-calling	0.0481729
SATs	0.0481544
relegation	0.0479919
linemate	0.0478304
"won-lost record"	0.0477938
"Kevin Keegan"	0.0475991
"stage name"	0.0472907
perquisite	0.046813
"Bafana Bafana"	0.046576
selector	0.0464447
faceoffs	0.0463472
"computer code"	0.0463104
"home rule"	0.0462867
sobriquet	0.0459569
abdication	0.0455695
"tax income"	0.0455286
"military commission"	0.0454852
"Steve McManaman"	0.0453636
"presidential term"	0.0452529
"trump card"	0.0452117
"won @"	0.0450686
"Paul Merson"	0.044822
Zico	0.0447887
"Bank of Japan Ltd."	0.0445709
"Super Eagles"	0.0441761
luster	0.0441317
"Benoit Hogue"	0.0437853
"Jordan Valley"	0.0436311
largesse	0.0436008
SIESTA	0.0433143
"good spirit"	0.0433012
"World Boxing Association"	0.0430591
"won nine"	0.0430012
AEK	0.0428483
first-rounder	0.0423024
"leadership position"	0.0420236
"first points"	0.0419731
"Mark Butcher"	0.041914
oomph	0.0419066
"Abu Dis"	0.0418397
"Dan Cloutier"	0.0418294
"Horned Frogs"	0.0417246
"Bobby Charlton"	0.0415441
"Hao Haidong"	0.0414508
"Alessandro Del Piero"	0.0414207
"Kuril Islands"	0.0412954
Golan	0.0412186
bloop	0.0411598
"Mike Timlin"	0.0410409
"fishing license"	0.0410246
fandom	0.0409838
"Bryan Berard"	0.04093
feistiness	0.0406521
"Peter Forsberg"	0.0405094
mind-set	0.0404952
McGrady	0.040441
"Teddy Sheringham"	0.0404176
"Alexei Yashin"	0.0403146
"sense of balance"	0.0402669
"Thomson CSF"	0.0402632
))
(caption (desc 9867.67) (sims
disclaimer	0.0865113
text	0.0814087
commentary	0.0749633
subtitle	0.0729829
"floor plan"	0.0708263
paragraph	0.0707731
essay	0.0667447
inscription	0.0658993
placard	0.064414
preface	0.063361
headline	0.0625045
illustration	0.0624621
byline	0.0600223
description	0.0570885
numeral	0.0565145
notation	0.0551515
foreword	0.0536811
blurb	0.0524162
pamphlet	0.0521727
"name tag"	0.05155
"tag line"	0.051477
poster	0.0514612
editorial	0.0514344
proviso	0.0512941
"bar code"	0.0512361
afterword	0.0507671
"written material"	0.0507163
narration	0.0504166
postscript	0.0499048
translation	0.0497115
graphics	0.0489498
drawing	0.048771
phrase	0.0486057
epilogue	0.0484983
summary	0.0483538
booklet	0.0480547
slogan	0.0478881
brochure	0.0478154
memo	0.0475502
missive	0.047078
glossary	0.0464186
"newspaper article"	0.046049
excerpt	0.0460393
"news article"	0.0458801
keyword	0.0457209
"magnifying glass"	0.0454277
lyric	0.0452102
"news release"	0.0451755
cartoon	0.0447419
obituary	0.0446678
obit	0.0445963
button	0.0445141
footnote	0.044409
poem	0.0443253
"return address"	0.04429
sketch	0.0440367
ID.	0.0438875
prospectus	0.0436583
guidebook	0.0436383
prose	0.0434418
layout	0.0434244
proverb	0.0431958
annotation	0.042931
"newspaper advertisement"	0.0422739
plaque	0.0422049
Sidebar	0.0421554
sticker	0.042082
"documentary film"	0.0418768
animation	0.0417697
quotation	0.0415892
posing	0.0412099
verse	0.041005
Scripture	0.0408315
API	0.0405787
lettering	0.0404828
logo	0.0400479
))
(captive (desc 26130.7) (sims
hostage	0.254704
prisoner	0.1437
"prisoner of war"	0.140094
detainee	0.138238
POW	0.126674
"political prisoner"	0.105087
"Iranian POWs"	0.0975372
"Iraqi POWs"	0.0947808
wounded	0.0927855
civilian	0.091408
servicemen	0.0887194
"political detainee"	0.0878179
soldier	0.086507
captivity	0.0826324
inmate	0.0795001
"crew member"	0.0777274
militant	0.0776696
Filipino	0.0758453
peacekeeper	0.0750462
suspect	0.0725343
Iranian	0.0722355
refugee	0.0721801
victim	0.0720697
hostage-takers	0.0717271
guardsmen	0.0715489
gunmen	0.0714262
guerrilla	0.0704711
crewmen	0.0694126
rebel	0.0693201
soliders	0.0687647
comrade	0.0687578
villager	0.0686371
airmen	0.0685449
slave	0.0677281
bandit	0.0671032
passenger	0.0665244
crewmembers	0.0657872
Malaysian	0.0653056
sailor	0.0647975
kidnapper	0.064698
Lebanese	0.0645197
diplomat	0.0637525
westerner	0.0634508
"house arrest"	0.0629543
occupant	0.0624405
"army officer"	0.0622426
"military officer"	0.0621109
policemen	0.0620998
dissident	0.0619808
"dead body"	0.061193
national	0.0607178
defendant	0.060584
journalist	0.0605213
miner	0.0603221
"Abu Sayyaf"	0.0600749
extremist	0.0599597
accomplice	0.0596272
attacker	0.0593416
"foster child"	0.0591692
Hijacker	0.0590804
deserter	0.0590238
fighter	0.0589386
bystander	0.0582243
citizen	0.0581885
fugitive	0.0580835
troop	0.0580255
"Iranian Jews"	0.0576737
militiamen	0.0570752
protester	0.0568677
terrorist	0.0561496
starts.	0.0557936
foreigner	0.0557642
seamen	0.0555804
Gusmao	0.0555366
Palestinian	0.0554433
Babitsky	0.0552977
abductor	0.0550482
returnees	0.0549853
"family member"	0.0547627
pawn	0.0545323
tourist	0.0542801
casualty	0.0542344
"staff member"	0.0540382
"North Koreans"	0.0539473
"military personnel"	0.0537378
ambush	0.0537194
stronghold	0.0536581
commando	0.0535585
Serbs	0.0535017
Ugandan	0.0534677
"Kosovo Albanians"	0.0530989
siege	0.0530725
Fishermen	0.0530343
combatant	0.0528106
evacuee	0.0526896
demonstrator	0.0526181
relative	0.0524499
policeman	0.0524115
criminal	0.0522802
Muslim	0.0520266
follower	0.0518764
officer	0.0518289
Albanian	0.0516968
nun	0.0515216
kidnapping	0.051354
pilot	0.0513143
offensive	0.0512935
Kosovars	0.0511311
"murder suspect"	0.0510876
"hunger strike"	0.0510434
skydiver	0.0508769
participant	0.0507142
firefighters	0.0506844
Briton	0.0506671
captor	0.0503313
fire-fighter	0.0503218
survivor	0.0502396
hideout	0.0500863
"coal miner"	0.0500792
pilgrim	0.0500015
homeless	0.0499991
innocent	0.0499651
commander	0.0498743
Jew	0.0498545
fighting	0.0498471
protestor	0.0498222
sympathizer	0.049655
abduction	0.04961
"political leader"	0.0491919
migrant	0.0490546
spy	0.0490468
personnel	0.0490137
Iraqi	0.0489122
patient	0.0487242
worshipper	0.0485889
tribesmen	0.0485855
martyr	0.0484788
delegate	0.0483202
"base runner"	0.0482783
"intelligence agent"	0.0482607
companion	0.0482015
militiaman	0.0480951
marcher	0.0480534
Jordanian	0.0480242
contestant	0.0478834
conscript	0.0478618
lair	0.0478297
"prison guard"	0.0477881
"combat mission"	0.0477652
collaborator	0.0477425
noncombatant	0.0477205
assailant	0.0477155
incursion	0.0476045
immigrant	0.0475781
girl	0.0475182
servant	0.0474996
robber	0.0474579
grandchildren	0.0474569
MP	0.0474069
Yassin	0.0473316
"university student"	0.047327
"police officer"	0.0471805
expatriate	0.0470436
Haitian	0.047017
activist	0.0469788
supporter	0.0467637
Schilling	0.0467362
Kurds	0.0466092
"drug trafficker"	0.0465009
mercenary	0.0464789
castaway	0.046467
Concordes	0.0462281
"military man"	0.0460887
astronaut	0.0460404
baby	0.0460198
rescuer	0.045939
Davidians	0.0459114
serviceman	0.0458312
accused	0.0457953
custody	0.0456047
evangelist	0.0455769
"seeded player"	0.0455553
climber	0.0455313
Kuwaiti	0.0455057
"big spender"	0.0454667
guerilla	0.0453943
"cabinet minister"	0.045279
ally	0.0452572
schoolmate	0.0451598
observer	0.0451306
Kenyan	0.0450953
Frenchmen	0.0449678
bomber	0.0448558
animal	0.0447779
prostitute	0.0447186
"New Zealander"	0.0446108
"Mahendra Chaudhry"	0.0446079
Zambian	0.0445296
army	0.0445006
campaigner	0.0444676
))
(captivity (desc 17017.1) (sims
detention	0.103294
captive	0.0826324
Wild	0.081336
"prison camp"	0.0792239
custody	0.0790489
zoo	0.0776747
captor	0.0757202
confinement	0.0713103
hostage	0.0651028
"Beijing Zoo"	0.0631755
ordeal	0.0631283
lair	0.0614893
abduction	0.0614612
kidnapping	0.0609267
imprisonment	0.0600337
exile	0.0598637
incarceration	0.0598611
"house arrest"	0.0589967
ambush	0.0567107
bondage	0.0549617
"good condition"	0.0546866
slavery	0.0541656
"concentration camp"	0.0528098
siege	0.0507867
repression	0.0507513
atrocity	0.0506461
cage	0.0494956
jungle	0.0493266
hiding	0.0493227
mistreatment	0.0483675
kidnapper	0.0474706
Jolo	0.0469233
"Abu Sayyaf"	0.0460938
"military campaign"	0.0456777
isolation	0.0455453
hideout	0.0454191
occupation	0.0454027
existence	0.045166
barrack	0.0451265
coma	0.0451257
"good health"	0.0449753
interrogation	0.0447537
"prisoner of war"	0.0445523
massacre	0.044276
oppression	0.0441011
Grozny	0.0435449
"state prison"	0.0435053
"military position"	0.042916
"psychiatric hospital"	0.0422381
hibernation	0.0418422
"public eye"	0.0416817
hostage-taking	0.0415355
hardship	0.0413154
womb	0.0412299
stronghold	0.0410899
"internment camp"	0.0405493
lockup	0.0403511
persecution	0.0401307
))
(captor (desc 9641.99) (sims
kidnapper	0.183461
abductor	0.166108
hostage-takers	0.120359
gunmen	0.119221
Hijacker	0.114253
attacker	0.107449
assailant	0.105966
"Abu Sayyaf"	0.104719
"prison camp"	0.094573
rebel	0.0923081
guerrilla	0.0922489
robber	0.0912233
gunman	0.090237
militant	0.0895347
Bolshevik	0.0887203
guerilla	0.0883904
thug	0.0874405
TORTURER	0.0871381
bandit	0.0867141
"New People's Army"	0.0855886
sniper	0.0854142
"security force"	0.08303
"prison guard"	0.0824726
jailer	0.0809348
tormentor	0.0780822
insurgent	0.0772034
militiamen	0.0766789
captivity	0.0757202
"prisoner of war"	0.0754335
extremist	0.074651
terrorist	0.0742117
militia	0.0714081
occupier	0.0711706
commando	0.0705643
mob	0.0705249
paramilitary	0.0703645
OPM	0.0702333
"Khmer Rouge"	0.0701434
policemen	0.069253
"secret police"	0.0685867
"police officer"	0.0674778
intruder	0.067306
tribesmen	0.0664821
Taliban	0.0663282
infiltrator	0.065414
separatist	0.0653915
"firing squad"	0.0652723
comrade	0.0650018
Serbs	0.0649052
"federal agent"	0.0646974
ETA	0.0641307
poacher	0.0639921
gang	0.0637997
schoolmate	0.0637965
"Moro Islamic Liberation Front"	0.0628757
Nazi	0.0618947
Hezbollah	0.0611457
henchmen	0.0610058
"Hezbollah (Party"	0.0599493
co-worker	0.0593844
assassin	0.0592646
villager	0.0583869
KLA	0.0582291
resister	0.0577092
NDF	0.0576662
protester	0.0574386
interrogator	0.0570625
"Kosovo Liberation Army"	0.056901
taker	0.0564096
invader	0.0558539
policeman	0.0556234
"Revolutionary United Front"	0.0552275
"Sudan People's Liberation Army"	0.0550786
Palczynski	0.0550351
classmate	0.0550326
prisoner	0.0546712
"security guard"	0.0545246
tacklers	0.0543279
"Zapatista National Liberation Army"	0.0541844
enemy	0.0539707
"military police"	0.0534737
"Albanian Kosovo Liberation Army"	0.0532168
oppression	0.0530966
"military leader"	0.0526888
SLA	0.052506
demonstrator	0.0523864
RUF	0.0522605
warlord	0.0521905
inmate	0.0519845
Stealers	0.0519712
"Armed Islamic Group"	0.0515348
detainee	0.0512382
fundamentalist	0.051128
perpetrator	0.0508878
settler	0.0507882
"National Democratic Front"	0.0506675
countrymen	0.050526
"Revolutionary Armed Forces"	0.0504863
raider	0.0504107
captive	0.0503313
secessionist	0.0501967
Amal	0.0501616
MILF	0.0501354
skinhead	0.0501332
looter	0.0499199
"intelligence agent"	0.0498471
stepfather	0.049795
combatant	0.0496527
mutineer	0.0494491
rioter	0.0493847
medic	0.049241
oppressor	0.0487314
LTTE	0.048501
"church member"	0.0484886
vigilante	0.0482055
escapee	0.0480976
Hamas	0.0476106
"supply line"	0.047147
"secret service"	0.0471343
Cop	0.046843
protestor	0.046786
"military force"	0.0467091
Killer	0.0463703
constituent	0.0461376
gangster	0.0460567
"Nazi Germany"	0.046015
Baumhammers	0.045998
rescuer	0.0459511
Agca	0.0459306
expansionism	0.0458826
FARC	0.0458348
"Liberation Tigers of Tamil Eelam"	0.0458178
aggressor	0.0454249
brethren	0.0452682
boyfriend	0.0451713
bodyguard	0.0451443
Klebold	0.0451348
hideout	0.045104
"Yugoslav Army"	0.0449611
NPA	0.0448618
onslaught	0.0447441
smuggler	0.0444866
"family member"	0.0444846
"federal official"	0.044391
censor	0.0443756
hard-liner	0.0443177
revolutionary	0.0441981
hostage	0.0440961
subordinate	0.0440569
mujahedeen	0.0440048
Abubakar	0.043942
categorization	0.0438742
insurgency	0.04363
trooper	0.0436142
squatter	0.0436098
Soviets	0.0435593
Gossage	0.0435158
"Fidel Castro"	0.0435003
mugger	0.0434674
sympathizer	0.0434031
"National Liberation Army"	0.0433897
Klansmen	0.0433728
gunfire	0.043369
"gray wolf"	0.0433245
"white man"	0.0431622
operative	0.0431104
servicemen	0.0431084
atrocity	0.0428648
"Afghan Taliban"	0.0428091
burglar	0.0427633
insurrection	0.0426642
Iraqi	0.0425942
U-boat	0.0425642
"Eric Harris"	0.0425355
boss	0.0425006
saboteur	0.0423515
interlocutor	0.0423432
nationalist	0.0422897
Shinn	0.0422524
bomber	0.0422265
pirate	0.0422221
ADF	0.0421084
collaborator	0.0418486
Shareh	0.0418054
"military position"	0.041787
sailor	0.0417587
creditor	0.0416642
Islamists	0.0415712
questioner	0.041506
cleric	0.0414355
Zapatistas	0.0412297
paramour	0.0411721
Syrian	0.0411357
Saddam	0.0410552
ruler	0.0408801
"gas chamber"	0.0408709
foe	0.0408478
hardliner	0.0407974
"Lord's Resistance Army"	0.040759
accomplice	0.0407347
))
(capture (desc 29046.6) (sims
arrest	0.161897
abduction	0.119329
detention	0.113255
killing	0.107338
seizure	0.102366
Execution	0.100177
assassination	0.0995625
massacre	0.0973581
raid	0.0950802
expulsion	0.0919865
slaying	0.0916
disappearance	0.0900429
incursion	0.0895343
kidnapping	0.0872286
bombing	0.0847945
ouster	0.0841249
extradition	0.0836738
shelling	0.0794071
surrender	0.0793115
deportation	0.0780759
ambush	0.0778871
whereabouts	0.0771518
Death	0.0760724
takeover	0.075236
firing	0.0731412
atrocity	0.0727082
crackdown	0.0721299
hijacking	0.0712051
shooting	0.0711226
invasion	0.0707239
incident	0.0705605
destruction	0.0701566
defection	0.0695431
torture	0.0693219
assault	0.0685839
handover	0.0685599
overthrow	0.0684562
persecution	0.0680966
removal	0.0680221
murder	0.0679308
slaughter	0.0678907
confiscation	0.0674314
Dismissal	0.0672237
coup	0.0665944
jailing	0.0661625
rescue	0.0654339
Acquittal	0.0651584
explosion	0.0645637
harassment	0.0640803
prosecution	0.0640389
discovery	0.0639164
"coup attempt"	0.0631543
withdrawal	0.0630934
collapse	0.0630477
departure	0.0628938
offensive	0.0628506
sighting	0.0627153
detection	0.0624006
interrogation	0.0615843
infiltration	0.0615289
pullout	0.0609375
demise	0.0608435
closure	0.0606294
resignation	0.0605408
arrival	0.0603342
"bomb blast"	0.0601663
blockade	0.0601545
exodus	0.0597174
beating	0.0595932
imprisonment	0.0588832
rape	0.0587615
bombardment	0.0582718
trial	0.0582373
deployment	0.0582012
signing	0.0578407
sacking	0.0578336
uprising	0.0578145
brutality	0.0578083
occupation	0.0576194
rejection	0.0562883
conviction	0.0560801
launching	0.0559037
breakup	0.0558982
sinking	0.0558838
genocide	0.0556345
hostage-taking	0.0556282
accident	0.0556234
suicide	0.0555635
presence	0.0555565
indictment	0.0554535
break-in	0.0550505
airstrikes	0.054532
adoption	0.0544473
rampage	0.0540043
tragedy	0.0540001
"air raid"	0.0535481
outbreak	0.0532207
"handing over"	0.0531499
appointment	0.0530787
verdict	0.0529898
theft	0.0529169
siege	0.0527764
"air attack"	0.0524682
failure	0.0524482
intervention	0.0521637
announcement	0.0520314
bloodshed	0.0519105
looting	0.0518366
blast	0.0516923
refusal	0.0516529
relocation	0.0515005
mutiny	0.0514699
fighting	0.0514229
casualty	0.0513836
devaluation	0.051274
spill	0.0511244
evacuation	0.0510482
incarceration	0.0509223
apprehension	0.0507995
riot	0.0507961
demolition	0.0502692
involvement	0.0502547
downfall	0.050181
detonation	0.050153
creation	0.0501128
fate	0.0501101
clash	0.049837
repression	0.0496381
debacle	0.0494658
escalation	0.0494196
annexation	0.0492777
"price increase"	0.0489647
carnage	0.0488787
cancellation	0.048862
sickout	0.0488283
rioting	0.0487426
recruitment	0.0485442
breakdown	0.0485152
purge	0.0484814
violence	0.0484678
unrest	0.0483752
opening	0.0483747
liberation	0.0482029
shutdown	0.0480967
disclosure	0.047823
downing	0.0476896
aggression	0.0476471
"surprise attack"	0.0472682
violation	0.0472511
"fatal accident"	0.0472424
catastrophe	0.0471645
surveillance	0.0470752
"military action"	0.0470368
leak	0.0470327
rebellion	0.0470221
birth	0.046967
disaster	0.0469601
counterattack	0.0469436
conquest	0.0468427
postponement	0.0465985
poisoning	0.0465202
repatriation	0.0464732
mistreatment	0.0462355
taking	0.0462223
"work stoppage"	0.0462144
captivity	0.0461391
inauguration	0.0461384
divorce	0.0460972
identification	0.045947
disturbance	0.0458219
cleansing	0.0457487
diagnosis	0.0456017
entry	0.0455672
restoration	0.0455572
sabotage	0.0451334
mutilation	0.0449884
landing	0.0449568
terror	0.0448656
breakthrough	0.0448419
desertion	0.0447301
robbery	0.0447183
elimination	0.0447114
eviction	0.0446482
ruling	0.0445529
participation	0.0445321
spate	0.0445308
oppression	0.0445013
passage	0.0444742
"sudden death"	0.0443027
identity	0.0442414
behavior	0.0442389
founding	0.0441874
confession	0.0440924
lynching	0.043968
derailment	0.0439148
skirmish	0.0438987
questioning	0.0437085
default	0.0436634
demonstration	0.0436429
restructuring	0.0436028
))
(car (desc 344144) (sims
vehicle	0.310717
truck	0.278104
bus	0.222484
van	0.212634
automobile	0.212495
Sedan	0.185331
boat	0.162739
"pickup truck"	0.156974
jeep	0.154653
pickup	0.153584
plane	0.152229
train	0.152089
Motorcycle	0.149845
house	0.146622
airplane	0.142753
limousine	0.142274
taxi	0.141616
auto	0.138426
"motor vehicle"	0.136324
aircraft	0.13557
minivan	0.131995
engine	0.129589
building	0.128716
wagon	0.128431
home	0.127618
cab	0.126559
Computer	0.1257
model	0.124955
tractor	0.124485
machine	0.123519
driver	0.123446
equipment	0.122442
helicopter	0.122054
trailer	0.121028
apartment	0.119381
product	0.118568
bicycle	0.118035
"station wagon"	0.117935
"passenger car"	0.116407
"police car"	0.115772
ship	0.115253
Mercedes	0.115232
tire	0.111896
SUV	0.111496
"sports car"	0.109941
goods	0.109306
room	0.107739
bike	0.107716
SUVs	0.107444
tank	0.106881
Coupe	0.104927
seat	0.104599
convertible	0.103503
box	0.103055
furniture	0.102956
item	0.10226
gun	0.101954
lorry	0.101492
vessel	0.101001
cloth	0.100819
food	0.10031
hotel	0.0995826
shoe	0.0994571
PC	0.0985192
Clothing	0.0985149
bed	0.0983943
appliance	0.0978932
Ambulance	0.097792
cart	0.0973218
window	0.096779
store	0.0964102
phone	0.0963297
toy	0.0956839
tanker	0.0956661
traffic	0.0956578
jet	0.0949544
tree	0.0941437
ticket	0.0940856
bag	0.0940775
shop	0.0937758
passenger	0.0936739
horse	0.0932311
minivans	0.0931798
system	0.092612
plant	0.092561
carriage	0.0923671
"school bus"	0.0920733
people	0.0919114
garage	0.0917226
"race car"	0.0916509
refrigerator	0.0912069
camera	0.0901093
container	0.0899652
"hotel room"	0.0898477
business	0.0896216
device	0.0892241
"personal computer"	0.0892099
machinery	0.0890197
restaurant	0.0873861
factory	0.0873269
locomotive	0.0870287
road	0.0869058
chair	0.0868851
fuel	0.086728
door	0.0867012
weapon	0.0863011
property	0.0860084
elevator	0.0859252
body	0.0858778
jewelry	0.0853563
school	0.085188
Limo	0.0851071
wall	0.0848212
cabin	0.0847856
rig	0.0844439
cigarette	0.0842223
office	0.083899
tent	0.0833459
service	0.0829855
gasoline	0.0828925
Cruiser	0.0828079
facility	0.0825893
line	0.0825817
it	0.0823909
job	0.0823766
site	0.0823273
drug	0.0823215
man	0.081903
water	0.0818592
place	0.0816892
motorist	0.0813804
book	0.0812345
child	0.080869
them	0.0808197
card	0.080538
race	0.0805303
lap	0.0804271
one	0.0799871
piece	0.0796714
company	0.0796576
missile	0.0795511
area	0.0795263
software	0.0792996
wheel	0.0792555
material	0.0792371
street	0.0790019
space	0.0788904
merchandise	0.0788801
market	0.0788424
ball	0.0785234
"tv set"	0.0785227
team	0.0780832
yacht	0.077939
money	0.0777755
suitcase	0.077726
brand	0.0774881
firearm	0.0772921
worker	0.077179
ferry	0.0770973
customer	0.0770845
land	0.077058
field	0.0770455
bomb	0.0769537
life	0.0768479
Housing	0.0764834
movie	0.0764394
chip	0.0762111
bridge	0.0761129
object	0.0759415
thing	0.0759277
stock	0.0754653
"mobile home"	0.0753602
guy	0.0751914
gear	0.0751806
some	0.0750418
wine	0.0749551
convoy	0.0748819
technology	0.0748376
track	0.0746705
ride	0.0743344
station	0.0742868
player	0.0741724
bar	0.0741318
back	0.0741036
unit	0.0740035
motor	0.0738848
utility	0.0738667
arm	0.0737584
family	0.0737225
dog	0.0735718
wheelchair	0.073528
Cadillac	0.073511
part	0.0732785
church	0.0731921
television	0.0730564
feet	0.0730097
kitchen	0.0730052
craft	0.0728525
park	0.0728488
village	0.0727072
))
("car bomb" (desc 10742.9) (sims
"explosive device"	0.240659
"bomb blast"	0.225168
landmine	0.204136
"pipe bomb"	0.198785
bomb	0.187502
"time bomb"	0.155763
"land mine"	0.154012
explosion	0.147349
"hand grenade"	0.142364
Grenade	0.138188
blast	0.132033
firebomb	0.118575
temblor	0.117482
bombing	0.114731
mudslide	0.10953
tornado	0.106468
"atomic bomb"	0.105213
Quake	0.104643
"Hurricane Hugo"	0.104369
"cluster bomb"	0.102578
explosive	0.100914
earthquake	0.0951284
twister	0.0946453
"drive-by shooting"	0.0944522
ambush	0.0916086
firecracker	0.0904882
"booby trap"	0.0904769
landmines	0.0889513
sniper	0.0882662
torpedo	0.0859917
tremor	0.0854335
"flash flood"	0.0848693
riot	0.0838503
landslide	0.0821456
gunfire	0.0819202
blaze	0.0813394
massacre	0.0808906
assassination	0.0807328
bomber	0.0801403
gunmen	0.0799986
shelling	0.0774304
dynamite	0.075986
gunman	0.0750316
"Hurricane Mitch"	0.0746389
cyclone	0.0745424
"Hurricane Georges"	0.0731484
rampage	0.0731324
guerrilla	0.0722469
raid	0.0720637
arson	0.0718303
assailant	0.0713605
artillery	0.0711732
rioter	0.0707768
Omagh	0.0701541
"air raid"	0.0698808
fireball	0.0697763
"nuclear explosion"	0.0693442
"atom bomb"	0.0691411
hijacking	0.0687907
rioting	0.0687293
"TWA Flight @@@"	0.067208
terrorist	0.0671739
Typhoon	0.0667535
gunshot	0.0664772
"Pan Am Flight @@@"	0.0663133
detonation	0.0661577
militant	0.0652515
eruption	0.0644202
missile	0.064096
"food poisoning"	0.0638147
bombardment	0.0632736
pileup	0.0630594
shrapnel	0.0629628
looter	0.0621714
attacker	0.061648
mishap	0.0611717
downpour	0.0610152
"Irish Republican Army"	0.0608979
wildfire	0.0596512
warplane	0.059451
mob	0.0593736
"transport ship"	0.0591969
"sonic boom"	0.0589615
"hydrogen bomb"	0.0588918
bandit	0.0588453
derailment	0.0584168
Collision	0.0583744
carnage	0.058374
avalanche	0.0577171
arsonist	0.0573474
robber	0.057288
"Hurricane Andrew"	0.0572189
tsunami	0.0571717
mortar	0.0569746
Mitch	0.0568997
disturbance	0.0565861
firework	0.0564062
slaying	0.0563693
extremist	0.0561586
"crash landing"	0.0560205
"air attack"	0.0559227
gunfight	0.055374
commando	0.0551791
conflagration	0.0548313
"tidal wave"	0.054599
"volcanic eruption"	0.0545273
shotgun	0.0544464
bullet	0.0538832
poisoning	0.0538232
overdose	0.0536471
hooligan	0.0535381
unrest	0.0535369
abduction	0.0535119
"air bag"	0.0533241
"forest fire"	0.0530555
"surprise attack"	0.0530219
"market town"	0.0530096
intruder	0.0527911
bloodshed	0.0527777
paramilitary	0.0526761
roadside	0.052223
holdup	0.0519645
"armed robbery"	0.0519216
Bolshevik	0.0518924
"power failure"	0.0518789
robbery	0.0517384
hideout	0.0516945
ammunition	0.0514763
"line of duty"	0.0512904
shootout	0.0511199
atrocity	0.0509702
hurricane	0.050875
"Hurricane Floyd"	0.0508539
projectile	0.0507901
snowstorm	0.050731
ordnance	0.05068
"dengue fever"	0.0506024
transformer	0.0505884
suicide	0.0504138
tragedy	0.050246
manhole	0.049767
"fatal accident"	0.0497202
"chain reaction"	0.0496678
"brush fire"	0.0496419
gangland	0.0496003
"apartment building"	0.0494482
windstorm	0.0494282
"petrol bomb"	0.0493713
rainstorm	0.0493499
uprising	0.0493192
"Pan Am"	0.0493006
sandstorm	0.0491779
van	0.0491294
dissident	0.0491028
"tit for tat"	0.0489677
coup	0.0488548
"chemical reaction"	0.0487879
deluge	0.0487738
"heart attack"	0.0487573
guerilla	0.048588
Hezbollah	0.0484263
cholera	0.0483798
outbreak	0.0483603
shootouts	0.0479957
kidnapper	0.0479489
militiamen	0.0479466
"alarm bell"	0.0479295
kidnapping	0.0478367
melee	0.0476731
abductor	0.0475573
"gas tank"	0.0475159
gunbattles	0.0474104
"coup attempt"	0.0472214
"Range Rover"	0.0471823
Babs	0.0470308
brawl	0.0469396
break-in	0.046892
upheaval	0.0468427
barrage	0.0467902
spree	0.0465779
"black bear"	0.0465549
canister	0.0464707
"heat wave"	0.0462699
scuffle	0.0462012
lightning	0.0461626
poacher	0.0460783
debacle	0.0460656
"security force"	0.0458899
warhead	0.0458311
"Air France Concorde"	0.0457812
cannon	0.0456642
airstrikes	0.0455264
"nuclear weapon"	0.0455194
gunpowder	0.0453942
terror	0.0453572
"laser beam"	0.0451916
neo-Nazis	0.0451748
"tractor trailer"	0.044999
gunbattle	0.044919
"machine gun"	0.0448909
))
("car dealer" (desc 5987.38) (sims
"real estate agent"	0.0893245
dealer	0.084356
"real estate broker"	0.0838857
"newspaper publisher"	0.0826528
merchant	0.0812256
hotelier	0.080972
banker	0.0801478
"real estate developer"	0.079447
"home buyer"	0.0766939
vintner	0.0763037
"brokerage house"	0.0762429
grocer	0.076063
Realtor	0.0753142
developer	0.074669
refiner	0.0735235
optometrist	0.0732216
wholesaler	0.0725902
middlemen	0.0725901
chiropractor	0.0725081
shopkeeper	0.072131
broker	0.0710482
stockbroker	0.0709968
businessman	0.0701332
"venture capitalist"	0.0697732
dentist	0.0691478
landowner	0.0688157
jeweler	0.0682634
scalpers	0.068089
distributor	0.0680497
philanthropist	0.0679617
financier	0.0678173
"investment adviser"	0.067636
homeowner	0.0668236
Pharmacy	0.0667679
restaurateur	0.0665558
florist	0.066551
"merchant bank"	0.0659277
lender	0.0658312
"beauty shop"	0.065346
Industrialist	0.0653237
"plastic surgeon"	0.0647421
"travel agent"	0.0646411
"dairy farmer"	0.0641829
bed-and-breakfasts	0.0637407
trader	0.0631981
retailer	0.0631029
rancher	0.0630589
resellers	0.0628925
eateries	0.0628619
bricklayer	0.0627277
"home builder"	0.0625368
"currency trader"	0.0622571
seamstress	0.0615725
"newspaper editor"	0.0613579
entrepreneur	0.0612317
businessmen	0.0611161
bottlers	0.0606883
Washingtonian	0.0595583
"travel agency"	0.0591588
"property owner"	0.0588775
"civic leader"	0.0585226
salesmen	0.0583428
grower	0.058248
hairdresser	0.0582113
"Field Poll"	0.0582105
pharmacist	0.0580125
"business executive"	0.0579256
"computer store"	0.0578569
schoolteacher	0.0577592
"art dealer"	0.0575132
telemarketers	0.0571852
"film producer"	0.0571398
drugstore	0.0570298
bookseller	0.0569827
"New York Democrats"	0.056954
contractor	0.056837
"con artist"	0.0566806
newspaperman	0.0566334
businesswomen	0.0565994
"police detective"	0.0564717
officeholder	0.0564376
highflier	0.0564054
salesman	0.0561434
seller	0.0561219
vendor	0.0560945
"business leader"	0.0560387
"funeral director"	0.0560029
"insurance firm"	0.0559561
Atlantans	0.0559241
Bostonians	0.0558568
"school teacher"	0.055789
"grocery store"	0.0557182
marketers	0.0557144
"civil engineer"	0.0554962
Postmaster	0.0554562
builder	0.0553512
"civil rights leader"	0.0551017
"car manufacturer"	0.0548127
nonprofits	0.0547044
"liquor store"	0.0546931
"insurance agent"	0.0546135
caterer	0.0542334
Chinese-Americans	0.0542071
speculator	0.0541729
collector	0.054153
importer	0.0541365
homebuilder	0.0541327
peddler	0.0541157
"security consultant"	0.0540222
electrician	0.0540182
auctioneer	0.0537972
"aerospace engineer"	0.0537305
debtor	0.0536617
"gas station"	0.0533914
"North Carolinian"	0.053368
"investment banker"	0.0533446
Councilman	0.0532794
shipper	0.0532715
innkeeper	0.0530898
"school district"	0.0530585
policymakers	0.05305
insurer	0.0530302
"farm worker"	0.052925
"factory worker"	0.0527573
"corporate executive"	0.0527351
Muscovite	0.0527129
regulator	0.0526409
educator	0.052559
"interior designer"	0.0524921
"police sergeant"	0.0522793
"credit bureau"	0.0522486
"math teacher"	0.0517656
bondholder	0.0516305
Bostonian	0.0515691
birder	0.0515625
e-tailers	0.0514801
distiller	0.0513119
"foreign service officer"	0.0512516
"lieutenant general"	0.051088
"steel company"	0.0510855
"advertising agency"	0.0510096
"truck driver"	0.05098
"police lieutenant"	0.0509673
"insurance company"	0.0509079
"management consultant"	0.0508744
"building society"	0.0508046
marketer	0.0505758
"gold miner"	0.0505228
"state senator"	0.0505221
franchisees	0.0504993
"Howard Milstein"	0.0504915
"stock trader"	0.0504891
"market watcher"	0.0503606
"church member"	0.0503358
homebuyers	0.0502305
homemaker	0.0502271
steelmaker	0.0501857
landscaper	0.0501494
"Sam Wyly"	0.0501353
machinist	0.049814
Supercenters	0.0497304
dealership	0.0497059
"brokerage firm"	0.0496693
pensioner	0.0496436
"toy retailer"	0.0495824
"market participant"	0.049573
"New Jerseyans"	0.0495689
CPA	0.0494324
promoter	0.04906
dermatologist	0.0489529
policymaker	0.0488111
brokerage	0.048809
depositor	0.0487415
"hotel manager"	0.048678
supermarket	0.0485914
environmentalist	0.0485523
"market maker"	0.0485197
winery	0.0485188
"Russian bank"	0.0485129
"bond trader"	0.0484059
retiree	0.0483947
salespeople	0.0483717
"health care provider"	0.0482023
"retail store"	0.0480992
magnate	0.0480285
"school superintendent"	0.0479454
landlord	0.0478647
psychoanalyst	0.0478594
nobleman	0.0477905
"investment house"	0.0477481
superstore	0.0477194
"interest group"	0.0476321
gardener	0.0475696
craftsmen	0.0475504
"discount store"	0.0474124
"talent agent"	0.0473525
"ballet dancer"	0.0471481
delinquent	0.0471062
breeder	0.0470684
middleman	0.0469803
))
("car door" (desc 893.625) (sims
"screen door"	0.164319
"French door"	0.143184
"side door"	0.114841
tailgate	0.111904
spigot	0.0862333
"Russ Ortiz"	0.0830827
"drinking fountain"	0.0822855
"New York Film Festival"	0.0814058
"air duct"	0.0775656
racquet	0.0770654
floodgate	0.0734033
"back door"	0.0715621
"Lincoln Town Car"	0.0701666
manhole	0.068992
Hendrickson	0.0685626
"Miller Park"	0.0684711
checkbook	0.068259
"emergency exit"	0.0679295
Gaither	0.066896
KLIA	0.0668616
"Matt Mieske"	0.0667833
"Shanghai Composite Index"	0.0630745
"gambling casino"	0.0628874
MS-DOS	0.0616177
"sliding door"	0.0610803
keypad	0.0597726
cubby	0.0594288
"Trade Fair"	0.0592065
"piggy bank"	0.0587613
"key ring"	0.0585128
clipboard	0.0578159
Saenz	0.0576344
"bank vault"	0.0570417
"fortune cookie"	0.0560096
gavel	0.0559431
Zeb	0.0558931
"sales outlet"	0.0552881
smelter	0.0552849
pore	0.0552719
"rib cage"	0.0549793
"Radio Free Asia"	0.0542431
howdy	0.0540547
"Pudong International Airport"	0.054025
aorta	0.0537188
"knockout punch"	0.0532447
Consulate-General	0.0531298
"first school"	0.0531251
Cessna	0.052937
"bus route"	0.0528149
"glove compartment"	0.0527671
sobriquet	0.0522513
"Hurricane Hugo"	0.0520933
passageway	0.0520733
abdomen	0.0519799
faucet	0.0519111
"family room"	0.0517299
"Ford Taurus"	0.0517014
"escape hatch"	0.0514546
"trading floor"	0.0513853
Shurmur	0.0512815
sunroof	0.050975
"second tour"	0.0507873
"basketball season"	0.0507026
"major league season"	0.0504978
Eyes	0.05044
"car window"	0.0504332
entryway	0.0502296
"electrical system"	0.0501316
"butcher shop"	0.0500089
"Flight @@@@"	0.0499184
"Ford Escort"	0.0498036
IE	0.0497685
eyelid	0.0496238
Sledgehammer	0.0496095
"Le Bernardin"	0.0495102
"Bruno Megret"	0.0492809
wainscoting	0.0491824
Cosell	0.0490718
Spago	0.0488715
Kashima	0.0488665
"service agency"	0.0487129
Aventajado	0.0486484
"Carlos Febles"	0.0482986
"power steering"	0.0480539
shoelace	0.0479591
"and gate"	0.0479186
change-up	0.0478502
"shoulder pad"	0.0478363
"B&AMP;B"	0.0476768
"polling place"	0.0475729
MacInnis	0.0475469
Grissom	0.0473379
nostril	0.0473135
"Arab Parliamentary Union"	0.0472397
porthole	0.0472123
"hockey stick"	0.0471403
RV	0.0469997
"Kuwait Stock Exchange"	0.0469385
"over @@@ million"	0.0469376
surfboard	0.0467278
tete-a-tete	0.0466843
"file cabinet"	0.0466053
Stonehenge	0.0464818
"Chevrolet Monte Carlo"	0.0464603
speakeasy	0.0463027
"Abdullah Ahmad Badawi"	0.0460653
"off-speed pitch"	0.0459719
"bulletproof vest"	0.0459365
"Juan Encarnacion"	0.0458165
Hsieh	0.0457829
"shooting range"	0.0457624
Pinky	0.0456757
"Brent Mayne"	0.0455285
capo	0.0454284
"ticket office"	0.0453253
Sojo	0.0452208
masher	0.0451715
"open door"	0.0451218
"CAC @@"	0.0450708
"deposit box"	0.0448533
"gas pedal"	0.0448432
"Dennis Cook"	0.0447247
"Warner Brothers"	0.0447245
Learjet	0.0446959
six-pack	0.0446532
heatwave	0.0445792
Dumpster	0.044574
six-minute	0.0444797
downfield	0.0444779
"Ministerial Conference"	0.0444709
"Aeneas Williams"	0.0444237
"science museum"	0.0444236
"Italian League"	0.0443437
downdraft	0.0442815
"Lincoln Center Festival"	0.0441982
"sand wedge"	0.0441566
"Hong Kong International Airport"	0.0439858
"iron curtain"	0.0439222
"retail operation"	0.0438138
"baseball season"	0.0437751
biplane	0.0437101
"music school"	0.0436754
Mabry	0.0436539
Dreifort	0.0435054
"World Food Summit"	0.0434802
dressage	0.0434475
archway	0.0433338
"bag of tricks"	0.0432442
Costin	0.0431754
"keynote address"	0.0431482
"Eastern Airlines"	0.0430558
"suspension bridge"	0.043042
"airplane ticket"	0.0430266
lawnmower	0.0429572
Sybase	0.0428471
"bus line"	0.0428214
"Bruce Aven"	0.0428075
"birthday gift"	0.0426156
one-hopper	0.0425619
"Memorial Hall"	0.042528
"International AIDS Conference"	0.0425051
sternum	0.0424694
"data link"	0.0424595
"CHARLOTTE STING"	0.0424257
Hotlines	0.0424007
"Toyota Corolla"	0.0423925
"Jewish Museum"	0.0423592
"Sensitive Index"	0.0423454
"five spot"	0.0422863
Foyt	0.0421577
"Court @"	0.0421562
"tractor trailer"	0.0421244
Camaro	0.042003
"World Petroleum Congress"	0.0418836
"Karachi Stock Exchange"	0.0418474
"brokerage account"	0.0417498
"foster home"	0.0416669
"Fourth Session"	0.0415907
"patrol car"	0.0415837
windup	0.0415129
mini-camp	0.0413887
"over @@@ points"	0.0412256
"Space Cowboys"	0.0411809
"dress shirt"	0.0411188
Roussel	0.0409954
Tous	0.0409943
"hypodermic needle"	0.0409298
"sea lane"	0.0408988
"law practice"	0.040865
"Chevrolet Suburban"	0.040782
Kittles	0.0407568
shingles	0.0407085
Syrian-Israeli	0.0406934
Daubach	0.0406549
megaplexes	0.0405911
"Doug Glanville"	0.0405776
"botanical garden"	0.0405564
"battering ram"	0.040511
"wine cellar"	0.0404393
atelier	0.0404333
))
("car horn" (desc 1848.75) (sims
Siren	0.136702
Horn	0.135576
geese	0.096167
"church bell"	0.087724
"fire alarm"	0.0866444
taps	0.0716986
"Star-Spangled Banner"	0.0677167
shriek	0.0658171
jackhammer	0.0643527
buzzer	0.064109
loudest	0.0633161
Minuet	0.0628681
cowbell	0.0623447
"theme song"	0.0617779
wail	0.0612419
loudspeaker	0.0607684
"sound system"	0.0597927
bullhorn	0.0586826
popping	0.0573796
"True Thing"	0.0544404
Chime	0.0538557
"alarm clock"	0.0537791
gunshot	0.0537709
zeppelin	0.0535522
bagpipe	0.0531027
"dance music"	0.0527792
weeping	0.0518991
drumbeat	0.0517328
sneeze	0.0511862
"alarm bell"	0.0510359
cacophony	0.0488382
synthesizers	0.0487698
"sonic boom"	0.0484245
fife	0.0482679
clapping	0.0482408
hammering	0.048151
psalm	0.0467152
jingle	0.0463028
"pipe organ"	0.046158
dirge	0.0455947
"disk jockey"	0.0447517
"loud noise"	0.0445105
wailing	0.0442982
"fellow traveler"	0.0440505
saxophone	0.0438209
screeching	0.0437991
"background noise"	0.0431712
rippling	0.0430237
"national anthem"	0.0429827
chanting	0.0425899
Berliner	0.0422247
Geiger	0.0417848
firecracker	0.0412885
cicada	0.0412676
"chain saw"	0.0411635
"all clear"	0.0401435
gull	0.0400647
"motor scooter"	0.040058
))
("car insurance" (desc 1086.52) (sims
comp	0.102507
"disability insurance"	0.0986777
"death tax"	0.0850219
GSP	0.0821415
cellphones	0.0814668
"death benefit"	0.0756223
"life insurance"	0.0755907
postage	0.0745668
"money order"	0.074368
"train ticket"	0.0729345
"airplane ticket"	0.0717485
"dental care"	0.0713717
homeownership	0.0700623
"parking ticket"	0.068822
"bank card"	0.0676202
"nursing care"	0.0672294
tort	0.0671768
"engagement ring"	0.0666516
childcare	0.0658987
"fishing license"	0.0657179
"Palm Pilots"	0.0647769
"profit sharing"	0.0646224
"penny stock"	0.0630932
telemarketing	0.0621243
healthcare	0.0621065
handhelds	0.0609171
"credit report"	0.0594717
"cellular telephone"	0.0588599
"heating oil"	0.0587033
"home mortgage"	0.0585225
T-bill	0.0584419
levity	0.0581174
Helms-Burton	0.0578461
easement	0.0569447
semitrailer	0.0568352
"speeding ticket"	0.056645
Omnipoint	0.0565493
pantyhose	0.056441
dowry	0.0561962
naturalization	0.0559069
"secondary education"	0.0558915
PASSES	0.0558649
reinsurance	0.055295
"consumer loan"	0.0550121
ISO@@@@	0.0547614
GST	0.0546532
motoring	0.0544907
"Medicare HMO"	0.0544785
"computer equipment"	0.0544003
"property tax"	0.0542464
recidivism	0.0542374
"data processing"	0.0542015
"laser printer"	0.0541448
NHS	0.0536807
annuity	0.0529412
"theater ticket"	0.0528808
"bus ticket"	0.0528203
"export credit"	0.0523484
"capital gains tax"	0.0522916
"camp site"	0.0521282
"Land Cruiser"	0.0519627
"central heating"	0.0518298
overdraft	0.0516853
emulator	0.0514385
kerosene	0.0513677
"sense of direction"	0.051304
reemployment	0.051232
notary	0.0512066
widget	0.0511948
C-section	0.0511142
"Brooks Brothers"	0.0510122
"estate tax"	0.0507282
"communications equipment"	0.0504191
webcams	0.050339
"color television"	0.0502857
"social assistance"	0.0502482
peccadillo	0.0500496
"retirement benefit"	0.0500364
sport-utility	0.0499784
SBI	0.0499038
"Los Angeles Galaxy"	0.0498983
"foster parent"	0.0496304
warranty	0.0495267
Suburbans	0.0494659
"debt service"	0.0493987
"Agenda @@@@"	0.048791
T-bonds	0.0486418
"Social Security number"	0.0485752
"club membership"	0.0484821
beepers	0.0482899
"season ticket"	0.0480638
"cash bonus"	0.0478222
"commercial paper"	0.0476412
"sick leave"	0.0473503
tutoring	0.0473461
"motor oil"	0.047272
"charge card"	0.0471867
mini-vans	0.0468348
"inheritance tax"	0.0466389
"goose bumps"	0.0464063
"diesel fuel"	0.0463066
"child support"	0.04615
indemnity	0.0460552
"entrance fee"	0.0460308
BUSINESSES	0.0460012
airfare	0.0455241
"deficit reduction"	0.04527
"public transit"	0.0451009
"patent right"	0.0450052
cremation	0.0449889
"gas company"	0.0449686
"social insurance"	0.0446047
cookware	0.0445731
freeloader	0.0445049
Furbys	0.0443349
"Rolls-Royce Motor Cars"	0.0443295
"sports equipment"	0.0442413
"membership card"	0.0441413
"golf equipment"	0.0439861
tenancy	0.0439491
"diesel oil"	0.0439275
"Office @@"	0.0438456
cheerio	0.0438238
comeuppance	0.0437397
"telephone set"	0.0435888
ODA	0.0434338
"ownership stake"	0.0433527
hedging	0.0430875
"suspension system"	0.0430037
"machine tool"	0.0428906
"computer hardware"	0.0428718
grandkids	0.0428151
"electronic mail"	0.0427528
urea	0.0427331
Hummer	0.0427134
"living wage"	0.0426837
BMWs	0.0425491
FOREX	0.0423155
Checkfree	0.0423152
"wireless telephone"	0.0422836
"electronic equipment"	0.0419285
vasectomy	0.0419049
"communications service"	0.0417148
"Consolidated Edison"	0.0416009
"Lee Hsien Loong"	0.0415592
AHP	0.0415188
"prescription medicine"	0.0414795
"travel plan"	0.0414481
remotes	0.0414085
"management fee"	0.0411253
"admission fee"	0.0411194
"value-added tax"	0.0410502
first-day	0.0409778
"water right"	0.040811
"printing press"	0.0407239
"bricks and mortar"	0.0407238
filtering	0.0407044
Partway	0.0406868
"manufacturing business"	0.040669
"reaction time"	0.0406469
"surgical procedure"	0.040504
"electric car"	0.040337
scrip	0.0403356
"New York State Theater"	0.0403005
"juvenile delinquency"	0.0402609
"electric bill"	0.0402063
"excise tax"	0.040178
authentication	0.0401279
))
("car maker" (desc 8334.21) (sims
carmaker	0.352982
"auto maker"	0.286648
automaker	0.282746
"car manufacturer"	0.279187
carmakers	0.217728
"auto company"	0.176467
automakers	0.162261
steelmaker	0.158346
shipbuilder	0.146694
"auto manufacturer"	0.139051
"life insurer"	0.136865
"electronics company"	0.123194
toymaker	0.10963
"software maker"	0.108592
"semiconductor maker"	0.107371
"brokerage house"	0.104065
"defense contractor"	0.103829
"department store chain"	0.102267
refiner	0.0982904
chaebol	0.0982018
manufacturer	0.0974151
"futures exchange"	0.0966735
"toy retailer"	0.0965602
"shipping company"	0.0959353
"insurance firm"	0.0957913
"telephone company"	0.0949393
multinationals	0.0933824
"steel company"	0.0932997
conglomerate	0.0918834
"cable operator"	0.0898234
"toy maker"	0.0892582
maker	0.0889272
"tire maker"	0.0882103
"drug maker"	0.0859163
"food company"	0.0858974
insurer	0.0857029
supplier	0.0846072
auto	0.0845677
"oil producer"	0.0845299
"phone company"	0.0836823
"retail chain"	0.0828682
issuer	0.081809
"insurance company"	0.0816819
exporter	0.0814356
"mining company"	0.0807861
Samsung	0.0805203
brewery	0.0800483
brokerage	0.0795919
Hyundai	0.0794483
chaebols	0.0789542
airline	0.0785653
"trading partner"	0.077823
drugmaker	0.0772004
Toyota	0.0770233
retailer	0.0768909
transnationals	0.0767993
"home builder"	0.076388
"power company"	0.0756965
consortia	0.0753403
Renault	0.0736233
importer	0.0733646
"General Motors Corp."	0.0731723
"financial institution"	0.0728314
Volkswagen	0.0727642
DaimlerChrysler	0.0722755
"Nissan Motor Co."	0.0721
corporation	0.0719614
metropolises	0.0718894
issuers	0.0714986
"Chrysler Corp."	0.0710766
Banks	0.0702606
VW	0.0701847
Fiat	0.0700358
"Toyota Motor Corp."	0.0699393
"opera company"	0.0699086
"TV network"	0.0698572
chipmaker	0.0697236
carrier	0.069488
Mazda	0.0694073
"commercial bank"	0.0690926
Nissan	0.0680589
Chrysler	0.0670979
wholesaler	0.0670404
Volvo	0.0668139
"brokerage firm"	0.0659819
"Daewoo Group"	0.0658746
"Ford Motor Company"	0.0656811
Daimler-Chrysler	0.0653353
Daewoo	0.0651096
distributor	0.0650974
"stock exchange"	0.0650483
"business organization"	0.0649542
Mitsubishi	0.0647563
"Volkswagen AG"	0.0646463
"Northeast Utilities"	0.0645007
"trucking company"	0.0644515
"television network"	0.0643934
assembler	0.0643877
"building society"	0.0643678
"finance company"	0.0642804
seller	0.0639255
"electric company"	0.0638233
bottler	0.0638211
"Hyundai Group"	0.062701
"investment trust"	0.062406
"Daimlerchrysler AG"	0.0623966
"Learning Co."	0.0623788
automobile	0.0623331
bookseller	0.0623143
Kodak	0.0623056
provider	0.0619825
"Protestant denomination"	0.0615521
"automobile industry"	0.0610673
e-tailers	0.060901
drugmakers	0.0607371
BASF	0.0606644
chipmakers	0.0606064
"computer giant"	0.0605676
operator	0.0604298
"medical institution"	0.0598919
"financial center"	0.0597886
lender	0.0597667
"nuclear power"	0.0597099
"accounting firm"	0.0594889
Honda	0.0594479
grower	0.0594359
BMW	0.0591597
"copper mine"	0.05906
"film industry"	0.0585517
NEC	0.058454
"bus company"	0.0584273
Firestone	0.0583172
polluter	0.0582662
AutoNation	0.0582555
shipper	0.0581836
Audi	0.0580542
"travel agency"	0.0579173
"banking company"	0.0578811
"chain store"	0.0577173
Hitachi	0.0577156
railroad	0.0576493
utility	0.0575627
"gas company"	0.0574037
"General Motors"	0.0571891
"central bank"	0.057114
"insurance market"	0.0571011
ARCO	0.057059
Scania	0.0570555
"educational institution"	0.0569854
Reynard	0.0569636
hypermarket	0.0567717
grocer	0.0567239
"Lotus Development Corp."	0.056586
"investment house"	0.0565338
bottlers	0.0563245
dot-coms	0.056318
"NEC Corp."	0.0563044
"Mobil Corp."	0.0562442
Siemens	0.0562184
GM	0.0560797
ISPs	0.0559656
developer	0.0559358
Elf-Aquitaine	0.0558307
"market maker"	0.0557395
consortium	0.0557346
"newspaper publisher"	0.0556893
"credit bureau"	0.0555973
"bank holding company"	0.0555874
"naval forces"	0.0555746
Orangina	0.055474
"Honda Motor Co."	0.0554337
subsidiary	0.0553569
Unilever	0.0552219
"corporate investor"	0.055173
Gazprom	0.0551324
"business community"	0.0550885
"Dell Computer Corp."	0.0547485
"Hong Kong Telecom"	0.0547369
Chevys	0.0546597
footballer	0.0546529
"Boeing company"	0.0546203
"Justice Ministry"	0.054558
"Lockheed Martin Corp."	0.0544925
"health maintenance organization"	0.0544664
"steel mill"	0.054403
"Ford Motor Co."	0.054401
Sumitomo	0.0543959
rover	0.0543067
"insurance broker"	0.054286
Rolls-Royce	0.0542185
brewer	0.0542052
"Hughes Electronics Corp."	0.0541188
Consul-General	0.0538279
"advertising agency"	0.0536488
"equity market"	0.0535853
auctioneer	0.0535345
employer	0.0534329
Daimler-Benz	0.0534323
marketer	0.0533896
"shipbuilding industry"	0.0533576
))
("car manufacturer" (desc 5266.53) (sims
"car maker"	0.279187
carmaker	0.24722
"auto maker"	0.219126
automaker	0.202671
carmakers	0.177076
"auto company"	0.174865
"auto manufacturer"	0.157178
shipbuilder	0.152491
"life insurer"	0.14408
steelmaker	0.132436
automakers	0.128586
"electronics company"	0.113243
"Nissan Motor Co."	0.109698
"toy maker"	0.102927
"semiconductor maker"	0.10053
"defense contractor"	0.0967696
"cable operator"	0.0948858
multinationals	0.0931557
"department store chain"	0.092709
"shipping company"	0.0924598
"steel company"	0.0924062
"futures exchange"	0.0882467
"drug maker"	0.088175
"home builder"	0.0880408
"food company"	0.0861299
"brokerage house"	0.0848708
"opera company"	0.083572
"Toyota Motor Corp."	0.0835403
"toy retailer"	0.0833336
"bank holding company"	0.0810183
"electric company"	0.0804832
toymaker	0.0792843
resellers	0.0791083
metropolises	0.0790264
conglomerate	0.0786471
"business organization"	0.0783781
insurer	0.0773743
"Special Economic Zones"	0.0771832
"tire maker"	0.0770284
"Volkswagen AG"	0.0762403
"software maker"	0.0759074
bottlers	0.0750979
refiner	0.0741785
"Hyundai Group"	0.0732917
"trading partner"	0.072866
"commercial bank"	0.072667
"oil producer"	0.0725523
"automobile industry"	0.0722944
issuer	0.0715386
"financial institution"	0.0697704
"mining company"	0.0692576
issuers	0.0689271
auto	0.0688747
"banking company"	0.0684151
"phone company"	0.0674311
Volkswagen	0.0673519
VW	0.066964
assembler	0.066907
"Ministry of International Trade and Industry"	0.0668545
"banking industry"	0.0661011
"medical institution"	0.0660412
drugmaker	0.0660379
wholesaler	0.0660142
"newspaper publisher"	0.0659632
transnationals	0.0654718
e-tailers	0.0650046
exporter	0.0645782
"insurance company"	0.0640846
"private foundation"	0.063723
"retail chain"	0.0633082
"insurance firm"	0.0630259
"finance company"	0.0629123
"trucking company"	0.0627512
"flour mill"	0.0626603
"industrial enterprise"	0.0624617
"telephone company"	0.0624256
supplier	0.0623455
parastatals	0.0623339
retailer	0.0621974
ISPs	0.0621808
"Protestant denomination"	0.0619624
Gunmakers	0.0617399
"chain store"	0.061618
"insurance market"	0.061604
statesmen	0.0612274
"publishing house"	0.0609204
grocer	0.0604173
Banks	0.060334
"New York Republicans"	0.0601971
brokerage	0.0600612
polluter	0.0600486
Mitsubishi	0.0599944
distributor	0.0593481
"accounting firm"	0.0593327
auctioneer	0.0592641
brewery	0.0591836
"investment trust"	0.0589234
meatpackers	0.0588684
"foreign officials"	0.0588403
"Hollywood studio"	0.0587972
meccas	0.058774
lender	0.0586472
"NEC Corp."	0.0585633
"educational institution"	0.0582084
"credit bureau"	0.0580531
consortia	0.0579829
"market maker"	0.0578004
caterer	0.0577549
"financial organization"	0.0575296
joint-ventures	0.0574611
"Pac Bell"	0.0572128
"brokerage firm"	0.0571613
bookseller	0.0568983
bottler	0.0567409
drugmakers	0.0567327
"power company"	0.0565688
"department store"	0.0564083
"advertising agency"	0.0560622
Airlines	0.0559175
importer	0.0556871
"China National Petroleum Corporation"	0.0555349
"business leader"	0.0554822
"travel agency"	0.0554145
"Health and Welfare Ministry"	0.0553852
"ad agency"	0.0553113
"publishing company"	0.0551616
"Justice Ministry"	0.0550934
"bus company"	0.0550889
"labor union"	0.0550489
"copper mine"	0.0549677
"car dealer"	0.0548127
"General Motors Corp."	0.0545685
"state enterprise"	0.054505
"Transport Ministry"	0.0543347
"financial center"	0.0541911
"business executive"	0.0539715
"television network"	0.0538729
"film industry"	0.0538621
seller	0.0537691
varietals	0.0537681
"computer giant"	0.0536456
"transportation company"	0.0535672
"fashion designer"	0.0534329
chaebol	0.0533171
chipmakers	0.0532485
"tax change"	0.0532018
roaster	0.0530381
"De Beers"	0.0530306
"TV network"	0.0527346
"shipbuilding industry"	0.0525437
"railway system"	0.0524506
"health maintenance organization"	0.0522961
footballer	0.0521296
Toyota	0.052071
grower	0.0520486
emitter	0.0518002
state-owned	0.051763
"telephone operator"	0.0517341
"trade union"	0.0517333
"bank failure"	0.0516677
"special economic zone"	0.0515972
"building society"	0.0515929
"Publishers Clearing House"	0.0515164
"Long-Term Credit Bank"	0.0515136
standouts	0.0515089
"electronics industry"	0.0514446
"minority shareholder"	0.051377
"coal industry"	0.0513452
"stamp collector"	0.0513382
"naval forces"	0.0513017
"Boeing company"	0.0512138
"Koji Ito"	0.051202
"Con Ed"	0.0508238
SEZs	0.0507188
nonprofits	0.0506628
"auction house"	0.0504872
"Honda Motor Co."	0.0503479
broadcaster	0.0502303
exhibitor	0.0502225
"broadcasting company"	0.0501583
polluters	0.0501314
shipper	0.0501305
"private corporation"	0.0501258
homebuilder	0.0500698
florist	0.0499497
"stock exchange"	0.0499165
shipyard	0.0499044
"particle accelerator"	0.0498986
Audi	0.0498523
"Ford Motor Co."	0.0498242
"business community"	0.0496283
"General Motors"	0.0494525
"chemical industry"	0.049435
eateries	0.0493759
policymaker	0.0492069
middlemen	0.0491369
vertebrate	0.0490536
"nuclear power"	0.0490223
businesspeople	0.0489966
oddsmakers	0.0488722
))
("car park" (desc 1545.34) (sims
"bowling alley"	0.0873594
"tea house"	0.0833935
cistern	0.0821293
"railroad station"	0.0801721
velodrome	0.0784551
honeycomb	0.077009
"parking area"	0.0762614
"holding cell"	0.0738264
"residence hall"	0.0721226
"ring road"	0.0671723
"treasure house"	0.0670944
viaduct	0.0667242
"trash bin"	0.0654592
culvert	0.0638175
"building site"	0.0632807
gazebo	0.0625747
menorah	0.0608537
"ball field"	0.0606916
"vacant lot"	0.0601075
"bus station"	0.0598828
"office block"	0.0598743
"bus terminal"	0.0597889
"navy base"	0.0592739
"liquor store"	0.0584907
"ice rink"	0.0582081
"Lexington Avenue"	0.0569973
"pumping station"	0.0569419
"gas line"	0.0566613
"picnic area"	0.0566195
mockup	0.0565116
reconfiguration	0.0562694
alcove	0.0556815
"bus stop"	0.0555879
concourse	0.054687
Spillway	0.0546456
"industrial park"	0.05451
"holiday resort"	0.0540433
heliport	0.053729
"Eighth Avenue"	0.0537201
scaffold	0.0533995
passageway	0.0531282
gymnasiums	0.0530556
"reception room"	0.0527877
"Pudong International Airport"	0.052433
"dance hall"	0.0521314
waterworks	0.051801
"tennis court"	0.0515178
"Hilton Hotel"	0.0514737
"First Avenue"	0.0514099
"boarding house"	0.051375
hangar	0.0511089
"fire escape"	0.0509564
"military headquarters"	0.0509424
"Hard Rock Cafe"	0.0509339
wharf	0.0506926
"drainage system"	0.0506912
chairlift	0.0503247
"bunk bed"	0.0502798
"train station"	0.0502299
"nursery school"	0.0501797
"water main"	0.0498233
"storage tank"	0.0496023
thoroughfare	0.0495091
"railway station"	0.0495037
trestle	0.0494431
"apartment house"	0.0494331
"sewer system"	0.0493809
"baseball diamond"	0.0492455
chains	0.0491788
"domed stadium"	0.0491656
chalet	0.0483181
"bomb shelter"	0.0480654
"dining area"	0.0478139
"housing development"	0.0477979
smelter	0.047559
stadia	0.0474269
flyover	0.0471011
"gambling casino"	0.0470405
"water table"	0.0467151
"house of cards"	0.0465692
berm	0.0461361
"row house"	0.0460136
Parthenon	0.0459801
"sewage system"	0.0459426
jetty	0.045548
idling	0.0451177
"herb garden"	0.0450384
"Second Avenue"	0.0449545
townhouse	0.0446792
"batting cage"	0.0445256
overpass	0.0443358
"community center"	0.0442898
"fire station"	0.0442331
slaughterhouse	0.0441898
"Central Park West"	0.0441722
"particle accelerator"	0.0440804
"recreational facility"	0.044052
"conference center"	0.0439575
"football stadium"	0.0438109
footbridge	0.0437819
"access road"	0.0437468
"athletic field"	0.0435363
outbuilding	0.0434966
godown	0.0433252
"steel mill"	0.0431806
"National Missile Defense"	0.0431254
"mobile home"	0.0430152
"moving van"	0.0426124
"oil pipeline"	0.0425594
trolley	0.0424246
"petrol station"	0.0423902
"paper cup"	0.042356
Fillmore	0.0423458
stakeout	0.0423432
first-grader	0.0420854
foxhole	0.0420487
time-trial	0.0418997
motorway	0.0418018
lamppost	0.0417989
"summer house"	0.0417434
campground	0.0416737
"resort hotel"	0.0415803
cityscapes	0.0414119
"bank building"	0.0412898
bungalow	0.0412053
ledge	0.0412037
catwalk	0.0411846
"city block"	0.0411266
treehouse	0.0411
enclosure	0.0409735
"control center"	0.0409283
"country house"	0.0409055
Marina	0.0408276
"patrol ship"	0.040723
"music school"	0.0406283
fortification	0.0406137
taxiway	0.040573
fryer	0.0404815
archway	0.0404553
))
("car race" (desc 1628.39) (sims
"ski race"	0.1085
"Eddie Cheever"	0.103792
"racing car"	0.0903815
"boat race"	0.0804602
bullfight	0.0788138
"Mario Andretti"	0.0738145
"Kenny Brack"	0.0711843
"Buddy Lazier"	0.0709339
yachtsman	0.0698357
"military drill"	0.0681278
zinger	0.0671236
"softball game"	0.0670531
"Plenary Session"	0.0669242
"British Opens"	0.0663901
submersible	0.0658445
"horse race"	0.0654007
"Emmy Awards"	0.0647866
"Alex Zanardi"	0.064173
"Grand National"	0.0636922
"Arie Luyendyk"	0.063559
V-@.	0.0631475
jamboree	0.0628688
"bicycle race"	0.0623167
"Japanese Grand Prix"	0.0617533
"theatrical performance"	0.061722
Criterium	0.0613818
"popularity contest"	0.0604604
"stock car"	0.060455
"spelling bee"	0.0602018
weigh-in	0.0597977
"Bernie Ecclestone"	0.0592819
"Bobby Rahal"	0.05918
"race car"	0.0591354
"Juvenile Fillies"	0.0589948
"Jon Drummond"	0.0580418
constructor	0.0574766
"religious service"	0.0572825
powwow	0.0571445
"prayer meeting"	0.0564985
"Consultative Group"	0.0555673
"Grammy Awards"	0.0552875
gunslinger	0.055144
triathlon	0.0550009
"day game"	0.0547337
"hockey game"	0.054491
equestrian	0.0531275
"Little League World Series"	0.0530926
"Kostya Tszyu"	0.0529766
"driving school"	0.0522352
"swim meet"	0.0517922
"Gold Gloves"	0.0517094
"College World Series"	0.0516497
brawler	0.0515552
"bowling ball"	0.0510631
"Family Guy"	0.0510571
"ball game"	0.050929
"religious ceremony"	0.0506244
consulations	0.0505822
"rescue equipment"	0.0503647
"Susanthika Jayasinghe"	0.0500675
"Matt Kuchar"	0.049921
"racing circuit"	0.0498638
luge	0.0497199
soiree	0.0496302
"garden party"	0.0492306
lifeboat	0.0488519
AMM	0.0487275
"benefit concert"	0.0487142
"swimming event"	0.0485873
"Fortune Global Forum"	0.0485773
"fish fry"	0.0483626
"shell game"	0.0480172
"Al Unser Jr."	0.0478673
"day of rest"	0.047813
"Inge de Bruijn"	0.0477403
"Ministerial Conference"	0.0476579
IGC	0.047534
"fire drill"	0.0474287
self-destruct	0.0471075
tenancy	0.0471
faceoffs	0.0470104
"repertory company"	0.046956
"World AIDS Conference"	0.0467574
"NAPA @@@"	0.0467075
"Shane Mosley"	0.0461835
"Hollywood Gold Cup"	0.0461725
relays	0.0461166
seascape	0.0460489
"second tour"	0.0459712
"Linford Christie"	0.0459687
"Louisiana Derby"	0.0457977
ballgame	0.0457968
striptease	0.045594
"skiing race"	0.0455801
mini-camp	0.0454524
"Princess Mononoke"	0.0453875
"wedding party"	0.0453062
"Mario Cipollini"	0.0451287
honoree	0.0448235
"two billion"	0.0445286
gallstone	0.0445188
"World Conference"	0.0444479
Olympiad	0.0443528
"Annual Meeting"	0.0443253
"Hail Mary"	0.0442616
blooper	0.0441164
"social class"	0.0439637
"Jimmy Vasser"	0.0439051
"triple play"	0.043903
"belly dancer"	0.0438937
"United States Open"	0.0438145
"baseball game"	0.0438055
"life preserver"	0.0436729
"Damon Hill"	0.0436643
"piece of music"	0.0436557
"dog show"	0.0436511
"wrestling match"	0.0434737
"U.S. Amateur"	0.043425
deadend	0.0432343
Opens	0.0432144
"two Poles"	0.0431925
"hunting ground"	0.0430632
knickers	0.0430339
"victory celebration"	0.0430242
cartwheel	0.0430046
"NEC Invitational"	0.0429821
"International Congress"	0.0429775
"rest day"	0.0429725
"British Grand Prix"	0.0429643
"prayer service"	0.0428398
"Kentucky Oaks"	0.0427444
"ASEAN Ministerial Meeting"	0.0426202
by-elections	0.0426129
"relay race"	0.0425151
pallbearer	0.0424397
"boxing match"	0.0424361
"goose bumps"	0.0424178
confab	0.0423664
"Special Session"	0.0423501
"Mastercard Colonial"	0.0422841
time-trial	0.0421964
"Oliver McCall"	0.042044
"five spot"	0.0420384
"ballroom dancing"	0.0419581
"Home Run Derby"	0.0419089
"World Congress"	0.0416045
"jam session"	0.0415641
"International AIDS Conference"	0.0415498
"Merlene Ottey"	0.0415097
"happy hour"	0.041458
"brokerage account"	0.0413476
"Todd Eldredge"	0.041322
team.	0.0413145
fundraisers	0.0412534
footpath	0.0412396
"Phoenix Open"	0.0410531
"open house"	0.040957
crawling	0.0409549
"Blaine Wilson"	0.0409414
"track meet"	0.0407889
clothesline	0.0406418
"church service"	0.0406154
vending	0.0404683
socializing	0.0403335
accoutrement	0.0402675
self-destructed	0.0401974
"U.S. Opens"	0.0401356
"street address"	0.0400819
paring	0.0400282
))
("car seat" (desc 5209.77) (sims
crib	0.110215
stroller	0.085393
playpen	0.0817313
"seat belt"	0.0799412
air-conditioner	0.0748354
"office furniture"	0.0706954
diaper	0.0706405
mattress	0.0696489
harness	0.0690926
manhole	0.0683142
"sewing machine"	0.0668761
wheelchair	0.0667805
airbags	0.0666706
"air bag"	0.0652261
backpack	0.0641642
compressor	0.0638287
"household appliance"	0.0618325
"vacuum cleaner"	0.0615167
Projector	0.0609195
"golf equipment"	0.059531
refrigerator	0.058876
stereo	0.0585438
bedding	0.0581933
amplifier	0.0580228
workstation	0.0578631
straitjacket	0.0577915
apparel	0.0577857
"washing machine"	0.0577809
"computer hardware"	0.0571178
cookware	0.0570493
splint	0.0569718
"electronic equipment"	0.0568462
potty	0.0567859
forklift	0.0565261
"water heater"	0.0564291
recliner	0.0557967
dishwasher	0.0553885
"memory chip"	0.0552467
"rocking chair"	0.0546274
"microwave oven"	0.0545806
conditioner	0.0543681
underwear	0.0542858
"storage device"	0.0541426
"trash bin"	0.0536472
defibrillator	0.0534559
heater	0.0531006
"life jacket"	0.0529725
seatbelt	0.052835
appliance	0.0528292
shredder	0.0525614
bicycle	0.0520851
"tv set"	0.0520579
"catalytic converter"	0.0518828
limousine	0.0518484
"umbilical cord"	0.051755
"folding chair"	0.0515225
bunk	0.0515124
carpeting	0.051258
"day care"	0.051237
kit	0.0511056
"golf bag"	0.0510633
mini-van	0.0508199
"duffel bag"	0.0505731
carriage	0.0503738
enclosure	0.0502072
"school bus"	0.0499317
"CD player"	0.0499268
luggage	0.0498093
"home appliance"	0.0497768
rug	0.0496529
bib	0.0495713
"mobile home"	0.0495563
"communications equipment"	0.049145
cooler	0.0490262
"safety belt"	0.0487942
cupboard	0.0487706
"diesel engine"	0.0486856
toothbrush	0.0486709
flooring	0.0485069
"optical fiber"	0.048496
cooker	0.048495
sportswear	0.0484549
"durable goods"	0.0484365
"color television"	0.048404
washer	0.0482714
"solar cell"	0.0482415
cutlery	0.0481346
"kitchen appliance"	0.0481064
schoolwork	0.0478231
"easy chair"	0.0477138
knitwear	0.0477125
VCD	0.047693
"building material"	0.0475128
"motor vehicle"	0.0475027
"vacant lot"	0.0474221
siding	0.0473203
handbag	0.047272
carpet	0.047227
"gas turbine"	0.0471992
Icebox	0.0471735
transformer	0.0470175
motherboards	0.0470069
"bathroom fixture"	0.0468837
muffler	0.0468695
upholstery	0.0468613
"speaker system"	0.0467957
handcuffs	0.0467747
"television set"	0.0467605
"shoulder pad"	0.0467229
minivan	0.046716
thermometer	0.0466493
"specialty chemical"	0.0466038
"laundry detergent"	0.0465855
scooter	0.0465024
elevator	0.0464912
hammock	0.0463034
headrest	0.0462399
"steering wheel"	0.0462199
copier	0.0461205
"vending machine"	0.046111
"welfare worker"	0.0459762
suitcase	0.0459608
Pacifier	0.0459476
pocketbook	0.0458827
"patrol car"	0.045797
"hockey stick"	0.0457801
"toilet seat"	0.0457273
outhouse	0.0456514
lamp	0.0455669
"snack food"	0.0454511
"test equipment"	0.0453719
valve	0.045345
lubricant	0.045305
"hand-held computer"	0.0453006
"hot seat"	0.0452284
converter	0.0452161
"shower curtain"	0.0451695
"fire extinguisher"	0.0451544
generics	0.0451296
"picture tube"	0.0450359
sprinkler	0.0450185
Swimwear	0.0449701
"solar panel"	0.0448441
Mustang	0.0447411
"power tool"	0.0446857
"disk drive"	0.044674
rudder	0.0446477
"fountain pen"	0.0446273
"musical instrument"	0.0445831
"windshield wiper"	0.0445465
Sedan	0.0445315
Limo	0.0444942
wallboard	0.0444554
cellphone	0.0440859
beanie	0.0439153
sauna	0.0439003
crayon	0.0437482
"tape recorder"	0.0437098
"box seat"	0.0436926
linoleum	0.0436877
"silicon chip"	0.043476
"holding cell"	0.0434549
pajama	0.0434461
sleigh	0.0433393
"pickup truck"	0.0431206
"passenger car"	0.043113
"automatic teller machine"	0.0430928
"line of fire"	0.0430925
"trash can"	0.0430541
"deposit box"	0.0430252
jeep	0.0429183
handset	0.0429102
"golf cart"	0.0428213
"soft drink"	0.0426385
"railroad car"	0.0426236
microchip	0.0426111
"cassette player"	0.0425777
pacemaker	0.0424965
"electric fan"	0.0424763
furnishings	0.0424275
"golf club"	0.0422776
gazebo	0.0422676
"Ford Taurus"	0.0421734
"electrical device"	0.0421123
urinal	0.041893
"rearview mirror"	0.0417554
cosmetic	0.0416628
"lawn chair"	0.0416471
menswear	0.0415854
"consumer electronics"	0.0415786
inhaler	0.0415213
"bowling ball"	0.0414792
reflector	0.0414258
carton	0.0413953
taxicab	0.0413697
drywall	0.041357
"foster home"	0.0413008
"security system"	0.041268
"water filter"	0.041264
cot	0.0412259
))
("car window" (desc 4223.96) (sims
windscreen	0.119132
windshield	0.0959527
kneecap	0.0667319
manhole	0.0603245
"little finger"	0.0574085
crockery	0.0572466
lamppost	0.0566514
molar	0.0559291
denture	0.0556964
"French door"	0.0544966
"rear window"	0.0531981
spigot	0.0524878
pane	0.0516533
pinata	0.0509261
tailgate	0.0508569
"shoulder blade"	0.0508562
"telephone booth"	0.0507777
"car door"	0.0504332
fibula	0.0503522
"screen door"	0.0496748
"septic tank"	0.0496655
tibia	0.0492327
"bowling ball"	0.0489299
"beer bottle"	0.0475768
binocular	0.0468935
"ring finger"	0.0466763
"telephone pole"	0.0462777
"display case"	0.0461516
femur	0.0460152
parkland	0.0440773
"cash machine"	0.0439028
pore	0.0433822
eardrum	0.0433634
"garbage truck"	0.0424952
"fire hydrant"	0.0421685
vertebra	0.041891
"snake eyes"	0.0414038
racquet	0.0407498
hatchet	0.0406918
VANTAGE	0.0402141
))
("Cara Black" (desc 1733.13) (sims
"Albert Portas"	0.357211
"Anne Kremer"	0.3422
"Nathalie Dechy"	0.328238
"Wayne Black"	0.327118
"Ramon Delgado"	0.325425
"Younes El Aynaoui"	0.323546
"Magui Serna"	0.323097
"Joannette Kruger"	0.321231
"Judith Wiesner"	0.318133
"Hernan Gumy"	0.316945
"Byron Black"	0.310448
"Franco Squillari"	0.306058
"Catalina Cristea"	0.305342
"Asa Carlsson"	0.304908
"Andrei Pavel"	0.304231
"Arnaud Clement"	0.303426
"Sarah Pitkowski"	0.303197
"Tara Snyder"	0.301773
"Arnaud Di Pasquale"	0.29886
"Florencia Labat"	0.297165
"Mariano Puerta"	0.295744
"Naoko Sawamatsu"	0.295404
"Jerome Golmard"	0.292376
"Juan Antonio Marin"	0.292056
"Tatiana Panova"	0.287567
"Francisco Clavet"	0.286932
"Karim Alami"	0.285431
"Silvia Farina"	0.284012
"Christian Ruud"	0.283296
"Adrian Voinea"	0.283034
"Yayuk Basuki"	0.282598
"Nicolas Escude"	0.281219
"Grant Stafford"	0.281173
"Andreas Vinciguerra"	0.278638
"Mark Knowles"	0.27761
"Nicole Pratt"	0.277516
"Els Callens"	0.276699
"Rainer Schuttler"	0.275852
"Sabine Appelmans"	0.275537
"Elena Likhovtseva"	0.274775
"Sargis Sargsian"	0.272054
"Barbara Rittner"	0.271573
"Michael Tebbutt"	0.270412
"Neville Godwin"	0.270138
"Richard Fromberg"	0.269142
"Xavier Malisse"	0.268297
"Carlos Costa"	0.267637
"Arnaud Boetsch"	0.26688
"Olga Barabanschikova"	0.266798
"Filip Dewulf"	0.26664
"Mariano Zabaleta"	0.266445
"Renzo Furlan"	0.263963
"Ruxandra Dragomir"	0.263252
"Tamarine Tanasugarn"	0.26192
"Natasha Zvereva"	0.261554
"Marcelo Filippini"	0.26104
"Alexandra Fusai"	0.260837
"Magdalena Maleeva"	0.260588
"Max Mirnyi"	0.25974
"Sebastien Lareau"	0.258486
"Scott Draper"	0.258478
"Barbara Paulus"	0.256916
"Rita Grande"	0.256374
"Andrew Ilie"	0.256333
"Vincent Spadea"	0.256256
"Miriam Oremans"	0.255152
"Anne-Gaelle Sidot"	0.255003
"Marcos Ondruska"	0.254858
"Hicham Arazi"	0.254759
"Roger Federer"	0.254598
"Kenneth Carlsen"	0.253577
"Jeff Tarango"	0.252482
"Alberto Berasategui"	0.250504
"Guillaume Raoux"	0.249909
"Steve Campbell"	0.249138
"Elena Dementieva"	0.248252
"Galo Blanco"	0.247918
"Leander Paes"	0.247008
"John Van Lottum"	0.243453
"Sjeng Schalken"	0.242213
"Javier Sanchez"	0.240765
"Chanda Rubin"	0.240672
"Sergi Bruguera"	0.2406
"Davide Sanguinetti"	0.238379
"Paul Haarhuis"	0.237622
"Mikael Tillstrom"	0.23665
"Julian Alonso"	0.236205
"Ai Sugiyama"	0.236123
"Brett Steven"	0.235103
"Fernando Meligeni"	0.233315
"Paola Suarez"	0.233196
"Lisa Raymond"	0.23276
"Kristie Boogert"	0.22926
"Magnus Gustafsson"	0.228986
"Fabrice Santoro"	0.223342
"David Prinosil"	0.222621
"Gianluca Pozzi"	0.222616
"Brenda Schultz-McCarthy"	0.2215
"Andrea Gaudenzi"	0.220423
"Kim Clijsters"	0.220215
"Karina Habsudova"	0.219835
"Amelie Mauresmo"	0.219604
"Mahesh Bhupathi"	0.219597
"Juan Carlos Ferrero"	0.219156
"Sebastien Grosjean"	0.217277
"Amy Frazier"	0.216055
"Iva Majoli"	0.21575
"Andrei Medvedev"	0.214514
"Corina Morariu"	0.214507
"Martin Damm"	0.211124
"Kveta Hrdlickova"	0.210345
"Nicolas Lapentti"	0.210167
"Dominique Van Roost"	0.209337
"Tommy Haas"	0.208936
"Mirjana Lucic"	0.207835
"Rika Hiraki"	0.207529
"Patty Schnyder"	0.206608
"Magnus Larsson"	0.206587
"Janet Lee"	0.205439
"MaliVai Washington"	0.205438
"Sandrine Testud"	0.205342
"Kimberly Po"	0.204306
"Irina Spirlea"	0.203254
"Lori McNeil"	0.201731
"Daniel Nestor"	0.201397
"Adriana Gersi"	0.199726
"Vince Spadea"	0.197719
"Olivier Delaitre"	0.197625
"Li Fang"	0.197611
"Julie Halard-Decugis"	0.197051
"Felix Mantilla"	0.196894
"Barbara Schett"	0.196704
"Dominik Hrbaty"	0.195971
"Jonathan Stark"	0.195342
"Marat Safin"	0.195271
"Marc Rosset"	0.193231
"Chris Woodruff"	0.192957
"Richey Reneberg"	0.191607
"Todd Woodbridge"	0.191273
"Jason Stoltenberg"	0.191186
"Daniel Vacek"	0.18959
"Anke Huber"	0.189339
"Andres Gomez"	0.187807
"Albert Costa"	0.186757
"Alex O'Brien"	0.185828
"Nicklas Kulti"	0.184632
"Thomas Johansson"	0.184447
Siemerink	0.184136
"Bohdan Ulihrach"	0.183613
"Wayne Ferreira"	0.183075
"Dennis van Scheppingen"	0.182612
"Justin Gimelstob"	0.182089
"Wayne Arthurs"	0.181618
"Magnus Norman"	0.181075
"Conchita Martinez"	0.178967
"Jan-Michael Gambill"	0.178494
"Henrieta Nagyova"	0.177605
"Alberto Costa"	0.177233
"Slava Dosedel"	0.177021
"Nathalie Tauziat"	0.176499
"Mary Joe Fernandez"	0.17475
"Jonas Bjorkman"	0.174465
"Guy Forget"	0.173544
"Amanda Coetzer"	0.172675
"Mark Woodforde"	0.172129
"Thomas Muster"	0.167891
Swardt	0.164671
"Nicolas Kiefer"	0.164434
"Jiri Novak"	0.163879
"Denisa Chladkova"	0.163218
Kroslak	0.162645
"Arantxa Sanchez-Vicario"	0.161586
"Sandon Stolle"	0.16126
"Diego Nargiso"	0.159804
"Karol Kucera"	0.159627
"Thomas Enqvist"	0.159567
Nacional	0.158733
"Paul Goldstein"	0.15865
Dragomir	0.158194
"Kimiko Date"	0.15723
"Helena Sukova"	0.155783
"Gustavo Kuerten"	0.151714
"Barbara Schwartz"	0.151501
"Jennifer Capriati"	0.151211
"Anna Kournikova"	0.149332
"Pat Rafter"	0.148911
"Alex Corretja"	0.148171
"Jelena Dokic"	0.147724
"Petr Korda"	0.1475
"Cedric Pioline"	0.147254
"Mary Pierce"	0.146924
"Alexandra Stevenson"	0.146414
"Partizan Belgrade"	0.14599
"Larisa Neiland"	0.144181
"Mark Philippoussis"	0.144048
"Arantxa Sanchez Vicario"	0.143248
"Wang Shi-Ting"	0.143081
"Carlos Moya"	0.142679
"Jim Courier"	0.14062
"Michael Chang"	0.140264
Independiente	0.139732
"Jacco Eltingh"	0.138775
"Richard Krajicek"	0.137985
"Rodney Eyles"	0.136819
"Mats Wilander"	0.136136
"Sandra Kleinova"	0.135265
"Tim Henman"	0.134366
"Stefan Edberg"	0.133636
"Katarina Studenikova"	0.133145
"Goran Ivanisevic"	0.132676
"Todd Martin"	0.132256
"Le Defi Francais"	0.13061
"Michael Stich"	0.130426
"Australian Mark Philippoussis"	0.129764
"Greg Rusedski"	0.12949
"Marcelo Rios"	0.12405
"Boris Becker"	0.122801
Testud	0.122044
"Lleyton Hewitt"	0.119132
Sugiyama	0.118611
"Monica Seles"	0.118215
"Jana Novotna"	0.118004
Halard-Decugis	0.11718
Olimpia	0.116752
"Serena Williams"	0.116386
Kucera	0.116062
Stoltenberg	0.114655
"Yevgeny Kafelnikov"	0.113631
"Lindsay Davenport"	0.11162
"Patrick Rafter"	0.110695
"Phenix City"	0.110612
"Venus Williams"	0.110485
"Fung Permadi"	0.109778
Mauresmo	0.109487
"Steffi Graf"	0.108327
Schalken	0.107974
"Peter Nicol"	0.107961
"Camilla Martin"	0.107563
Tarango	0.106542
Bjorkman	0.106059
"American Todd Martin"	0.104949
"Russian Yevgeny Kafelnikov"	0.104497
Habsudova	0.103952
"Colo Colo"	0.103521
"Peter Rasmussen"	0.103493
"Martina Hingis"	0.102998
"Li Ju"	0.102818
"Wang Liqin"	0.102195
"DON JOHNSON"	0.100761
))
(CARACAS (desc 12966.1) (sims
BRASILIA	0.224129
BOGOTA	0.22393
Quito	0.215324
"Mexico City"	0.212687
Santiago	0.212036
Managua	0.210599
"Buenos Aires"	0.20804
MONTEVIDEO	0.18886
Lima	0.1875
Dushanbe	0.186219
Prague	0.184851
BUCHAREST	0.183641
HARARE	0.182821
Amman	0.18266
"Rio de Janeiro"	0.181029
SEOUL	0.180431
Vienna	0.179954
Luanda	0.179349
Manila	0.178933
TUNIS	0.17893
BUDAPEST	0.178625
Riyadh	0.177817
Algiers	0.176792
CAIRO	0.17565
Jakarta	0.174881
Lusaka	0.174004
"Phnom Penh"	0.17377
TEGUCIGALPA	0.173694
JOHANNESBURG	0.173363
HANOI	0.172302
KAMPALA	0.170007
COLOMBO	0.169903
Tehran	0.169297
"Guatemala City"	0.167226
Port-au-Prince	0.167133
Nairobi	0.166557
"New Delhi"	0.16625
DHAKA	0.166038
"Kuala Lumpur"	0.165074
SOFIA	0.164516
"Panama City"	0.162148
WARSAW	0.16179
Havana	0.161736
Rabat	0.161219
KIEV	0.160025
"SANTAFE DE BOGOTA"	0.15857
Islamabad	0.15836
"Addis Ababa"	0.158297
Bangkok	0.157334
"Abu Dhabi"	0.157304
Beirut	0.156565
"Ulan Bator"	0.154998
ZAGREB	0.153136
"Santo Domingo"	0.152411
Kathmandu	0.152001
MAPUTO	0.151616
"Tel Aviv"	0.151594
TIRANA	0.15127
Cartagena	0.15071
Sarajevo	0.150442
Istanbul	0.15036
Gaborone	0.149146
Lagos	0.148771
"San Salvador"	0.148348
BRUSSELS	0.148055
LISBON	0.146852
Maseru	0.146688
Minsk	0.145594
MANAMA	0.145111
Windhoek	0.143823
"Dar es Salaam"	0.143777
YANGON	0.142819
Tokyo	0.142257
SANAA	0.142201
Madrid	0.142027
ATHENS	0.14153
Asuncion	0.14032
Pretoria	0.139926
Kigali	0.139181
Helsinki	0.138477
Suva	0.138273
Khartoum	0.138126
"Egyptian capital"	0.138074
Durban	0.137597
ANKARA	0.137314
Belfast	0.137204
Tbilisi	0.135571
Skopje	0.133965
"Sao Paulo"	0.133935
Vientiane	0.132931
NICOSIA	0.132468
Vilnius	0.13192
Tripoli	0.131671
"Cape Town"	0.131631
Geneva	0.131228
Bishkek	0.130435
Dili	0.13034
Moscow	0.12964
Yaounde	0.129452
Damascus	0.129144
STOCKHOLM	0.127029
Taipei	0.126784
Asmara	0.126727
"La Paz"	0.126723
Doha	0.126489
Bujumbura	0.126441
Accra	0.125799
Copenhagen	0.124897
Dublin	0.124258
BEIJING	0.124194
"San Jose"	0.123119
Mbabane	0.123016
Baku	0.123014
Honolulu	0.122586
Monrovia	0.12226
Alma-Ata	0.121949
Auckland	0.121662
PYONGYANG	0.121656
Reykjavik	0.121651
Srinagar	0.121589
Paris	0.121373
Baghdad	0.120906
Berlin	0.119881
Frankfurt	0.119727
Kinshasa	0.119291
Pristina	0.118821
Lome	0.118527
Peshawar	0.11782
Katmandu	0.117497
"KUWAIT CITY"	0.117331
JERUSALEM	0.117251
BELGRADE	0.116864
Karachi	0.116858
Bonn	0.116301
Abidjan	0.115765
Abuja	0.115434
Ottawa	0.115192
BRATISLAVA	0.114538
Wellington	0.114327
LONDON	0.114267
"St. Petersburg"	0.113914
Canberra	0.113896
Rome	0.113852
Amsterdam	0.113544
"San Juan"	0.113326
Tashkent	0.11307
Bern	0.112964
Gaza	0.112467
Makhachkala	0.111867
Kabul	0.111456
Teheran	0.111122
Oslo	0.110843
"ALMA ATA"	0.110811
Lhasa	0.110743
Mogadishu	0.110549
Merida	0.110408
"Des Moines"	0.109799
CHENGDU	0.10953
Bombay	0.109014
Ramallah	0.10858
Alexandria	0.108461
"Gaza City"	0.108215
Lahore	0.107253
Muscat	0.107181
"Little Rock"	0.107037
Bissau	0.10659
Minneapolis	0.106137
Yerevan	0.10581
Calcutta	0.10578
"Ho Chi Minh City"	0.1052
Chisinau	0.104842
PALERMO	0.104573
Guadalajara	0.104086
Shanghai	0.102842
Albany	0.101902
Freetown	0.101877
Tampa	0.101298
Dakar	0.101239
Milan	0.100818
Lausanne	0.100518
TALLAHASSEE	0.10044
MELBOURNE	0.100286
Juba	0.0995962
Charleston	0.0992573
Ljubljana	0.0986242
Kunming	0.0985209
Arusha	0.0983281
"Greek capital"	0.0982585
Almaty	0.0981665
Honiara	0.0975671
"Oklahoma City"	0.0974176
Winnipeg	0.0971473
Murmansk	0.0969976
Ashkhabad	0.0969786
Riga	0.0968053
Strasbourg	0.0967222
Naples	0.0960301
Podgorica	0.0960092
Rochester	0.0953609
"The Hague"	0.0951939
))
(carafe (desc 1342.29) (sims
jug	0.126369
flask	0.122978
decanter	0.105997
beaker	0.0894675
saucer	0.0874533
Goblet	0.0825215
tumbler	0.0824222
crockery	0.0740834
"two bottles"	0.0739985
drawers	0.0735509
vase	0.0714962
teapot	0.0695397
bowls	0.0678567
"one cup"	0.0639512
kettle	0.0634006
desalination	0.0629012
wastage	0.0618522
"shower stall"	0.0593986
vas	0.059352
quart	0.0592076
spigot	0.0575694
"oil lamp"	0.0574219
"beer bottle"	0.056357
keg	0.0560959
"contact lense"	0.0505406
"tea set"	0.0493123
Thermos	0.048344
half-full	0.0473758
candlestick	0.0456962
archway	0.0446458
"first cup"	0.0444965
turbogenerator	0.0441325
"Eighty-five percent"	0.044111
"loaf of bread"	0.0435275
"flow rate"	0.0431589
mouthful	0.041988
scrim	0.041925
wastebasket	0.0410709
sunroof	0.040754
"blood feud"	0.0406939
orb	0.040471
Filtration	0.0401673
))
(caramel (desc 5034.85) (sims
chocolate	0.147038
"brown sugar"	0.123793
butter	0.116253
"whipped cream"	0.113258
vanilla	0.109216
marshmallow	0.108657
liqueur	0.106117
syrup	0.10457
coconut	0.104011
margarine	0.0984103
raisin	0.0974125
Cherry	0.0958221
honey	0.0951994
mayonnaise	0.0931614
jelly	0.091136
sugar	0.089936
sauce	0.0879503
"evaporated milk"	0.0878975
raspberry	0.0859529
"peanut butter"	0.0854987
"egg white"	0.0850659
fudge	0.0850424
custard	0.084373
toffee	0.0842746
"maple syrup"	0.0836279
crust	0.0835902
vinegar	0.083575
molasses	0.0820752
salt	0.081079
mixture	0.0810643
peach	0.0809237
shortening	0.0805765
peanut	0.0794915
cooky	0.0791181
pecan	0.078968
candy	0.0787412
glaze	0.0783347
spice	0.077994
cinnamon	0.0777362
sorbet	0.0775327
cream	0.0775047
cheese	0.0775006
"condensed milk"	0.0765673
"milk chocolate"	0.0764446
"ice cream"	0.0753456
yogurt	0.0752038
cake	0.0750536
"olive oil"	0.0748501
almond	0.0744719
praline	0.0743205
juice	0.0743145
mint	0.0738912
hazelnut	0.0738852
wax	0.0736801
chartreuse	0.0734852
"corn syrup"	0.0733403
filling	0.0729118
pineapple	0.0727898
strawberry	0.0726697
truffle	0.0720813
nut	0.0718642
broth	0.0716695
lemon	0.0709309
dough	0.0706983
grapefruit	0.0698318
cocoa	0.0698126
bread	0.069744
walnut	0.0694202
"dried fruit"	0.0689853
"vanilla extract"	0.0683779
yolk	0.0676998
flour	0.0676829
horseradish	0.0673877
buttermilk	0.0671858
sherry	0.0669717
fraiche	0.0663524
"sesame oil"	0.06579
flake	0.0657844
"soy sauce"	0.0655993
Orange	0.0655147
fig	0.065454
"hoisin sauce"	0.0654376
licorice	0.0652785
frosting	0.0651097
potato	0.0648959
"lemon juice"	0.0644999
cornmeal	0.064082
Pudding	0.0640359
biscuit	0.0638371
rum	0.0637248
soup	0.063613
mustard	0.0635793
popcorn	0.063488
pear	0.0631389
"lime juice"	0.0627674
"jelly bean"	0.0625227
TART	0.0621078
cashew	0.0617901
Liquid	0.0616349
half-and-half	0.0614776
crepe	0.061285
bean	0.0612568
lava	0.0612333
brownie	0.0611551
"cream cheese"	0.0610885
crumb	0.0610623
berry	0.0606511
legume	0.0605055
pastry	0.0605036
Garlic	0.0604843
"baking soda"	0.0604565
curd	0.0601842
porridge	0.0598993
puree	0.0598107
marinade	0.0594997
"cottage cheese"	0.0592971
onion	0.0585827
"orange juice"	0.0583517
pretzel	0.0573736
polenta	0.0571433
"egg yolk"	0.0570533
pasta	0.0568761
"pecan pie"	0.0567081
tortilla	0.0563686
oatmeal	0.056015
Jell-O	0.0559178
icing	0.0557876
banana	0.0555449
"almond extract"	0.0555261
meringue	0.055344
beige	0.0551839
mousse	0.0545732
soda	0.0545007
pie	0.0543612
"fruit juice"	0.054166
wafer	0.0538768
caviar	0.0534141
powder	0.053051
"vegetable oil"	0.0529727
blackberry	0.0529336
gravy	0.052827
pumpkin	0.0528098
"macadamia nut"	0.0526213
eggplant	0.0525229
cornstarch	0.0524442
dressing	0.0523261
tomato	0.0522537
creme	0.05199
miso	0.0519312
"orange peel"	0.0518488
doughnut	0.0517903
vinaigrette	0.0517731
yeast	0.051677
"brown rice"	0.0515417
chiles	0.0514801
cider	0.0514253
bonbon	0.0512883
Basil	0.0511249
lavender	0.0510554
lard	0.0510232
lime	0.05089
"pine nut"	0.0508045
sweetener	0.0505179
"blue cheese"	0.0504523
seasoning	0.0502291
"tomato juice"	0.0501643
"sesame seed"	0.0500222
noodle	0.0497715
plum	0.04972
slime	0.0494398
paste	0.049189
spinach	0.0491301
"goat cheese"	0.0490753
"pumpkin pie"	0.0487129
"vanilla ice cream"	0.0486953
"white rice"	0.048573
"apple juice"	0.0485364
herb	0.0483253
apricot	0.0482286
cereal	0.0480844
avocado	0.0480781
"root beer"	0.0477689
cracker	0.0477626
carrot	0.0477574
"hot dog"	0.0475679
goo	0.0475009
"chocolate cake"	0.0474672
crab	0.0474103
croutons	0.0473283
pork	0.0472272
"chocolate chip cookie"	0.0470404
pistachio	0.0466964
fruitcake	0.0466931
tofu	0.04661
ketchup	0.0465878
cookie	0.0464955
"coconut milk"	0.0462498
ginger	0.0462213
waffle	0.0462104
"wax paper"	0.0462037
))
(Caravaggio (desc 3246.78) (sims
"El Greco"	0.157865
Raphael	0.135352
Rubens	0.129832
Vermeer	0.123197
Rembrandt	0.11455
"Vincent van Gogh"	0.107132
"Francis Bacon"	0.105051
Michelangelo	0.100233
"Salvador Dali"	0.0987418
Goya	0.0931589
"Norman Rockwell"	0.0931341
"van Gogh"	0.0911763
"Chris Ofili"	0.0858236
"Van Dyck"	0.0849929
Rothko	0.0835999
Matisse	0.0807363
"Jackson Pollock"	0.077902
Gogh	0.0767914
Velazquez	0.0703963
Picasso	0.0703321
Monet	0.0678686
Delacroix	0.0660536
Titian	0.0655807
Heade	0.0628514
Pollock	0.0620167
"Georgia O'Keeffe"	0.0617142
O'Keeffe	0.060566
Ofili	0.0598527
Bellini	0.0594675
"Robert Rauschenberg"	0.0585293
Vinci	0.0576408
Plath	0.0545286
Renoir	0.0533315
Dali	0.0529026
Kinkade	0.052791
"Claude Monet"	0.0527707
capo	0.0518714
Modigliani	0.0508966
Socrates	0.0498212
Sargent	0.0495212
Leonardo	0.0492037
"Diego Rivera"	0.0491746
"Roy Lichtenstein"	0.04851
Vitoria	0.0484068
"Andy Warhol"	0.047477
COMDEX	0.0466046
Degas	0.0463522
Koresh	0.0461558
Fosse	0.0460473
"David Koresh"	0.0458618
Milken	0.0454001
Nijinsky	0.0443859
"folk art"	0.0443837
Tae-woo	0.0441875
"Francis of Assisi"	0.0441638
Christo	0.0426808
Wyeth	0.0423815
Shapiro	0.0422771
Manet	0.0419432
Lindbergh	0.0414809
Cobain	0.0414572
McCloud	0.0412495
"old master"	0.0411561
Bosch	0.0410331
McKenzie	0.0408063
Kaye	0.0407288
Gielgud	0.0407244
Bonnard	0.0401254
))
(caravan (desc 14503.8) (sims
convoy	0.162618
motorcade	0.14311
procession	0.0870247
limousine	0.0771864
hearse	0.0763124
trolley	0.0747741
Tram	0.0728373
"school bus"	0.072001
van	0.0711603
truck	0.0695644
cortege	0.0691784
"moving van"	0.0691447
marcher	0.0674554
jeep	0.066248
bus	0.0660132
cab	0.0651921
parade	0.0642105
"garbage truck"	0.0626419
flotilla	0.0621869
lorry	0.060266
tractor	0.0600657
wagon	0.0591008
"warm front"	0.0588662
fleet	0.0571234
mini-buses	0.0555368
"pickup truck"	0.0550655
busload	0.0549993
Limo	0.054666
minibus	0.0545748
"patrol car"	0.0544918
taxi	0.0539719
carriage	0.0530516
tanker	0.0525261
"military vehicle"	0.0520194
"dump truck"	0.0516301
"passenger train"	0.0512144
hovercraft	0.0501552
semitrailer	0.049777
consignment	0.0494638
tractor-trailers	0.0493441
minivan	0.049233
planeload	0.0486294
entourage	0.048473
"commuter train"	0.0484536
"freight train"	0.0482457
"police car"	0.0481863
RV	0.0480456
"station wagon"	0.0479523
turboprop	0.0478971
throng	0.0476007
herd	0.0475034
pilgrimage	0.0474439
ferry	0.0470974
cart	0.0470883
taxicab	0.0467956
"personnel carrier"	0.0466243
queue	0.0463566
Ambulance	0.0461105
trailer	0.0459522
pickup	0.0458829
"police van"	0.0457576
expedition	0.0453808
occupant	0.0452432
cavalcade	0.0442697
minibuses	0.0441239
horde	0.0439304
"golf cart"	0.0434845
"fire truck"	0.0433026
"passenger ship"	0.0430118
"core group"	0.0426579
Mini-bus	0.0425202
shipment	0.0424987
motorboat	0.042297
trek	0.0420024
"battle group"	0.0419355
headlight	0.0419233
"pilot program"	0.0417914
"tractor trailer"	0.0417266
minivans	0.0416279
armada	0.0415032
"steering committee"	0.0411795
commuter	0.0411571
rickshaw	0.0409803
carload	0.0407539
"oil tanker"	0.0404054
cavalry	0.0402392
"front end"	0.0402108
camper	0.0401816
"railroad car"	0.0400786
"city bus"	0.040018
))
(Caray (desc 1680.09) (sims
Cusack	0.0819212
Borrego	0.0793321
Boller	0.078619
Hirst	0.0783751
Cosell	0.0780929
Sheedy	0.0778732
Dungy	0.0778626
Magaziner	0.0772228
Baugh	0.0771156
Weinke	0.0759564
Duchovny	0.0753502
Puzo	0.0741528
Hartwig	0.0741461
"Patsy Ramsey"	0.0739486
Lipponen	0.0737167
Hepburn	0.0722418
Lafleur	0.0706273
Blume	0.0704981
LeBlanc	0.0697383
Piot	0.0692102
Baerga	0.0690153
Molina	0.0680982
naturalness	0.0678735
Biskind	0.0678543
Ness	0.0677819
Bullard	0.0671506
capella	0.0669737
Heche	0.0667753
Enis	0.0659309
Webdale	0.0658291
Benigni	0.0656488
Bratton	0.0654639
Ruehe	0.0653297
Cleese	0.0650706
Crocker	0.0647085
Reiner	0.0646725
Solondz	0.0646625
Gooding	0.0643476
Fiennes	0.0642333
Guthridge	0.0638494
Hendrickson	0.0638113
Dierker	0.0636939
Atler	0.0635073
Affleck	0.0634888
Vogel	0.063229
"Calvin Coolidge"	0.0631542
Rhonda	0.0631153
Barrie	0.063036
Abbie	0.0629359
Jarrell	0.0628188
Stillman	0.0627409
Mcbride	0.0627368
Grunow	0.0627113
Monson	0.0626478
McCombs	0.0625642
Hartley	0.0622546
ISSEL	0.0621675
Bono	0.0620047
REEVE	0.0614906
Leyland	0.0611157
Murayama	0.060971
Lindbergh	0.0609161
Kilborn	0.0609026
Meston	0.0605719
Braugher	0.0600542
Gilkey	0.0599754
Halloran	0.0599038
Gomez	0.0599018
Winkler	0.0595549
Masur	0.0595154
Alonzo	0.059365
Havelange	0.0593227
Sehorn	0.0589981
Unser	0.0589518
Cline	0.0587862
Paxton	0.0587601
Knapp	0.0587505
Alarcon	0.0585732
Goldwater	0.0582486
Yarnall	0.0581815
Spielman	0.0581487
Soyinka	0.0579379
Felton	0.0578014
Konstantinov	0.0577886
McMullen	0.0577484
Buzek	0.0577405
Gugliotta	0.057712
Tuinei	0.0576708
Falater	0.0575954
"General Committee"	0.0575294
Sampson	0.0574704
Cho	0.0572177
Dorismond	0.0571859
Pryor	0.0570715
Dubus	0.0569413
Lindros	0.056878
Bryson	0.0568709
Janice	0.0568444
RFK	0.056701
Hadley	0.0566861
Alexie	0.056528
Hoch	0.0565129
Groening	0.0564888
Cooley	0.0564705
Perrot	0.0563081
Kusama	0.0562097
Rongen	0.0561952
Krzyzewski	0.05608
Sykes	0.0560449
Devine	0.0559767
Indyk	0.0558976
Figgis	0.0556665
Gores	0.0555813
Sim	0.0555069
Fasano	0.0554172
Downey	0.0553769
Grasso	0.0553142
Maguire	0.0551824
Clive	0.0551629
Berenson	0.0551156
Faulk	0.0550283
Whitacre	0.0549807
Winfrey	0.0548219
Pfeiffer	0.0547478
Gravano	0.054746
Lombardi	0.0546573
Vogts	0.0546188
Weisman	0.0546163
Crowe	0.054593
"Tomiichi Murayama"	0.0545491
Koresh	0.0545229
Stephanopoulos	0.0545185
Sarazen	0.0544822
"Roy Jones Jr."	0.0544735
Jetta	0.0544657
Sang	0.0543711
Spacey	0.0543376
Russo	0.0542509
Gibson	0.0540677
Caine	0.0540102
Darnell	0.0540061
Schott	0.0539573
furrow	0.0538905
Klima	0.053774
Flanagan	0.0535868
Brister	0.0535804
FOMC	0.0535354
McKenna	0.0535281
Titov	0.0533609
Kidder	0.0532883
Clooney	0.0531846
Puente	0.053182
Shapiro	0.0529897
"George W."	0.0529623
Maruyama	0.0529508
Kirk	0.052893
Malu	0.0528643
Tomlin	0.0528577
Romanowski	0.0527928
McKnight	0.0527684
Mandelson	0.0527055
Eastwood	0.0526989
Betts	0.052668
Tatis	0.0526636
Fuentes	0.0524874
Epps	0.0524724
Broderick	0.0523155
Solich	0.0523004
Edelstein	0.0522614
Donnelly	0.0521635
"De Soto"	0.0521311
"English Football Association"	0.0520618
Travolta	0.0519773
Russert	0.051971
Hemingway	0.051838
Maher	0.0517201
Deneuve	0.0516528
Milbury	0.0515747
Tucci	0.0515569
Croshere	0.0515023
Ripken	0.0514639
Applegate	0.0513926
Menuhin	0.0513095
Kerrigan	0.0513031
McGregor	0.0512401
"Maturino Resendiz"	0.0512139
Corey	0.0511668
Stayner	0.0510318
DONOVAN	0.0509991
Rahal	0.0509654
Meguid	0.0509596
Iger	0.0509546
Keitel	0.0508455
Levine	0.050782
Wolfe	0.0507308
Glover	0.0507163
Chappell	0.0506838
Quintana	0.0504811
Scully	0.0504789
Grossman	0.0504405
))
(carbine (desc 1989.3) (sims
"sawed-off shotgun"	0.244174
"submachine gun"	0.222324
"machine gun"	0.203377
"automatic rifle"	0.192782
revolver	0.185398
silencer	0.182068
handgun	0.165334
pistol	0.164285
rifle	0.16305
AK-@@	0.15865
M-@@	0.157453
shotgun	0.154532
"hand grenade"	0.139588
musket	0.12925
Grenade	0.117078
"fishing rod"	0.111906
walkie-talkie	0.111406
Magnum	0.110916
launcher	0.107621
"rocket launcher"	0.107096
machete	0.10076
ammunition	0.100116
cartridge	0.0941573
Uzi	0.0930804
bayonet	0.0911267
"pipe bomb"	0.0903344
machine-guns	0.0877107
bazooka	0.0831123
machineguns	0.0828439
Glock	0.081098
calibre	0.077269
M@@	0.0769674
howitzer	0.0760197
"hunting knife"	0.0744657
"bulletproof vest"	0.0725365
sniper	0.0702198
holster	0.0700612
"ski mask"	0.0697256
slingshot	0.0688426
"plastic explosive"	0.0673563
T-@@	0.0670298
chainsaw	0.0659577
mortar	0.0656603
"walking stick"	0.0650324
DC-@	0.0644783
"army tank"	0.0641792
"explosive device"	0.0635538
cellphone	0.0633189
dagger	0.0633082
nightstick	0.0628792
caliber	0.0618593
crowbar	0.0615558
"air-to-air missile"	0.0594754
"personnel carrier"	0.0587618
Winchester	0.0581378
crotch	0.0571469
Beretta	0.0552107
repeater	0.0543942
"tear gas"	0.0535348
cannon	0.0528681
"heavy weapon"	0.0521164
clipboard	0.0518272
crossbow	0.0515514
"hockey stick"	0.0514382
camcorder	0.0511935
detonator	0.0503778
mace	0.0495786
"electrical device"	0.0492413
"book bag"	0.0488682
"two bags"	0.0488467
"surface-to-air missile"	0.0487763
"fire extinguisher"	0.0479928
motorway	0.0479851
"chain saw"	0.047115
flamethrower	0.0469205
"home movie"	0.0464155
cannonball	0.0460848
pillowcase	0.0455534
"school girl"	0.0454646
cannister	0.0448349
"baseball bat"	0.0447079
RedHawks	0.0436968
"bus line"	0.0436363
"poison gas"	0.0432423
mockup	0.0429788
AMT	0.0425571
Gurkha	0.0423419
pellet	0.0423202
"high explosive"	0.0422431
Tomahawk	0.0418286
"bag of tricks"	0.0413448
cubby	0.0411665
"fraternity house"	0.0407869
"golf bag"	0.0405837
loader	0.0404915
"black flag"	0.0401112
"tennis racket"	0.0400643
))
(carbohydrate (desc 8358.42) (sims
calory	0.274435
sodium	0.266811
protein	0.248473
fat	0.240992
cholesterol	0.235497
fiber	0.187253
calorie	0.178225
"fatty acid"	0.171769
Calcium	0.164509
starch	0.155444
caffeine	0.141405
potassium	0.140706
nutrient	0.140532
"animal fat"	0.124403
LDL	0.121835
lactose	0.118954
vitamin	0.118635
"vitamin A"	0.111545
"vitamin C"	0.111488
glucose	0.109916
sugar	0.105453
"B vitamin"	0.101708
antioxidant	0.101183
"amino acid"	0.0970653
"vitamin E"	0.0947745
magnesium	0.0930284
insulin	0.0921087
"folic acid"	0.0919815
HDL	0.0919627
folate	0.0892908
salt	0.0877402
soy	0.086971
"dairy product"	0.0824477
alcohol	0.0819693
carotene	0.0792385
iodine	0.0739006
mineral	0.0736813
nitrogen	0.0728093
tremolite	0.0727291
electrolyte	0.0722971
phosphorus	0.0716657
gram	0.0706269
acid	0.0688353
olestra	0.0687388
collagen	0.0685403
iron	0.068435
nicotine	0.0650207
antigen	0.0644582
hormone	0.0638891
preservative	0.0636223
meat	0.0634269
cellulose	0.0628183
carbon	0.0621357
vegetable	0.0612659
enzyme	0.0609722
"raw meat"	0.0604813
"vegetable oil"	0.0592323
legume	0.0592236
hemoglobin	0.0585247
oxygen	0.0577981
"fruit juice"	0.0573677
moisture	0.0572365
cortisone	0.0568681
impurity	0.0564051
peptide	0.0561211
selenium	0.0560748
sweetener	0.0560096
Endostatin	0.0559915
antibody	0.0555097
"blood sugar"	0.0553888
chloride	0.0547113
dairy	0.0542564
lard	0.0540368
"egg yolk"	0.0533699
"snack food"	0.0531462
sulfur	0.051637
low-fat	0.0514256
dioxin	0.051292
"blood cell"	0.0497286
flour	0.0487412
tofu	0.0483946
toxin	0.0481818
cornstarch	0.0476195
intake	0.047596
lycopene	0.047345
fluid	0.0471501
molecule	0.0469195
opiate	0.0464032
"egg white"	0.0463579
sedative	0.0462328
contaminant	0.0461935
leptin	0.0461118
painkiller	0.0459343
benzene	0.0457955
nitrate	0.0456776
veggie	0.0452481
Zinc	0.0443444
pork	0.0441573
"cooking oil"	0.0438375
creatine	0.0434985
chlorine	0.0433262
nourishment	0.0431368
additive	0.0431332
yeast	0.0430738
seafood	0.0430668
"growth hormone"	0.0420509
grub	0.0419388
"chemical compound"	0.0414962
"olive oil"	0.0413491
shellfish	0.0403849
juice	0.0403316
"bamboo shoot"	0.040324
interferon	0.0401751
))
(carbon (desc 11738.7) (sims
sulfur	0.178318
nitrogen	0.173297
"carbon dioxide"	0.165079
hydrogen	0.149546
oxygen	0.133743
phosphorus	0.129303
Calcium	0.122647
iodine	0.121693
methane	0.114858
hydrocarbon	0.112773
chlorine	0.11075
isotope	0.110679
"carbon monoxide"	0.109563
potassium	0.107492
Sulphur	0.103514
nutrient	0.102837
"vitamin C"	0.0996728
"sulfur dioxide"	0.0984153
magnesium	0.0984076
CO@	0.0964111
iron	0.0957599
"nitrous oxide"	0.0951615
silicon	0.0945893
manganese	0.0941543
sodium	0.0941292
"water vapor"	0.0931455
plutonium	0.0903963
uranium	0.0896708
moisture	0.0896391
contaminant	0.0893207
gas	0.0862989
"hydrogen sulfide"	0.086139
cadmium	0.0861135
"vitamin D"	0.0836299
pollutant	0.0834814
tungsten	0.0833097
chromium	0.0830849
phosphate	0.0827687
"nitrogen oxide"	0.0824783
protein	0.0809494
Copper	0.0790026
cellulose	0.0788702
"vitamin A"	0.0784531
fiber	0.0781226
aluminum	0.0772714
helium	0.0766805
graphite	0.0763583
glucose	0.0756387
arsenic	0.0743414
benzene	0.073303
Radon	0.0730405
tremolite	0.0727878
titanium	0.0727463
ammonia	0.0727214
biomass	0.072621
impurity	0.0722254
metal	0.0718768
polymer	0.0715853
tritium	0.0713275
selenium	0.0708909
radioactivity	0.070813
mineral	0.0708105
asbestos	0.0699326
soot	0.0698362
starch	0.0698043
polypropylene	0.0695548
"fatty acid"	0.0691758
dioxin	0.0688825
Coal	0.0683974
tar	0.0679134
chloride	0.0678816
chemical	0.0678643
silt	0.0677817
carotene	0.0672124
"nitric oxide"	0.066849
Zinc	0.0659833
hemoglobin	0.065916
vapor	0.0651367
methanol	0.0641803
petroleum	0.0641728
Atom	0.0637555
cyanide	0.0637069
dioxide	0.0634788
insulin	0.0633712
wastewater	0.0632507
"chemical compound"	0.0628589
carbohydrate	0.0621357
silica	0.0621189
mercury	0.0614783
oxide	0.0612647
lithium	0.0612339
steel	0.0608311
collagen	0.0607208
ozone	0.0601764
neutron	0.0596929
residue	0.0594631
dust	0.0593316
nitrate	0.0592986
aerosol	0.0585108
lycopene	0.057881
ore	0.05788
fiberglass	0.0578415
"animal fat"	0.0578232
"iron ore"	0.0577783
"waste material"	0.0577092
quartz	0.0574898
pollution	0.0572411
plastic	0.0571412
HDL	0.0570159
alcohol	0.0568821
"stainless steel"	0.0566861
"vitamin E"	0.0566176
tailpipe	0.0563289
"organic compound"	0.0563035
"chemical agent"	0.056154
fat	0.055909
resin	0.0558242
fertilizer	0.055689
propane	0.0555555
fume	0.0553243
emission	0.0551483
"amino acid"	0.0551471
"pig iron"	0.0547264
fluoride	0.0540306
PCBs	0.0540066
sugar	0.0537401
pollen	0.0534595
cholesterol	0.0532719
cobalt	0.0524539
sediment	0.0523776
ethylene	0.0523647
Nickel	0.0521501
talc	0.0518011
"natural gas"	0.051677
"solar energy"	0.0515685
radiation	0.0513979
particle	0.051287
"essential oil"	0.0509761
DNA	0.0509619
toxin	0.0507511
molecule	0.0506981
salinity	0.0506879
Iridium	0.0501835
neutrino	0.0501581
antioxidant	0.0500301
polyethylene	0.0499572
ingot	0.0495938
pesticide	0.0495115
fluid	0.0494759
ion	0.0493683
"toxic waste"	0.0493173
"human waste"	0.0492946
calorie	0.0490081
cement	0.0488468
"crude oil"	0.048833
capsaicin	0.0487892
"electric power"	0.0485166
LDL	0.0483406
polyester	0.0481527
"gamma ray"	0.0481107
bile	0.0480888
electrolyte	0.047874
vitamin	0.047753
acid	0.0476514
grain	0.047511
"high explosive"	0.047434
MTBE	0.0474259
tracer	0.0472808
nylon	0.0471836
ephedrine	0.0471471
nicotine	0.0470734
gunpowder	0.0470728
octane	0.0470478
gasses	0.0469649
formaldehyde	0.0469624
coolant	0.046892
lysine	0.0468492
"blood cell"	0.0467519
"cane sugar"	0.0466369
pigment	0.0466349
alloy	0.0466075
radium	0.0463532
timber	0.0462139
Sarin	0.0459472
newsprint	0.0457179
Sewage	0.0455488
vermiculite	0.0455328
calory	0.0454632
sludge	0.045247
testosterone	0.0452322
antibody	0.0452254
napalm	0.0451511
"red blood cell"	0.0451167
spore	0.0449844
"steel plate"	0.0446063
estrogen	0.0446028
substance	0.0445319
POTASH	0.0442395
silicone	0.0440741
Garbage	0.0438691
))
("carbon copy" (desc 2846.68) (sims
"mirror image"	0.108625
trashing	0.0691278
nonentity	0.0590305
photocopy	0.0587998
guidepost	0.0472693
impossibility	0.0449405
wipeout	0.0436058
paragon	0.0434517
leitmotif	0.0433265
"matinee idol"	0.0422349
coming-out	0.0421617
lovefest	0.0419692
Frankenstein	0.0413485
"white person"	0.0410051
formality	0.0409129
fluke	0.0406127
shambles	0.0405445
look-alike	0.0404433
hopelessness	0.0402488
))
("carbon dioxide" (desc 16607.2) (sims
"carbon monoxide"	0.244523
nitrogen	0.233116
"nitrogen oxide"	0.229202
"sulfur dioxide"	0.223837
"nitrous oxide"	0.206454
methane	0.195477
gas	0.192655
"water vapor"	0.191998
hydrogen	0.183347
pollutant	0.178101
dioxide	0.177767
benzene	0.170643
ozone	0.170123
carbon	0.165079
oxygen	0.164814
sulfur	0.163571
"hydrogen sulfide"	0.161068
hydrocarbon	0.155197
CO@	0.152879
soot	0.144734
vapor	0.138497
emission	0.136182
particulates	0.132275
wastewater	0.130286
ammonia	0.130258
gasses	0.123799
chlorine	0.122798
chemical	0.122682
dust	0.120165
fume	0.119998
dioxin	0.117949
Radon	0.11755
radioactivity	0.117072
helium	0.116863
moisture	0.116431
glucose	0.116005
"nitric oxide"	0.114976
phosphorus	0.11329
particle	0.112983
"organic compound"	0.108887
smog	0.106761
smoke	0.10676
pollution	0.105576
mercury	0.10518
cyanide	0.103214
nutrient	0.101882
waste	0.101576
exhaust	0.100058
pesticide	0.0990082
plutonium	0.0981641
toxin	0.098117
Sulphur	0.0973931
"nitrogen dioxide"	0.0972401
steam	0.0963946
radiation	0.0961334
silt	0.0956117
arsenic	0.0937727
fuel	0.0934947
methanol	0.092978
"air pollution"	0.091934
Coal	0.0915932
ethylene	0.0903325
uranium	0.0884914
Sewage	0.0869197
PCBs	0.0859228
contaminant	0.0851164
chloride	0.082523
Calcium	0.08222
asbestos	0.0820427
Sarin	0.0807059
propane	0.0799991
fertilizer	0.0798501
oxide	0.0793196
fluid	0.0785581
plasma	0.0781394
sediment	0.0773232
salinity	0.0767134
"crude oil"	0.0765387
nicotine	0.075956
fluoride	0.0759278
dioxins	0.0757901
lava	0.0757608
iodine	0.0752588
"natural gas"	0.0751624
diode	0.0750808
substance	0.0745577
acid	0.0741193
protein	0.0737209
capsaicin	0.0735225
droplet	0.0727376
tritium	0.0726833
"pig iron"	0.0721278
sugar	0.0719858
dopamine	0.0719362
"solar radiation"	0.0714482
carcinogen	0.0714237
metal	0.0714196
"fuel oil"	0.0714049
Liquid	0.0708195
molecule	0.0706797
"acid rain"	0.0705346
gasoline	0.0703213
formaldehyde	0.0701101
poison	0.0698726
energy	0.0698698
oil	0.0696016
"rocket fuel"	0.0694602
cholesterol	0.0692779
effluent	0.0692639
phosphate	0.0684886
vibration	0.0683531
humidity	0.0683246
groundwater	0.0682808
electricity	0.0682478
tar	0.0678875
iron	0.0677833
"gamma ray"	0.0676946
"electric power"	0.0672329
impurity	0.0672065
PCB	0.0671195
tailpipe	0.0670661
sodium	0.067066
alcohol	0.0665349
nitrate	0.0664686
residue	0.0663774
heat	0.0662137
DDT	0.0660279
ash	0.0660133
ore	0.065939
VX	0.0655637
"chemical compound"	0.0654094
"toxic waste"	0.0653839
diesel	0.0651147
"dry ice"	0.0647036
chromium	0.0644613
powder	0.0642728
propellant	0.0635873
biomass	0.0632846
steel	0.0631101
petroleum	0.0628584
petrol	0.0628359
caffeine	0.0626522
cement	0.0625857
aerosol	0.06242
neutron	0.0623732
greenhouse	0.0623182
fat	0.0621229
horsepower	0.0620217
"ultraviolet light"	0.0619603
homocysteine	0.0618578
"chemical agent"	0.0618292
"solar energy"	0.0617703
fiber	0.0616314
condensate	0.0615497
enzyme	0.0614259
cocaine	0.0612655
bitumen	0.0611693
salt	0.0610597
odor	0.0610543
pollen	0.0610179
urea	0.060865
estrogen	0.0608189
hemoglobin	0.0605794
"diesel oil"	0.0604655
isotope	0.0598356
lycopene	0.0593409
LNG	0.0592065
starch	0.0590513
grain	0.0590172
mineral	0.0586066
MTBE	0.0585163
potassium	0.058381
Garbage	0.058359
Copper	0.0582559
sunlight	0.0580422
"vitamin C"	0.057776
"steel plate"	0.0577281
manure	0.057687
hormone	0.0576398
talc	0.0575529
"amino acid"	0.0575414
noise	0.0575139
"free radical"	0.0574229
marijuana	0.0573023
lint	0.0571869
insulin	0.0570644
silicon	0.0569492
electric	0.0568474
electrolyte	0.0567516
insecticide	0.0565618
munition	0.0560519
"iron ore"	0.0556966
grease	0.0556377
"blood sugar"	0.0556165
"hot air"	0.0555592
rainwater	0.0552694
testosterone	0.0551582
allergen	0.0550497
Atom	0.0548906
"red blood cell"	0.05485
))
("carbon monoxide" (desc 7956.41) (sims
"nitrogen oxide"	0.354048
"sulfur dioxide"	0.30818
"nitrous oxide"	0.262936
dioxide	0.261917
"nitrogen dioxide"	0.260367
"carbon dioxide"	0.244523
soot	0.234055
nitrogen	0.227033
benzene	0.224968
ozone	0.222922
sulfur	0.219754
methane	0.208687
arsenic	0.202343
hydrocarbon	0.19914
particulates	0.198599
"hydrogen sulfide"	0.195285
pollutant	0.185053
"organic compound"	0.180014
ammonia	0.179986
Radon	0.177891
smog	0.176841
"water vapor"	0.17601
dioxin	0.170247
cyanide	0.167007
fume	0.16374
"acid rain"	0.163038
radioactivity	0.154819
carcinogen	0.1442
vapor	0.143562
particle	0.141679
mercury	0.141107
chloride	0.135269
gas	0.133329
hydrogen	0.131196
chromium	0.129755
exhaust	0.129204
Sulphur	0.125303
"nitric oxide"	0.124919
chlorine	0.123361
emission	0.122999
pesticide	0.121431
dioxins	0.120197
asbestos	0.118002
glucose	0.117953
dust	0.116838
PCB	0.116173
radiation	0.115576
tritium	0.11404
smoke	0.11329
formaldehyde	0.111691
oxygen	0.111252
toxin	0.110633
carbon	0.109563
methanol	0.109479
PCBs	0.108689
gasses	0.108342
cadmium	0.10824
tar	0.105442
phosphorus	0.105441
oxide	0.103434
allergen	0.0997692
contaminant	0.0968884
Sewage	0.0964388
nicotine	0.0952484
"air pollution"	0.0951981
nitrate	0.0950584
chemical	0.09481
impurity	0.0931958
wastewater	0.091112
"fatty acid"	0.089657
pollution	0.0894893
caffeine	0.0891424
CO@	0.0891283
Sarin	0.0879451
alcohol	0.0878663
"blood sugar"	0.0868244
droplet	0.0850399
DDT	0.0843655
poison	0.0833836
carotene	0.0831798
cholesterol	0.0825426
"gamma ray"	0.0823636
plutonium	0.0819232
metal	0.0810084
cryptosporidium	0.0805837
coli	0.0799958
uranium	0.0795153
fluoride	0.0774734
tailpipe	0.0774652
lycopene	0.0773951
helium	0.0772302
moisture	0.0769497
aerosol	0.0765489
MTBE	0.0763354
homocysteine	0.0760312
VX	0.0759787
Calcium	0.0752824
pollen	0.073676
fungicide	0.0726053
capsaicin	0.0721636
Zinc	0.07202
testosterone	0.0719271
"vitamin C"	0.0717298
ethylene	0.0716769
acid	0.0712349
odor	0.0711598
solvent	0.0710531
residue	0.0706967
silt	0.0702493
listeria	0.0695889
bacteria	0.0686149
ephedrine	0.0684305
protein	0.0683377
HDL	0.0679042
folate	0.0675683
"toxic waste"	0.0675359
antioxidant	0.066902
sulfate	0.0666078
"chemical agent"	0.0665
coolant	0.0661562
substance	0.0660941
potassium	0.0660302
neutron	0.065949
herbicide	0.0651697
estrogen	0.0644525
selenium	0.0641741
nutrient	0.0637796
"amino acid"	0.0635541
"chemical compound"	0.0634415
salmonella	0.0633854
diesel	0.063299
voltage	0.0632427
microorganism	0.0632418
humidity	0.0614764
"vitamin E"	0.0611886
iron	0.0611352
"solar radiation"	0.0607887
germ	0.0607735
manganese	0.0600985
"sulfuric acid"	0.0600303
"red blood cell"	0.0597322
pathogen	0.0596997
effluent	0.0579823
lava	0.0579139
sediment	0.057894
salinity	0.0578795
sodium	0.0578056
spore	0.0576909
gasoline	0.0576364
contamination	0.0575371
melatonin	0.0568556
"AIDS virus"	0.0568044
serotonin	0.0565584
"heavy water"	0.0565361
propane	0.0560367
toxicity	0.0559743
insulin	0.0557019
rollovers	0.0554659
anthrax	0.055145
beryllium	0.0551323
steam	0.0551269
ash	0.0550137
"ultraviolet light"	0.0546038
iodine	0.0544952
fiber	0.0543049
noise	0.0542553
phosphate	0.0539339
heroin	0.0537346
PSA	0.0531401
dopamine	0.0529943
"diesel fuel"	0.0527072
"electric current"	0.0526041
"beam of light"	0.0523164
fluid	0.0521437
antigen	0.0520284
narcotic	0.0520225
leakage	0.0519378
venom	0.0518926
CFCs	0.0518679
"water pollution"	0.0518195
hormone	0.0517499
hemoglobin	0.0517223
"nerve gas"	0.0514921
neutrino	0.051484
"tear gas"	0.0513924
photon	0.0513778
contraband	0.0513409
vibration	0.0509612
"free radical"	0.0506865
"growth hormone"	0.0506557
Haze	0.0505338
opiate	0.0503324
algae	0.0502099
"hot air"	0.0502018
antibody	0.0501956
nandrolone	0.0501016
"waste material"	0.0499241
additive	0.0498175
Garbage	0.0492762
"fossil fuel"	0.0492404
))
(Carbonneau (desc 3133.22) (sims
Verbeek	0.207464
"Guy Carbonneau"	0.19866
Sydor	0.184815
Nieuwendyk	0.184121
Langenbrunner	0.176625
Modano	0.168354
Laudrup	0.158667
Lehtinen	0.155868
Andreychuk	0.150953
"Joe Nieuwendyk"	0.147914
"Darryl Sydor"	0.147196
"Jamie Langenbrunner"	0.144118
"Brian Skrudland"	0.140017
"Grant Marshall"	0.136966
"Mike Modano"	0.13591
Hatcher	0.132472
"Pat Verbeek"	0.131673
Nedved	0.131604
"Jere Lehtinen"	0.127349
"Craig Ludwig"	0.125931
"Mike Keane"	0.121591
"Brett Hull"	0.121466
Keane	0.119562
Smolinski	0.118804
LeClair	0.117884
Laperriere	0.117781
Tocchet	0.114991
Audette	0.114429
Stumpel	0.113396
Leetch	0.113158
Kovalev	0.112891
Robitaille	0.111974
Niedermayer	0.111011
Jagr	0.110538
Tverdovsky	0.110264
"Benoit Hogue"	0.109583
"Scott Thornton"	0.109482
Fleury	0.107882
Matvichuk	0.107018
Woolley	0.105424
Primeau	0.105122
Reichel	0.103584
"Dave Reid"	0.103564
Yzerman	0.103524
Gorter	0.103483
Peca	0.103205
Norstrom	0.101915
Kohn	0.101851
"Richard Matvichuk"	0.101653
Kamensky	0.100459
Arnott	0.1003
"Derian Hatcher"	0.100039
Fedorov	0.0997287
Akers	0.0991053
Tkachuk	0.0988064
Ricci	0.0958495
"Blake Sloan"	0.0957316
Roenick	0.0948431
Samsonov	0.0946244
Atler	0.0945381
Sykora	0.0942777
Klinsmann	0.0941658
Lindros	0.0940444
hull	0.0904941
Thornton	0.0900225
Geiger	0.0889242
Sloan	0.0889228
Najera	0.0888582
Nakata	0.0881995
Ceballos	0.0881015
Smyth	0.088055
Holik	0.0878514
Sundin	0.0870269
Heinrichs	0.0866938
Selanne	0.0863451
Kariya	0.085853
Duchesne	0.0857242
Kerr	0.0855559
Ftorek	0.0852155
Palffy	0.0850498
DeBerg	0.085023
Forsberg	0.084459
Barrie	0.084262
Artest	0.0833023
Messier	0.0833019
Detmer	0.0831412
Campos	0.0828804
Zolak	0.0828101
MacLean	0.0827736
DiMaio	0.0824971
Romanowski	0.0823612
Cowan	0.0823394
Belfour	0.0819692
Hoch	0.0817529
Matthaeus	0.0812797
Cink	0.0810506
Bratton	0.0809766
Lacroix	0.0807281
Gilmour	0.0805014
Gillom	0.0803192
Plante	0.0802925
Zubov	0.080112
Muoneke	0.0798826
Chilavert	0.0796482
ALLISON	0.0794293
Pena	0.0792648
Sahadi	0.0790968
Cullen	0.0789813
Lobo	0.0789795
axelsson	0.0788118
Traylor	0.0785795
Hendrickson	0.0785209
Drury	0.0784402
marshall	0.0781434
"Luc Robitaille"	0.0781408
Chambers	0.078088
DiSarcina	0.0778107
"Ed Belfour"	0.0777515
Hollandsworth	0.0777369
Stoneman	0.0773589
Bierhoff	0.077263
Cassell	0.0771906
Fleischer	0.0770085
Baggio	0.0769481
Strahan	0.0763869
MARBURY	0.0763601
Fizer	0.0762254
Gutierrez	0.0760613
Jonsson	0.0759728
Batistuta	0.0756271
Ferraro	0.0756039
Tomey	0.0754397
Hamm	0.0752103
Langdon	0.074893
Sapp	0.074767
"Jaromir Jagr"	0.074695
Schoeneweis	0.0744242
Boller	0.0743743
Metcalf	0.0742171
Holdsclaw	0.0738801
Caminiti	0.0738496
LaPointe	0.0738386
Bure	0.0735883
Donnan	0.0734655
Elie	0.073432
Gugliotta	0.0733675
Rahal	0.0733267
Bergkamp	0.0732607
Swann	0.0731004
Cepeda	0.0729847
Romario	0.0729521
Gagne	0.0728603
Chastain	0.0728335
Kluivert	0.0727765
Rucchin	0.0725553
Hornacek	0.072509
Toomer	0.0724497
"Adam Graves"	0.0723683
Bonilla	0.0719604
Graziani	0.0716919
Donato	0.0716659
Turgeon	0.071638
"Van Exel"	0.0714171
Santangelo	0.0713806
Hurtado	0.071378
Frye	0.0713045
estes	0.0712338
Sasser	0.0712166
Recchi	0.0711584
Ganassi	0.0707277
Szczerbiak	0.0706915
McGinest	0.0706673
"Tony Hrkac"	0.070517
Gretzky	0.0705099
Sharpe	0.0704918
Alicea	0.0703934
Storr	0.0703097
Ainge	0.0701636
Gainey	0.0700763
Olowokandi	0.0699898
Meissner	0.0699691
Okada	0.0697495
"Aaron Gavey"	0.0697206
Saberhagen	0.0697063
Vizcaino	0.0696464
McKenna	0.0696154
Cota	0.0695802
STALEY	0.0695575
"Kristine Lilly"	0.0692148
McGinnis	0.0691557
Bourque	0.0691017
nance	0.0688687
Lemieux	0.0687594
McSorley	0.0687346
CORYATT	0.0687088
Milbrett	0.0686824
Stoudamire	0.0685922
Heinze	0.0683906
Hecht	0.0683559
Kenyon	0.0682961
))
(carburetor (desc 1952.98) (sims
injector	0.0629513
"hypodermic needle"	0.062928
Optics	0.0623172
"coronary artery"	0.0622778
Limoges	0.06092
"cooling system"	0.059314
ATX	0.0592812
propeller	0.0592731
"tin can"	0.0587141
manifold	0.0577707
gearbox	0.0575267
"dry cleaning"	0.0561447
"septic tank"	0.0559627
sill	0.0556015
"automatic transmission"	0.0546521
"fish tank"	0.0529488
bogy	0.0521938
doorknob	0.0513952
axle	0.0511825
four-inch	0.05058
denture	0.0501686
gutter	0.0491789
"caustic soda"	0.0485744
"solar power"	0.0472732
afterburner	0.0471944
gyroscope	0.0470087
titanium	0.0464898
autobahn	0.0460442
radiator	0.0456755
"sea lane"	0.0448068
"heavy weapon"	0.0444695
"electrical device"	0.0444521
"ventilation system"	0.044297
"particle accelerator"	0.0437756
rudder	0.0436017
toiletry	0.043525
"rescue equipment"	0.0432322
handheld	0.0431332
defibrillator	0.042841
musket	0.0427153
GRIDDLE	0.0423378
Projector	0.0422982
aerodynamics	0.0422876
Burgos	0.0421207
"windshield wiper"	0.0419733
Arabia	0.0414178
"brake system"	0.0414156
washer	0.0413612
"propulsion system"	0.0413463
turbine	0.0409927
"sewer line"	0.0408022
stoneware	0.0404557
unicorn	0.0403905
))
(carcass (desc 15544.9) (sims
feces	0.130013
manure	0.119621
corpse	0.117908
herd	0.116251
meat	0.104384
"human waste"	0.0948801
droppings	0.0934142
skeleton	0.0913012
offal	0.0886717
bone	0.0874271
corps	0.0872868
debris	0.0849273
hulk	0.0842469
waste	0.0817141
wreckage	0.0816028
dung	0.0803095
blubber	0.0793707
excrement	0.0780822
Garbage	0.0777361
remains	0.0776252
flesh	0.0770838
skin	0.0753937
"dead body"	0.0708457
skull	0.070016
egg	0.0698493
"body part"	0.0693344
chicken	0.0692929
"cigarette butt"	0.0691298
Sewage	0.0686988
poop	0.0681444
pig	0.0671774
hoof	0.0664763
Embryo	0.0663829
fossil	0.0662888
specie	0.0657243
rearing	0.0657138
trash	0.0656098
semen	0.0654073
intestine	0.0648524
specimen	0.0646361
jerky	0.0634818
cow	0.0631863
fish	0.0629913
rubbish	0.0620845
belonging	0.0620752
teeth	0.0612513
breeder	0.0599401
litter	0.0598974
blood	0.0593499
slaughter	0.058967
breeding	0.0588917
tissue	0.0584931
antler	0.0584343
cutlet	0.0581559
bird	0.0580426
urine	0.0577401
drumstick	0.0576795
cadaver	0.0573939
animal	0.057092
fur	0.0565144
tail	0.0557919
log	0.0554689
filet	0.0553957
poultry	0.0552887
Shell	0.0550547
casing	0.0544892
Livestock	0.0539286
ovary	0.0537961
deer	0.0532212
fat	0.0530694
limb	0.0526183
cattle	0.052372
hunting	0.0517394
consignment	0.0514932
sheep	0.0514719
by-product	0.051091
scraps	0.0509529
larvae	0.0505906
torso	0.0504608
fragment	0.0503347
leaf	0.0502836
"woman's body"	0.0500955
lobster	0.0498015
wreck	0.0497715
calf	0.0494783
habitat	0.0493922
patty	0.0493005
"explosive device"	0.0491636
cartilage	0.0490891
beef	0.0490134
liver	0.049013
"milk cow"	0.0488374
hog	0.0486356
raiser	0.0486173
whale	0.0485838
snout	0.0480578
milk	0.048035
Tooth	0.0478104
fruit	0.0477855
vegetable	0.0476614
artifact	0.0476059
brain	0.0475598
fetus	0.0472462
husbandry	0.0472428
bait	0.0472397
vegetation	0.0469647
guts	0.0466022
insect	0.0464517
geese	0.0462404
grazing	0.0462264
breast	0.0459225
feather	0.0458357
poacher	0.0456965
leftover	0.0456926
"dead animal"	0.0455739
"futures price"	0.0455676
chemical	0.0454606
rib	0.0450884
junk	0.0450775
metal	0.0450378
rubble	0.0447771
poaching	0.044764
steak	0.0444568
shipment	0.04443
sausage	0.0442318
shard	0.0442255
burgers	0.0441978
sediment	0.0439277
mammal	0.0438706
herder	0.0438379
overpopulation	0.0438332
container	0.0436319
fillet	0.0433565
stomach	0.043127
belly	0.0430975
claw	0.0430261
crow	0.0429666
statue	0.0428072
chunk	0.042797
syringe	0.0421875
footprint	0.0421414
mice	0.0419991
sperm	0.0418419
goat	0.0417067
"animal product"	0.0416858
byproducts	0.0415234
napalm	0.0415057
bottle	0.0414375
farming	0.0414348
"land mine"	0.0414313
ash	0.0414262
brick	0.0412638
munition	0.0411935
muck	0.0411405
truckload	0.0410685
genomes	0.0409346
contraband	0.0409205
penis	0.0408862
timber	0.0408857
hull	0.0408849
remnant	0.0408803
"toxic waste"	0.0407813
sculpture	0.0407268
"sea lion"	0.040705
tusk	0.0406562
stump	0.0406453
Coin	0.0406225
bison	0.0405723
vial	0.0404858
Clothing	0.0404129
burger	0.0401939
salmon	0.0401188
bacteria	0.0400819
))
(carcinogen (desc 5653.39) (sims
contaminant	0.181484
toxin	0.158457
"carbon monoxide"	0.1442
allergen	0.138279
"hydrogen sulfide"	0.127979
dioxin	0.124331
pesticide	0.116955
pollutant	0.116555
poison	0.116373
chemical	0.110283
arsenic	0.109884
Radon	0.106356
PCBs	0.10557
substance	0.104606
impurity	0.0960225
radioactivity	0.0954686
pathogen	0.0933347
benzene	0.092508
chloride	0.0915925
asbestos	0.0908857
DDT	0.0902792
antioxidant	0.0847927
particulates	0.084073
dioxins	0.0834093
cryptosporidium	0.0832981
dioxide	0.0831476
"nitrogen oxide"	0.0824056
bacteria	0.0823849
cadmium	0.0816995
steroid	0.0813014
microorganism	0.0793663
chlorine	0.0792992
residue	0.0792714
mercury	0.0788567
additive	0.0777432
cyanide	0.0759024
hazard	0.073736
serotonin	0.0737157
"sulfur dioxide"	0.0730445
nicotine	0.0718043
"carbon dioxide"	0.0714237
solvent	0.0713546
defoliant	0.0712384
hormone	0.0710939
dopamine	0.0707366
MTBE	0.0707304
nitrogen	0.0706704
bacterium	0.0696202
anthrax	0.0695335
chromium	0.0693907
EPO	0.0690367
fluoride	0.0680579
"folic acid"	0.0678819
acid	0.0678094
fungi	0.0673218
listeria	0.0660776
"neurological disease"	0.0659329
"human growth hormone"	0.0656988
lycopene	0.0649311
microbe	0.0649083
iodine	0.064661
capsaicin	0.0646243
ammonia	0.0642798
"water vapor"	0.0642707
malignancy	0.0639914
testosterone	0.0637117
troublemaker	0.0634262
protein	0.0630135
hydrocarbon	0.0626016
"organic compound"	0.0625754
pollen	0.061875
antigen	0.061827
isotope	0.0617992
"chemical agent"	0.0617265
"toxic waste"	0.0616189
homocysteine	0.0612553
germ	0.0601232
carotene	0.0601015
Botox	0.0598962
nandrolone	0.0598237
herbicide	0.0595417
particle	0.0595309
contamination	0.0591744
"amino acid"	0.0590111
vapor	0.0586643
antibody	0.0583721
shoplifter	0.0582789
radiation	0.0581611
sulfur	0.058153
"AIDS virus"	0.0581283
enzyme	0.0579994
imposter	0.0578584
estrogen	0.0578058
toxicity	0.0570455
contraband	0.0570186
violator	0.0569814
pest	0.0566556
"risk factor"	0.0563628
parasite	0.0559136
PCB	0.0554788
sedative	0.0553309
nutrient	0.0552683
pseudoephedrine	0.0551824
ephedrine	0.0544797
nitrate	0.0544371
tremolite	0.0542869
stimulant	0.0542075
Erythropoietin	0.0540842
salinity	0.0539884
spore	0.0536556
methane	0.0535504
CFCs	0.0532788
diuretic	0.0532272
smog	0.0532122
phosphorus	0.0531762
"growth hormone"	0.0528827
aphrodisiac	0.0528432
alcohol	0.052723
"job candidate"	0.0527117
"nerve gas"	0.0523301
formaldehyde	0.0522777
glucose	0.0521052
coli	0.0517858
Sewage	0.0517767
"nitrogen dioxide"	0.0516686
"fatty acid"	0.0514182
"blood sugar"	0.0513805
ozone	0.0512055
munition	0.0511779
Calcium	0.0509141
"mustard gas"	0.0507514
mineral	0.0507397
molecule	0.0503143
tar	0.0502897
T-cells	0.0502756
fume	0.0502727
corrosion	0.0501889
folate	0.0497292
hGH	0.0496652
"war criminal"	0.0495239
melatonin	0.0494778
androstenedione	0.0493288
organism	0.0492533
"West Nile"	0.0492341
effluent	0.0491979
culprit	0.0490638
"cancer cell"	0.0487964
antibiotic	0.0482291
PSA	0.0481981
eyesore	0.0479411
anesthetic	0.0478932
HDL	0.0478016
soot	0.047235
by-product	0.0469138
lactose	0.0468631
smallpox	0.0467575
"child molester"	0.0467572
"mentally retarded"	0.0467208
"vitamin E"	0.0466181
"acid rain"	0.0464968
"ultraviolet radiation"	0.0462894
inhibitor	0.0462627
vibration	0.0462469
fiber	0.0462338
hemoglobin	0.0462073
CO@	0.0459203
cholesterol	0.0457343
blackmailer	0.0457284
genomes	0.0457214
byproduct	0.0456065
spammers	0.0455126
Sarin	0.045509
encephalitis	0.0455042
selenium	0.0454158
plutonium	0.0451599
irritant	0.0450761
infraction	0.0449718
insulin	0.0449433
provocateurs	0.0446832
wrongdoer	0.0446824
"vitamin C"	0.0445602
receptor	0.0442493
dander	0.0441932
painkiller	0.0441556
creatine	0.0440933
"hard drug"	0.0439681
fungus	0.0438067
leakage	0.043664
abuser	0.0436524
preservative	0.0435189
"foot-and-mouth disease"	0.0434804
eventuality	0.043355
"genetic disease"	0.0433188
salmonella	0.0429159
"draft dodger"	0.0428826
imperfection	0.0428775
VX	0.0428415
"chemical compound"	0.0428251
"red blood cell"	0.0427417
cannonball	0.0426658
))
(carcinoma (desc 2234.66) (sims
melanoma	0.214461
myeloma	0.204283
lymphoma	0.16745
"skin cancer"	0.159625
leukemia	0.12717
"lung cancer"	0.104517
CJD	0.0926594
"colon cancer"	0.0910822
anemia	0.0880102
osteoarthritis	0.0879118
"cardiovascular disease"	0.0828608
lupus	0.0804813
Osteoporosis	0.0802271
"sexually transmitted disease"	0.0799747
Parkinson's	0.0777963
"acquired immune deficiency syndrome"	0.0772065
hemophilia	0.0753293
"venereal disease"	0.0750355
"respiratory disease"	0.0746739
diabetes	0.0745734
"multiple sclerosis"	0.0735676
"eye disease"	0.0734571
tumor	0.0728925
tremolite	0.0725434
"heart disease"	0.0720331
"rheumatoid arthritis"	0.0719278
hypertension	0.0709249
"liver disease"	0.0707624
"brain tumor"	0.0693797
rosette	0.0689119
"Parkinson's disease"	0.0688313
dementia	0.0680107
infertility	0.0672457
lesion	0.0667182
deafness	0.0666884
encephalitis	0.0663128
cataract	0.0657874
glaucoma	0.0656935
ulcer	0.0652693
"dengue fever"	0.0644656
"cystic fibrosis"	0.0637568
arrhythmia	0.0634985
autism	0.0631731
STDs	0.0617492
asthma	0.0611448
polyp	0.0605462
hepatitis	0.059841
gallstone	0.0596814
Dengue	0.0582017
"heart failure"	0.057838
"Creutzfeldt-Jakob Disease"	0.0576333
encephalopathy	0.057309
Alzheimer	0.057029
anorexia	0.0567025
"dog bite"	0.0564551
"lead poisoning"	0.0563173
"mental disorder"	0.0562289
rollovers	0.0561926
"manic depression"	0.055406
leprosy	0.0552509
aneurysm	0.0548158
"hepatitis B"	0.0543241
heartburn	0.0530825
"congestive heart failure"	0.0530021
SIDS	0.0526658
abnormality	0.0526589
"Lyme disease"	0.0526154
transplantation	0.0524806
abscess	0.0516338
fibroids	0.0513259
arthritis	0.0510739
Meningitis	0.0509042
pneumonia	0.0507164
inflammation	0.0504201
bronchitis	0.0499828
als	0.0498139
nodule	0.0495399
Psychosis	0.0494196
nearsightedness	0.0492572
cirrhosis	0.0490238
"kidney disease"	0.0490113
"tooth decay"	0.0488243
epilepsy	0.0485541
gonorrhea	0.0481011
typhoid	0.0477546
"blood clot"	0.0468864
cyst	0.0464726
fibrillation	0.0456614
Obesity	0.0455268
"infectious disease"	0.0453727
mutation	0.0452127
relapse	0.0450335
trachoma	0.0449356
"hepatitis A"	0.04473
influenza	0.0446049
hemorrhage	0.044501
atherosclerosis	0.0444578
measles	0.0444417
"cancer death"	0.0443586
ADHD	0.044289
"genetic disease"	0.0438804
botulism	0.0433944
schizophrenia	0.0431529
degeneration	0.0430538
prostate	0.0430524
"personality disorder"	0.0429496
BSE	0.0423999
dryness	0.0418121
impotence	0.0417954
blindness	0.0414147
"high blood pressure"	0.0413717
"cancer cell"	0.0411778
retardation	0.040977
interferon	0.0408408
Hantavirus	0.0406387
"bipolar disorder"	0.0404485
"heat exhaustion"	0.0404055
vasectomy	0.0403664
"heroin addiction"	0.0402391
Stinger	0.0401193
"yellow fever"	0.0400931
secretion	0.0400431
))
(card (desc 155556) (sims
"credit card"	0.163997
certificate	0.123356
ticket	0.117369
Computer	0.117158
passport	0.117031
modem	0.114773
chip	0.113381
document	0.11245
"driver's license"	0.110069
device	0.109401
software	0.106853
stamp	0.104851
box	0.104419
machine	0.103452
"identity card"	0.103243
PC	0.101886
postcard	0.10129
phone	0.100741
check	0.100673
item	0.0994383
letter	0.0987407
"personal computer"	0.0973691
copy	0.0971225
book	0.0964582
CD	0.0961282
paper	0.0959338
printer	0.0952816
brochure	0.0948947
visa	0.0948406
poster	0.093364
coupon	0.0930195
Coin	0.0928939
note	0.0926744
toy	0.0921255
"greeting card"	0.0910984
product	0.0909577
map	0.0908763
license	0.090847
video	0.090726
T-shirt	0.0906867
CD-ROM	0.0904233
processor	0.0903344
camera	0.0903021
permit	0.0901951
"business card"	0.0895484
scanner	0.0891377
gift	0.0888692
equipment	0.0888416
money	0.0885138
envelope	0.0884955
tape	0.0872805
application	0.0872557
picture	0.0870752
page	0.0867607
disk	0.0866133
service	0.0862101
system	0.0860155
"piece of paper"	0.085867
file	0.0857068
sheet	0.0855849
list	0.0852417
microprocessor	0.0849551
sticker	0.0847365
information	0.0836571
tag	0.0836424
email	0.0830855
calendar	0.0822614
photograph	0.0818583
package	0.0818528
cash	0.0817769
material	0.0816139
notebook	0.0816
kit	0.0814724
screen	0.0810778
data	0.0807318
car	0.080538
laptop	0.0802688
"birth certificate"	0.0800149
tool	0.0798426
jewelry	0.0793649
hardware	0.0792141
message	0.0791978
badge	0.0790993
account	0.0790681
bag	0.0788741
technology	0.0788257
model	0.0787987
photo	0.0787977
access	0.0786902
form	0.0785512
ID	0.0781608
server	0.0780072
adapter	0.0779703
merchandise	0.077806
drive	0.0775655
gun	0.0773146
button	0.0767382
program	0.0759652
version	0.0755084
monitor	0.0754394
"operating system"	0.0753552
piece	0.0752329
goods	0.0747594
bill	0.074655
"cellular phone"	0.0745579
cloth	0.074526
record	0.0742228
site	0.0738306
AD	0.0737461
appliance	0.0735326
"disk drive"	0.0734959
Clothing	0.0732563
Mail	0.0731838
doll	0.0730971
wallet	0.072792
Internet	0.0726412
slot	0.0726237
receipt	0.0725994
insurance	0.072192
catalog	0.0720681
flower	0.0718918
password	0.0717285
"memory chip"	0.0715017
booklet	0.0714168
souvenir	0.0712538
loan	0.0710439
fee	0.0710412
label	0.0710312
name	0.0709714
ballot	0.0708702
food	0.0707733
manual	0.0702861
trophy	0.0702715
credit	0.0700993
battery	0.0700986
disc	0.0700066
drug	0.0695665
weapon	0.0694649
bottle	0.0693595
"laptop computer"	0.0692897
keyboard	0.0691934
shoe	0.0691058
memory	0.0690862
player	0.068964
pamphlet	0.0689186
memorabilia	0.0688887
chart	0.0688777
title	0.0688047
game	0.06871
vehicle	0.0686608
customer	0.0685677
resume	0.0685291
painting	0.068524
mortgage	0.0682598
database	0.0680833
graphics	0.067994
display	0.0679494
recorder	0.0678286
gadget	0.0677831
jersey	0.0677625
job	0.0677234
"desktop computer"	0.0677204
flier	0.0675477
telephone	0.0674914
stationery	0.0671331
candle	0.0669851
cassette	0.0669276
invoice	0.0668954
diploma	0.0667389
cigarette	0.0666266
fund	0.0665213
number	0.0664525
cable	0.0664023
object	0.0663293
peripheral	0.0662833
line	0.0662571
shirt	0.0662156
leaflet	0.0661667
network	0.0660501
questionnaire	0.0659402
award	0.0658785
videotape	0.0658685
browser	0.0657148
sign	0.0656775
advertisement	0.0655915
clip	0.0655663
television	0.0653302
signature	0.0653117
option	0.0652565
transaction	0.0652156
ball	0.0651428
code	0.0648957
furniture	0.0647903
berth	0.064765
fax	0.0646447
pen	0.0644095
music	0.0643407
payment	0.0642857
TV	0.0642491
image	0.0640325
))
("card game" (desc 5259.35) (sims
"game of chance"	0.160544
"poker game"	0.133548
blackjack	0.116671
poker	0.114798
"playing card"	0.0869138
Bingo	0.0770919
Scrabble	0.0764287
"roulette wheel"	0.0744163
"slot machine"	0.072758
"card table"	0.0713777
roulette	0.0659088
chess	0.0657386
wager	0.0650523
solitaire	0.0640082
"computer game"	0.0636023
lottery	0.0631234
"flight simulator"	0.0628535
"pinball machine"	0.062287
"board game"	0.0618995
gambling	0.0617747
"extracurricular activity"	0.0596072
"waiting game"	0.0570851
"round of golf"	0.0565376
"hand-held computer"	0.0549759
raffle	0.0540447
"game show"	0.0539782
"baseball league"	0.0539102
trivia	0.0531198
quizzes	0.0530102
"gambling casino"	0.0522666
Pokemon	0.0522145
"numbers game"	0.0513554
Powerball	0.0512983
"chemical compound"	0.0509813
videogames	0.0507918
karaoke	0.0504926
"video game"	0.0493489
"basketball game"	0.0491569
cockfighting	0.0490892
"dance band"	0.0489346
Gaming	0.0489139
"water sport"	0.0488725
"All-Star Games"	0.0488257
roleplaying	0.04805
"trading card"	0.047081
bordello	0.046588
"chess game"	0.0465796
"computer language"	0.0465278
croquet	0.0463928
"ball game"	0.0460958
"Home Run Derby"	0.0459694
riverboats	0.0459105
mano	0.0457985
checker	0.0455868
"parlor game"	0.0453086
"household appliance"	0.045131
"Who Wants to Be a Millionaire"	0.0442869
betting	0.0437996
"rolling pin"	0.0433339
"programming language"	0.0432395
"guessing game"	0.0432367
aperitif	0.0432088
"software product"	0.0430296
domino	0.0428376
watercraft	0.0427729
gabfest	0.0426181
Myst	0.0424463
"software package"	0.0423385
"musical performance"	0.0421246
"Super Bowl XXXIV"	0.0419426
binge	0.0417728
"baseball game"	0.0414669
Vixen	0.0408777
"TV program"	0.0407
Barbies	0.0406959
"TV show"	0.0406348
"two pitchers"	0.0404865
"variety show"	0.0403288
repast	0.0402518
"sex act"	0.0402508
"New Beetle"	0.0402355
"Pro Bowls"	0.0400608
))
("card holder" (desc 2290.31) (sims
cardholders	0.195913
enrollee	0.10117
homebuyers	0.080273
renter	0.0792552
dieters	0.0778697
registrant	0.0772008
Ukrainians	0.0761002
"San Franciscans"	0.0712372
depositor	0.0710055
policyholder	0.0706882
seafarer	0.0685411
taxpayer	0.0685007
diabetic	0.0680954
Beijingers	0.0678382
"home buyer"	0.0670854
Chicagoans	0.0652337
Koreans	0.0649031
"beer drinker"	0.0644904
wage-earner	0.0632657
"married couple"	0.0632304
shoplifter	0.0631296
kindergartners	0.0626353
examinees	0.0625773
adherent	0.0623438
"wage earner"	0.0620857
"New Jerseyans"	0.0619011
"census taker"	0.0617623
homeowner	0.0616313
"job candidate"	0.061411
part-timer	0.0612047
filers	0.0611273
"common shares"	0.0609955
Ecuadoreans	0.0609391
borrower	0.0598976
"British people"	0.0596561
schoolchildren	0.0590789
Washingtonian	0.0586759
Mozambican	0.058048
wrongdoer	0.0571127
Hawaiians	0.0568743
"cash machine"	0.0566425
claimant	0.056327
elector	0.0559749
householder	0.055648
Basques	0.0554659
Californian	0.0552787
"temporary worker"	0.0547398
smoker	0.0547366
Zambian	0.0546486
retiree	0.0546242
sufferer	0.0545803
"Sri Lankans"	0.0544213
holidaymaker	0.054382
"traveler's check"	0.0543069
"senior citizen"	0.0542159
interviewee	0.0540152
earthling	0.0534941
Sebaggala	0.0533857
pensioner	0.0532569
McKenna	0.0528374
snowboarders	0.052578
businesspeople	0.052489
enlistee	0.052404
transistor	0.0523467
ICS	0.0523133
Ugandan	0.0521406
"stamp collector"	0.0519439
sixth-graders	0.0518524
acquirer	0.0515838
illiterate	0.0515692
Floridian	0.0513998
swindler	0.0512323
"Medicare HMOs"	0.0509123
"European Jews"	0.0508727
"currency unit"	0.0507866
Kimbell	0.0507468
laid-offs	0.0504058
Reimer	0.0502342
trainee	0.0501678
job-seekers	0.0496506
probationer	0.0495973
"club member"	0.049401
surfer	0.0491827
caller	0.0490866
"next of kin"	0.0489604
dweller	0.0489323
"little leaguer"	0.0487848
Rolex	0.0487546
"blood donor"	0.0484594
parolee	0.0482728
"drug user"	0.0482136
Kozeny	0.0481676
"viewing audience"	0.0479356
"ordinary shares"	0.0478213
Lewises	0.0475775
filmgoers	0.0474501
Atlantans	0.0473446
Schiffer	0.0471928
iMacs	0.0469236
ECUs	0.0469058
"property owner"	0.0467904
Angelenos	0.0467262
hryvnas	0.0465415
overdraft	0.0464913
feddans	0.0462544
blue-chips	0.0461204
illegals	0.0460379
"New Zealander"	0.0460108
Gilead	0.0459905
franchisees	0.0458677
Bosnians	0.0456753
"Zimbabwe Dollars"	0.0456689
Missourian	0.0455706
"North Carolinian"	0.0454195
adoptees	0.0453056
vacationer	0.0449265
"union member"	0.0449079
"King Letsie III"	0.0448998
Peruvian	0.0448938
goer	0.0448571
Quebecers	0.0448507
"certificate of deposit"	0.0448381
gamers	0.0448012
Liggett	0.044727
"Maturino Resendez"	0.0446708
spammers	0.0446261
PDA	0.0445973
debtor	0.0445485
urbanites	0.0443408
Alaskan	0.0442974
sender	0.0442906
Travelers	0.0442122
sightseer	0.0441716
"job seeker"	0.0441302
Tibetans	0.0440488
"music lover"	0.0439267
Easterner	0.0438901
"farm worker"	0.043687
stockholder	0.0436835
colorist	0.0436246
"East German"	0.0434737
"preferred shares"	0.0434222
refusals	0.0434039
autoworkers	0.0433872
"American Jews"	0.043326
dollars-worth	0.0429263
defaulter	0.0429122
"line of products"	0.0428895
"big leaguer"	0.0428086
wristband	0.0427105
dinar	0.0426567
"line item"	0.042647
bale	0.042625
drinker	0.0425682
"garment worker"	0.0424943
baserunners	0.0424661
"base runner"	0.0423915
reais	0.0422452
"UBS AG"	0.042066
condom	0.042065
bootlegger	0.0420121
"heroin addict"	0.0418885
ECU	0.0418825
lawbreaker	0.0418449
"B share"	0.0417824
Londoner	0.0417246
"married woman"	0.0416786
"Russian Jews"	0.0416684
"divorce lawyer"	0.0415832
Carrera	0.0415258
giver	0.0414143
Chiron	0.0413419
"educational activity"	0.0413137
Cayugas	0.0412975
test-takers	0.0411682
DiCarlo	0.0411002
non-Jew	0.0410948
Arizonan	0.0410337
"work unit"	0.0409979
distiller	0.040962
hough	0.0408692
fourth-graders	0.0408529
outpatient	0.0408341
litigant	0.0407723
"welfare worker"	0.0406555
"Asian Americans"	0.040624
traveller	0.040609
wishing	0.0405763
Menchu	0.0404539
Ohioan	0.0404406
Sang	0.0401776
"South Carolinian"	0.040175
Alarcon	0.0401569
"checking account"	0.0401541
Berliner	0.0400523
attendees	0.0400114
))
("card table" (desc 1660.33) (sims
"writing desk"	0.158266
armoire	0.117186
sideboard	0.113413
blackjack	0.111716
mantelpiece	0.111219
"dining table"	0.109525
armchair	0.103522
"lounge chair"	0.0940432
commode	0.0891292
wainscoting	0.0880247
"love seat"	0.0872437
"side chair"	0.0860827
"coffee table"	0.0846626
paneling	0.0824754
stool	0.0811379
"folding chair"	0.0795509
"wall hanging"	0.0766624
"poker game"	0.0765247
"lawn chair"	0.0737969
bookcase	0.0736452
woodwork	0.0714694
"card game"	0.0713777
gazebo	0.0710195
settee	0.0700167
dresser	0.069747
"sewing machine"	0.0681875
poker	0.0680278
"rocking chair"	0.0675883
"bunk bed"	0.0659341
"bathroom fixture"	0.0642836
"display case"	0.0626224
rug	0.0624854
cot	0.0618531
headboard	0.0611233
sofa	0.0603527
"window frame"	0.0602069
countertops	0.0585283
lectern	0.0585147
"game of chance"	0.0581081
"piece of furniture"	0.0570282
clothesline	0.05682
footbridge	0.0550214
beaker	0.0538917
potty	0.0531959
"engagement ring"	0.0524561
trestle	0.0521757
"walking stick"	0.0520466
"tea set"	0.0520209
balustrade	0.0519775
tablecloth	0.0503992
"Polo Grounds"	0.050363
"round table"	0.0503381
baseboard	0.0501725
ornamentation	0.0501513
jawbone	0.0498531
"picture frame"	0.0496476
carpeting	0.0482662
"detective story"	0.0482556
Tables	0.0478804
stakeout	0.0475995
Sphinx	0.0475643
countertop	0.0462383
"pool table"	0.0461779
drawers	0.0461002
daguerreotype	0.0457667
Santas	0.0450583
molding	0.0449218
girdle	0.044867
metronome	0.0448013
floorboard	0.0447043
lithograph	0.0442576
"flower arrangement"	0.0441608
mantel	0.043941
"summer house"	0.0439192
"Land Rover"	0.0437743
"conference table"	0.0435269
pillowcase	0.0435079
flooring	0.043449
"Good Book"	0.0433455
paperweight	0.0433276
spool	0.0432419
gouache	0.0430978
"scientific instrument"	0.0429746
"oil painting"	0.0427761
lean-to	0.0426265
awning	0.0424603
"bed sheet"	0.0424561
bedspread	0.0420962
"air duct"	0.0418515
Caray	0.0417727
"evening bag"	0.0414201
woodcut	0.0412908
"exercise equipment"	0.0412509
"space heater"	0.0410101
flatware	0.0405772
Picassos	0.0403858
"stage set"	0.0402646
decanter	0.0402006
teapot	0.0401925
urn	0.0400991
utensil	0.0400474
))
(cardamom (desc 2902.08) (sims
allspice	0.380199
coriander	0.350149
nutmeg	0.338577
turmeric	0.326815
cinnamon	0.325727
cumin	0.299505
cayenne	0.292354
"black pepper"	0.280011
clove	0.27566
mace	0.256096
"chili powder"	0.25144
"star anise"	0.2468
"baking powder"	0.243166
"white pepper"	0.228748
oregano	0.226366
ginger	0.221506
peppercorn	0.220316
paprika	0.219034
"curry powder"	0.217148
anise	0.214289
vanilla	0.2136
"coriander seed"	0.212826
"bay leaf"	0.200842
"cayenne pepper"	0.197653
"baking soda"	0.195649
"fennel seed"	0.181191
thyme	0.164056
"mustard seed"	0.162836
pepper	0.161513
"cumin seed"	0.158359
"lemon juice"	0.157385
saffron	0.15715
"lemon zest"	0.154582
salt	0.152298
"brown sugar"	0.150229
Garlic	0.14948
"vanilla extract"	0.146677
"soy sauce"	0.139526
"pepper sauce"	0.138174
"orange peel"	0.135182
"hot pepper"	0.135014
chilies	0.133458
mustard	0.132784
"red pepper"	0.129091
"vanilla bean"	0.123655
"garlic salt"	0.122649
"sesame seed"	0.121688
"orange zest"	0.121164
"almond extract"	0.120816
"Worcestershire sauce"	0.120715
spice	0.119822
"lime juice"	0.118878
cilantro	0.116052
cornmeal	0.115796
raisin	0.114795
fennel	0.112954
lemongrass	0.112271
flake	0.111563
lemon	0.109521
"Tabasco sauce"	0.10883
Basil	0.105748
coconut	0.104941
"poppy seed"	0.104185
"sesame oil"	0.103192
cornstarch	0.10294
"macadamia nut"	0.102342
scallion	0.0974609
parsley	0.0958576
rosemary	0.0956213
licorice	0.0950943
"seasoned salt"	0.0949344
vinegar	0.0943534
onion	0.0938383
chive	0.0932122
jalapeno	0.0927958
"celery seed"	0.0924799
shallot	0.0921207
pecan	0.0915344
molasses	0.0909925
Sage	0.0905083
powder	0.0902543
honey	0.0891718
Tamarind	0.0883857
flour	0.0868952
"tomato paste"	0.0866897
"chili pepper"	0.0857311
peppermint	0.0844264
"Grand Marnier"	0.0833588
"coconut milk"	0.0830512
almond	0.0825673
"beef stock"	0.0819555
ricotta	0.0817844
seasoning	0.0814521
lime	0.0812813
butter	0.0807789
cocoa	0.0806445
paste	0.0801693
"evaporated milk"	0.0801314
curry	0.0772587
"maple syrup"	0.0757598
zest	0.0746675
"lemon peel"	0.074661
"sour cream"	0.0737949
"olive oil"	0.07314
half-and-half	0.072893
crumb	0.0713816
liqueur	0.070851
Chili	0.0707389
marjoram	0.0704977
oat	0.0685588
okra	0.0684354
hazelnut	0.0684069
flavoring	0.0679116
chiles	0.0672373
"orange juice"	0.0664297
"green onion"	0.0659934
Haagen-Dazs	0.065575
"egg yolk"	0.0651324
dill	0.0650851
buttermilk	0.064954
horseradish	0.0632853
"green pepper"	0.0624942
Milkweed	0.0623636
apricot	0.0623624
tahini	0.0618087
pineapple	0.0605891
raspberry	0.0604443
yeast	0.0602849
wasabi	0.0595912
soy	0.0591911
praline	0.0583549
"dried fruit"	0.0582317
"garlic clove"	0.0578943
pimento	0.057407
mayonnaise	0.0571638
"cooking oil"	0.0570182
"bell pepper"	0.0564271
carrot	0.0562745
"tomato sauce"	0.0561376
polenta	0.0560936
walnut	0.0560578
"food coloring"	0.0551609
currant	0.0549624
cashew	0.0531391
cacao	0.0530441
molar	0.0529022
lentil	0.0528813
"milk powder"	0.0526568
"hot sauce"	0.0522504
Parmesan	0.0517285
peach	0.0515795
"cashew nut"	0.0514471
"root beer"	0.0513904
"sweet corn"	0.0513636
spinach	0.0512207
MOCHA	0.0504448
margarine	0.0501065
blueberry	0.0498815
pistachio	0.049431
oatmeal	0.0493925
pear	0.0490634
"wine vinegar"	0.0490561
beet	0.0490173
"peanut butter"	0.0488672
shortening	0.0486642
asparagus	0.0485335
yogurt	0.0484251
radish	0.0483596
ginseng	0.0483292
soda	0.0482922
leek	0.0481165
subsidence	0.0478636
mango	0.0478007
"pine nut"	0.0477643
miso	0.0470324
"vegetable oil"	0.0470117
gelatin	0.0468755
"corn syrup"	0.046244
"sweet potato"	0.0455101
"cream cheese"	0.0450134
pea	0.0443399
cabbage	0.0443277
"green olive"	0.043945
broth	0.0437988
"egg white"	0.0431454
tarragon	0.0430559
Concordes	0.0429811
espresso	0.0428644
celery	0.0423496
Tabasco	0.0422934
"chili sauce"	0.0422781
"bok choy"	0.0416739
eggplant	0.0416685
teaspoon	0.0414268
"barbecue sauce"	0.0412225
tapioca	0.0410139
plum	0.0409437
cranberry	0.0408725
lettuce	0.0408299
"canned food"	0.0407841
))
(cardboard (desc 6938.69) (sims
plastic	0.129673
"wax paper"	0.128453
Plywood	0.118331
aluminum	0.114978
"aluminum foil"	0.109234
plaster	0.106149
"plastic wrap"	0.10587
cheesecloth	0.103066
drywall	0.100825
metal	0.0988775
"tissue paper"	0.0977507
rubber	0.0973809
Concrete	0.0957203
sheeting	0.0940077
resin	0.0907411
bamboo	0.0875187
Tin	0.085278
foil	0.0840461
wallboard	0.0837305
"synthetic fiber"	0.0829201
phyllo	0.0827314
brick	0.0823598
"grocery bag"	0.0811133
Straw	0.0799833
cellophane	0.0799482
mesh	0.0797705
vinyl	0.0797128
linoleum	0.0788816
fiberglass	0.0788342
sawdust	0.0787165
parquet	0.0773721
sheet	0.0772815
parchment	0.0764454
tile	0.0761319
twine	0.0757174
cement	0.0752751
lumber	0.0747706
cloth	0.0742033
foam	0.0737153
steel	0.0731893
cellulose	0.0724929
mulch	0.0723662
napkin	0.0722135
Kleenex	0.0721001
newsprint	0.0717729
"paper bag"	0.0715582
fabric	0.0715261
pulp	0.0709443
"sheet metal"	0.0698626
driftwood	0.0693006
Plexiglas	0.0691087
bedsheets	0.068045
mattress	0.0678774
pillowcase	0.0675652
iron	0.0667267
canvas	0.0665578
ceramic	0.0660916
titanium	0.0660337
tarp	0.0659321
siding	0.0656801
insulation	0.0651892
"steel plate"	0.0651871
towel	0.0647452
hardwood	0.0646381
"sheet of paper"	0.0646239
tarpaulin	0.0638493
wrapper	0.0638445
silk	0.0634694
dough	0.0622701
"toilet paper"	0.0622169
timber	0.0617753
leather	0.0616779
carpet	0.0615965
fiber	0.0614577
cotton	0.0613837
"beer can"	0.0606976
asphalt	0.0606614
excrement	0.0602937
"wrapping paper"	0.0600997
stucco	0.0593749
shingle	0.059334
"stainless steel"	0.0590281
Firewood	0.0587566
"paper towel"	0.0585191
gauze	0.0583349
acrylic	0.0578972
celluloid	0.0578855
chrome	0.0577844
clay	0.0575816
"oil paint"	0.0572725
roofing	0.0567144
handkerchief	0.0565415
Garbage	0.0564956
wax	0.0564812
container	0.0564403
"paper cup"	0.0564257
carpeting	0.0560876
pipe	0.0557328
marble	0.0554268
rag	0.0551019
ingot	0.0549801
Mylar	0.0547872
"piece of paper"	0.0546644
pastry	0.0546057
tablecloth	0.0542165
"Earth's crust"	0.0540813
polymer	0.0540447
"shopping bag"	0.053961
Coal	0.0538628
plank	0.0537423
glue	0.0533873
cutlery	0.0531845
pencil	0.0531747
"palm oil"	0.053101
alloy	0.0530977
flooring	0.0528706
"Swiss cheese"	0.0526124
tortilla	0.0524643
"white line"	0.0523319
plasterboard	0.0522669
carton	0.0522259
silicon	0.0521656
"raw meat"	0.0519994
sheetrock	0.0518507
Pottery	0.051505
molding	0.0514988
"jigsaw puzzle"	0.0514617
tubing	0.0514116
linen	0.0509802
polyethylene	0.0508034
Copper	0.0507885
baguette	0.0507457
stele	0.0506974
wool	0.050652
tableware	0.0506226
detergent	0.0505758
gravel	0.0504841
nylon	0.0502234
matzo	0.0500034
charcoal	0.0499515
scissors	0.0497094
twig	0.0497071
topsoil	0.0496807
"dollar bill"	0.0495572
rug	0.0495215
slab	0.0495178
"coffee cup"	0.0492437
crayon	0.048752
scraps	0.0483981
laminate	0.0483152
envelope	0.048233
jade	0.0481526
wainscoting	0.0480557
shutter	0.0480278
"light bulb"	0.0479836
flesh	0.047865
stationery	0.0477735
"tree branch"	0.0477655
ore	0.0477088
membrane	0.0476272
"sleeping bag"	0.047613
suitcase	0.0475584
eggshell	0.0474899
gruel	0.0474861
yarn	0.0473812
confetti	0.0471155
rubbish	0.0470851
"iron ore"	0.0470104
compost	0.0469713
cedar	0.0465796
sod	0.0464712
enamel	0.0463935
padding	0.0463256
"soda can"	0.0462187
"piece of cloth"	0.0462106
briefcase	0.046149
crate	0.0461187
slag	0.0460992
macaroni	0.0459327
limestone	0.0459101
"plate glass"	0.045857
ribbon	0.0457579
rod	0.0455385
casing	0.0454619
coconut	0.0452325
dirt	0.0452003
debris	0.0451473
sock	0.045069
"slip of paper"	0.0450031
porcelain	0.0449946
rattan	0.0449549
Canopy	0.0448386
mud	0.044825
"bed sheet"	0.0447995
coating	0.0447604
silt	0.0447288
stocking	0.0447115
petrochemical	0.0446325
"cinder block"	0.0446109
cupboard	0.0446095
))
(Cardenas (desc 9058.61) (sims
"Cuauhtemoc Cardenas"	0.170364
Madrazo	0.159518
Labastida	0.125453
Aristide	0.101106
Zedillo	0.100483
Hoffa	0.0989872
Sezer	0.0915044
Carthage	0.0904973
Luzhkov	0.0901862
Rossello	0.0901327
Zyuganov	0.0886588
Rua	0.0885776
Harshbarger	0.0872096
Djukanovic	0.0867416
Berisha	0.086643
Nader	0.0864248
Pastrana	0.0858618
Diouf	0.0853507
Kostunica	0.0847598
Ecevit	0.0838053
Florio	0.0837775
Perot	0.0824976
Macoris	0.0821883
Quayle	0.0815086
Cuomo	0.0813896
Cardoso	0.0808792
"Francisco Labastida"	0.0806899
Keyes	0.0806065
Hagelin	0.0802593
Yavlinsky	0.0800039
Megawati	0.0797889
Bauer	0.0790415
Giuliani	0.0789622
Chavez	0.0789363
Yekaterinburg	0.078725
Buchanan	0.0782924
Haider	0.078177
Daley	0.0778565
Ouattara	0.0771906
Pereira	0.0764421
Rugova	0.0762398
Mugabe	0.0760424
Trimble	0.0760361
Fujimori	0.0757747
Sharpton	0.0757001
Draskovic	0.0755747
Nateq-Nouri	0.075402
"Willie Brown"	0.075217
Ashcroft	0.075049
Estrada	0.0750208
Ammiano	0.0748318
Lafontaine	0.0742401
Aliev	0.0741532
Schroeder	0.0740334
Obasanjo	0.073936
Verney	0.0736249
Noboa	0.0735196
Bradley	0.0734902
Ventura	0.0734298
"San Cristobal"	0.0732386
Aleman	0.0731077
Vallone	0.0729913
Koch-Weser	0.0727688
Bunning	0.0725796
Meciar	0.0725406
"Sam Rainsy"	0.0725363
Katsav	0.0716537
Soong	0.0715219
Mahuad	0.0713465
Kerrey	0.0711593
Carlisle	0.0710729
Pataki	0.0710174
Chen	0.0709755
Obuchi	0.0708938
"Jerry Brown"	0.0708735
Ranariddh	0.0708655
Forbes	0.0707742
Arrington	0.0706299
Mordechai	0.0702906
Bouchard	0.0700769
Habibie	0.0700162
Netanyahu	0.0700128
Stepashin	0.069586
Chappaqua	0.0695522
Poplasen	0.0694533
"Pat Buchanan"	0.0693967
"Alan Keyes"	0.0690523
Mbarara	0.0689998
Ruehe	0.0687034
McCain	0.0686541
Serpa	0.0684155
Corzine	0.0682936
Cubas	0.0682712
Chuan	0.0682098
"Ross Perot"	0.0681969
Supachai	0.0681897
Salinas	0.068073
Rais	0.067986
Chavalit	0.0676851
Arias	0.0676086
Yeltsin	0.067503
Khatami	0.0674494
Lavin	0.0674446
Seselj	0.0673055
Lukashenko	0.0670555
"Democratic Revolution"	0.067007
Mauro	0.0666494
Beazley	0.0664179
Balaguer	0.0663573
"William Hague"	0.0663306
Carollo	0.0659466
"Vicente Fox"	0.0658411
Toledo	0.0655658
Hashimoto	0.0655626
Peres	0.0655103
Wahid	0.0654162
Kandy	0.0653019
Cornyn	0.0653007
Advani	0.0652496
Voinovich	0.0651933
Blatter	0.0651093
Elmira	0.0650864
Sharansky	0.065039
Kohl	0.0648464
Schaeuble	0.0647852
Smitherman	0.0646999
Izmit	0.0646472
Putin	0.0645753
"Barry Goldwater"	0.0645648
Gotti	0.0644483
PRI	0.0643356
Gephardt	0.0638668
"Elizabeth Dole"	0.0637428
DOLE	0.0632972
D'Alema	0.0629523
Cellucci	0.0629339
Elton	0.0627059
Kasich	0.0626168
Rhee	0.0623896
Bouteflika	0.0623747
Menem	0.0623571
Tudjman	0.0623118
Berlusconi	0.0618204
Fong	0.0617991
Izetbegovic	0.0616777
Zhirinovsky	0.0615549
Moscoso	0.0615377
Denktash	0.0615337
D'Amato	0.0615297
"Bharatiya Janata Party"	0.0615103
Plavsic	0.061444
Milutinovic	0.0614027
Moseley-Braun	0.0612091
Lungren	0.0611592
Yadav	0.0610093
Barnes	0.0609835
Nethercutt	0.060964
Hastings	0.0609134
Chand	0.0608316
Engler	0.0608222
Carey	0.0608212
Barak	0.0607557
Vitoria	0.0607269
Gudermes	0.0606813
"National Action"	0.0605984
"Francisco Labastida Ochoa"	0.0605969
Rendell	0.0605816
Weizman	0.0604528
Thaci	0.0604326
Aznar	0.060427
Monson	0.0603158
Khamenei	0.060146
"Gray Davis"	0.0601376
"Yitzhak Mordechai"	0.0600971
Juarez	0.0599889
Lott	0.059981
Montclair	0.0598981
Americus	0.0598413
Primakov	0.0598331
Shahak	0.0597704
Arens	0.0597683
Kaunda	0.0597606
Kajiyama	0.0597398
"Jeb Bush"	0.0596785
Torricelli	0.0595829
Schuessel	0.0595295
"George W. Bush"	0.0594931
Rafsanjani	0.0594522
"Saratoga Springs"	0.0593767
"Ralph Nader"	0.0593207
"John McCain"	0.059215
Vajpayee	0.059186
Oxnard	0.0591354
Bragman	0.0590914
Alexander	0.0590545
Schumer	0.0589529
Chafee	0.0588823
Constantinescu	0.0588672
Carnahan	0.0587916
Salazar	0.0587434
))
(cardholders (desc 1654.81) (sims
"card holder"	0.195913
enrollee	0.13671
examinees	0.111855
registrant	0.108178
homebuyers	0.0995643
"member bank"	0.0933839
policyholder	0.0787776
"stamp collector"	0.0778978
resellers	0.0765172
Beijingers	0.0756551
filers	0.0750729
holidaymaker	0.0749151
"Bank of Japan Ltd."	0.0731009
borrower	0.0720208
leaver	0.071016
dieters	0.0706739
"next of kin"	0.0706036
"wage earner"	0.0700568
"traveler's check"	0.0698462
Ukrainians	0.0690419
"home buyer"	0.0689377
depositor	0.0688721
shipper	0.0687756
"business traveler"	0.0687644
"job seeker"	0.0682836
SMIs	0.0670559
"job candidate"	0.0663863
"blood donor"	0.0659547
"Columbia Records"	0.0658862
"national income"	0.0656653
"skilled worker"	0.0653849
illiterate	0.0650726
overdraft	0.0649545
"union worker"	0.0647956
complainant	0.0647843
issuers	0.0646101
sixth-graders	0.0642479
urbanites	0.0627757
"good Samaritan"	0.062247
eighth-graders	0.0621898
wage-earner	0.0621129
"incentive plan"	0.0611618
"a few million dollars"	0.0611192
"San Franciscans"	0.0610318
surfer	0.0607898
claimant	0.0607631
Trepagnier	0.0605487
eavesdropper	0.059959
Atlantans	0.0589968
"television revenue"	0.0584492
Berliner	0.0583951
franchisees	0.0583705
Ohioan	0.0580015
supplicant	0.0578574
Zambian	0.0575208
"Tanzania Shillings"	0.057516
"Sri Lankans"	0.0573962
enlistee	0.0573348
exerciser	0.0570117
Hawaiians	0.0557454
Quebecers	0.0550952
CPA	0.0549867
adherent	0.0547869
"Kenya Shillings"	0.054561
wrongdoer	0.0536738
"private corporation"	0.0534351
CCE	0.0533284
part-timer	0.0531807
grandkids	0.0531518
fourth-graders	0.0530032
tranche	0.0529047
"beer drinker"	0.0526803
"currency unit"	0.0524065
"market watcher"	0.0523583
"Zimbabwe Dollars"	0.0522997
Sanan	0.052108
"married woman"	0.0519596
"quota system"	0.0518128
"foster mother"	0.0517996
non-Muslims	0.0517644
"consumer loan"	0.051673
elector	0.0515953
Haughey	0.0515474
pensioner	0.0511825
"John Kim"	0.0509834
Webcam	0.0509338
Pitney	0.0507726
renter	0.0506774
"music school"	0.0506734
Basques	0.0506244
petitioner	0.0505985
"Department of Motor Vehicles"	0.0501943
Westendorp	0.0499106
"common shares"	0.0498112
purchaser	0.0497945
"line of products"	0.0497495
"one penny"	0.0495866
Northpoint	0.0495326
earthling	0.049269
preschoolers	0.0492499
assembler	0.0490921
"arms deal"	0.0490514
"union member"	0.0488858
Midwesterners	0.0487311
"people of color"	0.0485831
snowmobilers	0.0485394
adoptees	0.0484499
"medical practitioner"	0.0483521
traveller	0.0483082
gamers	0.0479553
"work unit"	0.047922
schoolchildren	0.0477545
illegals	0.0476611
Dutchmen	0.0476313
exterminator	0.0475309
debtor	0.04747
Gurkha	0.0474584
seafarer	0.0474461
"U.S. Administration"	0.0474206
interviewee	0.0473878
ICS	0.047322
trespasser	0.04725
"True North"	0.0470524
nonprofits	0.0469591
temp	0.0469577
"Alcoholics Anonymous"	0.0469249
theatergoer	0.0467246
"about three-quarters"	0.0466956
"property owner"	0.0466602
Swazi	0.0466242
"telephone booth"	0.0464946
first-timers	0.046474
"Orthodox Christians"	0.0464461
issuer	0.0464317
diabetic	0.0462861
Lari	0.046195
licensee	0.0459646
Sebaggala	0.045958
Chinese-Indonesians	0.0459397
"ordinary shares"	0.0459118
townsfolk	0.0455468
"Better Business Bureau"	0.0454819
"insurance firm"	0.0454748
Polgar	0.0454311
Generali	0.0454041
student-athletes	0.045259
Angelenos	0.0452501
centenarian	0.045191
weekender	0.0450195
"Kenyan Government"	0.0448549
Dems	0.0444791
"three schools"	0.0444502
bettor	0.0443888
"Official Development Assistance"	0.0443864
partygoer	0.044348
"New Zealander"	0.044335
"particle accelerator"	0.0442605
Gores	0.0441045
left-winger	0.044042
clientele	0.0440318
refusals	0.0440184
Ecuadorian	0.0440002
Missourian	0.0439759
metical	0.0439759
"AIDS patient"	0.0438604
Prius	0.0438533
"temporary worker"	0.0438137
woodworker	0.0437624
"Boston Scientific"	0.0436291
Strauss-Kahn	0.0435012
"Uganda Shillings"	0.0434469
signees	0.0434338
"four billion yuan"	0.0434061
beekeeper	0.0433163
"insurance premium"	0.0432583
"Larry Nelson"	0.043206
"tax benefit"	0.043196
spammers	0.0431213
litigant	0.0430962
"credit bureau"	0.0430868
Pula	0.0428947
"core group"	0.0426949
"preferred shares"	0.042678
pluses	0.0426489
Post-Intelligencer	0.0426473
"employment contract"	0.0426145
job-seekers	0.0424607
Christmases	0.0424435
ECUs	0.0424188
non-whites	0.042305
"Southern Democrats"	0.0422974
"commercial enterprise"	0.0421849
"William S. Cohen"	0.0421748
"Cuban Americans"	0.0421418
Astacio	0.0421212
Malay	0.0420633
spud	0.0420529
"service staff"	0.0419815
"married man"	0.0419431
Valhol	0.0419077
))
(Cardiff (desc 5344.19) (sims
Glasgow	0.137083
Asuncion	0.131231
Cologne	0.130449
Strasbourg	0.125474
Florence	0.12409
Salzburg	0.123706
Edinburgh	0.121523
Basle	0.116654
Malmo	0.115981
Copenhagen	0.112418
Antalya	0.112319
Kuching	0.112122
Birmingham	0.111064
Halle	0.110072
PALERMO	0.109869
Windhoek	0.109683
Turin	0.109523
Filderstadt	0.108668
BLANTYRE	0.108027
Linz	0.107784
Helsinki	0.107575
Gaborone	0.107379
Madras	0.10712
Durban	0.107118
Eindhoven	0.106366
Muscat	0.106107
Cartagena	0.106049
Bamako	0.1048
Munich	0.104317
Brisbane	0.10428
Lucerne	0.103655
Reykjavik	0.103245
"CHIANG MAI"	0.103101
Auckland	0.102678
Belfast	0.101719
Riga	0.101319
Stuttgart	0.10127
Almaty	0.101085
Ouagadougou	0.100976
Krasnoyarsk	0.100647
Luxembourg	0.100579
Trondheim	0.0989131
Dushanbe	0.0986141
Gothenburg	0.0981282
"Victoria Falls"	0.0980881
Merida	0.0980856
"St Petersburg"	0.0977599
Doha	0.0976258
Perth	0.0973974
Dublin	0.0972007
"San Sebastian"	0.0969545
Seville	0.0969034
BRATISLAVA	0.0966366
"Mark Williams"	0.0965767
Lyon	0.0965031
MELBOURNE	0.0962079
Charleroi	0.0960867
Osaka	0.095677
Bishkek	0.0943369
Klagenfurt	0.0942049
"Kuala Lumpur"	0.0940378
"Cape Town"	0.0932357
Sapporo	0.0929483
BRUSSELS	0.0928234
Lausanne	0.0924805
Libreville	0.0918834
CARACAS	0.0918731
Tashkent	0.0913433
Amsterdam	0.0912544
Lugano	0.0912429
ZAGREB	0.0911898
Aberdeen	0.0908675
LISBON	0.0908542
Blackpool	0.0907743
Antwerp	0.0905092
Genoa	0.0904986
Adelaide	0.0899455
Manchester	0.0898422
Minsk	0.0896668
Vienna	0.0896048
MANAMA	0.0892733
Accra	0.0890655
Sirte	0.0890332
Bormio	0.0885934
Fukuoka	0.088303
Yogyakarta	0.0881292
Rabat	0.0880351
STOCKHOLM	0.0878803
Vitoria	0.087754
Berlin	0.0866868
Yokohama	0.0866348
Langkawi	0.086392
Maseru	0.08627
Oslo	0.0862236
Londonderry	0.0861224
Nagoya	0.0860952
Zurich	0.0859943
Heerenveen	0.0858256
"Rio de Janeiro"	0.0853252
Toulouse	0.0850213
Surabaya	0.0849796
Hanover	0.0847547
Tripoli	0.0843095
SOFIA	0.0842236
Casablanca	0.0840111
Montpellier	0.0836431
Eastbourne	0.0834358
Ghent	0.0833782
Vilnius	0.083137
Ljubljana	0.0830802
Utrecht	0.0826365
BUCHAREST	0.0826147
Riyadh	0.0821473
"PETALING JAYA"	0.0811162
Lome	0.0810201
HANOI	0.0807537
"San Salvador"	0.0805738
Algiers	0.0804708
Hobart	0.0801191
"Nottingham Forest"	0.0797979
Yaounde	0.0794053
"Egyptian capital"	0.0791915
Monaco	0.0791888
Bologna	0.078993
Yerevan	0.0785634
Santiago	0.0785385
HARARE	0.0784852
"Buenos Aires"	0.0780187
Monterrey	0.0780183
Madrid	0.077935
Arusha	0.0779001
"La Paz"	0.0778889
Abuja	0.07788
Ashkhabad	0.077727
Kyoto	0.0777011
Davos	0.0776677
Istanbul	0.077595
Valencia	0.0775191
"Malaysian capital"	0.0772443
Bremen	0.0770839
Aqaba	0.0770803
Lumbini	0.0769157
Milan	0.0766603
BUDAPEST	0.0760483
"Victoria Park"	0.075715
Hamburg	0.075689
Krakow	0.0755132
Barcelona	0.0752893
"Key Biscayne"	0.0751764
Essen	0.0749754
Newcastle	0.074804
BASEL	0.0748001
Duesseldorf	0.07463
Vladikavkaz	0.0745205
Gelsenkirchen	0.0744516
PYONGYANG	0.0741422
Leipzig	0.0740561
Guadalajara	0.0739583
Chisinau	0.0739333
TUNIS	0.0736632
KIEV	0.073494
Vientiane	0.0733876
Verona	0.0733667
CAIRO	0.073148
Marseille	0.0731064
Rostock	0.0726435
TEGUCIGALPA	0.0725272
Geneva	0.0725104
Nantes	0.0724518
Avignon	0.0723579
Bulawayo	0.0722606
Eilat	0.0722435
"Quebec City"	0.0721973
MAPUTO	0.072152
Karlsruhe	0.0721445
Marseilles	0.0719463
Chiba	0.071729
Bari	0.0715856
Dusseldorf	0.0712641
Kandy	0.0712304
Bloemfontein	0.0709241
Mbabane	0.0708503
Mallorca	0.0708399
"St. Petersburg"	0.0706878
Pusan	0.0703632
Prague	0.0702483
NICOSIA	0.0702318
Pretoria	0.0701633
Kitzbuehel	0.0701069
Leeds	0.0701027
"Bandar Seri Begawan"	0.0700109
Pattaya	0.0698041
Liverpool	0.0697257
Calcutta	0.0697238
Valletta	0.0696349
Portsmouth	0.0694154
Metz	0.069361
Dortmund	0.0693029
JOHANNESBURG	0.0692359
Nago	0.0690582
))
(cardigan (desc 6831.04) (sims
pullover	0.298016
sweater	0.24059
blouse	0.219393
turtleneck	0.214329
camisole	0.206875
"polo shirt"	0.205526
tunic	0.201399
trouser	0.198164
skirt	0.183809
pant	0.171958
"leather jacket"	0.170199
vest	0.169457
jacket	0.168083
sweatshirt	0.167603
Poncho	0.166188
trousers	0.163179
parka	0.160495
scarf	0.158076
slack	0.157678
halter	0.157555
corduroy	0.157548
overcoat	0.153412
waistcoat	0.153113
"hot pants"	0.15204
shirt	0.151977
undershirt	0.151168
"evening gown"	0.150272
beret	0.149726
dress	0.148427
shawl	0.14842
"pants suit"	0.147944
jumpsuit	0.147834
tights	0.14622
windbreaker	0.145545
slacks	0.145502
bluejeans	0.145452
legging	0.145263
"sweat pants"	0.144936
khaki	0.143387
raincoat	0.142813
bustier	0.141999
coat	0.132961
sock	0.131784
miniskirts	0.131473
"dress shirt"	0.129872
sandal	0.129373
"sport shirt"	0.129189
Pantsuits	0.128965
jean	0.128603
"straw hat"	0.12656
T-shirt	0.124129
loafer	0.123427
pantsuit	0.122839
tweed	0.122791
smock	0.122634
sheath	0.122244
bodice	0.121907
blazer	0.120411
nightgown	0.119661
"cowboy hat"	0.118124
miniskirt	0.116373
"sports jacket"	0.116371
"cocktail dress"	0.115692
bellbottoms	0.115653
robe	0.115447
"felt hat"	0.11429
gown	0.114078
fleece	0.11391
turban	0.113845
"bow tie"	0.113499
"tennis shoe"	0.11227
bolero	0.111994
"baseball cap"	0.111586
"evening dress"	0.109052
caftan	0.107596
"blue jean"	0.107515
"bathing suit"	0.10699
sneaker	0.105534
plaid	0.104302
pants	0.104099
bandanna	0.103527
headband	0.102248
"cowboy boot"	0.101822
satin	0.100681
velvet	0.100186
handbag	0.100034
boot	0.0997709
apron	0.0996578
denim	0.0994997
bodysuit	0.0993024
bathrobe	0.0992965
sunglasses	0.0990204
slipper	0.0989074
fedora	0.098441
hat	0.0982298
bikini	0.0977879
capris	0.0976706
pajama	0.0972347
sarong	0.0970228
swimsuit	0.0967992
necktie	0.0964309
suede	0.0958946
loincloth	0.0957951
mitten	0.0954003
shorts	0.0942588
"fur coat"	0.0939846
"hard hat"	0.0938285
panty	0.0932401
Chino	0.093032
taffeta	0.0929869
"business suit"	0.0927176
mohair	0.0923794
suspender	0.0923752
shoe	0.0923734
"trench coat"	0.0917743
flannel	0.0914299
anorak	0.0910907
"evening bag"	0.0894567
bra	0.0894238
"feather boa"	0.0891724
"nail polish"	0.0891273
"combat boot"	0.0891253
Thong	0.0891073
BOA	0.0879567
petticoat	0.0878592
bandana	0.0878254
cashmere	0.0870482
kilt	0.0853473
kimono	0.0848526
corset	0.084598
sleeve	0.0842911
bedspread	0.0839478
tuxedo	0.0817734
stocking	0.0804493
slicker	0.0799551
brassiere	0.079916
chiffon	0.0795271
"running shoe"	0.0793058
underpants	0.0786603
"ball gown"	0.078626
Sash	0.0783535
Sari	0.0780869
"life vest"	0.0779698
pinstripes	0.0778127
underwear	0.0774895
stiletto	0.077318
"wedding dress"	0.0769693
Cape	0.0765337
moccasin	0.0764938
"rubber boot"	0.0757976
coverall	0.0757148
jersey	0.0755211
leotards	0.0752889
lipstick	0.0751819
Outfit	0.0751721
yarmulke	0.0747329
duster	0.0747193
pantyhose	0.0747122
wool	0.074575
spandex	0.0731877
"boxing glove"	0.0724848
tulle	0.0724088
Bonnet	0.0719871
collar	0.0719129
necklace	0.0717672
mule	0.071084
G-string	0.0709973
neckline	0.0706906
Polo	0.0702837
bib	0.0702711
knickers	0.0702704
fabric	0.0694257
sportswear	0.0689784
wig	0.0689325
glove	0.0689235
skullcap	0.0688253
stole	0.0687481
flip-flop	0.0686448
eyeshadow	0.0683102
braid	0.068298
sequin	0.0674352
eyeliner	0.067269
cloak	0.0671571
pigtail	0.0659908
nylon	0.0659635
blanket	0.0652586
ascot	0.0649981
frock	0.0647189
silk	0.0644154
"stiletto heel"	0.0640769
earring	0.0634438
Tutu	0.0634156
leather	0.0632736
"powder blue"	0.0628595
helmet	0.0626277
wristband	0.0623703
choker	0.0623064
embroidery	0.0622448
armband	0.0618105
tress	0.061469
))
(cardinal (desc 71129.4) (sims
Giants	0.249907
brave	0.208224
dodger	0.20299
cub	0.202179
Mets	0.200642
ASTROS	0.200221
Phillies	0.199492
Padre	0.199396
"Red Sox"	0.197556
"White Sox"	0.195419
Orioles	0.19463
diamondback	0.190727
mariner	0.187941
Yankee	0.187445
"St. Louis Cardinals"	0.184727
ranger	0.184002
Redskin	0.181736
BEARS	0.180639
falcon	0.18023
Eagles	0.179253
"blue jay"	0.177169
Seahawks	0.175561
A's	0.174298
cowboy	0.173865
patriot	0.172889
marlin	0.169402
Sox	0.167998
bronco	0.167812
Royals	0.163775
ram	0.161374
bruin	0.160998
"Tampa Bay"	0.159847
packer	0.159291
"New York Mets"	0.159069
angel	0.158932
Viking	0.154954
Bengals	0.150676
"Chicago Cubs"	0.150073
"devil ray"	0.148506
Steelers	0.147081
brewer	0.14689
Expo	0.14666
raider	0.146581
"Arizona Cardinals"	0.146026
"Atlanta Braves"	0.14577
"New York Yankees"	0.145686
"Cleveland Indians"	0.145565
"New York Giants"	0.145535
oiler	0.144894
pirate	0.144567
"St. Louis"	0.144464
"Boston Red Sox"	0.142151
Raven	0.141506
Lakers	0.140845
panther	0.140545
"Los Angeles Dodgers"	0.140534
Trojan	0.139113
charger	0.138734
Rockies	0.138674
Cleveland	0.13861
dolphin	0.138168
wildcat	0.136946
"Houston Astros"	0.13612
tiger	0.135573
Celtics	0.134684
Indian	0.133397
"New York Jets"	0.132399
Oakland	0.1319
"Florida Marlins"	0.131238
colt	0.130487
"Anaheim Angels"	0.130242
Knicks	0.129949
Cincinnati	0.129932
Arizona	0.129234
"Detroit Tigers"	0.128061
"Texas Rangers"	0.127938
"Cincinnati Reds"	0.127867
"Dallas Cowboys"	0.127499
"San Diego Padres"	0.126851
red	0.126656
Saint	0.124674
clipper	0.123977
"Washington Redskins"	0.123782
husky	0.123
"Baltimore Orioles"	0.122875
Longhorn	0.122588
"Miami Dolphins"	0.122002
bulldog	0.121928
BUCCANEER	0.12178
"Colorado Rockies"	0.121535
team	0.121525
"San Francisco @@ers"	0.121262
pacer	0.120998
"Chicago Bears"	0.120791
"Chicago White Sox"	0.11938
Detroit	0.118789
"Minnesota Vikings"	0.118125
"Seattle Mariners"	0.118068
titan	0.117949
"San Francisco Giants"	0.117918
"Arizona Diamondbacks"	0.117671
Pittsburgh	0.117116
"Milwaukee Brewers"	0.117105
"Green Bay"	0.116774
"Los Angeles Lakers"	0.116703
"Toronto Blue Jays"	0.116578
"Indianapolis Colts"	0.116234
USC	0.116054
Minnesota	0.115735
Dallas	0.115444
"Pittsburgh Pirates"	0.115306
Toronto	0.114747
"Denver Broncos"	0.114711
Baltimore	0.114602
ANAHEIM	0.114596
Bucs	0.114417
Sonics	0.114269
"ATLANTA FALCONS"	0.113984
Milwaukee	0.113782
Seattle	0.113419
jet	0.113146
matador	0.112376
"Oakland Athletics"	0.112205
twin	0.112071
"Cleveland Browns"	0.111924
UCLA	0.111581
"San Diego"	0.111507
Seminoles	0.111083
buckeye	0.110651
"St. Louis Rams"	0.110328
"Red Wings"	0.110247
Houston	0.109993
"Montreal Expos"	0.109829
"Green Bay Packers"	0.109319
Denver	0.109028
"Florida State"	0.108834
Atlanta	0.10881
hawk	0.108784
"Minnesota Twins"	0.108155
bull	0.107839
islander	0.10762
MetroStars	0.107572
"New England Patriots"	0.107401
Jaguar	0.107267
"Chicago Bulls"	0.107132
"Philadelphia Phillies"	0.106913
coyote	0.106819
"Kansas City Royals"	0.106508
Aggies	0.106338
Colorado	0.105937
Montreal	0.105917
maverick	0.104621
piston	0.104021
lion	0.103995
"Oakland Raiders"	0.103781
grizzly	0.103408
"Seattle Seahawks"	0.103244
devil	0.102399
sixer	0.102267
Buffalo	0.102088
Miami	0.101887
Canuck	0.101789
Carolina	0.101764
Gators	0.101474
"Ohio State"	0.101453
Tennessee	0.101218
"Kansas City Chiefs"	0.101129
sabre	0.10101
king	0.100448
spur	0.100261
"Buffalo Bills"	0.100173
"Arizona State"	0.0999211
Philadelphia	0.0995356
"Detroit Lions"	0.0993167
"Penn State"	0.0981385
"Golden State Warriors"	0.0980462
"Kansas State"	0.0972698
"Philadelphia Eagles"	0.0972645
Chicago	0.0971813
Boston	0.0971686
Purdue	0.0968039
Cornhusker	0.0967257
"San Diego Chargers"	0.0967121
"Tampa Bay Devil Rays"	0.096701
"San Antonio Spurs"	0.0966906
Raptor	0.0966583
"Kansas City"	0.0963773
Sooners	0.09626
"New York Knicks"	0.0960774
LSU	0.095937
"Michigan State"	0.0953254
flyer	0.0952174
"New Orleans Saints"	0.0950507
"blue devil"	0.0948447
Vols	0.0936644
"Carolina Panthers"	0.0936557
Boilermakers	0.0929707
"Notre Dame"	0.09275
"Los Angeles Clippers"	0.0926971
Edmonton	0.0924279
))
("Cardinal John O'Connor" (desc 5033.12) (sims
O'Connor	0.128194
Nyerere	0.108585
"Desmond Tutu"	0.104998
"King Hassan II"	0.104936
"Michel Camdessus"	0.0990634
"Juan Antonio Samaranch"	0.0987158
"King Hassan"	0.0978358
"Tony Coelho"	0.0974535
"Pope John Paul II"	0.0958568
"Ayatollah Ruhollah Khomeini"	0.0916843
"King Hussein"	0.091478
Havelange	0.0891431
"President Lee Teng-hui"	0.0877168
"Andreas Papandreou"	0.0870996
"Keizo Obuchi"	0.0869296
Sihanouk	0.0856822
"Renato Ruggiero"	0.0843323
"Lawton Chiles"	0.0814894
"Mother Teresa"	0.0810553
Murayama	0.0802802
"John F. Kennedy Jr."	0.0793789
"Abdurrahman Wahid"	0.0776788
Papandreou	0.0773881
"Leon Hess"	0.0771011
Masire	0.0756007
Archbishop	0.0748584
Tudjman	0.0737289
"Amnuay Virawan"	0.0736422
"John Paul"	0.0733558
"Ron Brown"	0.0726999
"Boris Yeltsin"	0.0724857
"Warren Christopher"	0.0724813
"Jordanian King Hussein"	0.0709274
"Jacques Santer"	0.0706526
DiCarlo	0.0705578
"Tomiichi Murayama"	0.0702414
"Dalai Lama"	0.0702199
"Comrade Deng Xiaoping"	0.0701106
Assad	0.0697709
Coverdell	0.0694186
"Dai Bingguo"	0.0694154
Obuchi	0.0689351
Verney	0.0686232
"Deng Xiaoping"	0.0684186
"Ayatollah Khomeini"	0.0681227
"King Fahd"	0.0674485
Chavalit	0.0667939
"Krishna Prasad Bhattarai"	0.0664513
Tutu	0.0664218
"Robert Rubin"	0.0659706
Hussein	0.0656728
"John Paul II"	0.065557
"Than Shwe"	0.0652899
pontiff	0.0651083
"Paul Coverdell"	0.0650666
Deng	0.0648115
"Rolf Ekeus"	0.0644986
Samaranch	0.0643345
"Newt Gingrich"	0.0642707
"Jim Leyland"	0.0642566
Beye	0.0641289
"Joao Havelange"	0.0639586
"Nelson Mandela"	0.0639389
"Sani Abacha"	0.0634435
Moynihan	0.0631719
D'Alema	0.0629249
"Chavalit Yongchaiyudh"	0.0627551
"spiritual leader"	0.0626578
"Wolfgang Schaeuble"	0.0624207
"Ryutaro Hashimoto"	0.0619792
"Xanana Gusmao"	0.0619193
Ruggiero	0.0616154
"Martin Luther King III"	0.0615505
"Dan Morales"	0.0615364
Zhirinovsky	0.0615262
"Joe DiMaggio"	0.0614706
"Li Peng"	0.0612985
"Daniel Patrick Moynihan"	0.0612082
"Wim Duisenberg"	0.0611278
Bhattarai	0.0610402
"General Agreement on Tariffs and Trade"	0.0610288
"John Major"	0.0609053
"Aryeh Deri"	0.0608472
Mandela	0.0606945
"Derrick Thomas"	0.0606442
Yitzhak	0.0605521
Dudayev	0.0604766
"Panchen Lama"	0.059925
"Florence Griffith Joyner"	0.0598053
"Barry Goldwater"	0.0592645
Chevenement	0.0592541
Rodionov	0.0591219
Blackmun	0.0589346
Chuan	0.0588546
Yeltsin	0.0588529
"Bob Bullock"	0.0588239
pope	0.0587704
patriarch	0.0585208
"Hafez Assad"	0.058471
"Helmut Kohl"	0.0583474
Demirel	0.0582728
Velayati	0.0582676
"John Shalikashvili"	0.0582227
Yassin	0.0582056
Hashimoto	0.0581845
"Rick Neuheisel"	0.0580996
Abacha	0.0580253
"Yossi Sarid"	0.057942
"Franjo Tudjman"	0.0579144
Hess	0.0578591
Gowda	0.0578103
"Kim Jong-pil"	0.0577395
Khomeini	0.0575458
Ramos	0.0575101
"Sergei Stepashin"	0.0574735
"Bashkim Fino"	0.057326
"Pete Wilson"	0.0572014
"Pakalitha Mosisili"	0.0570773
"M. Douglas Ivester"	0.0570667
Menem	0.0568719
"Yitzhak Rabin"	0.0568714
"Boutros Boutros-Ghali"	0.0568661
emir	0.0568401
al-Assad	0.0568359
Kabariti	0.05683
"Noboru Takeshita"	0.0565273
"Charles Rangel"	0.056387
Rehnquist	0.0563635
"George Mitchell"	0.0562709
Klestil	0.055843
"Lamberto Dini"	0.0558055
"Carlos Menem"	0.0557286
father-in-law	0.0556826
"Hashim Thaci"	0.0555102
Camdessus	0.0554961
"Pascoal Mocumbi"	0.0554772
"Zell Miller"	0.0554081
"Mikulas Dzurinda"	0.0552277
Banharn	0.0551703
Rafsanjani	0.0551121
"Foday Sankoh"	0.0550991
"Massimo D'Alema"	0.0546919
"Yankee Clipper"	0.054671
Venables	0.0545195
Nebiolo	0.0545054
"King Norodom Sihanouk"	0.054504
"King Sihanouk"	0.054491
Abdel-Meguid	0.0544754
Iger	0.054471
"Payne Stewart"	0.0544612
"Alexander Shokhin"	0.0544212
Rabin	0.0542873
"Ricardo Alarcon"	0.0542468
Vasile	0.0541152
mother-in-law	0.0540185
Cremins	0.0539485
"Sonia Gandhi"	0.0538403
Meciar	0.0536879
Weizman	0.053683
"Mario Cuomo"	0.0536714
Kohl	0.0536462
Borrego	0.0536305
"Queen Elizabeth II"	0.05363
Misuari	0.0536232
Stepashin	0.053345
"Bora Milutinovic"	0.0532113
"Sang Lan"	0.0532071
"Jeff Van Gundy"	0.0531673
Sheik	0.0529731
"Shimon Peres"	0.0528748
"mail carrier"	0.0528357
Schaeuble	0.0528108
"Kim Perrot"	0.0527692
Haskins	0.0527562
Estrada	0.0525978
"Alexander Lebed"	0.0525535
"Chuck Daly"	0.0525323
Safir	0.0525184
deceased	0.052476
"John Sweeney"	0.0523834
"Benazir Bhutto"	0.0522232
Symons	0.0521566
Lukashenko	0.0521457
Hanley	0.0521275
"Charles LaBella"	0.0520931
Protas	0.0520828
Rawabdeh	0.0520232
Bulatovic	0.0520231
Rev	0.0520192
"John Glenn"	0.0520108
Zedillo	0.051993
"James Byrd"	0.0519889
Santer	0.0518359
"Matthew Shepard"	0.0517381
Khamenei	0.0517023
"Mary Robinson"	0.0516764
Shevardnadze	0.0516398
"Faisal Husseini"	0.05161
"Bob Livingston"	0.0515101
Greenwald	0.0514745
))
(cardiologist (desc 11516.4) (sims
neurologist	0.215381
oncologist	0.196661
neurosurgeon	0.195785
internist	0.191804
radiologist	0.188863
surgeon	0.18772
urologist	0.174337
psychiatrist	0.167326
pediatrician	0.164556
endocrinologist	0.152485
epidemiologist	0.14802
physician	0.141816
psychologist	0.141528
anesthesiologist	0.14064
pathologist	0.140597
ophthalmologist	0.139899
dermatologist	0.139508
"plastic surgeon"	0.13867
obstetrician	0.136826
Gastroenterologist	0.128656
researcher	0.12493
Cardiology	0.124286
microbiologist	0.122712
toxicologist	0.119599
nutritionist	0.118926
geneticist	0.118798
sociologist	0.114375
veterinarian	0.112304
Allergist	0.111384
"heart surgeon"	0.110675
"clinical psychologist"	0.109129
specialist	0.108022
"general practitioner"	0.107111
anthropologist	0.106676
doctor	0.106667
paleontologist	0.10435
gynecologist	0.102888
biologist	0.102777
biochemist	0.0983147
"social scientist"	0.0968295
dentist	0.0962621
therapist	0.0949492
"associate professor"	0.0948349
ethicists	0.0923581
dietitian	0.0923255
geologist	0.091553
botanist	0.0898206
musicologist	0.0896174
archaeologist	0.0894681
immunologist	0.0890214
geophysicist	0.0889228
"assistant professor"	0.0888116
"computer scientist"	0.0885907
professor	0.088515
psychoanalyst	0.0885058
"medical specialist"	0.0881381
physicist	0.0874818
Mudge	0.0862631
ethicist	0.0858204
linguist	0.0856023
nurse	0.0846738
scientist	0.083631
historian	0.083244
"physical therapist"	0.0831778
"social worker"	0.0831691
"Lewis Yocum"	0.0824874
neuroscientist	0.0823829
bioethicist	0.0820963
chiropractor	0.0810764
statistician	0.0801791
astronomer	0.0791961
"political scientist"	0.0786178
"school of medicine"	0.0786021
pharmacist	0.0784711
educator	0.0783942
mathematician	0.0783692
lecturer	0.0781995
jurist	0.0777254
psychotherapist	0.0775658
physiologist	0.0769884
paramedic	0.0761605
"family doctor"	0.07589
dermatology	0.075238
"art historian"	0.0751796
archeologist	0.0750793
"registered nurse"	0.0744801
"James Andrews"	0.0744607
consultant	0.0731474
theologian	0.0719225
"legal expert"	0.0713579
psychiatry	0.0711155
"faculty member"	0.070861
pharmacologist	0.070084
Urology	0.0696561
scholar	0.0687971
instructor	0.0680542
orthopedist	0.0680124
astrophysicist	0.0673795
architect	0.0673395
oncology	0.0666347
practitioner	0.0662408
counselor	0.066188
accountant	0.0659896
astrologer	0.0657217
academician	0.0654661
"medical officer"	0.0651808
zoologist	0.06484
coauthor	0.064827
"health professional"	0.0645376
clinician	0.0644409
Attorney	0.0642968
Pediatrics	0.0639636
banker	0.0637163
"financial officer"	0.0637048
"economic expert"	0.0634691
"law student"	0.0633631
chemist	0.0633567
medic	0.0633411
engineer	0.0632425
forecaster	0.0629923
"English professor"	0.062901
technician	0.0628584
"literary agent"	0.0627993
archivist	0.0623582
ecologist	0.0622538
librarian	0.0620927
philosopher	0.0619941
Litigator	0.0614413
"landscape architect"	0.0613079
ornithologist	0.061244
"medical student"	0.0610211
"graduate student"	0.0609063
radiology	0.0608309
"Frank Jobe"	0.0605604
entomologist	0.060404
economist	0.0603313
"management consultant"	0.059907
mountaineer	0.0597842
naturalist	0.0596836
midwife	0.0596488
"certified public accountant"	0.0592904
seismologist	0.0590743
demographer	0.0589222
statesmen	0.0586321
folklorist	0.0584961
rabbi	0.0584915
"investment adviser"	0.0580311
Provost	0.0576645
endocrinology	0.0574782
"electrical engineer"	0.0568077
"school principal"	0.0563052
translator	0.056182
academic	0.0555868
pollster	0.0555822
oceanographer	0.0555632
agronomist	0.0555474
obstetrics	0.0553868
"trial attorney"	0.0553495
restaurateur	0.0552487
"public defender"	0.0550828
"medical school"	0.0550716
"computer expert"	0.0550425
"newspaper editor"	0.055028
herbalist	0.0550167
"department head"	0.0549636
gynecology	0.0544373
vaulter	0.0542949
horticulturist	0.0542592
"trial lawyer"	0.0542114
meteorologist	0.0539599
"business leader"	0.0537871
podiatrist	0.0537078
councilwoman	0.0536749
"computer programmer"	0.0536149
stockbroker	0.0536007
"interior designer"	0.0535869
investigator	0.0535462
supervisor	0.0535395
administrator	0.0535044
"eye doctor"	0.0534122
publicist	0.0533674
counsellor	0.0530325
"ballet dancer"	0.0529831
"civic leader"	0.0528347
theoretician	0.0528261
"military officer"	0.0525401
Immunology	0.0525288
"army officer"	0.052497
designer	0.0524725
criminologist	0.0524025
"civil rights leader"	0.0523144
"civil engineer"	0.0522784
"medical examiner"	0.0522059
sculptor	0.0521806
"medical practitioner"	0.0521685
"air force officer"	0.0520769
newspaperman	0.052036
"divorce lawyer"	0.0520082
chef	0.0519975
poet	0.0519879
))
(Cardiology (desc 4026.63) (sims
dermatology	0.243183
gynecology	0.219906
neurology	0.218284
obstetrics	0.21265
psychiatry	0.212041
"preventive medicine"	0.207454
Pediatrics	0.204453
radiology	0.202964
oncology	0.198118
endocrinology	0.18724
Urology	0.185568
epidemiology	0.185413
"internal medicine"	0.169634
pharmacology	0.158276
ophthalmology	0.152256
geriatrics	0.145267
neuroscience	0.143076
Immunology	0.141112
Toxicology	0.127629
cardiologist	0.124286
Gastroenterologist	0.122222
pathology	0.118827
biophysics	0.115636
microbiology	0.112184
nursing	0.104904
oncologist	0.101414
neurobiology	0.0990852
"infectious disease"	0.0963343
transplantation	0.0961695
endocrinologist	0.0961225
biochemistry	0.0959832
dentistry	0.0958906
astrophysics	0.0881335
genetics	0.0847936
radiologist	0.0847571
"plastic surgery"	0.0824445
psychology	0.0815535
counterterrorism	0.0807509
Allergist	0.08059
"earth science"	0.0798603
"molecular biology"	0.0793551
geophysics	0.0783857
neurosurgeon	0.0770238
"mechanical engineering"	0.0768133
"social science"	0.0756557
"civil engineering"	0.0753736
nutrition	0.0724737
neurologist	0.0716164
zoology	0.0714888
urologist	0.0693924
Lt.-Gen.	0.0693224
"biological science"	0.0684209
criminology	0.0680385
"Public Health"	0.0674913
"environmental science"	0.0672432
immunologist	0.0670174
physiology	0.0667291
"comparative literature"	0.0666887
"political science"	0.0654979
aeronautics	0.0654768
Botany	0.0651359
"associate professor"	0.0649076
diagnostics	0.0643463
forensics	0.064167
paleontology	0.063858
"computer science"	0.0631054
"physical therapy"	0.0628746
seismology	0.0621648
sociology	0.0618666
counterintelligence	0.0617289
"electrical engineering"	0.061288
internist	0.0611974
biology	0.0604973
TCM	0.0601421
"social work"	0.059845
anthropology	0.0584266
"investment banking"	0.0584233
bioengineering	0.0579956
imaging	0.0577638
archaeology	0.057738
"chemical engineering"	0.0575228
inpatient	0.0570921
horticulture	0.0568913
Medtronic	0.0566246
hydrology	0.0551567
linguistics	0.0543865
epidemiologist	0.0543725
"mental health"	0.053918
anesthesia	0.0536394
"life science"	0.0534057
"veterinary medicine"	0.0531993
astronomy	0.0531201
"emergency room"	0.052389
"assistant professor"	0.0521957
archeology	0.0514217
Pharmacy	0.0513857
outpatient	0.0512105
ethicist	0.0506646
mastectomy	0.0501837
"physical education"	0.0501479
oceanography	0.0499954
"communicable disease"	0.0499368
STD	0.04954
"information system"	0.0494175
hospice	0.0490516
obstetrician	0.0490336
"human factor"	0.0481091
chiropractic	0.0479562
pediatrician	0.0479128
"Political Department"	0.0478755
forestry	0.047747
"National Economic Council"	0.0475854
mammography	0.0475584
geology	0.0474575
"history department"	0.0468987
"urban planning"	0.0464553
weight-loss	0.0461102
geneticist	0.045652
"strategic planning"	0.0454007
"fine arts"	0.045311
pathologist	0.0449679
dialysis	0.0445585
meteorology	0.0443496
"interior design"	0.0443275
"computer operation"	0.0443182
"Times Co."	0.0436536
shui	0.0428815
microbiologist	0.0427232
angioplasty	0.0426828
"medical science"	0.0426509
ICA	0.0423057
ten-day	0.042202
"political economy"	0.0420082
Anglo-American	0.0418923
"consumer product"	0.0418009
cryptography	0.0415485
"germ warfare"	0.0413024
"artificial intelligence"	0.0412454
hypertension	0.0412335
maternity	0.0412084
"McKinsey &AMP; Co."	0.0410977
agronomy	0.0407565
anesthesiologist	0.0406181
"Mather Worldwide"	0.0405571
decontamination	0.0405553
Microelectronics	0.0404575
Stratus	0.0403242
dietitian	0.0402834
telemedicine	0.0402741
"Kraft Foods"	0.040121
orthopedist	0.0400324
))
("cardiovascular disease" (desc 6306.73) (sims
"heart disease"	0.379924
Osteoporosis	0.301101
diabetes	0.275651
"high blood pressure"	0.273874
"lung cancer"	0.272319
"congestive heart failure"	0.270997
"heart failure"	0.268847
hypertension	0.259787
asthma	0.251128
leukemia	0.24731
"colon cancer"	0.244834
"Parkinson's disease"	0.239535
epilepsy	0.239268
"liver disease"	0.235816
emphysema	0.232407
"multiple sclerosis"	0.22965
cirrhosis	0.222533
glaucoma	0.220999
"rheumatoid arthritis"	0.219092
dementia	0.216154
"heart attack"	0.215509
melanoma	0.211562
Alzheimer	0.210919
lupus	0.208973
"skin cancer"	0.208909
"kidney disease"	0.207626
arthritis	0.206658
atherosclerosis	0.203267
Parkinson's	0.200024
"respiratory disease"	0.195832
"cystic fibrosis"	0.190289
ulcer	0.189884
cancer	0.189346
hemophilia	0.187084
Obesity	0.185585
angina	0.182789
tuberculosis	0.18029
infertility	0.179684
schizophrenia	0.178605
SIDS	0.178356
cataract	0.177749
anemia	0.175726
hepatitis	0.174475
Alcoholism	0.174367
pneumonia	0.174231
bronchitis	0.173067
"infectious disease"	0.171355
lymphoma	0.170643
ailment	0.169861
syndrome	0.16591
osteoarthritis	0.165118
"blood clot"	0.165086
"brain tumor"	0.164318
malaria	0.164072
disease	0.158773
infection	0.157843
"mental disorder"	0.156595
"eye disease"	0.155758
"heart condition"	0.151843
disorder	0.149401
"muscular dystrophy"	0.149365
stroke	0.146132
migraine	0.144356
dehydration	0.143255
illness	0.143215
autism	0.142735
allergy	0.141412
"sexually transmitted disease"	0.14084
malnutrition	0.138926
blindness	0.138166
Tb	0.137933
myeloma	0.136904
Meningitis	0.136625
diarrhea	0.136206
"manic depression"	0.135572
"Lyme disease"	0.135401
dysfunction	0.135098
HIV	0.133903
"drug addiction"	0.132355
als	0.131368
hypothermia	0.131089
"mental illness"	0.130481
"heat exhaustion"	0.130248
retardation	0.129959
CJD	0.1296
gangrene	0.128183
miscarriage	0.12772
Depression	0.126957
overdose	0.126638
"acquired immune deficiency syndrome"	0.12644
tumor	0.12274
impotence	0.122364
"skin disease"	0.119831
"lead poisoning"	0.119815
"hepatitis B"	0.119427
"malignant tumor"	0.118284
"personality disorder"	0.118091
defect	0.11799
"alcohol abuse"	0.117744
rotavirus	0.117272
"health problem"	0.117201
complication	0.115407
hemorrhage	0.114433
aneurysm	0.114262
"asthma attack"	0.114248
"substance abuse"	0.113056
cholera	0.112955
cholesterol	0.112472
sickness	0.111702
relapse	0.111569
recidivism	0.111473
"genetic disease"	0.110711
"venereal disease"	0.110523
"common cold"	0.110425
gonorrhea	0.109981
"food poisoning"	0.109904
influenza	0.109831
gastroenteritis	0.109362
leprosy	0.10888
gallstone	0.10885
prostate	0.108452
"back pain"	0.10762
"memory loss"	0.105666
insomnia	0.105166
encephalitis	0.104701
"tooth decay"	0.104579
smoking	0.10439
deformity	0.103939
trachoma	0.102914
"dengue fever"	0.102401
STDs	0.102315
measles	0.102291
poisoning	0.102022
deafness	0.101889
abnormality	0.100952
incontinence	0.100723
"kidney stone"	0.100604
"cerebral palsy"	0.100429
dyslexia	0.0988737
syphilis	0.0988688
Addiction	0.0987483
diarrhoea	0.098629
"communicable disease"	0.0974196
heartburn	0.0970031
"anxiety disorder"	0.0967618
"juvenile delinquency"	0.0956779
recurrence	0.0952004
"neurological disease"	0.0947576
symptom	0.0941216
"heroin addiction"	0.0939722
inhalation	0.093669
narcolepsy	0.0936393
polyp	0.0934771
impairment	0.0934758
disability	0.0929214
aids	0.0928709
"cancer death"	0.0924185
Dysentery	0.0923194
psoriasis	0.0911705
flu	0.0910265
vasectomy	0.0908481
"chest pain"	0.0898165
fracture	0.0898123
"drug abuse"	0.0897399
fever	0.0894695
suffocation	0.0891579
HIV/AIDS	0.0891216
starvation	0.088148
arrhythmia	0.0880032
"neurological disorder"	0.0865169
paralysis	0.0856941
apnea	0.0853387
pregnancy	0.0849427
hernia	0.0848805
"acid rain"	0.0841098
overwork	0.0834019
encephalopathy	0.0833149
carcinoma	0.0828608
malady	0.0828298
ADHD	0.082615
seizure	0.0819082
heartbeat	0.0811457
sunburn	0.0811019
gout	0.0809803
nearsightedness	0.0803599
frostbite	0.0800364
"AIDS virus"	0.0799129
fibrillation	0.0799054
"bipolar disorder"	0.0798297
degeneration	0.0798297
trauma	0.0796951
virus	0.0796741
jaundice	0.0794437
inflammation	0.079413
colon	0.0792217
"risk factor"	0.0791433
acne	0.0787595
epidemic	0.078554
kidney	0.0782805
Rabies	0.0780337
))
(Cardoso (desc 9109.96) (sims
Frei	0.186453
Menem	0.183957
Fujimori	0.177857
Zedillo	0.153914
Pastrana	0.152526
Kuchma	0.151986
Schroeder	0.151796
Hashimoto	0.149014
Chuan	0.148003
Samper	0.145482
D'Alema	0.143645
Chavalit	0.141682
Chavez	0.141506
Estrada	0.141461
Mahuad	0.139204
Obasanjo	0.138846
Constantinescu	0.137179
Nazarbayev	0.136724
Obuchi	0.134814
Nujoma	0.134769
Banharn	0.133791
Chissano	0.132895
Putin	0.132479
Lukashenko	0.131927
Museveni	0.131083
Khatami	0.13078
Hariri	0.130774
Plavsic	0.129389
Akayev	0.128889
Yeltsin	0.1286
Kumaratunga	0.128258
Wahid	0.12819
Rossello	0.127894
Rua	0.127446
Hasina	0.126925
Aznar	0.12686
Koirala	0.12685
Simitis	0.126456
Chretien	0.126216
Prodi	0.124816
Kohl	0.124181
Tudjman	0.123935
Chirac	0.123312
Rafsanjani	0.123127
Jospin	0.122806
Deuba	0.122412
Demirel	0.12058
Mugabe	0.120249
Kok	0.120245
Bondevik	0.118957
Chiluba	0.118854
Blair	0.118565
Bouteflika	0.117904
Diouf	0.11729
Ruehe	0.117148
Mkapa	0.117068
Aleman	0.116761
Mandela	0.116557
Wolfensohn	0.115502
Mori	0.115418
Ecevit	0.114677
Mbeki	0.114247
Primakov	0.113922
Berisha	0.113502
Zeroual	0.113221
Guterres	0.112906
Moi	0.111804
Ghali	0.111585
Shevardnadze	0.111257
Barak	0.111166
"de Charette"	0.110791
Meciar	0.110114
Hrawi	0.109901
Habibie	0.109738
Vajpayee	0.109526
Axworthy	0.109259
Kiriyenko	0.109236
Djukanovic	0.109156
Kostunica	0.109056
Mahathir	0.108763
Bouchard	0.10823
Daley	0.108188
Scalfaro	0.107954
Moratinos	0.106977
Bedie	0.10685
Ahern	0.106573
Murayama	0.106401
Rawlings	0.106007
Muluzi	0.105825
Netanyahu	0.105625
Stoyanov	0.10555
"John Howard"	0.105516
Sharif	0.105411
Weizman	0.105263
Goh	0.10483
Moscoso	0.104275
Ramos	0.104093
Clerides	0.103824
Kabariti	0.103303
Hoffa	0.103296
Aristide	0.103162
Trimble	0.103065
Rifkind	0.103061
Klestil	0.102922
Cem	0.10288
Tung	0.102823
Boutros-Ghali	0.10273
Berlusconi	0.102657
Pataki	0.102377
Juppe	0.101911
Madrazo	0.101116
Buyoya	0.101062
Peres	0.100954
Yilmaz	0.100792
Lipponen	0.100625
Banzer	0.100602
"Ryutaro Hashimoto"	0.100559
Abubakar	0.10051
Vasile	0.100175
"Chuan Leekpai"	0.100107
"Keizo Obuchi"	0.100003
Maskhadov	0.0994874
"Chief Executive Tung Chee-hwa"	0.0994842
Supachai	0.099358
Lahoud	0.0992585
Chen	0.099231
Santer	0.0988002
Dini	0.097496
Rakhmonov	0.0972943
"Perez Balladares"	0.0967479
Stepashin	0.0961917
Aliev	0.0955569
Siegelman	0.0955207
Noboa	0.0954969
Narayanan	0.0952978
"Chavalit Yongchaiyudh"	0.0952754
Kim	0.095084
Mubarak	0.0950636
Shipley	0.0949335
"Fernando Henrique Cardoso"	0.0948269
Karimov	0.0947188
"Dos Santos"	0.0943495
Chubais	0.094319
Sampaio	0.0942766
"Yoshiro Mori"	0.0942699
Vieira	0.0942354
Eyadema	0.0941109
Dehaene	0.0938388
Lebed	0.0938099
Orban	0.0933335
Katsav	0.0932991
Luong	0.0928305
Samaranch	0.0922012
Kabila	0.0920857
Phieu	0.0919538
Patasse	0.0919476
Kharrazi	0.0919438
Izetbegovic	0.0918721
Ikeda	0.0917462
Alatas	0.0916133
Nateq-Nouri	0.091353
Azad	0.0912621
Kasyanov	0.0912429
"Atal Bihari Vajpayee"	0.090813
Kostov	0.0907708
Mordechai	0.0907116
Bhutto	0.0906014
Meles	0.0903968
Rabbani	0.0901869
Rugova	0.0901854
Zou	0.0901577
Pustovoitenko	0.0901237
Giuliani	0.0900672
Abdel-Meguid	0.0900616
Schumer	0.0900195
Bongo	0.0898792
Kasoulides	0.0898718
Caldera	0.0898426
Abacha	0.0891877
Chernomyrdin	0.0891237
"Hun Sen"	0.0890595
"Jose Maria Aznar"	0.0889694
Feinstein	0.0889645
"Goran Persson"	0.0889226
Erbakan	0.0888401
Chancellor	0.0886019
Fischer	0.0886005
"Romano Prodi"	0.0885668
"Lionel Jospin"	0.088323
Klima	0.0882925
Amato	0.0882162
Kwasniewski	0.0880323
Blatter	0.0879804
Zhu	0.0878351
Aquino	0.0876805
Gowda	0.0875981
Nzo	0.0874337
Pangalos	0.0872953
Megawati	0.0872696
Jayakumar	0.0872088
))
(care (desc 118517) (sims
"health care"	0.205023
"medical care"	0.203997
treatment	0.173509
"health insurance"	0.153594
education	0.151939
"child care"	0.14851
counseling	0.138154
service	0.127028
"day care"	0.126858
therapy	0.12187
coverage	0.121617
protection	0.121209
"health service"	0.120131
health	0.117952
medication	0.11786
training	0.116924
Housing	0.116032
"prescription drug"	0.115958
"nursing care"	0.115058
benefit	0.114203
medicine	0.11115
"social service"	0.110007
program	0.109357
insurance	0.108304
rehabilitation	0.106147
assistance	0.105938
help	0.104006
schooling	0.102464
nutrition	0.101912
access	0.100489
"mental health"	0.098674
custody	0.0980675
drug	0.0979827
maintenance	0.0978231
management	0.0976437
welfare	0.0965798
safety	0.0955086
prevention	0.0954621
research	0.095336
testing	0.0949488
clinic	0.093531
aid	0.0929831
employment	0.0916274
system	0.0914999
funding	0.0911539
medicare	0.0907156
relief	0.0905198
patient	0.0901558
security	0.0901186
"nursing home"	0.0899358
hospital	0.0895685
shelter	0.0892416
healthcare	0.0892238
transportation	0.0891034
pension	0.0886429
food	0.0884564
facility	0.0881516
surgery	0.0881018
Medicaid	0.0879062
"family planning"	0.0877143
supervision	0.0869676
advice	0.0868966
condition	0.0868786
quality	0.0867007
HMO	0.0866035
procedure	0.0863157
support	0.0862466
immunization	0.086022
abortion	0.0853754
hospitalization	0.0852677
use	0.0851393
technology	0.0843203
development	0.0842077
Privacy	0.0839088
work	0.0838619
environment	0.0837794
school	0.0834886
job	0.0834823
medical	0.0832354
vaccination	0.0832241
need	0.0831734
accommodation	0.0831495
"social security"	0.0828604
discipline	0.0826479
payment	0.0824685
"education program"	0.0819992
control	0.081993
compensation	0.0818081
life	0.0816806
childcare	0.0816047
attention	0.0812537
conservation	0.0811801
hygiene	0.0807923
repair	0.0806677
transplant	0.0802307
financing	0.0801146
activity	0.0799087
sanitation	0.0798694
infrastructure	0.0798413
screening	0.0798056
fund	0.0793447
enforcement	0.0791918
operation	0.0790932
well-being	0.0787639
subsidy	0.0787528
"quality of life"	0.0787255
Tuition	0.0787166
prescription	0.0785186
supply	0.0784632
"higher education"	0.07827
reform	0.078258
policy	0.0780142
distribution	0.0773758
"customer service"	0.0773743
skill	0.0769288
money	0.0766335
planning	0.0764815
compassion	0.0764075
tutoring	0.0763587
cost	0.0761943
doctor	0.0761808
Vaccine	0.076148
expense	0.0760465
checkup	0.0760321
business	0.075879
project	0.0756666
information	0.0755514
improvement	0.0752755
"public school"	0.0752365
behavior	0.0750007
resource	0.0749122
travel	0.0748643
communication	0.0748572
illness	0.0746615
guidance	0.074494
child	0.0742486
"vocational training"	0.0738456
respect	0.0738224
diagnosis	0.0736396
trust	0.0736271
surveillance	0.0734336
accountability	0.0732492
"physical therapy"	0.0730282
knowledge	0.0723075
nursing	0.0722647
responsibility	0.0721981
freedom	0.0721703
restraint	0.072081
preservation	0.0720373
problem	0.0717929
plan	0.0717817
oversight	0.071739
finance	0.0716783
wage	0.0715484
programming	0.0712874
effort	0.0712603
equipment	0.0710676
risk	0.0710063
labor	0.0709355
technique	0.070881
study	0.0705641
standard	0.0704473
family	0.0702996
"law enforcement"	0.0702463
"special education"	0.0702329
marketing	0.0702228
poverty	0.0700698
construction	0.0699605
storage	0.0698885
product	0.069783
meal	0.0697037
intelligence	0.0696776
Promotion	0.069495
love	0.0694197
antibiotic	0.0693585
spending	0.0692943
Advertising	0.0692427
energy	0.069216
pain	0.0691975
evaluation	0.0689943
agriculture	0.0687287
nurse	0.0686627
"social welfare"	0.0685279
"public service"	0.0684924
practice	0.0684608
preparation	0.0684272
examination	0.0683618
process	0.0683422
efficiency	0.0683309
credit	0.0681088
chemotherapy	0.0680698
"tax cut"	0.06799
teaching	0.0679658
action	0.0679333
investment	0.0679323
tax	0.0679071
remedy	0.0678512
awareness	0.067833
contraceptive	0.0676932
"life insurance"	0.0675371
))
(career (desc 251799) (sims
season	0.164594
life	0.160581
game	0.144683
stint	0.139793
tenure	0.136533
job	0.135801
history	0.115007
experience	0.113675
series	0.112385
work	0.106334
success	0.10629
playoff	0.103655
reputation	0.102645
championship	0.101528
debut	0.100607
role	0.0994758
victory	0.097805
future	0.0969881
record	0.0967392
performance	0.0951995
appearance	0.0932431
contract	0.0930782
comeback	0.0919078
postseason	0.0903528
tournament	0.0897342
team	0.0890876
relationship	0.0887223
race	0.0882667
streak	0.0879606
era	0.0879251
event	0.0877285
football	0.0872135
sport	0.0866853
accomplishment	0.0863933
year	0.0863624
title	0.0860018
talent	0.0858343
campaign	0.0853464
lifetime	0.0842604
start	0.0836306
skill	0.0834998
baseball	0.0827937
business	0.0823124
achievement	0.0822079
coaching	0.0817166
past	0.0813639
player	0.0810043
politics	0.0809988
play	0.0805374
process	0.0805373
franchise	0.080259
marriage	0.0801815
inning	0.0799633
one	0.0799253
profession	0.0798185
fame	0.078724
run	0.0784827
preseason	0.0777887
presidency	0.0775254
background	0.0775195
time	0.0773182
thing	0.0772197
deal	0.0771792
show	0.0768606
coach	0.0766853
match	0.076409
century	0.0762702
league	0.0762615
competition	0.0760178
four	0.0759828
"World Series"	0.0758703
Three	0.0757258
win	0.0757025
retirement	0.0756309
basketball	0.0755683
program	0.0753736
"major league"	0.0751509
reign	0.075053
stardom	0.0748665
trip	0.0748482
round	0.0743605
film	0.0741336
position	0.0738418
at-bat	0.0737033
training	0.0736929
majors	0.0734976
legacy	0.0732415
outing	0.0730953
story	0.0730748
NFL	0.0728528
course	0.0726012
practice	0.0725925
economy	0.0725221
image	0.072487
rookie	0.0724601
effort	0.0724554
"spring training"	0.0718729
star	0.0718236
final	0.0716751
two	0.0714105
struggle	0.0713484
chance	0.0712777
Fortune	0.0711975
style	0.0710828
loss	0.0710485
world	0.0710189
term	0.0708546
"World Cup"	0.0706168
movie	0.0704801
education	0.0704336
period	0.070147
trial	0.0701317
"Game @"	0.0700843
College	0.0698997
"big league"	0.0698729
tour	0.0698502
opportunity	0.0696367
"Super Bowl"	0.069575
development	0.0695102
schedule	0.0694926
music	0.0693763
culture	0.0691348
situation	0.0689677
character	0.0689547
dream	0.0688536
ability	0.0686367
NBA	0.0685714
journey	0.0684995
decade	0.0683985
last	0.068377
art	0.0683742
class	0.0683122
offense	0.0679724
case	0.0679063
"playoff game"	0.0678976
status	0.0677139
"home run"	0.0676533
day	0.0670346
goal	0.0669811
playing	0.066973
all	0.0669224
golf	0.0668273
war	0.0668173
assistant	0.0667912
fight	0.0667117
tradition	0.0665679
name	0.0662959
industry	0.065978
interest	0.0659333
existence	0.0658472
family	0.0657413
that	0.0656824
place	0.0655733
change	0.0655529
this	0.0655174
personality	0.0650974
first	0.0650916
opener	0.0649736
summer	0.0648975
debate	0.0648215
assignment	0.0647388
Racing	0.0645539
book	0.0643449
operation	0.0643056
greatness	0.0640816
"second half"	0.0640445
span	0.0639088
reform	0.0638981
resume	0.0638885
growth	0.0638486
contest	0.0638287
workout	0.0636914
duty	0.0636634
Olympics	0.0636302
activity	0.0636066
woman	0.0636062
it	0.0634929
moment	0.0633312
session	0.0632005
Six	0.0631856
battle	0.0631636
trade	0.063133
health	0.0631235
his	0.0630774
"winning streak"	0.0630365
popularity	0.0629783
project	0.0629752
service	0.0629734
seven	0.0629718
negotiation	0.0629183
recovery	0.0627094
credibility	0.0626552
excellence	0.0626288
hockey	0.062402
standing	0.0622523
lineup	0.0621024
rivalry	0.0620997
quarterback	0.0618549
teammate	0.0617493
tennis	0.0617211
))
(career-best (desc 1650.79) (sims
career-high	0.297875
season-high	0.242569
team-high	0.237227
"more than @,@@@ yards"	0.207363
"more than @@@ yards"	0.193042
game-high	0.164208
career-highs	0.105443
O'Neal's	0.0948017
TDs	0.0939249
triple-double	0.079297
double-double	0.0778773
game-winning	0.0751509
TD	0.0748313
game-tying	0.0728832
"more than @@ yards"	0.0707666
"first eight"	0.0693384
"more than six"	0.067806
"chip shot"	0.0649088
"two pitchers"	0.0613275
Burks	0.0606712
"over @@ points"	0.0606484
"first points"	0.0601863
clocking	0.0594079
Gimme	0.0578098
"first five"	0.0574647
"pass catcher"	0.057364
three-point	0.0567128
"first basket"	0.0561268
O'Leary's	0.0560157
"fellow worker"	0.0551995
three-pointer	0.0548921
p/e	0.0547017
"nearly @@ points"	0.0545676
UAB	0.0537544
hole-in-one	0.0530228
"more than five"	0.0529821
airball	0.0526567
"one homer"	0.0525313
"first @@@"	0.0521467
Blown	0.0520962
"Adam Vinatieri"	0.0515676
"first four"	0.0511301
"three cents"	0.0506016
"first match point"	0.0503784
"more than @@ points"	0.0503112
"boarding pass"	0.0502723
IQ	0.0502317
putback	0.0499639
"More than nine"	0.0499588
"second tour"	0.0498657
"two baskets"	0.0498299
"four sacks"	0.0494022
"blood type"	0.0492936
"second best"	0.0486467
"six homers"	0.047872
"Cy Young"	0.0478375
Hendrickson	0.0476621
shoelace	0.0473513
tete-a-tete	0.0470834
baserunner	0.0468185
"first @@"	0.0467692
"about @@ points"	0.0465419
Huskers	0.0464577
co-leader	0.0464345
housemate	0.0463426
Furcal	0.0460265
"Senior PGA Tour"	0.0459087
"seating capacity"	0.0458701
"won nine"	0.0457637
"over six"	0.0456943
"Christine Arron"	0.045151
dyslexia	0.0443294
third-round	0.0442499
feistiness	0.0441997
retinue	0.0438706
zinger	0.0437195
"Morten Andersen"	0.0436866
"Shaquille O'Neal's"	0.0436746
Slovenian	0.0432961
"price list"	0.0430794
consort	0.042974
prosthesis	0.042876
fief	0.0424203
go-round	0.0423718
twenty-six	0.0423146
"less than @@@"	0.0422319
tip-in	0.0422073
"Peter Bondra"	0.0420977
"Carlos Hermosillo"	0.0420309
"full term"	0.0419624
housemates	0.0416892
"grade point average"	0.0416821
"service break"	0.0415421
"Hao Haidong"	0.04151
pallor	0.0414109
"first six"	0.0411927
"three sacks"	0.041091
"stage name"	0.0410241
"first point"	0.0407741
Montalvo	0.0407649
pug	0.0407332
"won @"	0.0406988
Aprilia	0.0404394
"trump card"	0.0401355
two-point	0.0400913
))
(career-high (desc 6882.73) (sims
career-best	0.297875
season-high	0.265093
team-high	0.222371
"more than @,@@@ yards"	0.218791
career-highs	0.217424
"more than @@@ yards"	0.193287
game-high	0.178764
triple-double	0.110568
double-double	0.110201
"seven homers"	0.0972819
"five homers"	0.0859164
TDs	0.0852138
touchdown	0.0843019
"batting average"	0.0796803
"four homers"	0.0742428
"six homers"	0.0728364
"four sacks"	0.0725935
"nine homers"	0.0708584
"fifth homer"	0.0675139
"eight homers"	0.0665583
strikeout	0.0651759
"third homer"	0.0648309
"nine yards"	0.063326
"first points"	0.0630426
"nine points"	0.061806
"six points"	0.0610582
"one homer"	0.0609677
"three sacks"	0.0607283
game-winner	0.0606958
RBI	0.0605296
yardage	0.060339
TD	0.059942
"more than six"	0.0596701
GAA	0.0596555
"won nine"	0.0588636
"five points"	0.0587148
"seventh homer"	0.0577879
"eighth homer"	0.057606
"eight points"	0.0570462
"two homers"	0.0569725
putback	0.0564396
"two pitchers"	0.0562907
layup	0.0551843
Burks	0.055045
interception	0.0549749
"seven points"	0.0545047
"two points"	0.0543467
shutout	0.0542386
"second best"	0.0527576
"field goal"	0.0520161
dunk	0.0519667
"nearly @@ points"	0.0516259
"foul shot"	0.0513804
rushing	0.0512739
"won @@"	0.0511424
second-most	0.0504127
"four points"	0.049077
co-leader	0.0489447
"two sacks"	0.0486495
"another @-pointer"	0.0469133
downs	0.046813
Vidro	0.0465093
"one sack"	0.0464219
three-pointer	0.0461045
"first seven"	0.0458108
"three points"	0.0456856
"more than @@ yards"	0.0455982
"road game"	0.0451998
"sixth homer"	0.0448955
"another @@"	0.0441704
O'Neal's	0.0439248
top-@@	0.0434745
Abreu	0.0433723
"extra points"	0.0432285
"first homer"	0.0430714
Hendrickson	0.0429827
NL	0.0429546
"more than @@ points"	0.0429346
"three homers"	0.041948
Baerga	0.041612
"foster mother"	0.0416021
"over @@ points"	0.0415083
"winning streak"	0.0413685
TKO	0.0411295
ppg	0.0410095
"first five"	0.0409417
"most valuable player"	0.040921
"first point"	0.0408061
"perfect game"	0.0405688
"second tour"	0.0404992
Coulthard	0.0401
"free throw"	0.0400595
Lankford	0.040047
))
(career-highs (desc 1286.96) (sims
career-high	0.217424
double-double	0.168471
triple-double	0.147433
season-high	0.133097
career-best	0.105443
"two baskets"	0.0791089
"more than @@ yards"	0.0774324
"one homer"	0.0716242
"more than @,@@@ yards"	0.0708104
co-leader	0.0705936
"nearly @@ points"	0.0661896
"more than six"	0.0644951
team-high	0.0634965
"more than @@@ yards"	0.0632446
"four sacks"	0.0631217
third-highest	0.0569998
top-@@	0.055423
GAA	0.055077
TDs	0.052736
"one sack"	0.0519992
"more than @@ points"	0.0519713
"eight points"	0.0519172
"over @@ points"	0.0517145
"six points"	0.0503972
"eight homers"	0.0500294
receipts	0.0495602
"more than four"	0.0486302
"six homers"	0.0483988
"three sacks"	0.0483049
"nine points"	0.0462103
quarterfinalists	0.0458163
"honorable mention"	0.0454757
"nine homers"	0.0443619
"two sacks"	0.0438971
chipping	0.04332
"three homers"	0.0431285
"rate of exchange"	0.0425931
"about one percent"	0.0412926
"Less than one"	0.0409342
"pretax loss"	0.0409115
"three pitchers"	0.0403563
))
(career. (desc 1810.39) (sims
Series.	0.111772
season.	0.0896966
games.	0.0882316
seasons.	0.0766854
history.	0.0729862
"major league season"	0.0699602
"four nights"	0.0604823
ALCS	0.0536075
nightcap	0.051361
homestand	0.0512279
NLCS	0.050754
starts.	0.0505266
"British Opens"	0.045403
interleague	0.0448144
"World Cups"	0.0412776
))
(careerist (desc 1199.82) (sims
backpacker	0.0877901
whiner	0.0693559
expansionist	0.0669132
"hot potato"	0.0644984
"prima donna"	0.064057
twentysomethings	0.0632143
overachiever	0.0596764
misogynist	0.0592965
realpolitik	0.0588761
mafioso	0.0588301
egomaniac	0.0582125
Wagnerian	0.0566641
FOP	0.0565508
redhead	0.055676
scoundrel	0.0552341
sixth-grader	0.0552096
twit	0.0548294
chameleon	0.0547301
gabfest	0.0534467
Speer	0.0533728
ingenue	0.052922
slob	0.052619
protectionist	0.0522481
opportunist	0.0514475
lulu	0.0504653
Showboat	0.0499521
achiever	0.0491395
loner	0.0491193
schemer	0.0490719
hillbilly	0.0484087
"Jehovah's Witness"	0.0479392
tyrant	0.0478564
pro-Islamic	0.047715
obstructionist	0.0475926
Lothario	0.0475829
alacrity	0.0474791
handicapper	0.0467853
interloper	0.0463019
Slav	0.0462391
militarist	0.0459292
"New Democrat"	0.0457511
plutocrat	0.0456814
idealist	0.0445711
argot	0.0444731
beater	0.0439186
eavesdropper	0.0437635
"battering ram"	0.0437552
patois	0.0435336
crosswind	0.0428326
gangsta	0.0426408
"prosecuting attorney"	0.0425869
MONEYBAG	0.0425409
Luddite	0.0423801
Solver	0.0420266
Englishwoman	0.0417758
"Young Turk"	0.0415865
"storm cloud"	0.0414139
knucklehead	0.0411188
divorcee	0.0408168
moralism	0.0407621
manipulator	0.0400534
))
(caregiver (desc 11577.4) (sims
babysitter	0.0914416
"health care provider"	0.0905852
nurse	0.0886588
caretaker	0.0874378
breadwinner	0.0869977
"health professional"	0.0855225
physician	0.0817526
therapist	0.0812797
doctor	0.0791183
counselor	0.0771665
chaperone	0.0743282
"foster parent"	0.0726588
teacher	0.0721092
nanny	0.0715038
unemployed	0.0701854
diabetic	0.0700102
pediatrician	0.0697814
"family member"	0.0677007
"social worker"	0.0672553
clinician	0.0670107
educator	0.0669927
"legal guardian"	0.0669447
grandparent	0.0663658
pharmacist	0.0662253
"loved one"	0.0658393
relative	0.0655258
spouse	0.0645316
sitter	0.0640231
midwife	0.0637566
"staff member"	0.0630348
tutor	0.0621842
servant	0.0612049
"day care"	0.061147
dentist	0.0610056
gardener	0.0609279
schooling	0.0606725
"school principal"	0.060143
"foster child"	0.0590819
psychologist	0.0590241
tenant	0.0589596
preparers	0.0587439
Guardian	0.0585443
"medical student"	0.0583344
"church member"	0.0582406
wage-earner	0.0582154
"registered nurse"	0.0578142
"role model"	0.057472
staffer	0.0572994
housekeeper	0.0571863
"foster mother"	0.0570064
psychiatrist	0.0569306
"blood donor"	0.0567711
"senior citizen"	0.0565895
playmate	0.0563348
"juvenile delinquent"	0.0561238
"college student"	0.0560093
"investment adviser"	0.0559898
maid	0.0559309
part-timer	0.0559043
homemaker	0.055837
janitor	0.0555761
"school teacher"	0.05529
provider	0.0552042
"home buyer"	0.0550676
attendant	0.055061
pet	0.0548928
orphan	0.0548686
practitioner	0.0548364
insurer	0.0547323
employer	0.0546353
librarian	0.0546314
accountant	0.0544388
chauffeur	0.0544189
laborer	0.0542758
adoptees	0.0541548
trainee	0.0540786
homeowner	0.0539299
custodian	0.0532241
newborns	0.0530969
schoolmate	0.0522274
elderly	0.0521187
co-worker	0.05206
constituent	0.0520455
pupil	0.0519623
"travel agent"	0.0518997
"wage earner"	0.0517346
youngster	0.0516981
aged	0.0516213
giver	0.0513285
"civil servant"	0.0512078
clergy	0.0509432
veterinarian	0.0508079
boyfriend	0.0508004
sibling	0.0503925
technician	0.050111
sufferer	0.0499033
tutoring	0.0497538
traveler	0.0497098
helper	0.0495648
elder	0.0495641
retiree	0.0495224
"medical bill"	0.0495111
grandmother	0.0494223
shopper	0.0493697
mom	0.0493597
stepmother	0.0492914
"AIDS patient"	0.0492293
schizophrenic	0.0491525
pensioner	0.0491233
mentor	0.0490843
rabbi	0.0489645
"au pair"	0.0489305
survivor	0.048856
salespeople	0.048848
aunt	0.0488204
enumerators	0.0486502
taxpayer	0.0486244
"birth parent"	0.0485427
"married woman"	0.0485157
parishioner	0.0485088
infant	0.048431
hemophiliac	0.0483474
classmate	0.0482764
recipient	0.0481835
matchmaker	0.0481762
payer	0.0480044
"Lazaro Gonzalez"	0.0478867
vet	0.0478399
"parking ticket"	0.0474331
reviewer	0.0472775
nutritionist	0.0472491
beginner	0.0469754
"child care"	0.0469394
surgeon	0.0469341
administrator	0.0469257
"physical therapist"	0.0469064
"fellow worker"	0.0468427
gatherer	0.0466478
optometrist	0.0465929
amputee	0.0464354
"decision maker"	0.0463713
disabled	0.0463139
"private investigator"	0.0462241
interpreter	0.0460791
prostitute	0.0460633
juror	0.0460602
intern	0.0459454
"second cousin"	0.0459212
"policy maker"	0.045866
panelist	0.0458339
appraiser	0.045767
stepfather	0.0457631
"flight attendant"	0.0457538
"union member"	0.0455618
alcoholic	0.0454642
informant	0.0454555
searcher	0.0454433
winemaker	0.0454351
beneficiary	0.0454207
offspring	0.0453757
"sports fan"	0.0452966
firefighters	0.0452776
fiance	0.0452543
paramedic	0.0451884
"health maintenance organization"	0.0451782
"software engineer"	0.0451741
"football coach"	0.045163
"black person"	0.0451192
masseuse	0.0451034
caseworker	0.0451004
supervisor	0.0450387
cousin	0.0448604
charity	0.0448495
Reader	0.044764
interviewee	0.0447282
priest	0.044696
teens	0.0446461
novice	0.0446365
Tuition	0.0446089
CFO	0.0446021
facilitator	0.0444971
"math teacher"	0.0444112
"medical specialist"	0.0444089
teen-ager	0.0443911
Realtor	0.0443622
mechanic	0.0442979
astronaut	0.0442975
"public servant"	0.044275
chaplain	0.0442739
CPA	0.0442346
donor	0.0442257
counseling	0.0442182
"nursing home"	0.0441638
receptionist	0.0441461
instructor	0.0441247
principal	0.044084
miner	0.0440597
chef	0.0440295
contractor	0.0440194
abuser	0.0439411
))
(carelessness (desc 5087.88) (sims
negligence	0.143526
incompetence	0.118648
stupidity	0.105407
ignorance	0.100418
laxity	0.0936969
miscalculation	0.0912445
recklessness	0.0912257
indifference	0.0909016
dishonesty	0.0905127
inexperience	0.0894823
irresponsibility	0.0867691
overconfidence	0.082958
neglect	0.0822416
arrogance	0.0821218
sloppiness	0.0816548
"engine failure"	0.0797122
hubris	0.0796553
greed	0.0778904
intransigence	0.0727448
petulance	0.0725327
selfishness	0.0717191
mishandling	0.0715936
drunkenness	0.0713311
misjudgments	0.07084
complacency	0.0706856
"breach of contract"	0.0697737
inefficiency	0.0693479
inattention	0.0688992
mismanagement	0.0686424
apathy	0.0680598
misspelling	0.0671877
naivete	0.0664788
Indiscipline	0.0653429
miscommunication	0.0653282
rudeness	0.0646954
belligerence	0.0640169
speeding	0.0640069
"false imprisonment"	0.063417
"alcohol abuse"	0.0631349
laziness	0.0623497
inaction	0.0622478
malpractice	0.0621201
malice	0.0619135
"bad luck"	0.0616588
irregularity	0.0615069
insecurity	0.060766
misconduct	0.0603564
malfunction	0.0602345
stubbornness	0.0597118
misunderstanding	0.0593656
hypocrisy	0.0589784
brutality	0.0589575
immaturity	0.0588661
overuse	0.0575106
"short circuit"	0.0570694
nonchalance	0.0569148
disrespect	0.0552995
happenstance	0.0538975
misinformation	0.0534768
misjudgment	0.0531672
altruism	0.053134
cynicism	0.0525215
misstep	0.0523574
reluctance	0.0521972
gaffe	0.0517023
aloofness	0.0514737
vanity	0.05131
cockiness	0.0512332
inconsistency	0.050879
"hot weather"	0.0505428
overwork	0.0505042
capitulation	0.0502541
omission	0.0500994
maltreatment	0.0500504
deficiency	0.049646
overproduction	0.0494815
insensitivity	0.0494603
foul-up	0.0494154
unwillingness	0.0492208
jealousy	0.0490976
procrastination	0.0485921
"human activity"	0.0485258
glut	0.0484489
horseplay	0.0483089
frailty	0.048141
impatience	0.0479738
bursting	0.0478736
wrongdoing	0.0478094
infidelity	0.0477236
infliction	0.0477172
racism	0.0471166
corrosion	0.047067
betrayal	0.0470112
"bad weather"	0.0468267
inaccuracy	0.0467297
plagiarism	0.0467085
malfeasance	0.0466098
arson	0.0465526
"market correction"	0.0463361
cruelty	0.0461795
impropriety	0.0461627
complicity	0.0458155
foot-dragging	0.0457213
instability	0.0455061
deforestation	0.0454066
weakening	0.0453562
"rising prices"	0.0450142
inertia	0.0450125
mistreatment	0.0449981
harassment	0.0449332
unfairness	0.0447922
intolerance	0.0447116
"wishful thinking"	0.0445651
backsliding	0.0444175
"good will"	0.044366
indecision	0.0443635
"double standard"	0.0443634
blunder	0.0442557
discrepancy	0.0441086
lawlessness	0.0440064
misrepresentation	0.043973
influx	0.0435539
"sexual harassment"	0.0430001
miscue	0.0429198
caprice	0.0429149
Exhaustion	0.0427598
UV	0.0427507
dehydration	0.0425065
manipulation	0.0423046
bullishness	0.0419069
"sour grapes"	0.0419013
mishap	0.0417211
vandalism	0.0416866
fragility	0.0416303
permissiveness	0.0416303
disorganization	0.0416276
misdeed	0.0416115
desperation	0.0415239
fragmentation	0.0414088
hesitation	0.0414017
lethargy	0.0413298
gluttony	0.0413217
incompatibility	0.0412556
overreaction	0.0411986
influenza	0.0411376
"high temperature"	0.0410434
mutation	0.0409153
wariness	0.0408973
"change of mind"	0.04087
self-destruction	0.0408
adventurism	0.0407707
alertness	0.040759
narcissism	0.0407054
marginalization	0.0407031
misfortune	0.0406217
misbehavior	0.0405771
provocation	0.0405572
leakage	0.0404217
cowardice	0.040349
pandemonium	0.0402941
"foul play"	0.0402292
oversupply	0.0401217
wickedness	0.0401038
))
(caress (desc 1013.88) (sims
Harlequin	0.0699954
fierceness	0.0672186
lilt	0.0667857
reverie	0.0627178
millimeter	0.0616109
exclamation	0.060042
Charley	0.0593033
high-fives	0.056777
teardrop	0.0545688
hand-holding	0.0531543
rainforests	0.052603
wisp	0.0494014
Montalvo	0.0490861
Lullaby	0.0480933
"fruit salad"	0.0462889
celeb	0.0454732
wistfulness	0.0454725
neurosis	0.0451321
"trade wind"	0.0448558
"Alice Cooper"	0.0445683
femininity	0.0445079
Vibe	0.0440231
"David Cassidy"	0.0436282
fillip	0.043569
gibe	0.0432565
highlighting	0.0426796
"line drawing"	0.0425948
headstone	0.0423823
obeisance	0.0421874
"history lesson"	0.041988
"Black Sabbath"	0.0415833
"birthday card"	0.0414828
dispossession	0.0411485
waterlily	0.0410846
ribbing	0.0409804
sendoff	0.0409242
tangent	0.0405183
capris	0.0403777
"knockout punch"	0.0402561
freckle	0.0402426
wooing	0.0401142
))
(caretaker (desc 16677.9) (sims
custodian	0.0905343
caregiver	0.0874378
Guardian	0.086422
"legal guardian"	0.0762026
servant	0.0722498
overseer	0.0689732
housekeeper	0.0674628
trustee	0.0665979
seamstress	0.0665013
"social worker"	0.0662599
"Deve Gowda"	0.0650997
executor	0.0638594
maid	0.0612278
"guardian angel"	0.0611723
pastor	0.0606783
"foster parent"	0.0599888
gatekeeper	0.0594795
librarian	0.0594433
chaperone	0.0591247
chauffeur	0.0588683
receptionist	0.0587907
matchmaker	0.0587311
nurse	0.0582238
counselor	0.0582197
assistant	0.0571569
babysitter	0.0570946
go-between	0.0568057
breadwinner	0.0564452
stewardess	0.0557305
aunt	0.0556496
facilitator	0.0556394
caddie	0.0554894
chaplain	0.0554377
watchman	0.0552864
housewife	0.0551269
"school teacher"	0.0550889
"sounding board"	0.0550751
mentor	0.054358
paralegal	0.0542813
attendant	0.0539822
kingmaker	0.0534742
superintendent	0.0531614
"H.D Deve Gowda"	0.0528577
steward	0.0521087
"second cousin"	0.0520862
figurehead	0.0520851
clerk	0.0518068
guidepost	0.051699
instructor	0.0516885
electrician	0.0516823
"football coach"	0.051673
prostitute	0.0513191
supervisor	0.0510301
hostess	0.0510041
policeman	0.0509667
keeper	0.0507951
handyman	0.0507833
stockbroker	0.0506774
girlfriend	0.0505121
architect	0.0504615
nanny	0.0504224
sitter	0.0502399
uncle	0.0502126
stuntman	0.0501322
janitor	0.0500608
bricklayer	0.0499873
schoolteacher	0.0498492
foreman	0.0498105
"pitching coach"	0.0497997
pediatrician	0.049513
troubleshooter	0.0494616
priest	0.0493423
"role model"	0.0492916
enforcer	0.0492211
translator	0.0490943
accountant	0.0490436
"Chavalit Yongchaiyudh"	0.0490286
surrogate	0.0489558
grandparent	0.0489128
therapist	0.0487932
homemaker	0.0487301
teller	0.0483117
bodyguard	0.0482269
tutor	0.0482216
stand-in	0.0480983
"finance minister"	0.0479114
"private investigator"	0.0478817
missionary	0.0478518
lifeguard	0.0478178
peacemaker	0.0478128
boyfriend	0.0476829
curator	0.0476824
"family member"	0.0475607
protector	0.0474903
warden	0.0474141
"Chuan Leekpai"	0.0473973
helper	0.0471307
bookkeeper	0.0471013
ex-girlfriend	0.0470796
administrator	0.0470075
"art director"	0.0469838
recluse	0.0466763
waiter	0.0466339
organist	0.0465251
"basketball coach"	0.0464637
Ambassador	0.0464156
accompanist	0.0464002
"real estate agent"	0.0463981
"public servant"	0.0463394
"traffic cop"	0.0462148
"truck driver"	0.0460412
bartender	0.0459982
intermediary	0.0459267
"math teacher"	0.0457562
treasurer	0.0456824
CEO	0.0455778
"law student"	0.0452667
illustrator	0.0452023
cousin	0.0450827
consultant	0.0450632
heir	0.0450429
sportswriter	0.0449866
"police officer"	0.0448711
co-worker	0.0447203
firefighter	0.0446965
psychiatrist	0.0446691
liquidator	0.04465
publicist	0.044647
healer	0.0446462
stepmother	0.0446455
groundskeeper	0.0445772
"literary agent"	0.0443236
companion	0.0443199
"black person"	0.0442347
widower	0.0440687
"Sri Lankan"	0.0439901
Bos	0.043952
"executive secretary"	0.043888
"staff member"	0.0438334
"press agent"	0.0438277
trainer	0.0438149
widow	0.0437833
proprietor	0.0437797
grandmother	0.0436668
veterinarian	0.0436315
"English teacher"	0.0436103
businessman	0.043561
boss	0.0435131
"security guard"	0.0434933
waitress	0.0433775
physician	0.0433386
aide	0.0432336
gardener	0.0431947
"investment adviser"	0.0431176
"Benazir Bhutto"	0.0430876
Deacon	0.0430662
"school principal"	0.0430554
"Inder Kumar Gujral"	0.0430492
technician	0.0430363
"investment banker"	0.0430247
"disc jockey"	0.0430003
lover	0.0429715
niece	0.0429387
outcast	0.0428937
mediator	0.0428502
"Nawaz Sharif"	0.0428302
"chief financial officer"	0.0427603
Vajpayee	0.0426849
arbiter	0.0426542
"software engineer"	0.0425385
sidekick	0.0425137
"best friend"	0.0424612
alcoholic	0.0423979
interpreter	0.0423275
player-coach	0.0423166
director-general	0.0423026
bystander	0.0422855
"Prime Minister"	0.0422539
patron	0.0422142
storyteller	0.0421923
"public defender"	0.0421249
arbitrator	0.042123
ruler	0.0420945
subordinate	0.0420705
educator	0.0419778
cheerleader	0.0419656
bridesmaid	0.0419595
"prima donna"	0.0417446
"Lazaro Gonzalez"	0.0416908
"chairman of the board"	0.0416813
psychologist	0.0416626
"commander in chief"	0.0416069
Programmer	0.0415382
"flight attendant"	0.0415381
stepchildren	0.0415112
"front man"	0.041465
informant	0.0414604
advisor	0.0414445
godfather	0.041325
"first lady"	0.0413024
))
(Carey (desc 7448.54) (sims
Hoffa	0.135045
Ferraro	0.0978353
McDonnell	0.0850378
Ammiano	0.0843546
Dukakis	0.0818326
Rosenthal	0.0814569
Mauro	0.0813372
Khatami	0.0813341
Ventura	0.0787011
Poplasen	0.078588
Ashcroft	0.0784487
Arias	0.078379
Menem	0.0780423
Maloney	0.0779755
Sorensen	0.0779737
bock	0.077954
Hagelin	0.0777907
Carnahan	0.0777031
Ganga	0.0773051
Buchanan	0.0769967
DOLE	0.0768486
Sweeney	0.0768432
Perot	0.0763638
Corzine	0.0763146
Taft	0.0757112
Bauer	0.0751627
Spitzer	0.074969
Quackenbush	0.0748936
Levin	0.0747668
Goldin	0.0746663
Fujimori	0.0745735
Valenti	0.0741555
Berenson	0.0740837
Kahn	0.0738085
Donohue	0.0737333
Pataki	0.073599
Tuttle	0.0735648
Megawati	0.0729102
Estrada	0.0725926
Siegelman	0.072505
Aristide	0.0724765
Labastida	0.0723129
Schumer	0.0721877
Cardoso	0.072111
Yeltsin	0.0718994
Molinari	0.0717919
Hanley	0.0715407
Flockhart	0.0713061
Torricelli	0.0712998
Richards	0.0711852
FAIRCLOTH	0.0707515
Boyle	0.0705118
Dowd	0.0703146
Cheever	0.0701395
Armey	0.0700317
Berisha	0.0698934
Whitman	0.069854
Cole	0.0698039
Kostunica	0.0696648
Hodges	0.0694746
Kerrey	0.0693425
Salazar	0.069265
Biffle	0.069033
Meissner	0.0690031
Keyes	0.0689452
Giuliani	0.0687911
Menchu	0.0686421
Quayle	0.0684944
Reagan	0.0683985
Chen	0.0680715
MacKay	0.0680537
Schroeder	0.0680268
Betts	0.0680085
D'Amato	0.0678562
Harshbarger	0.0677831
Patten	0.067551
Gomez	0.06752
Welch	0.0673342
Blatter	0.0672926
Zhao	0.0671659
Bouchard	0.066872
Alarcon	0.0667799
Rua	0.0666458
Obasanjo	0.0665533
Vallone	0.0664917
Whipple	0.0664353
Chavez	0.0664235
Kennelly	0.0663552
Lyons	0.0662866
Samaranch	0.066265
Gephardt	0.0661941
Katsav	0.0661692
Nethercutt	0.0661546
Stevenson	0.0658735
Hagen	0.0656528
Djukanovic	0.0655831
Bradley	0.0654334
Ferguson	0.0653043
Putin	0.0651556
Florio	0.0648396
Rendell	0.0648352
Rodgers	0.0647296
Alexander	0.064702
Appleby	0.064632
Madrazo	0.0645939
Waxman	0.0645833
Andersen	0.0645089
Kurth	0.0644319
Indyk	0.0643921
Nebiolo	0.0642851
Gingrich	0.0642041
McCall	0.0641391
Sullivan	0.0641024
Harman	0.0639592
Webb	0.0639287
Weizman	0.0638679
Pierson	0.0637586
Barnes	0.0637327
Draskovic	0.0636115
Chang	0.0636023
Cellucci	0.0635609
Nazarbayev	0.0635213
Speight	0.0635109
Gardner	0.0634189
Crenshaw	0.0633497
Rafsanjani	0.0632311
Brock	0.0630914
McQueen	0.0630332
Pantani	0.0629252
Holmes	0.062898
Lowry	0.0628781
Peters	0.0627704
Fernandez	0.0626856
petty	0.0626352
O'Sullivan	0.0625181
Cota	0.0624279
Dion	0.0624242
Tung	0.06239
Watts	0.0623714
Farber	0.0623658
Daniels	0.0622606
Harrington	0.0622398
Chissano	0.0622187
Reilly	0.0622183
Trimble	0.0622041
Stephenson	0.0621897
Ditka	0.0621436
Oates	0.0620798
Ramos	0.0620637
Copeland	0.0620508
Locke	0.0620406
Rogan	0.0620306
Aleman	0.0619814
Hu	0.0619721
Barrett	0.0618352
Weiner	0.0618026
Tanui	0.0616784
Plavsic	0.0616176
Ouattara	0.0615587
Madden	0.0615207
Garcia	0.0615071
Zedillo	0.0614524
Herron	0.061441
Lukashenko	0.061436
Carter	0.061426
Samper	0.0613491
Voinovich	0.0613236
Hanson	0.0613191
Ruehe	0.0613054
Solis	0.0613025
Watson	0.061291
Blake	0.0612178
Toledo	0.0612141
"Sepp Blatter"	0.0611569
Blackman	0.060976
COYNE	0.060968
Cheng	0.0608728
Cardenas	0.0608212
Gifford	0.0607559
Mitchell	0.0607193
Jacobs	0.0607046
Merritt	0.0606618
Barr	0.0606605
Brenner	0.0605759
Mukora	0.0605509
Mcbride	0.0605203
Advani	0.060507
Osborne	0.0605064
Schmidt	0.0604377
Hauser	0.0604025
Lange	0.0603753
O'Connell	0.0603465
Megret	0.0602699
Brazile	0.0602139
Paxon	0.0601284
Vogel	0.0600654
Flores	0.0600633
Rugova	0.060051
Kumaratunga	0.0599963
Feldman	0.0598824
))
(Cargill (desc 2858.44) (sims
Dupont	0.146303
Enron	0.146039
"Du Pont"	0.139855
BASF	0.126562
Monsanto	0.124205
Novartis	0.123858
"GE Capital"	0.117609
"Union Carbide"	0.116288
"Sara Lee"	0.116158
Alcoa	0.114007
Tropicana	0.112993
RJR	0.112073
ARCO	0.111211
CCE	0.108774
"Eastman Kodak"	0.107332
"Softbank Corp."	0.106707
"International Paper"	0.105291
"P&AMP;G"	0.104445
Bayer	0.103591
Albertson's	0.10298
"De Beers"	0.102155
PolyGram	0.10203
Texaco	0.101768
Frito-Lay	0.101675
Cadbury	0.101004
"Pacific Lumber"	0.100911
"Koch Industries"	0.100769
"BP Amoco"	0.100004
Checkfree	0.0997319
Alcatel	0.0988636
"Computer Associates"	0.0986361
AIG	0.0983031
Merck	0.0979853
Seagate	0.0979211
Unilever	0.0978527
Roche	0.0964621
"Legend Group"	0.0963303
Sumitomo	0.0962986
NiSource	0.0953936
Chevron	0.0944724
Aventis	0.0944667
GANNETT	0.0944563
"HBO &AMP; Co."	0.0941623
Exxon	0.093963
"American Family Publishers"	0.0938802
"Learning Co."	0.0929981
Seagram	0.0926547
Conoco	0.0926321
SBC	0.0925555
McKesson	0.0922512
Aetna	0.0918535
Scientific-Atlanta	0.0918013
BP	0.0917857
"State Street"	0.091586
Bestfoods	0.0915064
GTE	0.0909721
"Phelps Dodge"	0.0908329
Nortel	0.0906713
CMGI	0.0903806
Echostar	0.0901816
"Tribune Co."	0.0901612
Georgia-Pacific	0.0899289
ExciteAtHome	0.0897851
"International Business Machines Corp."	0.0887591
ENTERGY	0.0886812
Ameritech	0.088681
"Bear Stearns"	0.088624
"T Corp."	0.0883989
Mobil	0.0883286
NORTHROP	0.0882613
Publicis	0.0882566
"Dow Corning"	0.0879445
"Network Associates"	0.0877541
"Ask Jeeves"	0.0872656
TYCO	0.0865323
"American Home Products"	0.0865202
CNOOC	0.0860911
"Philip Morris"	0.0856721
Gartner	0.0856616
BellSouth	0.0855444
XYLAN	0.0853421
Symantec	0.0850572
WorldCom	0.0850103
ING	0.0849894
Xerox	0.0849309
Heinz	0.0848622
Westinghouse	0.0847962
"Pepsico Inc."	0.0845959
ENTREMED	0.0845177
TCI	0.0844657
"CMGI Inc."	0.0841072
"MCI WorldCom"	0.0838461
"American Home"	0.0838011
"Federated Department Stores"	0.083718
Halliburton	0.0836272
Alltel	0.0836124
iXL	0.0832035
AHP	0.0828513
Bertelsmann	0.0827408
Schlumberger	0.0822705
VoiceStream	0.0822113
"MCI Worldcom Inc."	0.0820744
DoubleClick	0.0817482
"Procter &AMP; Gamble Co."	0.0816314
All-Tech	0.0815008
"Main Events"	0.081332
Citigroup	0.0811854
UAL	0.0811079
"Cadbury Schweppes"	0.0809527
"Exxon Mobil"	0.0809019
Hoechst	0.080872
Amoco	0.0807108
"Johnson &AMP; Johnson"	0.0806565
Equifax	0.0805584
Vivendi	0.0805307
Hasbro	0.0803328
"Campbell Soup"	0.0801679
Siemens	0.0798207
Nomura	0.0798023
Weyerhaeuser	0.0797158
"British Petroleum"	0.0795956
MCI	0.079574
"American International Group"	0.079352
"Motorola Inc."	0.0792937
"Walt Disney Co."	0.07888
"Kraft Foods"	0.0785977
Kodak	0.0784878
"Enron Corp."	0.0784178
"Berkshire Hathaway"	0.07838
Pfizer	0.078297
"Cox Communications"	0.0782629
RealNetworks	0.0782587
Viacom	0.078097
"Time Warner"	0.0779264
"First USA"	0.0779149
Ericsson	0.0777958
"Dow Chemical"	0.0774856
"Procter &AMP; Gamble"	0.077327
"Turner Broadcasting"	0.0773004
"R.J Reynolds"	0.0771683
ADM	0.0768357
IMG	0.0767129
EMC	0.0766651
"Southwestern Bell"	0.0766432
Airtouch	0.076506
Citibank	0.0764718
"Saatchi &AMP; Saatchi"	0.0764499
Litton	0.0764078
Princeville	0.0763348
Cablevision	0.0759378
Motorola	0.0758921
BOC	0.075451
Gillette	0.0754363
Sunbeam	0.0753593
"Cisco Systems Inc."	0.0750718
"Texas Instruments"	0.0748517
Medtronic	0.0747457
"Nortel Networks"	0.0746401
"General Motors"	0.0744612
Volvo	0.0743964
BNFL	0.0743711
Pertamina	0.0741905
CCA	0.0740122
Sanyo	0.0740117
Loewen	0.0740029
"Oracle Corp."	0.0739902
"Thermo Electron"	0.0738643
Nestle	0.0738479
"U S West"	0.0736805
"Tele-Communications Inc."	0.0736361
"Time Inc."	0.0736239
Zeneca	0.073618
ALZA	0.0734887
"Con Edison"	0.0733576
Raytheon	0.0732291
Nabisco	0.0731365
"Con Ed"	0.0730545
SFX	0.0730071
Aegon	0.0729783
"Eastern Airlines"	0.0729292
"Dell Computer Corp."	0.0728011
"True North"	0.0726786
"Network Solutions"	0.0726052
"Abbott Laboratories"	0.0725651
Mattel	0.0725497
GPU	0.0725379
"Park Place"	0.0725257
Bridgestone	0.0724905
Netcom	0.0724401
Pepsico	0.0723712
Caltex	0.0723557
PRIMESTAR	0.0723327
"Conde Nast"	0.0723272
Safeway	0.0723139
Pillsbury	0.0722593
"News Corp."	0.0721735
Fujitsu	0.0719954
Olivetti	0.071897
USEC	0.071526
Kambanda	0.071458
))
(cargo (desc 56117.5) (sims
freight	0.239074
goods	0.163544
shipment	0.154338
container	0.142474
passenger	0.140027
"crude oil"	0.127122
Coal	0.12382
consignment	0.118728
waste	0.118378
transport	0.118294
supply	0.113164
tanker	0.112984
import	0.111514
grain	0.110713
oil	0.108929
baggage	0.108607
shipping	0.106408
Garbage	0.104356
export	0.103862
ship	0.102206
vessel	0.102138
fuel	0.10211
luggage	0.101022
traffic	0.100863
throughput	0.099266
equipment	0.0966632
wheat	0.0962463
cocaine	0.0956865
load	0.0954666
payload	0.0940894
transshipment	0.093596
commodity	0.0933437
"food aid"	0.0920071
transportation	0.0916789
food	0.0894581
steel	0.088723
barge	0.0886027
"oil tanker"	0.0884409
fertilizer	0.088209
cement	0.0877787
narcotic	0.0864314
aircraft	0.0862076
ore	0.0859529
"cargo container"	0.085646
tonne	0.0855828
truck	0.0848689
material	0.0835973
Tonnage	0.0834275
crude	0.0827866
explosive	0.0819303
"about @@@ tons"	0.0809927
chemical	0.0799028
maize	0.0797743
flight	0.0795476
product	0.0793523
freighter	0.0790949
quantity	0.0790865
ferry	0.0788007
heroin	0.0785118
Sewage	0.0785031
item	0.07774
"cargo ship"	0.0776443
storage	0.0773021
rice	0.0771976
output	0.0768645
"container ship"	0.0765999
"food grain"	0.0765272
"fuel oil"	0.0763649
vehicle	0.0763195
volume	0.0762099
production	0.0759111
tourist	0.0754307
foodstuff	0.075148
"iron ore"	0.0742763
processing	0.0738398
transit	0.0737105
petroleum	0.0737004
gas	0.0735444
silt	0.073257
plane	0.0727712
contraband	0.0726365
sugar	0.0723772
ton	0.0716894
"motor vehicle"	0.0716391
weapon	0.0715992
ammunition	0.0712684
merchandise	0.0710319
inventory	0.0706452
munition	0.0704031
crew	0.07036
"toxic waste"	0.0700752
"spare part"	0.0694677
tank	0.0693507
train	0.0691012
stockpile	0.0690083
wastewater	0.0689636
importation	0.0685756
rubbish	0.0683294
capacity	0.0683217
"raw material"	0.0680706
delivery	0.0677862
drug	0.0677617
C-@@@	0.0677375
airplane	0.0676983
railway	0.0674343
plutonium	0.0672524
smuggling	0.0669284
"more than @@,@@@ tons"	0.0667597
terminal	0.0666571
"crew member"	0.0660256
"more than @,@@@ tons"	0.0659613
fish	0.065955
Copper	0.0658765
"natural gas"	0.0656458
cotton	0.0656305
meat	0.0652922
commuter	0.0646823
lorry	0.064662
Mail	0.0644409
reserve	0.0643082
flow	0.0642554
"diesel oil"	0.0642354
loading	0.0639581
"international flight"	0.0639111
automobile	0.0636779
traveler	0.063225
bus	0.0632129
timber	0.0629423
route	0.0627847
"two tons"	0.0626197
"food supply"	0.0625238
crop	0.0624628
uranium	0.0622917
boat	0.0620626
helicopter	0.0620036
metal	0.0619257
sale	0.0619039
amount	0.0616414
machinery	0.0616328
service	0.0615933
trash	0.0615917
"building material"	0.0615526
consumption	0.0609391
"production capacity"	0.0608808
water	0.0608314
"passenger train"	0.0604023
transaction	0.06039
car	0.0603654
bag	0.0602351
medicine	0.0602131
deposit	0.0601586
textile	0.0599029
investment	0.0598992
crewmen	0.0598101
distribution	0.0596455
newsprint	0.0595742
Satellite	0.0595374
emission	0.0591668
aviation	0.0589873
pesticide	0.0589579
firearm	0.0589417
shipbuilding	0.0583243
tourism	0.058281
suitcase	0.057771
refugee	0.0577567
travel	0.0576342
aid	0.0576002
weaponry	0.057462
gasoline	0.0574212
fruit	0.0573945
belonging	0.0571032
"heavy weapon"	0.0568349
marijuana	0.0567923
electricity	0.0567444
manufacturing	0.0567217
"passenger car"	0.0564621
airline	0.0563992
parcel	0.0563825
engine	0.056274
navigation	0.0562034
warship	0.0559555
hardware	0.0559188
cigarette	0.0558864
lumber	0.055852
beef	0.0558076
jetliner	0.0556564
facility	0.0553482
debris	0.0553105
diamond	0.0552973
iron	0.0551962
carrier	0.055166
pipeline	0.0550863
transmission	0.0549715
hashish	0.0549446
"consumer goods"	0.0548513
fleet	0.0547816
generator	0.0546012
personnel	0.0545935
worth	0.0545465
port	0.0543169
))
("cargo area" (desc 1173.29) (sims
"electronic database"	0.0972979
armrest	0.085848
tailgate	0.081367
windscreen	0.0780784
headrest	0.0705565
defroster	0.069412
"suspension system"	0.0692046
headroom	0.0678797
"escape hatch"	0.0661109
"emergency exit"	0.0641252
"seating area"	0.0635815
"oil slick"	0.0629617
"Universal Music Group"	0.0618534
hyperlinks	0.0615602
"private corporation"	0.0607755
fascia	0.0601134
"back porch"	0.0598547
"golden parachute"	0.0588862
"sailing vessel"	0.0579143
"service area"	0.0577898
"endowment fund"	0.056718
legroom	0.0563342
hippocampus	0.0560044
theocracy	0.0553948
"bucket seat"	0.0547728
"work surface"	0.05447
axle	0.0508357
"entitlement program"	0.0502303
"oil paint"	0.0501389
"economies of scale"	0.0500371
overhang	0.0500349
"tool kit"	0.0487802
"market penetration"	0.0487529
"living space"	0.0486982
staterooms	0.0486664
drugmaker	0.0485381
Ellipse	0.0483679
Os	0.048221
deflector	0.0481229
intranet	0.0480194
cellblock	0.047898
caster	0.0478245
"table of contents"	0.0477727
roadmap	0.0471262
REIT	0.0469305
"gefilte fish"	0.0462433
"surface area"	0.0460063
"target area"	0.04591
DeVille	0.0459007
"air bubble"	0.0454702
"line of products"	0.0454383
"dairy cow"	0.0453404
berm	0.0453015
"pedestrian bridge"	0.0450608
Canopy	0.0448893
"tax base"	0.044797
earpiece	0.0445538
"freight car"	0.0443987
"investment company"	0.0439253
megaplexes	0.0435622
indentation	0.0435048
"blind spot"	0.0434808
"Florida Keys"	0.0434708
Moneyline	0.0434182
divot	0.0432745
changer	0.0431453
manhole	0.0430278
"storage area"	0.042987
"cast of characters"	0.0429041
slipcover	0.0424728
"National Gambling Impact Study Commission"	0.0424318
Icebox	0.04227
"tax benefit"	0.0420953
carport	0.0420148
hailstone	0.0417797
numeral	0.0417189
Fantasia/@@@@	0.0412343
aggregation	0.0411018
"wind tunnel"	0.0410464
deductibility	0.0410325
"Windy City"	0.0409241
ECN	0.0409211
STARMEDIA	0.0409089
"ice crystal"	0.0407431
"flower arrangement"	0.04064
"William Morris"	0.0406285
molar	0.0406087
aperture	0.040525
"shareholder value"	0.0404834
waistline	0.0402784
"water tank"	0.0402152
shipbuilder	0.0400632
))
("cargo container" (desc 2656.44) (sims
container	0.132799
boxcar	0.0891052
freight	0.0877558
cargo	0.085646
"paper bag"	0.0821542
crate	0.0806114
"container ship"	0.0805482
suitcase	0.0770001
"trash can"	0.0675326
"garbage can"	0.0671033
"public toilet"	0.0670534
trunk	0.0651824
"Cliffs Notes"	0.0649289
luggage	0.064738
dwt	0.0631775
flue	0.0631149
compartment	0.0630873
freighter	0.062801
"freight car"	0.0620413
"electrical device"	0.0616904
stowaway	0.0610162
"deposit box"	0.0605132
"shopping bag"	0.0604912
"water tank"	0.0604374
lorry	0.0596183
briefcase	0.0594301
"chicken coop"	0.0593017
Phoenician	0.0589603
lifeboat	0.0586047
backpack	0.0576367
"tractor trailer"	0.0573621
baggage	0.0567673
"body bag"	0.0562645
pallet	0.056239
"gas tank"	0.0559245
consignment	0.0558691
powerboat	0.0554433
carton	0.0550634
"coaxial cable"	0.0550517
cupboard	0.054913
tanker	0.0546206
forklift	0.0545483
barge	0.0543888
ore	0.0534034
"water jug"	0.0533632
crewmen	0.0526546
C-@@@	0.0526441
skiff	0.0525437
"grocery bag"	0.0524392
cooler	0.0524365
diskette	0.0523491
"oil tanker"	0.0518003
jackscrew	0.0517753
joystick	0.051682
PCI	0.0516068
suture	0.051548
cylinder	0.0513882
culvert	0.0512865
"gray whale"	0.0510861
attic	0.0510113
"brokerage account"	0.050423
coffin	0.0503793
wrister	0.0502058
"soda can"	0.0496496
vagrant	0.0496456
C-@@	0.0495787
VMs	0.0494719
airball	0.0493636
forwarding	0.0489942
stanchion	0.0485376
Icebox	0.0484411
manhole	0.0481786
slapper	0.0481332
riverbed	0.0477038
spacesuit	0.0476144
packet	0.0476033
rowboat	0.0473785
"beer can"	0.0470226
vial	0.0469183
"glove compartment"	0.0468731
"tape measure"	0.0468022
illegals	0.0467904
outrigger	0.0467072
Crews	0.046499
"picture frame"	0.0462811
"liquefied natural gas"	0.0462074
"ballot box"	0.0461533
crewman	0.0460649
"parcel of land"	0.0459651
tray	0.045478
schooner	0.0453749
hemoglobin	0.0452691
"duffel bag"	0.045235
"life raft"	0.0450846
"liquefied petroleum gas"	0.0450584
panty	0.0450157
pantry	0.0450122
"delivery truck"	0.0446906
cyst	0.0446201
Tram	0.0446116
"passenger ship"	0.0445733
"storage room"	0.0445465
"more than @,@@@ pounds"	0.0442414
"Lake Tanganyika"	0.0441115
"fishing boat"	0.0440095
"medicine cabinet"	0.0438666
"Congo River"	0.0438326
IE	0.0438139
silo	0.0437799
steamboat	0.0437065
hippocampus	0.0437018
"patrol car"	0.0433293
defoliant	0.0433098
"three schools"	0.0432019
duct	0.0431855
traveller	0.0430688
canoe	0.0430525
"window frame"	0.0429597
Kisumu	0.0427826
"express train"	0.0427814
pontoon	0.0427457
alcove	0.0427199
pouch	0.042695
"Universal Serial Bus"	0.0426102
capsule	0.0423888
Casket	0.0423871
altimeter	0.0419461
"English Channel"	0.041852
"computer file"	0.041802
drawer	0.0417922
lawbreaker	0.0417658
"Airbus @@@"	0.0417566
sarcophagus	0.0416768
"garbage truck"	0.0415088
sloop	0.0414778
parachute	0.0414582
"railroad car"	0.0414461
motorboat	0.041198
gondola	0.0411821
docking	0.0411733
dumps	0.0411093
"passenger train"	0.0410657
"dorm room"	0.0408003
defibrillator	0.0407355
wheelbarrow	0.0405129
"cruise ship"	0.0405055
"phone book"	0.0404919
canister	0.0403088
"mobile home"	0.0402408
"clock tower"	0.0402349
greenhouse	0.0401357
Assab	0.0401346
knapsack	0.0401342
"communications satellite"	0.0400985
))
("cargo ship" (desc 13819.9) (sims
freighter	0.294472
"cargo vessel"	0.240863
vessel	0.199155
tanker	0.188408
"oil tanker"	0.185952
barge	0.18455
ship	0.178212
trawler	0.172697
"container ship"	0.166244
"fishing boat"	0.163175
ferry	0.146586
"merchant ship"	0.144364
"passenger ship"	0.142159
submarine	0.140964
boat	0.133002
"cruise ship"	0.130488
warship	0.122979
"patrol boat"	0.121955
yacht	0.121493
frigate	0.121331
tugboat	0.116854
spaceship	0.114157
"supply ship"	0.110915
"New Carissa"	0.110732
speedboat	0.106363
schooner	0.106249
lorry	0.105601
destroyer	0.103886
"pleasure boat"	0.099536
truck	0.0986877
gunboat	0.0969278
plane	0.0949071
"nuclear-powered submarine"	0.0940391
helicopter	0.091722
"sailing ship"	0.0915194
aircraft	0.0910903
"aircraft carrier"	0.0909847
Kursk	0.0908673
sailboat	0.0900634
ferryboat	0.0898327
"ocean liner"	0.089827
catamaran	0.0877356
"freight train"	0.0877074
airliner	0.0865806
"tractor trailer"	0.0858663
bus	0.0842394
motorboat	0.0837969
"small boat"	0.0834026
Atlantis	0.0815024
craft	0.0812756
van	0.0811702
airplane	0.0801277
sub	0.0800622
minibus	0.0792119
cargo	0.0776443
vehicle	0.0775649
"USS Enterprise"	0.0769422
Cruiser	0.0765419
"luxury liner"	0.0762121
rig	0.0760527
"torpedo boat"	0.0760213
dinghy	0.0755798
"passenger train"	0.0751899
"express train"	0.0734767
minesweeper	0.0714356
"dump truck"	0.0712851
jeep	0.0706897
capsule	0.0704423
spacecraft	0.0701041
battleship	0.0694895
jet	0.068992
jetliner	0.0680903
Fishermen	0.0671144
riverboats	0.0669215
bomber	0.0667816
trailer	0.0661652
hovercraft	0.0661593
"patrol ship"	0.0653155
steamer	0.0652312
"pirate ship"	0.0651533
warplanes	0.0651095
powerboat	0.0647771
shuttle	0.0637049
tank	0.0632469
Mir	0.0632268
locomotive	0.0627935
"freight car"	0.0624731
convoy	0.0623807
"attack submarine"	0.0622969
Satellite	0.0621748
"cabin cruiser"	0.0620732
container	0.0615403
"military vehicle"	0.0605971
"shipping company"	0.0605895
tractor	0.0602991
"Airbus A@@@"	0.0598114
MD-@@	0.0590028
"Flight @@@"	0.0589015
cutter	0.0588909
"fire engine"	0.0583926
U-boat	0.0582833
"sailing vessel"	0.057834
sailor	0.0573805
"fire truck"	0.0573619
wagon	0.0571135
M-@@	0.0569114
endeavour	0.0568459
module	0.0567981
"oil rig"	0.0567529
holidaymaker	0.0567251
iceberg	0.0566996
"commuter train"	0.0562566
"slave ship"	0.0562318
"railroad car"	0.0560103
canoe	0.0559403
icebreaker	0.0558734
rocket	0.0556078
consignment	0.0554556
B-@s	0.0552094
Mini-bus	0.055081
rowboat	0.0548944
crew	0.0546878
passenger	0.0546728
raft	0.0545487
F-@@s	0.0545244
shipment	0.0543649
carrier	0.0539915
"pickup truck"	0.0538311
sloop	0.0536454
fleet	0.0532673
"patrol car"	0.0531363
liner	0.0530181
"crew member"	0.0527479
dwt	0.0526352
"surface ship"	0.0525561
DC-@@	0.0523574
Concordes	0.0521976
taxi	0.0520817
boater	0.051997
wharf	0.0519242
C-@@@	0.0518393
Hunley	0.0516857
Crane	0.0515794
tug	0.0515561
"drilling rig"	0.0514722
"booster rocket"	0.0513458
"fighter aircraft"	0.0511924
crewmen	0.051188
balloon	0.0511509
freight	0.0509115
Learjet	0.0508987
missile	0.0508243
"personnel carrier"	0.0508025
riverboat	0.0507063
sled	0.0502512
chopper	0.0501955
"motor vehicle"	0.0501809
tractor-trailers	0.0501452
"communications satellite"	0.0501161
automobile	0.0500765
steamboat	0.0497902
Ambulance	0.0497808
pontoon	0.0497606
"Coast guard"	0.0495362
MiG-@@s	0.0494573
B-@@	0.0494035
diver	0.0493161
minibuses	0.0489018
"school bus"	0.048752
"Airbus @@@"	0.048686
Steamship	0.0484406
hulk	0.0479017
"moving van"	0.047449
semitrailer	0.0473646
"landing craft"	0.047114
shipowner	0.0470601
Motorcycle	0.0469361
"oil pipeline"	0.046378
asteroid	0.0462859
"space station"	0.0461919
"transport ship"	0.0460899
flotilla	0.0460332
Hijacker	0.0458113
dock	0.0457145
glider	0.0457042
"American plane"	0.0456716
Zarya	0.0456164
Boeing	0.0455356
enterpreneurs	0.0454955
gunship	0.0454868
"storage tank"	0.0454056
infantrymen	0.0448876
warhead	0.0448389
"naval forces"	0.0447574
fighter-bombers	0.044664
crewmates	0.0445664
warplane	0.0444435
migrant	0.0443282
limousine	0.0442981
pickup	0.0440246
))
("cargo vessel" (desc 3127.14) (sims
"cargo ship"	0.240863
freighter	0.222853
"container ship"	0.22004
"passenger ship"	0.212355
"pleasure boat"	0.179737
trawler	0.176226
"oil tanker"	0.156493
"fishing boat"	0.152186
tanker	0.149683
vessel	0.144788
"merchant ship"	0.135586
barge	0.132592
tugboat	0.130774
speedboat	0.12763
ferry	0.127522
"attack submarine"	0.124429
"small boat"	0.120069
"patrol boat"	0.115879
destroyer	0.113574
submarine	0.111334
ferryboat	0.109835
frigate	0.10325
warship	0.101457
gunboat	0.0989505
"ocean liner"	0.097302
sailboat	0.0954984
"torpedo boat"	0.0952802
catamaran	0.0947033
"luxury liner"	0.0946694
sloop	0.0918128
"nuclear-powered submarine"	0.0916567
yacht	0.0909622
Kursk	0.08931
steamer	0.0888922
schooner	0.0869967
"cruise ship"	0.0853532
rowboat	0.0844335
"aircraft carrier"	0.0841807
motorboat	0.0838248
"sailing ship"	0.0837375
"pirate ship"	0.0831648
"supply ship"	0.0829295
"Andrea Gail"	0.0827206
dinghy	0.0826417
powerboat	0.0819548
A@@@-@@@	0.0816348
Cruiser	0.0780194
hovercraft	0.0779479
"patrol ship"	0.0762761
battleship	0.075955
"sailing vessel"	0.0758238
Learjet	0.0705029
"freight train"	0.0698127
"spy satellite"	0.0695616
Hunley	0.0686318
"commuter train"	0.0678192
"Airbus @@@"	0.0675505
sub	0.0670567
Mini-bus	0.0670315
"Airbus A@@@"	0.0664853
seamen	0.0663563
Tonnage	0.0660571
freight	0.0659178
"surface ship"	0.0653318
canoe	0.0646008
"shipping company"	0.0643654
icebreaker	0.0626081
B-@s	0.0625816
jetliner	0.062475
airliner	0.0623109
crewmembers	0.0622544
minibuses	0.0615966
mini-van	0.0608624
"Ferris wheel"	0.0604529
chopper	0.060451
trolley	0.0602713
minibus	0.0601618
"express train"	0.0601127
lorry	0.0599761
frogmen	0.0598757
spaceship	0.0595772
crewmen	0.0586625
"oil rig"	0.0582682
pontoon	0.0582642
liner	0.0579718
minesweeper	0.0565839
"shuttle bus"	0.056454
raft	0.0562728
"dump truck"	0.0560671
mini-buses	0.0558934
"drilling rig"	0.0558323
Concordes	0.0552271
A-@@@	0.0549023
holidaymaker	0.0548567
flotilla	0.0544195
wharf	0.054384
"fighter aircraft"	0.0543212
dwt	0.0539169
"jet plane"	0.0538365
DC-@@	0.0526768
warplanes	0.0525981
"fire engine"	0.0521303
glider	0.0517005
diver	0.0514224
"USS Enterprise"	0.0509583
steamboat	0.0504799
submersible	0.0503779
"storage tank"	0.050358
spacecraft	0.0500524
cutter	0.0498186
torpedo	0.0494862
"artillery unit"	0.049358
blimp	0.0492574
"three tons"	0.0491815
locomotive	0.0491712
airship	0.0484458
skiff	0.047999
Concorde	0.0478336
"railway car"	0.0477338
"fishing gear"	0.0476493
B-@@	0.0476153
Tram	0.0473544
"communications satellite"	0.0473291
"transport ship"	0.0468918
"space vehicle"	0.0465269
yachtsman	0.0465143
A@@@s	0.0463575
"motor vehicle"	0.0462719
boater	0.0461582
U-boat	0.0461424
Yorktown	0.0461358
"Jet Skis"	0.0454544
"electric current"	0.045393
Steamship	0.0453647
"freight car"	0.0449587
"passenger train"	0.0449101
rickshaw	0.0447651
"school bus"	0.0444963
consignment	0.044373
merchandiser	0.0442869
kayaker	0.04419
"delivery truck"	0.0440169
"bus company"	0.0438879
"military vehicle"	0.0437211
C-@	0.0436939
taxis	0.0436082
double-decker	0.0434936
MiG-@@s	0.0434331
jetty	0.0433426
armada	0.0431484
Amistad	0.0430824
Cessna	0.0427773
"railroad car"	0.0426779
jeep	0.04248
payload	0.0420875
"weather satellite"	0.0420201
"fishing net"	0.0417936
"Air France Concorde"	0.0416871
paddler	0.0414649
kayak	0.0414439
F-@@s	0.0411617
"piece of cloth"	0.0411509
"tax income"	0.0410055
skydiver	0.040963
"Flight @@@@"	0.0408738
iceberg	0.0407303
"another @-pointer"	0.0406483
gunship	0.0405577
twenty-four	0.0405363
stowaway	0.0404325
biplane	0.0404079
"Lunar Prospector"	0.0404039
"suspension bridge"	0.0403627
"American plane"	0.0402035
"life raft"	0.0401537
"radio telescope"	0.0401347
"Cessna @@@"	0.0401107
capsule	0.0400945
"neutron star"	0.0400474
"garbage truck"	0.0400387
))
(Caribbean (desc 44642.9) (sims
Mediterranean	0.160317
"South America"	0.149973
pacific	0.141054
Bahamas	0.138801
Atlantic	0.132474
"South Pacific"	0.130709
"Central America"	0.128247
"Gulf of Mexico"	0.12202
"Far East"	0.119666
Asia	0.119587
"Latin America"	0.118914
Africa	0.117292
"Southeast Asia"	0.115536
Europe	0.113381
"Puerto Rico"	0.10937
Honduras	0.107636
"North America"	0.10729
"Caribbean Sea"	0.106558
"Western Europe"	0.104506
Mexico	0.104322
Gulf	0.103487
"Persian Gulf"	0.102623
"Eastern Europe"	0.101416
Alaska	0.101129
"Middle East"	0.100635
"Indian Ocean"	0.0976374
region	0.0971303
"Dominican Republic"	0.0964369
"West Africa"	0.0960678
Oceania	0.0957998
"Pacific Ocean"	0.0956164
"East Asia"	0.0945841
"Latin American"	0.0938575
Aegean	0.0922809
"Great Lakes"	0.0914098
"Central American"	0.0903588
"North Africa"	0.0882891
island	0.0881811
California	0.0878995
Canada	0.0876814
Baltic	0.0865618
Bermuda	0.0859012
Colombia	0.085658
Florida	0.0855855
Midwest	0.0855262
Jamaica	0.0853674
"Pacific Rim"	0.0853564
"Middle Eastern"	0.0846639
"South China Sea"	0.0841329
Hawaii	0.0826426
"Red Sea"	0.0825199
"Atlantic Ocean"	0.0820494
"Florida Keys"	0.0817669
"Black Sea"	0.0815651
Scandinavia	0.0811684
"United States"	0.0810034
"Central Asia"	0.080147
"New England"	0.0801242
"South American"	0.0796773
"Eastern European"	0.079224
Australia	0.0783179
Nicaragua	0.0778265
"North African"	0.0775361
Panama	0.0773159
"Southern California"	0.0762103
Northeast	0.0760631
Haiti	0.0754433
"western hemisphere"	0.0744012
"South Asia"	0.0739306
Cuba	0.073877
"South Africa"	0.0734587
ocean	0.072777
China	0.0727079
"Pacific Northwest"	0.0724962
"Baltic Sea"	0.0722625
"European country"	0.0718838
"North Carolina"	0.0718519
Barbados	0.071513
"North Atlantic"	0.0712522
Texas	0.0711899
"South Florida"	0.0711107
Japan	0.071106
Adriatic	0.0703303
Venezuela	0.0702712
Balkans	0.0699835
Mideast	0.0697342
Asia-Pacific	0.0692728
"New Zealand"	0.0691815
"Third World"	0.0690719
India	0.06892
Italy	0.0688491
"West Indian"	0.0687399
mainland	0.0685404
Asian	0.0684499
Philippines	0.0677875
coast	0.0677022
"Bay of Bengal"	0.0676755
Hawaiian	0.0676647
Brazil	0.0675652
Louisiana	0.0672947
Ecuador	0.0670135
"Asian country"	0.0669323
Guatemala	0.0669261
Bangladesh	0.0668844
countryside	0.0668042
plain	0.0667498
France	0.0666514
"Costa Rica"	0.066505
America	0.0661854
Bolivia	0.0655856
west	0.065567
sea	0.0653769
Oklahoma	0.0652683
Spain	0.0652681
Georgia	0.06526
"southern hemisphere"	0.0650804
"U.S. Virgin Islands"	0.0648579
subcontinent	0.0645766
African	0.0645528
Peru	0.0641635
"West African"	0.0638309
Belize	0.0638266
"Asia Pacific"	0.0638117
CANCUN	0.063754
Thailand	0.0637411
"Virgin Islands"	0.063642
"Asian nation"	0.0633551
Taiwan	0.0631198
"Soviet Union"	0.0629798
south	0.0628925
England	0.0628452
Siberia	0.0628294
Antarctica	0.0627701
Maine	0.0626641
"Gulf Coast"	0.0626478
Kenya	0.0625939
Ireland	0.0625509
"African nation"	0.0625097
central	0.0622668
"Central American country"	0.0622186
Chile	0.0621545
"Hong Kong"	0.0618799
Greece	0.061839
"Commonwealth of Independent States"	0.0617979
Russia	0.0617532
"Las Vegas"	0.0616442
continent	0.0616344
"African country"	0.061527
Switzerland	0.0614742
"East Coast"	0.0612899
"Aegean Sea"	0.0612618
"New York"	0.0610491
"Central Asian"	0.0606754
"United Kingdom"	0.0605328
east	0.0604464
"South Korea"	0.0602857
Arctic	0.0602351
Egypt	0.0599272
"Central Europe"	0.0597968
Caucasus	0.0597731
valley	0.0596511
hemisphere	0.0592712
Turkey	0.0592307
Luzon	0.0591305
"North American"	0.0591
"Sri Lanka"	0.059095
"South American country"	0.0589693
"European Union"	0.0588247
"West Coast"	0.0588027
"New Jersey"	0.0587942
Singapore	0.0587693
"North Sea"	0.0587251
"Near East"	0.0586456
"European nation"	0.0586009
southeast	0.0585497
"Mediterranean Sea"	0.0584711
"New Mexico"	0.058051
Albania	0.0579777
Mississippi	0.0579299
"British Columbia"	0.0578994
Antigua	0.057897
harbor	0.0578862
Afghanistan	0.0576942
north	0.0575797
"Papua New Guinea"	0.0575115
Iceland	0.0574772
seaboard	0.0573335
"South Asian"	0.0572204
province	0.0571572
Virginia	0.057063
"Middle West"	0.0570489
Hungary	0.0570233
Congo	0.0567627
Iowa	0.0567591
Germany	0.0567049
Poland	0.0565302
"Southeast Asian"	0.0565142
Hokkaido	0.0562843
Mozambique	0.056265
Missouri	0.056249
))
("Caribbean Community" (desc 2620.35) (sims
"Economic Cooperation Organization"	0.182575
"Southern Africa Development Community"	0.181314
"South Pacific Forum"	0.180443
eco	0.17465
"Southern African Development Community"	0.166687
"Asia-Pacific Economic Cooperation"	0.159628
"Rio Group"	0.157718
"East African Cooperation"	0.155462
"Organization of Islamic Conference"	0.152706
"Organisation of African Unity"	0.147638
"Andean Community"	0.14716
"Group of Rio"	0.145823
"Council of Europe"	0.145272
OIC	0.14381
G-@@	0.141462
"Non-Aligned Movement"	0.138587
"Economic Community"	0.13756
"Organization for Economic Cooperation and Development"	0.135536
"Association of Southeast Asian Nations"	0.135527
SADC	0.135375
"Asia Pacific Economic Cooperation"	0.135052
"Economic Community of West African States"	0.130801
"Common Market for Eastern and Southern Africa"	0.129358
"South Asian Association for Regional Cooperation"	0.128517
"Group of Seven"	0.12781
"Commonwealth of Independent States"	0.127007
COMESA	0.125834
"Group of @@"	0.125486
"Nahdlatul Ulama"	0.122381
ECOWAS	0.121717
OECD	0.116703
"Gulf Cooperation Council"	0.115294
SAARC	0.113721
"Warsaw Pact"	0.112127
"Group of Eight"	0.111696
"Organization of Petroleum Exporting Countries"	0.111063
IGAD	0.108553
CMAG	0.107896
"ASEAN Secretariat"	0.107599
"Western European Union"	0.10717
"Meretz Party"	0.105978
GCC	0.105752
"Organization of American States"	0.105655
AmCham	0.105457
sub-regional	0.104534
OAU	0.103471
EAC	0.102765
"Common Market"	0.101422
IPU	0.101296
"Arab League"	0.10122
NSC	0.100213
"Organization for Security and Cooperation in Europe"	0.0999165
D-@	0.0997685
G-@	0.0997246
OSCE	0.099532
"Inter-Governmental Authority on Development"	0.0992526
ASEAN	0.0989595
"Congressional Black Caucus"	0.0989311
Ci	0.0983821
"Organization of African Unity"	0.0978233
Mercosur	0.0973441
commonwealth	0.0952826
"Islamic Jihad"	0.0943644
"PLO Executive Committee"	0.0935656
G@@	0.0934043
ACP	0.0920023
"House International Relations Committee"	0.0919985
"International Red Cross"	0.0919295
SDP	0.0906041
"Supreme Council"	0.0897257
"Arab Parliamentary Union"	0.0894838
ASEM	0.0891323
"Congress Working Committee"	0.0888624
"House Budget Committee"	0.087555
"New Aspiration Party"	0.0874787
NDP	0.0873039
"State Peace and Development Council"	0.0871705
"North Atlantic Treaty Organization"	0.0866579
"Executive Committee"	0.086584
"Inter-Parliamentary Union"	0.085863
"Banking Committee"	0.0855414
"Iraqi National Congress"	0.0854419
"Democratic Left Party"	0.0844591
"Cuban American National Foundation"	0.0841366
"Amnesty International"	0.0834297
"Rules Committee"	0.0833308
"Russian Communist Party"	0.0832021
"European Community"	0.0828753
Yabloko	0.0813291
"Palestinian Council"	0.0812043
PATA	0.0811217
NRM	0.0810428
KKK	0.0808862
"National Democratic Alliance"	0.0807277
NAM	0.0804013
"Muslim Brotherhood"	0.0803913
RCD	0.0803263
"National Council of Churches"	0.0795138
"Shas Party"	0.0793555
"World Tourism Organization"	0.0791389
"Democratic Unionist Party"	0.0790452
"United Nations Conference"	0.0787476
"Senate Appropriations Committee"	0.0787473
"Latin American"	0.0786268
"Rwandan Patriotic Front"	0.078258
CMC	0.0782332
E.U	0.0782027
"Canadian Alliance"	0.0781005
"Securities Industry Association"	0.0780551
"Senate Governmental Affairs Committee"	0.0780308
"Great Lakes Region"	0.0778329
Koreas	0.0777277
UPC	0.0776646
Mensa	0.077531
"Paris Club"	0.0775212
"ASEAN Regional Forum"	0.0774543
"steering committee"	0.077066
JMC	0.0770407
KEDO	0.0769517
NDA	0.0768644
"World Jewish Congress"	0.0767661
OPEC	0.0766628
"House Banking Committee"	0.0764054
CITES	0.0764006
"China Society"	0.0760571
ESCAP	0.0758653
"Central American country"	0.0757406
"International Society"	0.0754989
CPLP	0.0753469
pan-Arab	0.0752244
Amal	0.0749706
"Democratic Alliance"	0.0746333
"Democratic Leadership Council"	0.074442
"China Youth Development Foundation"	0.0743136
"United National Independence Party"	0.0741953
"Senate Budget Committee"	0.0740797
YankeeNets	0.073951
"District Council"	0.0737135
organisation	0.0736835
"African National Congress"	0.0736552
"Radical Party"	0.0735015
"National Association of Securities Dealers"	0.0734569
SPDC	0.0727284
"Australian Olympic Committee"	0.0726945
"Asia-Europe Meeting"	0.0725522
APEC	0.0724148
"Commerce Committee"	0.0722099
UUP	0.0721704
"Palestine National Council"	0.0721009
"Real IRA"	0.0718285
"Business Council"	0.0713164
"Olympic Council of Asia"	0.0710773
"Center Party"	0.0710488
DAP	0.0709478
"UN Security Council"	0.0705984
"House Appropriations Committee"	0.0704753
"Atomic Energy Commission"	0.0701601
"Social Democratic"	0.0700753
"Palestine Liberation Organization"	0.0698938
"Provisional Ruling Council"	0.0698004
Interpol	0.0697225
"National Council of La Raza"	0.0695532
"search committee"	0.0695456
"Guardian Council"	0.0693454
"European Council"	0.0692021
PDI	0.0691831
CCPIT	0.0691559
"popular front"	0.069099
"Damascus Declaration"	0.0690961
"Islamic Movement"	0.0686799
"Promise Keepers"	0.0684852
"Nationalist Party"	0.068084
"Public Service Commission"	0.0680494
UPU	0.0679614
G@	0.0678539
"EU Commission"	0.0678001
"CPPCC National Committee"	0.0677242
FORD-Kenya	0.067609
interagency	0.067605
"Socialist Party"	0.0676028
ARF	0.067446
"National Economic Council"	0.0673874
"Badminton Association of Indonesia"	0.0673335
"Dhaka Stock Exchange"	0.0672531
DSE	0.0671937
"North Atlantic Council"	0.0671375
KNU	0.0671003
"State Flood Control"	0.0669758
"National Council"	0.066807
"Log Cabin Republicans"	0.0667603
"Independence Party"	0.0666216
"Liberation Front"	0.066578
"Democratic Front"	0.0665177
"Andean Group"	0.0665137
OAS	0.0664913
UNIP	0.0664663
"Russian Orthodox Church"	0.0662823
Arab-American	0.0662329
MMD	0.0662052
Lakas	0.0661484
))
("Caribbean Sea" (desc 2524.55) (sims
"Aegean Sea"	0.124196
Aegean	0.115693
"Gulf of Mexico"	0.107546
Caribbean	0.106558
"Yellow Sea"	0.10623
"Mediterranean Sea"	0.100283
"Atlantic Ocean"	0.097673
"South China Sea"	0.0917826
"Indian Ocean"	0.0873531
"Red Sea"	0.0821334
"Sea of Japan"	0.0796492
Mediterranean	0.0788367
"Southern Ocean"	0.0759421
"North Sea"	0.0725063
"East China Sea"	0.0704978
"Bay of Bengal"	0.069217
"Arabian Sea"	0.0691428
"Persian Gulf"	0.0633361
"Pacific Ocean"	0.0616348
"South Pacific"	0.0613049
seaboard	0.0587256
"Manila Bay"	0.0581804
"South Atlantic"	0.0560075
"Adriatic Sea"	0.0553151
"North Atlantic"	0.0552087
"Yucatan Peninsula"	0.0540173
"rough water"	0.0514544
"Arctic Ocean"	0.0500812
"Florida Straits"	0.0499764
"Black Sea"	0.0490563
"Chesapeake Bay"	0.0486452
"small boat"	0.0483399
Kyushu	0.0479401
quadrant	0.0464839
"Far East"	0.0459524
"West Africa"	0.045111
"Long Island Sound"	0.0448193
crevasse	0.0426864
"Baltic Sea"	0.0425956
Andes	0.0419698
"territorial water"	0.0419099
"New Territories"	0.0417308
"Western Desert"	0.0414722
"English Channel"	0.0413701
"Free State"	0.0410028
"Suzhou Industrial Park"	0.040663
))
(caribou (desc 3593.56) (sims
elk	0.205556
"bighorn sheep"	0.153393
deer	0.14595
moose	0.122658
walrus	0.119511
bison	0.113705
"black bear"	0.108649
"mountain lion"	0.107939
squirrel	0.106093
waterfowl	0.103253
whale	0.10008
otter	0.098911
pheasant	0.0972008
"wild boar"	0.0910818
"sea lion"	0.0877504
antelope	0.0852235
elephant	0.0843427
yak	0.0842637
Makah	0.082083
reindeer	0.0815918
gazelle	0.0804411
wolf	0.0773051
tortoise	0.0744018
cow	0.0741195
goat	0.0720906
geese	0.0717785
turtle	0.0715945
venison	0.0702057
pig	0.0699303
reptile	0.0695428
rabbit	0.0694484
porpoise	0.068856
alligator	0.0682069
ox	0.0679017
raccoon	0.0672948
P-@	0.0664412
oxen	0.0652762
sheep	0.0640701
boar	0.0634855
gerbil	0.0630246
zebra	0.0623726
"gray whale"	0.0618484
"sea turtle"	0.0612261
"blue crab"	0.0608513
mastodon	0.0605789
"gray wolf"	0.0600084
osprey	0.0596362
wildlife	0.0592812
bobcat	0.0591046
alpaca	0.0582508
lizard	0.0574942
llama	0.0573085
heifer	0.0571473
quail	0.0570887
"humpback whale"	0.0569485
scavenger	0.056308
mammal	0.0560635
hippo	0.0555667
camel	0.0544153
chimpanzee	0.0541668
Bighorn	0.0539271
possum	0.0538001
goose	0.0537243
"prairie dog"	0.0536501
kangaroo	0.0531573
crocodile	0.0529354
seabird	0.0527065
armadillo	0.0523671
"minke whale"	0.0519836
monkey	0.0518382
Il-@@	0.051376
"wild horse"	0.0512106
"sea otter"	0.0509064
porcupine	0.0507004
poultry	0.0491352
rodent	0.0487867
giraffe	0.0486822
shellfish	0.0485827
rhino	0.048466
dove	0.0479853
Inuit	0.047784
mink	0.0476671
owl	0.0475376
mule	0.0470513
sturgeon	0.0468401
"Airbus @@@"	0.0466472
humpback	0.046036
crab	0.0459716
ostrich	0.0458106
"grizzly bear"	0.0454617
trout	0.0452584
chimp	0.0452095
fawn	0.0450487
frog	0.0449701
"sea cucumber"	0.0447949
"Air France Concorde"	0.0447376
loon	0.0446856
Eskimo	0.0446353
"marine animal"	0.0445292
bluefin	0.0444981
dragonfly	0.0444166
mainlanders	0.0443244
minnow	0.0442511
wildcard	0.0442074
"polar bear"	0.0440516
"water buffalo"	0.0440242
Buffaloes	0.0439204
turboprop	0.0437418
chipmunk	0.0436472
stealth	0.0435808
"animal product"	0.0432361
"bald eagle"	0.0430194
flamingo	0.0429284
truffle	0.0427858
egret	0.0426674
"golden eagle"	0.0423002
"sea bird"	0.0420834
swan	0.0418253
sparrow	0.0415366
"monarch butterfly"	0.0410862
"Airbus A@@@"	0.0410375
"Cessna @@@"	0.0409898
amphibian	0.0408903
Firefly	0.0405809
Bhutanese	0.0404494
vertebrate	0.0401691
AWACS	0.0401363
leopard	0.0401305
))
(caricature (desc 16455.1) (sims
portrait	0.0834757
parody	0.0798742
stereotype	0.0791596
portrayal	0.0779531
cliche	0.0763704
sketch	0.0737875
cartoon	0.0673995
archetype	0.0659933
skit	0.0654764
satire	0.0651788
impersonation	0.0631275
cutout	0.0614222
depiction	0.0595814
drawing	0.057538
farce	0.0562229
humor	0.0561418
joke	0.0559455
biography	0.0558257
sendup	0.0555526
irrelevance	0.0543474
poster	0.0532258
fantasy	0.0530318
spoof	0.052715
spectacle	0.0526924
characterization	0.0524006
photo	0.0519836
likeness	0.0519042
comedy	0.0507714
tale	0.0507593
silhouette	0.0507377
persona	0.0504623
profile	0.0500386
illustration	0.0499981
slapstick	0.049439
contrivance	0.049203
prankster	0.0488772
eccentric	0.0488397
effigy	0.0483717
impression	0.0477225
icon	0.0472585
puppet	0.0470437
"comic strip"	0.0469951
antic	0.0468812
cuteness	0.0458939
monster	0.045559
"home movie"	0.0450584
newsreel	0.0449447
clone	0.0446539
melodrama	0.0443307
symbol	0.0442385
villain	0.0442165
essay	0.0441282
clown	0.0441025
fable	0.043949
sidekick	0.0438249
costume	0.0435277
"name calling"	0.0435196
"oil painting"	0.0434531
Superman	0.0434456
perception	0.0430751
critique	0.042997
"soap opera"	0.0428168
"sight gag"	0.0427514
exaggeration	0.0426366
gag	0.0425431
snapshot	0.0425098
description	0.0423907
"mirror image"	0.0422871
imagery	0.0419581
superhero	0.0418962
personality	0.0418493
comic	0.0417434
comedian	0.041587
superheroes	0.0414175
rendering	0.0412097
animation	0.0411548
hatred	0.0410449
abstraction	0.0408007
buffoon	0.0406643
anecdote	0.0406229
mannequin	0.0405886
creature	0.0404509
antihero	0.0402403
sentimentality	0.040221
subplot	0.0401984
))
(Caritas (desc 1195.65) (sims
"World Vision"	0.375506
Oxfam	0.348847
"International Rescue Committee"	0.176347
"Nahdlatul Ulama"	0.145643
"Families USA"	0.140065
Mossad	0.137878
"Judicial Watch"	0.137601
Interpol	0.131917
"Public Citizen"	0.115496
UNICEF	0.115437
"Cuban American National Foundation"	0.114259
"Log Cabin Republicans"	0.113769
"Common Cause"	0.111122
Greenpeace	0.110357
"Health Care Financing Administration"	0.109346
UNAIDS	0.106457
"Human Rights Watch"	0.105433
"Operation Lifeline Sudan"	0.104621
"Russian Space Agency"	0.103313
"Center on Budget"	0.100649
"Federal Emergency Management Agency"	0.100016
"Project Hope"	0.0997086
"Democratic Leadership Council"	0.097393
"Amnesty International"	0.0971806
"Catholic Charities"	0.0951524
"World Jewish Congress"	0.0946208
"Handgun Control"	0.0945576
"New York Civil Liberties Union"	0.0940957
"Violence Policy Center"	0.0938712
catechism	0.0930592
"Human Rights Campaign"	0.09226
"Atomic Energy Commission"	0.0905737
"U.S. Immigration and Naturalization Service"	0.089076
ADL	0.0887824
"Transparency International"	0.0879564
Otpor	0.0878702
"National Institutes of Health"	0.0871256
"National Council of Churches"	0.0870962
"World Church"	0.0865655
"Defense Agency"	0.0861457
"Equal Employment Opportunity Commission"	0.0859582
"Civil Aviation Authority"	0.0859044
"Electronic Privacy Information Center"	0.0857398
"Pew Research Center"	0.0851861
"State Flood Control"	0.0849133
"Field Poll"	0.0847456
GOPAC	0.0844303
UNHCR	0.0840351
FSB	0.0835888
counterterrorism	0.0830014
"Family Research Council"	0.0828305
"International Finance Corporation"	0.0825382
"Rainbow/PUSH Coalition"	0.0824065
USAID	0.0823458
AARP	0.0822072
Nepa	0.0821881
"civil defense"	0.0815854
MI@	0.08158
"Center for Responsive Politics"	0.0815707
"National Abortion and Reproductive Rights Action League"	0.081141
FALN	0.0809959
"Atlanta Committee"	0.0809325
McCann-Erickson	0.0807199
"National Highway Traffic Safety Administration"	0.0804339
"U.N. Development Program"	0.0802286
"Pipeline Safety"	0.079996
WFP	0.0799793
"National Republican Congressional Committee"	0.079769
"Handgun Control Inc."	0.0795363
"Kosovo Verification Mission"	0.0787864
"Department of Public Health"	0.0786455
"Health and Human Services Department"	0.0786429
"personnel department"	0.0782449
"National Council of La Raza"	0.078192
"World Food Program"	0.0779283
"Shin Bet"	0.0776596
"Federal Security Service"	0.0772948
"Investors Service"	0.0766731
"Anti-Defamation League"	0.0763921
"Iraqi National Congress"	0.0760287
"Russian Security Council"	0.0754983
"National Economic Council"	0.0751986
"U.S. Census Bureau"	0.0750885
"Air Transport Association"	0.074837
"State Bureau of Environmental Protection"	0.0746063
"Political Department"	0.0743947
prelate	0.0740808
"Urban Institute"	0.0736881
"American Jewish Committee"	0.0734702
"Audubon Society"	0.0731174
Elf-Aquitaine	0.0730458
"American Association of Retired Persons"	0.0727841
"Agency for International Development"	0.0725351
"Operation Rescue"	0.0716261
layman	0.0712936
"International Red Cross"	0.0711708
"American Petroleum Institute"	0.0707525
"Cable &AMP; Wireless"	0.0706034
"State Seismological Bureau"	0.0705243
"U.N. High Commissioner for Refugees"	0.0705021
"U.N. World Food Program"	0.0702161
"Macao Government"	0.0700733
"Serbian Orthodox Church"	0.0696704
"religious order"	0.069492
Arianespace	0.0694692
Moody's	0.0694203
UNRWA	0.0692619
"Information Center"	0.0692339
"Presidential Office"	0.0686666
"Democratic Senatorial Campaign Committee"	0.067882
Notimex	0.0678187
"Heritage Foundation"	0.0676671
"Wine Institute"	0.0674677
Pemex	0.0673298
"State Bureau of Cultural Relics"	0.067071
"State Administration of Foreign Exchange"	0.0668391
"National Science Foundation"	0.066756
Eni	0.0661943
"League of Conservation Voters"	0.0659759
"National Academy of Sciences"	0.0658511
"Democratic Action"	0.0656554
"Christian Coalition"	0.065376
"Fallon McElligott"	0.0651396
"U.S. Environmental Protection Agency"	0.0650257
idling	0.0649115
"State Administration of Taxation"	0.0648954
"Agriculture Ministry"	0.0648242
"Drug Enforcement Administration"	0.0648123
"Census Bureau"	0.0643189
"Organization Department"	0.0642135
"Economic Planning Agency"	0.0641299
"American Red Cross"	0.0639746
Eurostat	0.0639487
"Center for Democracy"	0.0635977
"United Nations High Commission for Refugees"	0.0635882
"U.N. Office"	0.063526
AFL-CIO	0.0634049
"American Civil Liberties Union"	0.0632696
"American Bankers Association"	0.0629332
"Consumers Union"	0.0623382
"Criminal Investigation Department"	0.0620986
"National Education Association"	0.0619019
TrustE	0.0617691
"District Council"	0.0615228
liturgy	0.0614933
"Federal Highway Administration"	0.0614685
"Conference Board"	0.0613929
ICM	0.0611023
"Department of Public Safety"	0.0610223
"Liaison Office"	0.0609905
"Volvo AB"	0.0605351
"Electronic Frontier Foundation"	0.0604817
"Health Department"	0.0604247
"Publicity Department"	0.0603504
"National Research Council"	0.0603047
"Recording Industry Association of America"	0.0600452
"American Association of Health Plans"	0.060035
"United Nations Children's Fund"	0.0598846
"National Intelligence Service"	0.0596658
"Center for Strategic"	0.0595264
"General Security Service"	0.0592191
"National Democratic Alliance"	0.0590871
"Fannie Mae"	0.058942
"Immigration and Naturalization Service"	0.0589074
"U.S. Fish and Wildlife Service"	0.0584895
"Democratic Congressional Campaign Committee"	0.0584371
"National Association"	0.0583853
"Office of Management and Budget"	0.0583597
Mensa	0.058258
"Congressional Budget Office"	0.0581122
"grammar school"	0.0580309
IFC	0.0578905
"General Accounting Office"	0.0577877
"Ministry of International Trade and Industry"	0.0576365
ILO	0.0574468
"National Transportation Safety Board"	0.0574362
"International Labor Organization"	0.0574276
"Islamic Jihad"	0.0573936
"National Park Service"	0.0573415
UNESCO	0.0572959
DMV	0.0572061
"Business Council"	0.057123
MSF	0.0571062
"Export-Import Bank"	0.0569865
"Australian Olympic Committee"	0.056903
orphanage	0.0568463
"National Marine Fisheries Service"	0.0567008
"Promise Keepers"	0.0565871
"Southeastern Legal Foundation"	0.0563097
"Services division"	0.0561428
"Public Affairs"	0.055933
"over @.@@ million"	0.0558561
"National Association of Securities Dealers"	0.0557758
"International Civil Aviation Organization"	0.0557668
"Saatchi &AMP; Saatchi"	0.0557591
ICRC	0.0555867
"Congressional Research Service"	0.0555203
Skoda	0.0554206
SEPA	0.0554105
"Standard &AMP; Poor"	0.0553994
))
(carjackings (desc 1715) (sims
"armed robbery"	0.168695
break-in	0.150531
hijacking	0.14336
holdup	0.14001
burglary	0.138506
mugging	0.136891
larceny	0.136765
arson	0.127121
robbery	0.119228
"grand larceny"	0.115546
kidnapping	0.112478
"sexual assault"	0.109974
blackmail	0.108716
vandalism	0.107233
extortion	0.0996651
homicide	0.0996059
abduction	0.097412
looting	0.0958177
sodomy	0.0953166
hostage-taking	0.0932814
"mass murder"	0.0780963
shoplifting	0.078006
burnings	0.0767291
"resisting arrest"	0.0764641
manslaughter	0.0763291
endangerment	0.0755338
gunplay	0.075128
rustling	0.0744374
swindle	0.074384
"child abuse"	0.0736433
banditry	0.073419
prostitution	0.0726261
heist	0.0725992
"British people"	0.0713878
putsch	0.0706911
intimidation	0.069427
pillage	0.0689095
piracy	0.0677181
forgery	0.0674625
drownings	0.0673294
lynching	0.0657813
"take-home pay"	0.0651743
"price cutting"	0.0634008
"drug case"	0.0620762
"earnings disappointment"	0.0619983
"dog bite"	0.0617875
"drug sale"	0.0615932
stabbings	0.0614503
"end run"	0.060829
"false imprisonment"	0.0600473
shootouts	0.0599615
mega-mergers	0.0598844
subjugation	0.0588586
maiming	0.0585966
"bank failure"	0.0585733
"stolen property"	0.0585526
stalking	0.0574009
subversion	0.0569644
treason	0.0567155
poisoning	0.0562311
bribery	0.0560673
"drive-by shooting"	0.0559155
"drug traffic"	0.0558842
examinees	0.0555386
rollovers	0.055443
enslavement	0.0548103
embezzlement	0.0542578
molestation	0.0539045
probationer	0.0528351
sectarianism	0.0522681
racketeering	0.0520737
lateral	0.0516173
"fatal accident"	0.0511774
"tax income"	0.0500619
eighth-graders	0.0497528
lawlessness	0.0496916
"Human Immunodeficiency Virus"	0.0496737
tranquilizer	0.0487398
MDMA	0.0480219
"coup attempt"	0.0477667
"Asian Americans"	0.0477055
test-takers	0.0473537
offence	0.047138
pogrom	0.0471276
mutilation	0.0465006
in-fighting	0.0462042
pickoff	0.0455832
improv	0.0454907
"absentee ballot"	0.0453257
Stealers	0.0452725
"gross income"	0.0450625
"disorderly conduct"	0.0449484
misappropriation	0.0448381
C-section	0.0447108
Bighorn	0.0447006
gunrunning	0.0446072
nonwhites	0.0445106
"Islamic Welfare Party"	0.0443262
CCE	0.0439691
misrule	0.0437122
Beijingers	0.0434856
fieldwork	0.0434127
megamergers	0.0431807
thuggery	0.0431376
flogging	0.0429243
ZDNet	0.0427164
"juvenile delinquency"	0.0424866
mainlanders	0.0423681
sedition	0.0422932
"blood donor"	0.0422666
CPR	0.0421857
forceout	0.0420911
"hostile takeover"	0.0420615
deafness	0.0420357
Anglos	0.0419617
eviction	0.0419584
amputation	0.0419133
registrant	0.0418765
"enforcement action"	0.041736
Ibarra	0.0415405
intercourse	0.0411323
falsification	0.0408559
non-Jew	0.0407229
criminality	0.0406859
"Balkan Wars"	0.0406613
Asian-Americans	0.0405988
gamers	0.0405328
sixth-graders	0.0405224
victimization	0.0404935
non-Social	0.040293
inpatient	0.040118
))
(Carl (desc 7625.94) (sims
Brian	0.129097
Alan	0.124162
Tim	0.121296
Roger	0.120944
Steve	0.119673
Steven	0.117624
Neil	0.117493
Edward	0.11736
Jeff	0.117305
Chris	0.117041
Michael	0.116684
Jim	0.115604
Anthony	0.113559
Ben	0.112595
Gerald	0.112467
Kenny	0.112051
Paul	0.111625
Ronald	0.109793
tom	0.109018
Joe	0.108415
Jeremy	0.10761
Gary	0.106887
David	0.106846
Walter	0.105798
Ted	0.105399
mike	0.104814
Juan	0.104604
Kevin	0.104327
Patrick	0.104118
Dave	0.103894
Robert	0.103753
Jeb	0.103524
Danny	0.103364
John	0.103163
Larry	0.102285
Darren	0.10221
Randy	0.10201
Greg	0.101704
Terry	0.101189
Theo	0.100971
Eddie	0.100733
Peter	0.100146
Bruce	0.100125
Bobby	0.0994644
Eric	0.0992202
Ralph	0.0991471
Phil	0.0990409
Karl	0.0989565
Jason	0.0983651
Fred	0.0972836
Joel	0.0958337
Jerry	0.0954093
Keith	0.0950437
Marty	0.0949779
Frank	0.0935169
Brett	0.0931963
Barry	0.0929364
Dennis	0.0927724
Dan	0.0924868
Gerard	0.0922062
Daniel	0.0921729
Evan	0.0918455
Richard	0.0915217
Ramon	0.0914057
Jamie	0.0911042
Jonathan	0.091025
William	0.0907675
Andrew	0.0905874
Reggie	0.0904896
Josh	0.0899998
Andy	0.0897647
Rick	0.0895016
Samuel	0.0891572
Shawn	0.0884276
Charles	0.0883361
Adrian	0.0872704
Ron	0.0872312
BOB	0.0866349
Ed	0.0863596
Christopher	0.0863073
Adam	0.086279
Jimmy	0.0859073
Tony	0.0855278
Derek	0.0855261
Wayne	0.0850353
Alex	0.0844786
Carlos	0.0839664
Matthew	0.0838843
Scott	0.0834873
Bryan	0.0834076
Marcus	0.0831984
Stephen	0.0831824
Ken	0.0830529
Kenneth	0.0829238
Sam	0.0827973
"Al Joyner"	0.0827375
don	0.0826339
Justin	0.0825422
Albert	0.0823924
Phillip	0.082119
matt	0.0820995
Miguel	0.0814391
Todd	0.0813209
Byron	0.0813053
Manuel	0.0811692
Hugh	0.0808538
Wyatt	0.0807418
Jake	0.0806754
Louis	0.0806131
Mahoney	0.0804669
Stahl	0.0803824
Benjamin	0.0801978
Doug	0.0798276
Jon	0.0797405
Vladimir	0.0796744
Philip	0.0793824
Gregory	0.0793691
Julian	0.0793668
"Earl Spencer"	0.0791907
Joey	0.0791174
Ernie	0.0790873
Jacob	0.0789193
Brad	0.0788995
Billy	0.0787571
Arthur	0.0787014
Bernard	0.0783168
Andrei	0.078293
"George W."	0.0782315
Leo	0.0781564
Harold	0.0781407
nick	0.0780516
Ian	0.0780194
Nicholas	0.0780059
Roberto	0.0777592
Sean	0.077342
Antonio	0.0773165
jay	0.0772262
James	0.0770808
Raymond	0.0770693
Maurice	0.0770483
Marvin	0.0768992
Travis	0.0768615
Joshua	0.0767834
Trevor	0.0767819
Burke	0.0766933
Jose	0.0765036
Andre	0.0763433
George	0.0758982
Charlie	0.0755776
Arnold	0.0748744
Pete	0.0747256
Hans	0.0745441
Jeffrey	0.0744118
Dominic	0.0740986
Vincent	0.0740344
Grasso	0.073987
Robbie	0.0739081
Stanley	0.0737496
Eli	0.0730239
"John Jr."	0.072891
Joseph	0.0728607
Johnny	0.0727879
Marc	0.0727599
dick	0.0724565
A.J	0.0723927
Kyle	0.0723223
Roy	0.072286
Craig	0.0722521
Pedro	0.0719221
Harry	0.0718106
Mohammed	0.0713757
Jorge	0.0712141
dale	0.0712096
Mario	0.071181
Darryl	0.0711335
Gabriel	0.0709424
Aurelio	0.0708236
Nathan	0.0707971
Sergei	0.0706652
Ivan	0.0703718
Simon	0.070363
Alexander	0.0702819
Sammy	0.0701826
Willie	0.0701337
Allan	0.0701304
jack	0.0701298
Harvey	0.0698683
Lawler	0.0696248
Ryan	0.0691928
Denise	0.0691237
Brandon	0.0690584
Randall	0.0690125
Gilbert	0.0688897
Percy	0.0688822
Aaron	0.0687347
Ricky	0.0686247
"Asif Ali Zardari"	0.0684386
Cowan	0.068294
Shane	0.0682792
Henley	0.0682636
))
("Carl Bildt" (desc 3293.27) (sims
"Robert Gelbard"	0.306015
"Carlos Westendorp"	0.286201
"Richard C. Holbrooke"	0.241006
"Christopher Hill"	0.225964
"Victor Chernomyrdin"	0.223732
"Wolfgang Petritsch"	0.212648
"Lakhdar Brahimi"	0.206808
"Richard Holbrooke"	0.186688
"Dennis Ross"	0.184352
"Charlene Barshefsky"	0.180188
"Faisal Husseini"	0.171419
"Vladislav Jovanovic"	0.160634
"George Mitchell"	0.156985
"Hans von Sponeck"	0.154039
Bildt	0.153323
"Viktor Chernomyrdin"	0.146348
"Sergio Vieira de Mello"	0.143864
"Qin Huasun"	0.136642
"Goran Persson"	0.135336
"Bizima Karaha"	0.134963
"Adem Demaci"	0.134289
"Long Yongtu"	0.13287
"Gulbuddin Hekmatyar"	0.132185
"Bernard Kouchner"	0.131067
"Mikulas Dzurinda"	0.127021
"Hashim Thaci"	0.126539
"Lokendra Bahadur Chand"	0.123355
"Bashkim Fino"	0.121411
"Jaswant Singh"	0.119439
"Anthony Lake"	0.11814
"Gro Harlem Brundtland"	0.118072
"Stuart Eizenstat"	0.117949
"Alija Izetbegovic"	0.117699
"Krishna Prasad Bhattarai"	0.117248
"Javier Solana"	0.11686
"Jeremy Greenstock"	0.116642
"Alexander Shokhin"	0.114362
"Tomiichi Murayama"	0.112767
"John Bruton"	0.112136
"Strobe Talbott"	0.11191
"Tim Fischer"	0.111684
"Anatoly Chubais"	0.111369
"Khaleda Zia"	0.110598
"Martti Ahtisaari"	0.10981
"Helen Clark"	0.106842
"Bill Richardson"	0.10454
"Milorad Dodik"	0.104216
Bhattarai	0.103837
"Sher Bahadur Deuba"	0.103637
"Necmettin Erbakan"	0.103367
"Wlodzimierz Cimoszewicz"	0.102341
"John Prescott"	0.102086
"Viktor Orban"	0.102012
"Ivan Kostov"	0.101799
"Chavalit Yongchaiyudh"	0.101186
"Yossi Sarid"	0.10093
"Vaclav Klaus"	0.0999524
"Noboru Takeshita"	0.0996627
"Lee Kuan Yew"	0.0990963
"Wolfgang Schaeuble"	0.0989861
"Aryeh Deri"	0.0988058
"Wang Yingfan"	0.0984575
Broek	0.0983093
"Ariel Sharon"	0.0970707
"Radovan Karadzic"	0.0964913
"Jenny Shipley"	0.0963905
Ahtisaari	0.0962525
"Leon Brittan"	0.0961983
"Lamberto Dini"	0.0958925
"William Hague"	0.0958458
"Jacques Santer"	0.0953174
"Tansu Ciller"	0.0952044
"Romano Prodi"	0.0951511
"Dave McGinnis"	0.09494
"Pascoal Mocumbi"	0.0937895
"Laurent Fabius"	0.0936729
"Saeb Erekat"	0.0917494
"David Duke"	0.0915298
"Felipe Gonzalez"	0.0914445
Lipponen	0.0907201
Chavalit	0.0903716
"Xanana Gusmao"	0.0901764
"H.D Deve Gowda"	0.0898501
"Valery Pustovoitenko"	0.0891284
"Benazir Bhutto"	0.0890571
"Mikhail Kasyanov"	0.0890319
"Rolf Ekeus"	0.0886962
"Li Zhaoxing"	0.0880181
"John Major"	0.0879717
"Joschka Fischer"	0.0876917
Brahimi	0.087478
"Martin McGuinness"	0.0873153
"Shimon Peres"	0.086909
"Joseph Bruno"	0.0868802
"Kiichi Miyazawa"	0.0867241
"Antonio Guterres"	0.0865072
"Ratko Mladic"	0.0863892
"Fatos Nano"	0.086359
"Jerzy Buzek"	0.085897
"Renato Ruggiero"	0.0858724
"Richard Gephardt"	0.0858401
"Milos Zeman"	0.0856568
"Wim Kok"	0.0854599
"Ibrahim Rugova"	0.0853454
"Yevgeny Primakov"	0.0852937
"Nabil Shaath"	0.0851473
"Fehmi Agani"	0.0848486
"Vo Van Kiet"	0.0847577
Buthelezi	0.0846417
"Kim Yong Nam"	0.084635
Chand	0.0843573
"Hans Blix"	0.0840813
"Ieng Sary"	0.0832425
"Hanan Ashrawi"	0.0829385
"Natan Sharansky"	0.082926
"Vojislav Seselj"	0.0828889
"Atal Behari Vajpayee"	0.0828448
"Atef Obeid"	0.0826584
"Secretary General Esmat Abdul-Meguid"	0.0819082
"Tang Jiaxuan"	0.0817788
"William Perry"	0.0817551
Beye	0.0813714
Erbakan	0.081114
"Louis Farrakhan"	0.0809212
"Julius Nyerere"	0.0800958
"Massimo D'Alema"	0.0800559
"Vuk Draskovic"	0.0800029
"Rich Brooks"	0.0798795
Fino	0.0797138
"Qian Qichen"	0.0792987
"Nur Misuari"	0.0787707
Koirala	0.0787361
"Abu Mazen"	0.0786984
"Gennady Zyuganov"	0.0786773
"Pandeli Majko"	0.0785554
"Than Shwe"	0.0784943
Schuessel	0.0784925
"Fayez Tarawneh"	0.0784671
"Radu Vasile"	0.0782528
"Yitzhak Mordechai"	0.0779583
"Amien Rais"	0.0779477
"Sergei Stepashin"	0.077473
"Keizo Obuchi"	0.077136
"Alain Juppe"	0.0770405
"Seamus Mallon"	0.0770072
Gurirab	0.0769949
Sahnoun	0.0769828
"Silvio Berlusconi"	0.076678
"Zoran Djindjic"	0.0766089
"Amnuay Virawan"	0.0765855
"Frederick Sumaye"	0.0764349
"Brian Billick"	0.0764089
"Andreas Papandreou"	0.0762595
"Howard Baker"	0.0762152
"Binyamin Netanyahu"	0.0757449
Deuba	0.0755941
"Mesut Yilmaz"	0.075583
"Rashid Dostum"	0.075577
"Bill Skate"	0.075439
"Goh Chok Tong"	0.0754098
"Bulent Ecevit"	0.075105
Baz	0.0750604
"Girija Prasad Koirala"	0.074955
"Abdul Salam Majali"	0.0747806
"John Anderson"	0.0744664
"Aslan Maskhadov"	0.0744019
"deputy foreign minister"	0.0743753
"Begum Khaleda Zia"	0.0743494
Shipley	0.0742183
"Boris Nemtsov"	0.0742145
"Yoshiro Mori"	0.0740759
Shaath	0.0738812
"Implementation Force"	0.0738071
"Mike Moore"	0.0737248
"Bertie Ahern"	0.0736817
Banharn	0.0734459
"Sergei Kiriyenko"	0.0734434
"Vladimir Zhirinovsky"	0.0734399
"Yukio Hatoyama"	0.0729179
"Yitzhak Molcho"	0.0728381
Holbrooke	0.0726692
Ecevit	0.0723562
"John Howard"	0.0722781
Nazarbayev	0.0720395
"President Lee Teng-hui"	0.0719133
Solana	0.0716277
"George Robertson"	0.0712108
"Franjo Tudjman"	0.0710412
"Ung Huot"	0.0708222
"Bernard Sanders"	0.0705825
"Rafik Hariri"	0.0705777
"Mahmoud Abbas"	0.0704866
"Roosevelt Johnson"	0.0702351
Prodi	0.0701314
"P.V Narasimha Rao"	0.0698636
Chuan	0.0696796
"Chuan Leekpai"	0.0692352
"Abdul Karim Kabariti"	0.0691358
"Jim Hodges"	0.0691251
"Yasser Abed Rabbo"	0.0690723
))
("Carl Everett" (desc 11783.2) (sims
"Craig Biggio"	0.258836
"Jeff Bagwell"	0.254625
"Richard Hidalgo"	0.250652
"Derek Bell"	0.24909
"Troy O'Leary"	0.24281
"Trot Nixon"	0.241848
"Jason Varitek"	0.239086
"Damon Buford"	0.231601
"Moises Alou"	0.228049
"Bill Spiers"	0.226308
"John Valentin"	0.225251
"Tony Eusebio"	0.220834
"Mike Stanley"	0.217202
"Jose Offerman"	0.213772
"Ken Caminiti"	0.210389
"Nomar Garciaparra"	0.208442
"Ricky Gutierrez"	0.208377
"Darren Lewis"	0.204889
"Dante Bichette"	0.196161
"Eric Owens"	0.188587
"Brian Daubach"	0.186021
"Bernie Williams"	0.185278
"Andruw Jones"	0.180768
Spiers	0.17904
"Scott Hatteberg"	0.175331
"Melvin Mora"	0.175066
"Butch Huskey"	0.173825
Bagwell	0.173617
"Tim Salmon"	0.172153
"Reggie Jefferson"	0.171469
"Lou Merloni"	0.170775
"Lance Berkman"	0.169359
"Geoff Jenkins"	0.169211
"Chad Curtis"	0.169154
"Devon White"	0.1683
"Darren Bragg"	0.168204
"Tony Batista"	0.167037
"Sean Berry"	0.166952
"David Bell"	0.165884
"Roger Cedeno"	0.165518
"Preston Wilson"	0.164459
"Ruben Rivera"	0.164023
"Matt Lawton"	0.16348
"Tim Bogar"	0.163113
Biggio	0.163088
"Marvin Benard"	0.161653
Offerman	0.161164
"Mark Kotsay"	0.160338
"Tino Martinez"	0.16017
"Johnny Damon"	0.159812
"Troy Glaus"	0.159641
"Carlos Beltran"	0.159616
Everett	0.159546
"Jay Bell"	0.159242
"Scott Brosius"	0.158794
"Bobby Abreu"	0.158465
"John Vander Wal"	0.158348
"Edgardo Alfonzo"	0.15832
"Chipper Jones"	0.157996
"Steve Finley"	0.157048
Rolen	0.156342
"Gerald Williams"	0.156159
Fullmer	0.155841
"Bruce Aven"	0.15572
"Jeff Kent"	0.155695
"Garret Anderson"	0.155623
"Shawn Green"	0.155274
"Mo Vaughn"	0.154552
"Jim Edmonds"	0.154234
"Rondell White"	0.153016
"Mike Cameron"	0.153007
"Tom Goodwin"	0.151942
"Ryan Klesko"	0.151183
"Jorge Posada"	0.150994
"Dean Palmer"	0.150583
"Quinton McCracken"	0.149648
"Kenny Lofton"	0.149019
"Mark Grudzielanek"	0.148928
Valentin	0.148633
"Vladimir Guerrero"	0.148533
Alfonzo	0.148075
"Kelly Stinnett"	0.148056
"David Segui"	0.147452
"Jim Leyritz"	0.147444
"Ellis Burks"	0.147186
"Benny Agbayani"	0.147067
Olerud	0.146705
"Alex Rodriguez"	0.146179
"Marquis Grissom"	0.145489
"Brad Ausmus"	0.145252
"Daryle Ward"	0.144342
Garciaparra	0.144123
"Greg Vaughn"	0.143887
"Ray Durham"	0.143814
"Mike Piazza"	0.143775
"Luis Gonzalez"	0.143508
Alou	0.143437
"Ken Griffey Jr."	0.14339
"Mike Sweeney"	0.14339
"Stan Javier"	0.14268
Daubach	0.142357
"Rusty Greer"	0.142222
Vidro	0.142093
"Scott Spiezio"	0.141282
"Robin Ventura"	0.141124
"Gary Sheffield"	0.141083
"Brian Jordan"	0.140064
"Doug Glanville"	0.139822
"Joe Randa"	0.1397
"Adam Kennedy"	0.139525
"John Olerud"	0.139173
"Matt Williams"	0.138844
"Fred McGriff"	0.137763
"Ivan Rodriguez"	0.137054
"Chris Widger"	0.136918
"Manny Ramirez"	0.136911
"Russ Johnson"	0.136681
"Todd Hundley"	0.136673
Burnitz	0.136604
"Jeffrey Hammonds"	0.136358
"Scott Rolen"	0.135946
"Derek Jeter"	0.135688
"David Ortiz"	0.135494
"Brady Anderson"	0.135159
"Jose Lima"	0.134802
"Chuck Knoblauch"	0.134042
"Al Martin"	0.133588
Tatis	0.133451
Karros	0.132973
"Carlos Lee"	0.132932
"Brian Giles"	0.132917
"Rafael Palmeiro"	0.132631
"Mitch Meluskey"	0.132625
"Eric Karros"	0.132415
"Juan Encarnacion"	0.132308
"Todd Zeile"	0.132192
"Darryl Hamilton"	0.132141
"Bobby Higginson"	0.131847
"Shane Reynolds"	0.131786
"Jermaine Dye"	0.131623
Vaughn	0.131602
"Orlando Palmeiro"	0.131411
"Warren Morris"	0.131223
"Dmitri Young"	0.131181
Grudzielanek	0.131072
"Jason Kendall"	0.130987
"Ricky Ledee"	0.130906
"Jose Hernandez"	0.130703
"Brian Hunter"	0.130529
"Adrian Beltre"	0.130499
"Henry Rodriguez"	0.130478
Palmeiro	0.130459
"Darin Erstad"	0.130432
"Raul Mondesi"	0.130361
Cirillo	0.130252
"Billy Wagner"	0.129781
"Mark Grace"	0.129567
"Mike Bordick"	0.129293
"Paul Konerko"	0.128712
"Jose Guillen"	0.128303
"Glenallen Hill"	0.127628
"B.J Surhoff"	0.127165
"Damian Miller"	0.126483
"Jay Payton"	0.126444
"Matt Stairs"	0.126397
"Reggie Sanders"	0.12626
"Jeff Conine"	0.126136
"Omar Vizquel"	0.125943
"Gabe Kapler"	0.125037
"Ron Gant"	0.124974
Jeter	0.124749
"Jose Cruz Jr."	0.12473
"Jeromy Burnitz"	0.124652
Hidalgo	0.124548
"Manny Alexander"	0.124436
"Jeff Frye"	0.12434
Glaus	0.124081
"Jay Buhner"	0.123893
"Eric Chavez"	0.123721
"Frank Thomas"	0.123575
Lankford	0.122978
"Bret Boone"	0.122914
"Deivi Cruz"	0.122879
"Mark Loretta"	0.122711
Piazza	0.122414
"Juan Gonzalez"	0.12212
"Todd Pratt"	0.12189
"Kevin Stocker"	0.121736
Caminiti	0.121686
Erstad	0.121534
Abreu	0.121497
"Bobby Bonilla"	0.121455
"Mickey Morandini"	0.121381
"Rich Becker"	0.121377
"Fernando Tatis"	0.121372
"Charles Johnson"	0.121162
"Derrek Lee"	0.121112
"Kevin Jordan"	0.121009
"Scott Elarton"	0.120938
"Sandy Alomar"	0.120937
Knoblauch	0.120936
"Brian McRae"	0.11995
"Dave Martinez"	0.119532
O'Leary	0.119511
"Magglio Ordonez"	0.118679
"Lenny Harris"	0.118648
"Tony Womack"	0.118626
"Ray Lankford"	0.118263
"Cliff Floyd"	0.118212
Veras	0.118011
"Jim Thome"	0.117999
"Quilvio Veras"	0.117597
"Chili Davis"	0.117518
"Royce Clayton"	0.11729
"Damian Jackson"	0.116604
"J.T Snow"	0.116508
"Matt Franco"	0.116404
"Cristian Guzman"	0.116134
"Rickey Henderson"	0.116109
Batista	0.116083
"Terrence Long"	0.116031
"Andy Fox"	0.11535
"Eric Young"	0.115332
Varitek	0.115266
"Edgar Renteria"	0.114632
"Paul O'Neill"	0.114392
"Phil Nevin"	0.114381
"Brant Brown"	0.114311
Glanville	0.114243
"Dave Hansen"	0.113951
"Will Clark"	0.113917
Segui	0.113892
"Mark McLemore"	0.113647
"Bill Mueller"	0.113617
Frye	0.113554
"Randy Velarde"	0.113545
Renteria	0.113086
"Ben Grieve"	0.112951
Sexson	0.112196
"Miguel Tejada"	0.112005
"Neifi Perez"	0.111977
"Alex Gonzalez"	0.111621
"F.P Santangelo"	0.111413
"Barry Bonds"	0.111133
"Pat Meares"	0.111022
"Kevin Young"	0.110868
Griffey	0.110792
"Bubba Trammell"	0.110752
Alicea	0.110488
"Todd Hollandsworth"	0.11023
"Edgar Martinez"	0.110186
"Jose Vidro"	0.110004
"Luis Polonia"	0.109781
"Carlos Delgado"	0.109689
"Joe McEwing"	0.109466
"Desi Relaford"	0.109072
Klesko	0.109021
"Ron Coomer"	0.108951
Bordick	0.108947
"Miguel Cairo"	0.108843
"Trenidad Hubbard"	0.108442
"Jose Valentin"	0.108417
"Shannon Stewart"	0.107506
"Russ Davis"	0.107421
"Mike Hampton"	0.107
"Travis Fryman"	0.10694
"Andres Galarraga"	0.106917
"Craig Counsell"	0.106828
Rodriguez	0.106822
"Richie Sexson"	0.106337
Higginson	0.10593
Gant	0.105731
"Larry Walker"	0.10548
Aurilia	0.105446
"Ozzie Guillen"	0.105397
"Wally Joyner"	0.105288
"Javy Lopez"	0.104891
"J.D Drew"	0.104667
Ordonez	0.104625
"Ed Sprague"	0.10461
Beltre	0.104609
Beltran	0.10456
Mondesi	0.104421
"Gary DiSarcina"	0.104132
McGriff	0.103882
"Barry Larkin"	0.103882
"Corey Koskie"	0.10385
"Paul Bako"	0.103719
"Vinny Castilla"	0.103421
"Bernard Gilkey"	0.103289
"Todd Helton"	0.102966
"Jeff Cirillo"	0.10273
Thome	0.102686
"Keith Lockhart"	0.102681
grieve	0.102505
"John Mabry"	0.102453
"Todd Walker"	0.102317
Hundley	0.102265
Randa	0.10218
"Travis Lee"	0.102172
"Eddie Taubensee"	0.101552
"Mike Lansing"	0.101463
"Rich Aurilia"	0.10124
"Mike Lieberthal"	0.101147
"Brad Fullmer"	0.10103
"Herbert Perry"	0.10058
"Walt Weiss"	0.100509
"Luis Alicea"	0.100456
"Rico Brogna"	0.100412
"Jon Nunnally"	0.100149
))
("Carl Hooper" (desc 1816.85) (sims
"Brian Lara"	0.243676
Cronje	0.207979
Hooper	0.154468
"Nasser Hussain"	0.12965
"Hansie Cronje"	0.112864
lbw	0.108732
"Fan Zhiyi"	0.105027
"Salim Malik"	0.0983924
"Mark James"	0.0971266
"Zvonimir Boban"	0.0964474
"Curtly Ambrose"	0.0959257
Boucher	0.0932337
"Alec Stewart"	0.0929254
Kallis	0.0872847
"Michael Peca"	0.0809172
"Frank de Boer"	0.0804562
"Paolo Maldini"	0.079621
Kumble	0.0775552
Tendulkar	0.0746815
"Steve Waugh"	0.0745995
"Thomas Dooley"	0.0719866
batsman	0.0702067
"Carla Overbeck"	0.069642
MacGill	0.0693942
"Mike Atherton"	0.0692766
"Tom Kite"	0.0685291
"Derian Hatcher"	0.0674687
"Owen Nolan"	0.065538
"Jonty Rhodes"	0.0650954
"Juergen Klinsmann"	0.0650744
Waugh	0.0648929
"Ben Crenshaw"	0.0647843
"Wasim Akram"	0.0642564
Picard	0.0628519
Mullally	0.0624814
Agarkar	0.0622254
Chopra	0.0605177
"Mats Sundin"	0.0601346
"Roy Keane"	0.0563335
"Ricky Ponting"	0.0562267
"Brian Leetch"	0.0561967
Akram	0.0558664
Muralitharan	0.0556531
"Alan Shearer"	0.0543297
"Tony Adams"	0.0540932
"Courtney Walsh"	0.0537884
"Lothar Matthaeus"	0.053762
"Mike Burns"	0.0521429
"Scott Stevens"	0.0520945
"Sun Wen"	0.050676
Headley	0.0502514
"Stuart MacGill"	0.0501304
Dunga	0.050045
"Chris Pronger"	0.0499516
Malik	0.0493322
Gough	0.0493276
"Oliver Bierhoff"	0.0489259
"Mark Butcher"	0.04841
"Seve Ballesteros"	0.0480407
"Steve Yzerman"	0.0472842
"War Chant"	0.0468601
"Joe Sakic"	0.0459352
"Glenn McGrath"	0.0441774
"John Harkes"	0.0435494
"Mark Waugh"	0.0432898
Venter	0.0428141
"John McEnroe"	0.0427584
"All-Star Games"	0.0423301
"Ijaz Ahmed"	0.0417315
McLean	0.0416077
"Richard Ashby"	0.0407043
))
("Carl Icahn" (desc 1144.55) (sims
"Ronald Perelman"	0.251561
"George Soros"	0.183228
"Martin Frankel"	0.162
"Sam Wyly"	0.150441
"Michael Milken"	0.136154
NiSource	0.125445
"Total Fina"	0.108629
"Rich Gannon"	0.108588
Talal	0.106646
Icahn	0.105849
"Warren Buffett"	0.10392
Soros	0.100309
"Howard Milstein"	0.100198
"Tom Hicks"	0.0975457
"Eli Broad"	0.0940912
"U.S. Treasury Department"	0.0904189
"Boris Berezovsky"	0.0894435
"Paul Allen"	0.0857834
"BellSouth Corp."	0.0800424
"Ron Burkle"	0.0797915
"Craig McCaw"	0.0792395
"CMGI Inc."	0.0791317
"Lucio Tan"	0.0759523
"Al Davis"	0.0752032
Softbank	0.0743692
"Mark Cuban"	0.0733804
"Sara Lee"	0.072225
IDT	0.0720579
"Osama Bin Laden"	0.0715108
"Hongkong Telecom"	0.0709065
"Royal Bank of Scotland"	0.0703107
"U.S. Administration"	0.0697768
ABSA	0.067893
"Cox Communications"	0.0670143
"Motorola Inc."	0.0667946
BNFL	0.0662776
"Global Crossing Ltd."	0.0658826
"Nathan Landow"	0.0657698
"Softbank Corp."	0.0653462
"Charles Schwab Corp."	0.0651217
"Hong Kong Telecom"	0.0649783
"Howard Hughes"	0.0640868
"SBC Communications Inc."	0.0637114
"Washington Mutual"	0.0635908
Autodesk	0.0633086
"British government"	0.0628184
"Clint Reilly"	0.0628128
"Deutsche Bank AG"	0.0624362
"Chase Manhattan Corp."	0.0614051
Equifax	0.061012
"Tribune Co."	0.0608947
"Phelps Dodge"	0.0607994
Litton	0.0605614
LVMH	0.0601762
Federated	0.0601543
Gilead	0.0601251
Starwood	0.0597763
"Robert E. Rubin"	0.0593144
NTL	0.0589804
"Hearst Corporation"	0.0588972
Esser	0.0587159
Godolphin	0.0586233
"Renault SA"	0.0585468
Woodson	0.0584913
"Cybill Shepherd"	0.058362
Daimler	0.058249
Publicis	0.0579087
Ebbers	0.0576914
Olivetti	0.0564097
"Donald Trump"	0.056337
Ansett	0.0558416
Albertson's	0.055221
Healtheon	0.0552062
"Terry McAuliffe"	0.0548864
Medtronic	0.0546963
"San Francisco Museum of Modern Art"	0.0546739
TYCO	0.0546165
"Nature Conservancy"	0.0545628
homebuilder	0.0544865
Pustovoitenko	0.0542456
"Reed Elsevier"	0.0538874
"Pakistan People's Party"	0.0537963
"R.J Reynolds"	0.053772
Aegon	0.0537183
"Bank of Scotland"	0.0534164
"real estate developer"	0.0532096
"Thermo Electron"	0.0530976
"Bell Atlantic Corp."	0.053086
"Lucent Technologies Inc."	0.0530768
"Mitsubishi Motors"	0.0530313
MetLife	0.0529072
Echostar	0.0529025
"GE Capital"	0.0528064
SunTrust	0.0527015
"Cathay Pacific Airways"	0.0526217
"Volkswagen AG"	0.0526019
"International Business Machines Corp."	0.0525751
"Development Bank of Singapore"	0.0524822
McCaw	0.0522572
"Malaysia Airlines"	0.0521716
Heinz	0.0520363
Eaux	0.0514515
Genzyme	0.0511433
Kimbell	0.0511374
REALTY	0.0510802
"Ford Motor Company"	0.0508355
Totalfina	0.0507983
"Exxon Corp."	0.0505709
Nemtsov	0.050351
Quokka	0.0501926
"Global Crossing"	0.0500756
"Dow Jones &AMP; Co."	0.0500537
"Bertelsmann AG"	0.0500465
oilman	0.0499778
UAM	0.0497714
"Larry Ellison"	0.0496758
Clorox	0.0495826
"Northern Telecom"	0.0492717
"Hyundai Motor Co."	0.0492186
"Viacom Inc."	0.0490626
"National Grid"	0.0489374
"Fleet Financial Group"	0.0487494
skittishness	0.0486673
Corel	0.048608
Goodrich	0.0485028
"Hank Greenberg"	0.0484062
"Kenyan Government"	0.0481568
"Allied Signal"	0.0480331
Sanyo	0.0478715
GANNETT	0.0478394
"Monsanto Co."	0.0478211
Walgreen	0.0477706
"over six months"	0.0476533
GPU	0.0476125
"Aetna Inc."	0.0475032
Belo	0.0472106
ExciteAtHome	0.0470744
"Abbott Laboratories"	0.0469318
"Real Networks"	0.0468761
Inktomi	0.0467626
"Societe Generale"	0.0466818
"Lowell Weicker"	0.0465791
SFX	0.0465523
"Mattel Inc."	0.046536
"National Abortion and Reproductive Rights Action League"	0.0465313
Deutsche	0.0464559
Vulcan	0.0464141
"Kraft Foods"	0.0463315
"Home Ministry"	0.0462788
Dragonair	0.0462602
Occidental	0.0461452
Goldsmith	0.0460688
"NTT DoCoMo"	0.0459627
"British Telecommunications"	0.0459511
FSA	0.045935
Chris-Craft	0.0458834
Shatner	0.0458493
CMGI	0.0456944
Difrancesco	0.045624
PTT	0.0455646
Arthurs	0.0454301
"Lycos Inc."	0.0454055
Histadrut	0.0453225
"International Finance Corporation"	0.0451273
"Tim Brown"	0.0450429
Georgia-Pacific	0.045038
Arianespace	0.0449466
AIG	0.0448387
"China Airlines"	0.0448334
VW	0.0445407
Daimler-Chrysler	0.0445174
"Procter &AMP; Gamble Co."	0.0444782
"Chevron Corp."	0.0443367
"MindSpring Enterprises"	0.0441776
PSINet	0.0441629
"CBS Corp."	0.0440732
Bulog	0.0438704
"Juan Miguel"	0.0436539
GoTo.com	0.0436521
Rothenberg	0.0436095
Broadcom	0.0436044
"Boeing company"	0.0435865
"Vodafone AirTouch"	0.0435537
"Comcast Corp."	0.0434925
"True North"	0.0434053
"Enron Corp."	0.0433757
Ka-shing	0.0432868
"Rick Rockwell"	0.0432797
"account statement"	0.0431602
"Delta @"	0.0431149
Allianz	0.0428335
BASF	0.0428261
EPR	0.0428047
"Philippine Central Bank"	0.0427127
"South African Airways"	0.0425208
E-LOAN	0.0425197
"Indian Air Force"	0.0423349
"WorldCom Inc."	0.0423122
AutoNation	0.0421917
TELLABS	0.0421739
))
("Carl Levin" (desc 3452.59) (sims
"John Conyers Jr."	0.286621
"John Dingell"	0.240524
"John Conyers"	0.232206
"David Bonior"	0.230652
"John Breaux"	0.226485
"Robert Byrd"	0.219822
"Joseph Biden"	0.211753
"Russ Feingold"	0.210059
"Russell Feingold"	0.208992
"Harry Reid"	0.205325
"Dick Durbin"	0.202624
"Pete Domenici"	0.20078
"Frank Lautenberg"	0.195043
"Robert C. Byrd"	0.194615
"Ron Wyden"	0.188624
"Robert Torricelli"	0.186496
"Christopher Dodd"	0.185247
"Judd Gregg"	0.180327
"Herb Kohl"	0.175454
"Patrick Leahy"	0.174102
"Max Baucus"	0.172674
"Spencer Abraham"	0.170158
"Charles E. Schumer"	0.169826
"Tom Harkin"	0.169743
"Dianne Feinstein"	0.166243
"Bob Graham"	0.164945
"Richard Bryan"	0.164701
"Daniel Patrick Moynihan"	0.163807
"Paul Wellstone"	0.163359
"Bob Kerrey"	0.162352
"Olympia J. Snowe"	0.161233
"Kent Conrad"	0.160797
"John Kerry"	0.160713
"Mike DeWine"	0.15693
"Chuck Hagel"	0.155917
"Patty Murray"	0.154109
"Richard Durbin"	0.153619
"Kay Bailey Hutchison"	0.153067
"Peter Fitzgerald"	0.147907
"Tom Daschle"	0.147341
"Charles Robb"	0.146852
"Robert Bennett"	0.14671
"John Edwards"	0.145843
"Evan Bayh"	0.142329
"Ernest Hollings"	0.142175
"Barbara Boxer"	0.139962
"Susan Collins"	0.139615
"Joseph I. Lieberman"	0.139519
"Mitch McConnell"	0.137239
"Arlen Specter"	0.136946
"Charles Schumer"	0.136619
"Frank Murkowski"	0.135082
"Blanche Lincoln"	0.133539
"Bill Frist"	0.133509
"Max Cleland"	0.13128
"Sam Nunn"	0.130911
"Olympia Snowe"	0.128005
"James Inhofe"	0.12738
"Rick Santorum"	0.12699
"Sam Brownback"	0.126679
"Richard Lugar"	0.126129
"Gordon Smith"	0.125638
"Connie Mack"	0.124629
"Phil Gramm"	0.123602
"Tim Hutchinson"	0.123575
"Charles Grassley"	0.123404
"John Chafee"	0.123354
"Charles Rangel"	0.121851
"Jim Jeffords"	0.121563
"Edward M. Kennedy"	0.120138
"Henry Waxman"	0.118445
"Barbara Mikulski"	0.118389
"Jon Kyl"	0.118167
"Ted Stevens"	0.116634
"Edward Kennedy"	0.116325
"Tim Johnson"	0.114476
"Joseph Lieberman"	0.11411
"Wayne Allard"	0.114029
"Fred Thompson"	0.112598
"Dan Coats"	0.111507
"Richard Shelby"	0.1111
"James Jeffords"	0.110495
"Mary Landrieu"	0.110383
"Pat Roberts"	0.108626
"Slade Gorton"	0.108304
"Don Nickles"	0.107594
"Howard Baker"	0.107447
"Paul Coverdell"	0.106339
"Ted Kennedy"	0.105808
"Larry Craig"	0.105019
"William Roth"	0.104874
"Carolyn Maloney"	0.102885
"Norm Dicks"	0.100921
"John Ashcroft"	0.0998477
"Warren Rudman"	0.0985032
"Byron Dorgan"	0.0984773
"Dale Bumpers"	0.094439
"Charles Stenholm"	0.0938039
"Jim Hodges"	0.0936247
"Martin Frost"	0.0929655
"Orrin Hatch"	0.0929426
"Thad Cochran"	0.0919241
"Joe Lieberman"	0.0906638
"Lee Hamilton"	0.0902704
"John Warner"	0.0899443
"Conrad Burns"	0.0898155
"Tom Davis"	0.0883976
Biden	0.0873979
"Jesse Helms"	0.0873289
D-N.Y.	0.0870253
"Paul Tsongas"	0.0863425
"Lincoln Chafee"	0.0859072
"Chuck Schumer"	0.0848749
"Bob Smith"	0.0846806
"Gary Hart"	0.0843828
"Kit Bond"	0.0838774
"Richard Gephardt"	0.0835198
Difrancesco	0.0833852
"Fred Upton"	0.0826397
"Jeff Sessions"	0.0819132
Harkin	0.0788597
"Robert Menendez"	0.0787911
"Strom Thurmond"	0.0786168
Gramm	0.0780657
"Jennifer Dunn"	0.0778772
D-La.	0.0776262
Feingold	0.0766075
"George Miller"	0.0765395
"John Danforth"	0.0765088
"Henry Hyde"	0.0764856
Daschle	0.0756446
"Ben Nighthorse Campbell"	0.0748898
Kerry	0.0746404
"Jim Bunning"	0.0746317
"Zell Miller"	0.0745567
"Tom Hayden"	0.0742787
Feinstein	0.0740739
"Charlie Norwood"	0.0717591
Breaux	0.0717394
Moynihan	0.0708566
"Billy Tauzin"	0.0704089
D-Iowa	0.0703551
"Barney Frank"	0.0700987
"Eric Holder"	0.0697244
"Maxine Waters"	0.0696374
D-Vt.	0.0684363
"Barry Goldwater"	0.068343
"Joseph McCarthy"	0.0681323
Helms	0.0675982
D-Conn.	0.0674715
"Robert Smith"	0.0672601
"George Voinovich"	0.0672371
"Orlando Mercado"	0.0671888
"Nancy Pelosi"	0.0667379
"Lauch Faircloth"	0.066718
"Nita Lowey"	0.0666625
"David Dreier"	0.0666279
"Porter Goss"	0.066563
"Sheila Jackson Lee"	0.0661668
"Carol Moseley-Braun"	0.0661505
D-Mass.	0.0652489
"Bill Bradley"	0.064949
"Christopher Smith"	0.064907
"Jerrold Nadler"	0.0647851
Inhofe	0.0644472
Dingell	0.064117
D-Del.	0.0640073
"Robert F. Kennedy"	0.0635101
Baird	0.0633489
Torricelli	0.0630928
R-N.C.	0.0630472
"Tom Coburn"	0.0629069
"Martin Meehan"	0.062888
"Lloyd Bentsen"	0.0618766
Wellstone	0.061101
"Ron Paul"	0.0604283
Pelosi	0.0600424
"Parris Glendening"	0.0600034
"Sheldon Silver"	0.0597695
"Jim Kolbe"	0.0596042
"Gray Davis"	0.0586888
Chafee	0.0584533
Lott	0.0582885
D-Mich.	0.0579786
R-Utah	0.0579687
Levin	0.0578091
D-S.C.	0.0574909
Rangel	0.0574637
Markey	0.0574605
Schumer	0.0572028
"Bill Owens"	0.0571496
R-Neb	0.0570573
Grassley	0.0566298
"Gary Locke"	0.0565608
ACLU	0.0565432
"Carolyn McCarthy"	0.0564404
"John Kasich"	0.0564182
R-Iowa	0.0562673
"Dan Burton"	0.0562245
"Trent Lott"	0.0562101
))
("Carl Lewis" (desc 5296.97) (sims
"Gail Devers"	0.213214
"Donovan Bailey"	0.19118
"Maurice Greene"	0.189386
"Dan O'Brien"	0.182322
"Marion Jones"	0.181381
"Michael Johnson"	0.176288
"Florence Griffith Joyner"	0.175521
"Dennis Mitchell"	0.173401
"Frankie Fredericks"	0.168402
"Charles Austin"	0.16692
"Marie-Jose Perec"	0.166318
"Fiona May"	0.164915
"Jackie Joyner-Kersee"	0.16189
"Tom Dolan"	0.160945
"Linford Christie"	0.159834
"Alberto Tomba"	0.156118
"Alexander Popov"	0.146215
"Allen Johnson"	0.145303
"Jesse Owens"	0.142135
"Noureddine Morceli"	0.13615
"Picabo Street"	0.135729
"Merlene Ottey"	0.134826
Devers	0.134234
"Heike Drechsler"	0.133097
"Tara Lipinski"	0.132744
"Cathy Freeman"	0.13187
"Kieren Perkins"	0.129614
"Ato Boldon"	0.128736
"Jenny Thompson"	0.128404
"Wang Junxia"	0.128033
"Michelle Kwan"	0.127893
"Gary Hall Jr."	0.127867
"Koji Ito"	0.126633
"Yu Zhuocheng"	0.124006
"Svetlana Masterkova"	0.123871
"Javier Sotomayor"	0.121665
"Katarina Witt"	0.121219
"Fu Mingxia"	0.119323
"Inger Miller"	0.118605
"Wang Yifu"	0.11839
"Sandra Voelker"	0.117879
"Mary Slaney"	0.116823
"Derrick Adkins"	0.115785
"Randy Barnes"	0.115159
"Al Joyner"	0.115011
"Maria Mutola"	0.11475
"Felix Savon"	0.114373
"John Godina"	0.113258
"Regina Jacobs"	0.112728
"Shannon Miller"	0.1119
"Brooke Bennett"	0.111898
"Hiroyasu Shimizu"	0.111487
"Chen Lu"	0.110968
"Li Xuemei"	0.110634
"Alexei Urmanov"	0.109796
"Michelle Smith"	0.109672
"Gary Hall"	0.109526
"Elena Berezhnaya"	0.108523
"Deon Hemmings"	0.108366
"Lin Li"	0.106248
"Oksana Kazakova"	0.104912
"Penny Heyns"	0.104878
"Mark Crear"	0.10486
"Fatuma Roba"	0.104262
"Gordie Howe"	0.104036
"Alexei Nemov"	0.102544
"Simona Amanar"	0.102357
"Liu Limin"	0.101645
"Katja Seizinger"	0.101506
"Amy van Dyken"	0.101233
"Miguel Indurain"	0.100253
"Deborah Compagnoni"	0.100115
"Kim Batten"	0.099549
"Haile Gebrselassie"	0.0979281
"Jonathan Edwards"	0.0964555
"Li Jiajun"	0.0958485
"Le Jingyi"	0.0933336
"Irina Privalova"	0.0930566
"Susie O'Neill"	0.0928792
"Christine Arron"	0.0927795
Ottey	0.0925597
"Susanthika Jayasinghe"	0.0925127
"Martina Navratilova"	0.092137
Sautin	0.0920828
"Stacy Dragila"	0.0919969
"Jon Drummond"	0.0917742
"Claudia Poll"	0.0915459
"Ivan Pedroso"	0.0913902
"Angelo Taylor"	0.0912051
Shuwei	0.0899047
Boldon	0.0898523
"Liu Guoliang"	0.0888434
"Bruny Surin"	0.0884722
"Chen Jing"	0.0871333
"Susi Susanti"	0.086334
"Khalid Khannouchi"	0.085981
"Daniel Kowalski"	0.0858609
"David Reid"	0.084599
Klim	0.084393
"Dominique Moceanu"	0.083871
"Joe Dumars"	0.0823931
"Marina Anissina"	0.0819221
"Jearl Miles-Clark"	0.0817709
"Oksana Baiul"	0.0813803
"Samantha Riley"	0.0811777
"Renate Goetschl"	0.0807084
"Pernilla Wiberg"	0.0806205
"Marc Rosset"	0.0799532
"Deng Yaping"	0.0799395
"Lasse Kjus"	0.0787483
"Thomas Stangassinger"	0.0781882
"Tegla Loroupe"	0.0779673
"Gianni Romme"	0.0777355
"Michael Klim"	0.0769024
"Colin Jackson"	0.0768225
"Ben Johnson"	0.0767301
"Hicham El Guerrouj"	0.076616
"Paul Tergat"	0.0764394
"Ricky Subagja"	0.0764266
"Bjorn Borg"	0.0763978
"Gabriela Szabo"	0.0760235
"Hermann Maier"	0.0755127
"Daniel Komen"	0.0752472
"Anjelika Krylova"	0.0752185
"Denis Pankratov"	0.0748752
"Hilde Gerg"	0.0748711
"Irina Slutskaya"	0.0746123
"Kjetil Andre Aamodt"	0.0741462
"Lenny Krayzelburg"	0.0739979
"Doug Walker"	0.0736672
"Maria Butyrskaya"	0.0733956
"Xiong Ni"	0.07308
Kipketer	0.0724221
"Todd Eldredge"	0.0719052
"Bjarte Engen Vik"	0.0715194
"Karch Kiraly"	0.0705148
Fredericks	0.0704654
"Mario Lemieux"	0.0702003
"Wu Yanyan"	0.0701001
"Ian Thorpe"	0.0697921
Rosset	0.0696908
"Andre Agassi"	0.0693563
"Mia Audina"	0.0693504
"Jack Nicklaus"	0.0693306
"Sergei Bubka"	0.0692954
sprinter	0.0692319
"Chris Boardman"	0.0689912
"Cheah Soon Kit"	0.0689724
"Billie Jean King"	0.0685892
"Jonathan Stark"	0.0684798
"Wilson Kipketer"	0.0683752
"world record-holder"	0.0670747
"Yang Yang"	0.066738
Zelezny	0.0665829
"John McEnroe"	0.0665747
"Johan Cruyff"	0.0664671
"Erik Zabel"	0.0664206
"Moses Tanui"	0.0664145
"Dong Jiong"	0.0663528
"Mary Joe Fernandez"	0.0663118
"Wang Tao"	0.0662658
"Tom Steels"	0.0661984
"Chen Hua"	0.0658564
"Mark Richardson"	0.065852
"Juha Kankkunen"	0.0658357
"Jim Courier"	0.0657681
"Griffith Joyner"	0.0656217
"Chen Gang"	0.0656016
"Rexy Mainaky"	0.0654104
Makinen	0.0652092
"Chris Woodruff"	0.0651233
"Jim Brown"	0.0650902
Sotomayor	0.0649734
"Anita Wachter"	0.0648934
"Nancy Kerrigan"	0.0646493
"Wayne Gretzky"	0.064645
Morceli	0.0646403
"Kong Linghui"	0.0644648
"Elvis Stojko"	0.0644328
Popov	0.0643777
medalist	0.0640657
"Jennifer Capriati"	0.0635059
"Roy Emerson"	0.0633791
Godina	0.0632121
Daylami	0.0631847
Christie	0.0629783
"Ben Hogan"	0.0628776
Khorkina	0.0627837
"Leander Paes"	0.0627297
"Chen Yan"	0.0621597
"Bill Russell"	0.0621566
"Tommi Makinen"	0.0617073
"Grant Hackett"	0.0616742
Pele	0.0614605
"Muhammad Ali"	0.0613826
"Jimmy Connors"	0.0609419
"Jean-Philippe Gatien"	0.0606249
"Lindsay Davenport"	0.0604321
"Boris Becker"	0.0603608
"Corina Morariu"	0.0602287
))
("Carl Pavano" (desc 1848.28) (sims
"Javier Vazquez"	0.315534
"Dustin Hermanson"	0.285287
"Russ Ortiz"	0.24649
"Brad Penny"	0.245921
"Jin Ho Cho"	0.2443
"Octavio Dotel"	0.241468
"Gil Heredia"	0.23951
"Bryce Florie"	0.23927
"Jason Schmidt"	0.236155
"Brian Rose"	0.234855
"Eric Milton"	0.233908
"Brian Moehler"	0.230696
"BRIAN MEADOWS"	0.225088
"Francisco Cordova"	0.222566
"Freddy Garcia"	0.220728
"Doug Henry"	0.218369
"John Burkett"	0.217792
"Woody Williams"	0.213903
"Pat Rapp"	0.212206
"Chris Carpenter"	0.211942
"Ugueth Urbina"	0.207943
"Jeff Weaver"	0.207346
"Armando Reynoso"	0.20566
"Dave Burba"	0.204248
"Mark Portugal"	0.202881
"Paul Abbott"	0.199989
"Steve Parris"	0.198512
"Mark Gardner"	0.196004
"Jesus Sanchez"	0.195388
"Scott Elarton"	0.194523
"Pat Hentgen"	0.193902
"Steve Trachsel"	0.193184
"Esteban Loaiza"	0.18962
"John Wasdin"	0.188535
"Jose Jimenez"	0.188278
"Mac Suzuki"	0.187135
"Jon Lieber"	0.185827
"Bruce Chen"	0.182947
"John Snyder"	0.182288
"Scott Erickson"	0.181132
"Chris Widger"	0.180624
"Mark Clark"	0.179331
"Shane Reynolds"	0.178271
"Pedro Astacio"	0.177462
"Sean Bergman"	0.177206
"Matt Morris"	0.175663
"Dave Mlicki"	0.175453
"Alex Fernandez"	0.174762
"Kirk Rueter"	0.174446
"Brett Hinchliffe"	0.173699
"Scott Williamson"	0.172166
"Bill Pulsipher"	0.17122
"Ryan Dempster"	0.170466
"Brad Radke"	0.170443
"Rolando Arrojo"	0.170243
"Gil Meche"	0.170064
"Mike Sirotka"	0.169732
"Hideki Irabu"	0.169215
"Kevin Appier"	0.1692
"Jason Bere"	0.168847
"Jim Parque"	0.167423
"Aaron Sele"	0.167308
"Byung-Hyun Kim"	0.167231
"Ramiro Mendoza"	0.166434
"Ken Cloude"	0.166042
"Tim Crabtree"	0.164705
"Pete Schourek"	0.162927
"Kevin Tapani"	0.162507
"Kent Bottenfield"	0.162114
"Jamey Wright"	0.161861
"Omar Olivares"	0.161178
"Willie Blair"	0.16082
"Danny Graves"	0.159973
"John Halama"	0.158679
"Hideo Nomo"	0.158429
"Matt Mantei"	0.158106
"Tim Hudson"	0.157694
"Pete Harnisch"	0.157267
"Terry Mulholland"	0.156026
"Mike Morgan"	0.155938
"Russ Springer"	0.155205
"Eric Gagne"	0.154903
"Doug Davis"	0.154236
"Paul Byrd"	0.153873
"Darren Dreifort"	0.153314
"STEVE WOODARD"	0.151981
"Sidney Ponson"	0.151646
"Jamie Arnold"	0.15152
"Matt Herges"	0.150706
"Masato Yoshii"	0.149425
"Bartolo Colon"	0.148937
"Tim Wakefield"	0.148531
"Ryan Glynn"	0.148514
"Tom Candiotti"	0.148456
"Ron Villone"	0.148251
"Darryl Kile"	0.148043
"Al Levine"	0.14737
"Tim Belcher"	0.147233
"Jamie Moyer"	0.146701
"Pat Mahomes"	0.146124
"Scott Karl"	0.145844
"Chris Holt"	0.145208
"Joey Hamilton"	0.144844
"Andy Benes"	0.144522
"Jason Grimsley"	0.144302
"Brian Bohanon"	0.143714
"Ramon Ortiz"	0.143661
"Rick Reed"	0.143569
"Brett Tomko"	0.142059
"Juan Guzman"	0.141374
"Kevin Millwood"	0.141234
"Todd Stottlemyre"	0.141134
"Jaret Wright"	0.138826
"Robb Nen"	0.137911
"Brian Anderson"	0.136974
"Orlando Hernandez"	0.136952
"Jay Powell"	0.13678
"Mike Timlin"	0.136402
"Vladimir Nunez"	0.136147
Bottenfield	0.135844
"Kerry Wood"	0.134297
"Mark Petkovsek"	0.134245
"Jeff Fassero"	0.134201
"Shawn Estes"	0.133777
"Mike Judd"	0.133511
"Rick White"	0.133265
"Robinson Checo"	0.132686
"Jason Dickson"	0.132662
"Charles Nagy"	0.132234
"Danny Patterson"	0.132068
"Jack McDowell"	0.131862
"Scott Schoeneweis"	0.131575
"Odalis Perez"	0.13112
Pavano	0.130222
"Gregg Olson"	0.130035
"Omar Daal"	0.129637
"Livan Hernandez"	0.129571
"John Hudek"	0.128624
"Mark Langston"	0.125845
"Wilson Alvarez"	0.125604
"Sterling Hitchcock"	0.125083
"Kevin McGlinchy"	0.124749
"Graeme Lloyd"	0.124684
"Curt Schilling"	0.124576
"Ken Hill"	0.124438
"Jeff Zimmerman"	0.12308
"Ramon Martinez"	0.122689
"Kent Mercker"	0.122663
"Denny Neagle"	0.122551
"Jeff Nelson"	0.122467
"Ed Yarnall"	0.122442
"Steve Sparks"	0.122077
"Paul Shuey"	0.121522
"John Smoltz"	0.121303
"Turk Wendell"	0.120517
"Terry Adams"	0.11931
"James Baldwin"	0.119301
"Alan Embree"	0.119041
"Carlos Perez"	0.118988
"Rick Helling"	0.11859
"Darren Oliver"	0.118445
"Jason Isringhausen"	0.118278
"Mike Magnante"	0.117744
"Derek Lowe"	0.117392
"Orel Hershiser"	0.116798
"Ismael Valdes"	0.116713
"Dwight Gooden"	0.116659
"Mike Stanton"	0.116521
"DOUG JONES"	0.116499
"Chan Ho Park"	0.11636
Dempster	0.115046
"Andy Ashby"	0.114702
"Scott Sullivan"	0.114551
"Mike Mussina"	0.114401
"Paul Konerko"	0.11429
"Billy Wagner"	0.114212
"Billy Taylor"	0.113716
"Rondell White"	0.113704
"Shigetoshi Hasegawa"	0.11352
"Mike Hampton"	0.113471
"Steve Avery"	0.113077
"Mike Williams"	0.112528
"Jarrod Washburn"	0.112492
"Jim Corsi"	0.110976
"Pedro Borbon"	0.110859
"Rod Beck"	0.110593
"Antonio Osuna"	0.110113
"Jose Mesa"	0.109382
"Warren Morris"	0.10871
"Shane Andrews"	0.108351
"Jose Lima"	0.108075
"Bob Wickman"	0.107439
"Brian Cooper"	0.106806
"Angel Pena"	0.106385
"Ricky Bottalico"	0.106155
"Brad Fullmer"	0.105339
"Chuck Finley"	0.105099
"Andy Pettitte"	0.104846
"Bret Saberhagen"	0.104729
"Mike Fetters"	0.104069
"Dan Miceli"	0.103952
"Al Leiter"	0.103886
"Tom Gordon"	0.10316
"Peter Bergeron"	0.102922
"Heathcliff Slocumb"	0.102641
"Armando Benitez"	0.1025
"Onan Masaoka"	0.10231
Schourek	0.102281
Astacio	0.101851
"Matt Perisho"	0.100763
"Frankie Rodriguez"	0.100705
))
("Carl Pickens" (desc 1917.83) (sims
"J.J Stokes"	0.216515
"Frank Sanders"	0.213515
"Yancey Thigpen"	0.205523
"Rob Moore"	0.198199
"Terrell Owens"	0.193601
"Amani Toomer"	0.192112
"Antonio Freeman"	0.188873
"James McKnight"	0.165535
"Raghib Ismail"	0.164886
"Oronde Gadsden"	0.16403
"Ed McCaffrey"	0.161607
"Eric Metcalf"	0.15882
"Terance Mathis"	0.154209
"Andre Rison"	0.152855
"Kevin Dyson"	0.151185
"Eric Moulds"	0.149481
"Andre Reed"	0.148598
"Joey Galloway"	0.147591
"Cris Carter"	0.146882
"Michael Irvin"	0.146587
"HERMAN MOORE"	0.141758
"Isaac Bruce"	0.141702
"Jimmy Smith"	0.140941
"Robert Brooks"	0.138224
"Jeff Ogden"	0.135694
"Rocket Ismail"	0.13515
"Peerless Price"	0.134399
"Tony Martin"	0.133622
"Wayne Chrebet"	0.132722
"Marvin Harrison"	0.130159
"Chris Calloway"	0.129847
"Rod Smith"	0.128841
"Dedric Ward"	0.128186
"Danny Farmer"	0.127891
"Windrell Hayes"	0.124851
"Ike Hilliard"	0.123993
"Billy Davis"	0.12347
"Jerry Rice"	0.123369
"Keyshawn Johnson"	0.122618
"Tim Dwight"	0.121425
"Torry Holt"	0.120306
"Terry Glenn"	0.118023
"Shawn Jefferson"	0.116854
"Derrick Mayes"	0.116506
"Dez White"	0.114992
"Tim Brown"	0.114901
"Ernie Mills"	0.11419
"Lynn Swann"	0.11362
"Chris Taylor"	0.112906
"Tony Simmons"	0.110935
"Doug Pederson"	0.110835
"Kevin Johnson"	0.110075
"Marcell Allmond"	0.107046
"R. Jay Soward"	0.105187
"Kevin Williams"	0.105182
"Michael Westbrook"	0.10363
"Jake Reed"	0.0983343
"Kareem Kelly"	0.0980765
"Derrick Alexander"	0.0976148
"Garrison Hearst"	0.0974787
"Jeff Blake"	0.097196
"Kenyon Martin"	0.0951375
"Vincent Brisby"	0.0939754
"Randy Moss"	0.0932772
"Troy Brown"	0.092798
"Jamir Miller"	0.0898087
Pickens	0.0887088
"Mark Stepnoski"	0.0865019
"two pitchers"	0.0854969
"Jason Tucker"	0.0852959
Galloway	0.0852565
"Rae Carruth"	0.0847726
"Wane McGarity"	0.083852
"Larry Centers"	0.0831132
"Dorsey Levens"	0.0819014
"David Boston"	0.0818666
"Lomas Brown"	0.079384
"Ben Coates"	0.0777908
"Peter Warrick"	0.0775693
"John Vanbiesbrouck"	0.0768602
"Charles Johnson"	0.0758404
"John Hudek"	0.0740072
"Freddie Mitchell"	0.071018
"Neil O'Donnell"	0.0706127
Faulk	0.0704264
"Chris Chandler"	0.0699696
"Jermaine Lewis"	0.0689782
"Karim Abdul-Jabbar"	0.0686375
Mathis	0.0685609
"Charlie Garner"	0.0685274
"Doug Gilmour"	0.0680931
"Joe Kleine"	0.0679019
Reichel	0.0672432
Owens	0.067141
"Erik Kramer"	0.0667775
"Shannon Sharpe"	0.0666072
"Mark Smith"	0.0665228
"O.J Santiago"	0.0664128
"Felix Potvin"	0.0657791
"Ricky Watters"	0.0651071
"Pavel Bure"	0.0644719
"Dana Stubblefield"	0.0639668
"Dave Wohlabaugh"	0.0635642
"Emmitt Smith"	0.063523
"Scott Thornton"	0.0624848
"Corliss Williamson"	0.0621082
"Hristo Stoichkov"	0.0620962
Chrebet	0.0608296
"ZIGMUND PALFFY"	0.0606118
"Ron Francis"	0.0605155
"Donald Audette"	0.0600658
"three pitchers"	0.059813
"Billy Owens"	0.0596093
"Brian Poli-Dixon"	0.0590364
"Dennis Scott"	0.0588645
"Jackie Harris"	0.0586211
"David LaFleur"	0.0584201
"Gregg Jefferies"	0.0580719
"Scott Mitchell"	0.058009
"Steve Atwater"	0.057991
"Mitch Richmond"	0.0576347
Counsell	0.0573053
"Ray Buchanan"	0.057179
"Fred Taylor"	0.0569353
"Grant Long"	0.0568598
"Jimmy Oliver"	0.0567169
"Matthew Barnaby"	0.0557122
"Cecil Fielder"	0.0555412
"Vladimir Malakhov"	0.0554739
"Terrell Brandon"	0.0551282
"Jessie Tuggle"	0.0548979
"Wendel Clark"	0.0548838
"Rick Mirer"	0.054853
"Randall Godfrey"	0.0543019
"Terry Allen"	0.0541388
"Jason Elam"	0.0540067
"Dexter Coakley"	0.0539829
Laudrup	0.0538731
"Pat Meares"	0.0533937
Juninho	0.0531252
"Brett Favre"	0.0529222
"Champ Bailey"	0.0528381
Detmer	0.0526892
"Derek Harper"	0.0526328
Dawkins	0.0524751
"Manny Fernandez"	0.052112
"Jerome Bettis"	0.051675
"Hu Weidong"	0.0514079
"Jon Nunnally"	0.0512128
"Theo Fleury"	0.0507711
"Sherman Douglas"	0.0507347
"Barry Sanders"	0.0507238
"Shandon Anderson"	0.0506508
"Elvis Grbac"	0.050458
"Dale Carter"	0.0503292
"Eugene Robinson"	0.0501144
"Drew Bennett"	0.0501141
"Sanath Jayasuriya"	0.0499548
"Terry Porter"	0.0497141
Harbaugh	0.0496088
"Benoit Hogue"	0.0495965
"Shaun Alexander"	0.0494618
"Derrick Coleman"	0.0493884
hurler	0.0493422
"Pat Verbeek"	0.0491361
"written agreement"	0.0490485
"Curtis Joseph"	0.0489576
Kohn	0.0488669
"Byron Hanspard"	0.0488047
"Otis Thorpe"	0.0486131
"Dominique Wilkins"	0.0485878
"Chris Johnson"	0.0485356
Etcheverry	0.0485256
"Fabrizio Ravanelli"	0.0483478
"Kevin Orie"	0.0482713
"Jason Bere"	0.0481289
"Barry Larkin"	0.0480969
"Vlade Divac"	0.0479994
"Big Unit"	0.0478746
Laettner	0.0478353
"Albert Belle"	0.0478016
"Antonio McDyess"	0.0475676
"Hidetoshi Nakata"	0.0475643
"Gary Trent"	0.0475021
"Alexei Yashin"	0.0472477
"Ulf Samuelsson"	0.0472408
Hollins	0.0469914
Olajuwon	0.0464974
"Eric Murdock"	0.0461856
"Rodney Rogers"	0.0461246
"Greg Swindell"	0.0459712
"Bobby Bonilla"	0.0459652
McCaffrey	0.0459418
"Leon Lett"	0.0457631
"Reggie Sanders"	0.0457477
"Morten Andersen"	0.0456612
"Antoine Walker"	0.0455875
"Steve Largent"	0.045552
Daigle	0.045466
Petkovsek	0.0452831
))
("Carl Yastrzemski" (desc 2264.58) (sims
"Roberto Clemente"	0.215061
"Stan Musial"	0.196638
"Hank Aaron"	0.181136
"Mike Schmidt"	0.14714
"Wade Boggs"	0.145226
"Willie Mays"	0.140395
"Jimmie Foxx"	0.132438
"Ernie Banks"	0.127487
"Henry Aaron"	0.125279
"Eddie Murray"	0.12278
"Frank Robinson"	0.118785
"Honus Wagner"	0.111622
"Sandy Koufax"	0.111467
"Bob Gibson"	0.109628
"Hank Greenberg"	0.108514
"Bob Feller"	0.108386
"Ty Cobb"	0.105014
"Orlando Cepeda"	0.103707
"Warren Spahn"	0.102405
"Reggie Jackson"	0.101101
"Joe DiMaggio"	0.0960304
"Dave Winfield"	0.0913436
"Dale Murphy"	0.0906684
"Mickey Mantle"	0.0883422
"Pete Rose"	0.0870844
"Yogi Berra"	0.0865515
"Tom Seaver"	0.085506
"Lou Gehrig"	0.0836866
"Juan Marichal"	0.0810726
"George Brett"	0.0804715
"Tony Perez"	0.0804478
"Ted Williams"	0.0782815
"Eddie Mathews"	0.0759728
"Carlton Fisk"	0.0695397
"Whitey Ford"	0.0684593
"Lou Brock"	0.0681526
"Barry Bonds"	0.0663618
"Billy Martin"	0.0651569
"Babe Ruth"	0.0605217
"Robin Yount"	0.0597923
"Rickey Henderson"	0.0590637
"Roy Campanella"	0.0586754
"Jackie Robinson"	0.0583342
"Paul Molitor"	0.056812
"Marcus Allen"	0.0561495
"Pee Wee Reese"	0.0549903
"Wally Joyner"	0.0544872
"Ronnie Lott"	0.0530175
"Duke Snider"	0.0526066
"Bill Russell"	0.0514777
"Gordie Howe"	0.0511743
"Mike Caruso"	0.0507278
"Steve Garvey"	0.0498513
"Cal Ripken Jr."	0.0496435
"Earl Campbell"	0.0495622
"Jose Canseco"	0.0481498
Clemente	0.0471183
"Joe Morgan"	0.0468851
"Rod Carew"	0.045878
"Dave Martinez"	0.0455781
"Dennis Eckersley"	0.0447687
"Don Sutton"	0.0427367
"Chuck Finley"	0.0420947
"Walter Johnson"	0.040202
))
(Carla (desc 3315.01) (sims
Deborah	0.10135
Sonia	0.0861004
Paulina	0.0829393
Marian	0.0793747
Michelle	0.0783942
Monique	0.0782585
Patti	0.0775335
Stephanie	0.0769389
Suzanne	0.0753781
Denise	0.0751723
Liz	0.0728773
Naomi	0.0725462
Megan	0.0714362
Kristin	0.0711843
Brenda	0.0704267
Lorenzo	0.0696102
Kathy	0.0694051
Olga	0.0692747
Rhonda	0.0686493
Jennifer	0.0678964
Robin	0.0672088
Brooke	0.0671361
Alexandra	0.0670892
Danny	0.0666157
Jessica	0.066427
Julie	0.0653142
Rebecca	0.0649313
Josephine	0.0646965
Camille	0.064352
Brandi	0.0643444
Polly	0.0642494
Donna	0.0638441
Clint	0.0636601
Erik	0.063521
Sara	0.0622071
Marta	0.0621093
Matthew	0.06204
colleen	0.0615354
Lori	0.06106
Eileen	0.0609771
Natalie	0.0608635
Olivia	0.0606508
Heidi	0.0605476
Cathy	0.0603672
Betsy	0.0602996
Stella	0.0600877
Maureen	0.0599427
Irina	0.0597411
Cristina	0.0596993
Amy	0.0592877
Lynne	0.0590665
Christine	0.0590199
Susan	0.0589318
Julia	0.0587299
Margaret	0.0585483
Rachel	0.0583382
ISABEL	0.0583253
Linda	0.0582717
Erin	0.0580681
alicia	0.0580507
Katie	0.0577043
Kimberly	0.0575888
Thelma	0.0574536
Theresa	0.0573523
"Leigh Ann"	0.0572405
Carolyn	0.0572171
Audrey	0.0571806
Beverly	0.0570627
Patricia	0.0570355
Valerie	0.0569533
Sarah	0.0567948
Miriam	0.0566998
JoAnne	0.056643
Jill	0.0561255
Marlene	0.0561254
Nikki	0.0560971
Andrea	0.055997
Claudia	0.0558468
Wildhorn	0.0557663
Pam	0.0555905
Marianne	0.0555391
Laurie	0.0554284
Katherine	0.0554269
Mimi	0.0554028
Nora	0.0551458
Meg	0.0550309
Liam	0.0549927
Serena	0.0547564
Ellen	0.0547267
Dorothy	0.0546152
Sheryl	0.0545722
Michele	0.0544206
Annie	0.0542989
Brian	0.054069
Laura	0.053859
Clara	0.0535863
Annette	0.0532392
Renee	0.0532283
Jacqueline	0.0529258
Vicki	0.0528029
Erica	0.0526082
Zachary	0.052588
Frances	0.0525393
Cheryl	0.0522868
Helen	0.0521761
Nicole	0.052136
Roberta	0.0519335
Sheila	0.0519018
Jane	0.0518305
Maggie	0.0514696
Claire	0.0513702
Lynn	0.0511963
Lucy	0.0511045
executioner	0.0510317
Jessie	0.050884
Tracey	0.050764
Arlene	0.0505509
Zyvox	0.0505398
Gina	0.0504372
Natasha	0.0503329
Mel	0.0502514
Nancy	0.0502167
Lucia	0.0502058
Peggy	0.0501794
Bridget	0.0497603
Jeanne	0.0497249
Debbie	0.0496219
Doris	0.0495682
holly	0.0495616
Gail	0.0494128
Kathryn	0.0493255
Gertrude	0.0493036
Kathleen	0.0492708
Vera	0.0491508
Judith	0.0491302
Sally	0.0491007
Karen	0.0488351
Evelyn	0.0488341
Marilyn	0.048793
Cindy	0.0487475
Sylvia	0.0487071
anna	0.0486458
Kay	0.0484128
sandy	0.0483335
Nina	0.0481948
Jenny	0.0481675
Diane	0.0481517
Jackie	0.0480004
Anita	0.0479689
Marcia	0.0479158
Eleanor	0.0478861
Rita	0.0477258
Ian	0.0474784
Hadley	0.04738
Pauline	0.0470928
Jenna	0.047088
Tammy	0.0468844
Bianca	0.0467772
gloria	0.0464861
Phyllis	0.0464369
becky	0.0462572
Marge	0.0462042
Cherie	0.0461436
Janet	0.0459746
heather	0.0459602
ANN	0.0459323
Lisa	0.045784
"Taye Diggs"	0.0457603
Karenna	0.0454744
Madeleine	0.0454039
Shirley	0.0453472
Stacy	0.0451011
Maria	0.0450177
Lucille	0.0447827
Andre	0.04451
Juanita	0.0444442
Jimmy	0.0440061
Ashley	0.0439626
Mona	0.0439586
Emily	0.0438786
Samantha	0.0438704
Toni	0.0437775
Angela	0.0436289
Jamie	0.0432396
Carol	0.0431576
Edith	0.0430632
Tobin	0.0430522
Alice	0.043011
Melanie	0.0429782
Debra	0.0429021
"Queen Noor"	0.0428124
Grasso	0.042777
"Karenna Gore Schiff"	0.0427511
Crosby	0.0427323
Marion	0.0427064
Lois	0.0426624
Pamela	0.0423585
Connie	0.0423287
Sandra	0.0421927
Cahill	0.042136
))
("Carla Overbeck" (desc 2224.29) (sims
"Julie Foudy"	0.444436
"Brandi Chastain"	0.396681
"Joy Fawcett"	0.39042
"Kate Sobrero"	0.381875
"Kristine Lilly"	0.37447
"Michelle Akers"	0.340809
"Tiffeny Milbrett"	0.337794
"Cindy Parlow"	0.276292
"Briana Scurry"	0.246089
"Mia Hamm"	0.222188
"Shannon MacMillan"	0.218676
"Thomas Dooley"	0.156052
"Fan Zhiyi"	0.152218
"Lothar Matthaeus"	0.144404
"Hansie Cronje"	0.141879
"Sun Wen"	0.137011
"Mark James"	0.135644
"Paolo Maldini"	0.135038
"John Harkes"	0.126218
"Frank de Boer"	0.114056
Foudy	0.113164
"Zvonimir Boban"	0.109588
"Mike Burns"	0.108761
"Tony Adams"	0.100599
"Juergen Klinsmann"	0.0997199
"Fernando Hierro"	0.0974824
"Mark Messier"	0.0928759
"Ben Crenshaw"	0.089586
"Robert Jarni"	0.0888368
"Didier Deschamps"	0.0881509
"Alec Stewart"	0.0877967
"Gheorghe Hagi"	0.0877686
Chastain	0.086537
"Mark Taylor"	0.0841727
"Steve Yzerman"	0.081596
"Brian Leetch"	0.0802075
"Jeff Agoos"	0.0800976
Dunga	0.0798505
"Scott Stevens"	0.0796042
"Roy Keane"	0.0792265
"Claudio Reyna"	0.0792013
"Paul Caligiuri"	0.0789781
"Alexi Lalas"	0.0786856
"Eddie Pope"	0.0785784
"Derian Hatcher"	0.0778172
Milbrett	0.0762305
"Chris Pronger"	0.0741478
"Alan Shearer"	0.0736194
"Owen Nolan"	0.0706675
"Carl Hooper"	0.069642
"Eddie Lewis"	0.0692163
"Wasim Akram"	0.067711
"Marcel Desailly"	0.0660714
Maldini	0.0653342
Picard	0.0652451
"Salim Malik"	0.0639234
"Ray Bourque"	0.062639
"Marcelo Balboa"	0.0622795
"Bixente Lizarazu"	0.0622503
Hamm	0.062163
"Michael Peca"	0.0619943
"Steve Waugh"	0.0616833
"Brian McBride"	0.0613844
"Keith Tkachuk"	0.0609985
"Laurent Blanc"	0.0595316
"Dan Petrescu"	0.0589152
"Robin Fraser"	0.058477
"Jaap Stam"	0.0582151
"Christian Karembeu"	0.0579407
"Mats Sundin"	0.0575348
"Greg Vanney"	0.0571457
"Khodadad Azizi"	0.0569596
"Oliver Bierhoff"	0.0568433
"Frankie Hejduk"	0.0557774
"Hidetoshi Nakata"	0.0555927
Beckenbauer	0.0555375
"Sol Campbell"	0.0553188
"Bafana Bafana"	0.0551639
"Seve Ballesteros"	0.0551008
"Hu Weidong"	0.0548893
"Joe Sakic"	0.0547923
"Reggie Lewis"	0.0538122
"Diego Simeone"	0.0537298
"Dale Murphy"	0.0534728
"Gary Neville"	0.0531881
"Brian Lara"	0.0528409
"Sinisa Mihajlovic"	0.0528397
"Hao Haidong"	0.0515944
Leetch	0.0512684
co-captain	0.0504576
"Dejan Savicevic"	0.0501476
Boer	0.049988
"Tom Kite"	0.0496849
"Tab Ramos"	0.0496027
Felipe	0.0491805
"Dejan Stankovic"	0.0489693
"Junior Baiano"	0.0484718
"Eric Lindros"	0.0481582
Akers	0.0477052
"Emmanuel Petit"	0.0468713
"Luis Figo"	0.046605
"Tyler Hamilton"	0.046371
"George Weah"	0.0462607
"Dara Torres"	0.0461081
"Brian Grant"	0.0457634
"Mike Modano"	0.0453781
Peca	0.0452445
Zico	0.044657
Sundin	0.0445332
"Paul Ince"	0.0443273
"Rob Blake"	0.0441356
Paolo	0.0437072
"David Wesley"	0.0435406
"Don Young"	0.0433081
"Jaromir Jagr"	0.0432635
DiCicco	0.0430579
Cafu	0.0429965
"Jeff Weaver"	0.0426934
"Roberto Carlos"	0.0426378
"Ronald de Boer"	0.0422954
"Lilian Thuram"	0.0422844
"Ricky Moore"	0.0421445
"Barry Larkin"	0.0421169
"Alexis Herman"	0.0420847
Yzerman	0.0419233
Sissi	0.0416418
"Leon Lett"	0.0402619
"Quinton McCracken"	0.040223
"Antonio Daniels"	0.0400642
))
(Carlesimo (desc 2172.92) (sims
"P.J Carlesimo"	0.168464
Ftorek	0.135336
Calipari	0.115851
Warshaw	0.114904
Westphal	0.114115
Ponciano	0.104052
Hartsburg	0.103619
Sampson	0.100134
Wannstedt	0.0983731
Kassirer	0.0976025
Lundberg	0.0954234
Zambrano	0.0944193
Schoenfeld	0.0940763
Ditka	0.0939225
"Jim Harrick"	0.0896555
Monson	0.0893356
Neuheisel	0.0890707
Switzer	0.0889542
Romar	0.0852668
Hargrove	0.0852161
Zagallo	0.0835332
Havelange	0.0829473
DiCicco	0.0811112
Popovich	0.081103
Jacquet	0.0810411
Baez	0.0809276
Hoddle	0.0805661
Dunleavy	0.078426
Talebi	0.0778744
Nivel	0.077857
Wendt	0.0777751
Troussier	0.0774448
Dunlap	0.0767171
Gailey	0.0764778
Slocum	0.0762742
Landry	0.0757537
Villalonga	0.0754387
Kearin	0.0753685
"Lou Holtz"	0.0752344
"Glenn Hoddle"	0.0749723
Fassel	0.0748649
McGinnis	0.0746051
Hindery	0.0745087
Penders	0.0736557
Counsell	0.0728444
Lambright	0.0725748
Milutinovic	0.0724519
DIMON	0.0723091
Cowens	0.0718343
Harrick	0.0714045
Grachev	0.0711988
Holzman	0.0705664
hough	0.0704102
Venables	0.0693295
Schuerholz	0.0691228
Keenan	0.0685286
Jett	0.0682935
"Chan Gailey"	0.0681686
Rongen	0.0679473
Groh	0.0663801
Gullit	0.066016
Barad	0.0657971
Tubbs	0.0656433
Rodionov	0.065553
Aliotti	0.0653895
"Van Gundy"	0.0650463
Muckler	0.0650038
Wren	0.0645979
Tomjanovich	0.0645207
Vermeil	0.0637833
Passarella	0.063555
DeBerg	0.0633993
Shurmur	0.0615042
Holmgren	0.0614976
Cha	0.0612815
"Pete Carroll"	0.0612277
"Don Nelson"	0.0609842
"Ken Hitchcock"	0.0609724
Wilkens	0.0604555
Baca	0.0600768
Schottenheimer	0.059789
Zenga	0.0597757
Erickson	0.0597421
Blackman	0.0597142
Evernham	0.0595665
Belichick	0.059456
GRUNFELD	0.0591003
Mathews	0.0589029
Summitt	0.0586561
"Bill Spiers"	0.0579895
Jarvis	0.0578488
Jager	0.0577978
Byrdsong	0.0577814
"La Russa"	0.0574938
"John Robinson"	0.0573671
Golota	0.0573102
Carroll	0.0572105
Marineau	0.0570346
Eisner	0.0565749
Baerga	0.0565277
Hackett	0.0564466
Schmid	0.0564296
Asprilla	0.0559407
Campo	0.0558778
Coley	0.0557758
"time clock"	0.0556957
Canty	0.0556713
Donnan	0.0552664
Calhoun	0.0548881
Tobin	0.0548355
"Pat Burns"	0.0547216
Krzyzewski	0.0547042
Hartman	0.0544634
Seifert	0.0541099
"June Jones"	0.0540657
"De la Cruz"	0.0537309
"Ray Rhodes"	0.0536721
Berra	0.0536661
Condit	0.0536271
Neilson	0.0535669
Rahman	0.053337
Zimmer	0.0526228
Grier	0.0522784
Keegan	0.0521731
Scioscia	0.051968
Donahue	0.0518898
Catacosinos	0.0517682
Cubas	0.0516173
"Tim Floyd"	0.0515655
Deane	0.0515418
Chaney	0.0515105
"Bora Milutinovic"	0.0514739
"Dennis Erickson"	0.0507084
Poole	0.0506354
Lafleur	0.050575
Spurrier	0.0504248
Skuratov	0.0501801
Padilla	0.0500889
Cavanaugh	0.0498205
Martz	0.0497878
Farley	0.0497801
Blackmun	0.0495228
Brinkman	0.0494076
Constantine	0.049407
Leyland	0.0493754
gentry	0.0492977
Marichal	0.0492851
Duquette	0.04913
Norstrom	0.0491045
"Nancy Kerrigan"	0.048936
"John Calipari"	0.04884
Dungy	0.0487837
Arrojo	0.0487641
Haworth	0.0487251
"Dan Reeves"	0.0486585
Haley	0.0484654
Soares	0.048277
Maldini	0.0479997
Brogna	0.0479186
Shanahan	0.0479124
Willard	0.0478008
Modell	0.0477701
Coelho	0.0477503
Nilsson	0.0476431
Coulter	0.0473551
Dickey	0.0473502
"Jimmy Johnson"	0.0471101
Millner	0.0471019
Draskovic	0.0466137
Layden	0.0464842
"Van Raaphorst"	0.0464325
Bucaram	0.0464041
Higgins	0.0463343
Haskins	0.046329
Stepashin	0.0461987
Bettman	0.0461453
"Fred Claire"	0.04611
Laettner	0.046109
ref	0.0459651
"Breda Kolff"	0.0457996
Sassa	0.0457097
Takanonami	0.0455746
Alvarez	0.0455135
Sato	0.0455044
Feinstein	0.0454016
Nicol	0.0453877
"Mike Shanahan"	0.0453333
Huard	0.045234
Olsen	0.0452056
Shamshad	0.0451711
Vonnegut	0.0451582
Mordechai	0.0450756
"government minister"	0.0450425
"Mike Holmgren"	0.0450028
Doherty	0.0449395
Starks	0.0449386
"Tim Belcher"	0.0448986
Spyridon	0.0448409
Pitino	0.0446651
Rambis	0.0446644
))
(Carlin (desc 2063.25) (sims
Weiner	0.119161
Galbraith	0.117688
Menchu	0.0979629
Posner	0.0975163
Hoddle	0.0926317
Cleary	0.090994
Schaeffer	0.0905759
Hirsch	0.0885692
Wolfson	0.0880954
Talebi	0.0876226
Hinckley	0.087422
Patten	0.0868796
hodgson	0.0867749
Whyte	0.0867669
Harr	0.0859843
Verney	0.0859797
Carlson	0.0855889
Ruthardt	0.0855703
MacKay	0.0833498
Meissner	0.0793618
"George Carlin"	0.0791268
Puzo	0.0789019
Sobel	0.0784924
Kessler	0.0779032
Shapiro	0.0773927
McGowan	0.0772336
McCourt	0.0771619
"Jim Nicholson"	0.0771157
Mehta	0.0769114
Levine	0.0762285
LeBlanc	0.0760102
Purdy	0.0758921
Passarella	0.0755002
Whipple	0.0751812
Teresi	0.0749992
Silverstein	0.0749441
Zuckerman	0.0744896
Gauthier	0.0742855
Hynes	0.0737853
Lerner	0.0737802
Solzhenitsyn	0.0725115
Gullikson	0.0722724
Sheehy	0.072247
Halberstam	0.0720742
Moser	0.0718594
Quackenbush	0.0715823
Blount	0.0715604
Hanley	0.0713734
Vonnegut	0.0712663
Theroux	0.0706464
Pollack	0.070551
Wolfe	0.0703983
Baum	0.0703482
Ebersol	0.0703185
Weil	0.0699729
Lamberth	0.0698745
Rosenberg	0.0696912
Folsom	0.0690776
Nkomo	0.0687542
Fleischer	0.0687503
"Donna Shalala"	0.0685846
Shamshad	0.0685545
Hersh	0.0683341
Vasile	0.0682649
D'Alessandro	0.0681788
Valenti	0.0681484
Allchin	0.0681365
Rubenstein	0.0680846
Segal	0.0678573
Remnick	0.0672123
Wada	0.0669333
Babbitt	0.066456
Barrett	0.0664338
Hubbard	0.0662176
Malu	0.0657958
McNamara	0.0656437
Higgins	0.0653325
Spence	0.0651938
Canty	0.0651368
"Patsy Ramsey"	0.0649605
Rivlin	0.064802
Bech	0.064773
Kesri	0.0646339
Izetbegovic	0.0643706
Joklik	0.0643621
Rendell	0.0641593
Farley	0.0640346
Orwell	0.0639159
Kaplan	0.0638552
Weinstein	0.0638418
Nadler	0.0638131
Jovanovic	0.0636237
HELLER	0.0635253
"Nur Misuari"	0.0635174
Cline	0.0634728
Shriver	0.0634011
Kaye	0.0633887
Farrell	0.0631178
Popovich	0.063107
Cheng	0.0630918
Mehmet	0.0629019
Carville	0.0627361
Evans	0.0626166
Schuerholz	0.062552
Schell	0.0621035
Koch	0.0618664
Hartsburg	0.0618139
Loeb	0.0616465
Bushnell	0.0616351
Hevesi	0.0615273
Coelho	0.0612413
Bochy	0.0610568
Gilmore	0.0609206
Edelstein	0.0609055
Hodler	0.0605537
Bhattarai	0.0605488
Reiner	0.0605019
McKenna	0.0604618
Lehane	0.0603487
Severino	0.0602472
Arens	0.0601142
Protas	0.0600544
Katz	0.0600466
Warshaw	0.0597159
Ziegler	0.0596964
Haines	0.0596591
"Jack Valenti"	0.0595398
Tarawneh	0.0593024
Houghton	0.0592934
Rowling	0.0591562
"House Majority Whip Tom DeLay"	0.0590709
Cao	0.0590355
Clements	0.0589074
Masire	0.0585237
Horner	0.0584039
McLaughlin	0.0583059
Grisham	0.0582685
Weisman	0.058131
Guthridge	0.0580808
Hiddink	0.0580631
Prewitt	0.0579842
Bartley	0.0579393
Anand	0.0578981
Cooke	0.0578317
Trulock	0.0577131
Garcetti	0.0577131
"De la Cruz"	0.0577033
Davidson	0.0574044
Hoch	0.0572829
Regan	0.0572486
Loewen	0.0571859
Cornwell	0.0571662
Zou	0.0569823
Sanan	0.0569276
Jayakumar	0.0569013
Ren	0.0568539
Aliyev	0.0566817
Pastore	0.056653
"Jia Qinglin"	0.0565836
Isikoff	0.0565314
Kissinger	0.0565011
Lang	0.0564498
Ben-Ami	0.0563574
Gutman	0.056319
Setzer	0.0562972
Spyridon	0.056244
DiCarlo	0.0561749
Junger	0.056042
Tian	0.0560133
Postol	0.0559989
Daft	0.0559748
Maynard	0.0559291
Healy	0.0558725
Roth	0.0558412
Adler	0.0557222
Dunne	0.0556939
Nazarbayev	0.055621
Robson	0.0555268
Hess	0.0554411
Milbury	0.0553033
Brenner	0.0552824
DERSHOWITZ	0.055169
Schmid	0.0550144
Gilman	0.055
Rabe	0.0549792
Rideau	0.0549288
Friedman	0.0548317
"Alexander Hamilton"	0.054829
Boardman	0.0547399
Blatter	0.0546357
Blackmun	0.0546353
Calcavecchia	0.0545994
Mohr	0.0545596
"Robert E. Rubin"	0.0544886
Constantine	0.0544636
Schultz	0.0544151
Engelberg	0.0543914
Kurtz	0.0543561
Liang	0.0543376
Peters	0.0543363
))
(Carlisle (desc 2421.95) (sims
Easton	0.149807
Williamsport	0.11214
Pittsfield	0.110591
Ipswich	0.0986683
Allentown	0.0936992
"Iowa City"	0.0931247
Harrisburg	0.0925951
Oakmont	0.0924648
Chatham	0.0904752
Dubuque	0.0900595
"Woods Hole"	0.0894787
"Mount Pleasant"	0.0885706
"Fall River"	0.0872383
"Cedar Rapids"	0.0871422
Scranton	0.0861277
Hempstead	0.0852212
Braintree	0.0847453
Salisbury	0.0847303
Acton	0.0830468
Brockton	0.082881
Chester	0.0822206
Greenfield	0.081775
Waterloo	0.0798292
Hershey	0.0796245
Mansfield	0.0778208
Bridgewater	0.0776885
Morristown	0.0765763
Needham	0.0763509
Skiles	0.0757819
Farmington	0.073955
Weston	0.0726308
Gorter	0.0724901
Middleton	0.0724857
Fairfield	0.0720126
Winchester	0.0718081
York	0.0716151
Danville	0.0715428
Bedford	0.0714182
Cardenas	0.0710729
"Saratoga Springs"	0.0708673
Middletown	0.0699543
ATTLEBORO	0.0690492
Milford	0.0689769
Hyannis	0.0689103
Melrose	0.0685804
Hatfield	0.0685168
Bradford	0.0683177
Nazareth	0.068253
Butterworth	0.0682049
Somerville	0.0680472
Gloucester	0.0680349
Walpole	0.0672143
Northampton	0.0671201
Villanova	0.0670893
Koskinen	0.0670308
Hillsboro	0.0661256
Maddox	0.065928
Americus	0.0653998
Ashland	0.0652876
Barbour	0.0652821
Ruggiero	0.0651839
Medford	0.0651522
Williamstown	0.0648615
Milton	0.0646739
Lenox	0.0646083
Wayne	0.0641433
Erie	0.0639358
Beazley	0.0639164
Warwick	0.0635922
Newton	0.0633524
Bradenton	0.0630698
Peabody	0.0629076
Advani	0.0628666
Durres	0.0625056
Rongen	0.0624256
Salem	0.0616569
bethel	0.0615886
Fenton	0.061387
Kettering	0.0613844
Longview	0.0613381
Framingham	0.0612574
Westfield	0.0611812
Burlington	0.0611701
"San Cristobal"	0.0611416
Carrollton	0.0610084
Falmouth	0.0609695
Rockport	0.0608616
Cambridge	0.0605836
Amherst	0.0602089
Norwood	0.0600572
BRIGHTON	0.0599698
Brewster	0.0598781
Waldorf	0.0597202
Calipari	0.0596895
Stockbridge	0.0596691
Englewood	0.0596136
Plymouth	0.0592733
Voinovich	0.0590868
Quincy	0.059072
Brookline	0.0590497
Watertown	0.0589504
Lawrenceville	0.0589332
Rusch	0.0588695
Klima	0.0586041
Carthage	0.0583021
Spencer	0.0577346
Daft	0.0577329
McGuire	0.0576544
Dehaene	0.0576172
Appleby	0.0575215
"Gaza City"	0.0574459
Wannstedt	0.0573162
Boone	0.0572524
Wheaton	0.057117
Diouf	0.0567635
Cepeda	0.0565915
Dixon	0.0563926
franklin	0.056352
Ames	0.0562788
Somerset	0.0561546
Pereira	0.0560792
Wilmington	0.0559939
Prewitt	0.0559273
Waltham	0.0558229
Cabot	0.0557836
Xenia	0.0555787
Concord	0.0555257
Oxford	0.0555257
Weimar	0.0554152
Randolph	0.0553311
Wallingford	0.0552941
Beverly	0.0551481
Solis	0.054854
Conway	0.0547847
Wakefield	0.054565
Sato	0.0545637
"South Bend"	0.0545327
Sheehan	0.0542939
Huntington	0.0542135
Brinkley	0.0538344
"Union City"	0.0537823
Cornelius	0.0536896
Ruehe	0.0536087
Elmira	0.0535876
Neff	0.0534687
Wagoner	0.0534196
"Wichita Falls"	0.0533018
Mendez	0.0532449
Padilla	0.0532395
Gardner	0.0531865
Kuhn	0.0531333
capella	0.0530094
"St. Francis"	0.0530052
Maldini	0.0529221
Barrie	0.0529115
Provincetown	0.052668
Velayati	0.0526326
Fuentes	0.0525708
Srbica	0.0524992
Wellesley	0.0524038
Woburn	0.0523147
Logan	0.0523125
Exeter	0.0521223
Wildwood	0.0520406
Milbury	0.0520218
Lubbock	0.0519764
Zambrano	0.051854
Cline	0.0516816
Marineau	0.0516622
Derry	0.0516377
Mbarara	0.0515185
Johnston	0.051464
Dunedin	0.0513374
"Port Elizabeth"	0.0513275
Evansville	0.0512831
Riverdale	0.0512434
Charlestown	0.0512401
Aachen	0.0511477
Brentwood	0.0508947
Bridgehampton	0.0508347
"Eagle Pass"	0.050714
Jamestown	0.0506773
Vaughan	0.050662
Montclair	0.0505945
Lexington	0.0505741
Devon	0.0505649
Arlington	0.0505397
Houghton	0.0505345
Singson	0.0505202
"La Russa"	0.0504786
Secaucus	0.0503603
Avon	0.0503461
Keller	0.0503321
O'Sullivan	0.0501911
Hirst	0.0501267
Remlinger	0.0500901
McKinnon	0.0500517
Waxman	0.0499897
Seymour	0.0499827
Ashkelon	0.0499179
))
(Carlo (desc 2392.43) (sims
Monte	0.101406
OCA	0.0969294
Farber	0.0879162
S-@@	0.0864255
DeFrantz	0.085946
Meissner	0.0839898
Briscoe	0.083464
Kirkpatrick	0.0813584
Fiorina	0.0811187
Cline	0.0796339
Bellamy	0.0790139
Goldin	0.0773896
McDonnell	0.07723
Pape	0.0764814
Markovic	0.0739666
Lowry	0.0737799
Knapp	0.0737578
Mucha	0.0733277
Tharp	0.0732279
Advani	0.0730199
Rivlin	0.0729311
Ono	0.0729264
Piot	0.0728653
Greenwald	0.0725841
Rossotti	0.0725236
Henning	0.0724635
Janssen	0.0723478
Hauser	0.0719533
Jeffers	0.0718652
Copeland	0.0717742
Arbour	0.0714716
Ruehe	0.0713015
Huffington	0.071022
Flanagan	0.0707376
Deneuve	0.0696132
Silverstone	0.0695914
Sorensen	0.0694066
Ruggiero	0.0688216
Godfrey	0.0688004
O'Sullivan	0.0686416
Grunwald	0.0683779
Daniels	0.0683002
Mckee	0.067728
Menchu	0.0674317
Merritt	0.0672554
Condit	0.067204
Cohn	0.0661534
Orton	0.0661307
McFadden	0.0659361
Barad	0.065721
Zuckerman	0.065644
Moscoso	0.0650776
Rossi	0.0648948
Haines	0.0646037
Davidson	0.0645861
Wasserstein	0.064436
Upshaw	0.0643709
Feng	0.0635495
Hartley	0.0625368
Aventajado	0.0624231
Brazile	0.0623013
Brenner	0.061983
Betts	0.0619352
Kern	0.0614885
Valenti	0.0613337
Waxman	0.0611062
Sibley	0.0610909
Paxon	0.0608589
Shapiro	0.0605182
Arron	0.0604242
McCormack	0.0601086
capella	0.0601059
Suarez	0.0597891
Sheehan	0.0595795
Satcher	0.0594965
Patten	0.0594949
Greco	0.0594083
Molinari	0.059275
Shriver	0.0590745
Duffy	0.0589701
Summitt	0.0587394
McDaniel	0.0584959
Rutherford	0.058186
Horne	0.0580739
Parrish	0.0580511
Snowe	0.057977
Hendrickson	0.057756
Manley	0.057717
Rubinstein	0.0575869
Lockyer	0.0574738
Britton	0.0572481
Hickman	0.0572466
kraut	0.0572317
Velayati	0.0572083
Grasso	0.0571573
Cassidy	0.0571174
Eizenstat	0.0571118
"administration official"	0.0570591
Kingsley	0.0569909
Fleischer	0.0567314
Byrne	0.0566349
bock	0.0565415
Moonves	0.0565259
Kurth	0.0565134
Lockwood	0.0564677
Adkins	0.0562828
Tilberis	0.0562258
Lacey	0.0560826
Barshefsky	0.0558582
Flynn	0.0557647
Hamlin	0.0557291
Hagen	0.055559
Roberson	0.0555183
krueger	0.0555133
Rosen	0.0554986
Morse	0.0554292
Ingalls	0.055298
Sheehy	0.055216
COYNE	0.0552075
Aguirre	0.05514
Kurtz	0.0549966
Kagwe	0.0549796
pressman	0.0548792
Bustamante	0.0548361
Ashrawi	0.0548242
Vogel	0.0547635
Tuttle	0.0547377
Nakamura	0.0546449
Conley	0.054526
Mikhailov	0.0544755
Rowley	0.0544544
Gilman	0.0543252
Inhofe	0.0543069
Northup	0.0542807
Hahn	0.053981
Newhouse	0.0537886
Theron	0.0536751
Berenson	0.053671
Storin	0.0535232
O'Hara	0.053425
Pfeiffer	0.0533845
Hanna	0.0533287
Samuelson	0.0532675
Boyle	0.0532143
Reinhardt	0.0530564
Slatkin	0.0530508
Webdale	0.0528928
Berman	0.0528367
Pirro	0.0528329
Delahunt	0.0528
Lange	0.0526303
Iger	0.0525643
Chenoweth	0.0525529
Carmichael	0.0525525
Singson	0.0523872
Rylander	0.0523546
Farley	0.0523535
Jarrell	0.0523522
Albrecht	0.05235
Reiter	0.0523329
Tate	0.0522426
Cleary	0.0522163
Beckwith	0.0521982
Liston	0.0521365
Healy	0.0520765
Wolfson	0.0520304
Marchand	0.0519798
Weil	0.0519469
Leavitt	0.0519332
Kumar	0.0519198
Spitzer	0.0518772
Devine	0.0518465
Mott	0.051804
Seymour	0.051739
Zucker	0.0517155
Sakakibara	0.0516427
Steiner	0.051555
Zambrano	0.0514501
Beazley	0.0514445
Weinberg	0.0514277
swank	0.051372
Gullikson	0.0512785
Solis	0.0512145
Westendorp	0.0511508
Constantinescu	0.0509503
Dunleavy	0.050913
Stahl	0.0508492
Verniero	0.0508322
Ganassi	0.050815
Garber	0.0508048
Waite	0.0507121
Dowd	0.0506686
Neff	0.0506342
Krall	0.0504625
Suzuka	0.0504505
Tobin	0.0503857
Hecht	0.0503156
Gao	0.0502809
Leventhal	0.0502347
Sweeney	0.0502101
))
(carload (desc 2876.41) (sims
busload	0.159012
truckload	0.13387
planeload	0.108552
trainload	0.108223
planeloads	0.103443
"more than @@@ pounds"	0.0929987
"more than @,@@@ tons"	0.092493
"more than @@@ million tons"	0.0906057
"Lynne Cheney"	0.0834024
"more than @@,@@@ tons"	0.0801518
roomful	0.0793909
"fire truck"	0.0763147
shipload	0.0729636
"two tons"	0.0711766
"over @@ million tons"	0.0706292
"two bags"	0.0698451
Phalanx	0.0688666
"moving van"	0.0687313
"more than @,@@@ pounds"	0.06775
throng	0.0672704
"more than @@@ tons"	0.0670205
"robbery suspect"	0.0669679
gaggle	0.0668069
Dutchmen	0.0655085
boatload	0.063837
"Ninety-five percent"	0.0636286
"one pound"	0.0628774
Ferraris	0.0627505
"six million tons"	0.0624378
horde	0.0618615
"about @@ tons"	0.0617198
gantlet	0.0608301
armful	0.0604599
VMs	0.0596822
MiG-@@s	0.0589287
Chevys	0.0584707
MiGs	0.0581918
"More than three-quarters"	0.0580406
bogy	0.057136
"more than @@ tons"	0.0568296
"dead body"	0.056744
"over @@@ tons"	0.0562432
"about @@ pounds"	0.0561009
Pontiacs	0.055959
"over @@@,@@@ tons"	0.0558444
"one ton"	0.0555792
"Eighty percent"	0.055236
unloading	0.0547969
"three tons"	0.0533507
detachment	0.053282
"more than @@@,@@@ tons"	0.053137
"five million tons"	0.053057
"about @@ million tons"	0.0528276
"two million tons"	0.0527774
"freight car"	0.0527286
"police car"	0.0526386
Palczynski	0.0525328
knot	0.0524602
"five kilograms"	0.0521588
"Nearly three-quarters"	0.0520642
Moroccan	0.0517548
recruiting	0.051716
Salvadoran	0.0515481
Humvees	0.0510201
"fire engine"	0.0509657
motorcyclists	0.0509194
guardsmen	0.0509008
"hundred thousand"	0.0508984
scad	0.0508904
"five tons"	0.0508047
legion	0.0506053
motorcyclist	0.0502029
platoon	0.0500136
"about @,@@@ tons"	0.0499849
"patrol car"	0.0498569
clump	0.0495282
convoy	0.0493885
"more than @@ million tons"	0.0492548
"base runner"	0.0491139
reorientation	0.0490074
"four million tons"	0.0485481
"police van"	0.04846
"Sri Lankans"	0.048387
protestor	0.0477104
speedboat	0.0476945
"wedding party"	0.0476517
"tractor trailer"	0.0476264
cordon	0.0476221
jeep	0.0476097
tractor-trailers	0.0475763
"Hong Kong Federation"	0.0475022
"Ninety-nine percent"	0.0472781
B-@s	0.0472764
soliders	0.0468582
Ambulance	0.0463089
"about @@@ tons"	0.0460692
Matasareanu	0.0457021
"American plane"	0.045656
"gray whale"	0.045459
marcher	0.0453041
fifths	0.0452878
"police boat"	0.0452228
great-grandchildren	0.044935
"army tank"	0.0449223
"pleasure boat"	0.0448213
"squad car"	0.0448052
"petrol bomb"	0.0446902
"city block"	0.0444463
"word of advice"	0.0441121
tenths	0.0440251
"Forty percent"	0.0439262
marauder	0.0438946
"Evan Bayh"	0.0438237
"over @,@@@ tons"	0.0437664
"full complement"	0.043738
Ghanaians	0.0435234
payload	0.0434991
"passenger train"	0.0434937
prong	0.0434488
gunboat	0.0434433
"major-league team"	0.0433618
looper	0.0432549
"Lincoln Town Car"	0.0430264
"Ninety percent"	0.0428507
Klansmen	0.0427955
cameramen	0.0427802
"military vehicle"	0.0426944
tacklers	0.0426654
Copt	0.0424935
"about @@@ pounds"	0.0423919
"duffel bag"	0.042349
wellwisher	0.0423141
no-decisions	0.0422754
half-dozen	0.0420958
Nepalese	0.042024
crewmembers	0.0420035
coterie	0.0419379
"Pulitzer Prizes"	0.0418369
posse	0.0418156
mushers	0.041638
"service break"	0.0413976
"freight train"	0.0411995
"two boxes"	0.0411911
"body bag"	0.041171
robber	0.0410671
caravan	0.0407539
"About @@ per cent"	0.040683
"yellow flag"	0.0404343
years.	0.0403216
"house guest"	0.040286
"foster child"	0.040285
importing	0.0402682
carriage	0.0402617
"break of serve"	0.0402109
"work group"	0.0400351
))
(Carlos (desc 6157.96) (sims
"Ahmed Ressam"	0.0952319
Ronald	0.0915281
Roger	0.0910759
Jeb	0.0899072
Ramon	0.0884547
Danny	0.0883883
Gerald	0.0882367
Randy	0.0873016
Brian	0.0861548
Jamie	0.0858615
Steven	0.0847486
Adrian	0.0847447
Carl	0.0839664
Andrei	0.0839553
Ivan	0.0839436
Mario	0.0828559
Jason	0.0827985
Luis	0.0823967
Kevin	0.0819232
Walter	0.0817084
Pedro	0.0805305
Raul	0.0799688
mike	0.0788372
Larry	0.0785116
Tim	0.0782495
Juan	0.078149
Albert	0.0771605
Terry	0.0768438
Edgar	0.0766516
Michael	0.0766076
Vladimir	0.0761289
Gary	0.0755849
Richard	0.0754572
Evan	0.0747571
Stephen	0.0746846
Joel	0.0745298
Josh	0.0745128
Jonathan	0.074416
Steve	0.0741773
Marty	0.073457
Byron	0.0734516
Julian	0.0731492
Theo	0.0730862
Jeff	0.0730148
Louis	0.072497
Marcus	0.0722464
Darren	0.0721286
Eric	0.0720623
Chris	0.071894
Samuel	0.071456
Eddie	0.0714162
Edward	0.0712504
Hans	0.071035
Alan	0.0709129
Jose	0.0708893
Jacob	0.0707816
Tommy	0.0702155
Shane	0.0695769
Raymond	0.0695
Keith	0.0694043
Gossage	0.0692439
Todd	0.0692428
Neil	0.0692367
tom	0.0690081
Mohamed	0.0689628
Paul	0.0688071
Gerard	0.0687662
Fred	0.0687089
Robert	0.0686465
Bobby	0.068521
Dave	0.0684247
Leo	0.0681122
Reggie	0.0679799
David	0.0678941
Jeremy	0.0678801
Charlie	0.0674458
Ressam	0.0672789
Ted	0.067274
Joseph	0.0671168
Frank	0.0669721
Andre	0.0669471
Ibrahim	0.0665038
Arnold	0.0663634
matt	0.0663279
Ralph	0.0662553
"George W."	0.0662477
Patrick	0.0661633
"Earl Spencer"	0.0659269
Bruce	0.0658675
Hassan	0.0656677
Wayne	0.0656594
Thomas	0.0656165
Fernando	0.0655075
Phil	0.0654669
Francois	0.0653181
Peter	0.0652559
George	0.0650615
Craig	0.0650187
Ben	0.064952
Roberto	0.0648508
Marvin	0.0645465
Eduardo	0.0645268
Jim	0.0644857
Justin	0.0644723
Charles	0.0644412
Andy	0.0644322
Henry	0.0641997
Kenny	0.0641435
James	0.0640999
Rick	0.0639004
William	0.0636721
Marc	0.0635352
Burke	0.0632011
Manuel	0.0631725
Daniel	0.0631587
Sean	0.0629087
Jerry	0.0624565
Mohammed	0.0622095
Philip	0.0621638
Greg	0.0620926
Shawn	0.0620018
John	0.0619059
Robbie	0.0618731
Jakob	0.0617945
Ken	0.0616298
Kenneth	0.0613636
Sam	0.0613291
Wyatt	0.0611577
Jake	0.06062
Barbara	0.0605341
Roy	0.0605067
Trevor	0.0603389
Bret	0.0599168
Felix	0.059767
Joey	0.0597529
Vince	0.0597378
"Raul Salinas"	0.0597211
Julio	0.0596245
Jimmy	0.0594285
Dan	0.0593994
Liam	0.0593874
Nicolas	0.0593191
Ron	0.0588618
Shayler	0.0588414
Reyes	0.0588321
jack	0.0587605
Miguel	0.0586788
Karl	0.0584651
Noel	0.0582721
Alexei	0.0582683
Saberhagen	0.0582608
Ernie	0.0582585
Antonio	0.0582019
Arthur	0.058147
Benjamin	0.0580357
Christopher	0.0579427
"Abu Nidal"	0.0578914
Dennis	0.0577917
Adam	0.0577053
Anthony	0.0576629
Harold	0.057634
Hirohito	0.0575977
Vincent	0.0575483
Doug	0.0573656
Harry	0.0573515
Lindsay	0.0571785
Matthew	0.057161
Brandon	0.05689
Brock	0.0568179
Alex	0.0567392
Brett	0.0565955
Muckler	0.056466
Rifaat	0.056376
Andres	0.0563507
jay	0.0563443
Tony	0.0560234
BOB	0.056011
Ed	0.056
Casey	0.0558828
Oliver	0.0556748
"Bin Laden"	0.05566
Maurice	0.0555183
Dom	0.0554195
Andrew	0.0552211
Bernie	0.0549117
Ian	0.0549004
Ahmed	0.0546558
Donald	0.0545227
Chapman	0.0544524
"Bora Milutinovic"	0.0543326
Barry	0.05423
Steffi	0.0541402
Krajisnik	0.054131
Johnny	0.054037
"Carlos Salinas"	0.0538848
Papon	0.0538762
D.J	0.0538571
Sergei	0.0537924
Frederick	0.0536793
nick	0.0535754
))
("Carlos Baerga" (desc 2764.48) (sims
"Craig Paquette"	0.287552
"Luis Lopez"	0.244298
"Edgardo Alfonzo"	0.216214
"Lenny Harris"	0.204827
"Kevin Jordan"	0.199966
"Travis Fryman"	0.194937
"Jose Vidro"	0.18654
"Robin Ventura"	0.181205
"Matt Franco"	0.180172
"Scott Spiezio"	0.17249
"Brian McRae"	0.166898
"Eric Chavez"	0.166226
"Richie Sexson"	0.165995
"Todd Walker"	0.163607
"Luis Alicea"	0.160889
"Delino DeShields"	0.16016
"Ray Durham"	0.159248
"Greg Colbrunn"	0.158727
"Tony Batista"	0.157887
"Roberto Alomar"	0.157825
"Warren Morris"	0.157459
"Dave Martinez"	0.154788
"Ed Sprague"	0.153145
"Tony Phillips"	0.152409
"Roger Cedeno"	0.151562
"Russ Johnson"	0.151072
"Eric Davis"	0.150787
"Fred McGriff"	0.150579
"Joe McEwing"	0.150168
"Miguel Cairo"	0.150084
"Kenny Lofton"	0.149358
"Mike Lansing"	0.149199
"Tony Graffanino"	0.1468
"Enrique Wilson"	0.146165
"Quilvio Veras"	0.145086
"Butch Huskey"	0.145085
"Jeff Huson"	0.144253
"Charlie Hayes"	0.144193
"Erubiel Durazo"	0.144113
"Lou Merloni"	0.144063
"Mickey Morandini"	0.143868
"Carlos Febles"	0.143833
Veras	0.143421
"Brook Fordyce"	0.14335
"Jose Offerman"	0.142457
"Dean Palmer"	0.141213
"Adam Kennedy"	0.140757
"Craig Counsell"	0.140206
"John Jaha"	0.139915
"Bubba Trammell"	0.139788
"Luis Castillo"	0.139175
"Wilton Guerrero"	0.13901
Ordonez	0.137585
Randa	0.13741
"Craig Biggio"	0.136869
"Brad Fullmer"	0.136503
"Will Clark"	0.136286
"Herbert Perry"	0.135866
"Joey Cora"	0.135483
"Jim Thome"	0.135321
"Todd Zeile"	0.135306
"Raul Ibanez"	0.134909
"Jeff Cirillo"	0.134164
"Matt Mieske"	0.13394
"Fernando Vina"	0.133461
"Todd Pratt"	0.133384
"Frank Catalanotto"	0.133262
"Kurt Abbott"	0.133014
"Benny Agbayani"	0.132761
"Derrek Lee"	0.13236
"David Bell"	0.132207
"Stan Javier"	0.131549
"Harold Baines"	0.131129
"Omar Vizquel"	0.130723
"Mike Bordick"	0.130601
Rolen	0.130592
"Marvin Benard"	0.13001
"Mike Lamb"	0.129276
"Travis Lee"	0.128686
"Matt Williams"	0.128495
"Andy Fox"	0.128252
"Mark McLemore"	0.127348
"Ron Coomer"	0.126972
"Rico Brogna"	0.126597
"Shane Andrews"	0.125823
Alfonzo	0.12529
"Bobby Bonilla"	0.124967
"Bobby Abreu"	0.124835
"Ray Lankford"	0.124103
"John Olerud"	0.124
Bordick	0.123801
"CARLOS HERNANDEZ"	0.123779
"Randy Velarde"	0.123338
Alicea	0.123315
"Edgar Renteria"	0.123213
"Manny Ramirez"	0.122283
"Russ Davis"	0.122281
"Terrence Long"	0.122048
"Joe Randa"	0.121751
"Mike Piazza"	0.121279
"Carlos Guillen"	0.121109
"Rafael Palmeiro"	0.121031
"Keith Lockhart"	0.12096
"Bret Boone"	0.12096
"David Dellucci"	0.120749
"Mike Benjamin"	0.12022
"Jay Buhner"	0.119876
Baerga	0.119058
"Tony Fernandez"	0.119055
"Jay Bell"	0.118368
"Damian Jackson"	0.118266
"Phil Nevin"	0.117824
"Eric Owens"	0.117669
"Pat Burrell"	0.117392
"Sean Berry"	0.117116
"Rickey Henderson"	0.117103
"Bobby Smith"	0.117001
"Scott Rolen"	0.116868
Zeile	0.116799
"Rob Ducey"	0.116697
"Mike Sweeney"	0.116521
"Bill Spiers"	0.1163
"Eric Karros"	0.115448
"Jeff Frye"	0.115399
"Damion Easley"	0.115266
"Jeff Conine"	0.11511
Cirillo	0.114958
"Corey Koskie"	0.114907
"J.T Snow"	0.114734
"Wil Cordero"	0.114127
"Doug Glanville"	0.11412
"Ken Caminiti"	0.114116
Merloni	0.113945
Olerud	0.113868
"Rondell White"	0.113132
"Adrian Beltre"	0.113021
"Jay Payton"	0.112024
"Tyler Houston"	0.111758
"Pokey Reese"	0.111741
"Bobby Higginson"	0.111442
"Jose Hernandez"	0.111425
"Kevin Young"	0.110693
"Bernie Williams"	0.110576
"Cliff Floyd"	0.110399
"Jeff Kent"	0.11024
"Rafael Furcal"	0.110227
"Darryl Hamilton"	0.110053
"Mark Loretta"	0.109765
"Bill Mueller"	0.109746
"Luis Sojo"	0.109603
"Paul Konerko"	0.109301
"Preston Wilson"	0.109183
Agbayani	0.10869
"Marquis Grissom"	0.108681
"Rey Ordonez"	0.108678
Lieberthal	0.108534
"Tim Bogar"	0.108432
"Rich Becker"	0.108225
"Wally Joyner"	0.108194
"Troy Glaus"	0.107618
"Manny Alexander"	0.107615
"Chad Curtis"	0.106888
"Carlos Lee"	0.106703
Nevin	0.106538
"F.P Santangelo"	0.106109
"Wade Boggs"	0.105437
"Sandy Alomar"	0.105287
"Eric Young"	0.104919
"Brian Daubach"	0.104089
"Donnie Sadler"	0.104077
"Gary Gaetti"	0.103713
"Willie Greene"	0.102808
"Matt Luke"	0.102036
"Jose Guillen"	0.101901
"John Vander Wal"	0.101851
"Eddie Taubensee"	0.101747
"Danny Bautista"	0.101725
"Brad Ausmus"	0.101643
"Brady Anderson"	0.101385
"Deivi Cruz"	0.101383
"Dante Bichette"	0.101336
"Trenidad Hubbard"	0.101251
"John Valentin"	0.100248
"Alex Rodriguez"	0.100083
"Melvin Mora"	0.0997708
"Tony Clark"	0.0994243
"Mark Grace"	0.0993289
"Tino Martinez"	0.099234
Karros	0.0989786
"Chipper Jones"	0.0987647
"David Ortiz"	0.0987281
"Steve Finley"	0.0985841
"Cal Ripken"	0.0985416
"Tony Womack"	0.0985304
"Geoff Jenkins"	0.0981682
Konerko	0.0981412
"Mark Grudzielanek"	0.0981372
"David Segui"	0.0979706
Abreu	0.0976807
"Glenallen Hill"	0.09754
))
("Carlos Beltran" (desc 2071.64) (sims
"Rey Sanchez"	0.382126
"Johnny Damon"	0.365635
"Mike Sweeney"	0.331264
"Eric Owens"	0.321135
"Jermaine Dye"	0.310494
"Bruce Aven"	0.308893
"Marvin Benard"	0.271978
"Geoff Jenkins"	0.269365
"Terrence Long"	0.266874
"Carlos Lee"	0.263122
"Joe Randa"	0.260142
"Paul Bako"	0.25654
"Warren Morris"	0.255874
"Bobby Higginson"	0.25554
"Ruben Rivera"	0.255373
"Quinton McCracken"	0.253821
"Doug Glanville"	0.250218
"Damian Jackson"	0.244525
"Preston Wilson"	0.242708
"Richard Hidalgo"	0.230424
"Juan Encarnacion"	0.229635
Vidro	0.229008
"Matt Lawton"	0.225539
"Jay Payton"	0.220371
"Matt Stairs"	0.214807
"Mark Kotsay"	0.214483
"Brady Anderson"	0.214198
"Lance Johnson"	0.212924
"Tom Goodwin"	0.212553
"Melvin Mora"	0.212487
"Jose Cruz Jr."	0.212202
"Rondell White"	0.21175
"Ray Lankford"	0.211608
Randa	0.211234
"Bobby Abreu"	0.210707
"Paul Konerko"	0.210522
"Joe McEwing"	0.20898
"Stan Javier"	0.208318
"Carlos Febles"	0.20782
"Darren Lewis"	0.207478
"Luis Gonzalez"	0.206887
"Jose Guillen"	0.205976
"Ray Durham"	0.203553
"Tim Bogar"	0.201775
"Bill Mueller"	0.200911
"Damian Miller"	0.199192
"Mike Cameron"	0.198922
"Dean Palmer"	0.198709
"Eric Chavez"	0.198004
"Ron Coomer"	0.197596
"Herbert Perry"	0.194708
"Brian Hunter"	0.194576
"Shannon Stewart"	0.192133
"Phil Nevin"	0.191708
"Miguel Tejada"	0.191634
"Enrique Wilson"	0.191213
"Peter Bergeron"	0.190991
"Corey Koskie"	0.189957
"Al Martin"	0.189454
"Ben Grieve"	0.189203
"Russ Johnson"	0.18758
Rolen	0.185437
"Dmitri Young"	0.18507
"David Ortiz"	0.184949
"Gabe Kapler"	0.183951
"Mike Lowell"	0.183142
"Pat Burrell"	0.182834
"Jeff Conine"	0.182447
Giambi	0.181475
"Henry Rodriguez"	0.18037
"Jeffrey Hammonds"	0.179871
"Scott Rolen"	0.179685
"Mark Loretta"	0.179337
"Marquis Grissom"	0.179192
"John Vander Wal"	0.178786
"Scott Spiezio"	0.178131
"Damon Buford"	0.177941
Lankford	0.177891
"Tony Eusebio"	0.177886
"Luis Castillo"	0.177794
"Richie Sexson"	0.177726
"Darryl Hamilton"	0.177683
"Todd Hollandsworth"	0.177409
"Deivi Cruz"	0.177166
"Todd Walker"	0.177086
"Dave Martinez"	0.176547
"Reggie Sanders"	0.17632
"Einar Diaz"	0.17503
"Gerald Williams"	0.175007
"Chris Widger"	0.174016
"Jeff Cirillo"	0.173761
"Brant Brown"	0.173565
"Devon White"	0.173533
"F.P Santangelo"	0.173449
"Kenny Lofton"	0.172989
"Cristian Guzman"	0.171926
"Matt Franco"	0.171454
"Luis Alicea"	0.170983
"Kevin Young"	0.170948
"Trot Nixon"	0.17091
"Tony Batista"	0.169915
"J.D Drew"	0.169239
"Benny Agbayani"	0.169192
"Shawn Green"	0.169063
"Pokey Reese"	0.168969
"Ron Gant"	0.16862
"Butch Huskey"	0.168484
"Travis Fryman"	0.168359
"Steve Finley"	0.16785
"Derrek Lee"	0.167811
"Tony Phillips"	0.167387
"Jason Varitek"	0.167228
Sexson	0.166822
"Mickey Morandini"	0.16632
"Kelly Stinnett"	0.165376
"Danny Bautista"	0.165297
"Ozzie Guillen"	0.165151
"Karim Garcia"	0.164553
"Rich Becker"	0.164253
"Jason Giambi"	0.164071
"Dante Bichette"	0.163445
"Matt Luke"	0.163385
"Mike Lamb"	0.162967
"Mike Lieberthal"	0.162683
"Ellis Burks"	0.162467
"Andruw Jones"	0.162414
"Dave Hansen"	0.162145
"Kevin Stocker"	0.162074
"Garret Anderson"	0.161979
"Midre Cummings"	0.161963
"Brian Giles"	0.161626
"Neifi Perez"	0.161566
"Darin Erstad"	0.161162
"Roger Cedeno"	0.161142
"Darren Bragg"	0.160688
"Bubba Trammell"	0.15975
"Carl Everett"	0.159616
Aurilia	0.15939
"John Mabry"	0.159386
"Eddie Taubensee"	0.15922
"Pat Meares"	0.158981
"Orlando Palmeiro"	0.158229
Fullmer	0.157925
"Lenny Harris"	0.157667
Burnitz	0.157065
"Michael Tucker"	0.156813
"Luis Polonia"	0.156663
Higginson	0.155458
Cirillo	0.155154
"Mark Grudzielanek"	0.155078
"Jeremy Giambi"	0.154676
"Bill Spiers"	0.154504
"Bengie Molina"	0.154226
"B.J Surhoff"	0.153986
Abreu	0.153807
"Brian McRae"	0.153518
"Miguel Cairo"	0.153421
Renteria	0.153359
"Jose Offerman"	0.152505
Spiers	0.152123
"Rusty Greer"	0.151744
"Troy Glaus"	0.151664
Bordick	0.151544
"Eric Young"	0.151295
"Jason McDonald"	0.150907
"Wil Cordero"	0.150803
Glanville	0.150594
"Gary Sheffield"	0.150042
"Adam Kennedy"	0.149731
"Derek Bell"	0.149549
"Randy Velarde"	0.149285
"Trenidad Hubbard"	0.14904
"Mike Benjamin"	0.148817
"Travis Lee"	0.148762
"Quilvio Veras"	0.148111
"Rob Ducey"	0.147922
"Chad Curtis"	0.147226
"Vladimir Guerrero"	0.146697
"Todd Pratt"	0.146459
"Wally Joyner"	0.146305
Alicea	0.146252
"Lance Berkman"	0.146143
"Brad Ausmus"	0.144686
"Otis Nixon"	0.144591
"Daryle Ward"	0.144279
"Andy Fox"	0.144116
"David Bell"	0.144069
"Brian Johnson"	0.144014
"Cliff Floyd"	0.143949
"Brian Jordan"	0.143943
"Gregg Jefferies"	0.143779
"Tim Salmon"	0.143751
"Carlos Guillen"	0.142848
"John Valentin"	0.142133
"Adrian Beltre"	0.141367
"Jay Bell"	0.141328
"Tony Womack"	0.141101
"Manny Alexander"	0.141092
"Jose Hernandez"	0.140799
"Roberto Kelly"	0.140685
"Bernard Gilkey"	0.140514
"Todd Helton"	0.140202
"Bobby Estalella"	0.140067
"Raul Mondesi"	0.139565
"Rich Aurilia"	0.138284
"Ricky Ledee"	0.138171
"Jeff Bagwell"	0.137904
"Ricky Gutierrez"	0.137095
"Mike Bordick"	0.137
"Jim Edmonds"	0.136268
"Magglio Ordonez"	0.136243
"Jeff Kent"	0.135832
Lieberthal	0.13576
"Rico Brogna"	0.135487
"GERONIMO BERROA"	0.13499
"Edgardo Alfonzo"	0.134619
"Damion Easley"	0.13445
"Jose Vidro"	0.134433
"Royce Clayton"	0.132768
McGriff	0.132686
"Troy O'Leary"	0.132659
"Shawon Dunston"	0.132556
"Ruben Mateo"	0.132533
"Jeff King"	0.132317
"Desi Relaford"	0.132301
"Charlie Hayes"	0.131956
"David Segui"	0.131133
"Jorge Fabregas"	0.130945
"Carlos Delgado"	0.130788
"Luis Lopez"	0.130738
"Sean Casey"	0.130497
"Chris Gomez"	0.130469
"Edgar Martinez"	0.130053
"Keith Lockhart"	0.129949
"Eric Karros"	0.129589
"Mike Simms"	0.129439
"David Dellucci"	0.129296
"J.T Snow"	0.129131
"Shane Spencer"	0.129012
Veras	0.128968
"Craig Counsell"	0.128967
"Brad Fullmer"	0.128906
"Fred McGriff"	0.128798
"Benji Gil"	0.128771
"Walt Weiss"	0.12864
"Mike Lansing"	0.128454
"Lee Stevens"	0.128363
"Fernando Vina"	0.12821
Frye	0.128041
"Rickey Henderson"	0.128028
"Jeromy Burnitz"	0.128025
Alfonzo	0.127684
"Wilton Veras"	0.127454
Varitek	0.127292
"Clay Bellinger"	0.127107
"Aaron Boone"	0.126734
"Mike Stanley"	0.126716
"Bernie Williams"	0.126677
"Brent Mayne"	0.126236
"Edgar Renteria"	0.126094
"Jose Valentin"	0.126015
"Glenallen Hill"	0.125785
"Brian Daubach"	0.125647
"Alex Gonzalez"	0.125291
"Matt Walbeck"	0.124242
"Kevin Orie"	0.123064
"John Olerud"	0.122907
Olerud	0.12258
"Barry Larkin"	0.122545
"Dan Wilson"	0.122102
"CARLOS HERNANDEZ"	0.121814
Beltran	0.121765
"Chuck Knoblauch"	0.121533
"Jay Buhner"	0.120528
"Todd Greene"	0.12047
Glaus	0.120315
Velarde	0.120136
Offerman	0.120087
Tatis	0.119977
"Erubiel Durazo"	0.119661
"Jon Nunnally"	0.119344
McLemore	0.119214
"Ryan Klesko"	0.11898
"Ken Caminiti"	0.118839
"Javy Lopez"	0.118784
DeShields	0.118503
"Albert Belle"	0.118473
"Randall Simon"	0.118371
"Raul Ibanez"	0.118267
"Joe Carter"	0.117915
Lawton	0.116996
"Kevin Jordan"	0.116883
"Omar Vizquel"	0.11686
"Paul O'Neill"	0.116812
"Chili Davis"	0.116406
"Jose Vizcaino"	0.116384
"Rey Ordonez"	0.115814
Erstad	0.115487
"Robin Ventura"	0.115316
"Brook Fordyce"	0.115018
"Greg Vaughn"	0.114519
"Ed Sprague"	0.113719
"Marty Cordova"	0.113406
Bautista	0.113236
"Jason Kendall"	0.113236
Loretta	0.113048
Konerko	0.112689
"Luis Sojo"	0.112395
"Manny Ramirez"	0.111769
"Moises Alou"	0.111452
"Scott Brosius"	0.111443
"Mike Caruso"	0.111219
"Delino DeShields"	0.111214
"Mac Suzuki"	0.110194
"Ivan Rodriguez"	0.109973
Batista	0.109851
"Tony Graffanino"	0.109844
"Mark McLemore"	0.109704
"Fernando Tatis"	0.109645
Walbeck	0.10924
Guillen	0.109182
Gant	0.108956
Agbayani	0.108766
"Kurt Abbott"	0.10858
"Bret Boone"	0.108323
"Tony Gwynn"	0.108115
"Jim Thome"	0.107727
"Matt Williams"	0.107591
"Harold Baines"	0.10736
"Alex Rodriguez"	0.106998
"Matt Mieske"	0.106525
Vizquel	0.106464
"Bobby Smith"	0.106287
"Barry Bonds"	0.105961
"Craig Biggio"	0.105615
Nevin	0.105324
"Tino Martinez"	0.105089
"Dave Hollins"	0.105051
Stinnett	0.104974
"Jeff Huson"	0.104869
"Larry Walker"	0.104463
"Tony Clark"	0.104397
"Willie Greene"	0.104218
"Russ Davis"	0.103481
"Chad Kreuter"	0.103342
"Lou Merloni"	0.103307
Kapler	0.102817
Cedeno	0.102547
Mabry	0.102308
Karros	0.101894
"Mark Grace"	0.101804
Huskey	0.101764
"Chipper Jones"	0.101625
"Sandy Alomar"	0.101482
Taubensee	0.101307
Biggio	0.101172
Segui	0.100927
"Cecil Fielder"	0.100629
Valentin	0.100542
Ordonez	0.100316
"Frank Thomas"	0.100315
"Bobby Bonilla"	0.100257
Tejada	0.100144
))
("Carlos Costa" (desc 1891.32) (sims
"Albert Portas"	0.535096
"Alberto Berasategui"	0.478334
"Magui Serna"	0.437979
"Francisco Clavet"	0.435126
"Javier Sanchez"	0.43454
"Galo Blanco"	0.419877
"Sergi Bruguera"	0.417385
"Albert Costa"	0.41229
"Alberto Costa"	0.380359
"Felix Mantilla"	0.366183
"Julian Alonso"	0.362074
"Juan Antonio Marin"	0.360778
"Nathalie Dechy"	0.354949
"Vincent Spadea"	0.35468
"Sarah Pitkowski"	0.353329
"Judith Wiesner"	0.344896
"Karim Alami"	0.343554
"Juan Carlos Ferrero"	0.337057
"Mariano Puerta"	0.332517
"Christian Ruud"	0.329786
"Hernan Gumy"	0.325599
"Conchita Martinez"	0.322546
"MaliVai Washington"	0.318989
"Silvia Farina"	0.318768
"Nicolas Escude"	0.3187
"Arnaud Clement"	0.318237
"Younes El Aynaoui"	0.317585
"Mariano Zabaleta"	0.317171
"Magdalena Maleeva"	0.316274
"Sabine Appelmans"	0.314077
"Anne Kremer"	0.314016
"Barbara Paulus"	0.313667
"Arnaud Boetsch"	0.313479
"Andrei Pavel"	0.313346
"Elena Likhovtseva"	0.309746
"Jeff Tarango"	0.309226
"Adrian Voinea"	0.306791
"Arantxa Sanchez-Vicario"	0.305691
"Asa Carlsson"	0.304509
"Richard Fromberg"	0.304486
"Ramon Delgado"	0.303443
"Joannette Kruger"	0.303368
"Andrew Ilie"	0.303076
"Richey Reneberg"	0.300932
"Grant Stafford"	0.299523
"Florencia Labat"	0.297385
"Fabrice Santoro"	0.297149
"Arantxa Sanchez Vicario"	0.297123
"Jerome Golmard"	0.296921
"Andrea Gaudenzi"	0.296224
"Carlos Moya"	0.295677
"Alex Corretja"	0.295022
"Kenneth Carlsen"	0.293362
"Yayuk Basuki"	0.292845
"Michael Tebbutt"	0.292439
"Olga Barabanschikova"	0.291407
"Andreas Vinciguerra"	0.29037
"Sargis Sargsian"	0.290355
"Irina Spirlea"	0.286148
"Naoko Sawamatsu"	0.285918
"Ruxandra Dragomir"	0.284327
"Tatiana Panova"	0.279141
"Xavier Malisse"	0.278789
"Gianluca Pozzi"	0.278583
"Andrei Medvedev"	0.27814
"Mikael Tillstrom"	0.278111
"Arnaud Di Pasquale"	0.276838
"Fernando Meligeni"	0.276822
"Sandrine Testud"	0.276702
"Brenda Schultz-McCarthy"	0.275789
"Davide Sanguinetti"	0.273673
"Amy Frazier"	0.273407
"Magnus Gustafsson"	0.270357
"Nicolas Kiefer"	0.269652
"Alexandra Fusai"	0.26962
"Dominique Van Roost"	0.268967
"Tara Snyder"	0.268807
"Renzo Furlan"	0.268413
"Cara Black"	0.267637
"Franco Squillari"	0.267475
"Steve Campbell"	0.266199
"Marcos Ondruska"	0.266039
"Marcelo Filippini"	0.265968
"Byron Black"	0.264506
"Filip Dewulf"	0.264274
"Tim Henman"	0.263395
"Dominik Hrbaty"	0.262003
"Rita Grande"	0.261641
"Gustavo Kuerten"	0.260936
"Barbara Rittner"	0.25979
"Guillaume Raoux"	0.259492
"Rainer Schuttler"	0.258902
"Thomas Enqvist"	0.258693
"Scott Draper"	0.258078
"Jason Stoltenberg"	0.257911
"Magnus Norman"	0.256611
"Wayne Ferreira"	0.256313
"Jonas Bjorkman"	0.255351
"Sebastien Grosjean"	0.255162
"Anke Huber"	0.254639
"Paul Haarhuis"	0.254083
"Barbara Schett"	0.253475
"Thomas Johansson"	0.252952
"Kimiko Date"	0.2519
"Amanda Coetzer"	0.251099
"Sjeng Schalken"	0.250796
"Julie Halard-Decugis"	0.249996
"Neville Godwin"	0.249571
"Miriam Oremans"	0.248766
"David Prinosil"	0.248335
"Ai Sugiyama"	0.247881
"Nathalie Tauziat"	0.247499
"Sebastien Lareau"	0.246448
"Tommy Haas"	0.246439
"Catalina Cristea"	0.245726
"Nicolas Lapentti"	0.245497
"Marc Rosset"	0.244438
"Marat Safin"	0.24368
"Nicole Pratt"	0.243393
"Li Fang"	0.242882
"Els Callens"	0.242523
"Patty Schnyder"	0.240524
"Roger Federer"	0.239944
"Chris Woodruff"	0.239916
"Daniel Nestor"	0.239418
"Hicham Arazi"	0.238774
"Brett Steven"	0.238295
"Todd Woodbridge"	0.237878
"John Van Lottum"	0.237856
"Magnus Larsson"	0.237537
"Cedric Pioline"	0.237194
"Mahesh Bhupathi"	0.237131
"Jan-Michael Gambill"	0.235478
"Jonathan Stark"	0.235048
"Alex O'Brien"	0.234922
"Greg Rusedski"	0.234699
"Goran Ivanisevic"	0.234593
"Andres Gomez"	0.233675
"Corina Morariu"	0.233656
"Kristie Boogert"	0.233131
"Bohdan Ulihrach"	0.233075
"Natasha Zvereva"	0.2313
"Chanda Rubin"	0.230317
"Jiri Novak"	0.230005
"Mark Knowles"	0.229578
"Karol Kucera"	0.229223
"Iva Majoli"	0.228102
"Michael Chang"	0.227671
"Lisa Raymond"	0.227257
"Kim Clijsters"	0.226486
"Tamarine Tanasugarn"	0.226159
"Anne-Gaelle Sidot"	0.225656
Siemerink	0.225394
"Mark Woodforde"	0.225281
"Wayne Black"	0.225136
"Petr Korda"	0.225093
"Leander Paes"	0.222312
Halard-Decugis	0.222182
"Amelie Mauresmo"	0.221729
"Daniel Vacek"	0.218881
"Paola Suarez"	0.214886
"Henrieta Nagyova"	0.21339
"Max Mirnyi"	0.213306
"Vince Spadea"	0.212862
"Mary Pierce"	0.212219
"Kimberly Po"	0.212172
"Martin Damm"	0.212151
"Karina Habsudova"	0.211225
"Guy Forget"	0.210292
"Jacco Eltingh"	0.209462
"Richard Krajicek"	0.208859
"Elena Dementieva"	0.208187
"Todd Martin"	0.207712
"Zhang Ning"	0.202898
"Mary Joe Fernandez"	0.200745
"American Chanda Rubin"	0.195564
"Peter Nicol"	0.195128
"Yevgeny Kafelnikov"	0.194545
"Jim Courier"	0.192584
"Mark Philippoussis"	0.192523
"Slava Dosedel"	0.191194
"Michael Stich"	0.190837
"Marcelo Rios"	0.190501
"Kveta Hrdlickova"	0.190009
"Dennis van Scheppingen"	0.189526
"Russian Yevgeny Kafelnikov"	0.18794
"Thomas Muster"	0.187327
"Nicklas Kulti"	0.183653
Berasategui	0.181989
"Patrick Rafter"	0.181837
"Mirjana Lucic"	0.180851
"Denisa Chladkova"	0.180808
"Rodney Eyles"	0.180327
"Wayne Arthurs"	0.179409
"Lleyton Hewitt"	0.177771
"Stefan Edberg"	0.177536
"Monica Seles"	0.177374
"Jennifer Capriati"	0.177339
"Justin Gimelstob"	0.177214
Bruguera	0.176803
"Lori McNeil"	0.176763
"Jana Novotna"	0.175971
"Fernando Escartin"	0.174299
"Gong Zhichao"	0.173104
"Adriana Gersi"	0.173078
Dragomir	0.171745
"South African Amanda Coetzer"	0.171151
"Sandon Stolle"	0.17105
"Janet Lee"	0.170893
"Rika Hiraki"	0.170567
"Pat Rafter"	0.168433
Stoltenberg	0.167247
Clavet	0.166256
"Partizan Belgrade"	0.165455
"Olivier Delaitre"	0.165245
"Anna Kournikova"	0.164783
"American Todd Martin"	0.163553
Ulihrach	0.162942
"Australian Mark Philippoussis"	0.162217
Swardt	0.161478
"Lindsay Davenport"	0.161315
"Peter Rasmussen"	0.161109
Mantilla	0.159516
Schett	0.158909
"Athletic Bilbao"	0.157325
"Barbara Schwartz"	0.155458
"Atletico Madrid"	0.155271
"Camilla Martin"	0.154836
Nacional	0.154527
"Wang Shi-Ting"	0.153702
"Gong Ruina"	0.153601
"Jelena Dokic"	0.152837
"Fung Permadi"	0.151851
Coetzer	0.150697
"Ong Ewe Hock"	0.149695
"Serena Williams"	0.148786
"Venus Williams"	0.148743
"Carlos Sainz"	0.148505
"Abraham Olano"	0.146765
Kroslak	0.144477
"Diego Nargiso"	0.144296
Dosedel	0.144065
"Miguel Indurain"	0.142929
Sevilla	0.141948
"Real Betis"	0.141623
"Helena Sukova"	0.139655
"Paul Goldstein"	0.13957
"Wang Chen"	0.137441
Testud	0.135975
"Dai Yun"	0.135357
"Briton Greg Rusedski"	0.13503
"Mats Wilander"	0.13471
Enqvist	0.133894
"American Pete Sampras"	0.133856
"American Lindsay Davenport"	0.133839
"Ye Zhaoying"	0.133794
"Andre Agassi"	0.133611
"Miguel Angel Jimenez"	0.133486
Kafelnikov	0.132894
"Chen Gang"	0.13165
Hrbaty	0.131596
Olimpia	0.131167
Likhovtseva	0.130365
"Boris Becker"	0.130342
Sanchez-Vicario	0.129819
"Martina Hingis"	0.129437
"Sanchez Vicario"	0.129412
Kucera	0.128937
"American Andre Agassi"	0.1286
Sugiyama	0.128496
"Sandra Kleinova"	0.128108
"Katarina Studenikova"	0.128024
"DON JOHNSON"	0.127869
Mauresmo	0.127647
"Larisa Neiland"	0.12689
"American Michael Chang"	0.126082
Rusedski	0.125802
Moya	0.125435
"Jimmy Connors"	0.12501
Habsudova	0.124661
Estudiantes	0.124565
"Colo Colo"	0.124401
"Alexandra Stevenson"	0.124278
"Steffi Graf"	0.124189
"Slavia Prague"	0.123717
Zamalek	0.123526
Raoux	0.122828
"Deportivo Coruna"	0.122696
"Budi Santoso"	0.122525
Pioline	0.122493
"Celta Vigo"	0.122239
Henman	0.122012
Independiente	0.121712
"Yang Ying"	0.121491
"Mia Audina"	0.121479
Anderlecht	0.120741
Majoli	0.120695
"Joko Suprianto"	0.119264
Corretja	0.11869
"Simon Archer"	0.118551
Bjorkman	0.118278
Haarhuis	0.118213
"Phenix City"	0.117574
"Olympiakos Piraeus"	0.116938
Kuerten	0.115569
Spadea	0.115049
"Xia Xuanze"	0.114497
Edberg	0.114162
Hendrawan	0.113097
"Real Madrid"	0.11253
"Bjorn Borg"	0.112403
rios	0.112109
"Paul Johnson"	0.111438
Rosset	0.111427
"Wang Liqin"	0.111276
Prinosil	0.110737
"VfB Stuttgart"	0.110273
Korda	0.10956
Safin	0.108559
Penarol	0.108438
Heerenveen	0.107706
Valencia	0.107705
Nicol	0.10766
Espanyol	0.107198
Starzz	0.106707
"Cheah Soon Kit"	0.106582
Krajicek	0.10611
"Rashid Sidek"	0.105729
"Spartak Moscow"	0.104965
Johansson	0.104048
"Velez Sarsfield"	0.103459
Cruzeiro	0.103364
Ivanisevic	0.102894
Gustafsson	0.102749
Kiefer	0.10232
"Bradford City"	0.101722
Gimelstob	0.101457
"Pete Sampras"	0.101046
"King Juan Carlos"	0.101033
Puerta	0.100613
Kasparov	0.100485
Palmeiras	0.100467
Damm	0.100192
"River Plate"	0.100022
))
("Carlos Delgado" (desc 5979.16) (sims
"Tony Batista"	0.26862
"Jim Thome"	0.248017
"Shannon Stewart"	0.243057
"Alex Gonzalez"	0.230026
"Eric Karros"	0.226688
Delgado	0.221072
"Jason Giambi"	0.217892
"Rafael Palmeiro"	0.215974
"Fred McGriff"	0.204743
"Manny Ramirez"	0.202954
"Edgar Martinez"	0.198088
"Gary Sheffield"	0.195736
Karros	0.194928
"John Olerud"	0.194836
"Geoff Jenkins"	0.193874
"Brad Fullmer"	0.193286
"Mike Sweeney"	0.190057
"Jeff Bagwell"	0.188483
"Derrek Lee"	0.186094
"Adrian Beltre"	0.184669
"Richie Sexson"	0.184153
"Darrin Fletcher"	0.183644
"Ron Coomer"	0.181777
"Mike Bordick"	0.180547
"Shawn Green"	0.179404
"Barry Bonds"	0.179348
"Mike Stanley"	0.176698
"Mark Grace"	0.176656
"Todd Helton"	0.175987
"Jay Buhner"	0.175508
"Frank Thomas"	0.174012
"Jeff Conine"	0.173156
"Matt Stairs"	0.172966
"Phil Nevin"	0.1728
"Dean Palmer"	0.172622
"Scott Rolen"	0.172459
"David Bell"	0.171644
"Will Clark"	0.171587
"Tino Martinez"	0.170254
"Scott Spiezio"	0.170054
"Paul Konerko"	0.169679
"Magglio Ordonez"	0.169679
"Nomar Garciaparra"	0.169556
Lankford	0.168964
"Quilvio Veras"	0.168708
"Kevin Young"	0.168497
"Ryan Klesko"	0.168459
"John Valentin"	0.168335
"Eric Owens"	0.167997
"Edgardo Alfonzo"	0.167666
"Ken Caminiti"	0.167638
"Glenallen Hill"	0.167088
"David Segui"	0.165573
"Craig Biggio"	0.164586
"David Ortiz"	0.16296
"Vladimir Guerrero"	0.162636
"B.J Surhoff"	0.162463
"Jose Offerman"	0.162366
Thome	0.162326
"Brady Anderson"	0.162104
"Troy O'Leary"	0.161874
"Marvin Benard"	0.161854
"Todd Zeile"	0.161398
"Ray Durham"	0.161234
"Jay Bell"	0.16109
"Darin Erstad"	0.160958
"Troy Glaus"	0.160699
"Travis Lee"	0.159373
"Sean Casey"	0.159273
"Preston Wilson"	0.158548
"Travis Fryman"	0.158338
"Dave Hansen"	0.158121
McGriff	0.157621
Rolen	0.157201
"Erubiel Durazo"	0.156451
"Andres Galarraga"	0.156331
"Wally Joyner"	0.155917
"Joe Randa"	0.155646
"Jermaine Dye"	0.154871
"Andy Fox"	0.154823
"Mark Grudzielanek"	0.154435
"Raul Mondesi"	0.153406
"Ivan Rodriguez"	0.15286
"Tony Eusebio"	0.15254
"John Jaha"	0.151722
"Trot Nixon"	0.151632
"J.T Snow"	0.151561
"Jason Varitek"	0.151554
"Gerald Williams"	0.151241
Giambi	0.151109
"Jose Hernandez"	0.149799
"Jose Cruz Jr."	0.149681
"Darren Lewis"	0.149319
"Kenny Lofton"	0.14892
"Jeff Kent"	0.148297
"John Vander Wal"	0.147997
"Brian Daubach"	0.147139
"Greg Vaughn"	0.146996
"Derek Bell"	0.146919
"Devon White"	0.146396
"Andruw Jones"	0.146291
"Lee Stevens"	0.145651
"Jose Canseco"	0.145519
"Ed Sprague"	0.145256
"Garret Anderson"	0.14501
"Matt Lawton"	0.144555
Fullmer	0.144478
"Tim Bogar"	0.144362
"Tony Clark"	0.144218
"Roberto Alomar"	0.144031
"Brian Hunter"	0.143691
Palmeiro	0.143646
"Todd Hundley"	0.143574
"Rico Brogna"	0.143353
"Scott Brosius"	0.143045
"Damian Miller"	0.142755
"Deivi Cruz"	0.142654
"Pat Burrell"	0.142571
Burnitz	0.142234
"Mark Kotsay"	0.142148
"Matt Williams"	0.14149
"Vinny Castilla"	0.141363
"Chipper Jones"	0.140734
Olerud	0.140715
"Tim Salmon"	0.13972
"Bill Mueller"	0.139565
"Doug Glanville"	0.139419
"Warren Morris"	0.139249
"Mark Loretta"	0.138487
"Delino DeShields"	0.138072
"Mark McLemore"	0.13805
"Butch Huskey"	0.137592
Aurilia	0.136786
"Derek Jeter"	0.136067
"Marty Cordova"	0.135703
"Luis Gonzalez"	0.135214
"Todd Pratt"	0.134544
"Dave Martinez"	0.134265
"Dante Bichette"	0.133965
Erstad	0.133911
"Mike Piazza"	0.133648
Vidro	0.133607
"Bernie Williams"	0.13211
"Carlos Lee"	0.132029
"Alex Rodriguez"	0.131457
Sexson	0.131203
Alfonzo	0.131077
"Mike Cameron"	0.131028
"Bobby Higginson"	0.130925
"Juan Gonzalez"	0.130895
"Carlos Beltran"	0.130788
Bagwell	0.130735
"Willie Greene"	0.130415
"Jim Leyritz"	0.130335
Vaughn	0.129586
"Randy Velarde"	0.12941
"Ben Grieve"	0.129254
"Todd Hollandsworth"	0.128975
"Henry Rodriguez"	0.128965
"Jose Valentin"	0.128785
"Mo Vaughn"	0.128681
"Javy Lopez"	0.12868
Abreu	0.128469
"Harold Baines"	0.127864
"Russ Davis"	0.127796
"Adam Kennedy"	0.127259
"Rusty Greer"	0.127099
Batista	0.127004
"Robin Ventura"	0.126988
"Johnny Damon"	0.126824
Higginson	0.126377
"Al Martin"	0.12631
Castilla	0.126009
"Chuck Knoblauch"	0.125899
"Reggie Sanders"	0.125144
"Chili Davis"	0.124849
"Pat Hentgen"	0.124443
"Royce Clayton"	0.124411
"Cal Ripken"	0.123978
"Moises Alou"	0.123375
"Chad Curtis"	0.122998
"Raul Ibanez"	0.122621
"Chris Widger"	0.122597
"Jeremy Giambi"	0.122502
"Damion Easley"	0.122342
"Jose Vidro"	0.122332
"Jim Edmonds"	0.12229
"Bret Boone"	0.122211
"Steve Finley"	0.122152
"Brian Giles"	0.121787
"Orlando Palmeiro"	0.121342
Glaus	0.120951
"Russ Johnson"	0.120797
"Miguel Tejada"	0.12079
"Jose Guillen"	0.120493
"Neifi Perez"	0.120471
"Matt Walbeck"	0.120459
"Luis Alicea"	0.120235
"Bubba Trammell"	0.12019
Grudzielanek	0.120106
"Eric Young"	0.119932
"Brian Jordan"	0.119821
Cirillo	0.119765
"Miguel Cairo"	0.119373
"Chris Carpenter"	0.119285
"Eric Chavez"	0.119012
"Joe McEwing"	0.118986
"Kevin Stocker"	0.118938
"Bill Spiers"	0.118873
"Jeff Cirillo"	0.118426
"Ken Griffey Jr."	0.118168
"Barry Larkin"	0.118092
"Damian Jackson"	0.118077
"Mike Lieberthal"	0.118066
"Bobby Abreu"	0.117943
"Kelly Stinnett"	0.11793
"Rich Aurilia"	0.11723
"Paul Bako"	0.116966
"Pat Meares"	0.116922
"Walt Weiss"	0.116625
"Benny Agbayani"	0.116602
"CARLOS HERNANDEZ"	0.116446
"Matt Franco"	0.116243
"Richard Hidalgo"	0.115981
"Cliff Floyd"	0.115473
"Rondell White"	0.115458
"Ricky Ledee"	0.115368
"Rickey Henderson"	0.115134
Renteria	0.115033
"Dan Wilson"	0.114968
"Bruce Aven"	0.114883
"Ruben Rivera"	0.114726
"Luis Castillo"	0.114719
"Eddie Taubensee"	0.114716
"Ricky Gutierrez"	0.114555
Garciaparra	0.114476
Randa	0.114343
"Kevin Jordan"	0.113978
"Ellis Burks"	0.113726
"Ozzie Guillen"	0.113717
"Cristian Guzman"	0.113715
"Tom Goodwin"	0.113568
Valentin	0.113413
"Jeromy Burnitz"	0.113124
"Stan Javier"	0.112774
"Jeff King"	0.112285
"Darren Bragg"	0.112135
Alicea	0.11199
Daubach	0.111273
Nevin	0.110934
"Mike Lamb"	0.110502
"Corey Koskie"	0.109799
"Carl Everett"	0.109689
"Jorge Posada"	0.109386
"Herbert Perry"	0.109289
Biggio	0.109142
"Quinton McCracken"	0.109092
"Paul O'Neill"	0.109047
"Omar Vizquel"	0.108675
"Fernando Tatis"	0.108297
"Tony Gwynn"	0.108043
"Albert Belle"	0.107915
"Damon Buford"	0.107648
Galarraga	0.107513
"Marquis Grissom"	0.107323
"Roger Cedeno"	0.106169
Zeile	0.105995
"Todd Walker"	0.105876
"Mike Benjamin"	0.105691
"Larry Walker"	0.105225
"Ray Lankford"	0.105065
"Mickey Morandini"	0.104879
"Lance Berkman"	0.104762
"Charles Johnson"	0.104204
"Pokey Reese"	0.104068
"Cecil Fielder"	0.103976
"Tony Phillips"	0.10379
Lieberthal	0.103751
Agbayani	0.103603
"Luis Polonia"	0.103041
"Dmitri Young"	0.102861
"Chris Gomez"	0.102852
Veras	0.10285
"Jason Kendall"	0.102738
Tejada	0.102398
Alomar	0.102121
"Chad Kreuter"	0.101345
"Bengie Molina"	0.101155
Offerman	0.101004
"Bobby Bonilla"	0.100933
"Reggie Jefferson"	0.100886
"Charlie Hayes"	0.10084
Buhner	0.100835
"Melvin Mora"	0.100825
"Michael Tucker"	0.10073
"John Mabry"	0.100634
"Edgar Renteria"	0.100502
"Jay Payton"	0.100477
"Brian McRae"	0.100435
"Jeffrey Hammonds"	0.100115
))
("Carlos Febles" (desc 1547.67) (sims
"Joe Randa"	0.294219
"Mike Sweeney"	0.272589
"Erubiel Durazo"	0.227354
"Warren Morris"	0.224781
"Damian Jackson"	0.223328
"Jermaine Dye"	0.218914
"Luis Castillo"	0.212754
"Fernando Vina"	0.210811
"Carlos Beltran"	0.20782
"Johnny Damon"	0.201258
"Herbert Perry"	0.195086
"Miguel Cairo"	0.194318
"Frank Catalanotto"	0.19138
"Kevin Jordan"	0.19019
"Craig Paquette"	0.190006
"Pokey Reese"	0.188319
"Carlos Guillen"	0.187449
"Jose Vidro"	0.186362
"Pat Burrell"	0.18285
"Adam Kennedy"	0.182773
"Lou Merloni"	0.181085
"Enrique Wilson"	0.175579
"Mickey Morandini"	0.173837
Randa	0.173254
"Ray Durham"	0.172301
"Mike Lansing"	0.172011
"Bobby Smith"	0.171846
"Joe McEwing"	0.166869
"Wilton Veras"	0.165445
"Delino DeShields"	0.165318
"Damion Easley"	0.164907
"Luis Alicea"	0.162798
"Tony Batista"	0.161746
"Todd Walker"	0.161617
"Scott Spiezio"	0.156653
"Quilvio Veras"	0.156418
"Rafael Furcal"	0.156017
"Dean Palmer"	0.153726
Veras	0.152725
"Jeff Huson"	0.15215
"David Bell"	0.151911
"Rey Sanchez"	0.151215
"Randy Velarde"	0.150455
"Jose Offerman"	0.15036
"Jeff King"	0.149122
"Jeff Frye"	0.146877
"David Dellucci"	0.145497
"Luis Lopez"	0.144079
"Carlos Baerga"	0.143833
"Clay Bellinger"	0.142226
"Derrek Lee"	0.142031
"Craig Counsell"	0.14114
"Jeff Cirillo"	0.140915
"Mike Benjamin"	0.140577
"Jeff Kent"	0.140126
"Bill Mueller"	0.139301
"Eric Chavez"	0.13808
"Mike Lamb"	0.137577
"Joey Cora"	0.137199
"Jeremy Giambi"	0.13646
"Marvin Benard"	0.136394
"Paul Konerko"	0.136257
"Donnie Sadler"	0.135921
"Matt Franco"	0.135497
"Shane Andrews"	0.134525
"Kevin Young"	0.134464
"Tony Fernandez"	0.133554
"Wilton Guerrero"	0.132686
"Russ Johnson"	0.132669
"Mike Lowell"	0.131659
"Rich Aurilia"	0.129962
Merloni	0.128925
"Eric Owens"	0.12881
"Jose Hernandez"	0.128495
"Edgardo Alfonzo"	0.12601
"Scott Rolen"	0.125766
"Tony Graffanino"	0.124911
"Eric Young"	0.123641
"Travis Lee"	0.123419
"Doug Glanville"	0.121663
"Ron Coomer"	0.121501
"Quinton McCracken"	0.120608
"Keith Lockhart"	0.119689
"Travis Fryman"	0.119324
"Willie Greene"	0.118994
"Magglio Ordonez"	0.118903
"Mark Loretta"	0.118427
Rolen	0.117309
"Phil Nevin"	0.116674
"Mark McLemore"	0.116121
"Luis Sojo"	0.115897
"Tony Clark"	0.115726
"Ricky Gutierrez"	0.115398
"Chris Gomez"	0.115277
"Jay Bell"	0.115199
"Rico Brogna"	0.114984
DeShields	0.114462
"Brad Fullmer"	0.114304
"Bobby Higginson"	0.114052
"Troy Glaus"	0.11375
"Homer Bush"	0.112876
"Charlie Hayes"	0.112727
"Chuck Knoblauch"	0.112072
"J.T Snow"	0.111947
"Bret Boone"	0.111896
"Tony Womack"	0.111767
Renteria	0.111453
"Gregg Jefferies"	0.111014
Fryman	0.110564
"Lance Johnson"	0.11034
Vidro	0.1099
"Aaron Boone"	0.109773
Loretta	0.10977
"John Jaha"	0.109701
"Geoff Jenkins"	0.109352
Abreu	0.109287
"Juan Castro"	0.10921
"Todd Helton"	0.108958
"Craig Biggio"	0.108658
"Alex Cora"	0.108092
"Sean Casey"	0.107574
"Fred McGriff"	0.107406
"Fernando Tatis"	0.107405
"Andy Fox"	0.107088
"Dave Martinez"	0.106611
"Melvin Mora"	0.105905
Cora	0.105682
"Tyler Houston"	0.105255
Glanville	0.105154
"Adrian Beltre"	0.104418
"Paul Bako"	0.104249
"Mark Grudzielanek"	0.103952
"Jose Vizcaino"	0.103461
"Sean Berry"	0.1027
"Roberto Alomar"	0.102486
"Damian Miller"	0.102337
"Vinny Castilla"	0.101907
"Pat Meares"	0.101727
"Bill Spiers"	0.101629
Bordick	0.101616
"Kurt Abbott"	0.101447
"Brian Daubach"	0.1014
"Daryle Ward"	0.100622
"Benji Gil"	0.100481
"Tony Phillips"	0.0997363
"Mark Johnson"	0.0989329
"Dave Hansen"	0.0988352
"Bruce Aven"	0.098755
"Russ Davis"	0.0987354
"Gregg Zaun"	0.0983282
"Richie Sexson"	0.0982157
"Terrence Long"	0.0980675
"Jeff Weaver"	0.0978082
"Juan Encarnacion"	0.0973902
"Matt Williams"	0.0973403
Dellucci	0.0972235
McLemore	0.0969498
"Ben Grieve"	0.0964892
Furcal	0.0964103
Lankford	0.0959931
"Mike Cameron"	0.0959115
Giambi	0.094967
"Dmitri Young"	0.0948726
"Desi Relaford"	0.094146
"Reggie Sanders"	0.0939933
Walbeck	0.0936959
"Manny Alexander"	0.0936859
"Bobby Estalella"	0.0936045
"Luis Polonia"	0.0933396
"Lee Stevens"	0.0931898
Glaus	0.0929283
"Cristian Guzman"	0.0926401
"John Valentin"	0.0925597
Mabry	0.0923594
"Mark Kotsay"	0.0921401
"Eric Karros"	0.0918373
"Darryl Hamilton"	0.091724
"Will Clark"	0.0913658
"Ken Caminiti"	0.09125
Zeile	0.09122
"Edgar Renteria"	0.0912117
"F.P Santangelo"	0.0909061
"Matt Walbeck"	0.0908755
"Bengie Molina"	0.0907467
"Todd Zeile"	0.090638
"Scott Brosius"	0.0901946
"CARLOS HERNANDEZ"	0.089641
"Jeffrey Hammonds"	0.0895842
"GERONIMO BERROA"	0.0892922
"J.D Drew"	0.0892149
Lieberthal	0.0887178
Alfonzo	0.0886106
"Robin Ventura"	0.0880037
"Ed Sprague"	0.0877193
"Gabe Kapler"	0.0876344
"Freddy Garcia"	0.0874062
Stinnett	0.0873008
"Dan Wilson"	0.0872946
"Greg Colbrunn"	0.0871773
"Shawon Dunston"	0.0868364
))
("Carlos Franco" (desc 2440.94) (sims
"Craig Parry"	0.248155
"Frank Nobilo"	0.186969
"Shigeki Maruyama"	0.182313
"Bob Estes"	0.175215
"Billy Mayfair"	0.1724
"Steve Elkington"	0.166471
"Nick Price"	0.155252
"Ramon Delgado"	0.14494
"Bill Glasson"	0.142868
"Paul Azinger"	0.14241
"Stuart Appleby"	0.142163
"Fred Couples"	0.141762
"Larry Mize"	0.129553
"Peter Jacobsen"	0.128885
"Vijay Singh"	0.128193
"Jim Furyk"	0.12683
"Brad Faxon"	0.124484
"Justin Leonard"	0.123774
"Bernhard Langer"	0.120926
"Chris Perry"	0.120799
"Thomas Bjorn"	0.120174
Ozaki	0.120062
"Corey Pavin"	0.118206
"Ernie Els"	0.114512
"Bob Tway"	0.113849
"Davis Love III"	0.113836
"J.P. Hayes"	0.113771
Maruyama	0.108165
"Payne Stewart"	0.106963
"Loren Roberts"	0.105646
"David Duval"	0.101942
"Phil Mickelson"	0.101671
"Hal Sutton"	0.10041
"John Huston"	0.0990122
"Stewart Cink"	0.0984486
"Tom Lehman"	0.0983356
"John Daly"	0.0979631
"Mark O'Meara"	0.0975854
"Meg Mallon"	0.0969939
"Tom Kite"	0.0968643
"Mark Calcavecchia"	0.096358
"Davis Love"	0.0935731
"Greg Norman"	0.0926545
"Craig Stadler"	0.0912987
"Steve Stricker"	0.0911899
"Lee Westwood"	0.0911165
"Matt Kuchar"	0.0896697
"Kirk Triplett"	0.0896169
"Lee Janzen"	0.0885598
"Steve Pate"	0.0883459
"Jeff Sluman"	0.0878805
"Curtis Strange"	0.0866423
"Jesper Parnevik"	0.0855738
"Nick Faldo"	0.0850777
"Miguel Angel Jimenez"	0.0839361
"Andrew Magee"	0.0838526
"Mark Brooks"	0.0820363
"Tiger Woods"	0.0816518
Stadler	0.0815831
"Scott Hoch"	0.0810308
"Tom Watson"	0.0808602
"Isao Aoki"	0.0801251
"Ian Woosnam"	0.0793357
"Jose Maria Olazabal"	0.077997
"Paul Lawrie"	0.0778573
"Casey Martin"	0.0774873
"David Frost"	0.0764434
Olimpia	0.0739746
"Padraig Harrington"	0.0734365
"Fuzzy Zoeller"	0.0723627
"Jose Luis Chilavert"	0.0714324
"Se Ri Pak"	0.0709081
Huston	0.0706716
"Olin Browne"	0.0706504
"Annika Sorenstam"	0.0697763
"Hale Irwin"	0.0693762
"Darren Clarke"	0.0693644
"Karrie Webb"	0.0691001
"Laura Davies"	0.0687608
"Colin Montgomerie"	0.0683861
"Tim Herron"	0.0682924
"Fred Funk"	0.0678154
Elkington	0.0674615
"Dottie Pepper"	0.0666214
"Brian Watts"	0.064026
"Andrew Coltart"	0.0636916
Parnevik	0.0634277
"Rocco Mediate"	0.0628654
"Gil Morgan"	0.062848
"Bruce Fleisher"	0.0627056
"Sergio Garcia"	0.0624741
Bayi	0.060861
"Seve Ballesteros"	0.060847
Maggert	0.0607762
Mickelson	0.0605014
Longo	0.0600647
"Jeff Maggert"	0.0583425
"Moses Tanui"	0.0569263
Montgomerie	0.0564377
O'Meara	0.0560361
"Martin Schmitt"	0.0547934
Karlsson	0.0546737
"Gary Player"	0.05428
Langham	0.0539115
"Jean-Philippe Gatien"	0.0538905
"Sonia O'Sullivan"	0.0536479
"Tamil Eelam"	0.0530187
"Glasgow Rangers"	0.0529101
Lehman	0.0526104
"Juli Inkster"	0.052539
Singh	0.0524755
"Oksana Kazakova"	0.0521416
"David Graham"	0.0517055
"Liselotte Neumann"	0.0513195
"Johan Museeuw"	0.0512286
"Steve Jones"	0.0508521
Furyk	0.0506135
"Mike Weir"	0.0504423
"Chen Lu"	0.0501765
Makinen	0.0500392
"Jean Van de Velde"	0.0493652
"Jack Nicklaus"	0.0492428
"John Cook"	0.048875
Magee	0.0488054
Cink	0.0485254
"Derrick Adkins"	0.0482391
Chamblee	0.0480518
Edberg	0.0480052
Gremio	0.0479023
Hsieh	0.047253
Ottey	0.0471302
"Dana Quigley"	0.0468698
Sainz	0.0468262
Dougherty	0.0467919
Mallon	0.0467838
"HANK KUEHNE"	0.0466817
"Donna Andrews"	0.0464976
"Rodney Eyles"	0.0461262
"Jay Haas"	0.0460718
Mayfair	0.046064
"Foreign Relations"	0.0457022
"Hiroyasu Shimizu"	0.0455072
"Colin McRae"	0.0450561
"Bjarte Engen Vik"	0.0448781
"Nancy Lopez"	0.0448774
"Anjelika Krylova"	0.0447367
"Lasse Kjus"	0.0446827
"Jubilo Iwata"	0.0446761
"Scott Pruett"	0.0443772
"Chen Hua"	0.0439055
"Ukari Figgs"	0.0438903
"Michael Doohan"	0.0438208
"Tommi Makinen"	0.0438016
Zanardi	0.0437461
"Gary Hall Jr."	0.0437004
"Kinder Bologna"	0.0436909
Azinger	0.043496
"Marco Pantani"	0.0432183
Kuchar	0.0430676
"Pavel Tonkov"	0.04295
"Deborah Compagnoni"	0.0429266
"Pat Hurst"	0.0427374
"Hu Weidong"	0.0427337
Inkster	0.0425667
"Billy Andrade"	0.0425419
"Jarmo Sandelin"	0.0424988
"Jeff King"	0.0422883
"Bayi Rockets"	0.0422836
Yagudin	0.0422376
"Vanessa Atler"	0.0419881
"Chris Boardman"	0.0418593
"Partizan Belgrade"	0.0418458
"Tom Steels"	0.0415332
"Lee Trevino"	0.0414309
"Marie-Jose Perec"	0.0413295
"Alex Zanardi"	0.041248
"Olympiakos Piraeus"	0.0412412
"Deon Hemmings"	0.0411212
Stricker	0.041084
"Jan-Ove Waldner"	0.0409181
"Elvis Stojko"	0.0406844
"Fiona May"	0.0406798
"Eddie Irvine"	0.0406714
"Australian Mark Philippoussis"	0.0405566
"Miguel Indurain"	0.0405153
"Blaine Wilson"	0.0404751
Tarver	0.0403466
"Bafana Bafana"	0.040256
"Shanghai Shenhua"	0.0402238
))
("Carlos Guillen" (desc 2479.01) (sims
"Gil Meche"	0.305027
"David Bell"	0.233668
"Russ Johnson"	0.231641
"Damian Jackson"	0.226089
"Craig Paquette"	0.225284
"Freddy Garcia"	0.223453
"Enrique Wilson"	0.208553
"Edgar Martinez"	0.207744
"John Halama"	0.207408
"Herbert Perry"	0.205641
"Jay Buhner"	0.203175
"Jamie Moyer"	0.198621
"Joey Cora"	0.195476
"Paul Abbott"	0.19053
"Lou Merloni"	0.188977
"Carlos Febles"	0.187449
"Luis Alicea"	0.186779
"Jeff Huson"	0.18504
"Mike Cameron"	0.183113
"Warren Morris"	0.181758
"Wilton Veras"	0.180624
"Mark McLemore"	0.179593
"Tony Fernandez"	0.172443
"Pokey Reese"	0.171784
"Alex Rodriguez"	0.17099
"Tony Batista"	0.170201
"Luis Lopez"	0.16748
"Bobby Smith"	0.166792
"Frank Catalanotto"	0.166638
"Pat Burrell"	0.166182
"Dan Wilson"	0.162628
"Luis Castillo"	0.162444
"Clay Bellinger"	0.162045
"Jose Hernandez"	0.161395
"Stan Javier"	0.161304
"Raul Ibanez"	0.158613
"Alex Cora"	0.158047
"Jeff Cirillo"	0.154584
"Juan Castro"	0.154223
"Bill Spiers"	0.150674
"Mark Loretta"	0.150376
"Eric Chavez"	0.150129
"Fernando Vina"	0.149865
"Matt Franco"	0.149746
"Todd Walker"	0.149679
"Russ Davis"	0.149477
"Shane Andrews"	0.148928
"Jose Vizcaino"	0.147596
"Andy Sheets"	0.147373
"Mike Benjamin"	0.146833
"Benji Gil"	0.146452
"Donnie Sadler"	0.145495
"Rafael Furcal"	0.145003
"Manny Alexander"	0.144574
"Mike Lansing"	0.143537
"Charlie Hayes"	0.143209
"Carlos Beltran"	0.142848
"Wilton Guerrero"	0.142833
"Craig Counsell"	0.14242
"Ron Coomer"	0.141887
"Mac Suzuki"	0.141708
"David Segui"	0.141447
"John Mabry"	0.141389
"Aaron Boone"	0.141308
"Kevin Jordan"	0.140651
"Sean Berry"	0.139627
"Luis Sojo"	0.138343
"Omar Vizquel"	0.137771
"Cristian Guzman"	0.137626
"Tim Bogar"	0.136269
"Willie Greene"	0.136236
"Mike Lowell"	0.135664
"Dave Hollins"	0.135306
"Joe Randa"	0.135204
"Adam Kennedy"	0.135178
"Kurt Abbott"	0.134351
"Dean Palmer"	0.133531
"Erubiel Durazo"	0.133173
"Bill Mueller"	0.133055
"Mickey Morandini"	0.131961
"Damion Easley"	0.131929
"Scott Rolen"	0.129491
"Miguel Cairo"	0.129181
"Kevin Orie"	0.128084
"Pat Meares"	0.127619
"Alfonso Soriano"	0.127579
"Jeff Frye"	0.127184
"Edgar Renteria"	0.127001
"Ray Durham"	0.126044
"Terrence Long"	0.125167
"Ricky Gutierrez"	0.124278
"Fernando Tatis"	0.122934
"Randy Velarde"	0.122804
"Mike Caruso"	0.122187
"Brett Tomko"	0.121917
"Carlos Baerga"	0.121109
"Quinton McCracken"	0.120702
"Mike Lamb"	0.120507
"Roberto Alomar"	0.120492
"Travis Fryman"	0.119657
"Phil Nevin"	0.119066
"Shawon Dunston"	0.118418
"Chris Gomez"	0.118099
"Kevin Elster"	0.117947
"Jose Vidro"	0.117051
"Melvin Mora"	0.116615
"Edgardo Alfonzo"	0.116209
"Corey Koskie"	0.115913
"Scott Spiezio"	0.115742
"Todd Zeile"	0.115541
Veras	0.115318
"John Olerud"	0.113788
"Royce Clayton"	0.112737
"Jose Valentin"	0.112586
"Butch Huskey"	0.112513
"Dave Hansen"	0.111997
"Tony Womack"	0.111994
"Robin Ventura"	0.111182
"Derrek Lee"	0.110759
"Paul Konerko"	0.109541
"Aaron Sele"	0.109155
"Troy Glaus"	0.107789
"Delino DeShields"	0.107632
"Ed Sprague"	0.10656
"Ozzie Guillen"	0.105828
"Desi Relaford"	0.104167
"Andy Fox"	0.104114
"Brian Daubach"	0.104047
"Keith Lockhart"	0.10374
Randa	0.103679
"Jose Paniagua"	0.103126
"Eric Young"	0.103022
"Deivi Cruz"	0.103008
"Tony Phillips"	0.10259
"Joe McEwing"	0.102404
"Ken Griffey Jr."	0.10231
"Daryle Ward"	0.102301
"Lee Stevens"	0.102193
"Quilvio Veras"	0.101405
"Neifi Perez"	0.100127
"John Valentin"	0.100098
Renteria	0.0999997
"Jeff Kent"	0.0995263
"Kevin Stocker"	0.0994044
"Rich Aurilia"	0.0979512
"Homer Bush"	0.0976227
"Kevin Young"	0.0972954
"Adrian Beltre"	0.0972707
"Mark Grudzielanek"	0.0961816
"Alex Gonzalez"	0.0957966
"Cal Ripken Jr."	0.0957588
"Jay Bell"	0.0955441
"Lenny Harris"	0.0953793
"Glenn Hoffman"	0.0948784
"Jason Giambi"	0.0943516
"Jose Offerman"	0.0942683
"Miguel Tejada"	0.0928274
"Brian McRae"	0.0927015
"John Jaha"	0.0921917
"Rafael Palmeiro"	0.0912829
"Walt Weiss"	0.0911267
"Gary Gaetti"	0.0904161
"Vinny Castilla"	0.0902092
"Brian Hunter"	0.0899663
"Tom Goodwin"	0.08933
"CARLOS HERNANDEZ"	0.0887352
"Jeff Fassero"	0.0887073
"Brad Penny"	0.0879863
Cora	0.0879158
Spiers	0.0873932
Giambi	0.0871797
"Will Clark"	0.0871237
"Doug Glanville"	0.0862211
"Travis Lee"	0.0861074
"Einar Diaz"	0.0859399
"Frankie Rodriguez"	0.0858906
"Tony Graffanino"	0.0851073
"Wil Cordero"	0.0848385
DeShields	0.0847508
"Eric Owens"	0.0847384
"Sean Casey"	0.0846985
"Matt Williams"	0.0837439
"Richie Sexson"	0.0835534
"Marvin Benard"	0.0832569
"Bret Boone"	0.0831866
"Chuck Knoblauch"	0.0829117
"Mike Bordick"	0.0826355
Vidro	0.0824864
Vizquel	0.0824176
"Rey Sanchez"	0.0822867
"Ivan Rodriguez"	0.0821454
Griffey	0.082047
"Bruce Aven"	0.0816242
"Randall Simon"	0.0815574
"Carlos Lee"	0.0815468
"Cal Ripken"	0.0814788
"Brett Hinchliffe"	0.0810947
"Benny Agbayani"	0.0810781
"Rey Ordonez"	0.0809576
"Tony Clark"	0.0803209
))
("Carlos Hermosillo" (desc 1973.68) (sims
"Paul Caligiuri"	0.305945
"Luis Hernandez"	0.305189
Welton	0.294672
"Mauricio Cienfuegos"	0.28415
"Cobi Jones"	0.271494
"Clint Mathis"	0.253761
"Robin Fraser"	0.246298
"Greg Vanney"	0.180626
"Tore Andre Flo"	0.179214
"Hao Haidong"	0.172375
"Ante Razov"	0.1599
"Raul Diaz Arce"	0.154817
"Roy Lassiter"	0.154811
"Faustino Asprilla"	0.14963
"Stern John"	0.144682
"Kevin Hartman"	0.144482
"Ian Wright"	0.142349
"Eric Wynalda"	0.142121
"Alen Boksic"	0.141576
"Harry Kewell"	0.138525
"Paolo Di Canio"	0.137471
"Brian McBride"	0.135141
"Nwankwo Kanu"	0.134562
"Predrag Mijatovic"	0.132773
"Adrian Ilie"	0.13222
"Khodadad Azizi"	0.130451
"Fabrizio Ravanelli"	0.129847
"Dejan Savicevic"	0.125446
"Ali Daei"	0.123999
"Patrick Kluivert"	0.12171
"Sun Wen"	0.121605
"Cindy Parlow"	0.119737
"Lee Nailon"	0.119546
"Raul Gonzalez"	0.119538
"Christophe Dugarry"	0.118005
"Joe-Max Moore"	0.117773
"Stan Collymore"	0.116275
"Dwight Yorke"	0.116142
"Juergen Klinsmann"	0.115945
"Ulf Kirsten"	0.114119
"Jorge Campos"	0.113546
"Gheorghe Hagi"	0.11098
"Eric Cantona"	0.110555
Preki	0.109978
"Tiffeny Milbrett"	0.109849
Edmundo	0.108395
"Claudio Lopez"	0.107859
"David Trezeguet"	0.107387
"Gianfranco Zola"	0.107293
Suker	0.107166
"Marcelo Salas"	0.10386
"Oliver Bierhoff"	0.103365
"Brian Laudrup"	0.102937
Batistuta	0.102169
"Dennis Bergkamp"	0.10127
"Rebecca Lobo"	0.101156
"Hernan Crespo"	0.101032
"Dejan Stankovic"	0.100495
"Hristo Stoichkov"	0.0997446
"Alexei Kovalev"	0.0995973
"Teddy Sheringham"	0.0992007
"Nicolas Anelka"	0.098682
"Hu Weidong"	0.0986289
"Todd Harvey"	0.0965664
Vieri	0.0959996
"Donyell Marshall"	0.0958191
"Corliss Williamson"	0.0950568
"Davor Suker"	0.0947279
Romario	0.0942254
"Enrico Chiesa"	0.0935971
"Gabe Muoneke"	0.0933588
"Gabriel Batistuta"	0.0931734
"DeLisha Milton"	0.0929219
"Robbie Fowler"	0.0928127
Juninho	0.0909554
"Sheryl Swoopes"	0.0907755
Anelka	0.0907339
"Hidetoshi Nakata"	0.0903992
"Roberto Baggio"	0.0894966
"Andy Cole"	0.0892135
"Gianluca Vialli"	0.087979
Bebeto	0.0879714
"Thierry Henry"	0.0877831
"Ivan Zamorano"	0.0875603
"Eddie Lewis"	0.0873453
"Bryon Russell"	0.0871597
"Youri Djorkaeff"	0.0863355
Piero	0.0859772
"Miroslav Satan"	0.0856885
"Michael Owen"	0.0853888
"Kirk Muller"	0.0853203
"Greg Adams"	0.0852699
"Alessandro Del Piero"	0.085234
"Geoff Sanderson"	0.085202
"Marco Etcheverry"	0.0851361
"Darren McCarty"	0.0849112
"Del Piero"	0.0848798
"George Weah"	0.0843055
"ZIGMUND PALFFY"	0.0838371
"Christian Vieri"	0.0834597
"John LeClair"	0.083377
"Jarvis Turner"	0.0832681
hermosillo	0.0827831
"Ariel Ortega"	0.0827311
"Jason Kapono"	0.0827174
Asprilla	0.0824759
"Ziggy Palffy"	0.0821641
Rivaldo	0.0818007
"Paul Scholes"	0.0805921
"Kenny Thomas"	0.0804231
"Bobby Phills"	0.0799926
"Matt Bullard"	0.0796731
"Tamika Catchings"	0.0796155
"Adam Deadmarsh"	0.0786761
"Chris Gatling"	0.0780206
"Ole Gunnar Solskjaer"	0.0778025
"Alan Shearer"	0.0775941
"Chris Mullin"	0.0769313
"Juwan Howard"	0.0764993
"Mike Keane"	0.0762426
Salas	0.076151
"Mike Miller"	0.0760049
"Dmitri Khristich"	0.0755373
"Wang Tao"	0.075418
"Blake Sloan"	0.0753576
"Shannon MacMillan"	0.0752596
"Rick Tocchet"	0.0752093
"Dominique Wilkins"	0.0750438
"Derrick Coleman"	0.0750415
"Robert Prosinecki"	0.074704
"Glenn Robinson"	0.0746248
"Chris Porter"	0.0745624
"Theo Fleury"	0.0744868
"Mario Stanic"	0.0743859
"Shane Doan"	0.0740992
Stumpel	0.0740739
"Michael Finley"	0.0736917
Al-Jaber	0.0735235
"Raef LaFrentz"	0.0735232
Alfonso	0.07334
Djorkaeff	0.0732952
"Alan Henderson"	0.0729141
"Ben Olsen"	0.0727805
"Alexei Yashin"	0.0726712
"Jumaine Jones"	0.0725497
"Othella Harrington"	0.0722325
"Frankie Hejduk"	0.0721245
"Matt Harpring"	0.0720348
Wynalda	0.0717595
"Filippo Inzaghi"	0.0715207
"Richard Jefferson"	0.071444
"Chris Anstey"	0.0714014
"Peter Forsberg"	0.0711979
"Grant Long"	0.0710695
"Teemu Selanne"	0.0708979
"Rick Fox"	0.0708611
"Wendel Clark"	0.0707947
"Pierluigi Casiraghi"	0.0706597
"Keith Van Horn"	0.0705075
"Dale Davis"	0.070224
"Koji Ito"	0.0701192
"Rasheed Wallace"	0.0697223
"Grant Marshall"	0.0696408
"Rodney Rogers"	0.0694549
Sissi	0.0693122
"Samantha Riley"	0.0691857
"Kurt Thomas"	0.06888
"Kevin Freeman"	0.0687449
"Luis Figo"	0.0684154
"Marcel Desailly"	0.068378
"Jamie Langenbrunner"	0.0680327
Khorkina	0.06773
"Chris Drury"	0.0676985
"Olli Jokinen"	0.0676844
Hendrickson	0.0674635
Kluivert	0.0671396
"Anthony Mason"	0.0670989
"Lamond Murray"	0.06703
"Joe Sakic"	0.0669359
"Cliff Ronning"	0.0668422
"Pavol Demitra"	0.0666491
"Patrik Elias"	0.066637
"Chris Carrawell"	0.0665184
"Vincent Damphousse"	0.066409
"Christine Arron"	0.0663434
Stackhouse	0.0662156
"Brian Rolston"	0.0661087
"Mauricio Ramos"	0.0660361
"Morris Peterson"	0.0660026
Hwang	0.0659912
"Steve Thomas"	0.0659303
"Rashard Lewis"	0.0657853
"LaPhonso Ellis"	0.0655182
Musashimaru	0.0654147
"Walt Williams"	0.0651665
"Eddie Pope"	0.0649794
"Diego Maradona"	0.0649038
"Cliff Robinson"	0.0647968
"Sergei Zubov"	0.064593
"Phillip Cocu"	0.0645649
))
("CARLOS HERNANDEZ" (desc 2785.63) (sims
"Ken Caminiti"	0.210976
"Tony Eusebio"	0.205709
"Steve Finley"	0.198767
"Brook Fordyce"	0.197446
"Ruben Rivera"	0.194958
"Chris Widger"	0.191566
"Wally Joyner"	0.190788
"John Vander Wal"	0.188081
"Damian Jackson"	0.186495
"Chris Gomez"	0.183146
"Phil Nevin"	0.178029
"Bill Spiers"	0.175704
"Matt Walbeck"	0.175441
"Mike Bordick"	0.174337
"Jason Varitek"	0.173568
"Marvin Benard"	0.172514
"Russ Johnson"	0.169548
"Damian Miller"	0.168683
"Delino DeShields"	0.167838
"Jim Leyritz"	0.167558
"Reggie Sanders"	0.165609
"Greg Vaughn"	0.164474
"Matt Luke"	0.163398
"Eric Owens"	0.162977
"Quilvio Veras"	0.162808
"Edgar Renteria"	0.16251
"Eddie Taubensee"	0.162451
"Ozzie Guillen"	0.161653
"Andy Sheets"	0.161486
"Mike Sweeney"	0.160404
"Todd Walker"	0.159245
"Luis Lopez"	0.158986
"Greg Myers"	0.158224
"Jason Kendall"	0.156745
"Scott Hatteberg"	0.154832
"Adam Kennedy"	0.154437
"Derrek Lee"	0.153714
"Mark McLemore"	0.152148
"Tom Lampkin"	0.15164
"Gregg Zaun"	0.151404
"Travis Lee"	0.151341
"Al Martin"	0.150704
"Erubiel Durazo"	0.150495
"Bengie Molina"	0.149739
"Wilton Guerrero"	0.148836
"Trenidad Hubbard"	0.14841
"Edgar Martinez"	0.147625
"Kelly Stinnett"	0.147516
"Tony Womack"	0.147083
"Geoff Jenkins"	0.147048
"Mike Cameron"	0.146666
"Ricky Gutierrez"	0.146133
"Dan Wilson"	0.145729
"Pat Meares"	0.145257
"Terrence Long"	0.145058
"Luis Alicea"	0.144674
"Alex Cora"	0.144217
"Marquis Grissom"	0.143747
"Mitch Meluskey"	0.143378
"Matt Franco"	0.143266
"Darrin Fletcher"	0.143186
"Brad Ausmus"	0.142654
"Tony Gwynn"	0.142137
"Jose Hernandez"	0.142076
"Tyler Houston"	0.142058
"Todd Pratt"	0.141975
"Charlie Hayes"	0.141733
"Walt Weiss"	0.141711
"Tony Phillips"	0.141507
"Gerald Williams"	0.141319
"Eddie Perez"	0.140517
"Bobby Abreu"	0.140462
"Manny Alexander"	0.140115
"Corey Koskie"	0.139692
"Paul LoDuca"	0.139128
"Joe McEwing"	0.138635
"Brad Fullmer"	0.138539
"Ray Durham"	0.138391
"Craig Paquette"	0.137221
"Bobby Estalella"	0.13685
"Tom Goodwin"	0.136683
"Randy Velarde"	0.136072
"Devon White"	0.135814
"Shawon Dunston"	0.13519
"Doug Glanville"	0.135011
"Kurt Abbott"	0.134609
"David Dellucci"	0.134414
"Jeff Bagwell"	0.134195
"Mark Loretta"	0.134131
"Tim Bogar"	0.13404
"Karim Garcia"	0.133954
"Tony Batista"	0.133916
"Dave Hansen"	0.133769
"Jose Offerman"	0.133596
"Jeff Frye"	0.132491
"Otis Nixon"	0.131841
"Quinton McCracken"	0.131707
"Angel Pena"	0.131307
"John Valentin"	0.131023
"Jeff Conine"	0.13099
"John Jaha"	0.130758
"Charles Johnson"	0.130418
"Roger Cedeno"	0.130394
"Mark Grace"	0.130322
"Darren Lewis"	0.129878
"Shannon Stewart"	0.12929
"Richard Hidalgo"	0.129223
"Ryan Klesko"	0.12901
"Royce Clayton"	0.128956
Abreu	0.128744
"Andy Fox"	0.128721
"Rich Becker"	0.128412
"Preston Wilson"	0.128269
"F.P Santangelo"	0.128119
"Bill Haselman"	0.128092
"David Bell"	0.127859
"Mike Lieberthal"	0.127836
"Jose Vizcaino"	0.127766
"Melvin Mora"	0.127665
"Rafael Furcal"	0.127477
"Edgardo Alfonzo"	0.127365
"Mark Grudzielanek"	0.127147
"Dave Martinez"	0.126924
"Javy Lopez"	0.126662
"Damon Buford"	0.126457
"Luis Gonzalez"	0.126311
"Dante Bichette"	0.126071
"Jorge Fabregas"	0.125631
"Ellis Burks"	0.125446
"Einar Diaz"	0.125216
"Wil Cordero"	0.125172
"Dmitri Young"	0.125003
"Brian Hunter"	0.12489
"Will Clark"	0.124583
"Todd Hundley"	0.123891
"Carlos Baerga"	0.123779
"Daryle Ward"	0.123652
"Paul Bako"	0.123513
"Damion Easley"	0.123435
"Jose Guillen"	0.123245
"Ivan Rodriguez"	0.12272
"Eric Karros"	0.122708
"Mike Lamb"	0.122416
Tatis	0.122112
"Jeff Huson"	0.121989
"Neifi Perez"	0.121927
"Matt Stairs"	0.121904
"Carlos Beltran"	0.121814
"Scott Spiezio"	0.121756
"Willie Greene"	0.121697
"Gregg Jefferies"	0.120878
"B.J Surhoff"	0.120704
"Desi Relaford"	0.120565
"Pat Burrell"	0.12045
"Frank Catalanotto"	0.120394
"Jose Valentin"	0.120337
"Todd Greene"	0.119969
"Luis Castillo"	0.119448
"Todd Hollandsworth"	0.119398
"Rusty Greer"	0.11922
"Carlos Lee"	0.11896
"Woody Williams"	0.118951
"Russ Davis"	0.1183
"J.T Snow"	0.118269
"Mickey Morandini"	0.118222
"Stan Javier"	0.118073
"Jorge Posada"	0.118048
"Bruce Aven"	0.117993
"Fernando Vina"	0.117183
"Greg Colbrunn"	0.117145
"Joe Randa"	0.117048
"Benny Agbayani"	0.116878
"Joey Hamilton"	0.116727
"Carlos Delgado"	0.116446
"Trot Nixon"	0.116304
"Kevin Elster"	0.116097
"Keith Lockhart"	0.115948
"Ray Lankford"	0.115337
"Brent Mayne"	0.114882
Vidro	0.114585
"Sandy Alomar"	0.11458
"Craig Counsell"	0.114241
"Lenny Harris"	0.1142
"Orlando Palmeiro"	0.114169
"Warren Morris"	0.114113
"Jeromy Burnitz"	0.114075
"Jay Bell"	0.113953
"Rickey Henderson"	0.113896
"Brian Daubach"	0.113848
"Gary Sheffield"	0.113604
"Mark Kotsay"	0.113465
"Adrian Beltre"	0.113373
"Ron Coomer"	0.11297
Alfonzo	0.112913
"J.D Drew"	0.112493
"Paul Konerko"	0.11226
"Craig Biggio"	0.112105
"Johnny Damon"	0.111864
"Bobby Higginson"	0.111786
"Wilton Veras"	0.111676
"Shane Andrews"	0.111246
"Scott Rolen"	0.111123
"Lance Johnson"	0.110902
"Troy Glaus"	0.110865
"Rob Ducey"	0.110636
"Cliff Floyd"	0.110625
"Richie Sexson"	0.110451
"Jeff Kent"	0.110376
"David Segui"	0.109959
"Michael Tucker"	0.109763
"Jeffrey Hammonds"	0.109731
"Joey Cora"	0.109685
Renteria	0.10933
"Eric Chavez"	0.109261
"Deivi Cruz"	0.109169
"Dean Palmer"	0.109095
"Raul Ibanez"	0.108268
"Ron Gant"	0.108252
"Rondell White"	0.108147
"Mike Lansing"	0.108056
Higginson	0.107985
"Magglio Ordonez"	0.107559
"Troy O'Leary"	0.10736
Rolen	0.10735
"Mark Johnson"	0.107249
"Derek Bell"	0.107131
"Jeff Cirillo"	0.106972
Nevin	0.106952
Mabry	0.106947
"Brian Jordan"	0.106311
Glaus	0.10615
"Herbert Perry"	0.106092
Sexson	0.106007
"Jose Cruz Jr."	0.105975
"Kevin Stocker"	0.105796
"Fred McGriff"	0.105526
"Brian Johnson"	0.105491
"David Ortiz"	0.105374
"Aaron Boone"	0.105347
"Enrique Wilson"	0.105345
"Barry Bonds"	0.104986
"Brady Anderson"	0.104874
"John Mabry"	0.104762
"Paul O'Neill"	0.104684
"Robin Ventura"	0.104645
"Henry Rodriguez"	0.104607
"Bobby Smith"	0.10441
"Darin Erstad"	0.104356
"Ricky Ledee"	0.104299
"Sean Berry"	0.103987
"Todd Zeile"	0.103766
"Jay Buhner"	0.103755
"Sean Casey"	0.103737
"Francisco Cordova"	0.103722
"Darryl Hamilton"	0.103381
"Rico Brogna"	0.103138
"Jim Thome"	0.103131
"Harold Baines"	0.10309
"Pudge Rodriguez"	0.102933
"Tony Graffanino"	0.102878
"Chad Kreuter"	0.102671
"Kevin Young"	0.102628
"Jeremy Giambi"	0.102612
"Fernando Tatis"	0.102417
"Jon Nunnally"	0.102403
"Moises Alou"	0.102279
"Scott Brosius"	0.102214
Agbayani	0.102054
"Chuck Knoblauch"	0.101602
"Bernard Gilkey"	0.101319
"Mike Benjamin"	0.101242
"Joe Girardi"	0.100948
"Bill Mueller"	0.100814
"Vladimir Guerrero"	0.100598
"Jay Payton"	0.100491
"Kenny Lofton"	0.100484
"Glenallen Hill"	0.100197
Erstad	0.100003
))
("Carlos Lee" (desc 1912.56) (sims
"Jose Valentin"	0.348766
"Matt Lawton"	0.341541
"Eric Owens"	0.317358
"Paul Konerko"	0.315213
"Bruce Aven"	0.30975
"Geoff Jenkins"	0.308031
"Ray Durham"	0.29902
"Magglio Ordonez"	0.297937
Vidro	0.289913
"Rondell White"	0.287187
"Dmitri Young"	0.284994
"Mike Caruso"	0.280667
"Preston Wilson"	0.280472
"John Vander Wal"	0.277241
"Cliff Floyd"	0.271404
Fullmer	0.267164
"Bobby Higginson"	0.26475
"Carlos Beltran"	0.263122
"Mark Kotsay"	0.262918
"Henry Rodriguez"	0.261441
"Mark Loretta"	0.257291
"Derrek Lee"	0.257283
"Jose Vidro"	0.256973
Rolen	0.256258
"Ben Grieve"	0.255363
"Damian Miller"	0.251155
"Herbert Perry"	0.249855
"Jose Guillen"	0.24837
"Stan Javier"	0.24836
"Benny Agbayani"	0.247157
"Wil Cordero"	0.246851
"Johnny Damon"	0.245026
"Richard Hidalgo"	0.244872
"Juan Encarnacion"	0.243868
Cirillo	0.243375
"Bobby Abreu"	0.242595
"Jeff Conine"	0.240282
Burnitz	0.2402
"Scott Spiezio"	0.2375
"Marvin Benard"	0.236683
"Lance Berkman"	0.232907
"Matt Franco"	0.232294
"Chris Widger"	0.232083
"Quinton McCracken"	0.232071
"Luis Gonzalez"	0.232026
"Joe Randa"	0.231853
"Tony Eusebio"	0.231489
"Danny Bautista"	0.230732
"Bengie Molina"	0.229831
"Jeffrey Hammonds"	0.225788
"Deivi Cruz"	0.221783
"Terrence Long"	0.220765
"Jay Payton"	0.219652
"Phil Nevin"	0.219611
"Orlando Palmeiro"	0.219371
"Dante Bichette"	0.219291
"Russ Johnson"	0.219227
"Matt Stairs"	0.218737
"Frank Thomas"	0.21794
"Damian Jackson"	0.217436
"Ron Coomer"	0.216461
Lankford	0.21628
"J.T Snow"	0.215872
"Glenallen Hill"	0.215871
"Bill Spiers"	0.215781
"Bill Mueller"	0.21543
"Matt Luke"	0.214854
"David Dellucci"	0.213831
"Luis Polonia"	0.213709
"Bubba Trammell"	0.212592
"Alex Gonzalez"	0.212456
Higginson	0.212231
"Richie Sexson"	0.211462
"Brian Giles"	0.209529
"Ron Gant"	0.209439
"Tim Bogar"	0.20901
"Ruben Rivera"	0.208126
"David Ortiz"	0.206829
"Rich Becker"	0.206584
"Butch Huskey"	0.206117
"Kevin Young"	0.205559
Aurilia	0.204455
"Neifi Perez"	0.204301
"Dean Palmer"	0.204139
"Marquis Grissom"	0.203534
"John Mabry"	0.203454
"Dave Martinez"	0.203447
"B.J Surhoff"	0.202948
McGriff	0.202513
"Ray Lankford"	0.202464
Bordick	0.202231
"Todd Pratt"	0.202096
"Luis Alicea"	0.200715
"Paul Bako"	0.200544
"Brant Brown"	0.19952
Spiers	0.199136
"Reggie Sanders"	0.198998
"Adam Kennedy"	0.198902
"Rich Aurilia"	0.198617
"Eddie Taubensee"	0.198266
"Joe McEwing"	0.198158
"Vladimir Guerrero"	0.197948
"Tony Batista"	0.197079
"Marty Cordova"	0.196746
Randa	0.196667
"Jermaine Dye"	0.196471
"Cristian Guzman"	0.195168
"Brian Hunter"	0.195014
"Raul Ibanez"	0.194615
Saenz	0.194272
"Doug Glanville"	0.193631
"Mike Lieberthal"	0.193101
"Jon Nunnally"	0.193032
Sexson	0.192695
"Miguel Tejada"	0.192524
Tejada	0.192094
"Corey Koskie"	0.19146
"Eric Chavez"	0.190824
"Mickey Morandini"	0.190684
"Kelly Stinnett"	0.190646
"Pat Burrell"	0.190022
"Sean Casey"	0.189747
"David Bell"	0.189463
"Warren Morris"	0.189082
"Fred McGriff"	0.188933
"Pat Meares"	0.18809
"Scott Rolen"	0.187329
"Damon Buford"	0.187259
"Trot Nixon"	0.186666
Batista	0.186464
"Brady Anderson"	0.186127
"Matt Mieske"	0.185498
"Travis Fryman"	0.184988
"Jason Giambi"	0.184974
"Rico Brogna"	0.18479
"Daryle Ward"	0.184656
"Rob Ducey"	0.183321
"Gary Sheffield"	0.182233
Nevin	0.181141
"Jeromy Burnitz"	0.180569
Abreu	0.180351
"Chad Curtis"	0.180245
"Gerald Williams"	0.179491
"Derek Bell"	0.179014
"Einar Diaz"	0.179012
"Mike Sweeney"	0.17875
"Shawn Green"	0.178723
"Lenny Harris"	0.178507
"Garret Anderson"	0.178053
Ordonez	0.177963
"Shannon Stewart"	0.177944
"Darin Erstad"	0.177912
Beltran	0.177534
"Kevin Jordan"	0.177478
"Darren Bragg"	0.177248
"Troy Glaus"	0.177219
Lieberthal	0.176899
Bautista	0.175304
"Wally Joyner"	0.17487
Renteria	0.1742
"Dave Hansen"	0.174164
"Rusty Greer"	0.173982
"Todd Walker"	0.173792
"Gregg Jefferies"	0.17374
"Travis Lee"	0.173363
Glanville	0.172501
"Brook Fordyce"	0.171953
"Jeff Kent"	0.171919
"Ricky Ledee"	0.171134
Veras	0.170903
DeShields	0.170893
"Kevin Stocker"	0.170725
"Michael Tucker"	0.170333
"Brian Daubach"	0.1702
"F.P Santangelo"	0.170108
"Jose Cruz Jr."	0.169952
"Tony Clark"	0.169932
"Karim Garcia"	0.169281
"Al Martin"	0.169199
"Tim Salmon"	0.169068
"Ricky Gutierrez"	0.169051
"Albert Belle"	0.168901
"Melvin Mora"	0.168565
Tatis	0.16825
Glaus	0.167546
Bichette	0.166649
"Gabe Kapler"	0.166462
"Todd Hollandsworth"	0.166117
"Miguel Cairo"	0.165354
"Steve Finley"	0.1649
"Jeremy Giambi"	0.164889
"Jay Buhner"	0.164424
"Jose Hernandez"	0.164249
"Charlie Hayes"	0.164157
Giambi	0.164123
"Harold Baines"	0.164107
"Trenidad Hubbard"	0.163556
"Bernard Gilkey"	0.163179
"Mike Lowell"	0.162214
"John Valentin"	0.162118
"Todd Helton"	0.161976
"J.D Drew"	0.161472
grieve	0.161456
"Devon White"	0.161375
"Jeff Cirillo"	0.161328
"Moises Alou"	0.160352
"Erubiel Durazo"	0.160294
"Edgardo Alfonzo"	0.160292
"Craig Counsell"	0.160282
"Ellis Burks"	0.160259
"Darryl Hamilton"	0.160188
"Mike Cameron"	0.160015
"Tony Graffanino"	0.159297
"Rickey Henderson"	0.159237
"Darren Lewis"	0.159121
"Keith Lockhart"	0.159097
"Jason Varitek"	0.159044
"Mark Grace"	0.158902
"Mike Lamb"	0.158257
"Tom Goodwin"	0.157587
"Manny Alexander"	0.157446
"Ozzie Guillen"	0.157403
"Brent Mayne"	0.157089
"Kenny Lofton"	0.156991
"Troy O'Leary"	0.15607
"Roger Cedeno"	0.155392
"Adrian Beltre"	0.155275
Olerud	0.154817
"Mark Johnson"	0.154743
"Eric Karros"	0.154586
Fryman	0.154206
"Aaron Boone"	0.153887
"Lee Stevens"	0.153474
Elster	0.153462
"Andruw Jones"	0.153293
"Randy Velarde"	0.152731
"Brad Fullmer"	0.152066
"Brad Ausmus"	0.151807
"Andy Fox"	0.151737
"Jay Bell"	0.151388
"Luis Castillo"	0.151189
"Mike Bordick"	0.151091
"Jeff Bagwell"	0.150946
"Mark Grudzielanek"	0.150885
"Robin Ventura"	0.150863
Hollins	0.150792
"Edgar Martinez"	0.150726
"Greg Vaughn"	0.150299
"Brian McRae"	0.150071
"Enrique Wilson"	0.149548
"Midre Cummings"	0.149227
"Scott Hatteberg"	0.149221
"Russ Davis"	0.148119
"Sandy Alomar"	0.147662
"Ryan Klesko"	0.14743
"Pokey Reese"	0.147
"Mike Lansing"	0.14693
"Chili Davis"	0.146856
Klesko	0.14638
Dunston	0.146184
Frye	0.145935
"Desi Relaford"	0.145815
"Matt Walbeck"	0.144485
"Luis Lopez"	0.144481
"Tony Womack"	0.143606
Bergeron	0.143049
"Damion Easley"	0.142798
"Bret Boone"	0.142778
Delgado	0.142769
"Jason Kendall"	0.142745
"Barry Bonds"	0.142427
"Shane Spencer"	0.142197
Erstad	0.142167
Javier	0.142116
Kapler	0.14134
"Matt Williams"	0.141132
"Mike Stanley"	0.140846
Alicea	0.140659
"Scott Brosius"	0.140646
"Peter Bergeron"	0.140029
"Fernando Vina"	0.139875
Castilla	0.138742
Alfonzo	0.138457
Karros	0.138449
"Rafael Furcal"	0.137893
Catalanotto	0.137553
"Todd Greene"	0.137546
Agbayani	0.137262
"Raul Mondesi"	0.137037
Alomar	0.13703
Lawton	0.136444
Biggio	0.136415
"Will Clark"	0.136323
"Ed Sprague"	0.136189
"Jim Edmonds"	0.135839
"Tino Martinez"	0.135699
"Royce Clayton"	0.135479
"Edgar Renteria"	0.1353
"Vinny Castilla"	0.135104
"Tom Lampkin"	0.134297
Burks	0.133374
"Tony Phillips"	0.133334
"John Olerud"	0.13332
"Kurt Abbott"	0.1332
"Carl Everett"	0.132932
"Craig Biggio"	0.132784
Konerko	0.132767
"Brian Johnson"	0.132728
"Roberto Alomar"	0.132673
"Kevin Elster"	0.132515
"Brian Jordan"	0.13245
"David Segui"	0.132418
"Jim Thome"	0.132406
"Quilvio Veras"	0.132146
"Carlos Delgado"	0.132029
"Jim Leyritz"	0.131896
"Chris Gomez"	0.131401
"Chad Kreuter"	0.130945
"Craig Paquette"	0.130205
"Mitch Meluskey"	0.130033
"Jose Offerman"	0.129903
"Otis Nixon"	0.129822
"Javy Lopez"	0.129822
"John Jaha"	0.129731
Varitek	0.129697
"Eric Davis"	0.129417
"Mike Benjamin"	0.129095
Valentin	0.128907
"Ken Caminiti"	0.128397
Bagwell	0.128236
"Chipper Jones"	0.1279
Velarde	0.127792
"Omar Vizquel"	0.125538
"Angel Pena"	0.124975
"Barry Larkin"	0.124936
"Todd Hundley"	0.124279
Hidalgo	0.124259
"Walt Weiss"	0.123548
"Mark McLemore"	0.123538
"Rey Sanchez"	0.123371
Surhoff	0.123186
Beltre	0.122911
"Roberto Kelly"	0.12284
"Tim Raines"	0.122584
Womack	0.121704
Zeile	0.121579
"GERONIMO BERROA"	0.121569
Stinnett	0.121508
"Ivan Rodriguez"	0.121355
Sojo	0.120674
Gant	0.120197
"Fernando Tatis"	0.119725
Hatteberg	0.119634
"Manny Ramirez"	0.119132
Cordero	0.118983
"CARLOS HERNANDEZ"	0.11896
Eusebio	0.118675
"Chuck Knoblauch"	0.118282
"Charles Johnson"	0.118151
"Lance Johnson"	0.117286
"Joe Carter"	0.117247
Palmeiro	0.116829
"Jorge Posada"	0.116781
"Gregg Zaun"	0.116643
"Delino DeShields"	0.11659
"Willie Greene"	0.116498
Lofton	0.115409
Taubensee	0.114517
Daubach	0.114304
"Kirk Gibson"	0.114025
"Jason McDonald"	0.113867
"Paul O'Neill"	0.113864
Vizquel	0.113322
Mabry	0.113255
"Shane Andrews"	0.112421
Merloni	0.111725
Easley	0.111614
Offerman	0.111587
Segui	0.111395
"Jose Vizcaino"	0.111145
"Greg Colbrunn"	0.110986
"Bobby Estalella"	0.110882
"Jose Canseco"	0.110417
Knoblauch	0.110131
Canseco	0.109425
"Bobby Bonilla"	0.109246
"Clay Bellinger"	0.109172
"Alex Rodriguez"	0.108796
Helton	0.108774
"Tony Gwynn"	0.108531
"Alex Cora"	0.108527
"Bernie Williams"	0.108381
"Luis Sojo"	0.108298
Thome	0.108
"Sean Berry"	0.107842
Molina	0.107313
"Derek Jeter"	0.107288
"Carlos Baerga"	0.106703
"Joe Girardi"	0.10657
"Eric Young"	0.106416
"Nomar Garciaparra"	0.105947
"Shawon Dunston"	0.105862
Brosius	0.105778
Boone	0.105659
"Rafael Palmeiro"	0.105491
Grudzielanek	0.105008
"Mike Simms"	0.104767
Trammell	0.104699
"Cecil Fielder"	0.104607
"Dan Wilson"	0.104505
"Tyler Houston"	0.104439
"Larry Walker"	0.104244
"Dennis Reyes"	0.103713
"Wade Boggs"	0.103533
Brogna	0.103467
"Frank Catalanotto"	0.102804
Ausmus	0.102465
"Darrin Fletcher"	0.102263
Goodwin	0.102258
"Gary DiSarcina"	0.102242
"Francisco Cordova"	0.102151
"Reggie Jefferson"	0.10123
"Rey Ordonez"	0.10123
Garciaparra	0.101177
Guerrero	0.100992
Mayne	0.100977
"Todd Zeile"	0.100785
Galarraga	0.100478
Ramirez	0.100284
))
("Carlos Menem" (desc 1636.12) (sims
"Fernando Henrique Cardoso"	0.35645
"Alberto Fujimori"	0.274196
"Ernesto Zedillo"	0.25528
"Alexander Lukashenko"	0.215336
"Martti Ahtisaari"	0.201821
"Andres Pastrana"	0.198672
"Jacques Chirac"	0.197442
"Lamberto Dini"	0.195586
"Franjo Tudjman"	0.184568
"Kim Dae Jung"	0.178179
"Vaclav Havel"	0.17738
"Jamil Mahuad"	0.174913
"Pasteur Bizimungu"	0.174181
"Wang Daohan"	0.170043
"Goran Persson"	0.164825
"Yoweri Museveni"	0.162204
"I.K Gujral"	0.162008
"Hosni Mubarak"	0.160483
"Joaquim Chissano"	0.160024
"Mariano Puerta"	0.157482
"Robert Mugabe"	0.156865
"Paavo Lipponen"	0.156474
"Ismail Cem"	0.151946
"Klaus Kinkel"	0.151599
"Sam Nujoma"	0.148714
"Jerzy Buzek"	0.145668
"River Plate"	0.145089
"Suleyman Demirel"	0.144672
Rua	0.144085
"Olusegun Obasanjo"	0.143228
"Kamal Kharrazi"	0.141448
"Igor Sergeyev"	0.140952
"Joseph Estrada"	0.139411
"David Levy"	0.138888
"Romano Prodi"	0.138538
"Wim Kok"	0.137519
"Antonio Guterres"	0.137244
"John Bruton"	0.136849
"Sartaj Aziz"	0.136669
Luong	0.136544
"Girija Prasad Koirala"	0.136168
"Paul Kagame"	0.132823
"Atef Obeid"	0.132716
"Thabo Mbeki"	0.132157
"Mohammad Khatami"	0.132118
"Koo Chen-fu"	0.131908
"Ivan Kostov"	0.131
"Hafez Assad"	0.130468
"Abdullah Ahmad Badawi"	0.130239
"Florencia Labat"	0.129228
"Igor Ivanov"	0.129159
"B.J Habibie"	0.128409
"Amr Moussa"	0.127357
"Boca Juniors"	0.126122
"Boris Yeltsin"	0.125739
"Inder Kumar Gujral"	0.124946
"Vo Van Kiet"	0.124812
"Ketumile Masire"	0.124621
"Franco Squillari"	0.123956
"Tang Jiaxuan"	0.123447
"Benjamin Mkapa"	0.122857
Tella	0.120855
"Ricardo Alarcon"	0.120397
"Hugo Chavez"	0.120277
"Bashkim Fino"	0.120131
"Mariano Zabaleta"	0.120034
"Wlodzimierz Cimoszewicz"	0.119655
Al-Faisal	0.117841
"Mikhail Gorbachev"	0.117089
"Laurent Kabila"	0.115741
"Diego Simeone"	0.114728
"Sepp Blatter"	0.114182
"Abdurrahman Wahid"	0.11303
"Bertie Ahern"	0.112855
"Mikulas Dzurinda"	0.11258
"Jose Maria Aznar"	0.112464
el-Ganzouri	0.111816
"Radu Vasile"	0.111697
"Lokendra Bahadur Chand"	0.110783
Narayanan	0.109721
"Deve Gowda"	0.109581
"Alain Juppe"	0.109082
"Zhu Rongji"	0.108788
Stoyanov	0.108139
"Victor Chernomyrdin"	0.107798
"Tomiichi Murayama"	0.107419
"Prime Minister Kamal El-Ganzouri"	0.106924
Scalfaro	0.106553
"Alija Izetbegovic"	0.106514
"Sali Berisha"	0.106354
"Wang Yeping"	0.105481
"Gabriel Batistuta"	0.105132
"Oded Eran"	0.104445
al-Shara	0.104366
al-Bashir	0.103339
"Valery Pustovoitenko"	0.102587
"Atal Behari Vajpayee"	0.102574
"John Major"	0.102114
"Costas Simitis"	0.10174
Dae-jung	0.100893
"Michel Camdessus"	0.100721
"Atal Bihari Vajpayee"	0.10035
Bashir	0.10029
"Hernan Crespo"	0.100035
"Biljana Plavsic"	0.0993241
"Charles Taylor"	0.0988477
"Goh Chok Tong"	0.0984519
"Lech Walesa"	0.098381
"Vaclav Klaus"	0.0983335
"Jacques Santer"	0.0981555
Kwasniewski	0.0979859
Nujoma	0.0978888
"Qian Qichen"	0.097443
"Nelson Mandela"	0.0972649
Sukarno	0.0972356
Frei	0.0970984
"Pandeli Majko"	0.0969064
Muluzi	0.0968195
"Robin Cook"	0.096241
"Fatos Nano"	0.0956682
"Velez Sarsfield"	0.0949182
"Ung Huot"	0.0945488
"Diego Maradona"	0.0942808
al-Khatib	0.0935961
Niyazov	0.093586
"Aslan Maskhadov"	0.0933266
"Pierre Buyoya"	0.0931479
Phieu	0.0931126
"Warren Christopher"	0.0931066
"Jaswant Singh"	0.0928583
"Abidine Ben Ali"	0.0923565
"Chi Haotian"	0.0923384
"Yoshiro Mori"	0.0919741
"Prince Saud Al-Faisal"	0.0912857
"Hubert Vedrine"	0.0912501
"Joao Havelange"	0.0910852
Mkapa	0.0904336
"Harry S. Truman"	0.0904133
"Mesut Yilmaz"	0.090315
"Strobe Talbott"	0.0899012
"Juan Antonio Samaranch"	0.0895042
Independiente	0.089367
"Abdul Karim Kabariti"	0.0892923
Bouteflika	0.0889647
Karimov	0.0885385
Rakhmonov	0.088489
"Amnuay Virawan"	0.0880767
"Jean Chretien"	0.0880324
"King Abdullah II"	0.0880166
"Krishna Prasad Bhattarai"	0.0879843
"Yasser Abed Rabbo"	0.0879036
"Li Peng"	0.0878779
"Ryutaro Hashimoto"	0.0875657
"Sheikh Hasina"	0.0875267
"Vladimir Putin"	0.0872516
"Jiang Zemin"	0.0869921
"Milos Zeman"	0.0866159
"H.D Deve Gowda"	0.086505
"Rafik Hariri"	0.0863844
"Chuan Leekpai"	0.085857
Menem	0.0856811
"Hernan Gumy"	0.085613
"Chavalit Yongchaiyudh"	0.085562
"Milorad Dodik"	0.0854433
Kuchma	0.0854297
"Frederick Sumaye"	0.0853834
"Boutros Boutros Ghali"	0.0853741
al-Sharaa	0.0846722
"Keizo Obuchi"	0.0844442
"Massimo D'Alema"	0.0843022
"Yitzhak Mordechai"	0.0839709
Klestil	0.083643
"Helmut Kohl"	0.0829758
"P.V Narasimha Rao"	0.0828484
"Wim Duisenberg"	0.0824134
Samper	0.0820369
"President Hafez Al-Assad"	0.0818245
"Jenny Shipley"	0.0817514
Sampaio	0.0816794
"John Sweeney"	0.0811309
"Jordanian King Abdullah Bin Hussein"	0.0809184
"Ariel Ortega"	0.0809052
Klerk	0.0808553
"Phan Van Khai"	0.0805764
"Yevgeny Primakov"	0.0803854
Moi	0.0801486
"Queen Beatrix"	0.0792988
Ganzouri	0.0791026
Eduardo	0.0786871
Demirel	0.0785688
"Bulent Ecevit"	0.0785188
"Lionel Jospin"	0.0782727
"Benazir Bhutto"	0.0775943
Nzo	0.0775617
Pangalos	0.0772093
Zeroual	0.0772003
"Fidel Castro"	0.0767521
Diouf	0.0762491
Chissano	0.0762424
"Than Shwe"	0.0762132
))
("Carlos Moya" (desc 12657.6) (sims
"Gustavo Kuerten"	0.434313
"Felix Mantilla"	0.424766
"Alex Corretja"	0.397281
"Yevgeny Kafelnikov"	0.386678
"Albert Costa"	0.385083
"Richard Krajicek"	0.376468
"Sergi Bruguera"	0.376063
"Goran Ivanisevic"	0.373862
"Patrick Rafter"	0.371609
"Alberto Berasategui"	0.371362
"Thomas Muster"	0.370794
"Marcelo Rios"	0.368139
"Michael Chang"	0.357398
"Thomas Enqvist"	0.354239
"Tim Henman"	0.347493
"Arantxa Sanchez Vicario"	0.345471
"Conchita Martinez"	0.341068
"Greg Rusedski"	0.333826
"Mark Philippoussis"	0.329309
"Petr Korda"	0.324912
"Iva Majoli"	0.323447
"Andre Agassi"	0.32243
"Cedric Pioline"	0.321408
"Anke Huber"	0.319618
"Arantxa Sanchez-Vicario"	0.313549
"Jonas Bjorkman"	0.312656
"Mary Pierce"	0.312187
"Nicolas Kiefer"	0.308641
"Francisco Clavet"	0.306419
"Wayne Ferreira"	0.304475
"Carlos Costa"	0.295677
"Lindsay Davenport"	0.292201
"Magnus Norman"	0.291874
"Pat Rafter"	0.291195
"Karol Kucera"	0.290125
"Todd Martin"	0.289698
"Marat Safin"	0.286232
"Pete Sampras"	0.285719
"Nathalie Tauziat"	0.281145
"Thomas Johansson"	0.279459
"Marc Rosset"	0.278731
"Boris Becker"	0.277825
"Monica Seles"	0.272579
"Albert Portas"	0.269837
"Tommy Haas"	0.269616
"Juan Carlos Ferrero"	0.269601
"Alberto Costa"	0.269142
"Amanda Coetzer"	0.268448
"Jim Courier"	0.267077
"Magnus Gustafsson"	0.263182
"Andrei Medvedev"	0.261396
"Irina Spirlea"	0.26021
"Dominique Van Roost"	0.259582
"Martina Hingis"	0.258948
"Jana Novotna"	0.258905
"Patty Schnyder"	0.257095
"Sandrine Testud"	0.256726
Moya	0.256049
"Jason Stoltenberg"	0.251324
"Venus Williams"	0.249769
"Javier Sanchez"	0.248153
"Galo Blanco"	0.247672
"Fernando Meligeni"	0.247227
"Byron Black"	0.245807
"Steffi Graf"	0.243492
"Russian Yevgeny Kafelnikov"	0.242528
"Julie Halard-Decugis"	0.242465
"Todd Woodbridge"	0.242349
"Mark Woodforde"	0.241781
"Richard Fromberg"	0.240754
"Amelie Mauresmo"	0.239968
"Dominik Hrbaty"	0.238635
"Mariano Puerta"	0.236549
"Julian Alonso"	0.234157
"Magdalena Maleeva"	0.23306
"Barbara Schett"	0.231428
"American Todd Martin"	0.22857
"Magnus Larsson"	0.227389
"Barbara Paulus"	0.22693
"Serena Williams"	0.224925
"Scott Draper"	0.224251
"Nicolas Escude"	0.221581
"Natasha Zvereva"	0.221162
Siemerink	0.221132
"American Lindsay Davenport"	0.220342
"Michael Stich"	0.220224
"Elena Likhovtseva"	0.218351
"Lleyton Hewitt"	0.218314
"Nicolas Lapentti"	0.218306
"Ai Sugiyama"	0.217849
"Filip Dewulf"	0.217449
"Fabrice Santoro"	0.216332
"Chanda Rubin"	0.215216
"Andrea Gaudenzi"	0.214311
"David Prinosil"	0.214162
"American Michael Chang"	0.214161
"Magui Serna"	0.214018
"American Chanda Rubin"	0.21329
"Nathalie Dechy"	0.213146
"Hicham Arazi"	0.210705
"Mariano Zabaleta"	0.210147
"Paul Haarhuis"	0.210086
"Ruxandra Dragomir"	0.209826
"Vincent Spadea"	0.209494
"MaliVai Washington"	0.209143
"Kenneth Carlsen"	0.208119
"Brenda Schultz-McCarthy"	0.208087
Corretja	0.207384
"Arnaud Clement"	0.206927
Kuerten	0.201502
"Sabine Appelmans"	0.200015
"Jennifer Capriati"	0.199902
"Silvia Farina"	0.198965
"Amy Frazier"	0.198838
"Sarah Pitkowski"	0.198443
Kafelnikov	0.198107
"Tamarine Tanasugarn"	0.198093
"Sjeng Schalken"	0.19789
"Davide Sanguinetti"	0.194142
"American Andre Agassi"	0.193971
"Leander Paes"	0.193246
"Sargis Sargsian"	0.192355
Bruguera	0.190755
"Roger Federer"	0.190331
"Sebastien Grosjean"	0.189973
"South African Amanda Coetzer"	0.189633
"Anna Kournikova"	0.18887
"Lisa Raymond"	0.187454
"Arnaud Boetsch"	0.186973
"Chris Woodruff"	0.186838
"Rainer Schuttler"	0.186636
"Ye Zhaoying"	0.186231
"Judith Wiesner"	0.18615
"Stefan Edberg"	0.184351
Agassi	0.184192
"Naoko Sawamatsu"	0.184096
"Jan-Michael Gambill"	0.183552
"Wayne Black"	0.183512
"Gong Zhichao"	0.182986
"Hernan Gumy"	0.182081
"Peter Gade Christensen"	0.181965
"Florencia Labat"	0.181719
"Arnaud Di Pasquale"	0.181675
"Peter Nicol"	0.181589
"Karim Alami"	0.181153
"Gianluca Pozzi"	0.181027
"Franco Squillari"	0.180706
"Australian Mark Philippoussis"	0.179384
Henman	0.179236
"Guillaume Raoux"	0.178065
"American Pete Sampras"	0.177418
"Juan Antonio Marin"	0.176903
"Jerome Golmard"	0.176235
"Kong Linghui"	0.175209
Enqvist	0.175078
"Younes El Aynaoui"	0.173756
"Anne Kremer"	0.172842
"Mikael Tillstrom"	0.172003
"Kimiko Date"	0.170967
Majoli	0.169692
"Slava Dosedel"	0.169097
"Anne-Gaelle Sidot"	0.169078
"Andrei Pavel"	0.168402
"Bohdan Ulihrach"	0.167573
"Daniel Vacek"	0.167396
"Joannette Kruger"	0.167276
"Mary Joe Fernandez"	0.166426
"Daniel Nestor"	0.166031
"Rodney Eyles"	0.16541
"Adrian Voinea"	0.165144
"Jansher Khan"	0.16486
"Christian Ruud"	0.16485
"Karina Habsudova"	0.164031
"Abraham Olano"	0.16197
"Jeff Tarango"	0.161236
Pioline	0.161173
"Brett Steven"	0.161168
"Wang Nan"	0.159465
Novotna	0.159457
Sanchez-Vicario	0.159032
"Miriam Oremans"	0.159025
rios	0.158846
Clavet	0.158575
"Ramon Delgado"	0.158507
Bjorkman	0.158506
Seles	0.158498
"Camilla Martin"	0.158084
Hingis	0.15747
"Yayuk Basuki"	0.157218
"Mark Knowles"	0.157215
"Martin Damm"	0.157097
"Tatiana Panova"	0.156597
"Richey Reneberg"	0.156386
"Heryanto Arbi"	0.155952
"Li Fang"	0.154399
"Andres Gomez"	0.153859
Rusedski	0.15376
Ivanisevic	0.152774
"Elena Dementieva"	0.152546
"Wang Liqin"	0.15218
Sampras	0.15176
Philippoussis	0.151652
"Grant Stafford"	0.151627
Krajicek	0.151401
"Jan-Ove Waldner"	0.151002
"Liu Guoliang"	0.14925
"Renzo Furlan"	0.148977
"Mahesh Bhupathi"	0.14886
"Henrieta Nagyova"	0.148461
Mantilla	0.147829
"Jiri Novak"	0.147563
Kroslak	0.146763
Stoltenberg	0.146381
"Andrew Ilie"	0.1454
Berasategui	0.145377
"Marcos Ondruska"	0.145248
Kucera	0.142858
"Asa Carlsson"	0.142775
"Cara Black"	0.142679
"Miguel Indurain"	0.140738
"Peter Rasmussen"	0.140616
"Alex O'Brien"	0.140573
"Marcelo Filippini"	0.139201
"Kimberly Po"	0.138966
"Joko Suprianto"	0.13869
"Vince Spadea"	0.138613
"Sanchez Vicario"	0.138424
Rafter	0.138004
"Justin Gimelstob"	0.137941
Davenport	0.137141
Hendrawan	0.136216
"Sebastien Lareau"	0.135962
"Li Ju"	0.135213
"Steve Campbell"	0.135055
"Jonathan Stark"	0.134275
"Andreas Vinciguerra"	0.133978
"Kim Clijsters"	0.133477
"Nicklas Kulti"	0.132906
"Taufik Hidayat"	0.132702
"Paola Suarez"	0.132259
Coetzer	0.131996
"Briton Greg Rusedski"	0.131934
"Dai Yun"	0.131208
"Garry Kasparov"	0.130847
Safin	0.13061
"Jelena Dokic"	0.129215
"Alexandra Fusai"	0.129102
"Xavier Malisse"	0.128784
"Jorgen Persson"	0.128375
"Olga Barabanschikova"	0.128326
Korda	0.127673
Rosset	0.127621
"Catalina Cristea"	0.126926
Chang	0.126313
"Nicole Pratt"	0.126177
Halard-Decugis	0.126014
"Tara Snyder"	0.124733
Tauziat	0.124239
"Ge Fei"	0.12401
"Fung Permadi"	0.12377
"Vladimir Samsonov"	0.123588
"Corina Morariu"	0.122907
Testud	0.122809
"Mia Audina"	0.122799
"Jacco Eltingh"	0.122414
"Jean-Philippe Gatien"	0.121848
"Neville Godwin"	0.121662
Ulihrach	0.121094
"Dong Jiong"	0.120929
"Mirjana Lucic"	0.120499
"John McEnroe"	0.120455
Mauresmo	0.119106
"Michael Tebbutt"	0.118931
"Xia Xuanze"	0.118928
"Els Callens"	0.118666
"Zhang Ning"	0.118535
"Chicago Fire"	0.117915
Dragomir	0.117642
Kiefer	0.117614
"MIka Hakkinen"	0.117254
Sugiyama	0.11627
Capriati	0.116132
"Fernando Escartin"	0.115638
Waldner	0.115145
"Rita Grande"	0.114795
"Carlos Sainz"	0.113323
"Paul Tergat"	0.112936
"John Van Lottum"	0.112522
Zvereva	0.112206
"Maria Butyrskaya"	0.111766
"Jimmy Connors"	0.111491
"Wang Chen"	0.111424
"Barbara Rittner"	0.111199
Ferreira	0.110841
"Ji Xinpeng"	0.110693
"Real Madrid"	0.110429
"Guy Forget"	0.110083
"Ong Ewe Hock"	0.11001
"Susi Susanti"	0.109937
"Sandon Stolle"	0.10867
Swardt	0.108621
"Liu Yong"	0.107154
Susanti	0.107134
"Ma Lin"	0.106681
"Jose Maria Olazabal"	0.105449
"Wayne Arthurs"	0.105386
"Gong Ruina"	0.105056
Kournikova	0.10473
"Chen Jing"	0.104707
"Kristie Boogert"	0.104204
"Daniel Komen"	0.103621
"Kveta Hrdlickova"	0.103518
Serena	0.103513
"Colin McRae"	0.102822
"Shanghai Shenhua"	0.102796
"Paul Goldstein"	0.102781
"Wang Tao"	0.102626
Olympiakos	0.102489
"Rika Hiraki"	0.102127
"Van Roost"	0.101984
"Yang Ying"	0.101742
Muster	0.101246
"Katja Seizinger"	0.101186
"Borussia Dortmund"	0.101007
"Weber State"	0.10009
))
("Carlos Perez" (desc 7774.61) (sims
"Eric Gagne"	0.304177
"Mike Judd"	0.294614
"Darren Dreifort"	0.284264
"Chan Ho Park"	0.27875
"Ismael Valdes"	0.259572
"Dave Mlicki"	0.254768
"Onan Masaoka"	0.237683
"Shawn Estes"	0.219763
"Pedro Borbon"	0.201956
"Brian Bohanon"	0.200163
"Eric Milton"	0.194554
"Todd Hollandsworth"	0.192893
"Antonio Osuna"	0.189579
"Matt Herges"	0.189235
"Terry Mulholland"	0.183182
"Jamey Wright"	0.182364
"Mike Fetters"	0.181553
"Jeff Williams"	0.178605
"Javier Vazquez"	0.178543
"Mark Gardner"	0.177103
"Chuck Finley"	0.172746
"Scott Karl"	0.170859
"Pete Schourek"	0.170252
"Terry Adams"	0.168509
"Kirk Rueter"	0.168294
"Ramon Martinez"	0.167121
"Eric Karros"	0.166717
"Kevin Brown"	0.165316
"Mike Hampton"	0.162744
"Brian Anderson"	0.161854
"Jon Lieber"	0.159904
"Justin Thompson"	0.159412
"Hideo Nomo"	0.159321
"Alan Mills"	0.159281
"Jarrod Washburn"	0.159124
"Omar Daal"	0.158446
"Wilson Alvarez"	0.158099
"Adrian Beltre"	0.157795
"Kent Mercker"	0.156824
Dreifort	0.156432
"Woody Williams"	0.155994
"Ed Yarnall"	0.154825
"Robinson Checo"	0.1539
"Ron Villone"	0.153128
Mlicki	0.152477
"Sterling Hitchcock"	0.152462
"Mike Remlinger"	0.151194
"Jeff Fassero"	0.151113
"Willie Blair"	0.150766
"Mark Grudzielanek"	0.150528
"Randy Myers"	0.148403
"F.P Santangelo"	0.146889
"Jamie Moyer"	0.14688
"Jesus Sanchez"	0.146368
"Darren Oliver"	0.145901
"Steve Parris"	0.145864
"Scott Radinsky"	0.145258
"Jim Parque"	0.145118
Mercker	0.144333
"Doug Davis"	0.144072
"Orel Hershiser"	0.143577
"Eric Young"	0.143274
Valdes	0.143258
"Jason Christiansen"	0.14312
"Steve Avery"	0.142463
"Dustin Hermanson"	0.141586
"Raul Mondesi"	0.141464
"Alan Embree"	0.141282
"Denny Neagle"	0.141266
"Andy Pettitte"	0.140788
"Steve Sparks"	0.140476
"Bruce Chen"	0.139933
"Tom Candiotti"	0.139712
"Armando Reynoso"	0.139471
"Russ Ortiz"	0.139108
"Pat Rapp"	0.138808
"Octavio Dotel"	0.138736
"Jose Vizcaino"	0.13794
"John Halama"	0.137634
"Jamie Arnold"	0.136902
"Dave Burba"	0.136818
"Devon White"	0.136638
"John Burkett"	0.135873
"Pat Hentgen"	0.135511
"Jeff Shaw"	0.135491
"Al Leiter"	0.135446
Halama	0.134522
"Kenny Rogers"	0.134498
"Dennis Reyes"	0.134212
"Mark Clark"	0.133945
"Jesse Orosco"	0.133887
"Mike Morgan"	0.133729
"Jeff Weaver"	0.13307
"Mike Sirotka"	0.131899
"Odalis Perez"	0.130631
"Mike Holtz"	0.129785
"Ken Cloude"	0.128899
Gagne	0.128604
Parris	0.127295
"Arthur Rhodes"	0.12723
"Kevin Tapani"	0.127221
"Mark Langston"	0.127195
"Kent Bottenfield"	0.127153
"Chris Carpenter"	0.126927
"Jason Schmidt"	0.12672
"Esteban Loaiza"	0.126231
"Greg Swindell"	0.12541
"Brian Rose"	0.125287
"Joey Hamilton"	0.125048
"Mark Guthrie"	0.124541
"Francisco Cordova"	0.124456
"Darryl Kile"	0.124376
"Todd Stottlemyre"	0.124304
"Gary Sheffield"	0.123924
Perez	0.123615
"Kevin Appier"	0.123525
Kile	0.123163
"Brad Radke"	0.123147
"Ken Hill"	0.122947
"Graeme Lloyd"	0.122557
"Brett Tomko"	0.122324
"Paul Spoljaric"	0.122104
"Tom Glavine"	0.122063
"Todd Hundley"	0.122048
Schoeneweis	0.121878
Eldred	0.121816
"Steve Trachsel"	0.121662
"Masato Yoshii"	0.121646
"John Snyder"	0.12135
"Bryce Florie"	0.12108
"Scott Erickson"	0.121038
Neagle	0.120864
"Allen Watson"	0.120473
"Jin Ho Cho"	0.120087
"Brian Moehler"	0.120073
"Jason Dickson"	0.119966
"Dwight Gooden"	0.119526
"David Wells"	0.119386
"Mark Portugal"	0.119175
"Carl Pavano"	0.118988
"Pete Harnisch"	0.118598
"Tim Belcher"	0.118156
"Matt Morris"	0.118133
"Bill Pulsipher"	0.117362
"Scott Schoeneweis"	0.11644
"Rick Reed"	0.116145
"Shawn Green"	0.115258
"Gregg Olson"	0.114945
"Juan Guzman"	0.114809
"Kerry Wood"	0.114502
"Alex Cora"	0.114367
"Bret Saberhagen"	0.114327
Checo	0.114305
"Chris Holt"	0.113602
"Omar Olivares"	0.113518
"Hideki Irabu"	0.113186
"Andy Benes"	0.113048
Rusch	0.112743
"Freddy Garcia"	0.112383
Bottenfield	0.112218
"Ugueth Urbina"	0.11212
"Paul Byrd"	0.111786
Herges	0.111563
Candiotti	0.11151
"Shane Reynolds"	0.110862
Vizcaino	0.110856
"Rich Rodriguez"	0.110555
Burkett	0.110312
Bohanon	0.110274
Benes	0.110126
"Mel Rojas"	0.109919
Elarton	0.109738
"Paul Abbott"	0.109502
"Jack McDowell"	0.109332
"Ryan Glynn"	0.109033
Isringhausen	0.108494
Daal	0.107644
"Bobby Bonilla"	0.107591
"Chuck McElroy"	0.107483
"Orlando Hernandez"	0.106868
"Gil Heredia"	0.106748
Harnisch	0.106067
Millwood	0.105929
"Ryan Dempster"	0.105813
Fassero	0.105787
"Pedro Astacio"	0.105657
"Curt Schilling"	0.10509
"Brett Hinchliffe"	0.105084
"Jason Bere"	0.104666
"Randy Johnson"	0.104608
"Ramon Ortiz"	0.104444
Hershiser	0.103869
"Sidney Ponson"	0.103724
"Andy Ashby"	0.103517
"Rheal Cormier"	0.102734
"Aaron Sele"	0.102085
"Dennis Cook"	0.101852
"Kevin Elster"	0.100904
"Jose Jimenez"	0.100874
Loaiza	0.100707
"John Smoltz"	0.100472
Etherton	0.100381
Astacio	0.100126
"Rolando Arrojo"	0.100086
))
("Carlos Rogers" (desc 1753.5) (sims
"Stacey Augmon"	0.356237
"Walt Williams"	0.327555
"Ed Gray"	0.209876
"Jermaine O'Neal"	0.206846
"Tony Massenburg"	0.197709
"Kenny Thomas"	0.175479
"Kelvin Cato"	0.163926
"Jim Jackson"	0.155892
"Greg Anthony"	0.149113
"Bonzi Wells"	0.132197
"Robert Traylor"	0.127536
"Detlef Schrempf"	0.11758
"Brian Grant"	0.113791
"Shandon Anderson"	0.100233
"Samaki Walker"	0.10017
"Michael Finley"	0.0986768
"Shawn Marion"	0.0963855
"A.C. Green"	0.0950087
"Chris Crawford"	0.0943024
"Rasheed Wallace"	0.0934814
"Derek Fisher"	0.0932209
"Travis Knight"	0.0918755
"Don Maclean"	0.0908071
"Brian Shaw"	0.088981
"Jelani McCoy"	0.0882902
"Corliss Williamson"	0.0839238
"Chris Gatling"	0.0826675
"Derrick Coleman"	0.0820892
"John Salley"	0.0812128
"John Wallace"	0.0788041
"Lamond Murray"	0.0776775
"Danny Manning"	0.0761668
"Clarence Weatherspoon"	0.0756949
"Gary Trent"	0.0754821
"Rick Fox"	0.0734761
"Richard Jefferson"	0.0730407
"Bruce Bowen"	0.0717509
"Chris Anstey"	0.0714434
"Hakeem Olajuwon"	0.0710312
"Mark Bryant"	0.0708348
"Cedric Ceballos"	0.0703778
"Glen Rice"	0.0692639
"Gabe Muoneke"	0.0685447
"Jumaine Jones"	0.0681335
"Tom Gugliotta"	0.0677612
"Charles Barkley"	0.0676444
"Jayson Williams"	0.0674474
"Jamie Feick"	0.0671182
"Tina Thompson"	0.0667614
"Jarvis Turner"	0.0661546
"Hu Weidong"	0.0655681
"Tim Thomas"	0.0652018
"Ante Razov"	0.0650275
"Donyell Marshall"	0.0637164
"Sam Clancy"	0.0633259
"Antonio Davis"	0.0628925
"Matt Bullard"	0.0627504
"Chris Mills"	0.0627342
"Toni Kukoc"	0.062654
"Sean Elliott"	0.0621949
"Danny Fortson"	0.061881
"Dejan Savicevic"	0.0612099
"Buck Williams"	0.0609081
"CORIE BLOUNT"	0.0606653
"Isaiah Rider"	0.0606256
"Pavol Demitra"	0.0601592
"Khodadad Azizi"	0.0600469
"Otis Thorpe"	0.0595127
"LaPhonso Ellis"	0.0592314
"Dirk Nowitzki"	0.0591116
"Damon Stoudamire"	0.059003
"Leon Smith"	0.0586906
"Steve Smith"	0.0585899
"Othella Harrington"	0.058017
"Robert Horry"	0.0575687
"Faustino Asprilla"	0.0560738
"David Wesley"	0.0560516
"Ron Harper"	0.0557851
"Dan Majerle"	0.0556617
"Eric Wynalda"	0.0556213
"Adrian Ilie"	0.0555777
"Tamika Catchings"	0.0555288
"Bryon Russell"	0.0551982
"Matthew Barnaby"	0.0550454
"Clifford Robinson"	0.0547783
"J.R Reid"	0.0546919
"Michael Smith"	0.0541421
"Hao Haidong"	0.0536431
"Aaron Williams"	0.0534337
"Shawn Kemp"	0.0530789
"Michael Wright"	0.0529551
"Matt Barnes"	0.052699
"Rodney Rogers"	0.0526177
"George McCloud"	0.052179
"Roy Lassiter"	0.0517447
"Rashard Lewis"	0.0517006
"Elden Campbell"	0.051597
"Keith Van Horn"	0.0508514
"Brian Skinner"	0.0507444
"Maurice Taylor"	0.0507441
"Chris Mullin"	0.0506612
"Grant Long"	0.0503505
"Pat Garrity"	0.0503119
"Sean Farnham"	0.049762
"Jeff Trepagnier"	0.0497254
"Joe Smith"	0.0494868
"Predrag Mijatovic"	0.0493513
"Jamal Mashburn"	0.0489923
"Kris Clack"	0.0487958
"Chamique Holdsclaw"	0.0486398
"Rico Hines"	0.0485652
"Ruben Patterson"	0.0483527
"Terry Cummings"	0.0481864
"Chris Porter"	0.0480995
"Ted Donato"	0.0480156
"Raef LaFrentz"	0.0479008
"Marcus Fizer"	0.0475909
"Harry Kewell"	0.0473746
"Tiffeny Milbrett"	0.047372
"Lee Nailon"	0.0473555
"Mark Madsen"	0.0472446
"Luis Hernandez"	0.0471289
"Rick Tocchet"	0.0470636
"Antoine Walker"	0.0470528
"Darren McCarty"	0.0470064
"Christian Laettner"	0.0468315
"Chris Webber"	0.046646
"Sheryl Swoopes"	0.0464287
"Paul Merson"	0.0461472
"Dennis Scott"	0.0461305
"Antoine Carr"	0.0453516
"Matt Johnson"	0.0452217
"Ron Artest"	0.0450334
"Shannon MacMillan"	0.0448906
"Ian Wright"	0.0448212
"Billy Owens"	0.0448106
"Brian Scalabrine"	0.0446744
"Wally Szczerbiak"	0.0445504
"Glenn Robinson"	0.0443234
"Antonio McDyess"	0.0440117
"Enrico Chiesa"	0.0438696
"Alexei Kovalev"	0.0438617
"Chris Carrawell"	0.0437837
"Alen Boksic"	0.0437807
"Juwan Howard"	0.043777
"Donald Brashear"	0.0437634
"Eric Piatkowski"	0.0437572
"Tony Battie"	0.0437264
"Shareef Abdur-Rahim"	0.0436631
"Raul Diaz Arce"	0.0435567
"Corey Maggette"	0.0434997
"Austin Croshere"	0.0434197
"Wendel Clark"	0.0432221
"Kevin Freeman"	0.0431124
"Jerome Kersey"	0.0429974
Taubensee	0.0428127
"Jason Kapono"	0.0427305
"Brian Rolston"	0.0426762
"Ron Mercer"	0.0426241
"Juergen Klinsmann"	0.0425745
"Keith Tkachuk"	0.0424064
"DeLisha Milton"	0.042375
"Anthony Mason"	0.0423493
"Brian Laudrup"	0.0423201
"Dixon Ward"	0.0421079
"Hubert Davis"	0.042107
"Lamar Odom"	0.0419837
"Kirk Muller"	0.0418191
"Shane Battier"	0.041796
"P.J Axelsson"	0.0417389
"Pat Verbeek"	0.0416536
"Cliff Robinson"	0.0415944
"Tyrone Nesby"	0.0414358
"Shane Doan"	0.0414009
lateral	0.0411303
Sabonis	0.0409228
"Cindy Parlow"	0.0406756
"Bryce Drew"	0.0406129
"Antawn Jamison"	0.0405057
"Ziggy Palffy"	0.0404875
"Alan Henderson"	0.040475
"Rebecca Lobo"	0.0404019
"Devean George"	0.0403705
"Matt Harpring"	0.0403173
"Sun Wen"	0.0403006
"Tracy McGrady"	0.0402399
"Ken Belanger"	0.040223
"Dallas Drake"	0.0400325
))
("Carlos Sainz" (desc 4066.81) (sims
"Colin McRae"	0.291174
"Didier Auriol"	0.267983
"Abraham Olano"	0.2642
"Tommi Makinen"	0.250817
"Richard Burns"	0.209259
"Miguel Indurain"	0.198898
"Juha Kankkunen"	0.19662
"MIka Hakkinen"	0.183697
"Fernando Escartin"	0.176427
"Damon Hill"	0.165501
"David Coulthard"	0.161159
"Sergi Bruguera"	0.159067
"Paul Tergat"	0.155156
Sainz	0.153784
"Carlos Costa"	0.148505
"Jacques Villeneuve"	0.148248
"Galo Blanco"	0.145274
"Albert Portas"	0.143449
"Eddie Irvine"	0.142463
"Michael Schumacher"	0.140628
"Francisco Clavet"	0.139879
"Michael Doohan"	0.134995
"Moses Tanui"	0.133413
"Johan Museeuw"	0.132164
"Arantxa Sanchez Vicario"	0.130505
"Alberto Berasategui"	0.129448
"Maria Butyrskaya"	0.126272
"Albert Costa"	0.125504
"Pavel Tonkov"	0.124289
"Chris Boardman"	0.123196
"Julian Alonso"	0.123173
"Max Biaggi"	0.123099
Makinen	0.122757
"Laurent Jalabert"	0.121898
Ullrich	0.121878
"Felix Mantilla"	0.121786
"Marco Pantani"	0.120478
"Javier Sanchez"	0.119833
"Jimmy Vasser"	0.11957
"Elena Berezhnaya"	0.117458
"Heinz-Harald Frentzen"	0.116747
"Alex Zanardi"	0.11651
"Conchita Martinez"	0.115048
"Anjelika Krylova"	0.114482
"Jose Maria Olazabal"	0.11414
"Carlos Moya"	0.113323
"Alex Zuelle"	0.113303
"Tom Steels"	0.113052
"Katja Seizinger"	0.112425
"Sonia O'Sullivan"	0.110144
"Arantxa Sanchez-Vicario"	0.109876
"Li Jiajun"	0.107699
"Jean-Philippe Gatien"	0.106949
"Billy Boat"	0.106709
"Guo Jingjing"	0.106693
"Dale Jarrett"	0.106601
"Svetlana Khorkina"	0.106182
"Kenny Brack"	0.105363
"Juan Carlos Ferrero"	0.104278
"Elvis Stojko"	0.104123
"Allen Johnson"	0.1036
"Todd Eldredge"	0.103366
"Alexandra Meissnitzer"	0.102916
"Magui Serna"	0.10259
"Alex Corretja"	0.102226
"Bjarne Riis"	0.102071
"Inger Miller"	0.1017
"Maria Mutola"	0.100736
"Thomas Stangassinger"	0.100727
"Michael Andretti"	0.100195
"Merlene Ottey"	0.0999379
"Bjarte Engen Vik"	0.0998921
"Miguel Angel Jimenez"	0.0998109
"Buster Douglas"	0.0997541
"Deon Hemmings"	0.0993122
"Eddie Cheever"	0.098541
Longo	0.0978549
"FC Barcelona"	0.0978416
"Hermann Maier"	0.0975399
"Stuart O'Grady"	0.0973575
"Bruny Surin"	0.0972034
"Mark Martin"	0.0968357
"Jansher Khan"	0.0966626
"Daniel Komen"	0.0963944
"Real Madrid"	0.0963545
"Wang Yifu"	0.0961909
"Alberto Costa"	0.0959087
"Frank Bruno"	0.095889
"Michael Von Gruenigen"	0.0958672
"Shanghai Shenhua"	0.0958107
"Scott Sharp"	0.0955928
"Christine Arron"	0.0953404
"Michele Bartoli"	0.0952275
Jalabert	0.0943356
"Jeff Burton"	0.094073
"Alexei Nemov"	0.0935018
"Paul Tracy"	0.0932975
"Fatuma Roba"	0.0925739
"Michael Klim"	0.0924165
"Scott Pruett"	0.0923466
"Juan Montoya"	0.092108
"Laurent Brochard"	0.09196
"Liu Limin"	0.0916841
"Brooke Bennett"	0.091469
"Martina Ertl"	0.0913083
Hakkinen	0.0913034
"Rodney Eyles"	0.0904988
"Garry Kasparov"	0.0903377
Susanti	0.0902574
"Irina Privalova"	0.0901241
"Jorgen Persson"	0.08963
"Yang Yang"	0.0894436
"Anita Wachter"	0.0891541
"Juan Antonio Marin"	0.0890373
"Lance Armstrong"	0.0885993
"Deborah Compagnoni"	0.0881995
Shuwei	0.0879244
"Gabriela Szabo"	0.0878192
"Renate Goetschl"	0.0874858
"Lasse Kjus"	0.0874222
"Celta Vigo"	0.0869306
"Ricky Rudd"	0.0868809
"Picabo Street"	0.0867167
"Peter Rasmussen"	0.0866949
"Fu Mingxia"	0.0866499
"Bobby Labonte"	0.0864859
"Alexei Yagudin"	0.0863777
Coulthard	0.0861816
"Derrick Adkins"	0.0859373
"Fiona May"	0.0835648
"Christian Fittipaldi"	0.0833796
"Chen Lu"	0.0831873
"Atletico Madrid"	0.0825524
"Isolde Kostner"	0.0824535
Celta	0.0824392
"Ato Boldon"	0.0823547
"Maurice Greene"	0.082083
"Erik Zabel"	0.0818495
"Bill Elliott"	0.0818018
"Jubilo Iwata"	0.081796
"Rintje Ritsma"	0.0817046
"Pernilla Wiberg"	0.0816718
"Tegla Loroupe"	0.0815784
"Tom Dolan"	0.081491
"Scott Goodyear"	0.0814332
"Tony Stewart"	0.0812359
"Liu Yong"	0.0811555
"Dario Franchitti"	0.081092
"Joko Suprianto"	0.0807961
"Jeff King"	0.0806178
"Svetlana Masterkova"	0.0805608
"Rubens Barrichello"	0.0801919
"Matt Kenseth"	0.0800388
"Wang Junxia"	0.0799647
"Marie-Jose Perec"	0.0799406
Villeneuve	0.0797579
"Deportivo Coruna"	0.0797263
"Gail Devers"	0.0796165
"Jeremy Wotherspoon"	0.0795633
"Samantha Riley"	0.0792901
"Ge Fei"	0.0792876
"Dong Jiong"	0.0792655
"Simona Amanar"	0.0789972
"Steve Backley"	0.0789584
"Bobby Rahal"	0.0789574
"Yu Zhuocheng"	0.0789116
"Claudia Poll"	0.0785808
"Kong Linghui"	0.0782989
Doohan	0.0782835
"Lu Yufu"	0.0782739
Schumacher	0.0781191
"Liu Guoliang"	0.077867
"Kieren Perkins"	0.0778523
"Kjetil Andre Aamodt"	0.0776976
"Blaine Wilson"	0.0774263
"Sam Schmidt"	0.0774235
"Martin Schmitt"	0.0772714
"Juli Inkster"	0.0768436
"Oksana Kazakova"	0.0766151
"Gil Morgan"	0.0766097
"King Juan Carlos"	0.0764516
"Mark Crear"	0.0764446
"Ivan Pedroso"	0.0760889
Olano	0.0759085
"Ivan Ivankov"	0.0756809
"Zoran Primorac"	0.0753229
"Cathy Freeman"	0.0752177
"Darrell Waltrip"	0.0750622
"Linford Christie"	0.074864
Zelezny	0.0748585
"Mika Salo"	0.0747485
"Real Betis"	0.0744835
"Frankie Fredericks"	0.0742828
"American Pete Sampras"	0.0738384
"Dalian Wanda"	0.0737898
REPSOL	0.073756
"Dale Earnhardt Jr."	0.07365
"Liu Xuan"	0.0735092
"Seibu Lions"	0.0734966
"Irina Slutskaya"	0.0733771
))
("Carlos Salinas" (desc 971.697) (sims
Kalejs	0.138702
Salinas	0.136701
"Joseph Estrada"	0.117227
Blackthorne	0.112998
Bedie	0.109571
Haouari	0.107675
Lileikis	0.105256
Aquino	0.104741
Merlino	0.104467
Cianci	0.102142
Giacchetto	0.0994962
Mladic	0.0992166
Priebke	0.0978166
Samper	0.0959177
Diouf	0.0959138
Craxi	0.0957884
Nasrin	0.0953384
"Woodrow Wilson"	0.0942878
Swango	0.0935495
Eyadema	0.0930436
"Kim Dae Jung"	0.0916204
"Ricardo Lagos"	0.0899803
Borodin	0.089667
Prabowo	0.088905
"Cary Stayner"	0.088658
Ince	0.087834
Mikhailov	0.0875046
Ershad	0.0872592
Vieira	0.0864526
Masire	0.0856693
Shayler	0.0856401
Musa	0.0853995
Coles	0.0852096
Stayner	0.0850863
Villalonga	0.0838437
chun	0.0837824
"Jacques Santer"	0.0835391
Weizman	0.083037
Karimov	0.0824913
Balaguer	0.0824002
"Joao Havelange"	0.0820961
Brunner	0.081982
Dokmanovic	0.0811914
"Franklin D. Roosevelt"	0.0809175
"Renato Ruggiero"	0.0808627
Fordice	0.0806575
"Thabo Mbeki"	0.0803008
"Rae Carruth"	0.0799911
"El Hage"	0.0797787
Hrawi	0.0788552
"Di Canio"	0.0788217
Kazhegeldin	0.078691
Chadwick	0.0786455
Yadav	0.0785033
Lacresha	0.0783703
"Dinko Sakic"	0.0781693
Havelange	0.0774505
Symington	0.0772863
Karr	0.0771057
Faget	0.0770651
Kiareldeen	0.0770065
Aleman	0.0765697
"Maturino Resendez"	0.0755476
Harding	0.075257
"Jamil Mahuad"	0.0746644
Bizimungu	0.0742847
Bakaly	0.0741727
Conte	0.0740875
"Paolo Di Canio"	0.0738731
Hamid	0.0737553
"B.J Habibie"	0.0733112
"Andres Pastrana"	0.0732003
Villanueva	0.0731002
Sharma	0.0729103
Baumhammers	0.0726916
"Andrew Johnson"	0.0726624
Einhorn	0.072542
Kodikian	0.0724758
Obasanjo	0.0723097
"Zapatista National Liberation Army"	0.0721822
"Franjo Tudjman"	0.0715563
"Olusegun Obasanjo"	0.071524
ex-president	0.0703195
Bongo	0.0701679
Gauthe	0.0701264
"Michael Skakel"	0.0701116
"Russell Peeler"	0.0695632
Nikitin	0.0695053
Dumas	0.0694556
Soliah	0.0694081
"Charles Taylor"	0.0692823
Nebiolo	0.0692292
"Juan Antonio Samaranch"	0.0688526
"Ulysses S. Grant"	0.0685687
Paciello	0.0684714
Trevi	0.0682552
Schiffer	0.0680823
Bove	0.0680202
ex-convicts	0.0679608
"Bin Laden"	0.0678763
Basayev	0.0678512
"John Kim"	0.0677092
"David Hale"	0.0676069
Chinese-Indonesians	0.0673998
Ritter	0.0671986
Gravano	0.0670923
"Mohammad Khatami"	0.0669227
Hanley	0.0667854
Kwasniewski	0.0667642
"P.V Narasimha Rao"	0.0667422
Kulikov	0.0667043
Abernathy	0.0666432
"Alberto Fujimori"	0.0665209
Piggie	0.066475
Ghani	0.0664486
Rao	0.066414
Hsia	0.0663658
Narayanan	0.0660098
Schaeuble	0.0660044
UNP	0.0659626
"Julie Hiatt Steele"	0.0658343
Shipman	0.0657123
Garcetti	0.0649839
Naumann	0.0646118
Ruggiero	0.0642037
Cavallo	0.063996
McKinley	0.0638719
Imperatori	0.063456
Gullit	0.0634108
"Franklin Roosevelt"	0.0630127
Eduardo	0.0629877
Boesak	0.0629746
Kumaratunga	0.0629323
Sakic	0.0627628
"Iranian Jews"	0.0627497
Marcos	0.0627253
Elhage	0.0626775
"Krishna Prasad Bhattarai"	0.062669
Kopp	0.0625335
"Sali Berisha"	0.06252
first-grader	0.062467
Sampaio	0.062327
Fabius	0.0623233
twenty-four	0.0622239
Kagalovsky	0.0622184
"Raul Salinas"	0.0617793
Kaunda	0.061637
Bhutto	0.0614736
"Theodore Kaczynski"	0.0614295
"Franklin Delano Roosevelt"	0.0612593
Mattysse	0.0612189
"Hugo Chavez"	0.0608349
"Herbert Hoover"	0.0607648
Carruth	0.0606008
Haughey	0.0605618
Uliassi	0.0605544
Banharn	0.0605534
"Human Immunodeficiency Virus"	0.060551
Cardoso	0.0603824
"Wim Duisenberg"	0.0603512
Mitterrand	0.0602316
Barrionuevo	0.060133
Mobutu	0.0601125
Lissouba	0.0600869
Virenque	0.0599743
Chavalit	0.0597437
Phelan	0.0594521
Callaghan	0.0594425
Amin	0.0593665
Ong	0.0593624
Nkabinde	0.0592902
"De Klerk"	0.0592084
Danner	0.0590708
Deri	0.0590181
Gaynor	0.0589771
Neulander	0.0588002
Rifaat	0.0587367
Finkel	0.0586242
"Abu Nidal"	0.0585433
"Lyndon B. Johnson"	0.0584579
McKinney	0.0584577
Menem	0.0584222
Protas	0.0583982
Berisha	0.0583099
Newsome	0.0582975
Kovacevic	0.058054
Laudor	0.058017
Verney	0.0579676
Gowda	0.0579081
"Foday Sankoh"	0.0578282
Sherrill	0.0577412
Shinn	0.0575618
Meciar	0.0575365
Trulock	0.0575264
Sanan	0.057351
Meskini	0.0571254
"Tom Welch"	0.0570482
Lazarenko	0.0570118
one-upmanship	0.0568913
Hiett	0.0567702
))
("Carlos Santana" (desc 3321.67) (sims
"Eric Clapton"	0.159613
Santana	0.140731
"Christina Aguilera"	0.123916
"Lauryn Hill"	0.116344
"Patti Smith"	0.111833
"B.B King"	0.108202
"Lenny Kravitz"	0.103813
"Jon Bon Jovi"	0.0964261
Coolio	0.0938031
"Ricky Martin"	0.0933723
"Jimmy Page"	0.0923664
"Bruce Springsteen"	0.0881652
"Mary J. Blige"	0.0835634
"Jimi Hendrix"	0.0826084
"David Bowie"	0.0818899
"Melissa Etheridge"	0.0807475
"Don Henley"	0.0761238
"Marc Anthony"	0.0759327
"Peter Gabriel"	0.0759311
"Sarah McLachlan"	0.0738278
"Chrissie Hynde"	0.0735677
"Mariah Carey"	0.0734582
"Tito Puente"	0.0730488
"Janet Jackson"	0.0721421
bandleader	0.0695579
"Britney Spears"	0.0693628
"Marilyn Manson"	0.0691708
"Bob Dylan"	0.0690699
"Enrique Iglesias"	0.068579
"John Mellencamp"	0.0677672
"Macy Gray"	0.0673889
"Iggy Pop"	0.0670195
"Alberto Tomba"	0.066563
singer-songwriter	0.0662684
Setzer	0.0654123
"Robert Johnson"	0.0650235
guitarist	0.0650205
"Phil Collins"	0.064929
"Tina Turner"	0.0649
"Bobby Brown"	0.0646169
Arthurs	0.064511
"Duke Ellington"	0.0643181
"Billy Joel"	0.0640441
"Jim Morrison"	0.0639263
"Jerry Garcia"	0.0635599
"Sheryl Crow"	0.0631873
"Hristo Stoichkov"	0.063171
"Gordie Howe"	0.0630001
"Johan Cruyff"	0.0626908
Atler	0.0619405
Polgar	0.0619318
"Martina Navratilova"	0.0618929
"Diana Ross"	0.0613973
"Celine Dion"	0.0585581
"George Harrison"	0.0581802
"Lou Reed"	0.0581683
"Mario Andretti"	0.0572476
"Yankee Clipper"	0.057233
"Little Richard"	0.0570744
"Whitney Houston"	0.0569087
"N Sync"	0.0559509
Baerga	0.0556931
"Steve Jones"	0.0552434
Bono	0.0550939
"Jennifer Lopez"	0.0546653
"Peter Lynch"	0.0545055
Eminem	0.0544054
Shatner	0.0536155
"Alanis Morissette"	0.0535266
"Derek Harper"	0.0534602
"Kid Rock"	0.0534104
"Elton John"	0.0533284
Beck	0.0532121
Puente	0.0531661
"Mick Jagger"	0.053056
Easley	0.052186
Pele	0.0521378
Hendrix	0.0520744
Longo	0.052043
Cher	0.0520416
"Vin Scully"	0.0520184
"Old Trieste"	0.0518269
Renteria	0.051628
Testud	0.0515428
"Courtney Love"	0.0512127
"Anita Wachter"	0.0510174
"Terry Porter"	0.0510058
"Susie O'Neill"	0.050995
Alicea	0.0509211
"Puff Daddy"	0.0506484
"Diego Maradona"	0.050565
"American Beauty"	0.0505109
"Brian Jones"	0.0505023
Gustafsson	0.0504048
Tanaka	0.0503577
TLC	0.0503223
Rolen	0.0501791
"Jack Nicklaus"	0.0500837
"Mike Morgan"	0.049737
"Ray Ferraro"	0.049733
"Yao Ming"	0.0496324
Novak	0.0496225
Lobo	0.0493189
"Hidetoshi Nakata"	0.0489674
libero	0.0489415
trumpeter	0.0487087
Croshere	0.0485893
Lawton	0.0485678
"Joe Kleine"	0.0484836
maestro	0.0484312
"Jesse Orosco"	0.0482961
"Garry Galley"	0.0481988
Anthony	0.0481156
Dre	0.0481012
Tanui	0.0479087
"Joe DiMaggio"	0.047864
"Heike Drechsler"	0.0476476
Kazan	0.0476216
"flower child"	0.047529
"Bobby Charlton"	0.0475083
Berle	0.0472801
"Mike Vernon"	0.047079
"Tony Phillips"	0.0470278
Montoya	0.0469058
Vieri	0.0467766
"Quincy Jones"	0.0467523
"Lothar Matthaeus"	0.0467401
Romario	0.0466923
Seizinger	0.0465853
"Rod Laver"	0.0465491
"Roberto Baggio"	0.0464838
"Tony Bennett"	0.046426
Clapton	0.046138
"Dennis Conner"	0.0460945
"Bernadette Peters"	0.0459904
"Will Smith"	0.0459653
"two pitchers"	0.0459328
Franchitti	0.0458654
"Natalie Cole"	0.0457855
"Bobby Orr"	0.0454636
Babyface	0.0453683
Spears	0.0452025
Intimidator	0.045146
"Cliff Ronning"	0.0451107
"Francisco Labastida"	0.0450902
"Huang Xu"	0.0447926
Paulson	0.0447778
"Ozzie Guillen"	0.0447265
Djorkaeff	0.0447226
"Bret Saberhagen"	0.0446788
"Walter Payton"	0.0445966
Gump	0.0445083
"Tom Waits"	0.0444993
oldies	0.0444548
Murrell	0.0443553
Raitt	0.0443363
"John Wooden"	0.0441786
"Brandi Chastain"	0.0441614
"John Vanbiesbrouck"	0.0441256
"John Lee Hooker"	0.0440984
switch-hitter	0.0440889
"Ariel Sharon"	0.0439976
Brack	0.0439789
"Magic Johnson"	0.0439205
stylings	0.0438942
"Xu Wenli"	0.0438558
Waldner	0.043852
MANA	0.0438507
"Amy van Dyken"	0.043713
Maier	0.0436649
"Aretha Franklin"	0.043633
lifer	0.0435401
"Martin Luther King III"	0.0435169
"Ray Romano"	0.0434918
saxophonist	0.0431927
"Ted Williams"	0.0431807
"Dominique Wilkins"	0.0431739
"Kirk Douglas"	0.0431529
"Van Morrison"	0.0431462
Baba	0.0430788
"Emanuel Steward"	0.0430651
"Andreas Moeller"	0.0430399
"Chris Gaines"	0.0430005
Katsav	0.0428949
"Gunda Niemann-Stirnemann"	0.0428618
Butyrskaya	0.042585
"Simon Bolivar"	0.0425483
"Tom Watson"	0.042518
"Wayne Gretzky"	0.0424909
Shui-bian	0.0424863
"Walter Cronkite"	0.0424735
"Garth Brooks"	0.0424504
"Whoopi Goldberg"	0.0424308
"ball club"	0.0423724
"Andre Reed"	0.0423664
Baggio	0.0423557
"Steve DeBerg"	0.0422379
"Ho Chi Minh"	0.0422008
"Wilt Chamberlain"	0.0421081
"Erik Kramer"	0.0420835
))
("Carlos Valderrama" (desc 2477.79) (sims
"Leonel Alvarez"	0.206127
"Marco Etcheverry"	0.180169
"Hidetoshi Nakata"	0.176011
"Gheorghe Hagi"	0.170735
"Zvonimir Boban"	0.165469
"Mauricio Cienfuegos"	0.161377
"Robert Prosinecki"	0.15457
"Mauricio Ramos"	0.1536
"Claudio Reyna"	0.15064
"Dejan Stankovic"	0.148978
"Tab Ramos"	0.148794
Sissi	0.1487
Hagi	0.146214
"Dejan Savicevic"	0.145905
"Andreas Moeller"	0.140511
"Ariel Ortega"	0.134126
"Thomas Haessler"	0.130936
"Paul Ince"	0.130095
"Michael Laudrup"	0.129156
"Roy Lassiter"	0.126531
"Robert Jarni"	0.125204
"Steve McManaman"	0.124667
"Edgar Davids"	0.120473
"Cobi Jones"	0.115387
"Zinedine Zidane"	0.114796
"Eddie Pope"	0.112465
"Ben Olsen"	0.110287
"John Collins"	0.107457
"Emmanuel Petit"	0.106342
"Didier Deschamps"	0.104705
"Lothar Matthaeus"	0.104397
"Julie Foudy"	0.10204
Valderrama	0.100673
"Clarence Seedorf"	0.0998938
"Nwankwo Kanu"	0.0998126
Rivaldo	0.0987003
"Kristine Lilly"	0.0982402
"Hao Haidong"	0.0981252
"Clint Mathis"	0.0969628
"David Beckham"	0.0968899
"Paul Gascoigne"	0.0964796
"Sun Wen"	0.0963778
"Cesar Sampaio"	0.0948339
"Alexi Lalas"	0.094685
"Frankie Hejduk"	0.0939517
Denilson	0.0928587
"Raul Diaz Arce"	0.0924667
"Youri Djorkaeff"	0.0917264
"Cliff Ronning"	0.0902603
Juninho	0.0895823
"John Harkes"	0.0891776
"Diego Simeone"	0.0889541
"Warren Sapp"	0.0885559
"Hristo Stoichkov"	0.088228
"Faustino Asprilla"	0.0875511
"Eddie Lewis"	0.0875437
Zidane	0.0872358
"Khodadad Azizi"	0.0867724
"Fernando Hierro"	0.0866848
"Christian Karembeu"	0.0852366
"Patrick Vieira"	0.0847291
"Michelle Akers"	0.0828562
Jair	0.0820264
Dunga	0.0809937
"Luis Figo"	0.0805313
"Fan Zhiyi"	0.07998
"Paul Merson"	0.0792718
"Mario Stanic"	0.0782303
"Manny Fernandez"	0.0774416
"Phillip Cocu"	0.0773532
"Ali Daei"	0.0753148
"Robert Pires"	0.0731426
"Hu Weidong"	0.0729527
Hurtado	0.072475
"Roy Keane"	0.0718311
"Ronald de Boer"	0.0716548
"Dale Hunter"	0.0715465
"Luis Hernandez"	0.0712563
"Roberto Baggio"	0.0710437
"Dino Baggio"	0.0707262
"Yanic Perreault"	0.0705625
Welton	0.0701613
Bebeto	0.0701367
"Predrag Mijatovic"	0.0693265
"Scott Thornton"	0.0692727
Wynalda	0.0691626
"Harry Kewell"	0.068918
"Sherman Douglas"	0.0679746
Baggio	0.0676694
"Eric Wynalda"	0.0674634
"Luigi Di Biagio"	0.067354
Reyna	0.0662321
"Benoit Hogue"	0.0661039
Ranford	0.0660408
"Shannon MacMillan"	0.0659085
"Ray Ferraro"	0.0654427
"Paul Scholes"	0.0650966
"Rolando Arrojo"	0.0641482
"Wang Tao"	0.0630699
"Andy Williams"	0.0628781
Giovanni	0.0627186
Emerson	0.0626219
"Alexei Yashin"	0.0623995
"Guy Carbonneau"	0.0622171
"P.J Brown"	0.0620689
"Donald Audette"	0.061952
"Scott Mitchell"	0.0618609
"Gianfranco Zola"	0.0617903
"Chris Klein"	0.061778
"Ivan Zamorano"	0.0615283
"Yao Ming"	0.0612314
"Patrick Kluivert"	0.0607426
"Karim Abdul-Jabbar"	0.0607264
"Mike Burns"	0.0598581
"Eric Lindros"	0.0596036
"Ron Francis"	0.0595776
"Peter Bondra"	0.05949
Winn	0.0592259
"John Vanbiesbrouck"	0.0588829
Bergkamp	0.0587114
"Ziggy Palffy"	0.0586039
"Tony Hrkac"	0.058407
"Greg Vanney"	0.0578273
"Wendel Clark"	0.0577091
Daigle	0.0575263
"Jose Luis Chilavert"	0.0574425
"Ulf Kirsten"	0.0572798
"Steve Yzerman"	0.0571899
"Wilson Alvarez"	0.0569681
"Eric Murdock"	0.0564865
"Stan Collymore"	0.0564035
"Stephon Marbury"	0.0561537
Harkes	0.0561282
"Wang Zhizhi"	0.0561193
"Peter Forsberg"	0.0559517
"Ray Bourque"	0.0558561
"Paul Justin"	0.0557733
Leonardo	0.055767
"Ian Wright"	0.0556099
"Joe Nieuwendyk"	0.0555751
"Dwight Yorke"	0.0555495
"John Salley"	0.0554894
"Cynthia Cooper"	0.055481
"Alexei Kovalev"	0.0554211
"Joe Sakic"	0.0553006
"Sean Elliott"	0.0552961
"Quinton McCracken"	0.0552925
"Mike Sullivan"	0.0551099
"Jose Canseco"	0.0550495
Romario	0.0549697
Alvarez	0.0548909
Felipe	0.0547683
"Aaron Gavey"	0.0547495
"Shaun King"	0.0547478
Edmundo	0.054643
"Jaap Stam"	0.0546266
"Vincent Damphousse"	0.054613
Djorkaeff	0.0544033
"Robert Reichel"	0.0542902
midfielder	0.0540953
"Theo Fleury"	0.0538549
"Trent Dilfer"	0.0538238
Suker	0.0538001
"Simona Amanar"	0.0537756
"David Robinson"	0.0536743
"Tim Hardaway"	0.0535817
"Mia Hamm"	0.0535211
"Ryan Giggs"	0.0534449
"Merlene Ottey"	0.0533543
"Trace Armstrong"	0.0530675
"Dominique Wilkins"	0.0530066
Audette	0.0526354
Scholes	0.0525423
"Derek Harper"	0.0523938
"Brian Skrudland"	0.0523669
"Bubby Brister"	0.0523332
"David Trezeguet"	0.0522154
"Ken Daneyko"	0.052174
"Chris Chelios"	0.0519389
"Sheryl Swoopes"	0.0518612
Nedved	0.0515641
"Cindy Parlow"	0.0515367
"Craig Ludwig"	0.0512891
"Steve Trachsel"	0.0512758
Preki	0.0512236
"Kevin Willis"	0.0510861
"Paul Caligiuri"	0.0509082
Nakata	0.0508105
"Ronnie Lott"	0.0506254
Starks	0.0501891
"Ron Harper"	0.0501403
"Mike Keane"	0.0500831
"Dennis Bergkamp"	0.0500772
"Darrick Martin"	0.0498636
"Juergen Klinsmann"	0.0498434
"Ron Gant"	0.0498388
"Mark Grace"	0.0498105
GPU	0.0497005
Detmer	0.0496197
Chelios	0.0494086
))
("Carlos Westendorp" (desc 2819.25) (sims
"Carl Bildt"	0.286201
"Robert Gelbard"	0.220872
"Christopher Hill"	0.220733
"Charlene Barshefsky"	0.206632
"Richard C. Holbrooke"	0.204992
"Wolfgang Petritsch"	0.203037
"Dennis Ross"	0.188536
"Sergio Vieira de Mello"	0.180003
"Faisal Husseini"	0.163723
"Hans von Sponeck"	0.142253
"Bernard Kouchner"	0.13904
"Long Yongtu"	0.137048
"Adem Demaci"	0.135794
"Richard Holbrooke"	0.135206
"Nabil Shaath"	0.134345
"Lakhdar Brahimi"	0.131577
"Jeremy Greenstock"	0.123591
"Eisuke Sakakibara"	0.113276
"Vladislav Jovanovic"	0.113139
"Saeb Erekat"	0.110331
"Qin Huasun"	0.107728
"William Walker"	0.105797
"Julius Nyerere"	0.103005
"George Mitchell"	0.102815
"Alija Izetbegovic"	0.0978282
"Implementation Force"	0.0919866
"Wang Yingfan"	0.0897379
"Stuart Eizenstat"	0.0883425
Bildt	0.0880577
"Javier Solana"	0.0877772
"Sadako Ogata"	0.0845951
"Yuri Maslyukov"	0.0845656
"Abu Mazen"	0.0839314
"Barry McCaffrey"	0.0796485
"Shi Guangsheng"	0.0794704
"Ketumile Masire"	0.079468
Rahman	0.0792913
"Thomas Pickering"	0.0791349
Solana	0.078486
Westendorp	0.0784277
"Bill Richardson"	0.0780185
Jayakumar	0.0765787
"Mickey Kantor"	0.0765671
"Strobe Talbott"	0.0755567
"Dan Miller"	0.0753912
"Nancy Pelosi"	0.0750915
"Rolf Ekeus"	0.0746232
"Bernard Sanders"	0.0729748
"California Democrat"	0.0722342
"Secretary General Esmat Abdul-Meguid"	0.0721877
"John Conyers"	0.071853
"Stanley Fischer"	0.0702388
"Momcilo Krajisnik"	0.0695571
Bruton	0.0688227
"Charles Canady"	0.0686823
"Viktor Chernomyrdin"	0.0684836
Hevesi	0.0684685
"Wu Yi"	0.0682969
"Richard Butler"	0.0682084
"Richard Riley"	0.0679845
"Mike Martz"	0.0672693
"Ahmed Qureia"	0.06725
"Yasser Abed Rabbo"	0.0670288
"Radovan Karadzic"	0.066149
"David Dreier"	0.0656642
"Phan Van Khai"	0.0652031
"Jaswant Singh"	0.0648332
"Mahmoud Abbas"	0.064153
"Kamal Kharrazi"	0.0640851
"Amnuay Virawan"	0.0637567
Ahtisaari	0.0637282
"Salim Ahmed Salim"	0.0633334
"Wei Jianxing"	0.0628494
"Anson Chan"	0.0626235
"Barney Frank"	0.0623785
"Renato Ruggiero"	0.0620274
Aziz	0.0619298
"Jack Straw"	0.0612443
"William Perry"	0.0608915
"Li Zhaoxing"	0.0608442
"George Miller"	0.0607888
"John Fox"	0.0604898
"Anatoly Chubais"	0.0604121
"Fayez Tarawneh"	0.0603085
"Carolyn McCarthy"	0.0599883
"Muslim-Croat Federation"	0.059549
"Jim Hodges"	0.0594542
"Florida Republican"	0.0591739
Zou	0.0590225
"Ricardo Alarcon"	0.058638
"Ratko Mladic"	0.0584916
"Massachusetts Democrat"	0.0582549
Meguid	0.0581056
Talbott	0.0579527
"David Bar-Illan"	0.0577398
"Gary Kubiak"	0.0577365
Beye	0.0576321
"National Party Congress"	0.0576117
"Secretary General Boutros Boutros-Ghali"	0.057161
"Leon Brittan"	0.0569358
"George Tenet"	0.0569308
"Porter Goss"	0.0567735
"Lee Hsien Loong"	0.0566106
"deputy foreign minister"	0.0566001
"Yevgeny Primakov"	0.0565546
"Stabilization Force"	0.0563085
"Rich Brooks"	0.0560914
"Bashkim Fino"	0.0557446
"Nelson Mandela"	0.0556888
"Mikhail Kasyanov"	0.055686
"Victor Chernomyrdin"	0.05541
"Hubert Vedrine"	0.0552718
"Anthony Lake"	0.0551385
Holbrooke	0.0550047
"Seamus Mallon"	0.0549576
"Hu Jintao"	0.0549027
"Asa Hutchinson"	0.0547662
"Michael Heseltine"	0.054681
"Gene Sperling"	0.054626
Broek	0.0545799
"Bizima Karaha"	0.0545482
"Christopher Shays"	0.0544632
"Martin Meehan"	0.0539861
"Tim Fischer"	0.0539602
"Eighth NPC"	0.0539382
"Dave McGinnis"	0.0537723
Mkapa	0.0536423
"Joel Klein"	0.0536333
"Tom Davis"	0.0534927
educationist	0.0532829
"Chris Palmer"	0.0529422
Mandelson	0.0528463
"Lokendra Bahadur Chand"	0.0527113
"Nikola Poplasen"	0.0525017
"Xie Zhenhua"	0.0523549
"Bill Thomas"	0.0522594
Meehan	0.0522469
"Koichi Kato"	0.0522118
"Mary Robinson"	0.0521969
"Sher Bahadur Deuba"	0.0520097
"Necmettin Erbakan"	0.0518063
"Valery Pustovoitenko"	0.0517942
"Greg Ganske"	0.0514477
Lamberth	0.0514401
Zeng	0.0514174
"Yossi Beilin"	0.0511067
Nyerere	0.0507199
"vote counter"	0.0506354
"Tang Jiaxuan"	0.0505466
"Tom Campbell"	0.050326
Brahimi	0.0502945
Ikimi	0.0502836
Kostov	0.050239
Dehaene	0.0501153
"Charles E. Schumer"	0.0501062
"Joschka Fischer"	0.0499091
"Dave Campo"	0.0498587
"New York Democrat"	0.0497455
Herzegovina	0.0496772
"Ninth NPC"	0.0495453
"Christopher Cox"	0.0495049
"Jacques Rogge"	0.0494992
"Peter King"	0.0494917
Piot	0.0494125
McCaffrey	0.0489634
shah	0.0488896
"Gregory Craig"	0.0488593
"Mark Green"	0.0487313
"Abdullah Ahmad Badawi"	0.0486481
"Li Ruihuan"	0.0485527
"Jim Kolbe"	0.0484933
"Lamar Smith"	0.0484706
"Illinois Republican"	0.0484311
"Romano Prodi"	0.0483738
Axworthy	0.0483189
Mello	0.0482912
"John Boehner"	0.0482436
"Alan Keyes"	0.0482403
Rubin	0.0482107
"governor general"	0.048206
"Jim Bunning"	0.0479947
"Patrick Kennedy"	0.0479764
Tanjug	0.0479366
Chretien	0.0478556
"I.K Gujral"	0.0478142
"Jerrold Nadler"	0.0477237
"Mo Mowlam"	0.0477036
"Frederick Sumaye"	0.0476901
facilitator	0.0475868
"Martin Frost"	0.0474968
"Hashim Thaci"	0.0474739
"Georgia Republican"	0.0473456
Koskinen	0.047307
Mohamed	0.0472817
"Radu Vasile"	0.047006
"Dai Bingguo"	0.0469781
"Third Session"	0.0468859
Kinkel	0.0467395
"Bob Livingston"	0.0466748
"Brian Billick"	0.0466319
))
(Carlsbad (desc 3465.33) (sims
"Manhattan Beach"	0.244434
Linz	0.17963
"Indian Wells"	0.167967
Sunnyvale	0.166305
Filderstadt	0.157459
Halle	0.156417
Sausalito	0.155983
"Thousand Oaks"	0.152929
Basle	0.152714
"Westlake Village"	0.148295
"South San Francisco"	0.145926
Cupertino	0.144738
Emeryville	0.144364
Farmington	0.14281
Kitzbuehel	0.142063
Eastbourne	0.138742
Duesseldorf	0.136246
"La Jolla"	0.135573
Carmel	0.133603
"Culver City"	0.131116
"Santa Ana"	0.131074
Tarzana	0.127087
"Santa Rosa"	0.124836
BASEL	0.121785
Calabasas	0.120229
Brentwood	0.120148
"San Mateo"	0.119818
"Walnut Creek"	0.119709
"Hilton Head"	0.119258
"San Carlos"	0.11923
Hobart	0.118542
"Palm Springs"	0.117928
"Mission Viejo"	0.117509
Burlingame	0.11638
Oxnard	0.11524
Englewood	0.115189
"East Orange"	0.113728
Fremont	0.113224
Gelsenkirchen	0.113162
"SIERRA BLANCA"	0.111783
"San Rafael"	0.111095
"Pacific Palisades"	0.110614
Camarillo	0.110262
"Santa Clara"	0.110199
Dusseldorf	0.109573
"Fort Lee"	0.109241
"Marin County"	0.109152
PALERMO	0.108785
Brisbane	0.108685
"Simi Valley"	0.107654
"San Luis Obispo"	0.107375
"El Segundo"	0.105499
"Santa Cruz"	0.104644
Madras	0.103589
"Melbourne Park"	0.102762
"Redwood City"	0.101869
Ojai	0.101745
Lugano	0.101402
Ipoh	0.101221
"San Sebastian"	0.100166
LAKEWOOD	0.100113
Stuttgart	0.0998214
"Key Biscayne"	0.0997317
Essen	0.0996424
Petaluma	0.0995174
Torrance	0.0992608
Missoula	0.0990876
Reston	0.0983152
Morristown	0.0981733
"Woodland Hills"	0.0970049
Claremont	0.0965504
"Delray Beach"	0.0964425
Fresno	0.0963653
Eureka	0.0962614
Glendale	0.096226
Hanover	0.0951321
"Santa Monica"	0.0950217
riverside	0.0947657
"Round Rock"	0.0947255
Needham	0.0945569
Chamonix	0.0942071
Alameda	0.0938174
"Palo Alto"	0.0936862
"Mountain View"	0.0936026
Pecos	0.0935758
"Century City"	0.0931802
"Newport Beach"	0.0929399
Winston-Salem	0.0924398
Encino	0.0924159
"Lake Tahoe"	0.0919831
Hillsboro	0.0910407
Pasadena	0.0909616
"San Jose"	0.0903826
Redding	0.0894556
Leipzig	0.0887707
"West Orange"	0.0885598
"Riverside County"	0.0881145
Pomona	0.0879022
Rockville	0.0876637
"Studio City"	0.087586
"Palm Beach Gardens"	0.0867964
"Camp Pendleton"	0.086691
"Huntington Beach"	0.0866335
"Santa Barbara"	0.0861848
Pattaya	0.086122
Adelaide	0.0860263
Kensington	0.0858892
oceanside	0.0858799
"Pebble Beach"	0.0856929
"White Plains"	0.0856431
"Saratoga Springs"	0.0855405
Bakersfield	0.0855164
Danbury	0.0850959
Toulouse	0.0850342
"Quebec City"	0.0846156
Burbank	0.0840705
Pleasanton	0.0840163
Memphis	0.0837337
Rey	0.083611
Zurich	0.0831732
"Mill Valley"	0.0829981
Chiba	0.0829766
Utrecht	0.0829275
Gnjilane	0.0827847
Lucknow	0.0827153
Plano	0.0824828
Fairfax	0.0824232
Fukuoka	0.0820405
Irvine	0.0816683
Vallejo	0.0812841
"Menlo Park"	0.0812699
"Ho Chi Minh City"	0.0809986
"Oklahoma City"	0.0809663
"Long Beach"	0.0807259
Perth	0.0804753
"Silver Spring"	0.0802856
"San Pedro Sula"	0.0802041
Guadalajara	0.0801818
Bremen	0.080168
Strasbourg	0.0798117
Lawrenceville	0.0797536
Hamburg	0.0795886
Sedona	0.0793383
Modesto	0.0791908
Inglewood	0.0791833
Tashkent	0.0789773
Montclair	0.0789261
Provo	0.0788011
"Garden City"	0.0787565
MELBOURNE	0.0787225
Beaufort	0.0786719
Palmdale	0.0785417
Nagoya	0.078349
"Boynton Beach"	0.0781795
Wilmington	0.0778977
Naples	0.0778603
Clearwater	0.077595
"North Hollywood"	0.0775175
Birmingham	0.0774271
Bloomington	0.0773494
Osaka	0.0773126
Chatsworth	0.0772131
Asuncion	0.0770419
Braintree	0.0769818
Norcross	0.0769795
"New Haven"	0.0767833
Ensenada	0.0764347
"Philippine Stock Exchange"	0.0761426
"World University Games"	0.0760234
Vladikavkaz	0.0759808
Monrovia	0.0759289
Duluth	0.0759001
Langkawi	0.0758853
Falmouth	0.0756209
"St Petersburg"	0.0756146
"La Paz"	0.0754426
Hayward	0.075152
"Egyptian capital"	0.0750972
Greensboro	0.0750383
"Nagano Winter Olympics"	0.0749291
Alpharetta	0.0746785
Stamford	0.0745571
Antwerp	0.074225
ASHEVILLE	0.0740852
Herndon	0.0738333
"Union City"	0.0737124
Salisbury	0.0736164
"CHIANG MAI"	0.0734593
Auckland	0.07302
"Fort Lauderdale"	0.0727644
Rotterdam	0.072621
"Auburn Hills"	0.072344
"Granada Hills"	0.0723328
"San Marcos"	0.0723263
Chico	0.0723089
Utica	0.0722649
"Van Nuys"	0.0717797
Framingham	0.0714107
Trondheim	0.0713858
Greenville	0.0711828
))
(Carlsberg (desc 940.218) (sims
Anheuser-Busch	0.125953
Heineken	0.12161
Budweiser	0.101595
F.A	0.0995892
SAirGroup	0.0880975
ACB	0.0880733
Stroh	0.0839844
"Bud Light"	0.081623
Denel	0.0807019
Asahi	0.0794605
Coors	0.0789559
"Miller Lite"	0.0774082
SAA	0.0750609
Petrofina	0.0716902
Totalfina	0.0708762
Schering	0.0703697
"Michael Laudrup"	0.0684928
Guinness	0.0677248
Oktoberfest	0.067517
HKMA	0.0663387
Astra	0.066139
Ansett	0.0655149
draught	0.0629403
"Abbott Laboratories"	0.0623835
Mabetex	0.0622725
NTL	0.0622484
Autodesk	0.0613958
Hoechst	0.0594403
CSC	0.0594013
distributorship	0.0589613
Marconi	0.058756
wasabi	0.0585276
NORTHROP	0.058465
Brondby	0.0579858
SSB	0.0574844
"South African Airways"	0.0574487
Railtrack	0.0573429
"batting coach"	0.0566913
"Glaxo Wellcome"	0.0566597
AstraZeneca	0.0562523
Amgen	0.0551835
Honeywell	0.0549986
"Scott Karl"	0.0539239
"Pfizer Inc."	0.0534599
CAF	0.0534112
"Legend Group"	0.0533617
"Peter Schmeichel"	0.0533306
"Public Security Ministry"	0.0528225
"Wyeth-Ayerst Laboratories"	0.0526843
ICI	0.0525572
"Siemens AG"	0.0524305
"R.J Reynolds"	0.0523203
Keady	0.0522351
"Mark Loretta"	0.0521827
Agusta	0.051827
SDL	0.0512486
Scientific-Atlanta	0.0509168
"Levi Strauss"	0.0507374
"Dow Jones &AMP; Co."	0.0505171
HKTA	0.0504992
IAI	0.0504264
belching	0.0503709
"Bill Pulsipher"	0.0503285
"Pratt &AMP; Whitney"	0.0503023
Cabletron	0.0502587
"blue moon"	0.0502271
ExciteAtHome	0.0500292
Beretta	0.0499543
CNA	0.0498878
ATA	0.0498674
Telemundo	0.0498043
Arianespace	0.0496789
Bae	0.0495834
"Office Depot"	0.0495413
"Australian Cricket Board"	0.0493726
"Bank of Uganda"	0.0492809
Whitacre	0.0491075
Levi's	0.0490718
Elf-Aquitaine	0.0488613
"Brown &AMP; Williamson"	0.048722
AXA	0.0485503
Embraer	0.0484896
"one and two"	0.048457
UAM	0.0484181
"Chronicle Publishing"	0.0481241
"Fannie Mae"	0.0480382
Rhone-Poulenc	0.0478601
"James Barksdale"	0.0478589
"Evening Standard"	0.0476895
"Southern Co."	0.0474039
"Morgan Stanley Dean Witter &AMP; Co."	0.0473706
"Geoff Jenkins"	0.0473682
"Cable &AMP; Wireless"	0.0473447
DiCarlo	0.0471708
KPN	0.0471073
Nokia	0.0470997
suction	0.0470907
Electrolux	0.0468948
AHP	0.0467799
ENTERGY	0.0466201
Daimler-Benz	0.0462383
"two to three"	0.0460663
stingray	0.0457212
"softball game"	0.0457175
Hambrecht	0.0456829
"STEVE WOODARD"	0.0456554
"Yomiuri Shimbun"	0.0454934
Unilever	0.0454688
Genzyme	0.045444
VICKERS	0.045411
Ericsson	0.0448056
"Jason Bere"	0.0447728
magpie	0.0445046
"Sears, Roebuck &AMP; Co."	0.0444619
EMC	0.0444593
Ameritech	0.0444373
Melrose	0.0443968
Ciena	0.0443818
"Rich Becker"	0.0443024
GPU	0.0441978
"Sprint Corp."	0.044122
Enron	0.04409
Bestfoods	0.0439746
whistle-blowers	0.0437915
UBS	0.043748
"Tyler Houston"	0.0436273
"American Family Publishers"	0.0436019
"National Thoroughbred Racing Association"	0.0435837
CAA	0.0435611
Genentech	0.0434241
Philips	0.0433639
SGI	0.0431806
Occidental	0.0431595
"Paul Molitor"	0.0429997
Roche	0.0429527
"Gap Inc."	0.0427866
"U.S. Defense Department"	0.0426676
BASF	0.0423735
"Jamey Wright"	0.042368
Asda	0.0421632
BNFL	0.0420678
adidas	0.0418752
Stratus	0.0417142
EMI	0.0417122
CMGI	0.0416803
Incyte	0.04166
Informix	0.0416475
Tauzin	0.0415955
"Liz Claiborne"	0.041531
AMR	0.0414124
"SmithKline Beecham"	0.0413659
Geico	0.0412308
DoubleClick	0.0411741
ABB	0.0411257
"CBS SportsLine"	0.041035
NSA	0.041
CBK	0.0409638
Eni	0.0409597
Aegon	0.0409185
Allianz	0.0408614
REVLON	0.0407937
"Bob Wickman"	0.0407442
"Israeli Foreign Ministry"	0.0405501
Thyssen	0.0404366
"Hewlett-Packard Co."	0.0402738
"Livent Inc."	0.0402686
ITC	0.0402655
Benetton	0.0402598
"Adobe Systems"	0.0402579
CNET	0.0402545
Dasa	0.0401915
"De Beers"	0.0401805
"Volvo AB"	0.0401329
))
(Carlson (desc 2684.49) (sims
Sheehy	0.110576
McCormack	0.10988
Pearce	0.101207
Wiggins	0.0985359
Ono	0.095923
Kurtz	0.0946597
Sobel	0.0934018
Rivlin	0.0925478
Greenwald	0.0921241
Donohue	0.0905781
Lowry	0.0905674
Tuttle	0.0905668
Tobin	0.0903801
Larson	0.0897621
Myhrvold	0.0888217
Oliveira	0.088796
Cleary	0.0884353
Schmalensee	0.0869374
Quintero	0.0867496
LeBlanc	0.086468
Schell	0.0862048
Mucha	0.0856361
Carlin	0.0855889
Shapiro	0.0853872
Weil	0.0853367
Blum	0.0847792
Rowley	0.0847081
Grossman	0.0841136
Halberstam	0.0839058
Levine	0.0830456
Forrest	0.0830416
Gutman	0.0823097
Shearer	0.081798
Farber	0.0815157
Wilhelm	0.0813966
Dowd	0.0800375
Rowling	0.0800241
Maynard	0.0800048
Fiorina	0.0795428
Witt	0.0794364
Cline	0.0789651
Wilder	0.0781647
McKenzie	0.077972
Muller	0.0779083
Patten	0.0778888
Peters	0.0776055
Skinner	0.0771269
Morley	0.0770361
Henley	0.0769396
Chappell	0.076915
Jensen	0.0768229
Rutherford	0.0762263
Peretz	0.0762031
Stephenson	0.076065
Ruehe	0.0760526
Kahn	0.0759512
Cleese	0.075889
Rosenthal	0.0758767
Luyendyk	0.0758589
Neff	0.0758487
Harr	0.0758151
Tevanian	0.0756987
Herman	0.0755579
Sommer	0.0753132
Scruggs	0.0752458
Pruett	0.0750893
Zuckerman	0.075053
Hamlin	0.0748361
Britton	0.0747017
Markovic	0.0744986
"Patsy Ramsey"	0.0743977
Vogel	0.0741817
Weiner	0.0741006
Jamison	0.0739237
lauder	0.073809
Byrne	0.0738021
Jorgensen	0.073622
Abram	0.0735487
Osborne	0.073477
Marchand	0.0732676
Cramer	0.0732536
Ivey	0.0732418
Eubanks	0.0729839
Hess	0.0729728
Adler	0.0728704
Ingalls	0.0728364
Betts	0.0727597
Steinberg	0.0727371
Atkinson	0.0726815
Stacy	0.072533
"Laura Bush"	0.0725186
Azizah	0.0723241
Garza	0.0723156
Jaffe	0.0722997
Ashrawi	0.0721946
Wolff	0.0720531
Farrell	0.0720181
Healy	0.0719562
Edelstein	0.0719481
Spence	0.0719254
Lockwood	0.0718718
lacy	0.071869
Brazile	0.0714926
Garvey	0.0713805
Goldin	0.0712956
Gilman	0.0712393
O'Hara	0.0709404
Posner	0.0708377
Nicholson	0.0705151
Hendricks	0.0703679
Henson	0.0703396
Hickman	0.0703017
McIntyre	0.0701543
Hirsch	0.0701151
Bloch	0.0699612
Ciampi	0.0699519
Puzo	0.0699172
Menchu	0.0697123
McDonnell	0.0696984
Mustafa	0.0696563
Sheedy	0.0696028
HELLER	0.0695898
Fuentes	0.0695088
Hobson	0.0695041
Dion	0.0694851
Ziegler	0.0692293
Epstein	0.0691994
Purdy	0.0691411
Lowery	0.0689723
Kessler	0.0688952
nance	0.0688114
Swanson	0.0687661
Wasserstein	0.0686936
Hanley	0.0685732
Schiff	0.0684223
petty	0.0683887
McLaughlin	0.0683127
Molinari	0.0683009
Husseini	0.0681563
Carmichael	0.0681431
Slatkin	0.0681283
Garber	0.0679934
Hersh	0.0679835
Felton	0.0679363
Ballmer	0.067895
Pearson	0.0678167
Northup	0.0678145
Donnelly	0.0677787
McGuinness	0.0677563
Kopp	0.0676967
Stahl	0.0675935
McLachlan	0.06759
Briscoe	0.0675736
Kaufman	0.0673055
McConnell	0.0669581
Mehta	0.0666657
Jenkins	0.0665833
Mckee	0.0665684
Crocker	0.0665229
Magaziner	0.066416
Godfrey	0.0663998
Fieger	0.0662702
Tharp	0.0661549
noone	0.0660859
Zuma	0.0660836
Meehan	0.066073
BENSON	0.0660077
Maher	0.0659546
Rowan	0.065953
Klein	0.0658413
Moscoso	0.0656758
MacKay	0.0654806
FitzPatrick	0.0654359
Tilberis	0.0652872
Talebi	0.0652693
Grasso	0.065166
McCaffrey	0.0651297
Nolan	0.0651123
Boardman	0.0650223
Gonzales	0.064897
Kirkpatrick	0.064791
Margolis	0.0647133
Hartley	0.0646682
Castaneda	0.0646175
Harmon	0.0646079
Edson	0.0644652
Swenson	0.0644551
McCartney	0.0643768
Clements	0.0643741
Sheehan	0.0643538
Schwartz	0.0643354
Sahadi	0.064308
Silverman	0.0641848
Zheng	0.064166
Waxman	0.0639948
Shulman	0.0639828
Labonte	0.0639426
Edmondson	0.0639171
Bryson	0.0639145
Bragg	0.0638911
))
(Carlton (desc 2239.03) (sims
BSKyB	0.104301
"British Foreign Office"	0.0880402
Longo	0.0749098
Likhovtseva	0.0731004
Wada	0.0678129
Petrofina	0.0673108
Silas	0.0669092
Okada	0.0666634
Finkel	0.0663593
NHK	0.0652311
Joachim	0.0647858
"Arnaud Di Pasquale"	0.0631014
Stoneman	0.0626157
Colin	0.0611998
"Israeli Foreign Ministry"	0.0607339
Jager	0.0600399
Richards	0.0599498
Robby	0.0597672
"Deon Hemmings"	0.0595065
Lowry	0.0591084
"Younes El Aynaoui"	0.0584331
VICKERS	0.0581649
Hamzah	0.0581202
Pearson	0.0577027
Setzer	0.0572948
Iglesias	0.0571604
Venables	0.0570265
Anthony	0.0565926
"Albert Portas"	0.0562446
Talebi	0.055633
"Richey Reneberg"	0.0555464
"Woody Williams"	0.0554672
Auerbach	0.0551214
Paxon	0.0550956
ABS-CBN	0.0548933
Yount	0.0546582
Kent	0.0546511
"Todd Bodine"	0.0542532
Nevin	0.0541265
Rashid	0.0540517
"Tara Snyder"	0.0537178
Timlin	0.0537169
Hawn	0.0535877
Poole	0.0535699
Mustafa	0.053425
Hybl	0.0531798
"Pat Summerall"	0.0530537
Hickman	0.0526236
"Vin Scully"	0.0525322
Newcombe	0.0523728
McMichael	0.0523167
Haskins	0.0522437
"Justin Gimelstob"	0.0521084
"Jason Schmidt"	0.0520945
Knowles	0.0520569
Roussel	0.0516882
Monson	0.0516662
Moog	0.0516145
Goossen	0.0515092
Ruehe	0.0513473
CTV	0.051338
Zuckerman	0.0512198
Brody	0.0512146
ABSA	0.0512011
Arias	0.0511476
Andrei	0.0511349
"Irina Privalova"	0.0511278
D'Alessandro	0.0510257
"defense lawyers"	0.0508912
Chouinard	0.0508433
"MaliVai Washington"	0.0507625
Mulholland	0.0505828
Pudge	0.0504374
"Israeli Cabinet"	0.0503909
Fleischer	0.0503443
Lemieux	0.0502661
Hendricks	0.0500762
Justin	0.05006
Ferris	0.0500308
Rubenstein	0.0499712
Pickens	0.0499561
Perisho	0.0497535
Tanui	0.0497467
"Independent National Electoral Commission"	0.0497384
Bergeron	0.0496986
Troussier	0.0495785
Lucic	0.049538
prentice	0.0495338
"Karch Kiraly"	0.0494365
"Steve Carlton"	0.0494292
Rincon	0.0493285
"Media Partners"	0.0491032
FRA	0.0490487
"Brian Moehler"	0.0489086
Duvall	0.0488755
Gorman	0.048713
"Els Callens"	0.0485696
"Bausch &AMP; Lomb"	0.048569
ani	0.0484906
"Thomson CSF"	0.0484519
Nickerson	0.0484419
Gullit	0.0483646
craven	0.048272
Blackman	0.0482655
Dolan	0.048258
Bratton	0.0482428
Brett	0.0482231
Moser	0.0480917
Larson	0.0479752
Elf-Aquitaine	0.0478359
"Cable &AMP; Wireless"	0.0477087
Lerner	0.047694
Ribbeck	0.0476585
Difrancesco	0.0476056
Roland	0.0475814
Blanton	0.0474891
"U.S. Defense Department"	0.047429
"French Foreign Ministry"	0.0473501
Yoon	0.0472369
"Neville Godwin"	0.0471656
"Dennis Conner"	0.0470145
Rai	0.0469618
AFA	0.0468996
"John Burkett"	0.0468431
Jaffe	0.0467429
"U.S. Soccer Federation"	0.0467029
O'Malley	0.046684
UNOCAL	0.0466827
McGrath	0.0466739
"Canal Plus"	0.0466718
Ita	0.0466252
Gaston	0.0466097
Paulson	0.0465573
Teresi	0.0465489
"Larry Dierker"	0.046469
Milstein	0.0462711
Jakob	0.04627
kor	0.0460749
Loroupe	0.0459655
Rollins	0.0459389
FOMC	0.0459251
Ben-Ami	0.045906
Milo	0.0458394
"Vince Spadea"	0.0458223
"Byung-Hyun Kim"	0.0456941
Kasoulides	0.0456427
Starwood	0.0455937
Isringhausen	0.0455595
"Turkish Foreign Ministry"	0.0455449
Verniero	0.0455079
Ivan	0.0454671
"Francisco Cordova"	0.0454503
Howell	0.0454186
ENTERGY	0.0453546
"El Guerrouj"	0.0453359
Mckee	0.0453253
Sutter	0.0452967
Cooley	0.0452965
"Tatiana Panova"	0.0452865
"Xavier Malisse"	0.0452688
Woodruff	0.0452664
Gomes	0.0451909
NCEC	0.0451573
Herta	0.0451386
Morceli	0.0450856
Adelaide	0.0450756
"Olga Barabanschikova"	0.0450379
"Israeli Army"	0.0449644
Embree	0.0449338
Sprague	0.0448958
Banzer	0.0448956
mujahedeen	0.0447179
Malu	0.044694
"Amy van Dyken"	0.0446916
Odai	0.0446786
Levi	0.0446644
"Mahesh Bhupathi"	0.0446643
Joklik	0.0446074
"Adrian Voinea"	0.044529
"Brian Rose"	0.0445095
Granic	0.0444121
Hauser	0.0443716
"Reggie Jackson"	0.0443298
Weisman	0.0443287
Roski	0.0442915
"Real IRA"	0.0442904
Hanna	0.0442667
"Jeremy Wotherspoon"	0.0442646
Marlboro	0.044261
Berkowitz	0.0442287
"Tom Tupa"	0.0441957
Saunders	0.0441708
AHP	0.0441097
Cowan	0.0440853
Sobel	0.0440717
Rafael	0.0439833
Runyan	0.0439278
Passarella	0.0439115
Barksdale	0.0439076
Peugeot	0.0439013
))
("Carlton Fisk" (desc 4063.26) (sims
"Orlando Cepeda"	0.193281
"George Brett"	0.183394
Fisk	0.159837
"Robin Yount"	0.149908
"Johnny Bench"	0.149758
"Nolan Ryan"	0.138981
"Mike Schmidt"	0.138216
"Steve Garvey"	0.137499
"Dave Winfield"	0.133981
"Joe Morgan"	0.133396
"Pete Rose"	0.126443
"Hank Aaron"	0.103389
"Roy Campanella"	0.101145
"Wade Boggs"	0.10069
"Paul Molitor"	0.0995852
"Yogi Berra"	0.0980264
"Roberto Clemente"	0.0977517
"Dale Murphy"	0.0955263
"Eddie Perez"	0.0915715
"Mickey Mantle"	0.0895906
Lampkin	0.0867844
"Tony Perez"	0.0866848
"Brad Ausmus"	0.0852716
"Sandy Alomar"	0.0840173
"Reggie Jackson"	0.0838008
"Mike Scioscia"	0.0820879
"Jason Kendall"	0.0818643
Catalanotto	0.081517
Rolen	0.0811467
"Jason Varitek"	0.0803883
"Scott Hatteberg"	0.0783707
"Todd Pratt"	0.076132
"Sandy Koufax"	0.0749678
"Charles Johnson"	0.0746941
"Jim Leyritz"	0.0745345
"Stan Musial"	0.0743764
Cepeda	0.0732547
"Damian Miller"	0.0725437
"Barry Bonds"	0.072501
Varitek	0.0710813
Brogna	0.0710745
"Ted Williams"	0.070668
"Carl Yastrzemski"	0.0695397
"Eddie Taubensee"	0.0693241
"Bengie Molina"	0.0692738
"Kelly Stinnett"	0.0664537
"Joe Girardi"	0.0664429
Abreu	0.0662454
"Gregg Zaun"	0.0658123
"Darrin Fletcher"	0.0654842
"Ivan Rodriguez"	0.0653785
"Angel Pena"	0.0650706
"Brook Fordyce"	0.0645068
"Tom Lampkin"	0.0644549
"Jorge Posada"	0.0640848
"Lawrence Taylor"	0.0640815
"Rod Carew"	0.0637949
"Chris Widger"	0.0629275
Pratt	0.0626836
"Mark McGwire"	0.0626182
"Todd Hundley"	0.0625545
Alomar	0.0625148
"Don Baylor"	0.0618033
"Bob Feller"	0.061285
"Larry Bird"	0.0608857
Castilla	0.0607796
Canseco	0.0607512
"Roberto Alomar"	0.060733
"John Valentin"	0.0606096
Alou	0.0604112
Hatteberg	0.0602849
"Joe DiMaggio"	0.0602361
Aurilia	0.0601984
Alicea	0.0601517
"Lou Gehrig"	0.0596556
"Pudge Rodriguez"	0.0596114
"Mo Vaughn"	0.0595822
"Mitch Meluskey"	0.0589844
"Javy Lopez"	0.0589251
Berra	0.0589193
"Paul LoDuca"	0.0588476
"CARLOS HERNANDEZ"	0.0586172
"Rafael Palmeiro"	0.0581356
Brett	0.0577058
"Matt Walbeck"	0.0575147
"Tyler Houston"	0.0571443
Yount	0.056768
"Phil Nevin"	0.0567427
"Nomar Garciaparra"	0.0566211
"Dennis Eckersley"	0.0563851
"Mike Stanley"	0.0563408
"Will Clark"	0.0560645
Daubach	0.0560278
Lieberthal	0.0557563
"Mike Piazza"	0.0555709
"Paul Bako"	0.0554773
"Kirk Gibson"	0.0553569
"Tom Seaver"	0.0553436
"Tony Eusebio"	0.0552199
"Dan Wilson"	0.0551869
Biggio	0.0551116
Rodriguez	0.0551002
Leyritz	0.0548472
"Adrian Beltre"	0.0547285
"Juan Gonzalez"	0.0545499
Vizquel	0.0544904
"Darren Lewis"	0.054306
"Bob Gibson"	0.0542182
Glaus	0.0541026
"Willie Mays"	0.0540728
Bagwell	0.0538587
"Jim Thome"	0.0536063
Ripken	0.0535572
Molina	0.0534414
"Pedro Martinez"	0.0532515
Vaughn	0.0531636
Hundley	0.0531618
Lankford	0.053131
"Dante Bichette"	0.0528904
"Brian Johnson"	0.0528024
Caminiti	0.052551
Fullmer	0.052414
"Bill Haselman"	0.0520945
"Dusty Baker"	0.052038
knuckleballer	0.052032
"Bobby Estalella"	0.0519383
Galarraga	0.0517539
Karros	0.0516723
"Einar Diaz"	0.0515597
DeShields	0.0513827
Posada	0.0509093
"Whitey Ford"	0.0505486
"Bret Saberhagen"	0.0503894
Lofton	0.0501696
"Brent Mayne"	0.0498254
"Jose Canseco"	0.0495635
"Derek Jeter"	0.0495086
"Mike Sweeney"	0.0494674
"Edgardo Alfonzo"	0.0492903
Santangelo	0.048997
Grbac	0.0489521
"Ken Caminiti"	0.0487668
"Mike Lieberthal"	0.0486974
"Jose Offerman"	0.0484888
"Scott Rolen"	0.0484344
"Matt Lawton"	0.0482342
"Trot Nixon"	0.0481855
"Ken Griffey Jr."	0.0480141
"Carl Everett"	0.0479555
Fryman	0.047757
"Chipper Jones"	0.0476694
"Marvin Benard"	0.0476503
"Cliff Floyd"	0.0475909
"Dean Palmer"	0.0475811
"Ken Griffey"	0.0475451
"Ed Sprague"	0.0475359
"Tom Gordon"	0.0474174
Elster	0.0473489
Palmeiro	0.0473393
"Tim Salmon"	0.0473033
Cordero	0.0472804
Burnitz	0.0472015
"Robin Ventura"	0.0471449
"Jay Buhner"	0.047137
"Vinny Castilla"	0.0468647
Dunston	0.0468438
Renteria	0.0467801
Zeile	0.0465125
"Jackie Robinson"	0.0464323
Pudge	0.0463904
"Alex Rodriguez"	0.0462901
Whalen	0.0462291
"Brant Brown"	0.0460509
"Rich Aurilia"	0.0459665
"Chad Kreuter"	0.0459314
Gwynn	0.0458741
Spiers	0.0457243
"Rickey Henderson"	0.0456988
Nateq-Nouri	0.0456078
"Greg Myers"	0.0456014
"Matt Stairs"	0.0455617
"Orel Hershiser"	0.0454475
"Babe Ruth"	0.0454131
"Reggie Jefferson"	0.0453898
"Brian Daubach"	0.0452121
"Juan Marichal"	0.045196
"Lou Merloni"	0.0451199
McRae	0.0450574
Grudzielanek	0.0450311
"Gary Sheffield"	0.0449798
Hoch	0.0449456
"Jorge Fabregas"	0.0448786
"Brian McRae"	0.0447949
"Tim Raines"	0.0447859
"Roger Clemens"	0.0445229
Rankin	0.0445212
"Gary Gaetti"	0.0444207
Lopez	0.0443947
"Albert Belle"	0.0443428
Hollins	0.0442858
))
("Carly Simon" (desc 1480.38) (sims
"Billy Joel"	0.181075
"James Taylor"	0.172786
"Bonnie Raitt"	0.136963
"Emmylou Harris"	0.1236
"Van Morrison"	0.12162
"Shawn Colvin"	0.119541
"Eric Clapton"	0.114571
"Linda Ronstadt"	0.113966
"Joni Mitchell"	0.113896
"Aretha Franklin"	0.110641
"Dolly Parton"	0.108596
"Stevie Wonder"	0.106164
"Elvis Costello"	0.105978
"Elton John"	0.103159
"Jimmy Buffett"	0.101381
"Placido Domingo"	0.100597
"Phil Collins"	0.100154
"Peter Gabriel"	0.0983337
"Rod Stewart"	0.0959108
"Diana Krall"	0.0948282
"Erykah Badu"	0.0946062
"Johnny Cash"	0.092572
"Tina Turner"	0.0923238
"Melissa Etheridge"	0.0913633
"Reba McEntire"	0.0890772
"Marvin Gaye"	0.088767
"Tom Jones"	0.0886966
"Steely Dan"	0.0867186
"Paul Simon"	0.0866791
"Natalie Cole"	0.0840969
"Andrea Bocelli"	0.0838029
"Tony Bennett"	0.0821027
"LeAnn Rimes"	0.0820357
"Celine Dion"	0.0803705
"GLORIA ESTEFAN"	0.0770002
Cher	0.0762664
"Clint Black"	0.0760968
"Paul McCartney"	0.0742846
"Toni Braxton"	0.0741483
"Shania Twain"	0.0731902
"Andy Williams"	0.0730051
"Sheryl Crow"	0.0716725
"Harry Belafonte"	0.0709577
"Trisha Yearwood"	0.0698067
"Josephine Baker"	0.0682662
"Jessye Norman"	0.0680661
"David Byrne"	0.0678851
"Willie Nelson"	0.0676847
"Jo Dee Messina"	0.0671868
"Dwight Yoakam"	0.0667104
"George Strait"	0.0657594
"Lenny Kravitz"	0.0651547
"Don Henley"	0.0647433
"Robin Williams"	0.0646995
"Lou Reed"	0.0642289
"B.B King"	0.0639561
"Tom Waits"	0.063856
Liam	0.0633364
"Rob Thomas"	0.0625289
Billie	0.0624814
"Audra McDonald"	0.0617391
"Norman Mailer"	0.061383
Lang	0.0613133
"Mary J. Blige"	0.0604597
"Randy Newman"	0.0602008
"Bobby Brown"	0.0595353
"Kirk Franklin"	0.0591451
"Lyle Lovett"	0.0589416
Selena	0.0586285
Monkees	0.0585496
"Merle Haggard"	0.0584174
"Mick Jagger"	0.0582463
"Betty Comden"	0.057569
"George Jones"	0.0564378
"Loretta Lynn"	0.0560695
"Jon Bon Jovi"	0.0558309
Wynonna	0.0556503
"Waylon Jennings"	0.0555621
D'Angelo	0.0550463
"Faith Hill"	0.0548399
"Barbra Streisand"	0.0546975
"Vince Gill"	0.0545692
"Christina Aguilera"	0.0533784
"Marc Anthony"	0.0529388
"Michael Bolton"	0.0527818
"R. Kelly"	0.0523993
"Sarah McLachlan"	0.052032
"Tammy Wynette"	0.0513286
"John Mellencamp"	0.0512194
Bocelli	0.04975
"Alan Jackson"	0.0492655
"Vanessa Williams"	0.0487413
"Janis Joplin"	0.0484181
"Alanis Morissette"	0.0484173
Bjork	0.0483774
"George Michael"	0.0482805
"Bob Marley"	0.0481088
Bono	0.0480779
"Edward R. Murrow"	0.0480398
Yoakam	0.0480163
"Philip Roth"	0.0478783
"Brian Wilson"	0.0477736
Simone	0.0475564
"Chrissie Hynde"	0.0475151
"Mandy Patinkin"	0.0474228
"Luciano Pavarotti"	0.0472766
"Paul Robeson"	0.0463695
Heppner	0.04581
Kermit	0.0457307
"Nicole Brown Simpson"	0.0454781
"Janet Jackson"	0.0453753
"Phil Donahue"	0.0450737
"E.L Doctorow"	0.0442242
"Renee Fleming"	0.0440158
"David Cassidy"	0.0439256
"Jimi Hendrix"	0.0435756
"Burt Bacharach"	0.043035
"Tim McGraw"	0.042587
"Wyclef Jean"	0.0421686
"Patti Smith"	0.0420204
"Foxy Brown"	0.0411742
"Tom Petty"	0.0411629
"Joan Baez"	0.0406774
))
(Carlyle (desc 1427.89) (sims
Waldorf-Astoria	0.0693191
"Waffle House"	0.0659903
"Plaza Hotel"	0.0653149
Sheraton	0.0595099
Ritz-Carlton	0.0585948
"Jane Austen"	0.0564187
Sartre	0.0535969
"War Chant"	0.0527896
"Hyatt Regency"	0.0527604
Tevanian	0.051467
Starwood	0.051434
"Edith Wharton"	0.0512697
Masire	0.0505309
MAMET	0.0499706
Chekhov	0.049857
Beckenbauer	0.0492271
Maag	0.0489386
"Columbus Circle"	0.048396
X-@@	0.0476653
"Seasons Hotel"	0.0475126
ritz	0.0472372
Bartoli	0.0471686
"El Hage"	0.046994
Ibsen	0.0463991
"German language"	0.0462832
"a la carte"	0.0457371
Marineau	0.045568
"Big West"	0.0452169
"Charles Dickens"	0.0451076
"Christopher Reeve"	0.0450475
"Krishna Prasad Bhattarai"	0.0449867
Eszterhas	0.0447343
Metcalf	0.0446321
Cortines	0.0444424
Pustovoitenko	0.0443677
Moratinos	0.0441999
Smits	0.0440884
Sim	0.044079
Diggs	0.0439942
Mayflower	0.0439572
Hatfield	0.043864
"Mark Bryant"	0.0432016
Hyatt	0.042663
Lafleur	0.0425772
Hollins	0.0424556
"Waldorf-Astoria Hotel"	0.042449
Granic	0.0423199
whomever	0.0422091
Hilton	0.0421983
"Enron Corp."	0.0421944
Mackenzie	0.042141
SOE	0.0419058
Opry	0.0419024
Espinosa	0.0418528
Salinger	0.0418515
"T.S Eliot"	0.0418466
Wetherell	0.0418367
"two @@@@"	0.0418079
Buffett	0.0417071
"Chris Claiborne"	0.0416049
"Princess Anne"	0.0415864
McCabe	0.0412773
"more than seven"	0.041211
Batouty	0.0411166
Piccard	0.0409959
scattershot	0.0407492
go-slow	0.040453
Westin	0.0403737
"Noel Coward"	0.040144
Capel	0.0400982
))
(carmaker (desc 7096.04) (sims
"car maker"	0.352982
automaker	0.350863
"auto maker"	0.255327
"car manufacturer"	0.24722
"auto company"	0.191248
steelmaker	0.144975
shipbuilder	0.141772
carmakers	0.139689
"life insurer"	0.136581
toymaker	0.130716
automakers	0.123403
"Volkswagen AG"	0.117769
"tire maker"	0.115365
"electronics company"	0.106772
"department store chain"	0.104096
"toy retailer"	0.102482
drugmaker	0.100643
"defense contractor"	0.0968495
"Long-Term Credit Bank"	0.0964616
issuer	0.0942605
"semiconductor maker"	0.091509
"futures exchange"	0.0904427
"bank holding company"	0.0902162
"Nissan Motor Co."	0.090073
Volkswagen	0.0897087
"auto manufacturer"	0.0882695
"steel company"	0.0874219
"software maker"	0.086334
"banking company"	0.0860733
conglomerate	0.084718
"brokerage house"	0.084648
"food company"	0.0835634
"telephone company"	0.0817693
chipmaker	0.0806002
bottler	0.0800557
"Nippon Credit Bank"	0.0768999
"Daewoo Group"	0.0763804
"Ford Motor Company"	0.0757215
"toy maker"	0.074434
"telephone operator"	0.0743697
"cable operator"	0.0734902
"phone company"	0.0733677
"retail chain"	0.0727355
"trading partner"	0.0724634
"oil producer"	0.0711082
"Hyundai Group"	0.0708206
brewery	0.0707213
insurer	0.0704077
"trucking company"	0.0702037
"power company"	0.0700561
"Siemens AG"	0.0697025
"Mobil Corp."	0.0695146
Daewoo	0.0694726
Mannesmann	0.0677308
"newspaper publisher"	0.0676202
"Justice Ministry"	0.0674644
"Northeast Utilities"	0.0671554
"commercial bank"	0.0665559
"finance company"	0.0665378
"Bankers Trust Corp."	0.0660282
"Chrysler Corp."	0.065838
"investment trust"	0.0656618
DaimlerChrysler	0.065335
chaebol	0.0649691
brokerage	0.0646431
"shipping company"	0.0640583
Kia	0.0638236
refiner	0.0634935
"holding company"	0.063286
"Monsanto Co."	0.0629534
"General Electric Co."	0.0626847
"Atlantic Richfield Co."	0.0623755
Hyundai	0.0622835
PictureTel	0.0618798
Chrysler	0.0618772
BMW	0.0618579
exporter	0.0618093
"Mannesmann AG"	0.0616865
"National Sports Council"	0.0615517
"Times Mirror Co."	0.0608283
"NEC Corp."	0.0606804
"Ford Motor Co."	0.0606663
"Tele-Communications Inc."	0.0605431
"publishing company"	0.0603239
"brokerage firm"	0.0602509
"Ford Motor"	0.0600082
polluter	0.0597257
"financial institution"	0.0593776
auto	0.0592398
"gas company"	0.0590975
"Bank of Japan Ltd."	0.0587558
"Toyota Motor Corp."	0.0586473
"Yamaichi Securities Co."	0.0585308
"Defense Agency"	0.0584851
"Orange PLC"	0.0584541
retailer	0.0584297
"home builder"	0.0584252
Audi	0.0583629
Petrofina	0.0581858
Lufthansa	0.0580885
"Daimlerchrysler AG"	0.0580167
"savings bank"	0.0580016
"Hongkong Telecom"	0.0579843
"Ministry of Trade and Industry"	0.0577136
"insurance company"	0.0577086
"stock exchange"	0.0577026
third-largest	0.0576401
"copper mine"	0.0573985
"CBS Corp."	0.0573807
Orangina	0.0573786
"General Motors"	0.0567798
Toyota	0.0567698
"building society"	0.056744
"Health and Welfare Ministry"	0.0565373
Siemens	0.0562595
"drug maker"	0.05616
"Learning Co."	0.0559752
Renault	0.055784
"GTE Corp."	0.0551469
"Sprint Corp."	0.0551409
"Thomson Multimedia"	0.0550372
"Protestant denomination"	0.0548998
"insurance firm"	0.0547726
"bus company"	0.0547285
"Credit Lyonnais"	0.0546935
"computer giant"	0.054682
"aerospace giant"	0.0545141
"mining company"	0.0543114
"minority stake"	0.0541185
"Xetra Dax"	0.0540566
"GE Capital"	0.0540454
importer	0.0539806
Peugeot	0.05383
"Union Carbide"	0.0536941
NTT	0.0534351
Consul-General	0.0533991
"savings and loan"	0.0533945
"manufacturing business"	0.053333
multinationals	0.0530897
chaebols	0.0530297
"U.S. Soccer Federation"	0.0527175
ISP	0.0526258
"Deutsche Bank"	0.0525128
"electric company"	0.0524828
Fiat	0.0523637
"accounting firm"	0.0521843
lender	0.0521164
"Nissan Motor"	0.051944
Rolls-Royce	0.0519255
"insurance broker"	0.0517711
Daimler-Benz	0.0517091
"transportation company"	0.0516274
"Thomson CSF"	0.051462
"television network"	0.0512602
Volvo	0.0511663
"British government"	0.0510477
"Sony Corp."	0.0510178
Nissan	0.0510016
Scania	0.0509969
shipyard	0.0509243
thrift	0.0509201
nobleman	0.0508973
"aircraft order"	0.0508949
"Computer Associates"	0.0508839
"National Grid"	0.0507908
"TV network"	0.0506939
VW	0.0506862
Thyssen	0.0505628
"automobile industry"	0.0504952
"Deutsche Bank AG"	0.0504442
"Indonesian Armed Forces"	0.050438
"Free Democratic Party"	0.0503683
"banking industry"	0.0503386
"financial center"	0.0502437
aerospace	0.0500903
hypermarket	0.049968
"Mattel Inc."	0.0496756
emitter	0.0496465
railroad	0.049598
"AMR Corp."	0.0495753
"merchant bank"	0.0494589
"social contract"	0.0493679
ABB	0.0493321
"Atlantic Richfield"	0.04933
"Wal-Mart Stores Inc."	0.0492936
bookseller	0.0491357
"business organization"	0.0488692
"Cendant Corp."	0.048851
BankAmerica	0.0488183
DAX	0.0488054
Mitsubishi	0.0487883
Delphi	0.048782
"Christian Democratic Union"	0.0486928
"current account"	0.048605
Bertelsmann	0.0485613
"ad agency"	0.0485333
"film industry"	0.0484843
Honeywell	0.0483093
"BankAmerica Corp."	0.0483013
drugmakers	0.0481013
))
(carmakers (desc 3067.97) (sims
"car maker"	0.217728
steelmaker	0.198954
automakers	0.186186
"car manufacturer"	0.177076
"auto maker"	0.176267
"semiconductor maker"	0.175046
shipbuilder	0.174872
"auto company"	0.167537
carmaker	0.139689
"electronics company"	0.131042
"auto manufacturer"	0.123076
chipmakers	0.120572
"steel company"	0.120424
"shipping company"	0.113814
"department store chain"	0.112867
transnationals	0.112604
"futures exchange"	0.109204
metropolises	0.107958
"brokerage house"	0.107919
"drug maker"	0.104134
automaker	0.1025
refiner	0.102099
issuers	0.101766
"Volkswagen AG"	0.100373
multinationals	0.098201
chaebols	0.0973552
"Toyota Motor Corp."	0.0969521
"electric company"	0.0965184
consortia	0.0955645
"tire maker"	0.0950469
chaebol	0.0941621
"defense contractor"	0.0924714
"food company"	0.091793
"cable operator"	0.0912039
"life insurer"	0.0904364
meatpackers	0.0898066
resellers	0.0893452
"aerospace giant"	0.0890884
"insurance firm"	0.0885578
toymaker	0.0876735
statesmen	0.0872806
"toy maker"	0.0869825
varietals	0.084059
homebuilder	0.0832799
bottlers	0.08303
"investment house"	0.082813
"retail chain"	0.0826075
"financial institution"	0.0805326
"phone company"	0.0805256
"computer giant"	0.0804499
"trucking company"	0.0804078
vote-getters	0.0803309
"oil producer"	0.079761
"Special Economic Zones"	0.0795248
Volkswagen	0.0790853
ISPs	0.0783593
insurer	0.0782557
"toy retailer"	0.0781821
"software maker"	0.0781128
"New York Democrats"	0.0779759
"mining company"	0.0775661
"ballet company"	0.0767811
"Mercedes Benz"	0.0767255
"business organization"	0.0767156
QBs	0.0760394
drugmaker	0.0756429
"TV network"	0.0754715
"Baby Bells"	0.0753377
"credit bureau"	0.0750582
importer	0.0747029
"home builder"	0.0746934
conglomerate	0.0743747
"New York Republicans"	0.0743142
brewery	0.0743087
e-tailers	0.0742416
"Daimlerchrysler AG"	0.0732825
drugmakers	0.0731982
exporter	0.0727223
VW	0.072147
"financial organization"	0.0719862
policymakers	0.0712499
"commercial bank"	0.0711443
"Medicare HMOs"	0.0709529
Hyundai	0.0709527
"opera company"	0.0708553
"Hollywood studio"	0.0704431
Mitsubishi	0.070363
BMW	0.0703051
businesswomen	0.0703008
Siemens	0.0702627
"investment trust"	0.0701737
"labor union"	0.0693863
tacklers	0.0693071
"Russian bank"	0.0690201
"Chrysler Corp."	0.0689553
winemaker	0.0688383
Chancellor-elect	0.0684768
"Ford Motor Company"	0.0682989
"No. @s"	0.0679109
grower	0.0678705
Toyota	0.0677729
"business executive"	0.0674374
DaimlerChrysler	0.0673812
"Siemens AG"	0.0672358
Thyssen	0.0672225
highflier	0.0670203
shipyard	0.0668382
"Hyundai Group"	0.0668269
Banks	0.0667935
Honda	0.0666792
"equity market"	0.0666343
"trading partner"	0.0664584
"corporate investor"	0.0664096
"banking industry"	0.0662279
"publishing house"	0.0661636
"Nissan Motor Co."	0.0661118
SEZs	0.0661092
crewmembers	0.0659644
"business leader"	0.0658377
"Protestant denomination"	0.0658012
"market average"	0.0657782
"Mitsubishi Motors"	0.0654416
Daimler-Chrysler	0.0654307
near-misses	0.0654027
"chain store"	0.0653434
"insurance company"	0.0653076
"Sears, Roebuck &AMP; Co."	0.0652634
"British Opens"	0.0652519
"building society"	0.0651617
bookseller	0.0651217
Mercedes-Benz	0.064971
"travel agency"	0.0649294
assembler	0.0648369
"industrial enterprise"	0.0648225
"financial center"	0.0646127
"telephone company"	0.0645456
grocer	0.0644254
shipper	0.064421
"military attache"	0.0643749
Industrialist	0.064354
"finance company"	0.0643238
polluters	0.0639879
"brokerage firm"	0.0639869
Mazda	0.0639016
skiiers	0.0637813
Hitachi	0.0635683
goaltenders	0.063399
"General Motors Corp."	0.0632335
"advertising agency"	0.0632093
Airlines	0.0631145
"Ford Motor Co."	0.0630253
distributor	0.0629914
Peugeot	0.0628621
batsmen	0.062793
"insurance market"	0.0626634
"trade unionist"	0.0626182
"accounting firm"	0.0625517
Concordes	0.0624504
Renault	0.062419
Stealers	0.062386
Electrolux	0.0623781
beekeeper	0.0622298
Daewoo	0.0621736
brokerage	0.061953
Porsche	0.0619469
aerospace	0.0612104
"tax change"	0.0612097
Fishermen	0.0608382
major-leaguers	0.0606559
dramatist	0.0606259
firsts	0.0605172
quarterfinalists	0.0604161
"business line"	0.0602608
"trade union"	0.0601626
"power company"	0.0600388
Audi	0.0599975
"NEC Corp."	0.059826
"market maker"	0.0597964
"Scandinavian country"	0.0596389
"credit union"	0.05962
Picassos	0.0595893
businesspeople	0.0594145
"agenda item"	0.0593398
internationals	0.0591915
Schlumberger	0.0591719
wholesaler	0.0591676
soliders	0.0590821
infantrymen	0.0589731
"medical institution"	0.0589149
Consul-General	0.0588706
polluter	0.0588394
"business community"	0.058767
"publishing company"	0.0587501
phenoms	0.0586471
nonprofits	0.0585691
"automobile industry"	0.0585099
"business interest"	0.0584141
holidaymaker	0.0583447
"Health and Welfare Ministry"	0.0582263
"television network"	0.0582139
))
(Carmel (desc 3788.1) (sims
"Westlake Village"	0.146509
Englewood	0.141991
Burlingame	0.136286
Carlsbad	0.133603
Sausalito	0.133587
"Culver City"	0.133459
"Thousand Oaks"	0.132826
Encino	0.13163
LAKEWOOD	0.128275
"South San Francisco"	0.126836
Tarrytown	0.124325
Emeryville	0.123887
"Woodland Hills"	0.123324
"San Luis Obispo"	0.121872
"Pacific Palisades"	0.119999
Brentwood	0.118489
"Garden City"	0.118132
"Mission Viejo"	0.117749
Pelham	0.11692
"Huntington Beach"	0.116393
Cupertino	0.116132
"Fort Wayne"	0.114455
Reston	0.113363
"Marin County"	0.11216
"Walnut Creek"	0.110782
"Saratoga Springs"	0.110569
"El Segundo"	0.11055
Sunnyvale	0.109686
Needham	0.108749
Alameda	0.10852
Chappaqua	0.108315
"San Mateo"	0.107802
"Mill Valley"	0.107741
"Santa Rosa"	0.10716
"Santa Monica"	0.106859
"La Jolla"	0.106758
Tarzana	0.106009
Calabasas	0.105915
Reseda	0.105101
"Newport Beach"	0.104727
"East Orange"	0.104382
"New Rochelle"	0.104223
Montclair	0.104036
"New Canaan"	0.102571
Chatsworth	0.101953
Eureka	0.10144
"Fort Lee"	0.100214
"Palm Beach Gardens"	0.0989143
Claremont	0.0983558
"Simi Valley"	0.0974266
Evansville	0.0972734
Hempstead	0.0969159
"Santa Barbara"	0.0969
oceanside	0.0968491
Lafayette	0.0965335
"Santa Ana"	0.0964366
Stamford	0.0962132
Glendale	0.0960101
"Menlo Park"	0.0960087
Peekskill	0.0959604
"White Plains"	0.0958562
Hillsboro	0.0949825
Riverdale	0.0942352
Farmington	0.0939397
"Mountain View"	0.0938976
"Van Nuys"	0.0938313
"Manhattan Beach"	0.0931733
Westport	0.093077
Ojai	0.0926193
Evanston	0.0925171
Catskill	0.0923825
"Cherry Hill"	0.0920437
Fairfax	0.0915784
Somerville	0.0914752
Scarsdale	0.0909932
riverside	0.0907109
Bridgehampton	0.0900316
Palmdale	0.0895494
"Redwood City"	0.0894284
"Union City"	0.0892334
Rockville	0.0891953
Greenwich	0.0888175
Oxnard	0.0883062
"Century City"	0.0878026
"Great Neck"	0.087459
"Silver Spring"	0.0873535
Fresno	0.0871413
Drenica	0.0869613
Alpharetta	0.0862093
Utica	0.0859391
Torrance	0.085771
Belacevac	0.0855938
Napa	0.0855383
Morristown	0.0852856
"San Rafael"	0.0852427
Ridgewood	0.0852213
Watertown	0.0852207
"Round Rock"	0.0851897
Cicero	0.0850311
MINEOLA	0.0848858
Youngstown	0.0847105
Plattsburgh	0.0843581
"Sonoma County"	0.0843247
Bethesda	0.0842977
"Palo Alto"	0.0841571
"Studio City"	0.0840657
Burbank	0.0840649
Bloomington	0.0835309
"South Bend"	0.0834713
"San Fernando"	0.0834207
Redding	0.0832953
Braintree	0.0828761
Malibu	0.0825319
Decani	0.082361
Huntington	0.0822971
Nago	0.0818426
Westlake	0.0816864
Pasadena	0.0815035
"Ciudad Juarez"	0.0811755
Rey	0.0807066
"Abu Dis"	0.0803674
Bedford	0.0803146
Folsom	0.0803109
Kensington	0.0801735
"Boynton Beach"	0.0800914
Hialeah	0.0800679
Poughkeepsie	0.0798297
Naperville	0.0798091
"Paradise Valley"	0.0797879
"Sherman Oaks"	0.0795899
Dunwoody	0.0794448
Framingham	0.0793374
Amherst	0.0790423
Princeville	0.0788741
"Quezon City"	0.0788665
Irvine	0.0787048
Petaluma	0.0785874
Weston	0.078553
bethel	0.0783426
Pomona	0.0781216
Missoula	0.0780122
"East Hampton"	0.0778295
McLean	0.0777488
"Santa Clara"	0.0777213
Bloomfield	0.0777099
Fairfield	0.0773668
Posoltega	0.0772578
Greenville	0.0770979
Waltham	0.0770753
"San Carlos"	0.0767783
"Chapel Hill"	0.0760139
"Santa Clarita"	0.0754848
Norwalk	0.0754241
Monterey	0.0752684
"Santa Fe"	0.0752617
Yonkers	0.0752096
Darien	0.0752016
Woodbridge	0.0749843
Salinas	0.07436
"North Hollywood"	0.0743405
ARCADIA	0.0742482
"Westchester County"	0.0740306
Atherton	0.0740206
Warwick	0.0739267
"Granada Hills"	0.0736756
"San Bernardino"	0.0735407
"San Juan"	0.0735225
Medford	0.0734151
"Mount Vernon"	0.0733202
Fayetteville	0.0732732
Ensenada	0.0731903
"Lake Tahoe"	0.0731264
Woodside	0.0730849
Urosevac	0.0729974
"Orange County"	0.072957
Camarillo	0.072939
Ithaca	0.072789
Bangor	0.0726444
Chatham	0.0724771
"Overland Park"	0.0724613
Fremont	0.0723639
Clearwater	0.0723218
"Palm Springs"	0.0721892
"Fort Lauderdale"	0.0720215
Duluth	0.0718785
Wellesley	0.0716341
Irvington	0.0713145
Jericho	0.0711379
Peoria	0.0709118
Concord	0.0707769
Danville	0.0706762
Sonoma	0.0705693
Juarez	0.0705481
Scottsdale	0.0705448
Surrey	0.0705066
Valparaiso	0.0704522
"Bel Air"	0.070379
Schenectady	0.0702657
Plano	0.0702145
Bridgeport	0.0699738
))
(Carmen (desc 8829.06) (sims
Turandot	0.119602
Tosca	0.100082
Otello	0.0986782
Aida	0.0889823
"LA BOHEME"	0.0875582
Rigoletto	0.0872689
Buldon	0.0858355
este	0.0816611
"La Traviata"	0.0811379
Porgy	0.0745221
Norma	0.0739486
"Peony Pavilion"	0.0734591
"Don Giovanni"	0.0712284
"Don Quixote"	0.0672554
"Swan Lake"	0.0668776
Nutcracker	0.0667468
Lois	0.0656644
Rey	0.0653299
"Azizah Ismail"	0.0651044
Dorothy	0.0648526
CANCUN	0.0647685
Isolde	0.064151
Cindy	0.0600794
Denise	0.0586546
opera	0.0575461
Giselle	0.0573724
Beatrice	0.057356
Talipao	0.0573478
Evelyn	0.0565666
Stephanie	0.0557565
Jessica	0.0557215
Dolores	0.0555733
Norte	0.0555672
Eileen	0.0555384
del	0.055416
Plata	0.0551403
Salome	0.0551308
Lynne	0.0551215
Basilan	0.0548268
Elena	0.0548154
Faust	0.0547107
Lydia	0.0546401
Carol	0.0542083
Julie	0.053986
Peggy	0.0539689
Hadassah	0.0539599
Susannah	0.0539012
Lisa	0.0538957
Diane	0.0536391
Tristan	0.0535032
Vera	0.0529079
Kristin	0.0525887
Suzanne	0.052448
Brenda	0.0521769
Macbeth	0.0517577
Laura	0.0513663
Judy	0.0506323
"Sweeney Todd"	0.0503101
Maria	0.0499739
Beverly	0.0497994
Barbara	0.0496029
Uvira	0.0495753
Carolyn	0.0495449
Shirley	0.0494709
Alice	0.0494439
Terri	0.0494425
Valerie	0.0493261
Theresa	0.0492695
Christine	0.0491723
Winnie	0.049166
Batticaloa	0.0491282
Acapulco	0.0490852
"sleeping beauty"	0.0487808
Mimi	0.048769
Marianne	0.0487138
Kathy	0.048494
Elektra	0.0484867
Yarmila	0.0483597
Othello	0.0483473
Michele	0.0482704
Martha	0.0480504
Annie	0.0479936
Edith	0.0477774
Emily	0.0477539
Patricia	0.0473768
Tracey	0.0472955
"Christmas carol"	0.0472887
Juanita	0.0472878
Kismayu	0.0469121
Irina	0.0468631
Marlene	0.0468398
Romeo	0.0460932
Josephine	0.0460797
Doris	0.0459389
Jennifer	0.0457669
"Amazing Grace"	0.0454672
Debbie	0.0453781
Amy	0.0452265
JoAnne	0.0451232
Sara	0.0450975
Mona	0.0450349
Joan	0.0449672
Susan	0.0447218
"King Lear"	0.0447059
Rachel	0.0446493
Electra	0.044471
Anne	0.0444583
Mankulam	0.0443079
Rosario	0.0442161
Donna	0.044173
gloria	0.0441457
Louise	0.043886
Medea	0.0438762
Maureen	0.0435455
alicia	0.0435437
Firebird	0.043447
Betty	0.0433638
Ensenada	0.0432693
Toni	0.0429416
Sochi	0.0429072
ANN	0.0428891
Christina	0.0428461
"Tipper Gore"	0.0428025
Jeanne	0.0427495
Erin	0.0426486
Sarah	0.0425512
Cathy	0.0424935
"Graca Machel"	0.0424417
Cotabato	0.0424308
Elaine	0.0423052
Camille	0.0422398
Jacqueline	0.0421636
Falstaff	0.0421191
Kay	0.0420457
anna	0.0419938
Angela	0.0419802
Melanie	0.0419415
Juarez	0.0418968
Marcia	0.0418816
Rita	0.0418793
Lucia	0.0417459
Karen	0.0416315
Taba	0.0416237
Sonia	0.0415991
Jill	0.0415531
Liz	0.0415258
"Queen Noor"	0.0415022
Janet	0.0414816
"Iceman Cometh"	0.0414684
Meredith	0.0414544
"Ciudad Juarez"	0.0413944
Tipper	0.0413131
Laurie	0.0412271
colleen	0.0410341
Godot	0.0409857
Kathleen	0.0409
"Winnie Madikizela-Mandela"	0.0408109
Moshi	0.0407627
Marilyn	0.040502
tango	0.0404994
Aria	0.0403963
Bengkulu	0.0403005
Linda	0.0402373
patsy	0.0401205
Dora	0.0400116
))
("Carmen Electra" (desc 2130.44) (sims
"Vanessa Williams"	0.137335
"Graca Machel"	0.131924
"Azizah Ismail"	0.121053
"Jane Fonda"	0.11183
"Penelope Cruz"	0.110945
Eileen	0.110176
"Janet McTeer"	0.107375
Terri	0.105674
"Lauren Bacall"	0.101797
"Kathy Bates"	0.100949
"Emily Watson"	0.100254
"Annette Bening"	0.100229
"Catherine Deneuve"	0.0994648
"Sarah Jessica Parker"	0.0993008
"Jennifer Love Hewitt"	0.0981949
Winnie	0.0974844
Patricia	0.0938351
"Kirsten Dunst"	0.0914908
Electra	0.0911472
Doris	0.0907146
"Uma Thurman"	0.0903841
"Brooke Shields"	0.0897498
Evelyn	0.0871337
Lynne	0.087117
"Kim Basinger"	0.0863759
Cherie	0.0861057
"Michelle Pfeiffer"	0.085613
"Wang Yeping"	0.0855734
"Cameron Diaz"	0.0852928
"Melanie Griffith"	0.0850138
"Luc Longley"	0.0849998
"Vanessa Redgrave"	0.0843865
Irina	0.0843203
Sheryl	0.0841787
"Nicole Kidman"	0.083211
"Natasha Richardson"	0.0826098
"Steve Kerr"	0.0824363
"Gwyneth Paltrow"	0.0823952
Brenda	0.0821775
"Meryl Streep"	0.0820386
"Marilyn Monroe"	0.0810888
"Elizabeth Taylor"	0.0804449
Hadassah	0.0803817
"Claire Danes"	0.0800017
Billie	0.0795953
"Cate Blanchett"	0.079221
alicia	0.0777577
Marianne	0.0765291
Phyllis	0.0762449
Cathy	0.0759571
"Halle Berry"	0.0757309
Beverly	0.0754372
Connie	0.0750027
Suzanne	0.0746389
Camille	0.0745206
Norma	0.0743863
Liz	0.0742771
Sylvia	0.0741893
Juanita	0.0741784
"Elizabeth Hurley"	0.0741668
JoAnne	0.0739776
"Jodie Foster"	0.0738257
Monique	0.0732322
"Kate Winslet"	0.0729511
Michele	0.0728608
"Dickey Simpkins"	0.0723414
Maureen	0.0722748
Anita	0.0722131
Tracey	0.0721804
Elena	0.0715624
Shirley	0.07128
"Jennifer Lopez"	0.0712217
"Geena Davis"	0.0709926
"James Van Der Beek"	0.0709175
Rhonda	0.0708268
Nicole	0.0706223
Elaine	0.0700851
"Glenn Close"	0.0700091
"Nicole Brown Simpson"	0.069993
Cheryl	0.0691677
Valerie	0.0690106
"Mia Farrow"	0.0688607
Diane	0.0688219
"Angela Bassett"	0.0687219
"Helen Hunt"	0.0685262
Esther	0.0684179
becky	0.0676713
Dolores	0.0672345
"Susan Sarandon"	0.0667134
Marta	0.0659747
Edith	0.0658815
Donna	0.0656592
"Sophia Loren"	0.0656326
Pam	0.0654264
"John Lithgow"	0.0651394
"Ashley Judd"	0.0649877
Cindy	0.0648498
"David Duchovny"	0.064825
Janet	0.0646312
"Brian Dennehy"	0.0646285
"Del Harris"	0.0643343
Lori	0.0642709
Alma	0.064043
"Tim Allen"	0.0639601
"Carolyn Bessette Kennedy"	0.0638249
"Karl Malone"	0.0637915
Kristin	0.0637591
"Keanu Reeves"	0.0635519
"Claudia Schiffer"	0.0634687
Sally	0.0634616
Catherine	0.0634052
Meg	0.0633965
"Drew Barrymore"	0.0632807
Yarmila	0.0628568
Laurie	0.0627585
Lisa	0.0625193
"Calista Flockhart"	0.0621167
Alexandra	0.0618886
"Faye Dunaway"	0.0616066
Maude	0.0615112
"Roberto Benigni"	0.061225
"Charles Barkley"	0.0611945
Audrey	0.0610906
"Martin Lawrence"	0.0610264
"Julia Roberts"	0.0610078
"Meg Ryan"	0.0607343
Annie	0.06049
Teresa	0.0604843
Polly	0.0604618
Gina	0.0604603
Olga	0.060379
Millie	0.0600283
Dorothy	0.0597669
"Camryn Manheim"	0.0596293
Christine	0.0596117
Debra	0.0595168
"Hulk Hogan"	0.0595107
Patti	0.0594788
Vicki	0.0593265
Melanie	0.0591496
"Anne Heche"	0.0588284
hazel	0.0585733
"Barbara Bush"	0.0585015
"Chow Yun-Fat"	0.0582328
"Hilary Swank"	0.0581536
Ashley	0.0577778
Marguerite	0.0577681
"Reese Witherspoon"	0.0576874
"Garry Shandling"	0.0576539
Wanda	0.0575852
Stephanie	0.0572508
Eleanor	0.0570776
Lucille	0.0569848
Peggy	0.0568497
"Harvey Keitel"	0.0567537
Donnie	0.0562587
"Whoopi Goldberg"	0.0562185
Theresa	0.0562133
"Kevin Costner"	0.0558035
colleen	0.0557405
"Rod Strickland"	0.0556319
Cleese	0.055615
Nada	0.05559
"Michael J. Fox"	0.055585
Brooke	0.0553715
Anne	0.055345
"Zhu Lin"	0.0549759
Jacqueline	0.0548927
Rachel	0.0547414
"Norm MacDonald"	0.0547003
Karenna	0.0546832
Marilyn	0.0546521
Nancy	0.0546317
Tipper	0.0545553
"Mary Tyler Moore"	0.0545151
Ince	0.0544633
Lois	0.0544364
Paulina	0.0543381
Bess	0.054336
Margaret	0.0543108
"Kevin Bacon"	0.0542529
Sonia	0.0542308
Nikki	0.0540728
"Cybill Shepherd"	0.0540537
Sara	0.0538734
"Minnie Driver"	0.0535565
Rambis	0.0533923
Jackie	0.0532745
"Patrick Stewart"	0.0531157
"Marlene Dietrich"	0.0529833
"Glen Rice"	0.0526582
Jill	0.0525506
Vera	0.0525472
"Nathan Lane"	0.0524836
Barbara	0.0524274
Louise	0.0524233
Claudia	0.0522556
gloria	0.0522147
Janice	0.0521591
"Sarah Ferguson"	0.0520731
))
("Carmen Policy" (desc 1506.08) (sims
"Glen Sather"	0.158727
"Frank Joklik"	0.141487
"Ernie Grunfeld"	0.129336
"Tom Welch"	0.122799
"Dwight Clark"	0.117351
"Juan Antonio Samaranch"	0.116632
"Sepp Blatter"	0.115446
"Tom Johnson"	0.108451
"Jacques Santer"	0.107935
"Brian Cashman"	0.10499
"Brent Jones"	0.103827
"Steve Mariucci"	0.103523
"Martti Ahtisaari"	0.103259
"Bill Walsh"	0.103059
"Joao Havelange"	0.103009
"Bernie Ecclestone"	0.101427
"Jack Valenti"	0.101227
"Krishna Prasad Bhattarai"	0.100239
"Ricardo Alarcon"	0.0996789
"Biljana Plavsic"	0.0993923
"Isiah Thomas"	0.0991426
"Neil Smith"	0.0962964
Zeroual	0.0908887
"Kim Dae Jung"	0.0906846
"Ketumile Masire"	0.0898513
Yadav	0.0897854
Bhattarai	0.0887255
"Wim Duisenberg"	0.0886778
"Billy Payne"	0.0885743
"Kim Yong Nam"	0.0866877
"Kevin Malone"	0.0861414
Coia	0.0860358
"John Sweeney"	0.0858849
"Vaclav Havel"	0.0857866
"Dave Checketts"	0.0857782
"Wang Yan"	0.0845579
"Scott Harshbarger"	0.0837025
"Ruud Gullit"	0.0835906
"Chea Sim"	0.083534
"James P. Hoffa"	0.0830451
Mukora	0.0825197
"Richard M. Nixon"	0.0822851
Naumann	0.0797086
Bizimungu	0.0791169
"Joseph Estrada"	0.0778128
"Mark Cuban"	0.0775755
"Steve Ballmer"	0.0774652
Masire	0.0765722
"Ricardo Lagos"	0.0764399
"Robert E. Rubin"	0.076087
"Jerry West"	0.0753977
"Jamil Mahuad"	0.0752541
"Jerry Krause"	0.0751758
"Wang Daohan"	0.0745589
"Jeffrey Katzenberg"	0.0744371
"Tony George"	0.0739216
"Mikhail Gorbachev"	0.0736327
"Laurent Fabius"	0.0735348
Santer	0.0732439
"Andreas Papandreou"	0.0731946
"Dave Cowens"	0.0727724
"Zhou Guangzhao"	0.0725584
"Harry Sinden"	0.0723613
"Kevin McHale"	0.0718877
"Lech Walesa"	0.0717617
"Richard Smith"	0.0712559
"Gianni Agnelli"	0.0710105
Cowens	0.0702748
"Lou Dobbs"	0.0688995
"Mike Holmgren"	0.0683872
"Jacques Chirac"	0.0683859
"Ozzie Newsome"	0.0683694
"Franjo Tudjman"	0.068312
Luong	0.0679514
"Li Tieying"	0.0673928
"Aslan Maskhadov"	0.0673567
"Julius Nyerere"	0.0667011
"Dave Stewart"	0.066656
"Sonia Gandhi"	0.0666546
"Franz Beckenbauer"	0.0665983
"Buck Williams"	0.0665588
Stoyanov	0.0663346
Akayev	0.0656805
Kwasniewski	0.0653088
Lissouba	0.0649736
"Andres Pastrana"	0.0647924
"Cesar Gaviria"	0.0644195
"Olusegun Obasanjo"	0.0643781
"Enrique Iglesias"	0.0643145
"Thabo Mbeki"	0.0640993
Vogts	0.0633883
"Dan Duquette"	0.0633328
"Michel Camdessus"	0.0628438
"Tommy Lasorda"	0.0623839
"Mohammad Khatami"	0.0623774
Beckenbauer	0.0622374
Catacosinos	0.0621442
Goff	0.0620497
"Nikola Poplasen"	0.0618527
Moscoso	0.0614666
"Mitt Romney"	0.0613045
Kaunda	0.060387
"Richie Phillips"	0.0602471
Klerk	0.0591512
"John J. Gotti"	0.0591138
"Ronnie Lott"	0.0588365
"Mel Karmazin"	0.0587184
"Dos Santos"	0.0586765
"Michael Ovitz"	0.0583398
Nano	0.0583107
"Antonio Langham"	0.0580488
"Gerald Ford"	0.0579348
"James Barksdale"	0.0576877
"Tony Coelho"	0.0574361
"P.V Narasimha Rao"	0.0574275
Joklik	0.0572563
"Mike Brown"	0.0572331
"Michel Platini"	0.0571496
"Kresimir Zubak"	0.0568433
"John Quincy Adams"	0.0567365
Rabbani	0.0566724
"Robert Mugabe"	0.0566499
"Ty Detmer"	0.0566187
Nazarbayev	0.0564354
"Jerry Colangelo"	0.0564224
"Bryant Young"	0.0561501
GRUNFELD	0.0560493
Casserly	0.0559127
"Martin Luther King III"	0.0559116
"Kevin Keegan"	0.0558448
"Lyndon B. Johnson"	0.0557834
"Bobby Smith"	0.0557544
"Andrew Johnson"	0.0556629
Chissano	0.055603
Rao	0.055508
"Elizabeth Dole"	0.0551009
Sassa	0.055025
"Kim Jong-pil"	0.0549938
"Lomas Brown"	0.0546388
Checketts	0.0545491
Cubas	0.054391
Subic	0.0541408
Izetbegovic	0.0540895
Gossage	0.0540052
"Dwight D. Eisenhower"	0.0539383
Murayama	0.0538863
Ershad	0.0538754
"Don Nelson"	0.053722
"Lamberto Dini"	0.0532573
Gowda	0.053256
Magaziner	0.0532254
Barad	0.0531837
"Princess Anne"	0.052988
"Jim Guy Tucker"	0.0529676
"Sandy Alderson"	0.0529246
Ahtisaari	0.0528321
Shevardnadze	0.0527986
"Fernando Henrique Cardoso"	0.0526353
"Pierre Buyoya"	0.0525261
"Kevan Gosper"	0.0524595
Taubman	0.0524343
"Jeremy Greenstock"	0.0523764
"David Sibandze"	0.0518361
"Mary Robinson"	0.0518292
Ribbeck	0.0515361
"Girija Prasad Koirala"	0.0515101
"Scott Ritter"	0.0513152
"Charles Taylor"	0.0511004
"Joe Montana"	0.0510443
"Tomiichi Murayama"	0.0510405
"Terry Collins"	0.0509916
"Hugo Chavez"	0.0509433
Wetherell	0.0507599
"B.J Habibie"	0.0505553
Blatter	0.0505066
"Frank Stronach"	0.050337
Narayanan	0.0503258
"Fatos Nano"	0.0499926
Klestil	0.0498446
Rafsanjani	0.0498418
Diouf	0.0497592
"Tansu Ciller"	0.0497191
"Tom Lasorda"	0.0496629
"Abdurrahman Wahid"	0.0494796
"Andrew Jackson"	0.0492162
Gauthier	0.0490697
"Chen Muhua"	0.0488244
"De Klerk"	0.048757
"William Jefferson Clinton"	0.0487465
Citron	0.0487114
Sukarno	0.0486699
Caldera	0.0486172
"Deve Gowda"	0.0485433
"Felipe Gonzalez"	0.0484687
"Alija Izetbegovic"	0.0482244
"J.J Stokes"	0.0479649
"Joaquim Chissano"	0.0479211
"Laurent Kabila"	0.0479028
Niyazov	0.047768
"La Mont"	0.0477678
))
(Carmichael (desc 1600.08) (sims
McDaniel	0.1611
Nasrin	0.138748
Shulman	0.133706
Kurth	0.119766
Greenwald	0.118063
Aguirre	0.115219
DeFrantz	0.113173
Condon	0.112435
Garofalo	0.10996
Roberson	0.108151
Wasserstein	0.10729
Imperatori	0.106467
Mucha	0.104906
Rowley	0.10474
Molinari	0.104608
Farber	0.102673
Morley	0.0992389
Markovic	0.0991784
Feldman	0.0990437
Barad	0.0980627
Brazile	0.0979677
Sheehy	0.0968237
Azizah	0.0967578
Lawler	0.0966323
Fiorina	0.0954924
Ghani	0.095267
Hartley	0.095245
Pape	0.0952176
Meskini	0.094958
Shalala	0.0935782
Guerin	0.0930677
Couric	0.0927045
Byrne	0.092212
Jeffers	0.0918667
Lowry	0.0916052
Brundtland	0.0914682
Vogel	0.0913138
Moscoso	0.0912371
Lockwood	0.0912363
Locke	0.0911369
D'Amico	0.0910372
Berenson	0.0910135
Brinkman	0.0900943
Farrell	0.090092
Huffington	0.0899192
D'Alessandro	0.0893459
Pearce	0.0888966
Ono	0.0884718
Cavallo	0.0879227
O'Hara	0.0876736
Skiles	0.0874005
Meissner	0.0866654
Jaffe	0.086628
Shayler	0.0862766
Atkinson	0.0861953
Weil	0.0861903
Wiggins	0.0860336
Blackman	0.0859112
Briscoe	0.0855595
Priebke	0.0854603
Cleary	0.0853563
Musa	0.0851764
Goldin	0.0850379
Zuckerman	0.0850149
Marinovich	0.0848919
Soares	0.084723
Garvey	0.0844174
Rivlin	0.0843994
Kurtz	0.0842952
Marquez	0.0840344
Yazdi	0.0838646
Weisman	0.0838602
Vasquez	0.0833797
Haney	0.0833421
Abram	0.0830567
Seligman	0.0827578
Tuttle	0.0825804
Betts	0.0825477
Faget	0.082539
Gaffney	0.0824625
Arizmendi	0.082309
Salim	0.0820743
Rupert	0.0820651
Janssen	0.0819765
Allende	0.0819342
Cline	0.0818361
FAWCETT	0.0817686
"Abu Nidal"	0.0814743
Bowen	0.0812611
Baum	0.0809505
joiner	0.0807173
Midler	0.080564
Adair	0.0801403
Orton	0.0800876
Yoon	0.0799864
Ota	0.0795181
Schafer	0.0793845
Scruggs	0.079317
Kusama	0.0790565
Stayner	0.0789308
Murad	0.0788579
lauder	0.0786159
Gravano	0.0785451
Lurie	0.0784922
Kingsley	0.0780763
Tomey	0.078073
Hoke	0.0780195
Jensen	0.077989
Jacobson	0.0779746
Xiao	0.0777591
Pfeiffer	0.0774664
Morrison	0.0774323
Mckee	0.0773677
Sakakibara	0.077277
Ackerman	0.0772654
COYNE	0.0772428
Ibarra	0.0772244
Flockhart	0.0772048
Eizenstat	0.0770415
Bragg	0.0770229
Nikitin	0.0769632
Shriver	0.0769036
Kagalovsky	0.0768518
Salinger	0.0768112
Muller	0.0765342
Schiff	0.0764843
Falco	0.0762249
Tharp	0.0761993
Ingalls	0.0760901
Sheedy	0.0760606
Kirkpatrick	0.0759485
Nanula	0.0756152
Marchand	0.0755406
Brenner	0.0755188
Zuma	0.0754236
Gores	0.0753313
Koop	0.0752709
Olson	0.0751406
Mcbride	0.0749934
Hamlin	0.0749816
Padilla	0.0747129
Petersen	0.0746028
Weiner	0.0743591
Valeo	0.0743172
Willis	0.0742996
Whaley	0.0742735
Harman	0.0742644
Menchu	0.0742084
Jewell	0.0741866
Tilberis	0.0741417
Jia	0.0740487
Montiel	0.0740369
FitzPatrick	0.0739411
Steinberg	0.0738952
Boardman	0.0737769
Walser	0.0736125
Garber	0.0736013
Edelstein	0.0735272
fowler	0.0734769
Lau	0.073122
Deneuve	0.0730058
Henning	0.073004
Laudor	0.0729938
Newhouse	0.0729923
Knapp	0.072859
Edson	0.0728326
Daniels	0.072641
Sorensen	0.0726031
Gillespie	0.0723419
Hightower	0.0722439
Cohn	0.0722194
Einhorn	0.0722015
Lazarenko	0.0721593
Callahan	0.072148
Shipman	0.0721209
Redgrave	0.0721052
Godfrey	0.0720611
Suarez	0.0720306
Flores	0.0719341
Bushnell	0.0718773
Prewitt	0.0717625
Bove	0.0717146
Haines	0.0716696
Benton	0.0716368
Rowe	0.0716365
Horne	0.0716122
Seltzer	0.0716018
Hickman	0.071579
Dyson	0.0715722
Tarawneh	0.0715105
Ashrawi	0.071447
Duffy	0.071429
Conroy	0.0713864
Gao	0.0713496
Coppola	0.0712278
Simons	0.0712175
Seymour	0.0712166
Snowe	0.0711229
Pappas	0.0711062
Russo	0.0710956
))
(carnage (desc 16233) (sims
bloodshed	0.168354
devastation	0.148359
massacre	0.14528
slaughter	0.143956
bloodbath	0.139627
tragedy	0.138465
mayhem	0.135316
rampage	0.12461
catastrophe	0.122458
atrocity	0.119796
horror	0.119263
violence	0.118398
chaos	0.111951
killing	0.110163
destruction	0.109714
bloodletting	0.107531
upheaval	0.106519
pandemonium	0.104076
disaster	0.0996451
unrest	0.0991977
misery	0.0971592
suffering	0.0951339
terror	0.0950881
calamity	0.0943664
selloff	0.0917528
looting	0.0908394
brutality	0.0908329
sell-off	0.0889807
spree	0.0882903
turmoil	0.087203
"bomb blast"	0.086812
debacle	0.0866964
famine	0.0861921
rioting	0.0861691
anarchy	0.0859046
cleansing	0.0857836
incident	0.0854059
explosion	0.0853461
trauma	0.0845612
shooting	0.0844906
volatility	0.0835991
riot	0.0832276
strife	0.0828123
havoc	0.0827643
genocide	0.0823051
gridlock	0.0823008
downturn	0.0822634
turbulence	0.0821584
purge	0.0816499
lawlessness	0.0805606
panic	0.0799807
outbreak	0.079923
hardship	0.0798915
"fatal accident"	0.0791563
disruption	0.0785311
conflagration	0.0780185
confrontation	0.0776081
"mass murder"	0.0774204
accident	0.0771279
confusion	0.077076
instability	0.0763992
"traffic jam"	0.0760498
madness	0.0759717
clash	0.0756522
bombing	0.0755729
dislocation	0.0754018
spill	0.0750975
craziness	0.0746447
flooding	0.0742668
casualty	0.0740174
blast	0.0733922
slaying	0.0733507
fighting	0.0729185
epidemic	0.0727572
escalation	0.0725902
wreck	0.0722273
savagery	0.071795
congestion	0.0715932
barbarity	0.0709177
crime	0.0708207
cruelty	0.0706607
exodus	0.0706322
mishap	0.0706133
meltdown	0.0702981
deterioration	0.0702738
Bedlam	0.0700729
crises	0.069935
assault	0.0699154
"crime wave"	0.0697906
"heat wave"	0.0697436
ambush	0.0696254
nightmare	0.0696065
raid	0.0695182
disturbance	0.0693351
frenzy	0.0691823
repression	0.0690785
cataclysm	0.0688404
melee	0.0686214
injustice	0.0680344
beating	0.0680128
degradation	0.067734
Collision	0.0675106
conflict	0.0673509
commotion	0.0668892
mess	0.0667157
eruption	0.0666173
unpleasantness	0.0660555
toll	0.065952
pain	0.0653025
starvation	0.0650387
outage	0.064781
tremor	0.0646519
crunch	0.064621
gyration	0.0645056
flare-up	0.0643661
fatality	0.0643415
tension	0.0643368
ordeal	0.0642575
temblor	0.0642399
"flash flood"	0.0642281
crisis	0.0641913
swoon	0.064155
humiliation	0.0638476
abuse	0.0637814
kidnapping	0.0636602
harm	0.0636242
spate	0.0633198
agony	0.063241
tumult	0.0631111
shelling	0.0630417
hyperinflation	0.0630376
hostility	0.0628849
displacement	0.0626602
"tidal wave"	0.0624546
drought	0.0624358
skirmish	0.0623836
slump	0.0621478
firefight	0.0620909
"power failure"	0.0620366
fracas	0.0618161
onslaught	0.0617468
torture	0.0614666
persecution	0.0613239
corruption	0.0610946
downdraft	0.0609807
tornado	0.0609715
shakeout	0.0606179
slowdown	0.0601098
woe	0.0600259
upsurge	0.0599382
fallout	0.0599265
assassination	0.059911
Quake	0.0598218
pileup	0.0596743
insecurity	0.0595509
despair	0.0594937
vandalism	0.0594866
downpour	0.0592711
misfortune	0.0591499
abduction	0.0590747
plight	0.058993
harassment	0.0589813
erosion	0.0589712
rash	0.0588956
blackout	0.0588685
earthquake	0.058862
break-in	0.0585365
"air raid"	0.0584802
"car bomb"	0.058374
shootout	0.0582026
freefall	0.0580961
oppression	0.0580508
inferno	0.0576639
bombardment	0.0575858
scandal	0.0574732
uncertainty	0.0574606
lynching	0.0573494
brawl	0.0573154
anguish	0.0571504
consequence	0.0570397
episode	0.0570212
butchery	0.0569631
destabilization	0.0569271
incursion	0.0569089
shortage	0.0568531
warfare	0.0568473
crackdown	0.0566923
firestorm	0.0565867
indignity	0.0565854
controversy	0.0565695
"air attack"	0.0565542
hatred	0.0564506
mudslide	0.0563937
pollution	0.0563002
"price war"	0.0562994
misunderstanding	0.0560838
"civil war"	0.0560689
"bear market"	0.0560538
"Bull Run"	0.0560092
"state of affairs"	0.0560062
))
(Carnahan (desc 5596.37) (sims
"Mel Carnahan"	0.220032
Spitzer	0.154531
Ashcroft	0.149904
Mauro	0.142125
Torricelli	0.137701
Cuomo	0.135451
Vallone	0.133616
Cellucci	0.132198
Taft	0.131248
McCall	0.130285
Gephardt	0.12653
Siegelman	0.125899
Madrazo	0.124382
Vacco	0.123967
Quayle	0.122609
Pataki	0.121148
Feinstein	0.120503
Lautenberg	0.11867
Schumer	0.117935
Corzine	0.11687
Rowland	0.113923
Zedillo	0.113202
Engler	0.112646
Giuliani	0.112244
Whitman	0.111549
Kasich	0.111547
Kerrey	0.111367
Nethercutt	0.110077
Cornyn	0.109936
D'Amato	0.10965
Gramm	0.109125
"Lawton Chiles"	0.107352
Harshbarger	0.107182
"Gray Davis"	0.106322
Bronfman	0.106305
Moynihan	0.105735
Lott	0.105094
Dukakis	0.10427
Markey	0.104066
Hastert	0.103501
Selig	0.103084
Tauzin	0.102975
Shalala	0.10287
Hoffa	0.102703
Fieger	0.102566
Labastida	0.10255
Lazio	0.102325
Daschle	0.101068
Garcetti	0.100726
McCaffrey	0.100678
Kennard	0.10065
Florio	0.100358
Bauer	0.1001
Azizah	0.0997446
Locke	0.0987261
Voinovich	0.0987135
Robb	0.0981669
Rendell	0.0979327
Pastrana	0.0972955
Rangel	0.0971718
Santorum	0.0969239
Menem	0.0966621
Blair	0.0966014
"Gary Locke"	0.0965069
SHUSTER	0.0963681
Kerasiotes	0.0963173
Glendening	0.0960854
Dodd	0.0954194
Lockyer	0.0953901
DOLE	0.0951355
Shaheen	0.0950906
Estrada	0.0948352
Aleman	0.0948195
"Jane Hull"	0.0947138
MacKay	0.0945563
Advani	0.0943876
FAIRCLOTH	0.0939023
Rossello	0.0932416
Barshefsky	0.0930022
"Eliot Spitzer"	0.0928421
Armey	0.0924594
Kerry	0.0921954
Havel	0.092084
Maskhadov	0.0918679
Archer	0.0917407
Riordan	0.0916667
Ferraro	0.0915529
Klestil	0.0915292
Satcher	0.0914295
Tudjman	0.0914176
"John G. Rowland"	0.0910201
McGovern	0.0909305
Kyl	0.0905302
Pelosi	0.0902471
Wolfson	0.0900555
"Michael Dukakis"	0.0900204
"Jeanne Shaheen"	0.089873
Bradley	0.0897095
Sharpton	0.0896757
"Pete Wilson"	0.0893006
Hodges	0.0891981
Ruehe	0.0889527
Arens	0.0889446
Fong	0.0888036
Helms	0.0881956
Hodler	0.0881258
Kostunica	0.0878237
Hybl	0.0876837
Hayworth	0.0875156
Lebed	0.08744
Djukanovic	0.0874257
Rylander	0.0873559
Hynes	0.0872874
"Christie Whitman"	0.0872725
Kwasniewski	0.0868436
Lieberman	0.0867869
Weizman	0.0866682
Ammiano	0.0866471
hodgson	0.0866096
Quackenbush	0.086432
Ruthardt	0.0862994
Barnes	0.086283
Maslyukov	0.0861123
Boehner	0.0860689
Ivester	0.0860568
Samper	0.0860421
Babbitt	0.0858523
Carollo	0.0858408
Schroeder	0.0855887
Lungren	0.0855583
Cardoso	0.0854044
Alarcon	0.0853937
Ventura	0.0850154
Fordice	0.0848933
"George Pataki"	0.0848694
Mbeki	0.0847496
Gosper	0.0846281
Netanyahu	0.0846264
Wahid	0.084561
Mugabe	0.0844153
LaPierre	0.083987
Maritz	0.0839022
"Hillary Clinton"	0.0838988
Yeltsin	0.0835725
Rogan	0.0834177
Kesri	0.0831257
Brownback	0.08301
McCurry	0.0829219
McCain	0.0828799
Safir	0.0827118
Caddell	0.0827019
Arias	0.0825059
McConnell	0.0823102
Ruff	0.0820786
Aliev	0.0820422
Shevardnadze	0.0820283
D'Alema	0.0820007
Kennelly	0.0818351
Aznar	0.0816899
Kohl	0.081584
"Jim Hodges"	0.0814554
"Parris Glendening"	0.0813126
Samaranch	0.0812711
Gingrich	0.0812659
Teresi	0.0811628
Weldon	0.0810444
Podesta	0.0808498
Haider	0.0805901
Eizenstat	0.0805456
"Clinton Administration"	0.0803137
Kuchma	0.0802533
Biden	0.0801695
Jovanovic	0.080158
Narayanan	0.079977
Meissner	0.0798757
Rakhmonov	0.0798103
Coverdell	0.0796553
Berisha	0.0795449
"Russian Foreign Ministry"	0.07951
Reno	0.0794068
Harkin	0.0793546
Verney	0.0793355
Schottenheimer	0.0791071
Maloney	0.0788877
Nazarbayev	0.0788732
Zyuganov	0.078868
"Zell Miller"	0.0787046
Blatter	0.07868
Baucus	0.078657
Diouf	0.0786019
Hyde	0.0785184
"Jeb Bush"	0.0784595
Chafee	0.0783237
Scharping	0.0782254
Gorton	0.07819
"Bill Lockyer"	0.0780999
FALWELL	0.0780859
Gilmore	0.0779512
NRC	0.0778956
Khamenei	0.0777946
))
(carnation (desc 4627.12) (sims
dahlia	0.192391
chrysanthemum	0.187861
daffodil	0.178087
lily	0.175206
pansy	0.159828
poinsettia	0.154724
hibiscus	0.138439
orchid	0.136955
tulip	0.135786
peony	0.132233
gardenia	0.124855
hyacinth	0.124536
Daisy	0.121854
violet	0.12185
azalea	0.117135
hydrangea	0.115513
flower	0.10991
lilac	0.108843
rhododendron	0.108179
bougainvillea	0.107964
blossom	0.107722
poppy	0.103378
camellia	0.102289
petunia	0.100802
jasmine	0.0992282
mauve	0.0985938
fuchsia	0.0960778
Iris	0.0952747
purple	0.0929223
wreath	0.0908098
aster	0.0900794
zinnia	0.0899027
"food coloring"	0.0878079
marigold	0.0873333
lavender	0.086913
"teddy bear"	0.0867679
petal	0.0863964
bandana	0.0857777
tablecloth	0.0848389
geranium	0.0845524
streamer	0.0842849
"feather boa"	0.084037
dogwood	0.0834256
wildflower	0.0829009
balloon	0.0825784
ribbon	0.0819855
impatiens	0.0817481
fern	0.0814735
armband	0.0810155
sunflower	0.0810057
Wisteria	0.0805399
"sweet pea"	0.0804367
"nail polish"	0.0800736
clematis	0.0800151
anemone	0.0785481
suspender	0.0776053
"boxing glove"	0.0769267
bouquet	0.0760748
candle	0.0760262
oleander	0.0755124
bandanna	0.0754975
BOA	0.0744515
"dress shirt"	0.0722051
pompom	0.0721657
"sheet of paper"	0.0714858
shawl	0.0711338
headband	0.0711191
"slip of paper"	0.0702052
confetti	0.0701717
waistcoat	0.0697821
"black-eyed Susan"	0.0695934
Sari	0.0688726
smock	0.0676996
caftan	0.0675487
chard	0.0674557
windbreaker	0.0673664
"monkey wrench"	0.0673337
"hard hat"	0.0668414
"sport shirt"	0.0660528
chamomile	0.0656305
perennial	0.0654889
"M&AMP;Ms"	0.0653211
frond	0.0652039
jumpsuit	0.0646419
"polo shirt"	0.0642047
chartreuse	0.0639571
mitten	0.0638593
"day lily"	0.0637721
Sash	0.0636387
wristband	0.063466
"top hat"	0.0634207
"beach ball"	0.0632916
blob	0.0630688
"Star of David"	0.0629849
blotch	0.0629167
"stiletto heel"	0.0628166
lollipop	0.0626179
"picket fence"	0.0624724
amaryllis	0.0624308
"bow tie"	0.0620049
"white flag"	0.0617247
tights	0.0616669
"herb garden"	0.0615859
bunting	0.0614324
slicker	0.0611832
pantsuit	0.0601519
"dollar bill"	0.0600705
stripes	0.0592723
turban	0.0590862
stripe	0.0588222
pajama	0.058703
beret	0.0586186
"paper bag"	0.0585539
"electrical device"	0.0582928
"black flag"	0.0581944
peach	0.0579521
abalone	0.0575734
scarf	0.0573806
grapefruit	0.0572541
crosse	0.0571616
legging	0.0569506
"tile roof"	0.0563642
handkerchief	0.0558502
"hot pants"	0.0556256
"national flag"	0.055339
"Jeep Cherokee"	0.055288
"fishing rod"	0.0552289
holly	0.0552125
napkin	0.0552125
lantern	0.0551675
velvet	0.0551088
snapdragon	0.0550844
turtleneck	0.054994
"Lincoln Town Car"	0.0548274
sedum	0.0548054
crimson	0.0546519
parachute	0.0545539
"gasoline bomb"	0.0544877
fedora	0.0543775
toolbox	0.0543534
bead	0.054207
mum	0.054075
overcoat	0.0539893
"baseball cap"	0.0539384
"flower arrangement"	0.053811
"evening gown"	0.0537885
"paper cup"	0.0536637
"name tag"	0.0533105
"morning glory"	0.0532036
"wrapping paper"	0.052933
sparkler	0.052915
pencil	0.0529077
blouse	0.0528635
necktie	0.0528375
verbena	0.052822
dachshund	0.0528108
panty	0.0526598
feather	0.052634
chaise	0.0525028
clover	0.0524956
turnip	0.0524781
nightgown	0.0523929
rosary	0.052379
plumage	0.0523195
vase	0.0521912
feathers	0.0520607
cardigan	0.0519864
"bathing suit"	0.0517433
miniskirt	0.0516782
sapling	0.0516481
"ground cover"	0.0514968
pillowcase	0.0514448
sweatshirt	0.0514239
"wedding dress"	0.0513879
bunny	0.0513332
"life preserver"	0.0512379
cactus	0.0510878
"life vest"	0.0510437
"beam of light"	0.0509023
"dress uniform"	0.0508958
shingles	0.0507141
beet	0.0506999
"cherry tomato"	0.0505336
sweater	0.0502556
plum	0.0498327
watermelon	0.049775
Kleenex	0.0497071
pigment	0.0495778
crayon	0.0495461
snowflake	0.0495223
"cowboy hat"	0.0493577
"tennis ball"	0.0493325
radish	0.0493217
lettering	0.0493014
satin	0.049283
"piece of paper"	0.0492578
"M&AMP;M"	0.0492158
parka	0.0491654
coral	0.0491559
"hunting knife"	0.0491207
))
(Carneal (desc 1259.54) (sims
Camdessus	0.152275
Fortier	0.140339
"Maturino Resendiz"	0.121439
Barrionuevo	0.11675
Martorano	0.116272
Canady	0.107766
Gutman	0.107179
Kambanda	0.106115
Baumhammers	0.105067
Jelisic	0.104593
Elhage	0.104331
Mitnick	0.102826
Limon	0.10281
Whitacre	0.102601
D'Amico	0.102359
Swango	0.10203
Andreas	0.101869
Chukwu	0.10176
looper	0.0998308
Shipman	0.0981058
Capano	0.0969185
BSF	0.0966554
Ashbrook	0.0926634
Manbar	0.0894902
Skakel	0.0888158
Shulman	0.0878712
Markhasev	0.0875941
Meskini	0.0875233
"Yigal Amir"	0.0874799
Crocker	0.0860502
Lacresha	0.085743
Akayesu	0.0848479
Vasquez	0.0827867
furrow	0.0827454
Francois	0.0825166
"Russell Henderson"	0.0824683
Kaczynski	0.0815693
Marinovich	0.0815593
Schweitzer	0.0810995
Padilla	0.0809652
Valenzuela	0.0807379
Amir	0.0804428
Contreras	0.0796702
Warshaw	0.0794227
Stayner	0.079078
Hensley	0.0790348
Hiett	0.0789234
"Dylan Klebold"	0.0787999
nance	0.0787151
Sebaggala	0.0768389
Gravano	0.0766
Neulander	0.07655
Pryor	0.0765196
Gotti	0.0764451
Skiles	0.076334
"El Hage"	0.0762563
Nunez	0.075002
Grossberg	0.0749876
guardsmen	0.0745406
Mendez	0.0745036
Nathaniel	0.0740798
Luo	0.0739719
Brazill	0.0738315
Sithole	0.0736958
Demps	0.0735872
McDuff	0.0731009
Ziegler	0.0721121
Sheinbein	0.0720134
Jenoff	0.0716325
Soliah	0.0715686
Karlsson	0.0711686
peeler	0.0711461
Papon	0.0708088
Musa	0.0702019
Merlino	0.0696867
Hofer	0.069533
Kodikian	0.0692268
Milken	0.0692195
Nikitin	0.069092
Olowokandi	0.0688092
Kimes	0.0687741
"Mark O. Barton"	0.0686502
Alves	0.0684797
Stefano	0.0679973
Duran	0.0678149
Halloran	0.0677721
Salemme	0.0676618
Cabrera	0.0674898
Einhorn	0.0674717
"Mark Barton"	0.0670665
"Eric Harris"	0.067066
Mease	0.0667019
Caruso	0.0665139
kor	0.0659857
"Russell Peeler"	0.0659577
Gonzales	0.0657213
Gurule	0.0655502
al-Megrahi	0.0655344
Solomon	0.0653126
Gooding	0.0652716
Robison	0.0651213
Carruth	0.0650991
Al-Amin	0.0645427
Mustafa	0.0645193
Giacchetto	0.0644283
Volpe	0.0643937
Kinkel	0.0641208
Hagi	0.0640177
"Bill King"	0.0639785
Gauthe	0.0638698
Naipaul	0.063781
Karbaschi	0.0637438
Ankiel	0.0637252
Klebold	0.0637126
Hoffmann	0.0630939
Dorismond	0.0629947
"Johnny Chung"	0.0629819
Gallagher	0.0629345
Boesak	0.0627229
Pollard	0.0626621
Coolio	0.0624665
Kalejs	0.0621786
Agca	0.0620677
"Theodore Kaczynski"	0.0619348
Deri	0.0617547
STACEY	0.0617511
gentry	0.0615913
McSorley	0.0612833
Druckenmiller	0.0612587
Guidry	0.0608089
Bhutto	0.0604214
Trantino	0.0604202
"National Guardsmen"	0.0603131
co-defendant	0.0600129
Trie	0.0599968
"Justin Volpe"	0.0597896
"Terry Nichols"	0.0596986
Berkowitz	0.0596538
Hatfield	0.0595788
McMellon	0.0593294
Hoke	0.0592146
Doohan	0.0590954
Hirschfeld	0.0590466
"David Hale"	0.0590241
"intelligence analyst"	0.0589764
Ng	0.0589639
Priebke	0.0589247
Natale	0.0587706
Mullins	0.0585607
Maag	0.0583587
Fuhrman	0.0582273
Dunston	0.0580372
Odai	0.0577954
Lollar	0.0577094
"Timothy McVeigh"	0.0574764
"Michael Milken"	0.0573865
Batouty	0.0573657
"Wang Youcai"	0.057363
Raznatovic	0.0573116
Egan	0.0571456
Donato	0.0567368
Raduyev	0.0565079
Noriega	0.0562324
Mick	0.0561469
Falater	0.056129
Laudor	0.0554629
Hazelwood	0.0553683
"John Gotti"	0.055291
"Martin Frankel"	0.0552798
"John Robinson"	0.0552687
Berenson	0.0550986
Eubanks	0.0550157
BEGAY	0.0548254
McAllister	0.0547305
Tarver	0.0546523
Zamora	0.0545996
Meeks	0.0544686
Figueroa	0.0544069
assailant	0.0543941
"Cary Stayner"	0.0542427
"Ray Lewis"	0.0541979
abortionist	0.054116
Barrow	0.0539803
"John Martorano"	0.0539444
D'Alessandro	0.0538466
Fiorina	0.0537277
Faget	0.0536934
Levitch	0.0536425
Imelda	0.0535619
Lundy	0.0535389
Hoch	0.053534
Hanley	0.0534432
DeBartolo	0.0534405
Michele	0.0534283
Barton	0.0533748
Hurst	0.0532394
Sarsour	0.0532149
Schiffer	0.0532036
Tran	0.0530913
"John Huang"	0.0530393
))
(Carnegie (desc 3928.72) (sims
Slepian	0.121419
Starovoitova	0.109362
Webdale	0.0978773
Hani	0.0934225
Hajdari	0.0921668
Guerin	0.0886068
Bellush	0.0858563
JonBenet	0.0808726
Frick	0.0792746
Moxley	0.0783222
"Barnett Slepian"	0.0745193
Winchell	0.0719377
Gerardi	0.070297
Dahmer	0.0671295
Diallo	0.0668809
krueger	0.0666102
Shepard	0.0660958
Aquino	0.0639488
Dorismond	0.0635808
Grunow	0.0630146
Ileto	0.0623897
"JonBenet Ramsey"	0.0612288
"Amadou Diallo"	0.0604162
Amedure	0.0602436
Byrd	0.0599439
Mott	0.0598971
"Lee Harvey Oswald"	0.0587889
Snead	0.0587139
Lawler	0.058586
Mathews	0.0582818
Greco	0.057862
Hurtado	0.0578428
Ricart	0.0575334
Baez	0.0574412
Pinkerton	0.0567138
McCartney	0.0557122
Fahey	0.0556343
Benton	0.0555679
"Patrick Dorismond"	0.0555273
Raznatovic	0.0555238
Gaither	0.0555138
"Martha Moxley"	0.0554657
Rabin	0.055436
Sharma	0.0548255
Hartman	0.0544365
Kane	0.05379
Guggenheim	0.0537749
Neulander	0.0536775
Corcoran	0.0536152
Lennon	0.0535581
Grimes	0.0533976
Cosby	0.0529004
Loeb	0.0528717
"James Byrd"	0.0526952
Harding	0.0526449
"Gianni Versace"	0.0525654
Arbour	0.0524092
MacArthur	0.0523683
"civic center"	0.0521063
SETI	0.052022
Rothschild	0.0518096
Chenoweth	0.0510557
Kenna	0.0508897
Broaddrick	0.0505946
Kagalovsky	0.0504675
treehouse	0.050393
Silverman	0.0501897
"Justin Volpe"	0.0499523
Ulrich	0.049818
Ramsey	0.0490393
Rosenberg	0.0489811
RFK	0.0484401
Mortimer	0.0480574
Bessette	0.0480417
Watkins	0.0480021
Berenson	0.0478631
bullock	0.0474438
"James Byrd Jr."	0.0472521
"Carnegie Hall"	0.0471917
Mehta	0.0471714
Sheppard	0.0465522
Busch	0.0464998
"Alice Tully Hall"	0.0462777
Arkan	0.0462575
Rockefeller	0.0462229
bock	0.0460315
Briscoe	0.0457768
Levin	0.0457068
DEP	0.0456077
Newhouse	0.0455996
Abiola	0.0455486
Sund	0.0451483
"Avery Fisher Hall"	0.0450439
Webster	0.044518
first-grader	0.044427
"American Legion"	0.0439951
Noe	0.0438934
Ingalls	0.0436362
Nkabinde	0.0436247
Oswald	0.0432637
Middleton	0.0432372
Weis	0.043034
Smithsonian	0.043033
Petersen	0.0428437
"Silver Spring"	0.0424707
Pierson	0.0424171
Stahl	0.0424021
Muir	0.0423991
B.J	0.0423333
Shriver	0.0422352
"Matthew Shepard"	0.0421405
Howell	0.0419718
Gonzales	0.0418752
Binion	0.0417608
Hallinan	0.0417549
O'Hair	0.0417335
Hubble	0.0416961
Barton	0.0415703
Lovett	0.0413061
Cline	0.0412472
Lugo	0.041224
Yates	0.0411637
Flockhart	0.0410571
Simons	0.0408878
"Galina Starovoitova"	0.0408129
Castaneda	0.0408128
Brazile	0.0406932
Tilberis	0.040372
Wilder	0.0402891
Getty	0.0402374
Hess	0.0402373
O'Hara	0.040151
))
("Carnegie Endowment" (desc 1995.46) (sims
"Urban Institute"	0.342227
"American Enterprise Institute"	0.326002
"Center for Strategic"	0.24161
"Heritage Foundation"	0.235247
"Brookings Institution"	0.226336
"Council on Foreign Relations"	0.193278
"Cato Institute"	0.182876
"RAND Corp."	0.159988
"Union of Concerned Scientists"	0.150213
"Electronic Privacy Information Center"	0.14522
"BancBoston Robertson Stephens"	0.144195
"George Washington University"	0.144166
"Kennedy School of Government"	0.141547
"NationsBanc Montgomery Securities"	0.12838
"Center for Democracy"	0.123314
"CS First Boston"	0.116498
"Rockefeller University"	0.115428
"Development Research Center"	0.113871
Dataquest	0.112593
"Consumers Union"	0.112398
"Center on Budget"	0.112097
"Natural Resources Defense Council"	0.111219
Commerzbank	0.110443
"Edward Jones"	0.110213
"Congressional Research Service"	0.106416
"Gartner Group"	0.104189
"Freedom Forum"	0.103713
"Yale Law School"	0.102309
"Chinese Academy of Social Sciences"	0.101928
"Goldman, Sachs &AMP; Co."	0.101386
"Yankee Group"	0.100605
"Prudential Securities"	0.0975727
"Warburg Dillon Read"	0.0967423
Banc	0.0966157
"Violence Policy Center"	0.0953424
"Harvard School of Public Health"	0.0923317
"Donaldson, Lufkin &AMP; Jenrette"	0.092051
"National Institute"	0.0917587
"Human Rights Watch"	0.0898922
"Memorial Sloan-Kettering Cancer Center"	0.089242
"ING Barings"	0.0880043
"International Data Corp."	0.0878571
"Hambrecht &AMP; Quist"	0.087794
"Jupiter Communications"	0.0868224
"think tank"	0.0865707
"Chinese Academy of Sciences"	0.0865534
"Gomez Advisors"	0.0852883
"Goldman Sachs &AMP; Co."	0.0840977
"Forrester Research"	0.0839267
"Purdue University"	0.0816706
"Smithsonian Institution"	0.0795515
"Morningstar Inc."	0.0787433
"navy yard"	0.0785012
"Merrill Lynch &AMP; Co."	0.0766384
"ABN AMRO"	0.0765077
"California Institute of Technology"	0.0764438
"Baylor College of Medicine"	0.0750165
"Harvard Medical School"	0.0742232
"American University"	0.0740385
"Media Lab"	0.0736393
"Ohio State University"	0.0731503
"Dana-Farber Cancer Institute"	0.0730375
"National Marine Fisheries Service"	0.0726731
"National Association of Manufacturers"	0.0722726
"Vanderbilt University"	0.0722271
"Paine Webber"	0.0717459
"London School of Economics"	0.0716497
"Credit Suisse First Boston"	0.0715595
"Colorado State University"	0.0714457
"Johns Hopkins University"	0.071107
"Smith College"	0.0707488
"John F. Kennedy School of Government"	0.0700095
"University of Rochester"	0.0696539
PaineWebber	0.0695214
"teachers college"	0.0694155
"Tufts University"	0.0692824
IDC	0.0689871
"Beth Israel Deaconess Medical Center"	0.0687509
"General Services Administration"	0.0679957
"University of Toronto"	0.067538
"American Civil Liberties Union"	0.0673381
"University of Massachusetts"	0.06721
"Robertson Stephens"	0.0668234
"Consumer Federation"	0.0667748
"University of Chicago"	0.0667291
"U.S. Chamber of Commerce"	0.0659615
"school of law"	0.0657914
"Peking University"	0.0653246
"National Hurricane Center"	0.0647777
"Department of Education"	0.0647225
"Columbia University"	0.0645238
"National Press Club"	0.0642892
"Georgetown University"	0.0642138
"Amherst College"	0.064002
"J.P. Morgan &AMP; Co."	0.0639574
"Defense Fund"	0.0638345
"University of New Mexico"	0.0635841
"Lehman Brothers"	0.0633617
"University of Hong Kong"	0.0630661
"Rutgers University"	0.0629044
"National Cancer Institute"	0.062879
"National Institutes of Health"	0.0626498
"Salomon Smith Barney"	0.0624211
"Plaza Hotel"	0.0622988
"Stanford University"	0.0622546
"Michigan State University"	0.0619746
"Center for Responsive Politics"	0.0619727
"University of Colorado"	0.0615704
"National Federation"	0.061089
"Brown University"	0.060921
"Ethel Kennedy"	0.0604621
"John F. Kennedy Library"	0.0601848
"Department of Veterans Affairs"	0.0601421
Forrester	0.0601262
"American Psychological Association"	0.0600956
"T. Rowe Price"	0.0599406
"University of Miami"	0.0596472
"Harvard University"	0.05958
"Lawrence Livermore National Laboratory"	0.0593409
"World Petroleum Congress"	0.0591464
"Simon Wiesenthal Center"	0.0590396
"Chinese Academy of Engineering"	0.0588849
"Carter Center"	0.0587515
"Bear Stearns"	0.0585509
"University of Arizona"	0.0583552
"Wright-Patterson Air Force Base"	0.0582482
"National Conference"	0.0578826
"Wesleyan University"	0.0576418
"Federal Reserve Bank of New York"	0.0574237
"National Geographic Society"	0.0573901
"Howard University"	0.0570062
"National Academy of Sciences"	0.0566267
"Florida International University"	0.0557164
"Catholic University"	0.0552007
Morningstar	0.0548417
"Harvard Law School"	0.0547552
"University of Virginia"	0.0547333
DRI	0.0546792
"National Zoo"	0.0546774
"American Jewish Committee"	0.0545142
"North Carolina State University"	0.0541528
"Johns Hopkins"	0.0540489
"Public Citizen"	0.0537915
"Carnegie Mellon University"	0.0537518
"Kansas State University"	0.053709
"Pennsylvania State University"	0.0531237
"Morgan Stanley Dean Witter"	0.0530601
"World Jewish Congress"	0.0527368
Brigham	0.052708
"Rainbow/PUSH Coalition"	0.0524424
"Investors Service"	0.0523122
"University of Maine"	0.0519715
"Deloitte &AMP; Touche"	0.0518863
"University of Pennsylvania"	0.0514465
"CBS Sports"	0.0512605
"Ernst &AMP; Young"	0.0507968
"China Southern Airlines"	0.0506919
"Party School"	0.0499266
"American Museum of Natural History"	0.0497761
"Levi Strauss &AMP; Co."	0.0497342
"Southern Methodist"	0.0496341
"Cornell University"	0.0493321
"Kennedy School"	0.0492553
"Cambridge University"	0.0487503
"National Alliance"	0.0480556
"Democratic Front"	0.0477483
"Pipeline Safety"	0.0475314
"University of Kentucky"	0.0475156
"Family Research Council"	0.047426
"University of Minnesota"	0.0473512
"Standard &AMP; Poor"	0.0473028
PricewaterhouseCoopers	0.047212
"National Security Council"	0.0470344
"Kennedy Center"	0.0470117
"National Weather Service"	0.0469768
"Massachusetts Institute of Technology"	0.0468936
"University of Hawaii"	0.0468525
"Lincoln Memorial"	0.0466931
"European Bank for Reconstruction"	0.0465292
"Criminal Investigation Department"	0.0464336
"Legg Mason"	0.0462697
"Virgin Atlantic"	0.046024
"Oxford University"	0.0460183
"University of New Hampshire"	0.0459374
"University of Arkansas"	0.0457339
"Chinese Society"	0.045614
"Humanitarian Affairs"	0.0455721
"University of Wisconsin"	0.0455442
"New York University"	0.0454965
"National Archives"	0.0452023
"Industrial and Commercial Bank of China"	0.0450763
"University of Connecticut"	0.0449594
"Russian Space Agency"	0.0446465
"University of Maryland"	0.0445457
"University of South Carolina"	0.0444595
"National Security Agency"	0.0443898
"Federal Reserve Bank"	0.0441501
"Mather Worldwide"	0.0440548
"Rotary International"	0.0438241
"Dartmouth College"	0.043763
))
("Carnegie Hall" (desc 9523.94) (sims
"Avery Fisher Hall"	0.225948
"Alice Tully Hall"	0.194764
"New York City Opera"	0.185845
"Joyce Theater"	0.179052
"Metropolitan Opera House"	0.178677
"Metropolitan Opera"	0.176357
"Symphony Hall"	0.160815
"Brooklyn Academy of Music"	0.156221
"Radio City Music Hall"	0.141155
"Lincoln Center"	0.139597
"Kennedy Center"	0.139317
"New York State Theater"	0.131197
"Lincoln Center Festival"	0.120645
"Shrine Auditorium"	0.118534
"Madison Square Garden"	0.116316
met	0.110492
Tanglewood	0.110308
"Manhattan Theater Club"	0.104147
"town hall"	0.100523
"Waldorf-Astoria Hotel"	0.0973093
"New York Philharmonic"	0.0973077
"Museum of Modern Art"	0.0948804
"Metropolitan Museum of Art"	0.0934037
"Radio City"	0.0926161
"Film Forum"	0.0916119
"Continental Airlines Arena"	0.0909757
"opera house"	0.0894671
"Grand Central Terminal"	0.0885683
"Whitney Museum of American Art"	0.0882173
"Plaza Hotel"	0.087365
"La Scala"	0.0872215
"Rockefeller Center"	0.0839321
"Cooper Union"	0.0825312
"New York Film Festival"	0.0824345
"city center"	0.0823356
"concert hall"	0.0818656
"Shea Stadium"	0.0799917
Tabernacle	0.0792785
"Dorothy Chandler Pavilion"	0.0790232
"Covent Garden"	0.0766586
"Philadelphia Orchestra"	0.0764696
"Museum of Natural History"	0.0747948
"Yankee Stadium"	0.0744955
"Grand Ole Opry"	0.0743301
"Apollo Theater"	0.0733308
"Mount Sinai Hospital"	0.0728231
Woodstock	0.0727106
"P.S @@@"	0.0725909
"Solomon R. Guggenheim Museum"	0.0716814
"Riverside Church"	0.0709496
FleetCenter	0.0706882
"Bryant Park"	0.0700585
"World Trade Center"	0.0696555
"Public Theater"	0.0687261
Omni	0.0678096
"Turner Field"	0.0676577
"Mount Sinai Medical Center"	0.0676147
concert	0.0674719
"Reunion Arena"	0.067278
"Rockefeller University"	0.0666996
"Metropolitan Museum"	0.0666479
"Compaq Center"	0.0665719
"Royal Opera House"	0.0658757
"Giants Stadium"	0.0657838
"Wembley Stadium"	0.0656539
"Lincoln Memorial"	0.0652589
"Busch Stadium"	0.065001
"Juilliard School"	0.064822
"Dodger Stadium"	0.0645614
"Council on Foreign Relations"	0.063738
"Texas Motor Speedway"	0.0637326
"Foxboro Stadium"	0.0623037
"Great Hall"	0.061966
"Tiger Stadium"	0.0617853
"Valley Ranch"	0.0611903
"Tiananmen Square"	0.0610649
Fenway	0.0608923
"City Opera"	0.0608157
"American Dance Festival"	0.0602212
"Central Park"	0.0601911
"Sundance Film Festival"	0.0598738
Opry	0.0595446
"Melbourne Park"	0.0593322
"Fenway Park"	0.0592467
"Augusta National"	0.0590787
"Dartmouth College"	0.0590243
gala	0.0588633
"American Ballet Theater"	0.0585263
"Wrigley Field"	0.0584377
recital	0.0584327
"Grammy Awards"	0.058338
"Camden Yards"	0.0578237
"National Theater"	0.0576808
Coliseum	0.0574181
"American Jewish Committee"	0.0573777
"East Village"	0.0572881
"Jewish Museum"	0.0572872
"John F. Kennedy International Airport"	0.057263
Waldorf-Astoria	0.0569007
"Royal National Theater"	0.056885
Philharmonic	0.0568493
Sundance	0.0567093
"Walter Reade Theater"	0.0567077
"Bob Jones University"	0.0565775
"Times Square"	0.0560423
"Memorial Sloan-Kettering Cancer Center"	0.0559343
"Pebble Beach"	0.0558594
"Soldier Field"	0.0557928
"blue note"	0.0557186
"Staples Center"	0.0555196
"Kennedy Airport"	0.0554949
Cathedral	0.0553763
"Polo Grounds"	0.0551277
Joyce	0.0550212
nightclub	0.0549859
Shea	0.0546841
Astrodome	0.0546634
"Philips Arena"	0.0544119
"U.S. Soccer Federation"	0.0543025
"Saks Fifth Avenue"	0.0541109
Sotheby's	0.0539655
"Whitney Museum"	0.0537808
"St. Andrews"	0.0534086
"Lambeau Field"	0.0531762
"National Republican Congressional Committee"	0.0531346
"Greenwich Village"	0.0529935
"Roland Garros"	0.0525542
"Kennedy International Airport"	0.0523865
"Maple Leaf Gardens"	0.0522496
KeyArena	0.052179
Roxy	0.0517562
"New York Civil Liberties Union"	0.0515974
"Fordham University"	0.0513644
Meadowlands	0.0512765
"Lilith Fair"	0.0509878
"National Press Club"	0.0508341
"RFK Stadium"	0.0508319
"Sears Point"	0.0507631
"United Center"	0.0507356
Broadway	0.0506905
Longwood	0.0504999
"Olympic Stadium"	0.0504604
"school of music"	0.0504031
"Anti-Defamation League"	0.0499303
"Delta Center"	0.0497178
"Veterans Stadium"	0.0496738
"New York City Ballet"	0.0496626
"City College"	0.0495631
"Market Square Arena"	0.0494716
"Memorial Stadium"	0.0494676
"Jacobs Field"	0.0493167
"National Gallery"	0.049194
NARAL	0.0491437
"Eighth National Games"	0.0489432
"Longwood Cricket Club"	0.048902
"Cuban American National Foundation"	0.048656
"Belmont Park"	0.0483564
SFC	0.0478996
"Fifth Avenue"	0.0475533
multiplex	0.0475162
"Thermo Electron"	0.0474864
"Miami Arena"	0.047434
Whitney	0.047321
Carnegie	0.0471917
"Fiesta Bowl"	0.0471335
"auction house"	0.0470187
"city hall"	0.0469945
"Bob Jones"	0.0469399
"America West Arena"	0.0468503
amphitheater	0.0468492
"chamber music"	0.0468144
"Charlotte Motor Speedway"	0.0464477
"Pennsylvania Station"	0.0464217
matinee	0.0463721
Kingdome	0.046307
"La Guardia Airport"	0.0462386
conservatory	0.046202
Christie's	0.0459294
ASO	0.0459161
academy	0.0456663
Grammys	0.0456322
"Union Station"	0.045581
Harlem	0.0454546
Guggenheim	0.0453513
"Sahalee Country Club"	0.0452338
"Santa Anita"	0.0451887
"Pauley Pavilion"	0.0451758
"Guggenheim Museum"	0.0451635
"Statue of Liberty"	0.0450597
"Asia Society"	0.0450499
Pinehurst	0.0446737
"Families USA"	0.0446288
Pacifica	0.0445156
Augusta	0.0445082
PBS	0.0444681
"National Tennis Center"	0.0444274
"Lincoln Center Theater"	0.0444196
"Penn Station"	0.0443991
"Ballet Theater"	0.0442467
Fillmore	0.044231
))
("Carnegie Mellon University" (desc 2718.42) (sims
"Brandeis University"	0.211052
"Massachusetts Institute of Technology"	0.203039
"University of Maryland"	0.188131
"Hebrew University"	0.183939
"Rutgers University"	0.18144
"University of Chicago"	0.181014
"Stanford University"	0.177682
"Colorado State University"	0.177089
"North Carolina State University"	0.175126
"Cornell University"	0.174696
"Princeton University"	0.172133
"University of Michigan"	0.169602
"George Washington University"	0.165908
"Harvard School of Public Health"	0.16547
"University of Toronto"	0.165118
"Yale university"	0.164228
"Emory University"	0.161277
"Washington State University"	0.160097
"University of Wisconsin"	0.158363
"Temple University"	0.153594
"University of California"	0.152408
"Purdue University"	0.151926
"Northwestern University"	0.15119
"University of Rochester"	0.149653
"Kansas State University"	0.149613
"McGill University"	0.14952
"Northeastern University"	0.148192
"University of Illinois"	0.145925
"University of Southern California"	0.145464
"University of Iowa"	0.14544
"University of Hawaii"	0.145188
"University of Pennsylvania"	0.14512
"Smith College"	0.144203
"Florida State University"	0.143891
"New York University"	0.143135
"Ohio State University"	0.142316
"Harvard Law School"	0.141073
"Columbia University"	0.140889
"London School of Economics"	0.136268
"Harvard Business School"	0.136202
"Georgetown University"	0.135616
"Rice University"	0.13548
"University of New Mexico"	0.135413
"University of Oregon"	0.132959
"San Francisco State University"	0.132331
MIT	0.132022
"Washington University"	0.129973
"University of Virginia"	0.128505
"University of Cincinnati"	0.12731
"Iowa State University"	0.126237
"Brigham Young University"	0.125893
"Brown University"	0.124895
"Harvard University"	0.124403
"University of Colorado"	0.124222
"Georgia State University"	0.124114
"Michigan State University"	0.123961
"UC Berkeley"	0.123253
"University of Washington"	0.122013
"Harvard Medical School"	0.121908
"University of Kansas"	0.121295
"Arizona State University"	0.120709
"University of Massachusetts"	0.120322
"Johns Hopkins University"	0.119901
"University of Florida"	0.118801
"University of Minnesota"	0.117493
"Rockefeller University"	0.11664
"University of Utah"	0.115557
"Indiana University"	0.115534
"University of Notre Dame"	0.115328
"Duke University"	0.115198
"American University"	0.115101
"Auburn University"	0.114573
"Boston University"	0.113707
"University of Missouri"	0.112435
"Wake Forest University"	0.112284
"University of Texas"	0.112178
"University of Arkansas"	0.112157
"University of Tennessee"	0.111287
"Yale Law School"	0.110889
"Fordham University"	0.110222
"Vanderbilt University"	0.110101
"State University of New York"	0.110041
"George Mason University"	0.109462
"Queens College"	0.109379
"California Institute of Technology"	0.10839
Brandeis	0.108293
"University of Houston"	0.106864
"University of Kentucky"	0.105881
"Syracuse University"	0.104972
"University of Arizona"	0.103382
"Peking University"	0.100142
"Tufts University"	0.099462
Yale	0.0988966
"Wharton School"	0.0988489
"Urban Institute"	0.098577
"University of Georgia"	0.0970964
"Texas Christian University"	0.0970185
"California State University"	0.0969918
"University of Hong Kong"	0.096937
"Oxford University"	0.0962411
"Hunter College"	0.0954217
"University of New Hampshire"	0.0949307
"Cooper Union"	0.0940707
"Pennsylvania State University"	0.0937099
"University of Oklahoma"	0.0935078
"Baylor College of Medicine"	0.0924501
"University of Miami"	0.0921277
"Wesleyan University"	0.0914887
"Baylor University"	0.0913314
"Louisiana State University"	0.0882337
"Barnard College"	0.0877533
"Southern Methodist University"	0.0876553
"University of Zimbabwe"	0.0875195
"Wright State University"	0.0872997
"Cambridge University"	0.0872456
"University of Nebraska"	0.0870716
Cornell	0.0852459
"University of North Carolina"	0.0846924
"Massachusetts General Hospital"	0.0846828
"Dartmouth College"	0.0836621
"Catholic University"	0.0834601
"University of Pittsburgh"	0.0832276
"University of South Carolina"	0.0831773
"Kennedy School of Government"	0.0831098
"Howard University"	0.0827266
Princeton	0.0824085
"Nanjing University"	0.0821195
"School of Public Health"	0.0813653
"John F. Kennedy School of Government"	0.0811912
"Amherst College"	0.0794187
"Johns Hopkins"	0.0787692
"school of medicine"	0.0785788
"Wright-Patterson Air Force Base"	0.0782236
"Beijing University"	0.0782089
"Bell Labs"	0.0772051
"Hofstra University"	0.0767651
"Graduate School of Business"	0.0766868
"University of Alabama"	0.0766428
"Florida International University"	0.0764337
"school of law"	0.0752307
"Mercy Hospital"	0.0745973
Emory	0.073969
"Williams College"	0.0739024
"Lawrence Livermore National Laboratory"	0.0736793
"City College"	0.0727896
Berkeley	0.0724488
"Media Lab"	0.0722034
"University of Connecticut"	0.0721095
"University of Nevada"	0.0717928
"University of Dayton"	0.0712233
"Kennedy School"	0.0711557
"Fudan University"	0.070723
"biological science"	0.0705682
"Qinghua University"	0.0702966
"Texas Tech University"	0.0687003
"business school"	0.0667619
"University of Rhode Island"	0.0666348
"medical school"	0.0655431
geophysics	0.0652501
Dartmouth	0.0638408
"Chinese Academy of Social Sciences"	0.0638387
"Juilliard School"	0.0619799
"Dana-Farber Cancer Institute"	0.0614569
"Brookings Institution"	0.0607884
"teachers college"	0.0601997
"U.S. Naval Academy"	0.0601199
"Johnson Space Center"	0.0601062
"chemical engineering"	0.0598673
"Trinity College"	0.058759
"City University of New York"	0.0573352
CalTech	0.0572037
pharmacology	0.0569098
"Jet Propulsion Laboratory"	0.0567627
"Seton Hall University"	0.0556851
"Cleveland Clinic"	0.0555051
"city university"	0.055419
"University of Maine"	0.0548168
criminology	0.0546121
"Rivers Stadium"	0.0545668
"Mount Sinai Medical Center"	0.05448
"Chinese University of Hong Kong"	0.0544467
"National Autonomous University of Mexico"	0.0543774
"University of Mississippi"	0.0542698
neurology	0.054215
"Tehran University"	0.0539558
DRI	0.0538686
"Carnegie Endowment"	0.0537518
"RAND Corp."	0.0533971
ophthalmology	0.0529944
"mechanical engineering"	0.0526381
Sorbonne	0.0525717
Oakmont	0.0524716
"National Institutes of Health"	0.0521778
seminary	0.0520173
"Development Research Center"	0.0519194
"Bell Laboratories"	0.0516317
"Simon Wiesenthal Center"	0.0511576
"Mount Sinai Hospital"	0.0510353
"Makerere University"	0.0506455
NYU	0.0505815
))
(Carney (desc 1858.93) (sims
Elam	0.144835
Jacke	0.144551
Tocchet	0.136827
Vinatieri	0.114504
"Adam Vinatieri"	0.112026
"Morten Andersen"	0.11162
Janikowski	0.105602
"Sebastian Janikowski"	0.100735
Tanui	0.0957405
Seizinger	0.0928546
"John Hall"	0.0887459
Greenwald	0.0876704
Tverdovsky	0.0860632
Boardman	0.0859384
Gardiner	0.0811706
Andersen	0.0763311
Longo	0.0763194
"Jason Elam"	0.0750592
Zou	0.0750174
Ikeda	0.0739045
McNamara	0.0738114
Sainz	0.0732254
Katsav	0.0727517
Maier	0.072725
Peretz	0.0720416
Szabo	0.0719021
Pickering	0.0715595
Camdessus	0.0712136
Khabibulin	0.0711907
Hybl	0.0705637
Roenick	0.0705331
Luyendyk	0.0702266
Nujoma	0.0702122
Dawson	0.0697776
Wiberg	0.0697432
D'Alessandro	0.0696367
Yadav	0.069572
"El Guerrouj"	0.069147
Rau	0.0690766
Peterson	0.0689058
Heyns	0.0685255
Rong	0.0682525
Zanardi	0.0681631
mare	0.0680416
Mustafa	0.0679252
Ikimi	0.0678778
Zuelle	0.0675258
Doohan	0.0675078
Finkel	0.0671943
Makinen	0.0667501
Scharping	0.0655538
Tsang	0.0653712
LU	0.0648824
Meissnitzer	0.064833
Mkapa	0.0645991
Sautin	0.0644116
Hightower	0.0643513
Hao	0.0643436
Gartner	0.0643231
Conway	0.0643185
Skiles	0.064117
Stoyanov	0.0640281
Nzo	0.0637532
Nickerson	0.0637474
Contreras	0.0632704
Olano	0.0631446
Cui	0.0629218
"Dallas Drake"	0.0628331
Montiel	0.0627756
Rossi	0.0625691
Bolger	0.0625439
Kasoulides	0.0624616
Hanley	0.0623989
Jaffe	0.0623579
Jalabert	0.062332
Villeneuve	0.0622443
Edelman	0.062236
Nasrallah	0.0618496
Pantani	0.0617203
Sheehan	0.0617112
Waite	0.0616651
Iglesias	0.0616282
Cowan	0.0615148
Moeller	0.061496
Rasmussen	0.0614576
Beckenbauer	0.0613075
Siegel	0.061284
Ottey	0.0610938
Chastain	0.0608746
Rusch	0.0608406
Sorensen	0.0606316
Ruehe	0.060572
estes	0.0605233
McLaughlin	0.0603555
"Jeremy Roenick"	0.0602765
Donato	0.0602699
Camacho	0.0602205
Rodionov	0.0601054
Faldo	0.0599268
Tomba	0.059904
Nemtsov	0.0598457
Talebi	0.0597993
Brittan	0.0596807
Zheng	0.059679
Nugent	0.0591393
Fernandes	0.0590972
Sheng	0.0590593
Barrett	0.0590563
Pippig	0.0589083
Goode	0.0588024
Gurirab	0.0586066
Blackwell	0.0585512
Kornberg	0.0584507
Tarawneh	0.0583775
Lim	0.0583021
Yastrzhembsky	0.0582636
Atwood	0.0581498
Weisman	0.058136
LeBlanc	0.0579956
Wadsworth	0.057917
Kjus	0.0576877
Vasile	0.0572551
Behr	0.0572537
Andretti	0.0572503
Setzer	0.0572144
Gillespie	0.0571558
Rollins	0.0570928
Jonah	0.05701
Sharma	0.056813
Midler	0.0567384
singleton	0.056711
Weinberg	0.0567036
Montoya	0.056673
Coen	0.0566644
TALBOT	0.0564365
Roba	0.0563032
Hayworth	0.0562638
Chissano	0.0561623
Andrade	0.0561527
COYNE	0.0560403
Christie	0.0560084
Wong	0.0559348
Khannouchi	0.0557136
Hodler	0.0556016
Layden	0.055588
Aoki	0.0555265
Zeroual	0.0555211
Groscost	0.0554837
Baumann	0.0554409
Xiong	0.0553803
Waltrip	0.0553156
Tkachuk	0.0552956
Jenkins	0.0552683
Hickman	0.0551474
Richey	0.0551353
Stahl	0.0550711
"Earnhardt Jr."	0.0550665
Yang	0.0549847
Bergeron	0.0549431
Velayati	0.0549169
Stockton	0.0547564
Eizenstat	0.0547476
Nazarbayev	0.0545964
Naumann	0.0542783
Segal	0.054275
Hahn	0.0542204
Devers	0.0540326
Pollack	0.0540258
Swann	0.0539296
Cianci	0.0538904
Mikhailov	0.0538401
Jager	0.0538062
Knievel	0.0537018
Bartoli	0.0536761
two-point	0.053675
Sampaio	0.0535994
Fernandez	0.053598
Seleznyov	0.0535969
Xiao	0.0535835
Tsvangirai	0.0535216
O'Neil	0.0535121
Beazley	0.0532773
Sahnoun	0.0532672
Dragila	0.0532536
guo	0.0531811
Tanaka	0.0531475
Whyte	0.0530434
Drury	0.0530419
McGovern	0.0530103
Morse	0.0529915
Hiett	0.0529873
Zeng	0.0529805
Zuckerman	0.0529465
"Billy Boat"	0.0527952
Qu	0.0527473
Boldon	0.0526977
Whiting	0.0526854
craven	0.0526317
Rosenthal	0.0525536
Teresi	0.0524574
))
(Carnival (desc 27508.6) (sims
festival	0.10761
gala	0.0975146
parade	0.0919015
"Royal Caribbean"	0.0904487
"Mardi Gras"	0.0886414
fair	0.08793
celebration	0.0854546
concert	0.0833176
circus	0.0832019
pageant	0.0825771
Exhibition	0.0795732
festivity	0.0795607
"art exhibition"	0.0776239
Oktoberfest	0.0755817
dance	0.0742234
"theatrical performance"	0.0742137
rodeo	0.0738014
"amusement park"	0.0736049
"theme park"	0.0723127
bash	0.0720692
"wedding ceremony"	0.0717174
Exposition	0.0710242
extravaganza	0.0705938
picnic	0.0699839
symposium	0.067769
holiday	0.0673345
firework	0.0666962
fiesta	0.0660118
gathering	0.0658844
"rock concert"	0.0647241
ceremony	0.0620683
wedding	0.0618166
Halloween	0.061102
seminar	0.0605097
banquet	0.060326
exhibit	0.0603003
contest	0.0598865
"Lunar New Year"	0.059506
Entertainment	0.0592324
reunion	0.0589787
commemoration	0.0587976
cookout	0.0575264
"summer camp"	0.0574749
demonstration	0.0574742
"Chinese New Year"	0.0571835
"Independence Day"	0.0564635
workshop	0.0563593
barbecue	0.0561091
auction	0.05607
"church service"	0.0546617
"open house"	0.0546429
sideshow	0.0546425
roadshow	0.0536611
procession	0.0534528
convention	0.0533468
conference	0.0533349
soiree	0.0525593
"religious ceremony"	0.0525109
frenzy	0.0521793
"flea market"	0.0518847
free-for-all	0.0517866
lecture	0.0517533
forum	0.0516908
dinner	0.0515525
theater	0.051419
spectacle	0.0513411
vigil	0.0510867
bonfire	0.0503699
"Spring Festival"	0.050211
tasting	0.0496438
Expo	0.049356
museum	0.0493401
"Fourth of July"	0.0493262
bazaar	0.0488863
opera	0.0486709
"pep rally"	0.0486123
playground	0.0485174
nightclub	0.0484603
vacation	0.0483603
funeral	0.0482535
summit	0.0475947
"New Year"	0.0474977
feast	0.0474583
disco	0.0473403
"shopping mall"	0.0471668
sickout	0.0471535
recital	0.047101
homecoming	0.0470245
marathon	0.046399
"cocktail party"	0.0463347
prom	0.0460668
Disneyland	0.0459237
jubilee	0.0457515
"puppet show"	0.0457421
Disney	0.0456882
"war game"	0.0456708
resort	0.0456705
ritual	0.0455149
"summit meeting"	0.0453275
"New Year's eve"	0.0452401
"three-day event"	0.0451526
sit-in	0.0448249
cabaret	0.0446562
"Disney World"	0.0441368
"World Cup"	0.0441283
"rock 'n' roll"	0.04409
"National Day"	0.0440772
dancing	0.0440377
garden	0.0439505
zoo	0.0439333
"folk art"	0.0436784
"dinner party"	0.0432836
"ASEAN Ministerial Meeting"	0.0431996
excursion	0.0431491
luncheon	0.0431307
ballet	0.0427327
attraction	0.0425841
"panel discussion"	0.0422918
observance	0.0422533
"town meeting"	0.0422381
arts	0.0421267
Jazz	0.042111
vaudeville	0.042106
reception	0.0421024
craft	0.0420696
reunions	0.0420507
comedy	0.0420366
"Commonwealth Games"	0.0420255
inauguration	0.0419494
Casino	0.0419343
Easter	0.0418646
drama	0.0418366
Woodstock	0.0417099
renaissance	0.0416848
"variety show"	0.0416504
fund-raiser	0.0415884
mall	0.0414774
lantern	0.0414375
"committee meeting"	0.0413807
folklore	0.0413601
"Labor Day"	0.0413391
samba	0.0413114
"roller coaster"	0.0412222
Christmas	0.0411707
emporium	0.0410821
"brass band"	0.04101
"Millennium Summit"	0.0408958
regatta	0.0407141
revival	0.0406511
anniversary	0.0406332
presentation	0.0405716
rave	0.0405674
"auction house"	0.0405389
millennium	0.0403536
"holiday season"	0.0401194
))
(carnivore (desc 3904.81) (sims
filtering	0.0867861
"Palm VII"	0.0858173
"local area network"	0.0827626
Filtration	0.0786011
videophone	0.077302
identifier	0.0761743
SDH	0.0759548
"surveillance system"	0.0728944
"Love Bug"	0.0712485
GPS	0.0710864
ultrasound	0.0708588
"Windows CE"	0.069631
"solar power"	0.0695915
E-ZPass	0.0689209
Hotmail	0.0677398
avionics	0.0675619
"computer language"	0.0669328
"Windows NT"	0.0652233
defibrillator	0.0647199
"chemical compound"	0.0637258
supercomputer	0.0635772
defoliant	0.0635098
"point system"	0.0632945
"night vision"	0.0630969
Encryption	0.0629855
NMD	0.0629186
sonar	0.0621805
UNAMSIL	0.0615782
"caller ID"	0.0613387
mammography	0.0610149
"fire control"	0.0607513
"communicable disease"	0.0597226
imaging	0.0593962
"radio telescope"	0.0593417
TMD	0.0591994
"slush fund"	0.0590788
sensing	0.0588175
"software system"	0.0587452
GSM	0.0587268
"closed circuit"	0.0583234
"solar energy"	0.058316
Gnutella	0.0582266
DSL	0.0580001
microbe	0.0579007
"pipe organ"	0.0574546
metropolises	0.0573955
stents	0.0573585
desalination	0.057349
Solaris	0.0572618
mainframe	0.0562332
hand-held	0.0562208
telemedicine	0.0561936
CDMA	0.056022
THAAD	0.0558908
"Agenda @@@@"	0.0556029
phonics	0.0555972
"Outlook Express"	0.0549867
"radio frequency"	0.0546827
BoT	0.0546808
"software package"	0.0546461
"mainframe computer"	0.0545064
"global positioning system"	0.0544674
BLUETOOTH	0.0542931
"wireless telephone"	0.0541725
emulator	0.0540769
"chemical agent"	0.054015
"electronic warfare"	0.0532216
MP@	0.0531352
playback	0.0531028
"electrical device"	0.0529462
V-chip	0.0528997
"Windows @.@"	0.0528992
Ribbeck	0.0527648
WebTV	0.0527288
"computer program"	0.0525864
"transfer payment"	0.0521089
ECNs	0.0518378
"magnetic resonance imaging"	0.051572
FireWire	0.0513999
Win@@	0.0513306
"Windows @@@@"	0.0510134
maquiladoras	0.0509571
Robot	0.0508934
mammal	0.0507926
Unix	0.0505955
microcomputer	0.0505165
"Trojan Horse"	0.0504521
antihistamine	0.0504336
ERISA	0.0504218
"National Missile Defense"	0.0502042
emulation	0.0501987
"margin call"	0.0501874
"coaxial cable"	0.0501834
"computer network"	0.0500682
Ritalin	0.0500193
"toy retailer"	0.0498519
nevirapine	0.0496684
converter	0.0493562
ReplayTV	0.0493033
"data processing"	0.0490923
CAD	0.0490845
"tire maker"	0.0490423
chaebol	0.0488294
Dreamcast	0.0487897
"Windows Media Player"	0.048726
"data communication"	0.048644
"body of water"	0.0485956
"telephone network"	0.0485942
"electronic surveillance"	0.0485586
generics	0.0484663
"cut of meat"	0.048412
"nursing care"	0.0482387
Teledesic	0.0481567
analogue	0.0481488
neurotransmitter	0.0481227
Apaches	0.0479985
RSA	0.0479679
Webcam	0.0479495
suction	0.0479443
"ultraviolet light"	0.0479278
"sewage disposal"	0.0478166
"public transit"	0.047646
"catalytic converter"	0.0476137
Stratus	0.0474151
onboard	0.0472048
DIVX	0.0471506
"black box"	0.0469583
fingerprinting	0.0468808
personalization	0.0467625
"memory chip"	0.0466987
"mechanical device"	0.0466441
PDA	0.046611
"weather forecasting"	0.0463942
multimedia	0.0463089
"jet engine"	0.0462422
transcription	0.0462128
"application program"	0.0461714
countermeasure	0.0461674
password	0.0460689
purification	0.0460517
scalpel	0.0459949
fibroids	0.0459474
router	0.0458227
S-@@@	0.045657
"hard drug"	0.0456377
NSP	0.0455869
"free radical"	0.0455256
Cyrix	0.0454586
"computer application"	0.0453881
"electronic communication"	0.0453771
"big spender"	0.0453575
"spy satellite"	0.045286
"fuel cell"	0.0452437
"container ship"	0.0452367
"artificial heart"	0.0451552
CE	0.0450088
algorithm	0.0449568
crematorium	0.044955
brownfields	0.0448603
refrigeration	0.0447434
mem	0.0446779
crustacean	0.0446677
"Antiquities Act"	0.0445352
CFCs	0.0444872
"coal gas"	0.0444782
automation	0.0444291
"artificial intelligence"	0.0443976
signaling	0.044389
HTML	0.044278
MDMA	0.0441657
"Tyrannosaurus rex"	0.0441231
Norplant	0.0441082
"bar code"	0.0440879
spaceflight	0.0440768
AWACS	0.044044
spider	0.044039
"Self-Defense Forces"	0.0439545
scanner	0.0438982
"test data"	0.0438008
amplification	0.0437132
"sea bird"	0.0436337
"communications technology"	0.0435598
ADSL	0.0435475
"bird of prey"	0.0433719
derivative	0.0433462
networking	0.0432914
"electric power"	0.0432694
NSA	0.0432669
Dinosaur	0.0432263
"septic tank"	0.043141
webcams	0.0430671
hominid	0.0430587
transponder	0.0430494
Demutualization	0.0429475
"futures exchange"	0.0428272
"X-ray machine"	0.0428034
in-house	0.04278
detector	0.0426211
"optical fiber"	0.0425642
polymer	0.0425541
))
(Carnoustie (desc 6301.93) (sims
"Royal Birkdale"	0.253163
"St. Andrews"	0.202049
Pinehurst	0.175668
Sahalee	0.175119
"Pebble Beach"	0.167419
"Olympic Club"	0.157334
Valhalla	0.15328
"Augusta National"	0.145598
"Sahalee Country Club"	0.139726
"Pinehurst No. @"	0.137643
Riviera	0.129668
Augusta	0.12823
"East Lake"	0.126921
"Bay Hill"	0.116298
"country club"	0.114103
"Old Course"	0.113326
"Riviera Country Club"	0.109863
Medinah	0.108406
"Pleasant Valley"	0.106716
"Memorial Tournament"	0.1042
par-@@	0.103288
Belfry	0.103172
"Loch Lomond"	0.102737
TPC	0.102225
"Western Open"	0.0956092
"U.S. Open"	0.0937301
"LA COSTA"	0.089845
"Augusta National Golf Club"	0.0891727
"British Open"	0.0879254
"RCA Dome"	0.0862061
Olympic	0.0856637
"Roland Garros"	0.0815682
"Candlestick Park"	0.0795362
Masters	0.0786253
Spyglass	0.0765839
"Qualcomm Stadium"	0.0755153
Colonial	0.0754801
Valderrama	0.0752861
Longwood	0.0744912
"Players Championship"	0.0734345
"Joe Louis Arena"	0.0685296
Wembley	0.06658
Pir	0.0656549
"Comiskey Park"	0.0640005
"Wrigley Field"	0.0637436
Eastbourne	0.0636614
"Melbourne Park"	0.063011
pebble	0.0624011
"Continental Airlines Arena"	0.0621627
"Pan Am Games"	0.0617865
"America West Arena"	0.061515
NHIS	0.0612676
"US Open"	0.0612356
Doral	0.0610463
Vail	0.0606331
Wimbledon	0.0593827
Martinsville	0.0591901
"PGA Championship"	0.0586508
"Jacobs Field"	0.0585307
"First Union Center"	0.0581597
"Millrose Games"	0.0575788
"Stade Velodrome"	0.0574376
par-@	0.0573706
Brickyard	0.0573145
Meadowlands	0.0569162
"Michigan Speedway"	0.0567908
"Indianapolis Motor Speedway"	0.0565709
"Santa Anita"	0.0564859
"Barcelona Games"	0.0564158
"Delta Center"	0.0554118
"Mastercard Colonial"	0.0547227
"Old Trafford"	0.0546589
"Shea Stadium"	0.0544272
"East Asian Games"	0.0543606
Fenway	0.0542767
"Reunion Arena"	0.0541363
"Conseco Fieldhouse"	0.0537327
"Kyle Field"	0.0533034
"Compaq Center"	0.0532668
Metrodome	0.0532621
Alamodome	0.0529007
"Georgia Dome"	0.0527664
"Foxboro Stadium"	0.0524665
"Madison Square Garden"	0.0523202
Indy	0.0520882
"Dodger Stadium"	0.0519187
Aachen	0.0512727
"Champions Golf Club"	0.0512247
"Glasgow Rangers"	0.0509208
sawgrass	0.0506782
"Watkins Glen"	0.0505247
"Tropicana Field"	0.0504588
"Lambeau Field"	0.0504362
"Mile High Stadium"	0.0504251
Saratoga	0.049907
"Fenway Park"	0.0496456
KeyArena	0.0495406
"British Opens"	0.0495368
Pocono	0.0494651
"Yankee Stadium"	0.0494427
"Churchill Downs"	0.0489389
"Stamford Bridge"	0.0489002
"Lake Placid"	0.0488888
"Southwest Missouri State"	0.0488461
"French Open"	0.0487574
"World Table Tennis Championships"	0.0481562
"Rose Bowl"	0.0480079
"National Tennis Center"	0.0477713
"Arrowhead Stadium"	0.0477068
Shepherdstown	0.0477034
FleetCenter	0.0476012
Auburn	0.0475913
"Turner Field"	0.0474237
"Flushing Meadows"	0.047271
"Indian Wells"	0.0470522
PGA	0.0470408
"Park City"	0.0470361
Aberdeen	0.0467249
"Texas Stadium"	0.0465929
Glasgow	0.0463818
"RFK Stadium"	0.0462826
BYU	0.0460951
Bormio	0.0459826
Jonestown	0.0458155
"Longwood Cricket Club"	0.0457766
"Giants Stadium"	0.0456533
"Pauley Pavilion"	0.0453898
"Pikes Peak"	0.0451401
"Texas Motor Speedway"	0.0450773
"Ben-Gurion Airport"	0.0449155
"Nissan Open"	0.0447907
"Pro Player Stadium"	0.0445666
"Lincoln Center Festival"	0.0444103
TM	0.0444017
Oakmont	0.0443453
"New York Film Festival"	0.0442542
"Southeast Asian Games"	0.0441965
PALERMO	0.0441904
"Phoenix Open"	0.0441893
"BellSouth Classic"	0.0441762
Lockerbie	0.0440986
Shea	0.0438103
"Marine Midland Arena"	0.0436519
Daytona	0.0436124
"World Athletics Championships"	0.0435156
"Kiel Center"	0.0432365
"Italian Open"	0.0431801
Gdansk	0.0431708
Astrodome	0.043131
cottonwood	0.0429481
"Hollywood Park"	0.0429015
"about @:@@"	0.0428358
"PGA Championships"	0.0426779
"Veterans Stadium"	0.0423042
"Market Square Arena"	0.042164
"Louisiana State"	0.0421419
"Oak Hill"	0.0420165
"Olympic Winter Games"	0.0415661
"Sears Point"	0.0414576
"United States Open"	0.0411399
"Georgia Tech"	0.0409663
"Van de Velde"	0.0408371
"Wye Plantation"	0.040831
"Tour Championship"	0.0407287
MELBOURNE	0.0406649
Silverstone	0.0406488
Halle	0.0404769
"National Stadium"	0.0404178
SkyDome	0.0402477
"Eighth National Games"	0.0402366
))
(Carol (desc 9585.79) (sims
Eileen	0.137668
Patricia	0.12659
Tracey	0.126537
Kathleen	0.125555
Diane	0.124981
Kristin	0.12388
Vicki	0.1212
Sonia	0.120595
Brenda	0.119865
Suzanne	0.119684
Cindy	0.118697
Lynne	0.118019
Maureen	0.117239
Susan	0.116996
Cathy	0.116189
Denise	0.116118
"Amazing Grace"	0.114137
Pam	0.112121
Beverly	0.111296
"Azizah Ismail"	0.11027
Evelyn	0.11009
Lois	0.110086
Elaine	0.110058
Renee	0.109656
ANN	0.109584
JoAnne	0.109478
Margaret	0.109141
Pauline	0.10911
Peggy	0.108942
Jacqueline	0.108457
Kathy	0.107996
Debbie	0.107948
Stephanie	0.107521
Dorothy	0.107126
Jill	0.106526
Terri	0.106345
Josephine	0.104609
Helen	0.104493
Theresa	0.10396
"folk song"	0.10338
Dolores	0.101226
Linda	0.100817
Janet	0.100741
Phyllis	0.100377
Carolyn	0.0999146
Lisa	0.0999039
Doris	0.0998364
Cheryl	0.099572
Nancy	0.0993699
Julie	0.0992891
Deborah	0.0985423
Donna	0.0982156
Christine	0.0973661
Annie	0.0973076
Barbara	0.0969234
Michelle	0.0960194
Debra	0.0959823
becky	0.0950808
Olga	0.094235
Janice	0.0939889
colleen	0.0939309
Marilyn	0.0937942
Leah	0.0933338
Jane	0.0931158
Karen	0.0927462
gloria	0.0927184
Alice	0.0925795
Sally	0.0925337
alicia	0.0924227
Juanita	0.0922279
"Star-Spangled Banner"	0.0920815
Shirley	0.0917222
Rita	0.0911438
Teresa	0.0911359
Cherie	0.0910918
Andrea	0.090983
Millie	0.0907451
Marlene	0.090638
Marie	0.0899937
Rachel	0.0895989
Valerie	0.088946
Laura	0.0889263
"Queen Noor"	0.0886808
Judy	0.0883259
"Christmas carol"	0.0881047
Lydia	0.0880512
anna	0.0877731
Beth	0.0863139
Rebecca	0.0862029
Marcia	0.0860101
Sandra	0.0858159
Frances	0.0856521
Polly	0.0854745
Sylvia	0.0850006
Jennifer	0.0849069
Gail	0.084839
Edith	0.084812
Caroline	0.0846453
Jeanne	0.0845105
Toni	0.0842155
Liz	0.084097
Patti	0.0839045
Catherine	0.0835048
Marian	0.0834678
Hadassah	0.0831824
Nicole	0.0829686
Sara	0.0826182
Katie	0.0826016
Lullaby	0.0825448
Esther	0.082069
Olivia	0.0814789
Meg	0.081382
Eleanor	0.0811819
Audrey	0.0811753
Martha	0.0811544
Amy	0.0811408
Angela	0.0811109
Beatrice	0.0810416
Lynn	0.0810019
Sheila	0.0807627
Kathryn	0.080285
Shannon	0.080096
Betsy	0.0800883
Tipper	0.0797516
Louise	0.0794722
Judith	0.0793297
Mary	0.0791163
hymn	0.0790269
Cynthia	0.0789688
Betty	0.0783422
Norma	0.0783133
Lori	0.0782124
Sheryl	0.078187
Ellen	0.078021
Maria	0.0775212
Kimberly	0.0772492
Jackie	0.0769189
hazel	0.0768025
Nina	0.0766333
Lucia	0.075726
Lucille	0.0755087
Lucy	0.0753851
Marianne	0.0750951
Christina	0.0748411
Alexandra	0.0748027
Monique	0.0747996
Melinda	0.0745437
"national anthem"	0.0742614
Emily	0.0741031
"Graca Machel"	0.0736944
Laurie	0.0736755
Julia	0.0735839
Anne	0.0733738
Sarah	0.0732517
Irene	0.0732359
Leslie	0.0729145
Naomi	0.072633
Joan	0.0721863
Clara	0.0718814
Nora	0.071701
Michele	0.0715611
Mimi	0.0715136
Marta	0.0707503
Miriam	0.0701345
Lou	0.0697655
Camille	0.0695454
Connie	0.0693688
Meredith	0.069288
Irina	0.0692588
jingle	0.0687861
Tina	0.0687127
Kate	0.0686412
Stella	0.0684161
Sophie	0.0681406
Mona	0.0681397
Pamela	0.0680896
Ashley	0.0677613
Vera	0.0676559
Claire	0.0676001
Anita	0.0674067
Fran	0.0670311
"Carolyn Bessette Kennedy"	0.0667691
Heidi	0.066719
Katherine	0.0665412
Roberta	0.0665001
Colette	0.0663718
Wanda	0.0658534
Claudia	0.0658121
Danielle	0.0656683
Rhonda	0.0656473
Robin	0.0655885
Agnes	0.0650325
fiancee	0.0649434
"Coretta Scott King"	0.0646454
Erin	0.0644978
Brooke	0.0643474
Natalie	0.0642082
Jerry	0.0638676
Melanie	0.0637225
Elizabeth	0.0635708
))
("Carol Bellamy" (desc 1329.12) (sims
"Billy Hunter"	0.268793
"Ralph Reed"	0.17895
"Michel Camdessus"	0.17267
"George Tenet"	0.148031
"Gro Harlem Brundtland"	0.148001
"Bruce Teitelbaum"	0.147834
"John Weaver"	0.142407
"Xie Zhenhua"	0.140694
Meguid	0.138026
Jayakumar	0.135583
"Billy Payne"	0.133101
Jovanovic	0.130165
"Charles LaBella"	0.128101
"Sadako Ogata"	0.12683
"Renato Ruggiero"	0.125898
"Barry McCaffrey"	0.124377
"Secretary General Esmat Abdul-Meguid"	0.12212
Zou	0.121531
"Dan Schnur"	0.121193
"Joel Klein"	0.121179
"Barry R. McCaffrey"	0.11793
Prewitt	0.117125
Ikimi	0.116179
"Mike Moore"	0.113928
"Jack Valenti"	0.113476
"Ronnie Flanagan"	0.109562
"Richie Phillips"	0.109492
"de Charette"	0.108128
Wolfensohn	0.108061
"Wayne LaPierre"	0.107772
Sumaye	0.106438
"William Walker"	0.106044
"Karen Hughes"	0.105577
"Louis Freeh"	0.101865
"Gary Johnson"	0.101637
Abdel-Meguid	0.101174
"Tom Welch"	0.100766
Rong	0.100682
wen	0.100509
"Hans Blix"	0.100345
"Esmat Abdel Meguid"	0.0999361
"Sandy Alderson"	0.0994644
Mahdi	0.0987376
Muoi	0.0982689
"Zhou Nan"	0.0980301
"Danny Yatom"	0.0978981
"Bernard Kouchner"	0.0977627
Bruton	0.0972628
Kasoulides	0.0968577
Ogata	0.0949386
Iglesias	0.0947625
Zeng	0.093934
"Le Kha Phieu"	0.0937032
Velayati	0.0931413
"John Taylor"	0.0925681
"Richard Butler"	0.0925132
Shamshad	0.0921752
Stoyanov	0.0909559
Chissano	0.090745
al-Sahaf	0.0905885
Komura	0.0905412
"Boris Fyodorov"	0.0901529
Surin	0.0896063
"Mitt Romney"	0.08817
Azad	0.0873694
"Gene Sperling"	0.0871344
Rifkind	0.0869158
Jia	0.0865039
"United Nations Children's Fund"	0.0861401
"Dick Pound"	0.0857793
"Lee Hsien Loong"	0.0849837
Schaffer	0.0848047
"Mary Robinson"	0.0847726
"Colin Campbell"	0.0847214
Diouf	0.0841214
"Qin Huasun"	0.0840569
"United Nations Population Fund"	0.0840389
Moratinos	0.0836335
Khai	0.083432
"Sepp Blatter"	0.0833131
Xiang	0.0831734
Strauss-Kahn	0.0831516
"Fayez Tarawneh"	0.0829633
Luong	0.082435
Wilhelm	0.0822773
"John Browne"	0.0813899
Mkapa	0.0794453
Brittan	0.0792856
"Xanana Gusmao"	0.0775993
Salim	0.0766636
Brundtland	0.076189
"Vladimiro Montesinos"	0.0755706
Mustafa	0.0750946
"David Smith"	0.0750786
Malu	0.0748872
Juma	0.0746721
"John Anderson"	0.0744922
Kabariti	0.0743303
Piot	0.0742607
Nzo	0.0738444
Granic	0.0736036
"Rolf Ekeus"	0.0735977
"Vladislav Jovanovic"	0.0733641
"Stanley Fischer"	0.0733589
Constantinescu	0.0731387
LeBlanc	0.0730136
"Dwight Clark"	0.0726828
"Rod Thorn"	0.0724429
Pustovoitenko	0.0723742
"Hashim Thaci"	0.0723084
Klima	0.0721854
"Secretary-General Boutros Boutros-Ghali"	0.0721705
"Wim Duisenberg"	0.0720309
Scalfaro	0.0719999
Narayanan	0.0716681
al-Sahhaf	0.0715764
"Bernie Ecclestone"	0.0715484
Baz	0.0714384
Rodionov	0.0713678
"Hans von Sponeck"	0.0708653
"Salim Ahmed Salim"	0.0703161
"Vladimir Yakovlev"	0.07021
Kyprianou	0.0701209
Kostov	0.0699392
Majali	0.0697364
Dodik	0.0695991
UNFPA	0.069209
Alatas	0.0689377
"George Robertson"	0.0685525
Luo	0.0684676
Majko	0.0684335
Nazarbayev	0.0682854
"Shaul Mofaz"	0.0682517
"Jose Serrano"	0.0682352
"Jacques Rogge"	0.0682142
Tarawneh	0.0680739
"Minister Shlomo Ben-Ami"	0.0678133
Lipponen	0.0676077
"Abu Mazen"	0.0675569
"Li Ruihuan"	0.0675198
McNamara	0.0674475
Dar	0.0674387
Leghari	0.0674013
Butterworth	0.0673641
Vice-Premier	0.067332
Indyk	0.0671921
Cavanaugh	0.0671671
Camdessus	0.0669516
Eliza	0.0667334
Westendorp	0.0667024
Dini	0.0664382
Rais	0.0664325
"Mike Murphy"	0.0663025
Shareh	0.0661337
"Dai Bingguo"	0.0655893
Donohue	0.065584
Ruggiero	0.0654774
Fleischer	0.0654507
Talebi	0.0653313
"Lakhdar Brahimi"	0.0653123
Bildt	0.0652131
"Thomas Mann"	0.0651503
"Jeremy Greenstock"	0.0651149
Axworthy	0.0650942
"Mahmoud Abbas"	0.0649106
Zuma	0.0648173
"John Lynch"	0.0648085
"Jiang Chunyun"	0.064744
Sahnoun	0.0645786
"Wu Yi"	0.0644414
Guan	0.0637442
"Faisal Husseini"	0.0637352
Juncker	0.0635536
Frei	0.0631536
Cem	0.0630859
"Speaker Ali Akbar Nateq-Nouri"	0.063074
"Richard C. Holbrooke"	0.0628654
"Tian Jiyun"	0.0628601
"George Miller"	0.0628541
Valenti	0.062832
Rawlings	0.0627406
Qian	0.0626942
Broek	0.0626869
Kumaratunga	0.0626489
Saleh	0.0626381
Portillo	0.0625879
"Ding Guangen"	0.0623608
Shi	0.0623584
Rawabdeh	0.0622301
D'Alessandro	0.0620589
Vollebaek	0.0619221
Akayev	0.0618645
Shaath	0.0617509
Ruehe	0.0616077
Milo	0.0615042
Qiao	0.061395
"Defense William Cohen"	0.0613915
Juppe	0.0610737
Grossman	0.0608928
"Boutros Boutros Ghali"	0.0607919
))
("Carol Burnett" (desc 1737.57) (sims
"Lily Tomlin"	0.144506
"Dame Judi Dench"	0.134352
"Barbra Streisand"	0.10954
"Alicia Silverstone"	0.106064
"Humphrey Bogart"	0.103923
"Diana Ross"	0.102424
"James Earl Jones"	0.0999215
"Quincy Jones"	0.098377
"Jack Lemmon"	0.0979094
"Judi Dench"	0.0967166
"Richard Dreyfuss"	0.0948854
"Whoopi Goldberg"	0.0911747
"Tina Turner"	0.08942
"Lauren Bacall"	0.084519
"Henry Fonda"	0.0842206
"Robert Downey Jr."	0.0840136
"Warren Beatty"	0.0839458
"Dan Aykroyd"	0.0834079
"Burt Lancaster"	0.0831822
"Wesley Snipes"	0.0827894
"Michael Bolton"	0.0827331
"Christopher Plummer"	0.0827024
"Milton Berle"	0.0811138
"Denzel Washington"	0.0803365
"Kirk Douglas"	0.0794233
"Kevin Spacey"	0.0786726
"Sidney Poitier"	0.0785473
"Bill Pullman"	0.077855
"Bette Midler"	0.076632
"Matthew McConaughey"	0.0757769
"Kenneth Branagh"	0.0751003
"Robin Williams"	0.0731849
"Mary Tyler Moore"	0.0730114
"Gregory Peck"	0.0726417
"Shirley MacLaine"	0.0722753
"Rob Lowe"	0.0714764
"Tracey Ullman"	0.0710329
"Katharine Hepburn"	0.0707211
"Demi Moore"	0.0702243
"Catherine Deneuve"	0.0700067
"John Leguizamo"	0.0698965
"Audrey Hepburn"	0.0698314
"Chevy Chase"	0.069507
"Brian Dennehy"	0.0686776
"David Spade"	0.068174
"Garry Shandling"	0.0677663
"Bernadette Peters"	0.0673779
"Sally Field"	0.0666573
"Michael Douglas"	0.0659971
"Christopher Reeve"	0.0658259
"Jack Benny"	0.0654076
"Nicole Kidman"	0.0652982
"Tony Bennett"	0.064644
"Alec Baldwin"	0.0641467
"John Goodman"	0.0640346
"Michael J. Fox"	0.0640205
"Jimmy Stewart"	0.0635442
"Sean Penn"	0.0633294
"Aidan Quinn"	0.0632678
"Melissa Etheridge"	0.0629819
"Johnny Depp"	0.0626037
"Meryl Streep"	0.0622855
"Edward Norton"	0.0621889
"Sela Ward"	0.0620725
"Ben Stiller"	0.0619475
"Johnny Carson"	0.061909
"Vivien Leigh"	0.0618384
"Natasha Richardson"	0.0617009
"Jodie Foster"	0.0610701
"Stevie Wonder"	0.0609496
"Ted Danson"	0.0609153
Liberace	0.0607649
"Helen Hunt"	0.0604852
"Jim Harrick"	0.0596258
"Kim Basinger"	0.0595632
"Bruce Willis"	0.0594766
"Samuel L. Jackson"	0.0585729
"Matthew Broderick"	0.0584468
"Bebe Neuwirth"	0.0583956
"Eric Clapton"	0.0583328
"Greg Kinnear"	0.0583248
"Heather Graham"	0.0581612
"Jessica Lange"	0.0581232
"Steve Martin"	0.0579796
"Lana Turner"	0.0578254
"La Vida Loca"	0.0577948
"Liam Neeson"	0.0577662
"Richard Gere"	0.057752
"Larry King"	0.0576694
"Goldie Hawn"	0.0575893
"Alfre Woodard"	0.0572363
Costner	0.0570963
"Robert DeNiro"	0.0568739
"Stockard Channing"	0.0568518
"Dolly Parton"	0.056838
"Sigourney Weaver"	0.0566391
"Woody Harrelson"	0.0565387
"Jane Fonda"	0.0565225
"Annette Bening"	0.0564645
"Julie Andrews"	0.0564519
"Jack Nicholson"	0.0564053
"Kevin Costner"	0.0563672
"Janet Jackson"	0.0563298
"Mandy Patinkin"	0.0562184
"W.C. Fields"	0.0560611
"Sharon Stone"	0.0560256
"Jerry Seinfeld"	0.0560135
"Bill Cosby"	0.0555773
"Janet McTeer"	0.0554847
"Jon Voight"	0.055331
"Patrick Stewart"	0.0550556
"Vanessa Redgrave"	0.0550066
"Steve McQueen"	0.0549826
"Ian Holm"	0.0547701
"Harry Belafonte"	0.0547036
"Bryant Gumbel"	0.0546498
"Ed Harris"	0.0546232
"Bill Paxton"	0.0545758
"James Van Der Beek"	0.0545539
"Russell Crowe"	0.0545405
"Winona Ryder"	0.0544764
"Spencer Tracy"	0.0544158
"Paul Newman"	0.0541897
"Eddie Murphy"	0.0536404
"Jennifer Love Hewitt"	0.0535837
"Ethan Hawke"	0.0535126
"Tom Selleck"	0.053494
Sonny	0.0534923
"Jimmy Smits"	0.0534643
"Elizabeth Taylor"	0.0533405
"Jerry Lewis"	0.0530844
"Bette Davis"	0.05296
"Alanis Morissette"	0.0528681
"Drew Barrymore"	0.05281
"Bing Crosby"	0.0526071
"Queen Latifah"	0.0525655
"James Cagney"	0.0525098
"Joan Crawford"	0.0522934
"Keanu Reeves"	0.0520326
"Andre Braugher"	0.0519632
"Josephine Baker"	0.0518524
Gielgud	0.0518184
"Cate Blanchett"	0.0516527
"Stephen Rea"	0.0515406
"Drew Carey"	0.0513441
"Ally Sheedy"	0.0511885
"Greta Garbo"	0.0510927
"Michelle Pfeiffer"	0.0508799
"James Stewart"	0.0508028
"Holly Hunter"	0.0507527
"Halle Berry"	0.0507351
"Kathleen Turner"	0.0506379
"Mel Gibson"	0.05053
"John Cleese"	0.0504206
swank	0.0502622
"John Malkovich"	0.0502214
"Liza Minnelli"	0.0501567
"Pierce Brosnan"	0.0501443
"Janeane Garofalo"	0.0501078
"Jay Leno"	0.0498917
"John Cusack"	0.0498393
"Martin Lawrence"	0.049761
"Cary Grant"	0.0495993
"Lucille Ball"	0.0495932
"Nathan Lane"	0.0495717
"Ray Evernham"	0.0494656
"Whitney Houston"	0.0494003
"Johnny Bench"	0.0491207
"Bill Murray"	0.0488734
"Clint Eastwood"	0.0488518
"Kevin Bacon"	0.0488357
"Jon Bon Jovi"	0.048595
"Phil Donahue"	0.0485623
Isner	0.0485265
"Sonny Bono"	0.0485013
"Bob Hope"	0.0484528
"Susan Sarandon"	0.0484412
"Chris Cooper"	0.0482482
"Mark Wahlberg"	0.0481726
"David Hyde Pierce"	0.0481389
"Elton John"	0.0480932
Tsvangirai	0.0479714
"Taye Diggs"	0.0478681
Midler	0.0478624
"Ashley Judd"	0.047819
"Gene Hackman"	0.0477206
"Sylvester Stallone"	0.0476854
"Gabriel Byrne"	0.0475992
"Billy Crudup"	0.0475848
"Van Dyke"	0.0474883
"Billy Crystal"	0.047453
Cher	0.047416
"Harvey Keitel"	0.0472207
"Norm MacDonald"	0.0471643
"AL PACINO"	0.0471267
"Nigel Hawthorne"	0.0468687
"Jamie Foxx"	0.0468203
"Claudia Schiffer"	0.0467945
"Ewan McGregor"	0.0467854
"Matthew Perry"	0.0467267
))
("Carol Moseley-Braun" (desc 1289.41) (sims
"Richard Durbin"	0.225241
"Dick Durbin"	0.186494
"Richard Bryan"	0.139908
Moseley-Braun	0.125594
"Barbara Mikulski"	0.110089
"Patty Murray"	0.106582
"Dianne Feinstein"	0.097889
"Lincoln Chafee"	0.096952
"Russell Feingold"	0.0967107
"Peter Fitzgerald"	0.0959032
"Russ Feingold"	0.0915357
"George Miller"	0.0872151
"Dennis Hastert"	0.0854327
"Chuck Schumer"	0.0836774
"Paul Tsongas"	0.0824542
"John Breaux"	0.0799292
"Daniel Patrick Moynihan"	0.0786234
Feinstein	0.0785339
"Jim Bunning"	0.0767463
"Alfonse D'Amato"	0.0763127
"Paul Simon"	0.0749701
"Ernest Hollings"	0.0735781
"John Chafee"	0.0717539
"Warren Rudman"	0.0713596
"George Ryan"	0.0710204
"Max Baucus"	0.0706287
"Lloyd Bentsen"	0.0684574
"Blue Shield"	0.0669208
"Dan Lungren"	0.0669207
"Mike DeWine"	0.0663026
"Carl Levin"	0.0661505
D-Wash.	0.0647534
"Slade Gorton"	0.0634029
"John Danforth"	0.0626497
"Harry Reid"	0.0610965
Bayh	0.0604571
"George Mitchell"	0.0600618
"George Voinovich"	0.0592655
"Barbara Boxer"	0.0587188
Hollings	0.0585537
"Joseph Lieberman"	0.0562552
"Charles Schumer"	0.0550905
D-Mont.	0.0546679
Lungren	0.0537229
"Lowell Weicker"	0.0533218
rower	0.0527399
"Matt Fong"	0.0526994
"Ben Nighthorse Campbell"	0.0522542
"Gary Hart"	0.0519054
R-Maine	0.0515711
"Spencer Abraham"	0.0497818
R-N.M.	0.0497573
"Norm Dicks"	0.0493084
"John Ashcroft"	0.0486904
"Frank Bruno"	0.0486561
"John Conyers Jr."	0.0483341
Murkowski	0.0479903
"Robert Torricelli"	0.0475619
D-Calif.	0.0475132
"Lynne Cheney"	0.0473419
"Evan Bayh"	0.0470882
"Nancy Pelosi"	0.046364
"Tom Harkin"	0.0461589
Feingold	0.046119
"Dale Bumpers"	0.0455588
"Paul Wellstone"	0.0449946
"Tim Johnson"	0.0449493
"Favorite Trick"	0.0447192
"Bill Lann Lee"	0.0447055
"Paul Coverdell"	0.044261
"Kit Bond"	0.0442453
R-N.H.	0.0437105
"Kathleen Kennedy Townsend"	0.0435234
"Lauch Faircloth"	0.0431632
Breaux	0.0429377
"Gary Locke"	0.0427813
"Christopher Dodd"	0.0419124
"Democratic Senatorial Campaign Committee"	0.0417298
"Ansumane Mane"	0.0416227
Brawley	0.0412041
"Christopher Cox"	0.0410097
Fiorina	0.0407239
"Robert Byrd"	0.0406476
))
("Carole Sund" (desc 2680.19) (sims
Sund	0.405552
Juli	0.17284
"JonBenet Ramsey"	0.149594
JonBenet	0.143374
O'Hair	0.136669
"Martha Moxley"	0.135481
"James Byrd"	0.130833
"Matthew Eappen"	0.125038
"Madalyn Murray O'Hair"	0.11864
"Matthew Shepard"	0.117316
"James Byrd Jr."	0.110505
Webdale	0.109216
"Nicole Brown Simpson"	0.103731
Fahey	0.102333
"Patrick Dorismond"	0.100885
Ileto	0.0991932
"Galina Starovoitova"	0.0984641
Silverman	0.0966341
"Claudia Benton"	0.0931509
"Amadou Diallo"	0.0918087
sightseer	0.0902957
Starovoitova	0.083876
"Barnett Slepian"	0.0811899
Hajdari	0.0764099
Moxley	0.0751225
Bellush	0.0739416
Slepian	0.0737485
Pamela	0.0717687
"Shao Yunhuan"	0.0713667
Julie	0.0710591
Diallo	0.0705612
PFC	0.0702045
Brandi	0.0669079
Brenda	0.0652686
noncombatant	0.0636434
deceased	0.063113
Shepard	0.061682
B.J	0.06102
Liz	0.0608941
militiaman	0.0608537
Winchell	0.0604702
Raznatovic	0.0600945
exwife	0.0592917
Gerardi	0.0592457
"Thomas Youk"	0.0589104
Biko	0.0585644
"Louise Woodward"	0.0573071
"Amelia Earhart"	0.0572106
ex-girlfriend	0.0571684
Polly	0.05697
airmen	0.0567605
"Kendra Webdale"	0.056555
Stayner	0.0565077
Denise	0.0562998
"Salman Rushdie"	0.0560949
Helen	0.0559221
"Ron Brown"	0.0558909
Byrd	0.0555724
Edna	0.0552818
Guerin	0.0550529
"sperm whale"	0.0549815
schoolgirl	0.0547409
Benton	0.0547131
Olga	0.054062
"JFK Jr."	0.0539099
"loved one"	0.0538451
Berenson	0.053789
"mail carrier"	0.0534746
"Andrei Babitsky"	0.0529743
Armenians	0.0529668
Sylvia	0.052935
Middleton	0.0527984
Callie	0.0527424
"Che Guevara"	0.0524207
cellmate	0.0522779
Alexei	0.0522085
Nancy	0.0521928
policewoman	0.0517266
"Mars Climate Orbiter"	0.0513102
stowaway	0.0510855
Dudayev	0.0510168
Gaither	0.0509692
Christina	0.0509103
Copt	0.0507757
octuplets	0.0507681
"Azem Hajdari"	0.0506683
"old woman"	0.0506598
Eileen	0.0506124
firstborn	0.0506122
Mallory	0.0505433
taskbar	0.0501691
"John Kennedy Jr."	0.0499217
Dorothy	0.0492858
Matthew	0.0492817
"Pol Pot"	0.0491693
Stasi	0.0490631
"Gianni Versace"	0.0485957
fiancee	0.0485211
"John F. Kennedy Jr."	0.0480826
Anand	0.0479948
"gray whale"	0.047951
Dorismond	0.0478555
Kristin	0.0476354
"Vincent Foster"	0.047099
"Greek Cypriot"	0.0470233
Teresa	0.0469277
"Karenna Gore Schiff"	0.0467794
Arad	0.0465991
Youk	0.046585
snowmobilers	0.0465226
Gonzales	0.0464227
Kazhegeldin	0.0463523
crewmen	0.0463357
stepdaughter	0.046295
Klebold	0.0461401
"Caroline Kennedy Schlossberg"	0.0459577
"right whale"	0.0458967
Yoon	0.0456981
Papon	0.0456047
Nicholas	0.0455982
"Bill King"	0.0452113
"Le Kha Phieu"	0.0451143
Mona	0.0445582
Jacqueline	0.0443492
Amedure	0.044348
first-grader	0.0442098
"mountain gorilla"	0.0439982
McIntyre	0.0438472
Jules	0.0437545
"Adam Petty"	0.0435986
Carruth	0.0433914
"Derrick Thomas"	0.04314
Sheppard	0.0425114
"Czar Nicholas II"	0.0425113
Villanueva	0.0424797
Helene	0.0424606
"Bobby Phills"	0.0424054
Laudor	0.0423441
Guatemalan	0.0422892
Falcone	0.0420269
"Moshood Abiola"	0.0419122
Patricia	0.0418184
MIAs	0.0418049
Debbie	0.0417821
Michele	0.0417173
Alexandra	0.0411563
holly	0.0411048
quadruplet	0.0409259
"Ruiz Massieu"	0.0408865
asp	0.040861
"Martin Luther King"	0.040672
Gurule	0.0406651
constable	0.040605
Susan	0.0402541
Samantha	0.0402279
sister-in-law	0.0401936
Devine	0.0401197
atheist	0.0400047
))
(Carolina (desc 35136.8) (sims
"Tampa Bay"	0.278411
"N.Y. Islanders"	0.245286
Pittsburgh	0.239465
Edmonton	0.235548
Detroit	0.222416
Buffalo	0.221207
ANAHEIM	0.221116
"Green Bay"	0.218403
Calgary	0.217277
"St. Louis"	0.215913
"N.Y. Rangers"	0.214665
Dallas	0.206821
Toronto	0.206785
Philadelphia	0.205242
Montreal	0.199783
Ottawa	0.197451
Cincinnati	0.193593
Phoenix	0.19132
"San Jose"	0.186935
Vancouver	0.184597
Cleveland	0.183745
Oakland	0.182734
Jacksonville	0.182545
Colorado	0.182057
Minnesota	0.180646
Chicago	0.17897
Milwaukee	0.177337
Nashville	0.175652
"San Diego"	0.173237
Baltimore	0.172687
Denver	0.172593
"New York Jets"	0.168927
islander	0.16797
"Kansas City"	0.165954
Miami	0.163877
"New York Giants"	0.16187
"N.Y. Mets"	0.161307
Indianapolis	0.157474
Seattle	0.156175
"New Orleans"	0.155661
Atlanta	0.152535
Boston	0.151017
Arizona	0.146277
Orlando	0.145062
Tennessee	0.144164
Sacramento	0.143451
"New England"	0.143444
"New Jersey"	0.142707
panther	0.142308
Florida	0.141577
"San Francisco"	0.139516
"New York Rangers"	0.138918
Houston	0.137332
Portland	0.13604
"Chicago White Sox"	0.135982
"Los Angeles"	0.135286
"Chicago Cubs"	0.134728
Giants	0.132682
Indiana	0.130449
"Golden State"	0.129326
Charlotte	0.129255
MetroStars	0.129056
ranger	0.129023
"New York Islanders"	0.127479
Purdue	0.126855
oiler	0.125606
"Oregon State"	0.124511
Bengals	0.124158
LSU	0.123442
"Carolina Panthers"	0.122
"Indianapolis Colts"	0.121978
Redskin	0.1211
"Penn State"	0.11926
"Oklahoma State"	0.119126
Utah	0.119085
"Mighty Ducks"	0.118882
"Ohio State"	0.118229
"New York Mets"	0.118206
"Florida State"	0.117893
Syracuse	0.117168
"Arizona State"	0.116993
Stanford	0.11605
"Michigan State"	0.115391
devil	0.115294
USC	0.114962
BEARS	0.113774
Eagles	0.113559
"N.Y. Yankees"	0.113482
Washington	0.113304
"Los Angeles Lakers"	0.113089
Rutgers	0.112227
UCLA	0.111891
Mets	0.111646
clipper	0.111331
Vanderbilt	0.111204
"Notre Dame"	0.111035
"Washington Redskins"	0.109863
"San Antonio"	0.109747
"Carolina Hurricanes"	0.108648
"Maple Leafs"	0.108509
"Minnesota Vikings"	0.108436
"Georgia Tech"	0.10831
Lakers	0.107301
"Kansas State"	0.10725
"Philadelphia Eagles"	0.107197
Tampa	0.106805
"Philadelphia Flyers"	0.106407
"Red Wings"	0.106094
"Iowa State"	0.106026
"Florida Panthers"	0.10563
Viking	0.105477
"Wake Forest"	0.105409
"Washington State"	0.104393
"Buffalo Sabres"	0.104288
bruin	0.104123
"Los Angeles Clippers"	0.103711
"New York Yankees"	0.10371
flyer	0.103435
falcon	0.103236
"Green Bay Packers"	0.102897
Seahawks	0.102783
Nebraska	0.102163
ram	0.101948
"Miami Dolphins"	0.101917
cardinal	0.101764
Kentucky	0.101629
"Virginia Tech"	0.101305
Columbus	0.100963
Clemson	0.100942
packer	0.10067
"St. Louis Cardinals"	0.100351
"Miami Heat"	0.100307
Phillies	0.100042
Baylor	0.0998154
Knicks	0.0997043
Canuck	0.0996584
"Vancouver Canucks"	0.0996578
charger	0.099528
"San Diego Padres"	0.0994392
"Mississippi State"	0.0993954
Steelers	0.0990788
Auburn	0.0989233
"Chicago Bears"	0.0988703
"Dallas Cowboys"	0.0983953
Orioles	0.0983718
Canadiens	0.0980995
Oregon	0.0976532
"Dallas Stars"	0.0972727
sabre	0.0969162
Alabama	0.0967804
"White Sox"	0.0967234
bronco	0.0960973
Gonzaga	0.0960945
"Calgary Flames"	0.0960521
Yankee	0.0960415
Celtics	0.0959346
"San Diego Chargers"	0.0957323
"North Carolina State"	0.0956521
marlin	0.0953947
"Arizona Cardinals"	0.0952542
"St. Louis Rams"	0.094505
Blackhawks	0.0943935
"Louisiana Tech"	0.0943211
"San Jose State"	0.0940462
BYU	0.0940259
"North Carolina"	0.0939917
"Boston College"	0.0938111
Texas	0.0935945
"ATLANTA FALCONS"	0.0935903
cub	0.0933358
TCU	0.0932408
"Golden State Warriors"	0.0931857
"Seattle Mariners"	0.093178
"Los Angeles Kings"	0.0926709
"Detroit Red Wings"	0.0924548
"Kansas City Chiefs"	0.0922495
"Sacramento Kings"	0.0919904
SMU	0.0916513
"D.C. United"	0.0914939
"Texas Tech"	0.0913749
ASTROS	0.0913152
raider	0.0913135
Padre	0.0913026
"Edmonton Oilers"	0.0910234
"New Orleans Saints"	0.0910149
"Milwaukee Brewers"	0.0909868
"New York Knicks"	0.0908665
dolphin	0.0907389
"San Jose Sharks"	0.0901235
"Detroit Tigers"	0.090119
Memphis	0.0899867
Royals	0.0898653
"blue jay"	0.0898547
"Cincinnati Bengals"	0.089674
"Los Angeles Dodgers"	0.0893263
"devil ray"	0.089155
dodger	0.088954
"Chicago Blackhawks"	0.0889432
Raven	0.088685
"Washington Capitals"	0.0884617
))
("Carolina Hurricanes" (desc 2929.14) (sims
"Calgary Flames"	0.241273
"Miami Fusion"	0.21827
"San Jose Sharks"	0.209395
"Florida Panthers"	0.206755
"Dallas Burn"	0.196121
"Ottawa Senators"	0.195826
"Vancouver Canucks"	0.194247
"Pittsburgh Penguins"	0.194059
"Detroit Red Wings"	0.194055
"Edmonton Oilers"	0.192149
"Philadelphia Flyers"	0.189051
"Chicago Blackhawks"	0.18627
"Phoenix Coyotes"	0.185683
"Buffalo Sabres"	0.175965
"Toronto Maple Leafs"	0.172101
"St. Louis Blues"	0.169917
"Colorado Avalanche"	0.163685
"Nashville Predators"	0.161193
"Montreal Canadiens"	0.15808
"New York Rangers"	0.157636
"Milwaukee Brewers"	0.156711
"Montana State"	0.155144
"Phoenix Suns"	0.15075
"New York Islanders"	0.150628
"Washington Capitals"	0.149117
"Golden State Warriors"	0.148317
"Kansas City Royals"	0.145107
"Maple Leafs"	0.144562
"New York Liberty"	0.143764
"Colorado Rockies"	0.143247
"Tampa Bay Lightning"	0.143057
"New Jersey Devils"	0.142174
"Philadelphia Phillies"	0.140322
"New York-New Jersey MetroStars"	0.139722
"Pittsburgh Pirates"	0.139265
"San Francisco Giants"	0.138728
"Indiana Pacers"	0.136238
"Minnesota Twins"	0.134536
"Detroit Tigers"	0.134367
"Dallas Stars"	0.134089
"Cincinnati Reds"	0.133913
"Miami Heat"	0.133517
"Boston Celtics"	0.132644
"D.C. United"	0.13214
"Chicago Fire"	0.131077
"San Diego Padres"	0.131024
"Tampa Bay Devil Rays"	0.130145
"St. Louis Cardinals"	0.128829
"Baltimore Orioles"	0.128672
"Arizona Diamondbacks"	0.128176
"San Antonio Spurs"	0.127752
"Detroit Pistons"	0.127699
"Los Angeles Kings"	0.127684
"Oakland Athletics"	0.127567
"Utah Jazz"	0.126734
"Sacramento Kings"	0.126694
"Toronto Blue Jays"	0.126486
"Vancouver Grizzlies"	0.126185
"Anaheim Angels"	0.126028
"Houston Astros"	0.125302
"New York Mets"	0.125203
"Boston Bruins"	0.124967
"Texas Rangers"	0.12452
"Milwaukee Bucks"	0.124397
"Los Angeles Lakers"	0.123337
"Washington Wizards"	0.122932
"Seattle Mariners"	0.120885
"Montreal Expos"	0.120242
"Arizona Cardinals"	0.120082
"Boston Red Sox"	0.119729
"Portland Trail Blazers"	0.118481
"Los Angeles Galaxy"	0.118018
"Mighty Ducks"	0.117883
"Florida Marlins"	0.116812
"Houston Rockets"	0.115523
"Orlando Magic"	0.115493
"Toronto Raptors"	0.113319
"Kansas City Chiefs"	0.110749
"Chicago White Sox"	0.110685
"Charlotte Hornets"	0.110402
"Phoenix Mercury"	0.109541
"Atlanta Braves"	0.109406
"Oregon State"	0.108768
Carolina	0.108648
"Dallas Mavericks"	0.108623
"Buffalo Bills"	0.108582
MetroStars	0.108268
"CHARLOTTE STING"	0.107291
"Denver Nuggets"	0.107036
"Cleveland Indians"	0.106883
"Trail Blazers"	0.106155
"Seattle SuperSonics"	0.106121
"Seibu Lions"	0.105608
Canadiens	0.10543
"Anaheim Mighty Ducks"	0.105205
"Atlanta Thrashers"	0.105143
"New York Knicks"	0.104847
"American Chanda Rubin"	0.104812
"Atlanta Hawks"	0.103374
Canuck	0.103342
"Red Wings"	0.102738
"Los Angeles Dodgers"	0.102643
"Phenix City"	0.102462
"New Orleans Saints"	0.101745
"New Jersey Nets"	0.101398
Orioles	0.101391
flyer	0.101382
"Washington Mystics"	0.100958
"New York Yankees"	0.10023
Huskers	0.100058
Celtics	0.0991325
"Mississippi State"	0.0978585
"Washington Redskins"	0.0975351
"blue jay"	0.0975146
Berasategui	0.0973862
"Chicago Cubs"	0.0971193
"Seton Hall"	0.096535
"Philadelphia Eagles"	0.096508
Edmonton	0.0962261
Phillies	0.0959644
"Jacksonville Jaguars"	0.0958098
"Australian Mark Philippoussis"	0.09533
"Chicago Bears"	0.0947282
Purdue	0.0938563
Redskin	0.0931722
"devil ray"	0.0929479
"Yokohama Baystars"	0.0928536
"Minnesota Timberwolves"	0.0926033
"Iowa State"	0.092173
islander	0.092114
"Miami Dolphins"	0.0916753
"Green Bay Packers"	0.0916722
"New York Giants"	0.0913329
Padre	0.090831
"New England Patriots"	0.0908185
"Fresno State"	0.090766
"Cincinnati Bengals"	0.0907132
"Oakland Raiders"	0.0906721
panther	0.0905883
"Dallas Cowboys"	0.0902393
"Chicago Bulls"	0.0899464
"Wayne Black"	0.0896212
pacer	0.0890481
"San Diego Chargers"	0.088995
Villanova	0.0885227
sabre	0.088412
"Utah State"	0.0880988
"Minnesota Vikings"	0.0880552
Blackhawks	0.0878981
Gonzaga	0.0878127
"Nevada-Las Vegas"	0.0871642
"Indianapolis Colts"	0.086635
Ottawa	0.0864747
Calgary	0.0864513
Rutgers	0.0863745
"North Carolina State"	0.0863708
"White Sox"	0.0860747
"Catalina Cristea"	0.086066
"Cleveland Cavaliers"	0.0859549
marlin	0.0857145
A's	0.0855933
"Michigan State"	0.0854515
"Arizona State"	0.085115
"Louisiana Tech"	0.0845704
ANAHEIM	0.0844807
Cornhusker	0.0839838
Milwaukee	0.0838382
LSU	0.0832898
"Oklahoma State"	0.0832484
Wolfpack	0.0832037
clipper	0.0831154
"Tampa Bay"	0.0831039
"Sandrine Testud"	0.083022
Clemson	0.0830087
oiler	0.0826173
"San Francisco @@ers"	0.082488
"Los Angeles Clippers"	0.0823042
coyote	0.0820608
"Tampa Bay Buccaneers"	0.0816875
"Fighting Irish"	0.0816739
Timberwolves	0.0816702
cavalier	0.0815399
"Texas Tech"	0.0814247
"Wake Forest"	0.0814237
Vanderbilt	0.081383
"Arnaud Clement"	0.0812483
devil	0.0812185
Pepperdine	0.0811584
"Natasha Zvereva"	0.0811158
"Tennessee Titans"	0.0805045
cub	0.0801682
Jayhawks	0.0800518
"Denver Broncos"	0.0799355
Paraguay	0.0798564
Stoltenberg	0.079737
Leicester	0.0797048
Sacramento	0.0796702
"Pittsburgh Steelers"	0.0792519
Royals	0.0791485
"New York Jets"	0.0787327
))
("Carolina Panthers" (desc 6170.4) (sims
"Philadelphia Eagles"	0.239384
"Seattle Seahawks"	0.23304
"Miami Dolphins"	0.232276
"Washington Redskins"	0.229645
"New Orleans Saints"	0.229607
"St. Louis Rams"	0.226587
"Tampa Bay Buccaneers"	0.225066
"Chicago Bears"	0.224866
"New York Jets"	0.216783
"San Francisco @@ers"	0.20596
"San Diego Chargers"	0.202608
"Indianapolis Colts"	0.20163
"Denver Broncos"	0.197014
"Cleveland Browns"	0.19579
"Dallas Cowboys"	0.195178
"Minnesota Vikings"	0.194715
"Buffalo Bills"	0.19366
"New England Patriots"	0.182316
"Baltimore Ravens"	0.179494
"Oakland Raiders"	0.179149
"Pittsburgh Steelers"	0.176331
"Green Bay Packers"	0.174789
"Kansas City Chiefs"	0.173624
"ATLANTA FALCONS"	0.170549
"New York Giants"	0.169598
"Arizona Cardinals"	0.163715
"Cincinnati Bengals"	0.160144
"Tennessee Titans"	0.157191
"Golden State Warriors"	0.156926
"Detroit Lions"	0.15295
"Los Angeles Clippers"	0.152698
panther	0.151285
Seahawks	0.14682
"Jacksonville Jaguars"	0.14083
"Los Angeles Rams"	0.140829
"Tampa Bay Lightning"	0.13833
Bengals	0.133177
"Milwaukee Bucks"	0.132656
"Washington Wizards"	0.131386
charger	0.129987
Giants	0.126902
Redskin	0.126506
BEARS	0.125118
packer	0.122975
Carolina	0.122
falcon	0.121667
"Calgary Flames"	0.120997
Eagles	0.119911
"Houston Oilers"	0.119546
Bucs	0.117906
ram	0.117246
bronco	0.115187
Raven	0.115087
"Dallas Mavericks"	0.114916
"Edmonton Oilers"	0.113397
"Vancouver Canucks"	0.113304
"Los Angeles Kings"	0.113238
"Philadelphia Flyers"	0.113173
"Buffalo Sabres"	0.113172
"Boston Bruins"	0.11311
Steelers	0.113108
"Charlotte Hornets"	0.112911
oiler	0.112766
"Detroit Pistons"	0.111937
"Boston Celtics"	0.110717
"Minnesota Timberwolves"	0.109634
"Atlanta Hawks"	0.109149
"Green Bay"	0.108744
"Chicago Bulls"	0.108658
"Sacramento Kings"	0.10818
"Milwaukee Brewers"	0.107568
"Los Angeles Lakers"	0.107392
piston	0.107215
"Phoenix Suns"	0.105628
raider	0.105538
patriot	0.104749
Sooners	0.104404
"Tar Heels"	0.102937
Celtics	0.102813
cowboy	0.102173
"Cincinnati Reds"	0.101933
"Los Angeles Dodgers"	0.101286
"Pittsburgh Penguins"	0.101177
"New York Islanders"	0.100171
"New York Knicks"	0.0999638
"Miami Heat"	0.0996028
clipper	0.0982051
Canuck	0.0978666
"Kansas City Royals"	0.0975903
"New Jersey Devils"	0.09759
"Houston Rockets"	0.0973297
"Minnesota Twins"	0.0969481
"San Antonio Spurs"	0.0969068
"Cleveland Cavaliers"	0.0958016
"Nashville Predators"	0.0955352
"Washington Capitals"	0.0944979
"New Jersey Nets"	0.0943998
"Denver Nuggets"	0.0942479
"Portland Trail Blazers"	0.0938019
cardinal	0.0936557
"Montreal Canadiens"	0.093395
"Colorado Rockies"	0.0925634
"New York Rangers"	0.0922573
"Toronto Maple Leafs"	0.0921613
Cavs	0.0921155
"San Jose Sharks"	0.0920638
"Tampa Bay Devil Rays"	0.0919004
"Orlando Magic"	0.0913289
"Detroit Red Wings"	0.0911658
"Phoenix Coyotes"	0.0907222
dolphin	0.09049
"Detroit Tigers"	0.0903443
"Colorado Avalanche"	0.0903191
Viking	0.0894085
colt	0.08908
MetroStars	0.0889213
"Oakland Athletics"	0.0885286
"New York Mets"	0.0884943
"Florida Panthers"	0.0880867
Seminoles	0.0877055
"Toronto Raptors"	0.0876844
"Boston Red Sox"	0.0873109
"Indiana Pacers"	0.0871561
"St. Louis Cardinals"	0.0871248
"Vancouver Grizzlies"	0.0866497
bulldog	0.0863771
"Anaheim Angels"	0.0863686
"Appalachian State"	0.0858866
"Dallas Stars"	0.0855853
"San Diego Padres"	0.0855131
"Cleveland Indians"	0.0853956
"Texas Rangers"	0.0852816
"Northern Arizona"	0.0852696
USC	0.0852221
"Tampa Bay"	0.0850873
"New York Yankees"	0.0843117
"Nittany Lions"	0.0836328
"Florida State"	0.0834581
Orioles	0.0832155
Lakers	0.0826802
"Chicago Cubs"	0.0824122
"Red Wings"	0.0823934
"Georgia Southern"	0.0823157
"Utah Jazz"	0.0817499
"Montreal Expos"	0.0816931
"Mighty Ducks"	0.0816123
"White Sox"	0.0815437
"Atlanta Braves"	0.0813642
titan	0.0811757
"Los Angeles Galaxy"	0.0811383
Cornhusker	0.0811066
Timberwolves	0.081012
"New York-New Jersey MetroStars"	0.0808433
"Iowa State"	0.0806663
"Chicago Blackhawks"	0.0804278
TCU	0.0803144
"Texas Tech"	0.0803043
"blue jay"	0.0801862
"Baltimore Orioles"	0.0800644
"Arizona State"	0.0799507
"Seattle Mariners"	0.0798987
"Phoenix Mercury"	0.0795934
"Washington Senators"	0.0795063
"St. Louis Blues"	0.0794659
"Ottawa Senators"	0.079077
"Team USA"	0.0790472
"D.C. United"	0.0787641
"Oregon State"	0.0786957
"Ohio State"	0.0785985
"Pittsburgh Pirates"	0.0785082
Lobos	0.0782242
"Washington State"	0.0779319
Longhorn	0.0779311
Hornet	0.0775289
"Fighting Irish"	0.0774086
"Toronto Blue Jays"	0.0774053
matador	0.0772806
"Florida Marlins"	0.0771071
"Red Raiders"	0.0769636
"San Diego State"	0.0767527
"Louisiana Tech"	0.0767331
"Michigan State"	0.0766529
maverick	0.0762301
"Seattle SuperSonics"	0.0761196
Aggies	0.0761143
"Arizona Diamondbacks"	0.0757042
"Kansas State"	0.0756525
"Anaheim Mighty Ducks"	0.0756118
Sonics	0.0755572
"Houston Astros"	0.0754898
Baylor	0.0754543
"Philadelphia Phillies"	0.0750569
"Penn State"	0.0748408
BYU	0.0748027
"Mississippi State"	0.0747768
"Horned Frogs"	0.074466
"Notre Dame"	0.0739088
flyer	0.0737401
Trojan	0.0736451
Rutgers	0.0736212
))
(Carolinas (desc 10823.4) (sims
Appalachians	0.216908
"Great Lakes"	0.203675
"Ohio Valley"	0.202415
"Tennessee Valley"	0.183372
"Mississippi Valley"	0.183247
"North Carolina"	0.137712
Louisiana	0.135581
Virginia	0.129133
"New England"	0.127412
"Pacific Northwest"	0.126051
Maine	0.124482
"West Virginia"	0.120391
Florida	0.119131
"Gulf Coast"	0.118921
Oklahoma	0.116666
Pennsylvania	0.116508
Kansas	0.115852
"South Carolina"	0.113938
Midwest	0.113588
plain	0.113256
Ohio	0.112931
Mississippi	0.112559
Texas	0.111736
Dakota	0.111614
Rockies	0.111147
"Yucatan Peninsula"	0.11097
Michigan	0.109485
"North Dakota"	0.1066
Missouri	0.106273
Alabama	0.106019
Illinois	0.105363
"New Mexico"	0.102779
California	0.10275
"Gulf of Mexico"	0.101589
Wisconsin	0.100034
Montana	0.0986893
Maryland	0.0980359
Kentucky	0.0978042
Georgia	0.0977416
Massachusetts	0.0964653
"New Jersey"	0.0946341
Arkansas	0.0943984
southeast	0.0932663
Oregon	0.089378
"Middle West"	0.0872777
Alaska	0.085929
panhandle	0.0843019
Nebraska	0.0840925
Northeast	0.0836286
"Florida Panhandle"	0.083563
Delaware	0.0830035
Nevada	0.0819976
Minnesota	0.0810606
Idaho	0.0803044
Connecticut	0.0794197
Tennessee	0.0789586
Colorado	0.0769236
"South Florida"	0.0760709
Iowa	0.0758661
Mid-Atlantic	0.0739708
Auburn	0.0736158
"South Dakota"	0.0725623
Vermont	0.0713704
"Florida Keys"	0.0707253
Indiana	0.0685291
Hawaii	0.0682964
"Rhode Island"	0.0670608
Wyoming	0.0653152
Luzon	0.0651579
LSU	0.0647274
Bahamas	0.0644732
southwest	0.0642871
Ontario	0.0598625
"Puerto Rico"	0.0587418
"Nova Scotia"	0.058173
"Cape Cod"	0.0561774
seaboard	0.0555216
"Southern California"	0.0552937
"Rocky Mountains"	0.055007
Utah	0.0548238
Abkhazia	0.0537288
Caribbean	0.0534781
Clemson	0.0531058
"Palm Beach County"	0.0529096
"Mississippi State"	0.0528966
"East Coast"	0.052849
Roanoke	0.0526471
"North Carolina State"	0.0526197
"Everglades National Park"	0.0508735
"North Island"	0.0502634
Adirondacks	0.0500438
Everglades	0.0497036
"Bohai Sea"	0.0493835
"Del Rio"	0.048874
Bekaa	0.0487403
"Central America"	0.0484886
"Pacific Ocean"	0.0475428
"South Georgia"	0.0475104
"Penn State"	0.0471995
Kyushu	0.0471867
Tuscaloosa	0.0471865
"Florida State"	0.0471215
"Virginia Beach"	0.0466982
Honduras	0.0465515
Appalachia	0.0462572
"South America"	0.0462099
Greenland	0.0462072
"San Joaquin Valley"	0.0459559
"Rio Grande Valley"	0.0457182
"Leeward Islands"	0.0456061
"South Texas"	0.0455977
"Sea of Japan"	0.0455769
"Sierra Nevada"	0.0450242
Evansville	0.0450235
"Ohio State"	0.044925
Bermuda	0.0443663
"Andhra Pradesh"	0.0443343
"Baja California"	0.0440258
"Bay of Bengal"	0.0438974
"Louisiana State"	0.0430342
"District of Columbia"	0.0430158
"Sunshine State"	0.0427521
Mediterranean	0.0426456
Siberia	0.0421222
"Palm Beach"	0.0418333
Jacksonville	0.0417608
Wilmington	0.041303
"Long Island"	0.0411436
"Washington State"	0.04107
"Deep South"	0.0410213
"San Fernando Valley"	0.0409061
Laramie	0.0407541
Smyrna	0.0406443
Brownsville	0.0405112
Quebec	0.0404178
"Central Valley"	0.040218
))
(Caroline (desc 7700.52) (sims
Eileen	0.182353
Susan	0.148355
Carolyn	0.139048
Stephanie	0.134256
Kristin	0.131544
Kathleen	0.12937
Patricia	0.127558
"Carolyn Bessette Kennedy"	0.126695
Brenda	0.121552
Jacqueline	0.119927
Nancy	0.117328
Jessica	0.116397
"Caroline Kennedy Schlossberg"	0.115503
Suzanne	0.113661
Diane	0.112649
Jill	0.112395
Debbie	0.112301
Josephine	0.110709
"Lauren Bessette"	0.110504
Natalie	0.110303
Lori	0.110152
Julie	0.109369
Maria	0.108549
Jennifer	0.108176
Alexandra	0.106389
Christine	0.10513
Dorothy	0.104965
Edith	0.104838
Olga	0.104225
alicia	0.104044
Sonia	0.103969
Cheryl	0.1035
Lynne	0.10267
Judy	0.102605
Pam	0.102445
Michele	0.101837
Barbara	0.101643
Emily	0.10095
Kathryn	0.100855
Rachel	0.100691
Margaret	0.100668
Vanessa	0.100557
hazel	0.100152
Rebecca	0.0998322
Sally	0.0996682
Audrey	0.0993521
Nicole	0.0988992
Laura	0.0976573
Polly	0.0975041
Karen	0.0970365
Lisa	0.0969129
Monique	0.0967213
Michelle	0.0964586
Erin	0.0963816
Robin	0.0962303
Megan	0.0958308
Marie	0.0956715
Kate	0.0955532
Linda	0.0955512
Esther	0.0953706
"Karenna Gore Schiff"	0.095101
Amy	0.0950089
Ellen	0.0949948
Beverly	0.0948826
Cindy	0.0944034
ANN	0.0943191
Kathy	0.0942619
Denise	0.0941339
Evelyn	0.0932495
Cathy	0.0926061
Christina	0.0921504
Lauren	0.0920475
Camille	0.0919027
Anne	0.0918984
JoAnne	0.0918142
Sylvia	0.0915518
Catherine	0.0912286
Jeanne	0.0906656
Miriam	0.0906371
Helen	0.0904285
Marian	0.090328
Lydia	0.0902992
Katie	0.0901864
Sarah	0.0901562
heather	0.0899162
Valerie	0.089748
Connie	0.0897368
"Azizah Ismail"	0.0894793
Ashley	0.0893846
Juanita	0.0893602
Jackie	0.0891194
Leah	0.0889411
Doris	0.0888071
Samantha	0.0882779
Janice	0.0882182
Karenna	0.0881537
Jenny	0.0876799
Martha	0.0869522
Debra	0.0868767
Terri	0.0867965
Donna	0.0866508
Gail	0.086391
Annie	0.085999
Teresa	0.0858306
Peggy	0.0858162
Julia	0.0858017
Lucy	0.0856768
Erica	0.0854691
Sara	0.0853078
Irina	0.0851042
gloria	0.084884
Carol	0.0846453
Mary	0.0843177
Millie	0.0841754
Janet	0.0841475
Lois	0.0838612
Beth	0.0838281
Liz	0.0836988
Lynn	0.0831282
Roberta	0.0826789
Betty	0.0826368
Elena	0.0822954
Marguerite	0.0820795
Jane	0.0820589
Amanda	0.0815914
Renee	0.0814561
Alice	0.0813871
Laurie	0.0811752
"Caroline Kennedy"	0.0811126
Maureen	0.0807222
Theresa	0.0803893
Diana	0.0802185
Claudia	0.0798213
Vicki	0.0783976
Meg	0.0780022
Andrea	0.077689
Frances	0.0775273
Tracey	0.0773109
Phyllis	0.0773055
Elizabeth	0.0772732
Sophie	0.0767751
colleen	0.0765968
Melanie	0.0761421
Angela	0.0758931
anna	0.0755287
Lucia	0.075494
Sandra	0.0754113
Pamela	0.0753515
Tina	0.0751805
Beatrice	0.0751757
Gertrude	0.0751475
Vivian	0.0750193
Jamie	0.0750183
Sheryl	0.0748964
Kelly	0.0748651
Pauline	0.0745242
Paulina	0.0742389
Rita	0.0741136
Paula	0.0740651
Wendy	0.0737825
Kimberly	0.0737241
Melissa	0.073579
Marlene	0.0733716
Deborah	0.0731876
Veronica	0.0727605
Brooke	0.072722
Shannon	0.0725311
Stella	0.0725231
Nora	0.0722075
Katherine	0.072173
Serena	0.072173
Hilary	0.072132
Naomi	0.0720996
Molly	0.0715833
Christie	0.0714754
Jessie	0.0714058
Shirley	0.0712439
becky	0.0712228
Eleanor	0.0710543
Mona	0.0709561
Marisleysis	0.070577
niece	0.070508
Zoe	0.0704077
Marcia	0.0701965
Sheila	0.0700854
Kay	0.0700293
Gina	0.0699467
Alison	0.0698881
Jenna	0.0697917
Cherie	0.069462
Sabrina	0.0693579
Anita	0.0693574
Emma	0.0689785
Michael	0.0685828
Frasier	0.0682953
Steven	0.0681774
Louise	0.0680075
Sharon	0.0679776
Marilyn	0.0675081
Angelica	0.0671399
))
("Caroline Kennedy" (desc 1506.95) (sims
"Caroline Kennedy Schlossberg"	0.239785
"Princess Anne"	0.12399
Shriver	0.0851309
"Bobby Kennedy"	0.0824806
Caroline	0.0811126
"Ethel Kennedy"	0.0758054
Sophie	0.0755804
Atwood	0.0754602
"Karenna Gore Schiff"	0.0719128
Calloway	0.0712035
"Patsy Ramsey"	0.0680679
Kagalovsky	0.0679507
Azizan	0.0672136
Soliah	0.067127
"Martin Luther King III"	0.0633731
Karenna	0.0630902
"Kathleen Kennedy Townsend"	0.0625792
Streisand	0.0619484
"Carolyn Bessette Kennedy"	0.0617603
"Huang Ju"	0.0613605
Lindner	0.0612325
"Laura Bush"	0.06117
Scruggs	0.060886
Carolyn	0.0605805
Barbara	0.0603225
Fonda	0.0603071
Barbour	0.0601814
DeFrantz	0.059652
"Geraldine Ferraro"	0.0595455
Jenna	0.0595153
Zeng	0.0594068
Cindy	0.0591672
Bessette	0.0587769
Azizah	0.0582249
Chukwu	0.0575816
"Lynne Cheney"	0.0570939
Maria	0.0569604
Sharma	0.0562517
Arroyo	0.055791
Gonzales	0.0557812
Christine	0.0554247
Beth	0.0551008
Kolbe	0.0550132
"Charles E. Schumer"	0.0549737
Coutts	0.0548053
Turetzky	0.0546481
"Jose Serrano"	0.0544849
Ummi	0.0544334
"Jacqueline Kennedy"	0.0539309
Anne	0.0538019
Loretta	0.0537515
Patricia	0.0536862
Braugher	0.0533722
"Anne Frank"	0.0531154
Nicholas	0.0527286
Sonia	0.0527067
Gosper	0.0523487
Biden	0.0522082
"Carolyn McCarthy"	0.0519054
Schiffer	0.0518105
Brawley	0.0517687
Rau	0.0516881
Heaney	0.0512689
Hodler	0.0507218
Hilary	0.050704
"Chuck Schumer"	0.0504894
Hefner	0.050279
Rita	0.0502535
"Wen Jiabao"	0.0501494
Kris	0.0501454
Teresa	0.0500859
"Queen Elizabeth II"	0.0500387
"Wei Jianxing"	0.0499552
Cole	0.0499408
Autry	0.0498395
Stephanie	0.0494846
Sund	0.0494576
Marchand	0.0493679
Dion	0.0493607
Jia	0.0492377
"Maturino Resendez"	0.0492365
Flores	0.0492158
"Nita Lowey"	0.0491459
Pablo	0.0490227
Marulanda	0.0490183
Kerouac	0.0488958
Watanabe	0.0488789
Stella	0.0487335
grandchild	0.0486916
LeFave	0.0484488
Madsen	0.0484361
"Robert F. Kennedy Jr."	0.0482819
Stahl	0.048256
"Luo Gan"	0.0482445
alicia	0.0482372
krueger	0.0481939
"Ding Guangen"	0.0481877
Julie	0.0480001
"Wu Bangguo"	0.0479581
Shorty	0.0479164
"Robert E. Lee"	0.0478838
"Isabel Allende"	0.0477029
Klemperer	0.047676
"Barbra Streisand"	0.047518
Marquez	0.0474122
Kathryn	0.047372
Laura	0.0472947
Helene	0.0472847
Kraus	0.0471823
"Chelsea Clinton"	0.0470239
Heston	0.0470102
Bella	0.046932
Surin	0.0468977
"Griffith Joyner"	0.0467029
Raznatovic	0.0467009
Loeb	0.0466975
wen	0.046621
Gullikson	0.0465208
Cassie	0.0464041
Hu	0.0463093
Smirnov	0.0463063
Satcher	0.0461705
Agnes	0.0461538
R-Ariz.	0.0461464
Menchu	0.0460414
Molinari	0.0459984
"Nuon Chea"	0.0459293
Chung	0.045778
Sartre	0.0456954
Kidman	0.0456132
"Daniel Patrick Moynihan"	0.0454798
bridegroom	0.0454552
Gorey	0.0453796
"Barbara Bush"	0.0451351
"Chuck Berry"	0.0450182
Bettman	0.0447812
Cochran	0.0446649
grandpa	0.0445577
Roberta	0.0443581
Christy	0.0441944
Hendrick	0.0441853
Connerly	0.044178
Nancy	0.0441613
Lowey	0.0440547
Osborne	0.0439985
"Juan Miguel Gonzalez"	0.0439214
Ashley	0.0437646
Eizenstat	0.0437491
Levitt	0.0437031
Zheng	0.0436824
Vicki	0.0435971
"Jerrold Nadler"	0.0435871
"Juan Miguel"	0.0435139
Macdonald	0.0433863
"Zhou Nan"	0.0433321
Nadler	0.0433226
Fech	0.0433156
Briscoe	0.0431299
Goodman	0.0431031
Krasniqi	0.0429397
Mukora	0.0429352
Couric	0.0427857
Harriet	0.0427482
Nicole	0.0427178
"Jim Harrick"	0.0426967
Jorgensen	0.0425729
"Craig McCaw"	0.0425699
"Yossi Sarid"	0.0425475
"Jim Kolbe"	0.0423761
Wyly	0.0423616
D-Mass.	0.0422312
patsy	0.0422104
"Dai Bingguo"	0.042106
Lileikis	0.0420747
Olbermann	0.0419731
Grimes	0.0419679
Erwin	0.0417004
Romer	0.0416978
Martha	0.04168
Susan	0.0416047
Laurie	0.0415277
"Marzuki Darusman"	0.0414554
Esther	0.0414358
Susie	0.0413637
Lori	0.041345
Hawthorne	0.0413177
Baez	0.0412846
Katie	0.041271
Brundtland	0.0412642
Grassley	0.0410777
Kyle	0.0410301
"Walt Whitman"	0.0410247
"Whitney Houston"	0.0410009
Shatner	0.0409998
Fleming	0.0409947
storey	0.0409303
"Barney Frank"	0.0409279
Peggy	0.0408944
Zemin	0.0408305
"Marisleysis Gonzalez"	0.0408296
))
("Caroline Kennedy Schlossberg" (desc 1290.47) (sims
"Caroline Kennedy"	0.239785
"Karenna Gore Schiff"	0.184417
Josephine	0.140035
Caroline	0.115503
Jacqueline	0.11283
"Carolyn Bessette Kennedy"	0.109579
Marian	0.105558
Patricia	0.102724
"Lauren Bessette"	0.101261
"Princess Anne"	0.100781
"Megawati Sukarnoputri"	0.100227
Deborah	0.0945465
Eileen	0.0940539
Suzanne	0.0925561
"Huang Ju"	0.0920604
Kristin	0.0918148
Stephanie	0.0913404
Jessica	0.0899774
Beth	0.0894639
alicia	0.0864104
Jenna	0.0857615
Margaret	0.0852962
Karenna	0.084661
Kathy	0.0845797
"Kathleen Kennedy Townsend"	0.0833621
Rachel	0.0817997
Andrea	0.0813356
"Isabel Allende"	0.0810091
Miriam	0.08039
"Queen Noor"	0.0802741
Keaton	0.0800553
D-Mass.	0.079598
Vanessa	0.0795643
Samantha	0.0784939
"Marisleysis Gonzalez"	0.0784576
"Ding Guangen"	0.0780113
Katherine	0.0767242
Sonia	0.0760226
Sophie	0.0756055
Linda	0.0751443
Monique	0.0747464
"Wei Jianxing"	0.0740717
Kathryn	0.0739876
Anastasia	0.0736149
"Massachusetts Democrat"	0.0735982
Diane	0.0734307
Natalie	0.0731316
Barbara	0.0731013
Robin	0.073094
Olga	0.0729605
Erica	0.0728132
"Loretta Sanchez"	0.0727708
Leah	0.0727139
DeFrantz	0.072611
Pamela	0.0722827
Emily	0.0721043
Courtney	0.0720354
Arroyo	0.0713031
Christina	0.0708611
Maria	0.0708338
Paulina	0.0698003
Catherine	0.069637
Lori	0.069633
Juanita	0.0695815
Lucia	0.0695407
Lauren	0.0694892
Jia	0.0692056
Nicole	0.0690591
Lisa	0.068884
"Megawati Soekarnoputri"	0.0686802
Lydia	0.0685732
Cristina	0.0680404
"Wen Jiabao"	0.0678168
Natasha	0.0678046
Mukora	0.0677729
anna	0.0677458
Beatrice	0.0676908
"Dai Bingguo"	0.067479
"Jia Qinglin"	0.0672407
Hilary	0.0671286
Gosper	0.0669141
Cindy	0.0666467
Cheryl	0.0666089
Laura	0.0664337
R-Neb	0.0662058
Amy	0.0660469
Teresa	0.0660264
Lazaro	0.0659759
Valerie	0.065785
Nancy	0.0653445
Brenda	0.0653166
Debbie	0.0643962
Anne	0.0641087
Kathleen	0.0641024
"Coretta Scott King"	0.0640636
heather	0.0635239
Carolyn	0.0634971
"Li Tieying"	0.0634956
"Yu Yongbo"	0.0632918
Evelyn	0.0631083
Rebecca	0.0628906
Bridget	0.0627045
Ummi	0.0625937
Nikki	0.0624598
Zeng	0.0623849
JoAnne	0.061754
Dorothy	0.0615954
colleen	0.0614203
Marlene	0.0614091
Shriver	0.0612963
"Robert F. Kennedy Jr."	0.0612677
Edith	0.0607963
Tracey	0.0607682
Lucy	0.0606547
Denise	0.0605764
"Zeng Qinghong"	0.0604317
"Jiang Chunyun"	0.0603511
Maya	0.0603394
Michele	0.0601921
D-Vt.	0.0599111
Eva	0.0592789
Calloway	0.0591214
"Jim Kolbe"	0.0590373
Judy	0.0585936
Claude	0.0584879
Donna	0.058404
Frances	0.0582984
"Liu Huaqing"	0.0575146
Patti	0.0573178
Alexandra	0.0569285
Heidi	0.0565835
"Faisal Husseini"	0.0565194
"Kresimir Zubak"	0.0562737
"Marc Hodler"	0.0561792
Cao	0.0559481
Jenny	0.0556629
Clara	0.0555333
Cathy	0.0554092
Molly	0.055372
Susie	0.0553644
Dana	0.0551773
Barbour	0.0550136
Helene	0.0546076
D-Texas	0.0543434
Surfside	0.0540914
Sund	0.0537914
Sally	0.0537504
Camille	0.0536086
Azizan	0.0535457
"Luo Gan"	0.053361
Katie	0.0532751
"U.S. Administration"	0.0531325
Fu	0.0530372
Pam	0.0528663
"Kevan Gosper"	0.0527794
"Hu Jintao"	0.0526482
Michelle	0.05243
Stella	0.0524037
Melinda	0.0522918
"registered nurse"	0.0521848
"Sam Wyly"	0.0521125
"Martin Luther King III"	0.0520391
Beverly	0.0519512
"Anita DeFrantz"	0.0517769
"Zou Jiahua"	0.0511779
Marichal	0.0511483
Kolbe	0.0510589
"Vanessa Williams"	0.0510274
Duane	0.0508761
Un-yong	0.050682
"Penelope Cruz"	0.0505829
"Al Joyner"	0.0505729
Jana	0.0504779
Nora	0.050444
Shannon	0.0504301
Qiao	0.0503374
Johanna	0.0502951
Debra	0.0501498
gloria	0.0500955
"Haim Ramon"	0.0500367
"Wu Bangguo"	0.0499445
"Dick Pound"	0.0496226
"Yossi Beilin"	0.0494297
Danielle	0.048954
"Chief Executive Tung Chee-hwa"	0.0489304
Ethel	0.0488558
Polly	0.0487051
Brooke	0.0483555
Angela	0.0483114
"Li Lanqing"	0.0482088
Helen	0.0480962
Janice	0.0480512
Hannah	0.0479719
Pauline	0.0478712
Hadassah	0.0478162
"Wu Yi"	0.047587
IFC	0.0473464
"Ward Connerly"	0.04733
Loretta	0.047115
Hadley	0.0469234
))
(Carollo (desc 826.281) (sims
Milbury	0.166355
Lockyer	0.162314
Westendorp	0.157577
Bustamante	0.156978
Warshaw	0.156277
Ruehe	0.15283
Hybl	0.151272
Alarcon	0.15089
Rakhmonov	0.148204
Shevardnadze	0.146157
Teresi	0.140331
Lamberth	0.138636
Arens	0.135657
Vasile	0.135445
Wenger	0.135225
Gullikson	0.133688
Rais	0.132713
ANGELOS	0.131386
"La Russa"	0.1303
Advani	0.129914
Kesri	0.129818
Korman	0.129222
Barshefsky	0.128734
Lehane	0.128546
Scharping	0.128068
Insulza	0.127758
Klestil	0.127471
Inhofe	0.125733
Abdel-Meguid	0.125512
Ikeda	0.124996
Beazley	0.124442
DeFrantz	0.123992
Verney	0.123973
Aventajado	0.123834
Trulock	0.123717
Constantinescu	0.123702
Meissner	0.122945
Hayworth	0.122725
Neilson	0.122408
Erekat	0.122267
LaPierre	0.121411
Luzhkov	0.120904
Goldin	0.120675
Banzer	0.120647
Garcetti	0.120481
Auriemma	0.118588
Indyk	0.118084
Goossen	0.1179
Yastrzhembsky	0.11778
Manley	0.117151
Bergeron	0.117017
Checketts	0.11684
Gosper	0.116592
Bizimungu	0.116286
Wahid	0.115896
Whipple	0.115713
Dodik	0.115659
Ecevit	0.114517
Thayer	0.114064
"Bill Skate"	0.113298
Skiles	0.112998
Schuessel	0.112899
Nasrallah	0.112736
Daft	0.112695
Velayati	0.112167
Denktash	0.111271
Vialli	0.110296
Hamid	0.110123
Reimer	0.109859
McGinnis	0.10972
Buzek	0.10923
Schottenheimer	0.109204
"Al Fayed"	0.108541
Allchin	0.1085
Neeman	0.107506
Ciampi	0.107196
Collymore	0.106761
Burleigh	0.106614
Koirala	0.106481
Bochy	0.106468
Aleman	0.106372
Finneran	0.106018
Ashrawi	0.105777
Guei	0.105592
Caddell	0.105486
Hirschbeck	0.105035
McCurry	0.104771
Sharansky	0.104193
Hoddle	0.104119
"Perez Balladares"	0.10387
Lukashenko	0.103845
al-Sahaf	0.103739
Bowen	0.103529
"Turkish Foreign Ministry"	0.103433
Maldini	0.10318
Rothenberg	0.103072
Azizah	0.102985
Piot	0.102617
Fieger	0.102268
hodgson	0.102225
Hauser	0.10222
McKenna	0.101954
Kornberg	0.101849
Soares	0.101514
Moratinos	0.10138
Ohlmeyer	0.101194
"English Football Association"	0.101082
Hynes	0.101015
Klima	0.100812
Nujoma	0.100678
"Chief Executive Tung Chee-hwa"	0.100606
Ritter	0.0998533
Donnan	0.09969
Lipponen	0.0995302
Mowlam	0.0993087
Wolfson	0.0991406
al-Sahhaf	0.0990833
Charest	0.0990685
Kharrazi	0.0986506
Grasso	0.0985094
Choate	0.0984876
Popovich	0.0982718
Sponeck	0.0981852
Hoss	0.0980319
Chavalit	0.0978573
Maslyukov	0.0976338
Cubas	0.0974337
Bratton	0.0974218
Safir	0.0973823
McGuinness	0.0973042
Zambrano	0.0972996
Ganassi	0.0972864
Siazon	0.0971467
Molinari	0.0971061
Chuan	0.0970888
el-Bashir	0.0970792
"Iranian Foreign Ministry"	0.0970686
"Orlando Mercado"	0.096602
Cooley	0.0961686
Dini	0.0961409
"Peter Verniero"	0.0959697
Ftorek	0.0958729
Nickerson	0.0956673
Schuerholz	0.0956198
Buyoya	0.0955936
Nemtsov	0.0955389
Sergeyev	0.0952994
Patel	0.0948539
Troussier	0.0947406
Cuomo	0.0947079
Demaci	0.0946836
Scalfaro	0.0942205
Nazarbayev	0.0941684
Bakaly	0.0940817
Khamenei	0.0940539
Pustovoitenko	0.0938891
Ouattara	0.0937669
Naumann	0.0934834
Flanagan	0.0934309
Majali	0.0933841
Dutton	0.0933693
Bragman	0.0931732
Whitsitt	0.0930842
Napolitano	0.0929908
Kessler	0.0927916
SEABROOK	0.0924517
Vollebaek	0.0923367
Lahoud	0.0921326
"Frederick Sumaye"	0.0920374
Bertelli	0.0919849
Schott	0.0919635
Kuchma	0.0918938
Thapa	0.0918568
Papandreou	0.0918254
Sato	0.0917841
Edelstein	0.0917028
Cornyn	0.0916369
Ivanov	0.0914546
Schrempp	0.0914463
Fassett	0.0914163
"Israeli Foreign Ministry"	0.091328
Sumaye	0.0912162
Waigel	0.091187
Kerrey	0.0911112
Hargrove	0.0910236
Zeroual	0.0909089
Joklik	0.0908521
Rubenstein	0.0907724
Bruton	0.0906871
Singson	0.0906508
Hodler	0.0905052
Kyl	0.0904997
Sensenbrenner	0.0904746
Lafleur	0.0904186
"Amos Wako"	0.0903946
Sharaa	0.0903136
Ogata	0.0903007
Jovanovic	0.0902866
"administration official"	0.0901
Briscoe	0.0900629
))
(Carolyn (desc 6123.35) (sims
"Carolyn Bessette Kennedy"	0.256438
Kristin	0.174372
Eileen	0.163605
Pam	0.153112
Susan	0.150403
Lynne	0.146785
Suzanne	0.146559
Edith	0.144
Stephanie	0.143205
Cindy	0.13955
Caroline	0.139048
Diane	0.138329
Cathy	0.136328
alicia	0.136313
Brenda	0.136249
"Azizah Ismail"	0.133943
Lisa	0.133793
Kathy	0.132185
Debbie	0.132149
Patricia	0.131409
Lori	0.131126
Kathryn	0.129938
Jacqueline	0.12993
Olga	0.128635
Rita	0.127449
Sonia	0.126895
Doris	0.125577
Denise	0.125442
Barbara	0.125302
Kathleen	0.125154
Michele	0.124603
Christine	0.123894
Millie	0.123223
Maureen	0.120857
Valerie	0.120493
Julie	0.120235
JoAnne	0.119906
Josephine	0.119894
Lydia	0.119788
Evelyn	0.118606
Cheryl	0.117355
Juanita	0.117166
Cherie	0.116874
Melinda	0.115987
Connie	0.114891
Judy	0.114738
Beverly	0.114222
Tracey	0.114192
"Patsy Ramsey"	0.11383
Vicki	0.1138
Julia	0.113308
Janet	0.112296
Pauline	0.112211
Dorothy	0.111524
Sarah	0.11145
Helen	0.111085
gloria	0.11077
Nancy	0.110678
Alexandra	0.110632
Janice	0.110594
Donna	0.109746
Michelle	0.108965
Jill	0.108553
Terri	0.108518
Kimberly	0.108263
Deborah	0.107462
Jennifer	0.106098
Paula	0.105554
colleen	0.105516
Phyllis	0.105341
Marie	0.105284
Sara	0.105243
Eleanor	0.105236
Margaret	0.105097
Peggy	0.104774
Karen	0.10428
Sheryl	0.104104
Lois	0.104086
Irina	0.103905
Sylvia	0.103886
Linda	0.103476
Liz	0.103131
Hadassah	0.102567
Dolores	0.102528
Claudia	0.102264
Emily	0.101318
Annie	0.100947
Laura	0.100901
Katie	0.100881
Jeanne	0.100762
Rebecca	0.100746
Brooke	0.100597
Frances	0.100319
Marian	0.100082
Carol	0.0999146
Erica	0.0995575
Debra	0.0992742
Natalie	0.0988348
Monique	0.0986728
Nora	0.0983306
Polly	0.0977525
Marta	0.0976746
Marlene	0.0974649
Rhonda	0.0973766
Sandra	0.097313
Teresa	0.0971785
Meg	0.0971721
"Lauren Bessette"	0.096981
Beth	0.0969613
Stella	0.0968486
Jessica	0.0962272
Shirley	0.0959217
Roberta	0.0955041
Amy	0.0948714
Lynn	0.0947601
ANN	0.0942732
Cynthia	0.0940206
Leah	0.0936621
Lauren	0.0935372
Ashley	0.0932246
hazel	0.0930245
Laurie	0.0924979
anna	0.0918359
Theresa	0.0913829
Audrey	0.0910936
Karenna	0.0910375
Elaine	0.0910349
Rachel	0.0906889
Wanda	0.0904525
Betsy	0.0900372
Beatrice	0.0897344
Angela	0.0896725
Pamela	0.0895531
Naomi	0.0888699
Gail	0.0887834
Sally	0.0887161
Claire	0.0886861
Jenny	0.0882489
Betty	0.0881077
Anne	0.0880794
Clara	0.0879995
Melissa	0.0879699
Vera	0.0877509
Agnes	0.0876585
Andrea	0.0868208
Patti	0.0868028
Nicole	0.0866667
Martha	0.08661
Ellen	0.0861476
Camille	0.0861071
Jane	0.0853722
Anita	0.0850505
Joan	0.0850468
Elizabeth	0.0845972
Robin	0.0844657
Christina	0.0837413
Tipper	0.0836267
Heidi	0.0833223
Jamie	0.0831661
Sheila	0.0828147
Jackie	0.082594
Miriam	0.0821217
Erin	0.0813531
Esther	0.0812146
Lucia	0.0807615
Hannah	0.0801141
Paulina	0.0799728
Marilyn	0.0797813
Vivian	0.0797808
Louise	0.0796774
Emma	0.0795769
Jessie	0.0795528
sandy	0.0794906
patsy	0.0791812
Maria	0.0790449
Marcia	0.0790235
Katherine	0.0790178
Lyn	0.0789655
Shannon	0.0788793
Mona	0.0786855
Lorraine	0.0786761
Winnie	0.0779564
Kate	0.0778423
Vanessa	0.0772407
Meredith	0.0768076
"Queen Noor"	0.0765341
Alice	0.0765163
Kay	0.0763903
"Barbara Bush"	0.07628
Elena	0.0762679
Tina	0.0759661
Marianne	0.0758888
Sophie	0.0755927
"Graca Machel"	0.075223
Renee	0.0751437
Samantha	0.0749923
Catherine	0.0747087
"Leigh Ann"	0.0746855
Melanie	0.07461
Mary	0.0745998
))
("Carolyn Bessette Kennedy" (desc 3025.36) (sims
Carolyn	0.256438
"Lauren Bessette"	0.199714
"Azizah Ismail"	0.130778
Juanita	0.128698
Caroline	0.126695
Lynne	0.124745
Eileen	0.116791
Jacqueline	0.113091
Cherie	0.112732
Phyllis	0.111961
Kristin	0.111409
Hadassah	0.110644
Rita	0.110532
Kathleen	0.110249
"Caroline Kennedy Schlossberg"	0.109579
Marta	0.10891
Cindy	0.107157
Sylvia	0.105512
Dolores	0.104743
"Wang Yeping"	0.104087
alicia	0.102167
Pam	0.102034
Doris	0.10189
Brenda	0.100529
Dorothy	0.0998645
Camille	0.0995732
Vicki	0.09926
Tracey	0.0989549
Patricia	0.098541
Helen	0.0970114
"Graca Machel"	0.0957207
Beverly	0.0956299
Debbie	0.0954245
Cathy	0.0953732
Suzanne	0.0952148
Maureen	0.0950951
Margaret	0.0950144
Bessette	0.0945892
Connie	0.0944465
Olga	0.0942004
Christine	0.0940683
Sonia	0.0930864
Monique	0.0926779
Terri	0.0913816
"Princess Diana"	0.0910643
Karen	0.0907331
Irina	0.0906927
Sara	0.090523
Lori	0.0904369
Stephanie	0.0902163
Denise	0.0899672
Lisa	0.0899508
Vera	0.0899067
Sheryl	0.0895017
Teresa	0.0891205
"Nicole Brown Simpson"	0.0890603
Lydia	0.0888979
Evelyn	0.0885791
"Zhu Lin"	0.0882522
"Leigh Ann"	0.0874603
"John F. Kennedy Jr."	0.0871551
Michele	0.0867948
Linda	0.0865569
Marian	0.0859891
Judy	0.0858406
Josephine	0.0856691
Marianne	0.0851644
Elaine	0.0848493
Lois	0.0848253
Kathy	0.0848167
Beth	0.0844526
Julie	0.0839873
Cheryl	0.0839489
Winnie	0.0835221
Lorraine	0.083256
Susan	0.0828613
Janet	0.0827993
Debra	0.082799
Eleanor	0.0825537
Millie	0.0816171
Diane	0.0815385
Kathryn	0.0814614
Jeanne	0.0805779
Alexandra	0.0799535
Barbara	0.0799062
Nancy	0.0792705
Jill	0.0792362
JoAnne	0.0783279
Peggy	0.0779653
gloria	0.077322
Anita	0.076889
Edith	0.0763255
"Queen Noor"	0.075378
Elena	0.0753526
Donna	0.0751674
Roberta	0.0746679
Marilyn	0.0743577
Tipper	0.074256
Esther	0.0741512
Sandra	0.0730249
Valerie	0.0729828
Claudia	0.0729277
hazel	0.0725695
Polly	0.0725174
Michelle	0.0725123
Marie	0.0724414
Cynthia	0.0723601
Sally	0.0722453
Clara	0.0721112
Anne	0.0719081
Erica	0.0716458
Theresa	0.0714427
"one of the boys"	0.0713204
sister-in-law	0.0709074
Frances	0.0708572
Laura	0.0707723
"JFK Jr."	0.0703619
Norma	0.069779
"Patsy Ramsey"	0.0695862
Rhonda	0.0693768
Pauline	0.0693563
Shirley	0.0692906
Agnes	0.0689096
Lucia	0.0688432
Martha	0.0687029
"John Kennedy Jr."	0.0686036
Annie	0.0681955
Rebecca	0.068052
Sarah	0.0679296
Sheila	0.0674541
Carol	0.0667691
Lynn	0.0667394
Marlene	0.0659163
Liz	0.0654421
"John Jr."	0.0649952
Amy	0.0649152
Julia	0.0649022
Paula	0.064072
crewmembers	0.0640362
"Carmen Electra"	0.0638249
colleen	0.063822
Brooke	0.0637159
Beatrice	0.0636536
ANN	0.0635695
Jennifer	0.0635452
deceased	0.0634471
Stella	0.0633765
Laurie	0.0627624
Nina	0.0627327
Pamela	0.0624634
Colette	0.062255
Nada	0.0621094
"Florence Griffith Joyner"	0.0620643
Audrey	0.0619789
"Caroline Kennedy"	0.0617603
Miriam	0.0616194
Gail	0.0615989
"Tipper Gore"	0.0614824
Nicole	0.0614542
Andrea	0.0613851
Thelma	0.0612894
Dora	0.0609032
Betty	0.0605042
Ummi	0.0602966
Meredith	0.060223
Emma	0.0598502
Heidi	0.0597161
Natalie	0.0596271
nephew	0.0596261
Lauren	0.0593117
Ronnie	0.0590653
anna	0.058927
Maria	0.058918
Robin	0.0586447
"Karenna Gore Schiff"	0.0586147
Alma	0.0586015
pre	0.057738
becky	0.0577032
Deborah	0.0574286
Elizabeth	0.0573962
daphne	0.0573955
Claire	0.057305
Jackie	0.0572509
Kimberly	0.0570356
Jane	0.0570216
sandy	0.057021
Melinda	0.0569431
stepchildren	0.0566001
patsy	0.0565278
Jenny	0.056417
Yarmila	0.0564109
Angela	0.0563162
Betsy	0.0562698
mother-in-law	0.0561621
"Laura Bush"	0.0561582
Patti	0.0559851
Alison	0.0557632
Gillian	0.0557313
Marcia	0.0554087
Helene	0.0553759
))
("Carolyn Maloney" (desc 1833.59) (sims
"Jerrold Nadler"	0.513405
"Carolyn McCarthy"	0.394935
"Nita Lowey"	0.352486
"Charles Rangel"	0.349365
"Jose Serrano"	0.328567
"Charles E. Schumer"	0.284386
"Sherwood Boehlert"	0.209931
"Charles Schumer"	0.209716
"Jack Quinn"	0.202328
"Sue Kelly"	0.200937
"David Dreier"	0.195488
"Zoe Lofgren"	0.182494
"Daniel Patrick Moynihan"	0.178675
"Henry Waxman"	0.176032
"Michael Forbes"	0.171737
"Sheila Jackson Lee"	0.170119
"Charles Stenholm"	0.165191
"John Conyers"	0.162842
"Norm Dicks"	0.158866
"Barney Frank"	0.157633
"Susan Molinari"	0.157534
"Benjamin Gilman"	0.155093
"Porter Goss"	0.154213
"Peter King"	0.151938
"Lloyd Doggett"	0.151149
"Billy Tauzin"	0.148008
"Nancy Pelosi"	0.146947
"Matt Salmon"	0.146731
"Dan Miller"	0.145163
"Chuck Schumer"	0.144097
"Robert Menendez"	0.143997
"George Gekas"	0.143621
"Curt Weldon"	0.142055
"Loretta Sanchez"	0.140291
"Amo Houghton"	0.139217
"George Nethercutt"	0.138977
"Eliot Spitzer"	0.138634
"Richard Gephardt"	0.136999
"Mark Foley"	0.13493
"Charlie Norwood"	0.133972
"John Sweeney"	0.133424
"Jim McDermott"	0.132738
"David Bonior"	0.13262
"Christopher Shays"	0.132149
"John Conyers Jr."	0.13109
"John Dingell"	0.12909
"Connie Morella"	0.128085
"Jim Kolbe"	0.127773
"Martin Meehan"	0.126915
"Ron Paul"	0.123144
"George Miller"	0.122291
"Henry Bonilla"	0.121836
"Martin Frost"	0.121047
"Charles Canady"	0.120208
"Geraldine Ferraro"	0.117939
D-N.Y.	0.116507
"Mary Bono"	0.1149
"Nancy Johnson"	0.11235
"Sheldon Silver"	0.111725
"Patrick Kennedy"	0.111418
"Jim Bunning"	0.111221
"Lee Hamilton"	0.111023
"Ed Bryant"	0.110796
"Maxine Waters"	0.109211
Biden	0.108163
"Christopher Cox"	0.105313
"Patrick Leahy"	0.103572
"Carl Levin"	0.102885
"Jim Turner"	0.102881
"Max Baucus"	0.102006
"Marge Roukema"	0.101736
"Tillie Fowler"	0.101467
"Jim Leach"	0.0973871
"Steve Chabot"	0.0973392
"Jennifer Dunn"	0.0962306
Moakley	0.096065
"Tom Coburn"	0.0959916
"Rick Lazio"	0.0952786
"Mark Green"	0.0952333
"Tom Hayden"	0.0949552
"Bob Barr"	0.0949079
"Russ Feingold"	0.0947639
"Asa Hutchinson"	0.0944252
"Alfonse D'Amato"	0.0943033
"Bill Lockyer"	0.0940234
"James Sensenbrenner"	0.0923588
"Robert C. Byrd"	0.0919862
"Tom Campbell"	0.0913654
"Tom Vilsack"	0.0911343
"Lamar Smith"	0.0907252
Rangel	0.0899422
"James Rogan"	0.0899356
Markey	0.0888013
"Steve Largent"	0.0883088
"John Lewis"	0.0881917
Moynihan	0.0879706
"Mario Cuomo"	0.0877141
"Bill Archer"	0.0872847
"Byron Dorgan"	0.0860169
"Ron Wyden"	0.0856615
"Robert Torricelli"	0.0854276
Harkin	0.0849394
"Frank Lautenberg"	0.0848645
"Roy Barnes"	0.0843033
"Bill Thomas"	0.0828797
"Chris Smith"	0.0826332
"Craig Thomas"	0.0825028
"Don Young"	0.0824206
"J.C. Watts"	0.0818314
"Bernard Sanders"	0.0814518
Piot	0.0807543
"Parris Glendening"	0.0807056
"Tom Harkin"	0.0788575
Conyers	0.0787661
"Jim Hodges"	0.0783373
"Secretary General Esmat Abdul-Meguid"	0.0780973
Schumer	0.0778847
Nadler	0.0777218
"John Linder"	0.0775818
"Paul Patton"	0.0773532
"Greg Ganske"	0.0765683
"Dianne Feinstein"	0.0764033
"John Warner"	0.0761246
"Peter Vallone"	0.0759994
"Bill McCollum"	0.0751192
Maloney	0.0748758
D-Vt.	0.0746803
"George E. Pataki"	0.0744002
"Edward Kennedy"	0.0737897
"Betty Friedan"	0.0737152
Dingell	0.0736796
"Bob Graham"	0.0735859
"Linda Smith"	0.0733244
"Tom Daschle"	0.0732393
"Richard Durbin"	0.0730022
Rendell	0.0726517
Ainge	0.0724133
"Russell Feingold"	0.072247
"Lindsey Graham"	0.0720756
"Tim Johnson"	0.0718409
"Fred Upton"	0.0716675
D'Alessandro	0.071032
Strauss-Kahn	0.0708935
Jovanovic	0.0702941
"Jim Hunt"	0.0698729
Bruton	0.0695921
"John Boehner"	0.0690651
"Edward M. Kennedy"	0.0689092
"John Cornyn"	0.0687915
"John Edwards"	0.0681687
D-Md.	0.0676268
"Congressional Democrats"	0.0662276
"Gary Locke"	0.0659495
"Adam Smith"	0.0656602
Ikimi	0.0651118
"Al Sharpton"	0.0650704
"Dick Gephardt"	0.0649111
"Mark Sanford"	0.0645857
"Robert Livingston"	0.0641982
"Jack Kingston"	0.0640099
Feingold	0.0639544
"Dick Armey"	0.0638679
Zou	0.063591
"Jeff Sessions"	0.0635425
"Richard Blumenthal"	0.0629206
Comptroller	0.0627501
"Thad Cochran"	0.0626632
"Christopher Smith"	0.0625081
"Barbara Boxer"	0.0624602
"Barbara Mikulski"	0.0624347
Dorgan	0.0618051
Cuomo	0.0617524
"Dan Burton"	0.0617361
"Robert Bennett"	0.0610101
Siegelman	0.0609754
Pelosi	0.0606165
Leahy	0.06057
"Eastern District"	0.0603009
Meguid	0.0602648
"Jack Valenti"	0.0602271
Lautenberg	0.0602004
Molinari	0.0598026
Knowles	0.0597636
Fieger	0.0597274
"Ernest Hollings"	0.0595256
"Blanche Lincoln"	0.0594356
Waxman	0.0590628
"Joe Lockhart"	0.0589776
"Kent Conrad"	0.0588534
Nickerson	0.0587494
Cortines	0.0585155
"management expert"	0.0585022
Glendening	0.058421
"Charles Robb"	0.058233
Bodine	0.0581668
Musgrove	0.0581233
"Joseph Biden"	0.058012
Shays	0.0580113
"Joseph Lieberman"	0.0579629
D-N.J.	0.0578565
))
("Carolyn McCarthy" (desc 1778.01) (sims
"Nita Lowey"	0.415844
"Carolyn Maloney"	0.394935
"Jerrold Nadler"	0.365705
"Charles E. Schumer"	0.332231
"Jose Serrano"	0.304898
"Charles Rangel"	0.293831
"Jack Quinn"	0.209685
"Charles Schumer"	0.203683
"Daniel Patrick Moynihan"	0.202637
"David Dreier"	0.199942
"Peter King"	0.196938
"Michael Forbes"	0.194667
"John Dingell"	0.194532
"John Conyers"	0.182091
"Sherwood Boehlert"	0.181845
"Christopher Shays"	0.178187
"Sue Kelly"	0.177391
"Porter Goss"	0.172967
"Dan Miller"	0.166049
"Nancy Pelosi"	0.162104
"Sheila Jackson Lee"	0.161735
"Benjamin Gilman"	0.161244
"Robert Menendez"	0.155151
"Jim Kolbe"	0.153388
"Chuck Schumer"	0.152597
"Lamar Smith"	0.14769
"George Gekas"	0.145788
"Martin Meehan"	0.144546
"George Miller"	0.144272
"Martin Frost"	0.142186
"Charles Canady"	0.141967
"Charlie Norwood"	0.141866
"Asa Hutchinson"	0.14098
"Mark Foley"	0.139899
"Henry Waxman"	0.139771
"Ed Bryant"	0.135299
"John Linder"	0.134847
"Tom Campbell"	0.134573
"Christopher Smith"	0.134491
"Jim Leach"	0.134101
"Zoe Lofgren"	0.133189
"Maxine Waters"	0.132656
"Charles Stenholm"	0.132591
"Geraldine Ferraro"	0.131726
"John Boehner"	0.13158
"Rick Lazio"	0.130165
"Chris Smith"	0.127734
"Barney Frank"	0.126272
"Bernard Sanders"	0.125742
"Patrick Kennedy"	0.125003
"George Nethercutt"	0.123223
"Christopher Cox"	0.121759
"Amo Houghton"	0.121473
"Curt Weldon"	0.121436
"Lloyd Doggett"	0.120955
"J.C. Watts"	0.120243
"Susan Molinari"	0.119227
"Jim Bunning"	0.117478
"Jennifer Dunn"	0.116841
"Bill McCollum"	0.116169
"Matt Salmon"	0.115955
"Steve Largent"	0.11595
"Lee Hamilton"	0.115322
"Connie Morella"	0.114863
"Richard Gephardt"	0.114045
"Bob Barr"	0.113587
"Billy Tauzin"	0.11253
"Greg Ganske"	0.111318
"Mary Bono"	0.111109
D-N.Y.	0.110827
"Tillie Fowler"	0.108536
"Norm Dicks"	0.108199
"Lindsey Graham"	0.108006
"John Sweeney"	0.10715
"Bill Thomas"	0.107002
"Loretta Sanchez"	0.103715
"John Lewis"	0.103399
"Ron Paul"	0.102937
"Robert Torricelli"	0.102852
"James Sensenbrenner"	0.101314
"Bill Archer"	0.100887
"Mark Green"	0.100544
"James Rogan"	0.0998297
"Jim Turner"	0.099121
"Jack Kingston"	0.0989353
"David Bonior"	0.0980037
"Henry Bonilla"	0.0968985
"Marge Roukema"	0.0940597
"Jim McDermott"	0.0933953
Moynihan	0.0919591
"Don Young"	0.0918406
"Frank Lautenberg"	0.0891243
"Patrick Leahy"	0.0884168
"Roy Barnes"	0.0876009
"Steve Chabot"	0.0874348
Biden	0.085905
"Eliot Spitzer"	0.0847596
"Nancy Johnson"	0.0847105
"Tom Coburn"	0.0846687
"Robert Livingston"	0.0842112
"Mario Cuomo"	0.0833086
"Charlene Barshefsky"	0.0820323
"Tom Davis"	0.0816696
"William Roth"	0.0803155
"Linda Smith"	0.0797511
"Bill Frist"	0.0797265
"Tom Daschle"	0.0781153
"Bob Graham"	0.0764562
"Tim Johnson"	0.0749107
"Gloria Steinem"	0.0747834
"Max Baucus"	0.0743408
"Henry Hyde"	0.0742409
"Tom DeLay"	0.0740123
"Dick Armey"	0.0735291
"Imelda Marcos"	0.0733881
"Bob Franks"	0.0733364
"Edward Kennedy"	0.0708489
Rangel	0.0706391
"Fred Upton"	0.0705908
"Dan Burton"	0.0704899
"Barbara Boxer"	0.0700114
"Edward M. Kennedy"	0.0696678
Schumer	0.0689901
"Olympia Snowe"	0.068957
"Paul Wellstone"	0.068052
"Mark Sanford"	0.0679096
"John Kasich"	0.0673761
"Alfonse D'Amato"	0.0662456
"Paul Coverdell"	0.0660887
"Kay Bailey Hutchison"	0.0660359
"South Shore"	0.0659247
"Dianne Feinstein"	0.0657996
"Dick Gephardt"	0.0649606
"Tom Hayden"	0.0638373
"Mickey Kantor"	0.062907
"Ron Wyden"	0.0616328
Heinrichs	0.0615565
"Faisal Husseini"	0.0609198
"Jim Hodges"	0.0606902
"Robert Byrd"	0.0601749
"Carlos Westendorp"	0.0599883
"Max Cleland"	0.0589847
"Robert C. Byrd"	0.05893
Moakley	0.0587582
"Al D'Amato"	0.0587532
"New York Democrat"	0.0566344
"Carl Levin"	0.0564404
"Robert Bennett"	0.0559486
"Frank Murkowski"	0.0553377
"Adam Smith"	0.0552103
"Ernest Hollings"	0.0552047
"Russell Feingold"	0.0546437
"Byron Dorgan"	0.0545145
"Pete Domenici"	0.0545084
"John Warner"	0.0544448
"Craig Thomas"	0.0543956
"Spencer Abraham"	0.0540443
"Parris Glendening"	0.053965
"Jim Hunt"	0.0538568
"Tony Coelho"	0.0536559
"China Youth Development Foundation"	0.0536146
"Fred Thompson"	0.0534578
"Thad Cochran"	0.0533917
Leahy	0.0530624
"Des Moines Register"	0.0530103
Dougherty	0.0525952
Jacobsen	0.0524555
"Ministry of Posts"	0.0523211
"Tom Harkin"	0.0523036
"John Kerry"	0.0522907
"Adem Demaci"	0.0521489
"Beijing Municipal Government"	0.0520362
Ikimi	0.0519159
"Caroline Kennedy"	0.0519054
"Mastercard International"	0.0515358
"East End"	0.0510849
"Second Session"	0.0510398
"North Shore"	0.0508638
"Chinese Society"	0.0508317
"Jesse Jackson"	0.0505801
"National Abortion and Reproductive Rights Action League"	0.0504892
"Bob Livingston"	0.0504561
"Eastern District"	0.0504544
Schmid	0.0501761
"George E. Pataki"	0.0498928
"Don Nickles"	0.0498365
Dewine	0.0497841
Paxon	0.0495889
"Seattle Post-Intelligencer"	0.0492729
"Charles Schwab &AMP; Co."	0.0490024
"China National Tourism Administration"	0.0488448
"Richard Durbin"	0.0483908
Rau	0.0483786
"Robert F. Kennedy"	0.0483155
"House Majority Whip Tom DeLay"	0.048062
"Debra Weydert"	0.0477569
Jovanovic	0.0477483
"Richard Shelby"	0.0476098
Lowey	0.0475256
Shamshad	0.0475209
))
(carotene (desc 2054.57) (sims
"vitamin E"	0.227845
"folic acid"	0.225247
"vitamin C"	0.20808
potassium	0.190584
selenium	0.18714
"vitamin D"	0.18558
"vitamin A"	0.184283
lycopene	0.178127
antioxidant	0.174077
folate	0.163434
Calcium	0.156458
ephedra	0.146288
iodine	0.139336
"B vitamin"	0.122433
magnesium	0.118731
vitamin	0.118689
interferon	0.118317
phosphorus	0.117489
Zinc	0.107026
"fish oil"	0.100953
nutrient	0.0999085
"amino acid"	0.0971317
estrogen	0.0956947
androstenedione	0.089465
"fatty acid"	0.0894537
nitrogen	0.088798
starch	0.0848721
creatine	0.0845073
fluoride	0.0837825
benzene	0.0835658
"carbon monoxide"	0.0831798
protein	0.0798384
carbohydrate	0.0792385
caffeine	0.0768563
sodium	0.0743444
"nitrogen oxide"	0.0738343
radioactivity	0.0720322
Sulphur	0.070624
lactose	0.0706114
"green tea"	0.0699068
acid	0.0695197
testosterone	0.0693524
melatonin	0.0690642
blocker	0.0690382
CFCs	0.0682556
carbon	0.0672124
cortisone	0.0667238
sulfur	0.0666851
chlorine	0.0666831
beta	0.0643021
chloride	0.0640003
chromium	0.0637901
pseudoephedrine	0.0632992
capsaicin	0.0632883
MDMA	0.0629135
nitrate	0.0627731
nitroglycerin	0.0625095
ephedrine	0.062035
hormone	0.0619646
carcinogen	0.0601015
D.	0.0598765
impurity	0.0593125
weight-loss	0.0589034
"hydrogen sulfide"	0.0587436
"water vapor"	0.0586257
dioxins	0.0584318
sulfate	0.0584
acetaminophen	0.0582834
"essential oil"	0.0582698
soy	0.0566881
andro	0.0562684
nicotine	0.0559563
placebo	0.0557863
manganese	0.055446
PCBs	0.0550917
"sulfur dioxide"	0.0548991
verbiage	0.0544717
"organic compound"	0.053808
dioxin	0.0537213
supplementation	0.0534543
collagen	0.0533772
olestra	0.0526296
glucose	0.0513872
cyanide	0.0512647
soot	0.0508967
ammonia	0.0505251
"growth hormone"	0.0505224
laxative	0.0505065
arsenic	0.0504029
leptin	0.0500034
plutonium	0.0498766
tritium	0.0497645
"blood sugar"	0.0496768
cellulose	0.0495112
allergen	0.0493775
talc	0.049359
"elbow room"	0.04854
"breathing room"	0.0481487
"embryonic cell"	0.0481191
calory	0.0480754
"animal fat"	0.0476517
"carbon dioxide"	0.0475663
horsepower	0.0472421
homocysteine	0.0471512
"St. John's wort"	0.0468456
"Red Violin"	0.0464186
GHB	0.0462556
"Ginkgo biloba"	0.0460694
"Official Development Assistance"	0.0460507
photosynthesis	0.045957
insulin	0.0459282
"History Channel"	0.0456415
cushioning	0.0455363
pizazz	0.0454663
echinacea	0.045349
preservative	0.0452205
Radon	0.0451931
enzyme	0.0447151
aerosol	0.0442482
ginkgo	0.044006
"T cell"	0.0437632
AmeriTrade	0.0435765
F.	0.0434528
oomph	0.0433141
tannin	0.0430137
additive	0.0429768
hGH	0.0429122
"civic pride"	0.0428261
hydrogen	0.0427622
"social assistance"	0.0424679
methane	0.0422029
B@	0.0420669
telomerase	0.041894
ozone	0.0417477
dopamine	0.0415837
helium	0.0415653
"Discovery Channel"	0.0411565
"billion over @@ years"	0.0410907
calorie	0.0410409
variability	0.0410087
tremolite	0.040986
B@@	0.0409635
HDL	0.040961
contaminant	0.0408588
"nitrogen dioxide"	0.0407856
antihistamine	0.040769
"foot traffic"	0.0407474
amphetamine	0.0407171
methamphetamine	0.0406485
mucus	0.0405338
headroom	0.0401826
sweetener	0.0400487
))
(carousel (desc 8563.13) (sims
merry-go-round	0.161862
Showboat	0.0850147
trolley	0.0750976
"Passion play"	0.0702179
"West Side Story"	0.0695791
"Ferris wheel"	0.0680663
"roller coaster"	0.0648205
sleigh	0.0616243
"Annie Get Your Gun"	0.0595852
"shuttle bus"	0.0582633
Cinderella	0.0548788
cabaret	0.0542408
Tram	0.0532426
ragtime	0.0510673
tricycle	0.0509288
escalator	0.0509037
"dance hall"	0.0505977
"old times"	0.0499216
turntable	0.0499064
"Music Man"	0.0495252
"Lion King"	0.0493749
"X-ray machine"	0.0492413
"cable car"	0.0484582
sled	0.0478539
scooter	0.0471581
Jukebox	0.0465319
"conveyor belt"	0.0463441
chairlift	0.0462422
"hot-air balloon"	0.046228
"amusement park"	0.0457613
coaster	0.0453361
Fosse	0.0453061
elevator	0.0448334
mantelpiece	0.0443967
biplane	0.0440248
glider	0.0438037
Revue	0.0437472
Streetcar	0.0433011
"picture frame"	0.043189
Rodgers	0.0430748
"South Pacific"	0.0426678
"clothing store"	0.0425342
"racing car"	0.0421818
"sailing vessel"	0.0420431
"Peony Pavilion"	0.0414269
Stagecoach	0.040905
"Iceman Cometh"	0.0407989
follies	0.0407544
"Liberty Bell"	0.0406008
bicycle	0.0404399
"Sweeney Todd"	0.0401063
Gurney	0.0400457
))
(carp (desc 4865.98) (sims
sturgeon	0.134947
"sea horse"	0.101171
"striped bass"	0.086431
Buffaloes	0.0847141
salamander	0.0823956
"freshwater fish"	0.0814307
trout	0.0812918
tilapia	0.0812173
"blue crab"	0.0794315
Catfish	0.0786816
geese	0.0785595
turtle	0.0783718
outhit	0.0774455
salmon	0.07732
toad	0.0771435
abalone	0.0766332
"sea turtle"	0.0735438
starling	0.073442
crustacean	0.0721658
Kobayashi	0.0710068
frog	0.070717
shellfish	0.0676974
cod	0.0668768
lobster	0.0666067
redfish	0.0659166
mammal	0.0656056
eel	0.0655161
turbot	0.0652416
snail	0.0648714
pike	0.0647319
prawn	0.0645434
alligator	0.064209
crocodile	0.0637942
reptile	0.0635227
Daiei	0.0633802
goldfish	0.0631109
grouper	0.0628314
crawfish	0.062808
Whitefish	0.0617684
scorpion	0.0617532
Bass	0.0616082
seaweed	0.0606472
plankton	0.0606048
shark	0.0605532
"rainbow trout"	0.0601178
Yomiuri	0.0599279
mollusk	0.0599217
"female body"	0.0596386
Jonsson	0.0594389
tuna	0.0587988
shrimp	0.0583834
minnow	0.0582088
herring	0.057871
Rostock	0.0576454
seabird	0.0574859
mussel	0.0572479
dolphin	0.0571484
vertebrate	0.0564396
amphibian	0.0564126
bullfrog	0.0562752
rhinoceros	0.0561183
lemur	0.055704
striper	0.0555713
waterfowl	0.0553986
poultry	0.0551454
deer	0.0551233
oyster	0.0546496
steelhead	0.0546463
parakeet	0.0545861
crab	0.0535962
Firefly	0.0527652
rhino	0.0527555
fern	0.0523195
"bluefin tuna"	0.0516731
dragon	0.0514915
shad	0.0513616
kangaroo	0.0512874
"Atlantic salmon"	0.0511328
Salernitana	0.050937
Ilie	0.0507338
halibut	0.0505914
monkey	0.0505374
sparrow	0.0501372
Sturm	0.0500428
tarpon	0.0500082
Marineau	0.0499526
plum	0.0497454
"half time"	0.0495349
lizard	0.0493378
Wilander	0.0490904
pigeon	0.0489554
mice	0.0489393
cormorant	0.0488812
walleye	0.0487566
rodent	0.0481159
"right whale"	0.0480958
crabs	0.0480901
butterfly	0.0475618
dragonfly	0.0475493
rat	0.0475197
Murrell	0.0472762
octopus	0.0467461
Karlsson	0.0466927
Shenhua	0.0466457
Lindland	0.0466262
Tong	0.0466001
peony	0.0465926
Andrei	0.0465489
RSA	0.0464973
insect	0.0463431
"flowering plant"	0.0462916
coral	0.0461554
rabbit	0.0461271
wage-earner	0.0460215
Edberg	0.04597
"white blood cell"	0.0459365
SNPs	0.0458685
weevil	0.045851
Stolle	0.0456293
Turgeon	0.045499
"sea bird"	0.0454342
"brook trout"	0.0451875
Hongyuan	0.0451157
Livestock	0.0450753
Haddock	0.0449158
gourd	0.0447275
"brown trout"	0.0446994
owl	0.0446583
Likhovtseva	0.0445494
fauna	0.0445442
hamster	0.0443395
predator	0.0442961
squirrel	0.0442597
porpoise	0.0440864
Ita	0.0440406
sheep	0.0439732
"horseshoe crab"	0.0439407
leech	0.0438229
"American Chanda Rubin"	0.0436271
"rare bird"	0.043468
piglet	0.0434621
ostrich	0.0434396
oxen	0.0434287
tern	0.0433688
boar	0.0432773
outshot	0.0432453
Nakata	0.0430871
tortoise	0.0430726
iguana	0.043023
Nicol	0.0429368
egret	0.0428498
Detmer	0.0428002
Kremer	0.0427747
spider	0.0426432
PSV	0.0424774
parrot	0.0421541
Bastia	0.0416748
mosquito	0.0416704
Leverkusen	0.0416383
coho	0.0414439
Takahashi	0.0414078
microorganism	0.0413602
Dosedel	0.0412498
goat	0.0410188
"black bear"	0.0410092
Berasategui	0.0409445
"hunting knife"	0.0409122
fungus	0.0409056
maggot	0.0408201
"milk cow"	0.0406765
Kawasaki	0.0404937
Mantilla	0.0404672
Stoltenberg	0.0403143
"voting machine"	0.0402805
Duisburg	0.0401919
Haarhuis	0.0401579
tiebreak	0.0401559
woodpecker	0.0400114
))
(Carpaccio (desc 1224.8) (sims
Loin	0.117341
TARTARE	0.113976
fajitas	0.108554
fillet	0.107678
bisque	0.102863
filet	0.0983748
kebab	0.0884463
drumstick	0.0858526
medallion	0.0800262
crepe	0.0798232
prosciutto	0.0789285
cutlet	0.0787975
burgers	0.0774755
cannery	0.076751
"short ribs"	0.0747412
tenderloin	0.0715331
Stroganoff	0.0712417
chowder	0.0711331
ravioli	0.0710431
sashimi	0.0680944
confit	0.0678716
"vegetable soup"	0.0664923
burger	0.0662024
risotto	0.0653905
frittata	0.0650764
taco	0.0648912
prawn	0.0646526
arugula	0.062885
terrine	0.0627578
"chicken breast"	0.0611577
brioche	0.0598377
pancake	0.0593925
meatloaf	0.0575591
"scrambled egg"	0.0561065
quesadillas	0.0553127
"fruit salad"	0.0550733
"wild rice"	0.0548043
"iceberg lettuce"	0.0538038
sorbet	0.0509676
"smoked salmon"	0.0507563
"pork loin"	0.0505426
mozzarella	0.0502108
custard	0.0501475
ALFREDO	0.0495122
Sirloin	0.048501
flan	0.0481135
sherbet	0.0480153
"raw meat"	0.047316
Parmigiano-Reggiano	0.047026
cheesecake	0.0456615
baguette	0.0453363
crock	0.0453201
"French toast"	0.0448134
focaccia	0.043917
"pot roast"	0.0430039
ragout	0.0421688
monkfish	0.0417785
Endive	0.0413751
"Van Dyck"	0.0413537
enchilada	0.0412207
Souffle	0.041207
gratin	0.0410654
Burrito	0.04103
pasty	0.0408099
"cold cuts"	0.0403928
"beef tenderloin"	0.0402589
))
(carpenter (desc 23023.7) (sims
electrician	0.168347
plumber	0.141649
bricklayer	0.121618
roofer	0.11775
welder	0.112734
mechanic	0.103676
painter	0.0995751
engineer	0.094043
janitor	0.0927376
tailor	0.0910418
"truck driver"	0.0885286
technician	0.0877023
"factory worker"	0.0872805
accountant	0.0845894
"house painter"	0.0838814
craftsmen	0.0835261
seamstress	0.0829174
handyman	0.0802763
laborer	0.0802699
Barber	0.0802304
gardener	0.0798471
housekeeper	0.0791723
steelworker	0.07888
waiter	0.0784241
machinist	0.0781758
landscapers	0.0778789
cabinetmaker	0.0765525
chemist	0.0765158
sculptor	0.0765132
builder	0.0764179
"school teacher"	0.0763415
Haynes	0.0758011
"computer programmer"	0.0756629
teacher	0.0745135
waitress	0.0743071
photographer	0.0733232
designer	0.0733109
"bus driver"	0.0727704
stockbroker	0.0726876
fisherman	0.0726784
clerk	0.0723962
bartender	0.0723624
worker	0.0720455
Radke	0.0718303
chef	0.0717191
nurse	0.0717006
Baker	0.0713317
Mason	0.0707911
musician	0.0706842
Harnisch	0.0706626
blacksmith	0.0702481
Cook	0.0698284
bookkeeper	0.0696495
Schourek	0.0696091
Mercker	0.0694996
schoolteacher	0.069323
Mlicki	0.0690276
"traveling salesman"	0.0680883
Programmer	0.0678333
pianist	0.0676905
writer	0.0676902
"social worker"	0.0675965
potter	0.0675303
maid	0.0674443
firefighter	0.0671203
contractor	0.066862
decorator	0.0666197
"insurance agent"	0.0660222
Woodard	0.0660117
policeman	0.063976
stuntman	0.0639283
salesman	0.0638814
"electrical engineer"	0.0638746
picker	0.063614
doctor	0.0633793
calligrapher	0.0633761
Nagy	0.0633156
dentist	0.0632915
"civil engineer"	0.0632586
stagehand	0.0632289
educator	0.0630546
physician	0.0629717
custodian	0.0629053
craftsman	0.0627049
architect	0.0626663
repairman	0.0624987
conductor	0.0624463
fireman	0.0624064
businessman	0.0622928
therapist	0.0621163
violinist	0.0619618
instructor	0.0619349
driver	0.0617749
attendant	0.0617151
woodworker	0.0616266
Pfeiffer	0.0614571
librarian	0.0613429
farmer	0.0613321
pilot	0.0607085
"interior designer"	0.0604825
Washburn	0.0601613
nanny	0.060153
Bottenfield	0.0599307
Rusch	0.0599004
foreman	0.0598641
"farm worker"	0.0597562
Reynoso	0.0597361
"security guard"	0.0596583
shopkeeper	0.0591305
artist	0.059093
surgeon	0.059015
banker	0.0588968
actor	0.0587548
Gardner	0.0586889
Erickson	0.0586491
"coal miner"	0.0584877
Moehler	0.0584416
illustrator	0.0583637
puppeteer	0.0582617
lifeguard	0.0579911
Bohanon	0.0579701
consultant	0.0579698
helper	0.0578822
supervisor	0.0577479
Wright	0.057711
Rapp	0.0573815
developer	0.0572035
artisan	0.0571412
Burba	0.0571301
composer	0.0569925
operator	0.056356
"real estate agent"	0.056248
"flight attendant"	0.056061
"military man"	0.0559833
Playwright	0.0557923
cinematographer	0.0557451
"police officer"	0.0557077
Saberhagen	0.0556676
"jazz musician"	0.0556396
Sergeant	0.0554597
"English teacher"	0.0554477
newspaperman	0.055417
miner	0.0553869
veterinarian	0.0552536
housewife	0.0551583
Anderson	0.0550387
Fassero	0.0549182
"school principal"	0.0547175
hairdresser	0.0546907
Yoshii	0.0546638
Neagle	0.0546303
counselor	0.0545301
estes	0.0545183
subcontractor	0.0544952
missionary	0.0544556
preacher	0.054309
handler	0.054266
Hunter	0.0542278
Wilson	0.0541977
receptionist	0.0541832
"software engineer"	0.0541258
Hershiser	0.0539089
"graphic artist"	0.0537527
peddler	0.0535938
mathematician	0.0533734
butcher	0.0533665
singleton	0.0533385
restorer	0.0533381
Morris	0.0533308
Gooden	0.0532953
"real estate broker"	0.0532295
Smoltz	0.0530937
Millwood	0.0530913
scientist	0.0530798
Mantei	0.0530095
Leiter	0.0529922
"farm boy"	0.0529614
Seaman	0.0529074
Watson	0.0528258
weaver	0.0528075
planner	0.0526811
Rosenthal	0.0525563
Cloude	0.0525081
Belcher	0.0524086
Percival	0.0521965
Mulholland	0.0521542
Stein	0.0521321
Moyer	0.0521194
Vazquez	0.0520448
Olson	0.052038
trainer	0.0519684
dancer	0.0518575
physicist	0.0518123
Snyder	0.0518091
journalist	0.0517431
homemaker	0.0516614
psychologist	0.0516329
professional	0.0516197
Baldwin	0.0515956
pastor	0.0515704
))
(carpentry (desc 3103.65) (sims
woodworking	0.177778
"computer programming"	0.122152
plumbing	0.113106
landscaping	0.101895
sewing	0.0985683
nuts-and-bolts	0.0806674
shipbuilding	0.0806406
babysitting	0.0798586
"central heating"	0.0793601
machine-building	0.0788665
tailoring	0.0783048
"civil engineering"	0.0779247
metallurgy	0.0763631
"building material"	0.0760697
blacksmith	0.0727404
engineering	0.0720725
hairdressing	0.0717081
"sewage system"	0.0711417
gardening	0.0698347
handicraft	0.0691743
martial-arts	0.0688077
"computer operation"	0.0684311
"computer application"	0.0674545
ceramic	0.0660773
remediation	0.0658129
"first aid"	0.0649731
wiring	0.0646867
heating	0.0646164
nursing	0.063737
roofing	0.0633578
hands-on	0.0632698
"public speaking"	0.0630871
conducting	0.062709
algebra	0.0618158
"problem solving"	0.0617725
modeling	0.0615442
"home appliance"	0.0614772
"household appliance"	0.0594623
housekeeping	0.0589602
"chemical industry"	0.0587526
surveying	0.0587098
"computer science"	0.0586795
photography	0.0584691
quilting	0.0584317
"electric light"	0.058071
yoga	0.0572385
editing	0.0571206
mountaineering	0.0569854
bookkeeping	0.056303
refining	0.0558765
petrochemical	0.0558121
"data entry"	0.0552361
optic	0.054582
lacquerware	0.0545584
typing	0.0541841
"building product"	0.053954
embroidery	0.0533387
decontamination	0.052299
entrepreneurship	0.0519599
"data processing"	0.0517762
"interior decoration"	0.0517472
aquatics	0.0516396
"sixth grade"	0.0515825
lifesaving	0.0515233
"social work"	0.0515013
"animal husbandry"	0.0513645
Pottery	0.0513058
Etiquette	0.0509146
composing	0.0507286
consultancy	0.0507263
collaborative	0.0507224
"dry cleaning"	0.0505228
bioengineering	0.050509
printing	0.0501925
calligraphy	0.0498299
ranching	0.0494289
Putonghua	0.0488428
horticulture	0.0482397
"martial art"	0.0482275
housewares	0.0482114
cleaning	0.0481708
"customer service"	0.0478839
"machine tool"	0.047795
"high technology"	0.047604
flooring	0.0475969
forecasting	0.0475482
piloting	0.0473687
multimedia	0.0470757
CPR	0.0469313
knitting	0.0469148
karate	0.0467481
sleuthing	0.0467195
fulltime	0.0464836
geriatrics	0.0463905
"musical theater"	0.0463079
catering	0.0460787
"conflict resolution"	0.0459949
rebuilding	0.0456768
"rock climbing"	0.04562
insulation	0.0454287
second-grade	0.0453323
folkways	0.0451798
retailing	0.0451782
telemarketing	0.0451701
"detective work"	0.0445631
"marketing cost"	0.0445257
earthenware	0.0443474
sewer	0.0442618
literacy	0.0437256
"horseback riding"	0.0429976
civics	0.0429088
signaling	0.0429069
aeronautics	0.0428896
"line of work"	0.0428179
demolition	0.0427648
cudgel	0.0427632
Goldsmith	0.042521
catechism	0.0424583
forensics	0.0424087
"modern dance"	0.0423694
tutoring	0.0423615
acupuncture	0.0423385
clarinet	0.042306
biology	0.0422077
rehab	0.0421934
third-grade	0.0417949
CRC	0.0416889
"power tool"	0.0416758
"interior design"	0.0410353
drilling	0.041031
"vocational training"	0.0410271
hydraulics	0.0410056
"information gathering"	0.0409549
commissioning	0.0408743
"weather forecasting"	0.0407639
confectionery	0.0407063
calculus	0.0406539
"electrical engineering"	0.0405425
boating	0.0405206
juggling	0.0403927
ventilation	0.0403565
speciality	0.040332
"environmental science"	0.040316
avionics	0.0402718
filtering	0.0402267
cookware	0.0401792
"land development"	0.0401338
contracting	0.0400077
))
(carpet (desc 44083.7) (sims
rug	0.226035
carpeting	0.215064
furniture	0.16653
fabric	0.139837
wallpaper	0.137233
cloth	0.130468
textile	0.130122
tile	0.129185
sofa	0.125747
garment	0.125356
upholstery	0.123951
Clothing	0.12109
mattress	0.120337
ceramic	0.116068
jewelry	0.11547
blanket	0.114881
furnishings	0.114236
handicraft	0.105646
floor	0.105093
plastic	0.103713
tapestry	0.102594
porcelain	0.10221
appliance	0.102075
footwear	0.10174
knitwear	0.101728
flooring	0.10162
silk	0.101517
"building material"	0.100566
curtain	0.0982248
leather	0.0969041
mat	0.0951392
shoe	0.0950608
couch	0.0947949
quilt	0.0943392
paint	0.0936147
"household appliance"	0.0929541
towel	0.0927549
Pottery	0.0927337
chair	0.0925159
linoleum	0.0924235
wool	0.0911792
tablecloth	0.0905389
lamp	0.0904943
foodstuff	0.0901768
paneling	0.0895165
linen	0.0888857
jute	0.086899
toy	0.0867251
chandelier	0.0867122
cement	0.0866216
apparel	0.0862731
drapery	0.0861581
yarn	0.0856427
antique	0.0842944
bedding	0.0842685
glass	0.0838332
lumber	0.0838284
shirt	0.0835485
pillow	0.0830902
embroidery	0.0827724
insulation	0.0820431
wall	0.0818437
fireplace	0.0817236
cotton	0.0816743
"home appliance"	0.0809633
scarf	0.0803757
bed	0.080229
accessory	0.0797504
sweater	0.0795429
goods	0.0795371
fur	0.0794433
brick	0.0794411
metal	0.0787621
siding	0.0782666
cosmetic	0.0777618
machinery	0.0773329
sheet	0.076765
jacket	0.0766962
electronics	0.0766489
bedspread	0.0764386
refrigerator	0.0762981
grass	0.0757978
flower	0.0753897
painting	0.0743155
robe	0.0742412
wood	0.0739926
lawn	0.0739297
ceiling	0.0737645
vinyl	0.0735072
coat	0.0733666
T-shirt	0.0730668
glassware	0.0727881
decor	0.0725536
plaster	0.0721839
"frozen food"	0.0717572
molding	0.0715976
ornament	0.0715632
dress	0.0715025
cushion	0.0712223
Plywood	0.0712161
Concrete	0.071155
timber	0.0711466
"tv set"	0.0706248
"consumer goods"	0.0705296
cookware	0.0698275
steel	0.0697022
woodwork	0.0696813
sculpture	0.069663
roof	0.069519
Lighting	0.0689008
"palm oil"	0.0688673
armoire	0.0687893
table	0.0685182
kitchenware	0.068466
marble	0.06846
mosaic	0.0681669
sock	0.0681423
equipment	0.0680674
pavement	0.0678532
product	0.0675455
newsprint	0.0672639
"consumer electronics"	0.0671917
armchair	0.066916
tea	0.0665551
"office furniture"	0.0664507
canvas	0.0663438
velvet	0.0662413
perfume	0.0659641
bag	0.0658634
pharmaceutical	0.065831
"coffee table"	0.065796
cashmere	0.0657247
pant	0.0656894
wallboard	0.0656757
rubber	0.0656431
utensil	0.0656331
uniform	0.0655857
stove	0.0651245
material	0.0651219
artwork	0.0648435
automobile	0.0648073
item	0.0645659
toilet	0.0645483
vase	0.0645222
decoration	0.0643707
hair	0.0643685
paper	0.063795
ribbon	0.0635787
cigarette	0.0634565
skin	0.0633711
fiber	0.0630841
tableware	0.0627138
bicycle	0.0627127
plumbing	0.0625094
hat	0.0625001
sheeting	0.0624858
stone	0.062483
bookshelf	0.0624639
jean	0.0624147
housewares	0.0622706
food	0.0622015
overcoat	0.0621727
conditioner	0.0621519
coffee	0.0618955
satin	0.0618622
box	0.0618305
mirror	0.0617824
cardboard	0.0615965
"piece of furniture"	0.0615691
caviar	0.0614303
surface	0.0614169
carving	0.0613972
jewellery	0.0612589
lace	0.0611919
sand	0.0610717
underwear	0.0609602
auto	0.0609322
artifact	0.0609016
ware	0.0607916
sidewalk	0.0607356
tarp	0.0605276
tire	0.0600446
costume	0.0598993
"television set"	0.0598406
color	0.0597352
meat	0.0595455
fertilizer	0.0595222
window	0.059397
leaf	0.0592022
Motorcycle	0.0591699
gemstone	0.0591332
hardware	0.0590284
"washing machine"	0.0588786
"food product"	0.0588265
bookcase	0.0586766
"machine tool"	0.0584994
kitchen	0.0584374
pot	0.0584252
Copper	0.0584044
shawl	0.0583681
))
(carpetbagger (desc 3422.98) (sims
opportunist	0.111056
"draft dodger"	0.0962724
hypocrite	0.094591
"good person"	0.0802935
interloper	0.0745359
"New Democrat"	0.0736763
whore	0.0734432
traitor	0.0733043
reformer	0.0675037
liar	0.0671857
gook	0.0658111
lightweight	0.0656717
phony	0.0654556
knucklehead	0.0645567
nigger	0.0642191
bigot	0.0635956
outsider	0.0625665
ideologue	0.0618507
"second person"	0.0610604
shoo-in	0.0606544
sop	0.0602788
throwback	0.0595008
dealmaker	0.0580611
tactician	0.0572363
"lame duck"	0.0565012
wimp	0.0564889
headhunter	0.0563158
outcast	0.0558409
obstructionist	0.0557957
stalker	0.0557029
"state senator"	0.0556482
womanizer	0.0551727
coward	0.0544164
wrecker	0.0535034
"one of the boys"	0.0533851
idiot	0.053374
"black person"	0.0533204
Judas	0.0530084
lunatic	0.0525719
"literary agent"	0.0525357
gentleman	0.0524758
moron	0.0522362
pragmatist	0.05219
overachiever	0.0520438
"traveling salesman"	0.0520362
"guardian angel"	0.0518996
puppeteer	0.0518392
wonk	0.051741
Luddite	0.0516589
pariah	0.0516099
congresswoman	0.0512822
"heavy hitter"	0.0507712
whistle-blower	0.0501789
has-been	0.0499667
businesswoman	0.0498876
debater	0.0498415
"US Senate"	0.0496181
"fall guy"	0.049355
valedictorian	0.0492782
joiner	0.0492756
psychotherapist	0.0489048
"margin call"	0.0488743
elitist	0.0486515
scum	0.0485355
gringo	0.0484071
"powder keg"	0.0483041
housewife	0.0481914
fascist	0.0481409
Philanderer	0.0480044
hillbilly	0.0479962
sellout	0.0479818
Litigator	0.0478378
cudgel	0.047806
gimmick	0.0476803
bastard	0.0476277
nerd	0.0473609
lashing	0.0467147
puppet	0.0466047
Mister	0.0465731
mommy	0.0465375
"house guest"	0.0463998
assemblyman	0.046382
liberator	0.0463146
"hard worker"	0.0460914
"TV star"	0.0458999
bitch	0.0457388
isolationist	0.0455951
"public speaker"	0.0452369
apologist	0.0450931
talker	0.0449813
autocrat	0.0448404
"rich man"	0.0447787
copout	0.0446446
realist	0.0445822
brat	0.0445494
"talent scout"	0.044476
manipulator	0.044454
thinker	0.0442089
curmudgeon	0.044072
trickster	0.043592
handicapper	0.0435214
"big spender"	0.0433885
sham	0.0433545
"registered nurse"	0.0431752
"important person"	0.0431651
wacko	0.0431561
"leading lady"	0.0431382
embodiment	0.043039
bloke	0.0430003
figurehead	0.0429427
purveyor	0.0426857
"day of reckoning"	0.0425935
screamer	0.0424855
"Big Unit"	0.0423718
underachiever	0.0423552
wrongdoer	0.042289
tomboy	0.042267
paradigm	0.0422288
witch	0.0422118
"lynch mob"	0.0422023
"Rockefeller University"	0.0420884
CAD	0.0420782
"written agreement"	0.0420297
"center of attention"	0.0420216
"good Samaritan"	0.0419877
"young actress"	0.0419528
Ottey	0.0419515
conspirator	0.0418246
mouthpiece	0.0418155
hypocrisy	0.0417608
"time bomb"	0.0416265
soulmate	0.0416024
stewardess	0.0415723
"big leaguer"	0.0415391
privy	0.0415051
violinist	0.0414676
"guitar player"	0.0413783
brawler	0.0413218
"white knight"	0.0412604
"Orthodox Jew"	0.0412456
"Omnicom Group"	0.0411717
first-rounder	0.0409902
"Waldorf-Astoria Hotel"	0.0409687
zealot	0.040925
sportscaster	0.0409225
grown-up	0.0409127
hyperbole	0.0408858
scriptwriter	0.0408455
dribbler	0.0406988
"interior designer"	0.0406469
multimillionaire	0.040597
"Mount Sinai Medical Center"	0.0405654
nonsense	0.0405217
hyper	0.0404401
"costume designer"	0.0403708
peacemaker	0.0403633
troublemaker	0.0402944
fella	0.0402211
fabricator	0.0401637
"young lady"	0.0400524
whiner	0.0400369
aberration	0.0400335
"dark horse"	0.0400298
hobo	0.0400036
))
(carpeting (desc 7925.56) (sims
carpet	0.215064
upholstery	0.148072
tile	0.144043
rug	0.133051
wallpaper	0.132322
flooring	0.125958
linoleum	0.120446
furniture	0.118776
countertops	0.116584
mattress	0.116507
drapery	0.116032
sofa	0.111429
paneling	0.107763
fireplace	0.106567
tablecloth	0.101589
furnishings	0.099123
sheetrock	0.0983771
bedspread	0.096018
"easy chair"	0.0946686
chandelier	0.0916422
bedding	0.0913823
curtain	0.0910784
fabric	0.0890657
towel	0.0890502
insulation	0.0872923
lamp	0.0865709
molding	0.0843004
banquette	0.0842488
vinyl	0.0826662
"love seat"	0.0825642
wallboard	0.0825145
grout	0.0818502
plastic	0.0817409
couch	0.0814433
siding	0.0805902
covering	0.0792708
cloth	0.078231
woodwork	0.0781808
enamel	0.075191
stucco	0.0745063
metalwork	0.0740348
Lighting	0.0739279
"window frame"	0.073864
shingle	0.0735272
floorboard	0.0725874
mat	0.0725726
netting	0.0719738
"tile roof"	0.0717968
coating	0.0713381
blanket	0.0711255
linen	0.0710577
decor	0.0709626
appliance	0.0699249
utensil	0.0684987
pillow	0.0679984
bookshelf	0.067962
ceramic	0.0676139
"office furniture"	0.0669042
tarpaulin	0.0668773
lampshade	0.0667979
Clothing	0.0666752
laminate	0.0664162
windbreaker	0.0657446
plaster	0.0653032
armchair	0.0652457
textile	0.0648149
hardwood	0.0643859
"building material"	0.0636894
fur	0.063593
"kitchen appliance"	0.0632714
armoire	0.0632425
ceiling	0.0631988
"coffee table"	0.0630709
antique	0.0630276
stain	0.0629818
plumbing	0.062833
dinnerware	0.0626965
Concrete	0.0626247
"sweat pants"	0.0624217
shingles	0.0620155
pantsuit	0.0618036
"household appliance"	0.0617589
stove	0.0616212
"light bulb"	0.0610944
mantelpiece	0.0610112
brick	0.0605488
Plywood	0.060454
tableware	0.0602956
shutter	0.0601041
cushion	0.0600749
sheeting	0.0599846
sweater	0.0595619
leather	0.0594086
pillowcase	0.0591666
"bathroom fixture"	0.0590653
marble	0.0590131
Sash	0.0587809
chintz	0.0585619
Poncho	0.0583139
sock	0.0582112
heater	0.058202
bandana	0.0581642
conditioner	0.0580604
fixture	0.0573422
comforter	0.0573307
quilt	0.0569474
wainscoting	0.0565985
mosaic	0.0564259
plasterboard	0.0562643
cardboard	0.0560876
awning	0.0559037
pigment	0.0558958
stereo	0.0557908
seating	0.0557683
stool	0.0557392
foam	0.0557197
"color scheme"	0.0557107
overcoat	0.0556945
gazebo	0.055693
"wax paper"	0.0554909
velvet	0.0554858
decoration	0.0553159
shirt	0.0553007
cookware	0.055179
jewelry	0.0549936
silk	0.0549813
bookcase	0.0549724
varnish	0.054759
robe	0.0545301
shawl	0.0544322
plumage	0.0543945
mesh	0.0542925
"electronic equipment"	0.0542203
bunting	0.0541143
jumpsuit	0.0540629
garment	0.0540549
skylight	0.0540352
glassware	0.0536801
"television set"	0.0536461
vegetation	0.0536074
"sheet metal"	0.0535884
sconce	0.0535098
"lighting fixture"	0.0534994
drywall	0.0534511
refrigerator	0.0534402
porcelain	0.0534028
bathroom	0.0534024
cardigan	0.0534019
candle	0.0533584
"picture window"	0.053178
accessory	0.0531034
kitchenware	0.0530043
smock	0.0530031
fresco	0.0529907
tapestry	0.0528897
jacket	0.0527657
crayon	0.0527606
"stereo system"	0.052623
girder	0.052593
"water fountain"	0.052536
asphalt	0.0524664
suede	0.0523819
styrofoam	0.0523366
sprinkler	0.0522711
landscaping	0.0521241
tub	0.0520071
air-conditioning	0.0519068
wool	0.0518608
"sprinkler system"	0.0516546
"pool table"	0.0516221
pane	0.0514888
foliage	0.0514401
icing	0.0513045
playroom	0.0512761
"car seat"	0.051258
bathtub	0.0509889
"contact lense"	0.0509132
artwork	0.050783
"baseball cap"	0.0507495
lumber	0.0507067
"home appliance"	0.0506821
apron	0.0506722
"trash can"	0.0504812
footwear	0.0503226
"kitchen sink"	0.0503103
"shower curtain"	0.050132
Pottery	0.0500674
mulch	0.0499441
chrome	0.0498803
"gold leaf"	0.0498476
Astroturf	0.0498321
T-shirt	0.0497795
blouse	0.0494921
canvas	0.049341
stationery	0.0492208
trouser	0.0492099
"bunk bed"	0.0491517
parka	0.0491122
knapsack	0.0490758
toilet	0.0490105
))
(carport (desc 1022.6) (sims
"family room"	0.108661
"recreation room"	0.106943
"rec room"	0.100961
playroom	0.0932349
attics	0.085142
pergola	0.0818323
gazebo	0.0753311
"master bedroom"	0.0683517
"data file"	0.0671662
outbuilding	0.0651536
"wine cellar"	0.0647638
Bathhouse	0.0636024
"tennis court"	0.0631055
Jacuzzi	0.0626626
"sailing vessel"	0.0599001
countertops	0.0581587
"dining table"	0.0557486
"trash can"	0.0552855
skyboxes	0.055061
"back room"	0.0518027
McCarron	0.0512385
"Tyrannosaurus rex"	0.0511386
"war chest"	0.0497764
"front porch"	0.0496881
earphone	0.0496744
stucco	0.04946
playpen	0.0493183
townhouses	0.0490771
"picture window"	0.0490675
remotes	0.0488802
Esplanade	0.0486313
soundstage	0.0484668
"bomb shelter"	0.048101
"French door"	0.0478398
"fishing rod"	0.0477515
synthesizer	0.047424
"parking area"	0.0473832
bookcase	0.0467876
Spillway	0.0464998
"entertainment center"	0.0462863
"summer house"	0.0462454
"neutron bomb"	0.0462445
"herb garden"	0.0461851
sternum	0.0461371
taskbar	0.046136
"second match point"	0.0460074
sheathing	0.0456406
WINDOWSILL	0.0454863
"reaction time"	0.0453647
"storage area"	0.0452148
iguana	0.0451244
musket	0.045084
"sweat pants"	0.0450191
"eye socket"	0.0447478
turbogenerator	0.0447218
pantry	0.0443541
surfboard	0.0442263
chairlift	0.0441427
"stone wall"	0.0441338
atrium	0.0431721
molar	0.0429258
entryway	0.0429104
"phone booth"	0.0424509
megaplexes	0.0422955
superstructure	0.0422088
"dining area"	0.0421101
"cargo area"	0.0420148
rotunda	0.0416732
staterooms	0.0415712
derriere	0.0412101
sarcophagus	0.0411096
sweetie	0.0410151
"packing plant"	0.0408787
led	0.0406023
"water jug"	0.0405428
"nest egg"	0.040451
"waiting area"	0.0402997
skylight	0.0402907
nook	0.040252
ass	0.0401773
"window frame"	0.0401113
))
(Carr (desc 7938.92) (sims
Carre	0.102645
Quartey	0.10104
Whitaker	0.0935385
Tapia	0.0882076
Savarese	0.087718
Reid	0.0861725
Mcbride	0.0838958
Charpentier	0.0837579
Ceballos	0.083137
Erickson	0.0801713
Mosley	0.0795565
Lopez	0.0794969
Snyder	0.0793573
Harrington	0.0785122
Crenshaw	0.0784747
Olson	0.0781934
Randall	0.0779594
Frazier	0.0767991
Ferguson	0.0767465
Rosenthal	0.076555
Olajuwon	0.07617
Cline	0.0755935
Farber	0.0753513
Atler	0.0752573
Jensen	0.0748389
Brady	0.0748016
Avery	0.0744169
Hartman	0.0742878
Hornacek	0.0738492
Trinidad	0.0737365
Cunningham	0.0735377
Bonner	0.0732484
Lobo	0.0729511
Sanchez	0.0726743
"De La Hoya"	0.0726426
Botha	0.0723394
drake	0.0722673
Palmer	0.0720984
Ayala	0.0719044
Olowokandi	0.0715998
Ftorek	0.0714179
Dickerson	0.0714031
Gatti	0.0709242
Morrison	0.0708353
Bibby	0.0708137
Jeffers	0.0707631
fisher	0.0707577
Ferraro	0.070725
Brock	0.0705703
Garrett	0.0703382
Brazile	0.0702071
O'Donnell	0.0701712
Woodard	0.0701242
Sullivan	0.0700699
Hopkins	0.0699975
Norris	0.0699535
Watson	0.0698173
Garnett	0.0697644
Hardy	0.0697314
Johnson	0.0696741
Elliott	0.0693842
Nelson	0.0691735
Solomon	0.0691644
Briggs	0.0691229
Carter	0.0690096
Rosenblatt	0.0689496
Malone	0.0688603
Zambrano	0.068805
douglas	0.0687615
Drexler	0.0685166
Crawford	0.0685036
McDonnell	0.0683857
Holyfield	0.0683774
Evans	0.0683505
Sharma	0.0682295
Cooper	0.0681699
Levin	0.0678986
Markovic	0.0678659
Kern	0.0676341
Stackhouse	0.0676317
Kapono	0.0675326
Hargrove	0.0673521
"Van Raaphorst"	0.0672897
Peters	0.0672506
Lewis	0.0672068
Applewhite	0.067202
Schulz	0.0671689
Kagalovsky	0.0671359
Ramirez	0.0670708
Bowden	0.0670618
McMillan	0.0670035
Gomez	0.0669397
Vogel	0.066899
El-Amin	0.0668377
Meissner	0.0667897
Kirby	0.0664076
Barrett	0.0663517
Holmes	0.0661516
Lundberg	0.0660585
Mullin	0.0659953
Kingsley	0.0659034
Shriver	0.0657521
Preston	0.0657459
Petersen	0.0655791
Pippen	0.06544
Wilder	0.0654142
Kurth	0.0654072
Mendoza	0.0653971
Chappell	0.0653023
Tomjanovich	0.0652136
Moorer	0.06521
Robinson	0.0651678
Clooney	0.0651147
Oliver	0.0650536
Dixon	0.064905
Marquez	0.0647773
Higgins	0.0647433
Finley	0.0646812
Ruelas	0.0646491
O'Connell	0.0645904
Laudrup	0.0645831
Stephenson	0.0645011
Betts	0.0644462
harrison	0.0643544
fowler	0.064321
Tyson	0.0642073
Oates	0.0641574
Kaplan	0.0641152
Beasley	0.0640959
Hoffman	0.0638058
Meyer	0.063797
Okada	0.0637809
Gwynn	0.0637494
Dowd	0.0637438
"La Russa"	0.0636932
Ellis	0.0636283
Saunders	0.0635071
Moore	0.0634981
Kelly	0.0633896
Johnston	0.0633749
ALLISON	0.0631584
Andreychuk	0.0629748
Padilla	0.0629437
Armstrong	0.0628808
Simons	0.0628193
Kidd	0.0627994
Griese	0.0625957
Asprilla	0.0625605
Oakley	0.06251
McCown	0.0623832
Webber	0.0622491
Whaley	0.0621392
Calloway	0.062115
Murray	0.0619935
Thomas	0.0619259
Briscoe	0.0619239
Gannon	0.061807
Schoeneweis	0.0617114
Garcia	0.0617088
Ono	0.0617076
Bowen	0.0616896
Vargas	0.0616374
Golota	0.0615577
Abbott	0.0615349
Pena	0.0614884
Greenwald	0.0614743
Owen	0.0614302
Madden	0.0613162
Faldo	0.0613083
Baerga	0.0612364
Lockwood	0.0612059
Grasso	0.0611743
Tobin	0.0611691
krueger	0.0611409
Wilkins	0.061096
Glover	0.0610008
Welch	0.0609354
Doyle	0.0608721
Bryant	0.0608561
Tua	0.0608538
Morales	0.0608362
Lin	0.0608144
Ponciano	0.0607716
Odom	0.0607522
Davies	0.0605632
Lowry	0.0605499
Sanderson	0.0605116
Grossman	0.0604698
McDaniel	0.0604576
Dayne	0.0604017
Ballard	0.060352
Hamed	0.0602852
Holdsclaw	0.0602653
Piniella	0.0602279
Crowe	0.0601497
McNown	0.0601242
Mortimer	0.0601067
Leonard	0.0601051
Eisner	0.0600803
"Pernell Whitaker"	0.0600562
))
(Carre (desc 1727.43) (sims
"Elmore Leonard"	0.14906
"Larry McMurtry"	0.134905
"Gore Vidal"	0.120874
"John Grisham"	0.118603
"John Irving"	0.116108
Chappell	0.114841
"Graham Greene"	0.113374
"Toni Morrison"	0.112332
"James Jones"	0.111466
"Victor Hugo"	0.111388
Grisham	0.108041
Welty	0.106528
"E.L Doctorow"	0.104169
"Tom Wolfe"	0.102748
Carr	0.102645
Balzac	0.100442
Vonnegut	0.0980624
Pont	0.0968141
"Kurt Vonnegut"	0.0958013
JAKES	0.095745
McMurtry	0.0926635
"Raymond Chandler"	0.0923496
Kafka	0.09106
"John Steinbeck"	0.0907838
"Stephen King"	0.0900206
Leland	0.0895597
Trollope	0.088401
Wolfe	0.0871428
Doan	0.0855324
Steinbeck	0.0849854
Austen	0.0843524
Susann	0.0842841
"Jane Austen"	0.0836863
Puzo	0.0814329
Tolstoy	0.0788137
Nabokov	0.0782023
"Henry James"	0.0764649
Proust	0.075611
Alexie	0.0752561
Burroughs	0.0744963
Grange	0.0743721
Theroux	0.0743068
Posner	0.0739881
McEwan	0.0727085
Rushdie	0.0725501
"Michael Crichton"	0.0725159
monde	0.0717405
"James Joyce"	0.0714658
"Virginia Woolf"	0.0708108
cirque	0.0703852
"F. Scott Fitzgerald"	0.06952
Roux	0.0691077
Faulkner	0.0689159
"Ernest Hemingway"	0.0682161
"Charles Dickens"	0.0681456
Updike	0.0680633
HELLER	0.0670801
Phieu	0.066158
"John Updike"	0.0657752
Mucha	0.065664
"TOM CLANCY"	0.064637
cutler	0.0645925
"J.K Rowling"	0.0640557
Otis	0.0635619
Cornwell	0.0632518
"Margaret Mitchell"	0.0632225
Rowling	0.062558
"Vladimir Nabokov"	0.0622303
"Edith Wharton"	0.0621339
"Salman Rushdie"	0.0614499
Orwell	0.0612992
Scarpetta	0.0609382
Walser	0.0606014
"Saul Bellow"	0.0596858
Plante	0.059553
"Truman Capote"	0.0594369
"Thomas Mann"	0.0593934
Bech	0.0582705
Saramago	0.0578623
Vanbiesbrouck	0.0577285
Finney	0.0572354
Morrison	0.0572018
"Philip Roth"	0.0567418
Crichton	0.0566147
Mellencamp	0.0565047
"William Faulkner"	0.055874
Canty	0.0557847
Diggs	0.0555174
Shriver	0.055377
Naipaul	0.0548253
Halberstam	0.0540191
nonfiction	0.0537292
Higgins	0.0535673
Lehane	0.0533762
Clancy	0.0532184
matzoh	0.053086
"Jack Kerouac"	0.0530083
"Gabriel Garcia Marquez"	0.0528413
Spenser	0.0527284
Neff	0.0524893
"Herman Melville"	0.052478
Kincaid	0.0524242
Purdy	0.0523196
Rivlin	0.0521573
amis	0.0519151
"George Orwell"	0.0518004
Solzhenitsyn	0.0516629
Melville	0.0516016
Godwin	0.0514186
Lurie	0.0511994
Wharton	0.0509197
Irving	0.0508159
potter	0.05073
Kerouac	0.0503899
Gutman	0.0501551
"Modern Library"	0.0495379
"Lewis Carroll"	0.0495349
Neely	0.0492683
Borges	0.0491671
Hirsch	0.0490153
Carlin	0.0489798
Travolta	0.0488973
Kingsley	0.0488144
Salinger	0.0484964
Harlequin	0.0484571
Seuss	0.0484028
Betts	0.0483622
Connell	0.0483387
Harr	0.0479026
"Susan Sontag"	0.047876
"Jimmy Buffett"	0.0475879
Dickens	0.0474246
siecle	0.0472234
Whitbread	0.0467409
eco	0.0466973
"blue moon"	0.0466251
Harbison	0.0464076
Rothschild	0.0460831
Romer	0.0460294
"Norman Mailer"	0.0460051
Sobel	0.0454681
Trixie	0.0447868
McMillan	0.0445803
Mortimer	0.0441371
"Mark Twain"	0.0440804
Junger	0.043808
Ying	0.0436434
Kimball	0.0435546
Pollack	0.0435479
Colette	0.0433281
McCourt	0.043206
Echols	0.0431691
"Neil Smith"	0.042961
Schaeffer	0.0428281
Harrigan	0.0428143
Menchu	0.0427621
Leslie	0.0427583
MacKay	0.042686
Cheever	0.0426625
Gorey	0.0424706
rube	0.0424674
Dumas	0.0423894
Tam	0.0423099
Cleary	0.0422888
"Eudora Welty"	0.0421336
Joyce	0.0419811
Hamill	0.0419384
Broderick	0.0418565
"Patsy Ramsey"	0.0418059
Wilder	0.0417772
"George Carlin"	0.0416904
"Tennessee Williams"	0.0416455
"Sonny Liston"	0.0416353
Loeb	0.0415379
"Mad Dog"	0.0415062
Sheehy	0.0414369
Beckett	0.0413748
Spence	0.0411548
Galbraith	0.0411455
Fallon	0.0407889
Weldon	0.0407112
"J.D Salinger"	0.0405276
Andersen	0.0404937
Parrott	0.0401149
))
(Carrefour (desc 3032.36) (sims
"Best Buy"	0.144236
Totalfina	0.136347
Asda	0.13562
Safeway	0.133173
"J.C. Penney"	0.129881
"Food Lion"	0.12295
"Rite Aid"	0.118884
"Renault SA"	0.118474
Alcatel	0.115452
"Societe Generale"	0.113612
Staples	0.110186
Vivendi	0.109379
"Circuit City"	0.109145
Rhone-Poulenc	0.107638
"Staples Inc."	0.106106
"Amazon.com Inc."	0.103584
Kroger	0.101118
"Pacific Century"	0.100998
"U.S. Trust"	0.100659
Paribas	0.0992068
CompUSA	0.0988194
Drugstore.com	0.0983396
AXA	0.0979067
"Thermo Electron"	0.0970509
"Niagara Mohawk"	0.0968857
"Computer Associates"	0.0966075
Kmart	0.0959299
"Toys R Us"	0.0947193
Wal-Mart	0.094016
"Union Carbide"	0.0928588
"Christine Arron"	0.0923286
Walmart	0.0919741
"Wal-Mart Stores Inc."	0.0915015
Elf-Aquitaine	0.0912207
VEBA	0.0902467
Ikea	0.0889927
"ELF AQUITAINE"	0.0883585
Priceline.com	0.0877737
"Royal Bank"	0.0876061
"Thomson CSF"	0.0872434
Fingerhut	0.0866729
"P&AMP;G"	0.0864292
CDnow	0.0862582
"Wal-Mart Stores"	0.085741
UBS	0.0855304
"J&AMP;J"	0.0847341
RJR	0.0846984
Petrofina	0.084601
"Aerospatiale Matra"	0.0844372
Starwood	0.0830572
Roberds	0.0829909
"HBO &AMP; Co."	0.0826218
"First Union"	0.0825968
AutoNation	0.0823442
Ciena	0.0817387
Penney	0.0815459
Pitney	0.0814428
MiniMed	0.0809104
McKesson	0.0808502
CVS	0.0808035
N@K	0.0796952
"Deutsche Bank AG"	0.0796911
Aerospatiale	0.0791394
Mannesmann	0.0789643
"National Grid"	0.0787684
Daimler-Benz	0.0787382
ZIFF-DAVIS	0.0784872
Roebuck	0.07826
AGL	0.0779863
Renault	0.0779502
Albertson's	0.0779386
BOC	0.0778664
"Burlington Northern"	0.0772177
NiSource	0.0767679
CITIC	0.0764445
ABB	0.0763872
"Siemens AG"	0.0762258
Kodak	0.076225
Honeywell	0.0761472
Schlumberger	0.0755019
"Wells Fargo"	0.0752769
eToys	0.075263
ExciteAtHome	0.0752001
Seagram	0.0751949
BCE	0.0749908
Healtheon	0.074214
Comcast	0.0740471
Nestle	0.0739147
Toysmart.com	0.0738895
"Tribune Co."	0.0738028
"Home Depot"	0.0737767
"Total Fina"	0.0737522
Daimler	0.0737407
"Sharper Image"	0.0736528
NTL	0.073552
Emulex	0.0735228
Unilever	0.0734439
"Barnes &AMP; Noble"	0.0733132
LVMH	0.0732589
SBC	0.0730387
Genzyme	0.0728173
ICI	0.0726196
"Burger King"	0.0724709
HSBC	0.0723471
Nabisco	0.0723183
Caldor	0.0722338
Reel.com	0.0720623
"Krispy Kreme"	0.0720223
"Dow Chemical"	0.0720186
Walgreens	0.071845
"Sara Lee"	0.0716795
"Thomson Multimedia"	0.0715491
Cendant	0.0714085
Nortel	0.0710602
Ameritech	0.0710482
Ahold	0.0710072
VoiceStream	0.070978
"Marie-Jose Perec"	0.0709451
NCR	0.0708478
Hoechst	0.0707247
Nikko	0.0706834
VENATOR	0.0704927
Eni	0.0701503
"Didier Auriol"	0.0700793
Sunbeam	0.0695757
Priceline	0.0695724
Mattel	0.0693555
"RJR Nabisco"	0.0693138
Starbucks	0.0692228
LIFFE	0.0691546
"Credit Lyonnais"	0.0691434
"Fred Meyer"	0.0691089
CNOOC	0.0690972
Philips	0.06905
Amgen	0.068962
Bestfoods	0.0688884
BankAmerica	0.0688381
NatWest	0.0686574
SDB	0.0684873
ALZA	0.0682429
GANNETT	0.068234
Goodyear	0.0681331
"Radio Shack"	0.0677456
"Deutsche Bank"	0.0677179
"BP Amoco"	0.0674967
Litton	0.0674083
Amway	0.0671806
Chevron	0.0670695
Warnaco	0.0669222
Sears	0.0668718
HomeGrocer.com	0.0668653
IAI	0.0667859
CCB	0.0667424
XYLAN	0.0667389
KFC	0.0667289
LTCB	0.0666681
"Sprint PCS"	0.0666355
Telefonica	0.0665744
"JDS Uniphase"	0.0665223
AlliedSignal	0.0664666
Lufthansa	0.0664267
Ericsson	0.0663863
KPN	0.0663275
Stratus	0.0663075
"Vivendi SA"	0.0662748
CMGI	0.066243
Barclays	0.0662277
ICBC	0.0662066
PLDT	0.0660844
"Bell Atlantic"	0.0660834
Walgreen	0.0658178
COSCO	0.0657542
"Ford Motor"	0.0656334
SmithKline	0.0655777
"UBS AG"	0.0654218
WPP	0.0653543
Schwab	0.0653
QVC	0.0650632
SSE	0.0650125
"Advanced Micro"	0.0650031
REI	0.0649351
"Deutsche Telekom"	0.0649146
NORTHROP	0.0648587
Daimler-Chrysler	0.0648413
Gymboree	0.0647805
"True North"	0.0647641
E-LOAN	0.0647504
"US West"	0.0647287
TYCO	0.0645351
Inc.	0.0645152
"United Technologies"	0.0643487
Georgia-Pacific	0.0643025
"Fannie Mae"	0.0642713
Vodafone	0.0642567
"Phelps Dodge"	0.0641889
Sumitomo	0.0638118
PictureTel	0.0637832
"BankAmerica Corp."	0.0637533
Pets.com	0.0634321
Woolworth	0.0632994
))
(Carrera (desc 1006.82) (sims
Colburn	0.137527
casa	0.135912
Guerra	0.13308
Brasil	0.128963
Fassett	0.128079
Guidry	0.123801
Banda	0.118506
Reimer	0.114758
Fuente	0.113908
Grange	0.113468
Komura	0.112207
Glaser	0.111881
Jenoff	0.108574
Jong	0.108106
Menchu	0.107796
Cristina	0.107446
"Estados Unidos"	0.10646
Rifkind	0.106347
Ruehe	0.106231
Felten	0.103831
Azad	0.103766
Schmalensee	0.102646
Tevanian	0.101961
Rocha	0.101951
Guterres	0.101391
OCA	0.101053
mano	0.099689
Kushner	0.0993467
Ratner	0.0978564
Velayati	0.096918
Jarrell	0.0967223
Holl	0.0964608
Hoya	0.0961082
Turetzky	0.0955294
Ville	0.0954574
es	0.0950516
Zamora	0.0948419
Kodikian	0.0946343
Dias	0.0945053
Cr	0.0936637
Julio	0.0929759
Vina	0.0929448
que	0.0928161
Pugh	0.0913123
Mercado	0.0912625
Barros	0.0910661
Haouari	0.0905383
Rue	0.0905224
Hersh	0.0902869
MAS	0.0899675
Kostov	0.0897577
fue	0.0890636
Bruijn	0.0885766
Hamid	0.0882869
Tarawneh	0.0881426
Almeida	0.0880154
Grachev	0.0875427
LOS	0.0875065
Hrawi	0.0868174
Azizan	0.0866688
Zapata	0.0853837
Horner	0.0850156
Moratinos	0.0849898
Boca	0.0846521
Borodin	0.0840226
"de Charette"	0.0835939
Zuma	0.0832931
Koskinen	0.0831051
Rodionov	0.0827808
Meskini	0.0827108
Klerk	0.0826517
Schaeuble	0.0823619
Brawley	0.0821032
Hamlin	0.0820427
Buzek	0.082018
Soyinka	0.081727
Scalfaro	0.0813183
Okada	0.0810103
Surin	0.0793929
Kambanda	0.0792492
Maher	0.0788822
Puente	0.0788465
"Amos Wako"	0.0786167
Shevardnadze	0.0786116
Orban	0.0785808
Idris	0.0780577
Stoyanov	0.0779924
las	0.0778904
Scharping	0.0774487
Rua	0.0772988
Volpe	0.0772755
Ikeda	0.0769208
Mikhailov	0.076752
Karimov	0.0766439
Cem	0.0760899
Vita	0.0760229
Baird	0.0757191
Musa	0.0756764
Reforma	0.075407
Contra	0.0752496
Tarrin	0.0750161
Lileikis	0.0749811
Ni	0.0746418
Shareh	0.0746417
Sorensen	0.0745808
Ciampi	0.0744493
Deportivo	0.0744423
Villar	0.0742339
Ikimi	0.0741141
Fernandes	0.0740978
espanol	0.0739984
Lamberth	0.0739478
Kromah	0.0736593
Yastrzhembsky	0.0732956
Wolfensohn	0.0729255
Kwasniewski	0.0729166
Sumaye	0.0728978
Mohamed	0.0726785
Grande	0.0725518
Phieu	0.0725166
Advani	0.0724862
Gullit	0.0723926
Blumenthal	0.0721713
Rosen	0.0718587
Mello	0.0718226
Maritz	0.0716235
Chung	0.0715974
Haughey	0.0715568
"sea captain"	0.071492
Ntuyahaga	0.0713269
Bronfman	0.0713145
Garza	0.0708379
"La Salle"	0.0707353
Vollebaek	0.0705029
Serna	0.0704691
Sergeyev	0.0704346
Crocker	0.0701871
Kabariti	0.0698522
Boer	0.0697909
Venecia	0.0697324
Byers	0.0697018
"De Soto"	0.0696248
Rowan	0.0691746
Nateq-Nouri	0.0690191
Fuhrman	0.0685698
Mundo	0.0685206
Alatas	0.0684338
Abdel-Meguid	0.0681699
Freeh	0.0681311
masse	0.0681006
SabreTech	0.0678526
Persson	0.0674904
Plata	0.067484
Pape	0.0674429
Speer	0.0674364
Niyazov	0.0671808
Para	0.0668488
Eran	0.0668341
Steele	0.0668101
Ben-Ami	0.0667799
Bakaly	0.0667228
Bongo	0.0662454
Wiese	0.0662351
Noe	0.0662335
SAL	0.0661749
Eizenstat	0.0661214
Kharrazi	0.0660804
Singson	0.0660005
Briere	0.0658281
Constantinescu	0.0657507
Bizimungu	0.0657155
siecle	0.0657099
Kinkel	0.065547
Sebaggala	0.0654224
Gravano	0.0651736
Schweitzer	0.0649332
una	0.0648912
Rudman	0.0648444
Blackthorne	0.0648286
"Cindy McCain"	0.0646074
Johansson	0.0645137
Pustovoitenko	0.0643737
McMellon	0.0642545
Pickering	0.0642115
Woolley	0.064099
Serra	0.0640194
Soto	0.0639841
Nemtsov	0.0639669
Breuer	0.0639335
Barshefsky	0.0637543
Podesta	0.0637541
Gowda	0.0635624
Stayner	0.0634154
Macfarlane	0.0634041
Farber	0.0633905
Slatkin	0.063382
Edwin	0.0633004
Gwen	0.0629684
Casas	0.0629425
Granic	0.0629415
))
(Carrey (desc 5366.81) (sims
"Jim Carrey"	0.147559
Streep	0.102356
Matthau	0.0905298
Nolte	0.0881994
Costner	0.0874628
Benigni	0.08741
Braugher	0.0851202
Sheedy	0.0819649
Hank	0.0814905
Cusack	0.0807259
Schwarzenegger	0.0799308
Maguire	0.0796374
Spacey	0.07828
Midler	0.0782727
Travolta	0.0772895
Hartman	0.0770209
DiCaprio	0.0760261
Downey	0.075634
Gooding	0.0754315
"Keanu Reeves"	0.0749497
Beatty	0.0741561
"Richard Gere"	0.0739239
Crowe	0.0735642
Dion	0.0730799
Cleese	0.0729606
Spielberg	0.0727646
Coen	0.0725233
Paltrow	0.0713763
Kaufman	0.0712288
Sandler	0.0703314
"Hugh Grant"	0.0695916
Pfeiffer	0.0688423
Blanchett	0.0679774
Scorsese	0.0676915
"Jackie Chan"	0.0670837
Epps	0.0669333
Stillman	0.0668698
McGregor	0.0668446
Hoffman	0.0664994
Eastwood	0.0658339
Hawke	0.0655645
"Jennifer Love Hewitt"	0.0653301
Farnsworth	0.0651127
Leigh	0.0648803
Dench	0.0647989
"Martin Lawrence"	0.0647914
Astaire	0.0647571
"Wesley Snipes"	0.0645149
"Kevin Costner"	0.0645106
"De Niro"	0.0644362
"Albert Brooks"	0.0642199
Fiennes	0.0637149
Vogel	0.0635974
Marceau	0.0634101
Gibson	0.0630161
Sobel	0.062966
"Robin Williams"	0.0625901
Schroder	0.0622552
Henley	0.0621686
GERE	0.0619405
Willis	0.061922
"Adam Sandler"	0.0618628
Groening	0.0618499
"Morgan Freeman"	0.0618348
Clooney	0.0616278
Baugh	0.061574
Matthews	0.060983
"Jodie Foster"	0.0608308
murphy	0.060811
"Denzel Washington"	0.0605297
craven	0.0600669
"Woody Allen"	0.0599839
Tomlin	0.0597214
"Mike Myers"	0.0594302
Auerbach	0.0594154
DeVito	0.0591211
LaBute	0.0591011
"Tom Hanks"	0.0589738
Broderick	0.0588892
"Tom Cruise"	0.0587454
Affleck	0.0586034
"Brad Pitt"	0.0584734
"Meryl Streep"	0.0581192
douglas	0.0579512
Andreychuk	0.0578723
Roberts	0.0577343
Thornton	0.0575589
Heche	0.0574
Groucho	0.0573905
"Matt Damon"	0.0573007
Brosnan	0.0572732
"Eddie Murphy"	0.0571513
"Roberto Benigni"	0.0567291
"AL PACINO"	0.0565796
Bogart	0.0565038
"John Wayne"	0.0564745
Raitt	0.056467
Branagh	0.0563128
Hoch	0.0562098
"American Beauty"	0.0559474
"Michael J. Fox"	0.0558176
"Marlon Brando"	0.0557065
Bjork	0.0556885
"Jimmy Smits"	0.0556449
Darnell	0.0556113
Norton	0.0555326
"Jeremy Irons"	0.0554957
Harrick	0.0554554
Winkler	0.055165
Ulrich	0.055128
Damon	0.0548931
Zuckerman	0.0548749
"Jessica Lange"	0.0548174
Wolfe	0.0547543
Zellweger	0.0544235
MAMET	0.054241
"Chow Yun-Fat"	0.0541417
Flockhart	0.0541396
"Kevin Kline"	0.0539261
"Robert Redford"	0.0538828
Duvall	0.0538291
"Arnold Schwarzenegger"	0.0538139
Osborne	0.0534425
REEVE	0.0532696
Allen	0.0531618
Kubrick	0.0531193
Halberstam	0.0530288
Kidman	0.0530076
Reilly	0.0529678
Hopkins	0.0529594
"Matthew Broderick"	0.0527743
"Jimmy Stewart"	0.0526923
Pacino	0.0526102
"Sela Ward"	0.0523921
Rau	0.0523553
"Sean Connery"	0.0522213
Solis	0.05221
"Billy Crystal"	0.0521523
"Kevin Bacon"	0.0521487
Moser	0.0521174
"Antonio Banderas"	0.0520607
Bergeron	0.051945
Arnold	0.0518469
Larson	0.0517796
Bening	0.0517695
Dennehy	0.0513637
Malkovich	0.0513532
Charest	0.0511814
Robbins	0.0511515
Bruce	0.0510978
Baldwin	0.0510519
Gifford	0.0509512
Gielgud	0.0509385
"Leonardo DiCaprio"	0.0508147
"Kate Winslet"	0.0507709
Doris	0.0507442
Brister	0.0507422
Silverstein	0.0506947
Buffett	0.0506595
Redford	0.0505184
"Jack Nicholson"	0.0504967
bullock	0.050485
Marchand	0.0503846
Ricci	0.0503634
Myers	0.050297
Haynes	0.0502321
McDonnell	0.0502246
"Dustin Hoffman"	0.0501705
Krugman	0.0501503
Daniels	0.0501344
Caray	0.0501324
Weil	0.0500783
Logue	0.0500593
"Bill Murray"	0.0500148
"Rat Pack"	0.0499795
Nicklaus	0.049964
Coburn	0.0499356
marshall	0.0499193
Friedman	0.0498098
Pollack	0.0497953
"John Travolta"	0.0497153
"Bruce Willis"	0.0496852
Brooks	0.049553
"Ron Howard"	0.049438
"Kevin Spacey"	0.0493737
Tucci	0.0492983
McLachlan	0.0492189
"Tom Selleck"	0.0490753
Yzerman	0.0490711
swank	0.0490294
Parker	0.048829
"PHILIP SEYMOUR HOFFMAN"	0.0488143
"Humphrey Bogart"	0.0486883
"Julia Roberts"	0.0486781
Cooper	0.0486538
Packard	0.0486101
Reiner	0.0485899
Hitchcock	0.0485813
Goldberg	0.048523
Yount	0.048389
))
(carriage (desc 19550.3) (sims
wagon	0.138166
bogy	0.120846
hearse	0.109592
"passenger car"	0.107189
sleigh	0.105625
jeep	0.104601
limousine	0.102497
trolley	0.101488
van	0.0997589
"school bus"	0.0983759
truck	0.0980935
Buggy	0.0959018
bus	0.0957704
locomotive	0.0950304
bogie	0.09469
car	0.0923671
cart	0.0912519
chariot	0.090491
tractor	0.0902566
minibus	0.0865275
"railroad car"	0.0863293
trailer	0.0852583
Motorcycle	0.0839553
"freight car"	0.0829164
taxi	0.0828668
"passenger train"	0.0826309
vehicle	0.0806506
Ambulance	0.0799356
bicycle	0.0797699
lorry	0.0788772
"freight train"	0.0786484
Limo	0.0780792
boat	0.077474
rickshaw	0.0772562
"pickup truck"	0.0766528
"patrol car"	0.0765488
cab	0.0752838
compartment	0.0749732
"golf cart"	0.0748568
motorbike	0.0743469
Tram	0.0734028
boxcar	0.0715254
jeepney	0.0694418
"police car"	0.0680494
mini-buses	0.0673777
"express train"	0.0662998
tanker	0.0662995
"tractor trailer"	0.0660681
barge	0.0658998
forklift	0.0657921
motorcade	0.0648296
Mini-bus	0.0646769
"subway train"	0.0644478
tricycle	0.064352
taxicab	0.0639134
minivan	0.0633873
pickup	0.0633346
gondola	0.0628947
bike	0.0627304
snowmobile	0.0626065
"personnel carrier"	0.061115
elevator	0.0606975
"squad car"	0.0605341
airplane	0.0603901
automobile	0.0597431
"garbage truck"	0.0593396
"dump truck"	0.0591628
moped	0.0589961
cabin	0.0570253
"commuter train"	0.0567568
plane	0.0565171
Streetcar	0.0564272
"station wagon"	0.0563857
tractor-trailers	0.0563679
ferry	0.0563051
"fire engine"	0.0562399
"mobile home"	0.0560695
freight	0.0558344
Cruiser	0.0550866
"city bus"	0.0545612
motorboat	0.05447
"shuttle bus"	0.0541681
convertible	0.0539536
mule	0.0538692
convoy	0.0538488
"fire truck"	0.0534899
scooter	0.0534363
Stagecoach	0.0532841
caravan	0.0530516
"motor vehicle"	0.0528287
stroller	0.0522931
Sedan	0.0521713
derailment	0.052155
container	0.0514832
horse	0.0514628
yacht	0.051338
tank	0.0512788
engine	0.0512491
kayak	0.0508483
helicopter	0.0504129
"car seat"	0.0503738
suitcase	0.0503724
Mercedes	0.0502529
"cable car"	0.0500948
subway	0.0500487
aircraft	0.0495972
furniture	0.0493784
vessel	0.0493757
canoe	0.0490002
transformer	0.0486913
fuselage	0.0480711
minibuses	0.047726
coffin	0.0477011
Casket	0.0476161
toilet	0.0472908
wheel	0.0469878
"major-league team"	0.0468923
tunnel	0.0468348
"sewing machine"	0.046646
Pony	0.0466068
"shopping cart"	0.0464123
sled	0.0463464
axle	0.0461951
hut	0.0461141
semitrailer	0.0457829
"diesel engine"	0.045611
tent	0.0455655
camel	0.0444342
SUV	0.0443466
"oil tanker"	0.0441145
"household appliance"	0.044063
appliance	0.0438746
jetliner	0.0437659
"police van"	0.0436676
rail	0.043667
"military vehicle"	0.0436124
"dining room"	0.0432004
biplane	0.0429807
"race car"	0.0427459
"sports car"	0.0426847
rig	0.0426411
"power line"	0.0425813
airliner	0.0425755
sailboat	0.0421658
"fishing boat"	0.0420955
pedestrian	0.0420068
wheelbarrow	0.0416961
transporter	0.0416423
cargo	0.0416208
donkey	0.0416203
bedroom	0.041546
"landing gear"	0.0414805
"trash can"	0.0413546
lane	0.0411761
rider	0.0410802
"mountain bike"	0.0408819
"Ford Explorer"	0.0407536
casing	0.0404931
storefront	0.0403345
camper	0.0402953
carload	0.0402617
depot	0.0402231
trunk	0.040147
rowboat	0.0401048
))
("carriage house" (desc 1231.39) (sims
"town house"	0.131295
brownstone	0.129807
townhouse	0.124117
"log cabin"	0.115514
"manor house"	0.0989007
bungalow	0.0970294
duplex	0.0943379
"row house"	0.0917224
hacienda	0.0913012
farmhouse	0.0861605
"sailing vessel"	0.0837887
schoolhouse	0.0828146
"ranch house"	0.0822935
townhouses	0.0820901
walk-up	0.0813721
speakeasy	0.0801856
firehouse	0.0786352
"summer house"	0.0779423
Reichstag	0.0777949
storefront	0.0764842
rotunda	0.0744402
"sugar refinery"	0.0728626
"Union Station"	0.0725449
Palazzo	0.0719982
"Print Shop"	0.0698459
"chicken coop"	0.0698331
outbuilding	0.0696144
superspeedway	0.0684173
"wine cellar"	0.0642988
"Gomez Advisors"	0.0624729
"country house"	0.0619791
edifice	0.0619075
"park bench"	0.0610616
"railroad station"	0.0606305
"gambling casino"	0.0605031
commode	0.0604505
"Prospect Park"	0.0587404
"Brandenburg Gate"	0.0584214
"Pennsylvania Station"	0.0580962
"pocket watch"	0.0579513
"Public School @@@"	0.0578892
"vacant lot"	0.0578636
"shower stall"	0.0578453
"burial ground"	0.0572353
"sea captain"	0.0570765
"bunk bed"	0.0567874
outhouse	0.0564314
tenement	0.0561548
"butcher shop"	0.0552512
Pasha	0.0547473
treehouse	0.0544437
porthole	0.0540587
manor	0.0540519
"piece of cloth"	0.0538869
"pool table"	0.0534061
"police office"	0.0530935
playhouse	0.0530665
"rooming house"	0.0528606
"deposit box"	0.0528008
"Ebbets Field"	0.0527417
"slave ship"	0.0523835
"community newspaper"	0.0521818
Deerfield	0.0515069
"Charlotte Motor Speedway"	0.0514703
"watering hole"	0.0513886
godown	0.0512615
shredders	0.0512382
Convent	0.0511851
"funeral home"	0.0509847
mantelpiece	0.0504166
courtesan	0.0501219
Chateau	0.0500549
"Public School @@"	0.0500167
shredder	0.0496887
kitchenette	0.0493176
"farmer's market"	0.0492452
"Washington Monument"	0.0488218
"firing range"	0.0482752
"bell tower"	0.048128
haystack	0.0478799
claimer	0.0477154
manse	0.0477143
"Kai Tak Airport"	0.0476376
"petrol station"	0.0475471
blimp	0.0474871
organs	0.0474389
tavern	0.0474289
"liquor store"	0.046523
B-@s	0.0458558
"town hall"	0.0456675
bed-and-breakfast	0.0456349
Banknote	0.0456308
gazebo	0.0456227
"piece of land"	0.0455893
"cattle ranch"	0.0454381
"parade ground"	0.0453014
"beauty salon"	0.0452286
daguerreotype	0.0451275
esthetics	0.0451001
"Maple Leaf Gardens"	0.0449525
bed-and-breakfasts	0.0449197
Tudor	0.0447614
"Federal District Court"	0.0447509
"cotton mill"	0.0445915
"navy yard"	0.0445825
lass	0.0442267
"sphere of influence"	0.0441792
nunnery	0.0437777
stables	0.0437435
"Lincoln Bedroom"	0.0437162
"French door"	0.0436429
"jewelry store"	0.0436124
"office space"	0.0435474
penthouse	0.0433357
"race riot"	0.0432886
"candy store"	0.0432502
Triptych	0.0431242
"assembly hall"	0.0429796
"beauty parlor"	0.0428773
"vacation home"	0.0428763
"drawing room"	0.0428668
"man of letters"	0.0424808
"boarding house"	0.0424503
"tea house"	0.0424274
"three pitchers"	0.0423827
delicatessen	0.0423398
birdbath	0.0423371
"Apollo Theater"	0.0421338
"steel mill"	0.042109
cellblock	0.042086
"dining table"	0.0419932
"landscape painting"	0.0418825
"phone booth"	0.041834
"picnic area"	0.0417657
saloon	0.0417601
sub-branches	0.0417193
chandelier	0.0417111
"Olympic Park"	0.0417064
"stone wall"	0.0416601
"place setting"	0.0416595
"flower child"	0.0415547
cabinetmaker	0.0412403
"patrol ship"	0.041156
"ghost town"	0.0411049
blacktop	0.0410656
beanie	0.0409448
Lamborghini	0.0408809
"street sign"	0.0408182
"Grand Central Terminal"	0.0407992
"bank vault"	0.0407525
settee	0.0405515
"loud noise"	0.0404029
))
(Carrie (desc 5690) (sims
Nora	0.109676
Eileen	0.109283
Rebecca	0.0908164
Patricia	0.0899514
Kathleen	0.0879034
Julia	0.0856354
Nancy	0.0845312
Jennifer	0.0828469
Angela	0.0817455
Rachel	0.0816935
anna	0.0812717
Susan	0.0795601
hazel	0.0789066
Diane	0.0785022
Theresa	0.0776689
Julie	0.0773953
Kristin	0.0766936
Barbara	0.076606
"Satanic Verses"	0.0757652
Katherine	0.0757048
Cathy	0.0756992
Jeanne	0.0754233
Maria	0.0745815
gloria	0.0729739
Anne	0.0729022
"Parent Trap"	0.072439
Katie	0.0723256
Martha	0.0713427
Jackie	0.0710465
Marguerite	0.070625
Kate	0.0705346
Clara	0.0703893
Catherine	0.0700517
Annie	0.070049
Alexandra	0.0699252
Suzanne	0.0698101
Elaine	0.0690409
Sarah	0.068587
Ashley	0.0683332
Stephanie	0.0681143
Vicki	0.0680595
Lori	0.0678082
Lydia	0.0675904
Judy	0.0675095
Liz	0.0671255
Samantha	0.066726
Vanessa	0.066532
Emily	0.0665225
Melanie	0.0663336
Carolyn	0.0661292
Christine	0.0661093
Wendy	0.0656736
Lynne	0.0655286
Rita	0.0652607
Hannah	0.0649248
Jill	0.0644947
Josh	0.064482
Laura	0.0644146
Josephine	0.0643337
Caroline	0.064213
ANN	0.0641808
Renee	0.0639393
Jane	0.0639222
Mary	0.063827
becky	0.0634752
Kathy	0.0634022
Mona	0.0633831
Tracey	0.0629841
Lauren	0.0627859
Audrey	0.0625849
Leah	0.0624486
JoAnne	0.0622571
Betty	0.0620697
Brenda	0.0616238
Lisa	0.0613573
Nicole	0.0613205
Gertrude	0.0612839
Erica	0.0612836
Michelle	0.0604138
Margaret	0.060264
Beth	0.0602092
Evelyn	0.0596844
Sylvia	0.0586953
"Patsy Ramsey"	0.0585385
Linda	0.0580211
Kimberly	0.0580041
Maya	0.0576754
Eric	0.0570849
Dorothy	0.0569953
Natalie	0.0568261
Camille	0.0567555
Sophie	0.0565439
Jessica	0.0564357
Sonia	0.0563075
Eleanor	0.0561204
Gail	0.0561003
Sara	0.0560844
alicia	0.0560113
Serena	0.0559962
"Double Jeopardy"	0.0558596
Beverly	0.0557614
rocky	0.0557571
Jenna	0.0557146
Debbie	0.0556193
Cindy	0.0555867
Robin	0.0554195
Valerie	0.0554086
Dana	0.0553817
Christina	0.0553445
Lyn	0.0551782
Lynn	0.055166
Toni	0.0548836
Agnes	0.0546092
Tina	0.0543787
"Thin Red Line"	0.0543732
Alex	0.0541743
Karen	0.0541283
Alice	0.0539993
Jacqueline	0.0539327
Lolita	0.0539307
Courtney	0.0538456
Laurie	0.0537265
Rosa	0.0536636
Sally	0.0536047
Sam	0.0535702
Edna	0.053535
Terri	0.0532506
Janet	0.0529372
Marianne	0.0528957
Meg	0.0527798
Marie	0.0526859
Emma	0.0526804
Melissa	0.0526784
Pam	0.0525544
Irina	0.0525275
Claudia	0.0524902
Zorro	0.0524526
Frances	0.0522883
Joan	0.05224
Robbie	0.0521844
Esther	0.0521407
Gina	0.0521061
"Thomas Crown Affair"	0.0519915
Helen	0.0519282
Tevanian	0.0518531
Denise	0.0514021
sandy	0.0513149
Amy	0.0512761
Pauline	0.0511531
Amanda	0.051061
Matthew	0.0509275
Michele	0.050898
Sandra	0.0508844
Erin	0.0508272
"Cruel Intentions"	0.0507694
Hilary	0.0506955
Marilyn	0.0506049
Berenson	0.0505904
Deborah	0.0504305
"Karenna Gore Schiff"	0.0503552
Norma	0.0502712
Cynthia	0.0502181
Doris	0.0500739
"Mighty Joe Young"	0.0499904
Berle	0.0498486
Betsy	0.0498158
Carol	0.0497612
Zoe	0.0497489
Johanna	0.049656
"Azizah Ismail"	0.0496216
Charlie	0.049612
Marian	0.0496077
Olga	0.0495853
Danny	0.0494698
Danielle	0.0494613
Ellen	0.0494519
Connie	0.0493999
Andrea	0.0492821
Diana	0.049093
"snake eyes"	0.0490675
"Got Mail"	0.0490573
Lucy	0.0489902
Derek	0.0489806
Peggy	0.0487712
Corey	0.0487665
Edith	0.0486329
Debra	0.0484636
Terminator	0.0484535
"Perfect Storm"	0.0482138
BEA	0.048047
out-of-towners	0.0480007
Marion	0.0478792
Callie	0.0478432
Ken	0.0478196
"King Kong"	0.0477342
Elizabeth	0.0475405
Joshua	0.0472354
"Lauren Bessette"	0.0472081
Randy	0.0470138
Patti	0.0469686
))
(carrier (desc 101609) (sims
airline	0.299933
"phone company"	0.195341
provider	0.170717
company	0.160886
"telephone company"	0.156028
operator	0.13304
firm	0.127998
insurer	0.127471
bank	0.122317
corporation	0.122276
retailer	0.121537
manufacturer	0.120418
"aircraft carrier"	0.118321
"American Airlines"	0.117985
supplier	0.11695
Boeing	0.115915
delta	0.11052
"commercial bank"	0.108877
competitor	0.108516
"insurance company"	0.108003
"Air France"	0.107358
giant	0.104543
utility	0.104026
automakers	0.103566
network	0.102032
maker	0.101889
"US Airways"	0.101887
"America West"	0.101437
"United Airlines"	0.101409
aircraft	0.101241
automaker	0.101115
"cable operator"	0.100786
"British Airways"	0.100366
customer	0.0994649
continental	0.0994048
"Bell Atlantic"	0.0987212
"Northwest Airlines"	0.098654
"financial institution"	0.0985814
enterprise	0.0981008
employer	0.0969614
exporter	0.0967365
business	0.0955293
industry	0.0951321
vessel	0.0945264
"shipping company"	0.094327
conglomerate	0.092854
agency	0.0925488
Swissair	0.0921014
railroad	0.0917892
"Continental Airlines"	0.0917832
brokerage	0.0910345
plane	0.0899461
ship	0.0899448
distributor	0.0898902
subsidiary	0.0888606
HMO	0.0887474
"brokerage firm"	0.0886828
consumer	0.0882056
producer	0.088033
lender	0.0865853
service	0.0865549
Lufthansa	0.0861905
buyer	0.0861041
investor	0.0858571
chain	0.0848795
"Philippine Airlines"	0.0844883
partner	0.0844758
unit	0.0843611
fleet	0.0836289
BellSouth	0.0833591
"Air Canada"	0.0827877
institution	0.081949
user	0.0818406
vendor	0.081805
broker	0.0817718
developer	0.081578
ISPs	0.0813245
broadcaster	0.0812426
"auto maker"	0.0810009
"trucking company"	0.0809254
contractor	0.0808241
importer	0.0808134
"Cathay Pacific"	0.080674
farmer	0.0799147
"Delta Air Lines"	0.0793905
organization	0.0793641
flight	0.0792475
seller	0.0789987
pilot	0.0789786
station	0.078763
TWA	0.0785203
airplane	0.0784292
union	0.0782004
merchant	0.0780292
dealer	0.0780188
"central bank"	0.0779668
"trading partner"	0.0778635
group	0.0776837
employee	0.077356
American	0.0771478
sector	0.0770464
passenger	0.076909
"power company"	0.0766005
worker	0.0765684
businessmen	0.0762958
jet	0.0762466
startup	0.07591
"MCI WorldCom"	0.0759088
university	0.0757995
"Air Force"	0.0755816
KLM	0.0755328
"travel agency"	0.0753345
Microsoft	0.0749911
entity	0.0747052
MCI	0.0746366
ISP	0.0745525
shipper	0.0745137
warship	0.0743532
factory	0.0742354
"school district"	0.0741865
government	0.0741066
submarine	0.074104
GTE	0.0740933
hub	0.0736931
owner	0.0736779
Qwest	0.0735219
Alitalia	0.0735088
"America Online"	0.0733092
rival	0.0731409
market	0.0728144
"federal government"	0.0727023
"Deutsche Telekom"	0.0725286
trader	0.0720477
system	0.0720373
"El Al"	0.071918
individual	0.0716637
subscriber	0.0715473
advertiser	0.0714914
hospital	0.0714054
"U S West"	0.0710894
"defense contractor"	0.0709865
route	0.0708969
Airlines	0.0707772
venture	0.0706717
"Southwest Airlines"	0.0705344
airliner	0.070489
Motorola	0.0704125
"joint venture"	0.0704003
"drug maker"	0.070303
operation	0.0701844
people	0.0698889
carmakers	0.0698607
nation	0.0696703
"banking company"	0.0696472
AOL	0.0695916
"car maker"	0.069488
country	0.0694451
wholesaler	0.0694429
product	0.0693635
"mining company"	0.0693106
regulator	0.0689698
AIRTRAN	0.0689439
Airbus	0.0688666
tanker	0.0687045
"Time Warner"	0.0684992
shareholder	0.0684787
GM	0.0684768
"political party"	0.0684691
port	0.0684667
SBC	0.0683906
issuer	0.0681599
client	0.0680775
city	0.0680627
bidder	0.0678708
publisher	0.0677423
"brokerage house"	0.0675787
grower	0.0675408
refiner	0.0673272
"stock exchange"	0.067325
navy	0.0673123
helicopter	0.0673042
airport	0.0670316
multinationals	0.0669207
creditor	0.0668115
vehicle	0.0668083
monopoly	0.0667121
refinery	0.0666981
economy	0.0665946
state	0.0665692
"container ship"	0.0665188
cable	0.0660972
entrepreneur	0.066018
polluters	0.0659239
patient	0.0657922
affiliate	0.0657748
Vodafone	0.0657738
freighter	0.0655623
"holding company"	0.0654723
"finance company"	0.0654561
upstart	0.065438
))
(Carroll (desc 17809.7) (sims
"Pete Carroll"	0.16636
Belichick	0.133035
Fassel	0.130544
Parcells	0.121065
Sampson	0.119096
Holmgren	0.117056
Hackett	0.111726
Gailey	0.108315
Torre	0.106993
Kraft	0.106206
murphy	0.105399
Reeves	0.104631
O'Brien	0.103324
Riley	0.101628
Walsh	0.100072
Snyder	0.0971978
Bowden	0.0971741
Burns	0.0971571
Steele	0.0963155
Grier	0.0958547
Pitino	0.0940365
Vermeil	0.0937183
Reilly	0.0937104
Donnan	0.0921045
fisher	0.0918154
"Bill Belichick"	0.0915303
"Bob Kraft"	0.091287
Tagliabue	0.0909751
Ponciano	0.0904505
Calhoun	0.0890065
Johnson	0.0890007
Ramsey	0.0883719
Groh	0.0883707
"Van Gundy"	0.0881393
smith	0.0880327
Tomjanovich	0.0880088
McCurry	0.0879381
Neuheisel	0.0878082
Campo	0.0874318
McMellon	0.0871157
Tobin	0.0868855
Shanahan	0.0868454
Milutinovic	0.0867606
Hoddle	0.0867118
Jarvis	0.0863595
Oates	0.0861592
Slocum	0.0857331
Jones	0.0851281
Richardson	0.0850446
Sullivan	0.0850429
Jackson	0.0850421
Mariucci	0.0849086
Lavin	0.0848516
Bennett	0.0848197
Monson	0.0847606
Nelson	0.0844703
"Chan Gailey"	0.0840808
Milloy	0.0837583
Schmid	0.0836537
Ditka	0.0835141
Zimmer	0.0834575
Welch	0.0834014
Duquette	0.083134
Donahue	0.0830909
Hargrove	0.0830907
DiCicco	0.0826362
Krzyzewski	0.0825055
Cohen	0.0820498
Rhodes	0.0819264
Erickson	0.0818889
Wilson	0.0818014
Solich	0.0817426
Olson	0.0817006
Hartsburg	0.0811002
Lockhart	0.0810302
Berenson	0.0807194
"Bill Parcells"	0.080703
Osborne	0.0800737
Fulmer	0.0799851
Schwarz	0.0799142
Copeland	0.0796698
Miller	0.0796633
Hoffman	0.0795016
Ainge	0.0794339
Adams	0.079429
Cooper	0.0793903
Crenshaw	0.0793781
Bowman	0.0792769
Dungy	0.0789043
Meissner	0.078812
Mitchell	0.0787868
Arum	0.0784708
"Dave Campo"	0.0781899
Selig	0.078189
Kaplan	0.0779559
Westphal	0.0779316
martin	0.0778212
Coughlin	0.0775964
Johnston	0.0775149
Robinson	0.0773781
Blake	0.0773459
Thompson	0.0773283
Samaranch	0.0769997
Babbitt	0.0769166
Volpe	0.0768373
Ferguson	0.0765454
Burke	0.0764045
Davis	0.0763329
Barksdale	0.0763253
Richards	0.0763178
Moore	0.0762481
Goldstein	0.0762241
Edwards	0.0761965
Phillips	0.0759459
Lambright	0.0758899
Foley	0.0756723
Rivera	0.0755417
Egan	0.0754431
BENSON	0.0753544
Hyde	0.0752726
Zambrano	0.0751429
Tomey	0.0751347
Peterson	0.0751145
Yeltsin	0.0746422
Brooks	0.0744538
collins	0.0744208
Zampese	0.0743547
Murray	0.0743044
Kearin	0.0742641
Greenberg	0.0742244
Payne	0.0741863
Levin	0.07398
Billick	0.0739502
Sorensen	0.0739324
Seifert	0.0737941
Lasorda	0.0733993
Dierker	0.0733806
Bledsoe	0.0732209
Ellis	0.0730234
Heinrichs	0.0729229
Steinbrenner	0.0729025
Rodriguez	0.0728593
Piniella	0.0725645
Alderson	0.0725302
Friedman	0.0724622
valentine	0.0724114
Stepashin	0.0723301
Allen	0.0721041
Keenan	0.0720494
"Mike Holmgren"	0.0720289
Goldberg	0.0719283
Carter	0.071922
Rubinstein	0.0718339
Lott	0.0717547
"Jimmy Johnson"	0.0717148
Evans	0.0715681
Henley	0.0715556
Palmer	0.0715314
Harris	0.0714944
Schottenheimer	0.0714263
Rambis	0.0713532
Hess	0.0713479
Gullikson	0.0713214
Tubbs	0.071289
Harris-Lewis	0.0712484
Morrison	0.0711695
Hitchcock	0.0711062
hale	0.0709855
Elliott	0.0709583
Steinberg	0.0709493
McGinest	0.0708835
Reimer	0.070834
Brock	0.070678
Armey	0.0706534
Klein	0.0706344
Finkel	0.0706079
Landry	0.0704791
"Norv Turner"	0.0704606
Daly	0.0704446
Wallace	0.0703617
Alvarez	0.0703531
Greenspan	0.0702929
Poole	0.0701672
Grossman	0.0701516
"Dan Reeves"	0.0701293
Leyland	0.0701177
Connolly	0.0701124
Davidson	0.0697575
Coleman	0.0697156
O'Connell	0.0696749
"Rich Brooks"	0.06959
Doherty	0.0695532
"La Russa"	0.0695098
Rosenthal	0.0694946
Lundberg	0.0694819
Davies	0.0693117
Schmidt	0.0692796
Bernstein	0.0690926
Greene	0.0690716
Muckler	0.0690639
))
(Carrollton (desc 1753.96) (sims
LaGrange	0.158748
"Round Rock"	0.149914
Dunwoody	0.143052
Plano	0.142648
"Sandy Springs"	0.136841
Alpharetta	0.135013
Katy	0.134675
Lawrenceville	0.133956
Norcross	0.130711
Odessa	0.124317
Riverdale	0.122877
Farmington	0.122367
Bloomington	0.117081
Longview	0.11704
Duluth	0.113307
"Fayette County"	0.112333
Americus	0.112018
Thomasville	0.111305
Morristown	0.110771
"San Angelo"	0.110442
"Lake Worth"	0.109355
"Woodland Hills"	0.109161
"Grand Prairie"	0.108088
"Eagle Pass"	0.107868
"Stone Mountain"	0.106156
Westfield	0.106041
Leawood	0.10472
Smyrna	0.103993
"Paradise Valley"	0.103128
Beaumont	0.100309
Amarillo	0.100285
"Gwinnett County"	0.0998399
Woburn	0.0994143
Palmdale	0.0977163
Waterbury	0.0973875
"Wichita Falls"	0.0970344
Chatsworth	0.0970224
LAKEWOOD	0.096525
Lubbock	0.096333
"Saratoga Springs"	0.0959436
"Newport Beach"	0.0959242
Reseda	0.0959046
Harlingen	0.0954066
Stockbridge	0.0953229
Hillsboro	0.0940899
Texarkana	0.0940213
Saginaw	0.0939659
"Van Nuys"	0.0938966
Kensington	0.0928942
Fayetteville	0.09276
Encino	0.0926115
Wildwood	0.0922649
Fenton	0.0921286
"Mount Pleasant"	0.0918895
Needham	0.091642
"Westlake Village"	0.0912865
"Port Arthur"	0.0908072
Fredericksburg	0.0905617
Calabasas	0.0903454
"Boynton Beach"	0.0897652
Montclair	0.0897155
Kettering	0.089045
Pittsfield	0.0886732
Eureka	0.0880617
Decatur	0.087901
Dearborn	0.0871692
"SIERRA BLANCA"	0.0870904
Englewood	0.0870266
"Fort Benning"	0.0863323
"Crystal City"	0.0863153
"Walnut Creek"	0.0860841
Addison	0.0860542
Killeen	0.0853253
Brunswick	0.085149
"Thousand Oaks"	0.0844377
"DeKalb County"	0.0843059
BRIGHTON	0.084115
Nacogdoches	0.0840569
"Fall River"	0.0834617
DeKalb	0.0834255
Wallingford	0.0828599
"Jefferson City"	0.0822751
Denton	0.0821841
"Corpus Christi"	0.0813902
"East Orange"	0.0812963
Pelham	0.0811692
Mansfield	0.0785895
Pecos	0.0783919
Somerville	0.0782898
Surrey	0.0774799
"Fairfax County"	0.0773745
Chappaqua	0.0771849
Jasper	0.0770679
Naperville	0.0766604
Carthage	0.0759791
Schenectady	0.0758038
ARCADIA	0.0750708
Galveston	0.0748853
MINEOLA	0.0748701
"Cobb County"	0.0747721
Salisbury	0.0745321
Forsyth	0.0738882
Arlington	0.0733784
"Del Rio"	0.0733645
Chesterfield	0.0730411
"White Plains"	0.0729452
Bedford	0.0728576
"Orthodox Jewish"	0.0725951
Fremont	0.0725093
Bremen	0.0722455
"New Rochelle"	0.0721256
Covington	0.0718165
Abilene	0.0716558
midland	0.0716073
Laredo	0.0714658
Fairfax	0.0712701
Marjayoun	0.0711791
"Mill Valley"	0.0709849
Pomona	0.0706687
Macoris	0.070626
"Highland Park"	0.0705578
Bridgewater	0.0702145
Greensboro	0.0701104
Macon	0.0700029
Evanston	0.069955
"Simi Valley"	0.0698522
"Overland Park"	0.069747
Sunnyvale	0.0695968
"Monroe County"	0.0695007
"Granada Hills"	0.0691204
Lexington	0.0691184
Urus-Martan	0.0689014
Chatham	0.0687764
Alameda	0.0686562
Pasadena	0.068525
"Sun City"	0.0685097
Waltham	0.0684692
Bryan	0.0683668
Framingham	0.0682663
Stamford	0.0682633
Puebla	0.0682225
Aberdeen	0.0681595
Xenia	0.0681372
Falmouth	0.0681365
"Cherry Hill"	0.0680916
Roswell	0.0675399
Chamblee	0.0674725
"Santa Clarita"	0.0673774
Poughkeepsie	0.0672064
"New Braunfels"	0.067146
Bloomfield	0.0671024
Quincy	0.0669352
Derry	0.066889
Reston	0.0667289
Peterborough	0.06666
Cacak	0.0665127
Irving	0.0665041
"Silver Spring"	0.0663043
"Delray Beach"	0.0661029
"South San Francisco"	0.0657678
CAMILLA	0.0656996
Conyers	0.0655464
Camarillo	0.0653002
Dundalk	0.0652054
Elmira	0.0649938
Gloucester	0.0649647
Wellesley	0.0648961
Marietta	0.0648118
Hialeah	0.0647477
Gainesville	0.0645451
Gudermes	0.0643257
"Fulton County"	0.0643001
Suwanee	0.0642807
"College Park"	0.0641666
"College Station"	0.0640586
Tarzana	0.0640036
Jinja	0.0639706
Pleasanton	0.0639058
Fresno	0.063893
Milford	0.0637706
"St. Paul"	0.0635308
Yonkers	0.0631251
Dalton	0.0630584
"San Marcos"	0.0628665
Tarrytown	0.0626914
"Jackson County"	0.0625787
Sparta	0.0624869
"Palm Beach Gardens"	0.0623557
Amherst	0.0621699
SEABROOK	0.0619503
Matamoros	0.0618257
Tokaimura	0.0616784
Makhachkala	0.0616084
Greenville	0.0615757
Dover	0.0615724
Bellevue	0.0613579
"Westchester County"	0.0613013
Izmit	0.0612262
riverside	0.061147
Carlisle	0.0610084
))
(carrot (desc 26743.3) (sims
onion	0.340749
"red onion"	0.323337
celery	0.316393
zucchini	0.304835
cucumber	0.301593
"bell pepper"	0.299492
leek	0.299427
tomato	0.284254
potato	0.27049
cabbage	0.270159
"green onion"	0.268181
turnip	0.26565
eggplant	0.265399
scallion	0.264829
shallot	0.264201
spinach	0.252202
beet	0.251434
Garlic	0.246212
Broccoli	0.246084
"green bean"	0.244471
radish	0.242205
"sweet potato"	0.240958
lettuce	0.235309
"red pepper"	0.233753
fennel	0.22859
parsnip	0.226215
asparagus	0.225552
"green pepper"	0.219407
cauliflower	0.214462
"brussels sprout"	0.212185
mushroom	0.208899
pea	0.204204
squash	0.197174
pineapple	0.197009
avocado	0.196625
cilantro	0.195274
parsley	0.19415
pepper	0.193427
"garlic clove"	0.189236
artichoke	0.188037
bean	0.18629
arugula	0.185152
okra	0.180444
rutabaga	0.180047
Basil	0.178389
cheese	0.175834
ginger	0.175662
jalapeno	0.17194
pumpkin	0.171911
Kale	0.170568
mango	0.170089
chilies	0.170084
"water chestnut"	0.167058
watercress	0.166509
"red bell pepper"	0.165982
peach	0.164325
vegetable	0.164111
chive	0.16199
chard	0.16106
RHUBARB	0.161005
ham	0.159432
lemon	0.156652
corn	0.156328
chicken	0.15631
pear	0.154993
olive	0.153082
"black olive"	0.152908
apple	0.151662
melon	0.150854
chiles	0.150752
almond	0.150418
shrimp	0.149882
Chickpea	0.149321
papaya	0.149138
"plum tomato"	0.148811
"pine nut"	0.148487
lentil	0.147833
sausage	0.146788
cantaloupe	0.146678
walnut	0.146495
bacon	0.146322
thyme	0.145776
"bay leaf"	0.145355
"shiitake mushroom"	0.144677
bread	0.144538
Collard	0.142634
pancetta	0.142246
oregano	0.141484
"chicken breast"	0.141257
pasta	0.140116
plantain	0.139559
fig	0.139279
clove	0.139234
watermelon	0.139111
"winter squash"	0.138088
"black bean"	0.138086
"Swiss chard"	0.137387
tomatillo	0.137147
"snow pea"	0.135233
"cherry tomato"	0.134674
mint	0.134346
"bok choy"	0.134002
"goat cheese"	0.133852
noodle	0.133503
yam	0.13319
mozzarella	0.132084
fruit	0.130842
dill	0.130297
"bean sprout"	0.13013
pork	0.12991
Endive	0.128968
mustard	0.12849
salad	0.12778
banana	0.126873
prosciutto	0.126841
egg	0.12621
"lemon juice"	0.125857
Parmesan	0.124984
"hard-boiled egg"	0.124268
vinegar	0.123078
"blue cheese"	0.123073
"collard greens"	0.122898
Orange	0.122753
"cheddar cheese"	0.12261
meat	0.121251
butter	0.119324
Chili	0.118426
salt	0.118424
steak	0.118344
raisin	0.117602
tofu	0.117565
"tomato sauce"	0.117428
"sour cream"	0.117186
lemongrass	0.117149
apricot	0.116264
peanut	0.116074
"fava bean"	0.115147
"black-eyed pea"	0.115139
lime	0.114324
pecan	0.114195
herb	0.114192
tarragon	0.114114
rosemary	0.113996
coconut	0.113953
pickle	0.11357
sauce	0.113417
"lima bean"	0.11292
polenta	0.112895
soup	0.112716
mayonnaise	0.112454
slice	0.111731
"olive oil"	0.111528
plum	0.111031
rice	0.110355
puree	0.110315
anchovy	0.110114
beef	0.10973
"white bean"	0.109689
cranberry	0.109682
blueberry	0.109287
"chili pepper"	0.109221
"vanilla bean"	0.109201
macaroni	0.109047
ricotta	0.109038
broth	0.108838
strawberry	0.108471
horseradish	0.108317
salami	0.108026
"roast beef"	0.107672
kernel	0.107039
"cream cheese"	0.106328
florets	0.106309
"hot pepper"	0.106152
"lime juice"	0.106014
veggie	0.105758
leaf	0.105519
sugar	0.105382
Cherry	0.104909
"lemon zest"	0.104607
mussel	0.104553
"string bean"	0.104515
Cheddar	0.104199
raspberry	0.103553
"chicken broth"	0.10334
sauerkraut	0.103329
nut	0.102989
"orange zest"	0.102686
"sweet corn"	0.101936
"ground beef"	0.101771
marjoram	0.101562
hazelnut	0.101401
"romaine lettuce"	0.101345
"cottage cheese"	0.101297
radicchio	0.101106
"orange peel"	0.100616
grape	0.100098
peppercorn	0.0998874
tuna	0.099549
"peanut butter"	0.0995298
barley	0.0992185
))
(Carruth (desc 2266.9) (sims
Swango	0.199281
"Russell Peeler"	0.178099
Kiareldeen	0.174423
Stayner	0.169448
Shayler	0.164471
Haouari	0.162076
Neulander	0.161915
Meskini	0.153533
Sheinbein	0.150273
Blackthorne	0.14961
Arizmendi	0.1453
Giacchetto	0.145031
"Ruiz Massieu"	0.141684
"Maturino Resendiz"	0.140089
Ntakirutimana	0.138046
Ntuyahaga	0.136876
Nikitin	0.135353
Sakic	0.135345
Priebke	0.133075
Faget	0.132114
Kalejs	0.13209
Mikhailov	0.131843
Karr	0.130379
Kimeses	0.129484
Mattysse	0.129018
"Rae Carruth"	0.128346
"El Hage"	0.128211
Al-Amin	0.127861
Krajisnik	0.12766
Druckenmiller	0.127013
Chmura	0.126835
Lazarenko	0.1235
peeler	0.121462
Berenson	0.120982
Trie	0.120854
Boesak	0.120509
Gravano	0.11981
Salemme	0.119727
Einhorn	0.119131
furrow	0.119005
"Martin Frankel"	0.118475
Cheung	0.118151
Jenoff	0.117225
Hiett	0.116833
Ressam	0.116674
Pirro	0.115872
Hsia	0.115419
Raduyev	0.114167
Skakel	0.114087
Jelisic	0.114047
Soliah	0.113937
Shipman	0.113726
Frankel	0.113462
Khalil	0.112884
Hirschfeld	0.111887
Krstic	0.111767
Alves	0.111746
looper	0.111321
Kagalovsky	0.111011
Capano	0.108492
Hensley	0.108256
Kovacevic	0.107874
Manbar	0.107759
Kodikian	0.10766
Papon	0.107624
Yoo	0.106554
"Dinko Sakic"	0.106236
Noriega	0.106235
Baumhammers	0.106115
Kaczynski	0.103663
Cavallo	0.103525
Merlino	0.103309
Villanueva	0.103023
Gurule	0.102713
"Michael Skakel"	0.102523
"Maturino Resendez"	0.102468
Kazhegeldin	0.102467
Zarkin	0.101972
McKinney	0.101451
"Raul Salinas"	0.101429
Sotomayor	0.100866
Sweeting	0.100544
Hage	0.100395
Romanowski	0.100102
Agca	0.0999865
Valenzuela	0.0999234
Falater	0.0998926
"Bin Laden"	0.0997047
Paciello	0.0992493
"Del Toro"	0.0992485
Schiffer	0.0988917
WARRICK	0.098001
Fagan	0.0975742
Ghani	0.0973123
Gusinsky	0.0968088
Haney	0.096743
Brownlee	0.0967255
Natale	0.0966649
Cisneros	0.0962395
Resendez-Ramirez	0.0960733
McSorley	0.0955762
Garofalo	0.0947868
Gotti	0.0942393
"Ray Lewis"	0.0942392
Kopp	0.0937803
leeson	0.093647
Elhage	0.0935446
Dorismond	0.0934753
Mladic	0.0932863
Drabinsky	0.093073
Mitnick	0.0930066
Kambanda	0.0928485
Kaunda	0.0925356
Oviedo	0.0921443
Palczynski	0.0920644
Brunner	0.0920273
Dokmanovic	0.091255
Wiese	0.0909625
"Abu Nidal"	0.0906928
Nunez	0.0903863
Laudor	0.0898727
Kurtz	0.0896739
Flemmi	0.0892102
Hofer	0.0881698
Babitsky	0.0878424
Kimes	0.0877912
Gauthe	0.087165
Soyinka	0.0868845
Bove	0.0866512
Schaeuble	0.0866479
Salim	0.0866236
Espy	0.0862361
Martorano	0.0860928
Nasrin	0.0858928
D'Amico	0.0858088
Ankiel	0.0857147
Karbaschi	0.085582
Faulder	0.08467
Hubbell	0.0845281
O'Hair	0.0840779
Connolly	0.0835734
Haughey	0.0834784
Goldstein	0.0834524
Zamora	0.0833768
Bisek	0.083236
Markhasev	0.0825175
Lundy	0.0823149
Bakaly	0.0821423
Gutman	0.0820925
Kluivert	0.0819401
Akayesu	0.0818818
Vasquez	0.0818453
Livoti	0.0818385
Mcbride	0.0817951
Gritz	0.081694
Schwarz	0.0815662
Brennan	0.0813464
Bhutto	0.0807731
Montiel	0.0805857
Contreras	0.0802855
Pollard	0.0799387
Shulman	0.0795904
Grossberg	0.079574
Symington	0.0795659
Winkler	0.0795038
Olson	0.0794271
Bowe	0.0793537
Crocker	0.0793294
Odeh	0.0791543
Astacio	0.0790075
Combs	0.0787686
Salinas	0.0787502
Norberg	0.0786436
Garza	0.0783973
Reyes	0.0783745
Farris	0.0782867
Nathaniel	0.0779914
Lileikis	0.0779635
Sebaggala	0.0778797
Schreiber	0.0776397
Willey	0.0775868
Navarro	0.0775608
Jakob	0.0775293
DeBartolo	0.0773572
Francois	0.077142
Stearns	0.0771343
McVeigh	0.0769541
Kozeny	0.0766578
Volpe	0.076233
Ibrahim	0.0761236
Maradona	0.0760644
Robison	0.0758738
Karadzic	0.0758203
Ng	0.0757656
Marinovich	0.0754424
Kinkel	0.0752239
Imperatori	0.0751872
Cubas	0.0749109
Laudrup	0.0748585
Noe	0.0746655
))
(carry (desc 954.483) (sims
"more than @,@@@ yards"	0.105434
"more than @@@ yards"	0.0844197
triple-double	0.0835763
"two sacks"	0.0830503
TDs	0.0804553
double-double	0.0795743
"more than @@ points"	0.0764672
"one homer"	0.0719653
Daylami	0.0686196
"over six"	0.0676395
keystroke	0.0659799
"break of serve"	0.0630115
no-decision	0.0627678
"Phoenix Mercury"	0.062618
baserunners	0.0614875
no-decisions	0.0610958
"Less than one"	0.0607911
"three sacks"	0.0602209
"over .@@@"	0.0589232
"upper hand"	0.0580737
taskforce	0.0577484
"more than @@ yards"	0.0566884
"six homers"	0.0564568
"first reading"	0.0560915
"four sacks"	0.0556053
"Share Prices Continue"	0.0549333
"two baskets"	0.0544442
goalscorer	0.0543217
year.	0.0542315
"five homers"	0.054169
afterburner	0.0529091
"two match points"	0.0526905
"New York-New Jersey MetroStars"	0.0526181
"four homers"	0.0525342
hole-in-one	0.0518469
"rest day"	0.0516472
"train ticket"	0.0515893
"three match points"	0.0512087
"won @@@"	0.0510205
divot	0.0504176
"over @@@ points"	0.0502672
career-highs	0.0501669
"health check"	0.0500595
GAA	0.0499702
"ground attack"	0.0499036
prizefighter	0.0497343
crazies	0.0495165
team-high	0.0494667
"goose bumps"	0.0494451
"Jackson State"	0.0488808
"elbow room"	0.048829
technicals	0.0487073
"Nearly two"	0.0485035
dibs	0.0482604
"CHARLOTTE STING"	0.048228
"margin call"	0.0480684
"over @@ points"	0.0478975
"great year"	0.0476271
"ownership stake"	0.0475566
synopses	0.0471541
"Cliffs Notes"	0.0470368
"Viswanathan Anand"	0.0470205
"Maria Mutola"	0.0468665
FloJo	0.0466768
suction	0.0466438
"eight homers"	0.0461226
"square foot"	0.0457642
householder	0.0456484
Nivel	0.0453638
punchline	0.0452348
baserunner	0.0447336
"sugar refinery"	0.0444099
subpar	0.0443926
"equity stake"	0.044308
par-@s	0.0441011
maquiladoras	0.0439648
Kazhegeldin	0.0439147
non-factor	0.0438343
"Swiss Open"	0.0437873
"five @-pointers"	0.0435945
hex	0.0431533
"great deal"	0.0430387
informing	0.0429875
"one line"	0.0429045
"Thunder Gulch"	0.0428137
"over seven"	0.0424076
"clean slate"	0.0423167
closers	0.0418386
Sultanate	0.0416476
"free rein"	0.0415587
"two bottles"	0.0414257
fibula	0.0413219
bushel	0.0411784
"Sensitive Index"	0.041121
"more than six"	0.0410742
buzzer-beater	0.0406911
"quarter horse"	0.0406714
"cost structure"	0.0405727
"Deon Hemmings"	0.0404973
Seizinger	0.0404926
flexor	0.0404853
Burnt	0.0404804
"base hit"	0.0404131
nodule	0.0403787
"one sack"	0.0403496
"Border collie"	0.0403168
gazebo	0.0403028
snuck	0.0401721
))
("carry over" (desc 5805.13) (sims
prior	0.0693676
"push back"	0.057308
Fast-forward	0.0539247
hunker	0.0525123
"paying back"	0.0440291
self-destruct	0.0419283
"test drive"	0.0415079
assimilation	0.0408779
rollover	0.0408163
"one go"	0.0400229
))
(carry-on (desc 1596.02) (sims
"Louis Vuitton"	0.120988
Oedipal	0.0945725
O'Meara's	0.0702788
baguette	0.0701488
surfboard	0.0631086
cellophane	0.061466
cadaver	0.0611998
Hands-off	0.0604856
"personal business"	0.0598075
HERMES	0.0575321
"potato chip"	0.057217
toiletry	0.0568501
holster	0.0549133
segregationist	0.0538988
lawnmower	0.0538422
"service break"	0.0535122
"bowling ball"	0.0499794
self-service	0.0492875
satchel	0.048607
latte	0.048187
"break of serve"	0.0474926
"golf bag"	0.0473808
"polyvinyl chloride"	0.0466895
zoning	0.0461741
GSP	0.0456257
hobo	0.0451495
"A few key"	0.0444863
prosthesis	0.0444311
"jigsaw puzzle"	0.0442884
clicker	0.0442423
commissary	0.0441356
knitting	0.044086
"beach towel"	0.0440499
gingham	0.0437886
"iron fist"	0.042721
comeuppance	0.0425795
molar	0.0423189
drawstring	0.0421726
slipup	0.041725
"mind's eye"	0.0411219
Scelzi	0.0407493
snakeskin	0.040531
Ferragamo	0.0404818
))
(carrying (desc 1869.06) (sims
decommissioning	0.186599
importing	0.161196
importation	0.111017
licensing	0.101644
exportation	0.0896907
vending	0.0879355
"short selling"	0.0861224
confiscation	0.0801103
Posting	0.0782193
sending	0.0771069
pumping	0.076998
overflights	0.0752751
cloning	0.0750593
cockfighting	0.0742588
clear-cutting	0.0736406
stockpiling	0.0728414
"game of chance"	0.0714518
fingerprinting	0.0707813
harvesting	0.0707517
spreading	0.0692282
watercraft	0.0689844
possessor	0.0678518
desecration	0.0644946
"corporal punishment"	0.064366
"fox hunting"	0.0637938
bodysuits	0.0626212
"member bank"	0.0621165
betting	0.0607378
riverboats	0.0604062
disarming	0.0603324
resale	0.0602885
"Perez Balladares"	0.0599867
ordination	0.0597728
snowmobile	0.0597296
"international flight"	0.0593576
andro	0.0591311
overproduction	0.0589123
using	0.058745
"more than @@@ tons"	0.0584822
purchaser	0.0575757
euthanasia	0.0567323
tracing	0.0566873
ILGO	0.0558795
copying	0.0548525
dissemination	0.0545923
CFCs	0.0541595
dumping	0.0536045
rollovers	0.0531179
shipload	0.0529964
polygamy	0.0528492
unloading	0.0527685
"air travel"	0.0525804
watering	0.0524529
targeting	0.0524497
"commercial activity"	0.0512901
"alcoholic beverage"	0.0511834
airdrop	0.0511275
drilling	0.0511258
"Di Canio"	0.0510833
JAT	0.0510529
cremation	0.0509492
infiltration	0.0507177
misappropriation	0.0505746
felling	0.0503033
DDT	0.0501277
"Harare International Airport"	0.0497614
"Virtue Party"	0.0492273
seepage	0.0486565
militarization	0.0486156
nonproliferation	0.0477189
airing	0.047518
Gunmakers	0.0474521
"slot machine"	0.0474312
trawler	0.047254
airflow	0.0471109
retrieval	0.0470867
unionism	0.0467065
"over @@,@@@ tons"	0.0467026
blocking	0.0466395
scrapping	0.0465075
sodomy	0.0464753
"protest march"	0.0459332
"mass murder"	0.0455142
"Welfare Party"	0.0450348
kink	0.0447449
MTBE	0.0441471
eavesdropper	0.0440045
"hard drug"	0.0439994
sparkler	0.0438236
rowdiness	0.04373
dilation	0.0436557
pillaging	0.0433922
"religious service"	0.0431432
hostage-taking	0.0431212
apparatchiks	0.042958
nationalization	0.0428455
incitement	0.0427643
"nuclear explosion"	0.0427511
"defense system"	0.042354
"Islamic Welfare Party"	0.0423457
spanking	0.0423297
canape	0.0422482
guarding	0.0421827
feds	0.042146
"about nine"	0.0420207
spam	0.0419486
Zuelle	0.0419108
"business activity"	0.0415547
"Muslim Brotherhood"	0.0414283
maltreatment	0.0413361
mushrooming	0.0412073
Emigration	0.041115
"deficit spending"	0.0410537
"biological clock"	0.0407299
erection	0.0407273
Salam	0.0406346
floatation	0.0405879
"juvenile delinquency"	0.0405628
"more than @,@@@ tons"	0.0405243
awarding	0.0405237
"Papa John"	0.0404134
Asprilla	0.0403205
"drug business"	0.0402664
placing	0.040143
"nearly four"	0.0401051
usurpation	0.0401038
))
(carryover (desc 3214.12) (sims
"personal loan"	0.0771957
holdover	0.0680142
longterm	0.0635496
REIT	0.0551656
"fund-raising drive"	0.0543063
bequest	0.0537142
"annual payment"	0.0526639
counteroffer	0.0525205
dlr	0.0523425
whiplash	0.0509013
"beam of light"	0.0505171
pendulum	0.0503119
Boomerang	0.0502241
"nest egg"	0.0499446
"exact opposite"	0.0499059
barbell	0.0490093
spillover	0.0489598
turnabout	0.0483422
leftover	0.0479008
rethinking	0.047882
"war chest"	0.045385
payday	0.0451114
hangover	0.0450135
feeler	0.0436203
outtakes	0.0433378
CGI	0.043307
"ad blitz"	0.0432129
"name change"	0.0431903
pushcart	0.0428926
"capital gain"	0.042263
"sea horse"	0.0422396
"sour grapes"	0.0418263
placebo	0.0416285
shattering	0.0415061
bettor	0.0415032
"small cap"	0.0414825
domino	0.0412306
"break of serve"	0.040848
"fund-raising campaign"	0.040495
"operating budget"	0.0402515
pinwheel	0.0400852
))
(CARSON (desc 10126.7) (sims
"El Segundo"	0.103295
Burbank	0.0994749
Inglewood	0.0941125
Roski	0.0860412
Ovitz	0.0844163
Compton	0.0836662
Torrance	0.0836481
Glendale	0.0828102
Encino	0.082172
"Sherman Oaks"	0.0764442
Pacoima	0.0748524
Pasadena	0.0745966
Coliseum	0.0722973
Hayward	0.0721457
Reseda	0.0694088
"Granada Hills"	0.0692949
"Eli Broad"	0.0686435
Tarzana	0.0679467
Hartford	0.0678454
Tempe	0.0668025
"Woodland Hills"	0.0648345
"Santa Clarita"	0.064369
LAKEWOOD	0.0642705
Lancaster	0.0636585
Chatsworth	0.0628679
Irvine	0.0622299
"San Pedro"	0.0618595
riverside	0.0618067
Hanford	0.0616471
"SIERRA BLANCA"	0.061221
Hess	0.0609617
Bakersfield	0.0603398
Carmichael	0.0601847
Kauffman	0.0597112
Basra	0.0595198
Foxborough	0.059457
Calabasas	0.059136
"San Mateo"	0.0590551
"Santa Clara"	0.0589957
Baird	0.0589167
Suwanee	0.0586901
"Van Nuys"	0.0574572
Palmdale	0.0567187
Shriver	0.0565727
"Long Beach"	0.0563443
Rivlin	0.0557553
Meissner	0.055141
Ackerman	0.0548767
Bridgewater	0.0547147
"Orange County"	0.0546817
Troy	0.0545854
Grasso	0.0545364
Ziegler	0.0544622
Hartman	0.0544473
Stockbridge	0.0530893
"Hollywood Park"	0.0529287
Deerfield	0.0528705
Lawrence	0.0527703
Duluth	0.052717
Molinari	0.052624
Quincy	0.0523354
Fiorina	0.0523113
"Overland Park"	0.0522357
Briscoe	0.0521866
Smyrna	0.0518225
Farrakhan	0.0517787
Quintana	0.0516407
"Silver Spring"	0.051627
Stockton	0.0515774
Zuckerman	0.0513208
Livermore	0.0512321
Gilbert	0.0511677
McCaw	0.0511443
Sharma	0.0508562
krueger	0.0508274
Newark	0.0508137
Tacoma	0.0506944
"Redwood City"	0.0506244
Irving	0.0505009
Redmond	0.0503099
"Cobb County"	0.0500407
USTA	0.0500091
Albany	0.0499193
Steiner	0.0497039
Fremont	0.049425
Devine	0.0494228
"San Fernando"	0.0494165
Houghton	0.0493266
Flagstaff	0.0492015
Wayne	0.0491486
BNFL	0.0490904
Monterey	0.0489727
Moore	0.048935
Conyers	0.048847
Slatkin	0.0488397
Arbour	0.0487456
Richardson	0.0487389
Marietta	0.048707
Fontana	0.0483381
Lucas	0.0482563
Shapiro	0.04807
Zagat	0.0478638
Nago	0.047834
Cline	0.047803
Kraus	0.0477551
Kennelly	0.0477484
Paterson	0.0476729
Ashrawi	0.0476138
McDaniel	0.0475316
Birmingham	0.0473231
Dunham	0.0473028
Lowey	0.0472844
"Studio City"	0.0472786
Pennington	0.0472681
McDonnell	0.0472532
Eureka	0.0471452
Burlington	0.0471303
Jaffe	0.0470834
Foley	0.0468791
Dixon	0.0468772
"Westlake Village"	0.0468584
Cupertino	0.0468203
Lowry	0.0467859
Greenville	0.046776
Shipley	0.0467315
"Coney Island"	0.0467274
Lansing	0.046723
HELLER	0.0467183
"Vero Beach"	0.0467018
Madison	0.046645
Greenfield	0.0465894
"North Hollywood"	0.0465818
Clayton	0.0465075
"Manhattan Beach"	0.0464643
"Santa Clara County"	0.0464561
Betts	0.04645
"Staten Island"	0.0463891
Bethesda	0.0463428
Foxboro	0.0463344
Hartley	0.0462919
Berkeley	0.0462654
"San Fernando Valley"	0.0461253
Farber	0.046123
Ferraro	0.0460839
"South Boston"	0.0460531
franklin	0.0460049
"Walnut Creek"	0.0459282
Kern	0.0459072
Wilmington	0.0458099
"St. Paul"	0.0457643
"Del Mar"	0.0457303
"Santa Anita"	0.0456744
Najaf	0.0456486
"Van Raaphorst"	0.0456385
Doyle	0.0455936
"San Rafael"	0.0455763
Raleigh	0.0455456
Davie	0.0454693
Eaton	0.0454343
Fasano	0.0453977
Peoria	0.0453932
Marineau	0.0453607
"Menlo Park"	0.0453129
Weiner	0.0452959
"Boca Raton"	0.0451646
"Santa Cruz"	0.0451072
Drexler	0.045103
Taft	0.0450971
Henning	0.0449618
"Mountain View"	0.0449514
"Santa Monica"	0.0449214
"U.S. Defense Department"	0.0447951
Friedman	0.0447758
Hagelin	0.0447495
"talent agent"	0.0446564
Bradford	0.0445989
"Thousand Oaks"	0.0445314
Patten	0.0445186
Kelso	0.0445059
Cramer	0.0444705
Bassett	0.0444435
Tampa	0.0444295
Northridge	0.0443994
"La Jolla"	0.044361
Westwood	0.0442821
burrows	0.0441341
Downey	0.0440717
Snyder	0.0440492
Lurie	0.0440486
Sheedy	0.0440113
Scottsdale	0.043978
Weil	0.0439636
Hutchison	0.0439521
Fresno	0.0438891
"West Hollywood"	0.0438624
Arron	0.043791
Pruett	0.0437107
Caddell	0.0437067
Mathews	0.0435999
"Palo Alto"	0.0435666
))
("Carson Palmer" (desc 3557.03) (sims
"John Fox"	0.202669
"Sultan McCullough"	0.193026
"Bobby Newcombe"	0.180399
"Mike Van Raaphorst"	0.173916
"Ryan Kealy"	0.169752
"Quincy Carter"	0.167926
"Kareem Kelly"	0.167622
"Ryan McCann"	0.166614
"DeShaun Foster"	0.164496
"Todd Husak"	0.164081
"Chad Morton"	0.161628
"Damon Huard"	0.159904
"Brandon Granville"	0.155789
"Doug Pederson"	0.1556
"Marcell Allmond"	0.151937
"Drew Bennett"	0.148702
"Marcus Outzen"	0.147699
"Major Applewhite"	0.144242
"Cory Paus"	0.143038
"Windrell Hayes"	0.140895
"Rob Johnson"	0.138882
"Jarious Jackson"	0.138398
"Chris Simms"	0.136796
"Sam Clancy"	0.133392
Hasselbeck	0.129232
"Trent Green"	0.128774
"Charlie Batch"	0.127108
"Drew Henson"	0.123813
"Tony Banks"	0.123521
"Jarvis Turner"	0.122615
"R. Jay Soward"	0.121456
"Chris Weinke"	0.120898
Weinke	0.120296
Griese	0.119418
"Jeff Trepagnier"	0.119341
"Ken Kocher"	0.117832
"Dave Brown"	0.117765
Palmer	0.116076
"Van Raaphorst"	0.114957
"Rich Gannon"	0.114347
Aikman	0.113928
"Rodney Peete"	0.113379
Paus	0.111496
"Troy Aikman"	0.111411
"Erik Kramer"	0.110715
"Chris Claiborne"	0.109751
"Cade McNown"	0.109744
"Michael Vick"	0.109693
"Freddie Mitchell"	0.10938
"Tony Graziani"	0.109334
McCown	0.108139
"Tee Martin"	0.107474
"Brian Griese"	0.106756
Brunell	0.104061
"Jon Kitna"	0.104035
"Kent Graham"	0.103766
"Gus Frerotte"	0.102964
"Steve Beuerlein"	0.102926
"Jeff George"	0.101951
"Trent Dilfer"	0.101676
"Jeff Garcia"	0.101241
"Chris Chandler"	0.100789
Lafleur	0.100644
Kitna	0.0995373
"Kerry Collins"	0.0991382
"Jermaine Lewis"	0.0990463
"Mark Brunell"	0.0986971
"Brian Scalabrine"	0.0983156
"Brad Johnson"	0.0976362
"Glenn Foley"	0.0974448
Applewhite	0.0973297
"Dan Gadzuric"	0.0971716
"Vinny Testaverde"	0.0966344
"Jake Plummer"	0.0937055
Plummer	0.0918167
"Kordell Stewart"	0.0916934
"Jeff Blake"	0.0911465
"Jim Harbaugh"	0.090984
"Scott Zolak"	0.0908029
Kanell	0.0903047
Kealy	0.0902219
"Jamal Lewis"	0.0900348
"Jim Druckenmiller"	0.0896704
"Eric Zeier"	0.0893835
"Elvis Grbac"	0.0885523
"Doug Johnson"	0.0878233
"Bubby Brister"	0.0876205
Boller	0.0872724
"Danny Kanell"	0.0868145
Mirer	0.0867732
Sehorn	0.0865261
Perisho	0.0864018
Dilfer	0.086036
"Peyton Manning"	0.0859127
"Bobby Hoying"	0.0854727
"Ty Detmer"	0.0854058
"Shaun King"	0.0852574
Andreychuk	0.0850068
"Ray Lucas"	0.0849988
"Tom Brady"	0.0847347
Bledsoe	0.0847062
"Erick Barkley"	0.0846353
"Richard Jefferson"	0.0842826
"Keith Brown"	0.0835764
"Danny Wuerffel"	0.081792
"Neil O'Donnell"	0.081698
"Steve DeBerg"	0.0816898
"Doug Flutie"	0.0812936
Huard	0.0811847
"Kurt Warner"	0.0810246
Grbac	0.0809175
Toombs	0.0806904
"Keith Smith"	0.0806883
"JOHN FRIESZ"	0.080276
Burba	0.0794845
"Warren Moon"	0.0794425
McNown	0.077581
"Brett Favre"	0.0774355
Fiset	0.0774127
"Ryan Bailey"	0.0773133
"Dan Marino"	0.0772714
"Drew Brees"	0.077107
"Steve McNair"	0.0765529
Tupa	0.0760276
"Akili Smith"	0.0755883
"Tim Couch"	0.0755065
Flutie	0.0754861
"Paul Justin"	0.0753006
"Randall Cunningham"	0.0752082
"Phil Simms"	0.0746058
Manning	0.0745881
"Jim Parque"	0.074572
"Jason Garrett"	0.0738509
"Stephane Fiset"	0.073708
"Scott Mitchell"	0.0733274
Favre	0.0733254
Bergkamp	0.0731428
"Russ Ortiz"	0.0729754
"Chris Osgood"	0.071809
"Brock Huard"	0.0717097
Elway	0.0715707
Testaverde	0.071541
flanker	0.0707552
Chandler	0.0706304
"Ryan Leaf"	0.0705141
tailback	0.0702673
"Ronnie Bradford"	0.069991
Harbaugh	0.0693671
"Michael Bishop"	0.0692654
"Ortege Jenkins"	0.0691803
"Michael Wright"	0.0690992
DeBerg	0.0689934
"Ray Young"	0.0689647
"Drew Bledsoe"	0.0689586
Gadzuric	0.0688303
Borbon	0.0688298
"Rick Mirer"	0.0686243
"Steve Young"	0.0677211
Marinovich	0.0677104
"Marques Anderson"	0.0675464
"Jack McDowell"	0.0672943
crouch	0.0672917
"Jesse Orosco"	0.0669356
Marino	0.0662703
Meche	0.0662268
"Gary Brown"	0.0661793
Schoeneweis	0.0660594
"Donovan McNabb"	0.0660214
"Lester Archambeau"	0.0658529
Alicea	0.0653675
Vick	0.0651773
"Everett McIver"	0.065152
Polgar	0.0648765
"Mike Miller"	0.0647387
"Joe Hamilton"	0.0645476
"Daunte Culpepper"	0.0641734
Bodine	0.064155
"John Elway"	0.0641222
Garrett	0.0636979
"Kevin Mathis"	0.0633553
"Chad Pennington"	0.0631059
"Angelo Peruzzi"	0.0629715
Turgeon	0.0629456
DeShields	0.0627518
"Gary DiSarcina"	0.0627256
"Emmitt Smith"	0.0626978
Kidd	0.0625557
McCann	0.0625482
"Danny Farmer"	0.0621813
Brees	0.0621368
Fizer	0.0620853
Dorsey	0.0617196
"Matt Barnes"	0.0617138
"Mark Gardner"	0.0616999
"Kent Mercker"	0.0615965
Fiedler	0.0613693
Dayne	0.0611281
"Travis Hall"	0.0610712
Graziani	0.0610471
"Paul Abbott"	0.0610073
))
(cart (desc 45320.9) (sims
"Championship Auto Racing Teams"	0.12608
wagon	0.117342
truck	0.11087
IRL	0.110154
trolley	0.106776
"Winston Cup"	0.10585
"golf cart"	0.101736
van	0.099277
car	0.0973218
"Indy Racing League"	0.0972345
tractor	0.0965359
bicycle	0.0945971
NASCAR	0.0936916
trailer	0.0932675
Motorcycle	0.0924077
carriage	0.0912519
scooter	0.0910779
bus	0.089901
bike	0.0892666
taxi	0.0886977
sled	0.0873225
jeep	0.0867171
boat	0.086242
"Busch Grand National"	0.0846868
"school bus"	0.0846733
"pickup truck"	0.0845961
"tractor trailer"	0.0839741
Buggy	0.0838117
"shopping cart"	0.0830284
tricycle	0.0825854
limousine	0.0819601
pickup	0.0810849
rickshaw	0.0800956
hearse	0.0800843
vehicle	0.0786841
motorbike	0.0783164
NHRA	0.0760638
"NASCAR Winston Cup"	0.0757741
Busch	0.0747565
wheelchair	0.0741137
cab	0.0730254
canoe	0.0711308
sleigh	0.0711158
minivan	0.0710453
Ambulance	0.0706627
suitcase	0.0705306
"Indy @@@"	0.0702893
container	0.0699555
tray	0.0690842
"Top Fuel"	0.068123
Sedan	0.0675859
"stock car"	0.0675364
bag	0.0673348
box	0.065603
"mountain bike"	0.0654898
crate	0.0649517
train	0.0647454
"dump truck"	0.0641194
"lawn mower"	0.0640822
Bin	0.0632823
Mercedes	0.0621889
barge	0.0617122
chair	0.0614037
rig	0.0613899
Limo	0.0611797
stroller	0.0610006
Stretcher	0.0607397
driver	0.0606118
table	0.0604403
tank	0.0596545
"race car"	0.0592085
Tram	0.0586231
Racing	0.058002
"sports car"	0.0580006
"station wagon"	0.0576565
stalls	0.0574663
shelf	0.0574635
kayak	0.0572886
machine	0.0569488
airplane	0.0568461
cup	0.0561249
"delivery truck"	0.0555832
tanker	0.055521
horse	0.0555041
cooler	0.0554588
SUV	0.0554202
rack	0.0553596
"police car"	0.0548768
"patrol car"	0.0547777
refrigerator	0.0547443
"car seat"	0.0541739
automobile	0.0538786
"personnel carrier"	0.0528409
lorry	0.0524251
booth	0.0524069
Indy	0.0523447
helicopter	0.0521527
garage	0.0520265
snowmobile	0.0519932
raft	0.0518829
plane	0.0518529
tent	0.0514855
Cruiser	0.0510677
minibus	0.0509075
trunk	0.0504207
pot	0.0500045
shop	0.0499581
bed	0.0497064
sack	0.0496591
"Ford Taurus"	0.0495689
mower	0.0491495
plate	0.0490963
bucket	0.0490787
stool	0.0490234
cupboard	0.0489745
chariot	0.0489014
tire	0.0488577
luggage	0.048723
Warehouse	0.0486993
coffin	0.0482824
platter	0.0481996
convertible	0.0481086
"folding chair"	0.0479519
helmet	0.0476557
harvester	0.0474284
cage	0.0471613
caravan	0.0470883
kiosk	0.0469888
furniture	0.0469505
"fire engine"	0.0468389
toy	0.0467999
"freight train"	0.0467479
yacht	0.0466877
donkey	0.0464938
F@	0.046305
"motor vehicle"	0.0461261
mule	0.0461129
drawer	0.0460921
"garbage can"	0.0460513
bottle	0.045991
vendor	0.0458965
Cadillac	0.0457809
sailboat	0.0456847
craft	0.045677
camel	0.0455993
SUVs	0.0455904
motorcade	0.0454519
dish	0.0454348
basket	0.0452809
barn	0.045218
locker	0.0451952
Chevrolet	0.0451201
wheel	0.0450421
toilet	0.0449904
NBA	0.0448474
jar	0.0447915
LPGA	0.0446206
elevator	0.0445995
cubicle	0.0445773
laptop	0.0444954
WNBA	0.044469
bench	0.0443593
tub	0.0443056
"sewing machine"	0.0441373
circuit	0.0440504
equipment	0.0440451
"parking lot"	0.0439162
"fire truck"	0.0439069
backpack	0.043832
"PGA Tour"	0.043825
"trash can"	0.0437361
briefcase	0.0434615
freezer	0.0434349
Honda	0.0434158
racer	0.0433903
Pony	0.0432359
Ferrari	0.0432033
ski	0.0431837
carton	0.0429224
sprint	0.0428135
pedestrian	0.0427932
bowl	0.0427535
Skating	0.0427199
league	0.0427172
shoe	0.0425982
closet	0.0425695
bathtub	0.042452
stove	0.0423956
"cross country"	0.0423385
ml	0.0423045
speedway	0.0422757
NCAA	0.0421122
pit	0.0420789
"vending machine"	0.0420719
grill	0.0419524
PGA	0.0419002
jet	0.0418939
appliance	0.0417294
"military vehicle"	0.0417238
marathon	0.0417158
))
(Cartagena (desc 4297.35) (sims
Durban	0.164112
Aqaba	0.158993
Vientiane	0.154473
Cebu	0.154304
CARACAS	0.15071
Windhoek	0.147182
Rabat	0.142329
Larnaca	0.140425
"Egyptian capital"	0.137027
Murmansk	0.136454
Alma-Ata	0.135186
Istanbul	0.132315
Durres	0.1319
Luanda	0.131373
Medellin	0.131349
Subic	0.131154
Algiers	0.131055
Antalya	0.130595
Salzburg	0.129977
Maseru	0.127757
Kuching	0.127509
Gaborone	0.125855
Phuket	0.125761
Helsinki	0.125683
Nago	0.124675
BUCHAREST	0.124445
MAPUTO	0.124101
Sirte	0.12402
Cochabamba	0.123857
Dushanbe	0.123674
Beira	0.123331
Mombasa	0.122821
"Santo Domingo"	0.122801
Jeddah	0.122749
Sevastopol	0.121392
BLANTYRE	0.121113
Guayaquil	0.12107
Ramallah	0.120486
Santiago	0.120258
Davos	0.119605
Doha	0.119147
Merida	0.119097
Riyadh	0.118746
Tripoli	0.118591
Haifa	0.118545
Eilat	0.118362
"Malaysian capital"	0.118132
Havana	0.118105
Davao	0.115863
Muscat	0.115536
KIEV	0.115359
"CHIANG MAI"	0.114999
Quito	0.113703
Geneva	0.113411
Mbabane	0.112579
Managua	0.112543
Alexandria	0.112471
"Abu Dhabi"	0.112379
BRUSSELS	0.112359
Thessaloniki	0.112114
Lubumbashi	0.112011
"Nigerian capital"	0.111799
Lusaka	0.111643
BOGOTA	0.111633
TEGUCIGALPA	0.111572
Astana	0.111463
PALERMO	0.111232
"Quebec City"	0.111176
"Guatemala City"	0.111135
Prague	0.110951
BRASILIA	0.110205
Abuja	0.110102
Ashkhabad	0.110085
"Addis Ababa"	0.109918
Auckland	0.10974
Yaounde	0.109503
Acapulco	0.109258
Izmir	0.109075
KAMPALA	0.109059
Arusha	0.108708
"San Salvador"	0.108706
Lome	0.108655
Cologne	0.108404
Kandy	0.108393
Damascus	0.108302
"ALMA ATA"	0.108101
el-Sheikh	0.108101
BUDAPEST	0.108071
Christchurch	0.107426
"Cape Town"	0.107235
MONTEVIDEO	0.107189
Ndola	0.107167
Malaga	0.107137
Karachi	0.107098
Pusan	0.107067
CANCUN	0.106989
HARARE	0.10687
LISBON	0.106811
"La Paz"	0.106696
Gdansk	0.106628
Cardiff	0.106049
Cali	0.105834
"San Pedro Sula"	0.105574
CAIRO	0.105569
Ouagadougou	0.105475
PYONGYANG	0.105384
Kigali	0.105235
WARSAW	0.105082
Ensenada	0.105078
Weimar	0.105049
Taba	0.104842
Hyderabad	0.104741
"Kuala Lumpur"	0.104646
Almaty	0.104592
Vilnius	0.10443
Minsk	0.104322
Krasnoyarsk	0.104204
Madrid	0.10396
Amman	0.103714
Bamako	0.103657
Bishkek	0.103546
Tehran	0.103381
Sarajevo	0.103339
TUNIS	0.103289
Manila	0.102936
Accra	0.102539
Khartoum	0.102047
STOCKHOLM	0.101876
Tbilisi	0.101864
"Algerian capital"	0.101862
Peshawar	0.101792
Harbin	0.101247
Libreville	0.101206
Yantai	0.101187
Bangalore	0.100666
Kismayu	0.100536
MANAMA	0.10047
Kyoto	0.100432
Chisinau	0.0999753
HANOI	0.0994438
Bonn	0.0994342
Tashkent	0.0993963
SANAA	0.0993283
Okinawa	0.0990127
Vienna	0.0990058
Ljubljana	0.0989491
Kandahar	0.0988504
"Victoria Falls"	0.0983941
"Rio de Janeiro"	0.0982005
Sihanoukville	0.0980883
Lianyungang	0.0980472
Trieste	0.0975317
Langkawi	0.0974856
Nairobi	0.0972942
Florence	0.0972576
Manado	0.0972363
Copenhagen	0.0971049
Matadi	0.0968788
Oslo	0.0968698
Baotou	0.0967967
Bulawayo	0.0966433
"Mexico City"	0.096579
Quanzhou	0.0964525
ZAGREB	0.0964428
Vladivostok	0.096277
Nagoya	0.096241
COLOMBO	0.0961947
Atambua	0.0961535
Belfast	0.0961396
Duesseldorf	0.0960359
Pretoria	0.0960203
Strasbourg	0.0958487
Edinburgh	0.0957952
Chennai	0.0954584
NICOSIA	0.0949252
Lahore	0.0948475
Abidjan	0.0946616
Kitwe	0.0945479
SOFIA	0.0942712
"St. Petersburg"	0.0942193
"Phnom Penh"	0.0941734
Inchon	0.0940405
Berlin	0.0938122
"Sao Paulo"	0.0937007
BRATISLAVA	0.0936738
Islamabad	0.0934917
Dublin	0.0932527
"Siem Reap"	0.0932368
"Tel Aviv"	0.0932121
Klagenfurt	0.0930806
PATNA	0.0926894
"Subic Bay"	0.0926278
Jakarta	0.0921184
Perth	0.0919815
Sochi	0.0916558
"Ho Chi Minh City"	0.0914133
Kaduna	0.0913722
SEOUL	0.0912051
Seville	0.0911285
Shepherdstown	0.0910828
))
("carte blanche" (desc 1841.35) (sims
"free rein"	0.152599
"power of attorney"	0.109046
"all clear"	0.106296
"blank check"	0.103057
Leeway	0.0943043
fillip	0.0915771
"breathing space"	0.0889537
dispensation	0.087658
"stay of execution"	0.0858618
wherewithal	0.0825839
"bill of health"	0.0701879
"short shrift"	0.0697233
"breathing room"	0.0673086
"work permit"	0.066811
"clean slate"	0.0653914
"line item"	0.0629423
"elbow room"	0.0624499
nonentity	0.0618616
facelift	0.0614204
"one penny"	0.0613776
"goose bumps"	0.061367
oomph	0.0594189
"green light"	0.0579838
adoptees	0.0566526
credence	0.0565134
"legal status"	0.0558124
"legal right"	0.0552616
"cold shoulder"	0.055138
Bezos	0.0549365
"eminent domain"	0.0547986
"permanent normal trade relations"	0.0547613
"Lara Croft"	0.0543218
"fishing license"	0.0542519
"time off"	0.0539649
send-off	0.0534957
"birthday present"	0.0532882
gall	0.0531525
"one million US dollars"	0.053081
fast-track	0.0529115
"seal of approval"	0.0528313
"a few million dollars"	0.0525782
"secret plan"	0.0524982
"one million dollars"	0.0512374
latitude	0.0508782
unreality	0.0499341
"inside track"	0.0497412
easiest	0.0494762
"BellSouth Corp."	0.0494609
NTR	0.0494421
"right of way"	0.0492937
Gilead	0.0492729
"inside information"	0.0488422
self-rule	0.0484535
IOU	0.0484344
"Mike Barnicle"	0.0482941
lovefest	0.0482602
"face lift"	0.0481629
makeovers	0.0477077
"moral obligation"	0.0474416
high-fives	0.0473545
smooch	0.0471338
heartening	0.0471028
Barrasso	0.0470189
sandbox	0.0470189
cakewalk	0.0470149
"road map"	0.0468182
walkover	0.0467942
heartburn	0.0467908
BNFL	0.0464727
"warning signal"	0.0464336
sendoff	0.0461659
"set point"	0.0460651
"almost $@@@ million"	0.0456444
imprimatur	0.0455883
Greater	0.0454791
"second thought"	0.0451271
"time machine"	0.045109
"summary judgment"	0.0450851
"right to vote"	0.0449903
goosebumps	0.0447602
make-over	0.0446489
"extra time"	0.0443928
"home rule"	0.0443916
"two million yuan"	0.0441944
"first aid"	0.0440191
"magnifying glass"	0.0440116
"pop quiz"	0.043918
"kick start"	0.0439163
inkling	0.0439086
"human face"	0.043647
go-ahead	0.0435374
"positive feedback"	0.0434264
absolution	0.0434009
guidepost	0.0431519
refusals	0.0429063
aversion	0.042806
"speeding ticket"	0.042755
thumbs-up	0.0427205
Rylander	0.0425767
"Chevron Corp."	0.0424189
"name and address"	0.0422821
"good weather"	0.0420734
continuance	0.0419812
"Mario Lemieux"	0.0417517
clemency	0.0414665
Rodrigo	0.0414289
Roadrunner	0.0413903
"marriage license"	0.0413269
Genzyme	0.0412981
"three match points"	0.0411358
Taleban	0.0410782
"British government"	0.0409761
"security clearance"	0.0409263
"trading post"	0.0408707
plurality	0.0406556
"Christmas present"	0.0405379
self-government	0.0404467
leniency	0.0404177
"Ethics Commission"	0.0403663
darkroom	0.0403148
"sneak preview"	0.0401491
Generali	0.0401439
Lowdown	0.0401165
FSB	0.0400877
Willard	0.0400267
))
(cartel (desc 27064) (sims
"drug trafficker"	0.154095
trafficker	0.149131
Mafia	0.142605
gang	0.140375
syndicate	0.138855
"drug lord"	0.123377
OPEC	0.118277
"organized crime"	0.114227
"drug trade"	0.100676
smuggler	0.0991407
"Organization of Petroleum Exporting Countries"	0.086498
kingpin	0.0859463
guerrilla	0.0857641
organization	0.0844157
terrorist	0.0820479
"drug dealer"	0.0804948
"drug trafficking"	0.0794067
Cali	0.0787067
"political action committee"	0.0777508
corporation	0.0756412
extremist	0.074963
mob	0.0733262
ETA	0.0727024
Hamas	0.0711115
ring	0.0708877
underworld	0.0698097
militia	0.069502
"labor union"	0.06884
rebel	0.068532
criminal	0.0684824
smuggling	0.068476
Laden	0.0682997
paramilitary	0.0680401
cult	0.0669039
separatist	0.0644376
cooperative	0.0643837
militant	0.0639519
Hezbollah	0.0637413
bloc	0.0632895
"political party"	0.0631967
"secret police"	0.0630862
Medellin	0.062953
faction	0.0629297
"Armed Islamic Group"	0.0627003
conglomerate	0.0626935
"Kosovo Liberation Army"	0.0622496
"Khmer Rouge"	0.0620288
army	0.0620172
"central bank"	0.0619645
"mining company"	0.061962
gangster	0.0619446
trafficking	0.0615753
NRA	0.0610727
union	0.0610335
military	0.0609272
"oil producer"	0.0604269
CIA	0.06024
Alliance	0.0598792
agency	0.0598003
"federal government"	0.0595272
"Irish Republican Army"	0.0594515
movement	0.0591899
consortium	0.0590977
"Communist Party"	0.0590896
"tobacco industry"	0.0589154
clan	0.058787
KLA	0.0586927
"insurance company"	0.0584494
PRI	0.0583639
"money laundering"	0.058075
PAC	0.05788
dealer	0.0578639
mobster	0.0576507
airline	0.0573194
charity	0.0572539
monopoly	0.0570256
"financial institution"	0.0568148
"Ku Klux Klan"	0.056568
oligarch	0.0565402
sect	0.0564939
multinationals	0.0562457
PKK	0.056078
tribe	0.0558745
narcotic	0.0556326
federation	0.0555419
Microsoft	0.0550203
manufacturer	0.0549607
drug	0.0548467
regime	0.0547684
association	0.0546413
Coalition	0.0546375
conspiracy	0.0543497
grouping	0.0543265
empire	0.0542911
boss	0.0542805
"armed forces"	0.0542591
"Caribbean Community"	0.054072
"security force"	0.05398
"oil industry"	0.0539494
Klan	0.0539329
price-fixing	0.0538566
institution	0.0538119
"task force"	0.053729
"phone company"	0.0537194
"Iraqi National Congress"	0.0536609
individual	0.0536187
"police force"	0.0535988
"European Central Bank"	0.0534924
"National Liberation Army"	0.0534246
businessmen	0.0534086
"local government"	0.0530517
insurgent	0.0529746
producer	0.0529091
"pension fund"	0.0528121
"Roman Catholic Church"	0.0525089
"opposition party"	0.0523495
exporter	0.0523194
IOC	0.0522203
insurgency	0.0522042
scheme	0.0519944
Council	0.051809
"military unit"	0.0517613
LRA	0.0516796
"trade union"	0.0515031
junta	0.0514333
baron	0.0512892
enterprise	0.0512527
"Democratic Party"	0.0512168
bandit	0.0511497
warlord	0.0508866
insurer	0.0507074
IRA	0.0506153
corruption	0.0505895
"National Rifle Association"	0.0505623
grower	0.0505363
triad	0.0504946
entity	0.0504793
supplier	0.050363
crime	0.0501815
lender	0.0500989
OSCE	0.0500121
foundation	0.0500005
"Institutional Revolutionary Party"	0.049995
terrorism	0.0499948
"Russian Orthodox Church"	0.0498786
"Islamic Jihad"	0.049805
"Revolutionary Armed Forces"	0.0497405
automakers	0.0497195
ELN	0.0496719
"holding company"	0.0496458
oligarchy	0.0496367
wholesaler	0.0496048
"trucking company"	0.0494165
"labor movement"	0.0493345
FARC	0.0492433
"Liberation Tigers"	0.0491167
society	0.0490555
"international organization"	0.0489395
ANC	0.0488164
contractor	0.0487306
"Catholic Church"	0.0486106
"business community"	0.0485483
"Real IRA"	0.0485153
organisation	0.048361
Gazprom	0.0483552
importer	0.0483286
kidnapper	0.0483217
"Liberal Party"	0.0480942
"popular front"	0.0480906
LDP	0.0479334
scam	0.0477736
"Congress Party"	0.0477464
IMF	0.0477288
"Amnesty International"	0.0477143
Communist	0.0476996
racket	0.0476686
"shipping company"	0.0476155
"savings and loan"	0.0475084
railroad	0.047477
HMO	0.0473994
"police department"	0.0473335
UNITA	0.0473253
chaebol	0.0471116
squad	0.0470019
"military force"	0.0469955
distributor	0.0469743
employer	0.0468935
cocaine	0.0467333
"Republican Party"	0.0467273
"African National Congress"	0.0467162
"crime wave"	0.046675
mujahedeen	0.0465122
LTTE	0.0464915
denomination	0.0464081
utility	0.0462289
Interpol	0.0461827
carrier	0.0461611
foundations	0.0461429
hacker	0.0461084
NATO	0.0459734
))
(Carter (desc 44954.1) (sims
Johnson	0.11496
smith	0.107171
Robinson	0.106875
Taylor	0.106286
Davis	0.105423
Williams	0.104086
Kennedy	0.100987
Wilson	0.1007
Jackson	0.0998246
Jones	0.0983322
Thomas	0.0980665
duncan	0.0976324
Anderson	0.0968897
Reagan	0.0963209
Nixon	0.0953763
Miller	0.0918518
fisher	0.0914924
Wallace	0.0909056
Stewart	0.0898291
Cunningham	0.0896185
Clinton	0.0886431
Bush	0.088429
Sanders	0.088355
Bryant	0.0881503
martin	0.0878804
"Jimmy Carter"	0.0870885
walker	0.0869485
Malone	0.086412
Evans	0.0854331
Armstrong	0.0852228
Moore	0.0849982
Edwards	0.0843808
Brown	0.0842677
Lewis	0.0840938
Mandela	0.0838236
Sprewell	0.0835119
Owens	0.0834505
Richardson	0.082954
Garnett	0.0828684
Giuliani	0.0828468
Graham	0.0827105
Clark	0.0827025
Mitchell	0.0824006
murphy	0.0823531
Thompson	0.0822054
gore	0.0820681
O'Neal	0.0820483
Putin	0.0819356
Morris	0.0816806
Bradley	0.081148
Levin	0.0810032
DOLE	0.0809713
Harris	0.0804774
Webber	0.0803512
he	0.0803276
Gonzalez	0.0802676
Welch	0.080139
Blair	0.0799856
McCain	0.0799524
Yeltsin	0.0794986
Wright	0.0793076
Garcia	0.0793044
Murray	0.0792079
Pippen	0.079153
Rogers	0.0789959
Lee	0.0788482
Peterson	0.078621
Watson	0.0785787
Ferguson	0.0785123
Kim	0.0784955
Gretzky	0.0783427
Brooks	0.0782961
Hamilton	0.0781814
Payton	0.0779682
Rodriguez	0.0778264
Cohen	0.0775813
Aikman	0.0774482
James	0.0774028
Palmer	0.0772528
Sheppard	0.0771989
Iverson	0.0770094
Moss	0.0766566
Barkley	0.0764983
Lieberman	0.0764408
MARBURY	0.0762938
ALLISON	0.0762012
Barnes	0.0760893
Cheney	0.0757158
"Cris Carter"	0.075593
Allen	0.0748942
Scott	0.0748521
"George Bush"	0.0748048
Adams	0.0747798
Bennett	0.074689
Ewing	0.0745125
collins	0.0744756
Bourque	0.0742295
Powell	0.0741001
Odom	0.0739603
Roberts	0.0737325
Chandler	0.0736192
Dukakis	0.073261
Mason	0.0732363
Gibson	0.0732047
Elliott	0.0727765
Blake	0.0727444
Nelson	0.0726022
Baker	0.0723628
Patterson	0.0723093
McDaniel	0.0722616
Wang	0.0722251
Daley	0.0722237
Riley	0.072031
Irwin	0.0719878
Carroll	0.071922
Campbell	0.0716137
Berger	0.0715831
she	0.0715496
Elway	0.071413
Stevens	0.071293
Coleman	0.0712563
Manning	0.0712293
Buchanan	0.071107
Chamberlain	0.0708852
Phillips	0.0708302
"Ronald Reagan"	0.0706496
Bledsoe	0.0705604
Kelly	0.0704792
Glenn	0.0704527
Flutie	0.0704075
Zedillo	0.0703732
Gingrich	0.0703685
hogan	0.0702325
George	0.0701901
Francis	0.0701247
McGwire	0.0699691
Fernandez	0.0698664
xu	0.0698173
Mann	0.0697954
Schroeder	0.0697119
"Randy Moss"	0.0695833
Holdsclaw	0.0695177
Hughes	0.0693159
Weizman	0.0691996
Jenkins	0.0691278
Chavez	0.0691258
Foley	0.0690767
turner	0.0690573
Carr	0.0690096
Warner	0.0689309
Richards	0.0688243
Gomez	0.0688002
Finley	0.0687651
McNown	0.0687594
Holmes	0.0687036
Obuchi	0.0686934
Taft	0.0686797
Schwartz	0.0686621
Burke	0.068626
Moreno	0.0685795
bailey	0.0684569
Castro	0.0684497
Perez	0.0684479
DiMaggio	0.0684457
Albright	0.0684396
Kidd	0.068433
Rosenberg	0.0683986
Greene	0.0683825
Mbeki	0.0683342
Steele	0.0683131
Chen	0.0683019
"Kobe Bryant"	0.0682927
McDonald	0.0682917
O'Donnell	0.0681518
Lopez	0.0681404
Truman	0.0680863
Russell	0.0677862
marshall	0.0677428
Parker	0.06774
Henderson	0.0676639
Robertson	0.0676502
Cole	0.0676421
Ferraro	0.0675393
Duval	0.0674967
Quayle	0.067396
Ramos	0.0672596
Tripp	0.0672526
Torre	0.0672248
Foster	0.0672238
Ellis	0.0671114
Jordan	0.0670621
Rubin	0.0669895
Burns	0.0669867
Plummer	0.0669729
perry	0.0669616
hull	0.0668379
Schmidt	0.0668045
Friedman	0.0667983
king	0.0667365
John	0.0666399
))
("Carter Center" (desc 4811.73) (sims
"Organization of American States"	0.113638
"Amnesty International"	0.106399
CMAG	0.10247
"Anti-Defamation League"	0.0993728
CDC	0.0965719
"International Red Cross"	0.0923436
"Human Rights Watch"	0.0918513
IAEA	0.0918506
"U.S. Immigration and Naturalization Service"	0.0890197
FSA	0.0883539
"Council of Europe"	0.0871571
"Health and Human Services Department"	0.0835232
"Federal Emergency Management Agency"	0.0835039
OAS	0.0833948
"Center for Democracy"	0.0832315
"Congressional Black Caucus"	0.0831806
"Cuban American National Foundation"	0.0818896
"Board of Elections"	0.0818254
UNICEF	0.0817052
"National Republican Congressional Committee"	0.0816753
IDB	0.0802555
"Department of Corrections"	0.0801046
"International Atomic Energy Agency"	0.0789269
OSCE	0.0785877
"National Transportation Safety Board"	0.0777963
FAO	0.0776121
"U.S. State Department"	0.0773111
USAID	0.0772614
"Department of Public Safety"	0.0756601
"Russian Space Agency"	0.0747862
"Southeastern Legal Foundation"	0.0747673
"National Oceanic and Atmospheric Administration"	0.0746017
"Organization for Security and Cooperation in Europe"	0.0743338
"Audubon Society"	0.074291
NSC	0.0740773
UNDCP	0.0740699
"Human Rights Commission"	0.0736513
"Education Department"	0.0735379
"Defense Agency"	0.073507
"Federal Reserve Bank"	0.0729897
"U.S. Agriculture Department"	0.0723686
"National Council of Churches"	0.0722554
"International Committee"	0.0716249
IPU	0.0715356
"World Bank"	0.0714723
UNIDO	0.0713741
"National Federation"	0.0710356
"U.S. Geological Survey"	0.0710217
"Agriculture Ministry"	0.0707621
NTSB	0.0700205
"Russian Duma"	0.0699804
"National Marine Fisheries Service"	0.0698389
"World Food Program"	0.069754
"Smithsonian Institution"	0.0695647
"Department of Agriculture"	0.0695276
ILO	0.0693692
"Democratic National Committee"	0.0685333
"United Nations High Commission for Refugees"	0.0682895
"Texas Department of Public Safety"	0.0680507
"Israeli Foreign Ministry"	0.0680275
UNAMET	0.0675409
WFP	0.0673608
"Georgia State University"	0.0673178
"World Health Organization"	0.0672133
"Association of Flight Attendants"	0.0670863
ADL	0.0669877
"Democratic Senatorial Campaign Committee"	0.0669835
"Department of Commerce"	0.0669442
"think tank"	0.0665583
"Inter-American Development Bank"	0.0662406
"European Community"	0.0662237
"Department of Health and Human Services"	0.066165
"Sierra Club"	0.0658776
counterterrorism	0.0657287
"High Museum of Art"	0.0657011
"Department of Education"	0.0656641
"World Jewish Congress"	0.0656334
"U.N. World Food Program"	0.0654287
"Department of Transportation"	0.0654073
"U.S. Army Corps of Engineers"	0.0653658
"Office of Management and Budget"	0.0653253
"Securities Industry Association"	0.0652414
"Transportation Department"	0.0652319
"European Space Agency"	0.0651649
"Justice Ministry"	0.0650504
ICTR	0.0650336
"College Board"	0.0650242
"Air Transport Association"	0.0650223
"Agency for International Development"	0.0649876
"National Association"	0.0649676
TrustE	0.0649235
EC	0.0647891
CCC	0.0647871
AmCham	0.0645932
"international organization"	0.0644223
"International Federation"	0.0642921
"Consumer Federation"	0.0641785
"Consumers Union"	0.0641321
"League of Women Voters"	0.0639492
ADB	0.0636632
"Foreign Affairs Committee"	0.0636463
"MindSpring Enterprises"	0.0636048
"chamber of commerce"	0.0634982
"Atomic Energy Commission"	0.063394
IEA	0.0631619
"U.N. Development Program"	0.0631025
"United States government"	0.0630989
"U. N."	0.0629158
CAAC	0.0626416
"Ritz-Carlton Hotel"	0.0626211
"National Gambling Impact Study Commission"	0.0625238
"National Security Council"	0.0623674
"planning commission"	0.0623154
"Nuclear Regulatory Commission"	0.0622073
NRC	0.0620033
"American Cancer Society"	0.0616543
SBA	0.0616485
"Coca-Cola Enterprises"	0.0615196
"American Civil Liberties Union"	0.0614433
UNHCR	0.0612967
"American Association of Health Plans"	0.0612359
"Log Cabin Republicans"	0.0612269
"Handgun Control"	0.0611818
"Harvard University"	0.0610534
"Department of Environmental Protection"	0.0609631
"Museum of Contemporary Art"	0.0609359
"HBO &AMP; Co."	0.0608811
USOC	0.060581
Interpol	0.060509
MKO	0.0604756
AFL-CIO	0.0602872
HCFA	0.0602303
"Census Bureau"	0.0601524
"Department of Defense"	0.0601493
"Whitney Museum of American Art"	0.0601441
JMC	0.0600729
Wada	0.0600652
"National Cancer Institute"	0.0599552
"World Wildlife Fund"	0.0599223
"Rainbow/PUSH Coalition"	0.0597494
"Kosovo Verification Mission"	0.0597425
"French Foreign Ministry"	0.0597268
"Air Line Pilots Association"	0.0596053
"Home Depot"	0.0595596
"Defense Department"	0.0595032
"Johns Hopkins University"	0.0594976
"Health Care Financing Administration"	0.0594482
"United Nations Population Fund"	0.0594304
DEP	0.0594198
"Waldorf-Astoria Hotel"	0.0594069
"British High Commission"	0.0592903
"Food and Agriculture Organization"	0.0590793
"Public Security Ministry"	0.0589649
"Cato Institute"	0.0589035
"Carnegie Endowment"	0.0587515
"Kennedy School of Government"	0.0584612
UPU	0.0584083
UNFPA	0.0583873
"Fish and Wildlife Service"	0.0583798
"Ministry of Defense"	0.0583401
"American Lung Association"	0.0582981
"Union of Concerned Scientists"	0.0580675
"Environmental Protection Agency"	0.0580378
ACLU	0.0579483
"U.S. Soccer Federation"	0.0578375
PBOC	0.0578201
"Disease Control"	0.0578177
"Caribbean Community"	0.0577596
CAS	0.0576759
"Commission on Presidential Debates"	0.0576638
"Truth Commission"	0.0576374
"Commonwealth Ministerial Action Group"	0.0576252
"Ethics Commission"	0.0575599
"National Institutes of Health"	0.0575436
USDA	0.0575251
"Port Authority of New York"	0.0573821
SEPA	0.0573453
"Human Rights Campaign"	0.057285
Livermore	0.0572691
"Energy Department"	0.0572132
"Democratic Congressional Campaign Committee"	0.0572034
"United Nations Educational, Scientific and Cultural Organization"	0.057195
"European Parliament"	0.0571236
"Health Department"	0.0570183
CCF	0.0569587
HKTA	0.0568793
"United Nations High Commissioner for Refugees"	0.0567686
"Chinese Foreign Ministry"	0.0567438
UNDP	0.0566995
PECC	0.0566708
"auction house"	0.0566456
ECA	0.0565829
"Salvation Army"	0.0564657
"Red Cross Society"	0.0563977
Bi	0.0563769
"Treasury Department"	0.0561611
SDPC	0.056134
NAACP	0.0561211
Secretariat	0.0559821
CNTA	0.0559715
))
("Carter Eskew" (desc 2211.05) (sims
"Karl Rove"	0.301796
"Mike Murphy"	0.291989
"James Carville"	0.27056
"Bob Shrum"	0.262592
"Mark McKinnon"	0.258503
"John Weaver"	0.257597
"Dick Morris"	0.232541
"David Bar-Illan"	0.231259
"Ralph Reed"	0.228217
"Lee Atwater"	0.211198
"Paul Begala"	0.196486
"Dan Schnur"	0.183809
"George Stephanopoulos"	0.166191
"Michael Murphy"	0.165135
"Harold Ickes"	0.164108
"Ahmed Tibi"	0.155492
"Daim Zainuddin"	0.152571
el-Baz	0.152171
"Celinda Lake"	0.149651
"Rahm Emanuel"	0.147988
"Mary Matalin"	0.143284
"Gene Sperling"	0.143041
"Karen Hughes"	0.140827
"Bruce Lindsey"	0.13633
"Sidney Blumenthal"	0.135479
"Bruce Teitelbaum"	0.127078
"Danny Yatom"	0.12515
"Shelly Finkel"	0.118951
"Condoleezza Rice"	0.116658
"Frank Luntz"	0.113886
"Abby Joseph Cohen"	0.113841
"Fehmi Agani"	0.112526
"Dore Gold"	0.107146
"John Koskinen"	0.0926667
"Samuel Berger"	0.0906701
"Terry McAuliffe"	0.0897394
"Sergei Yastrzhembsky"	0.0869778
"Yitzhak Molcho"	0.0862402
"Tony Coelho"	0.0859085
"Callista Bisek"	0.0850877
Eskew	0.0821255
"Vernon E. Jordan Jr."	0.078178
"Robert Aventajado"	0.0763112
"media consultant"	0.0762676
"Richard Hatch"	0.0755049
al-Baz	0.0729701
"Nabil Shaath"	0.0724402
"Barry R. McCaffrey"	0.0711925
"Vladimiro Montesinos"	0.0699859
"Illinois Republican"	0.0687002
"Anatoly Chubais"	0.0677445
"William Kristol"	0.0671004
"Alexander Lebed"	0.0641991
"Vernon Jordan"	0.0631612
"Dennis Ross"	0.0626695
"Ernie Zampese"	0.0625366
"Sandy Berger"	0.0601929
"Clint Reilly"	0.0599741
Mandelson	0.0589683
"Barry Diller"	0.0583734
"Maria Hsia"	0.0574061
"Vincent Foster"	0.0569052
"Boris Fyodorov"	0.0565986
"Jim Nicholson"	0.0562389
"William Daley"	0.056206
"Bobby Brown"	0.0558987
"campaign adviser"	0.0558423
R-Wis.	0.0553151
R-Va.	0.0552061
"Gerald Levin"	0.0545941
"Barry McCaffrey"	0.0545402
Nanula	0.0536891
"Billy Payne"	0.0533569
"Warren Rudman"	0.053111
Litigator	0.0530638
"Yuri Maslyukov"	0.0530143
troubleshooter	0.0524063
R-Del.	0.0523505
"Martin McGuinness"	0.0519193
"Lucio Tan"	0.0518462
"Boris Berezovsky"	0.0518058
"campaign official"	0.0514985
"KPMG Peat Marwick"	0.0510698
"Saeb Erekat"	0.0510262
"Charles LaBella"	0.0509037
"Yossi Beilin"	0.0508316
speechwriter	0.050737
R-N.M.	0.05065
"Saeed Hajjarian"	0.0504781
"Li Ruihuan"	0.0499733
"Mike Martz"	0.0490308
"vote counter"	0.0488294
"Brent Scowcroft"	0.0486073
"Robert Torricelli"	0.0485342
"Azem Hajdari"	0.0482424
"Henry Hyde"	0.0481941
Marineau	0.0477803
"Cyril Ramaphosa"	0.0475782
Birnbaum	0.0473813
"Gary Bauer"	0.0471405
"Adem Demaci"	0.0471341
"Robert Rubin"	0.0467554
R-Alaska	0.0466809
pollster	0.0464024
Berenson	0.046293
"Kurt Rambis"	0.0462399
"Al Groh"	0.046121
Lindner	0.0455631
urologist	0.0452935
"John Kim"	0.0452286
"temporary worker"	0.0450937
Napolitano	0.0443613
"Ernest Hollings"	0.0443578
"Tim Floyd"	0.0443565
psychotherapist	0.044334
Vasquez	0.043902
"Gennady Zyuganov"	0.0435667
ghostwriter	0.04349
Dumas	0.043487
Baz	0.0433947
McMullen	0.0432432
D-S.C.	0.0431816
Hiddink	0.0430436
"Steve Ballmer"	0.0429824
fundraiser	0.0429816
R-Tenn.	0.042906
petitioner	0.0428438
McAuliffe	0.042746
"Michael Eisner"	0.0426346
"Peter Mandelson"	0.042613
R-N.C.	0.0425497
"Abbe Lowell"	0.0425014
Baumann	0.0424979
McConnell	0.0423304
Paxon	0.0422882
Greenberg	0.0419236
Ickes	0.0417087
appraiser	0.0416468
Hendrickson	0.0415996
R-Ind.	0.041513
anesthesiologist	0.041401
"landscape architect"	0.0409381
"Alan Greenspan"	0.0409044
"Bora Milutinovic"	0.0408829
"Betty Currie"	0.0408055
CMG	0.0406922
Olsen	0.0405734
Betts	0.0404497
"Florida Republican"	0.040386
"Pete Domenici"	0.0403796
"John Conyers"	0.0401259
))
("Carter Holt Harvey" (desc 6274.76) (sims
"Fletcher Paper"	0.665928
"Fletcher Energy"	0.634593
"Lion Nathan"	0.623061
"Fletcher Building"	0.619647
"Auckland Airport"	0.59264
"Brierley Investment"	0.58706
"Brierley Investments"	0.509928
"Fletcher Forests"	0.484852
"Contact Energy"	0.472547
"Air New Zealand"	0.468684
"Fletcher Forest"	0.420177
AMP	0.263442
"Sky TV"	0.253796
Fletcher	0.219608
Westpac	0.20752
Telecom	0.203869
ANZ	0.192524
Telstra	0.188826
"Rio Tinto"	0.180959
"National Australia Bank"	0.175596
"Wireless Optus"	0.163869
SPH	0.162986
"Industrial Index"	0.156671
"Commonwealth Bank of Australia"	0.155754
BHP	0.152536
"Straits Times Index"	0.146993
"Commonwealth Bank"	0.144183
WMC	0.139926
NAB	0.137551
"GE Life"	0.136739
"Creative @@"	0.127343
"Second Board Index"	0.125966
"Emas Index"	0.125739
"Nikkei Stock Average"	0.120801
"City Development"	0.119466
"SPH @@@"	0.118203
PacCent	0.116305
"Straits Times Industrials Index"	0.116003
"News Corp"	0.113737
"Xetra Dax"	0.113588
"CAC @@"	0.108695
"Philippine Stock Exchange Index"	0.10466
"Tokyo Stock Price Index"	0.104394
"preferred shares"	0.102553
FT-SE	0.101816
CRA	0.0993143
"Composite Index"	0.0969093
"Hang Seng China Enterprises Index"	0.0944198
"Hang Seng Index"	0.091581
sub-index	0.0901398
Nathan	0.0889375
"FTSE @@@"	0.0887032
STI	0.0877894
"Weighted Price Index"	0.0875498
Nikkei	0.0871528
warrant@@	0.0869158
Ansett	0.08636
CAC	0.0841704
DAX	0.0841041
w@@	0.0826296
SIA	0.0821135
"Hang Seng China-Affiliated Corporations Index"	0.0820192
HSI	0.0799527
CAC-@@	0.0774442
Sanford	0.076633
"Dow Jones Industrial Average"	0.0730303
"bond price"	0.0714581
"Shanghai Composite Index"	0.0707692
"pork belly"	0.0703078
scrip	0.0701679
"Hang Seng"	0.069917
"Kenyan shilling"	0.0690368
UOB	0.0687411
"JDS Uniphase"	0.0679751
sharemarket	0.0669498
Colonial	0.0666634
Schlumberger	0.0665063
"ordinary shares"	0.066335
"Philippine peso"	0.0658695
"F&AMP;N"	0.0643486
industrials	0.063503
db	0.0634528
Qantas	0.062443
Bovespa	0.0620287
Sensex	0.0614394
"Exxon Mobil"	0.0605694
"S&AMP;P"	0.0600933
Woodside	0.0596323
RAMBUS	0.059432
"Cisco Systems"	0.0575076
"HSBC Holdings"	0.0568994
"Singapore Airlines"	0.0568144
Composite	0.0566138
"retail price index"	0.0564083
UAL	0.0548132
Dow	0.0544079
"Bovespa Index"	0.0540971
"one cent"	0.0540748
"futures price"	0.0537289
"NASDAQ Composite Index"	0.0537029
"Eli Lilly"	0.0523818
"blue-chip stock"	0.0520687
"Hutchison Whampoa"	0.0519031
bramble	0.0517467
oat	0.0517342
Alcoa	0.0508186
"New Zealand dollar"	0.0506373
"Australian dollar"	0.0504449
"Singapore Press Holdings"	0.0503228
CBA	0.0499143
Nasdaq	0.0489075
"Hong Kong Telecom"	0.0488875
Qualcomm	0.0480947
Sautin	0.0473042
Ltd.	0.0472994
sub-indices	0.0472921
Halliburton	0.0470298
commonwealth	0.0468247
"consumer price index"	0.0467124
"Johnson &AMP; Johnson"	0.0466751
Merck	0.0463574
Stocks	0.0455226
Honeywell	0.0454788
"Chase Manhattan"	0.0453003
"B share"	0.0452664
"Pacific Century Cyberworks"	0.0451651
"Vodafone AirTouch"	0.0450848
"American Express"	0.0450462
VENATOR	0.0449168
"Sensitive Index"	0.0449011
"truck sale"	0.0448879
OCBC	0.0447995
Barclays	0.0446629
Schering-Plough	0.0442598
"United Technologies"	0.0441997
HSBC	0.0440991
Immunex	0.0439149
EMC	0.043069
Telefonica	0.0428867
"five cents"	0.0428081
"Charles Schwab"	0.0420457
"J.P. Morgan"	0.0419998
Hewlett-Packard	0.0416892
"Texas Instruments"	0.0416208
"BP Amoco"	0.0415831
"eight cents"	0.0413212
Railtrack	0.0412926
capitalisation	0.041205
"Dell Computer"	0.0409869
"dollar amount"	0.0407586
Amgen	0.0406501
FTSE	0.0404759
CMG	0.0401755
"market average"	0.0400217
))
(Carthage (desc 4465.29) (sims
"Crystal City"	0.142782
Hillsboro	0.136339
Americus	0.132846
Elmira	0.124445
Macoris	0.122356
Peekskill	0.118236
"Newport Beach"	0.115187
Chappaqua	0.113932
Marietta	0.104387
Chatham	0.104029
Morristown	0.102438
Salisbury	0.100907
Yekaterinburg	0.0987384
Riverdale	0.0972053
Stamford	0.0967546
Utica	0.0958325
BRIGHTON	0.0955823
"Saratoga Springs"	0.095352
Princeville	0.0925896
"Virginia Beach"	0.0908357
Weimar	0.0905349
"Baton Rouge"	0.0905229
Cardenas	0.0904973
Jasper	0.0897547
Matamoros	0.0896606
Florence	0.0891632
Huntington	0.0887581
Wilmington	0.0884396
"Huntington Beach"	0.0879449
Plano	0.0875998
Naples	0.0875138
Brockton	0.0873903
midland	0.0867667
Winchester	0.0866188
Lubbock	0.0865676
Macon	0.0865347
Baalbek	0.0862263
Montclair	0.0861848
"Paradise Valley"	0.0854993
Missoula	0.0847306
Dundalk	0.0847293
Casper	0.0843823
"West Palm Beach"	0.084204
Redding	0.084148
"Thousand Oaks"	0.0831572
Marjayoun	0.0829263
Knoxville	0.0825672
Waterloo	0.0822191
Eureka	0.0814742
Spokane	0.0814469
Yonkers	0.0814413
Laramie	0.0809472
flint	0.0808711
"Iowa City"	0.0807373
Hattiesburg	0.0806815
"New Haven"	0.0805514
Golcuk	0.0804272
Braintree	0.0801148
Tucson	0.0801096
Greenwich	0.0800191
Odessa	0.0800127
"Palm Springs"	0.0798074
Akron	0.0796481
Prizren	0.0794366
Bridgeport	0.0791127
"Van Nuys"	0.078711
Albuquerque	0.0786387
Lafayette	0.0785067
"East Orange"	0.0784119
"San Cristobal"	0.0779822
Piedmont	0.0773902
Lakeland	0.0773658
"Union City"	0.0773506
"Grand Prairie"	0.07734
Englewood	0.0773234
Huntsville	0.0771097
Falmouth	0.0770004
Hoboken	0.0768223
"Corpus Christi"	0.0768067
"Fall River"	0.0768033
Brownsville	0.0767454
Beaumont	0.0764195
"Palm Beach"	0.0762859
Carrollton	0.0759791
Ipswich	0.0756626
"Little Rock"	0.0755779
"East Los Angeles"	0.0754944
"North Hollywood"	0.0753981
Kailahun	0.0753189
"Gaza City"	0.0751147
"Westchester County"	0.074963
Farmington	0.0747874
Portsmouth	0.0747206
"Boynton Beach"	0.0746124
Izmit	0.0746034
"Delray Beach"	0.0744524
Sedona	0.0741658
Gainesville	0.0740082
Gloucester	0.0740081
"Lake Worth"	0.0739354
Greenville	0.0735673
Bellevue	0.073483
Tokaimura	0.0734364
Montpelier	0.0734096
"Greenwich Village"	0.0732794
"Fort Worth"	0.0731925
Duluth	0.0727791
"Great Neck"	0.0727131
"East St. Louis"	0.0726822
Westport	0.0726084
Bangor	0.0725522
Sarasota	0.0724149
Bellingham	0.0722008
Oxnard	0.0721397
Columbus	0.0716083
Hastings	0.0713111
Woburn	0.0711352
"Miami Valley"	0.0708194
"San Fernando Valley"	0.0708104
"Grand Rapids"	0.0706214
Memphis	0.0705483
"Palm Beach Gardens"	0.0704912
"Walnut Creek"	0.0704374
"Mill Valley"	0.0704255
Nazareth	0.0703611
Larnaca	0.0703561
"Vero Beach"	0.0701783
Chattanooga	0.0700695
Leawood	0.0700616
Raleigh	0.0699789
Mbarara	0.0699651
Fairfield	0.0698037
Jericho	0.06964
Qufu	0.0694894
FARGO	0.0693146
Derry	0.0692305
Lhokseumawe	0.0692213
Clifton	0.0691915
Harlem	0.0690622
Hanover	0.0688978
Lufkin	0.0688848
Conyers	0.0687045
"Marin County"	0.0686936
Savannah	0.0686708
"Simi Valley"	0.0684862
Lexington	0.0683672
Westfield	0.0680034
Decatur	0.0678587
Kragujevac	0.0678566
"Port Arthur"	0.0677805
Flagstaff	0.0677458
Fredericksburg	0.0676842
Nogales	0.0676425
Shreveport	0.0675892
Urosevac	0.0675801
Youngstown	0.0675122
"The Bronx"	0.0675051
Murmansk	0.0673984
"Chapel Hill"	0.0673912
"Des Moines"	0.0673395
Richmond	0.067169
Encino	0.0670819
Newport	0.066842
ASHEVILLE	0.0668412
"South Bend"	0.0668251
Birmingham	0.0667725
Evansville	0.0667158
"Studio City"	0.0666842
Bensonhurst	0.0666742
TALLAHASSEE	0.0664504
Naperville	0.0662355
"Stone Mountain"	0.0660862
Sausalito	0.0660267
"Cedar Rapids"	0.0660175
ARCADIA	0.0659778
Dayton	0.0659709
"Red Hook"	0.0658249
Elton	0.0656678
Bloomington	0.0654491
Fayetteville	0.0654458
Modesto	0.0651695
"El Paso"	0.065123
Scottsdale	0.065013
Middletown	0.064967
Fresno	0.0648329
Nashua	0.06481
"Madison County"	0.0646485
"Woodland Hills"	0.0646171
Abilene	0.0646153
riverside	0.0643603
"Port Said"	0.06436
Ojai	0.0643095
Worcester	0.0642836
Ensenada	0.0642817
Bedford	0.0642792
LAKEWOOD	0.0642717
Williamstown	0.0642403
Louisville	0.0641328
"Silver Spring"	0.0640894
"Palo Alto"	0.0640765
))
(Cartier (desc 1927.86) (sims
Chanel	0.173817
"sterling silver"	0.117549
HERMES	0.114614
"Louis Vuitton"	0.113205
Rolex	0.1085
Tiffany	0.103307
Ferragamo	0.0993763
Fendi	0.0908801
Versace	0.086642
Gucci	0.0864468
rhinestone	0.084864
"Saks Fifth Avenue"	0.0787711
Kimbell	0.0783543
Prada	0.0783403
Barneys	0.0781371
"Jil Sander"	0.0733322
quartz	0.0706311
LVMH	0.0691601
"Dolce &AMP; Gabbana"	0.0668555
DKNY	0.0658521
"Star of David"	0.0656609
turquoise	0.0653197
Onyx	0.064527
"Neiman Marcus"	0.0640398
"Dick Tracy"	0.0639708
"Giorgio Armani"	0.0628298
Casio	0.0621982
Armani	0.0611701
Moma	0.0610322
Dior	0.0595156
"Calvin Klein"	0.0590873
"Donna Karan"	0.0584723
"Estee Lauder"	0.0579553
Lucite	0.0571051
"another @@@ million"	0.0564081
emerald	0.054002
swatch	0.0539763
sapphire	0.0514903
"Saint Laurent"	0.0513398
"Pottery Barn"	0.0506521
"FAO Schwarz"	0.0499119
Galle	0.0495579
"Barneys New York"	0.0492168
CCA	0.0489734
Ingres	0.0485319
"Art Nouveau"	0.0480373
pewter	0.0477295
teardrop	0.0475046
Eames	0.0473232
Burberry	0.0471433
Parrish	0.0469281
"Gianni Versace"	0.0462288
Valentino	0.0452807
Chappell	0.0452329
solitaire	0.0451079
"Bill Blass"	0.0433132
"high fashion"	0.0430943
Onassis	0.0429487
platinum	0.042696
Deco	0.0422089
Heade	0.0421312
Fairchild	0.0420249
webcams	0.0415101
Bonnard	0.0411157
DMA	0.0408012
Auger	0.04066
seashell	0.0403825
))
(cartilage (desc 12421.3) (sims
ligament	0.272005
meniscus	0.246714
tendon	0.227347
ACL	0.207334
tissue	0.156742
labrum	0.154175
tendinitis	0.147826
muscle	0.146551
"achilles tendon"	0.141378
sprain	0.134165
fracture	0.132797
bone	0.130407
"heart valve"	0.128589
cuff	0.128441
retina	0.118265
soreness	0.117411
nerve	0.115993
sinew	0.111477
"blood vessel"	0.110272
"brain cell"	0.109304
kidney	0.10574
bruise	0.105714
contusion	0.105068
groin	0.102104
hernia	0.101791
triceps	0.100305
lung	0.0985877
liver	0.0971679
"internal organ"	0.0937535
skin	0.0933702
hamstring	0.0927169
quadriceps	0.0913526
Achilles	0.0913135
"bone marrow"	0.0906203
flexor	0.0899814
marrow	0.0870601
"connective tissue"	0.0863566
bladder	0.0851819
inflammation	0.0849889
fascia	0.0837134
stiffness	0.0829918
"blood cell"	0.0829908
"nerve cell"	0.082785
arthritis	0.0824969
aneurysm	0.0814845
knee	0.0808437
"spinal cord"	0.0796173
rib	0.0792098
"nervous system"	0.0785261
ankle	0.0769653
prostate	0.0762354
ovary	0.0760139
elbow	0.0759458
tumor	0.0751162
brain	0.0744909
"leg bone"	0.0737387
sore	0.0728451
shoulder	0.0719824
femur	0.0717319
cornea	0.0712468
"heart muscle"	0.0711602
joint	0.071043
vertebra	0.0704699
membrane	0.0703689
concussion	0.0703683
fat	0.0699071
wrist	0.069774
tightness	0.0691009
collarbone	0.0679488
swelling	0.0674248
cell	0.06674
organ	0.0661958
"blood clot"	0.0656308
gallbladder	0.065484
colon	0.0654812
"muscle cell"	0.0654314
fibula	0.0653328
"lymph node"	0.0652061
Tooth	0.0646612
pain	0.064429
twinge	0.0634846
"rib cage"	0.0631941
biceps	0.0630723
artery	0.06267
forearm	0.0624316
Calcium	0.0618953
offal	0.0609636
pancreas	0.0601464
"brain tumor"	0.0591985
protein	0.0584689
sinus	0.0583956
sternum	0.0581501
calf	0.0579706
collagen	0.0578489
shrapnel	0.0577182
flesh	0.0570639
Gash	0.0565463
discomfort	0.0561437
"index finger"	0.0561113
limb	0.0561059
disc	0.055572
"red blood cell"	0.0544883
blister	0.0536409
cyst	0.0533564
laceration	0.0532759
pelvis	0.0531502
spine	0.0528461
impurity	0.0527588
vertebrae	0.0525742
vitamin	0.0525719
insulation	0.0524529
meat	0.0523724
lining	0.0522916
"vocal cord"	0.0521048
thigh	0.0516261
dislocation	0.0514158
teeth	0.0513272
jaw	0.0510341
neuron	0.0509959
screw	0.0506978
toe	0.0503855
sac	0.050211
disk	0.0501832
fiber	0.0501405
"central nervous system"	0.0499928
vein	0.0498106
breast	0.0496167
stomach	0.0493475
scar	0.0492802
carcass	0.0490891
lesion	0.0490857
ulcer	0.0484287
skull	0.0482803
TCM	0.048254
"body part"	0.048203
spasm	0.0481982
"skin cancer"	0.0481414
"eye socket"	0.0478193
cataract	0.0476339
eardrum	0.0475766
thumb	0.0474373
Embryo	0.0471638
"white blood cell"	0.0469806
fluid	0.0467258
glaucoma	0.0467059
kneecap	0.0466618
"brain stem"	0.0462189
cortex	0.0461955
syndrome	0.0457698
intestine	0.0455131
sunburn	0.0452502
"circuit board"	0.0452228
cheekbone	0.0450674
"lung cancer"	0.0446834
hemorrhage	0.0444104
larynx	0.044324
gum	0.0438665
shoelace	0.0438049
infection	0.0436282
estrogen	0.0435606
collateral	0.0433142
valve	0.0432077
stitch	0.0431155
"blood pressure"	0.0428959
bowel	0.0427137
moisture	0.0427065
"cancer cell"	0.0426178
caffeine	0.0425173
irritation	0.0425137
nutrient	0.0424951
wiring	0.0423121
fingernail	0.0421477
Stinger	0.0420545
ailment	0.0420307
neck	0.0419583
iodine	0.041886
sheath	0.041666
interferon	0.0413492
jackscrew	0.0411076
discoloration	0.0410086
"hair follicle"	0.0410009
fragment	0.0409665
mildew	0.0409656
transplantation	0.0407788
lycopene	0.0407108
placebo	0.0405991
"coronary artery"	0.0405764
aorta	0.0405258
tannin	0.0404739
scalp	0.0403917
skeleton	0.0403465
capsaicin	0.0402864
vegetation	0.0402545
bandage	0.0402492
"vitamin A"	0.0401791
capsule	0.0400774
hormone	0.040004
))
(cartographer (desc 2651.15) (sims
"Boutros Boutros Ghali"	0.103001
demographer	0.0978551
seismologist	0.0889749
geologist	0.0708767
Palazzo	0.0692318
archeologist	0.0690093
"Louise Arbour"	0.0684859
geophysicist	0.0681914
statistician	0.0661063
"Robert Aventajado"	0.0633946
"Economic Commission for Latin America"	0.0611544
"hockey coach"	0.0608709
toxicologist	0.0598914
agronomist	0.0598423
surveyor	0.0577865
sociologist	0.0563604
ornithologist	0.0548408
"Economic Commission for Africa"	0.0529307
anthropologist	0.0528313
"Commission on Human Rights"	0.0522549
translator	0.0520709
"film maker"	0.0517925
"man of letters"	0.0517034
archivist	0.0514119
"aerospace engineer"	0.0508253
zoologist	0.0507141
rapporteur	0.0505403
bailiff	0.0504883
"Russian Defense Ministry"	0.0501003
medic	0.0496965
undersecretary-general	0.0496133
mathematician	0.0493964
courtesan	0.0487258
Allergist	0.0485592
archaeologist	0.04846
inspectorate	0.0481328
"government officials"	0.0469783
colonizer	0.0467277
"International Court of Justice"	0.0466746
linguist	0.0465153
Aventajado	0.0460834
"medical examiner"	0.0458498
actuary	0.0454367
"landscape painting"	0.0453229
reviewer	0.0449722
"Economic and Social Council"	0.0448365
pathologist	0.0447488
"Food and Agriculture Organization"	0.0446336
PSC	0.0443843
sculptor	0.0441595
constable	0.0440246
"antitrust regulator"	0.0439919
"financial officer"	0.0438944
animators	0.0438821
neurosurgeon	0.0438304
"political scientist"	0.0437821
"Betty Friedan"	0.0437511
Shareh	0.0433955
"Secretary- General"	0.0432483
friar	0.0429561
"air force officer"	0.0428865
"Public Affairs"	0.0428298
imperialist	0.0425688
"drama critic"	0.0423277
"landscape architect"	0.0422829
"intelligence analyst"	0.0421229
horticulturist	0.0420139
Clothier	0.041575
experimenter	0.0415125
botanist	0.041275
ISTAT	0.0410794
"civil engineer"	0.0410352
"Marco Polo"	0.0407637
conservator	0.0407359
Kosovar	0.040701
Under-Secretary-General	0.0405441
cartoonist	0.0404566
"Office of Management and Budget"	0.0404288
restorer	0.0403465
copywriter	0.0402481
"artillery unit"	0.04008
))
(carton (desc 13881.2) (sims
container	0.152516
crate	0.148453
bottle	0.132205
box	0.127142
jar	0.122811
jug	0.103372
bag	0.102792
packet	0.0972176
suitcase	0.095287
tray	0.0952005
"cereal box"	0.0943363
pallet	0.0912278
wrapper	0.0885432
"coffee cup"	0.0865271
vial	0.0827143
envelope	0.0825904
Tin	0.0798996
"shopping bag"	0.0785762
"two boxes"	0.0779129
bucket	0.0776197
"duffel bag"	0.0773224
packaging	0.0762449
"water bottle"	0.073365
"soda can"	0.0732035
bundle	0.0730684
"paper bag"	0.0721871
"water jug"	0.0712863
glass	0.0710415
sack	0.0701092
"grocery bag"	0.0681473
cylinder	0.0679264
plastic	0.0677258
urn	0.0675142
stack	0.0673568
luggage	0.0666179
pail	0.0665344
"packing material"	0.0659106
tube	0.0656711
six-pack	0.0648951
cup	0.0646406
pint	0.0643252
cooler	0.0640938
bowl	0.0638313
briefcase	0.0636102
"wine bottle"	0.0629635
"beer can"	0.0621498
parcel	0.0619713
mattress	0.0610536
consignment	0.060889
quart	0.0599717
backpack	0.0597908
brick	0.0593332
sheet	0.059209
pouch	0.0587486
cake	0.0585308
Bin	0.0578088
"garbage can"	0.0576824
"file cabinet"	0.0572889
"wrapping paper"	0.0571484
trash	0.0571221
drawer	0.057063
folder	0.0566986
truckload	0.0566706
pot	0.0563849
basket	0.0563742
"one cup"	0.0562483
towel	0.0562055
batch	0.0558384
dish	0.0558299
refrigerator	0.0557763
tortilla	0.05569
"sheet of paper"	0.0553574
tub	0.0551837
cloth	0.0551501
"cargo container"	0.0550634
ramekins	0.0550059
"two bags"	0.0548033
"trash can"	0.0546609
"business card"	0.0542764
"ice cream"	0.0540771
"vending machine"	0.0540578
T-shirt	0.0539468
keg	0.0539334
grocery	0.053633
"two tons"	0.0534205
napkin	0.0532116
coffin	0.0531937
"piggy bank"	0.0531775
gallon	0.0531574
freezer	0.052843
Casket	0.0527846
crayon	0.0526398
syringe	0.0525879
blanket	0.0525741
cartridge	0.0525508
barrel	0.0525456
billboard	0.0523615
diaper	0.0522393
cardboard	0.0522259
Matchbox	0.0518672
sandwich	0.0517594
Garbage	0.0516303
"cigarette butt"	0.0513364
condom	0.0513328
milk	0.0512778
bread	0.0509648
rack	0.0506673
trunk	0.0502556
canister	0.0501325
quantity	0.0500709
lumber	0.0498864
tank	0.0498694
"golf bag"	0.0495019
soda	0.049449
trailer	0.0492435
shoe	0.0492153
saucer	0.0491669
"aluminum foil"	0.0490109
plate	0.0490086
"canned goods"	0.048971
postcard	0.048917
wrapping	0.0488032
"beer bottle"	0.0481015
casing	0.0480592
"postage stamp"	0.0480563
"tractor trailer"	0.047895
tarpaulin	0.0478892
pillow	0.0474998
binder	0.0472013
"golf ball"	0.0471167
biscuit	0.0470623
locker	0.0470075
hearse	0.0468814
"soft drink"	0.0468503
candy	0.0460661
"television set"	0.0458539
mug	0.0457919
"food product"	0.0457182
cooky	0.0456691
"dollar bill"	0.0456158
sleeve	0.0456129
shelf	0.0455291
ton	0.045416
disk	0.0452935
"tv set"	0.0452561
Clothing	0.0448453
barbell	0.0448437
cigarette	0.04469
cube	0.0446238
printout	0.0445526
stub	0.0444988
pan	0.0444441
pumpkin	0.0444337
kit	0.0444226
Plywood	0.0443988
pizza	0.0443948
notebook	0.044289
beverage	0.044195
apron	0.0441161
"loaf of bread"	0.0441065
ration	0.0440538
lid	0.0440316
scarf	0.0440298
"more than @@,@@@ tons"	0.0440217
Coin	0.0438735
drum	0.0436607
stacks	0.0435517
"paper towel"	0.0435388
kilo	0.0434243
blender	0.0433731
stationery	0.0433549
CD	0.0433295
photocopy	0.0433002
trove	0.0431933
sandbag	0.0431876
carpet	0.0431683
pastry	0.043163
microfilm	0.0430172
"sheet music"	0.0429879
chunk	0.0429409
cart	0.0429224
urinal	0.0428078
helmet	0.0427655
cage	0.0427615
pipe	0.0426687
"toilet paper"	0.0426427
fruit	0.0426315
apparel	0.0425597
cot	0.0424453
tarp	0.0424387
tile	0.0424141
bookshelf	0.0422529
baggage	0.0422527
purse	0.0422142
furniture	0.0421948
garment	0.0421556
poster	0.0421498
cooker	0.0421476
HARDCOVER	0.0421258
cassette	0.0420868
))
(cartoon (desc 46184) (sims
"comic strip"	0.143707
"comic book"	0.135226
movie	0.126935
"TV show"	0.122985
photograph	0.114113
sitcom	0.113486
film	0.113024
comic	0.104845
"television show"	0.102599
video	0.10251
comedy	0.102422
animation	0.0997187
drawing	0.0993323
picture	0.0992302
essay	0.0979162
sketch	0.0974618
photo	0.0953128
documentary	0.093242
poem	0.0930409
"South Park"	0.0895759
AD	0.0888148
"video game"	0.0874372
advertisement	0.0859971
"soap opera"	0.0859938
"game show"	0.0859119
skit	0.0858391
"feature film"	0.0857881
"television program"	0.0854959
story	0.0850903
poster	0.0849643
book	0.0844106
Song	0.0843647
painting	0.0842105
article	0.0840803
"short story"	0.0840437
toy	0.083614
commentary	0.0834724
illustration	0.0833346
clip	0.082303
drama	0.0821928
musical	0.0816135
novel	0.0813899
"TV program"	0.0810593
tale	0.0806868
character	0.0803071
commercial	0.0799636
cartoonish	0.0794436
music	0.0789945
satire	0.0789484
"Star Trek"	0.078661
"science fiction"	0.0763975
image	0.075791
flick	0.0757271
serial	0.0749402
feature	0.0748595
portrait	0.0746293
joke	0.0742124
fiction	0.0737229
headline	0.0721019
miniseries	0.071993
series	0.0714069
print	0.0711865
"Star Wars"	0.0706672
TV	0.0701843
"motion picture"	0.0699499
artwork	0.069457
Entertainment	0.0692265
map	0.0691954
poetry	0.0691737
doll	0.0688394
programming	0.068783
"talk show"	0.0687563
Recording	0.0686091
opera	0.0685674
"newspaper article"	0.0685371
"Toy Story"	0.0681658
"computer game"	0.0681627
"TV movie"	0.0681438
"documentary film"	0.0680146
fantasy	0.0678906
dance	0.0678128
text	0.0675124
noir	0.067506
caricature	0.0673995
biography	0.0672187
episode	0.0670809
art	0.0670668
literature	0.066964
Pokemon	0.0669324
"Sesame Street"	0.0667701
"film clip"	0.0666111
special	0.0663138
thriller	0.0660735
writing	0.0656815
Simpsons	0.065599
"news show"	0.0654285
sculpture	0.0654053
photography	0.0652557
magazine	0.0651893
adventure	0.0650837
column	0.0647725
editorial	0.0647106
humor	0.0646073
script	0.0644951
spoof	0.0642247
graphics	0.0642113
interview	0.0641499
version	0.0639743
page	0.0638675
anecdote	0.0638052
classic	0.0637138
postcard	0.0636127
album	0.0633271
television	0.0632521
watercolor	0.0632181
profile	0.0631551
Rugrats	0.0627968
parody	0.062405
rerun	0.0623362
"trading card"	0.0620735
fashion	0.0616409
Screenplay	0.0614176
billboard	0.0613677
footage	0.061229
newsreel	0.0611609
lyric	0.0608456
brochure	0.0604594
memoir	0.0602544
costume	0.0599751
catalog	0.0597675
scene	0.0596545
epic	0.059571
vignette	0.0595271
cookbook	0.059221
manuscript	0.0590196
diary	0.0589844
"oil painting"	0.0588895
pamphlet	0.0587706
ballet	0.0587593
videotape	0.0587307
"magazine article"	0.0583251
excerpt	0.0582028
Advertising	0.0579051
CD	0.0578111
Dilbert	0.0576837
Tarzan	0.0574488
collage	0.0572789
logo	0.0572553
style	0.0570134
recipe	0.0569355
"Austin Powers"	0.0567901
puppet	0.0567627
"variety show"	0.056405
lithograph	0.0564045
material	0.0562289
memorabilia	0.0561217
artifact	0.0559792
quotation	0.0555786
genre	0.0554867
collection	0.0554764
"TV commercial"	0.0554108
cutout	0.0552722
letter	0.0550936
piece	0.0547213
Batman	0.0546998
"Ally McBeal"	0.0546162
sequel	0.0542818
description	0.0541513
farce	0.0541167
"James Bond"	0.0539965
icon	0.0537198
textbook	0.0536998
puzzle	0.0535868
news	0.0533246
novella	0.0532464
trivia	0.0531757
chart	0.0531709
"home movie"	0.0531582
booklet	0.0531404
sport	0.0530986
audio	0.0529572
"black and white"	0.0529117
"news program"	0.0528488
content	0.0528439
"Night Live"	0.0528349
"rock 'n' roll"	0.0526149
"newspaper column"	0.0524817
autobiography	0.0524617
mural	0.0523937
cartoonist	0.0522189
celebrity	0.0521647
"special effect"	0.0520698
"real life"	0.0520372
horror	0.0519727
"pop music"	0.0518704
masterpiece	0.0518213
exhibit	0.0517026
broadcast	0.0516777
"newspaper ad"	0.0516015
storybook	0.0515269
))
("Cartoon Network" (desc 4102.9) (sims
"Turner Classic Movies"	0.151031
"Disney Channel"	0.150213
TNT	0.140499
VH@	0.12044
Nickelodeon	0.120434
TNN	0.1142
"Nashville Network"	0.104688
MTV	0.102921
HBO	0.0991755
"History Channel"	0.0963333
Tb	0.0957367
"cable network"	0.093058
VH-@	0.0911785
"Weather Channel"	0.0908061
ESPN	0.0894748
"Comedy Central"	0.0888887
C-Span	0.0872353
"Food Network"	0.0871906
CNNfn	0.0868746
MSNBC	0.0851903
Showtime	0.0819
FX	0.0817077
CNBC	0.0794944
QVC	0.0771298
CNN	0.0763673
PBS	0.0741419
"Fox News Channel"	0.0734792
CNN/SI	0.0728256
"USA Network"	0.0724793
ZDTV	0.0699015
"Discovery Channel"	0.0697993
"TV Land"	0.0695279
"Court TV"	0.067334
UPN	0.0621159
"Fox Sports Net"	0.0620896
ESPN@	0.0603436
"Dateline NBC"	0.0599216
"Fox Network"	0.058534
ABS-CBN	0.0577426
"National Thoroughbred Racing Association"	0.0564051
NTV	0.0552606
"World Wrestling Federation"	0.0545699
"Animal Planet"	0.0542745
"Paramount Pictures"	0.0540284
CBC	0.0536197
"cable television"	0.0533141
"TV network"	0.0526375
WB	0.0526277
"Golf Channel"	0.0525948
"Pax TV"	0.0522829
BBC	0.0519107
"Radio Free Asia"	0.0510589
"news show"	0.0505643
Univision	0.0502819
IAI	0.0500741
"Channel @"	0.0497869
AMC	0.0493783
"Go Network"	0.0493322
IDG	0.0490483
"MindSpring Enterprises"	0.0488523
"Cox Communications"	0.048053
WebMD	0.0478988
"media property"	0.0478225
Teletubbies	0.0477812
"Sesame Street"	0.0467462
"Republican Leadership Council"	0.0463503
PAX	0.0461788
"Warner Bros."	0.0455571
"Southeastern Legal Foundation"	0.0453936
"Marv Albert"	0.0453864
"TV station"	0.0453339
TVKO	0.0449801
"Fox TV"	0.044952
CNPC	0.0448344
"Good Morning America"	0.0443243
"World Championship Wrestling"	0.0442122
CCTV	0.0441363
"Love Lucy"	0.0441222
"Turner Broadcasting"	0.0436093
"television network"	0.043486
EBRD	0.0430573
"Aaron Spelling"	0.0430196
Nightline	0.0428655
PBA	0.0423719
"Lincoln Center Theater"	0.0422819
CRI	0.0422284
"Voice of America"	0.0419845
"ABC Sports"	0.0419764
Opry	0.0419079
CBS-TV	0.0417179
Skoda	0.0414802
M@	0.0413208
CNOOC	0.041229
"Cable News Network"	0.0411814
Harman	0.0409295
ABC-TV	0.0405862
bravo	0.0404617
"Channel @@"	0.0402786
"National Geographic"	0.0402579
Superman	0.0402084
DirecTV	0.0401685
"Mather Worldwide"	0.0400088
))
(cartoonish (desc 3034.53) (sims
streetwise	0.115886
"show biz"	0.0983375
gothic	0.0929527
fairytale	0.0846728
computer-generated	0.0831805
hammy	0.0830794
thumbnail	0.0814578
cartoon	0.0794436
raunchy	0.0793499
defining	0.0773852
toasty	0.0771383
minimalist	0.07669
"comic book"	0.0761241
storybook	0.0734575
escapist	0.0732985
gangland	0.0727594
oddball	0.072657
nuts-and-bolts	0.0715894
"real life"	0.0708135
Hokey	0.0698074
kitschy	0.0682751
"sad sack"	0.0682368
goofball	0.0679726
glitzy	0.06653
"science fiction"	0.0642297
"Jekyll and Hyde"	0.0615787
punchy	0.0613009
papier-mache	0.0611722
overlong	0.0606176
"Star Trek"	0.0601258
Everyman	0.0596616
retro	0.0595994
surrealist	0.0592934
copycat	0.059134
superhero	0.0586809
"matinee idol"	0.0585189
"Lethal Weapon"	0.0584153
"James Bond"	0.0582529
onscreen	0.0578187
forbidden	0.0578037
contrarian	0.0574985
noir	0.0570111
showbiz	0.0557728
scattershot	0.0555813
bare-bones	0.0555107
martial-arts	0.0553693
Deco	0.0544841
jailhouse	0.0541985
"Old West"	0.0537281
take-no-prisoners	0.0537109
"Hello Kitty"	0.0533844
nerdy	0.0531623
multiplayer	0.0530258
revisionist	0.0524187
preppy	0.0523464
SNL	0.052312
"wide screen"	0.0520669
Smokey	0.0519946
O'Connor's	0.051555
"cutting edge"	0.0511757
neo-Nazi	0.0508931
spiffy	0.0504349
"Norman Rockwell"	0.0504009
"Robin Hood"	0.0501264
fave	0.049677
curvy	0.0493946
"the very best"	0.0490796
Centerfold	0.0485294
Frankenstein	0.0484968
nutshell	0.0477973
"Joe Camel"	0.0477732
Hands-off	0.0477028
"show business"	0.0473232
rote	0.0468571
jokey	0.0467629
hands-on	0.0465846
AFA	0.0464669
confessional	0.0464588
"art deco"	0.0462197
downbeat	0.0461384
skinhead	0.0460187
"avant garde"	0.0455834
yuppie	0.0455389
"picture postcard"	0.0451424
Yoda	0.0450208
MacDonald's	0.0447659
JACK's	0.0445759
Americanized	0.0444258
absurdist	0.044331
picky	0.0441109
shattering	0.0439646
misogynist	0.0439554
multimedia	0.0439076
"black and white"	0.0438132
no-frills	0.0436714
nonwhite	0.0436533
stooge	0.0436351
"Old World"	0.0435492
Behind-the-scenes	0.0433844
gonzo	0.0431935
"grim reaper"	0.0430402
"space age"	0.042859
checkerboard	0.042642
Bauhaus	0.0426108
steamroller	0.0424436
Italian-American	0.042443
"up to six"	0.0423368
"B&AMP;W"	0.0422314
knucklehead	0.0420425
"second hand"	0.0420368
late-'@@s	0.0420251
vaudevillian	0.0418728
Sleepwalking	0.0416804
special-effects	0.0413863
singsong	0.0412548
"tough guy"	0.0411878
high-gloss	0.0410648
transformative	0.0408488
"Darth Maul"	0.0408153
Smiley	0.040536
elitist	0.0404884
"close to @@"	0.0404267
cutout	0.040366
"World Championship Wrestling"	0.0403484
"female body"	0.0402641
hothead	0.0401925
))
(cartoonist (desc 10891.6) (sims
illustrator	0.127662
writer	0.120499
"music critic"	0.119359
sportswriter	0.119048
photographer	0.118228
columnist	0.117465
painter	0.110207
novelist	0.106277
Playwright	0.105136
"jazz musician"	0.104992
sculptor	0.104421
calligrapher	0.103237
essayist	0.102571
poet	0.1006
humorist	0.0969185
commentator	0.0963131
journalist	0.0962506
artist	0.0952417
reviewer	0.094341
newspaperman	0.0930011
correspondent	0.0929256
"film producer"	0.0926741
"graphic artist"	0.0924
filmmaker	0.0922083
violinist	0.0897547
animators	0.0896961
satirist	0.0891373
filmmakers	0.0889645
editor	0.088874
"copy editor"	0.0888412
screenwriter	0.0887092
historian	0.0886799
philosopher	0.0884186
copywriter	0.0881414
"art director"	0.087607
comedian	0.0868468
dramatist	0.0838948
critic	0.0838686
musician	0.0829968
composer	0.0825347
choreographer	0.0824894
author	0.0823562
pianist	0.0813135
biographer	0.081247
stylist	0.0810034
cinematographer	0.0796216
songwriter	0.0795176
reporter	0.0790855
designer	0.0789976
photojournalist	0.0775659
lyricist	0.07501
editorialist	0.074424
mathematician	0.0741327
scholar	0.0737389
stockbroker	0.0730927
"fashion designer"	0.073057
storyteller	0.0729641
Programmer	0.0723869
"sports editor"	0.0721944
geologist	0.0721022
scribe	0.0710506
physicist	0.0710262
singer	0.0705858
entertainer	0.0703485
theologian	0.0703351
psychoanalyst	0.0702153
electrician	0.0700589
"comic strip"	0.0699747
handicapper	0.0699364
comic	0.0695378
"art student"	0.0690603
"public speaker"	0.0689582
"press agent"	0.0689562
inventor	0.0686351
actor	0.0686307
lecturer	0.0683105
thinker	0.0681714
educator	0.0681184
"art historian"	0.0680385
performer	0.0680382
"newspaper editor"	0.0675573
broadcaster	0.0674184
linguist	0.0673775
architect	0.067254
creator	0.0671919
"television star"	0.0669275
jurist	0.06687
curmudgeon	0.0666759
actress	0.0666147
"social scientist"	0.0665691
"man of letters"	0.0664904
winemaker	0.066315
statesman	0.0662641
pundit	0.0661134
naturalist	0.0660165
chronicler	0.0657676
"art dealer"	0.0649187
"character actor"	0.0645482
stuntman	0.0640688
speechwriter	0.0635085
ballplayer	0.0632472
evangelist	0.0632364
"film maker"	0.0628278
"disc jockey"	0.0626245
moviemakers	0.0624099
restaurateur	0.0623472
"venture capitalist"	0.0623281
skydiver	0.0621059
cameraman	0.0619078
cellist	0.06178
chemist	0.0614438
pediatrician	0.0613231
sociologist	0.0612974
dancer	0.0612965
"baseball player"	0.0612958
chef	0.0611592
biologist	0.061146
entrepreneur	0.0609976
"hockey player"	0.0609819
"chess player"	0.060914
"basketball player"	0.060736
"computer programmer"	0.0606928
guitarist	0.0606813
woodworker	0.0606702
folklorist	0.0602757
"theater critic"	0.0602692
"newspaper publisher"	0.0602249
botanist	0.0597448
sportsmen	0.0596731
sportscaster	0.0596637
psychotherapist	0.0595622
"English teacher"	0.0595382
"Arianna Huffington"	0.0594868
"interior designer"	0.0592855
barrister	0.0589995
gymnast	0.0589823
"stage director"	0.0589699
musicologist	0.0588861
archaeologist	0.0588617
publisher	0.0586538
psychologist	0.0585763
"Black Panther"	0.0585687
"computer scientist"	0.0585546
newscaster	0.0585136
newsman	0.0583082
statesmen	0.0582363
activist	0.0582204
"real estate agent"	0.0577596
"management consultant"	0.0577
banker	0.0574608
intellectual	0.0570982
gadfly	0.0569863
translator	0.0568851
fireman	0.0567788
picker	0.0566744
"important person"	0.0565181
publicist	0.0564703
craftspeople	0.0564353
organist	0.0562277
"English professor"	0.0559866
"David Remnick"	0.0559201
feminist	0.0559194
cameramen	0.0558408
academic	0.0558039
climber	0.0556238
draftsman	0.0553799
seamstress	0.0553412
preacher	0.0552549
golfer	0.0551337
"movie star"	0.0551304
"sports writer"	0.0547034
shipbuilder	0.0546006
"social worker"	0.0545519
innovator	0.0544254
craftsman	0.0543977
technician	0.0543638
"software engineer"	0.0543442
racer	0.0543306
philanthropist	0.0541936
"mountain climber"	0.054171
firefighter	0.0540839
Minnesotan	0.0540013
rappers	0.053994
"truck driver"	0.0539584
environmentalist	0.0538393
astronomer	0.0537974
talker	0.053539
"naval officer"	0.0533354
"professional golfer"	0.0533178
"electrical engineer"	0.053263
orator	0.053202
Reader	0.0531531
theorist	0.0530628
businessman	0.0530186
"investment banker"	0.0528147
accompanist	0.0527167
Industrialist	0.0526908
collector	0.0525236
Litigator	0.0523892
adventurer	0.0523817
))
(cartridge (desc 12930.4) (sims
casing	0.13313
silencer	0.130836
ammunition	0.129435
Grenade	0.115179
bullet	0.11072
revolver	0.109391
pistol	0.106506
handgun	0.103107
"hand grenade"	0.10215
rifle	0.101384
"submachine gun"	0.0985188
carbine	0.0941573
munition	0.0937855
"machine gun"	0.0935025
floppy	0.0923607
"floppy disk"	0.0917386
"automatic rifle"	0.0912661
cassette	0.0904206
disk	0.0894219
projectile	0.0873561
"rocket launcher"	0.0863754
CD-ROM	0.0855221
shotgun	0.0845671
launcher	0.0840451
"explosive device"	0.0828654
"disk drive"	0.0819012
canister	0.0816404
Shell	0.080569
"pipe bomb"	0.0800446
detonator	0.0781904
"compact disc"	0.0770295
"sawed-off shotgun"	0.0766342
ammo	0.0765568
"memory chip"	0.0751234
explosive	0.0721193
gun	0.0713824
"laser printer"	0.0707689
Projector	0.0700786
mortar	0.069895
disc	0.06912
diskette	0.0680849
printer	0.0674269
firearm	0.0671963
"storage device"	0.066845
"tear gas"	0.0655958
camcorder	0.0647837
bayonet	0.0647656
device	0.0643107
knife	0.0641178
machine-guns	0.0638743
CD	0.063588
battery	0.0626935
DVDs	0.0626024
"high explosive"	0.062459
copier	0.0624072
bazooka	0.062182
holster	0.0621049
pellet	0.0619121
container	0.0618308
adapter	0.0616342
transistor	0.0604374
kit	0.0601756
fuse	0.0601027
"hand-held computer"	0.0596534
cannister	0.0593569
flare	0.0589434
cylinder	0.0587132
"compact disk"	0.0584349
clip	0.0584097
VCDs	0.0580064
tape	0.0578652
AK-@@	0.0575852
cache	0.0575733
machete	0.0574805
ordnance	0.0574248
DVD	0.0571334
"land mine"	0.0568737
"cassette tape"	0.0568352
videocassette	0.0567112
"radio set"	0.0560863
scanner	0.055831
crayon	0.0556352
filter	0.0553141
"plastic explosive"	0.0552254
shrapnel	0.0552245
microchip	0.0547712
cannon	0.0539585
condom	0.053876
howitzer	0.0537676
tank	0.0536906
crossbow	0.0535984
CD-R	0.0535184
bottle	0.0533239
"poison gas"	0.0532582
Magnum	0.0530416
folder	0.0525556
carton	0.0525508
dynamite	0.0524811
module	0.0522648
peripheral	0.0521871
suitcase	0.0520523
console	0.0520474
tuner	0.0518562
DVD-ROM	0.0516448
dowel	0.0514421
pouch	0.0514243
"hearing aid"	0.0512561
modem	0.0510736
"bulletproof vest"	0.0509402
fastener	0.0508041
handset	0.0506795
pipe	0.0506754
musket	0.0506371
VCR	0.050633
tray	0.0506174
"coffee cup"	0.0505737
bulb	0.0505118
crate	0.0500414
vial	0.0499839
needle	0.0499184
"water cannon"	0.0499142
"tool kit"	0.0498863
hardware	0.0498335
drum	0.0497294
microprocessor	0.0496043
artillery	0.0495289
"fishing rod"	0.0493328
motherboard	0.0492926
"hard disk"	0.0492924
remotes	0.04921
walkie-talkie	0.0490347
"Molotov cocktail"	0.0485849
hose	0.0482532
"computer equipment"	0.0482489
contraband	0.0482332
"duffel bag"	0.0481342
M-@@	0.0477965
machineguns	0.0477377
pill	0.0476929
timer	0.0476209
"cigarette lighter"	0.0476155
appliance	0.0473957
"wine bottle"	0.0473161
"video game"	0.0473037
barrel	0.0472803
"soda can"	0.0472126
tube	0.046978
tablet	0.0468545
air-conditioner	0.0467715
"spark plug"	0.0467154
nightstick	0.0466207
"body part"	0.0466008
uranium	0.0463893
slingshot	0.0463581
gunpowder	0.0462048
headphone	0.0461663
baton	0.0460736
"railroad car"	0.0460259
"delivery truck"	0.0458801
notebook	0.0456683
PCI	0.0456597
laptop	0.0456494
connector	0.045641
button	0.0454201
packet	0.0453967
"water bottle"	0.0452118
ink	0.045153
decoder	0.0451461
"light bulb"	0.0451324
"business card"	0.0450797
warhead	0.0450571
"gasoline bomb"	0.0450188
watermark	0.0445616
plastic	0.0445272
paraphernalia	0.0445155
fragment	0.0443375
screwdriver	0.0443077
slipcover	0.0442506
landmines	0.0441869
joystick	0.0441647
"cluster bomb"	0.0441159
calculator	0.0440853
"cigarette butt"	0.0440396
recorder	0.0439991
backpack	0.0439015
"CD player"	0.0438979
valve	0.0437031
satchel	0.0436702
syringe	0.0435686
footage	0.0435677
Kleenex	0.0435051
"sheet of paper"	0.0435001
"solar cell"	0.0434654
"heavy weapon"	0.043384
Coin	0.0432934
tile	0.0432928
"season ticket"	0.0432394
"tv set"	0.0431757
briefcase	0.0431094
torpedo	0.0430529
))
(cartwheel (desc 1160.57) (sims
crawling	0.0764187
striptease	0.0756998
meanderings	0.0710097
two-step	0.0690808
hunker	0.0683916
"civic duty"	0.0672726
pushup	0.0654057
calisthenics	0.0653538
"space walk"	0.0624314
floater	0.060984
somersault	0.0608187
fisticuffs	0.0593596
"end run"	0.0588796
"sea lane"	0.0586816
pirouette	0.0561005
Rigoletto	0.0558514
"belly dancer"	0.0548558
werewolf	0.0547912
upfield	0.05413
"triple play"	0.0530562
Brasil	0.0514027
placing	0.0508442
punctuality	0.0506716
lutz	0.0503963
"health check"	0.0502463
"female body"	0.050078
Partway	0.0500583
whistle-blower	0.0498192
"storm cloud"	0.0498035
"bowling ball"	0.0494445
obeisance	0.0493916
"gas plant"	0.0490355
bends	0.0486946
pantomime	0.0483205
Caesarean	0.0483083
jig	0.0481742
"missionary work"	0.0481296
thespian	0.0479991
whistleblower	0.047689
"security consultant"	0.0474797
"roller skate"	0.0472196
plowing	0.0471122
gargoyle	0.0468091
"cold shoulder"	0.0467031
cannibal	0.046671
"lynch mob"	0.0462917
computation	0.0461949
bullfight	0.0460263
paring	0.0453063
attentiveness	0.0452964
"manual labor"	0.0451987
"retail operation"	0.0447952
Tables	0.0447339
"power cable"	0.0447169
flogging	0.0445241
"double agent"	0.0444537
u-turn	0.0442285
"damage control"	0.0439836
walk-through	0.0438931
vasectomy	0.0438286
"four @-pointers"	0.0437119
"dance step"	0.0432468
thunderbolt	0.0432072
perplexity	0.0431538
"dust storm"	0.0430173
"car race"	0.0430046
"gambling casino"	0.0429376
Giza	0.0429282
acrobatics	0.0427785
"Dirty Bird"	0.0427163
feint	0.0426703
colloquy	0.0426345
motoring	0.0421321
triage	0.042108
lashing	0.0417867
"easy chair"	0.0414963
reappraisal	0.0414777
"Hail Mary"	0.0413802
"virgin forest"	0.0411986
coursing	0.0408042
flamethrower	0.040573
"admission fee"	0.0405349
CPR	0.0402227
stallion	0.0400211
))
(Cartwright (desc 1639.04) (sims
Menchu	0.0991197
Sheehy	0.0969946
Baugh	0.086688
Hitchens	0.0839703
Faget	0.0833661
Kodikian	0.0820666
Yastrzhembsky	0.0819356
Schaeffer	0.0814533
Hersh	0.079763
Swenson	0.0793491
Guralnick	0.0724354
Kasoulides	0.0723865
Chappell	0.0708898
Meguid	0.0707559
Esser	0.0706119
Remnick	0.0692135
Borodin	0.0685304
Mikhailov	0.0675348
Fuhrman	0.0674942
Kasyanov	0.0671876
Kern	0.0671393
Schaeuble	0.0661079
"Wole Soyinka"	0.0659088
Kalejs	0.065327
Yazdi	0.0650715
Gutman	0.0649867
Jovanovic	0.0643954
Naumann	0.0643937
Joklik	0.0641208
Kidder	0.0640918
Cleese	0.0638931
Wolff	0.063601
Cornwell	0.0632284
Weiner	0.0630391
REEVE	0.0629878
Rivlin	0.062058
Schiff	0.0618729
LeBlanc	0.061362
Luethke	0.0607144
Vasquez	0.0598189
Maslyukov	0.0594489
Kushner	0.059402
Weil	0.0593842
Gosper	0.0593794
Galvin	0.0592206
Hamlin	0.0590448
Turetzky	0.058634
Northup	0.0584338
Reimer	0.0582635
Felton	0.0582143
Demaci	0.058062
Bryson	0.0579024
Vogel	0.0578023
Halberstam	0.0576573
Rothman	0.0576456
McCormack	0.0576206
Bruton	0.0575607
Glaser	0.057392
Ginsburg	0.0572131
Hatfield	0.0569601
Ruehe	0.0568535
Westendorp	0.0567204
Pippig	0.0567118
Halloran	0.0567094
Grasso	0.0565442
Pryor	0.0563555
Wenger	0.0560744
Gooding	0.0559027
Skiles	0.0558774
Junger	0.0557928
Sorkin	0.0557553
Montiel	0.0556769
Pugh	0.0554543
Lehrer	0.0552523
Salinger	0.0552194
Bulatovic	0.0552036
Broaddrick	0.0552026
Prewitt	0.0551235
Einhorn	0.0549319
Cooley	0.0549124
Horner	0.054754
Shayler	0.0547167
Horowitz	0.0545759
Brittan	0.0545403
Fassett	0.054342
Boueiz	0.0543224
"Wendy Wasserstein"	0.0542636
Bove	0.0539539
Rosenbaum	0.0538679
Pearce	0.0537647
Ono	0.053465
Solzhenitsyn	0.0534369
Goff	0.0534319
Zadornov	0.0534128
Kazhegeldin	0.053385
Cleary	0.0532666
Ebersol	0.0532088
Sassa	0.0531644
"Maturino Resendiz"	0.0530317
Allchin	0.052934
Jayakumar	0.0529256
Garza	0.0529135
Sobel	0.0528485
Falk	0.0526807
DERSHOWITZ	0.052674
Tevanian	0.0524785
Hwang	0.05243
Condon	0.0524002
Carrera	0.0522076
Tsvangirai	0.0520446
Mudge	0.0520344
Arnett	0.051891
Mohr	0.0517164
Ikimi	0.0516793
Eizenstat	0.0516706
Hubbard	0.0516604
Schmalensee	0.0516436
Ogden	0.051537
leeson	0.0514223
Blume	0.0508041
DeFrantz	0.0507832
Rodionov	0.0507265
Bakaly	0.0506983
Rudenstine	0.0506255
Hiett	0.0504983
Rowan	0.0503864
Muir	0.0503191
Silverstein	0.0502657
Ohlmeyer	0.0501821
Margolis	0.0501798
Izetbegovic	0.0501303
Longo	0.0500978
Ciampi	0.0500421
Insulza	0.0500337
Slater	0.0498844
Podesta	0.0498756
Avila	0.049842
McCurry	0.0497737
Tuttle	0.049748
Echols	0.0497258
Tarawneh	0.0494406
Sumaye	0.0493665
Goldin	0.0492591
lauder	0.0490339
Kerik	0.0488658
Stayner	0.0488569
Hurley	0.0486911
"Dennis Hopper"	0.0486712
Verniero	0.0486651
Weinberg	0.0486525
BARNICLE	0.0485903
Skuratov	0.0485141
Rubenstein	0.0484942
Baird	0.0484895
Hanley	0.0483176
Darnell	0.0482261
Donnelly	0.0479229
Bellamy	0.0479163
Guan	0.0478865
Conroy	0.0478835
Triplett	0.04773
Pryce	0.0477026
"Terrence McNally"	0.0476767
Gerardi	0.0474459
Epstein	0.0473608
Merkel	0.0473144
Vialli	0.0472741
Katsav	0.0472652
Benedetti	0.0471097
Maritz	0.0470809
Hofer	0.0470779
Bizimungu	0.0470557
Ruelas	0.047038
Britton	0.0469978
Yandarbiyev	0.046833
Jorgensen	0.0468201
Aventajado	0.0468132
Cusack	0.0468024
"Gillian Anderson"	0.0467683
Montalvo	0.04676
Hauser	0.0467254
McKenna	0.0467193
Krugman	0.0466403
Shulman	0.0466104
Noonan	0.046591
Barksdale	0.0465904
Herman	0.0465766
Valenti	0.0464886
Sharma	0.0464199
Patten	0.0462805
Isner	0.0462311
LaBute	0.0462123
Tsang	0.0462063
Husseini	0.0462012
Liao	0.0461063
Fagan	0.046055
Cianci	0.0459884
Rudman	0.04594
Lipstadt	0.0458772
Maynard	0.0458334
))
(Caruso (desc 2810.59) (sims
Bocelli	0.102553
Calla	0.100047
Martorano	0.0995169
Bautista	0.0976574
Blackthorne	0.0871093
Valenzuela	0.0838652
"Hack Wilson"	0.0836916
Bakaly	0.082945
Rodionov	0.0817015
Autry	0.0798567
Gutman	0.079655
Puente	0.0774385
Farah	0.0760573
Swango	0.0748222
Spiers	0.074645
"Maturino Resendiz"	0.0743077
Agca	0.0733961
Sprague	0.0727231
Vasquez	0.0724562
Baucus	0.07244
Pryor	0.0720485
Bartoli	0.0717687
Iger	0.0716738
Samuelson	0.071459
Nikitin	0.070973
Shipman	0.0706251
Fiorina	0.0706116
Biden	0.0703417
Whitacre	0.0697399
Giacchetto	0.0697125
McGill	0.0694791
Abernathy	0.0688436
Brownlee	0.0685071
Rolen	0.0684252
Berenson	0.0683978
Shinn	0.0682965
DiSarcina	0.0682781
Tomlinson	0.0679776
DeShields	0.0676887
Nilsson	0.0676625
Jelisic	0.0675541
hough	0.0674431
Mikhailov	0.0673665
Gannon	0.0672037
Stayner	0.0669619
Ripken	0.0669197
Baumhammers	0.0668124
Kodikian	0.0666408
Carneal	0.0665139
Esiason	0.0664886
Abreu	0.066302
Boesak	0.0662534
Esposito	0.0662189
DiCarlo	0.0661937
Dunleavy	0.0660724
Zambrano	0.0658982
Halloran	0.0653735
Markhasev	0.0652994
"Russell Peeler"	0.0649002
nance	0.0648504
Talebi	0.0648444
Musa	0.064678
Rowe	0.0644139
Manbar	0.0643532
Elgar	0.064332
Vidro	0.0641717
Carruth	0.0640991
Heppner	0.0640272
Tran	0.0638953
Ftorek	0.0638796
MacKay	0.0638532
Bernstein	0.063818
Skakel	0.0635578
Fagan	0.0634181
Kambanda	0.0633481
Vogel	0.0633347
Marinovich	0.0633265
Espinosa	0.0632972
"Deutsche Grammophon"	0.063279
Salemme	0.0630364
Mudge	0.0630273
Conte	0.0630083
Kaczynski	0.0629663
Castillo	0.0629465
Bordick	0.0624268
Tatis	0.0623104
Elhage	0.0621671
Kagalovsky	0.0620227
Greer	0.0619908
Strauss-Kahn	0.0618635
Solomon	0.0618219
Khalil	0.0617926
McDuffie	0.0614267
Ozawa	0.0613499
Hamid	0.0612012
Ng	0.0611994
Cliburn	0.0610872
McKinney	0.0609723
Kalejs	0.0609664
Lacresha	0.0608278
Cianci	0.0608034
Gullit	0.0607094
Dukakis	0.0605944
Welch	0.0604082
Lundy	0.0604029
Yoo	0.0602632
Havelange	0.0602327
Varitek	0.0600036
Mueller	0.0599345
"Griffith Joyner"	0.0599254
Maris	0.059898
Limon	0.0597788
Drabinsky	0.0596932
Spector	0.0596013
Mellencamp	0.0595699
Hiett	0.0595562
Dion	0.0594413
shoemaker	0.0594357
Kornberg	0.0593276
Spellman	0.059284
Mendez	0.0592766
Popovich	0.0590779
Willard	0.0590453
Hersh	0.0587861
Fortier	0.058621
Ciampi	0.0585348
"Billie Holiday"	0.0584863
Fleming	0.0583736
Neulander	0.0583517
Pavarotti	0.0583513
Simone	0.0583305
"Lloyd Webber"	0.0583105
Lafleur	0.0582455
Capano	0.0582188
Wilson	0.0581614
Mitnick	0.0581377
Perec	0.0581125
Cleese	0.0580951
furrow	0.0579005
Copeland	0.057884
McGinn	0.0578503
Vizquel	0.0577082
Lileikis	0.0576156
Fullmer	0.0575757
Boulez	0.0573984
Agbayani	0.0570838
Cole	0.0568579
Gritz	0.056857
Paciello	0.0568558
Kinkel	0.0568493
Farris	0.05673
Cisneros	0.0567246
Hatfield	0.0567209
Zuma	0.0567157
Glanville	0.056684
Easley	0.0566412
Alicea	0.0566366
Guthridge	0.0563903
Iliescu	0.0563733
Cline	0.056322
Soliah	0.056178
Springsteen	0.0561106
Cirillo	0.0560228
Grossberg	0.0560031
Garofalo	0.0559799
Burks	0.0559263
Velarde	0.0559151
Hickman	0.055899
Osborne	0.0558821
Ruehe	0.0557874
Brunner	0.0557749
Choi	0.0556156
Glover	0.0556044
Sassa	0.0556023
Womack	0.0555521
Peters	0.0555191
Romer	0.0555134
Siegel	0.0555043
Lafontaine	0.05549
Nolan	0.0554139
Winkler	0.0551785
Borodin	0.055157
"Kevin Jordan"	0.0551259
Brennan	0.055065
Furcal	0.0549986
Presley	0.0549451
Kiareldeen	0.0549319
Pirro	0.0549046
Henderson	0.0548193
Schmitz	0.0547697
Velayati	0.0547488
Dodik	0.054641
Meeks	0.0546243
Baerga	0.054608
Priebke	0.0545297
Morrison	0.0544532
Trie	0.0542019
Lennon	0.0540649
Giambi	0.0540647
Jaffe	0.0540319
))
(carver (desc 5778.15) (sims
Wasserstein	0.067149
sculptor	0.0658182
craftsmen	0.0633427
potter	0.0606033
Marchand	0.0603739
krueger	0.0586973
Webster	0.0579574
artisan	0.0576176
cabinetmaker	0.0572279
Mucha	0.0566369
Rove	0.0547616
Abram	0.0545208
Fiorina	0.0544095
Redgrave	0.0529501
Sibley	0.0528595
Hemingway	0.0527516
Liston	0.0526924
Tilberis	0.0523461
Presley	0.052091
pressman	0.0520553
Schulz	0.0517926
Hartman	0.0514593
Kurtz	0.0513562
Lindbergh	0.0511792
Menchu	0.0510947
painter	0.0505966
Holzman	0.0501966
Rosenberg	0.050035
Ricart	0.0499771
Griffith	0.049668
RFK	0.0493695
Cline	0.0492599
Rockefeller	0.0488996
"JFK Jr."	0.0488036
Maynard	0.0485818
craftsman	0.0485686
Newhouse	0.0485248
Frick	0.0483454
Lilco	0.0478853
Donnelly	0.0478135
Lurie	0.0474479
Pierson	0.0473642
Merritt	0.0470597
Jensen	0.0470488
Levin	0.0469269
Flockhart	0.0468862
mathematician	0.0468549
Gachet	0.0468295
Capano	0.0465097
violinist	0.0464025
Tito	0.0463508
Kaufman	0.0463275
lexicographer	0.0461739
Melrose	0.046103
Tate	0.0460315
Farley	0.0459452
bullock	0.0459333
Rothschild	0.045574
Diller	0.0455012
Mapes	0.0452912
Lowry	0.0449694
Norton	0.0448367
Dahmer	0.0447402
Parsons	0.0445567
Lawrence	0.0443182
Greenwald	0.0442808
Vogel	0.0441643
Sutton	0.0441618
Borges	0.0441158
"Thermo Electron"	0.0438208
Dandridge	0.0437578
Ftorek	0.0436696
Allende	0.0436689
marksman	0.0436588
BankBoston	0.0435888
Coolidge	0.0434516
Farber	0.0434436
Salinger	0.0434432
Jacob	0.0434294
Blackmun	0.0434125
Burroughs	0.0432587
Herrera	0.0430187
Emery	0.0428698
Shepard	0.0428247
raconteur	0.0427319
Tuinei	0.042721
Cassidy	0.042527
Crawford	0.0424439
Costin	0.0423657
Weis	0.0422095
calligrapher	0.0420428
Naipaul	0.0419968
blacksmith	0.0418448
Hart	0.0417348
communicator	0.0416548
Hatfield	0.0416203
weaver	0.0415324
Selena	0.0414438
Fitzgerald	0.0412434
Steinberg	0.0410951
Ballard	0.0410649
ornithologist	0.0409538
PLDT	0.0409314
plumber	0.0408619
Baez	0.0408364
Powell	0.0408248
Godwin	0.0407134
Goldstein	0.0406909
"Modern Library"	0.0406571
Starovoitova	0.0406461
O'Hara	0.0405836
Ackerman	0.0405681
Rosenthal	0.0405151
Slepian	0.0405132
Kubrick	0.0405027
Mullen	0.0404501
Playwright	0.0404227
Busch	0.0404144
Blum	0.0404037
Weston	0.0402879
Fairbanks	0.0402577
Landry	0.0402519
Grisham	0.040213
Abiola	0.0401694
Gallo	0.0401382
YPF	0.0401259
Dorismond	0.040032
))
(Carville (desc 2620.71) (sims
Tarawneh	0.108735
Rubenstein	0.100488
"Mike McCurry"	0.0981555
Myhrvold	0.0975876
McCurry	0.0966161
Yastrzhembsky	0.0961251
Talebi	0.0958242
Jayakumar	0.0947575
Jovanovic	0.0943162
Jaffe	0.0939747
D'Alessandro	0.0936341
Rivlin	0.0923553
Postol	0.0913009
Lehane	0.0906556
Alatas	0.090399
Rutherford	0.0888791
Silverstein	0.0867216
Nicholson	0.0866273
Rosenthal	0.0857424
Lessig	0.0854503
Kinkel	0.0849849
Sobel	0.0848014
Cianci	0.0845656
Wilhelm	0.0840069
Goldin	0.0839319
Bulatovic	0.0834855
Wolff	0.0833147
Paxon	0.0832928
Mahoney	0.0815388
Finkel	0.0813328
Khalil	0.0806059
Ruehe	0.080562
Posner	0.0804531
Rudman	0.0800885
Hirsch	0.0800196
Sheehy	0.0799559
Azizah	0.07968
Hanley	0.0793967
Meyers	0.0793739
Hybl	0.0792579
Kaplan	0.0778499
"Bob Shrum"	0.077121
Regan	0.0769153
Luzhkov	0.0768665
Barksdale	0.0761873
Chevenement	0.0760842
Loeb	0.0760336
Ciampi	0.07592
Lowry	0.07588
Cleary	0.0757753
Cleese	0.0755138
Demaci	0.0754624
Zwick	0.0753049
Insulza	0.0750876
Kulikov	0.0748724
"de Charette"	0.0742604
Bizimungu	0.074235
Eubanks	0.074152
Bettman	0.0741261
Whipple	0.0740942
Engler	0.0736464
Ickes	0.0734352
Ritter	0.0734003
Reiner	0.0732043
Pollack	0.0731049
Piot	0.0729187
Gullikson	0.0728625
Biffle	0.0726523
Lafontaine	0.0725585
Hayden	0.072405
Daschle	0.0723994
O'Reilly	0.0723776
Biden	0.0723561
Nickerson	0.0722291
Iglesias	0.0721287
Barlow	0.0719405
Mandelson	0.071872
Bruton	0.0718214
Zuckerman	0.0712407
Fleischer	0.0712319
Erwin	0.071195
Krugman	0.0711032
MacKay	0.0710143
Prewitt	0.0709293
Bildt	0.0708972
Ferrer	0.0708577
Mikhailov	0.0708087
Leahy	0.0707415
Caddell	0.0706488
Mustafa	0.0704428
Merritt	0.0704018
Strauss-Kahn	0.0700772
Hauser	0.0700584
Camdessus	0.0699775
Lockhart	0.0699597
Zuma	0.06988
Hickman	0.0697418
Malu	0.0694921
Lowery	0.0693494
Schell	0.069293
Greenwald	0.0689683
Dougherty	0.0687826
Milutinovic	0.0687032
DiCicco	0.0686181
Moser	0.0685474
Manley	0.0685324
Hevesi	0.0684969
"George Will"	0.0681467
LeBlanc	0.0679644
Boueiz	0.0678307
Rollins	0.0677531
COYNE	0.0676705
Ebersol	0.0672479
Kasoulides	0.067209
Yazdi	0.0671715
Vialli	0.0670999
Okada	0.0668999
Husseini	0.0668822
Nugent	0.0668299
Berlusconi	0.0666786
Donohue	0.0666784
Callaghan	0.0666589
Brundtland	0.0665753
Molinari	0.0665699
Rosenberg	0.0665055
Sponeck	0.066465
Gillespie	0.0664343
Gutman	0.0663412
McNamara	0.0662446
Nasrallah	0.0658958
Zou	0.0657116
Juppe	0.0656337
Pearce	0.06562
Poplasen	0.0655535
TALBOT	0.0653584
"administration official"	0.0652788
Sassa	0.0652199
"Dan Schnur"	0.0651601
Patten	0.0650635
Gilman	0.0650623
Osborne	0.0649745
Arum	0.0649119
Robertson	0.0648462
Blatter	0.0647987
Beckwith	0.0645962
Stoyanov	0.0645624
Setzer	0.0645487
Morris	0.0645085
Groscost	0.0645055
Bowles	0.0644063
Yadav	0.0643005
Schiff	0.0642898
Hartsburg	0.0642706
Borrego	0.064259
Markovic	0.064245
Durant	0.0642306
Ainge	0.0641918
Bolger	0.0641325
Healy	0.0641028
Flanagan	0.0639628
Rashid	0.0637545
Harding	0.0635721
Shamshad	0.0635195
Torricelli	0.0634759
Zucker	0.0634646
Ashrawi	0.0633716
Zeng	0.063349
Fuhrman	0.0633013
Weil	0.0632661
Sarsour	0.0628602
Carlin	0.0627361
Soyinka	0.0625769
Weinberg	0.0625628
Hahn	0.062554
Triplett	0.0625429
Stephens	0.062485
Kerrigan	0.0624462
Kaye	0.0624068
Hurley	0.0623025
Engelberg	0.062299
Blumenthal	0.0622837
Shevardnadze	0.0622759
Raitt	0.0622356
Connolly	0.0621215
McConnell	0.0620448
Locke	0.0620395
Macdonald	0.0620059
Blackwell	0.062004
Shattuck	0.0619114
Mudge	0.0618856
Pangalos	0.0618374
Aurelio	0.0616738
Schaeffer	0.0616533
craven	0.0615766
Modell	0.0615693
"Ralph Reed"	0.061559
Grossman	0.061508
O'Connell	0.0615008
LaPierre	0.0614875
Meissner	0.061472
))
(carving (desc 22695.1) (sims
sculpture	0.173928
Pottery	0.161089
fresco	0.136459
ceramic	0.131992
painting	0.129304
figurine	0.126089
porcelain	0.123404
statue	0.118553
jade	0.116868
lacquerware	0.116481
handicraft	0.115446
engraving	0.112999
calligraphy	0.112791
"oil painting"	0.110419
metalwork	0.109482
artifact	0.108984
embroidery	0.108165
jewelry	0.0997475
mural	0.0987161
bronzeware	0.0979341
ornament	0.0960731
inscription	0.0942272
mosaic	0.0940285
relic	0.0935095
ware	0.093267
drawing	0.0932186
stele	0.093168
"wall painting"	0.0929747
artwork	0.0924181
tile	0.0918549
furniture	0.0915698
antique	0.0914786
statuary	0.0904313
vase	0.0902319
tapestry	0.0872719
"musical instrument"	0.0870749
lacquer	0.0860023
chandelier	0.0810896
"work of art"	0.0804079
decoration	0.0803477
grotto	0.0801723
watercolor	0.0790408
object	0.0779557
stone	0.0775148
vas	0.0771002
quilt	0.0768939
furnishings	0.0766128
portrait	0.0764017
glassware	0.0756639
bead	0.0751422
earthenware	0.0749747
Coin	0.0732648
tablet	0.0727483
lamp	0.072564
urn	0.0725487
stoneware	0.0722782
wares	0.0720711
rug	0.0718348
architecture	0.0718223
utensil	0.0711557
statuette	0.0710355
photograph	0.0706617
manuscript	0.0704143
crucifix	0.0702305
"stained glass"	0.0696198
collage	0.0695388
curio	0.068848
"folk art"	0.0687386
art	0.0685723
textile	0.0679717
fossil	0.0678552
tomb	0.0675042
marble	0.0665885
fragment	0.0655354
lantern	0.0655352
skeleton	0.065479
monument	0.0652355
piece	0.0650499
facade	0.0650318
mask	0.0649834
sketch	0.0643287
poster	0.0642986
frieze	0.064291
fountain	0.0633692
bronze	0.0630204
"still life"	0.0624091
sutras	0.0616449
wallpaper	0.0615713
carpet	0.0613972
treasure	0.0610038
woodcut	0.0609532
molding	0.0607603
replica	0.0606919
pagoda	0.0606798
reproduction	0.0605004
costume	0.0595572
plaque	0.058878
brick	0.0584936
memorabilia	0.0584932
pendant	0.0581232
mummy	0.0579869
woodworking	0.0573705
cloth	0.0570015
etching	0.0568373
altar	0.0567161
fireplace	0.0566019
photography	0.0565699
Buddha	0.0564404
cutting	0.0558576
plaster	0.0557124
glass	0.0554438
flower	0.0551807
arch	0.0544033
silk	0.0542229
antiquity	0.0540159
craft	0.0538674
jewellery	0.0533724
mirror	0.0532713
bone	0.0532409
specimen	0.0532124
cave	0.0531754
coffin	0.0529683
Pearl	0.0528675
tattoo	0.0527714
fabric	0.0526931
rendering	0.0525317
paneling	0.0523114
"historical document"	0.0518973
cutout	0.0518592
necklace	0.0517792
ornamentation	0.0515999
woodwork	0.0515916
staircase	0.0514787
map	0.0513162
toy	0.0513024
amulet	0.0512271
doll	0.0510879
collection	0.0509669
icon	0.0509243
item	0.0509055
candelabra	0.0507727
poem	0.050742
"fine art"	0.0507243
garment	0.0504631
enamel	0.0502761
"wall hanging"	0.0501534
accessory	0.0501361
illustration	0.0501227
"stained-glass window"	0.049935
slab	0.0499247
armor	0.0497702
decor	0.0497396
Shell	0.0496737
Dome	0.0496295
gem	0.0493106
craftsmanship	0.0491729
scroll	0.0490846
Clothing	0.0485847
photo	0.0484838
lithograph	0.0483143
silver	0.0482331
dragon	0.0481316
"building material"	0.0480658
landscaping	0.0478358
motif	0.0475286
headdress	0.0475022
beading	0.0474945
crystal	0.0474888
dish	0.0474626
"picture frame"	0.0472564
slicing	0.0471047
silverware	0.0470905
kiln	0.0469042
garden	0.0469003
"precious metal"	0.0468946
archway	0.0468713
wreath	0.0468672
stucco	0.0468375
diorama	0.0467738
graffiti	0.0467678
jewel	0.0467051
arrowhead	0.0466667
footwear	0.0466375
Casket	0.0466361
flooring	0.0465811
pyramid	0.0464548
candle	0.0463476
footprint	0.0462598
memento	0.0462115
scenery	0.0461971
Castle	0.046178
dwelling	0.0460924
shard	0.0459252
bamboo	0.0458897
"wedding cake"	0.0458366
assemblage	0.0457825
spire	0.0457771
fur	0.0457768
"art collection"	0.0456864
knife	0.0455666
))
(Cary (desc 2640.27) (sims
Benedetti	0.0991772
Kris	0.0930064
Mucha	0.0796588
Pape	0.0795234
"Rocky Mount"	0.0784879
TARBORO	0.0780587
"Mount Pleasant"	0.0768878
Briscoe	0.0766459
Ashrawi	0.0762527
Lockwood	0.074461
Cornelius	0.0743207
COYNE	0.0741149
Cleary	0.0740893
Salisbury	0.0738557
Grasso	0.0737305
Brazill	0.0731399
"High Point"	0.0724133
Durham	0.0715042
Bishara	0.0707936
Andrews	0.0704108
Stayner	0.0702297
Fiorina	0.069652
Menchu	0.0695633
Winston-Salem	0.0694694
Hadley	0.0690929
Jaffe	0.0686824
"Camp LeJeune"	0.0682007
Greenwald	0.0678415
Cline	0.0676463
Mcbride	0.0676179
"Research Triangle Park"	0.0674474
Flockhart	0.0669052
Vasquez	0.0661622
Smithfield	0.0652533
ASHEVILLE	0.0652204
Yoon	0.0649076
Pearce	0.0647496
Kingsley	0.0642876
Merritt	0.0639218
McDonnell	0.0637356
Edson	0.0636403
Pierson	0.0634308
O'Hara	0.0631391
Deneuve	0.0630631
Tuttle	0.0625102
Chenoweth	0.0620233
Kirkpatrick	0.0619093
Hamlin	0.0618326
Horace	0.0615431
Neal	0.0613158
Brazile	0.0611323
Mckee	0.0606609
Meston	0.0606598
Abram	0.0606521
Raleigh	0.0605922
Mortimer	0.0605281
Bragg	0.0605098
Henning	0.0604988
Fink	0.060384
FitzPatrick	0.0598371
Britton	0.0595605
Bessette	0.0594889
Byrne	0.0594518
Alves	0.0593299
Biden	0.0591904
"Maturino Resendiz"	0.0589545
Jeffers	0.0588017
Kurtz	0.0586965
Orton	0.0586568
Janssen	0.0585757
Latham	0.0584702
Ruehe	0.0582986
Goldstein	0.0581942
Shulman	0.0581366
Rivlin	0.0577867
Ciampi	0.0576913
Greco	0.0576695
Reiter	0.057596
Ackerman	0.0573876
Sommer	0.0573569
Greensboro	0.0571912
Ono	0.0569763
Swenson	0.0566318
"Fort Bragg"	0.0561941
Farber	0.0561413
Stacy	0.0560239
Boone	0.0558548
Carey	0.0558133
Paterson	0.0557727
Wilhelm	0.0556725
LeFave	0.0555277
Maher	0.0555067
Bridgewater	0.0554422
Barad	0.0553923
Bisek	0.0553574
Meissner	0.0552825
Roberson	0.0551805
Nasrin	0.0551721
Arron	0.0550847
Rowley	0.0550503
Morley	0.0549747
Morristown	0.0549535
Massey	0.0549396
Rodionov	0.0549044
Nilsson	0.0548516
Margolis	0.0547271
Markovic	0.0546275
Naumann	0.0544974
Molinari	0.0544824
pressman	0.0544553
Upshaw	0.0543932
Berenson	0.0543037
Schafer	0.0542954
Sorensen	0.0541442
Grunwald	0.054113
Princeville	0.0541031
Goldin	0.0539055
Quintero	0.0538326
Garber	0.0537486
Marquez	0.0535647
Gaston	0.0534923
Baez	0.0534018
Boardman	0.0532669
Adkins	0.0531446
Fushun	0.0531186
Lowry	0.0530962
Koskinen	0.0530903
Shannon	0.052977
"Pitt County"	0.0528997
Wiggins	0.0528914
Weston	0.0528419
Bradshaw	0.0528271
Dunham	0.0527071
Kiareldeen	0.0526582
Moroni	0.0526083
Carmichael	0.0525848
Lurie	0.0524998
Marceau	0.0524782
Whaley	0.0524248
Noe	0.0523043
Soliah	0.0521401
Musa	0.0521074
Kagalovsky	0.0521028
Arens	0.0520818
Knapp	0.0520524
Rockingham	0.0519189
Mendez	0.0518359
Manley	0.0517089
Midler	0.0516678
"de Charette"	0.0516282
Mott	0.0516244
Taymor	0.0515347
Rosen	0.0514796
Farley	0.0514143
Cohn	0.0513723
Rubenstein	0.0513611
Sheehy	0.0513324
Lange	0.0509091
Shelby	0.0508228
Tsvangirai	0.0507037
Baumhammers	0.0506099
Donohue	0.0505871
Jenoff	0.0505072
Stratford	0.0504938
Ziegler	0.0504116
Portnoy	0.0503547
Egan	0.0503177
Hagen	0.0503042
Wasserstein	0.0501906
"Round Rock"	0.05007
Odeh	0.0498511
Farrell	0.0498417
Fayetteville	0.0496471
Wilmington	0.0494517
Herndon	0.0493144
Annette	0.0492678
Patten	0.0492159
Godfrey	0.0491692
Dowd	0.0491302
Thomasville	0.0490858
"Cherry Hill"	0.0489035
Ershad	0.0488279
Kron	0.0488176
Rosenthal	0.0488103
McPherson	0.0488002
MacArthur	0.0487668
Kahn	0.0486287
Feldman	0.0486253
Meeks	0.0485577
Leventhal	0.0485489
Chu	0.0485465
Tevanian	0.0484559
Bassett	0.048415
Chukwu	0.0484131
Rowe	0.0483194
Betts	0.0483169
Cacak	0.0483163
"Chapel Hill"	0.0482964
Ricart	0.0482806
Seligman	0.048275
))
("Cary Grant" (desc 4124.19) (sims
"Gregory Peck"	0.291255
"Humphrey Bogart"	0.247657
"Spencer Tracy"	0.21639
"Gary Cooper"	0.190674
"Clark Gable"	0.183412
"Jimmy Stewart"	0.177914
"Grace Kelly"	0.174911
"Audrey Hepburn"	0.172779
"James Stewart"	0.171592
"Burt Lancaster"	0.168685
"Ava Gardner"	0.158366
"Henry Fonda"	0.154699
"Errol Flynn"	0.15152
"Bette Davis"	0.147029
"James Cagney"	0.142406
"John Wayne"	0.13836
"Vivien Leigh"	0.133784
"Bing Crosby"	0.133783
"Katharine Hepburn"	0.123223
"Marlene Dietrich"	0.119772
"Joan Crawford"	0.114507
"Lana Turner"	0.111625
"James Dean"	0.110764
"Ingrid Bergman"	0.109264
"Charlie Chaplin"	0.108788
"Bob Hope"	0.106784
"Fred Astaire"	0.100784
"Jack Lemmon"	0.0967848
"Lucille Ball"	0.0931498
"Elizabeth Taylor"	0.0895923
"Gene Kelly"	0.0890091
"Marlon Brando"	0.0879411
"Marx Brothers"	0.0878066
"Groucho Marx"	0.0870097
"Sammy Davis Jr."	0.0862776
"Marilyn Monroe"	0.0837744
"Orson Welles"	0.0788911
"Greta Garbo"	0.0788113
"Buster Keaton"	0.0777135
"Lauren Bacall"	0.0775433
"Jack Nicholson"	0.0770882
"Charlton Heston"	0.076468
"Clint Eastwood"	0.07554
"Robert Redford"	0.07296
"Kirk Douglas"	0.0724979
"Elvis Presley"	0.0705085
"Sylvester Stallone"	0.0702247
"Rob Lowe"	0.0685229
Costner	0.0675215
"Barbra Streisand"	0.0670823
"Demi Moore"	0.0667991
"Paul Newman"	0.0662436
"Steve McQueen"	0.0638564
"W.C. Fields"	0.0638532
"Wesley Snipes"	0.0637379
"Martin Sheen"	0.0630782
"Judy Garland"	0.0622779
"Sally Field"	0.0609792
"Richard Burton"	0.0606906
"Roy Rogers"	0.0603351
"Alicia Silverstone"	0.0602682
"Jamie Lee Curtis"	0.0600206
"Julia Roberts"	0.0599343
"Jessica Lange"	0.0596157
"Alfred Hitchcock"	0.0592219
"Harrison Ford"	0.0591809
"Martin Lawrence"	0.058428
"Matthew Broderick"	0.0582986
"Sidney Poitier"	0.0572627
"Sophia Loren"	0.0571479
"Richard Gere"	0.0569774
"Keanu Reeves"	0.056919
"Aidan Quinn"	0.0568577
"Frank Sinatra"	0.0568186
"Milton Berle"	0.0566581
"Jackie Chan"	0.056007
Hirohito	0.0557391
"Mae West"	0.0557195
"Jane Fonda"	0.0555946
"Sean Connery"	0.0554133
"Albert Brooks"	0.0554055
"Richard Dreyfuss"	0.0552161
"Jacqueline Kennedy"	0.0548589
"Jeremy Irons"	0.0547258
"Albert Finney"	0.0546601
"Tracey Ullman"	0.054103
"Dean Martin"	0.0534949
Liberace	0.0533431
"Eddie Murphy"	0.0531339
"Sela Ward"	0.0530313
"Ingmar Bergman"	0.0529036
"Burt Reynolds"	0.0528984
"AL PACINO"	0.0528319
"Lethal Weapon"	0.0527975
"Joan Allen"	0.0526697
"Brad Pitt"	0.0526099
GERE	0.052538
"Mark Wahlberg"	0.052519
"Nicole Kidman"	0.052239
"Kim Basinger"	0.0522274
"Brooke Shields"	0.0521615
"Ella Fitzgerald"	0.0517993
"Ewan McGregor"	0.0517933
"Jodie Foster"	0.0516128
"Ray Romano"	0.0513073
"John Gielgud"	0.0511306
Keaton	0.0511052
"Michael Douglas"	0.0509129
"Dustin Hoffman"	0.0506943
"Arnold Schwarzenegger"	0.0505317
Bogart	0.0505068
"Jim Carrey"	0.0504706
"Kevin Costner"	0.0504316
"Patrick Stewart"	0.0499741
"Julie Andrews"	0.0499109
"Melanie Griffith"	0.0497608
"Harvey Keitel"	0.0497433
"Carol Burnett"	0.0495993
lassie	0.0495576
"William Hurt"	0.0495382
"Samuel L. Jackson"	0.0494559
"Kirsten Dunst"	0.0493505
"Frank Capra"	0.0492656
"Ethan Hawke"	0.0488059
"Steve Martin"	0.0485634
"Chevy Chase"	0.0484476
"Sigourney Weaver"	0.0484306
"Michael J. Fox"	0.0483196
"Pierce Brosnan"	0.0482668
"Christopher Reeve"	0.0480615
"James Van Der Beek"	0.0480396
"Kate Winslet"	0.0478214
"Tom Selleck"	0.0478079
"Whoopi Goldberg"	0.0477647
"Tom Cruise"	0.0476944
"Jacqueline Kennedy Onassis"	0.0474241
"Robert DeNiro"	0.0471891
Porno	0.0471382
"Nat King Cole"	0.0470549
"Norm MacDonald"	0.0468423
"Angela Bassett"	0.0468323
"Mel Gibson"	0.0468251
"Michael Caine"	0.0467723
"Bruce Willis"	0.0466941
"Emily Watson"	0.0465796
"Danny DeVito"	0.0465533
"Tom Hanks"	0.0462712
"Vanessa Redgrave"	0.0462448
"Gene Hackman"	0.046111
"Kevin Bacon"	0.0461009
"Claire Danes"	0.0460839
"Jimmy Smits"	0.0459256
"Hugh Grant"	0.0457888
"Michelle Pfeiffer"	0.0457524
"Helen Hunt"	0.045628
"Juliette Lewis"	0.045599
"Jon Voight"	0.0455895
"Leonardo DiCaprio"	0.0454354
"Halle Berry"	0.0453592
Cleese	0.045215
"John Ford"	0.0450332
"Sonny Bono"	0.0449894
"Geoffrey Rush"	0.0449465
"Meg Ryan"	0.0448094
"Geena Davis"	0.0447997
"Meryl Streep"	0.0445936
"Goldie Hawn"	0.0445689
"Rat Pack"	0.0445665
"Annette Bening"	0.0445065
"Winona Ryder"	0.0440839
"Austin Powers"	0.0439041
"Uma Thurman"	0.0437818
"Spike Lee"	0.0437109
"Tim Allen"	0.0436466
"Bill Cosby"	0.0435662
"Kevin Kline"	0.0435072
"Ed Harris"	0.0434545
"Quincy Jones"	0.0433863
"Natalie Portman"	0.0433607
gonzo	0.0433438
"William H. Macy"	0.0432828
"Brian Dennehy"	0.043143
"Indiana Jones"	0.0430217
"Edward Norton"	0.0429704
"Chris Klein"	0.0429428
"Kevin Spacey"	0.0428885
"De Niro"	0.0428581
"David Spade"	0.0427694
"Woody Allen"	0.0425596
"Stanley Kubrick"	0.0425261
"Matthew Perry"	0.0422369
"Leelee Sobieski"	0.0421783
"Brenda Blethyn"	0.0420214
"Johnny Depp"	0.0418906
"Liza Minnelli"	0.0418051
"John Cleese"	0.0417267
"Alfre Woodard"	0.041685
"Robin Williams"	0.0416325
"Jamie Foxx"	0.041569
"Antonio Banderas"	0.0415552
))
("Cary Stayner" (desc 1042.63) (sims
Stayner	0.21948
"Michael Skakel"	0.177797
Sarsour	0.143249
Blackthorne	0.139138
"El Hage"	0.136098
"Russell Peeler"	0.133818
Noe	0.129485
"Maturino Resendiz"	0.128989
Swango	0.128528
Nikitin	0.126584
Jenoff	0.12555
Giacchetto	0.125079
"Angel Maturino Resendiz"	0.124532
Shipman	0.11976
Lundy	0.116441
"maintenance man"	0.114013
Baumhammers	0.113617
Karr	0.112361
Kambanda	0.111866
Hiett	0.111524
Hage	0.111379
Priebke	0.1094
Haouari	0.109298
Shayler	0.108672
Laudor	0.108494
Meskini	0.108303
"Karla Faye Tucker"	0.104776
Francois	0.104305
"Iranian Jews"	0.104295
Odeh	0.103392
Merlino	0.102934
Kalejs	0.102428
Kaczynski	0.102197
handyman	0.102161
Cavallo	0.100855
furrow	0.0989744
Martorano	0.0985171
Gauthe	0.0981418
Soliah	0.0967889
Kodikian	0.0967391
Lileikis	0.0960006
Dokmanovic	0.0957105
Villanueva	0.0953177
Gullit	0.0952704
Lacresha	0.0944959
"Ray Lewis"	0.0943345
Ghani	0.0941407
Gritz	0.0935788
Biskind	0.093408
Borodin	0.0932622
"Gary Graham"	0.0928977
Skakel	0.0924589
"Patsy Ramsey"	0.0922145
Lazarenko	0.0918403
Jelisic	0.0905818
Ratner	0.0904445
Robison	0.0896337
"Carlos Salinas"	0.088658
Hamid	0.0886523
Neulander	0.0885831
"Mumia Abu-Jamal"	0.087781
Ankiel	0.0869175
Mikhailov	0.0868068
"Mark O. Barton"	0.0862192
Musa	0.0858824
Kimeses	0.0856435
"Rafael Resendez-Ramirez"	0.0854212
Beazley	0.0840371
Kazhegeldin	0.083959
Crocker	0.0838918
Colburn	0.0837547
McKinney	0.0835017
Vasquez	0.0832113
Capano	0.0831219
Maag	0.0829628
Mendez	0.0826721
Mullins	0.082511
Espinosa	0.0824317
Trie	0.082321
Boesak	0.082173
Valenzuela	0.0818552
Manbar	0.0815225
"Del Toro"	0.0812684
Barrionuevo	0.0808778
Brazill	0.0803603
Hensley	0.0802241
Talebi	0.0788761
Ruehe	0.0787768
Piggie	0.0783138
Shulman	0.0781482
Whalen	0.0781382
looper	0.0781255
Sebaggala	0.0775385
Nasrin	0.0772548
Allchin	0.0771884
Natale	0.0771661
"Maturino Resendez"	0.0770051
Bakaly	0.076608
Hoke	0.0758456
Yoo	0.0756365
"Ruiz Massieu"	0.0755172
Kopp	0.0753675
Padilla	0.0748854
Kovacevic	0.0746978
Sakic	0.0746804
"Charles Manson"	0.0745726
Carruth	0.0744997
Krajisnik	0.0744501
Agca	0.074218
Naumann	0.0739796
Fabius	0.0739167
Alves	0.0734561
al-Megrahi	0.0734328
Gangelhoff	0.0731421
Tevanian	0.0728306
Liao	0.0717267
Malik	0.0715877
Dumas	0.0714752
Marichal	0.0713467
Bruton	0.0713165
Meston	0.0713082
Druckenmiller	0.0712942
Whitacre	0.0708826
Kehoe	0.0707766
Mease	0.0706738
"Willie Horton"	0.0705459
Haughey	0.0704875
Bedell	0.0704143
Sithole	0.0701791
Chmura	0.0700647
Hirschfeld	0.0700395
"Russell Henderson"	0.069984
Maher	0.0698742
Khalil	0.0698507
Ince	0.0696894
Kiareldeen	0.069664
Janikowski	0.0690362
Fagan	0.0690154
Corcoran	0.0689468
Sells	0.0688923
Virenque	0.0688478
Reimer	0.0686298
Cornelius	0.0684645
Salemme	0.0681769
Schaeuble	0.0681601
Mitnick	0.0680717
BURNHAM	0.0679322
Trischitta	0.0679284
Pugh	0.0678874
DiCarlo	0.0675989
Cianci	0.0674717
Schiffer	0.0673833
Roussel	0.0671945
Abbas	0.0668977
Jewell	0.0664188
"Raul Salinas"	0.0662031
Fiddes	0.0661228
Quackenbush	0.0660995
co-conspirator	0.0660498
Faget	0.0660349
"David Hale"	0.065566
Aventajado	0.0650652
Sheinbein	0.0645881
Donohue	0.0642821
Lari	0.0640304
Gravano	0.0639734
Farris	0.0639676
Trevi	0.0638726
ex-convict	0.0636568
Schmalensee	0.0634288
Bambang	0.0633242
Weizman	0.0629771
"Dinko Sakic"	0.0629626
Garofalo	0.0628873
Mercurio	0.0627672
Fuentes	0.0627329
Paciello	0.0626781
McIntosh	0.0626774
Eizenstat	0.0625503
Coolio	0.062538
Haney	0.0625307
LeBlanc	0.0625145
"Theodore Kaczynski"	0.0624183
Ntuyahaga	0.0623855
McAllister	0.0623734
"Wen Ho Lee"	0.0623032
Mattysse	0.0622916
Gowda	0.0621185
Nkabinde	0.0618768
Astacio	0.0618127
Zuma	0.0616327
"naval officer"	0.0616295
Salim	0.0613555
"Rae Carruth"	0.0611671
Ressam	0.0611609
Hsia	0.0611456
Grossberg	0.0611351
sightseer	0.0611106
hale	0.0610738
Rao	0.0607592
))
(CAS (desc 8824.41) (sims
"Chinese Academy of Sciences"	0.257566
"Chinese Academy of Engineering"	0.187182
CPAFFC	0.15428
"Qinghua University"	0.141579
CASS	0.139721
"Chinese Academy of Social Sciences"	0.133771
"State Education Commission"	0.122556
ARATS	0.118972
"Beijing University"	0.115807
Qinghua	0.114725
CCF	0.114415
ICBC	0.111604
"municipal government"	0.109694
HKFA	0.108241
CCB	0.107657
institute	0.107157
CNPC	0.106739
"Ministry of Education"	0.105327
CNOOC	0.10293
"Ministry of Forestry"	0.102698
PBOC	0.102023
SDB	0.101183
ACWF	0.0990957
ACFTU	0.0983712
"Ministry of Science"	0.0980672
academy	0.097442
"Zhejiang University"	0.0971417
BOC	0.0967894
"China Youth Development Foundation"	0.0957422
OCA	0.095711
university	0.0947744
EC	0.0944742
"Inter-Parliamentary Union"	0.0943407
"State Planning Commission"	0.0943095
"Bell Labs"	0.0934024
"European Commission"	0.0931471
"U.S. Soccer Federation"	0.0929181
"Asia Society"	0.0928769
"Ministry of Water Resources"	0.0926873
"University of China"	0.0923154
"Ministry of Foreign Trade and Economic Cooperation"	0.0921982
"Ministry of Justice"	0.0921123
"Red Cross Society"	0.0908227
WIPO	0.0903262
"EU Commission"	0.0902148
UCI	0.0901457
ILO	0.0901138
"Fudan University"	0.0894252
"State Science and Technology Commission"	0.0891923
"Olympic Council of Asia"	0.0887884
"World Bank"	0.0881951
"Ministry of Personnel"	0.0879091
"State Development Planning Commission"	0.0876244
CDB	0.0875636
PICC	0.0873664
NIH	0.0870205
"State Administration of Internal Trade"	0.0867931
"Ministry of Communications"	0.0866786
SPC	0.0865613
"Ministry of Agriculture"	0.0856548
"Ministry of Posts"	0.0856198
UMNO	0.0853676
"Visa International"	0.0852443
"Ministry of Public Health"	0.0849238
"Chinese Olympic Committee"	0.084479
"Ministry of Information Industry"	0.0843905
"Ministry of Railways"	0.0839635
UNDP	0.0839271
"State Council"	0.0839223
"National Institutes of Health"	0.0836627
CCPIT	0.0826131
IAAF	0.0824696
"State Forestry Administration"	0.0822099
Eximbank	0.0816229
"China Society"	0.0814619
"All-China Youth Federation"	0.08145
"China National Tourism Administration"	0.0811004
"American Heart Association"	0.0810181
UNIDO	0.0809356
"All-China Federation"	0.0808282
"China Association for Science"	0.0807628
"Ministry of Civil Affairs"	0.0806363
Interpol	0.0805564
"United Nations Educational, Scientific and Cultural Organization"	0.0804005
"State Administration of Cultural Heritage"	0.0803676
"Ministry of Construction"	0.080283
"State Economic and Trade Commission"	0.0797961
ADB	0.0797735
UNESCO	0.0797153
CNTA	0.0796863
FAO	0.0795898
EBRD	0.079563
"Council of State"	0.0795616
"Ministry of Culture"	0.0795425
"International Amateur Athletic Federation"	0.0793353
"National Cancer Institute"	0.079266
"Congress Working Committee"	0.079158
"Johns Hopkins University"	0.0790707
ITF	0.0790157
"Department of Environment"	0.078852
ministry	0.0788027
"China Council"	0.078787
"Health Ministry"	0.0787593
"Ministry of Internal Trade"	0.0787339
"American Red Cross"	0.0787105
CCA	0.0786997
COSCO	0.0786114
WEF	0.0785799
"Council of Europe"	0.0782333
CMA	0.0777621
"Democratic Leadership Council"	0.0776405
"Chinese government"	0.0774774
CIRC	0.0774468
"US Supreme Court"	0.0773175
"National Tourism Administration"	0.0769457
"China Telecom"	0.0768194
CDC	0.0767754
"Oxford University"	0.0764204
IPU	0.0764081
"China Unicom"	0.0763684
"Shanghai Municipal Government"	0.0762318
OAU	0.0761925
"Education Ministry"	0.0761704
ECA	0.0759212
"Civil Aviation Administration of China"	0.0759148
"Agriculture Ministry"	0.0759136
USOC	0.0758405
"Ministry of Public Security"	0.0750626
federation	0.0746868
"Defense Agency"	0.074611
CFA	0.0744071
BSA	0.0743969
"State Bureau of Cultural Relics"	0.0742819
"World Intellectual Property Organization"	0.0741669
"National Oceanic and Atmospheric Administration"	0.0740426
"Party School"	0.0738117
FIFA	0.0737903
IFC	0.0736802
"World Tourism Organization"	0.0736744
CPPCC	0.0733509
FIBA	0.0731822
"Zhongshan University"	0.0730622
ESCAP	0.072938
UNCTAD	0.0729087
CSRC	0.0728091
"Beijing Municipal Government"	0.0727445
"United Nations Children's Fund"	0.0725658
"Australian Olympic Committee"	0.0724842
"National Council"	0.0723784
UNICEF	0.0721357
"National Aeronautics and Space Administration"	0.071989
"Industry Ministry"	0.0719428
"International Olympic Committee"	0.0718584
"Health and Welfare Ministry"	0.0718027
SOCOG	0.0716571
"All-China Journalists Association"	0.0715309
"Brookings Institution"	0.0714722
NCI	0.0711915
"State Flood Control"	0.0710964
"Ministry of Health"	0.0708498
"CPPCC National Committee"	0.0707728
"Central Committee"	0.0706591
"International Federation"	0.0703966
SLOC	0.0702404
UEFA	0.069597
"Association for Relations Across"	0.0695697
"World Wildlife Fund"	0.0695663
"China National Petroleum Corporation"	0.0695329
HKTA	0.0694782
CITIC	0.0693845
BOI	0.0693807
"Project Hope"	0.0692716
IOC	0.0691051
"University of Chicago"	0.0690046
"Allied Pilots Association"	0.068996
ENTREMED	0.0689181
"National Council of La Raza"	0.0689035
"Economic and Social Council"	0.0687119
AOC	0.0685961
OECD	0.0684595
AmCham	0.0684299
"National Park Service"	0.0682002
"World Court"	0.0681081
"California Institute of Technology"	0.0680078
NARAL	0.0679535
"Ministry of Labor"	0.0675183
AARP	0.0674403
"Xinhua News Agency"	0.0674286
"work unit"	0.0672822
"Tourism Authority of Thailand"	0.0672781
"Ministry of Finance"	0.0668506
"Association for Friendship"	0.0668142
Kiribati	0.0667717
"Board of Investment"	0.0666616
"Chinese Foreign Ministry"	0.0666485
CWA	0.0665808
MOFTEC	0.0664947
"National Transportation Safety Board"	0.0663393
Dana-Farber	0.0662938
AFL-CIO	0.0659008
))
(casa (desc 3633.04) (sims
Dasa	0.204479
Aerospatiale	0.155071
"British Aerospace"	0.144086
"Aerospatiale Matra"	0.139421
las	0.13728
Carrera	0.135912
Lagardere	0.130461
en	0.116242
Guerra	0.111236
fue	0.110305
Brasil	0.0985228
Telefonica	0.0921385
del	0.085946
por	0.0859162
Dassault	0.0858918
"Estados Unidos"	0.085254
que	0.0828619
Para	0.0810119
LOS	0.0808729
"Galo Blanco"	0.0805267
Mi	0.0795541
"Fernando Escartin"	0.0793007
"King Juan Carlos"	0.07749
REPSOL	0.0770555
"Carlos Costa"	0.0749582
Mercado	0.0740439
"Javier Sanchez"	0.0734218
su	0.0733382
Contra	0.0727916
de	0.0722267
OCA	0.0720777
"Santa Maria"	0.071325
Vita	0.0693418
Sol	0.0683823
"Francisco Clavet"	0.0679916
"Carlos Sainz"	0.0676987
mano	0.0670676
es	0.0670639
"Abraham Olano"	0.0664246
Como	0.0656274
"Sergi Bruguera"	0.0655718
"Alberto Berasategui"	0.0647227
Julio	0.0643936
la	0.0638238
"Miguel Angel Jimenez"	0.0633678
Ni	0.0633349
Banda	0.0631468
"Albert Portas"	0.0624996
Grande	0.0620968
Puente	0.0616939
"Felipe Gonzalez"	0.0615951
Cristina	0.0605101
Puerta	0.0588891
el	0.0586069
MAS	0.0583182
Vina	0.0572125
Fuente	0.0570691
SAL	0.0568667
se	0.0555843
"Miguel Indurain"	0.0553377
"Albert Costa"	0.0549117
Laguna	0.0544438
espanol	0.0518069
"Felix Mantilla"	0.0515531
"Pedro Almodovar"	0.0513193
Alma	0.0507438
Maria	0.0505903
"Julian Alonso"	0.0499954
una	0.0495151
Yo	0.0487998
sierra	0.0479688
Serna	0.0477051
Ville	0.0475623
Renta	0.0472755
"Arantxa Sanchez Vicario"	0.046851
Rocha	0.0467603
"Jose Maria Olazabal"	0.0466056
creme	0.0457704
siecle	0.0456243
Boca	0.0454171
Balboa	0.0450071
Grange	0.044967
Amor	0.0447097
"Culture Ministry"	0.0446308
"Lockheed Martin"	0.0445568
Tu	0.0445386
Deportivo	0.0445246
Hoya	0.0441475
Dias	0.043811
Jung	0.043584
"Magui Serna"	0.0434595
"Bull Run"	0.0434031
Dolores	0.0433986
Nina	0.0433603
Mundo	0.0432635
Occidental	0.0430727
Plata	0.0429391
"McDonnell Douglas"	0.0424114
"Juan Carlos Ferrero"	0.0418926
Bella	0.0405075
Tete	0.0404216
))
(Casablanca (desc 10527.8) (sims
Rabat	0.108797
Marrakesh	0.0974572
Linz	0.0938
Doha	0.0905585
Trondheim	0.0862938
Osaka	0.0862619
Halle	0.0853462
Hobart	0.0847065
Basle	0.0841725
PALERMO	0.0841712
Cardiff	0.0840111
Kitzbuehel	0.0838638
Copenhagen	0.081831
Madras	0.080028
Windhoek	0.079943
Durban	0.0796222
"Younes El Aynaoui"	0.0796198
Madrid	0.0786775
Montpellier	0.0781388
Leipzig	0.0779284
CAIRO	0.0777939
Asuncion	0.0770676
Filderstadt	0.0766022
Aqaba	0.0756506
Auckland	0.0743372
Sapporo	0.0738435
Perth	0.0737377
Eastbourne	0.0730632
Genoa	0.0730278
Istanbul	0.0730076
Dusseldorf	0.0728771
Antwerp	0.0727573
BASEL	0.0726937
"Karim Alami"	0.0726666
Lyon	0.0726408
Hamburg	0.0725741
Algiers	0.0718156
Strasbourg	0.0717486
Vienna	0.0717075
Jeddah	0.0712132
Bulawayo	0.0710286
Tashkent	0.0707302
Brisbane	0.070527
Berlin	0.070386
Stuttgart	0.070376
Amsterdam	0.0701394
"St Petersburg"	0.0700811
Salzburg	0.0699047
Adelaide	0.0696652
Turin	0.0692487
"Indian Wells"	0.0686042
MELBOURNE	0.0685652
SAINT-ETIENNE	0.0680406
Novosibirsk	0.0679773
ZAGREB	0.0678679
"Buenos Aires"	0.0678038
Munich	0.0675272
Eilat	0.0674924
Birmingham	0.0674314
Cartagena	0.0672361
Marseille	0.066824
BUCHAREST	0.0666289
Pattaya	0.0664538
Bremen	0.0663659
Lausanne	0.0661935
BUDAPEST	0.0658119
Yokohama	0.0658097
Bari	0.0652029
"La Paz"	0.0651458
Chiba	0.0648247
Riga	0.0645693
Eindhoven	0.0644372
"Bandar Seri Begawan"	0.0643949
Muscat	0.0643906
"Citizen Kane"	0.0643722
Fukuoka	0.064266
"Ho Chi Minh City"	0.0641253
Rotterdam	0.0637555
Helsinki	0.0636838
Gelsenkirchen	0.0636134
Utrecht	0.0635898
Nantes	0.0633654
LISBON	0.063287
Florence	0.0632
"Sao Paulo"	0.062971
KIEV	0.0627061
Alexandria	0.0623676
Heerenveen	0.0623497
Sirte	0.062152
MANAMA	0.0618651
JOHANNESBURG	0.0617677
Glasgow	0.0617611
Barcelona	0.0617515
Amman	0.061626
"Manhattan Beach"	0.0615385
Milan	0.0614239
Pretoria	0.0613223
STOCKHOLM	0.0612187
HANOI	0.0611897
BRATISLAVA	0.0611539
Toulouse	0.0610941
Dublin	0.0610249
Ipoh	0.06087
Prague	0.0606897
Krakow	0.0604846
Klagenfurt	0.0603592
Hanover	0.0602908
Calcutta	0.0602605
Accra	0.0602232
Nagoya	0.0601991
Beirut	0.0598872
Gaborone	0.0598355
Almaty	0.0595354
Tripoli	0.059516
Nottingham	0.0594283
"CHIANG MAI"	0.0593756
Riyadh	0.059284
"Melbourne Park"	0.0591251
Tapachula	0.059084
el-Sheikh	0.0590036
Oslo	0.0589597
Hiroshima	0.0589474
MAPUTO	0.0588709
SOFIA	0.0587938
"Hilton Head"	0.0585003
"European Swimming Championships"	0.0583974
Surabaya	0.0583707
Naples	0.0583306
Memphis	0.0582601
Antalya	0.0582126
"Desert Fox"	0.0581619
Aswan	0.0580985
Baku	0.0580707
"Monte Carlo"	0.0580518
Juarez	0.0578251
Rawalpindi	0.057809
"World University Games"	0.0577805
Kyoto	0.0574697
Dakar	0.057369
Charleroi	0.0573497
Dushanbe	0.0571203
"Egyptian capital"	0.0570999
"St. Petersburg"	0.0570039
Lahore	0.056891
"Rio de Janeiro"	0.0568479
Guayaquil	0.0567974
"Quebec City"	0.0567614
Cebu	0.0567199
Havana	0.0566215
Amadeus	0.0565315
Zurich	0.0564811
Bishkek	0.0564586
"Tel Aviv"	0.0563166
Carlsbad	0.0561364
Duesseldorf	0.0560368
"Victoria Falls"	0.0558702
"King Hassan"	0.0558426
Harbin	0.0557823
"Stockholm Open"	0.0557487
Reykjavik	0.0557284
Cali	0.0556597
Krasnoyarsk	0.0555632
Monterrey	0.0555053
"Mexico City"	0.0554576
"Olympic Winter Games"	0.0553529
Bangkok	0.055149
Cologne	0.0549353
"Hicham El Guerrouj"	0.054873
"Jurassic Park"	0.0547765
Kuching	0.0547632
HARARE	0.0547468
Durres	0.0545714
Baotou	0.0545285
"Cape Town"	0.054442
Entebbe	0.0544038
Damascus	0.0543896
Shiraz	0.0543236
Santiago	0.0542731
"Kuala Lumpur"	0.0539172
"New Haven"	0.0538598
Vladikavkaz	0.0538181
"San Jose"	0.0535278
Sidon	0.0534619
Tangshan	0.0533911
Beira	0.0532819
Langkawi	0.0530931
Minsk	0.053071
Merida	0.0529761
"San Sebastian"	0.0529424
BLANTYRE	0.0528499
"Las Vegas"	0.0527383
Plata	0.0526579
Winnipeg	0.0526159
SEOUL	0.0526141
Hershey	0.0524982
Monaco	0.0524734
Luxembourg	0.0524539
Ramallah	0.0522822
Belfast	0.0521854
Karachi	0.0520402
))
(Casanova (desc 2028.57) (sims
Fullmer	0.114375
Vidro	0.107379
"Mark Loretta"	0.107034
Rolen	0.101386
Mabry	0.096574
"Damian Miller"	0.0885453
Ricart	0.0837763
"Chris Widger"	0.0816566
"Jay Payton"	0.0804051
Bautista	0.0798032
"Ron Coomer"	0.0791765
"Gabe Kapler"	0.0789999
Randa	0.076695
"Matt Franco"	0.0734625
"Matt Lawton"	0.0733063
Fryman	0.0732566
"John Mabry"	0.0730791
Lieberthal	0.0722054
Spiers	0.0708568
"Cristian Guzman"	0.069229
Guillen	0.0672285
Burnitz	0.0671205
"Preston Wilson"	0.0668978
"Mark Kotsay"	0.0667283
"Marvin Benard"	0.0663971
"Juan Encarnacion"	0.0661578
Dunston	0.0652618
"Tony Batista"	0.0651773
Aurilia	0.0650357
"Brent Mayne"	0.06491
"Neifi Perez"	0.0648
"Jose Valentin"	0.0644533
"John Vander Wal"	0.0641112
"Deivi Cruz"	0.0634786
"Carlos Lee"	0.0631448
Nevin	0.0627846
"Ray Durham"	0.0625523
Beltran	0.0624262
"Ruben Rivera"	0.062333
"Travis Lee"	0.0616617
"Jehovah's Witnesses"	0.0611014
"Fred McGriff"	0.0610854
"J.T Snow"	0.0608186
"Bengie Molina"	0.0606936
"Cliff Floyd"	0.060544
McGriff	0.0604363
Lankford	0.0598219
"Luis Castillo"	0.0597886
"Herbert Perry"	0.059609
Tejada	0.0593972
"Jose Hernandez"	0.0592753
"King Hassan"	0.059275
"Bruce Aven"	0.0591257
"Geoff Jenkins"	0.058995
"Jeff Conine"	0.0589602
"Warren Morris"	0.0587231
"Marty Cordova"	0.0582623
Pearce	0.0579411
Northup	0.0578194
Schafer	0.0576975
Bergeron	0.0576531
"Matt Stairs"	0.0575781
"Eric Chavez"	0.0569311
"Scott Spiezio"	0.0567648
Halama	0.056729
tomcat	0.0565335
Higginson	0.056471
Cirillo	0.0563869
"William Shakespeare"	0.0563466
"Jeffrey Hammonds"	0.0562308
Meares	0.056133
"Bill Mueller"	0.0560266
"Eric Owens"	0.0559652
"Johnny Damon"	0.0559437
"Ray Lankford"	0.0554947
Klemperer	0.0554365
"Joe McEwing"	0.0552704
Lawton	0.0549908
Speer	0.0548851
"Russ Johnson"	0.0548291
"Rondell White"	0.0548123
"B.J Surhoff"	0.0547977
Brazile	0.0547394
"Lee Stevens"	0.054697
"Wally Joyner"	0.0546778
"Stan Javier"	0.0545778
Tatis	0.0543775
Elliot	0.0539101
Sexson	0.0538746
"Corey Koskie"	0.053731
"Carlos Beltran"	0.0536918
Flanagan	0.0536761
Menchu	0.053494
"Matt Walbeck"	0.0534453
"Einar Diaz"	0.053224
"Alex Gonzalez"	0.0532172
TARPLEY	0.0531557
Narayanan	0.0530094
"Tony Eusebio"	0.0528793
"Jose Vidro"	0.052827
Onassis	0.0527286
"Todd Pratt"	0.0526729
"Jose Guillen"	0.0526442
Schlessinger	0.0524868
"Kevin Jordan"	0.0524143
Frye	0.0523491
Burrell	0.0519678
Varitek	0.0519333
"Dante Bichette"	0.0519002
"Jermaine Dye"	0.0515658
O'Reilly	0.0515397
"Rico Brogna"	0.0512255
"Dmitri Young"	0.0511176
"Luis Gonzalez"	0.0509787
Giambi	0.0509416
Macfarlane	0.0508567
Solis	0.0507476
"Ben Grieve"	0.0507054
Saenz	0.0506641
"Benny Agbayani"	0.0506559
"blind man"	0.0505728
"Kelly Stinnett"	0.0504122
"Danny Bautista"	0.0503937
"Benji Gil"	0.0503683
Javier	0.0503202
"Manny Alexander"	0.0503053
"Tim Bogar"	0.0503013
"Damon Buford"	0.0501226
Eichmann	0.0497492
Vizquel	0.0497312
"Jeromy Burnitz"	0.049729
McMurtry	0.0496526
"Miguel Tejada"	0.0495827
"Tom Lampkin"	0.0495653
"Gregg Zaun"	0.0495331
Lawson	0.0495084
Groscost	0.0494615
"Glenallen Hill"	0.0494363
Halberstam	0.0493516
Ordonez	0.0493511
Veras	0.0491777
Nietzsche	0.0491691
"Derek Bell"	0.049134
"Pat Meares"	0.0490119
pimpernel	0.0489541
"Bobby Higginson"	0.048949
"Brady Anderson"	0.0488962
"Brad Ausmus"	0.0488731
"Edgardo Alfonzo"	0.0487662
Okada	0.0487298
"HANK KUEHNE"	0.0485497
ture	0.048423
"Marquis Grissom"	0.048349
Chao	0.0483286
Blackwell	0.0482286
Peretz	0.0481354
"Troy Glaus"	0.0481315
"Tino Martinez"	0.0481185
Tsvangirai	0.048103
"Tony Clark"	0.0480882
Daal	0.0480855
McLemore	0.0480369
"sea captain"	0.0480312
Konerko	0.0479761
"Vladimir Guerrero"	0.0478909
Parnevik	0.0477333
Olerud	0.0476832
Boone	0.0476405
"Mike Lansing"	0.0475718
"John Olerud"	0.0475646
"Mike Lieberthal"	0.0475335
Greenwald	0.0473982
Batista	0.0472462
Prewitt	0.0472217
Abreu	0.0472015
Turetzky	0.0471912
"David Ortiz"	0.0471878
"Kenny Lofton"	0.0471701
"Darryl Hamilton"	0.0471447
"Ken Caminiti"	0.0471345
Elster	0.0471325
Millar	0.0471083
Velarde	0.0470591
Castilla	0.0469674
"Damian Jackson"	0.0469396
"Eddie Taubensee"	0.0469059
Surhoff	0.046872
Hoch	0.0467901
Biggio	0.0467857
"Chili Davis"	0.0467182
Magee	0.0464958
"Edgar Martinez"	0.0464723
Hoffmann	0.0464669
Sorensen	0.046443
Gaynor	0.0464062
imp	0.0463938
McCarty	0.0463579
Atkinson	0.0463502
"Andruw Jones"	0.046247
Janis	0.0462434
))
(Casas (desc 1235.12) (sims
Tapachula	0.184556
Posoltega	0.171688
"San Cristobal"	0.156399
Lhokseumawe	0.137517
Guayaquil	0.130957
Marjayoun	0.126042
Macoris	0.120889
Juba	0.116934
Saida	0.113225
"San Pedro Sula"	0.112934
Borbon	0.111414
Cairns	0.111093
Bulawayo	0.109146
Guadalajara	0.108463
Taloqan	0.108002
"Suva Reka"	0.106864
Beersheba	0.105928
Luoyang	0.105657
Kizlyar	0.102556
Kuito	0.102546
Mosul	0.100896
"Del Rio"	0.100756
Matadi	0.100442
Urus-Martan	0.100204
Bridgeport	0.0997203
Palma	0.0982316
Multan	0.0975083
Limassol	0.0974834
Gudermes	0.0972709
Oro	0.0948962
Mankulam	0.0947837
"Ciudad Juarez"	0.0940168
Americas	0.0937986
Uvira	0.0935373
Manado	0.0927859
Ashkelon	0.0923239
Kismayu	0.0922645
Avila	0.0922024
Datong	0.0917866
Aachen	0.0907278
Nago	0.0902701
Krakow	0.0900495
"Fall River"	0.0899349
Baotou	0.0895837
Cali	0.0888979
"Santa Fe"	0.0877334
Merida	0.08753
Sochi	0.0868349
Diyarbakir	0.0867096
Irbil	0.0864802
Izmit	0.0863983
Ibadan	0.0860956
Nakuru	0.0860079
TEGUCIGALPA	0.08582
Matamoros	0.0853874
Zhangjiakou	0.0845497
Whitehall	0.0844558
Makeni	0.0838777
Anshan	0.0837593
NIS	0.0837445
Jingdezhen	0.0833865
"Novi Sad"	0.0832566
Urosevac	0.0829758
Bilbao	0.0828033
Caen	0.0819796
Ur	0.0817636
Baalbek	0.081625
Aswan	0.0811819
Bergen	0.0809574
"Port Moresby"	0.0809506
Juarez	0.0809297
Bukavu	0.0806761
"Palm Beach"	0.0805793
Shiraz	0.0796134
Clifton	0.0794445
Dushanbe	0.0793651
Novosibirsk	0.0790916
Valparaiso	0.0790916
Astana	0.0789996
Mostar	0.0786671
Kragujevac	0.0785522
Antalya	0.0784903
Utica	0.0783036
Golmud	0.0781728
"Sao Paulo"	0.0777496
Peshawar	0.0774715
Pereira	0.0773721
"Santa Maria"	0.0769366
Zhangzhou	0.0769285
Wildwood	0.0768796
Warri	0.0768354
Weifang	0.076747
Atambua	0.0765491
Sidon	0.0762188
Jager	0.0760653
Ensenada	0.0756233
Zaragoza	0.0755529
Acapulco	0.07554
Juneau	0.0755013
Guerra	0.0753729
Ismailia	0.0752623
Vitoria	0.0752492
"San Salvador"	0.074826
"Kosovska Mitrovica"	0.0747371
Bayonne	0.0741844
Quetta	0.0741275
Santander	0.0736463
Mazar-i-Sharif	0.0735882
Plattsburgh	0.0735641
Assisi	0.0733888
Sapporo	0.0732517
Klina	0.0731005
Liuzhou	0.0727776
Valdez	0.0725596
"Santo Domingo"	0.0722018
Golcuk	0.0719484
Isfahan	0.0718367
"Holy Spirit"	0.0715063
Xuzhou	0.071381
Medellin	0.0713189
Khabarovsk	0.0712213
Odessa	0.0712129
Christchurch	0.0712062
Mello	0.0711204
Djakovica	0.0710304
Medan	0.0710182
Barros	0.0707223
Laredo	0.070694
Como	0.0705575
Srbica	0.0705469
Luca	0.0704852
Cebu	0.070448
Bushehr	0.070398
Waterville	0.0701893
Yekaterinburg	0.0701516
Lille	0.0700044
Murmansk	0.0696981
Almeida	0.0692455
Jong	0.0691881
Rosario	0.0689554
Zhongshan	0.0687755
Tokaimura	0.0687224
"La Paz"	0.0687174
Cochabamba	0.0685167
Basra	0.0683127
"Guatemala City"	0.0682682
Paterson	0.0681839
Kisumu	0.0678059
Bruijn	0.0677902
Izmir	0.0676745
Monterrey	0.0676444
Pisa	0.0675678
Antioquia	0.0675243
Winchester	0.067488
Caguan	0.0673962
Fuente	0.0672832
Tachilek	0.0672478
ZHOUSHAN	0.0670398
Sevastopol	0.0668803
Pancevo	0.0668731
Cordoba	0.0667483
Baidoa	0.066747
Chamonix	0.0665103
Huambo	0.06627
Pompeii	0.0661419
Haifa	0.0660478
Zapata	0.0659873
Manta	0.065904
Sanderson	0.065794
Brasil	0.0657057
Mundo	0.065646
Camden	0.0655319
Princeville	0.0654739
Burgos	0.0653573
BASEL	0.0651809
Cacak	0.0650747
Venecia	0.0650547
"Quebec City"	0.0650385
Trincomalee	0.0650272
Mazar-e-Sharif	0.0649886
Chengde	0.0649088
Quito	0.0647792
"San Bernardino"	0.0645207
Gdansk	0.0643751
Quanzhou	0.0643479
Pusan	0.0640014
Brcko	0.0639956
Klerk	0.0639462
Mitrovica	0.063643
Charleroi	0.0634945
Strasbourg	0.0634359
Catania	0.0633452
Zhangjiajie	0.0633369
Kindu	0.0633249
"Garden City"	0.0632376
Carrera	0.0629425
Toulouse	0.0628489
Cartagena	0.0627807
Covington	0.0627227
Metz	0.0626875
))
(cascade (desc 14071) (sims
"Sierra Nevada"	0.146369
Appalachians	0.111822
sierra	0.109813
"Rocky Mountains"	0.10429
Andes	0.092291
torrent	0.0783476
Rockies	0.0763951
Pyrenees	0.0660408
"mountain range"	0.0622776
"chain reaction"	0.058674
waterfall	0.054275
deluge	0.0541144
Alps	0.0533976
flurry	0.0521072
Dakota	0.052086
Himalayas	0.0514604
avalanche	0.0512046
"Great Lakes"	0.0506976
"Great Plains"	0.0506137
"Pacific Northwest"	0.0495077
smattering	0.0478109
Adirondacks	0.0461341
array	0.045853
splotch	0.0458431
elevation	0.045254
barrage	0.0449672
cacophony	0.0446578
"Mississippi Valley"	0.043845
tangle	0.0435809
"tidal wave"	0.0434108
outpouring	0.0431777
Piedmont	0.0430834
volley	0.0411997
volcano	0.0411866
blizzard	0.0406429
Flagstaff	0.0403346
"New Wave"	0.0402477
fusillade	0.040134
))
(case (desc 422435) (sims
lawsuit	0.19245
trial	0.175526
investigation	0.17032
incident	0.163006
charge	0.158636
matter	0.150494
allegation	0.14721
crime	0.145251
issue	0.144851
suit	0.142559
scandal	0.14078
problem	0.136989
complaint	0.136657
proceeding	0.133265
Death	0.131698
claim	0.130697
situation	0.128242
evidence	0.127264
action	0.124726
decision	0.123375
inquiry	0.120964
murder	0.120398
prosecution	0.118096
indictment	0.115818
conviction	0.115522
accusation	0.115368
killing	0.115182
argument	0.114433
"antitrust case"	0.114383
question	0.112717
violation	0.112258
ruling	0.112071
report	0.1106
litigation	0.1103
story	0.109325
appeal	0.108656
dispute	0.107771
process	0.107656
testimony	0.10734
outbreak	0.107272
event	0.107147
activity	0.106779
probe	0.106038
law	0.105967
court	0.105828
hearing	0.105281
arrest	0.105183
campaign	0.104996
affair	0.104703
verdict	0.10456
slaying	0.104117
accident	0.103949
deal	0.103831
program	0.103351
effort	0.102367
plan	0.101904
epidemic	0.101576
number	0.101522
instance	0.101272
life	0.10092
attack	0.100781
incidence	0.100494
fact	0.0995391
proposal	0.0991303
act	0.098421
crisis	0.0983086
history	0.0978769
operation	0.097777
work	0.0977759
finding	0.0975153
project	0.0970353
relationship	0.0968897
victim	0.0966824
bill	0.0963559
result	0.0961114
policy	0.0960023
this	0.0959852
study	0.0954952
lawyer	0.0952272
cause	0.0950645
controversy	0.0950241
people	0.0947544
request	0.0943155
business	0.0941475
statement	0.0941113
conflict	0.0935437
patient	0.0933314
development	0.0932306
shooting	0.0931426
order	0.0930768
form	0.0929409
disease	0.0928873
symptom	0.0926903
abuse	0.0921634
one	0.0921113
tragedy	0.0919717
practice	0.0918508
account	0.0916384
document	0.0916262
job	0.0915215
debate	0.0914579
behavior	0.0914512
petition	0.0913833
role	0.0911483
episode	0.0910635
treatment	0.0909766
that	0.0908591
thing	0.0907331
state	0.0906662
circumstance	0.0903981
settlement	0.0901889
possibility	0.0901692
violence	0.0896166
election	0.0893536
attempt	0.0893245
risk	0.0892422
battle	0.0891514
count	0.0891333
it	0.0891163
effect	0.0890137
family	0.0888804
application	0.0883106
negotiation	0.0881577
bombing	0.0880301
legislation	0.0880259
war	0.0879991
system	0.0878448
impeachment	0.0878263
theft	0.08776
future	0.0877313
book	0.0873709
use	0.087005
threat	0.0869749
record	0.0868066
politics	0.0866323
fight	0.0865742
kidnapping	0.0865233
move	0.0864201
aspect	0.0863529
test	0.085971
crash	0.0858798
company	0.0858565
sentence	0.0856733
vote	0.0854156
kind	0.0853736
rate	0.085287
country	0.0852125
detail	0.0851864
strategy	0.0850918
offense	0.0849339
scheme	0.084842
procedure	0.0846721
measure	0.0845442
disappearance	0.0845045
area	0.0841454
way	0.084006
fraud	0.0839846
"federal court"	0.0838799
connection	0.083784
experience	0.0837008
Defense	0.0836976
group	0.0835734
transaction	0.0832406
type	0.0830465
challenge	0.0830382
condition	0.0829205
term	0.0829098
change	0.0825948
disaster	0.0825417
Execution	0.0824126
infection	0.082402
child	0.0822002
failure	0.0820572
talk	0.0818975
performance	0.0818505
some	0.0817939
discussion	0.081723
those	0.0816558
part	0.0815345
illness	0.0814535
site	0.081235
market	0.0810631
game	0.0809957
response	0.0808851
sale	0.0806253
rape	0.080557
agreement	0.0804619
conduct	0.0801782
place	0.0801712
call	0.0801398
trouble	0.0795622
witness	0.0794125
product	0.0792216
race	0.0791421
series	0.0789429
bid	0.0788887
subject	0.0788081
judgment	0.0787313
office	0.0787112
year	0.0786843
))
("case history" (desc 1038.38) (sims
willfulness	0.0836728
foretaste	0.0820197
"Sixty-five percent"	0.0819013
roadmap	0.0657918
"over two-thirds"	0.0641615
Diagnoses	0.0605862
tracking	0.0590771
two-fifths	0.0560516
"Forty percent"	0.0555713
"Twenty percent"	0.0552753
progenitor	0.0543512
put-down	0.0536321
"musical group"	0.0532025
"piece of music"	0.0528426
"One hundred percent"	0.0525929
re-creation	0.0517339
chronology	0.0517098
"dollar amount"	0.0515564
"Ninety-nine percent"	0.0497226
haiku	0.0496702
ramblings	0.0493376
epilogue	0.0491011
caseload	0.0489763
"about three percent"	0.0487826
"random sample"	0.0487521
criminalization	0.0485452
subgroup	0.0482486
Rockettes	0.0471053
synopsis	0.0468453
"Thirty percent"	0.0467924
"Princess Mononoke"	0.0465598
circumnavigation	0.046548
"medical history"	0.0463725
worldliness	0.045892
"Fifteen percent"	0.0456557
"about one-quarter"	0.0450756
punchline	0.0447352
practicality	0.0444441
synopses	0.0442149
courting	0.0435031
"theatrical production"	0.043269
"about five percent"	0.0428981
"detective story"	0.0428951
bigness	0.0428762
timeline	0.042225
Triptych	0.0414756
amplitude	0.0412378
"component part"	0.0411755
nightspots	0.0410623
Straits	0.0408925
oration	0.0407144
"identical twin"	0.0406962
benediction	0.0403369
cost-effectiveness	0.0401213
))
("case in point" (desc 4252.62) (sims
guidepost	0.0637471
"object lesson"	0.0618802
sidelight	0.0560982
"popularity contest"	0.0552128
"word of advice"	0.0540899
"turning point"	0.0523708
"measuring stick"	0.0519058
nonstarter	0.050841
"piece of work"	0.0489515
"test case"	0.0482683
fief	0.0470746
postscript	0.046467
"break of serve"	0.046417
go-round	0.0455717
"agenda item"	0.045178
comedown	0.0448236
drawback	0.0446481
"ball game"	0.044356
aberration	0.0441167
"service break"	0.0438781
"Hail Mary"	0.0430859
"piece of music"	0.0429671
"rule of thumb"	0.0426803
"eye opener"	0.0426552
omen	0.0425159
telemarketer	0.042409
"takeover target"	0.042377
"good example"	0.0423424
"Passion play"	0.0422662
culmination	0.0414446
"pass catcher"	0.0413607
corrective	0.0410589
"hot potato"	0.0407355
"stumbling block"	0.0404696
iteration	0.0404299
))
(caseload (desc 4129.34) (sims
caseloads	0.269123
"national income"	0.141859
workload	0.128391
enrollment	0.125075
ridership	0.124011
backlog	0.121208
"elephant population"	0.119477
viewership	0.117142
"poverty rate"	0.107319
"gross national product"	0.107194
NPLs	0.105557
"work force"	0.105344
"tax base"	0.103186
"fertility rate"	0.10318
"crime rate"	0.099607
"operating budget"	0.099177
outlay	0.0990509
birthrate	0.0984573
enrollee	0.097543
"personal income"	0.0968916
workforce	0.0967114
"operating cost"	0.0966296
"production cost"	0.0947675
"body weight"	0.0941332
enrolment	0.0936009
"vehicle sale"	0.0930686
"debt load"	0.0930055
"labor force"	0.091748
"death rate"	0.0917448
GNP	0.0905712
"insurance premium"	0.0905027
readership	0.0904979
"asset value"	0.0902678
acreage	0.0897255
"gas price"	0.0893432
"mortality rate"	0.0869826
"birth rate"	0.0868395
"budget deficit"	0.0864442
"labor pool"	0.0863011
inventory	0.0855116
"oil production"	0.0852671
"steel production"	0.0846444
"seating capacity"	0.0843549
"bank rate"	0.0836772
"land area"	0.0832428
"medicare payment"	0.0830153
"non-performing loans"	0.0824128
"life expectancy"	0.0823123
mortality	0.0815877
"annual payment"	0.0811697
"labor cost"	0.0810939
"operating expenses"	0.0799846
"take-home pay"	0.0796995
"Official Development Assistance"	0.0796449
"purchase price"	0.0791688
"selling price"	0.0784227
"property tax"	0.0783765
"retail price index"	0.0779193
incidence	0.0775833
GDP	0.077142
indebtedness	0.0769282
"tax revenue"	0.0760784
"population density"	0.0760026
capitalization	0.0754961
"cost of living"	0.075493
"gross income"	0.0754055
"marketing cost"	0.0753237
"truck sale"	0.0752498
"capital expenditure"	0.0746812
joblessness	0.0740833
headcount	0.0737871
expenditure	0.0733007
"pretax profit"	0.0730485
"vacancy rate"	0.0730385
"voter turnout"	0.0727739
"surface area"	0.0725244
intake	0.0721406
lifespan	0.0720467
weighting	0.0719598
payroll	0.0715708
"mortgage rate"	0.0715608
"market share"	0.0714652
"gasoline tax"	0.0712722
"price pressure"	0.0710497
fourth-graders	0.0708827
"water table"	0.0705446
"tax rate"	0.0704956
"tax income"	0.0704723
"television revenue"	0.0703308
"cancer death"	0.0701251
"occupancy rate"	0.0699959
prevalence	0.0698247
"Social Security benefit"	0.0697388
"electric bill"	0.0696622
"gross domestic product"	0.0695916
allotment	0.0693393
eighth-graders	0.0693072
reimbursement	0.0692227
"viewing audience"	0.0688307
CPI	0.0685809
"rate of growth"	0.0684317
"tax bill"	0.0682959
docket	0.0682776
"standard of living"	0.0679237
"unemployment rate"	0.0677646
"tax bracket"	0.0677189
"market value"	0.0676627
"retail sale"	0.0675744
stockpile	0.0674177
turnout	0.0669642
"retail price"	0.0668613
circulation	0.066475
"freshman class"	0.0664368
"trade deficit"	0.065953
"average cost"	0.0658969
"factory order"	0.0655869
capitalisation	0.065417
"producer price"	0.0651351
"capital stock"	0.0651094
"borrowing cost"	0.0648014
"tax liability"	0.0643277
attendance	0.0642312
non-Social	0.0634872
"coca crop"	0.0634263
"Philippine Stock Exchange Index"	0.0634205
fatality	0.0633804
"defense budget"	0.0633285
FDI	0.0631848
"noise level"	0.063127
emission	0.0628752
horsepower	0.0627896
"turnover rate"	0.0625494
"earning per share"	0.0625042
"profit margin"	0.0619634
"net income"	0.0619029
"bond rating"	0.0618684
Tonnage	0.0613222
"waiting list"	0.061115
electorate	0.0607002
workweek	0.0605926
"housing sale"	0.0604679
PRICETAG	0.0604245
precipitation	0.0603607
"net profit"	0.0602963
"trade surplus"	0.0601036
clientele	0.059828
"home sale"	0.0595602
Diagnoses	0.0594768
dependence	0.0593401
"rate of inflation"	0.0593394
usage	0.059244
"retirement benefit"	0.0590748
"interest payment"	0.0590333
"heart rate"	0.0586816
"export sale"	0.0586298
"medical bill"	0.0585971
"estate tax"	0.0585639
"income tax"	0.0585094
"admission price"	0.058451
fertility	0.0584284
occupancy	0.0584236
"money supply"	0.0583641
receipt	0.0582435
"capital investments"	0.0580982
"production ceiling"	0.0580536
"air pollution"	0.0579038
"key rate"	0.0579007
width	0.0577914
congestion	0.0576775
Sensex	0.0575343
"cultivated land"	0.0573722
"sticker price"	0.0571643
Rolls	0.0570093
"insurance market"	0.0570075
"debt service"	0.0568967
"compensation package"	0.056794
influx	0.0566742
"flow rate"	0.0566598
"list price"	0.0566036
"consumer price index"	0.0565676
"foreign direct investment"	0.0565016
inflow	0.0564522
snowpack	0.0564063
"Producer Price Index"	0.0563505
density	0.0562279
populace	0.0561849
premium	0.0561727
test-takers	0.0561297
"blood pressure"	0.0556239
probability	0.0556106
"market penetration"	0.0555758
illiterate	0.0553889
ODA	0.055109
fibroids	0.0550725
"deficit spending"	0.055056
"consumer credit"	0.0549787
"nest egg"	0.0549532
interviewee	0.0548705
p/e	0.0546186
"inflation rate"	0.0537799
))
(caseloads (desc 1616.35) (sims
caseload	0.269123
"fertility rate"	0.171561
"water table"	0.161688
"poverty rate"	0.157562
birthrate	0.155804
"bank rate"	0.145514
"elephant population"	0.143542
"crime rate"	0.13734
"birth rate"	0.137025
"debt load"	0.135316
"marketing cost"	0.130946
"borrowing cost"	0.130807
"insurance premium"	0.130551
"production cost"	0.125426
ridership	0.124269
"occupancy rate"	0.123957
"gas price"	0.122936
joblessness	0.121235
"mortality rate"	0.118816
"death rate"	0.118623
NPLs	0.117381
"vacancy rate"	0.116684
"take-home pay"	0.116188
workload	0.113967
"mortgage rate"	0.112189
"selling price"	0.111049
"key rate"	0.109932
"medicare payment"	0.109376
"noise level"	0.104376
"cost structure"	0.103521
"operating cost"	0.103509
"bond rating"	0.102715
"admission price"	0.100993
"operating expenses"	0.10022
"labor cost"	0.0999997
"body temperature"	0.0993944
enrolment	0.0993767
"cost of living"	0.0993579
incidence	0.0989789
"interest expense"	0.0988157
viewership	0.0979785
recidivism	0.0979263
"Philippine Stock Exchange Index"	0.0977155
"blood pressure"	0.0971609
"non-performing loans"	0.0964326
"truck sale"	0.0957779
"turnover rate"	0.0956137
Rolls	0.0955047
"tax income"	0.0954322
"budget deficit"	0.0948644
"water level"	0.094094
enrollee	0.0939535
"life expectancy"	0.0938725
backlog	0.0936751
"electric bill"	0.0935721
enrollment	0.0918094
"standard of living"	0.091057
"retail price index"	0.0903698
"Straits Times Industrials Index"	0.0903298
"retail price"	0.0891582
"rate of growth"	0.0882641
mortality	0.0881241
"bond price"	0.0876835
"phone bill"	0.087618
"Bovespa Index"	0.0859166
"heart rate"	0.0858758
"consumer demand"	0.0858383
prevalence	0.0858329
"rate of inflation"	0.0856769
"home sale"	0.085271
workweek	0.084934
capitalisation	0.0847956
"surface area"	0.0844189
fertility	0.0844044
"service charge"	0.0841642
"tax liability"	0.0839671
absenteeism	0.0831706
"unemployment rate"	0.0826171
"oil production"	0.0824233
"tax bracket"	0.0816807
TAXES	0.0815887
"transfer payment"	0.0810916
"funds rate"	0.0810427
fibroids	0.0805237
"body weight"	0.0803401
"tax rate"	0.0799619
"flow rate"	0.0798171
"profit margin"	0.0797696
LDL	0.0793412
"dividend yield"	0.0790251
"personal income"	0.0782709
homeownership	0.0781607
Sensex	0.0777322
docket	0.0776177
"aircraft order"	0.0775769
"export sale"	0.0774741
"steel production"	0.07737
"trade deficit"	0.0772004
sub-indices	0.0766235
"South Korean won"	0.0765216
"food stock"	0.0762957
"blood sugar"	0.0762306
weighting	0.0760925
"tax revenue"	0.0760376
dependency	0.0759822
"trade surplus"	0.0758908
"inflation rate"	0.0753947
"New Zealand dollar"	0.0753547
intake	0.075059
"oil price"	0.0750067
"gasoline tax"	0.0746984
"entrance fee"	0.0741654
C-section	0.074016
"property tax"	0.0735024
"pay rate"	0.0734946
"Karachi Stock Exchange"	0.073449
co-payments	0.0733287
acreage	0.0732193
"Hang Seng China-Affiliated Corporations Index"	0.0729497
dosage	0.0727137
Fares	0.0726346
"Tokyo Stock Price Index"	0.0723332
caseworker	0.0719933
outlay	0.0718072
"test score"	0.0716074
salinity	0.0713639
"voter turnout"	0.0711887
"defense budget"	0.0710735
"average cost"	0.0707951
"Industrial Index"	0.0706816
"trade barrier"	0.0704954
threshhold	0.0702854
lifespan	0.0700481
indices	0.0698118
"share price"	0.0696093
"tax bill"	0.0695659
"housing sale"	0.0693364
"factory order"	0.0691243
headcount	0.0689248
"tax base"	0.0684928
"News Corp"	0.0682965
leu	0.0680538
"gross national product"	0.0680409
"Social Security benefit"	0.0680036
"Straits Times Index"	0.0676707
delinquency	0.0676466
reimbursement	0.0675838
usage	0.0674465
weightings	0.0673452
"asset value"	0.0672637
"capital expenditure"	0.0672487
HSI	0.0671719
dependence	0.0670962
"Canadian dollar"	0.0670403
Orders	0.0668451
payouts	0.0665957
"debt payment"	0.0662544
"cancer death"	0.0661902
"reaction time"	0.0660621
"earning per share"	0.0658059
"asking price"	0.0657898
"vehicle sale"	0.0657234
"inheritance tax"	0.0655143
won	0.0652898
"population density"	0.0652671
"market average"	0.0652607
allotment	0.0651542
"time deposit"	0.0650249
"purchase price"	0.0649684
"Second Board Index"	0.064947
"consumption tax"	0.0648216
inflow	0.0647825
"net income"	0.0647296
"response time"	0.0646423
occupancy	0.0643041
nuclei	0.0640898
"Nikkei Stock Average"	0.0638925
"annual payment"	0.0637416
CAC	0.0636824
"body count"	0.0636032
cutoffs	0.0633569
"air pressure"	0.0631675
remittance	0.0630734
density	0.0630131
overdraft	0.0629869
ODA	0.0627898
wattage	0.0626861
horsepower	0.0626176
"market penetration"	0.0622505
"telephone bill"	0.0622435
"Hang Seng"	0.0621857
co-payment	0.0621151
"Official Development Assistance"	0.06208
illiteracy	0.0618304
"bankruptcy case"	0.0618228
voltage	0.0617721
"juvenile delinquency"	0.0613406
"Singapore dollar"	0.0612571
CPI	0.0609676
blinder	0.0606719
))
(caseworker (desc 5779.95) (sims
"welfare worker"	0.121269
"social worker"	0.10294
"probation officer"	0.0915457
supervisor	0.0885626
counselor	0.0867093
paramedic	0.0784221
auditor	0.074147
trooper	0.0735033
caseloads	0.0719933
dispatcher	0.0714841
"divorce lawyer"	0.0702986
"department head"	0.0702757
staffer	0.0687129
firemen	0.0683091
lifeguard	0.068039
inspector	0.0678103
therapist	0.0665394
detective	0.0659793
administrator	0.0654668
veterinarian	0.0640287
"fire fighter"	0.0635712
"computer expert"	0.0635609
enumerators	0.063352
searcher	0.0626554
"FBI agent"	0.0622407
epidemiologist	0.0621004
salespeople	0.061572
clerk	0.0615655
technician	0.0607632
psychiatrist	0.0606826
"ticket agent"	0.0587224
"staff member"	0.0573647
receptionist	0.057116
"security guard"	0.0570729
"day laborer"	0.0570476
physician	0.0566956
midwife	0.0562375
"talent scout"	0.0560221
Hazelwood	0.0559879
educator	0.0557244
"union representative"	0.0555924
officals	0.0554927
"police detective"	0.0552721
cashier	0.0550087
"prison guard"	0.0548691
neurologist	0.0545381
CMAG	0.0544009
marshal	0.054319
warden	0.0536572
Procurator	0.0536555
Wilhelm	0.0534524
co-worker	0.0534511
firefighters	0.0534146
Sergeant	0.053194
dietitian	0.0530223
"intelligence agent"	0.0525108
decorator	0.0522767
Magistrate	0.0521926
Talebi	0.0518924
"temporary worker"	0.0515952
Ganzouri	0.0514572
recruiter	0.0513459
accountant	0.0510796
Caritas	0.0509602
housekeeper	0.0507869
podiatrist	0.0507785
Kasoulides	0.0507574
Sakakibara	0.050754
pharmacist	0.0507168
Haskins	0.0506591
Cavanaugh	0.0506288
keystroke	0.0506183
"Ethics Commission"	0.0504911
"federal agent"	0.0504123
psychologist	0.0503732
"planning board"	0.0503409
"top executive"	0.050273
"medical officer"	0.0500269
enrollee	0.0499737
"department employee"	0.0499596
Zou	0.0498795
bureaucrat	0.0495637
"public servant"	0.0495518
Biskind	0.0495376
"civil servant"	0.049461
operative	0.0493901
coworker	0.049358
"legal expert"	0.0492304
watcher	0.0489896
"special agent"	0.048979
controller	0.0488109
"local department"	0.0487508
"public defender"	0.048703
"foster mother"	0.0485286
salesperson	0.0484973
Jenoff	0.0484665
spotter	0.0483968
"real estate agent"	0.0482418
solicitor	0.0482096
"Consumer Product Safety Commission"	0.0481935
tutor	0.0480776
illegals	0.0480184
"board member"	0.0478505
parachutist	0.0476717
"information officer"	0.0475351
pediatrician	0.0472482
actuary	0.0472346
chaperone	0.0471461
"Bill Lockyer"	0.0471171
"Richard Blumenthal"	0.0470848
"project manager"	0.0470621
Hamid	0.0470498
"employment agency"	0.0469936
attendant	0.0469483
Gendarme	0.0468919
Nikitin	0.0468361
"military personnel"	0.0468311
Ruthardt	0.0467911
radiologist	0.0467784
criminologists	0.0466831
Donahue	0.0466289
interrogator	0.0465064
"Jim Harrick"	0.0464172
"census taker"	0.0463163
"business executive"	0.0462776
Napolitano	0.0460525
"Health Department"	0.0460501
cadre	0.0460207
babysitter	0.0459954
"military officer"	0.0459571
foremen	0.0459239
Jovanovic	0.0458978
nutritionist	0.0458565
Barrionuevo	0.0458335
"army officer"	0.0458304
D'Alessandro	0.045613
"campaign worker"	0.0456097
instructor	0.0455101
experimenter	0.0453305
Rong	0.0452537
sitter	0.0451226
teller	0.0451054
caregiver	0.0451004
statistician	0.0450488
ethicists	0.0450165
Councilors	0.0448807
"security staff"	0.0448806
Moratinos	0.044871
Meles	0.0448572
planner	0.0447087
"traffic cop"	0.044705
MTI	0.0445397
lobbyist	0.0444218
eyewitness	0.0443815
"National Guardsmen"	0.044294
neurosurgeon	0.0442731
"military police"	0.0442213
"foster parent"	0.0441463
trainee	0.0440874
surveyor	0.0439262
obstetrician	0.0437601
"math teacher"	0.0437505
onlooker	0.0437488
treasurer	0.0437105
"certified public accountant"	0.0436796
"guardian angel"	0.043619
"medical examiner"	0.0435947
"flight attendant"	0.0435772
"television reporter"	0.0435459
"inspector general"	0.0435319
"milk cow"	0.0434533
detector	0.0434121
translator	0.0432934
parolee	0.0432693
Fiorina	0.0432535
"science teacher"	0.0432497
cadet	0.0432396
CPA	0.0431633
al-Sahaf	0.04311
meteorologist	0.043077
tester	0.043043
interpreter	0.0429839
"district attorney"	0.0427437
Ikeda	0.0427337
"federal official"	0.0427224
pathologist	0.0426795
subordinate	0.0425955
"family doctor"	0.042559
"sales force"	0.0425299
examiner	0.0425137
biologist	0.0424969
surgeon	0.042468
gynecologist	0.0424462
janitor	0.0423699
helper	0.0423286
Stoyanov	0.0422543
"health care provider"	0.0421385
sixth-graders	0.0420738
caddie	0.0420341
Workers	0.0419493
))
(Casey (desc 14317.1) (sims
Brett	0.0861527
Garrett	0.0858384
Tim	0.085136
Baerga	0.0829229
Danny	0.0828763
Justin	0.0818045
Helton	0.081449
Jamie	0.0813432
Steve	0.081299
Brian	0.0812713
Eric	0.081005
Palmer	0.0807338
Owen	0.0805816
Kenny	0.0804512
McDaniel	0.0802367
Alfonzo	0.0797006
Segui	0.0790982
Curtis	0.0787164
Elliott	0.0783334
Brock	0.0775234
Josh	0.0773068
Surhoff	0.0770024
Ramirez	0.0767821
Oliver	0.0766711
Nelson	0.0764906
Greg	0.0763311
Jeb	0.0760107
Harrick	0.0759337
Craig	0.0759083
matt	0.0757592
Boone	0.0756895
Drew	0.0752652
Vaughn	0.0752075
Erstad	0.0750154
Scott	0.0748856
McNown	0.074877
Ferguson	0.0747815
Gomez	0.0745433
Larry	0.074457
Gonzalez	0.0740826
Cameron	0.0740261
Manuel	0.0738653
Galarraga	0.073848
Kevin	0.0732809
Lieberthal	0.0726393
Jake	0.0725629
Silas	0.072412
Greer	0.0723834
"Sean Casey"	0.0723753
Rodriguez	0.072234
Patrick	0.0720722
Jeff	0.0720568
Elway	0.0720466
Mitchell	0.0719989
Ripken	0.0719973
Brunell	0.0719402
Marty	0.0719028
Richard	0.0717094
Favre	0.0716841
Larkin	0.0716814
smith	0.0715681
Chris	0.0714475
Stanley	0.0713824
Blake	0.070902
wade	0.0707949
Cordero	0.0707773
Sampson	0.0705368
Shawn	0.0704711
Eddie	0.070436
Snyder	0.0704334
Steven	0.0704161
Todd	0.0704106
Terry	0.0704054
Fassel	0.0703149
Keenan	0.0702892
Alex	0.070227
Alicea	0.0702063
DONOVAN	0.0701891
Plummer	0.0701556
Luis	0.0698328
Riley	0.0697785
Evan	0.0697742
martin	0.0696586
Ramon	0.0695675
Gary	0.0695372
Lankford	0.0694149
Owens	0.0693964
Valentin	0.069275
Cabrera	0.0692293
Marvin	0.0691746
Avery	0.0690534
Erickson	0.0689481
Brister	0.068833
Griffey	0.0686526
Palmeiro	0.0685983
Henry	0.0683128
douglas	0.068242
Perez	0.0682234
Barry	0.068103
Monson	0.068036
Albert	0.0680297
Torres	0.0679864
Olerud	0.0679018
Barnett	0.0678165
Griese	0.0678123
Aaron	0.0678023
Alomar	0.0677687
Spencer	0.0677217
Rolen	0.067582
Bruce	0.0675032
Reese	0.0674213
Jeremy	0.0674108
Wilson	0.0673517
Shannon	0.0672615
Roger	0.0670617
Arnold	0.0670147
Ordonez	0.0669973
Dave	0.0669678
Clark	0.0669556
Sullivan	0.0669273
Anderson	0.0668961
Jimmy	0.0667943
Huard	0.0667801
Jason	0.0666996
ALLISON	0.0666571
Hollins	0.0666162
Cunningham	0.0665702
Walter	0.0665499
Bowman	0.0665419
Williams	0.0664954
Sosa	0.0664914
Dunston	0.0664754
Stewart	0.0663863
"Van Gundy"	0.0663347
Olson	0.0663162
Peter	0.0663106
Finley	0.0662462
Bordick	0.0662033
McCown	0.0661711
Cody	0.0661013
Giambi	0.0661002
Ryan	0.066061
Belichick	0.0660478
Flores	0.0660392
Jim	0.0660207
Thompson	0.0659052
Noel	0.0658897
Ledee	0.0657933
Jerry	0.0656969
Brady	0.0656909
Ortiz	0.0656181
Hoffman	0.0655124
Rivera	0.0654377
Alou	0.0654084
Groh	0.0653228
Jonathan	0.0653009
Reid	0.0652821
Carter	0.0652653
Watson	0.0651822
"George W."	0.065
Marino	0.0649966
Graham	0.0648668
Trevor	0.0648276
Michael	0.0648191
Matthew	0.0647157
Alexander	0.0646683
Marcus	0.0646308
Carl	0.0646225
Danforth	0.06451
Flutie	0.0645041
"Mark Grace"	0.0645008
Sean	0.0644115
Evans	0.0643226
Rick	0.0643044
Phil	0.0643019
Johnson	0.0642784
Shanahan	0.0642228
O'Leary	0.0641592
Saunders	0.0641572
mike	0.0641478
Jenkins	0.064078
Tony	0.0640647
Batista	0.0640503
Morgan	0.0639446
Joshua	0.0638592
sandy	0.0638335
Sam	0.0637026
Gordon	0.0635928
Joey	0.0635912
Harbaugh	0.0635505
Wyatt	0.0634827
Aikman	0.0634814
Landry	0.0633907
Barnes	0.0633126
Drexler	0.0632858
Berenson	0.0632753
Valerie	0.0632626
walker	0.0631994
Leslie	0.063058
Billy	0.063036
))
("Casey Martin" (desc 3203.55) (sims
"Nick Price"	0.150625
"John Daly"	0.146975
"Fred Couples"	0.142408
"Paul Azinger"	0.14143
"Tom Lehman"	0.138177
"Jack Nicklaus"	0.136821
"Jim Furyk"	0.124684
"David Duval"	0.123812
"Nick Faldo"	0.123699
"Ernie Els"	0.122485
"Steve Pate"	0.120379
"Steve Elkington"	0.119817
"Davis Love III"	0.119204
"Corey Pavin"	0.115247
"Mark Calcavecchia"	0.114376
"Jeff Sluman"	0.111603
"Sergio Garcia"	0.111597
"Vijay Singh"	0.108975
"Mark O'Meara"	0.108713
"Greg Norman"	0.10861
"Payne Stewart"	0.108021
"Phil Mickelson"	0.107793
"Hal Sutton"	0.107036
"Lee Westwood"	0.104468
"Lee Janzen"	0.103691
"Justin Rose"	0.0993424
"Olin Browne"	0.0991993
"Tom Watson"	0.0986789
"Paul Lawrie"	0.0984066
"Karrie Webb"	0.0971515
"Stewart Cink"	0.0964316
"Bernhard Langer"	0.0953528
"Arnold Palmer"	0.0948655
"Mike Weir"	0.0947231
"Colin Montgomerie"	0.0939032
"Justin Leonard"	0.0936988
"Jose Maria Olazabal"	0.0935634
"Tiger Woods"	0.0933444
"HANK KUEHNE"	0.0928029
"Fred Funk"	0.0926155
O'Meara	0.090221
"Stuart Appleby"	0.0882426
"Jesper Parnevik"	0.0879172
"Se Ri Pak"	0.0862669
"Billy Mayfair"	0.0858307
"Larry Mize"	0.0839601
"Larry Nelson"	0.0832091
"Steve Stricker"	0.0831555
"Scott Verplank"	0.0802789
Faldo	0.078141
"Nancy Lopez"	0.0774976
"Carlos Franco"	0.0774873
Duval	0.0763973
"Tom Kite"	0.07524
Parnevik	0.0747024
"John Huston"	0.0739113
Ochoa	0.0737764
"Annika Sorenstam"	0.0732892
Kuchar	0.0725625
"Craig Parry"	0.0711838
"Jay Haas"	0.0709848
"Tim Herron"	0.0706682
"Ian Woosnam"	0.0687875
"Brad Faxon"	0.0684659
Lawrie	0.068168
"Jean Van de Velde"	0.0678003
Sutton	0.0675819
"Juli Inkster"	0.0669952
"Scott Hoch"	0.0667086
"J.R Redmond"	0.0660272
Gogel	0.0656384
"Mark Brooks"	0.0647515
Chuasiriporn	0.0643519
Langham	0.0643255
"Jose Jimenez"	0.0641588
Montgomerie	0.0641206
"Kirk Triplett"	0.0635947
"Hale Irwin"	0.0623716
Mickelson	0.0620841
"Gary Player"	0.0619156
"Jeff Maggert"	0.0616725
Maruyama	0.0615981
Montoya	0.0615871
Appleby	0.0615658
"Ralf Schumacher"	0.0615182
"Brian Watts"	0.0612689
Fleisher	0.0609877
Lehman	0.0604836
hatchback	0.0600717
Janzen	0.0597781
"Lee Trevino"	0.0591877
"Darren Clarke"	0.0589539
Hoch	0.0587839
"Paula Corbin Jones"	0.0586329
Khorkina	0.0585678
"Andrew Coltart"	0.0583682
Nicklaus	0.0581994
Inman	0.0581435
"Jacques Villeneuve"	0.0581012
"Laura Davies"	0.0580906
Furyk	0.0579126
Clinton-Lewinsky	0.057517
Olazabal	0.0571697
"Gene Sarazen"	0.0567861
Kuehne	0.0565282
Kournikova	0.0562452
Santangelo	0.0561248
Andrade	0.0560927
Westwood	0.0559528
"Padraig Harrington"	0.0557983
"Matt Kuchar"	0.0557096
Lafleur	0.0556658
"Davis Love"	0.0556288
"Johnny Miller"	0.0556114
"John Cook"	0.0553546
Schoeneweis	0.0548767
Livoti	0.0544049
Antley	0.0543425
Inkster	0.0542334
Cavs	0.0541069
"Todd Husak"	0.0540965
"Shigeki Maruyama"	0.054092
estes	0.0540071
"Randall Simon"	0.0539549
"Peter Jacobsen"	0.0538969
"Bruce Fleisher"	0.0538926
"Andrew Magee"	0.0536549
Irwin	0.0536296
McCarron	0.0535523
"Van Roost"	0.0535387
Brack	0.0534642
"Curtis Strange"	0.0533894
Cink	0.0532656
Maggert	0.0530317
Garcia	0.0529125
"Steve Jones"	0.0528542
"Gil Morgan"	0.0528104
"Buckshot Jones"	0.0527197
"Ben Crenshaw"	0.0525477
Sorenstam	0.0523332
"Craig Stadler"	0.0523106
"Bob Estes"	0.0520597
"Bob Tway"	0.0519965
"Carlos Beltran"	0.0519771
Gambill	0.0518629
Ankiel	0.0516486
Yount	0.0516467
Fordice	0.0515245
"David Frost"	0.0514826
"BRIAN MEADOWS"	0.051473
"Lou Merloni"	0.0513756
Suker	0.0512961
"Pat Burrell"	0.0511041
"John Rocker"	0.0510219
Paes	0.0508999
Mashburn	0.050866
Mehmet	0.0508544
Janikowski	0.0508335
"Bobby Jones"	0.05081
Huston	0.0508035
"Seve Ballesteros"	0.0507502
BEGAY	0.0506717
"Leon Smith"	0.0505774
Singh	0.0505643
"Billy Boat"	0.0503979
Szczerbiak	0.0503527
Stadler	0.0502791
Ruthardt	0.0502066
trash-talking	0.0500596
Kasparov	0.0500177
"Juwan Howard"	0.0499424
"Champ Bailey"	0.0498784
Kiefer	0.0498292
Holdsclaw	0.0495005
Meche	0.049403
Pavano	0.0493768
Swann	0.049339
"Michael Olowokandi"	0.0492696
"Charles Woodson"	0.0489895
"Chris Drury"	0.0488861
armoire	0.0486889
"Paul Pierce"	0.0485241
"Tom Brady"	0.0484584
Moya	0.0483963
Razorback	0.0483116
Waltrip	0.0482679
Vieri	0.0482653
el	0.0480905
"Mark Madsen"	0.0480528
"Michael Booker"	0.0479662
Leonard	0.0479241
"Elton Brand"	0.0478474
"A.P Indy"	0.0478341
Schnyder	0.0477481
Beltre	0.0475662
Bratton	0.0475042
Paulson	0.0474189
Horton	0.0472789
Rueter	0.0472745
DeBerg	0.04719
))
(cash (desc 122626) (sims
money	0.256161
fund	0.177649
saving	0.14523
loan	0.141349
payment	0.136548
donation	0.133455
dollar	0.131778
asset	0.128229
revenue	0.125708
funding	0.122274
profit	0.121429
bribe	0.120539
"amount of money"	0.120138
credit	0.116952
financing	0.113589
bonus	0.11243
deposit	0.112272
debt	0.111414
stock	0.111353
proceeds	0.10963
contribution	0.109284
fee	0.108527
equity	0.108222
investment	0.107948
"cash payment"	0.107822
income	0.107377
bond	0.107217
aid	0.105346
food	0.104178
grant	0.104169
subsidy	0.103358
compensation	0.102144
sum	0.100416
"foreign exchange"	0.100302
currency	0.0999946
tax	0.0990699
goods	0.0989449
check	0.0980007
gift	0.0975991
"stock option"	0.0972467
share	0.0970856
billion	0.0962777
salary	0.0956594
"sum of money"	0.0953592
dividend	0.0943405
"credit card"	0.0942123
liquidity	0.0941532
"tax revenue"	0.093805
amount	0.0937685
fuel	0.0937354
refund	0.0920105
supply	0.0919566
ticket	0.091744
assistance	0.0911096
"venture capital"	0.0910638
resource	0.0908216
wealth	0.0900936
merchandise	0.089764
wage	0.089309
million	0.0891334
mortgage	0.0887929
"tax break"	0.0880735
surplus	0.0876669
incentive	0.0874597
account	0.086184
jewelry	0.086087
worth	0.0856723
"financial aid"	0.0853206
benefit	0.0851977
kickback	0.0843212
premium	0.0840164
reserve	0.0839375
information	0.0837909
"about $@@ million"	0.0832362
ruble	0.0829434
coupon	0.0823164
pension	0.0822345
scholarship	0.0820726
card	0.0817769
earnings	0.0814124
"prize money"	0.0813068
energy	0.0811223
"tax credit"	0.0805658
cost	0.080366
capital	0.0802913
equipment	0.0799317
oil	0.0797863
weapon	0.0792853
insurance	0.0792458
receipt	0.0789753
material	0.0788493
payoff	0.0788246
Coin	0.0786841
discount	0.07821
"bank account"	0.0779622
expense	0.0775085
"about $@@@ million"	0.0773255
rebate	0.0772607
property	0.0768871
sale	0.0768825
support	0.0768739
"mutual fund"	0.0764633
drug	0.0763709
ammunition	0.0760674
gold	0.0760021
"food aid"	0.0759374
purse	0.075625
certificate	0.0756098
Ransom	0.0752284
purchase	0.075053
package	0.074466
talent	0.0743829
rent	0.0743803
"legal fee"	0.0742972
item	0.0741707
portfolio	0.0740118
interest	0.0738827
option	0.0734662
spending	0.0734139
"million dollars"	0.0733286
Manpower	0.0732763
prize	0.073071
contract	0.0729995
inventory	0.0728496
guarantee	0.0727872
transaction	0.0720063
grain	0.0719675
"about $@@@,@@@"	0.0719119
penny	0.0719091
deal	0.0716471
budget	0.0716097
paycheck	0.071463
job	0.0712334
cocaine	0.0711123
dlrs	0.0710446
royalty	0.071008
gain	0.0706892
toy	0.0706786
document	0.0703424
"working capital"	0.0703318
product	0.0702014
reward	0.0701446
data	0.0696162
bill	0.0691681
value	0.0691445
diamond	0.0689984
fine	0.0689886
commodity	0.068985
euros	0.068719
belonging	0.0686231
offering	0.0685789
severance	0.0683946
gun	0.0680767
note	0.0680504
"nearly $@ million"	0.0679725
relief	0.0679492
holding	0.0678291
damage	0.0678098
gasoline	0.0677166
water	0.067701
gas	0.0674534
"real estate"	0.0674468
business	0.0674238
"capital gain"	0.0672903
"spare part"	0.0672664
electricity	0.0667733
land	0.066671
restitution	0.0664159
windfall	0.0663884
price	0.0660896
reimbursement	0.0660833
voucher	0.0659238
buck	0.0659057
Advertising	0.0655216
Tuition	0.0654991
"down payment"	0.065207
oxygen	0.065141
customer	0.064971
return	0.0647802
"tax cut"	0.0647368
"trust fund"	0.0646053
borrowing	0.0646016
flow	0.0645746
"about $@ million"	0.064401
service	0.0643538
"about $@@,@@@"	0.0641839
security	0.0638194
medicine	0.0635914
boost	0.0634513
blood	0.0634503
"life insurance"	0.0634121
Clothing	0.0633626
bank	0.0633294
increase	0.0632382
vote	0.063064
"common stock"	0.0629235
"medical care"	0.0628802
annuity	0.0627653
"income tax"	0.0627308
"savings account"	0.0627282
))
("cash bonus" (desc 2091.51) (sims
"profit sharing"	0.158015
perquisite	0.130593
"death benefit"	0.127455
stipend	0.113404
bonus	0.110506
"annual payment"	0.0990455
"pay raise"	0.0989364
perk	0.0945396
"cash payment"	0.0936368
"golden parachute"	0.0823171
"a few thousand dollars"	0.0782289
severance	0.0780398
"pretax charge"	0.0756516
"disability payment"	0.0755078
"parking ticket"	0.0751268
BMWs	0.0741217
"equity investment"	0.0737746
reimbursement	0.0732274
"tax benefit"	0.0726565
allowance	0.0723033
"fringe benefit"	0.0712927
"speeding ticket"	0.070839
"tax credit"	0.0704811
"stock option"	0.0703639
profit-sharing	0.0697266
"job security"	0.069565
"cold shoulder"	0.0687157
co-payments	0.0679689
increment	0.0677055
payouts	0.0676455
"tax advantage"	0.0676448
"wage increase"	0.0674878
"health benefit"	0.0669788
kickback	0.0662261
"form letter"	0.0645404
abatement	0.0643367
arrears	0.0642165
"boarding pass"	0.0640912
alimony	0.0638464
"child support"	0.0637206
"almost $@@@,@@@"	0.0637037
"retirement benefit"	0.0635237
"paid vacation"	0.0635219
"ransom money"	0.062979
"wage freeze"	0.0627952
"tax treatment"	0.0623643
"legal fee"	0.0621328
"time off"	0.0620315
"tax break"	0.0612923
outlay	0.0608345
"equity stake"	0.0604903
"interest income"	0.0603164
"tax incentive"	0.0602399
"prize money"	0.0598735
"capital investments"	0.0596934
thumbs-up	0.0596445
"nest egg"	0.0595493
knighthood	0.0595325
enticement	0.0593022
"personal loan"	0.0588108
"marriage proposal"	0.0583803
"seal of approval"	0.05835
"home mortgage"	0.0580229
"compensation package"	0.0579964
"club membership"	0.0577518
residual	0.0574926
"one penny"	0.0574915
"operating cost"	0.0574716
"work permit"	0.0573868
"sick leave"	0.0572418
"sick pay"	0.0568624
write-off	0.056733
payout	0.0563446
indemnity	0.056155
remuneration	0.05608
"employment contract"	0.0560519
"credit line"	0.0560144
savings	0.0557075
counterbid	0.0554758
commendation	0.0554038
"hush money"	0.0550899
"tax deduction"	0.0548796
"bill of health"	0.0548736
feeler	0.0546981
"living wage"	0.0544709
paycheck	0.0539948
"one share"	0.0539163
obeisance	0.053673
invoice	0.0534082
"management fee"	0.053306
"margin call"	0.0531779
appropriation	0.0531077
"record price"	0.0529284
"licensing fee"	0.0528814
cheque	0.0528489
Ransom	0.0527037
"user fee"	0.0526423
gratuity	0.0522353
kudos	0.0520113
infusion	0.0519744
"disability insurance"	0.0518145
fillip	0.0517492
"export credit"	0.0517312
"financial loss"	0.0516772
remittance	0.0515964
"list price"	0.0515759
"capital gain"	0.0510245
"stamp duty"	0.0507976
"shareholder value"	0.0507234
bounty	0.0505473
"eye opener"	0.0505183
smooch	0.0505042
"budget cut"	0.0500124
"good word"	0.049907
freebie	0.0498728
"consumer loan"	0.0495787
"domed stadium"	0.0495113
"disability benefit"	0.0494544
"gross income"	0.0492596
markup	0.0487729
handout	0.0485673
debit	0.0481965
"Emmy Award"	0.0481451
"car insurance"	0.0478222
"line of credit"	0.0477465
"positive feedback"	0.0475731
"top billing"	0.04753
"bar mitzvah"	0.0474144
payday	0.0473997
"life insurance"	0.0472025
"production cost"	0.0471755
"truck sale"	0.0470669
zillion	0.0470585
"bank deposit"	0.0470451
"order form"	0.0469077
win-win	0.046814
"Bronze Star"	0.0467504
"interest payment"	0.0467444
"dental care"	0.046623
added-value	0.0465473
"airplane ticket"	0.0463366
send-off	0.0462088
inattention	0.0461774
"down payment"	0.0461453
copayments	0.046095
"street address"	0.0457107
"sum of money"	0.0456498
bequest	0.0455186
"job cut"	0.0450665
monies	0.045059
fellowship	0.0450492
"more than @@@ million dollars"	0.0450276
ex-convicts	0.0449787
RM@@@	0.0449289
"four @-pointers"	0.0447163
"operating expenses"	0.0447151
inducement	0.0447066
comedown	0.0445992
"raw data"	0.0444649
"food stamp"	0.0444119
"admission fee"	0.0444059
"RM@@,@@@"	0.0443974
"nearly $@.@ million"	0.0443609
"tax reduction"	0.0443575
jackpot	0.0442798
"entrance fee"	0.0441999
airfare	0.044099
"word of advice"	0.0439753
dowry	0.0439002
"almost $@@,@@@"	0.0438506
"sneak preview"	0.0438478
"athletic facility"	0.0438427
"hypodermic needle"	0.0437432
"Social Security benefit"	0.0436906
"data file"	0.0436582
"shock therapy"	0.0436464
"all clear"	0.0436102
"almost $@ million"	0.0436031
make-over	0.0434397
"breathing space"	0.0434369
"pretax loss"	0.0434019
respite	0.0432737
hand-me-down	0.0431361
sendoff	0.0430308
IOU	0.0429077
"tool kit"	0.0428375
"Silver Star"	0.0426845
"almost $@@ million"	0.0425569
deferral	0.0425142
salutation	0.0424497
"purchase order"	0.042399
roadmap	0.0423064
"order book"	0.0421311
freebies	0.0421222
"two cents"	0.0421217
"pain in the neck"	0.0421203
mammograms	0.0418993
ILGO	0.0418451
"customs duty"	0.0417691
"admission price"	0.0416599
))
("cash cow" (desc 5091.4) (sims
"white elephant"	0.0823973
moneymaker	0.0764645
no-brainer	0.0698753
"takeover target"	0.0677316
"measuring stick"	0.0638029
half-full	0.0584981
"test case"	0.057517
"sounding board"	0.0573952
bonanza	0.0569247
"battering ram"	0.0560282
"front man"	0.0557787
"stumbling block"	0.0550507
"stepping stone"	0.0536605
"sitting duck"	0.0535288
savior	0.0533383
"bargaining chip"	0.0531365
albatross	0.0530733
"treading water"	0.0523469
"reference point"	0.0521356
"guardian angel"	0.0518014
endorser	0.0517614
panacea	0.051661
steppingstone	0.050978
boon	0.049979
"success story"	0.0498146
cure-all	0.0495653
"punching bag"	0.049489
"dairy cow"	0.0494478
"pain in the neck"	0.0493037
barometer	0.0491651
comedown	0.0489915
hangout	0.0487197
guarantor	0.0485084
"ball club"	0.0481925
aphrodisiac	0.0481343
turnoff	0.0480928
crapshoot	0.0479441
immortal	0.0478967
laggard	0.0478942
cog	0.0475358
"proving ground"	0.0474713
nonevent	0.0471389
fundraiser	0.0470679
"drawing card"	0.0464605
win-win	0.0464508
wellspring	0.0461819
catalyst	0.0461693
impediment	0.046152
"breeding ground"	0.0457554
"guinea pig"	0.0457208
"building block"	0.0456715
"background noise"	0.0454538
bellwether	0.045369
repository	0.0452386
"rallying point"	0.0450625
"base of operations"	0.044764
copout	0.0446893
adversary	0.0442083
"monkey wrench"	0.0441688
kingmaker	0.0441604
cesspool	0.0439932
near-monopoly	0.0439918
"trade secret"	0.0439043
afterthought	0.04385
pluses	0.0438174
adopters	0.0433602
gatekeeper	0.0433119
"flash point"	0.0432963
"meeting place"	0.0431806
battleground	0.04283
surrogate	0.0427228
motivator	0.0426724
underachiever	0.0426718
"hole in the ground"	0.0426632
pitchman	0.0424573
"role model"	0.0423525
fief	0.0422963
"trump card"	0.0421942
blockbuster	0.0420918
steamroller	0.0420159
"police state"	0.0419586
"business line"	0.0419042
"component part"	0.041865
identifier	0.0417352
workhorse	0.0416971
"wild horse"	0.0416495
voyeur	0.0414816
"growth industry"	0.041309
"turning point"	0.0412901
taboo	0.0410946
"ownership stake"	0.0407871
"purchasing agent"	0.040777
shipbuilder	0.0407207
"melting pot"	0.0406653
magnet	0.0406569
arch-rival	0.0406325
"ghost town"	0.0406176
licensee	0.0406054
"launching pad"	0.0405392
yardstick	0.0405372
"mushroom cloud"	0.0405003
"guessing game"	0.0403542
windfall	0.0403439
"eye opener"	0.0402063
"legal tender"	0.0401858
stand-in	0.0401782
doormat	0.0401448
))
("cash crunch" (desc 864.107) (sims
"liquidity problem"	0.272342
"crop failure"	0.143516
"accounting problem"	0.123543
crunch	0.121116
indigestion	0.119004
"identity crisis"	0.112686
"cold wave"	0.11258
"crisis situation"	0.112041
sunburn	0.107791
"price pressure"	0.107389
famine	0.105454
reflux	0.103303
"power failure"	0.10248
"nervous breakdown"	0.102305
"production problem"	0.101704
constipation	0.1014
"margin call"	0.100556
"engine failure"	0.100537
"price competition"	0.0999787
heatwave	0.0997074
"debt problem"	0.0987582
gangrene	0.0977167
rainout	0.0967346
draught	0.0964527
"asthma attack"	0.0944834
rationing	0.0941552
hardship	0.093658
bottleneck	0.092946
selloffs	0.09291
"brain drain"	0.0927971
scarcity	0.0926344
"traffic jam"	0.0926047
overcapacity	0.0920168
breakage	0.0915031
malformation	0.0899911
brouhaha	0.0886392
turbulence	0.0880491
deflation	0.0880223
"dust storm"	0.0874283
"drug problem"	0.0872225
conflagration	0.0867085
"moral hazard"	0.0864817
"tax income"	0.0858986
belt-tightening	0.085607
crimp	0.0855356
glut	0.0854816
"cold spell"	0.085259
"mental disorder"	0.0850296
"back pain"	0.0849371
upheaval	0.0847227
"business condition"	0.084133
pandemonium	0.0840575
snafu	0.0839612
gridlock	0.0838713
crosswind	0.0838105
logjam	0.0837809
cirrhosis	0.0821533
downturns	0.0818488
"financial loss"	0.0814436
stagnation	0.0810898
nosebleed	0.0807664
sell-offs	0.0805381
"eye disease"	0.0798796
stomachache	0.0798214
"skin rash"	0.0795621
hyperinflation	0.079529
destabilization	0.0794694
"heat wave"	0.0791691
relapse	0.0790889
shakeout	0.0789317
"respiratory disease"	0.0786853
subsidence	0.0784899
sandstorm	0.0773628
wrangle	0.0771033
"proxy fight"	0.0769952
convulsion	0.076876
oversupply	0.0765924
"bear market"	0.0765034
Ostracism	0.0764127
agitation	0.0763107
outage	0.0758016
heartburn	0.0756431
miscalculation	0.0755304
"drug addiction"	0.07553
"contagious disease"	0.0749437
abscess	0.074677
myopia	0.0745569
"budget cut"	0.074435
"water pollution"	0.0743179
"management shakeup"	0.0742815
stayaway	0.0742114
"Strategic Petroleum Reserve"	0.0741242
outages	0.0739993
"writer's block"	0.0739794
headwind	0.0738332
side-effects	0.0736713
"neurological disorder"	0.0736028
"hot flash"	0.0731196
drownings	0.0729826
"sonic boom"	0.0725289
"rheumatoid arthritis"	0.0717591
gastroenteritis	0.0716697
calamity	0.0714486
"safety problem"	0.0714296
ruckus	0.0713858
homesickness	0.070867
deformation	0.0706637
stalemate	0.0704549
dimple	0.0704404
downdraft	0.0701812
regression	0.0700797
"emotional distress"	0.0697705
"chest pain"	0.0695134
"brush fire"	0.0691711
palpitation	0.0691336
botulism	0.0690937
"economic condition"	0.0690534
rift	0.0690497
"triple play"	0.0686885
backlog	0.0686262
firestorm	0.0685266
disunity	0.0684967
"plant closing"	0.0678535
hiccup	0.0676314
dislocation	0.0675978
"soil erosion"	0.0675464
"price cutting"	0.0674608
infirmity	0.0674567
deformity	0.0672755
"covert operation"	0.0672188
frostbite	0.0670334
hassle	0.0670133
tie-up	0.0669111
"work stoppage"	0.0667189
"dog bite"	0.0665747
ignominy	0.0665573
"acid rain"	0.0665201
oligarch	0.0663876
squall	0.0660799
mixup	0.0660155
blockage	0.0656604
"medical exam"	0.0656182
infighting	0.0654629
"morning sickness"	0.065313
Burnout	0.0652726
whiplash	0.0651486
insufficiency	0.0650759
emphysema	0.0649862
"test-tube baby"	0.0648101
tumult	0.0647905
deprivation	0.0647366
desertification	0.0647164
Khabarovsk	0.0646196
foul-up	0.064455
"earnings disappointment"	0.0643621
"crash landing"	0.0643247
"nose dive"	0.0642345
"investment climate"	0.0640384
whipping	0.0638211
overproduction	0.0638164
joblessness	0.0637874
"food poisoning"	0.0636399
brownout	0.0636343
dehydration	0.0636278
cataclysm	0.0635209
hernia	0.0633198
"labor dispute"	0.0631983
heartache	0.0631882
angina	0.062771
adversity	0.0625561
inhalation	0.0624831
depletion	0.062324
dilution	0.0621079
goal-scorer	0.0620058
"neurological disease"	0.0617963
Bedlam	0.0617919
sluggishness	0.0614013
"liver disease"	0.0610772
"mental anguish"	0.0608885
malaise	0.0607406
"tax liability"	0.0605791
"Human Rights Commission"	0.060482
downslide	0.0604525
aggravation	0.0604506
"production ceiling"	0.0604246
"cold weather"	0.0602814
anemia	0.0602348
swoon	0.0602244
"first pitcher"	0.0601021
"skin disease"	0.0600706
mishap	0.0599896
derailment	0.0598981
Psychosis	0.0597406
Problems	0.0595415
"high tide"	0.0594679
"market condition"	0.0592155
double-teams	0.0590196
"short circuit"	0.0589318
snowstorm	0.058911
acne	0.0585663
))
("cash machine" (desc 2726.7) (sims
"automated teller machine"	0.149786
atm	0.13858
"automatic teller machine"	0.0972564
"service station"	0.082871
"branch office"	0.0802538
debit	0.0786095
teller	0.0763974
kiosk	0.0750282
"phone system"	0.072897
"business establishment"	0.070433
"fiber optic cable"	0.0688866
eateries	0.0681489
defibrillator	0.0659935
overdraft	0.0654876
"data communication"	0.0653099
"cellular telephone"	0.0648032
"data system"	0.0646365
WAP	0.0644457
"wireless telephone"	0.0640598
switchboard	0.0628311
ECN	0.0621852
"voting machine"	0.0616082
"slot machine"	0.0608359
"prostate gland"	0.060798
"filling station"	0.0604821
router	0.0598338
"money order"	0.0594018
"military installation"	0.0593012
"insurance agent"	0.0589361
"charge card"	0.0588844
"bank card"	0.0585867
pagers	0.0582337
"dairy farm"	0.0578198
beepers	0.0577417
hotspots	0.057667
dealerships	0.0576176
"subsidiary company"	0.0574827
transmitter	0.0574145
"retail operation"	0.0571051
IC	0.0570794
"weather station"	0.0570321
"electrical power"	0.0569368
"beauty salon"	0.0567432
"gas station"	0.0566685
"card holder"	0.0566425
"vending machine"	0.0565508
supercomputers	0.0564536
"radio telescope"	0.0563068
"cable system"	0.0557459
"robbery suspect"	0.0556094
"Print Shop"	0.0549523
"phone line"	0.0549313
"jewelry store"	0.0549167
"commercial enterprise"	0.0548265
"telephone exchange"	0.0544262
"control system"	0.0543819
"brokerage account"	0.0543408
"cash register"	0.054251
CDMA	0.0535998
"certificate of deposit"	0.0535173
PCI	0.0534239
"drilling rig"	0.0534027
"telephone directory"	0.0533326
"temporary worker"	0.0528536
"fax machine"	0.0525152
"delivery service"	0.0524606
"public transport"	0.0522793
"radio transmitter"	0.0521874
"slush fund"	0.0520406
Concordes	0.0518612
motorbike	0.0516003
"transportation system"	0.0513801
"hand-held computer"	0.0513502
"desktop computer"	0.0513489
"money changer"	0.0512903
photocopier	0.0512496
"X-ray machine"	0.0511804
sensor	0.0510054
"trading system"	0.050969
"telephone line"	0.0508168
"Medicare HMO"	0.0508057
"Palm VII"	0.0507751
"phone service"	0.0506753
"portable computer"	0.0505556
"mainframe computer"	0.0504948
"music school"	0.0503441
"telephone service"	0.050228
"safety belt"	0.0501987
bottlers	0.0501765
"distribution network"	0.0501255
pager	0.0498997
"traffic light"	0.0498249
"last two digits"	0.0497794
"travel agency"	0.0497179
ATHOME	0.0497093
"scoring system"	0.0496073
"gasoline station"	0.0493893
"manufacturing business"	0.0493309
"liquor store"	0.0491493
"hearing aid"	0.0490313
"spy satellite"	0.0489477
ISDN	0.0488921
broadband	0.0487609
spigot	0.0483881
telemedicine	0.0483324
amputee	0.0483102
Rezulin	0.048182
parolee	0.0480765
"optical fiber"	0.0480581
"phone booth"	0.0479965
faucet	0.0479774
stents	0.0479713
rickshaw	0.0479507
"septic tank"	0.0478975
"dry cleaner"	0.047771
defibrillators	0.0477092
"petrol station"	0.0476697
enrollee	0.0476552
Beijingers	0.0476331
"traveler's check"	0.0475973
scanner	0.0475352
"electrical device"	0.0475086
"clearing house"	0.0473895
"light touch"	0.0471411
"shuttle bus"	0.0470287
"communications equipment"	0.0468928
gyroscope	0.0466561
"chain store"	0.0466192
watercraft	0.0464907
Gnutella	0.0464798
transponder	0.0464596
"dog bite"	0.0463566
"particle accelerator"	0.0463409
"laptop computer"	0.0462662
"cable operator"	0.0460958
"life insurer"	0.045918
pawnshop	0.045807
hyphen	0.0458028
arcade	0.0457989
"telephone system"	0.0457824
gadget	0.0457764
"cellular phone"	0.0456747
"investment portfolio"	0.0456441
"public toilet"	0.0455723
ISPs	0.0454448
spas	0.0453852
sonar	0.0451794
newsgroups	0.0451779
winch	0.0450511
"incentive program"	0.0449448
"communications network"	0.0447703
"educational institution"	0.044749
"member bank"	0.0447075
cellphone	0.0446838
"beauty parlor"	0.0446757
"telephone network"	0.0446587
gallstone	0.0446398
snowplow	0.0445554
"British people"	0.0445075
"disk jockey"	0.0444911
"butcher shop"	0.0444873
spinnaker	0.0444353
intranet	0.0444238
"drug user"	0.0443658
"magnifying glass"	0.0441178
trespasser	0.0440889
pizzeria	0.0439768
"car window"	0.0439028
"cable television"	0.0438823
"memory chip"	0.0438733
"weather satellite"	0.0438476
injector	0.0438054
"land mine"	0.0438051
"utility program"	0.043546
surcharge	0.0434945
Nicaraguan	0.0434688
notary	0.0434466
workstation	0.0434062
telemarketers	0.0434054
accelerator	0.0433334
"mechanical device"	0.0433098
"Medicare HMOs"	0.0432827
"field hospital"	0.043226
pushcart	0.0431091
"electric power"	0.0430884
"fire extinguisher"	0.0429771
"bankruptcy filing"	0.0429734
"television set"	0.042937
"religious school"	0.042919
"retail store"	0.0428734
"videocassette recorder"	0.0428523
ACL	0.0428523
"computer technology"	0.0427583
toaster	0.0427516
interceptor	0.0424957
"fire wall"	0.0424779
FireWire	0.0424695
"key rate"	0.042467
jeepney	0.0422884
bed-and-breakfasts	0.042252
))
("cash payment" (desc 8377.96) (sims
kickback	0.1651
bribe	0.159776
inducement	0.145644
payment	0.141022
payoff	0.139832
bonus	0.117696
gift	0.115488
scholarship	0.115255
subsidy	0.110734
restitution	0.110547
"ransom money"	0.110159
"annual payment"	0.108808
cash	0.107822
"tax break"	0.104506
"tax credit"	0.104253
"financial aid"	0.104137
"medical care"	0.103133
compensation	0.102409
donation	0.102222
reimbursement	0.101818
alimony	0.101437
"retirement benefit"	0.09483
"cash bonus"	0.0936368
stipend	0.0935724
gratuity	0.0931905
payout	0.093022
payouts	0.0929856
"tax incentive"	0.0922757
Ransom	0.0922496
allowance	0.0910047
contribution	0.089847
bequest	0.088004
incentive	0.0879599
reparation	0.0866899
"pay raise"	0.0852269
"wage increase"	0.0850966
"food stamp"	0.0850403
assistance	0.0847699
fee	0.0844066
overpayment	0.0837345
"death benefit"	0.0822778
"stock option"	0.0821533
salary	0.0815925
"down payment"	0.0814724
"personal loan"	0.081042
"pay cut"	0.0803191
infusion	0.0802429
savings	0.0783266
pension	0.0775252
severance	0.0773617
"job offer"	0.0769795
"hush money"	0.0769439
overcharge	0.0768614
"legal fee"	0.076536
refund	0.0764223
"pretax charge"	0.0763892
rebate	0.0763606
appropriation	0.0761036
"food aid"	0.0747868
wager	0.0734836
voucher	0.0725998
"asking price"	0.0725978
"interest payment"	0.0722141
proceeds	0.0721012
"ownership stake"	0.0719585
sum	0.0710756
handout	0.0709948
"equity stake"	0.0706119
"tax benefit"	0.0705363
paycheck	0.0694894
"licensing fee"	0.0692922
funding	0.0692097
"nest egg"	0.0690858
endowment	0.06869
"sum of money"	0.0681605
dividend	0.0680524
"credit line"	0.0679559
"capital gain"	0.0677625
"equity investment"	0.067573
financing	0.0674648
"spending cut"	0.0672123
"medical aid"	0.0671559
billing	0.0671475
Tuition	0.0667754
"cost overrun"	0.0659695
saving	0.0659276
"capital investments"	0.0659239
"budget cut"	0.0657016
outlay	0.0656801
wage	0.0656347
premium	0.0655539
discount	0.0648563
"tax cut"	0.0647992
increment	0.0646645
purse	0.0644068
"gross income"	0.0642848
coupon	0.0639198
"plane ticket"	0.063916
"prize money"	0.0632397
hospitality	0.0631748
receipt	0.0631133
windfall	0.0629761
gift-giving	0.062794
"medical bill"	0.0626055
"line of credit"	0.0622001
"disability payment"	0.0620371
inheritance	0.0620203
perk	0.0615758
"tax deduction"	0.0612926
exemption	0.0609138
fillip	0.060803
payday	0.0607797
royalty	0.0607759
"child support"	0.0605647
PRICETAG	0.0599963
write-off	0.0596766
annuity	0.0587853
embezzlement	0.0585131
"war chest"	0.058506
allotment	0.0582324
"tax increase"	0.0577398
counteroffer	0.0574017
concession	0.0571292
"social insurance"	0.0569434
buyout	0.056927
mortgage	0.0562816
bribery	0.0560742
certificate	0.0555261
"pretax loss"	0.0549469
"vocational training"	0.0548098
"property tax"	0.0545921
allocation	0.0544888
dowry	0.0544622
"bank withdrawal"	0.0544376
"purchase price"	0.0543932
"sick pay"	0.0543327
"life insurance"	0.0542536
disbursement	0.0542174
IOU	0.0539806
"letter of credit"	0.0537475
retainer	0.0535361
"Social Security benefit"	0.053062
counseling	0.0529862
"admission fee"	0.0529266
"savings bond"	0.0528761
"work permit"	0.0527986
"medicare payment"	0.0526898
"bank deposit"	0.0526864
repayment	0.0525487
leniency	0.0523369
"management fee"	0.0521449
"tax reduction"	0.0521083
"bill of health"	0.0520184
refurbishment	0.0518378
"debt payment"	0.0516086
"sticker price"	0.0512608
bounty	0.0511835
"net income"	0.0510707
fellowship	0.0510285
"preferred stock"	0.0508136
deduction	0.0507808
"venture capital"	0.050682
ration	0.0505419
"list price"	0.0503883
shortfall	0.050384
apology	0.05027
"time off"	0.050253
"amount of money"	0.0497452
"export credit"	0.0496762
"operating budget"	0.0496727
"price tag"	0.0496582
transfusion	0.0495618
"disability benefit"	0.0494962
claimer	0.0494785
assurance	0.0492429
"golden parachute"	0.0491594
payroll	0.0491155
"promissory note"	0.0489995
monies	0.0489362
retraining	0.048733
equity	0.0486937
arrears	0.0485922
"working capital"	0.0484552
"slush fund"	0.0484
remittance	0.0483851
"bank account"	0.0483277
surcharge	0.0482307
graft	0.047615
"progress report"	0.0475636
"tax revenue"	0.0474374
forgiveness	0.0474023
"medical checkup"	0.0471765
sponsorship	0.0468874
capitalization	0.0468659
reassurance	0.0467712
maximum	0.0466288
booking	0.0465838
missive	0.0463941
"income tax"	0.0462773
T-bonds	0.0460715
))
("cash register" (desc 9140.41) (sims
"church bell"	0.108874
doorbell	0.0830375
"voting machine"	0.0762617
checkout	0.0732932
atm	0.073134
"gasoline pump"	0.0691617
"fire alarm"	0.0690646
Chime	0.0662865
"traffic light"	0.0658301
"gas pump"	0.065724
kiosk	0.0625968
scanner	0.0586138
"alarm system"	0.056722
"cellular telephone"	0.0552763
"cash machine"	0.054251
server	0.0540368
switchboard	0.0538595
"charge card"	0.0536906
"alarm bell"	0.0533784
"display case"	0.0531948
shelf	0.0530155
jackhammer	0.0526011
synthesizer	0.0522762
keyboard	0.0521187
aisle	0.0521065
"automatic teller machine"	0.0519078
booth	0.0518365
"convenience store"	0.0516651
cowbell	0.0515098
"communications equipment"	0.0514482
"toll plaza"	0.0512773
photocopier	0.0504467
"water pump"	0.0500362
cashier	0.0497059
mainframe	0.0496244
"computer equipment"	0.0494128
appliance	0.0493294
delicatessen	0.0492236
"alarm clock"	0.0490139
"phone system"	0.0489163
laptop	0.0484812
turntable	0.0484097
"printing press"	0.04826
workstation	0.0480805
"X-ray machine"	0.0474707
Projector	0.0473782
"slot machine"	0.0470803
intercom	0.0467973
"cellular phone"	0.0466191
"back office"	0.0465236
"telephone exchange"	0.0461051
"sound system"	0.0461041
"automated teller machine"	0.0460903
dishwasher	0.0458843
calculator	0.0457745
"fax machine"	0.0455497
"phone line"	0.0453631
elevator	0.0448221
"liquor store"	0.0446369
"grocery store"	0.0445423
"gas station"	0.0444927
"household appliance"	0.0444141
typewriter	0.043899
"polling place"	0.043884
gadget	0.0437643
mailbox	0.0437243
"information system"	0.0435694
toaster	0.043446
timer	0.0434386
faucet	0.0434098
generator	0.0433875
"shopping cart"	0.0432947
"death knell"	0.0431292
"filing cabinet"	0.0429164
"circuit board"	0.042558
diskette	0.0423395
latte	0.0422244
"television set"	0.0422102
VCR	0.0420853
pagers	0.0420412
"vacuum cleaner"	0.041946
"telephone system"	0.04186
motor	0.0417844
"branch office"	0.0417608
"electronic device"	0.0416596
cheque	0.0414861
"trash can"	0.0412567
transformer	0.0412491
freezer	0.0411965
"Pentium II"	0.0411902
rack	0.041171
refrigerator	0.0410535
"dining table"	0.040992
"mainframe computer"	0.0408694
copier	0.0407843
doorknob	0.0406681
"electrical system"	0.0406025
"credit card"	0.0405505
"tv set"	0.0404991
Streetcar	0.0403516
"butcher shop"	0.040312
newsstand	0.0401368
hose	0.0401172
"CD player"	0.0400018
))
("Cash Run" (desc 978.474) (sims
Anees	0.196628
"River Keen"	0.175368
"Desert Hero"	0.16419
"High Yield"	0.14963
"Lemon Drop Kid"	0.144569
"Cat Thief"	0.142261
"Thunder Gulch"	0.127755
"Forest Camp"	0.121379
Wondertross	0.119196
Artax	0.117824
Daylami	0.115686
"Beautiful Pleasure"	0.11333
"Answer Lively"	0.109688
"Awesome Again"	0.108849
Chilukki	0.107699
Adonis	0.107678
Behrens	0.105346
"War Chant"	0.104562
"Touch Gold"	0.104078
Valhol	0.102695
"Winning Colors"	0.100824
"Prime Timber"	0.100823
"Kimberlite Pipe"	0.0996826
"Worldly Manner"	0.0995034
Budroyale	0.0993584
"Victory Gallop"	0.0977652
"Red Bullet"	0.0976393
Malek	0.0955639
Menifee	0.0947987
"Ecton Park"	0.0931168
"Favorite Trick"	0.0914606
"Free House"	0.0888401
Trippi	0.0877034
"pass catcher"	0.087418
"Seattle Slew"	0.0870949
"Excellent Meeting"	0.0868452
Surfside	0.0819647
Affirmed	0.0817711
Longo	0.0796913
claimer	0.0788338
vicar	0.0778435
"Koji Ito"	0.0777207
aptitude	0.0773471
"Puerto Madero"	0.077278
commendable	0.0751353
"Banshee Breeze"	0.0745144
"Old Trieste"	0.074258
"Regina Jacobs"	0.073386
"Richard Hatch"	0.0716775
"Stephen Got Even"	0.0713394
"Moses Tanui"	0.0701227
"Running Stag"	0.0673975
"Juan Montoya"	0.0665874
"Jubilo Iwata"	0.0658313
distaff	0.0657146
"South African Amanda Coetzer"	0.06355
"Edie Falco"	0.0631678
"Miguel Indurain"	0.0628341
"Hugh Hefner"	0.0625575
"Fusaichi Pegasus"	0.0617847
grindstone	0.0615433
Silverbulletday	0.0608713
"Bjarne Riis"	0.0604356
"Buddy Lazier"	0.0603282
Tanui	0.0603252
"A.P Indy"	0.0598644
"Schalke @@"	0.0597874
"Marina Anissina"	0.0596882
Hal	0.0595367
"Eddie Cheever"	0.0593903
Eliza	0.0589678
potty	0.0585289
"Hu Weidong"	0.0573979
"Svetlana Masterkova"	0.0573721
Kagwe	0.0553448
"Derrick Adkins"	0.0549468
"Nick Zito"	0.0545831
"Paul Tergat"	0.0544756
"Fatuma Roba"	0.0535078
"Jeff King"	0.0534172
Capel	0.0531993
"won-lost record"	0.0526285
Butyrskaya	0.0526277
"Dennis Conner"	0.0525947
Prado	0.0520812
Charest	0.0518309
"straight man"	0.0512648
"quarter horse"	0.051177
"Greg Ray"	0.0510635
"Red Star"	0.0509759
"Fu Mingxia"	0.0509604
"Terry Labonte"	0.0507191
"Chris Boardman"	0.0507157
"Herschel Walker"	0.0506881
"Danny Wuerffel"	0.0505501
"Scott Pruett"	0.0503616
"Ji Xinpeng"	0.0503126
Arazi	0.050098
STALEY	0.0498558
"Scott Goodyear"	0.0495406
Maruyama	0.0495249
"Penny Heyns"	0.0492951
Testud	0.0492803
"Zoran Primorac"	0.0492175
enumerators	0.0491282
"Alex Zanardi"	0.048993
"Skip Away"	0.0487054
"race horse"	0.0486096
"Al Unser Jr."	0.0484087
"Ron Dayne"	0.0483535
Sainz	0.0482936
"Billy Boat"	0.0482917
"Daniel Kowalski"	0.0482633
"Cuba Gooding Jr."	0.0475258
"Juli Inkster"	0.0474484
Loroupe	0.0474468
"Bruce Fleisher"	0.0470758
"Dale Jarrett"	0.0468498
"Oliver McCall"	0.0466103
"Ken Schrader"	0.0465981
"Michael Andretti"	0.0465733
"Bafana Bafana"	0.0465454
"break of serve"	0.0463724
"Jeff Burton"	0.0462399
"Isolde Kostner"	0.0461745
"Jorge Chavez"	0.0461168
racehorse	0.046023
Ferdinand	0.0459161
Dench	0.0458122
"A.J Foyt"	0.0456452
Bruguera	0.0456021
Meissnitzer	0.0454863
Hendrawan	0.0454315
"Geena Davis"	0.0451617
"Andreea Raducan"	0.0449983
"Cheah Soon Kit"	0.0447995
"Rocco Mediate"	0.0447745
"Earnhardt Jr."	0.0446344
"Pat Hurst"	0.0446194
"Tom Steels"	0.0444656
"Walter Mondale"	0.0443801
"Kenny Brack"	0.0442179
"Pat Hentgen"	0.0440803
Smitherman	0.0440058
"Maurice Greene"	0.0439784
"Guo Jingjing"	0.0439505
"Arnaud Di Pasquale"	0.0438922
wallaby	0.043751
Atler	0.0434923
handicappers	0.0434747
"Cup Juvenile"	0.0433177
"Dennis Franz"	0.0431361
"Maria Butyrskaya"	0.0430764
Szabo	0.0430307
"Chris Antley"	0.0430088
"Jearl Miles-Clark"	0.0428077
Halard-Decugis	0.0427667
"D. Wayne Lukas"	0.0426964
"Maria Mutola"	0.0424138
mutuel	0.0424085
"Earth Summit"	0.0423542
"Bill Elliott"	0.0423476
"Tom Kite"	0.0422888
doorbell	0.0422453
"Bobby Rahal"	0.0421611
"Lee Trevino"	0.0420868
"Frank Nobilo"	0.0418705
"Unites States"	0.0418621
trouncing	0.041764
"Todd Eldredge"	0.0417122
Damm	0.0417022
Trammell	0.0416005
"Alexandra Meissnitzer"	0.0415474
"Meg Mallon"	0.0415112
Kremer	0.0414431
"Le Jingyi"	0.0413171
DiCarlo	0.0412316
"Brooke Bennett"	0.0411148
"Elena Berezhnaya"	0.0410667
"Ian Woosnam"	0.0410075
"Li Ju"	0.0409097
"Earl Campbell"	0.0408632
"Frances McDormand"	0.040728
Hongyuan	0.0406743
Arthurs	0.0405923
Lennox	0.0405916
Hearns	0.0405575
"Jeremy Irons"	0.0404483
"Shane Reynolds"	0.0402265
Hoogenband	0.0401351
"Ernie Irvan"	0.0401084
))
(cashew (desc 3926.51) (sims
"macadamia nut"	0.286323
"cashew nut"	0.227168
almond	0.226512
hazelnut	0.225148
coconut	0.22187
pistachio	0.214312
"pumpkin seed"	0.204318
pecan	0.203859
raisin	0.198829
pineapple	0.180913
"pine nut"	0.175446
walnut	0.166713
currant	0.157673
"palm oil"	0.155522
cocoa	0.150944
peanut	0.149541
sugarcane	0.146269
"sesame seed"	0.138854
"sugar cane"	0.138382
"dried fruit"	0.136298
"cane sugar"	0.135286
"blue cheese"	0.131669
"green onion"	0.131183
nut	0.1303
apricot	0.129922
sisal	0.124146
jute	0.122586
"oil palm"	0.12223
mango	0.122036
onion	0.121692
cacao	0.12152
barley	0.121198
sugar	0.120454
celery	0.120395
cilantro	0.119843
cranberry	0.116534
"sunflower seed"	0.116257
"bean sprout"	0.116216
papaya	0.115258
marshmallow	0.114762
parsley	0.114177
Garlic	0.112042
Cherry	0.11161
tomato	0.111486
cassava	0.110585
canola	0.11044
corn	0.108762
pear	0.108489
banana	0.10843
peach	0.107812
shallot	0.107084
"beef broth"	0.10694
honey	0.104967
"green olive"	0.104791
"bell pepper"	0.102812
GUAVA	0.100963
strawberry	0.100956
fruit	0.100753
Mulberry	0.10047
soybean	0.100437
coffee	0.100404
chilies	0.100394
mushroom	0.0998889
grapefruit	0.098832
vanilla	0.0988169
avocado	0.0983079
dill	0.0982729
cotton	0.0977922
"vegetable oil"	0.0977681
"orange marmalade"	0.0977275
mint	0.0976741
Elm	0.097512
prune	0.0971757
bean	0.097036
sprout	0.0967153
fig	0.0963921
apple	0.0959163
shrimp	0.0954743
"frozen food"	0.0948101
spice	0.0947401
Basil	0.0943269
rice	0.0936331
"chicken broth"	0.0935917
olive	0.093219
grape	0.0930097
potato	0.092516
tea	0.0916344
"orange juice"	0.0914636
pepper	0.091134
"milk chocolate"	0.0907614
"coconut oil"	0.0907462
sorghum	0.0906382
"black olive"	0.0901135
oregano	0.0897066
"sweet corn"	0.0896579
litchi	0.0895325
watermelon	0.0890592
"red pepper"	0.0889573
lentil	0.0886499
poultry	0.0882776
"iron ore"	0.0879243
ginkgo	0.0879033
"oreo cookie"	0.0877462
cabbage	0.0873805
watercress	0.0872166
carrot	0.0869713
veggie	0.0865774
pork	0.0865246
oat	0.0863626
"peanut oil"	0.0862739
"red onion"	0.0862577
crumb	0.0861914
kernel	0.0861076
scallion	0.0858992
bran	0.0856783
buckwheat	0.0856191
vegetable	0.0853518
"chicken stock"	0.085153
"raw vegetable"	0.0847806
clove	0.0845455
"whipping cream"	0.0842537
"sugar beet"	0.0839336
pea	0.08363
cucumber	0.0835979
"goat cheese"	0.0835509
flour	0.0835166
"passion fruit"	0.0834277
croutons	0.0832956
"sweet potato"	0.0832889
seafood	0.0832882
mesclun	0.0832399
millet	0.0829155
"string bean"	0.0825215
raspberry	0.0825062
"coconut milk"	0.0821538
marjoram	0.0815789
zucchini	0.0815497
"green pepper"	0.081302
"fish meal"	0.0812999
gingko	0.0807082
asparagus	0.0806655
chive	0.0806448
seaweed	0.0803495
timber	0.0801054
melon	0.0800945
tapioca	0.079722
plum	0.0796609
chiles	0.079358
wheat	0.0793514
Sorrel	0.079157
beet	0.0788604
fennel	0.0786228
maize	0.078582
legume	0.0784999
rapeseed	0.0784038
ginger	0.0783018
mutton	0.0782241
herb	0.0781374
yam	0.076959
RHUBARB	0.0769384
blueberry	0.076638
caviar	0.0765892
arugula	0.0762565
"black pepper"	0.0758484
lemongrass	0.0756407
cheese	0.0754306
persimmon	0.0754099
matzo	0.0753557
cinnamon	0.0748895
chocolate	0.0747881
"green tea"	0.0747039
"green bean"	0.0747036
"cumin seed"	0.0746039
"brown sugar"	0.0745623
"coffee bean"	0.0743748
oatmeal	0.0743423
smallholder	0.0743262
Broccoli	0.0741585
"tuna fish"	0.0739012
"collard greens"	0.0737596
grain	0.0725872
"whipped cream"	0.0725304
sesame	0.0723754
Gypsum	0.0721366
"black bean"	0.0720884
spinach	0.0720838
thyme	0.0719629
"black tea"	0.0717984
lettuce	0.0716575
leek	0.0716386
"garlic clove"	0.0715356
"egg white"	0.0713242
sunflower	0.0711639
"food grain"	0.071065
"beef stock"	0.0709252
lime	0.0708485
"California wine"	0.0708121
LNG	0.0708009
"evaporated milk"	0.0705832
oilseed	0.0704838
))
("cashew nut" (desc 2811.83) (sims
"palm oil"	0.278538
sisal	0.246513
cashew	0.227168
"pig iron"	0.219962
jute	0.214992
cocoa	0.211949
"soya bean"	0.21133
sugarcane	0.209964
"cane sugar"	0.208421
"black tea"	0.191968
"sugar cane"	0.188248
"fish meal"	0.187394
"iron ore"	0.183366
rapeseed	0.177047
groundnut	0.168153
cacao	0.165365
"frozen food"	0.165144
cotton	0.160789
ethylene	0.156711
"oil palm"	0.1559
"food grain"	0.150964
oilseed	0.149553
sorghum	0.148807
maize	0.144635
"coffee bean"	0.14411
"vegetable oil"	0.143538
tea	0.142982
"sea food"	0.141396
rubber	0.141245
"citrus fruit"	0.139574
soybean	0.138969
aquatics	0.136001
phosphate	0.135721
timber	0.134954
coconut	0.133439
poultry	0.132791
sugar	0.129795
newsprint	0.128538
coffee	0.128103
foodstuff	0.125836
grain	0.125577
CPO	0.125489
"fish fillet"	0.124555
"crude oil"	0.123712
"coconut oil"	0.12271
LNG	0.122472
citrus	0.122388
cement	0.121434
"rare earth"	0.121169
petroleum	0.121048
"synthetic fiber"	0.120511
starch	0.120233
urea	0.119447
"cooking oil"	0.118482
"sugar beet"	0.117028
eel	0.114991
wool	0.114095
seafood	0.114047
yarn	0.113871
"dairy product"	0.113844
fertilizer	0.113721
tobacco	0.113058
shrimp	0.112837
petrochemical	0.112149
lumber	0.111759
tapioca	0.111278
barley	0.110625
Coal	0.108343
"lubricating oil"	0.108244
"caustic soda"	0.10789
pork	0.107323
garment	0.107033
ore	0.106935
polyester	0.106405
condensate	0.105835
textile	0.105542
wheat	0.105079
cassava	0.105014
corn	0.104315
Copper	0.103971
cobalt	0.103804
latex	0.103221
steel	0.102671
"soybean oil"	0.100221
banana	0.0999952
"diesel oil"	0.0995398
methanol	0.0986438
by-product	0.0984133
prawn	0.098192
cereal	0.0981722
canola	0.0971656
honey	0.0971234
"animal product"	0.0967859
Gypsum	0.0957359
"citric acid"	0.0957234
"frozen foods"	0.0953954
pulp	0.0949621
paddy	0.0949158
fibre	0.0943353
peanut	0.0937516
"wheat flour"	0.0931009
"machine tool"	0.0925372
bean	0.0921547
horticulture	0.0918091
"canned food"	0.0915034
"building material"	0.0914776
handicraft	0.0912378
"steel plate"	0.0909884
Livestock	0.0902861
"consumer goods"	0.0887739
"liquefied petroleum gas"	0.0885591
"orange juice"	0.0884641
rayon	0.0878986
"powdered milk"	0.0877845
legume	0.0875116
silk	0.0875036
lint	0.0871713
"fuel oil"	0.0869061
"sunflower seed"	0.0863257
"raw material"	0.0860258
polypropylene	0.0859961
cashmere	0.0859459
fodder	0.085361
"alcoholic beverage"	0.0847959
"animal husbandry"	0.0839607
flax	0.0828875
soya	0.082217
"food product"	0.0821879
bitumen	0.0820614
aluminum	0.0820407
"plate glass"	0.0817159
footwear	0.0816216
POTASH	0.0815634
polyethylene	0.0813019
opium	0.081297
sesame	0.0812133
millet	0.0811722
Zinc	0.0810405
mineral	0.0809634
smallholder	0.0805974
mango	0.0798506
clove	0.0794816
knitwear	0.0788031
detergent	0.0786888
"polyvinyl chloride"	0.0780925
potato	0.0780377
ingot	0.0777885
"milk powder"	0.0776802
ceramic	0.0774232
alfalfa	0.0768946
shellfish	0.0763185
leather	0.0762232
mutton	0.0757261
"hot chocolate"	0.0752794
flour	0.0748944
aluminium	0.0746623
dairy	0.0743693
beverage	0.0742317
gemstone	0.0739074
croissant	0.0734943
lysine	0.0734437
ginkgo	0.0722169
"mineral water"	0.0721949
Mulberry	0.0720146
nut	0.0717076
"household appliance"	0.0713083
"wind power"	0.0709337
hazelnut	0.0709107
MOCHA	0.0705284
non-oil	0.0704973
"sewing machine"	0.069878
"dried fruit"	0.0692231
pesticide	0.0691124
"home appliance"	0.0690403
pulse	0.0683866
"California wine"	0.0682234
pistachio	0.0681476
"maple syrup"	0.0681228
vanilla	0.0679972
caviar	0.0679711
"fruit juice"	0.0678569
air-conditioner	0.0676707
"steel production"	0.0664267
almond	0.0663547
manganese	0.066128
"Lincoln Center Theater"	0.0657335
ethanol	0.0656128
VCD	0.0654485
billet	0.0650589
hog	0.0646096
melon	0.0643873
"soft drink"	0.0643094
cinnamon	0.0642681
grape	0.0641874
biscuit	0.0639894
tritium	0.0639265
gem	0.0636594
"diesel fuel"	0.0635709
fiber	0.0635443
"motor vehicle"	0.06353
))
(cashier (desc 8904.34) (sims
clerk	0.150093
teller	0.126723
waiter	0.12407
waitress	0.120941
receptionist	0.105957
"security guard"	0.103466
busboy	0.101496
bellhop	0.0978712
attendant	0.0950467
janitor	0.0929126
bartender	0.0917664
bookkeeper	0.0895441
housekeeper	0.08733
seamstress	0.0864627
"shop assistant"	0.0858545
pharmacist	0.0820448
nurse	0.0774897
custodian	0.0771498
dispatcher	0.0768691
lifeguard	0.0746139
saleswoman	0.0738847
chambermaid	0.0721797
"truck driver"	0.0721485
checkout	0.0715922
watchman	0.0713171
"maintenance man"	0.0709171
paralegal	0.0700965
dishwasher	0.0687335
hostess	0.0686412
enumerators	0.0686117
helper	0.0678824
supervisor	0.0675743
"disc jockey"	0.0666401
maid	0.0663043
mechanic	0.0661068
salesperson	0.0654478
"social worker"	0.065105
shopper	0.0649649
technician	0.0641638
copywriter	0.0630541
handyman	0.0626033
patron	0.0625899
"day laborer"	0.0624222
"flight attendant"	0.06237
salesman	0.061297
doormen	0.0611649
"bus driver"	0.0604933
butcher	0.0603986
"purchasing agent"	0.0600475
accountant	0.0597241
beautician	0.0591505
hairdresser	0.0587826
"ticket agent"	0.058132
cleaner	0.0578378
nanny	0.0573366
"factory worker"	0.0570513
librarian	0.0563831
co-worker	0.0562984
caseworker	0.0550087
salespeople	0.0549525
bailiff	0.0548034
stripper	0.0546118
"math teacher"	0.05454
"sales manager"	0.0543192
veterinarian	0.0540758
holdup	0.0540625
chef	0.0538788
laborer	0.0538605
electrician	0.0534227
chauffeur	0.0533718
gardener	0.0531457
instructor	0.0526777
roofer	0.0526617
apprentice	0.0524463
"market maker"	0.0522008
stuntman	0.0521129
counselor	0.051982
concierge	0.0519546
steelworker	0.0518044
"computer programmer"	0.0516454
policeman	0.051046
publicist	0.051037
proprietor	0.0507035
trainee	0.0506383
housemaid	0.0505277
carpenter	0.0503448
Programmer	0.0502992
foreman	0.0502417
doorman	0.0501766
"department head"	0.0501138
"Ron Burkle"	0.0500972
"investment adviser"	0.0500488
"public defender"	0.0499687
schoolteacher	0.0498465
aisle	0.0497261
"cash register"	0.0497059
translator	0.0496584
sportswriter	0.0494214
steward	0.0491937
"staff member"	0.0486192
handler	0.0484798
messenger	0.0484031
babysitter	0.0481786
staffer	0.0479423
stockbroker	0.0479232
passerby	0.0479171
plumber	0.0477626
tutor	0.0476805
intern	0.0475247
goer	0.0474229
"house painter"	0.047387
cameraman	0.0473187
auditor	0.0467379
curator	0.0467207
caddie	0.0467182
"insurance agent"	0.0466197
radiologist	0.0463965
"copy editor"	0.0463207
"talent scout"	0.0462219
interpreter	0.046007
shopkeeper	0.0458931
"English teacher"	0.0458066
servant	0.045673
announcer	0.0453579
"financial officer"	0.0452211
stewardess	0.0452112
sommelier	0.0451279
vendor	0.0448412
"management consultant"	0.044793
conductor	0.044634
organist	0.0446155
merchandiser	0.0444457
prostitute	0.0442878
"computer expert"	0.0442528
Sergeant	0.0442295
vet	0.0439877
warden	0.0439595
Magistrate	0.0437781
telemarketer	0.0436445
"network administrator"	0.0435731
"registered nurse"	0.043519
detective	0.0434851
Allchin	0.0433962
controller	0.0432291
"exotic dancer"	0.0431461
"venture capitalist"	0.0431405
"graphic artist"	0.042998
therapist	0.0427784
sixth-grader	0.0425425
paramedic	0.0424142
foremen	0.0423336
superintendent	0.0422188
photographer	0.0420263
winemaker	0.0418955
temp	0.0418311
dentist	0.0417151
firefighter	0.0413797
landscaper	0.0410212
"elevator operator"	0.0409671
chemist	0.0409132
Ruthardt	0.0408982
bodyguard	0.0406552
vaulter	0.0405626
"plastic surgeon"	0.0403468
sitter	0.0403185
picker	0.0403103
"faculty member"	0.0402924
"temporary worker"	0.0402524
actuary	0.0402338
"private investigator"	0.0401785
deli	0.0401395
"information officer"	0.0400389
))
(Cashman (desc 2406.05) (sims
Whipple	0.151576
Zimmer	0.150664
Ruehe	0.13455
Wolfson	0.133721
Hunsicker	0.13355
"de Charette"	0.127994
Flanagan	0.127874
Jovanovic	0.125893
"Brian Cashman"	0.124349
Zucker	0.122223
Ikeda	0.121444
Hybl	0.120721
Azizah	0.120655
Skiles	0.119605
Bavasi	0.119493
Advani	0.119227
Fleischer	0.118303
Rossotti	0.1173
Aventajado	0.11706
Goldin	0.116126
Prewitt	0.113843
"administration official"	0.113798
Siazon	0.112957
Condit	0.112816
Singson	0.112671
Piot	0.112059
Manley	0.110368
Wilhelm	0.109473
Nickerson	0.10848
Milbury	0.108261
McCurry	0.10803
Checketts	0.107639
Lockyer	0.106155
Reimer	0.105505
Orban	0.10536
Demaci	0.104937
Steinbrenner	0.104484
Alatas	0.104477
Aguirre	0.104159
Cooley	0.103912
Tarawneh	0.103679
Insulza	0.103319
Shamshad	0.103114
Eizenstat	0.102731
Klima	0.102354
Meissner	0.102292
Ruthardt	0.101872
Beilin	0.101618
Caddell	0.101486
Gullikson	0.101361
Ikimi	0.101085
Allchin	0.10071
Polian	0.100619
Jayakumar	0.100614
Ebersol	0.100041
BORAS	0.0991981
Schmid	0.0991228
Velayati	0.098613
Kasoulides	0.0977224
Wenger	0.0970548
Bettman	0.0970335
Kennard	0.0967753
Kornberg	0.0967226
Burleigh	0.0953711
Kyprianou	0.0952624
Stoyanov	0.095167
McKinnon	0.0951658
Malu	0.0946547
Sheehan	0.0943396
Clements	0.0939325
Solich	0.0937743
Lehane	0.0936205
Ainge	0.0933593
Finkel	0.0929551
Devine	0.0923588
Hauser	0.0918232
Solis	0.0916361
Reinsdorf	0.0915988
Waxman	0.0915869
Ruggiero	0.0912113
Grasso	0.0910622
Bergeron	0.0910001
Mercado	0.0908081
Faget	0.0908042
Moonves	0.0905554
Sergeyev	0.0905519
Schuerholz	0.0905292
Cem	0.0902898
Podesta	0.0901014
Lamberth	0.0897759
Nzo	0.0897272
Valenti	0.0896028
ISSEL	0.0895172
Rubenstein	0.0894289
Abdel-Meguid	0.0890432
Tevanian	0.0889507
Sensenbrenner	0.0887732
Guterres	0.0887506
Troussier	0.0885029
Torre	0.088425
Ivester	0.0883162
Babcock	0.0882659
Kerrigan	0.0881375
Nazarbayev	0.0879224
Passarella	0.0878807
Surin	0.0878078
Ota	0.0876218
Kessler	0.0875791
Huizenga	0.0873907
Cui	0.0873129
Storin	0.0871629
Glickman	0.0871614
Okada	0.0871377
Wan	0.0870789
Berra	0.0869929
Grachev	0.0869919
Heinrichs	0.0868824
Kharrazi	0.08673
Satcher	0.0864845
Tagliabue	0.0861644
Chadwick	0.0861154
Naumann	0.0858411
Indyk	0.0856825
Rong	0.0856704
Chambliss	0.0856268
Pickering	0.0855785
Zadornov	0.0853938
Scalfaro	0.0853658
Moratinos	0.0852103
Wolfensohn	0.0851271
Saleh	0.0850349
Gilmour	0.0849033
Kostov	0.084772
Carollo	0.084449
Narayanan	0.0842606
Koskinen	0.0842023
Zou	0.0841399
LaPierre	0.0840044
Shareh	0.0837265
Muckler	0.0834645
Izzo	0.0833388
Siegel	0.0833307
Scioscia	0.0830616
Leghari	0.0830272
Fulmer	0.0830226
"La Russa"	0.0826709
Shevardnadze	0.0826676
Duquette	0.0824641
Rosen	0.0824441
Harmon	0.0824417
Bellamy	0.0823571
Lockhart	0.0823259
Hodler	0.0821825
Leavitt	0.0821711
Vogts	0.082156
Ogata	0.0821553
Cavanaugh	0.0821323
Zuma	0.0821111
"De Soto"	0.0820842
Menino	0.0820458
Zarb	0.0818986
Korman	0.0818883
Alarcon	0.0817992
Gowda	0.0816942
Halloran	0.0814801
Brandt	0.0813321
Mariucci	0.081179
Dewine	0.0810552
Khai	0.0809747
Schuessel	0.0809575
Daft	0.0809172
"Bobby Cox"	0.0808083
Maslyukov	0.0807662
Rudenstine	0.0806982
Lundberg	0.0805157
Donato	0.0805108
Talebi	0.0804691
Kono	0.08024
Ganzouri	0.0802359
Harmoko	0.0801147
hodgson	0.0801107
Cowan	0.0799685
DeFrantz	0.0799306
Gaston	0.0798275
Stottlemyre	0.0796661
Lowry	0.0795177
Mkapa	0.0794732
Engelberg	0.07946
Aziz	0.0793659
Azad	0.0793063
Myhrvold	0.0792684
Rendell	0.0789975
Hirst	0.0789755
Tsang	0.0789642
Harkin	0.0787085
Schmalensee	0.0786965
Bowden	0.0786448
Caldera	0.0786385
Rosenthal	0.0785313
Jarrell	0.0785309
))
(cashmere (desc 12380.8) (sims
wool	0.260699
mohair	0.226985
silk	0.199145
fleece	0.191828
suede	0.182648
rayon	0.181146
cotton	0.172787
leather	0.16393
clingy	0.163066
linen	0.153743
tweed	0.142537
nylon	0.141508
plaid	0.140844
organza	0.138425
velvet	0.137825
chenille	0.136176
pashmina	0.134292
satin	0.130226
fur	0.125352
polyester	0.124731
sweater	0.122251
flannel	0.118008
woolen	0.11529
lace	0.112732
"navy blue"	0.112636
jute	0.111182
denim	0.106525
alpaca	0.106361
brocade	0.103944
"iron ore"	0.103431
Lycra	0.100791
taffeta	0.100042
pullover	0.0980119
chiffon	0.0976666
crepe	0.0958392
Armani	0.0945926
tulle	0.0938216
flax	0.0911169
tunic	0.0910327
fabric	0.0892564
slinky	0.0879459
"dark blue"	0.0878
garment	0.0875461
cardigan	0.0870482
camisole	0.0866712
"cashew nut"	0.0859459
knitwear	0.0859112
snakeskin	0.0858915
mink	0.0850961
synthetic	0.0844108
gauze	0.084154
halter	0.0833292
turquoise	0.0830107
sportswear	0.0828808
yarn	0.0826814
shawl	0.0810976
"royal blue"	0.0804099
"powder blue"	0.0800551
skirt	0.0788449
textile	0.0782698
acrylic	0.0780115
Copper	0.0778701
plastic	0.0778207
fuchsia	0.0767516
cement	0.0763048
"synthetic fiber"	0.0758802
cloth	0.0755914
"palm oil"	0.0753096
taupe	0.0747624
ivory	0.0747209
aluminum	0.0745082
embroidery	0.0737726
raincoat	0.0734746
Burgundy	0.0731084
hemp	0.072082
trousers	0.0719509
vinyl	0.071607
steel	0.0710711
coat	0.0707731
rapeseed	0.0707446
Sari	0.0707386
jacket	0.0700688
fiber	0.0692851
foodstuff	0.0689673
"evening gown"	0.068763
sheepskin	0.0686859
metal	0.0686309
"polka dot"	0.0682114
upholstery	0.0680632
DKNY	0.0677205
corduroy	0.0675662
turtleneck	0.0675622
handicraft	0.0675352
"frozen food"	0.067147
jewelry	0.0670262
trouser	0.0668145
shoe	0.0667589
"fur coat"	0.066357
"evening dress"	0.0662443
shirt	0.0660302
spandex	0.065927
carpet	0.0657247
blouse	0.0652811
lumber	0.0651891
timber	0.0650509
feather	0.0650218
footwear	0.0650201
Clothing	0.0646703
tea	0.0645069
grain	0.0642136
"pants suit"	0.0641954
pant	0.0641747
fertilizer	0.0634683
apparel	0.0634102
tartan	0.0628514
kimono	0.0624883
"pig iron"	0.0624609
sweatshirt	0.062235
Pink	0.0621807
"precious metal"	0.0615043
rubber	0.0614075
wheat	0.0609905
"Dolce &AMP; Gabbana"	0.0607906
"leather jacket"	0.0602058
"crude oil"	0.0598119
"raw material"	0.0596815
sheath	0.059544
tuxedo	0.0594082
scarf	0.0593099
"frozen foods"	0.059281
mineral	0.0590899
handbag	0.0588131
cobalt	0.0588029
"fish meal"	0.0587853
sisal	0.0586522
gown	0.0585628
bodice	0.0585412
Coal	0.0584759
"skin care"	0.0584069
ceramic	0.058313
porcelain	0.0580198
aluminium	0.0578585
gemstone	0.0578376
COUTURE	0.0578218
gingham	0.0577003
furniture	0.0573525
aqua	0.0573287
"building material"	0.0572639
beret	0.0569332
"consumer goods"	0.0568572
ore	0.0566176
"cane sugar"	0.056602
pants	0.0564798
jersey	0.0561822
vintage	0.0560976
tobacco	0.0560027
petroleum	0.055829
sugar	0.055705
"mink coat"	0.0553667
diamond	0.0552657
hat	0.0545851
"sea food"	0.0544236
meat	0.0543408
kilt	0.0541013
cocoa	0.0540558
T-shirt	0.0538353
Orange	0.0537618
bikini	0.0537341
"Brooks Brothers"	0.0537123
maize	0.0535892
wine	0.0534494
"rare earth"	0.0533973
mesh	0.0531897
"electronic equipment"	0.0530376
coffee	0.0529387
pantsuit	0.052826
corn	0.0528237
jean	0.0527333
petrochemical	0.0526986
beef	0.0523482
overcoat	0.0521849
purple	0.051974
newsprint	0.0518871
sequin	0.0518214
"Ralph Lauren"	0.0517186
polypropylene	0.0517153
accessory	0.0516056
"steel plate"	0.0515089
"bathing suit"	0.0514834
tux	0.0513403
beading	0.0511871
"household appliance"	0.0511802
sarong	0.0508716
titanium	0.050835
pharmaceutical	0.0507399
"dairy product"	0.0504235
"soya bean"	0.0503584
iron	0.0503293
beige	0.050327
grape	0.0502849
))
(casing (desc 12776.1) (sims
cartridge	0.13313
fragment	0.103066
Shell	0.102269
bullet	0.102227
shrapnel	0.0954834
ammunition	0.0876999
sill	0.0861114
canister	0.0859871
"cigarette butt"	0.080449
siding	0.0783712
molding	0.0776357
tile	0.077323
revolver	0.0745072
insulation	0.0742452
shutter	0.0742074
shard	0.072608
wrapper	0.0724508
debris	0.0722718
rifle	0.0698869
slug	0.0698161
pistol	0.0693217
sheathing	0.0692731
"beer bottle"	0.0685292
jamb	0.0682894
coating	0.0673202
glass	0.067045
container	0.0670096
"dead body"	0.0657204
tubing	0.0655644
detonator	0.0646444
"window frame"	0.0643959
sheeting	0.06395
shingle	0.0637849
projectile	0.0636251
Grenade	0.0636234
pellet	0.0631121
handgun	0.0630334
frame	0.0629867
cladding	0.0620088
pipe	0.0619476
munition	0.0617762
alloy	0.0603762
wreckage	0.0603658
bottle	0.0599709
tube	0.0597199
plastic	0.0594972
brick	0.0594759
"hand grenade"	0.0594144
"trash can"	0.0590415
mortar	0.0590125
coffin	0.058604
ordnance	0.0585175
"explosive device"	0.0585021
scaffolding	0.0580956
bag	0.0577413
suitcase	0.0577168
cache	0.057685
plaster	0.0576612
mesh	0.0570773
Casket	0.0565345
"beer can"	0.0564963
"rocket launcher"	0.056378
backpack	0.0560661
metal	0.0559253
fastener	0.0558028
vial	0.0557775
"water bottle"	0.0554709
grille	0.055229
skeleton	0.0545661
carcass	0.0544892
jackscrew	0.0543767
"pipe bomb"	0.0543549
rod	0.0542306
"stainless steel"	0.0541111
"automatic rifle"	0.0540422
pane	0.0539925
"soda can"	0.053787
flooring	0.0535676
silencer	0.0534414
cylinder	0.0532278
"land mine"	0.0531595
fingerprint	0.0530527
"Molotov cocktail"	0.0528288
furniture	0.0526559
mattress	0.0525552
"garbage can"	0.0524728
bayonet	0.0524364
knife	0.0519705
briefcase	0.0518248
residue	0.0517335
belonging	0.0516627
crate	0.0514093
"gasoline bomb"	0.0509932
"body part"	0.050985
tub	0.0509847
screw	0.0509417
Garbage	0.0506137
shotgun	0.0501993
resin	0.0501977
"sheet metal"	0.0501899
"machine gun"	0.0501277
trash	0.049966
lid	0.0493563
Concrete	0.0492287
capsule	0.0491552
corpse	0.0490651
skin	0.0489441
"black box"	0.0488282
gasket	0.048711
Plywood	0.0485485
meteorite	0.0483606
hose	0.0482834
cookware	0.048181
cupboard	0.0481191
carton	0.0480592
contraption	0.047972
envelope	0.0478909
"water cannon"	0.0478761
slab	0.0478578
wiring	0.0476714
bone	0.0476499
warhead	0.047629
"folding chair"	0.0476269
leaf	0.0475809
firearm	0.0475579
foam	0.0475099
blanket	0.0474922
motherboards	0.0474552
tank	0.0473859
"book bag"	0.0472157
cage	0.0471318
explosive	0.0470493
helmet	0.0470095
"sliding door"	0.0469198
Canopy	0.0465408
railing	0.0464713
covering	0.0462738
ammo	0.0461403
ornament	0.0461322
firebomb	0.0460305
fiber	0.0460161
"circuit board"	0.0458564
fiberglass	0.0457586
medallion	0.0457081
bolt	0.0456593
"plastic wrap"	0.0455814
awning	0.0455212
DNA	0.0454928
cardboard	0.0454619
sheet	0.0454465
tray	0.0454057
corps	0.0453768
wallet	0.0452749
"bullet hole"	0.0452599
Coin	0.0452279
jewelry	0.0450957
paneling	0.0450843
stud	0.044951
pew	0.0448504
valve	0.0447835
roof	0.0447703
aluminum	0.0447466
enclosure	0.0445564
"shopping bag"	0.0444389
urn	0.0444068
bandage	0.0444035
membrane	0.044346
"landing gear"	0.0440891
landmines	0.04407
ore	0.0440262
knapsack	0.0440187
footprint	0.0440152
sensor	0.043982
"air duct"	0.043968
roofing	0.0438925
"tear gas"	0.0436727
mat	0.0436515
Sewage	0.0435679
"picture frame"	0.0434998
chalice	0.0434704
pouch	0.043436
clamp	0.0432687
chandelier	0.0432076
fitting	0.0430533
tarpaulin	0.0430356
handcuffs	0.0430037
plaque	0.0429428
shoe	0.0429148
bucket	0.0428476
husk	0.0427441
barrel	0.0426301
crater	0.0426275
compartment	0.0425709
lattice	0.0425453
scraps	0.0425377
launcher	0.0425186
rubbish	0.0424525
jug	0.0423768
disk	0.0423526
storefront	0.0422985
))
(Casino (desc 76338.6) (sims
gambling	0.151283
hotel	0.150021
restaurant	0.128736
resort	0.124683
hotel-casino	0.120105
"slot machine"	0.117862
mall	0.111395
"theme park"	0.110139
lottery	0.109805
store	0.107182
parlor	0.104495
Gaming	0.10346
"shopping mall"	0.0981165
"shopping center"	0.0979508
park	0.0979208
shop	0.0973211
"amusement park"	0.0970891
"movie theater"	0.0964939
museum	0.096255
complex	0.0950782
"department store"	0.0921989
supermarket	0.092139
nightclub	0.0917627
club	0.0913148
SPA	0.0911459
stadium	0.0909247
"golf course"	0.0898515
theater	0.0897931
facility	0.0886019
"office building"	0.0878366
"convenience store"	0.0877251
cafe	0.0860803
station	0.0860286
"art gallery"	0.0847563
bank	0.0843985
"grocery store"	0.0843077
motel	0.083599
bar	0.0832585
business	0.082684
factory	0.0823225
arena	0.082164
company	0.0816115
"gas station"	0.0814177
clinic	0.0813936
airport	0.0809679
bookstore	0.0807436
gym	0.0798769
riverboat	0.0796594
winery	0.0795961
school	0.0787949
studio	0.078628
plant	0.0783699
building	0.0782137
site	0.078188
center	0.0773398
farm	0.0771053
inn	0.077004
hall	0.0761891
Warehouse	0.0761307
refinery	0.0756662
hospital	0.0755764
"post office"	0.0752641
"power plant"	0.0750865
library	0.0746921
ballroom	0.0745625
lodge	0.0744069
home	0.0741652
"dance hall"	0.0740825
apartment	0.0738076
"bowling alley"	0.0737735
"insurance company"	0.0737169
"travel agency"	0.0737114
corporation	0.0735983
racetrack	0.0734821
brokerage	0.0734708
tavern	0.0733538
pub	0.0732817
outlet	0.0731433
boutique	0.0730128
property	0.072833
firm	0.0727358
condominium	0.0726248
aquarium	0.07246
"nursing home"	0.071602
office	0.0715924
"conference center"	0.071258
mill	0.0712295
brewery	0.0711625
brothel	0.0711455
Marina	0.07087
"swimming pool"	0.070739
Pharmacy	0.0705102
church	0.070357
salon	0.0700629
airline	0.0698009
industry	0.0695142
arcade	0.0693464
cemetery	0.0692683
"gift shop"	0.0691716
poker	0.069081
spas	0.0690605
"liquor store"	0.0689881
retailer	0.0689655
lounge	0.0688404
dealership	0.0683564
shelter	0.0683151
utility	0.0681766
"real estate"	0.0680037
house	0.0679958
"coffee shop"	0.0676552
project	0.0675208
terminal	0.0675059
room	0.0674405
enterprise	0.0674059
"brokerage firm"	0.0670856
"retail store"	0.067059
venue	0.0669748
Ballpark	0.0668847
campus	0.0668773
"chain store"	0.0666519
garage	0.0664935
garden	0.0663455
attraction	0.0661087
mine	0.0659895
drugstore	0.0659723
estate	0.0658451
Bellagio	0.0658381
Tower	0.0656908
railroad	0.065412
venture	0.0652857
betting	0.0651993
beach	0.06512
"Las Vegas"	0.06507
"concert hall"	0.0650265
bakery	0.064598
"parking lot"	0.0645563
landfill	0.0643198
cafeteria	0.0643187
gallery	0.0641635
cinema	0.063915
network	0.0635848
chain	0.0635712
lab	0.0635557
tribe	0.0627887
"community center"	0.0627078
"television station"	0.0625695
palace	0.0624739
courthouse	0.0623873
"service station"	0.0623861
dam	0.0621771
ranch	0.0619841
"public school"	0.0619772
plantation	0.0619759
"cruise ship"	0.0619404
"dining room"	0.061939
city	0.061815
insurer	0.0617163
"power station"	0.0616696
zoo	0.0615912
mansion	0.0615431
"hardware store"	0.0614828
area	0.0612276
mining	0.0611341
prison	0.0610272
operation	0.0609899
banking	0.0607962
retail	0.060587
"funeral home"	0.0604645
market	0.0604572
operator	0.0603604
"radio station"	0.0603168
Mirage	0.0602541
"school district"	0.0597011
atm	0.0596739
camp	0.0596472
university	0.0596017
showroom	0.059588
pool	0.0595875
MCDONALD's	0.0595415
agency	0.0590156
HMO	0.0590121
tourism	0.0585875
eateries	0.0585701
district	0.0585322
"manufacturing plant"	0.0583524
kiosk	0.0581868
"joint venture"	0.05814
program	0.0580721
"apartment building"	0.0580032
Entertainment	0.0579665
"country club"	0.0579053
service	0.0578927
pier	0.0578508
neighborhood	0.057842
saloon	0.057754
"exhibition hall"	0.0575783
fishing	0.0574864
"entertainment center"	0.0573665
carrier	0.0573038
"financial institution"	0.0572034
))
(Casio (desc 1889.77) (sims
Acer	0.158055
Epson	0.144942
Philips	0.138036
Panasonic	0.135083
"Digital Equipment"	0.122964
HP	0.121321
AST	0.121246
"Packard Bell"	0.120945
Toshiba	0.115986
Samsung	0.10283
Sanyo	0.0972571
Sony	0.0959531
"Compaq Computer"	0.0952406
Hewlett-Packard	0.094985
Handspring	0.0942683
"Hewlett Packard"	0.0936367
Fujitsu	0.0935799
Kodak	0.0927324
"Dell Computer"	0.0871206
Micron	0.0862811
Motorola	0.0820368
NEC	0.0804285
"Diamond Multimedia"	0.0790374
ICI	0.0788072
transnationals	0.0769853
"Silicon Graphics"	0.0755584
Hitachi	0.0743304
Compaq	0.0734993
canon	0.0732786
emachines	0.0724565
"Sun Microsystems"	0.0709014
"Northern Telecom"	0.0695748
Xerox	0.0676272
Matsushita	0.0664987
Mitsubishi	0.0658379
Alcatel	0.0636857
Cartier	0.0621982
"Eastman Kodak"	0.0619912
handheld	0.0619827
"Texas Instruments"	0.0612092
"Radio Shack"	0.0587757
Intergraph	0.0583521
ABB	0.058181
Mitsui	0.0577242
CMGI	0.0576486
AMD	0.0574533
"Apple Computer"	0.057337
Rolex	0.0572454
Iomega	0.0571891
Siemens	0.0557237
TiVo	0.0554234
Symantec	0.055057
"American Express"	0.054593
Zenith	0.0544408
RealNetworks	0.0543928
Westinghouse	0.0542473
"General Electric"	0.0540102
Nokia	0.0538285
"Bell South"	0.0529417
Daimler-Chrysler	0.0523706
"Adobe Systems"	0.052309
"Bud Light"	0.0512429
KPMG	0.0510118
EMC	0.0506759
Nikon	0.0493997
"Windows CE"	0.049353
"Applied Materials"	0.0490894
"National Semiconductor"	0.0488308
Heineken	0.0486998
"Lucent Technologies"	0.0482528
GEC	0.0482118
Clorox	0.0480151
Fuji	0.0474878
"Nortel Networks"	0.0474352
"Levi Strauss &AMP; Co."	0.0464622
Unisys	0.0464215
"United Healthcare"	0.0463231
"another @@@ million"	0.04611
Stratus	0.045874
Bayer	0.0457624
Maytag	0.0454436
"Wal-Mart Stores"	0.045434
"Dayton Hudson"	0.0451138
Autodesk	0.0450715
Lego	0.0450369
Merck	0.0447622
Steinway	0.0445668
"Pacific Bell"	0.0443131
"Shell Oil"	0.044211
Yamaha	0.0440711
quartz	0.0440036
Zapruder	0.0438302
Duracell	0.0435584
"Procter &AMP; Gamble"	0.0434463
"Sun Microsystems Inc."	0.0433169
"Computer Associates"	0.0432358
"Royal Bank"	0.0428605
Ericsson	0.0425098
"Johnson &AMP; Johnson"	0.0422741
SSE	0.0421676
Litton	0.0421533
Konka	0.0418213
"Holland America"	0.0417692
Kendall-Jackson	0.0413768
Searle	0.0411542
SAS	0.0408734
AGL	0.0407713
CSC	0.0406714
BASF	0.040569
Cray	0.0404747
Muir	0.0403888
visor	0.0402646
"Pepsi Cola"	0.0401373
"BellSouth Corp."	0.0400558
))
(cask (desc 3103.83) (sims
sarcophagus	0.0663349
VAT	0.0657982
"water tank"	0.063682
attics	0.0626898
cavern	0.0617802
cylinder	0.0613835
silo	0.061159
cellar	0.0598539
"packing material"	0.0581188
birdbath	0.0579962
louver	0.0568929
latrine	0.056553
truss	0.0555053
smelters	0.0545884
trestle	0.054536
flooring	0.0544864
turbogenerator	0.0544822
bucket	0.0542174
molding	0.0536869
clothesline	0.052646
sherry	0.0520799
dowel	0.0519473
pellet	0.0511985
drawers	0.051161
"fish tank"	0.0510827
"storage tank"	0.0508417
"transport ship"	0.0507312
"sailing vessel"	0.0506017
"measuring cup"	0.0504599
"sparkling wine"	0.0497711
cistern	0.0495891
cube	0.0492599
"Chenin blanc"	0.0492492
"river bed"	0.0492417
keg	0.0491277
"pork loin"	0.049009
slag	0.0489404
pontoon	0.0480935
"bank vault"	0.0479717
residual	0.0479379
"steam locomotive"	0.0478459
jetty	0.0478401
Casket	0.0478099
"window frame"	0.0474549
canister	0.0474005
piling	0.0469335
paneling	0.0465189
sill	0.0464732
"air bubble"	0.0464395
"pecan pie"	0.0463444
"air filter"	0.0455871
enclosure	0.0453566
"ice crystal"	0.0453546
"instruction manual"	0.0445036
receptacle	0.0442323
bulkhead	0.0441886
hauler	0.0438504
"side chair"	0.0438414
Stairway	0.0437514
distillery	0.0436534
"instrument panel"	0.0436147
webcams	0.043589
awning	0.0433249
tendril	0.0432825
"essential oil"	0.043229
"railroad car"	0.0431982
pallet	0.0431825
Jukebox	0.0431073
"water tower"	0.0428336
"stainless steel"	0.042459
freezer	0.0424486
merlot	0.0422599
putty	0.0419036
floorboard	0.041797
crate	0.0417623
biogas	0.0416653
incinerator	0.0416499
breadcrumb	0.0415895
"deposit box"	0.0415809
siding	0.0412919
abacus	0.0411831
armoire	0.0410518
"Bora Milutinovic"	0.0408197
ingot	0.0405372
"wind power"	0.0405033
"bank failure"	0.0404904
Partway	0.0404546
"red wine"	0.0403963
staterooms	0.0403688
rasp	0.0400977
"summer house"	0.0400485
))
(Casket (desc 17158) (sims
coffin	0.25899
urn	0.0897503
Grave	0.0836272
headstone	0.0827739
tomb	0.0774527
sarcophagus	0.0772614
gravestone	0.0767847
box	0.0736423
tombstone	0.0732339
hearse	0.0719912
"body bag"	0.0709695
crosse	0.068568
mattress	0.0674839
statue	0.0669737
ingot	0.0665061
cookware	0.0662464
vase	0.0660537
plaque	0.0660468
furniture	0.0658453
suitcase	0.0639667
sculpture	0.0636694
jar	0.0633149
paneling	0.0615333
container	0.0611213
funeral	0.0605803
skeleton	0.0602038
"conference table"	0.0598136
desk	0.0597143
"coffee table"	0.0594703
limousine	0.0590141
wreath	0.0587022
pallet	0.0583837
sweatshirt	0.0582473
flooring	0.0578142
cylinder	0.0576799
cortege	0.0576566
corpse	0.0573676
envelope	0.0565913
casing	0.0565345
"garbage can"	0.0564582
medallion	0.0562205
bookcase	0.0560874
tractor	0.0558219
storefront	0.0557652
"trash can"	0.0554134
alcove	0.0554134
"dining table"	0.0552215
trailer	0.0551385
mausoleum	0.0550721
marker	0.0547811
monument	0.0546278
shroud	0.0540397
jumpsuit	0.0539821
"slip of paper"	0.0539615
T-shirt	0.0537814
slab	0.0537471
tile	0.0537275
altar	0.0537018
cloth	0.053657
tubing	0.0532109
"paper bag"	0.053187
shutter	0.0529984
shoe	0.0528551
ware	0.0527875
carton	0.0527846
Sash	0.0527621
stele	0.0526596
bed	0.0525116
tray	0.0523726
Crypt	0.0521843
jewelry	0.0521289
mourner	0.0518458
helmet	0.0517935
cot	0.0517727
cage	0.0517344
"folding chair"	0.0516062
capsule	0.0515588
pot	0.0514985
Clothing	0.0514529
robe	0.0512982
Pottery	0.051252
van	0.0510603
easel	0.0507757
bathtub	0.0507238
staircase	0.05069
awning	0.0505902
farmhouse	0.0505389
crate	0.050271
chalice	0.0502374
scarf	0.0501814
cemetery	0.05018
stone	0.0501786
Coin	0.0501765
rosary	0.0501608
drawer	0.0501541
blanket	0.0501467
shirt	0.0501003
bag	0.0500841
amulet	0.0499798
briefcase	0.0499311
sheet	0.0498858
pipe	0.0497225
ribbon	0.0496867
jeep	0.0496351
"piece of paper"	0.0494772
"dead body"	0.0494753
"honor guard"	0.0492459
vial	0.0490768
mural	0.04906
banner	0.0490175
ash	0.0489199
fireplace	0.0488763
"display case"	0.048868
uniform	0.0488146
"baseball cap"	0.0487735
cubicle	0.0487144
flower	0.0486835
plate	0.0484654
statuette	0.048459
"pickup truck"	0.0483877
remains	0.0483266
stroller	0.0482909
tablet	0.0482763
"sheet of paper"	0.0481402
candle	0.0480841
"memory chip"	0.047941
pin	0.0479167
bottle	0.0479113
armchair	0.0478814
tent	0.0478496
cask	0.0478099
shack	0.0477089
"burial ground"	0.0476889
carriage	0.0476161
"mobile home"	0.047392
artifact	0.0473779
truss	0.0473189
enclosure	0.0472028
chapel	0.047023
kiln	0.0469682
apron	0.0469205
crib	0.0468522
figurine	0.0468415
brick	0.0468163
exterior	0.0467389
plastic	0.0466979
jacket	0.0466693
bucket	0.0466592
"Confederate flag"	0.0466499
carving	0.0466361
"teddy bear"	0.0465164
rug	0.0464689
rod	0.0464459
belonging	0.0463219
balcony	0.046275
gown	0.0460956
memorial	0.0459898
stool	0.0459687
"vacuum cleaner"	0.045949
drum	0.0456632
graveyard	0.0454373
sofa	0.0454118
procession	0.0454055
"rocking chair"	0.045395
locker	0.0453683
fabric	0.0453519
"water tower"	0.045228
mantel	0.0450431
Dome	0.0449984
bead	0.0449955
"Toyota Corolla"	0.0449848
rack	0.0449844
towel	0.0449583
pellet	0.0449029
"front door"	0.0448268
bracelet	0.0447404
handset	0.0447191
tube	0.04467
"summer house"	0.0446663
canister	0.0445996
balloon	0.0445807
"time capsule"	0.0445739
facade	0.0444607
bungalow	0.0444438
Ambulance	0.0444215
carpet	0.0444047
Mercedes	0.0443492
bunting	0.0443309
marble	0.0443069
vault	0.0441019
trunk	0.0440296
grille	0.0440186
portrait	0.0439627
commode	0.0439553
hat	0.0438733
cupboard	0.0438584
grill	0.0438231
"musical instrument"	0.043818
vessel	0.0437967
"window frame"	0.0437708
))
(Casper (desc 3156.01) (sims
Laramie	0.137915
Cheyenne	0.112447
"Crystal City"	0.107325
Americus	0.10124
Morristown	0.0868455
Elmira	0.0851127
Carthage	0.0843823
"East St. Louis"	0.0812124
Macoris	0.0787824
Paterson	0.0773383
Spokane	0.0771252
Hattiesburg	0.0769903
Topeka	0.0767476
Macon	0.0748194
"Van Raaphorst"	0.0736944
Hillsboro	0.073366
Montclair	0.0724279
Knoxville	0.0717756
Greenville	0.071613
Lufkin	0.0713449
Tuscaloosa	0.0707201
Evanston	0.0701734
Lakeland	0.0692538
Lubbock	0.0691489
ASHEVILLE	0.0667876
Sheridan	0.0665627
"Chapel Hill"	0.0664819
Huntington	0.0663811
Peekskill	0.0656459
Saida	0.0656182
Stadler	0.0655339
Puebla	0.0650151
Qufu	0.0649476
midland	0.0648539
Shreveport	0.0639728
Yekaterinburg	0.0638011
"South Bend"	0.0632642
Salisbury	0.0631302
"San Cristobal"	0.0629447
Chatham	0.0628522
Fresno	0.0628246
Bloomington	0.0624865
Quanzhou	0.0623714
Majko	0.0622535
"Corpus Christi"	0.0620833
Gainesville	0.062001
Lawrenceville	0.061746
Snead	0.0614835
Braintree	0.0612475
Weimar	0.06119
"Iowa City"	0.0609654
"Baton Rouge"	0.0609227
Alexandria	0.0609223
"St. Petersburg"	0.0602358
Aachen	0.060176
Blacksburg	0.0596245
Pereira	0.0594008
"East Los Angeles"	0.0592326
"St. Paul"	0.0591322
"San Pedro Sula"	0.0588869
Greenwald	0.058529
Weah	0.0584805
Riverdale	0.0583736
Gloucester	0.0583149
Solis	0.0582832
Brownsville	0.058219
Guadalajara	0.0580997
Lynchburg	0.0579174
Conyers	0.0578379
Augusta	0.0576885
Odessa	0.0576844
"Yellowstone National Park"	0.056972
Cardenas	0.0568736
Tucson	0.0567813
Bensonhurst	0.0566686
Akron	0.0563783
Northampton	0.0561354
Kano	0.0560635
Chappaqua	0.0559317
Salinas	0.0556164
Chattanooga	0.0555678
"Palm Beach Gardens"	0.0554942
Winston-Salem	0.0554452
Worcester	0.0554343
ECW	0.0553105
Hoboken	0.0552197
"New Haven"	0.0550244
Cody	0.0550096
"Great Neck"	0.0547106
Middletown	0.0547095
FARGO	0.0546944
"Nuevo Laredo"	0.0546161
Sidon	0.0544351
Schottenheimer	0.0543207
Monterrey	0.0541505
"El Mundo"	0.0538542
Schaeuble	0.0538182
flint	0.0537841
Bhattarai	0.0537622
Windsor	0.0536969
anchorage	0.0535947
Nogales	0.0535943
Yellowstone	0.0535461
Ruggiero	0.0534801
Birmingham	0.0533747
"High Point"	0.0533629
"Union City"	0.0533129
"West Palm Beach"	0.0532502
Kragujevac	0.0531472
Camden	0.0531462
Stamford	0.0531386
Medford	0.0530169
Leningrad	0.0530163
"Santo Domingo"	0.0528845
Madison	0.0528148
Kingston	0.0526848
Tacoma	0.0526275
riverside	0.0526038
"Miami Valley"	0.0524804
Rossotti	0.0524119
Hartford	0.0520682
Aberdeen	0.0519775
Youngstown	0.0519653
Shiraz	0.0519392
Brockton	0.0519207
Jasper	0.0519085
Wichita	0.0513182
Glasgow	0.0513109
"Fall River"	0.0512164
Springfield	0.0510545
Burlington	0.0510141
"Bergen County"	0.0508742
Montgomery	0.0507609
Katsav	0.0507519
"Evening Standard"	0.0507413
Hindery	0.0507012
Rabat	0.0506424
Saginaw	0.0505675
Flagstaff	0.0505145
Columbus	0.0504682
Pasadena	0.05029
LAKEWOOD	0.0502785
"Fort Lauderdale"	0.050259
Murayama	0.0502509
"Federated Department Stores"	0.0502395
Raleigh	0.0502272
Mullin	0.0501572
"Arlington National Cemetery"	0.0501344
Westfield	0.0501209
"Village Voice"	0.0500616
Providence	0.0500423
chihuahua	0.0500334
Longo	0.0499
Juarez	0.0498608
Minneapolis	0.0498581
Fairbanks	0.0497121
Bridgeport	0.0496478
"Daytona Beach"	0.0496383
"Westminster Abbey"	0.049597
"three match points"	0.0495725
Lafayette	0.0494107
"two pitchers"	0.0493482
"Cedar Rapids"	0.0493361
"East Orange"	0.0493087
Ghosn	0.0492108
"Virginia Beach"	0.0490793
Decatur	0.0490629
Redding	0.049052
Williamstown	0.0490314
Beaumont	0.0488973
Plano	0.0488402
Marietta	0.0486987
Wheaton	0.0485139
Helena	0.0483638
Wyoming	0.0482493
BUDAPEST	0.0481799
Winnie	0.0480369
Dushanbe	0.048022
"Grand Rapids"	0.0480178
Hyderabad	0.047901
Turin	0.0478752
Westwood	0.0478051
Savannah	0.0476801
Ningbo	0.0476152
Ziegler	0.0476015
Talebi	0.0474971
Valletta	0.0474639
Krakow	0.047441
Newark	0.0473916
"Ciudad Juarez"	0.0473554
DIMON	0.0472976
Emory	0.0472351
Cochabamba	0.0472235
Adelaide	0.047176
Port-au-Prince	0.0471107
Honolulu	0.0470895
Briscoe	0.047035
Bulawayo	0.0470202
"Key West"	0.0469689
Higginson	0.0468958
))
(Caspian (desc 9125.38) (sims
"Caspian Sea"	0.305597
Tarim	0.12316
"Persian Gulf"	0.122057
"Black Sea"	0.117821
"North Sea"	0.10829
"Mediterranean Sea"	0.106267
Baltic	0.105427
Mediterranean	0.104997
"Mekong River"	0.0971234
"Central Asia"	0.0951002
"Baltic Sea"	0.0942452
Arctic	0.0939277
Turkmenistan	0.0932384
"coal gas"	0.0891761
seabed	0.0877351
Caucasus	0.0875749
"Central Asian"	0.0874357
"Niger Delta"	0.0822366
basin	0.0798544
"Beibu Gulf"	0.0784312
Adriatic	0.0776549
Gulf	0.0759929
"Red Sea"	0.0757434
Azerbaijan	0.0752953
"Tarim Basin"	0.0742253
"South China Sea"	0.0738129
Aegean	0.072924
"Bohai Sea"	0.0723031
"Lake Tanganyika"	0.0720013
"North Atlantic"	0.0712899
"Nile River"	0.0699458
Alaskan	0.0699109
"continental shelf"	0.0692361
"Bohai Bay"	0.0684787
"Colorado River"	0.0682868
"Gulf of Mexico"	0.0662558
Kazakhstan	0.066208
Sakhalin	0.0658103
"Lake Victoria"	0.0650313
"Indian Ocean"	0.0648475
Siberia	0.0641065
Mekong	0.0639545
Ganges	0.0636609
Tigray	0.0625091
"Strategic Petroleum Reserve"	0.0624498
"East China Sea"	0.0622918
Baku	0.0612529
Xinjiang	0.0611778
"Middle East"	0.059915
"Dead Sea"	0.0591633
"Qaidam Basin"	0.0584993
Alaska	0.0584338
pacific	0.0582156
"Arctic Ocean"	0.0578735
"Aegean Sea"	0.0575308
"Far Eastern"	0.0572858
"Chesapeake Bay"	0.0571361
petroleum	0.0568545
"Taihu Lake"	0.0557884
Atlantic	0.0557208
"natural gas"	0.0549843
"Lake Erie"	0.0544412
Caribbean	0.0542083
"Great Lakes"	0.0539796
"solar energy"	0.0535492
Nile	0.053232
"West Texas"	0.0528757
"Pacific Ocean"	0.0527334
"East Asia"	0.0520628
Cabinda	0.0518815
"river basin"	0.0513986
oilfield	0.0506741
"South China"	0.0504894
"Panama Canal"	0.0500585
"Middle Eastern"	0.0498741
"Pacific Rim"	0.049336
Mid-Atlantic	0.0492826
"Bay of Bengal"	0.0491467
Danube	0.0490388
Galilee	0.0489943
"mineral resource"	0.048694
"Golden Triangle"	0.0486657
methane	0.0485424
WEU	0.0485141
"Far East"	0.0484568
CHT	0.0482317
"Pearl River Delta"	0.0480958
"Quintana Roo"	0.0480807
hydropower	0.047801
"Korean Peninsula"	0.0477945
"Big Sur"	0.0477541
Euphrates	0.0474094
Mongolia	0.0471715
Coal	0.0470789
"Southern Africa"	0.0465094
Oahu	0.0464732
Nagorno-Karabakh	0.0463136
"Commonwealth of Independent States"	0.0459894
"Atlantic Ocean"	0.0457124
"Nova Scotia"	0.0457096
"Puget Sound"	0.0457042
"Baja California"	0.045518
"Yangtze River Delta"	0.045517
"Sea of Japan"	0.0453525
Qinghai	0.0451759
Qomolangma	0.0448318
Bosporus	0.0447241
"Lake Michigan"	0.0446561
Asia-Pacific	0.0446002
"Huaihe River"	0.044536
"five key"	0.0444975
"Western Australia"	0.0441579
"Jordan Valley"	0.0439751
"Yellow Sea"	0.0434494
"South Asian"	0.0434178
"Rocky Mountain"	0.0433423
Wetland	0.0433042
"East Africa"	0.0428313
seaboard	0.0428144
Gujarat	0.0426626
Kurdistan	0.0425794
OPEC	0.0425435
mining	0.0424439
Shaanxi	0.0423693
Newfoundland	0.0422369
Bund	0.0418928
"Black Sea Fleet"	0.0418724
peninsula	0.0417931
groundwater	0.0417763
"East China"	0.0417096
"South America"	0.0416852
bauxite	0.0416479
"Southeast Asia"	0.0416072
"Eastern Europe"	0.0415754
Sulawesi	0.0415004
forestry	0.0414556
"South Pacific"	0.0413535
Tahoe	0.0413453
"San Francisco Bay"	0.0412699
Luzon	0.0412411
"South American country"	0.041233
Hainan	0.0411844
"Adriatic Sea"	0.0407956
"Asia Pacific"	0.0407732
Azerbaijani	0.0406926
"Brandenburg Gate"	0.0406314
"West Africa"	0.0406229
Daqing	0.0404858
"high technology"	0.0404723
biomass	0.0404423
"nuclear power"	0.0403761
GCC	0.0402457
"Gulf Coast"	0.0402236
bitumen	0.0401257
"Xinjiang Uygur Autonomous Region"	0.0400236
))
("Caspian Sea" (desc 12692.2) (sims
Caspian	0.305597
"Black Sea"	0.172774
"Baltic Sea"	0.157577
"Red Sea"	0.135245
"Persian Gulf"	0.134238
"Mediterranean Sea"	0.120922
"Central Asia"	0.12084
Mediterranean	0.12014
Caucasus	0.11957
"North Sea"	0.112778
"Indian Ocean"	0.111315
"Bohai Sea"	0.109166
"South China Sea"	0.105057
"Tarim Basin"	0.102273
"Beibu Gulf"	0.100149
Tarim	0.0994887
"Qaidam Basin"	0.0975994
"East China Sea"	0.0963601
Gulf	0.0956366
"Niger Delta"	0.0951231
Azerbaijan	0.093688
Siberia	0.0895688
Turkmenistan	0.0894454
basin	0.0880531
Adriatic	0.0874563
seabed	0.0852848
"Mekong River"	0.0844495
"continental shelf"	0.0832258
"Bohai Bay"	0.0817991
"Central Asian"	0.0807836
"Nile Delta"	0.0804132
"Lake Victoria"	0.0799519
Baku	0.0791144
"Gulf of Mexico"	0.0762523
Baltic	0.0745641
"Middle East"	0.0743474
Aegean	0.0729652
sea	0.072115
Nile	0.0706648
"Taihu Lake"	0.0706192
"Far East"	0.0691546
Rhine	0.0688585
"Dongting Lake"	0.0681599
Kazakhstan	0.0680978
"Western Desert"	0.0676088
"Colorado River"	0.0672913
"Pacific Ocean"	0.0660805
"Sinai Peninsula"	0.0648855
"North Atlantic"	0.0648071
lake	0.0640996
"Nile River"	0.0633436
Atlantic	0.0624013
"Commonwealth of Independent States"	0.0618982
"Bay of Bengal"	0.0607273
Alaska	0.0606765
"South Atlantic"	0.0606539
"Dead Sea"	0.0604353
"Black Sea Fleet"	0.0600866
pacific	0.059271
"North Island"	0.059243
Chechnya	0.0584921
Ci	0.0582571
"Barents Sea"	0.0581556
"Great Lakes"	0.0581051
peninsula	0.0579393
Xinjiang	0.0578418
"Aegean Sea"	0.0573441
"Arctic Circle"	0.057342
Afghanistan	0.0568799
"Mississippi River"	0.0559137
"Western Pacific"	0.0558461
Balkans	0.055634
"body of water"	0.0553679
oilfield	0.0551888
"Korean Peninsula"	0.0551191
"Suez Canal"	0.0548397
"Far Eastern"	0.0546809
Cabinda	0.0545238
"Jordan River"	0.0545058
"Arctic Ocean"	0.0544022
Danube	0.054299
"coal gas"	0.0542054
Euphrates	0.0537912
Mekong	0.0535676
"Lake Erie"	0.0534109
"Gulf Coast"	0.0532703
"Xinjiang Uygur Autonomous Region"	0.052957
Abkhazia	0.0525045
"Yellow Sea"	0.0524156
"Quintana Roo"	0.0522071
"South America"	0.052111
"river basin"	0.0517161
"Arabian Sea"	0.05134
"North Caucasus"	0.0510234
"Sea of Japan"	0.0509652
reservoir	0.0509083
"Arabian Peninsula"	0.050542
Balkan	0.0502604
"Strategic Petroleum Reserve"	0.0502092
"Lake Tanganyika"	0.0502049
"Atlantic Ocean"	0.050204
Putumayo	0.0501045
Arctic	0.0499443
"Jordan Valley"	0.0496507
ocean	0.0495558
"South Asia"	0.0494713
"Southeast Asia"	0.0491571
"Yellow River"	0.0489608
"natural gas"	0.0489486
"Lake Ontario"	0.0486921
Mid-Atlantic	0.0482679
Caribbean	0.047988
"East Africa"	0.047935
"Huaihe River"	0.0478234
pipeline	0.0477005
Nagorno-Karabakh	0.0476987
Galilee	0.0474765
"Eastern Europe"	0.0473515
Ingushetia	0.0473253
cosmodrome	0.0472401
CHT	0.0470252
subcontinent	0.0469319
Tigris	0.0468283
"Chesapeake Bay"	0.0467548
"Lake Michigan"	0.0467158
Tajikistan	0.0466195
"East Asia"	0.0463636
Isthmus	0.0462622
"Hudson River"	0.0461476
"Pearl River Delta"	0.0460234
Asia-Pacific	0.0460011
"Puget Sound"	0.0456112
"Baja California"	0.0454728
"Near East"	0.0452765
Daqing	0.0449597
Bekaa	0.0447558
Chiapas	0.0445941
lagoon	0.0444075
"Pacific Rim"	0.0442417
"Dianchi Lake"	0.0441123
"Cape Fear"	0.0440595
Yangtze	0.0440414
Daghestan	0.0439894
"Connecticut River"	0.0438909
"Southern Africa"	0.0434646
petroleum	0.0433092
"Taiwan Straits"	0.0431849
"South China"	0.042986
Dagestan	0.0428627
"Golden Triangle"	0.0428128
Alaskan	0.0427874
Ganges	0.0427211
"coastal plain"	0.0426313
"New York Harbor"	0.0425475
Oaxaca	0.0424537
Non-Proliferation	0.0424105
"Rio Grande"	0.0423456
Chad	0.0422199
"arms control"	0.0421471
"West Texas"	0.0420788
"Western Australia"	0.0420707
Kyushu	0.0420677
Gujarat	0.041946
"Missouri River"	0.0419151
"Pacific Coast"	0.0417664
Mideast	0.0416862
"Manila Bay"	0.0415974
"Yangtze River Delta"	0.0414839
"South Pacific"	0.0414353
"Hainan Island"	0.0413066
"San Francisco Bay"	0.0412224
"Latin America"	0.0410381
"Yangtze River"	0.0409427
hydrocarbon	0.0408664
Orissa	0.0407518
"Kuril Islands"	0.0407376
Drenica	0.0406699
Brcko	0.0405773
hinterland	0.0405657
Assab	0.0404379
"Gulf Cooperation Council"	0.0402889
Coal	0.0402823
"Western Europe"	0.0402321
Kazakstan	0.0402184
"Potomac River"	0.0400285
"Holy City"	0.040024
))
(CASS (desc 3033.78) (sims
CPAFFC	0.192993
CAS	0.139721
CNOOC	0.135457
ACWF	0.121771
CNPC	0.118613
ICBC	0.115231
Qinghua	0.104581
OCA	0.102044
CFA	0.100773
CCPIT	0.100019
HKFA	0.098944
CMA	0.0986041
"Chinese Olympic Committee"	0.0980119
SDB	0.0953628
CCB	0.0944834
"EU Commission"	0.0935432
ACFTU	0.0935379
Eximbank	0.0928576
"U.S. Soccer Federation"	0.0921
SPC	0.0910431
ARATS	0.0907872
"RAND Corp."	0.090114
PSE	0.089046
MII	0.0888636
EBRD	0.0873115
NARAL	0.0868373
CIRC	0.0849123
"Brookings Institution"	0.0842877
MSF	0.0839543
CCF	0.0834265
CSA	0.0828563
CITIC	0.0828087
"Ford Motor Company"	0.0820932
"CBS Sports"	0.0816967
CWA	0.078166
HKTA	0.0776203
"Board of Supervisors"	0.077151
USTA	0.0758767
"Urban Institute"	0.0756428
ZCTU	0.0752428
BOC	0.0733183
"All-China Journalists Association"	0.0732134
ADB	0.0731829
DLC	0.0727597
"Brandeis University"	0.072143
IAI	0.071437
Dana-Farber	0.0712891
IMG	0.0712859
NCI	0.071167
CAA	0.0707303
Mei	0.0706917
SFA	0.0705307
Abram	0.0703149
Marchand	0.070294
"Heritage Foundation"	0.0701374
USGA	0.0699748
Greco	0.069658
"University of Tennessee"	0.0690597
Chenoweth	0.0682464
ITC	0.0679783
MacArthur	0.0678903
UCI	0.0675991
NSC	0.0673285
"Olympic Council of Asia"	0.0673096
PBOC	0.0672087
UMNO	0.0669152
CBI	0.0666418
IU	0.0666006
PICC	0.0665834
DFB	0.066455
"Israeli Foreign Ministry"	0.066265
"Australian Olympic Committee"	0.0661518
"Asian Football Confederation"	0.0660415
Markovic	0.0659002
CSE	0.0658898
COSCO	0.0654987
Wada	0.065498
UC	0.0654491
SSB	0.065432
CAF	0.0652293
Slatkin	0.0651981
Mullen	0.0651908
TDC	0.0651276
Internet@	0.0650608
BLM	0.0650062
Ashrawi	0.0649949
"Chinese Academy of Sciences"	0.0649058
Bundestag	0.0645939
Ingalls	0.0645518
Botswanan	0.0644875
CDB	0.0644258
NIH	0.064358
BSA	0.0640779
"Chinese Academy of Social Sciences"	0.0639596
CCA	0.063751
"Home Ministry"	0.0632413
"Labor Ministry"	0.0632216
UNIDO	0.0631197
"Ministry of Forestry"	0.0626984
Fiorina	0.0626485
Ziegler	0.0626362
"Johns Hopkins"	0.062611
Kagalovsky	0.0625069
Madden	0.0624751
"International Cycling Union"	0.0623947
"Visa International"	0.0623868
"Defense Agency"	0.0622047
"Transport Ministry"	0.0618826
"Allied Pilots Association"	0.0618196
Celera	0.0618042
SPP	0.0616757
Kern	0.0615098
CSC	0.0614902
Merritt	0.0614557
CNTA	0.0612946
"Agriculture Ministry"	0.0612636
FEMA	0.0612399
SDPC	0.061223
"Labor office"	0.0612009
"Turner Sports"	0.0612007
"American Association of Health Plans"	0.0611272
"Culture Ministry"	0.0611097
JMC	0.0610893
"USA Basketball"	0.0610165
"Federal Assembly"	0.0609963
Kelso	0.0607978
"China National Petroleum Corporation"	0.0607813
IAAF	0.060702
EC	0.0606682
"Association for Relations Across"	0.0606623
MCC	0.0605305
"World Court"	0.0605004
CalTech	0.0604608
"Georgia Power"	0.0604575
UNAMET	0.0602817
NHTSA	0.0601874
DMA	0.0600279
TDB	0.0600071
"Smith College"	0.0600035
Farnsworth	0.0598519
"Baylor University"	0.0596893
Shriver	0.0596877
Mathews	0.0593445
Arbour	0.0591962
SETC	0.0590867
FSA	0.058927
Emery	0.0588674
CPV	0.0588644
Simons	0.058733
Schafer	0.0586742
AHA	0.0586689
PDVSA	0.0586481
Bundesbank	0.0586315
Whaley	0.0585701
Sorensen	0.0585484
"Princeton University"	0.0585399
"National Audubon Society"	0.0585169
UGA	0.0583103
OECD	0.0582587
"Airport Authority"	0.0580601
Cao	0.0580267
"United Auto Workers"	0.0579333
"Screen Actors Guild"	0.0578444
Kiribati	0.0578067
"International Amateur Athletic Federation"	0.0575711
SFC	0.0573725
CPP	0.0573338
"Federal Reserve Bank of New York"	0.0573088
"U.S. Golf Association"	0.0572892
UNCTAD	0.0572628
Tilberis	0.0571636
WEF	0.0570801
AFA	0.0570742
"Con Edison"	0.057035
CDC	0.0568843
"U.S. Chamber of Commerce"	0.0568648
lauder	0.0568055
krueger	0.056487
IMS	0.0564346
"Legend Group"	0.0564173
SEPA	0.0563932
Lawler	0.0563175
CSRC	0.0560802
"Humane Society"	0.0560585
Lundberg	0.055979
ILO	0.0559765
"International Tennis Federation"	0.0559519
Hallinan	0.0559264
"National Council of La Raza"	0.0559016
Pape	0.0558961
ITTF	0.055762
"Health and Welfare Ministry"	0.0557338
AOC	0.0557226
"Parker Bowles"	0.0557122
"Asia Society"	0.0556014
Barad	0.0555647
"China Society"	0.0554583
DEP	0.0554563
"International Rescue Committee"	0.0553974
"Association of Flight Attendants"	0.055369
))
(Cassandra (desc 1564.55) (sims
Maureen	0.085018
"Queen Anne"	0.0739303
Edna	0.0673352
Frances	0.0662498
Farah	0.0652854
"Robin Hood"	0.0649727
Kathy	0.064581
Lois	0.0639438
Linda	0.0624816
Gabe	0.0622429
Rodionov	0.061896
Vicki	0.0614354
Archie	0.0580177
Scrooge	0.0573641
Kip	0.0572262
Beckenbauer	0.0571162
Esposito	0.0569438
Isis	0.056798
"Azizah Ismail"	0.0552454
Susan	0.0552006
"Jehovah's Witness"	0.0548206
Hayworth	0.0545682
Debra	0.0543727
White-McCarty	0.0543583
Dorothy	0.0538627
"Boutros Boutros Ghali"	0.0531071
Kristin	0.0528639
Marian	0.0526884
Ellen	0.0519488
Eileen	0.0513765
becky	0.0509898
Jacobson	0.0508307
Natasha	0.050809
Adrian	0.0501024
OSU	0.0500464
Lucia	0.0499282
Suzanne	0.0497323
Northup	0.0494004
"waiting game"	0.0493315
Christina	0.0493216
Rachel	0.0492864
Talebi	0.0489247
Sununu	0.0488313
Sonia	0.0487205
Patricia	0.0481918
Marlene	0.0481178
Juanita	0.0478963
Miriam	0.0477395
Kimberly	0.0474301
Debbie	0.0472282
McGreevey	0.0469803
Livia	0.0468876
Beverly	0.046813
Stephanie	0.0468105
Pauline	0.0467488
Cindy	0.0465597
Marilyn	0.0465564
Wiatt	0.0464604
Naomi	0.0461954
JoAnne	0.0461716
Bridget	0.0459184
Sara	0.0458475
Heidi	0.0457492
Karen	0.0454351
Donna	0.0454215
Collymore	0.0452838
Barbour	0.0451908
Winnie	0.0448831
Cristina	0.044847
Lori	0.0448035
Esther	0.0447983
Kate	0.0443686
Terri	0.0441765
Pam	0.0441127
Dyer	0.0440244
Gina	0.0439938
Samantha	0.0439055
Clara	0.0438469
Jessica	0.0437295
Doris	0.0436899
Cathy	0.0432879
"Adam Smith"	0.0432062
Edith	0.0429404
Stella	0.0429399
Irina	0.0428174
Cheryl	0.042667
Ana	0.0426416
kingmaker	0.0424687
Sally	0.0424524
"Singapore Telecom"	0.0423603
Renee	0.0422637
Tina	0.0420703
Eleanor	0.0419156
Lynne	0.0417192
Katherine	0.0415691
monstrosity	0.0415668
Rockefeller	0.0415537
Josh	0.0414261
"Mike Barnicle"	0.0414138
Theresa	0.0413866
McKay	0.0413853
Marion	0.041297
Pearce	0.041234
Michelle	0.0412283
McCullough	0.0411958
Denise	0.0411584
Josephine	0.0411048
croquet	0.0409841
ANN	0.0409816
Olivia	0.0409345
"second fiddle"	0.0408785
autocrat	0.0408436
temptress	0.0408175
Leslie	0.0407485
Jessie	0.0406954
CBO	0.0405932
Crichton	0.0405809
Claudia	0.0405775
TDB	0.0403814
Godfrey	0.0403756
Angela	0.0403646
Julia	0.0401938
Brenda	0.0401881
"guessing game"	0.0401467
Harriet	0.0400404
))
(cassava (desc 5605.94) (sims
sorghum	0.270382
sugarcane	0.220704
"sugar cane"	0.201443
maize	0.201059
barley	0.187287
"sweet potato"	0.179009
groundnut	0.177809
millet	0.177072
yam	0.168561
soybean	0.166665
plantain	0.165896
paddy	0.161938
corn	0.16099
"sugar beet"	0.15906
bean	0.155592
cotton	0.151495
soya	0.150699
rapeseed	0.150298
"soya bean"	0.147924
wheat	0.14221
oilseed	0.136951
potato	0.134915
sunflower	0.134159
"oil palm"	0.133983
pea	0.13271
rice	0.131061
sesame	0.129926
alfalfa	0.123777
coca	0.122487
tapioca	0.119775
pineapple	0.119624
canola	0.118836
"sunflower seed"	0.118516
okra	0.117451
Yucca	0.117112
beet	0.11457
banana	0.114001
buckwheat	0.112177
"lima bean"	0.111681
melon	0.111285
cashew	0.110585
"black-eyed pea"	0.10886
"palm oil"	0.107844
cabbage	0.106353
squash	0.106332
watermelon	0.106313
"winter squash"	0.105354
"cashew nut"	0.105014
oat	0.104389
grain	0.104334
tomato	0.100461
mango	0.0999893
peanut	0.0995268
"green bean"	0.0992454
lentil	0.099134
"sweet corn"	0.0985205
cocoa	0.0971657
legume	0.0960417
litchi	0.0955214
cucumber	0.0953642
vegetable	0.0950426
parsnip	0.0941288
coconut	0.0931993
"cooking oil"	0.0930614
poppy	0.0927383
cacao	0.0921471
porridge	0.0918055
cereal	0.0911861
coffee	0.090621
Tuber	0.0900989
onion	0.0898907
radish	0.0892804
eggplant	0.0890216
Broccoli	0.0880307
pumpkin	0.0874687
blueberry	0.086926
"vegetable oil"	0.0866428
tobacco	0.0862096
cranberry	0.0859866
"sea food"	0.085455
fruit	0.0854469
"opium poppy"	0.0854024
sugar	0.0853463
carrot	0.085305
Collard	0.0844098
grape	0.0832283
tea	0.0829465
"black bean"	0.0820105
jute	0.0814346
pork	0.080398
hemp	0.079438
citrus	0.0788782
zucchini	0.0787325
Chickpea	0.0786531
Garlic	0.0782292
Mulberry	0.0777936
soy	0.0773892
egg	0.0772911
lettuce	0.0768023
celery	0.0760548
bread	0.0759977
"pig iron"	0.0758916
"citrus fruit"	0.0753922
shrimp	0.0753876
poultry	0.0752585
asparagus	0.0749576
flax	0.0747875
peach	0.0739602
gourd	0.0739227
"fava bean"	0.0737651
spinach	0.0733587
"brown rice"	0.0728118
"hot pepper"	0.0723599
pear	0.0722341
"Chinese cabbage"	0.0721798
"collard greens"	0.0720557
"food grain"	0.0719224
grapefruit	0.0717603
tortilla	0.0713657
"root vegetable"	0.0709882
apple	0.070492
noodle	0.0697429
mutton	0.0696082
Chili	0.069604
"wheat flour"	0.0695358
mushroom	0.0693622
"brussels sprout"	0.0691706
flour	0.068809
pasta	0.0683303
Burley	0.0675994
cauliflower	0.0667142
Livestock	0.0666705
shellfish	0.0665173
"bamboo shoot"	0.0662919
strawberry	0.0661778
pilaf	0.0658203
hay	0.065707
lysine	0.0655473
turnip	0.0650269
bran	0.0646117
timber	0.0645332
ginseng	0.0645138
"green pepper"	0.0641998
sprout	0.0641685
sausage	0.0640981
"meat loaf"	0.0639959
almond	0.063654
prawn	0.0628671
pulse	0.0628208
seaweed	0.0624192
"coffee bean"	0.0621507
crawfish	0.0613499
"string bean"	0.0611013
papaya	0.0608406
bulgur	0.0605855
"cane sugar"	0.0605366
cantaloupe	0.0604423
"green onion"	0.06006
jalapeno	0.0598059
seedling	0.0592153
CPO	0.0590779
eel	0.0588262
ginkgo	0.0587133
"corn chip"	0.0586799
veggie	0.0586168
nut	0.0584564
"roast beef"	0.0583394
rye	0.0583289
coleslaw	0.0578206
peony	0.0577932
ethylene	0.0573898
biscuit	0.0572519
"polyvinyl chloride"	0.056893
"bell pepper"	0.0565905
"sesame seed"	0.0563976
Kale	0.0563335
avocado	0.0562229
mint	0.0558804
seafood	0.0556877
leek	0.0556773
kudzu	0.0556135
"chili pepper"	0.0554996
aquatics	0.0553732
"white bean"	0.0552598
Pudding	0.0549916
opium	0.054952
berry	0.0545647
sisal	0.0544917
cracker	0.054485
raisin	0.0544484
Catfish	0.0543791
"peanut oil"	0.0543732
"potato salad"	0.0543623
artichoke	0.0542792
broth	0.0541622
ham	0.0541169
fungus	0.0538014
"pinto bean"	0.0537085
"iron ore"	0.0537069
dandelion	0.0536906
))
(Cassell (desc 2806.06) (sims
"Van Horn"	0.182111
MARBURY	0.126475
"Sam Cassell"	0.123933
Muoneke	0.11805
Laperriere	0.117635
Webber	0.114949
"SCOTT BURRELL"	0.113124
Hornacek	0.111899
"Keith Van Horn"	0.108193
Fortson	0.10743
Croshere	0.107405
Kittles	0.10577
Cota	0.104853
Nevin	0.104093
Kukoc	0.103506
Dunleavy	0.103355
Harbaugh	0.102066
Gatling	0.10171
Stackhouse	0.100622
Kemp	0.100532
Brunell	0.100493
"Van Exel"	0.100302
Cato	0.0980734
McIlvaine	0.0975007
DeShields	0.0969398
Polynice	0.0954522
Swoopes	0.0953118
Sabonis	0.0946131
Hardaway	0.0940756
Kidd	0.0938933
Paus	0.0936955
Abdur-Rahim	0.0924072
Mullin	0.0922497
Alicea	0.0922378
Iverson	0.0919172
Ceballos	0.0917186
"Rony Seikaly"	0.0916602
Cleaves	0.0913931
Geiger	0.0908527
"Kendall Gill"	0.0905981
Fizer	0.0904036
Cora	0.0903075
Andreychuk	0.0902034
Favre	0.0898005
Laudrup	0.0896229
Stoudamire	0.0895304
Longley	0.0888404
DiSarcina	0.0880336
Bryant	0.0878768
Smits	0.0875812
Odom	0.0873989
Nailon	0.0871386
Burrell	0.0856862
Gillom	0.0855248
Barrasso	0.0854424
"Stephon Marbury"	0.0854202
Langenbrunner	0.08491
"Dale Davis"	0.0848552
Scalabrine	0.0848347
Artest	0.0844194
Lieberthal	0.0842897
Olajuwon	0.0841367
Horry	0.0840153
Laettner	0.0836237
Dunston	0.0828704
Segui	0.0826292
Baerga	0.0822673
Dele	0.0819506
Lacroix	0.0816371
Tuggle	0.0812119
Trent	0.0811529
Lobo	0.0810583
Pederson	0.0805494
Sehorn	0.0804638
Palffy	0.080072
Lehtinen	0.0797613
Soward	0.0795673
Ellsworth	0.0794835
Roenick	0.0790326
Holloway	0.0790301
Holdsclaw	0.0788375
"Glenn Robinson"	0.0787456
Nash	0.0786704
Hasselbeck	0.0785577
Garrity	0.0785571
El-Amin	0.0784584
Meares	0.078272
Marinovich	0.0780607
Stumpel	0.0779865
Graziani	0.0776282
Carbonneau	0.0771906
Najera	0.0768768
Mobley	0.0765509
Audette	0.076537
Olowokandi	0.076235
Moiso	0.0762076
Childs	0.0758486
Grbac	0.0753476
Beasley	0.0753039
Swann	0.0750326
Lassiter	0.0748876
Duchesne	0.0748367
Brogna	0.0746906
"Samaki Walker"	0.0746134
Elie	0.0745314
Garnett	0.0744351
Gugliotta	0.0743829
White-McCarty	0.0743335
Timms	0.0741739
McCown	0.0738967
"Donyell Marshall"	0.0738548
Hecht	0.0737316
Matthaeus	0.0736032
"Kobe Bryant"	0.0733391
Alou	0.0733153
Francis	0.0733046
Aikman	0.0732297
Wolfson	0.0731376
gill	0.0730032
Lue	0.0727561
Berard	0.0723368
Giambi	0.0722855
Raines	0.0722499
Kerrigan	0.0719731
Chrebet	0.0719224
Murrell	0.0718285
STALEY	0.0715631
"Jayson Williams"	0.0711302
duncan	0.0707985
Hundley	0.0706742
Glynn	0.0705306
McCarty	0.0704538
Buhner	0.0704071
Wheatley	0.0704009
Brosius	0.0703979
Weatherspoon	0.0703965
O'Donnell	0.0703047
Nowitzki	0.0702912
Ruehe	0.0701355
Gadzuric	0.0701005
Canseco	0.0700679
"Jim McIlvaine"	0.0700084
Ewing	0.0699421
Skiles	0.0697604
Kerr	0.0695455
DeBerg	0.0692203
Metcalf	0.069078
Fleischer	0.0690568
Peca	0.0690027
Lampkin	0.0689667
Beltre	0.0688471
Stinnett	0.068787
Gervin	0.0684892
Rosenblatt	0.0684461
Mendez	0.068385
Renteria	0.0682845
Wilkins	0.0682463
Niedermayer	0.0680798
Dee	0.0679284
"Sean Elliott"	0.0679148
Velarde	0.0678437
"Grant Hill"	0.0677672
Guillen	0.0676707
"John Wallace"	0.0676671
Coley	0.0673737
Bradford	0.0673138
Monahan	0.0673084
Candiotti	0.0671412
Gogel	0.0670465
Perisho	0.0669329
Schrempf	0.0669326
Irvin	0.0668934
"Kerry Kittles"	0.0667683
Reichel	0.0667484
Ainge	0.0666265
Fryman	0.0665245
Testaverde	0.0664636
McDyess	0.0664631
Cirillo	0.0664235
Brees	0.0662899
Bonilla	0.0661827
Messier	0.066166
Vizcaino	0.066164
Milbury	0.0661039
Chaney	0.0660411
Jagr	0.0660269
Fedorov	0.0660245
Mashburn	0.0660041
Robinson	0.065965
Santangelo	0.0659599
Arnett	0.0658269
Turgeon	0.0658183
Strickland	0.0656699
Harkes	0.0656404
Tkachuk	0.0655792
"Vin Baker"	0.0653741
Sheehan	0.0652825
Robitaille	0.0652674
Smolinski	0.0651514
Keane	0.0651461
))
(Casserly (desc 2590.94) (sims
Wannstedt	0.147415
Zambrano	0.127695
Zampese	0.12154
"Dwight Clark"	0.108923
Gailey	0.108258
Harrick	0.107285
Stoneman	0.103523
Calipari	0.101829
Sampson	0.10171
Waddell	0.100967
Clancy	0.0994037
Bavasi	0.0990138
Rahal	0.098937
"Don Nelson"	0.0980143
Monson	0.0971729
Fonda	0.0965695
Tomey	0.0958294
McGinnis	0.0945635
Popovich	0.0944538
"Rich Brooks"	0.0941455
Polian	0.0932155
Gauthier	0.0926212
Romar	0.0920829
GRUNFELD	0.0919999
Schottenheimer	0.0918475
"Pete Carroll"	0.0906593
Campo	0.0884731
Milbury	0.087736
Layden	0.0875135
Schoenfeld	0.0874944
Okada	0.0868076
Keady	0.0867126
Talebi	0.0854805
Billick	0.0854792
Birnbaum	0.0845362
McKeon	0.0839484
Sather	0.0839039
Cowens	0.0824973
Ponciano	0.0819743
Tuberville	0.0816976
Holmgren	0.0816957
"Ernie Grunfeld"	0.0803048
"Davey Johnson"	0.0802676
"Don Baylor"	0.0796861
Holtz	0.0796675
Ditka	0.0794781
Neuheisel	0.0793668
"Dennis Erickson"	0.0790481
Donnan	0.0788387
"Norv Turner"	0.0784741
Patterson	0.0784112
"John Robinson"	0.0780562
"Tim Floyd"	0.0776689
Ribbeck	0.0775389
Passarella	0.0775087
beamer	0.0773723
Duquette	0.0771291
Gullikson	0.0770195
Lambright	0.0769151
Bettman	0.076624
Schmid	0.0766176
"Glenn Hoddle"	0.0765046
Beathard	0.0762097
"Dave Cowens"	0.0761727
Muckler	0.0759473
Bubb	0.0758458
Canty	0.0753766
Bowden	0.0751138
Jorgensen	0.0749833
Colangelo	0.0749664
Ainge	0.0748696
"Skip Hicks"	0.0746564
Rambis	0.0746164
"Chan Gailey"	0.0745485
Vogel	0.0742256
Borodin	0.0736058
Dobbs	0.0735724
Hartsburg	0.0729293
Erickson	0.0728996
Donahue	0.0728441
Hoddle	0.0724274
Hargrove	0.0721845
Osborne	0.0721474
Mariucci	0.0719057
Belichick	0.0718902
Wilhelm	0.0717331
"Jim Leyland"	0.0716209
Venables	0.0714103
Ftorek	0.0713293
"June Jones"	0.0706578
DuBose	0.0705755
Solis	0.0702959
"Lenny Wilkens"	0.0701211
Narayanan	0.0700755
"Neil Smith"	0.0700389
Rongen	0.0697916
"Kurt Rambis"	0.0696823
"Bora Milutinovic"	0.0694572
Switzer	0.0693503
"Mike Smith"	0.0693002
Berra	0.0687553
"Dave Wannstedt"	0.0686575
Kaplan	0.068651
"Rick Neuheisel"	0.068602
DiCicco	0.0685914
Fassel	0.0685617
Skuratov	0.0683959
Jarvis	0.0683928
"Mike Holmgren"	0.0683552
Laudrup	0.068193
Hobson	0.0681068
Scioscia	0.0680762
Tubbs	0.0680693
Koehler	0.06797
Rhodes	0.0679684
Zenga	0.067486
Krzyzewski	0.0674303
O'Donnell	0.06738
Milutinovic	0.0673629
hough	0.0673
"Van Gundy"	0.0667643
"Jim Harrick"	0.0666104
Chevenement	0.0665251
Evernham	0.0665099
Cashman	0.0662852
"Chris Palmer"	0.0662451
Graziano	0.0662175
Iger	0.0661694
Gillick	0.0658122
"de Charette"	0.0656647
Checketts	0.0656386
Franchione	0.0655456
Cremins	0.0654041
Irvan	0.0653855
Edelstein	0.065277
Babcock	0.0652077
"John Calipari"	0.0650578
Sununu	0.0644656
MSG	0.0644603
Brazile	0.0642938
Wilkens	0.064268
"Tom Landry"	0.0642531
Rooney	0.0642113
Levin	0.0639783
Pfeiffer	0.0636825
Ganassi	0.063659
Martz	0.0634807
"Butch Carter"	0.0633592
"Michael Westbrook"	0.0633273
Leyland	0.063296
"TOM COUGHLIN"	0.0632617
Paxon	0.0630601
O'Leary	0.0630271
Showalter	0.0626313
Dooley	0.0625354
Ulrich	0.0624741
"Colin Campbell"	0.0624447
Seifert	0.0621923
"Darrell Green"	0.0621155
Divac	0.062058
"Dave Campo"	0.0619365
Fulmer	0.0618076
Rubenstein	0.0617675
Stacy	0.0616189
Piniella	0.0614026
Triplett	0.0610627
Imperatori	0.0609493
Baugh	0.0607079
krueger	0.0606791
Anelka	0.0605686
Wren	0.0605434
Joklik	0.0605432
"La Russa"	0.0605016
Vaughan	0.0604238
Messier	0.0603915
Collymore	0.0603445
Barad	0.0603405
Masur	0.0603102
Kennelly	0.0602375
"Doc Rivers"	0.0602034
Robson	0.0598817
Brisby	0.0598748
Atwater	0.0598193
Iglesias	0.0597358
Cowher	0.0597242
Ackerman	0.0597041
Zimmer	0.0596376
Nolan	0.0595914
Andreessen	0.0595406
Beye	0.0594793
"De la Cruz"	0.0594678
Parrish	0.059396
Verney	0.0593111
Gainey	0.0590748
Harbaugh	0.0590587
Clooney	0.0590504
Cowan	0.0590132
Reimer	0.0588828
"Dom Capers"	0.0588023
Lepage	0.0587871
))
(Casserole (desc 14671) (sims
saucepan	0.263718
"Dutch oven"	0.2422
skillet	0.227838
dish	0.193169
pan	0.191419
stockpot	0.178749
ramekins	0.176209
salad	0.161563
soup	0.153472
pot	0.148208
wok	0.148029
"frying pan"	0.145495
stew	0.141788
bowl	0.141273
gratin	0.135123
pie	0.134738
"mixing bowl"	0.132924
cheesecake	0.128486
cooker	0.127978
quiche	0.126442
Pudding	0.124891
Souffle	0.124166
kettle	0.122997
pasta	0.122817
TART	0.122293
sauce	0.120845
cake	0.120684
"vegetable soup"	0.11908
bread	0.112769
meatloaf	0.110452
broth	0.109042
gravy	0.107981
sandwich	0.106335
noodle	0.106079
spaghetti	0.104827
platter	0.104432
"double boiler"	0.103731
chowder	0.103621
dessert	0.103589
custard	0.102818
"serving dish"	0.102494
"potato salad"	0.101446
potato	0.100911
risotto	0.100902
quesadillas	0.100442
"macaroni and cheese"	0.0998058
paella	0.0992507
pastry	0.0983125
omelet	0.0974729
pancake	0.0973672
pilaf	0.097293
ravioli	0.0972851
latke	0.097077
dumpling	0.0969224
steak	0.0967661
gumbo	0.0960354
sausage	0.0960046
slaw	0.0957283
frittata	0.0947583
cooky	0.0947551
pizza	0.0939667
marinade	0.0929047
stuffing	0.0927585
filling	0.0926014
enchilada	0.0921438
porridge	0.092079
chicken	0.091829
Chili	0.0914982
bean	0.0914372
flan	0.0911874
mixture	0.0911747
biscuit	0.0908497
tortilla	0.0907204
puree	0.0906719
tray	0.0904428
muffin	0.0900709
polenta	0.0897717
"Caesar salad"	0.0889065
taco	0.0887288
terrine	0.0880538
"baked goods"	0.0872357
cornbread	0.0868163
tortellini	0.0864824
Lasagna	0.0864355
slice	0.0855722
crust	0.0854113
"chicken salad"	0.0845192
jar	0.0844516
ham	0.08319
scone	0.0828725
"pumpkin pie"	0.0826077
burgers	0.082473
ragout	0.0815906
"tomato sauce"	0.0812595
mold	0.0812441
pickle	0.0806407
"pot roast"	0.0803258
"roast beef"	0.0802904
cabbage	0.0802786
"pie shell"	0.079853
"pecan pie"	0.0796739
"chocolate cake"	0.0796096
cheese	0.0791567
"measuring cup"	0.0789593
oven	0.0788072
kebab	0.0783535
bowls	0.0782772
"french fries"	0.0780917
"side dish"	0.077503
loaf	0.0770127
brownie	0.0766567
GRIDDLE	0.076609
recipe	0.0759079
shortcake	0.075685
container	0.0749203
vegetable	0.07477
blender	0.0747572
"sweet potato"	0.0746634
croissant	0.0746079
COBBLER	0.0743094
crepe	0.0741861
tomato	0.0737798
coleslaw	0.0737163
appetizer	0.0737116
fryer	0.0730818
"food processor"	0.0729746
eggplant	0.0723762
seafood	0.0723543
pesto	0.0722815
plate	0.072192
meatball	0.0719972
"ice cream"	0.0718623
roast	0.0715456
egg	0.0713894
salsa	0.0705599
cookie	0.0702437
macaroni	0.070164
confit	0.0701383
Fondue	0.0699255
birdbath	0.0697295
colander	0.0685706
"salad dressing"	0.0683164
fruitcake	0.0675397
shrimp	0.0673699
butter	0.067179
"chicken breast"	0.0669324
bisque	0.0665889
croutons	0.0664442
entree	0.0664065
sushi	0.0660939
"French toast"	0.0659929
dough	0.0659463
patty	0.0656087
florets	0.0655666
meat	0.0652438
yam	0.0651818
"pie crust"	0.0645596
curd	0.0641134
lettuce	0.0641091
grits	0.0634547
artichoke	0.0634268
onion	0.0633208
grill	0.0632834
fillet	0.0631737
pumpkin	0.0629724
asparagus	0.0628774
bruschetta	0.062813
"chocolate chip cookie"	0.0627857
carrot	0.0627653
plantain	0.062727
dressing	0.0627252
focaccia	0.0626683
strainer	0.0626395
"goat cheese"	0.0626219
Hamburger	0.06233
lentil	0.0621048
waffle	0.061281
pea	0.0611957
sheet	0.0610095
toast	0.0608682
vinaigrette	0.0605403
"collard greens"	0.0604763
turnip	0.0603813
Topping	0.0603519
cutlet	0.05998
"green salad"	0.0598483
chutney	0.0597742
"chocolate mousse"	0.0595063
cracker	0.0593865
"cold cuts"	0.0592309
okra	0.0590923
gnocchi	0.0590845
cube	0.0590476
juice	0.0589639
hummus	0.0588046
pork	0.0587531
Tamale	0.0587248
Burrito	0.0586992
cupcake	0.0586199
jelly	0.0585828
))
(cassette (desc 15572.2) (sims
"cassette tape"	0.217341
"compact disc"	0.215009
"compact disk"	0.189106
VCDs	0.187643
DVDs	0.184638
videocassette	0.178486
CD	0.176378
tape	0.169104
CD-ROM	0.163981
disc	0.155536
videotape	0.146092
"cassette player"	0.138803
disk	0.130139
DVD	0.129462
video	0.129439
LDs	0.12884
VCD	0.127576
audiotape	0.126369
"tape player"	0.119456
audio	0.116476
VCR	0.115968
"floppy disk"	0.115911
"cassette recorder"	0.115144
VHS	0.105348
CD-R	0.105205
recorder	0.102659
"CD player"	0.0995578
copy	0.0981968
Recording	0.0953202
floppy	0.0942103
cartridge	0.0904206
"sheet music"	0.087147
"tape recording"	0.0862027
diskette	0.0860088
"videocassette recorder"	0.0851057
LPs	0.0849898
"computer equipment"	0.0833356
transcript	0.0801287
"tv set"	0.0800327
stereo	0.0800235
pamphlet	0.0797776
"video game"	0.0797125
"tape recorder"	0.0795806
postcard	0.0781544
camcorders	0.0779792
clip	0.0758326
album	0.0740151
"television set"	0.0735048
"greeting card"	0.0727439
decoder	0.0725264
"video equipment"	0.07027
booklet	0.0697189
manuscript	0.0696469
MP@	0.069502
brochure	0.0693975
camera	0.0686877
snippet	0.0675894
card	0.0669276
manual	0.0666704
software	0.0655873
LP	0.0653423
"trading card"	0.0652802
microfilm	0.0651061
"baseball card"	0.0650294
compilation	0.0647637
demo	0.0646303
paperback	0.0645734
poster	0.0645025
"personal computer"	0.0641256
photograph	0.0638627
leaflet	0.0630139
camcorder	0.0627462
paraphernalia	0.0626383
merchandise	0.0624257
publication	0.0614161
downloading	0.0611589
kit	0.0610931
Coin	0.0609787
appliance	0.0606417
notebook	0.0605822
archive	0.06013
workbook	0.060115
"computer file"	0.0598523
memorabilia	0.0595928
"sewing machine"	0.0595515
"business card"	0.0595471
PC	0.0595121
soundtrack	0.0588587
packet	0.0588296
copying	0.0586409
catalog	0.0585153
artifact	0.0579772
"clock radio"	0.0578195
pornography	0.0570666
DIVX	0.0569221
"newspaper clipping"	0.0568099
periodical	0.0566905
toy	0.056492
handset	0.0562848
"microwave oven"	0.0562668
T-shirt	0.0561268
excerpt	0.0561132
"motor vehicle"	0.0560428
"consumer electronics"	0.0559392
"electronic equipment"	0.0559271
"home movie"	0.0556825
subscription	0.0555323
Walkman	0.0552826
"washing machine"	0.0552597
"Beanie Babies"	0.054773
changer	0.0546088
bottle	0.0544483
"application form"	0.0544317
"passenger car"	0.0543903
sticker	0.0543757
doll	0.0541286
textbook	0.0535744
DVD-ROM	0.053539
transcription	0.0532742
sample	0.0532678
playback	0.053174
"silver dollar"	0.0531184
"sheet of paper"	0.0522419
tablet	0.0521988
automobile	0.0520968
souvenir	0.0519331
"memory chip"	0.0518717
text	0.051831
"laptop computer"	0.0515776
"Christmas card"	0.0513117
pill	0.0512378
battery	0.0512355
artwork	0.0511796
edition	0.0511309
"telephone set"	0.0510093
MP@s	0.0509019
trinket	0.0507056
Encyclopedia	0.0506415
container	0.0505697
"Iranian POWs"	0.0505474
firearm	0.050344
"written material"	0.0502991
"disk drive"	0.0502791
"musical instrument"	0.0502614
"machine tool"	0.0502472
"Iraqi POWs"	0.0501785
laptop	0.0501326
HDTV	0.049943
cigarette	0.0498934
"season ticket"	0.0498722
envelope	0.0498139
"newspaper article"	0.0495393
liquor	0.0494904
pagers	0.0494783
"computer hardware"	0.049424
"production equipment"	0.0492759
"cellular phone"	0.0492538
printer	0.0492318
printout	0.0490068
goods	0.0489954
stamp	0.0485794
"food product"	0.0484697
"plane ticket"	0.0484433
"desktop computer"	0.0484297
reprint	0.048025
"fax machine"	0.0479176
piracy	0.0478701
footage	0.0478239
apparel	0.047799
notepad	0.0477608
condom	0.047277
"hard disk"	0.0472743
format	0.0471453
scanner	0.0471056
refrigerator	0.0470057
"audio CD"	0.046904
furniture	0.046614
"laser printer"	0.0465963
stills	0.0464253
"home appliance"	0.046299
calculator	0.0462194
typewriter	0.0461157
Banknote	0.0461008
PlayStation	0.0460837
conditioner	0.0460221
Motorcycle	0.0459566
batch	0.0458405
"scientific instrument"	0.0458341
jewelry	0.0458264
cable	0.0456997
wristwatch	0.0456871
coupon	0.0456715
"communications equipment"	0.0456223
memento	0.0454942
transmission	0.0454678
"historical document"	0.0452983
handgun	0.045285
Anthology	0.0452361
copier	0.0451054
"cellular telephone"	0.0449891
))
("cassette player" (desc 2867.18) (sims
"tape player"	0.249866
"CD player"	0.207528
"cassette recorder"	0.164803
cassette	0.138803
"tape recorder"	0.126944
stereo	0.126369
headphone	0.114239
tuner	0.11307
VCR	0.101705
"cassette tape"	0.0901046
"stereo system"	0.0860488
changer	0.0852281
amplifier	0.0848318
"television set"	0.084288
"sound system"	0.0805499
"tv set"	0.080271
"compact disk"	0.0784491
recorder	0.0761957
Projector	0.0736282
"sewing machine"	0.0732242
"washing machine"	0.0724446
"videocassette recorder"	0.0721655
phonograph	0.0715617
"speaker system"	0.0711859
"microwave oven"	0.0706059
VCDs	0.0700032
"fax machine"	0.0668147
"first-aid kit"	0.0651143
sunroof	0.0645403
"kitchen appliance"	0.063472
DVDs	0.0624113
floppy	0.0621628
LDs	0.0608351
heater	0.0604466
"compact disc"	0.0602468
camcorders	0.0601719
stapler	0.0593777
easel	0.0593332
"clock radio"	0.0591111
"bucket seat"	0.0589813
"relay stations"	0.058784
"power tool"	0.0572863
potty	0.0569581
CD-R	0.0554091
"cellular telephone"	0.0542329
ISDN	0.0539936
"disk drive"	0.0536669
"electric fan"	0.0534767
air-conditioner	0.0531333
"consumer electronics"	0.0531278
decoder	0.0531218
headset	0.053027
conditioner	0.0529338
playpen	0.0525562
defibrillator	0.0521744
"hand-held computer"	0.051803
"laptop computer"	0.0511898
VCD	0.0510837
photocopier	0.0502196
"portable computer"	0.0495514
flashlight	0.0495079
gab	0.0486439
"power steering"	0.0475959
gizmo	0.0471939
earplugs	0.0470104
"hair dryer"	0.0466828
"floppy disk"	0.0465791
footwear	0.0462563
"vacuum cleaner"	0.0454803
camcorder	0.0448896
"electronic device"	0.0448872
beepers	0.0446479
"computer equipment"	0.0443358
"broadcasting company"	0.0442167
analyzer	0.0442128
adapter	0.04395
birdbath	0.0438532
sheeting	0.0437788
"audio system"	0.0432409
"newspaper advertisement"	0.043172
telemarketer	0.0429056
"car seat"	0.0425777
playback	0.042338
jacks	0.0419253
wristwatch	0.041828
"trading card"	0.0415836
"mechanical device"	0.0413542
turntable	0.0413363
"color television"	0.0412979
mixer	0.0410526
transponder	0.0405508
"U.S. Information Agency"	0.0405505
cartridge	0.0402811
"love seat"	0.040269
))
("cassette recorder" (desc 1904.67) (sims
"videocassette recorder"	0.366798
camcorders	0.186739
"tape recorder"	0.180446
VCR	0.171257
air-conditioner	0.169007
"washing machine"	0.166824
"cassette player"	0.164803
"electric fan"	0.156457
stereo	0.144954
"tape player"	0.14442
"stereo system"	0.138264
conditioner	0.13514
"tv set"	0.134885
"telephone set"	0.134457
"color television"	0.133361
"television set"	0.127103
"microwave oven"	0.120921
camcorder	0.1188
"CD player"	0.118724
recorder	0.116911
cassette	0.115144
"kitchen appliance"	0.110955
"radio set"	0.104072
"sewing machine"	0.103156
refrigerator	0.0974376
"fax machine"	0.0936719
"compact disc"	0.0898566
switchboard	0.0842928
decoder	0.0842043
appliance	0.0822956
DVDs	0.0811426
"home appliance"	0.0810533
"compact disk"	0.0803192
"electronic equipment"	0.0796572
"radio transmitter"	0.0794841
dishwasher	0.0778565
"video equipment"	0.0773727
"household appliance"	0.0762505
"gas stove"	0.0756468
"video game"	0.074549
fridge	0.0742577
phonograph	0.0735135
"audio system"	0.0719144
photocopier	0.0713633
Walkman	0.0700771
gab	0.0698925
toaster	0.069818
"consumer electronics"	0.0697355
"cassette tape"	0.069575
voyeurism	0.0694564
Projector	0.0687847
cooker	0.0680274
"hair dryer"	0.0677296
"alarm system"	0.0671043
stove	0.0670756
"central heating"	0.0657042
"clock radio"	0.0650461
dryer	0.0639838
"exercise equipment"	0.0636575
telemarketer	0.0635
"communications service"	0.0620426
"cellular phone"	0.0618901
"laptop computer"	0.0613681
"print media"	0.0612751
"broadcasting company"	0.0608941
"cellular telephone"	0.0606206
transistor	0.0597336
beeper	0.0591474
transmitter	0.0590869
Jukebox	0.0590273
VCDs	0.0580518
grabber	0.0580099
playback	0.057767
"telephone service"	0.0575722
"lawn mower"	0.0571442
binocular	0.0568742
pagers	0.0566495
Centerfold	0.0556508
pager	0.0552284
flashlight	0.054825
"relay stations"	0.0547326
videogames	0.0546151
tuner	0.0544699
"pinball machine"	0.0544302
"TV program"	0.0541848
amplifier	0.0535781
transformer	0.0535163
"test equipment"	0.0534348
cutlery	0.0534228
wristwatch	0.0534182
beepers	0.0531608
"hand-held computer"	0.0528606
heater	0.0521106
afterburner	0.0518934
"cat food"	0.051757
"telephone system"	0.0517506
"scientific instrument"	0.051639
"satellite receiver"	0.051502
dinnerware	0.0513972
microwave	0.0510642
typewriter	0.0505405
peripheral	0.0504903
doorbell	0.0503861
"security system"	0.0502475
"newspaper advertisement"	0.0502097
playlist	0.0498755
"office furniture"	0.0495794
"computer equipment"	0.0494086
air-conditioning	0.049212
"piece of furniture"	0.0490193
handset	0.048006
notepad	0.0479485
"train ticket"	0.0478993
"water pump"	0.0478042
"alarm clock"	0.0476583
hookup	0.0473225
audiotape	0.0471614
"laser printer"	0.0470049
diskette	0.0469374
"circuit board"	0.0467409
"computer game"	0.046647
"water heater"	0.0465809
"power tool"	0.0464647
"vacuum cleaner"	0.0462882
"beach house"	0.0461527
"newspaper ad"	0.0461259
airplay	0.0458123
joysticks	0.0457357
capacitor	0.0457144
"communications equipment"	0.045672
remotes	0.0452794
"printing press"	0.045073
sonar	0.0443777
webcams	0.0443633
PlayStation	0.0443594
"memory chip"	0.0438738
countertops	0.0438704
"communications network"	0.0435768
"sound system"	0.0433586
synthesizers	0.0431733
minibuses	0.043128
"news bulletin"	0.0429939
optic	0.0427526
headphone	0.0427427
Reel.com	0.0424084
"electric light"	0.0423718
"electronic device"	0.0423422
"steam locomotive"	0.0420615
"frozen foods"	0.0419385
"communication system"	0.0414568
"laundry detergent"	0.0413943
gizmo	0.0413205
drier	0.041295
kitchenette	0.0411094
gadgetry	0.0409516
"radio signal"	0.0409193
"warning light"	0.0408044
floodlight	0.040791
"consumer durables"	0.0407418
sport-utility	0.0404704
))
("cassette tape" (desc 3985.29) (sims
cassette	0.217341
"compact disk"	0.201991
"compact disc"	0.174138
VCDs	0.16197
audiotape	0.137025
videocassette	0.134651
DVDs	0.132427
LDs	0.130536
CD-ROM	0.118924
tape	0.113596
CD	0.112723
disc	0.103158
floppy	0.102504
disk	0.0943419
videotape	0.0934913
LPs	0.0917725
"cassette player"	0.0901046
"floppy disk"	0.0895135
"sheet music"	0.0848282
audio	0.0836479
VCD	0.0804731
"tape player"	0.0762507
"tape recording"	0.0758576
booklet	0.0751607
CD-R	0.0730228
"trading card"	0.0727873
"greeting card"	0.0716126
"video game"	0.0706298
snippet	0.0705185
workbook	0.0696693
"cassette recorder"	0.069575
diskette	0.0688816
"computer equipment"	0.0678298
"audio CD"	0.0663482
"computer file"	0.0650412
postcard	0.0635644
periodical	0.0618549
transcript	0.0596745
DVD	0.0592665
"sheet of paper"	0.0586799
pamphlet	0.0578431
cartridge	0.0568352
playback	0.0563185
VCR	0.0562531
memorabilia	0.0559386
brochure	0.0558713
demo	0.0551371
"CD player"	0.0546922
"home movie"	0.0546768
SAMPLER	0.0545343
"board game"	0.0541668
"written material"	0.0534726
compilation	0.0530305
memento	0.0529386
"membership card"	0.052937
"Good Book"	0.0527713
"newspaper clipping"	0.0519341
remixes	0.0514997
"musical instrument"	0.0514605
"sports equipment"	0.0501888
"personal letter"	0.0493503
"production equipment"	0.0489787
"newspaper article"	0.0487284
"laser printer"	0.0487203
"microwave oven"	0.0485874
DAT	0.04845
"sound recording"	0.0481907
"life vest"	0.0480739
"weather map"	0.0477905
playlists	0.047788
"baseball card"	0.0477374
transcription	0.0477133
turntable	0.0475673
"computer game"	0.0470846
webcams	0.0470624
spreadsheet	0.0470201
sticker	0.0469937
DVD-ROM	0.0468875
manuscript	0.0467587
newsreel	0.0464298
"film clip"	0.0457343
"electronic equipment"	0.0455446
"comic book"	0.0455025
"coloring book"	0.045321
paraphernalia	0.0452509
"tv set"	0.0451186
"TV program"	0.0448674
"nearly @@@ million yuan"	0.0445326
stationery	0.0445117
"fortune cookie"	0.0443409
recorder	0.0441961
LP	0.0441737
Anthology	0.0438065
"cigarette lighter"	0.0435987
monograph	0.0433208
stereo	0.0432818
"wrapping paper"	0.0431623
"television program"	0.0429862
"historical document"	0.0429129
"literary work"	0.0428202
"application form"	0.042202
"software product"	0.0421862
Walkman	0.0421162
"hard disk"	0.0415219
capacitor	0.0414399
ream	0.0414021
souvenir	0.0413959
"piece of paper"	0.0410817
"alcoholic beverage"	0.0409253
remix	0.0408938
"tax form"	0.0407249
"video equipment"	0.0406956
shredders	0.0406502
"postage stamp"	0.0404601
notepad	0.040243
"over @@@ tons"	0.0402263
stapler	0.040107
brooch	0.0400364
))
(Cassidy (desc 3206.85) (sims
Ikeda	0.0917792
Kern	0.0906952
Berenson	0.0900061
Garvey	0.0867374
Donohue	0.0858369
Stoneman	0.0845409
Indyk	0.080959
Farber	0.0809415
Molinari	0.0805659
Brundtland	0.0803268
DeFrantz	0.0800928
Fiorina	0.0793945
LaPierre	0.0792606
Petersen	0.0781574
Scharping	0.0772017
Imperatori	0.0765704
Briscoe	0.0765131
Kirkpatrick	0.0762976
Hanna	0.0760629
Gannon	0.0759259
Guerin	0.0756626
Narayanan	0.0749338
Shriver	0.0739502
Beazley	0.0738003
Dowd	0.0735635
Fordice	0.0734445
Rifkind	0.0733715
Cline	0.07335
Tran	0.0731975
Falater	0.0731203
Barshefsky	0.0729041
Bellamy	0.0727739
Stayner	0.0727388
Vollebaek	0.0722247
Henning	0.071889
Kazhegeldin	0.0716002
Newhouse	0.070984
Karimov	0.0708579
Padilla	0.0708463
Sheedy	0.070821
silber	0.0698041
Constantinescu	0.0697185
Wiggins	0.0695817
Skiles	0.0695698
Byrdsong	0.0694819
Beasley	0.0694104
Rossi	0.0693638
Rivlin	0.0693387
bock	0.0691176
Mucha	0.0691174
Luong	0.0690756
Benedetti	0.0690071
Valenzuela	0.0688336
Rubinstein	0.0686992
Daley	0.0685958
Hartman	0.0685114
Garza	0.0684824
Pirro	0.0684231
Jeffers	0.0683867
Peters	0.06816
Hensley	0.068107
Hinckley	0.067987
Kurth	0.0679788
Shahak	0.0679714
Reimer	0.0679328
Velayati	0.0677498
Piot	0.0677389
Brazile	0.0674353
Shevardnadze	0.0674334
Ogata	0.0674245
Grunwald	0.0673802
Hecht	0.0672528
Sergeyev	0.067189
Schiff	0.0670986
Northup	0.0670923
O'Hara	0.0670877
Knapp	0.0670422
Shipley	0.0669121
Falco	0.0666785
Batouty	0.0666781
Komura	0.0663139
McDonnell	0.0660715
"de Charette"	0.0658822
Zambrano	0.0658418
Hickman	0.0657606
Schwartz	0.0655827
Neville	0.0655745
Betts	0.0655007
Nazarbayev	0.0653224
Woodard	0.065322
fuller	0.0652806
Ackerman	0.0652615
Moscoso	0.0649623
Moratinos	0.0649449
Goldin	0.0649347
Lowry	0.0649241
Kharrazi	0.0648789
singleton	0.0648261
Zuckerman	0.0648072
O'Sullivan	0.0646929
Lombardi	0.0646876
Hartsburg	0.0643256
Marquez	0.0642139
Slatkin	0.0641142
Greenwald	0.0640398
Schneider	0.0640189
Heinrichs	0.0639107
Diouf	0.0638406
Pfeiffer	0.063727
Masire	0.0636965
Pickering	0.0635718
Lipponen	0.0635616
Hamlin	0.0635529
Harmoko	0.0634177
Meissner	0.0633592
Vogts	0.063355
Okada	0.0632852
Masur	0.0631303
krueger	0.0630803
Karr	0.0628654
Morley	0.0627777
Jensen	0.0627567
Stahl	0.0627371
Gaddafi	0.0627267
Lindbergh	0.0625683
Beltran	0.0624583
Markovic	0.062378
Lundberg	0.0623757
Hitchens	0.0623516
Arbour	0.062261
Waltrip	0.0621629
Koo	0.0620717
Soliah	0.062016
Stevenson	0.0619007
Martz	0.0618848
Milutinovic	0.061839
D'Alema	0.0618318
Tian	0.0618232
Brisby	0.0617948
Keenan	0.0615925
Yoon	0.0615864
McCartney	0.0615733
Harrick	0.0615034
Paxon	0.0614865
Rosenblatt	0.0614859
Layden	0.0614051
Rosenthal	0.061204
Summitt	0.0611885
Kwasniewski	0.0611038
Rendell	0.061096
Janssen	0.061083
Lowery	0.0610385
Dion	0.061031
Chaney	0.061029
Seymour	0.0608626
Fiedler	0.0608604
Ecevit	0.0608225
Hagen	0.0606951
Brahimi	0.0606074
Ftorek	0.0604792
Monson	0.0603219
Ivey	0.06018
Finkel	0.0601301
Schott	0.0600915
Musharraf	0.0600768
Safir	0.0600396
Barad	0.0600012
Farrakhan	0.0599991
BURNHAM	0.059973
Eaton	0.0598822
Pape	0.0598473
Manuel	0.0598195
"King Abdullah II"	0.0597952
Suarez	0.0597526
Mikhailov	0.0597191
Laudrup	0.0597138
Ono	0.0596874
Quintero	0.0596858
Surin	0.0596804
Ben-Ami	0.0596383
Taft	0.0596256
Sheehy	0.0596173
LeFave	0.0596167
Jauron	0.0595263
Fahey	0.0592995
Khalil	0.0592121
Goff	0.0592102
Eizenstat	0.0591657
Ferguson	0.0591177
Soares	0.0590606
Liston	0.0590065
Dunleavy	0.0589607
Garofalo	0.0589164
Merritt	0.0589051
Kirby	0.0588975
Azad	0.0588701
Tilberis	0.05887
Sorensen	0.0588258
Nakamura	0.0587921
Vogel	0.0587884
))
(Cassie (desc 2196.68) (sims
Cobain	0.0841495
Puzo	0.0823927
Blackmun	0.0803454
Guerin	0.0796139
Fassett	0.0774751
Samantha	0.0761121
Evan	0.0759023
Kerouac	0.0758819
Roberta	0.075765
JonBenet	0.0756456
Harr	0.0749756
Tierney	0.0747749
Lydia	0.0739136
Junger	0.0738594
Yoon	0.0736316
Cory	0.0733901
Baez	0.0728782
Biko	0.0728721
Dandridge	0.0717055
krueger	0.0714951
ture	0.0708255
Brazill	0.0705991
"John Kennedy Jr."	0.0700798
Marchand	0.0692035
Panchen	0.0685127
Nkabinde	0.0682831
Hellman	0.0681787
Bonner	0.0681201
Soares	0.0677719
Hawn	0.0677354
"Leigh Ann"	0.0676665
Yarmila	0.067383
Ricart	0.0670427
Winchell	0.0668254
Stahl	0.066571
Wilkerson	0.0665184
Webdale	0.0663316
Susann	0.0659018
Klemperer	0.0656838
Shoate	0.0652428
Timmy	0.0650971
Siskel	0.0648799
Tilberis	0.0648473
Northup	0.0635836
Polly	0.0628772
Plath	0.0626712
Holzman	0.0619124
Padilla	0.0618643
Nugent	0.0615436
Corey	0.0614143
Faison	0.0613358
Costin	0.06131
Shepard	0.0612924
Stephanie	0.0612383
Audrey	0.0612106
Gaither	0.0609162
Hajdari	0.0606521
Jenny	0.0606365
Goldwater	0.0606202
Binion	0.0604455
Norberg	0.0603864
McAuliffe	0.0602099
Matthew	0.0601812
Edelstein	0.0601608
Tevanian	0.0601309
Christy	0.0598856
Katie	0.0596068
Pamela	0.0594702
Whitfield	0.059324
Terrell	0.0590986
McKenna	0.0588308
Tuinei	0.058794
Edwin	0.0587585
Bedell	0.0586914
Saint-Exupery	0.0586398
Whitehead	0.0585219
Gwen	0.0584376
Kurtz	0.0579841
anna	0.0574872
Karr	0.0574339
ISABEL	0.0570638
Dorothy	0.0569907
Kehoe	0.0568418
Gathers	0.056668
Perrot	0.0566336
Stayner	0.0566132
Sarah	0.0562995
Durwood	0.0557483
Mehmet	0.0556824
Lawler	0.0555542
Mahoney	0.0555379
Puente	0.0553935
"Michael Kennedy"	0.0553374
RFK	0.0553353
Edson	0.0550831
Phills	0.0548105
Autry	0.0546697
Wasserstein	0.0545147
Moxley	0.0544176
Cline	0.054378
Celestine	0.0540918
Brandon	0.0536488
Hine	0.0536054
Castaneda	0.0534453
Lollar	0.053215
Youk	0.0531851
Glaber	0.0531729
Lacresha	0.053093
Eggers	0.0530435
Caroline	0.0528726
Trudeau	0.0528418
Alexie	0.0526516
Helen	0.052586
Starovoitova	0.0523207
Nietzsche	0.0523194
Palczynski	0.0522307
Mitterrand	0.0521874
McLaughlin	0.0515886
Stevenson	0.0515826
Brandi	0.0515008
Vivian	0.0513211
Vogel	0.0512925
Sheehy	0.0512535
Hannah	0.0512353
Falater	0.0511458
Selena	0.0509452
Menuhin	0.0508702
Peyton	0.0505818
Weil	0.0504502
beamer	0.0504382
MCGEE	0.0502805
Sally	0.0502059
Leto	0.0500895
Rowe	0.0500554
Paulina	0.0499604
Presley	0.0497829
Callie	0.0497094
Myhrvold	0.0497046
Shayler	0.0496489
Natalie	0.049527
Jill	0.0494565
Bain	0.0494502
Sheridan	0.0493789
Dorismond	0.0493638
Capano	0.0493004
Ileto	0.0492922
Farah	0.0492317
"Ford Escort"	0.0492194
Orwell	0.0491967
"Matthew Eappen"	0.0491632
Herron	0.0491239
Lamberth	0.0491127
SJC	0.0491042
Shurmur	0.0490894
Monique	0.0488889
Eszterhas	0.0487494
Laura	0.0486415
Cianci	0.0485879
Galindo	0.0485428
Trollope	0.048488
Colin	0.0483992
William	0.0483392
Steinbeck	0.0482495
Postel	0.0482414
Rankin	0.0480687
Sara	0.0479477
Juli	0.0478232
"Griffith Joyner"	0.047819
Paxton	0.0476844
"JFK Jr."	0.047562
Trevor	0.0475227
Frick	0.0473532
"police dog"	0.0473226
Ntakirutimana	0.0472771
Sadie	0.0472723
Vidal	0.0472464
Lindsay	0.0472335
Lowery	0.0472146
Dyer	0.0471689
Mona	0.0471059
Maggie	0.0470996
Dixon	0.0470402
Yandarbiyev	0.0469894
Azizan	0.0469526
Sebastian	0.0468976
Maher	0.0468794
Gerardi	0.0468675
ex-girlfriend	0.0468524
McMurtry	0.0468517
Sharpe	0.0467853
Shannon	0.0467399
millon	0.0467346
"Caroline Kennedy"	0.0464041
Tim	0.0463766
Sylvia	0.0463228
Kurth	0.0463169
Kurosawa	0.0462768
Sahadi	0.0460102
Mease	0.0460096
Taubman	0.0459832
))
(Cassini (desc 1628.07) (sims
"Lunar Prospector"	0.235077
Galileo	0.200529
Stardust	0.177604
"Mars Global Surveyor"	0.155864
"Polar Lander"	0.150335
"Mars Polar Lander"	0.135488
Voyager	0.118918
"Delta @"	0.110114
PATHFINDER	0.108473
X-@@	0.099971
Lander	0.0984791
GEMINI	0.0907134
Chandra	0.0864245
Orbiter	0.0844797
Sputnik	0.0822187
Sahnoun	0.0762347
"deep space"	0.0759597
Moratinos	0.0757088
"American plane"	0.0743232
prospector	0.0715073
Azad	0.0681103
Magellan	0.0669907
spacecraft	0.0665972
Pustovoitenko	0.0663222
Granic	0.0617251
"Airbus @@@"	0.0617032
Stoyanov	0.0616587
"de Charette"	0.0608146
Hoke	0.0603314
"Flight @@@@"	0.0594969
Luong	0.0581781
surveyor	0.057845
Komura	0.0576665
Vinci	0.0575928
al-Hariri	0.0567656
Muluzi	0.0566919
Constantinescu	0.0562192
fact-finding	0.0561518
Brahimi	0.0553155
Ben-Ami	0.0550975
Ulysses	0.0550908
"Abidine Ben Ali"	0.0545978
BNFL	0.0543766
"Hubble Space Telescope"	0.0543603
TDC	0.0539604
Ronstadt	0.0537602
Compton	0.0535651
"Los Angeles City Council"	0.0534852
ZDTV	0.052433
Atlantis	0.0523866
"Mars Climate Orbiter"	0.0521936
Vasile	0.0517343
"Cessna @@@"	0.0515756
Baz	0.0510067
NATO-led	0.050977
Juncker	0.0506711
"De Soto"	0.0501063
Concordes	0.0493569
"Secretary General Esmat Abdul-Meguid"	0.0493322
Hubble	0.0485908
Bondevik	0.048582
endeavour	0.048204
Meguid	0.0477791
Shareh	0.0474605
Jayakumar	0.0471561
Portnoy	0.0470051
"National Aeronautics and Space Administration"	0.0467295
"European Space Agency"	0.0461205
"hush money"	0.0461115
Karimov	0.0459631
"Science City"	0.0458633
Lipponen	0.0457341
Arens	0.0456004
Bedie	0.0454952
Sponeck	0.0454427
"meteorological satellite"	0.044495
Tomahawk	0.0440837
turboprop	0.0439322
"Royal Caribbean"	0.0438736
Brundtland	0.0438657
Surin	0.0438639
Wolfensohn	0.0438094
ATC	0.0437814
Kok	0.0437131
Ahtisaari	0.0435909
Buhe	0.0434553
Kalejs	0.0429277
IAI	0.0427437
Imperatori	0.042719
CMAG	0.0426861
Sampaio	0.0426501
Sanguinetti	0.0425117
NIH	0.0424682
Khaddam	0.0424328
Rifkind	0.0423613
A@XX	0.042146
Loral	0.0419551
Rodionov	0.0416903
OAS	0.0416575
airship	0.0415072
Aristotle	0.0414691
Mobutu	0.0414332
osprey	0.0410992
"Economic Commission for Latin America"	0.0410698
Hariri	0.0408599
leeson	0.0408136
CCF	0.0406204
Muoi	0.0405591
Akinwande	0.040266
Boueiz	0.0402
FTA	0.0400667
Ruehe	0.0400537
glider	0.0400526
))
(cast (desc 81657.9) (sims
ensemble	0.107734
actor	0.0952026
performer	0.0811534
band	0.0797471
character	0.0795101
audience	0.0780019
troupe	0.0762224
star	0.0728959
roster	0.0720357
casting	0.0705448
performance	0.0700985
actress	0.0698593
lineup	0.069626
crew	0.0693603
trio	0.0690826
costume	0.0677504
talent	0.0663049
orchestra	0.0657376
"cast of characters"	0.0652994
episode	0.0651313
dancer	0.064966
film	0.0642874
script	0.0638923
image	0.0638813
team	0.0628967
musician	0.062015
brace	0.0616637
personality	0.0615008
movie	0.0614135
collection	0.0610838
"special effect"	0.0595607
picture	0.0593958
crowd	0.0590908
group	0.0590447
sequence	0.0590247
scene	0.0584243
staff	0.058241
mix	0.0580316
creator	0.0579363
voice	0.057857
music	0.0574309
chorus	0.0567553
producer	0.0565268
drama	0.0564513
family	0.0564294
production	0.0561736
portrait	0.0561278
array	0.0559802
style	0.055816
bunch	0.0554272
fan	0.0546398
bandage	0.05449
comedy	0.0544134
musical	0.0542887
singer	0.0541287
player	0.0540018
charm	0.053929
corps	0.0528513
setting	0.0526915
theme	0.0525455
version	0.0524964
quartet	0.0523222
artist	0.0521649
role	0.052133
story	0.0520931
piece	0.0520368
Screenplay	0.051808
sound	0.0513687
stuff	0.0510562
lot	0.0509094
kid	0.0508769
Song	0.0506656
class	0.0506389
Outfit	0.0504176
color	0.0503701
plot	0.0502736
guy	0.0502343
squad	0.0501035
writer	0.0500284
gang	0.0500031
pair	0.0494993
tale	0.049463
composer	0.0494065
revival	0.0493679
humor	0.0493262
element	0.0492739
tone	0.0491979
list	0.0491382
soundtrack	0.0489323
pedigree	0.0485293
child	0.048519
choir	0.0485099
rotation	0.0484967
photograph	0.0481978
staging	0.0481452
woman	0.0480369
kind	0.0480362
handful	0.0480017
parade	0.0478677
life	0.047791
pack	0.0477221
ring	0.0476535
athlete	0.0475599
celebrity	0.0474076
choreographer	0.0472953
book	0.047229
adaptation	0.0469867
premiere	0.0468454
co-star	0.0468331
pool	0.046771
theater	0.0467171
figure	0.0466543
viewer	0.0465895
uniform	0.0465783
filmmakers	0.0465118
assortment	0.0464701
couple	0.0464592
generation	0.046041
guest	0.0460148
room	0.0459182
shape	0.045896
sense	0.0458552
author	0.0456431
skill	0.0456424
painting	0.0455895
opera	0.0455055
series	0.0454981
animation	0.0454629
twist	0.0454439
quality	0.045355
dozen	0.0451837
singing	0.0451631
parent	0.0450994
persona	0.0448112
friend	0.0447587
congregation	0.0447437
host	0.0446571
display	0.0446552
participant	0.0446374
gallery	0.0445598
touch	0.0445438
repertory	0.044437
student	0.0443791
"work force"	0.0443183
spirit	0.0443111
girl	0.0442739
sculpture	0.044246
sort	0.044144
object	0.0441204
vision	0.0440987
cadre	0.0440703
sensibility	0.0440349
presence	0.044003
bullpen	0.0439909
ones	0.0439485
wardrobe	0.0438935
debut	0.0438748
teens	0.043811
flavor	0.0437675
writing	0.0436244
variety	0.0434439
Defense	0.0434419
camera	0.0432639
"extended family"	0.0432365
presentation	0.0432059
listener	0.0431415
choreography	0.0431081
clientele	0.043045
foursome	0.0430085
blend	0.042966
structure	0.0429339
art	0.0429303
creature	0.0429211
portrayal	0.0429075
Reader	0.0428552
thing	0.042794
entourage	0.0427268
patron	0.0426592
combination	0.0426429
designer	0.0426264
commercial	0.0426031
novel	0.0425836
background	0.0425642
narrative	0.0424289
volunteer	0.0424163
suit	0.0423254
moment	0.0422948
job	0.042289
cloth	0.0422065
soloist	0.0421562
sketch	0.0421381
model	0.0421054
offense	0.0420983
"young man"	0.0420525
body	0.0420355
voter	0.0420254
community	0.0420108
career	0.0419894
panel	0.0419329
contingent	0.0418648
))
("cast iron" (desc 5437.71) (sims
"stainless steel"	0.178169
"wrought iron"	0.145839
wok	0.125195
marble	0.117514
GRIDDLE	0.114834
aluminum	0.108627
chrome	0.0953772
"terra cotta"	0.0932232
Copper	0.0929435
Deco	0.090083
titanium	0.0892188
pewter	0.0868077
fiberglass	0.0856854
steel	0.0799012
porcelain	0.0796168
four-inch	0.0787346
limestone	0.0764525
plaster	0.0749585
granite	0.0745934
brass	0.0744677
"Dutch oven"	0.0669165
magnesium	0.0642006
Tin	0.063762
"sterling silver"	0.0603987
rusting	0.0598449
"art deco"	0.0591718
acrylic	0.0577962
enamel	0.0575987
"beaux arts"	0.0566095
earthenware	0.0552246
baseboard	0.0550876
mahogany	0.0550206
skillet	0.0548629
kettle	0.0531772
Plexiglas	0.0525106
crock	0.051969
sandstone	0.0514073
"frying pan"	0.0510988
installing	0.0509414
Zinc	0.0491937
radiator	0.0488404
Bauhaus	0.047618
Lucite	0.0474887
Pottery	0.0473137
"Greek Revival"	0.0466556
Fondue	0.0463193
gingerbread	0.0460883
vinyl	0.0458885
wraparound	0.0456609
silicon	0.044643
Lego	0.0440399
roasting	0.0438412
teak	0.0436512
steamer	0.0434615
propane	0.0431135
aluminium	0.0430478
Jacuzzi	0.0426958
crystal	0.0421236
saucepan	0.0420037
rebuilt	0.0414965
"sheet metal"	0.0414127
"Art Nouveau"	0.0413954
"State House"	0.0404737
))
("cast of characters" (desc 4439.2) (sims
"piece of music"	0.0773086
"plot line"	0.0763576
protagonist	0.0710385
"line of products"	0.06907
subplot	0.0665417
Supercenters	0.0639094
assortment	0.0632547
tableau	0.0629459
scenery	0.0624847
repertory	0.0614041
topography	0.0600063
vignette	0.0596163
"floor plan"	0.0593667
denouement	0.0588905
brood	0.0582363
"software package"	0.0581732
oeuvre	0.0578413
paradox	0.0576716
menagerie	0.057432
"labor pool"	0.055837
coterie	0.0557767
repertoire	0.0557539
smorgasbord	0.0557357
heroine	0.0556834
"business line"	0.05531
personae	0.0548117
metropolises	0.0547414
"art collection"	0.0546274
palette	0.0541781
specialities	0.054073
juxtaposition	0.0540649
panoply	0.0534668
"bag of tricks"	0.0534514
"geographical area"	0.0532464
"leading lady"	0.0530152
sensibility	0.0530096
"life form"	0.0528997
supplicant	0.0522877
transnationals	0.0516758
"circulatory system"	0.0512043
"time zone"	0.0505723
"margin call"	0.0504987
conceit	0.0503607
"piece of work"	0.0503272
iconography	0.0502653
"electric current"	0.049948
coda	0.0498561
"rating system"	0.0495615
"fantasy world"	0.0494455
"first half-hour"	0.0490682
milieu	0.048996
"center of gravity"	0.0487844
assemblage	0.0485561
cutthroat	0.0483995
contraption	0.0483741
slickness	0.048191
"set piece"	0.0480405
villain	0.0477626
typeface	0.047693
constellation	0.0476434
Panorama	0.0476151
"atmospheric condition"	0.0474939
"tag line"	0.0474216
narrator	0.0473289
postmark	0.0473012
storyline	0.0470654
"blue whale"	0.0468055
"core group"	0.0468042
mosaic	0.0467542
dynamics	0.0467482
"teaching method"	0.0467085
fauna	0.0465236
playlist	0.0464804
concoction	0.0464629
"camera angle"	0.04641
ecosystem	0.0462297
collage	0.0461939
"strong point"	0.0461793
sidelight	0.0460975
"second unit"	0.0460151
getup	0.0459492
mindset	0.0458694
parameter	0.0457851
hairstyle	0.0457473
imagery	0.0456301
Mullah	0.0454141
escapade	0.0453993
whiner	0.0451788
standouts	0.0451518
"marketing program"	0.0450385
"viewing audience"	0.0449559
imperatives	0.0449183
"political movement"	0.0448743
"oil slick"	0.0447844
mannerism	0.044725
"growing season"	0.044676
"scoring system"	0.0446597
pyrotechnics	0.044617
cityscape	0.0444642
"New Style"	0.0443836
adjective	0.0442817
enigma	0.0442778
Rockettes	0.0442712
edifice	0.044233
"social event"	0.0440706
pairing	0.0440431
"tool kit"	0.0439331
resellers	0.0439192
highflier	0.0439149
quartet	0.0436217
luminary	0.0435146
"solar flare"	0.0434753
anecdote	0.0434511
"tone of voice"	0.0432974
subgenre	0.0432293
stakeholder	0.0431822
bauhinia	0.0431772
pluses	0.0430831
geography	0.0430789
armada	0.0430778
oddity	0.0430708
ambience	0.042916
"cargo area"	0.0429041
"young actress"	0.0427071
"ruling class"	0.0425401
"subject area"	0.0425335
"point system"	0.0423373
subtext	0.0422374
Centerfold	0.0422064
contrivance	0.042198
melange	0.0421772
"subject matter"	0.0421764
"subsidiary company"	0.0420986
"dollar sign"	0.0420787
layout	0.0419059
footnote	0.0418628
cuisine	0.0418216
phenomena	0.0417431
gameplay	0.0416073
colours	0.0412085
"neutron bomb"	0.0411961
livery	0.0410917
clientele	0.0410844
toolbox	0.041043
"state of affairs"	0.0410282
"musical score"	0.0409708
vocabulary	0.0409703
moniker	0.0409383
"facial expression"	0.0409345
conundrum	0.0408688
wrinkle	0.0408665
videophone	0.0408097
mantra	0.0407543
bullfight	0.0407477
antagonist	0.0407358
threesome	0.0407083
"turn of events"	0.0406808
"catalytic converter"	0.0406005
"fictional character"	0.0403712
"electric car"	0.0403428
sidekick	0.0402994
"love story"	0.0402852
tapestry	0.040221
mural	0.0402072
feline	0.040176
))
(Castaneda (desc 1783.06) (sims
Lawler	0.139097
Durwood	0.112397
krueger	0.10757
Ginsberg	0.101218
Faison	0.0910572
Bertelli	0.0884936
Rushdie	0.0882807
Hatfield	0.088184
Jaffe	0.0876554
Binion	0.086648
Ziegler	0.0852674
Hess	0.0847524
Shriver	0.0840311
Onassis	0.0839773
Farnsworth	0.0826977
Webdale	0.0824276
Tuinei	0.0823198
Plath	0.0820906
McPherson	0.0819653
Chappell	0.0816923
Muckler	0.0810149
Cooke	0.0804896
Larson	0.0798369
Cline	0.0795661
Bradshaw	0.0794735
Plunkett	0.0789576
Whaley	0.0784447
Cobain	0.0775353
Soriano	0.0773317
Moxley	0.0773112
Baez	0.0769177
Esposito	0.0768485
Rowling	0.0761813
Neulander	0.0760191
Sund	0.0757169
Lecter	0.0751764
Loeb	0.0751386
Posner	0.0742379
Trevi	0.0741194
Grasso	0.0738662
Mutombo	0.073433
Bellow	0.07317
Greco	0.0721652
Panchen	0.0717195
Hirst	0.071242
Bellush	0.0708823
Schulz	0.0708416
Machel	0.0708042
Kerouac	0.0707478
Horowitz	0.0698373
Marley	0.0698304
Speer	0.069715
Fiorina	0.069389
Qureshi	0.069112
Aquino	0.0690598
Copeland	0.0689097
Markovic	0.0686899
Kraus	0.0681009
Capps	0.0674735
Walser	0.0673472
Boles	0.0672554
Wilkerson	0.0672224
Dudayev	0.0667758
Picard	0.0666093
Gainey	0.0664808
Sommer	0.0663863
Isikoff	0.066365
nance	0.0663243
Kurth	0.0661266
Kopp	0.0660164
Biko	0.0659174
Hersh	0.0659138
Wasserstein	0.0658043
Shurmur	0.0658012
Naipaul	0.0657617
Tilberis	0.0656675
Dahmer	0.0656164
Yarmila	0.0655481
Fahey	0.0654944
Gutman	0.0654943
Nkabinde	0.0653393
Hallinan	0.0652733
Hiett	0.0650985
Paulie	0.0650602
Chenoweth	0.0650395
Nkomo	0.0649354
Quintero	0.0648409
Carlson	0.0646175
Puente	0.0640011
Hefner	0.0636802
Fink	0.063579
Weiner	0.0635397
McNamara	0.0635364
Sobel	0.0635176
Slepian	0.0634919
Dunham	0.0634219
Grimes	0.0633358
Craxi	0.0632515
Harrington	0.0632402
Sykes	0.0631429
Sheppard	0.0631282
Ogilvy	0.0628698
Harding	0.0628415
Gossage	0.0627698
Soares	0.0627615
Shapiro	0.0625622
Quintana	0.0624563
Wetherell	0.0622288
Wagoner	0.0621236
Blackman	0.062122
Cornwell	0.0620821
Lessig	0.06201
Rosenbaum	0.0620098
Broaddrick	0.0618452
Kohn	0.0616982
Allende	0.0614971
Carollo	0.0612994
Muller	0.0612788
Keady	0.061113
Felton	0.0609932
Costin	0.0609432
Kazhegeldin	0.060941
McCoy	0.0607845
Carville	0.060781
Mathews	0.0607673
Cosby	0.0606726
jacoby	0.0606554
noone	0.0605637
Pirro	0.060552
Salinger	0.0605373
Koop	0.060504
Cianci	0.0604788
Hartman	0.060466
Autry	0.0604278
Gritz	0.0603982
Slatkin	0.0603673
O'Hair	0.0602656
Postel	0.0601664
Atkinson	0.0601661
Dunne	0.0601416
"Griffith Joyner"	0.0598478
Garrity	0.0597699
Shepard	0.05971
Rabe	0.0596062
Gorey	0.0595595
Lindbergh	0.0594926
storey	0.0594507
Henson	0.0593056
Noonan	0.0591682
Hani	0.0589342
Escobar	0.0589084
Bono	0.0586507
Pyle	0.0585562
Aris	0.0585268
Ruskin	0.0584767
MacKay	0.0584583
lacy	0.0583487
Freud	0.0583471
Theodore	0.0583174
Pollack	0.0580257
Sihanouk	0.0580014
Presley	0.0578718
Mayer	0.0578103
Margolis	0.0577766
Parks	0.0577237
Sealy	0.0576617
Collymore	0.0576347
Soyinka	0.0574693
Bessie	0.0574283
Burroughs	0.0572964
Lurie	0.0572839
Gachet	0.0572702
Silverman	0.0572438
Yoon	0.0571919
Jensen	0.0571242
Puzo	0.0569652
McNeil	0.0569583
Safir	0.0568889
Menuhin	0.0567715
Hagel	0.0567291
Marulanda	0.056671
Muir	0.0566409
Ballard	0.0565376
Manley	0.0564903
Galbraith	0.0564361
Abiola	0.05639
Benton	0.0563623
Humphrey	0.0562968
Barton	0.0562157
Borodin	0.0561358
Tierney	0.0561008
McKenzie	0.0560472
Butterworth	0.0560439
Ashrawi	0.0559954
Harr	0.0559697
Hine	0.0559376
Drummond	0.0559207
Nasser	0.0558554
Bergeron	0.055642
Howell	0.0554611
))
(castaway (desc 4544.2) (sims
contestant	0.0962268
"shipwreck survivor"	0.08527
"Richard Hatch"	0.0671441
doer	0.0628252
housemates	0.0622856
inductees	0.0608843
"Australian Mark Philippoussis"	0.0589301
Irishmen	0.0584168
Frenchmen	0.0574763
"major-league team"	0.0573979
congregants	0.0559905
"All-Star Games"	0.0559247
schemer	0.0557081
Slav	0.0555477
stowaway	0.0552665
nonwhites	0.055066
"little leaguer"	0.0549349
Londoner	0.0545869
crewmembers	0.054049
Englishmen	0.0540029
upperclassmen	0.0535007
multimillionaires	0.0534727
All-Americans	0.0530349
parachutist	0.0529365
dieters	0.052548
panelist	0.0525179
first-grader	0.0523724
pug	0.0518586
starts.	0.0518291
"major league season"	0.0516367
phenoms	0.0515989
tribesman	0.050971
Klansmen	0.0508018
camper	0.0504163
"British Opens"	0.0500921
migrant	0.049731
"American Chanda Rubin"	0.0495771
honoree	0.0495571
All-stars	0.0491316
great-grandchildren	0.0490052
"base runner"	0.0488046
yea	0.0486161
signer	0.0485429
crewmates	0.0484878
"two pitchers"	0.0481358
castoffs	0.0480028
Missourian	0.0478515
Minnesotan	0.0477367
minor-leaguers	0.0475711
Mormon	0.0472406
wideouts	0.0472368
guardsmen	0.0468017
malcontent	0.0467583
captive	0.046467
playmate	0.0460638
"church member"	0.0459443
mushers	0.045712
QBs	0.0452042
egghead	0.0450962
years.	0.0450499
housemate	0.045001
"mountain gorilla"	0.0449695
"supporting players"	0.0446258
seminarian	0.0442845
wannabe	0.0442509
schoolmate	0.0441532
co-leaders	0.0439725
"major leaguer"	0.0437906
mare	0.0437277
misfit	0.0436625
thespian	0.0436492
"two schools"	0.0431141
"American Todd Martin"	0.0430786
semifinalist	0.0430233
"target practice"	0.0429222
kindergartners	0.0428464
weightlifter	0.0426977
Kansan	0.0426634
distiller	0.0423558
presenter	0.0422855
billionaires	0.0421888
chaser	0.0421876
defector	0.0420938
Brit	0.041878
"Greek Cypriots"	0.0418733
mutineer	0.0417234
"TV reporter"	0.0416583
"foster child"	0.0415444
Jesuit	0.0415018
twentysomethings	0.0414269
overachiever	0.0413764
Mississippian	0.0413225
ECN	0.0412849
climber	0.0412837
frontrunners	0.0412733
freshmen	0.0411506
"World Cups"	0.0410313
slacker	0.0408046
Tintin	0.0407654
knucklehead	0.0407641
spikers	0.0407452
pup	0.0407071
baserunners	0.040401
Condor	0.0403004
"jazz musician"	0.0402985
"three pitchers"	0.0401459
triathletes	0.0401382
ECNs	0.0401338
Dutchmen	0.0401267
Honduran	0.0400837
"musical group"	0.0400374
Aborigine	0.0400313
has-been	0.0400283
))
(caste (desc 8081.69) (sims
"social class"	0.0908542
clan	0.0857418
strata	0.0791024
ethnicity	0.0765373
Sikh	0.076235
"ethnic group"	0.0704821
Hausa	0.0665645
gender	0.0654217
nationality	0.0628975
Hindu	0.0627474
"social group"	0.0617234
"social status"	0.0600598
creed	0.0599324
tribe	0.0593148
"middle class"	0.059012
"income bracket"	0.0585575
"Israeli Arab"	0.0578194
sect	0.0577139
"skin color"	0.0574341
"lower class"	0.0568973
octave	0.0534381
Sinhala	0.0532165
subclan	0.0518482
genus	0.0515042
"walk of life"	0.0514941
"Kosovar Albanian"	0.0500796
"Islamic Jihad"	0.0500634
"Congress Party"	0.0499607
rung	0.0494993
"Bharatiya Janata Party"	0.0487622
Yoruba	0.0486645
Copt	0.0483995
"Bosnian Croat"	0.0476903
"Islamic Movement"	0.0471665
Sunni	0.0470913
"tit for tat"	0.0464518
Croat	0.0461813
aristocracy	0.0450291
stratum	0.0447857
"working class"	0.044701
"age group"	0.0444347
gangland	0.0442067
clique	0.0437954
Kurdish	0.0437871
Klan	0.0432784
"Sunni Muslims"	0.0432143
Echelon	0.0429
"Colorado Party"	0.0427021
"Catholic Church"	0.0426268
"marital status"	0.0424207
Amal	0.0423501
"Northern Irish"	0.0423193
"Likud Party"	0.0421364
"Ethnic Albanian"	0.0420424
triad	0.0419251
SDS	0.0419
"nearly @@ million"	0.0418437
proletariat	0.0417265
low-income	0.0417164
"paramilitary organization"	0.0417027
Israeli-Arab	0.0415424
"upper class"	0.0412082
"Ku Klux Klan"	0.0409533
"Coptic Christians"	0.0407808
landowner	0.0406103
"Street Crime Unit"	0.0405412
Hutu	0.0404431
ideology	0.0404428
"National Front"	0.040398
pro-British	0.0402626
denomination	0.0400775
Lakas-NUCD	0.0400422
))
("caste system" (desc 1328.9) (sims
"pecking order"	0.0819041
unreality	0.0638369
nonentity	0.058157
"geographical area"	0.0570001
"social structure"	0.0569367
polarization	0.0555796
recluse	0.055049
"police state"	0.0549162
protectorate	0.0544078
"wage scale"	0.054108
expansionism	0.0537633
"gambling casino"	0.0533
"point system"	0.0529779
"social group"	0.0529169
Catch-@@	0.0527245
relativism	0.0510299
"dividing line"	0.0505773
serfdom	0.0498966
"Atomic Energy Commission"	0.0495766
"line of products"	0.0494239
"business cycle"	0.049404
isolationism	0.0490145
theocracy	0.0477394
"private corporation"	0.0476952
iconography	0.0475221
"trading post"	0.0474589
"written language"	0.0473719
slasher	0.0471435
fief	0.046896
"school of thought"	0.0466987
"American Pie"	0.0465052
makeovers	0.0462006
"National Gambling Impact Study Commission"	0.0455591
"utility program"	0.0455161
"sphere of influence"	0.0453709
android	0.0453669
subculture	0.045157
"family unit"	0.0450319
"steam locomotive"	0.0449783
"Wild Man"	0.0446631
lovefest	0.0445497
"quota system"	0.04446
"computer language"	0.0442488
"Viswanathan Anand"	0.0441631
presumption	0.0440057
fiefdom	0.0439572
sobriquet	0.0436998
"ghost town"	0.0431332
"power structure"	0.042989
"international criminal court"	0.0429567
"Fourth Amendment"	0.0427853
"ruling class"	0.042709
one-point	0.042599
"planning commission"	0.0425166
updraft	0.0421745
"guessing game"	0.042155
baby-boomers	0.0420469
moralism	0.041999
craftspeople	0.0419344
"piece of cloth"	0.0418261
"fantasy world"	0.041826
liberalism	0.0417117
indignity	0.041651
valedictorian	0.0416062
"Lunar New Year"	0.0415937
"shareholder value"	0.0415781
Jawbreaker	0.0415748
"fault line"	0.0410515
anticlimax	0.0409416
"jazz band"	0.0408324
"penal code"	0.0407924
worldview	0.0405339
"debt market"	0.0404506
freefall	0.0403324
Summitt	0.040301
postmortem	0.0402498
"hunting ground"	0.0402385
left-winger	0.040225
Truism	0.0400728
Braugher	0.040017
))
(caster (desc 933.921) (sims
"light brown"	0.0770174
polypropylene	0.0638363
"wind power"	0.0530907
"catalytic converter"	0.0519281
"ventilation system"	0.0507774
"cargo area"	0.0478245
"physical education"	0.0467709
webcams	0.0467147
"about @ tablespoons"	0.0461665
Benecol	0.0460465
"alarm system"	0.0460283
sixth-graders	0.0454898
"lounge chair"	0.0448947
"quarter horse"	0.0443975
girder	0.043669
"telephone set"	0.0431024
sacs	0.0429283
raconteur	0.0429239
"two units"	0.04217
potty	0.0418078
"office furniture"	0.041605
"ballroom dancing"	0.0415544
"data file"	0.041292
clarinetist	0.0412237
mag	0.0409793
Borden	0.0406317
"weather station"	0.0403884
"pipe organ"	0.0403022
"hundred thousand"	0.0402338
))
(Castilla (desc 2248.2) (sims
Rolen	0.21489
Lankford	0.205714
McGriff	0.204142
Cirillo	0.18713
Glaus	0.185922
Dunston	0.177656
"Fred McGriff"	0.17448
Fullmer	0.172841
Abreu	0.17133
"Troy Glaus"	0.171042
Zeile	0.16851
grieve	0.166292
Sexson	0.16518
Giambi	0.164638
"Dmitri Young"	0.16291
"Dave Martinez"	0.161392
"Vinny Castilla"	0.160949
Elster	0.160215
Burnitz	0.159828
"Mark Loretta"	0.158982
Aurilia	0.158907
Vidro	0.157185
Lieberthal	0.153181
Gant	0.151706
Caminiti	0.15133
"Kevin Young"	0.149564
Thome	0.149456
Leyritz	0.149041
"Dean Palmer"	0.148585
Palmeiro	0.147387
"Derrek Lee"	0.147176
"John Valentin"	0.147095
Valentin	0.14587
"Matt Franco"	0.144383
Olerud	0.143926
Ripken	0.143759
"Preston Wilson"	0.142986
"Russ Davis"	0.142692
Garciaparra	0.142337
Alicea	0.142277
Nevin	0.1421
"John Vander Wal"	0.142076
"Jose Vidro"	0.142056
"Todd Pratt"	0.14071
Hatteberg	0.139635
"Ken Caminiti"	0.139165
"Carlos Lee"	0.138742
Brosius	0.138615
Higginson	0.138121
"Neifi Perez"	0.136243
Cordero	0.135139
Helton	0.134672
"Miguel Cairo"	0.134367
Erstad	0.134249
"Eric Karros"	0.134166
"Adam Kennedy"	0.134117
Canseco	0.133959
Baerga	0.133579
"Joe Randa"	0.133336
"Jose Canseco"	0.132388
"Ben Grieve"	0.132356
"Ron Gant"	0.131958
"Jeff Conine"	0.131949
Karros	0.131891
"Bobby Higginson"	0.131191
Alfonzo	0.130743
Baines	0.129213
"Greg Vaughn"	0.128922
"Marvin Benard"	0.128536
Agbayani	0.128259
Alou	0.128041
"Glenallen Hill"	0.127968
"Scott Brosius"	0.127751
Bordick	0.127552
Alomar	0.127105
Beltran	0.126769
"Alex Gonzalez"	0.126497
"Bobby Abreu"	0.126456
Surhoff	0.126448
"Jason Giambi"	0.126352
"Tony Batista"	0.126015
"Carlos Delgado"	0.126009
"Matt Stairs"	0.125969
Klesko	0.12576
Fryman	0.125684
"Tim Salmon"	0.125493
"Rico Brogna"	0.124683
"Matt Lawton"	0.12461
"Herbert Perry"	0.124365
Bagwell	0.1241
Burks	0.124019
Batista	0.123582
DiSarcina	0.123293
"Rondell White"	0.123279
Ordonez	0.123136
"Scott Rolen"	0.122324
Varitek	0.122027
"Vladimir Guerrero"	0.121921
"Craig Biggio"	0.121213
"Rafael Palmeiro"	0.121139
"Jim Thome"	0.121001
"Jeffrey Hammonds"	0.120922
"Eric Owens"	0.120755
"Todd Helton"	0.120275
"Jermaine Dye"	0.120258
Ledee	0.12016
"Chipper Jones"	0.1201
Cedeno	0.120027
Delgado	0.119456
Veras	0.119418
"Harold Baines"	0.119389
"Adrian Beltre"	0.119381
"Tim Bogar"	0.119273
Bergeron	0.119149
Vizquel	0.119112
"Mark Kotsay"	0.119032
"Geoff Jenkins"	0.118993
Beltre	0.118982
"Ron Coomer"	0.118826
"Damian Miller"	0.118313
Guillen	0.118251
"Dante Bichette"	0.118048
"Deivi Cruz"	0.117667
Galarraga	0.117496
Bichette	0.11739
Grudzielanek	0.117192
Kapler	0.116982
"Phil Nevin"	0.11664
"Paul Konerko"	0.116341
"Benny Agbayani"	0.116272
"Eddie Taubensee"	0.115544
"Scott Spiezio"	0.115136
Hidalgo	0.115092
"Tony Clark"	0.114989
"Chris Widger"	0.114943
"Brian Giles"	0.114807
"Bill Mueller"	0.114643
Bragg	0.114314
"Mickey Morandini"	0.114182
"Mike Sweeney"	0.113765
Brogna	0.113347
"Bobby Smith"	0.113306
"Walt Weiss"	0.112688
"Ray Lankford"	0.112469
Tejada	0.112219
"Mike Lamb"	0.111885
Posada	0.111805
"Richard Hidalgo"	0.111769
"Jay Buhner"	0.111747
"Javy Lopez"	0.111685
Biggio	0.111605
Renteria	0.111599
"Darin Erstad"	0.111558
Hollins	0.111541
"Travis Fryman"	0.111531
Konerko	0.111476
Womack	0.111434
Daubach	0.11129
"Todd Zeile"	0.111222
"Brian McRae"	0.111218
"Tino Martinez"	0.111114
Sprague	0.111035
"Robin Ventura"	0.110082
"Warren Morris"	0.109527
"Raul Ibanez"	0.10909
"Jim Edmonds"	0.10897
"Will Clark"	0.108933
DeShields	0.108911
Cabrera	0.108693
Edmonds	0.10867
"Luis Polonia"	0.108516
Segui	0.108374
"Mike Lieberthal"	0.107994
Mondesi	0.107851
Ramirez	0.10783
"Steve Finley"	0.107813
Bautista	0.107763
"Mike Stanley"	0.107525
"Charles Johnson"	0.107516
"Ryan Klesko"	0.107226
"Gerald Williams"	0.107082
"Bill Spiers"	0.106965
"Bengie Molina"	0.106807
"David Bell"	0.106764
"Ray Durham"	0.106688
Bonilla	0.106656
"Tony Eusebio"	0.106641
"Mike Lansing"	0.106467
"Tom Goodwin"	0.106446
"Cal Ripken"	0.106416
"J.T Snow"	0.106359
Randa	0.106238
"Mark Grace"	0.105929
"Damian Jackson"	0.105839
"Marquis Grissom"	0.10569
Gwynn	0.105232
"Royce Clayton"	0.105189
"Edgardo Alfonzo"	0.105089
"Bruce Aven"	0.104883
"Brady Anderson"	0.104795
"Joe Girardi"	0.104773
"Nomar Garciaparra"	0.104441
"Chad Curtis"	0.104244
"John Olerud"	0.104242
Trammell	0.104234
"Jason Varitek"	0.104176
Lofton	0.104112
"Shannon Stewart"	0.103984
"Bubba Trammell"	0.103893
"Pat Burrell"	0.103611
"Shawn Green"	0.103573
Tatis	0.103404
Cummings	0.103258
"Doug Glanville"	0.103213
"Matt Luke"	0.102633
"Mike Bordick"	0.102628
"Lee Stevens"	0.102513
Molina	0.102214
"Corey Koskie"	0.102195
"Quinton McCracken"	0.102189
"Jeff Cirillo"	0.102012
Sojo	0.101902
Catalanotto	0.10186
"Trot Nixon"	0.101773
"Mike Lowell"	0.101532
Larkin	0.101478
"Jose Hernandez"	0.101374
"Dave Hansen"	0.101218
Mabry	0.101003
"Barry Bonds"	0.10093
McLemore	0.100676
"Pat Meares"	0.100647
"Cliff Floyd"	0.100545
Tucker	0.100417
Velarde	0.100349
"David Ortiz"	0.100256
"Jason Kendall"	0.100171
"Enrique Wilson"	0.100137
))
(Castillo (desc 4914.28) (sims
Nagy	0.123537
Woodard	0.114599
Dempster	0.114059
Ankiel	0.113634
Mlicki	0.10739
Radke	0.105575
Alicea	0.103912
Guzman	0.10261
Velarde	0.102158
Astacio	0.100736
Knoblauch	0.100666
Dreifort	0.100211
Catalanotto	0.0994492
Lofton	0.0992135
Daal	0.099121
singleton	0.0987044
Cabrera	0.0983745
D'Amico	0.0983569
Burkett	0.0981818
Beltre	0.0977399
Bordick	0.097739
Hatteberg	0.0977207
Harnisch	0.0976247
Percival	0.0976222
Gooden	0.0976217
Schoeneweis	0.0976067
Helling	0.0974708
Moyer	0.0971093
"Eric Owens"	0.0969374
Trachsel	0.0965656
"Luis Castillo"	0.0961253
Ortiz	0.095896
Mora	0.0958877
Randa	0.095497
Gutierrez	0.0954803
Frye	0.0953684
Candiotti	0.0951563
Bohanon	0.0951469
Vizquel	0.0950371
"Marvin Benard"	0.0947562
Offerman	0.0944612
Herges	0.0944532
Schourek	0.0943645
Gagne	0.0940557
Tapani	0.0937066
Cirillo	0.0932887
Olivares	0.0923075
Yarnall	0.091798
Hershiser	0.0915583
Bottenfield	0.0913685
Bere	0.0911231
McVeigh	0.0911158
Pettitte	0.0909307
Moehler	0.0907792
Eldred	0.0899164
Millwood	0.0896081
"Jesus Sanchez"	0.0894427
Rueter	0.0892968
Fassero	0.089158
estes	0.0891213
Vidro	0.0887721
Girardi	0.0886962
Furcal	0.0886097
Ordonez	0.0883455
Rusch	0.0877695
Stottlemyre	0.0877382
Mercker	0.0876613
Glaus	0.0873173
Erickson	0.0872598
Grudzielanek	0.0872584
Gardner	0.0869678
"Todd Walker"	0.0869006
Abreu	0.0865119
Abernathy	0.0861812
Smoltz	0.0851871
"Woody Williams"	0.0850992
Ledee	0.0850064
McDOWELL	0.0844508
Hernandez	0.0842019
Cedeno	0.084144
Remlinger	0.0838962
Benes	0.0838816
Brosius	0.0837702
Belcher	0.08345
Silva	0.0833657
Kile	0.0832931
Andreychuk	0.0832003
Hermanson	0.0831999
Rapp	0.0830267
Boone	0.0828855
McLemore	0.0828394
Womack	0.0828148
Rahman	0.08274
Wakefield	0.0827133
Berenson	0.0826278
Washburn	0.0825126
Mulholland	0.0824273
"Jay Bell"	0.0822008
Lieber	0.0818821
Meadows	0.0818422
Lawton	0.0812892
Sele	0.0812436
Checo	0.081011
Halama	0.0807837
Mussina	0.0807377
"Maturino Resendiz"	0.0803441
Borbon	0.0803008
"Mark Kotsay"	0.0802385
Pena	0.0802311
Mcbride	0.0801482
Huskey	0.0800506
Neagle	0.0800363
Glavine	0.0800207
Biggio	0.079981
Ashby	0.0798699
Tarver	0.0796132
Tella	0.0794681
Ramirez	0.0794531
"Russ Ortiz"	0.079234
Blackthorne	0.0792049
Maddux	0.0789409
Parrish	0.078909
Etherton	0.0789034
Vizcaino	0.078805
Parris	0.078643
Mahomes	0.0785644
Alomar	0.0785135
Saberhagen	0.0785112
Konerko	0.0784804
Zeile	0.0784226
Bergeron	0.0782164
Neulander	0.0780004
Stephenson	0.0779861
Haynes	0.0778938
Crabtree	0.0778173
Mantei	0.0776101
"Warren Morris"	0.0775735
Reynoso	0.0773712
Elarton	0.0771943
Appier	0.0771935
Prewitt	0.0771465
"Russ Johnson"	0.0771346
Saunders	0.0770672
DeShields	0.0769721
Clement	0.0767228
Finley	0.0763218
"Eric Young"	0.0763205
Larkin	0.0762506
Karros	0.0761857
Valentin	0.0761826
Osuna	0.0761553
Abbott	0.0761427
Geiger	0.075965
Leiter	0.075936
Lileikis	0.075936
Faget	0.0757963
Fernandez	0.075553
Wendell	0.0751051
Suppan	0.0750845
Rincon	0.0750327
Mendez	0.0749806
Schilling	0.0749521
"Chris Carpenter"	0.0747659
Clemens	0.0746846
Yoshii	0.0744902
"Luis Alicea"	0.0744643
DiSarcina	0.0743824
Heredia	0.0741351
Bagwell	0.0741215
Martinez	0.0740573
Baldwin	0.0740184
"Scott Brosius"	0.0740061
"Damian Jackson"	0.0739893
Lopez	0.0738072
"Luis Lopez"	0.0737567
Mueller	0.073639
Finkel	0.0731495
"Jose Guillen"	0.073097
Olson	0.0726687
Fagan	0.0724969
Molina	0.0724195
Agca	0.0723126
Petkovsek	0.0722145
"Derek Jeter"	0.0721545
Benitez	0.0721461
Rivera	0.0719944
Atwood	0.0719692
"Dan Wilson"	0.0719135
McGinn	0.071848
Caminiti	0.0718449
Irabu	0.0717184
"Fernando Vina"	0.0717114
Agbayani	0.0716819
Sanchez	0.0716809
Surhoff	0.0716197
Rodriguez	0.0715878
Cordova	0.0714133
Zito	0.0713751
Lampkin	0.0713304
Dickerson	0.071267
))
(casting (desc 22076.4) (sims
editing	0.0708063
planning	0.0610281
marketing	0.0610271
timing	0.0607017
programming	0.0575791
scheduling	0.0567004
distribution	0.0500781
script	0.0498868
processing	0.0489235
packaging	0.048332
choreography	0.0473695
writing	0.0471032
exploration	0.0470478
staging	0.0460667
screening	0.0454974
"special effect"	0.0445561
analysis	0.0444606
refining	0.0444024
setting	0.0438805
engineering	0.0431285
enforcement	0.042923
publicity	0.0426256
Screenplay	0.042168
selection	0.0416887
designing	0.0416871
coaching	0.0414784
synthesis	0.0412804
"product development"	0.0411906
Advertising	0.0410264
manufacturing	0.0409655
printing	0.0409285
thinking	0.0409186
placement	0.0408945
hiring	0.0408272
farming	0.0407007
fishing	0.0406918
reporting	0.0406178
comedy	0.0405531
delivery	0.0404598
pairing	0.0402729
extraction	0.0402515
))
(Castle (desc 34542.1) (sims
mansion	0.139861
palace	0.13478
fortress	0.124468
Chateau	0.121973
Monastery	0.117916
cottage	0.116412
Villa	0.11204
farmhouse	0.108237
Fort	0.104126
temple	0.102003
hotel	0.0937203
chapel	0.0922039
house	0.0912854
inn	0.0894074
mosque	0.0890924
Cathedral	0.0887099
garden	0.0874843
building	0.0868963
tomb	0.0854796
estate	0.0852148
church	0.0847458
Tower	0.0822984
village	0.0813054
cemetery	0.0810416
monument	0.0808915
"country house"	0.0804337
dwelling	0.0803434
residence	0.0803389
grotto	0.0802322
synagogue	0.0801417
museum	0.079541
shrine	0.0788261
Basilica	0.0783078
edifice	0.0776171
barn	0.0769366
pagoda	0.0768334
resort	0.075558
abbey	0.0754985
cabin	0.0751615
apartment	0.0750568
mausoleum	0.07502
farm	0.0734722
motel	0.0730274
complex	0.0730259
bungalow	0.072933
ranch	0.0726846
shack	0.0717735
schoolhouse	0.0715463
Lighthouse	0.0710923
lodge	0.0709759
memorial	0.0709152
courthouse	0.070839
Convent	0.070739
cave	0.0707179
Warehouse	0.0706826
courtyard	0.0704669
Dome	0.0698464
hut	0.0692691
"beach house"	0.0688809
compound	0.0680713
park	0.0677089
"manor house"	0.0672962
"conference center"	0.0670422
factory	0.0669737
"apartment building"	0.0667744
Palazzo	0.0657985
barrack	0.0654191
restaurant	0.0653812
ruin	0.0651825
plaza	0.0651663
"office building"	0.0650663
manor	0.064763
hall	0.0642559
garage	0.0642193
graveyard	0.063354
pub	0.0629776
plantation	0.0629167
townhouse	0.0623009
hacienda	0.0622655
pavilion	0.0621429
theater	0.0618961
town	0.0616161
cafe	0.0614109
library	0.061404
"mobile home"	0.0611791
winery	0.0611223
gallery	0.0600769
"row house"	0.0599774
statue	0.0598915
tavern	0.0597133
fountain	0.0593275
mill	0.0591834
landmark	0.0591324
storefront	0.0589053
"Forbidden City"	0.0584612
stadium	0.0584287
pyramid	0.0582015
Capitol	0.0580316
studio	0.0579485
cloister	0.0578429
enclave	0.0576246
square	0.0575477
"town hall"	0.0575258
shop	0.0574645
camp	0.0572798
headquarter	0.057232
fortification	0.0572027
sanctuary	0.0569807
bunker	0.056908
"opera house"	0.0568453
orphanage	0.0566716
sculpture	0.0564588
quarry	0.0562892
trailer	0.0561024
skyscraper	0.0560851
outpost	0.0559923
Colonial	0.0557997
Parthenon	0.0557567
"Great Wall"	0.05562
landscape	0.0555618
neighborhood	0.0555208
"ranch house"	0.055448
mountain	0.0554183
suite	0.0551532
dormitory	0.0547882
condo	0.0547388
mall	0.0547213
Sphinx	0.054465
structure	0.0543991
beach	0.0540895
"city hall"	0.0540313
shanty	0.0539004
"Great Hall"	0.0538193
"concert hall"	0.053529
shantytown	0.0535052
"apartment house"	0.0533289
sarcophagus	0.0531688
hostel	0.0531371
arena	0.052927
architecture	0.0528308
"small town"	0.0527479
Grave	0.0527325
condominium	0.0527257
"town house"	0.0524584
prison	0.0524305
bridge	0.0523903
garrison	0.0519223
"air base"	0.0519214
kitchen	0.0517337
facade	0.0516875
painting	0.0516817
embassy	0.0516605
orchard	0.0516215
"art gallery"	0.0513987
"amusement park"	0.0513721
loft	0.0513618
Victorian	0.0511689
"Old City"	0.051166
kiln	0.0511297
"log cabin"	0.0510983
tent	0.0507955
"theme park"	0.0507821
wall	0.0506343
Vineyard	0.050523
"Potala Palace"	0.0504473
brewery	0.0503545
penthouse	0.0499201
hilltop	0.0498814
amphitheater	0.0498398
valley	0.0497873
brownstone	0.0497416
hangar	0.0497318
"country club"	0.0497232
Grove	0.0496609
ballroom	0.0496489
countryside	0.0495359
Ballpark	0.0494484
antique	0.0493765
"bell tower"	0.0493433
"place of worship"	0.0491348
homestead	0.049076
forest	0.0489351
airport	0.0488865
terrace	0.0488426
"shopping mall"	0.0488342
lake	0.0487407
island	0.0486372
treasure	0.0485566
"Wye Plantation"	0.0482155
Obelisk	0.0481397
"dining room"	0.0481334
tenement	0.048121
saloon	0.0480978
Hamlet	0.0480505
"art collection"	0.0479876
campus	0.0479077
waterfall	0.0476818
"parking lot"	0.0474276
"stone wall"	0.0473869
birthplace	0.0473478
))
(castoff (desc 1725.76) (sims
chenille	0.0515092
journeyman	0.0507427
"Jeff King"	0.0500692
outhit	0.0488864
highflier	0.0471714
"Bill Pulsipher"	0.046999
Vidro	0.0461692
"Breda Kolff"	0.0461578
farmhand	0.0453943
"Arena League"	0.0443831
"transfer payment"	0.04371
All-Pro	0.0434446
DVD-ROM	0.0429368
Zonolite	0.0428316
"Continental Basketball Association"	0.0422728
"Matt Franco"	0.0421226
"Three hundred"	0.0419957
"Kosovar Albanian"	0.0418427
"close to @@,@@@"	0.0416424
fifth-year	0.0412849
"Rob Ducey"	0.0412527
"grammar school"	0.0411277
Obilic	0.041036
"three million"	0.0410026
Lieberthal	0.0409339
"Quinton McCracken"	0.0407673
kayaker	0.0407668
washout	0.0403529
"Gold Glove"	0.0402239
))
(castoffs (desc 2782.72) (sims
hangers-on	0.0739276
misfit	0.0706282
ruffian	0.064039
journeymen	0.0636678
"little leaguer"	0.0634034
vagabond	0.0592176
wannabe	0.051754
"minor leaguer"	0.0509772
feeler	0.0483034
castaway	0.0480028
rower	0.0468354
"supporting players"	0.0466799
"computer expert"	0.0466708
AWOL	0.0465714
Irishmen	0.0456688
holdover	0.0456067
knickknack	0.0454821
underachiever	0.0450444
malcontent	0.0448288
returnees	0.0444215
"Buzz Lightyear"	0.0442122
seasons.	0.0437832
"role player"	0.0436777
All-stars	0.0436491
glassware	0.0435092
luminary	0.0432984
partygoer	0.0424187
All-Americans	0.0423899
standouts	0.0420938
poseur	0.0420783
oddball	0.0419866
"Andrea Gail"	0.0417868
outcast	0.0417844
overachiever	0.0405257
))
(castration (desc 1554.13) (sims
maiming	0.139536
amputation	0.102973
mutilation	0.0949015
sterilization	0.0758093
flogging	0.0673964
disfigurement	0.0646789
stapler	0.0634954
dismemberment	0.0626302
defoliant	0.061991
Pondimin	0.0618267
reagent	0.0591065
reappraisal	0.0580148
"nervous breakdown"	0.0579375
decapitation	0.05725
jailing	0.0572044
hypnosis	0.0562108
decriminalization	0.0556717
labeling	0.0551948
fibre	0.0549219
molestation	0.0542315
celibacy	0.053997
burnings	0.0539841
fumigation	0.0531129
sentencing	0.0519963
cloning	0.0509188
spanking	0.0508824
preservative	0.0505991
psychotherapy	0.0500753
scrubs	0.049646
reestablishment	0.0494744
electrocution	0.049396
Contraception	0.0490558
Bayer	0.0489528
facelift	0.0479876
Ataturk	0.0478587
menopause	0.0478554
"sleeping pill"	0.047757
exactitude	0.0476693
cremation	0.0475983
euthanasia	0.0475717
infanticide	0.0469974
"majority rule"	0.0468919
promiscuity	0.0459674
pillaging	0.0459438
targeting	0.045932
"proxy fight"	0.0457793
volunteerism	0.0456465
"Taiwan Independence"	0.0452349
BASF	0.0451653
augmentation	0.04511
retooling	0.0449827
hostage-taking	0.0447974
center-right	0.0447529
impurity	0.0443725
gunrunning	0.0443123
serotonin	0.0442565
enslavement	0.0439555
"detective work"	0.0438267
remodeling	0.0434886
Petkovsek	0.0434321
divestment	0.0433475
circumcision	0.04321
"sexual assault"	0.0431141
stabbings	0.0429274
enema	0.0429222
Toxicology	0.0426046
anesthetic	0.0425499
extermination	0.0424825
stents	0.0424748
phaseout	0.0415925
dryness	0.041253
belt-tightening	0.041245
placebo	0.0411009
withholding	0.0410196
deductibility	0.0409787
whipping	0.0408927
implantation	0.0408897
"possible action"	0.0407894
licensing	0.0407346
sickness	0.0404892
Posting	0.040489
"electric shock"	0.0403342
eviction	0.0403165
vermin	0.0402947
pasteurization	0.0402821
witchcraft	0.0400548
SBA	0.0400299
))
(Castro (desc 29916.4) (sims
"Fidel Castro"	0.201977
Mugabe	0.153799
Saddam	0.147175
Yeltsin	0.14597
Mandela	0.13223
Arafat	0.125226
Chirac	0.124573
Chavez	0.122358
Jiang	0.121566
Sharif	0.121
Milosevic	0.120281
Khatami	0.11847
Schroeder	0.115024
Blair	0.114789
Hussein	0.114213
"Saddam Hussein"	0.112822
Menem	0.112737
Gadhafi	0.112375
Lukashenko	0.112122
Fujimori	0.111594
Mahathir	0.110747
Obuchi	0.110101
Nazarbayev	0.109793
Museveni	0.108769
Putin	0.107693
Kohl	0.107559
Mubarak	0.106301
Clinton	0.105851
Kabila	0.105459
Hashimoto	0.10327
Assad	0.102982
Mobutu	0.101649
Zhu	0.101557
Tung	0.100913
Obasanjo	0.100799
"Hun Sen"	0.100729
Wahid	0.100653
Estrada	0.100374
Mbeki	0.100374
Hasina	0.100342
pope	0.100086
Netanyahu	0.099952
Goh	0.0997652
Rabbani	0.0994641
Pinochet	0.0989656
Soeharto	0.0984096
Gingrich	0.0984077
Pastrana	0.098387
Habibie	0.0975871
Tudjman	0.097506
Ramos	0.0972593
Annan	0.0972529
Chuan	0.0967823
Kim	0.0960927
Chretien	0.0955195
Vajpayee	0.0953857
Abacha	0.0951585
Peres	0.0946166
Zedillo	0.0944483
Suharto	0.0944035
Li	0.09412
Mkapa	0.0933789
Albright	0.0931804
Samaranch	0.09308
Weizman	0.0928829
Aziz	0.0925708
Barak	0.0920512
Chiluba	0.0920328
Lott	0.0918351
Buyoya	0.091651
Nujoma	0.0914393
Moi	0.091349
Kuchma	0.0912894
Cohen	0.0912447
Simitis	0.0908884
Ecevit	0.0907453
Rafsanjani	0.0901509
"Nawaz Sharif"	0.0900033
"Dalai Lama"	0.0894962
"Pope John Paul II"	0.0894165
President	0.0891829
Chen	0.0890023
Abubakar	0.0883823
Chavalit	0.0881626
Giuliani	0.0881508
Hariri	0.0879441
Primakov	0.0877022
Bush	0.0876411
Prodi	0.0872296
"John Paul"	0.0869344
Khamenei	0.0868667
Banharn	0.0867376
Savimbi	0.0864667
Cardoso	0.0864105
Haider	0.086402
Hu	0.0855868
Rugova	0.0855565
Berisha	0.0855498
Gaddafi	0.085368
gore	0.085202
Kabbah	0.0851934
Clerides	0.085185
Farrakhan	0.084877
Demirel	0.0847695
Daley	0.084764
Richardson	0.0846439
"King Hussein"	0.0844769
Ivanov	0.0844575
Reagan	0.0842862
"Tony Blair"	0.0842604
Velayati	0.0837529
Adams	0.0834691
"Juan Miguel Gonzalez"	0.0832121
Kennedy	0.0830904
Camdessus	0.0830318
"Boris Yeltsin"	0.0827224
Hitler	0.0825782
Musharraf	0.0823801
shah	0.082311
Lee	0.0822134
Denktash	0.0821631
Qian	0.0815719
Mori	0.0814465
Abdullah	0.081311
Kharrazi	0.0810862
Jackson	0.0809987
pontiff	0.0809459
Kwasniewski	0.0809126
Phieu	0.0808732
Wang	0.0807245
Allende	0.0806484
Guterres	0.0803887
Chissano	0.0802561
Kumaratunga	0.0802155
Ahern	0.0801322
Anwar	0.0798727
Pataki	0.0797958
Jospin	0.0796159
Buchanan	0.0796118
"Benjamin Netanyahu"	0.0792599
Mayor	0.0792188
"Yasser Arafat"	0.0791621
Jovanovic	0.0791337
Lieberman	0.0790723
Sankoh	0.0790451
"Keizo Obuchi"	0.0789182
DOLE	0.0789077
McCain	0.0788669
Vieira	0.0787568
"Slobodan Milosevic"	0.0786688
Solana	0.0786085
Shevardnadze	0.0785826
FIDEL	0.078491
Sihanouk	0.0784243
"Mahathir Mohamad"	0.0783956
Taylor	0.0783049
Nixon	0.0781939
Nasrallah	0.0780289
"Atal Bihari Vajpayee"	0.0779891
Chernomyrdin	0.0777969
Greenspan	0.0776743
Hastert	0.0775714
Luong	0.0773366
Gates	0.0772331
Scalfaro	0.0770019
Gonzalez	0.076811
Whitman	0.0768064
Howard	0.0767003
Robinson	0.0766778
"Li Peng"	0.07663
Mordechai	0.0766176
Wolfensohn	0.0765253
Qiao	0.0763136
Bhutto	0.0762
D'Alema	0.0761345
Gorbachev	0.0760754
Tsang	0.0760155
Aznar	0.0759261
Diouf	0.0758328
Marcos	0.0757794
"Chuan Leekpai"	0.0757156
Trimble	0.0756351
Niyazov	0.0756223
Robertson	0.0753366
Deng	0.0751862
Holbrooke	0.0751241
Johnson	0.0749393
Frei	0.0748225
Taliban	0.0746896
regime	0.0746092
Gephardt	0.0744515
Vedrine	0.0743844
Fischer	0.0743802
"Sheikh Hasina"	0.0742257
"William Cohen"	0.0740415
Chancellor	0.0739982
Abiola	0.0736513
Ogata	0.0736501
Livingston	0.0736244
Zou	0.0736077
))
(casualness (desc 1081.42) (sims
nonchalance	0.100274
informality	0.0668333
"clean slate"	0.0638535
arousal	0.0598727
aplomb	0.0597569
Panache	0.0596339
Asa	0.0568803
"traveling salesman"	0.0563967
"Little Dog"	0.0552565
"sales pitch"	0.053581
Bostonian	0.0534436
"Roy Lassiter"	0.0525839
vagueness	0.0521662
Utes	0.0516213
insouciance	0.051272
dragnet	0.0510633
hyphen	0.0508966
sedative	0.0508107
"stock company"	0.0506181
elan	0.0505402
frankness	0.0503704
HDL	0.0497195
"matinee idol"	0.0492791
"light touch"	0.0480143
"line of questioning"	0.047911
Iliescu	0.0473321
fiefdom	0.0469187
bourgeoisie	0.0464354
"point system"	0.0458335
"computer language"	0.0449136
lightness	0.0447615
endoscope	0.0444847
grating	0.0444409
"four-letter word"	0.0434334
"great care"	0.0426544
"raw data"	0.0426013
"utility program"	0.0424011
"piece of music"	0.0421983
coda	0.0421799
"boy wonder"	0.0421347
"flower arrangement"	0.042112
Lamborghini	0.0418322
"musical score"	0.0414451
trepidation	0.041434
"Potsdamer Platz"	0.0413473
"body politic"	0.0411493
Vidro	0.0410616
"battering ram"	0.0410122
Prius	0.0406799
optometrist	0.0406633
Solis	0.0406479
Whitacre	0.0404465
wholesomeness	0.0403401
"software system"	0.0400159
))
(casualty (desc 58100.5) (sims
toll	0.165462
fatality	0.154585
damage	0.14841
wounded	0.127744
injury	0.112577
escalation	0.109302
victim	0.107832
Death	0.106324
loss	0.104405
suffering	0.100308
atrocity	0.100067
disruption	0.0987567
consequence	0.097403
attack	0.0948589
killing	0.09437
"financial loss"	0.094002
hardship	0.09252
accident	0.0922426
harm	0.0919309
risk	0.0918181
fallout	0.0916762
devastation	0.0908571
incident	0.090715
impact	0.0883594
catastrophe	0.0873284
aftershock	0.0871043
danger	0.0870362
"side effect"	0.0862299
outbreak	0.0854944
destruction	0.0853925
tragedy	0.0834768
civilian	0.0826217
flare-up	0.0814318
inconvenience	0.0808294
disaster	0.0806217
violence	0.0802129
clash	0.0787332
arrest	0.0782474
threat	0.0779919
bloodshed	0.0774428
bombing	0.0774409
fighting	0.0772566
trauma	0.0772163
layoff	0.0769184
tension	0.0767748
illness	0.0761336
involvement	0.0761164
explosion	0.0759349
effect	0.0757718
setback	0.0756875
result	0.0755221
unemployment	0.0745832
massacre	0.0740995
carnage	0.0740174
shelling	0.0738242
deterioration	0.0734666
violation	0.0731642
failure	0.0727961
difficulty	0.0725724
soldier	0.0725194
abuse	0.0722881
crime	0.0721718
hazard	0.0721527
delay	0.0720524
incidence	0.0719913
fire	0.0718499
outages	0.0716861
confusion	0.0714452
unrest	0.0714198
problem	0.0711583
instability	0.070651
shortage	0.0700536
troop	0.0696354
eruption	0.0691596
survivor	0.0691505
"health problem"	0.069147
tremor	0.0690211
looting	0.0688272
mishap	0.0687104
epidemic	0.0684104
homicide	0.0682142
spill	0.0682063
complication	0.0681714
crash	0.0679782
refugee	0.0679589
glitch	0.0674854
breakdown	0.0674099
repercussion	0.0673092
pain	0.0668965
"price increase"	0.0665179
mistake	0.0663682
deployment	0.0663162
morale	0.0661339
conflict	0.0658548
stress	0.0658036
exodus	0.0657661
"air raid"	0.0657649
wound	0.0654829
infection	0.0653745
airstrikes	0.0653639
action	0.0652868
cost	0.0652729
number	0.0651437
incursion	0.0651307
injured	0.0651002
strike	0.0650896
harassment	0.0650266
mortality	0.0649846
turnout	0.0649656
famine	0.0648901
assault	0.0647702
chaos	0.064534
magnitude	0.0644702
defection	0.0644012
pollution	0.0642584
offensive	0.0641687
raid	0.0641548
ambush	0.0636592
recurrence	0.0635692
kidnapping	0.0634672
situation	0.0632649
seizure	0.0631569
possibility	0.0631139
prisoner	0.0630895
contamination	0.0628889
activity	0.062879
paralysis	0.0627113
"military action"	0.0625717
outcome	0.0625205
weapon	0.0624902
blow	0.0624646
decline	0.0624098
flood	0.0623903
poisoning	0.0623336
brutality	0.0622494
liability	0.0621561
shortfall	0.0620588
case	0.0616028
collapse	0.0615552
earthquake	0.0615486
pressure	0.0615333
"fatal accident"	0.0614985
target	0.0614922
discomfort	0.061325
presence	0.0611816
"job cut"	0.0611185
calamity	0.0610925
distraction	0.0609623
rebel	0.0608212
occurrence	0.0608202
backlash	0.0607698
losses	0.0607406
scar	0.060653
homeless	0.0605657
slowdown	0.0601092
intervention	0.0600607
"air attack"	0.0600125
upheaval	0.0598279
Collision	0.0598053
participation	0.059785
burden	0.0597763
aggression	0.0597688
cancellation	0.059744
dead	0.0596788
sortie	0.0595893
embarrassment	0.059581
suspect	0.0595498
onslaught	0.0595178
irregularity	0.0594813
theft	0.0594485
turmoil	0.0593852
defeat	0.0593661
disturbance	0.0592507
exposure	0.0592356
combatant	0.0588329
weakness	0.0588247
withdrawal	0.0588193
war	0.058573
interruption	0.058459
leak	0.0584396
bombardment	0.0583715
guerrilla	0.058361
trouble	0.0582848
likelihood	0.058247
"death rate"	0.0582308
leakage	0.0582089
confrontation	0.0581941
shooting	0.0581358
condition	0.058084
suicide	0.0580466
aftermath	0.0580241
warning	0.0579743
bomb	0.057935
erosion	0.0578614
misery	0.0578094
evacuee	0.0577598
shock	0.0577
turbulence	0.0576822
resistance	0.0576366
"heart attack"	0.0576022
))
(CAT (desc 65369.9) (sims
dog	0.178578
animal	0.13495
monkey	0.133052
bird	0.128957
rat	0.126577
rabbit	0.126369
deer	0.124344
pet	0.12078
bear	0.118547
pig	0.117364
cow	0.116799
snake	0.116319
goat	0.112941
kitten	0.109686
sheep	0.108243
elephant	0.106387
raccoon	0.104832
squirrel	0.102076
hamster	0.100324
baby	0.0987209
tiger	0.097853
horse	0.0969188
kid	0.0968886
puppy	0.0962833
turtle	0.0947453
parrot	0.093754
mice	0.0935922
rodent	0.0922999
lion	0.091882
lizard	0.0917252
pigeon	0.0906084
insect	0.0905121
alligator	0.0898851
child	0.0878976
fish	0.0875749
geese	0.086859
creature	0.0866813
frog	0.0861602
whale	0.0853867
boy	0.0849707
cattle	0.0842279
man	0.0835948
crocodile	0.0831874
owl	0.0829323
girl	0.0824744
"little girl"	0.0814254
guy	0.0814225
chimpanzee	0.0803708
bunny	0.0803674
leopard	0.0799636
wolf	0.0799354
human	0.0797838
panda	0.0789241
mammal	0.0784192
chicken	0.0784059
"giant panda"	0.077934
duck	0.0777702
mouse	0.0771144
rooster	0.0768582
infant	0.0764807
bull	0.0742462
donkey	0.0739899
chimp	0.0732757
Dinosaur	0.0731547
crow	0.0729172
"little boy"	0.0724416
otter	0.0723177
Livestock	0.0723091
dragon	0.0718479
people	0.0717031
kangaroo	0.0715382
moose	0.0715181
rhinoceros	0.0713672
iguana	0.0711542
"black bear"	0.0711217
toddler	0.0705496
Pony	0.0701605
woman	0.0700741
skunk	0.0696792
camel	0.06939
spider	0.0689786
bug	0.0689306
mosquito	0.0688879
rhino	0.0682813
"farm animal"	0.0681398
beast	0.0681056
mother	0.0680144
ape	0.0677647
elk	0.0673892
peacock	0.0668456
coyote	0.0666678
doll	0.066218
gorilla	0.0661853
teen-ager	0.0659229
shark	0.0657351
critters	0.0655164
poodle	0.0654913
dolphin	0.0652139
"young man"	0.0651864
goldfish	0.0651424
"young woman"	0.0649808
mutt	0.06481
patient	0.0648036
tortoise	0.0641023
Primate	0.0637712
daughter	0.0637064
zebra	0.0633257
someone	0.0632434
"guinea pig"	0.0632241
yak	0.0631187
toy	0.0628642
mom	0.0628014
specie	0.0624457
llama	0.0624164
character	0.0622088
reptile	0.0618627
person	0.0618203
cockroach	0.0614253
calf	0.0612859
son	0.0611944
"domestic animal"	0.0610202
beaver	0.0609564
salamander	0.0608683
brother	0.0607108
antelope	0.0603263
pup	0.0602608
"German shepherd"	0.0601891
kitty	0.0601272
adult	0.060098
monster	0.060066
worm	0.0599361
Cop	0.0598713
hog	0.0597292
folk	0.0597083
Robot	0.0594623
ox	0.0593669
husband	0.0593547
"polar bear"	0.0591382
family	0.0590598
youngster	0.0590593
friend	0.0589589
lady	0.0586173
"sea turtle"	0.0580752
female	0.0580615
sister	0.0579661
ant	0.0579247
lover	0.0577946
teenager	0.0577689
bat	0.0577589
parent	0.0577165
pooch	0.0574648
giraffe	0.0574264
baboon	0.0571683
male	0.0567708
somebody	0.0566566
"family member"	0.0565437
dad	0.0563099
buddy	0.0562428
father	0.0560458
athlete	0.0558301
stranger	0.0557772
ghost	0.055694
sailor	0.0556226
you	0.0555645
grandchildren	0.055357
fan	0.0549864
"old lady"	0.0548734
dude	0.0546836
babe	0.0546679
ostrich	0.0546161
tree	0.05453
"old man"	0.0544637
toad	0.0541564
companion	0.0540775
bee	0.0540007
bison	0.0537282
flower	0.0537216
wife	0.0536466
pheasant	0.0533301
wildlife	0.0533101
dancer	0.0532643
swan	0.0532553
angel	0.053237
hen	0.0532354
gun	0.0530998
"loved one"	0.0530911
phantom	0.0529901
trout	0.052969
victim	0.0528474
chick	0.052835
"teddy bear"	0.0528002
cousin	0.0524464
seal	0.0522698
python	0.0522217
clown	0.051999
Killer	0.0517569
car	0.0517439
"human being"	0.0516965
corpse	0.0516856
soldier	0.051636
))
("cat food" (desc 1683.48) (sims
"dog food"	0.165615
"pet food"	0.141989
"tuna fish"	0.106095
"insect repellent"	0.101226
"toilet paper"	0.0970178
"raw meat"	0.0908228
Wheaties	0.0907208
"Miller Lite"	0.0900492
"shaving cream"	0.0870472
"Diet Coke"	0.085828
"hair spray"	0.079463
"potato chip"	0.0734355
Budweiser	0.0727335
cheerio	0.0727078
Kleenex	0.0723189
"candy bar"	0.0716228
crayon	0.0714473
birdbath	0.0710587
sardine	0.0704694
"Mountain Dew"	0.0694949
"corned beef"	0.0684935
shampoo	0.0677086
"sunflower seed"	0.0676833
Orangina	0.0676243
"soda pop"	0.0658681
tuna	0.0651138
popcorn	0.065053
"fresh food"	0.0648258
Heineken	0.0638244
"motor oil"	0.0636237
"canned food"	0.0629825
diaper	0.0626972
tequila	0.0622567
matzo	0.0618059
oreo	0.0614443
tuba	0.0613961
doughnut	0.0608722
"fire hose"	0.0604089
cashew	0.0598757
legume	0.0595274
"M&AMP;Ms"	0.0590605
"spaghetti sauce"	0.0586221
"french fries"	0.0569981
suds	0.0568859
"macaroni and cheese"	0.0565881
cola	0.0563209
anchovy	0.0562158
macaroni	0.0561595
aerosol	0.0556122
"canned goods"	0.0551893
deodorant	0.0549853
"chewing gum"	0.0547331
Pony	0.0536662
"white meat"	0.0535344
"gas stove"	0.0528739
detergent	0.052737
"cake mix"	0.0518853
"cooking oil"	0.051841
"chocolate chip cookie"	0.051782
"cassette recorder"	0.051757
cheeseburger	0.0515045
"laundry detergent"	0.0510567
donut	0.0508354
REPELLENT	0.0508294
Haagen-Dazs	0.0502151
tofu	0.0497682
shortcake	0.0497566
Twinkies	0.0496041
"creature comforts"	0.0495234
caviar	0.0491841
"duffel bag"	0.0489597
"air filter"	0.0488885
"pound cake"	0.0486922
oatmeal	0.0484921
"TV dinner"	0.0481108
shredders	0.047604
"food product"	0.0475487
Kool-Aid	0.0471614
headstone	0.0468252
bagel	0.0465759
goldfish	0.0464239
Gatorade	0.0461811
"golf equipment"	0.0460893
buckwheat	0.0455221
dairy	0.0453518
KIMCHI	0.0452392
"Taco Bell"	0.0450196
nacho	0.0448394
"coffee bean"	0.0448126
toothpaste	0.0447625
"electronic equipment"	0.0446378
bratwurst	0.0446084
"Cadbury Schweppes"	0.0446036
"coconut milk"	0.0445992
"tennis ball"	0.0442317
"Internet Service Providers"	0.0442309
margarine	0.043854
"vegetable oil"	0.0437953
generics	0.043664
"tape recorder"	0.0436468
hosiery	0.0435756
cookware	0.0434993
"stereo system"	0.0434515
"grocery bag"	0.0433023
"salad dressing"	0.0432925
quiche	0.0431015
widget	0.0429446
"loaf of bread"	0.0429207
"sweet corn"	0.0429089
"three pitchers"	0.0428197
"dried fruit"	0.0427546
agave	0.0426085
"color television"	0.0425214
"consumer product"	0.0424073
hazelnut	0.042058
Partway	0.0418307
"off-speed pitch"	0.0417985
rations	0.0415665
truffle	0.0412934
sealant	0.0412024
"piece of furniture"	0.0410118
"passion fruit"	0.0409315
changeups	0.0408142
"New Labor"	0.0407999
stumping	0.0407609
"sour grapes"	0.0406155
pretzel	0.0404244
tableware	0.0403739
grub	0.040231
vodka	0.0402183
"chicken broth"	0.0401014
))
("Cat Thief" (desc 10988.2) (sims
Menifee	0.289667
"Prime Timber"	0.259808
"Lemon Drop Kid"	0.2524
"Worldly Manner"	0.247572
Silverbulletday	0.243083
"Stephen Got Even"	0.215556
"Silver Charm"	0.201614
"Excellent Meeting"	0.201087
Valhol	0.20035
"Ecton Park"	0.197559
vicar	0.19284
"Kimberlite Pipe"	0.191947
"Desert Hero"	0.191457
"Victory Gallop"	0.189077
charismatic	0.188607
"High Yield"	0.186717
Wondertross	0.182211
"River Keen"	0.181812
Behrens	0.180504
"Real Quiet"	0.178424
"Free House"	0.166479
Malek	0.165406
"Red Bullet"	0.162688
Adonis	0.155075
"Puerto Madero"	0.150643
"Fusaichi Pegasus"	0.145906
"Cash Run"	0.142261
Daylami	0.14216
"Answer Lively"	0.141154
Artax	0.137591
"Skip Away"	0.133329
"Awesome Again"	0.126509
"Thunder Gulch"	0.126296
Anees	0.125653
Surfside	0.123071
"Running Stag"	0.122962
Budroyale	0.118535
"Banshee Breeze"	0.118223
filly	0.108848
gelding	0.107609
Chilukki	0.105445
"Forest Camp"	0.103046
colt	0.102917
"Touch Gold"	0.0959767
"Favorite Trick"	0.0942498
"War Chant"	0.09355
aptitude	0.092646
"Florida Derby"	0.0879002
"Chris Antley"	0.0852538
"Beautiful Pleasure"	0.083017
grindstone	0.0824826
horse	0.0799627
Tanui	0.0799127
"Winning Colors"	0.0792349
"Bobby Labonte"	0.078907
"D. Wayne Lukas"	0.0777337
"Kentucky Derby"	0.0761575
"straight man"	0.0746823
"Mark Martin"	0.07394
"Pat Day"	0.07219
Sainz	0.0715322
"Jeff Burton"	0.0711959
Pantani	0.0705487
Baffert	0.0695944
"Michael Andretti"	0.0689582
Kjus	0.0684204
"Nick Zito"	0.0670118
"Bob Baffert"	0.0667294
Loroupe	0.0658215
Franchitti	0.0656557
"Seattle Slew"	0.0652803
Klim	0.064763
"Dario Franchitti"	0.0646078
"Fernando Escartin"	0.0643456
Coulthard	0.0642887
gentlemen	0.0637972
Cipollini	0.0637297
Kafelnikov	0.0634316
Aamodt	0.0618638
"Isolde Kostner"	0.0616028
Ivanisevic	0.0606142
Affirmed	0.0605391
"A.P Indy"	0.0603272
"Old Trieste"	0.06004
Jalabert	0.0596041
Arazi	0.0590061
Alydar	0.0589257
"Dale Jarrett"	0.0585851
Labonte	0.0581601
"Bjarne Riis"	0.0580575
Longo	0.0577563
Lukas	0.0576814
"Mike Smith"	0.0570365
"Annika Sorenstam"	0.056144
"Rusty Wallace"	0.0561012
"Dale Earnhardt Jr."	0.0558456
Jarrett	0.0557307
Biffle	0.055398
Heyns	0.0553733
Hakkinen	0.0552344
Maier	0.0549407
Sautin	0.0548414
Pippig	0.0540098
"Cup Classic"	0.0539901
"Arkansas Derby"	0.0539221
Ullrich	0.0536702
Zanardi	0.0536294
"Bill Elliott"	0.0536087
"Juan Montoya"	0.053558
"Erik Zabel"	0.0534469
"Miguel Indurain"	0.0533165
Derby	0.0532095
Earnhardt	0.052747
"David Duval"	0.052734
"long shot"	0.0523876
"David Coulthard"	0.0521737
Halard-Decugis	0.0519255
"Jeff Gordon"	0.0517702
"Chris McCarron"	0.0516698
jockey	0.0512158
"Regina Jacobs"	0.0507576
Devers	0.0502719
Kelso	0.0494143
"Dale Earnhardt"	0.0491247
Julich	0.0490879
"Gary Stevens"	0.0488314
Appleby	0.0487694
Ferdinand	0.0485753
Seles	0.0481229
Irwin	0.047967
"Alex Solis"	0.0476779
Trippi	0.0475244
"Ricky Williams"	0.0472731
finisher	0.0472726
swain	0.0471642
"Colin McRae"	0.0470007
Agassi	0.046769
Faldo	0.0466998
Meissnitzer	0.0466756
Montoya	0.0464279
Hendrawan	0.0460728
"Hale Irwin"	0.0460221
stablemate	0.0459295
"Richard Mandella"	0.0458971
"Scott Goodyear"	0.0458571
Waldner	0.0458358
Unser	0.0457968
"Kenny Brack"	0.0457797
Luyendyk	0.0456049
Huber	0.0455985
"Ivan Ivankov"	0.0455498
Tapia	0.045549
"Jeremy Mayfield"	0.0454887
"Michael Schumacher"	0.0454604
Bjorkman	0.0454208
Krajicek	0.0453154
"Pernilla Wiberg"	0.0452064
Lapentti	0.0451578
"Al Unser Jr."	0.0451421
Woodson	0.0450549
mare	0.0450331
Schumacher	0.0448971
"Jerry Bailey"	0.044857
"Lasse Kjus"	0.0447774
Preakness	0.0447649
Khannouchi	0.0445218
"Maurice Greene"	0.0444822
Henman	0.044461
"Belmont Stakes"	0.0444328
Samuelson	0.0442717
thoroughbred	0.0439816
Sorenstam	0.0439756
"Richard Virenque"	0.0439383
Kuerten	0.0436737
"Larry Nelson"	0.0436217
"Arie Luyendyk"	0.0435988
Corretja	0.0434071
"Jearl Miles-Clark"	0.0433929
"Hilde Gerg"	0.0430937
Mayfield	0.0428644
"Phil Mickelson"	0.0427991
Xiong	0.0427759
Makinen	0.0427754
runner-up	0.0427277
"Jack Nicklaus"	0.0427078
"Yang Yang"	0.0426882
"Jorge Chavez"	0.0424276
"Earnhardt Jr."	0.0423667
Burke	0.0420408
Pony	0.0420214
O'Meara	0.0420072
"rock and roll"	0.041971
Chang	0.0419391
longshot	0.0418661
"Mike Skinner"	0.041793
Yagudin	0.0417731
"Elvis Stojko"	0.041767
Gordon	0.0417433
"Mark Calcavecchia"	0.0417121
Andretti	0.0416815
))
(cataclysm (desc 1998.19) (sims
conflagration	0.124352
catastrophe	0.109815
calamity	0.0964718
"dog bite"	0.0963048
apocalypse	0.0957662
depredation	0.0911205
bloodbath	0.0856674
privation	0.0829957
upheaval	0.0822971
foul-up	0.0796521
contagion	0.0792263
meltdown	0.07875
dislocation	0.0778489
shakeout	0.0758474
rupture	0.0742918
ignominy	0.0735071
indignity	0.0732144
spillage	0.0728975
overexposure	0.0726197
downturns	0.0725609
polarization	0.0724881
hardship	0.0722868
inhumanity	0.0719205
flare-up	0.0716571
"market correction"	0.0716559
deflation	0.0707338
vicissitude	0.0702849
starvation	0.0700918
devastation	0.0698722
atrocity	0.0697889
carnage	0.0688404
bloodletting	0.0683144
flareup	0.0676749
eruption	0.0670241
"brain drain"	0.0669578
disintegration	0.0669459
ravages	0.0665533
"power failure"	0.0664872
meltdowns	0.06626
deluge	0.0662356
overproduction	0.0660462
"hard times"	0.0658294
turbulence	0.0657582
overheating	0.0655349
pogrom	0.065384
destabilization	0.0647905
"rain shower"	0.0643114
rollovers	0.0639164
"solar eclipse"	0.0637536
"flash point"	0.063729
"cash crunch"	0.0635209
entanglement	0.0633236
recidivism	0.0631204
"deficit spending"	0.0630818
"shock wave"	0.0630779
tribulation	0.0629375
holocaust	0.0625439
"cold spell"	0.0625
thawing	0.0620215
"storm cloud"	0.0619197
C-section	0.0617538
recurrence	0.0617222
"ice age"	0.0611878
squall	0.0611701
"Millennium Bug"	0.0607066
Balkanization	0.060631
self-destruction	0.0604234
famine	0.0603131
backlash	0.0602863
"tidal wave"	0.0601329
"race riot"	0.0599093
implosion	0.0598733
phenomena	0.0597578
quagmire	0.0596726
epiphany	0.0596713
wastage	0.059655
"change of mind"	0.0595712
pandemic	0.0594425
"price war"	0.0593661
convulsion	0.0589716
annihilation	0.0589236
barbarity	0.0584911
schism	0.0584211
awkwardness	0.0583576
trauma	0.0581403
mudslide	0.0580806
Repositioning	0.0579105
"temperature change"	0.0577739
"news event"	0.0575365
psychopath	0.0573815
extinction	0.0573276
escalation	0.0573156
strife	0.0569769
preconception	0.0569333
"shock therapy"	0.0566332
tsunami	0.0566082
miscalculation	0.0564527
"Nanjing Massacre"	0.0564157
"chain reaction"	0.0564134
"asthma attack"	0.0563619
firestorm	0.0561127
heartache	0.0561105
pileup	0.0560451
clotting	0.0560251
"management shakeup"	0.0554079
relapse	0.0553573
fragility	0.055309
shenanigan	0.0552587
"price fluctuation"	0.0551751
"white elephant"	0.0548348
blackout	0.0547672
"chemical reaction"	0.0546171
Bedlam	0.0544177
depletion	0.0544073
onslaught	0.054399
"work camp"	0.0542872
letdown	0.0542753
downdraft	0.0540864
"nervous breakdown"	0.0540045
hilarity	0.0539874
snafu	0.0539093
tumult	0.0538658
"Hurricane Dennis"	0.0537408
slippage	0.0534634
maelstrom	0.0533662
deterioration	0.0533363
shortsightedness	0.0529877
nastiness	0.0529176
"budget debate"	0.0528819
"public exposure"	0.052477
blinder	0.0522648
scourge	0.0522037
hyperinflation	0.052096
breakage	0.0520775
persecution	0.0520736
alchemy	0.0519598
Typhoon	0.0519337
marginalization	0.0517508
coercion	0.0516916
radicalism	0.0516276
redemption	0.0515977
craziness	0.0514138
"Siamese twin"	0.0514108
enslavement	0.0513178
"economies of scale"	0.05125
Edelstein	0.0512482
"fire sale"	0.0512431
duress	0.0510859
exoticism	0.0510724
"arms race"	0.0509698
glut	0.0507775
shipwreck	0.050611
Awakening	0.0505921
oversimplification	0.0505622
chasm	0.0504487
Hoffmann	0.0503823
evaporation	0.0503546
"hue and cry"	0.0501304
"neutron star"	0.0500845
debacle	0.0500469
insolvency	0.0500095
"hanky panky"	0.0500005
abyss	0.0499982
phaseout	0.0499092
"alarm bell"	0.0498926
unpleasantness	0.0498114
"jazz musician"	0.0497356
mishap	0.0496359
"blood clot"	0.049577
fireball	0.0495209
dysfunction	0.0494622
logjam	0.0493995
volatility	0.0492963
opprobrium	0.0492799
miscarriage	0.0492747
"stroke play"	0.0492149
cutoffs	0.0491806
"flash flood"	0.049158
"pressure group"	0.0490863
"ice storm"	0.0490663
hotspots	0.0490634
hailstorm	0.049031
straitjacket	0.0489825
"wear and tear"	0.0489066
reckoning	0.0488899
"identity crisis"	0.0488116
culpa	0.0486955
revelry	0.0486733
"day of reckoning"	0.048668
"Second Coming"	0.048557
knockdown	0.0485432
predation	0.0485234
mix-up	0.0484793
"Adolf Eichmann"	0.0484723
bends	0.0484489
Armageddon	0.0484331
spillover	0.048259
precipice	0.0482452
degradation	0.0482254
tampering	0.0482177
))
(Catacosinos (desc 1556.92) (sims
DIMON	0.174351
Cubas	0.15982
Coulter	0.156357
Bubb	0.156
Barad	0.150956
Mokhehle	0.139645
Spyridon	0.133453
Joklik	0.132915
Mukora	0.132467
Ribbeck	0.124537
Wetherell	0.12375
Zadornov	0.119041
Kassirer	0.118714
Coelho	0.117321
Schaeuble	0.116849
Pfeiffer	0.114252
Ivester	0.113385
Bizimungu	0.108797
Gowda	0.107661
Quackenbush	0.106335
Mahuad	0.10352
Demaci	0.101819
BURNHAM	0.0994452
Murayama	0.099093
Zacarias	0.0988081
Layden	0.0986715
Yadav	0.0983171
Vogts	0.0963211
Cowens	0.0948908
Kazhegeldin	0.0942072
Sanan	0.0940211
Villalonga	0.0937814
Nano	0.0935678
Ritter	0.0924989
McGreevey	0.0906157
Hoddle	0.0899382
Samaranch	0.0894604
Skuratov	0.0890354
Karadzic	0.0887409
Condit	0.0885639
Bhattarai	0.088004
Rivlin	0.0874689
Koehler	0.0869655
Gartner	0.0869202
Neeman	0.086705
Beckenbauer	0.0861921
McColl	0.0859597
Schott	0.0854532
Camacho	0.0853417
Vieira	0.0849816
Montiel	0.0845792
Neuheisel	0.084306
Wiseman	0.0842458
Cavallo	0.0841286
Izetbegovic	0.0833077
"Jack Valenti"	0.0825935
Thayer	0.0822366
Bakaly	0.0821972
"Jack Welch"	0.0818391
Safir	0.0816713
BARNICLE	0.081632
Coia	0.0812185
Koirala	0.081148
"Robert E. Rubin"	0.0804673
Dudayev	0.0800347
Slatkin	0.0798188
Bolger	0.0795323
Leedham	0.0795269
Lafontaine	0.0792701
"Bora Milutinovic"	0.0792503
Papon	0.0792387
Ozawa	0.0792079
Bucaram	0.0789741
Druckenmiller	0.0785962
Deri	0.0780683
Bisek	0.0780214
Dunlap	0.0779694
Symington	0.0778489
Chevenement	0.0776632
"Frank Joklik"	0.0776597
Eisner	0.0776177
Schottenheimer	0.07751
Baca	0.0769666
Yoo	0.0768237
Roh	0.0766176
Weizman	0.0766
Warshaw	0.0765125
Zeroual	0.0759674
Kagalovsky	0.0755824
"Oskar Lafontaine"	0.0754744
Sununu	0.0752989
Penders	0.0752958
Jager	0.0749629
Choate	0.0748235
Rosenblatt	0.0745322
Laudrup	0.0745055
Naumann	0.074435
Duisenberg	0.0741707
Verney	0.0741247
Arbour	0.0741071
Esrey	0.0739392
Mullin	0.0729695
Musa	0.0729339
"Wolfgang Schaeuble"	0.0729129
Sassa	0.072808
"Robert Rubin"	0.072739
Chubais	0.0727261
Virenque	0.0727184
Seizinger	0.0727057
Ekeus	0.0720711
McMullen	0.071962
Harrick	0.071849
Mohajerani	0.0718241
craven	0.0718187
"Chuck Daly"	0.071722
Sather	0.0715155
Savon	0.0713924
Kambanda	0.0710585
Montalvo	0.0709996
Rao	0.0707854
Wadsworth	0.0707333
Suharto	0.0704558
Meskini	0.0698333
"Jack Gargan"	0.0695228
Elliot	0.0691152
D'Alessandro	0.0690902
Samper	0.0688817
"Juan Antonio Samaranch"	0.0688543
Trudeau	0.0688129
Eskew	0.0684198
Gravano	0.0683246
Banharn	0.0681947
Chmura	0.0681131
Taubman	0.0680572
silber	0.0679786
Huizenga	0.067896
"Lou Dobbs"	0.0678584
Imperatori	0.067801
Meciar	0.0677875
Ovitz	0.0677458
"David Palmer"	0.0676728
"P.V Narasimha Rao"	0.0676719
Kostunica	0.0676603
Karpov	0.0676519
Borodin	0.0675865
Wendt	0.067578
"Tony Coelho"	0.067561
Mobutu	0.0674178
Guei	0.0668412
Rhee	0.0667687
Mikhailov	0.066755
Golota	0.0666838
Stepashin	0.0666299
Corzine	0.0666191
Feldman	0.0666142
"Congressional Democrats"	0.0665289
Wilkens	0.0664574
Clemente	0.0663081
Noriega	0.0661143
Kasparov	0.0660453
Claes	0.0659939
"Steve Case"	0.0657747
Blackmun	0.0657237
Sarid	0.0656237
"Richie Phillips"	0.0655476
Nasser	0.0655379
Boyle	0.0655071
Dumas	0.0653666
Kaunda	0.0653624
"Joao Havelange"	0.0653559
Nebiolo	0.0653193
Monson	0.0651982
Koch-Weser	0.0651703
Hanley	0.0650803
"Tina Brown"	0.065014
Bogle	0.065012
Ralston	0.0649227
Trujillo	0.064828
Katzenberg	0.0645301
Isakson	0.0643921
Vasquez	0.0643722
Kalejs	0.0640711
Wiranto	0.0640136
Leyland	0.0640008
Merlino	0.063971
Laperriere	0.0639482
Rubin	0.0639181
Gormley	0.0637883
Weill	0.0637761
Drabinsky	0.0637081
Berezovsky	0.0636631
"Kim Jong-pil"	0.063603
Grbac	0.0633497
Szabo	0.0633077
Mordechai	0.0632968
Spector	0.0632901
Trulock	0.063258
"Rick Neuheisel"	0.0632411
Perec	0.0632137
Milbury	0.0631602
))
(Catalan (desc 1525.16) (sims
BASQUE	0.17708
Montenegrin	0.142554
Latvian	0.121716
Breton	0.106051
Estonian	0.10489
Portuguese	0.0992693
Bengali	0.0966648
Kurdish	0.0947601
Kazak	0.0944075
Cantonese	0.0917199
Azeri	0.0916364
Swahili	0.0882289
Welsh	0.0878978
Ukrainian	0.0878889
Sinhala	0.087854
Scottish	0.0861274
Flemish	0.085539
Belarusian	0.0852612
"Irish Catholic"	0.0842591
Berber	0.0838105
Provencal	0.0820859
Uzbek	0.0816948
Slovak	0.0813017
Ingush	0.0803507
Kyrgyz	0.080151
Zhuang	0.0780234
Kashmiri	0.0778862
Armenian	0.0774326
"Western European"	0.0773538
Javanese	0.0772151
Uygur	0.0771752
Lithuanian	0.0770253
Tibetan	0.0758946
"Middle Eastern"	0.0720765
Khmer	0.0718419
Finnish	0.070331
Tajik	0.0692993
"Puerto Rican"	0.0684852
Zulu	0.0684068
Catalonia	0.0675814
Kiswahili	0.0675116
Tex-Mex	0.067299
Icelandic	0.0670791
Zairian	0.0663908
Swedish	0.0656797
pan-Arab	0.0653386
Kazakh	0.0650972
center-right	0.0642808
Belarussian	0.0642549
Danish	0.0634331
Abkhazian	0.0622049
Arabic	0.0615654
Kosovar	0.0613391
Hindi	0.0613318
Ivorian	0.0612081
Chechen	0.0611829
"World Championship"	0.0606018
"South American"	0.0601967
"Northern Irish"	0.0601774
Azerbaijani	0.0591206
hardline	0.0587643
"American Football League"	0.0586579
Moldovan	0.0583781
MBNA	0.0582785
Maltese	0.0574153
Mandarin	0.0571692
Japanese-American	0.0570966
special-effects	0.0568568
CAA	0.0567412
Hawaiian	0.0556142
"Herri Batasuna"	0.0544326
Amazonian	0.053656
"investment banking"	0.0531969
"Kosovo Albanian"	0.0531204
Manchu	0.0527947
Camerounian	0.0514435
Rwandese	0.0513944
Hani	0.0508677
Yorkshire	0.0506337
Evansville	0.0503708
Timorese	0.0500768
RPR	0.0497826
Turkmen	0.0495023
Hausa	0.0492411
"half a dozen"	0.0491729
"consumer product"	0.0487453
Okinawan	0.0486294
Lakas-NUCD	0.0480485
"Far Eastern"	0.0480199
"Division I-AA"	0.0474155
"Kosovar Albanian"	0.0472992
"Eastern European"	0.0472594
trapeze	0.0472177
"Janata Dal"	0.0471224
Maasai	0.047053
"Lower Saxony"	0.0464688
"up to five"	0.0463064
"Bosnian Muslim"	0.0462481
"West African"	0.0459759
Ecuadorean	0.0457267
oceanside	0.0455609
"Chinese Olympic"	0.0454898
Miao	0.0453544
C-USA	0.0452615
Gesher	0.0452313
Ukranian	0.0447688
Somaliland	0.044709
"Italian League"	0.0445885
"Rotary International"	0.0445556
Iroquois	0.0441063
Yiddish	0.0440947
Tatar	0.044055
shaken	0.0437247
"Israeli Arab"	0.0434589
Slovakian	0.0433786
"Chinese Army"	0.0431813
Bundesliga	0.0431717
powerboat	0.0431683
CHEROKEE	0.0427841
Imola	0.042769
"Democratic Left"	0.0427194
Gaelic	0.0424999
Croat	0.0423794
Laban	0.0422415
alumnae	0.0420061
"National League West"	0.0419775
UML	0.0418431
"Baby Bell"	0.0417327
Savoy	0.0417134
Thirty-six	0.0413549
"Southeast Asian"	0.0412809
Aramaic	0.04124
Afrikaans	0.041202
"Greek Cypriot"	0.0410945
"Northern League"	0.0408328
UNIP	0.0404889
ragtag	0.0401285
Zajedno	0.040086
))
(Catalanotto (desc 1038.09) (sims
Renteria	0.227445
Rolen	0.224111
Cirillo	0.194055
DeShields	0.193927
Lankford	0.190571
Abreu	0.188343
Nevin	0.180609
Lofton	0.172317
Dunston	0.170193
Womack	0.169937
Vidro	0.169364
Burks	0.16907
"David Ortiz"	0.167603
Fryman	0.166998
Fullmer	0.166828
Kapler	0.165681
Biggio	0.164154
"Rondell White"	0.163765
Surhoff	0.163209
Hollins	0.162815
"Eric Owens"	0.162686
Burnitz	0.162025
"Derrek Lee"	0.160695
"Marvin Benard"	0.160627
"Deivi Cruz"	0.15898
Aurilia	0.158238
Velarde	0.157844
Meares	0.157419
Brogna	0.155495
Alfonzo	0.154182
Randa	0.153861
Erstad	0.153699
DiSarcina	0.152933
"Mark Loretta"	0.152674
Sexson	0.152024
Frye	0.152003
Grudzielanek	0.151541
Agbayani	0.151426
Alicea	0.150121
Saenz	0.150103
"Damian Jackson"	0.149941
Higginson	0.147831
"Jeff Cirillo"	0.147154
Olerud	0.146594
Glaus	0.146127
"Matt Lawton"	0.145997
"Damian Miller"	0.145661
Batista	0.143807
Bautista	0.143534
Spiers	0.143478
Bordick	0.141512
"Tony Eusebio"	0.141169
Easley	0.141161
Ordonez	0.140498
Palmeiro	0.140495
"Devon White"	0.140182
"Keith Lockhart"	0.139352
"Jay Bell"	0.138239
Elster	0.137925
"Rich Becker"	0.137573
"Carlos Lee"	0.137553
"Eric Young"	0.137211
Bichette	0.137152
"Jose Guillen"	0.137117
"Fernando Vina"	0.136927
Veras	0.136065
Bagwell	0.135787
Karros	0.13571
Vizcaino	0.13528
Klesko	0.134923
Vizquel	0.134602
"John Vander Wal"	0.134375
"Benny Agbayani"	0.134151
Glanville	0.13376
Delgado	0.133515
Cedeno	0.1334
Tejada	0.133029
"Pokey Reese"	0.132955
Bergeron	0.132921
"Marquis Grissom"	0.132779
"Lance Johnson"	0.132405
Mabry	0.132259
"Doug Glanville"	0.131848
"Tony Womack"	0.131773
"Joe McEwing"	0.131583
"Scott Rolen"	0.130977
Cordero	0.130961
"Joe Randa"	0.130902
"Marty Cordova"	0.130087
"J.T Snow"	0.130084
"Russ Johnson"	0.13003
"Kevin Young"	0.12995
"Darin Erstad"	0.129074
"Jose Valentin"	0.128143
Alou	0.128031
"Wally Joyner"	0.12787
"Mark Kotsay"	0.127863
"Juan Encarnacion"	0.127564
"Orlando Palmeiro"	0.127012
"Warren Morris"	0.126296
"Neifi Perez"	0.126128
"Luis Castillo"	0.125568
"Bill Spiers"	0.125037
Offerman	0.124738
"Ruben Rivera"	0.124572
Hatteberg	0.124254
"Manny Alexander"	0.124248
"Gregg Jefferies"	0.124114
Gant	0.123595
Zeile	0.12358
"Herbert Perry"	0.123548
McGriff	0.123497
Konerko	0.123009
"Bruce Aven"	0.122895
"Travis Fryman"	0.122815
"Jose Vidro"	0.122772
"Jason Kendall"	0.122681
"Preston Wilson"	0.122661
Hollandsworth	0.122295
"Mike Lieberthal"	0.122005
"Dave Hansen"	0.121809
"Kurt Abbott"	0.121569
"Troy Glaus"	0.121209
"Mickey Morandini"	0.121014
"David Bell"	0.120882
Caminiti	0.120716
"Charlie Hayes"	0.12068
Canseco	0.120673
Knoblauch	0.120626
"Jose Offerman"	0.120541
Furcal	0.120447
"Eric Karros"	0.120391
"Tom Goodwin"	0.120075
"Geoff Jenkins"	0.119814
"Johnny Damon"	0.119344
"Cliff Floyd"	0.119007
Eusebio	0.118782
Garciaparra	0.118761
"Henry Rodriguez"	0.118667
Segui	0.118478
Stumpel	0.118358
"Scott Spiezio"	0.117865
"Mike Sweeney"	0.117816
Guillen	0.117807
"Luis Alicea"	0.117686
Sojo	0.117644
"Matt Franco"	0.117448
"Adam Kennedy"	0.117267
"Brian Hunter"	0.116825
"Luis Gonzalez"	0.116782
"Dante Bichette"	0.116604
"Phil Nevin"	0.11655
Boone	0.116419
"Garret Anderson"	0.11631
"Todd Pratt"	0.116
"Vladimir Guerrero"	0.115794
"Todd Hollandsworth"	0.115742
"Paul Konerko"	0.115731
McLemore	0.115514
Lieberthal	0.115456
"Andy Fox"	0.115454
Leyritz	0.115446
"Dmitri Young"	0.115371
"Bengie Molina"	0.115114
"Gabe Kapler"	0.114795
Mora	0.114506
"Todd Hundley"	0.114482
"Gary DiSarcina"	0.113785
"Travis Lee"	0.113718
Stinnett	0.112517
Ripken	0.112396
"David Dellucci"	0.112197
"Dave Martinez"	0.111997
"Tony Batista"	0.111978
"Alex Gonzalez"	0.111975
"Eddie Taubensee"	0.111907
"Miguel Tejada"	0.111662
Alomar	0.111552
"Ray Durham"	0.111523
"Rico Brogna"	0.111364
"Bill Mueller"	0.111327
"Jeff Huson"	0.111281
"Sean Casey"	0.111269
"Ricky Gutierrez"	0.111023
"Mike Lamb"	0.110751
Tatis	0.110645
Daubach	0.109956
"John Olerud"	0.109068
Cabrera	0.109064
Baerga	0.109029
"Harold Baines"	0.108984
"Richard Hidalgo"	0.108875
"Matt Walbeck"	0.108819
"Jeffrey Hammonds"	0.108084
"Tim Salmon"	0.108076
Giambi	0.107976
"Desi Relaford"	0.107893
"Kenny Lofton"	0.107866
"Jeff Kent"	0.107831
Ledee	0.107543
"Glenallen Hill"	0.107438
"Brian Giles"	0.107412
"Bobby Higginson"	0.107239
"Sandy Alomar"	0.106933
"Mike Cameron"	0.106797
"Rey Sanchez"	0.106715
"Mike Lansing"	0.10643
"Brady Anderson"	0.106295
"Jeff Conine"	0.1062
"Ryan Klesko"	0.106017
"Walt Weiss"	0.105907
"Rickey Henderson"	0.105865
Gwynn	0.105796
"Chris Gomez"	0.105644
"Dean Palmer"	0.105515
"Lenny Harris"	0.105471
"Royce Clayton"	0.105437
"Darren Lewis"	0.105392
"B.J Surhoff"	0.105291
"Wilton Veras"	0.105072
"Quinton McCracken"	0.104737
"Jim Thome"	0.103986
Monahan	0.103806
"Brian McRae"	0.103592
"Danny Bautista"	0.103581
"Rich Aurilia"	0.103327
"Chipper Jones"	0.103325
"Kelly Stinnett"	0.103237
"Miguel Cairo"	0.102723
Counsell	0.102674
"Bobby Abreu"	0.10266
"Jason Giambi"	0.102534
"Ron Coomer"	0.102438
"Mike Benjamin"	0.102423
Valentin	0.102351
Dellucci	0.102179
"Mike Lowell"	0.101969
"Randy Velarde"	0.101913
Castilla	0.10186
"Tim Bogar"	0.101765
Ramirez	0.101738
"Barry Larkin"	0.101567
"Cristian Guzman"	0.101483
"Roger Cedeno"	0.101269
Beltran	0.100951
"Stan Javier"	0.100801
"Derek Bell"	0.100308
"Todd Helton"	0.100112
))
(Catalina (desc 1327.35) (sims
Katy	0.0690207
Chesterfield	0.0664378
"high bar"	0.0624982
Dijon	0.0605948
Wishbone	0.0565017
alicia	0.0544385
Amelia	0.0530415
Irina	0.0500531
Marlene	0.0498785
Aris	0.0498498
Brandi	0.0483822
Likhovtseva	0.0480529
Christina	0.0456692
Raoux	0.0455727
Timor	0.0453697
Nana	0.0452171
Andrei	0.0451198
Dosedel	0.0447847
Tarango	0.0447668
Berasategui	0.0443522
Kremer	0.0442871
Blanco	0.043602
"American Michael Chang"	0.0435339
"Western Pacific"	0.0435331
Dragomir	0.0430065
"American Chanda Rubin"	0.0429407
MOE	0.0429091
Santoro	0.0427601
Phillip	0.0424038
Elena	0.0421915
Stolle	0.0421421
"South Atlantic"	0.0420297
Fila	0.0418086
crotch	0.0417574
"prickly pear"	0.0413902
"Abu Musa"	0.0410128
Lucic	0.0408122
Lindland	0.0404183
"wild rice"	0.0402815
"Lake Charles"	0.040018
))
("Catalina Cristea" (desc 1473.21) (sims
"Adrian Voinea"	0.491879
"Andrei Pavel"	0.454913
"Ruxandra Dragomir"	0.417383
"Anne Kremer"	0.39108
"Franco Squillari"	0.370209
"Nathalie Dechy"	0.353207
"Asa Carlsson"	0.352493
"Mariano Zabaleta"	0.351477
"Sarah Pitkowski"	0.342211
"Magui Serna"	0.340679
"Florencia Labat"	0.33671
"Andreas Vinciguerra"	0.33184
"Paola Suarez"	0.330804
"Barbara Rittner"	0.329895
"Kim Clijsters"	0.328214
"Joannette Kruger"	0.326431
"Neville Godwin"	0.325594
"Albert Portas"	0.323687
"Alexandra Fusai"	0.322296
"Arnaud Di Pasquale"	0.32134
"Nicole Pratt"	0.316355
"Rainer Schuttler"	0.315338
"Ramon Delgado"	0.313906
"Silvia Farina"	0.311914
"Hernan Gumy"	0.310373
"Cara Black"	0.305342
"Nicolas Escude"	0.304645
"Marcelo Filippini"	0.303538
"Xavier Malisse"	0.302028
"Younes El Aynaoui"	0.301693
"Sabine Appelmans"	0.301098
"Juan Antonio Marin"	0.299892
"Steve Campbell"	0.297695
"Sjeng Schalken"	0.296606
"Richard Fromberg"	0.296119
"Christian Ruud"	0.294989
"Magdalena Maleeva"	0.294038
"Tara Snyder"	0.293585
"Galo Blanco"	0.291946
"Naoko Sawamatsu"	0.287657
"Tatiana Panova"	0.282623
"Jerome Golmard"	0.282522
"Judith Wiesner"	0.281047
"Irina Spirlea"	0.280514
"Grant Stafford"	0.280354
"Olga Barabanschikova"	0.274964
"Amy Frazier"	0.27427
"Mariano Puerta"	0.273978
"Renzo Furlan"	0.270805
"Vincent Spadea"	0.270394
"Elena Dementieva"	0.269838
"Kveta Hrdlickova"	0.269756
"Ai Sugiyama"	0.268991
"Barbara Schwartz"	0.268886
"Sebastien Grosjean"	0.268593
"Marcos Ondruska"	0.268495
"Miriam Oremans"	0.268481
"Sargis Sargsian"	0.26772
"Michael Tebbutt"	0.2674
"Kristie Boogert"	0.265339
"Arnaud Clement"	0.263424
"Max Mirnyi"	0.261256
"Fernando Meligeni"	0.260276
"Tamarine Tanasugarn"	0.25969
"Arnaud Boetsch"	0.258083
"Filip Dewulf"	0.257515
"Andrew Ilie"	0.257472
"Davide Sanguinetti"	0.254195
"Rita Grande"	0.254114
"Anne-Gaelle Sidot"	0.253735
"Els Callens"	0.251107
"Mikael Tillstrom"	0.249673
"Jonathan Stark"	0.249269
"Roger Federer"	0.247331
"Kenneth Carlsen"	0.247017
"Wayne Black"	0.24683
"Carlos Costa"	0.245726
"Jeff Tarango"	0.245368
"Guillaume Raoux"	0.244618
"Barbara Paulus"	0.238689
"Francisco Clavet"	0.237676
"Javier Sanchez"	0.23706
"Elena Likhovtseva"	0.236507
"Sandrine Testud"	0.236273
"Gianluca Pozzi"	0.232653
"Yayuk Basuki"	0.232311
"Adriana Gersi"	0.231897
"Barbara Schett"	0.231679
"Hicham Arazi"	0.23155
"Alberto Berasategui"	0.231314
"Corina Morariu"	0.230388
"Lisa Raymond"	0.229426
"Sebastien Lareau"	0.227987
"Karim Alami"	0.223944
"Andrea Gaudenzi"	0.223761
"Denisa Chladkova"	0.220997
"Scott Draper"	0.220912
"Rika Hiraki"	0.220794
"Janet Lee"	0.219666
"Fabrice Santoro"	0.219185
"Leander Paes"	0.218647
"Jason Stoltenberg"	0.218071
"Magnus Gustafsson"	0.212812
"Patty Schnyder"	0.212525
"Dennis van Scheppingen"	0.209605
"Li Fang"	0.209156
"Mark Knowles"	0.208767
"David Prinosil"	0.208219
"Vince Spadea"	0.208183
"Natasha Zvereva"	0.20649
"Andrei Medvedev"	0.20605
"Mirjana Lucic"	0.205707
"Brett Steven"	0.204929
"MaliVai Washington"	0.204511
"Daniel Vacek"	0.204508
"Brenda Schultz-McCarthy"	0.203744
"Dominique Van Roost"	0.203301
"Daniel Nestor"	0.202507
"Marat Safin"	0.201116
"Chanda Rubin"	0.20077
"Marc Rosset"	0.198863
"Sergi Bruguera"	0.19818
"Richey Reneberg"	0.197445
"Julian Alonso"	0.196939
"Paul Haarhuis"	0.196548
"Justin Gimelstob"	0.196412
"Alex O'Brien"	0.195638
"Slava Dosedel"	0.195288
"Juan Carlos Ferrero"	0.194816
"Tommy Haas"	0.193746
"Martin Damm"	0.193701
"Nicolas Lapentti"	0.193571
"Bohdan Ulihrach"	0.193363
"Wayne Ferreira"	0.193359
"Todd Woodbridge"	0.192405
"Kimberly Po"	0.190577
"Chris Woodruff"	0.189668
"Wayne Arthurs"	0.189495
"Jan-Michael Gambill"	0.189365
"John Van Lottum"	0.188191
"Jiri Novak"	0.186007
"Karina Habsudova"	0.184793
"Thomas Johansson"	0.182354
Siemerink	0.179519
"Paul Goldstein"	0.178423
"Julie Halard-Decugis"	0.177411
"Sandra Kleinova"	0.17694
"Magnus Larsson"	0.176022
"Felix Mantilla"	0.175706
"Alberto Costa"	0.175681
"Olivier Delaitre"	0.175658
Swardt	0.17537
"Amelie Mauresmo"	0.174761
"Conchita Martinez"	0.173987
"Lori McNeil"	0.173573
"Iva Majoli"	0.173383
"Nicolas Kiefer"	0.172517
"Alexandra Stevenson"	0.172145
"Byron Black"	0.171416
"Mark Woodforde"	0.170938
"Henrieta Nagyova"	0.169628
"Andres Gomez"	0.169501
"Karol Kucera"	0.169209
"Amanda Coetzer"	0.168519
"Jelena Dokic"	0.168367
"Jonas Bjorkman"	0.168081
"Dominik Hrbaty"	0.167531
"Nicklas Kulti"	0.167312
"Partizan Belgrade"	0.167271
Nacional	0.166887
"Jennifer Capriati"	0.166714
"Anke Huber"	0.166665
"Mahesh Bhupathi"	0.166115
"Magnus Norman"	0.164243
Kroslak	0.164131
"Mary Joe Fernandez"	0.163836
"Albert Costa"	0.162641
"Wang Shi-Ting"	0.161228
Independiente	0.160293
"Kimiko Date"	0.154603
"Todd Martin"	0.152367
"Nathalie Tauziat"	0.152173
"Helena Sukova"	0.151059
"Sandon Stolle"	0.150589
"Diego Nargiso"	0.150276
"Guy Forget"	0.150121
Dragomir	0.148516
"Katarina Studenikova"	0.144835
"Jim Courier"	0.141599
"Thomas Muster"	0.140719
"Richard Krajicek"	0.139744
"Gabriela Szabo"	0.139482
"Michael Stich"	0.138683
"Michael Chang"	0.138464
"Thomas Enqvist"	0.137665
Ulihrach	0.137574
"Mats Wilander"	0.136681
Zamalek	0.136227
"Pat Rafter"	0.135022
"Arantxa Sanchez-Vicario"	0.134934
"Mary Pierce"	0.134428
"Gustavo Kuerten"	0.134209
"Larisa Neiland"	0.133649
"Petr Korda"	0.132841
"Stefan Edberg"	0.132165
"Carlos Moya"	0.126926
"Yevgeny Kafelnikov"	0.126536
"Goran Ivanisevic"	0.12528
"Olympique Marseille"	0.124673
Olimpia	0.124449
"Greg Rusedski"	0.12433
"Slovak Republic"	0.123492
"Mark Philippoussis"	0.121781
"Cedric Pioline"	0.119134
Anderlecht	0.118427
"Boca Juniors"	0.118172
"David Rikl"	0.11727
Besiktas	0.117151
"Slavia Prague"	0.117022
Habsudova	0.116073
"Tim Henman"	0.115925
"Alex Corretja"	0.115785
"Marcelo Rios"	0.112484
Meligeni	0.112274
"Colo Colo"	0.111048
"Martin Lee"	0.110519
Schalken	0.10938
"Jana Novotna"	0.109108
"Lindsay Davenport"	0.108316
x@@	0.10798
"Martina Hingis"	0.107929
"Arantxa Sanchez Vicario"	0.10784
"Dallas Burn"	0.10778
"Serena Williams"	0.107454
Kucera	0.107098
"Rodney Eyles"	0.106638
Bjorkman	0.106272
Haarhuis	0.106237
Penarol	0.105076
"VfB Stuttgart"	0.104689
"Celta Vigo"	0.104379
Dosedel	0.104047
"Scarlet Knights"	0.104018
"Le Defi Francais"	0.103959
"Anna Kournikova"	0.103819
"Sturm Graz"	0.103665
Stoltenberg	0.10261
"Camilla Martin"	0.101801
Brondby	0.101651
"Chen Jing"	0.101365
Halard-Decugis	0.100555
Panathinaikos	0.100485
"Lleyton Hewitt"	0.100089
))
(catalog (desc 55237.4) (sims
catalogue	0.198309
brochure	0.157581
booklet	0.127985
collection	0.12008
book	0.119927
store	0.11589
magazine	0.113843
guidebook	0.108143
cookbook	0.106842
newsletter	0.10505
pamphlet	0.104818
database	0.104726
Encyclopedia	0.104322
directory	0.102491
guide	0.0999618
video	0.0977437
manual	0.0972883
advertisement	0.0942653
merchandise	0.0937543
page	0.0936753
copy	0.0936047
menu	0.0930757
publication	0.092793
"mail order"	0.092396
dictionary	0.0917389
outlet	0.0913059
AD	0.0910328
edition	0.0910236
"yellow pages"	0.0892984
textbook	0.0881468
bookstore	0.0874095
site	0.085484
shop	0.0851278
list	0.0850572
handbook	0.0845933
text	0.0844776
poster	0.0838427
album	0.0835215
journal	0.0833757
library	0.0831368
archive	0.0819017
document	0.0818639
"department store"	0.0816589
CD	0.0815572
listing	0.081368
calendar	0.0813405
photograph	0.0811102
print	0.0807184
"retail store"	0.0803755
retailer	0.0803706
supermarket	0.0802976
yearbook	0.0797194
diary	0.0788857
"greeting card"	0.0786275
paper	0.0785173
file	0.0772217
manuscript	0.0770624
Mail	0.0764723
version	0.0762834
"reference book"	0.0760433
gallery	0.0755309
postcard	0.0748504
map	0.0739871
auction	0.0737902
CD-ROM	0.0736906
Recording	0.0736238
article	0.073362
boutique	0.073288
software	0.0732552
"phone book"	0.0732043
biography	0.0730372
paperback	0.0729475
kit	0.0728274
exhibit	0.0723652
material	0.0723453
display	0.0723373
newspaper	0.0722663
toy	0.0722074
prospectus	0.0721593
card	0.0720681
flier	0.0720212
Advertising	0.0717917
mailings	0.0711258
web	0.0709233
Bible	0.0709104
Anthology	0.070582
"reference work"	0.0703298
box	0.0702372
recipe	0.0700225
"chain store"	0.0698235
literature	0.069386
photo	0.0691241
"gift shop"	0.0687969
label	0.0686062
tome	0.0683945
compilation	0.0683023
printout	0.0682565
item	0.0681759
Exhibition	0.067912
chart	0.0677695
superstore	0.0675138
package	0.06705
coupon	0.0670254
Compendium	0.066941
sale	0.0666569
email	0.0666559
Portal	0.0666432
section	0.0664992
Internet	0.066476
offering	0.0664448
Website	0.0664065
product	0.0663969
film	0.0662884
letter	0.0662437
inventory	0.0658223
fax	0.0657904
variety	0.0657598
ticket	0.065724
transcript	0.0656915
seller	0.065587
"flea market"	0.065547
channel	0.0654991
notebook	0.065344
array	0.0653169
picture	0.0652998
movie	0.065106
grocery	0.0645284
application	0.0644673
music	0.0643104
essay	0.0643057
service	0.0642471
tape	0.0642077
Computer	0.0641569
information	0.0641194
chain	0.0640716
packaging	0.0639326
apparel	0.0639111
novel	0.0637545
content	0.0635476
piece	0.0635448
subscription	0.0635401
museum	0.0633936
script	0.0627901
periodical	0.0625798
registry	0.0625122
commercial	0.0622846
format	0.0620377
Entertainment	0.0619757
restaurant	0.0618237
"TV guide"	0.0613649
"comic book"	0.0612198
story	0.0611022
design	0.0609034
series	0.0604009
memoir	0.0603432
programming	0.0601218
assortment	0.0600861
model	0.0600609
column	0.0600116
scrapbook	0.0600054
"advertising campaign"	0.0599828
"promotional material"	0.0598302
cartoon	0.0597675
"computer game"	0.0597579
marketing	0.0596765
tabloid	0.0595211
account	0.0595095
bag	0.059298
garden	0.0592714
"Sports Illustrated"	0.0592551
"specialty store"	0.0590779
note	0.0589977
art	0.0587918
"hardware store"	0.0586744
business	0.0585976
cassette	0.0585153
wardrobe	0.0584727
Warehouse	0.058463
packet	0.0584594
showroom	0.0581993
furniture	0.0581718
stationery	0.0580936
"bulletin board"	0.0580917
Clothing	0.058089
fashion	0.0580032
translation	0.0578991
dealer	0.0578894
autobiography	0.0578883
painting	0.0578446
summary	0.057796
image	0.0577118
billboard	0.0575776
vendor	0.0573817
questionnaire	0.0573567
videotape	0.0572959
drawing	0.0572615
portfolio	0.0570944
room	0.0570449
leaflet	0.0569879
hardware	0.0569875
))
(catalogue (desc 9219.53) (sims
catalog	0.198309
brochure	0.0933402
booklet	0.0918161
directory	0.0859438
"yellow pages"	0.0789759
compilation	0.0781587
Encyclopedia	0.077906
database	0.0687916
newsletter	0.0680383
"phone book"	0.0674223
pamphlet	0.0671627
"reference work"	0.0635839
guidebook	0.0623707
"reference book"	0.0622751
litany	0.0609077
Anthology	0.0592846
"telephone directory"	0.0584469
manual	0.0580263
dictionary	0.0575239
dossier	0.0567539
summary	0.0564079
yearbook	0.0559907
"electronic database"	0.0552327
handbook	0.0550934
Compendium	0.0549135
diary	0.054765
prospectus	0.0543525
Clothier	0.0531774
edition	0.05311
reissue	0.0529636
"application form"	0.0523048
thesaurus	0.0512262
textbook	0.0509167
glossary	0.050536
scrapbook	0.0504744
"mail order"	0.050266
"new edition"	0.0502113
refutation	0.0501057
overview	0.0496505
"hearing aid"	0.0496466
archive	0.0491732
assortment	0.0491123
printout	0.0488917
manuscript	0.0486049
"telephone book"	0.0486027
"line of products"	0.0485312
"floor plan"	0.0484286
annex	0.0481268
CD-ROM	0.0479228
menu	0.0473912
"legal brief"	0.0470157
"promotional material"	0.0468687
packaging	0.0467506
tome	0.0465269
"order form"	0.0462738
"sports section"	0.0462696
listing	0.0460877
cookbook	0.0457047
journal	0.0455041
trove	0.0454577
timeline	0.0453999
documentation	0.0453784
"treasure trove"	0.0452351
Supercenters	0.0452039
registry	0.0448402
transcript	0.04481
treatise	0.0447727
memoir	0.0444306
subgenre	0.0442293
seller	0.044167
downloading	0.043709
"master plan"	0.0433158
plethora	0.0430529
array	0.0428967
"charge card"	0.0427169
"natural state"	0.04265
databank	0.0426288
panoply	0.0424324
tutorial	0.0422002
blueprint	0.0422
Bibliography	0.042139
biography	0.0421038
calligraphy	0.0420209
kiosk	0.0417685
vending	0.0415921
playlists	0.0414386
"department store"	0.0412755
inventory	0.0409569
"medical record"	0.0408454
tracking	0.0408355
SAMPLER	0.0408291
"admission fee"	0.0406842
"birthday card"	0.0406668
spiel	0.040636
critique	0.0406242
"Action Plan"	0.0405887
retrospectives	0.0405722
autobiography	0.0404476
periodical	0.0403964
repertory	0.0403236
travelogue	0.040313
invoice	0.040208
aggregation	0.0401726
))
(Catalonia (desc 1660.88) (sims
Puglia	0.172069
Flanders	0.140835
Umbria	0.112141
Kaliningrad	0.111749
Krasnoyarsk	0.105596
Burgos	0.10252
Sakhalin	0.093437
Abkhazia	0.0913041
Tigray	0.0874134
Drenica	0.0870856
Nagorno-Karabakh	0.0841991
Criterium	0.0826852
Vojvodina	0.0818562
"North Ossetia"	0.0798363
Alsace	0.0771741
Somaliland	0.0748033
"Inner Mongolia"	0.073637
Mtwara	0.0734155
"Eastern Slavonia"	0.0732039
Brittany	0.0727589
Novosibirsk	0.0718811
Kigoma	0.0694009
Decani	0.0692867
Calabria	0.0679488
Catalan	0.0675814
"French Alps"	0.0669419
Ingushetia	0.0667135
Khabarovsk	0.0651319
Putumayo	0.0638749
Langkawi	0.0636365
Tanga	0.0634545
Daghestan	0.0628364
"North Caucasus"	0.0627941
"Lower Saxony"	0.0626982
Piedmont	0.0616138
Golmud	0.0608768
Murmansk	0.0605927
Kilimanjaro	0.0601309
"Niger Delta"	0.0596553
"Busch Series"	0.0593871
"Mount Lebanon"	0.059198
on-and-off	0.0591145
"London Marathon"	0.0583364
"first cup"	0.0580533
Ningxia	0.0577605
"Suva Reka"	0.0573446
Caprivi	0.0559303
"Golden Triangle"	0.0559193
Antioquia	0.0559101
"Golden League"	0.0546731
Iditarod	0.0543338
"Rift Valley Province"	0.0530187
"Diamond Mountain"	0.0529616
"Pearl River Delta"	0.0528417
Posoltega	0.0524407
Katanga	0.0522216
Chiapas	0.0519854
Gujarat	0.0513469
Dunkirk	0.0513163
"over @@@ kilometers"	0.0509939
"Anhui Province"	0.050991
Badme	0.0505879
Moshi	0.050328
Mwanza	0.0502537
Ruhengeri	0.0500178
Mara	0.0496722
Morogoro	0.0493858
Kurdistan	0.0493681
Uvira	0.0493261
Hesse	0.0492856
"Mississippi Delta"	0.049228
Balkan	0.0488574
"National League West"	0.048641
"West Timor"	0.0482988
Corsica	0.0480471
Qinghai	0.0478751
Patagonia	0.0478321
"Hunan Province"	0.0475959
"AFC West"	0.0475073
"Gold Coast"	0.0470541
"National League Central"	0.0468713
Bekaa	0.046676
Pamplona	0.0466335
Hoogenband	0.0463784
"Inner Mongolia Autonomous Region"	0.0460214
"British Grand Prix"	0.0460208
"West Los Angeles"	0.0453414
"East Africa"	0.0452604
Sol	0.0446164
"Far Eastern"	0.0445639
Attica	0.0445244
Ghent	0.0445172
Vasquez	0.0443798
"South Asian"	0.0441631
"Dead Sea"	0.043932
Vedeno	0.0437617
Guizhou	0.0437571
"World Championship"	0.0437039
Mpumalanga	0.0436874
Macau	0.0436809
"Pacific Rim"	0.0434335
"Busch Grand National"	0.0433654
Mekong	0.0433057
"national capital"	0.0433035
Imola	0.0431959
Brickyard	0.0427664
Jiangxi	0.0427243
Cochabamba	0.0426393
F-@	0.0425701
powerboat	0.042545
self-destructed	0.0424567
"El Guerrouj"	0.0422218
Seizinger	0.0421818
"American League East"	0.0421575
"Liu Limin"	0.0421559
Lijiang	0.042066
Klim	0.0420456
Heilongjiang	0.0420149
Kyushu	0.0419389
Narayanan	0.0418426
"American League West"	0.0417959
Assisi	0.0415972
"Victory Lane"	0.0415115
Himalayas	0.0414774
Stillwater	0.0414692
"SEC East"	0.0414112
Aceh	0.0410861
"Oak Tree"	0.0410651
wildcard	0.0410095
"won six"	0.0408006
"West Germany"	0.0406375
"Ningxia Hui Autonomous Region"	0.0405605
"Sonoma County"	0.0405317
"Yangtze River Delta"	0.0404708
Santander	0.0404101
"Li Jiajun"	0.0403977
"Serbian Republic"	0.0403255
"Fort Worth-Dallas"	0.040324
"Guizhou Province"	0.0403239
"Silk Road"	0.0402647
Dijon	0.0401803
"Central Division"	0.0401514
"Grand National"	0.0400457
))
(catalyst (desc 23553.7) (sims
impetus	0.119835
"driving force"	0.0965263
reason	0.0812717
factor	0.0811368
"turning point"	0.0789716
"focal point"	0.0783349
prerequisite	0.0754781
"starting point"	0.0754731
"stumbling block"	0.0743273
"Families USA"	0.0741693
"stepping stone"	0.0726805
"building block"	0.0726785
"lightning rod"	0.0701963
impediment	0.0700111
cornerstone	0.0689037
motivator	0.0685801
"sounding board"	0.0675118
"rallying point"	0.067277
obstacle	0.064802
foundation	0.0643157
magnet	0.0640286
go-between	0.0628764
barometer	0.0628757
motivation	0.0628728
deterrent	0.0626837
conduit	0.0626251
tool	0.0616433
stimulus	0.0616274
potential	0.0610387
culprit	0.0605878
disincentive	0.0605475
"traffic cop"	0.0598126
opportunity	0.059573
blueprint	0.0594931
milestone	0.0593859
cure-all	0.0591281
essential	0.0586119
cog	0.0583994
"test case"	0.0581003
"reference point"	0.0577826
precedent	0.056779
excuse	0.0566837
explanation	0.0565682
yardstick	0.0563089
steppingstone	0.0563001
springboard	0.0561696
aberration	0.0558272
element	0.0557255
determinant	0.0553211
"measuring stick"	0.0552748
bellwether	0.0552462
rationale	0.0548239
justification	0.0546807
indicator	0.0546748
priority	0.0546016
roadmap	0.0545743
"first step"	0.0544106
harbinger	0.054137
flashpoint	0.0540878
mechanism	0.0539051
mediator	0.0535759
boon	0.0533403
indication	0.0530785
"decisive factor"	0.0528548
gauge	0.0527288
inspiration	0.0524917
component	0.0524806
backbone	0.0523779
guarantor	0.0522696
battleground	0.0521177
incentive	0.0520783
pillar	0.0519863
framework	0.0517558
setback	0.0516987
scapegoat	0.0513536
ploy	0.0511886
groundwork	0.0511344
intermediary	0.0510268
reminder	0.050925
"role player"	0.0508815
breakthrough	0.0506724
hindrance	0.0505289
alternative	0.0505076
omen	0.0504792
precondition	0.0504411
facilitator	0.0503055
"role model"	0.0501439
precursor	0.0499019
prelude	0.0498386
"rallying cry"	0.0497492
metaphor	0.0497444
middleman	0.0497287
incubator	0.0496756
instrument	0.049629
lifeline	0.049206
"road map"	0.0487271
fodder	0.0485755
Gateway	0.0484727
foil	0.0481398
savior	0.0480242
momentum	0.0479621
panacea	0.0479078
hurdle	0.047381
"College Board"	0.0473492
"good example"	0.0473396
possibility	0.0472577
criterion	0.0470248
dynamic	0.0469987
spoiler	0.0469755
objective	0.0469445
engine	0.0468489
"dress rehearsal"	0.0466298
"staging area"	0.046497
vindication	0.046177
"cash cow"	0.0461693
counterweight	0.0461493
benchmark	0.0461302
means	0.0460815
template	0.0460717
"breeding ground"	0.0459895
"quick fix"	0.0458415
"waste of time"	0.045791
pretext	0.0455788
symbol	0.0455735
reflection	0.0454925
centerpiece	0.045303
latest	0.0450112
necessity	0.0448332
"guinea pig"	0.0446372
proxy	0.0444188
bottleneck	0.0443692
touchstone	0.0440524
antidote	0.0439604
distraction	0.043914
responsibility	0.0436999
biggest	0.0436851
predictor	0.0434653
"bargaining chip"	0.0434352
ballast	0.0433996
ingredient	0.0433523
testament	0.0433386
consequence	0.0432974
Tonic	0.0432536
fluke	0.0431335
instrumental	0.0431277
mouthpiece	0.0430552
negative	0.0430458
arbiter	0.0430386
hotbed	0.0429299
gatekeeper	0.0428241
forum	0.0427777
stimulant	0.0427024
linchpin	0.0426904
"time bomb"	0.0426056
lever	0.0424737
stand-in	0.0424085
solution	0.042276
haven	0.0420041
countermeasure	0.0419924
irritant	0.0417482
ruse	0.0416395
"meeting place"	0.0416053
showcase	0.0415941
rationalization	0.0415228
clearinghouse	0.0412139
timetable	0.0411598
surrogate	0.0411476
blessing	0.041097
gamble	0.0408721
gearing	0.0408057
"line of defense"	0.0407701
thorn	0.0406278
"launching pad"	0.0405378
"early warning system"	0.0405056
topic	0.0404718
lubricant	0.0404324
guideline	0.0404003
figurehead	0.040335
contributor	0.040317
accomplishment	0.0402822
outcome	0.0402545
drawback	0.0402508
validation	0.0402193
backdrop	0.0401637
proof	0.040094
))
("catalytic converter" (desc 1868.43) (sims
"cooling system"	0.115546
"alarm system"	0.112635
"ventilation system"	0.108746
"gas tank"	0.103716
"seat belt"	0.0988427
"air bag"	0.0980226
"safety belt"	0.0978918
transponder	0.0937377
prosthesis	0.0922976
"security system"	0.0908282
"heating system"	0.0907923
"safety feature"	0.0905516
"solar cell"	0.0896251
"electronic equipment"	0.0888189
sensor	0.0885607
"electrical system"	0.0876811
conditioner	0.0868507
"hearing aid"	0.0867781
defibrillators	0.0855561
"water line"	0.0852003
blinker	0.0851362
undercarriage	0.0842869
turbogenerator	0.08256
"X-ray machine"	0.0824967
"fuel system"	0.0824192
detector	0.082111
dashboard	0.0819468
sprinkler	0.081863
windscreen	0.0817691
"communications equipment"	0.0812884
"water tank"	0.0811931
"fuel cell"	0.0810814
"hand-held computer"	0.0809804
"aircraft part"	0.0806699
"power unit"	0.0804999
"automatic teller machine"	0.0804172
"wind power"	0.0785124
webcams	0.0783035
"suspension system"	0.0782597
Projector	0.0758784
airbags	0.0754321
"sound system"	0.075201
"communication system"	0.0751242
ignition	0.0748735
"stereo system"	0.0747767
"software system"	0.0743805
"telecommunication system"	0.0734318
"cellular telephone"	0.0730966
air-conditioner	0.0728679
beepers	0.0723643
"fire wall"	0.0720601
toolbox	0.0717386
windshield	0.0715501
gyro	0.071241
radiator	0.0707462
router	0.0707079
"water heater"	0.0705188
transmitter	0.0702334
scanner	0.0701837
air-conditioning	0.0694676
"electronic device"	0.0691858
stereo	0.068265
"telephone booth"	0.0677118
"sprinkler system"	0.0673404
agro-techniques	0.0672506
"gasoline engine"	0.0672117
"diesel engine"	0.0668666
"surveillance system"	0.0668325
V-chip	0.0666859
silencer	0.0666312
"digestive system"	0.066561
"nuclear warhead"	0.066401
heater	0.0662467
"septic tank"	0.0661664
"license plate"	0.0659512
agro-technology	0.0656212
"video screen"	0.0655819
"cellular phone"	0.0655414
"audio system"	0.0654257
headlight	0.065366
"line of products"	0.0653567
"telephone exchange"	0.0653043
"traffic signal"	0.0652241
wallboard	0.0651196
"control system"	0.064603
"fiber optic cable"	0.0642411
"disk drive"	0.0639443
converter	0.0638988
"weapons system"	0.0637819
CFCs	0.063609
sonar	0.0628718
aerodynamics	0.0628647
splint	0.0626857
muffler	0.0625647
goggles	0.0624827
"windshield wiper"	0.0620749
"compact car"	0.061919
microchip	0.0617391
assembler	0.0617145
"silicon chip"	0.0616413
"waiting game"	0.0615452
dryer	0.0609416
timer	0.0608671
bumper	0.0605529
"waiting area"	0.0605171
GPS	0.0604913
injector	0.0600452
"production equipment"	0.0600327
washer	0.0599925
antenna	0.0599668
"information system"	0.0599264
recorder	0.0598715
"production line"	0.0598061
"safety lock"	0.0596669
"front end"	0.0593504
odometer	0.0592861
diaphragm	0.0590954
microprocessor	0.0589666
led	0.0586082
"communications technology"	0.0585851
"glove compartment"	0.058467
"artificial heart"	0.0582764
"fax machine"	0.0582237
pagers	0.0581298
"jet engine"	0.0578107
chassis	0.0576443
"margin call"	0.0575561
"power system"	0.0575052
"electric car"	0.0574675
pulley	0.0573027
"steel plate"	0.0569773
forklift	0.0567512
"computer language"	0.0566179
Win@@	0.0564858
"blood cell"	0.0564282
stents	0.056147
"fire extinguisher"	0.0561463
gearbox	0.0560461
simulator	0.0560417
purifier	0.0558894
ICS	0.0558745
endoscope	0.055832
defibrillator	0.055753
nitroglycerin	0.0556611
additive	0.05551
"brain cell"	0.0551584
"fortune cookie"	0.055144
"pipe organ"	0.0549512
"emergency exit"	0.0549319
"software package"	0.0548868
"scoring system"	0.0548701
"drainage system"	0.0548315
avionics	0.0546634
"compact disk"	0.0544076
polyp	0.0542603
"water pipe"	0.05409
gyroscope	0.0538844
"coaxial cable"	0.0537875
"household appliance"	0.0535554
"medical instrument"	0.0533146
"pumping station"	0.0533006
"center of gravity"	0.0530781
"scientific method"	0.0530044
solvent	0.0529224
valve	0.0529003
"solar energy"	0.0528814
pacemaker	0.0527153
algorithm	0.0526713
nozzle	0.0525278
T-cells	0.0524983
tailpipe	0.0524627
furnace	0.0524625
"memory chip"	0.0524352
fibroids	0.0523923
"chemical agent"	0.0523029
"chemical compound"	0.0522048
"exhaust system"	0.0521354
"satellite receiver"	0.0520325
"speaker system"	0.0520156
"poison gas"	0.0519349
caster	0.0519281
"car seat"	0.0518828
"Windows CE"	0.0518764
"point system"	0.0518191
houseplant	0.0517657
"tv set"	0.0516911
"liquefied petroleum gas"	0.0516031
"life cycle"	0.0514937
"growth hormone"	0.051276
"UNIX operating system"	0.0512572
"traffic light"	0.0512464
peripheral	0.0512357
lubricant	0.0512131
"radio transmitter"	0.0511738
taxiway	0.0511308
gadgetry	0.0510817
"microwave oven"	0.0508642
Powerbook	0.0506739
supercomputers	0.0506164
hump	0.0503536
))
(catamaran (desc 3935.11) (sims
powerboat	0.142547
sailboat	0.13756
motorboat	0.12834
"passenger ship"	0.124089
pontoon	0.120236
sloop	0.116439
yacht	0.115844
schooner	0.11557
"patrol boat"	0.10863
skiff	0.103299
dinghy	0.103178
"sailing vessel"	0.101382
"cabin cruiser"	0.100663
"slave ship"	0.0998874
barge	0.0989216
trawler	0.095382
"cargo vessel"	0.0947033
speedboat	0.0891305
Tram	0.0890639
"cargo ship"	0.0877356
hovercraft	0.0870854
ferry	0.0866067
"Ferris wheel"	0.0861338
"ocean liner"	0.0858731
"cruise ship"	0.085449
"pleasure boat"	0.0852776
freighter	0.0816381
rowboat	0.0807346
ferryboat	0.0798641
"fishing boat"	0.0794568
"container ship"	0.0793369
"luxury liner"	0.0776011
glider	0.0760503
"small boat"	0.0757575
"landing craft"	0.0747222
trolley	0.0739928
lifeboat	0.0735375
Acela	0.0730926
canoe	0.0705639
frigate	0.0697667
locomotive	0.0691679
riverboat	0.0683695
raft	0.0683639
biplane	0.0677311
tanker	0.06737
minesweeper	0.0672247
tugboat	0.0660647
gunboat	0.0653822
"patrol ship"	0.0652279
"drilling rig"	0.0649193
Cruiser	0.0648423
"transport ship"	0.0643977
"cable car"	0.0633075
"passenger train"	0.0629369
"Stars &AMP; Stripes"	0.0618147
steamer	0.0612162
chairlift	0.0598244
destroyer	0.0598102
"clock tower"	0.0594216
battleship	0.0594168
"nuclear-powered submarine"	0.0593434
C-@@@	0.058329
submarine	0.0578589
"express train"	0.0575584
mini-van	0.0574093
"shuttle bus"	0.0572469
Fila	0.0569349
kayak	0.05622
"sailing ship"	0.0558334
minibus	0.0551713
Steamship	0.0550833
"Cessna @@@"	0.0550002
four-night	0.0548082
"oil tanker"	0.0542409
spaceship	0.0540877
nine-day	0.0536635
warship	0.0536469
Amistad	0.0529162
Learjet	0.0525126
chopper	0.0521226
"radio telescope"	0.0520818
gondola	0.0518506
"particle accelerator"	0.051177
"supply ship"	0.0510088
riverboats	0.0509882
"attack submarine"	0.050788
sled	0.0505108
U-boat	0.0502613
Cessna	0.0494693
sinkhole	0.0494044
shipbuilder	0.0491345
chip-in	0.049096
four-hour	0.0489134
"merchant ship"	0.0488642
wingspan	0.0488591
limousine	0.0487674
Mayflower	0.0484539
A@XX	0.0483429
"aircraft carrier"	0.0482314
"fiber optic cable"	0.0478084
ESCALADE	0.0477721
Kursk	0.0475192
"commuter train"	0.0472344
monorail	0.0470009
helmsman	0.0469831
endeavour	0.046466
"hot-air balloon"	0.0462879
spotter	0.0460343
osprey	0.0458386
minibuses	0.0458116
outrigger	0.0457459
hyphen	0.0457167
houseboat	0.0456549
Hindenburg	0.0455537
A@@@-@@@	0.0455478
"Lunar Prospector"	0.045373
PDA	0.0453635
supercomputer	0.0450761
two-night	0.0450261
Streetcar	0.0448984
"tractor trailer"	0.04472
"space heater"	0.044713
submersible	0.0445243
"booster rocket"	0.0445157
"domed stadium"	0.0441448
"suspension bridge"	0.0438939
fireball	0.0438004
"jet plane"	0.0436531
router	0.0435475
warplane	0.0434302
Ambulance	0.0434201
shredders	0.0429923
adenovirus	0.0427272
"fire engine"	0.0426462
jetliner	0.0423306
potty	0.0422739
"freight train"	0.0421256
"steam engine"	0.0420776
snowmobile	0.0420158
Soldini	0.0419332
"Young America"	0.0418086
"school bus"	0.0417325
"chip shot"	0.0416918
three-hour	0.0416203
subwoofer	0.041286
seven-day	0.0412658
"New Carissa"	0.0412474
"surface ship"	0.041202
DC-@@	0.0410594
pre-Olympic	0.0407993
flagpole	0.0407437
parachute	0.0407014
Whitbread	0.0404708
Limo	0.040449
hearse	0.0404306
"Airbus A@@@"	0.0403995
steamboat	0.0403637
Sequoia	0.0401038
"subway train"	0.04007
))
(Catania (desc 1411.78) (sims
Messina	0.2311
PALERMO	0.163854
Beersheba	0.133892
Bamiyan	0.133567
"San Pedro Sula"	0.125576
Antalya	0.123629
Davao	0.120212
Jalalabad	0.119766
Rafah	0.118801
Cochabamba	0.117594
Basle	0.117445
Kandy	0.117216
Haicheng	0.113546
Aachen	0.113163
Panzhihua	0.112924
Fukuoka	0.112558
BRATISLAVA	0.112059
Vladikavkaz	0.111708
"Port Elizabeth"	0.11005
Malaga	0.109788
Assisi	0.109553
Izmir	0.1089
"Banja Luka"	0.105911
Murmansk	0.105548
Kizlyar	0.105058
Christchurch	0.10437
Isfahan	0.103171
Salonika	0.102938
Taloqan	0.102726
Ismailia	0.100815
Posoltega	0.100661
"CHIANG MAI"	0.0994902
Larnaca	0.0989949
Taba	0.0986376
Mazar-i-Sharif	0.098387
Trieste	0.0983386
Ensenada	0.0981747
Leskovac	0.0980117
Kitwe	0.0979976
Baalbek	0.0973926
Juba	0.0973393
Aviano	0.0968135
Durres	0.0967861
Liuzhou	0.0958983
Kuching	0.0955048
Naperville	0.0940189
Golmud	0.0939857
Gudermes	0.0938462
Najaf	0.0925685
Bormio	0.0919538
Kisumu	0.0917262
Matadi	0.0913724
Ashkelon	0.0910761
Gdansk	0.0904573
Aswan	0.0903868
Rawalpindi	0.0903638
Beira	0.0901981
Khabarovsk	0.0897487
Cavalese	0.0894411
Cebu	0.0890461
Ndola	0.0890322
Durban	0.0888701
Tapachula	0.0885228
Tachilek	0.0875383
Bulawayo	0.0875133
Sidon	0.0874189
Pisa	0.0873565
Sirte	0.0869957
Peshawar	0.0861146
Astana	0.0860521
Nantes	0.0860316
Aden	0.085687
Sanya	0.0854542
Mosul	0.0852195
Herat	0.084953
Weifang	0.0848839
"Kinder Bologna"	0.0843906
Bari	0.0842444
Jiujiang	0.0841388
Novosibirsk	0.0840312
Glasgow	0.0836695
Zamboanga	0.0833062
Pattaya	0.0829786
Aqaba	0.0827093
Krasnoyarsk	0.0823382
Krakow	0.081963
Yogyakarta	0.0818295
Izmit	0.081503
Marjayoun	0.0814405
Sihanoukville	0.081328
Tijuana	0.0813217
Midrand	0.0812443
Trincomalee	0.0812209
Hannover	0.0810623
Ghent	0.0809887
Sochi	0.0807289
Yerevan	0.0806399
Nago	0.0804707
Moshi	0.0802013
Basra	0.0801561
Multan	0.0801537
Dushanbe	0.0801398
Huambo	0.0794776
Guayaquil	0.0793179
Sharjah	0.0790997
Yekaterinburg	0.0790461
Ur	0.0789157
Gulu	0.078886
MANAMA	0.0784456
Baotou	0.0780049
Khost	0.0778024
Macoris	0.077633
Bangalore	0.0774762
Haifa	0.0774583
Eilat	0.0773641
Jinja	0.0773213
Limassol	0.0769791
Bushehr	0.076655
Quetta	0.0764975
Adana	0.0764717
Tuzla	0.0763809
Warri	0.0763499
Vukovar	0.076093
Batticaloa	0.0759927
Qinhuangdao	0.0759775
NIS	0.0758447
Avignon	0.0756997
Genoa	0.0753739
"Siem Reap"	0.0753529
Salerno	0.0753411
Jeddah	0.0747567
Kandahar	0.0747008
Bengkulu	0.0745512
Saida	0.0744482
TUNIS	0.0741453
Beidaihe	0.0737313
Shashi	0.0734557
ZHOUSHAN	0.0732708
Irbil	0.0732095
"Ciudad Juarez"	0.073105
BLANTYRE	0.0727084
Xian	0.0726833
Jenin	0.0726244
Mashhad	0.0726062
Lucerne	0.0723008
Wellington	0.0722754
Entebbe	0.0721915
Nablus	0.0720734
Inchon	0.0717637
BRIGHTON	0.0716313
"San Cristobal"	0.0715996
Diyarbakir	0.0714573
Cartagena	0.0714205
Manado	0.0713246
Naples	0.0713057
Turin	0.071193
Golcuk	0.0711916
Kabwe	0.0710833
"Renzo Furlan"	0.0709941
Makhachkala	0.0709484
Nanning	0.0708065
Poughkeepsie	0.0707964
Vladivostok	0.0707925
Oro	0.0705225
Pusan	0.0704594
"Del Rio"	0.0703923
Mbarara	0.06996
Toulon	0.0698514
Ibadan	0.0693736
Luanda	0.0691607
Chamonix	0.069074
Maastricht	0.0690554
Nagoya	0.0688889
Baidoa	0.0686929
"Santo Domingo"	0.0685646
Phuket	0.0685321
Ashkhabad	0.0683226
"Deborah Compagnoni"	0.0682462
Plata	0.0681039
Vlore	0.0680081
Salzburg	0.0680028
Mandalay	0.0679159
Cairns	0.0679092
"Max Biaggi"	0.0678416
Salonica	0.0676578
Luca	0.0676318
Luoyang	0.0674982
"El Dorado"	0.0673637
Lille	0.0671812
Dubrovnik	0.0671388
Lhokseumawe	0.0671097
"Rita Grande"	0.0670139
Palma	0.0669903
Kathmandu	0.0669792
Orahovac	0.0668428
Mannheim	0.0668059
Port-au-Prince	0.066783
Lubumbashi	0.0667803
Kindu	0.066764
Bologna	0.0665645
))
(catapult (desc 1403.7) (sims
"weather satellite"	0.0624745
two-by-four	0.0609297
"torture chamber"	0.0599966
Hoe	0.0563939
ICBM	0.0540824
cudgel	0.0531619
fiefdom	0.0523888
"tool kit"	0.0504612
slingshot	0.0501432
"UNIX operating system"	0.0481085
"utility program"	0.0479591
"fantasy world"	0.047858
"point system"	0.0477819
"electric shock"	0.04775
"poison gas"	0.0476572
chimera	0.0456396
woodcut	0.045479
"particle accelerator"	0.043423
"street address"	0.0431163
"booster rocket"	0.0425363
sprayer	0.041891
"surface-to-air missile"	0.0414349
machine-guns	0.0411078
"prayer book"	0.0409215
Stinger	0.0408755
"ball bearing"	0.0408409
"submachine gun"	0.0408038
sorter	0.0406917
suffix	0.0403107
Uzi	0.0400173
"attack submarine"	0.0400019
))
(cataract (desc 7704.43) (sims
Osteoporosis	0.210505
asthma	0.196207
hypertension	0.192604
gallstone	0.185099
"eye disease"	0.184621
Parkinson's	0.184469
"skin cancer"	0.179093
"multiple sclerosis"	0.178881
"cardiovascular disease"	0.177749
dementia	0.177534
"Parkinson's disease"	0.176933
"rheumatoid arthritis"	0.175246
emphysema	0.174834
"heart disease"	0.174786
diabetes	0.174417
arthritis	0.174007
glaucoma	0.171332
"high blood pressure"	0.16606
melanoma	0.165576
"lung cancer"	0.16202
"kidney disease"	0.159322
epilepsy	0.15859
"colon cancer"	0.156668
osteoarthritis	0.153208
lupus	0.151875
blindness	0.150267
als	0.149082
hernia	0.148699
ulcer	0.145601
"brain tumor"	0.144601
leukemia	0.14457
Alzheimer	0.141725
"liver disease"	0.141698
migraine	0.140712
hepatitis	0.139301
Obesity	0.138927
"heart condition"	0.137464
tuberculosis	0.136695
cancer	0.136282
hemophilia	0.135325
"cystic fibrosis"	0.134216
angina	0.133811
"heart failure"	0.133018
"congestive heart failure"	0.130936
gallbladder	0.130489
allergy	0.130206
leprosy	0.12962
bifida	0.125656
disorder	0.1253
"cerebral palsy"	0.124123
pneumonia	0.122805
Tb	0.122685
anemia	0.121914
infertility	0.120845
lymphoma	0.1205
autism	0.120358
"mental illness"	0.119533
trachoma	0.119164
deafness	0.118244
"mental disorder"	0.117968
tumor	0.117113
"heart attack"	0.116904
syndrome	0.115875
"back pain"	0.115601
impotence	0.115348
malaria	0.11454
ailment	0.113956
"respiratory disease"	0.112314
disease	0.11188
"hepatitis B"	0.111611
retardation	0.111244
defect	0.111032
infection	0.110679
"malignant tumor"	0.109539
"muscular dystrophy"	0.109028
nearsightedness	0.108825
HIV	0.108782
schizophrenia	0.108575
diarrhea	0.107094
"Lyme disease"	0.106459
heartburn	0.105705
acne	0.105386
"blood clot"	0.105357
psoriasis	0.105234
abnormality	0.104143
deficiency	0.103326
bronchitis	0.102578
apnea	0.102078
"tooth decay"	0.101738
prostate	0.101037
deformity	0.100824
syphilis	0.100317
HIV/AIDS	0.0999312
Alcoholism	0.09596
polyp	0.0957901
illness	0.0953885
degeneration	0.0927528
Depression	0.0921512
"food poisoning"	0.0914491
polio	0.0914156
malnutrition	0.0910835
kidney	0.0908003
malady	0.089989
rotavirus	0.0898475
"sexually transmitted disease"	0.0891646
insomnia	0.0886777
"lead poisoning"	0.0884309
"kidney stone"	0.0884207
atherosclerosis	0.0883645
cirrhosis	0.0883381
"infectious disease"	0.0883178
narcolepsy	0.0880603
"dengue fever"	0.0878386
malformation	0.0875174
lesion	0.0872248
"memory loss"	0.0866499
Meningitis	0.0860184
stroke	0.0856445
"hay fever"	0.0855705
clot	0.085407
gangrene	0.0848797
LASIK	0.0848027
miscarriage	0.0843328
cholera	0.0835804
"health problem"	0.083535
aneurysm	0.0832861
flu	0.0831815
CJD	0.0831631
"genetic disease"	0.0826073
aids	0.0825731
frostbite	0.0822024
incontinence	0.0820979
"manic depression"	0.0813204
impairment	0.0812983
dehydration	0.0807296
influenza	0.0806856
cyst	0.0806188
myeloma	0.0805879
sunburn	0.0789796
Dengue	0.0786761
"alcohol abuse"	0.0785917
inhalation	0.0784023
bladder	0.0777214
"neurological disorder"	0.0773088
encephalitis	0.0772592
fibrillation	0.0769532
implant	0.076896
cholesterol	0.0766879
relapse	0.0764848
"soil erosion"	0.0756668
IDD	0.075604
"asthma attack"	0.0754225
colon	0.0744858
"dog bite"	0.0742031
"common cold"	0.0740138
fracture	0.0736978
diarrhoea	0.0733431
paralysis	0.0728657
angioplasty	0.0726214
myopia	0.0719276
anorexia	0.071831
Rabies	0.0712827
measles	0.0710452
disability	0.0707935
hypothermia	0.070694
inflammation	0.069542
Dysentery	0.0694533
"personality disorder"	0.0694252
trauma	0.0694136
SIDS	0.069267
"skin disease"	0.0692428
fever	0.0689479
eyesight	0.0687417
"contagious disease"	0.0686763
hemorrhage	0.0686315
fatigue	0.06842
complication	0.0683008
shortsightedness	0.0682576
gastroenteritis	0.067713
vasectomy	0.0675823
STDs	0.0671571
"Type @"	0.0670346
lung	0.0666325
ADHD	0.0659755
dysfunction	0.0659394
carcinoma	0.0657874
poisoning	0.0655943
mastectomy	0.0655382
"heroin addiction"	0.0654313
Caesarean	0.0653299
gall	0.0652957
abscess	0.0651547
"writer's block"	0.0651125
"acquired immune deficiency syndrome"	0.0649634
blockage	0.0646036
fibroids	0.0645713
breast	0.0645205
tetanus	0.0643291
Addiction	0.064166
"drug addiction"	0.0641659
))
(catastrophe (desc 27432.4) (sims
disaster	0.241642
calamity	0.198177
tragedy	0.181597
famine	0.159862
epidemic	0.145918
crises	0.145314
chaos	0.13606
bloodshed	0.13593
meltdown	0.135614
bloodbath	0.135099
devastation	0.13272
recession	0.131343
instability	0.128683
unrest	0.12767
upheaval	0.127276
crisis	0.12572
flood	0.123095
carnage	0.122458
disruption	0.121944
outbreak	0.121229
starvation	0.120908
turmoil	0.119022
collapse	0.117703
conflagration	0.116306
violence	0.116026
mishap	0.114198
accident	0.114047
emergency	0.11379
downturn	0.112283
hardship	0.11089
cataclysm	0.109815
conflict	0.109735
turbulence	0.109653
strife	0.109424
trauma	0.109259
earthquake	0.109223
shortage	0.109055
destruction	0.10887
confrontation	0.10767
suffering	0.10766
consequence	0.107307
debacle	0.106912
spill	0.106411
embarrassment	0.106115
drought	0.106085
eruption	0.106046
shutdown	0.104933
explosion	0.1042
escalation	0.103779
deterioration	0.103581
slowdown	0.103168
breakdown	0.103064
riot	0.103031
extinction	0.102818
nightmare	0.101683
massacre	0.100759
"economic crisis"	0.100719
pandemic	0.100361
landslide	0.099431
harm	0.0982271
incident	0.0978634
glitch	0.0969051
genocide	0.0968976
insolvency	0.0968213
hazard	0.0967571
trouble	0.096665
blackout	0.0966167
crunch	0.0958785
Collision	0.0958011
anarchy	0.0955025
war	0.0954044
mudslide	0.0952136
problem	0.094469
exodus	0.0943231
atrocity	0.0936408
degradation	0.0931122
"civil war"	0.0928808
clash	0.0928309
"military action"	0.0923684
"health problem"	0.0923089
setback	0.0918986
disintegration	0.0918298
danger	0.0915188
damage	0.0912535
"flash flood"	0.0912261
disturbance	0.0909447
flare-up	0.0902385
panic	0.0898896
crash	0.0898527
outages	0.0898028
Depression	0.0897379
misery	0.0896901
"power failure"	0.0894463
"financial loss"	0.0891454
Quake	0.0887747
failure	0.0881301
fiasco	0.0880346
scandal	0.0878788
crime	0.0878021
"forest fire"	0.0877816
cleansing	0.0875608
situation	0.0875504
"arms race"	0.0873507
casualty	0.0873284
tsunami	0.0872792
bankruptcy	0.0871422
horror	0.0871164
abuse	0.0869795
storm	0.0862986
tornado	0.0862712
slump	0.0861236
repercussion	0.0860008
shortfall	0.0854906
devaluation	0.0853128
gridlock	0.0849749
scare	0.084201
humiliation	0.084047
backlash	0.0839686
occurrence	0.083812
displacement	0.0837527
invasion	0.083745
wildfire	0.0837039
poverty	0.0833359
disease	0.0833033
slaughter	0.0828452
phenomenon	0.0828229
difficulty	0.0828
contagion	0.082499
injustice	0.0824797
threat	0.0824215
default	0.0815315
misunderstanding	0.0814455
erosion	0.0812963
rioting	0.0810344
mistake	0.080962
loss	0.0809088
"tidal wave"	0.0807951
terrorism	0.0806197
shock	0.0803174
impact	0.0801571
breakup	0.0801493
"heat wave"	0.0799605
woe	0.0799009
apocalypse	0.0798422
fallout	0.0797149
defeat	0.0795987
contamination	0.0793876
layoff	0.0793037
aggression	0.0792492
persecution	0.0789149
illness	0.0787014
suicide	0.0786802
destabilization	0.0786236
confusion	0.0785133
adversity	0.0784958
hyperinflation	0.0783906
eventuality	0.0781968
fighting	0.0781503
stress	0.0781494
scenario	0.0781291
blowout	0.0781235
assault	0.0780175
provocation	0.0780049
outage	0.0776107
killing	0.077542
tension	0.077498
pollution	0.0774913
repression	0.0774402
coup	0.0772138
paralysis	0.0770945
Death	0.0770074
plague	0.0769748
hurricane	0.0768928
dislocation	0.0767615
"traffic jam"	0.0764468
influx	0.0758639
onslaught	0.0758358
mayhem	0.075798
mess	0.0756416
scarcity	0.0755301
glut	0.0754365
miracle	0.0750595
worst	0.0750391
"price increase"	0.0749875
reversal	0.0748886
flooding	0.0747548
infection	0.0746319
leakage	0.0743197
bloodletting	0.0742924
breakthrough	0.0742626
breach	0.0742292
warfare	0.074204
wreck	0.0737615
hunger	0.0736881
inconvenience	0.0736694
complication	0.0736544
shakeout	0.0736229
terror	0.0735561
evil	0.0735282
leak	0.0733868
))
(catcall (desc 3224.01) (sims
jeer	0.247835
boo	0.184078
groan	0.161219
taunt	0.150555
whoop	0.136858
hoot	0.124719
laughter	0.123725
applause	0.121719
howl	0.112554
"standing ovation"	0.11168
snort	0.111158
hiss	0.0977628
ovation	0.0966084
whistle	0.0946204
derision	0.0920721
shriek	0.0898198
guffaw	0.0887465
squeal	0.0844397
gasp	0.084295
chuckle	0.0827032
yelp	0.0775733
rejoinder	0.0632489
amen	0.0630896
epithet	0.0613526
murmur	0.058516
sendoff	0.0581169
adulation	0.0561934
plaudit	0.0553635
"foot traffic"	0.0550494
"paper cup"	0.0544613
retort	0.0542482
ribbing	0.0530253
jibe	0.0524278
Vilification	0.0522838
"hue and cry"	0.0522354
heckling	0.049058
accolade	0.0483653
YAWN	0.0479435
heckler	0.0478748
clapping	0.0471139
outcry	0.0470805
smirk	0.0470779
feedback	0.0464413
flak	0.0461825
whistling	0.0460576
denouncement	0.0460202
denunciation	0.0457621
kudos	0.0455962
snicker	0.0449424
taunting	0.0447263
"positive feedback"	0.0443705
"loud noise"	0.0430967
"background noise"	0.0428919
"sonic boom"	0.0425641
"margin call"	0.0425188
smattering	0.0418703
clowning	0.0415754
high-fives	0.041313
wailing	0.0412361
witticism	0.0404798
"personal appeal"	0.040075
))
(catch (desc 54767.8) (sims
interception	0.16805
pass	0.167612
touchdown	0.16227
reception	0.152674
"field goal"	0.126528
punt	0.126481
"home run"	0.116606
steal	0.102912
TDs	0.102756
homer	0.102724
rushing	0.102239
strikeout	0.100216
fumble	0.100047
TD	0.0991695
RBI	0.0946649
tackle	0.0923223
rebound	0.0919383
completion	0.0895041
yard	0.0890251
ball	0.0886103
shot	0.0869989
dunk	0.0855558
kick	0.0844789
"double play"	0.0841333
"free throw"	0.083651
sack	0.0823271
yardage	0.0812416
double	0.0810417
at-bat	0.0763896
pitch	0.0762437
putt	0.0753103
error	0.0751948
triple	0.0750631
single	0.0746937
goal	0.0734792
birdie	0.0732356
safe	0.0723755
"grand slam"	0.0723613
"unearned run"	0.0709374
downs	0.070808
"batting average"	0.0700835
foul	0.0693758
victory	0.068996
"base hit"	0.0686046
penalty	0.0682514
inning	0.0681541
turnover	0.0679311
"third homer"	0.0676134
receiver	0.06668
Trey	0.0665286
layup	0.0662757
outs	0.0657694
percentage	0.0651923
"foul shot"	0.0651209
Six	0.0633369
attempt	0.0632313
"earned run"	0.0629907
shutout	0.0628676
baserunners	0.0628609
tip-in	0.0627728
comeback	0.0621576
Three	0.0619018
four	0.0616646
chance	0.0613139
average	0.0610327
jumper	0.0609081
nine	0.0606668
"jump shot"	0.0603941
"base runner"	0.0603701
"wild pitch"	0.0601388
outing	0.0601058
bunt	0.0600817
passing	0.0598537
rush	0.0597968
deflection	0.0595
snap	0.0593718
volley	0.0591288
Five	0.05881
"fly ball"	0.0586998
"passing shot"	0.0586845
fishing	0.0586076
kickoff	0.0585811
dive	0.0585754
harvest	0.0581619
runner	0.0580972
"ground ball"	0.0574824
"five points"	0.057198
possession	0.0570713
"chip shot"	0.0570421
"six points"	0.056913
seven	0.0567747
"three points"	0.0561868
block	0.0561478
batter	0.0561013
performance	0.0559113
"eight points"	0.0557056
wicket	0.0553758
"sacrifice fly"	0.0549105
fish	0.0548521
"second homer"	0.0547892
streak	0.0546876
ace	0.0545479
"solo homer"	0.0545424
offense	0.0544177
hole	0.0542687
eight	0.0541111
layups	0.0540089
basket	0.05393
hitter	0.0539155
header	0.0536953
loss	0.0536769
third	0.0535983
grounder	0.0532688
"two homers"	0.0531378
scramble	0.0524559
"road game"	0.0521518
lob	0.0520891
feat	0.0519959
mistake	0.0516672
pair	0.0514523
blunder	0.0513683
Defense	0.0511694
quarterback	0.0510635
bat	0.0507143
"running play"	0.0506198
conversion	0.0506188
knockout	0.0504139
starter	0.0503054
"nine points"	0.0501623
trick	0.0500136
backhand	0.0499819
"four points"	0.0496794
"first homer"	0.0493755
bogey	0.0488224
leap	0.0486746
medal	0.0484823
"line drive"	0.0483524
concussion	0.0482598
"seven points"	0.0482127
appearance	0.0481569
par	0.0481536
doubles	0.0480762
punch	0.0480731
"home game"	0.0480057
"two points"	0.0477133
game-winner	0.0476816
opportunity	0.0475659
glove	0.0474866
linemen	0.0474001
rating	0.0472928
speed	0.047205
hook	0.0471795
overall	0.0469732
lap	0.046941
output	0.0468954
snag	0.0468657
amount	0.0468191
forehand	0.046629
pitching	0.0464102
changeup	0.046392
guy	0.046331
"power play"	0.0463035
attendance	0.0460624
fastball	0.0459655
liner	0.0458318
"running back"	0.045746
injury	0.0457214
career	0.0456058
fatality	0.045391
recovery	0.0452892
fourth	0.0452104
accomplishment	0.045204
success	0.0448003
salary	0.0447921
"market share"	0.04479
hitting	0.0447367
ratio	0.0446241
fifth	0.0445969
fault	0.0444529
guess	0.0444162
miscue	0.0443365
advantage	0.0442001
shipment	0.0441888
gaffe	0.0441073
seventh	0.0440149
burst	0.0438719
"playoff game"	0.0438197
receiving	0.0437704
stuff	0.0437586
production	0.0437513
stroke	0.0436374
"Super Bowl"	0.0435758
straight	0.043571
"over .@@@"	0.0435292
specie	0.0431311
deficit	0.0430377
Kicker	0.0428104
"fatal accident"	0.0427904
size	0.0427877
batting	0.0427406
))
(Catch-@@ (desc 3972.95) (sims
copout	0.0881382
dilemma	0.0847364
"American Psycho"	0.0843533
"Primary Colors"	0.0817351
"shell game"	0.0815781
no-brainer	0.0807992
"waiting game"	0.0801237
"Jekyll and Hyde"	0.0793182
quandary	0.0791765
conundrum	0.0791615
"adventure story"	0.0786672
paradox	0.0784814
"Satanic Verses"	0.07729
Ulysses	0.0737914
nonevent	0.0711213
"vicious circle"	0.0685103
letdown	0.0681487
overstatement	0.0680507
warp	0.0679809
crosscurrent	0.0657356
Moby-Dick	0.0655879
vise	0.0645824
purgatory	0.0643433
Lolita	0.0641293
Frankenstein	0.0630114
whammy	0.0625271
"blue moon"	0.0625255
"Les Miserables"	0.0619322
"numbers game"	0.0615868
"eye opener"	0.0612067
hassle	0.0596101
"Great Gatsby"	0.0594013
mindset	0.0591811
dogfight	0.0589598
predicament	0.0582268
"literary work"	0.0582204
quagmire	0.056968
travelogue	0.0566221
foolishness	0.0564301
triangulation	0.0563947
win-win	0.0556545
limbo	0.054762
"piece of work"	0.0547278
"scarlet letter"	0.0547236
indignity	0.0547167
enigma	0.0543957
axiom	0.0543775
dichotomy	0.0543748
ROOTS	0.0542851
"hot potato"	0.0541072
"detective story"	0.0539884
oversimplification	0.0538169
antihero	0.0537765
tug-of-war	0.0537732
"Animal Farm"	0.0532335
free-for-all	0.0530341
"dark ages"	0.0529469
misnomer	0.0529107
"turning point"	0.052751
"caste system"	0.0527245
"deja vu"	0.0522713
up-and-down	0.0520628
"reference work"	0.0519756
Mockingbird	0.0519609
"love story"	0.0516331
"yellow pages"	0.0513766
cakewalk	0.0513265
"Christmas carol"	0.0512688
craziness	0.0511952
travesty	0.0510168
lull	0.0508739
whirlwind	0.0508514
fluke	0.0506532
affliction	0.0506514
trilogy	0.0506344
"English Patient"	0.0506174
ballgame	0.0505695
"inferiority complex"	0.0504499
"chess game"	0.050432
"Moby Dick"	0.0504031
firestorm	0.0503046
parable	0.050144
one-point	0.0499895
"sleight of hand"	0.0499792
"big game"	0.0499738
triage	0.0498889
"cash crunch"	0.0497802
"sour grapes"	0.0497144
tradeoff	0.0496416
"Cliffs Notes"	0.0495694
"great year"	0.049562
"Beauty Queen"	0.0494992
Exorcist	0.0494658
fable	0.0493385
folly	0.0492773
"big picture"	0.0492733
Rut	0.049248
"crisis situation"	0.0490271
"Invisible Man"	0.0490023
"Animal House"	0.0488888
misperception	0.0487515
"Harry Potter"	0.0487312
storybook	0.0486972
bombshell	0.048618
"comic strip"	0.0480655
"identity crisis"	0.0480594
Downer	0.0480144
cliffhanger	0.0479783
updraft	0.0479243
overkill	0.0479198
"board game"	0.0478148
"Wyatt Earp"	0.0477902
nonsense	0.0476609
catharsis	0.04763
tightrope	0.047594
Zen	0.0475356
cockiness	0.047502
guidebook	0.0474804
"New Style"	0.0474376
"Don Quixote"	0.0474307
seesaw	0.0472055
"comic book"	0.0471523
disgrace	0.0471411
student-athlete	0.0470412
"Starr Report"	0.0468908
adage	0.0468311
"guessing game"	0.0467196
weirdo	0.0466807
"life story"	0.0464807
impossibility	0.0463735
Dracula	0.0461134
Funk	0.0459875
Austen	0.0458365
Truism	0.0457145
"short story"	0.0456863
bloke	0.0456511
"best seller"	0.0456287
payback	0.0455581
"good story"	0.0453762
Rubicon	0.045283
"shock therapy"	0.0452731
whodunit	0.0451195
irony	0.045115
"guardian angel"	0.0450963
anticlimax	0.0450034
"Blair Witch"	0.0449931
homecoming	0.044873
"Christmas present"	0.0448595
third-and-@@	0.0448227
"Perfect Storm"	0.0445968
freak	0.0445856
"morse code"	0.0445356
misconception	0.0445163
storyline	0.0445116
third-and-@	0.0444448
"work in progress"	0.044413
gadfly	0.0442534
mantra	0.0442488
downdraft	0.0442017
"time capsule"	0.0441408
"melting pot"	0.0439235
motivator	0.0438888
"science fiction"	0.0438172
pleaser	0.0436911
"poker game"	0.0436473
underachiever	0.0435879
"chemical compound"	0.0433452
ploy	0.0433385
trance	0.0431965
shocker	0.0431959
"bad luck"	0.0431793
"Blade Runner"	0.0431444
deliverance	0.0430526
"American Pie"	0.0430221
understatement	0.0429466
shtick	0.0429238
"first word"	0.0429119
"Trojan Horse"	0.0429075
Encyclopedia	0.042891
treatise	0.0428579
slipup	0.0428549
"fantasy world"	0.0428118
"glove compartment"	0.0428118
snafu	0.0427637
superstition	0.0426684
"swing music"	0.0426426
Brasserie	0.0425985
loner	0.0424966
subgenre	0.0424689
"deposit box"	0.0424648
"soap opera"	0.0424585
oxymoron	0.0424225
LIMEY	0.0424086
anachronism	0.0423554
mismatch	0.0423404
"pipe dream"	0.0422203
maxim	0.0422197
"Marshall Plan"	0.0420728
hiccup	0.0420726
anomaly	0.0419215
))
(catcher (desc 56434.8) (sims
shortstop	0.193793
"first baseman"	0.182224
outfielder	0.172343
"third baseman"	0.170054
hitter	0.167937
pitcher	0.160331
"second baseman"	0.156327
"center fielder"	0.143042
"pitching coach"	0.14006
"left fielder"	0.132171
"starting pitcher"	0.131703
infielder	0.127063
"pinch hitter"	0.126835
starter	0.12606
"designated hitter"	0.124318
basemen	0.123986
reliever	0.118216
"right fielder"	0.113801
batter	0.105145
righthander	0.101912
player	0.101768
slugger	0.101751
quarterback	0.0986595
lefthander	0.097028
rookie	0.0962999
"Mike Piazza"	0.0948631
All-Star	0.0925062
DH	0.0924692
"running back"	0.0909003
pitching	0.0906514
linebacker	0.0904231
goalie	0.0897887
"first base"	0.0876417
outfield	0.0869738
"Todd Hundley"	0.0858191
defenseman	0.0846083
receiver	0.0844508
"tight end"	0.0842042
bullpen	0.0838267
backup	0.0826053
manager	0.0798035
"second base"	0.0791301
"Nomar Garciaparra"	0.0786166
lineman	0.0776059
"relief pitcher"	0.0774198
cornerback	0.0774057
hurler	0.0773296
"minor leaguer"	0.0770599
ace	0.0769788
coach	0.0765947
"third base"	0.0756843
lineup	0.0752187
"Derek Jeter"	0.075002
"Scott Brosius"	0.0741135
"general manager"	0.0740416
teammate	0.0726543
umpire	0.0723314
"major leaguer"	0.0721257
fullback	0.0719431
closers	0.0713617
ballplayer	0.0709113
MVP	0.070737
rotation	0.0706612
fielder	0.0706182
Jeter	0.0705673
scout	0.0699362
Piazza	0.0698282
"most valuable player"	0.0689978
"Rey Ordonez"	0.0682544
"Robin Ventura"	0.0681241
bat	0.0678438
"baseball player"	0.0676967
"David Wells"	0.067555
"John Olerud"	0.0672494
"Chuck Knoblauch"	0.0665055
"Bobby Bonilla"	0.066056
Hundley	0.0655172
forward	0.065294
"Carl Everett"	0.0652233
left-hander	0.0650988
guard	0.0649884
"Tino Martinez"	0.0648779
"Jim Leyritz"	0.06481
tackle	0.0646967
"Juan Gonzalez"	0.0644965
switch-hitter	0.0644686
Yankee	0.0644081
"Charles Johnson"	0.0640726
"Alex Rodriguez"	0.063907
"free agent"	0.0638294
"Rickey Henderson"	0.0632664
Kicker	0.063218
tailback	0.0630535
"Jorge Posada"	0.0629289
Garciaparra	0.0625015
"Bernie Williams"	0.0624106
Olerud	0.0623262
guy	0.0622187
"Chipper Jones"	0.0619169
punter	0.0618738
linemen	0.0618608
goaltender	0.0617421
"Mo Vaughn"	0.0614161
Martinez	0.0614041
"Roger Clemens"	0.0611832
Rodriguez	0.0609728
dodger	0.0609568
"Adrian Beltre"	0.0608896
farmhand	0.0603929
Griffey	0.0602154
Knoblauch	0.0601465
dugout	0.0598087
batting	0.059561
Brosius	0.0595512
Sosa	0.0594061
"batting average"	0.0590292
runner	0.0589131
scorer	0.0587809
no-hitter	0.0587686
Alfonzo	0.0585125
McGwire	0.0584985
"Ivan Rodriguez"	0.0584891
"Matt Franco"	0.0582261
"basketball player"	0.0580226
"Ken Griffey Jr."	0.0579421
"Gary Sheffield"	0.0577471
QB	0.0577396
freshman	0.0577308
defensemen	0.0577179
inning	0.057706
"Omar Vizquel"	0.0576546
infield	0.0573827
RBI	0.0571525
"football player"	0.0570033
Vaughn	0.0569335
"Jose Offerman"	0.0566271
at-bat	0.0566184
clubhouse	0.0565916
"Joe Girardi"	0.056548
"Brian Jordan"	0.0561086
"Chad Kreuter"	0.0561022
"Eric Karros"	0.0560118
"Andruw Jones"	0.0559964
Girardi	0.0558051
"Edgardo Alfonzo"	0.0558035
"perfect game"	0.0553714
"John Valentin"	0.0550237
"Mark McGwire"	0.0549451
Williams	0.054901
"home run"	0.0548861
athlete	0.0548035
passer	0.0545968
"base runner"	0.0544504
"Andres Galarraga"	0.0543363
"Todd Zeile"	0.0542837
Grudzielanek	0.0541521
broadcaster	0.053926
roster	0.0538751
"Jay Bell"	0.0537015
hitting	0.0536509
"Ozzie Guillen"	0.0536209
"Jose Vizcaino"	0.053599
"baseball team"	0.0535689
"Paul O'Neill"	0.0534607
pitch	0.053382
"farm team"	0.0533815
"Brian Daubach"	0.0533359
goalkeeper	0.0533338
Posada	0.0533323
Gonzalez	0.0532771
"Harold Baines"	0.0529129
trainer	0.0528062
offense	0.0527454
sophomore	0.0525913
defensive	0.0525366
"Greg Vaughn"	0.0524146
"Ricky Ledee"	0.0523461
"Cal Ripken"	0.0522832
"Bret Boone"	0.0520589
Palmeiro	0.0519831
strikeout	0.0519058
"Kevin Brown"	0.0517994
lefty	0.0517381
"role player"	0.0516693
"David Segui"	0.0516655
shooter	0.0516538
cornerbacks	0.0516299
"left field"	0.0516146
"Mark Grace"	0.0515674
"Ryan Klesko"	0.051537
junior	0.0515212
superstar	0.0514666
sprinter	0.0514621
"Trot Nixon"	0.0514338
"Chili Davis"	0.0513964
"Al Leiter"	0.0513298
rusher	0.0512529
"Jeff Bagwell"	0.0511147
goaltenders	0.0510417
"Roberto Alomar"	0.0509479
))
("catchment area" (desc 2034.29) (sims
"drainage area"	0.0816378
"Yangtze River Valley"	0.0697455
"rainy season"	0.0665837
"pumping station"	0.0659817
lapping	0.06407
bio-diversity	0.0634159
"virgin forest"	0.059257
watershed	0.059144
headwaters	0.0582523
"Export Processing Zones"	0.0554779
"elephant population"	0.0541381
tributary	0.0538839
Stroganoff	0.0536511
Filtration	0.0528759
harbour	0.052699
"almost $@@ billion"	0.0523617
"Dongting Lake"	0.051873
harnessing	0.0516508
wastage	0.0515482
"geographic region"	0.0502165
"past @@ hours"	0.0494928
wetlands	0.048722
"rift valley"	0.0472203
"three schools"	0.0471763
"sacred cow"	0.0463982
boreholes	0.0457439
estuary	0.0453614
"power grid"	0.0451617
"river basin"	0.0446713
EPZs	0.0435906
siltation	0.0432361
Mpumalanga	0.0431105
campsite	0.042771
"security interest"	0.0427006
"paddy field"	0.0426896
"dry season"	0.0426865
"gas well"	0.0424262
"building site"	0.0423976
"traffic circle"	0.0420879
"About @@,@@@ hectares"	0.0415628
purifier	0.0415413
"fertility rate"	0.0414298
"more than @@,@@@ hectares"	0.0411645
desalination	0.0411608
"first five days"	0.0409904
"next @@ hours"	0.040861
"Shan State"	0.0408411
goal-scorer	0.0408052
"about @@@,@@@ hectares"	0.0407633
deliveryman	0.0406921
"East Kalimantan"	0.0406434
"leg bone"	0.0404447
MSF	0.040253
folkways	0.0400968
"tropical rain forest"	0.0400921
"income bracket"	0.0400187
))
("Cate Blanchett" (desc 5925.89) (sims
"Julianne Moore"	0.20922
"Gwyneth Paltrow"	0.200165
"Joseph Fiennes"	0.186211
"Hilary Swank"	0.173385
"Geoffrey Rush"	0.17049
"Janet McTeer"	0.159794
"Billy Bob Thornton"	0.15629
"Ben Affleck"	0.155107
"Judi Dench"	0.149259
"Minnie Driver"	0.144736
"Nigel Hawthorne"	0.141759
"Edward Norton"	0.134339
"Denzel Washington"	0.12799
"Annette Bening"	0.126812
"Meryl Streep"	0.120663
"Halle Berry"	0.120009
"Rupert Everett"	0.119847
"Matt Damon"	0.116625
"Claire Danes"	0.116597
"Kate Winslet"	0.114677
"Robert Duvall"	0.113978
"Jude Law"	0.112696
"Winona Ryder"	0.11267
"Helen Hunt"	0.111476
"Michelle Pfeiffer"	0.111136
"Steve Zahn"	0.109899
"Gillian Anderson"	0.109717
"Kim Basinger"	0.109607
"Jeremy Northam"	0.107817
"Calista Flockhart"	0.106557
"Nick Nolte"	0.105135
"Emily Watson"	0.103054
"Uma Thurman"	0.101515
"Tom Cruise"	0.101463
"Cameron Diaz"	0.0994092
"Michael Caine"	0.0974069
"Catherine Deneuve"	0.096893
"Ian McKellen"	0.0960317
"Julia Roberts"	0.0957767
"Meg Ryan"	0.0957539
"Brenda Blethyn"	0.0951826
"Jodie Foster"	0.094985
"Geena Davis"	0.0937072
"Jennifer Love Hewitt"	0.0932491
"Russell Crowe"	0.0931603
"Drew Barrymore"	0.0924402
"Vanessa Redgrave"	0.091479
"Sharon Stone"	0.09133
"Ed Harris"	0.0909555
"Ewan McGregor"	0.0909403
"Kevin Spacey"	0.0904235
"Penelope Cruz"	0.0902173
"Angelina Jolie"	0.0900469
"Michael Clarke Duncan"	0.0896821
"Brendan Fraser"	0.088153
"Ashley Judd"	0.0862841
"Natasha Richardson"	0.0860812
"Faye Dunaway"	0.0848181
"Ralph Fiennes"	0.0834429
"Sandra Bullock"	0.0834208
"Jeff Bridges"	0.0831974
"Kirsten Dunst"	0.0825621
"Nicolas Cage"	0.0813716
"Kevin Kline"	0.0805642
"Anthony Hopkins"	0.0800676
"Glenn Close"	0.0799586
"Robert de Niro"	0.0796335
"William H. Macy"	0.0794523
"Dame Judi Dench"	0.0793286
"Carmen Electra"	0.079221
"Sean Penn"	0.0791436
"Richard Gere"	0.0783147
"Frances McDormand"	0.0779817
"Nicole Kidman"	0.0773184
"AL PACINO"	0.0771894
"Antonio Banderas"	0.0770291
"Andre Braugher"	0.0770056
"Anne Heche"	0.0767239
"Melanie Griffith"	0.076403
"Haley Joel Osment"	0.0762374
Paltrow	0.0748832
"Jim Carrey"	0.0746595
"Matthew Broderick"	0.0744533
"Ben Stiller"	0.0736747
"David Duchovny"	0.0735181
"Michael Douglas"	0.0729044
"Jennifer Aniston"	0.0728051
"Giovanni Ribisi"	0.0723351
"Cuba Gooding Jr."	0.0723086
"Tom Hanks"	0.0722847
"Johnny Depp"	0.0719284
"Stanley Tucci"	0.0718861
"Jeremy Irons"	0.0718467
"Reese Witherspoon"	0.0714583
"Ian Holm"	0.0707244
"Famke Janssen"	0.0707166
"Christian Bale"	0.0702339
"Helen Mirren"	0.0701081
"Susan Sarandon"	0.0699696
"Roberto Benigni"	0.0695876
"Sela Ward"	0.0695602
"Natalie Portman"	0.0695006
"Holly Hunter"	0.0694683
"Liv Tyler"	0.068889
"Bridget Fonda"	0.0688034
"Billy Crudup"	0.0687437
"Brooke Shields"	0.068446
"Matthew McConaughey"	0.0675191
"Angela Bassett"	0.0673952
"Dennis Quaid"	0.0668981
"Catherine Keener"	0.0663489
"Ethan Hawke"	0.0660314
"Kenneth Branagh"	0.0656454
"John Leguizamo"	0.0654263
"Jane Fonda"	0.0654045
"James Gandolfini"	0.0652409
"Jon Voight"	0.0652185
"Chow Yun-Fat"	0.0644988
"Heather Graham"	0.064472
"Samuel L. Jackson"	0.064455
"Danny DeVito"	0.064267
"Chloe Sevigny"	0.0639123
"Aidan Quinn"	0.0637531
"James Van Der Beek"	0.0636264
"Patrick Stewart"	0.0636187
"Dennis Franz"	0.0635638
"Mark Wahlberg"	0.063473
"William Hurt"	0.0633747
"Kathy Bates"	0.0633251
"Elizabeth Hurley"	0.0629781
"Gene Hackman"	0.0628151
"Kate Hudson"	0.0624708
"JOHN TURTURRO"	0.0621874
"Julie Andrews"	0.0621723
Cleese	0.062054
"Jamie Foxx"	0.0620323
"Sidney Poitier"	0.0618401
"Bill Murray"	0.061566
"Elizabeth I"	0.0609152
"Leonardo DiCaprio"	0.0599313
"Harrison Ford"	0.0597513
"Sean Connery"	0.0597278
"Edward Furlong"	0.0595451
"Paul Newman"	0.0595387
"Whoopi Goldberg"	0.0595057
"David Spade"	0.0594759
"Simple Plan"	0.0593991
"Jennifer Lopez"	0.0593123
"Keanu Reeves"	0.0591315
"John Cusack"	0.0590867
"Pierce Brosnan"	0.0587682
"Joan Allen"	0.0587058
Dench	0.0586982
"Rob Lowe"	0.058579
"Sarah Michelle Gellar"	0.0584016
"Alicia Silverstone"	0.0582915
Elizabeth	0.0582765
"Liam Neeson"	0.0580397
"Gabriel Byrne"	0.0579679
"Hugh Grant"	0.0571004
"Diane Keaton"	0.057088
"Tobey Maguire"	0.0568659
"Jessica Lange"	0.0568286
"Brad Pitt"	0.0567341
"James Coburn"	0.0567149
"Courtney Love"	0.0565821
"Sally Field"	0.0564657
"Mike Myers"	0.0564127
"Kevin Bacon"	0.0563679
"Wesley Snipes"	0.055613
"Vanessa Williams"	0.0554002
"Mel Gibson"	0.0551725
"Janeane Garofalo"	0.0551132
"Kevin Costner"	0.0550318
"Tommy Lee Jones"	0.0548308
"Chevy Chase"	0.054802
"Sigourney Weaver"	0.0544376
swank	0.0542646
"Lynn Redgrave"	0.0541501
"Tyra Banks"	0.0540534
"Taye Diggs"	0.0540111
"Ally Sheedy"	0.0539614
Damon	0.0539062
Camille	0.0535545
"Sarah Jessica Parker"	0.0535223
"Jack Lemmon"	0.0535086
"Norm MacDonald"	0.0534009
"True West"	0.0533075
"Vince Vaughn"	0.053257
"Goldie Hawn"	0.053146
"Denis Leary"	0.0527361
Madonna	0.0527194
"Bill Pullman"	0.0525579
"Marlene Dietrich"	0.0524613
"Kelsey Grammer"	0.0523226
"Robin Williams"	0.0520184
"Brian Dennehy"	0.0518795
"Carol Burnett"	0.0516527
"Robert Redford"	0.0512795
"Richard Dreyfuss"	0.0509825
))
(catechism (desc 979.708) (sims
second-grade	0.134575
third-grade	0.124652
civics	0.11084
sixth-grade	0.110775
"fifth grade"	0.108649
"grammar school"	0.104619
"second grade"	0.103319
"Sunday school"	0.101708
"sixth grade"	0.0961806
aerobics	0.0955797
Caritas	0.0930592
"physical education"	0.09221
"grade school"	0.0888656
eighth-grade	0.0862924
"first grade"	0.0858959
theology	0.0806788
yeshiva	0.0764404
"third grade"	0.0755874
"junior high school"	0.0751127
"senior high school"	0.0722205
K-@@	0.0716293
Adelphia	0.0707775
algebra	0.0705647
yoga	0.0693885
Havelange	0.0690792
"computer programming"	0.0682853
suffrage	0.0681127
"golden rule"	0.0678647
"religious order"	0.0669403
"ballroom dancing"	0.0661508
Talmud	0.0652637
penmanship	0.0648564
mambo	0.064085
seminarian	0.0634427
militarization	0.0629777
"special education"	0.0623166
proverb	0.0617764
gibberish	0.0609132
teachings	0.0608626
"eighth grade"	0.0592972
calculus	0.0580748
prelate	0.0580316
encyclical	0.0577303
shag	0.0574695
Koran	0.0572597
priesthood	0.0565194
karate	0.0558617
highschool	0.0550918
cantons	0.0549242
Socrates	0.0549054
"Lord's Prayer"	0.0543306
ADP	0.0541454
"German language"	0.0539948
"conflict resolution"	0.053288
layman	0.0531651
psalm	0.0530627
sacrament	0.0527067
preamble	0.0524958
"junior high"	0.0524681
"computer language"	0.0524342
Juilliard	0.0524258
"Los Angeles Unified"	0.0514476
"Martin Luther"	0.051415
liturgy	0.0514014
creationism	0.0512229
"HOWARD COSELL"	0.0512042
"Emily Dickinson"	0.0507378
Jonah	0.0506605
"Karl Marx"	0.0499381
Yastrzhembsky	0.0498952
Pu	0.0497983
Javanese	0.0497043
dogma	0.049653
"Weight Watchers"	0.0494517
proletariat	0.0492608
Ruehe	0.0490837
"school girl"	0.0487497
Stamps	0.0487388
"organic law"	0.0487339
Yazdi	0.0486429
Jayakumar	0.0480089
"nursery school"	0.0479353
"sign language"	0.0477065
"Seamus Mallon"	0.0472845
Boueiz	0.047267
"Hail Mary"	0.047025
Suarez	0.0470133
"dance step"	0.0468556
sociology	0.0467187
"Gallup Poll"	0.0466826
Ciampi	0.0466178
one-word	0.0465444
stanza	0.0463088
skiff	0.0462524
"earth science"	0.0462519
Convent	0.0462313
Orban	0.0461024
"social work"	0.0458839
Machel	0.0458308
"opening line"	0.0457045
"police academy"	0.0455795
bashers	0.0453418
Pe	0.0452854
Nzo	0.0452693
adhesion	0.0452165
"adult education"	0.0450322
"Ministry of Trade and Industry"	0.0450276
ethicists	0.0450171
"de Charette"	0.0448428
sixth-graders	0.0447315
GT	0.044592
Reiner	0.0442375
"Johnnie Cochran"	0.044167
"Robert Frost"	0.0439258
Acela	0.0438326
Fink	0.0437957
"Kung Fu"	0.0437808
dollarization	0.0436467
"British government"	0.0434273
choosing	0.0434057
alphabet	0.0432884
Barnard	0.0432673
isolationist	0.0429993
"more than @ billion yuan"	0.0429781
sewing	0.0428861
daycare	0.0428322
"Field Poll"	0.0427437
Nabokov	0.0425587
"feast day"	0.0425414
Modise	0.0424885
carpentry	0.0424583
Crockett	0.0423524
communion	0.0422557
Mandelson	0.0422413
Qigong	0.0420559
Villar	0.041854
Akayev	0.0418267
shaping	0.0417766
birthright	0.0417117
"user fee"	0.0414229
Maharaj	0.0414218
Singson	0.0413562
"Julian Bond"	0.0413242
revivalist	0.0410827
Korman	0.0409926
Bullard	0.0409603
foreword	0.040683
"environmental science"	0.0405913
med	0.0404725
LAUSD	0.0404546
applicability	0.0404358
learner	0.0404136
"U.S. Defense Department"	0.0403593
cruiserweight	0.040353
forensics	0.0403479
"half sister"	0.0402752
pariah	0.0402665
Vaughan	0.040144
Schrempp	0.0401404
"Old Testament"	0.0401221
"Princess Mononoke"	0.0400305
Eizenstat	0.0400289
folio	0.0400134
"ivory tower"	0.0400118
))
(categorization (desc 1458.92) (sims
"wage scale"	0.0724869
unionization	0.0673434
replication	0.0671066
dragnet	0.061022
doomsayers	0.0576276
"law of nature"	0.0569798
planeloads	0.0529777
"data entry"	0.0512507
tacklers	0.0496867
Balkanization	0.0496297
blandishment	0.0492607
assimilation	0.0491684
schematic	0.0489312
explication	0.0484845
"legal principle"	0.0475305
comprehension	0.0467361
eminence	0.0465654
"market expectation"	0.0462413
naysayer	0.0454499
articulation	0.0453674
"ultraviolet light"	0.0445423
axiom	0.043926
olestra	0.0428575
rightness	0.0426144
Masire	0.0424074
targeting	0.0423299
suffrage	0.0418933
inevitability	0.0414285
parsing	0.0412349
raloxifene	0.0410936
Aventajado	0.0410906
leeson	0.0409206
presumption	0.0404574
decontamination	0.0403477
trainload	0.0402915
stent	0.0401892
))
(category (desc 118986) (sims
class	0.0995156
item	0.0930073
type	0.0928805
segment	0.0921697
sector	0.0862
product	0.0834899
division	0.0824516
list	0.0817501
number	0.0799057
"age group"	0.0789156
event	0.0788017
group	0.078083
business	0.0770224
market	0.0770047
award	0.0766364
sport	0.0759988
genre	0.0753396
competition	0.0753298
classification	0.0751342
form	0.0745203
industry	0.0744281
race	0.0732309
area	0.0729672
program	0.0712386
brand	0.0699929
variety	0.0698285
portfolio	0.0697262
range	0.0693943
title	0.0689512
format	0.0686569
name	0.0681592
world	0.0680711
component	0.0679383
contest	0.0679229
percentage	0.06732
fund	0.0663418
kind	0.0662558
amount	0.0660763
field	0.065839
collection	0.0654031
company	0.0650306
service	0.0650054
section	0.0648726
standard	0.0647813
part	0.0646218
system	0.0643964
size	0.064322
subject	0.0641768
case	0.0641675
men's	0.0639052
stock	0.0638751
sale	0.0638378
place	0.0638109
feature	0.0636654
Entertainment	0.0636438
marketplace	0.0634421
grade	0.0628544
country	0.0627524
goods	0.062749
issue	0.0624907
history	0.0624755
rating	0.0622092
model	0.0621016
style	0.0617448
aspect	0.0614226
final	0.0613922
ranking	0.0613061
level	0.0610757
e	0.0608112
term	0.0605783
database	0.0605569
book	0.0604022
import	0.0603921
region	0.0602086
store	0.0601309
piece	0.0600211
niche	0.0599002
commodity	0.0598419
performance	0.0597645
listing	0.0596167
state	0.0594832
material	0.0594433
series	0.0594267
topic	0.0593825
code	0.0593639
transaction	0.0593284
line	0.059223
account	0.0592061
tournament	0.0590026
selection	0.0586591
production	0.058549
value	0.0585358
pattern	0.0585144
content	0.0583476
medal	0.0582078
position	0.0580608
package	0.0580384
prize	0.0578704
concept	0.0578049
export	0.0577844
choice	0.0576949
site	0.0576771
definition	0.057561
individual	0.0574969
pool	0.0573239
criteria	0.0572961
each	0.0571635
menu	0.0570437
spot	0.0569499
lineup	0.0569468
software	0.0569239
activity	0.056758
quality	0.0567563
catalog	0.0566912
page	0.0566825
game	0.0566785
team	0.0565419
context	0.0565233
location	0.0564555
role	0.0563956
vehicle	0.0561334
freestyle	0.0560116
application	0.0556758
version	0.0555242
element	0.0554838
act	0.05533
championship	0.0550944
volume	0.0550911
B	0.0550379
marathon	0.0550356
folder	0.0550148
shipment	0.0549725
design	0.0548952
option	0.0548702
rank	0.054784
league	0.0547775
programming	0.0547677
stage	0.0546962
enterprise	0.0544258
food	0.0544063
index	0.0543973
tier	0.0543943
question	0.0543831
theme	0.0543684
specie	0.0543499
channel	0.054269
project	0.054266
portion	0.0542333
price	0.0541027
Computer	0.053984
"mutual fund"	0.0539609
structure	0.0537622
slot	0.0537336
magazine	0.0537089
directory	0.0536703
technology	0.0536637
domain	0.0534802
manufacturer	0.0534625
language	0.0534607
quarter	0.0534426
profile	0.0534023
profession	0.053272
picture	0.0532057
job	0.0531811
those	0.0530975
factor	0.0530579
retailer	0.053016
backstroke	0.052974
round	0.0529331
nation	0.0528821
color	0.0528321
development	0.0528241
news	0.0528066
Universe	0.0527407
parameter	0.0527313
trend	0.052688
record	0.0526623
function	0.0526245
space	0.0525586
offering	0.0525493
status	0.0525307
offense	0.0524274
art	0.0524234
entry	0.0523883
P	0.0523754
s	0.0523595
realm	0.0523521
phase	0.052338
gold	0.052206
distribution	0.0521779
measure	0.0521425
room	0.0520679
winner	0.0520652
requirement	0.0520507
asset	0.0520434
school	0.05204
some	0.0520359
description	0.0520203
total	0.051841
constituency	0.0518302
))
("Category @" (desc 1781.32) (sims
pugilist	0.111747
kph	0.102382
lashing	0.0812212
F@	0.073857
Typhoon	0.0727396
Galveston	0.071398
gale	0.0666034
"Hurricane Hugo"	0.0645114
"personality disorder"	0.0639405
"Level @"	0.0634645
cyclone	0.0621654
prizefighter	0.0596865
Lazarus	0.0562212
sleuthing	0.0556196
"neurological disease"	0.055478
twister	0.0550584
"nearly $@@"	0.0546889
"rock bottom"	0.0540251
"personal appeal"	0.0536761
lightening	0.0532808
hailstorm	0.0524453
"Florida Keys"	0.0518181
gust	0.0510134
hailstone	0.05098
octave	0.0503231
"warm front"	0.0472784
"genetic disease"	0.0471366
"Richard Jefferson"	0.0450807
"solar flare"	0.0446545
monsoon	0.0445174
Steamship	0.0441726
"jet stream"	0.043888
Qomolangma	0.0438404
"written agreement"	0.0436221
"Division I-AA"	0.043285
"Community Reinvestment Act"	0.0430973
minus-@@	0.0429168
"cold front"	0.0428958
"Halle Berry"	0.0428659
"San Felipe"	0.0426374
"GI Joe"	0.0426235
updraft	0.0424751
"six billion"	0.0423817
puncher	0.042257
top-class	0.0419251
"volcanic eruption"	0.041805
"Central American"	0.0416712
temblor	0.0416603
"Yucatan Peninsula"	0.0414163
Frankenstein	0.0411961
"trump card"	0.0408887
"free port"	0.0407078
NTR	0.0406873
"white elephant"	0.0405792
Camille	0.0402765
Nivel	0.0401094
))
(caterer (desc 6132.46) (sims
florist	0.118561
"food shop"	0.0965408
"dry cleaner"	0.0927003
decorator	0.0921941
restaurateur	0.0900215
landscapers	0.0844775
delicatessen	0.0842626
"butcher shop"	0.0815391
hotelier	0.0802109
bakery	0.0793574
"interior designer"	0.0781053
chef	0.0754714
nightspots	0.0744845
designer	0.0744776
"travel agency"	0.0743875
tavern	0.0743319
"liquor store"	0.0742691
wholesaler	0.0739504
grocer	0.0735663
"art gallery"	0.0717718
"fashion designer"	0.0715099
"certified public accountant"	0.0713037
jeweler	0.0712218
deli	0.0701689
plumber	0.0700831
"shipping company"	0.0677975
eateries	0.0675432
bistro	0.0674227
stockbroker	0.0659781
accountant	0.065791
"real estate agent"	0.0656757
resellers	0.0656412
"ad agency"	0.0654998
"travel agent"	0.0653491
boutique	0.0647883
bartender	0.0642474
socialite	0.0640419
"ticket agent"	0.0636604
stylist	0.0635689
waiter	0.0634907
Steakhouse	0.0631246
bookstore	0.062171
"venture capitalist"	0.0620974
"financial officer"	0.0620503
vendor	0.0617291
foodies	0.0616383
winemaker	0.0616051
"child welfare agency"	0.0614697
"advertising agency"	0.0613895
"insurance broker"	0.0609605
"sports fan"	0.0607496
trader	0.0605321
technician	0.060315
builder	0.0596266
steelmaker	0.0594204
publicist	0.0591805
"private investigator"	0.0591709
"computer programmer"	0.0591599
"department store"	0.0589912
CPA	0.0588462
"coffee shop"	0.0585317
contractor	0.0584778
distributor	0.0584703
spas	0.0577712
"car manufacturer"	0.0577549
supermarket	0.0576907
"service station"	0.0574715
veterinarian	0.0573906
drugstore	0.0570851
"disc jockey"	0.0565239
butcher	0.056393
bookshop	0.0561981
"gift shop"	0.0560998
"software engineer"	0.0560869
"jewelry store"	0.0560625
brokerage	0.0559948
merchant	0.0558216
"food company"	0.0557556
nightclub	0.055725
electrician	0.0556889
photographer	0.0556337
"home builder"	0.0554799
technologist	0.0552115
"recording studio"	0.0549538
"plastic surgeon"	0.0548761
hostess	0.0547525
appraiser	0.054597
parlor	0.0545078
salesmen	0.0544785
saloon	0.0544522
"real estate broker"	0.0544165
"accounting firm"	0.0543702
"car dealer"	0.0542334
"investment adviser"	0.0542139
installers	0.0539634
"clothing store"	0.0539574
Realtor	0.0538194
"social scientist"	0.0536015
"grocery store"	0.0535366
"corporate executive"	0.0533558
Lollar	0.0530795
preparers	0.0530144
animators	0.0529353
chiropractor	0.0528328
Brasserie	0.0527524
psychologist	0.0526668
temp	0.0524161
"insurance agent"	0.0516272
artisan	0.0514587
fireman	0.0510414
manicurist	0.0507784
banker	0.0506832
"management consultant"	0.050668
Clothier	0.0506275
gardener	0.050597
collector	0.0504964
carpenter	0.050251
hangout	0.0502489
psychic	0.0501234
diner	0.0500801
purveyor	0.0500522
psychoanalyst	0.0500263
"investment banker"	0.0496217
Coelho	0.0496103
optometrist	0.049606
landlord	0.0495897
"toy store"	0.0495163
marketers	0.0494561
"retail chain"	0.0493147
auctioneer	0.0491922
"trucking company"	0.0491382
masseuse	0.0490861
shopkeeper	0.0489505
deejay	0.0489406
hauler	0.0488914
shipper	0.0488711
housekeeper	0.0487883
mechanic	0.0487489
pizzeria	0.0486415
clerk	0.0486065
conductor	0.0485756
"temporary worker"	0.0484403
aficionado	0.0483028
"bus company"	0.0481331
outfitter	0.048036
"chain store"	0.0480172
slaughterhouse	0.0479657
welder	0.0478784
condo	0.0478398
ghostwriter	0.0477836
"tea house"	0.0477754
discotheque	0.0477373
pub	0.0472949
Programmer	0.0471242
salespeople	0.04712
roaster	0.046952
"truck driver"	0.0468878
actuary	0.0467996
"spin doctor"	0.0467898
"social worker"	0.0467096
"retail store"	0.0466875
"brokerage house"	0.0466462
"newspaper publisher"	0.0466084
teahouse	0.0464777
planner	0.0464195
"talent agent"	0.0464164
stewardess	0.0463504
"auction house"	0.0462392
"landscape architect"	0.0461693
"shopping center"	0.0461541
"art dealer"	0.0460741
"flight attendant"	0.0459905
nanny	0.0459624
"entertainment center"	0.0459532
coffeehouse	0.0459456
filmmakers	0.0459284
"life insurer"	0.045682
craftsmen	0.045679
"computer expert"	0.0456458
pharmacist	0.0455574
steward	0.0452963
schoolteacher	0.0452533
"gas station"	0.0452045
housewife	0.045177
gatherer	0.0451215
"beauty shop"	0.0450243
grower	0.0449986
"bus driver"	0.0449978
subcontractor	0.0449108
busboy	0.0447341
laborer	0.0446835
"funeral home"	0.0446634
pediatrician	0.0446231
dietitian	0.0446117
cinematographer	0.0444832
deejays	0.0444075
"Tim Floyd"	0.0443144
waitress	0.0442924
dermatologist	0.044287
Airlines	0.0442558
))
(catering (desc 11302.6) (sims
shipbuilding	0.101579
warehousing	0.10031
metallurgy	0.0990983
banking	0.0888722
manufacturing	0.0887198
transportation	0.0885817
retail	0.0862881
forwarding	0.0840024
"garbage collection"	0.0838951
handicraft	0.0834907
dining	0.0833622
"chemical industry"	0.0833284
telecommunication	0.0826195
tourism	0.081777
"real estate"	0.0817701
processing	0.0817346
"building material"	0.0803657
"data processing"	0.0791458
"recreational facility"	0.0788124
consultancy	0.0787734
"information service"	0.078276
shipping	0.0777348
sightseeing	0.077622
retailing	0.0767763
mining	0.0759336
engineering	0.0756884
"public utility"	0.0753543
bioengineering	0.0747305
"information technology"	0.0746448
petrochemical	0.0745365
"chain store"	0.074259
recreation	0.073824
healthcare	0.0735521
pharmaceutical	0.0734137
hairdressing	0.0730277
refining	0.0729821
machine-building	0.0716908
Trucking	0.0716578
hospitality	0.0712238
Housing	0.0710594
Microelectronics	0.0708652
refrigeration	0.0705254
forestry	0.0702721
vending	0.0697345
marketing	0.068999
maintenance	0.0687522
Entertainment	0.0687173
lodging	0.0680484
aviation	0.0675848
textile	0.0671758
electronics	0.0670836
aquaculture	0.0666699
insurance	0.0664296
accommodation	0.0662219
"high technology"	0.0655768
"health care"	0.0653202
aerospace	0.0642706
bakery	0.0641596
biotechnology	0.0638456
logistics	0.0638128
Telecoms	0.0630105
agriculture	0.0626874
communication	0.0619542
"dry cleaning"	0.0616757
"household appliance"	0.0615225
"life science"	0.0612976
disservice	0.0612653
"vocational training"	0.0602595
fishery	0.0601638
shopping	0.0600606
high-tech	0.060043
"animal husbandry"	0.0595551
eateries	0.0594649
cleaning	0.0592648
automation	0.059169
"civil engineering"	0.0590935
distribution	0.0590343
wholesale	0.05874
broadcasting	0.0586461
"health service"	0.0585641
laundry	0.0585414
sanitation	0.0585302
aeronautics	0.0584197
"building product"	0.0582718
"urban planning"	0.05791
beverage	0.0575015
"medical care"	0.0573572
"travel agency"	0.0569172
"customer service"	0.0568459
"data communication"	0.0567582
foodstuff	0.0566912
Advertising	0.0565278
"specialty chemical"	0.0563371
state-owned	0.0563229
"construction industry"	0.0562176
publishing	0.0561921
"social service"	0.0561191
contracting	0.0561069
babysitting	0.0560973
"communications service"	0.0560628
printing	0.0554386
conservancy	0.0554187
outreach	0.0553112
"computer hardware"	0.0552228
medical	0.055071
"food shop"	0.0550011
Gaming	0.0549347
commerce	0.0548587
accountancy	0.0548454
storage	0.054764
"nursing care"	0.0547358
agribusiness	0.0546351
packaging	0.0543011
"coffee shop"	0.0533933
"home appliance"	0.0533906
horticulture	0.0533416
B@B	0.0533201
infrastructure	0.0530257
spas	0.0527553
resale	0.0524579
confectionery	0.0522282
"funeral home"	0.0519703
nursing	0.0519344
petroleum	0.0518001
"road construction"	0.0517948
footwear	0.0517109
computing	0.05133
networking	0.0512232
housekeeping	0.050912
"consumer credit"	0.0508828
catnip	0.0508572
leisure	0.0507189
conservation	0.0506812
responsiveness	0.0505082
husbandry	0.0502856
teahouse	0.0499407
"child care"	0.0498026
"public service"	0.0494866
"interior decoration"	0.0494665
freight	0.0492239
"retail store"	0.0489054
accounting	0.0488312
navigation	0.0488204
"electric power"	0.0488033
telephony	0.0487634
tailoring	0.0487307
"health food"	0.0486947
"food product"	0.0485701
garment	0.0484029
daycare	0.0483587
procurement	0.0483327
grocery	0.0481931
"sales promotion"	0.0481424
"business development"	0.0481192
"public security"	0.0480954
sawmill	0.0478453
brokerage	0.0477403
"consumer loan"	0.0476992
automobile	0.0476773
"clothing store"	0.0474413
rental	0.0473859
hydropower	0.0473593
reinsurance	0.0472981
hedging	0.0470822
auto	0.046913
cafeteria	0.0468649
"social welfare"	0.0465711
machinery	0.0465098
Telecom	0.0464335
"city planning"	0.0463819
gambling	0.0463812
barter	0.0462263
knitwear	0.0461049
carpentry	0.0460787
aquatics	0.0460445
e-commerce	0.0460307
"postal service"	0.0459649
booking	0.0458346
"retail sale"	0.0457198
forecasting	0.0455168
"life insurance"	0.0453582
"communications technology"	0.0453345
"consumer electronics"	0.0452118
attractiveness	0.045052
"air travel"	0.0449129
merchandising	0.0448797
"water supply"	0.0448741
"entertainment center"	0.0447202
"garbage disposal"	0.0445427
mailing	0.0443023
"higher education"	0.0442958
woodworking	0.0442553
hardware	0.044118
"product development"	0.0441056
canteen	0.0440942
Pharmacy	0.044039
caterer	0.043963
boutique	0.0438619
"mail order"	0.0437767
telemarketing	0.0435881
))
(Caterpillar (desc 11029.1) (sims
"Procter &AMP; Gamble"	0.166719
Alcoa	0.163511
"General Electric"	0.138814
larvae	0.135094
Dupont	0.13111
"American Express"	0.125799
Merck	0.12474
"International Paper"	0.124386
Hewlett-Packard	0.121527
"Union Carbide"	0.120694
Chevron	0.120118
"General Motors"	0.115614
"Johnson &AMP; Johnson"	0.113903
Citigroup	0.110119
"Philip Morris"	0.10457
"Micron Technology"	0.103908
"Exxon Mobil"	0.101569
"Eastman Kodak"	0.100753
IBM	0.0988551
Motorola	0.0982961
Exxon	0.0971632
"United Technologies"	0.0956224
"J.P. Morgan"	0.0937161
"Lucent Technologies"	0.0921562
Cisco	0.0915835
Kodak	0.0910911
Compaq	0.0895842
Intel	0.0881828
"Compaq Computer"	0.0877441
Honeywell	0.0867293
"Dell Computer"	0.0840432
Gillette	0.0837068
"Applied Materials"	0.0828937
Coca-Cola	0.0806256
Pfizer	0.0798676
Boeing	0.0797317
moth	0.0778519
"Motorola Inc."	0.0764986
Ericsson	0.076156
"Cisco Systems"	0.0760667
"Adobe Systems"	0.0754536
Texaco	0.0749178
"Learning Co."	0.074802
locust	0.0747317
"Texas Instruments"	0.0744796
"Bristol-Myers Squibb"	0.0738944
NIKE	0.0738002
Qualcomm	0.0736767
Xerox	0.0736076
Unisys	0.0735118
"JDS Uniphase"	0.0734923
ant	0.0725949
insect	0.0725047
"Cisco Systems Inc."	0.0724306
Nokia	0.0724294
Delphi	0.0723915
Unilever	0.0723241
"Legend Group"	0.07181
Nortel	0.0711944
Mobil	0.0705915
Weyerhaeuser	0.0704485
Raytheon	0.0703831
"Boeing Co."	0.0701947
Lockheed	0.0691269
"Levi Strauss"	0.0687555
oracle	0.068482
"Ford Motor"	0.0683168
"Allied Signal"	0.0677934
Monsanto	0.0676368
"P&AMP;G"	0.0674721
"Lockheed Martin"	0.0670156
"Advanced Micro Devices"	0.0660471
Clorox	0.0659527
Goodyear	0.0658359
Cargill	0.0655361
"Merrill Lynch"	0.0653765
Volkswagen	0.065047
"Dow Chemical"	0.0649589
Ge	0.0647617
Enron	0.0646891
"McDonnell Douglas"	0.0643934
Georgia-Pacific	0.0643915
TRW	0.0640938
Alcatel	0.0640178
"Apple Computer"	0.0637588
Schering-Plough	0.0637446
Bristol-Myers	0.0635516
grasshopper	0.063542
ARCO	0.0632483
AlliedSignal	0.0631597
Polaroid	0.0629959
UAL	0.0626671
Lucent	0.0625326
Sears	0.0624515
Anheuser-Busch	0.0624325
Dell	0.0621334
TYCO	0.0616369
Bestfoods	0.0614622
"Glaxo Wellcome"	0.0613636
Toyota	0.0613065
"Dell Computer Corp."	0.0612218
Kellogg	0.060933
whirlpool	0.0605888
"Hewlett-Packard Co."	0.0604831
mite	0.0604023
"NEC Corp."	0.0601047
"Sun Microsystems"	0.0598463
"Wal-Mart Stores"	0.059515
Colgate-Palmolive	0.0587374
BankAmerica	0.0585822
spider	0.0584692
"Coca-Cola Co."	0.0584334
rodent	0.0584306
"HSBC Holdings"	0.0583351
termite	0.0582852
DaimlerChrysler	0.0579775
"Hewlett Packard"	0.0579295
NEC	0.0576175
Aetna	0.0575726
Embraer	0.0573325
"Eli Lilly"	0.057232
Corning	0.0571976
SmithKline	0.056969
"Pharmacia &AMP; Upjohn"	0.0569288
"J&AMP;J"	0.0568984
adidas	0.0565056
Sunbeam	0.0564814
"EMC Corp."	0.0563835
"American Home Products"	0.0562701
Mattel	0.0561904
"Smith &AMP; Wesson"	0.0561349
Ford	0.0561293
Amgen	0.0560929
"Dayton Hudson"	0.0560546
"Ford Motor Co."	0.0558693
Novartis	0.0557289
"Bank of America"	0.0555809
MCDONALD's	0.0553185
"Coca Cola"	0.055197
Reebok	0.0551238
AMP	0.0551039
"Deutsche Bank"	0.055006
Bayer	0.0548078
"Hitachi Ltd."	0.0546147
Halliburton	0.0544471
AmeriTrade	0.0544163
McKesson	0.0543593
Maytag	0.0543152
Amoco	0.0540639
"Charles Schwab"	0.0540467
"UAL Corp."	0.0539008
Hasbro	0.0537322
Genentech	0.0536872
"Home Depot"	0.0535669
"Pratt &AMP; Whitney"	0.0532606
CCE	0.0530202
Pepsico	0.0529307
EMC	0.0525665
BASF	0.052498
"First Union"	0.052456
"Intel Corp."	0.0523508
coke	0.0522387
"Chase Manhattan"	0.051962
"Campbell Soup"	0.0519451
Seagram	0.0519134
kudzu	0.0518096
Schlumberger	0.0518002
Wal-Mart	0.0516404
AstraZeneca	0.0515715
"Sara Lee"	0.0515038
Citibank	0.0514809
REVLON	0.0514468
AMR	0.0514262
adobe	0.0513657
worm	0.0511807
Agilent	0.0511536
ladybug	0.0511519
MiniMed	0.051073
mice	0.0508448
"Nortel Networks"	0.0508019
Seagate	0.0507063
"SmithKline Beecham"	0.0506591
Volvo	0.0505833
"Compaq Computer Corp."	0.0505759
AMD	0.0503764
"Ask Jeeves"	0.0503173
"International Business Machines Corp."	0.0502507
Westinghouse	0.0502349
ETrade	0.0501382
Hitachi	0.050095
"BP Amoco"	0.0500058
ALZA	0.0498985
Fiat	0.0496169
"Oracle Corp."	0.0495673
"General Motors Corp."	0.0494254
Hughes	0.0492732
Sony	0.0492086
"Fidelity Investments"	0.0490702
Warner-Lambert	0.0490245
Intuit	0.0489686
))
(Catfish (desc 9622.64) (sims
trout	0.149833
crawfish	0.138958
salmon	0.134726
shrimp	0.134709
halibut	0.134388
"red snapper"	0.126914
"striped bass"	0.126758
flounder	0.125828
sturgeon	0.121986
walleye	0.121462
lobster	0.116074
bluefish	0.115818
"sea bass"	0.112705
Whitefish	0.109049
steak	0.108693
oyster	0.107914
tuna	0.105323
eel	0.104957
fish	0.104784
tilapia	0.104542
prawn	0.104241
"Atlantic salmon"	0.10267
chicken	0.101763
seafood	0.0986821
"chicken breast"	0.0975433
crab	0.0959997
meatloaf	0.0951558
redfish	0.0941701
scallop	0.0938399
"brown trout"	0.0928384
grouper	0.0913339
chop	0.0909001
monkfish	0.0895333
sausage	0.0891851
ham	0.0891577
mackerel	0.0885642
okra	0.0881933
potato	0.0878946
bullfrog	0.0862406
clam	0.0858748
pork	0.0856982
steelhead	0.0849651
calamari	0.0849523
"pot roast"	0.0839342
pasta	0.0835714
salad	0.0823515
"filet mignon"	0.0811238
mussel	0.0803078
cod	0.078694
carp	0.0786816
"french fries"	0.0783259
swordfish	0.0781558
tarpon	0.0780172
noodle	0.0778071
herring	0.0773301
shad	0.0762914
cutlet	0.0758692
Bass	0.075642
spaghetti	0.0753796
"chicken salad"	0.0751393
mushroom	0.0746116
"sweet potato"	0.0744634
shellfish	0.0737321
fillet	0.0727649
beef	0.0727334
meatball	0.0723934
squid	0.0719815
anchovy	0.0711572
meat	0.0708966
snapper	0.0708252
tofu	0.0706804
brisket	0.07018
Hamburger	0.0701409
venison	0.0700605
"smoked salmon"	0.0698729
eggplant	0.0691583
turtle	0.0689577
bacon	0.0682242
bean	0.0681564
pea	0.0679747
onion	0.0673804
crayfish	0.067036
pie	0.0668145
"chocolate cake"	0.065971
alligator	0.0659675
tomato	0.0658261
vegetable	0.0657447
Lasagna	0.065674
veal	0.0654137
gumbo	0.0651966
caviar	0.0647286
"rainbow trout"	0.0645651
striper	0.0644969
sushi	0.0643472
kangaroo	0.0642927
poultry	0.0636812
spinach	0.063579
ostrich	0.0634229
corn	0.0633218
"Caesar salad"	0.0629255
lamb	0.0626513
"roast beef"	0.06262
goldfish	0.062467
Chili	0.0620459
plantain	0.0617714
cake	0.0615179
"green bean"	0.061515
asparagus	0.0613867
rib	0.0611467
"foie gras"	0.0610419
"black-eyed pea"	0.0605306
risotto	0.0601226
pancake	0.0591937
sandwich	0.0591437
"chicken wing"	0.0589896
"collard greens"	0.058457
carrot	0.058126
"raw meat"	0.0580991
bread	0.0579503
croutons	0.0579407
crocodile	0.0577042
egg	0.0576267
artichoke	0.057445
polenta	0.0573266
gravy	0.0572555
muffin	0.0568023
goose	0.0567771
"scrambled egg"	0.056776
cornbread	0.0566717
quail	0.0566313
zucchini	0.0565692
abalone	0.0563485
"brook trout"	0.0560242
seaweed	0.0559626
snail	0.0559014
Pudding	0.0558651
burgers	0.0557934
"macaroni and cheese"	0.0553323
rabbit	0.0553255
Collard	0.055224
Yucca	0.0550871
tenderloin	0.0550017
sardine	0.0547189
pumpkin	0.0546369
soup	0.0544987
pike	0.0544568
"fish fillet"	0.0544532
cassava	0.0543791
crustacean	0.0543435
"green salad"	0.0542597
FRY	0.0540369
veggie	0.0539602
pizza	0.0539115
hog	0.0537611
doughnut	0.0537357
"pork tenderloin"	0.0535608
crabs	0.0534099
octopus	0.0533837
squirrel	0.0533373
omelet	0.0532524
biscuit	0.0531808
dumplings	0.0531292
dumpling	0.0528639
yam	0.0526896
macaroni	0.052655
Broccoli	0.0523356
lentil	0.0522317
minnow	0.0520028
mutton	0.0519462
"beef tenderloin"	0.0517114
"potato salad"	0.0506168
plankton	0.0503974
cheese	0.0503959
cheeseburger	0.0498232
burger	0.0498229
paella	0.0498112
"cream puff"	0.0497788
geese	0.0496814
"coho salmon"	0.0494781
"chocolate mousse"	0.0493339
"brown rice"	0.0490142
"black bean"	0.0488682
TARTARE	0.0483788
"king salmon"	0.0483145
Garlic	0.0481081
shortcake	0.0480396
"pumpkin pie"	0.0478486
dairy	0.0477595
leek	0.0473258
barbecue	0.047276
"hot dog"	0.0471279
pastry	0.0470021
squash	0.0469594
Souffle	0.046701
pickle	0.0466023
fajitas	0.0463566
"peanut butter"	0.0462576
tortoise	0.0461598
curd	0.0460767
sauce	0.0458754
))
(catharsis (desc 2890.03) (sims
escapism	0.088956
epiphany	0.0871166
"shock therapy"	0.0836669
no-brainer	0.0764509
"guardian angel"	0.074819
absolution	0.0740229
validation	0.0739337
exorcism	0.0739162
"breathing room"	0.0723436
equilibrium	0.0716311
wallop	0.0710606
vindication	0.0701225
atonement	0.06961
penance	0.0696025
poignancy	0.0690093
"traffic cop"	0.0686861
groundswell	0.0685446
misperception	0.0680698
corrective	0.0677427
"numbers game"	0.066887
letdown	0.065591
"civic pride"	0.0654822
smooch	0.0653595
sustenance	0.0653206
indignity	0.0652969
intimacy	0.0652167
"social contract"	0.0645641
wholeness	0.0644883
Awakening	0.0643804
whammy	0.064081
"drawing card"	0.0628977
theatricality	0.0621927
"break of serve"	0.0617258
redemption	0.0616768
cockiness	0.0616711
disgrace	0.0616657
outpouring	0.0610956
"breathing space"	0.0610538
"tax advantage"	0.0608265
reassurance	0.0603373
gratification	0.0600563
"high-water mark"	0.059862
nourishment	0.059817
"magic bullet"	0.0596993
"safety valve"	0.0586466
tutorial	0.0584713
"punch line"	0.0580014
"morale booster"	0.0579652
metamorphosis	0.0576729
"safe harbor"	0.0572662
euphoria	0.0572229
corroboration	0.0571981
eccentricity	0.0570955
connectedness	0.0568639
comeuppance	0.056537
"waiting game"	0.0557238
solitude	0.0552836
exhilaration	0.0552011
mismatch	0.0547428
"guessing game"	0.0544724
empathy	0.0544276
shakeout	0.0543969
homecoming	0.0543755
adulation	0.0540842
culpa	0.0540259
payoff	0.0540239
intangible	0.0538786
customization	0.0538201
"dress rehearsal"	0.0538159
"identity crisis"	0.05379
"rallying point"	0.0536541
unreality	0.0536317
Bedlam	0.0536189
"credit system"	0.0535893
karma	0.0535567
powerlessness	0.0535362
bonhomie	0.0535094
enticement	0.053485
pity	0.0533755
transcendence	0.053207
rebirth	0.053014
"piece of cake"	0.0529892
naivete	0.0529488
jingoism	0.0528447
madness	0.0526679
healing	0.0525798
"parlor game"	0.0524327
denouement	0.0523454
Must-See	0.0522062
sensationalism	0.0521683
"deja vu"	0.0518042
savagery	0.0517721
nobility	0.0516136
bonanza	0.0512639
"quid pro quo"	0.0512614
hand-wringing	0.0511706
self-awareness	0.0511054
"measuring stick"	0.0510527
sadness	0.0509904
cakewalk	0.0509461
"whipping boy"	0.0509035
unanimity	0.0508376
savior	0.050777
amenity	0.0507675
"Trojan Horse"	0.0506383
vasectomy	0.0506349
orgy	0.0505803
trauma	0.0504186
Grounding	0.0503655
bewilderment	0.0503006
solidity	0.0502892
succor	0.0502655
weariness	0.0502038
agony	0.0501676
"support system"	0.0501286
pathos	0.0499484
subtlety	0.0498926
relaxation	0.0498362
"medical exam"	0.0496804
shortcut	0.0495544
hubris	0.0494664
clearinghouse	0.0494144
overstatement	0.0493005
"peace of mind"	0.0492579
"white knight"	0.0491405
affirmation	0.0490865
palliative	0.0490061
togetherness	0.0489166
giddiness	0.0487805
hilarity	0.0487768
apotheosis	0.0487269
Correction	0.0487137
"economies of scale"	0.0486649
"role model"	0.0486136
lovefest	0.0485879
resonance	0.0484458
roadmap	0.0483791
"standing room"	0.0482935
"bad luck"	0.0481476
"nervous breakdown"	0.0479285
rapport	0.047856
soul-searching	0.0477939
polity	0.0476978
hiccup	0.0476942
ballast	0.0476912
anarchy	0.0476716
Catch-@@	0.04763
foreboding	0.0476211
disquiet	0.0475399
send-off	0.0474799
craziness	0.0474161
pleaser	0.0473296
"dry run"	0.0471285
numbness	0.047114
progression	0.0470458
perversity	0.0470348
contentment	0.0470086
"soft spot"	0.0469963
Burnout	0.0469634
"reference point"	0.0468863
sameness	0.0467942
socializing	0.046759
storyline	0.0466471
levity	0.0466365
"history lesson"	0.0466344
hopefulness	0.046605
synergy	0.0465818
coincidence	0.0465683
aplenty	0.0464532
defensiveness	0.0464173
shocker	0.0463846
"fire drill"	0.0463559
consolation	0.046339
lightness	0.0463062
"Christmas present"	0.0462903
touchstone	0.0462274
hassle	0.0461734
immortality	0.0461314
spanking	0.046129
exaggeration	0.0461141
bonding	0.0459871
"clean slate"	0.0459487
radiance	0.045944
"trump card"	0.0459251
self-indulgence	0.0459145
fullness	0.0458951
"background noise"	0.045798
reverence	0.0457731
suspense	0.0457508
"Marshall Plan"	0.0456019
"great year"	0.0455096
tradeoff	0.0454957
pratfalls	0.0453912
smugness	0.0451774
Minuet	0.0451723
flak	0.0451459
"day of reckoning"	0.0450572
voyeurism	0.0450465
stoppage	0.0450047
sophistication	0.0449764
))
(Cathay (desc 2787.77) (sims
JAL	0.164058
"Cathay Pacific"	0.147459
SAA	0.135079
"America West"	0.131194
"Korean Air"	0.128148
"Advanced Micro"	0.124783
"Air Canada"	0.124725
TWA	0.123092
"Cathay Pacific Airways"	0.121591
"Air France"	0.115984
NiSource	0.115297
AMR	0.1152
Garuda	0.112337
"China Airlines"	0.112009
Lufthansa	0.111039
USEC	0.110066
"El Al"	0.109316
"Thai Airways"	0.109229
"British Airways"	0.109135
"Gulf Air"	0.108525
MEA	0.108314
Qantas	0.107489
"United Airlines"	0.105382
"Times Co."	0.105221
NORTHROP	0.103451
"Alaska Airlines"	0.10283
BNFL	0.101889
"P&AMP;G"	0.10159
"Kenya Airways"	0.100956
"US Airways"	0.100668
"Delta Air Lines"	0.100658
Massport	0.100448
"Ethiopian Airlines"	0.0999914
XYLAN	0.0991091
Paxson	0.0981404
RJR	0.098065
Asda	0.0973614
Fedex	0.0966861
JAT	0.0961008
AIRTRAN	0.0943739
"blue angel"	0.0943532
Ba	0.0939782
EgyptAir	0.0938424
ExciteAtHome	0.0926669
"Air China"	0.0925177
"Continental Airlines"	0.0924341
Aeroflot	0.0922179
"American Airlines"	0.0921398
Swissair	0.0914931
"South African Airways"	0.0913308
MTA	0.0912814
Livent	0.0911456
ATC	0.0907815
delta	0.0905593
Northpoint	0.0903011
CCA	0.0901794
Sunbeam	0.0897871
Eurotunnel	0.0897217
JetBlue	0.0894813
LVMH	0.0891646
Aeromexico	0.0887864
KLM	0.0881786
Seagate	0.0880228
"Thermo Electron"	0.0870086
"Northwest Airlines"	0.0865847
McKesson	0.0863262
ABSA	0.0856449
CCE	0.0849358
BCE	0.0848183
"Southwest Airlines"	0.0843342
TDC	0.0837146
Medtronic	0.0833867
Ansett	0.0833151
"Phelps Dodge"	0.0829822
"Vietnam Airlines"	0.0829775
Daimler	0.0816001
Lockheed	0.0815984
NTL	0.0814741
"Con Ed"	0.0809604
Airlines	0.0804848
Autodesk	0.0801408
Aetna	0.080003
USAir	0.0799447
CBK	0.0799121
"U.S. Air Force"	0.0795698
PLDT	0.0794643
UAL	0.0791052
"Reno Air"	0.0790868
F.A	0.0787532
"De Beers"	0.078626
BofA	0.0783842
IEC	0.0782394
Alitalia	0.0781166
Penney	0.0778334
Kyprianou	0.0776269
"America West Airlines"	0.0775311
WPP	0.0772972
"Pacific Century"	0.0772032
"Trans World Airlines"	0.0768878
"Beth Israel"	0.0768866
ENTERGY	0.0768296
NatWest	0.0765173
Lucasfilm	0.0763958
Caldor	0.0759009
"National Grid"	0.0758417
"Rite Aid"	0.0755803
Starwood	0.075223
USAID	0.0746919
Gilead	0.0746545
Lilco	0.0743817
FAA	0.074202
"Air Lanka"	0.0740058
"First Union"	0.073949
"Philippine Airlines"	0.0738256
Overnite	0.0738066
CAA	0.0737076
"Ford Motor"	0.0736872
Providian	0.0734424
Histadrut	0.0734013
CSA	0.0732709
Raytheon	0.0732678
Adelphia	0.073242
KONI	0.0728656
Mattel	0.0724149
"Turkish Airlines"	0.0723418
HCFA	0.0723368
AOC	0.0722082
Asa	0.071824
Dragonair	0.0717809
Terra	0.0716598
Broderbund	0.0714985
UBS	0.0714875
SLOC	0.0714686
Bestfoods	0.0714349
Iberia	0.0714309
Biogen	0.0712602
"Waste Management"	0.0710571
"Indian Airlines"	0.0709743
USTA	0.0709705
"Hongkong Telecom"	0.0707868
VENATOR	0.0702918
RIAA	0.0702441
FA	0.0700463
Akamai	0.0699296
Cendant	0.0697805
Ciena	0.0695636
KPA	0.0695261
CSE	0.0694516
Checkfree	0.0692376
BOC	0.0687718
Litton	0.0687253
Roche	0.0686791
CMGI	0.0684708
"KCP&AMP;L"	0.0684664
Dresdner	0.0684649
MACROMEDIA	0.0683614
Norwest	0.0681071
ICI	0.067944
SNCF	0.0679299
"Australian Olympic Committee"	0.0677495
Warner-Lambert	0.0675552
IAF	0.0674555
Deutsche	0.0672694
Priceline	0.0672686
AMC	0.0669504
MBNA	0.0667943
"Sara Lee"	0.0666938
Hoechst	0.0666619
Zapata	0.0666086
"Air India"	0.0664518
AutoNation	0.0663906
Nikko	0.0662097
NationsBank	0.0662083
CNPC	0.0661791
"Royal Bank"	0.0661357
McCaw	0.0659124
PEOPLESOFT	0.0656724
Monsanto	0.0655869
Emery	0.0655493
Airbus	0.0655479
FEMA	0.0653412
"Washington Mutual"	0.0653043
TELLABS	0.0652802
"Singapore Airlines"	0.0651879
UAM	0.0651349
"Japan Airlines"	0.0651319
Sabena	0.0649696
TYCO	0.0649613
SDL	0.0646515
"MCI WorldCom"	0.0645826
Nomura	0.064525
ACB	0.0645045
DEP	0.0645003
ITC	0.0643781
HP	0.0642329
UNAMET	0.0641675
Mannesmann	0.0641612
Kroger	0.0640733
Bridgestone	0.0638641
"British government"	0.0637708
))
("Cathay Pacific" (desc 7036.42) (sims
"Cathay Pacific Airways"	0.334745
Qantas	0.298706
Iberia	0.279556
Lufthansa	0.251043
KLM	0.242867
"Japan Airlines"	0.231607
"Singapore Airlines"	0.218082
Aeroflot	0.217594
"British Airways"	0.213858
"Air Canada"	0.206684
"El Al"	0.204381
"Air France"	0.201235
"Air China"	0.19805
JAT	0.194565
"Kenya Airways"	0.185419
Alitalia	0.177908
Swissair	0.176968
EgyptAir	0.166566
Sabena	0.164196
"Air Lanka"	0.160138
"Philippine Airlines"	0.154758
"Air India"	0.154733
"Korean Air"	0.152629
"United Airlines"	0.152477
"Virgin Atlantic"	0.151882
"American Airlines"	0.150092
"Southwest Airlines"	0.148224
Cathay	0.147459
"US Airways"	0.136529
Varig	0.134529
"Gulf Air"	0.133319
TWA	0.132684
Biman	0.125735
"Northwest Airlines"	0.124831
"Continental Airlines"	0.122572
Dragonair	0.122431
"Alaska Airlines"	0.122007
"Trans World Airlines"	0.121119
AIRTRAN	0.119335
"Indian Airlines"	0.119214
"Canadian Airlines"	0.117172
Comair	0.115594
delta	0.115215
"America West"	0.115213
Ansett	0.114929
"Delta Air Lines"	0.114371
"Turkish Airlines"	0.109971
"China Eastern Airlines"	0.107397
Garuda	0.106785
"Hongkong Telecom"	0.105981
"Air New Zealand"	0.105295
Aeromexico	0.103875
"Malaysia Airlines"	0.103324
"South African Airways"	0.103286
"American eagle"	0.102867
continental	0.10257
"Thai Airways"	0.102013
SAA	0.0988837
"Thai Airways International"	0.0987211
"Delta Airlines"	0.097247
airline	0.096687
SmithKline	0.0964394
"Airport Authority"	0.0956981
NiSource	0.0952031
"China Southern Airlines"	0.0936239
"China Airlines"	0.0928791
Fedex	0.0921385
Airlines	0.0904803
"Reno Air"	0.09041
"Hang Seng Bank"	0.089231
"Federal Express"	0.088748
USAir	0.0870837
"Ethiopian Airlines"	0.0858665
JAL	0.084613
JetBlue	0.0842911
Airbus	0.0842132
Checkfree	0.0839243
AMR	0.0823573
Cablevision	0.0817729
carrier	0.080674
TDC	0.0805998
Qwest	0.0798757
Ba	0.0794145
"Vietnam Airlines"	0.0781255
HSBC	0.0770531
"Phelps Dodge"	0.0769636
"HBO &AMP; Co."	0.0763396
GANNETT	0.0757385
"Pan Am"	0.0755202
CMGI	0.0754457
ExciteAtHome	0.0753611
Aetna	0.0751864
Boeing	0.0749375
emirate	0.0747418
Airtouch	0.0745388
MACROMEDIA	0.0740316
UAL	0.0739875
"GE Capital"	0.0738857
Bertelsmann	0.0738015
AIG	0.0737882
Norwest	0.0735181
A@@@-@@@	0.0729451
"BP Amoco"	0.0727571
ENTERGY	0.0726201
Honeywell	0.0724447
McKesson	0.0721291
DC-@@	0.0720855
Scientific-Atlanta	0.0719379
Enron	0.0718287
ARCO	0.0718184
"Levi Strauss &AMP; Co."	0.0714474
"Hong Kong Monetary Authority"	0.0709701
Lockheed	0.070325
"Global Crossing"	0.0702107
Instinet	0.0699227
BellSouth	0.0696726
Mig	0.0696708
MCI	0.0696668
Penney	0.0695712
WebMD	0.0695561
"Sara Lee"	0.0693139
"UAL Corp."	0.0692165
Verizon	0.0691293
"National Grid"	0.0691051
Emery	0.0688636
"British Telecom"	0.0686271
RealNetworks	0.0685413
WPP	0.0683895
BofA	0.0683492
Healtheon	0.068179
CCE	0.0680094
Warner-Lambert	0.0678907
CSX	0.0678127
LIFFE	0.0677448
Dupont	0.0676236
"bus company"	0.0675385
"blue angel"	0.067518
Concorde	0.0674522
"U.S. Air Force"	0.0673358
Albertson's	0.0672755
RJR	0.067271
WFP	0.0672608
Humana	0.0670165
TU-@@@	0.0670094
"Tribune Co."	0.0669335
WorldCom	0.0668335
"P&AMP;G"	0.0665981
SAS	0.0664811
"Hutchison Whampoa"	0.066374
"shipping company"	0.0663203
Amtrak	0.0663015
"Education Department"	0.0660031
turboprop	0.0659964
Litton	0.0659159
"MCI WorldCom"	0.0658389
"America West Airlines"	0.0657732
Cargill	0.0655001
Biogen	0.065485
"Gap Inc."	0.0654722
"Advanced Micro"	0.0654489
"U S West"	0.0654146
"NTT DoCoMo"	0.0652441
GTE	0.0651116
Telstra	0.0647983
DrKoop.com	0.0647889
PEOPLESOFT	0.0646905
Nortel	0.0646156
"Indian Air Force"	0.0645086
Asa	0.0641816
"Deutsche Bank"	0.0640632
"Waste Management"	0.064052
NORTHROP	0.063987
ALZA	0.0638829
MTA	0.0638631
TDB	0.063734
"Bell Atlantic"	0.063624
"Deutsche Telekom"	0.0635942
"News Corp."	0.0635909
"France Telecom"	0.0634862
Texaco	0.0633973
IAF	0.0633596
Lycos	0.0632151
"Con Ed"	0.0632047
Telefonica	0.0631904
"Lockheed Martin"	0.0631248
McCaw	0.063
"Turner Broadcasting"	0.0629106
ValuJet	0.0628225
"New York Times Co."	0.0627299
ENTREMED	0.0625314
Sunbeam	0.0620566
MindSpring	0.062055
Genentech	0.0619505
"U.S. Trust"	0.0619382
Halliburton	0.0617834
"American International Group"	0.0617695
Cadbury	0.0617361
"Nigerian National Petroleum Corporation"	0.0616833
widebody	0.0616323
"Knight Ridder"	0.0616251
))
("Cathay Pacific Airways" (desc 3282.71) (sims
"Cathay Pacific"	0.334745
"Air China"	0.17201
"Singapore Airlines"	0.169786
KLM	0.1673
"El Al"	0.163303
"Air Canada"	0.161568
"Kenya Airways"	0.154636
"Korean Air"	0.153737
JAT	0.153392
"Philippine Airlines"	0.151864
"Southwest Airlines"	0.148279
Aeroflot	0.147147
Qantas	0.143859
"Air France"	0.143608
"Alaska Airlines"	0.14327
"Northwest Airlines"	0.139134
Iberia	0.13821
EgyptAir	0.131886
Lufthansa	0.128078
"United Airlines"	0.128074
Swissair	0.127653
"British Airways"	0.127483
"Continental Airlines"	0.127309
Cathay	0.121591
"American Airlines"	0.120956
"Delta Air Lines"	0.119991
"Thai Airways International"	0.119953
"US Airways"	0.118333
"Reno Air"	0.118317
"Japan Airlines"	0.118037
"China Airlines"	0.117171
"Trans World Airlines"	0.117067
"Ethiopian Airlines"	0.115045
Biman	0.113247
"Canadian Airlines"	0.11198
"Indian Airlines"	0.111093
Dragonair	0.103494
"Air Lanka"	0.103418
"blue angel"	0.1033
USAir	0.0990386
"America West"	0.0984761
AIRTRAN	0.0971062
"Vietnam Airlines"	0.0969925
"KLM Royal Dutch Airlines"	0.0962302
Alitalia	0.0955609
"Air India"	0.0941352
"Indian Air Force"	0.0891803
"American eagle"	0.0868298
"Hang Seng Bank"	0.0868279
"Thai Airways"	0.0864338
"Airport Authority"	0.0856922
delta	0.0855123
"South African Airways"	0.0848429
"Royal Air Force"	0.0839701
"Delta Airlines"	0.0836291
"Information Center"	0.0830462
Ansett	0.0824858
Garuda	0.0822608
Comair	0.0821239
Harrier	0.0798191
"China Eastern Airlines"	0.07935
"Wen Wei Po"	0.079021
"Federal Express"	0.0780985
TWA	0.0780345
Aeromexico	0.0779137
"Turkish Airlines"	0.0776893
Mig	0.0763466
"Virgin Atlantic"	0.0746463
Varig	0.0720247
"Hutchison Whampoa"	0.0712862
"Malaysia Airlines"	0.0712226
Omnipoint	0.0706841
Sabena	0.0705069
NiSource	0.0699767
"China Southern Airlines"	0.0689717
"WorldCom Inc."	0.0673206
continental	0.0672596
Airlines	0.0668194
Cessna	0.065763
"Airbus A@@@"	0.0651097
"U.S. Air Force"	0.0648992
"America West Airlines"	0.0648154
"Vodafone Airtouch PLC"	0.0645057
"MindSpring Enterprises"	0.0629705
Fedex	0.0628849
RAF	0.0626743
"South China Morning Post"	0.0621967
"Pan Am"	0.0619565
AMR	0.061911
NDF	0.0608243
"Yamaichi Securities Co."	0.0598063
HSBC	0.0596038
"Airbus @@@"	0.0590085
widebody	0.0581437
"battle group"	0.0577873
Totalfina	0.0575192
"Bank of Scotland"	0.0575081
"Hongkong Telecom"	0.0573773
Alcan	0.057146
Marcoses	0.0570061
"Airbus Industrie"	0.0562108
"Civil Aviation Authority"	0.0562086
"MCI Communications Corp."	0.0561745
"electronic warfare"	0.0561664
"Allied Pilots Association"	0.0559666
IAF	0.055934
"Sprint Corp."	0.0558952
UAL	0.0558253
"National Democratic Front"	0.0558026
CSC	0.0557642
"Gap Inc."	0.0557358
"Information Center of Human Rights"	0.0553196
Cablevision	0.0552282
SU-@@	0.0552229
"Anson Chan"	0.0551719
turboprop	0.0550145
"London Club"	0.054753
skydiver	0.0546623
"Hong Kong Monetary Authority"	0.0545913
P-@	0.0544285
"Chief Executive Tung Chee-hwa"	0.0542984
"HBO &AMP; Co."	0.0540354
"Hong Kong Tourist Association"	0.0540136
"MCI Worldcom Inc."	0.0537095
"British Telecom"	0.053001
"Global Crossing"	0.0529185
"Gulf Air"	0.0527533
"Mark Cuban"	0.0527131
"Carl Icahn"	0.0526217
Palestinians	0.0524218
Stoneman	0.0522537
Embraer	0.052229
A-@	0.0521162
T-@@	0.0519853
"Walt Disney Co."	0.0519171
"United Auto Workers"	0.0518159
"McDonnell Douglas"	0.0517386
"Niagara Mohawk"	0.0515478
DC-@@	0.0513922
TU-@@@	0.0512988
"Lycos Inc."	0.0512934
Tam	0.0512029
A-@@	0.0502871
"Times Co."	0.0502686
"power company"	0.0502021
"Coca-Cola Enterprises"	0.0501364
Il-@@	0.0501037
Qwest	0.0496144
AmCham	0.0495575
"NEC Corp."	0.0494356
"Air Transport Association"	0.0494326
DC-@	0.0492205
A@@@-@@@	0.0492067
C-@@@	0.0491183
"SBC Communications Inc."	0.0489136
"Securities Industry Association"	0.0487372
Venables	0.0484463
Bertelsmann	0.0483542
MiG-@@	0.0483098
"Moro Islamic Liberation Front"	0.0482466
"Quick &AMP; Reilly"	0.048138
Boueiz	0.0481182
SkyTel	0.0480823
"Standard Chartered Bank"	0.0480196
"Paris Club"	0.0479576
"International Badminton Federation"	0.0479444
Verizon	0.0478768
CSX	0.0477177
"American Home Products Corp."	0.0475853
SmithKline	0.047389
"Deutsche Telekom"	0.0469799
baring	0.0468469
"Oracle Corp."	0.0463578
liquidator	0.0463067
Asa	0.0461191
"Sprint PCS"	0.0461136
"General Motors Corp."	0.0460592
"Morgan Stanley Dean Witter &AMP; Co."	0.0460164
"Northrop Grumman"	0.0459505
Paxson	0.0458519
Eurotunnel	0.0457633
"U.S. Defense Department"	0.0457086
F-@	0.0456097
"Eastern Airlines"	0.0455352
"Bankers Trust Corp."	0.0454741
Komura	0.045349
"Stage @"	0.0453224
thunderbolt	0.0452557
airforce	0.0450016
"Motorola Inc."	0.0449998
Exxon	0.0449888
"Valery Pustovoitenko"	0.0449536
"Bell Atlantic Corp."	0.0449027
transporter	0.0448074
ATC	0.0447495
PCC	0.0446781
McDonnell	0.0446431
Springbok	0.0446004
Hevesi	0.0445689
Garang	0.044541
))
(Cathedral (desc 40615.7) (sims
Basilica	0.194145
church	0.177537
chapel	0.150574
mosque	0.135832
Monastery	0.126284
synagogue	0.120279
cemetery	0.109627
temple	0.108577
palace	0.10718
"St. Patrick"	0.103997
shrine	0.101921
building	0.100501
auditorium	0.0962294
mansion	0.0959536
square	0.095245
"opera house"	0.0950896
"Episcopal Church"	0.0946688
sanctuary	0.0939232
"city hall"	0.0935576
hall	0.0922895
courthouse	0.0919919
stadium	0.0913187
mausoleum	0.0911279
monument	0.0909871
"Riverside Church"	0.0904052
"Westminster Abbey"	0.0897125
Capitol	0.0896714
Castle	0.0887099
tomb	0.088034
Tower	0.0864989
hotel	0.086389
plaza	0.0855997
museum	0.0854789
residence	0.0839578
edifice	0.083281
"St. Peter"	0.081618
"town hall"	0.0809658
gymnasium	0.0809324
Dome	0.0781427
amphitheater	0.0777385
park	0.0771611
house	0.076828
"concert hall"	0.0765468
theater	0.0763365
ballroom	0.0750541
parish	0.0750102
Convent	0.0750014
altar	0.0744081
library	0.0740595
"apartment building"	0.0740495
abbey	0.0734473
Fort	0.0730726
"Arlington National Cemetery"	0.0705447
restaurant	0.0699733
"office building"	0.0692228
Chateau	0.0685655
complex	0.0685205
"train station"	0.0683212
hospital	0.068168
skyscraper	0.0677443
fortress	0.0673526
cafe	0.0668632
campus	0.0668301
apartment	0.0666045
"civic center"	0.0665719
Villa	0.0658797
arena	0.0656899
pagoda	0.0656074
"police station"	0.0649853
statue	0.0645977
Reichstag	0.0642904
Colosseum	0.0642687
memorial	0.0640968
airport	0.0640206
"Great Hall"	0.0638336
ruin	0.0638131
pyramid	0.063444
"house of worship"	0.063296
"post office"	0.0631884
seminary	0.0630946
"department store"	0.0630288
"Tiananmen Square"	0.0624066
"Christian church"	0.062045
headquarter	0.0620257
"Catholic Church"	0.0620186
pavilion	0.0615715
gallery	0.0615611
boulevard	0.0613539
shop	0.0612158
compound	0.0602903
congregation	0.0602169
"Union Station"	0.0602142
"Central Park"	0.0600536
landmark	0.0600116
spire	0.0599634
terminal	0.059178
"Times Square"	0.0590111
facade	0.058996
"art gallery"	0.0589093
embassy	0.0584003
"community center"	0.0583965
Ballpark	0.0583434
Crypt	0.0583169
barrack	0.0582105
"Lincoln Memorial"	0.0579445
mall	0.0577858
street	0.0577844
downtown	0.057746
garden	0.057406
"city center"	0.0571594
rotunda	0.0570353
"police headquarters"	0.0568925
cloister	0.0565723
"football stadium"	0.0564814
"shopping center"	0.0560464
courtroom	0.0560262
gym	0.0559782
"shopping mall"	0.0558468
courtyard	0.0555713
"Carnegie Hall"	0.0553763
"elementary school"	0.0552111
graveyard	0.0550406
"bell tower"	0.0550161
schoolhouse	0.0548667
"apartment house"	0.0547934
Warehouse	0.0545895
pub	0.0545604
factory	0.0545238
chamber	0.0544579
statehouse	0.0543362
cottage	0.0542522
"Western Wall"	0.0542303
"Tehran University"	0.0541641
"subway station"	0.054025
barn	0.0538952
fountain	0.0538909
"Olympic Stadium"	0.0535682
hangar	0.0535328
"Forbidden City"	0.0535066
tavern	0.0535044
orphanage	0.0534027
"World Trade Center"	0.0533806
"exhibition hall"	0.0533412
estate	0.053259
village	0.0531863
grotto	0.0531124
clinic	0.053019
skyline	0.0529764
bridge	0.0528143
venue	0.05265
"parking lot"	0.0523083
cabin	0.0520791
bookstore	0.0520212
"Staples Center"	0.0519325
neighborhood	0.051768
inn	0.0516831
room	0.0516705
Lighthouse	0.0515368
farmhouse	0.0514081
garage	0.0511855
lobby	0.0510548
studio	0.0509832
"railway station"	0.0508687
"dining room"	0.0505961
structure	0.0504693
"high school"	0.0502332
"Yankee Stadium"	0.0499653
hut	0.0498522
gate	0.0495997
cafeteria	0.0495698
Obelisk	0.0494923
"railroad station"	0.0492594
intersection	0.0491417
"place of worship"	0.0490826
"funeral home"	0.0488499
dock	0.0488006
resort	0.048792
"St. Paul"	0.0487042
tent	0.0486869
planetarium	0.0484929
Grave	0.0484603
minaret	0.0483138
clubhouse	0.047918
arch	0.0479032
jail	0.0478892
pier	0.0477715
brownstone	0.0475951
prison	0.0475555
harbor	0.0474287
"U.S. Embassy"	0.0472341
depot	0.0471068
"Madison Square Garden"	0.0469166
Casino	0.0468813
dormitory	0.0468335
"Rockefeller Center"	0.0467625
thoroughfare	0.0467405
university	0.0467039
cave	0.0466659
"medical center"	0.0466567
"sports arena"	0.0465851
))
(Catherine (desc 6550.44) (sims
Eileen	0.140602
Marguerite	0.115519
Patricia	0.109901
Evelyn	0.108142
Susan	0.105455
Irina	0.103581
Brenda	0.102053
Beatrice	0.10139
Theresa	0.0993133
Melanie	0.0991231
ANN	0.0988062
Margaret	0.098607
Stephanie	0.0984842
Jacqueline	0.0970231
Camille	0.096657
Kristin	0.0963164
Anne	0.0948121
Rachel	0.0925181
Diane	0.0922616
Caroline	0.0912286
Sophie	0.090972
Marie	0.0909504
Maria	0.0908335
Lori	0.0902852
Debbie	0.0902655
Wendy	0.090232
Sarah	0.0891361
Michelle	0.0890349
Emily	0.0890048
Beth	0.0889453
Ashley	0.0887125
Peggy	0.0886848
Denise	0.0882071
Olivia	0.0873498
Martha	0.0867137
Josephine	0.0864202
Polly	0.0863937
Dorothy	0.086144
Maureen	0.0860486
Edith	0.0858329
Christine	0.0849937
Liz	0.0848982
Nancy	0.0847844
Elaine	0.0847711
Esther	0.0847442
Naomi	0.0847011
"Azizah Ismail"	0.0841388
hazel	0.0841356
Sonia	0.0839977
Lynne	0.0838118
Beverly	0.0836054
Carol	0.0835048
Miriam	0.0834599
Helen	0.0828405
Rhonda	0.0825493
Valerie	0.0825153
Barbara	0.0822649
Karenna	0.0821772
Doris	0.0821613
Suzanne	0.0817358
Mary	0.0815356
Tracey	0.0814184
Karen	0.0813524
"Karenna Gore Schiff"	0.0812947
heather	0.0811329
Jennifer	0.0811224
Olga	0.0810963
Sara	0.0809947
Angela	0.0805882
Jenna	0.0805053
Julie	0.0804785
Samantha	0.0803881
Connie	0.080279
Rebecca	0.0799335
Meg	0.079901
Lauren	0.0794286
Betty	0.0792337
Linda	0.0782942
Marian	0.0781953
Brooke	0.0781089
Kate	0.0781042
Elena	0.0779662
Jeanne	0.0778663
Donna	0.0777447
Katie	0.0776385
Christina	0.0776127
Elizabeth	0.0775449
Cathy	0.07753
alicia	0.0774818
Alexandra	0.0773827
Laurie	0.0772861
Marlene	0.0772246
Pauline	0.077138
Marcia	0.0769711
Lucy	0.0767485
Audrey	0.0767034
Janet	0.0762551
Andrea	0.0761987
Sylvia	0.0760994
anna	0.0760819
Cheryl	0.0760182
Teresa	0.0757052
Jessica	0.0755623
Cindy	0.075413
Kathleen	0.0751936
JoAnne	0.0749722
Bianca	0.0749182
Amy	0.0749093
Carolyn	0.0747087
Clara	0.0747025
Laura	0.0740588
Judy	0.0740266
Vicki	0.07402
Katherine	0.0739208
Kimberly	0.0739082
Vivian	0.073784
Lucia	0.0736174
Dana	0.0734769
Paula	0.0728056
Michele	0.0727025
Sally	0.0726533
Kathy	0.0723019
Annie	0.072272
Nicole	0.0722627
Louise	0.072097
Natalie	0.0720657
Toni	0.0719314
Johanna	0.0717958
Gertrude	0.0717596
Kathryn	0.0714488
Jane	0.0713914
Jenny	0.0712882
Pam	0.0711319
"Graca Machel"	0.0708912
Paulina	0.0708564
Lucille	0.0707585
Stella	0.0706277
Patti	0.0703781
Shannon	0.0703217
Nora	0.0702512
Carrie	0.0700517
"Caroline Kennedy Schlossberg"	0.069637
Robin	0.0696271
Monique	0.0694298
Eleanor	0.0690946
Leah	0.0690834
ISABEL	0.0690055
Nikki	0.0688464
Jill	0.0688363
Lydia	0.067832
Phyllis	0.0677875
Juanita	0.0676862
Vanessa	0.0676059
Nina	0.0675633
Lisa	0.0673176
Debra	0.0670751
Julia	0.0668117
Ellen	0.0667972
Dolores	0.0665788
Jessie	0.0664156
Dora	0.0661823
Marilyn	0.0658203
Tina	0.0657622
Alice	0.0652792
Betsy	0.065098
Frances	0.0647408
Claudia	0.0644163
Claire	0.0643
Kay	0.0639745
Jackie	0.0636589
Erin	0.0636406
"Carmen Electra"	0.0634052
"Lauren Bessette"	0.0633446
gloria	0.0628204
Courtney	0.0627238
Steven	0.0626147
Deborah	0.0620641
Sandra	0.0619741
Lynn	0.0617372
Mona	0.0614002
Megan	0.0613873
colleen	0.0613721
Millie	0.060845
Lois	0.060801
Pamela	0.0605854
"Barbara Bush"	0.0605073
Thelma	0.0604022
Marianne	0.0603166
Natasha	0.0596072
Abbie	0.0594535
Ethel	0.0594003
Wanda	0.0592692
Winnie	0.0589452
Molly	0.0587203
Hadassah	0.0584994
Terri	0.0581206
becky	0.0581074
Meredith	0.0579005
Christie	0.0576001
Hilary	0.0574573
))
("Catherine Deneuve" (desc 1737.71) (sims
"Vanessa Redgrave"	0.150271
"Glenn Close"	0.137828
"Melanie Griffith"	0.123308
"Natasha Richardson"	0.121112
"Brooke Shields"	0.120771
"Janet McTeer"	0.118598
"Jane Fonda"	0.117548
"JOHN TURTURRO"	0.113031
"Ashley Judd"	0.112674
"Uma Thurman"	0.110391
"Susan Sarandon"	0.109313
"Jeremy Irons"	0.109146
"Gwyneth Paltrow"	0.106179
"Geena Davis"	0.105434
"Kathy Bates"	0.102953
"Jack Lemmon"	0.102336
"Penelope Cruz"	0.100475
"Claire Danes"	0.100095
"Carmen Electra"	0.0994648
Deneuve	0.0992921
"Kirsten Dunst"	0.0989539
"Angela Bassett"	0.0975683
"Lauren Bacall"	0.0970316
"Cate Blanchett"	0.096893
"Frances McDormand"	0.0959485
"Camryn Manheim"	0.0927436
"Elizabeth Taylor"	0.0917819
"Meryl Streep"	0.0911602
"Vanessa Williams"	0.0905385
"Sidney Poitier"	0.0902038
"Brigitte Bardot"	0.0900918
"Juliette Lewis"	0.0898084
"James Earl Jones"	0.0879588
"Jon Voight"	0.087915
"Annette Bening"	0.0871566
"Hilary Swank"	0.0870072
"Jennifer Love Hewitt"	0.086968
"Jason Alexander"	0.0866346
"Cameron Diaz"	0.0865788
"Kim Basinger"	0.0849948
"Catherine Zeta-Jones"	0.0849733
"Richard Dreyfuss"	0.0848984
"Winona Ryder"	0.0846684
"Kathleen Turner"	0.0841198
"Anne Heche"	0.083849
"Kirk Douglas"	0.0830023
"Jennifer Lopez"	0.0826449
Cleese	0.0824704
"Whoopi Goldberg"	0.0818843
"Halle Berry"	0.0818195
"Faye Dunaway"	0.0817493
"Sandra Bullock"	0.080875
"Kevin Kline"	0.0806301
"Audrey Hepburn"	0.0805515
"Chloe Sevigny"	0.0805112
"Christian Bale"	0.0805108
"Emily Watson"	0.0804719
"Edward Norton"	0.0804061
"Tobey Maguire"	0.0801064
"Michelle Pfeiffer"	0.0796395
"Jodie Foster"	0.0796193
"Humphrey Bogart"	0.0795591
"Chow Yun-Fat"	0.0792713
"Jennifer Aniston"	0.078978
"Diane Keaton"	0.0788676
"Heather Graham"	0.0784001
"Gregory Peck"	0.0775927
"Sharon Stone"	0.077488
"Jessica Lange"	0.0770381
"Dan Aykroyd"	0.07702
"Joseph Fiennes"	0.0768432
"Kate Winslet"	0.0763658
"Calista Flockhart"	0.075827
"Brenda Blethyn"	0.0749205
"Sean Connery"	0.0740993
"Geoffrey Rush"	0.0736656
"Cuba Gooding Jr."	0.0729922
"Julia Roberts"	0.0729141
"Harvey Keitel"	0.0727478
"Harrison Ford"	0.0727104
"Liv Tyler"	0.0723807
"Ally Sheedy"	0.0718916
"Michael Douglas"	0.0717666
"Marlene Dietrich"	0.0717605
"Dustin Hoffman"	0.0713402
"Mia Farrow"	0.0712663
"Sela Ward"	0.070722
"Reese Witherspoon"	0.0706556
"Elizabeth Hurley"	0.0703189
"Jack Nicholson"	0.0702217
"Carol Burnett"	0.0700067
"Orson Welles"	0.0689224
"Henry Fonda"	0.0681446
"Bill Murray"	0.0676462
"Meg Ryan"	0.0673242
"Samuel L. Jackson"	0.0672471
"Marlon Brando"	0.0672278
"Ian Holm"	0.0671517
"Drew Barrymore"	0.0668253
"Holly Hunter"	0.0666618
"Chris Klein"	0.0665794
"Sarah Jessica Parker"	0.0664343
"Barbra Streisand"	0.0660341
"Wesley Snipes"	0.0658779
"Robert DeNiro"	0.0656671
"Joan Allen"	0.0656271
"AL PACINO"	0.0654291
"Goldie Hawn"	0.0653097
"Judi Dench"	0.0651884
"Clint Eastwood"	0.0651548
"James Van Der Beek"	0.0650899
"Leelee Sobieski"	0.0649662
"Robert Carlyle"	0.064568
"Richard Gere"	0.063634
"Albert Brooks"	0.0636313
"Kevin Bacon"	0.0635712
"Paul Newman"	0.0634614
"Val Kilmer"	0.0634037
"Minnie Driver"	0.0630686
"Danny DeVito"	0.0629328
"Richard Burton"	0.0628744
"Billy Crystal"	0.062822
"Martin Lawrence"	0.0624974
"Katharine Hepburn"	0.0623244
"Julianne Moore"	0.0621703
"Norm MacDonald"	0.0619479
"Russell Crowe"	0.0617756
"Marilyn Monroe"	0.061731
"Jeff Bridges"	0.0616906
"Audra McDonald"	0.06119
"Matthew Broderick"	0.0609652
"Cybill Shepherd"	0.060907
"Andre Braugher"	0.0605795
"Shirley MacLaine"	0.0604042
"David Spade"	0.0602677
"Matthew McConaughey"	0.0599426
"Jamie Foxx"	0.0596561
"Chevy Chase"	0.0596534
"Helen Hunt"	0.059577
"Brian Dennehy"	0.0595714
"Ethan Hawke"	0.059563
"Taye Diggs"	0.0594392
"Martin Sheen"	0.0593753
"Stephen Rea"	0.059298
"True Thing"	0.0591781
"John Cusack"	0.0590693
"Tom Selleck"	0.0589878
"Liza Minnelli"	0.0589691
"Christopher Reeve"	0.0589416
"Gene Hackman"	0.0589148
"Natalie Portman"	0.0589053
"Kenneth Branagh"	0.0588552
Costner	0.0586273
"William Hurt"	0.0581503
"Alicia Silverstone"	0.057708
"Edward Furlong"	0.0575724
"James Woods"	0.0573136
"Nick Nolte"	0.0571938
"Bill Pullman"	0.0571825
"Sally Field"	0.0570759
"Bernadette Peters"	0.0570055
"Tracey Ullman"	0.0567423
"Dame Judi Dench"	0.0566806
"James Stewart"	0.0565513
"Joan Crawford"	0.0565317
"Arnold Schwarzenegger"	0.0565075
"Burt Lancaster"	0.0564645
"Johnny Depp"	0.056084
"Steve McQueen"	0.0557618
GERE	0.0557399
"Garry Shandling"	0.0556174
"Vince Vaughn"	0.0554082
"Alfre Woodard"	0.055262
"Bebe Neuwirth"	0.0550903
"Bob Hope"	0.0549291
"Renee Fleming"	0.0548074
"Queen Latifah"	0.0546677
Stiller	0.054662
"Vivien Leigh"	0.0543267
"Pierce Brosnan"	0.0539457
"Nicole Kidman"	0.0538349
Marguerite	0.0538342
"Diana Ross"	0.0538161
"Demi Moore"	0.0534617
"Angelina Jolie"	0.0534164
"Robert Duvall"	0.053395
"Claudia Schiffer"	0.0531343
"Julie Andrews"	0.053063
Broderick	0.0530559
"Sigourney Weaver"	0.0528934
"Rob Lowe"	0.0528684
"Famke Janssen"	0.0527724
Rockettes	0.0525041
"Billy Crudup"	0.0524247
"Keanu Reeves"	0.0524079
"Dan Hedaya"	0.0522394
"Spencer Tracy"	0.0521325
"George Clooney"	0.0518114
"Ian McKellen"	0.0517246
"Mandy Patinkin"	0.0517095
))
("Catherine Keener" (desc 1527.16) (sims
"Matt Dillon"	0.125732
"Holly Hunter"	0.115296
"Chloe Sevigny"	0.106627
"Cameron Diaz"	0.104719
"Jamie Foxx"	0.102094
"Toni Collette"	0.0990047
"Andie MacDowell"	0.0950519
"Azizah Ismail"	0.0934255
"Hilary Swank"	0.0784695
"Brooke Shields"	0.0773721
"Drew Barrymore"	0.0767055
"Christina Ricci"	0.0762853
"Gwyneth Paltrow"	0.0746534
Rhonda	0.0739416
"Dennis Quaid"	0.0732786
"Calista Flockhart"	0.0721667
"Angelina Jolie"	0.0688833
"Ben Stiller"	0.0683328
"Christian Slater"	0.0683155
"Janeane Garofalo"	0.0679699
"Cate Blanchett"	0.0663489
"John Malkovich"	0.0649822
"Vanessa Williams"	0.0636601
"Billy Bob Thornton"	0.0602436
"Julianne Moore"	0.0575618
"Glenn Close"	0.0569043
alicia	0.0567014
Cynthia	0.0561554
"Kim Basinger"	0.0552824
"Sam Mendes"	0.0550905
"Winnie Madikizela-Mandela"	0.0548857
Doris	0.0542679
Marge	0.0541133
Pam	0.0540524
"Aidan Quinn"	0.0539954
"Rene Russo"	0.0490918
"John Cusack"	0.0485032
Leah	0.0481957
"Cindy McCain"	0.0481856
"Annette Bening"	0.0479348
"Joan Allen"	0.0477435
"Sandra Bullock"	0.0460997
"Ellen DeGeneres"	0.045947
"Vanessa Redgrave"	0.0458899
Patricia	0.0454413
Denise	0.0453109
"Edie Falco"	0.0452632
Theron	0.0450538
Franz	0.0444933
Olivia	0.0444791
Janice	0.0441124
"Giovanni Ribisi"	0.0438499
"Jeremy Northam"	0.0436143
Lynne	0.0435466
Melanie	0.0435348
Eileen	0.0434261
"Catherine Deneuve"	0.0425637
Phyllis	0.0423707
Patti	0.0422658
Gail	0.0418241
Miriam	0.0417009
Sheila	0.0416708
"Courtney Love"	0.0415549
Renee	0.0414177
Polly	0.041204
Michele	0.0410142
"Gillian Anderson"	0.0410043
RuPaul	0.0408581
Duane	0.0407474
Thelma	0.0407325
Billie	0.0406762
))
("Catherine Zeta-Jones" (desc 3297.49) (sims
Zeta-Jones	0.206922
"Robert DeNiro"	0.114461
"Ewan McGregor"	0.11423
"Vanessa Redgrave"	0.108887
"Natalie Portman"	0.101582
"Natasha Richardson"	0.100985
"Lili Taylor"	0.0916184
"Oliver Platt"	0.0884977
"Catherine Deneuve"	0.0849733
"Liam Neeson"	0.0847371
"Jessica Lange"	0.0838064
"Frances McDormand"	0.0825471
"Jodie Foster"	0.080199
"Albert Brooks"	0.0754547
"Gwyneth Paltrow"	0.0731007
"Uma Thurman"	0.0724386
"Jackie Chan"	0.0721112
"Samuel L. Jackson"	0.0719764
"Julia Roberts"	0.0719241
"Kathleen Turner"	0.0695639
"Matthew Broderick"	0.0690906
"Tobey Maguire"	0.0683552
"Antonio Banderas"	0.068093
"Kim Basinger"	0.0673476
"Danny DeVito"	0.0665817
"Cuba Gooding Jr."	0.0662307
"Michael Douglas"	0.064736
"Ted Danson"	0.0643566
"Morgan Freeman"	0.0633643
"Christian Bale"	0.0633438
"Elizabeth Hurley"	0.0624782
"Lana Turner"	0.0617471
"Brendan Fraser"	0.0597287
"Michelle Pfeiffer"	0.0595954
"James Van Der Beek"	0.0594298
"Gabriel Byrne"	0.0581369
"Jeff Bridges"	0.0578151
"Tom Hanks"	0.0574209
"Dan Aykroyd"	0.0569594
"Claudia Schiffer"	0.0566002
"Ian Holm"	0.0555019
"Sandra Bullock"	0.0549678
"Ron Howard"	0.0541829
"Jon Voight"	0.0541815
"John Goodman"	0.053623
"Tom Cruise"	0.0532808
"Harrison Ford"	0.052427
"Heather Graham"	0.052407
"Stephen Rea"	0.0521959
"Brad Pitt"	0.0519929
"Sarah Michelle Gellar"	0.0518153
"Glenn Close"	0.0515863
"Bebe Neuwirth"	0.0514875
"Carmen Electra"	0.0513247
"Jon Stewart"	0.0506827
"Gillian Anderson"	0.0504759
"Richard Burton"	0.0502243
"Jack Nicholson"	0.050216
"Obi-Wan Kenobi"	0.0500108
"Christopher Plummer"	0.0496748
"Audrey Hepburn"	0.0494467
"Nicole Kidman"	0.0490494
"JOHN TURTURRO"	0.0489987
"Paul Newman"	0.0489017
"Julianne Moore"	0.0484972
"Famke Janssen"	0.0474147
"Robert de Niro"	0.0472597
"Lauren Bacall"	0.0472483
"Taye Diggs"	0.0469202
"Mike Myers"	0.0464217
DeGeneres	0.0461516
"Martin Lawrence"	0.0458238
"Denzel Washington"	0.0456354
"Mel Gibson"	0.045585
"Patricia Arquette"	0.0455394
"Kate Winslet"	0.0453308
"Hilary Swank"	0.045166
"Cate Blanchett"	0.0451591
"Shirley MacLaine"	0.0448464
"Norm MacDonald"	0.0447131
Robby	0.044449
"Aidan Quinn"	0.0443528
"Nicolas Cage"	0.0440948
"Greg Kinnear"	0.0440923
"Jack Lemmon"	0.0440502
"Annette Bening"	0.0439982
"Emily Watson"	0.0439267
"Renee Zellweger"	0.0438825
"Whoopi Goldberg"	0.0434568
"Sigourney Weaver"	0.0430404
"Bette Midler"	0.0428049
"Alec Baldwin"	0.0425811
"Anne Heche"	0.0423946
"Kevin Spacey"	0.0423546
"Tim Robbins"	0.0422645
"Janet McTeer"	0.0420556
"Billy Crystal"	0.0414151
"Chris Klein"	0.041401
"Laurence Olivier"	0.0412567
"Ellen Burstyn"	0.041243
"Michael Caine"	0.0409877
"Inspector Gadget"	0.0407669
"Will Smith"	0.0406386
Broderick	0.0404694
"Joan Cusack"	0.0404371
"Jennifer Lopez"	0.0403335
"Liza Minnelli"	0.0403145
"Robert Redford"	0.0402857
"Minnie Driver"	0.0402747
"Warren Beatty"	0.0401473
"Pierce Brosnan"	0.0401233
"Susan Sarandon"	0.0400148
))
(catheter (desc 7516.82) (sims
electrode	0.132485
tube	0.127065
needle	0.126747
pacemaker	0.123443
angioplasty	0.100646
defibrillator	0.0935058
incision	0.089958
thermometer	0.082779
tubing	0.0810612
endoscope	0.0799043
stents	0.0793611
stent	0.0783065
vial	0.0763655
"hypodermic needle"	0.0748158
stethoscope	0.0741041
rod	0.0719505
screw	0.0709054
Drip	0.0693023
skewer	0.0680538
transistor	0.0672411
defibrillators	0.0671032
toothpick	0.0668008
condom	0.063897
laser	0.063805
hose	0.0635272
clot	0.0632095
artery	0.0619951
implant	0.0619425
capsule	0.0592422
earpiece	0.0590345
"surgical instrument"	0.0588803
pipe	0.0583042
bandage	0.0578337
fluid	0.0569957
penicillin	0.0565688
transmitter	0.0561774
sedative	0.0549455
IV	0.0541099
injection	0.0539255
vein	0.0538311
syringe	0.0537471
"blood vessel"	0.0536211
"optical fiber"	0.0533409
balloon	0.0531725
knife	0.0521426
valve	0.0518043
"bowling ball"	0.0517232
pellet	0.0512253
"radio frequency"	0.0507945
blockage	0.0507072
"mechanical device"	0.0504624
sensor	0.0504272
scalpel	0.0503964
wristband	0.0502946
hyphen	0.0500646
"gas line"	0.0498788
ventilator	0.0497863
antifreeze	0.049712
microchip	0.0496272
"radio transmitter"	0.0496268
aneurysm	0.0496071
"malignant tumor"	0.0494734
ultrasound	0.0493604
pulley	0.0493213
"paring knife"	0.0491729
transfusion	0.048738
"hearing aid"	0.0484867
"razor blade"	0.0483163
scanner	0.0482218
respirator	0.0481039
arrhythmia	0.0475524
"electrical device"	0.0471871
clamp	0.0470513
injector	0.0470182
bead	0.0469536
potty	0.0468463
"vacuum cleaner"	0.046343
plunger	0.0462721
pencil	0.045973
"steel plate"	0.0455221
duct	0.0451684
"electronic device"	0.045087
"programming language"	0.0450247
cellophane	0.0449307
suture	0.0449187
"silicon chip"	0.0448664
"grocery bag"	0.044849
nitroglycerin	0.04452
"electric current"	0.0443411
gauze	0.0437759
tester	0.0434222
antibiotic	0.0428794
"satellite receiver"	0.0425208
tumor	0.0424009
nozzle	0.0422299
wader	0.0419147
Ethernet	0.0418023
"computer program"	0.0417441
"artificial heart"	0.0417372
coil	0.0416811
optic	0.04168
chisel	0.0416224
fastener	0.0414879
"sewing machine"	0.0412514
"extension cord"	0.0410468
imaging	0.0409996
airship	0.0409237
Sim	0.0407238
glucose	0.0406284
identifier	0.0405977
abscess	0.0403922
"poison pill"	0.0403708
diaphragm	0.0402892
Tyre	0.0402037
adhesive	0.0401862
))
(Catholic (desc 66853) (sims
"Roman Catholic"	0.327482
christian	0.208176
Protestant	0.18643
Muslim	0.171219
Presbyterian	0.151515
Jew	0.149946
Mormon	0.134466
Hispanic	0.132555
Anglican	0.132546
Baptist	0.130121
conservative	0.125389
Methodist	0.124893
Lutheran	0.124157
Orthodox	0.123326
Buddhist	0.123016
Baptists	0.122347
minority	0.120983
Hindu	0.120014
Arab	0.118257
Episcopalian	0.117568
Jewish	0.116118
voter	0.116071
black	0.115612
Republican	0.115485
Gay	0.112037
unionist	0.111332
Latino	0.109726
nationalist	0.106743
"Southern Baptist"	0.106072
Serbs	0.105724
Shiite	0.105291
Albanian	0.104638
"Puerto Rican"	0.104441
Democrat	0.104002
immigrant	0.103799
African-American	0.103381
follower	0.1018
"union member"	0.101723
people	0.101326
activist	0.100911
clergy	0.0999996
politician	0.0997966
citizen	0.099418
resident	0.0986111
Sikh	0.0980901
church	0.0975882
supporter	0.0967085
member	0.0963627
Mexican	0.0949761
American	0.094923
liberal	0.0939524
woman	0.0938014
Israeli	0.0934482
Chinese	0.0933696
student	0.0932276
Palestinian	0.0929328
settler	0.0929243
lawmaker	0.0928842
Irish	0.0923013
priest	0.0919897
evangelicals	0.0914664
Moslem	0.0911997
independent	0.0907018
legislator	0.0904504
Gypsy	0.0898078
"labor union"	0.0889879
bishop	0.08869
believer	0.0886552
homosexual	0.0880433
"Orthodox Jews"	0.0877442
Asian-American	0.0875318
Kurds	0.0874077
environmentalist	0.0870247
moderate	0.0867242
Cuban-Americans	0.0867151
community	0.0856156
white	0.0855588
intellectual	0.0854367
"African American"	0.0846923
farmer	0.0838162
parent	0.0834014
Hutu	0.0830223
Sunni	0.082758
"political leader"	0.0823095
feminist	0.0818185
group	0.0814062
loyalist	0.0811239
pro-British	0.0810933
Southerner	0.0808266
Iranian	0.0807544
leader	0.0807215
Turk	0.0802536
worker	0.0796501
fan	0.0795083
faction	0.0790064
Russian	0.0785203
Filipino	0.0784775
"senior citizen"	0.0782745
Croat	0.0781066
"church member"	0.0779904
hard-liner	0.0779036
Communist	0.0777193
family	0.0774714
protester	0.0774371
"religious leader"	0.0771449
parishioner	0.0770573
Asian	0.0770461
"working class"	0.0769576
majority	0.0768923
"college student"	0.0767913
"native American"	0.0767744
"Shiite Muslim"	0.0764407
advocate	0.0763044
Tutsi	0.0762035
villager	0.0760774
missionary	0.0760137
youth	0.0759944
Libertarian	0.0759451
"business leader"	0.075659
cleric	0.0756114
Nigerian	0.0755797
party	0.075557
demonstrator	0.0755405
Tibetans	0.0753558
professional	0.0753395
"elected official"	0.0752919
worshipper	0.0752746
atheist	0.075225
foreigner	0.075058
Cuban-American	0.0748701
journalist	0.0747717
"Roman Catholic Church"	0.074647
fundamentalist	0.0746218
peasant	0.0744537
churchgoer	0.0743103
"political party"	0.0740287
teacher	0.0738865
"New Yorker"	0.0737659
Anglo	0.0734661
Kurdish	0.0733901
ally	0.0732647
"ethnic group"	0.0730185
consumer	0.0730116
male	0.0728639
teen-ager	0.0727377
"middle class"	0.0727108
clergymen	0.0726573
Texan	0.072413
congregation	0.0723705
rabbi	0.0722159
Californian	0.0719578
theologian	0.0719249
"East Timorese"	0.0717785
ultra-Orthodox	0.0717218
doctor	0.0716693
parish	0.0715893
"Kosovo Albanians"	0.0715754
African	0.0715273
"Catholic Church"	0.0713758
child	0.0713082
listener	0.0712051
"university student"	0.0711018
businessmen	0.0710283
dissident	0.0708936
Tamil	0.0705955
man	0.070562
faithful	0.0705107
"South African"	0.0704879
veteran	0.0704419
Hutus	0.0704239
constituent	0.0704222
electorate	0.0703861
"American Indian"	0.0703752
Indian	0.0703737
Cambodian	0.0703676
Cuban	0.0702585
Asian-Americans	0.070231
"Greek Cypriot"	0.0702282
"Southern Baptists"	0.0701987
religious	0.0701881
viewer	0.0698122
soldier	0.06969
civilian	0.0696864
volunteer	0.0693558
population	0.0692349
congressmen	0.0692178
tourist	0.0692142
Hungarian	0.069109
guerrilla	0.0688481
senator	0.0687844
those	0.0687289
scholar	0.068671
youngster	0.0685794
landowner	0.0684995
adult	0.0682609
individual	0.0682597
Haitian	0.0682138
constituency	0.068208
inmate	0.0679994
investor	0.0679636
))
("Catholic Charities" (desc 1267.33) (sims
"National Republican Congressional Committee"	0.11771
"American Jewish Committee"	0.115656
"New York Civil Liberties Union"	0.111455
"Democratic Congressional Campaign Committee"	0.110506
"Planned Parenthood"	0.101113
"Handgun Control"	0.100471
"Arnold Communications"	0.0998214
"U.N. World Food Program"	0.0984305
"Handgun Control Inc."	0.097771
"American Association of Health Plans"	0.0959217
Caritas	0.0951524
"Legal Aid Society"	0.09443
"American Lung Association"	0.0934806
"U.S. Soccer Federation"	0.0930068
"Democratic Senatorial Campaign Committee"	0.0924742
"U.S. Immigration and Naturalization Service"	0.0923693
"Health and Human Services Department"	0.0899412
"Department of Corrections"	0.0899403
"Cuban American National Foundation"	0.0880329
MSF	0.0866985
"Anti-Defamation League"	0.0853486
"Department of Environmental Protection"	0.0851365
"Atlanta Committee"	0.083527
CCF	0.083467
"Families USA"	0.0824553
"World Vision"	0.0824293
SCLC	0.0813875
"National Marine Fisheries Service"	0.081204
"Board of Elections"	0.0800519
"Department of Public Health"	0.0799887
"Federal Reserve Bank"	0.0797299
"NFL Players Association"	0.0795312
"General Services Administration"	0.0791157
"Federal Emergency Management Agency"	0.0783516
"International Rescue Committee"	0.0779644
counterterrorism	0.0775102
"American Red Cross"	0.076394
YankeeNets	0.0762115
"Local @@"	0.0760271
"Housing Authority"	0.0756059
"Boys Ranch"	0.0743924
"European Bank for Reconstruction"	0.0733257
"Electronic Privacy Information Center"	0.0732732
"U.S. Golf Association"	0.07309
CRI	0.0728585
"Health Department"	0.0721565
"Center for Democracy"	0.0714405
USAID	0.0708402
"Hearst Corporation"	0.0704586
"National Alliance"	0.0699601
CMA	0.0690277
"Family Research Council"	0.0688383
"Department of Public Safety"	0.0683872
"Fish and Wildlife Service"	0.0681566
"Blue Cross"	0.0679736
"Airport Authority"	0.0679282
CPS	0.0672963
"National Organization"	0.0669236
"Securities Industry Association"	0.0661238
"National Association of Broadcasters"	0.0659936
"Motion Picture Association of America"	0.0659642
"Con Edison"	0.0655117
"Labor office"	0.0653827
"American Association of Retired Persons"	0.0653744
"civil defense"	0.0650646
"Department of Transportation"	0.0637088
"Park Service"	0.0634607
"U.S. Fish and Wildlife Service"	0.0633702
"Democratic Leadership Council"	0.0631759
"World Jewish Congress"	0.0625694
"Salt Lake Organizing Committee"	0.0623966
"Audubon Society"	0.0623468
"CBS Sports"	0.0622666
"Players Association"	0.0619636
"John F. Kennedy Library"	0.0617574
"Center for Strategic"	0.0616975
"U.S. Chamber of Commerce"	0.061664
"Common Cause"	0.0612095
"Lincoln Center Theater"	0.0610964
"Wine Institute"	0.0610859
"American Civil Liberties Union"	0.0610668
"National Audubon Society"	0.0604993
"National Education Association"	0.0604471
"Solomon R. Guggenheim Museum"	0.0603526
"Humane Society"	0.0602981
"Recording Industry Association of America"	0.0602741
HKTA	0.0602038
DrKoop.com	0.0600783
"Democratic National Committee"	0.0599991
"American Psychological Association"	0.0598801
"Association of Flight Attendants"	0.0598572
"U.S. Trust"	0.0597961
"American Heart Association"	0.0594935
hospice	0.0594911
"Waste Management"	0.0592568
"United Parcel Service"	0.0592492
Univision	0.0591525
"National Federation"	0.0590762
CWA	0.0590071
"Electronic Frontier Foundation"	0.0587581
"League of Conservation Voters"	0.0587021
WGBH	0.0587004
"Weight Watchers"	0.0586901
daycare	0.0586633
"Con Ed"	0.0586586
SBA	0.05852
"Sydney Organizing Committee"	0.0582278
"United Way"	0.0579834
UNAIDS	0.0577225
GOPAC	0.0576936
"Violence Policy Center"	0.0576029
"Koch Industries"	0.0575793
"National Association"	0.0575721
ACOG	0.0572475
"Saks Fifth Avenue"	0.0572133
"Southeastern Legal Foundation"	0.057093
"American Ballet Theater"	0.0570621
"Human Rights Watch"	0.0569103
"National Trust"	0.0568548
"World Food Program"	0.0567518
"Defense Agency"	0.056691
"Russian Defense Ministry"	0.0565201
"Human Rights Campaign"	0.0563743
"Air Transport Association"	0.056299
UNRWA	0.0558619
NARAL	0.0557468
"FAO Schwarz"	0.0556312
"Field Poll"	0.0555702
"District Council"	0.0554973
Bridgestone/Firestone	0.0554414
Archdiocese	0.0554219
"Department of Commerce"	0.0554114
Unicom	0.0552617
"Consumer Federation"	0.0552516
"Whitney Museum of American Art"	0.0549655
"right to life"	0.0547605
"Civil Aviation Authority"	0.0546945
"State Bureau of Cultural Relics"	0.0545531
"Republican Leadership Council"	0.0544979
SMI	0.054395
"Center for Science"	0.0543569
USATF	0.0542067
"US District Court"	0.0541246
"Log Cabin Republicans"	0.0540855
"National Hurricane Center"	0.0540412
"Voice of America"	0.0539879
"American Petroleum Institute"	0.0539715
"Levi Strauss &AMP; Co."	0.0538761
"federal department"	0.0538686
"New York Times Co."	0.053853
"Levi Strauss"	0.0538023
"National Council of La Raza"	0.0536607
"Dana-Farber Cancer Institute"	0.0535431
"Nevada State Athletic Commission"	0.0533959
"U.S. Customs Service"	0.0532776
Wellness	0.053193
EEOC	0.053071
"Sierra Club"	0.0529898
"Port Authority"	0.0527478
"Roundabout Theater Company"	0.0527275
AARP	0.0525631
"Olympic Committee"	0.0525402
CAAC	0.052522
"United Nations Population Fund"	0.0524363
"Nature Conservancy"	0.0524284
"International Ski Federation"	0.0522819
"National Urban League"	0.0522679
"Australian Olympic Committee"	0.0522648
"Olympic Council of Asia"	0.0519973
Wyeth-Ayerst	0.0519523
"U.S. Olympic Committee"	0.0518576
"Orange County Register"	0.0518006
OCA	0.0517171
"Film Forum"	0.0516973
"District Court"	0.0516372
"blood bank"	0.0514764
"Israeli Foreign Ministry"	0.051471
"International Red Cross"	0.0513571
"Yankee Group"	0.0512678
"Halliburton Co."	0.0512167
"Chevron Corp."	0.0511234
"Department of Energy"	0.0510668
"Xinhua News Agency Hong Kong Branch"	0.0509634
"Local @@@"	0.050957
"American Bankers Association"	0.0509041
"Enron Corp."	0.0507172
UNFPA	0.0505952
"Mercy Hospital"	0.0505485
"Sheraton Hotel"	0.0505214
"Forest Service"	0.0504304
"Census Bureau"	0.0504104
"Justice Center"	0.0503892
UNDCP	0.0502801
"Metropolitan Transportation Authority"	0.0502601
"Jewish Museum"	0.0499478
"International Tennis Federation"	0.0499415
"Christian Coalition"	0.0499218
"Health Care Financing Administration"	0.0499094
"Rockefeller University"	0.0498827
"McKinsey &AMP; Co."	0.0498202
))
("Catholic Church" (desc 13996.3) (sims
"Roman Catholic Church"	0.230313
"Episcopal Church"	0.142453
church	0.125129
"Orthodox Church"	0.104439
Vatican	0.087492
"labor union"	0.0790488
"Greek Orthodox Church"	0.0788229
"United Methodist Church"	0.0780174
parish	0.0777579
"business community"	0.0754186
Catholic	0.0713758
diocese	0.0713668
"labor movement"	0.071174
"Communist Party"	0.0700628
"Church of England"	0.0695696
Islam	0.0695569
"National Rifle Association"	0.0692661
"Serbian Orthodox Church"	0.0690746
NRA	0.0688378
"trade union"	0.0687177
"Russian Orthodox Church"	0.068133
Christianity	0.0656634
"Anti-Defamation League"	0.0634868
SPLA	0.0634854
ANC	0.0627837
"political party"	0.0624541
Basilica	0.0623871
Cathedral	0.0620186
"Islamic Jihad"	0.0619741
"Democratic Unionist Party"	0.061972
Catholicism	0.0612872
"Republican Party"	0.0610871
"Reform Judaism"	0.0609085
NAACP	0.0594601
"Amnesty International"	0.0591261
"Conservative Party"	0.0587051
NDF	0.058446
"Christian church"	0.0583911
clergy	0.0583728
"federal government"	0.0580047
seminary	0.0572186
"political leader"	0.0571131
"African National Congress"	0.0568318
Judaism	0.0568121
denomination	0.0566873
Archdiocese	0.0563964
Buddhism	0.0562057
"entertainment industry"	0.0561019
PLO	0.0560163
LDP	0.0557655
fundamentalist	0.0557464
"United Nations"	0.0556689
"Congress Party"	0.055349
"Democratic Party"	0.0550375
sect	0.0550284
"religious leader"	0.0550043
Hamas	0.0538337
pope	0.0534858
congregation	0.0530123
"interest group"	0.0526057
environmentalist	0.0524144
"Roman Catholic"	0.0519099
"National Liberation Army"	0.051877
"local government"	0.051782
FARC	0.0513553
"police department"	0.0510981
Judiciary	0.0510058
"Roman Catholicism"	0.0509481
"United States government"	0.0508683
"United Church of Christ"	0.0507875
"First Baptist Church"	0.0505546
religion	0.0505315
KLA	0.05048
"organized crime"	0.0504282
USOC	0.050412
"non-governmental organizations"	0.0503792
"international organization"	0.0498434
TNI	0.0498088
"Christian Coalition"	0.0496548
"International Red Cross"	0.0495487
UUP	0.0495
christian	0.049436
AFL-CIO	0.0494009
unionist	0.0492783
SDLP	0.0491445
ICRC	0.0490584
"St. Peter"	0.0489869
"Labor Party"	0.048928
hard-liner	0.0488439
"Sinn Fein"	0.0487683
"Red Cross"	0.0487639
hardliner	0.0487497
"business sector"	0.0487233
PRI	0.0486413
"Palestinian Authority"	0.0486125
cartel	0.0486106
ama	0.0485577
RUF	0.0484153
government-in-exile	0.0476603
Monastery	0.0475315
UNP	0.0475184
"Chinese government"	0.0473378
"Real IRA"	0.0472272
bishop	0.0471724
"armed forces"	0.0471234
"Palestine Liberation Organization"	0.0470648
"tobacco industry"	0.0470623
SDP	0.0468364
Kremlin	0.0467763
Mormon	0.0467099
Shas	0.0466953
IMF	0.0465987
"National Council of Churches"	0.0465598
"business interest"	0.0464775
"nuclear power"	0.0464611
GOP	0.046009
Taliban	0.045918
NGOs	0.0457312
"Aryan Nations"	0.0456306
OSCE	0.0456103
MDC	0.0455534
Communist	0.0455527
"Clinton Administration"	0.045542
USTA	0.0455373
bloc	0.0455035
"boy scout"	0.0454753
"National League for Democracy"	0.0453347
"medical community"	0.0452068
U.N.	0.045146
Amal	0.0450632
UN	0.0449193
IOC	0.0449132
"business organization"	0.0449103
cult	0.0448839
CEC	0.0448679
NPA	0.0447029
"Dalai Lama"	0.044596
"United National Party"	0.0445648
Jew	0.0445126
ELN	0.0445009
hierarchy	0.0443034
Klan	0.0442642
"National Democratic Front"	0.0442469
PLA	0.044195
"religious order"	0.044032
"Irish Republican Army"	0.0439559
employer	0.0438994
"Democratic Leadership Council"	0.0438566
junta	0.0438518
LTTE	0.0438079
"school district"	0.0438023
"National Front"	0.0437791
"Green Party"	0.0437452
"social organization"	0.0437185
"Sierra Club"	0.0436904
Moslem	0.0436877
"legal profession"	0.0436581
Arab	0.0436384
MILF	0.0435546
faction	0.0435469
"Center Party"	0.0435414
"European nation"	0.043503
UNICEF	0.0434687
"Mormon Church"	0.0434359
"Orange Order"	0.043265
ETA	0.0431597
"National Party"	0.0431374
Protestant	0.0429265
ACLU	0.042923
"Liberal Party"	0.042898
militia	0.0428754
Orthodox	0.04268
caste	0.0426268
"Chinese Communist Party"	0.042609
"Social Democratic Party"	0.0425551
"Ulster Unionist Party"	0.0424901
"American Red Cross"	0.0424412
tribe	0.0424258
"social group"	0.0423092
UNITA	0.0422556
"U.N. agencies"	0.0421303
"Liberal Democratic Party"	0.0420898
UNESCO	0.0419959
"American Medical Association"	0.0419886
Mafia	0.0419816
G-@	0.0419399
KDP	0.0418813
"medical profession"	0.0418725
MNLF	0.0418719
"Congressional Black Caucus"	0.041845
"security force"	0.0417588
"World Bank"	0.0416868
"Salvation Army"	0.0416671
"royal family"	0.0416012
"popular front"	0.0415422
CPC	0.0415072
"Kenya African National Union"	0.0414728
"Bharatiya Janata Party"	0.0413997
"Economic Community"	0.041283
"U.S. State Department"	0.0412061
))
("Catholic school" (desc 7976.51) (sims
"parochial school"	0.158766
"private school"	0.158566
"religious school"	0.142689
"elementary school"	0.140898
"public school"	0.130566
"primary school"	0.126068
"grammar school"	0.125074
"middle school"	0.117971
seminary	0.116388
"secondary school"	0.114971
"community college"	0.11426
"vocational school"	0.114023
"nursery school"	0.112669
"boarding school"	0.107066
"art school"	0.0976414
"high school"	0.0976088
College	0.0968367
"prep school"	0.0944337
"medical school"	0.0936747
"business school"	0.092743
"grade school"	0.0925947
Juilliard	0.0897593
"junior high school"	0.0894525
"Brigham Young University"	0.0881777
preschool	0.0833121
yeshiva	0.0822148
kindergarten	0.0819375
"school district"	0.0815826
"Harvard Business School"	0.0814681
"technical school"	0.0792837
Convent	0.0787915
"Sunday school"	0.0783695
"senior high school"	0.0783103
"junior college"	0.0782303
"school system"	0.077819
"American University"	0.0762046
"P.S @@@"	0.0759798
orphanage	0.0752306
"junior high"	0.0742053
"military academy"	0.0729622
"Howard University"	0.0729295
conservatory	0.0712704
"educational institution"	0.0706215
"day care center"	0.0683244
synagogue	0.0683013
"music school"	0.068004
parish	0.0679126
"Juilliard School"	0.067789
"first grade"	0.0677216
"preparatory school"	0.0674192
"Harvard College"	0.0671756
"City College"	0.066264
"community center"	0.0662533
"air force academy"	0.0661484
"house of worship"	0.0659722
schoolhouse	0.0653245
academy	0.0651784
second-grade	0.0648502
"Bob Jones University"	0.0642735
"Qinghua University"	0.0642547
"second grade"	0.0638614
"Northwestern University"	0.062996
"Brown University"	0.062932
"Kennedy School"	0.062407
"Dartmouth College"	0.0618025
clinic	0.0616388
"West Point"	0.0613502
K-@@	0.061103
"law school"	0.0607604
"nonprofit organization"	0.0606646
"University of Southern California"	0.0606123
"medical center"	0.0605852
"sixth grade"	0.0604198
"Harvard Law School"	0.0602474
"Los Angeles Unified School District"	0.0600801
"Indiana University"	0.0599788
"Columbine High School"	0.059706
"Central High School"	0.059531
Yale	0.0592658
"Georgetown University"	0.0592573
Vassar	0.059001
third-grade	0.0589776
"State University of New York"	0.0589675
"police academy"	0.0588654
"University of South Carolina"	0.0588274
"nursing home"	0.0578929
"University of Tennessee"	0.0575034
"Yale Law School"	0.0574627
"subject area"	0.0574314
"graduate school"	0.057299
"Syracuse University"	0.0572903
"Northeastern University"	0.0568074
UNAM	0.0565774
"University of Zimbabwe"	0.0565056
seminarian	0.056334
"New York University"	0.0560653
sixth-grade	0.0560165
"University of Maryland"	0.0557607
"summer camp"	0.0556372
"school of music"	0.0553703
MIT	0.0553226
"inner city"	0.0552765
mosque	0.0552456
classroom	0.0551137
gym	0.0550958
NYU	0.0547446
"Cornell University"	0.0546549
"Beijing University"	0.0545727
Harvard	0.0545616
"University of Texas"	0.0544282
"Christian church"	0.0543771
"University of Minnesota"	0.054147
"Harvard University"	0.0540388
"Columbine High"	0.0539191
"movie theater"	0.0535718
"Orthodox Church"	0.053478
"University of Utah"	0.0533335
"fire station"	0.0531005
"Massachusetts Institute of Technology"	0.0530896
"UC Berkeley"	0.0529306
UMass	0.0527018
"religious order"	0.0526799
"University of Chicago"	0.0526714
Princeton	0.0524593
Dartmouth	0.05217
"shopping center"	0.052099
"Cambridge University"	0.0520681
Columbine	0.0520527
"Yale university"	0.0518105
"opera company"	0.0517634
Monastery	0.0513429
"Ohio State University"	0.0511967
"coffee shop"	0.0510511
slaughterhouse	0.0508625
Brandeis	0.0507819
"Columbia University"	0.0507306
mortuary	0.0506536
charity	0.0506124
"special education"	0.0504893
"foster child"	0.0501725
bookstore	0.0499337
"liberal arts"	0.0497523
"University of Georgia"	0.0497298
"eighth grade"	0.0495495
"post office"	0.0494729
"Stanford University"	0.0493482
"Princeton University"	0.0492833
"housing development"	0.049016
"law practice"	0.0489675
"blood bank"	0.0488896
"place of worship"	0.0488309
"University of Massachusetts"	0.0487416
dispensary	0.0486213
"school of law"	0.0485879
UGA	0.048567
Oxford	0.0485642
"television station"	0.0485559
"two schools"	0.0484344
"psychiatric hospital"	0.0484263
"University of Illinois"	0.048383
"medical institution"	0.0482272
"business sector"	0.048221
brothel	0.0481712
"business organization"	0.0480365
YMCA	0.0478776
morgue	0.0478773
"one school"	0.0477644
tavern	0.0477301
"radio station"	0.0476549
"University of Mississippi"	0.0476057
LAUSD	0.0475025
"dairy farm"	0.047498
"University of Kentucky"	0.0474771
"gas station"	0.0474303
"alma mater"	0.0473447
"Texas Christian University"	0.047285
"language school"	0.04721
"abortion clinic"	0.0471558
"Nankai University"	0.0470955
"Heritage High School"	0.0470066
Pharmacy	0.0469615
"Rice University"	0.0469112
"jewelry store"	0.0469017
schoolchildren	0.0468642
"Boston University"	0.0467635
"day care"	0.0466056
"publishing company"	0.0465534
"University of New Mexico"	0.0463207
"District @@"	0.0463053
"Tufts University"	0.0462414
"service station"	0.0462214
"University of Kansas"	0.0461852
"Williams College"	0.0461801
"University of Houston"	0.0461076
"Boston College"	0.0460524
brewery	0.0459344
congregation	0.045934
nursery	0.0459297
"retail store"	0.0459112
"amusement park"	0.0458685
))
("Catholic University" (desc 1499.97) (sims
"University of Notre Dame"	0.303433
"Smith College"	0.241717
"Fordham University"	0.206027
"Rice University"	0.195511
"Georgetown University"	0.18794
"George Washington University"	0.174198
"George Mason University"	0.168541
"Howard University"	0.163356
"Emory University"	0.160551
"University of Rochester"	0.158862
"Queens College"	0.157781
"University of Toronto"	0.157235
"Brigham Young University"	0.156397
"American University"	0.155623
"University of New Hampshire"	0.155454
"Florida International University"	0.155028
"Hebrew University"	0.153222
"San Francisco State University"	0.147478
"College of Charleston"	0.143452
"Tufts University"	0.142459
"Kennedy School of Government"	0.141307
"University of Zimbabwe"	0.140567
"Temple University"	0.140412
"Texas Christian University"	0.139168
"Purdue University"	0.139143
"University of Maryland"	0.137851
"University of New Mexico"	0.137523
"North Carolina State University"	0.136516
"Baylor University"	0.136513
"London School of Economics"	0.136438
"Auburn University"	0.135727
"Hunter College"	0.134971
"UC Berkeley"	0.134928
"University of Dayton"	0.134924
"Wright State University"	0.134797
"Vanderbilt University"	0.134732
"University of Southern California"	0.133613
"Wake Forest University"	0.132774
"Kennedy School"	0.131772
"Kansas State University"	0.130781
"National Autonomous University of Mexico"	0.126864
"University of Virginia"	0.126066
"University of Oklahoma"	0.12586
"University of Florida"	0.125591
"Barnard College"	0.122647
"Harvard Medical School"	0.122551
"Michigan State University"	0.121498
"University of Kansas"	0.121433
"Brandeis University"	0.12013
"city university"	0.119541
"Yale Law School"	0.119512
"University of South Carolina"	0.119385
"Harvard University"	0.119026
"University of Miami"	0.118874
"Williams College"	0.118346
"Northwestern University"	0.118191
"University of Kentucky"	0.117473
"University of Colorado"	0.117412
"National Autonomous University"	0.116343
"Dartmouth College"	0.115821
"Boston University"	0.115799
"Louisiana State University"	0.115775
"Northeastern University"	0.11559
"Makerere University"	0.113282
"University of Chicago"	0.112011
"University of Wisconsin"	0.111927
"Boston College"	0.11171
"University of Cincinnati"	0.111491
"Stanford University"	0.111129
"University of Houston"	0.111052
"Harvard Law School"	0.110803
"New York University"	0.110764
"Washington University"	0.11046
"Arizona State University"	0.110265
"John F. Kennedy School of Government"	0.109444
"Georgia State University"	0.10852
"School of Public Health"	0.107885
"University of Nevada"	0.107275
"Princeton University"	0.106619
"University of Arkansas"	0.106202
"University of Hong Kong"	0.105389
"University of North Carolina"	0.105129
"Duke University"	0.105064
"Harvard School of Public Health"	0.104875
"Syracuse University"	0.103726
"University of Pittsburgh"	0.10364
"Colorado State University"	0.102652
"Brown University"	0.102509
"University of Pennsylvania"	0.102033
"Florida State University"	0.101711
"Harvard Business School"	0.100784
"Yale university"	0.100635
"Massachusetts Institute of Technology"	0.10062
"State University of New York"	0.10008
"Oxford University"	0.100061
"University of Missouri"	0.0972993
"University of California"	0.0972827
"University of Texas"	0.0968805
"Iowa State University"	0.0960013
"University of Massachusetts"	0.0958212
"University of Illinois"	0.0957973
"California State University"	0.0955326
"Tehran University"	0.0942994
"University of Arizona"	0.0941621
"City University of New York"	0.0939918
"University of Georgia"	0.0933015
"Ohio State University"	0.0926974
"U.S. Naval Academy"	0.0925255
"McGill University"	0.0922505
"Johns Hopkins University"	0.0899078
"University of Iowa"	0.0894094
"Rutgers University"	0.0887095
seminary	0.0885044
"Pennsylvania State University"	0.0873278
Vassar	0.0872342
"University of Hawaii"	0.0849815
"University of Nebraska"	0.0844399
"University of Utah"	0.0842005
"American Psychological Association"	0.084046
"Indiana University"	0.0835915
"Carnegie Mellon University"	0.0834601
Brandeis	0.0813219
"University of Michigan"	0.0811544
"Hofstra University"	0.0806007
"Washington State University"	0.0798463
"University of Tennessee"	0.0791928
"American Enterprise Institute"	0.0790283
"University of Alabama"	0.0781075
"community college"	0.0780562
Sorbonne	0.078044
Cornell	0.0777678
"Earth Summit"	0.0777169
"Southern Methodist University"	0.0775198
"Johns Hopkins"	0.0773176
"Columbia University"	0.0771282
"Texas Tech University"	0.0769886
"Defense Fund"	0.076879
"Cornell University"	0.0768601
"University of Wyoming"	0.0757911
Emory	0.0743478
"Cambridge University"	0.0741254
"University of Minnesota"	0.0741065
"Furman University"	0.0740086
"Juilliard School"	0.0721823
"Urban Institute"	0.0720731
"City College"	0.0718673
"University of Connecticut"	0.0716319
"Trinity College"	0.0714748
"Amherst College"	0.0706842
"Seton Hall University"	0.0694203
"University of Mississippi"	0.0684863
"school of medicine"	0.0682081
"teachers college"	0.0676646
"Wharton School"	0.067644
"Cooper Union"	0.0660412
"Graduate School of Business"	0.0657368
"University of Oregon"	0.0648896
"Nanjing University"	0.0646951
"Rockefeller University"	0.0645517
"University of Rhode Island"	0.0644871
"Wesleyan University"	0.0640384
"Violence Policy Center"	0.0638271
"business school"	0.0638083
UMKC	0.0637687
"University of Washington"	0.0630799
"Peking University"	0.0627801
Ph.D.s	0.0627205
"Beijing University"	0.0609656
Dartmouth	0.0607079
"Israeli Embassy"	0.0605706
"RFK Stadium"	0.0601309
"California Institute of Technology"	0.0588965
"American Jewish Committee"	0.0585855
"Georgia State"	0.0583518
"Electronic Privacy Information Center"	0.058233
"National Zoo"	0.0571897
"Mount Sinai Medical Center"	0.056956
"Corcoran Gallery"	0.0567399
"Carnegie Endowment"	0.0552007
"Turkish Embassy"	0.0548235
"Qinghua University"	0.0545202
"Harvard College"	0.0541415
"Zhejiang University"	0.0541202
"navy yard"	0.0538885
Hirst	0.0538875
"school of law"	0.0537126
"Kennedy Center"	0.0536792
"Union of Concerned Scientists"	0.0529524
"Public School @@@"	0.0527104
"Chinese University of Hong Kong"	0.0525787
"West Point"	0.0520699
"Snake River"	0.0519951
"St. Mark"	0.0516342
"graduate school"	0.0498422
"National Press Club"	0.0497919
"Fudan University"	0.0497193
CalTech	0.0494426
"Brookings Institution"	0.0490519
B.S	0.048228
Juilliard	0.0482159
))
(Catholicism (desc 9849.45) (sims
"Roman Catholicism"	0.224924
Judaism	0.180381
Hinduism	0.179568
Christianity	0.174527
Buddhism	0.16394
Islam	0.15599
Protestantism	0.116287
Confucianism	0.10964
Taoism	0.109028
religion	0.101578
Mormonism	0.090003
orthodoxy	0.079923
secularism	0.0742396
witchcraft	0.0731729
Qigong	0.072699
nationalism	0.0722947
"Falun Gong"	0.0722443
faith	0.0699996
Wicca	0.0690265
Capitalism	0.0686218
Zionism	0.0669844
Marxism	0.0643726
Republicanism	0.0640411
polygamy	0.0620103
"Catholic Church"	0.0612872
democracy	0.0603543
fundamentalism	0.0597244
"Roman Catholic Church"	0.0595338
feminism	0.0585546
"Tibetan Buddhism"	0.0559666
cult	0.0535758
liberalism	0.0533399
ideology	0.052842
creationism	0.0527997
modernism	0.0526422
philanthropy	0.0522651
spirituality	0.0515783
separatism	0.0512589
philosophy	0.050752
anti-Semitism	0.0503307
euthanasia	0.0502975
environmentalism	0.0500544
pacifism	0.0490597
communism	0.0483507
"freedom of speech"	0.0480106
monarchy	0.0479454
activism	0.0479221
theology	0.0478162
Moslem	0.0469683
homosexuality	0.0466701
yoga	0.0465997
"labor movement"	0.0465225
sect	0.045472
superstition	0.0452897
patriotism	0.0452567
individualism	0.0452155
suffrage	0.0446248
"market economy"	0.0445556
protectionism	0.0443807
Journalism	0.0442577
morality	0.0439984
Cookery	0.0437835
"drug problem"	0.0437711
creed	0.0434571
"power politics"	0.0434446
Nazism	0.0433382
"religious movement"	0.0432945
evangelism	0.0431223
Mormon	0.0426628
racism	0.0425984
papacy	0.0420171
slavery	0.0420139
farming	0.0418595
"martial art"	0.041515
isolationism	0.0412798
"rule of law"	0.0411463
"majority rule"	0.0411355
extremism	0.041059
traditionalism	0.0408597
theologian	0.0408174
"welfare state"	0.040763
Jewishness	0.0407214
xenophobia	0.0403533
pluralism	0.04033
denomination	0.04029
"Roth IRA"	0.0402733
"alternative medicine"	0.0402697
circumcision	0.0402494
))
(Cathy (desc 3638.19) (sims
Kathy	0.181542
Kathleen	0.174133
Eileen	0.172108
Lynne	0.167843
Pam	0.152551
Suzanne	0.148955
Tracey	0.145424
Pauline	0.144122
Kristin	0.142598
Debbie	0.141859
Diane	0.139674
Cherie	0.137485
Cindy	0.136668
alicia	0.136435
Carolyn	0.136328
Gail	0.135903
Michele	0.135644
Maureen	0.135273
Doris	0.134431
"Azizah Ismail"	0.134114
Dorothy	0.133653
Terri	0.133248
Phyllis	0.132822
Michelle	0.131722
Denise	0.131534
Jacqueline	0.130294
Barbara	0.12868
Juanita	0.128308
Hadassah	0.12827
Brenda	0.128216
Janet	0.128185
Patti	0.126914
Rita	0.125841
Stephanie	0.125479
Olga	0.125397
Sally	0.125122
Beth	0.125074
Valerie	0.124528
Beverly	0.124308
Edith	0.123941
Sonia	0.123613
Connie	0.123541
Helen	0.122703
Susan	0.122364
Liz	0.122299
Evelyn	0.122007
Nora	0.121769
Patricia	0.119943
Christine	0.118776
JoAnne	0.117971
Karen	0.117572
Laura	0.116807
Millie	0.116705
Monique	0.116674
Carol	0.116189
Teresa	0.116052
Esther	0.115777
Marlene	0.115575
Polly	0.113757
Lisa	0.113749
Marianne	0.11324
ANN	0.113026
Nancy	0.112628
Miriam	0.111644
Sylvia	0.11132
Donna	0.111273
Kathryn	0.110969
Cheryl	0.110929
Lydia	0.110618
Judy	0.110094
Margaret	0.109833
Betsy	0.109821
Josephine	0.109428
Linda	0.109299
Julie	0.108783
Jeanne	0.108714
Marta	0.107907
Sheryl	0.10773
Theresa	0.107425
Lois	0.106882
Deborah	0.106728
Lori	0.106169
Eleanor	0.105812
Sara	0.105705
Frances	0.105548
gloria	0.105089
Jill	0.104898
Vicki	0.104863
Melinda	0.104813
Shirley	0.104404
Debra	0.103341
Marilyn	0.102619
Annie	0.102592
Brooke	0.101663
Peggy	0.10097
Norma	0.100703
Elaine	0.100586
Marian	0.100461
Katherine	0.0997081
Olivia	0.0994696
Rachel	0.0994316
Wanda	0.0993747
Anita	0.0984938
Irina	0.0974091
Janice	0.0972906
becky	0.0972636
Tipper	0.0969711
Andrea	0.0967129
Dolores	0.0964419
Katie	0.0961448
"Carolyn Bessette Kennedy"	0.0953732
Claudia	0.0948905
Sarah	0.094196
Laurie	0.0941618
Jennifer	0.0936807
"Graca Machel"	0.0935837
Claire	0.0932958
Kimberly	0.0931189
Amy	0.0930855
Rebecca	0.0929714
Caroline	0.0926061
Lynn	0.091439
Camille	0.0913954
Naomi	0.0913834
Melanie	0.0913733
Alexandra	0.091248
Audrey	0.091006
colleen	0.0907867
Judith	0.0906039
Betty	0.0905344
Lyn	0.0902328
Toni	0.0900512
Julia	0.0898671
"Wang Yeping"	0.0897928
Robin	0.0895764
Martha	0.0885274
Winnie	0.0884608
Marie	0.0883902
Chris	0.0878444
Sandra	0.0877331
Erica	0.0871389
Mona	0.0867814
Elena	0.0865066
Nicole	0.0860414
Vera	0.0857691
"Queen Noor"	0.0856644
Anne	0.0853622
Lucy	0.0851955
hazel	0.0851883
Angela	0.0850406
Roberta	0.0849326
Joan	0.0849168
Nina	0.0847816
Kevin	0.0845864
Renee	0.0845688
Leah	0.0841642
Ellen	0.083644
Kate	0.0836076
Clara	0.0828083
Louise	0.0827633
Sheila	0.0826491
Lucia	0.0824579
Jamie	0.0819079
Melissa	0.0818613
Christina	0.081328
Heidi	0.0812497
Marcia	0.0811314
"Zhu Lin"	0.0810635
Paulina	0.0800284
"Leigh Ann"	0.0799519
Cynthia	0.0798321
Jane	0.0787794
Alice	0.0781536
Jonathan	0.0778302
sandy	0.0777
Catherine	0.07753
Lucille	0.0771141
Maria	0.0770241
Ruth	0.0760298
"Carmen Electra"	0.0759571
Carrie	0.0756992
"Barbara Bush"	0.075305
Antonio	0.0746078
Beatrice	0.0745687
Dora	0.0744102
Pamela	0.0744052
Jessie	0.0743748
Colette	0.0743734
Hillary	0.0739599
Jackie	0.0739154
Vivian	0.0737887
Nikki	0.0732559
Rhonda	0.0726647
Tina	0.0725079
Paula	0.0724645
"Jane Fonda"	0.0721819
"Marisleysis Gonzalez"	0.0721722
heather	0.0720965
Elizabeth	0.0720862
Yarmila	0.0718044
))
("Cathy Freeman" (desc 4023.99) (sims
"Michael Klim"	0.236965
"Maurice Greene"	0.220613
"Gail Devers"	0.219785
"Marion Jones"	0.215179
"Irina Privalova"	0.210146
"Susie O'Neill"	0.20959
"Allen Johnson"	0.209434
"Donovan Bailey"	0.208169
"Ian Thorpe"	0.20382
"Linford Christie"	0.197374
"Marie-Jose Perec"	0.192275
"Doug Walker"	0.183597
"Kieren Perkins"	0.183265
"Michael Johnson"	0.181894
"Frankie Fredericks"	0.181002
"Grant Hackett"	0.180931
"Svetlana Masterkova"	0.180124
"Michael Doohan"	0.179845
"Deon Hemmings"	0.175728
Devers	0.172814
"Derrick Adkins"	0.170617
"Rodney Eyles"	0.168435
"Emma George"	0.167755
"Gabriela Szabo"	0.166506
"Samantha Riley"	0.166076
"Svetlana Khorkina"	0.163881
"Ato Boldon"	0.163564
"Alexei Nemov"	0.162916
"Maria Mutola"	0.161543
"Chen Lu"	0.160975
"Wang Junxia"	0.160933
"Stuart O'Grady"	0.160663
"Pat Rafter"	0.160103
"Alexander Popov"	0.158319
"Irina Slutskaya"	0.156857
"Iwan Thomas"	0.155703
"Jackie Joyner-Kersee"	0.155203
"Fatuma Roba"	0.153651
"Sandra Voelker"	0.150999
"Denis Pankratov"	0.150728
"Merlene Ottey"	0.148746
"Dan O'Brien"	0.148726
"Charles Austin"	0.148266
"Dennis Mitchell"	0.148075
"C.J Hunter"	0.147703
"Liu Limin"	0.147178
"Inger Miller"	0.146851
"Wang Yifu"	0.146039
"Li Xuemei"	0.145124
"Pernilla Wiberg"	0.144649
"Maria Butyrskaya"	0.14365
"Jenny Thompson"	0.142974
"John Godina"	0.142267
"Claudia Poll"	0.141014
"Amy van Dyken"	0.138914
"Susanthika Jayasinghe"	0.13868
"Katja Seizinger"	0.137804
"Li Jiajun"	0.137537
"Paul Tergat"	0.136039
"Wilson Kipketer"	0.135315
"Regina Jacobs"	0.134992
"Angelo Taylor"	0.134718
"Roy Jones Jr."	0.132932
"Sonia O'Sullivan"	0.132041
"Carl Lewis"	0.13187
"Felix Savon"	0.131704
"Picabo Street"	0.131516
Shuwei	0.131444
"Bruny Surin"	0.130205
"Tom Dolan"	0.12934
"Elena Berezhnaya"	0.129092
"Chen Jing"	0.128728
"Renate Goetschl"	0.128068
"Deborah Compagnoni"	0.128053
"Mary Slaney"	0.127104
"Mark Richardson"	0.127022
"Alberto Tomba"	0.126829
"Michelle Smith"	0.126345
"Hiroyasu Shimizu"	0.125511
"Fu Mingxia"	0.124785
"Nicole Pratt"	0.123353
"Alexei Urmanov"	0.12319
"Colin Jackson"	0.122602
"Thomas Stangassinger"	0.121356
"Haile Gebrselassie"	0.121071
Ottey	0.120531
"Karrie Webb"	0.120394
"Gary Hall"	0.119298
"Penny Heyns"	0.117899
"Scott Draper"	0.117621
"Oksana Kazakova"	0.117243
"Dong Jiong"	0.116913
"Deng Yaping"	0.116503
"Anjelika Krylova"	0.116394
"Mark Woodforde"	0.115951
"Liu Guoliang"	0.115679
"Patrick Rafter"	0.115551
"Laurent Brochard"	0.115457
"David Reid"	0.114893
"Tara Lipinski"	0.114485
"Lenny Krayzelburg"	0.114382
"Le Jingyi"	0.11419
"Elvis Stojko"	0.114014
"Ivan Pedroso"	0.113677
"Brooke Bennett"	0.113145
"Daniel Kowalski"	0.112561
"Todd Eldredge"	0.112359
"Christine Arron"	0.111647
"Michelle Kwan"	0.110912
"Hicham El Guerrouj"	0.110261
"Heike Drechsler"	0.110254
"Blaine Wilson"	0.10987
"Daniel Komen"	0.109821
Kipketer	0.109687
"Jearl Miles-Clark"	0.109663
"Fiona May"	0.109642
"Johan Museeuw"	0.1094
Doohan	0.108559
"Vanessa Atler"	0.107929
"Simona Amanar"	0.107788
"Jean-Philippe Gatien"	0.107688
"Koji Ito"	0.107339
"Yu Zhuocheng"	0.107225
"Alexei Yagudin"	0.106461
"Liu Xuan"	0.105347
"Todd Woodbridge"	0.104963
"Noureddine Morceli"	0.104643
"Jon Drummond"	0.104028
"Gary Hall Jr."	0.103776
"Randy Barnes"	0.103139
"Hilde Gerg"	0.102686
"Abraham Olano"	0.102204
"Kong Linghui"	0.102125
"Lasse Kjus"	0.101546
"Michael Von Gruenigen"	0.101453
"Lleyton Hewitt"	0.101164
"Susi Susanti"	0.101026
"Jeremy Wotherspoon"	0.100933
"Katarina Witt"	0.100264
"Buster Douglas"	0.100172
"Huang Xu"	0.098606
"Eddie Cheever"	0.0984908
"Ricky Subagja"	0.0983587
"Wang Tao"	0.0981598
"Jason Stoltenberg"	0.0981294
"Florence Griffith Joyner"	0.0978375
"Michael Tebbutt"	0.0975769
"Kostya Tszyu"	0.0974229
"Mark Crear"	0.0965979
"Miguel Indurain"	0.0959059
"Alex Zanardi"	0.0955415
Boldon	0.0954392
Thorpe	0.0953661
"Ye Zhaoying"	0.094452
"Andrew Ilie"	0.0943776
"Marc Rosset"	0.0942989
"Julio Cesar Chavez"	0.0942509
"Bjarte Engen Vik"	0.0940279
"Tegla Loroupe"	0.0937325
"Johnny Tapia"	0.0934757
"Fernando Vargas"	0.0934672
kayaker	0.093408
"Gunda Niemann-Stirnemann"	0.0931528
"Ge Fei"	0.092639
"Tommi Makinen"	0.0924808
"Hermann Maier"	0.0921434
"Michael Schumacher"	0.0920703
"Jelena Dokic"	0.0919996
"Anatoly Karpov"	0.0915876
Sautin	0.0912481
"Jansher Khan"	0.0905737
"Jacques Villeneuve"	0.0905389
"Favorite Trick"	0.0904822
"Richard Fromberg"	0.0901159
"Lance Armstrong"	0.0900122
"Chris Boardman"	0.0897963
"Yang Yang"	0.0897346
"Kenny Brack"	0.089179
"Shannon Miller"	0.0887185
"Jorgen Persson"	0.0886297
Khorkina	0.0884145
"Colin McRae"	0.0881558
"Oksana Baiul"	0.0878092
"Moses Tanui"	0.0877179
"Wang Chunlu"	0.0876738
"Greg Norman"	0.0876294
Artax	0.0873037
"Juha Kankkunen"	0.0872059
"Mark Philippoussis"	0.0869689
"Wang Nan"	0.0866951
"Heryanto Arbi"	0.086444
"Lin Li"	0.0863595
"Al Joyner"	0.0860332
Fredericks	0.0855338
"Phil Coles"	0.085286
"Frank Bruno"	0.085249
"Kim Batten"	0.0848848
"Peter Rasmussen"	0.084616
"Matt Kuchar"	0.0846062
"Max Biaggi"	0.0844879
))
(catnip (desc 1782.32) (sims
"hard sell"	0.0801698
Milkweed	0.072354
"making love"	0.0647823
Must-See	0.0621849
"adult male"	0.0597015
disservice	0.0567819
turnoff	0.0539673
heartening	0.0519065
catering	0.0508572
attractiveness	0.0506302
inhumanity	0.0440334
"big sister"	0.0439652
"trial balloon"	0.0428045
psychopath	0.0425531
"hot potato"	0.0407797
))
(Cato (desc 1989.1) (sims
Artest	0.10387
Kerrigan	0.102266
Stackhouse	0.099441
Cassell	0.0980734
"Van Horn"	0.0971551
Kittles	0.0931986
hodgson	0.0928339
"Kelvin Cato"	0.0904648
Drexler	0.0871453
Iverson	0.0869429
McIlvaine	0.0856586
Webber	0.0840598
Fortson	0.0823041
Laudrup	0.0807296
O'Connell	0.0800088
Hendrickson	0.0784184
Mobley	0.0784055
Garnett	0.0780566
Najera	0.0777736
Goff	0.0769109
Barkley	0.0767783
Pippen	0.0762057
Olajuwon	0.0759581
Laettner	0.0759429
Troussier	0.0754677
Solis	0.075268
Reichel	0.0751314
Beazley	0.0748989
"Brian Shaw"	0.0748557
Cronin	0.0731014
Nguyen	0.0730171
Scalabrine	0.072989
Griffith	0.0729853
Verniero	0.0725382
Lassiter	0.0725137
"Van Exel"	0.0724173
Waltrip	0.072383
Stricker	0.0719601
Colby	0.0716522
Bryant	0.0714814
Polynice	0.0714808
Elie	0.0713689
Yzerman	0.0708905
Camacho	0.0706535
Olowokandi	0.070313
Hardaway	0.0699845
Geiger	0.0697984
Divac	0.0697899
Beasley	0.0697765
Francis	0.0696571
LeClair	0.0695448
"Stacey Augmon"	0.0691864
Gagne	0.0688226
Santangelo	0.0688022
Barrie	0.0687847
Duquette	0.0685376
Kimble	0.0684639
Monson	0.0683597
Shurmur	0.0682384
Wesleyan	0.0681353
Kidd	0.067697
Astaire	0.0676092
Holdsclaw	0.0663736
Croshere	0.0662351
McCray	0.066138
Blount	0.0661068
"Keith Van Horn"	0.0655932
Guthridge	0.0654161
Gervin	0.0653848
Mays	0.0653434
Sapp	0.0651168
Herta	0.0650679
Abdur-Rahim	0.0647972
Garces	0.0646992
Stoudamire	0.0643279
Kemp	0.0643177
Samuelson	0.0638533
Rahal	0.0635517
Marinovich	0.0634933
Calloway	0.0634683
Andreychuk	0.0632051
Paciello	0.062951
Canseco	0.0627071
Alicea	0.0626028
Szczerbiak	0.0624627
Gillom	0.0624264
Maldini	0.0623374
Weatherspoon	0.0621836
Tarver	0.0621689
Hartwig	0.0619995
Howe	0.0618951
Henning	0.0618262
Sahadi	0.0617564
Farah	0.0616645
Lowery	0.0616012
Sabonis	0.0613874
Rongen	0.0611428
Milbury	0.060984
Braswell	0.0609025
BORAS	0.0607485
Owens	0.0607421
Stumpel	0.060546
Hiddink	0.0604807
Jacke	0.0604305
Gorter	0.0603467
Langham	0.0602066
Sorensen	0.0600603
Tauziat	0.0596575
Cink	0.0595902
Lafleur	0.0595052
Murrell	0.059499
El-Amin	0.0594889
Hartman	0.0594558
Hecht	0.059409
Ftorek	0.0593235
PRONGER	0.0589734
Fizer	0.0589294
Neilson	0.058568
MARBURY	0.0584893
Okada	0.0583988
Wilkins	0.0582067
Cota	0.0580702
Gillick	0.0577416
Robson	0.0577222
Lieberthal	0.0577135
Odom	0.0576796
Madsen	0.0574449
Lowry	0.0573401
Rosenthal	0.0571858
Paxon	0.0571656
Kuhn	0.0571295
Hazen	0.0570219
Heinrichs	0.056842
Daft	0.0568144
McCown	0.0568074
Harrington	0.0567835
Rosenblatt	0.0565072
McDuffie	0.0563493
Calvary	0.0563169
Longley	0.0561884
Wolfson	0.0561049
Ruehe	0.0559823
White-McCarty	0.0559764
Leetch	0.0559191
bock	0.0557901
Bottenfield	0.0556931
Seymour	0.0554747
"Dale Ellis"	0.0554309
STALEY	0.0554275
Gadzuric	0.0553551
Sherrill	0.0553056
Shula	0.0550802
Menuhin	0.0550032
Nailon	0.05493
Perisho	0.0548802
Padilla	0.0548063
McKnight	0.0547699
Greenberg	0.054649
Kuehne	0.0546299
Kohler	0.0545719
Kirkland	0.0544247
Muoneke	0.0543523
Bullard	0.0542926
Passarella	0.0541811
Summitt	0.0541481
Pruett	0.0541348
Mihm	0.0539968
Lofton	0.0539679
Musial	0.0539652
Sele	0.0539645
Carr	0.0539152
"Del Piero"	0.0538127
Hartsburg	0.0536766
Ceballos	0.0536599
Tuggle	0.0536336
Ruggiero	0.0534817
Kohn	0.0534605
Masur	0.0533925
Mathis	0.0533167
Ellis	0.0532666
Ditka	0.0532339
Romar	0.0530699
Ellsworth	0.0529925
Benitez	0.0529807
Chamberlain	0.0529794
Bibby	0.0529764
"Charles Barkley"	0.0529681
Potapenko	0.0528136
Baerga	0.0526787
Bierhoff	0.0526194
Duchesne	0.0525819
Wally	0.0525778
Jamison	0.052563
Burt	0.0525245
Atwater	0.0523676
Rothenberg	0.0522958
Drummond	0.0520514
Skiles	0.0520212
Kukoc	0.0520057
Grossman	0.0519434
))
("Cato Institute" (desc 3078.21) (sims
"Brookings Institution"	0.378047
"Heritage Foundation"	0.373562
"American Enterprise Institute"	0.37024
"Urban Institute"	0.293971
"Center for Strategic"	0.284832
"RAND Corp."	0.269025
"Violence Policy Center"	0.24397
"Council on Foreign Relations"	0.232315
"Natural Resources Defense Council"	0.226905
"Center for Democracy"	0.206848
"Family Research Council"	0.196578
"Electronic Privacy Information Center"	0.194612
"Carnegie Endowment"	0.182876
"Center on Budget"	0.17169
"NationsBanc Montgomery Securities"	0.167882
"Center for Responsive Politics"	0.154248
"Consumers Union"	0.145268
"Chinese Academy of Social Sciences"	0.139651
Dataquest	0.137686
"think tank"	0.136098
"Union of Concerned Scientists"	0.134744
"Freedom Forum"	0.132955
"Prudential Securities"	0.131583
"Democratic Leadership Council"	0.123349
DRI	0.121878
"U.S. Chamber of Commerce"	0.121818
"ING Barings"	0.12179
"BancBoston Robertson Stephens"	0.121516
"Donaldson, Lufkin &AMP; Jenrette"	0.121399
Commerzbank	0.121376
"CS First Boston"	0.120771
"Kennedy School of Government"	0.118175
"Conference Board"	0.113108
"Gartner Group"	0.112071
"Human Rights Campaign"	0.111042
"Harvard School of Public Health"	0.107058
"Families USA"	0.106996
"National Association of Manufacturers"	0.106882
"National Council of La Raza"	0.106534
"Warburg Dillon Read"	0.105695
"Pew Research Center"	0.105188
"Human Rights Watch"	0.104221
"Congressional Research Service"	0.104105
"Goldman Sachs &AMP; Co."	0.103637
"Yankee Group"	0.103186
"Public Citizen"	0.100551
"American Petroleum Institute"	0.0982157
"Credit Suisse First Boston"	0.0979195
"Jupiter Communications"	0.0962802
"Paine Webber"	0.0951965
"Cuban American National Foundation"	0.0944698
"Federal Reserve Bank of New York"	0.0942037
"American Association of Retired Persons"	0.0937518
"Merrill Lynch &AMP; Co."	0.0915704
PaineWebber	0.0896866
"Forrester Research"	0.0886777
"Goldman, Sachs &AMP; Co."	0.0886543
Banc	0.0884265
"George Washington University"	0.0883586
"Transparency International"	0.0879849
"Association for Relations Across"	0.0876921
"Edward Jones"	0.0870395
"International Rescue Committee"	0.0852311
"Air Transport Association"	0.0848258
AARP	0.0832481
"Handgun Control Inc."	0.0830758
"National Abortion and Reproductive Rights Action League"	0.0830282
"American Psychological Association"	0.0828333
"Lehman Brothers"	0.0820514
"Anti-Defamation League"	0.0815587
"Hambrecht &AMP; Quist"	0.081125
"Judicial Watch"	0.079739
"Salomon Smith Barney"	0.0794119
AFL-CIO	0.0788025
"League of Conservation Voters"	0.0785266
"Goldman Sachs"	0.0784686
"Kaiser Family Foundation"	0.0775058
"National Federation"	0.0774987
"Peking University"	0.0771497
"National Conference"	0.0770521
"Institute of Medicine"	0.0762474
"Log Cabin Republicans"	0.0754794
"International Data Corp."	0.0751999
"Gomez Advisors"	0.0743046
"Rockefeller University"	0.0733628
"Securities Industry Association"	0.072703
"CBS Sports"	0.0712352
"State Administration of Internal Trade"	0.0709831
"American Bankers Association"	0.070909
"Environmental Defense Fund"	0.0701419
"Center for Science"	0.0700998
"Department of Education"	0.0700339
"Hong Kong Trade Development Council"	0.0697963
"Morgan Stanley Dean Witter"	0.0682207
"Standard Chartered Bank"	0.0680589
"World Church"	0.0678331
"ABN AMRO"	0.0677499
"Business Council"	0.0670881
"Johns Hopkins University"	0.0670692
"World Jewish Congress"	0.0668453
"Federal Reserve Bank"	0.0668431
"National Council of Churches"	0.0663168
Paribas	0.0654163
"Bureau of Labor Statistics"	0.0653568
IDC	0.0651233
"Nahdlatul Ulama"	0.0651083
"Census and Statistics Department"	0.064636
"Central Bureau of Statistics"	0.0645893
"National Alliance"	0.0644208
"Consumer Federation"	0.0643959
"Handgun Control"	0.0642283
"Standard &AMP; Poor"	0.063144
"Nankai University"	0.0630349
"American Academy of Pediatrics"	0.0624242
"Colorado State University"	0.0624091
HSBC	0.0622221
"Deutsche Bank"	0.0619467
"Hong Kong Monetary Authority"	0.0616835
"Oxford University"	0.0616355
"Morgan Stanley"	0.0615891
"Bear Stearns"	0.0615787
"University of New Hampshire"	0.0615563
"Oxford University Press"	0.061471
"Howard University"	0.0611509
"Development Research Center"	0.0610505
"Smithsonian Institution"	0.0610395
"National Institutes of Health"	0.0604102
"Putnam Investments"	0.0603806
"Investors Service"	0.0603342
"Southeastern Legal Foundation"	0.0602632
"Bankers Trust"	0.0599076
PricewaterhouseCoopers	0.0592955
"National Research Council"	0.0592865
"National Electoral Commission of Nigeria"	0.0592146
"Carter Center"	0.0589035
"Kennedy School"	0.0588596
Citibank	0.0587649
"University of Michigan"	0.0585809
"Operation Lifeline Sudan"	0.0580865
"J.P. Morgan"	0.0580033
"Robertson Stephens"	0.0578232
"American Association"	0.057651
"American Civil Liberties Union"	0.0573965
"Electronic Frontier Foundation"	0.0569152
"National Academy of Sciences"	0.0568753
"Republican Leadership Council"	0.0568269
"China Society"	0.0567766
"T. Rowe Price"	0.0565064
"Christian Coalition"	0.0558912
"Morningstar Inc."	0.0558061
"Fudan University"	0.0558046
"National Marine Fisheries Service"	0.0555699
"Bank of America"	0.0554522
"Rainbow/PUSH Coalition"	0.0553795
"Georgetown University"	0.0552459
Corp.	0.055205
Oxfam	0.0546201
"London School of Economics"	0.0543419
"Japanese Embassy"	0.0543236
"Hunter College"	0.0533191
"National Education Association"	0.0531302
"National Transportation Safety Board"	0.0530529
"Wine Institute"	0.0529888
"National Geographic Society"	0.0528243
"Sierra Club"	0.0526887
"All-China Journalists Association"	0.052652
GOPAC	0.0523982
"International Finance Corporation"	0.0523
"Department of Labor"	0.0522807
"National Security Council"	0.0520189
UMKC	0.0517256
"J.P. Morgan &AMP; Co."	0.0517057
"American Association of Health Plans"	0.0510254
"Chinese Academy of Sciences"	0.0507831
"North Carolina State University"	0.0502073
"teachers college"	0.0500566
"Ministry of Internal Trade"	0.0500355
"Israeli Embassy"	0.049959
"Department of Agriculture"	0.0499365
"Common Cause"	0.0499175
"Harvard Law School"	0.0498045
"National Association of Securities Dealers"	0.0496035
"First Union Corp."	0.0494902
"Royal Bank of Scotland"	0.0493832
CASS	0.0493564
"China National Tourism Administration"	0.0491642
"John F. Kennedy School of Government"	0.0488182
UCSF	0.0485969
"Smith College"	0.0485859
"Ohio State University"	0.0485568
"Kaiser Permanente"	0.0484741
"Dresdner Bank"	0.0484436
"National Audubon Society"	0.0483883
"Promise Keepers"	0.0483625
"American Jewish Committee"	0.0483496
OECD	0.048295
"Der Spiegel"	0.0481235
"Commission on Presidential Debates"	0.0479788
"Hong Kong Tourist Association"	0.0479472
"Cambridge University"	0.047901
))
(Catskill (desc 1468.9) (sims
Bridgehampton	0.124744
Adirondack	0.119872
Appalachian	0.113617
oceanside	0.107303
lakeside	0.0989545
MINEOLA	0.0985731
"North Georgia"	0.0985414
"French Alps"	0.0970844
Amazonian	0.0967904
Carmel	0.0923825
Tarrytown	0.0846659
"East Texas"	0.084245
Latham	0.0822818
non-Indian	0.0819066
Catskills	0.0804983
Plattsburgh	0.0804772
"Rocky Mountain"	0.0795947
"Blue Ridge"	0.0779207
Hempstead	0.0778285
"Sierra Nevada"	0.0766947
Irvington	0.0765419
beachside	0.0749593
"North Shore"	0.0734372
"Dutchess County"	0.071022
Stowe	0.0708099
"Orthodox Jewish"	0.0700984
Huangshan	0.0694974
"Westchester County"	0.0692635
Chappaqua	0.0673822
Drenica	0.0672712
"Rockland County"	0.0670295
Chesapeake	0.0648752
"Three hundred"	0.0647735
Pyrenees	0.0643947
steelhead	0.0638598
"Garden City"	0.0635476
"San Bernardino"	0.0635277
Elmira	0.0634641
"Fayette County"	0.0620808
"Great Neck"	0.0617971
Chattahoochee	0.0617285
"Forest Hills"	0.0616423
Brewster	0.0614093
"New Rochelle"	0.0610089
Peekskill	0.0603427
Brentwood	0.059792
Krishna	0.0597738
"East Hampton"	0.0597288
Cornwall	0.0588751
Palawan	0.0571929
Uniondale	0.057054
sierra	0.0568516
Scarsdale	0.0565632
"Deer Valley"	0.0565462
Bronx	0.0565027
Westchester	0.056502
Woburn	0.0564796
Montauk	0.0561409
Kagera	0.0561376
Shawnee	0.0557784
Jericho	0.0556293
"Hudson Valley"	0.0550652
Skaneateles	0.0548738
Oneida	0.0548475
Sinai	0.0546167
Marjayoun	0.0539566
Umbria	0.053583
Windham	0.0534615
"Van Nuys"	0.0531884
Condor	0.0531822
Alsace	0.0531635
Poughkeepsie	0.0529708
"Baltic Sea"	0.0525568
"Chesapeake Bay"	0.052505
"Mill Valley"	0.0523976
"picture postcard"	0.0523961
Savannah	0.0523364
Ozarks	0.052237
Ithaca	0.0522181
"Big Sur"	0.0520128
"Far Eastern"	0.0518786
"Mississippi Delta"	0.0517006
"Saratoga Springs"	0.0516221
beachfront	0.0515051
"Fairfield County"	0.0514664
Pelham	0.0513679
"Pitt County"	0.0512698
Monticello	0.0509954
Yorkshire	0.0509874
"Silver Star"	0.0509692
oceanfront	0.0506034
Zonolite	0.0505756
"Dead Sea"	0.050253
Riverhead	0.0502381
Hattiesburg	0.0502133
Tuscany	0.0500352
"Hill Country"	0.0500328
"old growth"	0.0499785
"Long Island City"	0.0497307
Waterloo	0.0495803
Reseda	0.0493714
"Nassau County"	0.049353
Decani	0.0491017
Chatham	0.0490417
Whistler	0.0490286
Decatur	0.048743
Alaskan	0.048694
una	0.0486257
Cumberland	0.0485962
"Central Asian"	0.0484545
Attica	0.0483134
southland	0.0478361
"Treasure Island"	0.0475778
forgotten	0.0474743
"Rio Grande Valley"	0.0473048
Metroplex	0.046856
Labrador	0.0467954
"Century City"	0.0467493
Kilimanjaro	0.0466228
Berber	0.0465508
"Lake Tahoe"	0.0464327
"Hollywood Hills"	0.0463814
"Western Pacific"	0.04609
riverside	0.0460287
Berkshire	0.0458412
Mekong	0.0457503
Piedmont	0.0455336
Mid-Atlantic	0.045319
Pomona	0.0451502
Acadian	0.0450339
"Florida Panhandle"	0.045033
"El Segundo"	0.0447816
world-famous	0.0447475
"Connecticut River"	0.0446933
Schenectady	0.0445853
Provence	0.044419
"back country"	0.0444159
Brookhaven	0.0442119
Malden	0.0441804
"Mission Viejo"	0.0441614
kitschy	0.0440731
Ashland	0.0435886
Maasai	0.0435373
Tahoe	0.043528
Montclair	0.0432845
"Sonoma County"	0.0432771
"Nile Delta"	0.0431613
Hawthorne	0.0431424
Sipadan	0.0430493
"Sleepy Hollow"	0.0429594
Riverdale	0.0428318
SKA	0.042743
Jamestown	0.0426507
"Boca Raton"	0.0425652
"Pacific Palisades"	0.0425518
"Baja California"	0.0424607
"Mandalay Bay"	0.0423303
"Red Hook"	0.0422372
"Studio City"	0.042059
"Granada Hills"	0.0420537
Tigray	0.041936
Caprivi	0.041845
"Mississippi River"	0.0415664
"Niger Delta"	0.0414806
Aladdin	0.0413419
Mohawk	0.0412039
regency	0.0411798
"Central Texas"	0.0410423
"ponderosa pine"	0.0409211
"American Jewish"	0.0409077
Warri	0.0408653
"Columbia River"	0.0408391
"LA COSTA"	0.0407635
Braintree	0.0406749
Afro-Cuban	0.0406273
Baltic	0.0404506
"Sun City"	0.0402171
"Pacific Coast"	0.0401979
"Lower Manhattan"	0.0401238
Watertown	0.0400489
"Asia Pacific"	0.0400437
))
(Catskills (desc 5939.72) (sims
Catskill	0.0804983
lakeside	0.0799687
Adirondacks	0.0753558
"Atlantic City"	0.0749791
Killington	0.072162
Berkshires	0.0678247
"Las Vegas"	0.0674955
"French Alps"	0.0672602
beachside	0.0661729
Drenica	0.061301
"Port St. Lucie"	0.05987
Vega	0.0596518
"Hudson Valley"	0.0581402
sierra	0.0578635
Maine	0.0573112
"White Mountains"	0.0566222
Bahamas	0.0564068
oceanfront	0.056396
Sinai	0.0556547
Jericho	0.0554798
lakefront	0.0548598
"Baton Rouge"	0.0543217
Vermont	0.0537376
"West Palm Beach"	0.0530308
Westchester	0.0520505
foothill	0.0519272
"Antelope Valley"	0.0518242
"San Joaquin Valley"	0.0513054
Vail	0.0511346
"Sierra Nevada"	0.0507887
"Miami Beach"	0.0504961
"Mandalay Bay"	0.0503847
"San Diego County"	0.050158
Buckhead	0.0501014
"Lake Tahoe"	0.0500363
"West Virginia"	0.0499456
"Santa Fe"	0.0496075
"Palm Beach"	0.0495012
"Palm Beach County"	0.0492233
Piedmont	0.0491601
"Westchester County"	0.048699
"Florida Panhandle"	0.0486802
Soho	0.0484376
Louisiana	0.0483956
Hamptons	0.048182
Midtown	0.0479204
Alps	0.0477608
Laughlin	0.0477065
"Saratoga Springs"	0.047513
"Ventura County"	0.04734
"San Fernando Valley"	0.0471607
"Canary Islands"	0.0465714
Whistler	0.0464201
"Palm Springs"	0.0462611
"Park City"	0.0458768
riverside	0.0458481
oceanside	0.0458082
Monticello	0.0456885
highland	0.0454395
"Santa Clarita"	0.0451724
Starwood	0.0450623
"Times Square"	0.0450005
"North Georgia"	0.0447553
Wyoming	0.0447545
foothills	0.0445452
Cornish	0.044413
"southern hemisphere"	0.044412
CANCUN	0.0444028
Phoenician	0.0443532
Biloxi	0.0442071
Bellagio	0.0440161
Rhodesia	0.0439034
"Century City"	0.0438969
"Hill Country"	0.0437758
"Rocky Mountains"	0.0436402
Appalachia	0.0435823
Pattaya	0.0435205
"French Quarter"	0.0434892
Chengde	0.0432847
"Death Valley"	0.0431762
beachfront	0.0430033
"Montego Bay"	0.0429631
Nevada	0.0428789
"Golden Triangle"	0.0425719
"Cape Cod"	0.0425523
"New Mexico"	0.0424868
"Mount Hermon"	0.0424379
"Fort Myers"	0.0424001
Bund	0.0422522
improv	0.0422095
"British Columbia"	0.0421935
RV	0.0417813
Tachilek	0.0417712
Savannah	0.0416975
"Niger Delta"	0.0416043
"Central Valley"	0.0415831
"Southern California"	0.0413641
"Silicon Alley"	0.0413496
Ontario	0.0413331
"Santa Monica"	0.0411304
"Dead Sea"	0.0410724
Alpharetta	0.0410172
Badme	0.0410164
kibbutz	0.0409712
Monterey	0.0409592
"hot spring"	0.0409353
Chamonix	0.0409079
"professional golf"	0.0408832
Ensenada	0.0407295
"Pearl River Delta"	0.040668
"New Frontier"	0.0406652
ASHEVILLE	0.0406445
"Lincoln Center Festival"	0.0404973
"Niagara Falls"	0.0404439
Yorkshire	0.0404414
"Treasure Island"	0.0404385
Crimea	0.0400305
))
(cattle (desc 47719.3) (sims
Livestock	0.307908
sheep	0.240819
hog	0.234116
cow	0.23262
pig	0.195168
goat	0.185951
poultry	0.16916
animal	0.163303
"pork belly"	0.148164
"beef cattle"	0.139334
wheat	0.135178
deer	0.134293
beef	0.132027
soybean	0.128638
oxen	0.123902
swine	0.123473
"domestic animal"	0.120574
chicken	0.118886
herd	0.117415
bison	0.116865
yak	0.116224
corn	0.113553
elephant	0.112859
horse	0.110118
"farm animal"	0.109203
fish	0.106963
grain	0.10658
"milk cow"	0.102139
bird	0.101685
elk	0.10035
crop	0.0990866
cotton	0.0956241
mice	0.0950646
lamb	0.094325
llama	0.0936486
meat	0.0934445
geese	0.0933825
dog	0.0903983
dairy	0.08916
camel	0.0889859
monkey	0.088735
calf	0.0882866
ostrich	0.0877981
"heating oil"	0.0873349
pork	0.0870274
maize	0.0844731
CAT	0.0842279
vegetable	0.0834282
timber	0.0832711
antelope	0.0831927
fruit	0.0829654
cocoa	0.0827817
rice	0.0818651
human	0.0816287
donkey	0.0815766
rat	0.0808643
rabbit	0.0796969
"giant panda"	0.0792211
Buffaloes	0.0778083
"dairy product"	0.0766207
gasoline	0.0759883
pet	0.0748416
pigeon	0.0745188
mosquito	0.0742883
farm	0.0742566
specie	0.0741147
alpaca	0.0741123
goods	0.0736163
"sugar cane"	0.073444
egg	0.0726301
turtle	0.072337
food	0.0721273
wildlife	0.0719492
foodstuff	0.0714897
coffee	0.0713182
sugar	0.0712762
shrimp	0.0710791
tobacco	0.0706727
palladium	0.0705372
hay	0.0698097
commodity	0.0695605
infant	0.0694608
"food product"	0.0690383
tree	0.0689604
mammal	0.0688822
seafood	0.0687692
plant	0.0687398
boar	0.0687132
"wild horse"	0.068556
"crude oil"	0.0680098
duck	0.0679868
"motor vehicle"	0.0678934
fertilizer	0.0678344
banana	0.06774
reindeer	0.0675173
farmer	0.0672996
child	0.0669866
product	0.0663137
sorghum	0.0657123
mutton	0.0654589
milk	0.0652768
rodent	0.0651264
oat	0.0650322
panda	0.0645478
farming	0.0642262
automobile	0.0637561
chimpanzee	0.0635383
gazelle	0.0635222
oil	0.063365
seedling	0.0632065
fowl	0.0630948
mule	0.0629401
salmon	0.062733
lumber	0.0625023
moose	0.0624206
barley	0.0624138
whale	0.0622321
snake	0.0617045
prawn	0.0616967
"natural gas"	0.0616171
patient	0.0612317
tractor	0.0611779
crude	0.0611738
"futures price"	0.0610942
tourist	0.0607779
"passenger car"	0.0607139
firearm	0.0600221
tea	0.0597949
Embryo	0.0596698
Copper	0.0595372
sugarcane	0.0593286
rhino	0.0590237
refugee	0.058964
vehicle	0.0589412
wine	0.0589283
insect	0.0587222
"precious metal"	0.0586811
baby	0.0586219
ox	0.0584135
civilian	0.0582175
rooster	0.0579197
seed	0.057878
adult	0.0578468
villager	0.0578452
"raw material"	0.057573
wool	0.0573184
flower	0.0573026
pasture	0.0569871
fuel	0.0566436
"citrus fruit"	0.0565248
shellfish	0.0563926
hen	0.056356
car	0.0562077
Coal	0.0559345
flock	0.0559038
textile	0.0559024
auto	0.0556282
newborns	0.0555075
diamond	0.0553972
immigrant	0.0553811
"consumer goods"	0.05533
equipment	0.0552269
bean	0.0547748
rhinoceros	0.0547489
shipment	0.0547223
truck	0.0547072
newsprint	0.0546179
"iron ore"	0.0544792
peanut	0.0543946
"palm oil"	0.0543552
wolf	0.0543161
sapling	0.0541705
population	0.0539811
planting	0.0538424
"human being"	0.0537743
breeding	0.0536655
plantation	0.0536029
chemical	0.0532858
potato	0.0532179
by-product	0.0529559
grape	0.0528397
zebra	0.0528392
tiger	0.0528206
grazing	0.0527539
material	0.0525855
artifact	0.0525595
"spare part"	0.0525456
cigarette	0.0524641
mineral	0.0524175
garment	0.052404
household	0.052383
carcass	0.052372
"cooking oil"	0.052309
laborer	0.0521851
machinery	0.0521779
miner	0.0521544
Garbage	0.0521477
orchard	0.0520342
item	0.0519087
medicine	0.0518292
))
("cattle ranch" (desc 3046.79) (sims
"dairy farm"	0.170807
kibbutz	0.144299
ranch	0.136099
orchard	0.0954834
plantation	0.0900025
"indian reservation"	0.0897247
hacienda	0.0889731
dacha	0.0876679
"parcel of land"	0.0843718
Vineyard	0.0791059
winery	0.0748215
meadow	0.0744154
"summer house"	0.0737952
distillery	0.07307
"gas plant"	0.0706198
hypermarket	0.0694078
"piece of land"	0.0687491
delicatessen	0.0680523
brewery	0.0680363
dairy	0.0677432
campground	0.0671053
distributorship	0.0667548
woodland	0.0665107
campsite	0.0660663
"beach house"	0.0655928
pasture	0.0646634
trestle	0.0630461
"conference center"	0.0625432
"collective farm"	0.0617075
junkyard	0.0614182
"traffic circle"	0.0601368
Grove	0.0595703
"army base"	0.0595117
"brush fire"	0.05949
farmhouse	0.0593864
"trading post"	0.0586355
"target area"	0.0579489
"beef cattle"	0.057478
"country house"	0.0572135
"tropical rain forest"	0.0572002
cannery	0.0571711
rancher	0.0567169
spas	0.0565927
homestead	0.0564628
"work camp"	0.0554657
"butcher shop"	0.0551286
"jewelry store"	0.054943
"gambling casino"	0.0546448
hatchery	0.054397
nunnery	0.0540836
"grazing land"	0.0540039
Palazzo	0.05387
orphanage	0.0537768
"Gomez Advisors"	0.0537349
"coffee bar"	0.0537172
"liquor store"	0.0535332
smelters	0.0535276
"law practice"	0.0534917
mountaintops	0.0530895
bog	0.0526255
sanatorium	0.0526176
"chicken coop"	0.052538
"industrial park"	0.052308
smelter	0.0521021
tract	0.0520671
"savings bank"	0.0518469
"art collection"	0.0516399
"steel mill"	0.0516111
"packing plant"	0.05161
"oil business"	0.0515982
taxiway	0.0515376
hilltop	0.0513682
"parking area"	0.0508769
"pedestrian bridge"	0.0508057
"navy base"	0.0507951
bed-and-breakfast	0.0504334
"resort hotel"	0.0502689
"private property"	0.0502661
"railroad station"	0.0502438
"vegetable garden"	0.0501535
"vacant lot"	0.0499148
"Memorial Stadium"	0.0499097
"general store"	0.0498778
"repair shop"	0.0498219
"fishing license"	0.049682
"shoe store"	0.0495488
"movie studio"	0.0494901
"steam locomotive"	0.0493546
"manufacturing business"	0.0493219
Marsh	0.0492845
"jigsaw puzzle"	0.0492657
Patrimony	0.0491319
chalet	0.0490516
Supercenters	0.0490373
Bathhouse	0.0488278
"minority stake"	0.0487886
"Rainbow Room"	0.0487804
"Lower East Side"	0.0487745
redoubt	0.0486193
"ski lift"	0.0484431
"family business"	0.0484087
landfill	0.0482189
campsites	0.0482056
"vacation home"	0.0481663
"music school"	0.0480909
"machine shop"	0.0477053
"more than @@@,@@@ acres"	0.0476857
marshland	0.0476721
"pumping station"	0.0475436
"petrol station"	0.0473779
"subsidiary company"	0.0472956
"paddy field"	0.0471803
"nest egg"	0.0470144
waterfall	0.0467947
shipyard	0.0466534
claimer	0.0466508
quarry	0.0464919
"paper cup"	0.0464829
"silver dollar"	0.046381
"navy yard"	0.0462088
gazebo	0.0461725
"Holiday Inn"	0.046014
"Print Shop"	0.045999
"internment camp"	0.0459877
shantytown	0.0458832
expanse	0.0458646
Learjet	0.0458466
"amusement park"	0.0458181
"Medicare HMO"	0.0457595
"hardware store"	0.04571
"Cape Cod"	0.0455891
Convent	0.0455589
cellmate	0.045525
bed-and-breakfasts	0.0455237
"Manuel Noriega"	0.0454863
"carriage house"	0.0454381
Chateau	0.0453883
"funeral home"	0.045366
townhouse	0.0453646
"housing development"	0.0452841
"Kuril Islands"	0.0450758
"beauty salon"	0.0448778
"food company"	0.0448526
"paper mill"	0.0447556
"flour mill"	0.0447033
sanitarium	0.0444543
sawmill	0.0444034
"red deer"	0.0443218
"ranch house"	0.0441365
motel	0.0441002
abattoir	0.0439933
"white elephant"	0.0438663
drugstore	0.0437459
hideaway	0.0437428
"oil rig"	0.0436909
timberland	0.0436408
"radio telescope"	0.0435139
"mobile home"	0.043208
"sphere of influence"	0.0431529
"water buffalo"	0.0430521
"more than @@,@@@ acres"	0.0430154
"clothing store"	0.0429537
"Columbia River"	0.0429278
encampment	0.0428241
"Grand Hotel"	0.0427838
tavern	0.0427713
bakery	0.0427213
graveyard	0.0427126
cropland	0.0426804
"Dulles International Airport"	0.0426663
"day care center"	0.0426203
lawnmower	0.0425814
"gas well"	0.0423847
beekeeper	0.0423656
grassland	0.0421402
"domed stadium"	0.0421237
"camp site"	0.042087
"firing range"	0.0420612
"recording studio"	0.0420553
condominium	0.0420339
"trailer park"	0.0420306
"trucking company"	0.0420295
wetlands	0.0420225
snowpack	0.0420118
"minority interest"	0.0419459
manor	0.0419419
"textile mill"	0.0418538
dealership	0.041832
"stone wall"	0.0417701
"particle accelerator"	0.0415081
"stock company"	0.0414742
"truck stop"	0.0414473
waterworks	0.0414241
sailboat	0.0414145
atoll	0.0413959
"retail operation"	0.0413533
"garbage dump"	0.0413491
alpaca	0.041276
"phone booth"	0.0412383
"copper mine"	0.0411695
))
(cattlemen (desc 1836.64) (sims
rancher	0.120696
Eappens	0.104958
homebuilder	0.098938
herder	0.097413
"David Irving"	0.0938854
"plantation owner"	0.0909295
"property owner"	0.0908954
forester	0.0900184
Harris-Lewis	0.087533
logger	0.0866389
Shandling	0.0864384
landowner	0.086086
RIAA	0.082655
ACLU	0.0821849
Pagones	0.0816149
lobstermen	0.0809342
EEOC	0.0771256
drillers	0.0762407
"small farmer"	0.0737089
oilmen	0.071816
"Paula Corbin Jones"	0.0717789
conservationist	0.0713036
Jewell	0.0703911
Intergraph	0.0700965
"Recording Industry Association of America"	0.07003
Cayugas	0.0700276
Spector	0.0693682
"Dan Morales"	0.0693441
steelmaker	0.0662281
beekeeper	0.0660187
CellPro	0.0656577
preservationists	0.0655725
vintner	0.0647771
"Food Lion"	0.0643485
Montiel	0.0635441
Moceanu	0.0632328
"labor union"	0.0611547
spammers	0.0604185
"professional golfer"	0.0602931
"Cable &AMP; Wireless"	0.0601245
steelworker	0.0593484
Katzenberg	0.0590884
storekeeper	0.0589404
shipper	0.058889
whistle-blower	0.0583201
Milstein	0.0583183
Lindland	0.0583114
herdsmen	0.0581594
Kony	0.0581237
"planning board"	0.0580342
grocer	0.0576298
"John Cornyn"	0.0574946
herdsman	0.0573283
Shaffer	0.0571959
"John Connally"	0.0569736
"Audubon Society"	0.0568236
Chris-Craft	0.0564773
DOJ	0.0558803
"Southeastern Legal Foundation"	0.0553517
Pepsico	0.0552113
Gunmakers	0.0551904
"Paula Jones"	0.0549407
farmworkers	0.0548102
shopkeeper	0.0547456
"Clint Reilly"	0.054639
Gutman	0.0541363
breeder	0.0538673
Spitzer	0.0537643
fourth-graders	0.0536609
craftsmen	0.0536548
UAM	0.0536033
Allstate	0.0533097
"Pete Holland"	0.0529313
drugmakers	0.0528781
"Public Citizen"	0.0527615
Duchovny	0.052553
Golisano	0.0525195
McGill	0.0524831
"garment worker"	0.0522971
sharecropper	0.052241
patrolmen	0.0522352
NAACP	0.0520727
tannery	0.0518246
"drug maker"	0.0516728
ornithologist	0.0515487
"flour mill"	0.0515099
"union worker"	0.0514466
singer-songwriters	0.0513268
"factory worker"	0.0513243
urbanites	0.0512727
"judicial branch"	0.051155
Huffington	0.0506894
"American Civil Liberties Union"	0.0506812
holidaymaker	0.0506275
"school superintendent"	0.0504979
"New York Civil Liberties Union"	0.0501076
Samara	0.0500896
homemaker	0.0498622
"legislative branch"	0.0496297
Navajos	0.04953
"Major Applewhite"	0.0493249
philanthropist	0.0493056
AlliedSignal	0.0492375
carmakers	0.0491791
"Lawton Chiles"	0.0488776
Klan	0.0486993
DiCarlo	0.0484036
ARI	0.0482188
agronomist	0.0481483
Counsell	0.048142
Kozeny	0.0479215
petitioner	0.047824
"Internet Service Providers"	0.0478109
"auto maker"	0.0474286
Drabinsky	0.0474073
UAW	0.0473416
Snyder	0.0473355
Blackthorne	0.0472775
"electric company"	0.04697
Shinn	0.0469054
heiress	0.0467329
Einhorn	0.0467249
"AIDS activist"	0.0467143
"Russell Peeler"	0.0466784
"Department of State"	0.0466689
"Department of Agriculture"	0.0465843
"newspaper editor"	0.0465494
outfitter	0.0462768
Oneidas	0.046252
Bove	0.0462101
Hage	0.0461618
Jett	0.0461246
"Department of Public Health"	0.0460998
"Sierra Club"	0.0456488
"labor leader"	0.0455846
"New York Republicans"	0.045508
"North Africans"	0.0453781
"Kevin Keegan"	0.0453176
restaurateur	0.0450265
Boehner	0.0449769
"Gabe Muoneke"	0.0449275
"welfare worker"	0.0448324
two-step	0.0447823
"Federal Trade Commission"	0.0447351
leeson	0.0447119
"Branch Davidians"	0.0447035
"trade unionist"	0.0446408
"Raytheon Co."	0.0446197
"Cuban Americans"	0.0445527
"Con Ed"	0.0445091
"Congressional Republicans"	0.0442078
Davidians	0.0441859
"collective farm"	0.0441767
"junior college"	0.0441043
leu	0.0440746
artisan	0.0440466
Seligman	0.043686
Postmaster	0.0435695
oilman	0.0434932
"insurance agent"	0.0434156
Callaway	0.0433877
AutoNation	0.0433804
"Secretary of Commerce"	0.0431914
cowgirl	0.0431809
squatter	0.0431311
Gorter	0.0430046
Ingraham	0.0429199
Tseng	0.0428779
Maddox	0.0428379
"game of chance"	0.0428309
"Serbian Orthodox Church"	0.0428155
"car dealer"	0.0427666
Grosjean	0.0427255
"Department of Transportation"	0.0427191
raiser	0.0427023
"National Collegiate Athletic Association"	0.0427022
fire-fighter	0.0426768
Sheppard	0.0426566
"child welfare agency"	0.0425681
ranching	0.0425589
shipbuilder	0.0424566
Sumitomo	0.0423921
Livoti	0.0423707
Lowry	0.0423325
PTA	0.0423245
Edelstein	0.0423052
"home builder"	0.0421715
Hofer	0.0420194
"elevator operator"	0.0419255
"Southern Poverty Law Center"	0.0417637
Santoro	0.0417565
lawmen	0.0417487
"talent agent"	0.0417475
"farm worker"	0.0416616
franchisees	0.0416521
Gaines	0.0416467
esprit	0.041573
semitrailer	0.0415456
landscapers	0.0414717
"Marge Schott"	0.0414299
))
(catwalk (desc 5379.9) (sims
walkway	0.0837966
truss	0.0759371
culvert	0.0726147
runway	0.0689222
Stairway	0.0661649
footbridge	0.0634325
passageway	0.0625176
girder	0.0615702
causeway	0.0578929
stair	0.0572129
staircase	0.054838
ledge	0.0545286
stanchion	0.0525902
"red carpet"	0.0525076
boardwalk	0.051612
"haute couture"	0.0510505
tabletop	0.050746
roadway	0.0497241
viaduct	0.0487398
jetty	0.0470858
bulkhead	0.0469406
"Fashion Week"	0.046189
tightrope	0.0458222
ramp	0.0453742
"dance floor"	0.0451073
octave	0.0450566
"video screen"	0.0444035
"Today Show"	0.0444007
"pirate ship"	0.0438729
menswear	0.0438248
COUTURE	0.0437581
Champs-Elysees	0.0434444
"water tank"	0.0432152
paneling	0.043201
concourse	0.0431082
pedestal	0.0430228
trellis	0.0428325
dais	0.0428182
trestle	0.0423503
pergola	0.0422873
"Garvaghy Road"	0.0422562
alleyway	0.0421386
balcony	0.0420762
"bunk bed"	0.042041
railing	0.041961
rails	0.0417409
"computer screen"	0.0417268
footpath	0.04172
"car park"	0.0411846
boulevard	0.0411414
scoreboard	0.041044
"Peachtree Street"	0.0409437
Oprah	0.0408213
"power line"	0.0407666
floorboard	0.0407239
"main street"	0.0406599
bleachers	0.0405652
knoll	0.0404554
chaise	0.0402845
rooftop	0.0402503
))
(Caucasian (desc 3457.42) (sims
Asian-Americans	0.131345
Asian-American	0.124419
Anglos	0.121583
Latino	0.116111
"Asian Americans"	0.107289
"American Indian"	0.102772
Hispanic	0.101961
"people of color"	0.0898944
African-American	0.089782
"native American"	0.0882939
"African Americans"	0.0818549
Jewish	0.0814395
"African American"	0.0787523
overweight	0.0726047
Haitian	0.0719714
Mexican-Americans	0.0709964
Italian-Americans	0.0701232
Irishmen	0.0685248
college-educated	0.0665528
Arabian	0.0662445
Ukrainians	0.0651578
Negro	0.0641927
illiterate	0.0638163
"black person"	0.0636977
gook	0.0636391
bitch	0.0633949
Anglo	0.0625618
Malay	0.0618523
worrier	0.0618168
Dominican	0.0605441
"South American"	0.0603181
"important person"	0.0601804
overachiever	0.059507
Eskimo	0.0594007
Koreans	0.0593498
"black woman"	0.0585513
"East European"	0.0582905
"foster child"	0.0579516
"West Indian"	0.0573675
Latin	0.0561501
"Asian American"	0.0561217
Filipino	0.0561182
breadwinner	0.0555341
"married man"	0.0555327
"Latin American"	0.055301
Buddhist	0.0552515
noncitizens	0.0541711
non-whites	0.0538895
"Bengal tiger"	0.0538096
whore	0.0535261
"Hispanic American"	0.0534373
Southerner	0.0531987
Navajos	0.0531283
"Middle Eastern"	0.0529449
alcoholic	0.0528904
suburbanite	0.0528135
"registered nurse"	0.0528122
schizophrenic	0.0526614
"wage earner"	0.0511449
miler	0.051064
nonsmoker	0.0506339
valedictorian	0.0505215
"married woman"	0.0503466
troublemaker	0.0502132
Baptist	0.0501179
Taiwanese	0.0496294
"white man"	0.0496257
"real estate broker"	0.0494879
stewardess	0.049469
"drug user"	0.0492967
"Puerto Rican"	0.0491247
divorcee	0.0490516
sadist	0.0490359
HIV-positive	0.0489991
businesswoman	0.0487204
"white woman"	0.0486329
do-gooder	0.0484362
feminist	0.0480938
housewife	0.047194
diabetic	0.0471667
homemaker	0.0469886
"big leaguer"	0.0469221
beautician	0.0465888
seamstress	0.0464352
hillbilly	0.0463551
westerner	0.0457109
Scandinavian	0.0455887
lesbian	0.0450555
"school teacher"	0.0449308
Floridian	0.0448704
"working man"	0.0448219
"Siamese twin"	0.0446917
Mormon	0.0446573
Nepalese	0.0445346
serviceman	0.0443579
"Orthodox Jews"	0.0442541
"mentally retarded"	0.0442473
Gypsy	0.0441272
grown-up	0.0440586
"elevator operator"	0.0439756
lactose	0.0439723
cows	0.0435892
Tibetans	0.0435063
typist	0.0434072
"good person"	0.0433496
nigger	0.0433291
test-takers	0.0430275
potty	0.0428501
Hindu	0.042837
"center of attention"	0.0427895
perfectionist	0.0427042
Cuban-Americans	0.0426976
Englishman	0.0425813
Quebecers	0.0425262
learner	0.0425256
"juvenile delinquent"	0.0425099
"heroin addict"	0.0424475
drinker	0.0424322
Maori	0.0422601
Californian	0.0422467
outcast	0.042206
pup	0.0421933
"motor oil"	0.0421578
bellhop	0.0420771
singer-songwriters	0.0420251
"Serbian Orthodox Church"	0.0419836
Uighurs	0.0418759
Tibetan	0.0417169
"Orthodox Jew"	0.0416928
bodybuilder	0.0416034
Olympian	0.0415887
fella	0.0415774
"blind man"	0.0414285
matron	0.0414114
interloper	0.0413883
churchgoer	0.0412597
"drug addict"	0.0411391
"raw talent"	0.0409332
"guardian angel"	0.0408547
dropout	0.0408349
Scrooge	0.0407697
dude	0.0407375
"giving birth"	0.0407147
"Defense Fund"	0.0406113
non-Muslims	0.0405164
panda	0.0405074
supermodel	0.0404676
whiner	0.0404349
"union worker"	0.040406
atheist	0.0403461
grader	0.0403262
"South American nation"	0.040156
))
(Caucasus (desc 9355.99) (sims
"Central Asia"	0.190926
"North Caucasus"	0.187446
"Persian Gulf"	0.170184
Balkans	0.146598
"Middle East"	0.133967
"South Asia"	0.130501
Daghestan	0.123795
"West Asia"	0.122318
"Caspian Sea"	0.11957
"Far East"	0.118562
Mideast	0.117109
Dagestan	0.116858
"East Asia"	0.112902
"Eastern Europe"	0.108472
Mediterranean	0.106376
"Central Africa"	0.10531
Balkan	0.104487
Chechnya	0.104347
"Southeast Asia"	0.102725
"Near East"	0.102552
Nagorno-Karabakh	0.10212
Gulf	0.101944
Siberia	0.09975
Asia-Pacific	0.0994
subcontinent	0.0993219
"West Africa"	0.0991024
"Black Sea"	0.0988288
Abkhazia	0.0988111
Africa	0.098203
"North Africa"	0.0977088
Afghanistan	0.0948531
"South America"	0.0927285
Mindanao	0.0924539
"Northeast Asia"	0.0899212
"East Europe"	0.0885969
Republic	0.0883339
Tajikistan	0.08816
Caspian	0.0875749
Ingushetia	0.0871206
"Central Europe"	0.0869711
"Great Lakes Region"	0.0858913
"North Ossetia"	0.0849878
Asia	0.0838201
Kashmir	0.0833822
"Commonwealth of Independent States"	0.0829255
"Asia Pacific"	0.0827584
"Korean Peninsula"	0.0822005
Baltic	0.0821224
Drenica	0.0813888
"Latin America"	0.0808693
"Central Asian"	0.0801775
Pyrenees	0.079653
"Baltic Sea"	0.0790641
"Sierra Leone"	0.0787005
Somalia	0.0782648
Baltics	0.0781392
"Niger Delta"	0.0780948
Tigray	0.0780385
"African nation"	0.0775381
Luzon	0.0771155
"Pacific Rim"	0.0766567
"Indian Ocean"	0.0766525
"Chittagong Hill Tracts"	0.0758511
"Central America"	0.075524
"Asia-Pacific Region"	0.0752946
Kaliningrad	0.0752846
"Sinai Peninsula"	0.0750748
Zaire	0.0749415
Kyrgyzstan	0.0744751
Bosnia	0.0736197
"Balkan nation"	0.0733947
Aceh	0.072754
"Northern Ireland"	0.0720365
Bosnia-Herzegovina	0.072003
Korea	0.0716736
Ci	0.0713058
"Southern Africa"	0.0709589
"East Africa"	0.0706706
Somaliland	0.0704841
Haiti	0.0699017
"East Timor"	0.0696046
Congo	0.0693166
Kazakstan	0.0689163
CHT	0.0688691
"Western Europe"	0.0685096
Lebanon	0.0684341
Chiapas	0.0680715
DRC	0.0677783
"South Pacific"	0.0659038
Kurdistan	0.0656272
Aegean	0.0655728
Albania	0.0653642
sub-region	0.0652268
"Inner Mongolia"	0.065104
Tibet	0.064445
Andes	0.0640873
"North America"	0.0640055
Moldova	0.0638587
pacific	0.0637405
"Mediterranean Sea"	0.0636939
"Democratic Republic of Congo"	0.0636659
"Asian nation"	0.063523
Mitrovica	0.0633657
continent	0.0631299
Burundi	0.0630833
Macedonia	0.0628065
Turkmenistan	0.0628048
Cyprus	0.0625179
Jammu	0.0624985
Eurasia	0.0623676
Cambodia	0.0623342
"African country"	0.0622758
"western hemisphere"	0.0621991
"KwaZulu-Natal Province"	0.0617547
"West Bank"	0.0612793
Colombia	0.0611639
Azerbaijan	0.0610638
"Yangtze River Delta"	0.0608587
Sudan	0.0608455
Scandinavia	0.0607385
Crimea	0.0607382
"Eastern Slavonia"	0.060482
Algeria	0.0602478
Caribbean	0.0597731
Sinai	0.0597083
"Soviet Union"	0.0593969
hemisphere	0.059329
"Democratic Republic of the Congo"	0.0590435
"Russian Federation"	0.058787
"Yugoslav Federation"	0.0587348
"South Atlantic"	0.0584542
Xinjiang	0.0584379
"Arabian Peninsula"	0.0581075
"Kwazulu/Natal Province"	0.058032
Comoros	0.0579077
"South Lebanon"	0.0578665
"oil market"	0.0577362
Grozny	0.0568928
Kazakhstan	0.0568876
Kirghizstan	0.0568442
subregion	0.0566704
"Central Mindanao"	0.0565928
Putumayo	0.0565413
"Balkan country"	0.0564905
Angola	0.0562873
Ukraine	0.0560026
Mogadishu	0.0558002
"Democratic Republic"	0.0556548
"Third World"	0.0556288
Krasnoyarsk	0.0553765
"Sierra Nevada"	0.0552217
Liberia	0.0551126
Decani	0.0548409
Guinea-Bissau	0.0547991
"South East Asia"	0.0546692
Appalachian	0.0545509
Badme	0.054479
"Central African Republic"	0.0544289
"world economy"	0.0541051
Hebron	0.0537358
"Great Lakes"	0.0534311
Alsace	0.0533332
Armenia	0.053264
Himalayas	0.0529817
"Balkan state"	0.0528107
Kargil	0.0527845
peninsula	0.0526893
Ningxia	0.0525969
Yemen	0.0525489
Maluku	0.0524106
Jaffna	0.0524088
"Pearl River Delta"	0.0521956
Khabarovsk	0.0519479
Caprivi	0.0518084
"Asian country"	0.0517403
"Jordan Valley"	0.0517317
Guangxi	0.0515512
Montenegro	0.0514261
Adriatic	0.0513939
Belarus	0.0513792
"Uttar Pradesh"	0.0511991
"Red Sea"	0.0511813
Serbia	0.05111
highland	0.050872
Niger	0.0507735
homeland	0.0507452
Guatemala	0.0505053
Midwest	0.0504361
"Great Plains"	0.0504265
Rwanda	0.0504194
Indochina	0.0504063
Mtwara	0.0503398
Vedeno	0.0501559
Ireland	0.0498411
"Rocky Mountain"	0.0498282
Honduras	0.0497368
Burma	0.0489521
Czechoslovakia	0.0488257
Bakassi	0.0487696
"European country"	0.048725
))
(caucus (desc 46895.2) (sims
primary	0.223014
poll	0.137289
"primary election"	0.135184
election	0.131854
balloting	0.123059
voting	0.118421
"general election"	0.117015
vote	0.114784
contest	0.114709
"open primary"	0.107021
convention	0.106677
referendum	0.10285
Iowa	0.101792
"New Hampshire"	0.0973273
debate	0.0946862
ballot	0.0930097
meeting	0.0925441
race	0.0896329
conference	0.0891754
committee	0.0884951
runoff	0.0875222
"board meeting"	0.0873195
by-election	0.0829604
Congress	0.0829224
session	0.0821016
hearing	0.0793869
fund-raiser	0.0792648
Rally	0.0787073
constituency	0.0781771
event	0.0776031
nomination	0.0774864
gathering	0.0773865
Senate	0.0763097
"committee meeting"	0.0752028
party	0.0748052
Assembly	0.074546
"general assembly"	0.0738333
"governor's race"	0.0735261
summit	0.0731074
forum	0.0730007
"senate race"	0.0726065
"election day"	0.0720006
voter	0.0716736
"Republican Party"	0.0716583
Council	0.0715526
"congressional district"	0.0708519
inauguration	0.0708196
campaign	0.0706618
showdown	0.0703277
"summit meeting"	0.0702627
delegate	0.0702294
Republican	0.0695612
"electoral college"	0.0695012
"South Carolina"	0.0694972
legislature	0.0693284
ceremony	0.0690659
"Democratic Party"	0.0689344
GOP	0.0686634
"council meeting"	0.0686319
"Democratic National Convention"	0.0673334
Coalition	0.0671695
"Reform Party"	0.0669559
"Judiciary Committee"	0.0657758
subcommittee	0.0656799
Knesset	0.0655663
"House of Representatives"	0.0655048
deadline	0.0654692
parliament	0.0652272
"World Cup"	0.064394
"Daytona @@@"	0.0641563
"news conference"	0.0637974
deliberation	0.0637951
trial	0.0636752
tournament	0.063475
gala	0.0631748
majority	0.0631744
auction	0.0626464
democratic	0.0626239
electorate	0.0625801
opener	0.0625731
Derby	0.0624514
speech	0.0623882
"Democratic National Committee"	0.0621243
polling	0.0618487
"All-Star Game"	0.0612363
Olympics	0.0611295
bloc	0.0611174
luncheon	0.0610227
delegation	0.0609331
Democrat	0.060825
round	0.0606006
funeral	0.0605663
campaigning	0.0605481
Delaware	0.0602318
"steering committee"	0.0601512
McCain	0.0598007
leadership	0.0597151
panel	0.0596475
"finance committee"	0.0594483
"conference committee"	0.0593501
lawmaker	0.0592736
wedding	0.0589865
slalom	0.0588424
gore	0.0588251
commission	0.0587676
Michigan	0.0587428
candidate	0.0586782
"Republican National Convention"	0.0585088
PNC	0.0584418
dinner	0.0583538
plenum	0.0580462
"task force"	0.057983
"town meeting"	0.0578789
"Palestine National Council"	0.0576024
by-elections	0.0575102
celebration	0.0572118
competition	0.0571179
"working group"	0.0571066
"polling station"	0.0570507
seminar	0.0567789
"Super Bowl"	0.056743
chamber	0.0567284
concert	0.0563934
conservative	0.0563152
festivity	0.0562247
"Asian Games"	0.0562141
Masters	0.0560472
"U.S. Open"	0.0559112
"Ryder Cup"	0.0558045
"Olympic Games"	0.0557987
"Kentucky Derby"	0.0556891
Bush	0.0556205
"Lok Sabha"	0.0556144
"PGA Championship"	0.0555427
"Boston Marathon"	0.055454
"Republican National Committee"	0.0554503
"Security Council"	0.0554276
negotiation	0.0553775
"rank and file"	0.0553382
lottery	0.0552402
tourney	0.0550772
final	0.0550193
battle	0.0545485
"search committee"	0.0544579
parade	0.0544504
opening	0.0544476
marathon	0.0542433
"polling place"	0.0540219
championship	0.0538633
"British Open"	0.0537716
playoff	0.0537351
"three-day event"	0.0536223
legislator	0.0536053
"state legislature"	0.0533033
"Millennium Summit"	0.0532596
"White House"	0.0531591
"press conference"	0.0530551
banquet	0.0527418
announcement	0.0526865
union	0.0526859
reunion	0.0525758
California	0.0524899
"roll call"	0.0524573
workout	0.0524278
reelection	0.0523775
senator	0.052316
organization	0.052099
Governor	0.052073
draft	0.0520257
reception	0.051727
demonstration	0.051712
precinct	0.0516582
"George W. Bush"	0.0516538
appearance	0.0515312
anniversary	0.0514031
proceeding	0.0513675
bout	0.0513322
"Federation Council"	0.0510316
faction	0.0509954
G-@@	0.0509849
APEC	0.0509382
"National Assembly"	0.0507444
"ethics committee"	0.0507085
endorsement	0.0506913
"Game @"	0.0505852
regatta	0.0505591
discussion	0.0504301
chairmen	0.0504143
arraignment	0.0501296
rehearsal	0.0500255
"Commonwealth Games"	0.0500121
briefing	0.0500088
symposium	0.0498816
audition	0.0497789
"cup final"	0.0496537
"Gold Cup"	0.0496536
Exam	0.0496408
preliminary	0.0494889
festival	0.0494266
"House Judiciary Committee"	0.049342
))
(cauldron (desc 6448.12) (sims
caldron	0.184733
kettle	0.0800969
undercurrent	0.0785707
hotbed	0.0581071
wellspring	0.0575551
menorah	0.0572307
VAT	0.0568733
TINDERBOX	0.053744
"Dutch oven"	0.0494829
ember	0.0470404
"brush fire"	0.0470286
exploiter	0.0470281
firestorm	0.0466745
Crucible	0.0459657
undertow	0.0453025
flicker	0.0452453
"mushroom cloud"	0.0451535
maelstrom	0.0447902
crosscurrent	0.0444335
bonfire	0.0437479
minefield	0.0435682
cesspool	0.0434021
paroxysm	0.0432304
whirlpool	0.042865
outpouring	0.0427845
candelabra	0.0419416
tempest	0.0416964
frisson	0.0413838
lessening	0.04115
ferment	0.0410453
eruption	0.0405824
"frying pan"	0.0402696
saucepan	0.0400564
quagmire	0.0400411
))
(cauliflower (desc 4265.49) (sims
Broccoli	0.256083
"brussels sprout"	0.250591
turnip	0.244455
parsnip	0.242313
cabbage	0.239855
celery	0.229053
rutabaga	0.226776
Kale	0.225399
zucchini	0.22247
carrot	0.214462
"bok choy"	0.212401
cucumber	0.203582
eggplant	0.202904
spinach	0.198995
radish	0.195637
leek	0.195329
potato	0.191726
onion	0.189206
asparagus	0.185969
lettuce	0.185813
okra	0.181401
"bell pepper"	0.179421
squash	0.178068
beet	0.17806
Collard	0.177765
"green bean"	0.171128
tomato	0.169941
chard	0.169317
mushroom	0.169224
florets	0.169147
artichoke	0.168702
pea	0.168612
"green pepper"	0.167929
pancetta	0.161598
"red pepper"	0.158546
Garlic	0.15548
lentil	0.152771
fennel	0.149075
Chickpea	0.148671
"roast beef"	0.148616
"iceberg lettuce"	0.148388
"sweet potato"	0.143585
scallion	0.143218
"Swiss chard"	0.139726
"red onion"	0.138932
"collard greens"	0.138649
"winter squash"	0.137049
bean	0.136776
"white bean"	0.130755
"romaine lettuce"	0.13049
"wild rice"	0.128977
"green onion"	0.124957
parsley	0.12468
tofu	0.124012
noodle	0.123731
pepper	0.123032
"lima bean"	0.120314
Endive	0.116127
cantaloupe	0.116003
plantain	0.115668
ham	0.11558
bacon	0.115359
"root vegetable"	0.115053
melon	0.1148
pumpkin	0.11458
pineapple	0.114331
salami	0.11235
"string bean"	0.110006
macaroni	0.109677
"black olive"	0.109173
sauerkraut	0.109106
shallot	0.107729
prosciutto	0.107667
cheese	0.105739
"hot pepper"	0.104979
corn	0.104638
"water chestnut"	0.103626
"tomato paste"	0.103503
"goat cheese"	0.101855
mayonnaise	0.101348
watermelon	0.101205
"bean sprout"	0.10063
"blue cheese"	0.100626
"Chinese cabbage"	0.100174
"sweet corn"	0.0994248
pasta	0.0991885
jalapeno	0.0987817
frisee	0.0980213
"black bean"	0.0977522
chilies	0.0976
"tomato sauce"	0.0969683
pickle	0.0968162
RHUBARB	0.0965428
"pine nut"	0.0964286
shrimp	0.0962216
pork	0.0961351
avocado	0.0959084
"chicken stock"	0.0954946
Basil	0.0952176
almond	0.0946193
polenta	0.0944167
barley	0.0938592
"peanut oil"	0.0935707
chicken	0.0932709
arugula	0.09312
chorizo	0.0930434
romaine	0.0927835
"potato salad"	0.0925997
broth	0.0925089
"citrus fruit"	0.0916744
mustard	0.0913334
watercress	0.0898425
banana	0.0895116
strawberry	0.0883203
breadcrumb	0.0882508
olive	0.0877584
mango	0.0876409
tomatillo	0.0868272
"white rice"	0.0865794
"chicken broth"	0.0863311
peach	0.0857928
puree	0.0855436
vegetable	0.085186
croutons	0.0850102
sausage	0.0845974
"snow pea"	0.0840574
"sour cream"	0.083986
chiles	0.0839496
pear	0.0837658
mussel	0.0834825
egg	0.0815747
meatloaf	0.081435
"grated cheese"	0.0813667
"cherry tomato"	0.0813345
"peanut butter"	0.0813332
"french fries"	0.0812431
"foie gras"	0.0808059
bread	0.0807942
miso	0.0803097
"orange juice"	0.0803007
"chicken breast"	0.080188
tortellini	0.0799266
Chipotle	0.0798421
sprout	0.0795046
"fava bean"	0.0794327
steak	0.0791813
thyme	0.0791249
dumpling	0.0788755
"olive oil"	0.0785524
ricotta	0.0784676
cilantro	0.0779817
apple	0.0775545
"ground beef"	0.0774517
mozzarella	0.0772054
"hard-boiled egg"	0.0769646
"beef broth"	0.0769407
mesclun	0.0765176
scallop	0.0764046
pimento	0.0761287
anchovy	0.0758262
Parmesan	0.0756248
"cottage cheese"	0.07552
walnut	0.0751414
cider	0.0751381
"coconut milk"	0.0748001
yogurt	0.0743823
herb	0.0735715
"black-eyed pea"	0.0735689
salad	0.0735212
Sorrel	0.0734967
"pot roast"	0.0733858
lemongrass	0.0733696
butter	0.073313
applesauce	0.0731887
raisin	0.0729744
vinegar	0.0729709
Cheddar	0.0729377
"egg yolk"	0.0728545
sauce	0.0726782
"beef tenderloin"	0.0726626
"bay leaf"	0.0726052
"sugar beet"	0.0720643
"corned beef"	0.0720447
salsa	0.0720206
cornbread	0.0718183
"garlic clove"	0.0718147
blueberry	0.0717734
clam	0.0715066
ginger	0.0714019
soup	0.0713166
Chili	0.0711925
mutton	0.0709958
slaw	0.0709839
chive	0.0709002
truffle	0.0708164
"corn chip"	0.0705535
radicchio	0.0700306
coconut	0.0699914
Quince	0.0698902
lemon	0.0697932
))
(cause (desc 149288) (sims
reason	0.150632
problem	0.126041
issue	0.118621
factor	0.117383
risk	0.112124
symptom	0.105221
disease	0.104266
motive	0.101845
consequence	0.0984224
culprit	0.0959599
case	0.0950645
result	0.0950385
effect	0.0949946
incidence	0.0941233
aspect	0.0929457
source	0.0929039
matter	0.0926474
extent	0.0922973
possibility	0.0922012
impact	0.0904782
explanation	0.0895906
development	0.0889024
reform	0.0884321
"risk factor"	0.0882901
movement	0.0881278
sign	0.0876805
subject	0.0876178
ideal	0.0871079
threat	0.0867618
policy	0.0861534
process	0.0857779
solution	0.0852393
severity	0.0846249
treatment	0.0845179
evidence	0.0844245
danger	0.0843785
origin	0.0839956
task	0.0832203
objective	0.0821978
need	0.0821435
victim	0.0818174
condition	0.0813686
"health problem"	0.0812752
diagnosis	0.0812026
history	0.0811443
nature	0.0807036
strategy	0.0805802
agenda	0.0804095
topic	0.0802591
prevention	0.0799083
illness	0.0795527
idea	0.0794652
measure	0.0794258
incident	0.0792697
crime	0.0786623
epidemic	0.0785115
type	0.0784273
form	0.0783364
effort	0.0781479
circumstance	0.0778816
recurrence	0.0774878
concern	0.0774864
activity	0.0773761
situation	0.0768113
responsibility	0.0766277
theory	0.0765079
cancer	0.0764513
principle	0.0761673
common	0.0759283
kind	0.0748222
complication	0.0748163
purpose	0.0745592
thing	0.0745416
democracy	0.0741242
hazard	0.0740444
identity	0.0736803
campaign	0.0736252
violation	0.0736241
outcome	0.0735316
struggle	0.073491
meaning	0.0733557
potential	0.0732699
challenge	0.0731832
occurrence	0.0731374
role	0.073112
education	0.0724208
plan	0.0724074
right	0.0722141
disorder	0.0721933
peace	0.0721486
relationship	0.0720484
concept	0.0718859
change	0.0718299
program	0.0717859
priority	0.0717428
phenomenon	0.0717151
health	0.0715458
project	0.0714784
prospect	0.0713652
endeavor	0.0712613
charity	0.0712353
action	0.0712186
progress	0.0712066
culture	0.0711952
trend	0.0707449
benefit	0.0706384
undertaking	0.0704358
fact	0.0704315
achievement	0.0703421
value	0.0700815
Killer	0.0700459
politics	0.0700307
characteristic	0.0698596
obstacle	0.0698457
event	0.0698218
implication	0.0695615
accident	0.069523
interest	0.0689331
"human right"	0.0688364
status	0.068834
future	0.0687636
goal	0.0686684
indication	0.0686673
religion	0.0686156
number	0.0685154
work	0.0683545
one	0.0682618
worst	0.0680586
life	0.0679292
fate	0.0678731
theme	0.0677396
reunification	0.0676788
element	0.0675525
research	0.067432
candidate	0.0674265
part	0.067223
spread	0.0670751
behavior	0.0669886
ailment	0.0669556
failure	0.0669489
disaster	0.0669102
root	0.0667768
pattern	0.0666546
affair	0.0666484
"side effect"	0.0666426
method	0.0665743
likelihood	0.0664877
question	0.0662676
something	0.0661561
cure	0.0661239
faith	0.0660481
organization	0.0658907
initiative	0.0658771
example	0.0658289
fear	0.0657996
this	0.0657996
that	0.0657126
Death	0.0654605
detail	0.0653633
science	0.0653236
outbreak	0.0651467
tragedy	0.0650453
group	0.0649339
study	0.064791
act	0.0647141
infection	0.0646325
claim	0.0645244
remedy	0.0643707
"heart disease"	0.0643626
it	0.0637412
some	0.0637127
reality	0.0634875
legacy	0.0634853
view	0.0634713
option	0.0632054
timing	0.0630189
position	0.0630092
environment	0.0628623
allegation	0.0628051
plight	0.0627234
casualty	0.0626972
art	0.0626404
Mission	0.0625561
aspiration	0.0624933
people	0.0624362
freedom	0.0624215
motivation	0.0623919
system	0.0622754
aid	0.0621853
proposal	0.0621714
legislation	0.0619039
means	0.0618705
damage	0.061782
improvement	0.0617752
prevalence	0.0617722
procedure	0.0617578
complaint	0.0616105
economy	0.061607
suicide	0.0609482
party	0.060946
))
("cause celebre" (desc 2458.1) (sims
"rallying point"	0.114588
pariah	0.107615
"lightning rod"	0.101119
"fall guy"	0.0970306
"standard operating procedure"	0.0859131
"flash point"	0.075941
"rallying cry"	0.0730604
hackle	0.0719689
laughingstock	0.0708208
"whipping boy"	0.0699956
"takeover target"	0.0699216
"hot potato"	0.0698429
uproar	0.069547
buzzword	0.0694784
toehold	0.0653618
byword	0.0638836
"law of the land"	0.0629298
"hunting ground"	0.0628729
kingmaker	0.062838
"focal point"	0.0627255
"popularity contest"	0.0625786
"guessing game"	0.0619965
"punching bag"	0.0603319
opprobrium	0.0592497
"pain in the neck"	0.0590202
harder	0.0588608
avocation	0.0570859
"white elephant"	0.0565133
protectorate	0.0549128
standard-bearer	0.0548033
"strong force"	0.0545939
"expression of regret"	0.0544874
"security consultant"	0.054198
agitator	0.0534779
ghostwriter	0.0528383
groundswell	0.0527753
dogfight	0.0526094
outcast	0.0525234
rumblings	0.0519333
nonentity	0.0515924
well-respected	0.051564
"center of attention"	0.0512678
battleground	0.0500639
"best seller"	0.0497736
"object lesson"	0.0497316
firestorm	0.0496095
divisiveness	0.0490111
anachronism	0.0489445
Trailblazer	0.048806
albatross	0.0487747
"housing sale"	0.0487085
schism	0.0485982
touchstone	0.0483456
"foot soldier"	0.0481136
"parlor game"	0.0480046
"high-water mark"	0.0478512
consternation	0.0477407
bullfighter	0.0475105
"soul mate"	0.0473344
clearinghouse	0.0471846
"foregone conclusion"	0.0468506
"breeding ground"	0.0468112
stumping	0.0464835
win-win	0.0464069
conundrum	0.0462086
"growth industry"	0.0461073
"sounding board"	0.0459925
non-issue	0.0457548
backbencher	0.0452309
anomaly	0.0452212
no-no	0.0452118
bestseller	0.0451825
"persona non grata"	0.0451517
"talk of the town"	0.0450833
"double agent"	0.045074
soapbox	0.0449213
synonym	0.0448762
bellwether	0.0448257
"black sheep"	0.0447388
pawn	0.0446523
pugilist	0.044591
grist	0.0442992
rarity	0.0442895
"point of reference"	0.0441738
overconfidence	0.0437119
hysteria	0.0437099
anathema	0.0436457
no-brainer	0.0433518
paraplegic	0.0432906
desperado	0.0431757
uneasiness	0.0429116
"safety valve"	0.042899
free-for-all	0.0428907
"waste of time"	0.0427531
headcount	0.0423153
megastar	0.0423087
"powder keg"	0.042294
furor	0.0421604
achiever	0.0421389
well-regarded	0.0420882
optimist	0.0420475
invalid	0.0418123
"stock company"	0.0417623
"first pitcher"	0.0416819
ferment	0.0416216
"won-lost record"	0.0416045
"success story"	0.0415642
nonevent	0.0414396
"numbers game"	0.0412893
hotbed	0.0411693
"first school"	0.0409285
exploiter	0.0408869
entrepot	0.0408375
notoriety	0.0407888
moneymaker	0.0407679
"proving ground"	0.0406581
troubleshooter	0.0406329
"opera star"	0.0404747
"police lieutenant"	0.0404596
"legal instrument"	0.0403535
"fund-raising drive"	0.04034
"hot issue"	0.0403147
optometrist	0.0400338
))
(causeway (desc 3805.24) (sims
"access road"	0.10735
footbridge	0.106233
roadway	0.104534
"Elephant Pass"	0.0977096
motorway	0.097695
"main road"	0.0954751
freeway	0.0946582
"ring road"	0.0907525
tunnel	0.0858395
"rail line"	0.085774
expressway	0.0856805
walkway	0.0837753
"supply route"	0.0837465
thoroughfare	0.0836552
"pedestrian bridge"	0.08334
Parkway	0.0788155
passageway	0.07843
"mountain pass"	0.0747497
"oil pipeline"	0.0723296
Bosporus	0.0712171
"trunk line"	0.0710158
"army base"	0.0699946
waterway	0.0698383
"Highway @@@"	0.0691692
"suspension bridge"	0.0679086
Canal	0.0676243
"Beijing-Kowloon Railway"	0.0673361
footpath	0.0670366
"Interstate @@"	0.0661281
"Camp Abubakar"	0.0657598
"railway line"	0.0649903
"trade route"	0.0636958
"Highway @@"	0.0629626
"main street"	0.0615904
Taloqan	0.0615783
culvert	0.0614464
boardwalk	0.0614391
"Suez Canal"	0.0603175
"Interstate @@@"	0.0600584
artery	0.0589019
"Brooklyn Bridge"	0.0585882
catwalk	0.0578929
I-@@	0.0578179
blacktop	0.0574846
trestle	0.0573211
Spillway	0.0569611
"Danube River"	0.0562983
harbour	0.0557804
junction	0.0547932
"Florida Straits"	0.0547497
"railway station"	0.0544408
"supply line"	0.0542121
overpass	0.053799
monorail	0.0536233
"railroad track"	0.0529997
byway	0.0529954
turnpike	0.052706
Tram	0.0526463
ramp	0.0525763
"transmission line"	0.0525486
"Demilitarized Zone"	0.0524838
interstate	0.0511994
"Bay Bridge"	0.0511807
interstates	0.0509504
boulevard	0.050775
"fiber optic cable"	0.0501402
intersection	0.0495116
"railroad line"	0.048797
"traffic circle"	0.048728
"Huangpu River"	0.0483364
Stairway	0.0481496
hotspots	0.0478708
"Kuril Islands"	0.0476536
"Middle West"	0.047626
"military position"	0.0475965
"Golden Gate Bridge"	0.0471795
"Interstate @"	0.0469608
Danube	0.0465566
"Route @@"	0.0465063
Bamiyan	0.0463029
Fizer	0.0456441
inlet	0.0454771
"Congo River"	0.0453291
viaduct	0.0452835
strait	0.0450483
"phone line"	0.0443041
"warm front"	0.0439808
"Route @"	0.0439692
"white line"	0.04372
north-south	0.0437151
Irbil	0.0436141
IPC	0.0435355
"Puget Sound"	0.0434881
"Jordan River"	0.0434284
Constantinople	0.0434235
escalator	0.0433915
"demarcation line"	0.0431384
"fire truck"	0.0426435
"telephone line"	0.042537
"Sinai Peninsula"	0.0425163
"oil slick"	0.042496
stanchion	0.0424822
"cable car"	0.0424722
staircase	0.0420928
marshland	0.0420671
"torpedo boat"	0.0420642
Mazar-i-Sharif	0.0420298
"first turn"	0.0419757
"about @ miles"	0.0418404
Kindu	0.0417949
"Syrian Golan Heights"	0.0417863
dike	0.0417118
"power grid"	0.0416165
"Appalachian Trail"	0.0415848
trench	0.0415634
"East River"	0.0414376
"mountain peak"	0.041172
"pirate ship"	0.0408629
"waiting game"	0.0404215
"Grand Canal"	0.0403321
pier	0.0402533
"Pennsylvania Avenue"	0.0400744
crevasse	0.0400357
))
("caustic soda" (desc 1339.96) (sims
"polyvinyl chloride"	0.213565
ethylene	0.186692
urea	0.169785
ammonia	0.164993
"pig iron"	0.143049
ingot	0.141429
"lubricating oil"	0.138486
polyethylene	0.116442
"cashew nut"	0.10789
"palm oil"	0.104811
benzene	0.101457
polypropylene	0.0983273
LNG	0.0975701
"food grain"	0.0972756
"diesel oil"	0.0968991
methanol	0.0965967
"steel plate"	0.0958421
hydrocarbon	0.0942989
chloride	0.0929884
"sea food"	0.0887818
"cane sugar"	0.0879644
PVC	0.0876122
billet	0.0860508
"synthetic fiber"	0.0855411
"liquefied petroleum gas"	0.0852252
starch	0.0812744
"freshwater fish"	0.0808059
phosphate	0.0807379
POTASH	0.0765881
aluminium	0.0754411
"soybean oil"	0.0752928
"iron ore"	0.074541
"fuel oil"	0.0730694
"fish meal"	0.0723716
newsprint	0.0719105
gemstone	0.0716029
"coffee bean"	0.0711987
"nitric acid"	0.0686812
"specialty chemical"	0.068528
"organic compound"	0.0683545
ore	0.0682054
"plate glass"	0.0673749
"building material"	0.0668435
CFCs	0.0667869
ATX	0.0667543
"two million tons"	0.0663797
"hydrogen peroxide"	0.0657394
sheeting	0.0656485
"sulfur dioxide"	0.0650779
"nitrogen dioxide"	0.0649893
aquatics	0.0639845
"vegetable oil"	0.063532
"wheat flour"	0.0632502
bitumen	0.0632348
Godot	0.0626892
sugarcane	0.060948
"one million tons"	0.0603484
jute	0.0602629
"frozen foods"	0.059046
"sulfuric acid"	0.0589328
potassium	0.0588805
petrochemical	0.0582852
Sulphur	0.0577026
"nitrogen oxide"	0.0576341
"three million tons"	0.0574105
LPG	0.0570554
"fish fillet"	0.056917
sorghum	0.0559891
"about @@,@@@ tons"	0.0558494
"chemical compound"	0.0558329
"Ford Explorers"	0.055736
eel	0.0551707
"about @@@,@@@ tons"	0.0550981
detergent	0.0550535
chlorine	0.0549798
"Julius Caesar"	0.0531937
PTA	0.0530638
lubricant	0.0528841
oxide	0.0527586
Zinc	0.0524758
wastewater	0.0523503
"soya bean"	0.0519784
barley	0.0516983
"cooking oil"	0.0513595
oilseed	0.0513155
"rare earth"	0.0511823
"red blood cell"	0.0497563
Oedipus	0.0495551
"household appliance"	0.0490793
lint	0.0490249
refrigerant	0.0488538
CPO	0.0487749
sulfur	0.0487567
carburetor	0.0485744
"black tea"	0.0484293
"Don Giovanni"	0.0480897
"coconut oil"	0.047729
polyester	0.0470828
Antony	0.0470429
"sewing machine"	0.0470072
"Twelfth Night"	0.0469145
propane	0.0468134
cobalt	0.0467269
fungicide	0.0466451
Sidon	0.0464532
"diesel fuel"	0.046287
Isolde	0.0461506
"LA BOHEME"	0.0460959
aquiculture	0.0458951
husbandry	0.0458937
telomerase	0.0448367
"medical instrument"	0.044704
"consumer durables"	0.0445435
"home appliance"	0.0443992
"Peony Pavilion"	0.0442208
manganese	0.0441999
"vitamin D"	0.0440647
"food additive"	0.0439314
"more than @@ million tons"	0.0439224
Turandot	0.0438397
"frozen food"	0.0437467
"mineral water"	0.0437035
Ph.D.s	0.0436711
"four million tons"	0.0435864
byproducts	0.0435659
"nitrous oxide"	0.0431928
bursting	0.0431708
"white rice"	0.0427509
"citrus fruit"	0.0423269
"La Traviata"	0.0417426
"Beauty Queen"	0.0416911
"aircraft part"	0.0406238
forklifts	0.0402619
phosphorus	0.0401575
buckwheat	0.040117
))
(caution (desc 36677.4) (sims
prudence	0.13256
nervousness	0.120174
skepticism	0.118655
optimism	0.116962
pessimism	0.109906
worry	0.102008
patience	0.101085
restraint	0.0960779
uncertainty	0.095889
concern	0.0929202
compassion	0.090944
trepidation	0.0905006
humility	0.0903518
enthusiasm	0.0877881
anxiety	0.085539
flexibility	0.0851958
confidence	0.0850579
discretion	0.0847286
warning	0.08407
moderation	0.0825351
fear	0.0814507
vigilance	0.0794325
diligence	0.0791439
discipline	0.0790903
tolerance	0.0776994
"great care"	0.0774658
Openness	0.076957
excitement	0.0764971
disappointment	0.0754504
urgency	0.0750889
wisdom	0.0748074
determination	0.0744355
wariness	0.0744268
reluctance	0.0744237
unease	0.0742943
suspicion	0.0736627
apprehension	0.0730775
confusion	0.0730599
transparency	0.0729998
panic	0.0718765
frustration	0.0716443
jitters	0.0711717
anger	0.0710895
secrecy	0.0706668
alarm	0.0704632
ambivalence	0.0704289
self-restraint	0.0699635
sentiment	0.0698835
modesty	0.0697715
seriousness	0.0695967
aggressiveness	0.0695
doubt	0.069408
sympathy	0.0693057
courage	0.0688417
reverence	0.0688
skittishness	0.0686862
respect	0.0676
"common sense"	0.067074
hesitation	0.066538
judgment	0.0664933
pragmatism	0.0664411
volatility	0.0663157
"good will"	0.0661213
professionalism	0.0660415
satisfaction	0.0659833
expectation	0.0650451
emotion	0.0639471
attention	0.0638395
sensitivity	0.0636583
honesty	0.0635864
cynicism	0.0635125
pride	0.0632021
sadness	0.0627007
sense	0.0622033
care	0.062136
reassurance	0.0618573
bitterness	0.0617729
feeling	0.0616588
reticence	0.0615492
precaution	0.0613442
stress	0.0613273
calm	0.0611383
assurance	0.0610807
attitude	0.060958
surprise	0.0607622
weakness	0.0607263
affection	0.0606348
leniency	0.0603771
difficulty	0.0601947
realism	0.0599139
discomfort	0.0598252
outrage	0.059704
maturity	0.0595774
awareness	0.0594775
gloom	0.0593268
curiosity	0.0592759
firmness	0.05924
disdain	0.0592353
speculation	0.0590558
resentment	0.0590374
apathy	0.0588943
foresight	0.0587461
distrust	0.0586696
desire	0.0584958
encouragement	0.0583555
opinion	0.0583094
willingness	0.0581444
indignation	0.0581354
fairness	0.0580756
warmth	0.0580535
regret	0.0580427
uneasiness	0.0579767
tension	0.0579352
skill	0.0577377
dissatisfaction	0.0577269
belief	0.0576913
self-control	0.0576457
criticism	0.0575689
loyalty	0.0573947
prejudice	0.0572757
relief	0.0571743
dismay	0.0571105
calmness	0.0570529
commitment	0.0570217
scrutiny	0.0568337
passion	0.0566264
boldness	0.0565413
prediction	0.0564278
toughness	0.0562038
apology	0.0559849
empathy	0.055817
responsibility	0.0558167
perseverance	0.0556724
integrity	0.0556305
anguish	0.055597
appreciation	0.0555217
faith	0.0553793
accountability	0.0552363
clout	0.055198
dignity	0.055149
austerity	0.0549474
pressure	0.0549138
"hard work"	0.0549007
bias	0.0547017
intensity	0.0544496
reaction	0.0542244
pause	0.05419
sophistication	0.0541762
comment	0.054047
desperation	0.0539975
bipartisanship	0.0539847
indifference	0.0539461
thinking	0.0538916
stance	0.0538803
efficiency	0.053853
liquidity	0.0538162
risk	0.053815
paranoia	0.053783
civility	0.0537736
advice	0.05372
knowledge	0.0535547
Creativity	0.053552
candor	0.0534909
hostility	0.0534656
distaste	0.0534159
eagerness	0.0533644
condemnation	0.0532645
"rate cut"	0.0532642
strength	0.0529336
resilience	0.0529242
involvement	0.0528909
momentum	0.0527741
stability	0.0526459
euphoria	0.0525832
precision	0.0525755
Leeway	0.05239
Tightening	0.0523353
tactic	0.0523243
intervention	0.0522273
haste	0.0522091
comfort	0.0522054
unity	0.0521951
consideration	0.0521905
arrogance	0.0521788
bewilderment	0.0521723
diversity	0.0521519
certainty	0.0521455
consistency	0.0518423
composure	0.0517505
clarity	0.051711
instability	0.0515432
slowdown	0.0514629
perception	0.0512822
insecurity	0.0512363
admiration	0.0512343
acceptance	0.0511591
shyness	0.0510698
teamwork	0.0510076
understanding	0.0509473
intelligence	0.0506389
))
(cavalcade (desc 2330.97) (sims
slew	0.0583351
screenful	0.0578689
phaseout	0.0562729
"sneak preview"	0.0534698
retrospective	0.0532909
bevy	0.0514186
drumbeat	0.0478809
coterie	0.0467506
Pantheon	0.0454156
underpinnings	0.0453456
believability	0.0451877
confab	0.0442875
caravan	0.0442697
rededication	0.0442047
smorgasbord	0.04373
terminus	0.0436976
"rhythm section"	0.0436228
"television star"	0.0433756
horde	0.0431307
"upper limit"	0.0429118
"knockout punch"	0.0428325
torrent	0.042329
reappraisal	0.042199
gist	0.0415413
jamboree	0.041465
plethora	0.0414624
Minuet	0.0410554
planeload	0.0402478
"New Wave"	0.0402457
))
(Cavalese (desc 1768.02) (sims
Chamonix	0.149265
Pisa	0.118147
Wildwood	0.116809
Taba	0.116542
Trieste	0.116372
Sochi	0.113591
Assisi	0.108734
Eilat	0.103378
Tokaimura	0.103057
Lhokseumawe	0.102946
"Kinder Bologna"	0.100447
Beidaihe	0.0995533
Nago	0.0991182
Aviano	0.0975737
Imola	0.0955708
Larnaca	0.0924742
Golcuk	0.0923551
Cacak	0.0898549
Catania	0.0894411
Posoltega	0.088927
Skaneateles	0.0879556
Eschede	0.0869244
el-Sheikh	0.0866729
Salerno	0.086019
Sestriere	0.0856247
Blackpool	0.0855467
Antalya	0.0854285
"Puerto Vallarta"	0.0831672
Bormio	0.0828491
Marjayoun	0.0801694
Lugano	0.0799125
Pattaya	0.0788051
"Victoria Falls"	0.077329
Hakuba	0.0768308
"Myrtle Beach"	0.0764471
Luca	0.0748868
Princeville	0.0726679
Genoa	0.0718295
Walkerton	0.071165
Gnjilane	0.0704542
Srbica	0.0704172
"Renzo Furlan"	0.0702959
"Mount Pleasant"	0.0700427
"Francesco Casagrande"	0.0691279
Hempstead	0.0689801
Urus-Martan	0.0684755
Rafah	0.068159
Ensenada	0.067421
Khost	0.0673882
"Rita Grande"	0.0673442
Kizlyar	0.0673415
"Max Biaggi"	0.0673308
BRIGHTON	0.0666887
Sipadan	0.0665499
este	0.0662369
Davos	0.065964
Spoleto	0.0657731
Acapulco	0.0652886
Plata	0.0650377
Beersheba	0.0648525
Bangor	0.0644478
Macoris	0.0638276
Dundalk	0.0636904
Luxor	0.0632537
Talipao	0.0631602
"Kosovo Polje"	0.0630085
Matadi	0.0629485
"Isolde Kostner"	0.0628797
Kalemie	0.0625177
Junik	0.0624912
Shali	0.0623144
Nabatiyeh	0.0621881
Banff	0.0617886
Vicenza	0.0617211
Kitona	0.0615895
"Michele Bartoli"	0.0603853
PALERMO	0.0603416
Aswan	0.0603393
Phuket	0.0599531
Orahovac	0.0598254
"ski lift"	0.0597011
Ashkelon	0.0596688
Monza	0.059559
Racak	0.0592906
Verona	0.0586801
Sihanoukville	0.058129
Vitoria	0.0579597
Dubrovnik	0.0578968
Breckenridge	0.0576524
"Prada Challenge"	0.0575792
"UC Irvine"	0.0569937
Aqaba	0.0565153
CANCUN	0.0563682
Hillsboro	0.0563172
Limassol	0.0559945
Kupang	0.0556884
"Montego Bay"	0.055174
Elmira	0.0550688
Kijevo	0.054972
"Suva Reka"	0.0549367
Kanungu	0.0547583
Leskovac	0.0547514
Pancevo	0.0547264
Mankulam	0.0546092
"Arctic Circle"	0.0545828
Atambua	0.0545117
"Asian Winter Games"	0.0542548
Perugia	0.054107
Kilinochchi	0.0540863
Bazar	0.0540792
Naples	0.0533208
Malaga	0.0532099
Aachen	0.0531718
"Park City"	0.0518464
Vail	0.0516736
"Diego Nargiso"	0.0516703
"Amadou Diallo"	0.0516428
"Silvia Farina"	0.0512945
Belacevac	0.0512747
Juba	0.0511445
Caguan	0.051141
Paphos	0.0510456
Vedeno	0.0503233
Zakopane	0.0502834
Ballymoney	0.0500623
"Three Mile"	0.0499738
Grande	0.0495756
"Port Elizabeth"	0.0494555
"Davide Sanguinetti"	0.049412
Udinese	0.0493003
Tachilek	0.0492293
"Commonwealth Ministerial Action Group"	0.0488317
"Max Papis"	0.0487288
"Del Rio"	0.0486731
Kailahun	0.048519
Siena	0.0480694
"San Lorenzo"	0.0479511
Urosevac	0.0477247
"Gianluca Pozzi"	0.0473398
"Motor Speedway"	0.0472726
Manado	0.0472303
"Santo Domingo"	0.0470399
"Deborah Compagnoni"	0.0469841
"Watkins Glen"	0.0466852
"California Speedway"	0.0462753
Lockerbie	0.0462567
"Mazari Sharif"	0.0458459
Malisevo	0.0456772
Makhachkala	0.0456497
Klagenfurt	0.0456048
"Port Arthur"	0.0453862
Kukes	0.0451689
Sanya	0.0451293
"Diamond Mountain"	0.0450752
Berne	0.0450322
"Lake Louise"	0.0450083
Panmunjom	0.0449213
"SIERRA BLANCA"	0.0448192
Bayonne	0.0446139
Gudermes	0.0444608
Sion	0.0443154
Palma	0.0442725
Makeni	0.0442702
"Ocean City"	0.0442657
NIS	0.0441697
Calabria	0.043952
Decani	0.0438531
Gisenyi	0.0438142
"Michigan Speedway"	0.0437829
Charleroi	0.0437691
Diyarbakir	0.0437375
"White Plains"	0.0436961
Nazareth	0.043531
Cannes	0.0434276
Izmit	0.0432276
Kisumu	0.0426426
"Alex Zanardi"	0.0426072
"Sierra Nevada"	0.0425518
"High Point"	0.0421951
"building site"	0.0421538
"San Sebastian"	0.0420535
"Nagano Winter Olympics"	0.0419752
Ipswich	0.0418281
Moshi	0.0418209
Loudon	0.0417995
Plattsburgh	0.0414738
Ceyhan	0.0414085
Pinehurst	0.0412137
Messina	0.0411321
Claremont	0.0409679
Klina	0.0408646
Uvira	0.0406861
Ismailia	0.0406159
Shepherdstown	0.0404143
Blace	0.0403259
Elton	0.0402619
bethel	0.0402268
Warwick	0.0402102
Lewiston	0.0401722
))
(cavalier (desc 9125.57) (sims
Timberwolves	0.15717
piston	0.139435
pacer	0.138546
grizzly	0.136437
Boilermakers	0.132451
"Cleveland Cavaliers"	0.132228
sixer	0.126451
wildcat	0.126206
clipper	0.125736
Celtics	0.12386
Hawkeyes	0.122598
maverick	0.121658
Hornet	0.120496
Starzz	0.118885
Supersonics	0.118577
"Tar Heels"	0.118513
nugget	0.117284
Lakers	0.117132
"Trail Blazers"	0.116414
Sonics	0.116197
Raptor	0.114948
bulldog	0.114911
bearcat	0.113488
Cavs	0.112909
"Charlotte Hornets"	0.112338
Knicks	0.110937
terrapin	0.110442
"Miami Heat"	0.110438
Eagles	0.107369
blazer	0.106019
spur	0.105693
"Indianapolis Colts"	0.105692
Redskin	0.105237
Wolfpack	0.105197
buckeye	0.103823
hawk	0.10319
Vols	0.102859
bruin	0.102547
"Edmonton Oilers"	0.10201
Sooners	0.101501
gamecock	0.101255
MetroStars	0.101169
Gators	0.100945
"blue devil"	0.100506
"Houston Rockets"	0.0998235
Illini	0.0997822
"Los Angeles Lakers"	0.0991328
Razorback	0.0990968
Spartan	0.0989975
"Fighting Irish"	0.0988804
"Indiana Pacers"	0.0986624
oiler	0.0976512
packer	0.0972589
panther	0.0966138
"Denver Nuggets"	0.0965611
Trojan	0.0964881
Bengals	0.0962795
"Chicago Bulls"	0.0961595
husky	0.0959436
Seminoles	0.0957507
BEARS	0.0954841
"Washington Capitals"	0.0953716
cougar	0.0950129
"Philadelphia Eagles"	0.09484
"Milwaukee Bucks"	0.0947155
Jayhawks	0.0944578
NAU	0.0944407
"yellow jacket"	0.0942512
"Washington Redskins"	0.0942368
"Red Wings"	0.094221
"Toronto Maple Leafs"	0.0941893
bull	0.0937995
Steelers	0.0935738
falcon	0.0934735
"Kansas City Chiefs"	0.0934591
"blue jay"	0.0934019
"D.C. United"	0.0932526
charger	0.093179
Huskers	0.0929529
"Tampa Bay Buccaneers"	0.0927002
"Chicago Bears"	0.0926709
"Vancouver Canucks"	0.0923235
"Tennessee Titans"	0.0922794
Longhorn	0.0920198
Pepperdine	0.0917487
"New Jersey Nets"	0.0917073
"Boston Celtics"	0.0915796
badger	0.0914058
"Golden State Warriors"	0.0911581
"Miami Fusion"	0.0910839
"Florida Panthers"	0.0909297
"New York Liberty"	0.0909005
LSU	0.0906678
"Michigan State"	0.0904921
"Dallas Mavericks"	0.0902691
Viking	0.0901885
"New York Giants"	0.0899857
"Nashville Predators"	0.0898502
Seahawks	0.0897503
bronco	0.0897212
Orioles	0.0896448
"Miami Dolphins"	0.0893301
Giants	0.0890991
Wolverine	0.0890829
"Detroit Pistons"	0.0890083
"Philadelphia Flyers"	0.0888634
"Golden Hurricane"	0.0888003
"Seattle Seahawks"	0.0887119
Aggies	0.0883783
"Oakland Raiders"	0.0883609
"Nittany Lions"	0.0883594
Canuck	0.0882906
Hoya	0.0881885
ram	0.0881737
"Phoenix Suns"	0.0880971
"St. Louis Rams"	0.0880637
sabre	0.087986
"Kansas State"	0.0879771
"San Antonio Spurs"	0.0879751
Sox	0.0875757
"San Jose State"	0.0873544
"Cincinnati Bengals"	0.0872723
"White Sox"	0.0872325
Gonzaga	0.0872017
Raven	0.0870623
"Atlanta Hawks"	0.0868169
patriot	0.0865375
Padre	0.0864095
"Maple Leafs"	0.0863977
A's	0.0861181
"San Diego Chargers"	0.0857718
Cornhusker	0.0857469
Phillies	0.0856413
brave	0.0855499
Purdue	0.0855161
"Horned Frogs"	0.0854842
"New York Knicks"	0.0854144
"San Diego State"	0.0848998
"Minnesota Twins"	0.0848848
"Houston Astros"	0.084869
"Tampa Bay Devil Rays"	0.0848223
BUCCANEER	0.0846912
"Atlanta Braves"	0.08462
"Dallas Burn"	0.0844424
"San Francisco @@ers"	0.0843554
"Minnesota Vikings"	0.084285
"Arizona Cardinals"	0.0842546
"Denver Broncos"	0.084189
Minutemen	0.0841739
"Iowa State"	0.0841048
wizard	0.0839499
"Oregon State"	0.0839236
"Washington Wizards"	0.083809
"New Orleans Saints"	0.0837319
"San Diego Padres"	0.0837181
"Los Angeles Clippers"	0.0836454
UCLA	0.083441
"Utah Jazz"	0.0833778
"Detroit Red Wings"	0.0833568
dolphin	0.0830703
"Minnesota Timberwolves"	0.0830079
"Chicago White Sox"	0.0827711
"San Jose Sharks"	0.0825957
"Red Sox"	0.0825178
cardinal	0.0821387
"Red Raiders"	0.0820961
diamondback	0.0819849
Cleveland	0.0819404
"Orlando Magic"	0.0819065
"Buffalo Bills"	0.0815788
"Carolina Hurricanes"	0.0815399
"Seton Hall"	0.0814307
Rutgers	0.0814287
cub	0.0814181
islander	0.0814125
"New England Patriots"	0.0812128
"Philadelphia Phillies"	0.0810768
"North Carolina State"	0.0807876
Sparks	0.0807622
Canadiens	0.0807
"Old Dominion"	0.0805971
"Penn State"	0.0805885
Bucs	0.0805624
"Colorado Rockies"	0.0805452
"Tampa Bay Lightning"	0.0802778
Clemson	0.0802159
"Golden State"	0.0801409
devil	0.0801361
"Texas Tech"	0.080112
ranger	0.0797546
raider	0.0796996
dodger	0.0796743
"St. Louis Cardinals"	0.0796691
"Seattle Mariners"	0.0795852
"Toronto Raptors"	0.0795233
Lobos	0.0794276
"Ohio State"	0.0793545
USC	0.0792503
"Milwaukee Brewers"	0.0788267
"Boston Red Sox"	0.0788129
))
(Cavallo (desc 869.664) (sims
Yazdi	0.227007
Shayler	0.172101
Ntakirutimana	0.156869
Priebke	0.154953
Lazarenko	0.149597
Imperatori	0.146783
Kiareldeen	0.141576
Blackthorne	0.14119
Villanueva	0.140367
Jelisic	0.136978
Bizimungu	0.132595
Skuratov	0.128001
Meston	0.125918
Demjanjuk	0.123494
Sanan	0.122742
Hensley	0.122447
Nikitin	0.122264
Kalejs	0.122229
Stayner	0.121886
Mokhehle	0.120413
Kimeses	0.120293
Yastrzhembsky	0.119701
Karbaschi	0.119618
Rivlin	0.118091
"Abu Nidal"	0.117817
Murayama	0.11574
Rodionov	0.115476
Schaeuble	0.114919
Schottenheimer	0.11479
Kazhegeldin	0.114733
Warshaw	0.114311
Meskini	0.11397
Kaunda	0.113303
Gullit	0.113216
Natale	0.112871
Aventajado	0.112769
Mattysse	0.112322
Bedell	0.111062
"Del Toro"	0.110576
Grachev	0.110397
Tevanian	0.110069
Ratner	0.109881
Swango	0.108688
Mukora	0.10843
Banzer	0.108055
Fleischer	0.107894
Arens	0.107221
Kurth	0.107166
Neeman	0.105597
Ciampi	0.105163
Vasile	0.105103
Reimer	0.104759
Carruth	0.103525
Adair	0.103226
Agca	0.1032
Chubais	0.102826
Faget	0.102823
Haouari	0.102632
Babitsky	0.102462
Manley	0.102356
Ruehe	0.101424
"Cary Stayner"	0.100855
Borodin	0.100745
Ghani	0.100534
Zadornov	0.10053
Ibrahim	0.100105
Hoke	0.0998398
Krajisnik	0.0998131
Papon	0.099729
Liao	0.0994632
Soriano	0.0993465
Kan	0.0988505
Walesa	0.0986773
Krstic	0.0986727
"Ruiz Massieu"	0.0985979
Fernandes	0.0985881
Kirkpatrick	0.0984948
"Jim Harrick"	0.0983073
Joklik	0.098099
Elliot	0.0978097
Sebaggala	0.0975817
Wetherell	0.0966308
DuBose	0.0964635
Merlino	0.096461
ARI	0.0963122
Mitnick	0.0962135
Sakic	0.0961733
Lari	0.0961458
Sheehan	0.0961156
Milbury	0.0959316
Berezovsky	0.0955987
Tsvangirai	0.0953779
Colburn	0.0941706
Lundy	0.0940328
Quackenbush	0.0940282
Kimes	0.0939793
Talebi	0.0935976
Zambrano	0.093591
Bulatovic	0.0933869
Vogts	0.093181
Oviedo	0.0929955
Malik	0.0928432
Paciello	0.0926115
Al-Amin	0.0925019
Passarella	0.0924864
Tong	0.0922409
Bolger	0.0922128
Demaci	0.0921373
Basayev	0.0918069
"British Foreign Office"	0.0915306
Bubb	0.0914123
Markhasev	0.0912957
Mikhailov	0.0912281
Einhorn	0.0910248
Dumas	0.090412
Ershad	0.0903575
Hamid	0.0902414
Berisha	0.0900475
DIMON	0.0898199
Kopp	0.089745
Tran	0.0896742
Brunner	0.0896136
Weizman	0.0894197
Waigel	0.0891069
Sharansky	0.0888607
Bakaly	0.08877
Alarcon	0.0886044
Hofer	0.0883999
Villar	0.0883003
Mcbride	0.088191
Kromah	0.0881669
Carmichael	0.0879227
DiCarlo	0.0877595
Hage	0.0877381
Chevenement	0.0876661
Kerasiotes	0.0872824
Sithole	0.0872596
Chmura	0.087075
Montesinos	0.0869013
Rao	0.0868787
Manbar	0.0868256
Resendez-Ramirez	0.0863626
"Israeli Foreign Ministry"	0.0863243
Gusinsky	0.0863056
Ummi	0.086196
Troussier	0.0861626
Berenson	0.0858971
Haney	0.085516
Kelso	0.0851727
Ressam	0.0850449
Montiel	0.0847559
Skakel	0.0845711
Garofalo	0.0844887
Catacosinos	0.0841286
looper	0.0838929
Havelange	0.0836508
Karr	0.0834885
Juppe	0.0833656
Nickerson	0.0831873
Huggins	0.0824398
Salim	0.0820656
Nasrin	0.0817624
Kulikov	0.081746
Bildt	0.0816455
Sampson	0.0816361
Giordano	0.0815408
"Russell Peeler"	0.0814678
"Australian Cricket Board"	0.0812968
Deane	0.0811809
Giacchetto	0.0810254
Beckwith	0.0809346
Tuberville	0.0809256
Nano	0.0802865
EOHR	0.0802671
"Abdullah Ocalan"	0.0802669
Vialli	0.0802481
Mahuad	0.0802312
Ishihara	0.0800599
Ntuyahaga	0.0798587
Kabariti	0.0798262
Esposito	0.0796064
Maslyukov	0.0795811
Sherrill	0.079564
Teresi	0.0795555
Kovacevic	0.0792819
"Augusto Pinochet"	0.0792109
Hallinan	0.0791925
Tarrin	0.0791709
Ivester	0.0791311
Faulder	0.079119
Abu-Jamal	0.0791177
Jayalalitha	0.0790929
Guei	0.0790812
Naumann	0.0788761
Cooley	0.0788062
Soliah	0.0786717
Hasan	0.0786497
"El Hage"	0.0786372
Mercurio	0.0785108
Lombardi	0.0784974
))
(cavalry (desc 4615.62) (sims
infantry	0.237091
"Infantry Division"	0.172077
paratroops	0.160053
"Airborne Division"	0.142504
"Special Forces"	0.141299
Gurkha	0.131065
Regiment	0.0995062
IRGC	0.0993027
"military police"	0.0975581
Brigade	0.0964293
"National Guard"	0.0938589
paratrooper	0.0923773
"Yugoslav Army"	0.0860774
commando	0.0857378
UPDF	0.0837493
"Viet Cong"	0.0809538
"Infantry Battalion"	0.0776152
"British Army"	0.0774499
"Red Army"	0.0771005
artillery	0.0763589
battalion	0.0755765
"Air Force Reserve"	0.0749227
"Royal Air Force"	0.0727124
"Delta Force"	0.0700813
"U.S. Army"	0.0686498
squadron	0.0675436
UNIFIL	0.0662242
SANDF	0.066191
gendarmerie	0.0659683
IDF	0.0649739
"Marine Corps"	0.0645508
"Air Force"	0.0644445
"South Vietnamese"	0.0642281
"Plenary Session"	0.0639911
SLA	0.0636525
enactors	0.0625187
"regular army"	0.0622077
"Albanian Kosovo Liberation Army"	0.0604605
"Republican Guard"	0.0601253
"artillery unit"	0.0596169
platoon	0.0586883
"State Police"	0.0586735
"Air National Guard"	0.0584714
Japanese-American	0.058426
"Department of Public Safety"	0.0582556
ld	0.0571684
RCMP	0.0569982
"Internal Affairs"	0.056455
plainclothes	0.0562095
"Texas Department of Public Safety"	0.0561324
Interpublic	0.0550616
Apaches	0.0547206
KFOR	0.0543444
UNAMSIL	0.0542711
PLA	0.0539517
"Uganda People's Defense Forces"	0.0538293
INTERFET	0.0538244
armor	0.0537564
Ld-Writethru	0.0529905
"military academy"	0.0528685
Frito-Lay	0.052642
"Army Air Corps"	0.0526201
"Revolutionary Guards"	0.0506391
"battle group"	0.050566
"Kraft Foods"	0.0504305
prvs	0.0503511
parachute	0.0502889
"Israel Defense Forces"	0.0502753
KNU	0.0501905
"New Jersey State Police"	0.0501217
"South Lebanon Army"	0.0498974
royalist	0.0496494
AMM	0.0495298
BSF	0.0495002
UNFICYP	0.049196
"Liberation Army"	0.0491923
"Russian Interior Ministry"	0.0487829
ragtag	0.0487504
"civil defense"	0.0486038
Gendarme	0.0484931
parachutist	0.0484634
"Hughes Electronics"	0.0478788
"Southern Command"	0.047829
"Mather Worldwide"	0.0478207
"North Vietnamese"	0.0476436
Corp	0.0472286
sentry	0.047121
"Aerospatiale Matra"	0.0471014
"CBS Corp."	0.0467704
SFOR	0.0466431
"moving van"	0.0465678
"Northern Fleet"	0.046563
"merchant marine"	0.0465628
picketers	0.0464599
KLA	0.0464289
coastguard	0.0463481
"Los Angeles Police Department"	0.0462662
RAF	0.0458745
Gestapo	0.0449872
Searle	0.0448728
planeload	0.0446222
Dreyfus	0.0444725
"another six"	0.0444173
"New York Police Department"	0.0443633
airforce	0.0441505
"American plane"	0.0441375
"Pratt &AMP; Whitney"	0.0440841
"personnel carrier"	0.0439623
gunship	0.0438752
"Interior Ministry"	0.0436981
"fire brigade"	0.043329
slain	0.0432478
LRA	0.0432432
TNI	0.0429137
airmen	0.0428569
grafs	0.0426734
NATO-led	0.042657
NYPD	0.042617
Godolphin	0.0422659
"Royal Ulster Constabulary"	0.042256
LAPD	0.0422492
ADF	0.0422242
"Islamic Welfare Party"	0.0420962
warplanes	0.0420055
machine-guns	0.0416531
"Royal Canadian Mounted Police"	0.0416531
Sandinista	0.0415459
inspectorate	0.0415287
"aircraft carrier"	0.0411426
KGB	0.0409155
"naval forces"	0.0407848
"Dayton Hudson"	0.0405712
IFOR	0.0405272
Instinet	0.0405068
Botswanan	0.0404955
"air defense"	0.0404114
"U.N. Interim Force in Lebanon"	0.0403095
caravan	0.0402392
"Gulf War"	0.0402376
RUC	0.0401806
flotilla	0.0401412
cadet	0.0400824
qtr	0.0400468
"military unit"	0.0400084
))
(Cavanaugh (desc 770.483) (sims
"De Soto"	0.162447
Komura	0.160346
Ikeda	0.154078
Azad	0.14106
Stoyanov	0.140351
Velayati	0.137585
Pickering	0.131148
Moratinos	0.130984
Granic	0.126314
Brahimi	0.125994
Talebi	0.124721
Grachev	0.12445
"de Charette"	0.123014
Kok	0.122795
Vollebaek	0.120581
Scalfaro	0.115675
Cem	0.114136
Ogata	0.112909
Nzo	0.110215
Kharrazi	0.109805
"Secretary General Esmat Abdul-Meguid"	0.109698
Monson	0.109277
Indyk	0.108892
Rifkind	0.10805
Ekeus	0.106675
Koskinen	0.106202
Holl	0.106016
Guterres	0.104855
Ruehe	0.104211
Jovanovic	0.103729
Allchin	0.103421
Klima	0.103364
Myhrvold	0.102473
Bedell	0.101984
Eizenstat	0.101513
Maharaj	0.100326
Koo	0.100011
Nujoma	0.0998343
Dini	0.0995162
Niyazov	0.0992579
Ruthardt	0.0991735
Surin	0.0984515
Constantinescu	0.0976338
Chissano	0.0975261
Hamlin	0.0967523
Lipponen	0.0963475
Aliyev	0.0959582
Kasoulides	0.0955929
Mineta	0.0953839
Karimov	0.0953517
Romar	0.095039
Orban	0.0948152
Talbott	0.0946924
Banharn	0.0946008
Ciampi	0.0943713
Ruggiero	0.0943481
Yastrzhembsky	0.093674
Hamad	0.0936262
Rossotti	0.0934161
Koehler	0.0934073
Khaddam	0.093076
Hersh	0.0927429
Bolger	0.0921049
Qiao	0.092085
Shevardnadze	0.090897
Pangalos	0.0908041
"Brian Cashman"	0.0905026
Fleischer	0.0902632
Fieger	0.0897531
Zou	0.0897399
Shahak	0.0897113
Fassett	0.089478
Cleary	0.0894668
Byers	0.0890715
Majali	0.088957
Joklik	0.0889175
Luong	0.0888316
Maslyukov	0.0879341
Rodionov	0.0877885
Gangelhoff	0.087654
Kearin	0.087384
Harrick	0.087367
Naumann	0.0870955
Kyprianou	0.0870594
Schmalensee	0.0869268
Soyinka	0.0868589
Dominguez	0.0867926
Menchu	0.0866502
Cowens	0.0861933
Ben-Ami	0.0860759
Copeland	0.0858088
Soares	0.0857317
Prueher	0.085667
Kagame	0.0855409
Espinosa	0.085266
al-Sahhaf	0.0852103
Ebersol	0.0849256
Diouf	0.0847769
Wolfensohn	0.0847724
Wolfson	0.0845657
Juncker	0.0843111
Donahue	0.0838232
Manley	0.083141
Brittan	0.0831264
Ingraham	0.0831225
Zuma	0.0829602
Vedrine	0.0827955
Nacchio	0.0827497
Wenger	0.0824174
Sumaye	0.0822651
Cashman	0.0821323
"Pope John Paul"	0.0820663
Berri	0.0820014
Deuba	0.0818691
Iliescu	0.0817827
Christy	0.0817184
Jenoff	0.0816907
Narayanan	0.081661
Xiong	0.0814295
Phieu	0.0814157
Wilhelm	0.0811171
Mkapa	0.0809803
Reimer	0.0809735
Sampaio	0.080949
Ivanov	0.0809248
Krzyzewski	0.080789
Nickerson	0.0807634
Juma	0.0804819
Papandreou	0.0803072
Milutinovic	0.0802268
Martz	0.0800011
Larsen	0.0799921
Bondevik	0.0798672
Eran	0.0796344
McMullen	0.0793428
Sergeyev	0.0791765
Kinkel	0.0790575
Jayakumar	0.0790521
Daley	0.0789481
Chubais	0.0789033
Xanana	0.0788734
Mattysse	0.0787205
LeBlanc	0.0785811
Grasso	0.0785657
Zeng	0.0784757
Brundtland	0.0783982
"Jim Harrick"	0.0783864
Chavalit	0.0783546
Hu	0.0780613
Khai	0.0779567
Pustovoitenko	0.0777732
Ganzouri	0.0776267
Kearney	0.0775818
Upton	0.0774016
Kono	0.0771225
Aoki	0.0770346
Walesa	0.076999
Rabe	0.0766716
Westendorp	0.0766251
Venables	0.0763509
Seleznyov	0.0762843
Ahtisaari	0.0762546
Beazley	0.0762025
Brazill	0.0761686
Ikimi	0.0761282
Chretien	0.0759838
Eubanks	0.0756538
Fino	0.0755151
Hasina	0.0752711
Jia	0.0751951
Mackey	0.0751619
Downer	0.0750851
Goff	0.075052
"Boutros Boutros Ghali"	0.0748878
Siazon	0.0748356
Goldin	0.0748226
al-Sahaf	0.0747485
McKenna	0.0746487
Akayev	0.0746449
Shara	0.0745159
Donnan	0.0744548
Shareh	0.0744063
Leung	0.0743106
"Paul Keating"	0.0742723
Qureshi	0.0741037
Aventajado	0.0739115
Zarb	0.0737157
Yassin	0.0736796
Bellamy	0.073586
Zadornov	0.0733316
Wannstedt	0.0733284
Juppe	0.0732244
Machado	0.0732102
"Sher Bahadur Deuba"	0.0729645
Aznar	0.0728255
Epstein	0.0723254
Bizimungu	0.0722936
Ismail	0.0721522
Hrawi	0.0721434
Faget	0.0719836
))
(cave (desc 31857.7) (sims
grotto	0.152863
tomb	0.128067
cavern	0.106374
cafe	0.103899
tunnel	0.0998522
pit	0.094176
ruin	0.0914624
basement	0.0905197
Monastery	0.0887858
canyon	0.088697
cellar	0.0849435
Grave	0.0842861
cemetery	0.0836316
forest	0.0834536
cabin	0.0832993
temple	0.0812081
valley	0.0799942
building	0.079532
lake	0.0790891
bunker	0.0789214
crater	0.0786747
gorge	0.0784275
mountain	0.0783563
dwelling	0.0777158
hut	0.0765413
apartment	0.0765169
ravine	0.0755314
Warehouse	0.0749679
sarcophagus	0.0748253
fossil	0.0741378
jungle	0.073292
chapel	0.072477
village	0.071766
sanctuary	0.0709011
compound	0.070834
kiln	0.0708022
bedroom	0.0707978
Dunhuang	0.0707292
Castle	0.0707179
garden	0.0703969
quarry	0.0703222
mine	0.0695937
reservoir	0.0692856
desert	0.069255
garage	0.0690678
trench	0.0686697
cliff	0.0685763
barn	0.0685588
room	0.068441
mausoleum	0.0683081
"bomb shelter"	0.0679746
palace	0.067828
pond	0.0677174
farmhouse	0.0671442
tent	0.0669738
ocean	0.0663373
relic	0.0661133
park	0.0656534
"apartment building"	0.0655645
shack	0.0652401
closet	0.0649316
trailer	0.0649226
museum	0.0645347
pagoda	0.064485
glacier	0.0642335
fortress	0.0640453
farm	0.0638558
ranch	0.0636597
church	0.0636158
shed	0.0633612
Convent	0.0628428
cottage	0.0627899
pyramid	0.0625009
"mobile home"	0.0623117
hangar	0.0620781
bathroom	0.061493
wilderness	0.0614197
"Western Wall"	0.0612867
compartment	0.0611655
shrine	0.0611264
"coral reef"	0.0608972
basin	0.0608688
attic	0.0607696
crevice	0.0606757
monument	0.0604154
kitchen	0.060331
dam	0.0600416
river	0.0596712
ditch	0.0596149
gully	0.059588
enclosure	0.0593178
shelter	0.0592263
mosque	0.0588804
pasture	0.0587623
space	0.0587042
Tower	0.0586709
mansion	0.0581375
swamp	0.0577528
cubicle	0.0577063
wreckage	0.0575892
hotel	0.0574711
volcano	0.0574211
"national park"	0.0573594
statue	0.0573471
skeleton	0.0573389
synagogue	0.0573191
sculpture	0.0572837
fresco	0.0566623
"burial ground"	0.056631
Villa	0.0563704
"living room"	0.0561179
vault	0.0559417
lodge	0.0557052
courtyard	0.0555748
"hot spring"	0.0555003
treasure	0.0554321
barrack	0.0553483
tree	0.0552184
complex	0.0549362
classroom	0.0549339
plantation	0.054811
cage	0.0545944
hall	0.0545723
graveyard	0.0545576
artifact	0.0545125
gym	0.0544884
"parking lot"	0.0543021
structure	0.0542536
soil	0.0541527
winery	0.0541442
reef	0.0540672
wreck	0.0540357
Dome	0.0540105
Canal	0.0539728
Wetland	0.0539273
inscription	0.0538485
gallery	0.0537717
elevator	0.0536728
"small town"	0.0536609
resort	0.0533594
wood	0.0532868
carving	0.0531754
shipwreck	0.0530977
sea	0.0529295
stele	0.052776
shaft	0.0527024
drawer	0.0526671
culvert	0.0526506
Fort	0.052632
pool	0.0526211
altar	0.0526005
hill	0.0525528
chamber	0.0525499
bed	0.052458
hallway	0.0524306
grassland	0.0522869
coffin	0.0522588
residence	0.0522332
Grove	0.0520693
township	0.0517372
lagoon	0.0517256
"dining room"	0.0516559
skull	0.051371
library	0.0513238
depot	0.0513041
cockpit	0.0512956
trunk	0.0512786
waterfall	0.0512779
theater	0.0511674
"burial site"	0.0510576
oilfield	0.050999
studio	0.050944
archive	0.0508181
"tropical rain forest"	0.0507877
hideout	0.0507366
prison	0.0504239
motel	0.0503918
battlefield	0.0502558
"dressing room"	0.0502481
outpost	0.0502303
factory	0.0500808
habitat	0.0500619
stone	0.0500028
harbor	0.0499702
auditorium	0.0498479
Creek	0.049776
mummy	0.0497438
farmland	0.0496323
loft	0.0496155
"body of water"	0.0496086
bridge	0.0494972
cell	0.0493127
hillside	0.0492649
wall	0.0492004
Lighthouse	0.049139
subdivision	0.0490743
zoo	0.0490049
Alley	0.0489849
cupboard	0.048965
"shopping mall"	0.0489053
))
(caveat (desc 5772.61) (sims
quibble	0.104344
"rule of thumb"	0.0878643
drawback	0.0876618
"loose end"	0.0845239
"safety feature"	0.0834268
"silver lining"	0.0811137
disclaimer	0.0810985
proviso	0.0797481
"word of advice"	0.0795823
corollary	0.0787422
pluses	0.0768774
asterisk	0.0726559
tidbit	0.0724346
hiccup	0.0705064
irony	0.0702049
wrinkle	0.0689796
"question mark"	0.0665805
things	0.0665101
ifs	0.0656631
exception	0.0652567
"key rate"	0.065098
"piece of furniture"	0.0650178
stipulation	0.0649566
"school of thought"	0.0648101
misconception	0.06456
downside	0.0644341
anecdote	0.0635347
expletive	0.0630411
"two words"	0.0622666
observation	0.0612987
gripe	0.0609055
pitfall	0.0606183
hitch	0.0602155
"heavy hitter"	0.0601005
flaw	0.0600637
paragraph	0.0590884
variable	0.0585944
intangible	0.0585071
firsts	0.0584935
stat	0.058323
generalization	0.0582287
ballgames	0.0581385
paradox	0.058075
asides	0.0575344
subplot	0.0570221
"mouse click"	0.0567408
oddity	0.0565319
adjective	0.055444
Truism	0.0551941
near-misses	0.0548989
"fringe benefit"	0.0542326
"side effect"	0.0542208
qualm	0.0540817
inaccuracy	0.0539632
doubter	0.0537827
consolation	0.0536302
similarity	0.0532133
downsides	0.0530327
slipup	0.0527709
footnote	0.0524097
"New York Democrats"	0.0508893
"close call"	0.0507524
"break of serve"	0.050679
"hundred million dollars"	0.0506637
meatpackers	0.0506553
amenity	0.0506492
facet	0.0504207
"data file"	0.0502819
embellishment	0.0502223
"common denominator"	0.0495556
"tax change"	0.0494679
abstention	0.0494037
"shell game"	0.0493942
fella	0.0493457
"mechanical device"	0.0493446
platitude	0.0492707
"dollar sign"	0.0492486
Limitation	0.0491421
"tax advantage"	0.0490886
refinement	0.0490831
stanza	0.0490269
hypotheses	0.0489443
guessing	0.048719
hypothesis	0.0483899
prong	0.0483442
gizmo	0.0483283
finality	0.0483005
tenths	0.0482763
elements	0.0480565
verity	0.0478189
addendum	0.0477865
alteration	0.0475611
hand-wringing	0.0473666
clue	0.0473236
axiom	0.0472947
one-liner	0.0472852
precaution	0.0471765
"hue and cry"	0.046983
stopwatch	0.0469416
determinations	0.0467661
perk	0.046583
reasoning	0.0464064
beany	0.0463585
glitch	0.0461506
inference	0.046123
"hundred thousand dollars"	0.0458806
"base runner"	0.0458592
blooper	0.0457852
tuner	0.0457546
trepidation	0.0456911
blather	0.0454883
whopper	0.0454834
glimmer	0.0451745
assumption	0.0451564
"great deal"	0.0451014
inconsistency	0.0450886
misstep	0.0449807
half-truth	0.0449235
"side dish"	0.0448603
hunch	0.0448093
"Good Book"	0.0447687
zingers	0.0447646
shortcoming	0.0447166
gimmick	0.0446684
profanity	0.0446622
upshot	0.0446122
"religious holiday"	0.0445873
canard	0.0445798
"great year"	0.0445768
"exclamation point"	0.0444591
oomph	0.0443148
"hundred dollars"	0.0440855
contradiction	0.0440736
dilemma	0.0440678
superlative	0.0440303
trait	0.0439925
imperfection	0.0438486
complication	0.0436968
smooch	0.0436856
parameter	0.0436786
"elbow room"	0.043616
cliche	0.0436148
"fishing license"	0.0435473
Picassos	0.0432707
suspense	0.0431508
"policy change"	0.0431106
guidepost	0.0430923
Advil	0.0430487
timeouts	0.0430456
trimming	0.0430031
"wedding party"	0.0429717
snippet	0.0428836
old-timer	0.0427881
goody	0.0427398
baloney	0.0426995
"admission price"	0.0426486
adage	0.0425501
postscript	0.0425146
annotation	0.0424753
hoopla	0.0424191
discrepancy	0.0424132
nutrient	0.0424002
Christmases	0.0423846
skeptic	0.0422746
zinger	0.0422544
chipmakers	0.0422405
"full moon"	0.042192
syllable	0.0421883
pointer	0.04213
"risk factor"	0.0420619
changeups	0.0420206
major-leaguers	0.0419655
"practical application"	0.0418074
precondition	0.0417016
pizazz	0.041626
admonition	0.041615
"agenda item"	0.0415684
"piece of music"	0.0414852
run-in	0.0413579
rationale	0.0413576
hesitation	0.0413558
calculus	0.0412569
bombshell	0.041175
ambiguity	0.0411219
earpiece	0.041084
fuss	0.0410759
preamble	0.0410438
"service charge"	0.0409759
blip	0.0409598
"sliding door"	0.0409526
peep	0.0408603
urgency	0.0408509
bromide	0.0408421
epithet	0.0407968
"two cents"	0.0407879
keystrokes	0.0407738
misperception	0.0407521
criteria	0.0407408
QBs	0.0407397
"frame of reference"	0.0407326
))
(cavern (desc 5461.42) (sims
cave	0.106374
grotto	0.0816891
tunnel	0.0730391
reservoir	0.0698738
bunker	0.0696321
cellar	0.0688157
aquifer	0.066277
crevice	0.0658759
canyon	0.0657818
quarry	0.0645081
basement	0.064322
"hole in the ground"	0.0642433
"water tank"	0.0634455
pagoda	0.0630072
fortress	0.0627517
waterfall	0.0626491
passageway	0.0619202
cask	0.0617802
silo	0.0616498
stele	0.0613964
lagoon	0.0612935
cistern	0.0601879
hangar	0.0599763
outcroppings	0.0593709
sarcophagus	0.0591434
tomb	0.0586216
crater	0.0583167
walkway	0.058266
Monastery	0.0575724
culvert	0.0575603
bowel	0.0561304
ravine	0.0556298
Dome	0.0554129
dungeon	0.0554091
trench	0.0553414
Maze	0.0553067
fortification	0.0544578
pond	0.0543858
courtyard	0.0543336
"burial ground"	0.0542624
"pumping station"	0.052408
dune	0.051665
"blue whale"	0.0515558
"fiber optic cable"	0.0514925
"bomb shelter"	0.0510215
Fort	0.0508603
flats	0.0504859
chapel	0.0496892
plaza	0.049548
"storage tank"	0.0495393
hollow	0.0492402
fissure	0.0490725
chasm	0.0489594
"deposit box"	0.0489556
"fantasy world"	0.048549
edifice	0.0483421
Boulder	0.0482432
mausoleum	0.0482427
ledge	0.0481569
"septic tank"	0.0480654
storehouse	0.0478654
hovel	0.0476664
"back room"	0.0473563
basin	0.0473143
Castle	0.0470758
"no man's land"	0.0469694
shaft	0.0469227
"Golden Gate Bridge"	0.0467322
Marsh	0.0465308
den	0.0464083
cellblock	0.0462669
"bank vault"	0.0460915
riverbed	0.0460706
slab	0.0459091
"exhibition hall"	0.0455838
"sand dune"	0.0454366
"body of water"	0.0454313
stairwell	0.045381
sediment	0.0452212
archway	0.0451032
pasture	0.0450423
Igloo	0.0448408
urn	0.0448236
sinkhole	0.0447017
gorge	0.0445658
"copper mine"	0.0444571
monolith	0.0442619
cliff	0.0442418
glacier	0.0438255
expanse	0.0438152
"Gorges Dam"	0.043804
depot	0.0435291
barn	0.0433274
Patagonia	0.0433252
fossil	0.0433175
terrace	0.0432736
hut	0.0431908
pantry	0.0431654
enclosure	0.042986
kiln	0.0429849
arch	0.0429302
pothole	0.0428491
grassland	0.0426693
pyramid	0.0425359
"piece of land"	0.0424605
sanctuary	0.0423626
dwelling	0.0423172
storeroom	0.0422538
"water table"	0.0419624
"file cabinet"	0.041751
granule	0.0416894
"storage area"	0.0414678
auditorium	0.0414636
Cairn	0.0413556
shack	0.0413549
compartment	0.0412909
cottage	0.0412703
hallway	0.041217
crevasse	0.041192
Wetland	0.0411504
Crypt	0.0411365
Stairway	0.0409748
nook	0.0409561
tract	0.0409238
"subway station"	0.040877
Obelisk	0.0407782
bookcase	0.0405463
patio	0.0405236
"gas line"	0.0404694
hideout	0.0403979
cofferdam	0.0403685
"drainage system"	0.0403502
reef	0.0403204
"about @@ km"	0.0402243
cage	0.0401017
))
(caviar (desc 15658.9) (sims
cheese	0.125421
"smoked salmon"	0.117353
"foie gras"	0.116072
oyster	0.112619
truffle	0.112103
shrimp	0.110923
meat	0.108963
seafood	0.108057
mushroom	0.104728
wine	0.10403
fruit	0.102754
pistachio	0.101571
vegetable	0.100705
chocolate	0.0997466
coffee	0.0981875
sausage	0.0981417
beef	0.0976155
sturgeon	0.0972732
fish	0.0957998
salmon	0.0954119
"goat cheese"	0.0939039
"sour cream"	0.0936169
horseradish	0.0928352
lobster	0.0927047
tomato	0.0924919
pork	0.0917638
steak	0.0914088
crab	0.0913741
"whipped cream"	0.0901917
yogurt	0.089829
onion	0.0890476
butter	0.0886998
chicken	0.0883192
mayonnaise	0.0879208
"dried fruit"	0.0872148
milk	0.0865442
scallop	0.0865237
ham	0.0865198
egg	0.0864761
clam	0.0862821
salad	0.0856131
bean	0.0854758
tuna	0.0849761
champagne	0.0844096
fraiche	0.0843499
"peanut butter"	0.0841396
sugar	0.0841151
biscuit	0.0835491
sauce	0.0829441
"fresh fish"	0.0824407
"tomato sauce"	0.0823635
olive	0.0821235
sardine	0.0818136
"gefilte fish"	0.0816438
"ice cream"	0.0815597
Roe	0.0814561
Beer	0.0810736
pasta	0.08056
food	0.0804966
honey	0.0797775
potato	0.0797682
rice	0.0796711
sorbet	0.0789645
cocoa	0.0789528
mustard	0.0782501
parsley	0.0781368
banana	0.0776833
"orange juice"	0.0770613
foodstuff	0.0770561
cashew	0.0765892
flour	0.0763576
"olive oil"	0.0761843
cake	0.0759438
cream	0.0759385
tea	0.0757616
soup	0.0756054
mussel	0.0755854
poultry	0.0753796
eel	0.0753564
bread	0.0751286
"cooking oil"	0.0747549
Parmesan	0.0741284
cocaine	0.0734561
"sea food"	0.0732757
peanut	0.0729507
salt	0.0728476
candy	0.0727581
popcorn	0.0726754
"pine nut"	0.0726709
Garlic	0.0726423
"dairy product"	0.072625
bacon	0.0723423
cereal	0.0722511
salsa	0.0721697
oil	0.0719735
asparagus	0.0719484
syrup	0.0717658
juice	0.0716781
"wheat flour"	0.0716714
liquor	0.0715244
"cream cheese"	0.0705405
TARTARE	0.070355
grain	0.0700792
vinegar	0.0698049
pizza	0.0697451
"palm oil"	0.0696298
Chili	0.0685966
vanilla	0.0685091
sushi	0.0682912
lettuce	0.068085
grape	0.06804
risotto	0.0680126
"cashew nut"	0.0679711
shellfish	0.0675499
pepper	0.0673343
Hamburger	0.0672655
wheat	0.0671412
"coffee bean"	0.0670419
"potato salad"	0.0667701
Cognac	0.0666585
"hot dog"	0.0665476
"vegetable oil"	0.0664959
vodka	0.0659903
sandwich	0.0659702
jelly	0.0658002
noodle	0.065704
heroin	0.0657033
anchovy	0.0656255
powder	0.0654779
coconut	0.0654059
tequila	0.0654016
nut	0.0653871
almond	0.0650382
seasoning	0.0649496
corn	0.0648306
apple	0.0648192
Catfish	0.0647286
spinach	0.0645694
ginger	0.0645391
guacamole	0.0645341
raisin	0.0642212
goods	0.064169
newsprint	0.0641293
"food product"	0.064064
Chardonnay	0.0634903
"red wine"	0.0633221
berry	0.0632449
"crude oil"	0.063158
gasoline	0.0630277
peach	0.0628687
Basil	0.062859
"lime juice"	0.0628511
mint	0.0628035
wool	0.0627627
fudge	0.0626912
marijuana	0.0625777
maize	0.0625652
cooky	0.062327
molasses	0.0622782
"heavy cream"	0.0622769
"sparkling wine"	0.0621201
cucumber	0.0620439
"white wine"	0.0619986
dessert	0.0618937
lamb	0.0616956
hazelnut	0.0614723
carpet	0.0614303
ketchup	0.0613093
khat	0.0613061
cotton	0.06129
"chicken salad"	0.0612849
prawn	0.0609733
brandy	0.0609185
herb	0.0607613
"raw material"	0.0607072
rum	0.0604828
spice	0.0604075
handicraft	0.0603758
Cabernet	0.0602855
"powdered milk"	0.0601848
"cold cuts"	0.06003
crumb	0.0599936
vinaigrette	0.0598393
quiche	0.0598274
cabbage	0.0596041
cement	0.0595432
cigarette	0.0595394
"mineral water"	0.0595159
"consumer goods"	0.0593546
paprika	0.0592688
"fuel oil"	0.0591868
"sea bass"	0.0591218
seaweed	0.0590251
cracker	0.0588394
timber	0.0588276
grapefruit	0.0587995
tortilla	0.0587406
flower	0.0586276
abalone	0.0584946
cinnamon	0.0584879
))
(cavity (desc 10058.2) (sims
tumor	0.063004
vein	0.062261
breast	0.0603398
compartment	0.0593398
"blood vessel"	0.0588939
crevice	0.0585419
attics	0.0584366
artery	0.0579829
membrane	0.0569482
"skin cancer"	0.05672
drawer	0.0561534
"hole in the ground"	0.0557089
uterus	0.0554318
infection	0.0554101
lesion	0.0550352
nostril	0.0548105
fibroids	0.0545742
tissue	0.0532994
pore	0.0526639
lobe	0.0524158
bloodstream	0.0523265
inflammation	0.0517133
saucepan	0.0516056
pan	0.0515736
layer	0.0513431
skillet	0.0508791
crate	0.0507721
"mixing bowl"	0.0506958
fridge	0.0505242
tube	0.0501722
envelope	0.0500253
vertebra	0.0499765
trunk	0.0499263
lung	0.0498427
"paper bag"	0.0496604
briefcase	0.0496469
backpack	0.0488864
Tooth	0.0488258
closet	0.0484199
crater	0.04811
pipe	0.0480543
joist	0.047938
indentation	0.0479307
lining	0.047801
cylinder	0.0477213
suitcase	0.0475918
abnormality	0.0474497
vertebrae	0.0474363
pantry	0.0474044
clot	0.047197
jar	0.0471466
"tooth decay"	0.0468046
"shopping cart"	0.0467904
tortilla	0.0467648
skull	0.046647
aneurysm	0.0458946
insides	0.0458231
stomach	0.0455396
pouch	0.045539
folder	0.04521
crust	0.0452002
"display case"	0.0451809
enclosure	0.0451531
abdomen	0.045151
hernia	0.0449724
insulation	0.0448869
incision	0.0448302
pot	0.0446642
freezer	0.0443324
fissure	0.0437986
Bin	0.0435751
Casserole	0.0435259
cooker	0.0434536
cage	0.043337
cave	0.0431624
ailment	0.0431217
trench	0.0430367
bucket	0.0430365
polyp	0.042967
sore	0.0429443
"time capsule"	0.0424892
nest	0.0424557
"lung cancer"	0.0422032
chest	0.0421786
cataract	0.0421492
circuitry	0.0420865
bladder	0.0418347
melanoma	0.0415453
ulcer	0.041346
gallstone	0.0410246
packet	0.0409516
duct	0.0407522
liver	0.040663
"nooks and crannies"	0.0405798
riverbed	0.0405424
"cardiovascular disease"	0.0404331
apnea	0.0404003
wheelbarrow	0.040261
"shopping bag"	0.0402434
syphilis	0.0400935
))
(Cavs (desc 3045.92) (sims
"Tar Heels"	0.16833
sixer	0.156817
gamecock	0.153924
Sonics	0.150137
MetroStars	0.144304
terrapin	0.144154
"Cleveland Cavaliers"	0.137043
Boilermakers	0.136962
Huskers	0.131004
Sooners	0.127912
Mavs	0.127593
wildcat	0.125522
Canuck	0.122355
Jayhawks	0.122271
NAU	0.118645
Steelers	0.117248
Springbok	0.117208
"Fighting Irish"	0.116818
"Crimson Tide"	0.116664
Bengals	0.116286
grizzly	0.116213
"Team USA"	0.11402
Celtics	0.113917
"blue devil"	0.113557
cavalier	0.112909
matador	0.112814
UNT	0.112189
Hawkeyes	0.111082
Minutemen	0.110997
Blackhawks	0.110645
"Minnesota Timberwolves"	0.110236
Hornet	0.109947
Starzz	0.108623
"Trail Blazers"	0.107953
Bucs	0.107861
buckeye	0.107605
Timberwolves	0.10757
"Los Angeles Galaxy"	0.10725
maverick	0.106917
"Dallas Burn"	0.106884
Seahawks	0.106813
UAB	0.106811
charger	0.106762
Razorback	0.106626
Raptor	0.106155
clipper	0.106082
Lobos	0.105934
K-State	0.10568
Raven	0.10476
OSU	0.104673
pacer	0.103568
Wolfpack	0.103338
"Phoenix Mercury"	0.103191
"Maple Leafs"	0.101575
Eagles	0.101293
UMass	0.099737
Illini	0.0997048
nugget	0.0992993
gopher	0.0992728
"Los Angeles Kings"	0.0991978
Cornhusker	0.0990594
"Scarlet Knights"	0.0990543
piston	0.0985442
oiler	0.0985347
bearcat	0.0983894
cougar	0.0976692
Gators	0.0975799
Trojan	0.0973615
Canadiens	0.097224
"Horned Frogs"	0.0970839
Hokies	0.0966763
BEARS	0.0961392
FSU	0.096112
panther	0.096099
UConn	0.0958092
blazer	0.0957868
"Red Storm"	0.0957031
Pepperdine	0.0956387
Sparks	0.0955732
UTA	0.0951363
"Washington Redskins"	0.0948875
CSUN	0.0946971
BUCCANEER	0.0945402
"yellow jacket"	0.0943521
Uri	0.0942793
"Philadelphia Flyers"	0.093472
niner	0.0933153
bulldog	0.09237
Vols	0.0922519
"Carolina Panthers"	0.0921155
Lakers	0.0921149
"San Diego Chargers"	0.0921125
"Red Star"	0.091778
"Red Wings"	0.0911905
Av	0.0909985
BYU	0.0909435
UA	0.090294
LSU	0.0899746
Hofstra	0.0898794
Longhorn	0.0894901
MSU	0.0888309
Rattler	0.0888269
bruin	0.0887202
"Indianapolis Colts"	0.0885176
sabre	0.0882037
"Tennessee Titans"	0.0881024
Giants	0.0877317
ASU	0.0877188
"Nittany Lions"	0.0873489
"Miami Heat"	0.0872727
Fordham	0.0872418
"Iowa State"	0.0872104
PSG	0.0871434
Padre	0.0870808
Hoosier	0.0867111
"New York Giants"	0.0866319
Unh	0.0864567
husky	0.0861865
"New York-New Jersey MetroStars"	0.0860032
"Penn State"	0.0856151
Inter	0.085588
"New York Jets"	0.085499
"Phenix City"	0.0854897
packer	0.0854411
Seminoles	0.0851839
"Red Raiders"	0.0851503
islander	0.085069
Orioles	0.0847671
Redskin	0.0844754
"Milwaukee Bucks"	0.0843677
"Nashville Predators"	0.0842516
"Toronto Maple Leafs"	0.0842466
ou	0.0842012
USC	0.0841424
"Dallas Cowboys"	0.084083
Spartan	0.0838728
diamondback	0.0838592
Knicks	0.0836607
Phillies	0.0835381
"White Sox"	0.0834043
Gonzaga	0.083384
Bayern	0.0832951
"Miami Dolphins"	0.0832786
"Buffalo Bills"	0.0832444
"Chicago Bulls"	0.0831055
falcon	0.083017
Aggies	0.0830103
"Seattle SuperSonics"	0.0825012
"New Jersey Nets"	0.0824849
Wolverine	0.0821589
Viking	0.0818131
"Los Angeles Lakers"	0.0815563
dodger	0.0813634
ASTROS	0.081247
"Tampa Bay"	0.0810677
badger	0.0803336
cardinal	0.0803202
"Green Bay Packers"	0.0802152
wallaby	0.0798571
hawk	0.0797302
"Ohio State"	0.0795596
Stephenville	0.0793067
thrasher	0.079239
"Boston Bruins"	0.079171
"Chicago Bears"	0.0788521
"Charlotte Hornets"	0.0788308
Tulane	0.0788025
flyer	0.0786693
"Indiana Pacers"	0.0784107
Sacramento	0.078316
Sautin	0.0779789
raider	0.0777788
"Seton Hall"	0.0777169
"Detroit Tigers"	0.0775837
mariner	0.077512
"Red Sox"	0.0770745
AEK	0.0770044
Carolina	0.077003
Polgar	0.0769704
"Golden Hurricane"	0.0768531
Utes	0.0767158
Edmonton	0.0766107
"Minnesota Vikings"	0.076607
"Golden State"	0.0764896
"Cincinnati Bengals"	0.0764373
"Brooklyn Dodgers"	0.0764237
"Michigan State"	0.0763293
Baylor	0.076322
"Pittsburgh Steelers"	0.0762588
"Oakland Raiders"	0.076241
penguin	0.0758788
"Toronto Raptors"	0.0756893
"Anaheim Mighty Ducks"	0.0756416
"blue jay"	0.0756316
Atletico	0.0755468
"San Diego Padres"	0.0754426
"Southwest Missouri State"	0.0754406
wizard	0.0752509
"D.C. United"	0.0751757
"Houston Comets"	0.0751639
))
(Cayard (desc 4585.38) (sims
"Paul Cayard"	0.247988
Coutts	0.11252
"Francesco de Angelis"	0.107636
Solis	0.104515
AmericaOne	0.103544
Conner	0.10221
"Young America"	0.101663
"America True"	0.0956614
Solich	0.0948032
Soldini	0.0915101
Herta	0.0888164
Jacquet	0.0851516
Brack	0.0847165
Golding	0.0820614
Ganassi	0.080504
Irvan	0.0795846
Autissier	0.0794766
"New York Yacht Club"	0.0791584
Rahal	0.077972
Ellison	0.0765249
Paterno	0.0758172
Labonte	0.0754798
Wilkens	0.0736241
Schmid	0.0733373
Prada	0.0726372
Piot	0.0701643
Calhoun	0.0696713
Riley	0.0685922
Antley	0.0685125
Atler	0.0679664
Capps	0.0679423
Hoddle	0.0678902
Choi	0.0678616
Finkel	0.0676416
Golota	0.0668825
Whitsitt	0.0666995
Kenseth	0.0664359
Kearin	0.0662951
Mandella	0.0659971
Heinrichs	0.0658214
Mullin	0.0651167
Azinger	0.0648554
Pruett	0.0647684
Sahadi	0.064533
Gogel	0.064259
Taufik	0.0640787
Fossett	0.0639185
McCarron	0.0638351
Gossage	0.063711
Ferraro	0.0635254
Rove	0.0635247
Ainge	0.0635016
Crenshaw	0.0631735
Quartey	0.0629905
Olsen	0.0629336
Aliotti	0.0625624
"Luna Rossa"	0.0623855
Samuelson	0.0623229
Ruehe	0.0621971
Coffey	0.0621624
Goldin	0.0621309
"Dennis Conner"	0.0619344
Waltrip	0.0618834
Bowden	0.0618235
Frenchman	0.0616162
Guthridge	0.0615489
Branson	0.0614991
Prewitt	0.0611739
Daft	0.0611302
Earnhardt	0.0608073
Passarella	0.0607717
Westphal	0.0607689
Shackleton	0.0607305
Sampson	0.0607155
Mauro	0.0605235
"Team New Zealand"	0.0600055
Zanardi	0.0599471
Romanowski	0.0597221
O'Leary	0.0597219
Evernham	0.0597058
Copeland	0.0595543
beamer	0.0592066
Ebbers	0.0591188
Nicol	0.0591151
Aleman	0.0590183
Monson	0.0589009
Tagliabue	0.0588595
Haarhuis	0.0588534
Fassel	0.0588416
Rambis	0.0587953
Khannouchi	0.0586551
Begala	0.0585296
Sherrill	0.058365
Insulza	0.0581265
Ebersol	0.0581262
Vasser	0.058079
Kennelly	0.0579512
Ayala	0.0579035
Ditka	0.0578564
Desormeaux	0.0578534
Wannstedt	0.0577634
Montoya	0.0574896
Hauser	0.0573614
Hirsch	0.0573529
Tuberville	0.0570194
Pantani	0.0569879
Bettman	0.0569017
Menard	0.0568099
Pfeiffer	0.0565303
Meriwether	0.0563572
Gimelstob	0.0562356
Donohue	0.0561558
Okada	0.0560835
Penske	0.0559624
"Van Gundy"	0.0557358
Baca	0.055413
"Stars and Stripes"	0.0553738
Schmitt	0.0553374
Baird	0.0552364
Herron	0.0551694
Olowokandi	0.0551651
Fulmer	0.055077
Paxon	0.0549892
Fleisher	0.0549139
Freedman	0.0547229
Gillick	0.0547037
Lasorda	0.0546669
Tapia	0.0545162
skipper	0.0543908
Braswell	0.0543292
Berenson	0.0543091
McMullen	0.0542746
Armstrong	0.0542404
Dickson	0.0542154
Hakkinen	0.0541862
Tubbs	0.0541631
Weinke	0.0541019
Boyle	0.054063
Rosenthal	0.0540512
Hornaday	0.0540474
Torre	0.0539549
Cheever	0.05383
Cooley	0.0537828
Pitino	0.0537658
Franchione	0.0536446
Foyt	0.053582
Caddell	0.0535249
Mullen	0.0534986
Woodard	0.0534884
Cashman	0.0533785
Reimer	0.0533745
Barlow	0.0532467
Wald	0.0532203
Sharpe	0.0531407
Mariucci	0.0529992
Cowher	0.0528907
Nippon	0.0527995
DeBerg	0.0527739
Elie	0.052754
Krzyzewski	0.0527514
Ibarra	0.0527026
Tomjanovich	0.052621
Guerra	0.0525544
Schumacher	0.0525026
Beazley	0.0524926
"De La Hoya"	0.0524759
Hartsburg	0.0524389
Feng	0.0524302
Ammiano	0.052393
Lemieux	0.0523582
rudd	0.0523471
Dodd	0.0522899
Kagwe	0.0522398
Colangelo	0.0521898
Schmidt	0.0521565
Mayfield	0.0520505
Bodine	0.0520369
Giordano	0.0519755
Smyers	0.0519181
Sanchez-Vicario	0.0518395
Camacho	0.0517469
Muckler	0.0517013
Ponciano	0.0516803
Hagel	0.0516108
Connerly	0.0515971
Osborne	0.051582
Rosenblatt	0.0515353
Gullikson	0.0514714
Boucher	0.0514588
Weldon	0.0514109
Gauthier	0.0513478
Pincay	0.0512231
Sather	0.0511885
Tarawneh	0.0511688
Messier	0.0511198
Groh	0.0510527
Summitt	0.0510484
Yzerman	0.0510381
Biffle	0.0510238
Safir	0.0509471
))
(cayenne (desc 5351.58) (sims
"cayenne pepper"	0.463027
cumin	0.44608
allspice	0.37778
nutmeg	0.374599
"chili powder"	0.373676
oregano	0.37319
turmeric	0.363062
"black pepper"	0.349825
"white pepper"	0.3415
paprika	0.338384
coriander	0.325897
thyme	0.299895
cardamom	0.292354
"curry powder"	0.288204
cinnamon	0.286717
"lemon juice"	0.283565
"pepper sauce"	0.280002
"Worcestershire sauce"	0.273484
"lime juice"	0.272589
salt	0.267733
"cumin seed"	0.261496
ginger	0.254396
mustard	0.251788
"lemon zest"	0.248241
pepper	0.246152
"seasoned salt"	0.239758
clove	0.23908
flake	0.238515
Garlic	0.238022
"red pepper"	0.237901
"garlic salt"	0.236408
"bay leaf"	0.236014
"baking powder"	0.235402
"mustard seed"	0.232899
cilantro	0.226725
vinegar	0.226519
saffron	0.22278
parsley	0.219859
"Tabasco sauce"	0.219561
marjoram	0.218894
"soy sauce"	0.21531
"brown sugar"	0.215059
"baking soda"	0.211633
peppercorn	0.206762
"fennel seed"	0.206184
tarragon	0.205411
chilies	0.205227
dill	0.203974
"almond extract"	0.203904
shallot	0.199706
rosemary	0.19948
Basil	0.198101
"celery seed"	0.196166
mace	0.19616
jalapeno	0.196105
"hot sauce"	0.195959
Tabasco	0.195584
cornstarch	0.194381
horseradish	0.188
"coriander seed"	0.186364
"olive oil"	0.185979
"sesame oil"	0.184487
"wine vinegar"	0.18009
"vanilla extract"	0.172619
"green onion"	0.172272
"chili pepper"	0.169349
chive	0.160689
powder	0.160687
"hot pepper"	0.159325
scallion	0.155382
"orange zest"	0.154779
"pine nut"	0.154598
anise	0.153861
"red onion"	0.153663
vanilla	0.152698
seasoning	0.152576
"tomato paste"	0.150598
"coconut milk"	0.150299
"sesame seed"	0.150105
onion	0.149478
"star anise"	0.148433
"lemon peel"	0.146913
honey	0.142714
mint	0.140733
"bell pepper"	0.140698
Sage	0.140484
chervil	0.139041
sugar	0.136859
tahini	0.136211
chiles	0.13608
fennel	0.134948
anchovy	0.131815
"egg yolk"	0.129474
lemongrass	0.126333
"orange peel"	0.125297
mayonnaise	0.124535
paste	0.124482
butter	0.123259
lemon	0.122723
"orange juice"	0.122308
cornmeal	0.120923
spice	0.118541
"beef stock"	0.117376
"maple syrup"	0.11517
tomato	0.115017
lime	0.112374
half-and-half	0.112286
caper	0.111894
"chili sauce"	0.111528
flour	0.111437
herb	0.108413
"sour cream"	0.107951
"green pepper"	0.107929
breadcrumb	0.107902
pinch	0.107382
Parmesan	0.106449
"tomato juice"	0.105294
prosciutto	0.104235
Chili	0.103784
flavoring	0.103309
crumb	0.101466
"cider vinegar"	0.101072
"tomato sauce"	0.100688
zest	0.100379
ketchup	0.0997903
"poppy seed"	0.0993542
sherry	0.099194
cheese	0.0987101
buttermilk	0.097328
raisin	0.0955907
Chipotle	0.0953559
"evaporated milk"	0.0934381
celery	0.0926232
sauce	0.0924448
olive	0.0908277
Serrano	0.0902391
"vegetable oil"	0.0902301
"vanilla bean"	0.0892283
molasses	0.0885513
"hoisin sauce"	0.0871516
yeast	0.0864785
soy	0.0853616
pimento	0.0841642
"heavy cream"	0.0836275
"chicken stock"	0.0824125
cocoa	0.0816578
tomatillo	0.0813818
juice	0.0813203
carrot	0.081005
"goat cheese"	0.0799909
teaspoon	0.0794522
zucchini	0.0780549
sprig	0.0779561
watercress	0.0777489
coconut	0.0776937
mushroom	0.0776686
almond	0.0775865
yogurt	0.0770046
"garlic clove"	0.0768595
"chicken broth"	0.0765774
cream	0.0765694
"grated cheese"	0.0763744
"food coloring"	0.0759971
shortening	0.074844
Gorgonzola	0.0748304
"corn syrup"	0.0744528
chutney	0.0733497
milk	0.0732839
syrup	0.0726946
avocado	0.072685
pickle	0.0723647
arugula	0.0704921
curry	0.0700461
eggplant	0.0700283
"black olive"	0.0700224
cucumber	0.0695378
nut	0.0694082
gelatin	0.0684842
savory	0.068428
yolk	0.0683749
"peanut oil"	0.0680849
walnut	0.0674011
"blue cheese"	0.0672338
"condensed milk"	0.0667802
FETA	0.0667107
salami	0.0662736
puree	0.066024
Tamarind	0.0659408
citrus	0.0653053
pesto	0.064969
Mayo	0.0648868
vinaigrette	0.0648767
broth	0.0648591
lentil	0.0646101
"white wine"	0.0645552
"Grand Marnier"	0.0643577
Liquid	0.0642784
leek	0.0639677
ricotta	0.0637374
"winter squash"	0.0632559
))
("cayenne pepper" (desc 3761.04) (sims
"white pepper"	0.469114
cayenne	0.463027
"chili powder"	0.390936
"black pepper"	0.388914
cumin	0.369645
paprika	0.368643
"cumin seed"	0.36623
"curry powder"	0.355678
turmeric	0.344868
oregano	0.33379
"Worcestershire sauce"	0.329878
"garlic salt"	0.32712
nutmeg	0.318708
allspice	0.318549
"baking powder"	0.315867
"Tabasco sauce"	0.314704
"pepper sauce"	0.311857
"fennel seed"	0.29177
"seasoned salt"	0.289914
"celery seed"	0.28388
coriander	0.281404
"baking soda"	0.276282
"vanilla extract"	0.265412
"almond extract"	0.264047
thyme	0.263938
cinnamon	0.258119
"lemon juice"	0.253263
salt	0.252543
flake	0.250866
"mustard seed"	0.247961
"coriander seed"	0.23446
"sesame oil"	0.234368
pepper	0.226061
"soy sauce"	0.222944
marjoram	0.222124
peppercorn	0.220821
"lemon zest"	0.21698
parsley	0.213606
mustard	0.211845
vinegar	0.206064
"bay leaf"	0.203896
"lime juice"	0.202042
"red pepper"	0.201108
ginger	0.199354
clove	0.199284
"tomato paste"	0.1992
cornstarch	0.198172
cardamom	0.197653
"wine vinegar"	0.194155
"hot sauce"	0.191694
powder	0.19097
Garlic	0.190506
"brown sugar"	0.189507
saffron	0.188424
"orange zest"	0.180452
tarragon	0.179387
"cider vinegar"	0.179008
cilantro	0.17862
"olive oil"	0.1779
horseradish	0.177793
Tabasco	0.176965
vanilla	0.175401
mace	0.174367
seasoning	0.173572
"sesame seed"	0.166035
shallot	0.161117
Basil	0.160546
tahini	0.15927
rosemary	0.158064
sugar	0.151729
chive	0.151159
"hot pepper"	0.149337
cornmeal	0.139099
honey	0.133824
chilies	0.13031
mayonnaise	0.128094
paste	0.119504
gelatin	0.117163
"vegetable oil"	0.116309
flavoring	0.116034
butter	0.115586
mint	0.115383
"pine nut"	0.114751
dill	0.114627
onion	0.113716
"green onion"	0.112995
spice	0.11112
caper	0.111094
"chili pepper"	0.109484
jalapeno	0.109019
"star anise"	0.107846
buttermilk	0.107479
"peanut oil"	0.107228
scallion	0.107013
"green pepper"	0.105519
"maple syrup"	0.104954
"sour cream"	0.104921
anise	0.104703
Sage	0.103683
flour	0.102892
"orange juice"	0.101058
raisin	0.099408
"corn syrup"	0.0989849
"poppy seed"	0.0980872
"coconut milk"	0.0967276
"red onion"	0.0963616
"heavy cream"	0.0962329
Parmesan	0.0953985
sherry	0.0953542
Chili	0.0943491
celery	0.093778
chiles	0.0933051
"chili sauce"	0.0917209
"egg yolk"	0.0908582
molasses	0.0906934
"hoisin sauce"	0.0877479
cheese	0.0858002
yogurt	0.0855349
fennel	0.0848983
kosher	0.0848806
herb	0.0844634
"cooking oil"	0.0836403
cocoa	0.0827172
yeast	0.0817516
pinch	0.0813293
"chicken broth"	0.0812917
olive	0.0810191
almond	0.0800516
"food coloring"	0.0797954
anchovy	0.0789164
"orange peel"	0.0780524
zest	0.0778854
shortening	0.077224
"bell pepper"	0.0768405
lemongrass	0.0768107
tomato	0.0766406
coconut	0.0765482
breadcrumb	0.0762542
ketchup	0.0757022
"pineapple juice"	0.0754111
margarine	0.0753138
fraiche	0.0747326
chutney	0.0743261
sauce	0.0742374
lime	0.0736727
"evaporated milk"	0.0729435
lemon	0.0727348
"beef stock"	0.0715415
"tomato sauce"	0.0715084
cream	0.0712608
leek	0.0710817
crumb	0.0701118
liqueur	0.0696731
chervil	0.0682164
half-and-half	0.0680847
"egg white"	0.0652283
"white wine"	0.0644774
zucchini	0.0640028
"cream cheese"	0.0639177
sprig	0.0637257
pesto	0.0635375
juice	0.0634988
rum	0.0632431
"garlic clove"	0.0630023
"snow pea"	0.0626371
starch	0.0624295
"grated cheese"	0.0623249
applesauce	0.0610239
"black olive"	0.0606501
"whipping cream"	0.0601419
"citric acid"	0.0596311
"tomato juice"	0.0595578
Or	0.0594615
lavender	0.0592082
"skim milk"	0.0587738
"peanut butter"	0.0587196
"Grand Marnier"	0.0586453
carrot	0.058185
"goat cheese"	0.0576702
eggplant	0.0568583
currant	0.0563986
tapioca	0.0562908
cucumber	0.0552956
syrup	0.0552593
"vanilla bean"	0.0550632
Chipotle	0.0550377
"chicken stock"	0.054462
citrus	0.0544549
arugula	0.0541463
spinach	0.0539611
"lemon peel"	0.0537666
Provence	0.0537021
puree	0.0535627
"bean sprout"	0.0525634
"water chestnut"	0.0519948
raspberry	0.0519674
"blue cheese"	0.0511603
radish	0.0511004
Calvados	0.050892
lettuce	0.050465
))
(cayman (desc 1295.6) (sims
"Cayman Islands"	0.125775
Cozumel	0.102188
baring	0.09347
"Cook Islands"	0.0746955
Ayatollah	0.0699779
Vanuatu	0.0656673
"Netherlands Antilles"	0.0635085
CANCUN	0.0626206
Takanohana	0.0602754
Menatep	0.0553029
Simons	0.0542577
Aruba	0.0532462
Tuvalu	0.0527299
ABSA	0.0517486
Benex	0.0513152
Azerbaijani	0.0504194
Samoa	0.0501191
Amelia	0.0499428
eroding	0.0492941
"British Virgin Islands"	0.0465863
Belarusian	0.0459785
"Midtown Manhattan"	0.0457276
Camerounian	0.0456995
generics	0.045146
inquisitor	0.044976
SunTrust	0.0449537
"other seven"	0.0445849
mufti	0.0443417
Salomon	0.044233
"Lagos State"	0.0441049
Bougainville	0.0441013
"high street"	0.0438869
NRM	0.0437347
"Diaoyu Islands"	0.0435901
"theatrical performance"	0.0433935
matzoh	0.0432513
"coffee bar"	0.0432436
CHEROKEE	0.0428041
LANIER	0.0427374
"D.R Congo"	0.0427281
"over four"	0.0425535
Zairian	0.0424336
apex	0.0423514
"Outer Banks"	0.0420386
Dresdner	0.0419837
Batam	0.0418827
Solomons	0.0418184
fuzz	0.0415875
Botswanan	0.0415506
CBK	0.0412205
"Andean Group"	0.0411534
"St. Thomas"	0.0411343
"Virgin Islands"	0.0408673
Malvinas	0.0407998
Maltese	0.0406464
Jekyll	0.0406035
remaking	0.0404622
"prayer meeting"	0.0401475
Mayflower	0.0401467
))
("Cayman Islands" (desc 4625.21) (sims
"British Virgin Islands"	0.135524
Bahamas	0.133603
Barbados	0.129995
"Netherlands Antilles"	0.126708
cayman	0.125775
Antigua	0.121156
Bermuda	0.113643
Dominica	0.112733
"Channel Islands"	0.110747
Aruba	0.100249
"St. Vincent and the Grenadines"	0.0978897
"Dominican Republic"	0.0940979
"Trinidad and Tobago"	0.0907936
Luxembourg	0.0907528
Suriname	0.0892122
Panama	0.0855839
Switzerland	0.083399
"Puerto Rico"	0.0824457
Gibraltar	0.0802822
"Cook Islands"	0.0774024
"St. Kitts and Nevis"	0.0773528
Iceland	0.0771287
Anguilla	0.0766957
Sunnyvale	0.0758563
"Costa Rica"	0.0743828
Grenada	0.0729567
Guam	0.0727926
Haiti	0.0724354
Jamaica	0.0719544
"Virgin Islands"	0.0705195
Liechtenstein	0.0702392
Montserrat	0.0700434
"St. Lucia"	0.0677583
Seychelles	0.0663203
Nauru	0.0658898
Belize	0.0657787
Guyana	0.0655106
Malta	0.0643535
CANCUN	0.0642096
Harrisburg	0.0627429
"Fort Lee"	0.0626827
Honduras	0.0617433
Martinique	0.0617264
Mauritius	0.0603188
Nicaragua	0.0600388
"U.S. Virgin Islands"	0.0595361
"El Salvador"	0.0590951
"Pudong New Area"	0.0572959
Fiji	0.0567637
Emeryville	0.0565944
Morristown	0.0556919
Guatemala	0.0556296
Senegal	0.0554732
"United Arab Emirates"	0.0549404
Ghana	0.0544328
Estonia	0.0535863
Ecuador	0.0533919
Finland	0.0530021
Laos	0.0526358
"Papua New Guinea"	0.052433
Cupertino	0.0524264
Surinam	0.0520868
"Palm Beach County"	0.0518852
Bolivia	0.0517709
Tahiti	0.0516306
Moldova	0.0510985
Labuan	0.0510403
Sausalito	0.0509115
Hispaniola	0.050902
Mongolia	0.0507794
Tonga	0.0505187
Macau	0.050518
"Redwood City"	0.0503769
"Antigua and Barbuda"	0.0500197
"Sao Paulo"	0.0494478
Kirghizstan	0.0493811
"Palo Alto"	0.0488777
Tianjin	0.0486735
"The Netherlands"	0.0483663
RSA	0.0479642
"Central African Republic"	0.0477464
Armenia	0.0474353
Brunei	0.0472338
Reston	0.0471066
Trinidad	0.0467695
"United Kingdom"	0.046533
Andover	0.046523
"Boca Raton"	0.0464143
"Myrtle Beach"	0.0463732
Samoa	0.0461967
Vanuatu	0.0461414
Burma	0.0460511
Oman	0.0459408
SDPC	0.0458802
Latvia	0.0455857
"Boynton Beach"	0.0452173
Cozumel	0.0451421
Stamford	0.0451419
Tbilisi	0.0449895
Englewood	0.0449372
Hangzhou	0.044874
Pudong	0.0448655
Burlingame	0.0447881
"La Jolla"	0.0446436
Slovenia	0.0445756
Andorra	0.0445719
Tunisia	0.0444458
"South San Francisco"	0.0443088
Mali	0.0441121
Maldives	0.0438169
Guinea-Bissau	0.0438152
Malawi	0.0436986
Watertown	0.0435124
"Cape Verde"	0.0433537
Namibia	0.0432403
Yaddo	0.0432149
Sichuan	0.0430774
Winston-Salem	0.0430592
Djibouti	0.043
Delaware	0.0429051
Benin	0.0428428
Uruguay	0.0427543
Zhongguancun	0.042641
"West Palm Beach"	0.0422051
Swaziland	0.0420449
curacao	0.0420443
"St. Kitts"	0.0417339
Gabon	0.0416431
Kyrgyzstan	0.0415662
Boise	0.0415335
Middletown	0.0414722
"Menlo Park"	0.0413515
Taipei	0.0413431
Honolulu	0.0412837
Menatep	0.041252
"Westlake Village"	0.0411956
Kazakstan	0.041175
Paraguay	0.0411391
Greenwich	0.0410552
"Mountain View"	0.0409647
"San Marino"	0.0407828
Wales	0.040748
Luxemburg	0.0406276
"Atlantic City"	0.0404403
BUDAPEST	0.040302
"Great Britain"	0.040191
"South America"	0.0401053
))
(Cayuga (desc 1373.17) (sims
Oneida	0.312995
Seneca	0.247459
Zhangbei	0.142046
Mendocino	0.118876
Broward	0.110274
"San Luis Obispo"	0.110236
Gwinnett	0.10606
Passaic	0.0997031
Miami-Dade	0.099237
Sussex	0.096531
Niagara	0.0962015
Forsyth	0.0929337
Rockland	0.0921323
Sioux	0.0894959
Cumberland	0.0888991
BLM	0.0880005
Essex	0.0872006
DeKalb	0.0864952
Mohawks	0.0859258
Alameda	0.0848253
Marin	0.0845638
Somerset	0.0828307
Maasai	0.0824929
CHEROKEE	0.0820876
Leavenworth	0.0808765
MACHIAVELLI	0.0801757
Middlesex	0.0779059
Monmouth	0.0764634
"San Bernardino"	0.0760855
Iroquois	0.0759735
Mohawk	0.0754611
state-level	0.0750879
Lijiang	0.0750693
Seminole	0.0734606
Rockdale	0.0725308
Bergen	0.0714859
Fulton	0.0712929
Navajo	0.070402
Erie	0.069975
Sonoma	0.0680775
Pickens	0.0667908
Hillsborough	0.0656695
Napa	0.0655427
Nassau	0.0644356
Burlington	0.0626335
"San Mateo"	0.0625837
Massport	0.0623138
Collier	0.0605732
Suffolk	0.0592435
non-Indian	0.0591161
"Central Valley"	0.058703
multimillion	0.0583898
manatee	0.0576016
Chatham	0.0569514
Hopi	0.0564123
glade	0.0550529
takings	0.0540209
wheeler	0.0520238
Gloucester	0.0518609
Benton	0.0517262
Beaufort	0.0508052
"Rodney King"	0.0499473
EBRD	0.0497871
Bekaa	0.0493005
Chautauqua	0.048595
"Bureau of Land Management"	0.0480678
Windham	0.0477077
Grady	0.0474837
Orleans	0.0472536
Denton	0.0462569
Shawnee	0.0458538
tort	0.0452659
Brunswick	0.0450757
peat	0.0449158
Sleepwalking	0.0448827
Guadalupe	0.0446181
"Jenny Jones"	0.0442019
"U.S. Forest Service"	0.0441101
Ozarks	0.0428859
Amazonian	0.0422479
SETTLES	0.041633
Rutherford	0.0415465
POLK	0.0414193
"Taklimakan Desert"	0.0409943
Cayugas	0.0409471
Xigaze	0.0406293
"Williamson County"	0.0401191
))
(Cayugas (desc 1582.67) (sims
Eappens	0.253775
Oneidas	0.18381
Harris-Lewis	0.155577
Murr	0.132938
Faulder	0.124675
"Marianne Gingrich"	0.124186
Katzenberg	0.120897
petitioner	0.113537
Liggett	0.112766
Idris	0.11175
Lindland	0.111647
"Russell Peeler"	0.106856
Sheinbein	0.103308
plaintiff	0.100865
Fagan	0.100361
Symington	0.100259
Mohawks	0.0984495
Abernathy	0.0975165
Kodikian	0.0968666
LeFave	0.0961807
Slaney	0.0958607
Lileikis	0.0947178
McGinn	0.0942597
Navajos	0.0933358
Dokmanovic	0.0930834
Caldera	0.0928904
McVeigh	0.0908616
Abu-Jamal	0.0901793
"Main Events"	0.089577
Whitacre	0.0895144
Neulander	0.0886262
"Paula Corbin Jones"	0.0886066
"Paula Jones"	0.0882607
Mudge	0.088179
"Legal Aid Society"	0.0879421
Qureshi	0.0869138
"Juan Miguel Gonzalez"	0.0867496
Harrelson	0.086586
Mapes	0.0865715
Alioto	0.0839395
Sweeting	0.0828867
Manbar	0.0825611
Kaczynski	0.082504
claimant	0.0821021
Markhasev	0.081305
"Brown &AMP; Williamson Tobacco Corp."	0.0786863
Schmitz	0.0786052
ACLU	0.0784975
Fortier	0.0781426
Choate	0.0777776
"Maturino Resendiz"	0.0777471
RIAA	0.0775668
Grossberg	0.0766177
"American Civil Liberties Union"	0.075652
McWilliams	0.0752532
policyholder	0.0751365
Papon	0.0745227
Jewell	0.0745175
Missourian	0.0745032
Nikitin	0.0737923
Pagones	0.0734779
Hiett	0.073153
Espy	0.0729746
Sheppard	0.0722102
Blackthorne	0.0712539
Jenoff	0.070896
Bedell	0.0708742
"Al Fayed"	0.0702163
cattlemen	0.0700276
KEVORKIAN	0.069941
Toysmart.com	0.0698176
Biskind	0.0695532
Paciello	0.0691765
Baumhammers	0.0689475
Vacco	0.0685487
Trantino	0.0682136
McGill	0.0681776
Tarver	0.0681284
"El Hage"	0.0679824
"Players Association"	0.0673743
Anelka	0.0673589
Matasareanu	0.0671164
Hirschfeld	0.0670288
Flemmi	0.0667879
Wendt	0.0662585
Demjanjuk	0.066191
"Brown &AMP; Williamson"	0.0661597
Robison	0.066054
Maharaj	0.0658283
"Jack Kevorkian"	0.065684
Cisneros	0.065511
"North Africans"	0.0654384
"Allied Pilots Association"	0.0653445
SSB	0.0650112
Callaghan	0.0647781
"Ruiz Massieu"	0.0647718
Haouari	0.0642529
Boehner	0.0641618
"Department of Public Safety"	0.0641412
autoworkers	0.0640347
Davidians	0.0639783
Lemieux	0.0638836
Parsons	0.0638137
Mattysse	0.0637945
Martorano	0.0636571
Utes	0.0636075
Lundy	0.0635237
Keating	0.0634793
Cleary	0.0633937
Spitzer	0.0632516
peeler	0.0630865
Bisek	0.0630703
Ramseys	0.0629757
Seneca	0.0628967
Krstic	0.0628954
Falater	0.0628953
"property owner"	0.0626957
Hoke	0.0626175
Karbaschi	0.0625311
Salemme	0.0625057
Sharma	0.0623355
Kimeses	0.0622722
Shayler	0.0618868
Kenna	0.061881
Priebke	0.061477
dale	0.0614597
Henley	0.0613475
Bruder	0.0613302
Kovacevic	0.0612503
McKinney	0.0611162
Sakic	0.0610866
"U.S. Immigration and Naturalization Service"	0.0609509
Berenson	0.0606183
complainant	0.0604791
Kurth	0.0604689
Gutman	0.0602761
Pirro	0.0602708
McMullen	0.0602571
"Federal Trade Commission"	0.0599682
Diaz	0.0598803
Bakaly	0.0597478
Gutierrez	0.0597358
"Dennis Vacco"	0.0596196
Sioux	0.0594902
Garofalo	0.0590221
Fassett	0.058991
Salomon	0.0589773
examinees	0.0586802
Spector	0.0584891
"Environmental Defense Fund"	0.0583402
Brownlee	0.0583161
Moceanu	0.0582885
McMellon	0.0581328
Al-Amin	0.0580106
Caddell	0.0579539
Romanowski	0.0575787
"Del Toro"	0.057549
Seminole	0.0575236
"Democratic Congressional Campaign Committee"	0.0575071
"State Farm"	0.0574789
FTC	0.0574675
Stayner	0.0573577
Coia	0.0572958
McDougal	0.0572033
Garza	0.0571544
Gauthe	0.0571416
Reilly	0.0570652
CBI	0.0570647
Faget	0.0567849
Lacresha	0.0566487
Merlino	0.0566396
Smaltz	0.0566009
storey	0.0565796
"Wen Ho Lee"	0.0565307
Howell	0.0565216
"Lazaro Gonzalez"	0.0564488
Penders	0.0561063
"Louise Woodward"	0.0560456
Gangelhoff	0.055908
"Juan Miguel"	0.0556437
"Branch Davidians"	0.0554171
Adair	0.0552375
Sanan	0.0552037
Baumann	0.0551712
"David Graham"	0.0550371
"Vincent Foster"	0.0549204
"Natural Resources Defense Council"	0.0549004
Rosario	0.0546786
Quokka	0.0546107
"Albert Pirro"	0.0545996
Akayesu	0.054592
Yoo	0.0545915
"National Association"	0.0544362
Beckwith	0.0543906
Olson	0.0542252
"Recording Industry Association of America"	0.0541428
"tobacco industry"	0.0541365
Brazill	0.054076
Soliah	0.0540559
Noriega	0.0540166
))
(CB (desc 3083.98) (sims
cph	0.0901242
cb-parf	0.079686
ad/ls	0.0791312
parf-ip	0.0749899
parf-dgs	0.073735
GB	0.072695
acw	0.0700761
ad/ji	0.0660483
djw	0.0647554
vls	0.0624619
Ji	0.0621194
JH	0.0592329
aos	0.0586188
mb	0.0577458
ad/adc	0.0562757
FD	0.0562217
SP	0.0561551
TC	0.0541039
vi/gm	0.0521115
JC	0.0508986
ae	0.0506526
jc/bk	0.0492925
scl	0.0482242
MJ	0.0479809
sms/ji	0.0478105
"Israeli Army"	0.0472858
MC	0.046556
"high frequency"	0.0452543
tsc	0.0448378
JAI	0.0436641
JT	0.0428603
sms/adc	0.0423018
"East African Standard"	0.0415334
pvs	0.0414788
"Ethiopian Herald"	0.0407855
))
(cb-parf (desc 1665.52) (sims
cph	0.143896
vi/gm	0.119863
parf-ip	0.118825
parf-dgs	0.111946
SP	0.111655
mj-kg	0.104455
FD	0.101391
nw/gm	0.0995458
acw	0.0944297
ad/ls	0.0935735
sms/ji	0.0930856
TC	0.0916783
aos	0.088906
scl	0.0872282
djw	0.0801443
sf	0.0798899
CB	0.079686
ad/gm	0.0792334
GB	0.0791569
MJ	0.0784956
SW	0.072249
JC	0.0694724
ad/adc	0.0686523
"U.S. Labor Department"	0.0672965
ad/ji	0.0668746
"Islamic Republic News Agency"	0.0646037
jc/bk	0.0644156
ae	0.0637445
Ji	0.062863
ADC	0.0617433
dw	0.0614343
hjf	0.0586766
mb	0.0532617
scw	0.0509529
CG	0.0508946
DC	0.0500923
JH	0.0436427
"Operation Desert Fox"	0.041288
"Athens News Agency"	0.0410839
"Agence France Presse"	0.0402617
))
(CBA (desc 7355.73) (sims
"Continental Basketball Association"	0.297958
"Commonwealth Bank of Australia"	0.167773
Westpac	0.157985
ANZ	0.155708
"Commonwealth Bank"	0.137115
NAB	0.122358
"National Australia Bank"	0.120183
NHL	0.115969
"National Hockey League"	0.112448
WNBA	0.109716
AFL	0.107949
"Rio Tinto"	0.107684
ABL	0.103357
"Canadian Football League"	0.100171
"American Hockey League"	0.098504
"National Basketball Association"	0.0984556
"National Football League"	0.098442
"NFL Europe"	0.0973053
"minor league"	0.0958305
NBA	0.0939872
"Italian League"	0.0937027
"preferred shares"	0.0912014
"Southeastern Conference"	0.0910359
"Arena Football League"	0.0896792
XFL	0.0871566
WMC	0.0860077
"Big Sky"	0.0859359
ml	0.085285
BHP	0.0844801
AHL	0.0836809
"professional baseball"	0.0835619
NFL	0.082626
"Big @@"	0.0823235
"American Football League"	0.0821017
"major league"	0.0788152
"American League"	0.0751404
"Arena League"	0.0742078
"big league"	0.0736524
"Big East"	0.0715222
ABA	0.0713763
"Big Sky Conference"	0.0709921
"National League"	0.0700631
Pac-@@	0.0697092
IHL	0.0690833
"Solheim Cup"	0.068452
ACC	0.0683224
"junior college"	0.0681475
Bundesliga	0.0680692
commonwealth	0.0673217
"professional football"	0.0663153
"American Basketball League"	0.0662208
"Class AAA"	0.0655095
"Conference USA"	0.0649368
"Western Athletic Conference"	0.0648903
under-@@	0.0643408
Pacific-@@	0.0625619
"Big West"	0.0623147
"Division @"	0.0622232
WAC	0.0616839
"European Cup"	0.0609114
CWS	0.0607095
AFC	0.0596894
"Division I-AA"	0.0593467
"Premier League"	0.0590186
"International Hockey League"	0.0588738
"USA Basketball"	0.0577995
"basketball league"	0.0577954
NCAA	0.0568755
"little league"	0.0568498
nit	0.0568477
PBA	0.0565391
"Atlantic Coast Conference"	0.0555612
"professional basketball"	0.0554032
A.L.	0.0551136
Springbok	0.0544431
NFC	0.0540083
"Northern League"	0.0539867
"World Championship"	0.0534069
"Uber Cup"	0.053173
"Federation Cup"	0.051653
"Straits Times Index"	0.0516239
"Horned Frogs"	0.0515902
"International League"	0.0509365
"Little League World Series"	0.0505367
"Western Conference"	0.0504871
"Carter Holt Harvey"	0.0499143
"Fed Cup"	0.049428
"News Corp"	0.0492036
AMP	0.0489983
Telstra	0.0488018
tourney	0.0484795
"National Invitation Tournament"	0.0482652
"World League"	0.0482013
hockey	0.0478771
"South Regional"	0.0474262
terrapin	0.0471436
"National League East"	0.0465207
SEC	0.0461489
CRA	0.0460447
"Fletcher Energy"	0.0459845
Mavs	0.0459384
Woodside	0.0458513
"NCAA Tournament"	0.0456667
CAA	0.0455896
NL	0.0455033
PGA	0.0453012
LPGA	0.045285
"NFC Central"	0.0452807
"Negro Leagues"	0.045229
majors	0.0451597
"Pro Bowl"	0.0451508
MLS	0.0451328
"Los Angeles Galaxy"	0.0445359
FIBA	0.0445248
"FA Cup"	0.0444211
"Eastern Division"	0.0443897
gopher	0.0443442
"Second Board Index"	0.0443024
IRL	0.0442829
"National League West"	0.0442259
"UEFA Cup"	0.0441626
"College World Series"	0.0440892
Evansville	0.0439934
"World Group"	0.0438792
"Crimson Tide"	0.0437603
"Phenix City"	0.043699
Edmonton	0.043663
"United States Open"	0.0436308
"Copa America"	0.0434919
"SPH @@@"	0.0433424
"U.S. Senior Open"	0.0430922
"Wireless Optus"	0.0429768
"Southwest Conference"	0.0427245
"Pan American Games"	0.0427166
PacCent	0.042636
"GE Life"	0.0426115
"Ivy League"	0.0425431
"Nikkei Stock Average"	0.0423602
"Ryder Cup"	0.0421996
grizzly	0.0420025
"AFC Central"	0.0419775
"Dallas Mavericks"	0.0418899
"first six"	0.0417978
"Air New Zealand"	0.0416437
"first three"	0.0416366
scrip	0.0414911
Serie	0.0414683
"NL Central"	0.0414081
"Pan Ams"	0.0413864
"water polo"	0.0412617
"Sudirman Cup"	0.041094
"Thomas Cup"	0.0410621
"Funny Car"	0.0408596
"Davis Cup"	0.0408365
"NFC West"	0.040681
lacrosse	0.0405637
MLB	0.0403884
"John Henry"	0.040302
"All-Star Games"	0.0402588
"Pan Am Games"	0.0401975
"Pacific Coast League"	0.0401777
Hornet	0.0401514
"Ryder Cups"	0.0400416
))
(CBC (desc 2218.58) (sims
CTV	0.0996629
"Turner Sports"	0.0990243
"British Broadcasting Corp."	0.0934837
CBS-TV	0.0928689
CNN/SI	0.0927901
"CBS SportsLine"	0.0895714
TNN	0.0875954
"ABC Sports"	0.0869105
CCB	0.0860859
IAI	0.0858214
C-Span	0.084212
"Fox Sports Net"	0.0838336
"Golf Channel"	0.0834755
BOC	0.0834732
primetime	0.0833592
APA	0.0827801
RCN	0.0825394
CNN	0.0823523
NHK	0.0822393
NHRA	0.0821498
MLB	0.0817113
ABS-CBN	0.0809625
Post-Intelligencer	0.0809058
CNPC	0.0804952
WEF	0.0789322
ESPN	0.0776118
Univision	0.0774703
APTN	0.0770219
SDB	0.0769197
SSB	0.0765831
EBRD	0.075938
UPI	0.075083
"Fox News Channel"	0.0734576
ICBC	0.0734088
MSNBC	0.0733866
CNBC	0.0732956
UPN	0.0731051
"Education Department"	0.0727782
CNA	0.0721553
DMV	0.0716858
"United Press International"	0.0714596
HHS	0.070953
CNOOC	0.0708948
PICC	0.0708808
iTV	0.070648
"Business Times"	0.0697891
CCTV	0.0696367
ABC-TV	0.0694351
"ABC News"	0.069373
ACFTU	0.0690298
BBC	0.0684694
COSCO	0.0682959
"NBC News"	0.0678416
ATA	0.0678411
NTV	0.0675237
"Fox TV"	0.0674204
UNIDO	0.0674173
CSC	0.0673821
"Ocean Spray"	0.0673195
USAID	0.0673025
AGL	0.0671238
"Channel @"	0.0669768
B@@	0.0660236
Scripps	0.0659099
"Rotary International"	0.0655385
ICA	0.0655177
NTT	0.0653517
Intelsat	0.0653477
"CBS Sports"	0.0652915
NORTHROP	0.0648946
Televisa	0.0648646
PLN	0.0644868
Lucasfilm	0.0644224
CCE	0.0643375
Penney	0.0641815
"Comedy Central"	0.063957
GEF	0.0633408
Calvary	0.0628196
ESPN@	0.0626402
NSA	0.0625419
"El Mundo"	0.0625009
AMF	0.0624243
"Voice of America"	0.0622867
ExciteAtHome	0.0621718
WB	0.0619243
Eximbank	0.0619223
CDB	0.0616228
CCPIT	0.0616014
"El Pais"	0.0615262
"Bank of Israel"	0.0610331
"U.S. Soccer Federation"	0.0604421
"patent office"	0.0604054
Qinghua	0.0603043
PLDT	0.0593582
SAA	0.0590436
"closed circuit"	0.0587468
UTC	0.0584517
"Housing Authority"	0.0581206
EC	0.0579629
APTV	0.0579539
"National Association of Broadcasters"	0.057831
"Fox Sports"	0.0575652
"CBS News"	0.0575499
"China Telecom"	0.0571068
PBS	0.056909
"National Research Council"	0.0568991
"Agence France Presse"	0.0567812
ADB	0.0565247
"Health Department"	0.0565204
CAA	0.0564623
Rai	0.0564049
DEP	0.0562926
Telemundo	0.0562599
CAAC	0.0561166
TDC	0.0559632
Inquirer	0.0559474
WGN	0.0559286
CCF	0.0557162
"Cincinnati Enquirer"	0.0556957
UNFPA	0.0555999
Caltrans	0.0554231
Notimex	0.0553971
DLC	0.0553213
"Detroit News"	0.0552805
PictureTel	0.0551477
CNET	0.0550411
FAO	0.0547758
"Disney Channel"	0.0546808
PUC	0.0546722
"Pepsico Inc."	0.0546023
KPFA	0.054525
WCW	0.05446
CMA	0.0542547
YankeeNets	0.0541763
"Weather Channel"	0.0541278
SLOC	0.0540776
"Court TV"	0.0540301
"television news"	0.054001
NRC	0.0540001
CAS	0.0539072
"El Al"	0.0536913
"Cartoon Network"	0.0536197
"Detroit Free Press"	0.0535088
"Volvo AB"	0.0533306
BIA	0.0532615
"Gap Inc."	0.053214
ABA	0.0531443
CDC	0.0530863
HKMA	0.0529936
"Airport Authority"	0.0529568
"Honda Motor Co."	0.0528906
"Washington Times"	0.0527658
CSE	0.0527347
Lehrer	0.0526728
Izvestia	0.0526669
"Cable News Network"	0.052519
SB	0.0524778
"Boston Herald"	0.0524325
Pemex	0.0523904
ITTF	0.052238
RJR	0.0522325
"Time Inc."	0.0522044
"TV guide"	0.0521644
Belarusian	0.0521247
DirecTV	0.0520316
IDG	0.0519263
ZDTV	0.0519182
USTA	0.051894
VH@	0.0517267
"Straits Times"	0.0515406
Amway	0.0515328
"US State Department"	0.0514901
"U.S. Agriculture Department"	0.0514629
TCI	0.0513701
"Dateline NBC"	0.0513356
Clorox	0.0511713
IPU	0.0511064
NEA	0.0510894
oil-for-food	0.0509693
Heinz	0.0509449
Reuters	0.0508811
SFA	0.0508555
FIVB	0.050838
"USA Network"	0.0507557
NPR	0.050719
RUC	0.0506771
"Air Canada"	0.0505374
UAB	0.0505236
WGBH	0.0504893
"Health and Welfare Ministry"	0.0503735
AFP	0.0502737
IMG	0.050253
"United Way"	0.0501543
"Cadbury Schweppes"	0.0498847
Nickelodeon	0.0498725
EA	0.0498288
FX	0.049807
Telmex	0.0497432
"South African Airways"	0.0497323
"cable network"	0.0495299
))
(CBI (desc 4374.56) (sims
"Central Bureau of Investigation"	0.232145
SSB	0.172267
"Israeli Foreign Ministry"	0.144107
"Commerce Ministry"	0.138667
WIPO	0.138381
ILO	0.135737
"Defense Agency"	0.135229
NHTSA	0.126716
FAO	0.126556
EOHR	0.123534
EEOC	0.123314
CBK	0.116172
IPU	0.114557
"U.S. Soccer Federation"	0.113431
NARAL	0.110284
CNTA	0.110003
CMA	0.109736
IAEA	0.108415
"Economic Planning Agency"	0.10661
"Home Ministry"	0.106346
PNP	0.106192
RCMP	0.10545
CAA	0.105081
TRC	0.10341
AOC	0.10339
GSS	0.102586
EC	0.101244
"Health and Welfare Ministry"	0.10089
OCA	0.100144
"Russian Space Agency"	0.0978394
"Industry Ministry"	0.0978276
ATF	0.0977514
NTSB	0.0972816
SFA	0.097101
FTC	0.0969628
ADL	0.0969228
TDC	0.0958428
BIA	0.0958084
HKTA	0.0950175
Forrester	0.0948087
CBO	0.0945453
"Truth Commission"	0.0942399
USTA	0.0927447
CDB	0.0927146
UNESCO	0.0923301
SANDF	0.0922306
CSE	0.0922032
"Thai Foreign Ministry"	0.0918275
PATA	0.0907499
CFTC	0.0905382
"Ethics Commission"	0.0902961
"Federal Trade Commission"	0.0902797
IFP	0.089952
"Agriculture Ministry"	0.089499
"Turkish Foreign Ministry"	0.0892765
"U.S. Fed"	0.089164
DEA	0.0884172
BOI	0.0882822
"Education Department"	0.0882461
SDPC	0.0878792
ADB	0.0877842
"Football Association"	0.0877554
"Immigration Department"	0.0876071
OIC	0.0876051
IEA	0.087505
IAAF	0.0872046
CIRC	0.0867996
"Royal Canadian Mounted Police"	0.0864955
FSA	0.0864324
"Transport Ministry"	0.0859767
UNIDO	0.0859001
"Atomic Energy Commission"	0.0858963
ECB	0.0854523
IGC	0.0853816
RIAA	0.0851629
SDB	0.0847657
"House Government Reform Committee"	0.0846715
"British Foreign Office"	0.0846273
"American Heart Association"	0.0846064
TDB	0.0845374
BLM	0.0845215
MII	0.0844017
"Census Bureau"	0.0842903
"Urban League"	0.0838928
USDA	0.0835045
HCFA	0.083404
UNCTAD	0.0831863
OSHA	0.0831157
"Labor Department"	0.0830061
"Justice Ministry"	0.0829494
USOC	0.0823676
"Health Department"	0.0823115
AmCham	0.0823085
Massport	0.0822667
DEP	0.0821729
DP	0.0820987
"Agriculture Department"	0.0820447
"Department of Corrections"	0.0817182
ITF	0.0816774
"NFL Players Association"	0.081674
CCF	0.0816208
"Labor Ministry"	0.080961
"Southeastern Legal Foundation"	0.0808353
OECD	0.0807262
"Federal Security Service"	0.0807008
"Justice Department"	0.0805878
"Securities and Exchange Commission"	0.0802977
CNOOC	0.0801918
"National Police"	0.0801818
"Conference Board"	0.0798614
AFA	0.079788
CAF	0.07974
ama	0.0795923
Tat	0.0794461
Advani	0.0792333
NLRB	0.0790879
SFC	0.0790221
UUP	0.0790109
"College Board"	0.0789699
ICTR	0.0788977
EPA	0.0788719
FEMA	0.0787743
"Congress Party"	0.0787426
IDC	0.0787149
"Energy Department"	0.07867
BOJ	0.0785436
"Sierra Club"	0.0782108
"Civil Aviation Authority"	0.0781438
EBRD	0.077719
FBI	0.0765835
"Bank of Israel"	0.0765783
NSA	0.0765722
Interpol	0.0765131
"Judicial Watch"	0.0764736
FSB	0.0764405
NCI	0.0761178
"U.S. Olympic Committee"	0.0760463
"Transportation Department"	0.0760388
SEPA	0.0752453
SEC	0.0750155
Gao	0.0749566
RNC	0.0748324
USAID	0.0746447
"Philippine Central Bank"	0.0743283
ACLU	0.0739101
ZCTU	0.0738231
NIH	0.0735977
"planning commission"	0.0735829
PUC	0.0735037
NRC	0.0734021
"Department of Labor"	0.0733865
PECC	0.0732906
UPU	0.0732587
Nepa	0.0731678
"Bank of Thailand"	0.0731008
ISU	0.0730421
Garzon	0.0729247
"Commerce Department"	0.0727326
"Housing Authority"	0.0727182
F.A	0.0726384
"Israeli Army"	0.0726074
Bundesbank	0.0724125
"Education Ministry"	0.0721332
"Medical Society"	0.0720995
CCA	0.0719896
CWA	0.0718983
AARP	0.0718841
"Federal Reserve Board"	0.0716839
ESCAP	0.0716607
"Scotland Yard"	0.0716003
NSC	0.0714695
"Foreign Ministry"	0.0714623
CCB	0.0714146
"International Tennis Federation"	0.0714138
"French Foreign Ministry"	0.0713742
"Business Council"	0.0713464
Bi	0.0709518
CPSC	0.0707778
Rao	0.0707437
FIA	0.070698
DMV	0.0705524
INEC	0.0705468
IAI	0.0704592
CNPC	0.0703456
UC	0.0703141
ANC	0.0702562
"International Ski Federation"	0.0700843
KPA	0.0700485
"election commission"	0.0700001
"EU Commission"	0.0698677
AFL-CIO	0.0698125
VFW	0.0697726
FA	0.069643
"Health Ministry"	0.0695856
SJC	0.0694915
inspectorate	0.069406
"European Central Bank"	0.0693732
"General Accounting Office"	0.0693489
FDA	0.0691203
PBOC	0.0689901
))
(CBK (desc 1680.88) (sims
"Central Bank of Kenya"	0.178446
BOJ	0.157422
SSB	0.148807
"Bank of Israel"	0.144078
"Bank Indonesia"	0.133972
"Defense Agency"	0.132279
"Bank of Canada"	0.131743
"Bank of Thailand"	0.122711
NHTSA	0.122367
NCI	0.120545
TDB	0.116231
"Bank of Italy"	0.116193
CBI	0.116172
CDB	0.112615
PBOC	0.111375
OSHA	0.109848
"British Foreign Office"	0.109298
HKMA	0.1085
CIRC	0.107805
INEC	0.107501
NSC	0.10744
SDB	0.105512
"Agriculture Ministry"	0.104713
TDC	0.10361
CFTC	0.103135
PNP	0.103043
"US State Department"	0.101743
"U.S. Census Bureau"	0.10149
"Bank of Uganda"	0.100736
GSS	0.0996465
BOC	0.0989268
"EU Commission"	0.0981001
"Bank Negara"	0.0980323
"Reserve Bank of India"	0.0978925
Bi	0.0948754
CPSC	0.0938098
ITC	0.0933698
CAA	0.0927142
NTSB	0.0925069
"Philippine Central Bank"	0.0917477
USDA	0.08967
SANDF	0.0894559
F.A	0.0892607
Tat	0.088971
RBA	0.0888959
ECB	0.0888384
"Home Ministry"	0.0883041
Spiegel	0.0882513
NRC	0.087705
IAI	0.0873218
ACB	0.0872837
"reserve bank"	0.0872124
CSC	0.0862914
"U.S. Fed"	0.0861498
"U.S. Defense Department"	0.0859082
"Israeli Foreign Ministry"	0.0859066
Massport	0.0855962
BoT	0.0852522
"Commerce Ministry"	0.0852444
FSA	0.0850506
CEC	0.0844786
"Turkish Foreign Ministry"	0.0844152
UNAMET	0.0842569
CNOOC	0.0839058
BIA	0.0838419
IEA	0.083787
GPU	0.0831341
SAA	0.0830168
PBC	0.0828703
"Labor Ministry"	0.0825187
Kroll	0.0824329
Bulog	0.082357
SDPC	0.0821457
BOI	0.0820738
"Transport Ministry"	0.0817119
ILO	0.0813369
EPA	0.081176
EOHR	0.0810586
"U.S. government"	0.081002
CSA	0.0809218
PTT	0.0806833
CBO	0.0805405
ATC	0.0804583
UNEP	0.0801692
Cathay	0.0799121
FAA	0.0797174
"Federal Reserve Board"	0.0789219
"Central Bank of Nigeria"	0.0785226
"Bank of Zambia"	0.0785014
TRC	0.0783464
FTC	0.0781482
DEP	0.0780647
RJR	0.0780234
"Truth Commission"	0.0779847
"U. N."	0.0777551
Eurotunnel	0.0777398
"Transportation Department"	0.077631
NCEC	0.077113
"national bank"	0.0770072
"Energy Department"	0.0769301
HKTA	0.0767846
CCB	0.0765433
CSE	0.0761918
"Bank of England"	0.0758051
UUP	0.0750938
"Interior Department"	0.0749818
EC	0.0748413
"Israeli Army"	0.0745258
"Department of Public Safety"	0.0741071
"Texas Department of Public Safety"	0.0739307
NASD	0.0739204
Daimler	0.073701
"Industry Ministry"	0.0736431
"state government"	0.0735551
"Education Department"	0.0734222
coastguard	0.0734041
PICC	0.0732456
FSB	0.0732189
Bundesbank	0.0729626
MII	0.072951
SBA	0.0729377
lastest	0.072885
DFB	0.0724628
SSE	0.0723549
Bridgestone	0.0722529
LAPD	0.0721207
HCFA	0.0720939
AOC	0.0717828
"Russian Interior Ministry"	0.0714747
"Defense Department"	0.0713178
CalPERS	0.0712618
SEPA	0.0711586
UNIDO	0.0711356
"State Police"	0.071063
Salomon	0.0710318
ICTR	0.0705537
ICI	0.070457
"Reserve Bank of Australia"	0.0703233
Comelec	0.0701858
FAO	0.0700911
KONI	0.0698585
ATF	0.0697115
HBOC	0.0695664
ADB	0.0694146
MTA	0.0693482
IEC	0.0692902
KLSE	0.069072
"U.S. Treasury Department"	0.0690231
ATA	0.0686282
"Federal Reserve"	0.0686059
"Thai Commerce Ministry"	0.0685346
"Iranian Foreign Ministry"	0.0681792
MOFTEC	0.0680998
"Thai Foreign Ministry"	0.068042
"National Highway Traffic Safety Administration"	0.0679446
DOJ	0.0678929
"Russian Space Agency"	0.0677076
"Russian Navy"	0.0674885
FDA	0.0673759
EEOC	0.0671006
BSA	0.0670654
ISO	0.0669531
RCMP	0.0669401
McKesson	0.0668443
HKFA	0.066682
IBRA	0.0662486
"Bank of Japan"	0.0662454
"Freddie Mac"	0.0660752
"Nuclear Regulatory Commission"	0.0659336
CCF	0.0658829
USAID	0.0658464
Lilco	0.0657277
Creationists	0.0657023
PBSI	0.0656298
DP	0.0655945
NORTHROP	0.0655244
SEC	0.0655222
"Russian Foreign Ministry"	0.0654562
HHS	0.0652523
Wada	0.0652419
IAEA	0.0651638
ECA	0.0649444
Advani	0.0648798
CNA	0.0646623
goverment	0.0643977
"National Transportation Safety Board"	0.0643821
"Health and Welfare Ministry"	0.0643194
"Royal Bank"	0.0643023
"Park Service"	0.064262
UNTAET	0.0640255
"Agriculture Department"	0.0638076
"Culture Ministry"	0.0637714
ENTERGY	0.0636512
AutoNation	0.0636294
"European Central Bank"	0.0635607
BSF	0.0635303
"American Petroleum Institute"	0.0632985
WFP	0.0632877
PSG	0.0631998
PUC	0.0631382
))
(CBO (desc 2522.22) (sims
"Congressional Budget Office"	0.324386
Forrester	0.235503
"U.S. Agriculture Department"	0.21288
SSB	0.211771
IEA	0.210806
"U.S. Census Bureau"	0.187992
"Census Bureau"	0.15986
IDC	0.159246
Coen	0.150909
"Wall Street analyst"	0.139624
TDB	0.12977
Gartner	0.126249
SDPC	0.124334
NCI	0.119741
USDA	0.118243
"Bureau of Labor Statistics"	0.112326
Gao	0.112137
"Congressional Research Service"	0.109986
EOHR	0.109895
UNAIDS	0.109888
"Agriculture Department"	0.10971
"Energy Department"	0.109132
"Truth Commission"	0.109085
Rylander	0.108809
"Office of Management and Budget"	0.105041
INEC	0.103918
EPA	0.102498
"National Hurricane Center"	0.0993239
Tat	0.0992186
HKTA	0.098719
GSS	0.0986072
HCFA	0.0979368
OECD	0.0976278
CDC	0.0954048
actuary	0.0948139
Dataquest	0.0948099
CBI	0.0945453
"Common Cause"	0.0935371
"Agriculture Ministry"	0.0931662
CSE	0.0927925
"US State Department"	0.0921072
NTSB	0.0918847
HHS	0.0918153
SEPA	0.0910525
CAA	0.0910462
"Forrester Research"	0.0908019
OSHA	0.0906064
"U.S. Commerce Department"	0.0905896
"Commerce Department"	0.0900328
Singson	0.0897249
ADL	0.0894522
FEMA	0.089171
"International Data Corp."	0.0887133
Lipper	0.0883503
Eurostat	0.0877957
SFA	0.0876064
"Jupiter Communications"	0.0872413
"Labor Department"	0.0870397
"Conference Board"	0.0867637
Nielsen	0.0867289
AOC	0.0865431
"U.S. Fed"	0.0862689
NHTSA	0.0857203
"Gartner Group"	0.0855021
NRC	0.0852444
"Treasury Department"	0.0850883
AAA	0.0843052
"Yankee Group"	0.0838344
CPSC	0.0833015
ILO	0.0831634
Nepa	0.0824003
FDIC	0.0823085
McFadden	0.0823023
DEP	0.0816465
APTV	0.0815782
Massport	0.0809401
Hybl	0.0808254
MII	0.0805476
CBK	0.0805405
second-quarter	0.0783809
"General Accounting Office"	0.0782336
PNP	0.0782017
"National Weather Service"	0.0779078
demographer	0.0778845
"Interior Department"	0.0770778
"Department of Education"	0.0769877
Postol	0.0768102
"Bank Indonesia"	0.0767178
HUD	0.0766187
"Education Department"	0.0755186
BNFL	0.0754831
"Health Department"	0.0750982
BoT	0.0746312
"U.S. Treasury Department"	0.0743809
CIA	0.0742589
"Commerce Ministry"	0.0741163
"Statistics Canada"	0.0740597
"American Petroleum Institute"	0.0738787
ITC	0.0737815
"U.S. State Department"	0.0737151
BOI	0.0736589
"Labor Ministry"	0.0735832
Eizenstat	0.0731689
CIRC	0.0723392
"Defense Agency"	0.0721711
PECC	0.0720646
"Department of Agriculture"	0.0720101
ridership	0.0717231
Bulog	0.0716521
"Central Bureau of Statistics"	0.0715935
"Economic Planning Agency"	0.071482
Comelec	0.0710851
AARP	0.0709002
"Social Security Administration"	0.070732
Ivey	0.0701663
"U.S. Environmental Protection Agency"	0.0698921
"College Board"	0.0698212
Cline	0.0693542
"Disease Control"	0.0690946
BIA	0.069018
Koskinen	0.0690054
Tellem	0.0689894
"National Highway Traffic Safety Administration"	0.0689847
TDC	0.068836
"Australian Bureau of Statistics"	0.0683901
"Defense Department"	0.068374
"American Cancer Society"	0.0682911
"U.S. government"	0.0681525
"Nielsen Media Research"	0.0675414
Bi	0.0675236
ISTAT	0.0672024
FAO	0.0671675
Birnbaum	0.0671671
Milken	0.0671634
"Families USA"	0.0670368
FAA	0.0670118
BOJ	0.0668779
"National Academy of Sciences"	0.0668383
"RAND Corp."	0.0667731
CAAC	0.0666445
"Environmental Protection Agency"	0.066535
"La Bella"	0.0663393
third-quarter	0.0662619
"Department of Labor"	0.066027
Jupiter	0.0659929
RNC	0.0658824
IGC	0.065849
"Forest Service"	0.0656684
FTC	0.0656258
NARAL	0.0652554
"Pew Research Center"	0.0652308
Zucker	0.0648505
ECA	0.0648081
PPI	0.0644026
ATF	0.0640019
"World Health Organization"	0.0637213
AFA	0.0636849
"Congressional Republicans"	0.0635568
lastest	0.0634767
"Department of Commerce"	0.0634727
RCMP	0.0633251
"Finance Ministry"	0.0632418
"National Research Council"	0.0631796
"U.S. Geological Survey"	0.0631753
NIH	0.0630451
PBSI	0.0629442
IRS	0.0624872
"Institute of Medicine"	0.0624063
"U.S. Defense Department"	0.0623793
"Department of Transportation"	0.0622502
ACOG	0.0620582
McIntyre	0.0615693
DMA	0.061426
criminologists	0.0611392
RBA	0.0609168
"Health and Welfare Ministry"	0.0606878
"Federal Reserve"	0.0606268
UNICEF	0.0604499
"Bank of Thailand"	0.0604382
Comptroller	0.0603739
CFTC	0.0603699
"Labor office"	0.0603673
"Russian Space Agency"	0.060314
Leuchter	0.060065
Bundesbank	0.0599561
Tankan	0.0596865
Zogby	0.0596589
Cs	0.0595591
ADB	0.0591391
LaBella	0.058918
"Park Service"	0.058886
"Brookings Institution"	0.0588659
PUC	0.0588545
Rossotti	0.0585365
"Ethics Commission"	0.0585153
"Transport Ministry"	0.0582155
IEC	0.058199
"Department of Corrections"	0.0581747
"Bank of Israel"	0.0581354
"Health Ministry"	0.0581067
))
(CBs (desc 69840.1) (sims
ABC	0.289113
NBC	0.288571
HBO	0.199627
ESPN	0.195326
Fox	0.194514
CNN	0.186365
PBS	0.179625
UPN	0.162288
WB	0.15747
MSNBC	0.147425
CNBC	0.145745
Showtime	0.141933
MTV	0.13758
TNT	0.137313
network	0.136933
"CBS News"	0.13458
ESPN@	0.134234
"Time Warner"	0.133397
BBC	0.130659
Nickelodeon	0.130626
C-Span	0.127603
"Channel @"	0.122738
television	0.121925
VH@	0.12011
"Comedy Central"	0.11781
"ABC News"	0.116543
"television network"	0.114851
TV	0.111747
TNN	0.110928
"cable network"	0.110888
Disney	0.110586
"Fox Sports Net"	0.108183
Univision	0.105039
"National Public Radio"	0.104949
"Good Morning America"	0.104247
"Fox News Channel"	0.103394
ABC-TV	0.102067
"Pax TV"	0.0996419
"Court TV"	0.099509
"television station"	0.0990949
"Walt Disney Co."	0.098687
Viacom	0.0959163
"TV network"	0.0955933
"Fox News"	0.0951566
"NBC News"	0.0950259
"British Broadcasting Corp."	0.0918082
"Warner Bros."	0.0909652
"news program"	0.0909218
"ABC Sports"	0.0901371
channel	0.0896024
"Fox Sports"	0.088639
"Cable News Network"	0.0884926
"radio station"	0.0873929
Televisa	0.0858674
"Food Network"	0.0857925
"USA Network"	0.0857169
Nightline	0.0857115
Microsoft	0.0848084
AOL	0.0846012
IBM	0.0835587
paramount	0.0820313
Sony	0.0819802
Tb	0.0814466
"TV station"	0.081256
"Channel @@"	0.0806427
"History Channel"	0.0805429
"America Online"	0.0799769
"Warner Brothers"	0.0798425
Lycos	0.0798312
MCI	0.0795996
station	0.079513
company	0.0789481
"Bell Atlantic"	0.078748
"Discovery Channel"	0.0787356
universal	0.0784924
studio	0.0774865
cable	0.0773674
"News Corp."	0.0772389
"MCI WorldCom"	0.0770079
NTV	0.076728
radio	0.0762843
GM	0.0756361
PAX	0.075418
"Night Football"	0.0746868
BellSouth	0.0743866
Cablevision	0.0739269
"Time Warner Inc."	0.0739247
Boeing	0.0735888
e	0.0734057
Coca-Cola	0.0728544
"cable television"	0.0726701
"news show"	0.0724487
Comcast	0.0722076
"Turner Broadcasting"	0.0719646
DaimlerChrysler	0.0718505
Compaq	0.071566
"Time Inc."	0.0714126
Yahoo	0.0713097
"General Motors Corp."	0.0711208
"Telecom Italia"	0.070955
"Global Crossing"	0.0708367
Warner-Lambert	0.0706905
"television news"	0.0706721
newscast	0.0702535
Exxon	0.070192
MGM	0.0701817
Qwest	0.070072
"General Electric"	0.0699639
NHK	0.0698136
Aetna	0.069805
"BP Amoco"	0.0695948
"Times Mirror"	0.0693202
Monsanto	0.0693106
broadcast	0.0692833
GTE	0.06924
Bertelsmann	0.0692238
Ford	0.0691941
Netscape	0.0686388
EarthLink	0.0684246
WorldCom	0.0684185
"Cartoon Network"	0.0681282
Mannesmann	0.0677122
"USA Networks"	0.067712
affiliate	0.067689
"prime time"	0.0676666
Hewlett-Packard	0.0673672
er	0.0667569
"U S West"	0.0666114
"China Central Television"	0.0665274
"television show"	0.0660715
Cisco	0.0657186
Motorola	0.0655991
MindSpring	0.0655738
"Ford Motor Co."	0.0655624
airline	0.0654747
"Weather Channel"	0.0653856
NPR	0.065189
"Early Show"	0.0651547
CNET	0.0650982
ARCO	0.0649586
Intel	0.0649451
Hearst	0.064857
"Conde Nast"	0.064545
"Deutsche Telekom"	0.0645323
"Bankers Trust"	0.0644171
Ge	0.0643486
Vodafone	0.0643484
Newsweek	0.0642421
"Universal Studios"	0.0642101
NASA	0.0642046
Chrysler	0.0641569
Reuters	0.0640898
NIKE	0.0640503
Seagram	0.0639782
"talk show"	0.0638157
NFL	0.0638002
"Washington Post"	0.0637505
"Associated Press"	0.0635201
"Los Angeles Times"	0.0635181
firm	0.0634663
Miramax	0.0634332
"Chrysler Corp."	0.063403
magazine	0.0633239
Amoco	0.0632407
"Tribune Co."	0.0631826
TCI	0.063164
Mattel	0.0629296
Mobil	0.0626071
turner	0.0625297
WGBH	0.0623415
"Philip Morris"	0.0622923
"General Motors"	0.0622841
Thursdays	0.0621158
Citigroup	0.0620623
DirecTV	0.0619793
Livent	0.0617032
weeknight	0.061549
"Microsoft Corp."	0.0612995
BankAmerica	0.0612946
Texaco	0.0611427
Tuesdays	0.0610691
NBA	0.0605058
Sotheby's	0.060453
"US Airways"	0.0604248
"Merrill Lynch"	0.0601752
BofA	0.0599324
Dupont	0.0598027
"NYPD Blue"	0.05945
BankBoston	0.0593207
"Morgan Stanley"	0.0592663
bank	0.0592629
DreamWorks	0.0592013
"American Home Products"	0.059093
CMGI	0.0590896
Merrill	0.0589529
"America West"	0.0587669
Xerox	0.058579
"Apple Computer"	0.0585468
Pfizer	0.0584555
"TV show"	0.0581675
))
("CBS Corp." (desc 2176.56) (sims
"Viacom Inc."	0.265483
"New York Times Co."	0.238785
"Federated Department Stores"	0.227191
"Seagram Co."	0.217358
"Time Warner Inc."	0.211169
"Bertelsmann AG"	0.198516
"Bankers Trust Corp."	0.184464
"Tele-Communications Inc."	0.183399
"Walt Disney Co."	0.173312
Viacom	0.171964
"News Corp."	0.17134
"Times Mirror Co."	0.168552
"Tribune Co."	0.159707
"Dow Jones &AMP; Co."	0.159568
Interpublic	0.155161
"Hearst Corporation"	0.153705
"Learning Co."	0.14681
"Times Co."	0.146275
"Omnicom Group"	0.145915
"Comcast Corp."	0.145272
Omnicom	0.144877
"BankBoston Corp."	0.140431
"Hughes Electronics Corp."	0.139916
Bertelsmann	0.137721
"Sony Corp."	0.136989
"Liberty Media"	0.135876
"General Electric Co."	0.132334
"Cendant Corp."	0.132021
"Northeast Utilities"	0.131407
"Monsanto Co."	0.131322
"MediaOne Group"	0.129609
"Hearst Corp."	0.129114
"American International Group"	0.128844
"SBC Communications Inc."	0.128561
"Ameritech Corp."	0.12788
"Mobil Corp."	0.127769
"UAL Corp."	0.127547
"Chevron Corp."	0.127441
"Fleet Financial Group"	0.125225
"Atlantic Richfield Co."	0.125088
"Gap Inc."	0.124417
"Ford Motor Company"	0.122529
"Mattel Inc."	0.122163
AMR	0.120356
"Times Mirror"	0.12013
"Time Inc."	0.119845
"AMR Corp."	0.118131
Pepsico	0.116853
"Chase Manhattan Corp."	0.116202
"Knight Ridder"	0.115581
"National Semiconductor"	0.115278
"Time Warner"	0.11455
"Gannett Co."	0.113627
"BankAmerica Corp."	0.113613
Seagram	0.11208
"Atlantic Richfield"	0.111416
Federated	0.11131
Vivendi	0.110883
"Motorola Inc."	0.110631
"Donaldson, Lufkin &AMP; Jenrette"	0.110211
"GTE Corp."	0.110139
"Charles Schwab &AMP; Co."	0.108721
YankeeNets	0.108525
"Global Crossing"	0.107779
"Warner-Lambert Co."	0.107089
"Halliburton Co."	0.106543
"Raytheon Co."	0.105711
"Fred Meyer"	0.105625
"Travelers Group"	0.105322
"RJR Nabisco"	0.104906
"MCI Communications Corp."	0.104456
"MCI WorldCom"	0.104422
McKesson	0.104182
"Volkswagen AG"	0.103919
"Digital Equipment Corp."	0.103291
"Bay Networks"	0.103278
"Pepsico Inc."	0.10303
BankAmerica	0.10286
"Bank of Montreal"	0.102484
Instinet	0.101155
Publicis	0.101098
"Reed Elsevier"	0.100816
Petrofina	0.100679
"Hughes Electronics"	0.100623
"T Corp."	0.100582
"Cadbury Schweppes"	0.10054
"First Union Corp."	0.0999268
"Sprint Corp."	0.0998384
"America Online Inc."	0.0997144
"Texaco Inc."	0.0995405
"Volvo AB"	0.0994092
"MindSpring Enterprises"	0.0994063
"Bankers Trust"	0.0991051
"General Motors Corp."	0.0977615
"Softbank Corp."	0.0969802
Paribas	0.0966818
"American Home Products"	0.0965104
"WorldCom Inc."	0.0964556
"SBC Communications"	0.0957717
"Hyundai Group"	0.0953198
UAL	0.0950208
"American Home Products Corp."	0.0949474
"BellSouth Corp."	0.0941627
"Arnold Communications"	0.0941568
"Sara Lee"	0.0939855
PolyGram	0.093821
"Wal-Mart Stores Inc."	0.0937569
"Charles Schwab"	0.0936479
"MCI Worldcom Inc."	0.0924217
Telefonica	0.0922831
"Standard Chartered Bank"	0.0922225
"National Grid"	0.0918714
"Columbia Pictures"	0.0918281
"Bausch &AMP; Lomb"	0.0917827
"McDonnell Douglas"	0.0917585
"Ford Motor Co."	0.0912005
"Bell Atlantic Corp."	0.0895735
"Merck &AMP; Co."	0.0892376
"Brooks Brothers"	0.089197
"International Business Machines Corp."	0.0890765
"Silicon Graphics"	0.0890015
"Prudential Insurance Co."	0.0889567
"Symantec Corp."	0.0886715
"Continental Airlines"	0.0886224
Unilever	0.0882423
MCI	0.088226
"Oracle Corp."	0.0881559
Warner-Lambert	0.0880207
"Chase Manhattan Bank"	0.0876237
Tenneco	0.0874551
WPP	0.0866996
"Aetna Inc."	0.0866165
"Metropolitan Transportation Authority"	0.0865502
"Kraft Foods"	0.0864651
"Electronic Arts"	0.0863112
"Nature Conservancy"	0.0861081
"Mannesmann AG"	0.0860307
"Chrysler Corp."	0.085801
MetLife	0.085704
"Lycos Inc."	0.0856443
"Johnson &AMP; Johnson"	0.0853434
"Netscape Communications Corp."	0.0853101
"Coca-Cola Enterprises"	0.0850098
"Hambrecht &AMP; Quist"	0.0844511
WorldCom	0.0844472
Westinghouse	0.0843494
Diageo	0.0842778
"GE Capital"	0.0839545
Hasbro	0.0838794
Medtronic	0.0838715
"Turner Broadcasting"	0.0836812
Daimler-Chrysler	0.0835854
"Vanguard Group"	0.0834274
ALZA	0.0831275
"U.S. Trust"	0.0827387
"Telecom Italia"	0.0825594
"Levi Strauss &AMP; Co."	0.0822735
"America Online"	0.0821628
"Mather Worldwide"	0.0818309
Mannesmann	0.0818283
"Sydney Organizing Committee"	0.0818267
Corning	0.0816099
"Universal Music Group"	0.0813886
"Deutsche Telekom"	0.0813518
"General Electric"	0.0809888
Novartis	0.0807583
"Netscape Communications"	0.080646
"Chase Manhattan"	0.080493
Broderbund	0.0800296
"Siemens AG"	0.0799679
GANNETT	0.0799556
Lucent	0.0798658
"CMGI Inc."	0.0794858
"Toyota Motor Corp."	0.0794274
"Cisco Systems Inc."	0.079288
Ingram	0.0792534
"Frontier Corp."	0.0790579
"Exxon Corp."	0.0789345
"Morgan Stanley Dean Witter"	0.0788803
"Lockheed Martin"	0.0788406
Amoco	0.0787864
"U S West Inc."	0.0787727
Chiron	0.0787253
Primedia	0.0786891
"Eastman Kodak Co."	0.0785212
Broadcast.com	0.0784839
"Fallon McElligott"	0.0780672
"Coca-Cola Co."	0.0778904
Dupont	0.0778395
"Walt Disney"	0.0778026
SAirGroup	0.0775985
"Daimlerchrysler AG"	0.0772795
Cablevision	0.0772122
"Microsoft Corp."	0.0771668
"Merrill Lynch &AMP; Co."	0.0769184
"Learning Company"	0.0768625
prudential	0.0768192
HSBC	0.0763156
"Boeing company"	0.076022
Ameritech	0.0757406
))
("CBS Evening News" (desc 2487.56) (sims
"World News Tonight"	0.186492
"Good Morning America"	0.126763
"Dateline NBC"	0.115824
"Early Show"	0.113554
"Fox Sports News"	0.107136
NewsHour	0.0948878
newscast	0.0843462
"Politically Incorrect"	0.0836848
"Lincoln Center Theater"	0.0814688
Nightline	0.0813589
"Nashville Network"	0.0676926
"Fox News Channel"	0.0673581
"Late Night"	0.0615893
CBS-TV	0.0612345
ESPN@	0.0595858
Moneyline	0.0588077
"news program"	0.0559448
newsmagazine	0.0559026
"news show"	0.0547513
OED	0.0535029
newsstand	0.0533959
methamphetamines	0.0530947
"Public Theater"	0.0523935
"Field Poll"	0.0519761
"Tom Brokaw"	0.0517183
"Late Show"	0.0502459
Dateline	0.0496424
"True West"	0.0483299
"Beauty Queen"	0.0476403
"Cosby Show"	0.0472106
"NBC News"	0.0470404
"Jenny Jones Show"	0.0466955
"scarlet pimpernel"	0.0450142
"Lincoln Center Festival"	0.0441016
constructor	0.0440416
"Fox Sports"	0.0433861
"USA Network"	0.0432362
"San Francisco Museum of Modern Art"	0.0431232
"Tonight Show"	0.0427174
"Lou Dobbs"	0.0426093
"Peter Jennings"	0.0425472
"Daily Show"	0.0422825
"Wen Wei Po"	0.0422026
C-Span	0.0420749
frontline	0.041023
))
("CBS News" (desc 7411.43) (sims
"ABC News"	0.246777
"NBC News"	0.213237
"Los Angeles Times"	0.148059
Gallup	0.147769
Newsweek	0.144341
"USA TODAY"	0.135025
CBs	0.13458
"Washington Post"	0.127602
"Fox News"	0.126509
CBS-TV	0.123367
CNN	0.123095
CNBC	0.116465
"Voter News Service"	0.116374
"Pew Research Center"	0.114107
"British Broadcasting Corp."	0.1104
"National Public Radio"	0.107735
BBC	0.107373
"Chicago Tribune"	0.107204
"Voice of America"	0.104765
"CBS Sports"	0.103507
"Wall Street Journal"	0.102589
"Associated Press"	0.0994926
"Washington Times"	0.0983207
"Miami Herald"	0.0978962
Reuters	0.0975972
"Boston Globe"	0.0967728
MSNBC	0.096036
"ABC Sports"	0.0934488
"Time Inc."	0.09028
"New York Times"	0.0889207
"San Antonio Express-News"	0.0885817
ESPN	0.0879084
ABC	0.0875492
"Dallas Morning News"	0.0855809
"Arizona Republic"	0.0852512
"Dow Jones Newswires"	0.0851744
"United Press International"	0.0849576
"Boston Herald"	0.0837512
WGBH	0.0831797
NBC	0.0816183
Reforma	0.0807278
"Houston Chronicle"	0.0806476
Newsday	0.0801932
"Kansas City Star"	0.0798268
"Bloomberg News"	0.0788815
"Securities Industry Association"	0.0787705
Post-Intelligencer	0.0785886
"Channel @"	0.0784353
"San Francisco Examiner"	0.0777131
"Des Moines Register"	0.0775639
"New York Daily News"	0.0770571
"Fox News Channel"	0.0768612
"St. Louis Post-Dispatch"	0.0765732
"television network"	0.0752362
C-Span	0.0751494
IRNA	0.0750656
"Financial Times"	0.0744024
"Radio Liberty"	0.0741464
"Sports Illustrated"	0.0734978
"Daily News"	0.0731663
CNN/SI	0.0727428
"Chicago Sun-Times"	0.0722761
"Urban League"	0.0721411
"Kaiser Family Foundation"	0.0718394
"Asahi Shimbun"	0.0716836
"Orange County Register"	0.0716574
"World Report"	0.071347
"Turner Sports"	0.0710472
Times	0.0704824
"television news"	0.0703561
"Yomiuri Shimbun"	0.0700996
UPI	0.0695593
Televisa	0.0682585
"Court TV"	0.0676822
NPR	0.0672952
"Atlanta Journal-Constitution"	0.0669306
ICM	0.0669093
"Cox Newspapers"	0.0656317
Izvestia	0.0654278
"Daily Telegraph"	0.0653898
"Conde Nast"	0.0653563
"New York Post"	0.0653114
"Discovery Channel"	0.0648314
globe	0.0647234
"Der Spiegel"	0.0646325
"Republican National Committee"	0.0644016
"San Francisco Chronicle"	0.0643044
"Cable News Network"	0.0638289
roper	0.0637858
"British Broadcasting Corporation"	0.0631521
"San Jose Mercury News"	0.0628762
"Xinhua News Agency"	0.0622154
CNNfn	0.0617834
"New York Times Co."	0.0617121
"Dateline NBC"	0.0614831
"Commerce Department"	0.0612031
"El Pais"	0.0605929
"First Call/Thomson Financial"	0.0603933
"Times Mirror"	0.0602791
"Entertainment Weekly"	0.0600952
"American Association of Retired Persons"	0.0599682
"U.S. News"	0.0598704
"television station"	0.0596745
"Census Bureau"	0.0596376
"Federal Reserve Bank of New York"	0.0595406
MTV	0.0593649
"Fox Sports"	0.0592443
"Business Week"	0.0591229
"Le Figaro"	0.0589843
ABC-TV	0.0589156
"Labor office"	0.0587717
"Lincoln Center Theater"	0.058709
"National Association of Manufacturers"	0.0586099
"Seattle Times"	0.0585169
"National Highway Traffic Safety Administration"	0.0580626
"American Red Cross"	0.0578824
CBC	0.0575499
"Barbara Walters"	0.057535
CNET	0.0573892
Zogby	0.0573159
"Atlantic Monthly"	0.0572958
"Philadelphia Inquirer"	0.056978
"Dayton Daily News"	0.0565134
"American Association of Health Plans"	0.0564178
Mabetex	0.0564018
AFL-CIO	0.0561961
"TV station"	0.0561594
"Health Department"	0.0559393
"College Board"	0.0555649
"Bell Labs"	0.0554156
"Weight Watchers"	0.0552403
"Planned Parenthood"	0.0551898
"Seattle Post-Intelligencer"	0.0551778
newsman	0.0549091
"Urban Institute"	0.0547193
"Department of Education"	0.0546777
"Nihon Keizai Shimbun"	0.0545783
Inquirer	0.0545538
"General Accounting Office"	0.0545394
PBS	0.0545221
"Denver Post"	0.054241
"Bankers Trust"	0.0542085
"Turner Broadcasting"	0.0539569
Haaretz	0.0539436
"Electronic Frontier Foundation"	0.0537505
Star-Ledger	0.0537366
"Hearst Newspapers"	0.0536678
"Social Security Administration"	0.0531859
"Department of Corrections"	0.0527907
"Chinese Olympic Committee"	0.0526383
"American Petroleum Institute"	0.0524382
"Morgan Stanley"	0.0521751
"CBS SportsLine"	0.0521043
"International Herald Tribune"	0.0520654
"Communications Workers of America"	0.0517945
"Gallup Poll"	0.051785
"Dow Jones"	0.0517515
"vanity fair"	0.0517447
Bloomberg	0.0514948
pi	0.0514749
"Weekly Standard"	0.0513285
IMG	0.0512167
"Family Research Council"	0.0509123
"Handgun Control"	0.0506495
Nightline	0.0506432
"Israel Radio"	0.0506244
Raytheon	0.05035
CNPC	0.0500784
Biogen	0.0500341
newscaster	0.0500124
"American Jewish Committee"	0.0499886
"Texas Department of Public Safety"	0.0497814
Smithsonian	0.0497456
REVLON	0.0495906
"Kraft Foods"	0.0495303
"Bear Stearns"	0.0494745
ESPN.com	0.0494284
"Dan Rather"	0.0493847
HBO	0.0491545
"Koch Industries"	0.0490152
"Good Morning America"	0.048684
"U.S. Soccer Federation"	0.0486682
Xerox	0.0485946
tribune	0.0484029
"TV guide"	0.0483471
"Sporting News"	0.0483224
RCA	0.0483126
Pertamina	0.0482943
"Time Warner"	0.048234
"Human Rights Watch"	0.048165
CPAFFC	0.0480318
"Jupiter Communications"	0.0479922
VH@	0.0479809
"U.S. Chamber of Commerce"	0.0478759
CWA	0.0478741
Massport	0.047796
"Con Edison"	0.0474588
"Straits Times"	0.047458
"U.S. Immigration and Naturalization Service"	0.0473807
CNOOC	0.0473782
))
("CBS Sports" (desc 1184.76) (sims
"Turner Sports"	0.215461
"Fox Sports"	0.210926
"ABC Sports"	0.202198
"NBC News"	0.170754
"National Council of La Raza"	0.170208
Izvestia	0.168833
"Family Research Council"	0.15675
"BancBoston Robertson Stephens"	0.15502
"ABC News"	0.153301
CPAFFC	0.148725
"Labor office"	0.140292
"Australian Olympic Committee"	0.140068
"American Association of Health Plans"	0.136874
"Wine Institute"	0.133286
"Chinese Olympic Committee"	0.129295
"Paine Webber"	0.128806
"Handgun Control Inc."	0.12616
"Center for Democracy"	0.123615
"Fox News"	0.123604
"Association of Flight Attendants"	0.12302
"U.S. Soccer Federation"	0.122379
"Salt Lake Organizing Committee"	0.121439
"Bear Stearns"	0.119922
"Communications Workers of America"	0.117967
IMG	0.117572
"Edward Jones"	0.115403
"Yankee Group"	0.114284
"National Education Association"	0.111984
Maariv	0.109441
"Handgun Control"	0.109339
Dataquest	0.108832
PaineWebber	0.107902
"Turner Broadcasting"	0.107087
"National Public Radio"	0.106525
"Gartner Group"	0.106301
"Fox Sports News"	0.105988
"Con Edison"	0.105542
"Prudential Securities"	0.105505
CWA	0.105029
"American Red Cross"	0.104635
"CBS News"	0.103507
UMNO	0.102123
"Time Warner Cable"	0.102065
"National Association of Broadcasters"	0.101356
SCLC	0.100953
Haaretz	0.100746
"Jupiter Communications"	0.10061
"Olympic Council of Asia"	0.100525
"Federal Reserve Bank of New York"	0.0990497
CNOOC	0.0982869
CCPIT	0.0971476
"NationsBanc Montgomery Securities"	0.0968628
"Securities Industry Association"	0.0968412
ACWF	0.0960473
"ING Barings"	0.0957059
CNPC	0.0953438
"National Association of Realtors"	0.0942986
"Columbia Pictures"	0.0942135
"International Data Corp."	0.0940321
"EU Commission"	0.093119
"New York Times Co."	0.0920184
"RAND Corp."	0.0916645
"Hambrecht &AMP; Quist"	0.0908644
"Merrill Lynch &AMP; Co."	0.0906514
"Donaldson, Lufkin &AMP; Jenrette"	0.090098
"Air Transport Association"	0.0897844
"National Association of Manufacturers"	0.089694
"senior class"	0.0896472
"National Urban League"	0.0894765
"Heritage Foundation"	0.0892007
SLOC	0.0891234
"CS First Boston"	0.0886984
WGBH	0.0886544
CFA	0.0883748
"Air Line Pilots Association"	0.0882292
"Forrester Research"	0.0876681
"Allied Pilots Association"	0.0873989
"Urban League"	0.0873888
Bundesbank	0.0872992
OCA	0.087095
Banc	0.0866873
Medtronic	0.0860711
ICBC	0.0848735
ENTREMED	0.0847864
Genzyme	0.0846924
EBRD	0.0845829
"Motion Picture Association of America"	0.0842558
"United Way"	0.0842487
"International Ski Federation"	0.0838569
AOC	0.0837286
"European Bank for Reconstruction"	0.0835191
"Robertson Stephens"	0.0834354
"U.S. Immigration and Naturalization Service"	0.0832942
"World Petroleum Congress"	0.0830694
"National Federation"	0.0825186
"Local @@"	0.0821849
ZCTU	0.0819145
CASS	0.0816967
"Sprint PCS"	0.081357
"Board of Supervisors"	0.0812806
"Morgan Stanley"	0.0812361
Qinghua	0.0812209
"American Federation"	0.0807376
CSX	0.0801241
DFB	0.0800186
"U.S. Chamber of Commerce"	0.0797727
"Atlanta Committee"	0.0794694
"Cuban American National Foundation"	0.0793267
"American Petroleum Institute"	0.0791587
SGI	0.0790894
"Blue Cross"	0.0784405
Biogen	0.078369
UCI	0.0783283
"Main Events"	0.0783159
SPC	0.0782869
"National Trust"	0.0782759
FIVB	0.078269
NARAL	0.0782467
"Warburg Dillon Read"	0.0780802
CCF	0.0780706
"National Republican Congressional Committee"	0.0776484
"Players Association"	0.0772559
TVKO	0.077148
"Electronic Privacy Information Center"	0.0765769
SDB	0.0764883
DLC	0.076104
"Texas Department of Public Safety"	0.0761006
"Goldman, Sachs &AMP; Co."	0.075524
"Local @@@"	0.0753887
"Hearst Newspapers"	0.0753841
"National Conference"	0.0753337
"World Jewish Congress"	0.0749184
"Benevolent Association"	0.0748164
"Lehman Brothers"	0.074407
"American Cancer Society"	0.0740267
IDC	0.0739958
"Nissan Motor"	0.0735644
"Thai Farmers Bank"	0.073492
ACOG	0.0732051
"Korean Air"	0.0731925
"Common Cause"	0.0731811
AHA	0.072866
"Con Ed"	0.0726684
Botswanan	0.0725755
"American Jewish Committee"	0.0724653
"International Skating Union"	0.0720442
CCB	0.0720247
IMS	0.0719203
ACFTU	0.07183
"Indianapolis Motor Speedway"	0.0717582
"Consumers Union"	0.0716925
ITTF	0.0716694
"Association for Relations Across"	0.0715356
NORTHROP	0.071465
NEA	0.0713264
Sinopec	0.0712444
"Cato Institute"	0.0712352
Eximbank	0.0711958
"Fox Sports Net"	0.071137
"Bank of America"	0.0710526
Lucasfilm	0.0707909
"International Tennis Federation"	0.0705831
"National Council of Churches"	0.0705495
PSE	0.0703669
"Credit Suisse First Boston"	0.0700923
ARATS	0.0700702
TNT	0.0700636
RIAA	0.0696422
"Central Intelligence Agency"	0.0692659
Alltel	0.0692596
CNNfn	0.0692239
"Mormon Church"	0.0692225
AFL-CIO	0.0690465
"Recording Industry Association of America"	0.0690119
WEF	0.0689726
BankAmerica	0.0689683
Kiribati	0.0689312
"Organizing Committee"	0.0688681
Showtime	0.0688472
USEC	0.0683524
"International Association of Machinists"	0.0683225
"U.N. World Food Program"	0.0682842
"Goldman Sachs"	0.0680117
"Rotary International"	0.0679205
"Fox News Channel"	0.067905
PNP	0.0678989
Bundestag	0.0677155
"Department of Environmental Protection"	0.0671516
"National Audubon Society"	0.0670778
"P&AMP;G"	0.066829
CMA	0.0668004
Mattel	0.0667465
Hasbro	0.0666874
AmCham	0.0666128
"Cox Communications"	0.0665273
CITIC	0.0665266
"Hearst Magazines"	0.0664439
"transit authority"	0.0662741
ExciteAtHome	0.0661015
"Goldman Sachs &AMP; Co."	0.0660682
))
("CBS SportsLine" (desc 1412.51) (sims
CNN/SI	0.189339
ABCNews.com	0.159416
"Detroit Free Press"	0.119208
ESPN.com	0.113085
Netcenter	0.104923
"Detroit News"	0.102568
ZDNet	0.0976623
CNN.com	0.0909291
"Fox Sports"	0.0903592
CBC	0.0895714
CNNfn	0.0849627
"NBC News"	0.0836087
MLB	0.0817447
"Real Networks"	0.0773139
Priceline	0.0772711
"Yomiuri Shimbun"	0.0769581
UTC	0.0742333
"Disney Channel"	0.0735605
GeoCities	0.0707286
Monster.com	0.0694501
"Asahi Shimbun"	0.0688997
"Boston Herald"	0.0686861
CNET	0.0685933
"British Broadcasting Corp."	0.0684813
"Fox Sports Net"	0.0653064
"ABC News"	0.0643138
"Turner Sports"	0.0638041
Priceline.com	0.0636445
"USA TODAY"	0.0636151
"Hongkong Telecom"	0.0634801
"Philadelphia Inquirer"	0.0626951
TheStreet.com	0.0626927
Travelocity	0.0619114
"Microsoft Network"	0.0618795
Caldor	0.0618255
AltaVista	0.061308
"Chicago Tribune"	0.0610294
Inktomi	0.0607904
theglobe.com	0.0605219
"New York Times Co."	0.0596838
"Free Press"	0.0595046
"El Pais"	0.0594248
"Des Moines Register"	0.0593822
"House Budget Committee"	0.0585904
DrKoop.com	0.0585788
"Go Network"	0.0582658
TNN	0.0574584
Edelman	0.057026
CDnow	0.0563634
Salon.com	0.0560835
"Ask Jeeves"	0.0554211
"National Public Radio"	0.0552898
RealNetworks	0.0552614
Buy.com	0.0539619
"Washington Times"	0.0539082
Inquirer	0.0538806
"Seattle Post-Intelligencer"	0.0536318
PATHFINDER	0.0531181
"Cincinnati Enquirer"	0.053023
"Sydney Morning Herald"	0.0528442
Britannica	0.0524142
"New York Daily News"	0.0523096
"CBS News"	0.0521043
"Sharper Image"	0.0519306
"Discovery Channel"	0.0511458
Newsday	0.0510718
"J.C. Penney"	0.0506382
"Bloomberg News"	0.0505571
Drugstore.com	0.0502448
Reforma	0.0500708
"Vietnam Airlines"	0.0496001
tripod	0.0495265
"Barnes &AMP; Noble"	0.0493867
iVillage	0.0488158
Kinko	0.0485793
Televisa	0.0485031
GO.com	0.0484276
"Fox Sports News"	0.0482476
Broadcast.com	0.0481708
"Wal-Mart Stores"	0.0481597
ADL	0.0480509
E-Trade	0.0479977
Pets.com	0.0478676
Reel.com	0.0477691
"Advanced Micro"	0.0476276
Maariv	0.0474027
Whitsitt	0.0470388
"National Journal"	0.0470214
Daiwa	0.0469662
"Seattle Times"	0.0468453
Schell	0.0467796
Wada	0.046613
KU	0.0466084
Expedia	0.0462666
China.com	0.0460715
ATHOME	0.0458318
EA	0.0458244
Asahi	0.0456156
"Gannett Co."	0.045266
TrustE	0.0452091
"Golf Channel"	0.0451452
MSN	0.0451386
Sega	0.0451362
Tran	0.0450208
Zogby	0.044966
"Small Business Administration"	0.0448964
"Yahoo Inc."	0.0448555
"Al-Aqsa Mosque"	0.044644
Soma	0.044584
snap.com	0.0444178
WebMD	0.044395
"Orange County Register"	0.0442443
Andreessen	0.0440816
Golcuk	0.0440128
"Diamond Multimedia"	0.0439507
NTRA	0.0439059
"New York Observer"	0.043705
"Kansas City Star"	0.0436604
MPAA	0.0436449
"Raging Bull"	0.0436063
"Home Shopping Network"	0.0436051
"Jim Harrick"	0.043339
"ABC Sports"	0.0432914
"Thermo Electron"	0.0432113
"Diamond Mountain"	0.0431284
Wolfson	0.0426534
PictureTel	0.0426339
Star-Telegram	0.042615
MarketWatch.com	0.0425472
"Time Inc."	0.0424745
RCN	0.0424651
GANNETT	0.0423983
Camacho	0.0423883
"Dow Jones Newswires"	0.042349
Ahold	0.0420511
Bloomberg	0.0419813
"Voter News Service"	0.0419279
GQ	0.0417262
"National Thoroughbred Racing Association"	0.041644
"Fox News"	0.0415025
"World News Tonight"	0.0414772
Notimex	0.0414606
"Islamic Development Bank"	0.0413118
"Humane Society"	0.0412277
"Cable News Network"	0.0412221
"Southern Co."	0.041131
Equifax	0.041051
Carlsberg	0.041035
"Colonial Williamsburg"	0.0410182
CNBC	0.0410093
Ava	0.0409588
"Atlanta Constitution"	0.0408641
"wire service"	0.0406569
"Business Times"	0.0405106
CompUSA	0.0405074
APTN	0.0404503
Boo.com	0.0403914
Asda	0.0402801
"Kenya Airways"	0.0401559
APTV	0.0401452
"Sky TV"	0.0401287
iTV	0.0401143
"Andersen Consulting"	0.0400794
"Hitachi Ltd."	0.0400706
))
(CBS-TV (desc 1345.49) (sims
ABC-TV	0.240084
NBC-TV	0.210101
"Dateline NBC"	0.168722
"Fox TV"	0.144338
"Fox News Channel"	0.137871
"CBS News"	0.123367
"Late Edition"	0.122774
Nightline	0.120009
"Good Morning America"	0.116323
"British Broadcasting Corp."	0.109593
"Turner Classic Movies"	0.108416
"NBC News"	0.107625
"Entertainment Tonight"	0.106479
"Larry King Live"	0.10568
"Food Network"	0.105104
CNBC	0.10485
BBC	0.103091
PBS	0.101594
"USA Network"	0.0976751
C-Span	0.0966492
CBC	0.0928689
"television news"	0.0925133
"Pax TV"	0.0924719
MSNBC	0.0913711
"National Public Radio"	0.0905035
"Golf Channel"	0.0896406
"History Channel"	0.0871351
TNT	0.0856096
"ABC News"	0.0851202
"Nashville Network"	0.0837942
primetime	0.0825297
ESPN@	0.0822555
APTN	0.0816651
"Radio Liberty"	0.0812179
CNN/SI	0.0803808
"Cable News Network"	0.0794749
"TV network"	0.0788593
"Fox Sports"	0.0775484
"Today Show"	0.0765501
hourlong	0.0765018
"Voice of America"	0.0764089
one-hour	0.0757936
NPR	0.0752935
"Fox Sports News"	0.0751296
UPN	0.0749295
VH@	0.0735755
Nickelodeon	0.0710467
Showtime	0.0705043
"Fox News"	0.0701634
"Early Show"	0.0700951
"Fox Sports Net"	0.0700947
"Channel @"	0.0686004
"Comedy Central"	0.0685029
"Barbara Walters"	0.0668983
"Jerry Springer"	0.0659542
"Turner Sports"	0.0657392
"Tonight Show"	0.0648652
"Disney Channel"	0.0641526
"Channel @@"	0.0638919
"TV program"	0.0636306
TNN	0.0634953
bravo	0.0630143
QVC	0.0628908
"Discovery Channel"	0.062585
"news program"	0.0625797
"Court TV"	0.0625683
CCTV	0.0618549
"CBS Evening News"	0.0612345
"Earth Day"	0.0602607
"CBS Sports"	0.0601245
"news show"	0.0600034
"Late Night"	0.0593461
"television program"	0.0588107
NewsHour	0.0586324
SportsCenter	0.0565284
"Israel Radio"	0.0559419
"Larry King"	0.0546087
"U.S. Soccer Federation"	0.0545581
three-hour	0.0537545
Izvestia	0.0534825
"International Hockey League"	0.0531277
SSB	0.0521498
"Late Show"	0.0520808
Sinclair	0.0517681
Post-Intelligencer	0.0517496
"Fox Network"	0.0514778
Opry	0.0511271
"ABC Sports"	0.0508008
newsmagazine	0.0503719
"Conan O'Brien"	0.0495491
four-hour	0.0494048
NTV	0.0493768
"China Central Television"	0.0492702
O'Brien's	0.0490488
"Don Imus"	0.0488717
APA	0.0488245
"TV Land"	0.0487258
"Sesame Street"	0.048521
tailwind	0.0482566
NOVA	0.0479456
sit-down	0.0476525
PAX	0.0476333
DMA	0.0475538
"Emmy Awards"	0.0474645
Caddell	0.0474108
Walters	0.0471861
celeb	0.0470171
"New Straits Times"	0.0465793
Aliev	0.0464859
Dateline	0.0464449
"El Pais"	0.0464134
postgame	0.0463884
Pacifica	0.0457773
Edelman	0.0456981
Ghalib	0.0453982
"closed circuit"	0.0451129
UAM	0.0447435
WMUR-TV	0.0443498
Dior	0.0442087
Telemundo	0.0441859
Forrester	0.044182
CMA	0.0437858
iTV	0.0435889
"Detroit Free Press"	0.0433711
"Jerry Springer Show"	0.0433532
Nitro	0.0432164
Webcast	0.0431585
USTA	0.0430695
PDVSA	0.0426761
"Cartoon Network"	0.0417179
Moneyline	0.0413811
B@@	0.0411753
"Who Wants to Be a Millionaire"	0.0411153
BURNHAM	0.0410954
"Denver Post"	0.0410477
ORT	0.0408648
NARAL	0.0408048
NHK	0.0407475
"video screen"	0.0407085
"Lincoln Center Theater"	0.0406184
Univision	0.0405409
ICA	0.0405343
"Dan Rather"	0.0404728
Ringling	0.0400565
))
(CC (desc 3221.36) (sims
AmCham	0.0691872
WEF	0.0498241
CSC	0.0489261
"Dana Quigley"	0.0464491
Muppets	0.0460932
"World League"	0.0435415
CPAFFC	0.0428297
CCPIT	0.0421222
PCC	0.0409711
))
(CCA (desc 1027.07) (sims
CSA	0.143734
KPA	0.133694
Kimbell	0.133689
JAL	0.129006
Starwood	0.122618
HKFA	0.121128
Lucasfilm	0.120106
USEC	0.119768
NORTHROP	0.118052
WEF	0.116442
CPAFFC	0.115969
ExciteAtHome	0.11157
CCPIT	0.111511
NCI	0.108132
ENTREMED	0.107482
CFTC	0.107284
VENATOR	0.106875
BofA	0.105497
IMS	0.103937
NSA	0.103613
DEP	0.1036
PBC	0.103476
Ringling	0.103243
"Thermo Electron"	0.103064
NHTSA	0.101614
"Department of Environment"	0.0986635
DMA	0.0986077
SFA	0.0985469
"Washington Mutual"	0.0981084
ENTERGY	0.0964208
Nepa	0.0961102
HCFA	0.0958878
"KCP&AMP;L"	0.0949181
"Israeli Foreign Ministry"	0.0941357
ALZA	0.093662
Nomura	0.0933088
"Energy Department"	0.0926575
PICC	0.0918127
Aetna	0.0916924
Broderbund	0.0916528
SSE	0.0915911
"Nippon Credit"	0.0913297
Sunbeam	0.0911469
ATC	0.0910423
HKTA	0.090756
Alltel	0.0907523
Seagate	0.0907006
CFA	0.0906969
MFA	0.0906604
Providian	0.0905968
Sibneft	0.0903757
TDB	0.0903361
Cathay	0.0901794
"Sara Lee"	0.0878122
Overnite	0.0877788
BOC	0.0877333
ICBC	0.0869983
SDPC	0.0869007
TDC	0.0867594
ZIFF-DAVIS	0.0865066
Northpoint	0.0864255
"British Foreign Office"	0.0862538
LTCB	0.085932
MII	0.0857767
BSO	0.0857208
CNTA	0.0854108
USTA	0.08538
Humana	0.0853319
AMC	0.0848238
Marketspan	0.0846896
CNOOC	0.0846185
"U S West"	0.084539
Bristol-Myers	0.0844622
"Education Department"	0.0842605
AOC	0.0840838
PBOC	0.0832562
CNPC	0.0822672
PSE	0.0821749
FEMA	0.0817114
"China Telecom"	0.0814336
ICA	0.0813183
"Scotland Yard"	0.0811661
Smithsonian	0.0811308
IAI	0.0807694
Loral	0.0804458
MLB	0.0803166
CSC	0.0799223
Bridgestone	0.0798687
"Federal Reserve Bank of New York"	0.0798649
"Con Ed"	0.0797445
Schwab	0.0796456
Folsom	0.0793571
NTL	0.0792488
Eurotunnel	0.0791753
Lilco	0.0791231
F.A	0.0788008
CAS	0.0786997
CCB	0.0785219
Massport	0.0785049
NCR	0.0784088
GANNETT	0.0783665
Emulex	0.078295
MetLife	0.0782367
Nikko	0.0781362
CCF	0.0779786
Checkfree	0.0778749
"Ford Motor Company"	0.0778012
Raytheon	0.07761
UAM	0.0774971
"Health and Welfare Ministry"	0.077447
BCE	0.0773635
"U.S. Golf Association"	0.0772874
"Gulf Air"	0.0771582
SSB	0.076916
"Vietnam Airlines"	0.0768664
USOC	0.0768319
"Hong Kong Monetary Authority"	0.0767896
BIA	0.0763355
BNFL	0.076227
Omnipoint	0.0756867
SDB	0.0756105
RIAA	0.0753619
Yaddo	0.0753559
RJR	0.0752104
"Boeing Co."	0.0751591
ACWF	0.0750494
SEPA	0.0749369
DoCoMo	0.0748904
Penney	0.0748383
Daimler	0.0746913
CAA	0.0743439
Glaxo	0.0743218
MiniMed	0.0741144
BLM	0.07409
Paxson	0.0740715
Cargill	0.0740122
Genzyme	0.0739125
"Y&AMP;R"	0.0737985
"U.S. Treasury Department"	0.0736533
"French Foreign Ministry"	0.073512
Guggenheim	0.0734613
AHP	0.0733546
"Blue Cross"	0.0733355
TELLABS	0.0732857
Moma	0.0732347
HHS	0.0731059
"Royal Bank"	0.0730056
Amtrak	0.073002
"Sdn Bhd"	0.0727894
Asarco	0.0726902
Bestfoods	0.0726803
"Pitney Bowes"	0.0726268
CAAC	0.0725727
"San Quentin"	0.0724968
ISU	0.0722934
AutoNation	0.0720885
BankBoston	0.0720674
CBI	0.0719896
COLTEC	0.0719842
"PG&AMP;E"	0.0718943
"Department of Motor Vehicles"	0.0718928
"Smithsonian Institution"	0.0717218
NiSource	0.0716121
"Russian Orthodox Church"	0.0712081
SMI	0.0711966
FSA	0.0709174
"Forest Service"	0.0708679
SGI	0.0708251
IMG	0.0705487
"Sky Harbor"	0.0705045
ECA	0.0704686
"Dayton Hudson"	0.0704395
JetBlue	0.0703807
Corcoran	0.0702771
Ribbeck	0.0701384
"Brooklyn Museum"	0.0700894
"American Home"	0.0700058
UTC	0.0699958
CMGI	0.0698629
Frick	0.0698141
"Education Ministry"	0.0697338
iXL	0.0696881
BOI	0.069669
Getty	0.0695694
VFW	0.0695616
"Bank of America"	0.0694576
CIRC	0.0694353
CCE	0.0694058
Stroh	0.0692992
"Fred Meyer"	0.0692563
Sepracor	0.0691141
"Health Department"	0.0690375
"US West"	0.0687766
Weyerhaeuser	0.0687126
Astra	0.0686471
Butyrskaya	0.0685551
"High Museum of Art"	0.0685384
PaineWebber	0.0685196
Conseco	0.0684279
"Georgia Power"	0.0682932
))
(CCB (desc 2249.82) (sims
ICBC	0.405984
BOC	0.344388
SDB	0.286044
Eximbank	0.257537
PICC	0.21299
CDB	0.199051
PBOC	0.183338
PBC	0.169463
CNOOC	0.1484
COSCO	0.146829
HKMA	0.141412
EBRD	0.140876
CITIC	0.138084
CIRC	0.136726
"Bank of China"	0.134981
CNPC	0.130365
Unicom	0.129929
"State Development Bank"	0.129548
UTC	0.127011
CPAFFC	0.123034
LTCB	0.121172
"Industrial and Commercial Bank of China"	0.120778
ADB	0.119545
"China Unicom"	0.119076
"Nippon Credit"	0.118856
CSC	0.118784
"China Construction Bank"	0.117724
HSBC	0.115137
ACWF	0.112492
"China Telecom"	0.111852
CCPIT	0.110123
CSRC	0.108774
SSB	0.10876
CAS	0.107657
"Russian Space Agency"	0.107603
"Bangkok Bank"	0.106957
TYCO	0.106478
IDB	0.105954
Citibank	0.105816
IFC	0.105689
CCF	0.105123
"EU Commission"	0.104784
Norwest	0.104045
Sumitomo	0.0989487
"Con Edison"	0.098807
"U.S. Golf Association"	0.0978954
Qinghua	0.0977629
SDPC	0.0964552
"Iranian Foreign Ministry"	0.0959647
Starwood	0.0957214
NIH	0.0956904
"Bank of America"	0.0949591
"Bank of Communications"	0.0948141
EC	0.0945863
"Agricultural Bank of China"	0.0945003
CASS	0.0944834
"Niagara Mohawk"	0.0943446
"U.S. Soccer Federation"	0.0937515
SPC	0.0936688
Barclays	0.0930779
NEC	0.0930759
"British Foreign Office"	0.0929789
HKFA	0.0916547
"Thai Foreign Ministry"	0.091464
Ericsson	0.0913603
"Airport Authority"	0.091328
MSF	0.0911072
AHP	0.0906723
SETC	0.0906711
"Societe Generale"	0.090561
CAAC	0.0904814
ARATS	0.0901331
"Hongkong Telecom"	0.0900039
Commerzbank	0.0899402
"Allied Pilots Association"	0.0899141
ACFTU	0.089775
"Visa International"	0.0895875
"U.S. Immigration and Naturalization Service"	0.0895666
"Deutsche Bank"	0.0895537
"National Association of Broadcasters"	0.0889943
"Air Line Pilots Association"	0.0888517
"ABC Sports"	0.0880022
OCA	0.0878927
"International Amateur Athletic Federation"	0.0878263
UNAMET	0.087611
IMS	0.0873355
"Justice Ministry"	0.0871726
"Defense Agency"	0.0871689
"Washington Mutual"	0.0870834
"Computer Associates"	0.0868533
UBS	0.0864053
CBC	0.0860859
"Department of Public Safety"	0.0859105
IAI	0.0858271
BankBoston	0.0857588
TDC	0.0856464
"Air China"	0.0856339
"News Corp."	0.0847101
NARAL	0.0845845
"French Foreign Ministry"	0.0845799
"Education Department"	0.0843196
CWA	0.0840548
FPL	0.0840459
SBC	0.0835273
DLC	0.0830591
"Truth Commission"	0.082847
"Handgun Control"	0.082565
Sinopec	0.0824555
BofA	0.0822007
"Chinese Foreign Ministry"	0.082122
OPIC	0.0818508
ICA	0.0813134
"municipal government"	0.0811078
Wyeth-Ayerst	0.0810648
RJR	0.080626
SFC	0.0804254
"Russian Defense Ministry"	0.0803519
UNIDO	0.0802381
BOI	0.0802233
Daewoo	0.0797882
Asa	0.079672
"British government"	0.0796152
Unilever	0.0795506
BNFL	0.0792525
GEC	0.0792191
Medtronic	0.0790953
"Rotary International"	0.0789721
"China Southern Airlines"	0.0789696
McKesson	0.0788606
Schwab	0.0786887
CCA	0.0785219
UCI	0.0784146
"European Bank for Reconstruction"	0.0784008
MII	0.078347
"transit authority"	0.078184
DEP	0.0781036
"Xinhua News Agency"	0.0780549
BOK	0.0779555
"Commerce Ministry"	0.0779362
USAID	0.0779343
"Motion Picture Association of America"	0.0778769
"Health Department"	0.0777718
"Health and Welfare Ministry"	0.0772522
IDF	0.0771578
"Time Warner Cable"	0.0771297
SSE	0.0771122
"Wells Fargo"	0.0770067
"Association of Flight Attendants"	0.0768521
"Agriculture Ministry"	0.0766881
CBK	0.0765433
FEMA	0.0765272
"American Association of Health Plans"	0.0765263
"Texas Department of Public Safety"	0.0764815
CSX	0.0764343
"Construction Bank of China"	0.0764328
"Israeli Foreign Ministry"	0.0763679
"Nortel Networks"	0.0761998
CSA	0.0761187
MBNA	0.0758941
"Export-Import Bank"	0.0757312
"Main Events"	0.0754313
EarthLink	0.075386
"Board of Elections"	0.0753747
NCR	0.0753624
Siemens	0.0752905
"executive agency"	0.0752648
"commercial bank"	0.0752309
CAA	0.0750213
CFA	0.0749412
"Department of Health and Human Services"	0.0747193
"billion over @@ years"	0.0746921
"Russian Foreign Ministry"	0.0746245
"Chinese government"	0.0745944
"Canadian International Development Agency"	0.0743318
SunTrust	0.0740081
"Texas Department of Health"	0.0739945
"Home Ministry"	0.0739418
Sybase	0.0737779
"Business Council"	0.0737769
"Con Ed"	0.0737343
"Red Cross"	0.0737316
CAF	0.0737275
"Log Cabin Republicans"	0.0737015
"Shanghai Branch"	0.0736849
"Coca-Cola Co."	0.0736336
Corning	0.0735549
"Scotland Yard"	0.0735066
"Pac Bell"	0.0734904
"Australian Olympic Committee"	0.0733013
"Transportation Department"	0.0732573
PETA	0.0731728
USOC	0.0728725
"First Union"	0.0728558
Raytheon	0.0727989
"Ministry of Education"	0.0727654
JAL	0.0727214
"Southern Co."	0.0726815
NCEC	0.0724831
IEC	0.0724236
"New York Public Library"	0.0724167
))
(CCC (desc 1260.98) (sims
JMC	0.13261
Wada	0.123326
CMAG	0.11791
"World Intellectual Property Organization"	0.0987307
AmCham	0.0951035
"U.S. Soccer Federation"	0.0941993
CRC	0.0865329
WEF	0.0845334
CDB	0.0821876
"jockey club"	0.0803324
CCPIT	0.078522
"Audubon Society"	0.0780593
"Salt Lake Organizing Committee"	0.0775463
NSC	0.0773334
MPAA	0.0770773
EC	0.0759298
PATA	0.0758117
OAS	0.0755688
TDB	0.0755556
HKFA	0.0744533
"Kosovo Verification Mission"	0.0732672
"Los Angeles City Council"	0.0732345
MDC	0.0729641
CSA	0.0726761
EOHR	0.0722772
CMA	0.0721384
APA	0.071149
MMD	0.0697668
INEC	0.0694035
"International Badminton Federation"	0.0690256
HKMA	0.0679139
"Urban League"	0.0678562
AA	0.0677694
ADL	0.0672273
"Central Election Commission"	0.0671412
"Academy of Motion Picture Arts"	0.066327
DSE	0.066062
"Health and Welfare Ministry"	0.0659797
FDIC	0.065341
ACOG	0.0652656
"CBS Sports"	0.0649086
"Carter Center"	0.0647871
SAirGroup	0.0647705
"New York Civil Liberties Union"	0.0646053
"Department of Environment"	0.0645771
CEC	0.0645648
DMA	0.0642975
TrustE	0.0641556
"Chinese NPC"	0.0640883
BLM	0.0635743
"Humane Society"	0.063297
"Hong Kong Tourist Association"	0.063223
HHS	0.0632013
NASD	0.0631099
UNFICYP	0.0630413
"Sporting News"	0.0625868
"Capital Airport"	0.062364
"Port Authority"	0.0623135
TDC	0.0623026
Tat	0.0622456
IEA	0.0621834
Interpol	0.0619739
DAP	0.0618815
reversers	0.0614986
NDP	0.0613751
"Russian Duma"	0.0610533
"Housing Authority"	0.060872
"Christian Coalition"	0.060621
PCC	0.0605494
NTSB	0.0604584
AEC	0.0604575
reverser	0.0604375
PictureTel	0.0604247
FOMC	0.0601452
CIRC	0.0599189
ACB	0.0597643
CPF	0.0597402
Histadrut	0.0596023
ABA	0.0595786
"United Way"	0.0591545
CSE	0.0587947
ECB	0.0586222
ITU	0.0583085
"private foundation"	0.0579713
"English Football Association"	0.0579364
COSCO	0.0577752
ESCAP	0.0576506
"National Journal"	0.0575989
"National Urban League"	0.0575378
"National Thoroughbred Racing Association"	0.0574886
"U.N. Office"	0.0574109
CSC	0.0573283
Spyglass	0.057282
"Wine Institute"	0.0572687
"Thermo Electron"	0.057057
CUC	0.0570199
"Public Security Ministry"	0.0569822
"Supreme Council"	0.0567554
plc	0.0564795
"Media Metrix"	0.056306
telomerase	0.0562449
UPU	0.0560136
UNP	0.0559789
E.U	0.0558101
KLSE	0.0557984
GEF	0.0557181
Sibneft	0.0557116
"Federal Reserve Bank of New York"	0.0556544
ATC	0.0555946
Fiedler	0.0555596
Greenpeace	0.0554753
ITF	0.0553893
MKO	0.0553505
ATA	0.0552611
Directorate	0.055212
"Transparency International"	0.0551478
NARAL	0.0551011
Ava	0.0550784
"Freedom Forum"	0.055047
CPAFFC	0.0549812
"U.S. Golf Association"	0.0549784
Caldor	0.0549545
AMF	0.0548856
KKK	0.0548797
"Air Lanka"	0.05478
BSA	0.0547612
"NFL Players Association"	0.0547209
"PLO Executive Committee"	0.0544566
JLG	0.054453
"Network Solutions"	0.054389
"Olympic Committee"	0.0543453
ADB	0.0543401
ISO	0.0542529
"Palestinian Council"	0.0542286
USOC	0.0541264
"Common Cause"	0.0540706
WIPO	0.0540027
PETA	0.0538422
"Congressional Black Caucus"	0.0538383
"Senate Governmental Affairs Committee"	0.0537898
UPI	0.0537486
"Home Ministry"	0.0537303
FAO	0.053678
"Rules Committee"	0.0535337
UUP	0.0532624
OPIC	0.0532458
IEC	0.053228
IDB	0.0531518
USATF	0.0531224
"local department"	0.0530054
"Times Co."	0.0529475
OECD	0.052789
"work group"	0.0527194
EPR	0.0526441
MTA	0.0524911
SLOC	0.0523835
Dragonair	0.0523752
UNICEF	0.0522333
IAEA	0.0522158
NEA	0.052152
NGO	0.0520706
ILO	0.0518741
Dar	0.0517836
UDM	0.051595
"point system"	0.0514279
GPU	0.0512543
SPS	0.0512259
Tenneco	0.0512258
AMC	0.0512174
"International Ski Federation"	0.05121
Lipper	0.051205
NDF	0.051203
NRC	0.0510168
"U.N. agency"	0.0510131
"National Association of Broadcasters"	0.0509113
EarthLink	0.0508906
"Ethics Commission"	0.0508808
AutoNation	0.0508719
"U.N. World Food Program"	0.0508011
RIAA	0.0506734
"Palestine National Council"	0.0505917
"International Red Cross"	0.050565
CSRC	0.0504955
CCF	0.0504807
Asarco	0.0503692
"Football Association"	0.0503133
CWC	0.0502813
"Nevada Athletic Commission"	0.0502176
"District Council"	0.0501927
Halliburton	0.0501266
"House Budget Committee"	0.0500697
"National Association of Realtors"	0.0500517
"Amnesty International"	0.0499723
UNDCP	0.0499019
"Dell Computer Corp."	0.049781
PSC	0.0496515
DPP	0.0496508
HKTA	0.0496315
"Public Service Commission"	0.0495908
"Board of Elections"	0.0495282
))
(CCE (desc 2375.38) (sims
"Coca-Cola Enterprises"	0.250035
Cadbury	0.227821
RJR	0.200031
"Pepsico Inc."	0.186583
Georgia-Pacific	0.178471
VENATOR	0.171609
Gillette	0.163734
Pepsico	0.162735
Scientific-Atlanta	0.160453
"P&AMP;G"	0.159557
"J&AMP;J"	0.158962
"Gap Inc."	0.156642
Biogen	0.155515
Starwood	0.154462
UAL	0.148494
Kodak	0.148015
Mattel	0.14638
bottler	0.146371
TYCO	0.146057
"Thermo Electron"	0.142544
UTC	0.142051
ENTREMED	0.141499
NORTHROP	0.140506
Emulex	0.139359
McKesson	0.137912
NiSource	0.1377
"Waste Management"	0.136854
Pitney	0.136751
Federated	0.136172
Pepsi	0.136064
MiniMed	0.135945
"Coca-Cola Co."	0.135782
Nortel	0.135464
"Times Mirror"	0.132793
Kellogg	0.132625
"Dayton Hudson"	0.131518
PLDT	0.130248
Genentech	0.12984
"Boston Scientific"	0.12932
Checkfree	0.128896
"HBO &AMP; Co."	0.128375
Seagate	0.128281
ascend	0.126688
Sunbeam	0.126225
"Times Co."	0.126051
Raytheon	0.125205
Cendant	0.124544
Ciena	0.123512
BankAmerica	0.122972
Warner-Lambert	0.122917
Equifax	0.121939
Delphi	0.12154
SmithKline	0.121142
AlliedSignal	0.120665
XYLAN	0.120639
EMC	0.12058
MACROMEDIA	0.119977
Maytag	0.119707
ENTERGY	0.118927
AMR	0.118181
Penney	0.118155
"Procter &AMP; Gamble Co."	0.117273
Cabletron	0.117112
Heinz	0.116643
Chiron	0.115348
"Advanced Micro"	0.115182
"Pacific Century"	0.114811
coke	0.114536
Nabisco	0.114196
"Sara Lee"	0.114042
WPP	0.113965
Weyerhaeuser	0.113838
Asda	0.113057
ALZA	0.112931
"Procter &AMP; Gamble"	0.112618
WebMD	0.112528
ExciteAtHome	0.11249
Berkshire	0.112346
Pairgain	0.112323
Tropicana	0.111278
"Gillette Co."	0.111101
E-LOAN	0.110825
"KCP&AMP;L"	0.110494
SGI	0.11035
Coca-Cola	0.110123
GANNETT	0.109977
Amgen	0.109951
bottlers	0.109819
"Stride Rite"	0.109737
Healtheon	0.108783
Cargill	0.108774
Lockheed	0.108602
"Con Ed"	0.108481
Genzyme	0.10823
Corel	0.107945
"Sharper Image"	0.107851
Alcoa	0.107814
Goodyear	0.10766
Halliburton	0.107543
Petrofina	0.107497
Honeywell	0.107413
"Rite Aid"	0.106992
Norwest	0.10671
Bestfoods	0.106665
BellSouth	0.106409
Tenneco	0.106141
"RJR Nabisco"	0.106025
"MindSpring Enterprises"	0.105408
"Bausch &AMP; Lomb"	0.105318
Webvan	0.105294
Seagram	0.10517
Healtheon/WebMD	0.104289
Pfizer	0.1041
IDT	0.104011
"Computer Associates"	0.103938
COLTEC	0.103914
"Dow Chemical"	0.103854
"Lockheed Martin"	0.103771
CMGI	0.103734
"International Paper"	0.103563
Litton	0.103454
Dupont	0.103257
Alltel	0.103191
"American Home"	0.103176
ARCO	0.103046
"Union Carbide"	0.102784
Warnaco	0.102609
"True North"	0.102541
HP	0.102468
HBOC	0.102175
Providian	0.102035
Pharmacia	0.101905
Merck	0.101867
DaimlerChrysler	0.101392
"First Union"	0.101317
Paxson	0.101002
Gymboree	0.100976
"Cox Communications"	0.10094
Texaco	0.100302
Ba	0.100278
CUC	0.100222
Sepracor	0.100124
EarthLink	0.100011
CNOOC	0.0996091
Smithfield	0.0993986
Agilent	0.0993223
Chevron	0.0993162
Dell	0.098831
Aetna	0.098612
Cisco	0.0982816
"Berkshire Hathaway"	0.0978359
Motorola	0.0977586
RAMBUS	0.0977434
Merrill	0.0974459
AIG	0.0968745
Totalfina	0.0968635
"State Street"	0.0961857
NCR	0.0961407
Infoseek	0.0959425
"Dell Computer"	0.0959273
Qualcomm	0.0958158
Clorox	0.0958074
PictureTel	0.0957529
Scripps	0.0956656
Nestle	0.0955397
CompUSA	0.09532
Kmart	0.095055
Peapod	0.0949954
CNET	0.0949075
Compaq	0.0947566
Glaxo	0.0942431
"Ford Motor Company"	0.0941971
MindSpring	0.0939323
"Delta Air Lines"	0.0938382
Humana	0.0937462
Xerox	0.0934861
"Oracle Corp."	0.093437
Citigroup	0.0932876
Viacom	0.0932672
USEC	0.0932109
"National Grid"	0.0930776
REVLON	0.0928683
Unilever	0.0925504
"MCI WorldCom"	0.0925454
Bristol-Myers	0.0922961
Micron	0.0921997
"Ford Motor"	0.0918849
Broadcom	0.0918351
AutoNation	0.0916536
"News Corp."	0.0909642
BankBoston	0.0909019
"U.S. Trust"	0.0908082
UBS	0.0907619
"Knight Ridder"	0.0905773
Marketspan	0.0903318
Tandy	0.0903094
"Silicon Graphics"	0.0902493
Alcan	0.0902408
FPL	0.090114
Broderbund	0.0900879
))
(CCF (desc 688.994) (sims
CIRC	0.206844
CCPIT	0.194246
ACFTU	0.188053
CPAFFC	0.187315
"Ford Motor Company"	0.177934
DAP	0.164665
ARATS	0.158129
PBSI	0.149417
WEF	0.149012
AmCham	0.146743
HKFA	0.145232
"Sea Launch"	0.144522
BSA	0.142784
IEC	0.14247
ACWF	0.140529
"Red Cross Society"	0.140516
"World Vision"	0.140096
ICA	0.136321
"China Youth Development Foundation"	0.135171
"U.S. Golf Association"	0.129685
CSC	0.12949
"Operation Rescue"	0.129386
CSRC	0.128862
CSA	0.126781
"Rotary International"	0.126496
CITIC	0.124581
CAA	0.124419
CNOOC	0.124046
NDP	0.12324
DLC	0.123164
CDB	0.122521
HKTA	0.12181
Tat	0.120663
KONI	0.120168
SPS	0.120071
MBNA	0.119409
CNTA	0.119105
CNPC	0.118909
SEF	0.118449
UTC	0.117212
"Rainbow/PUSH Coalition"	0.117067
PICC	0.116905
MSF	0.116281
"Chinese Olympic Committee"	0.115915
IAI	0.115576
CAS	0.114415
GEF	0.113933
NKP	0.112839
CFA	0.112594
"International Society"	0.112308
BOC	0.112011
SCLC	0.11143
Histadrut	0.110932
NRM	0.110154
FSA	0.10963
ITU	0.109187
"House International Relations Committee"	0.108633
UNIP	0.108066
SFA	0.10744
KPA	0.107413
IEA	0.107389
NASD	0.107358
UNAMET	0.105357
CCB	0.105123
Totalfina	0.104941
Laban	0.104837
SPC	0.104725
CSE	0.104079
TDC	0.103814
"Defense Agency"	0.103604
"Dow Jones &AMP; Co."	0.103084
NTSB	0.10246
COSCO	0.10171
"Israeli Foreign Ministry"	0.101287
"American Association of Health Plans"	0.101273
SDB	0.101114
ENTREMED	0.100627
ICBC	0.10062
CMC	0.0998123
INEC	0.0996504
"Macao Government"	0.0992702
RCD	0.0991421
FEMA	0.098644
OCA	0.0986223
SDP	0.0983071
UMNO	0.0982913
"China Society"	0.0974422
FN	0.0971882
"Chinese NPC"	0.0967938
"Federal Reserve Bank of New York"	0.0961721
"Medical Society"	0.0956384
NLD	0.0955973
"Senate Governmental Affairs Committee"	0.0955008
"billion over @@ years"	0.0951609
"Hong Kong Federation"	0.0948368
"Health and Welfare Ministry"	0.0945061
EC	0.0944553
UDF	0.0944068
Kanu	0.0941873
PECC	0.0937597
"Olympic Committee"	0.0933585
PNP	0.0929278
Eximbank	0.0926206
"Housing Authority"	0.0926002
CEC	0.092555
"House Budget Committee"	0.0925398
OPIC	0.0924745
"International Brotherhood"	0.0917059
DP	0.0913622
NiSource	0.0907525
USAID	0.0904603
"Banking Committee"	0.0904274
Sino-Japanese	0.090147
LIFFE	0.089837
"Project Hope"	0.0894394
PATA	0.0892138
Qinghua	0.089149
ITTF	0.0887838
"Delta @"	0.0885203
BIA	0.0884628
BSF	0.0883198
SDS	0.0882174
"Fannie Mae"	0.0881733
FAO	0.0879119
NSC	0.087888
MII	0.0872918
"Organizing Committee"	0.0871985
"machinists union"	0.0871777
"All-China Journalists Association"	0.0870772
"Foreign Relations Committee"	0.0870576
NARAL	0.0869319
"Thai Farmers Bank"	0.0867353
AOC	0.0866835
"American Red Cross"	0.0864473
"Georgia Power"	0.0862718
RPR	0.0862138
"Senate Budget Committee"	0.0855365
"Shanghai Branch"	0.0853307
RNC	0.0850524
PDI	0.0850446
"Andean Group"	0.0848441
"Ways and Means Committee"	0.0847505
"Local @@"	0.084706
Renamo	0.0845939
"Rules Committee"	0.0845205
KDP	0.0844062
SPDC	0.0843493
"Sdn Bhd"	0.0839445
MMD	0.0839429
Medtronic	0.0838987
"PLO Executive Committee"	0.0838794
CPP	0.0837615
"Democratic Senatorial Campaign Committee"	0.0837159
MDC	0.0837001
EBRD	0.083682
DSE	0.0836817
CSX	0.0834823
"Catholic Charities"	0.083467
CASS	0.0834265
U.S.-Russian	0.0834135
"Republican House"	0.0832782
CCM	0.0828809
OAS	0.0828193
"Association for Relations Across"	0.0826705
ama	0.0826497
"National Action"	0.0826106
"World Meteorological Organization"	0.0824786
BOI	0.0824681
"EU Commission"	0.0824411
IPU	0.082243
"Electoral Commission"	0.0822255
"International Red Cross"	0.0821869
"CPPCC National Committee"	0.0819662
NEA	0.0818654
"Australian Olympic Committee"	0.0816797
CBI	0.0816208
OECD	0.0816074
YankeeNets	0.081393
Lakas-NUCD	0.0813805
"National Federation"	0.0810495
"National Trust"	0.0808056
TDB	0.0807632
FORD-Kenya	0.0806574
"Salt Lake Organizing Committee"	0.0806268
UNTAET	0.0805981
FRELIMO	0.0805374
MHP	0.0805336
"National Defense Commission"	0.0804154
MCA	0.0803745
SDPC	0.0803434
"Public Security Ministry"	0.0803079
"Truth Commission"	0.0801337
Starwood	0.0799734
"Legend Group"	0.0799492
CAAC	0.0799277
"Baath Party"	0.0798713
CPS	0.0797959
"Atomic Energy Commission"	0.0797217
"Pacific Exchange"	0.079457
CWA	0.0794449
))
(CCM (desc 3322.64) (sims
Zanu-pf	0.171565
CUF	0.170703
UNIP	0.150223
PDP	0.147639
Golkar	0.143925
"National League for Democracy"	0.142512
"United Malays National Organization"	0.138316
MPLA	0.136625
Lakas-NUCD	0.136367
PML-N	0.135799
NRM	0.130805
CDU	0.130286
FRELIMO	0.12753
"Cambodian People's Party"	0.127067
MMD	0.12504
CMC	0.124842
Kanu	0.123182
NLD	0.11915
PASOK	0.117579
BJP	0.116095
"National Action"	0.115022
"Nationalist Party"	0.113681
"Christian Democratic Union"	0.111748
SDP	0.111322
Renamo	0.110604
"Kenya African National Union"	0.110419
SPDC	0.110369
"Pakistan Muslim League"	0.109955
"United Democratic Movement"	0.109044
PPP	0.108488
"Canadian Alliance"	0.10783
"General Council"	0.106299
ANC	0.105936
PCF	0.104529
"Nahdlatul Ulama"	0.104475
"Christian Social Union"	0.104239
"Barisan Nasional"	0.103585
PDI	0.102936
"State Peace and Development Council"	0.102852
"Zimbabwe African National Union-Patriotic Front"	0.102693
"Socialist Party"	0.102598
ZANU	0.0992234
CPP	0.0984856
Kuomintang	0.0981307
BNP	0.0980651
"United National Party"	0.0971787
AmCham	0.0967227
"Banking Committee"	0.0961756
ACFTU	0.0961374
BN	0.0960822
"Likud Party"	0.0958718
NKP	0.0957952
"Awami League"	0.0951727
Yabloko	0.0950171
"Liberal Party"	0.094828
"Revolutionary Party"	0.0941093
NDP	0.0938292
CNTA	0.0937255
CPV	0.0930426
DAP	0.0919556
"Baath Party"	0.0910999
"Democrat Party"	0.090548
"Nepali Congress"	0.0884989
CSRC	0.0883228
CPN-UML	0.0880524
HDZ	0.0877271
"House International Relations Committee"	0.0875642
"Free Democratic Party"	0.0873414
"Croatian Democratic Union"	0.0871639
Tory	0.0870486
SDLP	0.0869606
"National Front"	0.0866772
"Chinese NPC"	0.0863601
"Bharatiya Janata Party"	0.0860107
"New Korea Party"	0.0858717
"Colorado Party"	0.0858632
"Revolutionary Command Council"	0.0857929
CSA	0.0857418
Gesher	0.085138
"Bangladesh Nationalist Party"	0.0849046
"National Resistance Movement"	0.0844698
"CPPCC National Committee"	0.0844145
"Liberal Democratic Party"	0.0840596
"Golkar Party"	0.0840322
"PLO Executive Committee"	0.0836103
Likud	0.0834137
CCF	0.0828809
CSC	0.0825442
PATA	0.0823132
FUNCINPEC	0.0821085
"United National Independence Party"	0.0816825
"People's Party"	0.0815694
"Democratic Left"	0.081434
"Social Democratic Party"	0.0812586
CIRC	0.080535
RPR	0.0800223
"Republican House"	0.0797025
"People's Democratic Party"	0.0793709
"House Budget Committee"	0.0793548
CPC	0.0793442
Laban	0.0791496
NP	0.0791262
"National Democratic Party"	0.0788214
"Vietnamese Communist Party"	0.0788171
"Herri Batasuna"	0.0784747
UPU	0.0784551
Fatah	0.078297
"Conservative Party"	0.0782827
"Labor Party"	0.0782551
"Rwandan Patriotic Front"	0.0781251
center-right	0.0781162
CMAG	0.0780259
MDC	0.0778681
Tanganyika	0.0775126
CEC	0.0775071
DPP	0.0772884
INEC	0.077242
"Democratic Revolution Party"	0.0772135
NSC	0.0762176
"Congress Standing Committee"	0.0760361
RPP	0.0759699
SPD	0.0759294
"African National Congress"	0.0759208
Lakas	0.0756737
"Congress Party"	0.0756704
NC	0.0747751
Sakigake	0.0747595
CPPCC	0.0745926
UNP	0.0745541
"Christian Democratic Party"	0.0745093
Histadrut	0.0743036
"Communist Party"	0.0741784
"Lesotho Congress"	0.0736545
"Senate Appropriations Committee"	0.0736541
"National Party"	0.0732867
"Islamic Movement"	0.0732236
PRD	0.0732234
PDI-P	0.0732213
"Chinese Communist Party"	0.07311
"Parti Quebecois"	0.073058
"Christian Democrat"	0.0729126
"Center Party"	0.0728743
"Progressive Party"	0.0727385
"Rules Committee"	0.0726357
"Motherland Party"	0.0722112
"Independence Party"	0.0722071
"NPC Standing Committee"	0.0719583
SDS	0.0719116
FORD-Kenya	0.0716856
KONI	0.0710184
Jamaat-e-Islami	0.0703689
ARATS	0.0703567
"Great Hural"	0.0702981
eco	0.0702087
UMNO	0.0702054
"Democratic Party"	0.0701491
SEF	0.0697232
"United Development Party"	0.0696964
MPR	0.0696721
MNLF	0.0696054
"Housing Authority"	0.0692794
IGAD	0.0690758
Meretz	0.0690197
"National Defense Commission"	0.0689388
"Islamic Salvation Front"	0.0686275
"Federation Council"	0.0685646
"New Aspiration Party"	0.0685373
NEC	0.0683765
CPF	0.0682052
UF	0.0680049
"House Appropriations Committee"	0.0679765
"Popular Party"	0.06788
"Social Democrats"	0.0678769
"Russian Communist Party"	0.0678428
"Israeli Cabinet"	0.067663
"National Religious Party"	0.067642
"Ways and Means Committee"	0.0674933
RCD	0.0673843
LDP	0.0670292
COSATU	0.0667628
KPU	0.0667147
PCC	0.0666026
NPA	0.0664803
"Janata Dal"	0.0662969
UUP	0.0662723
"Caribbean Community"	0.0661047
"Civic Democratic Party"	0.0655627
"Christian Democrats"	0.0655029
"Russian Duma"	0.065338
JMC	0.0653119
"Democratic Alliance"	0.0653041
GCC	0.0652068
"Democratic Progressive Party"	0.0651948
"Appropriations Committee"	0.0650893
FINA	0.0649414
"Democratic Revolution"	0.06493
ECA	0.0648639
"National Democratic Alliance"	0.0647228
UDM	0.0646861
"Commerce Committee"	0.0644902
))
(CCPIT (desc 1362.12) (sims
CPAFFC	0.280222
ACFTU	0.210106
CCF	0.194246
ACWF	0.171842
CIRC	0.165066
AmCham	0.164439
"All-China Journalists Association"	0.164285
"All-China Youth Federation"	0.152
ICA	0.141424
CNOOC	0.137382
CNTA	0.136344
ARATS	0.134525
"Chinese Olympic Committee"	0.12885
SPC	0.128331
PATA	0.122194
SDB	0.121198
AHA	0.120777
CDB	0.120772
"Chinese NPC"	0.117273
"CPPCC National Committee"	0.116446
HKFA	0.115414
WEF	0.115183
DLC	0.114924
ICBC	0.11339
CITIC	0.11296
"Association for Friendship"	0.111749
CCA	0.111511
CMC	0.110631
CCB	0.110123
"China Council"	0.108273
ZCTU	0.107439
"Hong Kong Federation"	0.105531
CNPC	0.104665
CSC	0.103815
CSRC	0.103361
CFA	0.102318
"Organizing Committee"	0.102251
"NPC Standing Committee"	0.101601
TDC	0.101417
CMAG	0.101093
TDB	0.100367
SCLC	0.100229
CASS	0.100019
Eximbank	0.0995752
IGC	0.0990218
Qinghua	0.09862
IPU	0.0976431
"CBS Sports"	0.0971476
CSA	0.0952038
"U.S. Soccer Federation"	0.0948406
"Foreign Relations Committee"	0.0944938
PICC	0.093705
SFC	0.0936363
CPPCC	0.0930259
"Wine Institute"	0.0927675
OCA	0.0915461
UNIP	0.0914698
IGAD	0.0911143
PSE	0.0910885
EBRD	0.0910827
CAA	0.0910065
PBOC	0.0904572
"Labor office"	0.0899198
"China National Petroleum Corporation"	0.0897912
"National Defense Commission"	0.0897548
JMC	0.0893573
BOC	0.0893023
AOC	0.0884202
Sinopec	0.0875871
PUC	0.0875495
KONI	0.0873431
ITTF	0.0871022
"Rules Committee"	0.0870492
"House International Relations Committee"	0.0862671
"National Urban League"	0.086092
UFW	0.08608
"Turner Sports"	0.0847843
CMA	0.0846339
"China Society"	0.0844096
BSA	0.0839363
"Australian Olympic Committee"	0.0826818
CAS	0.0826131
"Ford Motor Company"	0.0818658
"Shanghai Municipal Government"	0.0812206
SPDC	0.0811854
"Chinese government"	0.080577
"National Committee"	0.0803395
"Association of Flight Attendants"	0.0803242
EC	0.0802274
"Public Security Ministry"	0.0802157
"Beijing Municipal Government"	0.0800627
CSE	0.0800503
Histadrut	0.078807
CCC	0.078522
ITU	0.078461
"China National Tourism Administration"	0.0783336
Tat	0.0783307
HKTA	0.0783128
"State Peace and Development Council"	0.078287
"Promise Keepers"	0.0781183
"Urban League"	0.0778207
"House Budget Committee"	0.0776717
PBC	0.0776009
"China Association for Science"	0.0773644
"United Auto Workers"	0.0772456
RCD	0.0770001
UMNO	0.0766134
"Board of Supervisors"	0.0765077
MII	0.0763893
NPC	0.0762608
COSCO	0.0762425
"Rotary International"	0.0761935
"Federal Reserve Bank"	0.0760543
"International Society"	0.0760392
"Senate Governmental Affairs Committee"	0.075938
"All-China Federation"	0.0754855
"Jatiya Party"	0.0753128
"Ministry of Forestry"	0.0747452
MMD	0.0745878
ACB	0.074454
"Legend Group"	0.0743688
"Senate Budget Committee"	0.0740638
"EU Commission"	0.0740281
"Xinhua News Agency"	0.0740037
Excellency	0.0738822
"Foreign Affairs Committee"	0.0737558
NKP	0.0735329
NDP	0.0733808
"Securities Industry Association"	0.0733127
"Congress Standing Committee"	0.0730847
"Banking Committee"	0.073011
"U.S. Chamber of Commerce"	0.0729158
"Atomic Energy Commission"	0.0727047
"Red Cross Society"	0.0724385
"American Psychological Association"	0.0723708
"Federal Reserve Bank of New York"	0.0712074
NARAL	0.0711886
"ABC Sports"	0.0710085
MOFTEC	0.0709354
Kiribati	0.0708655
"Local @@"	0.0706295
"Human Rights Commission"	0.0703335
"planning board"	0.0702564
IEC	0.0701766
"Commerce Committee"	0.0697015
"National Council of La Raza"	0.0694126
"Export-Import Bank"	0.0691737
"Caribbean Community"	0.0691559
"Asia Society"	0.0690003
CWA	0.0689683
CSX	0.0689148
"National Association of Broadcasters"	0.0689139
"Tang Jiaxuan"	0.0688929
"Medical Society"	0.0688181
"General Council"	0.068701
Fein	0.0682728
"Universal Pictures"	0.068203
IDB	0.0681547
"House Government Reform Committee"	0.0679952
PBSI	0.067948
"Joint Liaison Group"	0.0676891
"Senate Banking Committee"	0.0676675
CPA	0.0675445
NRM	0.0674746
"Congress (NPC) Standing Committee"	0.0672974
"World Meteorological Organization"	0.0670441
NAACP	0.0669188
"Senate Commerce Committee"	0.0668478
MPAA	0.0668257
Medtronic	0.0664353
UCI	0.0661712
"Commerce and Industry"	0.0659885
"Revolutionary Party"	0.0659797
"Ministry of Justice"	0.0658912
ATC	0.0658751
OIC	0.0657713
WIPO	0.065638
PTA	0.0654001
ECA	0.0653862
"Rainbow/PUSH Coalition"	0.0653056
Rwandese	0.064946
guild	0.0648957
ECB	0.0648182
"Ministry of Supervision"	0.0646761
SFA	0.0646045
"Motion Picture Association of America"	0.064528
USTA	0.064347
"Ways and Means Committee"	0.0642428
ICC	0.0640096
"Central Commission for Discipline Inspection"	0.0638788
"China Federation"	0.0638015
"municipal government"	0.0636191
"Russian Duma"	0.0634295
NEA	0.0633508
"Senate Judiciary Committee"	0.0631956
CCM	0.0630277
DAP	0.062925
KPA	0.06291
ITC	0.062897
Kanu	0.0628937
))
(CCTV (desc 2666.52) (sims
"China Central Television"	0.167384
"closed circuit"	0.126219
C-Span	0.0948418
"All-China Journalists Association"	0.0936857
NHK	0.0873254
BBC	0.0847576
"British Broadcasting Corp."	0.0841329
"Voice of America"	0.0839909
NTV	0.0820677
ORT	0.0815034
"Golf Channel"	0.0806836
"Economic Daily"	0.079269
"Yomiuri Shimbun"	0.0786263
"TV station"	0.0776652
"Channel @"	0.0773928
"Fox Sports Net"	0.0758562
"Fox Sports"	0.0756041
"television news"	0.0729539
HDTV	0.0722244
"Guangming Daily"	0.0721717
"Court TV"	0.0715637
"USA Network"	0.0709797
DMA	0.0707349
CBC	0.0696367
ABS-CBN	0.0695997
ESPN@	0.0672576
"ABC Sports"	0.0669295
TNN	0.0668966
AFP	0.0650078
Post-Intelligencer	0.0638956
"U.S. Soccer Federation"	0.0634361
"Xinhua News Agency"	0.0633796
CBS-TV	0.0618549
"Science City"	0.0617429
"closed-circuit television"	0.0614758
"ABC News"	0.0611923
CTV	0.0601666
NPR	0.0595073
GEF	0.0584415
"Turner Broadcasting"	0.0576583
CNBC	0.0569969
WGBH	0.0566143
Sinclair	0.0565877
"Economic Planning Agency"	0.0561154
"television network"	0.056061
"NBC News"	0.0558652
iTV	0.0551224
HKTA	0.0551073
"Ministry of Education"	0.055029
Televisa	0.0549878
MSNBC	0.0549559
Showtime	0.0549009
PBS	0.0546654
SSB	0.0545707
WIPO	0.0544988
Moneyline	0.0542943
"Republican Leadership Council"	0.0540649
CRI	0.0539486
APTV	0.0536148
"Transport Ministry"	0.052838
Scripps	0.0527051
"Denver Post"	0.0522537
Star-Telegram	0.0522352
"Radio Liberty"	0.052178
Reuters	0.052064
"Israel Radio"	0.0519374
"Weather Channel"	0.0514962
"TV network"	0.051442
DEP	0.0513107
"Fox News Channel"	0.051203
"Dateline NBC"	0.0511763
DirecTV	0.0511179
Nikon	0.0509877
"Good Morning America"	0.0507659
telemedicine	0.0503685
MTV	0.0500026
"British Broadcasting Corporation"	0.0499264
tribune	0.0496665
"cable network"	0.0493389
TDC	0.0493259
"National Highway Traffic Safety Administration"	0.049069
"Cable News Network"	0.048867
"Northern Fleet"	0.0485171
"British government"	0.0484445
"Boston Herald"	0.0484232
"TV guide"	0.048348
CNET	0.0479692
AOC	0.0477098
Univision	0.0473745
Interpol	0.0472262
IRC	0.0472084
"Channel @@"	0.0468302
"Peace Corps"	0.0466956
WGN	0.0466849
Gores	0.0465256
TDB	0.0463999
VH@	0.0462992
KPA	0.0462103
CBI	0.0461821
SFA	0.0461227
"wire service"	0.0454305
"Ask Jeeves"	0.0453009
IRNA	0.0450551
"Des Moines Register"	0.0450046
CMA	0.0449867
newsreel	0.0449206
QVC	0.044708
"Koha Ditore"	0.0446895
"Daily Racing Form"	0.0445848
CWA	0.0444347
TMD	0.0442648
RCN	0.0442594
"Beijing Youth Daily"	0.0442251
"Cartoon Network"	0.0441363
"Delta @"	0.0441262
"United Press International"	0.0441151
"Pax TV"	0.0440895
CIRC	0.0436687
"Turner Sports"	0.0436278
BOI	0.0436122
Pacifica	0.0435349
RNC	0.0434536
spaceflight	0.0433817
"Urban League"	0.0432719
UPI	0.0432328
SDH	0.0432212
GANNETT	0.0431348
"Comedy Central"	0.0431239
CNTA	0.0430439
"Straits Times"	0.0429056
Zagat	0.0428665
"U.N. Development Program"	0.0427852
CCF	0.0426633
CNPC	0.0424835
"National Police"	0.042425
PBA	0.0423035
GSP	0.0422858
"British Foreign Office"	0.0422303
Tb	0.0419665
"San Francisco Examiner"	0.0418392
counterterrorism	0.0417796
SCLC	0.0416364
NRC	0.0416184
EOHR	0.0415944
"Commerce Ministry"	0.0415716
"Commonwealth Ministerial Action Group"	0.041477
ICA	0.0414742
analog	0.04144
"Time Inc."	0.041419
"Tourism Authority of Thailand"	0.0413761
"Communist Youth League of China"	0.0412422
"Defense Department"	0.0410137
KPFA	0.0409117
"World Vision"	0.0407002
"Turner Classic Movies"	0.0406701
CNN/SI	0.0404991
"League of Women Voters"	0.0404934
JAT	0.0404201
"Russian Defense Ministry"	0.0403037
"chemical warfare"	0.0402776
IDT	0.0402313
ESPN.com	0.0401562
USTA	0.0401144
Lusa	0.0400822
Qinghua	0.0400122
))
(CD (desc 77972.1) (sims
"compact disc"	0.222967
disc	0.210102
album	0.194924
cassette	0.176378
CD-ROM	0.171409
disk	0.157743
video	0.155814
"compact disk"	0.152748
Recording	0.145162
tape	0.14307
VCDs	0.140113
DVDs	0.137182
DVD	0.127237
videotape	0.115051
"cassette tape"	0.112723
book	0.112039
music	0.10727
software	0.106279
Song	0.106157
VCD	0.105523
audio	0.105234
"floppy disk"	0.104219
merchandise	0.102668
soundtrack	0.0991397
Computer	0.0983595
toy	0.0983006
card	0.0961282
copy	0.0925831
"personal computer"	0.0919669
"certificate of deposit"	0.0915036
"video game"	0.0913666
PC	0.0908327
item	0.0884007
film	0.0881853
movie	0.0875055
product	0.0869344
Clothing	0.0863573
file	0.0862379
videocassette	0.0858931
goods	0.0843422
collection	0.0831244
compilation	0.0830964
audiotape	0.082966
jewelry	0.0827187
machine	0.0822995
material	0.0816662
catalog	0.0815572
label	0.0812033
version	0.081182
concert	0.0809839
"CD player"	0.0809817
ticket	0.080472
VCR	0.0799894
cookbook	0.0796713
box	0.0789901
MP@	0.0784486
T-shirt	0.0779821
cigarette	0.0778088
Internet	0.0774601
camera	0.0774422
poster	0.0766658
furniture	0.0765718
"credit card"	0.0764496
floppy	0.0758774
page	0.0758773
chip	0.0753787
recorder	0.0749867
download	0.0746798
doll	0.0745747
"mutual fund"	0.0744144
kit	0.0742726
brochure	0.0742352
equipment	0.0742307
annuity	0.0737012
bond	0.0730688
shoe	0.0727244
radio	0.07267
"tv set"	0.0726573
"computer game"	0.0724292
Coin	0.0722986
stereo	0.0718923
document	0.0718317
paper	0.0712313
food	0.0711556
cloth	0.0711535
TV	0.0711334
device	0.0711274
LP	0.0710741
web	0.0709275
"Treasury bill"	0.070558
stamp	0.0700658
television	0.0697296
magazine	0.0696485
photograph	0.069475
database	0.0688349
scanner	0.0687563
wine	0.0687193
bottle	0.0687035
clip	0.0685963
paperback	0.0683036
car	0.0682633
automobile	0.0679427
site	0.067486
painting	0.0673525
publication	0.0669733
"Windows @@"	0.0669217
phone	0.0669001
souvenir	0.0667246
"television set"	0.0667201
artwork	0.0665264
appliance	0.0664366
special	0.0662726
data	0.0662475
hardware	0.066244
"savings account"	0.065934
piece	0.0659244
sound	0.0655437
tune	0.0655264
"greeting card"	0.0654794
printer	0.0653379
edition	0.0652331
account	0.065193
pamphlet	0.0651583
manuscript	0.0649309
modem	0.0644969
"feature film"	0.0644616
memorabilia	0.0643308
"TV show"	0.0643166
format	0.06427
map	0.0642129
programming	0.0641854
demo	0.0638847
mortgage	0.0637317
sticker	0.0636378
cartridge	0.063588
server	0.0635473
booklet	0.0633817
sheet	0.0633164
instrument	0.0632342
textbook	0.0632307
note	0.0631789
"operating system"	0.0625924
stuff	0.0625753
print	0.062556
gadget	0.0624142
drug	0.0623032
picture	0.0622807
manual	0.0620609
commercial	0.0618067
lyric	0.0617914
apparel	0.0616649
model	0.0615496
menu	0.0614716
gun	0.0613685
band	0.0613581
photo	0.0613457
subscription	0.0613416
package	0.0613321
bag	0.0612578
laptop	0.0612376
browser	0.06123
program	0.0612176
grocery	0.0612083
"comic book"	0.0611214
gift	0.0610122
record	0.0610042
battery	0.0608832
certificate	0.0607285
commodity	0.0607
screen	0.0606099
"television program"	0.0605014
refrigerator	0.0604749
tool	0.060382
"bond fund"	0.0602168
vehicle	0.0602019
condom	0.0601991
meal	0.0598835
feature	0.0598832
offering	0.0598319
service	0.0597849
"cellular phone"	0.0596527
AD	0.0596513
cash	0.0596046
handgun	0.0594119
property	0.059348
notebook	0.0593181
art	0.0590203
coupon	0.058954
chart	0.0589512
Beer	0.0589182
musical	0.0588619
medicine	0.058779
fund	0.058732
brand	0.0587219
firearm	0.0587068
text	0.0586155
email	0.0585903
artifact	0.0585606
Anthology	0.0584906
gasoline	0.0584823
))
("CD player" (desc 10739) (sims
stereo	0.211896
"cassette player"	0.207528
camcorders	0.173651
VCR	0.167494
changer	0.16289
"fax machine"	0.155725
"stereo system"	0.145714
"tape player"	0.137589
"color television"	0.130649
"television set"	0.130259
"microwave oven"	0.12675
"Palm Pilots"	0.120155
"kitchen appliance"	0.119901
"tv set"	0.118974
"cassette recorder"	0.118724
camcorder	0.117884
"videocassette recorder"	0.117256
"laser printer"	0.116349
pagers	0.114587
"cellular phone"	0.109583
"sound system"	0.10864
amplifier	0.108228
conditioner	0.105792
"tape recorder"	0.104074
recorder	0.102796
Walkman	0.100841
copier	0.100822
"personal computer"	0.100805
toaster	0.100014
cassette	0.0995578
"laptop computer"	0.0992818
"cruise control"	0.0984712
beepers	0.0964302
"compact disc"	0.0962364
scanner	0.0950461
"cellular telephone"	0.0946795
appliance	0.0941702
"clock radio"	0.0918015
tuner	0.0912237
pager	0.0911586
printer	0.0906499
laptop	0.0906138
refrigerator	0.0889337
"audio system"	0.0879237
phone	0.0875264
phonograph	0.086833
"telephone set"	0.0866673
sunroof	0.0858701
"hand-held computer"	0.0856912
modem	0.0852238
"washing machine"	0.0851208
"steering wheel"	0.0849195
headphone	0.0846324
"electronic device"	0.0843555
PC	0.0840655
console	0.0831695
camera	0.082892
DVDs	0.0825119
"video game"	0.0822306
telephone	0.0818858
CD	0.0809817
air-conditioning	0.0808742
DVD	0.0801715
radio	0.0798838
"coffee maker"	0.0786617
"security system"	0.078361
keyboard	0.0780508
"satellite receiver"	0.0773626
"automatic transmission"	0.0773221
"consumer electronics"	0.0772297
air-conditioner	0.0769439
peripheral	0.0765635
calculator	0.076144
"alarm system"	0.0757707
"power steering"	0.0752274
"communications equipment"	0.0748092
device	0.0747743
wristwatch	0.0744211
thermostat	0.0736817
upholstery	0.0736597
photocopier	0.0727135
"alarm clock"	0.072483
"Palm Pilot"	0.0724568
jacks	0.0715637
TV	0.0713773
battery	0.0701015
"phone system"	0.0698644
gadget	0.0696443
lamp	0.0693275
"sewing machine"	0.0691992
analyzer	0.0689816
Projector	0.0683059
workstation	0.0681589
microwave	0.067954
floppy	0.0675126
handset	0.0667505
"electronic equipment"	0.0663143
microchip	0.0660699
dishwasher	0.0660562
headset	0.0659436
"bucket seat"	0.0656992
semiconductor	0.0656469
"portable computer"	0.0655501
"video equipment"	0.0652732
gizmo	0.0646649
"home appliance"	0.0644571
"radio set"	0.064432
"compact disk"	0.0639735
conditioning	0.0635196
"outside mirror"	0.0632331
Macintosh	0.0629974
"floppy disk"	0.0629885
"computer hardware"	0.0624409
"Nintendo @@"	0.0622645
mainframe	0.0617633
"hair dryer"	0.0617626
"speaker system"	0.0616363
"phone line"	0.0614016
microphone	0.0613355
beeper	0.061164
"first-aid kit"	0.0608421
decoder	0.0606234
headlight	0.0604849
CD-ROM	0.0604425
audio	0.0602757
washer	0.0600113
toilet	0.0598063
"disk drive"	0.0597429
binocular	0.0597334
desktop	0.059719
detector	0.0596057
"vacuum cleaner"	0.05952
cooker	0.0594956
typewriter	0.0593671
briefcase	0.0593442
adapter	0.0593383
"household appliance"	0.0593121
notebook	0.0588741
switchboard	0.0587151
VCDs	0.0583887
stove	0.0583387
disc	0.0582597
"power tool"	0.0582114
"memory chip"	0.0580707
PlayStation	0.0580108
remotes	0.0578147
minicomputer	0.0575069
"audio CD"	0.0575019
"cable television"	0.0570073
dryer	0.0570017
"air bag"	0.0567641
HDTV	0.0564394
synthesizers	0.0560157
flashlight	0.0557567
toy	0.0556365
electronics	0.0555271
"desktop computer"	0.0555158
"office furniture"	0.0553349
Mac	0.0552171
brake	0.0550634
defroster	0.0549363
wiper	0.0547272
"storage device"	0.0547168
"cassette tape"	0.0546922
CD-R	0.0545254
handhelds	0.0544265
furniture	0.0537127
"caller ID"	0.0536854
"seat belt"	0.0532831
gadgetry	0.0530695
"hard disk"	0.0528773
"computer equipment"	0.0525027
defibrillator	0.0522256
iMacs	0.0521758
kit	0.0519749
earphone	0.0518735
server	0.0518005
microprocessor	0.0517505
desktops	0.0513202
"heating system"	0.0513031
joystick	0.0512709
Jukebox	0.051181
converter	0.0511242
automobile	0.0510416
"computer screen"	0.0509655
wallet	0.0509225
walkie-talkie	0.0508684
disk	0.0508576
"word processor"	0.0508072
"X-ray machine"	0.050506
Unix	0.0504646
heater	0.0503589
jewelry	0.0503357
Lighting	0.0502317
generator	0.0500024
furnishings	0.0499591
"car seat"	0.0499268
"integrated circuit"	0.0497851
faucet	0.0497844
turntable	0.0495107
))
(CD-R (desc 1801.61) (sims
DVD-ROM	0.215862
FireWire	0.126463
CD-ROM	0.124223
diskette	0.120477
"audio CD"	0.113847
VCD	0.110536
DIVX	0.108983
accretion	0.108632
floppy	0.106845
cassette	0.105205
"floppy disk"	0.104345
DVD	0.0984848
DVDs	0.0895489
LDs	0.087896
"disk drive"	0.0837408
videocassette	0.0786373
suction	0.0780999
"compact disc"	0.0757495
VCDs	0.0756837
"cassette tape"	0.0730228
"hard disk"	0.0708151
"laser printer"	0.0693635
BLUETOOTH	0.0677864
SCSI	0.0670246
"Windows Media Player"	0.0668739
"utility program"	0.0643367
game-winning	0.0637809
iBook	0.0637728
unionization	0.0626519
"incentive program"	0.0623819
"limited edition"	0.0621993
"memory chip"	0.0608523
defibrillator	0.0597585
MP@	0.0574771
telemedicine	0.0572611
"data link"	0.0572098
"Cliffs Notes"	0.0569916
intranet	0.0568865
ADSL	0.0562828
microcomputer	0.0555198
"cassette player"	0.0554091
"Universal Serial Bus"	0.0551195
microfilm	0.0551111
CDMA	0.0547819
"BUENA VISTA SOCIAL CLUB"	0.0545443
"CD player"	0.0545254
Fugees	0.0542723
VCR	0.0542362
"compact disk"	0.0537422
turbine	0.053675
cartridge	0.0535184
LP	0.0534458
Win@@	0.0532001
generics	0.0528298
"private corporation"	0.0526599
microchip	0.0526043
WebTV	0.0522221
"computer equipment"	0.0516909
arabesque	0.0515124
usability	0.0510811
mammography	0.0505594
"storage device"	0.0504998
mem	0.0504739
prosthesis	0.0503702
"tool kit"	0.0502677
looper	0.0501008
"test equipment"	0.0500324
LPs	0.0498983
Lafleur	0.0498571
SDH	0.0494123
Taxol	0.049345
"last two digits"	0.0492203
videophone	0.0490697
emulator	0.0484894
"New Democrat"	0.0483299
"order form"	0.0481119
triangulation	0.0475704
SDMI	0.047536
"satellite receiver"	0.0473441
PDA	0.0473036
"sheet of paper"	0.0472053
camcorders	0.0467435
Iomega	0.0464818
USB	0.0463837
semiconductor	0.046212
fumigation	0.0461775
"chamber orchestra"	0.0459912
match-ups	0.045894
Unix	0.0458335
"production equipment"	0.0454691
inkjet	0.0453401
sensing	0.0451718
e-BOOKS	0.0451616
three-inch	0.0449157
"social democracy"	0.044746
tailgate	0.0446651
classifieds	0.0443532
"fuel cell"	0.0442999
rpm	0.0442689
DV	0.043765
pictorial	0.0437086
"labor resource"	0.0433883
ion	0.0433231
plural	0.0432863
"ballpoint pen"	0.0431339
"bar code"	0.043005
CGI	0.0429405
"radio frequency"	0.0427859
stapler	0.0427816
Powerbook	0.0426694
"rocket fuel"	0.0425207
toolbars	0.0423045
blackboard	0.0422878
mainframe	0.0421997
"diesel engine"	0.0421611
"radio transmitter"	0.0420327
"pet food"	0.0420296
combing	0.0420113
identifier	0.0419204
"National Gambling Impact Study Commission"	0.0418239
"stage name"	0.0417423
Shockwave	0.0415664
Lan	0.041405
Dickinson	0.0414018
"Dave Matthews"	0.0413434
"bank card"	0.0412867
filtering	0.0412591
Google	0.0412555
"fiber optics"	0.0410638
Acer	0.0410537
"tape player"	0.0410471
tranquilizer	0.0409129
slingshot	0.0408664
personalization	0.040755
"computer language"	0.0406658
"electric current"	0.040654
"automatic transmission"	0.0406351
weaponization	0.0401243
comprised	0.0400044
Midi	0.0400023
inhaler	0.0400019
))
(CD-ROM (desc 31114.8) (sims
CD	0.171409
cassette	0.163981
disk	0.156582
"floppy disk"	0.153371
disc	0.151307
"compact disc"	0.148106
DVD	0.146621
DVDs	0.135715
VCDs	0.13032
video	0.130255
DVD-ROM	0.129139
CD-R	0.124223
"compact disk"	0.123298
software	0.121905
floppy	0.121756
"cassette tape"	0.118924
videocassette	0.117147
audio	0.105713
"personal computer"	0.105507
modem	0.104718
"disk drive"	0.103419
"video game"	0.102148
videotape	0.101954
audiotape	0.101025
PC	0.100932
"hard disk"	0.100704
Computer	0.099844
diskette	0.0985455
tape	0.0984768
manual	0.0973675
chip	0.0949081
"computer game"	0.0943372
printer	0.0936265
Encyclopedia	0.092001
card	0.0904233
VCD	0.0891978
"memory chip"	0.0891774
processor	0.0888362
LDs	0.0887386
scanner	0.0880652
"operating system"	0.0869019
VHS	0.0865036
database	0.0863757
"Windows @@"	0.0861881
VCR	0.0861684
microprocessor	0.0859771
cartridge	0.0855221
book	0.0843084
textbook	0.0834755
browser	0.0830274
kit	0.0827034
"computer program"	0.0825922
booklet	0.0825038
peripheral	0.0823545
file	0.0820218
brochure	0.0812461
"audio CD"	0.081237
server	0.0807509
directory	0.0804796
Internet	0.0798211
page	0.0790646
dictionary	0.0788703
device	0.0787659
multimedia	0.0782419
recorder	0.0772686
interface	0.0772385
web	0.0768473
Website	0.0767972
pamphlet	0.0767328
"software product"	0.0765844
"laptop computer"	0.076389
"software package"	0.0763124
map	0.0759791
"board game"	0.0755324
adapter	0.0751239
Recording	0.0737647
catalog	0.0736906
keyboard	0.0730594
DIVX	0.0729296
toy	0.0722436
"computer network"	0.0721349
version	0.0715236
Mac	0.0712274
"desktop computer"	0.0712228
graphics	0.0711568
"source code"	0.0709434
guidebook	0.0703333
machine	0.0701882
laptop	0.0700352
poster	0.0696948
"reference work"	0.0694733
motherboard	0.0693131
camera	0.0693087
monitor	0.0691438
newsletter	0.0691345
browsers	0.0681277
"hand-held computer"	0.0681181
screen	0.0680528
tool	0.0679811
microchip	0.0676087
gadget	0.0670979
document	0.0668551
RealPlayer	0.0661556
console	0.0661305
microfilm	0.0657965
copy	0.0657633
Projector	0.0656265
calculator	0.0655854
"television set"	0.0655447
merchandise	0.0652959
cookbook	0.0652848
hardware	0.0648366
TV	0.0645348
"tv set"	0.0645129
album	0.0644416
guide	0.0644399
"storage device"	0.0640442
phone	0.0637368
Portal	0.0637032
box	0.0636532
"comic book"	0.0635435
upgrade	0.063356
postcard	0.0629933
doll	0.0629593
"computer hardware"	0.0629589
spreadsheet	0.0628653
"computer equipment"	0.0626083
"World Wide Web"	0.0624708
appliance	0.0624028
motherboards	0.0623281
text	0.0623186
PlayStation	0.0623055
exhibit	0.0622099
"cellular phone"	0.0620262
edition	0.0620195
zip	0.0619086
publication	0.0616495
compilation	0.0616177
photograph	0.0614123
television	0.061248
battery	0.061106
"consumer electronics"	0.0608369
"sheet music"	0.0607169
application	0.0607046
"laser printer"	0.0606597
equipment	0.0606582
"Office @@@@"	0.0606309
"CD player"	0.0604425
technology	0.0602874
paper	0.0602668
folder	0.0601385
Atlas	0.0599413
camcorders	0.0598677
"greeting card"	0.0598059
email	0.0597656
websites	0.0594581
cable	0.0594302
"portable computer"	0.059324
stamp	0.0593223
transcript	0.0591265
"fax machine"	0.0589117
calendar	0.0588924
menu	0.0588585
magazine	0.0586198
material	0.0585924
movie	0.0583629
"television show"	0.0583116
gizmo	0.0581447
"Microsoft Office"	0.0579972
MP@	0.0579337
data	0.057709
stereo	0.0576411
"user interface"	0.0575782
"television program"	0.0575542
intranet	0.0575157
Coin	0.0574027
workstation	0.057307
"TV show"	0.0572285
mouse	0.0569656
"reference book"	0.0568736
semiconductor	0.0564177
subscription	0.0562365
label	0.0561662
Ethernet	0.0558784
"trading card"	0.0558485
notebook	0.0553601
sticker	0.0551479
"phone service"	0.055144
"sheet of paper"	0.0551387
tutorial	0.0550706
"computer screen"	0.0550174
collection	0.0549363
printout	0.054846
curriculum	0.0546967
"bulletin board"	0.0543662
"integrated circuit"	0.0542516
iMac	0.0542281
photo	0.0541994
T-shirt	0.0540449
pagers	0.0538941
))
(CDB (desc 850.029) (sims
CCB	0.199051
ICBC	0.185313
SDB	0.183827
CIRC	0.18055
PBC	0.179795
PBOC	0.159207
Eximbank	0.157018
BOC	0.135097
WEF	0.131459
OPIC	0.122846
CCF	0.122521
CCPIT	0.120772
CNOOC	0.118381
EOHR	0.11451
CBK	0.112615
"British Foreign Office"	0.11145
"Thai Foreign Ministry"	0.109207
ADB	0.109147
COSCO	0.108136
EBRD	0.108091
GAAF	0.107555
IPU	0.106128
"Business Council"	0.104155
IDB	0.101265
FOMC	0.101064
PICC	0.100589
"Ministry of Forestry"	0.0982141
CSE	0.0975675
SETC	0.0967868
CSC	0.0966878
Wada	0.0945708
CBI	0.0927146
"Israeli Foreign Ministry"	0.0912081
ACFTU	0.0899305
CNPC	0.0898322
"Bank of Thailand"	0.089559
"Agriculture Ministry"	0.0892365
MPAA	0.0886796
UML	0.0884951
SSB	0.0880334
CAS	0.0875636
RCMP	0.0867962
PECC	0.0865356
"Japanese Embassy"	0.0858881
IFC	0.0849516
Interpol	0.0843414
OCA	0.0841455
"Defense Agency"	0.0836973
"Culture Ministry"	0.0836762
"Turkish Foreign Ministry"	0.0828904
ICTR	0.0827337
CCC	0.0821876
"Philippine Central Bank"	0.0821407
IAI	0.0821312
"patent office"	0.0820374
"Home Ministry"	0.0819574
AmCham	0.081586
ECB	0.0814177
"International Skating Union"	0.0810011
PSC	0.0809625
IDT	0.080712
ICA	0.0797847
CSRC	0.0797598
"Bank of Canada"	0.0795621
"Bank of China"	0.0795613
"Joint Liaison Group"	0.0794379
Sinopec	0.0793768
SDPC	0.0787581
DLC	0.0786399
AOC	0.078264
"Public Security Ministry"	0.0776438
Marketspan	0.0775577
"Los Angeles City Council"	0.0769901
"Transport Ministry"	0.0769681
FEMA	0.076786
BSA	0.0764953
"Israeli Army"	0.0763718
Tat	0.0756609
Kiribati	0.0756306
Pustovoitenko	0.0755735
HHS	0.0755076
NARAL	0.0749753
DEP	0.0747553
CPAFFC	0.074651
"Bank of Uganda"	0.074584
"State Development Bank"	0.0744451
CWA	0.0743055
"Industry Ministry"	0.0741636
PTT	0.0740858
"Rotary International"	0.0740018
TDC	0.0733798
MII	0.0731456
"Thermo Electron"	0.0731369
"Downing Street"	0.0731163
Qinghua	0.0726621
"Air Lanka"	0.0725992
COSATU	0.0724875
HCFA	0.0723737
"Bank of Zambia"	0.0722974
TDB	0.0720662
BOJ	0.071978
USOC	0.0719292
"Reserve Bank of Australia"	0.0712683
"Ministry of Internal Trade"	0.0711252
ECA	0.0709808
"Bank of Japan"	0.0709778
SOCOG	0.070666
KPA	0.0706155
"Truth Commission"	0.0703699
BOI	0.070299
Massport	0.0698336
NDP	0.0695185
"British government"	0.0694207
AFA	0.0693379
"Bank Indonesia"	0.069268
PUC	0.0690628
CMA	0.0688928
NSC	0.0688877
MetLife	0.068882
PictureTel	0.0686155
WEU	0.0685044
CFTC	0.0684909
Healtheon/WebMD	0.0683876
"EU Commission"	0.0682613
"Bank of Italy"	0.0682127
CAA	0.0682112
UNIDO	0.0679867
UNFPA	0.0679171
CNTA	0.0678277
"Nuclear Regulatory Commission"	0.0678151
"Human Rights Commission"	0.0675604
SSE	0.0674841
CAAC	0.0674266
FN	0.0674093
"Port Authority"	0.0673418
NCEC	0.0672659
EC	0.0670822
MOE	0.0670392
ARATS	0.067035
PATA	0.0670287
PBA	0.0670286
IAF	0.0667081
"Commerce Ministry"	0.0665523
Icann	0.0662306
"PLO Executive Committee"	0.066045
"Ministry of Personnel"	0.0658374
Starwood	0.0656517
guild	0.0655304
"Senate Governmental Affairs Committee"	0.0653315
"National Police"	0.0652241
Danka	0.0651041
SEPA	0.0649882
"Damascus Declaration"	0.0649718
AMF	0.0645595
CASS	0.0644258
KEDO	0.0642187
MOFTEC	0.0641154
UUP	0.064047
Sumitomo	0.0640274
"reserve bank"	0.0639171
BofA	0.0637517
"Labor Ministry"	0.0635409
"Police Commission"	0.0633448
FDIC	0.0631128
"Bank of Israel"	0.063068
"China Telecom"	0.0630044
ZCTU	0.0629735
Daimler	0.062973
SPC	0.0628876
Hesse	0.0628047
"jockey club"	0.0627806
CITIC	0.0626439
GEF	0.062627
Histadrut	0.0626219
"US Supreme Court"	0.062472
LTCB	0.0624638
CWC	0.0624506
"Chinese Olympic Committee"	0.0624378
Generali	0.0623569
NHTSA	0.0622828
"U.S. Soccer Federation"	0.0621119
"Asia Society"	0.0619442
"Organizing Committee"	0.0617055
LIFFE	0.0616853
"Beth Israel"	0.0616853
CBC	0.0616228
"Reserve Bank of India"	0.0614447
Ltd	0.0612686
ATI	0.0606658
Sibneft	0.0605134
"US State Department"	0.0602528
"top officer"	0.0602015
ROK	0.0601547
"Board of Supervisors"	0.0600382
PCB	0.0599473
"Housing Authority"	0.0597891
APA	0.0596462
"National Association of Securities Dealers"	0.0595374
SUNY	0.0594523
PTA	0.0594402
))
(CDC (desc 12063.6) (sims
"National Cancer Institute"	0.209121
"Health Department"	0.16877
NIH	0.164376
"Census Bureau"	0.161968
USDA	0.156772
UNAIDS	0.156742
NCI	0.152812
"Department of Agriculture"	0.152143
"Education Department"	0.15201
"Environmental Protection Agency"	0.150638
EPA	0.149205
FDA	0.14896
"American Cancer Society"	0.146502
"Department of Education"	0.144955
"Department of Health"	0.1426
NTSB	0.14166
"National Institutes of Health"	0.141048
"Agriculture Department"	0.138981
"National Highway Traffic Safety Administration"	0.138673
"Food and Drug Administration"	0.134631
"Commerce Department"	0.134341
"Energy Department"	0.133918
"Health Ministry"	0.131913
DEP	0.131905
"World Health Organization"	0.131549
"Labor Department"	0.125432
UNICEF	0.123781
"National Science Foundation"	0.123661
"Harvard School of Public Health"	0.123481
NHTSA	0.12214
FTC	0.121922
"Treasury Department"	0.119538
OSHA	0.118809
"U.S. Geological Survey"	0.118676
"Federal Aviation Administration"	0.117922
"Defense Department"	0.117779
"U.S. Environmental Protection Agency"	0.117621
Pentagon	0.116926
"National Research Council"	0.116688
"Human Rights Watch"	0.116647
FEMA	0.116318
FAA	0.116164
"General Accounting Office"	0.116076
"U.S. Agriculture Department"	0.115748
"Department of Health and Human Services"	0.11523
bureau	0.114232
"College Board"	0.113235
Gao	0.112329
"National Marine Fisheries Service"	0.112013
"National Transportation Safety Board"	0.111785
NRC	0.110858
"Home Ministry"	0.110796
NASA	0.110212
"Ministry of Health"	0.109498
"Federal Emergency Management Agency"	0.109282
"Texas Department of Health"	0.109262
"Department of Energy"	0.108711
"U.S. Census Bureau"	0.107348
"American Heart Association"	0.107232
SSB	0.106507
"Amnesty International"	0.106498
"Department of Transportation"	0.105713
"Federal Trade Commission"	0.10495
"Transportation Department"	0.104749
"Department of Defense"	0.104233
ILO	0.103614
FBI	0.103566
"Forest Service"	0.102974
CIA	0.102933
institute	0.102914
ATF	0.102871
HUD	0.102712
"State Department"	0.101978
DMV	0.101468
ISTAT	0.101296
"Institute of Medicine"	0.101224
"Justice Department"	0.100636
"Scotland Yard"	0.100208
"National Academy of Sciences"	0.0999728
"Agriculture Ministry"	0.0996564
"U.N. Development Program"	0.0989995
IEA	0.0989628
"Department of Justice"	0.0984532
"U.S. State Department"	0.0983597
HHS	0.0981835
"Department of Public Health"	0.0980851
agency	0.0980054
"World Bank"	0.0976488
UNHCR	0.0974608
"Department of Labor"	0.0972186
"Disease Control"	0.0969082
"Urban Institute"	0.0968193
"Drug Enforcement Administration"	0.0967292
"Interior Department"	0.0966345
"Carter Center"	0.0965719
CBO	0.0954048
"National Park Service"	0.0949978
"Statistics Canada"	0.094919
SDPC	0.0948432
ADL	0.0946879
"Labor Ministry"	0.0943349
"American Medical Association"	0.093776
"Department of Corrections"	0.0936633
"U.S. Commerce Department"	0.0930369
"Office of Management and Budget"	0.0916819
"Mayo Clinic"	0.0914813
"Congressional Budget Office"	0.0910294
"Families USA"	0.0908094
"World Food Program"	0.0905131
INS	0.0904921
"Ethics Commission"	0.0903401
SBA	0.0903073
AARP	0.0895393
EEOC	0.0889747
"American Academy of Pediatrics"	0.0889594
"Central Intelligence Agency"	0.0885761
"Justice Ministry"	0.088377
DEA	0.0883426
CPSC	0.0881925
"Bureau of Labor Statistics"	0.0881549
"Australian Bureau of Statistics"	0.0876389
commission	0.0874032
department	0.0871981
"Johns Hopkins University"	0.0871337
"U.S. Forest Service"	0.0865334
"Department of Veterans Affairs"	0.0864972
"National Oceanic and Atmospheric Administration"	0.0864299
"Conference Board"	0.0861321
"U.S. Treasury Department"	0.086063
"police department"	0.0860616
"World Wildlife Fund"	0.0859831
"RAND Corp."	0.0859503
HKTA	0.0850583
"Los Angeles Police Department"	0.0848385
"United Nations Population Fund"	0.0846959
"Russian Space Agency"	0.0846216
"Department of Environmental Protection"	0.0843742
"Finance Ministry"	0.0843161
TDB	0.0841151
"United Nations Children's Fund"	0.0840377
SEC	0.0839574
FAO	0.0839166
Gartner	0.0837187
"Health Care Financing Administration"	0.0835944
INEC	0.0832654
"American Red Cross"	0.0828985
"Red Cross"	0.0828068
Forrester	0.0827768
"U.S. Labor Department"	0.0826988
"Congressional Research Service"	0.0826181
"customs service"	0.0826173
"National Aeronautics and Space Administration"	0.082569
"British Foreign Office"	0.0823042
DP	0.0820842
ministry	0.0820838
AFL-CIO	0.0820677
"Defense Ministry"	0.0819681
WFP	0.0817783
"University of Toronto"	0.0816078
AAA	0.0815163
"Department of Foreign Affairs"	0.081417
"Johns Hopkins"	0.0813866
"Texas Department of Public Safety"	0.0813016
Monsanto	0.0812985
"National Weather Service"	0.0811411
Wyeth-Ayerst	0.0809909
"Natural Resources Defense Council"	0.0808789
SFA	0.0807979
"Economic Planning Agency"	0.0805395
Interpol	0.0804812
"Consumers Union"	0.0803639
ECA	0.0801286
"Fish and Wildlife Service"	0.0800468
"University of Pittsburgh"	0.0798251
HKMA	0.0795959
"Federal Election Commission"	0.0795148
Zagat	0.079451
"Center for Responsive Politics"	0.0794303
UNCTAD	0.0793819
"University of Michigan"	0.079336
TDC	0.0793082
"Royal Canadian Mounted Police"	0.0791263
"Coast guard"	0.0789227
"Department of Environmental Conservation"	0.078834
"Department of Public Safety"	0.0787304
"Park Service"	0.0786711
"inspector general"	0.0786487
"Anti-Defamation League"	0.0784501
FEC	0.0781802
"Department of Commerce"	0.0781764
"Central Bureau of Statistics"	0.0780896
"Cornell University"	0.0780413
UNDP	0.0779635
IRS	0.0775193
"U.S. Fish and Wildlife Service"	0.0774696
"Harvard Medical School"	0.0774609
IDC	0.0771234
"Immigration and Naturalization Service"	0.0770717
"Interior Ministry"	0.0769076
CAS	0.0767754
))
(CDMA (desc 2748.87) (sims
GSM	0.270098
IC	0.181637
SDH	0.179936
WAP	0.177244
"optical fiber"	0.157924
videophone	0.157679
BLUETOOTH	0.157285
"data communication"	0.14187
DSL	0.135852
"local area network"	0.133776
analog	0.128561
analogue	0.128508
Internet@	0.12708
ISDN	0.12608
broadband	0.124515
"fiber optics"	0.122282
telemedicine	0.122036
NMD	0.117307
GPS	0.114465
telephony	0.111061
intranet	0.107296
"coal gas"	0.107248
"cellular telephone"	0.101771
sensing	0.101353
"weather forecasting"	0.1003
Telecoms	0.100085
"National Missile Defense"	0.0995272
informatics	0.0994836
Internet-based	0.099114
multimedia	0.0979485
"wireless telephone"	0.0954506
TMD	0.0944857
IP	0.093477
"solar energy"	0.0927625
ADSL	0.0923186
"night vision"	0.0922978
WebTV	0.0922296
automation	0.0919935
RAMBUS	0.0914542
CAD	0.0911903
mem	0.0911645
e-business	0.0905965
Globalstar	0.0893065
Ethernet	0.0883055
"computer graphics"	0.0877406
"garbage disposal"	0.0874778
"global positioning system"	0.0864644
"cable television"	0.0863716
"computer network"	0.0861632
E-ZPass	0.0857352
Gnutella	0.0854801
"nuclear energy"	0.085389
networking	0.0852716
state-of-the-art	0.0848589
"caller ID"	0.0848355
Filtration	0.0824433
"fire control"	0.0809528
avionics	0.0802776
"electronic warfare"	0.0802221
FireWire	0.0800295
"genetic engineering"	0.0796912
atm	0.0793475
"computer technology"	0.0789783
"information system"	0.0782337
"fuel cell"	0.0778831
"mass transit"	0.0771868
"telephone network"	0.0769241
"central heating"	0.076812
hydropower	0.0759901
irrigation	0.0752732
fingerprinting	0.0752197
"solar power"	0.0751743
"computer hardware"	0.0742512
"automatic teller machine"	0.0736931
bioengineering	0.0733115
Iridium	0.0731442
olestra	0.0731051
"cellular phone"	0.0729535
"information technology"	0.0728844
"data processing"	0.0726166
"radio frequency"	0.0724282
Webcam	0.0723352
"mainframe computer"	0.0722049
"meteorological satellite"	0.0719699
AWACS	0.0719101
ISO@@@@	0.0717143
DoCoMo	0.0717036
Telecom	0.0713761
desalination	0.0695726
LNG	0.0691545
S-@@@	0.0684278
Lan	0.0681277
aquaculture	0.068027
cryptography	0.0679519
DSP	0.0676125
"artificial intelligence"	0.0674211
"neutron bomb"	0.0673871
intranets	0.0672019
biotechnology	0.0671443
pager	0.0667312
"rare earth"	0.0666123
imaging	0.0663759
robotics	0.0663338
semiconductor	0.0659788
"high technology"	0.0657974
modem	0.0657929
"inventory control"	0.0657419
"telephone system"	0.0654186
"information superhighway"	0.0654046
triangulation	0.0653611
"security system"	0.0652854
"local call"	0.0650757
RSA	0.0649912
Microelectronics	0.0646434
"phone service"	0.0646324
PowerPoint	0.0644392
purification	0.0643631
"scientific method"	0.0639456
mammography	0.0637838
healthcare	0.0637253
mainframe	0.0637089
agro-technology	0.0634872
"fiber optic cable"	0.0634483
microwave	0.0634267
"traffic control"	0.0634178
ATHOME	0.0632046
"nuclear power"	0.063183
"Market system"	0.0627009
"wind power"	0.0625611
supercomputer	0.0625376
filtering	0.0624536
"credit system"	0.0624008
"point system"	0.0623814
sewerage	0.0622088
Encryption	0.061972
diagnostics	0.0619008
agro-techniques	0.0618323
waterworks	0.0618246
dram	0.0617343
switching	0.0616905
computing	0.0610948
"telephone exchange"	0.0609539
interceptor	0.060925
endoscope	0.0608093
"electric power"	0.0604395
compression	0.0604115
"silicon chip"	0.0600288
Midi	0.0599866
HDTV	0.0599693
C@@	0.0599558
TCM	0.0599371
"power grid"	0.0597994
inkjet	0.0597855
handset	0.0597692
"weapon system"	0.0593467
ecotourism	0.0592503
"Sprint PCS"	0.0592227
aftermarket	0.0589783
"air bag"	0.0589351
Cyrix	0.058919
"communication system"	0.058868
"telephone service"	0.0587987
"T Wireless"	0.0587928
"proportional representation"	0.058479
ICQ	0.0584513
pH	0.0584488
Dreamcast	0.0584463
bandwidth	0.0584143
cellphone	0.0580746
Ericsson	0.0579429
"computer language"	0.0578477
spaceflight	0.0577766
"social insurance"	0.0575848
"Go Network"	0.0573668
microprocessor	0.0573196
laser	0.0572917
V-chip	0.0571044
"defense system"	0.0570914
EPZ	0.0569713
"Windows @@@@"	0.0565333
"building material"	0.0563946
Walkman	0.0563106
"rule of evidence"	0.0562456
"information service"	0.0561975
"public transport"	0.0561816
carnivore	0.056022
"market economy"	0.0558421
"Windows Media Player"	0.0558386
shipbuilding	0.0556608
Unix	0.055465
"Pentium III"	0.0554387
MP@	0.0553987
RCN	0.0553549
"missile defense system"	0.0552913
"building code"	0.0552601
"trading system"	0.055247
personalization	0.0552026
agronomy	0.0550033
Hotmail	0.0549321
aerospace	0.0549112
))
(CDnow (desc 4214.54) (sims
Reel.com	0.263601
Buy.com	0.258368
eToys	0.218354
Barnesandnoble.com	0.187843
Priceline.com	0.169351
Amazon.com	0.162602
Fingerhut	0.16245
N@K	0.160068
Toysrus.com	0.15681
Webvan	0.147157
Drugstore.com	0.146338
Toysmart.com	0.142639
ETrade	0.142626
"Barnes &AMP; Noble"	0.142281
E-Trade	0.142119
Amazon	0.140266
CNN.com	0.139176
Pets.com	0.137948
Priceline	0.133627
eBay	0.132594
Broadcast.com	0.130809
CNET	0.128813
GoTo.com	0.124945
ALZA	0.124664
"Amazon.com Inc."	0.123229
GeoCities	0.122447
HomeGrocer.com	0.121906
Expedia	0.118614
Inktomi	0.117928
XYLAN	0.11626
Ciena	0.115575
RealNetworks	0.113878
ZDNet	0.112954
Travelocity	0.112687
"Toys R Us"	0.111886
Lycos	0.110473
"Thermo Electron"	0.110355
Infoseek	0.110331
VENATOR	0.109699
Peapod	0.109443
Yahoo	0.106871
Qualcomm	0.103323
"Computer Associates"	0.103035
Healtheon	0.102228
"Rite Aid"	0.102055
MP@.com	0.102007
CompUSA	0.101959
CMGI	0.101653
Furniture.com	0.101346
"Fred Meyer"	0.101234
ascend	0.100715
AltaVista	0.100498
RJR	0.0997446
Petrofina	0.0997392
"U.S. Trust"	0.0981194
theglobe.com	0.0956238
Healtheon/WebMD	0.095137
bookseller	0.094623
TCI	0.0941412
NTL	0.0939056
TheStreet.com	0.0938725
TYCO	0.0937285
"America Online"	0.0936989
Sunbeam	0.0932266
E-LOAN	0.0932076
GEC	0.0928867
Mediaone	0.0926416
WPP	0.0926023
Akamai	0.0924569
DrKoop.com	0.0923995
"Best Buy"	0.0922231
Corel	0.0921009
Boo.com	0.0915538
"Union Carbide"	0.0911379
Comsat	0.0906169
Broderbund	0.0904327
Warnaco	0.0904298
Cendant	0.0897736
WorldCom	0.0897393
Emulex	0.0892816
Staples	0.0889443
Nabisco	0.0880657
Astra	0.0879145
Tenneco	0.0876897
Kmart	0.0873794
Cisco	0.0871233
"Dell Computer"	0.0869269
Viag	0.0868089
COLTEC	0.0864424
SkyTel	0.0864187
VoiceStream	0.0863423
Carrefour	0.0862582
SmithKline	0.0859718
BCE	0.0857735
Honeywell	0.0854264
AutoNation	0.0854163
"Bausch &AMP; Lomb"	0.0853363
ExciteAtHome	0.0851799
Chiron	0.0850939
Starbucks	0.0849616
Viacom	0.0848852
"Niagara Mohawk"	0.0846757
Aetna	0.0843967
DoubleClick	0.0843476
"Wells Fargo"	0.084263
EMC	0.084244
Schwab	0.0842379
NiSource	0.0841425
Checkfree	0.0835765
McKesson	0.0835285
Qwest	0.0832406
Seagram	0.083083
NORTHROP	0.0830343
"Times Mirror"	0.0827337
Broadcom	0.0826543
"Cox Communications"	0.0821007
EarthLink	0.0820625
Nortel	0.0820559
GTE	0.0820524
"Dell Computer Corp."	0.0819928
Amoco	0.0818196
MindSpring	0.0814809
Bestfoods	0.0814023
Dell	0.0811565
"RJR Nabisco"	0.081058
"National Grid"	0.0805352
Starwood	0.0800747
"Berkshire Hathaway"	0.0798428
"Global Crossing"	0.0797058
"Staples Inc."	0.0795393
Norwest	0.0791711
Walmart	0.079147
Mannesmann	0.078836
Compaq	0.0786033
Terra	0.0785479
Halliburton	0.0784724
NatWest	0.0782995
ARCO	0.0782206
AOL	0.0781871
Nextel	0.0779986
PEOPLESOFT	0.0779735
iVillage	0.0778807
"Circuit City"	0.0778422
"Time Warner"	0.0775417
Wal-Mart	0.0771558
"Home Depot"	0.0770985
REVLON	0.0768833
Northpoint	0.076872
AIG	0.0765497
Netscape	0.0762471
Asarco	0.0761186
WebMD	0.0759851
REI	0.0759763
"Pacific Century"	0.0756341
"HBO &AMP; Co."	0.0754061
Telefonica	0.0753762
YankeeNets	0.0752876
Novell	0.0751804
Safeway	0.0750417
"Boston Scientific"	0.074903
Georgia-Pacific	0.0748186
Airtouch	0.0742717
"Times Co."	0.0740655
"American Home"	0.0737185
Cablevision	0.0737112
"Wal-Mart Stores Inc."	0.0735796
"Ask Jeeves"	0.0735509
Paribas	0.073542
Salon.com	0.0735103
Medtronic	0.0735092
"Saks Fifth Avenue"	0.0731545
Genzyme	0.0731284
"Lycos Inc."	0.0730105
CompuServe	0.0729007
Monsanto	0.0728139
"Learning Co."	0.0727799
Gillette	0.072676
"BP Amoco"	0.0725747
Warner-Lambert	0.0724538
PolyGram	0.0721632
Sears	0.0720168
"P&AMP;G"	0.0719952
"Atlantic Richfield"	0.0719946
ENTERGY	0.0718534
Sepracor	0.0715959
sandpiper	0.0715955
"Yahoo Inc."	0.0715445
Corning	0.0714342
SBC	0.0711991
superstore	0.0711908
"New York Times Co."	0.0711246
CMG	0.0710575
Mobil	0.0710535
Biogen	0.0710181
"U S West"	0.0709983
"Johnson &AMP; Johnson"	0.0709054
QVC	0.0707381
Monster.com	0.0707296
BankBoston	0.0707069
"Air Canada"	0.0706363
))
(CDU (desc 4931.98) (sims
"Christian Democratic Union"	0.22261
"Christian Social Union"	0.180119
SPD	0.164086
"Christian Democrats"	0.156946
"National Action"	0.151415
Renamo	0.144774
SDP	0.140422
"Socialist Party"	0.137712
Golkar	0.137063
PDI	0.136415
"Christian Democrat"	0.134467
MPLA	0.131352
CCM	0.130286
"Social Democrats"	0.130282
UNIP	0.129961
PPP	0.122024
PCF	0.121747
CSU	0.121097
"Awami League"	0.120152
"Conservative Party"	0.119322
"Social Democratic Party"	0.119173
"Free Democrats"	0.119026
PASOK	0.118911
"Kenya African National Union"	0.11873
"Liberal Party"	0.118502
UNP	0.116852
Likud	0.116501
CPV	0.114984
PDP	0.114743
BJP	0.113805
"Canadian Alliance"	0.111723
PML-N	0.110266
Zanu-pf	0.109685
NLD	0.10941
"Vietnamese Communist Party"	0.109159
CPP	0.109116
NDP	0.107873
"Labor Party"	0.107455
FRELIMO	0.106592
"Russian Communist Party"	0.106125
UUP	0.105872
"Likud Party"	0.105722
"National League for Democracy"	0.105171
Laban	0.104635
Yabloko	0.104479
Lakas-NUCD	0.103821
LDP	0.103758
"African National Congress"	0.103557
Kanu	0.103248
FN	0.103222
"Janata Dal"	0.102374
MMD	0.102358
"Pakistan Muslim League"	0.101034
"Nationalist Party"	0.10089
"Freedom Union"	0.100655
MDC	0.10059
FORD-Kenya	0.100236
"Republican House"	0.100202
"Institutional Revolutionary Party"	0.100117
FUNCINPEC	0.100035
"Congress Party"	0.0996608
SDLP	0.0992888
"Social Democratic"	0.0992701
"Liberal Democratic Party"	0.0987042
ANC	0.0984742
CPN-UML	0.098455
"Green Party"	0.0983721
"Christian Democratic Party"	0.0980714
RPR	0.097497
"Independence Party"	0.0960722
"United Democratic Movement"	0.0959085
"National Party"	0.0958914
NRM	0.0956013
UMNO	0.0954899
"National Front"	0.0951048
UDF	0.0946987
BNP	0.0944448
OCA	0.0942099
"House Budget Committee"	0.0941813
"Cambodian People's Party"	0.0937403
"Bharatiya Janata Party"	0.0931647
PML	0.0928921
PRD	0.0920816
DPP	0.091957
NEA	0.0916861
NC	0.0915174
"Popular Party"	0.0913365
Tory	0.0912206
"Democratic Alliance"	0.0907323
NP	0.0906468
"Croatian Democratic Union"	0.090183
"Communist Party"	0.0901304
"National Action Party"	0.090104
"National Religious Party"	0.0894378
UDM	0.0893784
"Democratic Party"	0.0891338
Meretz	0.0890928
"United Malays National Organization"	0.0889006
"Banking Committee"	0.0885848
"People's Party"	0.0881066
"Democratic Revolution"	0.0874815
"Nahdlatul Ulama"	0.086919
"Commerce Committee"	0.0863014
"United National Independence Party"	0.0860942
Pd	0.0858173
UPU	0.0857183
SDS	0.0857118
Gesher	0.0855876
IFP	0.0853454
AmCham	0.0853071
Kuomintang	0.0851004
"Indonesian Democratic Party"	0.0849126
Lakas	0.0848909
DAP	0.0848769
Jamaat-e-Islami	0.0844991
"Golkar Party"	0.0844893
"Motherland Party"	0.0839973
RCD	0.0839599
"Ulster Unionist Party"	0.0830921
PRI	0.0824148
"Colorado Party"	0.0819627
CEC	0.081763
"New Democracy"	0.0817432
RPP	0.0817027
ZCTU	0.0813944
NKP	0.0806896
center-right	0.0806594
"Herri Batasuna"	0.0806546
UML	0.0805013
"Nepali Congress"	0.0801565
"House International Relations Committee"	0.0800357
"Democratic Progressive Party"	0.0797333
RNC	0.0796535
"Democratic Left"	0.0792911
"Bangladesh Nationalist Party"	0.0791045
UF	0.0786889
MQM	0.0783371
"Democrat Party"	0.0783116
SPS	0.0782563
"Civic Democratic Party"	0.0782497
CUF	0.0775674
"Parti Quebecois"	0.0773431
"Center Party"	0.0770068
Inkatha	0.0769291
"Republican Party"	0.0767522
"Senate Budget Committee"	0.0764739
"Chinese Communist Party"	0.0764695
"Democratic Unionist Party"	0.0764654
"United National Party"	0.0763493
"Islamic Jihad"	0.076158
"Pakistan People's Party"	0.0761311
"People's Democratic Party"	0.0760754
"Barisan Nasional"	0.0759118
"Sam Rainsy Party"	0.0758634
OAS	0.0757274
INEC	0.0754001
"Ulster Unionist"	0.0751389
"opposition party"	0.0750198
"Labour Party"	0.0749598
"Freedom Party"	0.0748408
"Democratic Left Party"	0.074363
"Reform Party"	0.0743483
"Islamic Movement"	0.074266
"Rwandan Patriotic Front"	0.0742332
"Rules Committee"	0.0741641
"Appropriations Committee"	0.0739186
Shas	0.0736921
DSE	0.073444
"United Liberal Democrats"	0.0732858
"House GOP"	0.0731472
"NZ First"	0.0730256
"Sinn Fein"	0.0726054
"Baath Party"	0.0725682
CCF	0.0719097
IEC	0.0718144
"Congressional Black Caucus"	0.0717606
COSATU	0.0715115
NAACP	0.071457
"Serbian Renewal Movement"	0.0713941
ama	0.0713225
"Senate Armed Services Committee"	0.0712722
"Gerhard Schroeder"	0.0711461
Totalfina	0.0711385
"National Defense Commission"	0.0710236
"Zimbabwe African National Union-Patriotic Front"	0.0709385
ZANU	0.0706977
"Senate Appropriations Committee"	0.0706667
"Ulster Unionists"	0.0704355
Fatah	0.0704292
"planning commission"	0.0702191
ICA	0.069841
"Inkatha Freedom Party"	0.0697743
"National Democratic Party"	0.0696705
Marketspan	0.0696086
DFB	0.0693742
ARATS	0.0693193
PBSI	0.0690724
Wada	0.0689609
"Senate Governmental Affairs Committee"	0.0689245
"New Party"	0.0687539
))
(CE (desc 1989.57) (sims
"Windows CE"	0.129878
emulator	0.106732
Midi	0.0957416
"Microsoft Windows"	0.0888369
IPU	0.0867183
handheld	0.0859867
nt	0.0846082
BLUETOOTH	0.0837648
eco	0.0799276
videophone	0.079746
Solaris	0.0790687
"application program"	0.0778047
OS/@	0.0753098
Unix	0.0750614
hand-held	0.0727118
"Windows NT"	0.0706364
Broderbund	0.0705398
MS-DOS	0.0695089
Macintosh	0.0689652
SCSI	0.0689209
"Mac OS"	0.0689008
Stratus	0.0681608
COMDEX	0.068104
A.D	0.0652011
Macworld	0.0651756
AHA	0.0631441
CPLP	0.0628289
decoding	0.0621559
"Game Boy"	0.0610194
PDA	0.0608945
OCA	0.0606826
"Windows @.@"	0.0600245
"Big West"	0.0598205
"Palm VII"	0.0594639
"Office @@@@"	0.0581055
SCLC	0.0578046
USB	0.0571835
DOS	0.0565778
"Universal Serial Bus"	0.0565039
playback	0.0562957
UPU	0.0558011
OECD	0.0557204
suction	0.0553318
Asia-Europe	0.0550567
emachines	0.0547673
Transamerica	0.0546878
Psion	0.0544809
XML	0.0541278
mem	0.0534103
"Anson Chan"	0.0533638
USTA	0.0530925
Os	0.0526508
Pustovoitenko	0.0525988
"Windows @@@@"	0.0521187
gnome	0.0515278
filtering	0.0514895
bare-bones	0.0514351
"Palm Pilot"	0.051362
C-USA	0.0511847
EAC	0.0511112
ASEM	0.0507994
"Playstation @"	0.050785
ICA	0.0504934
WebTV	0.0504746
triangulation	0.0504217
UMNO	0.0504
OAS	0.0502737
"Group of Rio"	0.0496976
"Secretary General Esmat Abdul-Meguid"	0.0493874
"hand-held computer"	0.0493547
PCI	0.0490377
ReplayTV	0.0489306
midrange	0.0489159
INRO	0.0488297
SAARC	0.0485744
mammography	0.0485197
PowerPoint	0.0484498
ZCTU	0.0483009
bundling	0.0480642
Quicktime	0.0479616
"Russian Communist Party"	0.0477895
G-@@	0.0477505
BSA	0.0474944
Seagate	0.0472476
visor	0.0470521
WordPerfect	0.047042
ICC	0.0470274
add-on	0.0470018
PalmPilot	0.0469009
Handspring	0.0468527
"Office @@"	0.0467546
dictation	0.0466971
"Silicon Graphics"	0.0466829
"space age"	0.0465586
CITES	0.0465137
OIC	0.0464512
Photoshop	0.0464451
WCC	0.0463958
"Fortune Global Forum"	0.0463274
ARF	0.0461869
countertop	0.0460101
avionics	0.0458955
GCC	0.0458136
TiVo	0.0457201
JVC	0.0455706
millon	0.0454702
SETI	0.0454181
Meguid	0.0452708
inkjet	0.0450196
carnivore	0.0450088
coding	0.0448844
ABA	0.0447128
"standing room"	0.0446575
identifier	0.0446281
IGC	0.0446192
ISU	0.0445922
KEDO	0.0445471
Agilent	0.0445463
"Australian Olympic Committee"	0.0444829
VFW	0.0442702
taskbar	0.0442324
"Group of @@"	0.0441542
PTA	0.044139
WEU	0.043863
"Packard Bell"	0.0438427
"other @@@"	0.043838
bookkeeping	0.0436577
"magnetic resonance imaging"	0.0436144
madame	0.0435806
interagency	0.0434791
INTERFET	0.0434377
DIVX	0.043375
"face saving"	0.0433739
firewall	0.0433728
TNN	0.0433668
"number crunching"	0.0433099
ILO	0.0432994
NPT	0.0432771
WTA	0.0432701
"Weather Information"	0.0429338
"National Council of La Raza"	0.042762
"tax avoidance"	0.0427208
MCC	0.0425924
CSE	0.0425646
"radio frequency"	0.0425141
NHRA	0.0424996
Encryption	0.0423349
"Damascus Declaration"	0.0420742
ITF	0.0419799
Braille	0.0419547
Post-Intelligencer	0.041884
"last two digits"	0.0418436
PBA	0.0418057
Inman	0.0417373
PCC	0.0416846
five-point	0.0415792
N@@	0.0415626
Thinkpad	0.0415376
"Caribbean Community"	0.0415224
"consumer electronics"	0.0414843
G@	0.0414569
Powerbook	0.0413844
OSCE	0.041287
"Deep Blue"	0.041207
S@@	0.0411313
"Western Athletic Conference"	0.0408672
ESCAP	0.0408135
"airplane ticket"	0.0408108
NCEC	0.0407798
"Universal Pictures"	0.0407615
ecotourism	0.0407353
Pangalos	0.0404707
"second hand"	0.0403976
IDB	0.0402703
PATA	0.0402357
Gigahertz	0.0401083
Nepa	0.0400047
))
(cease (desc 1617.14) (sims
Cessation	0.121996
truce	0.0793265
de-escalation	0.0787377
termination	0.0768309
phaseout	0.07394
armistice	0.073652
"engine room"	0.0731836
Intensification	0.072005
multiyear	0.071434
"fraternity house"	0.068888
ceasefire	0.0685468
"stay of execution"	0.0669369
Zane	0.0665683
"summary judgment"	0.0638169
"form letter"	0.0637774
renegotiation	0.063543
disavowal	0.0627212
renunciation	0.059979
musket	0.0594618
scrapping	0.0594369
"crisis situation"	0.0575524
annulment	0.0569235
Israeli-Arab	0.0563614
Ochoa	0.0561054
two-third	0.0560122
rollback	0.0546636
lessening	0.0544777
Geiger	0.0537463
reconsideration	0.0532278
"warning signal"	0.0531019
rethinking	0.0529282
"Don Juan"	0.052684
manhole	0.0526741
reexamination	0.0523387
"Good Friday"	0.0522252
commencement	0.0512493
"third night"	0.0511615
"death warrant"	0.0510075
fast-track	0.050997
oil-for-food	0.0505395
"distress signal"	0.0505203
reciprocity	0.0503949
abdication	0.0489681
"vicious cycle"	0.0486335
Muslim-Croat	0.048381
Fernandes	0.0483209
"safety problem"	0.0482969
reinstatement	0.0482274
Hsieh	0.0480793
"census taker"	0.0479686
"tax change"	0.0479653
easement	0.0479462
legalization	0.0478774
reevaluation	0.0478376
demilitarization	0.0477612
"dance hall"	0.0477135
calmness	0.047617
overdraft	0.0475432
"guardian angel"	0.0475289
flare-up	0.0475128
disbandment	0.0474437
U.S.-British	0.0472669
adjournment	0.0470007
Abner	0.0469357
reestablishment	0.0468622
"expression of regret"	0.0467938
seven-point	0.0467036
around-the-clock	0.046647
"atmospheric condition"	0.0465643
phase-out	0.0464582
peat	0.0464023
decommissioning	0.0458851
"Policy Address"	0.0455353
Kanungu	0.0455325
"right of way"	0.0455285
"Lusaka Peace Accord"	0.0454214
reconfiguration	0.0451814
Thirty-five	0.0451582
"submachine gun"	0.0451533
"breathing space"	0.0450132
undercurrent	0.0446984
Bloch	0.0445637
containment	0.0444434
interconnection	0.0443387
enumeration	0.0442328
"heavy weapon"	0.0440173
swain	0.0440091
encyclical	0.0439882
retraction	0.0439493
nine-hour	0.0438788
stayaway	0.0438079
readout	0.043586
gunboat	0.0434876
toll-free	0.0433965
Carollo	0.0429421
upshot	0.0429313
stoppage	0.0428545
enumerators	0.0427505
Okada	0.0427472
"Marshall Plan"	0.0425783
nationalization	0.0425188
flareup	0.0424999
six-point	0.0424377
Fallon	0.0424062
revocation	0.0423853
abolishment	0.0423472
"Dale Jr."	0.0422117
Reauthorization	0.0419803
reorientation	0.041874
NIC	0.0417624
Grounding	0.0416073
time-out	0.0416021
"wage increase"	0.0415399
tenancy	0.0413811
abhorrence	0.0413399
glorification	0.0410843
"arrest warrant"	0.0410102
double-teams	0.0409378
lemming	0.0408713
carbine	0.0408643
enquiry	0.0408558
Alonzo	0.0407921
"automatic rifle"	0.0407568
BSF	0.0406326
cutoff	0.0406214
flashbulb	0.0405818
"margin call"	0.0403845
nullification	0.0402915
intercession	0.0402635
House-Senate	0.0401318
"oil slick"	0.04009
"International Day"	0.0400419
pimpernel	0.0400328
Eurobond	0.0400075
))
(cease-fire (desc 50718) (sims
ceasefire	0.411095
truce	0.360516
accord	0.178793
agreement	0.156093
peace	0.151397
pact	0.148682
Cessation	0.146444
withdrawal	0.140688
moratorium	0.131962
"peace treaty"	0.131797
demilitarization	0.131449
disarmament	0.128371
Treaty	0.12446
settlement	0.123879
compromise	0.116461
resolution	0.115532
reconciliation	0.115374
resumption	0.114947
pullout	0.114259
armistice	0.11414
deployment	0.108701
negotiation	0.106409
amnesty	0.105749
"trade agreement"	0.103213
pullback	0.102907
ban	0.101445
protocol	0.10031
solution	0.0989807
mediation	0.0978364
autonomy	0.0977823
Implementation	0.0976441
lifting	0.0975876
conflict	0.0973658
arrangement	0.0956451
halt	0.0951491
intervention	0.0951203
deal	0.0948164
dialogue	0.0940064
talk	0.0926071
understanding	0.0913825
referendum	0.0913523
fighting	0.0911328
hostility	0.0909955
timetable	0.0888445
surrender	0.0884765
cooperation	0.0880856
redeployment	0.0879039
memorandum	0.0871921
pledge	0.0866662
postponement	0.0858749
process	0.0858596
reform	0.0855938
extension	0.083784
closure	0.0837377
Declaration	0.0834251
disengagement	0.0833786
embargo	0.0833763
suspension	0.0832554
reduction	0.08285
framework	0.0826667
independence	0.0823379
boycott	0.0821732
commitment	0.0821522
Liberalization	0.0814248
dialog	0.0813843
strike	0.0811916
"free trade"	0.0810454
initiative	0.0809143
Wye	0.0808003
sanction	0.0806554
unity	0.0798745
normalization	0.0793994
election	0.0793384
resignation	0.0791854
CTBT	0.0786006
demarcation	0.0785584
self-rule	0.0780364
summit	0.0774797
war	0.0773816
crackdown	0.0772809
principle	0.0771648
decree	0.0770134
concession	0.0769373
"Oslo Accords"	0.0765811
legislation	0.0765772
action	0.0765043
merger	0.0759601
Alliance	0.075815
curfew	0.0757521
separation	0.0757109
airstrikes	0.0755769
pardon	0.0753147
measure	0.0748889
proposal	0.0747089
consensus	0.0744734
reunification	0.0744334
"civil war"	0.0744078
unification	0.0741711
freeze	0.0738144
policy	0.0736487
constitution	0.0735609
"military action"	0.0733797
partnership	0.0733705
contract	0.073069
"Geneva convention"	0.0729615
handover	0.0729493
mechanism	0.0729467
crisis	0.0728127
"rate cut"	0.0727137
offensive	0.0725046
rebellion	0.0723138
rule	0.0719269
"Lusaka Protocol"	0.0718949
mandate	0.0714769
stability	0.0714593
guideline	0.0714505
meeting	0.0713588
establishment	0.0711769
reinstatement	0.0711472
deadlock	0.0707658
"rule of law"	0.0706208
democracy	0.0702197
integration	0.0700836
consultation	0.0699989
revision	0.069936
signing	0.0698405
bailout	0.0697575
pause	0.0697369
law	0.0697054
repatriation	0.0696601
quota	0.0695853
"general election"	0.0694781
Mission	0.0692494
government	0.069103
accession	0.0690557
breakthrough	0.0689332
renewal	0.0689253
clash	0.0687653
coup	0.0684286
walkout	0.0684126
regulation	0.0684084
Coalition	0.0682527
formation	0.0682338
charter	0.0681553
provision	0.068051
bloodshed	0.0679598
guarantee	0.0679464
deadline	0.0677472
restoration	0.0676001
participation	0.0673786
"Sino-British Joint Declaration"	0.0672596
coordination	0.0671726
bombing	0.0671534
"Wye River"	0.0665264
lull	0.066475
progress	0.0664109
injunction	0.0662317
"human right"	0.0660886
"code of conduct"	0.0660674
abolition	0.0660567
statehood	0.0660541
"Free Trade Area"	0.0660035
swap	0.0658906
"tax cut"	0.0658373
"labor contract"	0.065833
strategy	0.0656098
engagement	0.0655747
"basic principle"	0.0655554
directive	0.065537
communique	0.0655215
overhaul	0.0653767
effort	0.0652336
self-government	0.0650599
self-determination	0.0649986
escalation	0.064825
decision	0.0647093
"military campaign"	0.0646284
takeover	0.0645838
creation	0.0644578
violence	0.0643431
U.N.	0.0642998
parole	0.0642901
transfer	0.06423
"START II"	0.0641355
reprieve	0.0639376
expansion	0.0638865
blackout	0.0638757
clemency	0.0637401
lease	0.0637364
"labor agreement"	0.0635548
shutdown	0.0635487
rapprochement	0.0633719
uprising	0.06336
peacekeeper	0.0632937
"arms control"	0.0632418
"Joint Declaration"	0.0631951
"work stoppage"	0.0631798
secession	0.0631556
involvement	0.0630834
modality	0.0630453
))
(ceasefire (desc 34142.8) (sims
cease-fire	0.411095
truce	0.316322
Cessation	0.183188
demilitarization	0.14315
accord	0.134653
peace	0.13258
withdrawal	0.125335
disarmament	0.125011
pact	0.124049
agreement	0.120314
moratorium	0.120276
"peace treaty"	0.111212
resumption	0.111078
amnesty	0.107272
reconciliation	0.10578
pullout	0.103206
settlement	0.102544
armistice	0.101269
"trade agreement"	0.100144
disengagement	0.0995523
"Lusaka Peace Accord"	0.0987819
Treaty	0.0981131
hostility	0.0974054
Implementation	0.0945407
compromise	0.0912957
deployment	0.0906001
lifting	0.0902183
dialog	0.0900201
fighting	0.0900035
negotiation	0.0893815
resolution	0.0890994
pullback	0.0890003
halt	0.0874093
ban	0.0868879
"Oslo Accords"	0.0867831
redeployment	0.0865657
mediation	0.0865217
protocol	0.0857209
dialogue	0.0848436
conflict	0.0842942
normalization	0.0838092
repatriation	0.0837372
cooperation	0.0832513
solution	0.0830189
"Lusaka Protocol"	0.0821046
postponement	0.082053
arrangement	0.0817078
autonomy	0.081636
process	0.079997
surrender	0.0788072
embargo	0.0781736
reduction	0.0778684
suspension	0.0765449
curfew	0.0759658
understanding	0.0754902
reform	0.0747377
demobilization	0.0743828
bloodshed	0.074047
"free trade"	0.0735407
separation	0.0734194
CTBT	0.0731542
sanction	0.0728847
Liberalization	0.0728666
freeze	0.0726069
"Lome Convention"	0.0724242
memorandum	0.0719331
"labor contract"	0.0714809
timetable	0.0711844
power-sharing	0.0701438
Wye	0.0698778
reinstatement	0.069867
closure	0.0694185
"military action"	0.0693931
skirmish	0.0690563
extension	0.0690385
"Sino-British Joint Declaration"	0.0689871
integration	0.0688518
commitment	0.0687773
self-rule	0.0681716
"rule of law"	0.0681519
intervention	0.0680211
framework	0.0680066
restoration	0.067991
referendum	0.067609
offensive	0.0675033
unity	0.0674302
stability	0.0670616
boycott	0.0670451
airstrikes	0.0669224
pledge	0.0668669
"START II"	0.0668211
convening	0.0664072
rapprochement	0.0663371
deadlock	0.0663312
guarantee	0.0657779
Declaration	0.0657739
coordination	0.0657073
"human right"	0.0656769
reunification	0.0654277
"Geneva convention"	0.0650942
partnership	0.0646932
rebellion	0.0643795
"civil war"	0.0641351
clash	0.0640942
principle	0.0639881
"arms control"	0.0639748
lull	0.0638619
escalation	0.0638491
accession	0.0638113
Mission	0.0636714
initiative	0.0635982
establishment	0.0635915
self-determination	0.0631029
mandate	0.0628021
"Joint Declaration"	0.0627877
handover	0.0626342
democracy	0.0626017
"human rights"	0.0624002
"labor agreement"	0.0623614
consultation	0.0620929
consensus	0.061799
"rate cut"	0.061704
demarcation	0.0615766
"Wye River"	0.0615613
election	0.0614012
"Comprehensive Test Ban Treaty"	0.0613051
crackdown	0.0612963
formation	0.0612708
sovereignty	0.0611433
"military campaign"	0.0610116
engagement	0.0609562
Israeli-Syrian	0.0609253
pardon	0.0608185
renewal	0.0607344
decree	0.0606611
tranquility	0.0603593
Syrian-Israeli	0.0603341
"wage increase"	0.0600954
progress	0.0600361
arbitration	0.0597542
independence	0.059522
self-government	0.0595082
summit	0.0593766
resignation	0.0593489
easing	0.0593066
swap	0.0590071
pause	0.0587181
status	0.0586585
security	0.0586574
democratization	0.0586529
concession	0.058452
standoff	0.0584152
constitution	0.0583761
solidarity	0.0583205
"state of war"	0.0582749
relation	0.0581963
unification	0.0579609
"merger agreement"	0.0579327
quota	0.0578433
provision	0.0577877
legislation	0.0577196
crisis	0.0577175
FTA	0.0576693
"code of conduct"	0.0575326
situation	0.0574191
blockade	0.0574091
breakthrough	0.0573932
bailout	0.0573518
merger	0.0572787
inspection	0.0572581
peacekeeper	0.0572258
participation	0.0572132
termination	0.0571908
reshuffle	0.0570594
statehood	0.0570504
troop	0.0569995
directive	0.0569308
bombing	0.0569153
expansion	0.056868
impasse	0.0567291
"employment contract"	0.0566888
mechanism	0.0565987
Alliance	0.0565325
restriction	0.0564841
Palestinian-Israeli	0.0564552
parole	0.0563744
regulation	0.0563312
lease	0.0562712
continuation	0.055909
revision	0.0558447
stalemate	0.0557702
NPT	0.0556113
bombardment	0.0556091
"customs union"	0.055431
guideline	0.0554076
verification	0.0553871
confrontation	0.0553229
blackout	0.0549937
dissolution	0.054883
compliance	0.0548762
))
(Ceausescu (desc 2055.26) (sims
Duvalier	0.176455
Mobutu	0.136851
shah	0.109251
Batista	0.100811
Allende	0.0955468
"Pol Pot"	0.0945795
Marcos	0.0934183
Stalinist	0.0921657
"Nationalist Party"	0.0826401
"Czar Nicholas II"	0.0797146
Dudayev	0.0792957
Gerardi	0.0783404
"Mobutu Sese Seko"	0.0747824
Dahmer	0.0738615
Nkabinde	0.0734035
Guei	0.0710305
"Mohamed Siad Barre"	0.070528
"Saddam Hussein"	0.0696695
Suharto	0.0689186
O'Malley	0.0686794
Borodin	0.0686531
non-Albanians	0.0686349
"Ayatollah Khomeini"	0.0680662
Bedie	0.0675249
Raduyev	0.0660779
Villanueva	0.0659938
"John Kennedy Jr."	0.0649863
"King Letsie III"	0.0644453
Kabbah	0.0639665
Khrushchev	0.0636841
Webdale	0.0627171
"Afghan Taliban"	0.0620209
"Gary Graham"	0.0618453
"Manuel Noriega"	0.0618104
Rabbani	0.061491
Marxist	0.0614684
"Sani Abacha"	0.060994
Zhivkov	0.0605013
Tito	0.0603604
Patel	0.0602884
Franco	0.0598806
Nero	0.0597794
Bhutto	0.0595165
Noriega	0.0592247
Aquino	0.0591292
Garrity	0.0586963
"Karla Faye Tucker"	0.0586449
"Khmer Rouge"	0.0586427
Snead	0.0586375
"Idi Amin"	0.0572134
Sihanouk	0.0570064
"Cindy McCain"	0.056782
"Fidel Castro"	0.0563785
"St. James"	0.0562928
Chinese-Indonesians	0.0559728
Sandinista	0.0556595
Crockett	0.0550838
Salazar	0.0547341
Aristide	0.0546913
Dorsey	0.0544964
Julius	0.0544776
Trudeau	0.0543824
Papon	0.0538797
Meciar	0.0538696
Stalin	0.0535936
Hensley	0.0535158
monarchy	0.0533675
Nicholas	0.0533078
Rosenberg	0.0530663
Harrick	0.0523938
pharaoh	0.0519947
Amedure	0.0512973
Nanking	0.0512386
"Ken Saro-Wiwa"	0.0509039
Palczynski	0.0509001
Phills	0.0508043
"Moammar Gadhafi"	0.0506768
Gadhafi	0.0500685
Koroma	0.0500245
"United National Party"	0.0500047
Ayatollah	0.0498245
Pasha	0.0497891
Dostum	0.0496635
"JFK Jr."	0.0492129
Moxley	0.049032
"Nicholas II"	0.0489398
Binion	0.0485973
Passarella	0.0485886
Willes	0.0483089
Gaither	0.0481993
Kuomintang	0.0480828
Hutu	0.0478065
Taleban	0.0477079
Mitterrand	0.0476837
"Russian Jews"	0.0475486
Mussolini	0.0474701
Sharma	0.0471928
"mentally retarded"	0.0471291
Rusch	0.0470564
Pyle	0.0468951
Hemings	0.0466102
Hofer	0.0462939
Vieira	0.0460817
Lockwood	0.0459436
Romanov	0.0458306
Maskhadov	0.0457254
Trujillo	0.0456725
Bratton	0.0456372
Echegaray	0.0455084
Tudjman	0.0452906
Hani	0.0452316
Pereira	0.0451548
"Rashid Dostum"	0.0448139
"school girl"	0.0446693
thuggish	0.0446526
Caesar	0.0445831
"Alexander the Great"	0.0445698
Sheppard	0.0444912
Mokhehle	0.0443747
"secret plan"	0.0441658
Rosenblatt	0.0437944
Sukarno	0.0434125
Chouinard	0.0432405
Mease	0.0430497
Gorbachev	0.0429413
Barton	0.0428731
"Timothy McVeigh"	0.0428476
"Olympic Movement"	0.0428371
McColl	0.0427462
"South Vietnamese"	0.0425868
Guerin	0.042586
Slepian	0.0425342
"Roman Empire"	0.0425014
Escobar	0.0424445
Musa	0.0421562
Mahuad	0.0421139
Fahey	0.042025
Sadat	0.0419161
Bucaram	0.0416721
Napoleon	0.0416045
Stackhouse	0.0415763
Tutsi	0.0415465
Tillman	0.0415096
Donahue	0.0412779
Oswald	0.0411866
"power of attorney"	0.0411847
Greenwald	0.0410948
TrustE	0.0410175
"Adolf Hitler"	0.040973
"Ferdinand Marcos"	0.0409697
"Kosovar Albanians"	0.0408726
Marcoses	0.0407907
Lissouba	0.0407673
Bongo	0.0406452
Sato	0.0405644
Hartman	0.0403754
Amin	0.0403316
Edo	0.0403178
Havelange	0.0402177
Kopp	0.0401879
Custer	0.0401379
Tuinei	0.0401336
rudd	0.0401038
Neulander	0.0400594
))
(Ceballos (desc 1596.11) (sims
Nowitzki	0.147385
Baerga	0.131795
Turgeon	0.127077
McDyess	0.126991
Kukoc	0.124482
Longley	0.124171
Primeau	0.123129
Polynice	0.123092
Sabonis	0.121971
Duchesne	0.120676
Stoudamire	0.120192
Geiger	0.118066
Segui	0.117274
Abdur-Rahim	0.116622
Trent	0.116054
Gugliotta	0.114848
Najera	0.111917
Olowokandi	0.111042
Harkes	0.110968
"Van Exel"	0.110895
Schrempf	0.110124
Meares	0.108659
Laettner	0.107573
Surhoff	0.107503
Alou	0.107257
MARBURY	0.106414
Hardaway	0.106332
Pruett	0.106101
Godfrey	0.10556
"Dirk Nowitzki"	0.103325
Lafleur	0.103297
"Cedric Ceballos"	0.102872
Daigle	0.10281
Palffy	0.10259
Lieberthal	0.10235
Bibby	0.102155
Finley	0.102038
Croshere	0.101554
Atler	0.100615
Mayweather	0.100268
"Van Horn"	0.100097
Reichel	0.0997919
Leetch	0.0989414
Canseco	0.0988779
Skiles	0.0988339
Neff	0.0984471
Caminiti	0.0980451
Pippig	0.0977457
Camacho	0.0974773
Laperriere	0.0972934
Lobo	0.0964432
Roenick	0.0964053
Oakley	0.0957829
Stackhouse	0.0955604
Dunleavy	0.0937471
Wenger	0.0928175
Rosenblatt	0.0925556
Zeile	0.0922821
Fizer	0.0920235
Klinsmann	0.0917428
Cassell	0.0917186
Garrity	0.0914644
"Eric Snow"	0.0914452
Cora	0.0911959
Dele	0.0911923
Stoneman	0.0911111
Bullard	0.0910828
Faulk	0.0910547
Szczerbiak	0.0908246
Savarese	0.0908188
DiSarcina	0.0901607
Velarde	0.0900847
DeBerg	0.0900209
Laudrup	0.0898532
"Jermaine O'Neal"	0.0897222
Yzerman	0.0897086
Lindros	0.0896794
Harbaugh	0.0895752
Mendez	0.0886554
Iverson	0.0884637
Webber	0.0883852
Strickland	0.088344
Dunston	0.0881587
Vogts	0.088106
Carbonneau	0.0881015
Guillen	0.0877067
Cirillo	0.0871384
"Ian Wright"	0.0868939
Adkins	0.086239
Richter	0.0859502
Bourque	0.0857668
Strahan	0.0856564
Dunham	0.0853662
El-Amin	0.0852629
Sele	0.0852175
Bierhoff	0.0851987
Mullin	0.0851969
Murrell	0.0851404
Womack	0.0851086
Kerr	0.085078
Valenzuela	0.0850322
McCloud	0.0845939
Summitt	0.0845524
Arbour	0.0845512
Swoopes	0.084513
Holdsclaw	0.0844912
Pederson	0.0843514
Garnett	0.0840998
Hornacek	0.0840805
Sykora	0.0839726
Nesby	0.0839499
Unser	0.0838236
Zolak	0.0838221
Sydor	0.08378
Beltre	0.0837757
Bure	0.0835802
Larkin	0.0835643
Swann	0.0834989
Frye	0.0834949
Mercer	0.0834482
"Brian Scalabrine"	0.0833476
Gillom	0.083255
Carr	0.083137
Bonilla	0.0830989
Gilmour	0.0826098
"Theo Fleury"	0.0824282
Aventajado	0.0823645
Fleury	0.0821567
Polgar	0.0821061
Olajuwon	0.0820503
Matthaeus	0.0817727
Alicea	0.0816106
Troussier	0.0813859
Espinosa	0.0810894
Brogna	0.0810757
Samuelsson	0.0809302
Longo	0.0804191
Donnan	0.0804172
Schmid	0.0803939
Tuberville	0.0800173
Romario	0.0798969
Odom	0.0798789
Donato	0.0798313
"Damon Stoudamire"	0.079691
Pincay	0.0795845
Gatling	0.0794579
"Matt Geiger"	0.0794375
"Steve Nash"	0.0794153
"Courtney Alexander"	0.0793828
Pippen	0.0793823
Giambi	0.0793642
Mikhailov	0.079315
Smits	0.0793011
McCarty	0.0792126
Fortson	0.0791424
Horry	0.0789036
Neuheisel	0.078859
Antley	0.0785855
LeClair	0.0784932
Ausmus	0.0783289
Andreychuk	0.0781878
Biggio	0.0781764
Tkachuk	0.0781662
Scalabrine	0.0781335
Recchi	0.0780963
Walbeck	0.0779703
"ZIGMUND PALFFY"	0.077819
Holik	0.0778083
Kovalev	0.0777185
Timms	0.0774194
Zanardi	0.0774156
Schuerholz	0.0774101
Ruehe	0.0772976
Counsell	0.0772706
McGrady	0.0771442
Tverdovsky	0.0771186
Romar	0.0770173
Vieri	0.0770139
Leyland	0.0769187
Metcalf	0.0768872
Meche	0.0767979
Tomko	0.0767881
Muoneke	0.0765937
Chmura	0.0765854
Palmeiro	0.0765714
Kapono	0.076539
Eizenstat	0.0765331
"Clifford Robinson"	0.0765299
Gannon	0.0763318
Xiong	0.0761478
Trepagnier	0.076026
Elster	0.0760253
Abdul-Jabbar	0.0759959
Kemp	0.0759957
Irvan	0.0759516
Cedeno	0.0759474
Brandon	0.0759276
Brister	0.075817
"Ted Johnson"	0.0757586
Fleischer	0.0757248
))
(Cebu (desc 3386) (sims
Subic	0.208179
Zamboanga	0.197533
Davao	0.195981
Phuket	0.186401
Cochabamba	0.180821
Bamiyan	0.165105
Antalya	0.157243
Cartagena	0.154304
Murmansk	0.148327
Isfahan	0.146047
Herat	0.143594
Cotabato	0.142297
"CHIANG MAI"	0.141643
Beira	0.141395
Aswan	0.138943
Nagoya	0.13636
Izmir	0.136045
Zhangzhou	0.132729
Najaf	0.129798
Bushehr	0.12835
Kaohsiung	0.128193
Quanzhou	0.124845
Huambo	0.123504
"Subic Bay"	0.12228
Oro	0.121061
Jeddah	0.120835
Aqaba	0.118887
Jolo	0.118183
Bangalore	0.11807
Basra	0.116663
Gdansk	0.116144
Luzon	0.114129
Inchon	0.113209
Sidon	0.113182
Vientiane	0.112766
Bulawayo	0.112709
Christchurch	0.112588
Palawan	0.111677
Andulo	0.110903
Durban	0.11058
Beihai	0.110448
Pusan	0.110235
"Chiang Rai"	0.109547
Guayaquil	0.109436
Krasnoyarsk	0.108969
Kandy	0.107662
Kisumu	0.107074
Zhuhai	0.107014
Bali	0.106909
Langkawi	0.106873
Talipao	0.106729
MAPUTO	0.106215
Ensenada	0.106029
Novosibirsk	0.104273
Baotou	0.104253
Yekaterinburg	0.104221
Multan	0.103305
Yogyakarta	0.102969
Windhoek	0.102831
ZHOUSHAN	0.102807
Thessaloniki	0.10278
Bursa	0.102735
Manila	0.102242
Xuzhou	0.102164
Ashkelon	0.102123
Yokohama	0.102118
"Banja Luka"	0.101829
"San Salvador"	0.101563
Osaka	0.101522
Tete	0.101421
"Egyptian capital"	0.100681
"Kuala Lumpur"	0.100674
Durres	0.100458
Batam	0.100313
Liuzhou	0.100228
Bogor	0.0999207
Trincomalee	0.0993211
Benguela	0.0990034
Mandalay	0.0989354
Bengkulu	0.0984537
"Quebec City"	0.0983936
Weifang	0.0983856
Chennai	0.0983754
Qingdao	0.0981525
Sakhalin	0.0976559
Gaborone	0.0976503
Kuito	0.0976127
Bailundo	0.0975413
Kyoto	0.097473
Sevastopol	0.0968612
Baalbek	0.0967133
Lianyungang	0.0966303
Rabat	0.0962508
Dodoma	0.0961444
Limassol	0.0959673
Anshan	0.0955814
Kandahar	0.0955494
Kuching	0.0952658
Salzburg	0.0952647
Auckland	0.0951055
Tapachula	0.0950351
Malaga	0.0949905
Muscat	0.0949256
Eilat	0.0948905
Diyarbakir	0.0948757
Taipei	0.0948428
Acapulco	0.0942266
Doha	0.0938509
Alexandria	0.0938418
Xiamen	0.0937648
Aachen	0.0934917
Qom	0.0931842
BLANTYRE	0.0931817
Mombasa	0.0929017
Vladikavkaz	0.0927855
Zhangjiajie	0.0921296
Almaty	0.0919883
Vilnius	0.0915999
Shiraz	0.0913277
Ningbo	0.0912805
Baoding	0.0912191
Golmud	0.0911443
Dushanbe	0.0911107
TUNIS	0.0910003
Nago	0.0908521
Zhangjiagang	0.0906299
Mosul	0.0901529
Vladivostok	0.089977
"San Pedro Sula"	0.0898169
Shantou	0.089553
Cabinda	0.0894779
Luoyang	0.0893546
Yichang	0.089335
MANAMA	0.0893069
Fukuoka	0.0893046
Sanya	0.0892262
Peshawar	0.08919
Catania	0.0890461
Zhanjiang	0.088974
Chengde	0.0887732
"Surat Thani"	0.088732
Nablus	0.0883775
Ismailia	0.0881608
Tripoli	0.0880674
Kabwe	0.0880259
Fuzhou	0.0878122
Honolulu	0.0868781
Midrand	0.0868183
Jalalabad	0.0868033
Riyadh	0.0866115
Gudermes	0.086419
Datong	0.086308
Cairns	0.0863079
Krakow	0.0862561
Astana	0.0862275
Galle	0.0862214
Kismayu	0.0861127
Okinawa	0.0859877
Basilan	0.0857985
SENDAI	0.0855086
Bamako	0.0852407
"Ho Chi Minh City"	0.0850692
Pampanga	0.0850177
Odessa	0.0849121
Shashi	0.0848046
Minsk	0.0847597
Lucknow	0.0846633
Rawalpindi	0.0844917
Sapporo	0.0844046
Duesseldorf	0.0838085
CARACAS	0.0837596
Calcutta	0.083689
Istanbul	0.0836666
Sirte	0.0836334
Hyderabad	0.0835629
Yantai	0.0830199
Bangkok	0.0830181
Guilin	0.0825442
Rafah	0.0824933
Haicheng	0.0821232
Piraeus	0.0820164
Ndola	0.0818653
Lahore	0.0818164
"Iranian capital"	0.08164
Bandung	0.081592
Posoltega	0.0815349
Lubumbashi	0.0814829
Mbabane	0.0814477
SEOUL	0.0813862
Taizhou	0.0812303
Klagenfurt	0.0812303
Haifa	0.0811701
Zhenjiang	0.081117
Khulna	0.0811
Antwerp	0.0810359
Manado	0.0809945
Shenzhen	0.0808089
Dongguan	0.0807987
Wuxi	0.0807842
Izmit	0.0807633
))
(CEC (desc 1673.64) (sims
"Electoral Commission"	0.180792
CMAG	0.176848
NSC	0.171949
PCC	0.153156
CSC	0.146352
"Israeli Cabinet"	0.142572
KPU	0.140644
JMC	0.137836
IEC	0.135283
NCEC	0.13415
"Rules Committee"	0.133795
"Kim Jong-pil"	0.132016
"Central Election Commission"	0.130656
CSRC	0.129122
"Senate Governmental Affairs Committee"	0.127312
OCA	0.127042
"ethics committee"	0.126216
"House International Relations Committee"	0.125757
"EU Commission"	0.125347
CSA	0.124874
"PLO Executive Committee"	0.124683
CIRC	0.123599
"Great Hural"	0.12229
"House Budget Committee"	0.118179
"James Hormel"	0.117873
Ruthardt	0.116974
PUC	0.116627
PBSI	0.116137
RNC	0.11583
ITF	0.114593
FOMC	0.113968
NLD	0.113714
"Truth Commission"	0.113545
"Banking Committee"	0.113316
"Housing Authority"	0.112623
INEC	0.111921
"Senate Budget Committee"	0.111123
"Ethics Commission"	0.110192
UNAMET	0.109612
Histadrut	0.109128
conferees	0.109109
"National Electoral Commission of Nigeria"	0.108977
Vasile	0.108473
Ombudsman	0.108337
Westendorp	0.108126
CAA	0.107836
MPLA	0.107753
SJC	0.107495
ILO	0.10728
CFTC	0.106002
"Human Rights Commission"	0.105856
"Bill Lann Lee"	0.105733
FRELIMO	0.105705
"National Election Committee"	0.105673
DSE	0.10557
Lari	0.105476
"U.S. Fed"	0.105444
OAS	0.105259
EC	0.104546
"U.S. Soccer Federation"	0.104486
"Nevada Athletic Commission"	0.104329
DEP	0.104286
SPDC	0.103568
"Ways and Means Committee"	0.10334
DLC	0.101328
"U.S. Defense Department"	0.10125
"Israeli Foreign Ministry"	0.101214
"election commission"	0.10075
UNMOVIC	0.100667
SDPC	0.100595
"Federal Reserve Board"	0.100271
Sahnoun	0.100065
Danforth	0.0999169
KONI	0.0993816
"U.S. Immigration and Naturalization Service"	0.099252
"Police Commission"	0.0991581
Venables	0.0989876
"Commerce Committee"	0.097985
IFP	0.0977864
"Horst Koehler"	0.097592
Presidium	0.0974807
ADL	0.0973434
MMD	0.0973048
"Appropriations Committee"	0.0966579
ECB	0.0965715
"Home Ministry"	0.0961649
"Football Association"	0.0961464
"U.S. Congress"	0.0960949
DAP	0.0957219
"Olympic Committee"	0.0956123
GSS	0.0954768
"House Banking Committee"	0.0954205
WEF	0.0951071
NTSB	0.0949731
"Commonwealth Ministerial Action Group"	0.094947
Canty	0.0945246
"Foreign Relations Committee"	0.094451
ESCAP	0.0942937
SPS	0.0942836
EEOC	0.0940224
Coelho	0.0937222
Gujral	0.0933219
Lamberth	0.0931727
Koirala	0.0930628
"Organizing Committee"	0.0930231
EAC	0.0929326
AmCham	0.0928093
"conference committee"	0.0927095
IAAF	0.0926568
SDP	0.0926559
IEA	0.0926401
CCF	0.092555
ICC	0.0925343
HKFA	0.0924798
Masire	0.0922704
NRC	0.0921759
"Supreme Council"	0.0921333
Pd	0.0920366
Marketspan	0.0920216
CNTA	0.0916145
"Federal Trade Commission"	0.0914942
NDF	0.0912665
"Asian Football Confederation"	0.0910713
"England Club"	0.0909491
Ekeus	0.0909197
Kesri	0.0908196
FEC	0.090778
FTC	0.0905831
"British Foreign Office"	0.0905775
BOI	0.0905473
CFA	0.0903616
"General Council"	0.090349
"Palestine National Council"	0.0901751
"Texas Department of Public Safety"	0.0899271
"House Appropriations Committee"	0.0898742
"International Tennis Federation"	0.0895256
AFI	0.0893515
"House Commerce Committee"	0.0893288
"Independent National Electoral Commission"	0.0892222
"solicitor general"	0.0890189
"Senate Banking Committee"	0.0888018
Spyridon	0.0885936
"U.S. Federal Reserve"	0.0884056
"Palestinian Council"	0.0883253
CMC	0.0881931
"Iranian Foreign Ministry"	0.0880796
Advani	0.0877842
NLRB	0.0877313
"Russian Security Council"	0.087654
IPU	0.087645
OIC	0.0875062
Malu	0.0875029
MPR	0.0874171
"Independent Electoral Commission"	0.0873412
Ciampi	0.0872825
PATA	0.0872516
"Senate Commerce Committee"	0.0872402
"Pandeli Majko"	0.0871856
F.A	0.0869184
"Fatos Nano"	0.0867485
"Nuclear Regulatory Commission"	0.0867011
"United National Party"	0.0866921
SFC	0.0865864
"NZ First"	0.0864918
"Congressional Black Caucus"	0.086467
"National Council"	0.0863563
UNP	0.0861165
"Clinton Administration"	0.0860897
"General Committee"	0.0860527
Hormel	0.0859668
Fino	0.0859315
EBRD	0.0858207
TRC	0.0857326
E.U	0.0856317
"Constitutional Court"	0.085582
"International Amateur Athletic Federation"	0.0855766
NASD	0.0855626
"Public Security Ministry"	0.0853559
"Edmund Ho Hau Wah"	0.0852628
ACB	0.0851742
"Board of Elections"	0.0851216
"National League for Democracy"	0.0851041
Arens	0.0848706
Klestil	0.0846229
CBK	0.0844786
"Senate Finance Committee"	0.0842675
"Republican National Committee"	0.0842129
Teresi	0.0840942
"Business Council"	0.0840751
"Senate Appropriations Committee"	0.083957
arbitrator	0.0838467
ICA	0.0837692
Rossotti	0.0837625
SDS	0.0837252
Aventajado	0.0836438
Erez	0.0834033
Kabariti	0.0833645
"planning commission"	0.0833645
"Atomic Energy Commission"	0.0832483
attorney-General	0.083199
))
(cecil (desc 2172.85) (sims
"Cecil Collins"	0.131668
"John Avery"	0.129885
"Edgerrin James"	0.0830537
Lionel	0.0749935
"J.R Redmond"	0.0738709
"James Johnson"	0.0726805
Singson	0.0718264
"Trung Canidate"	0.0700533
"Curtis Enis"	0.0696164
"Jamal Lewis"	0.0693112
Gaston	0.0649803
"Charlie Garner"	0.0643174
Goodman	0.0642784
"Damien Woody"	0.0632998
star-telegram.com	0.0621451
GB	0.0612191
"Dimitrius Underwood"	0.0611067
CAMILLA	0.0607318
"Flozell Adams"	0.0604366
"Tiki Barber"	0.0599306
"Shaun Alexander"	0.0598986
"Michael Wiley"	0.0595392
Stoneman	0.0593927
Harmoko	0.0592554
Timms	0.058905
Skiles	0.0586392
Shriver	0.0582339
Berasategui	0.0582163
MANA	0.057506
Star-Telegram	0.0574168
"Thomas Jones"	0.0573862
Bustamante	0.0573027
"Gary Brown"	0.0569175
"Manny Fernandez"	0.0568226
"Skip Hicks"	0.056708
"Fred Taylor"	0.0565285
"Kenny Thomas"	0.0564721
Lindland	0.0564432
Bidwill	0.0562325
Dumitru	0.0562301
"Jerome Bettis"	0.0559745
mem	0.0553373
"Brenden Morrow"	0.0549658
Felton	0.0549139
Verney	0.0546291
"P.O Box @@@@"	0.0543138
"Byron Hanspard"	0.0542474
"Kevin Faulk"	0.0540688
"Kevin Williams"	0.0536599
Woodson	0.0536179
McKenna	0.0535337
Newhouse	0.0529628
Kenyon	0.0526692
"Robert Edwards"	0.0521942
"Wilton Veras"	0.0519366
DiSarcina	0.0518786
Claude	0.0512757
Stubbs	0.0512414
Finkel	0.051123
Carollo	0.0510665
Rita	0.0509476
"Al Harrington"	0.0508167
"Warrick Dunn"	0.0508023
"Tim Couch"	0.0507913
Wyly	0.050643
Laperriere	0.0504519
"Sedrick Shaw"	0.0503482
"Mike Cloud"	0.0497343
"Norm Maracle"	0.0493003
Sheehan	0.0491127
"Dirk Nowitzki"	0.0489981
Sturm	0.0487025
Kremer	0.0485196
Scharping	0.0484845
Rais	0.0484301
Damm	0.0484156
"Jason Fabini"	0.0482722
Prewitt	0.0480903
"Leon Johnson"	0.0478694
Penske	0.0478316
"Tyronn Lue"	0.0477042
McDonough	0.0475701
"Leon Smith"	0.0474855
Hirst	0.0473723
Rowan	0.0472718
Suarez	0.0471647
"David Palmer"	0.0471248
Schuerholz	0.047073
Haines	0.0470416
"Tony Dorsett"	0.047024
Dennehy	0.0467944
"Chad Morton"	0.0467444
LeClair	0.046694
Nunez	0.0466909
Rosen	0.0466444
STALEY	0.0466398
Aleman	0.0465151
"Ephraim Salaam"	0.0463533
Cortines	0.0463374
Cassell	0.0462743
Glynn	0.0461951
Echols	0.0461678
Andreychuk	0.0461591
Harbaugh	0.0461176
Meissner	0.046106
Advani	0.0460884
"Erubiel Durazo"	0.0460706
Ilie	0.0460667
Geiger	0.0460578
Flanagan	0.0460439
Caddell	0.045996
globe.com	0.045943
"Michael Olowokandi"	0.0457855
Ganassi	0.0456861
Lew	0.0456458
Bruno	0.0456052
Albert	0.0455567
"Karim Abdul-Jabbar"	0.0455093
Jauron	0.0453348
Mendez	0.0453142
"Earl Campbell"	0.0452089
Harmon	0.0451425
O'Malley	0.0451202
Rothschild	0.0450894
Summitt	0.045039
Blackman	0.045028
"Bo Jackson"	0.0450139
Vincent	0.0449886
Azinger	0.0449881
"Champ Bailey"	0.044965
"Torry Holt"	0.0449167
Guerra	0.0446122
Sills	0.0444423
"Todd Husak"	0.0444167
Riady	0.0443439
Gillick	0.0443275
"Matt Harpring"	0.044309
"Keith Brooking"	0.0443038
Raoux	0.0442919
Lowery	0.0442552
Greenberg	0.0442501
Wenger	0.0442447
"Chris Warren"	0.0442352
Bowers	0.0442314
Mott	0.0442095
"Adrian Murrell"	0.0441314
Zogby	0.0440755
Alarcon	0.0440261
"Marcus Allen"	0.0439795
Randall	0.0439639
Plante	0.0439298
Kirkpatrick	0.0438705
Wadsworth	0.0437674
"Toby Bailey"	0.0436902
Clements	0.0436721
"Dan Cloutier"	0.0436555
Aris	0.0435432
Walbeck	0.0434167
McQueen	0.0433986
Hitchens	0.0433882
"Shawn Marion"	0.043363
Sheng	0.0433364
DeFrantz	0.0432638
Bessette	0.0432634
Passarella	0.043248
"DeShaun Foster"	0.0431868
Horry	0.0431738
"stage director"	0.0431572
Hartwig	0.0431427
"Mike Alstott"	0.0431423
Erving	0.0431368
"about @@:@@"	0.0430985
Gustafsson	0.0430957
"Mike Bibby"	0.0430748
Beazley	0.0430195
Gambill	0.0429819
Longley	0.042957
"Sebastian Janikowski"	0.0428911
Dosedel	0.0428727
"Thurman Thomas"	0.042863
"Mike Lamb"	0.0428335
Kennard	0.0428259
"Ebenezer Ekuban"	0.042797
Serna	0.0427741
Marisleysis	0.0426683
Fagan	0.0426626
"Paul Goldstein"	0.0426473
Wilkens	0.042595
Isikoff	0.0425535
Donnan	0.0424937
McMellon	0.042435
Spadea	0.0423756
Dunleavy	0.0423431
Whitehead	0.0422076
Armstead	0.0420901
Difrancesco	0.0420408
Lareau	0.0419603
Zhirinovsky	0.0418879
Kuehne	0.0418338
Lafontaine	0.0418015
))
("Cecil Collins" (desc 2004.21) (sims
"John Avery"	0.328757
"James Johnson"	0.247661
"Thomas Jones"	0.223208
"Lawrence Phillips"	0.22279
"Skip Hicks"	0.205382
"Curtis Enis"	0.198266
"Edgerrin James"	0.179815
"Kevin Faulk"	0.175974
"Michael Wiley"	0.173741
"J.R Redmond"	0.165661
"Trung Canidate"	0.163258
"Shaun Alexander"	0.154882
"Mike Cloud"	0.148956
"Fred Taylor"	0.14738
"Warrick Dunn"	0.14555
"Robert Edwards"	0.145446
"Jamal Lewis"	0.143954
"Tyrone Wheatley"	0.143839
cecil	0.131668
"Byron Hanspard"	0.123423
"Damon Huard"	0.123309
"Leon Smith"	0.122622
"Ricky Williams"	0.122425
"Dimitrius Underwood"	0.117608
"Ron Dayne"	0.117449
"Karim Abdul-Jabbar"	0.115343
"Sam Madison"	0.11428
"Stephen Davis"	0.113905
"Chad Morton"	0.113624
"Terry Allen"	0.113011
"Trace Armstrong"	0.112532
"Walter Payton"	0.111131
"Keith Brown"	0.110881
"Charlie Garner"	0.10942
"Adrian Murrell"	0.107647
"Ricky Watters"	0.107314
"Jerome Bettis"	0.103653
"Keith Brooking"	0.101856
"Stan Collymore"	0.0992462
"Dorsey Levens"	0.0989358
"Zach Thomas"	0.0982128
"Sedrick Shaw"	0.0975027
"Sebastian Janikowski"	0.0969487
"Emmitt Smith"	0.0968211
"Leon Johnson"	0.0966272
"Garrison Hearst"	0.0945095
"Gary Brown"	0.0912097
Gauthe	0.0908066
"Jamal Anderson"	0.0903311
"J.D Drew"	0.090261
"Tiki Barber"	0.0901226
"DeShaun Foster"	0.0891794
"Jim Brown"	0.0887158
"Marshall Faulk"	0.0883004
"Andy Katzenmoyer"	0.0864139
"James Stewart"	0.086301
"Solomon Page"	0.0856966
"Oronde Gadsden"	0.0843408
"Curtis Martin"	0.0841158
"Thurman Thomas"	0.0838624
"Barry Sanders"	0.082956
"Devean George"	0.0829498
"Mario Edwards"	0.0812615
"Sultan McCullough"	0.080671
"Peter Warrick"	0.0797072
"Tony Martin"	0.0796788
"Ray Lewis"	0.0794469
"Pat Burrell"	0.0794185
"Manny Malhotra"	0.0789455
"Eric Dickerson"	0.0789322
Ince	0.0781389
"Marcus Allen"	0.0767815
"Terrell Davis"	0.0766806
"El Hage"	0.0761405
"Michael Olowokandi"	0.0760987
"Robert Smith"	0.076082
"Tony Dorsett"	0.0759388
"Eddie George"	0.0752956
"Michael Booker"	0.0747926
"Bo Jackson"	0.0745103
"Windrell Hayes"	0.074411
"Ebenezer Ekuban"	0.0743981
"Greg Ellis"	0.0735595
Mikhailov	0.0716835
"L.J Shelton"	0.0707359
"Jason Taylor"	0.0701281
"Andre Wadsworth"	0.0701102
"Tim Dwight"	0.0697166
STALEY	0.0690446
"Doak Walker"	0.0689877
"Shawn Marion"	0.0684234
"Lamar Smith"	0.068304
Giacchetto	0.0682236
"Ryan Leaf"	0.0679638
"Michael Myers"	0.0674429
"Patrik Stefan"	0.0674188
"Herschel Walker"	0.0670051
"Paul Pierce"	0.066907
"Ephraim Salaam"	0.0666593
"Brenden Morrow"	0.0663906
Underwood	0.066358
"Earl Campbell"	0.0662163
"Donnie Sadler"	0.0660535
"LaVar Arrington"	0.065794
Nikitin	0.0656148
"Paul Gascoigne"	0.0653768
"Jason Fabini"	0.0651518
"Maturino Resendiz"	0.0643362
"Jim Druckenmiller"	0.0643156
"Kevin Williams"	0.0638566
"Tebucky Jones"	0.0637115
"Mary Slaney"	0.0636681
"Lawrence Taylor"	0.0634738
Shayler	0.0631417
"Chris Warren"	0.0627923
"Jeff Weaver"	0.0627026
"Kenny Thomas"	0.0625051
"Norm Maracle"	0.0624944
"Torry Holt"	0.0624535
"Jason Terry"	0.0617138
Merlino	0.0615578
Toombs	0.061326
"Raef LaFrentz"	0.061323
"Pat Garrity"	0.0612917
"Wally Szczerbiak"	0.0610623
"Jelani McCoy"	0.0608618
"Dwayne Goodrich"	0.0607126
"Ed Yarnall"	0.0606995
"Jonathan Bender"	0.0606081
"Dan Marino"	0.060486
"Charlie Batch"	0.0604744
"Mitch Meluskey"	0.0604555
"Tyronn Lue"	0.0604451
"Rafael Furcal"	0.0602148
"Brad Penny"	0.0600603
"Mike Bibby"	0.0595358
"Manny Fernandez"	0.0593466
"Champ Bailey"	0.0590272
"Wilton Veras"	0.0587439
"Jon Sim"	0.0587034
"Eric Milton"	0.0586668
Haouari	0.0584457
Kaczynski	0.0582768
"Jason Williams"	0.0582416
"Carl Pavano"	0.0579791
"Tom Brady"	0.0578932
"child welfare agency"	0.0576408
Swango	0.0575575
"BRIAN MEADOWS"	0.0573521
"Lamar Odom"	0.0571552
Salemme	0.0571049
"Chris Claiborne"	0.0569589
Asprilla	0.056936
"Vladimir Stepania"	0.0567491
"Damien Woody"	0.0559749
"Tony Simmons"	0.055784
"Flozell Adams"	0.0557749
Kalejs	0.0557423
cornerbacks	0.0556335
"Donovan McNabb"	0.0553761
"Angel Pena"	0.0552878
"David Palmer"	0.0552487
Shipman	0.0552241
"Jumaine Jones"	0.0551011
"Warren Morris"	0.0547628
"Gabe Kapler"	0.0547263
"Corey Maggette"	0.0546225
"Reggie White"	0.0543049
Talebi	0.0541667
"Jamie Arnold"	0.0540194
Yadav	0.0537148
"Chamique Holdsclaw"	0.0536967
"JEVON KEARSE"	0.0536613
Baumhammers	0.053641
"Rae Carruth"	0.0534477
Barrasso	0.0533461
"Erubiel Durazo"	0.0533143
"Danny Farmer"	0.0532815
Milken	0.0531562
"Andre Miller"	0.0530234
"Joe Hamilton"	0.0528854
"Belmont Learning Center"	0.0527978
"Shammond Williams"	0.0524806
"Matt Harpring"	0.0524411
"Mike Alstott"	0.052399
"Ahmed Ressam"	0.0522398
"Akili Smith"	0.0522316
explosiveness	0.0521096
Blackthorne	0.0520858
"wage scale"	0.0514417
Maag	0.0511203
Valenzuela	0.0510966
"Del Toro"	0.0510741
"Derrick Coleman"	0.0507198
Maruyama	0.0507005
"Cary Stayner"	0.0503867
Francois	0.0503555
QB	0.0499798
"Dan Cloutier"	0.049931
"Andre Rison"	0.0498891
))
("Cecil Fielder" (desc 1817.98) (sims
"Troy Glaus"	0.225951
"Tim Salmon"	0.214737
"Todd Greene"	0.209797
"David Ortiz"	0.20408
"Gary DiSarcina"	0.197395
"Dave Hollins"	0.196736
"Orlando Palmeiro"	0.188628
"Garret Anderson"	0.184741
"Jim Edmonds"	0.182344
"Darin Erstad"	0.180812
"Randy Velarde"	0.171605
"John Jaha"	0.164826
"Tony Phillips"	0.164522
"Scott Spiezio"	0.162516
"Jeremy Giambi"	0.161353
"Phil Nevin"	0.155167
"Brad Fullmer"	0.153667
"Derrek Lee"	0.151784
"Matt Walbeck"	0.151686
"Pat Burrell"	0.15102
"Erubiel Durazo"	0.146079
"Eric Owens"	0.144777
"Lee Stevens"	0.144174
"Andy Sheets"	0.144078
"Sean Berry"	0.144024
"Charlie Hayes"	0.143207
"Geoff Jenkins"	0.142545
"Eric Davis"	0.14221
DiSarcina	0.141082
"Matt Stairs"	0.138453
"Kevin Young"	0.136472
"Richie Sexson"	0.13636
"Rico Brogna"	0.134855
"Mike Simms"	0.133493
"Ron Gant"	0.132777
Vidro	0.132518
"Adam Kennedy"	0.132437
"Jason Giambi"	0.13094
"Dean Palmer"	0.130932
"Quinton McCracken"	0.128299
"Bengie Molina"	0.127692
"Ed Sprague"	0.127439
"Randall Simon"	0.12717
"Raul Ibanez"	0.126804
"Craig Paquette"	0.1266
"Mike Sweeney"	0.126593
"Travis Lee"	0.126486
"Jeff Huson"	0.126226
"Jeff Conine"	0.12584
"Mark Johnson"	0.124326
"Fred McGriff"	0.123289
"Mark Loretta"	0.122562
"Daryle Ward"	0.121979
"Omar Olivares"	0.12089
Lankford	0.120419
"Marvin Benard"	0.120171
"Mo Vaughn"	0.117647
"Clay Bellinger"	0.117435
"Reggie Jefferson"	0.117322
"Mike Stanley"	0.117119
"Paul Konerko"	0.117055
"Gregg Jefferies"	0.116284
"Chili Davis"	0.116053
"Mark Kotsay"	0.115309
"Todd Zeile"	0.115076
"Mark Grace"	0.114943
"Tony Clark"	0.11459
"Luis Polonia"	0.114227
"Tino Martinez"	0.114216
Nevin	0.114086
"Paul Molitor"	0.11305
"Edgar Martinez"	0.11301
"Jeff King"	0.112359
"David Segui"	0.112231
"Kevin Stocker"	0.112068
"Ryan Klesko"	0.111092
"Bobby Higginson"	0.110839
"Greg Colbrunn"	0.110047
"Cliff Floyd"	0.109138
"Darren Bragg"	0.109091
"Pat Meares"	0.109051
"Dante Bichette"	0.108857
"Bobby Abreu"	0.108638
"Wally Joyner"	0.108178
"Jeff Bagwell"	0.107943
"Wade Boggs"	0.107552
"Dave Hansen"	0.107181
"Ray Lankford"	0.106848
"Sean Casey"	0.106629
"Wil Cordero"	0.106624
"Bruce Aven"	0.106438
Erstad	0.106301
"Jon Nunnally"	0.105912
"Fernando Vina"	0.105835
"Carlos Lee"	0.104607
"Matt Lawton"	0.104339
"Frank Thomas"	0.10413
"Carlos Delgado"	0.103976
"Willie Greene"	0.103935
"Butch Huskey"	0.103816
"Greg Vaughn"	0.103374
Abreu	0.103143
"John Mabry"	0.103115
"Todd Helton"	0.103005
"Dave Martinez"	0.102689
"John Vander Wal"	0.102611
"Deivi Cruz"	0.10249
"J.T Snow"	0.102459
"Mike Benjamin"	0.101701
"Eric Karros"	0.100724
"Carlos Beltran"	0.100629
"Ruben Rivera"	0.0996613
Renteria	0.0989892
"Rey Sanchez"	0.0988303
"CARLOS HERNANDEZ"	0.0986243
"Troy Percival"	0.0985893
"Will Clark"	0.0974703
"Rondell White"	0.0974039
"Damian Jackson"	0.0968558
"Doug Glanville"	0.0968448
"Matt Franco"	0.0968034
"Jose Offerman"	0.0966979
"Manny Alexander"	0.096656
"Jim Thome"	0.0965446
"Tony Batista"	0.0964964
"Brian Daubach"	0.096211
"Rafael Palmeiro"	0.0961421
Rolen	0.095734
"Ken Hill"	0.0957097
"Ron Coomer"	0.0955364
"Travis Fryman"	0.0951479
Glaus	0.0948519
"Kevin Elster"	0.0944086
"Jack McDowell"	0.0943025
"Rich Aurilia"	0.0942559
"Todd Walker"	0.0942486
"Magglio Ordonez"	0.0941486
"Steve Finley"	0.0940183
Sexson	0.093844
"Joe McEwing"	0.0937062
Lieberthal	0.0934738
"Dave Winfield"	0.0932685
"Damian Miller"	0.0930082
"Tim Raines"	0.0926024
"Tim Bogar"	0.0922634
"Luis Gonzalez"	0.0920742
"Tyler Houston"	0.0919065
"Tony Eusebio"	0.090371
"Brady Anderson"	0.0899943
"Ken Caminiti"	0.0899205
Burnitz	0.0898772
"Bobby Smith"	0.0898575
"Jose Canseco"	0.0898498
"Joe Randa"	0.0892907
"Scott Rolen"	0.0892323
"Chad Curtis"	0.0886405
"Warren Morris"	0.0885913
"Luis Alicea"	0.0885482
"Marty Cordova"	0.0883779
"Barry Larkin"	0.0882994
"Damion Easley"	0.0882492
Ausmus	0.0880981
Olerud	0.0877182
"Jose Hernandez"	0.0876225
"Troy O'Leary"	0.0875339
"John Olerud"	0.0868992
Higginson	0.0867201
"Jason Dickson"	0.0866627
"Neifi Perez"	0.0862134
"Mike Cameron"	0.0860067
Aurilia	0.0858124
"Keith Lockhart"	0.0857144
"Russ Johnson"	0.0855038
"Ray Durham"	0.0850572
"Bill Buckner"	0.0850552
"Joe Carter"	0.084948
Giambi	0.0847726
"Steve Garvey"	0.0847698
Konerko	0.0847375
Daubach	0.0846864
"Karim Garcia"	0.0846202
"Jason McDonald"	0.0845921
"Ben Grieve"	0.0844612
"Jose Guillen"	0.0843894
Karros	0.0841304
Bordick	0.0840754
"Alex Gonzalez"	0.0839377
"Bill Mueller"	0.0838382
"Jose Cruz Jr."	0.0837807
"Scott Hatteberg"	0.0837612
Tejada	0.08376
Bautista	0.0837157
"Henry Rodriguez"	0.0837149
"Brian Hunter"	0.0837043
Counsell	0.0836366
"Delino DeShields"	0.0836205
"Johnny Damon"	0.0834389
"Mickey Morandini"	0.0833765
"Brian Jordan"	0.0833125
"Jim Leyritz"	0.0832423
))
(cedar (desc 12476.4) (sims
pine	0.196002
cypress	0.181817
Oak	0.178833
fir	0.170543
spruce	0.163767
redwood	0.159693
Maple	0.152722
"white pine"	0.149984
Elm	0.149381
eucalyptus	0.148361
beech	0.140561
mahogany	0.127335
poplar	0.121287
"live oak"	0.1202
willow	0.116335
Hemlock	0.112567
"douglas fir"	0.108555
cottonwood	0.10446
hickory	0.101954
Birch	0.101702
Juniper	0.0993053
Conifer	0.0966387
teak	0.0938336
Sycamore	0.0934586
"ponderosa pine"	0.0914454
hardwood	0.0874722
bamboo	0.0872321
dogwood	0.0835848
cactus	0.0814854
shrub	0.0743571
tree	0.0739291
Magnolia	0.0720542
azalea	0.0718889
Plywood	0.0715449
ginkgo	0.0672945
Wisteria	0.0670444
Cherry	0.066265
Mesquite	0.0661738
pecan	0.0653713
Yew	0.0635872
hibiscus	0.0626556
plaster	0.0620727
mangrove	0.0615713
rhododendron	0.0615073
"old growth"	0.0612287
underbrush	0.0588537
marble	0.0585748
timber	0.0584629
Sequoia	0.0583302
shrubbery	0.0571222
oleander	0.0571014
evergreen	0.0562362
fern	0.0557135
walnut	0.0550564
aluminum	0.0544902
eight-foot	0.0543318
Concrete	0.0530497
steel	0.0525515
foliage	0.0514804
brick	0.0497333
tile	0.0497272
vinyl	0.0496859
lime	0.0496641
sandstone	0.0491069
Viburnum	0.0489014
Bowfinger	0.0486915
Linden	0.0486464
Chattahoochee	0.0483587
palm	0.0481148
stucco	0.0478475
Yucca	0.0470698
cardboard	0.0465796
peach	0.0459773
limestone	0.0459174
fiberglass	0.0457439
Aspen	0.0456636
Rosewood	0.0454056
shingle	0.0449419
vegetation	0.044005
roofing	0.0438929
apricot	0.0434115
greenery	0.0432492
ash	0.0432484
undergrowth	0.0430161
grout	0.042805
vine	0.0425341
drywall	0.0424567
clapboard	0.0424273
lumber	0.0423072
wildflower	0.0420925
granite	0.0416846
mango	0.0413537
holly	0.0412184
"stained glass"	0.0409655
tulip	0.0409135
"poison ivy"	0.0406643
"stone wall"	0.0405969
peony	0.0404955
plum	0.0404122
camellia	0.0403014
))
("Cedar Lodge" (desc 2034.01) (sims
"Plaza Hotel"	0.0861354
Waldorf-Astoria	0.0678809
"Walt Disney World"	0.0670825
Savoy	0.0665274
"main office"	0.0664911
Ritz-Carlton	0.0659267
"Holiday Inn"	0.064806
"Chez Panisse"	0.0638288
Spago	0.0625387
tapa	0.0602178
Waldorf	0.0593997
YMCA	0.0584842
"resort hotel"	0.0578218
"World Trade Center"	0.0576771
"Planet Hollywood"	0.0558714
"Seasons Hotel"	0.0543533
oceanfront	0.0538878
"Waffle House"	0.0523957
campsite	0.0519032
VISTEON	0.0518296
Yosemite	0.0517758
ritz	0.0511706
sanatorium	0.0508546
Westin	0.0502667
hooter	0.0494523
"Hyatt Regency"	0.0479794
beachfront	0.0479343
"supper club"	0.0479271
"building site"	0.0477454
"Waldorf-Astoria Hotel"	0.0475881
"Newark International Airport"	0.0473278
smelter	0.0466835
"Rainbow Room"	0.0462586
"Miller Park"	0.0461827
McDonalds	0.0456672
Midtown	0.0454365
Smyrna	0.0445539
"Hofstra University"	0.0445114
"machine shop"	0.0437881
Brasserie	0.0431705
"Kentucky Fried Chicken"	0.0426473
Lorraine	0.0425914
sanitarium	0.0424689
"yacht club"	0.0418935
FPL	0.0416556
"John F. Kennedy Library"	0.0409807
"Ebbets Field"	0.0408731
Rubicon	0.0407999
"Georgia World Congress Center"	0.0407813
"Hyundai Motor Co."	0.0406003
iXL	0.040497
"Miami Arena"	0.0401002
))
("Cedar Rapids" (desc 2942.48) (sims
Dubuque	0.210194
"Iowa City"	0.156155
"Des Moines"	0.152459
Waterloo	0.144667
Nashua	0.128854
Harrisburg	0.113646
Elmira	0.11333
"Santa Ana"	0.106746
Pittsfield	0.105854
Hillsboro	0.105821
Morristown	0.103252
"Mount Pleasant"	0.100505
Spartanburg	0.0992014
"Saratoga Springs"	0.098701
Saginaw	0.0977825
Fairfield	0.0960935
Albuquerque	0.0953791
Roanoke	0.0940182
Manchester	0.0927188
Provo	0.0907532
Ames	0.0906591
Utica	0.0903122
Schenectady	0.0890582
Carlisle	0.0871422
Lynchburg	0.0867061
Knoxville	0.0866975
TRENTON	0.0861292
Akron	0.0860117
Derry	0.0852869
Binghamton	0.0852128
Hattiesburg	0.0848834
Minneapolis	0.0840529
"Baton Rouge"	0.0837132
Spokane	0.0834373
PATNA	0.0830863
Missoula	0.0822626
"Fort Wayne"	0.0817649
Englewood	0.0807258
Kalamazoo	0.080298
Nogales	0.0792608
ASHEVILLE	0.0784698
Shreveport	0.0783797
Youngstown	0.0783108
Springfield	0.0779236
Concord	0.0767085
Lhokseumawe	0.0766268
Larnaca	0.0765426
Boise	0.0762235
Fremont	0.0752517
Omaha	0.0749089
Brownsville	0.0743081
Stansted	0.0732996
Peoria	0.0731676
Yonkers	0.0730671
Honolulu	0.0730249
"Union City"	0.0727584
Modesto	0.0727455
Texarkana	0.0727087
Middletown	0.0723638
"Little Rock"	0.0723465
Lawrenceville	0.0722285
Davenport	0.0722244
Mbarara	0.0721284
Americus	0.0721046
"Colorado Springs"	0.0718481
Guadalajara	0.0717816
Duesseldorf	0.0717083
"Garden City"	0.0712608
Bloomington	0.0709158
Trieste	0.0707948
Wheaton	0.0707865
Bedford	0.0706243
"East Orange"	0.0704003
Tampa	0.0701864
Bellevue	0.0697041
"Montego Bay"	0.0696668
"South Bend"	0.0696559
Greenville	0.0694643
Huntsville	0.0693577
Newton	0.0692956
"White Plains"	0.06928
"La Jolla"	0.0692017
Burlington	0.0691797
Salem	0.0690374
Hackensack	0.0689105
"Crystal City"	0.0687433
Bangor	0.0685767
Lakeland	0.0685688
MINEOLA	0.0683462
Portsmouth	0.0680914
Wilmington	0.0680743
Columbus	0.0677665
Merida	0.0671982
"El Segundo"	0.0671746
Sunnyvale	0.0669521
"Port St. Lucie"	0.0669026
Aachen	0.0668994
Uniondale	0.0667155
anchorage	0.066597
Paterson	0.0665431
"San Sebastian"	0.0664359
Topeka	0.0661506
Bridgewater	0.0661253
Carthage	0.0660175
Albany	0.0660123
Covington	0.0655106
Newark	0.0655012
"Cherry Hill"	0.0652058
Exeter	0.0648716
"Miami Valley"	0.0645494
Salisbury	0.0644752
Dearborn	0.064235
Plattsburgh	0.0640863
"Sioux Falls"	0.0639687
Gulu	0.0639633
Jamestown	0.0637358
Ndola	0.0636636
Brockton	0.0635959
Montclair	0.0632042
Beaumont	0.0627329
Monterrey	0.0626761
"Long Beach"	0.0626129
"Virginia Beach"	0.0625336
Syracuse	0.0625095
Port-au-Prince	0.0622203
flint	0.0620624
Norwalk	0.0618618
Rochester	0.0618104
bethel	0.0616584
Camden	0.0616191
Yerevan	0.0615424
Lufkin	0.061505
Christchurch	0.0614846
Pisa	0.061453
Naples	0.0613537
CARACAS	0.0613271
"Round Rock"	0.0611814
Herndon	0.0611253
Olathe	0.0609927
"East St. Louis"	0.0609564
Olympia	0.0609489
Denton	0.0609255
"Hilton Head"	0.0608573
Alexandria	0.0607913
"Port Moresby"	0.0606028
Wichita	0.0603024
"Grand Rapids"	0.0602374
Woburn	0.0601373
Macon	0.0600955
Ridgewood	0.059998
Dayton	0.0599861
"Fort Lauderdale"	0.0599211
Watertown	0.0597082
Greensboro	0.0594137
"New Haven"	0.0593673
Nago	0.0591982
Longview	0.0590218
"Redwood City"	0.0589736
Greenfield	0.0589434
Richmond	0.0588841
Eugene	0.0587925
Somerville	0.0587614
Naperville	0.0587431
Westport	0.0587283
"Guatemala City"	0.0586431
Chattanooga	0.0586181
Aberdeen	0.0584905
Charlottesville	0.058404
Gdansk	0.058349
Dublin	0.0583408
Stamford	0.0582116
Juneau	0.0580344
Hartford	0.0580189
Harlingen	0.0577966
Milford	0.05775
Chatham	0.0576807
Augusta	0.0574054
Eilat	0.0573624
"St. Paul"	0.0572659
Reykjavik	0.0572377
Raleigh	0.057036
"Quebec City"	0.0569465
"Boynton Beach"	0.0569186
Taloqan	0.0568814
"San Bernardino"	0.0567758
"Overland Park"	0.0565046
Renton	0.0564267
Murmansk	0.0562369
Krakow	0.0561865
Westfield	0.0561616
midland	0.0560656
Leningrad	0.0560075
Carlsbad	0.0559333
Smyrna	0.055867
Glasgow	0.055854
"San Salvador"	0.0557461
Charleston	0.0556656
"West Orange"	0.0555534
Ithaca	0.0554872
Yekaterinburg	0.0553233
))
(Cedeno (desc 4445.79) (sims
Alfonzo	0.200668
Rolen	0.19597
Agbayani	0.192614
Cirillo	0.190735
"Roger Cedeno"	0.180469
Dunston	0.179244
Womack	0.177796
Baerga	0.174982
Biggio	0.162947
Olerud	0.161248
Mora	0.159309
Lankford	0.15812
Gilkey	0.157879
Lieberthal	0.153788
Spiers	0.152075
Lofton	0.151284
Higginson	0.151082
Alicea	0.150745
Velarde	0.150222
Beltran	0.150129
DeShields	0.148628
"Mark Loretta"	0.148287
Renteria	0.146692
Ordonez	0.144852
Giambi	0.144555
Valentin	0.144193
Caminiti	0.143836
Abreu	0.142556
Surhoff	0.140411
Zeile	0.140226
Bichette	0.139919
Klesko	0.139879
"Eric Owens"	0.138684
"Marvin Benard"	0.138642
Bagwell	0.138585
Palmeiro	0.13823
Erstad	0.138027
"Jon Nunnally"	0.137568
Grudzielanek	0.137501
Bordick	0.137311
Canseco	0.137218
Ledee	0.137105
Segui	0.136088
Delgado	0.136058
"Edgardo Alfonzo"	0.135902
McRae	0.135777
"Bill Spiers"	0.135595
Nevin	0.135491
Vidro	0.135461
Frye	0.135435
Lawton	0.135425
Stinnett	0.135116
Fryman	0.133679
Glaus	0.133587
"Ricky Gutierrez"	0.133472
Catalanotto	0.1334
"Matt Lawton"	0.132919
"Tom Goodwin"	0.132835
"Mark Kotsay"	0.132689
Bonilla	0.1317
"Luis Castillo"	0.131514
Glanville	0.131447
McLemore	0.131253
Beltre	0.131215
"Damian Jackson"	0.130462
"Tony Womack"	0.12771
Cabrera	0.12719
"Bill Mueller"	0.126773
Huskey	0.126601
Alomar	0.126493
"Melvin Mora"	0.126475
"Darryl Hamilton"	0.126162
Brosius	0.126053
"Jose Valentin"	0.125999
"Devon White"	0.125814
"Bobby Higginson"	0.12543
"Joe McEwing"	0.125146
"Darren Lewis"	0.125124
"Bobby Abreu"	0.125074
Hollandsworth	0.124619
"Jeff Bagwell"	0.124608
"Matt Franco"	0.124587
Hundley	0.124236
Mondesi	0.123898
"Jay Bell"	0.123758
"Tim Bogar"	0.123556
Goodwin	0.122382
Furcal	0.121787
Alou	0.121588
Ripken	0.121396
Knoblauch	0.121261
"Chris Gomez"	0.12125
"Lenny Harris"	0.121056
Hidalgo	0.120555
Karros	0.120152
Castilla	0.120027
"Kevin Young"	0.119948
"Keith Lockhart"	0.119657
Varitek	0.119513
"John Valentin"	0.11948
"Travis Lee"	0.119299
"Rickey Henderson"	0.119037
Burks	0.118672
"Brian McRae"	0.118434
Veras	0.118425
"Gerald Williams"	0.118088
"Paul Konerko"	0.118047
Randa	0.117759
"Pat Meares"	0.11732
Konerko	0.116997
grieve	0.116932
"John Vander Wal"	0.116813
"Omar Vizquel"	0.116072
Vizquel	0.115994
Cora	0.115684
"Derek Bell"	0.115555
"Damian Miller"	0.11529
Fullmer	0.115082
Helton	0.115081
Boone	0.114886
"Walt Weiss"	0.114741
Merloni	0.11428
"Deivi Cruz"	0.11428
"Derrek Lee"	0.114211
Offerman	0.114167
"Dan Wilson"	0.114036
"Johnny Damon"	0.113964
"Dante Bichette"	0.113914
Counsell	0.113823
"Tony Batista"	0.113645
"Geoff Jenkins"	0.113627
"Darin Erstad"	0.113463
"Bubba Trammell"	0.112774
Sexson	0.112736
"Troy Glaus"	0.112576
"Butch Huskey"	0.112373
Burnitz	0.112295
"Eddie Taubensee"	0.111834
"Craig Biggio"	0.111756
Batista	0.111629
Elster	0.111607
"Jose Guillen"	0.111576
"Todd Hundley"	0.111575
"Herbert Perry"	0.111452
"Miguel Cairo"	0.111408
"Richard Hidalgo"	0.111254
Larkin	0.111229
Galarraga	0.111178
Piazza	0.111149
Guillen	0.111034
"Jeff Kent"	0.111006
Garciaparra	0.111002
"Robin Ventura"	0.110778
"Orlando Palmeiro"	0.110391
"Ron Gant"	0.110333
"Barry Larkin"	0.10998
"Enrique Wilson"	0.109857
"Shawon Dunston"	0.109317
Aurilia	0.109312
"David Dellucci"	0.109262
Thome	0.109104
Jeter	0.108958
Bautista	0.10879
Leyritz	0.108629
"Mike Bordick"	0.108478
"Andy Fox"	0.10844
"Mike Sweeney"	0.108343
Tejada	0.108232
Hatteberg	0.108059
"Fernando Vina"	0.107836
"Dave Martinez"	0.107483
"Vladimir Guerrero"	0.107449
"Rich Becker"	0.107262
Henderson	0.107111
"Jay Payton"	0.107083
"Rich Aurilia"	0.106981
"Tony Eusebio"	0.106948
"Matt Stairs"	0.106724
"Wally Joyner"	0.106587
"Garret Anderson"	0.106563
"Stan Javier"	0.106432
"Ozzie Guillen"	0.106045
"Eric Karros"	0.105944
"Ron Coomer"	0.105849
"Todd Walker"	0.105785
"Neifi Perez"	0.105528
"Adam Kennedy"	0.105522
"Brad Ausmus"	0.105435
"Pokey Reese"	0.105338
"Manny Alexander"	0.105137
"Mike Cameron"	0.105095
"Scott Spiezio"	0.105074
"Kevin Stocker"	0.104961
"David Ortiz"	0.104901
"Mickey Morandini"	0.104892
"Tim Salmon"	0.104875
"Raul Mondesi"	0.104686
"Sean Casey"	0.104439
Brogna	0.104072
"Edgar Renteria"	0.10353
"Jose Hernandez"	0.103387
"Dave Hansen"	0.103009
Payton	0.102676
"Carlos Beltran"	0.102547
Lugo	0.102457
Gwynn	0.102374
"Chipper Jones"	0.102093
"Nomar Garciaparra"	0.102075
Daubach	0.102074
Javier	0.102065
Greer	0.102049
"Todd Zeile"	0.102
"Jose Offerman"	0.101937
"Alex Rodriguez"	0.101867
Meares	0.10169
Dellucci	0.101472
Cordero	0.101373
Vina	0.101169
Walbeck	0.101051
"Jeffrey Hammonds"	0.10102
"Todd Helton"	0.100739
"Eric Young"	0.100737
"Lance Berkman"	0.100679
Buhner	0.100607
"Chad Curtis"	0.100445
"Manny Ramirez"	0.100221
"Marquis Grissom"	0.100186
Gant	0.100035
))
(Cedric (desc 1180.35) (sims
Dragomir	0.0879098
Haarhuis	0.0826702
Sidot	0.0771183
Kremer	0.0757075
Tarango	0.0750218
Shenhua	0.0746808
Likhovtseva	0.0733983
Dosedel	0.0721857
Lareau	0.0695465
Jonsson	0.068343
Andrei	0.0673215
Raoux	0.0663162
Lecce	0.0637465
Santoro	0.0632792
Berasategui	0.0611404
Olivier	0.0611016
Serna	0.0609309
Ilie	0.0602851
JONAS	0.0597219
Stolle	0.0581263
Farina	0.0567779
Goran	0.0565602
Edberg	0.0560787
"Beijing Guo"	0.0560155
Torino	0.0558586
RSA	0.0552836
Elena	0.0544631
Bruguera	0.0543877
Meligeni	0.0538012
"American Chanda Rubin"	0.0529577
"Rita Grande"	0.0525819
MANA	0.0509412
Gustafsson	0.0504484
Nana	0.0499392
Steffi	0.0498624
"Paul Goldstein"	0.0498478
Jana	0.0496419
Gimelstob	0.0495244
Richey	0.0490087
Testud	0.0485155
Stefan	0.0479606
Highness	0.0475718
"American Michael Chang"	0.0474916
Empoli	0.0472802
Cagliari	0.0469149
"Derby County"	0.0466354
Pavel	0.0465259
Martina	0.04652
"John MacLean"	0.0464206
Rostock	0.0463975
Salernitana	0.0463868
Gwen	0.0463455
Independiente	0.0462009
Aris	0.0453845
Suarez	0.045355
Irene	0.0450926
NED	0.0448944
Ulihrach	0.0447853
Natasha	0.0447431
"San Lorenzo"	0.0443498
Dundee	0.0443323
Rhee	0.0441769
Brandi	0.0441734
Bastia	0.0441639
Gerald	0.0440366
Rincon	0.0439959
Lindland	0.0437816
Olga	0.0437144
Byron	0.0436174
Stoltenberg	0.0435941
Dorgan	0.0434573
PAOK	0.0433944
Duisburg	0.0433802
Arazi	0.0433205
"Gus Frerotte"	0.043187
Sylvia	0.0430179
Rongen	0.0429664
Raja	0.0428909
Osmond	0.0428678
Schett	0.042768
Chicagoans	0.0421185
Hainiu	0.0420123
Anastasia	0.0417684
"Paris St Germain"	0.0414992
"Joannette Kruger"	0.0414823
Utes	0.0414206
kor	0.0414065
Evander	0.0409046
Guerra	0.0408436
Schnyder	0.0408423
Wolfsburg	0.0406589
"silent movie"	0.0406167
Dokic	0.0402373
Kimberly	0.0401155
Janet	0.0400561
Alonso	0.0400506
))
("Cedric Ceballos" (desc 3312.22) (sims
"Hubert Davis"	0.3348
"Gary Trent"	0.317435
"Shawn Bradley"	0.295836
"Michael Finley"	0.283142
"Steve Nash"	0.273532
"Chris Anstey"	0.25995
"Samaki Walker"	0.258208
"Dirk Nowitzki"	0.255786
"Alan Henderson"	0.190049
"Sean Rooks"	0.17943
"A.C. Green"	0.17791
"Kurt Thomas"	0.176741
"Corliss Williamson"	0.170898
"Jarvis Turner"	0.162573
"Maurice Taylor"	0.161294
"Lamond Murray"	0.16007
"Tyrone Nesby"	0.156807
"Walt Williams"	0.155375
"Robert Pack"	0.154587
"Derrick Coleman"	0.152966
"George McCloud"	0.148611
"Raef LaFrentz"	0.148307
"Ruben Patterson"	0.146664
"John Wallace"	0.146568
"Donyell Marshall"	0.146312
"Richard Jefferson"	0.145459
"Grant Long"	0.144545
"Jamal Mashburn"	0.137479
"Bryon Russell"	0.137185
"Dennis Scott"	0.134066
"Brian Grant"	0.132055
"Joe Smith"	0.13144
"Gabe Muoneke"	0.129398
"Otis Thorpe"	0.128551
"Shawn Marion"	0.128515
"Vlade Divac"	0.128499
"Keith Van Horn"	0.128366
"Danny Fortson"	0.127894
"Mike Miller"	0.126179
"Chris Crawford"	0.125661
"Leon Smith"	0.125087
"Austin Croshere"	0.124404
"Robert Horry"	0.123204
"Theo Ratliff"	0.120907
"Clifford Robinson"	0.120765
"Ante Razov"	0.120384
"JaRon Rush"	0.120314
"Jermaine O'Neal"	0.12016
"Chris Porter"	0.119613
"Morris Peterson"	0.118315
"SCOTT BURRELL"	0.117995
"Chris Carrawell"	0.117801
"Rasheed Wallace"	0.117727
Nowitzki	0.117632
"Brent Barry"	0.117414
"Kendall Gill"	0.117095
"Kevin Freeman"	0.116918
"Kenyon Martin"	0.115282
"Tom Gugliotta"	0.11512
"Clarence Weatherspoon"	0.115114
"Mark Bryant"	0.11472
"Theo Fleury"	0.114301
"Billy Owens"	0.114044
"Sherman Douglas"	0.113673
"Antonio McDyess"	0.113545
"Kris Clack"	0.111011
"Charles Oakley"	0.110889
"P.J Brown"	0.110553
"Ron Artest"	0.110438
"Rodney Rogers"	0.108353
"J.R Reid"	0.108179
"Stern John"	0.107938
"Shawn Kemp"	0.106795
"Mark Madsen"	0.106556
"Tamika Catchings"	0.106408
"Jalen Rose"	0.106346
"Jumaine Jones"	0.106139
"Dale Davis"	0.105995
"Chris Webber"	0.105843
"Sam Clancy"	0.105669
"Alexei Kovalev"	0.105201
"Michael Wright"	0.10485
"Vin Baker"	0.103971
"Chris Gatling"	0.103833
"Malik Sealy"	0.103713
"Othella Harrington"	0.103647
"Eric Piatkowski"	0.103425
"Miroslav Satan"	0.103287
"Eric Wynalda"	0.103125
Ceballos	0.102872
"Tim Thomas"	0.102825
"Glen Rice"	0.10275
"Sun Wen"	0.102749
"Rick Fox"	0.101944
"Chris Mills"	0.101821
"Jeff Friesen"	0.101803
"DeLisha Milton"	0.101319
"Jim Jackson"	0.100816
"Marcus Fizer"	0.100429
"Brian Shaw"	0.1004
"Dickey Simpkins"	0.100361
"Danny Manning"	0.0999985
"Detlef Schrempf"	0.0997839
"Robert Traylor"	0.0992917
"Tracy McGrady"	0.0989866
"CORIE BLOUNT"	0.09892
"Shandon Anderson"	0.0988161
"Doug Christie"	0.0981234
"Derek Fisher"	0.0975603
"Sam Cassell"	0.0970903
"Arvydas Sabonis"	0.0962058
"Lorenzen Wright"	0.0961198
"Anson Carter"	0.0960359
"Christian Laettner"	0.0958161
"Ron Mercer"	0.0958019
"Roy Lassiter"	0.0954367
"Jason Allison"	0.0954228
"Dave Andreychuk"	0.0952234
"Anthony Mason"	0.0951908
"Shane Battier"	0.0950608
"Dale Ellis"	0.0943138
"Antonio Davis"	0.0941904
"Shane Doan"	0.0938485
"Terrell Brandon"	0.093727
"Alen Boksic"	0.0935817
"Malik Rose"	0.0930763
"Nick Anderson"	0.0922385
"Paul Pierce"	0.0919726
"Brian Skinner"	0.0919234
"Terry Porter"	0.0918501
"Sean Farnham"	0.0914883
"Brian Scalabrine"	0.0913393
"Etan Thomas"	0.0908567
"Damon Stoudamire"	0.0904068
"Jeff Hornacek"	0.0902897
"Matt Harpring"	0.0901755
"Antawn Jamison"	0.0897857
"Jamie Feick"	0.0897134
"Richard Hamilton"	0.0892779
"Grant Hill"	0.0892689
"Marcus Camby"	0.0890642
"Aaron Williams"	0.0887472
"Scottie Pippen"	0.0880133
"Brian McBride"	0.0878873
"Sean Elliott"	0.0876658
"Ziggy Palffy"	0.0874529
"Blake Sloan"	0.0867974
"Glenn Robinson"	0.0867389
"Jaren Jackson"	0.0864808
"Matt Bullard"	0.0857439
"Patrik Elias"	0.0854571
"Nick Van Exel"	0.0849975
"Rick Tocchet"	0.0849129
"Kenny Thomas"	0.0849116
"Pat Verbeek"	0.0848912
"Scot Pollard"	0.0848496
"Bill Guerin"	0.0842281
"Peter Forsberg"	0.0841861
"Wendel Clark"	0.0838919
"Juwan Howard"	0.0831004
"Rashard Lewis"	0.082933
"Mike Keane"	0.0827077
"Raul Diaz Arce"	0.0826084
"Jaromir Jagr"	0.0825411
"Jerome Moiso"	0.0825022
"Derek Anderson"	0.0824974
"Jason Kapono"	0.0824305
"Predrag Mijatovic"	0.0819398
"Ron Harper"	0.0817751
"Elden Campbell"	0.081768
"Jason Kidd"	0.0815452
"Ted Donato"	0.0814275
"Bobby Phills"	0.0809948
"Devean George"	0.0809073
"Geoff Sanderson"	0.0808044
"Chris Drury"	0.0802699
"Eric Murdock"	0.0801037
"Darrick Martin"	0.0800901
"Greg Adams"	0.080007
"Sheryl Swoopes"	0.0799405
Samuelsson	0.0798922
"Corey Maggette"	0.0796354
"Pat Garrity"	0.0795107
"Charles Barkley"	0.0794702
"Cuttino Mobley"	0.0791593
"Grant Marshall"	0.0789267
"Horace Grant"	0.0781231
"Shareef Abdur-Rahim"	0.0781225
"Brendan Shanahan"	0.0778704
"Karl Malone"	0.0778701
"Chamique Holdsclaw"	0.0774203
"Joe Thornton"	0.0768175
"Tony Massenburg"	0.0767382
"Larry Johnson"	0.0766946
"Kelvin Cato"	0.0765257
"Vince Carter"	0.0765083
"Joe Juneau"	0.0764521
"Hu Weidong"	0.076402
"Keith Tkachuk"	0.0761674
"Ian Wright"	0.0760037
))
("Cedric Pioline" (desc 10008.9) (sims
"Thomas Enqvist"	0.341527
"Gustavo Kuerten"	0.335905
"Goran Ivanisevic"	0.331903
"Greg Rusedski"	0.329977
"Nathalie Tauziat"	0.327883
"Carlos Moya"	0.321408
"Tim Henman"	0.320562
"Yevgeny Kafelnikov"	0.319436
"Thomas Johansson"	0.318812
"Mark Philippoussis"	0.318126
"Sandrine Testud"	0.31356
"Richard Krajicek"	0.311028
"Alex Corretja"	0.310363
"Sergi Bruguera"	0.302567
"Andrei Medvedev"	0.30224
"Anke Huber"	0.299831
"Magnus Gustafsson"	0.298811
"Jonas Bjorkman"	0.298029
"Wayne Ferreira"	0.295813
"Mary Pierce"	0.294604
"Karol Kucera"	0.294015
"Todd Martin"	0.292519
"Julie Halard-Decugis"	0.291583
"Magnus Norman"	0.290027
"Patrick Rafter"	0.289939
"Nathalie Dechy"	0.288518
"Amelie Mauresmo"	0.2878
"Albert Costa"	0.287079
"Alberto Berasategui"	0.285978
"Guillaume Raoux"	0.285547
"Sebastien Grosjean"	0.283962
"Felix Mantilla"	0.283207
"Nicolas Escude"	0.28315
"Fabrice Santoro"	0.282911
"Jerome Golmard"	0.282602
"Nicolas Kiefer"	0.281851
"Dominik Hrbaty"	0.278172
"Arnaud Clement"	0.277708
"Marcelo Rios"	0.274662
"Marat Safin"	0.272909
"Michael Chang"	0.271217
"Amanda Coetzer"	0.268128
"Tommy Haas"	0.266579
"Arnaud Boetsch"	0.26599
"Jim Courier"	0.264851
"Iva Majoli"	0.26476
"Magnus Larsson"	0.264652
"Michael Stich"	0.263258
"Sarah Pitkowski"	0.261104
"Thomas Muster"	0.259747
"Dominique Van Roost"	0.259306
"Hicham Arazi"	0.25829
"Conchita Martinez"	0.257514
"Irina Spirlea"	0.256853
"Marc Rosset"	0.255814
"Scott Draper"	0.2544
"Ai Sugiyama"	0.253859
"Pat Rafter"	0.252341
"Andre Agassi"	0.251891
"Patty Schnyder"	0.250496
"Arantxa Sanchez-Vicario"	0.250484
"Todd Woodbridge"	0.250449
"Petr Korda"	0.250278
"Arantxa Sanchez Vicario"	0.248929
"Francisco Clavet"	0.247949
"Natasha Zvereva"	0.247291
"Arnaud Di Pasquale"	0.247218
"MaliVai Washington"	0.244054
"Lindsay Davenport"	0.242352
"Elena Likhovtseva"	0.238589
"Jason Stoltenberg"	0.238456
"Carlos Costa"	0.237194
"Vincent Spadea"	0.237008
"Andrea Gaudenzi"	0.234715
"Monica Seles"	0.232786
"American Todd Martin"	0.232449
"Barbara Schett"	0.231238
"Byron Black"	0.229647
"Mariano Puerta"	0.228994
"Albert Portas"	0.227321
"Guy Forget"	0.226688
"David Prinosil"	0.226392
Siemerink	0.226238
"Nicolas Lapentti"	0.225099
"Boris Becker"	0.223203
"Silvia Farina"	0.223044
"Mark Woodforde"	0.222848
"Hernan Gumy"	0.222012
"Kenneth Carlsen"	0.221803
"Anne-Gaelle Sidot"	0.221339
"Venus Williams"	0.219067
"Sjeng Schalken"	0.218779
"Richard Fromberg"	0.218087
"American Chanda Rubin"	0.217102
"Jana Novotna"	0.216853
"Tamarine Tanasugarn"	0.21666
"Ruxandra Dragomir"	0.215578
"Mariano Zabaleta"	0.213886
"Fernando Meligeni"	0.213728
"Filip Dewulf"	0.213185
"Roger Federer"	0.21295
"Leander Paes"	0.21211
"Russian Yevgeny Kafelnikov"	0.212031
"Chris Woodruff"	0.211769
"Magdalena Maleeva"	0.210746
"Chanda Rubin"	0.210556
"Adrian Voinea"	0.209247
"Paul Haarhuis"	0.208182
"Galo Blanco"	0.20818
"Lisa Raymond"	0.207779
"Martina Hingis"	0.207111
"Serena Williams"	0.204654
"South African Amanda Coetzer"	0.204597
"Gianluca Pozzi"	0.203292
"Yayuk Basuki"	0.203076
"Steffi Graf"	0.202852
"Pete Sampras"	0.201597
"Naoko Sawamatsu"	0.200358
"Franco Squillari"	0.199518
"Magui Serna"	0.199487
"Daniel Nestor"	0.196655
Rusedski	0.196038
"Judith Wiesner"	0.195339
"Sabine Appelmans"	0.195277
Kafelnikov	0.194794
"Jeff Tarango"	0.194233
"Alberto Costa"	0.191924
"Ramon Delgado"	0.191872
"Renzo Furlan"	0.191819
"Marcelo Filippini"	0.190872
"Lleyton Hewitt"	0.190686
"Karim Alami"	0.190486
Pioline	0.190075
"Anna Kournikova"	0.189105
"Anne Kremer"	0.18821
"Jan-Michael Gambill"	0.188175
"Australian Mark Philippoussis"	0.186414
"Brett Steven"	0.184367
"Wayne Black"	0.183854
"Brenda Schultz-McCarthy"	0.183822
"Younes El Aynaoui"	0.183034
"Mikael Tillstrom"	0.182732
"Julian Alonso"	0.18264
"Barbara Paulus"	0.182589
"Alexandra Fusai"	0.18244
"Kimiko Date"	0.182091
"Javier Sanchez"	0.182005
"American Lindsay Davenport"	0.181662
"Davide Sanguinetti"	0.181482
"Xavier Malisse"	0.180814
"Amy Frazier"	0.180409
"Rainer Schuttler"	0.179016
"Mark Knowles"	0.178806
"Andrei Pavel"	0.178517
"Slava Dosedel"	0.178379
"Florencia Labat"	0.176704
"Christian Ruud"	0.176471
"Mary Joe Fernandez"	0.175804
"Joannette Kruger"	0.175234
"Sargis Sargsian"	0.175046
Henman	0.174566
Corretja	0.174079
"Andrew Ilie"	0.173689
Kuerten	0.173227
"Juan Carlos Ferrero"	0.172529
"Elena Dementieva"	0.172213
"Alex O'Brien"	0.171533
"Richey Reneberg"	0.171523
"Daniel Vacek"	0.170248
Berasategui	0.168592
"American Andre Agassi"	0.168508
"Tatiana Panova"	0.167363
"Juan Antonio Marin"	0.166762
Sanchez-Vicario	0.166607
Moya	0.166404
"Miriam Oremans"	0.166108
"Justin Gimelstob"	0.165553
"Kimberly Po"	0.16238
Enqvist	0.161203
"Nicklas Kulti"	0.160828
"Stefan Edberg"	0.160562
"American Michael Chang"	0.159916
Agassi	0.159197
"Mirjana Lucic"	0.158728
Dragomir	0.157488
"Rita Grande"	0.157321
"Karina Habsudova"	0.157198
"Andres Gomez"	0.157189
"Jennifer Capriati"	0.156952
"Bohdan Ulihrach"	0.156597
Tauziat	0.156216
"Vince Spadea"	0.155659
"Andreas Vinciguerra"	0.154303
Philippoussis	0.152699
"Nicole Pratt"	0.151673
Kucera	0.151437
Ivanisevic	0.151316
"Martin Damm"	0.150847
"Neville Godwin"	0.150591
"Grant Stafford"	0.1505
"Li Fang"	0.149469
Stoltenberg	0.148618
Mauresmo	0.148534
rios	0.148412
Coetzer	0.147502
"Cara Black"	0.147254
"Gong Zhichao"	0.144986
"Marcos Ondruska"	0.144684
Novotna	0.143821
"Sebastien Lareau"	0.142999
"Jelena Dokic"	0.142824
Kiefer	0.142807
Testud	0.142729
Seles	0.142709
"Olga Barabanschikova"	0.142504
Kroslak	0.141155
Mantilla	0.140982
Bjorkman	0.140431
"Asa Carlsson"	0.139892
Majoli	0.139482
Clavet	0.136566
"Tara Snyder"	0.136221
Krajicek	0.136142
"Michael Tebbutt"	0.135869
"Jean-Philippe Gatien"	0.13581
"Dai Yun"	0.135787
"Peter Nicol"	0.134702
"Sanchez Vicario"	0.134671
"Kveta Hrdlickova"	0.134396
Gustafsson	0.134377
"Jonathan Stark"	0.134067
"Olivier Delaitre"	0.133828
"John Van Lottum"	0.133465
Korda	0.133329
Hingis	0.133077
Halard-Decugis	0.131496
"Corina Morariu"	0.131457
"Henrieta Nagyova"	0.131402
"Peter Gade Christensen"	0.131002
"Jiri Novak"	0.13093
Bruguera	0.130883
"Mahesh Bhupathi"	0.129161
"Paola Suarez"	0.128512
"Steve Campbell"	0.128245
Ulihrach	0.127582
Swardt	0.12565
"Liu Guoliang"	0.125075
"Rodney Eyles"	0.122431
"Kim Clijsters"	0.122189
Schett	0.121683
Kournikova	0.121154
Hrbaty	0.120688
Hendrawan	0.120661
"Alexandra Stevenson"	0.120552
Sampras	0.120494
"Wang Nan"	0.119712
"Catalina Cristea"	0.119134
Capriati	0.118908
"Lori McNeil"	0.118447
"Sandon Stolle"	0.117848
"Jan-Ove Waldner"	0.117472
"Wang Liqin"	0.116954
Sugiyama	0.116885
Davenport	0.116791
"Briton Greg Rusedski"	0.116731
"American Pete Sampras"	0.116695
"Ye Zhaoying"	0.116265
Meligeni	0.115913
"Kristie Boogert"	0.11379
Dosedel	0.113543
"Olympique Marseille"	0.113109
Safin	0.112673
"Els Callens"	0.112554
"Van Roost"	0.112353
Huber	0.112291
"Barbara Schwartz"	0.112156
"Barbara Rittner"	0.112098
"Heryanto Arbi"	0.112093
Schnyder	0.11169
"Zhang Ning"	0.111195
Rafter	0.110678
"Vladimir Samsonov"	0.109945
"Peter Rasmussen"	0.109906
"Dong Jiong"	0.109772
"Jacco Eltingh"	0.109055
Ferreira	0.108801
"Wayne Arthurs"	0.108079
Likhovtseva	0.108052
Schalken	0.108015
Pierce	0.107689
"Kong Linghui"	0.106726
"Paul Goldstein"	0.106618
"Xia Xuanze"	0.106413
Serena	0.106058
Zvereva	0.105692
"Fung Permadi"	0.105571
Chang	0.104905
"Mia Audina"	0.104678
Spadea	0.104025
"Christine Arron"	0.103377
"Max Mirnyi"	0.102397
"Camilla Martin"	0.10226
"Ma Lin"	0.102086
"Taufik Hidayat"	0.101651
"Laurent Jalabert"	0.10161
"Joko Suprianto"	0.101475
"Gong Ruina"	0.100766
Gambill	0.100271
))
(ceiling (desc 73988.4) (sims
wall	0.181311
roof	0.162134
floor	0.150727
window	0.114274
limit	0.114102
door	0.110433
fireplace	0.10474
tile	0.104211
facade	0.104011
skylight	0.100602
cap	0.0985596
paneling	0.0983182
chandelier	0.0976281
balcony	0.0969299
quota	0.0931356
beam	0.0858862
Dome	0.0846325
surface	0.0829072
furniture	0.0797611
restriction	0.0791587
deck	0.0791315
molding	0.0778535
flooring	0.0770229
frame	0.0770139
mural	0.0768767
bathroom	0.0766195
staircase	0.0765281
tree	0.0763756
siding	0.0759327
room	0.0747514
carpet	0.0737645
Tower	0.0735948
glass	0.0735575
fence	0.073375
building	0.0729232
porch	0.0729146
windshield	0.072895
exterior	0.0726668
mirror	0.0718838
terrace	0.0718562
shelf	0.0713498
structure	0.0712788
chimney	0.0701914
bedroom	0.0700165
chair	0.0697995
doorway	0.0694565
Canopy	0.0694432
woodwork	0.0684511
arch	0.0684098
table	0.0683515
wallpaper	0.0675634
screen	0.0675297
hallway	0.0675118
kitchen	0.0674415
atrium	0.067307
space	0.0667373
requirement	0.0664388
Rafter	0.0659622
tariff	0.0656655
lid	0.0655673
bed	0.0654353
barrier	0.0650918
toilet	0.0649944
level	0.0646956
interior	0.06426
paint	0.0638815
chest	0.0638307
walkway	0.063607
"stone wall"	0.0634884
desk	0.0634555
Sky	0.0632286
carpeting	0.0631988
lamp	0.0627997
curtain	0.0627108
basement	0.0624989
brick	0.0623733
pipe	0.0622255
decor	0.0620895
plaster	0.062015
statue	0.0616819
bar	0.0616049
entrance	0.0615191
sofa	0.0614397
Limitation	0.0612621
pillar	0.0611621
closet	0.0611545
"dining room"	0.0610078
tax	0.0609535
top	0.060603
rate	0.0605837
target	0.0603762
tub	0.0601605
rug	0.0600693
shutter	0.0593792
slab	0.0592475
"tax rate"	0.0590466
shingle	0.0590262
wood	0.0587406
threshold	0.0586188
maximum	0.058541
marble	0.0584855
furnishings	0.0584569
railing	0.0580588
front	0.0578983
veranda	0.0575482
Concrete	0.0573643
fee	0.0573368
elevator	0.0572628
cliff	0.0570163
seating	0.0569075
bookcase	0.0568587
bookshelf	0.0567235
light	0.0562768
fresco	0.0562767
Stairway	0.0561951
"interest rate"	0.0558811
garage	0.0557603
deduction	0.0554523
rebate	0.0554303
ratio	0.0553536
locker	0.0552801
"front door"	0.0551319
patio	0.0550092
ground	0.0549439
"living room"	0.0547877
regulation	0.0545521
"purchase price"	0.0545494
minimum	0.05447
gate	0.0544425
"stained glass"	0.0543625
box	0.0543187
awning	0.0542571
feet	0.0542402
insulation	0.0542031
ledge	0.0541967
pedestal	0.0538293
rim	0.0538016
"income tax"	0.0537828
sidewalk	0.0536535
sculpture	0.0536187
estimate	0.0535184
plumbing	0.0535027
wiring	0.0533828
altar	0.0533045
subsidy	0.053211
house	0.0528639
projection	0.052858
vent	0.0526436
scaffolding	0.052633
figure	0.0525933
bath	0.0525618
pole	0.0525008
surcharge	0.052391
lawn	0.0523829
"price tag"	0.0523622
seat	0.0522337
allocation	0.0521959
fuselage	0.0521886
"time limit"	0.0520585
amount	0.0516494
standard	0.0514548
vault	0.0514221
guideline	0.0513426
expenditure	0.0512552
fixture	0.0509961
reduction	0.0509498
"growth rate"	0.050928
rent	0.0508705
ban	0.0507647
"coffee table"	0.0506857
plaque	0.050641
premium	0.0505849
couch	0.0505
corridor	0.0504999
courtyard	0.0503689
stove	0.0503111
dashboard	0.0500544
curb	0.0500264
mosaic	0.049989
"excise tax"	0.0499721
bridge	0.0498836
lobby	0.0497731
rooftop	0.0496727
wire	0.0496686
painting	0.0495743
fountain	0.0495523
corner	0.0495513
payment	0.0494218
trunk	0.0494138
price	0.0493316
fabric	0.0491739
faucet	0.0491667
stair	0.0491284
mattress	0.048925
surplus	0.0488883
peak	0.0487189
"down payment"	0.0486776
decoration	0.0486167
bottom	0.0485261
ladder	0.0485182
))
(celeb (desc 1086.34) (sims
three-foot	0.0828016
"electric light"	0.0724622
pre-@@@@	0.0582782
"golden eagle"	0.0504502
"bald eagle"	0.0494142
CBS-TV	0.0470171
postgame	0.0462266
"margin call"	0.0446467
peep	0.0437138
"cold shoulder"	0.0434061
"white person"	0.0431916
"goose bumps"	0.0430935
after-hours	0.0425375
Roberson	0.0404347
FloJo	0.0402308
))
(celebrant (desc 2982.23) (sims
reveler	0.135044
worshipper	0.100638
worshiper	0.0963564
onlooker	0.0851573
marcher	0.0822032
registrant	0.0817816
mourner	0.0788697
skydiver	0.0771802
protestor	0.0745021
Beijingers	0.0713255
motorcyclists	0.0713223
conventioneer	0.0695346
Parisian	0.0688457
Atlantans	0.0676908
wellwisher	0.0672828
Muscovite	0.0659863
townsfolk	0.0658078
congregants	0.0656259
pallbearer	0.0654843
partygoer	0.0649586
well-wisher	0.0640724
petitioner	0.0633225
bather	0.0632065
Ghanaians	0.0629145
"Cuban Americans"	0.0623939
"New Englander"	0.0619291
parishioner	0.0613583
crewmembers	0.0611941
Englishmen	0.0611132
"church member"	0.0607943
"Albanian Kosovars"	0.0604158
rioter	0.0603011
Irishmen	0.0596401
Chinese-Americans	0.0595654
Angelenos	0.0590862
bystander	0.0587483
vacationer	0.0584518
attendees	0.0583437
celebs	0.0574953
midshipmen	0.0574316
pilgrim	0.0573133
naysayer	0.0571791
theatergoer	0.0571201
stone-throwers	0.0569907
passersby	0.0568338
birder	0.0567625
concertgoers	0.0567082
spectator	0.0566926
demonstrator	0.0563203
parachutist	0.0559031
evacuee	0.0554535
"Sri Lankans"	0.0554216
moviegoer	0.0550047
quarterfinalists	0.0550007
throng	0.0548602
mainlanders	0.0547936
churchgoer	0.0543973
Navajos	0.0540529
Haitian	0.0539346
"South Carolinian"	0.0539011
gawkers	0.0537156
returnees	0.05371
wage-earner	0.0534658
patron	0.0532723
Gabbi	0.0519524
passers-by	0.0516558
panelist	0.0510135
twentysomethings	0.0503937
Stealers	0.0502342
Ugandan	0.0502052
commuter	0.0500779
"Sierra Leonean"	0.0499842
Washingtonian	0.0499619
honoree	0.0498478
schoolchildren	0.0497297
earthling	0.0495727
sightseer	0.0493855
revelry	0.0493148
peasant	0.0493082
Mozambican	0.0491926
"Russian Jews"	0.0491416
"staff officer"	0.0490971
"North Africans"	0.0490773
enumerators	0.0490006
enactors	0.0488562
"South Koreans"	0.048779
Bhutanese	0.0487707
Barker	0.0487664
Ozersky	0.0487314
cultist	0.0486269
kindergartners	0.0484424
"census taker"	0.0482269
cellist	0.0480641
Dominican	0.0475742
stargazer	0.0475589
Bosnians	0.0475241
snowmobilers	0.047443
"music lover"	0.0473787
farmworkers	0.0473132
triathletes	0.0472975
bettor	0.0469942
Iowan	0.0468885
cabby	0.0468617
"fellow worker"	0.0466377
"East Timorese"	0.0465674
sixth-graders	0.0465172
acquirer	0.0464187
camper	0.0461181
Timorese	0.046055
traveller	0.0459926
escapee	0.0459757
Honduran	0.0459198
westerner	0.0458938
"North Carolinian"	0.0458454
Cuban-Americans	0.0458285
holidaymaker	0.0456895
townspeople	0.0455772
Copt	0.0454825
"Kosovo Serbs"	0.0454695
bikers	0.0453274
Londoner	0.0453116
sherpas	0.0449475
Ecuadoreans	0.0448711
experimenter	0.0448563
scalpers	0.044678
Kurds	0.0446051
bicyclist	0.0445912
"world leader"	0.0445171
"storm cloud"	0.0443728
Namibian	0.0443331
shindig	0.0443241
adoptees	0.0443039
crewmen	0.0442403
"supporting players"	0.0441935
"Orthodox Jews"	0.0440733
Guatemalan	0.0440326
seeker	0.0439927
passerby	0.0439469
Chinese-Indonesians	0.0439319
"union member"	0.0439118
"jazz band"	0.0438768
Minnesotan	0.0438035
Moroccan	0.0437372
achiever	0.0436509
transient	0.0436073
Panamanian	0.0435895
"hotel manager"	0.0435562
"faculty member"	0.0435081
emigrant	0.0434388
"Kosovar Albanians"	0.0434202
Nicaraguan	0.0433696
"telephone booth"	0.0432692
Eritrean	0.0431892
"garment worker"	0.0430579
"business executive"	0.0430134
"mountain climber"	0.0429516
hemophiliac	0.0428885
kayakers	0.042805
"political detainee"	0.0427999
amputee	0.0427676
crewmates	0.0426908
"musical group"	0.0426309
Somali	0.0426305
searcher	0.042581
Burundian	0.0425586
carmakers	0.0424026
"university student"	0.0423886
exhibitor	0.0422447
filmgoers	0.0422412
straggler	0.0421929
Salvadoran	0.042001
"foreign service officer"	0.0416703
"day laborer"	0.0415743
"sports fan"	0.0415333
Konstantinov	0.0415318
Orangemen	0.0413415
"North Koreans"	0.0413291
canine	0.0412955
interviewee	0.0409142
laid-offs	0.0407915
admirer	0.0407446
Klansmen	0.040679
Montenegrins	0.0406651
"union worker"	0.0405929
meltdowns	0.0405607
guardsmen	0.0404145
Yemeni	0.0403276
fandom	0.0402957
"New Jerseyans"	0.0402437
singer-songwriters	0.0402385
tribesman	0.0402036
Liberian	0.0401386
illegals	0.0400814
Tibetans	0.0400665
holdover	0.0400323
countrymen	0.0400237
))
(celebration (desc 130081) (sims
festivity	0.201748
ceremony	0.177446
festival	0.166007
parade	0.158147
commemoration	0.156839
gala	0.148128
concert	0.14139
gathering	0.137397
anniversary	0.136336
event	0.131256
Rally	0.128325
holiday	0.128122
demonstration	0.123653
dinner	0.119172
observance	0.11532
banquet	0.112154
meeting	0.111147
reception	0.110357
conference	0.11005
show	0.107369
Exhibition	0.107191
wedding	0.10705
extravaganza	0.103834
funeral	0.101246
reunion	0.101157
bash	0.10112
convention	0.0996052
protest	0.0982952
feast	0.0972066
summit	0.0971111
session	0.0964435
fair	0.096127
occasion	0.0955582
inauguration	0.0944285
vigil	0.0941677
opening	0.0929037
luncheon	0.0926685
debate	0.0924253
firework	0.0919257
forum	0.0913849
visit	0.0907475
symposium	0.0904179
tour	0.0903413
speech	0.0900192
birthday	0.0886652
"summit meeting"	0.0883684
seminar	0.087941
fund-raiser	0.0876882
pageant	0.0876345
dance	0.0875641
"news conference"	0.0867852
activity	0.0863377
display	0.0860632
presentation	0.085874
Carnival	0.0854546
trip	0.0853983
party	0.0843621
prayer	0.0839593
"press conference"	0.0837305
discussion	0.0835874
ritual	0.0835448
procession	0.0829574
talk	0.0828137
memorial	0.0820648
election	0.0817315
March	0.0815053
vacation	0.0813187
performance	0.0811155
launch	0.0804949
exercise	0.0802251
tribute	0.0791306
game	0.0785526
jubilee	0.0776642
hearing	0.0775683
picnic	0.0773548
contest	0.0773171
"Spring Festival"	0.0772496
Exposition	0.0767038
appearance	0.0756635
auction	0.0754151
premiere	0.0748186
riot	0.0747484
rite	0.074724
workshop	0.0747083
mass	0.0746258
"New Year"	0.0744068
moment	0.0741531
exhibit	0.0740975
series	0.0734858
match	0.0734813
countdown	0.0734618
scene	0.0731801
salute	0.0730676
reunions	0.072437
special	0.0723321
campaign	0.0723247
joy	0.0719834
announcement	0.071981
"New Year's eve"	0.0719711
frenzy	0.0711682
pilgrimage	0.0705137
"World Cup"	0.0704943
"town meeting"	0.070026
explosion	0.0697354
competition	0.0696111
breakfast	0.0695047
handover	0.0694132
excitement	0.0693946
preparation	0.069278
strike	0.0690827
"Olympic Games"	0.0689742
trial	0.068971
atmosphere	0.0689635
tournament	0.068923
crowd	0.0687495
negotiation	0.0687201
race	0.0687159
lunch	0.0683919
tradition	0.0682741
honor	0.0676905
"Democratic National Convention"	0.0676527
triumph	0.0674227
clash	0.0673374
fight	0.0671804
spectacle	0.0670389
workout	0.0669924
meal	0.0669386
Entertainment	0.0669034
lecture	0.0668657
eve	0.0668403
Olympics	0.0667218
millennium	0.0666811
life	0.0664776
battle	0.0663733
drama	0.0662967
greeting	0.0659457
"general election"	0.0657286
broadcast	0.0653838
finale	0.0653632
homecoming	0.0651384
war	0.0650725
service	0.0650132
"National Day"	0.0649642
"board meeting"	0.0647349
championship	0.0644469
program	0.0644035
unveiling	0.0643454
day	0.0641774
signing	0.0641563
coronation	0.0639771
story	0.0639588
"dinner party"	0.0639015
theme	0.0637897
arrival	0.063641
music	0.0636325
victory	0.0634928
"All-Star Game"	0.0633363
confrontation	0.0632446
barbecue	0.0632206
bonfire	0.0631709
attack	0.0628433
showdown	0.0627266
incident	0.0627089
proceeding	0.0626565
revival	0.0626156
Evening	0.0625947
Mission	0.0623349
marathon	0.0622489
Song	0.062164
gift	0.0621025
journey	0.0620325
struggle	0.0620109
"Independence Day"	0.0618763
attraction	0.0616433
conversation	0.0614802
function	0.0613908
Promotion	0.0613077
spree	0.0612559
cruise	0.0611809
referendum	0.0610638
film	0.0610202
violence	0.0609635
interview	0.0607809
project	0.0605755
"Super Bowl"	0.0605495
briefing	0.0604053
search	0.0603106
edition	0.0602655
practice	0.060034
effort	0.0600214
tragedy	0.0600019
brawl	0.0599993
burial	0.0599356
screening	0.0599156
release	0.0598755
movement	0.0595068
"committee meeting"	0.0594994
history	0.0592912
"panel discussion"	0.0592087
euphoria	0.0591784
))
(Celebrex (desc 5703.33) (sims
Zocor	0.231026
Vioxx	0.22261
LIPITOR	0.221603
Rezulin	0.220187
RU-@@@	0.217199
Claritin	0.201127
Prilosec	0.198574
ENBREL	0.194172
Prozac	0.193071
Propulsid	0.192838
Propecia	0.186999
Avonex	0.186636
Xenical	0.183986
viagra	0.183332
Relenza	0.179477
Zoloft	0.170933
tamoxifen	0.169856
thalidomide	0.167513
AZT	0.166383
Endostatin	0.155999
Ritalin	0.155644
Herceptin	0.154118
mifepristone	0.15397
Epogen	0.152545
Phentermine	0.135825
pill	0.131771
nevirapine	0.129649
painkiller	0.118047
Pondimin	0.113416
methadone	0.113354
Taxol	0.111728
raloxifene	0.11055
Erythropoietin	0.109565
fenfluramine	0.108938
Redux	0.107423
Valium	0.106278
medication	0.106024
antibiotic	0.105099
Fen-Phen	0.103442
Zyvox	0.102987
GHB	0.100923
TPA	0.0981721
contraceptive	0.0967264
EPO	0.0966592
aspirin	0.0944243
inhibitor	0.0938658
interferon	0.0887245
"human growth hormone"	0.0882306
Vaccine	0.0873477
supplement	0.0854434
methamphetamine	0.0847977
"prescription drug"	0.0846501
androstenedione	0.0838985
placebo	0.0824571
Botox	0.0823076
amphetamine	0.0806948
angiostatin	0.080244
antihistamine	0.0796937
ecstasy	0.0791418
morphine	0.0784256
Paxil	0.0780072
herbicide	0.0773305
nicotine	0.0766367
"contact lense"	0.0755937
olestra	0.0749575
nitroglycerin	0.0740805
"St. John's wort"	0.0739343
marijuana	0.071758
creatine	0.0716064
acetaminophen	0.0711305
"sleeping pill"	0.0710384
tranquilizer	0.0708451
hormone	0.0703299
leptin	0.0702041
Benecol	0.0697056
stents	0.0693595
opiate	0.0692097
melatonin	0.0683679
prescription	0.068102
penicillin	0.0675143
steroid	0.0670071
Tylenol	0.0668352
therapy	0.0659054
"Palm VII"	0.0652105
"growth hormone"	0.065069
blocker	0.0641211
Dreamcast	0.0634461
implant	0.0634289
ketamine	0.0633448
insulin	0.063236
dosage	0.0628281
"hand-held computer"	0.0625534
hGH	0.0623317
andro	0.0615766
echinacea	0.0588106
copier	0.0579618
"food product"	0.057878
anti-inflammatory	0.0577126
"passenger car"	0.0575879
"Glaxo Wellcome"	0.0573732
"breast implant"	0.0568369
tablet	0.0566942
sedative	0.0563221
generics	0.0561786
condom	0.0558261
chemotherapy	0.0557636
injection	0.0552791
iMac	0.0552696
Norplant	0.0551218
capsaicin	0.0549733
inhaler	0.0543862
clenbuterol	0.0543396
Advil	0.0541199
estrogen	0.0535098
psychotherapy	0.0534967
acupuncture	0.0534438
vitamin	0.0528376
"mainframe computer"	0.052495
PalmPilot	0.0519691
minicomputer	0.0514848
diuretic	0.0514402
herb	0.0513559
"software product"	0.0510867
e-BOOKS	0.051
stent	0.0504998
"wonder drug"	0.0503572
videophone	0.0502961
Budweiser	0.0501947
cocktail	0.0499358
ointment	0.049776
"New Beetle"	0.0497504
cannabis	0.0497378
heroin	0.049596
"Pfizer Inc."	0.0494936
workstation	0.0494452
stanozolol	0.0494136
ethanol	0.0492936
adenovirus	0.0484978
ibuprofen	0.0484884
"birth control"	0.0480395
"bond issue"	0.0479181
kit	0.0475903
ephedrine	0.0475037
Prius	0.047483
angioplasty	0.0469017
"hearing aid"	0.0468748
lozenge	0.046647
"Playstation II"	0.0463199
scooter	0.0461979
"vitamin E"	0.0460052
defibrillators	0.0456828
"Go Network"	0.0455528
MTBE	0.0452849
anesthetic	0.0451294
iMacs	0.0449681
handset	0.0446534
ESCALADE	0.0444827
Contraception	0.0442172
Novartis	0.0442155
irradiation	0.0438332
hypnosis	0.0435948
TCM	0.0435689
pharmaceutical	0.0434302
"consumer goods"	0.0434234
liquor	0.0433591
"cosmetic surgery"	0.043315
"Pentium III"	0.0432917
Athlon	0.0432852
Bocelli	0.0431824
annuity	0.0429586
Toomer	0.042741
potion	0.0426589
Measures	0.0426229
laxative	0.0423993
"PT Cruiser"	0.0423719
"Palm Pilot"	0.0422001
cereal	0.0421282
"software package"	0.0419171
"new line"	0.0417825
"cellular phone"	0.0416636
"California wine"	0.0416194
Warner-Lambert	0.0416087
vaccination	0.0415491
Fragrance	0.0415124
"soft drink"	0.0414923
LSD	0.0414506
"product line"	0.0413706
"compromise plan"	0.0413205
Pfizer	0.0412818
LASIK	0.0412475
Mach	0.0412295
"wind power"	0.0412147
"GI Joe"	0.0412015
"Office @@@@"	0.0411677
kava	0.0411667
"home appliance"	0.0411017
motherboards	0.0408779
insecticide	0.0407752
"life insurance"	0.0406765
"household appliance"	0.0406414
))
(celebrity (desc 83813.2) (sims
"movie star"	0.118467
artist	0.108979
star	0.100762
fame	0.0995846
politician	0.0995618
athlete	0.0994509
personality	0.0991495
luminary	0.0982487
actor	0.0982305
dignitary	0.0977586
superstar	0.0966564
entertainer	0.0953049
hero	0.0948083
musician	0.094297
performer	0.0896515
filmmakers	0.0879313
guest	0.0864689
academic	0.0858466
actress	0.0856217
journalist	0.0854177
talent	0.083191
writer	0.0831273
intellectual	0.0827221
people	0.0819698
folk	0.0815046
icon	0.081418
character	0.0811314
Entertainment	0.0810078
"rock star"	0.0802434
professional	0.0797501
kid	0.0783425
stardom	0.0781548
woman	0.0780175
millionaire	0.0779148
entrepreneur	0.0775636
man	0.0774428
Hollywood	0.0772547
sport	0.0768132
fan	0.0761639
player	0.0757816
friend	0.0755553
tourist	0.0751658
scholar	0.07511
dancer	0.0748331
girl	0.0734462
VIP	0.0733021
chef	0.0732393
statesmen	0.0729884
culture	0.0726656
"business leader"	0.0717916
movie	0.0717828
individual	0.0717564
personage	0.0716411
businessmen	0.0716014
student	0.0714431
art	0.0713952
poet	0.0710195
success	0.0709176
activist	0.0707454
beauty	0.0705879
family	0.0705669
designer	0.0703983
composer	0.0703571
legend	0.0703475
media	0.0702835
glamour	0.070132
notoriety	0.0701267
singer	0.0700511
visitor	0.0699338
image	0.0690515
"business executive"	0.0688781
audience	0.0688522
youth	0.0686554
author	0.068579
fashion	0.068562
elite	0.0684617
banker	0.0684075
politics	0.0682969
person	0.0680204
golfer	0.0679856
guy	0.0678304
citizen	0.0677315
comedy	0.0674906
advertiser	0.067432
sex	0.067356
style	0.0671341
drama	0.0667744
child	0.0666992
religion	0.0666045
fantasy	0.0664671
criminal	0.0663773
life	0.0663324
member	0.066072
music	0.0660162
client	0.0658375
donor	0.0657735
"young woman"	0.0657178
collector	0.0654714
figure	0.065464
film	0.0652531
"role model"	0.064958
spectator	0.0647513
outsider	0.0646232
lover	0.0645261
"New Yorker"	0.0642428
someone	0.0640845
volunteer	0.064009
"family member"	0.063866
"elected official"	0.0638175
boy	0.0637114
mogul	0.0633623
jock	0.0631881
candidate	0.0631692
comedian	0.0631605
expert	0.063127
photographer	0.0630448
male	0.0629262
teen-ager	0.0629134
customer	0.0628312
wealth	0.062521
phenomenon	0.0625193
"world leader"	0.062488
painter	0.0624634
"government officials"	0.0623786
reporter	0.0623352
parent	0.0622238
Playwright	0.0621979
television	0.0619761
doctor	0.0615885
"young man"	0.0614344
scientist	0.061243
socialite	0.0612313
patron	0.0611384
subject	0.0610829
consumer	0.0608734
"baseball player"	0.060864
Chinese	0.0608517
mystery	0.0608191
"soap opera"	0.0607301
idol	0.0606585
pundit	0.0605638
resident	0.0604731
humor	0.0604125
executive	0.0603136
TV	0.0603064
Reader	0.0602736
hype	0.0602175
shopper	0.0601398
American	0.0600721
genius	0.0599638
attraction	0.0599136
relative	0.0598981
Alumni	0.0598724
type	0.0597992
stuff	0.0597873
viewer	0.0596772
stranger	0.0596538
veteran	0.059585
contestant	0.0595545
billionaires	0.0595135
gossip	0.0593664
listener	0.0593522
business	0.0593001
royalty	0.059295
worker	0.0592142
participant	0.0592066
creature	0.0591232
buff	0.0591078
businesspeople	0.0590823
diplomat	0.0590407
immigrant	0.0589881
money	0.0589056
comic	0.0588825
employee	0.0588691
investor	0.0588021
"political leader"	0.0586644
lifestyle	0.058656
object	0.0586213
"corporate executive"	0.0586157
model	0.0585477
philanthropist	0.0584909
Pioneer	0.0584864
enthusiast	0.0584822
stylist	0.0582982
lobbyist	0.0582801
teacher	0.0581971
starlet	0.0581369
thing	0.0580709
theater	0.0580687
event	0.0579577
delegate	0.0578105
experience	0.0577752
everyone	0.0577519
rappers	0.0577514
adventure	0.057744
popularity	0.0576633
joke	0.0576563
many	0.0573812
"young girl"	0.0573776
genre	0.0573156
))
(celebs (desc 2100.88) (sims
major-leaguers	0.125039
luminary	0.104895
supermodels	0.0989681
multimillionaires	0.0984967
phenoms	0.0964807
rappers	0.0928187
Creationists	0.0877124
starlet	0.087594
"heavy hitter"	0.0842634
Atlantans	0.0783816
"odds and ends"	0.078159
"extracurricular activity"	0.0771913
billionaires	0.0750635
standouts	0.0743665
zingers	0.0740402
"New Democrats"	0.0732972
personae	0.0721413
Navajos	0.0721042
enactors	0.070761
pluses	0.0707222
ballgames	0.070684
lawbreaker	0.0706273
Muscovite	0.0702437
in-jokes	0.0683674
nightspots	0.0681627
"Southern Democrats"	0.0672794
"bird of prey"	0.0671097
concertgoers	0.0669468
"hard drug"	0.0668141
cyclicals	0.0668134
transnationals	0.0664209
old-timer	0.0663068
twentysomethings	0.0655707
e-tailers	0.0653762
fests	0.0649285
firsts	0.064662
spammers	0.0644747
enlistee	0.0638277
embellishment	0.0637684
"New York Democrats"	0.0635591
VCs	0.0635578
"loose end"	0.0634111
execs	0.0630391
craftspeople	0.0629811
has-been	0.0628946
churchgoer	0.0626335
beachgoers	0.0626246
deejays	0.0623394
"big shot"	0.0622759
blue-chips	0.0621989
"big leaguer"	0.0617308
headliners	0.0615239
partygoer	0.0615017
vertebrate	0.0614269
hangers-on	0.0613211
specialities	0.0613192
Vermonter	0.0612384
dignitary	0.0611183
ifs	0.0608208
dot-coms	0.0604998
intangible	0.0604541
"media property"	0.0603961
wretch	0.0602818
near-misses	0.0602692
filmgoers	0.0602155
filmmakers	0.0600759
grown-up	0.0599036
greats	0.0596932
Frenchmen	0.0592879
hipsters	0.0592511
"leading lady"	0.059201
reveler	0.0588168
"David Spade"	0.0587327
bigwig	0.0585241
Futurist	0.058366
experimenter	0.0583411
entertainer	0.0583352
preservationists	0.0579332
"movie star"	0.0578289
Bostonians	0.0577807
"key market"	0.0577439
"Hugh Grant"	0.0577183
celebrant	0.0574953
out-of-towners	0.0573975
provocateurs	0.0573774
scriptwriter	0.0573294
ism	0.057308
keystrokes	0.0571462
"role player"	0.0571076
Mississippian	0.0570742
preparers	0.0570352
tidbit	0.056878
multinationals	0.0567367
newscaster	0.0562654
"technology issue"	0.0561269
"supporting players"	0.0561184
"church member"	0.0560459
presenter	0.0559605
Hawaiians	0.055821
vaulter	0.0557349
signees	0.0557076
"club member"	0.0555516
middlemen	0.0555058
townspeople	0.0553434
"subject area"	0.0552918
thespian	0.0552037
"market participant"	0.0551454
"Internet Service Providers"	0.055096
"talking head"	0.0550348
literati	0.0550082
birder	0.0548526
hopefuls	0.0548247
Quebecers	0.0548094
Irishmen	0.0546413
Londoner	0.054477
synthetic	0.0544425
"enlisted man"	0.0543352
projectile	0.0543006
"commercial enterprise"	0.0540043
immortal	0.0539909
scribe	0.0538659
schematic	0.0538202
inductees	0.0537792
newsmagazines	0.0537636
sportswriters	0.05372
"market watcher"	0.0533971
duffer	0.0533327
Alumni	0.053288
handicappers	0.0531028
"Katie Couric"	0.0530753
critters	0.0528989
"hundred thousand"	0.0528737
"mental disorder"	0.052839
huckster	0.0528313
Ghanaians	0.0528189
playlist	0.0527678
accouterment	0.0527111
"vital organ"	0.0524672
ISPs	0.0523801
interloper	0.0523363
politico	0.0523069
"Brooke Shields"	0.052292
generics	0.0521975
aromatics	0.0521646
Confederate	0.0521412
Amish	0.0520867
varietals	0.0520745
"Orthodox Jews"	0.0519324
"Tim Russert"	0.0518969
attendees	0.0517466
getup	0.0515751
"department employee"	0.0515193
"hundred million dollars"	0.0515044
"success story"	0.0514813
All-Americans	0.0514225
Cuban-Americans	0.051356
side-effects	0.0513159
part-timer	0.0513
pundit	0.0511613
Swazi	0.0511153
things	0.0510512
oddity	0.0510479
schoolers	0.0509991
earthling	0.0509434
marcher	0.0509269
well-wisher	0.0508924
boarder	0.0508871
"Mae West"	0.0507611
passersby	0.0506687
remotes	0.0506671
cabby	0.0504987
imitator	0.0504709
invertebrate	0.0504665
superheroes	0.0504194
Northerner	0.050352
"matinee idol"	0.0503249
"fringe benefit"	0.0502928
"skin care"	0.0502674
straggler	0.0502553
underling	0.0501254
"situation comedy"	0.0501099
Honduran	0.0500539
congregants	0.0500472
pedophiles	0.0500085
cameramen	0.0497177
"safety feature"	0.0495328
flapper	0.0494916
collectibles	0.0494071
Angelenos	0.04929
hypotheses	0.0492877
PACs	0.0492582
bleep	0.0492157
"John Lithgow"	0.0491826
trapper	0.0491471
"game of chance"	0.0490645
loony	0.0490516
"Tom Cruise"	0.0489512
goody	0.0489451
baby-boomers	0.048935
nonprofits	0.048928
))
(Celera (desc 6099.5) (sims
ENTREMED	0.137596
Incyte	0.136379
Venter	0.116314
"P&AMP;G"	0.109425
"Thermo Electron"	0.106868
AutoNation	0.100602
Emulex	0.0991834
Sepracor	0.0989356
Biogen	0.0981434
Genentech	0.0979527
Healtheon	0.0974987
Monsanto	0.0970683
TYCO	0.0969382
EMC	0.0966444
Halliburton	0.0954216
Gazprom	0.0947589
Nortel	0.0939695
PLDT	0.0920101
RJR	0.0915327
PETROBRAS	0.091424
Bridgestone	0.0914006
Pfizer	0.0911256
Geron	0.0907405
DoubleClick	0.0889511
UAL	0.0883975
MindSpring	0.0880661
Marketspan	0.087882
Starwood	0.0872406
Amgen	0.0871359
Healtheon/WebMD	0.0868701
Priceline	0.0866359
ExciteAtHome	0.0857318
Aetna	0.0851107
NCI	0.0847663
"Con Ed"	0.0842459
EarthLink	0.0841635
"College Board"	0.0834001
Globalstar	0.0826112
Chiron	0.0825543
"BP Amoco"	0.0822627
ALZA	0.0811469
McKesson	0.0808073
Qwest	0.0806849
Mattel	0.080144
Enron	0.080143
WebMD	0.0800228
Seagram	0.0799518
Genzyme	0.079542
Pepsico	0.0794794
Sunbeam	0.079444
E-LOAN	0.0793315
"Human Genome Project"	0.079275
Broderbund	0.0791511
Warnaco	0.0791181
NiSource	0.0789777
Gillette	0.0787941
AOC	0.0786382
oracle	0.0785266
Delphi	0.0783938
MiniMed	0.0780277
NHTSA	0.0776218
NIH	0.0774784
CPAFFC	0.0774624
Compaq	0.077459
Raytheon	0.0772828
consortium	0.0772332
"Network Associates"	0.0769486
"Global Crossing"	0.0768549
CMGI	0.0767719
Embraer	0.0766879
"Con Edison"	0.0762234
Amtrak	0.0762213
"U.S. Soccer Federation"	0.076186
Unicom	0.0758599
"Telecom Italia"	0.0756872
Bestfoods	0.0756125
Corel	0.075598
"Stride Rite"	0.0752272
PictureTel	0.075192
Airbus	0.0751527
Novartis	0.0751487
"Red Hat"	0.0751296
"Deutsche Telekom"	0.0750635
Akamai	0.0750251
Citigroup	0.0749215
"NTT DoCoMo"	0.0746891
Medtronic	0.0746875
Seagate	0.0746469
Providian	0.0746157
"Sara Lee"	0.0745883
Vivendi	0.0745135
Netscape	0.0741098
"U S West"	0.0740674
"Computer Associates"	0.0739919
Icann	0.0739709
Inktomi	0.0739077
IDT	0.0738728
Astra	0.0737962
BellSouth	0.0737232
MP@.com	0.0733902
"U.S. Trust"	0.0732589
"Pac Bell"	0.0731352
AIG	0.0727292
AOL	0.0726352
WorldCom	0.0720761
Cendant	0.0720206
"HBO &AMP; Co."	0.0717918
GeoCities	0.0716328
CNET	0.0715578
NARAL	0.0714436
Novell	0.0713195
"De Beers"	0.0712731
IBM	0.0710948
Lycos	0.070549
Equifax	0.0703016
"Wine Institute"	0.0702288
"British Foreign Office"	0.0702267
AGL	0.0702263
Exxon	0.0701917
NatWest	0.0701299
Schwab	0.0700462
Livent	0.0700345
Alcoa	0.0700071
"Cox Communications"	0.069995
PETA	0.0698833
HP	0.0697421
Agilent	0.0696963
Reebok	0.0696535
DaimlerChrysler	0.069574
Railtrack	0.0694743
"Boston Scientific"	0.0693023
Mobil	0.0692801
"MCI WorldCom"	0.0692297
Webvan	0.0692155
"RJR Nabisco"	0.0688759
AMC	0.0688423
"Operation Lifeline Sudan"	0.0688321
Dell	0.0684244
VENATOR	0.0683993
Cabletron	0.0683749
"National Aeronautics and Space Administration"	0.0682912
NCR	0.0682645
Corning	0.0681448
"Bell Atlantic"	0.0681232
Kodak	0.0680601
Cargill	0.0679107
"Network Solutions"	0.0678581
ACOG	0.0678115
Mediaone	0.0677888
Callaway	0.0677879
Texaco	0.067683
"GE Capital"	0.0676678
"Rite Aid"	0.0673553
Renault	0.0673157
Qualcomm	0.0670828
ARCO	0.0668135
SGI	0.0666885
Penney	0.0666848
Motorola	0.066664
Warner-Lambert	0.0665973
"Salt Lake Organizing Committee"	0.0664939
Nextel	0.0662029
FPL	0.0661863
PDVSA	0.0661768
COLTEC	0.0661753
Comcast	0.0661455
"Knight Ridder"	0.0660711
Asda	0.0659182
"J&AMP;J"	0.0658979
GANNETT	0.0658493
Schlumberger	0.0655931
RealNetworks	0.06559
CCA	0.0655376
Boeing	0.0654801
CCB	0.0653717
Hasbro	0.0652354
Conseco	0.0652346
Unilever	0.0652297
Intel	0.0651695
Pertamina	0.0651091
"Dell Computer Corp."	0.0650554
"France Telecom"	0.0649304
"Microsoft Corp."	0.0649078
AHP	0.0646796
Kroger	0.0646511
"Sydney Organizing Committee"	0.0646508
Gilead	0.064596
ENTERGY	0.0644812
"Hewlett-Packard Co."	0.0644388
"US West"	0.0643337
Konka	0.0643133
TiVo	0.0642256
MetLife	0.0641804
"Pacific Century"	0.0641161
Xerox	0.0641152
TKT	0.0640193
Tenneco	0.0640074
Honeywell	0.0639705
DirecTV	0.0639482
Daimler	0.0638956
))
(Celeron (desc 3757.26) (sims
"Pentium III"	0.321285
Pentium	0.319601
Athlon	0.308025
"Pentium II"	0.276246
K@	0.22139
processor	0.172601
Cyrix	0.153165
microprocessor	0.136782
G@	0.135823
Merced	0.134573
megahertz	0.12702
motherboards	0.116322
III	0.111541
Powerbook	0.108045
K-@	0.101786
Alpha	0.0913416
motherboard	0.091275
MII	0.084776
Gigahertz	0.0835822
dram	0.0824202
"Microsoft Windows"	0.0809978
AMD	0.0808345
"Windows CE"	0.0785405
Transmeta	0.0767689
videophone	0.0760347
CPU	0.0725659
II	0.070297
"Palm III"	0.0695876
olestra	0.0679288
hickory	0.066762
nacho	0.0651306
decoder	0.0645356
"Parent Trap"	0.063133
iMac	0.0600375
"Office @@@@"	0.0599863
GPS	0.0596637
ADSL	0.0596161
IC	0.0595879
supercomputer	0.0588024
analog	0.0577511
"memory chip"	0.0566947
"GI Joe"	0.0563169
BLUETOOTH	0.0561371
DSP	0.0560676
"fish meal"	0.0557143
Macintosh	0.0553774
BIOS	0.0541628
iBook	0.0541193
ESCALADE	0.0530937
gigabyte	0.0528639
Passat	0.052727
Dreamcast	0.0525942
Miata	0.0519896
rom	0.051258
"Palm VII"	0.0511199
Thinkpad	0.0511082
Unix	0.0507537
desktops	0.0499485
Alero	0.0497263
workstation	0.0493871
impala	0.0487915
"Mac OS"	0.0473619
DV	0.0467902
PlayStation	0.0466277
"Windows @@@@"	0.0466064
"Windows @.@"	0.0461966
Taurus	0.0461241
"software package"	0.0461156
"portable computer"	0.0460964
C@@	0.0460289
"manufacturing business"	0.045989
"milk chocolate"	0.045684
"Palm Pilot"	0.0455618
CDMA	0.0454062
Walkman	0.0452875
"up to eight"	0.0450909
"Microsoft Office"	0.0450114
mem	0.0446572
"Pennsylvania Station"	0.044652
"desktop computer"	0.0442236
Solaris	0.0441373
"exhaust system"	0.0439267
portables	0.0437416
encyclical	0.0437168
webcams	0.043514
"software product"	0.0432772
microcomputer	0.0432549
"Delta @"	0.0427561
"Field Poll"	0.0423436
Taxol	0.0422223
MS-DOS	0.0421481
"UNIX operating system"	0.0417399
generics	0.0416622
iMacs	0.0414859
"computer language"	0.0412572
"Starr Report"	0.0412291
"benefit program"	0.0410842
handheld	0.0409798
screamer	0.0406283
oilseed	0.040517
"Office @@"	0.0404999
Prius	0.0404702
cecil	0.040457
"compromise plan"	0.0403037
"female body"	0.0400732
))
(celery (desc 10803) (sims
"red onion"	0.387081
"bell pepper"	0.359675
"green onion"	0.341629
scallion	0.33296
onion	0.33278
zucchini	0.320239
leek	0.317443
carrot	0.316393
cucumber	0.310645
fennel	0.300168
shallot	0.299947
"green pepper"	0.292838
cabbage	0.290297
parsley	0.2848
"red pepper"	0.274479
Garlic	0.27167
spinach	0.265526
lettuce	0.263666
eggplant	0.262795
tomato	0.260894
radish	0.260711
"brussels sprout"	0.258378
cilantro	0.256829
chive	0.242725
turnip	0.241257
Basil	0.241158
beet	0.239487
jalapeno	0.235497
thyme	0.23495
mushroom	0.233596
Broccoli	0.232939
asparagus	0.22908
cauliflower	0.229053
dill	0.226531
parsnip	0.225767
avocado	0.222994
"green bean"	0.217535
ginger	0.216335
"black olive"	0.212238
oregano	0.211864
artichoke	0.211452
watercress	0.210697
pepper	0.204267
Kale	0.202998
"garlic clove"	0.202965
potato	0.19738
tarragon	0.194876
olive	0.194711
rutabaga	0.192299
lemongrass	0.191154
pea	0.187536
"Swiss chard"	0.184534
pimento	0.183053
mint	0.182666
pineapple	0.182232
squash	0.181278
arugula	0.181039
chiles	0.180458
chilies	0.179352
almond	0.179152
"pine nut"	0.178208
"sweet potato"	0.177114
"bean sprout"	0.176616
rosemary	0.176061
RHUBARB	0.174716
walnut	0.173571
chervil	0.173341
chard	0.171757
cheese	0.170698
"winter squash"	0.170698
Endive	0.16922
mustard	0.166168
"bay leaf"	0.165687
raisin	0.165616
"hot pepper"	0.165145
"red bell pepper"	0.162409
bacon	0.161957
"water chestnut"	0.161225
pancetta	0.161188
mango	0.161141
prosciutto	0.161027
ham	0.159162
okra	0.157613
tomatillo	0.156454
caper	0.154448
melon	0.154243
lemon	0.150995
"blue cheese"	0.150802
"snow pea"	0.15062
marjoram	0.148036
pecan	0.147567
"lemon juice"	0.146587
"cherry tomato"	0.14651
"goat cheese"	0.145468
Collard	0.14449
"tomato paste"	0.143206
corn	0.142837
pear	0.141797
anchovy	0.141562
cantaloupe	0.140992
sausage	0.140343
Sorrel	0.139949
salami	0.13986
bean	0.139844
"hard-boiled egg"	0.139548
mayonnaise	0.138852
lentil	0.136821
coriander	0.136295
"lime juice"	0.136246
peach	0.136235
fig	0.136115
pickle	0.134916
"tomato sauce"	0.134791
"string bean"	0.134461
pork	0.133493
pumpkin	0.133415
"plum tomato"	0.133284
papaya	0.132105
"lemon zest"	0.131808
FETA	0.131663
vinegar	0.131098
watermelon	0.131097
"olive oil"	0.130995
"macadamia nut"	0.129482
"romaine lettuce"	0.129115
nectarine	0.128057
herb	0.127984
"orange zest"	0.127748
Parmesan	0.125977
mozzarella	0.125937
"green olive"	0.125585
romaine	0.125555
clove	0.12467
florets	0.124588
horseradish	0.123284
Chickpea	0.123098
shrimp	0.122757
"bok choy"	0.122665
butter	0.122304
radicchio	0.122095
chutney	0.121874
crumb	0.12159
sauerkraut	0.121413
cashew	0.120395
lime	0.120175
"chicken broth"	0.12
apple	0.119643
Chili	0.119642
"Chinese cabbage"	0.119313
cumin	0.119015
croutons	0.117865
"sour cream"	0.117564
yogurt	0.117434
seasoning	0.117025
sprout	0.116884
chicken	0.116128
"beef broth"	0.115989
"black-eyed pea"	0.115595
"chili pepper"	0.115422
salt	0.11542
Sage	0.115251
vegetable	0.114799
plantain	0.114171
"lima bean"	0.113836
"coconut milk"	0.113827
banana	0.113641
"grated cheese"	0.113196
"sesame seed"	0.112391
"shiitake mushroom"	0.112389
"black bean"	0.112231
"cottage cheese"	0.112191
frisee	0.1115
strawberry	0.110842
apricot	0.110559
"Worcestershire sauce"	0.110367
"fava bean"	0.110363
coconut	0.110307
prune	0.110164
currant	0.11
Cherry	0.109843
ricotta	0.109275
"brown sugar"	0.107724
"white bean"	0.107621
veggie	0.107525
cornmeal	0.107078
Orange	0.105621
hazelnut	0.105404
Quince	0.105222
sprig	0.105026
broth	0.104232
"fennel seed"	0.103967
marshmallow	0.103947
cinnamon	0.103737
"mustard seed"	0.103357
egg	0.103212
bread	0.103051
macaroni	0.102308
"peanut oil"	0.102024
"chicken breast"	0.101832
"wild rice"	0.101674
"iceberg lettuce"	0.10139
raspberry	0.101325
peanut	0.101245
plum	0.101131
noodle	0.100978
breadcrumb	0.100256
))
("celery seed" (desc 1538.56) (sims
"cumin seed"	0.353391
"almond extract"	0.328677
"curry powder"	0.328116
"baking powder"	0.327756
"Worcestershire sauce"	0.326978
"coriander seed"	0.311617
"vanilla extract"	0.306223
"mustard seed"	0.289537
"cayenne pepper"	0.28388
oregano	0.280835
paprika	0.280712
"chili powder"	0.272498
"fennel seed"	0.27178
"lemon zest"	0.270682
thyme	0.262301
"white pepper"	0.261668
"sesame oil"	0.25493
"Tabasco sauce"	0.254393
"pepper sauce"	0.252695
"garlic salt"	0.2523
cumin	0.25033
peppercorn	0.244612
"baking soda"	0.237731
turmeric	0.2352
"black pepper"	0.227076
"lemon juice"	0.220784
allspice	0.212877
"sesame seed"	0.211149
cornstarch	0.209177
"lime juice"	0.203409
"seasoned salt"	0.203035
"wine vinegar"	0.196581
cayenne	0.196166
"tomato paste"	0.193201
"cider vinegar"	0.193153
cinnamon	0.192814
dill	0.191449
horseradish	0.19027
"orange zest"	0.185664
nutmeg	0.184508
marjoram	0.180648
salt	0.177499
"soy sauce"	0.175401
mustard	0.17323
tarragon	0.172279
vinegar	0.166588
rosemary	0.162115
"hot sauce"	0.160849
parsley	0.156589
vanilla	0.151919
Garlic	0.151703
"brown sugar"	0.150315
mace	0.14991
"red pepper"	0.149319
coriander	0.14575
flake	0.142609
Tabasco	0.139953
honey	0.138069
clove	0.136357
"olive oil"	0.136353
chive	0.136205
"corn syrup"	0.136005
shallot	0.135172
"bay leaf"	0.134005
ginger	0.131953
cilantro	0.131936
seasoning	0.128272
"chili sauce"	0.124987
kosher	0.124087
"vegetable oil"	0.122846
"sour cream"	0.122834
flavoring	0.12252
Basil	0.121524
"hot pepper"	0.120117
shortening	0.119772
saffron	0.118279
"peanut oil"	0.116571
mint	0.114463
molasses	0.111142
"orange peel"	0.111073
powder	0.109707
ketchup	0.108146
jalapeno	0.108102
tahini	0.107694
margarine	0.107045
mayonnaise	0.106441
caper	0.104392
"egg yolk"	0.103225
"heavy cream"	0.102958
lemon	0.101718
"pineapple juice"	0.10065
"green onion"	0.0990101
"maple syrup"	0.0975361
"green pepper"	0.0961726
"food coloring"	0.0957762
chilies	0.094993
gelatin	0.0947964
"Grand Marnier"	0.0947574
sherry	0.0940469
cornmeal	0.0929132
"poppy seed"	0.0926303
cardamom	0.0924799
"orange juice"	0.0922814
yeast	0.0910007
"cooking oil"	0.0899735
"pine nut"	0.0891368
fennel	0.0868371
Sage	0.0852661
"star anise"	0.0847622
"tomato juice"	0.0832949
pimento	0.0807774
buttermilk	0.0800689
Chili	0.0794555
crumb	0.0793228
"egg white"	0.0779611
"white wine"	0.0775899
almond	0.076864
cocoa	0.0758714
chutney	0.0753993
scallion	0.075166
liqueur	0.0744187
"orange marmalade"	0.0735299
"coconut milk"	0.0729225
"beef stock"	0.0724235
turnip	0.069243
"chicken broth"	0.0690608
"grated cheese"	0.0681523
pecan	0.0678537
"bell pepper"	0.0678394
"peanut butter"	0.0676139
"whipping cream"	0.0670929
"tomato sauce"	0.0659038
"garlic clove"	0.0655924
lavender	0.0646189
pancetta	0.0643749
canola	0.0624357
rum	0.0619072
bouillon	0.0615206
raisin	0.0586037
celery	0.0584558
Mayo	0.0581264
half-and-half	0.0574901
"black bean"	0.0571228
"cottage cheese"	0.0568408
fraiche	0.0566482
Gorgonzola	0.0561752
zest	0.056085
Kale	0.0549866
starch	0.0547027
Cognac	0.0540609
"Swiss chard"	0.053871
breadcrumb	0.0534076
"coconut oil"	0.0533762
Or	0.0530798
sweetener	0.0530631
hazelnut	0.0527894
radish	0.0511826
mascarpone	0.0504104
jelly	0.0501837
"apple juice"	0.0498875
Provence	0.0498761
preserves	0.0494156
"raw vegetable"	0.0493921
sauerkraut	0.049126
raspberry	0.0489988
"barbecue sauce"	0.0486861
tapioca	0.0482152
chervil	0.0479687
bauxite	0.0476515
"beef broth"	0.0472821
"hoisin sauce"	0.0470402
espresso	0.0463561
sesame	0.0462839
"red onion"	0.0461878
"evaporated milk"	0.0461523
pesto	0.0460059
croutons	0.0458671
"lemon peel"	0.0446421
Chipotle	0.0439825
electrolyte	0.0437664
"bok choy"	0.0435102
currant	0.0434638
granule	0.0418107
lentil	0.0417875
cider	0.0414485
MSG	0.0403878
Tamarind	0.040354
))
(Celestine (desc 1366.26) (sims
Sibley	0.0884498
Horace	0.0764233
Dunne	0.0761065
Rabe	0.0734186
Susann	0.0725577
Burroughs	0.0711114
Renee	0.0689784
Sade	0.0685145
Plath	0.0681379
Tilberis	0.0651544
McMurtry	0.0648167
Tuinei	0.0636206
Hamill	0.0626532
Krugman	0.0623894
"John Paul"	0.0615516
Edwin	0.0614284
Cramer	0.0605166
Harbison	0.0603773
Kurosawa	0.0597839
Gielgud	0.0590244
Lawler	0.0580904
Tevanian	0.0580743
Chappell	0.05753
Lewises	0.0574346
Eubanks	0.0563612
Skiles	0.0550368
Postel	0.0549013
Dandridge	0.0547533
Soldini	0.0547344
Melanie	0.0547192
Hellman	0.0541074
Cassie	0.0540918
Junger	0.0538208
Sealy	0.0532909
Dyer	0.0532841
Klemperer	0.0532835
Buffett	0.0531829
Edson	0.053137
McKenna	0.0528715
Hitchens	0.0528714
Radojevic	0.0526157
Pegram	0.0525317
Borges	0.0524543
"Mike Williams"	0.0518246
Weiner	0.0516707
DiPietro	0.0515123
Winchell	0.0510824
"Gail Collins"	0.0507977
Grisham	0.0505376
Shatner	0.0502336
"George Orwell"	0.050186
"De Palma"	0.0498218
al-Sahaf	0.0495932
Sheehan	0.0494574
Seuss	0.0493261
Kidder	0.0490719
Muller	0.0488293
Alexie	0.0486797
Jimy	0.048543
Remnick	0.0481354
Starovoitova	0.0480885
Isikoff	0.0477505
Wildhorn	0.0477102
"Anthony Lewis"	0.0476377
Bullard	0.047342
Sartre	0.0472555
Theroux	0.0472099
Chaucer	0.0471993
Heaney	0.0467788
Moreau	0.0466496
Shurmur	0.0463852
Reinhardt	0.0463266
Hine	0.0462516
Castaneda	0.0460689
Blackmun	0.0460032
Torvalds	0.0459746
Rudman	0.0459034
Sheehy	0.0457199
Ozersky	0.0455929
Mayer	0.0455835
Jauron	0.0455165
Salinger	0.0454398
Oppenheimer	0.0454365
Cepeda	0.0453563
Haouari	0.0453056
Naipaul	0.0451059
Echols	0.044921
Komura	0.0448786
Panchen	0.0447713
McPherson	0.0446913
Eszterhas	0.0446533
Scalfaro	0.0446123
Gutman	0.0446113
Garber	0.0446008
Gores	0.0444434
Meggett	0.0444169
GAGE	0.0442398
Syd	0.0442176
Sheedy	0.0441362
Bowles	0.0441146
Cynthia	0.043944
Greenwald	0.0438988
Baum	0.0438835
"Thomas L. Friedman"	0.0438192
Sara	0.0437785
Lindbergh	0.0435273
Lehrer	0.0435177
Sumaye	0.0434006
Ribbeck	0.0433485
Cianci	0.04312
Kassirer	0.0431105
"Maureen Dowd"	0.0430582
Munoz	0.043044
Rowling	0.042985
Conroy	0.0429179
Bingham	0.0428353
Galbraith	0.0425685
Jon	0.042429
Frankenheimer	0.0423822
abbey	0.0423625
"Pope John Paul"	0.0423111
Mellencamp	0.042301
Merritt	0.0422037
Claiborne	0.0421784
Updike	0.042131
McGowan	0.042127
Cyrus	0.0420586
Hawn	0.0419544
MAMET	0.041882
Katrina	0.041863
Yeats	0.0418202
Costin	0.0418087
Neil	0.0417667
Siskel	0.0417035
FDR	0.0416811
Durwood	0.0416773
Benjamin	0.0415832
Pugh	0.0415748
Bushnell	0.0414008
Heppner	0.0413171
Thoreau	0.0412576
Robb	0.0412261
Durant	0.0412118
Romar	0.0412029
Kirby	0.0411556
Kaczynski	0.0411373
Beauvoir	0.0411076
"Dos Santos"	0.0410886
Jayakumar	0.0410879
Cusack	0.0410379
Mattingly	0.0410376
Harrigan	0.0409293
Hester	0.040908
Cobain	0.0408895
Manners	0.0408852
Coughlin	0.0408378
Cory	0.0408128
Goethe	0.0407261
Nietzsche	0.0406816
Ghosn	0.0406631
Juncker	0.0406603
Peters	0.0406447
Gauthier	0.0405882
HELLER	0.0404462
Eggers	0.0402671
Rushdie	0.0402488
Thurber	0.040154
Ives	0.0401146
))
(Celia (desc 980.89) (sims
Vicki	0.0827702
Edmund	0.0820772
Ghalib	0.0797091
Babs	0.0795557
Bret	0.0782271
Georges	0.0760121
Bonnie	0.0694044
Cindy	0.0674639
"Wang Yeping"	0.0657071
Alberto	0.060617
Frances	0.0605929
"Azizah Ismail"	0.0605224
hazel	0.060106
Bam	0.0595023
Gorey	0.0583927
Kathryn	0.0569615
"Zhu Lin"	0.0557413
Audrey	0.0556188
Leto	0.0555776
Camille	0.0550315
Theresa	0.0543056
Cummins	0.0541261
Cherie	0.0534277
Esther	0.0523021
Irene	0.0514304
"Hurricane Dennis"	0.0514256
Wenger	0.0511444
Propulsid	0.0511042
"Aeneas Williams"	0.0508115
Fran	0.0501077
Harrer	0.0499129
Bertha	0.0494131
Cesar	0.0493569
Mitch	0.0490451
heatwave	0.0488619
Serna	0.0487091
Collymore	0.0485771
alicia	0.0484958
Debby	0.04832
Lalas	0.0482449
Alonso	0.048065
Batouty	0.0480168
Sheryl	0.0478587
"Arturs Irbe"	0.0477738
dredging	0.047713
waking	0.0476772
olestra	0.0470455
"Chris Gomez"	0.046573
Kohn	0.0464653
Zeb	0.0463213
Jose	0.046316
Phillip	0.0462889
McGuinness	0.0461871
Beth	0.0456508
Rothman	0.0455873
"Orlando Mercado"	0.0453192
"Hurricane Bonnie"	0.0451119
Wanda	0.0450253
Danielle	0.0446804
DeBerg	0.0444914
Connie	0.0442916
Golota	0.044173
Hadassah	0.0441176
baby-boomers	0.0440413
Modell	0.0437831
Tracey	0.0437165
Meares	0.043481
Lyn	0.0431736
Doris	0.0430063
Jeanne	0.042902
Agnes	0.0428714
Kathleen	0.0425478
Junger	0.042183
Brazile	0.0417948
"Carmen Electra"	0.0416507
dada	0.0415926
"Carolyn Bessette Kennedy"	0.0413999
"Ford Escort"	0.0412295
Akayesu	0.0410375
Juanita	0.0410358
Pauline	0.0409714
"Heather Locklear"	0.0407766
Lansky	0.0405273
Mapes	0.0404243
Aznar	0.0403563
"Kenyan shilling"	0.0402789
Lenny	0.0402011
Trixie	0.0400948
))
(celibacy (desc 4022.03) (sims
chastity	0.138917
monogamy	0.112847
abstinence	0.111109
euthanasia	0.0920143
polygamy	0.0911653
obedience	0.0799226
ordination	0.0777047
"birth control"	0.0773096
atheism	0.0749311
sterilization	0.0727115
homosexuality	0.0690984
conscription	0.0678528
cohabitation	0.0663782
promiscuity	0.0629942
labeling	0.0627069
amateurism	0.0570066
Contraception	0.0566405
nonviolence	0.0556794
"theory of evolution"	0.0548942
castration	0.053997
"common law"	0.0538855
bulimia	0.0532155
circumcision	0.0499268
"safety lock"	0.0496503
baptism	0.0493827
motherhood	0.0493675
"family planning"	0.0489558
morality	0.048779
frugality	0.0480451
witchcraft	0.0467909
Wicca	0.046552
remarriage	0.0462518
Vocation	0.0462455
serfdom	0.0451769
hygiene	0.0449938
fatherhood	0.0448389
workfare	0.0447798
selflessness	0.0447028
homelessness	0.0445594
"racial segregation"	0.0442696
confidentiality	0.0442489
self-discipline	0.0440665
"white supremacy"	0.0437028
infidelity	0.0435769
Torah	0.0433988
Miranda	0.0432302
segregation	0.0429081
"living wage"	0.0427066
volunteerism	0.042541
self-censorship	0.0423598
"majority rule"	0.0421981
homophobia	0.0421548
Stepinac	0.0418638
teamwork	0.04114
multiculturalism	0.0410653
cannibalism	0.0409901
Christianity	0.0408319
"Peaceful Coexistence"	0.0404061
proficiency	0.0402991
infallibility	0.0401363
))
(Celica (desc 1251.96) (sims
"Subaru Impreza"	0.289893
Corolla	0.248518
Polti	0.126354
Lotto	0.114427
Gan	0.110058
Reynard	0.101826
sz	0.0998236
Aprilia	0.0887729
"Didier Auriol"	0.0883801
"Mercatone Uno"	0.0866525
curling	0.0799805
Suzuki	0.0774263
Maxima	0.065194
DeVille	0.0627348
Vita	0.0611663
Yamaha	0.0589542
Cordoba	0.0588222
Avalon	0.0586865
GT	0.057931
tundra	0.0574017
Alero	0.0506954
Z@@	0.0499306
"Ford Focus"	0.0482255
mini-vans	0.0481685
slipcover	0.0458048
Thunderbird	0.0457448
pick-up	0.0452752
C@@	0.0451424
"welcome mat"	0.0443323
"Joseph Ralston"	0.0440828
Nicky	0.0439668
"Martti Ahtisaari"	0.0436099
Z@	0.0434366
"New Beetle"	0.0432077
"Fred Meyer"	0.0429856
Isaiah	0.0428831
"Ford Mustang"	0.0426617
Silverado	0.0406217
Camry	0.0400483
Charest	0.040036
))
("Celinda Lake" (desc 1510.36) (sims
"Frank Luntz"	0.291295
"Dick Morris"	0.153363
"Carter Eskew"	0.149651
"Paul Begala"	0.124536
"Karl Rove"	0.120299
"Dan Schnur"	0.116679
"Ralph Reed"	0.105955
"Jack Valenti"	0.105234
Squier	0.103405
"media consultant"	0.101482
"Bob Shrum"	0.0991748
"Mike Murphy"	0.0985873
pollster	0.0956398
"Michael Murphy"	0.0924988
"Jim Nicholson"	0.0913377
"Terry McAuliffe"	0.0902402
Fleischer	0.0869598
"James Carville"	0.0824196
ICM	0.080148
Talebi	0.0791796
Dougherty	0.0779117
"Abbe Lowell"	0.0748114
McGowan	0.0725459
Heinrichs	0.0712345
"Brian Cashman"	0.0711873
"administration official"	0.0695479
Finkel	0.069388
"Mark McKinnon"	0.0684223
"Karen Hughes"	0.0672254
"John Weaver"	0.0671191
Rubenstein	0.0671144
"Sheila Jackson Lee"	0.0668753
"Scott Harshbarger"	0.0655866
"Lee Atwater"	0.0651912
"campaign official"	0.0651272
Nickerson	0.065058
D'Alessandro	0.0640121
"Robert Torricelli"	0.0639691
"Russell Feingold"	0.0634798
Okada	0.0633354
Iglesias	0.0632782
Paxon	0.0615173
"Patrick Leahy"	0.0612693
"Tom Johnson"	0.0611983
Mustafa	0.0611531
"Joseph Biden"	0.0600467
Qu	0.0599684
Strauss-Kahn	0.0599055
"John Conyers"	0.0598972
Wilhelm	0.0595723
Weisman	0.0594981
Gogel	0.0592793
Guerra	0.0591813
"Joe Lockhart"	0.0591429
COYNE	0.058843
Reiner	0.0588331
Durant	0.0588136
"political scientist"	0.0585727
Hickman	0.0583721
Zwick	0.0579904
"De la Cruz"	0.0576346
Jacobsen	0.0576307
Brundtland	0.0574612
Passarella	0.0573953
"Bob Graham"	0.057344
Sobel	0.0572977
Jayakumar	0.0572768
"Tom Vilsack"	0.0572528
Valenti	0.0572174
Duffy	0.0571145
Lehane	0.0570592
Scelzi	0.0570363
Schmid	0.0567969
Rollins	0.0567653
Cowan	0.0567555
"Tom Harkin"	0.0567153
Solis	0.0564998
"Ron Wyden"	0.0561838
Ainge	0.0560759
"John Kerry"	0.0559805
Ertl	0.055803
Tanui	0.0557848
"David Smith"	0.0555535
"Paul Wellstone"	0.0550633
O'Reilly	0.0550201
Brandt	0.054644
Silverstein	0.0545167
Zuckerman	0.0544275
Weinberg	0.054345
Gauthier	0.0543157
assemblyman	0.054083
"Paul Patton"	0.0540626
Garces	0.053705
Shamshad	0.0535311
Kenyon	0.0534114
McLaughlin	0.0533927
Menard	0.0533507
Rahal	0.0532365
"Ernest Hollings"	0.0532228
Ferrer	0.0529458
Mercado	0.0528923
"Elliott Walden"	0.0528875
DiCicco	0.0527285
Poole	0.0527147
Setzer	0.052485
"Daniel Patrick Moynihan"	0.0523361
Hevesi	0.0522551
Siegel	0.052141
Penders	0.0521144
"Richard Mandella"	0.0520599
"Abby Joseph Cohen"	0.0520377
Biffle	0.0519214
"David Jones"	0.0519195
Prewitt	0.0517632
Molinari	0.0515978
Jaffe	0.0515314
"Charles Rangel"	0.051528
DiMaio	0.0513836
"campaign adviser"	0.051362
Mullen	0.0512755
"Charles Schumer"	0.0512323
alderman	0.0509832
O'Neil	0.0509281
Dempsey	0.0508897
Sahadi	0.0508459
Hahn	0.0508275
Heinze	0.0508059
"Dave Brown"	0.0507412
"John Smith"	0.0507216
"Chad Brown"	0.0506288
"Curt Weldon"	0.0505119
Hoch	0.0504876
Guan	0.0504102
Jovanovic	0.0503397
Malu	0.0503362
Ruehe	0.0501774
"Wang Daohan"	0.0501599
Segal	0.0501398
"de Charette"	0.0501073
"Lamar Smith"	0.0500507
Bergeron	0.0500347
"Richard Smith"	0.0498521
Bettman	0.0498478
Rosenthal	0.0498372
Mandelson	0.0497549
"Eliot Spitzer"	0.0495662
Andreychuk	0.0494526
Ebersol	0.0494255
Hunsicker	0.0493478
Moakley	0.0493333
Laudrup	0.0492859
"Edward Kennedy"	0.049244
Gossage	0.0491978
"Peter Lynch"	0.0491749
Blackwell	0.0491165
Moser	0.0491062
Wald	0.0490922
Hybl	0.0490171
"Ivan Kostov"	0.0489968
"Donna Shalala"	0.0489336
Gullikson	0.0488075
Azizah	0.048804
"Mike McCurry"	0.0487322
"House Majority Whip Tom DeLay"	0.0486637
beamer	0.0486494
Zeng	0.0486111
Triplett	0.0486003
Muckler	0.0485697
Gilmour	0.0484975
"Gene Sperling"	0.0484313
Newcombe	0.0483839
"Trace Armstrong"	0.0483293
Butterworth	0.0483084
Raitt	0.0482501
"Boris Nemtsov"	0.0480664
Weil	0.0480236
Meissner	0.0479978
Beilin	0.0479463
Azinger	0.0478621
Narayanan	0.0478284
Baum	0.0476964
Ganassi	0.0476003
Rau	0.0475567
Rutherford	0.0475131
Atwood	0.0475107
"Richard Riley"	0.0473965
lacy	0.0471365
Donato	0.0470584
towers	0.0470549
Insulza	0.0470532
Samuelson	0.0469641
Mahdi	0.046892
Barlow	0.0467756
Atler	0.0466594
Vogel	0.0463922
"Pedro Rossello"	0.0463766
Mckee	0.0463139
Bartley	0.0463107
Auriemma	0.0463007
"social scientist"	0.046202
))
(Celine (desc 2126.28) (sims
Givenchy	0.223762
Valentino	0.161188
"Christian Dior"	0.150488
"Louis Vuitton"	0.150381
Chanel	0.13251
HERMES	0.129886
"Christian Lacroix"	0.12075
"Yves Saint Laurent"	0.110618
Halston	0.0980961
Gucci	0.0962368
Dior	0.0958434
Prada	0.0940015
Burberry	0.0822105
Versace	0.0803991
Rolex	0.0802769
"Michael Kors"	0.0776608
kor	0.0742072
"Dolce &AMP; Gabbana"	0.073793
Fendi	0.0695781
Ferragamo	0.0659775
"J. Crew"	0.064821
Chloe	0.0647531
"Giorgio Armani"	0.0616223
"haute couture"	0.0591023
"Bill Blass"	0.0587117
corduroy	0.0575671
snakeskin	0.0566555
Armani	0.0549791
Johanna	0.0542604
"Donna Karan"	0.0537808
Robby	0.0523664
"Saint Laurent"	0.0506773
"John Galliano"	0.0504445
"John Bartlett"	0.0499949
"Ralph Lauren"	0.0490698
"Tom Ford"	0.0490045
suede	0.0474469
"Hello Kitty"	0.0468425
docker	0.0462263
nylon	0.0461448
DKNY	0.045796
"powder blue"	0.0444331
COUTURE	0.0433432
tartan	0.0417768
Gaultier	0.041345
"Helmut Lang"	0.040952
"Alexander McQueen"	0.0402558
))
("Celine Dion" (desc 7770.7) (sims
"Mariah Carey"	0.252996
"Whitney Houston"	0.237594
"Shania Twain"	0.22669
"Janet Jackson"	0.189103
"Britney Spears"	0.182546
"Backstreet Boys"	0.182177
"Elton John"	0.179357
"GLORIA ESTEFAN"	0.16885
"Toni Braxton"	0.167538
"Sheryl Crow"	0.167442
Cher	0.165213
"Billy Joel"	0.164807
"Tina Turner"	0.160785
"Mary J. Blige"	0.160739
"Ricky Martin"	0.160387
"Christina Aguilera"	0.157866
"Phil Collins"	0.156904
"Eric Clapton"	0.155561
"Lauryn Hill"	0.154551
Madonna	0.149789
"Aretha Franklin"	0.14859
"Dave Matthews Band"	0.142563
"Alanis Morissette"	0.141216
"Garth Brooks"	0.141187
"Dixie Chicks"	0.13862
"Andrea Bocelli"	0.137168
"Lenny Kravitz"	0.135791
"Faith Hill"	0.135688
"Jennifer Lopez"	0.135308
"Melissa Etheridge"	0.132696
"Barbra Streisand"	0.131767
"N Sync"	0.131168
TLC	0.124352
"George Strait"	0.123769
"Natalie Cole"	0.122971
"Stevie Wonder"	0.122081
"Diana Ross"	0.121288
"Michael Jackson"	0.118839
"George Michael"	0.117764
"Alan Jackson"	0.115927
"Wyclef Jean"	0.113039
Babyface	0.112807
"Sarah McLachlan"	0.111488
"Erykah Badu"	0.110317
Bjork	0.109186
"Michael Bolton"	0.10823
"Dave Matthews"	0.107908
"Frank Sinatra"	0.104499
"Spice Girls"	0.104071
"Bruce Springsteen"	0.103402
"Marc Anthony"	0.102861
"Bob Dylan"	0.1005
"Will Smith"	0.100223
"Beastie Boys"	0.0994189
"Puff Daddy"	0.0988822
"Trisha Yearwood"	0.0983946
"Rolling Stones"	0.0971364
"Paul McCartney"	0.0970159
"James Taylor"	0.0967495
"Luther Vandross"	0.09556
"Pearl Jam"	0.0953694
"LeAnn Rimes"	0.0935556
"Tony Bennett"	0.0934251
Dion	0.0911793
brandy	0.0900628
"Marvin Gaye"	0.0897642
"David Bowie"	0.0896892
Metallica	0.0886298
"Jimi Hendrix"	0.088574
"Boyz II Men"	0.0871
sting	0.0869008
Santana	0.0868119
U@	0.0860514
"Tim McGraw"	0.0854255
"Dolly Parton"	0.0844487
"Clint Black"	0.0842752
"Patti Smith"	0.0842461
"Jimmy Page"	0.0839286
"Jimmy Buffett"	0.0836107
"Elvis Costello"	0.0820505
"Audra McDonald"	0.0815131
"Bonnie Raitt"	0.0813057
"Linda Ronstadt"	0.0806303
Twain	0.0804059
"Carly Simon"	0.0803705
"B.B King"	0.0785667
Beatles	0.0784011
Bono	0.0780311
"Peter Gabriel"	0.07798
Eurythmics	0.077783
Aerosmith	0.0777598
jewel	0.0775296
"Smashing Pumpkins"	0.0773406
"Queen Latifah"	0.0771076
"Bob Marley"	0.0767281
"John Mellencamp"	0.0764267
"Randy Newman"	0.0758387
"Jo Dee Messina"	0.0753813
"Vince Gill"	0.0747127
"Rod Stewart"	0.0746438
"Willie Nelson"	0.074235
"Mick Jagger"	0.0741459
"Paul Simon"	0.0735502
"Rosie O'Donnell"	0.0732096
"Red Hot Chili Peppers"	0.0718994
"Reba McEntire"	0.0715989
"R. Kelly"	0.0714568
"Whoopi Goldberg"	0.0710725
"Macy Gray"	0.0710633
"Steely Dan"	0.0707393
"Brooke Shields"	0.0705848
"Julie Andrews"	0.0704832
"Neil Young"	0.0699938
Selena	0.0695537
"Jessye Norman"	0.0692696
"Pink Floyd"	0.0692371
"Limp Bizkit"	0.068793
Springsteen	0.0686616
"Van Halen"	0.0678669
"Emmylou Harris"	0.0677946
"Janis Joplin"	0.0677537
"Marilyn Manson"	0.0674507
"Placido Domingo"	0.0665748
"Ray Charles"	0.0664077
Jay-Z	0.0662825
"Diana Krall"	0.0658067
D'Angelo	0.0657479
"Leonardo DiCaprio"	0.0654958
"Lou Reed"	0.0652554
"Lyle Lovett"	0.0650328
"Vanessa Williams"	0.0641184
"Merle Haggard"	0.06405
"Joni Mitchell"	0.0637895
"Don Henley"	0.0637789
"Tom Jones"	0.0626752
Eminem	0.0626221
"Kid Rock"	0.0625794
Monkees	0.0624079
Bocelli	0.0620294
"Ruben Blades"	0.060728
"Rob Thomas"	0.0603793
"Luciano Pavarotti"	0.0598161
"Billie Holiday"	0.0594345
"Kirk Franklin"	0.0594122
"Barenaked Ladies"	0.0591939
"Goldie Hawn"	0.0588322
"Courtney Love"	0.0588278
"Tracy Chapman"	0.0587136
"Carlos Santana"	0.0585581
"Jon Bon Jovi"	0.0582765
"Bette Midler"	0.0582557
"James Brown"	0.0574645
"Mandy Patinkin"	0.0565927
"Josephine Baker"	0.0562278
Liberace	0.0559405
RuPaul	0.0550524
"Dwight Yoakam"	0.0547302
"Chris Gaines"	0.0547128
"Elvis Presley"	0.0542026
"Bing Crosby"	0.0537498
"Tom Waits"	0.0535569
"Drew Carey"	0.0533611
Supremes	0.0531281
"Boston Symphony"	0.0527945
"Richard Gere"	0.0527582
"Rupert Everett"	0.0525775
Sinatra	0.0524095
Hanson	0.0523761
"Johnny Cash"	0.052178
R.E.M	0.0518965
Donny	0.0518292
Dylan	0.051719
"Loretta Lynn"	0.050853
"Robin Williams"	0.0506275
Billie	0.0503503
"Black Sabbath"	0.050056
"George Jones"	0.0500461
"Gene Hackman"	0.0499506
AC/DC	0.0497391
"Dean Martin"	0.0496766
"Paul Newman"	0.0492269
Phish	0.048834
"Harrison Ford"	0.0485859
Beck	0.0481268
Coolio	0.0480356
"Chris Rock"	0.0475613
"Bill Cosby"	0.047479
Monica	0.0469816
Presley	0.0469779
"Renee Fleming"	0.046836
"Elizabeth Taylor"	0.0467855
"Bernadette Peters"	0.0466774
DMX	0.0466524
"Sonny Bono"	0.0463495
"Jack Nicholson"	0.0462682
Wynonna	0.0457041
"Kate Winslet"	0.0456538
"Jerry Seinfeld"	0.0455778
Dre	0.0451101
"Clint Eastwood"	0.0447338
))
(cell (desc 119002) (sims
tissue	0.212732
Gene	0.158562
"brain cell"	0.155721
"cancer cell"	0.14783
Embryo	0.137309
"nerve cell"	0.136635
protein	0.134178
"blood cell"	0.131763
tumor	0.130898
virus	0.128808
DNA	0.12755
neuron	0.126143
brain	0.124804
"bone marrow"	0.123503
organism	0.121105
organ	0.114084
bacteria	0.113663
molecule	0.111481
"blood vessel"	0.11139
enzyme	0.107384
mice	0.10622
liver	0.10441
receptor	0.103015
sperm	0.0987817
antibody	0.0975746
animal	0.0969817
blood	0.0959751
skin	0.0938257
egg	0.089633
cancer	0.0891008
kidney	0.0878189
human	0.0877113
plant	0.0869392
system	0.0860073
patient	0.085678
transplant	0.0853036
disease	0.0851423
hormone	0.0845643
specie	0.0844997
bone	0.0841115
HIV	0.0839485
body	0.0825619
Computer	0.0822525
device	0.0818743
chemical	0.0811918
material	0.0806617
lung	0.0804823
ovary	0.080018
nerve	0.0799685
room	0.0794812
transplantation	0.0789825
Vaccine	0.0772203
fetus	0.076968
infection	0.076818
substance	0.0767566
marrow	0.0763968
prison	0.0763953
muscle	0.0761181
chromosome	0.0759395
sample	0.0759226
toxin	0.07488
"nervous system"	0.0733753
worm	0.0730639
building	0.0720425
type	0.0718994
drug	0.0712423
microbe	0.0711741
implant	0.0711466
cage	0.071042
machine	0.0709222
bacterium	0.0702616
phone	0.0702584
bloodstream	0.0699599
heart	0.0687576
insect	0.0681589
structure	0.0680632
artery	0.0679364
jail	0.0676364
lesion	0.0674118
mutation	0.0669976
cornea	0.0668
cartilage	0.06674
therapy	0.0667319
parasite	0.0664117
particle	0.0663951
strain	0.0662712
chip	0.0662531
box	0.0661548
vehicle	0.0656903
classroom	0.0653485
function	0.0652822
compound	0.0649483
fungus	0.0649267
oxygen	0.0648406
product	0.0648403
"human being"	0.0644535
germ	0.0643931
apartment	0.06418
fiber	0.0640294
house	0.0638812
bathroom	0.0638622
cow	0.0635904
equipment	0.0634558
"human body"	0.0633494
tree	0.0632896
"AIDS virus"	0.0632134
unit	0.0631081
bedroom	0.0629833
Atom	0.0629686
area	0.0626531
people	0.0624224
facility	0.0623902
object	0.0622056
space	0.0621518
"lymph node"	0.061844
insulin	0.0617806
disorder	0.0617151
confinement	0.0616181
crop	0.0616075
prisoner	0.0615725
fat	0.0615189
rat	0.0614637
form	0.0613903
battery	0.061294
laboratory	0.0611297
water	0.0610926
variety	0.0610554
fish	0.0610494
car	0.0606355
software	0.0605946
genome	0.060408
semen	0.0603683
container	0.0602958
medicine	0.0602091
inmate	0.059979
bed	0.0597432
fragment	0.059653
monkey	0.0595014
technology	0.0594551
fluid	0.0593391
tube	0.0591668
abnormality	0.0589941
specimen	0.0589105
technique	0.0588382
meat	0.0587146
component	0.0584379
pig	0.0583819
food	0.0577267
nucleus	0.0575759
office	0.0575281
fossil	0.0574564
factory	0.057372
inflammation	0.0573552
population	0.0572556
energy	0.057247
basement	0.0572444
treatment	0.0572434
membrane	0.0571864
bug	0.0570707
chamber	0.0570163
valve	0.0569319
weapon	0.056929
soil	0.0569254
tank	0.0568441
bird	0.0567502
home	0.0565936
cluster	0.0565547
institution	0.0564441
offspring	0.056439
child	0.0564131
hospital	0.0562171
prostate	0.0561619
data	0.0559488
adult	0.0557848
life	0.0556967
pathogen	0.0556741
file	0.0556073
"cellular phone"	0.0555139
kind	0.0554621
individual	0.0553741
instrument	0.0553635
camera	0.0552362
"spinal cord"	0.0551119
courtroom	0.0551009
problem	0.0549993
layer	0.0549296
condition	0.0547658
person	0.0547198
cabin	0.0547138
cubicle	0.0546583
mechanism	0.0546388
culture	0.05463
pipe	0.0546138
urine	0.0545285
sheep	0.0544567
defect	0.0543247
clone	0.0542676
skull	0.054255
gas	0.054236
planet	0.0540169
))
(cellar (desc 16990.8) (sims
basement	0.163168
"bomb shelter"	0.107702
closet	0.099607
garage	0.0952789
bedroom	0.092548
cave	0.0849435
shed	0.0838715
attics	0.0822443
attic	0.0816645
"deposit box"	0.0816024
kitchen	0.0800339
bathroom	0.0786619
Warehouse	0.0779517
drawer	0.0772137
pantry	0.0755974
"storage room"	0.075437
freezer	0.0738632
"living room"	0.0732378
apartment	0.0720884
barn	0.0697816
cavern	0.0688157
tunnel	0.0672186
"dining room"	0.0657023
farmhouse	0.0650214
"back room"	0.0648888
vault	0.0647562
bunker	0.0645727
cupboard	0.0644039
gym	0.0625398
cabin	0.0617063
pit	0.0615023
courtyard	0.0613106
fridge	0.0613011
bathtub	0.0603115
cask	0.0598539
"bank vault"	0.059803
"vacant lot"	0.0591171
Alley	0.0587173
"family room"	0.0580712
stairwell	0.0580297
hallway	0.0579725
classroom	0.057778
doldrums	0.0576829
"storage area"	0.0576459
compartment	0.0574897
refrigerator	0.0574531
Bin	0.0566789
ditch	0.0564919
parlor	0.056444
shelter	0.0564426
gymnasium	0.056275
cubicle	0.0562551
storeroom	0.0561102
cage	0.0557785
"front yard"	0.0557048
patio	0.0556135
morgue	0.0555101
storage	0.0551781
hangar	0.0549431
garden	0.0548771
library	0.0548252
enclosure	0.0541674
toilet	0.0539461
cafe	0.0534012
Dumpster	0.0532987
den	0.0531504
bed	0.0529969
bowel	0.0528854
trailer	0.0528312
loft	0.0526137
jar	0.0522655
Vineyard	0.0520268
lounge	0.0520265
"dressing room"	0.0513983
foyer	0.0509269
showroom	0.0508592
driveway	0.0506
restroom	0.05041
"back yard"	0.0501926
cemetery	0.0501795
alcove	0.0501468
archive	0.0498066
locker	0.0496263
seclusion	0.049608
dwelling	0.0495683
ravine	0.0494721
obscurity	0.0493474
trunk	0.0492409
yard	0.0491959
"mobile home"	0.048841
"locker room"	0.0485416
motel	0.0482311
"water tank"	0.0482276
"waiting room"	0.0481489
cistern	0.0479687
"parking lot"	0.0479266
tub	0.0478866
rubble	0.0478045
Rut	0.0476323
valley	0.047544
shack	0.0474245
silo	0.0474109
dugout	0.0471643
passageway	0.0471554
Monastery	0.0470961
"hotel room"	0.0470003
trench	0.0467542
tomb	0.0467212
backyard	0.0465285
"swimming pool"	0.0463813
"duffel bag"	0.0463272
"dorm room"	0.0462802
"garbage can"	0.0462286
auditorium	0.0462054
bookcase	0.0460579
orchard	0.0459028
barrack	0.0458853
vestibule	0.0458745
outhouse	0.0457645
container	0.0455995
Chateau	0.0454722
tent	0.0453451
aquarium	0.0453079
doorway	0.0452717
"ground floor"	0.0451107
hut	0.0450282
winery	0.0449095
porch	0.0448623
chapel	0.044677
terrace	0.0445827
laboratory	0.044519
gallery	0.0444976
barrel	0.0443642
clubhouse	0.0442705
sewer	0.0442563
"master bedroom"	0.0442449
"conference room"	0.0441498
"wine cellar"	0.0441186
shaft	0.0439776
"first floor"	0.0438412
cottage	0.0437628
courtroom	0.0437519
pipe	0.0436884
mansion	0.0433022
nest	0.0432502
mailbox	0.0431823
ballroom	0.043147
crib	0.0431089
jungle	0.0429214
elevator	0.0428913
crate	0.0428733
shanty	0.0424714
greenhouse	0.0424351
"ranch house"	0.0422718
dungeon	0.0421842
dorm	0.0420788
"front porch"	0.0420638
pub	0.0419279
synagogue	0.0418727
cockpit	0.0417388
Grave	0.0417333
"prison cell"	0.0416828
bath	0.0413874
"storage tank"	0.0413462
oven	0.0412928
dormitory	0.0412613
VAT	0.0411391
mausoleum	0.0410223
atrium	0.0409787
van	0.0407618
balcony	0.0407412
latrine	0.0405377
"holding cell"	0.0405324
"jail cell"	0.0404275
cafeteria	0.040179
suite	0.040164
Castle	0.0401211
pond	0.0401124
sanctuary	0.0400709
))
(cellblock (desc 2160.18) (sims
"jail cell"	0.0799708
"city block"	0.0731726
walk-up	0.068828
Xin	0.0684611
"holding cell"	0.0682391
"prison cell"	0.0662778
cubicle	0.0649537
"major league season"	0.064307
dormitory	0.0631453
hangar	0.0609493
chapel	0.0586992
silo	0.0583171
dorm	0.0575719
sarcophagus	0.056553
"dance hall"	0.0555181
gymnasium	0.0552205
singer-songwriters	0.0551325
Colosseum	0.0542875
nightspot	0.0539391
"fire escape"	0.0538592
kennel	0.0536026
penitentiary	0.0535666
"display case"	0.0530013
"chicken coop"	0.0523701
"conference room"	0.0523228
townhouse	0.0520413
penthouse	0.0520324
compartment	0.0510424
"Airbus @@@"	0.0502941
"patrol car"	0.0494317
kiln	0.0494066
birdbath	0.0491927
"wage scale"	0.0488641
brownstone	0.0479516
"cargo area"	0.047898
great-grandchildren	0.04765
sloop	0.0475015
atrium	0.0473537
"squad car"	0.0472733
"watering hole"	0.0472023
"hospital room"	0.0471247
schoolhouse	0.047121
"apartment house"	0.046847
Icebox	0.0466634
quarterfinalists	0.0466106
"mobile home"	0.0465408
lockup	0.0463705
cavern	0.0462669
"observation post"	0.0458239
"state prison"	0.0457971
bungalow	0.0454233
"place of worship"	0.0450483
"men's room"	0.0449523
"town house"	0.0448869
Buss	0.0445912
incubator	0.0441459
cupboard	0.0440955
"waiting room"	0.0440441
semicircle	0.0440238
"mechanical device"	0.0439898
duplex	0.0439497
"movie house"	0.0439034
meccas	0.043858
hovel	0.0438573
"gambling casino"	0.0437198
"master bedroom"	0.0435775
concourse	0.0432491
"town hall"	0.0431699
"blast furnace"	0.0430748
"chocolate mousse"	0.0430405
"rooming house"	0.0429793
rotunda	0.0427445
"Convention Center"	0.0427364
nightspots	0.0426457
docket	0.0425813
cellmate	0.0425489
Christmases	0.0424465
crewmates	0.0424222
skydiver	0.0422905
"dinner plate"	0.0421502
"carriage house"	0.042086
pallbearer	0.0419312
"written language"	0.0416681
crewmembers	0.0415809
bordello	0.0414324
hulk	0.0414308
"three schools"	0.0414161
"hole in the ground"	0.0413748
"storage room"	0.0412903
deadend	0.0411514
alcove	0.0410622
saber	0.041008
"dorm room"	0.0408509
starts.	0.0406127
sketchbook	0.0405947
outhouse	0.0405919
vestibule	0.040474
patio	0.0404108
skybox	0.0404
"vacant lot"	0.0403701
flapping	0.0402788
"deposit box"	0.0402678
submersible	0.0401206
restroom	0.0400749
"row house"	0.0400422
rowboat	0.0400042
))
(cellist (desc 4937.01) (sims
violinist	0.179132
flutist	0.158129
pianist	0.154363
clarinetist	0.121561
conductor	0.118423
concertmaster	0.117429
instrumentalist	0.114142
"chess player"	0.100674
musician	0.0985561
guitarist	0.0965105
organist	0.0938882
"character actor"	0.0928643
trumpeter	0.0917366
saxophonist	0.0874722
"opera star"	0.0869285
percussionist	0.0857555
nobleman	0.0850397
composer	0.0835791
"music director"	0.0832192
arranger	0.0825547
"young lady"	0.0819844
ballerina	0.0811536
mathematician	0.0806975
soloist	0.0793763
"ballet dancer"	0.0785643
"jazz musician"	0.0780273
painter	0.0772516
"Itzhak Perlman"	0.0770669
bullfighter	0.0761222
vocalist	0.0761096
"fashion designer"	0.0758701
novelist	0.0756567
singer	0.0746264
naturalist	0.0744805
dancer	0.073236
"belly dancer"	0.0730093
poet	0.0725161
tenor	0.0724543
folklorist	0.0722727
drummer	0.0719927
courtesan	0.0711293
sculptor	0.0710367
songwriter	0.0709973
"art historian"	0.0704736
psychoanalyst	0.0704381
Jacqueline	0.0698249
musicologist	0.0695612
bassist	0.0690852
acrobat	0.0689856
"stage director"	0.0679707
jurist	0.0663698
"man of letters"	0.0658411
lyricist	0.0658066
dramatist	0.0657783
"guitar player"	0.065657
choreographer	0.0649786
triathlete	0.0648234
"landscape architect"	0.064744
actress	0.0641377
singer-songwriter	0.0641226
Playwright	0.0640848
vaulter	0.0636708
balloonist	0.0635686
cabinetmaker	0.0634066
"volleyball player"	0.063285
satirist	0.0632152
"young actress"	0.0625814
footballer	0.0620474
cartoonist	0.06178
baritone	0.0617617
botanist	0.0614907
miler	0.0614664
raconteur	0.061398
barrister	0.0610411
philosopher	0.060982
Hilary	0.0608491
"folk singer"	0.0605607
illustrator	0.0599015
"movie star"	0.0593815
clarinet	0.0593756
stylist	0.0593697
statesmen	0.0587824
portraitist	0.0587508
crooner	0.0585928
stallion	0.058445
physicist	0.0584043
geologist	0.0583732
chef	0.058128
"leading lady"	0.0578596
virtuoso	0.0578341
marathoner	0.0577774
triathletes	0.0576698
stuntman	0.0575312
adventurer	0.0572366
divorcee	0.0568844
singer-songwriters	0.0567481
calligrapher	0.0567162
ornithologist	0.056655
pre	0.05643
yachtsman	0.0562628
entertainer	0.0561857
"jazz band"	0.0561289
thespian	0.0558748
"foreign service officer"	0.055811
"hockey player"	0.0558036
bagpiper	0.0557569
blacksmith	0.0557489
violin	0.0556918
mezzo-soprano	0.0556622
"disc jockey"	0.0554327
deejays	0.0554305
seamstress	0.0554068
filmmaker	0.0552305
"TV reporter"	0.0551699
homemaker	0.0551011
curmudgeon	0.0550873
magician	0.0549957
medic	0.0548778
temptress	0.054777
"registered nurse"	0.0544841
juggler	0.0543815
lass	0.0543199
screenwriter	0.0543121
aristocrat	0.0541666
"television star"	0.0541199
innovator	0.0541167
beautician	0.0541024
statesman	0.0539863
rappers	0.0538704
"traveling salesman"	0.0537993
supermodel	0.0536959
Litigator	0.0535356
chronicler	0.0535079
newspaperman	0.0534823
"baseball player"	0.0534734
orchestra	0.0534045
"civil engineer"	0.0533739
metropolises	0.0531626
"race horse"	0.0531441
comedian	0.0528354
"bicycle race"	0.0528061
"basketball player"	0.0527418
bodybuilder	0.0527327
mountaineer	0.0525798
"interior designer"	0.0521595
"eye doctor"	0.0520635
"rock star"	0.0520046
"sea captain"	0.0517889
lexicographer	0.0516322
sleuth	0.0515952
"piano player"	0.0515142
filmmakers	0.0515089
decorator	0.0514424
photographer	0.051218
craftsman	0.0509822
housewife	0.0509698
auctioneer	0.0509031
Bostonian	0.0507752
Englishman	0.0506898
chemist	0.0506477
"tennis player"	0.0505958
rapper	0.0505812
skater	0.050557
DJ	0.0503159
picker	0.0501699
thoroughbred	0.0501337
jeweler	0.050125
blonde	0.0500843
ballplayer	0.0499293
transvestite	0.0498729
animators	0.0496845
boxer	0.0496828
"bon vivant"	0.0496497
"rock band"	0.0495767
communicator	0.0495751
shipbuilder	0.0495418
Aria	0.0495128
closers	0.0494347
educationist	0.0493089
"electrical engineer"	0.0492994
potter	0.0492893
paleontologist	0.0492213
"fashion model"	0.0490559
racer	0.0489559
gymnast	0.0488415
translator	0.0488405
"two pitchers"	0.0488309
"important person"	0.0487149
Englishwoman	0.048658
Scot	0.0485457
cardiologist	0.0485289
schoolteacher	0.0484711
"film maker"	0.0484596
"school teacher"	0.048456
"symphony orchestra"	0.0481245
sportswriter	0.048088
celebrant	0.0480641
"art dealer"	0.0480276
endorser	0.0479805
geisha	0.0479167
))
(cellmate (desc 941.579) (sims
bandmates	0.10864
"work camp"	0.105335
"Matthew Eappen"	0.0979508
crewman	0.0969829
"Lawrence Russell Brewer"	0.0955604
stuntman	0.094588
shipmate	0.0913474
"police sergeant"	0.0888279
JonBenet	0.0853072
Gerardi	0.0826913
"repertory company"	0.0783901
housemates	0.0782736
infirmary	0.0778266
warden	0.0733814
Bellush	0.0729098
Sund	0.0729008
"John William King"	0.0726042
cohort	0.0725771
"altar boy"	0.0714734
"Mark Tuinei"	0.0709576
Highness	0.0698002
"Martha Moxley"	0.0695297
escapee	0.0684458
ex-girlfriend	0.0670676
"Dave Johnson"	0.0659477
Winchell	0.0658978
tribesman	0.0656205
"police lieutenant"	0.064943
serviceman	0.0645113
highflier	0.0644321
"department employee"	0.0638892
"letter carrier"	0.0636825
"Secretary of Commerce"	0.0636711
grandkids	0.0632985
"septic tank"	0.0630474
stepdaughter	0.0630035
Confederate	0.062686
Ganga	0.0624389
Moxley	0.0622554
TORTURER	0.0618488
straitjacket	0.0616561
Copt	0.061213
Postmaster	0.0600911
mother-in-law	0.0600248
jumpsuit	0.0597009
crewmates	0.0595667
kayaker	0.0595316
"fellow worker"	0.0590584
denture	0.0588672
"Trent Green"	0.0586242
nunnery	0.058573
father-in-law	0.0585706
"Phil Simms"	0.0584188
electability	0.0582886
co-defendants	0.0580656
skiff	0.0578318
"sparring partner"	0.0575506
non-Serbs	0.0574571
Hoke	0.0574315
PDA	0.0572691
"Boutros Boutros Ghali"	0.0572687
"second person"	0.0572095
housemate	0.0569729
"department head"	0.0567858
"Noboru Takeshita"	0.0567248
canteen	0.0566917
Halloran	0.0566826
airman	0.0565138
"medical exam"	0.0565024
toolbox	0.0563919
Beatle	0.0563732
"Jeep Cherokee"	0.0560056
militiaman	0.0559313
motorcyclist	0.0558877
alderman	0.0558153
"police captain"	0.0556295
"female body"	0.0556072
interviewee	0.055583
"science teacher"	0.0553235
daughter-in-law	0.0550448
"bond trader"	0.0549929
"foster mother"	0.054837
Meston	0.0547818
"deputy sheriff"	0.05475
"Jarious Jackson"	0.0545697
schoolmate	0.0543165
"Rajiv Gandhi"	0.0542801
"political dissident"	0.0538701
Reimer	0.0535667
fiance	0.0535214
"union representative"	0.0535067
"game warden"	0.0534433
"rock climber"	0.0532854
"big leaguer"	0.053246
airmen	0.0532069
"Camilla Parker Bowles"	0.0529504
"law partner"	0.0526665
"I.K Gujral"	0.0526234
"recreation room"	0.0525777
Nivel	0.0525517
"pen pal"	0.0525442
"Todd Husak"	0.0525236
hairstylist	0.0524739
"Carole Sund"	0.0522779
Centerfold	0.0522607
"leading lady"	0.0519041
empress	0.0518756
bride-to-be	0.0518003
Konstantinov	0.0517346
fiancee	0.0516809
"political detainee"	0.0516461
"opera star"	0.0516295
"Briton Greg Rusedski"	0.051597
"Victor Chernomyrdin"	0.0514553
Kabariti	0.0514505
telemarketer	0.0514452
recidivism	0.0514345
"Dan Morales"	0.05142
Costin	0.0513829
"Tansu Ciller"	0.0512952
Esposito	0.0510748
"Straight Talk Express"	0.0510572
"Fernando Henrique Cardoso"	0.0509758
Trantino	0.0509132
"Dave Brown"	0.0508782
"partner in crime"	0.0508769
chum	0.0508185
"Glenn Foley"	0.0507495
"mind's eye"	0.0504609
parachutist	0.0504423
Randall	0.0503272
Silverman	0.0502945
fave	0.0502076
Bostonian	0.0501312
"Egyptian Middle East News Agency"	0.0501128
"Kamal Kharrazi"	0.0500721
LeBlanc	0.050024
"little leaguer"	0.0499745
"Doak Walker"	0.0498109
"Lamberto Dini"	0.0496236
Laudor	0.0496221
"intelligence analyst"	0.0494553
"Johnny Oates"	0.0493606
Hatfield	0.0493215
paramour	0.0493052
scoutmaster	0.049185
"love child"	0.0491049
astrologer	0.048959
Shareh	0.0489187
scriptwriter	0.0488936
Krstic	0.0488678
co	0.0488584
Proctor	0.0488207
major-leaguers	0.0488166
"seventh homer"	0.0487613
storyboards	0.0487335
roofer	0.0487008
Raznatovic	0.048649
"Paul Justin"	0.0486171
"machine shop"	0.0485894
Binion	0.0483662
"Reggie Lewis"	0.0483419
"Ryan Kealy"	0.0482605
fatigues	0.0482538
"Gulbuddin Hekmatyar"	0.0481981
watchman	0.0481329
"Laurent Fabius"	0.0481286
"shower stall"	0.0481153
stepson	0.0481131
"Nicole Brown Simpson"	0.0480673
"fellow traveler"	0.0480126
"NBA All-Star"	0.0478013
"Bobby Phills"	0.047625
Broaddrick	0.0475719
"volleyball player"	0.0475619
"Kevin Elster"	0.0473938
patrolman	0.0473852
"little finger"	0.0473698
eardrum	0.0472794
claimer	0.0472695
ghostwriter	0.0472607
Panchen	0.0472516
underling	0.0471947
"Joseph Estrada"	0.0471227
Alves	0.0471068
"Ung Huot"	0.0470894
"Black Panther"	0.0470703
G@@	0.0470291
Uruguayan	0.0469969
"Bob Bullock"	0.0468164
Momma	0.0466696
"Robin Cook"	0.0466092
"hockey coach"	0.0465926
Cindy	0.0465687
"Labrador retriever"	0.0465596
"Walter Payton"	0.0465451
mailman	0.0465129
triceps	0.0464965
hairdresser	0.0463869
weatherman	0.0463595
))
(cello (desc 7936.5) (sims
clarinet	0.29674
violin	0.253218
Flute	0.24253
oboe	0.207615
trombone	0.191326
saxophone	0.188774
"French horn"	0.188469
piano	0.181604
trumpet	0.172027
harp	0.171956
harpsichord	0.164092
mandolin	0.161752
guitar	0.161082
harmonica	0.159719
tuba	0.13923
Viola	0.137861
percussion	0.135142
"acoustic guitar"	0.132459
fiddle	0.128553
woodwind	0.116741
accordion	0.113966
"string quartet"	0.10474
banjo	0.104242
"electric guitar"	0.103734
Sax	0.0938446
drum	0.0925587
bagpipe	0.0859567
Bass	0.0834191
lute	0.0824002
orchestra	0.0815077
keyboard	0.0790745
concerto	0.0789914
instrument	0.0763176
cymbal	0.0756164
"musical instrument"	0.0720539
"chamber orchestra"	0.0703413
soloist	0.0675965
"steel guitar"	0.0658435
Horn	0.0622958
Trumpets	0.0606735
baritone	0.0604605
sonata	0.0591585
acoustic	0.0581362
Chopin	0.0577651
chorus	0.0576902
choir	0.0563911
composition	0.0561535
conducting	0.0557902
Bach	0.0546802
clarinetist	0.0539119
ensemble	0.0535022
Marimba	0.0523456
Chime	0.0517733
Haydn	0.0513043
dulcimer	0.0511717
cantata	0.0509189
synthesizer	0.0503911
Brahms	0.0502663
soprano	0.0497921
"Vienna Philharmonic"	0.0488623
ballet	0.0488492
solo	0.048652
vocals	0.0480164
turntable	0.0475987
flutist	0.0472515
Tabla	0.0470968
cellist	0.0457439
symphony	0.0454092
"chamber music"	0.0449432
Mozart	0.0447475
synthesizers	0.0446017
Chorale	0.0444782
"jazz band"	0.0425058
composing	0.0421913
Beethoven	0.0420033
"hockey stick"	0.0419811
Bongo	0.0415665
quintet	0.0412047
"classical music"	0.0404453
singing	0.0401158
"rhythm section"	0.04007
))
(cellophane (desc 1674.76) (sims
cheesecloth	0.129968
Mylar	0.128324
burlap	0.11176
gauze	0.111382
"plastic wrap"	0.106852
Teflon	0.102423
phyllo	0.0990864
"aluminum foil"	0.0914416
"tissue paper"	0.0858949
foam	0.0802392
cardboard	0.0799482
"wrapping paper"	0.0784486
parchment	0.0776336
"wax paper"	0.0769219
linen	0.0762926
"paper bag"	0.0755404
velvet	0.0719868
gingham	0.0702738
"bowling ball"	0.0692084
spaetzle	0.0688291
tulle	0.0685929
"prayer shawl"	0.0682233
vinyl	0.0674258
"spring roll"	0.0654543
velcro	0.0648341
organza	0.0625283
nylon	0.0616013
carry-on	0.061466
drywall	0.0600393
"potato chip"	0.0569038
wrapper	0.056727
seaweed	0.0566955
tortilla	0.0566519
"M&AMP;M"	0.0565806
buckwheat	0.0563273
"candy bar"	0.0562532
"fortune cookie"	0.0561952
raincoat	0.0554814
Plexiglas	0.0548453
"synthetic fiber"	0.0547342
dumpling	0.0536383
cellulose	0.0534163
linoleum	0.0523833
"portable computer"	0.0515585
"slip of paper"	0.0515394
comforter	0.0515107
shawl	0.05125
tartan	0.0511436
duct	0.0509922
pashmina	0.0508515
snakeskin	0.0502666
Kleenex	0.0500222
yolk	0.0498932
Plywood	0.0497264
"bubble gum"	0.0491711
bunting	0.048848
wasabi	0.0486816
overcoat	0.0484054
lacquer	0.048389
resin	0.0481425
roofing	0.0471964
macaroni	0.0471119
acrylic	0.0463378
frontrunners	0.0458718
oil-for-food	0.0456529
ketchup	0.0454036
turquoise	0.045386
clingy	0.0451571
drawstring	0.045051
titanium	0.0449622
catheter	0.0449307
suede	0.0448684
plantain	0.0446595
"sense of direction"	0.0442793
"green onion"	0.0442583
wallboard	0.043676
sarong	0.0429502
"shopping bag"	0.0423366
baguette	0.0423281
chiffon	0.0422995
packing	0.0421584
DAT	0.0420811
Poncho	0.0420365
blubber	0.041932
flooring	0.0418959
"bear hug"	0.0417956
VHS	0.0416256
goo	0.0413492
armband	0.041129
tubing	0.0410868
inkjet	0.0410673
polyethylene	0.0406499
zinnia	0.0404424
polypropylene	0.0401453
))
(cellphone (desc 1776.46) (sims
"cellular telephone"	0.144479
"wireless telephone"	0.118617
pager	0.106868
"cellular phone"	0.104067
walkie-talkie	0.0961309
forklift	0.0909996
beeper	0.0897309
E-ZPass	0.0857585
Internet-based	0.084743
"kerosene lamp"	0.0841265
"data communication"	0.0803751
"bank card"	0.078204
IDD	0.0750719
"tape recorder"	0.0741493
WebTV	0.0735023
snowplow	0.0716674
GPS	0.0715197
"morse code"	0.0700101
WAP	0.0688984
"sewing machine"	0.0686802
small-business	0.0686303
camcorder	0.066927
videophone	0.0667689
doorbell	0.0667688
DSL	0.0662783
"Palm VII"	0.0658283
paintbrush	0.0657491
"consumer product"	0.0656063
pushcart	0.0651601
vending	0.0643671
pan-European	0.0643246
watercraft	0.0641035
headset	0.0640991
"caller ID"	0.0640158
"beach towel"	0.063931
"septic tank"	0.0633933
carbine	0.0633189
"tape player"	0.0611369
"cable television"	0.0600696
silencer	0.0600537
"charge card"	0.0599513
"Palm Pilot"	0.0595844
"hockey stick"	0.0594179
"test equipment"	0.059276
"computer system"	0.0588724
revolver	0.0586394
"laser printer"	0.0585431
seatbelt	0.0583288
crotch	0.0581914
CDMA	0.0580746
"Honda Civic"	0.0580309
"fiber optics"	0.0578152
GSM	0.0576755
"Border collie"	0.0576267
"global positioning system"	0.0566818
ATHOME	0.0565617
reagent	0.0561326
"submachine gun"	0.0560905
Propulsid	0.0559874
Walkman	0.0558936
inhaler	0.055777
analogue	0.0556254
IC	0.0554828
hand-me-down	0.0553947
backpack	0.0552604
leasing	0.0550677
MSN	0.0550142
Gnutella	0.054999
flashlight	0.0549871
"specialty chemical"	0.0549508
copier	0.0549048
briefcase	0.0546802
hGH	0.0545881
ICQ	0.0545308
"tin can"	0.0540792
satchel	0.0539913
"alarm clock"	0.0537903
broadband	0.053453
"wedding ring"	0.0531998
transponder	0.053143
personalization	0.0528309
"closed circuit"	0.0524921
escrow	0.0523822
holster	0.0523186
"sleeping bag"	0.0522981
"sawed-off shotgun"	0.0522931
"automatic rifle"	0.0521201
ISP	0.0517437
remotes	0.0515981
beepers	0.0514863
Telecoms	0.0514017
handbag	0.0513545
"laptop computer"	0.0510305
trowel	0.0510151
telemedicine	0.0508415
sawmill	0.0507518
"extension cord"	0.0506767
"calling card"	0.0504336
"Universal Serial Bus"	0.0504154
telephony	0.0503956
Microelectronics	0.0501619
WordPerfect	0.0500467
"mainframe computer"	0.0497258
sonar	0.0497069
meth	0.0495792
rosary	0.0494407
"public transit"	0.0493891
hovercraft	0.0493731
"CD player"	0.0492743
"consumer credit"	0.049258
"public transport"	0.0490685
one-to-one	0.0490054
"Land Rover"	0.0484977
BLUETOOTH	0.0484293
bullhorn	0.0482585
ISDN	0.0482354
"Toyota Corolla"	0.0479822
Roadrunner	0.0478713
ADSL	0.047794
DirecTV	0.047743
asp	0.0475766
scooter	0.0475607
videogame	0.0472717
"penny stock"	0.0471869
cellphones	0.0471139
"water heater"	0.0470637
"Sprint PCS"	0.0469399
snowmobile	0.0465407
"Microsoft Network"	0.0464189
backhoe	0.0463739
"oil lamp"	0.0463449
"fly rod"	0.0462727
PDA	0.0460169
pocketbook	0.0460098
"local call"	0.0459667
analog	0.0459646
"dog tag"	0.0458183
typewriter	0.0458068
binocular	0.0457683
"chain saw"	0.0456045
AGL	0.045588
slingshot	0.0455457
telemarketing	0.0454157
quadriplegic	0.0454
CitySearch	0.0453001
HDTV	0.0451398
im	0.0449671
"walking stick"	0.0448477
Kleenex	0.0447692
defibrillator	0.0447507
"cash machine"	0.0446838
"high frequency"	0.0446469
crosswalk	0.0445039
SOS	0.0441629
pH	0.0441448
"car seat"	0.0440859
"fellow traveler"	0.043868
"hand grenade"	0.0437757
"fire alarm"	0.0436957
"snack food"	0.0435872
motorbike	0.0435002
orthodontist	0.0434282
PalmPilot	0.0433885
Webcam	0.0432597
Hotmail	0.0432272
"fishing rod"	0.0430792
reinsurance	0.0430619
Morse	0.0429767
afterburner	0.042914
filtering	0.0428922
"hair spray"	0.0428083
screwdriver	0.0428072
RCN	0.0427322
forwarding	0.0427285
"radio wave"	0.0426624
bayonet	0.042603
"fiber optic cable"	0.0425412
tripod	0.0424832
"life jacket"	0.0424096
"shopping bag"	0.0422593
"seat belt"	0.0422355
antsy	0.0421559
non-American	0.0421176
"computer graphics"	0.0421126
childcare	0.0420678
Netcenter	0.042062
"fire hose"	0.0419771
"consumer electronics"	0.0418866
"electronic mail"	0.0418708
CompuServe	0.0418681
"greeting card"	0.0418397
"point system"	0.0417718
tarpaulin	0.0417421
"candy bar"	0.0415786
endoscope	0.0415282
"hypodermic needle"	0.0414695
Eudora	0.0414431
"Palm III"	0.0414067
"funeral home"	0.0413056
"stage name"	0.0412198
))
(cellphones (desc 1092.79) (sims
beepers	0.124529
"cellular phone"	0.119757
"electrical device"	0.116368
"satellite receiver"	0.11618
"Palm Pilots"	0.111661
pagers	0.105033
"cellular telephone"	0.104006
camcorders	0.0967958
"laser printer"	0.0953079
"water filter"	0.0940166
"electronic device"	0.0908939
"fax machine"	0.0888511
"portable computer"	0.0826845
"car insurance"	0.0814668
"telephone set"	0.0809502
"Palm Pilot"	0.0803459
"Palm III"	0.0765861
handhelds	0.0724405
"laptop computer"	0.0709147
intranets	0.0701318
Ricart	0.069028
"telephone system"	0.0668854
"automatic teller machine"	0.0657687
Hummer	0.0651509
double-click	0.0628862
"software system"	0.0627133
"electronic equipment"	0.0623323
"communications equipment"	0.0612439
"communications technology"	0.0611907
sparkler	0.0611576
"radio transmitter"	0.0611193
masher	0.0608355
photocopier	0.0598598
"solar wind"	0.0598567
"tape recorder"	0.0595354
hit-and-run	0.058118
intercom	0.0580307
satchel	0.0578745
gizmo	0.0575489
knapsack	0.0567326
"communication system"	0.0564608
handset	0.0562674
stopwatch	0.0561305
"telecommunication system"	0.0555419
e-BOOKS	0.0548739
"price competition"	0.05426
PDA	0.0541394
"key ring"	0.0541032
"exercise equipment"	0.0527228
camcorder	0.0526284
stapler	0.0517783
videogames	0.0508161
bullhorn	0.0504166
clipboard	0.0501027
"telephone network"	0.0500309
"computer equipment"	0.0499132
camerawork	0.0492727
"phone system"	0.0490778
workstation	0.0489062
"paper cup"	0.0488423
"coffee cup"	0.0487032
"electronic mail"	0.0484829
desktops	0.0483246
"storage device"	0.0482627
"data processing"	0.0474213
"hand-held computer"	0.0473045
cellphone	0.0471139
nightstick	0.0465979
sprayer	0.0463308
spotter	0.0461151
diskette	0.0458862
"electric mixer"	0.0457315
"power tool"	0.0449834
Buicks	0.0445865
"office furniture"	0.0445501
cooker	0.0444891
microcomputer	0.0440828
"beam of light"	0.0439159
joiner	0.0436911
"machine tool"	0.043518
"Disney Channel"	0.0433411
"Port Klang"	0.0431848
shredder	0.043122
"Palm VII"	0.042953
inhaler	0.0429112
stethoscope	0.0428874
beeper	0.0427609
"fountain pen"	0.0425798
"septic tank"	0.0421214
myeloma	0.0419813
intranet	0.0418249
mixer	0.04177
"space heater"	0.0411938
mockup	0.0411592
GPS	0.0410063
mainframe	0.04093
"hockey stick"	0.0408936
"Digital Equipment"	0.0408658
silencer	0.0408563
Rolodex	0.0406776
"kerosene lamp"	0.0406574
pliers	0.0406529
synthesizers	0.0405441
gadgetry	0.0403687
))
(CellPro (desc 1415.83) (sims
Lilco	0.139369
TKT	0.130116
Toysmart	0.118304
"Thermo Electron"	0.113175
Warnaco	0.109136
Medtronic	0.10797
"KCP&AMP;L"	0.106528
COLTEC	0.0927877
Cerent	0.0897881
Livent	0.0895761
Ciena	0.088605
Callaway	0.0882475
Intergraph	0.0878037
Sogo	0.0871867
"Food Lion"	0.0857101
RJR	0.0850067
Broadcom	0.0829497
Seagate	0.0812668
RIAA	0.0811769
"National Grid"	0.0811555
Gillette	0.0803978
HP	0.0798087
Drexel	0.07857
GoTo.com	0.0777862
Cendant	0.0768508
"Dow Corning"	0.0757416
Gitic	0.0757295
Marketspan	0.0754352
IAI	0.0752207
ARCO	0.075119
Humana	0.074653
emachines	0.0738289
"Chronicle Publishing"	0.0734964
TELLABS	0.0734024
FPL	0.0731921
Wada	0.0727439
NatWest	0.0726085
sandpiper	0.07228
Pairgain	0.0722521
RAMBUS	0.0716943
SDL	0.0710906
"Ocean Spray"	0.0704061
Baxter	0.0702773
petitioner	0.0702397
PBA	0.07007
EMC	0.0700413
NORTHROP	0.0698318
Raytheon	0.069763
Sunbeam	0.0695888
McKesson	0.0691264
Cabletron	0.0690915
MP@.com	0.0690735
FDIC	0.0690032
BankBoston	0.0689972
MEA	0.0688589
MLB	0.0687437
Occidental	0.0684545
TiVo	0.0681985
Pacifica	0.0680001
Genentech	0.0679248
Gilead	0.0677334
Kozeny	0.0675861
"Bear Stearns"	0.0675815
ADM	0.0675399
NCR	0.067327
Handspring	0.0664618
Airtouch	0.066449
AUM	0.0663089
DEP	0.0658116
ACLU	0.065705
cattlemen	0.0656577
Aetna	0.0656223
SGI	0.0650793
Broderbund	0.0650749
MTA	0.0649578
Dexter	0.0647672
Mannesmann	0.0644552
"Pitney Bowes"	0.0640534
Caldera	0.0639834
Symington	0.063957
Windom	0.0638994
Kulikov	0.0633183
"Air Lanka"	0.0631835
Scientific-Atlanta	0.0631521
JetBlue	0.0629946
ATHOME	0.0628796
Warner-Lambert	0.0626616
Oneida	0.0625971
Lilly	0.0623312
"P&AMP;G"	0.0622155
"Nippon Credit"	0.0621031
ACOG	0.0620815
Genzyme	0.0620232
Bose	0.0620157
Symantec	0.0619464
HKFA	0.0618534
Shandling	0.0618015
Tsvangirai	0.0617062
BCE	0.0614162
Jewell	0.0614156
ama	0.0612977
Daimler	0.0612357
Liggett	0.0611523
Tenneco	0.0608843
Caldor	0.0606919
"U S West"	0.0606367
"El Al"	0.0606196
EEOC	0.0603244
Sycamore	0.0602547
Tseng	0.0602494
All-Tech	0.0601269
UNRWA	0.0600594
SmithKline	0.0599256
Lindland	0.0596936
Biogen	0.0596274
Mabetex	0.0594684
"A.R Baron"	0.0594362
Pitney	0.059245
Boehner	0.0591508
Juma	0.0590925
"Harvard Pilgrim"	0.058491
Amtrak	0.0584634
"Los Angeles Unified School District"	0.0584574
Asarco	0.0580908
MiniMed	0.0579357
TWA	0.0578567
Smitherman	0.0577984
NTRA	0.0577496
Corel	0.0576266
Napster	0.0576225
IMS	0.0575083
Netcom	0.0573224
Monsanto	0.0571334
Avondale	0.0570779
"Dan Morales"	0.057057
PEOPLESOFT	0.0569644
BofA	0.0569414
"Waffle House"	0.0567543
LAUSD	0.056729
Williams-Sonoma	0.056686
ABL	0.0563086
"Con Ed"	0.0562991
Transmeta	0.0561793
"Sea Launch"	0.0560969
Dana-Farber	0.0560315
AMC	0.0559728
Deutch	0.0557717
"Diamond Multimedia"	0.0557431
Kesri	0.0556783
AutoNation	0.0555989
WebMD	0.0555846
GANNETT	0.055544
TYCO	0.0554837
Polgar	0.0554793
Boo.com	0.0554203
Wiseman	0.0551108
Hofer	0.0550277
Pillars	0.0550228
Chiron	0.0549442
Mattel	0.054934
"Cable &AMP; Wireless"	0.0548933
"deputy sheriff"	0.0548886
"Bankers Trust"	0.0548775
"Xerox Corp."	0.0548671
Danka	0.0545443
CNPC	0.0544845
whistleblowers	0.0543878
Copley	0.0541785
USOC	0.0541385
Amway	0.0540315
Galileo	0.0538595
AHP	0.0538407
Cadbury	0.0538004
Chiquita	0.0536997
Spector	0.0536366
"Pac Bell"	0.0535473
AMP	0.053547
Thomson	0.0535166
EX-COMMUNISTS	0.0535104
Penders	0.0534993
Allstate	0.0534313
NSA	0.0531745
"Publishers Clearing House"	0.0531593
Milstein	0.0531108
Shinn	0.0531045
"Apple Computer Inc."	0.0531024
"Bell Atlantic"	0.0530658
UBS	0.0525374
EarthLink	0.0525234
"boy scout"	0.0523458
Sidanko	0.0523085
"Y&AMP;R"	0.0522577
Amgen	0.0520962
DiCarlo	0.0519074
Mehmet	0.0518462
niner	0.0518193
"True North"	0.0517937
Alcorn	0.0517177
ENTERGY	0.0516907
Infoseek	0.051658
))
(Cellucci (desc 18300.9) (sims
Pataki	0.181325
Whitman	0.148344
Giuliani	0.147928
Rowland	0.13233
Carnahan	0.132198
Schumer	0.130914
Vallone	0.13082
Bush	0.130488
Zedillo	0.129055
"Gray Davis"	0.128621
gore	0.126189
"John G. Rowland"	0.125527
Gephardt	0.124926
"George Pataki"	0.123204
Engler	0.122564
McCain	0.121424
DOLE	0.121106
Harshbarger	0.120978
"Paul Cellucci"	0.118626
"Christie Whitman"	0.117107
Quayle	0.11669
Ashcroft	0.116509
Spitzer	0.116102
Finneran	0.115392
Hastert	0.115377
Mauro	0.114128
"George W. Bush"	0.113721
Lott	0.113432
Bradley	0.113244
Labastida	0.112839
"Jeb Bush"	0.112668
Clinton	0.111287
Siegelman	0.109832
D'Amato	0.10978
Cuomo	0.109541
Gramm	0.108412
Khamenei	0.106588
Voinovich	0.106501
Yeltsin	0.106493
"Jane Hull"	0.106396
Taft	0.106308
Riordan	0.106178
Schroeder	0.106142
Gingrich	0.10509
Arafat	0.104996
Reagan	0.103758
Barak	0.103748
Bauer	0.102335
"George E. Pataki"	0.102141
Forbes	0.101984
Putin	0.101564
Florio	0.101439
Fujimori	0.101377
Governor	0.100873
Torricelli	0.10087
Blair	0.100085
Mugabe	0.0992591
Hoffa	0.0989397
Lazio	0.0987878
Hyde	0.0987359
Netanyahu	0.0986539
Estrada	0.0984747
weld	0.0982192
Lieberman	0.0975356
Corzine	0.097163
Daschle	0.0971071
Lungren	0.0971033
Armey	0.097082
"Pete Wilson"	0.0969895
Annan	0.0968563
Rossello	0.0966766
Shaheen	0.0965325
Buchanan	0.0957771
Barnes	0.0954881
Babbitt	0.0948922
Khatami	0.0945801
Feinstein	0.093348
Vacco	0.0932584
Kuchma	0.0931211
"Bill Bradley"	0.0927689
Safir	0.0923822
Archer	0.0919027
"Roy Barnes"	0.0918586
Lukashenko	0.0918441
Chuan	0.0913419
McGovern	0.0907752
Ventura	0.0907118
Mayor	0.0904783
Cheney	0.0904431
"Al Gore"	0.0902504
Reno	0.0901576
Richardson	0.0898224
Cornyn	0.0896568
Fong	0.0893969
Rugova	0.0890959
Primakov	0.0890092
Wahid	0.0887333
Davis	0.0877787
Quackenbush	0.0876764
Gorton	0.0870666
Millner	0.0867257
Nader	0.086411
Kerry	0.0854186
Kostunica	0.085311
"Jeanne Shaheen"	0.0850856
"John McCain"	0.0850087
MacKay	0.0849384
"Mario Cuomo"	0.0849173
Menino	0.0849055
"Lawton Chiles"	0.0844638
McCaffrey	0.0841119
Obasanjo	0.0840994
Menem	0.0837755
McCall	0.0833623
Kasich	0.0825967
Locke	0.082579
Cardoso	0.0824268
Habibie	0.0823712
Selig	0.0821363
Tung	0.0819728
Nethercutt	0.0819518
Chernomyrdin	0.0815788
Greenspan	0.0814221
Wilson	0.0813448
Mbeki	0.0811678
Draskovic	0.0811627
senator	0.0807269
"Clinton Administration"	0.0806672
Rafsanjani	0.0805578
"vice president"	0.08054
Cohen	0.0803742
Chavez	0.080196
Pastrana	0.0801611
Luzhkov	0.0800469
Helms	0.0797217
Lebed	0.0794609
Mahathir	0.0794253
Kennard	0.0792165
Kohl	0.0792056
Vajpayee	0.0790154
"Ronald Reagan"	0.0789105
administration	0.0785854
Ecevit	0.0784901
"first lady"	0.0784519
Kerrey	0.0781417
"Don Siegelman"	0.0780872
Ammiano	0.0780744
Republican	0.078021
Glickman	0.0778788
Haider	0.0778399
Perot	0.0777284
Maskhadov	0.0775685
Obuchi	0.0775624
Sutiyoso	0.0775434
"George Bush"	0.0775076
Mandela	0.077405
Aleman	0.0773925
Peres	0.0773038
Misuari	0.077223
Moynihan	0.0772108
McCurry	0.0770855
Dukakis	0.0765031
Ramos	0.0764499
FAIRCLOTH	0.0762851
Samaranch	0.0761652
"Tony Blair"	0.0760134
"William Cohen"	0.0760133
"Elizabeth Dole"	0.0759962
Chancellor	0.075974
Lautenberg	0.0759096
"John Engler"	0.0758914
"George Ryan"	0.0758862
"Rick Perry"	0.0757675
"Mel Carnahan"	0.0757163
Barr	0.0755561
Kennedy	0.0755169
Kerasiotes	0.075451
Sezer	0.0754348
Pelosi	0.0753528
Prodi	0.0752768
"Jim Hodges"	0.0750912
Gilmore	0.075071
Kennelly	0.0750641
Leavitt	0.0750015
Ovitz	0.0749698
Djukanovic	0.0748903
Coverdell	0.0748884
Nixon	0.0748641
"Hillary Clinton"	0.0748508
Santorum	0.074575
"Gary Locke"	0.074383
"Hillary Rodham Clinton"	0.0743054
Weizman	0.0739246
Democrat	0.0739186
McConnell	0.0738449
Chafee	0.0737488
Hashimoto	0.0737361
Trimble	0.0737245
Aziz	0.0735992
Mahuad	0.0735952
))
("cellular phone" (desc 31503.6) (sims
"cellular telephone"	0.269709
phone	0.236664
pagers	0.175832
telephone	0.170449
"personal computer"	0.166271
"fax machine"	0.164249
pager	0.145862
beepers	0.142406
modem	0.141667
"laptop computer"	0.13343
handset	0.133222
"television set"	0.132484
camcorders	0.131549
PC	0.12939
"tv set"	0.128459
appliance	0.127447
"Palm Pilots"	0.127239
device	0.127158
"hand-held computer"	0.126765
Computer	0.126649
"wireless telephone"	0.125247
laptop	0.1251
cellphones	0.119757
VCR	0.118932
printer	0.118003
scanner	0.117546
copier	0.116933
"communications equipment"	0.11668
semiconductor	0.115572
"Palm Pilot"	0.111485
"laser printer"	0.110067
"consumer electronics"	0.109983
"desktop computer"	0.109705
"CD player"	0.109583
"electronic device"	0.10953
"telephone service"	0.107064
camera	0.105556
"tape recorder"	0.104403
cellphone	0.104067
"telephone line"	0.103727
workstation	0.103715
"phone line"	0.10264
"household appliance"	0.101502
"disk drive"	0.100738
recorder	0.0999638
walkie-talkie	0.0993668
equipment	0.0990369
telephony	0.0986437
"phone service"	0.0985556
machine	0.0985461
stereo	0.0985121
conditioner	0.0956645
camcorder	0.0951599
"cable television"	0.0947921
"portable computer"	0.0939418
"data communication"	0.0937532
radio	0.0936871
DSL	0.092207
"credit card"	0.0917734
beeper	0.0912322
peripheral	0.091016
wireless	0.0907668
"integrated circuit"	0.0904509
telecommunication	0.0898569
"communications service"	0.089811
"fiber optics"	0.089178
automobile	0.0889471
headset	0.0887111
software	0.0884017
Satellite	0.0883329
TV	0.0881032
"microwave oven"	0.087978
gadget	0.0871832
"washing machine"	0.0871306
fax	0.0868924
server	0.0866897
air-conditioner	0.0859745
television	0.0856416
"motor vehicle"	0.0853598
"videocassette recorder"	0.0851798
cable	0.0850613
"memory chip"	0.0849712
calculator	0.0845872
"machine tool"	0.0838399
switchboard	0.0837565
"computer hardware"	0.0835161
microprocessor	0.0832863
"telephone network"	0.0831892
"home appliance"	0.0826414
microchip	0.0826011
atm	0.0821527
"video game"	0.0814557
"electronic equipment"	0.0802557
Internet	0.0801362
chip	0.0800068
"hearing aid"	0.0799239
"sewing machine"	0.0798627
"color television"	0.0796549
"computer network"	0.079292
desktop	0.0789402
"Palm VII"	0.0782868
"telephone set"	0.0781495
console	0.0772916
broadband	0.0766954
networking	0.0762904
firearm	0.0760162
electronics	0.0757234
monitor	0.0756436
Motorcycle	0.0755944
"phone system"	0.0755102
hardware	0.0754831
refrigerator	0.0753494
mainframe	0.0751102
toy	0.0748065
card	0.0745579
access	0.0740479
ADSL	0.0738186
keyboard	0.073288
"consumer goods"	0.0732462
transmission	0.0732252
battery	0.0731638
"telephone system"	0.0731523
CDMA	0.0729535
GSM	0.0725735
DVDs	0.0725499
jewelry	0.0723056
transmitter	0.0709962
product	0.0703978
"optical fiber"	0.0703226
microphone	0.0700767
notebook	0.0697585
wallet	0.0697517
gun	0.069682
wristwatch	0.0695036
auto	0.0692737
antenna	0.0688901
handgun	0.0688804
communication	0.0682241
radar	0.0680674
generator	0.0680341
"computer equipment"	0.0680246
email	0.0680171
router	0.0679436
transistor	0.0677642
car	0.0677487
machinery	0.0676294
"video equipment"	0.0675663
gear	0.0675603
iMac	0.0675476
processor	0.0670768
"office furniture"	0.0668166
network	0.0666416
kit	0.0664115
Projector	0.0658629
cigarette	0.0656101
"catalytic converter"	0.0655414
technology	0.0654719
box	0.0652348
vehicle	0.0651943
"communications technology"	0.0651426
"fuel cell"	0.0650732
"caller ID"	0.0648644
browser	0.0644958
binocular	0.0644677
electricity	0.0643257
"mainframe computer"	0.0642052
tire	0.0640836
engine	0.063758
"alarm system"	0.063723
"automated teller machine"	0.0636976
minicomputer	0.0634099
"diesel engine"	0.0633299
"stereo system"	0.0631817
Macintosh	0.0628572
air-conditioning	0.0627457
item	0.0625232
pistol	0.0624835
"security system"	0.0622803
video	0.0622536
switch	0.0620431
CD-ROM	0.0620262
Robot	0.0620161
component	0.0619483
"cassette recorder"	0.0618901
"communication system"	0.0617089
"cable system"	0.0616803
GPS	0.0616791
tool	0.0616709
"passenger car"	0.0615999
apparel	0.0613531
sensor	0.0608922
typewriter	0.0607383
computing	0.0607368
subscriber	0.0605933
multimedia	0.0604964
detector	0.06037
watercraft	0.0603031
"local call"	0.0602063
"information service"	0.0601656
goods	0.0599917
))
("cellular telephone" (desc 9912.39) (sims
"cellular phone"	0.269709
pagers	0.164405
"wireless telephone"	0.163211
phone	0.158738
cellphone	0.144479
"communications equipment"	0.136489
"consumer electronics"	0.13639
copier	0.13315
telephone	0.131842
camcorders	0.129683
pager	0.125033
"personal computer"	0.124284
beepers	0.122536
"fax machine"	0.121929
"disk drive"	0.120554
"hand-held computer"	0.119202
"household appliance"	0.116234
appliance	0.113755
"Palm Pilots"	0.113203
handset	0.113102
semiconductor	0.111058
telephony	0.109878
"data communication"	0.109414
modem	0.108884
laptop	0.108633
"cable television"	0.108508
"fiber optics"	0.108501
workstation	0.108336
"laptop computer"	0.10787
cellphones	0.104006
scanner	0.102815
"office furniture"	0.102792
"tv set"	0.102729
CDMA	0.101771
telecommunication	0.0998911
"electronic equipment"	0.0986853
"laser printer"	0.0985519
"tape recorder"	0.0984666
"machine tool"	0.0984337
networking	0.0956022
VCR	0.0954244
"desktop computer"	0.0950061
"CD player"	0.0946795
"memory chip"	0.0945295
"Palm VII"	0.0944425
"television set"	0.093917
"home appliance"	0.0926884
device	0.092129
DSL	0.0916975
"electronic device"	0.0909395
photocopier	0.0907838
peripheral	0.0905585
printer	0.0903383
PC	0.0903182
"portable computer"	0.0894551
Microelectronics	0.0890157
microchip	0.0887858
"video equipment"	0.0886758
"computer hardware"	0.0886418
"integrated circuit"	0.088178
walkie-talkie	0.0877911
camcorder	0.0875601
GSM	0.0863866
gadget	0.085809
"Palm Pilot"	0.0853332
stereo	0.0844705
mainframe	0.0832291
beeper	0.0830463
microprocessor	0.0829698
"video game"	0.0826909
"satellite receiver"	0.0817845
watercraft	0.0810198
camera	0.0810177
"telephone service"	0.0807758
"communications technology"	0.0803433
"power tool"	0.0801538
"computer equipment"	0.0801203
WAP	0.0797192
E-ZPass	0.0794836
"videocassette recorder"	0.0792889
"phone service"	0.0791352
GPS	0.0786169
auto	0.0785415
"mainframe computer"	0.0783425
automobile	0.078148
recorder	0.0776413
"information service"	0.077621
"electrical device"	0.0772203
"telephone system"	0.0763316
"optical fiber"	0.076247
"phone line"	0.0761121
multimedia	0.075958
"storage device"	0.0758197
"caller ID"	0.0757697
electronics	0.0756577
"phone system"	0.0753496
server	0.0753474
"motor vehicle"	0.0752879
"telephone line"	0.075139
Telecoms	0.0749646
atm	0.0748508
Propulsid	0.0746788
"hearing aid"	0.0746103
"sewing machine"	0.0745063
switchboard	0.0743912
"bank card"	0.0742086
wristwatch	0.0741209
Internet-based	0.0738882
"catalytic converter"	0.0730966
software	0.0729931
microwave	0.0727236
wireless	0.0726758
broadband	0.0726234
"Beanie Babies"	0.072516
transmitter	0.0724521
calculator	0.0722205
headset	0.0721428
cable	0.0712891
transponder	0.0709432
"specialty chemical"	0.0704116
"Palm III"	0.0702925
"microwave oven"	0.0701585
"greeting card"	0.0701267
conditioner	0.0699955
ISDN	0.0698048
hardware	0.0697289
chip	0.0695744
gizmo	0.0693059
"scientific instrument"	0.0692661
"fuel cell"	0.069143
"computer network"	0.0687888
Projector	0.0684131
"telephone network"	0.0680811
binocular	0.0678786
fax	0.0678576
WebTV	0.0678434
"consumer goods"	0.0678345
ADSL	0.0678326
Telecom	0.0674507
supercomputers	0.067382
"communication system"	0.0671825
"communications service"	0.0671454
videophone	0.0671109
router	0.0670747
"credit card"	0.0669248
"building product"	0.0669228
air-conditioner	0.0668448
aerospace	0.0666623
transmission	0.0663725
"test equipment"	0.0663262
sonar	0.0661402
broadcasting	0.0661294
"alarm system"	0.0660947
"electronic mail"	0.0660743
sensor	0.0660576
"data processing"	0.0653628
Satellite	0.0652819
optic	0.0651473
"communications satellite"	0.0648855
radar	0.0648253
"cash machine"	0.0648032
"alcoholic beverage"	0.0647106
"computer technology"	0.0646697
IC	0.0645223
"automated teller machine"	0.0644824
"solar energy"	0.0644705
"washing machine"	0.0642442
HDTV	0.0642231
transistor	0.0636696
"telephone exchange"	0.0636316
"solar power"	0.0635274
"spy satellite"	0.0629841
"color television"	0.0626693
biotechnology	0.0626001
"food product"	0.0625783
cosmetic	0.0625368
"circuit board"	0.0623558
computing	0.061939
antenna	0.0619389
analog	0.0619343
"computer game"	0.0618113
"golf club"	0.0617465
jewelry	0.0616846
pharmaceutical	0.0616794
"air travel"	0.0616232
avionics	0.0614441
Unix	0.0614347
"aircraft engine"	0.0613808
"charge card"	0.061374
"vending machine"	0.0613515
MP@	0.0613114
apparel	0.061253
typewriter	0.0612385
"water heater"	0.0611326
"diesel engine"	0.0606987
processor	0.0606774
"cassette recorder"	0.0606206
vending	0.0605629
pan-European	0.0605417
machinery	0.0604216
))
(celluloid (desc 1910.54) (sims
microfilm	0.0827858
stagecraft	0.0657101
"sound wave"	0.063808
cheesecloth	0.0621613
"detective work"	0.0614118
"breathing room"	0.0597604
foreplay	0.0571628
Sykes	0.05497
parquet	0.0541303
velcro	0.0533892
"Mount Rushmore"	0.0532834
"unfinished business"	0.0530311
newsreel	0.0523325
Americana	0.0522236
"inferiority complex"	0.051803
"raw meat"	0.0509785
roofing	0.0491534
"film clip"	0.0481972
razzle-dazzle	0.0471152
"Earth's crust"	0.0470931
"chocolate cake"	0.0469725
"hanky panky"	0.0466172
brocade	0.0460844
serendipity	0.0459159
soot	0.0450216
"embryonic cell"	0.0449952
cockiness	0.0449181
gunk	0.0435499
"two match points"	0.0432523
silverware	0.0423254
driftwood	0.0420945
"circumstantial evidence"	0.0420313
levity	0.0418179
cellophane	0.0417631
zeppelin	0.0412516
Twenty-three	0.0408768
fakery	0.0406685
boosterism	0.0403752
"test data"	0.0403699
shrapnel	0.0403231
))
(cellulose (desc 2607.21) (sims
Zonolite	0.136739
polypropylene	0.12835
starch	0.121697
resin	0.116058
Mylar	0.11515
kevlar	0.112858
pulp	0.0889447
telomerase	0.0885554
aluminum	0.0855668
collagen	0.0851732
"fish meal"	0.0830393
Plywood	0.082807
newsprint	0.0818379
jute	0.0795301
carbon	0.0788702
fiberglass	0.0787711
"fish oil"	0.0781204
vermiculite	0.0769131
acrylic	0.0767056
polyester	0.0766502
"cane sugar"	0.0764403
manganese	0.0761005
asbestos	0.0757951
"palm oil"	0.0757509
titanium	0.0752729
timber	0.073859
styrofoam	0.0734451
fiber	0.0733135
cardboard	0.0724929
tremolite	0.0704511
"iron ore"	0.0697843
insulation	0.0696661
lactose	0.0683934
silica	0.068292
urea	0.0682884
silicon	0.0679878
"precious metal"	0.0673072
ethanol	0.0669324
petrochemical	0.0666764
Gypsum	0.0664702
soot	0.0656172
ceramic	0.0654961
protein	0.0646433
Copper	0.0635549
"rare earth"	0.0630873
carbohydrate	0.0628183
flax	0.062373
tapioca	0.0623106
"synthetic fiber"	0.0618695
"machine tool"	0.0615548
methanol	0.061412
"integrated circuit"	0.0613515
nitrogen	0.0611158
olestra	0.0607279
biogas	0.0603353
interferon	0.0602806
Calcium	0.0602042
fibre	0.0601321
"building material"	0.0599661
hGH	0.0598499
chloride	0.0596841
petroleum	0.0596039
additive	0.0590632
"vitamin A"	0.0588024
dram	0.0579724
ephedrine	0.0579657
dioxide	0.0578431
"essential oil"	0.0577477
insecticide	0.0576403
hydrocarbon	0.0574856
"amino acid"	0.056991
alloy	0.0567727
phosphorus	0.0566846
tritium	0.0561754
angiostatin	0.0560916
polyethylene	0.0558369
"point system"	0.0558056
"picture tube"	0.0557548
hydrogen	0.0556695
pigment	0.05549
biomass	0.0552942
magnesium	0.0552046
sisal	0.0547437
"wax paper"	0.0547384
nylon	0.054681
semiconductor	0.054671
LNG	0.0545767
lubricant	0.0545275
cacao	0.0543044
Cyrix	0.0538889
cellophane	0.0534163
amphetamine	0.0532575
pollen	0.0532547
hemp	0.0529344
"nitrous oxide"	0.052864
"hot air"	0.0528486
mulch	0.0527422
vinyl	0.0525076
Zinc	0.0523119
stencil	0.0521036
foam	0.0520184
"memory chip"	0.0516081
"household appliance"	0.0515587
ethylene	0.0514961
"vegetable oil"	0.0514434
cobalt	0.0513159
aluminium	0.0513109
IC	0.0511557
nutrient	0.0511335
polymer	0.0510695
"rocket fuel"	0.0510135
plutonium	0.0509783
"specialty chemical"	0.0507516
"California wine"	0.0507499
cashew	0.0506305
wool	0.0506172
preservative	0.0504331
cadmium	0.0504021
"ransom money"	0.0502595
"citric acid"	0.0502378
tungsten	0.0501364
Trumpets	0.0500652
"food grain"	0.0499742
"passenger car"	0.0496242
pollutant	0.0495464
carotene	0.0495112
methamphetamine	0.0494102
laxative	0.0494056
"wheat flour"	0.0493607
glucose	0.0490549
silicone	0.0490269
"aluminum foil"	0.0486907
CPO	0.0485282
"steel plate"	0.048382
"water filter"	0.0481659
"growth hormone"	0.0480874
dopamine	0.0480853
gunpowder	0.0479636
latex	0.0478978
antioxidant	0.0477662
"wrapping paper"	0.04775
cashmere	0.0476578
"oil palm"	0.047395
ore	0.0473268
granule	0.0470341
"chemical compound"	0.0470144
Lycra	0.0470126
insulin	0.0470101
"biological warfare"	0.0469899
"ground beef"	0.046909
"coffee bean"	0.0468949
cocoa	0.0468852
byproducts	0.0466705
"stainless steel"	0.0466658
polyurethane	0.0466617
"vitamin D"	0.0466428
"vitamin C"	0.0466298
enzyme	0.046613
bauxite	0.0464557
"maple syrup"	0.0464306
benzene	0.0462634
"cashew nut"	0.0462016
hedgehog	0.0461199
hemoglobin	0.04609
"wind power"	0.0458973
"vanilla extract"	0.045782
ammonia	0.0456993
"skim milk"	0.0456579
POTASH	0.0454755
Deet	0.0454689
"liquefied petroleum gas"	0.0452429
helium	0.045151
Buicks	0.0451024
testosterone	0.045089
antifreeze	0.0450413
phosphate	0.0450225
"frozen food"	0.0448176
"bubonic plague"	0.0447257
"mineral water"	0.04464
"electronic equipment"	0.0444986
"oil paint"	0.0444603
"human waste"	0.0443704
TCM	0.0443569
acid	0.0443337
"red blood cell"	0.0442675
lysine	0.044246
lard	0.0441138
knitwear	0.0438682
"consumer goods"	0.0438261
wastewater	0.0437642
"electric power"	0.0437358
jewellery	0.0436308
iodine	0.0436264
neutron	0.0435933
escapism	0.0434868
chromium	0.0434382
herbicide	0.0434
"packing material"	0.0432427
filler	0.0431114
"germ warfare"	0.0430065
))
(Celsius (desc 13170.1) (sims
Fahrenheit	0.401408
Centigrade	0.391636
warmer	0.131044
"about @@ degrees"	0.119537
"nearly $@@"	0.113364
F.	0.0987894
f	0.0970214
temperature	0.0878168
normal	0.0872617
longitude	0.0772385
latitude	0.0741613
freezing	0.0714312
cent	0.0695902
"low temperature"	0.0654367
zero	0.0652131
"lower than"	0.0644896
C	0.0625761
"seven percent"	0.0611458
cooler	0.0600097
warmest	0.0597833
"two percent"	0.0593438
"miles per gallon"	0.0578609
"four percent"	0.057716
centavo	0.0575942
m.	0.0574358
"six percent"	0.0567755
"five percent"	0.0564333
"record level"	0.0559036
"about @ percent"	0.0550066
C.	0.0540685
m.p.h	0.0538811
"nearly @@ points"	0.0525721
minus-@@	0.052414
kg	0.0515177
"kilometers per hour"	0.0514285
kph	0.0513721
"percentage point"	0.0508831
"three percent"	0.0508748
"miles per hour"	0.0506111
"nine percent"	0.0504711
"Earth's surface"	0.050378
"one billion US dollars"	0.049493
"eight percent"	0.0494796
percent	0.0494217
"six billion"	0.0488831
"basis point"	0.0486334
bpd	0.0478462
"one cent"	0.0472285
mph	0.0464678
octave	0.0461102
barrel	0.0459243
mpg	0.0457689
digit	0.0456768
"over @"	0.0454509
"almost @@"	0.045144
"high temperature"	0.0450291
ruble	0.0448558
"one percent"	0.0446194
Sen	0.0442571
"about @.@ percent"	0.0440572
"one meter"	0.0436039
"less than @"	0.0432094
"about five percent"	0.0417642
altitude	0.0416777
mid-@@s	0.0410741
"about @.@@ percent"	0.0404257
"over @@@ points"	0.040383
"nearly @@"	0.0403271
aftershock	0.0403213
))
(Celta (desc 3602.07) (sims
Alaves	0.232337
"Real Sociedad"	0.218607
"Atletico Madrid"	0.205636
Espanyol	0.201521
Betis	0.201483
Tenerife	0.167193
"Celta Vigo"	0.164772
Deportivo	0.164616
Extremadura	0.158925
Bilbao	0.158916
Zaragoza	0.156854
Mallorca	0.153551
Valencia	0.149423
Valladolid	0.145364
"Deportivo Coruna"	0.138867
"Real Madrid"	0.137992
Sevilla	0.136929
Salamanca	0.135744
"Real Betis"	0.135306
Santander	0.132945
"Athletic Bilbao"	0.132198
Spartak	0.126679
Salernitana	0.125079
"FC Barcelona"	0.118781
"Red Star"	0.11593
"Partizan Belgrade"	0.113703
Besiktas	0.109529
Berasategui	0.109466
Atletico	0.107883
Villareal	0.104614
"Galo Blanco"	0.104143
Oviedo	0.103001
Barcelona	0.101808
Gremio	0.100277
Perugia	0.099833
"Leeds United"	0.0973141
"Javier Sanchez"	0.0968634
Venezia	0.0964348
"Shanghai Shenhua"	0.095985
Cruzeiro	0.0957488
Olympiakos	0.0950348
"Alberto Berasategui"	0.0947371
"Deportivo La Coruna"	0.0944819
Udinese	0.0943986
corinthian	0.0939038
Palmeiras	0.0931447
"Francisco Clavet"	0.0926436
Penarol	0.091131
Bastia	0.0906306
Everton	0.0905293
Wolfsburg	0.0903681
Gustafsson	0.0903336
Bayern	0.0902471
"Carlos Costa"	0.0892285
"Bayer Leverkusen"	0.0890189
Panathinaikos	0.0888892
"Spartak Moscow"	0.0878713
Feyenoord	0.0877407
Clavet	0.0876393
AEK	0.0873868
Obilic	0.0864504
Rosenborg	0.0861184
Empoli	0.0852916
Brondby	0.0846556
Independiente	0.084296
"Blackburn Rovers"	0.083947
"Felix Mantilla"	0.0838473
PSV	0.0837557
Ajax	0.0836057
Sunderland	0.0832187
Vicenza	0.0830171
Galatasaray	0.0826555
"Carlos Sainz"	0.0824392
Dosedel	0.0823477
"Sichuan Quanxing"	0.0820279
"Coventry City"	0.0818928
Haarhuis	0.0814732
Anderlecht	0.0813848
"Fighting Irish"	0.0812234
Raoux	0.0811027
Lecce	0.0806765
Maribor	0.0803906
"Olympiakos Piraeus"	0.0801091
Liverpool	0.0800687
Andorra	0.0798981
"Olympique Marseille"	0.0798269
Kaiserslautern	0.0797649
Inter	0.079325
Jansher	0.0793186
Atalanta	0.079161
"Phenix City"	0.0791197
Parma	0.0788791
Nicol	0.078508
Rennes	0.0778843
Shenhua	0.0778313
"Boca Juniors"	0.0777241
"Albert Costa"	0.0776995
Sampdoria	0.0774316
"Guangzhou Apollo"	0.0771263
"Fernando Escartin"	0.0768597
Piacenza	0.0765543
Charlton	0.0762859
Bruguera	0.0762717
"River Plate"	0.0761828
"Chinese Army"	0.0760785
"Tatiana Panova"	0.0757747
Coventry	0.0751139
Flamengo	0.0751114
"Borussia Moenchengladbach"	0.074713
"Arantxa Sanchez Vicario"	0.0746164
"Bayern Munich"	0.0744944
Fiorentina	0.0738298
"Sergi Bruguera"	0.0737867
Gorter	0.0737638
Stoltenberg	0.0732602
Necaxa	0.0730788
"Albert Portas"	0.0723962
Heerenveen	0.0721176
Leeds	0.0717551
"Arantxa Sanchez-Vicario"	0.0715593
"Chicago Fire"	0.0714646
"Amy Frazier"	0.0712808
MetroStars	0.0712053
"American Chanda Rubin"	0.0710948
Porto	0.0710381
Middlesbrough	0.0710046
PSG	0.0706485
"Dynamo Kiev"	0.070514
Meligeni	0.0701291
"Arnaud Di Pasquale"	0.0699452
Estudiantes	0.0699205
Schalke	0.0696606
Barnsley	0.0696132
"Juan Antonio Marin"	0.0695293
"Arnaud Boetsch"	0.0693952
"Barbara Schwartz"	0.0692862
Huber	0.0692746
Starzz	0.0690633
Benfica	0.0687645
Watford	0.068611
Olimpia	0.0684886
Hokies	0.0684127
"Dalian Wanda"	0.0682266
Rostock	0.0682226
Leverkusen	0.0679296
"Joannette Kruger"	0.0679201
"Fabrice Santoro"	0.0679058
"Sturm Graz"	0.0675624
Puerta	0.0675228
"San Lorenzo"	0.0674057
"Neville Godwin"	0.067273
Cornhusker	0.0672094
"VfB Stuttgart"	0.0669965
"AC Milan"	0.0669739
PAOK	0.0669076
Tottenham	0.0668541
"Manchester United"	0.0665007
Fulham	0.0663013
"Croatia Zagreb"	0.0660221
Capriati	0.065602
"PSV Eindhoven"	0.0654407
"Nathalie Dechy"	0.0654382
"Velez Sarsfield"	0.0653334
"Nottingham Forest"	0.0651619
"Judith Wiesner"	0.0646986
Blackhawks	0.0641767
Vitesse	0.0638159
"Chanda Rubin"	0.0637795
Boilermakers	0.0634166
Torino	0.063271
"Kenneth Carlsen"	0.0630843
"Newcastle United"	0.0630494
Juventus	0.062958
"American Michael Chang"	0.0626428
Internazionale	0.0625948
Coetzer	0.0624552
"Conchita Martinez"	0.0624152
"Scarlet Knights"	0.0622968
gamecock	0.0621935
"Borussia Dortmund"	0.0621935
"Mariano Puerta"	0.0621107
"Guangdong Hongyuan"	0.0620675
Metz	0.0618422
Minutemen	0.0616749
"Leicester City"	0.0616482
"Jeff Tarango"	0.0616239
Hawkeyes	0.0613007
Sanchez-Vicario	0.0612932
Henman	0.0612885
Mantilla	0.0612343
Schett	0.061224
"Brenda Schultz-McCarthy"	0.0611277
Edberg	0.0609273
"Slavia Prague"	0.0609169
"Schalke @@"	0.0607587
"FC Porto"	0.0607072
Corretja	0.0606955
"Ajax Amsterdam"	0.0601878
Bologna	0.0600042
"Alex Corretja"	0.0598862
))
("Celta Vigo" (desc 1784.34) (sims
"Real Betis"	0.317197
"Athletic Bilbao"	0.272934
"Real Sociedad"	0.24237
"Atletico Madrid"	0.226465
Valladolid	0.224217
"Deportivo Coruna"	0.221318
Espanyol	0.213709
"Albert Portas"	0.21107
Besiktas	0.210095
Tenerife	0.208154
"VfB Stuttgart"	0.205051
Estudiantes	0.204516
"Schalke @@"	0.193747
Auxerre	0.185429
"Sturm Graz"	0.181448
"Galo Blanco"	0.181196
Heerenveen	0.178353
"Slavia Prague"	0.178247
Anderlecht	0.176035
Bastia	0.173029
"Croatia Zagreb"	0.172624
"Magui Serna"	0.172261
Sevilla	0.168179
Fenerbahce	0.165746
"Deportivo La Coruna"	0.165216
Celta	0.164772
"Sichuan Quanxing"	0.158758
"Coventry City"	0.157892
Mallorca	0.15737
"VfL Wolfsburg"	0.156685
Torino	0.154919
Brondby	0.153375
Oviedo	0.153201
"PSV Eindhoven"	0.150923
"Javier Sanchez"	0.148283
Zaragoza	0.147057
Valencia	0.146669
"Velez Sarsfield"	0.145294
"Bayer Leverkusen"	0.144978
"Spartak Moscow"	0.144766
"Olympique Marseille"	0.143164
"Julian Alonso"	0.143042
Independiente	0.140596
"Partizan Belgrade"	0.139063
Gremio	0.138613
Penarol	0.137831
Schalke	0.137235
"Jubilo Iwata"	0.137035
Alaves	0.136214
"Borussia Moenchengladbach"	0.135159
"Guangzhou Apollo"	0.134078
"Qingdao Hainiu"	0.133614
Feyenoord	0.130901
Udinese	0.130321
"Newcastle United"	0.130022
Zamalek	0.128619
"Werder Bremen"	0.128216
Betis	0.126697
"Colo Colo"	0.126053
"Juan Carlos Ferrero"	0.124574
"Juan Antonio Marin"	0.12453
"Tatiana Panova"	0.123615
"Francisco Clavet"	0.123185
"Real Madrid"	0.122785
Panathinaikos	0.122494
"Alberto Berasategui"	0.122402
"Carlos Costa"	0.122239
"Leicester City"	0.121037
Salamanca	0.120899
"Arnaud Di Pasquale"	0.120752
"Guangdong Hongyuan"	0.119162
Necaxa	0.118807
"Jinan Taishan"	0.118335
Vitoria	0.118088
"Olympiakos Piraeus"	0.117969
Benfica	0.117448
"Chinese Army"	0.117318
Metz	0.117109
Rosenborg	0.116095
Nacional	0.115885
"FC Porto"	0.115479
Cagliari	0.115216
"Alberto Costa"	0.114751
"Hertha Berlin"	0.114094
"Paola Suarez"	0.113507
"Sergi Bruguera"	0.113409
Sampdoria	0.113336
Piacenza	0.113332
"Borussia Dortmund"	0.113263
"Hernan Gumy"	0.112944
"Adrian Voinea"	0.11191
"AEK Athens"	0.111591
"West Ham United"	0.111499
"Anne Kremer"	0.110761
"Franco Squillari"	0.110419
Middlesbrough	0.110244
Bilbao	0.109878
"Shanghai Shenhua"	0.109425
Olympiakos	0.108762
Olimpia	0.108017
"Joannette Kruger"	0.107981
"Florencia Labat"	0.107516
Watford	0.107123
Lecce	0.106892
Parma	0.106788
"Barbara Schwartz"	0.106784
"Andreas Vinciguerra"	0.106635
"Albert Costa"	0.106563
"Jerome Golmard"	0.105822
"Derby County"	0.105564
Salernitana	0.105275
Galatasaray	0.104872
"Boca Juniors"	0.104777
"Catalina Cristea"	0.104379
"Christian Ruud"	0.103909
"AC Parma"	0.103023
Malaga	0.102907
"Leeds United"	0.102842
"Bayern Munich"	0.102696
"Richard Fromberg"	0.102176
"Ajax Amsterdam"	0.101993
"Rainer Schuttler"	0.101977
Montpellier	0.101456
"Blackburn Rovers"	0.101411
"Nottingham Forest"	0.101002
Kaiserslautern	0.100949
"Arnaud Boetsch"	0.100365
Fiorentina	0.0995688
"Felix Mantilla"	0.0989521
Napoli	0.098727
"Sarah Pitkowski"	0.098542
"Nicolas Escude"	0.0978445
"Nathalie Dechy"	0.0975862
"Richey Reneberg"	0.0971275
Porto	0.0968266
"Dynamo Kiev"	0.0963566
corinthian	0.0956888
"Vincent Spadea"	0.0948284
"Guy Forget"	0.0947744
"Arnaud Clement"	0.094648
"Mariano Zabaleta"	0.0940482
Bologna	0.0940432
"Sabine Appelmans"	0.0935224
"Mikael Tillstrom"	0.092939
Atalanta	0.0928562
Venezia	0.0928344
"Crystal Palace"	0.0927123
"Karim Alami"	0.092241
"Naoko Sawamatsu"	0.0917494
"Nicole Pratt"	0.0905119
Barcelona	0.0901429
Flamengo	0.0898323
Empoli	0.0895946
"Ramon Delgado"	0.0894761
"Inter Milan"	0.0890865
"Sargis Sargsian"	0.0889492
Atletico	0.0887032
Obilic	0.0884175
"Fabrice Santoro"	0.0882047
"Andrei Pavel"	0.0881424
"Dalian Wanda"	0.0881005
"Glasgow Rangers"	0.0878711
Cruzeiro	0.0878121
"Filip Dewulf"	0.0877386
"Sjeng Schalken"	0.0875211
"Wayne Arthurs"	0.0874358
"Tara Snyder"	0.0873408
"Hicham Arazi"	0.0871529
"Carlos Sainz"	0.0869306
"River Plate"	0.0868325
"Xavier Malisse"	0.0868211
"San Lorenzo"	0.0866572
"Amy Frazier"	0.0864895
"Aston Villa"	0.0862974
"Barbara Rittner"	0.085638
"Asa Carlsson"	0.0853501
"Barbara Paulus"	0.0852312
"Jeff Tarango"	0.0851846
"Renzo Furlan"	0.0851126
Sunderland	0.0849325
Everton	0.0848791
Karlsruhe	0.084559
"Neville Godwin"	0.0844329
"Kenneth Carlsen"	0.0837497
Hongyuan	0.0836706
"Younes El Aynaoui"	0.0835063
"Manchester United"	0.0830184
"Silvia Farina"	0.0828929
"Kveta Hrdlickova"	0.0828639
Rennes	0.0827221
"Els Callens"	0.0826974
"Alexandra Fusai"	0.0826538
"Wayne Black"	0.0821966
"Paris St Germain"	0.0819473
"Daniel Nestor"	0.0819312
"Andrew Ilie"	0.0817322
"Jonathan Stark"	0.081592
"Mariano Puerta"	0.0815403
"Marcelo Filippini"	0.0812602
Monaco	0.0812088
))
(Celtic (desc 13231) (sims
"Glasgow Rangers"	0.113772
Obilic	0.10222
Besiktas	0.0959762
Brondby	0.0929559
Juventus	0.0920452
Middlesbrough	0.0879318
Irish	0.0857054
"Colin McRae"	0.0848699
"Tottenham Hotspur"	0.0845936
"Ajax Amsterdam"	0.0842868
Olympiakos	0.0841889
Benfica	0.0839905
Liverpool	0.0839294
"Olympique Marseille"	0.0836616
"PSV Eindhoven"	0.0827569
"Peter Nicol"	0.082582
"Real Madrid"	0.0823398
"Bayern Munich"	0.0821105
Panathinaikos	0.0811722
"Manchester United"	0.0810108
"Red Star"	0.080436
"Aston Villa"	0.0802449
Laker	0.0801372
bluegrass	0.0798895
Palmeiras	0.0796263
Everton	0.0793307
Kaiserslautern	0.078962
Newcastle	0.0784462
Galatasaray	0.0778741
"AC Milan"	0.0776043
Parma	0.0770832
Independiente	0.0769138
Leeds	0.0761286
Ajax	0.0757422
Feyenoord	0.0754778
Schalke	0.0749931
"West Ham"	0.0746812
Anderlecht	0.0744242
corinthian	0.0744077
"Shanghai Shenhua"	0.0743408
Latin	0.0738351
"Newcastle United"	0.0735088
Blackburn	0.0725903
"Borussia Dortmund"	0.0724122
"Schalke @@"	0.0723738
Tottenham	0.0721048
Sunderland	0.0713729
Celtics	0.0704214
"Dalian Wanda"	0.0703727
Cajun	0.0700418
"Blackburn Rovers"	0.0699545
Appalachian	0.0696846
"Croatia Zagreb"	0.0694106
Flamengo	0.0686352
Knick	0.0681748
Germanic	0.0679169
Gremio	0.0675888
Fenerbahce	0.066684
Scottish	0.0665563
"River Plate"	0.0665168
"Middle Eastern"	0.0663953
Penarol	0.066122
oiler	0.0657332
Chelsea	0.0656657
Fulham	0.0649992
Nacional	0.064913
Inter	0.0649073
"D.C. United"	0.064532
"Leeds United"	0.0645287
"Olympiakos Piraeus"	0.0643451
Hawaiian	0.0641494
"Atletico Madrid"	0.0640329
"Celta Vigo"	0.0639508
"Nottingham Forest"	0.0638814
Barcelona	0.0636756
"FC Barcelona"	0.0635931
"Jubilo Iwata"	0.063518
bruin	0.0634935
"native American"	0.0632095
"Werder Bremen"	0.0630902
Arsenal	0.0630333
"Leicester City"	0.0627805
"Deportivo Coruna"	0.0627205
"Boca Juniors"	0.0625001
"Horned Frogs"	0.0623443
Udinese	0.0621296
Aggie	0.0618174
Betis	0.0617734
MetroStars	0.0617401
Auxerre	0.0615888
"Crystal Palace"	0.061523
PSG	0.0613761
"Damon Hill"	0.0611735
"Red Wings"	0.0609526
"Real Betis"	0.0608272
ranger	0.060749
Maori	0.0606566
Heerenveen	0.0605638
"Velez Sarsfield"	0.0605187
Watford	0.0603851
"New Age"	0.060239
Canuck	0.0601746
"Borussia Moenchengladbach"	0.0600363
"Inter Milan"	0.0600093
"Arantxa Sanchez-Vicario"	0.0598309
Zydeco	0.0595069
Shenhua	0.0593964
"Kinder Bologna"	0.0593108
Zamalek	0.0592715
Seahawk	0.059065
Slavic	0.0589957
Fiorentina	0.0587353
Seminole	0.0585705
Jazz	0.0584981
sabre	0.058287
mariachi	0.0581015
"Colo Colo"	0.0580512
"VfL Wolfsburg"	0.0579647
"Fighting Irish"	0.0579495
"MIka Hakkinen"	0.0578214
Canadiens	0.0578169
"Gustavo Kuerten"	0.0575186
Necaxa	0.0573436
"VfB Stuttgart"	0.0573433
panther	0.0573105
Jayhawks	0.0569065
Reggae	0.0568839
Iroquois	0.056802
"Rainer Schuttler"	0.0567155
klezmer	0.0565518
"R&AMP;B"	0.0565496
Yankee	0.0563929
"Dynamo Kiev"	0.056327
Oriole	0.0560483
"Boston Celtics"	0.0557495
Sampdoria	0.0557194
"Blaine Wilson"	0.0555497
"Red Sox"	0.0554834
islander	0.055465
"Spartak Moscow"	0.0554571
"Sturm Graz"	0.0553723
"Dallas Stars"	0.0553702
"Jansher Khan"	0.0551758
"Paul Tergat"	0.0551634
AEK	0.0550874
"Michael Chang"	0.0550643
"Patrick Rafter"	0.0549563
"Dario Franchitti"	0.0549428
Venezia	0.05478
Metz	0.0547554
Springbok	0.054537
Porto	0.0543403
"Pernilla Wiberg"	0.0542457
Javanese	0.0539424
Valencia	0.0539143
"Partizan Belgrade"	0.053895
Bastia	0.0538248
southern	0.0537441
"Petr Korda"	0.0537345
cowboy	0.053689
"Guangzhou Apollo"	0.0536323
gamecock	0.0536082
Mexican-American	0.0535999
"Richard Krajicek"	0.0534184
Olimpia	0.0533824
Danish	0.0533411
"Steffi Graf"	0.0533305
Doohan	0.0531179
Blackhawks	0.0531014
Perugia	0.0529804
"Jacques Villeneuve"	0.0528099
Dosedel	0.0528036
Napoli	0.0527405
"Sergi Bruguera"	0.052724
"Coventry City"	0.0525551
"Rodney Eyles"	0.0525389
Charlton	0.0523712
Sox	0.0522625
Steelers	0.0520389
"Jana Novotna"	0.0520271
"North African"	0.0520023
"Detroit Red Wings"	0.0519457
Ulihrach	0.0519081
calypso	0.051815
"Scott Draper"	0.0517528
pacer	0.0516125
Roma	0.0516109
"Maria Butyrskaya"	0.0515714
Armenian	0.0515388
bronco	0.0515308
"Martina Navratilova"	0.0514649
Valladolid	0.0512736
Bruguera	0.0512331
Cavs	0.0510129
Cruzeiro	0.0509392
dodger	0.0508432
"Buffalo Sabres"	0.0508336
"Fabrice Santoro"	0.0507955
"David Coulthard"	0.0507249
Lecce	0.05071
))
(Celtics (desc 31592) (sims
"Boston Celtics"	0.237093
Lakers	0.210319
Knicks	0.202092
pacer	0.196088
Sonics	0.194969
clipper	0.193206
piston	0.180508
Raptor	0.176441
"Los Angeles Lakers"	0.175987
"Chicago Bulls"	0.172071
Timberwolves	0.169592
maverick	0.165792
sixer	0.162827
bruin	0.158575
"Trail Blazers"	0.157245
"Houston Rockets"	0.156959
Giants	0.156922
Hornet	0.156084
bull	0.153925
grizzly	0.15282
wildcat	0.152163
"Indiana Pacers"	0.149522
oiler	0.146687
Orioles	0.146327
"New York Knicks"	0.145411
spur	0.145258
BEARS	0.145207
Seahawks	0.144139
"Red Sox"	0.143715
Mets	0.141213
ASTROS	0.138522
Bengals	0.137399
dodger	0.137129
"Detroit Pistons"	0.137015
Canadiens	0.136678
"Minnesota Timberwolves"	0.13618
"Atlanta Hawks"	0.136143
"Sacramento Kings"	0.136121
hawk	0.135969
"Dallas Cowboys"	0.135286
"Phoenix Suns"	0.135237
cardinal	0.134684
Trojan	0.134096
nugget	0.133647
ranger	0.132777
Yankee	0.132272
"San Antonio Spurs"	0.132177
Redskin	0.131248
"Portland Trail Blazers"	0.131212
"White Sox"	0.131066
"Charlotte Hornets"	0.129985
patriot	0.129718
"New Jersey Nets"	0.129195
"Red Wings"	0.129093
bronco	0.128873
packer	0.128842
Padre	0.128748
"Minnesota Vikings"	0.128578
"Golden State Warriors"	0.128176
"blue jay"	0.127539
falcon	0.127403
"Utah Jazz"	0.12738
blazer	0.127377
Steelers	0.126143
"New York Giants"	0.125896
cowboy	0.125539
"Green Bay Packers"	0.12514
Eagles	0.125004
"Cleveland Browns"	0.124961
"Maple Leafs"	0.124712
"Miami Heat"	0.124351
cavalier	0.12386
ram	0.123542
MetroStars	0.123534
"Indianapolis Colts"	0.123169
"Chicago Bears"	0.12315
panther	0.12286
Phillies	0.122319
"Milwaukee Bucks"	0.122318
brave	0.12227
A's	0.12185
Canuck	0.121672
mariner	0.121445
Sooners	0.120382
"Tampa Bay"	0.120368
cub	0.120199
sabre	0.119719
"Orlando Magic"	0.119551
"New York Rangers"	0.119526
husky	0.119231
"blue devil"	0.119124
"Los Angeles Dodgers"	0.119014
"New York Mets"	0.118887
"New York Jets"	0.118744
"San Francisco @@ers"	0.116321
Blackhawks	0.115942
"Los Angeles Kings"	0.115573
"Washington Redskins"	0.115521
"Dallas Mavericks"	0.115485
"Los Angeles Clippers"	0.115009
"Philadelphia Flyers"	0.115003
"Miami Dolphins"	0.114517
islander	0.114086
Cavs	0.113917
"Cincinnati Reds"	0.11368
Indiana	0.113563
"Green Bay"	0.113559
flyer	0.112893
"Washington Wizards"	0.112683
USC	0.112548
UCLA	0.112419
raider	0.112416
Portland	0.112027
"Michigan State"	0.11198
Toronto	0.111869
charger	0.111791
"St. Louis Rams"	0.111631
"Montreal Canadiens"	0.111439
"New York Yankees"	0.111173
Cleveland	0.111086
Supersonics	0.111081
team	0.111028
"Tar Heels"	0.110545
devil	0.11027
"ATLANTA FALCONS"	0.110229
Sox	0.110188
"Toronto Raptors"	0.109952
"Edmonton Oilers"	0.10984
Pepperdine	0.109525
diamondback	0.109278
"Dallas Stars"	0.109078
Raven	0.108602
"San Diego Chargers"	0.108475
Jazz	0.108429
"Vancouver Canucks"	0.107887
Purdue	0.107882
"St. Louis Cardinals"	0.107874
dolphin	0.107755
"Boston Red Sox"	0.10772
"New England Patriots"	0.107608
"Cleveland Indians"	0.10757
Viking	0.107564
"Denver Broncos"	0.107421
"Denver Nuggets"	0.106898
marlin	0.106836
"Golden State"	0.106808
"Kansas City Chiefs"	0.106692
"Atlanta Braves"	0.106093
"Detroit Lions"	0.105925
"Mighty Ducks"	0.105824
"Buffalo Bills"	0.10535
Boilermakers	0.105185
Seminoles	0.104948
Detroit	0.104684
bulldog	0.104654
"Florida Marlins"	0.1044
Gators	0.104316
LSU	0.10415
Royals	0.104065
"San Diego Padres"	0.103647
Orlando	0.103454
ASU	0.10333
Longhorn	0.103317
"Florida Panthers"	0.103228
Utah	0.103085
"Carolina Panthers"	0.102813
"Cincinnati Bengals"	0.102674
thrasher	0.102516
"Oakland Raiders"	0.10236
Minnesota	0.101975
"Buffalo Sabres"	0.101781
"New Orleans Saints"	0.10147
coyote	0.101342
buckeye	0.100931
colt	0.100848
Phoenix	0.100818
"Philadelphia Eagles"	0.100165
"Seattle Mariners"	0.100134
"Ohio State"	0.0997187
"Baltimore Orioles"	0.0996519
Denver	0.0995509
"Detroit Red Wings"	0.0995326
warrior	0.099519
"Chicago Cubs"	0.0994566
"Carolina Hurricanes"	0.0991325
"D.C. United"	0.098855
"New York Islanders"	0.0987694
"Oakland Athletics"	0.0985488
Aggies	0.0984337
Milwaukee	0.097996
"Pittsburgh Penguins"	0.097755
"Milwaukee Brewers"	0.0976275
"Houston Astros"	0.0976205
wizard	0.0972453
"Chicago White Sox"	0.0972107
angel	0.0969917
UConn	0.0969341
"Florida State"	0.0968008
Dallas	0.0967918
"Red Storm"	0.0967343
))
(Cem (desc 2447.21) (sims
Rifkind	0.330322
Komura	0.316999
Velayati	0.295841
Ikeda	0.293591
Dini	0.28804
Pangalos	0.28579
Moratinos	0.284217
Kasoulides	0.283339
Kharrazi	0.280381
"de Charette"	0.279215
Shareh	0.272899
Ivanov	0.270549
Axworthy	0.264166
Stoyanov	0.259544
Sergeyev	0.259252
Guterres	0.256476
Jayakumar	0.256081
Vedrine	0.255953
Nzo	0.25305
Azad	0.243811
Boueiz	0.242257
Phieu	0.241799
Granic	0.240555
Constantinescu	0.239807
Siazon	0.238336
Meguid	0.233087
Pickering	0.231529
Goh	0.227135
Camdessus	0.221233
Kono	0.21919
Moussa	0.21872
Santer	0.218084
Klima	0.217124
Wolfensohn	0.217082
Demirel	0.215128
Abdel-Meguid	0.214537
Nujoma	0.212511
Khaddam	0.211884
Gaddafi	0.211786
Surin	0.210727
Mkapa	0.210666
Scalfaro	0.210621
Holl	0.210594
Luong	0.210482
Ikimi	0.210293
Alatas	0.20939
Solana	0.208977
Aziz	0.20888
"De Soto"	0.208001
Karimov	0.207941
Rakhmonov	0.206981
Papandreou	0.20566
Ruehe	0.205107
Sumaye	0.204866
Shevardnadze	0.203398
Khai	0.203302
Kinkel	0.203063
Tsang	0.201646
Ahtisaari	0.200867
Nasrallah	0.200173
al-Sahhaf	0.198764
Jovanovic	0.198106
Hrawi	0.198009
Ben-Ami	0.197824
Talbott	0.196784
Clerides	0.196754
Kok	0.195441
Gujral	0.19375
Kabariti	0.193709
Qiao	0.19361
Meles	0.192827
Kostov	0.191656
Brahimi	0.190524
Vollebaek	0.189328
Ogata	0.187963
Ganzouri	0.187671
Chavalit	0.187056
Orban	0.186941
al-Khatib	0.185887
Akayev	0.185421
Lipponen	0.184994
Kyprianou	0.181523
Zou	0.180562
"Dos Santos"	0.179767
Pustovoitenko	0.179755
Niyazov	0.178953
Azizah	0.17866
Singson	0.178426
"Ismail Cem"	0.177034
Milutinovic	0.176668
Rodionov	0.176545
Nazarbayev	0.175851
Ciampi	0.175681
Deuba	0.174993
Brittan	0.174423
Majali	0.173904
"Than Shwe"	0.17388
Narayanan	0.173637
Advani	0.172656
Kuchma	0.172336
Qian	0.172324
Saleh	0.171962
Leghari	0.171557
Hasina	0.171171
Zeng	0.170797
Ecevit	0.170554
Chissano	0.169836
Zeroual	0.167843
Kwasniewski	0.167591
Hu	0.166577
Menem	0.165619
Scharping	0.16515
Klestil	0.164892
Simitis	0.164657
Waigel	0.163801
Hamad	0.163619
Chirac	0.163086
Insulza	0.162902
Frei	0.162541
Lahoud	0.161827
Eizenstat	0.160822
Erekat	0.160415
Zhu	0.159979
Bildt	0.159573
Sahnoun	0.159236
Fischer	0.159207
Grachev	0.159124
Aventajado	0.158998
Aznar	0.158742
Tarawneh	0.158586
Mubarak	0.157791
Shaath	0.157389
Husseini	0.157296
Rong	0.156751
Muluzi	0.156605
Erbakan	0.156479
Indyk	0.15637
Hashimoto	0.156351
Ahern	0.155633
Chiluba	0.15505
Tarrin	0.154864
Yastrzhembsky	0.154854
Dehaene	0.154487
Barshefsky	0.154358
Tung	0.154114
Chuan	0.154071
Albright	0.153803
"Kamal Kharrazi"	0.15326
Vasile	0.152974
Bellamy	0.152557
Berri	0.151811
Mordechai	0.151505
"Igor Ivanov"	0.150792
Muoi	0.150715
Denktash	0.15053
Hariri	0.150011
Koo	0.149072
tang	0.148909
Zuma	0.148779
Sharaa	0.148668
Juma	0.148377
Alarcon	0.147879
Vajpayee	0.147811
"Necmettin Erbakan"	0.1478
Brundtland	0.147676
Banharn	0.146918
Xanana	0.146668
D'Alema	0.146228
Diouf	0.146227
Bolger	0.146049
Aliyev	0.145979
Chi	0.144733
Sampaio	0.144687
Gurirab	0.14451
Bruton	0.143987
Iliescu	0.143922
Schuessel	0.143769
Rau	0.143665
al-Sharaa	0.143514
Musharraf	0.142812
"Valery Pustovoitenko"	0.14174
al-Bashir	0.141724
Weizman	0.141581
Downer	0.141323
Abubakar	0.141283
Manley	0.140943
Chretien	0.140452
Prodi	0.140405
Tian	0.140223
Persson	0.140182
wen	0.139729
Abdullah	0.139405
"Vo Van Kiet"	0.139329
"Wim Kok"	0.139085
Ciller	0.138894
Blatter	0.138803
Demaci	0.138187
Modise	0.138142
Museveni	0.138135
Juncker	0.13813
"Mesut Yilmaz"	0.13804
Jia	0.137761
Zhirinovsky	0.137456
"William Perry"	0.13717
Yilmaz	0.136421
Jospin	0.136398
"Secretary General Esmat Abdel-Meguid"	0.135946
Juppe	0.135494
Gowda	0.135484
Vice-Premier	0.135329
Prueher	0.135018
"Maung Aye"	0.13476
Duisenberg	0.13439
"Abidine Ben Ali"	0.134385
Herzog	0.13403
el-Ganzouri	0.133812
al-Sahaf	0.13376
Cohen	0.133296
Fu	0.133014
Wei	0.133007
"Khin Nyunt"	0.132572
Wahid	0.132036
Primakov	0.131505
Beazley	0.13126
Garang	0.131135
Bizimungu	0.130525
Luo	0.130323
Salim	0.130225
Annan	0.129884
Koirala	0.129837
Buzek	0.129828
Westendorp	0.12981
"King Abdullah II"	0.129634
Malu	0.129537
Shi	0.129219
Bashir	0.129198
Leung	0.129136
Shamshad	0.128773
Kromah	0.128558
McKinnon	0.128255
Fernandes	0.128111
"Jordanian King Abdullah Bin Hussein"	0.127878
Seleznyov	0.127836
Wu	0.12783
Hassan	0.127721
Severino	0.127706
Baz	0.127453
Mori	0.126954
al-Hariri	0.126841
Stroyev	0.126445
Xiong	0.12585
Mbeki	0.125841
Kennard	0.125747
Hoss	0.125692
Bulatovic	0.125567
Shipley	0.125369
"John Bruton"	0.125069
Lukashenko	0.124614
"Bulent Ecevit"	0.124161
"William Cohen"	0.124136
Shara	0.123982
"Atef Obeid"	0.123929
"Atal Bihari Vajpayee"	0.123891
"Secretary General Esmat Abdul-Meguid"	0.123786
Khamenei	0.123391
Nateq-Nouri	0.123385
Gadhafi	0.123376
Estrada	0.12316
"William S. Cohen"	0.122966
"Li Peng"	0.122692
Christopher	0.122455
Peres	0.122267
Nebiolo	0.122138
Barzani	0.121803
Sihanouk	0.121384
Prewitt	0.120969
"Lee Hsien Loong"	0.120889
Moi	0.1204
Jiang	0.120045
Ishihara	0.11966
"Abdul Karim Kabariti"	0.119552
"Tariq Aziz"	0.11955
"Phan Van Khai"	0.119546
"Prime Minister Banharn Silpa-Archa"	0.119335
Rabbani	0.11927
LaPierre	0.118568
Kumaratunga	0.118532
Daley	0.118461
Abbas	0.118441
"Goh Chok Tong"	0.118364
"Chuan Leekpai"	0.11804
Boutros-Ghali	0.117937
al-Shara	0.117642
Fino	0.1176
"President Lee Teng-hui"	0.117275
"Boutros Boutros Ghali"	0.117167
"Jose Maria Aznar"	0.116937
Obuchi	0.116859
"Yoshiro Mori"	0.11664
"Ivan Kostov"	0.116478
Holbrooke	0.116123
Kagame	0.116057
Shahak	0.115957
"Costas Simitis"	0.115925
"Paavo Lipponen"	0.115594
Bouteflika	0.115576
Soares	0.115529
"Radu Vasile"	0.115516
Rafsanjani	0.114988
Majko	0.114919
"Meles Zenawi"	0.114706
Murayama	0.114595
Dai	0.114531
Marulanda	0.114504
Cavanaugh	0.114136
Glickman	0.11362
Sharansky	0.113378
Masire	0.113225
Kiriyenko	0.113059
Iglesias	0.113051
"Atal Behari Vajpayee"	0.11302
Schrempp	0.112854
Piot	0.112785
Levitt	0.112754
Ghali	0.112677
"Javier Solana"	0.112666
"Dennis Ross"	0.112623
Obeid	0.112614
Larsen	0.112529
Zedillo	0.112528
Tella	0.112472
Blair	0.112119
Hodler	0.111865
Hamdoon	0.111607
Arafat	0.111308
Al-Faisal	0.111286
Mandela	0.111149
McCaffrey	0.110778
"Tang Jiaxuan"	0.110674
"Romano Prodi"	0.110414
"Rafik Hariri"	0.110369
Zeman	0.110328
Sakakibara	0.110304
Kato	0.109298
Mowlam	0.109163
"Inder Kumar Gujral"	0.109136
Rubin	0.108961
"Chavalit Yongchaiyudh"	0.108876
Yassin	0.108739
"Amr Moussa"	0.10817
Portillo	0.108018
Hybl	0.107942
"Jordanian King Hussein"	0.107776
Kissinger	0.107762
Berger	0.107732
"Saeb Erekat"	0.107654
Li	0.106949
Bondevik	0.106911
Nemtsov	0.106722
"Saudi King Fahd Ibn Abdul-Aziz"	0.106618
Kasyanov	0.10656
Buhe	0.106486
Schroeder	0.106444
Bedie	0.106094
"Defense William Cohen"	0.106041
Reimer	0.105934
Anand	0.105653
Hamid	0.105619
"Lamberto Dini"	0.105609
Zemin	0.105099
Peng	0.105011
Rua	0.104968
"Binyamin Netanyahu"	0.104926
"Chief Executive Tung Chee-hwa"	0.104747
millon	0.104527
"Victor Chernomyrdin"	0.104461
"King Abdullah"	0.104101
Tsvangirai	0.103976
Malan	0.103478
Buthelezi	0.103321
"Salim Hoss"	0.103315
Mahathir	0.103295
Wilhelm	0.103229
Mugabe	0.103158
Thapa	0.103039
al-Nahyan	0.103004
"Emperor Akihito"	0.102998
"George Robertson"	0.102935
Cardoso	0.10288
"Bill Skate"	0.102694
Chernomyrdin	0.102423
Stepashin	0.102342
Koehler	0.102165
Khatami	0.102079
"deputy foreign minister"	0.102053
"Frederick Sumaye"	0.101998
"Jerzy Buzek"	0.101979
Rahman	0.101898
Byers	0.101889
"Zhu Rongji"	0.101601
Wan	0.101598
Markovic	0.101545
Wolfson	0.101529
Ruggiero	0.101523
Ekeus	0.101515
pontiff	0.101392
"John Paul"	0.101151
Dodik	0.101138
Wenger	0.101061
Kesri	0.100917
Harmoko	0.100914
"Li Ruihuan"	0.100814
"Prime Minister Kamal El-Ganzouri"	0.100808
Beilin	0.100718
Krajisnik	0.100692
Sharon	0.100544
Pastrana	0.100424
"Jean Chretien"	0.100405
"Jiang Zemin"	0.100321
"Saudi King Fahd"	0.100238
))
(cement (desc 30386.8) (sims
steel	0.224384
fertilizer	0.212394
"building material"	0.193196
petrochemical	0.190328
Coal	0.187962
"pig iron"	0.177369
"iron ore"	0.175426
textile	0.172398
rubber	0.16663
petroleum	0.165863
foodstuff	0.16201
Concrete	0.161932
"crude oil"	0.161359
metal	0.155858
plastic	0.155007
timber	0.154642
aluminum	0.154502
Copper	0.152178
lumber	0.149396
grain	0.148929
newsprint	0.147262
machinery	0.142718
metallurgy	0.142052
"palm oil"	0.141716
"household appliance"	0.141699
cotton	0.140517
pharmaceutical	0.139097
garment	0.138815
sugar	0.137935
chemical	0.135719
iron	0.13444
ethylene	0.133932
"diesel oil"	0.133643
ore	0.132321
"food grain"	0.131639
"machine tool"	0.131575
wheat	0.13123
plaster	0.13118
pulp	0.129995
ceramic	0.12925
jute	0.128697
semiconductor	0.128042
"home appliance"	0.127416
oil	0.127306
"raw material"	0.125914
mineral	0.123373
urea	0.122548
POTASH	0.12236
footwear	0.121604
"cashew nut"	0.121434
"fuel oil"	0.120095
Plywood	0.118851
"food product"	0.118461
"consumer goods"	0.118295
electronics	0.117621
automobile	0.116315
fuel	0.116076
gravel	0.115786
limestone	0.114792
wool	0.114508
appliance	0.114237
tile	0.114032
"integrated circuit"	0.113768
rice	0.113222
"natural gas"	0.113203
billet	0.112955
"liquefied petroleum gas"	0.1128
"chemical industry"	0.112764
goods	0.112285
leather	0.111968
resin	0.111417
brick	0.111069
"wheat flour"	0.110826
marble	0.110286
tobacco	0.109808
"dairy product"	0.10947
LNG	0.109309
cereal	0.109286
maize	0.108629
asphalt	0.108223
gas	0.108072
handicraft	0.107688
fiber	0.107515
phosphate	0.106524
paint	0.106452
tea	0.106391
granite	0.105946
material	0.104436
"fish meal"	0.104176
"cooking oil"	0.104135
shipbuilding	0.103968
"spare part"	0.103085
"vegetable oil"	0.102777
product	0.10234
"electric power"	0.102061
beverage	0.101942
"motor vehicle"	0.10174
cocoa	0.101047
Gypsum	0.100158
furniture	0.100111
"cane sugar"	0.100094
aluminium	0.100014
gasoline	0.099641
"mineral water"	0.0996396
sand	0.0994138
apparel	0.098083
methanol	0.0980275
knitwear	0.0976535
"alcoholic beverage"	0.0972708
auto	0.0972339
adhesive	0.096929
glass	0.0967816
equipment	0.0958228
electricity	0.0953895
mining	0.0953023
food	0.0948593
detergent	0.094663
Tin	0.0944456
coffee	0.0940076
machine-building	0.0938773
Clothing	0.093584
vegetable	0.0928872
"steel plate"	0.0925667
pesticide	0.0924775
yarn	0.0923792
lubricant	0.0923175
meat	0.0922658
stone	0.091616
petrol	0.0915987
"durable goods"	0.0915313
sheeting	0.0912366
"canned food"	0.0911562
cosmetic	0.0911037
"stainless steel"	0.0910554
"coffee bean"	0.0909371
commodity	0.0909095
sugarcane	0.0901017
fabric	0.0899645
soybean	0.0894956
"frozen food"	0.089338
fruit	0.0886207
"electronic equipment"	0.0882811
crude	0.0880315
"synthetic fiber"	0.0878335
cargo	0.0877787
"lubricating oil"	0.0869292
poultry	0.0866487
carpet	0.0866216
sandbag	0.085372
flour	0.0853117
silk	0.0851767
"sea food"	0.0851267
wallboard	0.0844599
Tyre	0.0843002
seafood	0.0842955
medicine	0.0842357
"soft drink"	0.0842003
Zinc	0.0838444
"memory chip"	0.0838415
by-product	0.0837627
Firewood	0.0836627
processing	0.0836181
wax	0.0835527
clay	0.0832569
diesel	0.0831875
stucco	0.0831361
ingot	0.082973
kerosene	0.0829651
wood	0.0826679
"diesel fuel"	0.0826234
Garbage	0.0822383
liquor	0.0821906
"powdered milk"	0.082036
fodder	0.0818186
"consumer electronics"	0.081652
LPG	0.0813495
ammonia	0.0813107
telecommunication	0.0812036
beef	0.0811169
fibre	0.0810708
Pottery	0.0809163
salt	0.0808773
latex	0.0806954
air-conditioner	0.0805551
mud	0.0803579
freight	0.0803487
"precious metal"	0.0802751
"heating oil"	0.0797424
Nickel	0.0796783
"steel production"	0.0796676
hydrocarbon	0.0796383
charcoal	0.0794828
dirt	0.0787427
cigarette	0.0785949
powder	0.0785461
pork	0.0783405
"washing machine"	0.078139
"sugar cane"	0.0779969
porcelain	0.0775954
Beer	0.0774624
))
(cemetery (desc 47734.5) (sims
graveyard	0.151608
Grave	0.138719
"Arlington National Cemetery"	0.135276
tomb	0.131327
park	0.124905
church	0.120698
mosque	0.120181
synagogue	0.113253
mausoleum	0.110683
Monastery	0.110563
Cathedral	0.109627
museum	0.106784
chapel	0.106499
monument	0.106073
garden	0.105924
square	0.103676
memorial	0.100291
hospital	0.0977263
temple	0.0976962
palace	0.0971419
building	0.0961608
hotel	0.0958537
shrine	0.0942913
compound	0.0938631
village	0.0936364
neighborhood	0.0935132
Warehouse	0.0930586
stadium	0.092401
mall	0.0921452
ranch	0.091575
"shopping center"	0.090725
"burial ground"	0.0900222
residence	0.0896155
"parking lot"	0.08949
library	0.0887274
site	0.0881165
ruin	0.0879485
"funeral home"	0.0875823
Basilica	0.0874342
cafe	0.087265
hall	0.0872625
house	0.0870463
courthouse	0.0845886
sanctuary	0.0844361
airport	0.0842269
cave	0.0836316
clinic	0.0835615
restaurant	0.0832951
mansion	0.0832381
school	0.083209
shop	0.0830428
barrack	0.0829067
"police station"	0.0826764
street	0.0817401
plaza	0.0811758
home	0.0810637
Castle	0.0810416
center	0.0806391
"post office"	0.0802219
area	0.0801674
farm	0.0798336
complex	0.0797997
"amusement park"	0.0792407
"gas station"	0.079212
"city hall"	0.0791998
campus	0.0790123
Crypt	0.0788982
town	0.0787901
"community center"	0.0786512
zoo	0.0785926
"grocery store"	0.0781254
garage	0.0781068
courtyard	0.0778498
apartment	0.0778312
"shopping mall"	0.0775605
pit	0.0772997
factory	0.0770789
landfill	0.0769592
theater	0.0767569
"apartment building"	0.0765905
store	0.0760209
"train station"	0.0759035
farmhouse	0.0758829
morgue	0.0758113
motel	0.0754344
prison	0.0748176
shelter	0.0745258
resort	0.0739778
dump	0.0738815
estate	0.0729384
gallery	0.0722792
camp	0.0722601
barn	0.0719106
"railway station"	0.0717405
"swimming pool"	0.071432
Capitol	0.0714196
auditorium	0.0709978
district	0.0709081
orphanage	0.0708879
supermarket	0.0707722
embassy	0.0705748
"art gallery"	0.0705095
enclave	0.0702038
downtown	0.0700288
office	0.0698092
bakery	0.0695105
"office building"	0.0694646
Casino	0.0692683
"subway station"	0.0687694
Fort	0.0687298
forest	0.068559
Villa	0.0684493
gym	0.0680818
archive	0.0678713
depot	0.0676668
pasture	0.0676239
station	0.0675948
inn	0.0674414
headquarter	0.0673298
campground	0.067169
"movie theater"	0.067018
"elementary school"	0.0669995
"polling station"	0.0666055
tavern	0.0665375
"national park"	0.066464
"conference center"	0.0663636
Tower	0.0663632
"theme park"	0.0661906
jail	0.0661019
dwelling	0.0659743
suburb	0.0659363
property	0.0658962
yard	0.0657222
cottage	0.0655398
hut	0.0653671
terminal	0.0652511
dormitory	0.0647952
"fire station"	0.0647489
"Tiananmen Square"	0.0646903
facility	0.0646199
"house of worship"	0.0645804
bookstore	0.0644936
"place of worship"	0.0643335
mortuary	0.06408
plantation	0.0640762
playground	0.0640699
orchard	0.0638702
"burial site"	0.0638554
lake	0.0637882
"vacant lot"	0.0637175
hangar	0.0636054
plant	0.0635959
boulevard	0.063404
subdivision	0.0632634
bar	0.0632384
room	0.0631618
"industrial park"	0.0631505
pub	0.0631092
mill	0.063054
dealership	0.0629629
"department store"	0.0629004
basement	0.0627893
checkpoint	0.0627006
"golf course"	0.0626219
battlefield	0.0625438
"botanical garden"	0.0625147
burial	0.0624836
"medical center"	0.0623973
"U.S. Embassy"	0.0621704
backyard	0.0621394
road	0.0621385
"liquor store"	0.062133
grotto	0.0620738
valley	0.0620423
laboratory	0.0620405
dock	0.0620146
cabin	0.061983
landmark	0.0618409
beach	0.061819
field	0.0616271
classroom	0.0616218
"town hall"	0.0615599
amphitheater	0.0615546
coffin	0.0615448
altar	0.061532
"nursing home"	0.0615136
studio	0.061465
"opera house"	0.0614083
location	0.0614019
nursery	0.0613069
courtroom	0.0612788
tunnel	0.0612423
land	0.0611782
fortress	0.0609423
pond	0.0608563
statue	0.0608376
lawn	0.0606515
harbor	0.0606102
winery	0.0605054
"day care center"	0.0601607
))
(Cendant (desc 5205.78) (sims
RJR	0.223641
"Thermo Electron"	0.214019
McKesson	0.203784
Sunbeam	0.194215
"Rite Aid"	0.184705
Emulex	0.183783
"RJR Nabisco"	0.175487
Warnaco	0.168104
TYCO	0.167948
NORTHROP	0.167103
ALZA	0.163752
AMR	0.160675
COLTEC	0.159094
NatWest	0.15569
Aetna	0.154611
AIG	0.154609
UBS	0.154553
Totalfina	0.152678
TELLABS	0.149973
VENATOR	0.149919
PLDT	0.149859
Litton	0.148353
SkyTel	0.148321
"U.S. Trust"	0.147895
NiSource	0.147354
Ciena	0.145695
WPP	0.144426
"First Union"	0.144376
Pairgain	0.144236
Pepsico	0.143999
SmithKline	0.143915
Honeywell	0.143857
Healtheon/WebMD	0.143623
Qwest	0.1435
ascend	0.143131
Marketspan	0.142661
AutoNation	0.142385
UAL	0.142006
"Cendant Corp."	0.141607
Nextel	0.139788
"P&AMP;G"	0.139517
Starwood	0.139047
Mannesmann	0.138727
REVLON	0.138299
BankAmerica	0.138254
Genentech	0.137092
Tenneco	0.135353
"Times Co."	0.134904
"National Grid"	0.13412
BofA	0.134007
Halliburton	0.133749
CMGI	0.133409
Livent	0.132712
Vivendi	0.132186
Webvan	0.131498
GTE	0.130496
Seagate	0.130347
Norwest	0.130164
Raytheon	0.130029
E-LOAN	0.129394
Healtheon	0.129299
Daimler	0.128989
Genzyme	0.128943
MiniMed	0.128598
Warner-Lambert	0.128559
"MCI WorldCom"	0.127957
Georgia-Pacific	0.127574
Nabisco	0.127489
Viacom	0.127459
Glaxo	0.126453
VoiceStream	0.125964
WorldCom	0.125859
"Niagara Mohawk"	0.125466
EMC	0.125449
"American Home"	0.125291
"U S West"	0.12505
GPU	0.124779
"Global Crossing"	0.12472
CCE	0.124544
BCE	0.124526
Gillette	0.12434
CUC	0.122734
Alcoa	0.121978
ExciteAtHome	0.121841
"Food Lion"	0.121426
Biogen	0.121221
EarthLink	0.12116
Mattel	0.121098
"BP Amoco"	0.120765
Alltel	0.120676
SBC	0.120484
IDT	0.120256
Texaco	0.119834
"Berkshire Hathaway"	0.119669
"Phelps Dodge"	0.11928
Medtronic	0.119095
SGI	0.118886
Seagram	0.118882
Cerent	0.118736
"Stride Rite"	0.118699
"Times Mirror"	0.1185
"Waste Management"	0.118389
ARCO	0.118273
"Telecom Italia"	0.118036
"Pacific Century"	0.117369
Amgen	0.117234
Nortel	0.117021
"HBO &AMP; Co."	0.116865
LVMH	0.116656
Eurotunnel	0.116545
Providian	0.116186
Broadcom	0.115872
"Boston Scientific"	0.11566
Pfizer	0.115367
MindSpring	0.114926
"Air Canada"	0.114711
"Y&AMP;R"	0.114577
AlliedSignal	0.11406
GANNETT	0.113812
Clorox	0.113467
Pharmacia	0.113138
"USA Networks"	0.112917
Bestfoods	0.112887
"True North"	0.112698
Terra	0.112637
ENTREMED	0.112627
Lockheed	0.112524
"News Corp."	0.112506
Aegon	0.112461
Citigroup	0.112303
Dupont	0.112117
Berkshire	0.111943
Unilever	0.111786
"Sara Lee"	0.111763
Avondale	0.111321
Kodak	0.110692
"Ford Motor"	0.110679
Maytag	0.110637
Compaq	0.110131
Cisco	0.109786
GEC	0.109782
Cabletron	0.10972
Gazprom	0.109692
Alcan	0.109226
Tandy	0.109215
"Learning Co."	0.109121
Bristol-Myers	0.10902
XYLAN	0.108953
DaimlerChrysler	0.108936
"Time Warner"	0.108561
Exxon	0.108551
Humana	0.107789
"Bausch &AMP; Lomb"	0.107502
Broderbund	0.107243
BellSouth	0.106944
Delphi	0.106654
Astra	0.106575
HBOC	0.106534
"US Airways"	0.106321
Asarco	0.105938
Novartis	0.105687
Agilent	0.105633
Geron	0.105531
Omnicom	0.105522
"Bankers Trust"	0.105488
"Union Carbide"	0.105368
"Con Ed"	0.10533
Telefonica	0.104852
Checkfree	0.104621
Olivetti	0.104305
"Burlington Northern"	0.104141
Novell	0.103893
"Royal Bank"	0.103608
Paxson	0.103482
"Computer Associates"	0.103365
Vodafone	0.103176
Gymboree	0.103062
BankBoston	0.103031
Hilton	0.102963
Qualcomm	0.102941
Transamerica	0.10277
Sumitomo	0.102681
Zapata	0.102616
Lilco	0.102063
Bertelsmann	0.102058
"Newport News"	0.102025
"Bell Atlantic"	0.101942
Kroger	0.101906
Goodrich	0.101888
"Wells Fargo"	0.101238
"J&AMP;J"	0.101035
Interpublic	0.100475
Monsanto	0.10019
Scientific-Atlanta	0.100144
TCI	0.0999103
SDL	0.0996825
Mediaone	0.0996543
ICI	0.0994388
Mobil	0.0994024
Enron	0.0992745
))
("Cendant Corp." (desc 1001.56) (sims
"Viacom Inc."	0.2079
"Federated Department Stores"	0.192095
"Dow Jones &AMP; Co."	0.180157
"Hughes Electronics Corp."	0.168931
YankeeNets	0.159703
Diageo	0.151658
"Ford Motor Company"	0.150107
"Chevron Corp."	0.148935
"UAL Corp."	0.146128
"Pepsico Inc."	0.145574
"Seagram Co."	0.143557
Cendant	0.141607
"American International Group"	0.13807
"Times Co."	0.134899
"CBS Corp."	0.132021
Publicis	0.128999
"Chase Manhattan Corp."	0.128312
"Levi Strauss &AMP; Co."	0.127371
"Halliburton Co."	0.12618
"New York Times Co."	0.125635
"Aetna Inc."	0.122646
"Deutsche Bank AG"	0.121945
"Mattel Inc."	0.121833
"Hyundai Group"	0.121819
"Prudential Insurance Co."	0.12147
"National Grid"	0.12134
China.com	0.120239
"Volkswagen AG"	0.119243
"Hearst Corp."	0.11859
"Hughes Electronics"	0.118298
Omnicom	0.115912
"Gap Inc."	0.114951
WPP	0.11493
"UBS AG"	0.114808
"Sony Corp."	0.114344
"Metropolitan Transportation Authority"	0.113156
"Time Warner Inc."	0.11287
"BankAmerica Corp."	0.112526
"American Home Products Corp."	0.112388
"SBC Communications Inc."	0.111913
"English Football Association"	0.110897
"American Home Products"	0.109774
"Bertelsmann AG"	0.109493
"General Electric Co."	0.10931
"RJR Nabisco"	0.109008
"Hearst Corporation"	0.108664
Unilever	0.108261
"Northeast Utilities"	0.107967
Pepsico	0.107931
"Fleet Financial Group"	0.10743
"Bank of Montreal"	0.105631
"Bell Atlantic Corp."	0.10462
"Fallon McElligott"	0.104555
"Motion Picture Association of America"	0.104309
"Enron Corp."	0.104159
"Sydney Organizing Committee"	0.1024
Interpublic	0.102331
Warnaco	0.101743
Cablevision	0.101681
"Revolutionary Guards"	0.101509
MCA	0.101508
"Bausch &AMP; Lomb"	0.101502
"Omnicom Group"	0.101373
"Network Associates"	0.101294
"National Association of Securities Dealers"	0.101132
"CMGI Inc."	0.101083
"AMR Corp."	0.10009
AMR	0.100054
"Travelers Group"	0.0997459
"News Corp."	0.0995335
Bertelsmann	0.0992063
"Air Line Pilots Association"	0.0989261
"Mannesmann AG"	0.0988402
Drugstore.com	0.0988031
"Texaco Inc."	0.0987392
"Philip Morris Cos."	0.098589
"Russian Communist Party"	0.098031
"Berkshire Hathaway"	0.0978702
"Boston Scientific"	0.0976761
"Walt Disney Co."	0.0976505
"Gillette Co."	0.0974623
GEC	0.0961076
Primedia	0.0957439
"Supreme Soviet"	0.0952118
Novartis	0.0951832
"Reed Elsevier"	0.0940949
"Goldman Sachs Group"	0.0938795
Marketspan	0.0937972
NSC	0.0937176
"Knight Ridder"	0.092856
"USA Networks"	0.0924652
"British Telecom"	0.0923231
"Mobil Corp."	0.0922502
"Monsanto Co."	0.0921753
Instinet	0.0919655
"Burlington Northern"	0.0919007
"Daimlerchrysler AG"	0.0917245
"First Union Corp."	0.0910099
"Cincinnati Enquirer"	0.0906549
"Stock Exchange of Hong Kong"	0.0904341
"U.S. Export-Import Bank"	0.0902563
"New Jersey State Police"	0.0901176
Yukos	0.0899667
"GE Capital"	0.0896813
"Sara Lee"	0.0891379
"Staples Inc."	0.0888961
UBS	0.0886533
"Nature Conservancy"	0.0881298
"Warner-Lambert Co."	0.0880865
Medtronic	0.0876073
Halliburton	0.0874666
Viacom	0.087188
"Royal Dutch/Shell"	0.0871513
AIG	0.0869919
"Bankers Trust Corp."	0.0867459
"Bristol-Myers Squibb"	0.0865624
"Symantec Corp."	0.0863543
Schlumberger	0.0862846
"Recording Industry Association of America"	0.0861419
"Oracle Corp."	0.085897
"Times Mirror Co."	0.0857044
"ethics committee"	0.0856927
Bestfoods	0.0856741
"Johnson &AMP; Johnson"	0.0855439
"New York Civil Liberties Union"	0.0853513
Federated	0.0852362
Genzyme	0.0849704
"Wal-Mart Stores"	0.0849234
"Daewoo Group"	0.0842478
Eni	0.0839654
"Motorola Inc."	0.0839574
"Democratic Senatorial Campaign Committee"	0.0838655
"Russian Duma"	0.0837093
"Hong Kong Monetary Authority"	0.083489
"Raytheon Co."	0.0834232
"Ameritech Corp."	0.0833735
SmithKline	0.0833373
"Congress (NPC) Standing Committee"	0.0833218
Vivendi	0.0832867
"Credit Suisse"	0.0832437
"Aetna U.S. Healthcare"	0.0832033
"Merck &AMP; Co."	0.0831905
"International Business Machines Corp."	0.082987
Loewen	0.0823023
"Charles Schwab &AMP; Co."	0.0822788
"Nevada Athletic Commission"	0.0819205
"Salt Lake Organizing Committee"	0.0817912
Oneidas	0.0817214
"Compaq Computer"	0.0816902
Aventis	0.0812247
"Housing Authority"	0.0810872
All-Tech	0.0810474
"Time Inc."	0.0809773
"Liberty Media"	0.0809119
"House Budget Committee"	0.0807242
"Securities Industry Association"	0.0806316
"Tribune Co."	0.0799655
"Ford Motor Co."	0.0795005
"Cuban American National Foundation"	0.0794913
Telefonica	0.0791988
"Citigroup Inc."	0.0791253
"General Electric"	0.0789911
Hasbro	0.0788371
"Real Networks"	0.0787232
"Eastman Kodak"	0.0785207
"General Motors Corp."	0.0784653
"Lotus Development Corp."	0.0783509
BofA	0.0783423
"Merrill Lynch &AMP; Co."	0.0781864
"Philip Morris"	0.0780063
UNMOVIC	0.0779119
"Exxon Corp."	0.0778558
"World Jewish Congress"	0.0775394
"Democratic Leadership Council"	0.0775165
"Volvo AB"	0.0774153
"National Defense Commission"	0.0773658
"Central Election Commission"	0.0772631
"Olympic Committee"	0.077206
"Saatchi &AMP; Saatchi"	0.0768441
"Columbia Pictures"	0.0766461
"Eli Lilly"	0.076449
Citigroup	0.0764473
AstraZeneca	0.0763515
"HSBC Holdings"	0.0763077
"National Republican Congressional Committee"	0.0761715
"American Family Publishers"	0.0757741
"Lesotho Congress"	0.0757388
"Con Edison"	0.0757011
"Boeing company"	0.0755843
"Joint Military Commission"	0.0755298
"Democratic Congressional Campaign Committee"	0.0754294
"Provisional Urban Council"	0.0753104
"Siemens AG"	0.0752834
"Ford Foundation"	0.0752266
"Electronic Arts"	0.0750289
"Independent National Electoral Commission"	0.0750072
"Olympic Council of Asia"	0.0749991
"China Securities Regulatory Commission"	0.0749663
"National Semiconductor"	0.0749053
"futures exchange"	0.0747789
))
(censor (desc 8775.04) (sims
"antitrust regulator"	0.0793962
regulator	0.0768046
"planning board"	0.0713979
"Federal Communications Commission"	0.0709128
FDA	0.0700576
minder	0.0696757
arbitrator	0.065654
"Food and Drug Administration"	0.0655787
watchdog	0.0639007
censorship	0.0618626
execs	0.0610441
FCC	0.0610008
IAAF	0.0607525
"ethics committee"	0.0586268
steward	0.0582219
"Federal Trade Commission"	0.0571008
regent	0.0570898
FTC	0.0562535
"Justice Department"	0.0559813
auditor	0.0559443
overseer	0.0546655
honcho	0.0546616
"trial court"	0.0543072
"International Amateur Athletics Federation"	0.0528657
NCAA	0.0526775
"EU Commission"	0.0525382
"Justice Ministry"	0.0524982
Registrar	0.0524858
"intelligence officer"	0.0524397
newsman	0.0522321
FAA	0.0518442
scriptwriter	0.051701
"Securities and Exchange Commission"	0.0516654
"Parades Commission"	0.0514997
translator	0.0514065
acquirer	0.0513157
"traffic cop"	0.0505662
correspondent	0.0503812
NRC	0.0502015
hard-liner	0.0501612
publicist	0.0500352
naysayer	0.0497677
"US Supreme Court"	0.0497513
"intelligence agent"	0.0496827
"Department of Justice"	0.0496694
interrogator	0.0494691
IRS	0.0494661
arbiter	0.0493027
trustee	0.0491919
"Robert Aventajado"	0.049168
"Texas Legislature"	0.0489408
"United Nations Security Council"	0.0488198
EPA	0.0487516
"Education Ministry"	0.0486265
"planning commission"	0.0481555
bureaucrat	0.0479891
"inspector general"	0.0479662
exec	0.0477617
"Philippine Senate"	0.0476258
hardliner	0.0475354
"North Atlantic Council"	0.0472277
Ombudsman	0.0472044
"secret service"	0.0471877
boss	0.0470974
"board of education"	0.0468702
"naval officer"	0.046797
Politburo	0.0467923
"Football Association"	0.0465567
FEC	0.0462541
"regulatory authority"	0.0462395
"state legislature"	0.0462212
Guardian	0.046168
Programmer	0.0461608
"security consultant"	0.0459833
"financial officer"	0.0458883
middleman	0.0455057
"foster parent"	0.0453574
"school board"	0.0453153
Ashrawi	0.0452276
"House Appropriations Committee"	0.0451206
"Modern Library"	0.0451115
"Republican Congress"	0.0450422
stylist	0.0448999
"U.N. Security Council"	0.0448961
"Environmental Protection Agency"	0.0447466
"board of regents"	0.0446403
middlemen	0.044481
captor	0.0443756
"Health Department"	0.0443156
"high court"	0.0442347
Majlis	0.0441803
decision-makers	0.0438094
"art director"	0.0437483
"Senate Appropriations Committee"	0.0436399
"Department of Education"	0.043604
Magistrate	0.0434887
pundit	0.0434827
"Pervez Musharraf"	0.04346
"high command"	0.0434572
"International Olympic Committee"	0.0433873
accountant	0.0433118
"European Parliament"	0.0432997
stuntman	0.0432809
"Jack Straw"	0.0432236
trespasser	0.0430197
gatekeeper	0.0429863
"public defender"	0.0429407
cinematographer	0.0428586
matchmaker	0.0427366
Post-Intelligencer	0.042721
troubleshooter	0.0425218
liaison	0.0424967
"postmaster general"	0.0423585
"Internal Revenue Service"	0.0422987
"Health and Welfare Ministry"	0.042255
custodian	0.0422542
"tax collector"	0.0421955
CMAG	0.0421784
"news show"	0.042165
Granma	0.0421226
informant	0.0420561
"appeals court"	0.0420492
bureaucracy	0.0420294
"guardian angel"	0.0420293
gadfly	0.0420175
plc	0.0419444
spokesperson	0.0419423
chaplain	0.0419062
"decision maker"	0.041859
USDA	0.0418323
reviewer	0.0417907
"federal official"	0.0417295
Korman	0.0416555
tormentor	0.0415939
tutor	0.0415541
aggressor	0.0414925
oppressor	0.0414738
NLRB	0.0414525
attorney-General	0.0413962
"regulatory agency"	0.0413744
archivist	0.0413584
supervisor	0.0413165
"Supreme Judicial Court"	0.0412832
Duma	0.0411823
lobbyist	0.0411619
go-between	0.0411531
"clearing house"	0.0411375
"investment banker"	0.0411317
"Judiciary Committee"	0.0410482
statistician	0.0408968
psychiatrist	0.0408148
"federal court"	0.0407795
"Department of Corrections"	0.0407612
hierarchy	0.0407317
"governing board"	0.0406949
"Ministry of Health"	0.0406909
vet	0.040684
"Balanced Budget Act"	0.0406741
"U.N. Sanctions Committee"	0.0406194
SEC	0.0406188
cleric	0.0405972
actuary	0.0405947
"Port Authority of New York"	0.0404632
"press agency"	0.0403162
servant	0.0402707
"chief justice"	0.0402269
skeptic	0.0402145
commentator	0.0401144
technician	0.0400372
))
(censorship (desc 18402.8) (sims
harassment	0.119162
restriction	0.117279
repression	0.116718
"price control"	0.116172
persecution	0.10844
discrimination	0.107882
intimidation	0.101171
racism	0.0979782
interference	0.0947428
protectionism	0.09147
"capital punishment"	0.0902472
oversight	0.0894209
segregation	0.088891
piracy	0.0874569
coercion	0.0863278
blackmail	0.0848583
sanction	0.0839983
regulation	0.0827833
intrusion	0.0824313
closure	0.0822145
extortion	0.0821407
punishment	0.0819019
manipulation	0.0818919
anti-Semitism	0.081214
intervention	0.0810925
secrecy	0.0808643
taxation	0.0803472
propaganda	0.0798728
suppression	0.0796065
"death penalty"	0.0792474
"sexual harassment"	0.0790294
conscription	0.0789292
restraint	0.0784739
prejudice	0.077286
corruption	0.076697
clampdown	0.0764053
embargo	0.0763419
brutality	0.0762971
aggression	0.0761506
violence	0.0754556
intolerance	0.0752405
bias	0.0748984
terrorism	0.0747508
bigotry	0.074632
prohibition	0.0744691
"gun control"	0.0740704
oppression	0.0733732
abuse	0.0729493
separatism	0.07259
"double standard"	0.0723364
crackdown	0.0719317
enforcement	0.0717775
hegemony	0.0714261
dictatorship	0.0713022
Proliferation	0.0711758
rationing	0.0709622
accountability	0.0706021
authoritarianism	0.0704954
torture	0.070276
confidentiality	0.0701293
forfeiture	0.0698603
detention	0.0696994
blackout	0.0692547
"trade embargo"	0.0685917
curfew	0.0683509
scrutiny	0.0683434
blockade	0.0683118
supervision	0.0682901
vandalism	0.0678043
immigration	0.0677787
deportation	0.067716
"anti-dumping duty"	0.0674094
infringement	0.0670815
hegemonism	0.0670321
slavery	0.0667479
neglect	0.0666144
fundamentalism	0.066565
slander	0.0662268
"military action"	0.0662244
invasion	0.0658355
constraint	0.0655102
Encryption	0.065403
euthanasia	0.06455
disclosure	0.0641997
espionage	0.0640682
tyranny	0.0638754
provocation	0.0636056
morality	0.0635652
obstruction	0.0634918
moratorium	0.0631342
censure	0.0630034
exploitation	0.0628646
protection	0.062858
freedom	0.0628284
tolerance	0.0627593
boycott	0.0627258
"child abuse"	0.0624773
isolation	0.0624105
bribery	0.0623614
subsidy	0.0623412
separation	0.0620853
isolationism	0.062026
censor	0.0618626
instability	0.0616909
injustice	0.061601
looting	0.0613989
expulsion	0.0613753
fraud	0.0613608
legislation	0.061316
tampering	0.0612754
hardship	0.0612476
requirement	0.0608356
"rate increase"	0.0606984
"martial law"	0.060648
distortion	0.0606372
collusion	0.0606361
"family planning"	0.0605672
sabotage	0.0603109
homophobia	0.0601874
favoritism	0.0601669
discipline	0.0599921
ownership	0.0599656
"rule of law"	0.0597493
quota	0.0596078
overkill	0.059573
inspection	0.0595399
takeover	0.0594502
Privacy	0.0594411
quarantine	0.0592821
destabilization	0.0591073
"insider trading"	0.0590976
extremism	0.0587463
governance	0.0587439
hypocrisy	0.0587294
ethic	0.0586322
occupation	0.058581
tariff	0.0585504
lawlessness	0.0584284
"freedom of the press"	0.0584265
domination	0.0583629
"freedom of speech"	0.0581767
surveillance	0.0581578
confiscation	0.05815
nationalization	0.0580013
homelessness	0.0579007
transparency	0.0578894
legalization	0.0578864
Limitation	0.0577503
violation	0.0573478
dumping	0.0573326
thuggery	0.057327
zoning	0.0569973
inaction	0.0569735
Privatization	0.0568961
gambling	0.0568748
retaliation	0.0568575
austerity	0.0567231
militarism	0.056523
deception	0.0562181
voucher	0.0561116
secession	0.0560179
crime	0.0559022
seizure	0.0558929
arrogance	0.0558806
amnesty	0.0558515
condemnation	0.0558458
destruction	0.0558075
removal	0.0558038
cronyism	0.055764
persuasion	0.0555513
abortion	0.0555378
subversion	0.055531
"sales tax"	0.055442
tactic	0.0554352
"budget cut"	0.0554314
criticism	0.0553773
distribution	0.0553011
correctness	0.0550904
exclusion	0.0548449
activism	0.0547859
nepotism	0.0547717
hostility	0.0546844
"civil liberty"	0.0546786
misuse	0.054599
"trade barrier"	0.0544745
democracy	0.0542286
poverty	0.0540867
kidnapping	0.0540849
involvement	0.0539449
GST	0.0538882
gridlock	0.0538293
Advertising	0.0537923
eviction	0.0535644
"safety measure"	0.0535484
"power politics"	0.0535423
pricing	0.0535413
behavior	0.0535052
dissemination	0.0533814
Copyright	0.0533154
warfare	0.0533111
))
(censure (desc 28773.4) (sims
impeachment	0.159292
reprimand	0.149176
"gun control"	0.117646
removal	0.111636
"death penalty"	0.106641
"trade bill"	0.104771
punishment	0.103944
legislation	0.10204
Dismissal	0.100644
Shays-Meehan	0.100023
Acquittal	0.0992974
"tax cut"	0.0986707
amendment	0.0972387
condemnation	0.0969892
resolution	0.0960299
sanction	0.0957639
rebuke	0.0948417
repeal	0.093115
compromise	0.0923905
voucher	0.0921598
"capital punishment"	0.0918119
"finding of fact"	0.0910283
expulsion	0.0907393
override	0.0900424
ratification	0.0895886
statehood	0.0867212
intervention	0.0867197
ban	0.0862916
"tax increase"	0.0862406
secession	0.0861244
action	0.0843331
referendum	0.0833941
lifting	0.0822382
measure	0.0812031
"Proposition @@"	0.0809844
decertification	0.0802743
"military action"	0.0794283
overhaul	0.0793204
pardon	0.0787789
renewal	0.078272
bill	0.0780935
PNTR	0.0779272
"Proposition @"	0.0774509
suspension	0.0771857
moratorium	0.0765681
clemency	0.0760538
inquiry	0.0759861
dollarization	0.0757871
motion	0.0757268
reform	0.0754559
resignation	0.0751587
"Proposition @@@"	0.0749429
"Bill of Rights"	0.0748976
proposal	0.0746656
candidacy	0.074043
prosecution	0.0740406
"free trade"	0.0728545
fine	0.0726109
legalization	0.0722341
remedy	0.0718178
imprisonment	0.0717831
withdrawal	0.071676
"compromise plan"	0.0713597
abortion	0.0711015
restriction	0.0710475
adoption	0.0700968
perjury	0.069609
forfeiture	0.0695123
conviction	0.0690881
apology	0.0688055
ouster	0.068373
Privatization	0.0678529
Treaty	0.067263
boycott	0.0671948
"rate increase"	0.0670435
initiative	0.0668359
forgiveness	0.0666202
independence	0.0662309
penalty	0.0660758
autonomy	0.0658156
revision	0.0654217
embargo	0.0651314
disclosure	0.0651285
"budget cut"	0.0650273
"income tax"	0.0645335
extension	0.0644921
"tax reduction"	0.0641122
sentence	0.0639504
"legal action"	0.0638492
settlement	0.0635729
veto	0.0632759
peace	0.0632753
proceeding	0.0632266
censorship	0.0630034
"Comprehensive Test Ban Treaty"	0.0628003
appointment	0.0626697
Liberalization	0.0625455
dissolution	0.0624897
deportation	0.0623892
postponement	0.0623157
breakup	0.0623093
cease-fire	0.0622907
nomination	0.0622221
pullback	0.0620641
Ordinance	0.0617351
cancellation	0.0614296
deregulation	0.0613322
solution	0.0610179
deployment	0.0609996
alternative	0.0608476
endorsement	0.0608326
extradition	0.0605496
takeover	0.0603011
mediation	0.0602857
confirmation	0.0601782
termination	0.0599981
accountability	0.0599193
reconciliation	0.0598996
regulation	0.0596834
scrutiny	0.0595105
amnesty	0.0593449
proposition	0.0591652
Declaration	0.0588151
passage	0.0585336
"rate cut"	0.0585304
rejection	0.0584152
criticism	0.0583857
"missile defense system"	0.05818
approval	0.0581556
merger	0.0580284
reparation	0.0580251
pact	0.057956
"policy change"	0.0578397
"tax bill"	0.057765
unionization	0.0576228
reduction	0.0575361
reunification	0.0573319
demotion	0.0571738
acceptance	0.0571052
swap	0.0567464
provision	0.0566701
closure	0.0566541
abolition	0.0565053
designation	0.056391
reelection	0.0563607
decree	0.0562093
sampling	0.0560149
mistrial	0.0559698
resumption	0.0557629
enforcement	0.0555185
recommendation	0.0549391
funding	0.054807
plea	0.0546704
denunciation	0.05452
expansion	0.0542414
"pay raise"	0.0539795
separation	0.0539297
leniency	0.0539139
disqualification	0.0539065
"tax break"	0.0538772
"spending cut"	0.053847
lottery	0.0535972
judgment	0.0535471
oversight	0.0534776
democracy	0.0534642
accord	0.0533633
integration	0.0532469
separatism	0.0531832
enlargement	0.0531219
arbitration	0.0529427
revocation	0.0528976
procedure	0.0527074
indictment	0.0527041
membership	0.0526963
airstrikes	0.0526847
rollback	0.0526753
probation	0.0525163
quota	0.0523802
subpoena	0.0523149
lawsuit	0.0523008
modification	0.0522519
dialogue	0.0521101
easing	0.052094
realignment	0.0520733
tax	0.0520063
notification	0.0519884
restoration	0.0519518
bailout	0.0517778
imposition	0.0517423
representation	0.0513964
creationism	0.0512833
replay	0.0512371
inclusion	0.0508412
testing	0.0508194
involvement	0.0506408
reorganization	0.0505133
"prison sentence"	0.0504794
ordination	0.050464
statute	0.0502711
Senate	0.0501952
))
(census (desc 40829) (sims
"head count"	0.136161
survey	0.129665
"Census Bureau"	0.124238
"Census @@@@"	0.114313
"U.S. Census Bureau"	0.102992
headcount	0.0954849
enumeration	0.0912976
audit	0.0878553
poll	0.0872469
sampling	0.0868831
election	0.0857493
study	0.0839905
count	0.0834144
registration	0.0831322
inspection	0.0805245
test	0.078688
statistic	0.0786835
"general election"	0.0786466
autopsy	0.0779282
research	0.0745381
investigation	0.0740454
project	0.073664
examination	0.0736506
testing	0.0728601
"family planning"	0.0722239
education	0.0717094
referendum	0.0714645
assessment	0.0714202
reform	0.0713921
Privatization	0.0710635
ballot	0.0709822
evaluation	0.0707214
excavation	0.0706515
questionnaire	0.070131
budget	0.0701019
data	0.0700053
experiment	0.0697462
calculation	0.068371
inquiry	0.0672111
filing	0.0671968
Exam	0.0666148
analysis	0.0661087
cleanup	0.0655954
operation	0.065269
balloting	0.0651382
measurement	0.0646802
"war game"	0.0646281
policy	0.0645544
construction	0.0642851
expansion	0.0641416
renovation	0.0639002
process	0.0637349
repatriation	0.0636082
health	0.0635323
initiative	0.0633621
development	0.0627468
estimate	0.0627242
"health care"	0.0627191
distribution	0.0619055
polling	0.0618269
exercise	0.0616523
employment	0.0616284
projection	0.0616025
"Bureau of Labor Statistics"	0.0616002
legislation	0.0611797
voting	0.0611351
reconstruction	0.0610273
evacuation	0.060935
"Department of Education"	0.0607442
abortion	0.060688
Housing	0.0603947
"financial statement"	0.0603929
"blood test"	0.0600731
Implementation	0.0598817
"tax return"	0.0597594
conservation	0.0595721
"Congressional Budget Office"	0.0594526
population	0.0593988
trial	0.0587637
overhaul	0.0584201
rehabilitation	0.0580606
review	0.0580306
"training program"	0.057886
production	0.0578697
"work stoppage"	0.0577242
negotiation	0.0577001
CDC	0.0576559
restructuring	0.0574615
"higher education"	0.0574341
"Commerce Department"	0.0574012
deployment	0.0573795
phase	0.0573632
management	0.0573021
"medical examination"	0.0571793
appraisal	0.0571519
resettlement	0.0567795
auction	0.0567016
"tax cut"	0.0564462
immigration	0.0564278
"Department of Commerce"	0.0564133
procedure	0.0563087
agriculture	0.0562667
"public opinion poll"	0.0559922
"health service"	0.0558898
damming	0.0557472
"development plan"	0.0557233
conversion	0.0556902
reshuffle	0.0555929
conference	0.0555617
Eurostat	0.0554136
tax	0.0553343
document	0.0552766
bill	0.0551333
activity	0.055124
screening	0.0551086
action	0.0550218
withdrawal	0.0549565
repair	0.0548359
transplant	0.0547395
bailout	0.0547262
undertaking	0.0546696
"social security"	0.0546497
tabulation	0.0545941
"State Statistics Bureau"	0.0545539
summit	0.0544357
"social service"	0.0544112
planning	0.054328
"foreign policy"	0.0543171
bureau	0.0542315
"inflation rate"	0.0541536
protection	0.0540616
agreement	0.0540262
"economic policy"	0.0538342
treatment	0.0537442
tally	0.0536929
forecast	0.0536882
constitution	0.0535197
rollout	0.0535108
fair	0.0534905
disaster	0.0533662
hearing	0.0533181
restoration	0.0532483
database	0.0531093
maintenance	0.0531085
modernization	0.0530339
training	0.0530333
"political campaign"	0.0529545
"education program"	0.0529493
immunization	0.0529258
custom	0.0528692
"Commonwealth Games"	0.052725
surveillance	0.0527039
scheme	0.0526937
transaction	0.0526857
Mission	0.0526533
"fiscal year"	0.0526448
pullback	0.0525918
pullout	0.0525718
Declaration	0.0525324
department	0.0523542
contest	0.0523356
disarmament	0.0522933
"rehabilitation program"	0.0522467
agency	0.0522016
checkup	0.0521369
merger	0.0521286
administration	0.05212
method	0.0520405
sector	0.051925
information	0.0519078
intervention	0.0518573
preservation	0.0517813
planting	0.0516758
enforcement	0.0516638
emergency	0.0516515
"Health Department"	0.051558
proceeding	0.0515487
probe	0.051522
integration	0.0514024
consultation	0.051284
primary	0.0512396
medicare	0.0511497
scan	0.051126
harvest	0.0510298
accounting	0.0509971
"pay raise"	0.0509545
science	0.0509376
reduction	0.0507729
procurement	0.0507643
intelligence	0.0507473
lottery	0.0507145
proposal	0.0506995
reorganization	0.0506555
regulation	0.0505657
security	0.0505011
welfare	0.050449
surplus	0.0503947
"growth rate"	0.0503764
"human right"	0.0503079
aid	0.0502158
))
("Census @@@@" (desc 1289.53) (sims
W-@	0.167267
census	0.114313
two-digit	0.0963413
reapportionment	0.0925453
PPI	0.0829307
Tankan	0.0772292
"Census Bureau"	0.0755613
"order form"	0.0739855
buyback	0.0692475
Zagat	0.0665561
subpar	0.0662195
"Nielsen Media Research"	0.0655614
lastest	0.0655603
SBA	0.0653532
INEC	0.0632021
counterterrorism	0.0614334
"Australian Bureau of Statistics"	0.0613084
"power of attorney"	0.0587782
second-quarter	0.0587551
"meteorological satellite"	0.0575328
SAS	0.0571146
"morse code"	0.0568314
"medical history"	0.0563006
"weather satellite"	0.0558478
electioneering	0.0556212
Caesarean	0.0555228
telemarketing	0.0549087
notary	0.0548695
"Producer Price Index"	0.0547478
CPI	0.0542592
"T cell"	0.0541143
DMV	0.0540725
"Western Union"	0.054047
"free association"	0.0539353
counterintelligence	0.0538058
"Social Security Administration"	0.0531882
interdiction	0.0530854
Heinrichs	0.0529353
Lucasfilm	0.0528962
android	0.0524084
MCAS	0.0522365
API	0.0519887
it.	0.0519134
vasectomy	0.0519021
SFA	0.0518163
gallstone	0.0516125
third-graders	0.0511464
abacus	0.0509966
"American Petroleum Institute"	0.0509242
MBNA	0.0506582
shoestring	0.0505153
"security clearance"	0.0495706
HKMA	0.0495013
"U.S. Census Bureau"	0.049397
Chandra	0.0490404
leprechaun	0.0490037
"Fish and Wildlife Service"	0.0488921
maneuvering	0.0486608
houseplant	0.0485787
forwarding	0.0483806
bare-bones	0.0480932
BBDO	0.0477334
"bond trading"	0.0476044
ILO	0.0474943
"damage control"	0.0471777
"Board of Elections"	0.0468898
"producer price"	0.0466259
haiku	0.0464688
"budget debate"	0.0459905
third-quarter	0.0459016
"spy satellite"	0.0458326
"Medicare HMO"	0.0458002
"Bureau of Indian Affairs"	0.0457986
"price reduction"	0.0457764
"capital expenditure"	0.0456041
beeper	0.0455896
Leedham	0.0455382
"fortune cookie"	0.0454497
NCEC	0.045345
"Department of Commerce"	0.0452275
"Education Department"	0.0452209
"Pac Bell"	0.0449921
factoring	0.0449455
"Philadelphia Orchestra"	0.0448225
Eximbank	0.0447779
"sea lane"	0.0445477
homepage	0.0445298
"Desert Fox"	0.0444954
sextet	0.0443869
agronomy	0.0443835
"U. N."	0.0442509
"Handgun Control"	0.044249
"head count"	0.0442187
Roush	0.0442146
electrocardiogram	0.0440655
CBK	0.0440612
"U.S. Immigration and Naturalization Service"	0.0439207
"day laborer"	0.0438755
"J. Peterman"	0.0438507
"insurance claim"	0.0438216
TrustE	0.0438052
"Fox Sports News"	0.0437203
"hair trigger"	0.0436849
ATF	0.0435551
"public transit"	0.043552
HHS	0.0433544
spoken	0.0431363
"population control"	0.0430468
"Three key"	0.0429055
"income tax return"	0.0429045
O'Hara	0.0428753
Inoculation	0.0425644
"May Day"	0.0425322
"stock buyback"	0.0424913
"U.N. High Commissioner for Refugees"	0.0424741
curvy	0.0422522
AMT	0.0421452
Burnett	0.0418949
Nuke	0.0418664
"Twenty-five percent"	0.041818
"tax form"	0.0417852
"Microsoft Windows"	0.0417676
thermostat	0.0417042
CCB	0.0416806
Dior	0.0416238
homeownership	0.0415772
stapler	0.0414277
PSE	0.0412192
"Transportation Department"	0.0411494
"Cliffs Notes"	0.0411421
"Federal Election Commission"	0.0411087
go-slow	0.0410104
PalmPilot	0.0409877
"Department of Veterans Affairs"	0.0408171
ICBC	0.0407854
"small change"	0.0406865
crematorium	0.0404933
enlistment	0.0403462
"Christmas card"	0.0402878
"Federal Reserve Bank"	0.0402696
recidivism	0.040238
SOS	0.0401831
deceleration	0.0401699
Barrionuevo	0.0401498
toll-free	0.0401147
ISTAT	0.0400885
"dividend payment"	0.0400772
"penny stock"	0.0400397
))
("Census and Statistics Department" (desc 1105.22) (sims
"Central Bureau of Statistics"	0.242576
"State Statistical Bureau"	0.211405
"State Statistics Bureau"	0.175018
"Australian Bureau of Statistics"	0.171432
"National Bureau of Statistics"	0.164911
"Ministry of Trade and Industry"	0.1563
"Hong Kong Monetary Authority"	0.155503
"Thai Commerce Ministry"	0.155332
"U.S. Census Bureau"	0.143562
"Information Center"	0.141784
ISTAT	0.136264
"Information Office"	0.131376
"International Badminton Federation"	0.130964
INEC	0.129965
Eurostat	0.128891
"Conference Board"	0.123661
"National Research Council"	0.122785
"Ministry of Planning"	0.122463
"Ministry of International Trade and Industry"	0.122185
"General Administration of Customs"	0.121598
"Ministry of Labor"	0.121391
"State Bank of Pakistan"	0.120869
"Department of Health"	0.120291
"Ministry of Tourism"	0.11935
HKMA	0.118328
"Bureau of Labor Statistics"	0.116438
"National Association of Realtors"	0.113744
"U.S. Agriculture Department"	0.112186
"Tourism Authority of Thailand"	0.112036
"National Electoral Commission of Nigeria"	0.111986
"Economic Planning Agency"	0.111095
"PC Data"	0.110741
"Labor Ministry"	0.110182
"Central Bank of Kenya"	0.10913
"State Administration for Industry"	0.106738
"College Board"	0.106576
"Immigration Department"	0.106354
"People's Bank of China"	0.105237
"Ministry of Industry"	0.104816
"Statistics Canada"	0.104501
"Central Election Commission"	0.103855
"Hong Kong Tourist Association"	0.101901
"International Criminal Tribunal for Rwanda"	0.100945
"postmaster general"	0.100521
"United Nations Population Fund"	0.100319
"Nielsen Media Research"	0.0993383
"Freddie Mac"	0.09907
"Press Trust"	0.0979089
"Bank of Korea"	0.0973699
"British High Commission"	0.0972213
"Provisional Urban Council"	0.0965738
"Bank for International Settlements"	0.0942097
"Health Department"	0.0937213
"Families USA"	0.0934848
"Ministry of Economy"	0.0931263
"U.S. Commerce Department"	0.0928377
"Philippine Central Bank"	0.0927309
"State Bureau of Environmental Protection"	0.0925154
"Department of Foreign Affairs"	0.0920975
"Trade and Industry"	0.0913806
"Center for Responsive Politics"	0.0906966
"Department of State"	0.0892656
"State Environmental Protection Administration"	0.0891367
"American Petroleum Institute"	0.0881822
"Labor Department"	0.0877442
"Congressional Research Service"	0.0872548
"National Highway Traffic Safety Administration"	0.0870905
"National Election Committee"	0.0866649
"Home Affairs"	0.0862819
"Home Ministry"	0.0861153
"Chief Secretary"	0.0860372
"Presidential Office"	0.0856957
"Taiwan Affairs Office"	0.0856952
"election commission"	0.0854041
"Independent Electoral Commission"	0.0852758
"Department of Finance"	0.0830897
"Ministry of Trade"	0.0830378
"Reserve Bank of India"	0.0829076
"State Administration of Taxation"	0.0828258
"Thai Foreign Ministry"	0.0827121
UCI	0.082531
"Xinhua News Agency"	0.0821566
"Commerce Ministry"	0.0821417
"Court of Final Appeal"	0.0819763
"China Daily Business Weekly"	0.0819518
"Korean Central News Agency"	0.0812573
"Egyptian Middle East News Agency"	0.0810911
"Hong Kong Federation"	0.0807188
"Housing Authority"	0.0805922
"Urban Institute"	0.0800315
"Natural Resources Defense Council"	0.0797075
Angop	0.0783869
"Ministry of Foreign Trade and Economic Cooperation"	0.0783205
"Transparency International"	0.0782694
"Bank of Uganda"	0.0782535
"Education Department"	0.0774736
"Nationality Law"	0.0774472
"Standard Chartered Bank"	0.0772865
"Ministry of Public Health"	0.0771904
"Ministry of Civil Affairs"	0.0768044
"State Development Planning Commission"	0.0766138
"Kaiser Family Foundation"	0.0763156
Dataquest	0.0757385
"Health Ministry"	0.0749794
"Board of Investment"	0.0747404
"Census Bureau"	0.0747319
"Agriculture Ministry"	0.0747015
"Central Bank of Nigeria"	0.0746817
"Pew Research Center"	0.0746758
"Ministry of Foreign Affairs"	0.0737566
"Institute of Medicine"	0.0735781
"Department of Education"	0.0732028
Ansa	0.073131
"Presidential Palace"	0.0730362
"Organization for Economic Cooperation and Development"	0.0727959
"Department of Commerce"	0.0722233
"United Nations Environment Program"	0.0720081
"Royal Palace"	0.071674
"Saudi Press Agency"	0.0715781
"Commerce Department"	0.0713206
"Ministry of Internal Trade"	0.0696707
"Bank Indonesia"	0.0696579
"Agriculture Department"	0.0690267
"Department of Trade and Industry"	0.0689866
"federal office"	0.0688758
"Broadway Books"	0.0688698
"Office of Management and Budget"	0.0687274
"Air Transport Association"	0.0678543
SSB	0.067705
"American Association"	0.0673893
"French Foreign Ministry"	0.0668211
"Airport Authority"	0.0663463
UNDP	0.0662814
"U.S. Labor Department"	0.066229
"British Foreign Office"	0.0662024
"Lee Hsien Loong"	0.0661276
"Ministry of Finance"	0.0659783
"Texas Department of Public Safety"	0.065947
"World Tourism Organization"	0.0658325
"Sino-British Joint Declaration"	0.0656624
"Ministry of Communications"	0.0655133
HKTA	0.0654742
"WTA Tour"	0.0654369
"Selection Committee"	0.0654052
"Ministry of Public Security"	0.0653682
"reserve bank"	0.065315
"Bank of Israel"	0.0651707
"ASEAN Secretariat"	0.0649798
"Federal Aviation Administration"	0.0648446
"United Nations Conference"	0.0647986
"Cato Institute"	0.064636
"Wenhui Daily"	0.064435
"Bank of Thailand"	0.0643548
NTSB	0.0643329
"Ministry of Health"	0.0642516
"Provisional Legislative Council"	0.0642351
"General Accounting Office"	0.0641773
"William Morrow"	0.0635894
"Israeli Embassy"	0.0635758
Reforma	0.0634675
"American Academy of Pediatrics"	0.0632885
Maariv	0.06308
"Chinese Academy of Social Sciences"	0.0628526
"Human Rights Watch"	0.0628302
"Ministry of Foreign Trade"	0.0625814
"Ministry of Water Resources"	0.0625219
"Turkish Foreign Ministry"	0.0623389
"International Finance Corporation"	0.0618611
"Advanced Micro Devices Inc."	0.0618234
"two heads"	0.0614674
"Center on Budget"	0.0614354
"Simon Wiesenthal Center"	0.061371
"State Planning Commission"	0.0612702
"Jupiter Communications"	0.0612324
"Food and Agriculture Organization"	0.0612167
"U.S. Environmental Protection Agency"	0.0611564
ICTR	0.061082
"Justice Ministry"	0.0610151
"Electoral Commission"	0.0609096
"Koha Ditore"	0.0608136
"Department of Labor"	0.0606958
"Xinhua News Agency Hong Kong Branch"	0.0604913
ABS-CBN	0.0604301
"judicial branch"	0.060115
IEA	0.0601099
Yazdi	0.0599273
"Morningstar Inc."	0.0593257
"Ethiopian Herald"	0.0590872
"first CD"	0.0588229
"Business Times"	0.0587474
"Egyptian Gazette"	0.0586637
"Ministry of Information"	0.0585676
"National Archives"	0.0585557
"New Straits Times"	0.0584584
"Kyodo News Service"	0.0583903
Safir	0.0582261
"Independent National Electoral Commission"	0.0582122
"United Nations High Commissioner for Refugees"	0.0581728
"Ministry of Agriculture"	0.05806
IDC	0.0578909
))
("Census Bureau" (desc 12370.4) (sims
"U.S. Census Bureau"	0.212803
"Congressional Budget Office"	0.2085
Eurostat	0.182369
"Commerce Department"	0.176354
"Labor Department"	0.172859
"Department of Education"	0.166709
CDC	0.161968
CBO	0.15986
"Education Department"	0.157187
"State Statistics Bureau"	0.151752
"American Petroleum Institute"	0.15146
"U.S. Agriculture Department"	0.149216
"Conference Board"	0.148232
"National Highway Traffic Safety Administration"	0.146761
bureau	0.146337
"Department of Agriculture"	0.145568
EPA	0.145331
"Bureau of Labor Statistics"	0.145078
"Treasury Department"	0.144332
"Australian Bureau of Statistics"	0.14416
"Agriculture Department"	0.143803
Forrester	0.140568
USDA	0.138057
"Energy Department"	0.133049
"Office of Management and Budget"	0.132365
"General Accounting Office"	0.131677
"Department of Health"	0.13014
"Health Department"	0.129219
"State Statistical Bureau"	0.128815
"Department of Transportation"	0.12797
"Statistics Canada"	0.127914
"Health Care Financing Administration"	0.127795
"Forest Service"	0.12747
SSB	0.126773
IDC	0.126525
"National Bureau of Statistics"	0.126377
"Transportation Department"	0.125841
FAA	0.124648
"Environmental Protection Agency"	0.124464
census	0.124238
"Health Ministry"	0.123938
"College Board"	0.123273
"Commerce Ministry"	0.120362
"Economic Planning Agency"	0.120266
OSHA	0.119299
"Department of Labor"	0.117455
UNAIDS	0.117413
NHTSA	0.117411
"Interior Department"	0.116725
"Department of Health and Human Services"	0.116723
Gao	0.114447
"Social Security Administration"	0.114272
"U.S. Commerce Department"	0.114174
"U.S. Labor Department"	0.11354
"Federal Aviation Administration"	0.113385
Pentagon	0.112464
"U.S. Environmental Protection Agency"	0.112095
"Defense Department"	0.111649
Dataquest	0.11073
"Federal Emergency Management Agency"	0.110316
"Park Service"	0.109935
"National Institutes of Health"	0.109309
"Russian Space Agency"	0.108702
"Families USA"	0.108507
"National Weather Service"	0.108483
"Jupiter Communications"	0.108191
FDA	0.108073
"World Health Organization"	0.10791
"Agriculture Ministry"	0.107478
"Labor Ministry"	0.107343
IEA	0.106166
NTSB	0.105564
"Nielsen Media Research"	0.105537
"Department of Energy"	0.105398
"International Data Corp."	0.105032
"Department of Commerce"	0.104989
NRC	0.104921
CIA	0.104317
"National Park Service"	0.103987
UNICEF	0.103948
IRS	0.103729
"Straits Times"	0.103266
INS	0.102537
Tat	0.102113
"Justice Department"	0.101945
BIA	0.101243
"Media Metrix"	0.101102
"Ministry of Health"	0.0994431
ISTAT	0.0993977
HUD	0.0989588
"inspector general"	0.0987245
"Ministry of Agriculture"	0.0984358
NIH	0.0984095
"Center for Responsive Politics"	0.0982873
"Federal Trade Commission"	0.0982277
"Department of Housing and Urban Development"	0.0978349
ATF	0.0970625
"World Tourism Organization"	0.0970206
"Finance Ministry"	0.0966156
"central bank"	0.096564
"U.S. Geological Survey"	0.0962585
"U.S. Fish and Wildlife Service"	0.0962191
HKTA	0.0960892
"National Republican Congressional Committee"	0.0960589
"Department of Justice"	0.0959052
FBI	0.0958342
"National Transportation Safety Board"	0.095553
"National Hurricane Center"	0.0943456
"Amnesty International"	0.09432
"Institute of Medicine"	0.0942445
"Department of Corrections"	0.093956
SDPC	0.0939255
"Congressional Research Service"	0.0938658
"Bank of Thailand"	0.0938343
FTC	0.093818
"Department of Veterans Affairs"	0.0935463
"Vietnam News Agency"	0.0934824
department	0.0934433
UNHCR	0.0933441
"Fish and Wildlife Service"	0.0933054
"Food and Drug Administration"	0.0932853
TDB	0.0932661
"Department of Public Health"	0.0927902
FCC	0.0926231
NASA	0.0925841
"Pew Research Center"	0.0925038
"Forrester Research"	0.0923305
WFP	0.0922671
"customs service"	0.0917081
agency	0.091633
"Agence France Presse"	0.0914867
"National Research Council"	0.0914843
"General Administration of Customs"	0.0913307
"National Marine Fisheries Service"	0.0912991
ADL	0.0912695
"New York Civil Liberties Union"	0.0911671
"National Academy of Sciences"	0.0911218
ministry	0.0906543
"State Department"	0.0902667
"Central Bank of Kenya"	0.0902278
"Republican National Committee"	0.0901512
"National Science Foundation"	0.0899209
ILO	0.0896446
"American Cancer Society"	0.0895138
Nepa	0.0894933
"Central Intelligence Agency"	0.0894117
"Internal Revenue Service"	0.0890507
institute	0.0889756
"National Cancer Institute"	0.0887687
"Airport Authority"	0.0887359
"Thai Commerce Ministry"	0.0886878
DEA	0.0884763
"Justice Ministry"	0.0884031
"Federal Bureau of Investigation"	0.0883254
HKMA	0.0882248
AARP	0.087288
"Freddie Mac"	0.0872838
"U.S. State Department"	0.0870462
"U.S. Forest Service"	0.0870175
"National Association of Realtors"	0.0867264
"Saudi Press Agency"	0.0864127
"Kaiser Family Foundation"	0.0863435
"Federal Election Commission"	0.08598
"Drug Enforcement Administration"	0.0858208
"Home Ministry"	0.0856663
"Department of Public Safety"	0.0854993
PricewaterhouseCoopers	0.0854914
Zagat	0.0853783
"U.S. Immigration and Naturalization Service"	0.085304
HCFA	0.0852254
"Central Bureau of Statistics"	0.0852057
"Defense Agency"	0.0847337
INEC	0.084521
CBI	0.0842903
USAID	0.0840448
DEP	0.0834503
FEMA	0.0830636
"World Bank"	0.0830329
"Small Business Administration"	0.0826956
BNFL	0.0824152
BOI	0.0820025
SBA	0.0819369
"Education Ministry"	0.0815176
"Yankee Group"	0.0814013
"Health and Human Services Department"	0.0810643
AAA	0.0809551
"Immigration and Naturalization Service"	0.0806781
CAAC	0.0806629
"secret service"	0.0806471
"Bureau of Alcohol"	0.0805954
"Gartner Group"	0.080422
"World Food Program"	0.0803623
"Interior Ministry"	0.0802648
"federal government"	0.0802316
"American Red Cross"	0.0798412
"Agency for International Development"	0.0796602
"Human Rights Watch"	0.0796088
"Army Corps"	0.0791554
"Federal Reserve"	0.0790764
Morningstar	0.0784759
))
("census taker" (desc 1911.87) (sims
enumerators	0.277274
"temporary worker"	0.144168
census-takers	0.143704
fire-fighter	0.115525
"divorce lawyer"	0.0988124
autoworkers	0.0931852
illegals	0.0899578
emigrant	0.0822941
kilometre	0.0818789
recruiter	0.0818382
holidaymaker	0.0808204
"National Guardsmen"	0.0804309
Beijingers	0.0765025
mainlanders	0.0763281
firemen	0.0760287
"skilled worker"	0.0749228
B-@s	0.0745168
Salvadoran	0.0738784
wrecker	0.0738115
"campaign worker"	0.0735896
reservist	0.0728849
searcher	0.0721992
Ghanaians	0.0721785
enrollee	0.0719253
"private detective"	0.0717563
salespeople	0.0714488
"work group"	0.0713941
"Albanian Kosovars"	0.0711298
Seizinger	0.0703327
"polling booth"	0.0699447
apparatchiks	0.0698039
"Sri Lankans"	0.0696041
"political dissident"	0.0690979
"fire fighter"	0.0687874
"home buyer"	0.0683662
"military personnel"	0.0680941
"member bank"	0.0674039
telemarketer	0.0672616
"job candidate"	0.0671973
"job seeker"	0.0670412
enlistee	0.0669712
"private investigator"	0.0664584
"computer expert"	0.0664527
migrant	0.0659954
"farm worker"	0.0659541
Eritrean	0.0658054
reveler	0.0654518
marcher	0.065153
contigent	0.0645694
laid-offs	0.0645296
lifeboat	0.0642948
"probation officer"	0.0633322
commuter	0.0632884
deliveryman	0.0628392
Georgian	0.0624313
evacuee	0.0619767
"card holder"	0.0617623
"Cuban Americans"	0.0616502
Bosnians	0.0613923
shockwaves	0.0611761
mercenary	0.0609288
salesmen	0.0607108
armymen	0.0606028
"absentee ballot"	0.0605621
protestor	0.0604466
Washingtonian	0.0603709
"FBI agent"	0.0599513
"Russian Jews"	0.0598971
"American plane"	0.0598788
"faculty member"	0.0595875
Athenian	0.059403
Congolese	0.0590033
amputee	0.0589977
Honduran	0.0587122
hectare	0.0585146
deejays	0.0581037
Liberian	0.0580445
snowmobilers	0.0579799
Napolitano	0.0578045
steelworker	0.0578001
"Iraqi POWs"	0.0576914
surfer	0.0576711
spacewalks	0.0574486
"military police"	0.0572431
"North Carolinian"	0.0569103
schoolchildren	0.056844
"form letter"	0.0567852
Cuban-Americans	0.056746
"distress signal"	0.056703
vacationer	0.0564273
homebuyers	0.0563915
snowbird	0.056279
policyholder	0.056204
Programmer	0.0560793
lawmen	0.0559762
worshipper	0.0559283
verifiers	0.0559155
"sales staff"	0.0558752
Kosovars	0.0558305
"Sierra Leonean"	0.0557973
Andreychuk	0.0557348
bettor	0.0555427
pensioner	0.0555396
lifeguard	0.0555383
infantrymen	0.0553739
backpackers	0.0549918
Enis	0.0549022
"union worker"	0.0548392
landscaper	0.0547484
radiologist	0.0547172
Najera	0.0547048
speller	0.0546713
"electric current"	0.0546244
Mozambican	0.0546147
"university student"	0.0545343
"federal agent"	0.0544769
"nonstop flight"	0.0543582
"Mikhail Shtalenkov"	0.0542905
"East Timorese"	0.0542733
"New York Republicans"	0.0542656
"little leaguer"	0.0542468
Brahimi	0.0541684
"Kosovar Albanians"	0.0541361
Bangladeshi	0.0540304
BBOX	0.0539266
Hewlett	0.0538655
"stock trader"	0.0538264
stargazer	0.0537556
Koreans	0.0536861
"moving van"	0.0536319
iMacs	0.053269
spindle	0.0529259
weatherman	0.0528667
servicemen	0.0527467
janitor	0.0526614
Burundian	0.0526381
byte	0.0525791
part-timer	0.052532
deserter	0.0524458
albatross	0.0524404
Ukrainians	0.0523724
"law officer"	0.0523551
paramedic	0.0523505
auditor	0.0523257
mini-buses	0.0522389
Nicaraguan	0.052227
"International Management Group"	0.0522241
Armenians	0.052191
dwt	0.0520792
"South Koreans"	0.0520267
Ecuadoreans	0.0520247
"fishing license"	0.0518782
Chinese-Indonesians	0.0517809
"registered nurse"	0.0516524
petitioner	0.0515361
student-athletes	0.0512211
launderers	0.0511885
flotilla	0.051132
"graduate student"	0.0510291
non-Muslims	0.0509343
"square mile"	0.0509108
geese	0.0509046
felon	0.0508459
woodworker	0.0507977
Magaziner	0.0507792
Greeks	0.0507373
sleuth	0.0507024
paddler	0.0506286
Bosman	0.0505368
Ghosn	0.0504903
hemophiliac	0.0504474
"money order"	0.0504354
"television reporter"	0.0504278
"coal miner"	0.050425
dignitary	0.0503943
Tutsis	0.0503868
ladybug	0.0503118
"Christopher Columbus"	0.0502558
"body bag"	0.0502483
Namibian	0.0501062
WPP	0.0500093
transient	0.0499409
"government officials"	0.0498918
Harrick	0.0498317
crossers	0.0494968
"factory worker"	0.0494859
"shipwreck survivor"	0.0494402
"computer programmer"	0.0493574
Hutus	0.0493276
"Pope John Paul"	0.0491512
"container ship"	0.0491491
Kurds	0.0491089
"margin call"	0.0490514
publicist	0.0489685
"displaced person"	0.0489452
"insurance agent"	0.0488971
Eskew	0.0487915
planeload	0.0487901
sapling	0.0487617
postgraduate	0.0487133
))
(census-takers (desc 1053.56) (sims
enumerators	0.172307
"census taker"	0.143704
winnowing	0.0871417
"welfare worker"	0.086978
"fire fighter"	0.080467
beekeeper	0.0742867
"big leaguer"	0.0720372
wideouts	0.0700365
"O'Hare International Airport"	0.0674188
"elbow room"	0.0674015
Jacke	0.063912
shivering	0.0634906
"Hao Haidong"	0.0613052
Vandal	0.0609553
WGN	0.0606243
"ping-pong ball"	0.0603409
policewoman	0.0593832
"eye doctor"	0.0588401
Mendez	0.0587639
Gibbons	0.0586699
cosmologist	0.0581143
"Western Open"	0.0579113
"Census Bureau"	0.0575647
"racing circuit"	0.0574654
"probation officer"	0.0573886
"day laborer"	0.0573088
Blackhawks	0.0570251
"futures price"	0.0561503
Najera	0.0560385
feeler	0.0559362
taster	0.055358
Divac	0.0552079
Hendrickson	0.0547124
Chinese-Americans	0.0546099
blue-chips	0.0544757
"Rainbow/PUSH Coalition"	0.0543159
ref	0.0543004
"Lu Yufu"	0.0539812
Sugarloaf	0.0538087
"big shot"	0.0534611
Kuchar	0.0532839
registrant	0.0532134
Byrdsong	0.0530186
Espinosa	0.0529431
"fire truck"	0.0526161
stone-throwers	0.0526103
preparers	0.0524334
EEOC	0.0523332
"storm cloud"	0.0522099
Boles	0.0516052
"No. @,@@@"	0.0514849
handhelds	0.0513486
"Thomas Edison"	0.0511399
medic	0.0511257
"filing cabinet"	0.0510669
axelsson	0.0510492
JONAS	0.0509759
frogmen	0.0508036
Enis	0.0506896
Andreychuk	0.050565
"Museum of Contemporary Art"	0.0505237
Henning	0.0504739
Newsome	0.0502667
bogie	0.0502517
megamergers	0.0501938
Luc	0.0501875
"sixth homer"	0.0501483
"four @-pointers"	0.0498965
Girard	0.0498614
snowplow	0.0498439
Audette	0.0496875
fire-fighter	0.0496743
paratroops	0.0496506
"three @-pointers"	0.0496164
alderman	0.0493964
Niedermayer	0.049386
passersby	0.049382
Durwood	0.0493185
geezer	0.0493084
protestor	0.0492831
Currier	0.049226
DAX	0.0491539
"another third"	0.0491215
Washingtonian	0.0491078
flotilla	0.0490143
reservist	0.0489666
stargazer	0.0488842
genealogist	0.0488516
OFWs	0.0488425
"Soldier Field"	0.048839
"corporate executive"	0.0488186
McInnis	0.0487186
Artest	0.0486984
sass	0.0486156
Croshere	0.0484895
out-of-towners	0.0483016
dribbler	0.0481806
Gervin	0.0480741
"Orthodox Jews"	0.048014
nonwhites	0.0480066
Fryman	0.0479804
Kazhegeldin	0.0479417
Worrell	0.0478037
pallbearer	0.0477989
"a few million dollars"	0.0476814
minder	0.0475886
apparatchiks	0.0475666
VCs	0.0475636
worshiper	0.0474452
"summer house"	0.0474296
Atlantan	0.0473172
"La Mont"	0.0472784
Rabe	0.0471664
O'Hare	0.0471107
Hejduk	0.0469788
Kuehne	0.0468769
mushers	0.0467297
"bowling ball"	0.0466752
Evander	0.0466691
bouncer	0.0466376
"David Spade"	0.0466374
"Joe Gibbs"	0.0466156
telemarketer	0.0465366
"undercover agent"	0.0463858
RVs	0.0463024
speller	0.0462287
airball	0.046191
"Al Aqsa Mosque"	0.0461312
B-@s	0.046105
Hoch	0.0460025
molar	0.0459994
Driscoll	0.0459904
bloodhound	0.045939
Kamensky	0.0459029
McCown	0.0458976
Majerle	0.0458936
"Department of Corrections"	0.0456571
"foul ball"	0.0455856
Hornaday	0.0454781
"private investigator"	0.0454701
"fellow worker"	0.045398
Matthaeus	0.0453521
"market watcher"	0.0453072
Irishman	0.0452749
Fermilab	0.0451991
Cink	0.045116
White-McCarty	0.0449296
Lafleur	0.0448758
"fire engine"	0.0448337
stuntman	0.0447814
"skilled worker"	0.0447622
firemen	0.0447302
verifiers	0.0447125
searcher	0.0446577
Marichal	0.0445433
Grbac	0.044392
Geiger	0.0443775
lobstermen	0.044359
floater	0.044348
Rolen	0.0442831
landscaper	0.0442298
"Oliver McCall"	0.0441866
"life vest"	0.0441232
"Pew Research Center"	0.0440558
"Richard Burton"	0.0440438
student-athletes	0.0439366
burglar	0.0439267
"Office @@"	0.0438573
Arab-Americans	0.0438524
Humvee	0.0438465
infiltrator	0.0438385
"World Conference"	0.0437473
Gartner	0.0437367
"National Guardsmen"	0.0437183
Firefly	0.0436678
skateboarder	0.0435888
Gunmakers	0.0435799
Klinsmann	0.0433884
shredders	0.04324
"Fallon McElligott"	0.0432359
Lari	0.0432124
Astacio	0.0431977
paring	0.0431553
farmworkers	0.0431538
Yarmila	0.0431412
Hinckley	0.0430069
"Chad Kreuter"	0.0430017
"Circuit Court"	0.0429843
mitochondria	0.0429411
"little leaguer"	0.0429365
"Comiskey Park"	0.0426902
streetlight	0.0425941
"three pitchers"	0.0425857
hotspots	0.0425675
Bianca	0.042547
Ince	0.0425388
"National Convention"	0.0424931
Bech	0.0424576
Chevys	0.0424521
prizefighter	0.0424406
))
(cent (desc 37784.1) (sims
Sen	0.155522
dollar	0.137682
"percentage point"	0.125735
"two cents"	0.125359
"one cent"	0.12297
centavo	0.115188
percent	0.115104
"five cents"	0.113084
"more than @@@ points"	0.109677
penny	0.109101
"eight cents"	0.107576
"three cents"	0.105696
"nine cents"	0.104445
"one percent"	0.0993101
ruble	0.0980126
dlrs	0.0970811
"about $@.@@"	0.0954456
lower	0.0941906
euros	0.0930623
dlr	0.0930299
"nearly @@@ points"	0.0924747
"basis point"	0.0915666
"about $@@"	0.0891713
low	0.0876473
"more than @@ points"	0.0866061
"one dollar"	0.0853867
"nearly $@@"	0.0853763
ringgit	0.0848885
ounce	0.0847548
"about $@"	0.0847193
Euro	0.0825634
"three percent"	0.080887
"about $@@@"	0.0806672
"about @.@ percent"	0.0798373
"over @@@ points"	0.0794281
"four percent"	0.0781107
"about @ percent"	0.0775513
"two percent"	0.0748576
"about $@@@ million"	0.0737069
"about $@@,@@@"	0.0732843
"six percent"	0.0732506
"billion dollars"	0.072939
kg	0.0714987
"nine percent"	0.0708584
pfennig	0.0700393
"about @@ points"	0.0699633
Celsius	0.0695902
"million dollars"	0.0695749
"about @@ percent"	0.0692815
"nearly @@ points"	0.0692101
RM@.@@	0.0686731
average	0.0685207
RM@@.@@	0.0684479
"five percent"	0.0683291
U.	0.0650558
inch	0.0647621
"about @@@ points"	0.0642429
"eight percent"	0.0636834
"more than @.@ percent"	0.0632182
yen	0.0630452
"about $@,@@@"	0.0620499
"about $@ million"	0.0617333
U.S.dollars	0.061581
"US dollar"	0.0614736
trading	0.0604906
barrel	0.0600084
"about $@@@,@@@"	0.0593005
reais	0.0590261
dime	0.0585815
"seven percent"	0.0585574
Pound	0.0583976
"about @@@ million US dollars"	0.0572263
Centigrade	0.0569683
"about $@@ million"	0.0567768
"trading session"	0.0567004
pataca	0.0564697
"thousand dollars"	0.0555529
"about $@@.@@"	0.0554729
Fahrenheit	0.0554693
"about $@@ billion"	0.0551996
sharemarket	0.0549296
"lower than"	0.0548863
"about $@ billion"	0.0548252
zero	0.0545818
year-on-year	0.0539678
mph	0.0536485
"miles per gallon"	0.0532164
"Australian dollar"	0.0530001
"U.S. Dollars"	0.0529747
currency	0.0529687
"about @@ million dollars"	0.0521464
"about $@.@ million"	0.0516982
"about @@@ million dollars"	0.0516724
"Karachi Stock Exchange"	0.051144
baht	0.0511189
"less than @"	0.0510523
"about @@ million US Dollars"	0.0506354
Nickel	0.0502706
rupiah	0.0500923
feet	0.0497259
birr	0.0496348
bpd	0.0495151
"about $@.@ billion"	0.049242
Midday	0.04749
million	0.0469955
earnings	0.0468703
"one billion dollars"	0.0466085
"two billion yuan"	0.0463638
gram	0.0462962
"one point"	0.0459185
"About @@.@ percent"	0.0458505
gallon	0.0457323
greenback	0.0453248
"about @.@ billion dollars"	0.0451113
RM@@	0.0450765
"about $@@.@ million"	0.0450514
rose	0.0449778
"ten percent"	0.0446634
pittance	0.0446589
"nearly $@@ million"	0.0445431
liter	0.0445399
mile	0.0443981
"Singapore dollar"	0.0443039
tonne	0.0441153
digit	0.0435896
ton	0.0435
m.	0.0434984
notch	0.0434092
profit	0.0431712
"nearly $@@@ million"	0.0430787
Pct	0.0430663
"bond price"	0.0430501
fraction	0.0430307
Stocks	0.0429197
"about $@@@ billion"	0.0429192
"About @,@@@"	0.0426975
Kilogram	0.0425496
"stock market"	0.0422752
"record level"	0.042102
"less than @@"	0.0420519
hryvna	0.0420479
billion	0.0420439
"minimum wage"	0.0419652
mpg	0.0416259
"almost @@"	0.0415429
frac@@	0.0414004
"Zimbabwe Dollars"	0.0412064
"almost $@@ million"	0.0411619
a.m.	0.0406892
buying	0.040564
"hundred dollars"	0.0404838
"nearly $@ billion"	0.0404254
index	0.0403902
"over @@@@"	0.0403088
"Philippine peso"	0.0403015
"nearly $@ million"	0.040127
))
(centavo (desc 3000.07) (sims
pfennig	0.238351
nanograms	0.140209
"basis point"	0.130918
"nearly @@ points"	0.130605
"one cent"	0.126297
fils	0.116184
cent	0.115188
"more than @.@ percent"	0.112634
"two percent"	0.108666
"six percent"	0.10489
Sen	0.103374
"about @.@ percent"	0.101162
"percentage point"	0.0999686
"one percent"	0.099129
"about @@@ points"	0.0988188
"three percent"	0.0951617
"four percent"	0.0941099
"eight cents"	0.0901132
"three cents"	0.0886322
"five percent"	0.0883692
"five cents"	0.0881348
"two cents"	0.0880272
kwanza	0.0879886
"one dollar"	0.0879756
"eight percent"	0.0864261
"more than @@ points"	0.0863165
"about @@ points"	0.0855876
"nine percent"	0.0854765
"miles per gallon"	0.0849984
"seven percent"	0.084684
"over @@@ points"	0.0832861
kilobits	0.083164
"almost @@"	0.0814992
"ten percent"	0.081157
percent	0.0809585
m.p.h	0.0805488
"nine cents"	0.0798145
megabits	0.079618
"about two percent"	0.0777862
dlr	0.0774317
"more than @"	0.0759644
"more than @@@ points"	0.0757535
"about @ percent"	0.0756358
mpg	0.0728549
pataca	0.0728207
"nearly $@@"	0.0728041
reais	0.0724928
"almost @"	0.07192
Pct	0.0702262
meticais	0.0697079
"nearly @@@ points"	0.0696663
"nearly $@"	0.0695647
"nearly @"	0.0689232
"more than @@ yards"	0.0654852
"About @@ per cent"	0.0651386
RM@@.@@	0.0631639
quarter-point	0.0628128
"about five percent"	0.0622059
RM@	0.0618912
"a few pounds"	0.0617854
"nearly @@"	0.0609585
"over @@ points"	0.0607657
"over @@@@"	0.060643
"Zimbabwe Dollars"	0.0586959
"More than one-third"	0.0584956
"one million dollars"	0.0584815
"roughly @@"	0.0582226
Fahrenheit	0.0579926
Celsius	0.0575942
"base runner"	0.0575006
"more than @ billion yuan"	0.0569342
"another @.@ percent"	0.0563819
"almost @@@"	0.0557336
crewmembers	0.0548763
half-point	0.0540388
"almost $@@,@@@"	0.0539823
"more than @@ billion yuan"	0.0539274
tenths	0.0537356
euros	0.0533703
"about $@"	0.0529344
"Kenya Shillings"	0.0529288
year-on-year	0.0525515
B-@s	0.051986
"thousand dollars"	0.0516471
"about $@,@@@"	0.0513492
RM@@	0.0512506
VND	0.0509125
RM@@@	0.0503472
"six billion yuan"	0.0501269
"nearly $@,@@@"	0.0500506
"billion dollars"	0.0497198
"Tanzania Shillings"	0.0492886
MiG-@@s	0.0490175
"about @@ pounds"	0.0487018
Fen	0.0484066
"three billion yuan"	0.0479438
"up to @@.@ percent"	0.0478728
"about @@ billion yuan"	0.0478504
sq.km	0.0477877
baserunners	0.0477592
"close to @@"	0.0476523
"Uganda Shillings"	0.047393
sq.m	0.0472743
A@@@s	0.0468767
Corolla	0.046364
m.	0.0463092
"miles per hour"	0.0457634
"nearly @@ billion yuan"	0.0454887
"high bar"	0.045473
gram	0.0454004
"All-Star Games"	0.0452246
"about $@ billion"	0.0447699
ppg	0.0447586
"hundred dollars"	0.0447569
"about @@@ million yuan"	0.0447523
"about $@.@ billion"	0.0446964
"about $@.@@ million"	0.0443478
"a few thousand dollars"	0.0441929
rupee	0.0440539
"about @@@ percent"	0.0437367
KUNA	0.0437253
"about $@ million"	0.0434055
"more than @@@ billion yuan"	0.0431254
"More than one third"	0.043086
sz	0.042504
liter	0.0423819
Hertz	0.0422019
shilling	0.0421442
"About @@.@ percent"	0.0420305
"almost $@@@,@@@"	0.0418236
bpd	0.0417664
overs	0.0416663
shekel	0.0412192
"nearly @@@ million yuan"	0.0411995
one-half	0.0408238
Gigahertz	0.0403677
"one billion dollars"	0.0402255
hryvnas	0.0401183
))
(centenarian (desc 3499.05) (sims
"Iranian POWs"	0.119124
illiterate	0.117908
"AIDS patient"	0.115032
laid-offs	0.112022
"blood donor"	0.110015
VMs	0.105146
Beijingers	0.103465
registrant	0.101486
"sales outlet"	0.101046
Haitian	0.0992535
"Sri Lankans"	0.0970016
Mozambican	0.0937513
diabetic	0.0928258
"industrial enterprise"	0.0923391
"foster child"	0.0919252
"drug addict"	0.0917795
job-seekers	0.0917259
"mountain gorilla"	0.0911641
evacuee	0.0907743
fatality	0.0882171
"Iraqi POWs"	0.0876721
non-whites	0.087363
deserter	0.0867879
"cancer death"	0.0855837
exhibitor	0.0855215
test-takers	0.0848023
"giant panda"	0.0843577
herdsmen	0.0837633
urbanites	0.0830953
"test-tube baby"	0.0829728
claimant	0.0818688
businesspeople	0.0818
wellwisher	0.0813849
sufferer	0.0813263
B-@s	0.081011
"branch office"	0.0809843
dropout	0.0807669
respondent	0.0805881
"military personnel"	0.0805135
"temporary worker"	0.0803498
miner	0.0798993
postgraduate	0.0798108
orphan	0.0795308
Cambodian	0.079226
enrollee	0.0787436
enlistee	0.0780726
"educational institution"	0.0780553
"North Africans"	0.0780271
adoptees	0.0777638
Tibetans	0.0775496
examinees	0.0768521
"college student"	0.0768392
"senior citizen"	0.0766161
Liberian	0.0762848
detainee	0.0761796
uninsured	0.0758526
parolee	0.0756837
Nicaraguan	0.0754841
smoker	0.075227
"rare bird"	0.075164
mainlanders	0.0749807
dieters	0.0749404
schoolchildren	0.0748548
"milk cow"	0.0746697
"union worker"	0.0745515
holidaymaker	0.0744791
"university student"	0.0742742
billionaires	0.0737708
leper	0.0730665
"polling station"	0.0727418
youngster	0.0721
vertebrate	0.0719164
stowaway	0.0716836
"Asian Americans"	0.0715394
"freight car"	0.0713078
undergraduate	0.0712897
"political prisoner"	0.0710639
migrant	0.070848
"ethnic group"	0.0704922
applicant	0.0703535
elector	0.070241
Honduran	0.0701818
"union member"	0.0700875
onlooker	0.0700233
"heroin addict"	0.069536
illegals	0.0695039
complainant	0.0689694
distillery	0.0688947
villager	0.0685051
academician	0.0680959
attendees	0.0679957
adolescent	0.0678575
pupil	0.0678267
Moslem	0.0678154
drownings	0.0677765
"San Franciscans"	0.0677442
aftershock	0.067652
Aborigine	0.067612
"church member"	0.0676036
eighth-graders	0.0675665
pensioner	0.0674619
Ugandan	0.067274
atm	0.0671114
picketers	0.066817
returnees	0.0668167
emigrant	0.0667908
householder	0.0667455
"Albanian Kosovars"	0.0665644
laborer	0.0663961
"skilled worker"	0.0662702
seamen	0.0662153
"North Koreans"	0.0661653
"coal miner"	0.0661388
sortie	0.0660772
Singaporean	0.0659812
"stamp collector"	0.0658179
fire-fighter	0.0657415
"displaced person"	0.0655985
amputee	0.0655327
state-owned	0.0654608
multinationals	0.065457
"wage earner"	0.0653211
probationer	0.0652752
"Export Processing Zones"	0.0651676
firefighters	0.0651335
homebuyers	0.0651286
"domestic animal"	0.0648344
"employment agency"	0.0648024
addict	0.0647413
"right whale"	0.0646571
"business executive"	0.0646185
Copt	0.064587
"drug user"	0.0645825
"fire fighter"	0.0644536
"registered nurse"	0.06424
"travel agency"	0.0642065
"political detainee"	0.0641126
firemen	0.0639501
Georgian	0.0635734
vaulter	0.063561
signees	0.0633574
Filipino	0.0633295
mourner	0.0632906
Latino	0.0632886
"faculty member"	0.0631235
lama	0.0631087
Tanzanian	0.0630359
Angolan	0.0629927
seminarian	0.062898
"British people"	0.0628971
"domestic flight"	0.0628162
enumerators	0.0626824
reveler	0.0626507
"job seeker"	0.0624924
tannery	0.062485
agronomist	0.0624172
freshmen	0.0623258
inpatient	0.0623181
panda	0.0622333
businesswomen	0.0621932
"food company"	0.0621904
"South Koreans"	0.0621486
Bosnians	0.062107
transnationals	0.0620491
"fatal accident"	0.0619652
Vietnamese	0.0619429
servicemen	0.0617848
"public toilet"	0.0617237
expatriate	0.0616818
"election district"	0.0616702
worshiper	0.0613793
Floridian	0.061311
newborns	0.0612138
great-grandchildren	0.0611184
Burundian	0.0610976
subscriber	0.0606849
infant	0.0606448
Gypsy	0.06061
faceoffs	0.0605958
"insurance firm"	0.0605833
"service station"	0.0604717
paddler	0.0604498
practitioner	0.0604004
leaver	0.0603763
prostitute	0.0603628
"medical institution"	0.0603426
"married woman"	0.0602876
dweller	0.0602227
reservist	0.0601834
"civil servant"	0.0600842
websites	0.0600821
firsts	0.0600763
aged	0.0600179
officeholder	0.0598833
asylum-seekers	0.0598787
medium-sized	0.0597721
"sacred cow"	0.0596901
"government officials"	0.0595635
"financial organization"	0.0595129
"Medicare HMOs"	0.0594997
))
(Centenary (desc 4244.75) (sims
centennial	0.245283
"World Environment Day"	0.191309
bicentennial	0.180725
"Earth Day"	0.13268
"World AIDS Day"	0.119905
jubilee	0.116702
anniversary	0.104351
"International Day"	0.104213
"Chinese New Year"	0.0958198
"Veterans Day"	0.089544
"International Year"	0.0891174
"Lunar New Year"	0.0861522
"Black History Month"	0.0857251
"National Day"	0.0840811
"Chinese Lunar New Year"	0.0823005
"May Day"	0.0814333
"Independence Day"	0.0717538
Eid	0.0693527
"third millennium"	0.0692474
commemoration	0.0688273
rededication	0.0676188
"Father's Day"	0.0663615
"Universal Declaration"	0.0631458
Hanukkah	0.0607058
"feast day"	0.0604675
"World Group"	0.0601202
"St. Patrick's Day"	0.0598058
"religious holiday"	0.05928
"Spring Festival"	0.0542653
Easter	0.0541963
"Mother's Day"	0.0534853
coronation	0.0528341
"wedding anniversary"	0.0524902
"Holy Year"	0.0514323
hosting	0.0505654
Juneteenth	0.0490694
"national holiday"	0.0477109
"Fourth World Conference"	0.0473025
millenium	0.0471487
"Bastille Day"	0.0470577
"first tour"	0.0468122
RIPOSTE	0.0466625
wipeout	0.0460996
"Labor Day"	0.0460476
"Yom Kippur"	0.0460314
"dog days"	0.0458306
"Rosh Hashana"	0.0457747
inaugural	0.0455927
Passover	0.0455709
D-day	0.0451023
"holy day"	0.0446451
fiesta	0.0445554
commencement	0.0440659
baptism	0.0434671
resurrection	0.0432084
Chaucer	0.0430585
homecoming	0.0419118
reopening	0.0417017
"Valentine's Day"	0.041531
"Fourth of July"	0.0413859
"main office"	0.0413153
re-opening	0.0411224
"Lei Feng"	0.0409263
"Good Friday"	0.0408858
"leap year"	0.0401207
"Mardi Gras"	0.0400657
))
(centennial (desc 9726.03) (sims
Centenary	0.245283
bicentennial	0.166955
"World Environment Day"	0.139909
anniversary	0.117356
"World AIDS Day"	0.1164
"Earth Day"	0.109438
jubilee	0.103731
"International Day"	0.0903177
"Chinese New Year"	0.084097
"Independence Day"	0.0816952
"National Day"	0.0803816
"May Day"	0.0796711
"Lunar New Year"	0.0775424
rededication	0.0768504
"Black History Month"	0.0757616
"Veterans Day"	0.075058
"International Year"	0.0668563
"national holiday"	0.0611203
"religious holiday"	0.0608206
"Father's Day"	0.0604359
"Spring Festival"	0.0601133
birthday	0.0597838
Passover	0.0588114
commemoration	0.0560679
"Chinese Lunar New Year"	0.0557346
"World Figure Skating Championships"	0.0556771
"feast day"	0.055286
Eid	0.0552641
inauguration	0.0538461
Hanukkah	0.0532852
"Holy Year"	0.0522695
"wedding anniversary"	0.0516675
"Good Friday"	0.0515448
Easter	0.0510385
"Sydney Olympic Games"	0.0503328
"New York Film Festival"	0.0490204
"Labor Day"	0.0489755
"Fourth of July"	0.0489413
commencement	0.0483997
"Jewish Sabbath"	0.0479921
observance	0.0472852
coronation	0.0466002
"Sydney Olympics"	0.0465567
"Yom Kippur"	0.0454223
"Rosh Hashana"	0.045296
Sabbath	0.045026
"Atlanta Olympic Games"	0.044775
"Oslo Accords"	0.0445482
millenium	0.0444703
TYCO	0.0438994
"Sydney Games"	0.0434848
handover	0.0431235
"Boston Marathon"	0.0430922
"St. Patrick's Day"	0.042814
Asiad	0.0426859
"Lincoln Center Festival"	0.0424913
"Cannes International Film Festival"	0.0423291
"Mother's Day"	0.0420012
"third millennium"	0.0418633
"Summer Olympics"	0.0418074
"holy day"	0.0417558
"holiday season"	0.0416421
"New Year"	0.0415125
reopening	0.0414531
Halloween	0.0408329
"London Marathon"	0.0407372
Oktoberfest	0.0406842
festivity	0.0404063
enactment	0.0401593
))
("Centennial Olympic Games" (desc 2377.95) (sims
"Barcelona Olympics"	0.240046
"Eighth National Games"	0.218658
Universiade	0.216968
"European Swimming Championships"	0.207097
"Atlanta Olympic Games"	0.204128
"Barcelona Games"	0.203724
"World Junior Championships"	0.20223
"World University Games"	0.189847
"Sydney Olympic Games"	0.18348
"Nagano Olympics"	0.179666
"World Figure Skating Championships"	0.173707
"East Asian Games"	0.172467
Paralympics	0.160645
"Seoul Olympics"	0.158485
"Atlanta Olympics"	0.155301
"Bangkok Asian Games"	0.155014
"World Athletics Championships"	0.148873
"Summer Olympics"	0.146992
"Commonwealth Games"	0.142413
"Olympic Winter Games"	0.1395
"Nagano Winter Olympics"	0.138066
"World Weightlifting Championships"	0.137281
"Southeast Asian Games"	0.136875
"Atlanta Games"	0.135801
"Summer Olympic Games"	0.135242
"World Swimming Championships"	0.132291
"Asian Games"	0.130523
"Olympic Games"	0.129128
"National Games"	0.127807
Asiad	0.125549
"Sydney Olympics"	0.123345
"Pan Am Games"	0.117365
"European Championships"	0.116076
"Asian Championships"	0.113511
"World Cycling Championships"	0.111554
"Sydney Games"	0.110733
"Goodwill Games"	0.110059
"Winter Olympic Games"	0.10872
"World Basketball Championship"	0.104125
"Nations Cup"	0.103137
"Summer Games"	0.101978
"World Championships"	0.0986001
"Pleasant Valley"	0.095065
"World Table Tennis Championships"	0.0941521
"Pan American Games"	0.0935116
"Winter Olympics"	0.0907938
"SEA Games"	0.0892013
tourney	0.0889769
Eastbourne	0.0858634
"European Championship"	0.0829662
"track meet"	0.0829025
Olympiad	0.0813677
"three-day event"	0.0798486
Hakuba	0.0767072
"swimming meet"	0.0755984
"Olympic Trials"	0.0738363
"Skate America"	0.073585
"Winter Games"	0.0727927
"Ritz-Carlton Hotel"	0.0725989
"Pan Pacific"	0.0687897
"Indian Wells"	0.0679425
Nagano	0.0667904
Kitzbuehel	0.0666702
"High Museum of Art"	0.0653
Linz	0.0650651
"Southeast Asian"	0.0646799
"Basketball Championship"	0.0638652
"Thomas Cup"	0.0626496
"Asian Winter Games"	0.061795
"Riviera Country Club"	0.0609346
"LA COSTA"	0.0608188
"Piedmont Hospital"	0.0593771
"Home Run Derby"	0.0572171
"World Cup Finals"	0.056924
"Grand Slam Cup"	0.0560132
"London Marathon"	0.0557496
Kemper	0.0549704
"Earth Summit"	0.0546841
"Lipton Championships"	0.0546674
"International AIDS Conference"	0.0546454
"Melbourne Park"	0.0544748
"Key Biscayne"	0.0542757
"Georgia World Congress Center"	0.0535494
"Hyatt Regency"	0.0535199
inaugural	0.0526821
time-trial	0.0526385
"Australian Open"	0.0524343
Albertville	0.0521659
"Champions Golf Club"	0.0515812
"Bay Hill"	0.051186
"African Cup"	0.0510104
regatta	0.0507981
"Tour Championship"	0.0506525
Olympus	0.0504897
"Georgia Dome"	0.0503896
"California Speedway"	0.0502996
"BellSouth Classic"	0.0502903
"West Point"	0.0497787
Halle	0.0494094
Harrods	0.0489653
Hiroshima	0.0488699
"Senior Bowl"	0.0488093
Seville	0.048701
"Texas Motor Speedway"	0.048408
"Cannes International Film Festival"	0.0483012
Heerenveen	0.0482501
"Lake Placid"	0.0473563
"RCA Dome"	0.0467306
"Georgia State University"	0.0467272
Gelsenkirchen	0.0467159
"Fashion Week"	0.0463076
"Disease Control"	0.0461169
"World Youth Games"	0.0456975
"Millennium Summit"	0.0456857
"University of Florida"	0.04568
"Euro @@@@"	0.0452609
"Callaway Gardens"	0.0451575
Stuttgart	0.0450913
"double gold"	0.0450433
"Fourth World Conference"	0.0448667
Consulate-General	0.0446427
"Confederations Cup"	0.0446021
Belfry	0.0444868
"Fleet Center"	0.0437151
fairground	0.0435193
"Circuit Court"	0.0434451
"National Stadium"	0.0433679
"Olympic Stadium"	0.0432632
"National Tennis Center"	0.0432061
"European Cup"	0.0430813
"Wimbledon Tennis Championships"	0.043056
"Economic Cooperation Organization"	0.0429985
"National Party Congress"	0.0428638
"basketball league"	0.042661
manoeuvre	0.0425179
"Western Open"	0.0423444
Lillehammer	0.0422557
"African Nations Cup"	0.042023
"Sahalee Country Club"	0.0417949
Hobart	0.0417594
"Jomo Kenyatta International Airport"	0.0417209
Leipzig	0.0415218
"New York City Marathon"	0.0414142
"Super Bowl XXXIV"	0.0413968
"World Congress"	0.0413822
"Olympic Park"	0.0413729
"Grammy Awards"	0.0412993
"University of Kentucky"	0.0412954
"Hilton Head"	0.0412734
"Third Session"	0.0412032
"German Open"	0.0411625
"Sundance Film Festival"	0.0409834
"Manhattan Beach"	0.0409702
Messina	0.0403945
"Centennial Olympic Park"	0.0403542
"swim meet"	0.040241
"Old Trafford"	0.0401768
"Joe Louis Arena"	0.040172
))
("Centennial Olympic Park" (desc 3340.55) (sims
"Olympic Park"	0.147557
"abortion clinic"	0.128121
"World Trade Center"	0.119671
Omagh	0.115899
Dhahran	0.092572
"Planet Hollywood"	0.090137
"Summer Olympic Games"	0.0850783
"traffic circle"	0.0829886
"Hyatt Regency"	0.0824433
discotheque	0.0812038
"U.S. Embassy"	0.0811069
"shopping mall"	0.0791547
"apartment building"	0.0743407
"bus terminal"	0.0726543
"about @:@@"	0.0723725
Bellingham	0.0719037
"train station"	0.0701306
"United States Embassy"	0.0681087
"Central Jakarta"	0.0668095
"shoe store"	0.0665855
underpass	0.0648583
"railway station"	0.0640607
"Greek capital"	0.0615772
Vladikavkaz	0.0598541
"Michigan Speedway"	0.0590058
Lockerbie	0.055611
Makhachkala	0.0551883
"Ritz-Carlton Hotel"	0.054801
Tashkent	0.0546051
Duesseldorf	0.0535802
"tourist hotel"	0.053563
"bus station"	0.0527472
"High Museum of Art"	0.0525298
"shopping center"	0.0522815
"Kiel Center"	0.0519425
Kandy	0.0490877
"Eric Robert Rudolph"	0.0488341
midair	0.0487286
"West Berlin"	0.0474212
"Riviera Country Club"	0.0469339
"street clothes"	0.0464534
"Peachtree Street"	0.0464158
"rest room"	0.0460286
Quetta	0.0458249
Kandahar	0.045402
"Dead Sea"	0.0453212
UTA	0.0451583
"international criminal court"	0.0446457
"Northern Province"	0.0446201
"Pan Am"	0.044517
Nagasaki	0.0442469
Paralympics	0.0432628
"Hartsfield International Airport"	0.0427903
Gudermes	0.0427518
"clothing store"	0.0426961
Ashkelon	0.0424208
"Jakarta Stock Exchange"	0.0419888
interstates	0.0412093
"Centennial Olympic Games"	0.0403542
a.m.	0.0401355
Rafah	0.040129
))
(center (desc 366130) (sims
facility	0.176016
hospital	0.162166
office	0.152775
clinic	0.151883
institute	0.148882
museum	0.145808
school	0.144143
hotel	0.143025
building	0.140529
centre	0.140087
city	0.139527
site	0.139207
area	0.136819
park	0.134065
base	0.133454
library	0.133169
station	0.133134
complex	0.131205
headquarter	0.13049
home	0.130031
airport	0.128272
hub	0.127477
store	0.126209
factory	0.125838
laboratory	0.124425
restaurant	0.12258
department	0.121999
agency	0.120752
program	0.120264
project	0.119787
"research center"	0.119242
institution	0.117553
plant	0.117493
shop	0.11596
university	0.1158
lab	0.114829
village	0.11195
town	0.111553
camp	0.110852
house	0.110646
unit	0.110467
hall	0.109803
organization	0.108838
district	0.108663
shelter	0.108539
system	0.108226
zone	0.10796
company	0.107869
Warehouse	0.107769
church	0.106089
mall	0.105901
"shopping center"	0.105535
theater	0.104715
network	0.104143
service	0.103635
port	0.102628
stadium	0.102253
terminal	0.102242
business	0.101314
capital	0.101211
embassy	0.100954
"medical center"	0.100912
market	0.100889
room	0.100734
bureau	0.0999034
prison	0.0992742
place	0.0990523
enterprise	0.0989829
firm	0.098928
branch	0.0984424
location	0.0984067
group	0.0973556
"office building"	0.0969831
neighborhood	0.0966592
residence	0.0954827
bank	0.0938566
apartment	0.0935889
operation	0.093491
resort	0.0925497
campus	0.0925207
studio	0.0924568
College	0.0924127
depot	0.0923301
community	0.0917491
palace	0.0916818
zoo	0.0916397
"shopping mall"	0.091267
"community center"	0.0912447
club	0.0911511
arena	0.0911037
"financial center"	0.0903824
garden	0.0903172
industry	0.0900235
field	0.0895611
academy	0.0894261
outlet	0.088999
farm	0.088426
foundation	0.088391
ministry	0.0882948
workshop	0.0882681
"post office"	0.0879547
street	0.0879354
section	0.08764
destination	0.0875606
Tower	0.087551
"police station"	0.0874585
region	0.0871083
space	0.0865255
one	0.0863173
bookstore	0.0860055
gallery	0.085716
venue	0.0856804
middle	0.084333
association	0.0843091
state	0.0838414
committee	0.0838003
sector	0.0837334
"nursing home"	0.0833378
infrastructure	0.0832047
part	0.083107
attraction	0.0827659
supermarket	0.0826188
mosque	0.0824209
"parking lot"	0.0822713
"power station"	0.0819367
province	0.0819028
gym	0.08186
square	0.0818216
fair	0.0814572
bridge	0.0810779
"high school"	0.0808386
cemetery	0.0806391
commission	0.0803359
development	0.0802126
garage	0.0799334
cafe	0.0799306
structure	0.0797859
downtown	0.0797157
spot	0.0794621
barrack	0.0793743
"industrial park"	0.0793062
"power plant"	0.0792002
provider	0.0791837
temple	0.0791031
research	0.0787063
bar	0.0784813
heart	0.0784073
classroom	0.0781848
suburb	0.0780344
courthouse	0.0778422
compound	0.0774129
Casino	0.0773398
team	0.0772704
"theme park"	0.0771961
division	0.0770715
"joint venture"	0.076723
Housing	0.0766633
country	0.0766492
forum	0.0766092
county	0.0762025
conference	0.0761666
"center field"	0.0759886
front	0.0759476
jail	0.0758622
authority	0.0754507
Council	0.0754126
plaza	0.0751133
"department store"	0.0750061
Exhibition	0.0746744
installation	0.0744921
corporation	0.0744822
mansion	0.0744528
forward	0.0744117
venture	0.0742875
sanctuary	0.0742287
activity	0.0741469
corner	0.0738794
construction	0.0737923
fund	0.073551
road	0.073465
municipality	0.0734511
epicenter	0.073368
work	0.0732241
refinery	0.0730804
police	0.0730707
synagogue	0.0730678
memorial	0.0730668
official	0.0729799
equipment	0.0729475
north	0.0728534
side	0.0727371
"public school"	0.0725838
dormitory	0.0724823
line	0.0723609
"apartment building"	0.0723053
"polling station"	0.0722012
resident	0.0721547
festival	0.0720841
study	0.0720571
mine	0.071964
))
("Center Court" (desc 2156.3) (sims
"Centre Court"	0.254371
"Court @"	0.12159
"Nike Tour"	0.0868326
"European Tour"	0.0752178
"Fighting Irish"	0.0720962
croquet	0.0709751
"League Cup"	0.0648725
"Old Course"	0.0629432
"red clay"	0.0602517
seesaw	0.0595195
"Phenix City"	0.0589778
"Opening Day"	0.0588334
"first match point"	0.0581941
"LPGA Tour"	0.0580495
"Russ Ortiz"	0.0575439
"Senior Tour"	0.0572675
Rueter	0.0553009
"standing room"	0.0544732
"Senior PGA Tour"	0.0539935
"Turner Field"	0.0534138
gridiron	0.0525595
gamecock	0.0523007
Polgar	0.0520189
"South Lawn"	0.0517079
Rattler	0.0508217
"third line"	0.0506574
"BRIAN MEADOWS"	0.0501155
"Mark Gardner"	0.0495782
"TOMS RIVER"	0.048697
hardcourts	0.048622
"Scarlet Knights"	0.0486063
"Trans World Dome"	0.0484095
go-slow	0.0483017
"Negro Leagues"	0.0482697
fescue	0.0481092
"Veterans Day"	0.0477595
"Kyle Field"	0.0472154
"second match point"	0.0465671
"Brian Moehler"	0.0464716
"American football"	0.0464107
"Thanksgiving Day"	0.0463345
"ATP Tour"	0.0453131
"Crimson Tide"	0.0447804
"basketball court"	0.0445899
"silver screen"	0.0444277
"State House"	0.0443823
"practice range"	0.0443715
two-a-days	0.0441574
"October @-@"	0.0441564
"Elysee Palace"	0.0440611
"WTA Tour"	0.0438055
Nicol	0.0437531
Bere	0.0437187
"waiting game"	0.0436559
weeknight	0.0433659
"Veterans Stadium"	0.0433313
Berasategui	0.0426442
"Jeff Weaver"	0.0426185
processional	0.0425733
"Red Raiders"	0.0424559
centerfield	0.0422974
striptease	0.0420742
Starzz	0.0419799
Metrodome	0.0419774
"Jerry Springer Show"	0.0418262
"Horse Whisperer"	0.0416891
goalpost	0.0413298
"football field"	0.0412018
"Leeward Islands"	0.0411674
undercard	0.0410414
"New York Liberty"	0.0408199
"Giants Stadium"	0.0407867
"Italian Cup"	0.0407575
"Neville Godwin"	0.0406306
"Los Angeles Galaxy"	0.0403158
"Solheim Cup"	0.0402777
"European Court of Human Rights"	0.0401612
"Albert Portas"	0.0400441
))
("center field" (desc 23137.4) (sims
"left field"	0.412735
"right field"	0.384792
right-center	0.313024
left-center	0.287773
outfield	0.184191
"second base"	0.129198
centerfield	0.121326
"first base"	0.107756
"third base"	0.0999997
bullpen	0.0961243
rightfield	0.0934963
shortstop	0.0905409
inning	0.0904679
bleachers	0.0869113
"upper deck"	0.0860155
infield	0.0846379
leftfield	0.0846146
dugout	0.081496
Mound	0.0754232
corner	0.0693854
"Andruw Jones"	0.0670728
homer	0.0665579
"home run"	0.0638099
ninth	0.0625605
"Bernie Williams"	0.0620004
"Edgardo Alfonzo"	0.0612482
"leading off"	0.0605691
"fly ball"	0.0580388
seventh	0.0577264
batter	0.0573114
at-bat	0.0572689
eighth	0.0566229
DH	0.0564164
"batter's box"	0.055901
"bottom of the inning"	0.0554496
"sacrifice fly"	0.0553822
"solo homer"	0.0553797
no-hitter	0.054389
"Jorge Posada"	0.0538986
"double play"	0.0535237
"Green Monster"	0.0534913
sixth	0.0528629
"Gerald Williams"	0.052291
"Jim Leyritz"	0.0519928
"Nomar Garciaparra"	0.0519744
"Chipper Jones"	0.0519708
clubhouse	0.0518883
fence	0.0517379
"Derek Jeter"	0.0513016
ballgame	0.0511051
"unearned run"	0.050868
RBI	0.0500278
"Paul O'Neill"	0.0496795
"home plate"	0.0496178
"perfect game"	0.0495093
"Tino Martinez"	0.0493714
"Troy O'Leary"	0.0491131
"grand slam"	0.0485878
"Benny Agbayani"	0.0483268
hitter	0.0482049
grounder	0.0481011
fairway	0.0477395
catcher	0.0473774
lineup	0.0471736
bunt	0.046969
popup	0.0462726
"Scott Brosius"	0.0454063
"Chuck Knoblauch"	0.0453609
"John Valentin"	0.0450048
"designated hitter"	0.0449065
"Mike Piazza"	0.0443039
"Mark Grudzielanek"	0.0441799
Maddux	0.043941
"ground ball"	0.0437015
pitching	0.0436946
Vaughn	0.0433866
"extra inning"	0.0433436
"Kenny Lofton"	0.0431932
"Game @"	0.0429069
glove	0.0428658
Bagwell	0.0427484
changeup	0.0425528
majors	0.0423196
"Chad Curtis"	0.0422356
Olerud	0.0420749
"Brian Jordan"	0.0417842
Mondesi	0.0416638
batting	0.0414421
leadoff	0.0413584
"wild pitch"	0.0412532
Jeter	0.0411236
"Garret Anderson"	0.0406671
"parking lot"	0.0405481
bunker	0.0404269
"Yankee Stadium"	0.040333
"Jim Thome"	0.0403006
rotation	0.0400639
))
("center fielder" (desc 22255.5) (sims
outfielder	0.336072
"left fielder"	0.268151
"right fielder"	0.210619
hitter	0.177668
"first baseman"	0.167583
"third baseman"	0.158338
shortstop	0.155151
"second baseman"	0.15346
catcher	0.143042
leadoff	0.136112
"pinch hitter"	0.127938
"starting pitcher"	0.124872
pitcher	0.11446
basemen	0.111133
infielder	0.108882
slugger	0.108645
righthander	0.107071
"pitching coach"	0.105321
batter	0.101434
lefthander	0.100581
reliever	0.0990714
"designated hitter"	0.0970073
closers	0.0964989
fielder	0.0950497
farmhand	0.0917283
switch-hitter	0.0911526
pinch-hitters	0.0899084
starter	0.0892768
hurler	0.0889923
baserunner	0.0836051
outfield	0.081368
bullpen	0.077651
"batting coach"	0.0767315
All-Star	0.0751849
"relief pitcher"	0.074101
"Derek Jeter"	0.0705776
pitching	0.070444
"Roberto Alomar"	0.0693476
DH	0.0685371
ballplayer	0.0683772
goalie	0.0681764
"Bernie Williams"	0.0675195
"minor leaguer"	0.0674699
ace	0.0669258
"Alex Rodriguez"	0.0661689
"major leaguer"	0.0661473
"Paul O'Neill"	0.0659635
"baseball player"	0.0657709
MVP	0.0647673
"running back"	0.0646776
"free agent"	0.0644754
rookie	0.0643562
rotation	0.0643162
"Devon White"	0.0642024
"Chuck Knoblauch"	0.0635758
"most valuable player"	0.0627197
"batting order"	0.0620679
"Jeff Fassero"	0.0617501
"Kenny Rogers"	0.0615547
lineup	0.0613694
"farm team"	0.0612033
"Tino Martinez"	0.0611995
Kicker	0.0609399
defenseman	0.0607223
"Jamie Moyer"	0.0606814
"Jose Offerman"	0.0604973
cornerbacks	0.0598706
"Chad Kreuter"	0.0596246
"Pedro Martinez"	0.0593667
dugout	0.0590129
punter	0.05901
infield	0.0589538
linebacker	0.0587261
cornerback	0.0582928
"base runner"	0.0581144
tackler	0.0580688
"Manny Ramirez"	0.0575491
"Omar Vizquel"	0.0573792
rebounders	0.0573184
"general manager"	0.0572608
hitting	0.0571693
"Nomar Garciaparra"	0.0569496
"Scott Brosius"	0.0567573
quarterback	0.0562071
"Joey Cora"	0.0559679
teammate	0.0558952
"Mariano Rivera"	0.0556396
defensemen	0.0555081
"Jim Edmonds"	0.0553941
clubhouse	0.0553011
"Rickey Henderson"	0.0552509
"Randy Johnson"	0.0552297
"Gold Glove"	0.0546357
left-hander	0.05458
rusher	0.0544903
passer	0.0544888
goaltender	0.0544733
QBs	0.0543205
fullback	0.0541331
"Chad Curtis"	0.0540042
"tight end"	0.0539486
batting	0.0536145
"Jose Vizcaino"	0.0534288
Baerga	0.0530478
"Mo Vaughn"	0.0526526
receiver	0.0525598
tailback	0.0523144
"Roger Clemens"	0.0520621
stopper	0.0518886
"Mike Piazza"	0.0518059
baserunners	0.0516592
"Jason Varitek"	0.0516204
"Albert Belle"	0.0515799
Jeter	0.0513775
lineman	0.0512092
"Brian Jordan"	0.0509625
"Carl Everett"	0.0508077
runner	0.0503135
"Gil Meche"	0.0502685
"role player"	0.0500585
superstar	0.0498266
lefty	0.0496792
linemen	0.049667
righty	0.0495792
payroll	0.0495486
ballclub	0.0491373
"Adrian Beltre"	0.0490097
scout	0.0488976
"Kevin Elster"	0.0488892
"Paul Konerko"	0.0487088
"Ken Griffey Jr."	0.0484387
rebounder	0.0483647
"Todd Hundley"	0.0482995
"David Cone"	0.048189
Cedeno	0.0481708
returner	0.0481118
scorer	0.0480714
"John Olerud"	0.0480089
"Tim Raines"	0.0477317
"Wilton Veras"	0.0476337
"Kevin Brown"	0.0474474
playmaker	0.0474246
"Todd Stottlemyre"	0.0473534
tacklers	0.0472605
"Darren Lewis"	0.0470802
"David Wells"	0.0470472
"Todd Zeile"	0.0466597
"football player"	0.0466326
"Rey Ordonez"	0.04661
"left-handed pitcher"	0.0465869
"ball club"	0.0465507
QB	0.0464724
"Ted Williams"	0.046393
"Mark McLemore"	0.0462398
"Moises Alou"	0.0462143
"Mark Portugal"	0.0461105
All-Americans	0.0460881
Surhoff	0.046064
goaltenders	0.0458966
dodger	0.0458925
O'Neill	0.0458147
backup	0.0457505
Griffey	0.0455411
Knoblauch	0.0453851
roster	0.0453597
netminder	0.0451769
"Shawn Green"	0.0451609
"Jorge Posada"	0.045137
"basketball player"	0.0451059
Segui	0.0450741
"Andy Pettitte"	0.0450121
"Eric Young"	0.044891
"Mike Hampton"	0.0447888
"Ricky Ledee"	0.0447429
"Vladimir Guerrero"	0.0446902
"Craig Biggio"	0.0446588
Vizquel	0.0446528
"Trent Green"	0.0444562
"Brian Daubach"	0.0443526
Brosius	0.0443022
"Juan Gonzalez"	0.0442402
Huskey	0.0442122
"Todd Hollandsworth"	0.0441988
"Pokey Reese"	0.0441738
"Mark Grudzielanek"	0.0440859
"Darryl Strawberry"	0.044079
"Chuck Finley"	0.0438287
"David Segui"	0.043813
"Aaron Sele"	0.0437743
"Ozzie Guillen"	0.0436857
"Red Sox"	0.0436329
"batting average"	0.0436107
"Gary Sheffield"	0.0435702
"J.T Snow"	0.0435682
"farm club"	0.0435604
"Kevin Appier"	0.0434516
defensive	0.0434348
"Kent Mercker"	0.0433876
playmakers	0.0432807
"Joe DiMaggio"	0.0432065
))
("Center for Democracy" (desc 2071.06) (sims
"Violence Policy Center"	0.349487
"Electronic Privacy Information Center"	0.346957
"Natural Resources Defense Council"	0.244342
"Center on Budget"	0.217187
"Consumers Union"	0.215393
"Center for Strategic"	0.208695
"Cato Institute"	0.206848
"Public Citizen"	0.194659
"Electronic Frontier Foundation"	0.19181
"Center for Responsive Politics"	0.190472
"BancBoston Robertson Stephens"	0.189068
"Family Research Council"	0.186558
"Heritage Foundation"	0.184865
"Human Rights Campaign"	0.183651
"American Civil Liberties Union"	0.182941
"Environmental Defense Fund"	0.176576
"Human Rights Watch"	0.17462
"American Enterprise Institute"	0.165105
"NationsBanc Montgomery Securities"	0.162017
"Urban Institute"	0.161802
"RAND Corp."	0.1606
"Republican Leadership Council"	0.158709
"American Bankers Association"	0.158684
"Union of Concerned Scientists"	0.153717
"League of Conservation Voters"	0.149868
"Brookings Institution"	0.149081
"Families USA"	0.143024
"Democratic Leadership Council"	0.137011
"Center for Science"	0.13597
"League of Women Voters"	0.135396
"Handgun Control Inc."	0.132385
"Anti-Defamation League"	0.131962
ACLU	0.131004
"Edward Jones"	0.130401
Banc	0.127377
"Yankee Group"	0.126272
"Jupiter Communications"	0.126042
"Judicial Watch"	0.124384
"CBS Sports"	0.123615
"Carnegie Endowment"	0.123314
"Rainbow/PUSH Coalition"	0.122032
"Cuban American National Foundation"	0.121753
"National Council of La Raza"	0.120742
"Forrester Research"	0.120249
"National Alliance"	0.119893
"Prudential Securities"	0.119713
"Log Cabin Republicans"	0.11865
Dataquest	0.11862
"Hambrecht &AMP; Quist"	0.118339
"Air Transport Association"	0.115498
"Common Cause"	0.115435
"ING Barings"	0.114634
GOPAC	0.113847
"National Association"	0.113305
"American Association of Health Plans"	0.112379
"Warburg Dillon Read"	0.11178
"CS First Boston"	0.110822
"Recording Industry Association of America"	0.110244
PaineWebber	0.107197
"American Jewish Committee"	0.105038
"Gartner Group"	0.10096
"National Abortion and Reproductive Rights Action League"	0.10033
"Southern Poverty Law Center"	0.0988835
"Handgun Control"	0.0980695
"Paine Webber"	0.0970244
"Securities Industry Association"	0.0959358
"Donaldson, Lufkin &AMP; Jenrette"	0.0957345
"right to life"	0.0955307
"National Republican Congressional Committee"	0.095386
"Transparency International"	0.0945661
"International Data Corp."	0.0938527
"National Organization"	0.0929533
"World Jewish Congress"	0.0920686
"Gomez Advisors"	0.0919105
"Freedom Forum"	0.0913167
"American Association of Retired Persons"	0.0911828
"National Conference"	0.0907037
"National Education Association"	0.089766
"Goldman, Sachs &AMP; Co."	0.0880695
"District Council"	0.0876607
"Goldman Sachs &AMP; Co."	0.0871096
"New York Civil Liberties Union"	0.086834
"think tank"	0.0864687
"U.S. Chamber of Commerce"	0.0862709
"National Council of Churches"	0.0853945
"Wine Institute"	0.0853648
"Consumer Federation"	0.0851333
"Merrill Lynch &AMP; Co."	0.0845682
"American Petroleum Institute"	0.0842505
"Carter Center"	0.0832315
"Justice Center"	0.0828018
"Legal Aid Society"	0.0823227
"Bear Stearns"	0.0821701
NAACP	0.0813383
"International Rescue Committee"	0.0803797
"Southeastern Legal Foundation"	0.0797308
"Business Council"	0.0794688
"Pew Research Center"	0.0793675
"Robertson Stephens"	0.0786338
"Institute of Medicine"	0.0778491
Commerzbank	0.077023
"Amnesty International"	0.0767019
IDC	0.076285
"Lehman Brothers"	0.0762526
"Sierra Club"	0.0760109
"ABN AMRO"	0.075702
"Morningstar Inc."	0.0734941
"U.S. Soccer Federation"	0.0727703
"China Association for Science"	0.0726086
"World Church"	0.0719917
"American Federation"	0.0717982
"Catholic Charities"	0.0714405
"Credit Suisse First Boston"	0.0713681
Eappens	0.0708026
AARP	0.0689168
"PC Data"	0.0685659
"Commission on Presidential Debates"	0.0684021
"NFL Players Association"	0.0683884
"Operation Rescue"	0.0674899
"trade association"	0.0669522
"Motion Picture Association of America"	0.0664389
"National Commission"	0.0662955
"Congressional Research Service"	0.0656232
"U.N. World Food Program"	0.0655771
"Andersen Consulting"	0.065407
"Christian Coalition"	0.0641986
"Hearst Corporation"	0.0640412
Caritas	0.0635977
"Salomon Smith Barney"	0.0634899
"National Labor Relations Board"	0.0626668
UNAIDS	0.0616249
"Goldman Sachs"	0.0615581
Izvestia	0.0613255
TrustE	0.0609952
"Morgan Stanley Dean Witter"	0.0609504
"Urban League"	0.0609304
"Rockefeller University"	0.0608528
"Promise Keepers"	0.0605612
"Democratic Congressional Campaign Committee"	0.0603491
"Planned Parenthood"	0.0601686
"National Association of Manufacturers"	0.0596463
"Council on Foreign Relations"	0.0595922
"Operation Lifeline Sudan"	0.059462
"Iraqi National Congress"	0.0591708
"Lotus Development Corp."	0.0590108
TIAA-CREF	0.0588738
"United Nations Drug Control Program"	0.0578848
"World Petroleum Congress"	0.0576894
"Kaiser Family Foundation"	0.0575243
"Standard &AMP; Poor"	0.0571131
"Radical Party"	0.0569577
"Board of Elections"	0.056871
"Main Events"	0.0568441
"ABC Sports"	0.0565129
"Harvard School of Public Health"	0.0554747
"enforcement division"	0.0548086
"National Audubon Society"	0.0546138
"Hyundai Group"	0.0544112
DRI	0.0543023
Haaretz	0.0541478
"U.S. Golf Association"	0.0536714
"Federal Trade Commission"	0.0534743
"Defense Fund"	0.0530112
PricewaterhouseCoopers	0.0525172
"Turner Sports"	0.0524319
Paribas	0.0523168
"National Association of Securities Dealers"	0.051961
"Legg Mason"	0.0519285
Morningstar	0.0516437
UNDCP	0.0516194
"College Board"	0.0514936
AFL-CIO	0.051334
"Roundabout Theater Company"	0.0512553
"Players Association"	0.0511751
"American Lung Association"	0.0511369
"Nevada State Athletic Commission"	0.0510567
"National Federation"	0.0509289
"Information Center of Human Rights"	0.0508167
"National Democratic Alliance"	0.0505944
"Hearst Corp."	0.0504963
Donaldson	0.050153
CMA	0.0500335
USATF	0.0500291
"Tamil Eelam"	0.0498736
"Nahdlatul Ulama"	0.0493001
"Organization of American States"	0.0492333
Harris-Lewis	0.0487701
"U.N. Office"	0.0487406
"London School of Economics"	0.0486662
"National Urban League"	0.0486197
"American Bar Association"	0.0485392
"Ethics Commission"	0.0484721
"International Fund"	0.0484247
IDB	0.0484044
MSF	0.0482539
USGA	0.0482529
"Department of Public Safety"	0.0482179
Greenpeace	0.0481073
"teachers college"	0.0479737
"third millennium"	0.0476885
))
("Center for Responsive Politics" (desc 4054.2) (sims
"Common Cause"	0.301444
"Center on Budget"	0.289628
"Violence Policy Center"	0.275509
"Electronic Privacy Information Center"	0.260215
"Congressional Research Service"	0.246578
"Families USA"	0.242324
"Center for Strategic"	0.217915
"Urban Institute"	0.212981
"Human Rights Campaign"	0.204218
"Center for Democracy"	0.190472
"Pew Research Center"	0.185248
"Heritage Foundation"	0.179457
"Human Rights Watch"	0.173204
"Natural Resources Defense Council"	0.171546
"Brookings Institution"	0.156636
"Kaiser Family Foundation"	0.155432
"American Petroleum Institute"	0.155258
"Cato Institute"	0.154248
"Air Transport Association"	0.15101
"Gartner Group"	0.145143
"Congressional Budget Office"	0.144241
"Transparency International"	0.142863
"Nielsen Media Research"	0.140658
"Republican Leadership Council"	0.138049
"Conference Board"	0.13801
"Consumer Federation"	0.137158
"Jupiter Communications"	0.134633
"American Association of Retired Persons"	0.133771
"American Jewish Committee"	0.133624
"Family Research Council"	0.133533
"Economic Planning Agency"	0.130078
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"Institute of Medicine"	0.125179
"Forrester Research"	0.124957
"Union of Concerned Scientists"	0.123024
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"think tank"	0.114769
"National Highway Traffic Safety Administration"	0.114237
"PC Data"	0.112174
"RAND Corp."	0.111649
"World Jewish Congress"	0.111156
"Center for Science"	0.109926
"National Research Council"	0.108805
"Amnesty International"	0.108513
PricewaterhouseCoopers	0.107601
"Southern Poverty Law Center"	0.106821
"Commission on Presidential Debates"	0.106258
AARP	0.105198
"Cuban American National Foundation"	0.103896
"American Association of Health Plans"	0.103451
"Handgun Control Inc."	0.103039
"State Statistical Bureau"	0.102849
"Handgun Control"	0.101877
Dataquest	0.101022
"International Data Corp."	0.100057
"Yankee Group"	0.0995956
"Department of Education"	0.0992935
"Census Bureau"	0.0982873
"U.S. Census Bureau"	0.0978322
"National Council of Churches"	0.0966612
"Media Metrix"	0.0937697
"Securities Industry Association"	0.0931534
"Environmental Defense Fund"	0.092672
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"National Cancer Institute"	0.0906926
"National Federation"	0.090677
GOPAC	0.0902566
"Hong Kong Tourist Association"	0.0895368
"Anti-Defamation League"	0.0891608
"Harvard School of Public Health"	0.0890114
"National Council of La Raza"	0.0887651
"National Republican Congressional Committee"	0.0884144
"Judicial Watch"	0.0882228
"Southeastern Legal Foundation"	0.0876263
"Council of Economic Advisers"	0.0875417
"Motion Picture Association of America"	0.0872967
"Office of Management and Budget"	0.0870593
"trade association"	0.0867735
"Chinese Academy of Social Sciences"	0.0862061
"Sierra Club"	0.0857156
"National Conference"	0.0854093
"Morningstar Inc."	0.0853978
"American Civil Liberties Union"	0.0852186
Greenpeace	0.0847585
UNAIDS	0.0844295
"Health Department"	0.0838954
"Council on Foreign Relations"	0.083633
TrustE	0.0834306
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"College Board"	0.082346
ISTAT	0.0822957
"Central Bureau of Statistics"	0.0819758
Caritas	0.0815707
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"National Abortion and Reproductive Rights Action League"	0.07959
CDC	0.0794303
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"International Rescue Committee"	0.0791322
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"Department of Finance"	0.0774374
"Federal Emergency Management Agency"	0.0771934
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"Operation Lifeline Sudan"	0.0768253
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"IMS Health"	0.0750213
"Iraqi National Congress"	0.0750119
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"District Council"	0.073684
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"Texas Department of Public Safety"	0.0728625
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"research center"	0.0718683
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Eurostat	0.0712075
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"campaign official"	0.0704797
"Department of Transportation"	0.0704268
"Wine Institute"	0.0700194
"Department of Health"	0.0699085
DRI	0.0692413
"Democratic Action"	0.0691839
"Israeli Embassy"	0.0689762
AFL-CIO	0.0685032
"Simon Wiesenthal Center"	0.0683203
"Board of Elections"	0.0679693
"Federal Election Commission"	0.0678034
"Advertising Age"	0.0678016
"National Transportation Safety Board"	0.0677482
"State Bureau of Environmental Protection"	0.0675828
IDC	0.0673978
"Commerce Department"	0.0673822
"Organization of American States"	0.0667736
ACLU	0.0667144
Gao	0.0664593
"Central Bank of Kenya"	0.0662943
"U.S. Immigration and Naturalization Service"	0.0661916
"United Nations Children's Fund"	0.0657637
HKMA	0.0651452
"U.S. Environmental Protection Agency"	0.0648519
"National Bureau of Statistics"	0.0643573
"U.S. Agriculture Department"	0.0643485
"American Cancer Society"	0.0642033
"First Call/Thomson Financial"	0.0637466
"International Labor Organization"	0.0634128
UNICEF	0.0634049
"Australian Bureau of Statistics"	0.0631514
"Labor Department"	0.0630919
"American Lung Association"	0.0629025
"Communications Workers of America"	0.0628687
"Freddie Mac"	0.0628255
"Department of Labor"	0.0628134
"U.N. Office"	0.0627389
"right to life"	0.0627089
"Information Office"	0.0626985
"Christian Coalition"	0.062508
"Education Department"	0.0623743
"National Democratic Alliance"	0.0622396
"Dow Jones Newswires"	0.062158
"Carnegie Endowment"	0.0619727
"Ernst &AMP; Young"	0.0618054
Forrester	0.0616773
"Health and Human Services Department"	0.0616115
Oxfam	0.061526
"consulting firm"	0.0614763
"ethics panel"	0.0614561
"Hong Kong Trade Development Council"	0.0613079
"Republican National Committee"	0.061258
"American Medical Association"	0.0609854
"NFL Players Association"	0.0607917
"Environmental Protection Agency"	0.0606689
"U.S. Fish and Wildlife Service"	0.060512
"ING Barings"	0.060268
"Department of Public Safety"	0.0596195
"Economic Daily"	0.0594241
NTSB	0.0586156
"Department of Agriculture"	0.058567
"National Institute"	0.0585092
Corp.	0.0585014
"Lincoln Center Theater"	0.0582945
"Tamil Eelam"	0.0581604
"Treasury Department"	0.0580798
"Federal Bureau of Investigation"	0.0578945
))
("Center for Science" (desc 1933.42) (sims
"Families USA"	0.18707
"Public Citizen"	0.169524
"Environmental Defense Fund"	0.161194
"American Jewish Committee"	0.158196
"Natural Resources Defense Council"	0.153056
"Union of Concerned Scientists"	0.142488
"Human Rights Watch"	0.136676
"Center for Democracy"	0.13597
"American Association of Retired Persons"	0.129589
"Common Cause"	0.12609
"Consumer Federation"	0.112967
"National Alliance"	0.111041
"Human Rights Campaign"	0.110208
"Center for Responsive Politics"	0.109926
ACLU	0.105895
"American Lung Association"	0.102521
"Consumers Union"	0.10219
"Anti-Defamation League"	0.101422
"National Institute"	0.101217
"New York Civil Liberties Union"	0.0959045
"Electronic Frontier Foundation"	0.0958959
"Center for Strategic"	0.0941739
"Violence Policy Center"	0.0922742
"Sierra Club"	0.0914519
"Humane Society"	0.0912343
AARP	0.0906619
"American Civil Liberties Union"	0.0877885
"National Organization"	0.0866666
"Log Cabin Republicans"	0.0842243
"Electronic Privacy Information Center"	0.0837375
"Cuban American National Foundation"	0.0820398
"Center on Budget"	0.0816627
"Lincoln Center Theater"	0.0807304
"Amnesty International"	0.0802291
"Johnson Space Center"	0.0801844
"Lawrence Livermore National Laboratory"	0.0796378
"National Audubon Society"	0.079194
"American Bankers Association"	0.0790706
"Department of Public Health"	0.0785944
"National Association"	0.0784802
"Tufts University"	0.0769131
"National Republican Congressional Committee"	0.0740334
"Republican Leadership Council"	0.0737583
"Legal Aid Society"	0.0729629
"Pennsylvania State University"	0.0723168
"Democratic Senatorial Campaign Committee"	0.0722945
"Justice Center"	0.0720332
"right to life"	0.0715723
"National Federation"	0.0710391
"Barneys New York"	0.070733
"Cato Institute"	0.0700998
"U.N. Environment Program"	0.0698171
"U.S. Chamber of Commerce"	0.0690602
"United Nations Population Fund"	0.068777
"Democratic Congressional Campaign Committee"	0.0685367
"Rainbow/PUSH Coalition"	0.0684841
"National Cancer Institute"	0.0684236
"Judicial Watch"	0.0680064
taskforce	0.067965
Greenpeace	0.0677089
Oxfam	0.067534
MSF	0.0667698
"World Jewish Congress"	0.0656592
"University of Illinois"	0.0650996
"Secretary General Esmat Abdul-Meguid"	0.0650667
"International Rescue Committee"	0.0650107
"communicable disease"	0.0645994
"Georgia State University"	0.0645969
GOPAC	0.0635038
"American Legion"	0.0633458
"Planned Parenthood"	0.0630842
"Southern Poverty Law Center"	0.0628315
"McKinsey &AMP; Co."	0.0625129
"Kansas State University"	0.0623829
"Port Authority"	0.0623643
"San Francisco Museum of Modern Art"	0.0623345
"Air Transport Association"	0.0619559
"Rockefeller University"	0.0616021
UNAIDS	0.0611186
"NFL Players Association"	0.0610353
"Operation Rescue"	0.0605928
"Heritage Foundation"	0.0604186
"English Football Association"	0.0603588
"Handgun Control"	0.0601829
"Handgun Control Inc."	0.0598564
"Jet Propulsion Laboratory"	0.0593861
"Dana-Farber Cancer Institute"	0.0592338
"Harvard School of Public Health"	0.0588042
"National Oceanic and Atmospheric Administration"	0.0587562
"Nevada State Athletic Commission"	0.0587057
"League of Conservation Voters"	0.0577332
"Simon Wiesenthal Center"	0.057588
Dodik	0.0572374
"National Association of Manufacturers"	0.0566557
"State Bureau of Environmental Protection"	0.056631
Brigham	0.0562732
"Beth Israel Deaconess Medical Center"	0.0562148
"National Labor Relations Board"	0.0557873
"Gartner Group"	0.055396
"Field Poll"	0.0552764
"earth science"	0.0550444
Caritas	0.0549432
"Department of Transportation"	0.0545918
"Hong Kong Tourist Association"	0.0545637
"National Marine Fisheries Service"	0.0545518
"Ethics Commission"	0.0543965
"Catholic Charities"	0.0543569
UNDCP	0.0535544
"National Transportation Safety Board"	0.0532944
"World Wildlife Fund"	0.0532861
Eappens	0.0532242
"Department of Corrections"	0.0531939
"Republican National Committee"	0.0531124
"Queens College"	0.053096
"Fallon McElligott"	0.0527281
"Kaiser Permanente"	0.0526078
CRI	0.0525916
"Peace Corps"	0.0523917
"Iranian Foreign Ministry"	0.0522192
"Democratic Leadership Council"	0.0521751
"U.S. Soccer Federation"	0.0520892
"American Federation"	0.0518267
"U.N. Office"	0.0517449
"Christian Coalition"	0.0516836
"U.N. World Food Program"	0.051463
NAACP	0.051356
"United Nations Office"	0.051339
Kansan	0.0508536
"Royal National Theater"	0.0501346
"National Education Association"	0.0500325
"Mission Control"	0.0499734
"Department of Environmental Protection"	0.0498896
Ikimi	0.0498891
Novartis	0.0497108
Bruton	0.0496049
"National Convention Executive Council"	0.0494994
"Academy of Motion Picture Arts"	0.0493997
"California Institute of Technology"	0.0493246
"University of Kentucky"	0.0490638
Strauss-Kahn	0.0489717
"State Administration of Taxation"	0.0489386
"District Council"	0.0488351
"Business Council"	0.0485565
Meguid	0.0484417
"Neiman Marcus"	0.0483512
"Bell Laboratories"	0.0482509
"Nature Conservancy"	0.0482508
"National Institutes of Health"	0.0479283
"Port Authority of New York"	0.0477003
"biological science"	0.047607
"Hearst Corporation"	0.0475626
"Yankee Group"	0.0475424
"Department of Commerce"	0.0473072
Sami	0.0471401
"American Bar Association"	0.0470296
"Northwestern University"	0.046842
"National Conference"	0.0467484
"Federal Trade Commission"	0.0467061
"Interior Department"	0.0464881
"Board of Elections"	0.0463283
"China Association for Science"	0.0463095
UNFPA	0.046243
"Commission on Presidential Debates"	0.0461587
"Massachusetts General Hospital"	0.0459482
"Bell Labs"	0.045841
"National Science Foundation"	0.0458264
Elf-Aquitaine	0.0457552
"Media Lab"	0.0457319
"U.S. Golf Association"	0.0456426
"Columbia Records"	0.0455703
"Players Association"	0.0454551
endocrinology	0.0451715
YMCA	0.0451344
"Transparency International"	0.0451122
"Memorial Sloan-Kettering Cancer Center"	0.0451043
"Atlantic Richfield Co."	0.0450926
"High Museum of Art"	0.0450788
"American Museum of Natural History"	0.0449891
"Le Cirque @@@@"	0.0448636
"World AIDS Conference"	0.0447705
"University of New Mexico"	0.0447695
"Ministry of Trade and Industry"	0.0446487
USATF	0.0443176
SEPA	0.0442545
"Joint Liaison Group"	0.0442253
"China National Tourism Administration"	0.0442241
"Albany Medical Center"	0.0441362
"Hong Kong Trade Development Council"	0.0440495
"United Nations Environment Program"	0.0439547
"P&AMP;G"	0.0437434
"print media"	0.0436346
"Levi Strauss &AMP; Co."	0.043519
Scalfaro	0.04345
"ASEAN Secretariat"	0.0433351
"United Way"	0.0432581
"Wright-Patterson Air Force Base"	0.0432576
"Federal Emergency Management Agency"	0.0432406
SFC	0.0431489
"American Ballet Theater"	0.0429452
"Washington University"	0.0428802
))
("Center for Strategic" (desc 3641.84) (sims
"American Enterprise Institute"	0.363889
"Urban Institute"	0.356943
"Brookings Institution"	0.326791
"RAND Corp."	0.291861
"Center on Budget"	0.285889
"Cato Institute"	0.284832
"Heritage Foundation"	0.280277
"Carnegie Endowment"	0.24161
"Council on Foreign Relations"	0.220745
"Center for Responsive Politics"	0.217915
"Center for Democracy"	0.208695
"Electronic Privacy Information Center"	0.200825
"Violence Policy Center"	0.18835
"Congressional Research Service"	0.182624
"Chinese Academy of Social Sciences"	0.179514
"NationsBanc Montgomery Securities"	0.166219
"Families USA"	0.165636
"Democratic Leadership Council"	0.1566
"Natural Resources Defense Council"	0.154961
"Family Research Council"	0.149524
"think tank"	0.14616
"Conference Board"	0.139691
"Freedom Forum"	0.137207
"Yankee Group"	0.133313
"Human Rights Campaign"	0.13145
"Human Rights Watch"	0.128327
"National Conference"	0.12712
"Jupiter Communications"	0.124908
"CS First Boston"	0.124546
"Institute of Medicine"	0.120142
"Gartner Group"	0.118696
"Warburg Dillon Read"	0.118138
"Republican Leadership Council"	0.117985
Dataquest	0.117673
"Pew Research Center"	0.116862
"Kennedy School of Government"	0.116475
"Union of Concerned Scientists"	0.1155
"Office of Management and Budget"	0.114385
"League of Conservation Voters"	0.113906
"Harvard School of Public Health"	0.112233
"Goldman Sachs &AMP; Co."	0.111005
"General Accounting Office"	0.109499
DRI	0.108969
"George Washington University"	0.108395
"Common Cause"	0.108174
"Electronic Frontier Foundation"	0.107713
"Kaiser Family Foundation"	0.107505
"London School of Economics"	0.106596
"National Institute"	0.104198
"Prudential Securities"	0.104152
"ING Barings"	0.104014
"Public Citizen"	0.102754
Commerzbank	0.101877
"Development Research Center"	0.101693
"Gomez Advisors"	0.101634
Banc	0.101296
"American Association of Retired Persons"	0.101283
"Florida International University"	0.101013
"BancBoston Robertson Stephens"	0.0995094
"Forrester Research"	0.0991526
"Lehman Brothers"	0.0986336
"Chinese Academy of Sciences"	0.0970158
"Credit Suisse First Boston"	0.09682
"Hong Kong Trade Development Council"	0.0964774
"Donaldson, Lufkin &AMP; Jenrette"	0.0963744
"National Research Council"	0.0961769
"National Abortion and Reproductive Rights Action League"	0.0961116
"National Academy of Sciences"	0.0956409
"New York Civil Liberties Union"	0.0945185
"Center for Science"	0.0941739
"Standard Chartered Bank"	0.0938568
"Merrill Lynch &AMP; Co."	0.0938136
"American Petroleum Institute"	0.091969
"International Data Corp."	0.0915366
"Asia Society"	0.0914339
"Commission on Presidential Debates"	0.0910161
"Peking University"	0.0893354
"World Jewish Congress"	0.0888331
"Congressional Budget Office"	0.0874881
"Consumer Federation"	0.0866952
"China Society"	0.0858926
"Log Cabin Republicans"	0.0853916
"Smith College"	0.0852112
"United Nations Environment Program"	0.0842202
"National Federation"	0.0842174
"Environmental Defense Fund"	0.0842045
"consulting firm"	0.0840942
"Consumers Union"	0.0836448
"Goldman, Sachs &AMP; Co."	0.0835113
PaineWebber	0.0833598
"Cuban American National Foundation"	0.082952
"Merrill Lynch"	0.0825218
"Publicity Department"	0.082279
"Rockefeller University"	0.0822554
"Goldman Sachs"	0.0811108
"Edward Jones"	0.0795962
"State Administration of Internal Trade"	0.0792696
"American Association"	0.0789882
"U.S. Chamber of Commerce"	0.0786789
"ABN AMRO"	0.0785828
"Transparency International"	0.0780423
GOPAC	0.0774038
"China Association for Science"	0.0759401
"Federal Reserve Bank of New York"	0.0753691
"Paine Webber"	0.075326
AARP	0.0747449
"Investors Service"	0.0746709
"American Jewish Committee"	0.0745515
"Information Office"	0.0740696
"Dana-Farber Cancer Institute"	0.0738673
"NFL Players Association"	0.0736978
"Department of Education"	0.0736938
"All-China Journalists Association"	0.0736674
"Hambrecht &AMP; Quist"	0.0733931
"Bear Stearns"	0.0729164
"Morgan Stanley Dean Witter"	0.0719818
"U.N. Environment Program"	0.0714943
"Kennedy School"	0.0713349
"chamber of commerce"	0.0710341
"Fleet Financial Group"	0.0706208
"Air Transport Association"	0.0704941
"American Bankers Association"	0.0697577
"Wine Institute"	0.0694407
"Salomon Smith Barney"	0.0686442
"Columbia University"	0.0685348
"National Tourism Administration"	0.068264
"State Bureau of Environmental Protection"	0.0682437
"International Rescue Committee"	0.0680908
"Chinese Society"	0.0679862
"National Geographic Society"	0.0679481
"Harvard University"	0.0676014
"Georgetown University"	0.0675225
PricewaterhouseCoopers	0.0674874
"Council of Economic Advisers"	0.0671521
"Standard &AMP; Poor"	0.0669279
"Organization Department"	0.0666331
"teachers college"	0.0665524
"Southeastern Legal Foundation"	0.0663249
"Bank of America"	0.0662429
"American Association of Health Plans"	0.0657666
"Yale Law School"	0.0656152
"Morningstar Inc."	0.0655912
"Sierra Club"	0.0655801
"Deutsche Bank"	0.0655515
"National Cancer Institute"	0.0653576
"Business Council"	0.0653489
"Johns Hopkins University"	0.0648407
"Party School"	0.0648124
"State Administration of Cultural Heritage"	0.0647202
"University of Michigan"	0.0646069
"University of Kentucky"	0.064606
"Johnson Space Center"	0.0646022
"National Alliance"	0.0642978
"J.P. Morgan"	0.0642683
"Fudan University"	0.0642474
"Royal Bank of Scotland"	0.064234
"Association for Friendship"	0.0641938
"Atlanta Committee"	0.0639579
Paribas	0.0639483
"American Civil Liberties Union"	0.0639416
"United Nations Children's Fund"	0.0638706
"BBDO New York"	0.0637688
"Academy of Motion Picture Arts"	0.0637683
"U.S. Soccer Federation"	0.062848
"National Association of Manufacturers"	0.0626536
"Oxford University"	0.0624672
HKTA	0.0620915
"Motion Picture Association of America"	0.0619248
"Catholic Charities"	0.0616975
"University of Maryland"	0.0614101
"University of Virginia"	0.0613803
"Hong Kong Federation"	0.0612837
"Vanderbilt University"	0.0612577
"Operation Lifeline Sudan"	0.0612376
"United Front Work Department"	0.0610189
"Economic Planning Agency"	0.0609918
"Propaganda Department"	0.0609413
"Nahdlatul Ulama"	0.0609003
IDC	0.0608406
"Massachusetts Institute of Technology"	0.0607025
"Judicial Watch"	0.0606922
UNAIDS	0.0605451
"Nankai University"	0.060277
"Handgun Control Inc."	0.0599843
"North Carolina State University"	0.0598082
Caritas	0.0595264
"China National Tourism Administration"	0.0594842
"Department of Labor"	0.0591849
"University of Chicago"	0.0591201
"Beijing University"	0.059009
"Cambridge University"	0.0589478
"University of New Mexico"	0.0587725
"Auburn University"	0.0586038
"Xinhua News Agency Hong Kong Branch"	0.0585259
"Emory University"	0.0584022
"League of Women Voters"	0.0583048
"National Council of La Raza"	0.0582026
"European Bank for Reconstruction"	0.0580322
"National Republican Congressional Committee"	0.0579775
Forrester	0.057923
))
("center of attention" (desc 2777.11) (sims
"fall guy"	0.111227
double-teamed	0.0911683
gung-ho	0.0835346
"good person"	0.0809416
hyper	0.079399
pro-choice	0.0769858
"pain in the neck"	0.0748758
valedictorian	0.0735473
HIV-positive	0.0724749
"whipping boy"	0.0709027
typecast	0.0705624
"important person"	0.0704132
"black person"	0.0683316
player-coach	0.0682077
"big leaguer"	0.0675045
drug-free	0.0670672
breadwinner	0.0666489
bloomer	0.0662682
"law of the land"	0.0643621
user-friendly	0.0629915
"sounding board"	0.0629813
privy	0.0628218
scapegoat	0.062143
picky	0.0617982
"lightning rod"	0.0608307
harder	0.0604696
well-respected	0.060348
pushover	0.0601244
Americanized	0.0591997
co-president	0.0585686
"talk of the town"	0.0585201
outcast	0.0584899
"legal guardian"	0.0583528
figurehead	0.0579262
"throwing away"	0.0574306
"chairman emeritus"	0.0566691
wont	0.0565505
overweight	0.0563833
byword	0.0562417
batboy	0.0562169
heretic	0.0560083
"top dog"	0.0559669
"first person"	0.0558325
"draft dodger"	0.055363
antsy	0.0551395
punchline	0.054826
learner	0.0547592
apologist	0.0546371
pro-life	0.0545903
preachy	0.0544922
"first pitcher"	0.0541973
"rich man"	0.054013
non-issue	0.0538349
"powder keg"	0.0536694
"guinea pig"	0.0531719
doer	0.0531633
has-been	0.0531553
"second person"	0.0531312
"altar boy"	0.0529426
whistle-blower	0.0526583
miler	0.0525582
pariah	0.0524213
fifth-grader	0.0523206
paraplegic	0.052228
"professional golfer"	0.0520436
"double agent"	0.0516915
"risk taker"	0.0515343
headliner	0.0514931
"hard worker"	0.051304
"cause celebre"	0.0512678
laughingstock	0.0506661
recluse	0.0504308
"focal point"	0.0500677
"charter member"	0.0498338
"art director"	0.0497115
commoner	0.0497075
cog	0.0496831
stewardess	0.049416
"playing card"	0.0493664
"house guest"	0.0491594
handicapper	0.0490469
"order of the day"	0.0488639
first-rounder	0.0487494
"paying attention"	0.048368
"standard operating procedure"	0.0483611
"prime mover"	0.047917
AWOL	0.0478869
"mentally retarded"	0.0476302
goofball	0.0472263
Knick	0.0470871
capo	0.0468744
workhorse	0.0468728
vegetarian	0.0466653
quarterfinalist	0.0466401
"over .@@@"	0.0464962
agnostic	0.0462552
typist	0.0460818
ill.	0.04584
battler	0.045749
opportunist	0.0457459
churchgoer	0.0456652
DH	0.0455679
"pen pal"	0.0453858
semifinalist	0.0453618
accepting	0.045001
"guardian angel"	0.0449079
"Deep Throat"	0.0448789
"NBA All-Star"	0.0447974
perfectionist	0.0447954
motivator	0.0447248
"pass catcher"	0.0446797
organist	0.0445556
whore	0.0444882
outta	0.0444542
fullback	0.0444409
"decision maker"	0.04423
"hockey coach"	0.0439917
Kurd	0.0439155
"New Democrat"	0.0435534
no-show	0.0434497
arbiter	0.0434201
"guiding light"	0.0433711
"proving ground"	0.0432394
"visiting professor"	0.0430623
"Sydney Organizing Committee"	0.0430488
"reference point"	0.0430341
wacko	0.0428198
Caucasian	0.0427895
beautician	0.042598
"registered nurse"	0.0425877
"finance chief"	0.0423119
"strong force"	0.0421295
"prima donna"	0.0420458
carpetbagger	0.0420216
orator	0.0417667
realist	0.0417211
afterthought	0.041715
amputee	0.0415997
"hot issue"	0.0415671
goal-scorer	0.0415643
"determining factor"	0.0414841
Judas	0.0414172
screamer	0.0411793
Snitch	0.0411766
whiner	0.0411572
"drama critic"	0.0411038
"background noise"	0.0410762
"lame duck"	0.041038
grown-up	0.0409352
"black sheep"	0.0409345
"test pilot"	0.0408558
"major-league team"	0.0406308
crapshoot	0.0406108
sadist	0.0406106
Unabomber	0.0404824
atheist	0.0404154
plus-@	0.040381
"talent scout"	0.0403612
patsy	0.0403453
stripper	0.0403276
wimp	0.0403179
animator	0.040201
alarmist	0.0401929
"press agent"	0.0401913
bigot	0.040049
))
("center of gravity" (desc 2596.61) (sims
"balance of power"	0.0823404
"cost structure"	0.0790769
"burden of proof"	0.0754273
"bond rating"	0.0724941
"air pressure"	0.0717408
"income bracket"	0.0717394
"key rate"	0.0685816
"main office"	0.0685787
paradigm	0.0679149
birthrate	0.0645156
"tax bracket"	0.0637997
"body weight"	0.0633566
salinity	0.0628608
"blood sugar"	0.0627601
"hot issue"	0.0624175
"body temperature"	0.0618982
undercarriage	0.0608385
locus	0.0603335
"fertility rate"	0.0591982
threshhold	0.0590776
wattage	0.0587811
kingmaker	0.0576348
co-payment	0.0573623
"blood pressure"	0.0572721
axis	0.0569049
headcount	0.056718
"sticker price"	0.0566918
"population density"	0.0561749
caseloads	0.0557496
"horizontal stabilizer"	0.0556795
stabilizer	0.0556132
capitalisation	0.0553584
rightward	0.0551961
esteem	0.0550454
dynamics	0.054696
"circadian rhythm"	0.0545382
quotient	0.0542114
"flight path"	0.0537879
pollination	0.0535526
thermostat	0.0532523
C-section	0.0531518
"catalytic converter"	0.0530781
"high-water mark"	0.0529712
beachhead	0.0528316
"interest expense"	0.0528233
"water table"	0.0525592
TAXES	0.052373
pH	0.0521719
voltage	0.0519207
bleakness	0.0518947
"market penetration"	0.0516496
"turnover rate"	0.0515636
"front end"	0.0514025
heft	0.0511933
"pay rate"	0.0511566
hairline	0.0509044
deductibles	0.0508514
"noise level"	0.0508422
"birth rate"	0.0505998
equilibrium	0.0505322
"dollar amount"	0.0504945
"elephant population"	0.0502938
"sense of balance"	0.05002
"Space Needle"	0.0498325
JMC	0.0496603
"cooling system"	0.0496118
"sand dune"	0.0492692
"bank rate"	0.0492165
metabolism	0.0490673
spinnaker	0.0490271
"gas price"	0.0490029
"cast of characters"	0.0487844
"cost of living"	0.0487381
"music school"	0.0485894
macro-economy	0.0484049
"Ford Explorers"	0.0483897
"moral hazard"	0.0483615
"growth prospect"	0.0479668
"bid price"	0.0475908
"medical practice"	0.0474922
"landing gear"	0.0473659
Pe	0.0469708
"flash point"	0.0467256
unanimity	0.0466277
"pecking order"	0.0465514
cursor	0.046541
"rate of growth"	0.0464395
enrolment	0.0464377
"power structure"	0.0463916
tempo	0.0462229
contour	0.0461122
"starting point"	0.0460061
"dividend yield"	0.0460056
"social status"	0.0459612
"standard of living"	0.0458301
"borrowing cost"	0.0457999
"marketing cost"	0.0456218
GPA	0.0455054
viability	0.0454519
fragility	0.0451067
"sphere of influence"	0.0450751
"dividend payment"	0.0450412
"mushroom cloud"	0.0449734
imperatives	0.0449262
solidity	0.0448116
mind-set	0.0447691
toehold	0.0446574
octave	0.044627
"heart rate"	0.0444304
octane	0.0442334
"vacancy rate"	0.0441252
"production cost"	0.0439353
"guardian angel"	0.0439231
"coca crop"	0.0437405
"secondary education"	0.043682
"base of operations"	0.0436237
HDL	0.0435693
achiever	0.0435042
"frame of reference"	0.0433105
linchpin	0.0431975
"fishing season"	0.0431322
"common denominator"	0.0429668
"growth industry"	0.0429224
Opry	0.0428257
pronoun	0.0428132
parameter	0.0427909
"point of reference"	0.0427852
"list price"	0.0427207
"Joint Commission"	0.0427184
homocysteine	0.0425129
vibrancy	0.0425118
"poverty rate"	0.0424988
rudder	0.0421936
p/e	0.0421526
"decisive factor"	0.0421471
accoutrement	0.0421345
alignment	0.0421117
"safety standard"	0.0420566
probability	0.0420162
"trade barrier"	0.0419297
"time zone"	0.0418913
near-monopoly	0.0418694
"leadership role"	0.0416864
"data system"	0.0415825
caseload	0.0415759
"economic value"	0.0415555
"operating cost"	0.0415208
"starting time"	0.041325
"labor cost"	0.0412926
"caustic soda"	0.0412909
vaulter	0.0412906
Gillom	0.0412904
rpm	0.0412131
"defense mechanism"	0.0411748
back.	0.0411536
"labor pool"	0.0411172
"first school"	0.0410913
jackscrew	0.0410617
"selling price"	0.0410464
"second person"	0.0410343
"economic system"	0.0410144
Rev	0.0407927
"jet stream"	0.0407869
weightings	0.040738
cleavage	0.0407064
"tax income"	0.0406705
"trade policy"	0.0405446
toxicity	0.0404852
"component part"	0.0404168
colours	0.0403491
trajectory	0.0402879
globalisation	0.0402297
"leadership position"	0.0402104
"Snake River"	0.0401539
unpredictability	0.0401312
"leisure time"	0.0401201
"two meters"	0.0400706
forkball	0.0400607
))
("Center on Budget" (desc 1876.2) (sims
"Center for Responsive Politics"	0.289628
"Families USA"	0.289519
"Center for Strategic"	0.285889
"Urban Institute"	0.265864
"Electronic Privacy Information Center"	0.248738
"Congressional Research Service"	0.219217
"Center for Democracy"	0.217187
"Brookings Institution"	0.214074
"Violence Policy Center"	0.209782
"Human Rights Campaign"	0.203825
"Pew Research Center"	0.182557
"Heritage Foundation"	0.181258
"Cato Institute"	0.17169
"Republican Leadership Council"	0.161616
"Kaiser Family Foundation"	0.155079
"American Enterprise Institute"	0.15257
"Transparency International"	0.152296
"Human Rights Watch"	0.151765
"Conference Board"	0.149727
"think tank"	0.149473
"Public Citizen"	0.145648
"Common Cause"	0.143449
"Institute of Medicine"	0.142466
"Log Cabin Republicans"	0.133983
"Democratic Leadership Council"	0.129057
"RAND Corp."	0.128868
"Air Transport Association"	0.128665
Dataquest	0.127513
"American Petroleum Institute"	0.127277
"Jupiter Communications"	0.126864
"Family Research Council"	0.125799
"American Association of Retired Persons"	0.125341
"League of Conservation Voters"	0.125146
"Natural Resources Defense Council"	0.124854
"Electronic Frontier Foundation"	0.1205
"National Research Council"	0.118016
GOPAC	0.116327
"Forrester Research"	0.116193
"Operation Lifeline Sudan"	0.115293
"World Jewish Congress"	0.11484
"State Bureau of Environmental Protection"	0.114439
"National Alliance"	0.114151
"Congressional Budget Office"	0.114036
"Cuban American National Foundation"	0.113675
"New York Civil Liberties Union"	0.113353
"Harvard School of Public Health"	0.112719
"Presidential Office"	0.112512
"Carnegie Endowment"	0.112097
"Xinhua News Agency Hong Kong Branch"	0.110997
"Gartner Group"	0.109034
"Union of Concerned Scientists"	0.108439
"Handgun Control"	0.108253
"National Academy of Sciences"	0.107726
"Economic Planning Agency"	0.106681
"International Rescue Committee"	0.106079
"National Institute"	0.105015
"Handgun Control Inc."	0.104989
"Wine Institute"	0.104608
"Consumers Union"	0.104043
"Commission on Presidential Debates"	0.10355
"World Church"	0.102511
"Council on Foreign Relations"	0.102465
"Yankee Group"	0.101298
"Office of Management and Budget"	0.101274
"National Abortion and Reproductive Rights Action League"	0.101262
Caritas	0.100649
"General Accounting Office"	0.100024
"National Federation"	0.0989257
"State Administration of Taxation"	0.0973893
"Judicial Watch"	0.0972243
"Information Center"	0.0957721
"State Statistical Bureau"	0.0938228
"National Council of La Raza"	0.0927948
AARP	0.0919436
"Environmental Defense Fund"	0.0914825
"Business Council"	0.0912716
"Development Research Center"	0.0909294
"National Bureau of Statistics"	0.0898084
"Anti-Defamation League"	0.0885454
"Chinese Academy of Social Sciences"	0.0857096
PricewaterhouseCoopers	0.0849139
TrustE	0.0847687
"Council of Economic Advisers"	0.084733
"State Environmental Protection Administration"	0.0845766
"China National Tourism Administration"	0.0838114
"American Association of Health Plans"	0.0834197
"Consumer Federation"	0.0820009
"Center for Science"	0.0816627
"Hong Kong Tourist Association"	0.081324
"Promise Keepers"	0.0812925
"Department of Public Health"	0.0805023
"District Council"	0.0804687
UNAIDS	0.0798631
"Field Poll"	0.0792849
"Information Office"	0.0790732
"Amnesty International"	0.0790219
"Standard Chartered Bank"	0.0784333
"Rainbow/PUSH Coalition"	0.0778696
"Freedom Forum"	0.0773696
"State Statistics Bureau"	0.0770205
"Kennedy School of Government"	0.0764422
"PC Data"	0.0763952
"Sierra Club"	0.075916
"Nahdlatul Ulama"	0.0759042
HKTA	0.0758018
"Iraqi National Congress"	0.0754469
"Recording Industry Association of America"	0.0754454
"Department of Labor"	0.0752133
IEA	0.0747485
"National Highway Traffic Safety Administration"	0.0744024
"United Nations Children's Fund"	0.074352
"United Nations Environment Program"	0.0739284
"American Civil Liberties Union"	0.0731568
"International Data Corp."	0.0729093
"National Tourism Administration"	0.0720456
"Hong Kong Trade Development Council"	0.0715185
Gao	0.0714247
Forrester	0.0709791
"American Jewish Committee"	0.070851
"State Administration for Industry"	0.0706929
"National Education Association"	0.0704069
"College Board"	0.0702641
"National Security Agency"	0.0700686
"State Administration of Cultural Heritage"	0.0689483
"Political Department"	0.0688565
"U.S. Census Bureau"	0.0683834
"Liaison Office"	0.0681245
"BBDO New York"	0.068015
"Foreign Affairs Office"	0.067927
"State Seismological Bureau"	0.0675251
"Organization of American States"	0.0675226
"Department of Education"	0.0674594
"State Bureau of Cultural Relics"	0.0673008
"Labor Department"	0.0671311
"World Vision"	0.0670025
"Securities Industry Association"	0.0668727
"Southeastern Legal Foundation"	0.0666883
"Lincoln Center Theater"	0.0666547
"Gomez Advisors"	0.0664734
"U.N. Office"	0.0657792
"United Nations Population Fund"	0.0656737
"National Democratic Alliance"	0.0653727
"consulting firm"	0.0650879
"Census Bureau"	0.0650685
"National Cancer Institute"	0.0648248
"Bureau of Labor Statistics"	0.0645933
ISTAT	0.0645055
"NationsBanc Montgomery Securities"	0.0645047
"Union of Right Forces"	0.0639033
"Taiwan Affairs Office"	0.0638349
"National Council of Churches"	0.0637568
"International Labor Organization"	0.0637104
"National Marine Fisheries Service"	0.0636031
"Criminal Investigation Department"	0.0635898
"ING Barings"	0.0635292
"Nielsen Media Research"	0.063386
"General Logistics Department"	0.0627849
"T. Rowe Price"	0.0627263
"Central Bank of Kenya"	0.0624761
Asahi	0.0622278
"Democratic Action"	0.0621976
"State Forestry Administration"	0.0620256
Eurostat	0.0616284
Greenpeace	0.0615792
"Census and Statistics Department"	0.0614354
"Central Intelligence Agency"	0.0613551
"National Economic Council"	0.0605599
"NFL Players Association"	0.0601477
"Department of Finance"	0.0596416
"CS First Boston"	0.0594453
"U.S. Immigration and Naturalization Service"	0.0591995
"right to life"	0.0589666
"Kennedy School"	0.0587622
Nepa	0.0584956
"trade association"	0.0582903
"Media Metrix"	0.0582123
"Airport Authority"	0.0577714
DRI	0.0577713
"National Conference"	0.0576686
"National Hurricane Center"	0.0575187
"Nevada State Athletic Commission"	0.0574512
"Ministry of Tourism"	0.0573931
"American Medical Association"	0.0571089
"Investors Service"	0.0568109
CNTA	0.0561436
"International Badminton Federation"	0.0560158
"Xinhua News Agency"	0.0559203
"Labor office"	0.0558115
"Federal Trade Commission"	0.0557579
"General Political Department"	0.0556934
"National Organization"	0.0552814
"Central Election Commission"	0.055076
"U.S. Geological Survey"	0.0550695
"National Association of Realtors"	0.0548273
"U.S. Soccer Federation"	0.0546872
"National Republican Congressional Committee"	0.0545458
acorn	0.0545378
"American Academy of Pediatrics"	0.0544796
"International Finance Corporation"	0.054394
"Department of Agriculture"	0.054379
))
("Center Party" (desc 2956.16) (sims
"National Religious Party"	0.192661
"Canadian Alliance"	0.169094
Meretz	0.167686
"Likud Party"	0.158718
Likud	0.144366
"New Democracy"	0.143651
Shas	0.134511
UNIP	0.131461
"Freedom Union"	0.131357
"Christian Social Union"	0.129796
"Congress Party"	0.125336
UNP	0.124996
"Labor Party"	0.12456
"Democratic Unionist Party"	0.120848
"Liberal Party"	0.118767
"Meretz Party"	0.118563
Lakas	0.113167
"National Action"	0.113016
"United National Party"	0.112784
"National League for Democracy"	0.112408
"Nepali Congress"	0.112143
"New Aspiration Party"	0.112126
SDP	0.112063
"United Democratic Movement"	0.111
"Shas Party"	0.110648
"Social Democrats"	0.1094
"Free Democrats"	0.109369
"Virtue Party"	0.109185
"Parti Quebecois"	0.108916
"Motherland Party"	0.107499
"Conservative Party"	0.106541
"National Party"	0.105711
"search committee"	0.105561
"Democratic Progressive Party"	0.105166
FORD-Kenya	0.104968
"Liberation Front"	0.104502
"Nationalist Party"	0.103912
UDF	0.102714
"Social Democratic"	0.101131
"Socialist Party"	0.101126
"True Path Party"	0.0999504
SDLP	0.0996249
Yabloko	0.0996144
"Social Democratic Party"	0.0994996
PDP	0.0993496
Hezb-i-Islami	0.0989509
RPR	0.0987387
NLD	0.0972428
"Russian Communist Party"	0.0967961
"Bharatiya Janata Party"	0.096137
"Operation Rescue"	0.0951059
"Republican House"	0.0945484
CPN-UML	0.094452
"Bangladesh Nationalist Party"	0.0940714
"Islamic Movement"	0.0936134
PCF	0.0935007
"Civic Democratic Party"	0.0932906
"Green Party"	0.0926646
CUF	0.0922585
MDC	0.091424
PML	0.0913908
"Islamic Jihad"	0.0913607
"Christian Democrats"	0.0910725
"Kurdish Workers Party"	0.0910643
"Free Democratic Party"	0.0907341
"National Democratic Party"	0.0905407
"opposition party"	0.0902231
"Communist Party"	0.0900067
PASOK	0.0898301
"Independence Party"	0.0897613
"Union of Right Forces"	0.0892764
SDS	0.0892452
"Labour Party"	0.0891941
"Liberal Democratic Party"	0.0891037
"Radical Party"	0.0890768
"Congressional Black Caucus"	0.0888966
"Democrat Party"	0.0885199
"Serbian Renewal Movement"	0.0884913
"Rwandan Patriotic Front"	0.0880258
NRP	0.0875848
"People's Party"	0.0873522
PML-N	0.0870555
NDP	0.0869823
Lakas-NUCD	0.0867883
UUP	0.0864358
Zajedno	0.0864282
"NZ First"	0.086345
"Colorado Party"	0.086238
"Ulster Unionist Party"	0.086189
Amal	0.0861275
"Freedom Front"	0.086075
"Christian Democrat"	0.0859913
"Republican Senate"	0.085924
Renamo	0.0854622
"Welfare Party"	0.0851916
DAP	0.0851717
"United Front"	0.0846907
NDA	0.0842189
"United Liberal Democrats"	0.0841699
"National Alliance"	0.0838027
Gesher	0.0832746
"Palestine Liberation Organization"	0.0830341
"Ulster Unionist"	0.0825299
SPLA	0.0824827
BJP	0.0822909
"Democratic Leadership Council"	0.082278
PDI	0.0822297
BNP	0.081959
NP	0.0819173
"Aryan Nations"	0.0818116
PRD	0.0817105
"Christian Democratic Union"	0.081619
"Sam Rainsy Party"	0.0815368
center-right	0.0811819
"New Zealand First"	0.0808758
"Democratic Revolution Party"	0.0808554
"Russian Orthodox Church"	0.0805208
"Red Army"	0.0800846
"Social Democrat"	0.0797466
CSC	0.0794595
"Nation Party"	0.079369
"New Democrats"	0.0792638
"Grand National Party"	0.0790835
"Freedom Party"	0.0788809
Sakigake	0.0783821
UMNO	0.0780087
"Pakistan People's Party"	0.0776514
"Serbian Radical Party"	0.0776086
MMD	0.077598
"Muslim Brotherhood"	0.0770683
"Democratic Alliance"	0.0770332
CDU	0.0770068
"National Republican Congressional Committee"	0.076999
"Awami League"	0.0768971
"National Front"	0.0768945
"Inkatha Freedom Party"	0.0767485
"General Security Service"	0.0764079
"Democratic Party"	0.0762777
MQM	0.0761953
LCD	0.076098
"Cambodian People's Party"	0.0759502
FUNCINPEC	0.0758837
"House Republican"	0.075666
"Kenya African National Union"	0.0755279
socialist	0.075284
"New Party"	0.0751575
"National Action Party"	0.0749348
Mensa	0.0748545
"Real IRA"	0.0746233
"New Korea Party"	0.0744888
"Justice Party"	0.0744847
"New Komeito"	0.074473
"Mormon Church"	0.0743634
"National Democratic Alliance"	0.0742921
"Family Research Council"	0.0741244
PPP	0.0740216
Jamaat-e-Islami	0.0739125
SPD	0.0738336
"United National Independence Party"	0.0736554
"Herri Batasuna"	0.0735841
"blue angel"	0.0734126
"Pakistan Muslim League"	0.0734086
"Democratic Revolution"	0.0733825
MNLF	0.0733616
RUF	0.0730903
"Sudan People's Liberation Army"	0.0730602
CCM	0.0728743
KDP	0.0728392
RCD	0.0724554
CPP	0.0723981
RPP	0.0718593
"Golkar Party"	0.0716433
Golkar	0.0714411
"Israeli Foreign Ministry"	0.0713117
"Caribbean Community"	0.0710488
KNU	0.0708233
"Barisan Nasional"	0.070534
"African National Congress"	0.0704172
Fatah	0.0703326
"Moro National Liberation Front"	0.0701851
"District Council"	0.0698249
"Popular Party"	0.0696962
"China Democracy Party"	0.0694782
"Islamic Welfare Party"	0.0694142
"Islamic Resistance Movement"	0.0691199
"Kurdistan Workers Party"	0.0689048
"Zimbabwe African National Union-Patriotic Front"	0.0688965
WNBF	0.0686946
NC	0.0685488
"Christian Democratic Party"	0.0685005
"Palestinian Council"	0.0684961
"Pan Africanist Congress"	0.0684528
guild	0.0683355
CMAG	0.0683091
Histadrut	0.0679346
NKP	0.0678729
"secret society"	0.0677984
"Janata Dal"	0.0676748
G@@	0.0674118
"reform movement"	0.067323
))
(center-left (desc 1574.87) (sims
center-right	0.141255
"Democratic Left Party"	0.103943
Yabloko	0.103114
LDP	0.0999994
UNIP	0.0993515
"Social Democrats"	0.0990143
socialist	0.0921763
"Christian Democratic Union"	0.091295
"Janata Dal"	0.0898762
RPP	0.0850854
PML-N	0.0810926
RPR	0.0786497
"Liberal Democratic Party"	0.0758033
"Christian Democrats"	0.0748051
UDF	0.0747126
"Cambodian People's Party"	0.0745467
"Bharatiya Janata Party"	0.0745462
"True Path Party"	0.072168
"Canadian Alliance"	0.0718695
"United Front"	0.068636
Gesher	0.0684581
"People's Alliance"	0.0680124
"Warsaw Pact"	0.0678011
Meretz	0.0668054
UF	0.0648526
"New Korea Party"	0.0643897
"Parti Quebecois"	0.064028
"Congressional Republicans"	0.0637862
"Center Party"	0.0632992
CPN-UML	0.0629456
"Social Democratic"	0.0629244
fatherland	0.0626846
"Kenya African National Union"	0.0619148
Islamists	0.0615633
"Gulf War"	0.0604038
NC	0.0601311
"Congress Party"	0.0599731
"Democratic Left"	0.0598452
FUNCINPEC	0.0596323
"Union of Right Forces"	0.059541
"Russian Communist Party"	0.059194
"Kurdish Workers Party"	0.0590621
"United Democratic Movement"	0.0587804
"Nepali Congress"	0.0586387
SDMI	0.0586228
Likud	0.0584911
hardline	0.0583385
"National Front"	0.0582505
royalist	0.0579751
"Kurdish Workers"	0.0576311
"People's Party"	0.0573706
Amal	0.0572273
"Socialist Party"	0.0572058
"Freedom Front"	0.0565731
SPD	0.0565029
"Red Army"	0.0564872
"Pakistan People's Party"	0.0563585
MQM	0.0556919
"Dan Lungren"	0.0554992
"New Democrats"	0.0553679
"Awami League"	0.0550911
"Mesut Yilmaz"	0.0549282
"New Democracy"	0.0547592
EX-COMMUNISTS	0.0543372
MMD	0.0541764
"Garry Kasparov"	0.0541728
"National Action"	0.0537804
"Barisan Nasional"	0.0533471
"Bangladesh Nationalist Party"	0.0528649
Juncker	0.0527189
Sandinistas	0.0523994
"Royal Government"	0.0522466
"Prime Minister Banharn Silpa-Archa"	0.0520344
"Pakistan Muslim League"	0.0519914
"Likud Party"	0.0518903
"Vancouver Canucks"	0.0518473
"CHARLOTTE STING"	0.0513877
Garang	0.0508679
Plavsic	0.0507176
DSP	0.0507141
"Democrat Party"	0.0505258
Lakas	0.050503
Slavic	0.0504264
FRELIMO	0.0504209
"New Komeito"	0.0503893
pro-British	0.0501172
unionist	0.0499147
"Croatian Democratic Union"	0.0495794
Wakanohana	0.0489682
"Dallas Burn"	0.0489302
Chavalit	0.048907
"Gerhard Schroeder"	0.0488144
pro-Islamic	0.0487844
NRP	0.0485193
"Social Democratic Party"	0.0484806
Supersonics	0.0481176
"National Democratic Alliance"	0.0479792
Renamo	0.0477375
Zhirinovsky	0.0475806
SDLP	0.0474971
CCM	0.0474232
"Fighting Irish"	0.046984
Barrie	0.0469536
"Democratic Revolution"	0.0469317
Megret	0.0467901
Tory	0.046747
CSC	0.0467433
Muslim-Croat	0.0467316
Conte	0.0466707
"Liberal Party"	0.0464843
"Ulster Unionist Party"	0.046386
Guterres	0.0462527
RCD	0.0462209
Dehaene	0.0461749
Hagelin	0.0461337
"United National Party"	0.0460644
"Christian Social Union"	0.0460017
Quakers	0.0457321
"Liberal Democrats"	0.0457081
"pound sterling"	0.0457002
"Serbian Renewal Movement"	0.0455281
"Herri Batasuna"	0.0454807
Laban	0.045465
Jospin	0.0454352
"Congressional Black Caucus"	0.0453726
Peoples	0.0453272
SDP	0.0451014
"Jehovah's Witnesses"	0.045057
"Caribbean Community"	0.0449413
Golkar	0.0448232
"Group of Rio"	0.0447043
D-Iowa	0.0444602
"National Religious Party"	0.044388
"Orthodox Christian"	0.044345
Kanu	0.0442391
"Popular Party"	0.0441846
ethicists	0.0441075
Phieu	0.0441073
"Vladimir Meciar"	0.0437328
"Western European"	0.0436664
"National Party"	0.0436412
Bruton	0.0435251
CDU	0.0433762
Brownback	0.0433751
"Felipe Gonzalez"	0.0430628
Greenpeace	0.0429202
"Adlai Stevenson"	0.0429024
NKP	0.04288
Kumaratunga	0.0428504
"National Action Party"	0.0427824
"Patriotic Union of Kurdistan"	0.0426557
UMNO	0.0425885
Ganassi	0.0425052
BJP	0.0424097
PASOK	0.0423959
"Civic Democratic Party"	0.0422703
Hezb-i-Islami	0.0421987
Angara	0.0421231
Balaguer	0.0420436
Musashimaru	0.041888
secularism	0.0417237
"Labour Party"	0.0416129
Klink	0.0414837
"opposition party"	0.0414508
"Chuan Leekpai"	0.0413533
"Lesotho Congress"	0.0413417
NSC	0.0412705
"Berlin Philharmonic"	0.0411747
Banharn	0.041122
"political movement"	0.0410447
Uri	0.0409958
"Conservative Party"	0.0409853
"vanilla bean"	0.040921
"Hugo Chavez"	0.0409026
"South Vietnamese"	0.0408352
"National League for Democracy"	0.0407827
"Lebanese Hezbollah"	0.0406957
"North Atlantic"	0.0405795
Otpor	0.040447
ecologist	0.0404299
"National Democratic Party"	0.0403386
Fatah	0.0401024
))
(center-right (desc 1009.79) (sims
PML-N	0.182316
"Democratic Left"	0.153461
Lakas-NUCD	0.151975
center-left	0.141255
"Democratic Revolution"	0.139991
"Canadian Alliance"	0.137081
UDF	0.130025
"Herri Batasuna"	0.129881
"National Action"	0.128226
U.S.-led	0.125761
"Kenya African National Union"	0.125134
"Pakistan Muslim League"	0.122559
"Nationalist Party"	0.120408
Zajedno	0.119659
"New Korea Party"	0.118455
"Barisan Nasional"	0.116872
"National Front"	0.112929
"Nepali Congress"	0.11168
"Christian Democratic Union"	0.111096
"Bharatiya Janata Party"	0.109842
SDLP	0.106993
PASOK	0.104149
"Democratic Progressive Party"	0.101921
"United Front"	0.100488
Laban	0.100138
Likud	0.0973685
"Social Democrats"	0.0966305
"Russian Communist Party"	0.0950359
SDP	0.0941481
EX-COMMUNISTS	0.0939722
PDP	0.0938831
"Democratic Revolution Party"	0.0934076
BN	0.0922101
"Liberal Party"	0.0914949
ragtag	0.0913593
"Likud Party"	0.0909831
"National Action Party"	0.0907905
BJP	0.0900992
RIAA	0.0896722
"Serbian Radical Party"	0.0889717
"Lebanese Hezbollah"	0.0882436
Yabloko	0.0881201
"Union of Right Forces"	0.0880769
PML	0.0880749
NDA	0.087973
"Grand National Party"	0.0857608
UNIP	0.0855346
"Democratic Revolutionary Party"	0.0854955
UF	0.0849277
"Patriotic Union of Kurdistan"	0.0845154
"Democratic Left Party"	0.0845052
"Social Democratic"	0.0845015
"Janata Dal"	0.0844745
"Sephardic Jews"	0.0844585
"Free World"	0.0842533
FRELIMO	0.083767
"People's Democratic Party"	0.0835756
"Colorado Party"	0.0833216
Meretz	0.0832038
PDI-P	0.0825655
SPD	0.0820678
"Center Party"	0.0811819
INTERFET	0.0810609
"New Party"	0.0808143
CDU	0.0806594
Golkar	0.0803667
NDP	0.0803651
UNP	0.0802465
PRD	0.0797259
APP	0.0794811
"Progressive Party"	0.0790557
"Awami League"	0.0788569
"King Sihanouk"	0.0785608
"Christian Democrats"	0.0784108
"Congress Party"	0.0781762
CCM	0.0781162
"Pakistan People's Party"	0.0780753
Renamo	0.0776294
fatherland	0.0773947
"jet set"	0.0768165
royalist	0.0767652
Jamaat-e-Islami	0.0767423
FORD-Kenya	0.0760372
"Islamic Movement"	0.0758554
"Indonesian Democratic Party"	0.0757458
"National Democratic Alliance"	0.0757283
"National League for Democracy"	0.0756925
pro-British	0.0755321
"People's Party"	0.0754479
CPP	0.0752746
"Croatian Democratic Union"	0.0752162
"Blue Dog"	0.0750078
"Social Democratic Party"	0.074004
Kuomintang	0.0732551
"Cambodian People's Party"	0.0732076
"Christian Democratic Party"	0.0731665
Helms-Burton	0.0725571
pro-Islamic	0.0723941
"right to life"	0.0723272
"Democratic Alliance"	0.0719983
"Institutional Revolutionary Party"	0.0717662
Gesher	0.0715516
"Liberal Democratic Party"	0.0713284
Chavalit	0.0712026
RPR	0.0704235
"Freedom Front"	0.0695845
"National Party"	0.069489
"Labour Party"	0.0694756
"Popular Party"	0.0688627
"Serbian Renewal Movement"	0.0686204
"United National Party"	0.0685337
"Socialist Party"	0.0682754
Lipponen	0.0678645
"Democrat Party"	0.0676694
"Conservative Party"	0.0676077
"New Democrats"	0.0671439
"New Democracy"	0.0670066
"Serbian Orthodox Church"	0.0669405
Heinrichs	0.066817
"Ulster Unionists"	0.0666225
"National Democratic Party"	0.0665023
"opposition party"	0.0663328
NC	0.0663065
Xiong	0.0657792
"social democracy"	0.0657537
"Green Party"	0.0651374
"United Democratic Movement"	0.0651226
SANDF	0.0645138
Granic	0.0644724
FEDERALIST	0.0643414
Catalan	0.0642808
Solis	0.0637594
"Christian Social Union"	0.0630882
Tory	0.0629615
Luethke	0.0624056
LDP	0.0622414
BNP	0.06209
"Fighting Irish"	0.0618281
RRA	0.061759
"Liberation Front"	0.0616997
"Islamic Salvation Front"	0.0616573
"Muslim Brotherhood"	0.0615491
Guterres	0.0615158
Poplasen	0.0613909
"Ulster Unionist Party"	0.0613373
"Vladimir Meciar"	0.0611491
"Bangladesh Nationalist Party"	0.0608242
reformist	0.060753
"United National Independence Party"	0.0607224
"Jean-Marie Le Pen"	0.0604624
Kanu	0.0603017
Lindland	0.0602401
secularist	0.0602086
CPN-UML	0.0598055
"Independence Party"	0.0595413
"Greek Orthodox Church"	0.0592268
FUNCINPEC	0.0591755
Sakigake	0.0590954
RPP	0.0589753
MMD	0.0587838
PCF	0.0587421
SPS	0.0584731
"Warsaw Pact"	0.0583671
"New Aspiration Party"	0.0583145
"United Malays National Organization"	0.057944
NP	0.0577405
"Caribbean Community"	0.0575775
"Democratic Unionist Party"	0.0572797
NRM	0.056954
"Democratic Action"	0.0568066
"Gaullist Rally"	0.0567312
"Orthodox Church"	0.0565986
Bedie	0.0561913
"Democratic Convention"	0.0560926
"Real IRA"	0.055967
"Joerg Haider"	0.0559182
"Sam Rainsy Party"	0.0559066
Klaus	0.0556166
"National Religious Party"	0.0555552
veep	0.0554255
MQM	0.055338
"Liberal Democrats"	0.0553316
dovish	0.0552954
Lakas	0.0552443
"Mesut Yilmaz"	0.0551021
"Gulf War"	0.0549646
"trucking industry"	0.0549358
Awami	0.0547614
"Sam Rainsy"	0.0545614
Jong	0.0544513
pro-business	0.0544344
Shayler	0.0542121
"Inkatha Freedom Party"	0.0541849
Balaguer	0.0539919
Lobos	0.0538754
Aristide	0.0538701
PPP	0.0538109
Blackthorne	0.0537531
Ochoa	0.053741
CUF	0.0537278
))
(centerfield (desc 1646.23) (sims
rightfield	0.376519
leftfield	0.327837
outfield	0.139054
"center field"	0.121326
"Kyle Field"	0.105929
"right field"	0.105822
eight-foot	0.104961
"left field"	0.101773
"Green Monster"	0.0879717
"State House"	0.0879254
"rock climbing"	0.0848184
curbside	0.0726497
plasterboard	0.071901
"wrought iron"	0.0699037
Quay	0.0642383
goalpost	0.0601634
"ponderosa pine"	0.0580955
six-foot	0.0580921
"olive green"	0.0568529
clapboard	0.0560572
"upper deck"	0.0558196
Technicolor	0.0554244
bulkhead	0.0546804
"closed circuit"	0.0535184
"Busch Stadium"	0.0535043
sheetrock	0.0514125
"army engineer"	0.0512307
sandstone	0.0506914
lead-off	0.0506817
"County Stadium"	0.0502316
JERRY's	0.0495287
Universiade	0.0493237
"sheet metal"	0.0485245
chancellery	0.0481996
"shoulder blade"	0.0468582
BSF	0.0466962
curvy	0.0462253
"eye socket"	0.0461901
epee	0.0458053
croquet	0.045658
"Trans World Dome"	0.0452827
videophone	0.0447136
"Gene Williams"	0.0443361
three-mile	0.0439219
Syrian-Israeli	0.0437672
"over two"	0.0433222
"weather forecaster"	0.0428822
one-night	0.0427469
Wrigley	0.0426542
installing	0.0425479
"Center Court"	0.0422974
two-mile	0.041987
"dark red"	0.0418828
"U.S. Treasury Department"	0.0418058
courtside	0.0417424
three-meter	0.0416665
halfback	0.0416351
parimutuel	0.0414413
beachfront	0.0411271
led	0.0411202
headboard	0.0410499
triceps	0.0407854
Pd	0.0407661
"six to @@"	0.0404648
"two to four"	0.0404398
glitzy	0.0400184
))
(Centerfold (desc 876.397) (sims
pictorial	0.126274
pinup	0.123964
"cover girl"	0.108189
"Hugh Hefner"	0.0910441
playmate	0.0904988
"matinee idol"	0.0826816
stepbrother	0.072306
daguerreotype	0.0706963
bogeyman	0.0706563
bunny	0.0685656
Beatle	0.064967
swimsuit	0.0647326
"nuclear family"	0.0638588
Powerbook	0.0637651
stuntman	0.0631194
"Hail Mary"	0.061518
hatchback	0.0603725
stent	0.0603542
camcorder	0.0586614
ghostwriter	0.0583817
paella	0.0577672
councilwoman	0.0575771
"big leaguer"	0.0563386
"Sarah Ferguson"	0.0563243
starlet	0.0559318
"high fashion"	0.055732
"cassette recorder"	0.0556508
"private eye"	0.0556299
demo	0.0551739
"William Shatner"	0.0536578
"parlor game"	0.0532099
"Islamic Welfare Party"	0.0530779
Bauhaus	0.0528247
Hummer	0.0525571
"jazz festival"	0.0524657
cellmate	0.0522607
Webcam	0.052246
S@@	0.052176
"parade ground"	0.0520292
fishbowl	0.0519631
Lego	0.0519079
"volleyball player"	0.0516256
Ricart	0.0514167
"fictional character"	0.0510461
Maximus	0.050917
"computer language"	0.0505097
midsize	0.0504583
Reel.com	0.0500733
housemate	0.0497868
"chicken coop"	0.049762
six-point	0.0495167
tahini	0.0494898
"Dennis Johnson"	0.0489344
"compact car"	0.0487857
Boomerang	0.0487005
cartoonish	0.0485294
Prius	0.0484404
curvy	0.0483082
"Joint Strike Fighter"	0.0482938
Spenser	0.0482851
"Word of God"	0.0482219
Vixen	0.0482213
Passat	0.0482185
"hypodermic needle"	0.0482083
claimer	0.0478692
"Kate Moss"	0.0478078
Aliev	0.0476408
techie	0.0475066
masseuse	0.0474477
sunbather	0.0473331
"stock company"	0.0473232
capella	0.0470874
macro	0.0470686
dot.com	0.0470381
kayaker	0.0470357
tabletop	0.0470052
VH-@	0.0466975
Bostonian	0.0466304
"salad dressing"	0.0461542
hardtop	0.0459743
"Secretary of Commerce"	0.0458846
grabber	0.0458748
"marketing cost"	0.045809
SETTLES	0.0457519
"postmaster general"	0.0457173
"fortune cookie"	0.0456791
"bag of tricks"	0.0456604
Alero	0.0455057
"police lieutenant"	0.0454855
Camaro	0.0454812
BLUETOOTH	0.0452689
supermodel	0.0452432
"film star"	0.0451717
"Blue Dog"	0.0449985
"exotic dancer"	0.0449183
"hunting ground"	0.0447788
ingenue	0.0447691
knucklehead	0.0445496
canard	0.0444682
first-grader	0.044458
thumbnail	0.0444323
V@@	0.044276
Torvalds	0.0442614
"Black Panther"	0.0441356
stripper	0.0441111
no-frills	0.0440661
woodcut	0.0439855
"Claudia Schiffer"	0.0439626
Walkman	0.0438607
"point system"	0.0438416
"hockey coach"	0.043789
"NBA All-Star"	0.0435666
"Old Trieste"	0.0435421
"jigsaw puzzle"	0.0435082
"whipping boy"	0.0434828
hedgehog	0.0434381
"Lowell Weicker"	0.0434021
farmhand	0.0433446
"margin call"	0.0433353
richer	0.0433009
Denis	0.0432564
"electronic database"	0.0432486
voyeurism	0.043223
gob	0.0431935
voyeur	0.0431522
iBook	0.0428559
"State Law and Order Restoration Council"	0.042807
"other eight"	0.0427981
DV	0.0427813
"Lokendra Bahadur Chand"	0.0427187
"picture postcard"	0.0427005
"female body"	0.042618
Smokey	0.042548
down-and-out	0.0425169
"piggy bank"	0.0424516
Acela	0.0423264
"Land Rover"	0.042246
"cast of characters"	0.0422064
toupee	0.0421774
reenactment	0.0421007
looper	0.0421003
splotch	0.0420847
exterminator	0.0420596
snowflake	0.0420247
"silicon chip"	0.041914
lifesaver	0.0418224
"guessing game"	0.0417675
spiffy	0.0416702
stapler	0.0416121
Gurkha	0.0416092
infomercial	0.0415528
"Miller Park"	0.0413458
"little leaguer"	0.0412666
"Black Panthers"	0.0412453
Jetta	0.0412132
"Peter Lynch"	0.0411861
bodybuilder	0.0410257
microcomputer	0.0410184
"Ford Mustang"	0.0409801
mermaid	0.0408998
asp	0.040875
Hurlyburly	0.0408187
Perec	0.0407564
papier-mache	0.0406972
decorator	0.0405988
S-@@	0.0405692
"opera star"	0.0405547
"animal skin"	0.0404544
alderman	0.0403923
Iliescu	0.0403457
remotes	0.0403224
"time capsule"	0.0403181
impala	0.0400546
))
(centerpiece (desc 34869.6) (sims
cornerstone	0.128416
"focal point"	0.095782
linchpin	0.0928777
highlight	0.0891924
element	0.0741623
focus	0.0726231
theme	0.0704866
priority	0.0700435
culmination	0.0669355
hallmark	0.0637132
"first step"	0.0632957
outline	0.0625113
crux	0.0615183
thrust	0.0612858
core	0.0611944
component	0.0605319
plank	0.0596787
objective	0.0582296
aspect	0.0580971
battleground	0.0547859
pillar	0.0547133
"starting point"	0.0546483
success	0.0545474
architect	0.0544554
staple	0.0544007
preview	0.0542298
climax	0.0537633
example	0.0531502
bedrock	0.0530742
largest	0.0529232
continuation	0.0527324
blueprint	0.0523294
mainstay	0.0521879
outgrowth	0.0519858
keystone	0.0516718
subtext	0.0515383
backbone	0.0512766
"crown jewel"	0.051211
showcase	0.0500725
attraction	0.0500309
indication	0.0496675
purpose	0.0488827
backer	0.0484343
proponent	0.048132
wreath	0.0479762
agenda	0.0477546
beneficiary	0.047701
initiator	0.0474844
symbol	0.0472214
task	0.0472172
venue	0.0471719
topic	0.046427
gift	0.0456397
specific	0.0454067
framework	0.0453807
catalyst	0.045303
setting	0.045227
item	0.0447404
essential	0.0441491
"stumbling block"	0.0440846
reminder	0.0438796
organizer	0.0437177
phase	0.0436942
outcome	0.0434353
foundation	0.0434043
"nerve center"	0.0434005
enactment	0.043385
"good example"	0.0433509
essence	0.0430134
"building block"	0.0428931
biggest	0.0428673
alternative	0.0426986
decoration	0.0426659
beginning	0.0426521
worthy	0.0425709
celebration	0.0422332
unveiling	0.0421737
motto	0.0421166
landmark	0.0418753
backdrop	0.0418338
portion	0.0417556
jewel	0.0416979
premise	0.0415732
presentation	0.0413678
touchstone	0.0413557
conceit	0.0412656
completion	0.0411998
overhaul	0.04101
critique	0.0409537
prelude	0.0409453
accomplishment	0.0407264
magnet	0.0406243
concept	0.0406153
context	0.0406033
emblem	0.0404939
"work in progress"	0.0401576
))
(Centigrade (desc 2160.36) (sims
Celsius	0.391636
Fahrenheit	0.375198
warmer	0.171117
"about @@ degrees"	0.168639
"nearly $@@"	0.12168
longitude	0.0982022
cooler	0.0954738
latitude	0.0927926
F.	0.0904974
C.	0.0896739
warmest	0.0857833
"one meter"	0.0684452
minus-@@	0.0669465
"over @"	0.066778
m.p.h	0.0626775
"nearly @@ points"	0.061805
freezing	0.0598442
"one billion dollars"	0.0587564
"about @.@@ percent"	0.0583276
"close to @@"	0.050682
"about @@ points"	0.0505229
"more than @@ points"	0.0464691
mpg	0.046017
"trade area"	0.0459509
"miles per hour"	0.0459087
"over @@@ points"	0.0447938
"two percent"	0.0441274
"over @@@ million US dollars"	0.0422444
"final judgment"	0.0422407
"about @@@ points"	0.0415375
"one billion US dollars"	0.0414386
"kilometers per hour"	0.0409588
kph	0.0409483
"Gilded Age"	0.0408609
"almost $@@ billion"	0.0404738
))
(centimeter (desc 2203.72) (sims
millimeter	0.20446
half-inch	0.146161
"one inch"	0.111224
kilometre	0.109584
"four inches"	0.0981724
"about @ inches"	0.0938622
"square inch"	0.0881887
"square mile"	0.0854046
"one meter"	0.082229
"about @@ inches"	0.0779818
"hundred million dollars"	0.0754146
"three meters"	0.0718699
"about three percent"	0.0714275
"a few inches"	0.0698515
"three inches"	0.0690238
iota	0.0684972
"two meters"	0.0655785
hectare	0.0631432
"two inches"	0.0630523
"over one third"	0.0624732
gasket	0.0623317
"city block"	0.0613052
"about @,@@@ acres"	0.0606557
sq.km	0.0594887
"About @@,@@@ hectares"	0.0591304
sliver	0.058398
"more than @@ inches"	0.0582787
"hundred miles"	0.0576651
"five meters"	0.0571153
"mouse click"	0.0552634
"break of serve"	0.0550313
"a few million dollars"	0.054905
km	0.0545401
octave	0.0536357
"over @,@@@ hectares"	0.0535951
"seven percent"	0.0530974
fillip	0.0520874
recidivism	0.0517812
expedient	0.0516836
"another @.@ percent"	0.0508851
keystroke	0.0500746
"more than @@ yards"	0.0497803
"hundred yards"	0.0497743
"another @@.@ percent"	0.0496228
"hole in the ground"	0.049285
grating	0.0490699
"elbow room"	0.0484856
usurpation	0.0483773
"about @@@ acres"	0.0480261
"fig leaf"	0.0478541
C-section	0.0472268
"rest day"	0.0468453
"four percent"	0.0467122
"Human Immunodeficiency Virus"	0.0466135
"two percent"	0.0465432
"over two-thirds"	0.0463241
"about @@,@@@ acres"	0.0463227
palliative	0.0460216
major-leaguers	0.0458868
melting	0.0458122
SIDS	0.0451223
"more than @@@,@@@ acres"	0.0449403
hyphen	0.0447077
"six inches"	0.0436384
pfennig	0.0435401
freebies	0.0434569
"more than @@@,@@@ hectares"	0.0434027
vls	0.0432844
"hundred years"	0.0432836
"more than @,@@@ acres"	0.0430712
Campas	0.0429906
"thousand dollars"	0.042941
mammography	0.0429229
"six kilometers"	0.0428457
"more than @.@ percent"	0.0427933
"nearly @@ points"	0.0427035
homeownership	0.0425335
"one penny"	0.0424334
"about @@@,@@@ hectares"	0.0421939
"more than @@@ hectares"	0.0420718
"one mile"	0.0420421
"about @@@,@@@ acres"	0.0420244
cushioning	0.0420052
"square foot"	0.0417964
guidepost	0.0415799
"square meter"	0.0415637
"more than @,@@@ hectares"	0.0413686
speck	0.0409862
"over @@.@ percent"	0.0409
megabyte	0.0408608
"One hundred percent"	0.0407248
"million acres"	0.0407125
"pubic hair"	0.0407102
"Arctic Ocean"	0.0404166
byte	0.0402481
"value added tax"	0.0401799
calorie	0.0401556
thatch	0.0400863
))
(Centipede (desc 1366.34) (sims
tarantula	0.159533
scorpion	0.13119
spider	0.107926
Pong	0.0818492
viper	0.0768578
parakeet	0.0733126
serpent	0.0679184
cockroach	0.0676333
dragonfly	0.0667795
Thresher	0.0568999
"prairie dog"	0.0568481
hedgehog	0.0546262
TOMATOES	0.0545591
"lynch mob"	0.0544071
honeybee	0.0542533
Rattler	0.0533239
Roach	0.0529615
lovefest	0.0515825
gerbil	0.0514527
"bowling ball"	0.0506397
iguana	0.0503114
sinkhole	0.0498602
rhinoceros	0.0495019
cockatoo	0.0493941
sundial	0.0493766
"ice crystal"	0.0490727
sparkler	0.0481755
toad	0.0478942
omelette	0.0473551
kangaroo	0.047193
menorah	0.0468506
eel	0.0460918
Beehive	0.0460714
"Easter bunny"	0.0460548
automaton	0.0459707
hummingbird	0.0454642
ogre	0.0453243
maggot	0.0452757
"mouse click"	0.0448768
AC/DC	0.0446322
"Bengal tiger"	0.044341
"hole in the ground"	0.0438108
Gecko	0.0438075
doer	0.043605
Dostoyevsky	0.0435957
fishbowl	0.0435237
leech	0.0431108
pinata	0.043104
tortoise	0.0428742
boxcar	0.0428451
"jelly bean"	0.0427705
sloth	0.042631
"Darth Vader"	0.0425252
crapshoot	0.0423746
pinwheel	0.0422616
slob	0.0422541
flamethrower	0.0421903
gnat	0.0420116
cannonball	0.0419415
"letter carrier"	0.0418476
"police state"	0.0417572
"fire ant"	0.0414905
"pirate ship"	0.0413635
peacock	0.0412462
"Revolutionary Command Council"	0.0407986
"tree stump"	0.0406252
moth	0.0405435
"shower stall"	0.0402738
playpen	0.0402003
))
(central (desc 43176.8) (sims
"Eastern Europe"	0.119401
"Latin America"	0.0990616
"Southeast Asia"	0.0986771
Africa	0.0933334
"Western Europe"	0.091737
"European country"	0.0892267
Asia	0.0881989
"South America"	0.0846015
"Commonwealth of Independent States"	0.084082
"Asian country"	0.083871
"Central America"	0.0831427
"Middle East"	0.0822079
"East Asia"	0.082202
region	0.0801963
"Asian nation"	0.0798296
Europe	0.0786613
"African country"	0.0783246
China	0.0775249
east	0.0712017
province	0.0707717
"South Asia"	0.0686131
west	0.0686092
"North America"	0.0683762
"local government"	0.0681331
"West Africa"	0.0678619
"Central Europe"	0.0678316
Russia	0.0676946
"African nation"	0.0675438
"European Union"	0.0663213
"Central Asia"	0.0660737
"European nation"	0.0659623
Northeast	0.0655925
north	0.0643227
EU	0.0641876
"Far East"	0.0636175
"North Africa"	0.0634243
"member country"	0.0630909
"Central American country"	0.062298
Caribbean	0.0622668
nation	0.0618949
south	0.0618816
Oceania	0.0616125
Poland	0.0614665
"Association of Southeast Asian Nations"	0.0611979
"United States"	0.0611385
Bangladesh	0.0602011
Japan	0.0598804
bloc	0.0598192
Mexico	0.0595343
Mozambique	0.0595049
mainland	0.0590456
ministry	0.0586986
"Latin American"	0.0581971
India	0.0581787
Eastern	0.0581367
Honduras	0.0580205
"South Africa"	0.0580146
Tanzania	0.0579045
district	0.0570178
sector	0.0568179
"Central Government"	0.0564116
Turkey	0.0562519
"Pacific Rim"	0.0560412
African	0.0560067
"Soviet Union"	0.055942
Egypt	0.0558981
continent	0.0558558
Thailand	0.0556165
"Southern African Development Community"	0.0555932
Republic	0.0555845
southeast	0.0555548
Caucasus	0.0554157
Asian	0.0552686
Hungary	0.0552036
Ethiopia	0.0548875
department	0.054817
western	0.0545972
Midwest	0.0545463
Kenya	0.0544343
Britain	0.0541336
Australia	0.0538507
"Pacific Northwest"	0.0538465
"rural area"	0.0538389
"Balkan country"	0.0537228
"Central Africa"	0.0536219
"South American country"	0.0535892
county	0.0535237
Colombia	0.0535116
Bulgaria	0.0534982
ASEAN	0.0534469
Fujian	0.0533994
Cyprus	0.0533929
Angola	0.0533744
Canada	0.0531891
Myanmar	0.0529852
"South Korea"	0.0529276
Guangdong	0.0528222
Malaysia	0.0527406
Taiwan	0.0525622
key	0.0524897
Asia-Pacific	0.0524269
"Hong Kong"	0.0523641
southwest	0.0521818
"Saudi Arabia"	0.0521625
"Gulf Cooperation Council"	0.0521611
Iran	0.0520611
U.S.	0.0519531
Cuba	0.051914
Indonesia	0.0516082
Peru	0.0515972
Gulf	0.0515454
Mongolia	0.0514482
Ukraine	0.0513603
Argentina	0.0512407
locality	0.0511668
"municipal government"	0.0511192
northwest	0.0510486
Mediterranean	0.0510424
Romania	0.0510407
Brazil	0.0509949
"Southern Africa"	0.0508705
"United Kingdom"	0.050704
Somalia	0.0505787
Philippines	0.0505737
Qinghai	0.0505664
Pakistan	0.050467
Zambia	0.050099
Cambodia	0.0500795
"Tibet Autonomous Region"	0.0498191
Iraq	0.0498176
Uganda	0.0498074
Albania	0.0494758
DPRK	0.0492096
Israel	0.0490844
"World Bank"	0.0490528
Shanghai	0.0490254
Algeria	0.049
Anhui	0.0488815
Venezuela	0.0487592
"South Pacific"	0.048643
agency	0.048597
"Inner Mongolia"	0.0484301
municipality	0.0483115
Nigeria	0.0482619
"international organization"	0.0482464
Burundi	0.0480072
Hunan	0.0478137
Kazakhstan	0.0477133
Sichuan	0.0475586
"New Zealand"	0.0474842
enterprise	0.0474757
Mideast	0.047398
Botswana	0.0473713
Vietnam	0.0473059
European	0.0472793
"Republic of Korea"	0.0471791
"Group of Seven"	0.0471272
prefecture	0.0469104
Estonia	0.0467281
Germany	0.0467078
Balkans	0.0466426
"Persian Gulf"	0.0466359
"Guangdong Province"	0.046564
"federal government"	0.0463759
Zimbabwe	0.0463755
Guizhou	0.0463495
France	0.0463237
"Third World"	0.0463048
California	0.046197
Guangxi	0.0461064
Tibet	0.0459778
"Organization of Petroleum Exporting Countries"	0.0459573
Lebanon	0.0459532
Xinjiang	0.0458812
Yugoslavia	0.0458693
"U.N. agencies"	0.0458244
"financial institution"	0.045739
Haiti	0.0456477
"central bank"	0.0456415
"North Atlantic Treaty Organization"	0.0454959
subcontinent	0.0454614
Jiangxi	0.0453405
hemisphere	0.0452788
"Central American"	0.0452164
Switzerland	0.0451259
NATO	0.0451063
corporation	0.0450978
Italy	0.0450405
Shaanxi	0.044973
IMF	0.0449272
"Hunan Province"	0.0448948
Hubei	0.0448801
Sudan	0.0448709
institution	0.0448018
"United Nations"	0.0447594
Guatemala	0.0447098
Ghana	0.0446919
Zaire	0.0445475
"Qinghai Province"	0.0444802
BEIJING	0.044432
))
("Central Africa" (desc 4683.6) (sims
"Central African Republic"	0.140065
"Guinea Bissau"	0.1311
"Great Lakes Region"	0.123178
Comoros	0.119597
Niger	0.110638
Congo	0.108114
DRC	0.105962
Caucasus	0.10531
"Democratic Congo"	0.102304
Mali	0.0996455
Somalia	0.097994
"Equatorial Guinea"	0.0979873
Benin	0.0966751
Gabon	0.0964987
Zaire	0.0961503
Burundi	0.0960201
"Democratic Republic of Congo"	0.095789
"Sierra Leone"	0.0905315
"Southern Africa"	0.0899712
Cameroun	0.0894409
"Democratic Republic of the Congo"	0.0889392
"Persian Gulf"	0.0880174
Chad	0.0869945
"Cape Verde"	0.0864671
"Republic of Congo"	0.0844697
"Northeast Asia"	0.0837164
Kyrgyzstan	0.0833828
Namibia	0.0829117
Madagascar	0.0827164
"West Asia"	0.0824953
Liberia	0.0813321
"East Asia"	0.0794683
Sudan	0.0791164
Angola	0.0779468
Balkans	0.0773279
Surinam	0.0766067
Tajikistan	0.0765641
"West Africa"	0.0752935
Mauritius	0.0750638
"African nation"	0.0740811
Guinea-Bissau	0.0730965
"South Asia"	0.0728831
Malawi	0.0724678
Algeria	0.0724024
"Southeast Asia"	0.0723293
Senegal	0.0711699
"East Timor"	0.0710464
"Democratic Republic"	0.070327
Gambia	0.0702504
"Burkina Faso"	0.0696962
Ethiopia	0.0695356
Lesotho	0.0694734
Mauritania	0.069329
Ghana	0.0692584
Djibouti	0.0681632
Cameroon	0.0675385
Abkhazia	0.0670787
Mozambique	0.0668635
Bosnia-Herzegovina	0.066798
"Sao Tome and Principe"	0.0663939
Yemen	0.0654108
"South East Asia"	0.0647086
Haiti	0.0644478
Tunisia	0.0642058
Asia-Pacific	0.0641732
"Central Asia"	0.063594
Moldova	0.0632864
Bangui	0.063233
Guinea	0.0631413
"Congo Republic"	0.0623531
Nagorno-Karabakh	0.0622006
"East Africa"	0.061904
PNG	0.0605274
Burma	0.0603909
"Asia-Pacific Region"	0.0602267
Togo	0.0600821
Kiribati	0.0596633
sub-region	0.0596247
"Asian nation"	0.0592468
Mideast	0.059178
Tadzhikistan	0.0590344
Zanzibar	0.0577667
"Western Sahara"	0.0561798
"South Lebanon"	0.0559389
Somaliland	0.0551454
Botswana	0.055122
"Pacific Rim"	0.0550693
"Central America"	0.0546466
Eritrea	0.0542378
"Central Europe"	0.05416
"Eastern Europe"	0.0540242
"North Caucasus"	0.0534995
"Sub-Saharan Africa"	0.0534497
Armenia	0.0530273
Mongolia	0.052794
Alsace	0.0526737
Ingushetia	0.0525925
"South Pacific"	0.0522918
Daghestan	0.0522784
Kargil	0.0520237
"Asia Pacific"	0.0516093
"Niger Delta"	0.0514154
Vanuatu	0.0510767
Kigoma	0.050989
Seychelles	0.0509827
"Ivory Coast"	0.0506867
"Muslim Mindanao"	0.0506366
"Balkan state"	0.0503134
"West Timor"	0.05015
"Commonwealth of Independent States"	0.050034
Bissau	0.0498276
Dagestan	0.0497831
Palau	0.0497786
Kirghizstan	0.0495762
"South America"	0.0495266
"South Vietnam"	0.0489465
Mediterranean	0.0488682
Mindanao	0.0483078
Brazzaville	0.0478699
USSR	0.0478061
Nicaragua	0.0477608
Bolivia	0.0477075
Montenegro	0.0477041
ROK	0.0475224
KwaZulu/Natal	0.0474041
Caprivi	0.0473653
Anjouan	0.0468211
Krasnoyarsk	0.0467483
"North Ossetia"	0.0466691
Balkan	0.0464551
Decani	0.0463918
Kalimantan	0.0457985
"D.R Congo"	0.0457805
Ivoire	0.0454006
Uzbekistan	0.0450868
Maluku	0.0449272
"Russian Federation"	0.0441196
Laos	0.043943
"Inner Mongolia"	0.0438683
Palestine	0.0437605
"East Germany"	0.0435414
Windhoek	0.0434897
Gaborone	0.0432582
"KCP&AMP;L"	0.0432388
Yunnan	0.0431892
Oman	0.0430092
Slovenia	0.0429992
Chiapas	0.0429952
"Balkan country"	0.0429852
"western hemisphere"	0.0427649
"Far East"	0.0426941
"Taiwan Strait"	0.0424216
"Southern African Development Community"	0.0424156
Honduras	0.0418851
Jezzine	0.0417856
"Papua New Guinea"	0.0417215
"West Germany"	0.0416908
"Federal Republic"	0.0415325
Kaliningrad	0.0413234
"combat zone"	0.0411953
UNIDO	0.0408664
Atambua	0.0405973
"North Africa"	0.0405932
subcontinent	0.0405869
Khabarovsk	0.040491
Aceh	0.0402381
Siberia	0.0401888
))
("Central African Republic" (desc 9363.45) (sims
"Sao Tome and Principe"	0.242188
Gabon	0.233586
Chad	0.22217
"Guinea Bissau"	0.220581
Comoros	0.218871
"Republic of Congo"	0.214744
Niger	0.207585
Mali	0.201123
"Equatorial Guinea"	0.196104
Benin	0.192127
"Burkina Faso"	0.190302
Togo	0.190265
Guinea-Bissau	0.188492
Gambia	0.184979
"Cape Verde"	0.183229
Senegal	0.183121
Seychelles	0.176321
Cameroun	0.171314
Madagascar	0.170208
"Ivory Coast"	0.167982
Guinea	0.167434
Burundi	0.164661
Congo	0.163821
Mauritania	0.161221
Angola	0.159996
Liberia	0.159189
Djibouti	0.157289
"Sierra Leone"	0.156509
Zaire	0.154606
Mozambique	0.152843
Ghana	0.152815
"Democratic Republic of the Congo"	0.143226
Malawi	0.142776
"Democratic Republic"	0.141938
Somalia	0.141089
Namibia	0.140353
"Central Africa"	0.140065
Mauritius	0.139709
Cameroon	0.138831
Lesotho	0.138591
"Democratic Republic of Congo"	0.13854
"Democratic Congo"	0.138399
Botswana	0.137453
Sudan	0.135839
Rwanda	0.125453
Ethiopia	0.122824
Nigeria	0.120501
"Congo Republic"	0.119616
Tunisia	0.115098
Algeria	0.114466
Uganda	0.114175
Zimbabwe	0.110511
Tajikistan	0.108033
"Western Sahara"	0.107702
Zambia	0.107171
Swaziland	0.106691
DRC	0.106176
Kenya	0.104178
Tanzania	0.102323
Eritrea	0.0976585
Yemen	0.0974981
Cambodia	0.0927859
Guyana	0.0926766
Haiti	0.0921001
"African country"	0.089942
"Papua New Guinea"	0.087715
Libya	0.086232
"East Timor"	0.0861091
Burma	0.086075
"African nation"	0.0839428
Laos	0.083886
Bosnia-Herzegovina	0.0838632
Morocco	0.0830348
"South Africa"	0.0828499
Guatemala	0.0820104
Bangui	0.0789332
Afghanistan	0.0779049
Nicaragua	0.0773162
"El Salvador"	0.0771816
"Balkan country"	0.0760764
Surinam	0.0751163
"Sri Lanka"	0.0738101
Bosnia	0.0724194
Moldova	0.0721137
"D.R Congo"	0.0719028
Republic	0.0718453
Dominica	0.0705799
Mongolia	0.0704243
Kyrgyzstan	0.0699436
Egypt	0.0698957
Brazzaville	0.0695255
Albania	0.0683967
Ecuador	0.0678776
"Great Lakes Region"	0.0673608
Armenia	0.0670716
Latvia	0.06694
"South Vietnam"	0.0668715
Suriname	0.06668
Malta	0.0659467
"Federal Republic"	0.0655645
Lebanon	0.0655431
Cyprus	0.0655159
"Costa Rica"	0.0653071
Colombia	0.0652116
Azerbaijan	0.064583
"Dominican Republic"	0.0644942
Panama	0.0642095
Iceland	0.0641937
Bangladesh	0.0640194
"South American country"	0.0637724
"Balkan nation"	0.0634875
Macedonia	0.0623156
"Northern Ireland"	0.0612816
Peru	0.0602662
Honduras	0.0601964
Bahrain	0.0600411
Portugal	0.0599481
Hungary	0.0597886
Kuwait	0.059755
"Saudi Arabia"	0.0593113
Ukraine	0.0591469
Maldives	0.0584275
Philippines	0.0583762
"Bosnian Serb Republic"	0.0582501
Belarus	0.0580437
Ivoire	0.0571242
Zanzibar	0.0570605
Kingdom	0.0569749
"Solomon Islands"	0.0564708
Bolivia	0.0564622
Uzbekistan	0.0564276
Montenegro	0.0564158
Suva	0.0560612
"Asian nation"	0.0560516
Venezuela	0.0560036
Oman	0.0559906
Lithuania	0.0558673
Bulgaria	0.0557702
Kinshasa	0.0557211
"Republika Srpska"	0.0555599
"South Lebanon"	0.0555173
Turkmenistan	0.0553712
Chile	0.0552609
Poland	0.0551873
Caucasus	0.0544289
Fiji	0.0544191
Jamaica	0.0541981
"Balkan state"	0.0541869
Slovenia	0.0541355
Croatia	0.0540814
Nepal	0.0539859
Qatar	0.0535999
"Central American country"	0.0535275
"United Arab Emirates"	0.0534731
Libreville	0.0533166
Austria	0.0531642
Korea	0.0530944
"Cook Islands"	0.0529988
Finland	0.0529963
Syria	0.0527856
Uruguay	0.0521079
"United States of America"	0.0516239
"Trinidad and Tobago"	0.0514754
Ireland	0.0512976
Bujumbura	0.0512695
Kazakhstan	0.0511543
"Economic Community of West African States"	0.0510438
Brunei	0.0509939
Guam	0.0509617
"West Timor"	0.0509543
Romania	0.0507421
Anjouan	0.0507325
"East Asia"	0.0506198
Estonia	0.0505704
Barbados	0.0504235
Balkans	0.0502975
Ulster	0.0502828
"Yugoslav Republic"	0.0500225
Montserrat	0.0494976
Kirghizstan	0.0493896
Dagestan	0.0493796
Belgium	0.0489927
Paraguay	0.0488401
Belize	0.0488299
Asmara	0.0487049
Mindanao	0.0485805
sub-region	0.0484203
KwaZulu/Natal	0.0481552
Bahamas	0.0480388
"United Republic of Tanzania"	0.0480117
PNG	0.0479702
Timor	0.0478205
"Cayman Islands"	0.0477464
"New Caledonia"	0.0477001
CHT	0.0471108
"Persian Gulf"	0.0469573
Somali	0.0468697
"Viet Nam"	0.0467406
"Central Mindanao"	0.0466971
Kisangani	0.0466273
))
("Central America" (desc 28872.3) (sims
Honduras	0.184697
"Latin America"	0.162849
Nicaragua	0.155923
"Central American country"	0.154985
"South America"	0.15104
Africa	0.147124
"Southeast Asia"	0.143398
"Eastern Europe"	0.141359
"El Salvador"	0.130056
Colombia	0.129176
Caribbean	0.128247
Asia	0.127789
"Middle East"	0.126963
Guatemala	0.125385
"Western Europe"	0.120117
"West Africa"	0.119672
"East Asia"	0.119563
Mozambique	0.118542
"Dominican Republic"	0.118336
Europe	0.116465
"South American country"	0.111328
"South Asia"	0.111204
region	0.108261
Haiti	0.108054
Peru	0.107584
Mexico	0.106631
"North America"	0.106617
Ecuador	0.102096
"African country"	0.101786
"Far East"	0.101746
"Costa Rica"	0.101386
Balkans	0.100383
"Asian nation"	0.100294
Somalia	0.0998776
"Central Asia"	0.0966614
"North Africa"	0.0945506
"Asian country"	0.0940283
Venezuela	0.0928531
Bangladesh	0.0911252
Afghanistan	0.0907295
Algeria	0.0899249
Cuba	0.0898966
"Puerto Rico"	0.0898764
"African nation"	0.0886986
China	0.0886004
Cambodia	0.0884387
Oceania	0.088001
Philippines	0.0879837
Chile	0.0879359
Panama	0.087574
Midwest	0.087106
Bosnia	0.0870459
"Sierra Leone"	0.0869074
"Persian Gulf"	0.0861496
Bolivia	0.0861088
"South Africa"	0.0859227
"South Pacific"	0.0857208
Argentina	0.0856087
Indonesia	0.0852064
continent	0.0851125
Canada	0.0848881
Sudan	0.0845167
Angola	0.0843418
Chiapas	0.0842093
"Central American"	0.0835722
Tanzania	0.0834476
"East Europe"	0.0833825
Vietnam	0.0832396
central	0.0831427
Egypt	0.083122
"Sri Lanka"	0.082566
Russia	0.0825568
Albania	0.0824759
India	0.0822854
"Central American nation"	0.082078
Jamaica	0.0819171
"East Africa"	0.0818827
Kenya	0.0812448
Yugoslavia	0.0808411
hemisphere	0.0802854
Kosovo	0.0791755
"European country"	0.0791537
Mediterranean	0.0790612
Brazil	0.0785239
Lebanon	0.0782038
Yemen	0.0781806
Turkey	0.0778747
Uruguay	0.0778393
Liberia	0.0775852
Nepal	0.0775666
subcontinent	0.077429
Bahamas	0.0771446
Ukraine	0.0768987
Poland	0.0767655
Bosnia-Herzegovina	0.0765948
"United States"	0.0764752
Mideast	0.0764704
"Balkan country"	0.0764528
Ethiopia	0.076441
Zaire	0.0762296
"East Timor"	0.0761279
"Saudi Arabia"	0.0756871
"Papua New Guinea"	0.075603
Congo	0.0755268
Caucasus	0.075524
Thailand	0.0752896
Japan	0.0750635
province	0.0749282
Taiwan	0.0746294
"West Asia"	0.0744639
Guyana	0.0742962
"Third World"	0.074235
Laos	0.0741325
Mongolia	0.0739241
Gulf	0.0738886
Iraq	0.0733255
"Commonwealth of Independent States"	0.0732076
Uganda	0.0731128
"Central Europe"	0.0725393
"North Korea"	0.0721454
DPRK	0.0721275
mainland	0.071903
"Northern Ireland"	0.0715848
Nigeria	0.0714641
Zimbabwe	0.071318
Zambia	0.0710481
"New Zealand"	0.0709467
Korea	0.0708233
Romania	0.0705701
"South Korea"	0.0705136
Alaska	0.0704467
Chechnya	0.070092
Burundi	0.0699393
Tibet	0.069812
Iran	0.0696768
Malaysia	0.0696371
Mercosur	0.0694944
"United Kingdom"	0.0694868
Armenia	0.069455
Bulgaria	0.069401
Greece	0.0692217
"Pacific Rim"	0.0690953
Macedonia	0.0687727
Rwanda	0.0687273
Myanmar	0.068479
pacific	0.0683841
Australia	0.0682978
"Andean Community"	0.0681784
"South Florida"	0.0681365
Serbia	0.068011
"Soviet Union"	0.0678306
Republic	0.0675589
Hungary	0.0674308
"Asia Pacific"	0.0672233
Belize	0.0663749
Pakistan	0.0663345
California	0.0663217
Asia-Pacific	0.066252
Scandinavia	0.0662448
America	0.0652771
"Republic of Korea"	0.065214
France	0.0651753
Germany	0.0650433
"Southern Africa"	0.0646924
Italy	0.0638544
Spain	0.0637891
Ireland	0.0637558
Yunnan	0.0636857
"Hong Kong"	0.0633643
Cyprus	0.0633459
Britain	0.0632805
Ghana	0.0632569
Mindanao	0.0631781
"European Union"	0.0623195
DRC	0.0623062
island	0.0622074
Tajikistan	0.0619954
south	0.0618126
Kingdom	0.0613799
ROK	0.0613634
"rural area"	0.0611313
Mali	0.0609142
Namibia	0.0608111
Israel	0.0606756
Guinea-Bissau	0.0605623
Barbados	0.0601746
"North Carolina"	0.0601495
Kuwait	0.0599214
Palestine	0.0598877
"western hemisphere"	0.0597817
Indochina	0.0597782
"South American Common Market"	0.059752
countryside	0.0596929
Hawaii	0.0595771
Madagascar	0.0595477
EU	0.0595235
Burma	0.0594413
Kazakhstan	0.0591457
Croatia	0.0587835
Switzerland	0.0585767
))
("Central American" (desc 8325.17) (sims
"Latin American"	0.183548
Nicaraguan	0.157788
"South American"	0.132547
"South Asian"	0.130956
"Eastern European"	0.12837
"Costa Rican"	0.126827
"Central Asian"	0.12122
"Southeast Asian"	0.120502
"North African"	0.117816
Honduran	0.116004
Baltic	0.111911
Ecuadoran	0.110429
Balkan	0.108185
"East Asian"	0.103036
Belarusian	0.101987
Haitian	0.0998638
Guatemalan	0.099744
"Middle Eastern"	0.0956294
Arab	0.0942853
Salvadoran	0.0925587
Ecuadorean	0.0909753
"South Korean"	0.0904386
Caribbean	0.0903588
"East European"	0.0894894
migrant	0.0887982
Latvian	0.0880819
illegals	0.0873883
Asian	0.0863526
"Sri Lankan"	0.0858868
"Central American country"	0.0852916
"Sierra Leonean"	0.0852808
"Western European"	0.0851668
"Interamerican Development Bank"	0.0846179
Ukrainian	0.0841128
Moldovan	0.0837793
"Central America"	0.0835722
"West African"	0.0828035
Liberian	0.08272
Mexican	0.0826649
Turkmen	0.0808179
"West Indian"	0.0803677
Azerbaijani	0.080231
Khmer	0.0793541
Ingush	0.0792569
Lithuanian	0.0788846
Kazakh	0.0787723
African	0.0780595
non-Jewish	0.0780461
"East African"	0.0779983
immigrant	0.077632
"South African"	0.0765659
Hmong	0.0759862
"Sri Lankans"	0.0759441
Belarussian	0.0758657
Ethiopian	0.0757531
Filipino	0.0755183
Mozambican	0.0752021
"North American"	0.0748014
Ukrainians	0.0734271
Koreans	0.0733755
Beijingers	0.0731073
mainlanders	0.0730573
"Puerto Rican"	0.0729412
Afghan	0.0721301
Sudanese	0.0716965
"Central American nation"	0.0712336
Slovak	0.0712091
Tajik	0.0711827
Kurdish	0.0709601
Turkish	0.070798
Swedish	0.0706527
Somali	0.07039
Kosovar	0.0702312
Bangladeshi	0.0702046
Ukranian	0.0701572
"North Korean"	0.0700512
Colombian	0.0697854
Armenian	0.0690478
Kazak	0.0686394
Eritrean	0.0686214
Cuban	0.0685169
GCC	0.0683111
Azeri	0.0677062
"South American country"	0.0673614
evacuee	0.0672837
"Third World"	0.0672614
ACP	0.0671879
"Asian nation"	0.0666302
Korean	0.0665292
G-@	0.0663636
Acadian	0.0663166
Irish	0.0662553
Slavic	0.0658442
SADC	0.0652413
"Russian Jews"	0.0651781
G-@@	0.0651148
"Organization of American States"	0.0650356
Uzbek	0.0646274
"Group of Rio"	0.0645875
"East Timorese"	0.0641495
Kurds	0.064094
Angolan	0.0638746
noncitizens	0.0637178
Montenegrin	0.0636178
"Turkish Cypriot"	0.0635934
emigrant	0.0632597
Estonian	0.0632586
"Rio Group"	0.0631553
"North Koreans"	0.0627467
Maltese	0.0626982
Chinese-Indonesians	0.0626413
"Kosovo Albanians"	0.0624602
"foster child"	0.0624486
"Kosovo Serbs"	0.0622592
Venezuelan	0.0620178
"Iraqi Kurds"	0.0620125
Danish	0.0618938
Dominican	0.0617546
"East German"	0.0615079
"San Franciscans"	0.061498
Moroccan	0.0614569
COMESA	0.0611588
"Joint Liaison Group"	0.0609467
Zairian	0.0608052
Amazonian	0.0607045
Finnish	0.0599298
"Pacific Rim"	0.0598934
"farm worker"	0.0598016
Greek	0.0595334
Botswanan	0.059495
"South Pacific Forum"	0.0593266
ASEAN	0.0593111
crossers	0.0590831
Gypsy	0.0589007
eco	0.0588922
Rwandese	0.0588136
"Kosovar Albanians"	0.0585998
Zimbabwean	0.0585638
Mexican-Americans	0.0584383
"Inter-American Development Bank"	0.0582844
"drug user"	0.0582076
"European nation"	0.058177
"Saudi Arabian"	0.0580082
"Caribbean Community"	0.0580071
Tutsi	0.0579302
Mercosur	0.057899
"Group of Seven"	0.0575847
"small farmer"	0.0575429
low-income	0.0574102
pan-Arab	0.0573917
LDCS	0.0571807
sub-regional	0.057122
Portuguese	0.0570258
"drug addict"	0.0569833
G@	0.0569745
Mideast	0.0568596
"Kosovar Albanian"	0.0567616
"Asia Pacific"	0.0566344
Bosnians	0.0564392
seeker	0.0564206
"South Koreans"	0.0563685
asylum-seekers	0.0563389
Kurd	0.0562769
"skilled worker"	0.0561305
Soviet	0.0560743
Ci	0.0559553
"Iraqi POWs"	0.055885
Iranian	0.0558755
"Gulf Cooperation Council"	0.0558625
Philippine	0.055686
"Balkan country"	0.0555893
"European country"	0.0555875
Berber	0.055448
SAARC	0.0553875
laborer	0.0553548
holidaymaker	0.0553358
"heroin addict"	0.055131
Kyrgyz	0.0549337
"Sephardic Jews"	0.0546936
ASEM	0.0546849
Muslim	0.0546541
Chechens	0.0546487
"Irish Catholic"	0.0545685
Cuban-Americans	0.0543706
Burundian	0.0543701
peasant	0.0543688
job-seekers	0.0542729
"more than @@@"	0.0542364
alien	0.0540814
"Iranian POWs"	0.053946
"drug trafficker"	0.0538926
"American Indian"	0.0538191
"almost @@@,@@@"	0.0537966
Chilean	0.0537461
"temporary worker"	0.0536594
BASQUE	0.0535545
Stalinist	0.0534523
claimant	0.0533799
Hungarian	0.0532929
Icelandic	0.0532349
))
("Central American country" (desc 11130.7) (sims
"Central American nation"	0.248098
"South American country"	0.182517
Nicaragua	0.160614
"Asian nation"	0.157369
"Central America"	0.154985
"El Salvador"	0.150068
"Balkan country"	0.144955
Honduras	0.144753
Guatemala	0.143727
"Costa Rica"	0.143155
"African country"	0.139387
"African nation"	0.136815
Panama	0.134705
"Asian country"	0.131033
Ecuador	0.126063
"Dominican Republic"	0.125664
Peru	0.125603
Belize	0.123796
Colombia	0.122495
Bolivia	0.118469
"European country"	0.113594
Venezuela	0.11309
"Balkan nation"	0.113075
"member country"	0.110604
Haiti	0.108971
"Rio Group"	0.106676
"South American nation"	0.105471
Mozambique	0.10536
"European nation"	0.103496
Uruguay	0.10092
Argentina	0.100756
"member nation"	0.0980809
Mexico	0.0970495
"Association of Southeast Asian Nations"	0.0968625
Guyana	0.0964805
Paraguay	0.0962641
Mercosur	0.0958278
Algeria	0.0956273
Tanzania	0.0950141
Bangladesh	0.0947209
Angola	0.094605
Cambodia	0.0940643
Kenya	0.0920643
Philippines	0.0919099
Indonesia	0.0917081
Zambia	0.0915755
Bosnia-Herzegovina	0.0913557
Bulgaria	0.0903818
Ukraine	0.0902773
"Democratic People's Republic of Korea"	0.0898518
"South Africa"	0.0895136
"Saudi Arabia"	0.0894441
Yemen	0.089061
Uganda	0.0887875
"Sri Lanka"	0.0886691
Chile	0.0884597
Botswana	0.0882748
"Papua New Guinea"	0.0872303
Egypt	0.0864768
"Southern Common Market"	0.0862095
Albania	0.0855232
"Central American"	0.0852916
Kyrgyzstan	0.0845811
Oman	0.084546
"Group of Seven"	0.0844921
Nigeria	0.084351
"Andean Community"	0.0841695
Republic	0.0835243
Armenia	0.0834412
"Balkan state"	0.0834355
Mongolia	0.0820235
Thailand	0.0819338
Africa	0.0815359
Ghana	0.0814713
"Trinidad and Tobago"	0.0813031
Ethiopia	0.0809916
Brunei	0.0809553
Laos	0.0809092
Bahamas	0.080723
Jamaica	0.0804951
Sudan	0.0803532
Romania	0.0799607
"Group of Eight"	0.07957
Namibia	0.0795356
"Latin American"	0.0794901
Tajikistan	0.0793191
Kazakhstan	0.0792774
"Gulf Cooperation Council"	0.0792711
"Sierra Leone"	0.078394
Koreas	0.0783695
"Latin America"	0.0783615
"South Korea"	0.0782886
Zimbabwe	0.0780325
"Republic of Korea"	0.0780163
Hungary	0.0777556
Malawi	0.0771269
Malaysia	0.0770875
"United Kingdom"	0.076727
Vietnam	0.0766122
Brazil	0.0765564
Canada	0.0764567
Nepal	0.0764433
Salvador	0.0758055
"Caribbean Community"	0.0757406
"Southern African Development Community"	0.0754175
"South American Common Market"	0.075173
Cuba	0.0751415
"East Asia"	0.0748792
"South Asian Association for Regional Cooperation"	0.0748103
Portugal	0.0735717
Pakistan	0.0734691
Turkey	0.0734358
Qatar	0.073294
continent	0.0731199
"Commonwealth of Independent States"	0.0728445
Iran	0.0727336
"European Union"	0.0723441
Mali	0.0722952
Lebanon	0.0722431
Cyprus	0.071963
Antigua	0.071758
"Democratic Republic"	0.0715558
Estonia	0.0714172
Switzerland	0.0711876
Kingdom	0.070926
ASEAN	0.0708671
Burundi	0.0708154
Myanmar	0.0707466
Liberia	0.0706919
Belarus	0.0706293
Poland	0.0703425
DPRK	0.070176
Somalia	0.0701737
Zaire	0.0699433
Iceland	0.0699157
Taiwan	0.0698329
Uzbekistan	0.0697659
"major-league team"	0.0697337
"Puerto Rico"	0.069668
"United Arab Emirates"	0.0693706
Malta	0.069098
Afghanistan	0.069012
"North Korea"	0.0687228
prefecture	0.06821
"New Zealand"	0.0681443
"Democratic Republic of the Congo"	0.0678594
Dominica	0.0676375
ROK	0.0676176
"Organization of American States"	0.0670645
Suriname	0.0667902
"Southeast Asia"	0.0667897
Greece	0.0667648
EU	0.065961
African	0.0659099
DRC	0.0658697
Norway	0.0657168
Congo	0.065479
Macedonia	0.0654393
Rwanda	0.0654267
Gabon	0.0653975
Togo	0.0653952
Italy	0.0648913
"Economic Community"	0.0648372
"Scandinavian country"	0.0644393
"Group of Rio"	0.0642136
Kuwait	0.063977
Bosnia	0.0636415
Luxembourg	0.0636167
Azerbaijan	0.0635403
Asian	0.0634979
Moldova	0.0634169
Spain	0.0633892
Macao	0.0632629
"Democratic Republic of Congo"	0.0628831
Montenegro	0.0628661
"Russian Federation"	0.0626955
"Federal Republic"	0.062693
"South America"	0.0625294
"Organization of Petroleum Exporting Countries"	0.0623206
"Organization of Islamic Conference"	0.0622966
Caribbean	0.0622186
Korea	0.0621428
Benin	0.0621218
Singapore	0.0619732
Yugoslavia	0.0617475
Fujian	0.061554
Austria	0.0614237
"East Timor"	0.0613102
needy	0.0612348
Slovenia	0.060796
locality	0.0607669
"major power"	0.0607501
Tunisia	0.0606938
PNG	0.0605365
colony	0.0600714
"European Community"	0.059959
Syria	0.0596718
mainland	0.0595687
Belgium	0.0595473
Finland	0.0595037
))
("Central American nation" (desc 2035.72) (sims
"Central American country"	0.248098
"South American nation"	0.123019
"South American country"	0.121001
"Asian nation"	0.0924432
"African nation"	0.0852718
"Balkan country"	0.0848062
"Balkan nation"	0.0831487
"Central America"	0.082078
Nicaragua	0.0792332
"major-league team"	0.0776799
"El Salvador"	0.0748983
"Central American"	0.0712336
"Florida Keys"	0.0709758
"altar boy"	0.0704494
crewmembers	0.0690774
no-decisions	0.0690605
Belize	0.06905
"Balkan state"	0.0681106
"Scandinavian country"	0.0669851
"Costa Rica"	0.0666875
"South American Common Market"	0.0662724
"European nation"	0.0643047
"All-Star Games"	0.0639797
"Dominican Republic"	0.0635993
Honduras	0.0634585
"Netherlands Antilles"	0.0625682
"Ryder Cups"	0.0612196
"Final Fours"	0.0597474
quarterfinalists	0.0597358
Paraguay	0.0595918
"British Opens"	0.05958
SEZs	0.0588788
great-grandchildren	0.0587718
"Democratic Congo"	0.0575039
QBs	0.0569298
"Cy Young Awards"	0.0558511
sherpas	0.0557275
"Pro Bowls"	0.0556748
"Southern Common Market"	0.0550185
"Texas Democrats"	0.0549771
Pillars	0.0547091
"Baby Bells"	0.0545483
"Special Economic Zones"	0.0544294
borough	0.0541458
"Bosnian Serb Republic"	0.0538501
"target area"	0.0537825
starts.	0.0530218
spacewalks	0.0521526
"major power"	0.0520302
bogy	0.0508841
Micronesia	0.050809
around-the-clock	0.0505426
molar	0.0504139
"International Brotherhood"	0.0501643
"Allied Pilots Association"	0.0500993
"No. @s"	0.0500428
stepchildren	0.049611
lawmen	0.0493143
"Israeli Arabs"	0.0492133
meatpackers	0.048778
Dutchmen	0.0486835
Klansmen	0.0486708
Isthmus	0.04855
Gunmakers	0.0483764
Sultanate	0.0481762
years.	0.0479834
par-@s	0.0475023
"Group of Seven"	0.0472706
wideouts	0.047158
"Fernando Henrique Cardoso"	0.0471476
Salvador	0.0468743
subgroup	0.0465306
"space walk"	0.0464584
"U.S. Opens"	0.0464316
metropolitan	0.0463265
"paper cup"	0.0463061
guardsmen	0.0462933
takeaways	0.0462714
"Radical Party"	0.0461724
co-defendants	0.0457706
"Carlos Menem"	0.0456499
"Stanley Cups"	0.0456374
"U.S. Virgin Islands"	0.04555
center-right	0.045248
musketeer	0.0451705
"work group"	0.0449218
Concordes	0.0447072
Antigua	0.0444199
"Republic of Ireland"	0.0444107
paraplegic	0.0441665
"base runner"	0.0441307
"Trinidad and Tobago"	0.0441242
"retail operation"	0.0440041
chaebol	0.0439212
governorates	0.0438629
friendlies	0.0437379
"child welfare agency"	0.0434983
Americas	0.043404
"Free Democratic Party"	0.0432975
principality	0.0432408
"Andean Community"	0.0432217
major-leaguers	0.0431606
"air bubble"	0.0430697
"day of rest"	0.0430253
colonias	0.0429767
"city state"	0.042809
"thermonuclear warhead"	0.0427988
"Papua New Guinea"	0.0427378
Meston	0.0425031
"flight of stairs"	0.0423988
"Bank Bali"	0.0422844
"major league season"	0.0422807
Kyprianou	0.0422383
"arms industry"	0.0421012
skydiver	0.0420775
Koreas	0.0420004
nonwhites	0.0419714
"Gold Gloves"	0.0418683
"Law Lords"	0.0415581
"Eastern Airlines"	0.0415096
"Virgin Islands"	0.0414056
housemates	0.0413334
"weather satellite"	0.041205
storey	0.0410878
"armed service"	0.0410176
Maldives	0.0408787
Neilson	0.0408753
"Caribbean Community"	0.0408569
"space heater"	0.0408442
Bosnia-Herzegovina	0.0407284
"New Korea Party"	0.0406478
stadia	0.0405854
upperclassmen	0.0404574
tractor-trailers	0.0403407
Opens	0.0402036
"business unit"	0.0401157
"European Bank for Reconstruction"	0.0401153
))
("Central Asia" (desc 15798.7) (sims
Caucasus	0.190926
"West Asia"	0.164086
"Middle East"	0.160722
"North Africa"	0.158656
"Southeast Asia"	0.149172
"South Asia"	0.148634
"Far East"	0.141298
"South America"	0.135729
"Commonwealth of Independent States"	0.133846
"Eastern Europe"	0.130747
"East Asia"	0.12859
"Persian Gulf"	0.127399
Asia	0.123187
"Caspian Sea"	0.12084
Africa	0.119715
Siberia	0.117787
"Latin America"	0.117705
Turkmenistan	0.115721
Balkans	0.115584
Mediterranean	0.10257
"Central Asian"	0.102552
Kazakstan	0.101797
Mideast	0.100155
Europe	0.096997
"Central America"	0.0966614
Asia-Pacific	0.0965616
Caspian	0.0951002
"West Africa"	0.0932194
"Western Europe"	0.0928098
Gulf	0.0926696
Kazakhstan	0.0922169
Tajikistan	0.0919287
"East Europe"	0.0911511
"Near East"	0.0906516
"South East Asia"	0.0905948
"Asia-Pacific Region"	0.0895498
"Northeast Asia"	0.0893932
Azerbaijan	0.0889358
"Black Sea"	0.0888488
"North Caucasus"	0.0876999
Oceania	0.0868778
"Asia Pacific"	0.086403
"Pacific Rim"	0.0860046
subcontinent	0.0843244
"North America"	0.0828532
"East Africa"	0.082385
Ci	0.0821818
"Central Europe"	0.0817476
Caribbean	0.080147
"Soviet Union"	0.0800778
"Asian country"	0.0793182
Chechnya	0.079308
Afghanistan	0.0787019
"Southern Africa"	0.0763279
Scandinavia	0.0753187
Republic	0.0751712
"Red Sea"	0.0744975
"Western Pacific"	0.0743284
"South Pacific"	0.0741819
"Korean Peninsula"	0.0740659
pacific	0.0737602
Eurasia	0.0732777
Baltics	0.0723707
Kyrgyzstan	0.0718554
"Asian nation"	0.0713256
Uzbekistan	0.0707003
Mongolia	0.0705797
"European country"	0.0705503
Abkhazia	0.0696241
"Arabian Peninsula"	0.0688783
"Great Lakes Region"	0.0660896
Armenia	0.0655015
Pakistan	0.065389
continent	0.0652239
Moldova	0.0652065
Korea	0.0648847
Laos	0.0641831
"British Isles"	0.0638214
"Central Africa"	0.063594
Tibet	0.0632528
sub-region	0.0630116
Belarus	0.0626301
Iran	0.0624412
Yugoslavia	0.0612658
Egypt	0.061146
Albania	0.0609217
"Xinjiang Uygur Autonomous Region"	0.0604901
Macedonia	0.0604363
Colombia	0.0604217
Cyprus	0.0600057
"Russian Federation"	0.0596255
"western hemisphere"	0.0594127
Dagestan	0.0588732
Baltic	0.058705
Nigeria	0.0584409
Kashmir	0.0582033
Ukraine	0.0579498
Angola	0.0572811
Kaliningrad	0.0571496
Somalia	0.0567836
"Mediterranean Sea"	0.0566582
"Baltic Sea"	0.0565266
Yemen	0.0564901
"Indian Ocean"	0.0564691
basin	0.0563961
Mozambique	0.0561243
"Saudi Arabia"	0.0560545
Sudan	0.0554021
Myanmar	0.055298
"African country"	0.0552532
Congo	0.0552434
cosmodrome	0.0551391
Libya	0.0549951
Ethiopia	0.0548689
Burma	0.0547651
Lebanon	0.0545837
Bolivia	0.0544764
Algeria	0.0542938
hemisphere	0.0542881
Kirghizstan	0.0542512
"Holy Land"	0.0541969
Sakhalin	0.0541762
"Balkan country"	0.0539199
Chiapas	0.0538912
"North Korea"	0.053891
Oman	0.0538006
Bosnia	0.0535004
Bulgaria	0.0533775
"Kennedy Space Center"	0.0531901
Latvia	0.0531106
mainland	0.0529525
"Cape Canaveral"	0.0529032
Bangladesh	0.0527968
"North Ossetia"	0.0526656
Xinjiang	0.0524957
Peru	0.0524578
Haiti	0.0519857
"African nation"	0.0519116
"South China Sea"	0.0517465
Ireland	0.0517329
Cambodia	0.0517226
Mindanao	0.0516886
Niger	0.0515856
"European nation"	0.051444
ASEAN	0.0513746
"Northern Ireland"	0.0513125
Daghestan	0.0507557
Palestine	0.0507252
Indochina	0.0505293
"Third World"	0.050466
Balkan	0.0501258
Vietnam	0.0501034
Aegean	0.0500358
Zambia	0.0499984
Bosnia-Herzegovina	0.0498863
Hungary	0.0498621
"North Sea"	0.049498
Himalayas	0.0492873
"Inner Mongolia"	0.0492514
Serbia	0.0488259
Venezuela	0.0487548
Midwest	0.048528
Tanzania	0.0483955
"Pearl River Delta"	0.0483705
Qatar	0.048359
"Sierra Leone"	0.0483374
Nagorno-Karabakh	0.0479314
ROK	0.0478392
Antarctica	0.0478193
"Gulf Cooperation Council"	0.047777
"St. Petersburg"	0.047697
Singapore	0.0476188
Vavuniya	0.0475947
"South American country"	0.047479
Baku	0.0474779
Sicily	0.047311
"Sri Lanka"	0.0471341
Philippines	0.047098
"United Kingdom"	0.046973
Ningxia	0.0469083
"Gaza Strip"	0.0468325
Gaza	0.0467478
Zaire	0.0466061
Liberia	0.0464038
Jammu	0.0461747
"South American nation"	0.0461521
Montenegro	0.0460883
Uganda	0.0460841
"Republic of Korea"	0.04603
USSR	0.0459735
"New Zealand"	0.0459617
Kabul	0.0458138
Dushanbe	0.0456173
KIEV	0.0454039
Maldives	0.0453637
Poland	0.0452835
Panama	0.0450841
"Yunnan Province"	0.0449008
Honduras	0.0446098
Burundi	0.0445429
))
("Central Asian" (desc 2025.79) (sims
"South Asian"	0.176036
"East European"	0.174825
Baltic	0.157237
"Western European"	0.155573
"North African"	0.153104
"Eastern European"	0.152241
"Middle Eastern"	0.130797
"Southeast Asian"	0.127292
"East Asian"	0.12322
"Central American"	0.12122
Slavic	0.110076
Balkan	0.107582
"Rocky Mountain"	0.107385
Tigray	0.106723
Kazak	0.10581
Ci	0.104317
"Central Asia"	0.102552
"Latin American"	0.101945
Azeri	0.0998998
Turkmen	0.0991488
"East African"	0.0989003
Kazakh	0.0940884
"West African"	0.0928708
Mid-Atlantic	0.0913845
Caspian	0.0874357
Ingush	0.0860331
"North Africa"	0.0839167
"Pacific Rim"	0.0828164
"South American"	0.0823768
"Caspian Sea"	0.0807836
Caucasus	0.0801775
"Commonwealth of Independent States"	0.0789346
"Asia Pacific"	0.0788945
Putumayo	0.0752462
"Far Eastern"	0.0738378
Azerbaijani	0.0722501
Icelandic	0.0697017
"Far East"	0.0692701
"North American"	0.0683639
Berber	0.0682397
USSR	0.0680548
Niger	0.0659246
"West Asia"	0.0658416
Kyrgyz	0.0657852
"Saudi Arabian"	0.0655134
ACP	0.0652045
Moldovan	0.0636029
Mideast	0.0635782
"East Asia"	0.0635193
Appalachian	0.0633306
Soviet	0.0628926
sagebrush	0.0626176
"Turkish Cypriot"	0.0622513
Abkhazia	0.0620894
Acadian	0.0619787
Edo	0.0619091
Tajik	0.0616245
Ottoman	0.0615567
Belarusian	0.0607687
"Eastern Europe"	0.0604557
Slovak	0.0602113
Estonian	0.0601729
Hesse	0.0599881
Kagera	0.0595362
"Persian Gulf"	0.0589851
Herzegovina	0.0588818
Asia-Pacific	0.0588362
Chechen	0.0587712
Amazonian	0.0586321
eco	0.0582779
Stalinist	0.0577448
Michoacan	0.0574353
Kilimanjaro	0.0571817
"Minas Gerais"	0.0571402
Belarussian	0.0569031
Somaliland	0.056656
Tamaulipas	0.0556423
"Western Europe"	0.0540346
Alsace	0.0539368
Maharashtra	0.0537064
"North Ossetia"	0.0536879
"European nation"	0.0536003
Caprivi	0.0535661
"Quintana Roo"	0.0535207
Vojvodina	0.0532055
Enugu	0.0531411
Uzbek	0.0531081
"North Caucasus"	0.0529971
Khmer	0.0529118
"South Vietnamese"	0.0526563
Daghestan	0.052502
"United Republic of Tanzania"	0.0524862
Katanga	0.0524808
"Northeast Asia"	0.052437
"South East Asia"	0.0522026
CPV	0.0521708
Sakhalin	0.0521519
"Old World"	0.0521044
Turkmenistan	0.0519491
Morelos	0.0516415
"Hearst Newspapers"	0.0515699
Nagorno-Karabakh	0.0514411
Chesapeake	0.0513507
Mtwara	0.0512304
westerain	0.0511644
"Great Lakes Region"	0.0510752
Kelantan	0.05101
SAARC	0.0510048
Rajasthan	0.0509993
Umbria	0.0509123
Aegean	0.0507933
pro-western	0.0506072
"Bible Belt"	0.0502513
"Black Sea"	0.0501615
GCC	0.0497772
Gujarat	0.0496826
Krasnoyarsk	0.0496009
OIC	0.0494627
"West Indian"	0.0494356
Abkhazian	0.0491668
"Islamic Conference"	0.049163
BASQUE	0.0491238
Khabarovsk	0.0491234
Armenian	0.0491032
CPLP	0.0490454
"Baltic Sea"	0.049013
Peoples	0.0487737
Kaliningrad	0.0486427
Catskill	0.0484545
southerain	0.0484111
Jalisco	0.0483701
Tibetan	0.048369
Mexican-American	0.0482931
Muslim-Croat	0.047876
Oaxaca	0.0477086
Danube	0.0475023
northerain	0.047471
IGAD	0.0473918
Ukrainian	0.0471841
"Muslim-Croat Federation"	0.0471255
"Himachal Pradesh"	0.0471206
non-Indian	0.0470787
"Third World"	0.0470334
"African American"	0.0470133
"Near East"	0.0469669
"North Korean"	0.0465911
"Unites States"	0.046545
G-@@	0.0465219
"Russian Federation"	0.0465095
Mbeya	0.0461206
"West Bengal"	0.0460945
Sinaloa	0.0460435
"South Pacific"	0.0460131
WEU	0.0459109
Ibo	0.0458847
Scandinavian	0.0457255
"Western Pacific"	0.0457087
Hawaiian	0.045599
ranching	0.0455816
Saxony	0.0453171
Forty-two	0.0452755
Eurasia	0.0452299
Antioquia	0.0452206
Tabora	0.0450975
Kedah	0.0447231
Tanga	0.0445779
Morogoro	0.044103
Brandenburg	0.0436563
hardest-hit	0.043594
Kano	0.0435872
Scandinavia	0.0434591
Tatar	0.0433665
Veracruz	0.0432148
Ingushetia	0.043202
Dushanbe	0.0431267
nuclear-weapons	0.0430484
pan-Arab	0.0429727
secessionist	0.042736
"Sub-Saharan Africa"	0.0427169
"Damascus Declaration"	0.0425627
Kerala	0.0425445
"Tamil Nadu"	0.0425418
Ecuadorean	0.0425418
"Great Plains"	0.0424555
EAC	0.0423289
Leningrad	0.0422251
"Papua New Guinea"	0.0420101
gangland	0.0420055
canola	0.0418124
Badme	0.041757
Drenica	0.0415465
"Orthodox Christian"	0.0414359
Vedeno	0.0414304
Haryana	0.0412544
Iroquois	0.0412341
"West Africa"	0.0412239
"Johor Baru"	0.0410956
Tasmania	0.0410251
"Baja California"	0.0410046
Cosmo	0.0409392
))
("central bank" (desc 67919) (sims
"Federal Reserve"	0.203485
Fed	0.194552
"European Central Bank"	0.190676
"reserve bank"	0.182519
"Bank of Japan"	0.176838
bank	0.172643
"Bank of England"	0.170221
"Bank of Thailand"	0.168188
"Finance Ministry"	0.167754
"commercial bank"	0.165332
"U.S. Federal Reserve"	0.158678
government	0.158479
ministry	0.154161
"International Monetary Fund"	0.150109
IMF	0.149341
"financial institution"	0.149169
"Foreign Ministry"	0.149045
ECB	0.145105
"national bank"	0.141405
"World Bank"	0.140981
agency	0.138401
"Federal Reserve Board"	0.134671
"Bank of China"	0.132919
"Health Ministry"	0.132307
"finance minister"	0.131883
authority	0.131883
Bundesbank	0.129468
"Bank Indonesia"	0.128463
"local government"	0.125498
"federal government"	0.125282
"Philippine Central Bank"	0.125208
"Defense Ministry"	0.124631
"Ministry of Health"	0.121031
"Reserve Bank of Australia"	0.120526
"Agriculture Ministry"	0.118935
Council	0.117014
"armed forces"	0.116462
department	0.116396
"Interior Ministry"	0.116304
regulator	0.115653
"foreign minister"	0.11513
"Ministry of Finance"	0.114905
commission	0.1141
"Ministry of Agriculture"	0.113961
federation	0.113876
bureau	0.113073
administration	0.112213
treasury	0.110708
"Justice Ministry"	0.110191
military	0.110072
ADB	0.109309
"State Statistics Bureau"	0.108755
"Central Bank of Nigeria"	0.108693
PBOC	0.108492
"Reserve Bank of India"	0.107192
parliament	0.106364
"United Nations"	0.105635
"Asian Development Bank"	0.105518
"election commission"	0.105512
airline	0.104982
BOJ	0.104644
"Central Bank of Kenya"	0.104354
"Federal Communications Commission"	0.104262
"European Commission"	0.10367
"U.S. State Department"	0.102952
"Education Ministry"	0.101976
"Department of Health"	0.101955
company	0.101891
minister	0.10188
"trade union"	0.101792
"Labor Ministry"	0.101215
"Securities and Exchange Commission"	0.101059
lender	0.101058
"chamber of commerce"	0.100942
institution	0.100883
"Food and Drug Administration"	0.100527
Judiciary	0.100375
FDA	0.0999762
"stock exchange"	0.0999741
committee	0.0996991
"Bank Negara"	0.0994866
organization	0.0994774
corporation	0.0993039
embassy	0.0990769
"Commerce Ministry"	0.0988595
"Justice Department"	0.0985718
FCC	0.0980156
OPEC	0.0978938
"trading partner"	0.0975785
Congress	0.0973141
association	0.0972145
"Census Bureau"	0.096564
"Environmental Protection Agency"	0.0963659
"Treasury Department"	0.0958789
police	0.095555
"Supreme Court"	0.095289
"Board of Investment"	0.0952163
cabinet	0.0949965
"Commerce Department"	0.0949195
firm	0.0949149
"Labor Department"	0.0948852
insurer	0.0946037
EPA	0.0940308
"Hong Kong Monetary Authority"	0.0939645
Ambassador	0.0936916
"banking system"	0.0935906
legislature	0.0935904
"Ministry of Foreign Affairs"	0.093509
"Federal Aviation Administration"	0.0934914
"municipal government"	0.0934736
U.N.	0.0931735
"business community"	0.0928551
FAA	0.0923902
"political party"	0.0923553
exporter	0.0919324
institute	0.09176
currency	0.0916864
economy	0.0916424
official	0.0914687
"People's Bank of China"	0.091416
army	0.0912024
"Ministry of International Trade and Industry"	0.0909036
FIFA	0.0906271
investor	0.0903735
"Ministry of Foreign Trade and Economic Cooperation"	0.0901274
"State Department"	0.0894744
Pentagon	0.0892688
"State Planning Commission"	0.0890153
President	0.0889466
"State Development Planning Commission"	0.0889267
"insurance company"	0.088757
"Economic Planning Agency"	0.0886727
sector	0.088399
"Ministry of Education"	0.0883129
"Department of Trade and Industry"	0.0881738
"Federal Trade Commission"	0.0879204
"police department"	0.087511
"Agriculture Department"	0.0874122
"European Union"	0.0872131
"State Council"	0.08703
UNHCR	0.0868812
"Air Force"	0.0867644
IRS	0.0864458
CBK	0.0864247
IOC	0.0860569
automakers	0.0859337
state	0.085881
"International Olympic Committee"	0.0855743
industry	0.0855306
union	0.0854035
prosecutor	0.0853379
banker	0.0852558
"Education Department"	0.0849012
"Security Council"	0.0847765
"Ministry of Industry"	0.0847287
"Health Department"	0.0844821
EU	0.0843956
"head of state"	0.0841578
businessmen	0.0838532
court	0.0838388
creditor	0.0837932
FTC	0.0834522
"Energy Department"	0.0833835
country	0.0833255
"Department of Agriculture"	0.0832134
office	0.0830907
party	0.0826851
"Civil Aviation Administration of China"	0.0826494
leader	0.0825154
"Ministry of Defense"	0.082512
HKMA	0.0819954
university	0.0817138
"planning commission"	0.0815991
"Communist Party"	0.0805972
Governor	0.0805089
"Russian Foreign Ministry"	0.0804549
"World Health Organization"	0.0804532
nation	0.0803988
UEFA	0.0803792
Secretariat	0.0803317
"Ministry of Public Security"	0.080283
SEC	0.0802281
USDA	0.07991
navy	0.0798621
board	0.0794233
group	0.079225
"Red Cross"	0.0792158
Eximbank	0.0792015
"Department of Justice"	0.0790868
NATO	0.0789037
"Organization of Petroleum Exporting Countries"	0.078849
employer	0.0787761
fund	0.078573
EC	0.0784633
"power company"	0.0782742
"deputy foreign minister"	0.0780432
carrier	0.0779668
manufacturer	0.0776926
"pension fund"	0.0774133
SDB	0.0773223
))
("Central Bank of Kenya" (desc 1971.01) (sims
"Bank of Uganda"	0.197134
"Ministry of Trade and Industry"	0.181599
CBK	0.178446
"Philippine Central Bank"	0.171206
"State Statistical Bureau"	0.170313
"People's Bank of China"	0.168777
"U.S. Census Bureau"	0.168385
"Bank of Thailand"	0.158367
"Central Bank of Nigeria"	0.156335
PBC	0.155941
"Thai Commerce Ministry"	0.154894
"Central Bureau of Statistics"	0.153834
"Bank of Israel"	0.152851
"Ministry of Industry"	0.148292
"Ministry of Forestry"	0.14692
"State Administration for Industry"	0.146406
"Tourism Authority of Thailand"	0.144523
"National Research Council"	0.143538
"Ministry of International Trade and Industry"	0.143525
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"reserve bank"	0.143178
"State Statistics Bureau"	0.14232
"American Petroleum Institute"	0.140063
"Ministry of Tourism"	0.13514
PBOC	0.133394
"Bank Indonesia"	0.131087
"Ministry of Labor"	0.130978
"Ministry of Civil Affairs"	0.130521
"Ministry of Posts"	0.129532
"United Nations Environment Program"	0.129173
"Reserve Bank of India"	0.128053
"Hong Kong Monetary Authority"	0.127779
"Ministry of Economy"	0.127537
"State Environmental Protection Administration"	0.126626
"Labor Ministry"	0.126178
"Commerce Ministry"	0.126177
"Bank of Italy"	0.125239
"State Forestry Administration"	0.124886
"Industry Ministry"	0.124514
"Bank of Zambia"	0.12365
"China National Tourism Administration"	0.121682
"Department of Trade and Industry"	0.120776
"Bureau of Labor Statistics"	0.120747
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ISTAT	0.119741
"World Tourism Organization"	0.118139
"Ministry of Health"	0.117991
"Congressional Research Service"	0.117188
"Health Ministry"	0.115943
"Hong Kong Tourist Association"	0.115924
"Ministry of Foreign Trade and Economic Cooperation"	0.114983
"International Badminton Federation"	0.114857
"Institute of Medicine"	0.114729
"United Nations Children's Fund"	0.113604
"National Bureau of Statistics"	0.11294
"Economic Planning Agency"	0.112766
"Ministry of Interior"	0.112692
"Ministry of Personnel"	0.112476
"Bank of China"	0.111794
"Home Ministry"	0.10925
"State Flood Control"	0.109174
"Census and Statistics Department"	0.10913
"Australian Bureau of Statistics"	0.10904
"State Seismological Bureau"	0.108856
"U.S. State Department"	0.108665
"Department of Finance"	0.108361
"Ministry of Water Resources"	0.108281
"United Nations High Commissioner for Refugees"	0.107928
"National Tourism Administration"	0.107684
"National Highway Traffic Safety Administration"	0.107228
"General Administration of Customs"	0.10694
"Standard Chartered Bank"	0.106873
"Hong Kong Trade Development Council"	0.106754
"Ministry of Public Health"	0.106693
"State Planning Commission"	0.1065
"U.S. Treasury Department"	0.104786
"Ministry of Railways"	0.104553
"Department of Health"	0.104282
"International Criminal Tribunal for Rwanda"	0.103973
"World Health Organization"	0.103756
"Board of Investment"	0.103742
"Health Care Financing Administration"	0.103652
"Ministry of Land"	0.103106
Eurostat	0.102837
BoT	0.101409
"Ministry of Agriculture"	0.101389
"Bank Negara"	0.101219
"Bank for International Settlements"	0.100848
"Congressional Budget Office"	0.0996856
"General Accounting Office"	0.0995152
"Ministry of Communications"	0.0993718
"Thai Foreign Ministry"	0.098671
"Food and Agriculture Organization"	0.0985486
"State Administration of Taxation"	0.0983714
"Conference Board"	0.0979292
"State Administration of Internal Trade"	0.0968968
"British High Commission"	0.0968937
"Families USA"	0.0968702
"State Education Commission"	0.0962105
"Reserve Bank of Australia"	0.0961582
"Ministry of Public Security"	0.0959963
"United Nations Industrial Development Organization"	0.0953591
"Department of Agriculture"	0.0950433
"International Labor Organization"	0.0948434
"Bangladesh Bank"	0.0946899
"Agriculture Ministry"	0.0942645
"Ministry of Foreign Trade"	0.0941226
"Ministry of Construction"	0.0937003
"Agence France Presse"	0.0929997
"Department of Foreign Affairs"	0.0925616
"Ministry of Planning"	0.0924912
"Ministry of Education"	0.0920181
"Information Office"	0.0916847
"Kenyan shilling"	0.0909368
"United Nations Development Program"	0.0903537
"Census Bureau"	0.0902278
"national bank"	0.0900161
"ASEAN Secretariat"	0.0898085
"Organization for Economic Cooperation and Development"	0.0892179
INEC	0.0886694
"Ministry of Information"	0.0885065
"State Development Planning Commission"	0.0884023
"American Academy of Pediatrics"	0.0880813
"Ministry of Information Industry"	0.088024
"Department of Commerce"	0.0876546
"Department of Health and Human Services"	0.0868301
"Nairobi Stock Exchange"	0.0853236
"Air Transport Association"	0.0851635
"Justice Ministry"	0.085099
"Transportation Department"	0.0840674
"United Nations High Commission for Refugees"	0.0836523
Dataquest	0.0836394
"Health Department"	0.0833597
RBA	0.0830315
"Civil Aviation Administration of China"	0.0828939
"Ministry of Science"	0.0825834
"Department of Labor"	0.0824401
"Environmental Protection Agency"	0.0823987
"Presidential Office"	0.0822516
"planning commission"	0.0818162
"Information Center"	0.081773
"U.S. Commerce Department"	0.0814803
"Department of Education"	0.0803257
"Ministry of Finance"	0.0800051
"U.N. Development Program"	0.079589
"Bank of England"	0.0795866
"election commission"	0.0794104
"Urban Institute"	0.0793528
"Chinese Academy of Social Sciences"	0.0793155
"Chinese Foreign Ministry"	0.0784714
"American Bankers Association"	0.0780822
Tat	0.0777618
"Finance Ministry"	0.0776152
"Xinhua News Agency"	0.0770718
"African Development Bank"	0.0769336
"Kenya Airways"	0.0769171
"Independent Electoral Commission"	0.0768801
"United Nations agency"	0.0768487
"general staff"	0.0767955
"Ministry of Trade"	0.0765255
"U.S. Agriculture Department"	0.0764172
"Department of State"	0.0762779
"French Foreign Ministry"	0.0758771
ICTR	0.0756629
"United Nations Conference on Trade and Development"	0.0754847
"National Academy of Sciences"	0.0749941
"Transparency International"	0.0749602
"Lagos State"	0.0749248
IEA	0.0749153
MOFTEC	0.0747089
"Occupational Safety and Health Administration"	0.0744959
"ethics panel"	0.0743663
"Department of Energy"	0.0743522
HKMA	0.0742253
"Ministry of Justice"	0.0741963
"Office of Management and Budget"	0.0740334
"U.N. High Commissioner for Refugees"	0.0738424
"National Weather Service"	0.0738413
"Nuclear Regulatory Commission"	0.073664
"National Election Committee"	0.0735057
"Federal Aviation Administration"	0.0734016
"Interior Ministry"	0.0733379
"Federal Reserve Board"	0.0726601
"Forrester Research"	0.0725944
"Israeli Foreign Ministry"	0.0725244
"Ministry of Foreign Affairs"	0.0724667
"Shanghai Branch"	0.0724232
"Human Rights Watch"	0.0722516
Angop	0.0718429
"Asian Development Bank"	0.0717864
"Commerce Department"	0.0715635
UCI	0.0711574
"foreign office"	0.0710507
"Labor Department"	0.0709888
"Ministry of Internal Trade"	0.0708425
"US State Department"	0.0707765
HKTA	0.070704
"Federal Trade Commission"	0.0705507
"College Board"	0.0704873
"Saudi Press Agency"	0.0702445
))
("Central Bank of Nigeria" (desc 2020.5) (sims
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"Bank of Uganda"	0.184801
"Bank of Thailand"	0.163126
"Bank of Israel"	0.160924
"Home Ministry"	0.158544
"Central Bank of Kenya"	0.156335
"State Bank of Pakistan"	0.153225
"People's Bank of China"	0.151108
"Bank Negara"	0.14829
"Tourism Authority of Thailand"	0.142303
"Hong Kong Tourist Association"	0.140511
"Bank of Italy"	0.139176
"reserve bank"	0.133731
"Bank of Zambia"	0.119704
"Bank Indonesia"	0.119612
"Ministry of International Trade and Industry"	0.118632
"Bangladesh Bank"	0.113427
PBOC	0.11321
"U.S. Commerce Department"	0.112662
"Israeli Foreign Ministry"	0.111786
"Agriculture Ministry"	0.111651
"Bank of Japan"	0.110075
"United Nations High Commission for Refugees"	0.109469
"central bank"	0.108693
RBA	0.10741
"State Administration of Foreign Exchange"	0.106792
"State Administration of Taxation"	0.104849
"National Electoral Commission of Nigeria"	0.104813
"Reserve Bank of India"	0.103945
"Board of Investment"	0.103751
"Labor Ministry"	0.101621
"Department of Health"	0.0995238
"Bank of China"	0.0989331
PBC	0.0977712
"Ministry of Trade and Industry"	0.097612
"Independent Electoral Commission"	0.097194
"Economic Planning Agency"	0.0964444
"Ministry of Trade"	0.0964135
"Commerce Ministry"	0.0960731
"Australian Bureau of Statistics"	0.0926485
"Department of Finance"	0.0924653
"Ministry of Industry"	0.0920224
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HKMA	0.0893531
"Department of State"	0.0887769
"Independent National Electoral Commission"	0.0885464
"Ministry of Civil Affairs"	0.087668
"Reserve Bank of Australia"	0.0875214
"Health Ministry"	0.0870958
"International Committee"	0.086663
"French Foreign Ministry"	0.086593
"U.N. High Commissioner for Refugees"	0.0863923
"Russian Defense Ministry"	0.0857171
"Ministry of Labor"	0.0856772
"Department of Foreign Affairs"	0.0850613
"Defense Agency"	0.084399
"Xinhua News Agency Hong Kong Branch"	0.0837113
"Electoral Commission"	0.0837112
"State Statistical Bureau"	0.083578
"China Securities Regulatory Commission"	0.0834404
SDB	0.08322
BOI	0.0828729
"Central Bureau of Statistics"	0.0827696
"Ministry of Foreign Trade and Economic Cooperation"	0.082679
"Bank of Montreal"	0.0826728
"National Bureau of Statistics"	0.0824466
"National Election Committee"	0.0823948
"United Nations Population Fund"	0.08221
"British High Commission"	0.0812479
"U.S. Agriculture Department"	0.0811382
"Daily Times"	0.0810015
"Inter-American Development Bank"	0.0808636
"Ministry of Communications"	0.0807495
Strauss-Kahn	0.0805278
"United Nations High Commissioner for Refugees"	0.0801488
"U.S. State Department"	0.0801125
BoT	0.0797095
"Ministry of Health"	0.0790135
"national bank"	0.0789712
"Ministry of Agriculture"	0.0786181
"Hong Kong Monetary Authority"	0.0785375
CBK	0.0785226
"Interior Ministry"	0.0784992
BOJ	0.0780353
IEA	0.0778189
"U.S. Census Bureau"	0.0777197
"State Development Planning Commission"	0.077288
"U.N. World Food Program"	0.0770013
"International Badminton Federation"	0.0765317
"Standard Chartered Bank"	0.0763683
"Business Times"	0.0759849
"Treasury Department"	0.0757036
"Department of Public Health"	0.0756626
"Nigerian National Petroleum Corporation"	0.0756113
"Thai Foreign Ministry"	0.0755343
"National Police"	0.0755059
"African Development Bank"	0.0749049
"Census and Statistics Department"	0.0746817
"Kyodo News Service"	0.0746107
"Federal Bureau of Investigation"	0.074587
"Ministry of Education"	0.0742334
"Russian Foreign Ministry"	0.0740894
"Ministry of Public Health"	0.0737883
"Finance Ministry"	0.0737175
"Ministry of Transport"	0.073651
"Agence France Presse"	0.0734659
Lari	0.0733388
"Lagos State"	0.0732513
"Asian Development Bank"	0.0732155
"Social Security Administration"	0.0731489
"Justice Ministry"	0.0730649
"Office of Management and Budget"	0.0730257
"election commission"	0.0730205
Yazdi	0.0725343
"Bank of Canada"	0.0722623
"Commission on Elections"	0.0719912
IDB	0.071792
"United Nations Children's Fund"	0.0716664
"United Nations Industrial Development Organization"	0.0715648
"Central Election Commission"	0.0714241
"China National Tourism Administration"	0.0711932
FIVB	0.0708425
"U.S. Labor Department"	0.0708046
"Hong Kong Trade Development Council"	0.0705117
"International Association of Machinists"	0.0704616
"International Labor Organization"	0.0704585
Malu	0.0703181
"Ministry of Foreign Affairs"	0.0702302
INEC	0.0702256
Tat	0.0701883
"BellSouth Corp."	0.0699439
"Health Care Financing Administration"	0.0698531
"Department of Health and Human Services"	0.0698255
EOHR	0.0697593
"Bank of England"	0.0696401
Ghanaian	0.0695313
Ruehe	0.06922
"Anti-Defamation League"	0.0690775
Guanajuato	0.0689893
Ikimi	0.0689617
Singson	0.068864
"Atlanta Committee"	0.0688462
"Quintana Roo"	0.0688296
"International Cycling Union"	0.0686802
"Ministry of Interior"	0.0686286
"U.S. Environmental Protection Agency"	0.068551
"Federal Trade Commission"	0.0684483
"Interior Department"	0.068274
UCI	0.0682623
"Xinhua News Agency"	0.067689
"Israeli Embassy"	0.0676032
"Indonesian Armed Forces"	0.0675611
"Saudi Press Agency"	0.0674523
"World Bank Group"	0.0674157
"World Health Organization"	0.0672852
"Turkish Foreign Ministry"	0.0672006
"People's Democratic Party"	0.0671251
"National Research Council"	0.0671176
"State Planning Commission"	0.0670335
"Lower Saxony"	0.0669708
"U.S. Treasury Department"	0.0669051
"Federal Deposit Insurance Corp."	0.0667595
"El Mundo"	0.0665377
"US State Department"	0.0662495
CBI	0.066132
CDC	0.0661022
"Red Cross Society"	0.0658884
"Ministry of Science"	0.0656797
"United Nations Educational, Scientific and Cultural Organization"	0.0656585
"General Security Service"	0.0656135
"Ministry of Information Industry"	0.0655968
"Ministry of Internal Trade"	0.06558
"Business Day"	0.0655032
Komura	0.0653694
"State Bureau of Environmental Protection"	0.0652135
SDPC	0.0652132
"Ministry of Finance"	0.0651956
"United Nations Development Program"	0.0650954
"Iranian Foreign Ministry"	0.064739
Kurth	0.0645428
"U.S. Immigration and Naturalization Service"	0.0644298
"Macao Government"	0.0643789
"Department of Trade and Industry"	0.0643768
"Department of Agriculture"	0.0642205
"State Development Bank"	0.0641357
"Health Department"	0.0641205
"Department of Labor"	0.0640359
"National Association of Securities Dealers"	0.064023
"Bangkok Bank"	0.0640008
BOC	0.0639832
"National Federation"	0.0639322
HKTA	0.0639018
Okada	0.0638507
Abdel-Meguid	0.0635663
"Thai Farmers Bank"	0.063471
"Information Ministry"	0.0633268
"International Criminal Tribunal for Rwanda"	0.0622477
"Federal Security Service"	0.0622357
Malan	0.06223
UNHCR	0.0621663
))
("Central Bureau of Investigation" (desc 3156.31) (sims
CBI	0.232145
"Federal Bureau of Investigation"	0.10739
EEOC	0.106566
"Industry Ministry"	0.104745
"Criminal Investigation Department"	0.103403
"Federal Security Service"	0.103279
"Federal Trade Commission"	0.101066
"Southeastern Legal Foundation"	0.0973331
"Indian Air Force"	0.0970054
"Judicial Watch"	0.0962736
"Philippine National Police"	0.0936825
"Securities and Exchange Commission"	0.0931933
"Reserve Bank of India"	0.0915578
FBI	0.0901639
"Immigration Department"	0.0856637
"Commerce Ministry"	0.0850552
"Royal Canadian Mounted Police"	0.0831655
"federal agent"	0.0821898
"General Security Service"	0.0809145
"U.S. Immigration and Naturalization Service"	0.0797289
CFTC	0.077989
"FBI agent"	0.0766996
"Sensitive Index"	0.0761017
"Paula Corbin Jones"	0.0755931
"Department of Corrections"	0.0747489
"Football Association"	0.0743403
"Department of Justice"	0.0740566
Garzon	0.0740229
"Israeli Foreign Ministry"	0.0729277
Rao	0.0728105
"Badminton Association of Indonesia"	0.072311
"National Police"	0.0718635
FTC	0.0712624
"American Civil Liberties Union"	0.0708842
"Commission on Elections"	0.070095
RCMP	0.0700295
"New York Civil Liberties Union"	0.0695326
procuratorates	0.0694842
SEC	0.0693902
"John Cornyn"	0.0692578
"planning commission"	0.0691535
"military police"	0.0689146
"National Electoral Commission of Nigeria"	0.0688157
"Home Ministry"	0.0686138
"antitrust regulator"	0.0684459
Procuratorate	0.0679553
"Independent Electoral Commission"	0.0677217
"election commission"	0.067582
ACLU	0.0673599
Ghalib	0.0667243
"Equal Employment Opportunity Commission"	0.0667228
"Electoral Commission"	0.0659756
"National Labor Relations Board"	0.0652672
"Russian Space Agency"	0.065026
"Recording Industry Association of America"	0.0649819
"Congress Working Committee"	0.0649062
Abdel-Meguid	0.064325
"Immigration and Naturalization Service"	0.0642755
"Department of Foreign Affairs"	0.0640804
Maurizi	0.0636594
"welfare worker"	0.0632986
"Indonesian Armed Forces"	0.0632798
DEA	0.0629089
"Turkish Foreign Ministry"	0.0626993
FSB	0.0625318
"grand jury"	0.0623105
"Atomic Energy Commission"	0.061956
"British government"	0.0619315
"Israel Defense Forces"	0.0616087
"charge sheet"	0.0614944
Caddell	0.0607778
Magistrate	0.0606233
"International Criminal Tribunal"	0.0604181
Advani	0.0601871
"Ethics Commission"	0.0601001
"Justice Ministry"	0.0600937
"Electronic Privacy Information Center"	0.0596486
ICTR	0.0594877
"NFL Players Association"	0.0589081
"Bank of Israel"	0.0587322
"Marianne Gingrich"	0.0585609
"Bureau of Alcohol"	0.0583616
"Civil Aviation Authority"	0.058142
Maritz	0.0579919
"Public Service Commission"	0.0575859
"Fish and Wildlife Service"	0.0574155
"Truth Commission"	0.0572923
"Drug Enforcement Administration"	0.0571889
Kulikov	0.0571354
Kiareldeen	0.0571122
"Office of Management and Budget"	0.0570376
"Federal Emergency Management Agency"	0.0568679
"district attorney"	0.0566683
"Clint Reilly"	0.0566601
TRC	0.0565364
"police investigation"	0.0562115
"Public Security Ministry"	0.0560658
Directorate	0.0560591
"Iranian Foreign Ministry"	0.0554318
bailiff	0.0548472
"local department"	0.0548144
"Elyakim Rubinstein"	0.0541986
Lamberth	0.0541647
petitioner	0.0541182
"Energy Department"	0.0537961
"Russian Defense Ministry"	0.0537426
"United Front"	0.0536651
"French Foreign Ministry"	0.0533293
NLRB	0.0533133
Gestapo	0.0532021
"New York City Police Department"	0.0531853
"Air Line Pilots Association"	0.0529845
Harris-Lewis	0.0528422
mistrial	0.0526964
"lower court"	0.052608
"Health Care Financing Administration"	0.0524446
INS	0.0519655
"Paula Jones"	0.0519539
Garcetti	0.0519282
"Central Intelligence Agency"	0.0518205
"Bharatiya Janata Party"	0.0517761
taskforce	0.051593
"U.N. High Commissioner for Refugees"	0.0515588
"ethics committee"	0.051557
"Department of Health and Human Services"	0.0514875
"Department of Trade and Industry"	0.0514251
"Planned Parenthood"	0.051303
"U.S. Environmental Protection Agency"	0.0511371
"Southern Command"	0.051123
"Kenneth Starr"	0.0511035
Comelec	0.0510986
Cleary	0.0510979
"Foreign Ministry"	0.0508657
"Bill Lockyer"	0.0507978
"intelligence agent"	0.0507151
"P.V Narasimha Rao"	0.0506244
"State Administration of Foreign Exchange"	0.0502588
"Deve Gowda"	0.0501682
"Inder Kumar Gujral"	0.0500016
"Education Ministry"	0.0499719
"Motion Picture Association of America"	0.0499624
"customs service"	0.0498302
"Department of Environment"	0.0497665
"Orlando Mercado"	0.0497069
"Congress Party"	0.0496714
"Finance Ministry"	0.0496239
"Israeli Army"	0.0494537
SANDF	0.0492106
"police lieutenant"	0.0491892
"Interior Ministry"	0.0490832
Eappens	0.0490709
"federal office"	0.0490707
"Department of Labor"	0.0490465
"Defense Agency"	0.0489836
"Central Bank of Nigeria"	0.0489735
CMA	0.0489307
"U.S. Fish and Wildlife Service"	0.0488009
"Department of Health"	0.0487353
"Louis XIV"	0.04869
CMAG	0.0485501
Yazdi	0.0485479
Moratinos	0.0482848
Shayler	0.0482338
"border patrol"	0.048221
Nickerson	0.0482104
"Export Processing Zones"	0.0482008
"federal official"	0.0479698
"Internal Revenue Service"	0.0478978
Interpol	0.0477974
"Constitutional Assembly"	0.0477648
"Iranian Jews"	0.0476922
"Financial Supervisory Agency"	0.047675
UC	0.0476046
"General Accounting Office"	0.0475045
counterclaim	0.047266
IDF	0.0471906
"United Nations Interim Force in Lebanon"	0.047075
"HK SAR"	0.0470652
Finkel	0.0470635
drugmakers	0.046961
ABRI	0.04693
Cameroun	0.0468204
"U.S. Soccer Federation"	0.0467172
EPA	0.046638
"World Jewish Congress"	0.0463575
"Nigerian National Petroleum Corporation"	0.0463481
NRC	0.0463393
Sensex	0.0463215
"Afghan Taliban"	0.0462205
"Kenyan Government"	0.0462102
Pustovoitenko	0.0461485
"House Judiciary Committee"	0.0460611
Mountie	0.0460042
"Lazaro Gonzalez"	0.0459075
Edelman	0.0458603
"Amos Wako"	0.0458223
"Appellate Division"	0.0456404
ATF	0.0456166
"Human Rights Commission"	0.0455466
CEC	0.0454694
))
("Central Bureau of Statistics" (desc 1782.15) (sims
"Census and Statistics Department"	0.242576
"State Statistics Bureau"	0.19088
"Australian Bureau of Statistics"	0.180876
"Ministry of Trade and Industry"	0.172845
"Bank of Korea"	0.171602
"Tourism Authority of Thailand"	0.166187
"Home Ministry"	0.166076
"International Badminton Federation"	0.163685
"U.S. Census Bureau"	0.1634
"Economic Planning Agency"	0.162869
ISTAT	0.162104
"Ministry of Tourism"	0.161696
"Central Election Commission"	0.155037
"National Bureau of Statistics"	0.154121
"Central Bank of Kenya"	0.153834
"U.S. Commerce Department"	0.153661
"Hong Kong Monetary Authority"	0.148468
"State Statistical Bureau"	0.142703
"National Research Council"	0.140135
"Statistics Canada"	0.138728
"U.S. Agriculture Department"	0.13868
"Labor Ministry"	0.138363
Eurostat	0.136804
"Hong Kong Tourist Association"	0.132627
"National Sports Council"	0.131678
IEA	0.128503
"Ministry of Industry"	0.126801
"Ministry of International Trade and Industry"	0.126403
"Ministry of Economy"	0.125196
"Information Center"	0.125036
"State Bank of Pakistan"	0.123737
"Vietnam News"	0.12179
"National Election Committee"	0.120039
"Jerusalem Post"	0.119999
"Health Ministry"	0.118166
"Thai Commerce Ministry"	0.117794
"Conference Board"	0.117583
SSB	0.117031
INEC	0.116446
"Agriculture Ministry"	0.115741
"Philippine Central Bank"	0.115585
"College Board"	0.115437
"Financial Mail"	0.115027
"Commerce Ministry"	0.114203
HKMA	0.113208
"Information Office"	0.112884
"Thai Foreign Ministry"	0.111882
"Vietnam News Agency"	0.111121
"Korean Central News Agency"	0.111
"Bureau of Labor Statistics"	0.11066
"Organization for Economic Cooperation and Development"	0.110369
Singson	0.110184
"World Tourism Organization"	0.109895
"Bank Indonesia"	0.109894
Dataquest	0.109077
Angop	0.108976
"Israeli Foreign Ministry"	0.108901
"United Nations Conference on Trade and Development"	0.1086
"Bank for International Settlements"	0.108348
"Ethiopian Herald"	0.107453
Haaretz	0.107425
"State Administration for Industry"	0.106684
"General Administration of Customs"	0.106139
"Egyptian Gazette"	0.105985
"Finance Ministry"	0.105863
"Agence France Presse"	0.105606
"Independent Electoral Commission"	0.104481
Ruehe	0.104213
"National Association of Realtors"	0.104203
"National Electoral Commission of Nigeria"	0.103545
"Ministry of Planning"	0.102797
"New Straits Times"	0.102765
"General Security Service"	0.10197
"Lee Hsien Loong"	0.10119
"National Highway Traffic Safety Administration"	0.101141
"Ministry of Labor"	0.101115
"Board of Investment"	0.101032
"Forrester Research"	0.100044
"Families USA"	0.100018
"Koha Ditore"	0.0987014
Ansa	0.0981103
"U.S. Defense Department"	0.0980204
"Department of Health"	0.0974541
"French Foreign Ministry"	0.0970957
"China Daily Business Weekly"	0.0963335
"election commission"	0.096077
"People's Bank of China"	0.0958876
"Xinhua News Agency"	0.0953641
"Transparency International"	0.0949764
Reforma	0.0941522
"United Nations Population Fund"	0.0939534
al-Hayat	0.0934172
"Office of Management and Budget"	0.0934104
"State Environmental Protection Administration"	0.0933355
"Gulf News"	0.0930907
Tat	0.093015
"Der Spiegel"	0.0929766
"Commerce Department"	0.0927902
"Turkish Daily News"	0.0925772
"Associated Press of Pakistan"	0.0922899
Boueiz	0.0920371
"Standard Chartered Bank"	0.0916621
"Air Transport Association"	0.0914893
"General Accounting Office"	0.0912665
"Jupiter Communications"	0.0912033
HKTA	0.0910339
"Department of Foreign Affairs"	0.0907942
"Khaleej Times"	0.0907595
"United Nations Environment Program"	0.090701
"Justice Ministry"	0.0906704
"Congressional Budget Office"	0.0902292
"Broadway Books"	0.0901744
"U.S. State Department"	0.0901605
"American Petroleum Institute"	0.0898703
"Airport Authority"	0.0898594
"Kyodo News"	0.0897916
"weather forecaster"	0.0896697
"Kathmandu Post"	0.0894098
"U.S. Labor Department"	0.0894086
"Department of Finance"	0.0891061
"Congressional Research Service"	0.088881
"Bank of Israel"	0.0888292
"Straits Times"	0.0886787
"Saudi Press Agency"	0.0882541
"Daily Star"	0.087892
Maariv	0.0877798
Fernandes	0.0877546
"Nielsen Media Research"	0.087546
KPL	0.0874972
"Natural Resources Defense Council"	0.0874364
"Labor Department"	0.087239
"Reserve Bank of India"	0.0871148
"Department of Trade and Industry"	0.0869559
"Department of State"	0.0859576
"Nihon Keizai"	0.0859327
"Press Trust"	0.0858279
Tsang	0.0856051
Sowetan	0.0854109
"State Flood Control"	0.0852207
"Census Bureau"	0.0852057
Harmoko	0.0851199
"New York Times Co."	0.084998
BS	0.0844547
"Alam Al Yom"	0.0844217
"British Foreign Office"	0.084376
RSS	0.0843684
"Ministry of Information"	0.0835477
"Kyodo News Service"	0.0829263
UCI	0.0829133
Malu	0.0828143
"Central Bank of Nigeria"	0.0827696
"general staff"	0.082626
"Philippine News Agency"	0.0825669
"Egyptian Middle East News Agency"	0.0824635
"El Mundo"	0.0823742
"Center for Responsive Politics"	0.0819758
"Ministry of Interior"	0.0819267
"De Klerk"	0.0818959
"Business Weekly"	0.081811
"Russian Foreign Ministry"	0.081743
"Le Monde"	0.0811733
IDC	0.0810521
"Ministry of Public Security"	0.0809873
"Le Figaro"	0.0807614
"Interior Ministry"	0.0807008
"Ministry of Agriculture"	0.080694
"Daily Nation"	0.0806431
"Macao Daily News"	0.0804591
"Bank of Uganda"	0.0803801
"Department of Labor"	0.0803355
"reserve bank"	0.0803081
"Bank of Thailand"	0.0802542
"International Criminal Tribunal for Rwanda"	0.0802474
"Department of Commerce"	0.0800472
"Agence France-Presse"	0.0799778
"U.S. Environmental Protection Agency"	0.0799353
"Business Times"	0.0798676
"Electoral Commission"	0.0797756
"Ministry of Trade"	0.0797295
"Department of Education"	0.0794696
"Washington Times"	0.079331
"Turkish Foreign Ministry"	0.0791435
"Business Day"	0.078868
"Thai News Agency"	0.0787302
"National Weather Service"	0.0786645
"Commission on Elections"	0.0786387
Lusa	0.0784006
"Education Department"	0.078353
"Port Authority of New York"	0.0782824
CDC	0.0780896
"State Planning Commission"	0.0780394
"Al Hayat"	0.0780066
"Consumer Product Safety Commission"	0.0775752
"U.S. Treasury Department"	0.0775255
"Health Care Financing Administration"	0.0775248
Granma	0.0773632
"Nihon Keizai Shimbun"	0.0773174
"Chinese Academy of Social Sciences"	0.0772548
"United Nations Children's Fund"	0.0772087
WAM	0.0771454
))
("Central China" (desc 2079.73) (sims
"North China"	0.0990573
"Northwest China"	0.0884035
"South China"	0.0713722
"Southwest China"	0.0677219
"East China"	0.0666942
"Northeast China"	0.0654691
Hunan	0.0577956
"Mekong Delta"	0.0488563
Xinhua/OANA	0.0430481
"Australian Cricket Board"	0.0400596
))
("central city" (desc 11790.5) (sims
"provincial capital"	0.0974691
"Egyptian capital"	0.0916486
"inner city"	0.077996
Makhachkala	0.0747495
CARACAS	0.0723035
Belfast	0.0717317
"Iranian capital"	0.0714601
Windhoek	0.070442
"Cape Town"	0.0702552
Nablus	0.0691803
Suva	0.069052
"Santo Domingo"	0.0689211
Dodoma	0.0682986
Dublin	0.0682861
Pristina	0.0679551
Beirut	0.0675875
Jakarta	0.067464
"Mexico City"	0.0672621
Cartagena	0.0666348
"East Orange"	0.0664633
"Shenzhen City"	0.0664339
Madrid	0.0663993
"St. Petersburg"	0.0663833
"Ho Chi Minh City"	0.0662854
"Saratoga Springs"	0.0662719
suburb	0.0662266
"city center"	0.0661603
"Gaza City"	0.0661248
Santiago	0.0660751
Bangkok	0.0657783
Matamoros	0.0656357
Dili	0.0655927
JOHANNESBURG	0.0654304
"Borough Park"	0.0651085
Chatsworth	0.0648432
"Old Town"	0.0647972
Pretoria	0.0647349
"Dar es Salaam"	0.0646439
Prague	0.0645999
Kandy	0.0644385
Hangzhou	0.063935
Asmara	0.0637678
Williamsburg	0.0636181
"Guatemala City"	0.0634018
"Newport Beach"	0.0633467
"Tel Aviv"	0.0632121
KIEV	0.0631245
Kigali	0.0629017
NANJING	0.0620167
highland	0.0619154
Vilnius	0.0617465
SEOUL	0.0616993
Englewood	0.0614795
Ramallah	0.0614621
Tbilisi	0.0613677
KAMPALA	0.0611204
MAPUTO	0.0609808
LAKEWOOD	0.0609031
HARARE	0.0605465
Lusaka	0.0603778
township	0.0603645
Hanover	0.0602693
"urban area"	0.0602374
BOGOTA	0.0602226
COLOMBO	0.0601982
Kunming	0.0601538
Luanda	0.0601034
"Kuala Lumpur"	0.0598392
"business district"	0.0598017
"Palm Beach Gardens"	0.0596777
"Fort Worth"	0.0595779
Spokane	0.0594389
Strasbourg	0.0592911
Havana	0.059209
Eureka	0.0592039
Quito	0.0590383
Alpharetta	0.0585967
BUDAPEST	0.058307
"Fort Lauderdale"	0.058069
Tehran	0.0580606
Lima	0.0579707
Monrovia	0.0576902
Marjayoun	0.0576258
Amman	0.057606
Port-au-Prince	0.0575401
"Buenos Aires"	0.0573636
CHENGDU	0.0572287
Srinagar	0.0572036
"Colorado Springs"	0.0571261
Maseru	0.056943
"Phnom Penh"	0.0569066
HANOI	0.0565921
hometown	0.0565821
Farmington	0.0565124
Izmit	0.056472
"Washington Heights"	0.0563753
Nairobi	0.0563254
Lhasa	0.0562328
Essen	0.0562014
"Oklahoma City"	0.0561694
Rome	0.0560655
Sarajevo	0.0560561
"Greenwich Village"	0.0559812
Asuncion	0.0558781
"South Bronx"	0.0558765
Jaffna	0.0558026
Abidjan	0.0557991
Albany	0.0557328
Holyoke	0.0556987
Berlin	0.0556868
"Miami Beach"	0.0556743
Riyadh	0.0556551
Manila	0.055625
Stamford	0.0555784
"Little Havana"	0.055563
Wallingford	0.0555541
"Des Moines"	0.0554029
Hartford	0.0553504
Prizren	0.0553144
Lausanne	0.0552542
"Overland Park"	0.0552257
Tampa	0.0551971
CHANGCHUN	0.0551688
"Washington D.C."	0.0551525
"Long Beach"	0.0551365
Duesseldorf	0.0551279
Wichita	0.0550957
Istanbul	0.055082
Gaza	0.055065
TRENTON	0.0549939
"Little Rock"	0.05493
"San Pedro Sula"	0.0548649
TIRANA	0.0548287
"Gaza Strip"	0.0548149
Guangzhou	0.0547881
CAIRO	0.054681
"East Berlin"	0.0545066
STOCKHOLM	0.0545056
Charleston	0.0544705
Taipei	0.0544377
Naperville	0.054411
Mogadishu	0.0543656
"Greek capital"	0.0543231
Raleigh	0.0542838
Scottsdale	0.0540912
"Van Nuys"	0.0539647
Dundalk	0.0539513
Edinburgh	0.0538614
Manhattan	0.0536785
Clearwater	0.0536003
Bloomington	0.0535972
Geneva	0.0535916
Algiers	0.0534613
Harbin	0.0532985
Lubbock	0.0532427
Eugene	0.0531999
"White Plains"	0.0531826
Morristown	0.0531151
TALLAHASSEE	0.0531134
"San Fernando Valley"	0.0530341
"Santa Monica"	0.0530047
ATHENS	0.0529569
Nakuru	0.0529127
"Albanian capital"	0.0528552
"small town"	0.0528496
Khartoum	0.0528401
LISBON	0.0528205
Bethlehem	0.0527655
"Russian capital"	0.0527039
"New Delhi"	0.0526231
Haifa	0.0526063
Durban	0.0525808
Carlsbad	0.0525093
Newark	0.0524896
"Kigoma Region"	0.0524715
"Miami Valley"	0.0524462
Skopje	0.0523844
"Fort Lee"	0.0523711
Pasadena	0.0523173
Dushanbe	0.0523168
Tucson	0.0523164
stronghold	0.0522536
Greenwich	0.0522258
Grozny	0.0521439
Austin	0.0519083
Manchester	0.0518349
Chongqing	0.0518327
BRUSSELS	0.0517957
Amsterdam	0.0517555
Bulawayo	0.0516948
Carthage	0.0516411
"Central Jakarta"	0.051545
Arusha	0.0515282
Chattanooga	0.0514235
Wilmington	0.0514119
Vukovar	0.0513689
Naples	0.0512492
"Addis Ababa"	0.0511094
Phoenix	0.051056
Nabatiyeh	0.0509995
))
("Central Clinical Hospital" (desc 2595.47) (sims
"Methodist Hospital"	0.165896
"Piedmont Hospital"	0.141409
"Diaoyutai State Guesthouse"	0.107331
"Waldorf-Astoria Hotel"	0.10083
Zhongnanhai	0.0990295
sanatorium	0.0988682
"Mayo Clinic"	0.0987187
"Red Square"	0.0934118
"military hospital"	0.0895916
"Cleveland Clinic"	0.0891534
"Presidential Palace"	0.0889827
"U.N. Headquarters"	0.0876178
"University Hospital"	0.0858661
sanitarium	0.0806184
Panmunjom	0.0800395
"Elysee Palace"	0.0792237
"Melbourne Cricket Ground"	0.0765919
Erez	0.0754514
"Plaza Hotel"	0.0736698
"mental institution"	0.0728493
infirmary	0.0707449
"mental hospital"	0.0705155
"Downing Street"	0.0679652
"Victoria Falls"	0.0672133
"Blair House"	0.0668827
"Royal Palace"	0.0661566
Davos	0.065387
"Wye Plantation"	0.0649371
"emergency room"	0.0642496
Innsbruck	0.0632878
"European Court of Justice"	0.0632128
Lille	0.0621218
Almaty	0.0607769
Daghestan	0.0598411
Sochi	0.0589506
"Russian Foreign Ministry"	0.0588667
Doha	0.0584222
Riyadh	0.0580216
"field hospital"	0.057812
"Great Hall"	0.0570272
"Lincoln Bedroom"	0.0569172
Waldorf-Astoria	0.056249
"Defense Ministry"	0.0554104
Highbury	0.0553383
Tbilisi	0.0549763
"World Youth Games"	0.054523
"Bandar Seri Begawan"	0.0543916
"U.S. State Department"	0.0537957
"Mercy Hospital"	0.053203
"Shrine Auditorium"	0.0531736
"California Speedway"	0.0528807
Arusha	0.05211
Alexandria	0.051964
Rabat	0.0518207
"Tariq Aziz"	0.051478
penitentiary	0.0513837
Berne	0.0510683
"Camp David"	0.0510256
Luxor	0.0509584
"psychiatric hospital"	0.0508573
"Melbourne Park"	0.0508258
"Mount Sinai Hospital"	0.0507982
"Jomo Kenyatta International Airport"	0.0499704
Engelberg	0.049836
"Eighth NPC"	0.0489906
"Park City"	0.0487
"Seasons Hotel"	0.0480871
Dushanbe	0.0477422
Ashkhabad	0.0467184
"Unknown Soldier"	0.0466528
"Mission Control"	0.0465097
Brunei	0.0464369
"foreign office"	0.0461321
"state prison"	0.0460044
Alma-Ata	0.0457459
Lahore	0.0457389
Accra	0.0454873
"UC Irvine"	0.0453902
"holding cell"	0.0453621
hospice	0.0453213
dacha	0.0449139
Lucerne	0.0443452
"Sheraton Hotel"	0.0441698
Dakar	0.0440739
Tripoli	0.0439696
"foster home"	0.0439256
Ritz-Carlton	0.0437652
"Siem Reap"	0.0437188
Stormont	0.0436693
"Wye River Plantation"	0.0435944
"Indian Wells"	0.0434525
Gaborone	0.0433748
Kandahar	0.0432882
"Chinese Basketball League"	0.0431365
MANAMA	0.0430829
"Harare International Airport"	0.0429262
Lausanne	0.0428497
"Israeli Cabinet"	0.0428487
chokehold	0.0428226
Conakry	0.0427684
"Hilton Hotel"	0.0427516
"Massachusetts General Hospital"	0.0426228
"sphere of influence"	0.0422985
"Windsor Castle"	0.0420595
Foxboro	0.0419383
Bamako	0.0419198
TIRANA	0.0415914
"conference center"	0.0415065
"Ritz-Carlton Hotel"	0.0414573
"Wembley Stadium"	0.0413088
SOFIA	0.0411872
PALERMO	0.0411542
Calcutta	0.0409597
Brigham	0.0409442
Jeddah	0.0407914
"Parliament House"	0.0407365
"Ho Chi Minh City"	0.0402311
Ramallah	0.0400997
Nassau	0.0400446
))
("Central Commission for Discipline Inspection" (desc 2336.42) (sims
"CPC Central Commission for Discipline Inspection"	0.407262
"Beijing Municipal Committee"	0.33422
"Publicity Department"	0.2699
"Organization Department"	0.244505
"Political Bureau"	0.242737
"Central Committee"	0.23684
"Propaganda Department"	0.214662
"Party School"	0.199155
"United Front Work Department"	0.194541
"International Department"	0.174665
"Central Military Commission"	0.168906
"National Congress"	0.14466
"CPPCC National Committee"	0.137587
"Third Plenary Session"	0.136899
"Ninth CPPCC National Committee"	0.135159
Politburo	0.13193
"Dai Bingguo"	0.12722
"Ministry of Interior"	0.119982
"State Bureau of Environmental Protection"	0.117419
"CPC Central Committee"	0.11561
"State Environmental Protection Administration"	0.113631
"Ministry of Personnel"	0.112218
"All-China Youth Federation"	0.111362
"Third Plenum"	0.111177
"State Peace and Development Council"	0.110184
"All-China Federation"	0.108881
"State Forestry Administration"	0.108532
"Chinese Communist Party Central Committee"	0.107645
"Communist Party of China"	0.107306
"military commission"	0.105499
"National Committee"	0.10505
"Public Security Ministry"	0.104169
ACFTU	0.100394
"Ministry of Communications"	0.0999243
"Ministry of Transport"	0.099091
"Ministry of Construction"	0.0986578
"Ministry of Public Security"	0.0985222
"Plenary Session"	0.0985038
"China Society"	0.0949195
"Department of Environment"	0.0948862
ESCAP	0.0946143
"Hu Jintao"	0.0939324
CMC	0.0935146
"Board of Investment"	0.0932141
"All-China Journalists Association"	0.092946
"Eighth National Committee"	0.0927776
"China Federation"	0.0922153
"Human Rights Commission"	0.0917275
"Home Ministry"	0.0909573
"Revolutionary Command Council"	0.0908329
"Ministry of Science"	0.0894604
"Party Central Committee"	0.0888655
"Culture Ministry"	0.0888285
"Taiwan Affairs Office"	0.0878313
"Ministry of Foreign Trade and Economic Cooperation"	0.0869024
"Ministry of Culture"	0.0865323
"Ministry of Trade"	0.0859633
"Ding Guangen"	0.0848962
"Ninth NPC"	0.0841612
Presidium	0.0838525
"general secretary"	0.0836511
"National Tourism Administration"	0.0825808
"Preparatory Committee"	0.0821177
"Ninth National Committee"	0.0816217
"State Economic and Trade Commission"	0.0814396
Procuratorate	0.0812066
"Commerce Ministry"	0.0811743
"Ministry of Internal Trade"	0.0808469
"China Association for Science"	0.0804699
"Chinese Communist Party"	0.0802809
"NPC Standing Committee"	0.0801436
"Ministry of Posts"	0.0800106
"China Youth Development Foundation"	0.0799806
"China National Tourism Administration"	0.079366
"Ministry of Labor"	0.0790041
"standing committee"	0.0789603
"Beijing Municipal Government"	0.0788085
"Academy of Motion Picture Arts"	0.0779066
Secretariat	0.0776626
"Education Ministry"	0.0774049
"Executive Committee"	0.076239
"Information Office"	0.0760193
"Ministry of Education"	0.0759415
"Bangladesh Bank"	0.0758135
"Ministry of Justice"	0.0755724
"Shanghai Municipal Government"	0.0751663
"PLO Executive Committee"	0.0750143
CPC	0.0748272
"Congress Standing Committee"	0.074673
"Eighth NPC"	0.0744935
"Central Organ"	0.0743976
plenum	0.0741247
"Department of Trade and Industry"	0.0739945
"National People's Congress"	0.073934
"Chinese Olympic Committee"	0.0733177
"Economic Commission for Africa"	0.0731361
"National Executive Committee"	0.0730726
"Association for Friendship"	0.073038
"State Administration of Cultural Heritage"	0.0727993
"Department of Finance"	0.0725452
MPLA	0.072537
"Presidential Office"	0.0724724
"Ministry of Foreign Trade"	0.072343
"Chinese People's Political Consultative Conference"	0.0722932
"Provisional Ruling Council"	0.072187
"Independent National Electoral Commission"	0.0721257
"Ministry of Trade and Industry"	0.0719836
"Development Research Center"	0.0719334
"China Council"	0.0718803
"Supreme Council"	0.0717971
"State Law and Order Restoration Council"	0.0716506
"Ministry of Finance"	0.0712525
"European Council"	0.0708318
"Secretary General Boutros Boutros-Ghali"	0.0705217
"Hong Kong Federation"	0.0701145
"Political Consultative Conference"	0.0699772
"Prime Minister Kamal El-Ganzouri"	0.0698653
"State Bank of Pakistan"	0.0697538
"Jiang Zemin"	0.0697472
"Council of Ministers"	0.0696733
"Department of State"	0.0696431
"Russian Security Council"	0.0693391
"Ministry of Health"	0.0693199
"Hong Kong Tourist Association"	0.0692843
"National People"	0.0692601
"Wei Jianxing"	0.0691328
"Justice Ministry"	0.0684566
"Inter-Parliamentary Union"	0.0684318
"Ministry of Information Industry"	0.068288
"Executive Board"	0.0672965
"Department of Health"	0.0665122
"US State Department"	0.0661776
"National Convention"	0.0659248
"Commission on Presidential Debates"	0.0654136
"Hong Kong Monetary Authority"	0.0652803
"Ministry of Planning"	0.0651956
"Red Cross Society"	0.0650693
SEPA	0.0647197
"Department of Foreign Affairs"	0.064716
"Ministry of Public Health"	0.0647041
"French Foreign Ministry"	0.0645344
"Health Ministry"	0.0641871
"CPC National Congress"	0.0640789
"United Nations Conference on Trade and Development"	0.0640681
"U.S. Commerce Department"	0.0639753
CCPIT	0.0638788
"Foreign Affairs Committee"	0.0636077
"Central Council"	0.0632606
MOFTEC	0.0631656
"State Seismological Bureau"	0.0630224
"Ministry of International Trade and Industry"	0.0627922
"National Council"	0.0625126
"Communist Youth League of China"	0.062018
"State Administration of Foreign Exchange"	0.0620093
"Thai Foreign Ministry"	0.0619628
"State Education Commission"	0.0618586
"Chinese State Council"	0.0616267
"Ministry of Railways"	0.0615942
"planning commission"	0.0615796
"State Planning Commission"	0.0614896
"Labor Ministry"	0.0611989
"Department of Commerce"	0.0611675
"State Flood Control"	0.0611054
"Khin Nyunt"	0.0610397
"Deng Xiaoping Theory"	0.0608937
"U.S. Treasury Department"	0.0608743
"China Central Committee"	0.0608261
"Asia Society"	0.0605757
"Foreign Relations"	0.0605569
"U.S. Defense Department"	0.0605438
"National Electoral Commission of Nigeria"	0.0604544
"Chinese Communist Party (CPC) Central Committee"	0.0603721
"Ministry of Civil Affairs"	0.0601403
"EU Commission"	0.0598227
SDPC	0.0597514
"State Statistical Bureau"	0.0595528
"Agriculture Ministry"	0.0595029
"Macao Government"	0.0592018
"Xinhua News Agency"	0.0591479
"General Political Department"	0.059028
"State Council"	0.0589226
JMC	0.0588573
"International Society"	0.0588008
"Ministry of Land"	0.0586392
"State Administration of Taxation"	0.0583943
"National League for Democracy"	0.0583484
"Huang Ju"	0.0581313
"United Nations Educational, Scientific and Cultural Organization"	0.0581135
"Ministry of Economy"	0.0580568
ECA	0.0580537
CSRC	0.0579251
"Palestine National Council"	0.057871
"Ministry of Tourism"	0.0578474
"International Labor Organization"	0.0576017
"Palestinian Legislative Council"	0.0575731
"National Education Association"	0.0574587
"National Geographic Society"	0.0573808
"United Nations Industrial Development Organization"	0.057259
"Department of Housing and Urban Development"	0.0570058
"Chinese Society"	0.0569602
))
("Central Committee" (desc 17253.6) (sims
"CPC Central Committee"	0.310427
"Chinese Communist Party Central Committee"	0.276954
"Central Commission for Discipline Inspection"	0.23684
"Communist Party of China"	0.231073
"Party Central Committee"	0.209942
"China Central Committee"	0.188165
"Beijing Municipal Committee"	0.185545
"CPPCC National Committee"	0.165054
"Chinese Communist Party (CPC) Central Committee"	0.164239
"National Committee"	0.162604
"NPC Standing Committee"	0.161411
"Political Bureau"	0.16082
"National Congress"	0.15924
"Central Military Commission"	0.158966
"State Council"	0.1579
"standing committee"	0.156069
Presidium	0.149001
"Chinese Communist Party"	0.148227
"United Front Work Department"	0.146663
"Central Council"	0.143691
Politburo	0.138927
"Communist Party"	0.13766
"Ministry of Culture"	0.135083
"National People's Congress"	0.134858
"Preparatory Committee"	0.134792
"Congress (NPC) Standing Committee"	0.13111
"Beijing Municipal Government"	0.130962
"Organization Department"	0.130357
"Chinese People's Political Consultative Conference"	0.129868
"Political Consultative Conference"	0.128703
"All-China Federation"	0.126924
"Executive Committee"	0.12654
"China Association for Science"	0.126451
CPC	0.126267
"general secretary"	0.125763
"Congress Standing Committee"	0.123906
committee	0.120429
"municipal government"	0.117787
"Ministry of Science"	0.114339
"Council of Ministers"	0.113833
"State Education Commission"	0.112677
"State Peace and Development Council"	0.111378
"Palestinian Council"	0.108625
"Ministry of Education"	0.107579
"Taiwan Affairs Office"	0.10739
CMC	0.106493
"All-China Youth Federation"	0.105457
"Ministry of Foreign Trade and Economic Cooperation"	0.103164
"executive council"	0.102766
"Ministry of Personnel"	0.102393
"Publicity Department"	0.100731
"National Executive Committee"	0.10048
"China Council"	0.0997719
"State Economic and Trade Commission"	0.098852
NPC	0.0983551
PNC	0.0969907
"National Tourism Administration"	0.0969404
"World Economic Forum"	0.0963644
"All-China Journalists Association"	0.0958159
"Propaganda Department"	0.0956993
Council	0.0951488
"Hong Kong Federation"	0.0946852
"Arab League"	0.0942541
"South Pacific Forum"	0.0935787
"Congress Working Committee"	0.093033
"Israeli Cabinet"	0.0928937
plenum	0.0927778
"Palestinian National Council"	0.0920932
"Ministry of Foreign Trade"	0.0920874
"Ministry of Health"	0.0907694
"Ministry of Civil Affairs"	0.0903706
"Ministry of Public Security"	0.0902199
"North Atlantic Council"	0.0901232
ACFTU	0.0900138
"National Council"	0.0898947
"Jiang Zemin"	0.0893712
"Palestine National Council"	0.0888848
"State Administration of Cultural Heritage"	0.0885462
"State Science and Technology Commission"	0.0885271
"Chinese Academy of Sciences"	0.0884998
"Arab Parliamentary Union"	0.08806
"PLO Executive Committee"	0.0878678
"Shanghai Municipal Government"	0.087792
Congress	0.0877143
Vice-Premier	0.0870691
"Great Hural"	0.0867485
"State Planning Commission"	0.0866853
"China National Tourism Administration"	0.0866226
"World Health Assembly"	0.0863449
"Vietnamese Communist Party"	0.0861864
"Ministry of Agriculture"	0.0856449
federation	0.0852916
"Ministry of Finance"	0.0851455
"Revolutionary Command Council"	0.0849139
ESCAP	0.084303
"Li Peng"	0.0842389
"Ministry of Justice"	0.0840402
"CPC Central Commission for Discipline Inspection"	0.0839547
"Ninth CPPCC National Committee"	0.0831609
"Ministry of Labor"	0.0829415
"Joint Liaison Group"	0.0827362
"military commission"	0.082456
"Chinese government"	0.0821703
Secretariat	0.0819452
"National Party Congress"	0.0810146
"European Commission"	0.0806372
"European Council"	0.0805687
"Information Office"	0.0803983
"Ministry of Forestry"	0.0801828
"State Environmental Protection Administration"	0.0798778
MPR	0.0798667
"Chinese Olympic Committee"	0.0798296
"State Duma"	0.079171
NSC	0.0784954
"Li Ruihuan"	0.0782237
"Plenary Session"	0.0782063
"Ministry of Information Industry"	0.0781438
"General Council"	0.0780864
ACWF	0.0780852
"Association for Friendship"	0.0776559
"board of directors"	0.0775029
"China Youth Development Foundation"	0.0774057
"Board of Governors"	0.0773479
"general assembly"	0.0773244
"Organization of African Unity"	0.0771517
"International Department"	0.0769536
"Federal Open Market Committee"	0.0767815
"Palestinian Central Council"	0.0764922
CEC	0.0763433
"United Nations Security Council"	0.0761912
"Inter-Parliamentary Union"	0.0760108
CPPCC	0.0758724
CPV	0.0757793
"Foreign Affairs Committee"	0.0754805
"CPC National Congress"	0.0753281
"Ministry of Construction"	0.0751394
CSRC	0.07511
"Organization of Petroleum Exporting Countries"	0.0750447
"National Assembly"	0.0750123
"Phan Van Khai"	0.0748759
"planning commission"	0.0742246
"China Securities Regulatory Commission"	0.0741115
Knesset	0.0741096
"Provisional Urban Council"	0.0740149
"Selection Committee"	0.0738491
"International Federation"	0.0738104
"Provisional Legislative Council"	0.0736642
Secretary-General	0.0733869
OAU	0.0733675
"Provisional Ruling Council"	0.07333
"State Development Planning Commission"	0.0730062
"China Federation"	0.0726675
"Kofi Annan"	0.072651
MPLA	0.0726448
"Ninth NPC"	0.0725927
"First Session"	0.0725168
plc	0.0723516
"World Health Organization"	0.0723281
"Dai Bingguo"	0.0722802
CWC	0.0722375
el-Ganzouri	0.071608
"Human Rights Commission"	0.0714879
"Party School"	0.0714344
"State Forestry Administration"	0.0714129
"trade union"	0.0712866
"Socialist Party"	0.0712
"Eighth National Committee"	0.0710896
commission	0.0710379
"Chinese Foreign Ministry"	0.0707843
WEF	0.0707697
"Red Cross Society"	0.0707388
association	0.07069
CAS	0.0706591
"Hong Kong Trade Development Council"	0.0704723
"Ninth National Committee"	0.0704534
Premier	0.0704207
"Supreme Council"	0.0702991
ministry	0.070235
"Ministry of Posts"	0.0702097
"interim committee"	0.0699248
"National Security Council"	0.0698058
"Russian Security Council"	0.0693728
"United Nations Educational, Scientific and Cultural Organization"	0.0693009
"Chinese Academy of Engineering"	0.0692497
"Bank of China"	0.069204
"European Parliament"	0.069146
"General Political Department"	0.0688812
"U.N. Security Council"	0.0688731
"general staff"	0.0685193
Assembly	0.0681757
"Ding Guangen"	0.0679912
"Security Council"	0.0676925
"Ministry of Communications"	0.0676671
"Contact Group"	0.0674155
"Southern African Development Community"	0.0674042
"United Nations Industrial Development Organization"	0.0673733
"Eighth NPC"	0.0673441
delegation	0.0671858
"Commission on Human Rights"	0.0671468
legislature	0.0670981
))
("Central Council" (desc 1806.72) (sims
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"Executive Committee"	0.306872
"Palestinian Central Council"	0.266724
"National Executive Committee"	0.197694
"Palestinian National Council"	0.190903
"Palestine National Council"	0.185316
"Jerusalem Committee"	0.173394
"Congress Working Committee"	0.168659
PNC	0.164052
"General Council"	0.156339
"North Atlantic Council"	0.156007
"Federal Open Market Committee"	0.147289
"Central Committee"	0.143691
"Israeli Knesset"	0.142364
"Palestinian Council"	0.140881
"Provisional Ruling Council"	0.14072
"Palestinian Legislative Council"	0.140067
"Commonwealth Ministerial Action Group"	0.139325
"World Health Assembly"	0.139128
"Executive Board"	0.136754
"Israeli Cabinet"	0.131829
"interim committee"	0.130743
"CPC Central Commission for Discipline Inspection"	0.121115
"Supreme Soviet"	0.119426
"Central Organ"	0.118144
"National Council"	0.116866
"Eighth National Committee"	0.115828
"Joint Military Commission"	0.115322
"Arab Parliamentary Union"	0.114814
"Congress (NPC) Standing Committee"	0.113739
MPR	0.112897
"Human Rights Commission"	0.109438
"PLO Executive Committee"	0.10885
"Consultative Assembly"	0.108534
"Russian Security Council"	0.104544
"State Peace and Development Council"	0.103089
"executive council"	0.102044
PCC	0.101483
"Constitutional Council"	0.100794
JMC	0.099849
"South Pacific Forum"	0.0993653
"military commission"	0.0974756
"Supreme Council"	0.0959842
"Federation Council"	0.0926794
"General Committee"	0.0922155
NSC	0.092028
"U.N. Human Rights Commission"	0.0913288
"steering committee"	0.0894366
"Inter-Governmental Authority on Development"	0.089072
"Constitutional Assembly"	0.0854323
Presidium	0.0852748
"Congressional Black Caucus"	0.0848682
"National Security Council"	0.0843177
"International Society"	0.0841638
"Monetary Policy Committee"	0.0840849
"Russian State Duma"	0.0833965
"Federal Council"	0.0830496
"Russian Duma"	0.0821877
"Ethics Commission"	0.0817236
sub-commission	0.0812905
"Great Hural"	0.0811122
"Inter-Parliamentary Union"	0.0803267
"Kosovo Verification Mission"	0.079991
"Business Council"	0.0799293
"Council of Ministers"	0.0795575
CWC	0.0785687
SPDC	0.078335
"Senate Armed Services Committee"	0.0783113
"governing board"	0.0782267
"European Council"	0.0776515
"Rules Committee"	0.0776262
"American Psychiatric Association"	0.0761017
"American Association"	0.0760201
"electoral college"	0.0758496
"finance committee"	0.0750424
"House International Relations Committee"	0.0746416
"Revolutionary Command Council"	0.0745645
"Consultative Group"	0.0745566
"Economic and Social Council"	0.0744998
IGC	0.0744035
"Council of State"	0.0741187
"standing committee"	0.0738744
"Texas Legislature"	0.0737587
"Group of @@"	0.0735859
"United Nations Conference"	0.0731945
"National Committee"	0.0730494
JLG	0.071495
"Ninth CPPCC National Committee"	0.0713407
"Selection Committee"	0.0710511
"Congress Standing Committee"	0.0708334
"Northern Ireland Assembly"	0.0701004
"Non-Aligned Movement"	0.0697647
"Joint Commission"	0.0696888
PML	0.0694382
"legislative assembly"	0.068845
"Beijing Municipal Committee"	0.068733
"Election Committee"	0.067223
IEC	0.0671673
"American Psychological Association"	0.0665466
"Organization of Islamic Conference"	0.0664947
"State Law and Order Restoration Council"	0.0664564
"Nevada State Athletic Commission"	0.0659687
"Housing Authority"	0.065879
taskforce	0.0658599
"ethics committee"	0.0655606
"Provisional Urban Council"	0.0653588
"Alcoholics Anonymous"	0.0652926
"Sanctions Committee"	0.0651114
China-U.S.	0.0649041
"conference committee"	0.0648996
"board of trustees"	0.0647516
Knesset	0.064704
"Parliamentary Assembly"	0.0647037
"Free Democratic Party"	0.0641235
"Independent National Electoral Commission"	0.0640458
Politburo	0.0638309
"House Budget Committee"	0.0635328
"Central Commission for Discipline Inspection"	0.0632606
"Ninth National Committee"	0.0629067
AMM	0.0622724
"Senate Banking Committee"	0.062261
Fatah	0.0622568
"de Charette"	0.0622295
"Organizing Committee"	0.0621607
"Board of Governors"	0.0619422
"World Bank Group"	0.0619118
"National Party Congress"	0.061685
"Democratic Leadership Council"	0.0613672
"United Nations Conference on Trade and Development"	0.0609886
"Foreign Relations Committee"	0.0607769
"Secretary General"	0.06073
"Special Session"	0.0603358
"U.N. Conference"	0.0602516
"Senate Finance Committee"	0.0599238
"Banking Committee"	0.0598222
"Sino-British Joint Liaison Group"	0.0597698
"Economic Community"	0.0597605
"State Duma"	0.0596848
"China Association for Science"	0.0593247
DPR	0.0592683
CNTA	0.0590262
"Paris Club"	0.0589257
"Republican National Committee"	0.0586567
"core group"	0.0586309
CMAG	0.058419
UUP	0.058417
"Parades Commission"	0.058382
"Nevada Athletic Commission"	0.0583708
"World Economic Forum"	0.057947
"National People"	0.0578364
"NPC Standing Committee"	0.0577445
"Ways and Means Committee"	0.057008
"Olympic Council of Asia"	0.0569614
Russian-U.S.	0.0567958
"work group"	0.056699
"Securities Industry Association"	0.0566467
"Virtue Party"	0.0564868
"World Tourism Organization"	0.0564241
"search committee"	0.0563126
"chief of state"	0.055669
"National Economic Council"	0.0553915
"World Petroleum Congress"	0.0553689
NAM	0.0553164
ARF	0.055315
"Rio Group"	0.055297
"Lower House"	0.0552891
KPU	0.0550747
"International Amateur Athletic Federation"	0.0550603
OCA	0.0549104
"People's Democratic Party"	0.0549101
ESCAP	0.054436
"Damascus Declaration"	0.0544082
"Secretary General Esmat Abdul-Meguid"	0.0543422
"Organization of Petroleum Exporting Countries"	0.054337
"Federal Reserve Board"	0.054135
"Islamic Development Bank"	0.0541287
"Commission on Human Rights"	0.0538217
"National Convention"	0.0537923
"Organization for Economic Cooperation and Development"	0.0535183
"Public Service Commission"	0.0534144
"Jeremy Greenstock"	0.0533979
"advisory board"	0.0533336
AmCham	0.0531418
G-@@	0.0526509
KPA	0.0525437
"Atomic Energy Commission"	0.0524406
"House Appropriations Committee"	0.0524225
"Commission on Elections"	0.0521144
Majlis	0.051991
"Hong Kong Federation"	0.051926
"British Parliament"	0.051907
AEC	0.0517501
"Russian Parliament"	0.0517275
UCI	0.0517046
"Secretary- General"	0.0516389
"Economic Community of West African States"	0.051195
CMC	0.0509617
"board of regents"	0.0509354
"Organisation of African Unity"	0.0507629
"National Electoral Commission of Nigeria"	0.0505733
))
("Central Division" (desc 2106.73) (sims
"NL Central"	0.343893
"National League West"	0.327076
"AL Central"	0.307677
"Atlantic Division"	0.298869
"NFC West"	0.289595
"National League Central"	0.28866
"AFC West"	0.286331
"American League West"	0.282601
"NL East"	0.280879
"AL East"	0.268584
"AFC Central"	0.267927
"AL West"	0.263402
"Eastern Division"	0.262637
"Pacific Division"	0.252927
"AFC East"	0.251457
"National League East"	0.247819
"NFC East"	0.246756
"NL West"	0.242299
"NFC Central"	0.242196
"American League East"	0.238328
"SEC East"	0.192666
"Big Sky Conference"	0.192511
"Northeast Division"	0.178069
"Eastern Conference"	0.177868
"Western Conference"	0.174652
A.L.	0.152264
Pacific-@@	0.146705
"Western Athletic Conference"	0.141384
"Italian League"	0.138477
"Big Sky"	0.13738
AFC	0.134144
NFC	0.133784
"Big West"	0.133506
"Pan Ams"	0.133404
"Division I-AA"	0.132237
"first cup"	0.130033
"Atlantic Coast Conference"	0.127407
Pac-@@	0.126079
WCC	0.125005
"junior lightweight"	0.121832
"International League"	0.120472
"World Championship"	0.120342
Bundesliga	0.120264
"Conference USA"	0.119777
cruiserweight	0.117953
"South Regional"	0.116909
"U.S. Amateur"	0.115624
"junior middleweight"	0.114963
"Southeastern Conference"	0.11493
ACC	0.11471
NL	0.113637
WBO	0.112943
"Grand National"	0.111334
"Little League World Series"	0.110439
"Southwest Conference"	0.109715
"Funny Car"	0.109509
EuroLeague	0.109477
"National League"	0.109197
"Big @@"	0.108773
"Busch Grand National"	0.108086
"Japan Open"	0.106241
"Western Open"	0.105473
"United States Open"	0.105262
CWS	0.103281
"European Cup"	0.102851
"U.S. Senior Open"	0.100869
"Big East"	0.100286
"West Regional"	0.0999701
"MLS Cup"	0.0994602
"League Cup"	0.0984362
"American Football League"	0.0981999
flyweight	0.097725
"junior welterweight"	0.0963833
"Top Fuel"	0.0954327
"light heavyweight"	0.095329
"Pacific Coast League"	0.0935369
Super-G	0.0930493
"American League"	0.0922153
"Pan Pacific"	0.0918847
"London Marathon"	0.0917724
"Juvenile Fillies"	0.0897133
"Ivy League"	0.0887151
"European Champions Cup"	0.0886222
WAC	0.087869
"first nine"	0.0878486
"World Boxing Council"	0.08683
"Hong Kong Open"	0.0858135
CAA	0.0850901
"NASCAR Winston Cup"	0.0840499
"Busch Series"	0.0840489
constructor	0.0834237
"Premier League"	0.0834173
"Midwest Regional"	0.0830354
"F.A Cup"	0.0830001
"Winston Cup"	0.0822795
Busch	0.0819199
Iditarod	0.0812927
slalom	0.08123
backstroke	0.0808892
al	0.0807063
"spelling bee"	0.0803753
"Fed Cup"	0.0800337
distaff	0.0799512
"International Boxing Federation"	0.0793038
"Oak Tree"	0.0786927
"Solheim Cup"	0.0782468
decathlon	0.0778349
"Hopman Cup"	0.0776609
"Boston Marathon"	0.0770981
AFL	0.0770859
featherweight	0.0769749
nine-time	0.07683
"Division @"	0.0766928
"FA Cup"	0.0764032
"Uber Cup"	0.0762978
Heptathlon	0.0755616
WBA	0.0753457
"American Hockey League"	0.075184
Lipton	0.0750202
"Federation Cup"	0.0745983
"World Boxing Association"	0.0745016
"Maurier Open"	0.0743259
"Indy Racing League"	0.0742887
"National Invitation Tournament"	0.0736539
"Copa America"	0.0733892
"Class AAA"	0.0733524
"shot put"	0.072946
WBC	0.0729376
"US Open"	0.0729256
"Tour de France"	0.0723742
fide	0.0717441
snooker	0.0715278
"College World Series"	0.0711208
"Italian Cup"	0.0708465
bantamweight	0.0707642
"batting order"	0.0701752
"World League"	0.0699986
IRL	0.0699561
ml	0.0698326
"hammer throw"	0.0696386
"New York City Marathon"	0.0692741
"ski jumping"	0.0692584
"Stanley Cup"	0.0692159
"Group A."	0.0691858
Ironman	0.0682201
"Asian Cup"	0.0681041
freestyle	0.0678791
pentathlon	0.0674637
"South American"	0.067299
"Paris Open"	0.0669682
"Home Run Derby"	0.0667836
"Cy Young Award"	0.0667826
"Cup Winners Cup"	0.0663838
eight-time	0.0663593
Futurity	0.0662594
"Sudirman Cup"	0.0657142
six-time	0.0655826
BCS	0.0655
nine-point	0.0654639
"Nations Cup"	0.0654546
C-USA	0.0653294
"Group B."	0.0645209
slam-dunk	0.0645014
SEC	0.0644647
"Gold Cup"	0.0643062
"Division Series"	0.0642136
two-point	0.0640616
nit	0.0640483
"Champions Cup"	0.0639506
"next three"	0.0639445
welterweight	0.0635678
Criterium	0.0632506
hardcourt	0.0631783
"Canadian Alliance"	0.062532
"second tour"	0.0621564
"Emmy Award"	0.0621336
"Daytona @@@"	0.0619956
seven-point	0.0619861
"won eight"	0.0619191
"Pan Am Games"	0.0616079
"won nine"	0.0615583
"Legg Mason"	0.0615068
luge	0.0610242
one-point	0.0610002
"Thomas Cup"	0.0609094
bodybuilding	0.0609
"Santa Anita Handicap"	0.0608552
"Dunhill Cup"	0.060597
breaststroke	0.0605678
Brickyard	0.0605061
six-point	0.0604819
"Santa Anita Derby"	0.0600078
"high jump"	0.0599521
"less than four months"	0.0593152
"Canadian Open"	0.0590392
"British Open"	0.058887
"Republican Senate"	0.0588821
"Confederations Cup"	0.0587534
"Cup Juvenile"	0.0587474
Preakness	0.0585939
))
("Central Election Commission" (desc 1669.64) (sims
"Electoral Commission"	0.224981
"Australian Bureau of Statistics"	0.200259
"Independent Electoral Commission"	0.195401
"National Electoral Commission of Nigeria"	0.174502
"U.S. Defense Department"	0.169961
INEC	0.160345
"Economic Planning Agency"	0.156016
"Central Bureau of Statistics"	0.155037
"British Foreign Office"	0.152862
"Interior Ministry"	0.14932
"election commission"	0.145115
"House Budget Committee"	0.144939
"Hong Kong Monetary Authority"	0.142865
"Ministry of Trade and Industry"	0.136245
CEC	0.130656
"Nuclear Regulatory Commission"	0.128988
"National Bureau of Statistics"	0.127205
"Russian Defense Ministry"	0.126086
"Tourism Authority of Thailand"	0.126058
"Independent National Electoral Commission"	0.125882
"Public Service Commission"	0.125606
"Federal Security Service"	0.124979
"Philippine Central Bank"	0.121359
"National Election Committee"	0.120978
"National Economic Council"	0.120136
"State Statistics Bureau"	0.119177
KPU	0.118794
"House International Relations Committee"	0.118618
"Defense Agency"	0.11822
"Universal Pictures"	0.117752
"Senate Governmental Affairs Committee"	0.117574
"International Badminton Federation"	0.117161
"Senate Budget Committee"	0.117103
"Rules Committee"	0.117018
"General Council"	0.116643
"House Banking Committee"	0.116244
"Defense Ministry"	0.115587
"Northern Fleet"	0.114033
IEC	0.114022
"Justice Ministry"	0.114007
"Russian Security Council"	0.11333
"IG Metall"	0.112644
"planning commission"	0.112119
"Olympic Committee"	0.111773
"Commerce Ministry"	0.111493
"House Commerce Committee"	0.110907
"Russian Foreign Ministry"	0.110779
"Mission Control"	0.110717
"U.S. Export-Import Bank"	0.110542
NSC	0.110434
"Senate Banking Committee"	0.110054
"Hong Kong Tourist Association"	0.109591
"Health Ministry"	0.109335
"Bank of Korea"	0.109245
"Israeli Foreign Ministry"	0.108865
"U.N. World Food Program"	0.108824
"Department of Foreign Affairs"	0.108703
"Civil Aviation Authority"	0.108125
"Home Ministry"	0.107476
"Airport Authority"	0.106702
NRC	0.106002
"Football Association"	0.105827
"Commerce Committee"	0.105632
CSRC	0.105551
"Senate Commerce Committee"	0.10551
"Senate Appropriations Committee"	0.105186
"Labor office"	0.104676
"Russian Communist Party"	0.104452
HKTA	0.104369
"Finance Ministry"	0.104301
"Census and Statistics Department"	0.103855
"U.S. Soccer Federation"	0.10384
"Commission on Elections"	0.103556
"Labor Ministry"	0.103482
"Ministry of International Trade and Industry"	0.103419
CIRC	0.103077
"Federation Council"	0.102309
"U.S. State Department"	0.102191
"National Defense Commission"	0.102018
"Banking Committee"	0.101396
PSC	0.100693
"National Transportation Safety Board"	0.100609
"Department of Finance"	0.100115
"Ministry of Trade"	0.0996374
"World Jewish Congress"	0.099595
UCI	0.0995494
DAP	0.098384
"Agriculture Ministry"	0.0977723
"International Ski Federation"	0.0975688
"Environmental Protection Agency"	0.0966967
"Foreign Relations Committee"	0.0962027
"Bank for International Settlements"	0.09612
"Constitutional Court"	0.096002
"general staff"	0.0958679
"Turkish Foreign Ministry"	0.0957458
"Ways and Means Committee"	0.0947504
"Senate Armed Services Committee"	0.0943548
"Scotland Yard"	0.0941692
"Statistics Canada"	0.0941176
BOI	0.0940765
"Buckingham Palace"	0.0940353
"Consumer Product Safety Commission"	0.0939923
"Bank of Israel"	0.0939782
"Ministry of Defense"	0.0932429
"Ministry of Foreign Trade and Economic Cooperation"	0.0928591
"China National Tourism Administration"	0.0928381
"Supreme Soviet"	0.0927397
"House Appropriations Committee"	0.0926681
"U.S. Immigration and Naturalization Service"	0.0926341
SFC	0.0926224
"Federal Trade Commission"	0.092344
Comelec	0.0909231
"U.S. Commerce Department"	0.0909187
"Nevada Athletic Commission"	0.0906575
Aventajado	0.0902467
"Jack Straw"	0.0897841
RNC	0.0896998
"Atomic Energy Commission"	0.0895368
"South African National Defense Force"	0.0892658
"Russian Space Agency"	0.0890857
"Foreign Ministry"	0.0889852
SNCF	0.0884661
"Times Co."	0.0880609
"Senate Finance Committee"	0.0879751
"Supreme Council"	0.0878872
"Senate Judiciary Committee"	0.0874952
"Russian Duma"	0.0874776
"State Statistical Bureau"	0.0874648
"International Tennis Federation"	0.0873192
"Israeli Defense Forces"	0.0871142
HKMA	0.0867888
"Federal Council"	0.0867512
"English Football Association"	0.0866001
"Russian State Duma"	0.0865117
"Southern Command"	0.086299
"Senate Foreign Relations Committee"	0.0861503
"Department of Health"	0.0857819
"Pascoal Mocumbi"	0.0853427
"U.S. Agriculture Department"	0.0852516
"National Association of Securities Dealers"	0.0850136
"National Republican Congressional Committee"	0.084988
"General Security Service"	0.0847495
SAirGroup	0.0847032
PB	0.0846612
Totalfina	0.0842321
"Board of Investment"	0.0841874
"French Foreign Ministry"	0.0841278
"Bank Negara"	0.0836
Ruehe	0.0833723
MPR	0.0833474
"Republican National Committee"	0.0833175
"Federal Communications Commission"	0.0831117
"United Nations Population Fund"	0.0830746
"Straits Exchange Foundation"	0.0828304
"British government"	0.0827112
"Democratic Congressional Campaign Committee"	0.0825779
"EU Commission"	0.0824572
"National Police"	0.0824206
CPSC	0.0822536
UNAMET	0.0820987
IDB	0.0819341
"Orthodox Church"	0.0818601
"Australian Olympic Committee"	0.081478
CNTA	0.0814184
"Orlando Mercado"	0.0813683
"State Bank of Pakistan"	0.0813596
SANDF	0.0813201
NTSB	0.0811032
OCA	0.0808379
"Jenny Shipley"	0.0807107
"Ministry of Public Security"	0.0805019
"Appropriations Committee"	0.0804447
"National Highway Traffic Safety Administration"	0.0803676
"European Central Bank"	0.0803126
"General Administration of Customs"	0.0800645
LIFFE	0.0800065
Okada	0.0799344
"International Finance Corporation"	0.0799085
UNMOVIC	0.0795261
"Ethics Commission"	0.0795229
"national bank"	0.0794433
"Securities Industry Association"	0.0794075
"Ministry of Finance"	0.0793249
ITC	0.0791767
"Ministry of Agriculture"	0.079085
"Royal Ulster Constabulary"	0.0789231
JMC	0.0786832
KONI	0.0785572
"U.S. Federal Reserve"	0.078379
ISTAT	0.0781007
Harmoko	0.0780002
FIA	0.0778658
"Executive Board"	0.0778549
ICA	0.0778184
"Securities and Exchange Commission"	0.0778054
BOJ	0.0777446
"Ministry of Economy"	0.0777029
"Commerce Department"	0.0776841
"Department of Public Safety"	0.0776418
"Iranian Foreign Ministry"	0.0776281
))
("Central Europe" (desc 6179.39) (sims
"Eastern Europe"	0.169808
"East Europe"	0.143073
"Western Europe"	0.126146
"West Asia"	0.120722
"Southeast Asia"	0.104699
"Latin America"	0.100934
"North Africa"	0.0988366
"East Asia"	0.0925695
"South America"	0.0906599
"Far East"	0.0894217
"Middle East"	0.0892602
Caucasus	0.0869711
"Southern Africa"	0.0826331
"Central Asia"	0.0817476
Oceania	0.0762247
"South Asia"	0.0748588
"West Africa"	0.0735044
"Persian Gulf"	0.0727394
"Central America"	0.0725393
"Commonwealth of Independent States"	0.0704476
"South Pacific"	0.0688433
hemisphere	0.0669311
Asia-Pacific	0.0659386
"Northeast Asia"	0.064064
Mideast	0.0636994
"North America"	0.0635293
Mediterranean	0.0620494
"South East Asia"	0.0613764
Caribbean	0.0597968
"Asian nation"	0.0597817
subcontinent	0.0596175
"European country"	0.0579802
Korea	0.057145
"Pacific Rim"	0.0565755
"Soviet Union"	0.0557271
Balkans	0.0556426
"Scandinavian country"	0.0549406
"Asia Pacific"	0.0545282
"Central Africa"	0.05416
Scandinavia	0.0536868
"Near East"	0.0529046
"Unites States"	0.0528181
Gulf	0.0516992
Czechoslovakia	0.0497353
pacific	0.0496068
"Third World"	0.0495421
Eurasia	0.0491274
"Asia-Pacific Region"	0.0477725
"Arabian Peninsula"	0.0470607
"western hemisphere"	0.0460261
"United Kingdom"	0.0458639
Ci	0.0458363
Rhodesia	0.0451871
"European nation"	0.0421884
"European Community"	0.0415421
Burma	0.0414498
"Pacific Northwest"	0.04027
"southern hemisphere"	0.0400782
))
("Central Florida" (desc 4233.59) (sims
"Mississippi State"	0.124709
Clemson	0.0932694
"Wake Forest"	0.09159
"Appalachian State"	0.0894231
"Oklahoma State"	0.0891744
"Ball State"	0.0889665
Vanderbilt	0.0886634
Villanova	0.0878774
"Oregon State"	0.086026
"Virginia Tech"	0.0837051
"Sea World"	0.0832389
"Arkansas State"	0.0829575
"New Mexico State"	0.0822844
"Washington State"	0.0815308
Lehigh	0.0802562
Purdue	0.0800217
Sooners	0.0795413
"Kansas State"	0.0789018
"North Carolina State"	0.0786726
"San Diego Chargers"	0.0780195
"South Florida"	0.0776314
"Louisiana Tech"	0.0772578
LSU	0.0769537
"Iowa State"	0.0768476
Kentucky	0.0766891
"Utah State"	0.0765829
"San Jose State"	0.0761691
"Penn State"	0.076137
Tulane	0.0753662
Alabama	0.0752309
Rutgers	0.0745
"Seton Hall"	0.0744935
"Florida State"	0.0742475
Nebraska	0.0741346
"Fresno State"	0.0739308
Rattler	0.0738278
"East Carolina"	0.0737807
"Brigham Young"	0.073267
"Ohio State"	0.0728159
Auburn	0.0727631
"North Carolina"	0.0727305
"Notre Dame"	0.072202
"Boston College"	0.0720797
Hofstra	0.0713609
Oregon	0.0712814
"Disney World"	0.071252
Oklahoma	0.0706223
UNLV	0.0705626
"Dallas Burn"	0.0703902
"Miami Fusion"	0.0703811
"Georgia Tech"	0.0698747
Aggies	0.0697251
"Fighting Irish"	0.0695876
UCLA	0.0691474
Baylor	0.0691237
BYU	0.0688775
Bucs	0.0688627
UNT	0.0688229
DePaul	0.0687472
"North Texas"	0.0686932
"Crimson Tide"	0.0686893
"Southern Mississippi"	0.0686321
northwestern	0.0685683
UAB	0.0685061
"Texas Tech"	0.0682363
"Georgia Southern"	0.0682258
"Catalina Cristea"	0.0682233
"Tennessee Titans"	0.0679087
Mississippi	0.0678831
MetroStars	0.0677913
"Southern California"	0.067694
Syracuse	0.0675719
"New York Liberty"	0.0675185
Gators	0.0675004
"Minnesota Vikings"	0.0674756
"Arizona State"	0.0670343
"Miami Dolphins"	0.0663776
"Florida Panhandle"	0.0662513
Louisville	0.0655807
"Michigan State"	0.0655504
"Chicago Fire"	0.0643255
"Partizan Belgrade"	0.0643037
"West Virginia"	0.0633119
"Indianapolis Colts"	0.0631298
Kansas	0.0629378
TCU	0.0627257
Hawkeyes	0.0625759
"Seibu Lions"	0.0623219
Seahawks	0.0622893
wildcat	0.0622607
"New York Jets"	0.0622252
NAU	0.0618759
"Phenix City"	0.061397
Fordham	0.0612262
"West Texas"	0.0607091
"Cincinnati Bengals"	0.0606383
"Colorado State"	0.0605453
Pepperdine	0.0605015
"Ai Sugiyama"	0.060269
"Nashville Predators"	0.0600712
"Green Bay"	0.0600483
Stanford	0.059908
ASU	0.0597507
"Philadelphia Eagles"	0.0594568
Indiana	0.0590217
USC	0.0589956
Baja	0.0588015
SMU	0.0585776
Jacksonville	0.0583665
bulldog	0.0581001
gamecock	0.0575923
Samford	0.0573855
Stephenville	0.0572637
Boilermakers	0.0568795
"Walt Disney World"	0.0566947
"Tar Heels"	0.0565235
"Buffalo Bills"	0.0564857
Memphis	0.0564026
Wolfpack	0.0563041
"Francisco Cordova"	0.0562398
"New Mexico"	0.0560857
"New York Giants"	0.05595
Seminoles	0.0557673
"Arnaud Di Pasquale"	0.0554957
CSUN	0.0554156
"Horned Frogs"	0.0553816
Redskin	0.0552391
Xavier	0.0551965
"San Diego State"	0.0549631
"Saint Louis"	0.0548071
"Southern Cal"	0.0547538
Carolina	0.0546963
"Red Raiders"	0.0545405
Wisconsin	0.0544493
"Cleveland Cavaliers"	0.0544319
panther	0.0540068
Cavs	0.0538659
"San Francisco @@ers"	0.0537059
Estonia	0.0536942
"Barbara Schett"	0.0536807
"N.C. State"	0.0536678
"Ottawa Senators"	0.0535874
Colgate	0.0533674
ou	0.0533382
packer	0.0532294
Lithuania	0.0531124
"Tara Snyder"	0.0530866
"Louisiana State"	0.0530202
"Green Bay Packers"	0.0529937
Cal	0.0527576
"Scarlet Knights"	0.0525664
Pitt	0.052532
Starzz	0.0523208
Brondby	0.0521268
"Anaheim Mighty Ducks"	0.0517932
oiler	0.0516832
Huskers	0.0515715
Hokies	0.0514548
"Jennifer Capriati"	0.0514293
Bengals	0.05105
Viking	0.0509741
charger	0.0509635
"Nittany Lions"	0.0508472
husky	0.050776
Tulsa	0.0506271
K-State	0.0505289
"Chicago Blackhawks"	0.050489
Georgetown	0.0502777
"New Orleans Saints"	0.0501951
Alabama-Birmingham	0.0501314
"Jacksonville Jaguars"	0.0500981
"Brian Moehler"	0.0500082
Mullaitivu	0.0498994
Wyoming	0.049899
"Mighty Ducks"	0.0498019
"Pedro Astacio"	0.0497335
Queensland	0.0496245
"Tampa Bay Lightning"	0.0495354
"Albert Portas"	0.0495173
"Buffalo Sabres"	0.0495007
Furman	0.0493945
"Seattle Seahawks"	0.0493754
"Dallas Cowboys"	0.0493494
"Montana State"	0.049325
"Washington Redskins"	0.0492113
"Weber State"	0.0491471
Ozarks	0.0490928
"Marat Safin"	0.0488883
"Magic Kingdom"	0.0488788
"Nottingham Forest"	0.0487392
"Northern Arizona"	0.048735
Jamaica	0.0484529
"D.C. United"	0.0484523
Jayhawks	0.0483047
Trojan	0.0482788
"Sarah Pitkowski"	0.0482332
SFA	0.0481804
"Tampa Bay Devil Rays"	0.0481548
"animal kingdom"	0.0481544
"Golden State Warriors"	0.0480933
))
("Central Government" (desc 9497.68) (sims
"Chinese government"	0.176518
"State Council"	0.149505
"municipal government"	0.123103
"local government"	0.120694
"Nationality Law"	0.104058
procuratorates	0.097498
"Ministry of Education"	0.0962979
"Party Central Committee"	0.09553
"Ministry of Railways"	0.0935117
NPC	0.0904964
"Ministry of Forestry"	0.0885247
"federal government"	0.0879527
"Ministry of Civil Affairs"	0.0878933
"Preparatory Committee"	0.0877036
"CPC Central Committee"	0.0874453
"Liaison Office"	0.0859405
"State Education Commission"	0.0857084
"State Planning Commission"	0.0849663
"United States government"	0.0841823
"Beijing Municipal Government"	0.0837301
"Red Cross Society"	0.0829468
"Chinese Foreign Ministry"	0.0827988
"Ministry of Foreign Trade and Economic Cooperation"	0.0822864
"NPC Standing Committee"	0.0820358
"Ministry of Culture"	0.081095
EBRD	0.0801628
"Civil Aviation Administration of China"	0.0789066
"Clinton Administration"	0.0784633
ministry	0.0781953
"Hong Kong SAR"	0.078046
"China National Tourism Administration"	0.0778214
"Special Administrative Region"	0.0770336
"State Administration of Cultural Heritage"	0.0758991
"Food and Drug Administration"	0.0747693
FCC	0.073538
"Ministry of Agriculture"	0.0728257
"Communist Party"	0.072443
"Ministry of Finance"	0.0721018
"Executive Board"	0.0720627
"State Science and Technology Commission"	0.0715823
CPC	0.071264
legislature	0.0707372
"Chinese Communist Party"	0.0706919
"Bank of China"	0.0706776
"Education Ministry"	0.0704636
"Chinese Communist Party Central Committee"	0.070409
FAA	0.0702659
"Macao SAR"	0.0699047
"U.N. Sanctions Committee"	0.0698818
"Royal Government"	0.0697769
"State Development Planning Commission"	0.0696513
"Hong Kong Special Administrative Region"	0.0692258
"Chongqing Municipality"	0.069012
"Ministry of Public Health"	0.0689706
"National People's Congress"	0.0686006
"European Commission"	0.0684415
UNDP	0.0683579
"People's Republic of China"	0.0681363
CNTA	0.0680113
"Ministry of Foreign Affairs"	0.0678761
"Ministry of Health"	0.0675506
"Provisional Legislative Council"	0.0673271
"Communist Party of China"	0.0669015
locality	0.0666872
"General Administration of Customs"	0.0666769
IMF	0.0666413
"trade union"	0.0666094
"Finance Ministry"	0.0663613
PLA	0.0662154
"walk of life"	0.0661568
EC	0.0658245
"Basic Law"	0.0656233
HKMA	0.0652437
"World Bank"	0.0650949
"King Norodom Sihanouk"	0.0650588
"business community"	0.0650339
"United Nations Security Council"	0.0648459
"central bank"	0.064777
OAU	0.0645236
HKSAR	0.0644159
"Health Ministry"	0.064303
"Central Committee"	0.0637599
Vatican	0.0636791
EU	0.0634792
"public security"	0.0629042
"standing committee"	0.0628267
CSRC	0.0628189
"International Monetary Fund"	0.0628068
"Security Council"	0.06247
"Qinghai Province"	0.0620748
"Labor Ministry"	0.061884
"Transportation Department"	0.0617753
"Dalai Lama"	0.0617462
"Taiwan Affairs Office"	0.0616546
FDA	0.0616425
mainland	0.0616356
Council	0.0615561
UNFPA	0.0610285
WFP	0.0609803
SEC	0.0609547
"Federal Communications Commission"	0.0607132
"Philippine Central Bank"	0.060705
SAR	0.06059
UNICEF	0.0602118
"Ministry of Water Resources"	0.0600466
"Bank of Israel"	0.0599788
bureaus	0.0597653
motherland	0.059666
"Bank Negara"	0.0596278
"China Securities Regulatory Commission"	0.0595764
USAID	0.059314
"National Tourism Administration"	0.0589497
SEZs	0.0589094
"Environmental Protection Agency"	0.0588013
"Sino-British Joint Declaration"	0.058589
"city council"	0.0585224
UNP	0.058417
"Reserve Bank of India"	0.0583527
"Justice Ministry"	0.0583429
"U.N. Security Council"	0.0580978
"Vietnamese Communist Party"	0.0580895
"North Atlantic Council"	0.057861
"Commission on Elections"	0.0577868
CDB	0.0573028
UNHCR	0.0572693
Secretary-General	0.0572324
PRC	0.0572302
"armed forces"	0.0570491
"Ministry of Personnel"	0.0570345
"State Economic and Trade Commission"	0.0570195
"Ministry of Posts"	0.0568788
"Justice Department"	0.0568457
bureau	0.0567596
"legislative council"	0.0566954
"State Administration of Internal Trade"	0.0565327
PNA	0.056407
"Ministry of Science"	0.0563195
"HKSAR Government"	0.0562014
Ningxia	0.0562011
UN	0.0561941
CPV	0.0561926
"Department of Health"	0.0561831
MOFTEC	0.0561241
IOC	0.0559879
CAS	0.0558549
FA	0.0558171
municipality	0.0558094
"Education Department"	0.0557561
ADB	0.0556946
"Israeli Cabinet"	0.0556559
organ	0.0555702
Procuratorate	0.0554232
UNRWA	0.055422
"Department of Justice"	0.0554166
"financial organization"	0.0552637
"Badminton Association of Indonesia"	0.0550425
"Department of Education"	0.0550324
"international organization"	0.054546
"Tibet Autonomous Region"	0.0545275
OSHA	0.0545072
SDB	0.0544639
"United Nations Development Program"	0.0543816
"Ministry of Public Security"	0.0543789
"State Flood Control"	0.0543784
"state legislature"	0.0541613
"U.S. Environmental Protection Agency"	0.0538598
"Central Military Commission"	0.0537718
"General Committee"	0.0536991
stationing	0.0535448
"Ministry of Foreign Trade"	0.0534849
opening-up	0.0534465
"Hong Kong Tourist Association"	0.0531179
"Ministry of Communications"	0.0530923
"Interior Ministry"	0.0530179
"Information Office"	0.0529332
FAO	0.0529204
"police department"	0.0528628
U.N.	0.0528492
USOC	0.0528236
"Treasury Department"	0.0527771
emir	0.0527375
"Palestinian Central Council"	0.0525997
compatriot	0.0524435
"United Nations High Commissioner for Refugees"	0.0523358
"Immigration Department"	0.0523311
"State Administration of Foreign Exchange"	0.0522962
"People's Bank of China"	0.0522933
"United Nations Children's Fund"	0.0520915
CSA	0.0518258
"Federal Aviation Administration"	0.0518122
"Securities and Exchange Commission"	0.051812
federation	0.051745
UNESCO	0.0516673
"school board"	0.051651
"Liberation Army"	0.0516238
"State Bureau of Cultural Relics"	0.0515863
Eximbank	0.0514742
"State Forestry Administration"	0.0513678
"local department"	0.0513159
Fujian	0.0512453
))
("central heating" (desc 1096.67) (sims
sewerage	0.16162
"garbage disposal"	0.152806
"power steering"	0.146587
heating	0.140575
refrigeration	0.138599
"soil conservation"	0.127638
"electrical power"	0.125784
"sewage system"	0.125353
"electric power"	0.116594
ventilation	0.111679
"sewage disposal"	0.111414
desalination	0.109476
conservancy	0.103088
"heating system"	0.10168
plumbing	0.100348
air-conditioning	0.0986984
SDH	0.097945
sewer	0.0960321
"cruise control"	0.0956874
"electric light"	0.0946401
"drinking water"	0.093969
"solar energy"	0.0931346
wastewater	0.0929509
drainage	0.0899316
"tap water"	0.0898041
warehousing	0.0877944
"public transport"	0.0872209
sanitation	0.0869842
telemedicine	0.0858399
"mass transit"	0.0846478
"diesel oil"	0.0840528
"liquefied petroleum gas"	0.0838505
purification	0.0831227
irrigation	0.0830766
"solar radiation"	0.0828407
interconnection	0.0825214
"flood control"	0.0823778
"nursing care"	0.0823481
"outside mirror"	0.0804776
"water filter"	0.0796651
carpentry	0.0793601
"fire control"	0.0777462
"dry ice"	0.0777107
Sewage	0.0769189
CDMA	0.076812
"inventory control"	0.0766605
GSM	0.0765763
"alarm system"	0.076346
ammo	0.0758938
woodworking	0.0746235
"stereo system"	0.0745013
"solar power"	0.0741231
petrochemical	0.0737908
waterworks	0.0730307
"heating oil"	0.0730222
"sewer system"	0.0729791
"road construction"	0.0718011
"wireless telephone"	0.0716888
"canned goods"	0.0707054
IC	0.0706898
Telecoms	0.0698178
hydropower	0.0698147
"steam turbine"	0.0697504
"sewer line"	0.0690783
"public utility"	0.0690428
healthcare	0.067915
"health service"	0.0670704
"cassette recorder"	0.0657042
refining	0.0656545
"canned food"	0.0656092
"wind power"	0.0650513
aquaculture	0.0650411
signaling	0.064753
"fuel oil"	0.0641831
bitumen	0.0641506
"microwave oven"	0.0638917
"gas stove"	0.063454
"data communication"	0.0634357
reinsurance	0.0633385
viaduct	0.0632777
reclamation	0.0631397
informatics	0.0630214
"data processing"	0.0629155
Firewood	0.0628128
Filtration	0.0623555
LPG	0.0618195
multilevel	0.0613851
"electric fan"	0.0611658
"optical fiber"	0.061134
"social welfare"	0.0610485
"telephone exchange"	0.0607029
"weather forecasting"	0.0605148
"land development"	0.0603868
"computer equipment"	0.06032
"garbage collection"	0.0599104
analogue	0.0597521
"elementary education"	0.0596092
"traffic control"	0.0594859
roofing	0.0594721
methanol	0.0593235
hydro	0.0589173
"medical aid"	0.058857
"fire alarm"	0.058729
"civil engineering"	0.0584419
reemployment	0.0582647
transformer	0.0578855
repeater	0.0578739
Internet@	0.0577231
ethylene	0.0576929
"building product"	0.05769
seismology	0.0572835
"information service"	0.056968
"written language"	0.0568965
"test equipment"	0.0566386
self-service	0.0564635
"working capital"	0.0563336
faucet	0.0561908
"social insurance"	0.055968
"communications service"	0.055823
skylight	0.0554528
landscaping	0.0551944
sprinkler	0.0550007
pasteurization	0.0549754
"ground water"	0.0549046
hookup	0.0547626
Teledesic	0.0546989
beeper	0.0544618
NMD	0.0544248
"fire escape"	0.054411
Xiaolangdi	0.0540678
sensing	0.0539475
"fiber optic cable"	0.0537284
"computer application"	0.0535275
housewares	0.0535045
Gatorade	0.053469
"price support"	0.0533693
heater	0.0532861
toiletry	0.0530315
propulsion	0.0529444
"telephone bill"	0.0528274
GPS	0.0528262
"urban planning"	0.0524632
"automatic transmission"	0.0524329
steering	0.0523774
"car insurance"	0.0518298
exportation	0.0518018
"motor oil"	0.0516905
"recreational facility"	0.051678
authentication	0.0516637
"security system"	0.0514431
"medical instrument"	0.0513706
"transportation system"	0.0513311
kerosene	0.0512496
lubricant	0.0510957
iTV	0.0506674
parimutuel	0.050641
recycling	0.050607
sewing	0.0504787
"secondary education"	0.0504696
"cable car"	0.0504037
"electrical system"	0.0503953
Pacifica	0.0503287
shipbuilding	0.0502606
GSP	0.0501055
lavatory	0.0500673
"consumer credit"	0.0497803
gulag	0.0497604
beautification	0.0497328
"powdered milk"	0.0496978
Streetcar	0.0496429
"aircraft engine"	0.0494757
"telecommunication system"	0.0494094
E-ZPass	0.0493419
"cellular telephone"	0.0490282
washing	0.0487682
TMD	0.0487481
overdraft	0.0487344
Telemundo	0.048419
detoxification	0.04832
groundwater	0.0481668
"pet food"	0.0480186
"communications satellite"	0.0479767
refreshment	0.0478404
consultancy	0.0478031
radiotherapy	0.0477786
electrolyte	0.0476008
"vocational education"	0.0475761
"diesel fuel"	0.0475587
"city planning"	0.0473913
turbogenerator	0.0473006
mitigation	0.046897
"water pipe"	0.0468397
bio-diversity	0.0467571
"drinking fountain"	0.046698
"water pump"	0.0465899
"water heater"	0.0465796
electrification	0.0465293
superhighway	0.046513
"fiber optics"	0.0464238
defroster	0.0461467
))
("Central High School" (desc 1917.45) (sims
"University of Mississippi"	0.125119
"Brigham Young University"	0.101345
"air force academy"	0.0958827
"University of Tennessee"	0.0926403
"University of Alabama"	0.0924427
"U.S. Naval Academy"	0.0898639
"University of Arkansas"	0.0890636
"Temple University"	0.0866521
"Louisiana State University"	0.0816969
"Harvard College"	0.081536
"Howard University"	0.0777595
"University of Houston"	0.0777408
"University of Kentucky"	0.0748124
"Juilliard School"	0.074499
Eton	0.0742003
"Federal District Court"	0.0708902
"University of Nebraska"	0.0674634
"Yale Law School"	0.0657962
"Washington State University"	0.0647296
"American University"	0.0628047
"University of Wyoming"	0.0626459
"University of Notre Dame"	0.0625371
"University of Zimbabwe"	0.0620919
"Nankai University"	0.0617973
"George Mason University"	0.0608989
"University of Georgia"	0.0607978
"Kansas State University"	0.0596785
"Catholic school"	0.059531
"Northwestern University"	0.0592198
"University of Southern California"	0.0591249
"Wesleyan University"	0.0587224
"University of Kansas"	0.0586872
"Baylor University"	0.0579392
"University of New Hampshire"	0.0570356
"Makerere University"	0.0567832
"Nanjing University"	0.0564654
"vocational school"	0.0562156
"Rice University"	0.0559201
"Cornell University"	0.0555599
"University of Minnesota"	0.0544687
"Georgetown University"	0.0543567
"Cal State Northridge"	0.054287
"Hilton Hotel"	0.0542454
"University of South Carolina"	0.0540276
"community college"	0.0539059
"Harvard Business School"	0.0537845
"Federal Reserve Bank"	0.0533267
Fordham	0.0529567
"Western European Union"	0.0527294
"Jewish Community Center"	0.0522159
"Fudan University"	0.0520441
Drexel	0.052003
"Heritage High School"	0.0519415
"Reno Air"	0.0518786
"Dartmouth College"	0.0515489
Antioch	0.0514283
"Duke University"	0.0512757
"Maple Leaf Gardens"	0.0512315
"Williams College"	0.0511781
Beida	0.0509627
"naval academy"	0.0502231
"St. Mary"	0.0500969
"University of Maryland"	0.0498105
"Qinghua University"	0.0497384
"National Autonomous University of Mexico"	0.0495391
"Florida State University"	0.049433
"University of Nevada"	0.049039
"junior high school"	0.0487948
"Rutgers University"	0.0483797
"San Francisco State University"	0.0483408
"West Point"	0.0482542
"University of Arizona"	0.0477364
"Harvard Law School"	0.0477075
"preparatory school"	0.0476845
"funeral home"	0.0472659
"technical school"	0.0471924
"State University of New York"	0.0471801
"Arizona State University"	0.0465783
"University of Cincinnati"	0.0465382
Juilliard	0.0465366
"Idaho State"	0.0465055
"teachers college"	0.046346
"crash landing"	0.0463274
"Mercy Hospital"	0.046324
"University of Florida"	0.0457011
"armed service"	0.0451971
"Brown University"	0.0451759
"race riot"	0.0447941
"Kiel Center"	0.0447542
"Circuit Court"	0.0443351
"Indiana University"	0.0443019
"Covent Garden"	0.044265
"University of Oregon"	0.0440456
"Peking University"	0.043894
Graceland	0.0438235
"Syracuse University"	0.0437448
"Ohio State University"	0.0433198
"Washington University"	0.0432669
"military academy"	0.0431689
"Hunter College"	0.0429738
"United Church of Christ"	0.0428714
"Vanderbilt University"	0.0427514
"Holy Cross"	0.0427354
"school of music"	0.0427347
"Cooper Union"	0.0424482
"Boston University"	0.0424405
"New York State Theater"	0.0423287
smelters	0.0423121
"Tufts University"	0.0421754
"Wedgwood Baptist Church"	0.0418022
Gastroenterologist	0.0415968
"Texas Christian University"	0.0410168
"school of law"	0.0408924
"Digital Equipment Corp."	0.0403959
"University of Utah"	0.0401798
"University of New Mexico"	0.040054
"University of Virginia"	0.0400224
"District Court"	0.0400076
))
("Central Intelligence Agency" (desc 7133.06) (sims
CIA	0.294868
"Drug Enforcement Administration"	0.181533
"secret service"	0.149939
FBI	0.140813
"Federal Bureau of Investigation"	0.137325
"Energy Department"	0.137059
"Department of Defense"	0.135072
"National Security Council"	0.128926
"Immigration and Naturalization Service"	0.128416
"National Security Agency"	0.125525
"Defense Department"	0.123797
DEA	0.123638
"State Department"	0.12255
"Environmental Protection Agency"	0.120153
KGB	0.120088
"customs service"	0.120034
"U.S. Customs Service"	0.120002
"Office of Management and Budget"	0.118585
"National Science Foundation"	0.118491
"Federal Security Service"	0.115928
"Department of Justice"	0.115792
"Bureau of Alcohol"	0.115476
"Scotland Yard"	0.114895
"U.S. Immigration and Naturalization Service"	0.114715
MI@	0.114472
"Federal Emergency Management Agency"	0.111807
"Justice Department"	0.110557
"Department of Veterans Affairs"	0.109071
"Federal Aviation Administration"	0.10869
"Department of Energy"	0.108435
Mossad	0.10815
ATF	0.10637
"New York Police Department"	0.106312
FEMA	0.106128
"Russian Space Agency"	0.106024
"Agency for International Development"	0.104484
"National Transportation Safety Board"	0.10307
Pentagon	0.102093
"U.S. State Department"	0.0991961
"Defense Agency"	0.099039
"National Aeronautics and Space Administration"	0.0983626
"Internal Revenue Service"	0.0982122
Interpol	0.098108
INS	0.0972404
"Department of Health and Human Services"	0.0968552
"Interior Department"	0.0968245
"Texas Department of Public Safety"	0.0963352
"State Bureau of Cultural Relics"	0.0962344
"Shin Bet"	0.0946905
"General Accounting Office"	0.0945189
"National Institutes of Health"	0.0942061
"Treasury Department"	0.0938056
"World Food Program"	0.0934051
NIH	0.092947
"Education Department"	0.092874
"Department of Health"	0.0927465
"Philippine National Police"	0.0927394
"Royal Canadian Mounted Police"	0.0926356
bureau	0.0926353
"Forest Service"	0.0920348
"Department of Public Health"	0.0916978
"Department of Housing and Urban Development"	0.0916866
"Civil Aviation Authority"	0.0916493
"Health Department"	0.0904589
"U.S. Fish and Wildlife Service"	0.0900289
"Census Bureau"	0.0894117
"Congressional Budget Office"	0.0890909
CDC	0.0885761
"Department of State"	0.0881882
"National Park Service"	0.0875882
FSB	0.0875461
EPA	0.0874379
"Agriculture Ministry"	0.0872269
EBRD	0.086631
NASA	0.0863546
FAA	0.086082
UNHCR	0.0860049
"Los Angeles Police Department"	0.0855144
"Department of Education"	0.0851348
"U.S. Environmental Protection Agency"	0.0848359
"secret police"	0.0842879
DP	0.0836563
"World Health Organization"	0.0836064
"National Economic Council"	0.0833455
"Interior Ministry"	0.0827755
"International Red Cross"	0.0822945
"Department of Transportation"	0.082252
"World Bank"	0.0820362
"Department of Agriculture"	0.081835
"Health Care Financing Administration"	0.080997
UNICEF	0.0808197
"Commerce Department"	0.0803671
"police department"	0.0792791
"Economic Planning Agency"	0.0786307
IAEA	0.0784054
GSS	0.0781461
"Electronic Privacy Information Center"	0.0780406
"planning commission"	0.077941
"Health Ministry"	0.0773136
"U.S. Chamber of Commerce"	0.0769005
"Department of Corrections"	0.0767937
"General Security Service"	0.0767515
va	0.0764971
"Nuclear Regulatory Commission"	0.0761117
"National Highway Traffic Safety Administration"	0.0761109
"State Administration of Cultural Heritage"	0.0760475
LAPD	0.0759384
"National Academy of Sciences"	0.0759248
HUD	0.0757263
"Southern Command"	0.0755115
"U.S. Forest Service"	0.0750446
USAID	0.0749886
UNESCO	0.0748093
BIA	0.0746546
"Bureau of Land Management"	0.0743837
"United Nations Children's Fund"	0.0743236
"United Nations Development Program"	0.0741854
WFP	0.0739805
UNAIDS	0.0739732
"Royal Ulster Constabulary"	0.073792
"Social Security Administration"	0.0733667
"Ethics Commission"	0.0732606
"American Red Cross"	0.0729655
INEC	0.0729095
"border patrol"	0.0728329
"International Atomic Energy Agency"	0.0728071
"Federal Trade Commission"	0.0727355
"Civil Aviation Administration of China"	0.0725178
"Department of Public Safety"	0.072388
NRC	0.07209
ministry	0.0717602
"Public Security Ministry"	0.0716719
"National Police"	0.0716457
"U.S. Information Agency"	0.071548
ICRC	0.0712335
IRS	0.0710327
NTSB	0.0703932
"Agriculture Department"	0.0701208
"Coast guard"	0.0699563
"International Labor Organization"	0.0694828
"American Association of Retired Persons"	0.0693172
"CBS Sports"	0.0692659
"Common Cause"	0.0691172
"Human Rights Watch"	0.0691034
FDA	0.068936
"federal department"	0.0688851
Nepa	0.0687586
"International Monetary Fund"	0.0686464
"State Flood Control"	0.0685475
"Peace Corps"	0.0683899
OSCE	0.0682968
intelligence	0.068277
"Intelligence Ministry"	0.0681814
"fire department"	0.0680489
IEC	0.0679999
"Justice Ministry"	0.0677818
"Fish and Wildlife Service"	0.0674063
"Red Cross"	0.0672943
"Xinhua News Agency Hong Kong Branch"	0.0671957
"Democratic National Committee"	0.0671722
"Department of Labor"	0.0670595
"Bureau of Indian Affairs"	0.0667624
counterintelligence	0.0665405
"American Cancer Society"	0.0664543
counterterrorism	0.0663992
"Defense Ministry"	0.0662758
"Housing Authority"	0.0662332
PNP	0.0662147
"Cuban American National Foundation"	0.0662059
"Federal Deposit Insurance Corp."	0.0659034
"Los Alamos National Laboratory"	0.065895
Directorate	0.0656273
DEP	0.0654404
"Family Research Council"	0.0653022
"Home Ministry"	0.0652602
"Republican National Committee"	0.0649173
"Department of Foreign Affairs"	0.0646914
UNRWA	0.0646484
USOC	0.0645057
"Ministry of Defense"	0.0643986
"U.N. Development Program"	0.064363
"Port Authority"	0.0643577
"Export-Import Bank"	0.064321
"Immigration Department"	0.0640082
navy	0.063938
"U.S. Soccer Federation"	0.0639371
"Securities and Exchange Commission"	0.0637699
"Education Ministry"	0.063592
EEOC	0.063519
"New York Civil Liberties Union"	0.0634681
NSA	0.0633687
"Internal Affairs"	0.063324
"civil defense"	0.0632644
"National Election Committee"	0.0631546
"Forrester Research"	0.0630882
"Federal Reserve Bank of New York"	0.0630186
ILO	0.0629602
AFL-CIO	0.0629261
"International Committee"	0.0626345
IMF	0.0625166
))
("Central Jakarta" (desc 1419.81) (sims
Kandy	0.110613
Vladikavkaz	0.104934
Sussex	0.0866392
Makhachkala	0.0825051
"residential district"	0.0820713
Lahore	0.0805547
Brentwood	0.0781492
Delhi	0.0748373
Medan	0.0730523
Hattiesburg	0.0703778
Limassol	0.0698447
Calabasas	0.0687143
Riga	0.0679879
"Algerian capital"	0.0669086
"Centennial Olympic Park"	0.0668095
"Quezon City"	0.0664924
"city center"	0.0663758
Nakuru	0.0663216
Duesseldorf	0.066242
Bridgehampton	0.0660932
"Nuevo Laredo"	0.065309
"Downing Street"	0.0644691
Quetta	0.0627296
underpass	0.0625582
"South End"	0.0621878
"Greenwich Village"	0.0619765
"Southern Philippines"	0.0617187
"Fort Lee"	0.0614094
Suwanee	0.0604811
regency	0.0602643
"East Hampton"	0.0596005
Soweto	0.0595418
Buckhead	0.0594805
BRIGHTON	0.0594034
subdistrict	0.0593613
Tallinn	0.059342
"Little Havana"	0.0586192
Dusseldorf	0.058356
"Port Moresby"	0.0582716
Ballymoney	0.0576867
Khulna	0.0574805
Marjayoun	0.0574354
"Indian capital"	0.0573619
Port-au-Prince	0.0572632
"small hours"	0.0570815
Dearborn	0.0566164
Pennington	0.0562929
"French Quarter"	0.0551965
"Westchester County"	0.0544345
Bellingham	0.0543491
Omagh	0.0534135
Kingston	0.0531358
Gulu	0.0527077
Punjab	0.0523184
Kowloon	0.0521401
Dili	0.0520529
"Garden City"	0.0519128
Tuzla	0.0515798
"central city"	0.051545
"Hollywood Hills"	0.0515228
Tarrytown	0.0515044
"Siem Reap"	0.0514774
Mannheim	0.0513743
murder-suicide	0.0511874
Dhahran	0.0509804
Tbilisi	0.0508777
Mbarara	0.0508407
Medellin	0.050411
Carlsbad	0.0503749
"Guatemala City"	0.0503128
"East Harlem"	0.0500681
"South Bronx"	0.0498833
Bethesda	0.0497025
Cyberjaya	0.0496547
"rest room"	0.0495684
"Midtown Manhattan"	0.0494843
Minsk	0.0492499
Montclair	0.0492397
"Woodland Hills"	0.0492385
Houghton	0.0491487
CARACAS	0.0488779
"Metro Manila"	0.0487806
Cotabato	0.0486228
"Gaza City"	0.0485803
Trincomalee	0.0483567
Ghent	0.0481742
"Greek capital"	0.0480215
Ramallah	0.0478892
Bujumbura	0.0478451
Bern	0.0477708
Kennebunkport	0.0477475
Chatsworth	0.0476058
Vientiane	0.0474481
Oxnard	0.0473759
Vitoria	0.0472961
"Yellow Sea"	0.0472208
Burbank	0.0472027
"Harvard Square"	0.0471959
Salisbury	0.047078
"Shah Alam"	0.0470484
"Santo Domingo"	0.04703
"first minutes"	0.0464922
"business district"	0.046164
Chappaqua	0.0459342
"Palm Beach Gardens"	0.0457934
Sunnyvale	0.0456044
SANAA	0.0455168
Westport	0.0454746
off-campus	0.0451605
Irvington	0.0448987
Urosevac	0.044729
Cheshire	0.0445876
Juba	0.044348
Qom	0.0443387
Beverly	0.0441162
"Ho Chi Minh City"	0.0439968
"Northern Province"	0.0439669
Londonderry	0.0435362
Dunkirk	0.043429
Asuncion	0.0432539
Alameda	0.0432188
Olathe	0.0431051
Kandahar	0.0431008
"Central Java"	0.0430786
clapboard	0.0429936
Jalalabad	0.0429817
Pudong	0.0429042
Mumbai	0.0428969
Herat	0.0427252
"South Mogadishu"	0.0426758
"Iowa City"	0.0424642
"market town"	0.0424247
Arua	0.0424207
TEGUCIGALPA	0.0420991
"Johor Baru"	0.0420689
Marseilles	0.0416857
Stockbridge	0.0416404
"six kilometers"	0.0416091
"Van Nuys"	0.0414581
"federal district"	0.0411931
Bulawayo	0.0410534
Teheran	0.0408515
Beersheba	0.0405851
Xenia	0.0405755
Naperville	0.040521
Malden	0.0402319
"San Mateo"	0.040119
))
("Central Java" (desc 4376.37) (sims
"West Java"	0.250268
"East Java"	0.219018
"South Sulawesi"	0.189321
Sulawesi	0.167894
Bengkulu	0.160971
"West Kalimantan"	0.155523
Yogyakarta	0.150877
Bali	0.14754
Sumatra	0.130041
"East Kalimantan"	0.127637
Maluku	0.124341
"Irian Jaya"	0.124211
Batam	0.118201
"North Maluku"	0.112618
Surabaya	0.100923
Pampanga	0.100819
Kalimantan	0.100615
Lampung	0.098075
Aceh	0.0976896
Riau	0.0946492
Jakarta	0.0940685
Palembang	0.090489
"East Nusa Tenggara"	0.0896237
Kandy	0.0833561
Bandung	0.0826044
"Chiang Rai"	0.0825211
"West Timor"	0.0816524
Herat	0.0814459
Cotabato	0.0795927
Mpumalanga	0.0783533
regency	0.0782231
Punjab	0.077959
Nyanza	0.0774236
Tete	0.0762622
Sofala	0.0758617
Ambon	0.0757526
"Delta State"	0.0750968
Java	0.072497
Bamiyan	0.0688303
"Mount Lebanon"	0.0679446
Cochabamba	0.0656876
Sindh	0.0653289
Hunan	0.0624003
Balochistan	0.0622713
"Nile Delta"	0.0621027
Maguindanao	0.0617814
"Free State"	0.0617156
Guizhou	0.0617112
Bogor	0.0615483
Caprivi	0.0614956
Izmir	0.0611264
"CHIANG MAI"	0.0606709
Tunceli	0.060621
Antioquia	0.0590347
Basilan	0.0588358
Bingol	0.0586821
Luzon	0.0585911
BIE	0.058543
Palawan	0.058171
Putumayo	0.0580898
Shaanxi	0.0578348
Hokkaido	0.057327
"Heryanto Arbi"	0.0559519
Hebei	0.0555764
"Uttar Pradesh"	0.0555471
"Eastern Cape"	0.0555408
"rift valley"	0.055381
"Yayuk Basuki"	0.0551839
"Pearl River Delta"	0.0549069
"Lower Saxony"	0.0544349
Kwazulu-Natal	0.0542421
Zhejiang	0.0541171
Guangxi	0.0535991
Benguela	0.0535081
Huambo	0.0529609
Krasnoyarsk	0.0524741
"Golden Triangle"	0.0522788
Norte	0.0521183
Copperbelt	0.0520411
Phuket	0.0519261
Batticaloa	0.0518134
Hubei	0.0517807
"West Texas"	0.0516567
Anhui	0.0516271
"Niger Delta"	0.050991
Vilnius	0.0508207
Abkhazia	0.0507641
Shanxi	0.0507508
Katanga	0.0503399
Hakkari	0.0499048
Heilongjiang	0.0498008
"Central Province"	0.0497448
"Mojave Desert"	0.0494331
Izmit	0.0491832
"Western Cape"	0.0489851
Gansu	0.0485638
Veracruz	0.0483104
"more than @,@@@ kilometers"	0.048275
"Surat Thani"	0.0476145
Makhachkala	0.047577
Lucknow	0.047522
Vojvodina	0.0470437
subdistrict	0.0469263
Zamboanga	0.0468988
Tigray	0.046798
"Bekaa Valley"	0.0465864
"Fairfield County"	0.0465104
Normandy	0.046436
"Yangtze River Delta"	0.0463656
Bushehr	0.046365
Sirnak	0.0463072
Jinja	0.046176
Gujarat	0.0459958
Diyarbakir	0.0459153
Sarawak	0.0458571
Najaf	0.0457927
Cebu	0.0456595
Ningxia	0.0456116
Isfahan	0.0455933
"Philippine Stock Exchange"	0.0454121
Denpasar	0.0453445
Basra	0.0452151
"Florida Panhandle"	0.0451939
Vientiane	0.0449933
"Central Texas"	0.0446818
Gudermes	0.0445747
highland	0.0445303
Sulu	0.0444685
Hainan	0.0443793
Qinghai	0.0440997
"East Texas"	0.0440788
Brittany	0.0438703
Burgos	0.0438516
Puebla	0.0438415
Chiapas	0.0436071
Gauteng	0.0435624
Ingushetia	0.0435452
Dagestan	0.0435156
Fujian	0.0433794
Sichuan	0.043279
Kaliningrad	0.0432301
Adana	0.0431677
"Central Jakarta"	0.0430786
Khulna	0.0428726
"North Ossetia"	0.0428249
"French Alps"	0.0426356
"Metro Manila"	0.0426163
Davao	0.0424318
Bekaa	0.0424197
"other eight"	0.0421572
Talipao	0.0419339
KwaZulu/Natal	0.0417413
"Ningxia Hui Autonomous Region"	0.0415739
BASQUE	0.0415601
Pattaya	0.0415237
"Zhejiang Province"	0.0414494
Jilin	0.0413939
"San Joaquin Valley"	0.0413477
Dili	0.0413133
Mindanao	0.0412787
panhandle	0.0409849
Jalalabad	0.0407838
"Rift Valley Province"	0.0407805
"Melbourne Park"	0.0407706
"Northern Irish"	0.0407116
Bahia	0.0406036
"Henan Province"	0.0405752
Gulu	0.0405643
"Northern California"	0.0405405
Meta	0.0404776
Jalisco	0.0402411
"Mekong Delta"	0.040205
Kailahun	0.040155
"North West Frontier Province"	0.040041
))
("Central Military Commission" (desc 7049.18) (sims
CMC	0.368346
"National Committee"	0.206629
"CPPCC National Committee"	0.202588
"military commission"	0.200511
"United Front Work Department"	0.199501
"Political Consultative Conference"	0.197228
"Congress Standing Committee"	0.186637
"Wang Zhongyu"	0.186548
"National People's Congress"	0.17418
"Publicity Department"	0.172138
"Central Commission for Discipline Inspection"	0.168906
"Beijing Municipal Committee"	0.163167
"standing committee"	0.159703
"Central Committee"	0.158966
"Political Bureau"	0.158189
"NPC Standing Committee"	0.157726
"Li Tieying"	0.152145
"State Council"	0.147787
"Organization Department"	0.146809
"All-China Federation"	0.139911
"Chinese People's Political Consultative Conference"	0.136443
"CPC Central Committee"	0.128575
"Ninth National Committee"	0.126537
"State Peace and Development Council"	0.124532
ACFTU	0.122894
"Chinese Communist Party Central Committee"	0.120199
"Propaganda Department"	0.113792
CIRC	0.109862
"Song Jian"	0.108693
"Hu Jintao"	0.107104
"Ninth CPPCC National Committee"	0.103251
"Luo Gan"	0.102927
"Chi Haotian"	0.102901
"Congress (NPC) Standing Committee"	0.102739
"Jiang Zemin"	0.10147
"Taiwan Affairs Office"	0.101233
"Chinese Communist Party (CPC) Central Committee"	0.10089
"National Defense Commission"	0.100106
"China Central Committee"	0.0990754
"Party School"	0.0990091
"State Law and Order Restoration Council"	0.0988648
"State Education Commission"	0.0984513
"political commissar"	0.0979909
Councillor	0.0978063
"Revolutionary Command Council"	0.0976562
"House Budget Committee"	0.0974359
"State Planning Commission"	0.0966061
Vice-Premier	0.0963306
"International Department"	0.0962874
"Hong Kong Federation"	0.0961396
"Li Lanqing"	0.0956264
"Association for Relations Across"	0.0946208
"Chinese Olympic Committee"	0.0943651
CSRC	0.092275
"All-China Youth Federation"	0.0919708
"vice- chairman"	0.0911866
"Ding Guangen"	0.089949
"Ismail Amat"	0.0896789
CPPCC	0.089285
"General Political Department"	0.0890274
"Eighth National Committee"	0.0876429
NPC	0.0875646
"National People"	0.0873209
"China Association for Science"	0.0872753
"Ministry of Justice"	0.0864227
"Preparatory Committee"	0.0859988
"Phan Van Khai"	0.0859716
"Chinese People"	0.0856169
"China Securities Regulatory Commission"	0.0855676
"Senate Appropriations Committee"	0.0852389
"Liu Huaqing"	0.0845437
"vice chairman"	0.0843591
"Beijing Municipal Government"	0.0841518
"China Society"	0.0839206
"Wu Yi"	0.0838306
"Communist Party of China"	0.0834871
"Ministry of Culture"	0.0832321
"Zhu Lin"	0.0829965
"Ministry of Science"	0.0820866
"Wu Bangguo"	0.0819147
"Zeng Qinghong"	0.0818604
"Peng Peiyun"	0.0814107
Presidium	0.0804288
"Organizing Committee"	0.080309
"Yu Yongbo"	0.0803017
"House International Relations Committee"	0.078828
"People's Liberation Army"	0.0779991
"Senate Foreign Relations Committee"	0.0777539
"Dai Bingguo"	0.077564
"Wang Yingfan"	0.0771645
"Ways and Means Committee"	0.0767872
"general staff"	0.0766711
Councilor	0.0758071
"Supreme Soviet"	0.0753971
"planning commission"	0.0753962
"Foreign Affairs Committee"	0.0752889
"patent office"	0.0751655
"Wei Jianxing"	0.0743675
"China National Tourism Administration"	0.0739539
vice-chairman	0.0739039
NRM	0.0735236
"Federation Council"	0.0732906
SPDC	0.0732097
"Executive Committee"	0.0729652
CNTA	0.0729199
"Housing Authority"	0.0727268
"Council of State"	0.0725925
"general secretary"	0.0722375
"Fu Quanyou"	0.0722202
"Rules Committee"	0.0721164
"Nationality Law"	0.071875
"Third Plenary Session"	0.0717771
"CPC Central Commission for Discipline Inspection"	0.0715361
"State Councilor"	0.0711747
"Senate Commerce Committee"	0.0708431
Politburo	0.0708154
vice-chairmen	0.070788
"National Congress"	0.0702944
"Zhang Wannian"	0.0698437
"Great Hural"	0.0695328
"Wang Zhaoguo"	0.0693903
"Tang Jiaxuan"	0.0693572
"Provisional Urban Council"	0.0693152
"Special Administrative Region"	0.068931
"Joint Liaison Group"	0.0686185
CCF	0.0684721
"Li Peng"	0.068301
"Foreign Relations Committee"	0.0678837
"Council of Ministers"	0.0675394
"Qian Qichen"	0.067048
"Banking Committee"	0.0668749
"Ministry of Internal Trade"	0.066873
"Senate Governmental Affairs Committee"	0.0665737
"Zhu Rongji"	0.0664279
"House Government Reform Committee"	0.0664114
"People's Republic of China"	0.066349
"Public Security Ministry"	0.0661411
"Red Cross Society"	0.0661107
"Xie Zhenhua"	0.0658654
"Ministry of Public Health"	0.065796
"Senate Budget Committee"	0.0656333
"Wang Yeping"	0.0649768
BOI	0.064905
Secretariat	0.0647299
"Ministry of Public Security"	0.064723
"Ford Motor Company"	0.0644172
"China Federation"	0.0643635
"Third Plenum"	0.0642884
SEF	0.0642358
"Provisional Ruling Council"	0.0641803
"Senate Finance Committee"	0.0636881
"South Pacific Forum"	0.0632517
"Tibet Autonomous Region"	0.0631425
"Lu Ping"	0.06292
"State Economic and Trade Commission"	0.0624946
"Badminton Association of Indonesia"	0.0622484
Procuratorate	0.0619467
"Jia Qinglin"	0.0617941
"House Ways and Means Committee"	0.0617635
"Israeli Cabinet"	0.061595
"House Appropriations Committee"	0.0615011
"Li Ruihuan"	0.0614225
CSA	0.0614056
CCPIT	0.0611403
CCM	0.0610392
"Cao Zhi"	0.0603898
"Senate Judiciary Committee"	0.060324
"Straits Exchange Foundation"	0.0602707
"Liberation Army"	0.059855
"House Banking Committee"	0.0597566
"executive council"	0.0596371
"Ministry of Personnel"	0.0595905
CEC	0.0592642
"Ministry of Civil Affairs"	0.0592256
"National Tourism Administration"	0.0591459
"State Administration of Cultural Heritage"	0.0590901
"Ethics Commission"	0.0590054
"Tian Jiyun"	0.0587338
"Olympic Committee"	0.0584837
"Ministry of Communications"	0.0578196
"General Administration of Customs"	0.0576684
Sumaye	0.0574662
"Consultative Assembly"	0.0574402
"Russian Duma"	0.0573587
"Edmund Ho Hau Wah"	0.0572943
procurator-general	0.0571652
WIPO	0.0570097
"National League for Democracy"	0.0569158
"International Society"	0.0568677
"Senate Armed Services Committee"	0.0567707
"State Forestry Administration"	0.0566705
AmCham	0.0563664
Zhenyu	0.0562919
"Nevada Athletic Commission"	0.0561921
"Russian State Duma"	0.0559442
"Pacific Exchange"	0.0559239
Tella	0.0557717
NSC	0.0557123
"Congressional Black Caucus"	0.0555986
ICA	0.055471
))
("Central Mindanao" (desc 1348.05) (sims
Buldon	0.216214
Mindanao	0.179915
Maguindanao	0.157019
"Southern Philippines"	0.12165
Basilan	0.110992
Jolo	0.106949
"Democratic Republic of Congo"	0.106772
Cotabato	0.094798
Solomons	0.0922152
"Democratic Republic"	0.0730372
"Democratic Republic of the Congo"	0.0716986
"North Caucasus"	0.0695274
"Liberian capital"	0.0690085
Dagestan	0.0675855
"South Mogadishu"	0.0675769
"Guinea Bissau"	0.0664981
Labuan	0.0663498
Kisangani	0.06354
Bissau	0.0626231
CHT	0.0606812
Ambon	0.0595221
"Jaffna Peninsula"	0.0589646
"Bekaa Valley"	0.057918
"Philippine News Agency"	0.0575106
Atambua	0.0573588
Caucasus	0.0565928
"Solomon Islands"	0.0560807
Brazzaville	0.0554613
"South Lebanon"	0.0553416
"Northern Province"	0.0552215
"Balkan state"	0.0539765
Aceh	0.0538664
Vladikavkaz	0.0535179
"KwaZulu-Natal Province"	0.0527076
Zamboanga	0.0502767
"Democratic Congo"	0.0499671
"Subic Bay"	0.0495889
"Great Lakes Region"	0.0492776
Abkhazia	0.0492772
Kargil	0.048106
leone	0.0479891
Norte	0.0472452
"Eastern Province"	0.0467356
"Central African Republic"	0.0466971
"Shenzhen Special Economic Zone"	0.0461752
Jammu	0.0456457
Reston	0.0451258
"Chittagong Hill Tracts"	0.0435558
"Asia-Pacific Region"	0.043365
Burlingame	0.0432896
"April, @@@@"	0.0429374
Bradenton	0.0424166
"North Mogadishu"	0.0418748
Vlore	0.0418215
Jaffna	0.0416632
Bloemfontein	0.0416054
"combat zone"	0.0413627
Daghestan	0.0408709
Kyushu	0.0407873
Gulu	0.0407724
Makeni	0.0407543
"Balkan nation"	0.0406858
Orahovac	0.040205
))
("central nervous system" (desc 4091.79) (sims
"nervous system"	0.237773
"inner ear"	0.166847
pancreas	0.153406
"spinal cord"	0.152805
spleen	0.149956
"digestive tract"	0.148851
"digestive system"	0.14718
retina	0.140128
lung	0.139138
"bone marrow"	0.134258
brain	0.134105
kidney	0.116876
liver	0.116572
thyroid	0.115361
intestine	0.113656
"connective tissue"	0.110812
esophagus	0.108922
"heart muscle"	0.106093
"vital organ"	0.103385
"brain stem"	0.102447
"blood vessel"	0.101233
prostate	0.0993901
"heart valve"	0.0956394
bladder	0.0946008
cortex	0.0933143
"brain cell"	0.0834751
hippocampus	0.0825734
cornea	0.0809547
sinus	0.0771289
nerve	0.0770967
ovary	0.0767971
tissue	0.0752731
"internal organ"	0.0746557
"circulatory system"	0.0734264
"vocal cord"	0.0714795
"lymph node"	0.0709107
bowel	0.0706747
colon	0.0699383
stomach	0.065535
digestion	0.063366
gizzard	0.0628827
larynx	0.0628698
spine	0.0626713
"traffic cop"	0.0619523
diaphragm	0.0613384
airway	0.0612284
lining	0.0611672
tonsil	0.0610789
uterus	0.0591278
"large intestine"	0.0589177
membrane	0.0585501
"muscle cell"	0.0581249
"human body"	0.0577986
abdomen	0.057089
tract	0.0570069
"liver disease"	0.0555096
"nerve cell"	0.0552192
tumor	0.0543149
bloodstream	0.0533385
penis	0.0530853
brawn	0.052447
"blood cell"	0.0522121
follicle	0.0518693
"white blood cell"	0.0506494
cartilage	0.0499928
"cancer cell"	0.0494022
eardrum	0.049215
testicle	0.0489781
udder	0.0488588
"lingua franca"	0.0483357
marrow	0.0479921
artery	0.0478212
"biological clock"	0.0468644
innards	0.0468003
"three schools"	0.0465441
cervix	0.0459755
sickle	0.0451686
pelvis	0.0451484
circuitry	0.045055
"safety valve"	0.04473
scalp	0.044685
rotavirus	0.0442491
arousal	0.0441616
metabolism	0.0440292
"hard disk"	0.0439449
neuron	0.0436675
"prostate gland"	0.0436362
"sexual desire"	0.0433349
rectum	0.0432823
"guardian angel"	0.0432604
"Manhattan Project"	0.0432461
receptor	0.0427031
gland	0.0424576
tendon	0.041542
ebola	0.0412065
atherosclerosis	0.0407716
"lung cancer"	0.040415
torchbearer	0.0404113
"heart failure"	0.0403158
breathing	0.0400128
))
("central office" (desc 5294.51) (sims
"Orange PLC"	0.0647682
"Japanese Embassy"	0.0624676
KPN	0.0572723
atm	0.0557882
"local area network"	0.0539775
"Home Ministry"	0.0531417
"Kosovo Verification Mission"	0.0502231
"branch office"	0.0490865
"telephone network"	0.0476068
"control board"	0.0474145
"service station"	0.0468469
"telephone system"	0.0461214
"U S West"	0.0451813
substation	0.0444831
GSM	0.0442996
"savings bank"	0.0431832
"U.S. Embassy"	0.0423231
"governing board"	0.0422245
avionics	0.0420986
"police department"	0.0419287
"back office"	0.0418865
"post office"	0.0417309
"SBC Communications Inc."	0.0415691
"slush fund"	0.0412538
DSL	0.0402623
"bus terminal"	0.040172
))
("Central Organ" (desc 1534.48) (sims
"Group of Rio"	0.1647
"Inter-Governmental Authority on Development"	0.158788
"South Pacific Forum"	0.147955
"Council of Ministers"	0.146471
"Organization of African Unity"	0.145816
"Economic Cooperation Organization"	0.139944
"European Council"	0.137984
"Organization of Islamic Conference"	0.132455
"CPC Central Commission for Discipline Inspection"	0.130575
"Congress Working Committee"	0.122674
"Revolutionary Command Council"	0.121492
"Organisation of African Unity"	0.118613
"Central Council"	0.118144
"Provisional Ruling Council"	0.115049
"North Atlantic Council"	0.114496
"Human Rights Commission"	0.111416
"Salim Ahmed Salim"	0.111265
"Jerusalem Committee"	0.110835
sub-commission	0.109088
"Common Market for Eastern and Southern Africa"	0.108173
"Meles Zenawi"	0.107366
"Commonwealth Ministerial Action Group"	0.107087
"Group of Seven"	0.103921
"Economic Community"	0.103741
"Rio Group"	0.103085
"World Health Assembly"	0.102734
"U.N. Human Rights Commission"	0.101102
"Group of @@"	0.101091
"Arab Parliamentary Union"	0.100531
"African Economic Community"	0.10041
OAU	0.100404
"Palestine National Council"	0.0998658
KPU	0.0988661
"Palestinian Council"	0.098452
"Organization for Economic Cooperation and Development"	0.0982858
"Eighth National Committee"	0.0974665
"Inter-Parliamentary Union"	0.0961169
"Executive Board"	0.0958717
"United Nations Security Council"	0.0951491
"Non-Aligned Movement"	0.0945642
"Southern Africa Development Community"	0.0941698
"PLO Executive Committee"	0.0941106
"Israeli Knesset"	0.0938744
"National Council"	0.0933249
"Joint Commission"	0.0929242
G-@@	0.0907981
"Economic and Social Council"	0.089556
Ikimi	0.0894994
"Secretary General Esmat Abdul-Meguid"	0.0873354
ESCAP	0.0872383
"American Psychiatric Association"	0.087116
"General Council"	0.0870863
"Joint Military Commission"	0.0863184
JMC	0.0861979
"UN Security Council"	0.0858279
"Olympic Council of Asia"	0.0854026
"Executive Committee"	0.0851754
"Southern African Development Community"	0.0848516
"de Charette"	0.0845357
al-Sahaf	0.0842789
"South Asian Association for Regional Cooperation"	0.0837753
G-@	0.0829715
"Secretary General"	0.0827802
"Economic Community of West African States"	0.08233
ZCTU	0.0822637
"Organization of Petroleum Exporting Countries"	0.081612
"Federal Open Market Committee"	0.0815942
"Federal Council"	0.0814662
"Congressional Black Caucus"	0.0810207
"Palestinian Legislative Council"	0.0799566
"United Nations Conference on Trade and Development"	0.0798879
Meguid	0.0789257
"Monetary Policy Committee"	0.0787933
"Sino-British Joint Liaison Group"	0.0783977
"Palestinian National Council"	0.0783876
"U.N. Conference"	0.0782739
"executive council"	0.0779724
NSC	0.077911
PNC	0.0776371
"Supreme Council"	0.0775624
"Israeli Cabinet"	0.0772641
"National Executive Committee"	0.0768996
"American Psychological Association"	0.0768196
OIC	0.0765639
"Frederick Sumaye"	0.0765523
eco	0.0762238
"Asia-Europe Meeting"	0.0758923
ECOWAS	0.0758728
"military commission"	0.0757777
taskforce	0.075635
"Supreme Soviet"	0.0755609
Juma	0.0750176
"Special Session"	0.0748972
"Central Commission for Discipline Inspection"	0.0743976
"Palestinian Central Council"	0.0741155
"Contact Group"	0.0738639
"Secretary General Esmat Abdel-Meguid"	0.0738385
"Alcoholics Anonymous"	0.0737694
"South American Common Market"	0.0731934
"Russian Foreign Ministry"	0.0730791
"International Maritime Organization"	0.0729008
"Texas Legislature"	0.0726384
"Group of Eight"	0.0725826
"United Nations Conference"	0.0717939
JLG	0.0716043
"Ethiopian Airlines"	0.0715925
"Second Session"	0.0708695
"Congress (NPC) Standing Committee"	0.070821
"Asia Pacific Economic Cooperation"	0.070792
"Arab League"	0.0706647
CWC	0.0704556
"interim committee"	0.0700052
MPR	0.0697489
"Secretary-General Boutros Boutros-Ghali"	0.068829
"American Association"	0.0687427
"chief of state"	0.0685979
"Turkish Foreign Ministry"	0.0683727
China-U.S.	0.0683243
Meles	0.0683203
"Russian Security Council"	0.0682973
"International Society"	0.0682881
"Association of Southeast Asian Nations"	0.0681604
Azad	0.0681449
Kasoulides	0.0679844
"Common Market"	0.0677873
"General Committee"	0.0677515
"Constitutional Assembly"	0.0675094
"International Civil Aviation Organization"	0.06737
"Consultative Assembly"	0.0669025
"Universal Postal Union"	0.066385
"Damascus Declaration"	0.0663103
Kumaratunga	0.0661673
"Upper House"	0.0661326
Juppe	0.0655269
"steering committee"	0.0646827
Guterres	0.0645363
"Sanctions Committee"	0.0645074
"Organization of American States"	0.0644008
"Ninth National Committee"	0.0640655
"National Abortion and Reproductive Rights Action League"	0.0640208
Ikeda	0.0639991
"First Session"	0.0639088
"World Bank Group"	0.0634307
"American Heart Association"	0.0633137
"Gulf Cooperation Council"	0.0632124
Russian-U.S.	0.0628569
CITES	0.0622814
ASEM	0.0621823
"State Bureau of Environmental Protection"	0.062162
"governing board"	0.0621089
al-Sahhaf	0.0619234
WEU	0.0619176
"ASEAN Ministerial Meeting"	0.0617877
"Political Department"	0.0614378
GCC	0.0613085
"Parliamentary Assembly"	0.0611971
"Commission on Human Rights"	0.060912
"International Labor Organization"	0.0607664
"European Parliament"	0.0606349
Jayakumar	0.0605921
"Ninth CPPCC National Committee"	0.0602808
"World Petroleum Congress"	0.06012
plc	0.0599147
"Preparatory Committee"	0.0596095
"Great Hural"	0.0592639
D-@	0.0589999
Gowda	0.058702
Holl	0.0586499
"South Summit"	0.0586233
"Tim Fischer"	0.0584277
"Guardian Council"	0.0583978
"Paris Club"	0.0583613
Kharrazi	0.0577818
Alarcon	0.057636
Koirala	0.0576017
"Board of Governors"	0.0574636
"Council of State"	0.0573105
"Third Session"	0.056954
Abdel-Meguid	0.0569068
al-Nahyan	0.0567338
PML	0.0563759
Pangalos	0.0563131
"World Economic Forum"	0.0561928
PCC	0.0561221
"Central Committee"	0.0558613
UPU	0.0557526
"Greek Orthodox Church"	0.0556417
"Ministerial Conference"	0.0555608
"Congress Standing Committee"	0.0553415
al-Bashir	0.055338
"Speaker Ali Akbar Nateq-Nouri"	0.0552373
IGAD	0.0551304
"Health and Welfare Ministry"	0.0551161
Histadrut	0.0550878
"Federation Council"	0.0550749
"Iranian Foreign Ministry"	0.0548935
"International Badminton Federation"	0.0548665
Shareh	0.0547765
"Asia-Pacific Economic Cooperation"	0.0547127
"International Federation"	0.0544964
))
("Central Park" (desc 20824.3) (sims
park	0.0921903
"Times Square"	0.0858706
"East River"	0.080889
"parking lot"	0.0788071
square	0.0739221
"Bryant Park"	0.0724553
plaza	0.0674591
"Rockefeller Center"	0.0645694
"The Bronx"	0.0641196
"Madison Square Garden"	0.0640253
Capitol	0.0634624
neighborhood	0.0629816
borough	0.062245
backyard	0.0614571
"East Village"	0.0606827
"Carnegie Hall"	0.0601911
Cathedral	0.0600536
"Fifth Avenue"	0.0595135
"New York City Marathon"	0.0594168
Manhattan	0.0585107
"Brooklyn Bridge"	0.0582693
garden	0.0582622
courtyard	0.0581873
"World Trade Center"	0.0578419
Chinatown	0.0576303
"Grand Central Terminal"	0.0569895
Harlem	0.056446
"Staples Center"	0.0556583
"Hudson River"	0.055585
"Yellowstone National Park"	0.0554756
"Tiananmen Square"	0.0553344
"city hall"	0.0551142
nightclub	0.0548341
Midtown	0.054639
Brooklyn	0.0545641
"Lincoln Center"	0.0543733
"San Francisco Bay"	0.0538798
mall	0.0536253
desert	0.0528502
"Greenwich Village"	0.0525828
"back yard"	0.0523388
"French Quarter"	0.0523291
subway	0.0523221
stadium	0.0522988
"Park Avenue"	0.0519592
"Radio City Music Hall"	0.0516616
"Madison Avenue"	0.0515803
suburb	0.0514657
cemetery	0.0511552
courthouse	0.0511547
downtown	0.0506971
"Yankee Stadium"	0.0503505
"San Fernando Valley"	0.0501753
"subway station"	0.0498632
campus	0.0490913
"Union Square"	0.0487373
"Olympic Stadium"	0.0485814
cafeteria	0.0485217
Alley	0.0484267
valley	0.048416
"Eiffel Tower"	0.0482165
auditorium	0.0480629
"Penn Station"	0.0479599
Adirondacks	0.0478413
countryside	0.0474122
gym	0.0473169
"town hall"	0.047279
clubhouse	0.0471921
"Shea Stadium"	0.0469067
garage	0.0468979
Paris	0.0468843
Buckhead	0.04684
jungle	0.0468029
"Las Vegas"	0.0465222
arena	0.0461719
hallway	0.0460785
"Staten Island"	0.0458724
"hotel room"	0.0456977
Berlin	0.0456792
"opera house"	0.0456495
"San Francisco"	0.0455604
ballroom	0.0455551
"New York City"	0.0452137
"Tiger Stadium"	0.0451853
"city center"	0.0451752
Soho	0.0449017
"Empire State Building"	0.0448985
"Metropolitan Museum of Art"	0.0444808
"Red Square"	0.0443603
"Metropolitan Opera"	0.044167
yard	0.0439232
"Pacific Ocean"	0.0438554
"Forbidden City"	0.0438275
"front yard"	0.0436155
cyberspace	0.0435495
"voting booth"	0.0434613
gymnasium	0.0433624
canyon	0.0432697
harbor	0.0432528
"dining room"	0.043236
gorge	0.0431909
"New England"	0.0430233
"swimming pool"	0.0428825
"Tel Aviv"	0.042698
"Atlantic City"	0.0425912
"Victoria Harbor"	0.0423621
Havana	0.0422884
"Devil Stadium"	0.0422798
daylight	0.0422017
"St. Petersburg"	0.0421597
"Gaza Strip"	0.0421193
"Cape Town"	0.0420212
"Westchester County"	0.0419832
rink	0.0418964
intersection	0.0418212
bathroom	0.0417336
Pittsburgh	0.0416042
"Lake Michigan"	0.0414837
"Fort Worth"	0.0414283
Alps	0.0413255
"locker room"	0.0413061
tunnel	0.0412688
mosque	0.041217
Phoenix	0.0411885
"living room"	0.0411706
JOHANNESBURG	0.0411631
"street clothes"	0.0411319
Sydney	0.0411156
lake	0.041067
"emergency room"	0.04105
Sacramento	0.040956
"rose garden"	0.040843
"Upper West Side"	0.0407987
"grocery store"	0.0407925
lane	0.0406555
"Park City"	0.0406065
synagogue	0.0406014
Broadway	0.0405801
Yellowstone	0.0405013
wilderness	0.0404766
Ballpark	0.0404431
"El Paso"	0.0403833
pub	0.0403792
Woods	0.0402845
"East Room"	0.0402652
Tokyo	0.0401968
))
("Central Park West" (desc 2241.78) (sims
"First Avenue"	0.207111
"Park Avenue"	0.193235
"Lexington Avenue"	0.156437
"Fifth Avenue"	0.149735
"Seventh Avenue"	0.147635
"Eighth Avenue"	0.140151
"Upper West Side"	0.13327
"Second Avenue"	0.0997741
"Upper East Side"	0.0987021
"west side"	0.0968082
"Madison Avenue"	0.093049
"east side"	0.0849442
Bowery	0.0761128
"Lower East Side"	0.0739992
"Beacon Hill"	0.0729331
"south side"	0.0668287
"Left Bank"	0.0653418
"first floor"	0.063569
"north side"	0.0616915
"East Village"	0.0592366
Fillmore	0.0590799
"subway station"	0.0586436
taskbar	0.0583162
footpath	0.0579248
"skid row"	0.0575491
alleyway	0.055385
"South Beach"	0.0542294
"ground floor"	0.0538442
CityWalk	0.0528592
"Columbus Circle"	0.0524499
"Staten Island"	0.0519343
tenement	0.0507182
brownstone	0.0501548
penthouse	0.049981
"row house"	0.0496741
"Brooklyn Heights"	0.0496055
lakefront	0.049317
"Lake Michigan"	0.0491032
"roller skate"	0.0490487
"vacant lot"	0.0470087
Stockbridge	0.0468047
"Century City"	0.0465245
"Miami Beach"	0.0464238
"Pennsylvania Avenue"	0.0459514
"Outer Banks"	0.0456502
"West Village"	0.045386
Peachtree	0.0448596
Tribeca	0.0446924
"public square"	0.0445061
Seizinger	0.0444516
Bronx	0.0444052
"car park"	0.0441722
"Ellis Island"	0.0440504
"picket fence"	0.0433972
"Hudson River"	0.0432876
solstice	0.0430771
"Rainbow Room"	0.0430389
treetop	0.0423266
"Appalachian Trail"	0.0422164
boardwalk	0.0414375
"Peachtree Street"	0.0413842
Zabar	0.0412569
"parking area"	0.0411349
off-campus	0.0408425
"Golden Gate Bridge"	0.0408393
"New York State Theater"	0.0407962
"Cape Cod"	0.0405569
"Treasure Island"	0.040166
Seine	0.0400121
))
("Central Province" (desc 1157) (sims
"Western Province"	0.282916
"Eastern Province"	0.269727
"Southern Province"	0.206199
"Rift Valley Province"	0.2034
"Northern Province"	0.177861
"Paul Tergat"	0.13303
"Charles Mukora"	0.132113
"rift valley"	0.118284
"Bernard Barmasai"	0.116972
"Daniel Komen"	0.109666
"Tegla Loroupe"	0.10826
"Electoral Commission"	0.0979115
"Susanthika Jayasinghe"	0.0879998
"Criminal Investigation Department"	0.0822386
"Export Processing Zones"	0.0814039
"Moses Tanui"	0.0768694
"Internal Affairs"	0.076462
Makhachkala	0.0748822
"United Republic of Tanzania"	0.0664631
"Serbian Republic"	0.0638952
Kandy	0.0617551
Punjab	0.0614292
"Civil Aviation"	0.0605355
Balkanization	0.0595077
breadbasket	0.0594896
"Human Rights Commission"	0.0585284
"Warren County"	0.0576044
"debt service"	0.0556172
"Jaffna Peninsula"	0.0551029
Bihar	0.0544925
Nyanza	0.0544044
"Pitt County"	0.0533885
Karnataka	0.0523354
"Mekong Delta"	0.0522753
"Australian state"	0.0521705
"copper mine"	0.0508756
Patrimony	0.0500552
"Central Java"	0.0497448
"Immigration Department"	0.0493596
"Board of Investment"	0.049227
"Bekaa Valley"	0.0491802
"Demilitarized Zone"	0.0487077
"National Council of Churches"	0.0471798
"merchant marine"	0.0471055
"Shan State"	0.0467998
"Trade and Industry"	0.0467731
Vilnius	0.046749
"British Foreign Office"	0.0466108
plainclothes	0.0465703
"Street Crime Unit"	0.0465391
"patent office"	0.0456152
"Home Affairs"	0.045614
"Court of Appeal"	0.0450443
"Nuevo Laredo"	0.0450057
"elephant population"	0.0444223
"Water Resources"	0.0444137
"NATIONAL SECURITY"	0.0441359
"New Territories"	0.0439836
Copperbelt	0.0439589
"Foreign Relations"	0.0439157
Cicero	0.0438797
Stillwater	0.0438527
"Chittagong Hill Tracts"	0.0434308
"Golden Triangle"	0.0433349
"Dade County"	0.0431905
Kwazulu-Natal	0.0431441
"more than @@ inches"	0.0430088
"Olympic Committee"	0.0428268
"Foreign Affairs"	0.0427833
coastguard	0.0427429
"First @ Months"	0.0423486
SEPA	0.0422076
"Republic of Ireland"	0.0421568
"North Island"	0.0420601
"Housing Authority"	0.0416359
"Southern Philippines"	0.0415304
"Commerce and Industry"	0.0412413
"North West Frontier Province"	0.0411119
"Tarim Basin"	0.0409894
Holyoke	0.0408116
"Up to @ inches"	0.0407342
"French capital"	0.04067
"East Java"	0.0405637
Vallejo	0.0402666
"Grand Canyon National Park"	0.0401153
"Cook Islands"	0.0400183
))
("Central Station" (desc 2273.33) (sims
"True Thing"	0.148892
"American Beauty"	0.115118
"Being John Malkovich"	0.113687
"Eyes Wide Shut"	0.107732
"High Art"	0.101411
"Erin Brockovich"	0.0966007
"Smoke Signals"	0.0950851
"Fight Club"	0.0927127
"chicken run"	0.091519
"Thin Red Line"	0.0903146
"Saving Private Ryan"	0.0887681
"Simple Plan"	0.0882158
"Double Jeopardy"	0.0864023
Ronin	0.085962
"Get Real"	0.0853741
"Life Is Beautiful"	0.0853561
"Good Will Hunting"	0.0833526
Rushmore	0.0828353
"Mighty Joe Young"	0.0823865
"Fernando Henrique Cardoso"	0.0820267
"Cider House Rules"	0.0804309
Pleasantville	0.0788116
Magnolia	0.0777328
Elizabeth	0.0767442
"Little Voice"	0.0760391
"Cradle Will Rock"	0.0759846
"Green Mile"	0.0741921
Sissi	0.0737106
Antz	0.0735813
"Jerry Maguire"	0.0733171
ROUNDERS	0.0732362
Bovespa	0.0720655
tumbleweed	0.0715427
affliction	0.0714412
"Meet Joe Black"	0.0708783
"Night Fever"	0.0708712
Embraer	0.07003
"sixth sense"	0.06932
"American Pie"	0.0693084
"Cruel Intentions"	0.0689185
"Toy Story"	0.0679492
"L.A Confidential"	0.0675936
"Civil Action"	0.0675567
"Boogie Nights"	0.0670219
stepmom	0.0660923
psycho	0.0657248
"English Patient"	0.0656382
"Blair Witch Project"	0.0655997
"Velvet Goldmine"	0.0651142
"Titan A.E."	0.0649909
"Cosby Show"	0.0647463
"Natural Born Killers"	0.0646597
"snake eyes"	0.0640711
"DEEP BLUE SEA"	0.0638093
Gama	0.063689
McKellen	0.0635387
"Roberto Benigni"	0.0634725
"Patch Adams"	0.0625591
"Pulp Fiction"	0.0616843
Bulworth	0.0615682
"Nurse Betty"	0.0613742
Trainspotting	0.0612423
Flamengo	0.0602656
PETROBRAS	0.0601628
Mumford	0.0599764
"high fidelity"	0.0596624
Tootsie	0.0584796
"Thomas Crown Affair"	0.0580566
corinthian	0.0578618
"Stuart Little"	0.057782
"Runaway Bride"	0.0568534
U-@@@	0.0566213
"Opium War"	0.0562121
"Dirty Dancing"	0.055723
"Big Daddy"	0.0554466
"Scary Movie"	0.0550179
Schindler	0.0546138
"Forrest Gump"	0.0542135
pi	0.0541135
"Mod Squad"	0.0539895
"Varsity Blues"	0.053728
Gladiator	0.0536103
"Animal House"	0.0526531
Jawbreaker	0.0520805
takedown	0.0517207
"Truman Show"	0.0512907
Mulan	0.051174
"Blair Witch"	0.0510302
"Apt Pupil"	0.0509431
"Animal Farm"	0.0509399
"JOHN TURTURRO"	0.0508491
Hilary	0.0504564
strikeforce	0.0502129
"Very Bad Things"	0.049981
Lolita	0.0497484
"Mickey Blue Eyes"	0.0496808
"Red Violin"	0.0496042
"Fernando Meligeni"	0.0494753
entrapment	0.0493616
FARGO	0.0491683
"Hollow Man"	0.0491264
"Iron Giant"	0.049113
Stigmata	0.0490089
"Christian Bale"	0.0487457
"Wild Wild West"	0.0485703
Amadeus	0.0482441
Goodfellas	0.0481052
"Peony Pavilion"	0.0475263
Matrix	0.0474643
Edmundo	0.0472798
Fantasia	0.0470348
"Galaxy Quest"	0.0469594
Footloose	0.0468683
LIMEY	0.0468665
EdTV	0.0464308
Amistad	0.0461752
"Princess Mononoke"	0.0460013
E.T	0.0459808
Pinocchio	0.0455873
tango	0.0454436
Palmeiras	0.0453733
"best man"	0.0452915
Hurlyburly	0.0452367
"Meryl Streep"	0.0450408
"Lake Placid"	0.0448168
"costume designer"	0.0444616
"Blade Runner"	0.0444054
"Catherine Deneuve"	0.0440462
Benigni	0.0440101
simpatico	0.0437875
"Citizen Kane"	0.0436018
"musical performance"	0.0435775
"Space Cowboys"	0.0435209
"Vanessa Redgrave"	0.0433058
"Notting Hill"	0.0430578
Varig	0.0429339
Sabrina	0.0418094
"Toy Story @"	0.0416569
"Phantom Menace"	0.0416327
"sliding door"	0.0415209
Thelma	0.0414899
"pitch black"	0.0414423
"Tom Hanks"	0.0412566
"Austin Powers"	0.0406503
wonderland	0.0406076
"Primary Colors"	0.0403829
Tarzan	0.0403366
dogma	0.0401858
"Blue Room"	0.0401471
"Old Town"	0.0400586
Wilde	0.0400496
))
("Central Texas" (desc 4458.25) (sims
"South Texas"	0.102069
"West Texas"	0.0992455
"Pitt County"	0.0852024
"Hill Country"	0.0848041
"Miami Valley"	0.0842224
Ozarks	0.0814652
"South Georgia"	0.0794
"North Texas"	0.0752649
"East Texas"	0.0718207
"Bay State"	0.0685002
"Bay Area"	0.0668369
"Northern California"	0.0623337
Kandy	0.0618363
"East Bay"	0.0605759
"South Florida"	0.0596284
non-Indian	0.0595265
"Antelope Valley"	0.0593337
"Greater Boston"	0.0588501
"Southern California"	0.0579054
"Hudson Valley"	0.0578974
"North Georgia"	0.0576133
Midwest	0.0571239
"Warren County"	0.0570694
Appalachian	0.0568959
"Florida Panhandle"	0.0566769
"San Marcos"	0.0555808
Galilee	0.0553075
"San Fernando Valley"	0.0548431
"Nile Delta"	0.0536094
"Bergen County"	0.0533509
"Central Valley"	0.0531779
"Wichita Falls"	0.053142
"Rio Grande Valley"	0.0526599
southland	0.0519795
panhandle	0.0519003
"San Diego County"	0.0516733
"West Virginia"	0.0515479
Rockdale	0.051451
"South Bay"	0.0507165
"Pacific Northwest"	0.050568
Vavuniya	0.0502621
"Mojave Desert"	0.0500895
"North Dakota"	0.0500481
"New Mexico"	0.049894
bethel	0.0496933
Bekaa	0.0491667
Wallingford	0.0486994
lakeside	0.0486655
riverside	0.0481271
Mississippi	0.0480068
"close to @@,@@@"	0.0478752
Ijaw	0.0478119
"San Joaquin Valley"	0.0477275
Kitgum	0.0476171
Zhangbei	0.0472467
Decani	0.0469813
Larnaca	0.046639
"another nine"	0.0465421
Batticaloa	0.0464797
"Johnson County"	0.0464557
"Far Eastern"	0.0462664
Mbarara	0.0461836
"Gulf Coast"	0.0460826
Matamoros	0.0460712
"Twin Cities"	0.0459493
"Central Florida"	0.0458508
"Northern Irish"	0.0456944
Tangshan	0.0456096
Downstate	0.0455345
Marjayoun	0.0451105
Zhongguancun	0.0451016
"inner city"	0.0448181
"Central Java"	0.0446818
"Israeli Arab"	0.0446132
Alberta	0.0444238
state-level	0.0441245
Holyoke	0.0440632
"East Los Angeles"	0.0437459
Lijiang	0.0433416
"roughly @@,@@@"	0.0433103
"Bekaa Valley"	0.0431797
"Sonoma County"	0.0431726
Trincomalee	0.0430076
deadend	0.0429861
Piedmont	0.0429274
kc	0.042906
"North Beach"	0.0428743
"Niger Delta"	0.042721
Sussex	0.0427155
Montclair	0.0426763
Nakuru	0.0426578
highland	0.0425705
Limassol	0.0423683
"North American"	0.042332
Plattsburgh	0.0420594
Kisumu	0.0420554
"Bible Belt"	0.0419931
"Eastern Washington"	0.0419252
Juarez	0.0418997
"Mississippi Delta"	0.0418701
"British Columbia"	0.0418537
Pacoima	0.0416935
"Yangtze River Delta"	0.0416644
"Chapel Hill"	0.0416037
Gulu	0.0416002
Westchester	0.0414838
"East Lake"	0.0414669
Appalachia	0.0412862
Northland	0.0411495
Alameda	0.0411391
Catskill	0.0410423
"San Pedro"	0.0410111
Fremont	0.0410099
"Orange County"	0.0409756
Woburn	0.040963
Montana	0.0409597
beachside	0.0409111
"West Los Angeles"	0.0409075
hinterland	0.0408008
ranching	0.0407479
"blink of an eye"	0.0406321
glade	0.0405954
"South Dakota"	0.0404895
Port-au-Prince	0.040406
"Central American"	0.0403784
Petaluma	0.0403783
Talipao	0.0403314
Oaxaca	0.0403274
"Long Island City"	0.040232
"Pearl River Delta"	0.0401394
))
("Central Valley" (desc 4719.56) (sims
"San Joaquin Valley"	0.192586
"Napa Valley"	0.127987
"Pacific Northwest"	0.0991983
"Sonoma County"	0.0909003
"Mojave Desert"	0.0885664
"Orange County"	0.0855803
"Hudson Valley"	0.0851395
Piedmont	0.0817517
"Rio Grande Valley"	0.0801611
"Great Plains"	0.0801102
"Mississippi Delta"	0.079661
Monterey	0.079631
"Warren County"	0.0791596
Bekaa	0.0784751
panhandle	0.0779487
"Ventura County"	0.0748782
"South Texas"	0.0743696
Peekskill	0.0727619
"Northern California"	0.0707105
Midwest	0.0697648
Napa	0.0695339
"Hill Country"	0.068525
"West Texas"	0.0678879
"San Luis Obispo"	0.0673289
"Williamson County"	0.0666897
hinterland	0.064697
"Eastern Washington"	0.0642005
riverside	0.0637122
"Bay Area"	0.063614
"San Fernando Valley"	0.0626532
Scarsdale	0.0616014
Sonoma	0.0613599
"Marin County"	0.0608741
"Sierra Nevada"	0.0605698
"Silicon Valley"	0.0602647
Cayuga	0.058703
Northland	0.0586019
"Tennessee Valley"	0.0580401
"South Georgia"	0.0578249
"North Island"	0.0573703
"Pacific Coast"	0.0572063
foothill	0.0557181
Flushing	0.0554689
Fresno	0.0552685
"Dutchess County"	0.0545376
"Rockland County"	0.0542076
Nevada	0.0541462
"Ohio Valley"	0.0541014
"Westchester County"	0.0536772
"Miami Valley"	0.0536062
Westchester	0.0535829
"British Columbia"	0.0533175
"Central Texas"	0.0531779
"congressional district"	0.0529449
Bakersfield	0.0527669
"Los Angeles County"	0.0525503
Chatham	0.0523195
"Southern California"	0.0522748
heartland	0.0519942
Wyoming	0.0516887
"Puget Sound"	0.0515204
"Dade County"	0.0513277
Oregon	0.0512097
"Bergen County"	0.0511517
"San Bernardino"	0.0510197
"sugar beet"	0.0507288
"West Los Angeles"	0.050684
highland	0.0505832
Elmira	0.0504236
Putumayo	0.0503996
"Great Neck"	0.0503778
Luzon	0.0502181
"North Georgia"	0.0501499
"Empire State"	0.0498474
Andes	0.0498379
Idaho	0.0497346
Gulu	0.0496579
"Northern Virginia"	0.0490843
Marjayoun	0.0488749
"Bible Belt"	0.0486815
"Rocky Mountain"	0.048502
"Pitt County"	0.0484823
oceanside	0.0481386
"West Virginia"	0.0481313
smallholder	0.0480819
"open primary"	0.0479854
Appalachians	0.047892
Chianti	0.0477733
"North Dakota"	0.0477053
"Channel Islands"	0.0475673
Ontario	0.0475469
Appalachian	0.0475387
Louisiana	0.0474924
"East Los Angeles"	0.0474871
"Santa Barbara"	0.0474781
Astoria	0.0473341
"New York State"	0.0472807
"La Jolla"	0.0471629
sierra	0.0468669
"New Mexico"	0.0467553
Rhone	0.0467355
barrios	0.046591
Xinjiang	0.0465811
"New Rochelle"	0.0465004
Riverdale	0.0464801
"Garden State"	0.0463926
"Red Hook"	0.0461714
Appalachia	0.0461372
Shaanxi	0.0459746
Plattsburgh	0.0457112
Jinja	0.0456103
midland	0.0454603
Oneida	0.0454039
Sussex	0.0454009
Alameda	0.0452522
Caprivi	0.0450765
"Gulf Coast"	0.0448421
Mendocino	0.0447086
Inglewood	0.0446816
Brentwood	0.0444112
"city state"	0.0443875
"fourth generation"	0.0443142
"Forest Hills"	0.0441361
"Saratoga Springs"	0.0440849
"Mississippi Valley"	0.0440114
Holyoke	0.0439851
"inner city"	0.0439124
Batticaloa	0.0437895
"South Florida"	0.043678
"picture postcard"	0.0435705
Zhangbei	0.0432627
"East Texas"	0.0432249
Lijiang	0.0430227
"Florida Panhandle"	0.04292
Galilee	0.0427965
Mindanao	0.042677
"Reagan Democrats"	0.0426026
"Palm Springs"	0.0422198
"Long Island City"	0.0421863
Americus	0.0421102
Saskatchewan	0.0420084
"farming area"	0.0419684
Montclair	0.0419297
Port-au-Prince	0.0419276
lowland	0.0419199
"river basin"	0.0418223
"Twin Cities"	0.0417611
Pomona	0.0417227
Catskills	0.0415831
"Bekaa Valley"	0.0415365
"Irish Republic"	0.0414402
"Garden City"	0.041339
"Golden Triangle"	0.0412694
Brownsville	0.0412664
Camden	0.0411702
Nakuru	0.041036
Tijuana	0.0410244
"Central America"	0.0409541
Cumberland	0.0408292
"South Bronx"	0.0408112
"North Texas"	0.0407929
"Fort Worth-Dallas"	0.0407623
Yorkshire	0.0403726
"Lower Saxony"	0.0403632
Carolinas	0.040218
"California wine"	0.0401853
Chappaqua	0.0401383
glade	0.0400901
Carthage	0.0400771
))
(centrality (desc 2973.99) (sims
desirability	0.078779
usefulness	0.073887
exigency	0.0721705
primacy	0.0712805
uniqueness	0.0710148
seriousness	0.0675121
urgency	0.0648376
relevance	0.0642203
non-use	0.0633495
potency	0.0623676
pervasiveness	0.0616693
fragility	0.0614984
universality	0.0601786
committment	0.0600827
feistiness	0.0598467
politicization	0.0597373
continuity	0.0574286
validity	0.0553451
enormity	0.0545743
artificiality	0.0544156
reorientation	0.0531879
dynamism	0.0523649
preeminence	0.0520941
keenness	0.0517297
infallibility	0.0512652
potentiality	0.0505847
applicability	0.0495557
resolving	0.0495523
interdependence	0.0494569
solving	0.0490195
immensity	0.0489894
redefinition	0.0487399
legality	0.0486326
sanctity	0.0486153
soundness	0.0486005
impartiality	0.0484764
cost-effectiveness	0.0474762
appropriateness	0.0471835
Judaization	0.0470089
imperatives	0.0458703
accoutrement	0.0458125
verity	0.0457942
assistances	0.0453855
superiority	0.0452447
crux	0.0451643
permanence	0.0451286
apotheosis	0.0444004
"Ninety-five percent"	0.0443934
nub	0.044124
newness	0.0437598
obeisance	0.0436437
underpinnings	0.043565
"golden rule"	0.0435318
"sense of purpose"	0.0430769
overview	0.0428695
legitimacy	0.0428009
"basic concept"	0.0421014
furtherance	0.0420429
"practical application"	0.0418012
"distinctive feature"	0.0417886
fulfilment	0.0416865
"critical point"	0.0415625
"legal status"	0.0413214
linkage	0.0412867
"sum total"	0.0411377
illegality	0.0410694
feasibility	0.0408759
parameter	0.0408558
shaping	0.0407493
unfairness	0.0404922
self-worth	0.040235
internationalization	0.0402293
))
(centralization (desc 1555.6) (sims
decentralization	0.122708
exigency	0.0997244
democratization	0.0900993
globalisation	0.0850741
forming	0.0829787
standardization	0.080946
politicization	0.0796978
devolution	0.0781375
interoperability	0.078015
"co- operation"	0.0769661
internationalization	0.0736841
abolishment	0.0716714
Intensification	0.0703547
realignment	0.0701022
"judicial branch"	0.070062
liberalisation	0.0692362
regionalization	0.0685565
diffusion	0.0680852
nationalization	0.067046
reappraisal	0.067016
assimilation	0.0669707
disintegration	0.0667856
interdependence	0.0664991
toppling	0.0638755
urbanization	0.0630004
pumping	0.06248
quirkiness	0.0618689
criminalization	0.0611595
militarization	0.0604211
"tooth decay"	0.060318
mechanization	0.0600299
inclusiveness	0.0599634
usurpation	0.0594221
gentrification	0.0576463
pooling	0.0573632
perquisite	0.0570643
fallibility	0.0568521
enabler	0.0567593
demobilization	0.0561615
enshrinement	0.0559141
lessening	0.055495
rawness	0.0549641
fulcrum	0.0544838
reorientation	0.054416
unification	0.0537938
Tightening	0.0535182
redefinition	0.0534461
dispersal	0.0530337
subordination	0.0523953
SA-@	0.0518846
destabilization	0.0517423
slackening	0.0515715
accoutrement	0.0514596
reactivation	0.0511845
fragmentation	0.0506979
Judaization	0.0498255
privatisation	0.0498164
"corporal punishment"	0.0496687
commercialization	0.0494007
looseness	0.0493416
aggregation	0.0493174
"public exposure"	0.0488589
safeguarding	0.0487818
Americanization	0.0486735
"Ninety-nine percent"	0.0486275
duplication	0.0485912
pluralism	0.0484106
broadening	0.0484097
lawmaking	0.048348
delinquency	0.048248
reformation	0.0480244
dilution	0.0474334
Balkanization	0.0472675
exertion	0.0472206
subversion	0.0469849
probity	0.0469654
outperformance	0.0469323
multipolarization	0.0463202
breakage	0.0462805
diminution	0.0461985
inviolability	0.0461174
virulence	0.0460206
retooling	0.0460102
reestablishment	0.0460021
polarization	0.0458353
reshuffling	0.0457078
locus	0.0456929
"juvenile delinquency"	0.0456697
interactivity	0.0456577
procreation	0.0453771
hardening	0.0449748
optimization	0.0447472
agglomeration	0.0444459
revamping	0.044432
complementarity	0.0444096
dissemination	0.043883
wooing	0.0438033
nepotism	0.0437669
harmonization	0.0437209
salinity	0.0436549
self-reliance	0.0434867
sensitization	0.0433441
"Full Monty"	0.0432219
responsiveness	0.0432122
miniaturization	0.0432038
malfeasance	0.0431634
ovulation	0.0431175
militancy	0.0430559
loosening	0.0428959
reins	0.0428507
wariness	0.0427581
socialization	0.0427384
harvesting	0.0426652
belt-tightening	0.0426555
redistribution	0.042612
pendulum	0.0424864
asymmetry	0.0424791
reallocation	0.0424625
evaporation	0.0422534
aggravation	0.0419845
good-neighborliness	0.0417684
sedation	0.0416431
disbanding	0.0414263
softening	0.0413737
expansionism	0.0413271
melting	0.0411625
internationalism	0.0408454
courting	0.0408184
believability	0.040749
predictability	0.0406812
"regular army"	0.0406053
"deficit spending"	0.0406025
"Seventy-five percent"	0.0405805
decompression	0.040488
cross-pollination	0.0404807
shrinkage	0.0404789
"golden rule"	0.0403356
sinew	0.0403239
megamergers	0.0402356
merging	0.0401583
streamlining	0.0401325
dispersion	0.040125
divestiture	0.0400136
))
(centre (desc 25185.8) (sims
center	0.140087
institute	0.0936847
clinic	0.0905115
hub	0.0859315
facility	0.0853762
"shopping center"	0.0819107
"research center"	0.0799433
hospital	0.0761587
"development center"	0.0724356
laboratory	0.072086
"industrial park"	0.0720766
institution	0.0699608
"police station"	0.0692693
"educational institution"	0.0691698
complex	0.0686694
"medical center"	0.0675378
"polling station"	0.0673741
"financial center"	0.0669651
"training school"	0.0669516
bureaus	0.0664526
department	0.066011
bureau	0.0649382
depot	0.0648062
Council	0.0636033
"primary school"	0.0633759
hotel	0.0624776
"power station"	0.062012
station	0.0615024
embassy	0.0607986
agency	0.060454
library	0.0601646
headquarter	0.0600317
"communication network"	0.0586949
organisation	0.0586656
"stock exchange"	0.058665
university	0.0586411
infrastructure	0.0582997
lab	0.0580857
workshop	0.0580151
factory	0.0579542
unit	0.0577718
"power plant"	0.0576694
consulate	0.057564
district	0.0574942
shelter	0.0574678
airport	0.0573326
branch	0.056949
enterprise	0.0565573
terminal	0.056423
"office building"	0.0563929
"shopping mall"	0.0561069
"control center"	0.0560266
"joint venture"	0.0559748
"manufacturing plant"	0.0559046
"post office"	0.0557233
"community center"	0.0557168
academy	0.055253
committee	0.0550645
museum	0.0545199
"polling place"	0.0539585
programme	0.0537321
kiosk	0.0532839
"information service"	0.053144
township	0.0530839
"city center"	0.0530658
venue	0.0529108
headquarters	0.0527829
"power grid"	0.0523701
zoo	0.0520362
association	0.0520235
ministry	0.0519806
"railway system"	0.051932
substation	0.0517027
"exhibition hall"	0.0516106
Warehouse	0.0515954
"military hospital"	0.0513733
corporation	0.0512659
barrack	0.0511982
commission	0.051186
"blood bank"	0.0511831
morgue	0.0511686
incinerator	0.0509849
"travel agency"	0.0508496
"oil refinery"	0.0507638
"medical institution"	0.0506385
corridor	0.0504305
mill	0.0503525
port	0.0503235
Secretariat	0.0502967
mosque	0.0502189
incubator	0.0501394
orphanage	0.0500453
"telephone network"	0.0499437
nursery	0.0498271
"business district"	0.0498171
"training program"	0.0497611
"branch office"	0.0496076
outlet	0.0495222
"U.S. Embassy"	0.0493733
refinery	0.0492814
"financial institution"	0.0491171
checkpoint	0.0488824
hall	0.0488259
mall	0.0487881
thoroughfare	0.0487553
location	0.0487313
"task force"	0.0486116
"production facility"	0.0485761
EPZs	0.0484115
"hot line"	0.0483239
"industrial enterprise"	0.0480562
resort	0.0479846
stalls	0.0479292
plaza	0.0478269
bureaux	0.0471617
brewery	0.0469685
"middle school"	0.046882
forum	0.046867
College	0.0468066
consultancy	0.0465725
destination	0.0465566
outpost	0.0464886
"railway station"	0.0464027
cooperative	0.0462516
palace	0.046247
Gateway	0.0461637
"chain store"	0.0461353
mechanism	0.0460864
"secondary school"	0.0460149
"information system"	0.0458546
residence	0.0457569
"computer network"	0.0456391
attraction	0.0455906
installation	0.0455415
temple	0.0453827
"department store"	0.045373
campus	0.0452708
Monastery	0.0452217
"soup kitchen"	0.0451398
Housing	0.0451205
"investment fund"	0.045057
"relay stations"	0.0450191
"employment agency"	0.0449459
"gas station"	0.0449048
prison	0.0448276
"Hong Kong International Airport"	0.0447802
foundation	0.0447503
"commercial bank"	0.0446537
"theme park"	0.0446051
websites	0.04448
Mecca	0.0443831
"communications network"	0.0443811
entity	0.0442267
Hotlines	0.044205
"local government"	0.0442006
"art gallery"	0.0441894
bridge	0.0441036
"trunk line"	0.0440779
cemetery	0.043996
intersection	0.0439564
classroom	0.0439532
organ	0.0439353
"urban area"	0.0437796
"service station"	0.0437691
seaport	0.0437209
"vocational school"	0.0437088
"working group"	0.0437071
"diplomatic mission"	0.0436783
dealerships	0.0435499
"command post"	0.0435205
brothel	0.0434613
"focal point"	0.0433896
"police force"	0.0431674
"development strategy"	0.0431261
Pharmacy	0.0430574
stadium	0.0430443
joint-ventures	0.0430391
"shipping company"	0.0429402
dormitory	0.0429258
marketplace	0.0429202
Website	0.042916
booth	0.0429067
undertaking	0.0426862
observatory	0.0426841
locality	0.0426038
"health service"	0.0425318
"trade union"	0.0424392
"emergency room"	0.0424357
wharf	0.0423869
hangar	0.0423821
node	0.0423589
reactor	0.0423122
provider	0.0422391
"clearing house"	0.0421126
"transportation system"	0.0420931
waterworks	0.0420314
battalion	0.0419086
ward	0.0418749
foundations	0.0418635
metropolis	0.0418287
))
("Centre Court" (desc 4211.27) (sims
"Center Court"	0.254371
"Court @"	0.122973
"standing room"	0.0724275
hardcourt	0.0706882
"Senior PGA Tour"	0.0675794
quarter-finalist	0.0665758
hardcourts	0.0661822
"Senior Tour"	0.0649264
"first match point"	0.0627155
"tennis court"	0.0619695
undercard	0.0610592
"European Tour"	0.0583103
"basketball court"	0.0576674
"ATP Tour"	0.0572493
"PGA Tour"	0.0571695
"football field"	0.0542767
"dance floor"	0.0532213
"LPGA Tour"	0.0530462
"Turner Field"	0.0497452
"Fed Cup"	0.0496805
"League Cup"	0.0484542
"red clay"	0.047586
"Opening Day"	0.04696
"WTA Tour"	0.0469356
"Busch Stadium"	0.0464065
"F.A Cup"	0.0456433
"Mile High Stadium"	0.0453202
"Nike Tour"	0.0448029
"Red Star"	0.0446555
"Fourth of July"	0.0445719
Alamodome	0.0437222
jostling	0.0436398
"Russ Ortiz"	0.043458
"practice range"	0.0433635
"Giants Stadium"	0.0431857
"Night Football"	0.0427997
"Old Course"	0.0424369
"Federation Cup"	0.0420668
"Horse Whisperer"	0.0420263
third-and-@	0.0418711
"technical knockout"	0.0418594
semifinalist	0.0414149
mantelpiece	0.0409615
hustings	0.040293
"blind date"	0.0402903
))
(centrist (desc 8428.79) (sims
moderate	0.15348
reformer	0.137141
conservative	0.131492
liberal	0.125757
leftist	0.12434
pragmatist	0.115955
socialist	0.107723
populist	0.101938
progressive	0.0997085
hard-liner	0.0916019
Communist	0.0908145
Libertarian	0.0901964
reformist	0.0863218
"New Democrats"	0.0862724
nationalist	0.0846715
pro-choice	0.0844452
right-winger	0.0808524
outsider	0.0793419
rightist	0.0792688
radical	0.0753643
isolationist	0.0751306
"Social Democrat"	0.0709607
jurist	0.0709438
pacifist	0.0691805
"Social Democrats"	0.0691732
"Christian Democrats"	0.0685313
technocrat	0.0683201
lawmaker	0.0682272
"United National Party"	0.0680731
"Herri Batasuna"	0.0676143
environmentalist	0.0674722
hardliner	0.0674314
"interest group"	0.0672689
"big spender"	0.0671171
Yabloko	0.0664269
faction	0.0660608
capitalist	0.0660383
feminist	0.0657851
monarchist	0.0655258
"Bharatiya Janata Party"	0.0651912
activist	0.0650826
"Center Party"	0.064988
"trade unionist"	0.0639925
"Liberal Party"	0.0631037
front-runner	0.0626588
traditionalist	0.0623474
incumbent	0.0620544
fundamentalist	0.0615783
cleric	0.0604443
"right wing"	0.0597217
opportunist	0.0592809
legislator	0.0589338
hypocrite	0.0587961
"elected official"	0.0585606
statesman	0.0584987
RPR	0.0583466
"Freedom Union"	0.0581984
insider	0.0580769
"Social Democratic Party"	0.0578806
pro-life	0.0578218
"Liberal Democratic Party"	0.0577825
"Reagan Democrats"	0.0577397
"New Democrat"	0.0576557
outcast	0.0574593
anarchist	0.0573946
"Orthodox Jew"	0.0573778
ideologue	0.0570102
nominee	0.0566669
congressmen	0.0565703
campaigner	0.0561888
intellectual	0.0559067
thinker	0.0556298
Meretz	0.0553262
kingmaker	0.0549935
"family man"	0.0549773
unionist	0.0548862
vote-getters	0.0546931
foe	0.0545578
"Pat Buchanan"	0.0540997
conciliator	0.0537451
"altar boy"	0.0535979
Protestant	0.0535125
challenger	0.0534195
neo-Nazis	0.0532057
"Popular Party"	0.0531551
"New Democracy"	0.0531362
officeholder	0.0531144
Slav	0.0531071
"second person"	0.0530024
"Christian Social Union"	0.0528804
stalwart	0.052866
realist	0.0526508
frontrunner	0.0525796
idealist	0.0523879
"National Party"	0.0523689
"Socialist Party"	0.0523225
partisan	0.0523164
"Labor Party"	0.0521784
operative	0.0521152
orator	0.052106
Catholic	0.0520113
"Bangladesh Nationalist Party"	0.0519804
racist	0.0519715
"Russian Communist Party"	0.0515528
"hard worker"	0.0515398
"rank and file"	0.0515193
"running mate"	0.0514543
atheist	0.0514297
"Golkar Party"	0.0513996
"national leader"	0.0513447
"labor leader"	0.0513102
Mormon	0.0512913
"Parti Quebecois"	0.0507869
Islamists	0.0507124
"Republican House"	0.0506365
"Muslim Brotherhood"	0.0505542
loyalist	0.050384
adversary	0.0503776
"political movement"	0.0502741
"Union of Right Forces"	0.0501101
outspent	0.0499982
"power broker"	0.0499773
"Sam Rainsy"	0.0499454
zealot	0.0499164
revolutionary	0.0498649
standard-bearer	0.0498583
rank-and-file	0.0497109
renegade	0.0495607
pro-business	0.0491192
strategist	0.049094
tactician	0.0489269
"People's Party"	0.0488564
wonk	0.0488226
Southerner	0.0487649
bloc	0.0484773
believer	0.0484098
"political dissident"	0.0483778
maverick	0.0482015
"political leader"	0.0480357
"old guard"	0.0480191
"labor union"	0.0480023
"National Religious Party"	0.0479202
"standard bearer"	0.0476934
"Likud Party"	0.0476914
extremist	0.0474177
"Young Turk"	0.0474114
fascist	0.0474101
chairmen	0.0473197
visionary	0.0472353
Likud	0.0468948
aspirant	0.0468453
hopefuls	0.0467153
PASOK	0.0466362
"Liberal Democrats"	0.0464527
bureaucrat	0.0462838
Tory	0.0462267
disciplinarian	0.0461938
"Family Research Council"	0.0461906
LDP	0.0461346
"treading water"	0.0461344
financier	0.0460582
"Congress Party"	0.0460403
insurgent	0.0458418
dissident	0.0458125
"Democratic Unionist Party"	0.0457825
backbencher	0.0457814
"two pitchers"	0.0456656
leaning	0.0455894
SDP	0.0455836
internationalist	0.0455168
incompetent	0.0454802
"Civic Democratic Party"	0.0454759
"business executive"	0.0454445
"Islamic Salvation Front"	0.0454076
underdog	0.0453154
paraplegic	0.0452308
"Freedom Front"	0.0451559
"Southern Baptists"	0.0451042
heavyweight	0.045007
follower	0.0450019
optimist	0.0449744
"Arizona Republican"	0.0449656
protector	0.0448722
FUNCINPEC	0.044774
Ecevit	0.0447681
"Serbian Renewal Movement"	0.0446292
"Armed Islamic Group"	0.0446084
"Ulster Unionists"	0.0445128
philosopher	0.0444421
educator	0.0444036
Renamo	0.0443951
cipher	0.0443576
"National Democratic Party"	0.04424
loner	0.0441946
clergymen	0.0441076
"Serbian Radical Party"	0.0440091
lobbyist	0.0439392
BJP	0.043731
Trailblazer	0.0436903
"right to life"	0.0436866
))
(century (desc 147061) (sims
millennium	0.156502
decade	0.155049
year	0.128034
era	0.110553
generation	0.109244
"past @@ years"	0.10232
half-century	0.102253
future	0.0979491
history	0.0954427
"last @@ years"	0.0922354
world	0.0870432
quarter-century	0.085626
life	0.0851449
period	0.0848986
past	0.0834967
month	0.0819846
"next @@ years"	0.0810716
day	0.0788785
career	0.0762702
time	0.0760732
week	0.0746737
country	0.0733536
season	0.0721978
"more than @@ years"	0.07095
China	0.0703242
region	0.0700979
"two decades"	0.0697637
summer	0.0697614
America	0.0693906
"long time"	0.0682391
"next five years"	0.0678435
war	0.067778
term	0.0672605
development	0.0668003
economy	0.0648135
culture	0.0642488
age	0.0635735
Europe	0.0635072
"past two decades"	0.0633172
Africa	0.0624056
game	0.0621696
lifetime	0.0619852
area	0.0619331
few	0.0618261
series	0.0611699
"five years"	0.0610601
society	0.0609257
moment	0.0609067
phase	0.0606934
"past five years"	0.0601411
nation	0.0600826
"period of time"	0.0600339
industry	0.0596477
"information age"	0.0595978
kind	0.0593573
"first time"	0.0591495
Asia	0.0590179
"Cold War"	0.0584849
half	0.058235
market	0.0581854
field	0.058037
winter	0.057999
process	0.057375
"two years"	0.0573326
quarter	0.0571612
round	0.0568717
"late @@@@s"	0.0566672
politics	0.0565389
peace	0.0561941
cycle	0.0559733
"World War II"	0.0557335
Spring	0.0557019
"last two years"	0.0554795
revolution	0.055404
campaign	0.0553178
event	0.0552232
movie	0.0552072
continent	0.0551324
"three decades"	0.0550919
couple	0.0550087
stage	0.0549609
sport	0.0548599
"nearly @@ years"	0.0547949
state	0.0546808
"four years"	0.0546243
race	0.0545548
hour	0.0544161
struggle	0.0543728
playoff	0.0542246
"three years"	0.0541958
growth	0.0540455
part	0.0539583
"New Year"	0.0538997
course	0.0538679
tradition	0.0536901
election	0.0536568
city	0.0534167
form	0.0530839
"World Cup"	0.0529941
film	0.0528267
"second half"	0.0528213
crisis	0.0528053
business	0.0527392
democracy	0.0526879
conflict	0.0526501
"past two years"	0.0525315
achievement	0.0523735
story	0.0520431
much	0.0519902
"eight years"	0.0519406
case	0.0519177
some	0.0518958
order	0.0518627
environment	0.0517892
book	0.0517032
particular	0.0516084
community	0.0515754
art	0.0515382
this	0.0513143
effort	0.0512594
"Hong Kong"	0.0512279
Olympics	0.0511894
experience	0.0511347
context	0.0511122
reality	0.0509753
two	0.050881
"seven years"	0.0507769
sense	0.0506698
people	0.0506163
way	0.0504129
"past three years"	0.0503704
"long run"	0.0501389
today	0.0501351
"a few years"	0.0498015
trial	0.0497658
weekend	0.0497486
presidency	0.0496049
recession	0.0494802
situation	0.0493753
"United States"	0.0492018
success	0.0491948
mid-@@@@s	0.0491097
relationship	0.0490442
example	0.0490372
prosperity	0.049016
reform	0.0489151
role	0.0489067
"Middle East"	0.0488281
progress	0.0487841
system	0.0487814
session	0.048516
"six years"	0.0484652
most	0.0482739
relation	0.048104
image	0.0480298
transition	0.0477183
program	0.0475715
Tibet	0.04752
spirit	0.0474603
holiday	0.0474577
novel	0.0473887
arena	0.0473326
Kosovo	0.0473066
beginning	0.0472913
music	0.0471376
postseason	0.0470947
tournament	0.0470409
number	0.0469626
match	0.0469253
"fiscal year"	0.0469183
"last five years"	0.0469046
battle	0.0468937
tenure	0.0468582
legacy	0.0468506
"rural area"	0.0468156
project	0.0467432
"first half"	0.046733
episode	0.046613
challenge	0.0465547
disaster	0.0465491
night	0.046512
memory	0.046445
movement	0.0463935
final	0.0463853
celebration	0.0463496
sector	0.0462563
policy	0.0462105
victory	0.0461536
thousand	0.046066
light	0.0460147
study	0.0460053
interest	0.0459824
instance	0.0459303
tragedy	0.0459085
hope	0.0458944
collection	0.0458834
"general election"	0.045815
anniversary	0.0458049
civilization	0.0457042
style	0.045663
))
("Century City" (desc 1353.02) (sims
"Culver City"	0.202292
"Mission Viejo"	0.1591
"Westlake Village"	0.157437
Burlingame	0.154871
Sunnyvale	0.136543
Encino	0.131494
"San Mateo"	0.131392
"Midtown Manhattan"	0.130105
Emeryville	0.129711
"Walnut Creek"	0.129334
Cupertino	0.128373
"Fort Lee"	0.127949
Calabasas	0.127383
"Manhattan Beach"	0.127359
"Sherman Oaks"	0.124012
"North Hollywood"	0.123832
"La Jolla"	0.12084
Sausalito	0.118518
Burbank	0.11221
Chatsworth	0.108115
"Woodland Hills"	0.1074
"San Rafael"	0.106343
"West Hollywood"	0.105763
Ojai	0.102613
"Menlo Park"	0.102389
Alameda	0.10228
oceanside	0.101665
Torrance	0.100554
"Studio City"	0.100525
"Santa Ana"	0.0994723
"Pacific Palisades"	0.0994176
"Palo Alto"	0.0988534
Camarillo	0.0982371
"Huntington Beach"	0.097644
"Santa Rosa"	0.0976389
"El Segundo"	0.0969748
"Van Nuys"	0.0969188
"Riverside County"	0.0967977
"Overland Park"	0.096721
"Simi Valley"	0.0963426
Carlsbad	0.0931802
"South San Francisco"	0.0926109
Kensington	0.0918026
Eureka	0.0915266
Fremont	0.0910545
Englewood	0.0909589
Oxnard	0.090838
"Marin County"	0.0905251
"Thousand Oaks"	0.0904308
"Delray Beach"	0.0903668
"Beverly Hills"	0.0903263
"Mountain View"	0.0901251
LAKEWOOD	0.0894385
Midtown	0.0893514
Buckhead	0.0885553
"Santa Monica"	0.0884829
"White Plains"	0.088241
Reseda	0.087849
"Redwood City"	0.0878213
Carmel	0.0878026
Vallejo	0.0871573
Brentwood	0.0867369
Redding	0.0865347
Rey	0.0857483
Alpharetta	0.0849739
Modesto	0.0846452
Groton	0.0827334
"Mill Valley"	0.0820103
"Hollywood Hills"	0.0819538
"Santa Clarita"	0.081814
"Santa Clara"	0.0807356
"Palm Springs"	0.079724
Glendale	0.0794168
riverside	0.0789404
Irvine	0.0784709
Rockville	0.0784273
"Rockefeller Center"	0.0782238
Malibu	0.0773529
"Newport Beach"	0.0765745
Reston	0.0763147
Bakersfield	0.0763048
"Brooklyn Heights"	0.0754681
"Camp Pendleton"	0.0751438
"Santa Barbara"	0.0744558
Beaumont	0.0742996
Pleasanton	0.0742946
"Banja Luka"	0.0733503
multilevel	0.0731941
"Sonoma County"	0.0731367
"Virginia Beach"	0.0728204
Pasadena	0.0722928
Danville	0.0721311
"East Orange"	0.0721157
beachfront	0.0717201
Hillsborough	0.0712576
"Palm Beach Gardens"	0.070746
Westwood	0.0707062
"Granada Hills"	0.0707018
"Garden City"	0.070248
Kennebunkport	0.0697297
"San Luis Obispo"	0.0697181
"West Los Angeles"	0.0692993
"Greenwich Village"	0.0692705
Petaluma	0.0686697
Fullerton	0.0685042
Bridgehampton	0.0679434
TALLAHASSEE	0.0678579
Claremont	0.0674398
ARCADIA	0.0672033
"Left Bank"	0.0668771
lakeside	0.0663778
Salinas	0.0658683
Hialeah	0.0654468
Farmington	0.0653876
Inglewood	0.0653341
Monterey	0.0651457
Antioch	0.0651093
"Miami Beach"	0.0648421
"Santa Maria"	0.0647716
Tarzana	0.0646345
Braintree	0.0645848
"art deco"	0.0645176
Waltham	0.0644754
"Boca Raton"	0.0644732
"Lower Manhattan"	0.0641288
TRENTON	0.0633867
Concord	0.0633512
Morristown	0.0632064
"Gwinnett County"	0.0628399
"Lake Tahoe"	0.062361
"Baton Rouge"	0.0621695
"Santa Clara County"	0.0621695
"West Orange"	0.0620295
"Cherry Hill"	0.0619863
Fresno	0.0615988
"Boynton Beach"	0.0615782
Charlottesville	0.0613917
Middletown	0.0613547
Belacevac	0.0612265
Monrovia	0.0610608
"Chapel Hill"	0.0607862
"East Lansing"	0.0606801
Chico	0.0600092
Marlborough	0.0599552
"West Palm Beach"	0.0597957
"San Carlos"	0.0595798
"Washington D.C."	0.059579
Hackensack	0.05955
"West Village"	0.0593747
"Union City"	0.0592512
Nashua	0.0592232
Pittsfield	0.0589963
Northland	0.0587517
"Park Avenue"	0.0586905
"Santa Cruz"	0.0580313
"Fort Lauderdale"	0.057911
Tarrytown	0.0578444
"Sunset Strip"	0.0571666
Davidian	0.057124
Burlington	0.0570633
"Little Rock"	0.0569249
Pomona	0.0569116
"San Pedro"	0.0568995
Waterford	0.0568125
Westport	0.0565361
"Covent Garden"	0.0563986
Kirkland	0.0563798
Stockbridge	0.0563641
"Round Rock"	0.0563206
"World Trade Center"	0.0561876
Wellesley	0.0558797
"Great Neck"	0.0557756
Watertown	0.0553739
Fairfax	0.0553238
"Montego Bay"	0.055042
"Grand Junction"	0.0548698
Marietta	0.0546917
"New London"	0.0545436
Northridge	0.0543207
Norcross	0.0538606
SAS	0.0537147
Wichita	0.0535442
Bellevue	0.0534332
Atherton	0.0533982
"Del Mar"	0.05332
"Indian Wells"	0.0530532
Xenia	0.0530235
Renton	0.0530144
"Cedar Rapids"	0.0529439
Spokane	0.0527712
"New Haven"	0.0527551
Raleigh	0.0524861
"East Hampton"	0.0524583
"Fort Myers"	0.0523076
"Daytona Beach"	0.0521287
"Downing Street"	0.0520211
Gainesville	0.0518312
Palmdale	0.0517542
"Gaza City"	0.0517447
"Port St. Lucie"	0.0516796
))
(CEO (desc 55485.4) (sims
"chief executive officer"	0.272173
"chief executive"	0.262733
"chief operating officer"	0.175862
"chief financial officer"	0.14302
executive	0.1396
chairman	0.138728
"top executive"	0.133889
"executive vice president"	0.12062
"senior vice president"	0.117048
"general manager"	0.107693
"chairman of the board"	0.107642
manager	0.1031
President	0.102589
"vice chairman"	0.101215
CFO	0.100614
"vice president"	0.100562
"managing director"	0.0969301
director	0.0966359
founder	0.0962973
cofounder	0.0962682
"board member"	0.0939435
superintendent	0.0935681
employee	0.0905922
share	0.0884986
"executive director"	0.087958
chief	0.086321
shareholder	0.0846768
subsidiary	0.0830453
"general counsel"	0.0826873
editor	0.0819532
treasurer	0.07827
"music director"	0.0777065
"board of directors"	0.0766441
owner	0.0764355
officer	0.075458
publisher	0.0749476
trustee	0.0732987
administrator	0.0729758
engineer	0.0722677
commissioner	0.0720154
editor-in-chief	0.0713641
co-chairman	0.0709339
co	0.0702428
chairwoman	0.0700432
principal	0.0694217
chairmen	0.0689538
stockholder	0.0687975
representative	0.0681743
Governor	0.067772
board	0.0675392
secretary	0.0672107
dean	0.0669618
consultant	0.0666422
Mayor	0.0661654
Bos	0.0658278
Archbishop	0.0656799
designer	0.0650879
"senior executive"	0.0648172
entrepreneur	0.0646449
coach	0.0645515
official	0.06455
accountant	0.0641362
Chancellor	0.0633765
lawyer	0.063371
banker	0.0633473
coordinator	0.0623612
Speaker	0.0620093
division	0.0619175
Programmer	0.0616108
acquisition	0.0615993
"venture capitalist"	0.0613461
"commander in chief"	0.0611653
customer	0.0610791
"football coach"	0.0610726
"managing editor"	0.0609211
professional	0.0608539
"basketball coach"	0.0606523
assistant	0.0606044
educator	0.0602021
teacher	0.0601252
management	0.0596978
member	0.0595233
auditor	0.0595109
"finance minister"	0.0594452
"head of state"	0.0592593
unit	0.0586552
"business leader"	0.0585718
lobbyist	0.0583359
pastor	0.0581022
stock	0.0574805
adviser	0.0570672
minister	0.0568247
"chief of staff"	0.0567617
supervisor	0.0566092
technician	0.0565823
commander	0.0564471
"corporate executive"	0.0560866
Premier	0.0560267
"deputy chairman"	0.0558441
Attorney	0.0558295
veteran	0.0558074
Counsel	0.0557402
director-general	0.0555606
worker	0.0554877
boss	0.0554577
"cabinet minister"	0.0553834
"business executive"	0.0550466
"investment banker"	0.0549425
physician	0.0549268
investor	0.0548987
journalist	0.0548947
Ambassador	0.0548766
developer	0.0547935
"secretary of state"	0.0547046
"foreign minister"	0.0546095
"chief justice"	0.0538796
nurse	0.0536405
producer	0.0536254
pilot	0.0534811
bishop	0.0531555
"staff member"	0.0530947
"general secretary"	0.0530934
doctor	0.0530207
broker	0.0528519
partner	0.0527396
stockbroker	0.052653
"software engineer"	0.052627
"school principal"	0.0526082
parent	0.0525246
writer	0.0523634
"executive secretary"	0.0523409
Secretary-General	0.052233
counselor	0.0521731
staff	0.0520704
musician	0.0516012
spokesman	0.0515766
deputy	0.0515588
chef	0.0514745
exec	0.0514261
captain	0.0512889
"deputy director"	0.051181
architect	0.0510481
"pitching coach"	0.0506498
General	0.0504099
correspondent	0.0503645
sponsor	0.0503525
professor	0.0502916
"committee member"	0.0501454
buyout	0.0499589
"inspector general"	0.0498572
client	0.0498448
advisor	0.0497387
curator	0.0496661
senator	0.0496173
merger	0.0495462
GM	0.0495239
scout	0.0495149
"public servant"	0.0493609
"first lady"	0.0493591
trainer	0.0493359
chaplain	0.0492976
analyst	0.0492347
co-owner	0.0491943
profit	0.0490642
legislator	0.0490203
bookkeeper	0.0488849
scientist	0.0488482
execs	0.0487734
politician	0.0486611
prosecutor	0.0486515
businessman	0.0484339
mediator	0.0482425
instructor	0.0482108
salesman	0.0482082
"elected official"	0.0481837
"Paul Allen"	0.0481809
artist	0.0480325
contractor	0.047915
"lieutenant governor"	0.0478889
buyer	0.0477256
expert	0.0477241
author	0.0475587
"faculty member"	0.0474725
athlete	0.0474678
user	0.0474469
"Bill Gates"	0.0473306
person	0.0473171
affiliate	0.0472616
economist	0.0471231
staffer	0.046883
financier	0.0468238
mechanic	0.0468095
"civil servant"	0.0468013
planner	0.0465677
headquarter	0.0459076
actor	0.0457936
"project manager"	0.0457906
Sheriff	0.0456855
operator	0.0456455
caretaker	0.0455778
))
(Cepeda (desc 1209.21) (sims
Yount	0.131996
Dunston	0.128187
Brogna	0.122206
Adair	0.121935
Rankin	0.115113
Ciampi	0.114322
Sezer	0.106316
Hollandsworth	0.105772
Braswell	0.105139
Helton	0.102029
Abdur-Rahim	0.101024
Priebke	0.0981364
Papon	0.0980849
Fisk	0.0978759
Bordick	0.0965352
Faison	0.0959987
Canseco	0.095664
Matthaeus	0.0953361
Hofer	0.0952577
Cedeno	0.0950767
Baines	0.0946371
Hendrickson	0.0943978
Paxon	0.093943
Najera	0.0931928
McDuff	0.0931228
Robitaille	0.0930009
Romer	0.0928564
Dellucci	0.09231
Cink	0.0907886
Kerik	0.0906775
Ramirez	0.09065
Burks	0.0902544
Whitacre	0.0900662
Jelisic	0.0898973
Agca	0.0896022
Shayler	0.089425
Koch-Weser	0.0889238
Flaherty	0.0880488
Varitek	0.0874844
Brett	0.0874133
Lacresha	0.0873864
Mcbride	0.0867514
Tatis	0.085698
Barrionuevo	0.085686
Laudrup	0.0849477
Einhorn	0.0844876
Munson	0.0844142
McGreevey	0.0843827
"Russell Peeler"	0.0839969
Mustafa	0.0834811
Konerko	0.0834233
Swango	0.0831915
Nikitin	0.0831143
Loretta	0.0829271
Daft	0.0829117
Boller	0.0825492
Abernathy	0.0824583
Monson	0.0824176
Boone	0.0818382
Fieger	0.0815844
Osborne	0.0815644
Surhoff	0.0814923
Sealy	0.0807388
Esposito	0.0804805
Geiger	0.080444
beamer	0.0802067
BEGAY	0.0801615
Marinovich	0.0798195
Gauthe	0.0797238
Stayner	0.0797021
"Perez Balladares"	0.0795354
Shulman	0.0789595
Nailon	0.0789527
Tarver	0.0788528
Akayesu	0.0787844
Whalen	0.078745
Berenson	0.0787294
Auriemma	0.0783526
Hornaday	0.0781309
Hensley	0.0780666
Gravano	0.0779319
Lazarenko	0.0779181
Gwynn	0.077216
Soliah	0.0770961
Chuasiriporn	0.0770366
"two pitchers"	0.0769182
Pollard	0.0769016
Laettner	0.0766106
Hansen	0.0763134
Furyk	0.0761088
Meares	0.0761056
Lobo	0.0760232
Mahomes	0.075842
Cordero	0.0758311
Mateo	0.0755882
Lieberthal	0.0753338
McGriff	0.0752873
Ripken	0.0752588
Milloy	0.0751862
Brunner	0.0750593
Ruggiero	0.0749334
Gargan	0.0748902
Holdsclaw	0.0746911
Bonilla	0.0746027
Easley	0.0745161
Sebaggala	0.0741302
Wilkins	0.0740956
Garza	0.0740294
Eizenstat	0.0740161
Limon	0.0740054
Jakob	0.073922
Higginson	0.0737684
O'Hara	0.0735627
Hwang	0.0735363
Faget	0.0735285
Boggs	0.0734869
"Los Angeles City Council"	0.0733409
"Carlton Fisk"	0.0732547
Stumpel	0.0731519
Craxi	0.0731302
Raines	0.0731217
Carbonneau	0.0729847
Conner	0.0729558
Seaver	0.0727887
Manny	0.072751
Remnick	0.072708
Lowery	0.0727054
Musa	0.0725826
Hamid	0.0723795
DeShields	0.0721608
"Van Roost"	0.0719359
Alves	0.0719302
Quigley	0.071929
Kalejs	0.0718977
Mineta	0.0718301
Bagwell	0.0715381
Meggett	0.071531
Dunleavy	0.0715212
Bunning	0.0715206
Goode	0.0713887
Ledee	0.0712623
Atwater	0.0711761
Cavallo	0.0710759
Lawton	0.0710674
"Matt Luke"	0.0710645
Croshere	0.0709893
Trantino	0.0707785
Furcal	0.0706878
Detmer	0.0705537
Merritt	0.0704589
Gump	0.070159
Castilla	0.0701551
Cirillo	0.0701095
Sato	0.0700874
Garciaparra	0.0700738
Coolio	0.0699397
Hargrove	0.0699055
Chmura	0.0698987
Farber	0.0698253
Plante	0.0698008
"Tim Raines"	0.0697733
Washburn	0.0697426
Kan	0.0697232
Kromah	0.0696844
Faulder	0.0696641
Maharaj	0.0695255
Bateman	0.0694023
Haney	0.0693553
Delgado	0.0693239
Tanaka	0.0693194
Grissom	0.069262
Newsome	0.0691305
conger	0.0691058
Krstic	0.0690904
Montiel	0.0690442
Santangelo	0.0689972
"Lawrence Taylor"	0.0689786
"Abu Nidal"	0.0688895
Espinoza	0.0688317
D'Amico	0.0687298
Sykes	0.0687079
Swann	0.068673
Fortier	0.068436
Karbaschi	0.0684258
Tomlinson	0.068422
Skakel	0.0684105
Kasich	0.0683966
Blackman	0.0682897
Namath	0.068113
Magee	0.068105
Mehmet	0.0679562
DiSarcina	0.0679493
Greer	0.0679164
Tuinei	0.0679087
Rolen	0.067805
Beckwith	0.0677959
Dayne	0.0677533
nance	0.0677127
Mease	0.0676421
Sheinbein	0.0675837
))
(ceramic (desc 14382.9) (sims
porcelain	0.241856
Pottery	0.213211
handicraft	0.212966
textile	0.206
"building material"	0.203475
jade	0.18095
"household appliance"	0.180697
knitwear	0.172605
furniture	0.171361
jewelry	0.168377
metalwork	0.165014
petrochemical	0.163576
"home appliance"	0.162167
garment	0.155027
lacquerware	0.148194
plastic	0.14274
metallurgy	0.140022
electronics	0.139521
footwear	0.138749
appliance	0.137509
utensil	0.136367
foodstuff	0.135279
calligraphy	0.134894
glassware	0.134115
sculpture	0.133225
machinery	0.133115
ware	0.132519
carving	0.131992
"machine tool"	0.131298
cosmetic	0.129863
cement	0.12925
pharmaceutical	0.128921
"folk art"	0.126573
furnishings	0.125323
bronzeware	0.124758
antique	0.123412
apparel	0.121574
painting	0.120264
tile	0.120096
metal	0.117627
"oil painting"	0.11708
steel	0.116409
kitchenware	0.116376
carpet	0.116068
"chemical industry"	0.115219
"precious metal"	0.114179
leather	0.113922
"musical instrument"	0.11348
"consumer goods"	0.11342
"fine art"	0.11231
aluminum	0.110834
lacquer	0.11083
silk	0.110617
cookware	0.110427
tableware	0.110288
silverware	0.110166
jewellery	0.110039
"food product"	0.109791
rug	0.109604
"consumer electronics"	0.108174
ornament	0.107789
"scientific instrument"	0.107433
embroidery	0.107109
semiconductor	0.106265
ceramics	0.106183
photography	0.105159
woodworking	0.104988
Clothing	0.10458
tapestry	0.104442
iron	0.104337
machine-building	0.104238
artifact	0.103992
automobile	0.103519
jute	0.103068
"synthetic fiber"	0.102954
lumber	0.101971
artwork	0.101629
toy	0.1013
glass	0.100451
"specialty chemical"	0.100393
rubber	0.10027
"frozen food"	0.100064
petroleum	0.0999378
"stained glass"	0.0995549
chemical	0.0994411
antiquity	0.0987222
"wall painting"	0.0984102
"electronic equipment"	0.0980472
shipbuilding	0.0975081
pulp	0.0972514
timber	0.0966928
stoneware	0.0962602
accessory	0.0959451
wallpaper	0.0958284
fertilizer	0.0956992
fabric	0.0943409
"integrated circuit"	0.0938854
"palm oil"	0.0933586
housewares	0.0930598
enamel	0.0928833
flooring	0.0923488
decoration	0.0922848
quilt	0.0920701
figurine	0.0917879
gemstone	0.0915218
"stainless steel"	0.0915202
art	0.0911163
auto	0.0904744
bioengineering	0.0903584
mineral	0.0891392
beverage	0.0878946
packaging	0.0876256
manuscript	0.0875628
gem	0.0873065
goods	0.0871253
wares	0.0864938
"iron ore"	0.0864003
"precious stone"	0.0863987
"communications equipment"	0.0862565
engraving	0.0861982
"work of art"	0.0861795
newsprint	0.0853564
material	0.0853234
Coin	0.0851184
stationery	0.0848721
earthenware	0.0846551
"office furniture"	0.0840838
"spare part"	0.0838746
"interior decoration"	0.0835631
"raw material"	0.0834327
vase	0.0833185
collectibles	0.0832639
drawing	0.0830847
processing	0.0829393
shoe	0.0828912
equipment	0.0825356
curio	0.0820398
relic	0.0810097
cloth	0.0809991
fresco	0.0809888
architecture	0.0808847
stone	0.0806662
resin	0.0805948
medicine	0.0805837
object	0.0803788
aluminium	0.0803606
"motor vehicle"	0.080222
horticulture	0.0799368
hardware	0.0798306
"steel plate"	0.0792567
engineering	0.0789588
item	0.0789528
fiber	0.0789334
"sewing machine"	0.0787407
brick	0.078677
Copper	0.0785966
plaster	0.0784764
bronze	0.0784458
"plate glass"	0.0781922
"medical instrument"	0.0781917
craft	0.0774916
Coal	0.0774707
"cashew nut"	0.0774232
telecommunication	0.0769287
marble	0.0768146
"fine arts"	0.0764006
memorabilia	0.0758336
Microelectronics	0.0749309
chrome	0.074817
silver	0.0744779
yarn	0.0744488
"piece of furniture"	0.0743528
lamp	0.0743344
sportswear	0.0742069
bedding	0.0738273
"high technology"	0.0733382
Plywood	0.0732542
chandelier	0.073129
cotton	0.0727968
"durable goods"	0.0727913
aerospace	0.0727718
ivory	0.0727006
wood	0.0726415
fur	0.0724678
ore	0.072147
air-conditioner	0.0720075
vinyl	0.071376
wallboard	0.0710552
detergent	0.0706218
forestry	0.0703475
wool	0.0697622
"tv set"	0.0696334
biotechnology	0.0693545
tool	0.0693054
commodity	0.0692765
urn	0.0690452
perfume	0.0687465
"consumer durables"	0.0686707
knitting	0.0683306
printing	0.0682032
))
(ceramics (desc 3374.55) (sims
porcelain	0.121132
ceramic	0.106183
Pottery	0.0766711
stoneware	0.0693609
"landscape painting"	0.067029
ware	0.0650877
urn	0.0633196
calligraphy	0.0626561
earthenware	0.062567
handicraft	0.0619586
vase	0.0592502
silverware	0.0588439
"wall painting"	0.0584954
bronzeware	0.05799
lacquerware	0.0564321
wares	0.0555954
antiquity	0.0549558
jade	0.0546235
stele	0.0543444
"musical instrument"	0.0531882
"building material"	0.0526772
"work of art"	0.0526091
"folk song"	0.0506503
"folk music"	0.0497644
modernist	0.0494281
fresco	0.0488932
vas	0.0488633
"dance band"	0.0480262
"architectural style"	0.0479995
infantrymen	0.0473053
"folk art"	0.0471502
furnishings	0.0465395
beaker	0.0460591
"art collection"	0.0459751
agronomist	0.0451342
calligrapher	0.0449369
KIMCHI	0.0414214
quilt	0.0414034
ancestry	0.0411525
"literary work"	0.0407533
carving	0.0405831
"pig iron"	0.0400283
))
(cereal (desc 28050.6) (sims
bread	0.184327
milk	0.18045
grain	0.174796
rice	0.172762
coffee	0.170805
wheat	0.168539
"cooking oil"	0.167204
sugar	0.166056
vegetable	0.165255
tea	0.162314
"dairy product"	0.156696
bean	0.156281
flour	0.156105
fruit	0.155465
cracker	0.152269
"fruit juice"	0.149602
meat	0.149549
maize	0.148817
"powdered milk"	0.148735
"orange juice"	0.147369
"vegetable oil"	0.146572
yogurt	0.144292
soybean	0.143905
biscuit	0.142754
"wheat flour"	0.142249
corn	0.141087
pasta	0.140227
"canned food"	0.139854
cheese	0.13651
legume	0.135741
cotton	0.135567
egg	0.135559
food	0.1339
foodstuff	0.133579
"soft drink"	0.132605
barley	0.13115
lentil	0.130977
snack	0.130693
cooky	0.13067
oatmeal	0.128019
banana	0.127952
potato	0.12777
chocolate	0.125503
noodle	0.12482
soup	0.124788
fertilizer	0.124692
sugarcane	0.123879
soda	0.12259
poultry	0.121562
"food grain"	0.120934
beef	0.120196
beverage	0.119893
"palm oil"	0.118615
"milk powder"	0.118269
peanut	0.117985
"ice cream"	0.11794
nut	0.117615
"peanut butter"	0.116725
sandwich	0.116505
pastry	0.115868
muffin	0.115704
"food product"	0.115454
pork	0.114717
cocoa	0.114484
chicken	0.114296
seafood	0.114093
"sugar cane"	0.113761
candy	0.113559
salad	0.112918
Beer	0.112535
margarine	0.11229
"potato chip"	0.111907
coconut	0.111567
"dried fruit"	0.110926
drink	0.109303
cement	0.109286
porridge	0.109142
juice	0.108724
"baked goods"	0.108595
fish	0.10825
popcorn	0.108021
wine	0.107753
sorghum	0.107393
cake	0.10735
bagel	0.106756
bran	0.106714
"french fries"	0.105158
oilseed	0.104747
oat	0.103958
doughnut	0.103544
"snack food"	0.10334
"hot dog"	0.10329
tomato	0.102934
"soya bean"	0.102433
mutton	0.101222
product	0.100934
salt	0.10073
tobacco	0.100478
"brown rice"	0.100023
sausage	0.0997861
"crude oil"	0.0993655
oil	0.0989703
spice	0.0985013
"cashew nut"	0.0981722
butter	0.0972804
dessert	0.0972076
rubber	0.0967411
rapeseed	0.096423
pizza	0.0957353
"citrus fruit"	0.0956361
crop	0.0947472
soap	0.0945779
pretzel	0.0943934
granola	0.0943191
honey	0.0940663
"frozen food"	0.0939418
"skim milk"	0.0938873
cookie	0.0937352
cigarette	0.0937166
"mineral water"	0.0934263
grape	0.0921525
citrus	0.0921395
Coal	0.0918297
"pig iron"	0.0912502
apple	0.0911867
cassava	0.0911861
shrimp	0.0910609
"sweet potato"	0.0909795
pancake	0.090384
cream	0.0903718
vitamin	0.0894943
"evaporated milk"	0.0893595
detergent	0.089328
"iced tea"	0.0890699
mayonnaise	0.088958
Pudding	0.088897
textile	0.0884451
starch	0.0883847
buttermilk	0.0882809
petroleum	0.0882701
goods	0.0881212
"canned goods"	0.0880012
"sea food"	0.0875646
vanilla	0.0873707
"raw vegetable"	0.0873694
melon	0.0869545
"sour cream"	0.0862495
raisin	0.0859426
pea	0.085731
"building material"	0.085658
sweet	0.0856219
"raw material"	0.0856104
herb	0.0853277
croissant	0.0852172
powder	0.0851561
"sunflower seed"	0.0850527
low-fat	0.0848551
"oreo cookie"	0.0847878
timber	0.0847509
applesauce	0.0847344
tortilla	0.0844828
"consumer goods"	0.0844001
cosmetic	0.0837372
onion	0.0837355
steel	0.0835266
"iron ore"	0.0830225
tofu	0.0829961
lemonade	0.0828988
newsprint	0.0828228
groundnut	0.0827599
pulp	0.0825699
apparel	0.0825077
sauce	0.0824799
molasses	0.0823417
lettuce	0.0822304
chip	0.0816666
garment	0.0815932
carrot	0.0815452
"soybean oil"	0.0814778
cheerio	0.0810935
soy	0.0808911
paddy	0.0808843
commodity	0.0808396
"cake mix"	0.0803729
mushroom	0.0802267
"salad dressing"	0.0800982
marshmallow	0.0800769
ketchup	0.0799482
"household appliance"	0.0795696
tuna	0.0794593
"cottage cheese"	0.0794222
"fresh fish"	0.0793205
mineral	0.0791045
"sugar beet"	0.0790767
pharmaceutical	0.0790352
syrup	0.0788934
Livestock	0.0788791
meal	0.0785348
Clothing	0.0785116
lard	0.0782899
))
("cereal box" (desc 2412.8) (sims
carton	0.0943363
"postage stamp"	0.0925797
postcard	0.0781729
"coffee cup"	0.0748603
"trading card"	0.0698868
"silver dollar"	0.0657162
"Today Show"	0.0650311
"Jerry Springer Show"	0.0647752
"news show"	0.0630309
manhole	0.0630026
"grocery bag"	0.0610135
POCAHONTAS	0.0592579
"wine bottle"	0.0585712
"soda can"	0.0548204
"Late Night"	0.0541564
"city bus"	0.053752
"computer screen"	0.0532429
Matchbox	0.0532131
"Larry King Live"	0.0530402
"dollar bill"	0.0529812
"trash can"	0.0527962
"Night Live"	0.0527887
"Rolling Stone"	0.0516353
"Tonight Show"	0.0514225
Cosmo	0.0513357
Nightline	0.0507059
"Late Edition"	0.0504798
moped	0.050219
napkin	0.0501916
"water jug"	0.0498742
"baseball card"	0.0496935
"Lincoln Town Car"	0.0491193
"sheet music"	0.0488058
"comic book"	0.0487928
"Saturday Evening Post"	0.0480844
windshield	0.0476541
"TV guide"	0.0475564
"Mount Rushmore"	0.0472333
"telephone directory"	0.0471196
haystack	0.0467803
newscast	0.0464423
"Beanie Baby"	0.0463235
"Late Show"	0.0461273
wristwatch	0.0454532
Oprah	0.0451173
"phone book"	0.0449948
"sports section"	0.0449164
"garbage truck"	0.044388
"suspension system"	0.0438217
"utility program"	0.0435374
Floridian	0.0433185
"toilet seat"	0.0430157
taxicab	0.0426439
dispenser	0.0424252
"water bottle"	0.0423081
"coffee mug"	0.041755
Frisbee	0.0416772
"school bus"	0.0416453
"piece of furniture"	0.0415929
hippocampus	0.041311
"shower stall"	0.0409364
"street sign"	0.040845
Dumpsters	0.0405726
"soccer ball"	0.0403525
newsstand	0.0401691
"loaf of bread"	0.0400092
))
("cerebral palsy" (desc 4555.7) (sims
epilepsy	0.282014
autism	0.278318
retardation	0.232803
lupus	0.205391
schizophrenia	0.200426
"muscular dystrophy"	0.187564
asthma	0.183292
leukemia	0.182333
"rheumatoid arthritis"	0.180432
dyslexia	0.178486
"multiple sclerosis"	0.170842
"cystic fibrosis"	0.168748
dementia	0.162555
diabetes	0.160698
bifida	0.158131
"Parkinson's disease"	0.158029
als	0.152619
Osteoporosis	0.148707
disability	0.147031
impairment	0.143815
Alzheimer	0.143149
"heart disease"	0.141872
syndrome	0.141844
anemia	0.141677
"mental illness"	0.140527
arthritis	0.136223
deformity	0.132829
hemophilia	0.132531
deafness	0.129632
"heart condition"	0.128992
glaucoma	0.127907
hypertension	0.125748
ADHD	0.125663
cataract	0.124123
"kidney disease"	0.123798
disorder	0.123158
"memory loss"	0.121781
ulcer	0.119892
"mental disorder"	0.117904
"congestive heart failure"	0.11662
abnormality	0.11556
"genetic disease"	0.114083
Parkinson's	0.113189
emphysema	0.111344
"heart failure"	0.109666
"brain tumor"	0.109615
"neurological disorder"	0.109535
paralysis	0.109249
frostbite	0.10827
defect	0.106804
"high blood pressure"	0.106096
lymphoma	0.105607
"manic depression"	0.104788
bronchitis	0.104266
"personality disorder"	0.101916
"back pain"	0.100666
"cardiovascular disease"	0.100429
"liver disease"	0.0989915
blindness	0.0975574
jaundice	0.0968595
diarrhea	0.0925256
allergy	0.0914414
"lung cancer"	0.0910082
hepatitis	0.0901675
fibrillation	0.0900275
sclerosis	0.0896497
ailment	0.0890493
"eye disease"	0.0877521
pneumonia	0.0871464
angina	0.0857024
myopia	0.0846829
nearsightedness	0.0844455
apnea	0.0842201
Obesity	0.0832108
"food poisoning"	0.082787
tuberculosis	0.082422
"colon cancer"	0.0820364
amnesia	0.0813303
dehydration	0.0804642
deficiency	0.0798983
Meningitis	0.0796673
migraine	0.0795365
osteoarthritis	0.0784783
HIV	0.0780713
Depression	0.077821
IQ	0.0772519
leprosy	0.076341
hypothermia	0.0755264
narcolepsy	0.0745202
malnutrition	0.0743209
"anxiety disorder"	0.0742139
gastroenteritis	0.0735322
"writer's block"	0.0724617
"health problem"	0.0720458
acne	0.0704848
"alcohol abuse"	0.0702144
influenza	0.0700807
"skin cancer"	0.0700001
"bipolar disorder"	0.0698221
handicap	0.0696763
diarrhoea	0.0687803
Alcoholism	0.0687628
"heart attack"	0.068621
"Lyme disease"	0.0683697
anorexia	0.0679793
encephalitis	0.0675778
"hepatitis B"	0.0674794
"asthma attack"	0.0670542
nausea	0.0668767
"emotional distress"	0.0667906
malformation	0.0667167
flu	0.0667018
impotence	0.065625
trauma	0.0642248
malaria	0.0641327
"hay fever"	0.063517
insomnia	0.0630507
heartburn	0.0629423
dysfunction	0.062576
"neurological disease"	0.0624261
myeloma	0.0619881
infertility	0.0618968
"heat exhaustion"	0.0618934
vomiting	0.0617125
delusion	0.0616709
kidney	0.0613218
syphilis	0.0611104
Dysentery	0.0610212
"Human Immunodeficiency Virus"	0.0608355
tumor	0.0607077
Addiction	0.0603451
headache	0.060288
constipation	0.060109
aids	0.0596059
LASIK	0.0595751
melanoma	0.059518
"lead poisoning"	0.0594436
Tb	0.0587532
tendinitis	0.058264
"sore throat"	0.0574129
fatigue	0.0573311
TPA	0.0571753
cramp	0.0567917
fever	0.0559681
HIV/AIDS	0.0558594
dialysis	0.0549933
dizziness	0.054917
"substance abuse"	0.0548612
stomachache	0.054603
"dengue fever"	0.0543876
trachoma	0.0533043
baldness	0.0530001
"AIDS virus"	0.0529177
polio	0.0528086
cirrhosis	0.0525227
sickness	0.0524373
incontinence	0.0521516
cholesterol	0.0521419
"soil erosion"	0.0519149
cholera	0.0518313
inflammation	0.0513363
disfigurement	0.0511728
Hemings	0.0503624
"drug addiction"	0.0500121
hernia	0.0498728
haircut	0.0494944
no-decisions	0.0493601
"electric shock"	0.049357
SIDS	0.0491248
infirmity	0.0487802
hemorrhage	0.048458
concussion	0.0481576
psoriasis	0.0480099
convulsion	0.047786
lesion	0.0475088
sedation	0.0474112
radium	0.0471089
shortsightedness	0.0468697
"nervous breakdown"	0.0468064
"chest pain"	0.0468027
"mental health"	0.0459109
angioplasty	0.0458227
disorientation	0.0453181
affliction	0.0452805
Dengue	0.0452575
"blood pressure"	0.044795
pacemaker	0.044509
"blood clot"	0.0444538
suffocation	0.0444322
inhalation	0.0443959
"sexually transmitted disease"	0.0443746
arrhythmia	0.0442122
CJD	0.0440547
"drug problem"	0.043925
dependency	0.0438576
tremor	0.0437492
"two heads"	0.0437143
"panic attack"	0.0436756
grudge	0.0436697
STD	0.0434809
))
(ceremonial (desc 1334.85) (sims
snorkel	0.0847455
"Israeli Knesset"	0.0798937
"official document"	0.0759258
"Hail Mary"	0.0712417
"three pitchers"	0.0604717
crematorium	0.0590855
"H.D Deve Gowda"	0.0579783
"prayer shawl"	0.0571162
inquest	0.0567366
"Congress Working Committee"	0.0554591
"Jerusalem Committee"	0.0536817
CWC	0.0523411
"Calvin Coolidge"	0.0523376
third-down	0.0520945
"International AIDS Conference"	0.0514371
FOMC	0.0512199
"Israeli Cabinet"	0.0507852
"I.K Gujral"	0.0503791
Aris	0.0499345
"U.N. Human Rights Commission"	0.0498413
"B.J Habibie"	0.0493611
guardsmen	0.0492963
Alcantara	0.0489408
D'Amico	0.048716
"tax change"	0.0486121
"Deve Gowda"	0.0482323
"two pitchers"	0.0481682
inbounds	0.0481404
"Texas House"	0.0478682
Reichel	0.0467992
"Supreme Soviet"	0.046709
"Texas Legislature"	0.0462685
"State Peace and Development Council"	0.0459623
"wedding party"	0.0454678
"Russian Parliament"	0.0453738
"House International Relations Committee"	0.0450853
blue-chips	0.0449542
corporates	0.0445188
"Constitutional Council"	0.0436881
NHTSA	0.0435912
encyclical	0.0434113
MPR	0.0433901
Asprilla	0.0433038
Furcal	0.0432418
ZCTU	0.0431368
Baca	0.0430455
"auto company"	0.0430087
"King Abdullah Bin Hussein"	0.0429127
"Sdn Bhd"	0.0428983
PNC	0.042857
Beijingers	0.0427843
"Jacques Chirac"	0.0426199
two-hitter	0.0423059
"Congressional Democrats"	0.0418195
handhelds	0.0417248
"Palestinian Central Council"	0.0414999
"Families USA"	0.0414849
"Wlodzimierz Cimoszewicz"	0.0413652
celebs	0.0412727
"English Football Association"	0.0412063
Lithuanians	0.0411035
"Fernando Henrique Cardoso"	0.0410879
restructurings	0.0410279
fast-track	0.0406743
ex-combatants	0.0406285
fourth-graders	0.0404838
"CPC National Congress"	0.0403804
Vandal	0.0402003
"Los Angeles City Council"	0.0401153
))
(ceremony (desc 165593) (sims
meeting	0.178456
celebration	0.177446
"news conference"	0.176359
"press conference"	0.164725
session	0.149946
banquet	0.149335
gathering	0.147244
conference	0.146569
dinner	0.144823
concert	0.144617
gala	0.141706
Rally	0.141335
luncheon	0.139598
inauguration	0.137502
parade	0.137216
speech	0.136789
event	0.136734
festivity	0.136591
summit	0.135214
funeral	0.134874
reception	0.133717
seminar	0.125982
opening	0.125448
festival	0.118259
symposium	0.115323
forum	0.113931
"summit meeting"	0.110859
talk	0.110858
demonstration	0.109397
hearing	0.106401
"press briefing"	0.105978
wedding	0.105796
convention	0.105079
Exhibition	0.104338
show	0.103939
presentation	0.101941
vigil	0.101649
briefing	0.100912
visit	0.0997904
commemoration	0.0987179
fund-raiser	0.0960376
interview	0.0957678
debate	0.0941885
fair	0.0941151
workshop	0.0940892
tour	0.0921899
anniversary	0.091879
announcement	0.0918764
"news briefing"	0.0916732
signing	0.0913587
procession	0.0910518
lunch	0.0906533
appearance	0.0903605
election	0.090241
launch	0.0901435
discussion	0.0895474
breakfast	0.08865
"council meeting"	0.0882558
mass	0.0875039
memorial	0.0871071
"prayer service"	0.087064
match	0.0869246
prayer	0.0864017
ritual	0.0861282
tournament	0.0850965
game	0.0843662
"panel discussion"	0.08419
"board meeting"	0.0835428
reunion	0.0820822
lecture	0.0815154
rite	0.0814369
function	0.0809457
service	0.0804235
address	0.0796351
trial	0.0795301
premiere	0.0794317
protest	0.0785959
preparation	0.0782218
activity	0.078031
arrival	0.0779902
auction	0.0774813
pageant	0.0769578
performance	0.0768407
"Democratic National Convention"	0.0767315
burial	0.0767099
handover	0.0766152
workout	0.0762722
occasion	0.0762253
party	0.0761121
contest	0.0760609
trip	0.0756648
negotiation	0.0752799
date	0.0741005
competition	0.0737009
"town meeting"	0.0730407
proceeding	0.0729874
unveiling	0.0724471
exhibit	0.0716978
final	0.0716762
Telecast	0.0716406
rehearsal	0.0709988
holiday	0.0709986
venue	0.0706573
exercise	0.0705336
round	0.0704798
"World Cup"	0.0703875
Olympics	0.0703618
deadline	0.0700852
practice	0.0699549
tribute	0.0698282
broadcast	0.0698147
dance	0.0697664
bash	0.0693307
"committee meeting"	0.06926
race	0.0691598
caucus	0.0690659
vote	0.0684112
"general election"	0.0683902
program	0.0680328
series	0.0677707
March	0.0676526
"cocktail party"	0.0675318
award	0.0674174
launching	0.067245
championship	0.0670921
voting	0.0669097
consultation	0.0669078
"All-Star Game"	0.0667817
work	0.0667632
scene	0.0666131
office	0.0665095
two-day	0.0664271
firework	0.0661198
graduation	0.0660038
Exposition	0.06593
finale	0.0655832
commencement	0.0654393
"general assembly"	0.0653777
screening	0.0653477
opener	0.0653235
operation	0.0651854
stop	0.0649326
"Academy Awards"	0.0646179
statement	0.0644549
closing	0.0644275
salute	0.0642331
display	0.0641586
"Olympic Games"	0.0640645
day	0.0639371
agreement	0.0634545
moment	0.0634271
observance	0.0632881
balloting	0.0632855
explosion	0.0630509
extravaganza	0.0630503
incident	0.0629513
"Republican National Convention"	0.0628848
conclusion	0.0628222
Assembly	0.0626219
Carnival	0.0620683
picnic	0.0619792
birthday	0.0618675
stage	0.0617808
"state visit"	0.0617669
"Super Bowl"	0.0617455
raid	0.0616228
headquarter	0.0613918
release	0.0613535
time	0.061304
camp	0.0611576
three-day	0.0610333
"dinner party"	0.0607041
remark	0.0606175
committee	0.0605721
referendum	0.0604348
preview	0.0603791
conversation	0.0602666
"practice session"	0.0601046
class	0.0600983
deposition	0.0597498
site	0.0597329
official	0.0592317
feast	0.0589053
bombing	0.05875
end	0.0586127
recital	0.0580569
"exhibition game"	0.057953
President	0.0578517
residence	0.0577771
special	0.0577655
"Asian Games"	0.0577627
doubleheader	0.0576984
fight	0.0576944
project	0.0576565
building	0.0574248
test	0.0573037
poll	0.0572905
Congress	0.0569667
church	0.0568123
stadium	0.0567943
))
(Cerent (desc 1062.72) (sims
XYLAN	0.221204
ascend	0.193557
ALZA	0.169637
SDL	0.167194
Alltel	0.14974
Ciena	0.148886
Cadbury	0.139391
Stratus	0.137557
Transamerica	0.13702
SGI	0.129467
Broadcom	0.128016
SmithKline	0.1273
Netcom	0.127253
PRIMESTAR	0.12471
Comsat	0.124295
COLTEC	0.122776
"Thermo Electron"	0.122017
IDT	0.121715
RJR	0.120325
Cendant	0.118736
McKesson	0.118371
Lilco	0.117033
GPU	0.115881
Northpoint	0.115188
TELLABS	0.115163
NCR	0.112782
Chris-Craft	0.11027
Livent	0.108552
Avondale	0.107689
Tropicana	0.107682
ARCO	0.105853
Broderbund	0.105438
Ameritech	0.105421
LIFFE	0.104279
WPP	0.104174
AutoNation	0.104054
TYCO	0.103572
Conseco	0.103552
sandpiper	0.103093
Marketspan	0.102595
Nextel	0.102196
GeoCities	0.101871
Delphi	0.0996944
Daimler	0.0996157
Inktomi	0.0994423
Sycamore	0.0994364
PolyGram	0.0990796
Seagram	0.0987919
Petrofina	0.0981649
Mediaone	0.0980063
Pitney	0.0976337
Bestfoods	0.0975107
Qwest	0.0968107
Astra	0.0962716
NatWest	0.0961275
Fingerhut	0.0960452
SBC	0.0947634
"Learning Co."	0.0947075
Asda	0.0941555
N@K	0.0936471
Biogen	0.0936043
Aegon	0.0934901
TCI	0.0933667
Sunbeam	0.0931564
"Bankers Trust"	0.0930687
Caldor	0.0926318
Orangina	0.0923734
"RJR Nabisco"	0.0922443
"Northern Telecom"	0.0914108
Litton	0.0912675
ENTERGY	0.091171
Ingram	0.0909905
"U.S. Trust"	0.0909583
Deutsche	0.0900547
CellPro	0.0897881
WebTV	0.0896484
WebMD	0.0896082
Warner-Lambert	0.0887513
Sepracor	0.0886086
Scientific-Atlanta	0.0883755
VoiceStream	0.0883123
BofA	0.0880414
Google	0.0879217
"P&AMP;G"	0.0878802
Overnite	0.0877284
HP	0.0876051
Intuit	0.0875167
Chiron	0.0871265
"HBO &AMP; Co."	0.0870573
Cabletron	0.085354
Nortel	0.084992
Copley	0.0842536
UBS	0.0839624
"Cadbury Schweppes"	0.0836324
"Con Ed"	0.0836195
Akamai	0.0836174
Cisco	0.0835669
"U S West"	0.0834642
Gymboree	0.0833437
PLDT	0.0830982
"American Home"	0.0828398
"US Airways"	0.0827077
CUC	0.0824895
Boo.com	0.0823575
ExciteAtHome	0.0823334
GTE	0.0820621
Alcoa	0.082038
AMP	0.0820374
Mannesmann	0.0814038
Warnaco	0.0813809
"Air Canada"	0.0812552
TiVo	0.080736
Qualcomm	0.080727
Volvo	0.0804678
UAM	0.0801452
Saks	0.0792176
Nabisco	0.0789346
"America West"	0.0785819
"Papa John"	0.0785324
EMC	0.0783559
Asa	0.0782865
ITT	0.0782718
Seagate	0.0779636
RAMBUS	0.0777671
"Big Sur"	0.0777189
MiniMed	0.0776447
SAFY	0.0774911
VENATOR	0.0769301
WELLPOINT	0.0767796
Duchesne	0.0766787
EarthLink	0.0763203
Priceline	0.0759512
Aetna	0.0759382
"Fred Meyer"	0.0757726
HKMA	0.0757594
Tenneco	0.0756511
Healtheon/WebMD	0.0755978
Vivendi	0.0751461
Bertelsmann	0.0751122
Wachovia	0.0750366
Beringer	0.0749082
ENTREMED	0.0743257
Pairgain	0.0738083
Symantec	0.0736132
Amazon	0.0734012
Starwood	0.0729613
Kroger	0.0727116
BankBoston	0.0723779
"BankBoston Corp."	0.0722713
"U S West Inc."	0.0722554
Danka	0.0722463
NORTHROP	0.0720497
Healtheon	0.0719411
Gillette	0.0718494
"Stride Rite"	0.0718386
HBOC	0.0717406
Echostar	0.0715486
"Sprint Corp."	0.0714642
"Union Carbide"	0.0714559
UAL	0.0714265
GoTo.com	0.0713863
Mobil	0.071306
Pepsico	0.070868
WorldCom	0.0708217
"Rite Aid"	0.0704797
bottler	0.0704108
"US West"	0.0704026
Equifax	0.0699863
Raytheon	0.0698891
REVLON	0.0698884
"Telecom Italia"	0.0698495
Humana	0.0698295
"Global Crossing"	0.0698198
Pinkerton	0.0697312
Viacom	0.0696611
NiSource	0.0694365
Infoseek	0.0692542
Conrail	0.0690453
Toysmart	0.0688792
Informix	0.0688154
Opel	0.0687644
All-Tech	0.0686167
"Northeast Utilities"	0.0685815
Transmeta	0.0684496
Pearson	0.068407
SDB	0.0683555
"First Union"	0.0682763
Mattel	0.0680748
E-Stamp	0.0680548
adobe	0.0679463
Kellogg	0.0678293
Genzyme	0.0678041
Enron	0.0676867
"America West Airlines"	0.0672852
AGL	0.0671458
Amway	0.0669224
Penney	0.0666109
"Consolidated Edison"	0.0665316
"Mobil Corp."	0.0665289
Unicom	0.066502
))
(CERN (desc 1359.81) (sims
Fermilab	0.223006
Brookhaven	0.18753
nuclear-weapons	0.10933
"Lawrence Livermore"	0.106663
"Los Alamos National Laboratory"	0.0951643
"California Institute of Technology"	0.0871344
Sandia	0.0866055
Parc	0.0846864
Livermore	0.0841703
"Bell Laboratories"	0.0812835
"Bell Labs"	0.0809448
JPL	0.0806865
"Los Alamos"	0.0797524
UNAM	0.0776135
"Lawrence Livermore National Laboratory"	0.0744995
"germ warfare"	0.0739704
MIT	0.0698136
CalTech	0.067999
UCSF	0.0662512
"National Aeronautics and Space Administration"	0.0637317
"University of Pennsylvania"	0.0635173
"particle physics"	0.0631606
"biological warfare"	0.061745
"Cornell University"	0.0617204
"Oxford University"	0.0616086
Dana-Farber	0.0613433
"Jet Propulsion Laboratory"	0.0611124
NCI	0.0608462
NCEC	0.0606979
"RAND Corp."	0.0601963
plasma	0.0594774
"University of Toronto"	0.0593572
"Johnson Space Center"	0.0587463
"Princeton University"	0.0584624
"Zoo Atlanta"	0.0579267
GIA	0.0579002
Cornell	0.0574968
UNDCP	0.0565391
"Methodist Hospital"	0.0563904
"Mission Control"	0.0563789
"World AIDS Conference"	0.0559667
Celera	0.055693
Marketspan	0.0546594
"Michigan State University"	0.0541469
MGH	0.0534185
NARAL	0.0528918
"Oak Ridge"	0.0521336
"Union of Concerned Scientists"	0.0519053
Chinese-American	0.0517918
CAS	0.0506938
"National Oceanic and Atmospheric Administration"	0.0503878
KPU	0.0500714
"P&AMP;G"	0.0496582
HDZ	0.0492047
ABRI	0.0489441
"Washington University"	0.0488847
"National Cancer Institute"	0.0485553
"University of Hawaii"	0.0485426
MRTA	0.048142
Symantec	0.0479138
"National Electoral Commission of Nigeria"	0.0478418
UC	0.0477243
"Levi Strauss &AMP; Co."	0.0463863
injector	0.0461341
"Woods Hole"	0.0458081
"National Institutes of Health"	0.0457562
CEC	0.0454367
genomics	0.0454268
Schering	0.0454087
"Andersen Consulting"	0.0453153
"Rockefeller University"	0.0451028
"Duke University"	0.0450943
SSE	0.0446323
"University of Michigan"	0.0446032
forensics	0.0444722
"North Carolina State University"	0.0442173
Engler	0.0442145
"Cambridge University"	0.0441833
Wyeth-Ayerst	0.044152
Geron	0.0439414
"University of Arizona"	0.0436811
"University of Colorado"	0.0436785
Sino-French	0.0435586
"University of Iowa"	0.0433912
"Florida State University"	0.0433147
ENTREMED	0.0432938
"five key"	0.0431862
quantum	0.0428721
"U.N. Headquarters"	0.0427034
neutron	0.0424945
SPS	0.0423546
Driven	0.0420419
Auger	0.0419069
Penn.	0.0418688
Honeywell	0.0417949
"Federal Reserve Bank"	0.0414937
"Louisiana State University"	0.0414817
"NZ First"	0.0414642
"European Space Agency"	0.0409238
NASD	0.0409129
vector	0.0407943
"Financial Supervisory Agency"	0.0407829
Kimbell	0.0407439
"Real Networks"	0.0407289
"University of Illinois"	0.0407025
"Network Associates"	0.0405973
"Israeli Foreign Ministry"	0.0405591
IEC	0.0405587
"Environmental Defense Fund"	0.0404981
SDLP	0.0404278
"Niagara Mohawk"	0.0403843
"Truth Commission"	0.0403603
Marineau	0.0403421
"National Marine Fisheries Service"	0.0403228
NIH	0.0402982
Schiffer	0.0400943
))
(certainty (desc 21280.2) (sims
assurance	0.0879973
confidence	0.0859018
accuracy	0.0846399
uncertainty	0.0841067
uniformity	0.081509
predictability	0.0813718
consistency	0.0805559
probability	0.0792865
transparency	0.0783326
unanimity	0.076749
precision	0.0758886
impossibility	0.0756607
optimism	0.0753485
urgency	0.0752117
clarity	0.0747819
justification	0.0731343
accountability	0.0730154
thrill	0.07175
excitement	0.0716185
normality	0.0707118
liquidity	0.0705298
continuity	0.0696496
reassurance	0.0690743
proof	0.068651
comfort	0.06865
anxiety	0.0684721
tranquility	0.0683444
efficiency	0.0683409
Openness	0.0682211
inevitability	0.0680725
sophistication	0.068063
likelihood	0.0679852
disappointment	0.0676942
pessimism	0.0675685
serenity	0.0675165
truth	0.066246
determination	0.0654488
possibility	0.0653748
humility	0.0653089
unreality	0.0652718
suspense	0.0651924
credibility	0.0650539
coherence	0.064977
specificity	0.0649609
finality	0.0647935
satisfaction	0.0644294
candor	0.063922
stability	0.0638779
"foregone conclusion"	0.06366
nervousness	0.0633869
flexibility	0.0633073
cohesion	0.0632746
indication	0.0632327
irony	0.0630984
luxury	0.0629801
ambiguity	0.0629281
spontaneity	0.0628477
permanence	0.0626424
authenticity	0.0624296
honesty	0.0622164
seriousness	0.0612572
apprehension	0.0611507
sense	0.0611219
sincerity	0.0608346
complexity	0.0608343
reality	0.0607981
skepticism	0.0605675
"peace of mind"	0.0605276
vindication	0.0603186
"common sense"	0.0602557
consensus	0.060099
understanding	0.0599986
fairness	0.0599347
"job security"	0.0598312
miracle	0.0595944
regret	0.0595641
uneasiness	0.0595622
legitimacy	0.0594979
verisimilitude	0.0594377
reverence	0.0591934
pleasure	0.0590851
frustration	0.0590809
ambivalence	0.0590614
passion	0.0589492
expectation	0.0589383
knowledge	0.0589293
self-confidence	0.0589105
reliability	0.0588465
desperation	0.0588009
mystery	0.0586737
meaning	0.058623
trepidation	0.0585446
"breathing room"	0.0585177
happiness	0.0584901
necessity	0.0583505
paradox	0.0583462
secrecy	0.0581378
joy	0.0580909
assumption	0.0579561
strength	0.0579018
illusion	0.0578042
pride	0.0578019
dignity	0.0576481
civility	0.0573732
confusion	0.0573314
vitality	0.0572908
unease	0.0572652
prediction	0.0568448
sadness	0.0568396
moral	0.056695
complacency	0.0566256
diversity	0.0564352
discipline	0.0564233
convenience	0.0563723
emotion	0.0563055
willingness	0.0562288
taboo	0.05605
opportunity	0.0557859
resonance	0.0557809
volatility	0.0555862
purity	0.0555315
mobility	0.0555242
feeling	0.055503
doubt	0.0554741
professionalism	0.0554456
presumption	0.0554013
familiarity	0.0553994
bitterness	0.0553553
proposition	0.0552719
logic	0.0552186
sensitivity	0.0552001
blessing	0.0550761
wariness	0.0549367
evidence	0.0549177
representation	0.054813
motivation	0.0547371
simplicity	0.054713
realism	0.054709
elegance	0.0545418
trust	0.0545294
sympathy	0.0544966
no-brainer	0.0544333
tolerance	0.0543989
vigor	0.0543378
effectiveness	0.0542472
Truism	0.0541681
freshness	0.0541551
misconception	0.0540897
negative	0.0540654
specific	0.0540558
formality	0.0540514
leverage	0.0540462
annoyance	0.0539339
explanation	0.0539196
diversification	0.0538388
contradiction	0.0538167
"good will"	0.0538038
integrity	0.0537348
normalcy	0.0536844
wisdom	0.0536294
conclusion	0.0536027
speculation	0.0534064
objectivity	0.0533742
commitment	0.053363
courage	0.0533341
outrage	0.0532985
embarrassment	0.0532129
perfection	0.053053
milestone	0.0530309
encouragement	0.0529497
alarm	0.0529125
relevance	0.0529085
insight	0.0528824
compassion	0.0528175
significance	0.0528139
subtlety	0.0526161
unity	0.0526111
weakness	0.0525881
cynicism	0.0524923
enthusiasm	0.0523729
loyalty	0.0523568
depth	0.0523385
caution	0.0521455
inkling	0.0520884
freedom	0.0520254
warmth	0.051998
improvement	0.051974
decorum	0.051903
novelty	0.0518977
recognition	0.0518654
skittishness	0.0518644
clout	0.0518468
perception	0.0518023
salvation	0.0517494
intimacy	0.0516181
vision	0.0515885
things	0.0515283
despair	0.0515183
momentum	0.0514209
clue	0.0514175
))
(certificate (desc 54976.6) (sims
diploma	0.154588
passport	0.154179
license	0.152284
"driver's license"	0.147326
permit	0.14673
"identity card"	0.142689
"birth certificate"	0.139648
licence	0.130999
"work permit"	0.126612
coupon	0.126033
document	0.124921
card	0.123356
visa	0.120489
certification	0.120076
"credit card"	0.104182
invoice	0.10369
check	0.101594
stamp	0.0979882
registration	0.0970786
receipt	0.0958896
voucher	0.095546
credential	0.0939253
ticket	0.0931177
documentation	0.0884268
authorization	0.0873182
"application form"	0.0848142
letter	0.0837579
subsidy	0.0822288
rebate	0.0821793
scholarship	0.0821672
credit	0.0815053
"promissory note"	0.0807695
award	0.0800145
degree	0.0794711
payment	0.0786267
ID	0.0784515
information	0.0779612
privilege	0.077638
fee	0.0776199
badge	0.0774634
gift	0.0770745
sticker	0.0768989
accreditation	0.0767174
application	0.0762634
loan	0.0757748
patent	0.0756809
cash	0.0756098
prize	0.075487
bond	0.0753222
cheque	0.0750162
note	0.0747543
"official document"	0.074645
refund	0.0738299
insurance	0.0729815
lease	0.0729052
plaque	0.0720753
assistance	0.0718958
identification	0.0717138
guarantee	0.0715824
warrant	0.071282
merchandise	0.0712217
brochure	0.0710899
exemption	0.0706803
notice	0.0706115
grant	0.0705928
paper	0.0705698
Coin	0.0705609
signature	0.070534
map	0.0705151
waiver	0.0701743
"tax break"	0.0700726
kit	0.0695687
"business card"	0.0694878
permission	0.069414
manual	0.0694009
contract	0.0691213
"stock option"	0.0689786
citizenship	0.0688749
"license plate"	0.0686099
discount	0.0685844
data	0.0685721
notification	0.0681595
postcard	0.0680181
instruction	0.0677913
money	0.0676734
"tax credit"	0.0675753
allowance	0.0675689
bonus	0.0675628
copy	0.0675062
approval	0.0672995
Banknote	0.0671452
incentive	0.0667323
"Social Security number"	0.0663137
souvenir	0.0659609
"insurance policy"	0.0656767
citation	0.065379
paperwork	0.0652949
item	0.0652898
photograph	0.0652203
list	0.0649635
requirement	0.0649205
trophy	0.0648559
account	0.0648384
program	0.0645711
clearance	0.0643715
service	0.0643081
subscription	0.0640981
questionnaire	0.0640838
qualification	0.0640593
procedure	0.0640264
proof	0.063983
doctorate	0.0637098
compensation	0.0635761
directive	0.0634849
recognition	0.0631843
pension	0.0630592
standard	0.0629825
Exam	0.0627998
package	0.0627408
fund	0.0626823
"savings bond"	0.0624759
regulation	0.0624658
statistic	0.0620636
T-shirt	0.0616071
bill	0.0615401
authentication	0.0614157
envelope	0.0614151
benefit	0.0611936
decree	0.0611832
system	0.0608595
CD	0.0607285
amnesty	0.0606537
"Treasury bill"	0.0604619
transaction	0.0603635
listing	0.0602944
training	0.0602253
product	0.0602174
reimbursement	0.0601468
"search warrant"	0.0601351
material	0.0601142
poster	0.0600033
"Treasury bond"	0.0599211
access	0.059902
donation	0.0598557
warranty	0.0597659
concession	0.0597543
memo	0.0597355
"financial aid"	0.05972
stipend	0.059548
affidavit	0.0595175
financing	0.0595039
"bank note"	0.0594287
inspection	0.0594238
book	0.0593842
"legal document"	0.0593669
"seal of approval"	0.0593335
equipment	0.0592634
mortgage	0.0591086
"medical record"	0.0589266
booklet	0.05857
"tax return"	0.058513
goods	0.0581847
assessment	0.0580315
fellowship	0.0580233
"letter of credit"	0.0579275
guideline	0.0576279
status	0.0575578
quota	0.0575372
software	0.0574995
transcript	0.0573809
examination	0.0573114
option	0.0571606
medallion	0.0565827
funding	0.0565516
verification	0.0560596
summons	0.0560069
petition	0.0559632
prescription	0.0557593
Declaration	0.0557522
agreement	0.0556865
reward	0.0555756
deposit	0.0555386
"cash payment"	0.0555261
diary	0.0554
tax	0.0552795
code	0.0551542
recommendation	0.0550865
referral	0.0550598
videotape	0.0550444
"greeting card"	0.0550261
provision	0.0549105
deed	0.0548779
tag	0.0548224
"newspaper clipping"	0.0548195
"master's degree"	0.0548176
assurance	0.0547432
annuity	0.0547428
tape	0.054584
jewelry	0.0544171
criteria	0.054403
))
("certificate of deposit" (desc 3348.24) (sims
"Treasury bill"	0.190051
"Treasury bond"	0.143707
"Treasury note"	0.137279
"savings account"	0.132785
"municipal bond"	0.126154
"savings bond"	0.125411
"junk bond"	0.124914
debenture	0.121899
"commercial paper"	0.117526
"money market"	0.115204
"promissory note"	0.114669
annuity	0.114128
"mutual fund"	0.111104
T-bill	0.104683
"time deposit"	0.101742
"bond fund"	0.101371
"bank deposit"	0.0972443
"preferred stock"	0.0969492
"Vanguard Index @@@"	0.096543
mortgage	0.0935213
"convertible bond"	0.092314
"stock certificate"	0.0915537
"checking account"	0.0902589
"credit card"	0.0892547
"traveler's check"	0.0837461
"airplane ticket"	0.0800208
"insurance policy"	0.0783102
"life insurance"	0.0727993
"retirement account"	0.0724988
Eurobonds	0.0716173
"consumer loan"	0.0698307
"bank account"	0.0690677
"home mortgage"	0.0677333
"retirement plan"	0.0666392
"debt security"	0.0654567
"brokerage account"	0.0633428
"precious metal"	0.0629687
"deposit box"	0.0628156
"closed-end fund"	0.0613557
"letter of credit"	0.0611109
T-bonds	0.0603301
"personal loan"	0.0592944
"growth stock"	0.0586477
"computer equipment"	0.0574443
"service contract"	0.0566116
"investment fund"	0.0563002
"equity market"	0.0552925
derivative	0.0550031
"charge card"	0.0548697
"over $@@ billion"	0.0544965
"cash machine"	0.0535173
high-yield	0.0529979
overdraft	0.0524262
"bond issue"	0.0522582
"equity fund"	0.051921
sabbatical	0.0505296
"return address"	0.0505121
"robbery suspect"	0.0490138
"investment trust"	0.0482232
"bond offering"	0.0482096
"money order"	0.0475232
"interest payment"	0.0471292
"futures market"	0.0469452
"bank card"	0.0469279
"water filter"	0.0463035
warranty	0.0462584
"theater ticket"	0.0461709
"common stock"	0.046039
"line of credit"	0.045959
"Roth IRA"	0.0453735
REITs	0.0453579
"Social Security number"	0.045304
"credit line"	0.0452731
"card holder"	0.0448381
"investment portfolio"	0.0447313
cheque	0.0445147
"futures contract"	0.0444313
"equity stake"	0.0442754
"small cap"	0.0441636
widget	0.0437577
"loan application"	0.0437516
corporates	0.0437233
recapitalization	0.0435553
subscription	0.0432015
hGH	0.0428229
"blue-chip stock"	0.042655
"tour of duty"	0.0421524
Mfume	0.0419172
"options contract"	0.0417417
scrip	0.0415193
"golf equipment"	0.0412819
B-shares	0.0411975
"bank note"	0.0407436
invoice	0.0402493
"balance sheet"	0.0400948
))
(certification (desc 26145.2) (sims
accreditation	0.174103
certificate	0.120076
license	0.116551
registration	0.11417
approval	0.111779
authorization	0.105539
clearance	0.104752
inspection	0.104118
verification	0.103731
evaluation	0.102593
permit	0.100034
qualification	0.0978651
"work permit"	0.0933176
"security clearance"	0.0925495
diploma	0.0914268
citizenship	0.0907853
testing	0.0890398
visa	0.0849806
assessment	0.0844234
ISO@@@@	0.0843904
oversight	0.0839863
licence	0.0830531
notification	0.0822725
documentation	0.0813498
financing	0.0805902
authentication	0.0804995
funding	0.0799661
training	0.079662
waiver	0.0793192
standard	0.0790329
standardization	0.0782962
supervision	0.0779694
"driver's license"	0.076984
permission	0.0764102
appraisal	0.0762984
credential	0.0757735
regulation	0.0757183
exemption	0.0751997
examination	0.0740743
eligibility	0.0739369
retraining	0.0738793
enforcement	0.0729576
"disability benefit"	0.0728853
residency	0.0728488
audit	0.0727935
admission	0.0727367
confirmation	0.0720041
review	0.0718704
naturalization	0.0718554
procedure	0.0714459
recognition	0.0712869
clemency	0.0710937
requirement	0.0708691
membership	0.0706981
directive	0.0705378
application	0.0703044
classification	0.0701115
subsidy	0.0700749
pardon	0.0700417
accountability	0.069823
"background check"	0.0696307
protection	0.0695848
renewal	0.0694228
"quality control"	0.0693994
ratification	0.0690132
counseling	0.0689167
parole	0.0688151
privilege	0.0686331
Promotion	0.0686161
endorsement	0.0686104
disclosure	0.068379
"pay raise"	0.0680673
amnesty	0.0679016
employment	0.0675807
patent	0.0674174
assistance	0.067364
Exam	0.0672401
proficiency	0.0671933
"financial aid"	0.0671004
MFN	0.06707
maintenance	0.0670606
acceptance	0.0667314
recommendation	0.0666508
reinstatement	0.0665002
education	0.0664856
assurance	0.0663693
designation	0.0661676
allocation	0.0654426
"medical care"	0.0653697
competency	0.0653335
appointment	0.0653081
status	0.0652763
asylum	0.0650125
degree	0.0643703
curriculum	0.0642847
access	0.0641929
compliance	0.0640098
expertise	0.0639977
screening	0.0636815
"training program"	0.0632628
proclamation	0.0631852
procurement	0.0630507
management	0.0621267
"marriage license"	0.0619133
placement	0.0616446
guideline	0.0616303
referral	0.0615008
"safety standard"	0.0612573
adoption	0.06111
"seal of approval"	0.0609805
knighthood	0.0609538
enhancement	0.0607592
identification	0.0607027
paperwork	0.0606817
reimbursement	0.0606801
compensation	0.0604827
entry	0.0597887
treatment	0.0597582
payment	0.0596311
consent	0.0594919
insurance	0.0594617
guarantee	0.0594583
passport	0.0593803
legislation	0.0591461
quarantine	0.0587277
modification	0.0587056
immigration	0.058632
monitoring	0.0584259
scrutiny	0.0583632
restriction	0.0582918
recruitment	0.0582738
competence	0.0581918
provision	0.0580348
arbitration	0.0578459
injunction	0.0578169
hiring	0.05771
removal	0.0575689
"food stamp"	0.0568392
planning	0.056547
skill	0.0564309
"retirement benefit"	0.0562367
"vocational training"	0.0562346
"building permit"	0.0560919
scholarship	0.056071
nomination	0.0560489
validation	0.0559409
warranty	0.0558195
interoperability	0.0556884
filing	0.0556605
care	0.0555436
deployment	0.0554921
instruction	0.0554707
judgment	0.0554143
deferment	0.0552009
research	0.0551716
mandate	0.0551482
quota	0.0550321
pension	0.0549437
"family planning"	0.054828
"health benefit"	0.0548078
accounting	0.0547594
"identity card"	0.0544925
incentive	0.0543666
governance	0.0543083
immunity	0.0542852
immunization	0.0542806
forfeiture	0.0541502
cancellation	0.0539785
discipline	0.0539015
discharge	0.0537209
petition	0.0535847
taxation	0.0535202
safety	0.0534528
analysis	0.0533861
Medicaid	0.0533298
sanction	0.0533293
mobility	0.0532062
"legal status"	0.0528416
distribution	0.052826
"due process"	0.0527917
appropriation	0.052702
safeguard	0.0526864
Declaration	0.0526385
Implementation	0.0526252
tutoring	0.0525663
lifting	0.0525472
knowledge	0.0525151
extension	0.0525029
rehabilitation	0.0524837
pricing	0.05245
annulment	0.0523158
investigation	0.0523066
stipend	0.0522147
representation	0.0521665
improvement	0.0518839
formulation	0.0518451
Privatization	0.0517572
tariff	0.0517153
suspension	0.0516611
"education program"	0.0515378
))
("certified public accountant" (desc 2088.4) (sims
CPA	0.184061
"management consultant"	0.141797
"investment adviser"	0.135981
accountant	0.13379
paralegal	0.126416
stockbroker	0.112358
"second person"	0.107242
"plastic surgeon"	0.104966
appraiser	0.0985686
"civil engineer"	0.0970987
"investment banker"	0.0969879
"computer expert"	0.0932328
"real estate broker"	0.091879
newspaperman	0.0909377
seamstress	0.0879574
"electrical engineer"	0.0862187
"public speaker"	0.0852056
"social worker"	0.0848181
"law student"	0.0846787
"computer programmer"	0.0837584
"social scientist"	0.0827621
"private investigator"	0.0809006
psychologist	0.0803379
"software engineer"	0.0803225
auditor	0.0800355
"math teacher"	0.0799397
Realtor	0.0792421
"school principal"	0.0786412
"real estate agent"	0.0785403
"foreign service officer"	0.0783552
"insurance broker"	0.0782567
"deputy sheriff"	0.0773759
schoolteacher	0.0769509
dentist	0.0768988
epidemiologist	0.0765948
"press agent"	0.0762357
ghostwriter	0.0761529
Litigator	0.0760395
"insurance agent"	0.0758025
"first pitcher"	0.0745805
landscaper	0.0743067
"financial officer"	0.0742351
paraplegic	0.0742173
"printing company"	0.074131
"Rhodes Scholar"	0.073664
litigant	0.0732692
"eye doctor"	0.073187
"registered nurse"	0.0729561
jurist	0.0726652
"sales manager"	0.0720321
"Barry Scheck"	0.0714024
caterer	0.0713037
notary	0.0709827
medic	0.0709417
"air force officer"	0.0709221
internist	0.0698558
"talent agent"	0.0697647
bookkeeper	0.0697479
geographer	0.069412
"day laborer"	0.0691997
bricklayer	0.0679356
stewardess	0.0678834
"David Kendall"	0.0678426
"physical therapist"	0.0676745
plumber	0.0676529
electrician	0.0676327
"naval officer"	0.0674101
stuntman	0.0673636
homemaker	0.0673563
"lieutenant colonel"	0.0666677
veterinarian	0.0662342
chiropractor	0.0661891
"Johnnie Cochran"	0.0658509
"art historian"	0.0655327
pediatrician	0.0655072
Councilman	0.0654105
"real estate developer"	0.0651973
"maintenance man"	0.0650746
"computer scientist"	0.0646072
goal-scorer	0.064166
"interior designer"	0.0640867
"police captain"	0.0637248
"traveling salesman"	0.0636981
infantryman	0.0630658
geophysicist	0.0630384
fireman	0.0629193
geologist	0.0628812
part-timer	0.0628528
"art director"	0.0628131
mathematician	0.0627406
"public defender"	0.0625819
"investment firm"	0.0625234
"clinical psychologist"	0.0622447
psychoanalyst	0.0616645
psychiatrist	0.0616253
therapist	0.0615096
"corporate executive"	0.0611685
"Jim Thomas"	0.0608609
pathologist	0.0605818
"mechanical engineer"	0.0604911
postgraduate	0.0601773
"literary agent"	0.0600009
ethicists	0.0599442
"private detective"	0.0599236
psychotherapist	0.0597527
"school superintendent"	0.0597383
"decision maker"	0.0595649
Episcopalian	0.0595048
Oregonian	0.0595037
"English teacher"	0.0594034
cardiologist	0.0592904
"business executive"	0.059122
"Black Panther"	0.0590599
"heart surgeon"	0.0590518
lifeguard	0.0589585
pharmacist	0.0589348
Murr	0.0589044
violinist	0.058795
"senior executive"	0.0587514
archivist	0.0587487
"family doctor"	0.0584722
copywriter	0.0584413
Granik	0.0581061
switch-hitter	0.0580614
actuary	0.0576645
salesmen	0.0574023
Irishman	0.057254
dermatologist	0.0571936
"English professor"	0.0567909
adjuster	0.0567204
"Gregory Craig"	0.0566585
rower	0.0566052
beautician	0.0564692
"state senator"	0.0564283
"sports editor"	0.0563553
goalscorer	0.0562568
sportscaster	0.056243
Gastroenterologist	0.0562215
gatherer	0.0561392
"police detective"	0.0559327
publicist	0.0559152
clergyman	0.0559137
"important person"	0.0557507
optometrist	0.055658
repairman	0.0554428
lecturer	0.0554088
mailman	0.0553991
"Elyakim Rubinstein"	0.0552704
"black person"	0.0552629
"M University"	0.0551745
restaurateur	0.0551596
councilwoman	0.0551018
"medical student"	0.0550339
"newspaper editor"	0.0549737
"break of serve"	0.0546863
neurosurgeon	0.0545449
"graduate student"	0.0543465
miler	0.0543178
healer	0.0542914
"police lieutenant"	0.0542332
whistle-blowers	0.0542211
"lieutenant general"	0.0542002
"TV reporter"	0.0541281
"general practitioner"	0.0541219
grandmaster	0.0541022
translator	0.0540737
"ballet dancer"	0.0539871
wacko	0.05393
"department head"	0.0538731
co-owner	0.0537661
"ad agency"	0.0537294
"Ty Law"	0.0536517
"murder suspect"	0.0536164
widower	0.053603
"High Museum of Art"	0.0535784
recluse	0.053392
confidante	0.0532607
"brigadier general"	0.053195
"sounding board"	0.0530636
roofer	0.0528672
"faculty member"	0.0526985
"temporary worker"	0.0524793
punchline	0.0523438
firefighter	0.0522849
doer	0.0522524
"landscape architect"	0.0522262
"A.P Indy"	0.0522173
barrister	0.0522125
Methodist	0.0521985
"school teacher"	0.0521635
batboy	0.0521224
"joint-stock company"	0.052119
transient	0.0520057
"project manager"	0.0518609
"special agent"	0.0517768
Englishwoman	0.0517708
weatherman	0.051749
"department employee"	0.0516816
newlywed	0.0515533
"prima donna"	0.0514175
))
(certitude (desc 1279.45) (sims
"blind spot"	0.0801894
blinder	0.0753467
rightness	0.0712322
relativism	0.0646849
side-effects	0.0603342
laxity	0.0592178
exemplar	0.058539
"feast day"	0.0560922
absolutes	0.0550542
fulcrum	0.0544701
relativity	0.0538781
Balkanization	0.0533193
inflexibility	0.0529981
cudgel	0.0525307
acceptability	0.0524613
righteousness	0.0524086
rigidity	0.0522347
cross-fertilization	0.0522164
informality	0.0521651
bullishness	0.0518336
baloney	0.0507606
zealotry	0.0504901
predominance	0.0491856
surtax	0.0488173
unanimity	0.0487307
disquiet	0.0483873
imperatives	0.0482596
impossibility	0.0482194
hypocrite	0.0476949
"Shas Party"	0.0476287
"life style"	0.0473523
"Word of God"	0.0471549
copout	0.0469816
exigency	0.0469072
tidings	0.0466658
qualm	0.0465181
fortitude	0.046378
wariness	0.0460922
piety	0.0460495
impartiality	0.0460422
"upper hand"	0.0453269
nicety	0.0450166
believability	0.0449867
moxie	0.0443609
"world view"	0.0442913
downslide	0.0441954
"frame of reference"	0.0439331
objectivity	0.0438886
astonishment	0.043433
"melting pot"	0.043359
cipher	0.0433532
"goose bumps"	0.0427902
oodles	0.0423891
revulsion	0.042204
dimple	0.0421502
"strong belief"	0.0417013
zeitgeist	0.0416734
"holy day"	0.0416621
moron	0.0416362
threshhold	0.0416103
plurality	0.0415544
amnesia	0.0414616
intuition	0.0410874
indoctrination	0.0409884
puzzlement	0.0409265
signpost	0.0406962
Truism	0.040685
erasure	0.0406416
assertiveness	0.0402552
))
(cervix (desc 1887.89) (sims
ovary	0.246142
uterus	0.194964
esophagus	0.185338
larynx	0.180768
prostate	0.170461
rectum	0.138175
"digestive system"	0.135429
colon	0.120863
vagina	0.120553
bladder	0.116563
"digestive tract"	0.115117
"prostate gland"	0.114936
breast	0.112607
pancreas	0.103056
genitalia	0.0993211
lung	0.0929896
genital	0.0915536
testicle	0.088346
buttock	0.0867083
bowel	0.084145
penis	0.0837002
abdomen	0.0834645
intestine	0.0830501
"lymph node"	0.0814186
kidney	0.0812307
capillary	0.0807607
"vocal cord"	0.0770039
pelvis	0.0721312
"large intestine"	0.0708062
"bone marrow"	0.0669148
crotch	0.0647459
thyroid	0.0634222
"blood vessel"	0.0591601
"private parts"	0.0587198
womb	0.0586931
"eye socket"	0.0543171
incision	0.0528413
gallbladder	0.0519632
torso	0.0501916
undergarment	0.0500972
placenta	0.0492831
"pubic hair"	0.0487803
"brain stem"	0.048068
"spinal cord"	0.0478357
fibroids	0.0464216
"central nervous system"	0.0459755
cornea	0.0446025
nostril	0.0436213
eyelid	0.0428818
"National Invitation Tournament"	0.0427777
"Stage @"	0.0427314
"first match point"	0.0411597
gland	0.04077
nipple	0.0405086
abrasion	0.0404448
"hammer throw"	0.040137
))
(Cesar (desc 3635.43) (sims
Dom	0.0853234
Bolivar	0.0731423
Hugo	0.0701851
Antioquia	0.0698139
Putumayo	0.0646249
Alberto	0.0624564
Mitch	0.0607351
Bret	0.0583857
Trevor	0.0579382
Jose	0.0566952
"Golden Globe"	0.0557247
Dominic	0.0550834
Irene	0.0535681
Meta	0.0528226
Congeniality	0.0525384
Gravano	0.052426
"Dylan Klebold"	0.0521371
"Legion of Honor"	0.0512825
"Golden Bear"	0.0508584
Bonnie	0.050567
Americorps	0.0494087
Celia	0.0493569
Kodikian	0.0492391
"Michael Skakel"	0.0492307
Sergio	0.0489927
Baez	0.0485774
Georges	0.0485769
Autry	0.0480897
Bidwill	0.0477816
sucre	0.0474497
Forty-two	0.0470675
Shane	0.0464375
Rothko	0.0463193
Hamzah	0.0459451
Sarsour	0.0457304
"Al Fayed"	0.0456037
Andrew	0.0455426
Grammy	0.0454628
Joshua	0.0453164
Gabriel	0.0451919
Dickie	0.0448265
CMA	0.0443973
Tony	0.0443497
Bertha	0.043933
Camille	0.0437364
Baumhammers	0.0436923
Denilson	0.0435349
"Gold Glove"	0.0435197
Milken	0.0434536
Olivier	0.0434492
Floyd	0.0433975
Cordoba	0.0432699
Odai	0.0432144
Eddie	0.0426354
Whaley	0.0426334
Marc	0.0425659
Hess	0.0422756
Leonardo	0.0419116
Dennis	0.0418603
Darrell	0.0416455
Walter	0.0414647
Anne	0.0413524
Gerald	0.0410946
Shawn	0.0408852
bridegroom	0.0405614
Peabody	0.0405607
Ivan	0.0403249
Valle	0.040283
))
("Cesar Chavez" (desc 1554.1) (sims
"Lech Walesa"	0.0922431
"Martin Luther King Jr."	0.0684875
"Menachem Begin"	0.0656673
"Xu Wenli"	0.0639568
"Malcolm X"	0.0630833
"Pee Wee Reese"	0.0596617
"Jose Ramos-Horta"	0.0593838
"Ho Chi Minh"	0.0581165
"Sam Nunn"	0.0579552
"Sheikh Ahmed Yassin"	0.0577478
Peachtree	0.0569
Sahnoun	0.0567255
"John J. Gotti"	0.0566586
"John Lennon"	0.0557762
"Ken Saro-Wiwa"	0.055373
"Harry Wu"	0.054376
"Roy Campanella"	0.0542028
"Andreas Papandreou"	0.0527437
"Henry Ford"	0.0527383
espana	0.0524093
Guevara	0.0518715
Klerk	0.0506827
"Wei Jingsheng"	0.0505524
"Martin Luther King"	0.0504322
"Ted Turner"	0.0499551
"Jeff Bezos"	0.0471291
"Desmond Tutu"	0.0470867
"Charles Lindbergh"	0.0468383
"James Dobson"	0.0462677
"Abbie Hoffman"	0.046228
Sakyamuni	0.0460026
"Henry Aaron"	0.0459416
"Nolan Ryan"	0.045813
"William Randolph Hearst"	0.0453855
"Mahatma Gandhi"	0.0448438
"Sonny Bono"	0.0443591
"Second Avenue"	0.0437888
"Rosa Parks"	0.0437711
"A.P Indy"	0.0436926
"Steven Brill"	0.0436707
Gachet	0.0428924
"First Avenue"	0.0426476
"Tom Hayden"	0.0423854
"Sarah McLachlan"	0.0423835
Wally	0.0422811
Kai-shek	0.0422663
"John Brown"	0.0420365
"Queen Beatrix"	0.0418465
Whittingham	0.041752
Pryor	0.0415476
"Lexington Avenue"	0.0413865
"HOWARD COSELL"	0.0410634
Raitt	0.0409501
"Vaclav Havel"	0.0406505
"Dora Maar"	0.0404122
Wilkens	0.0401824
))
("Cesar Gaviria" (desc 1714.04) (sims
"Sepp Blatter"	0.248461
"Koichi Kato"	0.211278
"Salim Ahmed Salim"	0.203164
"Le Kha Phieu"	0.192865
"Cyril Ramaphosa"	0.188501
"George Robertson"	0.176619
"Yoshiro Mori"	0.163843
"Boutros Boutros Ghali"	0.160085
Muoi	0.159631
"Javier Solana"	0.155562
"Cao Zhi"	0.151019
"Abu Mazen"	0.14185
Phieu	0.130754
"Pascoal Mocumbi"	0.128357
"Yukio Hatoyama"	0.128333
"Pandeli Majko"	0.125365
"Mahmoud Abbas"	0.121129
Stoyanov	0.113422
"Kim Yong Nam"	0.111514
"Esmat Abdel Meguid"	0.11145
"Chea Sim"	0.10913
"Boutros Boutros-Ghali"	0.108481
"Michael Heseltine"	0.108178
Blatter	0.107875
"Bashkim Fino"	0.105375
"Ricardo Alarcon"	0.105307
"Mikulas Dzurinda"	0.104207
Zeroual	0.10314
"Chen Ziying"	0.102659
Nazarbayev	0.10029
"Prime Minister Kamal El-Ganzouri"	0.0990731
"Lee Hsien Loong"	0.0977659
"Wang Zhongyu"	0.0952954
Lipponen	0.094224
Ganzouri	0.094036
"Andres Pastrana"	0.0937583
"Richard Blumenthal"	0.0917807
"Wlodzimierz Cimoszewicz"	0.0914154
"Girija Prasad Koirala"	0.0913123
"John Sweeney"	0.0904554
"Vo Van Kiet"	0.0897267
"Wu Yi"	0.0896224
"Jerzy Buzek"	0.0896128
Luong	0.0890838
Solana	0.088929
"Valery Pustovoitenko"	0.0887687
"Krishna Prasad Bhattarai"	0.0885952
"Tang Jiaxuan"	0.0882216
"Secretary General Esmat Abdul-Meguid"	0.0880384
"Jiang Zemin"	0.088012
al-Khatib	0.0879172
"Goran Persson"	0.0875895
"Gro Harlem Brundtland"	0.0873861
"Aung San Suu Kyi"	0.0872462
"Yossi Sarid"	0.0870067
"Mike Moore"	0.0869386
"Ivan Kostov"	0.086085
Masire	0.0860368
al-Bashir	0.0858327
Karimov	0.0858038
"H.D Deve Gowda"	0.0857301
"Antonio Guterres"	0.0855265
Akayev	0.0851747
Salim	0.0851087
el-Ganzouri	0.0845735
Majko	0.0842414
"Kim Jong Il"	0.0841755
Niyazov	0.0834519
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0830461
"Martti Ahtisaari"	0.083044
Dehaene	0.0829642
"Meles Zenawi"	0.0827771
"Fatos Nano"	0.0822225
"Tareq Aziz"	0.0819362
"Laurent Fabius"	0.0812502
"Abdullah Ahmad Badawi"	0.0809784
"Lamberto Dini"	0.0809181
"Than Shwe"	0.0808552
Gurirab	0.0806698
"Natan Sharansky"	0.0804913
"Hans Blix"	0.0796346
Frei	0.0794437
Klestil	0.0793286
Fino	0.0788551
"Jack Valenti"	0.0782829
Shaath	0.0779437
Scalfaro	0.0777905
"Scott Harshbarger"	0.0777742
Mkapa	0.077728
"Abdurrahman Wahid"	0.0775984
"Jacques Santer"	0.0775928
Chissano	0.0772992
"Franjo Tudjman"	0.0772069
"Ariel Sharon"	0.0771888
"Phan Van Khai"	0.0768341
"Tim Fischer"	0.076717
"Alija Izetbegovic"	0.0765182
"Boris Nemtsov"	0.076395
"Necmettin Erbakan"	0.0763074
"Oladipo Diya"	0.075963
"Abdul Salam Majali"	0.0758445
"Mohammad Khatami"	0.0755194
"Yegor Stroyev"	0.0754948
"Tian Jiyun"	0.0750066
"Alexander Lebed"	0.074725
"Khin Nyunt"	0.0746778
"Frederick Sumaye"	0.0745519
"Romano Prodi"	0.0744893
Siazon	0.0740979
"Keizo Obuchi"	0.0739951
Meguid	0.0734909
Alatas	0.0734132
Shevardnadze	0.0733882
"Juan Antonio Samaranch"	0.0732189
"Yuri Maslyukov"	0.073137
"Chavalit Yongchaiyudh"	0.0729563
Axworthy	0.0724714
"Defense William Cohen"	0.0723662
"Joel Klein"	0.0722501
"David Levy"	0.0722446
"Tin Oo"	0.0720988
Abdel-Meguid	0.0718925
Izetbegovic	0.0717632
"Atef Obeid"	0.071469
Diouf	0.071396
"Ketumile Masire"	0.0711356
"Chinese Olympic Committee"	0.070875
Constantinescu	0.0706958
Kwasniewski	0.0706121
Vice-Premier	0.0703901
"Speaker Ali Akbar Nateq-Nouri"	0.0701378
"Renato Ruggiero"	0.0698994
"de Charette"	0.069812
Tella	0.0698077
Nujoma	0.0697385
"Jacques Chirac"	0.0697243
Velayati	0.0696167
Moratinos	0.0696164
"vice- president"	0.0695334
"Huang Ju"	0.0695243
"Frank Joklik"	0.0695031
al-Hariri	0.0694609
Surin	0.0690064
"Gulbuddin Hekmatyar"	0.0688963
"Maung Aye"	0.0686848
"Secretary General Boutros Boutros-Ghali"	0.0682289
"Winnie Madikizela-Mandela"	0.0679847
"Atal Behari Vajpayee"	0.0678338
"Li Tieying"	0.0678001
Komura	0.0677419
"Aslan Maskhadov"	0.0677099
"Vaclav Klaus"	0.0676729
Santer	0.0676278
"Tariq Aziz"	0.067623
"Zoran Djindjic"	0.0676138
"Costas Simitis"	0.0674651
"Gerry Adams"	0.0673577
"Tomiichi Murayama"	0.0672085
"Lawrence Summers"	0.0669721
Zhenyu	0.0667309
"Secretary General Esmat Abdel-Meguid"	0.0666278
directors-general	0.066617
Nzo	0.0664934
Majali	0.066444
"John Bruton"	0.0663466
"Princess Anne"	0.066302
Lebed	0.066096
"Seamus Mallon"	0.0660859
Kharrazi	0.0658324
"Wang Zhaoguo"	0.0657806
Ghalib	0.0655927
Ahtisaari	0.0655117
Rabbani	0.0653681
"Tom Johnson"	0.0652664
"Chuan Leekpai"	0.0652289
Menem	0.0652043
"Warren Christopher"	0.0650488
"Victor Chernomyrdin"	0.0649889
"Bulent Ecevit"	0.0649548
Bhattarai	0.0649339
"Wei Jianxing"	0.0648729
"Dos Santos"	0.0647528
"Deve Gowda"	0.0647287
"Jordanian King Abdullah Bin Hussein"	0.0646336
"Carmen Policy"	0.0644195
"Wim Kok"	0.0643134
Guterres	0.0642909
"John Anderson"	0.0641225
vice-president	0.0641145
Luo	0.0640165
Muluzi	0.0639372
"Joao Havelange"	0.0639274
Chuan	0.0638828
Buthelezi	0.0637612
Abbas	0.0636065
"Goh Chok Tong"	0.0635286
"Benazir Bhutto"	0.0635225
"Hubert Vedrine"	0.0635125
Hrawi	0.0633699
"Queen Beatrix"	0.0631435
))
("Cesar Sampaio" (desc 2414.25) (sims
"Roberto Carlos"	0.250088
Rivaldo	0.247759
Denilson	0.241517
Cafu	0.217992
Dunga	0.204304
Bebeto	0.19279
Aldair	0.188637
Edmundo	0.1858
Romario	0.172056
Leonardo	0.164555
"Luis Figo"	0.155461
Giovanni	0.141724
Juninho	0.132416
Zico	0.130374
"Harry Kewell"	0.116595
"Youri Djorkaeff"	0.110186
"Hidetoshi Nakata"	0.1091
"Edgar Davids"	0.107403
"Robert Prosinecki"	0.106959
"Emmanuel Petit"	0.105582
"Dennis Bergkamp"	0.10424
"Dejan Stankovic"	0.102524
"Zinedine Zidane"	0.0984653
"Zvonimir Boban"	0.0964108
"Mauricio Ramos"	0.0953771
"Carlos Valderrama"	0.0948339
"Roberto Baggio"	0.0945829
Bergkamp	0.0934639
Batistuta	0.0929569
"Robert Jarni"	0.0922059
"Steve McManaman"	0.0907128
"Paul Ince"	0.0905863
"Mario Stanic"	0.0900898
"Tab Ramos"	0.0879219
"Eddie Lewis"	0.0848145
Sissi	0.0844915
"Alan Shearer"	0.0843163
"Kristine Lilly"	0.0830753
"Claudio Reyna"	0.0829532
"Junior Baiano"	0.0828924
"Christian Karembeu"	0.0823301
Taffarel	0.0808917
Ronaldo	0.0805059
"Diego Simeone"	0.0804398
"Thomas Haessler"	0.0797248
Zidane	0.0788345
"Julie Foudy"	0.0784331
"Patrick Vieira"	0.0774189
"Davor Suker"	0.076935
"Phillip Cocu"	0.0758967
"Dejan Savicevic"	0.0757304
"Marco Etcheverry"	0.0749282
"Marcelo Salas"	0.0742702
"Luigi Di Biagio"	0.0742588
"Paul Merson"	0.0741252
"Michael Owen"	0.0736759
"Mauricio Cienfuegos"	0.0733547
Baggio	0.0730676
"Clarence Seedorf"	0.0727271
Emerson	0.0725511
"David Trezeguet"	0.0723856
"Fan Zhiyi"	0.0721991
"Predrag Mijatovic"	0.0717634
Hagi	0.0716602
"Gheorghe Hagi"	0.0707911
Sampaio	0.0694872
"Ben Olsen"	0.0692238
"John Collins"	0.0688909
"Fernando Hierro"	0.0687195
"Christian Vieri"	0.0683296
"Luis Hernandez"	0.0677416
"Gabriel Batistuta"	0.067175
"Andreas Moeller"	0.065712
"Marcel Desailly"	0.065618
"Roy Keane"	0.0647884
"Laurent Blanc"	0.0636455
"Paul Gascoigne"	0.0635349
"Leonel Alvarez"	0.0632309
"Robert Pires"	0.0628813
"Andy Williams"	0.0626223
"Michael Laudrup"	0.0614892
"Ivan Zamorano"	0.0609914
"Khodadad Azizi"	0.0606355
Nakata	0.0603947
"Juergen Klinsmann"	0.0602949
"Didier Deschamps"	0.0602386
"Ariel Ortega"	0.0599692
"Patrick Kluivert"	0.0598661
"John Harkes"	0.0597334
"Ronald de Boer"	0.0591322
"Ryan Giggs"	0.0589579
"Clint Mathis"	0.0585527
"Paul Scholes"	0.0577171
"Hao Haidong"	0.0577158
"Tiffeny Milbrett"	0.0573987
"Cobi Jones"	0.0572186
"Brian McBride"	0.0567847
"David Beckham"	0.0558057
Zamorano	0.0550712
"Hu Weidong"	0.0546436
"Cliff Ronning"	0.0545703
"Dino Baggio"	0.0540387
Rucchin	0.0530126
"Ian Wright"	0.0529471
Salas	0.0519323
"Michelle Akers"	0.0516566
Djorkaeff	0.0509513
"Lilian Thuram"	0.0509311
Jair	0.0507219
"Joy Fawcett"	0.0503711
"George Weah"	0.0502684
Hejduk	0.0500653
"Gary Roberts"	0.0493951
"Joe-Max Moore"	0.0492802
"Sun Wen"	0.0489972
"Dan Petrescu"	0.0485827
"Teddy Sheringham"	0.0478471
"Brian Laudrup"	0.0478041
"Dwight Yorke"	0.0475176
"Ante Razov"	0.0467313
"Darren Anderton"	0.0465737
"Frankie Hejduk"	0.0465655
Vieri	0.0455654
"Alessandro Del Piero"	0.0450276
"Chris Drury"	0.0450003
"John LeClair"	0.044582
"Raul Gonzalez"	0.0440532
"Tamika Catchings"	0.0440197
"Christophe Dugarry"	0.0438724
"Cindy Parlow"	0.0435596
"Darrick Martin"	0.0431869
"Stern John"	0.04306
"Niklas Sundstrom"	0.0416429
Andreychuk	0.041503
"Nwankwo Kanu"	0.0413373
"Shannon MacMillan"	0.0410845
Pu	0.0410179
"Stan Collymore"	0.0407878
Bhattarai	0.0403161
"Scott Niedermayer"	0.0402321
"Adrian Ilie"	0.0402273
Bierhoff	0.0401726
))
(Cessation (desc 13071.8) (sims
ceasefire	0.183188
halt	0.150636
cease-fire	0.146444
demilitarization	0.137456
resumption	0.130614
lifting	0.120665
truce	0.114593
disarmament	0.113003
withdrawal	0.107456
Intensification	0.107182
pullout	0.102837
continuation	0.0978953
abolition	0.0964168
Implementation	0.0945562
disengagement	0.0937475
restoration	0.0909697
escalation	0.0898116
de-escalation	0.0894085
elimination	0.0882685
termination	0.0870968
scrapping	0.0847126
deployment	0.0824543
eradication	0.0810517
reduction	0.0802244
repatriation	0.0784176
avoidance	0.0778459
suspension	0.0772701
demobilization	0.0770111
renewal	0.0766374
moratorium	0.0751132
convening	0.0738607
removal	0.0733962
postponement	0.0733086
settlement	0.0732851
renunciation	0.0727604
restructuring	0.0721987
reinstatement	0.0719451
redeployment	0.0718201
repeal	0.0714557
strengthening	0.0712978
peace	0.0709295
democratization	0.0699737
commencement	0.0695267
condemnation	0.0694279
prevention	0.0692682
establishment	0.0689857
pullback	0.0683892
cancellation	0.0682746
reconciliation	0.068221
normalization	0.0679625
prohibition	0.0666689
separation	0.0664853
dissolution	0.0659962
enactment	0.0658774
overhaul	0.0655864
solution	0.0655641
integration	0.065499
resolution	0.0654778
reexamination	0.0651575
Liberalization	0.0649459
mobilization	0.0648849
"third night"	0.0645363
"wage increase"	0.0640982
reunification	0.0638984
easing	0.0630619
disbandment	0.062952
intervention	0.0629329
phaseout	0.0628497
creation	0.0621883
rollback	0.0621347
nationalization	0.0616787
shutdown	0.061214
secession	0.0611719
closure	0.0611041
compliance	0.0609888
weight-loss	0.0609567
formation	0.0608536
amnesty	0.0607903
time-out	0.0605506
handover	0.0603465
autonomy	0.0600635
stoppage	0.0600606
legalization	0.0600491
conservation	0.0599801
dismantling	0.059807
stationing	0.0597464
unification	0.0596492
mediation	0.0593868
dialog	0.0591763
acceptance	0.0590443
Privatization	0.0589536
disclosure	0.0583245
standstill	0.0583092
acceleration	0.0579392
adoption	0.0577568
formulation	0.05758
suppression	0.0573788
enforcement	0.0571504
reorganization	0.0568
alleviation	0.0564915
belligerents	0.0564497
"land reform"	0.0563025
reconsideration	0.0562879
realization	0.0561398
coordination	0.0561157
harmonization	0.055935
self-government	0.0558638
expansion	0.0555907
Promotion	0.0555014
monitoring	0.0553561
flare-up	0.0551568
initiation	0.0547038
"military action"	0.0543578
governance	0.0542765
Dismissal	0.0542405
upsurge	0.0542001
ratification	0.0541193
"New Wave"	0.0540795
self-rule	0.0538556
reactivation	0.0537502
"family planning"	0.0536682
disbanding	0.0536325
recognition	0.0533529
"U.N. Security Council Resolution @@@"	0.0531924
arbitration	0.0530283
modality	0.0530125
relocation	0.0529281
rehabilitation	0.0528871
self-determination	0.0527364
relaxation	0.0525576
"free trade"	0.0524461
destruction	0.0524371
statehood	0.0522966
stability	0.0522928
repayment	0.0522895
renegotiation	0.0519196
accession	0.0518097
stabilization	0.0517445
redistribution	0.0516984
demarcation	0.0516215
emancipation	0.0515645
extension	0.0515302
banning	0.0514318
revision	0.0514157
evacuation	0.0512861
realignment	0.0512628
standardization	0.051039
rejection	0.050802
privatisation	0.0507271
expulsion	0.0507123
reevaluation	0.0504918
reversal	0.0504713
transparency	0.050131
reintroduction	0.0501062
maintenance	0.0499921
equality	0.0499188
enlargement	0.0498736
consolidation	0.0496377
pardon	0.0495297
oversight	0.0494538
modernization	0.049285
Reauthorization	0.0492605
self-regulation	0.0492403
revocation	0.0492391
deregulation	0.0492055
reconstruction	0.0491926
immunization	0.0489953
annexation	0.0489315
preservation	0.0488079
mistrial	0.0487935
forgiveness	0.048598
rectification	0.0483269
"peace treaty"	0.0482872
resignation	0.0482478
divestiture	0.0481537
Tightening	0.0479623
resurgence	0.0479288
"arms control"	0.0471937
continuance	0.0471805
fulfillment	0.0471655
drafting	0.0470442
reintegration	0.0469882
accountability	0.0469463
Openness	0.0468957
rapprochement	0.0468687
understanding	0.0468592
shakeup	0.0468516
reopening	0.0468281
"tax cut"	0.0468151
enhancement	0.0468082
reassessment	0.0467874
"policy change"	0.0467802
ouster	0.0463653
cutback	0.04624
referendum	0.0461787
nutrition	0.0460555
"conflict resolution"	0.0460497
disavowal	0.0459103
launching	0.045824
interruption	0.045546
))
(Cessna (desc 2136.74) (sims
"Cessna @@@"	0.461122
turboprop	0.318749
"Airbus @@@"	0.278002
Learjet	0.211363
biplane	0.176148
Il-@@	0.172738
C-@@@	0.169294
DC-@@	0.164088
MiG-@@	0.158875
AN-@@	0.157061
"Airbus A@@@"	0.152348
DC-@	0.142467
C-@@	0.140645
MD-@@	0.139995
"China Airlines"	0.138276
Prowler	0.131716
A-@@@	0.13141
A@@@-@@@	0.12992
"Stage @"	0.128602
"Air France Concorde"	0.126588
P-@	0.122329
USAir	0.122135
widebody	0.121932
TU-@@@	0.119166
osprey	0.117583
F-@@	0.117413
"jet plane"	0.116907
A@@@	0.114619
T-@@	0.112655
MD	0.111919
"Gulf Air"	0.111247
glider	0.111014
Concorde	0.108143
"Indian Air Force"	0.104857
piper	0.104162
"Ethiopian Airlines"	0.102432
AWACS	0.102009
EgyptAir	0.100869
chopper	0.0993885
jetliner	0.0992238
Mig	0.0959765
A-@	0.0956484
Hercules	0.0954656
C-@@@J	0.0940309
Apache	0.0925192
two-seater	0.0923621
SU-@@	0.0916934
kamikaze	0.0909531
"EgyptAir Flight @@@"	0.0906116
F-@	0.0901848
blimp	0.0899611
"Kenya Airways"	0.0899486
"Flight @@@@"	0.0891436
B-@@	0.0884683
Orion	0.0883633
"Royal Air Force"	0.0882067
F-@@s	0.0874799
Harrier	0.0869284
"Korean Air"	0.0858718
"electronic warfare"	0.0858113
F-@@@	0.0843743
airliner	0.0830989
Embraer	0.0823607
stealth	0.0816719
Airbus	0.0812988
"Flight @@@"	0.0806371
propeller	0.0803498
"hot-air balloon"	0.0802658
thunderbolt	0.0798536
"blue angel"	0.07863
"Turkish Airlines"	0.0784957
"Indian Airlines"	0.0781324
tanker	0.0773551
RAF	0.0769582
ValuJet	0.07684
JAT	0.0767837
tugboat	0.0763217
"South African Airways"	0.0760499
"Alaska Airlines Flight @@@"	0.0757795
jeepney	0.0751082
X-@@	0.0745367
A-@@	0.0738831
Emery	0.0732318
hatchback	0.0726658
motorboat	0.072409
"Thai Airways"	0.0723177
"Eastern Airlines"	0.0717149
"Pan Am"	0.0714372
"U.S. Air Force"	0.0712069
airforce	0.0710195
IAF	0.0707947
"tractor trailer"	0.0707088
turbo	0.0700071
"cabin cruiser"	0.0699234
"Air India"	0.0697709
warthog	0.0697312
Zeb	0.0690452
tomcat	0.0682596
C-@	0.0678765
minibus	0.0674957
"Ford Explorer"	0.0674266
reconnaissance	0.0674094
drone	0.0668977
"American plane"	0.0662629
TWA	0.0660672
"Cathay Pacific Airways"	0.065763
spotter	0.0651118
"American Airlines"	0.0648331
Mini-bus	0.0645372
"America West Airlines"	0.0644876
"Swissair Flight @@@"	0.0641123
freighter	0.0641036
"compact car"	0.0640457
B-@	0.0639671
"Air France"	0.0637095
interceptor	0.0636423
Garuda	0.0633237
Swissair	0.0632302
"Alaska Airlines"	0.0629442
Sabena	0.0629061
"oil tanker"	0.0628477
submersible	0.0627937
"ground attack"	0.0617737
planeload	0.0615506
"Philippine Airlines"	0.0615246
JetBlue	0.0611308
"United Airlines"	0.0606277
Concordes	0.0604019
"Marine Corps"	0.0603002
MiGs	0.0599782
fumigation	0.0595326
"Air Canada"	0.0589869
"Mercedes Benz"	0.0587618
"Northwest Airlines"	0.0587051
Lear	0.0586805
"up to seven"	0.0585269
duster	0.0583065
coast-to-coast	0.0582043
Ducati	0.0581887
Comair	0.0576341
"El Al"	0.0576048
Bae	0.0574903
"TWA Flight @@@"	0.057184
Airlines	0.0565347
Apaches	0.0564532
parachutist	0.0561074
"rubber band"	0.0560174
lawnmower	0.0558805
Imperatori	0.0555995
Voyager	0.0552913
"U.S. Coast Guard"	0.0552296
AIRTRAN	0.0550517
Thunderbird	0.0549725
"commuter train"	0.0549657
"Virgin Atlantic"	0.0547291
MiG-@@s	0.0544931
"space capsule"	0.0544281
double-decker	0.0543893
riverboat	0.0542678
"America West"	0.0540085
sleigh	0.0539985
"first @@@"	0.0538316
"Ford Taurus"	0.0537355
"Reno Air"	0.0536791
Fedex	0.0536276
"Another two"	0.0534362
"Airbus Industrie"	0.0531091
"car door"	0.052937
"McDonnell Douglas"	0.052431
"up to six"	0.0523923
"Another @@@"	0.0517879
"domestic flight"	0.0515995
powerboat	0.0515952
Mercedes	0.0512772
"freight train"	0.0511131
"American eagle"	0.0508663
"combat mission"	0.0507655
Mustang	0.0505083
Winnebago	0.0503905
non-American	0.0503689
snowplow	0.0498511
midair	0.0496599
"passenger train"	0.0496418
"express train"	0.0496033
K-@	0.0494968
catamaran	0.0494693
sled	0.0494376
F@@	0.0492286
warplane	0.049119
"roughly @@@"	0.0488568
"Delta Air Lines"	0.0488036
"Ford Expedition"	0.0486416
crewmembers	0.0486154
"Continental Airlines"	0.0485006
"Lincoln Town Car"	0.0484847
Iberia	0.0483953
Alitalia	0.047774
gunship	0.0476881
A@XX	0.0474132
"Japan Airlines"	0.04722
))
("Cessna @@@" (desc 1652.42) (sims
Cessna	0.461122
turboprop	0.368054
"Airbus @@@"	0.306105
DC-@	0.215924
"Airbus A@@@"	0.210246
Learjet	0.196089
A-@@@	0.194447
Il-@@	0.191887
AN-@@	0.179979
MiG-@@	0.176582
C-@@	0.172968
MD-@@	0.168068
TU-@@@	0.167856
C-@@@	0.166263
biplane	0.154271
A@@@	0.145978
P-@	0.142515
A@@@-@@@	0.141794
DC-@@	0.140417
"Stage @"	0.135932
"Air France Concorde"	0.131716
Prowler	0.130777
"jet plane"	0.12803
widebody	0.127914
F-@@	0.127743
two-seater	0.127026
piper	0.12674
Hercules	0.125398
Mini-bus	0.124721
Concorde	0.122839
osprey	0.119922
"EgyptAir Flight @@@"	0.114978
USAir	0.114038
SU-@@	0.11051
"Flight @@@@"	0.108239
Harrier	0.10805
AWACS	0.10673
T-@@	0.103708
"Gulf Air"	0.101592
MD	0.101471
B-@@	0.100122
Concordes	0.0996811
"Flight @@@"	0.095977
chopper	0.092145
"China Airlines"	0.0916397
jetliner	0.0906093
A@XX	0.0903992
C-@	0.0900217
glider	0.0896579
ValuJet	0.089251
"Ethiopian Airlines"	0.0890958
"TWA Flight @@@"	0.0872489
EgyptAir	0.0857231
JAT	0.0828543
blimp	0.0818247
F-@	0.0813387
MiG-@@s	0.0812298
"electronic warfare"	0.081025
airliner	0.0795254
C-@@@J	0.0792716
"space capsule"	0.0790288
"Swissair Flight @@@"	0.078793
X-@@	0.077949
drone	0.0772849
warplane	0.0770474
Mig	0.0767747
F-@@s	0.0765511
Apache	0.0764249
Orion	0.076257
F-@@@	0.0756833
motorboat	0.0739105
"Indian Airlines"	0.0722855
Sabena	0.0721665
"Indian Air Force"	0.0721241
"Delta @"	0.072047
minibus	0.0716056
"tractor trailer"	0.0707179
"hot-air balloon"	0.0706821
"Alaska Airlines Flight @@@"	0.0701906
"cabin cruiser"	0.0696277
A-@@	0.0693978
warthog	0.0692642
stealth	0.0692535
"Pan Am"	0.0690428
"Korean Air"	0.0688668
Airbus	0.0684196
crematorium	0.0683343
thunderbolt	0.0683001
"domestic flight"	0.0681967
fumigation	0.0675588
airforce	0.0670473
"first @@@"	0.066459
co-pilot	0.0661703
kamikaze	0.0659098
"American plane"	0.0652375
"blue angel"	0.0646601
Iglesias	0.0643388
B-@	0.0642051
tanker	0.0641629
Emery	0.0641511
RAF	0.0639031
tomcat	0.0636364
"Mars Climate Orbiter"	0.0635878
Lear	0.0634298
Apaches	0.0628176
"Turkish Airlines"	0.0627928
"Eastern Airlines"	0.0626783
"ground attack"	0.0626279
spotter	0.0624411
"Thai Airways"	0.0620499
Bae	0.0618724
planeload	0.0617852
"Yankee Clipper"	0.0615294
"Royal Air Force"	0.0612339
double-decker	0.0612276
IAF	0.06092
propeller	0.0608648
V-@@	0.0602645
duster	0.0599022
reconnaissance	0.0596241
Embraer	0.0594872
lorry	0.0593026
otter	0.0589167
"Another @@@"	0.0583568
gunship	0.0582746
"Three hundred"	0.057972
"Alaska Airlines"	0.057828
"Kenya Airways"	0.0576808
speedboat	0.057235
illegals	0.0571233
"U.S. Air Force"	0.0570206
interceptor	0.056784
freighter	0.056729
McDonnell	0.0566931
"express train"	0.0565282
B-@s	0.0563052
"Air India"	0.0561573
Imperatori	0.0559823
TWA	0.0559667
tugboat	0.0559581
"JFK Jr."	0.0558186
"roughly @@@"	0.0557605
"Mars Polar Lander"	0.0551293
catamaran	0.0550002
"commuter train"	0.0548707
Kazakh	0.0546994
hatchback	0.0546107
JetBlue	0.0542763
Hindenburg	0.0542059
"Virgin Atlantic"	0.0541492
sled	0.053887
Ochoa	0.053694
Voyager	0.0535361
"American eagle"	0.0533889
"mechanical device"	0.0532465
semitrailer	0.0530005
"another three"	0.0529821
"South African Airways"	0.0526081
"passenger train"	0.0521972
"four to five"	0.0519888
"Vietnam Airlines"	0.0517118
Airlines	0.051657
Cassini	0.0515756
tractor-trailers	0.0514407
Vidro	0.0513905
F@@	0.0513558
"up to six"	0.0512851
"space probe"	0.0512827
Fossett	0.0511864
Swissair	0.0509806
jeepney	0.0506539
"beam of light"	0.0504949
Iberia	0.0504425
twenty-eight	0.0503439
spaceship	0.0497258
"Jeep Cherokee"	0.0496029
Saint-Exupery	0.0492839
Uliassi	0.0488158
tilde	0.0486277
nomad	0.0483841
Comair	0.0483463
Atlantis	0.0483013
"other seven"	0.048126
motorcyclist	0.0479837
Boardman	0.0479504
KLM	0.0478867
"Ford Expedition"	0.0478372
hearse	0.0478147
dinghy	0.047768
"life vest"	0.0475886
"El Al"	0.0473329
"Fox Network"	0.0471719
Kurd	0.0471015
"oil tanker"	0.0470324
"Predrag Mijatovic"	0.0468059
"Another two"	0.046776
"Ford Explorer"	0.0467346
"America West"	0.046535
"No. @@@@"	0.0464587
"foster mother"	0.0462394
))
(cesspool (desc 1532.77) (sims
nonentity	0.0717032
lovefest	0.0634431
TINDERBOX	0.0602446
"septic tank"	0.0584139
"treasure chest"	0.0569808
"powder keg"	0.0545162
chimera	0.0544956
"Bora Milutinovic"	0.0536862
Triptych	0.0534557
"guessing game"	0.0527023
free-for-all	0.0518226
manhole	0.0506808
sinkhole	0.0501374
stench	0.0490375
gob	0.0481585
"numbers game"	0.0472812
paroxysm	0.046391
"white person"	0.0452215
"garbage dump"	0.0451848
avocation	0.0451373
"punching bag"	0.0451165
skein	0.0449618
bedfellow	0.0447332
"storm cloud"	0.044448
avatar	0.0440243
"cash cow"	0.0439932
dustbin	0.0438293
perpetuation	0.043795
pervasiveness	0.0434958
"mushroom cloud"	0.0434184
cauldron	0.0434021
subculture	0.0432685
cudgel	0.0425179
policing	0.0424621
"Hail Mary"	0.042166
"time bomb"	0.0420239
Americanized	0.041552
"ghost town"	0.0411191
"over @@ million tons"	0.0410652
punchline	0.0408886
"sewer line"	0.0408848
stepsister	0.0402732
"hole in the ground"	0.0401433
))
(Ceyhan (desc 5211.66) (sims
Antalya	0.133638
Matadi	0.131854
Kalemie	0.127355
Izmit	0.12164
Izmir	0.120392
Golcuk	0.118737
Tapachula	0.0943612
Kisumu	0.0937638
Kismayu	0.0934388
Ashkelon	0.0890029
Merca	0.0880456
Durres	0.0858708
Kandy	0.0827255
Limassol	0.0821632
Manado	0.0780387
Ensenada	0.0771343
Beira	0.0761444
Lhokseumawe	0.0758131
Diyarbakir	0.0740087
Murmansk	0.0732976
Trincomalee	0.0719123
Makhachkala	0.070437
Guayaquil	0.0704331
Juba	0.0704169
Mombasa	0.0695177
Adana	0.0692723
Sihanoukville	0.0683141
Aqaba	0.068287
Haifa	0.0674009
Gudermes	0.0669501
Multan	0.0668935
Trieste	0.064458
Larnaca	0.0643706
Sidon	0.0643341
Sochi	0.0642417
Marjayoun	0.0641452
Warri	0.0641097
Batticaloa	0.063762
Beersheba	0.063574
Tachilek	0.0633955
Bengkulu	0.062866
Toulon	0.0625049
Assab	0.0624503
Mankulam	0.0623506
Cacak	0.0620546
Kailahun	0.0608554
Salonica	0.0607799
Moshi	0.060454
Novosibirsk	0.0599517
Pailin	0.0595329
Bushehr	0.0594754
Bukavu	0.0592998
Macoris	0.0591898
"Port Said"	0.059118
Odessa	0.0587056
Baalbek	0.0584474
Istanbul	0.0578627
Jinja	0.0576289
"Diamond Mountain"	0.0576269
Piraeus	0.0576209
Gdansk	0.0575402
"Imrali Island"	0.0573638
Dubrovnik	0.0564719
Vlore	0.0548566
Uvira	0.0548408
Kijevo	0.0548236
Ismailia	0.0546509
Posoltega	0.0542523
Alexandria	0.0541707
Chittagong	0.0541498
Kraljevo	0.0533483
Kismaio	0.0530346
Malaga	0.0529549
Acapulco	0.0525523
Basra	0.052535
Talipao	0.0524382
"San Cristobal"	0.0523104
Kizlyar	0.0514314
Kigoma	0.0513506
Jeddah	0.0512825
Leskovac	0.0508995
Baidoa	0.0506127
Rafah	0.0506028
"Banja Luka"	0.0505967
Limon	0.0501877
"Mount Pleasant"	0.0501589
Besiktas	0.0496994
Mbarara	0.0493536
Fenerbahce	0.0491087
Gulu	0.0489766
Aswan	0.0489585
Nakuru	0.0489563
Saida	0.0489096
Calais	0.0488494
Nago	0.0487686
Pusan	0.0486533
Gisenyi	0.0486005
Salonika	0.0483326
Makeni	0.0482881
Nabatiyeh	0.0482778
Jayapura	0.0482774
Inchon	0.0480011
Chamonix	0.0479004
Veracruz	0.0478522
Karachi	0.0477519
Kindu	0.0476806
Galle	0.0476532
Eilat	0.0476301
Kuito	0.0476181
Jenin	0.0476092
Cartagena	0.0475589
NIS	0.047547
Argun	0.0474311
Mazar-e-Sharif	0.0473933
Arua	0.0473035
Jalalabad	0.0471317
Urosevac	0.0470582
Valparaiso	0.0469355
Najaf	0.0466129
Omagh	0.0465811
Tigris	0.0465395
Catania	0.0463038
Tuzla	0.0462073
Khulna	0.0458984
Nazareth	0.0458186
Baku	0.045691
Haicheng	0.045668
Qinhuangdao	0.0455377
Suez	0.04544
Khost	0.0453768
Kisangani	0.0453294
Incirlik	0.0452971
Decani	0.0452266
Bangalore	0.0451925
Kupang	0.0451709
"San Pedro Sula"	0.0451597
Jericho	0.0447751
"Santo Domingo"	0.0447099
"Del Rio"	0.0445992
Ur	0.0445665
Vitoria	0.0445096
Lucknow	0.0444039
"Siem Reap"	0.0443348
Baotou	0.0443347
"Delta State"	0.0442455
Rostock	0.0440693
"Surat Thani"	0.0440305
Kaohsiung	0.0440264
Kilinochchi	0.0440079
Dundalk	0.0439946
Livingstone	0.04354
"Port Elizabeth"	0.0434365
Aachen	0.0433717
Sevastopol	0.0431736
Zhangzhou	0.0430892
Tyre	0.042945
Huaihe	0.0428442
Shali	0.0427267
PATNA	0.0425845
Walkerton	0.0423235
"San Lorenzo"	0.042281
Kenema	0.042271
Nenjiang	0.0421802
Dili	0.0420522
Cebu	0.0420241
"Lower Saxony"	0.0418893
Taloqan	0.0418826
Durban	0.0418123
"Black Sea"	0.0417742
Sirte	0.0417641
Andulo	0.0415667
Cavalese	0.0414085
Kragujevac	0.0412785
Goteborg	0.0412298
Valdez	0.0412213
Hyderabad	0.0412091
Baoding	0.0411985
Ruhengeri	0.041187
Lubumbashi	0.041108
Tripoli	0.0410972
Bailundo	0.0409913
Quetta	0.0409728
Lijiang	0.0409663
airbase	0.040912
Tabriz	0.040843
Lianyungang	0.0407999
Euphrates	0.0407142
Yekaterinburg	0.0407062
Goma	0.0405776
Luxor	0.0405396
Puebla	0.0405178
Salvador	0.0404168
Christchurch	0.040408
Phuket	0.0403744
Ipswich	0.0403301
Zhangjiagang	0.040229
Wenzhou	0.0401167
))
(Cezanne (desc 6621.05) (sims
Gauguin	0.364789
Renoir	0.353655
Monet	0.325303
Matisse	0.318619
Manet	0.318193
Degas	0.309794
Modigliani	0.27307
Gogh	0.272996
Chagall	0.249732
Picasso	0.24532
"van Gogh"	0.21231
Bonnard	0.202887
Mondrian	0.180342
miro	0.177885
Rembrandt	0.172138
Kandinsky	0.169662
Klee	0.131622
Ingres	0.13145
Rothko	0.127774
Leger	0.11944
Giacometti	0.118022
Goya	0.112111
Delacroix	0.108001
"Norman Rockwell"	0.103273
"Vincent van Gogh"	0.102489
"Jasper Johns"	0.100859
Dali	0.0974459
"Jackson Pollock"	0.0946654
Rodin	0.094612
Warhol	0.0892979
Heade	0.0892102
Pollock	0.0891375
Vermeer	0.0873788
Titian	0.0831305
Sargent	0.080953
O'Keeffe	0.0807914
Wyeth	0.0764817
Picassos	0.0757238
Velazquez	0.0712848
Duchamp	0.0703108
Kooning	0.0698397
Calder	0.0632016
"Blue Dog"	0.0630064
"Salvador Dali"	0.0628801
Impressionist	0.0622457
Flemish	0.0612788
"Chris Ofili"	0.060327
Impressionism	0.0583445
"Andy Warhol"	0.0576024
"Van Dyck"	0.0563794
millet	0.0546196
Ofili	0.0527709
"Man Ray"	0.0527352
"Pablo Picasso"	0.0515149
"still life"	0.050503
"Claude Monet"	0.0502543
Rubens	0.0498438
Hartley	0.0496666
"El Greco"	0.0478971
Michelangelo	0.0472645
"Georgia O'Keeffe"	0.0469583
"Robert Rauschenberg"	0.0466975
audubon	0.0447094
calligrapher	0.0424445
watercolor	0.0423254
"picture postcard"	0.0422765
Chardin	0.0420493
Whistler	0.041663
Freud	0.0402159
))
(CF (desc 1475.33) (sims
"guardian angel"	0.0580226
VMs	0.0539502
ADHD	0.0532227
"won-lost record"	0.0522263
IC	0.051327
p@@	0.049202
als	0.048012
"cystic fibrosis"	0.0474493
Maxi	0.04663
apnea	0.0463197
LASIK	0.0462374
Bhutanese	0.0462329
ippon	0.0451562
"American plane"	0.0448039
melanoma	0.0444138
"Agenda @@@@"	0.0442051
STD	0.0434052
BCE	0.0433663
"Type @"	0.0433536
narcolepsy	0.0433077
Chemo	0.0430938
multitasking	0.0429634
CNTA	0.0425292
GEF	0.042312
"wind tunnel"	0.0419465
myeloma	0.0413676
"right whale"	0.0413338
mammogram	0.0411268
TPA	0.040833
Rabies	0.0406614
centenarian	0.0405401
"No. @s"	0.0403592
facelift	0.0400648
))
(CFA (desc 1068.71) (sims
CPAFFC	0.172377
"Court of Final Appeal"	0.166542
CNPC	0.146846
ACWF	0.1293
OCA	0.125742
CNOOC	0.125674
"Court of Appeal"	0.118366
CCF	0.112594
CMA	0.109672
"Australian Olympic Committee"	0.106576
HKFA	0.106138
"Lahore High Court"	0.105998
ZCTU	0.105799
ARATS	0.103946
"Allied Pilots Association"	0.103147
"Chinese Olympic Committee"	0.103142
CCPIT	0.102318
CASS	0.100773
"Supreme Judicial Court"	0.0961039
CNTA	0.0958303
"Asian Football Confederation"	0.0950606
CITIC	0.0937788
"Handgun Control"	0.0930773
"EU Commission"	0.0916494
CCA	0.0906969
CEC	0.0903616
"International Skating Union"	0.0902986
UCI	0.0899714
Qinghua	0.0890166
CAF	0.0884353
"CBS Sports"	0.0883748
CIRC	0.088209
"American Association of Health Plans"	0.0876373
UMNO	0.087319
"Texas Supreme Court"	0.0865538
ICBC	0.0865463
"Ford Motor Company"	0.0859442
"Health and Welfare Ministry"	0.0859076
"National Audubon Society"	0.0852009
"Association of Flight Attendants"	0.0848686
"U.S. Soccer Federation"	0.0848431
SPC	0.0842684
"Constitutional Court"	0.0837597
ITTF	0.0835913
"Andean Group"	0.0816315
CWA	0.0814651
NARAL	0.0811159
SCLC	0.0804839
Lamberth	0.0798686
USGA	0.0797356
FIVB	0.0790767
"Olympic Council of Asia"	0.0786795
BSA	0.0786099
"International Badminton Federation"	0.0782764
"National Council of La Raza"	0.0779051
"Association for Relations Across"	0.077418
BOC	0.0769753
"Board of Elections"	0.075941
CCB	0.0749412
"National Association of Manufacturers"	0.0745967
CAS	0.0744071
ACFTU	0.0743806
IAI	0.0742272
Bundestag	0.0741736
"All-China Journalists Association"	0.074173
"International Cycling Union"	0.0726191
"U.S. Golf Association"	0.0725149
"Turner Sports"	0.0724567
"International Brotherhood"	0.0723245
"Medical Society"	0.0721701
EC	0.0716944
"Benevolent Association"	0.0716645
"Handgun Control Inc."	0.0715228
"National Trust"	0.0714989
"Con Edison"	0.0714915
"Federal Reserve Bank of New York"	0.0709475
IMG	0.0706835
"Israeli Foreign Ministry"	0.070095
"Pacific Exchange"	0.0699847
SFA	0.0696533
"Kim Jong-pil"	0.0694395
"U.S. Chamber of Commerce"	0.069373
UNP	0.0690043
"Iranian Foreign Ministry"	0.0689181
SDPC	0.0685899
Kiribati	0.0684335
"National Court"	0.0683869
MSF	0.0682569
"Humane Society"	0.0682359
"Party School"	0.0681633
SPDC	0.068139
Laban	0.0677419
Eximbank	0.0675353
"Wine Institute"	0.0673212
"National Gambling Impact Study Commission"	0.0672612
IAAF	0.0672036
"International Amateur Athletics Federation"	0.0672022
COSCO	0.0665406
"Thai Farmers Bank"	0.0662095
"Association for Friendship"	0.0661785
"state supreme court"	0.0659988
"Circuit Court"	0.0659895
"ethics committee"	0.0659772
"International Ski Federation"	0.0658131
CAA	0.0656965
"Industry Ministry"	0.065368
BSF	0.0652668
CSE	0.065023
EBRD	0.0649067
"Labor office"	0.0647892
"United Malays National Organization"	0.064785
ENTREMED	0.0647623
"United Auto Workers"	0.0646734
ISU	0.0644667
"Legend Group"	0.0644443
PICC	0.0642
"Organizing Committee"	0.0637931
"Electoral Commission"	0.0637092
"International Association of Machinists"	0.0635495
"Columbia Pictures"	0.0631275
SDB	0.063036
"International Amateur Athletic Federation"	0.0629077
"NBC News"	0.0626808
"USA Basketball"	0.0625939
"Constitutional Assembly"	0.062585
BNFL	0.0624478
"International Tennis Federation"	0.0623094
"Supreme People"	0.0622239
"criminal court"	0.0618218
Belarusian	0.0615547
CPP	0.0615207
"China Council"	0.0614781
SOCOG	0.061449
"U.S. Olympic Committee"	0.0614355
"Red Cross Society"	0.061179
CFTC	0.0611574
"Freedom Forum"	0.0608449
CONCACAF	0.0606679
"National Urban League"	0.0606571
IMS	0.0606342
"Council of State"	0.0605521
KPA	0.0605213
"National Abortion and Reproductive Rights Action League"	0.0600559
ZDTV	0.05995
"Defense Agency"	0.0594281
UAW	0.0594249
COSATU	0.0593055
PSE	0.0591557
"Human Rights Commission"	0.0591304
"machinists union"	0.0591085
USOC	0.0590875
"China Society"	0.059028
"executive agency"	0.0588875
"Federal Assembly"	0.05862
ACP	0.058492
"European Court of Human Rights"	0.058443
HCFA	0.0584144
"National Association of Broadcasters"	0.0584089
"Culture Ministry"	0.0583707
ECB	0.0582852
"World Court"	0.0582557
Bundesbank	0.0581515
"U.S. Supreme Court"	0.0581239
"Dow Jones &AMP; Co."	0.0580586
MII	0.0580403
AFA	0.0579632
"Air Line Pilots Association"	0.0579123
PBSI	0.0578942
CBI	0.0578788
"Business Council"	0.0578682
"Local @@"	0.0576911
"All-China Youth Federation"	0.0576807
"King Letsie III"	0.0575771
"trial court"	0.0575666
INEC	0.0575479
"Andean Community"	0.057403
"International Criminal Tribunal for Rwanda"	0.0571392
"International Society"	0.0570067
Celera	0.0569982
"National Council"	0.056955
"Southeastern Legal Foundation"	0.056555
Yukos	0.0565423
"Russian Defense Ministry"	0.0564864
"Board of Supervisors"	0.0564693
UFW	0.0563068
Lockyer	0.0562631
"International Rescue Committee"	0.0561984
IAF	0.0560949
"World Meteorological Organization"	0.0559253
"U.S. Administration"	0.0555995
"Cambodian People's Party"	0.0554552
"Visa International"	0.0550948
"Public Security Ministry"	0.0550584
"United Way"	0.0550128
AmCham	0.0549467
"NFL Players Association"	0.0548068
"Warsaw Pact"	0.0547982
zloty	0.0547614
UNIP	0.0546961
ALZA	0.0545994
))
(CFCs (desc 980.479) (sims
"methyl bromide"	0.253044
OD	0.198807
"hard drug"	0.127941
MTBE	0.117751
DDT	0.116161
"growth hormone"	0.115042
additive	0.110185
pesticide	0.10846
"freshwater fish"	0.105932
capsaicin	0.104837
"poison gas"	0.104099
"estate tax"	0.103194
olestra	0.102702
"inheritance tax"	0.0975364
narcotic	0.0943965
defoliant	0.094384
melatonin	0.0939311
"morse code"	0.09279
using	0.092195
andro	0.0919775
"coal gas"	0.0911446
refrigerant	0.0890198
amphetamine	0.0886967
"fossil fuel"	0.0883165
"pig iron"	0.0876302
ozone	0.086881
androstenedione	0.086588
"folic acid"	0.086421
"human growth hormone"	0.0853647
"fatty acid"	0.0852794
trachoma	0.0850073
GHB	0.0847949
fungicide	0.0847008
Sarin	0.084177
methanol	0.0841323
microorganism	0.084072
"nuclear energy"	0.0839525
"opium poppy"	0.0832149
"atomic energy"	0.0827546
"liquefied petroleum gas"	0.0826387
"chemical compound"	0.0825394
"proportional representation"	0.0823546
plutonium	0.0815903
"sparkling wine"	0.0811237
uranium	0.0807392
spindle	0.080297
munition	0.0797303
pronoun	0.0791996
aquatics	0.0789871
"dairy product"	0.0787153
asbestos	0.0786938
tremolite	0.0783142
"chemical agent"	0.0779964
"electrical device"	0.0778818
"electric chair"	0.0774143
briquette	0.0773456
LNG	0.0772353
cortisone	0.0769332
coca	0.0768727
"blood sugar"	0.0767195
leprosy	0.0761902
bitumen	0.0759694
clear-cutting	0.0756963
detergent	0.0751693
telomerase	0.0747996
methamphetamine	0.0746609
IDD	0.074158
snowmobile	0.0741543
isotope	0.0740576
"palm oil"	0.0738012
"air bubble"	0.0735437
testosterone	0.0734087
sedative	0.0733399
lycopene	0.0733107
landmines	0.073297
"True West"	0.0730854
"citric acid"	0.0730282
"bank note"	0.0730156
stimulant	0.0726498
talc	0.0726185
"Ginkgo biloba"	0.0723953
"corporal punishment"	0.0723507
preservative	0.0721713
Erythropoietin	0.0717461
sectarianism	0.0717124
"Lincoln Center Theater"	0.0716669
LSD	0.0712521
Godot	0.071116
neurotransmitter	0.0709623
ephedrine	0.0706243
interferon	0.0703341
"four million tons"	0.0703256
fluoride	0.0703041
"automated teller machine"	0.0699384
newsprint	0.0698362
impurity	0.0698044
"durable goods"	0.0697435
"quota system"	0.0695179
"sign language"	0.0692521
antioxidant	0.068848
"death tax"	0.068738
T-cells	0.0686422
surtax	0.0683484
ethanol	0.0682977
carotene	0.0682556
polymer	0.0682153
"ultraviolet light"	0.0680806
poliomyelitis	0.0680142
enhancers	0.0679872
polyethylene	0.0678111
glucose	0.0674592
hemoglobin	0.0674275
sweetener	0.0673829
"more than @@ million tons"	0.0673385
"polyvinyl chloride"	0.0672711
"consumer durables"	0.0672601
"animal fat"	0.0671283
"alcoholic beverage"	0.0668466
"caustic soda"	0.0667869
biogas	0.0666992
"vitamin D"	0.0666232
watercraft	0.0666232
contraceptive	0.066406
"Beauty Queen"	0.0662861
hGH	0.0662585
EPO	0.0659802
"solar cell"	0.0658995
"trade barrier"	0.0649332
ethylene	0.064823
tritium	0.0642479
"catalytic converter"	0.063609
cyanide	0.0634184
"Jet Skis"	0.0632924
solvent	0.0631678
"wind power"	0.0631312
"Lincoln Bedroom"	0.0631245
hydrocarbon	0.0629216
benzene	0.0622846
"Peony Pavilion"	0.0621919
RU-@@@	0.0619641
malathion	0.0619573
creatine	0.0617148
"Smoke Signals"	0.0616962
toxin	0.0616529
ingot	0.0616422
chloride	0.0615891
"reserve fund"	0.0615658
urea	0.0613284
"nerve gas"	0.0612717
placebo	0.0611917
biomass	0.0607436
petrochemical	0.060711
"food grain"	0.0605478
"eminent domain"	0.0604171
"nitric oxide"	0.0603768
"household appliance"	0.0603576
"tax shelter"	0.0603356
"cane sugar"	0.059863
Zyvox	0.059529
cockfighting	0.0592106
"essential oil"	0.0590729
"solar energy"	0.0590409
"price support"	0.0589867
rinderpest	0.0587594
collagen	0.058742
insecticide	0.0586953
allergen	0.05838
EPZ	0.0582681
barter	0.0582669
thalidomide	0.0581949
Sulphur	0.058155
dopamine	0.0580658
phosphate	0.0579996
"weapons system"	0.0578104
aquiculture	0.057657
"excise tax"	0.0575716
resin	0.0574896
MSG	0.0571867
"wage scale"	0.0570371
illiteracy	0.0567638
"high explosive"	0.0566322
hydrogen	0.0566103
webcams	0.0565758
"drilling rig"	0.0563231
"wheat flour"	0.0561991
penicillin	0.0561648
dioxide	0.0561017
"razor blade"	0.0557759
"fox hunting"	0.0555812
potty	0.0555373
POTASH	0.0554227
vermiculite	0.0553475
"Iceman Cometh"	0.0553258
"tooth decay"	0.0552873
"vitamin C"	0.0552174
minibuses	0.0551985
caffeine	0.0549939
"Streetcar Named Desire"	0.0549062
"three pitchers"	0.0548221
"Human Immunodeficiency Virus"	0.0547089
))
(CFO (desc 4690.1) (sims
"chief financial officer"	0.1208
coo	0.115144
CEO	0.100614
"chief operating officer"	0.0980227
"postmaster general"	0.0935421
"chairman of the board"	0.0888916
Bhattarai	0.0787682
"top executive"	0.0769456
"financial officer"	0.0715787
"chief executive officer"	0.0707768
editor-in-chief	0.0706987
"senior vice president"	0.0675916
"general counsel"	0.0666103
Bubb	0.0652166
"senior executive"	0.0645687
"chief administrative officer"	0.0635351
"June Jones"	0.0620724
treasurer	0.0618299
"executive vice president"	0.0614749
cofounder	0.0612194
"board member"	0.0608975
"Michel Platini"	0.0599504
Yadav	0.0592199
stockbroker	0.0589308
Postmaster	0.0586363
Ribbeck	0.0579801
"solicitor general"	0.0571624
"Sandy Alderson"	0.0570149
"managing director"	0.056912
"top dog"	0.0565001
Magaziner	0.0563781
accountant	0.0560816
minster	0.0559177
"Minister Shlomo Ben-Ami"	0.0555508
Talebi	0.0552149
CEC	0.0551203
Luca	0.0541792
"vice chairman"	0.0540068
"executive secretary"	0.0539336
copywriter	0.05378
"Mikhail Kasyanov"	0.0535387
Provost	0.0530847
PDVSA	0.0524028
part-owner	0.0519921
"Bill Lann Lee"	0.0517911
"art director"	0.0514006
"bond trader"	0.0506394
"Jim Harrick"	0.0506237
"department head"	0.0505603
gatekeeper	0.0505571
Stoneman	0.0501734
chairwoman	0.050024
Catacosinos	0.0498594
superintendent	0.0497917
"important person"	0.0496691
AOC	0.049352
"medical officer"	0.0488417
Registrar	0.0486794
co-president	0.0485133
SOCOG	0.0483722
"Allied Pilots Association"	0.0483215
dean	0.0483022
UEFA	0.0482781
"music director"	0.0480771
"math teacher"	0.047857
"executive officer"	0.047763
"Krishna Prasad Bhattarai"	0.0476812
Gottlieb	0.0475728
UCI	0.0474747
"Sergei Stepashin"	0.0472475
"reference point"	0.0470583
"U.S. Soccer Federation"	0.0470154
"Sepp Blatter"	0.0468845
"Dave Cowens"	0.0465073
"Jim Leyland"	0.0464064
paralegal	0.0463814
"Tim Fischer"	0.0463034
"literary agent"	0.0462249
"information officer"	0.0461682
pastor	0.0461624
controller	0.0460765
co-chairmen	0.0460281
"director of research"	0.0460043
Schottenheimer	0.0458415
acquirer	0.045734
"Eric Holder"	0.0456998
saleswoman	0.045659
Imperatori	0.0456316
receptionist	0.0456315
trainee	0.0453227
Rendell	0.0452514
"job cut"	0.0452279
"Bora Milutinovic"	0.0452207
"Carmen Policy"	0.045219
Bogle	0.045122
"fall guy"	0.0450835
Vogts	0.0450149
"board of directors"	0.0448787
Pasha	0.0446428
caregiver	0.0446021
lifeguard	0.0445825
caddie	0.0445384
"Yuri Maslyukov"	0.0444103
McMullen	0.0443811
Shahak	0.0443668
WEF	0.0443536
salesperson	0.0443419
salespeople	0.0443044
temp	0.0442881
co	0.0442136
"commander in chief"	0.0442062
"David Sibandze"	0.0441325
proactive	0.0440862
"Home Ministry"	0.0440543
KPA	0.0440434
"radio announcer"	0.0440149
NCEC	0.0438959
"Bill Skate"	0.0438703
"managing editor"	0.043776
"Alain Juppe"	0.0437396
"vice chancellor"	0.0437344
"Tony Coelho"	0.0437292
"Rick Neuheisel"	0.0436697
"Eric Cantona"	0.0435933
"moving van"	0.043583
"foster mother"	0.043521
Blazevic	0.0434607
alderman	0.043404
"football coach"	0.0433719
Dobbs	0.0433579
"Lou Dobbs"	0.0431904
Coelho	0.0431785
USATF	0.0431613
"John Anderson"	0.0430745
sommelier	0.0430365
Sanan	0.0430309
AltaVista	0.0429984
"fire chief"	0.0429118
"EU Commission"	0.0428189
figurehead	0.0425965
knucklehead	0.0425809
Bavasi	0.0425763
Litigator	0.0425763
second-in-command	0.0423336
bookkeeper	0.0423207
"President Lee Teng-hui"	0.0421842
"Steve Ballmer"	0.0420772
"Tom Welch"	0.0420529
AGL	0.0419514
"Secretary of Defense"	0.0419407
"Treasury Secretary"	0.0419387
"inspector general"	0.0419113
"decision maker"	0.0419013
"right-hand man"	0.041806
VP	0.0417572
Espinosa	0.0416401
"Lamberto Dini"	0.0416347
Networks	0.0416168
chaplain	0.0415731
Programmer	0.0415457
AFC	0.041492
Laurie	0.0414731
BURNHAM	0.0414288
"Football Association"	0.0413926
"sales manager"	0.0413468
auditor	0.0412356
Haskins	0.041222
"government minister"	0.0411627
chairperson	0.0411621
apprentice	0.0411402
Beye	0.0411401
"stage manager"	0.041133
exec	0.0410769
"basketball coach"	0.0410742
Frenchmen	0.0409419
"union representative"	0.0408833
"Roy Romer"	0.0408786
Mukora	0.0408333
"Michael Dell"	0.0408137
ATC	0.0408062
"Michel Camdessus"	0.040793
"Jacques Santer"	0.0407817
autocrat	0.0407462
Verniero	0.0407147
attorney-General	0.040657
"Secretary- General"	0.0405728
Delphi	0.0405161
"big leaguer"	0.0404593
"ballet dancer"	0.0404468
Starwood	0.0403906
"surgeon general"	0.0403129
co-manager	0.0402385
RealPlayer	0.0402174
Hartsburg	0.0401902
Koirala	0.0401613
enumerators	0.0401395
Iger	0.0401347
"registered nurse"	0.0400744
"Kevin Keegan"	0.0400285
Masire	0.0400175
))
(CFTC (desc 1040.54) (sims
DOJ	0.185435
FTC	0.182768
EEOC	0.175041
ITC	0.148814
F.A	0.137953
SFA	0.13611
FSA	0.134746
SEC	0.130855
NLRB	0.129174
MPAA	0.128859
ISU	0.12796
FCC	0.125877
Maurizi	0.122871
CIRC	0.120051
PUC	0.119271
CAA	0.119205
HCFA	0.117995
Morgenthau	0.117655
SDPC	0.116854
ADL	0.115803
CSRC	0.115492
OSHA	0.114918
Icann	0.111918
NRC	0.111205
CSA	0.110662
KPU	0.109558
NHTSA	0.108072
Lucasfilm	0.107562
"Judicial Watch"	0.107405
CCA	0.107284
CPSC	0.107047
"Federal Trade Commission"	0.10649
CEC	0.106002
"EU Commission"	0.104575
Broaddrick	0.103565
CBK	0.103135
NASD	0.102777
"Federal Communications Commission"	0.101971
RIAA	0.10187
Postol	0.101842
Ruthardt	0.100979
OCA	0.100336
"U.S. Congress"	0.10013
"Israeli Foreign Ministry"	0.100051
Alioto	0.100001
FDA	0.0995019
Teresi	0.0993752
PBSI	0.0985118
"Clinton Administration"	0.0972162
Histadrut	0.0970831
CalPERS	0.0970086
ITF	0.0968279
"U.S. Fed"	0.0950692
"Industry Ministry"	0.0947253
"Nuclear Regulatory Commission"	0.0939226
"International Skating Union"	0.0938925
DEP	0.0934515
USATF	0.0923256
PCC	0.0922876
"British Foreign Office"	0.091843
"Israeli Cabinet"	0.0917544
EC	0.0917034
Garzon	0.0911052
"Anita Hill"	0.0908789
OIC	0.0906143
FEC	0.0905733
CBI	0.0905382
"Housing Authority"	0.0899982
SFC	0.0896925
EPA	0.0895921
AHP	0.0894546
NCI	0.0890945
CWA	0.0889546
FAA	0.0884655
"U.S. Golf Association"	0.0883526
Feerick	0.0878578
KPA	0.0876786
HKFA	0.0868377
UFW	0.0867564
Hynes	0.0864343
Cornyn	0.0862053
FOMC	0.0861034
SJC	0.0859317
AGL	0.085828
ACB	0.0852034
CMAG	0.0850566
Warnaco	0.0845847
PSC	0.0845499
DMV	0.0843619
"Health and Welfare Ministry"	0.0842348
"patent office"	0.0842093
E.U	0.0841388
MTA	0.0841061
DERSHOWITZ	0.0839745
Caldor	0.0832356
"Interior Department"	0.0831388
ATC	0.0828552
USDA	0.0828132
"US Supreme Court"	0.0821137
NTSB	0.0820327
"Defense Agency"	0.0818687
"planning commission"	0.0817903
"Transport Ministry"	0.0816333
RNC	0.0816186
NSC	0.0815304
ECB	0.0811305
"ethics committee"	0.0810865
Hodler	0.0810501
"Public Citizen"	0.0810275
INEC	0.0805914
"Israeli Army"	0.0804793
HHS	0.080329
BSA	0.0799298
"J&AMP;J"	0.0799241
BIA	0.0798755
DLC	0.0797579
AFA	0.079715
"Australian Olympic Committee"	0.0796839
TRC	0.0793403
"House GOP"	0.0791303
Korman	0.0785795
FA	0.0785344
PSE	0.0782443
IAI	0.0782118
Smaltz	0.0781337
"Central Bureau of Investigation"	0.077989
"Football Association"	0.077395
Providian	0.0771411
Chris-Craft	0.0766038
EOHR	0.0762076
"Food and Drug Administration"	0.0761609
"House Budget Committee"	0.0759296
"Joseph McCarthy"	0.0757632
"Public Service Commission"	0.0757396
Wada	0.0755596
"Department of Environmental Protection"	0.0754616
petitioner	0.0753752
WEF	0.0752217
"election commission"	0.0751701
"Public Security Ministry"	0.0749266
UTC	0.0748252
"Senate Banking Committee"	0.0746859
Kulikov	0.074506
NHRA	0.0744574
NCEC	0.0744472
"Truth Commission"	0.0743235
"Financial Supervisory Agency"	0.0743131
"Securities and Exchange Commission"	0.0743063
"Rules Committee"	0.0743044
INS	0.074163
"Equal Employment Opportunity Commission"	0.0739013
SPP	0.0738046
ACLU	0.0735763
PBC	0.0731989
ama	0.0731627
"Cox Report"	0.0730725
"National Economic Council"	0.0730555
FINA	0.0729715
"Forest Service"	0.0728534
IAAF	0.0727261
SEABROOK	0.0726546
"Department of Corrections"	0.0726227
Greenpeace	0.072614
Portnoy	0.0724975
"Civil Aviation Authority"	0.072386
"New York Civil Liberties Union"	0.0721753
Starwood	0.071936
"House Appropriations Committee"	0.0715903
Trulock	0.0714548
Spitzer	0.0714215
CSC	0.0714058
UC	0.0710286
"Environmental Protection Agency"	0.0709045
Hambrecht	0.0708392
"Parades Commission"	0.0708281
"Bank of Uganda"	0.0707853
UNIP	0.0706361
"Recording Industry Association of America"	0.0704327
UNP	0.0702063
"Texas Department of Health"	0.069823
"Fish and Wildlife Service"	0.0697807
"Culture Ministry"	0.0696986
PBOC	0.0695051
IEC	0.0693643
"Department of Justice"	0.0693596
"U.S. Defense Department"	0.0693299
SETC	0.0692087
"Consumer Product Safety Commission"	0.0689947
"United States government"	0.0688194
"Judiciary Committee"	0.0688052
FDIC	0.0686458
Voinovich	0.0686156
"appellate court"	0.0685385
CDB	0.0684909
SSE	0.0684462
"trial court"	0.0682212
"Texas Supreme Court"	0.0682004
"Senate Budget Committee"	0.0681824
LaPierre	0.0681398
"Richard Blumenthal"	0.0679794
))
(CG (desc 2442.76) (sims
JT	0.179643
dw	0.109782
hjf	0.0805891
SC	0.0673776
ad/ls	0.0628395
CGI	0.062774
ADC	0.06207
Darlene	0.0565524
parf-ip	0.0538459
vls	0.0532958
rjm	0.0514306
cb-parf	0.0508946
JP	0.0507409
GK	0.0504317
MC	0.0496351
"Congress Working Committee"	0.0492775
JC	0.0458142
"Lino Oviedo"	0.0456014
Corolla	0.0445246
nw/ls	0.0432135
Asia-Europe	0.0429757
cph	0.0422165
vi/gm	0.0422045
scw	0.0416428
nonwhite	0.0413243
"North Atlantic Council"	0.0412717
Ek	0.0409285
))
(CGI (desc 1101.5) (sims
FOMC	0.165458
"Damascus Declaration"	0.139356
PECC	0.112992
PCC	0.104212
Asia-Europe	0.103039
JMC	0.102207
"Group of Rio"	0.0993956
eco	0.0989671
"Paris Club"	0.0988434
ASEM	0.0960349
one-to-one	0.0957978
ARF	0.0943617
CWC	0.0937
"Congress Working Committee"	0.0936336
"Israeli Cabinet"	0.092301
WEU	0.09106
CPLP	0.0898144
CMAG	0.0875066
"Cliffs Notes"	0.0822647
ESCAP	0.080993
OCA	0.0805526
PNC	0.0792724
JLG	0.0789598
"Federal Open Market Committee"	0.0783152
MBNA	0.0780442
G-@@	0.0779788
D-@	0.0751364
CITES	0.0748339
"London Club"	0.0743638
"Alcoholics Anonymous"	0.0727951
"Rio Group"	0.0720321
WEF	0.0716993
interagency	0.070623
ODA	0.0705595
"Star Alliance"	0.0692045
IDB	0.0688666
IGC	0.0687788
"Rotary International"	0.0685494
"European Council"	0.0682663
live-action	0.0681215
SAARC	0.0672766
transformative	0.0671216
"PLO Executive Committee"	0.0667499
"Los Angeles City Council"	0.0667118
"Andean Group"	0.0655527
CITIC	0.0648198
SADC	0.06468
VC	0.0644706
"Palestinian Council"	0.0641549
"North Atlantic Council"	0.0636153
G@@	0.0634601
GCC	0.0631768
"night time"	0.0631754
EBRD	0.062942
UPU	0.0628908
KEDO	0.0628758
CPF	0.0627994
CG	0.062774
U.S.-led	0.0627425
PATA	0.0621769
"four key"	0.061601
"Three key"	0.0615673
"Consultative Group"	0.061455
COMESA	0.0612407
ADB	0.0612211
ACP	0.0611946
"Great Hural"	0.0611599
OAS	0.0611177
SDMI	0.060633
Presidium	0.0603183
"Supreme Council"	0.0602551
"U.N. Human Rights Commission"	0.0600295
NDA	0.0600241
"A few key"	0.0599814
"Oak Tree"	0.059814
IGAD	0.0597106
"Andean Community"	0.0596748
NAM	0.0596206
"paying back"	0.0591913
OIC	0.0588445
NGO	0.058822
MCC	0.0578754
"General Council"	0.0578127
IEA	0.0577961
Chemo	0.0576747
"Contact Group"	0.0575181
E.U	0.0571008
Mensa	0.0560679
"Board of Governors"	0.0559469
G-@	0.0558807
MPR	0.0555346
NSC	0.0554753
improv	0.0552757
"steering committee"	0.05518
GMA	0.0546682
NDF	0.0543948
UUP	0.0543679
Forty-two	0.0543476
"instruction manual"	0.0543184
TPA	0.0542797
"other @@@"	0.0541728
Komura	0.0540308
COSATU	0.0537825
CPA	0.05369
WIPO	0.0536084
G@	0.0535775
manmade	0.0535451
UNIDO	0.0534717
hourlong	0.0534537
SBA	0.0534469
fulltime	0.0533965
"Jerusalem Committee"	0.0531293
Ida	0.0530754
"NZ First"	0.0530044
Klan	0.0529546
ITTF	0.0527608
"Golden League"	0.0527545
Boomerang	0.0526347
DAP	0.0526281
E-ZPass	0.0518644
MDMA	0.0516534
EAC	0.0515992
"Executive Committee"	0.0515413
lemming	0.0515006
"Commonwealth Bank of Australia"	0.0514722
Webcam	0.0514348
egghead	0.051374
"Around @@@"	0.0511582
non-Muslim	0.0509765
AUM	0.0509513
VFW	0.0508862
UNIP	0.0507843
NHS	0.0507586
"U.S. Congress"	0.0507487
"National Council"	0.0505711
"Love Bug"	0.0504987
Thirty-six	0.0503458
"Olympic Committee"	0.0503353
nine-hour	0.0503128
INTERFET	0.0501774
"Group of Eight"	0.0501635
"Boys Ranch"	0.0499531
ILO	0.0499085
"Rules Committee"	0.0498412
OECD	0.0498011
AHA	0.0497416
"Republican House"	0.0495835
plc	0.0494922
CEC	0.049269
Soma	0.0491751
CSC	0.0490715
Inca	0.0490059
"Palestine National Council"	0.0489272
P-@	0.0487421
ITU	0.0487205
MPLA	0.0486839
"Monetary Policy Committee"	0.0486257
Roundtable	0.0483552
"last two digits"	0.0480862
Lindy	0.0478705
"Group of @@"	0.0477854
FAO	0.0477297
"leading edge"	0.0476755
BOJ	0.0476269
encyclical	0.0476162
"House International Relations Committee"	0.0475505
AmCham	0.0474758
obit	0.0473989
"Joint Commission"	0.0472366
Politburo	0.0472172
"Wireless Optus"	0.0469199
"planning board"	0.0467286
"Commonwealth Ministerial Action Group"	0.0466093
AEC	0.0465377
UMNO	0.0464684
"Commonwealth Bank"	0.0464218
SPS	0.0463033
"first @@@"	0.0462726
ELEVENTH	0.0461414
CWA	0.04611
"Appropriations Committee"	0.0460806
"one line"	0.0459028
CDB	0.0458584
inter-Korean	0.0458396
Checkfree	0.0458234
AFTA	0.0457458
SGI	0.0457223
"Wild Party"	0.0457046
Terra	0.0456661
midwinter	0.0455972
Gitic	0.0455133
"American Heart Association"	0.045385
KNU	0.0453446
"ASEAN Regional Forum"	0.0453341
Antz	0.0451908
KKK	0.0451866
Schwarzenegger	0.0451589
five-hour	0.0450065
aromatherapy	0.04499
SPF	0.0449227
))
(Cha (desc 2339.71) (sims
Grachev	0.146357
Warshaw	0.113468
Skuratov	0.101823
"Glenn Hoddle"	0.0981449
"John Calipari"	0.0961635
Zambrano	0.0937858
Rodionov	0.0930039
"Jim Harrick"	0.0897504
Lundberg	0.0867935
Vasile	0.0858219
Condit	0.0855972
Blazevic	0.0853878
Schoenfeld	0.0848921
Hartsburg	0.0837977
Yastrzhembsky	0.0826087
Sampson	0.0811196
Milbury	0.0798827
Ftorek	0.0798165
Dunlap	0.0796926
Mokhehle	0.0785467
Ruthardt	0.0784839
DiCarlo	0.0767319
Talebi	0.0761378
Rongen	0.0760081
Berra	0.0755292
Landry	0.0751655
USTA	0.0745251
Meissner	0.0741266
Stepashin	0.0736906
Asprilla	0.0736268
Soares	0.0729571
hough	0.0728968
"Bora Milutinovic"	0.0728594
Hargrove	0.0726756
Musharraf	0.0725286
Meciar	0.0725119
Jung	0.0722203
Gullit	0.0721225
Romar	0.0719515
Kassirer	0.0716778
Tevanian	0.0714891
Dodik	0.0714711
Kerasiotes	0.0711862
Vogts	0.0711505
Hoddle	0.0706911
"Fred Claire"	0.0704282
Zacarias	0.0703986
Keenan	0.0700495
Gullikson	0.0698132
Cavallo	0.0692562
Zenga	0.0691817
Popovich	0.0690786
"La Russa"	0.0678719
Hartwig	0.0676683
Westphal	0.0673994
Hiddink	0.0672779
"Ernie Grunfeld"	0.0667495
Maldini	0.066681
Kulikov	0.066589
Murayama	0.0665419
Bucaram	0.0665007
Farley	0.0658192
Zampese	0.0650083
"Mike Hargrove"	0.0645953
Jacquet	0.0639999
"Barry Switzer"	0.0637233
Chubais	0.063698
"Ray Evernham"	0.0635582
Berezovsky	0.063336
Bishara	0.063193
Milutinovic	0.0628228
Solis	0.0623529
hodgson	0.062305
Schippers	0.0620464
Harmoko	0.0620255
"Dom Capers"	0.0619354
Finkel	0.0616984
Hersh	0.0615768
Switzer	0.0615746
Havelange	0.061572
Magaziner	0.0615356
Brazile	0.0615329
Schottenheimer	0.0612844
Carlesimo	0.0612815
Wannstedt	0.061098
Esposito	0.0610333
"Norv Turner"	0.060453
Hodler	0.0599629
Drabinsky	0.0598295
Harrick	0.0598214
GRUNFELD	0.0597788
Muckler	0.0595766
Sununu	0.0595695
"Brian Lara"	0.0595321
"John Robinson"	0.0594438
Goldin	0.058707
Spector	0.0586396
Olsen	0.0582822
Slatkin	0.0582749
Chevenement	0.0582173
Safir	0.0582029
BNFL	0.058169
Clemente	0.0579489
Verniero	0.0578112
Ponciano	0.0574548
Difrancesco	0.057383
Bragman	0.0572428
Chavalit	0.0572039
Bulatovic	0.05714
Cowens	0.0571251
"Board of Elections"	0.0570946
Manley	0.0570266
Zagallo	0.057015
Pfeiffer	0.0569048
Badillo	0.0567523
Tuttle	0.0567214
Esiason	0.0563105
AOC	0.0562117
Ishihara	0.0561056
Transamerica	0.0557703
"U.S. Soccer Federation"	0.0557102
Monson	0.0556561
Graziano	0.0556391
Moseley-Braun	0.055623
Malu	0.0554523
"Mike Barnicle"	0.0553729
Bettman	0.0553243
Calipari	0.0553218
"Don Nelson"	0.0549227
Kennelly	0.0545788
"Rick Neuheisel"	0.054373
Teresi	0.0542443
Karl	0.0542228
Sponeck	0.0541687
"U.S. Administration"	0.0539411
Garcetti	0.0539034
Grier	0.053893
"P.J Carlesimo"	0.0536506
Icahn	0.0535389
Sanan	0.0533944
Lari	0.0532918
Desormeaux	0.0532007
"Lou Holtz"	0.0530266
Montesinos	0.0528984
"Sergei Stepashin"	0.052821
"De la Cruz"	0.0525898
Spyridon	0.052553
Ivester	0.052433
Bustamante	0.0523991
"Chan Gailey"	0.0522817
Mohajerani	0.0522345
Nemtsov	0.0521816
"Ruud Gullit"	0.0519333
Rothenberg	0.0518746
Bonner	0.0518371
Draskovic	0.0517741
"Tim Johnson"	0.0517116
Feldman	0.0516145
Scioscia	0.0516136
Primakov	0.0515702
Pruett	0.0515399
Guthridge	0.0514955
Aliev	0.0514135
McDuffie	0.0514094
Margolis	0.0510531
"Butch Carter"	0.0510037
Holzman	0.0509055
"Don Baylor"	0.0508467
Lafontaine	0.0508017
"Walter Zenga"	0.0507478
Canty	0.0505751
Hirsch	0.0504782
Sassa	0.050459
Whipple	0.0501845
Koch-Weser	0.0500992
Schroder	0.0498662
Charest	0.0498633
Boehner	0.049826
"welfare worker"	0.0496139
Catacosinos	0.0496076
Wolfson	0.0495975
"Iranian Foreign Ministry"	0.0495459
Tillman	0.0494899
Garber	0.0493702
Beretta	0.0493126
Venables	0.0492087
Baca	0.0491622
"Dan Morales"	0.0491256
"Tom Osborne"	0.0491199
"Ernie Zampese"	0.0489748
"Pat Burns"	0.0489645
Alarcon	0.0486167
Wenger	0.0486044
"June Jones"	0.048563
Lafleur	0.048556
Oliver	0.0484946
Baumann	0.048333
Bubb	0.0483279
"Louise Arbour"	0.0483036
"U.S. Defense Department"	0.0482737
))
(Chabot (desc 1105.95) (sims
Moakley	0.234503
Goode	0.231429
Doggett	0.229332
Weldon	0.219663
Danner	0.206111
Delahunt	0.204582
Napolitano	0.202099
McInnis	0.201374
Northup	0.199815
Nadler	0.196104
McHugh	0.19534
Engel	0.191638
COYNE	0.188344
Waxman	0.18825
Schaffer	0.185478
Isakson	0.183932
Markey	0.181521
Hobson	0.176227
Menendez	0.174995
Canady	0.167607
Klink	0.167199
Metcalf	0.166604
Rogan	0.164758
Royce	0.164143
Bliley	0.163117
Kolbe	0.151485
Capps	0.149975
Condit	0.147118
McNulty	0.146533
Portman	0.146452
granger	0.145988
McIntyre	0.145084
Chambliss	0.142877
Pelosi	0.141647
Latham	0.138639
Dooley	0.136999
Meeks	0.136338
Gilman	0.134895
Houghton	0.132752
Largent	0.132247
Pagones	0.129192
Goss	0.128418
Pickett	0.127653
PITTS	0.125985
McCollum	0.125656
Larson	0.124421
mica	0.123424
Pryce	0.123041
McIntosh	0.122815
Leach	0.122672
Farr	0.121646
Phelps	0.121623
Lowey	0.120481
Linder	0.120185
Dingell	0.119515
Meehan	0.118684
Berman	0.118469
Callahan	0.118387
SHUSTER	0.117609
Montiel	0.11724
Thurman	0.116869
Ciampi	0.116404
Lipinski	0.114642
Serrano	0.113042
Moran	0.112563
Stearns	0.112381
Deutsch	0.111329
Crowley	0.110012
McKeon	0.109209
Tauzin	0.108835
Neal	0.10869
Rangel	0.106852
Sawyer	0.105852
Packard	0.105217
McGovern	0.105149
Kasich	0.102713
Ralston	0.102306
Hastings	0.101878
Cummings	0.101601
Edelman	0.101118
fowler	0.0996468
Sherwood	0.0974685
Merkel	0.0971314
Strickland	0.0968055
Earle	0.0954305
Sanford	0.0949719
Connell	0.0948108
Barrett	0.0903787
Hynes	0.0902101
Smitherman	0.0901674
Hayworth	0.0891879
Parris	0.0878486
Allchin	0.0852414
Gutierrez	0.0852413
Holt	0.0850573
peat	0.0840215
Fossett	0.0829727
Velazquez	0.0828736
Yazdi	0.0824966
Sheehan	0.0815701
Charest	0.0810513
Muti	0.0797029
McDermott	0.0795212
Lazarenko	0.0787041
Katsav	0.0783726
Hahn	0.0782719
burr	0.0781854
Penn.	0.0781158
Armey	0.0780723
Costello	0.077658
Nateq-Nouri	0.0773335
Bono	0.0770052
lacy	0.0763291
Reyes	0.0761186
Gephardt	0.0761071
Nemtsov	0.0752435
Bonilla	0.075191
Sherman	0.0751197
Flanagan	0.0749926
Demaci	0.0749609
Majko	0.0745181
Greenwood	0.074274
Gormley	0.0741752
Nujoma	0.0739336
Thurmond	0.0736348
Watkins	0.0729485
Conyers	0.0724326
Kasoulides	0.0720793
Emerson	0.0717914
Jaffe	0.0717265
Yastrzhembsky	0.07172
Zeroual	0.0715828
ADL	0.0712736
McCarthy	0.0710751
Masire	0.0709835
Doyle	0.0709698
Bateman	0.0709385
Lockyer	0.0709128
Neulander	0.0704479
Jovanovic	0.0704389
Pryor	0.0703196
Hastert	0.0701725
Eizenstat	0.0698983
Dixon	0.0698118
PML	0.0696605
Gartner	0.0694339
Rosenthal	0.0686033
Baca	0.0681744
Kodikian	0.067697
Slaney	0.0676107
Maharaj	0.0661087
Lehrer	0.0660728
Smaltz	0.0658993
Kingston	0.0657789
Wexler	0.0657652
Albrecht	0.0654127
Shulman	0.0653866
Dodik	0.0653756
"Abu Nidal"	0.0651041
Conte	0.0650861
Grachev	0.0647834
Prueher	0.0647235
Lowery	0.0645762
Gaffney	0.0642341
mascara	0.064075
Ibarra	0.0638945
Myhrvold	0.0638088
Pickering	0.0636805
Bassett	0.0636287
Recker	0.0634529
Merritt	0.0630941
Hummer	0.0630431
Izetbegovic	0.0629787
Brundtland	0.0629377
Wendt	0.0628743
Schippers	0.0628697
Ruehe	0.0628442
Klestil	0.0625957
Santorum	0.0625382
Ikimi	0.0624787
DeBerg	0.0624746
Sensenbrenner	0.0624718
Tarawneh	0.0622011
Schiff	0.0617158
Dewine	0.0616245
Condon	0.0614901
Caddell	0.0612187
Spielman	0.0610483
Schmalensee	0.0609066
Goff	0.0608772
Dukakis	0.060701
Cepeda	0.0606285
Azad	0.0605068
Schell	0.0604954
Lahoud	0.0600095
Difrancesco	0.0597916
Kidder	0.0595845
Thapa	0.0595536
Bunning	0.0594328
Hallinan	0.0582418
))
(Chad (desc 13623.7) (sims
Gabon	0.276991
Mali	0.276024
Niger	0.270403
Benin	0.265364
"Burkina Faso"	0.256123
Gambia	0.245945
Senegal	0.245045
Togo	0.240379
Mauritania	0.22844
"Sao Tome and Principe"	0.222376
"Central African Republic"	0.22217
Cameroun	0.211332
Malawi	0.210584
"Equatorial Guinea"	0.209562
"Republic of Congo"	0.206034
Madagascar	0.204769
Guinea	0.201195
Ghana	0.198393
Namibia	0.196162
"Ivory Coast"	0.195554
Seychelles	0.192895
Guinea-Bissau	0.192502
Botswana	0.192011
Djibouti	0.191477
Mauritius	0.190985
"Guinea Bissau"	0.188945
Congo	0.188762
"Cape Verde"	0.186007
Comoros	0.184157
Angola	0.181793
Liberia	0.180061
Rwanda	0.174151
Cameroon	0.173302
Zaire	0.171352
Ethiopia	0.166514
Mozambique	0.16586
"Sierra Leone"	0.165786
Swaziland	0.162618
Uganda	0.161233
Burundi	0.159854
Lesotho	0.156059
"Democratic Republic of the Congo"	0.155691
Tanzania	0.151809
"Democratic Congo"	0.151528
Algeria	0.151431
Tunisia	0.150995
Sudan	0.150107
Zimbabwe	0.149295
Zambia	0.146904
Somalia	0.1451
Nigeria	0.140628
Kenya	0.140376
Yemen	0.138168
"Democratic Republic"	0.131465
"Democratic Republic of Congo"	0.124428
DRC	0.121163
Eritrea	0.119581
"Congo Republic"	0.114415
Morocco	0.113684
"South Africa"	0.112255
Nicaragua	0.110489
Egypt	0.109687
Libya	0.107062
Bolivia	0.102186
Haiti	0.100956
Guyana	0.100327
"African country"	0.0993341
Afghanistan	0.0939606
Oman	0.0933346
"Papua New Guinea"	0.0928989
Cambodia	0.0913014
Ivoire	0.0909538
Ecuador	0.0900546
Laos	0.0896332
Mongolia	0.0894723
Bangladesh	0.0893695
Azerbaijan	0.0893691
Malta	0.0882858
Kyrgyzstan	0.088147
"El Salvador"	0.0870169
"Central Africa"	0.0869945
Slovenia	0.0867908
"African nation"	0.0865691
Tajikistan	0.086464
Colombia	0.0863961
"D.R Congo"	0.0862662
Qatar	0.0857861
Armenia	0.0854143
Bulgaria	0.0854
Kuwait	0.0851575
Burma	0.084501
"Saudi Arabia"	0.0840885
"Sri Lanka"	0.0826654
Guatemala	0.0826252
Peru	0.0811908
Albania	0.0802096
Honduras	0.0793451
Chile	0.0788947
Uzbekistan	0.0787582
Croatia	0.078435
Kazakhstan	0.078426
Panama	0.0781045
Moldova	0.0780916
Malaysia	0.077747
Bahrain	0.0775398
Iceland	0.0773416
Syria	0.0772683
Argentina	0.077236
Ukraine	0.0772038
Venezuela	0.0769365
Iran	0.0756288
Hungary	0.0754565
"Costa Rica"	0.0752906
Turkmenistan	0.0750853
Pakistan	0.0750656
Bosnia-Herzegovina	0.0741619
Myanmar	0.0739313
"United Arab Emirates"	0.0737636
Bosnia	0.0734562
Finland	0.0733335
Republic	0.0730778
Bhutan	0.0722339
Poland	0.0720069
Norway	0.0717606
Cuba	0.0716836
Lithuania	0.0715034
Paraguay	0.0709116
Nepal	0.0708215
Portugal	0.0704027
"Dominican Republic"	0.0698034
Kazakstan	0.0697097
Indonesia	0.0694997
Uruguay	0.0693906
Lebanon	0.069006
"Western Sahara"	0.0689959
Montenegro	0.0689107
Jamaica	0.068507
"North Korea"	0.0683341
Turkey	0.0681963
Vietnam	0.0681535
Brazil	0.067551
Romania	0.0675414
Fiji	0.0673346
Latvia	0.0672824
"South Vietnam"	0.0658088
Dominica	0.065604
Belgium	0.0654442
Greece	0.0652847
Austria	0.0651026
Brunei	0.0650281
Macedonia	0.0650109
Estonia	0.064547
Cyprus	0.0643586
Maldives	0.0640259
Surinam	0.0636077
Belarus	0.0635852
Yugoslavia	0.062903
Thailand	0.0621748
Chechnya	0.0620847
Italy	0.0609118
Belize	0.0607449
Jordan	0.0606251
Bangui	0.0606169
Philippines	0.0604334
"South Korea"	0.0603429
Ingushetia	0.0600218
"East Timor"	0.0598432
Brazzaville	0.0597956
Ireland	0.0597488
Palestine	0.0597215
Abkhazia	0.0596941
Grenada	0.0592094
Slovakia	0.0591429
Spain	0.0589117
"Viet Nam"	0.0583288
"United Republic of Tanzania"	0.0580348
Suriname	0.0579506
Kisangani	0.0576539
Kinshasa	0.0576438
Kabila	0.0576365
"West Germany"	0.057594
"New Zealand"	0.0572523
Zanzibar	0.0565223
"South American country"	0.0563299
Serbia	0.0562851
UAE	0.0557912
Nauru	0.0555844
"Great Lakes Region"	0.0554338
Dagestan	0.0545787
Barbados	0.0538872
Luxembourg	0.0537266
"Trinidad and Tobago"	0.0537122
"North Ossetia"	0.0536838
emirate	0.053603
Tbilisi	0.0534623
Khartoum	0.0533706
"Irish Republic"	0.0528528
"Delta State"	0.0526646
Somali	0.0524432
"East Germany"	0.0523598
))
("Chad Brown" (desc 1568.04) (sims
"Cortez Kennedy"	0.345714
"Darrin Smith"	0.260689
"Joey Galloway"	0.173478
"Ricky Watters"	0.17263
"Jessie Armstead"	0.171963
"Sam Adams"	0.169563
"Mo Lewis"	0.143801
"Jessie Tuggle"	0.117539
"Bryan Cox"	0.117182
"Zach Thomas"	0.117051
"Chris Slade"	0.116037
"Derrick Thomas"	0.115927
"Dexter Coakley"	0.10921
"Willie McGinest"	0.0986209
"Warren Sapp"	0.0961807
"Jamir Miller"	0.0936402
"Warren Moon"	0.0927354
"Ty Law"	0.0901917
"Michael Strahan"	0.0901469
"John Lynch"	0.0901067
"Aeneas Williams"	0.0899718
"Simeon Rice"	0.0889679
"Henri Crockett"	0.0887008
"Reggie White"	0.0877114
"Todd Collins"	0.0872665
"Jon Kitna"	0.0864663
"JEVON KEARSE"	0.0862178
"Cornelius Bennett"	0.0830549
Talebi	0.0821103
"Ray Lewis"	0.0817786
"Quentin Coryatt"	0.0795273
"Aaron Glenn"	0.0789104
"Ryan Nece"	0.0774482
"Chris Claiborne"	0.0760261
"Tony White"	0.0752295
Fleischer	0.0751597
"Pepper Johnson"	0.0749526
"Bill Romanowski"	0.0744654
"Michael Wiley"	0.0739259
Ratliff	0.0738286
"Robert Thomas"	0.0712292
"Lawrence Taylor"	0.0712186
"Darrell Green"	0.0712143
Hickman	0.0711726
"Randall Godfrey"	0.0704266
"Neil Smith"	0.0703931
"John Randle"	0.0693401
Heinrichs	0.0684092
"Chuck Smith"	0.0671011
"Keith Brooking"	0.0669527
"Mike Jones"	0.066483
"Trace Armstrong"	0.0662308
Azizah	0.0654242
Godfrey	0.0652165
Jayakumar	0.064798
"administration official"	0.0647001
Biffle	0.0645541
"Dat Nguyen"	0.064496
Solis	0.0640224
Dougherty	0.0640104
Croshere	0.0636024
Heinze	0.062865
Guerra	0.062778
Okada	0.0618718
Shoate	0.0611833
DiPietro	0.0606204
"Shannon Sharpe"	0.0601253
Solich	0.059601
Cota	0.0590074
Geiger	0.0588018
O'Reilly	0.0584537
"Chris Warren"	0.0581102
"LaVar Arrington"	0.0575096
Insulza	0.0574687
Finkel	0.0572006
"de Charette"	0.0567139
Bronson	0.0566064
Girard	0.056117
Paxon	0.0559503
Ainge	0.0558947
"Pete Holland"	0.0557924
Scelzi	0.0556209
Gogel	0.055583
Passarella	0.0555709
"Leon Lett"	0.0554668
"Jamal Anderson"	0.055252
Molinari	0.0549771
"Tedy Bruschi"	0.0545771
Hightower	0.0544449
Moreno	0.0541741
Schmid	0.0541488
Nickerson	0.0536702
Gauthier	0.0535631
"Steve Atwater"	0.0531877
Kenyon	0.0530907
Diggs	0.0530087
Lehane	0.0529858
"Michael Smith"	0.0529356
Smyers	0.0529168
Vialli	0.0528267
Narayanan	0.0527967
Gibbons	0.0524282
Wilhelm	0.0523913
beamer	0.0522821
Jovanovic	0.0520883
Sahadi	0.0520685
Polynice	0.0518866
"Larry Allen"	0.0517327
Jacobsen	0.0514416
Golding	0.0512322
Hartsburg	0.0511308
"Kevin Williams"	0.0509496
"Keyshawn Johnson"	0.0509447
Zwick	0.0508647
"Ted Johnson"	0.0506331
"Celinda Lake"	0.0506288
Moog	0.0505637
"HERMAN MOORE"	0.0505368
Barros	0.0505221
Yazdi	0.0502748
Hoch	0.050274
Andreychuk	0.0502636
"Brian Williams"	0.0501947
D'Alessandro	0.0499665
Farr	0.0498108
Zadornov	0.0496551
Dewine	0.049555
Strauss-Kahn	0.0494483
Ditka	0.0494093
Garces	0.0492843
Mustafa	0.049047
"National Security Adviser Sandy Berger"	0.0490307
Gaston	0.0485982
Rubenstein	0.048577
Slade	0.04848
Ebersol	0.048478
"Dan Miller"	0.0484443
"Elliott Walden"	0.0484135
Bodine	0.0481552
COYNE	0.0481226
Malu	0.0479209
Rahal	0.0479206
"Charles Woodson"	0.0478166
Leetch	0.0477683
"David Jones"	0.0477053
Samuelson	0.0476254
"Erik Williams"	0.0476006
Prewitt	0.0474181
Ertl	0.0474034
"Tom Lampkin"	0.0473935
Rollins	0.0473377
Triplett	0.0473019
Polian	0.0468631
Sapp	0.0468197
"Rob Tallas"	0.0467364
Millar	0.0467266
Khabibulin	0.0467114
"Eric Swann"	0.0466035
O'Sullivan	0.0465139
"Richard Mandella"	0.0464738
Baba	0.0464201
Hauser	0.046218
Eubanks	0.0461007
Tarawneh	0.0460747
Zeng	0.0460673
"Chris Canty"	0.0460624
Guidry	0.0459868
Calcavecchia	0.0458704
"Donna Shalala"	0.0458677
Ruehe	0.0458203
Tuberville	0.0458038
Penders	0.0457279
Vogel	0.0456736
Kornberg	0.0455493
Jaffe	0.0453342
Herron	0.0453067
Olowokandi	0.0451889
Shamshad	0.045144
Colbert	0.0451432
Tanui	0.0448862
"Mike McCurry"	0.0447886
Boucher	0.0446959
Kuehne	0.0446953
O'Neil	0.0446456
Meissner	0.0445203
Kostov	0.044501
"Bank of Korea"	0.0444075
Madsen	0.0442963
Auriemma	0.0442805
"Vernon Maxwell"	0.0442799
Voskuhl	0.0442579
Gilmour	0.0442269
Longo	0.0441919
Cianci	0.0441917
Brundtland	0.0441552
Herta	0.0441346
Donnan	0.0441097
Marinovich	0.0439804
"Joe Lockhart"	0.043944
Fulmer	0.0439213
))
("Chad Curtis" (desc 6656.45) (sims
"Ricky Ledee"	0.339748
"Shane Spencer"	0.311854
"Scott Brosius"	0.291656
"Jorge Posada"	0.280796
"Tim Raines"	0.277002
"Paul O'Neill"	0.275737
"Chili Davis"	0.267325
"Tino Martinez"	0.26152
"Bernie Williams"	0.253077
"Gabe Kapler"	0.248259
"Luis Sojo"	0.239832
"Chuck Knoblauch"	0.238661
"Mike Lamb"	0.231377
"Derek Jeter"	0.225797
"Glenallen Hill"	0.22191
"Bruce Aven"	0.219286
"Eric Owens"	0.218698
"Jim Leyritz"	0.213996
"Rusty Greer"	0.211977
"Roberto Kelly"	0.211065
"Darryl Strawberry"	0.208717
"Royce Clayton"	0.205837
"Gerald Williams"	0.204787
"Matt Lawton"	0.204395
"Rich Becker"	0.201626
"Preston Wilson"	0.195357
"Danny Bautista"	0.194282
Ledee	0.187674
"Andruw Jones"	0.187416
"Ruben Mateo"	0.186226
"John Vander Wal"	0.186133
"Dmitri Young"	0.186026
"Orlando Palmeiro"	0.185893
"Geoff Jenkins"	0.185671
"Tim Salmon"	0.1855
"Tom Goodwin"	0.185422
"Dante Bichette"	0.184173
Vidro	0.182981
"Garret Anderson"	0.18293
"Brian Hunter"	0.182677
"Mike Cameron"	0.18237
Rolen	0.181632
"Reggie Sanders"	0.181192
"Carlos Lee"	0.180245
"Matt Franco"	0.179679
"Clay Bellinger"	0.179404
"Scott Spiezio"	0.178227
"Luis Polonia"	0.176403
"Luis Alicea"	0.175459
"Matt Luke"	0.174741
"Bubba Trammell"	0.174628
"Joe Girardi"	0.174327
"Rondell White"	0.172321
"Trot Nixon"	0.172258
"Al Martin"	0.171926
"Ray Durham"	0.171767
"Benny Agbayani"	0.171477
"Trenidad Hubbard"	0.171439
"Lee Stevens"	0.171093
"Derrek Lee"	0.170513
"Luis Gonzalez"	0.170456
"Marvin Benard"	0.17022
Brosius	0.169762
Kapler	0.169466
"B.J Surhoff"	0.169379
"Carl Everett"	0.169154
"Troy Glaus"	0.168315
Erstad	0.168126
"Brian Jordan"	0.167472
"Lenny Harris"	0.167104
"Darin Erstad"	0.166869
"Bobby Abreu"	0.166752
"Ron Gant"	0.16661
"Quinton McCracken"	0.165824
"Kenny Lofton"	0.165792
"Shawn Green"	0.165358
"Jay Buhner"	0.165349
"Mark McLemore"	0.165323
"Mark Loretta"	0.165015
"Bill Spiers"	0.163761
"Steve Finley"	0.162322
"Johnny Damon"	0.161948
"Juan Encarnacion"	0.161209
"Cliff Floyd"	0.161009
"Troy O'Leary"	0.160594
"Ray Lankford"	0.160307
"Jay Bell"	0.160055
"Butch Huskey"	0.160015
"Roger Cedeno"	0.159278
"Bobby Higginson"	0.159223
"Stan Javier"	0.159034
"Darren Lewis"	0.159007
"Henry Rodriguez"	0.158887
"Mark Kotsay"	0.158782
"Dave Martinez"	0.158677
"Edgar Martinez"	0.157731
"Tim Bogar"	0.157611
Cirillo	0.157338
"Brant Brown"	0.157113
"Mike Lowell"	0.156638
"Brady Anderson"	0.156578
"Russ Davis"	0.156199
"Ruben Rivera"	0.15605
"Derek Bell"	0.155941
"Vladimir Guerrero"	0.15564
"Edgardo Alfonzo"	0.155555
"Damon Buford"	0.155038
"Richard Hidalgo"	0.154874
"Ryan Klesko"	0.154742
"Rafael Palmeiro"	0.154698
"Devon White"	0.154206
"Rob Ducey"	0.154173
Knoblauch	0.154107
"Jeff Kent"	0.152878
"Scott Rolen"	0.152675
"Shannon Stewart"	0.152526
"Jermaine Dye"	0.152164
"Jose Guillen"	0.151988
"Warren Morris"	0.151776
Jeter	0.151095
"Raul Ibanez"	0.150876
"Jeffrey Hammonds"	0.150743
"David Bell"	0.150458
"Frank Catalanotto"	0.150381
"Matt Stairs"	0.149913
"Adrian Beltre"	0.14986
"Marquis Grissom"	0.149732
"Lance Berkman"	0.149446
"Tony Eusebio"	0.149378
"Rickey Henderson"	0.149356
"Damian Jackson"	0.149115
"David Segui"	0.149085
"F.P Santangelo"	0.148294
"Adam Kennedy"	0.147721
Posada	0.147677
"Raul Mondesi"	0.147452
"Todd Pratt"	0.147403
Spencer	0.147312
"Carlos Beltran"	0.147226
"Ben Grieve"	0.146906
Renteria	0.146775
"Chris Widger"	0.146603
"Brian Giles"	0.146519
"Eric Karros"	0.146334
"Gary Sheffield"	0.146201
"Dave Hansen"	0.145782
"Richie Sexson"	0.145562
"Ivan Rodriguez"	0.145038
"Mike Sweeney"	0.144858
"Jeff Conine"	0.144849
"Jim Thome"	0.144808
"Homer Bush"	0.144783
"Darren Bragg"	0.144627
"John Olerud"	0.143834
"Bernard Gilkey"	0.143566
"Manny Ramirez"	0.143386
"Paul Konerko"	0.142932
"Tony Graffanino"	0.142882
"John Mabry"	0.142764
"John Valentin"	0.142624
"Jay Payton"	0.142446
Abreu	0.142192
"Ron Coomer"	0.141961
"Melvin Mora"	0.141951
Lankford	0.14176
"Craig Counsell"	0.141442
"David Ortiz"	0.140925
"Damian Miller"	0.14061
"Juan Gonzalez"	0.140357
"Terrence Long"	0.140309
"Joe McEwing"	0.140162
"Jose Hernandez"	0.139984
"Mark Grace"	0.139772
"Mickey Morandini"	0.1397
"Jose Vidro"	0.13957
"Kelly Stinnett"	0.139414
"Gregg Jefferies"	0.139239
"Andy Fox"	0.138882
"Miguel Tejada"	0.13824
"Deivi Cruz"	0.13803
"Ellis Burks"	0.137972
"Ozzie Guillen"	0.137948
"Luis Castillo"	0.137628
"Magglio Ordonez"	0.13748
"Mark Grudzielanek"	0.137346
"Barry Bonds"	0.136589
"Tony Batista"	0.136484
DeShields	0.136462
"Craig Biggio"	0.136298
"Marty Cordova"	0.136021
Alfonzo	0.135987
"Dean Palmer"	0.13592
"Jason McDonald"	0.135693
Olerud	0.135502
"Bill Mueller"	0.135404
"Dan Wilson"	0.135346
"Kevin Young"	0.13534
"Randy Velarde"	0.135313
"Travis Lee"	0.135155
"Edgar Renteria"	0.134969
"Fred McGriff"	0.134969
"Travis Fryman"	0.134949
"David Dellucci"	0.134676
Curtis	0.134583
"Brian Daubach"	0.134541
"Doug Glanville"	0.134258
"Greg Vaughn"	0.134084
Glaus	0.13406
"Todd Zeile"	0.133926
"Joe Randa"	0.133858
"Jim Edmonds"	0.133767
"Matt Mieske"	0.133677
"Jeff Cirillo"	0.133226
"Eric Davis"	0.132951
"Darryl Hamilton"	0.132589
"Eddie Taubensee"	0.132358
"Tony Phillips"	0.132282
Fullmer	0.132014
"Omar Vizquel"	0.131897
Palmeiro	0.131875
Spiers	0.131741
"Jason Varitek"	0.131305
Beltran	0.131273
Valentin	0.13094
"Jon Nunnally"	0.130751
"Phil Nevin"	0.130434
Fryman	0.130256
"Mike Simms"	0.130238
"Moises Alou"	0.129759
Karros	0.129482
"Eric Chavez"	0.128981
"J.D Drew"	0.128918
"Wil Cordero"	0.12834
"Nomar Garciaparra"	0.128311
Aurilia	0.128299
O'Neill	0.128262
"Alex Gonzalez"	0.127917
"Karim Garcia"	0.127904
"Tony Womack"	0.127565
"Chipper Jones"	0.127227
"Mike Bordick"	0.127021
"Matt Williams"	0.12702
"Will Clark"	0.126772
"Michael Tucker"	0.126719
"Wally Joyner"	0.126551
"Ken Caminiti"	0.126438
"Neifi Perez"	0.126423
"Gregg Zaun"	0.126266
Glanville	0.126055
"Mike Stanley"	0.125833
"Jose Valentin"	0.125812
"Russ Johnson"	0.125581
"Einar Diaz"	0.124976
"Ramiro Mendoza"	0.124895
Leyritz	0.124869
Randa	0.124806
"Fernando Tatis"	0.12416
Burnitz	0.123798
"Damion Easley"	0.123532
"Carlos Delgado"	0.122998
"Paul Bako"	0.122695
grieve	0.122512
"Jeff Bagwell"	0.122294
"Bobby Bonilla"	0.12227
"Alex Rodriguez"	0.121798
"Todd Helton"	0.121751
"Todd Hollandsworth"	0.121711
"J.T Snow"	0.121344
"Frank Thomas"	0.121218
"Daryle Ward"	0.120996
Daubach	0.120977
"Cristian Guzman"	0.120856
"Todd Greene"	0.120853
Batista	0.120573
"Lance Johnson"	0.120253
"Tony Clark"	0.120029
Agbayani	0.119327
"Desi Relaford"	0.119309
"Rico Brogna"	0.119256
"Jose Offerman"	0.118355
"Todd Walker"	0.118239
Higginson	0.118192
Bordick	0.118058
"Pat Meares"	0.117314
"Tom Lampkin"	0.117284
"Pokey Reese"	0.11727
Giambi	0.117027
"Quilvio Veras"	0.117009
"Corey Koskie"	0.11694
"Jose Cruz Jr."	0.116935
"Jeromy Burnitz"	0.116812
"Brian McRae"	0.116451
Lieberthal	0.116449
"Mike Lieberthal"	0.116243
"Ken Griffey Jr."	0.116212
Konerko	0.116208
"Fernando Vina"	0.115997
"Luis Lopez"	0.115921
"Jose Vizcaino"	0.115291
"Shawon Dunston"	0.114994
"Keith Lockhart"	0.114759
Varitek	0.11456
"Ricky Gutierrez"	0.114302
"Jason Giambi"	0.114136
"Kevin Jordan"	0.114026
"Bengie Molina"	0.113986
Vizquel	0.11394
"Vinny Castilla"	0.113898
"Kirk Gibson"	0.113801
"Roberto Alomar"	0.113757
"Pat Burrell"	0.113582
"Robin Ventura"	0.112768
Nevin	0.112701
"Rey Sanchez"	0.112613
"Chad Kreuter"	0.112548
"Todd Hundley"	0.112451
Alicea	0.112018
"Larry Walker"	0.112016
Sexson	0.111977
"Bill Haselman"	0.111591
"Tony Gwynn"	0.11089
Klesko	0.110773
"Albert Belle"	0.110661
McGriff	0.110636
Hollins	0.110208
"Herbert Perry"	0.10978
Bichette	0.109268
"Harold Baines"	0.108499
"Javy Lopez"	0.108367
"Jeff Huson"	0.107957
"Benji Gil"	0.107805
McLemore	0.107758
"Walt Weiss"	0.107682
"Mike Lansing"	0.107557
Garciaparra	0.107125
"Carlos Baerga"	0.106888
"Aaron Boone"	0.106731
Thome	0.10664
"Peter Bergeron"	0.106629
"Matt Walbeck"	0.106524
"Jason Kendall"	0.106366
"Jose Canseco"	0.106069
"Otis Nixon"	0.105525
"Manny Alexander"	0.105427
"Midre Cummings"	0.105225
"Jeremy Giambi"	0.105075
Castilla	0.104244
"Bret Boone"	0.104047
Surhoff	0.103972
"Chris Gomez"	0.103618
"Erubiel Durazo"	0.103468
"Andres Galarraga"	0.103171
Velarde	0.102931
Dunston	0.102902
"Wade Boggs"	0.102313
Vaughn	0.102204
"Mike Benjamin"	0.102052
Womack	0.102039
"Mike Piazza"	0.101854
Frye	0.10155
"Eric Young"	0.101453
Guillen	0.101144
Lofton	0.101124
Burks	0.100989
"Joe Carter"	0.100719
Cedeno	0.100445
))
("Chad Eaton" (desc 2411.47) (sims
"Ferric Collons"	0.375602
"Brandon Mitchell"	0.316814
"Henry Thomas"	0.296979
"Willie McGinest"	0.233561
"Chris Slade"	0.223769
"Bruce Armstrong"	0.201619
"Ted Johnson"	0.180137
"Chad Hennings"	0.177146
"Todd Collins"	0.174397
"Tedy Bruschi"	0.165214
"Willie Clay"	0.160283
"Cortez Kennedy"	0.155947
"Steve Israel"	0.154519
"Aaron Williams"	0.15089
"Orlando Brown"	0.15085
"Travis Hall"	0.147527
"Pete Holland"	0.144513
"Alonzo Spellman"	0.141813
"John Randle"	0.137572
"Shawn Jefferson"	0.136577
"Ken Kocher"	0.135547
"Sam Adams"	0.13544
"Bryant Young"	0.135181
"Shane Dronett"	0.131884
"Ty Law"	0.130912
"Dana Stubblefield"	0.129751
"Troy Brown"	0.12703
"Jumbo Elliott"	0.125497
"Vincent Brisby"	0.123617
"Eric Swann"	0.12232
"Lomas Brown"	0.121434
"Warren Sapp"	0.118615
"Jason Taylor"	0.116101
"Heath Irwin"	0.114822
Farr	0.110308
"Mark Tuinei"	0.110299
"Michael Myers"	0.109096
"Chuck Smith"	0.107835
"Dimitrius Underwood"	0.107788
"Ephraim Salaam"	0.107264
"Chris Canty"	0.107063
"Tebucky Jones"	0.105669
"Lester Archambeau"	0.105276
"Solomon Page"	0.104985
"Leon Lett"	0.101329
"John Tait"	0.098221
"Larry Allen"	0.0952088
"Bob Whitfield"	0.0946621
"Terry Glenn"	0.091647
"Trace Armstrong"	0.0914382
"Jason Fabini"	0.0900915
"Derrick Alexander"	0.0893481
"Dave Wohlabaugh"	0.0891531
"Michael Strahan"	0.0890914
"Flozell Adams"	0.0873131
"Tony Carter"	0.0872495
"Al Groh"	0.0847675
"Mark Smith"	0.0845794
"Ben Coates"	0.084561
"Mike Jones"	0.0825939
"Courtney Brown"	0.0801763
"Kris Farris"	0.0779433
"Greg Ellis"	0.0762486
"Charles Haley"	0.0752911
"L.J Shelton"	0.074515
"Tony Hutson"	0.0740533
"Bruce Matthews"	0.0736341
"Ebenezer Ekuban"	0.0714495
"Howie Long"	0.0694489
"Ernie Zampese"	0.0692136
"Erik Williams"	0.0686946
"Drew Bledsoe"	0.0685989
"Reggie White"	0.0684171
Slade	0.0668594
"Damien Woody"	0.0665523
"Robert Edwards"	0.0663479
"Todd Rucci"	0.0654759
"Everett McIver"	0.0638878
"Nate Newton"	0.0637107
"Bobby Hamilton"	0.0637035
Milloy	0.0634916
"Max Lane"	0.0631695
"Terry Allen"	0.0625971
"Andre Wadsworth"	0.0620527
"Simeon Rice"	0.0609491
"Dan Dierdorf"	0.058689
"James Jones"	0.0585968
Brisby	0.0578845
"Bruce Smith"	0.0573245
"John Fox"	0.0571161
"Sedrick Shaw"	0.0561344
"Manny Fernandez"	0.0559644
"Dave McGinnis"	0.0559423
"Rich Brooks"	0.0541606
"Tony Simmons"	0.0539794
McGinest	0.0539022
"Adam Vinatieri"	0.0536462
"JEVON KEARSE"	0.0527823
Katzenmoyer	0.050967
"Neil Smith"	0.0501527
"Pete Carroll"	0.0494174
Andreychuk	0.0493972
"Kavika Pittman"	0.0467815
Skiles	0.0440932
"Otis Smith"	0.0437386
"Dave Campo"	0.0436591
"Todd Husak"	0.0436255
Tuinei	0.0434809
McIver	0.0426286
"Doug Bodger"	0.0422875
"Andy Katzenmoyer"	0.0416808
"Charlie Garner"	0.0408742
"Dom Capers"	0.0402249
"Dedric Ward"	0.0401395
))
("Chad Hennings" (desc 1342.82) (sims
"Alonzo Spellman"	0.348378
"Leon Lett"	0.271832
"Erik Williams"	0.23683
"George Teague"	0.233319
"Kavika Pittman"	0.230053
"Greg Ellis"	0.221739
"Pete Holland"	0.205344
"Sam Adams"	0.190539
"Aaron Williams"	0.190402
"Mark Tuinei"	0.189165
"Trace Armstrong"	0.186679
"Ebenezer Ekuban"	0.182039
"Chad Eaton"	0.177146
"John Randle"	0.173941
"Cortez Kennedy"	0.173394
"Lester Archambeau"	0.170787
"Ken Kocher"	0.167551
"Bryant Young"	0.167224
"Darren Woodson"	0.166966
"Brandon Mitchell"	0.16014
"Shane Dronett"	0.15598
"Flozell Adams"	0.154964
"Warren Sapp"	0.154853
"Travis Hall"	0.152416
"Michael Myers"	0.149178
"Charles Haley"	0.146891
"Henry Thomas"	0.14278
"Dimitrius Underwood"	0.138328
"Randall Godfrey"	0.134914
"Dave Campo"	0.134356
"Michael Strahan"	0.134169
"Larry Allen"	0.133283
"Dana Stubblefield"	0.13009
"Jumbo Elliott"	0.129372
"Chuck Smith"	0.12887
"Eric Swann"	0.127803
"Deion Sanders"	0.126278
"Mark Smith"	0.123782
"Nate Newton"	0.123619
Farr	0.121068
"Jason Taylor"	0.120068
"Courtney Brown"	0.117806
"Dexter Coakley"	0.113302
"Orlando Brown"	0.112488
"Kevin Mathis"	0.112269
"Derrick Alexander"	0.110516
"Lomas Brown"	0.103421
"Mike Jones"	0.102509
"Ferric Collons"	0.101899
"Howie Long"	0.100311
"Ephraim Salaam"	0.0986838
"Bob Whitfield"	0.0964893
"Bruce Armstrong"	0.0958803
"Jason Fabini"	0.0943843
"Quentin Coryatt"	0.0929017
"Solomon Page"	0.0927832
"Reggie White"	0.0911491
"L.J Shelton"	0.0911
"John Tait"	0.0906612
"Jason Garrett"	0.0899058
"Kevin Smith"	0.0889011
"Kris Farris"	0.0864938
"Eric Bjornson"	0.084624
"Daryl Johnston"	0.0834681
"Andre Wadsworth"	0.0829493
"Simeon Rice"	0.0827253
"Charlie Williams"	0.0823527
"Michael Irvin"	0.0821442
"Willie McGinest"	0.0804665
"Dave McGinnis"	0.0775111
"Bobby Hamilton"	0.0774284
"Manny Fernandez"	0.074907
"Tony Hutson"	0.0738894
"Neil Smith"	0.0703718
"Hubert Davis"	0.0699754
"Everett McIver"	0.0698217
"David LaFleur"	0.0697756
"Rich Brooks"	0.0696679
"Bruce Smith"	0.0685862
"James Jones"	0.0654691
"Leonel Alvarez"	0.0653898
"Eddie Murray"	0.0649808
"Phillippi Sparks"	0.0647005
"Max Lane"	0.0633604
"Emmitt Smith"	0.0627483
"Craig Ludwig"	0.0624794
McIver	0.061326
Tuggle	0.0612989
"Dwayne Goodrich"	0.0610862
"Derian Hatcher"	0.0600952
"JEVON KEARSE"	0.0598562
"Heath Irwin"	0.0597967
mixup	0.0587719
"Billy Davis"	0.0584592
"Henry Ford"	0.0577673
"Sergei Zubov"	0.0577374
"Michael Finley"	0.056384
"Todd Husak"	0.0551894
"Dick Jauron"	0.0538311
"Bruce Aven"	0.053517
"John Fox"	0.0533978
Teague	0.0525038
"Richard Matvichuk"	0.0519892
"Steve Beuerlein"	0.0511076
Intimidator	0.050857
"Ryan Dempster"	0.0507628
"Ken Hitchcock"	0.0505591
"James McKnight"	0.0499397
"Eric Davis"	0.0488341
"Dennis Johnson"	0.048792
"Ortege Jenkins"	0.0487351
Dunston	0.0482391
"Tony Dorsett"	0.0471429
"Ryan Roques"	0.0470361
"Sam Wyly"	0.0463083
Strickland	0.045942
Walbeck	0.0458418
"Dom Capers"	0.04483
triumvirate	0.0445464
Higginson	0.0439385
"Jere Lehtinen"	0.0434594
"Chan Gailey"	0.0428865
"Chris Warren"	0.042697
"Francisco Cordova"	0.0426597
"Roger Staubach"	0.0426207
"Ben Johnson"	0.0424467
Dellucci	0.0418679
"Bobby Estalella"	0.041275
twitching	0.0411934
"Walt Weiss"	0.0406327
wart	0.0404867
Cepeda	0.0403063
"Dave Wannstedt"	0.0402143
"Ernie Mills"	0.0401773
"Kevin Young"	0.0401306
libero	0.0401167
"Barbara Schwartz"	0.0400175
))
("Chad Kreuter" (desc 3265.85) (sims
"Angel Pena"	0.228118
"Paul LoDuca"	0.21329
"F.P Santangelo"	0.20703
"Devon White"	0.186498
"Paul Bako"	0.184463
"Einar Diaz"	0.182236
"Todd Hundley"	0.180428
"Mark Grudzielanek"	0.175587
"Eric Karros"	0.166706
"Eddie Taubensee"	0.165991
"Dave Hansen"	0.165605
"Kelly Stinnett"	0.164158
"Bill Haselman"	0.162117
"Shawn Green"	0.160532
"Ray Durham"	0.159199
"Tony Eusebio"	0.157625
"Todd Pratt"	0.155605
"Brad Ausmus"	0.15223
"Jose Vizcaino"	0.152197
"Kevin Elster"	0.15217
"Chris Widger"	0.151531
Kreuter	0.150742
"Adrian Beltre"	0.149465
"Brent Mayne"	0.148327
"Brook Fordyce"	0.145597
"Raul Mondesi"	0.145135
"Damian Miller"	0.14409
Cirillo	0.142284
Lankford	0.141386
"Jorge Fabregas"	0.140638
"Joe Girardi"	0.140121
"Mark Kotsay"	0.139922
"Paul Konerko"	0.139222
"Bengie Molina"	0.138432
"Matt Franco"	0.136948
"Ruben Rivera"	0.134943
"Gary Sheffield"	0.13435
"Mike Sweeney"	0.132378
"Carlos Lee"	0.130945
Rolen	0.129959
"Charles Johnson"	0.127199
"Alex Cora"	0.126555
"Sandy Alomar"	0.126516
"Preston Wilson"	0.125589
Abreu	0.125264
Varitek	0.124903
"Dan Wilson"	0.124618
"Todd Greene"	0.124557
"Eddie Perez"	0.124278
"Jeff Conine"	0.124108
"Phil Nevin"	0.123857
"Tom Lampkin"	0.123778
"Matt Luke"	0.123359
"Vladimir Guerrero"	0.122826
"Gregg Zaun"	0.122708
"Matt Lawton"	0.122043
"Brian Johnson"	0.121828
"Jermaine Dye"	0.121232
"Todd Hollandsworth"	0.121037
"Dean Palmer"	0.12071
Aurilia	0.120444
Vidro	0.120188
"Matt Walbeck"	0.119766
"Luis Lopez"	0.119069
"Pat Meares"	0.117944
"Geoff Jenkins"	0.11783
"Juan Castro"	0.117628
"Jason Varitek"	0.116879
"Trenidad Hubbard"	0.115571
"Tony Batista"	0.11524
Fullmer	0.115193
"Mike Lieberthal"	0.114148
"Melvin Mora"	0.114087
"Tim Bogar"	0.113339
"Greg Myers"	0.113312
"Jose Valentin"	0.113233
"Travis Lee"	0.113226
"Chad Curtis"	0.112548
"Dmitri Young"	0.111838
"Joe Randa"	0.111198
Randa	0.111043
"Eric Owens"	0.110357
"Bobby Abreu"	0.110204
"Jay Bell"	0.109619
"Neifi Perez"	0.109582
"Brian McRae"	0.109273
"Rickey Henderson"	0.109217
"Jose Hernandez"	0.108962
"Mark Loretta"	0.108941
"Tony Clark"	0.108696
"Scott Hatteberg"	0.107894
"Ben Grieve"	0.107848
"Fred McGriff"	0.107678
"Mark McLemore"	0.107414
Bautista	0.107388
"Craig Counsell"	0.107126
Bordick	0.106591
"Derrek Lee"	0.106515
"Bubba Trammell"	0.106062
Tatis	0.105512
"Marvin Benard"	0.105045
"Pat Burrell"	0.104987
"Darren Dreifort"	0.104933
"Jorge Posada"	0.104835
"Scott Spiezio"	0.10424
Grudzielanek	0.104226
Cora	0.103888
"Enrique Wilson"	0.10382
Higginson	0.103627
"Joe McEwing"	0.103554
"Jason Kendall"	0.103344
"Carlos Beltran"	0.103342
"John Mabry"	0.103283
Saenz	0.103263
"Scott Brosius"	0.103173
Karros	0.1028
"Bobby Estalella"	0.102715
"CARLOS HERNANDEZ"	0.102671
"Luis Gonzalez"	0.102514
"Ron Gant"	0.102357
"Mike Piazza"	0.102323
"Eric Young"	0.102211
"Frank Thomas"	0.102127
"Eric Gagne"	0.102037
"Tom Goodwin"	0.101904
"GERONIMO BERROA"	0.101493
"Carlos Delgado"	0.101345
"Kevin Young"	0.101204
"Tino Martinez"	0.100857
"Damian Jackson"	0.100707
"Miguel Tejada"	0.100604
Hundley	0.100245
"John Vander Wal"	0.100192
"Bruce Aven"	0.0999239
"Rico Brogna"	0.0998496
"Robin Ventura"	0.0997233
"Benny Agbayani"	0.0996493
"Ozzie Guillen"	0.0988847
Beltre	0.0988627
"Alex Gonzalez"	0.0984796
Alicea	0.0984334
"Wilton Guerrero"	0.0980115
"David Bell"	0.0976097
"Mike Caruso"	0.0972137
"Carlos Perez"	0.0971496
"Russ Johnson"	0.0971421
"Kevin Jordan"	0.0971358
"Javy Lopez"	0.097113
"Deivi Cruz"	0.0968532
"Marquis Grissom"	0.0968364
"Magglio Ordonez"	0.0967406
Sexson	0.0966192
"Carl Everett"	0.0964324
Konerko	0.0963562
"Rich Becker"	0.0960152
Alomar	0.0959887
"Chili Davis"	0.0958304
"Scott Rolen"	0.095387
"Warren Morris"	0.0951927
"Edgardo Alfonzo"	0.0951586
"Mike Bordick"	0.0951401
"Antonio Osuna"	0.0948591
"Lenny Harris"	0.0948186
"Brady Anderson"	0.0945219
"Wally Joyner"	0.0945131
"Orlando Palmeiro"	0.094491
Castilla	0.0944296
"Corey Koskie"	0.0944076
"Ron Coomer"	0.0942998
"Rich Aurilia"	0.0940848
"Roger Cedeno"	0.093951
"Gerald Williams"	0.0938322
Lawton	0.0937074
Beltran	0.0936589
"Luis Alicea"	0.0934531
"Mickey Morandini"	0.0934351
Segui	0.0933574
Brosius	0.0930958
"Luis Sojo"	0.0929975
"Quinton McCracken"	0.0929695
"Jeff Shaw"	0.0926793
Stinnett	0.0926635
"Tony Womack"	0.0924593
Giambi	0.0924279
"Jose Guillen"	0.0924226
"Darryl Hamilton"	0.0924071
"Sean Casey"	0.0922127
"Cristian Guzman"	0.0919396
Mondesi	0.0918283
"Tim Salmon"	0.0916131
"J.T Snow"	0.0913853
"Ricky Gutierrez"	0.0910802
"Adam Kennedy"	0.0907205
"Kevin Stocker"	0.0906347
"Manny Alexander"	0.090429
Sheffield	0.0903727
"Brian Daubach"	0.0903353
Spiers	0.0902999
Agbayani	0.0902699
Thome	0.090222
))
("Chad Morton" (desc 1380.32) (sims
"Sultan McCullough"	0.278784
"Windrell Hayes"	0.222332
"Karim Abdul-Jabbar"	0.197847
"Keith Brown"	0.188033
"John Avery"	0.187409
"Mike Cloud"	0.187037
"Charlie Garner"	0.175274
"Shaun Alexander"	0.169058
"Mike Van Raaphorst"	0.168728
"Jamal Lewis"	0.167721
"Trung Canidate"	0.164658
"Sedrick Shaw"	0.163208
"Carson Palmer"	0.161628
"Michael Wiley"	0.161198
"Byron Hanspard"	0.155798
"Chris Claiborne"	0.155328
"Jerome Bettis"	0.153311
"Skip Hicks"	0.153174
"John Fox"	0.148702
"DeShaun Foster"	0.147254
"Stephen Davis"	0.14639
"Tyrone Wheatley"	0.145842
"Thomas Jones"	0.143053
"Curtis Enis"	0.142512
"J.R Redmond"	0.142274
"Warrick Dunn"	0.133512
"Terry Allen"	0.130878
"Ricky Watters"	0.129623
"James Johnson"	0.129496
"Jermaine Lewis"	0.129456
"Fred Taylor"	0.128652
"Kareem Kelly"	0.123885
"Lawrence Phillips"	0.122242
"Brian Scalabrine"	0.12152
"Jarvis Turner"	0.120145
"Kevin Faulk"	0.119959
"Dorsey Levens"	0.118776
"R. Jay Soward"	0.115529
"Gary Brown"	0.115286
"Garrison Hearst"	0.115216
"Damon Huard"	0.114325
"Adrian Murrell"	0.114075
"Cecil Collins"	0.113624
"Chris Warren"	0.107576
"Ron Dayne"	0.107563
"Jeff Trepagnier"	0.105876
"Robert Edwards"	0.105737
"Brandon Granville"	0.10462
"Marcus Allen"	0.103951
"Edgerrin James"	0.101691
Toombs	0.0970386
"Robert Smith"	0.0922449
"Emmitt Smith"	0.0877326
"Aaron Williams"	0.0877174
"Curtis Martin"	0.0864793
"Rob Johnson"	0.0859127
"Eddie George"	0.0853263
Hardeman	0.0844555
"Thurman Thomas"	0.0842399
"Marshall Faulk"	0.0831914
"Ryan Roques"	0.0831198
"Leon Johnson"	0.0831066
"Rodney Peete"	0.0826984
"Bobby Newcombe"	0.0814243
"Kevin Williams"	0.08031
"Van Raaphorst"	0.0801737
"Trent Green"	0.0798653
"Tiki Barber"	0.0797909
"Sam Clancy"	0.0796473
"Anthony Johnson"	0.0788496
McCullough	0.07784
"Seth Etherton"	0.0773759
"James Stewart"	0.0766413
Faulk	0.0755726
"Walter Payton"	0.0754614
"Jamal Anderson"	0.0753261
"David Palmer"	0.0745355
"Terrell Davis"	0.0727314
"Herschel Walker"	0.0723278
"Tom Brady"	0.0721089
"JOHN FRIESZ"	0.0721015
"Jarious Jackson"	0.072036
flanker	0.0716678
"Jim Parque"	0.0713577
"Ricky Williams"	0.0707393
"Barry Sanders"	0.0686303
"Tony Graziani"	0.0685507
"Mike Alstott"	0.0683129
"Todd Husak"	0.0677228
"Ryan Kealy"	0.0670556
"Dedric Ward"	0.0666777
"BRIAN MEADOWS"	0.0664379
"Lamar Smith"	0.0664289
"Bill Ranford"	0.0662322
"Russ Ortiz"	0.0658601
"Jason Bell"	0.0648633
"Dave Brown"	0.0646464
"Ken Cloude"	0.0640613
"Jason Schmidt"	0.064045
"Tee Martin"	0.0635125
"Kent Graham"	0.0634046
"Keith Byars"	0.062403
"Geoff Sanderson"	0.0616877
"Drew Bennett"	0.0611373
"Brian Griese"	0.0610874
"Trent Dilfer"	0.0608442
"Eric Dickerson"	0.0604486
"Brian Moehler"	0.0601735
"Charlie Batch"	0.0600831
"Chris Carpenter"	0.0600289
"Jeff Weaver"	0.0597073
"Steve Parris"	0.0592938
Tanaka	0.059158
"Marcell Allmond"	0.0591039
"Jeff Garcia"	0.0589872
"Eric Milton"	0.0586073
Soward	0.0585214
"Jamie Storr"	0.0584096
Turgeon	0.0583641
"Jamey Wright"	0.0582503
"Marcus Outzen"	0.0582362
"Woody Williams"	0.0576393
"Gil Meche"	0.0574544
Scoonie	0.0567732
"Scott Zolak"	0.0563544
"Doug Pederson"	0.0562454
"Mark Gardner"	0.0562196
"Brett Tomko"	0.0560515
"Ryan Nece"	0.055929
"Shawn Estes"	0.0558686
"Brad Penny"	0.0556062
"John Snyder"	0.0554445
"Ty Detmer"	0.0550217
"Mac Suzuki"	0.0544325
"Bryce Florie"	0.0540834
"Dexter Coakley"	0.0537702
"Pedro Astacio"	0.0534668
"Jim Brown"	0.0534572
"Bill Pulsipher"	0.0532849
"Jack McDowell"	0.0530363
"Paul Abbott"	0.052911
"Derek Harper"	0.0528829
"Ken Hill"	0.0527229
"Ryan Glynn"	0.0526154
Abdur-Rahim	0.0526038
Zambrano	0.0525269
"Benji Gil"	0.0525133
"Larry Johnson"	0.052434
"Ryan Dempster"	0.052133
"Gil Heredia"	0.0521124
"Bo Jackson"	0.051952
"Kent Bottenfield"	0.0518051
"Neil O'Donnell"	0.0517523
"Gus Frerotte"	0.0515668
"Doc Rivers"	0.0515605
"Alan Henderson"	0.0512372
"volleyball player"	0.0511428
"Paul Byrd"	0.0511071
"Russ Johnson"	0.0509182
"Jarrod Washburn"	0.0509118
gamecock	0.0507424
"Tony Banks"	0.0507077
Mabry	0.0506945
"John Burkett"	0.0502355
"Javier Vazquez"	0.0500528
"Etan Thomas"	0.0500514
"Kirk Rueter"	0.0500366
"Ramon Ortiz"	0.049991
"Erik Kramer"	0.0499839
"Jon Kitna"	0.0499703
"Jim Harrick"	0.0499322
"Jennifer Gillom"	0.0499099
"Glenn Foley"	0.049651
Ceballos	0.0495985
"Norm Maracle"	0.0494533
"Ike Hilliard"	0.0493727
"Jaren Jackson"	0.0492343
MacInnis	0.0491006
Tait	0.0490919
"Jesus Sanchez"	0.0490522
Graziani	0.0490031
"Ron Villone"	0.0489822
Jacobsen	0.048882
"Ronnie Bradford"	0.0488385
"Kurt Abbott"	0.0485492
"Matt Bullard"	0.0484384
"Juwan Howard"	0.0484373
"Jon Lieber"	0.0483962
"Francisco Cordova"	0.0483473
"Tom Osborne"	0.0483085
"Manny Legace"	0.0481348
"Jose Jimenez"	0.0480397
"Pat Rapp"	0.0477445
"Jeff Blake"	0.0477399
"Alex Fernandez"	0.0477368
"Cory Paus"	0.0477119
Meares	0.0476005
"William White"	0.047463
"Odalis Perez"	0.0474511
"James Baldwin"	0.0474363
))
("Chad Pennington" (desc 1555.77) (sims
"Tom Brady"	0.146428
"Michael Vick"	0.139982
"Tee Martin"	0.134938
"Jarious Jackson"	0.132279
"Doug Johnson"	0.132147
"Todd Husak"	0.129621
"Tim Couch"	0.127543
"Brock Huard"	0.126778
"Shaun King"	0.123744
"Joe Hamilton"	0.121173
"Akili Smith"	0.121146
"Chris Weinke"	0.119197
"Daunte Culpepper"	0.1185
"Jim Druckenmiller"	0.117501
"Keith Smith"	0.117199
"Donovan McNabb"	0.116225
"Brian Griese"	0.11597
"Ty Detmer"	0.112823
"David Boston"	0.111286
"Cade McNown"	0.109718
"Ryan Leaf"	0.107967
"Damien Woody"	0.107792
"John Avery"	0.107238
"Kent Graham"	0.105888
"Ryan Kealy"	0.104999
"Dave Brown"	0.104959
"Chris Simms"	0.104679
"Michael Bishop"	0.104025
"Doug Pederson"	0.103728
"Shawn Marion"	0.102426
"Charlie Batch"	0.101171
"Major Applewhite"	0.100305
"Quincy Carter"	0.0999701
"Danny Wuerffel"	0.0990561
Applewhite	0.0974696
"Sebastian Janikowski"	0.0969549
"Leon Smith"	0.0969182
"Chris Claiborne"	0.0968838
"Drew Henson"	0.0961713
"Drew Brees"	0.0961567
"Damon Huard"	0.0956525
"Trent Dilfer"	0.0953496
"Keith Brooking"	0.094797
"Rich Gannon"	0.093729
"Drew Bennett"	0.0922119
"Etan Thomas"	0.0918249
"Peyton Manning"	0.0915372
"Ron Dayne"	0.0900976
"Thomas Jones"	0.0896564
"Ryan McCann"	0.0893124
"Ortege Jenkins"	0.0886771
"Phil Simms"	0.088584
"Mike Van Raaphorst"	0.0872777
"Al Harrington"	0.0872236
"John Tait"	0.0869161
"Bobby Newcombe"	0.0867714
"Steve McNair"	0.0865453
"Kerry Collins"	0.0859742
"Marcus Outzen"	0.0844778
"Trent Green"	0.0841692
"Peter Warrick"	0.0840176
"Jonathan Bender"	0.0835606
"Edgerrin James"	0.0834065
"John Fox"	0.082821
"Kenny Thomas"	0.0827566
"Paul Justin"	0.0820923
"Gus Frerotte"	0.081762
"Greg Ellis"	0.0815749
"Jamal Lewis"	0.0798979
"Devean George"	0.079855
"Patrik Stefan"	0.0798477
"Tony Banks"	0.0792041
"Andre Miller"	0.0790795
"Andre Wadsworth"	0.0790239
"Cory Paus"	0.0788048
Fiedler	0.0779986
"Erik Kramer"	0.0776074
"Elvis Grbac"	0.0773589
"Eric Zeier"	0.0772393
"Andy Katzenmoyer"	0.0771409
"Tony Graziani"	0.0760715
"Champ Bailey"	0.0760303
"Jeff George"	0.0755015
"Joe Montana"	0.0749948
"Ray Lucas"	0.0742144
"Bubby Brister"	0.0740932
"Dirk Nowitzki"	0.0737829
"Jake Plummer"	0.0736874
"Steve Beuerlein"	0.0736648
"Curtis Enis"	0.0735378
"Glenn Foley"	0.0731276
"Scott Mitchell"	0.0729975
"Pat Burrell"	0.0727453
"Flozell Adams"	0.0725748
"Ebenezer Ekuban"	0.0723597
"Dwayne Goodrich"	0.0721458
Druckenmiller	0.0721003
"L.J Shelton"	0.071736
"Mike Bibby"	0.0708329
"LaVar Arrington"	0.0707903
"Mark Madsen"	0.0706349
"Jumaine Jones"	0.070529
"Torry Holt"	0.0704725
"Randy Moss"	0.0701726
"Jeff Weaver"	0.0694319
"Brad Johnson"	0.0687093
"Kevin Faulk"	0.0682578
"JOHN FRIESZ"	0.0680062
"Rodney Peete"	0.0678535
"Raef LaFrentz"	0.0675651
"Bobby Hoying"	0.0673186
"Rick Mirer"	0.067129
McNown	0.0669241
"Dimitrius Underwood"	0.0663204
"Jason Williams"	0.0659455
"Dat Nguyen"	0.0658363
"Jason Fabini"	0.0656491
"Terry Bradshaw"	0.0655729
"Roger Staubach"	0.0654395
"Jeff Garcia"	0.0652843
"Jason Terry"	0.0652777
"Jim Harbaugh"	0.0647177
"Danny Kanell"	0.064677
"Trung Canidate"	0.0644502
"Tebucky Jones"	0.0644348
"Brett Hinchliffe"	0.0644047
"Australian Mark Philippoussis"	0.0641824
"Jason Garrett"	0.0640702
"Carson Palmer"	0.0631059
"Wane McGarity"	0.0630838
"Ed Yarnall"	0.063081
"Paul Pierce"	0.0623284
Griese	0.0620526
"Jim Kelly"	0.0618613
Brees	0.0616915
"Vinny Testaverde"	0.0616811
"Ricky Williams"	0.0615897
"Tony Simmons"	0.0608022
"Chris Chandler"	0.0606773
"Pat Garrity"	0.0602522
"JEVON KEARSE"	0.0596695
"Shaun Alexander"	0.0594042
Briere	0.0591142
"Randall Cunningham"	0.059102
"Manny Malhotra"	0.0590591
"Rob Johnson"	0.0589462
Detmer	0.0588664
"Warren Moon"	0.0587949
"Michael Olowokandi"	0.058273
phenoms	0.058265
"Jack Kemp"	0.0578537
Kanell	0.05785
"Peerless Price"	0.0576005
"Jeff Blake"	0.0570815
"Kordell Stewart"	0.0569114
"Robert Edwards"	0.0567907
"J.R Redmond"	0.0562978
Mirer	0.0562216
"Charlie Ward"	0.0561116
"Robert Traylor"	0.0560823
"Russ Springer"	0.0559889
"Matt Santangelo"	0.0559772
"Solomon Page"	0.055973
"Doug Flutie"	0.0559502
"Johnny Unitas"	0.0556475
"Scott Zolak"	0.0554217
"Wally Szczerbiak"	0.0553211
"Ron Artest"	0.0552855
"Michael Dickerson"	0.0551539
"Randall Simon"	0.055099
"MaliVai Washington"	0.0550855
"Bruce Chen"	0.0545854
"Brett Favre"	0.0544628
McNabb	0.0543984
"Dan Marino"	0.0541361
"Michael Wiley"	0.0540723
"Mitch Meluskey"	0.0540341
"American Chanda Rubin"	0.0538161
"Neil O'Donnell"	0.0536452
"Tommy Bowden"	0.0535662
"Vladimir Stepania"	0.0535287
"J.D Drew"	0.0534778
"Courtney Brown"	0.0530262
"John Halama"	0.0530012
Lue	0.0526751
"Wilton Veras"	0.0524604
"Norm Maracle"	0.0523905
"Tyronn Lue"	0.0523299
Peyton	0.0522289
"Jon Kitna"	0.0521523
Weinke	0.0517874
"Buddy MacKay"	0.0513874
"Jose Jimenez"	0.0511455
"Baron Davis"	0.0511135
"Elton Brand"	0.0509193
"Eddie House"	0.0507917
"Fred Taylor"	0.0505356
"Antonio Daniels"	0.0503286
"Otis Smith"	0.0502897
Grbac	0.0501585
))
(Chadwick (desc 1218.71) (sims
Naumann	0.138064
Bubb	0.135449
Manley	0.132066
Flanagan	0.125785
Finkel	0.117354
Advani	0.113612
Wolfson	0.109712
Geiger	0.108445
Difrancesco	0.107865
Hauser	0.10564
Solis	0.104222
Scharping	0.104175
Singson	0.102619
Samuelson	0.102611
Lamont	0.101887
Goossen	0.101153
Neeman	0.100304
Kimble	0.0999905
Rosenblatt	0.0984396
Wilkens	0.0983053
Reinsdorf	0.0981991
Hecht	0.098191
BNFL	0.0981368
Magaziner	0.0974923
Ruehe	0.0972214
"administration official"	0.0964381
Rosenthal	0.0960126
Prewitt	0.0959198
Aventajado	0.0958748
Skiles	0.0956841
Kennard	0.0951251
Caddell	0.0949256
Murrell	0.0941229
Sherrill	0.0938425
Hamill	0.0936172
TALBOT	0.0935588
Brazile	0.0935322
Lipponen	0.0935213
Troussier	0.0933364
Dunleavy	0.0932354
Zadornov	0.0930913
Dobbs	0.0928948
Milbury	0.0928576
Burleigh	0.0923263
Strauss-Kahn	0.0919263
Dowd	0.0918714
Croshere	0.091603
Henning	0.0915666
Eizenstat	0.0914063
Soyinka	0.0913548
Pollack	0.0909642
Mendez	0.0905015
Garcetti	0.0904737
Kyl	0.0903073
Hoddle	0.0900311
Bonner	0.0895467
Lafleur	0.0891829
Ainge	0.0889014
Beazley	0.0884038
Padilla	0.0883477
Gullit	0.0882888
Zucker	0.0880773
Koskinen	0.0874329
Schmid	0.0870908
Wolfensohn	0.0869951
Rubinstein	0.0869497
McCormick	0.0869383
Zarb	0.0869246
Joklik	0.0868017
Sponeck	0.0865506
Cianci	0.0864813
Beckwith	0.0864765
Cashman	0.0861154
Meissner	0.0860176
hodgson	0.0859358
Sununu	0.0856273
McDonough	0.0854374
Margolis	0.0853172
Schottenheimer	0.0849262
Reimer	0.0847471
Tran	0.0847375
Zacarias	0.0846995
Hirst	0.0846177
Clements	0.0841355
Lundberg	0.0838572
Rossotti	0.0836315
Alatas	0.083315
Fabius	0.0830299
Hartley	0.082964
Reinhardt	0.0829393
Burt	0.0828834
Tsang	0.0827377
Najera	0.0826177
Cota	0.0824699
Ebersol	0.0824358
Okada	0.0823667
Carollo	0.0823485
Ciampi	0.0822485
Zuckerman	0.0822482
Kumar	0.0821736
Camacho	0.0821658
LaPierre	0.082165
Silverstein	0.0821348
Kulikov	0.0819129
Ackerman	0.0815383
Conroy	0.0814902
Blatter	0.0814743
Brinkley	0.0814488
Ovitz	0.0808843
Kaye	0.0808509
Cremins	0.0807883
Posner	0.0806255
Thayer	0.0804395
Hines	0.0804294
Lamberth	0.0803659
Waigel	0.0803447
Markovic	0.0801818
Finney	0.0801178
Kyprianou	0.0797537
Sather	0.0795918
Polynice	0.0794658
Gullikson	0.0794014
Whitsitt	0.0792853
Ruggiero	0.0792796
Echols	0.0791628
Bakaly	0.0791249
Fieger	0.0790832
DeFrantz	0.0789078
Sheehy	0.0788669
Huizenga	0.0788666
Erving	0.078749
Popovich	0.0786871
"Carlos Salinas"	0.0786455
Gogel	0.078192
Farber	0.0781812
Betts	0.0780652
Leavitt	0.0780587
Sapp	0.0780191
Verney	0.0779527
Hunsicker	0.0772369
Heinrichs	0.0772165
Vance	0.0771692
Belo	0.0771609
Feldman	0.0771223
frist	0.077112
Alderson	0.0768661
Penders	0.0766958
Lawson	0.0766834
Ponciano	0.0766793
Rubenstein	0.0766725
Juppe	0.0765877
Cortines	0.0765565
Wellstone	0.0764791
Gosper	0.0763296
Riordan	0.0763131
Rothenberg	0.0763025
Jobe	0.0762106
Wasserstein	0.0760261
Rongen	0.0760152
Fernandes	0.075671
Feuer	0.0755051
McMichael	0.0755009
Neff	0.0754875
Grunwald	0.0754705
Guthridge	0.0754433
Yadav	0.07543
Santorum	0.0754009
Salazar	0.0753849
Marineau	0.0752584
Sturm	0.075223
Rutherford	0.0751526
Rashid	0.0749729
Noonan	0.0748497
Valenzuela	0.0744951
Marinovich	0.0743528
Chao	0.0743422
Andreessen	0.0743358
Sensenbrenner	0.074257
Contreras	0.0742548
Haskins	0.0742008
Sharma	0.0741868
Sommer	0.0740862
McCray	0.0740584
Holley	0.0740519
Cleland	0.0739806
Pelosi	0.073884
Ganassi	0.0738801
Ferrer	0.0738061
Mikhailov	0.0737907
Massey	0.0735547
Rawabdeh	0.0735321
Seanez	0.0734054
Conway	0.0733615
"La Russa"	0.0733097
Solich	0.0732586
Wasserman	0.0730822
Glickman	0.0730591
McQueen	0.0730096
Abernathy	0.0730061
Indyk	0.0729113
))
(chaebol (desc 2468.27) (sims
chaebols	0.287557
conglomerate	0.140599
"Daewoo Group"	0.135735
Daewoo	0.126937
Lg	0.122609
Samsung	0.12228
"Hyundai Group"	0.120452
shipbuilder	0.116982
Hyundai	0.11302
"car maker"	0.0982018
carmakers	0.0941621
"state enterprise"	0.0932791
"Vivendi SA"	0.0887685
SOEs	0.0804811
"life insurer"	0.0793017
SOE	0.0783921
"state-owned enterprises"	0.0780299
"margin call"	0.0760602
"brokerage house"	0.0758065
snakehead	0.0748289
"auto maker"	0.0740561
SEZs	0.0736696
"building society"	0.0720729
"Russian bank"	0.0720465
automakers	0.071621
"auto company"	0.0713149
"electronics company"	0.070784
"Bertelsmann AG"	0.0706497
"shipbuilding industry"	0.0701788
meatpackers	0.0695443
refiner	0.0687941
"Learning Company"	0.067902
"defense contractor"	0.0675796
"Islamic Jihad"	0.0671481
Sidanko	0.0668126
"De Beers"	0.0655569
Arab-American	0.0655127
"steel company"	0.0654046
"Special Economic Zones"	0.0651659
carmaker	0.0649691
"semiconductor maker"	0.0646926
transnationals	0.0640184
"minor-league team"	0.0638545
vote-getters	0.0635111
"broadcasting company"	0.0632612
"Hollywood studio"	0.0627467
agribusiness	0.0625886
"food company"	0.0615131
oligarch	0.0612149
Yukos	0.0609999
maquiladoras	0.0609911
wideouts	0.0598349
toymaker	0.0587835
"investment house"	0.0587798
ECNs	0.0586143
"home builder"	0.0585651
"monetary system"	0.0576754
QBs	0.0575385
"banking industry"	0.0573817
"Cendant Corp."	0.0572581
"department store chain"	0.0570764
"Revolutionary Guards"	0.0568652
"trucking company"	0.0561729
"National Intelligence Service"	0.0560781
aldermen	0.0556186
LVMH	0.0553848
"entitlement program"	0.0553365
Dreyer	0.0551728
automaker	0.0551593
issuers	0.0551403
Kia	0.0549669
"New Korea Party"	0.0548548
"finance company"	0.0548464
"economic system"	0.054723
"industrial enterprise"	0.0546727
brokerage	0.054598
multinationals	0.0540995
"private foundation"	0.0537994
steelmaker	0.05365
"car manufacturer"	0.0533171
"free radical"	0.053276
Televisa	0.0532315
Kamajors	0.0531171
"break of serve"	0.0531072
"business organization"	0.0527618
"retail chain"	0.052357
AXA	0.052278
TYCO	0.0521032
"Pepsico Inc."	0.0519617
"Christian church"	0.0516672
"News Corp."	0.0515337
"power company"	0.0514404
eateries	0.0513742
"Independent Electoral Commission"	0.0513063
"radio telescope"	0.0510942
"drainage area"	0.0510632
"benefit program"	0.0509385
"civil service"	0.0507492
Vivendi	0.0504807
"consumer loan"	0.0503141
Sunni	0.049951
"minority shareholder"	0.0499495
"Protestant denomination"	0.0499276
"debt issue"	0.0498203
"Mannesmann AG"	0.0497647
highflier	0.0496663
"brokerage firm"	0.0496199
"medical institution"	0.049477
Sumitomo	0.0494075
"Kim Dae Jung"	0.0491263
examinees	0.0490592
policymaker	0.0490399
JVC	0.0489163
chipmaker	0.0488883
carnivore	0.0488294
"health maintenance organization"	0.0487746
"arms industry"	0.0486754
gringo	0.0486488
brewery	0.0486132
"coal industry"	0.0485051
bottlers	0.0484563
Arianespace	0.0484357
PBC	0.0482309
"bus company"	0.0480854
"cable operator"	0.0480387
"credit bureau"	0.0479943
shuttlers	0.0478596
"Agenda @@@@"	0.0477
pizzeria	0.0476588
"community newspaper"	0.0476425
parastatals	0.047631
"container ship"	0.0475068
hauler	0.0475064
debtor	0.0474836
"insurance firm"	0.0473875
Furbys	0.0473319
Chevys	0.0472779
aerospace	0.0471373
NCEC	0.0471161
"back office"	0.0470139
"base runner"	0.0469563
fibroids	0.0468839
Bundesbank	0.0467718
ISPs	0.0467597
Uunet	0.0464513
corporates	0.0464119
metropolises	0.0463367
"Cy Young Awards"	0.0462986
"work group"	0.0461782
"market maker"	0.0461643
DAP	0.0461098
"trucking industry"	0.0460642
Bertelsmann	0.0460525
"banking company"	0.0457128
"accounting firm"	0.0455025
skydiver	0.045483
"credit union"	0.0454199
"toy retailer"	0.0453604
NRM	0.0451715
spender	0.0451523
MTA	0.0451273
"Hutchison Whampoa"	0.0449689
emitter	0.0449586
"New York Democrats"	0.0446728
"drug maker"	0.0443281
MDMA	0.0441952
Unilever	0.0441796
FARC	0.0441747
"agenda item"	0.0441163
"social organization"	0.0440731
SFX	0.0439916
Conrail	0.043963
"paramilitary organization"	0.0439571
plunger	0.0439392
"Central American nation"	0.0439212
ref	0.043822
"oil producer"	0.0435969
"law officer"	0.0435904
"trial lawyer"	0.0435766
"two pitchers"	0.0435516
"Western European"	0.0434771
filers	0.0434715
"venture capitalist"	0.0434527
ABS-CBN	0.0433777
"mainframe computer"	0.043276
"educational institution"	0.0432597
Slav	0.0431682
goal-scorer	0.0431248
"investment trust"	0.0430947
par-@s	0.0430847
foundry	0.0426159
Futurist	0.0425365
NTT	0.0425167
"publishing company"	0.0424185
"tax system"	0.0424073
Media-MOST	0.0423916
PRD	0.0423488
Arkan	0.042304
"tire maker"	0.0422346
"commercial enterprise"	0.0421161
))
(chaebols (desc 1104.81) (sims
chaebol	0.287557
shipbuilder	0.116614
"semiconductor maker"	0.103663
carmakers	0.0973552
"Special Economic Zones"	0.0881666
vote-getters	0.0817795
Daewoo	0.0799864
"car maker"	0.0789542
meatpackers	0.0776423
Lg	0.0773188
SEZs	0.0768342
"Kim Dae Jung"	0.0767298
"minor-league team"	0.0752183
"private foundation"	0.0742152
issuers	0.0701228
"Learning Company"	0.0699237
"life insurer"	0.0672736
Dreyer	0.0671973
"power company"	0.0641242
drugmakers	0.0639823
Hyundai	0.0639622
"New York Democrats"	0.0638412
"electronics company"	0.0636402
"two pitchers"	0.0626923
"auto company"	0.0619681
Protas	0.061121
"steel company"	0.0610721
"Russian bank"	0.0610482
"home builder"	0.0608094
"closed-end fund"	0.0601595
pizzeria	0.0596421
"building society"	0.0596323
"Hao Haidong"	0.0585961
"investment house"	0.0581001
goal-scorer	0.0578394
multinationals	0.0572228
"oil producer"	0.0570886
Portnoy	0.0570071
"three pitchers"	0.0566886
"defense contractor"	0.0566766
goalscorer	0.0566474
"welfare worker"	0.0565935
"Petroleum Exporting Countries"	0.0560903
trawler	0.0558033
CNOOC	0.0549254
corporates	0.0548712
"bus company"	0.0548265
"Liberal Democrats"	0.0547129
shuttler	0.0544457
"Pepsico Inc."	0.0535069
fife	0.0534074
"Nomura Securities Co."	0.0532632
examinees	0.0531999
globetrotter	0.0531502
carmaker	0.0530297
"two lines"	0.0530149
"Islamic Welfare Party"	0.0529411
"shipping company"	0.0528818
wideouts	0.0525972
"altar boy"	0.0522505
"funeral home"	0.0522454
SOE	0.0516188
"private corporation"	0.0515976
Barrionuevo	0.0514856
transnationals	0.0512871
whistle-blowers	0.0511859
"New York Republicans"	0.0511276
chipmakers	0.0509247
EX-COMMUNISTS	0.0506846
"toy retailer"	0.0506523
"tax income"	0.0502303
QBs	0.0500482
motorboat	0.0496197
homebuilder	0.0493138
"brokerage house"	0.0490898
shuttlers	0.0490615
"Bertelsmann AG"	0.0490384
bottlers	0.0489212
spender	0.0487424
"boarding house"	0.0482683
Korman	0.0481935
"Law Lords"	0.0477893
VCs	0.0475757
emitter	0.0473914
NTT	0.0471541
policymaker	0.0471518
Pontiacs	0.0471086
constructor	0.0470647
"Medicare HMO"	0.0470601
"commercial enterprise"	0.0468533
"five spot"	0.0468047
decision-makers	0.0467149
"medical institution"	0.0466442
bodysuits	0.0464716
"corporate investor"	0.0464356
Concordes	0.0464325
takeaways	0.0463351
"business organization"	0.0463063
deflector	0.0462959
"auto manufacturer"	0.0462843
Balaguer	0.0457213
CBC	0.0456425
parastatals	0.0455696
"local department"	0.0455556
lifter	0.0453752
"credit bureau"	0.045034
"Indonesian Military"	0.0446394
Lari	0.0445156
speller	0.0443704
"tire maker"	0.0441968
Jong	0.044098
prelate	0.0440507
"member nation"	0.0440071
"shipbuilding industry"	0.0438995
co-sponsors	0.0437261
"Monetary Policy Committee"	0.0434633
skiiers	0.0434017
"country of origin"	0.0433997
businesswomen	0.0433985
"minority shareholder"	0.0432844
"dairy farm"	0.0432118
"opera company"	0.0430895
"Airport Authority"	0.0430746
hailstone	0.042838
AutoNation	0.0427456
"ordinary shares"	0.0423852
"retail operation"	0.0423072
petitioner	0.0421955
"British Opens"	0.042047
money-winner	0.0419749
"long-distance runner"	0.0418586
"container ship"	0.0418528
"Bosnian Croats"	0.0417636
"annual payment"	0.0417005
"Legend Group"	0.041689
"Branch Davidians"	0.0416104
"banking company"	0.0414977
"Hollywood studio"	0.0414784
placers	0.0414043
Latvians	0.0412871
"Organization of Petroleum Exporting Countries"	0.0412651
conservationist	0.0412466
"retail chain"	0.041225
"aircraft order"	0.0412156
payer	0.0411678
"bank failure"	0.0410007
"lending institution"	0.0409883
"National Union for Total Independence"	0.0409572
"tax bracket"	0.0409492
"Baby Bells"	0.0408996
"state-owned enterprises"	0.0408808
par-@s	0.0408504
"fox hunting"	0.0408382
RJR	0.0408096
"telephone operator"	0.0407519
"Texas Democrats"	0.0407118
"parcel of land"	0.0406357
toymaker	0.0406323
"Air Lanka"	0.0406257
"credit union"	0.0404399
"farming area"	0.0403152
"U.N. agencies"	0.0403149
"social event"	0.0402362
Asprilla	0.0400645
))
(Chafee (desc 5424.9) (sims
Jeffords	0.23516
Snowe	0.176287
Santorum	0.17311
Lautenberg	0.172074
Ashcroft	0.16825
Gorton	0.145993
Coverdell	0.145542
"John Chafee"	0.139143
Dewine	0.135576
Gramm	0.135461
Kyl	0.131432
Thurmond	0.12758
Brownback	0.121011
Moynihan	0.1189
Hagel	0.11811
Inhofe	0.117712
Grassley	0.113432
"Gordon Smith"	0.112879
Shelby	0.111781
Difrancesco	0.110742
McConnell	0.108718
Nickles	0.107726
frist	0.107459
Lott	0.106295
Feinstein	0.105045
Lugar	0.104329
Murkowski	0.103176
D'Amato	0.102334
Hutchison	0.102092
Allard	0.100412
collins	0.0988534
Markey	0.0988097
Voinovich	0.0985244
Kerry	0.0978861
Domenici	0.0970637
Danforth	0.0964121
Kasich	0.0961451
Blackmun	0.0957864
Torricelli	0.0953725
"Paul Coverdell"	0.0941752
Ivester	0.0933077
Dingell	0.0932219
Papandreou	0.0929351
McCollum	0.0922263
Nkabinde	0.0920461
Zarb	0.0896656
Dodd	0.0896075
Maslyukov	0.0895279
Hutchinson	0.0894563
Taft	0.0893562
Trudeau	0.0889806
Abraham	0.0889645
Mineta	0.0888627
Rudenstine	0.0886906
"Rick Santorum"	0.0883985
Doggett	0.0880552
Cuomo	0.0877298
Mack	0.087584
Tauzin	0.0867342
Isakson	0.086571
Cornyn	0.0864208
Nethercutt	0.085821
Masire	0.0858207
Roth	0.0857649
Marineau	0.0857571
Schaeuble	0.0855382
Helms	0.0855033
Archer	0.0854305
SHUSTER	0.085001
Shays	0.0849545
Kolbe	0.0848764
Quackenbush	0.08482
Kerrey	0.0846454
Leavitt	0.0845194
Bunning	0.0835877
Cooke	0.0835607
Schumer	0.0830248
Wellstone	0.0828804
Rendell	0.0827769
Lowey	0.0824924
Whitman	0.0823747
Rowland	0.0820869
Mandelson	0.0817613
Leahy	0.0816958
Tudjman	0.081646
Wyden	0.0812293
Vallone	0.081125
Lieberman	0.0804976
Rogan	0.0802925
Riordan	0.0796882
"Richard Lugar"	0.0796754
Bulatovic	0.0795863
"Jeb Bush"	0.0793318
Levin	0.079014
Quayle	0.0788912
Thompson	0.0786944
Nyerere	0.0784334
Carnahan	0.0783237
Rossotti	0.0778895
Byrd	0.0778815
Gregg	0.0777523
Pataki	0.0776674
Cochran	0.0776292
Bruno	0.0775065
Lungren	0.0774841
Eizenstat	0.0772522
Craig	0.0770307
Fordice	0.0765495
Hyde	0.0764343
Lim	0.0759908
Katsav	0.0759816
Landry	0.0757279
Florio	0.0756744
Fischer	0.0756487
Daschle	0.0755424
Coelho	0.0754697
Pelosi	0.0754427
Harkin	0.0753669
Assad	0.0746801
Livingston	0.0744751
DOLE	0.0744027
Wiggins	0.0741688
Hastert	0.0741684
Postel	0.0740458
Ciampi	0.0738047
Cellucci	0.0737488
Daley	0.0736265
Flanagan	0.0736029
Feingold	0.073534
Nadler	0.0733608
Hoffa	0.0733294
Gilman	0.0731711
"Mike DeWine"	0.0731315
"Kay Bailey Hutchison"	0.0730445
"George Voinovich"	0.0728294
"Barry Goldwater"	0.072822
Mbeki	0.0727942
Satcher	0.0726845
Choate	0.072684
Mahuad	0.0726498
Robb	0.0725225
"Daniel Patrick Moynihan"	0.0725125
Starovoitova	0.0724796
Giuliani	0.0724689
Mandela	0.0724382
FAIRCLOTH	0.0722555
Kasyanov	0.0722124
Farrakhan	0.0721317
Kaunda	0.0720067
Gilmore	0.0719585
Skiles	0.0718456
Campbell	0.0718188
Spitzer	0.0716401
Boehner	0.0714321
Kohl	0.07141
Engler	0.0712731
Perrot	0.0709172
Prewitt	0.0708847
Shaheen	0.0708543
"Slade Gorton"	0.0705917
Harrelson	0.0705546
Rylander	0.0704804
Cheney	0.0703667
Houghton	0.0703129
Safir	0.0702222
Hauser	0.0701536
Meissner	0.0700233
"James Jeffords"	0.0699533
Obuchi	0.0698821
Phills	0.069812
Nebiolo	0.0696833
specter	0.069597
Molinari	0.0694655
"Arlen Specter"	0.069438
Camacho	0.0693467
Greenberg	0.0693172
"John Warner"	0.0692801
"Richard Shelby"	0.0691859
Maskhadov	0.0691637
Cardoso	0.0691329
O'Connor	0.069083
Duisenberg	0.0689075
"Orrin Hatch"	0.0688668
Shevardnadze	0.0687634
Samaranch	0.0686379
Wolfson	0.0686235
Rangel	0.0686071
Cohen	0.0685954
Peres	0.0684606
Gotti	0.0684548
Zadornov	0.068453
Mikhailov	0.0684212
Ortega	0.0683708
Lafontaine	0.0681845
MIYAZAWA	0.0680544
Menem	0.0680245
Siegelman	0.0680093
Bogle	0.0677787
Zeroual	0.067692
Bliley	0.0676056
))
(chaff (desc 1023.5) (sims
"neutron bomb"	0.0726797
decoy	0.0647397
cob	0.0599498
oilseed	0.0528636
bomblets	0.0526399
Hearn	0.0510928
rapeseed	0.0498835
Gaither	0.0496139
"life raft"	0.0487272
"battle line"	0.048007
"oil slick"	0.046417
"chemical compound"	0.0459923
bulgur	0.0444142
"John Vanbiesbrouck"	0.0444003
Radon	0.044293
Chinese-Indonesians	0.0437188
impurity	0.0431663
verbiage	0.0428996
"Hainan Island"	0.0428256
"bamboo shoot"	0.042456
"interest expense"	0.0424015
dampness	0.0423673
gnocchi	0.0423235
"third line"	0.0420754
fescue	0.0418572
contaminant	0.0415376
"Siamese twin"	0.0412996
bluefin	0.0408003
husk	0.04076
smooch	0.0404347
"shipwreck survivor"	0.040196
))
(Chagall (desc 2027.51) (sims
Klee	0.34843
Gauguin	0.306514
Leger	0.300802
Matisse	0.280539
Manet	0.267444
Bonnard	0.262686
Cezanne	0.249732
Modigliani	0.245981
Renoir	0.245459
Giacometti	0.240038
Mondrian	0.239663
miro	0.236018
"van Gogh"	0.23115
Gogh	0.227557
Kandinsky	0.219381
Picasso	0.208945
Degas	0.19812
Monet	0.196373
Duchamp	0.158164
Calder	0.157655
Rothko	0.143204
Goya	0.137441
Dali	0.126741
Kooning	0.110482
"Norman Rockwell"	0.109311
Ingres	0.106857
Warhol	0.105328
Michelangelo	0.10332
Delacroix	0.101174
Rembrandt	0.0994813
Chardin	0.0968938
Vermeer	0.093289
Picassos	0.0909915
Ofili	0.0861149
"Sistine Chapel"	0.0858607
waterlily	0.0844416
Heade	0.0835173
"Jackson Pollock"	0.0827373
Rubens	0.0819474
Ernst	0.0791974
"Man Ray"	0.0787279
"Jasper Johns"	0.0749472
Sargent	0.0738147
"old master"	0.0725395
Pollock	0.0723691
"Blue Dog"	0.0722888
"Salvador Dali"	0.0721131
"Van Dyck"	0.064361
O'Keeffe	0.0597177
gouache	0.0563811
Velazquez	0.0562533
"Dora Maar"	0.0560227
Pushkin	0.0531035
Impressionism	0.0523445
"El Greco"	0.0499774
surrealist	0.0499113
Kinkade	0.0477261
Ellington	0.0464253
"Andy Warhol"	0.0463752
Rabe	0.0449435
Rodin	0.0446288
Lichtenstein	0.044491
Parrish	0.0439046
"Vincent van Gogh"	0.0435066
Freud	0.0431693
"Georgia O'Keeffe"	0.0411611
Flemish	0.0410987
"John Lennon"	0.0406359
"grim reaper"	0.0403948
))
(chagrin (desc 5593.72) (sims
dismay	0.184109
consternation	0.17245
amazement	0.12953
ire	0.107966
annoyance	0.0998357
hackle	0.0905594
astonishment	0.0892484
Wrath	0.0889912
urging	0.0882997
courting	0.0729977
detriment	0.0709167
displeasure	0.0706209
coterie	0.0694294
puzzlement	0.0638428
embarrassment	0.0610474
sorrow	0.060426
irritation	0.0601739
discomfort	0.0598818
envy	0.0589145
disgust	0.058889
sadness	0.0544457
bewilderment	0.0542033
perplexity	0.0538722
eagerness	0.0531979
scorn	0.0528852
satisfaction	0.0526742
indignation	0.0514164
anguish	0.0511946
urgings	0.0506511
solicitude	0.0505891
enmity	0.050411
disquiet	0.04995
reluctance	0.0494302
uneasiness	0.0492504
resentment	0.0491267
disdain	0.0489002
disillusionment	0.0487277
trepidation	0.0483087
wariness	0.0479629
regrets	0.0479166
admiration	0.0467813
grief	0.0466582
glee	0.0462546
scepticism	0.0454354
pity	0.0453902
"given name"	0.0453848
exasperation	0.0450606
amusement	0.0449538
bitterness	0.0449247
cadre	0.0448715
remorse	0.0445152
adoration	0.0443158
behest	0.0443108
disapproval	0.0438312
busload	0.0431645
nervousness	0.0425179
cynicism	0.041627
handiwork	0.0413877
roomful	0.0413161
elation	0.0412262
surname	0.0411951
hilarity	0.0411432
desperation	0.0403863
revulsion	0.0402211
"core group"	0.0401446
misgiving	0.0400477
))
(Chai (desc 1054.84) (sims
Pu	0.110579
Kasoulides	0.102827
chamomile	0.0942352
Rong	0.0887501
Meguid	0.0855946
Zou	0.0851807
MOCHA	0.0832811
Kono	0.0822583
Po	0.0793571
Jing	0.0784785
Rifkind	0.0779963
Lipton	0.0769237
Shamshad	0.075427
Iliescu	0.0745448
Rodionov	0.0744839
Harcourt	0.0744825
ai	0.0736445
Jovanovic	0.0735613
Singson	0.0724948
Shaath	0.0724423
Nzo	0.0718585
Tarawneh	0.0716459
Jayakumar	0.0715755
Velayati	0.0704692
Azad	0.0701319
Luong	0.0695579
Ruehe	0.0694047
Gerstner	0.0688273
Ikimi	0.0674517
Tsang	0.0667151
Cem	0.0659403
wen	0.0659026
Jia	0.0655049
Arens	0.0651241
Zeng	0.0645734
Xiang	0.063878
Brittan	0.0635114
Yastrzhembsky	0.0632807
Kyprianou	0.0629864
Allchin	0.0629777
Moratinos	0.062952
Dar	0.0629076
Klima	0.0627009
Pickering	0.0626598
Xiao	0.0625071
dang	0.0624675
Stoyanov	0.0624416
Sahnoun	0.0618278
Hu	0.0614751
Zhou	0.0613142
Tian	0.0611752
Lessig	0.0610713
Vollebaek	0.0609295
Bao	0.0606057
Myhrvold	0.0602718
Bruton	0.0602454
Pustovoitenko	0.0602209
Siazon	0.0598091
Diouf	0.0591477
Bolger	0.0591269
Cui	0.0590559
Schaeffer	0.058644
Ben-Ami	0.0585655
Arbour	0.0585115
Qiao	0.0584029
Postol	0.0581213
Kremer	0.0579229
Bulatovic	0.0576132
Hao	0.0570889
Phieu	0.0570864
Rosenbaum	0.0564712
Sumaye	0.0564602
Karlsson	0.0562484
Guterres	0.0561082
Cai	0.0558705
Shi	0.05585
Khalil	0.0557741
guo	0.0557393
Fu	0.0557119
Guan	0.055677
Lipponen	0.0555079
Musa	0.0554872
Boueiz	0.0553742
Rudman	0.0550226
MTI	0.05496
Chu	0.0549273
Lugar	0.0541141
Mustafa	0.0541104
Roberson	0.0540232
Khai	0.0539549
Ruggiero	0.0536138
Nujoma	0.0533599
Moeller	0.0533286
Insulza	0.0532626
Nasrallah	0.0531818
Cooley	0.0531299
Sha	0.0529313
Bellamy	0.0527961
Yitzhak	0.0527714
Kurth	0.052733
Chao	0.0525138
Meles	0.0521962
Cao	0.0521123
Nazarbayev	0.0520078
Kato	0.0517215
Chappell	0.0517049
TDB	0.0516459
al-Sahaf	0.0514786
Luo	0.051385
Goh	0.0510658
Cleary	0.0510478
Bambang	0.0508707
Blyth	0.0507993
"Alexander Hamilton"	0.0507853
"Xie Zhenhua"	0.0507561
KA	0.0506827
Severino	0.0506476
Zhao	0.0505437
Benedetti	0.0504702
Juma	0.0502936
Chissano	0.0501584
Surin	0.0501287
Sung	0.0500926
Alatas	0.050041
Muoi	0.0500391
ISTAT	0.0500362
Baz	0.0497388
Orwell	0.0497383
Mkapa	0.0495232
Qu	0.0495015
Waxman	0.0494319
Ershad	0.0493852
Piot	0.049278
"Health and Welfare Ministry"	0.0492652
Edmondson	0.0490651
Mathews	0.0489908
Rankin	0.0489604
CSC	0.0484991
Storin	0.0484222
Fleischer	0.0483145
Liang	0.0480315
Romer	0.0479564
hough	0.0477715
Ong	0.0476091
Abdel-Meguid	0.0475072
"de Charette"	0.0474801
Leghari	0.0473024
Kabariti	0.0472862
Leung	0.0471833
Dini	0.0471767
Allard	0.0471682
Sheng	0.0471361
Sobel	0.0470904
Tuttle	0.0470531
Krasniqi	0.0469089
Ogata	0.0468749
O'Sullivan	0.0467986
Gleason	0.046675
Buhe	0.0465647
Rahal	0.0465371
Gerry	0.046477
lutz	0.0464715
Kipketer	0.0464531
ABS-CBN	0.0463128
Xiong	0.0463054
Whyte	0.0462475
brightest	0.0462313
Hickman	0.0460609
Shara	0.0460317
Renee	0.0458779
Wiggins	0.0458465
Haworth	0.0454238
Shang	0.0453419
Halloran	0.0453378
Aventajado	0.0452818
Ghali	0.0451887
Komura	0.0451829
Meng	0.0451524
Sautin	0.0451261
Burleigh	0.0450705
Nicol	0.0449074
Jin	0.044648
Mikhailov	0.0446388
Wei	0.0446218
Tsvangirai	0.0445912
Middleton	0.0445343
Farber	0.0444848
Mortimer	0.0442371
Marulanda	0.0442254
Malu	0.0441951
Elliot	0.0441088
Ganzouri	0.0440746
"Michael Heseltine"	0.0440326
Rylander	0.0439883
McIntyre	0.0439853
Juncker	0.0438718
Haines	0.0438583
Merkel	0.0438356
Dai	0.0438257
Karimov	0.0437131
))
(chain (desc 106725) (sims
retailer	0.152701
store	0.141318
company	0.118652
"retail chain"	0.112298
"department store"	0.104941
outlet	0.104801
firm	0.102797
"restaurant chain"	0.0993382
supermarket	0.0981619
business	0.0945882
restaurant	0.0944272
giant	0.0943053
network	0.0935883
bank	0.093085
operator	0.0930129
"chain store"	0.0919257
conglomerate	0.0897569
airline	0.0895385
manufacturer	0.0892039
shop	0.0887643
bookstore	0.0863317
distributor	0.0858598
maker	0.0856927
superstore	0.0850418
carrier	0.0848795
corporation	0.0848784
"department store chain"	0.0842685
brokerage	0.0835131
"phone company"	0.0826145
utility	0.0825393
provider	0.0820411
insurer	0.07993
brand	0.0789033
subsidiary	0.0786441
boutique	0.0785168
Wal-Mart	0.0782454
"retail store"	0.0782196
hotel	0.0781947
industry	0.0776676
Pharmacy	0.07648
division	0.0760425
owner	0.0756273
"grocery store"	0.0753504
wholesaler	0.0752271
"telephone company"	0.0749806
drugstore	0.0748291
unit	0.0745256
franchise	0.0745198
"brokerage firm"	0.0738406
empire	0.0736631
"insurance company"	0.0730496
club	0.0723815
"clothing store"	0.0718891
mall	0.0717842
supplier	0.0716237
seller	0.070956
"Home Depot"	0.0703969
"travel agency"	0.0696518
MCDONALD's	0.0692648
string	0.0689624
startup	0.0688244
dealer	0.068686
"holding company"	0.0685838
merchant	0.0684863
site	0.0682242
rope	0.06809
factory	0.0676416
operation	0.0675904
cooperative	0.0668367
group	0.0667707
automaker	0.0663352
agency	0.0663087
cable	0.066027
market	0.0656342
bookseller	0.065555
"theme park"	0.0653652
competitor	0.0650696
"Barnes &AMP; Noble"	0.065058
belt	0.0648346
branch	0.0647142
property	0.0646072
"shopping center"	0.0643569
"food company"	0.064342
"television network"	0.0642587
catalog	0.0640716
magazine	0.0640483
grocery	0.0639059
system	0.0639028
Amazon.com	0.0637242
organization	0.0636543
Casino	0.0635712
customer	0.0635395
service	0.0634466
complex	0.0633962
necklace	0.0633189
studio	0.0633004
bottler	0.0631349
"food chain"	0.0630198
"hardware store"	0.0624015
product	0.0622747
toy	0.0621978
institution	0.0621653
resort	0.0620616
winery	0.0620324
"brokerage house"	0.0620257
label	0.0618432
venture	0.0617905
bar	0.0617198
"shopping mall"	0.0616714
plant	0.0615634
"cable operator"	0.0615321
center	0.0615267
"commercial bank"	0.0613884
brewery	0.06112
wire	0.0608943
line	0.0606767
"financial institution"	0.0606752
jewelry	0.0601219
enterprise	0.0599556
bracelet	0.0598707
Sears	0.0598589
railroad	0.0597774
producer	0.0597031
Warehouse	0.0596967
Portal	0.0596563
ring	0.0595847
HMO	0.0595001
bottlers	0.0594418
automakers	0.0594134
newspaper	0.059303
T-shirt	0.0591111
bakery	0.0590944
dealerships	0.0590758
box	0.0590439
"consulting firm"	0.0590303
Clothing	0.0588955
"gift shop"	0.0588684
theater	0.0587626
"publishing company"	0.0587285
apparel	0.0586625
vendor	0.0586364
shoe	0.0586025
location	0.0585592
developer	0.0583853
university	0.0579965
machine	0.0579732
"movie theater"	0.057965
"toy store"	0.057803
Coca-Cola	0.0575748
Computer	0.057391
grocer	0.0573013
Boeing	0.0571675
station	0.0569735
emporium	0.0569652
facility	0.0569324
"Time Warner"	0.056916
"radio station"	0.0568957
"defense contractor"	0.0568486
"television station"	0.0568344
retail	0.0567827
sale	0.0566779
association	0.0566232
publisher	0.0564389
"Burger King"	0.0564136
advertiser	0.0563518
museum	0.0562553
cafe	0.0562152
IBM	0.0559471
"ad agency"	0.0558767
cord	0.0558147
"service station"	0.055734
"auction house"	0.0557019
NIKE	0.0556882
buyer	0.0556758
hospital	0.055672
program	0.0555938
bag	0.0555885
channel	0.0555478
item	0.0553982
"health maintenance organization"	0.0553298
Inc.	0.055316
"publishing house"	0.055271
employer	0.0552449
Amazon	0.0550987
coke	0.0550693
"gas station"	0.0550683
"school district"	0.0550078
Kmart	0.0549192
fleet	0.0549068
"shipping company"	0.0548526
employee	0.0546987
department	0.0546782
Macy	0.0546623
"mutual fund"	0.0546533
furniture	0.0543698
equipment	0.0543496
building	0.0543413
"power company"	0.0543197
refinery	0.0542185
school	0.0541969
))
("chain gang" (desc 2207.21) (sims
"gambling casino"	0.0669755
"Medicare HMO"	0.0631638
pimpernel	0.061972
"Manhattan Project"	0.0593126
"East African Community"	0.056972
mutilation	0.0548848
Liberman	0.053743
"True West"	0.0534639
"musical comedy"	0.0522688
"Beijing Opera"	0.0519917
polygamy	0.0513291
cronyism	0.0512698
sorority	0.051182
householder	0.0511492
"Auburn University"	0.0501154
"corporal punishment"	0.049979
furlough	0.049525
"other six"	0.0493956
"Talladega Superspeedway"	0.0482494
"Amherst College"	0.0480561
"Black Panthers"	0.0473271
"governor's race"	0.0472612
"voting machine"	0.047056
"Audubon Society"	0.0460317
kibbutz	0.0459149
militarism	0.045427
"deputy sheriff"	0.0454032
"Garrison Hearst"	0.0448283
despotism	0.0446012
governorship	0.0445796
malignancy	0.0443486
"Music Man"	0.0442447
"Brady Bunch"	0.0436199
"point system"	0.0431872
randomness	0.0431444
"Ku Klux Klan"	0.0431112
indecency	0.0429804
Brasserie	0.0425137
nuts-and-bolts	0.0415501
"Muslim Brotherhood"	0.0415268
"work camp"	0.0415237
stalking	0.0414877
quarter-finalist	0.0413637
"Smith College"	0.0411412
Porgy	0.0408875
Zapruder	0.0407506
"American plan"	0.0406304
raunchy	0.040475
debauchery	0.0404442
plainclothes	0.0403452
"Boston Symphony Orchestra"	0.0402528
nitty-gritty	0.0402241
"race riot"	0.0402084
))
("chain letter" (desc 1689.82) (sims
"Trojan Horse"	0.072587
chalice	0.0709966
"pocket watch"	0.0688679
"traffic cop"	0.068288
Monkees	0.0680279
"practical joke"	0.066239
"dog tag"	0.0646047
"form letter"	0.0643378
Stonehenge	0.0619749
lassie	0.0617797
prank	0.0616204
sundial	0.0613083
supplicant	0.0610874
Triptych	0.0608932
"gambling casino"	0.0597387
erasure	0.0594841
"Starr Report"	0.0585041
WordPerfect	0.0582261
eavesdropper	0.0573433
"creature comforts"	0.05731
"tennis racket"	0.0569487
epigram	0.0549689
"guardian angel"	0.054844
"steam locomotive"	0.0545904
solitaire	0.0545652
"police state"	0.0542038
debit	0.0539106
"layer cake"	0.0534807
moonscape	0.0529814
"voting machine"	0.0526906
Sleepwalking	0.0525552
gadgetry	0.0525227
"Volkswagen Beetle"	0.05173
"audio CD"	0.0516573
"board game"	0.0511763
"ice storm"	0.0506757
disinformation	0.0505887
Taxol	0.0503608
drivel	0.0501455
missive	0.0499592
Exorcist	0.049942
abacus	0.0499317
classifieds	0.0499108
"reference book"	0.0494163
"flying saucer"	0.0492694
Sodom	0.0492166
hoax	0.0486011
"parlor game"	0.048468
"UNIX operating system"	0.048314
postings	0.048049
stethoscope	0.0476341
fallacy	0.0473674
price-fixing	0.0462224
Terra	0.0462182
"pinball machine"	0.0459871
screwball	0.0459376
eraser	0.045892
headcount	0.0458127
"test equipment"	0.0457868
"douglas fir"	0.0456124
fiefdom	0.0455241
twit	0.0454883
"alarm clock"	0.0448167
"Twilight Zone"	0.0446938
"luxury liner"	0.044639
"Golden Bear"	0.0443629
"Wild Man"	0.0443562
Boomerang	0.0438874
beany	0.0436869
"filing cabinet"	0.0436776
insulator	0.0433791
"order book"	0.0433699
trespasser	0.0433529
"Princess Mononoke"	0.0433172
nonentity	0.0428277
"speaker system"	0.0428206
"marriage proposal"	0.0427206
heresy	0.0425582
clothesline	0.0423211
fillip	0.0420219
"battle plan"	0.0419451
"sour grapes"	0.0418397
RealPlayer	0.0418095
trance	0.0417781
stapler	0.0417426
bookmark	0.041701
Nutcracker	0.0415629
"battering ram"	0.0415077
"mailing list"	0.041372
"data system"	0.041336
"phone book"	0.0413209
hokum	0.041313
foul-up	0.0412885
razzle-dazzle	0.0411552
minstrel	0.041083
"Outlook Express"	0.0410478
"soda fountain"	0.0410269
caprice	0.0409306
jeremiad	0.0408717
"slush fund"	0.0408536
obit	0.040735
"Thomas Edison"	0.0405612
schemer	0.0404244
flatulence	0.0404216
thesaurus	0.0403098
no-brainer	0.0402888
"legal document"	0.0402389
))
("chain reaction" (desc 5820.52) (sims
firestorm	0.104539
"brush fire"	0.0973917
"chemical reaction"	0.0917261
"arms race"	0.0881862
fireball	0.0863523
mudslide	0.085906
conflagration	0.0841636
stampede	0.084017
spiral	0.0826264
blaze	0.0808169
"market correction"	0.077946
"volcanic eruption"	0.0769248
detonation	0.075025
"forest fire"	0.0746814
"New Wave"	0.0745028
"short circuit"	0.0742252
shakeout	0.0737602
ruckus	0.073311
"price war"	0.0725587
spillage	0.0719185
spate	0.0716357
selloff	0.0714385
"flash flood"	0.0712991
"alarm bell"	0.0707732
sell-offs	0.0704399
uproar	0.0694609
"rear end"	0.0683162
bloodbath	0.0680927
"tidal wave"	0.0675962
eruption	0.0675226
pileup	0.0673147
rioting	0.067067
gunbattle	0.0659486
midair	0.0657293
temblor	0.065707
furor	0.0654968
boomlet	0.0653339
whirlwind	0.0652048
landslide	0.0650994
tsunami	0.0648816
frenzy	0.0645199
wildfire	0.0644794
pandemonium	0.0638321
melee	0.062814
landmine	0.0625248
"brain drain"	0.0621888
rash	0.0621596
"sonic boom"	0.0621464
USAir	0.0614578
epidemic	0.0613464
"bear market"	0.0609703
"shock wave"	0.06049
rupture	0.0601633
reevaluation	0.0601097
fracas	0.060017
rollovers	0.0599181
inferno	0.0599063
firefights	0.059898
derailment	0.0597774
meltdown	0.0597674
backlash	0.059253
cascade	0.058674
unrest	0.0585437
riot	0.0584563
Collision	0.0582744
convulsion	0.0580811
"power failure"	0.0578148
"margin call"	0.0576923
manhunt	0.0574618
escalation	0.057452
brawl	0.0573948
windstorm	0.0572746
flare-up	0.0570706
free-for-all	0.0569328
"race riot"	0.0567707
panic	0.0567182
recurrence	0.0566663
cataclysm	0.0564134
repercussion	0.0560592
"work stoppage"	0.056013
updraft	0.0558997
exodus	0.0555177
barrage	0.0554972
ignition	0.0552632
cross-fertilization	0.0552451
mishap	0.0551914
flurry	0.0549705
catastrophe	0.0544538
groundswell	0.0544465
upheaval	0.0544098
squall	0.0542222
sell-off	0.0538626
meltdowns	0.0533579
scuffle	0.0533328
"asthma attack"	0.0530263
"cash crunch"	0.0528279
instability	0.052586
"crime wave"	0.0520375
deluge	0.0517083
bloodshed	0.0515743
calamity	0.0515588
Ripple	0.0514774
outburst	0.0512946
"panic attack"	0.0512577
selloffs	0.0512568
famine	0.0511493
leakage	0.0511228
miscarriage	0.0510457
"price fluctuation"	0.0508362
disturbance	0.0508173
scaling	0.050747
avalanche	0.0507302
torrent	0.0507079
firefight	0.0506263
gunfight	0.0505669
turbulence	0.0505341
fibrillation	0.0504992
occurrence	0.0504413
mutation	0.0503029
"Exxon Valdez"	0.0501185
outcry	0.0500527
Demutualization	0.0500145
activation	0.0499398
Learjet	0.0498109
"car bomb"	0.0496678
bloodletting	0.0496472
"oil slick"	0.0496237
tremor	0.0495823
free-fall	0.049564
commotion	0.0494184
"crop failure"	0.0493759
looting	0.0491743
"acquired immune deficiency syndrome"	0.0491417
"guessing game"	0.0490196
disunity	0.048911
reverberation	0.0488622
rationing	0.0487895
"moral hazard"	0.0487488
"bomb blast"	0.048713
airstrike	0.0486406
shakeup	0.0482333
"drive-by shooting"	0.0481139
T-cells	0.0481079
bombardment	0.0480741
"Trojan Horse"	0.0477975
thundershowers	0.0477752
devaluation	0.0477204
disintegration	0.0476103
fallout	0.0475713
mix-up	0.0475212
realignments	0.0474674
"management shakeup"	0.0474528
hyperinflation	0.0474239
downturn	0.0474003
contagion	0.0473139
relapse	0.0472491
twister	0.0471997
"vicious circle"	0.0470893
shutdown	0.047074
outbreak	0.0469131
"explosive device"	0.0466751
aftereffect	0.0465967
sprawl	0.0464983
mixup	0.0464159
realignment	0.0463712
"blood clot"	0.0463689
schism	0.0462804
"natural process"	0.0462448
spree	0.0460939
maelstrom	0.046004
craze	0.0459963
rampage	0.045882
"foot-and-mouth disease"	0.0458779
misperception	0.0458763
walkout	0.0458505
"waiting game"	0.0457641
warming	0.0456362
decommissioning	0.045574
"cold wave"	0.045563
resurgence	0.0455452
"air current"	0.0454464
build-up	0.0453779
dumping	0.0453476
Tightening	0.0452251
gunbattles	0.0451326
"tractor trailer"	0.0450299
reassessment	0.0449567
altercation	0.0449428
unraveling	0.0449255
deterioration	0.0448612
"Opium War"	0.0444912
snafu	0.0444651
"Korean Air"	0.044353
contraction	0.0443294
outage	0.0442871
"French Revolution"	0.0442605
blackout	0.0442194
whammy	0.0441972
flowering	0.044166
malfunction	0.0440134
))
("chain saw" (desc 4295.78) (sims
chainsaw	0.307121
machete	0.141896
excavator	0.112229
loader	0.110576
"water pump"	0.109232
"hand tool"	0.107174
crowbar	0.103652
ax	0.0997297
shovel	0.0995698
backhoe	0.0994407
Hoe	0.0912171
Sledgehammer	0.0900215
"space heater"	0.0899319
knife	0.08883
"dump truck"	0.088779
bulldozer	0.0878613
hatchet	0.0877515
"baseball bat"	0.0834472
AK-@@	0.0778796
silencer	0.0771318
"kerosene lamp"	0.0764937
sickle	0.0754323
flashlight	0.0741889
"power tool"	0.0739762
tractor	0.0739686
slingshot	0.0707283
screwdriver	0.0703675
walkie-talkie	0.070035
goggles	0.069916
chisel	0.0699029
blower	0.0689767
"machine gun"	0.0683113
spear	0.0677833
scissors	0.0676557
generator	0.0670446
Crane	0.0665605
hose	0.0664761
scraper	0.0660135
"water cannon"	0.0656115
"rocket launcher"	0.0650198
scalpel	0.0636534
forklifts	0.0634507
mallet	0.0625877
sprayer	0.0615746
"bowling ball"	0.061382
"automatic rifle"	0.0612739
pickax	0.0612435
camcorder	0.0602667
nightstick	0.0598041
"hockey stick"	0.0592062
"garden hose"	0.0591558
"hand grenade"	0.0589468
"sleeping bag"	0.0586843
"fishing rod"	0.0577328
holster	0.0568088
tricycle	0.0559143
wheelbarrow	0.0556992
snowplow	0.0555329
baton	0.055293
"sawed-off shotgun"	0.0552753
sword	0.0549299
"rescue equipment"	0.0548245
"fire engine"	0.0546529
pitchfork	0.054241
broom	0.0540498
Motorcycle	0.0536481
sonar	0.0536261
spade	0.0535922
"particle accelerator"	0.0533565
shotgun	0.0532911
truncheon	0.0522744
toaster	0.0521634
trimmer	0.0520021
trowel	0.0519703
Grenade	0.0519451
slicker	0.0514253
mower	0.0512789
revolver	0.051219
"water tank"	0.0512028
pistol	0.0511575
"military vehicle"	0.0509023
bayonet	0.050753
"diesel engine"	0.0502919
"water filter"	0.050164
cudgel	0.0500014
wand	0.0499612
vibrator	0.0496687
"lawn mower"	0.0495804
purifier	0.0492744
detector	0.0491674
shredders	0.0490578
"hunting knife"	0.0489297
cultivator	0.0484507
"knockout punch"	0.0483431
harvester	0.0477549
armful	0.0477097
binocular	0.0475678
flamethrower	0.0474367
carbine	0.047115
"tennis racket"	0.0469961
winch	0.0468186
stingray	0.0465094
racquet	0.0463861
"clock radio"	0.0461328
wrench	0.0460523
"kitchen appliance"	0.0459797
"rolling pin"	0.0459158
"personnel carrier"	0.0458047
jackhammer	0.0457595
heater	0.0457473
dynamite	0.045707
cellphone	0.0456045
launcher	0.0455751
digger	0.0455248
"fishing license"	0.0455086
"tape recorder"	0.0454703
Projector	0.0453968
"fire truck"	0.0453462
"printing press"	0.0453013
urinal	0.0451668
Tomahawk	0.0451394
"Jeep Cherokee"	0.0450829
blender	0.045
"laptop computer"	0.0449283
howitzer	0.0449128
sheeting	0.0448923
munition	0.0447344
machine-guns	0.0444125
"video equipment"	0.0443172
razor	0.0442235
"police car"	0.0441801
stove	0.0440752
trolley	0.0440096
"life preserver"	0.0439708
scooter	0.0438866
"index finger"	0.0434447
cutter	0.0432628
gadget	0.043191
forklift	0.0430949
racket	0.0430731
stethoscope	0.0430206
"seat belt"	0.042976
jeep	0.0426787
triage	0.0425358
"paper cup"	0.0424732
gavel	0.0423905
"stage name"	0.0421526
"pickup truck"	0.0419998
moped	0.041984
tarp	0.0418874
mini-buses	0.0417309
snowmobile	0.0416424
"fax machine"	0.04162
"communications equipment"	0.0415571
"submachine gun"	0.0415381
"vacuum cleaner"	0.0415021
V-chip	0.0414821
"cellular telephone"	0.041377
"car horn"	0.0411635
paintbrush	0.0409716
weaponry	0.040933
pager	0.0409303
"fire extinguisher"	0.040929
air-conditioning	0.0409106
"army tank"	0.0407242
parachute	0.0407196
prosthesis	0.0405729
"tear gas"	0.0404124
defibrillator	0.0403553
megaphone	0.040242
faucet	0.040203
"magnifying glass"	0.040197
))
("chain store" (desc 8284.31) (sims
"retail store"	0.150834
"specialty store"	0.146862
"retail chain"	0.145606
"department store"	0.143731
drugstore	0.135397
"discount store"	0.133089
"travel agency"	0.122071
supermarket	0.121181
superstore	0.119832
"convenience store"	0.115826
outlet	0.115402
"toy store"	0.114145
bookstore	0.113971
"hardware store"	0.112448
boutique	0.111429
"grocery store"	0.109381
"commercial enterprise"	0.10854
hypermarket	0.104747
"clothing store"	0.103658
"food company"	0.101361
"shopping center"	0.10104
"service station"	0.0994333
"shopping mall"	0.0975387
retail	0.0970723
"industrial enterprise"	0.0968532
joint-ventures	0.0965815
eateries	0.0952293
"liquor store"	0.0947562
state-owned	0.0944164
discounter	0.0942422
"credit bureau"	0.0936248
"insurance firm"	0.093414
"movie theater"	0.0932757
"insurance business"	0.0919968
chain	0.0919257
mall	0.091922
dealerships	0.0908166
"development center"	0.089897
"theme park"	0.0890335
retailer	0.0890262
resellers	0.0882493
"food shop"	0.0867863
"consumer goods"	0.0866727
"art gallery"	0.0864273
"securities market"	0.0862749
wholesaler	0.0862734
retailing	0.085163
"entertainment center"	0.0843841
agribusiness	0.0841091
Pharmacy	0.0838821
grocer	0.0838503
teahouse	0.0838429
"investment trust"	0.0835936
grocery	0.082711
"gas station"	0.0825932
pawnshop	0.0822911
"shoe store"	0.0820672
"discount chain"	0.0819702
delicatessen	0.081389
multinationals	0.081258
brewery	0.0812377
"investment fund"	0.0805386
medium-sized	0.0802568
"movie house"	0.0799813
"shipping company"	0.0796667
"sales outlet"	0.0795537
"electronics industry"	0.0794638
"mail order"	0.0791266
"consumer product"	0.078282
Telecoms	0.0782618
kiosk	0.0780616
"flea market"	0.0780039
"insurance market"	0.0777247
arcade	0.0773383
spas	0.0771474
transnationals	0.0770552
bakery	0.0769527
shipbuilding	0.0769499
brokerage	0.0766054
bed-and-breakfasts	0.0762408
"building material"	0.0762252
"industrial park"	0.0762227
"housing development"	0.0761342
consortia	0.0757507
"consumer electronics"	0.0755694
"financial institution"	0.0752202
"public utility"	0.0749678
"Best Buy"	0.07488
"high technology"	0.0744838
"computer store"	0.0744096
aquiculture	0.0742811
"futures exchange"	0.0742611
catering	0.074259
generics	0.0740828
"stock exchange"	0.0740297
"gift shop"	0.0734618
"butcher shop"	0.0732992
"telephone network"	0.0732171
telecommunication	0.0731045
"copper mine"	0.0727909
wholesale	0.0725869
"jewelry store"	0.0723028
"household appliance"	0.072059
sawmill	0.0717767
"business enterprise"	0.0713147
"financial organization"	0.0712901
"joint venture"	0.0712493
"home appliance"	0.0710409
"real estate"	0.0710091
"repair shop"	0.0709872
vending	0.0708029
"amusement park"	0.0706887
"employment agency"	0.0702838
"post office"	0.0700427
deli	0.0700296
"bowling alley"	0.0699735
catalog	0.0698235
"consumer credit"	0.069751
websites	0.0690913
"office building"	0.0689765
"department store chain"	0.0682306
"branch office"	0.0682194
pharmaceutical	0.0682131
"mutual fund"	0.0681898
showroom	0.0681467
parlor	0.0678808
mining	0.0678765
Supercenters	0.0676371
banking	0.067608
business-to-business	0.0675415
"research center"	0.0675372
"funeral home"	0.067489
"subsidiary company"	0.0674081
pub	0.0668409
"business organization"	0.0667506
issuers	0.0667266
Casino	0.0666519
"animal husbandry"	0.0666033
storefront	0.0665654
appliance	0.0665234
parastatals	0.0665061
"mining company"	0.0663728
"life insurance"	0.066286
"auto maker"	0.0661395
"automobile industry"	0.0661238
megaplexes	0.0660633
nightspots	0.0659972
"retail operation"	0.0659797
"black market"	0.0657966
"brokerage firm"	0.0657681
"finance company"	0.0654817
"Medicare HMO"	0.0653871
carmakers	0.0653434
"insurance company"	0.0651363
merchant	0.06508
cooperative	0.0650559
"chemical industry"	0.0649294
conglomerate	0.0649208
nursery	0.0648752
"medical institution"	0.0645994
Warehouse	0.0644877
"private corporation"	0.0644711
"steel company"	0.0644172
ISPs	0.0643737
"stock company"	0.0643256
"ad agency"	0.0642963
hardware	0.0640735
aquaculture	0.064068
"automatic teller machine"	0.063765
EPZs	0.0637501
metropolises	0.0637257
"manufacturing plant"	0.0636644
auto	0.0635902
oilfield	0.063321
"railway system"	0.0633191
"commercial bank"	0.0630165
aerospace	0.0628946
stalls	0.0627601
"filling station"	0.0627392
apparel	0.0626458
"coffee shop"	0.0626092
databank	0.0625795
winery	0.0624088
footwear	0.0622524
"public toilet"	0.0621806
EPZ	0.0619925
"gambling casino"	0.0618636
"bus company"	0.0617927
fastest-growing	0.0617922
petroleum	0.061645
"car manufacturer"	0.061618
"Special Economic Zones"	0.0614621
"computer hardware"	0.0614469
"power grid"	0.0614133
airline	0.0612442
electronics	0.061237
shareholding	0.0611579
incubator	0.0611223
automobile	0.061097
Banks	0.0610102
))
(chains (desc 1107.28) (sims
"Ron Burkle"	0.0730888
elements	0.0673811
personae	0.0666705
Asda	0.0660642
checkout	0.0609527
followers	0.057158
"Cary Stayner"	0.0559346
"hockey stick"	0.0544389
REITs	0.052348
hairpin	0.0517007
"Internet Service Providers"	0.0503516
threads	0.0501387
HomeGrocer.com	0.0499517
"car park"	0.0491788
encirclement	0.0489629
"delivery service"	0.0482474
"Hu Weidong"	0.0481222
stethoscope	0.0477005
"Bovespa Index"	0.0472869
Sarsour	0.0471623
"reception room"	0.0451951
chalice	0.0451424
acts	0.044679
demagogue	0.0444284
STI	0.0443616
"Ford Expedition"	0.0439071
nunnery	0.0433723
"supporting players"	0.0418323
Muscovite	0.041605
stat	0.0412462
"maintenance man"	0.0409453
EKG	0.0409007
shades	0.0406591
"hot stock"	0.0405037
"David Wesley"	0.0404548
"trial balloon"	0.0404291
"clothing chain"	0.0403726
cryptography	0.0403362
"flower arrangement"	0.040274
Ville	0.0402705
Safeway	0.0400281
))
(chainsaw (desc 2746.21) (sims
"chain saw"	0.307121
crowbar	0.127794
machete	0.117037
loader	0.109499
pickax	0.10758
ax	0.103191
sickle	0.102483
backhoe	0.100906
shovel	0.0994005
Hoe	0.0918375
knife	0.0875193
crossbow	0.0869401
bayonet	0.0855331
paintbrush	0.0847912
excavator	0.0810771
spear	0.0747581
chisel	0.0738804
shotgun	0.0721917
"power tool"	0.0715362
spade	0.0713099
Sledgehammer	0.0703112
"automatic rifle"	0.0699779
trowel	0.0670202
"lawn mower"	0.0666411
silencer	0.0659852
carbine	0.0659577
"baseball bat"	0.0642781
sword	0.0629934
"sawed-off shotgun"	0.0628743
"water pump"	0.062025
cudgel	0.0617325
slingshot	0.0608392
"hockey stick"	0.0601659
broom	0.0601005
pitchfork	0.0600069
vibrator	0.0595733
"hunting knife"	0.0593214
wheelbarrow	0.0590065
revolver	0.0578761
walkie-talkie	0.0565697
"fishing rod"	0.0564567
"hypodermic needle"	0.0561262
megaphone	0.0557677
Lai	0.0554441
scalpel	0.0549901
stethoscope	0.0542402
jackhammer	0.0541073
"rolling pin"	0.0539199
AK-@@	0.0536056
screwdriver	0.0533266
Ho	0.0530025
"dump truck"	0.0527553
nightstick	0.0521785
clipboard	0.0519456
hatchet	0.0514619
"space heater"	0.0509064
scraper	0.0506925
mower	0.0506543
semicolon	0.0506342
dagger	0.0504851
saber	0.0501715
"machine gun"	0.0500676
tongs	0.0479691
blower	0.0478413
moped	0.0474869
tricycle	0.0472803
truncheon	0.0471141
"hand tool"	0.0467675
Streetcar	0.0465152
dynamite	0.0464264
bullhorn	0.0462094
mallet	0.0460047
forklifts	0.0456559
"can opener"	0.0440718
"fire hose"	0.0437104
"diesel engine"	0.0431304
scissors	0.0430743
"grocery bag"	0.0426403
trimmer	0.0423724
blender	0.0423566
"hand grenade"	0.042024
buzzard	0.0418174
Cleaver	0.0417593
"heavy weapon"	0.041234
cellphone	0.0403643
"jet engine"	0.0403261
chopstick	0.0401232
urinal	0.040113
))
(chair (desc 94770.8) (sims
sofa	0.194675
armchair	0.177252
furniture	0.145329
bed	0.143671
table	0.142059
couch	0.140115
seat	0.138094
stool	0.134926
desk	0.13051
lamp	0.110728
recliner	0.109791
pillow	0.107635
"rocking chair"	0.10757
"folding chair"	0.105015
mattress	0.10381
box	0.103176
wheelchair	0.102338
rug	0.0975556
wall	0.097087
bookcase	0.0967103
"coffee table"	0.0966419
"lawn chair"	0.0949608
floor	0.0943362
bench	0.0935876
carpet	0.0925159
room	0.0902189
cot	0.0898416
car	0.0868851
cloth	0.0857359
bag	0.082846
tent	0.0818838
carpeting	0.0817507
door	0.0807422
blanket	0.0801139
tile	0.0798075
furnishings	0.0798053
shelf	0.0789508
window	0.0787989
bottle	0.0787317
frame	0.0786749
bookshelf	0.0781023
shoe	0.0779608
glass	0.0779056
shirt	0.0766558
seating	0.0760747
sculpture	0.0753895
tree	0.075362
towel	0.0751423
paneling	0.0747225
fireplace	0.0746669
piece	0.0739831
booth	0.0739619
hat	0.0738561
jacket	0.0737212
refrigerator	0.073678
bar	0.0734763
mirror	0.0734699
cubicle	0.0733287
rack	0.0730146
suite	0.072965
balcony	0.0729543
chandelier	0.072131
screen	0.0714582
roof	0.0711855
coffin	0.0711189
head	0.0708755
"television set"	0.0705046
pew	0.070487
machine	0.0703501
toilet	0.0702259
stove	0.0701473
pot	0.070132
ceiling	0.0697995
bathtub	0.0696936
railing	0.069666
dress	0.0695661
sheet	0.0694459
camera	0.0693071
candle	0.0692638
plate	0.0691719
curtain	0.0687536
object	0.0686462
brick	0.0682084
cupboard	0.0681432
trailer	0.0676793
bathroom	0.067553
kitchen	0.0674451
Clothing	0.0674019
suitcase	0.0673075
toy	0.0672919
doll	0.0671802
truck	0.0670705
flower	0.0664965
vase	0.0663927
T-shirt	0.0663307
drawer	0.066228
building	0.0662123
boat	0.0660222
tablecloth	0.0658904
tray	0.0656319
locker	0.065415
lectern	0.0653639
mat	0.0643477
robe	0.0642792
tub	0.0642769
pedestal	0.0634966
fence	0.0634252
back	0.0633081
statue	0.0631749
wallpaper	0.0631326
upholstery	0.0630738
deck	0.0630411
Tower	0.0630234
microphone	0.062897
rock	0.0628447
podium	0.0627244
"trash can"	0.0626763
pole	0.0626649
hammock	0.0626055
container	0.0625749
closet	0.0625711
ladder	0.0624962
sweater	0.0624921
cabin	0.0623954
vehicle	0.0623562
crib	0.0619574
fabric	0.0617164
pipe	0.0617098
chairwoman	0.0616218
dish	0.0615589
van	0.0615022
cart	0.0614037
cage	0.0612952
uniform	0.0611985
"tv set"	0.0611298
stone	0.0609007
jewelry	0.0607786
helmet	0.0606624
dresser	0.0605596
house	0.0605221
chairmanship	0.0605098
painting	0.060438
Computer	0.0604153
cab	0.0601683
phone	0.0600068
bicycle	0.0600002
poster	0.0598093
flag	0.0597536
coat	0.0597464
platform	0.0596356
bleachers	0.0596206
pad	0.0594933
flooring	0.0594186
space	0.0592381
quilt	0.0592162
corner	0.05914
crate	0.0588425
bedroom	0.0587314
pen	0.0585936
pant	0.0584673
antique	0.0584186
accessory	0.0583844
awning	0.0582596
boot	0.0581269
cushion	0.0581022
dirt	0.0580925
mask	0.0580636
row	0.0580027
dugout	0.0578867
Hood	0.0578136
arm	0.0576673
light	0.0576458
"living room"	0.0575509
cabinet	0.0575347
apartment	0.0574638
sitting	0.0574589
wheel	0.0574415
beam	0.0573274
office	0.0572844
counter	0.0572806
costume	0.057214
banner	0.0571827
glove	0.0570836
keyboard	0.0569668
"conference room"	0.0568598
appliance	0.0567483
bus	0.0567164
"teddy bear"	0.0565317
lantern	0.0562821
top	0.0562515
bucket	0.0562329
bike	0.056211
chest	0.0559837
ball	0.0559628
spot	0.0559567
elevator	0.0558648
fixture	0.0558631
garden	0.0558484
suit	0.0558115
button	0.0554848
))
(chairlift (desc 1952.82) (sims
salchow	0.139282
"ski lift"	0.115347
"cable car"	0.09619
Tram	0.095768
gondola	0.0939918
Quad	0.0822328
"break of serve"	0.0746901
coaster	0.0742632
motorboat	0.0733289
"shuttle bus"	0.0722948
"fiber optic cable"	0.0711119
sleigh	0.0708956
merry-go-round	0.0688872
escalator	0.0683842
"data link"	0.0683261
"petrol bomb"	0.0679298
postseasons	0.0678397
monorail	0.0659184
trolley	0.0656738
taxiway	0.0652374
campgrounds	0.0625036
"roller coaster"	0.0622703
hovercraft	0.0621759
"herb garden"	0.0612101
forklift	0.0610164
"skating rink"	0.0607077
"word of advice"	0.0605853
biplane	0.0599342
"public toilet"	0.0598673
catamaran	0.0598244
co-chairs	0.0597885
pulley	0.0591409
"dance band"	0.0591329
"patrol ship"	0.0586941
Chevys	0.0584577
Stagecoach	0.0577411
molar	0.0577003
T@	0.0575279
Streetcar	0.0573312
A@@@s	0.0560539
sled	0.0557242
"hot-air balloon"	0.0545307
"printing press"	0.0543272
"patrol boat"	0.0538935
zinger	0.0536875
sherpas	0.0535382
Pony	0.0534287
"piece of music"	0.0530952
"tennis court"	0.0527289
Marta	0.052685
"passenger train"	0.0521404
"driving school"	0.0518159
Ducati	0.0513638
"data communication"	0.0512879
Marina	0.0510813
"passenger ship"	0.0510242
minibuses	0.0504116
"car park"	0.0503247
lutz	0.0501843
"window frame"	0.0500041
watercraft	0.04996
"service break"	0.0498614
"transport ship"	0.0496854
SDH	0.0496018
jackscrew	0.0494386
"residence hall"	0.0490733
"Laffit Pincay"	0.0489793
jeepney	0.0488266
snowboarders	0.0487917
fastener	0.0484627
"container ship"	0.0484171
CPU	0.048103
"admission price"	0.0480978
"mountain pass"	0.0480546
B-@s	0.0478159
"amusement park"	0.0477309
"sailing ship"	0.0476856
Tables	0.0474925
roadway	0.0473847
donkey	0.0473229
"robbery suspect"	0.0470914
cistern	0.0470816
"private corporation"	0.0470495
"domed stadium"	0.0470269
stables	0.0470149
"church bell"	0.0469378
"Boston Garden"	0.0468925
Powerbook	0.0468755
skydiver	0.0468588
"house guest"	0.0468126
tricycle	0.0466503
Boomerang	0.0465685
"subway train"	0.0464353
"food shop"	0.0462545
carousel	0.0462422
"Terminal @"	0.0458852
"place of worship"	0.0455962
Pentium	0.0454775
verity	0.0454019
"mainframe computer"	0.0452943
motherboards	0.0452884
thoroughbred	0.0449884
"Long Island Rail Road"	0.0448277
planetarium	0.0448027
"Kai Tak Airport"	0.0447249
bogie	0.0447018
proviso	0.0446842
"parking space"	0.0446752
"water jug"	0.0446406
"express train"	0.0446066
"landing craft"	0.044598
transformer	0.0445673
"love seat"	0.0444363
rickshaw	0.0443454
motorcyclists	0.0442783
wharf	0.0442482
carport	0.0441427
Buggy	0.0441256
"Pentium III"	0.0441093
cowbell	0.0439431
riverboat	0.0438978
"septic tank"	0.0438158
promenade	0.0438145
"house of worship"	0.0436852
Limo	0.0436753
Espinosa	0.0435972
"commuter train"	0.0435471
"attack submarine"	0.0434922
"fire extinguisher"	0.0434364
axel	0.043425
chopper	0.0433209
teahouse	0.0433058
EPZs	0.0433056
pylon	0.0432992
mortuary	0.0432824
ECN	0.0432242
kwanza	0.0430959
"mountain bike"	0.0430813
gunslinger	0.0429737
"gas line"	0.0429176
"writing desk"	0.0427876
wastebasket	0.0427824
motherboard	0.0427129
motorbike	0.0427068
Nepalese	0.0426372
ex-mayor	0.0425446
"Ferris wheel"	0.0421622
oboe	0.042126
"flour mill"	0.0420014
storey	0.0419543
"tourist hotel"	0.0419366
"movie house"	0.0418835
"bowling alley"	0.0418811
"space walk"	0.0417423
"railroad car"	0.0417202
"fire station"	0.0416962
newsgroup	0.0416407
silo	0.041504
lawnmower	0.0415039
Thinkpad	0.0413687
"heart valve"	0.0413402
"information superhighway"	0.0412093
"major-league team"	0.0411788
"resort hotel"	0.0411239
"neutron star"	0.0410465
"place setting"	0.0410358
bookshop	0.0410332
tugboat	0.0409784
no-decisions	0.0409416
"American plane"	0.0408901
Gastroenterologist	0.0408401
licking	0.0408235
hardtop	0.0406526
"white knight"	0.0405848
magpie	0.0404292
Nunez	0.0403923
"sewer line"	0.0403735
"transmission line"	0.0402647
amputee	0.0402487
stepchildren	0.0402032
Solis	0.0401694
prong	0.0401638
"escape hatch"	0.0401597
"shop assistant"	0.0401158
hacienda	0.0400172
))
(chairman (desc 277552) (sims
"chief executive"	0.241009
"vice chairman"	0.229291
President	0.207511
chief	0.182184
member	0.176163
leader	0.175791
secretary	0.171515
"chief executive officer"	0.169842
"vice president"	0.167748
vice-chairman	0.165855
chairwoman	0.159054
minister	0.155597
director	0.150499
chairmen	0.149965
Speaker	0.149448
co-chairman	0.147247
official	0.146543
executive	0.140792
representative	0.140063
CEO	0.138728
head	0.137707
Secretary-General	0.13667
"deputy chairman"	0.136625
Premier	0.134772
Governor	0.132362
senator	0.132039
"general secretary"	0.130573
General	0.130119
commissioner	0.12952
"secretary of state"	0.1286
"finance minister"	0.128147
Mayor	0.123499
"foreign minister"	0.123177
"executive director"	0.122388
treasurer	0.120863
spokesman	0.11905
Chancellor	0.117077
Ambassador	0.116613
manager	0.113441
"chief of staff"	0.113255
"chief operating officer"	0.113014
deputy	0.112513
committee	0.112408
"managing director"	0.110343
chairperson	0.107837
"board member"	0.107459
legislator	0.10658
"head of state"	0.103136
founder	0.102791
"chief financial officer"	0.102344
board	0.101267
lawmaker	0.101003
"executive vice president"	0.0998202
Congressman	0.0994778
Republican	0.0977234
delegation	0.09759
adviser	0.0970592
Arafat	0.0967279
commander	0.0965445
candidate	0.0962015
"general manager"	0.0959078
"Kofi Annan"	0.0943886
"chairman of the board"	0.0941685
aide	0.0927178
"board of directors"	0.0914692
envoy	0.0913456
"William Cohen"	0.0904966
chairmanship	0.0904632
"top executive"	0.0902151
Attorney	0.0897858
"Benjamin Netanyahu"	0.0897146
officer	0.0889746
supporter	0.0889344
"cabinet minister"	0.0888261
shareholder	0.0882582
prosecutor	0.0880474
"senior vice president"	0.0879675
"deputy director"	0.0878383
lawyer	0.0876486
"general counsel"	0.0871217
Democrat	0.0870191
delegate	0.0863309
"committee member"	0.0860955
judge	0.0859147
Counsel	0.0856851
negotiator	0.0848761
"chief justice"	0.084812
"Secretary General"	0.0845841
"Tony Blair"	0.0843297
Annan	0.0838268
"Ehud Barak"	0.0834668
owner	0.0832626
Barak	0.082893
trustee	0.0827343
director-general	0.082731
cofounder	0.0826921
Albright	0.081987
Council	0.0815501
Moi	0.0813378
Netanyahu	0.0811901
Clinton	0.0810435
Mandela	0.0809317
Yeltsin	0.08089
vice-president	0.0808102
leadership	0.0803888
government	0.0799353
"deputy foreign minister"	0.0798168
administrator	0.0797564
Cohen	0.0794879
Greenspan	0.079318
"commander in chief"	0.0788873
Lott	0.078482
meeting	0.0784231
professor	0.0783735
"Ryutaro Hashimoto"	0.0778673
"executive secretary"	0.0776682
politician	0.0776432
share	0.0775774
sponsor	0.0769852
"Nawaz Sharif"	0.076918
employee	0.076843
diplomat	0.0766332
"Viktor Chernomyrdin"	0.0766196
"Prime Minister"	0.0763419
Jiang	0.0762297
expert	0.0760842
subsidiary	0.0758421
Comptroller	0.0756271
subcommittee	0.0755664
"Yevgeny Primakov"	0.0755577
editor	0.0755444
headquarter	0.0754741
Primakov	0.0753864
"Atal Bihari Vajpayee"	0.0753263
Bos	0.0750548
coordinator	0.0750183
coach	0.0746799
spokeswoman	0.0745488
"Keizo Obuchi"	0.0742701
Chirac	0.0738189
staff	0.073808
Councillor	0.0737129
"Javier Solana"	0.0726425
Mahathir	0.0724417
dean	0.07217
Congress	0.072103
superintendent	0.0719508
critic	0.0719423
"Janet Reno"	0.0718963
"press secretary"	0.071785
strategist	0.0716968
organizer	0.0712246
Mubarak	0.0711786
"Mahathir Mohamad"	0.0710656
mediator	0.0710477
advisor	0.0709179
economist	0.0709164
activist	0.070578
congressmen	0.0704177
"Shimon Peres"	0.0703247
Bush	0.0698015
Blair	0.0697581
consultant	0.0696163
party	0.0690168
group	0.0684064
"council member"	0.068335
ally	0.0681217
office	0.0680506
gore	0.0677352
"Sheikh Hasina"	0.0676031
Chernomyrdin	0.067506
partner	0.0674585
panel	0.0673156
administration	0.0671715
commission	0.067131
"John Howard"	0.0669926
"first lady"	0.0669769
"Jiang Zemin"	0.0666585
"Hun Sen"	0.0665672
"George W. Bush"	0.0661487
Sharif	0.0660595
Putin	0.0660291
authority	0.0659683
undersecretary	0.0658733
vice	0.0656658
Schroeder	0.0655301
regulator	0.0654115
publisher	0.0652124
"staff member"	0.0652075
Peres	0.0651702
al-Assad	0.064973
advocate	0.0643302
conservative	0.0642821
"lieutenant governor"	0.0642809
Hyde	0.0642005
parliamentarian	0.064199
management	0.0640904
Vajpayee	0.0640584
"standing committee"	0.0640172
Prince	0.0637275
))
("chairman emeritus" (desc 1575.05) (sims
co-director	0.103174
"chairman of the board"	0.0963384
co-chairman	0.091272
batboy	0.0903689
"sounding board"	0.0876543
co-president	0.0853863
editor-in-chief	0.0843437
"charter member"	0.0804432
paraplegic	0.0739786
"legal guardian"	0.0734736
co	0.0732139
"fall guy"	0.0714736
"prime mover"	0.0707412
chairwoman	0.0689363
"first Head"	0.0687235
co-editor	0.0680288
concertmaster	0.0674131
infantryman	0.0670197
"chief scientist"	0.0669843
pallbearer	0.0654249
player-coach	0.0653718
"music director"	0.0639528
commandant	0.062947
chaplain	0.0622489
"first pitcher"	0.0614249
"right-hand man"	0.0612193
rector	0.0605046
"Garth Drabinsky"	0.0603117
"important person"	0.0593132
newspaperman	0.0590479
Deacon	0.0589037
AWOL	0.0587577
"John J. Gotti"	0.0587174
"postmaster general"	0.0586645
"Deep Throat"	0.0575768
troubleshooter	0.0574164
kingmaker	0.0570152
"center of attention"	0.0566691
chairperson	0.0565939
"art director"	0.0556993
benefactor	0.0551677
scoutmaster	0.0550783
"traveling salesman"	0.0550463
recluse	0.0548456
Chinese-American	0.0546995
abbot	0.0546677
organist	0.0541457
"lieutenant general"	0.0539322
interlocutor	0.0535121
cantor	0.0531171
goal-scorer	0.0528469
co-head	0.0526642
vaulter	0.05256
"solicitor general"	0.052475
"house guest"	0.0524557
evangelist	0.0522133
"test pilot"	0.0520906
Postmaster	0.0520483
baserunner	0.0518824
churchgoer	0.051833
figurehead	0.0515681
"state senator"	0.0515048
pro-choice	0.0514893
co-chairs	0.0514655
"altar boy"	0.0513309
"deputy chairman"	0.0512986
drug-free	0.0512699
vice-chairmen	0.0512453
"punching bag"	0.0508899
guidepost	0.0508406
"Black Panther"	0.0507312
Caddy	0.0505681
"certified public accountant"	0.0503071
"naval officer"	0.049932
co-chairmen	0.0497739
"guiding light"	0.0496519
"Shao Yunhuan"	0.0494862
confidante	0.0493696
punchline	0.0493475
"deputy general manager"	0.0493072
co-owner	0.0492479
"Pro Bowler"	0.0492244
"guardian angel"	0.0489067
"executive officer"	0.0484397
cog	0.0483146
techie	0.0482916
"pitching coach"	0.0481629
D.J	0.04809
"lieutenant governor"	0.0477747
violinist	0.0475604
monarchist	0.0473308
"surgeon general"	0.0472805
bodybuilder	0.0467019
"safety valve"	0.0466941
puncher	0.0466453
assemblyman	0.0466287
cochairman	0.0464772
non-issue	0.0463376
doer	0.0462813
watchman	0.0461251
"executive secretary"	0.0460441
"second person"	0.0459663
"reference point"	0.0459112
executor	0.0458989
academician	0.045744
"foreign service officer"	0.0456797
"lame duck"	0.0455923
"sports editor"	0.045447
"point of reference"	0.0452781
speechwriter	0.0450386
agnostic	0.0449578
"hired gun"	0.0449288
"big leaguer"	0.0448777
"lightning rod"	0.0448569
non-factor	0.0447314
lifer	0.0447258
"legal tender"	0.0444246
laughingstock	0.0443445
double-teamed	0.0441787
DH	0.0440929
"floor leader"	0.0440356
"best man"	0.0438917
arranger	0.043808
ensign	0.0437725
fireman	0.0436422
heretic	0.0435912
welder	0.0435755
perjurer	0.0435351
ringmaster	0.0434938
pro-life	0.0433221
"Curtis Enis"	0.0433163
"chess player"	0.0432567
gatekeeper	0.0431799
"medical officer"	0.0431101
"patron saint"	0.0430811
"NBA All-Star"	0.0429647
bruiser	0.0429166
"black sheep"	0.0428314
bricklayer	0.0428135
"whipping boy"	0.0426776
"cabinet member"	0.0426188
terminus	0.042585
ghostwriter	0.0425114
"pen pal"	0.0424852
"spark plug"	0.0421419
co-chairwoman	0.0420825
"government minister"	0.0417296
"vice chancellor"	0.0415442
"director of research"	0.0414948
corporal	0.0413491
breadwinner	0.041304
"law partner"	0.0411965
emcee	0.0411549
gung-ho	0.0410192
workhorse	0.0409524
"finance chief"	0.0408161
craftsman	0.0407744
"talent scout"	0.0407733
thorn	0.0406971
co-writer	0.040652
mailman	0.0406277
"chief administrative officer"	0.0404431
"Steve Jobs"	0.040438
schizophrenic	0.0404182
marathoner	0.0404075
switch-hitter	0.0402739
"David Sibandze"	0.0401015
"law of the land"	0.0400741
ex-president	0.0400364
"role player"	0.040011
"Southern Baptist"	0.0400029
))
("chairman of the board" (desc 9808.27) (sims
"chief operating officer"	0.118415
chairwoman	0.117126
"chief executive officer"	0.116046
"executive vice president"	0.108557
CEO	0.107642
"vice chairman"	0.106832
"deputy chairman"	0.0966434
"chairman emeritus"	0.0963384
"managing director"	0.0962826
"chief executive"	0.0944301
chairmen	0.0921475
"chief financial officer"	0.0920928
CFO	0.0888916
co-chairman	0.0883948
treasurer	0.0880341
"board member"	0.0857624
"executive director"	0.0851318
editor-in-chief	0.0849978
"senior vice president"	0.0844088
chairperson	0.0817365
trustee	0.0807713
"postmaster general"	0.0803008
"executive secretary"	0.0770981
"commander in chief"	0.0764353
co-chairmen	0.076359
Provost	0.0759341
dean	0.074679
"executive officer"	0.0723375
"music director"	0.0715842
cofounder	0.0713131
director-general	0.0707174
Archbishop	0.0688699
"managing editor"	0.0688633
co	0.067926
"board of directors"	0.0678229
"Dave Checketts"	0.0676747
"general counsel"	0.0676538
"James Barksdale"	0.067445
"general manager"	0.0667312
rector	0.0648573
"general secretary"	0.0646762
vice-chairman	0.0645806
"top executive"	0.0640242
"financial officer"	0.0634805
"lieutenant general"	0.0629034
Secretary-General	0.062655
"surgeon general"	0.0625159
superintendent	0.0625084
"deputy director"	0.0611304
"Gerald Levin"	0.0609408
"solicitor general"	0.0597003
"Michael Dell"	0.0591246
part-owner	0.0587923
co-owner	0.0584965
"deputy general manager"	0.057653
"Bob Daly"	0.0564682
co-president	0.0554562
batboy	0.0550383
"Craig Barrett"	0.0549665
"vice chancellor"	0.0548203
"Tom Johnson"	0.0547838
Comptroller	0.0547772
vice-president	0.0541227
"chief justice"	0.0535119
"finance minister"	0.0534282
"sports editor"	0.0531992
advisor	0.0527784
chaplain	0.0526284
vice-mayor	0.0524709
"chief of staff"	0.0524311
"fire chief"	0.0517434
"Jack Valenti"	0.051521
"John Harrington"	0.0513032
"senior executive"	0.0507529
"Archbishop Desmond Tutu"	0.0504367
"school superintendent"	0.0503582
second-in-command	0.0499412
bishop	0.0499206
"prime mover"	0.0498898
vice-governor	0.0498077
"director of research"	0.0493118
pallbearer	0.049035
curator	0.0489861
"sales manager"	0.0487022
"business editor"	0.0485679
executor	0.0484903
Chancellor	0.048363
"drug czar"	0.0480445
prefect	0.0476579
"inspector general"	0.0475649
undersecretary	0.047391
"pitching coach"	0.0472263
"lieutenant governor"	0.0471788
"spiritual leader"	0.0469131
"project manager"	0.0469041
pastor	0.0468038
infantryman	0.0467147
"Larry Ellison"	0.0465987
"sounding board"	0.0464911
"Steve Ballmer"	0.0463563
"legal tender"	0.0463153
"charter member"	0.046082
figurehead	0.0459884
"John Sweeney"	0.0458606
"crown prince"	0.0457636
"cabinet member"	0.0457595
Postmaster	0.0455666
"Secretary of Defense"	0.0455186
co-director	0.0454905
"Tomiichi Murayama"	0.0452693
"Fatos Nano"	0.0452621
"Secretary General"	0.0450859
commandant	0.0450828
"chief administrative officer"	0.0449045
Deacon	0.0448416
"Cyril Ramaphosa"	0.0445767
bookkeeper	0.0443697
"cabinet minister"	0.0443508
"basketball coach"	0.0442911
knighthood	0.0441151
abbot	0.0440992
"Edmund Ho Hau Wah"	0.0440413
Lieutenant	0.0440285
"investment adviser"	0.0439711
"decision maker"	0.0438339
Councilman	0.0433514
"group president"	0.0433166
"security adviser"	0.0431421
"M. Douglas Ivester"	0.0430025
"important person"	0.0429756
mediator	0.0428105
concertmaster	0.0426222
Gottlieb	0.0425776
"Secretary- General"	0.042535
"Prime Minister"	0.0424985
"investment officer"	0.042358
"district attorney"	0.0423129
secretary-treasurer	0.0421313
"vice- president"	0.0418668
"political commissar"	0.0418365
assemblyman	0.0418255
"Zhou Guangzhao"	0.0417452
"naval officer"	0.0417082
"governor general"	0.0416991
caretaker	0.0416813
"state senator"	0.0416391
laureate	0.0416057
headmaster	0.0409342
lecturer	0.0408386
"governing board"	0.0404852
"second person"	0.0404821
speechwriter	0.0402909
"minister of finance"	0.0402012
"I.K Gujral"	0.0401067
"chief scientist"	0.0401034
"press secretary"	0.0400666
Vice-Premier	0.0400466
"point man"	0.0400063
))
(chairmanship (desc 19359.6) (sims
co-chairmanship	0.136396
auspice	0.132711
presidency	0.132616
governorship	0.0979112
speakership	0.0977609
auspices	0.0956235
Premiership	0.0924957
chairman	0.0904632
aegis	0.0887261
leadership	0.0862584
chairmen	0.0857565
"leadership position"	0.0833584
membership	0.0826196
captaincy	0.0775253
throne	0.0731419
chairwoman	0.0690301
"member country"	0.0671078
ministership	0.0644937
"US Senate"	0.0618988
directorship	0.0610661
Secretary-General	0.0606369
nomination	0.0605256
chair	0.0605098
chairperson	0.0600026
"member nation"	0.0599249
mediation	0.0590346
Secretariat	0.0584118
"coaching job"	0.0583162
judgeship	0.0573515
"foreign minister"	0.0556587
troika	0.0556373
sponsorship	0.0547097
Council	0.0541
"leadership role"	0.0540542
"Ministerial Meeting"	0.0531303
co-chairmen	0.0522871
"summit meeting"	0.0519725
hosting	0.0514614
"vice chairman"	0.0512616
appointment	0.0510693
"Lok Sabha"	0.0497126
co-chairman	0.0486753
seniority	0.0479063
treasurer	0.0476945
"executive secretary"	0.0473816
framework	0.0472356
"Secretary General"	0.0472335
reelection	0.046235
"term of office"	0.0461715
forming	0.045946
papacy	0.0454153
"Secretary- General"	0.0453028
invitation	0.0452425
supervision	0.0450178
"security clearance"	0.0449105
helm	0.0448839
member-states	0.0442336
mini-summit	0.0441664
prerogative	0.0438277
"deputy chairman"	0.0433465
renomination	0.0432871
"right to vote"	0.0431355
co-chair	0.0426251
Knesset	0.0418418
accreditation	0.0417365
mandate	0.0417149
vacancy	0.041435
"lieutenant governor"	0.0411378
slot	0.0410086
"general secretary"	0.0405168
"finance minister"	0.0404738
mayoralty	0.0402491
))
(chairmen (desc 20466.6) (sims
vice-chairmen	0.208203
vice-chairman	0.178301
"vice chairman"	0.169229
chairperson	0.158086
chairman	0.149965
chairwoman	0.136722
co-chairmen	0.133674
"vice- chairman"	0.128233
Councilors	0.124566
"committee member"	0.119664
"deputy chairman"	0.118186
"board member"	0.113697
Councillor	0.113402
"council member"	0.11105
vice-president	0.110289
treasurer	0.10995
legislator	0.109848
congressmen	0.108573
member	0.108149
parliamentarian	0.106906
Secretary-General	0.106538
representative	0.105024
co-chairman	0.100403
"business leader"	0.099499
deputy	0.0971776
Presidium	0.0961585
secretary	0.0952446
"general secretary"	0.0951932
vice-chairwoman	0.0942029
lawmaker	0.0937536
co-chairs	0.0935854
MP	0.0932875
delegate	0.0931374
"chairman of the board"	0.0921475
"cabinet minister"	0.0919456
commissioner	0.0897516
committee	0.089703
Governor	0.0896813
"managing director"	0.088991
"elected official"	0.0887517
"finance minister"	0.0882441
"standing committee"	0.0873917
"top executive"	0.0861589
chairmanship	0.0857565
chief	0.0853705
trustee	0.0851469
"vice president"	0.0851048
"foreign minister"	0.0839386
Speaker	0.0837802
senator	0.0835572
"business executive"	0.0835263
"board of directors"	0.083338
Comptroller	0.0832792
"chief executive"	0.0825823
"Secretary General"	0.0820819
academician	0.0820703
Mayor	0.0820159
"Secretary- General"	0.0788786
director-general	0.0784722
General	0.0783924
"secretary of state"	0.0779935
"Huang Ju"	0.0779845
"head of state"	0.0777252
Chancellor	0.0775448
executive	0.0772832
"department head"	0.0772251
"executive director"	0.0771999
Premier	0.0771588
directors-general	0.0771364
Councilor	0.0762996
appointee	0.0762937
"labor leader"	0.0762807
Vice-Premier	0.0759044
"Phan Van Khai"	0.075631
"Wlodzimierz Cimoszewicz"	0.0755312
director	0.0746832
Council	0.0743446
minister	0.0741983
Republican	0.0740804
"political leader"	0.0738586
officeholder	0.0732704
"chief executive officer"	0.0730847
subcommittee	0.0729811
"vice- president"	0.072413
chaplain	0.0715428
administrator	0.0714167
"military leader"	0.0713477
"Yoshiro Mori"	0.0711143
"Vo Van Kiet"	0.0710316
aspirant	0.071018
"chief justice"	0.0709986
vice-chairperson	0.0706699
"government officials"	0.070365
"religious leader"	0.0700914
Magistrate	0.0700306
"staff member"	0.0698055
"deputy director"	0.0696411
conferees	0.0694918
CEO	0.0689538
superintendent	0.0688737
delegation	0.0685816
"H.D Deve Gowda"	0.0683157
Democrat	0.0682086
"state senator"	0.068024
"Alexander Lebed"	0.0677799
Gujral	0.0677738
"financial officer"	0.0677246
Ambassador	0.067564
"Inder Kumar Gujral"	0.067556
co-chair	0.0675396
"Atal Bihari Vajpayee"	0.0671778
"William Cohen"	0.0671128
"executive secretary"	0.0667263
"Tung Chee-Hwa"	0.0664968
activist	0.0659564
"Li Tieying"	0.0658977
"Palestinian Council"	0.0658214
"Viktor Chernomyrdin"	0.0656167
staffer	0.0656096
"Tung Chee Hwa"	0.0656032
"executive council"	0.065553
adviser	0.0654138
officer	0.0653724
"chief of staff"	0.0651452
"Yevgeny Primakov"	0.064649
"military officer"	0.0645888
vice	0.0643338
"rank and file"	0.0642349
"Sergei Kiriyenko"	0.0641452
"lieutenant governor"	0.0641314
commander	0.0638789
supervisor	0.063761
"Christie Whitman"	0.0635367
"William Daley"	0.0634759
"Binyamin Netanyahu"	0.0633688
"Central Committee"	0.0632571
legislature	0.0631487
leadership	0.0630512
"Bill Archer"	0.063022
"minister of finance"	0.0630069
"Fu Quanyou"	0.062999
banker	0.0628388
advisor	0.0627849
"George Pataki"	0.0625364
"army officer"	0.0622943
undersecretary	0.0621094
politician	0.0620871
lobbyist	0.0618793
"Yu Yongbo"	0.0618477
"Javier Solana"	0.0618332
"Dan Burton"	0.0618154
"steering committee"	0.0617134
Congressman	0.0612305
"national leader"	0.0611754
aide	0.060833
negotiator	0.0607637
"board of trustees"	0.0607587
"Jacques Rogge"	0.0607035
shareholder	0.0605626
"Edmund Ho Hau Wah"	0.0605402
"Atef Obeid"	0.0605062
"presiding officer"	0.0605055
Procurator	0.0605052
elder	0.060488
founder	0.0604192
donor	0.0603347
"world leader"	0.0600553
"working group"	0.0599827
functionary	0.0595928
"newspaper editor"	0.0594405
"Luo Gan"	0.0593711
"finance committee"	0.0593514
"Mesut Yilmaz"	0.0593452
"State Duma"	0.0592726
Councilman	0.0591984
Moi	0.0590709
"chief operating officer"	0.0590099
supporter	0.0589995
envoy	0.0589196
"Kofi Annan"	0.0589055
"Shimon Peres"	0.0589003
"Hu Jintao"	0.0586898
"King Abdullah II"	0.0585585
businessmen	0.0585071
"legislative council"	0.0584983
"general manager"	0.0584642
diplomat	0.0583892
"Costas Simitis"	0.0583172
"Chea Sim"	0.0582906
"Li Peng"	0.0581603
"Daniel Patrick Moynihan"	0.0581497
"Henry Hyde"	0.0580955
co-chairwoman	0.057772
"Chi Haotian"	0.0577376
"general counsel"	0.0577156
"Yegor Stroyev"	0.0577059
forming	0.0576658
"Secretary of Defense"	0.0576421
dignitary	0.0573741
"Robert Rubin"	0.0572988
))
(chairperson (desc 11932.3) (sims
vice-chairwoman	0.250495
vice-chairperson	0.246905
chairwoman	0.19233
vice-chairman	0.191635
"vice chairman"	0.158937
chairmen	0.158086
vice-chairmen	0.12385
Secretary-General	0.123821
"general secretary"	0.115815
"deputy chairman"	0.112077
"Secretary General"	0.111046
co-chairmen	0.108078
chairman	0.107837
"Begum Khaleda Zia"	0.104952
vice-president	0.10256
treasurer	0.098568
Presidium	0.0953708
"vice- chairman"	0.0897094
"vice- president"	0.088478
"Secretary- General"	0.0876791
parliamentarian	0.0866258
director-general	0.0863117
"executive secretary"	0.0861056
Councillor	0.0853375
MP	0.0851829
"Lee Hsien Loong"	0.082186
"chairman of the board"	0.0817365
secretary	0.0815976
"finance minister"	0.0767244
"Sheikh Hasina"	0.0763424
"minister of finance"	0.075388
"Benazir Bhutto"	0.0751851
"Executive Committee"	0.0746095
"cabinet minister"	0.0743197
co-chairman	0.0742874
"vice chancellor"	0.0742393
"deputy director"	0.0733155
"standing committee"	0.0731708
"Khaleda Zia"	0.0730771
"Yoshiro Mori"	0.0727974
Secretariat	0.0724283
"Prime Minister"	0.0721983
"Atal Behari Vajpayee"	0.0719976
"executive director"	0.0714254
"foreign minister"	0.0707117
"Secretary General Esmat Abdul-Meguid"	0.0706154
"head of state"	0.0705376
deputy	0.0704071
"Palestinian Council"	0.0702327
"Mikhail Kasyanov"	0.0702027
"postmaster general"	0.070056
"Peng Peiyun"	0.0698249
"Inder Kumar Gujral"	0.0694726
"chief justice"	0.0691441
"H.D Deve Gowda"	0.0687174
Al-Sabah	0.0686938
Bhattarai	0.0684984
"political commissar"	0.0676421
co-chairwoman	0.0676176
"Bangladesh Nationalist Party"	0.0676168
"committee member"	0.0671613
"commander in chief"	0.0668897
"Speaker Ali Akbar Nateq-Nouri"	0.0663179
undersecretary	0.0660464
Gujral	0.0659632
commissioner	0.0659238
"managing director"	0.0655442
"solicitor general"	0.0655324
Premier	0.0655032
"Chavalit Yongchaiyudh"	0.0654091
legislator	0.0650598
"CPPCC National Committee"	0.06487
Ikimi	0.0645966
"executive officer"	0.0645599
"Cao Zhi"	0.0636456
BNP	0.0635978
Luli	0.0635925
"Tansu Ciller"	0.0633817
Vice-Premier	0.062937
el-Ganzouri	0.0629344
"Tim Fischer"	0.0629118
vice-mayor	0.0628632
"Political Consultative Conference"	0.0628002
Chancellor	0.0624305
Ganzouri	0.0620974
editor-in-chief	0.0619373
Velayati	0.0617877
"Zhou Guangzhao"	0.0616029
"Vo Van Kiet"	0.0615237
"Khin Nyunt"	0.0614061
"Minister Shlomo Ben-Ami"	0.0613501
plenum	0.0613154
co-president	0.061265
"NPC Standing Committee"	0.0611756
"Chen Muhua"	0.0611448
"Foreign Affairs Committee"	0.0611247
"secretary of state"	0.0608583
Stoyanov	0.0605799
"Chinese Communist Party (CPC) Central Committee"	0.0603902
Vice-Minister	0.060301
Gurirab	0.0602655
"deputy foreign minister"	0.0601237
chairmanship	0.0600026
"National Executive Committee"	0.0593594
Ambassador	0.0591584
"Bashkim Fino"	0.0590598
Comptroller	0.0590014
"Qian Qichen"	0.0589082
"Atal Bihari Vajpayee"	0.0588583
directors-general	0.0587425
"Boris Nemtsov"	0.0585059
advisor	0.0584807
"board member"	0.0583501
"Phan Van Khai"	0.0583295
"lieutenant governor"	0.0582058
"Deve Gowda"	0.058193
delegation	0.0581081
"Victor Chernomyrdin"	0.0580405
Abdel-Meguid	0.0579522
Councilors	0.0579049
"cabinet member"	0.0578129
"Chea Sim"	0.0575573
"Prime Minister Kamal El-Ganzouri"	0.0575253
"Orlando Mercado"	0.0575065
"chief of staff"	0.0573203
"Pascoal Mocumbi"	0.0572656
"Hu Jintao"	0.0572006
"Costas Simitis"	0.0571043
"Kiichi Miyazawa"	0.0570796
Kharrazi	0.0570031
"Jia Qinglin"	0.0569858
"Mesut Yilmaz"	0.0569029
"department head"	0.0568746
Alatas	0.0567659
"chairman emeritus"	0.0565939
Meguid	0.0565495
"Viktor Chernomyrdin"	0.0564024
"Goran Persson"	0.0562626
namelist	0.0560132
"Yuri Maslyukov"	0.0558641
"Yevgeny Primakov"	0.0558611
co-chair	0.0558285
"George Robertson"	0.0557877
"Chuan Leekpai"	0.055738
"Lu Ping"	0.0555123
procurator-general	0.0553463
"Nawaz Sharif"	0.0553026
"governor general"	0.0551845
"Second Session"	0.0551552
Kasoulides	0.0547534
"Faisal Husseini"	0.0544799
Fino	0.0544496
Malu	0.0543333
"Lei Jieqiong"	0.0542959
"Luo Gan"	0.0541367
"Lamberto Dini"	0.0540782
"high commissioner"	0.0540682
Kabariti	0.0540221
"inspector general"	0.0540197
"financial officer"	0.0540041
"Vladimir Putin"	0.05397
"Gro Harlem Brundtland"	0.0539547
"Plenary Session"	0.0537461
prefect	0.0535545
"council member"	0.0534731
Komura	0.0534377
"Secretary General Boutros Boutros-Ghali"	0.0534089
"Mahmoud Abbas"	0.0533842
co-chairs	0.0531717
"Shi Guangsheng"	0.0529344
Vajpayee	0.0528567
envoy	0.0527641
Siazon	0.0526613
Juma	0.0524811
"Salim Ahmed Salim"	0.0522921
Majali	0.0521642
academician	0.0520411
"crown prince"	0.0520044
"Jenny Shipley"	0.0518608
"deputy director-general"	0.0518354
"Abu Mazen"	0.0516587
"government officials"	0.0515954
"chief of state"	0.0515236
"Council of Ministers"	0.0514969
"Wang Guangying"	0.0514277
trustee	0.051357
"Tariq Aziz"	0.0513118
coordinator	0.051278
"member nation"	0.0511847
chaplain	0.0511748
"Wlodzimierz Cimoszewicz"	0.0510958
"Saeb Erekat"	0.0509193
"Paul Keating"	0.0508206
vice-governor	0.0507558
"Central Committee"	0.0506913
Leghari	0.0505984
"Edmund Ho Hau Wah"	0.0505511
auditor-general	0.0504245
"Goh Chok Tong"	0.0502866
attorney-General	0.0502691
))
(chairwoman (desc 22951.6) (sims
chairperson	0.19233
vice-chairwoman	0.167218
"vice chairman"	0.161269
chairman	0.159054
co-chairman	0.142766
vice-chairperson	0.14004
chairmen	0.136722
co-chairwoman	0.131752
"deputy chairman"	0.129216
co-chair	0.128428
vice-chairman	0.12252
"executive director"	0.122261
treasurer	0.117382
"chairman of the board"	0.117126
co-chairmen	0.0986303
"board member"	0.0950282
"general counsel"	0.0922583
"deputy director"	0.0879378
director	0.0860309
"general secretary"	0.0856121
"chief executive officer"	0.0823479
Secretary-General	0.0787638
trustee	0.0774078
"chief operating officer"	0.0772833
cochairman	0.0756878
secretary	0.0752656
"managing director"	0.0751633
co-director	0.0751061
director-general	0.075076
co-chairs	0.0746662
dean	0.0735247
"executive secretary"	0.0734055
Provost	0.071539
co-president	0.071381
"executive officer"	0.0704043
"vice president"	0.0701783
CEO	0.0700432
coordinator	0.0694799
"postmaster general"	0.0693738
chief	0.0693254
chairmanship	0.0690301
"chairman emeritus"	0.0689363
commissioner	0.0679933
"executive vice president"	0.067711
"solicitor general"	0.0667039
superintendent	0.0655521
"committee member"	0.0646749
"chief executive"	0.0646202
vice-president	0.0636793
editor-in-chief	0.0625237
"chief financial officer"	0.0623822
"senior vice president"	0.062147
Comptroller	0.0617733
chair	0.0616218
administrator	0.0593409
founder	0.0590939
"vice chancellor"	0.0586322
committee	0.0579267
curator	0.0578823
"vice- president"	0.0565981
"lieutenant governor"	0.0564506
Speaker	0.0559726
"presiding officer"	0.0559259
cofounder	0.055615
adviser	0.0555441
"board of directors"	0.0555301
Premier	0.0551647
Councillor	0.0548237
"vice- chairman"	0.0548228
vice-chairmen	0.0545161
"press secretary"	0.0544007
forming	0.0542468
consultant	0.0541921
"Secretary General"	0.0541554
Chancellor	0.0535708
"managing editor"	0.053534
Counsel	0.0533824
"chief of staff"	0.0529607
editor	0.0528646
"Mesut Yilmaz"	0.0524279
advisor	0.0517185
undersecretary	0.0516881
"chief justice"	0.0513104
strategist	0.0510921
"finance minister"	0.0505247
"staff member"	0.0503015
"financial officer"	0.0502569
CFO	0.050024
vice-mayor	0.0497945
"inspector general"	0.0497123
"secretary of state"	0.049375
"commander in chief"	0.0493381
"general manager"	0.0489204
"finance committee"	0.0487487
deputy	0.0480952
organizer	0.0480555
"department head"	0.047942
legislator	0.0479317
"Secretary- General"	0.0478734
"music director"	0.0477295
Councilman	0.0474575
spokesperson	0.0472325
"governing board"	0.0472065
supervisor	0.0470112
Councilor	0.0469346
subcommittee	0.0469064
"state senator"	0.0467568
delegate	0.0466266
co	0.0466116
Congressman	0.0465824
moderator	0.0465418
executor	0.0465297
"sales manager"	0.0462209
Presidium	0.0459562
officeholder	0.0459542
assemblyman	0.0455383
rector	0.0455143
auditor	0.0454629
coauthor	0.0452787
Ambassador	0.045236
"school superintendent"	0.0452341
spokeswoman	0.0451508
"director of research"	0.0449177
"Peng Peiyun"	0.0446803
Archbishop	0.0443546
Vice-Premier	0.0436733
nominee	0.0436613
activist	0.0436601
commander	0.0436502
"cabinet minister"	0.0436427
"top executive"	0.0435886
"foreign minister"	0.0433451
"cabinet member"	0.0432364
"surgeon general"	0.0431929
speechwriter	0.0430618
Ombudsman	0.0429765
secretary-treasurer	0.0428865
lobbyist	0.0427162
"assistant professor"	0.0426053
"research director"	0.0425156
"executive council"	0.0423868
"public defender"	0.0421013
Secretariat	0.0418895
"fire chief"	0.0418645
operative	0.0417983
president-elect	0.0417573
second-in-command	0.0414095
principal	0.0413796
aspirant	0.0413298
"Chinese People's Political Consultative Conference"	0.0412253
"commanding officer"	0.0411268
appointee	0.0411112
Registrar	0.0409771
"Minister Shlomo Ben-Ami"	0.0409208
Councilors	0.0408969
abbot	0.0407097
instructor	0.0406949
counselor	0.0406707
"spiritual leader"	0.0406336
regent	0.0405478
"board of trustees"	0.0404782
panelist	0.0403328
Sheriff	0.040294
"medical officer"	0.0402092
prefect	0.040141
))
(chaise (desc 1133.28) (sims
chintz	0.0876259
caftan	0.0662277
footbridge	0.0647107
lettering	0.0640812
splotch	0.062913
heifer	0.0613934
"parcel of land"	0.0613033
KLIA	0.0603816
comforter	0.059642
karaoke	0.0594896
chiffon	0.0580207
"piece of cloth"	0.0563791
"clock tower"	0.0558641
armchair	0.0553538
"wrapping paper"	0.0553252
"slip of paper"	0.0544949
led	0.0542895
roughness	0.0538301
poinsettia	0.0537035
wreath	0.0535874
"telephone booth"	0.0527481
carnation	0.0525028
"boxing glove"	0.05242
oilmen	0.0523992
suspender	0.0522387
feline	0.0518936
pajamas	0.0516975
headband	0.0516803
eaves	0.0515732
"wall hanging"	0.05155
mezzanine	0.0513787
"wall painting"	0.0511037
"place mat"	0.0509686
"rooming house"	0.0509095
gunk	0.050909
trellis	0.0509074
"king salmon"	0.0505912
Crescent	0.0503036
brocade	0.0502791
Matchbox	0.0499512
bandanna	0.0496776
"man's body"	0.0496057
"wedding gown"	0.0496016
tricolor	0.0494339
varietals	0.0494248
"Toyota Corolla"	0.0494097
poolside	0.0493181
impatiens	0.0488207
"Ford Mustang"	0.0482336
"evening gown"	0.0481781
"life vest"	0.0477729
vermouth	0.0476401
spiffy	0.0472352
"Bengal tiger"	0.0468673
bustier	0.0467833
commode	0.0467589
"writing desk"	0.0465157
"polo shirt"	0.0464877
bullfrog	0.0464254
barrette	0.0462804
canna	0.0462234
"window frame"	0.0462114
awning	0.0462064
"beach towel"	0.0461617
louver	0.0458439
dowel	0.0457834
"tile roof"	0.0457038
"Honda Civic"	0.0456295
"folding chair"	0.0454982
bedsheets	0.0454932
"tax change"	0.0453856
Play-Doh	0.0453348
Camaro	0.0450407
"M&AMP;M"	0.0448766
flannel	0.0447794
"Ford Expedition"	0.0447592
trestle	0.0446917
"Thomson Multimedia"	0.0444396
abalone	0.0443937
dimple	0.044374
pergola	0.0443696
"lounge chair"	0.0443081
Pony	0.0443014
"bucket seat"	0.0442658
"moving van"	0.0442062
hatchback	0.0435503
semicircle	0.0435157
semicolon	0.0434887
welt	0.0434783
truncheon	0.0434615
diode	0.0434583
bulkhead	0.0434441
Sash	0.0433523
annotation	0.0430831
chalice	0.0430665
jumpsuit	0.0428276
wattle	0.0428182
bikini	0.0428173
Formica	0.0426247
double-decker	0.0425415
"landscape painting"	0.0424897
"rain cloud"	0.0424737
wretch	0.0423685
blotch	0.0423536
culvert	0.0423215
skiff	0.0422731
anemone	0.0422021
sloop	0.0421442
knapsack	0.0420289
"piece of cake"	0.0420193
marionette	0.0419015
"picket fence"	0.0418005
brooch	0.0417159
Estimations	0.0416719
"line drawing"	0.0416283
mitten	0.0416262
tiller	0.0415546
"pool table"	0.0415127
"cocktail dress"	0.0414816
"ping-pong ball"	0.0414496
Cunard	0.0414095
tablecloth	0.0413973
stitching	0.0413859
pompadour	0.0413453
smooch	0.0413452
rebuilt	0.0413239
"Jeep Cherokee"	0.0412255
"pipe organ"	0.0411269
"dress shirt"	0.041114
pantsuit	0.0409361
tassel	0.0409157
grub	0.0409024
"filing cabinet"	0.0407869
cantata	0.0407255
cardigan	0.0407175
skullcap	0.040674
underbelly	0.0406704
Picassos	0.0405903
Sari	0.0405902
paintbrush	0.0405724
Eames	0.0405471
Adirondack	0.0405032
lithograph	0.0404407
"subway train"	0.0404142
mini-van	0.0403927
tights	0.0403502
Shoate	0.0403259
"rocking chair"	0.0403196
bandana	0.0403052
catwalk	0.0402845
poodle	0.0401643
undershirt	0.0401376
stapler	0.0400952
streamer	0.0400856
Bois	0.0400713
"sea bird"	0.0400372
FOP	0.0400232
))
(chalet (desc 3709.25) (sims
shanty	0.0990237
"vacation home"	0.0872085
cottage	0.0863095
shack	0.0835726
bungalow	0.0816815
hut	0.0805281
"office building"	0.0798718
"mobile home"	0.0780541
condo	0.0766556
condominium	0.0757912
cabin	0.0752891
"landing strip"	0.0733611
outbuilding	0.0719389
SPA	0.0717929
"apartment building"	0.0708251
"office block"	0.0701389
duplex	0.069224
"conference center"	0.0686218
jetty	0.0682386
"skating rink"	0.0680114
inn	0.0671455
"resort hotel"	0.0670006
seawall	0.0669499
"town house"	0.0668887
Villa	0.0658203
Marina	0.0654661
trestle	0.0651666
"ski lift"	0.0618238
teahouse	0.0611182
gazebo	0.0609762
"tennis court"	0.0606936
campsite	0.0603555
"row house"	0.0600735
"apartment house"	0.0599331
"cabin cruiser"	0.0591203
"beach house"	0.0589353
"dance hall"	0.0588238
stalls	0.058819
"summer house"	0.0586262
pavilion	0.0585784
spas	0.0584289
campgrounds	0.0579193
skyboxes	0.0577552
"shopping center"	0.0570278
hovel	0.0562579
"pumping station"	0.0561502
"holiday resort"	0.0558799
bed-and-breakfast	0.0551527
stables	0.0543628
hangar	0.0537539
"recreational facility"	0.0533916
silo	0.0533274
cantons	0.0532641
ravine	0.0531097
"yacht club"	0.0529539
"office space"	0.0528399
gondola	0.0528113
"place of worship"	0.0524568
barn	0.0522405
nightspots	0.0521058
schoolhouse	0.052063
meadow	0.0520421
"data system"	0.0517699
Humvee	0.0511804
headstone	0.0508835
storefront	0.0508732
dacha	0.0507279
"dairy farm"	0.0505389
dwelling	0.0504798
motel	0.0503419
"relay stations"	0.0502846
snowpack	0.0502676
streetlight	0.0502513
farmhouse	0.0500317
"boarding school"	0.04997
campsites	0.049726
trawler	0.0493854
bed-and-breakfasts	0.049176
"cattle ranch"	0.0490516
"drainage system"	0.0489067
"shopping mall"	0.0488787
"domed stadium"	0.0486336
"motel room"	0.0486052
"car park"	0.0483181
waterfall	0.0482513
"country house"	0.0482276
biplane	0.0480967
"funeral home"	0.0479913
skyscraper	0.0479494
birdhouse	0.0478406
"entertainment center"	0.0477593
"folding chair"	0.047748
Vista	0.0475179
gymnasium	0.0472952
encampment	0.0472041
subdivision	0.0470373
pagoda	0.0469009
pier	0.0468513
"paper cup"	0.046827
"liquor store"	0.0468095
skiff	0.0465895
footbridge	0.0465421
"exhibition hall"	0.0463333
"piece of land"	0.0463292
crosse	0.0461219
"game room"	0.0460688
principality	0.0459432
"fishing boat"	0.0458801
shantytown	0.0458182
"fraternity house"	0.0457646
lean-to	0.0455548
"log cabin"	0.0455418
"parking area"	0.0455154
"community center"	0.0454763
camper	0.0454576
stub	0.0453515
"oil refinery"	0.0450504
two-bedroom	0.0448473
"water plant"	0.0447925
superstructure	0.0447729
"radio transmitter"	0.0444812
gully	0.0444566
playpen	0.0442932
"nest egg"	0.0442558
"Hard Rock Cafe"	0.0442412
bulkhead	0.0442197
"septic tank"	0.0439873
high-rise	0.043919
"suspension bridge"	0.043897
"ranch house"	0.0437822
quarry	0.0434898
"telephone booth"	0.0434479
crematorium	0.0433306
"bus route"	0.0432713
"compact car"	0.043247
"movie theater"	0.043058
"house of worship"	0.0429044
outcrop	0.0428484
"luxury liner"	0.0427131
minaret	0.0426421
culvert	0.0425783
"golf club"	0.0423703
"piece of furniture"	0.0423652
redoubt	0.0423095
campground	0.0423066
"chicken coop"	0.0422634
canteen	0.0422065
hostel	0.0421449
powerboat	0.0421356
tavern	0.0421113
dorm	0.0420681
latrine	0.0420185
"botanical garden"	0.0419132
speakeasy	0.0419012
fortress	0.0418983
cornice	0.0418864
Dumpster	0.0418481
"Chrysler Building"	0.0418293
"flour mill"	0.0418264
wharf	0.0418236
"storage tank"	0.0416864
"trading post"	0.0416034
"transmission line"	0.0414746
viaduct	0.041444
"gas plant"	0.0414402
"studio apartment"	0.0414235
"Unknown Soldier"	0.0414196
"shipping company"	0.0413874
"lounge chair"	0.041375
"vacant lot"	0.0411737
guesthouse	0.0411266
"public toilet"	0.041092
arcade	0.0410879
canoe	0.0410459
hotel-casino	0.041043
"Grand Hotel"	0.0410398
crewmembers	0.0409467
treehouse	0.0408975
nunnery	0.0407948
"picket fence"	0.0407772
"sugar refinery"	0.0407706
greenhouse	0.040762
Beehive	0.0406725
kiosk	0.0405496
"recording studio"	0.0405437
"launching pad"	0.0403583
"North Valley Jewish Community Center"	0.0402422
"particle accelerator"	0.0402203
"convenience store"	0.0401671
substation	0.0401312
distillery	0.0401307
easel	0.0401215
"coffee table"	0.0401104
"piece of cloth"	0.0401004
"science museum"	0.0400962
"B&AMP;B"	0.0400944
stadia	0.0400043
))
(chalice (desc 1669.23) (sims
crucifix	0.107077
sconce	0.0974215
inlay	0.0882386
cufflink	0.0874995
medallion	0.0836931
doorknob	0.0819402
barbell	0.0818799
flatware	0.0786024
striper	0.0770969
Goblet	0.0768217
"rainbow trout"	0.0766548
trowel	0.0765939
statuette	0.0760362
filigree	0.0746744
bauble	0.073758
vase	0.0734643
cladding	0.0715355
ornament	0.071112
"chain letter"	0.0709966
"Lincoln Town Car"	0.0702144
cherub	0.0699233
pendant	0.0696957
vestment	0.0696179
porthole	0.0690777
"pocket watch"	0.0686315
"rocket fuel"	0.067564
ingot	0.0670456
colander	0.0662762
megaphone	0.0654329
urn	0.0651208
hubcap	0.0650191
"tea set"	0.0647682
"picture frame"	0.0640646
candlestick	0.0640309
"belt buckle"	0.0633846
"Gary Hall"	0.0616518
"evening bag"	0.0611533
lampshade	0.0607931
skullcap	0.060707
"man's body"	0.0602224
faucet	0.0599473
lettering	0.0598879
teapot	0.0594232
tumbler	0.0587435
truncheon	0.0587414
caftan	0.0586954
threads	0.0580527
confetti	0.057797
"beach ball"	0.0577592
Matchbox	0.0576185
fleck	0.0574116
shingles	0.0574011
yachtsman	0.0571287
dagger	0.0568441
wafer	0.0568005
embroidery	0.0567918
keg	0.0562483
CRT	0.0561219
"Gary Hall Jr."	0.0553807
chandelier	0.0553144
"love seat"	0.0547055
Mylar	0.054593
harmonica	0.0545312
"paper cup"	0.0541822
"coffee bar"	0.0535674
"waiting area"	0.0533763
paintbrush	0.0533708
flask	0.0528713
remix	0.0528051
"woman's body"	0.0527026
candelabra	0.0526586
saucer	0.0522015
skiff	0.0519
fawn	0.051689
"Mercedes Benz"	0.0516852
"Alexei Urmanov"	0.0516459
skylight	0.0515612
paperweight	0.0515421
tiara	0.051013
sparkler	0.0509281
footbridge	0.0508337
scissors	0.0503085
Casket	0.0502374
stylus	0.0501522
balustrade	0.0501086
alloy	0.0500729
"rolling pin"	0.0499425
"water jug"	0.0497841
pompadour	0.0497714
"piece of furniture"	0.0497424
plasma	0.0496823
parasol	0.0496792
amulet	0.0494414
"space heater"	0.0491889
cupola	0.0491411
kayaker	0.0490919
"frying pan"	0.0490005
macaw	0.0487894
earring	0.0487528
"sawed-off shotgun"	0.0485414
"Oksana Kazakova"	0.0485302
tassel	0.0483484
bunting	0.048165
decanter	0.0481579
"Rolls Royce"	0.0480541
"tennis racket"	0.0480093
stapler	0.0477623
braid	0.0475063
taillight	0.0474685
analyzer	0.0474566
"Fiona May"	0.0474287
CO@	0.0474206
piping	0.0473999
bronzeware	0.0473223
"coffee pot"	0.0473221
orb	0.0471833
streamer	0.0471483
"race horse"	0.0469516
Rolex	0.0467984
seashell	0.0467909
nameplate	0.0466424
incision	0.0465955
pellet	0.0463
mower	0.0462892
chaperone	0.0462285
cannister	0.0461834
"milk cow"	0.0460543
potion	0.0460456
"brown trout"	0.0458728
"measuring cup"	0.0458303
"tool kit"	0.045717
roofing	0.0456704
crosse	0.0456628
sunroof	0.0456016
"leg bone"	0.0455657
tarpaulin	0.0455489
stepchild	0.0455421
"guardian angel"	0.0454931
"teddy bear"	0.0454437
"tennis shoe"	0.0453581
"Susanthika Jayasinghe"	0.0452906
beaker	0.0452734
chains	0.0451424
jawbone	0.0451365
"white flag"	0.0451106
headdress	0.0450975
flaps	0.0450928
tabletop	0.0450663
"space capsule"	0.0449868
"Elena Berezhnaya"	0.0449583
tequila	0.0448164
"water tower"	0.0447396
"fur coat"	0.0446906
"Wang Yifu"	0.0446157
half-full	0.0445843
filament	0.0445772
"ransom money"	0.0445624
"pedestrian bridge"	0.044531
jug	0.0444886
"fire hose"	0.0444703
"substance abuser"	0.0444128
tweezer	0.0443303
headboard	0.0443148
birdbath	0.0443017
strainer	0.0440976
"spider web"	0.0440771
figurine	0.0440602
"grapefruit juice"	0.0439874
"wedding cake"	0.0438767
"picture tube"	0.0435801
"slip of paper"	0.0435629
"stiletto heel"	0.043507
scrim	0.0432986
chaise	0.0430665
"yellow flag"	0.0430585
shaker	0.0430414
"cigarette lighter"	0.0429752
"dairy cow"	0.0429486
"mechanical device"	0.042855
"Star of David"	0.0426964
"wedding ring"	0.0425984
alcove	0.0425339
hand-me-down	0.0424052
bullion	0.0424022
beading	0.042374
loincloth	0.0423593
vial	0.0423188
pail	0.0422989
"Alexei Nemov"	0.0421719
stepchildren	0.0421599
"measuring stick"	0.0421219
harp	0.0421004
epigram	0.0420814
fastener	0.0420464
"Toyota Corolla"	0.0420433
"tape measure"	0.0420291
"Katarina Witt"	0.0417541
"over @@@ meters"	0.0416873
lacquerware	0.041643
"raw meat"	0.0416327
))
(chalk (desc 7816.27) (sims
crayon	0.15894
pencil	0.13476
ink	0.102689
gouache	0.102137
charcoal	0.0811851
"tissue paper"	0.0800916
eraser	0.0784983
marker	0.0755396
paintbrush	0.0719341
pen	0.0704879
limestone	0.0679923
pixie	0.0676703
plaster	0.066503
longhand	0.0664063
shale	0.0648278
pigment	0.0636978
notepad	0.0625793
watercolor	0.0604338
"fountain pen"	0.0593545
Play-Doh	0.0575713
gunk	0.0571067
Kleenex	0.0541403
sandstone	0.0536887
foam	0.0536538
notebook	0.0512698
lettering	0.051005
graphite	0.0509175
sketchbook	0.050122
pastel	0.0498008
sewing	0.0493356
poinsettia	0.0490174
clay	0.0489258
granite	0.0487641
flesh	0.0482344
dirt	0.0477864
"beam of light"	0.0475046
drywall	0.0473034
"ballpoint pen"	0.0469766
"coloring book"	0.0468153
enamel	0.0467582
ribbon	0.0466617
licorice	0.046357
powder	0.0458194
parchment	0.0457667
fingernail	0.04477
mapping	0.0446961
icing	0.044599
tile	0.0445482
"hot pepper"	0.0444661
sheetrock	0.0442509
Quill	0.0440622
goo	0.0438519
splotch	0.0434795
marble	0.0432961
"chewing gum"	0.0430482
tubing	0.0429282
Cheddar	0.0427318
lipstick	0.0424201
Sari	0.0423908
gauze	0.0421706
confetti	0.0418734
cornmeal	0.0417597
woodcut	0.041357
"sport shirt"	0.0413365
carnation	0.0412335
corduroy	0.041145
vermiculite	0.0404939
Kool-Aid	0.0404877
gravel	0.0404628
panty	0.0404074
latex	0.0403845
crumb	0.0402341
binder	0.0400575
))
(chalkboard (desc 2475.74) (sims
blackboard	0.260141
"sheet of paper"	0.101877
"piece of paper"	0.091776
napkin	0.0766632
stationery	0.0645244
"traffic circle"	0.062648
mantelpiece	0.0625969
typewriter	0.0591725
"clean slate"	0.0553459
crock	0.0535862
"bulletin board"	0.0526502
"hole in the ground"	0.0516251
comforter	0.0507951
"filing cabinet"	0.0492945
"grocery bag"	0.0492221
"National Register"	0.0487304
"jigsaw puzzle"	0.0482002
plasterboard	0.0474777
Ellipse	0.0473671
"computer screen"	0.0466754
"shower curtain"	0.0462991
motherboards	0.0462071
"mink coat"	0.0460683
birdbath	0.0457275
headstone	0.0455792
TINDERBOX	0.045302
parchment	0.0443865
crayon	0.0435915
letterhead	0.0433788
easel	0.0427858
soundstage	0.0418091
stool	0.0417959
blinder	0.0417003
"particle accelerator"	0.0416343
radiator	0.0416003
"storm cloud"	0.0414378
"slip of paper"	0.0412595
urinal	0.0407981
"radio telescope"	0.0407679
tombstone	0.0407055
"video screen"	0.0405512
beater	0.0405011
"torture chamber"	0.0404411
pinata	0.0403893
knapsack	0.0401966
paneling	0.0401856
knoll	0.0400978
))
(challenge (desc 166703) (sims
problem	0.150997
task	0.145948
threat	0.14396
obstacle	0.135965
difficulty	0.135597
opportunity	0.127174
issue	0.125274
question	0.116622
change	0.114104
pressure	0.114049
danger	0.112061
risk	0.111331
criticism	0.10936
consequence	0.108776
dilemma	0.107938
need	0.104371
possibility	0.104293
setback	0.103916
situation	0.103912
impact	0.101748
priority	0.101072
competition	0.100714
concern	0.100643
opposition	0.10061
responsibility	0.100119
reality	0.0998646
appeal	0.0988643
objection	0.0980989
strategy	0.0976166
achievement	0.0965495
thing	0.0963184
support	0.0962941
prospect	0.0953869
disaster	0.0953281
crisis	0.0949617
battle	0.0940187
struggle	0.0939674
effort	0.0929046
trend	0.0925387
development	0.0921943
importance	0.0920933
burden	0.0916087
commitment	0.0916051
hurdle	0.0915837
matter	0.0909953
experience	0.0907239
proposal	0.0906473
demand	0.0905922
approach	0.0902249
success	0.089896
idea	0.0898771
potential	0.0897657
uncertainty	0.0894585
factor	0.0894495
role	0.0894472
crises	0.0892074
attack	0.0889543
aspect	0.0888716
implication	0.0886875
lawsuit	0.0886108
complaint	0.0883901
action	0.0878933
chance	0.0874508
decision	0.0873768
benefit	0.0872595
hardship	0.0871732
fight	0.0867368
trouble	0.0862568
response	0.0859829
alternative	0.0856057
reform	0.0853316
argument	0.0852623
move	0.0847296
tragedy	0.0846333
advantage	0.0844802
resistance	0.0843772
attempt	0.0842577
accomplishment	0.0837216
embarrassment	0.0837088
message	0.0831052
case	0.0830382
step	0.0825538
process	0.0825118
blow	0.0823817
goal	0.0823141
objective	0.0822625
failure	0.0820976
plan	0.0819812
campaign	0.0816408
conflict	0.0815506
policy	0.081378
measure	0.0811455
pitfall	0.0808863
constraint	0.0808852
controversy	0.0802862
improvement	0.0802409
reaction	0.0802008
lesson	0.0801094
result	0.0800962
call	0.0798323
complexity	0.0794346
claim	0.0792924
test	0.0791894
theme	0.0790361
cost	0.0790138
interest	0.0789521
debate	0.0789488
attention	0.0788636
choice	0.0788525
requirement	0.0787779
solution	0.0787078
difference	0.0787042
challenger	0.0785045
progress	0.0784021
scenario	0.0783689
hazard	0.0783637
event	0.0781604
reason	0.0781
accusation	0.0777678
future	0.0776878
fact	0.0776211
job	0.0776002
turmoil	0.0774071
protest	0.0771097
agenda	0.0770882
weakness	0.0768547
option	0.0768114
distraction	0.0767364
stress	0.0764887
concept	0.0763601
initiative	0.0762797
shift	0.0762642
suggestion	0.076186
effect	0.0761789
phenomenon	0.0761496
peril	0.0760899
influence	0.0758517
contribution	0.0758468
work	0.0757907
mistake	0.075539
innovation	0.0753917
vision	0.0752963
worry	0.0752932
growth	0.0751928
quandary	0.0751572
promise	0.0751517
one	0.0751228
loss	0.0751149
circumstance	0.0749616
defeat	0.074869
impediment	0.0747617
instability	0.0746876
backlash	0.0746097
kind	0.0745186
hope	0.0745097
globalization	0.0744898
topic	0.0740815
disruption	0.0740015
adversity	0.0738247
bid	0.0736556
key	0.0736457
flaw	0.0735795
shortage	0.073469
woe	0.0734566
adjustment	0.0734557
violence	0.0731884
cause	0.0731832
environment	0.0730266
disappointment	0.072896
life	0.0728524
this	0.0727488
significance	0.0725055
standard	0.0724143
"stumbling block"	0.0723885
charge	0.0722929
way	0.0722916
element	0.072236
contradiction	0.0720957
legacy	0.0719203
scrutiny	0.0718992
activity	0.0718743
vote	0.0717479
news	0.0717275
something	0.0717114
catastrophe	0.0716592
strength	0.0716488
answer	0.0715469
politics	0.0712659
endorsement	0.0712558
warning	0.0711545
headache	0.0711359
incentive	0.0710501
program	0.0709342
condition	0.0708833
candidacy	0.0708255
it	0.0708121
relationship	0.0707714
damage	0.0704773
barrier	0.0701337
tension	0.069991
))
(challenger (desc 62939.8) (sims
rival	0.178185
contender	0.169323
opponent	0.155488
candidate	0.14997
front-runner	0.122195
nominee	0.111935
"Bill Bradley"	0.110798
aspirant	0.107425
"George W. Bush"	0.101452
competitor	0.100733
Democrat	0.10006
incumbent	0.0994127
Republican	0.0961112
Bush	0.0921493
senator	0.0899463
frontrunner	0.089601
foe	0.0888677
Bradley	0.0883678
McCain	0.088283
"Al Gore"	0.0882756
hopefuls	0.086761
gore	0.0861847
"John McCain"	0.0846601
conservative	0.0804162
candidacy	0.0802805
Governor	0.0799136
successor	0.0797817
challenge	0.0785045
"Steve Forbes"	0.076547
supporter	0.0764075
favorite	0.0762752
opposition	0.0754864
aide	0.0741185
"vice president"	0.0733627
"Bob Dole"	0.0728701
leader	0.0716888
politician	0.0715223
ally	0.0713761
"Republican George W. Bush"	0.0712652
"running mate"	0.0708762
Giuliani	0.0700466
winner	0.0695269
moderate	0.0684351
alternative	0.067968
champion	0.0676669
nomination	0.0674947
backer	0.0671382
adviser	0.0670106
DOLE	0.0665088
lawmaker	0.06625
bidder	0.0654234
"Charles Schumer"	0.0653646
Mayor	0.0651221
reformer	0.0649483
adversary	0.0648004
"Social Democrats"	0.0646307
standard-bearer	0.0645953
"Pat Buchanan"	0.06425
"George Bush"	0.0641059
party	0.0640948
congressmen	0.0639227
critic	0.0638327
underdog	0.0627932
Pataki	0.0615473
"first lady"	0.0612352
Netanyahu	0.0610823
Victor	0.0607135
contestant	0.0601411
Schumer	0.0600954
"Rick Lazio"	0.0599928
"Hillary Rodham Clinton"	0.0599425
heir	0.0598564
Congressman	0.0596859
legislator	0.0596629
Forbes	0.0596332
player	0.059094
campaign	0.0588841
D'Amato	0.0587242
Lazio	0.0586757
Labastida	0.05838
"Gray Davis"	0.0579934
Coalition	0.0578147
"Elizabeth Dole"	0.0576581
GOP	0.0568027
Speaker	0.0567638
Buchanan	0.0567042
"dark horse"	0.0562993
Clinton	0.056155
outsider	0.0561521
member	0.0561436
"heir apparent"	0.0560561
enemy	0.0559325
insurgent	0.0558683
"George Pataki"	0.0556448
"Gary Bauer"	0.0555985
endorsement	0.0553987
delegate	0.0546151
advocate	0.0545314
liberal	0.0544407
voter	0.0543494
independent	0.0543025
rider	0.0542226
finisher	0.0540708
"Hillary Clinton"	0.0536636
"political party"	0.0536478
centrist	0.0534195
newcomer	0.0530381
golfer	0.0529755
heavyweight	0.0527204
runner	0.0525279
"press secretary"	0.052506
fighter	0.0520454
bid	0.052039
pursuer	0.0519797
boxer	0.0517475
strategist	0.0517429
defender	0.0516704
finalist	0.0513608
contest	0.0513323
"elected official"	0.0511685
activist	0.0510419
nationalist	0.0508142
sponsor	0.0507654
democratic	0.0507439
appointee	0.0506696
Holyfield	0.0506545
Mauro	0.0504037
hero	0.0503909
MP	0.050332
athlete	0.0503094
suitor	0.0502983
"Bill Clinton"	0.0502087
contributor	0.0499705
"Christian Democrats"	0.0496926
Barak	0.049664
constituency	0.049476
Chancellor	0.0494434
Texan	0.0492562
"Alan Keyes"	0.0491483
Quayle	0.0490384
plaintiff	0.0489597
entrant	0.0489097
"Dan Quayle"	0.0488168
campaigner	0.0487552
Sampras	0.0486438
pacer	0.0484656
victory	0.0483126
guy	0.0482941
driver	0.0482116
chance	0.0482115
swimmer	0.0481353
Hingis	0.0477979
"People's Party"	0.0477535
horse	0.0476646
Quartey	0.0473754
Yankee	0.0473295
"Labor Party"	0.0470919
"Evander Holyfield"	0.0470098
hard-liner	0.0469564
Chavez	0.0469328
"Martina Hingis"	0.0468464
"cabinet minister"	0.0468217
reelection	0.0468081
"Democratic Party"	0.046653
"Pete Sampras"	0.0466442
"senate campaign"	0.0466376
businessman	0.0466366
Lungren	0.0466062
"political leader"	0.0465592
colleague	0.0464659
filly	0.0464563
Tyson	0.0463642
manager	0.0460713
superpower	0.0459518
officeholder	0.0459335
proposal	0.045924
"Shimon Peres"	0.045903
attacker	0.0457528
primary	0.0457334
prospect	0.0456134
Vallone	0.0455344
partner	0.0453542
Florio	0.0453129
"Gerhard Schroeder"	0.0452836
stalwart	0.0451151
predecessor	0.0451033
Corzine	0.0450199
"Lennox Lewis"	0.0449927
"security adviser"	0.04497
surrogate	0.0449356
proponent	0.0448972
chairman	0.0448836
"chief of staff"	0.0448287
Schroeder	0.0448129
competition	0.0447951
threat	0.0447267
veteran	0.0447188
"seeded player"	0.0447026
donor	0.0446595
"Lamar Alexander"	0.0446562
))
(chamber (desc 75663.1) (sims
Senate	0.160776
parliament	0.154711
courtroom	0.144984
house	0.143904
"State Duma"	0.141108
"House of Representatives"	0.140497
Duma	0.137706
legislature	0.136104
Assembly	0.136032
"National Assembly"	0.130899
"Lower House"	0.124756
Knesset	0.123046
"House of Commons"	0.121025
room	0.119066
"state legislature"	0.117105
"Federation Council"	0.114703
Congress	0.11432
Council	0.110169
committee	0.109414
hall	0.10685
auditorium	0.104841
Majlis	0.104512
office	0.103948
"European Parliament"	0.103523
"Upper House"	0.0969018
Bundestag	0.096379
"general assembly"	0.0950537
cabinet	0.092682
"conference room"	0.0921811
"Russian State Duma"	0.09207
hallway	0.0911257
lobby	0.0890765
"city council"	0.0883028
court	0.0872568
"legislative assembly"	0.0855196
"dining room"	0.0854026
ballroom	0.0850263
"Oval Office"	0.0845441
"Lok Sabha"	0.0834823
"House of Lords"	0.0832031
"White House"	0.082788
"Judiciary Committee"	0.0818865
panel	0.0815288
Capitol	0.0807558
classroom	0.0806329
"chamber of commerce"	0.0790036
"locker room"	0.0782513
"conference committee"	0.0781333
"House Judiciary Committee"	0.0780665
bedroom	0.0776574
church	0.0772553
gallery	0.0767197
commission	0.0763204
clubhouse	0.0762025
association	0.0759337
kitchen	0.0744309
subcommittee	0.0743238
"living room"	0.0737382
"Security Council"	0.0736632
building	0.0734617
courthouse	0.0729502
body	0.0724405
board	0.0722244
ministry	0.0721641
session	0.0720446
party	0.0707416
library	0.0698611
federation	0.0698581
"legislative council"	0.0696958
"closed session"	0.0693004
government	0.0691922
theater	0.0690859
stadium	0.0688732
studio	0.0676808
palace	0.0672918
rotunda	0.0672242
apartment	0.0672138
floor	0.0669753
"finance committee"	0.066493
arena	0.0664592
courtyard	0.0659012
lawmaker	0.0656958
union	0.0655637
MPR	0.0653821
"U.N. Security Council"	0.0650987
basement	0.0648772
"U.S. Chamber of Commerce"	0.0647722
seat	0.0647104
organization	0.0643445
forum	0.0643424
bathroom	0.0642023
"dressing room"	0.0640462
Coalition	0.0638879
chapel	0.0632185
"Senate Judiciary Committee"	0.0630887
corridor	0.0630419
lounge	0.0628291
meeting	0.0626349
garage	0.0625837
booth	0.0625532
cabin	0.0624738
group	0.062251
cafeteria	0.0621779
conference	0.0621204
suite	0.0620531
gymnasium	0.0619312
"political party"	0.0616547
square	0.0616324
state	0.0615108
foyer	0.0614482
"Supreme Court"	0.0614471
vote	0.0613896
Speaker	0.0612302
Washington	0.0608977
bar	0.0608466
"board of directors"	0.0606534
compartment	0.0604529
gym	0.0603318
hospital	0.0602105
NPC	0.0600669
center	0.0600497
Dome	0.0599968
"parking lot"	0.0599892
majority	0.05997
"Consultative Assembly"	0.059896
"European Commission"	0.0597435
"United Nations Security Council"	0.0596951
"Northern Ireland Assembly"	0.05969
balcony	0.0591611
sanctuary	0.0589282
department	0.0588269
plc	0.0585071
restaurant	0.0585057
"board of education"	0.0584356
"Democratic Party"	0.0583886
closet	0.0583104
cubicle	0.0582678
"polling station"	0.0581553
residence	0.05813
proceeding	0.0580389
"standing committee"	0.0578685
garden	0.0578457
museum	0.0576922
hotel	0.0576251
AFL-CIO	0.0575801
tent	0.0575408
mansion	0.0574429
"school board"	0.0574108
school	0.0574106
city	0.0572567
headquarter	0.0571825
"State Department"	0.057061
IOC	0.0570568
authority	0.057044
cell	0.0570163
delegation	0.0567525
caucus	0.0567284
pit	0.0565936
"city hall"	0.056561
door	0.0563982
elevator	0.0562864
synagogue	0.0559368
district	0.0558667
compound	0.0558056
space	0.0556953
USOC	0.0556099
embassy	0.0555006
"trade union"	0.0554556
region	0.055401
legislator	0.0552958
passageway	0.0552061
Presidium	0.055198
Secretariat	0.0551545
tunnel	0.0551485
"central bank"	0.0550072
box	0.0549384
area	0.0548697
hearing	0.0548453
administration	0.0544776
store	0.0544734
Cathedral	0.0544579
Republican	0.0544204
bureau	0.0542197
"National Council"	0.054137
member	0.0540889
tomb	0.054053
cafe	0.0539986
institute	0.0539734
bloc	0.0537783
"International Olympic Committee"	0.0537511
club	0.0537385
module	0.0536726
cockpit	0.053633
"Liberal Democratic Party"	0.0534608
"Foreign Ministry"	0.0531239
agency	0.0531019
convention	0.0529292
community	0.0527963
cage	0.0527093
laboratory	0.0527052
))
("chamber music" (desc 4214.5) (sims
recital	0.132751
"folk dance"	0.12945
"musical theater"	0.12912
"modern dance"	0.124809
"folk music"	0.124091
"classical music"	0.123876
symphony	0.122031
concerto	0.117674
opera	0.116311
"folk song"	0.111028
"string quartet"	0.109313
"Peking Opera"	0.105086
ballet	0.0990606
bluegrass	0.0982446
acrobatics	0.0952893
Haydn	0.0914349
Jazz	0.0911861
"song and dance"	0.0910026
merengue	0.0907727
mariachi	0.0904836
cappella	0.0895499
oldies	0.0890583
"popular music"	0.0842926
"Beijing Opera"	0.0833503
sonata	0.0831917
klezmer	0.0821122
oratorio	0.0799074
"Amazing Grace"	0.0780457
"big band"	0.0771936
repertory	0.0765669
"Piano Concerto"	0.0765069
Reggae	0.0759303
encore	0.0746782
orchestra	0.0745815
"Fifth Symphony"	0.073991
"folk art"	0.0733376
cabaret	0.0726802
"R&AMP;B"	0.0723312
oboe	0.0722343
capella	0.0720019
saxophone	0.0715557
"symphony orchestra"	0.0712783
choir	0.07122
solo	0.0705023
gospel	0.0703537
rhythm-and-blues	0.0702711
"New York Philharmonic"	0.0672092
"spoken word"	0.0666627
"puppet show"	0.0663967
Zydeco	0.0653381
calypso	0.0652285
"pop music"	0.0649517
Requiem	0.0628042
ballgames	0.0628041
"avant garde"	0.062463
"Lilith Fair"	0.0622441
Mozart	0.0619943
hourlong	0.0619641
"Star-Spangled Banner"	0.0615607
recitative	0.061117
Bach	0.0611015
Lullaby	0.0609782
"Vienna Philharmonic"	0.0609046
"Boston Pops"	0.060877
striptease	0.0608325
"martial art"	0.0606005
"Christmas carol"	0.0601311
flamenco	0.0600982
Mahler	0.0599762
Motown	0.059844
"rock 'n' roll"	0.0596718
operetta	0.0594739
harpsichord	0.0588952
singing	0.0588396
"world premiere"	0.0586768
folklore	0.0586034
tango	0.0585837
pantomime	0.0583962
"dance music"	0.0583752
Porgy	0.0578949
puppetry	0.0574995
percussion	0.0569162
Aria	0.0568883
"opera company"	0.056812
ragtime	0.0567562
poetry	0.0566234
Stravinsky	0.0558398
Chopin	0.0547038
bagpipe	0.0545651
calligraphy	0.0545224
"country music"	0.0540464
samba	0.0539965
Gershwin	0.0539627
"rock and roll"	0.0538677
choreography	0.0535382
"opera house"	0.0535376
ensemble	0.0534321
Chorale	0.0531573
special-teams	0.0529312
"ballet company"	0.0527128
collaborative	0.052694
Strauss	0.0526095
Turandot	0.0525069
Monkees	0.0524434
vaudeville	0.0521638
Falstaff	0.0520014
"Boston Symphony"	0.0519724
"title role"	0.0517379
chorus	0.0514802
"Kung Fu"	0.0509207
Schubert	0.0508762
Salome	0.0505806
guitar	0.0503839
cantata	0.0502587
Wagner	0.0502209
Ellington	0.0500331
Nutcracker	0.0499031
surrealist	0.049517
"Don Giovanni"	0.0492148
Germanic	0.048823
mime	0.0488033
solitaire	0.048149
duet	0.0481007
karaoke	0.0479978
soloist	0.0478344
off-Broadway	0.0478053
quartet	0.0477206
"German language"	0.0475374
violin	0.0474862
"Peony Pavilion"	0.047268
"musical score"	0.0470896
Marimba	0.0470872
"Carnegie Hall"	0.0468144
Beethoven	0.0464948
"Woody Guthrie"	0.046463
Pavarotti	0.0461638
"leisure time"	0.0461367
"national anthem"	0.0460618
improv	0.0460475
"fine art"	0.0460434
ragtag	0.0459679
polka	0.0456371
Tanglewood	0.0456182
Aida	0.0454963
Brahms	0.0454914
multimedia	0.0453784
Scrabble	0.0451295
"Tina Turner"	0.0450043
cello	0.0449432
aerobics	0.0448679
"adult education"	0.044553
Sax	0.0444196
"fine arts"	0.0442973
bolero	0.0442884
"Home Run Derby"	0.0442466
noontime	0.0442176
clarinet	0.0441526
Americana	0.043628
improvisation	0.043359
"Symphony No. @"	0.0432087
Carol	0.0431306
matinee	0.043081
Haj	0.0429629
"professional baseball"	0.0428934
Gymnastics	0.0426123
"musical instrument"	0.0424916
"public speaking"	0.042006
over-@@	0.0419881
circus	0.0419055
ten-day	0.0418898
Opry	0.0417696
"art exhibition"	0.04152
theatre	0.0414595
bullfighting	0.041446
ditty	0.0412518
VCD	0.0412276
Tchaikovsky	0.0410761
"piano lesson"	0.0410598
Funk	0.0410106
"Lincoln Center"	0.0408765
skit	0.0407152
bebop	0.040319
transcription	0.0403044
Scrooge	0.0403043
bluesy	0.0400124
Bolshoi	0.040008
))
("chamber of commerce" (desc 37801.7) (sims
"U.S. Chamber of Commerce"	0.156579
association	0.144296
"Hong Kong Trade Development Council"	0.141299
federation	0.125213
"business community"	0.120614
"business leader"	0.119574
"trade union"	0.11953
"National Association of Manufacturers"	0.115363
"Board of Investment"	0.113519
"National Federation"	0.111233
bureau	0.109935
institute	0.109651
ministry	0.109581
"Foreign Ministry"	0.107206
NAACP	0.102556
"Ministry of Health"	0.10223
"World Bank"	0.102003
AARP	0.101737
"central bank"	0.100942
Council	0.100727
"Democratic Leadership Council"	0.0992972
"National Association"	0.0991017
Confederation	0.0982768
AmCham	0.0972386
businessmen	0.0963518
"stock exchange"	0.0960254
consulate	0.095988
"think tank"	0.0950628
organization	0.0943591
AFL-CIO	0.0941235
"Sierra Club"	0.0940156
"Securities Industry Association"	0.0938883
"Ministry of Culture"	0.0921762
"trade association"	0.0921566
embassy	0.0918985
"Asia Society"	0.0918416
"World Health Organization"	0.0915501
"All-China Youth Federation"	0.090398
"Ministry of Science"	0.0886099
"Department of Agriculture"	0.0880701
department	0.0869437
"Red Cross"	0.0868813
"travel agency"	0.0868272
"Department of Health"	0.0865315
"Christian Coalition"	0.0861922
government	0.085858
"Common Cause"	0.0857899
"Ministry of Education"	0.0855781
"National Council of La Raza"	0.0855556
"labor union"	0.0855047
"planning commission"	0.0854717
"United Nations Children's Fund"	0.085398
"Hong Kong Federation"	0.0852951
commission	0.0851007
"National Council of Churches"	0.0850766
"high commissioner"	0.0849172
"Ministry of Foreign Affairs"	0.0848584
"municipal government"	0.084787
"foreign minister"	0.0847818
"Amnesty International"	0.0846587
agency	0.0846229
"State Statistics Bureau"	0.0845361
"Hong Kong Tourist Association"	0.0839666
ADB	0.0838738
"World Tourism Organization"	0.083867
office	0.0836522
"Human Rights Campaign"	0.083316
university	0.083275
authority	0.0829923
"Cuban American National Foundation"	0.0828833
"American Petroleum Institute"	0.0826861
"Education Department"	0.0825422
committee	0.082207
Secretariat	0.0820649
union	0.0818761
corporation	0.0817485
"World Economic Forum"	0.0816924
"Ministry of Agriculture"	0.0816066
delegation	0.0815343
"Democratic National Committee"	0.0810909
"National Press Club"	0.080831
"Urban League"	0.0807905
"Association for Friendship"	0.0806742
"American Association of Retired Persons"	0.0804306
"Finance Ministry"	0.0802935
"Health Ministry"	0.0799813
"American Heart Association"	0.0798969
"local government"	0.0798798
Ambassador	0.0797393
"Interior Ministry"	0.0793805
"Red Cross Society"	0.0792122
chamber	0.0790036
branch	0.0789272
"International Labor Organization"	0.0786538
"Department of Commerce"	0.0785455
"European Commission"	0.078354
"American Cancer Society"	0.0783389
"Anti-Defamation League"	0.0780559
"United Nations Development Program"	0.0779689
police	0.0774002
IPU	0.0772885
bank	0.0772554
"Health Department"	0.0772251
"Defense Ministry"	0.0770909
"Ministry of Industry"	0.0768533
chapter	0.0767122
"National Organization"	0.0766477
"Department of Transportation"	0.0766407
foundation	0.0766129
firm	0.0762386
"National Association of Securities Dealers"	0.0762035
UNICEF	0.0759303
"World Jewish Congress"	0.075869
"Airport Authority"	0.0758595
"foreign office"	0.0758496
"American Red Cross"	0.0757636
"American Medical Association"	0.07561
"Human Rights Watch"	0.0756081
"United Nations Conference on Trade and Development"	0.0755936
BOI	0.0753848
"Department of Education"	0.0753719
"Agriculture Ministry"	0.0745392
"business executive"	0.0743193
"U.S. State Department"	0.0742934
"Ministry of Foreign Trade and Economic Cooperation"	0.0741987
guild	0.0739389
"Department of Foreign Affairs"	0.0739292
"Council on Foreign Relations"	0.0739127
entrepreneur	0.0734135
"business organization"	0.0731336
"International Monetary Fund"	0.0731184
Interpol	0.0730469
"Justice Ministry"	0.072971
FIFA	0.0729187
UNESCO	0.0727317
"Air Transport Association"	0.0726586
"Asian Development Bank"	0.0726574
Industrialist	0.0724561
"Log Cabin Republicans"	0.072155
"All-China Federation"	0.0720935
"Congressional Black Caucus"	0.0716386
"political party"	0.0716048
Consulate-General	0.0715443
parliament	0.0714661
PATA	0.0714493
OSCE	0.0714424
"Department of Labor"	0.0713584
"police department"	0.0712987
Mayor	0.071143
"National Tourism Administration"	0.0711405
consortium	0.0711033
"finance minister"	0.0710462
"Center for Strategic"	0.0710341
"armed forces"	0.071019
"television station"	0.0709819
"National Education Association"	0.0708663
"Israeli Embassy"	0.0708417
society	0.0708054
"International Committee"	0.070794
"Arab League"	0.0702197
"American Civil Liberties Union"	0.0701346
"National Alliance"	0.0701296
"United Nations"	0.0701295
"Ministry of Public Health"	0.0699306
"American Bar Association"	0.0697552
UNDP	0.0697527
"Information Office"	0.0696915
"National Conference"	0.0696691
"religious leader"	0.0695606
"Motion Picture Association of America"	0.0695349
hospital	0.0695153
"nonprofit organization"	0.0692133
ADL	0.069189
"United Way"	0.0691544
bureaus	0.0688046
"power company"	0.0687447
"Inter-Parliamentary Union"	0.0685972
"financial institution"	0.0685829
airport	0.0684726
"Chinese Academy of Social Sciences"	0.0684598
"World Food Program"	0.0683968
airline	0.0682664
ESCAP	0.0682432
OAU	0.0681144
conference	0.068033
"Democratic Party"	0.0679977
"International Federation"	0.0677085
resident	0.0676373
"Department of Trade and Industry"	0.0675376
"State Economic and Trade Commission"	0.0675101
"Chinese Foreign Ministry"	0.0674434
"China National Tourism Administration"	0.0674372
"College Board"	0.0673362
"Socialist Party"	0.0672706
U.N.	0.0672114
"right to life"	0.0671906
"Family Research Council"	0.0670409
OECD	0.0668542
"research center"	0.0668425
UNHCR	0.0668371
))
("chamber orchestra" (desc 1132) (sims
"jazz band"	0.0990427
"string quartet"	0.0924922
"military band"	0.0856385
mandolin	0.0784691
clarinet	0.0739795
"symphony orchestra"	0.0735531
"Vienna Philharmonic"	0.0705436
cello	0.0703413
soloist	0.0695017
"Jessye Norman"	0.0692188
sextet	0.0687029
"ballet company"	0.0669921
clarinetist	0.0665991
"Philadelphia Orchestra"	0.0657885
harmonica	0.0639028
oboe	0.0628944
"big band"	0.0628365
"fire drill"	0.0626781
Mohr	0.0622215
"Piano Concerto"	0.0620878
percussionist	0.0598181
"joint-stock company"	0.0589596
"Berlin Philharmonic"	0.0563667
"steel guitar"	0.0562115
"blue angel"	0.0534032
harpsichord	0.0528587
continuum	0.0525514
stagehand	0.0522101
lass	0.0522093
"Cleveland Orchestra"	0.0521295
enumeration	0.0518922
"brass band"	0.051879
Haarhuis	0.0516042
Viola	0.0514464
"ballet dancer"	0.051329
"rock band"	0.0510977
bagpiper	0.0506157
bagpipe	0.0492078
saxophone	0.0482749
Quentin	0.0480024
airdrop	0.046879
"pass catcher"	0.0460838
"benefit concert"	0.0460765
walk-through	0.0460093
CD-R	0.0459912
"Philip Glass"	0.0456824
"Jon Bon Jovi"	0.0455751
"Islamic Revolution Guards Corps"	0.0455668
"manor house"	0.0455158
Cliburn	0.0452354
Begala	0.0450094
accordion	0.0449294
"booking agent"	0.0444187
megastar	0.0440724
cabinetmaker	0.0437036
musicologist	0.043701
"field trial"	0.0436102
Fiennes	0.0435919
baritone	0.0434938
woodwind	0.0433053
"Boston Symphony Orchestra"	0.0432138
taskforce	0.0430715
"City Ballet"	0.0429869
Cleese	0.0429263
Philharmonic	0.0428424
"Boston Symphony"	0.0428206
nobleman	0.042742
"shell game"	0.0425653
"jam session"	0.0423419
"private foundation"	0.0420323
mime	0.0419978
inspectorate	0.0419367
"Joni Mitchell"	0.0419317
"army engineer"	0.0418969
clothesline	0.041868
"subversive activity"	0.0418514
organist	0.0418068
consortia	0.0414658
"musical group"	0.0411287
headcount	0.0410971
raffle	0.0410058
Azinger	0.0409261
"numbers game"	0.0408811
"fund-raising drive"	0.0408404
"American Ballet Theater"	0.040733
"Wynton Marsalis"	0.0405318
"sea captain"	0.0404124
"television star"	0.0403518
Supremes	0.0403296
"Frank Jobe"	0.0402753
Silas	0.0402724
"Diana Ross"	0.0401753
))
(Chamberlain (desc 11723) (sims
"Wilt Chamberlain"	0.166952
Abdul-Jabbar	0.0981207
"Magic Johnson"	0.0959772
Gretzky	0.0917487
Glover	0.0913719
Barkley	0.0872425
McHale	0.0862273
Blackman	0.086029
DiMaggio	0.0836209
"Elgin Baylor"	0.0835709
"Oscar Robertson"	0.0833545
"Julius Erving"	0.0829056
Tuinei	0.0822438
Erving	0.0819778
Odom	0.0814348
Landry	0.0811415
Goldstein	0.0810874
Johnson	0.0807018
Holdsclaw	0.0804
Sabonis	0.0789102
Hess	0.0779859
Hardaway	0.0776973
Faulk	0.0774068
Smits	0.0772752
duncan	0.077218
Bryant	0.0762679
"Michael Jordan"	0.0758781
Gatling	0.0757184
Trepagnier	0.0756798
Elliott	0.0755147
Armstrong	0.0753111
Phills	0.0750593
Ewing	0.074768
Perrot	0.0747294
Schulz	0.0741622
Robinson	0.0735431
Gonzalez	0.0733405
Jeffers	0.0729851
Finley	0.071876
Romanowski	0.0717747
"Larry Bird"	0.0716454
Horry	0.0716362
"Shaquille O'Neal"	0.0715814
Fizer	0.0714409
Laudrup	0.0711208
Russell	0.0709959
Plummer	0.0709137
Carter	0.0708852
Szczerbiak	0.0708468
"Bill Russell"	0.0706808
"Fred Claire"	0.070537
Mcbride	0.0705187
Olowokandi	0.0704372
"Isiah Thomas"	0.0702383
bullock	0.0696756
Malone	0.0696442
Messier	0.069616
Fisk	0.0691649
Ramsey	0.069
Ramirez	0.0688568
Maxwell	0.0688509
fisher	0.0687692
Joyner-Kersee	0.0687207
Peterson	0.0687187
Sharpe	0.068616
Shepard	0.0686062
O'Neal	0.0685656
Fortson	0.0685375
wilt	0.0684183
Iverson	0.0683507
Rodman	0.0681852
"Kareem Abdul-Jabbar"	0.0680483
Patterson	0.0678108
Olajuwon	0.0678001
"Del Piero"	0.0677241
Irwin	0.0676714
Abdur-Rahim	0.0676236
Stewart	0.0674299
Camby	0.067426
Menuhin	0.0669501
Webber	0.0668567
Pippen	0.0668473
Hershiser	0.066562
Autry	0.0663468
Elway	0.0661516
Taylor	0.0661032
"Charles Barkley"	0.0659453
Miller	0.0658213
Najera	0.0657182
Wilkins	0.0657016
Daley	0.0656684
Lewis	0.0652869
Jagr	0.0649526
Pena	0.0648442
Wells	0.0646097
Shaw	0.0644934
Sprewell	0.064401
Hamm	0.0643065
"Joe DiMaggio"	0.0642679
Brister	0.0640509
McGwire	0.0639533
Anderson	0.0638173
Crenshaw	0.0638106
Tarver	0.0636294
Yzerman	0.0636243
Hart	0.0636219
Schmid	0.0635754
Briere	0.0635166
Duchesne	0.0634722
Dixon	0.0633303
Mutombo	0.0633269
Trudeau	0.0632336
Kidd	0.0632238
Molinari	0.0629739
Garcia	0.0628977
Williams	0.0628495
Carroll	0.0628192
Wallace	0.0627592
Rambis	0.0626719
O'Connell	0.0626686
bender	0.0626559
Connolly	0.0625633
"Jerry West"	0.0625146
"David Robinson"	0.0623668
Soward	0.0622587
Kearse	0.0622562
Skakel	0.0622344
Lemieux	0.0622061
Sarazen	0.0622037
Leslie	0.0622023
Greenberg	0.0619953
Logue	0.0619667
Chmura	0.0619204
Drexler	0.061704
Davis	0.0613764
Nowitzki	0.0612903
Ferguson	0.0612782
Sealy	0.0612538
smith	0.0611105
Nicklaus	0.0610841
Polynice	0.0610497
Payton	0.0609525
Garnett	0.0609292
Coleman	0.0609076
Ellis	0.0608723
Thomas	0.0608415
Wright	0.0607936
Goodman	0.0607906
Dorsett	0.0607662
Solis	0.0607646
Reid	0.0606687
Blumenthal	0.0605001
Sanders	0.060464
MARBURY	0.0603805
Payne	0.0603567
Watson	0.0603264
Scalabrine	0.0601911
Perec	0.0601388
Marino	0.0601066
Sapp	0.0600635
Hartman	0.0600582
Daly	0.0600232
Harbaugh	0.0599871
Sosa	0.0599554
Nyerere	0.0599128
Moore	0.0597809
Hoddle	0.0597598
Zimmer	0.0597251
Flutie	0.0597209
Calloway	0.0596446
Lindros	0.0596291
Jackson	0.0594913
Harper	0.0594849
Mayfield	0.059458
Mullin	0.059371
Ryan	0.0593119
Greene	0.0592414
Trent	0.0592292
Whipple	0.0592249
petty	0.0591457
"Griffith Joyner"	0.0590727
Skinner	0.0589955
Byrd	0.0589842
Gibson	0.0589822
Elie	0.0589005
Francis	0.0588971
Walton	0.0588688
hogan	0.058803
martin	0.0587945
Pele	0.0587157
Ganga	0.0586222
Lockhart	0.0586051
Valenzuela	0.0585972
Irvan	0.0585577
Reese	0.0585188
"Bob Cousy"	0.0585154
walker	0.0585068
Maradona	0.0583536
Ritter	0.0583402
Jones	0.0583394
))
(chambermaid (desc 1773.07) (sims
bellhop	0.148852
busboy	0.104549
housekeeper	0.0945957
waitress	0.0763622
doormen	0.0732444
cashier	0.0721797
janitor	0.0698054
receptionist	0.06881
"Anne Frank"	0.0638953
Coronado	0.0614289
maid	0.0599619
"important person"	0.0588718
matron	0.0550269
"leading lady"	0.0540465
"maintenance man"	0.053936
"powder keg"	0.0533135
"exotic dancer"	0.0531995
"world traveler"	0.0529448
"shop assistant"	0.0520355
"George Robertson"	0.051913
"traveling salesman"	0.0518788
dishwasher	0.0516815
crewman	0.0514766
Ville	0.0508091
governess	0.0503963
paratroops	0.0502967
"occupancy rate"	0.0501084
lifeguard	0.0499909
"second person"	0.0499453
hyper	0.0496187
beautician	0.0496002
bimbo	0.0492029
"TV reporter"	0.0488308
"Dirty Dancing"	0.0487109
"black person"	0.0480497
doorman	0.0473143
commoner	0.0471246
sycophant	0.046417
punchline	0.046336
"guardian angel"	0.0460036
Englishwoman	0.0459874
capitalisation	0.0458489
stewardess	0.0452352
temptress	0.0451392
"New Democrat"	0.0448811
concierge	0.0447073
"hard worker"	0.0445572
cipher	0.0444241
seamen	0.0440856
"Paris St Germain"	0.0436759
"young actress"	0.0428814
"jazz band"	0.0427895
watchman	0.0427864
Vedrine	0.0425477
"giving birth"	0.0422557
divorcee	0.0421832
"David Copperfield"	0.0420475
"love child"	0.0420386
"Cary Stayner"	0.0419955
"Dallas Burn"	0.0417412
Intimidator	0.0417145
"guitar player"	0.0416695
supermodel	0.0415108
stockbroker	0.04151
"Kinder Bologna"	0.0413873
babysitter	0.0413477
first-grader	0.0412238
"chorus line"	0.04117
pro-choice	0.0410759
transsexual	0.0410257
Houdini	0.0408801
bruiser	0.0408088
whore	0.0407937
looker	0.0407642
"eye doctor"	0.0406993
custodian	0.0406835
Marichal	0.0405063
cellist	0.0404526
"Local @@"	0.0403901
"art dealer"	0.0403127
Ebenezer	0.0402659
whistle-blower	0.0402254
"good person"	0.0401348
))
(Chambers (desc 6665.23) (sims
Hatcher	0.0862071
Ruehe	0.080333
Carbonneau	0.078088
Joklik	0.0754758
Verbeek	0.0730133
Monahan	0.0729346
Grasso	0.0695729
Padilla	0.0693624
Rosen	0.0687101
Marinovich	0.068016
Kearin	0.0676971
Hersh	0.0675169
Skiles	0.0665109
Ramsey	0.0635389
Langenbrunner	0.0631664
Ludwig	0.062554
Martorano	0.0623971
McSorley	0.0620999
Haskins	0.06205
Advani	0.06202
Geiger	0.0617443
Fortier	0.0615813
Alarcon	0.0615279
Matthews	0.0615024
Simmons	0.0610805
Wenger	0.0605182
Hoffmann	0.060336
Ferraro	0.0601979
Nailon	0.0598731
Boles	0.0595876
Sydor	0.0591804
Owens	0.0588004
Fassett	0.0587937
Goossen	0.0587294
Limon	0.0586187
Pirro	0.0580937
Sanderson	0.058056
Flores	0.0579735
Eizenstat	0.0578151
Quinn	0.0578008
Wilkins	0.0573088
Donohue	0.0571903
Evans	0.0568924
Gonzales	0.0568316
Bates	0.0567814
Harris	0.0567783
"Richard Matvichuk"	0.0566113
Matvichuk	0.05647
Johnston	0.0562788
Sheppard	0.0561567
Edwards	0.0557789
Sommer	0.055599
Lyons	0.0555954
McDonough	0.0555535
Hawkins	0.0555364
Markovic	0.0554637
Difrancesco	0.0554621
Peterson	0.0553802
Kennelly	0.0551854
Welch	0.0551719
Ruggiero	0.0548327
Reyes	0.0547197
Drexler	0.0545825
Bullard	0.0545414
WARRICK	0.0544226
Francis	0.0543474
Fizer	0.0542098
O'Donnell	0.0541234
Plante	0.0540134
Silverman	0.0539054
Mallon	0.0538551
lauder	0.0536461
Lowery	0.0536352
Hallinan	0.0536241
Allchin	0.053477
Holloway	0.0534562
Barbour	0.0531916
Engler	0.0531829
Lawler	0.0531198
Nieuwendyk	0.0531094
Ebersol	0.0530889
Nasser	0.0530756
Guterres	0.0530588
Shipley	0.0530204
Inhofe	0.0529155
Bennett	0.0526256
Weiner	0.0526139
Akers	0.0525009
Braswell	0.0524805
Haney	0.0524309
Rosenberg	0.0523498
Ogata	0.0523461
Modano	0.0523019
hale	0.0522203
Newhouse	0.0522156
collins	0.0519079
Jennings	0.0518011
hodgson	0.0517934
Barnes	0.0517702
Davies	0.0517634
Muoneke	0.0517528
Coleman	0.0517393
Contreras	0.0517344
Farber	0.0516485
Dempsey	0.0515486
Arum	0.0515359
Keating	0.0514777
silber	0.0514031
Blake	0.0513996
"Darryl Sydor"	0.0513934
Jarrell	0.0513281
Howe	0.0513255
Auriemma	0.0513222
Goldin	0.0512449
Symington	0.0512185
Norris	0.0511844
DeBartolo	0.051115
Lewis	0.0510731
Fleischer	0.0510498
McCurry	0.0509223
Gauthier	0.0509154
Fagan	0.0506949
Calipari	0.0506939
Higgins	0.0506577
Skakel	0.0506011
Pratt	0.050599
Gillom	0.0505106
Egan	0.0505031
Carneal	0.0504668
Beasley	0.0503248
DERSHOWITZ	0.0503162
Pittman	0.0502775
Rossotti	0.0502474
Sharma	0.0501956
Kwan	0.050174
Meissner	0.0501681
Sorensen	0.0500957
Hodler	0.0500759
Carter	0.0500442
Schultz	0.0500164
Ellis	0.0500114
Nguyen	0.0499882
"Mike Modano"	0.0499761
Roberts	0.049969
Sanders	0.0499138
Tran	0.0498648
Bain	0.0498519
Rongen	0.0498166
Mathis	0.0498146
Insulza	0.0497785
Madden	0.0497586
Dunne	0.0497519
Burns	0.0496927
Keane	0.0496461
Solis	0.0496373
Valdez	0.0494089
"administration official"	0.0493421
Arbour	0.0493269
Flaherty	0.0493254
Kessler	0.0493212
"Justin Volpe"	0.0493139
Sheinbein	0.049277
Mullins	0.0492752
Whaley	0.0492413
Beazley	0.0491368
ROMNEY	0.0490988
Barrionuevo	0.0490528
Reimer	0.0490396
Runyan	0.0490243
Hess	0.0489902
Kerr	0.0489583
Elliott	0.0488835
Valenzuela	0.0488386
Najera	0.0488349
Butterworth	0.0487361
Bowers	0.0486202
Phillips	0.0485867
Machado	0.0485851
Richter	0.048574
Foley	0.0485469
Noe	0.0485334
McKinney	0.0485214
Fisk	0.0484781
Betts	0.0484623
Shapiro	0.0484243
Scharping	0.0484191
Faget	0.0484038
Powell	0.0483926
Romer	0.0483757
Laudrup	0.0483551
Olsen	0.0483501
Ramirez	0.0481865
McConnell	0.048169
Elias	0.0481341
Okada	0.0481332
Neff	0.0479554
Ferguson	0.0479216
Brady	0.0479156
Mann	0.0478814
Donnan	0.0478442
))
(Chamblee (desc 1716.86) (sims
"Sandy Springs"	0.105889
Norcross	0.105043
Dunwoody	0.0995728
Alpharetta	0.0915893
"Stone Mountain"	0.0899954
Gogel	0.0882059
Duluth	0.0878448
"Gwinnett County"	0.0822882
Smyrna	0.0791009
Lawrenceville	0.0758204
Americus	0.0756597
LaGrange	0.0751912
Ozaki	0.074007
McDonough	0.0724517
Buford	0.0701328
Cink	0.0698798
"Fred Funk"	0.06812
Carrollton	0.0674725
Stadler	0.0667123
Stockbridge	0.0665017
Thomasville	0.0660868
Conyers	0.0658288
Forsyth	0.0654699
Hoch	0.065139
"DeKalb County"	0.0645838
"Mark Brooks"	0.0643953
"Mark Calcavecchia"	0.0624774
Dougherty	0.0619461
Hejduk	0.0619247
Decatur	0.0609273
Suwanee	0.0599459
Lyons	0.0584782
Langham	0.0583688
Huston	0.0570424
"Fort Benning"	0.0569341
Chatsworth	0.0569054
"Rockdale County"	0.0568214
Fleisher	0.0565272
"Chris Perry"	0.0565057
"Bob Estes"	0.0564691
CAMILLA	0.0557805
Riverdale	0.0555816
"Fulton County"	0.055277
Inman	0.0546898
Winn	0.0541686
Dunlap	0.0540235
"Pitney Bowes"	0.0537848
"Paul Azinger"	0.053714
Beltran	0.053419
"Brad Faxon"	0.053196
Parnevik	0.0530196
"Larry Mize"	0.0529185
Brunswick	0.0523859
Redd	0.0519651
Artest	0.0517099
Dalton	0.0512462
Gatling	0.0511245
Calcavecchia	0.0509776
Majerle	0.0503378
Clayton	0.0500569
Fayetteville	0.0498082
Morrow	0.0494614
"Monroe County"	0.0491761
Webb	0.0490782
Janzen	0.0490775
Quigley	0.0486151
Azinger	0.0483639
"Carlos Franco"	0.0480518
"Packard Bell"	0.047839
Najera	0.0477093
Unh	0.0473131
Stephenson	0.0472673
Sherrill	0.0468565
Equifax	0.0467524
Naperville	0.0460857
Vidro	0.0456243
Bautista	0.0454934
Stricker	0.0453227
Hurst	0.0452553
"Predrag Mijatovic"	0.0448678
Maruyama	0.0445824
"Jason Elam"	0.0445082
Alfredsson	0.0443425
Netcenter	0.0440969
Covington	0.0438472
Schieffer	0.0436969
Buckhead	0.043659
Titov	0.0431561
Muller	0.042939
Gullit	0.0426495
Furyk	0.0425208
Aoki	0.0423158
"Dana Quigley"	0.0419526
Andrade	0.0416212
"Laura Davies"	0.0415509
Pak	0.041546
Newcombe	0.0415172
adenovirus	0.0415099
"Jeff Sluman"	0.0415033
"Loren Roberts"	0.0413897
"Israeli Foreign Ministry"	0.0413772
BEGAY	0.0412604
Magee	0.0412124
"Van de Velde"	0.0410661
"National Republican Congressional Committee"	0.0410454
Barrie	0.0410161
Lowery	0.0409171
Jeffers	0.0408953
Greensboro	0.040873
"Jim Furyk"	0.0407687
Torrance	0.0407525
Paulson	0.0407127
Szczerbiak	0.0406611
Newsome	0.0405902
Heinrichs	0.0405544
Nowitzki	0.0405161
Stinnett	0.0404934
Inkster	0.0404445
Woburn	0.0404414
Talebi	0.0404168
Wildwood	0.0403183
Monahan	0.040316
Finkel	0.0403003
Gainesville	0.0402887
Kuehne	0.0402401
fifth-year	0.0401086
"Dottie Pepper"	0.0400515
))
(Chambliss (desc 1813.53) (sims
Moakley	0.192808
Dingell	0.187532
Napolitano	0.180776
Waxman	0.180179
Schaffer	0.176581
McInnis	0.172827
Nadler	0.171428
Canady	0.165168
Royce	0.160377
Delahunt	0.160321
Danner	0.160144
McHugh	0.157113
Doggett	0.153389
Menendez	0.149667
Markey	0.148497
Weldon	0.146538
Goode	0.143648
Northup	0.14301
Chabot	0.142877
Bliley	0.140052
Capps	0.139457
COYNE	0.13892
Metcalf	0.138894
Condit	0.133664
Engel	0.133573
Pelosi	0.133557
McNulty	0.132429
Isakson	0.131708
Larson	0.131276
McIntyre	0.124734
McCollum	0.124269
Dooley	0.122768
Houghton	0.11991
Kolbe	0.115742
Linder	0.11572
Latham	0.11368
McKeon	0.112821
granger	0.112684
Klink	0.110637
Hobson	0.109589
Meeks	0.108922
"Mel Stottlemyre"	0.105557
McIntosh	0.104485
Cummings	0.10316
PITTS	0.10236
Berman	0.101847
Goss	0.101609
Neal	0.0994224
"Rich Brooks"	0.0991457
Rangel	0.0988166
mica	0.0974465
Skiles	0.0964716
Lipinski	0.0948492
Pickett	0.0942773
Farr	0.094262
Pryce	0.0942284
Largent	0.0933025
Deutsch	0.0925805
Devine	0.0919346
Serrano	0.0916081
Portman	0.0913865
Moran	0.0901316
Sato	0.0895627
Reyes	0.0895484
Jarrell	0.0891761
Stearns	0.0890179
Tauzin	0.0885118
Meehan	0.0877118
Crowley	0.0870402
Gutierrez	0.0869709
Leach	0.0856706
Cashman	0.0856268
Piot	0.0856151
Rossotti	0.0856055
Kupchak	0.0855571
Huggins	0.0855165
Strickland	0.0855148
Coverdell	0.0848572
SHUSTER	0.0847727
Polian	0.0842377
Rothenberg	0.0837939
Rogan	0.0828636
Callahan	0.0826609
Lowey	0.0826257
Thurman	0.0814249
Bustamante	0.0811552
Babcock	0.081005
Hastings	0.080602
Phelps	0.0805779
Suarez	0.0802126
McGovern	0.0797143
Sawyer	0.079536
Reinhardt	0.0791597
Bubb	0.0790077
DeFrantz	0.078732
Gilman	0.0786522
Sanford	0.0785201
Packard	0.0783699
Difrancesco	0.0783608
Grunwald	0.0781798
Zimmer	0.0780552
Neff	0.0777233
Armey	0.0771493
Waddell	0.0751177
Tomey	0.0743207
Troussier	0.0736875
Aventajado	0.073682
Dixon	0.0733839
"Jack Kingston"	0.0730914
Hayes	0.0730596
Watkins	0.0724384
Doyle	0.071854
Ortiz	0.0714727
Costello	0.0713866
Moonves	0.0713041
Echols	0.0712833
Conyers	0.0712208
fowler	0.0711919
Bochy	0.0708531
Winn	0.0707886
Fieger	0.0707261
Scheck	0.0704614
Peterson	0.0704152
Lucas	0.0703879
McDermott	0.0703079
Velazquez	0.0699003
Sherwood	0.0698476
Braswell	0.0694601
Wasserman	0.0692972
Barrett	0.0690631
Schuerholz	0.0688325
"administration official"	0.0688214
Hodler	0.068238
Quinn	0.0675509
Evans	0.0673561
"TOM COUGHLIN"	0.0672402
Burleigh	0.0669341
Lyons	0.0667147
Billick	0.0663492
Singson	0.0663456
Colburn	0.0662809
Levin	0.0661581
Halloran	0.0661284
Monson	0.0660695
Pederson	0.0660647
PML	0.0660597
Allchin	0.0659927
Finkel	0.0657306
Cui	0.0657254
Kessler	0.0657074
Beathard	0.0656559
Lehane	0.0655596
Wilkens	0.0655238
Greenwood	0.0654866
Ruehe	0.0654332
Sherman	0.0652406
Wolfson	0.0652035
Romer	0.0649375
Kasich	0.0645572
"Willie Randolph"	0.0644184
"Bela Karolyi"	0.0641981
Holt	0.0641354
Sherrill	0.0641071
Hamlin	0.063875
ISSEL	0.0638107
"Don Baylor"	0.063719
Jauron	0.0637119
Brady	0.0636281
burr	0.0635644
Donahue	0.0633711
Siegel	0.0633188
Okada	0.0631949
Lockyer	0.0631279
"Bora Milutinovic"	0.0629888
"Scotty Bowman"	0.0624032
Sweeney	0.0622608
Sykes	0.0622322
Schmid	0.0619931
Lessig	0.0618779
Aliotti	0.061868
Rubenstein	0.0617779
Samuelson	0.061574
McCurry	0.0615676
Saunders	0.0614101
Khalil	0.0613404
Schmalensee	0.0612838
Aguirre	0.0611677
McCarthy	0.0611321
"Chris Palmer"	0.0611206
Zambrano	0.0610851
Sheng	0.0609876
Gerstner	0.060874
Gainey	0.0608398
Fleischer	0.0608377
Reynolds	0.0607468
Bonilla	0.0606012
Emerson	0.0605943
Bellamy	0.060522
"Don Zimmer"	0.0603667
Connor	0.0602182
))
(chameleon (desc 3754.92) (sims
"hot potato"	0.0874348
heretic	0.0741479
hothead	0.07352
has-been	0.0723432
gadfly	0.0637997
misnomer	0.0635387
portraitist	0.0616895
anachronism	0.0614221
pariah	0.0595524
"waiting game"	0.0584136
nonentity	0.058239
twit	0.0581387
copout	0.0572859
fishbowl	0.0572783
"big spender"	0.056901
maniac	0.0567507
wimp	0.0565398
nonevent	0.0560612
hypocrite	0.0555193
swashbuckler	0.0551843
enigma	0.0548248
"big leaguer"	0.0548014
careerist	0.0547301
Truism	0.0546122
debater	0.0537633
snob	0.053704
"soul mate"	0.0535
exotica	0.0532751
"charter member"	0.0528979
Everyman	0.0527614
demagogue	0.0524598
recluse	0.052087
pragmatist	0.0514553
geezer	0.0512904
provocateur	0.050933
rascal	0.0506327
orator	0.0505942
weirdo	0.0498363
tactician	0.0497048
"battering ram"	0.0495498
opportunist	0.0495155
"black sheep"	0.0494713
"traveling salesman"	0.0494555
scum	0.0493092
connoisseur	0.0492504
craftsman	0.0491376
stopper	0.0489702
loner	0.0486955
no-brainer	0.0486169
ogre	0.0485893
make-over	0.048502
"lynch mob"	0.048499
"risk taker"	0.0480522
fakery	0.0478532
puncher	0.0475987
superhero	0.0474648
classicist	0.0470905
statesman	0.04702
"subatomic particle"	0.0469401
underachiever	0.0467236
cipher	0.0466866
junkie	0.0464966
individualist	0.0463877
techie	0.0463244
"Norman Rockwell"	0.0462633
Rambo	0.0462528
animator	0.0461849
trickster	0.0461553
sideshow	0.0459585
schoolboy	0.0459206
visionary	0.0455318
"top dog"	0.045444
freak	0.045049
"tree stump"	0.0448827
hermit	0.0448761
moron	0.0448004
"femme fatale"	0.0447108
bloomer	0.0446756
satirist	0.0445826
"numbers game"	0.0444255
manipulator	0.0443864
outcast	0.0440465
Webcam	0.0440311
psychopath	0.043964
"melting pot"	0.0439273
hippie	0.0439257
Neff	0.0437907
"ball club"	0.0436496
"Wild Man"	0.0436051
curmudgeon	0.0435094
cog	0.0433413
oversimplification	0.0432968
raconteur	0.0432571
"white elephant"	0.04323
confection	0.0431803
stuntman	0.043134
"deja vu"	0.0430289
immortal	0.0428759
"matinee idol"	0.0428755
nobleman	0.0427962
"gambling casino"	0.042728
prankster	0.0426055
"bad guy"	0.0425952
flamethrower	0.0425677
thespian	0.0425597
hummingbird	0.0425268
lark	0.0424251
"con artist"	0.0424207
cataclysm	0.0423119
"whipping boy"	0.042303
"character actor"	0.0422254
alchemy	0.0421741
"shell game"	0.0421354
mutant	0.0421163
defining	0.0420916
idol	0.0420779
Luddite	0.0420733
fluke	0.0419686
sleeper	0.0418751
dilettante	0.0417399
oppressor	0.0416272
DEADBEAT	0.0415846
Intimidator	0.0415439
whistle-blower	0.0415133
bloke	0.0414525
"poker game"	0.0413832
desperado	0.0412638
innovator	0.0411947
idiot	0.0411692
playlist	0.0411514
"punching bag"	0.0411174
epitaph	0.0411018
"detective story"	0.0410604
"free spirit"	0.0410475
gatekeeper	0.0410341
wordsmith	0.0410248
Kurd	0.0409835
wonk	0.0409231
scoundrel	0.0409073
gabfest	0.0408942
headhunter	0.040833
kingmaker	0.0407827
Pol	0.0407662
pushover	0.0407239
Houdini	0.0406346
free-for-all	0.0405888
pinball	0.0405799
singer-songwriters	0.0404786
godfather	0.0404494
"New Balance"	0.0404025
oxymoron	0.0403463
mismatch	0.0402803
"hockey coach"	0.040191
rogue	0.0401811
waif	0.0401087
))
("Chamique Holdsclaw" (desc 4565.86) (sims
"Sheryl Swoopes"	0.189491
Holdsclaw	0.188308
"DeLisha Milton"	0.173281
"Chris Porter"	0.160701
"Lisa Leslie"	0.155825
"Kenyon Martin"	0.149752
"Shawn Marion"	0.148996
"Ron Artest"	0.148763
"Wally Szczerbiak"	0.144559
"Leon Smith"	0.140676
"Jumaine Jones"	0.135128
"Elton Brand"	0.134634
"Tamika Catchings"	0.129489
"Raef LaFrentz"	0.128876
"Rebecca Lobo"	0.128798
"Nikki McCray"	0.124494
"Andre Miller"	0.123603
"Patrik Stefan"	0.123197
"Richard Hamilton"	0.121757
"JEVON KEARSE"	0.119411
"Marcus Fizer"	0.115408
"Kenny Thomas"	0.114617
"Etan Thomas"	0.11384
"Gabe Muoneke"	0.11341
"Teresa Weatherspoon"	0.111966
"Dirk Nowitzki"	0.110095
"Dwayne Goodrich"	0.108314
"Pat Garrity"	0.10739
"Devean George"	0.107298
"Lee Nailon"	0.107235
"Mark Madsen"	0.105671
"Tee Martin"	0.104901
"Matt Harpring"	0.103446
"Todd MacCulloch"	0.102499
"Pat Burrell"	0.101525
"Vince Carter"	0.10152
"Darius Miles"	0.0993758
"Lamar Odom"	0.0986505
"Brian Skinner"	0.0985782
"Steve Francis"	0.0984653
"Mateen Cleaves"	0.0983514
"Antawn Jamison"	0.0982269
"Corliss Williamson"	0.0981993
"Cynthia Cooper"	0.0980303
"Mike Miller"	0.0979368
"Samaki Walker"	0.0978208
"Tiffeny Milbrett"	0.0966951
"Donyell Marshall"	0.0965054
"Jason Terry"	0.0959911
"Corey Maggette"	0.0954156
"Keith Van Horn"	0.0951689
"Tina Thompson"	0.0949812
"Natalie Williams"	0.0947651
"Tim Duncan"	0.0944651
Szczerbiak	0.0937292
"Sun Wen"	0.0936606
"Michael Olowokandi"	0.0930355
"Shane Battier"	0.0922753
"Yolanda Griffith"	0.091994
"Peerless Price"	0.0910681
"Cindy Parlow"	0.0908661
"Trajan Langdon"	0.0907746
"Michael Finley"	0.0906215
"JaRon Rush"	0.0905843
"Sam Clancy"	0.0904108
"Ruben Patterson"	0.0902437
"Juwan Howard"	0.0893136
"Chris Webber"	0.0885386
"Lamond Murray"	0.088456
"Bonzi Wells"	0.0883326
"Ukari Figgs"	0.087781
"Kris Clack"	0.0876563
"Curtis Enis"	0.0874562
"Ebenezer Ekuban"	0.0865686
"Jarvis Turner"	0.0856939
"Morris Peterson"	0.0853902
"Scott Gomez"	0.0849442
"Grant Long"	0.08453
"Tyrone Nesby"	0.0844096
"Peyton Manning"	0.0839574
"Jennifer Gillom"	0.0834754
"Shareef Abdur-Rahim"	0.0829844
"Champ Bailey"	0.0829569
"Paul Pierce"	0.0819903
"Jamal Lewis"	0.0810583
"Joe Smith"	0.0810126
"Steve McNair"	0.0804898
"Mia Hamm"	0.0803575
"Grant Hill"	0.0796032
"Brenden Morrow"	0.0795518
"Chris Carrawell"	0.0785912
Sissi	0.0785542
"Antoine Walker"	0.0784464
"Cedric Ceballos"	0.0774203
"Jamie Feick"	0.0773034
"Tim Couch"	0.0767229
"Jason Williams"	0.0766629
"Sean Farnham"	0.076422
"Andre Wadsworth"	0.076379
"Blake Sloan"	0.0758494
"Rafael Furcal"	0.0758488
"Jonathan Bender"	0.0756776
"Rodney Rogers"	0.0755608
"George Weah"	0.0754072
"Brian Scalabrine"	0.0752843
"Khodadad Azizi"	0.0752065
"Shawn Kemp"	0.0751397
Leslie	0.075097
"Jeff Weaver"	0.0750749
"Hu Weidong"	0.0748563
"Thomas Jones"	0.0746519
"Jerome Moiso"	0.0745041
"Rashard Lewis"	0.0744083
"Alen Boksic"	0.0741318
"Danny Manning"	0.0740393
"Mike Bibby"	0.0740043
"Chris Drury"	0.0736023
"Rasheed Wallace"	0.0735598
"Bryon Russell"	0.0731571
"Edgerrin James"	0.0731554
"David Boston"	0.0731134
"Chris Canty"	0.0730148
"Dawn Staley"	0.0729292
"Andy Katzenmoyer"	0.0728519
"Theo Fleury"	0.0728466
"Michael Wright"	0.0726682
"Toni Kukoc"	0.0725324
"Maurice Taylor"	0.072384
"Kristine Lilly"	0.0723527
"Michael Dickerson"	0.0716164
"Chris Crawford"	0.0715711
"Greg Ellis"	0.0715682
"Sean Elliott"	0.0713672
"Dez White"	0.0713143
"Joe Sakic"	0.0712989
"Keith Brooking"	0.0707384
Swoopes	0.0707313
"Keith Tkachuk"	0.0705591
"Dejan Savicevic"	0.0704186
"Larry Atkins"	0.0704029
"Donovan McNabb"	0.0701917
"Peter Forsberg"	0.0701553
"Ante Razov"	0.0700325
"Joe Thornton"	0.0698504
"Kevin Freeman"	0.0696539
"Anthony Mason"	0.069595
"Solomon Page"	0.0695496
"Ziggy Palffy"	0.0694522
"Brock Huard"	0.0685851
"Joe Juneau"	0.0685503
"Karl Malone"	0.068341
"Othella Harrington"	0.0681875
"LaVar Arrington"	0.0680206
"Baron Davis"	0.067991
"Sergei Fedorov"	0.0676935
"Randy Moss"	0.0675918
"L.J Shelton"	0.0675481
"Robert Traylor"	0.0674776
"Chris Gatling"	0.0674136
"Robert Edwards"	0.0673484
"Vin Baker"	0.0673012
"John Avery"	0.0672109
"Olli Jokinen"	0.0671791
"Michelle Akers"	0.0671375
"Charles Barkley"	0.0668324
"Chris Claiborne"	0.0666622
"Kendall Gill"	0.0661615
"David Robinson"	0.0660329
"Richard Jefferson"	0.0657724
"Trung Canidate"	0.0657327
"Walt Williams"	0.0655122
"Michael Owen"	0.0654569
"Se Ri Pak"	0.0654304
"Hidetoshi Nakata"	0.065376
"Luis Hernandez"	0.0652617
"Ian Wright"	0.0652023
"Ali Daei"	0.0651885
Romario	0.0651821
"J.D Drew"	0.0651299
"Yao Ming"	0.0651044
"Jason Kapono"	0.0650064
"Faustino Asprilla"	0.0648756
"Eric Lindros"	0.064874
"Skip Hicks"	0.0648355
"J.R Redmond"	0.064741
"Eddie George"	0.0646272
"Predrag Mijatovic"	0.064501
"Toby Bailey"	0.0641528
"Fred Taylor"	0.064007
"Kirk Muller"	0.0639958
"Tim Thomas"	0.0639108
"Christian Vieri"	0.0639064
"Vlade Divac"	0.0638545
"Milan Hejduk"	0.0638505
"Nwankwo Kanu"	0.0638238
"Sebastian Janikowski"	0.0637822
"Matt Santangelo"	0.0635686
"Gary Trent"	0.0635178
"Austin Croshere"	0.0634994
"Cade McNown"	0.063445
))
(chamomile (desc 1318.96) (sims
peppermint	0.142036
ginseng	0.124392
"vitamin E"	0.109274
echinacea	0.107321
"St. John's wort"	0.106398
ginkgo	0.10362
"Ginkgo biloba"	0.0987905
hibiscus	0.0947574
Chai	0.0942352
lemongrass	0.0897335
marjoram	0.0894234
verbena	0.0817796
"fennel seed"	0.0810612
anise	0.0810445
geranium	0.0794787
lemon	0.077517
oleander	0.0746866
pansy	0.0737967
lavender	0.0729459
grapefruit	0.071772
lycopene	0.0715094
thyme	0.0676938
lime	0.0671434
jasmine	0.0664715
carnation	0.0656305
kava	0.0645877
rosemary	0.064258
chrysanthemum	0.0637975
MOCHA	0.0633841
aqua	0.0584019
saffron	0.0573443
gingko	0.0563943
horseradish	0.0558452
"bay leaf"	0.0547326
canola	0.0544462
aster	0.0538539
"vitamin C"	0.0519072
vanilla	0.0507497
"douglas fir"	0.049512
cinnamon	0.0491941
pomegranate	0.0491741
petunia	0.0491427
gardenia	0.048988
Pu	0.0482394
cappuccino	0.0472068
lilac	0.0467315
hazelnut	0.0459304
chickenpox	0.0456466
smallholder	0.0454058
pinwheel	0.0452847
sipping	0.0452805
daffodil	0.0450466
"Gilded Age"	0.0446944
ripening	0.0443371
"hot pepper"	0.0432943
aromatherapy	0.0430858
tarragon	0.0425216
"hydrogen peroxide"	0.0417441
Juniper	0.0417372
"fish oil"	0.0415782
licorice	0.0412132
"romaine lettuce"	0.0408924
turquoise	0.0407667
azalea	0.0403202
hyacinth	0.0401201
))
(Chamonix (desc 1395.87) (sims
Kitzbuehel	0.218069
Hakuba	0.21403
Sestriere	0.213465
Zakopane	0.198822
Bormio	0.189146
Innsbruck	0.183787
Lillehammer	0.183782
"Park City"	0.172699
Ensenada	0.16245
Taba	0.159972
"Lake Louise"	0.15709
Cavalese	0.149265
Sapporo	0.144967
Nago	0.142111
Gelsenkirchen	0.141322
Marjayoun	0.140299
"San Sebastian"	0.137165
Larnaca	0.137012
Trondheim	0.136015
Wildwood	0.135244
este	0.13521
Plattsburgh	0.134683
Albertville	0.131408
Macoris	0.130792
Plata	0.130565
"Sierra Nevada"	0.13048
"Le Mans"	0.128157
Nabatiyeh	0.126728
Lugano	0.126026
Sochi	0.125629
Golcuk	0.125302
Vladikavkaz	0.125058
Maribor	0.124911
Orahovac	0.124286
Lahti	0.122907
Kizlyar	0.121477
Eilat	0.120572
Posoltega	0.11955
Cacak	0.119396
Pattaya	0.117801
Grenoble	0.115491
Falun	0.115001
Tokaimura	0.114754
Waterville	0.114357
"Mount Pleasant"	0.113841
Engelberg	0.113808
Makhachkala	0.112301
Lhokseumawe	0.109188
"Myrtle Beach"	0.108957
Breckenridge	0.107862
Murmansk	0.10746
Lille	0.107159
Strasbourg	0.105923
Haicheng	0.105724
Gisenyi	0.1056
Kukes	0.105364
Hempstead	0.105269
Suzuka	0.105039
Davos	0.103854
Beersheba	0.10378
Atambua	0.103316
Berne	0.101329
Princeville	0.101068
BRIGHTON	0.100781
Utica	0.100498
Jalalabad	0.0999286
Dubrovnik	0.0971334
Acapulco	0.0970658
"Del Rio"	0.0959317
Leskovac	0.0957652
"St Petersburg"	0.0953792
Carlsbad	0.0942071
Dijon	0.0938636
Hillsboro	0.0937229
Palma	0.0935082
Antalya	0.093212
CANCUN	0.0929621
Peshawar	0.0917823
Vail	0.0917398
Cannes	0.0917078
RAMBOUILLET	0.091707
"Egyptian capital"	0.0915409
Bayonne	0.0914569
"Paris St Germain"	0.0901108
Dundalk	0.0897453
Caguan	0.0896216
"CHIANG MAI"	0.0889064
"Guatemala City"	0.0885173
Srbica	0.0880085
Beidaihe	0.0879753
Kalemie	0.0877182
Toulouse	0.0876779
"Saratoga Springs"	0.0875995
Mitrovica	0.0874847
Lucerne	0.087266
"Suva Reka"	0.0870767
Heerenveen	0.086868
Keene	0.0868304
Bekaa	0.0867687
Manado	0.0867468
Sipadan	0.0865659
Urosevac	0.0864908
Lewiston	0.0860745
"White Plains"	0.0860206
Skaneateles	0.0858236
Basle	0.0854886
Mankulam	0.0851017
"Victoria Falls"	0.0850608
"Quezon City"	0.0850266
Kismayu	0.0847077
"Port Elizabeth"	0.0846017
Malaga	0.084509
Halle	0.0842124
"Puerto Vallarta"	0.0841837
Montpellier	0.0841032
Kilinochchi	0.0840064
Prizren	0.0838684
Urus-Martan	0.083841
Nagano	0.0837757
NIS	0.0830985
Kupang	0.0830384
Bazar	0.0829026
"Atlantic City"	0.082825
Aachen	0.0825809
Gnjilane	0.0823613
"Kosovo Polje"	0.0822453
"Hilton Head"	0.0821883
Charleroi	0.0820324
Rennes	0.0818411
Perth	0.0818366
Linz	0.0816999
Ballymoney	0.081348
"Montego Bay"	0.0812644
Nazareth	0.0810473
Ashkelon	0.0808438
PALERMO	0.0808025
Lubbock	0.0807635
Harrisburg	0.0807445
Walkerton	0.080198
Beqaa	0.0801624
Dunkirk	0.0801126
"London Marathon"	0.0799105
Limassol	0.0798999
Blackpool	0.0798612
Gudermes	0.0794731
Nogales	0.0794243
Taipei	0.0791547
Laredo	0.0790144
Hobart	0.0788497
Managua	0.078559
Elmira	0.0784732
Toulon	0.0784681
Northampton	0.0784262
"Arnaud Di Pasquale"	0.0784001
Chiba	0.0781998
Ghent	0.0781765
Talipao	0.0779336
Paranthan	0.0777712
Sihanoukville	0.0772692
Avignon	0.0772374
Vukovar	0.0771975
Monza	0.0770556
Nablus	0.0769718
"Ho Chi Minh City"	0.0768847
Fukuoka	0.0768286
Limoges	0.0767404
Banff	0.0766792
Youngstown	0.0766716
"Fort Worth-Dallas"	0.0765326
Salzburg	0.0765022
"Santa Clarita"	0.0763726
Langkawi	0.0761295
Filderstadt	0.0758835
"San Fernando"	0.0758554
Kandy	0.0758132
Imola	0.0756797
Marseilles	0.0755476
Baidoa	0.0752358
Kenema	0.0751013
Loudon	0.075091
el-Sheikh	0.0749242
"Ciudad Juarez"	0.0747205
Warwick	0.0743724
PEC	0.0743043
Super-G	0.0741474
"La Paz"	0.074078
Durres	0.0737821
Racak	0.0737562
BASEL	0.0737265
"San Salvador"	0.0734871
Uvira	0.0734039
"European Swimming Championships"	0.0733669
Tallinn	0.0732944
Leipzig	0.0731844
Izmit	0.0729315
Saint-Denis	0.0726938
"Jean-Philippe Gatien"	0.0724499
"San Pedro Sula"	0.0724067
Rotterdam	0.0723293
Trieste	0.0719255
))
(champ (desc 34968.4) (sims
champion	0.223445
titleholder	0.156332
titlist	0.139191
winner	0.122221
runner-up	0.103568
titlists	0.0895323
crown	0.0882912
"most valuable player"	0.0872379
title	0.0865621
championship	0.0858684
finalist	0.0853169
golfer	0.0804547
"Pro Bowler"	0.0799179
medalist	0.0797249
contender	0.0787706
MVP	0.0780154
boxer	0.0726593
welterweight	0.0722092
Olympian	0.0721776
"tennis player"	0.0720308
seed	0.0706496
favorite	0.0691026
semifinalist	0.0681237
"number one"	0.0654629
rookie	0.0647747
All-Star	0.064754
"Steffi Graf"	0.0638534
"No. @"	0.0623871
record-holder	0.0620015
quarterfinalist	0.0614809
superstar	0.0605156
"Patrick Rafter"	0.0604156
runnerup	0.060396
three-time	0.0602823
WBC	0.0588787
runners-up	0.0583376
"US Open"	0.0578392
"Monica Seles"	0.057493
"Pete Sampras"	0.057055
"World Boxing Association"	0.0564772
"Evander Holyfield"	0.0562984
"Martina Hingis"	0.0561944
finisher	0.0558911
No.	0.055172
"Andre Agassi"	0.0548088
"Mark O'Meara"	0.0547328
Amateur	0.0546221
Hingis	0.054337
WBA	0.0539123
doormat	0.0539034
final	0.0536714
"Denver Broncos"	0.0536345
heavyweight	0.0534949
"Lindsay Davenport"	0.0533171
"Boris Becker"	0.0529083
"Ernie Els"	0.0521684
"U.S. Open"	0.0521205
V	0.0519644
"Oscar De La Hoya"	0.0517116
"Jan-Ove Waldner"	0.0517052
teammate	0.0515977
"Venus Williams"	0.0508599
holder	0.0508436
Masters	0.0507393
"Mike Tyson"	0.0507008
"hockey team"	0.0505538
"Mary Pierce"	0.0504702
trophy	0.0501644
"Nick Faldo"	0.0501495
"Houston Comets"	0.0495551
tournament	0.0494815
"Lennox Lewis"	0.0494375
"Tom Watson"	0.0492708
"Kong Linghui"	0.0491425
"world record-holder"	0.0488017
semifinal	0.0487393
Novotna	0.0486853
hero	0.0485917
Davenport	0.0484474
sprinter	0.0482587
"Conchita Martinez"	0.0482555
medallist	0.0480102
Agassi	0.0478974
Seles	0.0477525
"Chicago Bulls"	0.0475434
"Lee Janzen"	0.0475278
All-stars	0.0473437
"Donovan Bailey"	0.0471503
"Dalian Wanda"	0.0465675
scorer	0.0465481
"Alex Corretja"	0.0465023
"Maurice Greene"	0.0463668
"Greg Norman"	0.0463648
"medal winner"	0.046356
"Richard Krajicek"	0.0463284
"Carlos Moya"	0.0462694
legend	0.0461456
playoff	0.0460532
"French Open"	0.0458792
"Goran Ivanisevic"	0.0455723
king	0.0455471
"Liu Guoliang"	0.0451768
All-American	0.045114
athlete	0.0450895
opponent	0.0447286
"basketball team"	0.0444904
"Vijay Singh"	0.0444727
wrestler	0.0444204
Moya	0.0441925
"Marion Jones"	0.0440431
"Felix Trinidad"	0.0438274
"track star"	0.0437256
"Jana Novotna"	0.0436131
rusher	0.0435124
pennant	0.0434415
"Nick Price"	0.0434255
"football team"	0.0433563
Rafter	0.0432502
bronco	0.0430223
"first team"	0.0429564
Majoli	0.0429408
squad	0.0428514
"John McEnroe"	0.0428485
skater	0.042812
UCLA	0.0427925
"Serena Williams"	0.0427695
qualifier	0.0424943
All-Pro	0.0424923
"David Duval"	0.0424906
Holyfield	0.0424893
"Tiger Woods"	0.0424808
matchups	0.0422202
Yankee	0.0421206
Wimbledon	0.0421201
"Michael Johnson"	0.0420489
showdown	0.042023
quarterback	0.0419002
darling	0.0418748
"Hale Irwin"	0.0418317
racer	0.041787
Sampras	0.0417612
"Jeff Gordon"	0.0417591
PGA	0.0417457
"Justin Leonard"	0.041698
Rusedski	0.0416631
tourney	0.0416554
"seeded player"	0.0415677
"Gail Devers"	0.041499
Tyson	0.0412982
"Iva Majoli"	0.0412586
swimmer	0.0410984
"Gustavo Kuerten"	0.0410739
"Martina Navratilova"	0.0410437
O'Meara	0.041023
also-ran	0.0410218
bull	0.0407376
quarterfinal	0.0406644
IBF	0.040659
"running back"	0.0405343
brave	0.0404524
No.@	0.0403908
"Mark Philippoussis"	0.0403831
cyclist	0.0403456
"Michael Chang"	0.0402136
"Marcelo Rios"	0.0401757
"Cedric Pioline"	0.0400634
gymnast	0.0400225
))
("Champ Bailey" (desc 3232.89) (sims
"Jumaine Jones"	0.184323
"Michael Booker"	0.181338
"Edgerrin James"	0.17112
"Darrell Green"	0.150947
"John Avery"	0.150332
"Dwayne Goodrich"	0.148703
"Tebucky Jones"	0.148458
"Torry Holt"	0.147829
"Keith Brooking"	0.145128
"Leon Smith"	0.14076
"Tim Dwight"	0.139381
"David Boston"	0.138564
"L.J Shelton"	0.134707
"Robert Edwards"	0.132436
"JEVON KEARSE"	0.131881
"Andre Wadsworth"	0.13137
"Skip Hicks"	0.130253
"Curtis Enis"	0.127925
"Chris Canty"	0.126891
"Tim Couch"	0.124188
"Michael Westbrook"	0.12295
"Kevin Mathis"	0.120429
"Tony George"	0.120084
"Thomas Jones"	0.119982
"Darrien Gordon"	0.11902
"Aaron Glenn"	0.117258
"Chris McAlister"	0.117115
"Greg Ellis"	0.11701
"Charles Woodson"	0.116963
"Andy Katzenmoyer"	0.116843
"John Tait"	0.116335
"Pat Garrity"	0.116062
Bly	0.114024
"Aeneas Williams"	0.113491
"Michael Olowokandi"	0.113114
"Antonio Langham"	0.112604
"Tony Simmons"	0.111327
"Damien Woody"	0.110919
"Jason Fabini"	0.110043
"Peter Warrick"	0.109448
"Shawn Marion"	0.109264
"Ryan Roques"	0.108654
"Deion Sanders"	0.108188
"Todd Husak"	0.107907
"Sebastian Janikowski"	0.107758
"Elton Brand"	0.107274
"Jason Sehorn"	0.107066
"Solomon Page"	0.106849
"Wane McGarity"	0.106549
"Paul Pierce"	0.106527
"J.R Redmond"	0.105485
"Kevin Faulk"	0.105483
"Pat Burrell"	0.10486
"Kenyon Martin"	0.102828
"Michael Myers"	0.102748
"Dez White"	0.102736
"Randy Moss"	0.102353
"Devean George"	0.102198
"Rae Carruth"	0.101102
"Ty Law"	0.0991893
"Jeff Weaver"	0.0987707
"Sam Madison"	0.0983163
"Mario Edwards"	0.0981963
"Akili Smith"	0.0975614
"Tyronn Lue"	0.0973844
"Trung Canidate"	0.0965614
"Al Harrington"	0.0955482
"Ron Artest"	0.0951012
"Kevin Williams"	0.094214
"Ray Buchanan"	0.0939836
"Dimitrius Underwood"	0.0932603
"Ronnie Bradford"	0.0921179
"Chris Claiborne"	0.0917743
"Brian Griese"	0.0913299
"Mike Bibby"	0.0906032
"Brenden Morrow"	0.0896317
"Peyton Manning"	0.0882253
"Cade McNown"	0.0878812
"Patrik Stefan"	0.0877851
"Todd MacCulloch"	0.0876808
"Quincy Carter"	0.0874827
"Eric Metcalf"	0.0863649
"Jeff Ogden"	0.0861681
"Manny Malhotra"	0.0860684
"Dale Carter"	0.0860145
"Darius Miles"	0.0857288
"Brock Huard"	0.085005
"Kevin Smith"	0.0846707
"Stephen Davis"	0.0840308
"Mark Madsen"	0.0840202
"R. Jay Soward"	0.0836708
"Dirk Nowitzki"	0.0833555
"Ebenezer Ekuban"	0.0833388
"Ryan Leaf"	0.0832556
"Chamique Holdsclaw"	0.0829569
"Bonzi Wells"	0.0826988
"Michael Bishop"	0.0823269
"Fred Taylor"	0.0811142
"Richard Hamilton"	0.0806969
"Chris Porter"	0.0806052
"Flozell Adams"	0.0798193
"Daunte Culpepper"	0.0790753
"Donovan McNabb"	0.0790703
"Peerless Price"	0.0787752
"Andre Miller"	0.0784068
"J.D Drew"	0.0781066
"Lamar Odom"	0.0779628
"Baron Davis"	0.0778724
"Shaun King"	0.0773312
"LaVar Arrington"	0.0769477
"Steve Francis"	0.076363
"Chad Pennington"	0.0760303
"Raef LaFrentz"	0.0752577
"Windrell Hayes"	0.0750171
"Otis Smith"	0.0746423
"Jason Terry"	0.074481
"Manny Fernandez"	0.0742168
"Wally Szczerbiak"	0.0737893
"Marques Anderson"	0.0737578
"Ricky Williams"	0.0736963
"Jamal Lewis"	0.0735211
"Jonathan Bender"	0.073323
"Sedrick Shaw"	0.0730033
Underwood	0.0729805
"Mateen Cleaves"	0.0727383
"Tony Graziani"	0.0725112
Holdsclaw	0.0720567
Wadsworth	0.0720431
Woodson	0.0718393
Szczerbiak	0.0717042
"Bruce Smith"	0.0716937
"Joey Galloway"	0.0716837
"Vince Carter"	0.0710018
"Warren Sapp"	0.0698898
"Charlie Batch"	0.0698073
Dwight	0.068044
Fizer	0.0680087
"Brad Johnson"	0.0679505
"Tee Martin"	0.067903
"Ike Hilliard"	0.0670095
"Max Cleland"	0.0669297
"Dedric Ward"	0.0667306
Odom	0.0665912
"Sam Nunn"	0.0665498
"Jermaine Lewis"	0.0662294
"Keyshawn Johnson"	0.0661668
"Vladimir Stepania"	0.0660646
"Brandon Mitchell"	0.0657191
"Lynn Swann"	0.0656555
Graziani	0.0656505
"Kenny Thomas"	0.0656052
"Troy Brown"	0.0653279
bailey	0.0651656
"Shammond Williams"	0.0649973
"Danny Farmer"	0.0643412
"Jason Williams"	0.064229
"Michael Dickerson"	0.0642191
"Mike Brown"	0.0639546
"Samaki Walker"	0.0639083
cornerback	0.063833
"Brian Skinner"	0.0635968
"Rod Smith"	0.0635687
"Doug Johnson"	0.0633007
"Trent Green"	0.0631934
"Tim Duncan"	0.0629939
"Matt Santangelo"	0.0628135
Mathis	0.0626132
"Toby Bailey"	0.062434
"Kevin Johnson"	0.0623438
"Antawn Jamison"	0.0620761
Manning	0.0616764
"Gus Frerotte"	0.0615815
"Steve Israel"	0.0614882
"Jose Jimenez"	0.06134
Berard	0.0612933
halfback	0.0610967
"Courtney Brown"	0.0606324
"Lee Nailon"	0.0602874
"Hidetoshi Nakata"	0.060168
Maggette	0.0601124
Kearse	0.0599215
"Jin Ho Cho"	0.0597731
"Phillippi Sparks"	0.0597507
"Etan Thomas"	0.0597182
"Cecil Collins"	0.0590272
"Bobby Newcombe"	0.0587814
"Kris Clack"	0.0586722
"Bruce Chen"	0.0585991
Nowitzki	0.0585987
"Tyrone Nesby"	0.0584975
Stepanova	0.0584603
"Ryan Glynn"	0.0581074
"Roy Barnes"	0.0577269
"two pitchers"	0.0576824
"Sidney Ponson"	0.0576081
"Andre Rison"	0.057453
"Brian Anderson"	0.0573003
"Scoonie Penn"	0.0572685
"Oronde Gadsden"	0.0572171
"Rashard Lewis"	0.0570086
))
(champagne (desc 35598.6) (sims
wine	0.172924
Beer	0.151152
vodka	0.151151
Cognac	0.150933
"red wine"	0.137943
"white wine"	0.134331
bubbly	0.132731
whiskey	0.132551
tequila	0.127289
rum	0.127215
drink	0.124742
whisky	0.123661
"sparkling wine"	0.120769
brandy	0.116861
liquor	0.116235
sherry	0.11191
scotch	0.111146
"Dom Perignon"	0.11089
soda	0.109916
juice	0.10915
Riesling	0.108429
coffee	0.108088
"orange juice"	0.103411
Chardonnay	0.0998142
liqueur	0.0997144
Martini	0.0993918
chocolate	0.099213
cocktail	0.0970113
"soft drink"	0.0969872
Cigar	0.096551
lemonade	0.0965439
tea	0.0954073
bourbon	0.0950889
gin	0.0949764
cider	0.094527
vinegar	0.0942017
Beaujolais	0.0930459
beverage	0.0921738
Chianti	0.0915932
Cabernet	0.0910802
cheese	0.0896139
"Pinot noir"	0.088728
merlot	0.0881344
bottle	0.0872291
"iced tea"	0.0849493
"mineral water"	0.0848592
booze	0.0847474
caviar	0.0844096
"ice cream"	0.0841938
milk	0.0834179
cake	0.0826249
Zinfandel	0.0823725
butter	0.0809409
alcohol	0.0801147
"Cabernet Sauvignon"	0.0797681
food	0.0795626
"ice water"	0.0793924
cappuccino	0.0784385
"apple juice"	0.0782073
syrup	0.0778413
"olive oil"	0.0776091
"ginger ale"	0.0771947
"root beer"	0.0770246
perfume	0.0767287
soup	0.0762028
pizza	0.0760179
Liquid	0.0742885
ketchup	0.0739461
candy	0.0737466
dessert	0.0736496
cola	0.0734558
sweat	0.073086
"foie gras"	0.0729834
firework	0.0728446
yogurt	0.0728285
mustard	0.0727257
"Grand Marnier"	0.0727092
cream	0.0717286
"Diet Coke"	0.0715839
fruit	0.0715716
sauce	0.0714215
bread	0.0713541
"Sauvignon blanc"	0.0709916
popcorn	0.0704759
Gatorade	0.0703365
coke	0.06944
"alcoholic beverage"	0.0694219
buttermilk	0.0690088
sugar	0.0688485
water	0.0687975
cigarette	0.068634
meal	0.0682995
dinner	0.0675566
dish	0.0674578
"fruit juice"	0.0671542
Burgundy	0.0670374
raspberry	0.0669845
ale	0.0669732
salad	0.0667909
gasoline	0.066745
grape	0.06635
truffle	0.0657739
snack	0.0655049
"tomato sauce"	0.0650121
pasta	0.0646106
sweet	0.0645475
berry	0.0643611
honey	0.0643042
glass	0.0640246
sandwich	0.0634395
tomato	0.0631742
Garlic	0.0630327
meat	0.0629393
steak	0.062905
vanilla	0.0627982
flower	0.0626274
"lemon juice"	0.0624493
spice	0.0624073
cocoa	0.0623901
"peanut butter"	0.062037
confetti	0.061813
oyster	0.0617469
"hot dog"	0.0617436
vegetable	0.0616515
"green tea"	0.0612649
espresso	0.0608995
lemon	0.0607261
"whipped cream"	0.0606939
Margarita	0.0603129
shampoo	0.0600717
custard	0.0600564
breakfast	0.0599561
egg	0.0598983
seafood	0.0594992
soap	0.0593756
"soy sauce"	0.0591302
salt	0.0587411
pint	0.058622
blood	0.0585896
oil	0.0584755
broth	0.058012
"maple syrup"	0.057854
"hot sauce"	0.0577678
pepper	0.0572204
Bordeaux	0.057098
"lime juice"	0.0570404
chicken	0.0568345
"cooking oil"	0.0568033
lobster	0.056738
cooky	0.0567059
onion	0.0564566
"barbecue sauce"	0.0563024
shrimp	0.0562772
pistachio	0.0559554
herb	0.0559096
"tap water"	0.055787
barbecue	0.0555981
mayonnaise	0.0555124
Budweiser	0.0555014
Cherry	0.0554263
appetizer	0.0551523
tarragon	0.0551193
strawberry	0.0550834
peach	0.0548731
ticket	0.0548714
buffet	0.0548566
cracker	0.0547987
pastry	0.0545782
mango	0.0543353
souvenir	0.054258
blueberry	0.0540331
delicacy	0.0540309
mushroom	0.0539154
nut	0.0536546
banana	0.053644
coconut	0.0535557
cup	0.0535178
jewelry	0.0534361
"vegetable oil"	0.053427
"chicken stock"	0.0529556
peanut	0.0528867
"vanilla ice cream"	0.0526816
Hug	0.0525716
Orange	0.0525591
Pepsi	0.0523082
pecan	0.0521822
brie	0.0518863
raisin	0.0515363
gift	0.051516
"scrambled egg"	0.0513999
sausage	0.0513977
fish	0.0513665
apple	0.051257
bagel	0.0510731
bean	0.0509276
shallot	0.0508678
ham	0.0504892
noodle	0.0504687
Hamburger	0.0504538
"brown sugar"	0.0503769
))
(champion (desc 220244) (sims
medalist	0.262294
champ	0.223445
winner	0.220902
titlist	0.173749
medallist	0.165475
runner-up	0.162266
title	0.156095
holder	0.143905
seed	0.142164
championship	0.139023
team	0.136075
player	0.125003
finalist	0.124112
medal	0.120593
"world record"	0.117315
favorite	0.114601
"number one"	0.112878
gold	0.112119
"Pete Sampras"	0.108949
"world record-holder"	0.108815
contender	0.107956
"No. @"	0.107807
crown	0.107599
V	0.10667
final	0.106427
three-time	0.106214
"Andre Agassi"	0.105238
"Lindsay Davenport"	0.105028
"Martina Hingis"	0.104629
finisher	0.103086
compatriot	0.101666
swimmer	0.101551
"Monica Seles"	0.1012
"Steffi Graf"	0.100472
star	0.10029
sprinter	0.0993125
Hingis	0.0989281
"medal winner"	0.0983356
runners-up	0.0972789
Sampras	0.0963305
No.	0.0962547
semifinalist	0.095686
rival	0.0937093
"Venus Williams"	0.0930579
world	0.0929337
teammate	0.0927458
tournament	0.0918502
golfer	0.0915691
Olympian	0.0904194
"Patrick Rafter"	0.0900259
semifinal	0.0899466
athlete	0.0885327
skater	0.0877518
record-holder	0.0876252
boxer	0.0875518
bt	0.0874477
victory	0.0854032
"Yevgeny Kafelnikov"	0.0849277
Seles	0.0846807
Agassi	0.0842352
"tennis player"	0.083438
opponent	0.0832539
"Arantxa Sanchez Vicario"	0.0819662
"most valuable player"	0.0813733
qualifier	0.0811959
gymnast	0.081115
rookie	0.0810786
"Boris Becker"	0.0803755
club	0.0802739
"Maurice Greene"	0.0799709
MVP	0.0796296
hero	0.0793891
Davenport	0.0788075
second	0.0787733
squad	0.0786673
"Marcelo Rios"	0.0781733
event	0.0780135
quarterfinal	0.077974
"Carlos Moya"	0.0779172
powerhouse	0.0778218
Amateur	0.0777754
favourite	0.0772845
coach	0.0772659
beat	0.0764621
runner	0.0761161
Yankee	0.0759068
race	0.075559
"Michael Johnson"	0.0749293
Holyfield	0.0749193
veteran	0.0747667
record	0.0745503
"Michael Chang"	0.0745246
competition	0.0739387
"Jana Novotna"	0.073826
trophy	0.073655
third	0.0736013
"Mary Pierce"	0.0732873
king	0.0732532
No.@	0.0728528
Lakers	0.0726363
cyclist	0.0724718
"Serena Williams"	0.072104
"Tiger Woods"	0.0718715
standing	0.0717775
"Marion Jones"	0.0717263
driver	0.0716771
host	0.0711534
"Gustavo Kuerten"	0.0710309
"Manchester United"	0.0707073
"Goran Ivanisevic"	0.070582
leader	0.0699956
brave	0.0699526
scorer	0.0698999
"World Cup"	0.0698203
man	0.0698176
"Lennox Lewis"	0.0697444
freestyle	0.069708
fighter	0.0696297
Brazil	0.0694666
rider	0.0693546
"Real Madrid"	0.0693156
heavyweight	0.0692209
superstar	0.0688009
"South Korea"	0.0687086
ranger	0.0686643
men's	0.0685189
skier	0.0683941
round	0.0683165
match	0.0683002
berth	0.0680931
Wimbledon	0.0680182
"Greg Rusedski"	0.0678047
competitor	0.0676798
challenger	0.0676669
woman	0.067658
cardinal	0.0675441
Spaniard	0.067429
Novotna	0.0673573
win	0.0670139
racer	0.0668219
Graf	0.0666451
bruin	0.0666333
game	0.0662754
Sweden	0.0661188
Olympic	0.0659982
fifth	0.0659674
Williams	0.0658835
"Evander Holyfield"	0.0655959
"Todd Martin"	0.0654181
underdog	0.0653936
"De La Hoya"	0.0653616
cowboy	0.0651843
"Tim Henman"	0.064554
England	0.0643549
Australia	0.0643289
league	0.0643233
bronze	0.0641327
American	0.0639858
Knicks	0.0639561
horse	0.0631567
partner	0.063154
silver	0.0631272
Giants	0.0629294
"Czech Republic"	0.0628396
"U.S. Open"	0.0627622
Mets	0.0625764
Norway	0.062524
Rafter	0.0624167
dodger	0.0623619
starter	0.0616908
guy	0.061651
sixth	0.0615141
four	0.0614907
two	0.0613287
"Anna Kournikova"	0.0612894
ranking	0.0612489
bull	0.0611367
one	0.0610546
loser	0.0610358
member	0.0605957
defender	0.0604912
bronco	0.060471
Juventus	0.0603648
Italy	0.0602826
ASTROS	0.0602639
quarterback	0.0602381
"Chicago Bulls"	0.0602288
soccer	0.0600971
Netherlands	0.0600588
All-Star	0.0600347
"Mike Tyson"	0.0599988
"Red Sox"	0.0598609
captain	0.0597533
fourth	0.0594253
triumph	0.0593555
Denmark	0.059334
Spain	0.0592891
Tyson	0.0592493
duo	0.059239
colt	0.0591468
))
("Champions Cup" (desc 4303.41) (sims
"European Champions Cup"	0.34873
"European Cup"	0.279803
"UEFA Cup"	0.272384
"European Champions League"	0.26945
"Cup Winners Cup"	0.25808
"Champions League"	0.250179
"League Cup"	0.247664
"Hamlet Cup"	0.241228
"Kremlin Cup"	0.236029
"Stockholm Open"	0.235117
"Italian Open"	0.230083
"Italian Cup"	0.229969
"F.A Cup"	0.229364
"FA Cup"	0.226846
"Grand Slam Cup"	0.219831
"Asian Cup"	0.215819
"Libertadores Cup"	0.215171
"German Open"	0.21479
"Hong Kong Open"	0.211502
"Maurier Open"	0.199557
"ATP Championship"	0.198955
"Davis Cup World Group"	0.196391
"Paris Open"	0.194674
"Lipton Championships"	0.193302
"Japan Open"	0.187369
"Canadian Open"	0.182773
"Federation Cup"	0.176582
"Acura Classic"	0.168305
"Louis Vuitton Cup"	0.167795
EuroLeague	0.167247
"World Group"	0.165748
"National Invitation Tournament"	0.163158
"European Championship"	0.159496
Maurier	0.159305
"Midwest Regional"	0.155022
"African Nations Cup"	0.154748
"Uber Cup"	0.154304
"Chase Championships"	0.150649
"Swiss Open"	0.149231
"Copa America"	0.147975
"Thomas Cup"	0.147416
"U.S. Amateur"	0.141682
nit	0.140511
"West Regional"	0.140345
"Gold Cup"	0.136647
"Fed Cup"	0.135068
"Davis Cup"	0.133319
"first cup"	0.133234
"ATP Tour World Championship"	0.131
"World Team Cup"	0.130653
epee	0.129221
"Euro @@@@"	0.125753
"French Open"	0.12557
"US Open"	0.125456
"London Marathon"	0.123969
"Australian Open"	0.123337
"African Cup"	0.123062
"Chinese Basketball League"	0.121373
"U.S. Open"	0.120449
"Confederations Cup"	0.118109
hardcourt	0.116619
"ATP Tour"	0.116602
"Hopman Cup"	0.115523
"South Regional"	0.114305
"Sudirman Cup"	0.113147
"Nations Cup"	0.11184
CONCACAF	0.111545
"Little League World Series"	0.111302
tourney	0.108514
"European Championships"	0.106509
ATP	0.106507
"basketball league"	0.103296
"field hockey"	0.0993627
"stroke play"	0.0967366
"MLS Cup"	0.0964982
"Dunhill Cup"	0.0951818
Wimbledon	0.0945901
"Western Open"	0.0937838
Bundesliga	0.0932376
scull	0.0915138
"Stanley Cup"	0.0900696
"first tour"	0.089867
"World League"	0.089731
"NCAA Tournament"	0.0895018
"round robin"	0.089084
"U.S. Senior Open"	0.0877654
"ice hockey"	0.08769
"cup final"	0.0875625
men's	0.0875489
"Big Sky Conference"	0.087051
"WTA Tour"	0.0869668
"Boston Marathon"	0.0849174
"World Basketball Championship"	0.0837861
"grand slam"	0.0831809
backstroke	0.0819423
"New York City Marathon"	0.0819402
"Daytona @@@"	0.0807427
"Indy @@@"	0.0807085
"first pole"	0.0805276
"Pan Pacific"	0.0802834
"Western Conference"	0.0802271
"high jump"	0.0801805
skeet	0.0801324
"water polo"	0.0801002
snooker	0.0787286
"East Regional"	0.0784799
"Group @"	0.0782413
"Cup Juvenile"	0.0780786
"World Table Tennis Championships"	0.0775367
"Nissan Open"	0.0773489
badminton	0.0770555
pentathlon	0.0768205
"Buick Classic"	0.0761233
Masters	0.0755694
"Western Athletic Conference"	0.0752212
"Italian League"	0.0749244
under-@@	0.0748596
Giro	0.0747418
"hammer throw"	0.0747159
"Santa Anita Derby"	0.0745136
"Big West"	0.0744239
"World Championship"	0.0743472
"National Collegiate Athletic Association"	0.0736377
slalom	0.0734489
"NFC East"	0.0734408
breaststroke	0.0733252
"College World Series"	0.07318
"Eastern Conference"	0.0726291
"shot put"	0.0724551
freestyle	0.0724531
"Grand Prix"	0.0723232
"Basketball Championship"	0.0720877
"Tony Award"	0.0720395
Heptathlon	0.0720022
decathlon	0.0719606
WAC	0.0718768
"match play"	0.0718153
"Phoenix Open"	0.0716563
Lipton	0.0715689
bantamweight	0.0714372
"United States Open"	0.071091
quarterfinal	0.0710267
"Sweet @@"	0.0709417
treble	0.0705109
repechage	0.0705083
"Wimbledon Tennis Championships"	0.0703335
PBA	0.0699629
best-of-@	0.0698117
"Atlanta Olympic"	0.0696611
three-meter	0.0692683
"Tour Championship"	0.0692127
"Buick Invitational"	0.0691767
"European Tour"	0.0690247
"Premier League"	0.0688499
"British Open"	0.0687352
CWS	0.0687169
handball	0.0687143
"Asian Games"	0.0684965
"triple crown"	0.068127
"AFC Central"	0.0681101
"Big East"	0.068095
"Brickyard @@@"	0.0679948
Super-G	0.0678828
volleyball	0.067806
javelin	0.0677758
"Southwest Conference"	0.0674152
tennis	0.0670137
"long jump"	0.0669642
NCAA	0.0669022
"Roland Garros"	0.0668486
Holyfield-Lewis	0.0666748
"Top Fuel"	0.066646
"AFC West"	0.0666079
O'Meara's	0.0665351
"Loch Lomond"	0.0663563
"first nine"	0.0662221
pre-Olympic	0.0661994
"Atlantic Coast Conference"	0.0661556
"Commonwealth Games"	0.06603
"table tennis"	0.0656035
"won nine"	0.0655467
GP	0.0655347
WTA	0.0651706
"NFC West"	0.0650859
"NL Central"	0.064886
"Cy Young Award"	0.0644518
"ski jumping"	0.0644361
"Kentucky Derby"	0.0641328
"Central Division"	0.0639506
"first eight"	0.0638569
dressage	0.0636903
regionals	0.0636082
"Pan Ams"	0.0634764
pennant	0.0633237
"Big Sky"	0.0633037
"NL West"	0.0632917
"Dinah Shore"	0.0632842
Futurity	0.063013
NFC	0.0629746
"PGA Championship"	0.0624461
))
("Champions Golf Club" (desc 1382) (sims
"LA COSTA"	0.114773
"Augusta National Golf Club"	0.103143
"Baylor College of Medicine"	0.0963983
"Riviera Country Club"	0.0869639
"Methodist Hospital"	0.0805148
"Tour Championship"	0.0777229
"Exposition Park"	0.0697586
"Rice University"	0.0666909
"Royal Birkdale"	0.0662126
"Hyatt Regency"	0.0630302
"Johnson Space Center"	0.0629167
"Augusta National"	0.0627797
"Pebble Beach"	0.0625052
"Mission Control"	0.062296
"Baylor University"	0.0613611
"East Lake"	0.059648
"CHARLOTTE STING"	0.0588669
"Space Needle"	0.0580304
"Olympic Club"	0.0557785
"Western Open"	0.055459
"College of Charleston"	0.053605
TPC	0.0534139
"O'Hare International Airport"	0.0528405
"Sahalee Country Club"	0.0527419
"Mastercard Colonial"	0.0519747
Galleria	0.0518595
"Manhattan Beach"	0.0516453
"Centennial Olympic Games"	0.0515812
Carnoustie	0.0512247
Halle	0.0510063
"Pleasant Valley"	0.0507495
"Victoria Park"	0.0505981
Linz	0.0502269
"Southern Poverty Law Center"	0.049855
"Texas Air National Guard"	0.0496546
"Shell Oil"	0.0495597
Pinehurst	0.0485894
"Indian Wells"	0.0476059
"Fleet Center"	0.0469535
"Compaq Center"	0.0466868
Universiade	0.0461247
Eastbourne	0.0451179
"Le Cirque @@@@"	0.0447503
"Omaha Beach"	0.0445715
"Old Course"	0.0443499
"East Asian Games"	0.0443064
"Magic Kingdom"	0.0441622
Kitzbuehel	0.0439302
"McNeese State"	0.0436333
"Julius Francis"	0.0435439
"United Center"	0.0430115
"Claudia Benton"	0.0427669
"New York Liberty"	0.0427516
"Jewish Community Center"	0.0413229
"Sino-British Joint Liaison Group"	0.0411747
"Eighth National Games"	0.0410823
AFL	0.0406481
"Olympic Winter Games"	0.0404076
Gelsenkirchen	0.0403396
newswoman	0.0401579
Carlsbad	0.0400691
))
("Champions League" (desc 10461.1) (sims
"European Champions League"	0.356569
"UEFA Cup"	0.290931
"Champions Cup"	0.250179
"European Champions Cup"	0.246536
"Cup Winners Cup"	0.204898
"Davis Cup World Group"	0.191417
"Italian Cup"	0.190809
"European Championship"	0.186347
"Euro @@@@"	0.185443
"European Cup"	0.183932
"FA Cup"	0.174957
"World Group"	0.173393
"League Cup"	0.170634
"Libertadores Cup"	0.163625
"Fed Cup"	0.152616
"Federation Cup"	0.148477
"Asian Cup"	0.14796
EuroLeague	0.145632
"National Invitation Tournament"	0.141403
"African Nations Cup"	0.138649
"F.A Cup"	0.138437
"Chinese Basketball League"	0.13631
"English Premier League"	0.133415
"Davis Cup"	0.129839
"Premier League"	0.12932
"cup final"	0.129155
"Confederations Cup"	0.127079
"round robin"	0.126763
"Copa America"	0.126514
Bundesliga	0.124286
"European Championships"	0.120547
quarterfinal	0.119632
"Hamlet Cup"	0.11943
"Uber Cup"	0.118108
"European Champions"	0.116921
"Italian League"	0.116705
"World Cup"	0.115168
"African Cup"	0.112756
"Australian Open"	0.1124
"Louis Vuitton Cup"	0.110942
"Group @"	0.108075
"French Open"	0.107135
"South Regional"	0.106981
"Grand Slam Cup"	0.106182
"Thomas Cup"	0.104347
"Little League World Series"	0.103622
"German Open"	0.103411
"Midwest Regional"	0.102707
"Stockholm Open"	0.102632
nit	0.102629
"Solheim Cup"	0.101438
"Canadian Open"	0.10127
"Italian Open"	0.100645
"basketball league"	0.0993717
semifinal	0.0991604
"US Open"	0.0978089
Serie	0.0973398
"U.S. Open"	0.0970343
"East Regional"	0.0963249
"NCAA Tournament"	0.0961982
"Hong Kong Open"	0.0961622
"Chase Championships"	0.0961582
"Japan Open"	0.0932913
CONCACAF	0.0928855
tournament	0.0924767
"Gold Cup"	0.0921366
"ATP Championship"	0.0910324
"West Regional"	0.0907404
"Hopman Cup"	0.0902047
tourney	0.0885198
playoff	0.0878775
"U.S. Senior Open"	0.0873837
"Eastern Conference"	0.0873443
"field hockey"	0.0870173
"Paris Open"	0.0867448
"Tour Championship"	0.0867365
cup	0.0857164
championship	0.0851205
"Western Conference"	0.0849785
"Acura Classic"	0.0840552
"U.S. Amateur"	0.0829342
"Asian Games"	0.0825216
men's	0.0823899
league	0.0822842
"Dunhill Cup"	0.081831
"Ryder Cup"	0.0808252
"Lipton Championships"	0.080562
postseason	0.0805058
best-of-@	0.0800181
epee	0.07923
"Volleyball Championship"	0.0783972
"Wimbledon Tennis Championships"	0.0776553
volleyball	0.0772485
"Sudirman Cup"	0.0771678
"Kremlin Cup"	0.0764833
Wimbledon	0.0764531
relegation	0.076335
"AFC West"	0.0762487
"World League"	0.0762407
"Big East"	0.0762045
"Nissan Open"	0.0759251
"Volleyball Grand Prix"	0.0759135
ATP	0.0756594
"College World Series"	0.0744439
"Big Sky Conference"	0.0739876
"NFC East"	0.0727451
"Western Athletic Conference"	0.0725179
backstroke	0.0719224
"first six"	0.0718674
"water polo"	0.0712577
"Grand Prix"	0.0709717
"ATP Tour World Championship"	0.0709244
"grand slam"	0.0708926
"ATP Tour"	0.070828
"Fiesta Bowl"	0.0708067
qualifier	0.0706805
"Maurier Open"	0.0705936
under-@@	0.0705289
"NBA Finals"	0.0704528
"first four"	0.0702555
"Nations Cup"	0.0700852
"first cup"	0.0696412
"World Championship"	0.0696015
soccer	0.0693319
"Sydney Olympic Games"	0.0675831
Premiership	0.0675018
"primary election"	0.0666998
"first three"	0.0666377
"Western Conference Finals"	0.0665219
"next five"	0.0663767
"British Open"	0.0662679
"match play"	0.0660309
breaststroke	0.0657811
freestyle	0.065466
"sugar bowl"	0.0654168
"ice hockey"	0.0654022
"Atlantic Coast Conference"	0.0653785
"Big @@"	0.065218
"Southeastern Conference"	0.0648034
"Daytona @@@"	0.0647671
"regulation time"	0.0645162
"Commonwealth Games"	0.0643364
"Western Open"	0.0642986
foursome	0.0632112
relay	0.0631118
"Swiss Open"	0.0625271
"English Football Association"	0.0624155
dressage	0.0624104
WNBA	0.0623824
"first two"	0.0612036
"Sydney Olympics"	0.0609802
"Pan American Games"	0.0601614
slalom	0.0599624
badminton	0.0599301
Filderstadt	0.0598814
"Eastern Division"	0.05973
Maurier	0.0596798
first-round	0.0596615
UEFA	0.0595878
H	0.0594581
"first five"	0.0590119
"Cactus League"	0.059
"AFC Central"	0.058909
Giro	0.0588799
pro-am	0.0585305
preliminary	0.058315
"long jump"	0.0583021
"Golden League"	0.058142
Masters	0.0579952
"first @@"	0.0577587
"Atlanta Olympic Games"	0.0577538
"MLS Cup"	0.0575304
doubles	0.0574503
"World Championships"	0.0573685
"first seven"	0.0571994
"Orange Bowl"	0.0571458
ml	0.0570566
"next two"	0.0570165
"Olympic Games"	0.0566375
"Conference USA"	0.0566027
"Division Series"	0.0565312
"exhibition season"	0.0564877
Asiad	0.0564805
"Goodwill Games"	0.0564308
NFC	0.0564031
nonconference	0.0563707
"day game"	0.0562615
"first tour"	0.0561418
"World University Games"	0.05605
"high jump"	0.0560085
marathon	0.055541
NCAA	0.0551914
"Indy @@@"	0.055191
"first nine"	0.054921
"AL West"	0.054886
"NL Central"	0.0547748
"shot put"	0.0546441
Holyfield-Lewis	0.0545471
WAC	0.0545011
"extra inning"	0.0544693
))
(championship (desc 194677) (sims
tournament	0.291405
title	0.264627
final	0.227961
"World Cup"	0.222358
"World Championships"	0.201464
Olympics	0.195321
event	0.179782
"Asian Games"	0.178027
semifinal	0.175702
"Olympic Games"	0.174082
playoff	0.172744
"U.S. Open"	0.172222
game	0.171162
"cup final"	0.171092
"European Championships"	0.169222
medal	0.164391
competition	0.162415
race	0.158882
crown	0.15397
victory	0.153949
match	0.153371
"Australian Open"	0.149759
quarterfinal	0.14848
"World Series"	0.143876
"Commonwealth Games"	0.143017
"French Open"	0.139636
round	0.139537
"British Open"	0.139375
champion	0.139023
Wimbledon	0.13635
"Grand Prix"	0.136101
"Super Bowl"	0.134839
"Atlanta Olympics"	0.134568
"Atlanta Olympic Games"	0.134532
Masters	0.132961
cup	0.130647
"Stanley Cup"	0.12767
"Sydney Olympics"	0.127392
slalom	0.125648
trophy	0.123648
tourney	0.123485
berth	0.123115
"European Championship"	0.122973
"Atlanta Games"	0.121948
"World University Games"	0.121293
men's	0.120355
pennant	0.120293
"Sydney Olympic Games"	0.120225
win	0.118209
"Goodwill Games"	0.116745
"PGA Championship"	0.115432
marathon	0.114646
postseason	0.1139
gold	0.112848
"Pan American Games"	0.112433
series	0.112205
record	0.11183
team	0.111789
"playoff game"	0.110828
qualifier	0.110474
season	0.110464
opener	0.109082
league	0.107787
ranking	0.106516
freestyle	0.10588
"NBA Finals"	0.10552
"grand slam"	0.10472
"Super Bowls"	0.104595
"Summer Games"	0.104293
"European Cup"	0.103506
"US Open"	0.101715
career	0.101528
"Summer Olympics"	0.101136
major	0.101022
standing	0.100225
four	0.0996796
Super-G	0.0982752
"Ryder Cup"	0.0974024
"Winter Olympics"	0.0973209
"Davis Cup"	0.0959561
contest	0.0958884
start	0.0958633
trial	0.0957255
downhill	0.0956434
relay	0.0953371
tour	0.0950649
conference	0.0946188
"UEFA Cup"	0.0936106
winner	0.0933374
"Euro @@@@"	0.0926564
tennis	0.0924374
finish	0.0914158
"Sydney Games"	0.0911353
appearance	0.091033
"Tour de France"	0.0904545
"world record"	0.0899355
Olympic	0.089192
regatta	0.0888776
"NCAA Tournament"	0.088348
Derby	0.0882957
soccer	0.0882191
preliminary	0.0881931
triumph	0.0877552
matchup	0.0876259
"Kentucky Derby"	0.0876034
election	0.0870757
second	0.0861565
champ	0.0858684
award	0.0858224
showdown	0.0857407
"Game @"	0.0852912
meeting	0.0852366
"Champions League"	0.0851205
athletics	0.0849804
"triple crown"	0.0845664
breaststroke	0.0840926
prize	0.0840198
backstroke	0.0837566
matches	0.0834067
"Rose Bowl"	0.0833436
"long jump"	0.0832617
doubles	0.0830454
"Daytona @@@"	0.0830357
Sydney	0.0824769
"winning streak"	0.0817621
third	0.0817278
spot	0.0816247
eight	0.081615
player	0.0813447
first	0.0811577
summit	0.0810132
last	0.0808671
goal	0.0808474
"exhibition game"	0.0808448
"All-Star Game"	0.0805324
world	0.0801152
loss	0.0799905
basketball	0.0796187
"Fiesta Bowl"	0.0791122
festival	0.0784508
medley	0.0775699
sprint	0.0775447
volleyball	0.0775027
debut	0.0774829
lead	0.0767146
straight	0.0766498
finale	0.0763146
nomination	0.0762019
"Winter Games"	0.076189
squad	0.0759381
Three	0.0759191
"home game"	0.0757377
"road game"	0.0756699
Indianapolis	0.0752245
draw	0.0745758
trip	0.0742858
run	0.073792
success	0.0737687
fourth	0.0736492
runner-up	0.0736077
"Western Conference"	0.073386
"round robin"	0.0732866
winning	0.0729224
play	0.0728787
NBA	0.0728772
"Indy @@@"	0.0727409
football	0.0726381
division	0.0725898
"Eastern Conference"	0.072578
single	0.0724141
semi	0.0723058
bout	0.0722302
Exhibition	0.0721935
majors	0.0721177
Atlanta	0.0721042
club	0.0720531
sport	0.0720361
fifth	0.0720092
primary	0.0718498
seventh	0.0716885
fight	0.0715816
"Hall of Fame"	0.0714179
place	0.0713455
point	0.07132
PGA	0.0710953
inning	0.0707454
hurdle	0.0706887
stage	0.0705974
Nagano	0.070474
shutout	0.0704125
bronze	0.0704104
history	0.0704036
Racing	0.0701995
"home run"	0.0700643
comeback	0.0700228
overall	0.0698877
sixth	0.069628
"first time"	0.0693973
Barcelona	0.0691124
rematch	0.0690493
))
("Championship Auto Racing Teams" (desc 1996.71) (sims
"Indy Racing League"	0.188656
"Busch Grand National"	0.163441
NHRA	0.143335
"NASCAR Winston Cup"	0.143058
IRL	0.133526
cart	0.12608
"Winston Cup"	0.117487
"Top Fuel"	0.11523
"Golden League"	0.111938
"Busch Series"	0.109223
"World Championship"	0.10478
"Grand National"	0.103628
Busch	0.0983269
NASCAR	0.0957245
SMI	0.0925277
"Le Mans"	0.0844425
bobsled	0.0837053
Cliburn	0.0829617
"World Championship Wrestling"	0.079388
"Symantec Corp."	0.0792273
F@	0.0754307
"Hearst Corporation"	0.071499
Ironman	0.070864
"Louis Vuitton Cup"	0.0706248
"Indy @@@"	0.0690591
"Halliburton Co."	0.0688865
"ski jumping"	0.068336
"Pan Ams"	0.0675097
Heptathlon	0.0671668
Ganassi	0.0656648
luge	0.065349
YankeeNets	0.0652305
Iditarod	0.064924
GP	0.0641863
triathlon	0.0638874
ATP	0.063072
"Funny Car"	0.0629229
"World Wrestling Federation"	0.0624808
wheeler	0.0619156
"Grand Prix"	0.0617763
"stock car"	0.0613643
"Home Run Derby"	0.0611873
dressage	0.0605365
"AFC Central"	0.0603898
snooker	0.0601876
"Atlantic Coast Conference"	0.0599884
"LPGA Tour"	0.0599208
"Western Athletic Conference"	0.0598486
USTA	0.0598195
"Wal-Mart Stores Inc."	0.0597738
"WTA Tour"	0.0596494
PATA	0.0595203
decathlon	0.0594736
superspeedway	0.0594105
cruiserweight	0.0592489
"ski jump"	0.0587516
three-meter	0.0586612
"Senior PGA Tour"	0.0585084
pre-Olympic	0.0581249
ABL	0.0577955
snowboard	0.0577941
Dragonair	0.0576984
"ATP Tour"	0.0573907
skeet	0.0572666
"European Tour"	0.0571674
PBA	0.0570228
WCC	0.0568718
"professional golf"	0.0568075
"Pan Pacific"	0.0567246
"hammer throw"	0.0565027
"first cup"	0.0562491
fide	0.0560179
over-@@	0.0555472
"middle distance"	0.0547125
LPGA	0.0545182
"Ford Motor Company"	0.0544229
"figure skating"	0.0543047
"National Thoroughbred Racing Association"	0.0542243
Zanardi	0.0540664
"match play"	0.0539994
Pacific-@@	0.0539748
"National League West"	0.0537788
"junior welterweight"	0.0537147
EuroLeague	0.053666
ACC	0.0535446
bodybuilding	0.0534124
Tenneco	0.0533624
"Senior Tour"	0.0532057
"Eddie Cheever"	0.0528749
"track and field"	0.0528205
"Kenny Brack"	0.0528199
"SEC East"	0.052728
PGA	0.0524748
"Lethal Weapon"	0.0523624
Yachting	0.0522992
"International Skating Union"	0.0521559
NiSource	0.0520721
"won four"	0.0519513
Indy	0.0519027
epee	0.0519021
Suzuka	0.0518577
Irwindale	0.0516039
"won seven"	0.0515794
"London Marathon"	0.0515016
"won nine"	0.0513774
halfpipe	0.0513107
"Hopman Cup"	0.0512632
"Italian Cup"	0.0505595
"Next Generation"	0.0503979
"Big Sky Conference"	0.0503735
"Pepsico Inc."	0.0502518
"PGA Tour"	0.050232
WTA	0.0501775
"Advanced Micro Devices Inc."	0.0500864
NTRA	0.0498613
"AFC West"	0.0498314
"International Boxing Federation"	0.049777
"Ethiopian Airlines"	0.0491434
hardcourt	0.0491401
"American Basketball League"	0.0484923
"Boston Marathon"	0.0484152
best-of-@	0.0483019
under-@@	0.0482945
"public speaking"	0.0482057
"Robby Gordon"	0.0480283
AFL	0.048021
"junior lightweight"	0.0479755
"ELF AQUITAINE"	0.0479444
"American League West"	0.0475691
"Gillette Co."	0.0475377
WAC	0.0474898
"Indianapolis Motor Speedway"	0.0472354
"Fed Cup"	0.0472311
ITT	0.0471233
"National Basketball Association"	0.047109
"triple crown"	0.0470637
"Orange County Register"	0.046949
"silent movie"	0.0467478
subclans	0.0467394
Imola	0.046726
"America West Airlines"	0.0467233
"National League Central"	0.0466558
ECW	0.0464469
ISU	0.0463977
Silverstone	0.0462842
"stroke play"	0.0462814
"NFC East"	0.0460543
"Sears Point"	0.0459668
"U.S. Senior Open"	0.0458134
"Wireless Optus"	0.0457441
Scania	0.0457377
"Central Division"	0.0456951
"Met Life"	0.0456449
Caritas	0.0456444
Infoseek	0.0456065
"BankAmerica Corp."	0.0455881
"Christine Arron"	0.0454639
"Mattel Inc."	0.0454636
"dirt track"	0.0454557
"NFC Central"	0.0454555
"Colin McRae"	0.0453658
NL	0.0453522
"mountain bike"	0.0452829
jeepney	0.0452293
WWF	0.0449659
"won six"	0.0449343
"Times Mirror"	0.0449162
"professional baseball"	0.044788
"Pan Am Games"	0.0447345
"Special Olympics"	0.0446739
"won one"	0.044412
"Mod Squad"	0.0443387
"Modern Library"	0.044298
"Boeing company"	0.0442942
"Atlanta Olympic"	0.0442632
three-and-out	0.0442551
"Uber Cup"	0.0442394
Maxi	0.0442275
"Chevrolet Monte Carlo"	0.0440786
Asarco	0.0440238
CWS	0.0440037
"Motion Picture Association of America"	0.0439511
"AFC East"	0.0439004
"horizontal bar"	0.0438538
Monza	0.0438363
"Black Entertainment Television"	0.0437849
"Federation Cup"	0.0437097
"American Petroleum Institute"	0.0434067
"Legg Mason"	0.0432753
"Twin Peaks"	0.0432606
"NL East"	0.0432084
ml	0.0431818
"League Cup"	0.043107
Unser	0.0429171
"San Jose Mercury News"	0.0428485
"F.A Cup"	0.0428295
"Nancy Kerrigan"	0.0428289
USATF	0.0428094
"Dow Jones &AMP; Co."	0.0427507
A-@@	0.04264
))
("Champs Elysees" (desc 1624.35) (sims
Champs-Elysees	0.264785
"CAC @@"	0.102735
"Left Bank"	0.0887954
CAC	0.0885239
"beaux arts"	0.0861805
"Lexington Avenue"	0.0821017
Sorbonne	0.0790329
Seine	0.0754259
CAC-@@	0.0696341
"Red Square"	0.0678229
"Museum of Natural History"	0.066227
Eaux	0.06608
"Hollywood Boulevard"	0.0657358
"Fifth Avenue"	0.0627414
Bowery	0.0615386
MSF	0.0598946
"Fashion Week"	0.0577307
"ground floor"	0.0570489
Triomphe	0.0541743
amis	0.0538872
"January @@, @@@@"	0.0528671
Thruway	0.0528474
"Lower East Side"	0.0518096
"Seventh Avenue"	0.0511431
"Legion of Honor"	0.0497831
Jeux	0.0487414
"Organization for Economic Cooperation and Development"	0.0475678
"International Herald Tribune"	0.0474505
"European Tour"	0.0468613
Bois	0.0467362
NW	0.046469
Elektra	0.0454435
"Bastille Day"	0.0454242
"Park Avenue"	0.0453315
"Eiffel Tower"	0.0450855
"Sunset Boulevard"	0.0438714
"French Foreign Ministry"	0.0434307
apogee	0.0429339
"first weekend"	0.0423423
"Upper West Side"	0.0421898
"Toronto Stock Exchange"	0.041748
"German Embassy"	0.0414536
"South African Amanda Coetzer"	0.0412297
"Simon Wiesenthal Center"	0.0411761
"Highway @@"	0.0409683
Brasserie	0.0405437
"August @, @@@@"	0.04053
"Fortune Global Forum"	0.0401118
ritz	0.0401082
))
(Champs-Elysees (desc 5071.28) (sims
"Champs Elysees"	0.264785
"Peachtree Street"	0.0799271
"Garvaghy Road"	0.0795332
boulevard	0.0768646
"main street"	0.0745868
avenue	0.0718936
"Eiffel Tower"	0.0651388
"CAC @@"	0.0651307
"Fifth Avenue"	0.0629415
"Bastille Day"	0.060671
"Tiananmen Square"	0.0593561
"Court @"	0.0584626
thoroughfare	0.0577689
Bund	0.0531584
"Tiger Stadium"	0.052196
"Left Bank"	0.051688
CAC	0.0514844
Concorde	0.0513344
"beaux arts"	0.051099
CAC-@@	0.0508838
"Fashion Week"	0.0493115
"National Mall"	0.0467941
Seine	0.0459095
Triomphe	0.0451672
"Interstate @@@"	0.0449547
interstates	0.0446257
"Potala Palace"	0.0441733
"South Lawn"	0.0437487
"opera house"	0.0434586
catwalk	0.0434444
"Miami Fusion"	0.0430725
"Pennsylvania Avenue"	0.0427184
autobahn	0.042627
"Times Square"	0.0417373
"subway station"	0.0415988
"Space Needle"	0.0406767
"New Year's Day"	0.0406639
"Victoria Harbor"	0.0406638
"Sunset Strip"	0.0401271
))
(Chan (desc 9838.49) (sims
Zou	0.153761
Leung	0.13591
Qiao	0.131704
Tsang	0.130637
Wu	0.129095
Khai	0.128542
Shi	0.128028
Goh	0.127049
Tung	0.126499
Zhang	0.126123
Brundtland	0.123328
wen	0.11813
Rong	0.118076
Lau	0.117044
Wong	0.115575
Stoyanov	0.113567
Ho	0.113031
Kasoulides	0.112737
Zeng	0.112603
Wolfensohn	0.112454
Li	0.112326
Qian	0.111563
Velayati	0.111497
Hu	0.111127
Fu	0.107991
Wei	0.10653
Wang	0.105973
LU	0.105914
Klima	0.105325
Liu	0.105179
Jayakumar	0.103046
Meles	0.101276
Chen	0.100479
Rifkind	0.100078
Yu	0.0998703
Ecevit	0.0994801
Mkapa	0.0993846
Kharrazi	0.0993026
Zuma	0.0989945
Zhu	0.0982679
tang	0.0970849
Salim	0.0967105
Brittan	0.0964883
Yang	0.0961616
Ogata	0.0953742
Alatas	0.0953451
Fung	0.0951139
Shipley	0.0946228
Zhou	0.093368
Lim	0.0933653
Chissano	0.093308
Sumaye	0.0930403
Phieu	0.0925376
Ikimi	0.0919255
Huang	0.091887
Tian	0.091514
xu	0.0908536
Abdel-Meguid	0.0904329
Cheng	0.0903052
Lee	0.0894958
Wan	0.0891476
Dai	0.088958
Dini	0.0888461
Nzo	0.0888286
Leghari	0.0887796
Jiang	0.0881749
Chuan	0.087864
Sha	0.086594
Moratinos	0.0865748
Museveni	0.0865444
Gurirab	0.0861906
Guterres	0.0860851
Severino	0.0858849
Fischer	0.0856515
Cheung	0.0855684
Cem	0.0854385
Solana	0.085215
Patten	0.0850302
Hariri	0.0850034
Siazon	0.0847197
Camdessus	0.0847116
Chavalit	0.0846907
Cui	0.0845982
Luo	0.0845863
Kostov	0.0845758
Jia	0.0843773
Ivanov	0.0841385
Xie	0.0834194
Peres	0.0830789
Zhao	0.0830364
Gujral	0.0828652
Kasyanov	0.0827422
Chung	0.0827284
Bao	0.0823769
Chiluba	0.0821495
Rawabdeh	0.0819506
Seleznyov	0.0813169
Lin	0.0811973
Shen	0.081116
Luong	0.0808212
Weizman	0.0807607
Kissinger	0.0806913
Aziz	0.0805896
"de Charette"	0.0805436
Cao	0.0805057
Chi	0.0804538
Abubakar	0.0801152
Hagel	0.0800831
Simitis	0.0794859
Ruehe	0.0794302
Blair	0.0793444
Nazarbayev	0.0793144
Jovanovic	0.0788847
Ahtisaari	0.0786703
Ruggiero	0.0786141
Moussa	0.0784241
Peng	0.0783671
Ahern	0.0782397
Lipponen	0.0779656
Ross	0.0779551
Downer	0.0779171
Nasrallah	0.0774516
Hoffman	0.0772898
Sharif	0.0771627
Hasina	0.0770614
Ahmed	0.0770017
Sharon	0.076968
Kim	0.0769324
Meguid	0.0769282
Mugabe	0.0766248
Primakov	0.0761273
Bellamy	0.0760319
Qu	0.0759798
Cohen	0.0759769
Lo	0.0759525
Milutinovic	0.0758878
Ling	0.0757662
Kinkel	0.0755948
Banharn	0.0755527
Kabariti	0.0755298
Axworthy	0.0755221
Hassan	0.0754807
Nujoma	0.0754698
Rubin	0.0752328
Juma	0.0752288
DeFrantz	0.0749125
Mbeki	0.0748768
Zarb	0.0748338
Deuba	0.0747565
Akayev	0.0747124
Daley	0.0746929
Berger	0.074533
Constantinescu	0.0743431
Mandela	0.0743357
Vedrine	0.0743234
"Lee Hsien Loong"	0.0742907
Albright	0.0741495
Clerides	0.0740678
Sergeyev	0.0739032
Hoss	0.0738917
Ren	0.0737436
Boueiz	0.0735909
"Gro Harlem Brundtland"	0.0735334
Yastrzhembsky	0.0733532
Prueher	0.0731702
Ismail	0.073144
Chretien	0.0730087
al-Sahaf	0.0727645
"Li Peng"	0.0726447
Stroyev	0.0725869
Niyazov	0.0725241
Ye	0.0724892
Ma	0.072478
Monson	0.0724577
Xiong	0.0723513
Majali	0.072243
Browne	0.0720844
Tobin	0.0717341
Arbour	0.0716313
Lai	0.0709747
Pustovoitenko	0.0709199
Blatter	0.070523
Friedman	0.0705019
Mubarak	0.0704702
Prodi	0.070467
Wilson	0.0704372
Hanley	0.0703954
Santer	0.0703396
Komura	0.0703256
Menem	0.0702705
Xiao	0.070219
Azad	0.0700438
Patterson	0.0700003
"Goran Persson"	0.0699722
Annan	0.0699493
Rawlings	0.0699203
Stepashin	0.0698208
O'Connor	0.069771
Prewitt	0.0697538
Ng	0.0696015
))
("Chan Gailey" (desc 4520.67) (sims
"Ernie Zampese"	0.240567
"Dave Campo"	0.213442
"Chris Palmer"	0.202523
"Rich Brooks"	0.202423
"Bora Milutinovic"	0.201352
"Mike Martz"	0.194928
"Dave Wannstedt"	0.190212
Gailey	0.187057
"Dick Jauron"	0.186159
"Dom Capers"	0.183848
"Pete Carroll"	0.174191
"Brian Billick"	0.168917
"Pat Burns"	0.163862
"Mike Holmgren"	0.163526
"John Robinson"	0.162682
"Bill Belichick"	0.157968
"Tim Floyd"	0.155414
"Ray Rhodes"	0.148333
"Norv Turner"	0.148266
"Dennis Erickson"	0.146975
"TOM COUGHLIN"	0.145809
"P.J Carlesimo"	0.145249
"Dan Reeves"	0.14442
"Steve Mariucci"	0.144134
"Jim Harrick"	0.14406
"Mike Ditka"	0.143751
"Mike Shanahan"	0.141751
"Jimmy Johnson"	0.139838
Ponciano	0.137509
Holmgren	0.137096
"Lenny Wilkens"	0.136936
"Paul Westphal"	0.135555
"Dennis Green"	0.135078
Martz	0.13477
"Ken Hitchcock"	0.134336
"Al Groh"	0.133147
"Tony Dungy"	0.131516
"Phil Jackson"	0.130928
"Bill Parcells"	0.129575
"Barry Switzer"	0.127897
Fassel	0.127412
"Walter Zenga"	0.125553
"Del Harris"	0.124632
"Mike Dunleavy"	0.123389
"Don Zimmer"	0.122568
"Lou Holtz"	0.120465
"Glenn Hoddle"	0.120463
"Bela Karolyi"	0.120199
Belichick	0.119123
"Larry Brown"	0.118161
"Scotty Bowman"	0.11794
"Dick Vermeil"	0.117718
"George Seifert"	0.117566
"Mack Brown"	0.117498
Zampese	0.117158
"Steve Spurrier"	0.113851
Billick	0.113846
"Rick Neuheisel"	0.113356
"Kurt Rambis"	0.112658
"John Thompson"	0.112375
"June Jones"	0.111471
Harrick	0.109684
Donnan	0.108758
Shanahan	0.106623
"Rudy Tomjanovich"	0.105704
Monson	0.10501
Jauron	0.104732
"Vince Lombardi"	0.104245
Neuheisel	0.104026
"Pat Riley"	0.104012
Hartsburg	0.103693
Milutinovic	0.103452
Campo	0.103423
"Don Baylor"	0.103255
"Tom Landry"	0.103033
"Jerry Sloan"	0.10294
Zambrano	0.101888
Kassirer	0.101777
"Dave McGinnis"	0.101478
"Bobby Bowden"	0.101387
"Ruud Gullit"	0.100411
"Jeff Van Gundy"	0.0985777
"George Karl"	0.098102
"Bill Walsh"	0.0972405
"Don Nelson"	0.0969046
"Rick Pitino"	0.0967745
Groh	0.096626
Wannstedt	0.0965468
Sampson	0.0961834
Lambright	0.0953102
Romar	0.0937974
Parcells	0.0937951
Warshaw	0.0925711
Schoenfeld	0.0925407
Vermeil	0.092366
Shurmur	0.092268
Landry	0.0922625
"Dean Smith"	0.0914461
Calipari	0.0913037
"Don Shula"	0.0912341
"John Calipari"	0.0909739
GRUDEN	0.0907458
"Chuck Daly"	0.0901373
Spurrier	0.0893622
Tobin	0.0891608
Westphal	0.0881825
"Willie Randolph"	0.0880262
"Tom Osborne"	0.0878806
"Glen Sather"	0.0871459
"Mike Krzyzewski"	0.0869037
"Larry Bird"	0.0868903
"Bill Cowher"	0.0857294
Reeves	0.0854533
"Bob Knight"	0.0853482
"Kevin Keegan"	0.0848162
Carroll	0.0840808
Ftorek	0.0839922
"Doc Rivers"	0.083287
Lundberg	0.0826358
Holtz	0.0825688
Cremins	0.0822828
"Rich Rodriguez"	0.0814757
Schottenheimer	0.0813947
Weis	0.0811514
Erickson	0.0810221
Rambis	0.0807665
Pitino	0.0806598
Franchione	0.0801531
Slocum	0.0800313
Bowden	0.0796511
Rhodes	0.0795747
Penders	0.079309
Venables	0.078818
Shula	0.0779577
hough	0.0761993
Hackett	0.076018
"John Wooden"	0.0751522
Haskins	0.0748582
"Gary Kubiak"	0.0748463
Casserly	0.0745485
"Clyde Drexler"	0.0743317
Aliotti	0.0741911
Ditka	0.0739645
Zenga	0.0739226
"Tommy Bowden"	0.0736985
Holzman	0.073689
Passarella	0.073062
"Hans von Sponeck"	0.0724017
Hargrove	0.072373
"John Smith"	0.0722829
"John Fox"	0.0722129
Talebi	0.0718209
Olsen	0.0718121
"Mark Tuinei"	0.0716953
Muckler	0.0711523
Popovich	0.0708975
Gibbs	0.0705955
"Jason Garrett"	0.0702852
"Mel Stottlemyre"	0.0702234
Seifert	0.0698029
Calhoun	0.0693946
Kearin	0.0693596
Schmid	0.0692258
"Jerry Jones"	0.0690011
"Jim Calhoun"	0.0689158
Scioscia	0.0686137
Carlesimo	0.0681686
Zico	0.0681626
"Butch Carter"	0.0681607
Lavin	0.0679386
Gainey	0.0678145
Sherrill	0.0673389
Coughlin	0.067016
O'Brien	0.0669924
Stephenville	0.0668132
"Glenn Hoffman"	0.0667768
Murayama	0.0663386
Riley	0.0660855
Snyder	0.0659901
Krzyzewski	0.065745
"Tex Winter"	0.0656351
Drexler	0.0651736
Grier	0.0649843
Byrdsong	0.0645714
DeBerg	0.0642124
"Dennis Johnson"	0.0634629
Switzer	0.0633215
Fabius	0.0624844
Zimmer	0.0620565
"Dave Cowens"	0.0619733
"Davey Johnson"	0.0615903
Davie	0.0615712
"Johnny Oates"	0.0615216
Birnbaum	0.061324
"Kordell Stewart"	0.0609528
"Colin Campbell"	0.0609498
Coelho	0.0607223
"Al Davis"	0.0603753
Zagallo	0.0602865
"Roger Staubach"	0.0602451
))
("Chan Ho Park" (desc 6891.37) (sims
"Darren Dreifort"	0.349683
"Dave Mlicki"	0.299505
"Eric Gagne"	0.295593
"Ismael Valdes"	0.282464
"Carlos Perez"	0.27875
"Matt Herges"	0.244681
"Mike Judd"	0.233987
"Ramon Martinez"	0.218877
"Steve Parris"	0.215043
"Brian Moehler"	0.211245
"Robinson Checo"	0.209037
"Jamie Arnold"	0.205584
"Orel Hershiser"	0.197152
"Woody Williams"	0.194276
"Jamey Wright"	0.18774
"Kirk Rueter"	0.179547
"Brian Bohanon"	0.178461
"Armando Reynoso"	0.178238
"Andy Ashby"	0.178062
"Kevin Tapani"	0.17773
"Scott Erickson"	0.177193
"Pedro Astacio"	0.176556
"Masato Yoshii"	0.173338
"Pat Hentgen"	0.17289
"Francisco Cordova"	0.171703
"Russ Ortiz"	0.171362
"Gil Heredia"	0.170527
"Jason Bere"	0.169047
"Dustin Hermanson"	0.168998
"Jeff Shaw"	0.168975
"Joey Hamilton"	0.168948
"Alan Mills"	0.168485
"Antonio Osuna"	0.167795
"Pat Rapp"	0.167755
"Mike Fetters"	0.166874
"Andy Benes"	0.166166
"Shane Reynolds"	0.165665
"Rick Helling"	0.165113
"Jon Lieber"	0.163756
"Omar Olivares"	0.161376
"Javier Vazquez"	0.16037
"Chris Carpenter"	0.158763
Dreifort	0.157831
"Todd Stottlemyre"	0.157627
"Dave Burba"	0.156589
"John Burkett"	0.155278
"Tim Belcher"	0.155087
"BRIAN MEADOWS"	0.154532
"Sean Bergman"	0.153338
"Esteban Loaiza"	0.153138
"Byung-Hyun Kim"	0.153136
"Bret Saberhagen"	0.152957
"Mark Portugal"	0.151182
"Mark Gardner"	0.151098
"John Smoltz"	0.151056
"Kevin Brown"	0.150898
"Aaron Sele"	0.1505
"Steve Sparks"	0.149479
"Brett Tomko"	0.149116
"Pete Harnisch"	0.148849
"Gary Sheffield"	0.148276
Valdes	0.14825
"Al Leiter"	0.148121
"Jeff Williams"	0.148112
"Bryce Florie"	0.147433
"Terry Adams"	0.147377
"Jesus Sanchez"	0.147047
"Rick Reed"	0.145332
"Willie Blair"	0.145093
"Ken Cloude"	0.144978
"Kent Mercker"	0.143432
"Greg Maddux"	0.143344
"Mike Sirotka"	0.1431
"Darryl Kile"	0.143002
"Mac Suzuki"	0.142604
Helling	0.141621
"Paul Abbott"	0.141601
"Livan Hernandez"	0.141494
"Kerry Wood"	0.141175
"Rolando Arrojo"	0.140877
"Adrian Beltre"	0.140663
"Kevin Appier"	0.140656
Bottenfield	0.140421
"Octavio Dotel"	0.140276
"Hideo Nomo"	0.139813
"Scott Elarton"	0.139465
"Jamie Moyer"	0.137634
"Kent Bottenfield"	0.137324
"Shawn Estes"	0.136758
"Jason Schmidt"	0.136656
"Charles Nagy"	0.136208
"Kevin Millwood"	0.136194
"Tim Wakefield"	0.135737
"Jeff Weaver"	0.135714
Trachsel	0.135494
Harnisch	0.135306
"Steve Trachsel"	0.13517
"Dan Miceli"	0.135055
"Jose Lima"	0.134657
"Scott Radinsky"	0.134639
"Mike Morgan"	0.134464
"Alex Fernandez"	0.134037
"Jaret Wright"	0.133801
"Tom Candiotti"	0.133726
"Ryan Dempster"	0.133242
"Brad Radke"	0.133125
"Eric Young"	0.132877
Gagne	0.132271
"Eric Milton"	0.131952
"Todd Hollandsworth"	0.131885
"Jason Dickson"	0.131686
Ankiel	0.131471
Belcher	0.131363
"Chuck Finley"	0.130563
"Brian Anderson"	0.130474
"Bartolo Colon"	0.130139
Daal	0.129956
"Juan Guzman"	0.128743
"Jeff Fassero"	0.128366
"Freddy Garcia"	0.128312
"Terry Mulholland"	0.12774
Dempster	0.127662
"Matt Morris"	0.127613
Kile	0.127372
"Chris Holt"	0.127301
"Hideki Irabu"	0.127232
Benes	0.127167
"Andy Pettitte"	0.127109
"Brad Penny"	0.126976
"Ken Hill"	0.126116
"Dwight Gooden"	0.126075
"Paul Byrd"	0.125874
"Al Levine"	0.125599
"Mike Mussina"	0.125591
Sele	0.125439
"Orlando Hernandez"	0.12525
"Scott Karl"	0.124746
"Jose Jimenez"	0.124619
"Wilson Alvarez"	0.124446
Rueter	0.124308
Glavine	0.124139
"Jeff Zimmerman"	0.124008
"Bobby Jones"	0.122526
"Jason Isringhausen"	0.122506
Hershiser	0.122206
"Jim Parque"	0.122205
"John Wasdin"	0.121673
"Devon White"	0.121653
"Mike Hampton"	0.121403
"Robb Nen"	0.121294
"Sidney Ponson"	0.121276
"Brian Rose"	0.120815
"Mike Remlinger"	0.119553
"Brett Hinchliffe"	0.119398
Rusch	0.119311
"Ramiro Mendoza"	0.11927
"Danny Graves"	0.119256
"John Halama"	0.119043
"Ramon Ortiz"	0.11898
Hermanson	0.11874
"Russ Springer"	0.118384
Smoltz	0.118186
"Roger Clemens"	0.117744
"Gregg Olson"	0.1177
"Eric Karros"	0.117444
Radke	0.117411
"James Baldwin"	0.117395
"Curt Schilling"	0.116987
Mlicki	0.116719
"Carl Pavano"	0.11636
"Shigetoshi Hasegawa"	0.116285
Maddux	0.116256
Reynoso	0.116121
"Vladimir Nunez"	0.116045
Bohanon	0.115925
"Mark Petkovsek"	0.115621
"STEVE WOODARD"	0.115531
"Tim Hudson"	0.114633
"David Cone"	0.11445
"F.P Santangelo"	0.114328
Nomo	0.114086
"Pat Mahomes"	0.11385
"Omar Daal"	0.113242
"Trevor Hoffman"	0.112229
Leiter	0.111589
"Jack McDowell"	0.111584
"Gil Meche"	0.111577
Nagy	0.11093
"Danny Patterson"	0.110359
"Tom Glavine"	0.110163
"John Snyder"	0.110127
"Bill Pulsipher"	0.109567
Elarton	0.109322
"Onan Masaoka"	0.108367
"Sterling Hitchcock"	0.108021
"Turk Wendell"	0.107476
Perisho	0.107155
Schoeneweis	0.107109
"David Wells"	0.106985
Moyer	0.106917
Astacio	0.106567
Fassero	0.10655
Grimsley	0.106482
"Mark Clark"	0.106436
Hentgen	0.105972
"Bruce Chen"	0.105558
"Scott Williamson"	0.105482
Perez	0.105305
Schourek	0.105286
Mercker	0.105217
"Randy Johnson"	0.104916
"Ryan Glynn"	0.104735
"Troy Percival"	0.104662
"Doug Henry"	0.104643
Millwood	0.10442
"Paul Shuey"	0.104091
Heredia	0.103548
"Mark Grudzielanek"	0.103523
"Pedro Borbon"	0.103408
"Dennis Cook"	0.103124
"Ron Villone"	0.102762
Dotel	0.102282
Halama	0.102152
"Mike Magnante"	0.101781
"Wilton Guerrero"	0.101762
"Pedro Martinez"	0.101406
Tapani	0.101176
"Rod Beck"	0.100852
Burkett	0.100815
"Todd Hundley"	0.100745
Mussina	0.100636
Parris	0.10044
Neagle	0.100424
Yoshii	0.100048
))
(chance (desc 182887) (sims
opportunity	0.186443
prospect	0.148285
hope	0.136681
possibility	0.133739
shot	0.128322
likelihood	0.119523
goal	0.110106
victory	0.109571
success	0.107652
advantage	0.104495
ability	0.103204
game	0.101484
risk	0.0967334
probability	0.0960773
win	0.09349
potential	0.0934876
attempt	0.093481
time	0.0930252
outcome	0.0887679
record	0.0887655
lead	0.0883681
challenge	0.0874508
thing	0.0872854
run	0.0867533
result	0.0862357
need	0.0860118
experience	0.0859688
momentum	0.0848858
odds	0.0841244
point	0.0840738
team	0.0839991
Luck	0.0837215
future	0.0828825
play	0.0823244
support	0.0820909
effort	0.0819365
performance	0.0819289
choice	0.0817065
vote	0.0814384
start	0.080321
way	0.0796375
ball	0.0796234
money	0.0794363
player	0.0794131
bid	0.0790204
desire	0.0789945
expectation	0.0782622
event	0.0780671
job	0.0778542
one	0.0771468
appearance	0.0770769
place	0.0770663
sign	0.0770012
confidence	0.0769625
plan	0.0768738
idea	0.076685
option	0.0764503
right	0.0762842
second	0.0762526
loss	0.0762525
score	0.0761544
moment	0.0761115
problem	0.0758712
offense	0.0757477
number	0.0757141
first	0.0756392
promise	0.0754271
reason	0.0752916
something	0.0752771
two	0.0751549
match	0.0750044
"field goal"	0.0748292
race	0.0748247
return	0.0747991
margin	0.0746221
strength	0.074616
strategy	0.0746082
title	0.0745893
talent	0.0744517
comeback	0.0743781
putt	0.0743674
fun	0.0743378
mistake	0.0740503
life	0.0740285
offer	0.0737517
third	0.073661
more	0.0731323
Defense	0.0731273
threat	0.0730196
look	0.0728742
impact	0.0728621
deal	0.0728274
role	0.0725708
streak	0.0725169
touchdown	0.0724902
lot	0.0722687
much	0.0721882
season	0.0720136
kind	0.0713953
situation	0.0713334
career	0.0712777
dream	0.0709386
it	0.0707266
that	0.0703862
position	0.070176
"winning streak"	0.0700885
defeat	0.0699531
benefit	0.0698984
case	0.0698188
series	0.0698098
Three	0.0698088
at-bat	0.0694443
danger	0.0691831
change	0.0691512
spot	0.0690164
competition	0.06898
medal	0.068848
intention	0.0687581
hit	0.0687486
decision	0.0687293
winner	0.0686916
quest	0.0684177
credibility	0.0682141
motivation	0.0681586
pass	0.0680179
proposal	0.0680034
penalty	0.0676671
accomplishment	0.0673733
evidence	0.0673563
guy	0.0672409
opponent	0.0672394
inning	0.0672229
achievement	0.0670128
move	0.0670065
championship	0.0668516
"power play"	0.0667631
attention	0.0666926
process	0.0665033
round	0.0664782
trouble	0.0663893
indication	0.0663144
progress	0.0663077
thought	0.0662815
nothing	0.0662421
answer	0.0660936
step	0.0659868
recovery	0.0659603
sense	0.0657009
issue	0.0656836
break	0.0656507
appeal	0.0656244
"home run"	0.0655473
interest	0.0655317
playing	0.0654485
feeling	0.0651865
percentage	0.0651264
candidacy	0.0650692
outlook	0.0650484
incentive	0.0649858
condition	0.0649247
contender	0.0648297
effect	0.0648009
kick	0.0647067
reputation	0.0647059
triumph	0.0646434
coverage	0.0646248
pressure	0.0645798
skill	0.0644888
four	0.0643703
fate	0.0643432
"free throw"	0.0643403
all	0.0642669
rebound	0.0641761
power	0.0640177
reward	0.0639814
status	0.06393
fight	0.0638802
"first time"	0.0638698
timing	0.0638438
finish	0.0638352
excuse	0.0638237
growth	0.0637735
distraction	0.0637189
rating	0.0636904
trip	0.0635598
willingness	0.0635469
candidate	0.0634938
anything	0.0633911
question	0.0633672
test	0.0632692
people	0.063177
favorite	0.0631289
some	0.0630482
enough	0.0630004
news	0.0629579
campaign	0.0629541
showing	0.0628971
memory	0.0628266
part	0.0628173
contest	0.0627815
))
(chancellery (desc 1754.02) (sims
"Jewish Museum"	0.0908215
Reichstag	0.0825944
"Labor office"	0.0759051
"American Jewish Committee"	0.072581
"Christian Democratic Party"	0.0633011
"Martin Schmitt"	0.0612769
"Field Poll"	0.0610972
"US Embassy"	0.0610352
"Brandenburg Gate"	0.0600199
"Heike Drechsler"	0.057946
Kinkel	0.0576496
"National Economic Council"	0.0571868
"Christian Democratic Union"	0.0546618
"Siemens AG"	0.054114
SPD	0.0539207
"Political Department"	0.0537524
"Axel Schulz"	0.0530952
Chancellor-elect	0.0527519
"Gunda Niemann-Stirnemann"	0.0516263
"Social Democratic Party"	0.0515285
"Hilde Gerg"	0.0512625
"National Theater"	0.0506686
"National Intelligence Service"	0.0502395
"Mercedes Benz"	0.0497127
"Mannesmann AG"	0.0484259
encirclement	0.048393
"Myanmar Embassy"	0.0483741
"Texas Air National Guard"	0.0483425
toppling	0.0482482
centerfield	0.0481996
meritocracy	0.0481691
armistice	0.048039
"Miller Park"	0.0474238
"General Security Service"	0.0474148
"rise to power"	0.0470377
"Sandra Voelker"	0.0468788
"wrought iron"	0.0468587
"kitchen appliance"	0.0467812
"artificial heart"	0.0464623
"New York Civil Liberties Union"	0.0461031
counterterrorism	0.0460914
"district line"	0.0455338
Three-peat	0.0453258
"choice of words"	0.0451096
earthwork	0.0446526
counterintelligence	0.0444998
"Klaus Naumann"	0.044487
"Daimler-Benz AG"	0.044425
"Justice Ministry"	0.0442542
"Tate Gallery"	0.0441638
"Southern Command"	0.0441361
"Christian Social Union"	0.043675
"U.S. Immigration and Naturalization Service"	0.0436723
"surprise resignation"	0.0436519
"summary judgment"	0.0435077
"German Open"	0.0434865
"Criminal Investigation Department"	0.0433931
"Federal Assembly"	0.0433654
"Serbian Orthodox Church"	0.043299
"five spot"	0.043279
"Martina Ertl"	0.0429735
"Council of Economic Advisers"	0.0429229
granary	0.0428843
"Grand Canyon National Park"	0.04253
"Drug Enforcement Administration"	0.0424501
"Civil Aviation Authority"	0.0424216
protectorate	0.042338
Versailles	0.0423081
Daimler-Benz	0.0422349
grandmaster	0.0422163
"German capital"	0.0415158
conservatory	0.0413943
"patent office"	0.0412918
"Erik Zabel"	0.0411815
"Guggenheim Museum"	0.0411662
obstetrics	0.0409746
joblessness	0.0407574
"regular army"	0.0402201
"Katja Seizinger"	0.0402023
))
(Chancellor (desc 63370) (sims
"Tony Blair"	0.181604
Kohl	0.168606
"finance minister"	0.160618
Premier	0.158572
Schroeder	0.155298
"Benjamin Netanyahu"	0.150584
minister	0.149299
President	0.148281
"secretary of state"	0.147084
"Lionel Jospin"	0.145134
"Ryutaro Hashimoto"	0.14337
"Keizo Obuchi"	0.142067
Mayor	0.141614
Chirac	0.141133
"Romano Prodi"	0.140174
"foreign minister"	0.138263
"Jean Chretien"	0.137256
Yeltsin	0.136213
"John Major"	0.136065
Moi	0.135276
"vice chancellor"	0.134042
"Atal Bihari Vajpayee"	0.134015
"Yevgeny Primakov"	0.132758
Governor	0.132523
commissioner	0.131047
Blair	0.131024
Arafat	0.129825
secretary	0.128323
Speaker	0.127916
"Gerhard Schroeder"	0.127643
"Jose Maria Aznar"	0.127361
"Ehud Barak"	0.127168
leader	0.125586
"John Howard"	0.125274
Netanyahu	0.12481
Mandela	0.124621
"William Cohen"	0.124418
Barak	0.122706
"Binyamin Netanyahu"	0.122372
"Kofi Annan"	0.122365
"Mahathir Mohamad"	0.122058
"Javier Solana"	0.120735
"Chuan Leekpai"	0.120052
Primakov	0.119716
Albright	0.119023
"Rafik Hariri"	0.118668
chairman	0.117077
"vice president"	0.116098
"President Kim Dae-jung"	0.116096
Dehaene	0.115133
"head of state"	0.113945
Hashimoto	0.113897
"Helmut Kohl"	0.113761
Annan	0.11166
Ambassador	0.111036
treasurer	0.110759
"Shimon Peres"	0.110513
Kuchma	0.110192
"Mesut Yilmaz"	0.10932
Secretary-General	0.109202
"Costas Simitis"	0.109159
Mugabe	0.109039
senator	0.108791
Obuchi	0.108706
Vajpayee	0.108348
chief	0.108226
"Nawaz Sharif"	0.108037
"Sergei Kiriyenko"	0.107991
"Viktor Chernomyrdin"	0.107949
"Bulent Ecevit"	0.107649
Jospin	0.107383
Putin	0.106697
"Yoshiro Mori"	0.106596
Mubarak	0.106321
"Goh Chok Tong"	0.106219
"Hun Sen"	0.104634
"general secretary"	0.10452
Chernomyrdin	0.104031
Prodi	0.103924
superintendent	0.103528
General	0.103163
"Chavalit Yongchaiyudh"	0.103074
Chuan	0.102888
legislator	0.102608
Aznar	0.102172
Mahathir	0.102113
"Sheikh Hasina"	0.101798
Mbeki	0.101746
"cabinet minister"	0.101736
"Prime Minister"	0.0999637
Wahid	0.0998299
"deputy foreign minister"	0.0991439
Hariri	0.0974891
"Vladimir Putin"	0.0971349
"Atal Behari Vajpayee"	0.0967708
Peres	0.0966205
"chief executive"	0.0963447
Clinton	0.0962999
"Inder Kumar Gujral"	0.0955594
"Jerzy Buzek"	0.0955516
D'Alema	0.09542
Comptroller	0.0946734
"Social Democrats"	0.0946143
Zedillo	0.0945545
"Benazir Bhutto"	0.0944843
Habibie	0.0943407
"Bertie Ahern"	0.0942864
deputy	0.0939715
Pataki	0.0939315
government	0.0938409
"Alain Juppe"	0.0933311
"Pope John Paul II"	0.0932516
"King Hussein"	0.0932075
Zhu	0.0931083
Ecevit	0.0929061
"Jacques Chirac"	0.092851
envoy	0.0925339
Khatami	0.0922864
Sharif	0.0921733
Menem	0.0920629
Pastrana	0.0914918
lawmaker	0.0913548
official	0.0911782
Clerides	0.0910755
"Meles Zenawi"	0.0909929
al-Assad	0.0909676
administrator	0.0906429
Estrada	0.0905188
bishop	0.0903371
"Boris Yeltsin"	0.0902346
Abubakar	0.0901993
Cohen	0.0900111
Nazarbayev	0.0899804
"John Bruton"	0.0899334
"chief justice"	0.089756
representative	0.089648
"Li Peng"	0.0894983
"Yasser Arafat"	0.0892647
president-elect	0.0892545
Samaranch	0.0889333
Lukashenko	0.0888982
"Jordanian King Abdullah Bin Hussein"	0.088622
Cardoso	0.0886019
Giuliani	0.0880315
"Necmettin Erbakan"	0.0880067
"Janet Reno"	0.0879466
Prince	0.0876301
Chretien	0.0875197
"chief of staff"	0.0874547
Jiang	0.087341
"Phan Van Khai"	0.0872474
vice-president	0.0871071
"Deve Gowda"	0.0870411
trustee	0.0867519
"Milos Zeman"	0.0864473
Rafsanjani	0.0863547
"George Pataki"	0.0861674
el-Ganzouri	0.0858881
"H.D Deve Gowda"	0.0858137
dean	0.0857782
Tung	0.0855215
Congressman	0.0855195
"Wim Kok"	0.085435
Museveni	0.0851881
"Pandeli Majko"	0.0851143
Aziz	0.085097
Gingrich	0.085054
Chiluba	0.0847429
"President Kim Young-sam"	0.0846524
Khamenei	0.0843764
pope	0.0843324
Milosevic	0.0842367
Demirel	0.0840886
Rugova	0.0840097
Assad	0.0835402
Ahern	0.0835367
Holbrooke	0.0832097
Simitis	0.0830775
Ramos	0.0830155
"Chief Executive Tung Chee-hwa"	0.0826695
Bush	0.0826528
Kiriyenko	0.082422
Kharrazi	0.0822845
Fujimori	0.0822089
"business leader"	0.0820635
Lott	0.0820278
"Robert Rubin"	0.0819634
"first lady"	0.0816838
Solana	0.081591
Kinkel	0.0814016
congressmen	0.0814011
cabinet	0.0814
Rua	0.0813733
Kim	0.0813128
"Christian Democrats"	0.0813016
Fischer	0.0812481
Hastert	0.0810745
Yilmaz	0.081068
"Sergei Stepashin"	0.0808625
Hasina	0.0807109
))
(Chancellor-elect (desc 1064.77) (sims
"Deutsche Bank AG"	0.12545
"Klaus Kinkel"	0.121857
"King Abdullah Bin Hussein"	0.113121
Gujral	0.108953
"Axel Schulz"	0.106921
Lipponen	0.106909
"Martin Schmitt"	0.106349
"De Soto"	0.10395
Luong	0.103869
"Volkswagen AG"	0.102304
"Mannesmann AG"	0.101539
"Siemens AG"	0.101188
Phieu	0.0975941
Komura	0.0970544
Zemin	0.0961298
Stoyanov	0.0952611
"I.K Gujral"	0.0930521
Ikeda	0.0920732
"Gunda Niemann-Stirnemann"	0.091499
"Heike Drechsler"	0.0910167
Narayanan	0.0907874
Bundesbank	0.0905744
Vasile	0.0894674
Kabariti	0.0889398
DAX	0.0887965
Jayakumar	0.0869806
"Prime Minister Banharn Silpa-Archa"	0.0865947
"Wlodzimierz Cimoszewicz"	0.0865216
"Hilde Gerg"	0.0859738
Ben-Ami	0.0854108
"Vo Van Kiet"	0.085339
Wolfensohn	0.0850656
Aliyev	0.0850164
Rifkind	0.0849778
Muluzi	0.0849091
"Joschka Fischer"	0.0847401
Klima	0.0845946
Kwasniewski	0.0844331
"Maung Aye"	0.0840708
Guterres	0.0824374
Constantinescu	0.0824091
"Ralf Schumacher"	0.0822969
"Daimler-Benz AG"	0.0810113
"Abidine Ben Ali"	0.0809491
"Wim Kok"	0.0806659
"Free Democratic Party"	0.0805711
Juncker	0.0801483
Sahnoun	0.0799881
Bouteflika	0.0794949
Diouf	0.0794132
"Horst Koehler"	0.0791277
autobahn	0.0789637
"Pope John Paul"	0.0788407
minister-elect	0.0785002
Brahimi	0.0784073
Pustovoitenko	0.0782102
Deuba	0.0780002
Koirala	0.0778023
"de Charette"	0.0775588
Moratinos	0.07675
Alarcon	0.0766261
Kok	0.0766172
"Goran Persson"	0.0765658
Ahtisaari	0.0764203
Dehaene	0.07572
Insulza	0.0756458
Karimov	0.0753425
"Oliver Bierhoff"	0.0753099
Scalfaro	0.0749819
"King Abdullah II"	0.0744912
Niyazov	0.0740273
Katsav	0.0740046
"Gerhard Schroeder"	0.0739868
"Erik Zabel"	0.0739078
Velayati	0.073898
Kono	0.0737983
Muoi	0.073494
"Koo Chen-fu"	0.0732831
IGC	0.0730767
"Damascus Declaration"	0.0729339
Granic	0.0729024
Thyssen	0.0727946
Ahern	0.0723419
Vollebaek	0.0718933
Lufthansa	0.0714047
Ogata	0.0713246
"H.D Deve Gowda"	0.0712831
"Cambodian King Norodom Sihanouk"	0.0712456
al-Nahyan	0.071217
"Joint Liaison Group"	0.0711186
Mkapa	0.071032
"Bernhard Langer"	0.0708975
"King Sihanouk"	0.0708136
Scharping	0.0707353
Akayev	0.0706438
Klestil	0.0702866
Ruehe	0.0701377
Chissano	0.0700644
Khaddam	0.0697568
FOMC	0.0696322
"Inder Kumar Gujral"	0.0693541
al-Khatib	0.0691793
Barzani	0.0691309
Ganzouri	0.0690183
"Atal Bihari Vajpayee"	0.0689905
Gaddafi	0.068988
carmakers	0.0684768
Rodionov	0.0682666
al-Hariri	0.0681929
Shipley	0.0678921
Alatas	0.0676954
"Los Angeles City Council"	0.0675474
Zou	0.0675251
Kaiserslautern	0.0673709
Daimler-Benz	0.0673483
"Sandra Voelker"	0.0673389
Wahid	0.0672391
Kharrazi	0.0671432
"Martina Ertl"	0.0669126
zeppelin	0.0665376
"Katja Seizinger"	0.0665362
"Nicolas Kiefer"	0.0664302
Clerides	0.0662558
Axworthy	0.0661304
Cem	0.0660912
Koehler	0.0659316
"Israeli Cabinet"	0.0655753
"Edmund Ho Hau Wah"	0.0655543
"Yoshiro Mori"	0.0655232
Meles	0.0654314
al-Sahaf	0.0653453
Chavalit	0.0648687
Bundestag	0.064824
Nujoma	0.0647729
Abdel-Meguid	0.0647616
"Li Lanqing"	0.0645827
"Lokendra Bahadur Chand"	0.0645382
Qiao	0.0644094
Goh	0.06438
"Anke Huber"	0.0643716
Seleznyov	0.0643516
Koo	0.0643361
AG	0.0640231
Preval	0.0638574
Pangalos	0.063733
Asia-Europe	0.0636243
Sumaye	0.0635861
Azizah	0.0635771
Nasrallah	0.0629581
el-Ganzouri	0.0628688
"Claudia Pechstein"	0.062677
Hasina	0.0625966
"Tareq Aziz"	0.0624381
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0622617
Lahoud	0.0620644
"Helen Clark"	0.0620414
Gowda	0.0618987
Erwin	0.0618413
Kuchma	0.0610252
"Fernando Henrique Cardoso"	0.0609811
"Tommy Haas"	0.0609271
Ikimi	0.0607493
Nazarbayev	0.060712
Bhattarai	0.0606894
"Romano Prodi"	0.0606739
Pickering	0.0605902
Surin	0.0605476
Siazon	0.0604414
Demirel	0.0604375
Sampaio	0.0604094
"Mahmoud Zouebi"	0.0602501
LeBlanc	0.0601979
"Secretary General Esmat Abdel-Meguid"	0.0601658
Camdessus	0.0601219
Schuessel	0.0599818
Banharn	0.0599655
"Li Ruihuan"	0.0598542
Shareh	0.0598212
"Tung Chee Hwa"	0.0598119
Ciampi	0.0596932
Kinkel	0.0593464
Santer	0.0592129
"Labour Party"	0.05915
Abubakar	0.0590117
"Jordanian King Abdullah Bin Hussein"	0.0588413
"Pandeli Majko"	0.0587243
Zeman	0.0584853
Rupert	0.0583508
Tharp	0.0583229
"Andres Pastrana"	0.0582219
"Christian Democratic Union"	0.05809
Majali	0.0580219
"Federal Assembly"	0.0579809
Tung	0.0579649
Al-Faisal	0.0578959
Garang	0.0577231
Malan	0.0576798
"Abdulsalam Abubakar"	0.0576448
president-elect	0.0575595
KONI	0.0574773
))
(Chand (desc 2415.55) (sims
"Lokendra Bahadur Chand"	0.349476
Thapa	0.327186
Koirala	0.254481
Deuba	0.190253
"Helen Clark"	0.176292
"Sher Bahadur Deuba"	0.17461
"Chavalit Yongchaiyudh"	0.171513
Erbakan	0.157137
"William Hague"	0.156372
"Deve Gowda"	0.155673
Chuan	0.152695
Chavalit	0.15226
"Khaleda Zia"	0.147857
Vasile	0.14659
Gowda	0.144523
Ecevit	0.143137
"H.D Deve Gowda"	0.141507
"Mikulas Dzurinda"	0.141274
"Bashkim Fino"	0.140944
"Megawati Soekarnoputri"	0.140719
"Tansu Ciller"	0.140495
"George Speight"	0.137874
"Krishna Prasad Bhattarai"	0.13742
"Milos Zeman"	0.136195
Banharn	0.134251
Bhattarai	0.133989
"Begum Khaleda Zia"	0.131819
"Necmettin Erbakan"	0.131345
NC	0.130672
"Aryeh Deri"	0.130151
"Xanana Gusmao"	0.129289
"Fatos Nano"	0.126894
"Mesut Yilmaz"	0.124418
"Prime Minister Banharn Silpa-Archa"	0.123846
"Ayatollah Ali Khamenei"	0.123693
Gujral	0.123516
"Chuan Leekpai"	0.12347
Dehaene	0.122412
Rawabdeh	0.121174
"Joseph Bruno"	0.120326
"Bulent Ecevit"	0.120267
"Ariel Sharon"	0.119486
"Vladimir Meciar"	0.119484
"Atal Behari Vajpayee"	0.119029
CPN-UML	0.118454
"Fayez Tarawneh"	0.11819
"Joerg Haider"	0.118001
"Sonia Gandhi"	0.116603
"Silvio Berlusconi"	0.116257
"Vladimir Zhirinovsky"	0.116241
Wamba	0.116042
Orban	0.116032
"Viktor Orban"	0.115392
"Amien Rais"	0.115077
"Gulbuddin Hekmatyar"	0.114955
"Ayatollah Ruhollah Khomeini"	0.114443
Hasina	0.114165
"Vuk Draskovic"	0.114057
"Pandeli Majko"	0.114031
"Aung San Suu Kyi"	0.113799
Lipponen	0.113506
Simitis	0.112949
"Gennady Zyuganov"	0.112191
"Martin Lee"	0.111859
RPP	0.111746
Yadav	0.111635
"De Klerk"	0.110548
Yilmaz	0.109831
"Jenny Shipley"	0.109735
"Alexander Shokhin"	0.109696
"Nur Misuari"	0.109391
"Kim Jong-pil"	0.109042
"Binyamin Netanyahu"	0.108924
"Ali Mahdi Mohamed"	0.108636
"Girija Prasad Koirala"	0.108497
"Foday Sankoh"	0.108387
Izetbegovic	0.107233
"Wlodzimierz Cimoszewicz"	0.106975
"Yossi Sarid"	0.106316
"Sam Rainsy"	0.106293
"Atal Bihari Vajpayee"	0.106151
Vajpayee	0.105934
"Johnny Paul Koroma"	0.10513
Ghalib	0.104802
Bondevik	0.104687
Rodionov	0.10465
Clerides	0.104466
"Jonas Savimbi"	0.104128
"Moammar Gadhafi"	0.103801
Buzek	0.103721
"Roosevelt Johnson"	0.103507
"Natan Sharansky"	0.10329
Sahnoun	0.102797
"Zoran Djindjic"	0.102568
"Rashid Dostum"	0.102295
"John Howard"	0.101932
Djukanovic	0.101205
Rao	0.10082
Majali	0.100572
"Momir Bulatovic"	0.100542
"Hashim Thaci"	0.100256
Aznar	0.100138
Klaus	0.100095
"Norodom Ranariddh"	0.100023
Hashimoto	0.0999278
"Inder Kumar Gujral"	0.0997343
Mokhehle	0.0995863
Hariri	0.0993828
"Nepali Congress"	0.0991183
"Pascoal Mocumbi"	0.0990216
"Ieng Sary"	0.0989511
Zeman	0.0988638
Djindjic	0.098675
"Ian Paisley"	0.0985472
Ahern	0.0985017
Meles	0.0984356
"Wolfgang Schaeuble"	0.0983526
Aliev	0.0982936
"Ivan Kostov"	0.0982743
"Aslan Maskhadov"	0.0981651
"Benazir Bhutto"	0.0981193
"Bill Skate"	0.0979857
"Vojislav Kostunica"	0.0978941
Dodik	0.0978778
Kaunda	0.0978727
"Than Shwe"	0.0977164
"Ibrahim Rugova"	0.0976087
"David Trimble"	0.0974072
"David Duke"	0.0970862
"Bizima Karaha"	0.0965798
"Paul Keating"	0.096509
"Ansumane Mane"	0.0963353
"Keizo Obuchi"	0.0959828
Kabariti	0.0958933
Buthelezi	0.0958519
"Jose Maria Aznar"	0.0957856
Kumaratunga	0.095749
"Sheikh Hasina"	0.0955545
"Tim Fischer"	0.0953719
"Tomiichi Murayama"	0.0953046
"Hun Sen"	0.0952439
"Kim Yong Nam"	0.0947656
"Jerzy Buzek"	0.094594
Garang	0.0944762
Rais	0.0944202
"Richie Phillips"	0.0943328
"Richard Gephardt"	0.0941163
"P.V Narasimha Rao"	0.094111
Megret	0.0940678
Bhutto	0.0940056
"Rafik Hariri"	0.0936878
"Gerry Adams"	0.0930561
"Salim Hoss"	0.0928972
Tsvangirai	0.0928182
"Vaclav Klaus"	0.0926338
"Sergei Kiriyenko"	0.0924314
"Pervez Musharraf"	0.092337
Chiluba	0.0920888
"Antonio Guterres"	0.0920259
"Dick Armey"	0.0919099
Shipley	0.0919026
"Howard Baker"	0.0917545
"Seamus Mallon"	0.0916523
Khamenei	0.0915781
"Martin McGuinness"	0.0912953
Bouchard	0.0911575
"Faisal Husseini"	0.0907658
Megawati	0.0907466
Nano	0.0905646
Ganzouri	0.0901546
Dae-jung	0.0900665
"Megawati Sukarnoputri"	0.090022
Trimble	0.0896612
"Ung Huot"	0.0896456
CPN-ML	0.0895802
"John Bruton"	0.0895791
Amato	0.0894974
"Yoshiro Mori"	0.0893735
Shevardnadze	0.0891081
Misuari	0.0890687
Bulatovic	0.0888701
Bedie	0.0888137
Ranariddh	0.0888094
"Pakalitha Mosisili"	0.0886992
"Shamil Basayev"	0.0886688
Kulikov	0.0886652
"Andreas Papandreou"	0.0886378
"Vojislav Seselj"	0.0886293
D'Alema	0.0885656
"Laurent Kabila"	0.0882525
Hoss	0.0881104
"Ryutaro Hashimoto"	0.0879271
"Yukio Hatoyama"	0.0878064
"Kiichi Miyazawa"	0.0877243
"Kim Jong Il"	0.0874585
Schuessel	0.0873265
"Atef Obeid"	0.0873046
Rabbani	0.0871226
Kok	0.0870446
Prodi	0.0869369
))
("Chanda Rubin" (desc 4928.48) (sims
"Mary Joe Fernandez"	0.39995
"Amy Frazier"	0.364565
"Lisa Raymond"	0.361835
"Kimberly Po"	0.354351
"Vincent Spadea"	0.330181
"Dominique Van Roost"	0.329816
"Corina Morariu"	0.328543
"Julie Halard-Decugis"	0.328346
"Anke Huber"	0.327128
"Natasha Zvereva"	0.322858
"Amanda Coetzer"	0.320762
"Alberto Berasategui"	0.320751
"Conchita Martinez"	0.319884
"Nathalie Tauziat"	0.319696
"Elena Likhovtseva"	0.31949
"Arantxa Sanchez Vicario"	0.316318
"Iva Majoli"	0.314775
"Jonathan Stark"	0.314028
"Tara Snyder"	0.312631
"Richard Fromberg"	0.312267
"Mary Pierce"	0.311806
"Francisco Clavet"	0.311658
"Monica Seles"	0.310983
"Richey Reneberg"	0.306575
"Irina Spirlea"	0.304576
"Ruxandra Dragomir"	0.303008
"Jeff Tarango"	0.301714
"Sandrine Testud"	0.3016
"Steve Campbell"	0.300852
"Mariano Puerta"	0.298409
"Arantxa Sanchez-Vicario"	0.297932
"Nathalie Dechy"	0.297789
"Magdalena Maleeva"	0.294895
"Ai Sugiyama"	0.293425
"Jan-Michael Gambill"	0.292908
"Patty Schnyder"	0.292503
"Kenneth Carlsen"	0.288499
"Sarah Pitkowski"	0.288347
"Albert Portas"	0.288082
"Scott Draper"	0.287425
"Andrei Medvedev"	0.286728
"Jennifer Capriati"	0.286501
"Joannette Kruger"	0.285565
"Amelie Mauresmo"	0.284665
"Younes El Aynaoui"	0.282448
"MaliVai Washington"	0.281879
"Magui Serna"	0.281561
"Todd Martin"	0.28097
"Wayne Ferreira"	0.27911
"Sabine Appelmans"	0.277823
"Felix Mantilla"	0.277289
"Tamarine Tanasugarn"	0.276539
"Marc Rosset"	0.274096
"Serena Williams"	0.273916
"Anne-Gaelle Sidot"	0.27196
"Leander Paes"	0.270125
"Judith Wiesner"	0.269231
"Lindsay Davenport"	0.268827
"Alex O'Brien"	0.268608
"Franco Squillari"	0.26836
"Justin Gimelstob"	0.267535
"Silvia Farina"	0.26586
"Barbara Paulus"	0.264818
"Arnaud Clement"	0.264411
"Lori McNeil"	0.263478
"Sergi Bruguera"	0.263421
"Jason Stoltenberg"	0.263201
"Venus Williams"	0.263188
"Fernando Meligeni"	0.2626
"Nicole Pratt"	0.261502
"Nicolas Kiefer"	0.26081
"Sebastien Grosjean"	0.260633
"Tommy Haas"	0.26028
"Fabrice Santoro"	0.260209
"Magnus Gustafsson"	0.259076
"Jana Novotna"	0.258972
"Paul Haarhuis"	0.258565
"Davide Sanguinetti"	0.258126
"Elena Dementieva"	0.258123
"Nicolas Escude"	0.257664
"Vince Spadea"	0.257392
"Michael Chang"	0.253628
"Anne Kremer"	0.253012
"Albert Costa"	0.252716
"Chris Woodruff"	0.250955
"Guillaume Raoux"	0.249697
"Jerome Golmard"	0.249498
"Galo Blanco"	0.248714
"Arnaud Di Pasquale"	0.248173
"Alexandra Stevenson"	0.246549
"Mirjana Lucic"	0.246185
"Magnus Norman"	0.245579
"Ramon Delgado"	0.245553
"Anna Kournikova"	0.245019
"Kimiko Date"	0.242206
"Brenda Schultz-McCarthy"	0.242002
"Andrea Gaudenzi"	0.241784
"Miriam Oremans"	0.241638
"Jonas Bjorkman"	0.241191
"Jim Courier"	0.240883
"Adrian Voinea"	0.240792
"Cara Black"	0.240672
"Javier Sanchez"	0.24058
"Marcelo Filippini"	0.240502
"Hernan Gumy"	0.23909
"Juan Antonio Marin"	0.238821
"Mariano Zabaleta"	0.238555
"Byron Black"	0.23842
"Yayuk Basuki"	0.238326
"Barbara Schett"	0.237736
"American Chanda Rubin"	0.237463
"Olga Barabanschikova"	0.237087
"Florencia Labat"	0.23699
"Brett Steven"	0.236282
"Tatiana Panova"	0.235805
"Julian Alonso"	0.235283
"Sargis Sargsian"	0.235274
"Thomas Johansson"	0.234191
"Naoko Sawamatsu"	0.232086
"Carlos Costa"	0.230317
"Todd Woodbridge"	0.230131
"Sjeng Schalken"	0.229948
"Andreas Vinciguerra"	0.229068
"Thomas Enqvist"	0.22774
"Filip Dewulf"	0.227067
"American Lindsay Davenport"	0.226691
"Karim Alami"	0.226689
"Alex Corretja"	0.22527
"Rainer Schuttler"	0.224842
"Rita Grande"	0.224081
"David Prinosil"	0.223739
"Mark Philippoussis"	0.223674
"Mikael Tillstrom"	0.223574
"Kim Clijsters"	0.223475
"Daniel Nestor"	0.222996
"Alberto Costa"	0.220484
"Paul Goldstein"	0.219515
"Magnus Larsson"	0.219031
"Karol Kucera"	0.217277
"Christian Ruud"	0.217095
"Roger Federer"	0.216993
"Gianluca Pozzi"	0.216123
"Andrew Ilie"	0.216092
"Marat Safin"	0.216009
"Nicolas Lapentti"	0.215872
"Carlos Moya"	0.215216
"Dominik Hrbaty"	0.214991
"Thomas Muster"	0.214478
"Wayne Black"	0.21428
"Paola Suarez"	0.213914
"Hicham Arazi"	0.213688
"Patrick Rafter"	0.213652
"Arnaud Boetsch"	0.212823
"Andrei Pavel"	0.212199
"Mark Knowles"	0.211843
"Cedric Pioline"	0.210556
"Asa Carlsson"	0.209711
"Richard Krajicek"	0.209613
"Tim Henman"	0.209504
"Alexandra Fusai"	0.208297
"American Todd Martin"	0.207502
"Jelena Dokic"	0.207316
"Michael Tebbutt"	0.206316
"Renzo Furlan"	0.20625
"Goran Ivanisevic"	0.205984
"Mark Woodforde"	0.205758
"Grant Stafford"	0.205115
"Gustavo Kuerten"	0.20243
Siemerink	0.202374
"Li Fang"	0.202166
Swardt	0.201793
"Marcelo Rios"	0.201611
"Catalina Cristea"	0.20077
"Marcos Ondruska"	0.200362
"Greg Rusedski"	0.199758
"Sebastien Lareau"	0.197635
"Yevgeny Kafelnikov"	0.197278
"Neville Godwin"	0.195366
"Juan Carlos Ferrero"	0.194586
"Martina Hingis"	0.194063
"Andre Agassi"	0.193575
"Steffi Graf"	0.193539
"Slava Dosedel"	0.192973
Kroslak	0.19066
"Russian Yevgeny Kafelnikov"	0.187567
"Petr Korda"	0.186223
"Lleyton Hewitt"	0.186077
"South African Amanda Coetzer"	0.18282
"Pat Rafter"	0.18244
"Barbara Rittner"	0.180457
"Karina Habsudova"	0.179083
"Xavier Malisse"	0.177612
"Els Callens"	0.176978
"John Van Lottum"	0.176249
"Kristie Boogert"	0.176063
"Australian Mark Philippoussis"	0.17487
"Henrieta Nagyova"	0.173982
"Barbara Schwartz"	0.172175
"Guy Forget"	0.171378
"Helena Sukova"	0.169665
Berasategui	0.168527
"Nicklas Kulti"	0.168195
"Martin Damm"	0.166728
"Michael Stich"	0.164853
"Kveta Hrdlickova"	0.164655
Mantilla	0.16458
"Boris Becker"	0.164296
"American Michael Chang"	0.164167
"Daniel Vacek"	0.164138
"Mahesh Bhupathi"	0.163188
"Rodney Eyles"	0.162012
"Bohdan Ulihrach"	0.161487
Corretja	0.159678
"Janet Lee"	0.158789
"Jimmy Connors"	0.158422
Seles	0.158016
"Jiri Novak"	0.157821
Likhovtseva	0.157757
Sanchez-Vicario	0.156531
"Heryanto Arbi"	0.156457
Halard-Decugis	0.156067
"Stefan Edberg"	0.152764
"Wayne Arthurs"	0.151639
Majoli	0.150339
"Wang Liqin"	0.150255
"Max Mirnyi"	0.149314
"Gong Zhichao"	0.14931
"Pete Sampras"	0.149227
Sugiyama	0.147808
"Peter Rasmussen"	0.145666
"Fung Permadi"	0.143528
Testud	0.142982
Coetzer	0.142279
Dosedel	0.142204
"Peter Gade Christensen"	0.141649
"Peter Nicol"	0.140488
Enqvist	0.139868
Mauresmo	0.139588
Dragomir	0.13944
"Xia Xuanze"	0.139295
Zvereva	0.13897
Ulihrach	0.13881
Nacional	0.137884
Kafelnikov	0.137598
Stoltenberg	0.137319
Kuerten	0.137202
Bjorkman	0.136893
"Olivier Delaitre"	0.13614
"Dai Yun"	0.136122
Novotna	0.135987
"Dennis van Scheppingen"	0.135703
Kucera	0.135273
Hingis	0.135253
"Andres Gomez"	0.132814
Tarango	0.132135
Henman	0.132135
"American Pete Sampras"	0.131728
"American Andre Agassi"	0.131066
Rusedski	0.130968
"Jacco Eltingh"	0.13049
"Ye Zhaoying"	0.130224
"Vladimir Samsonov"	0.129841
Schalken	0.128995
"Gong Ruina"	0.128795
"Rika Hiraki"	0.128703
Kournikova	0.127648
Pioline	0.127173
Rosset	0.126809
"Wang Chen"	0.12656
Kiefer	0.1265
Krajicek	0.126239
Po	0.125564
"Kong Linghui"	0.124916
Moya	0.1248
"Sanchez Vicario"	0.124728
"Diego Nargiso"	0.124342
Capriati	0.122989
"Chinese Taipei"	0.121875
"Joko Suprianto"	0.121798
"Ong Ewe Hock"	0.121637
"Ji Xinpeng"	0.121221
Tauziat	0.120786
"Sandon Stolle"	0.120355
"Li Ju"	0.119786
Schett	0.119182
"River Plate"	0.11915
"Jansher Khan"	0.119105
"Mats Wilander"	0.118984
Hendrawan	0.118913
"Mia Audina"	0.118123
Zamalek	0.11762
"Adriana Gersi"	0.117528
"Camilla Martin"	0.115598
"Larisa Neiland"	0.115162
Ivanisevic	0.114861
Edberg	0.114187
Clavet	0.113745
Gremio	0.113213
Davenport	0.112483
"Van Roost"	0.111624
"Bjorn Borg"	0.110889
"Budi Santoso"	0.110796
"Partizan Belgrade"	0.110731
"Phenix City"	0.110382
"DON JOHNSON"	0.110353
"Briton Greg Rusedski"	0.109844
Agassi	0.10976
Damm	0.109517
Huber	0.109249
Sidot	0.109002
Gustafsson	0.108958
Frenchwoman	0.108707
Philippoussis	0.108502
Independiente	0.108426
Susanti	0.108414
"Colo Colo"	0.108117
Spadea	0.108035
Prinosil	0.107347
Ferreira	0.107333
Safin	0.107189
rios	0.106961
Schnyder	0.105798
"Dalian Wanda"	0.105257
"Taufik Hidayat"	0.105151
Cruzeiro	0.105094
"Velez Sarsfield"	0.103303
Palmeiras	0.103284
"Liu Guoliang"	0.103215
"Denisa Chladkova"	0.102731
"Slovak Republic"	0.102151
"Zhang Ning"	0.102028
Meligeni	0.102024
Haarhuis	0.101823
"Ma Lin"	0.10123
"Olympique Marseille"	0.100948
"Wang Shi-Ting"	0.100878
"Weber State"	0.100289
Larsson	0.10019
))
(chandelier (desc 14417.1) (sims
lamp	0.140201
fireplace	0.129122
furniture	0.115218
tile	0.113306
sconce	0.110893
rug	0.109083
paneling	0.107664
skylight	0.104542
wallpaper	0.104228
vase	0.0990363
candelabra	0.0990067
ceiling	0.0976281
ornament	0.0954068
staircase	0.0941483
lantern	0.0941241
sculpture	0.0941151
wainscoting	0.0919238
carpeting	0.0916422
mural	0.0905201
balustrade	0.0886522
urn	0.0876379
upholstery	0.0874668
carpet	0.0867122
armoire	0.0859913
molding	0.0853978
mosaic	0.0851636
furnishings	0.084836
tapestry	0.0845313
doorknob	0.0845131
"stained-glass window"	0.0845057
vas	0.0840987
headboard	0.0840004
curtain	0.0835134
sofa	0.0833492
woodwork	0.0830888
"lighting fixture"	0.0830554
mirror	0.0817609
statue	0.0817425
fountain	0.0813552
decanter	0.0811541
carving	0.0810896
facade	0.0801425
antique	0.0801333
decoration	0.0796017
wall	0.0794094
armchair	0.0788181
lamppost	0.0786695
statuary	0.0786153
"picture window"	0.078275
drapery	0.0781868
fixture	0.0780228
glassware	0.077796
balcony	0.0776498
metalwork	0.0761612
arch	0.0752212
candle	0.0752004
porcelain	0.0748887
"oil painting"	0.0747241
jewelry	0.0735436
faucet	0.0734537
icicle	0.0733939
ceramic	0.073129
Pottery	0.0731239
chair	0.072131
tableware	0.0720101
"stained glass"	0.0717137
decor	0.0717042
beam	0.0705091
embroidery	0.0693311
"bathroom fixture"	0.0691531
"evening bag"	0.0684485
glass	0.0684143
paperweight	0.0683013
"window frame"	0.0680866
window	0.0680854
bedspread	0.0675565
"wall hanging"	0.0673451
painting	0.0671817
baseboard	0.0671495
"side chair"	0.0666878
archway	0.0661256
tablecloth	0.0653577
figurine	0.0648601
"coffee table"	0.064738
"piece of furniture"	0.0645459
marble	0.0645388
fresco	0.0644188
mantel	0.0640913
crucifix	0.0632759
pane	0.0617912
flooring	0.0617639
stove	0.0617562
artwork	0.0617031
Sphinx	0.0615631
"French door"	0.060977
"picture frame"	0.0606488
fabric	0.0606453
countertops	0.060264
fitting	0.0602502
pot	0.0600549
"light bulb"	0.0598826
settee	0.0597949
mantelpiece	0.0595515
quilt	0.0594334
bead	0.0593455
streamer	0.0590422
Palazzo	0.0587026
bookcase	0.0585867
pendant	0.0585689
ironwork	0.0585381
"stone wall"	0.0578259
atrium	0.0577962
lampshade	0.0577057
banquette	0.0575704
Dome	0.0571958
bed	0.0571636
kitchenware	0.0570849
waterfall	0.0570394
"tile roof"	0.0564002
brooch	0.0562846
exterior	0.0562551
roof	0.0562065
clocks	0.0559167
couch	0.0557099
earring	0.0553496
chalice	0.0553144
teapot	0.0552911
necklace	0.0552166
crystal	0.0551451
Tower	0.0549608
"pipe organ"	0.0547577
cornice	0.0547559
brick	0.0546398
Lighting	0.0545972
flower	0.0545718
pedestal	0.0543206
candlestick	0.0541496
awning	0.0541112
ballroom	0.0540789
"wall painting"	0.0540074
edifice	0.0536811
plaque	0.0536247
calligraphy	0.0534098
cupola	0.0533578
beads	0.053333
bunting	0.0531733
"tea set"	0.0530803
accessory	0.052843
watercolor	0.0527911
Obelisk	0.0526604
bracelet	0.0524869
balloon	0.0524418
gazebo	0.0523815
silverware	0.0521946
girder	0.051801
minaret	0.051723
linen	0.0516786
portrait	0.0516652
noose	0.0516326
interior	0.0515569
"engagement ring"	0.0514994
textile	0.0513598
linoleum	0.0511496
"grand piano"	0.0508859
flatware	0.0504368
altar	0.0503197
sideboard	0.0502967
spire	0.0502883
handicraft	0.0501626
wreath	0.0500198
truss	0.0499908
bathtub	0.049654
"lounge chair"	0.0493435
"kitchen appliance"	0.0487708
Goblet	0.0486054
drawing	0.0485085
Stairway	0.0485002
tub	0.0483823
tiara	0.0483709
costume	0.0482695
"dining table"	0.048253
siding	0.0482407
artifact	0.0479068
cherub	0.0478379
kettle	0.0477305
utensil	0.047575
poster	0.0475543
"bell tower"	0.047345
pillar	0.0472501
chimney	0.0472186
sunroof	0.0471783
bulb	0.0470881
steeple	0.0470771
replica	0.047061
architecture	0.0470288
mattress	0.0470193
chrome	0.0465086
bedding	0.0464206
mahogany	0.0464027
shutter	0.0463838
))
(Chandler (desc 19946.7) (sims
"Chris Chandler"	0.146534
Aikman	0.132458
Weinke	0.129968
Brunell	0.129468
Bledsoe	0.126136
Testaverde	0.119822
Applewhite	0.118262
Elway	0.116726
McCown	0.116661
Huard	0.110342
Marino	0.109783
Kitna	0.108268
Plummer	0.108101
Griese	0.105704
DeBerg	0.10549
"Vinny Testaverde"	0.102771
Cunningham	0.100897
Brees	0.100762
Favre	0.100702
McNown	0.0998279
Mesa	0.0965905
Brady	0.0964628
Manning	0.0963024
Kanell	0.09554
Flutie	0.094744
Hasselbeck	0.0945359
"Van Raaphorst"	0.0926789
"Mark Brunell"	0.0920717
"Troy Aikman"	0.0914384
Kealy	0.0905026
Mirer	0.0893768
Scottsdale	0.088357
Brister	0.0883469
Tempe	0.0879226
"Dan Marino"	0.0879169
"Drew Bledsoe"	0.0878899
Garrett	0.0874298
Dilfer	0.0873829
Foley	0.0870593
Grbac	0.0870399
"Jake Plummer"	0.0870137
Tuggle	0.0860619
Graziani	0.0853084
Pederson	0.0839204
"Steve DeBerg"	0.0836494
Paus	0.0830607
Vick	0.0826398
"Chris Weinke"	0.0825804
Harbaugh	0.0825166
Glendale	0.0813652
Zolak	0.0810325
Palmer	0.0809194
"Steve Young"	0.0807883
McNair	0.0799454
"Tee Martin"	0.0796949
"Cade McNown"	0.0794891
"Steve McNair"	0.0783979
Graham	0.0782835
Gilbert	0.0780794
Anderson	0.0774375
collins	0.0773055
McNabb	0.0772674
"Peyton Manning"	0.0770696
Peoria	0.0764873
"Trent Green"	0.0762625
smith	0.0759859
Marinovich	0.0757412
Sharpe	0.0751432
Hamilton	0.0747464
Lucas	0.0746838
Warner	0.0746501
Stewart	0.074604
"John Elway"	0.0744858
"Kent Graham"	0.0742901
Ripken	0.0742421
Carter	0.0736192
Sanders	0.0735322
crouch	0.0735281
martin	0.073483
Mathis	0.0734287
Druckenmiller	0.0729712
"Glenn Foley"	0.072701
"Jeff George"	0.0724543
Johnson	0.0724308
Berenson	0.072345
Bryant	0.0718024
"Dave Brown"	0.0715659
Soward	0.0714819
"Kurt Warner"	0.0713232
"Jon Kitna"	0.0709672
Outzen	0.0708367
Barkley	0.0707331
"Carson Palmer"	0.0706304
Blake	0.0702889
Flagstaff	0.070285
Faulk	0.0702694
Davis	0.0702336
Cleaves	0.0701338
Garcia	0.0701054
"Tony Banks"	0.0695383
"Bubby Brister"	0.0694802
"Brett Favre"	0.0694632
Richardson	0.0694484
Gannon	0.0692127
"Warren Moon"	0.0689351
"Eugene Robinson"	0.0683225
"Joe Hamilton"	0.0680847
Garciaparra	0.0679831
Taylor	0.0679306
"Brad Johnson"	0.0678408
Crawford	0.0672781
Olajuwon	0.0672386
Ewing	0.0670171
Tupa	0.0669963
Stockton	0.0668417
Lansing	0.0667514
walker	0.0662659
Perez	0.0661436
Wright	0.0661012
Gwynn	0.066081
Robinson	0.0660322
"Kerry Collins"	0.0659463
"Rob Johnson"	0.0652281
Jones	0.0651067
WARRICK	0.0647411
Lawrence	0.0645144
Williams	0.0641288
Hardaway	0.0639255
Lindros	0.0638702
Kidd	0.0634776
Bowden	0.0632134
Wilkins	0.062809
Jackson	0.0626733
O'Donnell	0.062662
Moore	0.0621404
Fiset	0.0619878
"Doug Flutie"	0.06176
Cassell	0.0617588
"Kordell Stewart"	0.0616211
McCann	0.0615209
"Jamal Anderson"	0.0613704
Gretzky	0.0613632
Storr	0.0613498
"Brian Griese"	0.0613463
Pippen	0.0612535
Wilson	0.061043
Clark	0.0609943
Bourque	0.0609836
murphy	0.0609044
douglas	0.0609027
duncan	0.0608178
Thomas	0.0607521
Jagr	0.0605682
Sehorn	0.0605528
Ramirez	0.0605481
"Boynton Beach"	0.0603136
Drew	0.0603094
"Randall Cunningham"	0.0601988
Phoenix	0.0601876
George	0.0601059
Davenport	0.0600879
Boller	0.0600339
"Akili Smith"	0.0598235
Miller	0.0597917
Fleury	0.0597744
Stafford	0.0597186
DiSarcina	0.059713
Lett	0.0597049
Kelly	0.0596655
Henderson	0.0596376
Sutton	0.0595766
Hamm	0.0595764
Swann	0.059568
Everett	0.0595224
Watson	0.0593879
"Doug Pederson"	0.0593262
Kramer	0.0592565
Webb	0.0591125
Gibson	0.0590139
Payton	0.0589654
Bennett	0.0589187
Romanowski	0.0585797
"Rich Gannon"	0.0585555
"Cornelius Bennett"	0.058523
Elliott	0.0583984
"Jessie Tuggle"	0.0582302
Watts	0.0582298
Holdsclaw	0.0581945
Modano	0.0579867
Detmer	0.0579458
Brosius	0.0579276
Rhodes	0.0578013
"Jeff Blake"	0.0577714
Harris	0.0577408
Glenn	0.057669
Abbott	0.0576352
Knoblauch	0.0575637
Hasek	0.0574192
Jenkins	0.0572942
Pierce	0.0572689
))
(Chandra (desc 3459.84) (sims
Hubble	0.193164
telescope	0.114879
observatory	0.103441
Zarya	0.102294
"Mars Global Surveyor"	0.0994237
"Lunar Prospector"	0.0992057
Zvezda	0.0959338
spacecraft	0.0922982
Compton	0.0922194
Cassini	0.0864245
SETI	0.0850499
"Polar Lander"	0.0845401
Galileo	0.0836415
X-@@	0.0796476
"meteorological satellite"	0.0780681
"deep space"	0.0737398
Stardust	0.0734053
"Delta @"	0.0707728
UNPREDEP	0.0696303
Lander	0.0691197
Webcam	0.0674114
Orbiter	0.0664969
Boomerang	0.0652956
GEMINI	0.063847
NASA	0.0627855
"space vehicle"	0.0618803
"spy satellite"	0.0604209
McCown	0.0601893
"gamma ray"	0.0597778
endeavour	0.0573334
Alves	0.0572775
"weather satellite"	0.0566169
"communications satellite"	0.0564589
PATHFINDER	0.0541025
BLUETOOTH	0.0538274
NMD	0.0534409
"space probe"	0.0527586
Jung	0.0520148
"Hubble Space Telescope"	0.0516251
"National Missile Defense"	0.0508049
"Mars Polar Lander"	0.0507712
module	0.0505555
THAAD	0.04934
Sputnik	0.0492112
"American plane"	0.0490434
"Census @@@@"	0.0490404
Glenn	0.0480135
Apache	0.0477607
"surface ship"	0.0472779
Griffith	0.0467694
fieldwork	0.0466697
BNFL	0.0464262
"Red Violin"	0.0457856
"Empire State"	0.0454824
interceptor	0.0453981
IAI	0.04502
Rollins	0.0445045
Scelzi	0.0439197
"Kenya Airways"	0.0431284
counterbid	0.043056
"John Glenn"	0.0430547
SAS	0.0428513
Zuma	0.0427874
Concordes	0.0425376
"trial balloon"	0.0423494
Mir	0.0419785
"beam of light"	0.0418804
Dougherty	0.0415785
"police dog"	0.041352
prong	0.0413069
Klemperer	0.0412891
reverser	0.0412858
onboard	0.0411606
"Ethiopian Airlines"	0.0411382
"software package"	0.041111
OPIC	0.0408782
RSA	0.0406742
JAT	0.0404725
Neel	0.0404094
Iglesias	0.0404062
asteroid	0.0403458
"bond offering"	0.0403339
Apaches	0.0401134
Hofer	0.0400456
))
(Chanel (desc 7768.24) (sims
Ferragamo	0.22502
"Louis Vuitton"	0.212725
Versace	0.20669
Gucci	0.205699
Armani	0.20136
Fendi	0.198296
Givenchy	0.191177
"Yves Saint Laurent"	0.188515
HERMES	0.186921
"Dolce &AMP; Gabbana"	0.174823
Cartier	0.173817
"Calvin Klein"	0.160672
Valentino	0.158495
Prada	0.155397
DKNY	0.149934
"Jil Sander"	0.145224
"Christian Dior"	0.141204
Dior	0.138283
"Giorgio Armani"	0.137845
"Saint Laurent"	0.133581
Celine	0.13251
"high fashion"	0.114583
"Donna Karan"	0.112909
Burberry	0.108684
"Ralph Lauren"	0.107064
"Tommy Hilfiger"	0.106161
"Bill Blass"	0.103743
COUTURE	0.102026
Renta	0.10189
Gaultier	0.100451
"haute couture"	0.0980394
LVMH	0.0973384
"Marc Jacobs"	0.0929243
Barneys	0.0923166
Chloe	0.091394
"Helmut Lang"	0.087822
"Estee Lauder"	0.0858018
snakeskin	0.0834163
L'Oreal	0.0819141
adidas	0.0775752
suede	0.0760599
HILFIGER	0.0759586
"Gianni Versace"	0.0755113
Lancome	0.0734331
"Karl Lagerfeld"	0.0732679
plaid	0.0730682
"Saks Fifth Avenue"	0.0727726
Halston	0.0717155
Tiffany	0.0714724
"Alexander McQueen"	0.0706734
slinky	0.0705352
"navy blue"	0.0703375
Karan	0.0686941
Reebok	0.0673289
NIKE	0.0672868
"Michael Kors"	0.0660481
Clinique	0.0659979
"Hello Kitty"	0.0623201
Levi's	0.0617662
"Neiman Marcus"	0.0613344
lingerie	0.0607993
"Brooks Brothers"	0.0606345
"dark blue"	0.0601567
Galliano	0.0597679
tweed	0.0595519
Fubu	0.0595258
mohair	0.0591721
"John Bartlett"	0.0587557
"Donatella Versace"	0.0579266
denim	0.0566369
gingham	0.0562382
"New Balance"	0.0555744
"polka dot"	0.0542528
flapper	0.0534905
Rolex	0.0531774
"Bergdorf Goodman"	0.0527632
cowgirl	0.052647
"L.L Bean"	0.0524638
"Banana Republic"	0.052441
nylon	0.0517354
"Isaac Mizrahi"	0.0516658
QVC	0.050745
Lexus	0.0505664
"powder blue"	0.0505299
silk	0.0505019
"limited edition"	0.0497475
clingy	0.0484964
"John Galliano"	0.0481778
organza	0.0480518
BLUETOOTH	0.047665
fishnet	0.0473803
vintage	0.0473665
Kmart	0.0472974
REVLON	0.0469185
black-and-white	0.046787
leather	0.046375
"royal blue"	0.0462541
tuxedo	0.0457232
taffeta	0.0454624
CMA	0.0454375
wraparound	0.0450432
Lycra	0.0444672
Speedo	0.0441843
Blass	0.0438768
TSE	0.0436247
spiffy	0.0427092
python	0.042667
"Chase Manhattan Bank"	0.0425215
cashmere	0.0424474
Miyake	0.0421625
Energizer	0.0417153
fur	0.0414855
retro	0.0414036
tartan	0.0413893
Renault	0.0413495
kimono	0.0410368
Eames	0.0410319
IMG	0.0409974
Polo	0.0408975
stiletto	0.040859
polyester	0.0406369
"Betsey Johnson"	0.0405139
"BellSouth Corp."	0.0403591
))
(Chaney (desc 2502.21) (sims
Skiles	0.104789
Dunleavy	0.102154
Layden	0.101759
Eizenstat	0.100958
Spurrier	0.0942097
Talebi	0.0924113
Laudrup	0.0921071
Fulmer	0.0910023
Neilson	0.0892307
Sherrill	0.0887122
Schmid	0.0883347
Milutinovic	0.0881738
Calhoun	0.0873768
Wilkens	0.0864098
Strahan	0.0862361
Guthridge	0.0857454
Hauser	0.085623
LaPierre	0.0852566
Fassel	0.0852033
DiCicco	0.0849548
Moonves	0.0844027
Wenger	0.0837959
Summitt	0.0837701
Zagallo	0.0836308
Popovich	0.0835064
Abdul-Jabbar	0.082831
Izzo	0.0826283
Zenga	0.0822122
Goossen	0.0818455
Neff	0.0809514
ISSEL	0.0800422
Martz	0.0798992
Monson	0.0798283
Crenshaw	0.0797971
Molinari	0.0795833
Zambrano	0.0795183
Krzyzewski	0.0789845
Donnan	0.0787478
Ruehe	0.0786059
hodgson	0.0785545
Giambi	0.0784724
Fleischer	0.0784634
Fizer	0.078277
Westphal	0.0781789
Braswell	0.0779697
Helton	0.0777959
Heinrichs	0.0777266
Vogel	0.0776434
Rossotti	0.0775721
McKeon	0.0774875
DeBerg	0.0774871
Pederson	0.0764919
Poole	0.0755721
Harrick	0.0754985
Ceballos	0.0753318
Leyland	0.0753281
Canseco	0.0753186
Lehane	0.0749492
Iverson	0.074873
Hartman	0.074807
Solich	0.0747542
Jarvis	0.0743364
Kessler	0.0742543
Frye	0.0742407
Muckler	0.0741524
Zarb	0.0738512
Pitino	0.0738299
Cedeno	0.0738148
Scioscia	0.0732225
Karolyi	0.0731229
Wolfson	0.073057
Reiner	0.0729215
Babcock	0.0722919
Briscoe	0.0722246
Okada	0.0720904
Moog	0.0717452
Rongen	0.0713629
Finkel	0.0711943
Murrell	0.071171
Ecevit	0.0710835
Coughlin	0.0705152
Piniella	0.0704771
Atwood	0.0703756
Billick	0.070276
Venables	0.0701385
Sapp	0.0699374
Gullikson	0.0699204
McGinnis	0.0698835
Appleby	0.0696765
Naumann	0.0696744
Wannstedt	0.0696678
Goldin	0.0696217
Troussier	0.0695883
Vermeil	0.0695773
Rosenblatt	0.0695683
Slocum	0.0695223
beamer	0.069494
Shulman	0.0693685
Verney	0.0693342
Milbury	0.0690375
Calipari	0.0689217
Weinstein	0.0688813
Zhirinovsky	0.0687504
Oates	0.0687162
Cordero	0.0686357
Sharansky	0.0682838
Hodler	0.0682517
Bowman	0.0682336
Dierker	0.0682283
Jauron	0.0682234
Snyder	0.0681856
Freedman	0.0680526
Munoz	0.067818
Markovic	0.0675505
Woodson	0.0675431
Mariucci	0.0675277
Wasserman	0.0673988
Ainge	0.0673118
Cusack	0.0672553
Ponciano	0.0671744
Roberson	0.0670764
Castilla	0.0669195
Siazon	0.0668983
Mikhailov	0.0667359
Nakata	0.0666891
Azizah	0.0666324
Zimmer	0.0666309
Cabrera	0.0665665
Beckenbauer	0.0663753
Piot	0.0663306
Campo	0.0661742
Valentin	0.0661178
Camacho	0.0661007
Cassell	0.0660411
Rosenthal	0.0660011
Wong	0.0659618
Ratner	0.065929
Caldera	0.0659136
Bove	0.0658149
Tubbs	0.0656385
Storin	0.0656291
Cowan	0.0655861
Sheehan	0.0655066
Singson	0.0654637
Kerrigan	0.0654158
Hartley	0.0652127
Tomey	0.0651773
Ledee	0.0651511
Connolly	0.064815
Riley	0.0647642
Rolen	0.0647119
Tomjanovich	0.0646599
Isakson	0.0645987
Sobel	0.064513
Irvan	0.0644251
Montgomerie	0.064336
Stoneman	0.0643043
HELLER	0.0642036
Auriemma	0.0641961
Joyner-Kersee	0.0641731
Valenti	0.0641223
Lampkin	0.063651
Gwynn	0.0636204
Kaye	0.0635959
Bonner	0.063424
Blackman	0.0633918
Vogts	0.0633725
Hargrove	0.0633043
Diouf	0.0632618
Felton	0.0632538
Biggio	0.0631402
Contreras	0.0630269
Aliotti	0.0630142
Whitsitt	0.0629975
Keegan	0.0629212
Pennington	0.0628617
Ashrawi	0.0628605
Blatter	0.0628486
Najera	0.0627836
Rubinstein	0.0627255
GRUNFELD	0.0626598
Hatfield	0.0626275
DeFrantz	0.0625128
Solis	0.0625126
Drysdale	0.0623725
Schell	0.0622107
Yastrzhembsky	0.0621448
Swoopes	0.0620876
Cowens	0.0620401
McCurry	0.0620258
Satcher	0.0620237
Wasdin	0.0619982
Nickles	0.0619141
Weinberg	0.0618776
Remlinger	0.0618767
Ganassi	0.0618423
McEnroe	0.0616595
Hackett	0.0616055
Harmoko	0.061567
"Maturino Resendiz"	0.0614844
))
(Chang (desc 16631.4) (sims
Kafelnikov	0.171687
Moya	0.169261
rios	0.166228
Agassi	0.162928
"Marcelo Rios"	0.161
Seles	0.160207
Henman	0.159697
"Michael Chang"	0.152446
Pioline	0.15127
Corretja	0.149775
Ivanisevic	0.149361
Krajicek	0.148854
"Todd Martin"	0.147029
Novotna	0.146158
Bjorkman	0.145873
Stoltenberg	0.142365
Davenport	0.141291
Hingis	0.14045
Enqvist	0.138269
"Thomas Enqvist"	0.13819
"Patrick Rafter"	0.137364
Rafter	0.13676
Korda	0.136129
"Tim Henman"	0.136043
"Yevgeny Kafelnikov"	0.134749
Huber	0.134343
Muster	0.134317
Kuerten	0.133809
"Lindsay Davenport"	0.131796
Becker	0.131298
Sampras	0.130413
"Venus Williams"	0.130236
"Goran Ivanisevic"	0.130218
"Monica Seles"	0.129207
"Russian Yevgeny Kafelnikov"	0.129173
Rusedski	0.129154
"Andre Agassi"	0.128291
Majoli	0.128104
"Pete Sampras"	0.127716
Kucera	0.126982
"Gustavo Kuerten"	0.126881
"Carlos Moya"	0.126313
Sanchez-Vicario	0.126195
"Martina Hingis"	0.126153
"Arantxa Sanchez Vicario"	0.124155
Philippoussis	0.123722
"Steffi Graf"	0.12125
"Richard Krajicek"	0.120543
Tauziat	0.120145
"Alex Corretja"	0.120027
"Jana Novotna"	0.119756
"Sanchez Vicario"	0.119027
Testud	0.11722
"Jim Courier"	0.116492
"Mary Pierce"	0.11616
"American Michael Chang"	0.116143
"Thomas Muster"	0.115934
"Boris Becker"	0.115747
"Amanda Coetzer"	0.113292
Ferreira	0.113243
"Australian Mark Philippoussis"	0.112987
Ulihrach	0.112394
Coetzer	0.111988
Berasategui	0.111918
"Serena Williams"	0.111112
"Conchita Martinez"	0.110583
Bruguera	0.110519
"South African Amanda Coetzer"	0.110233
"Arantxa Sanchez-Vicario"	0.109843
"Mark Philippoussis"	0.109351
Gambill	0.109306
Kiefer	0.109221
Siemerink	0.108662
"Gong Zhichao"	0.107994
"Jonas Bjorkman"	0.107731
"Albert Costa"	0.107657
"Anke Huber"	0.107255
"American Chanda Rubin"	0.107213
"Alberto Berasategui"	0.107091
Pierce	0.104991
Kournikova	0.104947
"Cedric Pioline"	0.104905
"Byron Black"	0.104891
Waldner	0.10354
"Felix Mantilla"	0.103389
Capriati	0.102932
Wang	0.102805
"Nathalie Tauziat"	0.102642
Clavet	0.101471
"Thomas Johansson"	0.101404
"Alex O'Brien"	0.101296
"Marc Rosset"	0.101154
"Sandrine Testud"	0.101127
"Sergi Bruguera"	0.101028
"Petr Korda"	0.100896
Safin	0.100671
Spaniard	0.100555
Graf	0.100044
Mauresmo	0.0999735
"Greg Rusedski"	0.0996971
"Francisco Clavet"	0.098905
"Wayne Ferreira"	0.0984284
Gustafsson	0.0980954
"Iva Majoli"	0.0978156
"American Lindsay Davenport"	0.0972397
"Andrei Medvedev"	0.0971136
"Dominik Hrbaty"	0.0967087
"Dominique Van Roost"	0.0964709
"American Pete Sampras"	0.0962017
"Magnus Norman"	0.0961051
"Karol Kucera"	0.0958215
Sugiyama	0.0957448
Medvedev	0.0954155
"Tommy Haas"	0.0952988
"Brenda Schultz-McCarthy"	0.0936118
"Van Roost"	0.0932927
Hewitt	0.0931421
"Irina Spirlea"	0.0923974
"Magnus Gustafsson"	0.0918487
"Sargis Sargsian"	0.0912545
Mantilla	0.0904854
martin	0.0902001
Haas	0.0901747
Norman	0.0901163
Spadea	0.089121
Costa	0.0888981
Schnyder	0.0882631
"Ai Sugiyama"	0.0879451
"Jason Stoltenberg"	0.0877478
"Andrea Gaudenzi"	0.0873105
Schett	0.086674
"Patty Schnyder"	0.0863038
"Lisa Raymond"	0.0862731
Johansson	0.0860305
Gimelstob	0.0858352
Williams	0.0855102
Zvereva	0.0854496
"Naoko Sawamatsu"	0.0853193
"Nicolas Kiefer"	0.0852954
"MaliVai Washington"	0.084366
Serena	0.084111
Connors	0.0841064
"Barbara Paulus"	0.0838014
Swede	0.0836904
"Camilla Martin"	0.0835706
"Natasha Zvereva"	0.0830964
"Hicham Arazi"	0.0830331
courier	0.0826823
Rosset	0.0822055
Fu	0.0814134
"Galo Blanco"	0.0812763
"Richard Fromberg"	0.0812726
"Todd Woodbridge"	0.081269
Gaudenzi	0.0812636
"Chanda Rubin"	0.0811498
"Anna Kournikova"	0.0809679
McEnroe	0.0807446
wildcat	0.0807312
Fernandez	0.0804015
"Nathalie Dechy"	0.080343
"Tamarine Tanasugarn"	0.0796002
Cornhusker	0.0795756
"Jennifer Capriati"	0.079469
"Kenneth Carlsen"	0.0793351
Swardt	0.0791627
Dragomir	0.079101
Kim	0.0790435
"Julie Halard-Decugis"	0.0787537
"Dai Yun"	0.078727
Woodforde	0.0786948
"Mariano Puerta"	0.0785194
Liu	0.0784776
Nicol	0.0784224
Boilermakers	0.078365
Spirlea	0.0780861
"Nittany Lions"	0.077948
Karpov	0.0776332
Sautin	0.0773149
"Magdalena Maleeva"	0.0772965
"Carlos Costa"	0.0772384
"Fernando Meligeni"	0.0772284
Huang	0.0771162
Zhao	0.0768752
"Sabine Appelmans"	0.0767332
Hendrawan	0.0767218
Lapentti	0.0766887
"Peter Nicol"	0.0766499
Woodruff	0.0765189
Soliah	0.0759716
"John McEnroe"	0.0759694
"Anne-Gaelle Sidot"	0.0758434
Kasparov	0.0755025
"Arnaud Boetsch"	0.0754832
Schalken	0.0752985
Dosedel	0.0752914
"Barbara Schett"	0.0752096
"Jan-Ove Waldner"	0.0750919
"Elena Likhovtseva"	0.0749856
Raoux	0.0749721
"Paul Haarhuis"	0.074836
))
(CHANGCHUN (desc 11442.3) (sims
Shenyang	0.32591
CHENGDU	0.324677
Shijiazhuang	0.323413
Harbin	0.32149
Zhengzhou	0.320871
Hefei	0.320031
Jinan	0.316069
Wuhan	0.312914
Hangzhou	0.309492
Taiyuan	0.301895
Dalian	0.300424
Changsha	0.297644
Kunming	0.29678
Fuzhou	0.293083
Hohhot	0.291473
NANJING	0.277969
Lanzhou	0.270451
Guiyang	0.268525
Urumqi	0.265556
Guangzhou	0.265108
Tianjin	0.26252
Qingdao	0.260222
Nanchang	0.259828
Ningbo	0.254939
Xining	0.252873
Chongqing	0.251795
Suzhou	0.251323
Haikou	0.249055
Yinchuan	0.239337
Nanning	0.231666
Xiamen	0.229788
Guilin	0.221475
Shenzhen	0.21814
Yantai	0.214159
Zhuhai	0.199498
Qinhuangdao	0.19536
Wuxi	0.19118
Shanghai	0.181984
Anshan	0.179225
Shantou	0.175855
Nantong	0.17519
Lhasa	0.172213
Lianyungang	0.171226
"Liaoning Province"	0.158611
Wenzhou	0.157946
BEIJING	0.15724
HUHHOT	0.154407
Baotou	0.15322
Yichang	0.151417
Tangshan	0.146926
Quanzhou	0.143693
Weihai	0.142941
Changzhou	0.140259
Xian	0.140082
Luoyang	0.136392
Weifang	0.134224
Zhanjiang	0.131942
Baoding	0.131215
Dongguan	0.13089
"Jiangsu Province"	0.127544
Jiujiang	0.12712
Liaoning	0.12557
Zhangjiagang	0.12322
Zhejiang	0.122923
Sichuan	0.122565
"provincial capital"	0.121923
Jilin	0.12122
Sanya	0.11837
XI'AN	0.118003
Fujian	0.116525
Beihai	0.114481
"Zhejiang Province"	0.113931
Dandong	0.112248
Xuzhou	0.111417
Bulawayo	0.110499
Jiangsu	0.110123
Heilongjiang	0.110032
Guangdong	0.109923
Shiraz	0.109634
"Heilongjiang Province"	0.108882
Jayapura	0.108596
Zhangzhou	0.107915
"Pudong New Area"	0.107699
Hainan	0.107455
"Jilin Province"	0.107039
Hebei	0.106856
"Fujian Province"	0.106114
"Guangdong Province"	0.105468
Zhangjiajie	0.104597
Taloqan	0.10225
MAPUTO	0.102144
Shaanxi	0.10214
Daqing	0.101983
"Addis Ababa"	0.101935
Shandong	0.101226
Yunnan	0.100624
"Sichuan Province"	0.100379
"Ulan Bator"	0.0989055
"Shandong Province"	0.0986185
Henan	0.0985817
"Hubei Province"	0.0982868
Novosibirsk	0.0978602
YANGON	0.0972546
Quetta	0.0970201
Liuzhou	0.097012
Datong	0.0969158
Zhongshan	0.0967119
Fushun	0.0967098
DHAKA	0.0961222
Shanxi	0.0959636
"Hainan Province"	0.0956997
Yangzhou	0.0956454
Chengde	0.0954937
"Inner Mongolia Autonomous Region"	0.0952881
Osaka	0.0947699
Manado	0.0944189
"Phnom Penh"	0.0939558
Foshan	0.0934791
Kandy	0.0924867
Medan	0.0917428
Guangxi	0.0917377
BRASILIA	0.091556
Wellington	0.0912061
Sapporo	0.0911876
Mashhad	0.0910712
Jiangxi	0.0908228
Qinghai	0.0908179
Kuito	0.0904858
Surabaya	0.0901512
"Shaanxi Province"	0.0895226
Kupang	0.0894606
Hyderabad	0.0894441
KAMPALA	0.0893851
Peshawar	0.0893412
Hubei	0.0887164
Charikar	0.0886334
Jinzhou	0.0884431
Nagoya	0.0878021
Chisinau	0.0877759
Ningxia	0.0876491
Turpan	0.0876009
Medellin	0.0875888
Karachi	0.0875613
Kathmandu	0.0874285
Guizhou	0.0872542
Pusan	0.0871901
Sidon	0.0871581
HARARE	0.0865026
SEOUL	0.0861732
Lusaka	0.0861484
"Inner Mongolia"	0.0856531
HANOI	0.0849032
Beidaihe	0.0848574
Lucknow	0.0844815
"Abu Dhabi"	0.0844491
Bangkok	0.0843203
NIS	0.084226
Hunan	0.0839453
"Gansu Province"	0.0839394
Ashkhabad	0.0836049
Dunhuang	0.0832692
Lagos	0.0828633
"Guangxi Zhuang Autonomous Region"	0.0827741
BUDAPEST	0.082712
"Hebei Province"	0.0824819
Cartagena	0.0817613
TEGUCIGALPA	0.0816825
COLOMBO	0.0816689
SOFIA	0.0814215
"Kuala Lumpur"	0.0812624
Zhenjiang	0.0811105
Luanda	0.0811065
Jingdezhen	0.0810842
"Henan Province"	0.0810198
Ndola	0.080496
Winnipeg	0.0802041
"ALMA ATA"	0.0798786
Yaounde	0.0797695
Ambon	0.0789083
Pudong	0.0788898
"Yunnan Province"	0.0788403
Windhoek	0.0786928
"CHIANG MAI"	0.0785742
KIEV	0.0785188
Gansu	0.0775555
Bangalore	0.0772388
CARACAS	0.0771174
Xinjiang	0.0768001
ZHOUSHAN	0.0766119
Taipei	0.0761163
Calcutta	0.0761132
"Guizhou Province"	0.0760571
JOHANNESBURG	0.0758514
TUNIS	0.0758021
"Pearl River Delta"	0.0755438
Anhui	0.0753176
Qufu	0.0750298
Brisbane	0.0748088
Lahore	0.0747215
Kisumu	0.0746179
))
(change (desc 272491) (sims
shift	0.200726
reform	0.196804
improvement	0.188365
increase	0.167015
adjustment	0.160309
reduction	0.158208
development	0.150057
difference	0.146146
move	0.145964
growth	0.144971
measure	0.142903
trend	0.141765
revision	0.141465
problem	0.140789
progress	0.140499
action	0.137202
expansion	0.134189
policy	0.133807
decline	0.133662
cut	0.132751
decision	0.129697
rise	0.12798
transformation	0.126287
consolidation	0.125769
drop	0.12524
reversal	0.125016
success	0.121199
plan	0.120853
transition	0.119259
impact	0.11922
slowdown	0.118554
recovery	0.118495
legislation	0.117722
factor	0.117051
issue	0.116715
amendment	0.116007
proposal	0.115934
"tax cut"	0.115093
result	0.114602
situation	0.114348
challenge	0.114104
cutback	0.114072
innovation	0.114031
process	0.113776
effort	0.113399
crisis	0.113329
difficulty	0.112807
intervention	0.112691
delay	0.112564
merger	0.111981
turnaround	0.111916
strategy	0.111892
deal	0.111651
compromise	0.111594
initiative	0.111197
overhaul	0.111097
modification	0.110721
alteration	0.110513
fluctuation	0.110427
step	0.109756
deterioration	0.109462
disruption	0.109105
achievement	0.108999
failure	0.107769
deregulation	0.107526
solution	0.106685
surge	0.106479
approach	0.106395
return	0.106101
program	0.105785
use	0.105363
hike	0.105363
loss	0.105275
effect	0.105199
decrease	0.105143
Liberalization	0.105066
turmoil	0.104992
condition	0.104891
withdrawal	0.104844
activity	0.104638
thing	0.104484
agreement	0.104408
role	0.104354
gain	0.104176
cooperation	0.103983
instability	0.103709
stability	0.103421
peace	0.103155
weakness	0.103127
idea	0.103101
experience	0.102972
movement	0.102798
interest	0.102746
flaw	0.102714
that	0.102272
globalization	0.102188
layoff	0.101897
breakthrough	0.101833
evolution	0.101504
diversity	0.101015
provision	0.100734
this	0.100708
risk	0.100659
regulation	0.100553
rule	0.100483
pressure	0.100459
law	0.100429
restriction	0.100286
system	0.0997996
technology	0.0996511
reorganization	0.0993579
downturn	0.0989706
uncertainty	0.0989124
integration	0.0989065
presence	0.0987785
upheaval	0.0986627
work	0.0985614
disaster	0.0985587
inflation	0.0984369
investment	0.0983719
breakdown	0.098327
bill	0.0983116
shortage	0.0982995
shake-up	0.0979603
standard	0.0978779
violence	0.0978693
demand	0.0977842
procedure	0.0977137
behavior	0.0976447
Privatization	0.0975607
volatility	0.0974174
outcome	0.0972685
damage	0.0971886
benefit	0.0970259
settlement	0.0969366
ban	0.0969016
project	0.0967537
departure	0.0966979
fact	0.096037
spending	0.0960364
economy	0.0960091
flexibility	0.0958292
participation	0.0955855
strike	0.0955465
advance	0.0954036
performance	0.0954006
it	0.0953233
pattern	0.0951346
requirement	0.0947462
lack	0.0944273
commitment	0.0943064
creation	0.0942411
revolution	0.0940554
disparity	0.0938395
response	0.0936942
number	0.0935838
event	0.0935572
consequence	0.0934429
possibility	0.0932422
acquisition	0.0930565
switch	0.0928945
concession	0.0928323
threat	0.092766
kind	0.0926742
opportunity	0.0924238
question	0.092395
support	0.0923387
boost	0.092291
influence	0.0920722
phenomenon	0.0919719
money	0.0917428
boom	0.0917227
"policy change"	0.0916305
test	0.0914868
election	0.0913555
sanction	0.0913261
variation	0.0912654
environment	0.0912061
cost	0.09119
removal	0.0910195
relationship	0.0908736
need	0.0907455
conflict	0.0907253
reaction	0.0906692
crises	0.0906665
"budget cut"	0.0904103
attack	0.0903508
collapse	0.0903164
strength	0.0901163
practice	0.0898821
price	0.0898634
"price increase"	0.0897453
arrangement	0.0897123
vote	0.0896563
aspect	0.0893746
sale	0.0892827
choice	0.0892575
resignation	0.0891694
element	0.088967
deployment	0.0887872
))
("change of direction" (desc 904.822) (sims
reorientation	0.160408
about-face	0.142617
"policy change"	0.137888
"market correction"	0.134008
turnabout	0.128745
u-turn	0.125137
softening	0.108364
thaw	0.100617
"temperature change"	0.100265
comedown	0.0993859
reversal	0.0987233
divergence	0.0864625
sell-offs	0.0839709
shake-up	0.0817908
"tax change"	0.0793894
outperformance	0.0784733
reappraisal	0.0781092
shakeup	0.0755704
"abrupt change"	0.0752391
reassessment	0.0748023
meatpackers	0.0745042
reshuffling	0.073716
"possible action"	0.0728992
"management shakeup"	0.0726722
hardening	0.0725261
deceleration	0.0723573
"change of mind"	0.0719566
detente	0.0716333
dropoff	0.0715397
"turn of events"	0.0714292
turnoff	0.0713929
"fresh start"	0.0679461
"morale booster"	0.0674441
smooch	0.0672883
fulfilment	0.0668241
"guessing game"	0.0659903
"standard operating procedure"	0.065848
Intensification	0.0643636
"price change"	0.0640093
disavowal	0.0639243
revamping	0.0635539
realignments	0.0631314
widening	0.0626848
"hue and cry"	0.0616173
ebullience	0.0602073
"pitched battle"	0.0601096
"blind spot"	0.0599932
"difference of opinion"	0.05964
"religious holiday"	0.0592514
"fund-raising drive"	0.0591865
"refresher course"	0.0588686
"executive agency"	0.0586817
polarization	0.0586464
downslide	0.058328
subjectivity	0.0581994
"shell game"	0.0581918
rebirth	0.0581729
facelift	0.0578687
"management change"	0.0576609
belt-tightening	0.0576522
disbandment	0.0574926
relaxation	0.0573578
realignment	0.057122
re-opening	0.0570515
"price cut"	0.0567448
deviation	0.0564576
loosening	0.0563272
regression	0.0562656
"Agenda @@@@"	0.0562332
stayaway	0.0558474
melding	0.055668
annulment	0.0555913
drop-off	0.0554951
"asset sale"	0.0554866
diminution	0.0554241
upturn	0.055243
Indiscipline	0.0552122
divestitures	0.0550438
complementarity	0.0548789
Tightening	0.0548532
"cold spell"	0.0547526
unionism	0.0547381
"secret plan"	0.0545153
"drawing card"	0.0542403
lessening	0.0541547
remarriage	0.0540691
runup	0.0540098
"nose dive"	0.0539109
"battle line"	0.0533504
retrenchment	0.0533138
"rate hike"	0.0531225
toppling	0.0529974
"political program"	0.0529377
"benefit program"	0.0528199
"Economic and Monetary Union"	0.0524731
"face lift"	0.0524112
"ad blitz"	0.0523964
crescendo	0.0522158
feeler	0.0519214
subgenre	0.0517164
counterbid	0.0516526
disquiet	0.0514629
redistribution	0.0514018
termination	0.0513919
ruckus	0.0510135
counteroffer	0.0509315
scepticism	0.0508748
falloff	0.0506286
"hanky panky"	0.0505941
downturns	0.0505232
winnowing	0.0504608
antipathy	0.0503952
"quid pro quo"	0.0503609
wariness	0.0502062
disconnection	0.0501985
schism	0.0500779
"Free Trade Agreement"	0.0500447
"bank withdrawal"	0.0500106
capitulation	0.0499016
variance	0.0498821
"fund-raising campaign"	0.049857
"spending cut"	0.0497854
reexamination	0.0496549
shakeout	0.0496466
disharmony	0.0496433
sacking	0.0496344
tie-up	0.0496203
firmness	0.0492275
diagonal	0.0491819
"hole in the ground"	0.0490047
acquiescence	0.0489405
lowering	0.0488878
vacillation	0.0483349
"proxy fight"	0.0483242
SOS	0.0482819
linking	0.0482774
predominance	0.0481587
perusal	0.0480433
squatting	0.0479863
"traffic cop"	0.0479746
assent	0.0478362
"bank failure"	0.0478263
"place setting"	0.0477456
dawning	0.0475148
dilution	0.0474459
"bond offering"	0.0473239
mix-up	0.0472303
headway	0.0471545
"rate rise"	0.0471338
left-winger	0.0471177
elements	0.0470668
no-no	0.0469509
clampdown	0.0467542
"price cutting"	0.0465424
"social contract"	0.0464247
redefinition	0.0464063
make-over	0.0463881
"dividing line"	0.0463824
hiccup	0.0463696
reconsideration	0.0461544
"general agreement"	0.0461451
"land reform"	0.0460547
drawdown	0.0459477
mastectomy	0.0458631
reestablishment	0.0457533
disillusionment	0.0457071
"ill will"	0.0453851
one-hopper	0.0453731
reiteration	0.0453653
aggravation	0.0452605
scrapping	0.0451902
"World Environment Day"	0.0451771
"school of thought"	0.0448844
"retail operation"	0.0447423
bipartisanship	0.0446629
timidity	0.0445853
sending	0.0445783
palliative	0.0445653
uptick	0.0445368
PDA	0.0444445
"white flag"	0.0444335
"takeover attempt"	0.0442732
"popularity contest"	0.04427
"cash crunch"	0.0442587
resistence	0.0441081
thawing	0.0440133
"clean slate"	0.0439908
solstice	0.0438484
decentralization	0.0437796
reciprocity	0.0437262
snit	0.0436849
counter-offensive	0.0436003
stoppage	0.0435562
nonevent	0.0435455
"popular front"	0.0434523
"feminist movement"	0.0433863
wrapup	0.043311
"feast day"	0.0432492
fisticuffs	0.043235
"telephone book"	0.0432205
))
("change of mind" (desc 811.493) (sims
murder-suicide	0.0991497
u-turn	0.096058
"management change"	0.0895019
"guessing game"	0.0828438
flareup	0.0823769
rethinking	0.0798951
exoneration	0.075326
"interest rate increase"	0.0735101
"rate rise"	0.0725937
"change of direction"	0.0719566
misjudgments	0.0696383
capitulation	0.0685832
about-face	0.0685248
near-monopoly	0.0683702
"pay cut"	0.0678521
"temperature change"	0.0676153
outperformance	0.0671999
rejoinder	0.0658175
deceleration	0.0649516
rowdiness	0.0647538
"birthday gift"	0.0644818
demotion	0.0639549
reappearance	0.0635824
shakeup	0.0624993
hesitancy	0.0619908
"police action"	0.0616574
stayaway	0.061008
counterbid	0.0610062
relapse	0.060964
"name change"	0.0608316
epiphany	0.0605459
reticence	0.0604095
equanimity	0.0602622
cataclysm	0.0595712
"engine failure"	0.0587141
dilution	0.0587115
"ad blitz"	0.0585299
decompression	0.058383
sell-offs	0.0580335
"split personality"	0.0578839
gabfest	0.0574931
"hush money"	0.057119
passivity	0.0569712
"market correction"	0.0569278
jeremiad	0.056422
snafu	0.0563876
"victory celebration"	0.0562682
"heart failure"	0.0562465
inaction	0.0561933
"one go"	0.0561384
laundering	0.0561022
ghostwriter	0.0561003
renegotiation	0.0556168
sacking	0.0551382
renunciation	0.0550353
clear-cutting	0.0548372
delirium	0.0547417
"garden party"	0.0546885
"jam session"	0.0534406
reevaluation	0.0531561
downgrading	0.0527849
slipup	0.0524131
"goose bumps"	0.0517182
nationalization	0.0513521
"policy change"	0.0511688
incongruity	0.0510266
"nose dive"	0.0509301
haste	0.0507901
dropoff	0.0501847
nullification	0.0501562
amputation	0.0500758
remarriage	0.0499695
"cold spell"	0.0496938
misperception	0.0496193
bequest	0.0496118
falloff	0.0494668
harder	0.0494577
reappraisal	0.049392
drop-off	0.0493746
"target area"	0.0490171
"American plan"	0.048903
"dead end"	0.0488138
"flash flood"	0.0486329
reshuffling	0.0484195
"difference of opinion"	0.0484111
indecision	0.0483256
C-section	0.0483143
unraveling	0.0482665
Meggett	0.0482578
"tax liability"	0.0481322
inhumanity	0.0480283
duality	0.0478934
freebie	0.0477961
"rain shower"	0.0475547
"stay of execution"	0.047286
downturns	0.0470889
Intensification	0.0470053
"power failure"	0.0469905
letdown	0.0469267
flare-up	0.0468179
perjurer	0.046787
good-naturedly	0.046692
"blind spot"	0.0466709
"election fraud"	0.0466253
"Little Dog"	0.0466194
permissiveness	0.0465545
miscalculation	0.046433
"rate hike"	0.0463538
schism	0.0462122
"Passion play"	0.0461636
hopefulness	0.0461055
"nervous breakdown"	0.0460735
"Pan Ams"	0.0458519
overproduction	0.0457604
"turn of events"	0.0457429
quandary	0.0456944
fixation	0.0454696
Awakening	0.0454587
slackening	0.0454395
"musical score"	0.0453589
facelift	0.0451443
annulment	0.0450319
supposition	0.0449895
equaliser	0.0448631
turnabout	0.0448508
blowup	0.0448438
"health check"	0.0447814
"common factor"	0.0447783
wariness	0.0447693
landfall	0.0446416
go-slow	0.0446409
"light touch"	0.0446374
retrenchment	0.0445078
pang	0.0443146
thesaurus	0.0442795
stupor	0.0441542
"Subway Series"	0.0440453
"preconceived notion"	0.0440312
"great deal"	0.044017
screed	0.0439784
"pipe organ"	0.0437745
lessening	0.0435746
clampdown	0.0435739
"bank withdrawal"	0.0435501
"personal appeal"	0.0434699
SIESTA	0.0434087
jailing	0.043342
"tall tale"	0.0433342
de-escalation	0.0433323
nonchalance	0.0433197
disqualification	0.0432474
hand-holding	0.0432117
"wage freeze"	0.0432112
"sense of direction"	0.0431805
squandering	0.0431722
rollovers	0.0430853
redefinition	0.0430075
hoarding	0.0429787
implosion	0.0428708
knighthood	0.0428131
"work stoppage"	0.0427571
cutoffs	0.0427299
airstrike	0.0426653
price-fixing	0.0424692
"summer house"	0.0424561
"running play"	0.0423426
"political program"	0.0423181
diminution	0.0423062
miscommunication	0.0422808
eventuality	0.0422532
acquiescence	0.0422509
miscarriage	0.042246
downslide	0.0421732
LASIK	0.0421633
foul-up	0.0421189
Protestantism	0.0421103
reformation	0.0420405
"bit part"	0.0420362
banishment	0.0419427
slippage	0.0418855
inflexibility	0.0418381
groundswell	0.0416674
insinuation	0.0416479
tangent	0.0416142
invincibility	0.0415266
carcinogen	0.0415045
annexation	0.0413916
lead-in	0.0411633
"rise to power"	0.0411153
"coffee bar"	0.0410777
podiatrist	0.0410677
backsliding	0.0409861
Moby-Dick	0.0409675
carelessness	0.04087
"arrival time"	0.0408532
"hue and cry"	0.0408525
"compromise plan"	0.0408285
"traffic circle"	0.0407678
side-effects	0.0407057
skittishness	0.0406908
))
(change-up (desc 2879.51) (sims
forkball	0.411312
changeup	0.358747
splitter	0.343411
changeups	0.342348
sinker	0.278303
"breaking ball"	0.267025
slider	0.260124
curveballs	0.229302
curveball	0.22242
knuckleball	0.218393
fastball	0.192988
screwball	0.138139
"off-speed pitch"	0.119809
curve	0.114124
cutter	0.092044
"golf game"	0.0671982
sidearm	0.0608459
"Big Unit"	0.0597944
wrister	0.0596732
wage-earner	0.0589248
hand-me-down	0.0585355
"round of golf"	0.0579358
"point system"	0.0578861
"natural ability"	0.0572193
"hook shot"	0.0558423
"Hail Mary"	0.0556877
"second tour"	0.0554769
team.	0.0553124
prosthesis	0.0552414
"sand wedge"	0.0543294
Mabry	0.0543254
windscreen	0.0542348
"monkey wrench"	0.0536559
floater	0.0526533
heater	0.0514924
"line drive"	0.0514406
baserunner	0.0512907
"screen pass"	0.0503582
"Sugar Ray"	0.0501762
marksmanship	0.050153
crusher	0.0499106
downfield	0.0496478
stethoscope	0.0493116
composure	0.0492713
lawnmower	0.0488128
velocity	0.0487129
"race car"	0.0482834
remotes	0.0478611
"car door"	0.0478502
"chip shot"	0.0478133
Costin	0.0476369
Profiler	0.0475594
blooper	0.047432
"reaction time"	0.0474186
"hue and cry"	0.0473752
"raw talent"	0.0473306
"trial balloon"	0.0472043
"bag of tricks"	0.0469717
zinger	0.0468897
hunch	0.046754
"boxing glove"	0.0467244
"waiting game"	0.0464416
ballclub	0.0464199
Counsell	0.046278
"Kyle Brady"	0.0462206
snit	0.0461122
"won-lost record"	0.0456612
Mantei	0.0450575
riddance	0.0450422
racquet	0.0449003
"tennis ball"	0.0445375
"sense of smell"	0.0445108
"ball club"	0.0443347
eyesight	0.04427
sheetrock	0.0442625
licking	0.0442244
rickshaw	0.0441105
"civic duty"	0.0440182
"three pitchers"	0.0437349
"morale booster"	0.0436828
"grocery bag"	0.0435205
"fly rod"	0.0434241
putter	0.0433838
harder	0.0432761
dribbler	0.0430159
"hockey stick"	0.0429778
harpoon	0.0429651
"guardian angel"	0.042922
"drop shot"	0.0429102
"ground stroke"	0.0429083
"teaching method"	0.0428035
"fifth homer"	0.042764
one-hopper	0.0427009
Zing	0.0426811
freebie	0.0424745
"shipwreck survivor"	0.0424562
"speed bump"	0.0424086
"guitar player"	0.0423977
rebounders	0.0423261
"frame of mind"	0.0422834
straightaway	0.0421227
pushcart	0.0420939
"Christmas present"	0.0420354
"cup of tea"	0.0418998
bloop	0.0417263
heft	0.0412274
takeout	0.0411845
explosiveness	0.0411777
pick-and-roll	0.0411085
"approach shot"	0.0410801
dribbling	0.0410159
"birthday present"	0.0409313
"petrol bomb"	0.0409191
no-hitter	0.0408813
"smoke screen"	0.0407703
"wild pitch"	0.0406608
wattage	0.0406392
camcorder	0.0405597
footwork	0.040317
Randa	0.0402951
"Lincoln Town Car"	0.0401247
"seventh homer"	0.0400409
))
(changeover (desc 7943.17) (sims
rollover	0.16562
transition	0.0970257
conversion	0.0807824
eventuality	0.0788437
"Year @@@@"	0.0720709
rollout	0.0690526
shake-up	0.0679799
meltdown	0.0665379
reshuffle	0.0630666
glitch	0.062202
rollovers	0.062067
pullout	0.0614462
damming	0.0600658
disengagement	0.0598246
evacuation	0.0578263
countdown	0.0573318
repatriation	0.0570759
deployment	0.0569998
handover	0.0564908
shutdown	0.0560619
reorganization	0.0549054
disruption	0.0544531
malfunction	0.0540199
relocation	0.0536587
realignment	0.0533432
liquidation	0.0531319
enlargement	0.0528508
influx	0.052761
"market correction"	0.0523569
"two match points"	0.0516208
Y@K	0.0513539
breakup	0.0494214
remediation	0.0488122
downsizing	0.048719
foul-up	0.0485701
Demutualization	0.0485268
restoration	0.0478928
deregulation	0.0475568
cataclysm	0.0475271
transformation	0.0474338
"Lunar New Year"	0.0474226
Privatization	0.047367
breakdown	0.0471823
walkout	0.0469907
"work stoppage"	0.0469845
"New Year's eve"	0.0469344
resumption	0.0468984
snafu	0.0467648
phaseout	0.0466744
meltdowns	0.0464513
"solar eclipse"	0.0462931
accession	0.0462744
"leap year"	0.0454597
reopening	0.0453913
phase-out	0.0451137
"military action"	0.0450261
adjustment	0.0449127
resettlement	0.0449074
"budget debate"	0.0448364
crises	0.0448229
outage	0.0447438
counting	0.0445453
sell-off	0.044348
"cold spell"	0.044249
renovation	0.0442018
exhumation	0.0440672
consolidation	0.0440185
exodus	0.0438244
contingency	0.0436391
"Chinese New Year"	0.0435702
shakeup	0.0435266
catastrophe	0.043373
revaluation	0.0433534
divestiture	0.04323
heatwave	0.0431624
"bank failure"	0.0427049
depreciation	0.0425698
launching	0.0425382
closure	0.042524
cutback	0.0424347
run-up	0.0422491
demobilization	0.0421833
privatisation	0.042047
jubilee	0.0420104
toppling	0.0420055
"ASEAN Ministerial Meeting"	0.0420015
reshuffling	0.041981
rectification	0.0419574
beatification	0.0419482
"emergency landing"	0.0418009
reestablishment	0.041751
linkup	0.041559
decomposition	0.0415428
cleanup	0.041476
drawdown	0.0412232
inauguration	0.0409237
"Ninth Five-Year Plan"	0.0407981
apocalypse	0.0407975
rebuilding	0.0407713
winnowing	0.0407382
rehabilitation	0.0406662
semester	0.0405395
refereeing	0.0404801
lifting	0.0404249
))
(changer (desc 5377.67) (sims
"CD player"	0.16289
"air bag"	0.0932648
"audio system"	0.0909567
sunroof	0.0861946
"cassette player"	0.0852281
"bucket seat"	0.0852204
"stereo system"	0.0828967
stereo	0.0769626
"automatic transmission"	0.0758561
"cruise control"	0.0709946
wiper	0.0678486
subwoofer	0.0640603
recorder	0.0627605
burner	0.0621732
"sound system"	0.0618761
headphone	0.0607007
ABS	0.0606908
"outside mirror"	0.0581204
tuner	0.0574322
"suspension system"	0.0574195
"satellite receiver"	0.0568836
brake	0.0561307
"power steering"	0.05588
USB	0.054918
cassette	0.0546088
defroster	0.0539125
console	0.0527498
"alarm system"	0.0519467
"steering wheel"	0.051909
air-conditioning	0.0511561
switchboard	0.0506543
"videocassette recorder"	0.0505036
headrest	0.0498899
converter	0.0493241
claimer	0.0488476
heater	0.0487817
"hand-held computer"	0.0487198
keyboard	0.0485697
"microwave oven"	0.0467758
decoder	0.0462365
modem	0.0461821
"global positioning system"	0.0459211
"security system"	0.045543
"tape player"	0.0452664
fascia	0.045206
joystick	0.0449342
beepers	0.0448589
"memory chip"	0.044524
"rocket fuel"	0.0442225
"safety feature"	0.0441341
"cellular telephone"	0.0439324
V-@.	0.0437627
"production equipment"	0.0436821
"light touch"	0.0432964
CD-ROM	0.0432774
"cargo area"	0.0431453
adapter	0.0425998
"compact disc"	0.0424617
amplifier	0.0424518
DVDs	0.0422763
sensor	0.042173
sensing	0.0421431
microchip	0.0421194
"disk drive"	0.0420225
"caller ID"	0.0418767
pagers	0.0416708
instrumentation	0.0415724
"radio transmitter"	0.0415247
airbags	0.0414955
"color television"	0.0413641
seatbelt	0.0412944
"Diamond Multimedia"	0.0408863
scanner	0.040867
"sliding door"	0.0408383
"kerosene lamp"	0.0406725
phonograph	0.0404807
traction	0.040439
microprocessor	0.0401449
"laser printer"	0.0400999
earpiece	0.0400179
))
(changeup (desc 11504.9) (sims
change-up	0.358747
slider	0.355271
"breaking ball"	0.332369
curveball	0.322389
fastball	0.298089
forkball	0.293376
sinker	0.264348
splitter	0.255692
changeups	0.22904
pitch	0.179904
"off-speed pitch"	0.179573
curveballs	0.154317
knuckleball	0.135705
curve	0.120205
"line drive"	0.104603
screwball	0.0976152
"fly ball"	0.0849686
homer	0.0785671
"home run"	0.0761447
"fifth homer"	0.0739008
pickoff	0.0730854
cutter	0.0716856
backhand	0.0716317
"solo homer"	0.0714862
liner	0.0688835
"wild pitch"	0.065874
velocity	0.0654058
"seventh homer"	0.0652736
strikeout	0.0651471
grounder	0.0632723
"grand slam"	0.0632203
"four homers"	0.0621603
forehand	0.0614364
one-hopper	0.060778
blooper	0.0605602
"ground ball"	0.0595857
"second homer"	0.0590329
lob	0.0589653
"double play"	0.0579465
heater	0.0576442
baserunner	0.0575398
"first homer"	0.0573572
floater	0.0566814
"sixth homer"	0.0565366
two-out	0.0564185
"three pitchers"	0.0555422
bunt	0.0551697
at-bat	0.0548045
popup	0.0546197
"tennis ball"	0.0541661
left-center	0.0538777
Mabry	0.053609
"base hit"	0.0535985
pinch-hit	0.0533606
slapper	0.053017
pitching	0.0528156
"two homers"	0.0521587
no-hitter	0.051983
"jump shot"	0.0519513
Millwood	0.0517816
"sacrifice fly"	0.0517207
Maddux	0.050559
hitter	0.0505189
"third homer"	0.0504558
"foul ball"	0.0503434
"three homers"	0.0490345
putter	0.0486006
bullpen	0.0484637
"left field"	0.0484449
right-center	0.0484073
putt	0.047852
"pop fly"	0.0474738
no-decision	0.0474147
composure	0.0470443
downfield	0.0469344
"base runner"	0.0463319
Jeter	0.0453463
"batting average"	0.0451902
"running game"	0.0451186
ballgame	0.0450755
dribbler	0.0449321
"five homers"	0.0449062
"free kick"	0.0447069
puck	0.0443962
wideouts	0.0443407
"race car"	0.0442275
backhander	0.0442119
"Troy Percival"	0.0440037
"clean slate"	0.043941
windup	0.0438883
"eight homers"	0.0435919
"chip shot"	0.0430898
shutout	0.0430663
"eighth homer"	0.0429879
groundout	0.0425585
"center field"	0.0425528
volley	0.042458
swinging	0.0423213
ass	0.0422507
ace	0.0422338
clunker	0.0417822
Schourek	0.0415061
glove	0.0413505
wrister	0.0411509
jumper	0.0411189
"birthday present"	0.041085
two-hitter	0.0409457
ballclub	0.0407968
"game plan"	0.0406072
screamer	0.0403105
Belcher	0.040225
one-timer	0.0400965
quickness	0.0400262
))
(changeups (desc 2221.55) (sims
change-up	0.342348
forkball	0.336457
curveballs	0.308618
splitter	0.303979
changeup	0.22904
"breaking ball"	0.198449
sinker	0.191468
knuckleball	0.186746
slider	0.186004
curveball	0.156768
fastball	0.140812
"off-speed pitch"	0.128323
screwball	0.121701
ballgames	0.0936006
Advil	0.0900074
"raw meat"	0.0828758
cutter	0.0785593
QBs	0.0734935
faceoffs	0.0708373
B-@s	0.070528
baserunners	0.0704429
pluses	0.0704107
Mabry	0.0683857
firsts	0.0682252
"New York Republicans"	0.0671873
"word of advice"	0.0667535
"extra points"	0.0651896
"three pitchers"	0.0650689
"base runner"	0.0650108
"day of rest"	0.0641961
crewmembers	0.0641605
great-grandchildren	0.0638269
"Final Fours"	0.0636637
minor-leaguers	0.0627662
Christmases	0.0626622
"Sugar Ray"	0.0624648
upperclassmen	0.0623402
"Texas Democrats"	0.0609205
"major-league team"	0.0608445
keystrokes	0.0606597
"petrol bomb"	0.0602678
Stealers	0.0597171
"loose end"	0.0594676
"Ryder Cups"	0.0590858
fundraisers	0.0587267
"All-Star Games"	0.0577653
Mantei	0.0572999
"Big Unit"	0.0566057
years.	0.0563269
tenths	0.0562306
"boxing glove"	0.0560267
All-Americans	0.0558509
Irishmen	0.0553351
wideouts	0.0551202
goaltenders	0.0547702
layups	0.0538706
"No. @s"	0.0533514
"Woody Williams"	0.052313
Creationists	0.0522947
"wild pitch"	0.0520738
ifs	0.0520328
"sunflower seed"	0.0518546
tacklers	0.0511758
"great year"	0.0510599
closers	0.0509002
takeaways	0.0508967
"running play"	0.0508004
Emmys	0.05055
postseasons	0.0504421
yea	0.0503714
Ghanaians	0.0496947
"Hail Mary"	0.04954
"Jeff Weaver"	0.0494869
hypotheses	0.0494604
TDs	0.0491959
things	0.0486868
"city block"	0.0483871
bleep	0.0482651
Millwood	0.0477656
near-misses	0.0476475
vote-getters	0.047539
playmakers	0.0472394
starts.	0.0471745
factoids	0.0471307
no-decisions	0.0470473
"season ticket"	0.0469985
A@@@s	0.0469274
co-leaders	0.046694
"ground ball"	0.0463947
crusher	0.0462471
"speeding ticket"	0.0461242
"heavy hitter"	0.0458335
hitchhiker	0.0458221
oldies	0.0452988
kink	0.0452904
"ball club"	0.0452903
"hot potato"	0.0451455
freebies	0.045039
"gasoline bomb"	0.0450389
"flight of stairs"	0.0449876
determinations	0.0449709
blooper	0.0449331
Kansan	0.0448718
sidearm	0.0446967
floater	0.044626
trash-talking	0.0446155
hubcap	0.0445176
tractor-trailers	0.0444874
calorie	0.0443671
"New York Democrats"	0.0443014
bogie	0.0442705
"Pro Bowls"	0.0442141
"Bobby Estalella"	0.0440314
hundredth	0.0438834
"unearned run"	0.0438537
innings.	0.0437985
spacewalkers	0.0437482
drownings	0.0435545
"foul shot"	0.0434946
"knockout punch"	0.0434309
"drop shot"	0.0434255
forehand	0.0433871
shredders	0.0432155
Profiler	0.0431987
old-timer	0.0431947
"elbow room"	0.0431931
"major league season"	0.0430027
rebounders	0.0429315
"french fries"	0.0427388
downtime	0.0426897
nonwhites	0.0426508
crewmates	0.0426034
Picassos	0.0425793
zingers	0.0424368
centenarian	0.0420395
caveat	0.0420206
timeouts	0.0416965
three-pointers	0.041611
Furbys	0.0415502
matchups	0.041493
heater	0.0414677
"Good Book"	0.0413904
passersby	0.0412996
"French door"	0.0412668
"market watcher"	0.0412327
"two pitchers"	0.0410854
straggler	0.041062
"close call"	0.0409989
metropolises	0.0409977
"cat food"	0.0408142
harder	0.040764
"World Cups"	0.0404083
"pass catcher"	0.0401667
par-@s	0.0401406
"exclamation point"	0.0400907
))
(Changhong (desc 1625.8) (sims
Konka	0.246708
Haier	0.112356
"Wyeth-Ayerst Laboratories"	0.0847054
Marconi	0.0796012
Psion	0.0788182
Electrolux	0.078543
Embraer	0.0776922
"Micron Technology"	0.0751445
"Pratt &AMP; Whitney"	0.0746012
"Abbott Laboratories"	0.0730593
Ericsson	0.0729229
Nokia	0.0724735
Sepracor	0.0711582
bombardier	0.0710521
Hitachi	0.0709678
"Applied Materials"	0.0704888
Schering	0.0695706
Philips	0.0687226
Denel	0.0627057
HKFA	0.0601233
Fujitsu	0.0593631
"Volvo AB"	0.059363
Thyssen	0.0592927
"Du Pont"	0.0580132
Informix	0.0567393
"Smith &AMP; Wesson"	0.0559211
"F&AMP;N"	0.0551774
Wyeth-Ayerst	0.0542675
Alcoa	0.0539727
Omega	0.0538269
Kilborn	0.0535263
"Eli Lilly &AMP; Co."	0.0530792
CPAFFC	0.0529785
"Northern Telecom"	0.0528185
PictureTel	0.0525015
Agusta	0.0523346
NEC	0.0522744
Maytag	0.0521559
"Warner-Lambert Co."	0.0520032
Alcatel	0.0516253
"Pfizer Inc."	0.0515793
Ltd	0.0515387
Rawabdeh	0.0500611
"Advanced Micro Devices"	0.049998
Scania	0.0498609
"Bristol-Myers Squibb"	0.0491797
"Hitachi Ltd."	0.048409
Cerent	0.0483835
"Niagara Mohawk"	0.0479936
Merloni	0.0479456
Incyte	0.0478514
Otis	0.0478409
"Advanced Micro Devices Inc."	0.0478322
"Oracle Corp."	0.0477948
SDL	0.0476276
Samsung	0.0476106
Ducati	0.0475664
ARCO	0.0474673
"JDS Uniphase"	0.0471138
UTC	0.0470968
Honeywell	0.0469777
whirlpool	0.0466386
"Boeing Co."	0.0464021
CDB	0.0463246
Skoda	0.0461457
"NEC Corp."	0.0459614
"Nortel Networks Corp."	0.0455817
cortex	0.0453556
Eastman	0.0453135
Baba	0.0451578
"Texas Instruments"	0.0450518
"Qualcomm Inc."	0.0449708
Panasonic	0.0449132
"Thomson Multimedia"	0.0444576
REVLON	0.0443867
VENATOR	0.0440945
Bayer	0.0439376
transnationals	0.0438803
"Brown &AMP; Williamson"	0.0438329
NiSource	0.0438319
"Airbus Industrie"	0.0438092
"Federated Department Stores"	0.0438025
Preki	0.0437636
"Motorola Inc."	0.0437485
E-LOAN	0.0435992
"Rick Neuheisel"	0.0432487
Corel	0.0432291
Broadcom	0.0431168
"Liz Claiborne"	0.0430498
"Legend Group"	0.0427327
PLN	0.0426238
Sunbeam	0.0424152
TRW	0.0423657
"Sony Corp."	0.0423347
Hyundai	0.0420651
Matsushita	0.0420433
hodgson	0.0420393
Najera	0.0420328
CNOOC	0.0417221
"American Home Products"	0.0417168
Barad	0.0416945
Seagate	0.0415388
Aegon	0.0414294
GPU	0.0413003
Bestfoods	0.0412985
Qualcomm	0.0412184
RCN	0.0411369
"SmithKline Beecham"	0.0411262
phaseout	0.0410949
"Jim Harrick"	0.0409694
AutoNation	0.0409589
CAS	0.04095
Espinosa	0.0408437
"five @-pointers"	0.0408227
"Malaysia Airlines"	0.0407695
Alltel	0.0407048
Jilin	0.0405425
"Suzhou Industrial Park"	0.0404866
Eurotunnel	0.0404336
CCA	0.0402681
"Union Carbide"	0.0402219
"Nancy Pelosi"	0.040198
"China National Petroleum Corporation"	0.0401919
remotes	0.0401716
"Nissan Motor Co."	0.0401393
"closed-end fund"	0.040105
))
(changing (desc 2351.21) (sims
turning	0.160095
"market correction"	0.0812896
"solar eclipse"	0.0802071
melding	0.0669933
dawning	0.0636716
reorientation	0.0621061
shakeout	0.0597869
"change of direction"	0.0583904
warming	0.0572796
rosette	0.0561415
softening	0.0547654
realignment	0.0523741
"name change"	0.0521288
"dog days"	0.0514245
turnabout	0.0502409
"seventh homer"	0.05021
"feast day"	0.0496986
reshuffling	0.0496572
positioning	0.0496558
"Veterans Day"	0.0495179
"May Day"	0.0494736
thawing	0.048856
"blue moon"	0.04852
"Earth Day"	0.0479442
rebirth	0.0476597
maneuvering	0.0475201
"World Environment Day"	0.0474552
"religious holiday"	0.0467147
Convergence	0.0463851
uptick	0.0457688
reinvention	0.0457232
"M University"	0.0455875
"fifth homer"	0.0454568
paucity	0.0454088
premonition	0.0453105
exhumation	0.0452604
misspelling	0.0446738
overhauling	0.0446726
hardening	0.0446528
"meteor shower"	0.0445409
rethinking	0.0445116
shoplifter	0.0445011
wipeout	0.0444178
"management shakeup"	0.0444175
confluence	0.0440441
lessening	0.0440145
"white elephant"	0.0439924
reconfiguration	0.0439046
upturn	0.0437849
retrenchment	0.0436937
"social event"	0.0427823
nadir	0.0427166
stabbings	0.0423627
"first pole"	0.0423347
"third homer"	0.0418007
scarcity	0.0416177
linking	0.0415088
"sixth homer"	0.0414944
"second month"	0.0414342
scattering	0.0413931
"first third"	0.0413258
"eighth homer"	0.0411034
"St. Patrick's Day"	0.0409931
"Black History Month"	0.0409033
intercession	0.0405007
"one line"	0.0403489
hostage-taking	0.0402835
nullification	0.040162
lowering	0.0400742
shedding	0.0400632
decentralization	0.040021
))
(Changsha (desc 10777.1) (sims
Jinan	0.37674
Zhengzhou	0.367717
Guiyang	0.364627
Hohhot	0.353303
Shijiazhuang	0.350796
Nanchang	0.346064
Hefei	0.344291
Xining	0.338994
Taiyuan	0.331546
Yinchuan	0.329686
Kunming	0.326647
CHENGDU	0.321267
Urumqi	0.319782
Hangzhou	0.313593
Lanzhou	0.311626
CHANGCHUN	0.297644
NANJING	0.296041
Nanning	0.294429
Shenyang	0.292511
Wuhan	0.291478
Harbin	0.287534
Fuzhou	0.283091
Haikou	0.274571
Chongqing	0.273977
Qingdao	0.260041
Dalian	0.257469
Guangzhou	0.255424
Yantai	0.233104
Ningbo	0.231983
Tianjin	0.22952
Suzhou	0.228631
Nantong	0.228166
Guilin	0.222162
Xiamen	0.221399
Lianyungang	0.209835
Shenzhen	0.205803
Zhuhai	0.204817
Zhanjiang	0.196329
Shantou	0.196017
Lhasa	0.190229
Wuxi	0.188399
Weihai	0.185457
Wenzhou	0.176567
Shanghai	0.173018
Yichang	0.163439
Xian	0.160917
HUHHOT	0.160655
Liuzhou	0.160054
Qinhuangdao	0.159565
Anshan	0.156746
BEIJING	0.154552
Zhangjiajie	0.150484
Xuzhou	0.147332
Luoyang	0.146388
Zhangjiagang	0.144928
Quanzhou	0.139308
Changzhou	0.138591
Jiujiang	0.131607
Tangshan	0.131354
Zhenjiang	0.128561
Datong	0.127922
Baotou	0.126336
Beihai	0.122984
XI'AN	0.121701
Yangzhou	0.121297
Weifang	0.120113
"Ulan Bator"	0.119981
"ALMA ATA"	0.119602
"provincial capital"	0.119426
Baoding	0.116818
Jayapura	0.116463
"Liaoning Province"	0.11616
Quetta	0.112727
"Jiangsu Province"	0.109439
"Addis Ababa"	0.109416
MAPUTO	0.108292
Mashhad	0.107125
Shiraz	0.106732
Huangshan	0.10629
Dongguan	0.103288
Bulawayo	0.103255
"Hubei Province"	0.102304
YANGON	0.102019
Vientiane	0.101713
Kathmandu	0.100603
Foshan	0.100024
Manado	0.0995646
"Sichuan Province"	0.099112
Dunhuang	0.0988513
HANOI	0.0985634
Kupang	0.0984752
"Zhejiang Province"	0.0984748
SOFIA	0.0984279
"Hainan Province"	0.0979226
Peshawar	0.0976413
Charikar	0.0965972
Vladikavkaz	0.0962752
Taloqan	0.095454
Kuito	0.095201
COLOMBO	0.0950424
Luanda	0.0947836
"Abu Dhabi"	0.0947059
JOHANNESBURG	0.0946438
"Guangdong Province"	0.0942883
TEGUCIGALPA	0.0939378
Bishkek	0.0936193
KIEV	0.0936057
Lusaka	0.0935733
Sichuan	0.0934477
Windhoek	0.0929722
Kandy	0.0928358
BUCHAREST	0.0922599
Alma-Ata	0.0920895
BRASILIA	0.0919674
Shaanxi	0.0915535
"Henan Province"	0.0914189
Ashkhabad	0.0912107
"Shandong Province"	0.0910824
"SANTA FE DE BOGOTA"	0.0910331
KAMPALA	0.0910184
Guizhou	0.0905576
Zhejiang	0.0905351
Chisinau	0.0903857
Surabaya	0.0902804
Zhongshan	0.0902185
HARARE	0.0897217
"Gansu Province"	0.0895941
Bangkok	0.0893113
Hunan	0.0888516
SEOUL	0.0878946
Srinagar	0.0876186
CARACAS	0.0875843
Wellington	0.0871415
Ndola	0.0867426
Hyderabad	0.0866259
Guangdong	0.0865824
Sanya	0.0861287
DHAKA	0.0859962
"Fujian Province"	0.0857753
"Buenos Aires"	0.0855481
Osaka	0.0854396
Zhangzhou	0.085359
"Dar es Salaam"	0.085355
Hainan	0.0852355
"Phnom Penh"	0.0848634
"Shanxi Province"	0.0848325
Jakarta	0.0847468
Medan	0.0845451
"Panama City"	0.0844845
Asuncion	0.0841298
Juba	0.0840753
Fujian	0.0834483
Bangalore	0.0834034
Liaoning	0.0830904
Sidon	0.0829065
Taizhou	0.0826991
Manila	0.0825193
Vilnius	0.0823858
Nairobi	0.0823556
Mbabane	0.081985
"SANTAFE DE BOGOTA"	0.0818602
Makhachkala	0.081715
Guangxi	0.0812157
PATNA	0.0808655
"New Delhi"	0.0808168
Ambon	0.0806194
Jilin	0.0799654
Hubei	0.0797225
"Shaanxi Province"	0.0796551
Nagoya	0.0794155
Jinzhou	0.0793701
"Rio de Janeiro"	0.0792853
"Hebei Province"	0.0792658
Lagos	0.0791749
Podgorica	0.0790245
"Heilongjiang Province"	0.0789172
"Hunan Province"	0.0788526
"Ho Chi Minh City"	0.0788102
Medellin	0.0788102
Beira	0.078771
Novosibirsk	0.0786426
Cebu	0.0783253
Tashkent	0.0773063
Lucknow	0.0772995
Jingdezhen	0.077243
Kigali	0.0768891
Yunnan	0.0768571
BOGOTA	0.0767915
Islamabad	0.0765761
Prague	0.0765355
Bamako	0.0764744
Haicheng	0.0764686
ANKARA	0.0759042
Cochabamba	0.075889
Bandung	0.075491
Taipei	0.0753122
Tehran	0.0752433
"Pudong New Area"	0.0745689
"Kuala Lumpur"	0.0745114
Riyadh	0.0742929
))
(Changzhou (desc 2294.82) (sims
Yangzhou	0.459722
Zhangjiagang	0.438642
Zhenjiang	0.382679
Wuxi	0.354367
Xuzhou	0.31982
Suzhou	0.300688
Taizhou	0.260503
Ningbo	0.245507
Lianyungang	0.242891
Nantong	0.207201
NANJING	0.198975
Hangzhou	0.18111
Yantai	0.164815
Hefei	0.1552
Wenzhou	0.150793
Jinan	0.149564
Dongguan	0.147399
Fuzhou	0.142777
CHANGCHUN	0.140259
Qingdao	0.140243
Zhuhai	0.140094
Weifang	0.139426
Changsha	0.138591
Nanchang	0.135493
Shaoxing	0.134749
Jiujiang	0.134161
Anshan	0.128956
Wuhan	0.125242
Dalian	0.124387
CHENGDU	0.124094
Harbin	0.123387
Shenyang	0.122
Xiamen	0.121923
Haikou	0.120819
Tangshan	0.115906
Qinhuangdao	0.114604
Zhengzhou	0.114581
"Jiangsu Province"	0.114358
Zhanjiang	0.1143
Baoding	0.113107
Shijiazhuang	0.110798
Liuzhou	0.109178
Guilin	0.108729
Baotou	0.108089
Weihai	0.1074
"Yangtze River Delta"	0.107368
"Suzhou Industrial Park"	0.107008
Huangshan	0.10586
Foshan	0.104743
Chongqing	0.1019
"Zhejiang Province"	0.10182
Tianjin	0.101196
Nanning	0.100657
Shantou	0.0988051
Zhongshan	0.0983178
Kunming	0.0981985
Guiyang	0.0955755
Luoyang	0.0940622
Guangzhou	0.0925358
Quanzhou	0.0917176
Shenzhen	0.0892288
Zhangzhou	0.0891047
Nagoya	0.0884776
Antalya	0.0883057
Yichang	0.0883015
Xian	0.0849658
Datong	0.0827256
Zhangjiajie	0.0826217
Xining	0.0806778
"Shandong Province"	0.0802366
Chengde	0.0801628
Kandy	0.0797989
"Fujian Province"	0.0795439
Shashi	0.0795177
Sanya	0.0793085
ZHOUSHAN	0.0774235
Haicheng	0.0770437
Lanzhou	0.0767007
Qufu	0.0757809
Golmud	0.0740233
"Liaoning Province"	0.0736037
Hohhot	0.0735602
Jinzhou	0.0734327
Taiyuan	0.0730579
Jiangsu	0.0727628
"Nanjing University"	0.0723987
Davao	0.0721912
Beihai	0.0721095
"Shanxi Province"	0.0703401
Dandong	0.0696209
Bulawayo	0.0691707
Herat	0.0683055
Zhejiang	0.068304
"Shenzhen City"	0.0680588
Baalbek	0.0671846
Kisumu	0.067064
Cebu	0.0669285
Fushun	0.0664363
"Pearl River Delta"	0.066313
Urumqi	0.0660144
Kaohsiung	0.0651023
"Tianjin Municipality"	0.0637317
Caen	0.0635782
Galle	0.0632663
"Taihu Lake"	0.062117
"Jilin Province"	0.0619646
Yinchuan	0.0617237
Lhasa	0.0613972
"Long Island City"	0.0613301
"Technological Development Zone"	0.0604199
"Sichuan Province"	0.060202
"Hainan Province"	0.0599618
"Heilongjiang Province"	0.0598496
Cochabamba	0.0594885
Aswan	0.0592238
"Port Harcourt"	0.0589151
"Shenzhen Special Economic Zone"	0.0585078
Cartagena	0.0580534
Hannover	0.0580133
Turpan	0.0580077
Lucerne	0.0578798
Pusan	0.0578762
Piraeus	0.0578091
Zhangjiakou	0.0575933
Trincomalee	0.0569437
Mandalay	0.0567556
Bamiyan	0.0566272
LaGrange	0.0563838
Beira	0.055811
Sharjah	0.0555536
Salonica	0.0552398
Dundee	0.0552333
Hyderabad	0.0551685
Izmir	0.0551194
Nagasaki	0.0549525
Osaka	0.0549294
Jinja	0.0547958
"CHIANG MAI"	0.0543162
"Shaanxi Province"	0.0542149
Bandung	0.0541596
"Cuban capital"	0.0535411
Dunhuang	0.0532875
Rostock	0.0532756
Jilin	0.0532048
"Anhui Province"	0.0530554
"Guizhou Province"	0.0528733
"Hubei Province"	0.0527764
Novosibirsk	0.0524976
Chennai	0.0521628
"San Pedro Sula"	0.0520779
"San Luis Obispo"	0.0520493
Nago	0.0518853
Jamestown	0.0516137
Cotabato	0.051602
Trondheim	0.0512096
Rafah	0.0511765
"Gansu Province"	0.0508048
Midrand	0.0507627
Mashhad	0.0506431
Isfahan	0.0506262
Klagenfurt	0.0504921
Fujian	0.0502466
"Hunan Province"	0.05021
Avignon	0.0501488
"Guangxi Zhuang Autonomous Region"	0.0501071
"Special Economic Zones"	0.0500482
Cardiff	0.0498336
Vitoria	0.0495336
Qom	0.0495067
Gansu	0.0494998
"East St. Louis"	0.0494203
"Malaysian capital"	0.0493626
Najaf	0.049269
"Iranian capital"	0.0491919
Puebla	0.0491039
"Algerian capital"	0.0490291
Christchurch	0.0489078
"Ningxia Hui Autonomous Region"	0.0485705
Chisinau	0.0485214
Tuscaloosa	0.0484196
"Grand Rapids"	0.0483087
"Henan Province"	0.048165
"Exposition Park"	0.048059
Dresden	0.0480181
Macoris	0.0479957
Liaoning	0.0479063
Rajshahi	0.0478835
Moshi	0.047729
Eilat	0.0477202
Emeryville	0.0475964
"September, @@@@"	0.0474941
Waterbury	0.047436
Bangalore	0.0473984
Salonika	0.0473896
"Hebei Province"	0.0471968
Kraljevo	0.0471738
"national capital"	0.0471315
"Jiangxi Province"	0.0470867
Antioch	0.0469003
"Pudong New Area"	0.0467502
))
(channel (desc 122274) (sims
"cable network"	0.187748
network	0.184466
station	0.135663
"television network"	0.133633
television	0.131544
"television station"	0.130571
outlet	0.128148
cable	0.125661
"TV network"	0.119803
programming	0.119386
"TV station"	0.113809
CNN	0.112041
MSNBC	0.108921
"radio station"	0.108601
TV	0.108139
"cable television"	0.104627
radio	0.104117
MTV	0.102118
site	0.101282
CNBC	0.100344
broadcast	0.10019
service	0.100099
ESPN	0.0987116
ABC	0.0968291
Internet	0.0957372
"news program"	0.0944798
program	0.0935377
system	0.0934151
CBs	0.0896024
NBC	0.0888308
VH@	0.0882616
HBO	0.0872248
C-Span	0.0863085
show	0.0852073
PBS	0.0842187
web	0.0835384
"cable system"	0.083407
Satellite	0.0826546
mechanism	0.0813246
Nickelodeon	0.0811377
"news show"	0.0808554
provider	0.0807704
route	0.0785173
Portal	0.0785003
company	0.077894
Canal	0.0778835
magazine	0.0777974
means	0.0771734
project	0.0767068
Computer	0.0763689
"talk show"	0.0763453
market	0.076274
business	0.0762233
"Channel @"	0.0761592
affiliate	0.0756912
page	0.0750521
newscast	0.0749543
ESPN@	0.074731
Website	0.0744916
software	0.0744768
waterway	0.0740529
facility	0.0738951
venture	0.0734327
broadcaster	0.0733872
access	0.0732019
technology	0.0730023
Showtime	0.072972
medium	0.0716367
websites	0.0712694
link	0.071248
pipeline	0.0710583
video	0.0707309
Telecast	0.0706296
news	0.0706135
operation	0.0702573
line	0.0702414
source	0.069913
Fox	0.0698924
device	0.0698029
TNT	0.0696879
store	0.0695705
broadcasting	0.0694306
"television show"	0.06939
area	0.0692772
bank	0.0689623
"television program"	0.0683653
unit	0.0682593
"phone line"	0.0678177
opportunity	0.0677654
newspaper	0.0677034
Entertainment	0.0676242
format	0.0675429
subscriber	0.0675075
"joint venture"	0.0674473
publication	0.0674423
communication	0.0673006
bridge	0.0672689
"TV show"	0.067253
screen	0.0667969
center	0.0667648
road	0.066753
"telephone service"	0.0666854
"telephone line"	0.0666205
"TV program"	0.0665676
product	0.066352
content	0.0663496
machine	0.0662919
infrastructure	0.0662739
studio	0.0662186
resource	0.0658735
brand	0.0656259
catalog	0.0654991
Advertising	0.0654755
offering	0.0652441
"phone service"	0.0652151
coverage	0.0650476
partnership	0.0648799
enterprise	0.0647567
tool	0.0647514
highway	0.0646601
signal	0.0646485
server	0.0645021
fund	0.0643653
telephone	0.0643186
feature	0.0641583
option	0.0640256
information	0.0640236
terminal	0.0637853
organization	0.0637806
AD	0.063652
method	0.0633287
port	0.063043
section	0.0629981
exchange	0.062929
viewer	0.0628939
series	0.0628559
database	0.0625188
media	0.0624898
special	0.0624418
river	0.0624151
reservoir	0.0623714
agency	0.0623594
movie	0.0618585
structure	0.0618133
forum	0.0617406
sector	0.0617236
institution	0.0616283
railway	0.0615351
phone	0.0614391
"computer network"	0.0614231
equipment	0.0613174
model	0.0610707
BBC	0.061058
tunnel	0.0609789
modem	0.060966
application	0.0608075
commercial	0.0607819
segment	0.0607573
data	0.060514
activity	0.0605052
firm	0.0604849
alternative	0.0603832
industry	0.060214
space	0.0602038
listing	0.0596621
advertisement	0.0593775
expressway	0.0593222
PC	0.0592788
avenue	0.0592354
transmitter	0.0592291
strategy	0.0592176
shop	0.0588445
venue	0.0588393
user	0.0587761
development	0.0587198
subsidiary	0.0586517
hub	0.0585833
connection	0.0585216
platform	0.0582806
UPN	0.0582601
frequency	0.058191
carrier	0.0581873
"information service"	0.0579442
environment	0.0578928
"theme park"	0.0578841
vehicle	0.0577004
plan	0.0576317
customer	0.0576126
stream	0.0575095
intermediary	0.0574155
directory	0.0573263
capability	0.0572561
monitor	0.0572297
dialogue	0.0571617
film	0.0571583
WB	0.0570159
property	0.0567279
instrument	0.0567138
"World Wide Web"	0.056585
factory	0.0564405
))
("Channel @" (desc 11290.5) (sims
"Channel @@"	0.184098
NTV	0.158043
iTV	0.126628
ORT	0.123574
CBs	0.122738
BBC	0.122326
ABC	0.122124
"TV station"	0.121857
ESPN	0.120213
NBC	0.118276
WGBH	0.116766
NHK	0.116732
ABS-CBN	0.116529
"television station"	0.115731
CNN	0.112554
Univision	0.111839
CNBC	0.110016
MSNBC	0.107245
"British Broadcasting Corp."	0.105458
"radio station"	0.104798
WMUR-TV	0.104287
"television network"	0.101582
Kron	0.0986432
WSB	0.0984664
ESPN@	0.0975321
"China Central Television"	0.0933821
"TV network"	0.0904148
PBS	0.089987
TNT	0.0875028
affiliate	0.0871133
Showtime	0.0863616
"Fox Sports Net"	0.0861109
HBO	0.0858604
Televisa	0.0845836
VH@	0.0828744
C-Span	0.0820353
MTI	0.081701
CTV	0.0814932
"Egyptian Middle East News Agency"	0.0809888
"Israel Radio"	0.0805154
"National Public Radio"	0.0799431
"CBS News"	0.0784353
"Business Times"	0.0780687
Haaretz	0.0779975
CCTV	0.0773928
"Turner Sports"	0.0762186
"Daily News"	0.0761026
Fox	0.0756667
MTV	0.0751239
"ABC News"	0.0741264
"Voice of America"	0.0733276
"Dow Jones Newswires"	0.0730172
"Cable News Network"	0.0727136
"Straits Times"	0.0723331
"Associated Press of Pakistan"	0.0720357
WGN	0.071964
"Civil Aviation Authority"	0.0712065
"Boston Herald"	0.0708916
"Financial Times"	0.0707253
"News Agency of Nigeria"	0.0701133
Antara	0.0698517
"Indonesian Observer"	0.0693646
"Comedy Central"	0.0693251
"Washington Times"	0.0692418
"Turner Classic Movies"	0.0687031
CBS-TV	0.0686004
"Iran News"	0.0685688
"Moscow Times"	0.0682474
RCN	0.0679965
"cable network"	0.067082
CBC	0.0669768
"British Broadcasting Corporation"	0.0664053
Nickelodeon	0.0661118
"Discovery Channel"	0.0658541
UPN	0.0649552
"Jerusalem Post"	0.0648336
"Thai News Agency"	0.0647345
"Kyodo News"	0.0645459
"Radio Liberty"	0.064389
Izvestia	0.0642041
IRNA	0.063985
"National Association of Realtors"	0.0639499
"Court TV"	0.0636154
"news show"	0.0631802
"Zimbabwe News Agency"	0.0630988
"Canal Plus"	0.0630734
Lusa	0.0630709
Maariv	0.0630412
"Dallas Morning News"	0.0626594
"Southern African Broadcasting Association"	0.0625981
"Philippine News Agency"	0.0621941
Newsweek	0.0620906
"El Pais"	0.0617922
"Middle East News Agency"	0.0614831
"Daily Times"	0.0613633
"Press Trust of India"	0.0611317
"Rwanda News Agency"	0.0610929
"Saudi Press Agency"	0.060784
"Dateline NBC"	0.0607471
"Egyptian Gazette"	0.0607431
Bernama	0.0606439
"television news"	0.0604737
Reuters	0.0601985
Times	0.0599818
"Kyodo News Service"	0.0598551
"South China Morning Post"	0.0597966
Noticias	0.0597268
"Fox News Channel"	0.059677
"NBC News"	0.059656
"Jakarta Post"	0.0594258
"news program"	0.0590925
"New Straits Times"	0.0586213
"U.S. Labor Department"	0.058403
"Tehran Times"	0.05831
"Cincinnati Enquirer"	0.0583025
"Philadelphia Inquirer"	0.0581538
"Der Spiegel"	0.0580287
"cable television"	0.0579872
Al-Ahram	0.0579655
Ansa	0.0575698
"Korean Central News Agency"	0.0575088
"Business Day"	0.0573983
"Daily Telegraph"	0.0572191
"Ethiopian News Agency"	0.0570736
Kommersant	0.0567274
Tb	0.0567101
Post-Intelligencer	0.0566996
newscast	0.0566948
"Turkish Daily News"	0.0566565
"United Press International"	0.0566521
"Los Angeles Times"	0.0565556
ABC-TV	0.0565528
"Daily Star"	0.0565138
"Kuwait News Agency"	0.0565135
"Khaleej Times"	0.0564758
al-Hayat	0.0564744
AFP	0.0562643
"East African Standard"	0.0556803
"Associated Press"	0.0556676
"ABC Sports"	0.05562
"New York Post"	0.0555438
"Iraqi News Agency"	0.0555257
Rai	0.0554645
"Washington Post"	0.0554609
"Xinhua News Agency"	0.0554201
"Kenya Times"	0.0552637
"Food Network"	0.0551383
"CBS Sports"	0.0549677
Angop	0.0549377
"Islamic Republic News Agency"	0.0548811
"Houston Chronicle"	0.054822
"Golf Channel"	0.0548137
"Ghana News Agency"	0.054535
"Chicago Tribune"	0.0544076
ATA	0.0538527
"USA Network"	0.0534601
"Radio Uganda"	0.0533755
"Australian Associated Press"	0.0531091
"China Youth Daily"	0.0530446
WB	0.052985
"news service"	0.0529129
"Macao Daily News"	0.0528975
"Le Monde"	0.052873
"New Vision"	0.052715
Tanjug	0.0525495
"Denver Post"	0.0524841
Kyodo	0.0523834
Newsday	0.0523159
WAM	0.0521964
"New York Daily News"	0.0515696
"British Foreign Office"	0.0515456
"Cyprus News Agency"	0.0514112
"Jordan Times"	0.0512681
Enquirer	0.0510593
PAX	0.0510386
"San Jose Mercury News"	0.050763
"Arizona Republic"	0.050719
"Business Weekly"	0.0506672
"Detroit News"	0.050656
tabloid	0.0505795
"Human Rights Watch"	0.0504675
"Department of Health"	0.0503039
"Wall Street Journal"	0.0502271
"Daily Mail"	0.0499683
"History Channel"	0.0498149
"Cartoon Network"	0.0497869
"Nashville Network"	0.0497552
"The New Vision"	0.0497254
"Fox TV"	0.0497222
Tass	0.0496938
"Weather Channel"	0.0495001
"Gulf News"	0.049352
"Fox Sports"	0.0490266
MSG	0.049024
"New York Times"	0.0490059
"Fox News"	0.0488578
"Beijing Youth Daily"	0.0488114
"Daily Nation"	0.0487094
"Agence France-Presse"	0.0486654
"Wenhui Daily"	0.0486019
))
("Channel @@" (desc 5306.06) (sims
"Channel @"	0.184098
ESPN@	0.116358
TNT	0.0912311
C-Span	0.0877853
WGN	0.0865181
"Turner Classic Movies"	0.0855448
"TV station"	0.0827047
CNBC	0.0816902
"television station"	0.0810985
CBs	0.0806427
"Fox Sports Net"	0.0785462
TNN	0.0773409
affiliate	0.0771032
MSNBC	0.0765639
ABC	0.0757437
VH@	0.0755779
NTV	0.0754464
"Golf Channel"	0.0746943
"cable network"	0.0736447
ESPN	0.0733928
"TV network"	0.0733718
PBS	0.0718938
CNN	0.0716888
"Food Network"	0.0713416
WGBH	0.0710764
WMUR-TV	0.0701783
"cable television"	0.0671276
"National Public Radio"	0.0670694
"Discovery Channel"	0.0668626
Univision	0.0661253
MTV	0.0655142
Showtime	0.0646994
CBS-TV	0.0638919
ABS-CBN	0.0634898
HBO	0.0633494
"Nashville Network"	0.0621724
iTV	0.0619368
"news program"	0.0607628
"television news"	0.0603791
"radio station"	0.0598824
ORT	0.0576812
WSB	0.0576808
"television network"	0.0573007
"USA Network"	0.0570652
Kron	0.0568627
"History Channel"	0.0561183
"Fox TV"	0.0558349
pay-per-view	0.0555304
MSG	0.0543136
"US District Court"	0.0541515
"Court TV"	0.0537647
"news show"	0.0537551
"Juilliard School"	0.0531647
BBC	0.0529432
"Night Football"	0.0525625
"Museum of Natural History"	0.0525185
ABC-TV	0.051962
"cable system"	0.051595
"China Central Television"	0.0515726
Inquirer	0.0514964
"British Broadcasting Corp."	0.0510786
Tb	0.0507451
"Fox Network"	0.0490259
"Mather Worldwide"	0.0483438
"Federal District Court"	0.0481303
"New York Post"	0.047227
CTV	0.0471751
"Christmas Day"	0.0469052
CCTV	0.0468302
Nickelodeon	0.0468049
newscast	0.0466092
RCN	0.0465042
"ABC News"	0.046436
ZDTV	0.0456635
UPN	0.0456154
Thursdays	0.0455046
"Hang Seng Bank"	0.0454783
NHK	0.0453807
"Liberty Media"	0.0451493
"main office"	0.0450686
"Radio Liberty"	0.0449791
"Metropolitan Opera"	0.0447795
newswoman	0.0446768
"Voice of America"	0.044611
"Dateline NBC"	0.0445662
"Daily News"	0.0437322
"Fox News Channel"	0.0436851
"Weather Channel"	0.0434106
"Good Morning America"	0.0432921
"Rockefeller University"	0.0432485
"Rockefeller Center"	0.0432398
CNNfn	0.0432354
"Mount Sinai Medical Center"	0.0430402
Newsday	0.0430395
"Daily Show"	0.0421879
"John F. Kennedy International Airport"	0.0420464
"Solomon R. Guggenheim Museum"	0.0419371
"closed circuit"	0.0415741
"American Jewish Committee"	0.0415692
"Freedom Forum"	0.0413206
TCI	0.0411696
"Comedy Central"	0.0410968
"CHARLOTTE STING"	0.0405289
"Cartoon Network"	0.0402786
WB	0.0401514
))
("Channel Islands" (desc 1427.5) (sims
"Cayman Islands"	0.110747
"Royal Navy"	0.0735887
"Queen Victoria"	0.0698215
"Mark Richardson"	0.0694232
"British Virgin Islands"	0.0634691
"San Joaquin Valley"	0.0633602
"Princess Anne"	0.062974
"Princess Margaret"	0.059818
"Royal Air Force"	0.0592733
"Royal Society"	0.0579064
"Civil Aviation Authority"	0.0575679
Sunnyvale	0.0559173
"Richard Burns"	0.0549819
Cupertino	0.0529468
Reston	0.0527214
FT-SE	0.0525297
Emeryville	0.0522471
"National Health Service"	0.0516287
crewmembers	0.0508782
"Labour Party"	0.0503095
"Home Secretary"	0.0500318
Burlingame	0.0493939
"Golden Gate Bridge"	0.049381
"Laura Davies"	0.0492336
"Kuril Islands"	0.0488508
"South San Francisco"	0.0487626
"Royal National Theater"	0.0479852
"Central Valley"	0.0475673
"Mojave Desert"	0.0465767
"Florida Keys"	0.0461093
"San Rafael"	0.0459863
"New Labor"	0.0459848
piloting	0.0458431
"Puget Sound"	0.0456134
"Research Triangle Park"	0.0454774
"Court of Appeal"	0.0441009
Kraus	0.0437702
"building society"	0.0432403
"navy yard"	0.0427985
"pirate ship"	0.0426866
"Football Association"	0.0425836
"Culver City"	0.0425571
Demutualization	0.0425183
Herndon	0.0424465
"Westlake Village"	0.0420102
talkie	0.0419263
"Redwood City"	0.0413033
Hopkinton	0.0412401
"Cambridge University"	0.0410905
"treasure chest"	0.0410804
"Canary Islands"	0.0410726
"Georges Bank"	0.041033
"High Commission"	0.0409859
"Monetary Policy Committee"	0.0407122
Bakersfield	0.0403051
))
(chant (desc 22133.7) (sims
shout	0.174629
cheer	0.166167
applause	0.150326
boo	0.144396
roar	0.12793
chanting	0.121939
jeer	0.121502
laughter	0.113916
ovation	0.110925
chorus	0.109931
whoop	0.107458
"standing ovation"	0.105731
cry	0.100334
catcall	0.0978552
taunt	0.0946362
scream	0.092897
hymn	0.0892149
Song	0.0865932
groan	0.0835704
whistle	0.0816049
"folk song"	0.0806578
salute	0.0801582
wail	0.0754797
slogan	0.0732399
music	0.0719853
singing	0.0709445
howl	0.0704685
refrain	0.0704305
rendition	0.0701509
noise	0.0691968
melody	0.0673299
prayer	0.0663212
anthem	0.0658612
phrase	0.0655475
drumming	0.0648883
amen	0.0643412
epithet	0.0640231
drum	0.0634456
tune	0.0634359
outburst	0.0629186
"national anthem"	0.0628914
derision	0.0625999
"folk dance"	0.0621008
jingle	0.0618338
dirge	0.0618295
lyric	0.0614652
Siren	0.0605472
verse	0.0601607
shouting	0.0590685
"church bell"	0.058751
gunfire	0.0587362
fife	0.0587051
shriek	0.058571
burst	0.0583821
gasp	0.0583294
chuckle	0.0583265
banner	0.0582801
denunciation	0.0577262
sob	0.0571079
outpouring	0.0570947
squeal	0.0565674
bagpipe	0.0562275
rhetoric	0.0561679
ballad	0.0556931
Lullaby	0.0551898
mantra	0.0551019
rumble	0.0549543
riff	0.054602
poetry	0.0543825
drumbeat	0.0542474
Aria	0.0540432
firework	0.0540105
recitation	0.0537577
dancing	0.0537496
sigh	0.0536207
proverb	0.0534561
clapping	0.0533472
rhythm	0.0531207
criticism	0.0522294
joke	0.0518499
sermon	0.0516373
murmur	0.0516353
ritual	0.0512108
silence	0.0509678
celebration	0.0507157
rhyme	0.0505479
YAWN	0.0503998
lament	0.0503286
tirade	0.0501081
samba	0.0499717
insult	0.0492523
"Christmas carol"	0.0490066
obscenity	0.0490054
gesture	0.0486357
thud	0.0483437
"folk music"	0.0483264
yelling	0.0480928
chatter	0.0476754
expression	0.0476568
Horn	0.0476501
barrage	0.0474349
hoot	0.0474154
procession	0.0473908
skit	0.0472833
tale	0.0472052
slur	0.0471083
liturgy	0.0468586
adulation	0.0467058
expletive	0.0466239
whisper	0.0465078
theme	0.0463711
guitar	0.0463339
profanity	0.0462872
outrage	0.0462074
ditty	0.0461097
thunder	0.0458171
vocals	0.0457518
gunshot	0.045749
frenzy	0.0457366
rite	0.0456267
buzz	0.045405
platitude	0.0453902
worship	0.0449649
poem	0.0449272
cadence	0.0448637
invective	0.0447026
grin	0.0444777
cliche	0.0443784
condemnation	0.0443567
choir	0.0441578
beep	0.0438865
excitement	0.0438752
fervor	0.0436163
cacophony	0.0434141
rant	0.0432036
Din	0.0431736
opera	0.0429956
chord	0.0428757
clowning	0.0428172
objection	0.0427382
"dance music"	0.0425292
nickname	0.0424719
clamor	0.0424147
poster	0.0423164
narration	0.0420658
outcry	0.0420502
meditation	0.0420319
fanfare	0.0418976
fury	0.0418918
sentiment	0.0416035
rage	0.0415489
demonstration	0.0414949
syllable	0.0410034
enthusiasm	0.0409319
imagery	0.04077
throng	0.0406955
"theme song"	0.0404981
banter	0.040478
exhortation	0.0404669
"sound effect"	0.0404655
explosion	0.0402766
))
(chanterelle (desc 2972.16) (sims
porcini	0.192275
morel	0.151664
"shiitake mushroom"	0.134985
mushroom	0.129335
"pork loin"	0.123224
shallot	0.120258
spinach	0.116714
"pork tenderloin"	0.10942
tortellini	0.108871
asparagus	0.108745
chard	0.10835
eggplant	0.0997218
hedgehog	0.0987306
chervil	0.0983122
"green bean"	0.0978528
leek	0.0974197
RHUBARB	0.095217
Garlic	0.0951861
"red onion"	0.0930326
"Swiss chard"	0.091814
tarragon	0.0917959
zucchini	0.0908857
mozzarella	0.0899528
frisee	0.0898995
pancetta	0.0895113
chilies	0.0892054
onion	0.088571
Basil	0.0847176
carrot	0.0845187
okra	0.0844303
"sweet potato"	0.0827857
"cream sauce"	0.0827703
beet	0.0825454
cilantro	0.0824183
"black bean"	0.0819225
"chicken broth"	0.080054
fettuccine	0.0799969
tomato	0.0797831
"coconut milk"	0.0790179
parsley	0.0786537
artichoke	0.0785323
breadcrumb	0.0784639
"red pepper"	0.0773139
raspberry	0.076989
linguine	0.0768021
scallion	0.0765734
chive	0.0756735
cucumber	0.0749522
scallop	0.074317
"bean sprout"	0.0743136
Masa	0.0732386
pea	0.0728491
mussel	0.0722626
rosemary	0.0721722
cabbage	0.0719775
"beef tenderloin"	0.0719047
sauerkraut	0.0716184
calamari	0.0711668
meringue	0.0708704
"snow pea"	0.0706754
jalapeno	0.0704862
tofu	0.0697322
POTATOES	0.0695375
"bok choy"	0.0692523
arugula	0.0688904
horseradish	0.0680596
butter	0.0674789
"bell pepper"	0.067223
"cottage cheese"	0.0671955
"brussels sprout"	0.0671703
noodle	0.0669056
anchovy	0.0666745
fennel	0.0666098
pumpkin	0.0665175
"garlic clove"	0.0655799
glaze	0.0653454
Sorrel	0.0652363
squid	0.0651956
"foie gras"	0.0651313
"pumpkin seed"	0.0647777
cauliflower	0.0642609
"bay leaf"	0.0640869
thyme	0.0638996
sausage	0.0638984
Collard	0.0636865
"lime juice"	0.0636126
Parmigiano-Reggiano	0.0627708
cutlet	0.062562
bacon	0.0621475
turnip	0.0620867
Calvados	0.061946
watercress	0.0618411
"heavy cream"	0.0618283
truffle	0.0614706
"green onion"	0.0612663
saffron	0.0612034
"ground beef"	0.0610482
ricotta	0.0609924
pineapple	0.0608973
"grated cheese"	0.0608944
miso	0.0607213
"cheddar cheese"	0.0606755
"sour cream"	0.0605119
pasta	0.0604673
cantaloupe	0.0602773
radish	0.0597195
"blue cheese"	0.059686
eel	0.0595838
raisin	0.0594755
"egg yolk"	0.0594629
"chicken breast"	0.0593708
Broccoli	0.0593346
ginger	0.0592904
Kale	0.0592323
"smoked salmon"	0.0592055
peach	0.0584811
celery	0.0584772
pesto	0.0581703
"cream cheese"	0.0580397
halibut	0.0579924
savory	0.0579053
mustard	0.0576054
buttermilk	0.0573421
cider	0.057281
"lemon juice"	0.0571022
gelatin	0.0570886
ham	0.0570792
chevre	0.0569606
peppercorn	0.0568143
"wild rice"	0.0564437
"black olive"	0.0561176
lemon	0.0559105
"sweet corn"	0.0558294
fig	0.0556576
lobster	0.0556022
Chianti	0.0553616
"cherry tomato"	0.0552113
tomatillo	0.0550773
turbot	0.055007
"pineapple juice"	0.0549656
cranberry	0.0549641
"bittersweet chocolate"	0.0549308
crumb	0.0548081
lentil	0.0547861
"lemon zest"	0.0546246
"brown sugar"	0.0543508
pork	0.0543144
"tomato sauce"	0.0540474
walnut	0.053818
"green pepper"	0.0538089
veggie	0.0534829
clam	0.0534247
crawfish	0.0530729
Cheddar	0.0530267
tortilla	0.0528095
pecan	0.0525251
mesclun	0.0519488
mango	0.0516825
spaghetti	0.0516665
"olive oil"	0.0513336
mayonnaise	0.0513063
puree	0.0512173
"rack of lamb"	0.051156
"scrambled egg"	0.0510852
chiles	0.0508452
crab	0.0508159
lime	0.0506965
Endive	0.0504503
"evaporated milk"	0.0498819
"roast beef"	0.0497437
pear	0.0496839
fillet	0.0496088
dill	0.0495982
broth	0.0495156
polenta	0.0493871
"king salmon"	0.0492593
tapioca	0.0490077
"cumin seed"	0.0489513
Parmesan	0.0488566
veal	0.0487503
vinegar	0.0486656
"chicken stock"	0.0485597
"water chestnut"	0.0484299
"vanilla bean"	0.0483325
"goat cheese"	0.0478005
"fava bean"	0.0477966
plantain	0.0476707
"sea urchin"	0.0476632
"wine vinegar"	0.0476429
Chickpea	0.0473952
"string bean"	0.0467124
marinade	0.0466222
ravioli	0.0464013
chorizo	0.0462592
confit	0.0461105
almond	0.0456135
gnocchi	0.0453507
jerky	0.0453347
apricot	0.0452106
kernel	0.0450584
))
(chanteuse (desc 1479.01) (sims
vamp	0.0778433
"Diana Krall"	0.0709421
nobleman	0.0690805
singer-songwriter	0.0676968
trumpeter	0.0654567
sextet	0.0648522
bassist	0.0610479
vocalist	0.0593427
"guitar player"	0.0583498
saxophonist	0.0575352
writer-director	0.0569121
bandleader	0.0553439
portraitist	0.0548694
impresario	0.0532199
temptress	0.0509129
stylings	0.0505854
"sea captain"	0.0504003
"Herbie Hancock"	0.0503999
classicist	0.0500882
musicologist	0.0494804
clarinetist	0.0491878
trapper	0.0485029
"television star"	0.0480343
bluesman	0.0474455
"disc jockey"	0.046763
demimonde	0.0457313
clergyman	0.0430897
yachtsman	0.0429924
monde	0.0428347
"costume designer"	0.0418175
"secret agent"	0.0414732
ex-convict	0.0413766
Brasserie	0.04133
"rock group"	0.0407055
))
(chanting (desc 11435.6) (sims
shouting	0.137432
chant	0.121939
yelling	0.102488
"flag waving"	0.101946
weeping	0.0713912
clapping	0.0695755
singing	0.0637358
dancing	0.053791
drumming	0.0531093
"up to @@,@@@"	0.0510893
applause	0.0491923
picketers	0.0488831
sobbing	0.0482837
"nearly @,@@@"	0.0470923
demonstrator	0.0465057
bagpipe	0.0464321
slogan	0.0460785
recitation	0.0459074
whistle	0.0458344
wailing	0.0444656
Cuban-Americans	0.0436241
preaching	0.043364
fife	0.0431255
Siren	0.0423246
"national anthem"	0.0417137
hammering	0.0417003
"up to @,@@@"	0.0411034
well-wisher	0.0410427
"two dozen"	0.0403778
onlooker	0.0403459
diehard	0.0402298
heckler	0.0401308
))
(Chao (desc 845.943) (sims
Rong	0.126893
Siazon	0.124829
Cui	0.121012
Ruehe	0.114267
Fleischer	0.113864
Allard	0.111186
Advani	0.108901
Flanagan	0.108727
Mullinax	0.108672
Guan	0.106994
Heinrichs	0.105416
Singson	0.103807
Jovanovic	0.103637
Rossotti	0.103049
Sha	0.102257
Conroy	0.100711
Troussier	0.099867
Braswell	0.0989963
Gerstner	0.0972304
Goossen	0.0970227
Sheng	0.0959569
Rothenberg	0.0959204
Sheehan	0.095604
Jin	0.095043
Mendez	0.0933457
Wenger	0.0932754
Paxon	0.0931145
Vance	0.0920671
Zhong	0.0920353
Prewitt	0.0918849
Aguirre	0.0918633
Diouf	0.0915762
Finkel	0.0914872
Summitt	0.091285
Velayati	0.0909631
Lehane	0.0909586
Passarella	0.0908237
Echols	0.0907219
Solis	0.0905082
Milbury	0.0902534
Babcock	0.0901967
McDonnell	0.0901079
Jayakumar	0.0892091
Sorensen	0.0889179
HELLER	0.0888993
Kasoulides	0.0888843
Wu	0.0879107
Kyprianou	0.0876235
Okada	0.0874899
Laudrup	0.087469
Moonves	0.0870888
Skiles	0.0865477
Bolger	0.0865182
Verney	0.0857709
Insulza	0.0853396
Clements	0.0852082
Marineau	0.0845907
Azizah	0.0841459
Piot	0.0837897
Naumann	0.0833859
Inman	0.0833637
Malu	0.0832948
Kessler	0.0832724
Meissner	0.0831945
Lipponen	0.0829655
Nasser	0.0829326
Burleigh	0.0829236
Farber	0.0828858
Halberstam	0.082664
bock	0.0824532
Reiner	0.0824234
Klima	0.0821433
Devine	0.0820709
Farrell	0.0814935
Husseini	0.0813429
Marinovich	0.0811209
Grasso	0.0809464
Grunwald	0.0809352
Geiger	0.079809
Keenan	0.0793158
Feuer	0.0793013
Hanna	0.079025
Zucker	0.0789048
Hauser	0.0787585
O'Malley	0.0787289
Hayden	0.0785772
Pustovoitenko	0.0785316
Bliley	0.0783805
Halloran	0.0783492
Mello	0.0779777
Qin	0.0779366
Bronfman	0.0778599
Vogel	0.0777284
Hybl	0.0776901
Greenwald	0.0776629
Aventajado	0.0776031
Rosenblatt	0.0774718
Schuerholz	0.0773851
"British government"	0.0773486
"administration official"	0.077158
Erving	0.0771093
Mohr	0.0770948
"Nihon Keizai"	0.077067
Sharansky	0.0770285
McCurry	0.0769918
Hao	0.0768317
Rosenthal	0.0767681
Huizenga	0.0765447
Eizenstat	0.0765354
Maslyukov	0.0762758
Finney	0.0760891
"de Charette"	0.075958
Lockyer	0.075707
Guerra	0.0756338
Shevardnadze	0.0756082
Manley	0.0754665
Sensenbrenner	0.0752975
Elliot	0.0752859
Ka-shing	0.0751236
Condit	0.0751181
Hirst	0.0751023
Ikeda	0.0750952
Patel	0.0749751
Storin	0.0749672
Horner	0.0748708
Coen	0.0747712
Jobe	0.0747384
Cai	0.0746924
Snowe	0.0746076
Borges	0.0745435
Cline	0.0744252
Satcher	0.0743983
Contra	0.074382
Chadwick	0.0743422
Briscoe	0.0743116
Barros	0.0742093
Cowan	0.0742007
Zheng	0.074036
Rollins	0.0739934
"Consumer Product Safety Commission"	0.0739396
Xiang	0.0738798
Guthridge	0.0738438
LaPierre	0.07376
Rosen	0.0737061
Hiddink	0.073645
Koskinen	0.0734117
Severino	0.0733252
Valenti	0.0732507
Padilla	0.0732467
Sergeyev	0.073137
Lim	0.073055
Meguid	0.0730478
Xi	0.072959
Vollebaek	0.0729402
Fuentes	0.0729182
Rongen	0.0728866
Hirschbeck	0.0727168
Ackerman	0.0726767
Neff	0.0726691
Solich	0.0726314
Coffey	0.072582
Bratton	0.0725575
Kern	0.0724214
Alderson	0.0723982
Contreras	0.0722365
McInnis	0.072224
Rubenstein	0.0721345
Kirby	0.0720508
Weldon	0.0718637
Belo	0.0718614
Guterres	0.0718037
Venables	0.0716101
"Illinois Republican"	0.0715734
Barrie	0.0715527
Jing	0.0715363
Lange	0.0715095
Larson	0.0713467
Ruggiero	0.071191
Wolfensohn	0.071089
Zambrano	0.0710498
Newell	0.0710334
Lundberg	0.0709835
Juma	0.0708147
Engel	0.070757
Jager	0.0707442
Molinari	0.0706203
Moakley	0.0704929
Spadea	0.0704761
Morgenthau	0.0704669
Pruett	0.0703943
Dini	0.0703648
Monson	0.0703594
Cortines	0.0703462
Wolfson	0.0702497
Schultz	0.0701828
Almeida	0.0701104
Aleman	0.0700555
Edelstein	0.0700497
Sampaio	0.0698727
Sykes	0.0696617
))
(chaos (desc 62320) (sims
turmoil	0.197863
instability	0.180178
unrest	0.176553
anarchy	0.176485
confusion	0.163435
recession	0.158874
upheaval	0.15617
violence	0.144237
bloodshed	0.141373
lawlessness	0.140993
crisis	0.140188
uncertainty	0.139836
strife	0.137925
catastrophe	0.13606
panic	0.134923
famine	0.134777
disaster	0.133181
turbulence	0.131865
"economic crisis"	0.131412
tension	0.131017
mayhem	0.129993
crises	0.129209
disruption	0.127128
conflict	0.12561
misery	0.12441
hardship	0.124321
tragedy	0.122158
poverty	0.118737
collapse	0.117568
terror	0.116894
devastation	0.114525
confrontation	0.114204
trouble	0.111958
carnage	0.111951
insecurity	0.111652
meltdown	0.111286
despair	0.110591
difficulty	0.110566
Depression	0.109837
shortage	0.109791
disarray	0.109577
"civil war"	0.109493
gridlock	0.107232
isolation	0.106597
riot	0.105777
downturn	0.104949
epidemic	0.104591
horror	0.104186
controversy	0.103991
destruction	0.103776
calamity	0.103306
anxiety	0.102102
slowdown	0.102025
mess	0.100795
war	0.100735
pandemonium	0.100279
paralysis	0.100182
rioting	0.100101
volatility	0.0996936
tumult	0.0978065
scandal	0.0977351
stagnation	0.0962315
madness	0.0961751
hyperinflation	0.0961644
slump	0.0957331
breakdown	0.0949275
situation	0.0944206
drought	0.0943471
danger	0.0941139
woe	0.0939597
fear	0.0938765
starvation	0.0936772
frustration	0.0932514
corruption	0.0932372
problem	0.0928658
malaise	0.0918694
"traffic jam"	0.0915609
hostility	0.09155
suffering	0.0914353
Distress	0.0914021
trauma	0.0912106
disturbance	0.0902446
warfare	0.0899913
clash	0.0895531
stress	0.0895266
degradation	0.088808
shock	0.0885594
looting	0.0882455
deterioration	0.0880276
explosion	0.0879681
dislocation	0.0878001
decline	0.0877448
disintegration	0.0875516
change	0.0873724
flood	0.087329
darkness	0.0872414
congestion	0.0871662
bankruptcy	0.0870531
nightmare	0.0869417
bloodbath	0.0863664
crunch	0.0860584
blackout	0.0855789
gloom	0.0854819
weakness	0.0854307
frenzy	0.0850193
shutdown	0.0844727
delay	0.0839491
stalemate	0.0839466
embarrassment	0.0835611
discord	0.0835268
hysteria	0.083466
fighting	0.0833648
disorder	0.0833028
failure	0.0832476
destabilization	0.0822198
unemployment	0.0820414
backlash	0.0819567
rebellion	0.0819322
terrorism	0.0815109
abyss	0.0814253
Bedlam	0.0811522
hunger	0.0808686
grief	0.080633
struggle	0.0806222
"power failure"	0.080527
pain	0.0803226
excitement	0.0802902
repression	0.0802795
desperation	0.0801832
maelstrom	0.0800545
agony	0.0796148
deprivation	0.0794304
hatred	0.0793938
havoc	0.0793651
outbreak	0.0793533
glitch	0.078081
layoff	0.0780751
accident	0.0779985
loss	0.0777204
mistrust	0.0775968
uproar	0.0773922
anger	0.0773529
wave	0.0768567
decay	0.0768011
euphoria	0.0765226
anguish	0.0764551
friction	0.0762486
pollution	0.0762367
Haze	0.0757767
misunderstanding	0.0756228
ruin	0.0755047
bickering	0.0751357
protest	0.0750305
"arms race"	0.0749608
reality	0.0746812
contagion	0.0746677
inflation	0.0746535
devaluation	0.0746363
quagmire	0.0744862
fallout	0.0743789
fire	0.0743686
attack	0.0740944
outages	0.0737181
weather	0.0735359
coup	0.073468
storm	0.0731018
escalation	0.0729901
strike	0.0729894
humiliation	0.072825
deadlock	0.0727692
inconvenience	0.0726926
bitterness	0.0726063
insolvency	0.0724019
noise	0.0723355
pressure	0.0721407
abuse	0.0718884
firestorm	0.0718104
demonstration	0.0714874
oppression	0.0713
rivalry	0.0712941
surge	0.0712771
apathy	0.0712554
battle	0.0712195
cynicism	0.0709956
commotion	0.0709176
eruption	0.070896
emotion	0.0708236
morass	0.0708104
exodus	0.0708012
divisiveness	0.0707346
intrigue	0.0707142
injustice	0.0706975
speculation	0.0706588
jitters	0.0706159
consequence	0.0703726
peril	0.0703582
threat	0.0703515
incident	0.0702363
discontent	0.0702288
impasse	0.0699814
))
(chap (desc 4452.63) (sims
"mink coat"	0.0954286
bloke	0.0933911
legging	0.0923218
"boxing glove"	0.0910876
"cowboy hat"	0.0876892
mitten	0.0854431
"trench coat"	0.0846622
fella	0.0831142
knickers	0.0827199
overcoat	0.0823321
raincoat	0.0759366
STETSON	0.0745868
"leather jacket"	0.0744861
sunglasses	0.0737417
"tennis shoe"	0.0733304
"belt buckle"	0.073017
tights	0.0728634
corset	0.0723689
Englishman	0.0712799
Irishman	0.0711037
pant	0.0703542
loafer	0.0698788
"cowboy boot"	0.0693468
pantsuit	0.067765
vest	0.0672269
"evening bag"	0.0670386
miniskirt	0.0670227
"young lady"	0.0658367
nobleman	0.0657922
"hard hat"	0.0657286
gentleman	0.0656598
Thong	0.0654513
duster	0.0649602
"ski mask"	0.064323
"running shoe"	0.0633159
miniskirts	0.0630127
trouser	0.0625663
"feather boa"	0.0620358
"Labrador retriever"	0.0618356
windbreaker	0.0612329
G-string	0.0604386
sandal	0.0602688
dude	0.0601262
lad	0.0600842
poodle	0.0598249
banger	0.059762
"rubber boot"	0.0595507
"name tag"	0.059524
Poncho	0.059047
sock	0.0586229
jumpsuit	0.0577172
patrolman	0.0576316
holster	0.0574477
gal	0.0573479
magician	0.0570357
pug	0.0567645
sneaker	0.0565575
bellbottoms	0.0564578
suspender	0.0562814
blinder	0.0559461
underpants	0.0555644
"top hat"	0.0550749
"polo shirt"	0.0545275
pullover	0.0545196
"baseball cap"	0.0544731
pantyhose	0.05447
"bow tie"	0.054382
wristband	0.0539991
lawnmower	0.0538177
"foreign service officer"	0.0535851
"bowler hat"	0.053515
"blue jean"	0.0535095
"felt hat"	0.0534718
doer	0.053409
sweater	0.0533334
puppy	0.0530988
slipper	0.053006
Pantsuits	0.0529227
coverall	0.0528273
"Little Dog"	0.0520248
apron	0.0519963
Cape	0.051697
beret	0.0513619
fedora	0.0512576
"hockey player"	0.0512415
"sport shirt"	0.0511361
Brit	0.0509766
GENT	0.0509147
ex-convict	0.0504266
"hot pants"	0.0503348
handbag	0.0500529
scarf	0.0498185
corporal	0.0498153
comedian	0.049574
armband	0.0495475
desperado	0.049443
sweatshirt	0.0494287
Everyman	0.0493173
visor	0.0491306
slack	0.0489522
Frenchman	0.0489337
armchair	0.0487935
"little boy"	0.0487707
bikini	0.0485299
bandana	0.0485026
caftan	0.0484709
spinster	0.0481697
mule	0.04805
plumber	0.0480367
dilettante	0.0480029
Midwesterner	0.0478985
shawl	0.0477286
"house painter"	0.0474224
Bonnet	0.047196
clown	0.0470112
ex-Marine	0.0465659
watchman	0.0465218
Englishwoman	0.0464366
bluejeans	0.0463111
capris	0.0462976
"blind man"	0.0462689
moron	0.0462439
hippie	0.0461902
pants	0.0459714
sunscreen	0.0458767
ex-con	0.0458658
"piece of cloth"	0.0458243
frock	0.0458111
goggles	0.0457155
bandanna	0.0456355
corduroy	0.0456163
"fur coat"	0.0455948
Gi	0.045534
turtleneck	0.0453201
mustache	0.0452973
"stiletto heel"	0.0452371
parka	0.0450745
drifter	0.0447623
headband	0.0447432
"period piece"	0.044677
halter	0.0445072
rascal	0.0444215
yarmulke	0.0443504
"bucket seat"	0.0443192
ogre	0.0442939
"black person"	0.0442661
panty	0.0440628
"guardian angel"	0.0440429
outdoorsman	0.044005
tomboy	0.0439829
"lounge chair"	0.0439788
panhandler	0.0439673
clergyman	0.0439352
"pocket watch"	0.0439074
psychopath	0.043852
sheath	0.0437353
"parlor game"	0.0436883
"con artist"	0.0436644
"robbery suspect"	0.0436322
"police sergeant"	0.043631
satchel	0.043625
biker	0.0435659
critter	0.0435038
getup	0.0435028
tunic	0.043486
"wise guy"	0.0434757
geezer	0.0434656
"traffic cop"	0.0434651
"black tie"	0.043454
hairdo	0.0433971
hand-me-down	0.0433834
"bowling ball"	0.043346
lass	0.043277
"dark glasses"	0.043239
Ghanaian	0.0431577
bustier	0.0431418
Vixen	0.0431093
"medical student"	0.0430932
Philanderer	0.0430629
supplicant	0.0429566
terrier	0.0429088
"law student"	0.0428455
"storm trooper"	0.042686
linoleum	0.0426748
Caddy	0.0425697
"young girl"	0.0424726
braid	0.0424608
"black woman"	0.0424463
bellhop	0.0424284
fisherman	0.042295
Labrador	0.0422341
"eye doctor"	0.0421706
"first-aid kit"	0.0421345
popsicle	0.0421117
khaki	0.0420074
handyman	0.0419673
womanizer	0.0419632
craftsman	0.0419344
hairdresser	0.0417265
trousers	0.0417112
))
(chaparral (desc 1320.88) (sims
undergrowth	0.126273
underbrush	0.10873
savanna	0.0985439
pasture	0.0849697
sagebrush	0.0822013
marshland	0.0821869
pastureland	0.0724993
rhododendron	0.06852
grassland	0.0659106
vegetation	0.0656289
shrubbery	0.0651929
meadow	0.064549
prairie	0.0634836
"kerosene lamp"	0.0627896
woodland	0.0623389
flatlands	0.0603018
goldenrod	0.0596425
ragweed	0.05962
Wetland	0.0592979
rainforest	0.0583683
"dairy farm"	0.0573168
moonscape	0.0569317
Badlands	0.0557078
spruce	0.0556991
"New Covenant"	0.054931
sawgrass	0.053034
Rockdale	0.0521126
"death tax"	0.0518389
putty	0.0492194
oxen	0.0484192
Juniper	0.0470853
riverbed	0.0470617
oleander	0.0463075
fescue	0.046002
"blind spot"	0.04599
eraser	0.0457936
"tropical rain forest"	0.0455668
Thirty-four	0.0455272
"ground cover"	0.0454397
honeycomb	0.0454142
"sense of shame"	0.0449824
Harmon	0.0449659
"Hill Country"	0.0448857
wildflower	0.0447576
"open-air market"	0.0447275
crag	0.0446575
"douglas fir"	0.0443505
mitochondria	0.0443036
med	0.0440107
"chicken coop"	0.0439021
tumbleweed	0.0435772
"woman's body"	0.0433824
"man's body"	0.0432723
moat	0.0431041
"Mojave Desert"	0.0428946
"sea breeze"	0.0426924
cornfield	0.0424522
manhole	0.0421791
gully	0.0420062
"sand dune"	0.0417541
cottonwood	0.0417372
Kermit	0.0412237
"sea lane"	0.0409534
"tea leaf"	0.0408624
"black-eyed Susan"	0.0406756
incantation	0.0403855
"steam locomotive"	0.0403619
))
(chapel (desc 26917.4) (sims
Cathedral	0.150574
church	0.143542
mosque	0.127169
synagogue	0.124191
Basilica	0.12173
auditorium	0.119669
gymnasium	0.115881
Monastery	0.113218
temple	0.110565
cemetery	0.106499
shrine	0.104178
courtyard	0.102738
hall	0.0990264
plaza	0.0985468
sanctuary	0.0981757
tomb	0.0953319
palace	0.0951888
altar	0.095154
amphitheater	0.0951106
building	0.0932395
library	0.0925857
Castle	0.0922039
museum	0.0888819
"conference room"	0.088843
gallery	0.0862973
room	0.0857804
schoolhouse	0.0854527
cottage	0.0854271
cafe	0.0847454
garden	0.0841774
ballroom	0.0839452
gym	0.0839
"office building"	0.0833651
hut	0.0832249
farmhouse	0.0831653
square	0.0831317
pagoda	0.0824937
cafeteria	0.0815362
dormitory	0.0809636
"dining room"	0.0809473
monument	0.0804084
cabin	0.0802563
Tower	0.0800005
courthouse	0.0794829
mansion	0.078947
garage	0.0785285
Warehouse	0.0781716
apartment	0.0779483
restaurant	0.0776716
Convent	0.0776144
hotel	0.0776128
atrium	0.0764874
rotunda	0.0764115
park	0.0761036
Villa	0.0760521
barn	0.0757982
pavilion	0.0757594
"dance hall"	0.0753258
hangar	0.0750384
mausoleum	0.0748859
classroom	0.0747199
bungalow	0.0745352
"living room"	0.074492
residence	0.0741942
grotto	0.0741893
theater	0.0740741
bedroom	0.0739099
"community center"	0.0736859
shop	0.0735732
cave	0.072477
memorial	0.0724431
Fort	0.0724336
barrack	0.072359
studio	0.0722391
"town hall"	0.0717557
basement	0.0712246
compound	0.0710596
statue	0.0710116
dwelling	0.0707343
lodge	0.070689
foyer	0.0705154
cubicle	0.070315
inn	0.070067
complex	0.0699601
"swimming pool"	0.0698593
hallway	0.0697562
"opera house"	0.0696616
"concert hall"	0.0696399
lounge	0.069521
kitchen	0.0693951
sculpture	0.0692831
"parking lot"	0.0691916
"art gallery"	0.0683938
"apartment building"	0.0683315
"place of worship"	0.068136
stadium	0.0681309
"post office"	0.0680776
shelter	0.0678165
storefront	0.0677958
clinic	0.0675947
ruin	0.0674661
lobby	0.0671752
parlor	0.0670661
pub	0.0670511
bathroom	0.0670025
tent	0.0669744
courtroom	0.0666925
"movie theater"	0.0664217
shack	0.0663546
"city hall"	0.0661988
Crypt	0.0659361
balcony	0.065277
"shopping center"	0.0647915
fortress	0.0646877
"St. Peter"	0.0643669
landmark	0.0641515
spire	0.0641314
dorm	0.0637304
facade	0.0634456
chamber	0.0632185
fountain	0.0631957
gate	0.0627796
Dome	0.0627423
abbey	0.0623187
"stained glass"	0.0622621
edifice	0.0621859
hospital	0.0619215
"gift shop"	0.0618964
terrace	0.0614599
tavern	0.0613349
booth	0.0611147
bar	0.0609893
playground	0.060909
arch	0.0606569
graveyard	0.0605406
village	0.0598958
bookstore	0.0596149
patio	0.059429
"funeral home"	0.0594142
"exhibition hall"	0.0593845
mall	0.0592745
tunnel	0.0591661
Grave	0.0591371
"house of worship"	0.0590805
arena	0.0590581
cellblock	0.0586992
Capitol	0.0583228
"church service"	0.057826
"conference center"	0.0578178
archway	0.0573907
alcove	0.0573833
wall	0.0572722
nave	0.0569219
terminal	0.0568757
pew	0.0568508
elevator	0.0567123
aquarium	0.0566527
trailer	0.0563844
planetarium	0.0561352
"shopping mall"	0.0559465
kiosk	0.0558105
coffin	0.0557888
cloister	0.0554165
"train station"	0.0549366
congregation	0.0548693
"police station"	0.0548586
seminary	0.0548196
restroom	0.0546471
"religious order"	0.054642
"elementary school"	0.054623
SPA	0.0546159
staircase	0.0545783
"wine cellar"	0.0544968
hostel	0.0544548
"Union Station"	0.0544298
"sitting room"	0.0543398
fireplace	0.0543194
pyramid	0.0541913
"locker room"	0.0537636
"row house"	0.0536477
loft	0.0535919
structure	0.0533194
orphanage	0.0531211
nightclub	0.0530888
suite	0.0529324
"waiting room"	0.0528098
Chateau	0.052631
campus	0.0525929
motel	0.0523659
rink	0.0523379
entrance	0.0523047
"reception room"	0.0520635
"apartment house"	0.0520056
"subway station"	0.0520039
sarcophagus	0.0519463
Lighthouse	0.0518941
Casino	0.0518912
"fire station"	0.0518493
factory	0.0517718
headquarter	0.0517617
))
("Chapel Hill" (desc 4342.58) (sims
"Research Triangle Park"	0.175557
Greensboro	0.175515
Winston-Salem	0.15236
Raleigh	0.142697
ASHEVILLE	0.127587
Wilmington	0.120228
Fayetteville	0.119906
"Rocky Mount"	0.116713
"High Point"	0.1167
"Palm Beach Gardens"	0.115777
"Camp LeJeune"	0.111427
Lawrenceville	0.107009
"Pitt County"	0.102751
Knoxville	0.101916
Eureka	0.101457
"East Orange"	0.101188
"Garden City"	0.100975
Bloomington	0.100256
Englewood	0.0996575
TARBORO	0.0987618
Durham	0.0987146
Greenville	0.0979109
Laramie	0.0962828
"Walnut Creek"	0.0950169
"Palo Alto"	0.0939086
"Ann Arbor"	0.0929128
Morristown	0.0922379
Pasadena	0.0918216
Amherst	0.0915475
Charlotte	0.0914843
TALLAHASSEE	0.0911907
Salisbury	0.0901258
"Overland Park"	0.0900223
Braintree	0.0892595
"Thousand Oaks"	0.0881613
"Fort Bragg"	0.0877723
Westfield	0.0876625
"Newport Beach"	0.0868511
LAKEWOOD	0.0865625
Medford	0.0863559
"West Orange"	0.0862583
Arlington	0.0860761
"West Palm Beach"	0.0859107
Chatham	0.0851053
Boise	0.0850102
Encino	0.0849283
Berkeley	0.0846337
Duluth	0.084349
"Westlake Village"	0.0842741
"Fort Lauderdale"	0.0841819
Concord	0.0841298
Chappaqua	0.0840928
Cupertino	0.0838618
Claremont	0.0832192
Paterson	0.0831317
Tampa	0.0830242
"Woodland Hills"	0.0829561
Americus	0.0828697
Williamstown	0.0828576
Yonkers	0.0823312
Pinehurst	0.0816334
Bethesda	0.0812777
Montclair	0.0807005
Smithfield	0.0802861
Wallingford	0.0801608
Evanston	0.0799475
"Cherry Hill"	0.0798571
Huntsville	0.0793066
"Union City"	0.0789331
Westport	0.0788425
Lexington	0.078744
Tucson	0.0786688
Princeville	0.0786091
"Oklahoma City"	0.0785245
"Fort Lee"	0.0782526
"Mountain View"	0.07818
"College Station"	0.0780967
Plano	0.0778025
"White Plains"	0.0774723
"New Haven"	0.0772163
Eugene	0.0771264
Guadalajara	0.0767666
Jasper	0.0767161
bethel	0.0767056
Galveston	0.0765109
Princeton	0.0764016
Carmel	0.0760139
"Vero Beach"	0.07587
Poughkeepsie	0.075773
Alpharetta	0.0751139
Gainesville	0.0750783
Spokane	0.0748005
"Manhattan Beach"	0.0746872
Decatur	0.0746122
Fresno	0.074442
Charleston	0.0740756
"Santa Fe"	0.0737417
Omaha	0.0736094
"South Bend"	0.0733829
"Round Rock"	0.0728061
"New London"	0.0727585
Scarsdale	0.0725682
Lubbock	0.0723517
"Delray Beach"	0.072256
Georgetown	0.0722444
"Ciudad Juarez"	0.0720543
midland	0.0719608
"Sherman Oaks"	0.0716343
"Santa Cruz"	0.0714697
Rochester	0.071421
Emeryville	0.0713129
Cambridge	0.0712947
Springfield	0.0712804
Tijuana	0.0712585
Augusta	0.0711976
Burlington	0.0711547
"East Lansing"	0.0711364
Albuquerque	0.0710134
Beaufort	0.0709984
"Boynton Beach"	0.0706987
MINEOLA	0.0705956
"Daytona Beach"	0.0705911
Columbus	0.0704176
Waltham	0.0703587
Provo	0.0701433
Marietta	0.0700786
Newark	0.0700224
Camden	0.0699507
Bensonhurst	0.0698478
Amarillo	0.0697939
"University of Rhode Island"	0.0697757
"Saratoga Springs"	0.0697702
"Little Rock"	0.0697257
anchorage	0.0696358
Sparta	0.0695932
Bloomfield	0.0695821
Redding	0.0692663
"Van Nuys"	0.0691979
"New Rochelle"	0.0691895
"Santa Barbara"	0.0691005
Akron	0.0688801
Tempe	0.0687286
Andover	0.0685849
"Fort Worth"	0.0685531
"Brooklyn Heights"	0.06845
Madison	0.0684231
Fairfield	0.068423
Worcester	0.0683409
Stamford	0.0683374
"University of North Carolina"	0.0683216
Hanover	0.0683177
"Cape Fear"	0.0682706
"St. Petersburg"	0.0682671
Nashville	0.0682063
Ridgewood	0.0681414
"San Fernando Valley"	0.0681287
Rockingham	0.0681223
"Coral Gables"	0.0681096
Bridgehampton	0.0679838
Glendale	0.0679151
Uniondale	0.0679086
"Culver City"	0.0676918
"Virginia Beach"	0.067605
Honolulu	0.0675589
Albany	0.0675276
"West Hollywood"	0.0674986
Carthage	0.0673912
Middletown	0.0673643
Ithaca	0.0673611
Hackensack	0.0671878
Utica	0.0671787
"Paradise Valley"	0.0670094
Tarrytown	0.0669856
Bellevue	0.0669817
Hempstead	0.0668792
"Fort Collins"	0.0667179
Kingston	0.0666855
"New Canaan"	0.0666161
"Boca Raton"	0.0665476
"Fort Myers"	0.0665443
Casper	0.0664819
Providence	0.0664629
Farmington	0.0663277
"Great Neck"	0.0663157
Falmouth	0.0663035
Xenia	0.0662095
Charlottesville	0.0661441
Chatsworth	0.0661136
Northampton	0.0660829
TRENTON	0.0658777
"University of Wyoming"	0.0658618
Heidelberg	0.0657009
"Santo Domingo"	0.065697
McLean	0.0656509
"Iowa City"	0.0656034
"Simi Valley"	0.065456
"Wichita Falls"	0.0654237
Brownsville	0.0654231
Dunwoody	0.0653095
Framingham	0.0652767
))
(chaperone (desc 1806.86) (sims
preteens	0.082808
tutor	0.0813419
"math teacher"	0.08107
schoolmate	0.080826
pallbearer	0.0807446
"traffic cop"	0.0765284
"altar boy"	0.0761994
caregiver	0.0743282
learner	0.0732266
headmaster	0.0707245
seminarian	0.0694682
translator	0.0685177
"safety valve"	0.068414
"shop assistant"	0.0675946
"boarding pass"	0.0670835
"day laborer"	0.0655605
"faculty member"	0.0648348
"bus driver"	0.0641662
"basketball coach"	0.0640711
"guardian angel"	0.0623212
"union representative"	0.0620963
"registered nurse"	0.0620034
guidepost	0.0617669
"fishing license"	0.0613866
masseuse	0.0596969
Deacon	0.0594866
"baseball coach"	0.0594144
caretaker	0.0591247
custodian	0.0590926
weatherman	0.058956
gadfly	0.0587606
rejoicing	0.057704
plumber	0.0571827
nuclei	0.0569665
skydiver	0.0566099
parachutist	0.0563554
salespeople	0.0562857
playmate	0.0559371
sixth-grader	0.0556298
babysitter	0.0556129
congregants	0.0554723
"legal guardian"	0.0550108
"social worker"	0.0546556
"little leaguer"	0.0546006
twentysomethings	0.0544557
"art director"	0.0543832
"school principal"	0.0543738
crewmembers	0.0541715
"birth parent"	0.0540273
"admission price"	0.0539296
nanny	0.0536623
medic	0.0535702
chauffeur	0.0534127
"good Samaritan"	0.0532981
cheerleader	0.0523433
"house guest"	0.0520387
downtime	0.0518727
beautician	0.0516567
"entertainment business"	0.0516243
batboy	0.0515533
kilt	0.0514399
adoptees	0.0509068
scriptwriter	0.0508586
go-between	0.0508576
housekeeper	0.0507252
enumerators	0.0506113
paralegal	0.0501568
"sounding board"	0.0501143
women	0.0500814
"foster child"	0.0499687
student-athletes	0.0498994
"staff officer"	0.0498964
"sparring partner"	0.0498565
townspeople	0.0497128
lifter	0.0496789
"ticket stub"	0.0496173
part-timer	0.049414
homemaker	0.0493088
sommelier	0.0491242
receptionist	0.0488605
hyphen	0.0487344
"piano lesson"	0.0486697
cinematographer	0.0486074
emcee	0.0485004
"softball game"	0.0484891
ghostwriter	0.0484656
"sports jacket"	0.0484445
"campaign adviser"	0.0484444
co-chairs	0.0484383
"front man"	0.0483915
"final exam"	0.0483429
"juvenile delinquent"	0.0482326
"Don Baylor"	0.0481011
organist	0.0480397
grown-up	0.0480105
masseur	0.047996
upperclassmen	0.0479298
lecturer	0.0476924
enrolment	0.047619
"census taker"	0.0475382
"television revenue"	0.0473084
caseworker	0.0471461
flashpoints	0.0470816
minder	0.0469551
corrective	0.0468888
preschoolers	0.0468793
"young lady"	0.0467574
"trade unionist"	0.0467295
perestroika	0.046705
oomph	0.0465818
accompanist	0.0464093
troubleshooter	0.0463889
"temporary worker"	0.0462808
"talent scout"	0.0462638
chalice	0.0462285
tanner	0.0462051
insulator	0.0461738
salesmen	0.046095
"school teacher"	0.0460619
crewmen	0.0459801
jogger	0.045749
mini-camp	0.0457471
gazebo	0.0455504
midwife	0.0455502
podiatrist	0.0454652
"staff sergeant"	0.0453962
"investment adviser"	0.045314
caddie	0.0452977
janitor	0.0452558
"office staff"	0.0450827
"community organizer"	0.0449828
tutorial	0.0448648
postgraduate	0.0448434
"National Guardsmen"	0.0448059
retinue	0.0447242
"art student"	0.0446567
"teaching method"	0.0446482
helper	0.0446271
surveyor	0.0446256
"foster parent"	0.0446169
lifeboat	0.0445747
sundial	0.0445664
molar	0.044544
trainee	0.0444928
dramatist	0.0444844
hairstylist	0.0444683
sitter	0.0444647
"clearing house"	0.0443884
linguist	0.0443128
"dramatic event"	0.0442725
bellbottoms	0.0442242
radiologist	0.044172
taskmaster	0.0440451
"reference book"	0.0439925
hairdresser	0.0439788
GPA	0.0439425
kindergartners	0.0438431
landscaper	0.0437467
troublemaker	0.0435202
bystander	0.0434195
bookkeeper	0.04337
"church member"	0.043304
specialities	0.0432629
teller	0.0432462
"physical therapist"	0.043212
Suzanne	0.0432096
becky	0.0431861
"fire drill"	0.0431611
cabby	0.0431392
"particle accelerator"	0.0431391
matron	0.0431284
evaluator	0.0431258
"intelligence officer"	0.0431213
"stage director"	0.0430645
"Bela Karolyi"	0.0430063
pickpocket	0.0429384
"white knight"	0.0429325
"naval officer"	0.0429322
copilot	0.0428874
"ground crew"	0.0428456
picnicker	0.0427561
Bubb	0.0426343
"battering ram"	0.0426266
earplugs	0.0425605
"art teacher"	0.0425078
"intelligence analyst"	0.0425031
picketers	0.042411
supermodels	0.0423987
"science teacher"	0.0423977
flamethrower	0.0423215
"air force officer"	0.0422998
psychoanalyst	0.0422973
watchman	0.0422765
Polgar	0.0422764
Prinosil	0.0421745
"Rich Brooks"	0.0421193
archivist	0.0421154
"music director"	0.0420435
"AIDS activist"	0.0419726
"five spot"	0.0419603
))
(chaplain (desc 13259.1) (sims
pastor	0.102541
counselor	0.0959062
bishop	0.092685
priest	0.0909199
rector	0.0888629
clergy	0.0884309
"social worker"	0.087957
psychologist	0.0858627
theologian	0.0846012
rabbi	0.0843219
Deacon	0.0835071
lecturer	0.0797964
"surgeon general"	0.0777877
CEC	0.0768194
nurse	0.0763057
clergyman	0.0758896
superintendent	0.0757898
psychiatrist	0.0756815
medic	0.0750654
administrator	0.074175
missionary	0.0740809
instructor	0.073965
Provost	0.0731048
Imam	0.0716634
chairmen	0.0715428
Archbishop	0.0712684
dean	0.0708347
treasurer	0.0694455
Ombudsman	0.0684629
"faculty member"	0.0682779
"public defender"	0.0671742
ensign	0.0669112
organist	0.0665365
prelate	0.0664916
Sergeant	0.0663807
physician	0.0662682
therapist	0.0659937
"intelligence officer"	0.0658528
preacher	0.0658308
coordinator	0.0653256
surgeon	0.065263
cantor	0.0651181
cleric	0.0650356
commander	0.0647944
volunteer	0.0647274
clerk	0.0644661
librarian	0.0642881
"presiding officer"	0.0639165
director-general	0.0636462
receptionist	0.0635523
"inspector general"	0.0633717
historian	0.0629544
conferees	0.0628721
"test pilot"	0.0628473
tutor	0.0627323
trustee	0.0627117
"chairman emeritus"	0.0622489
attache	0.0617307
evangelist	0.0615403
aviator	0.0615024
"lieutenant governor"	0.0613464
cadet	0.0612607
vice-president	0.0611604
clergymen	0.0611166
"religious leader"	0.0609642
Colonel	0.0608925
educator	0.0608187
nun	0.0608154
professor	0.0607405
"executive secretary"	0.0606892
"commander in chief"	0.0605433
"department head"	0.0604241
"intelligence analyst"	0.0600123
seminarian	0.0600074
"staff officer"	0.059885
infantryman	0.0598839
curator	0.0597839
anesthesiologist	0.0597683
advisor	0.0593089
archivist	0.0592641
assistant	0.058985
"lieutenant colonel"	0.0588033
reservist	0.0586206
enlistee	0.0584922
"chief operating officer"	0.0584424
Comptroller	0.0582011
firefighter	0.0580638
"chief of staff"	0.0580205
interpreter	0.0580106
"vice chancellor"	0.0578346
auditor	0.0577497
"medical officer"	0.0576983
liaison	0.0575926
psychotherapist	0.0572058
monk	0.0571574
Lieutenant	0.0570771
commissioner	0.0566632
veterinarian	0.0566209
"commanding officer"	0.0565655
"chief justice"	0.0565592
warden	0.0564496
"staff member"	0.0564171
informer	0.0564064
translator	0.0563846
corporal	0.0563714
scriptwriter	0.0562863
consultant	0.0562764
supervisor	0.0562662
Procurator	0.0557249
"solicitor general"	0.0557028
"church member"	0.0556423
Admiral	0.0556172
caretaker	0.0554377
"lieutenant general"	0.0553238
"general counsel"	0.0552011
"naval officer"	0.0549046
"board member"	0.0549007
"firing range"	0.0547113
meteorologist	0.054553
mediator	0.0541656
"registered nurse"	0.0541627
staffer	0.0541303
specialist	0.0541084
nutritionist	0.0540206
pontiff	0.0539123
naturalist	0.0538324
faculty	0.0535595
"foreign service officer"	0.053512
marshal	0.0533696
"deputy director"	0.0532501
spokesmen	0.0532296
"cabinet minister"	0.0530607
investigator	0.0527854
lifeguard	0.0526563
"chairman of the board"	0.0526284
"financial officer"	0.0525616
pharmacist	0.0522564
laureate	0.0520696
Chancellor	0.0520581
"graduate student"	0.0519536
technician	0.0518899
sociologist	0.0517353
trainer	0.0515752
"basketball coach"	0.0515282
"enlisted man"	0.0514991
"football coach"	0.0513625
recruiter	0.0513249
"music director"	0.0512802
chairperson	0.0511748
principal	0.0510488
statistician	0.0509577
"tax collector"	0.0508889
jurist	0.0506936
photographer	0.0504407
"Secretary of Defense"	0.0503785
pediatrician	0.0503425
congregation	0.0503357
accountant	0.0502749
"cabinet member"	0.0502033
scholar	0.0501164
speechwriter	0.050023
"school principal"	0.0499859
"brigadier general"	0.0498118
commandant	0.0497614
"executive officer"	0.0496834
"physical therapist"	0.0496471
welder	0.0494833
caddie	0.0494831
nanny	0.0494147
"math teacher"	0.0493907
CEO	0.0492976
bookkeeper	0.0492933
overseer	0.0491949
Magistrate	0.0489115
bellhop	0.0488969
"managing director"	0.0488223
worshipper	0.0486155
"union representative"	0.048572
"ethics committee"	0.048554
"majority leader"	0.0485503
paralegal	0.048536
parliamentarian	0.0485256
parishioner	0.0484834
"art director"	0.0484757
Secretary-General	0.048368
go-between	0.0483423
"army officer"	0.0483249
publicist	0.0482471
"chief financial officer"	0.0480536
stuntman	0.0480312
"deputy chairman"	0.0478286
"executive vice president"	0.0476764
Danforth	0.0476752
"law student"	0.0473475
spokesperson	0.0473376
"English teacher"	0.0472385
dispatcher	0.0471142
"staff sergeant"	0.0470793
"civil servant"	0.0470784
"security guard"	0.0469734
))
(Chaplin (desc 4227.61) (sims
"Charlie Chaplin"	0.0802302
Kurosawa	0.0788108
Zapruder	0.0782355
"Lethal Weapon"	0.0646387
Truffaut	0.0583168
"Alfred Hitchcock"	0.0566295
Almodovar	0.0565565
Harr	0.0562578
Leigh	0.0561175
Groening	0.0557669
"John Waters"	0.055117
"Frank Capra"	0.0550411
Wilder	0.0547799
Nabokov	0.05469
"Walt Disney"	0.0522987
Downey	0.0518822
"Billy Wilder"	0.0515555
Biggs	0.0506859
Betts	0.050366
Benigni	0.0500449
"Buster Keaton"	0.0500294
McEwan	0.049791
Schaeffer	0.0495842
Gorey	0.0493442
Hamlin	0.0491031
Wilde	0.0489896
Fellini	0.0489786
Farnsworth	0.048785
Pryor	0.0485512
DERSHOWITZ	0.048379
Baum	0.0481275
Vogel	0.0479554
Bonanno	0.0478909
Halberstam	0.0478671
Salinger	0.0475727
Spielberg	0.0475459
Solondz	0.0475372
Lindbergh	0.0468255
Theroux	0.0461997
Seuss	0.0458602
Howell	0.04574
"Lewis Carroll"	0.0454713
"Indiana Jones"	0.0453864
"Neil LaBute"	0.045209
"Woody Allen"	0.0450772
Namath	0.0449091
Hemingway	0.0446546
Rosen	0.0444084
Kurtz	0.0443153
Cusack	0.0440905
"Charles Lindbergh"	0.0438329
Fosse	0.0437898
nonfiction	0.0437746
Sommer	0.0437549
Sobel	0.0436629
Schmalensee	0.0433395
Vaughan	0.0433096
Rockefeller	0.0431322
Proust	0.0428555
Miyazaki	0.0427159
Cleese	0.0426315
Costner	0.0425715
Balzac	0.0425033
slasher	0.0423673
Felton	0.0422876
Guralnick	0.0421902
Oppenheimer	0.0421191
Sheehy	0.0420984
Kubrick	0.0420863
Hitchcock	0.0420722
"Stanley Kubrick"	0.042027
"this @@@@"	0.0416343
Everyman	0.0415365
Coughlin	0.0414942
Marilyn	0.0413634
Mahoney	0.0413343
Gorman	0.0411176
Parrott	0.0411088
Fairbanks	0.0409825
Rowling	0.0408925
McCourt	0.0408228
Demaci	0.0407366
Maritz	0.040732
McIntyre	0.0406713
"David Lynch"	0.0406644
Alexie	0.0406394
McCormack	0.040548
Schwarzenegger	0.040538
indie	0.0405192
Holmes	0.0405092
Baugh	0.0404752
IMAX	0.0404487
Bogart	0.0403397
"P.T Barnum"	0.0402289
Colette	0.0402152
))
(Chapman (desc 5089.34) (sims
Gugliotta	0.100673
Hardaway	0.089254
McCloud	0.0858689
Rosenthal	0.0855447
Wilkins	0.0853927
Brazile	0.0836437
Meissner	0.0827395
"Rex Chapman"	0.0808569
Elliott	0.0804814
Reyes	0.0773535
Greenwald	0.0759349
Laudrup	0.0756793
Evans	0.0756569
Ellis	0.0755213
Abram	0.0753414
Menchu	0.0752216
Murray	0.0745643
Wiggins	0.0744962
Byrne	0.0740782
Tuggle	0.0740497
Hatfield	0.0740089
Jeffers	0.0733
Hurley	0.0726131
Payton	0.0725258
duncan	0.0725147
Brooks	0.0724774
Lovett	0.0723865
Merritt	0.0722208
Schwartz	0.0718679
McDonald	0.0714194
Jensen	0.0713876
Keenan	0.0712365
"Cliff Robinson"	0.0712092
Bonilla	0.0708887
Krall	0.0703629
Bodine	0.070264
Wyly	0.0700044
Harrington	0.0699171
Nilsson	0.0697992
Fiorina	0.0695689
Coleman	0.0695209
Scruggs	0.0694866
Manson	0.0693794
Madsen	0.0692432
Ramirez	0.0691466
Finneran	0.0690989
fisher	0.0688896
Mutombo	0.0682732
Plummer	0.0682466
Friedman	0.0680579
Bellamy	0.0673872
Salim	0.0672562
Jenkins	0.0671578
Bragg	0.0671427
Barrett	0.06682
Richards	0.0668003
Quinn	0.0667814
Grunwald	0.066747
Flockhart	0.0665593
O'Hara	0.0665318
Stahl	0.0664534
Ismail	0.0664356
Northup	0.0662945
Baum	0.066272
Drexler	0.0659539
O'Connell	0.0658996
McDuffie	0.0658522
Mullen	0.0658419
Phelps	0.065826
Johnston	0.0657479
Mason	0.0657355
Rosenberg	0.0656913
Jaffe	0.0656668
Swann	0.0656462
Longley	0.0654825
Hanna	0.0654802
Tilberis	0.0654732
Cohn	0.065455
Redgrave	0.0651282
Gascoigne	0.0651168
Morton	0.0650953
Ramsey	0.0649591
Holdsclaw	0.0648459
Shriver	0.0648074
Torres	0.0646847
Napolitano	0.0645413
Garber	0.064487
Muckler	0.0644516
Reese	0.0644456
Giles	0.0643514
Molinari	0.0643046
Taylor	0.0642355
Dench	0.064171
Ferguson	0.0640263
"Tim Floyd"	0.0640249
Rodriguez	0.0639181
Briscoe	0.0638828
Laettner	0.0638479
Stewart	0.0638085
Raines	0.0636263
krueger	0.063617
Holmes	0.0636031
"Rodney Rogers"	0.0635977
Dion	0.0635642
Weston	0.0635592
Hoffman	0.0634791
Newsome	0.0634766
Malone	0.0633359
Bennett	0.0632278
nance	0.0631576
Bryant	0.0630976
Britton	0.0630674
Upshaw	0.0628316
Gonzalez	0.0628105
Quintero	0.0625831
O'Donnell	0.0625825
Garnett	0.0625342
pressman	0.0625059
beamer	0.0624845
Dixon	0.0624027
Kirkpatrick	0.0623916
Woodard	0.0622996
Hayes	0.0622765
Olson	0.0622327
Gifford	0.0622239
Manuel	0.0622197
Frankenheimer	0.0621289
Mann	0.0621187
Walsh	0.0620478
Roberts	0.0620421
Lopez	0.0619477
Palmer	0.0618785
Hartman	0.0618592
Holtz	0.0618493
Blum	0.0617756
Hess	0.0616803
Sullivan	0.0616604
Morrison	0.061636
Meggett	0.0616142
COYNE	0.0614225
Meyer	0.0613934
McMillan	0.0613649
Norstrom	0.061306
Ripken	0.0612728
Langdon	0.0612066
McGrady	0.0612009
"Kevin Johnson"	0.0611724
Shapiro	0.0611454
Vogel	0.06114
Markovic	0.0610656
Pascal	0.0610487
Watson	0.0609878
Culpepper	0.0609874
Carter	0.0609478
Harris	0.0609475
walker	0.0608494
Robinson	0.0608324
Bates	0.0608144
Weinstein	0.0607833
Thomas	0.0607794
bailey	0.0606912
Abdur-Rahim	0.060679
Simon	0.060659
Kidd	0.0605959
Ewing	0.0605852
Palffy	0.0605634
Milutinovic	0.060553
Weis	0.0605397
Boone	0.0605009
Stephenson	0.0604653
Barlow	0.0604288
Daniels	0.0603491
Maradona	0.0602533
Lehman	0.0602357
lynch	0.0601163
Haines	0.0601121
Springsteen	0.0600947
Crawford	0.0600684
Horne	0.060058
Marchand	0.0600059
Muoneke	0.0599877
Wolfensohn	0.0598923
Cummings	0.0598585
Iverson	0.0598433
Griffiths	0.0598139
Clooney	0.0596681
Farrell	0.0596127
gill	0.0595996
Fisk	0.0595514
Sawyer	0.059547
Rodman	0.0594782
Cruz	0.0594009
Pearce	0.0593411
Sutter	0.0592565
O'Connor	0.0592458
Cepeda	0.0592261
Plante	0.0592234
Erickson	0.0592054
Mays	0.0591721
Egan	0.059139
))
(Chappaqua (desc 4586.56) (sims
Scarsdale	0.19043
Montclair	0.170587
"New Rochelle"	0.168969
"Westchester County"	0.168168
Bridgehampton	0.158441
"East Hampton"	0.146192
Riverdale	0.143355
"Woodland Hills"	0.141055
Encino	0.139617
"Paradise Valley"	0.138633
"Saratoga Springs"	0.137263
Tarzana	0.136961
Englewood	0.135305
MINEOLA	0.131479
Greenwich	0.126328
Tarrytown	0.125927
Chatham	0.125896
Hempstead	0.125082
Princeville	0.124704
Reseda	0.123875
LAKEWOOD	0.121347
Chatsworth	0.12124
Bedford	0.121108
Medford	0.120903
Pelham	0.119829
Brentwood	0.119545
Clifton	0.117759
"Hollywood Hills"	0.115669
Amherst	0.11556
"Pacific Palisades"	0.114726
Carthage	0.113932
"Garden City"	0.113572
Skaneateles	0.113093
"Mill Valley"	0.112565
"Silver Spring"	0.11232
"Studio City"	0.111864
Peekskill	0.110509
Gloucester	0.11035
Malden	0.110167
Westchester	0.109222
Plano	0.108708
Middletown	0.108662
Carmel	0.108315
Westfield	0.107593
"Simi Valley"	0.107524
Ballymoney	0.105706
"White Plains"	0.105649
Brookline	0.105445
Poughkeepsie	0.105008
"Forest Hills"	0.104545
Pacoima	0.104351
Lawrenceville	0.104144
Marjayoun	0.103318
BRIGHTON	0.102739
Bethesda	0.10194
Surrey	0.101868
"Mission Viejo"	0.10067
Alpharetta	0.100658
"Park City"	0.100561
"Van Nuys"	0.10011
Hattiesburg	0.0997013
Elmira	0.0996243
Ridgewood	0.0993
"West Palm Beach"	0.0991709
"Great Neck"	0.0989158
Marietta	0.0981668
"Lake Worth"	0.0978717
"Granada Hills"	0.0977404
Arlington	0.0973644
Greenville	0.0970946
"Marin County"	0.0958465
Dundalk	0.095827
Somerville	0.0956338
Kingston	0.0950851
"Sherman Oaks"	0.0940468
"Abu Dis"	0.0940464
"Palm Beach Gardens"	0.0938922
canton	0.0936207
"Bel Air"	0.0935797
Westport	0.0929223
Brockton	0.0924181
Irvington	0.0923508
Duluth	0.0918806
Walkerton	0.0918214
Glendale	0.0917978
"New Canaan"	0.0915909
"Little Havana"	0.0914857
Wilmington	0.0914323
"North Hollywood"	0.0913428
Jericho	0.0911344
Stamford	0.0909996
"La Jolla"	0.0898091
Yonkers	0.0894339
ARCADIA	0.0893034
"Rockland County"	0.0887846
Sarasota	0.0882012
"Highland Park"	0.0878322
Milton	0.0877966
Huntington	0.0877681
Decatur	0.0877206
Albuquerque	0.0874613
Shepherdstown	0.0874567
"Gaza City"	0.0873232
"Cherry Hill"	0.0872813
Alexandria	0.0871493
Eureka	0.0871175
Dunwoody	0.086843
"Little Rock"	0.0867719
Morristown	0.0866119
Cambridge	0.0864057
Latham	0.0863839
bethel	0.0863755
"East Orange"	0.0863083
"Hyde Park"	0.0862653
ASHEVILLE	0.0860651
Jasper	0.0853052
Pleasantville	0.0851248
Leskovac	0.0846408
"Brooklyn Heights"	0.0845402
Tempe	0.0843109
Stockbridge	0.084131
"Chapel Hill"	0.0840928
Ithaca	0.0840854
Newton	0.0839654
Schenectady	0.0834422
midland	0.0833795
"Mount Vernon"	0.0829159
Farmington	0.0828047
"Thousand Oaks"	0.0824471
"Palm Springs"	0.0822931
Flushing	0.0822836
Americus	0.0822281
Uniondale	0.0821642
Leawood	0.0821566
"East Rutherford"	0.0821193
Akron	0.0821102
Albany	0.081972
Hillsboro	0.0819626
Evanston	0.0814751
"Fort Worth"	0.0814584
Atherton	0.0814353
Boise	0.0813267
riverside	0.0812382
Charleston	0.0808356
Chester	0.0807414
Huntsville	0.0806693
Utica	0.0805753
Salem	0.0803917
Bensonhurst	0.0799199
"Santa Clarita"	0.0798275
"Westlake Village"	0.0797907
Lexington	0.0797031
Katy	0.0796496
"Virginia Beach"	0.0794521
"San Fernando Valley"	0.0793605
Oxnard	0.079349
Derry	0.0793331
"Orange County"	0.0793315
"Overland Park"	0.0793002
Cicero	0.0792684
"Newport Beach"	0.0792537
"Miami Beach"	0.0792321
Macoris	0.0792105
Laramie	0.0791729
Naples	0.079015
Troy	0.0788951
Waterloo	0.0786684
Sausalito	0.078609
"Manhattan Beach"	0.0785352
Tampa	0.0783215
"Union City"	0.0782847
McLean	0.0782394
"Greenwich Village"	0.0781649
"Santa Rosa"	0.0779424
Pasadena	0.077917
Montauk	0.0778515
"trailer park"	0.0776853
"East Los Angeles"	0.0776716
Camden	0.0775874
Plattsburgh	0.0775765
Norwood	0.0775343
Fairfield	0.0774713
Buckhead	0.0773942
Valhalla	0.0772893
"Santa Fe"	0.0772854
Gnjilane	0.077279
Norwich	0.0772723
Carrollton	0.0771849
Georgetown	0.0771667
Nago	0.0770745
Claremont	0.0770393
Burbank	0.0766572
Watertown	0.0766082
Aberdeen	0.0763987
Scottsdale	0.0761198
Lhokseumawe	0.0760393
subdivision	0.0760228
"Santa Monica"	0.0759905
Weston	0.0756939
"Daytona Beach"	0.0752158
))
(Chappell (desc 675.167) (sims
Vonnegut	0.183275
Farber	0.145819
HELLER	0.144936
Alexie	0.142402
Puzo	0.139099
Betts	0.13659
Susann	0.134738
Welty	0.125776
Kohn	0.124042
Halberstam	0.121612
nance	0.121196
Orwell	0.118898
Mortimer	0.118068
Pape	0.118
Lehane	0.117929
Purdy	0.117494
Carre	0.114841
Cornwell	0.112773
Myhrvold	0.111571
Rongen	0.11075
Hammett	0.109961
Stacy	0.109926
Wildhorn	0.108251
McEwan	0.108089
Cleese	0.10767
Margolis	0.106489
Wolff	0.106467
Goff	0.106405
Baugh	0.104599
Wolfe	0.104236
DERSHOWITZ	0.102766
McMurtry	0.102746
Rushdie	0.102632
Naipaul	0.10261
Harrigan	0.102221
Bassett	0.101501
Diggs	0.100424
Krugman	0.0997972
Hamlin	0.0997204
Ono	0.0987963
Vogel	0.0983596
Figgis	0.09833
Godwin	0.0967893
Sobel	0.0967458
Morrison	0.0962184
Yastrzhembsky	0.0961053
Greenwald	0.0958721
Felton	0.0955729
Postel	0.0954535
Ciampi	0.095363
Rodionov	0.09513
Borden	0.0949819
Hindery	0.094973
Sheehy	0.0948114
Andreessen	0.0948076
Draper	0.0943889
Vasile	0.0943323
Dellucci	0.0935805
Hamid	0.0932745
Yoakam	0.0928995
"John Updike"	0.0927431
Giordano	0.0926937
Bloch	0.0922671
Junger	0.0919262
Pearce	0.0918888
Weldon	0.0917809
Turetzky	0.0912552
Collymore	0.0906747
Schiffer	0.0905133
Weil	0.0904251
Muir	0.0895325
Rudman	0.0894906
Pryor	0.0889158
Puente	0.0888756
Talebi	0.0888044
Tilberis	0.0887936
Marinovich	0.0883827
Guterres	0.0882664
Bambang	0.0882496
Crocker	0.0877732
Gutman	0.0877063
Wenger	0.0872988
Garber	0.0872221
Kusama	0.0871857
Posner	0.0869391
Kincaid	0.0866584
Weiner	0.0863494
Ozersky	0.0862247
Cline	0.0861366
Whipple	0.0860476
"Larry McMurtry"	0.085782
Grisham	0.0856364
Doyle	0.0855414
Harrer	0.0854419
Jaffe	0.0851508
Whyte	0.0848168
Werner	0.084811
Singson	0.084644
Finney	0.0844379
Klestil	0.084419
Darnell	0.0843585
Stillman	0.0842824
Kay	0.0838466
Merritt	0.0838379
Iglesias	0.0836358
Chrissie	0.0835612
Allende	0.0829809
Hubbard	0.0827601
Updike	0.0827402
Guralnick	0.0827345
Wharton	0.0826155
"Raymond Chandler"	0.0825758
Nabokov	0.0824557
Biggs	0.0819944
Grossman	0.0819891
Castaneda	0.0816923
Hobson	0.0816436
Ruehe	0.0814179
Moser	0.0813485
Kopp	0.0809746
Donnelly	0.0806855
Theroux	0.0806466
TRIER	0.0805072
Anand	0.0803435
Edmondson	0.0803232
Walser	0.0802883
Groening	0.0801136
Sarsour	0.0797706
McAllister	0.0794415
Rankin	0.079347
Squier	0.0793428
McLaughlin	0.0792729
Saramago	0.0792341
Boller	0.079178
Naumann	0.0790348
Atwood	0.0789605
Auerbach	0.0788845
Coppola	0.0788765
Orban	0.0786896
McCombs	0.0786643
Hirsch	0.0785542
Blazevic	0.0784221
"E.L Doctorow"	0.0782782
ISSEL	0.078219
Pederson	0.0779948
Lurie	0.0779185
Remnick	0.0778524
Raznatovic	0.0777977
"Kurt Vonnegut"	0.0773972
Gosper	0.077262
Rowling	0.0771661
Caldwell	0.0770323
GAGE	0.0769493
Carlson	0.076915
Leigh	0.0768647
"Susan Sontag"	0.0766796
Nasrallah	0.076651
Harbison	0.0766432
Jayakumar	0.0765484
McKenzie	0.0764389
Severino	0.0763845
Polgar	0.0763252
Zuckerman	0.0762107
Edelstein	0.0761664
Conroy	0.0755918
Bishara	0.0755141
Nunn	0.075424
McKenna	0.0754025
Halloran	0.0751989
Larson	0.0750894
Frankenheimer	0.0748802
Isner	0.0748523
Pollack	0.0747935
Salinger	0.0747228
Karimov	0.074639
Ballard	0.0744545
"de Charette"	0.0744216
Ginsberg	0.0743877
LaBute	0.0743493
Baird	0.0741964
Gould	0.0740579
Yazdi	0.0740051
romano	0.0739301
Curley	0.0736449
Metcalf	0.0735575
Kasoulides	0.0735103
Jorgensen	0.0734059
Rivlin	0.0733829
Eubanks	0.0732999
Forrest	0.0732917
Plante	0.0732914
Sartre	0.073223
Stoyanov	0.073175
Kurosawa	0.0729982
Weah	0.072996
Ebbers	0.0729468
Burroughs	0.0729417
Arizmendi	0.0726183
Condon	0.072597
Brazile	0.0721611
))
(chapter (desc 72814.1) (sims
episode	0.094639
book	0.0922898
paragraph	0.0920222
page	0.0875646
article	0.0857225
story	0.0821984
branch	0.0814821
essay	0.0813922
"turning point"	0.0808885
association	0.0772344
"chamber of commerce"	0.0767122
twist	0.074448
section	0.0735729
footnote	0.072655
novel	0.0725448
organization	0.0707526
milestone	0.0703165
phase	0.0692729
committee	0.0683015
foundation	0.0681031
poem	0.0676107
text	0.0675791
"school district"	0.0673929
history	0.0665026
group	0.0658128
edition	0.0649458
lesson	0.0648171
tale	0.0645443
"Sierra Club"	0.0642399
document	0.0637481
memoir	0.063435
biography	0.0633148
scene	0.063136
event	0.0624053
detail	0.062357
installment	0.0618764
conference	0.061792
"task force"	0.0616651
"executive director"	0.0616438
office	0.0616135
moment	0.0615175
series	0.0614227
piece	0.0608599
Council	0.060787
magazine	0.0604883
forum	0.0602569
"short story"	0.0601597
union	0.0600988
journal	0.0595763
program	0.0594312
Song	0.0593326
"Christian Coalition"	0.0593033
segment	0.0590285
study	0.0589942
convention	0.058896
museum	0.0587832
manuscript	0.0586393
cookbook	0.0584875
verse	0.0584313
publication	0.0584285
federation	0.0582354
column	0.0581118
member	0.0579561
narrative	0.0578905
board	0.057551
paper	0.057316
library	0.0570175
institute	0.0568889
element	0.0568671
speech	0.0566299
landmark	0.0564752
step	0.0563245
affiliate	0.0561888
commission	0.0559244
author	0.0557663
passage	0.0556704
version	0.0553712
example	0.0551446
pamphlet	0.0548567
vignette	0.0547526
aspect	0.0546937
meeting	0.0545855
university	0.0545665
film	0.0545549
character	0.0545183
recipe	0.0543519
"police department"	0.0542839
era	0.0542711
description	0.0540144
documentary	0.0539944
account	0.0539877
case	0.0539465
theme	0.0539077
legislator	0.0538847
agency	0.0538784
church	0.0537718
note	0.0537292
commentary	0.0536952
setback	0.0536501
guide	0.0535588
"board of education"	0.0534316
seminar	0.0533896
act	0.0533382
script	0.0532983
Saga	0.0532454
President	0.0531756
school	0.0531603
life	0.053121
district	0.0531127
copy	0.052929
collection	0.0528379
campaign	0.0528204
drama	0.0527732
legislature	0.0526671
tribe	0.0526178
community	0.052526
Exhibition	0.0524258
exhibit	0.0523499
illustration	0.0522523
reflection	0.0522363
academy	0.0522185
excerpt	0.0518401
autobiography	0.0517796
"nonprofit organization"	0.0515942
"working group"	0.0515928
letter	0.0515842
department	0.0515337
Bible	0.051446
official	0.0514137
AFL-CIO	0.0513104
center	0.0512285
diocese	0.0509202
manual	0.0508646
"Department of Transportation"	0.0507424
achievement	0.0507
director	0.050678
statement	0.0506476
picture	0.0506316
breakthrough	0.0505897
hospital	0.0505352
newsletter	0.050499
club	0.0503776
session	0.050307
"television station"	0.0502413
textbook	0.0502107
division	0.0501677
site	0.0500248
policy	0.049989
photograph	0.0499135
lawmaker	0.0497514
stage	0.0496763
Encyclopedia	0.0496726
draft	0.0495796
catalog	0.0495183
society	0.0494754
bureau	0.0494377
legacy	0.0492522
phrase	0.0492121
debate	0.049205
law	0.0491887
newspaper	0.0491646
sequence	0.0491412
list	0.0491026
class	0.0490532
sentence	0.048941
resident	0.0489303
subject	0.0489242
experience	0.0489183
"executive council"	0.0487001
agenda	0.0486926
representative	0.0485751
delegation	0.0485711
unit	0.0485532
beginning	0.0485436
language	0.0485277
literature	0.0484837
delegate	0.0484821
leader	0.0484738
panel	0.0484149
lecture	0.0483764
NAACP	0.0483217
"congressional district"	0.0482096
county	0.0481311
review	0.0480395
survey	0.0479548
"radio station"	0.0479105
"board of directors"	0.0479094
role	0.0478557
Assembly	0.0478422
evidence	0.0478252
party	0.0478213
Mission	0.047808
news	0.0476994
message	0.0476884
"first step"	0.0476763
"Democratic Party"	0.0476243
thing	0.0475084
police	0.0474989
tragedy	0.0474915
"school system"	0.0474614
))
("Chapter @" (desc 3386.37) (sims
"Chapter @@"	0.296299
"Title VII"	0.12746
"Article @@@"	0.107624
"Article @@"	0.10105
drafters	0.100924
"Section @@@"	0.0923248
"Article @"	0.0878671
"Peaceful Coexistence"	0.0786756
ERISA	0.0723889
"Section @@"	0.0716612
"bankruptcy law"	0.0655914
"Endangered Species Act"	0.0642553
contravention	0.062275
"Title IX"	0.0621415
"Antiquities Act"	0.0589425
"Telecommunications Act"	0.0584057
"Criminal Procedure Law"	0.0571314
promulgation	0.0551872
"Fifth Amendment"	0.0548681
"fire sale"	0.0545008
"a few lines"	0.053919
"fundamental principle"	0.053369
"eminent domain"	0.0522992
emulator	0.0484481
NLRB	0.0483349
Sogo	0.0470502
"legal code"	0.0452492
Ada	0.0437429
"Section @"	0.0431302
"U.N. Resolution @@@"	0.0428647
foreclosure	0.042764
annulment	0.0424469
disbarment	0.0420671
decertification	0.0419495
Gitic	0.0416582
drafting	0.0413674
"criminal law"	0.0403713
))
("Chapter @@" (desc 6482.08) (sims
"Chapter @"	0.296299
"bankruptcy protection"	0.175622
"bankruptcy law"	0.123273
bankruptcy	0.1042
reorganization	0.0763087
"Heavily Indebted Poor Countries"	0.0731144
"Title VII"	0.0727976
"Section @@@"	0.0684291
"Endangered Species Act"	0.0672105
ERISA	0.0615471
annulment	0.0611799
"reorganization plan"	0.0609203
receivership	0.0596082
liquidation	0.058984
"Article @@@"	0.0559405
"Fifth Amendment"	0.0550159
hibernation	0.0524911
"Fourth Amendment"	0.052151
Ada	0.051925
Gitic	0.0511303
arbitration	0.0496338
"bankruptcy proceeding"	0.0485205
"U.S. Bankruptcy Court"	0.0460677
GSP	0.0454233
dormancy	0.0442273
"initial public offering"	0.0440459
"Title IX"	0.0435399
NLRB	0.0423038
"First Amendment"	0.042209
"almost @,@@@"	0.0415938
"a few lines"	0.0414989
naturalization	0.041034
Iridium	0.0404517
))
(Chara (desc 1256.88) (sims
marihuana	0.199703
opium	0.174526
hashish	0.162344
morphine	0.126812
heroin	0.114229
"ammonium nitrate"	0.0873253
cannabis	0.0844473
"wheat flour"	0.0730734
methamphetamine	0.0729094
bhang	0.0690179
LSD	0.0634044
Audette	0.0626519
plutonium	0.0619662
ephedrine	0.061455
TNT	0.0592509
Woolley	0.0589191
tilapia	0.0581566
"poppy seed"	0.0575852
Kamensky	0.0562506
Stumpel	0.0553611
"Bryan Berard"	0.0547849
Laperriere	0.0543801
"Alan Embree"	0.0543504
tusk	0.0515158
Arthurs	0.0509925
LaPointe	0.0494633
mutton	0.0492765
"Sinisa Mihajlovic"	0.0484955
Hardeman	0.0482231
"designer drug"	0.0481419
"Herschel Walker"	0.0472186
"milk powder"	0.0471175
Smolinski	0.0469331
Tverdovsky	0.0463981
Dunham	0.0458441
"Scotty Bowman"	0.0442857
Carbonneau	0.0437447
Brashear	0.0429975
"Manny Legace"	0.0426689
"Jason Christiansen"	0.0425984
Salo	0.0425114
Thibault	0.0424867
"opium poppy"	0.0424196
Butyrskaya	0.0421473
Paxon	0.0409796
Bedell	0.0404805
Barrasso	0.040462
"ZIGMUND PALFFY"	0.0404515
"Abidine Ben Ali"	0.0401904
Norstrom	0.0401755
Nivel	0.0400554
))
(character (desc 243304) (sims
personality	0.150823
image	0.132752
style	0.126175
actor	0.121531
story	0.120143
movie	0.117927
hero	0.116982
role	0.112773
film	0.111552
humor	0.110012
music	0.109843
theme	0.108409
life	0.108254
man	0.107839
scene	0.105144
protagonist	0.104857
guy	0.104279
voice	0.10414
talent	0.10413
vision	0.103511
culture	0.102116
quality	0.102037
nature	0.101155
kid	0.100443
experience	0.0998524
name	0.0997972
star	0.0988115
tale	0.0984079
heroine	0.0976889
performance	0.0976851
woman	0.0976203
people	0.0976029
comedy	0.09737
picture	0.0973227
beauty	0.09703
Song	0.0968411
spirit	0.0958241
artist	0.0954626
creature	0.0951308
persona	0.0949951
language	0.0947341
thing	0.0943261
novel	0.0943257
performer	0.0941482
person	0.0941441
behavior	0.0938893
drama	0.093717
idea	0.0935345
skill	0.0925281
subject	0.0923428
color	0.0919692
history	0.0918112
figure	0.0917559
identity	0.0915303
love	0.0914455
girl	0.0909245
word	0.0906961
villain	0.0906036
art	0.090532
design	0.090373
attitude	0.0895564
book	0.0894106
reality	0.089347
boy	0.0892264
script	0.0887689
ability	0.0880099
work	0.0868725
portrait	0.0868235
tradition	0.0865222
relationship	0.0861266
actress	0.0860956
emotion	0.0856627
mother	0.0852981
courage	0.0850342
child	0.0850084
element	0.0843055
writing	0.0842869
charm	0.0840303
father	0.0839673
writer	0.0839651
concept	0.0836501
type	0.0835823
passion	0.0833118
soul	0.0832997
sense	0.083267
kind	0.0827269
flavor	0.0824546
show	0.0823888
background	0.0823218
detail	0.0822658
integrity	0.082259
family	0.0813428
politics	0.08131
celebrity	0.0811314
look	0.0810674
honesty	0.080996
cartoon	0.0803071
ethic	0.0802941
stuff	0.0801217
object	0.0799577
animal	0.0798999
painting	0.0798669
tone	0.0797596
taste	0.0796462
friend	0.0796383
piece	0.0795904
player	0.0795816
sound	0.0795135
cast	0.0795101
value	0.0791757
plot	0.0791702
episode	0.0791525
sensibility	0.0788429
individual	0.0782908
structure	0.0782637
moment	0.0781086
wit	0.0779671
costume	0.0779424
"young woman"	0.0778765
Romance	0.0775486
feature	0.0774037
fantasy	0.0773578
it	0.0772849
faith	0.0772429
joke	0.0771904
aspect	0.0770621
meaning	0.0769602
memory	0.0768922
fact	0.0768693
strength	0.0768641
adventure	0.0767505
"human being"	0.0766895
one	0.0766003
someone	0.0765817
version	0.0764715
truth	0.0762648
fashion	0.0762557
audience	0.0761626
feeling	0.0760352
"special effect"	0.0760302
world	0.0758809
athlete	0.0758127
portrayal	0.0757617
genre	0.0757381
pattern	0.0757079
content	0.0757054
"young man"	0.0756756
intelligence	0.0754859
fan	0.0752561
face	0.0752471
narrative	0.0750854
narrator	0.0750642
brother	0.0750419
some	0.0747825
musician	0.0745529
wife	0.0743764
technique	0.0743411
photograph	0.0742209
characteristic	0.0741103
something	0.0740358
landscape	0.0740307
approach	0.0739744
diversity	0.0739468
success	0.0739213
play	0.073879
model	0.0738188
daughter	0.0736796
sequence	0.0734876
heritage	0.0734167
singer	0.0732487
that	0.0731615
icon	0.0731507
morality	0.0729669
son	0.0727481
sport	0.0726936
philosophy	0.0726228
parent	0.0725833
sex	0.0723306
material	0.072178
wisdom	0.0721271
description	0.0719732
message	0.0718793
accomplishment	0.0716703
insight	0.0715696
line	0.0714746
husband	0.0714225
legend	0.071386
interest	0.0712796
thought	0.0711732
Universe	0.0711623
student	0.0711121
phrase	0.0710762
lover	0.0710703
doll	0.0709579
Cop	0.0709285
politician	0.0709165
twist	0.0709013
symbol	0.0708823
dog	0.0708225
form	0.0707309
))
("character actor" (desc 4091.8) (sims
cellist	0.0928643
violinist	0.0880145
instrumentalist	0.0850968
songwriter	0.0849601
actress	0.0846258
"role player"	0.0841144
"public speaker"	0.0807714
stuntman	0.0805458
newspaperman	0.0799208
craftsman	0.0798811
schoolboy	0.0780205
paraplegic	0.0757777
"leading man"	0.0754078
playmaker	0.0741539
arranger	0.0739565
filmmaker	0.0739501
"chess player"	0.0739473
pianist	0.0734381
bloke	0.0729301
cabinetmaker	0.0727633
goal-scorer	0.0718277
"young actress"	0.0710925
"leading lady"	0.0710853
temptress	0.0706481
Playwright	0.0697651
singer-songwriters	0.0697017
recluse	0.0695238
bloomer	0.0683288
"television star"	0.0680621
curmudgeon	0.0675408
raconteur	0.0674793
storyteller	0.0668387
eccentric	0.0664232
"fashion designer"	0.0655288
"hockey player"	0.0654437
"jazz musician"	0.0653788
statesman	0.0653187
"stage director"	0.065039
stylist	0.0650222
Kurd	0.0649481
"ballet dancer"	0.0649336
portraitist	0.0648623
illustrator	0.0646427
communicator	0.0646023
comedian	0.0645637
cartoonist	0.0645482
painter	0.0641693
calligrapher	0.0640902
newswoman	0.0640697
ballplayer	0.0636126
dramatist	0.0634917
lifer	0.0634852
closers	0.0633126
conductor	0.0630703
hippie	0.0626728
"movie star"	0.0625969
naturalist	0.0624886
orator	0.0619372
handicapper	0.0617136
puncher	0.061434
loner	0.0613635
screenwriter	0.0613592
trumpeter	0.0612915
"man of letters"	0.0610024
"film star"	0.0608459
goalscorer	0.0605279
vocalist	0.0604064
switch-hitter	0.0601158
classicist	0.0600533
clarinetist	0.0599682
novelist	0.0597914
"big leaguer"	0.0596882
chronicler	0.0596814
choreographer	0.0595712
"Andy Kaufman"	0.059482
swinger	0.0592445
"guitar player"	0.0592445
"foreign service officer"	0.0591368
thespian	0.0590427
charmer	0.0588895
composer	0.0588273
poet	0.0588023
Atlantan	0.0587516
dude	0.0586672
crooner	0.0583301
"good person"	0.0583128
mathematician	0.0581987
debater	0.0581489
talker	0.0581019
learner	0.0576965
picker	0.0575614
underachiever	0.0574702
lyricist	0.0574261
has-been	0.0574238
guitarist	0.0573437
decorator	0.0573209
showman	0.0572498
sportswriter	0.0572298
wonk	0.057123
"pass catcher"	0.0570783
"supporting players"	0.0570534
heartthrob	0.0570113
passer	0.0569175
socialite	0.0568625
flutist	0.0568367
heretic	0.0565104
satirist	0.0561428
"volleyball player"	0.056046
"three pitchers"	0.0560228
perfectionist	0.0560196
sculptor	0.0559926
fixer	0.0559524
overachiever	0.0558377
battler	0.0558203
entertainer	0.0557407
"traveling salesman"	0.055694
humanist	0.0556906
"two pitchers"	0.0556156
musicologist	0.0555579
"ball club"	0.0554536
vaulter	0.055415
nobleman	0.0553916
gadfly	0.0553746
"house painter"	0.055262
horseman	0.0551244
thrower	0.0551048
auteur	0.0550937
egomaniac	0.0549831
"basketball player"	0.0549529
southpaw	0.0549511
pragmatist	0.0549023
botanist	0.0548918
cipher	0.0548509
"costume designer"	0.0546235
"tough guy"	0.0544815
cinematographer	0.0543961
supermodel	0.0541954
magician	0.0537057
sprinter	0.0536319
"white person"	0.0535143
bodybuilder	0.0533386
"bit part"	0.0533125
evangelist	0.0531723
lad	0.0530914
realist	0.0530423
tenor	0.0529486
Frenchman	0.0529281
thinker	0.0527378
"second person"	0.0525104
balloonist	0.0523476
Litigator	0.0522617
grinder	0.0520675
"young person"	0.0520141
clergyman	0.0517644
"black person"	0.0516905
typist	0.0513601
"football player"	0.0513056
"rich man"	0.0512176
mountaineer	0.0511908
sweeper	0.0511503
"letter writer"	0.0510757
mezzo-soprano	0.0509676
"test pilot"	0.0509602
"free spirit"	0.0508106
"piece of work"	0.0507942
"public servant"	0.0507638
filmmakers	0.0506434
animator	0.0504914
"bad guy"	0.0503472
cameo	0.0502508
doer	0.0501254
racehorse	0.0500652
Englishman	0.0499245
wimp	0.0498196
"hard worker"	0.0497513
misfit	0.0496695
grown-up	0.049647
physicist	0.0496329
"risk taker"	0.0495843
footballer	0.0495723
schemer	0.0495468
"sea captain"	0.0495365
miler	0.0494847
"art historian"	0.0493276
drummer	0.0492017
"black woman"	0.0491725
woodworker	0.0491421
humorist	0.0491382
libero	0.0490901
baritone	0.048973
weatherman	0.0489645
"naval officer"	0.0489543
rebounders	0.0489448
"world traveler"	0.0489359
jurist	0.048778
seamstress	0.0487573
preacher	0.0487539
idealist	0.0487471
first-rounder	0.0486981
double-teamed	0.0486341
))
("character assassination" (desc 1706.12) (sims
hearsay	0.0848708
trashing	0.0780105
"wishful thinking"	0.0764725
brinkmanship	0.0753229
trickery	0.074391
blackmail	0.0736754
Minuet	0.0729408
denigration	0.0666649
"saber rattling"	0.0657074
one-upmanship	0.0653935
Vilification	0.0651802
"subversive activity"	0.0648513
extortion	0.0646303
guesswork	0.064335
brinksmanship	0.0639293
intimidation	0.0629883
innuendo	0.0622125
pillage	0.0622105
gamesmanship	0.0613609
slander	0.0600811
disinformation	0.0589712
conjecture	0.0574705
coverup	0.0572999
screed	0.0570245
misinterpretation	0.0565486
"number crunching"	0.0562554
"name calling"	0.0556418
coercion	0.0555785
demonization	0.0553147
subterfuge	0.0544598
harangue	0.0538849
finger-pointing	0.0538496
incitement	0.0538428
"double entendre"	0.0536086
barbarity	0.0535558
predation	0.0529536
"sleight of hand"	0.0529105
misinformation	0.052829
arm-twisting	0.0526818
"deficit spending"	0.0526032
Judaization	0.0524617
vandalism	0.0513148
chutzpah	0.0505001
nitty-gritty	0.0502706
arbitrage	0.050257
hypocrisy	0.0501885
veneration	0.0497388
"detective work"	0.0496284
mischief	0.0493784
"chemical warfare"	0.0492218
bloodletting	0.0491102
bigotry	0.0487019
"civil disobedience"	0.0485602
demagoguery	0.048483
foolishness	0.0482639
Americanization	0.0482208
"natural ability"	0.0480335
subversion	0.0479432
vendetta	0.0479355
semantics	0.0479115
"moral hazard"	0.0478027
self-promotion	0.0477639
horseplay	0.0476557
colloquy	0.0473092
molestation	0.0472857
protectionism	0.0471722
sexism	0.0467135
"germ warfare"	0.0465036
drudgery	0.0460825
"exact opposite"	0.0459467
persuasion	0.0457423
interactivity	0.0447826
cross-fertilization	0.0446402
outreach	0.0444594
self-expression	0.0441024
"armed robbery"	0.0440265
"line drawing"	0.043945
give-and-take	0.0438282
"crime wave"	0.0436477
"damage control"	0.0435172
proviso	0.0434838
stalking	0.0434225
sodomy	0.043166
seduction	0.0427717
putsch	0.0427306
"triple play"	0.0425312
plagiarism	0.0424124
soul-searching	0.0421687
realpolitik	0.042123
posturing	0.0420967
"foot traffic"	0.0418435
blather	0.0417542
imperfection	0.0417425
overvaluation	0.0417285
gradation	0.0417256
self-examination	0.041679
charade	0.0413625
fistfight	0.041347
happiest	0.0411282
baloney	0.0409131
Wanderlust	0.0408846
heckling	0.0408822
usurpation	0.040796
oxymoron	0.0407845
"breach of trust"	0.0406915
price-fixing	0.0406773
militarization	0.0404947
"manual labor"	0.0404594
Dems	0.0404014
"hostile takeover"	0.0403798
skewering	0.0403339
lawlessness	0.0402797
maltreatment	0.0401919
boosterism	0.040113
machination	0.0400682
))
(characteristic (desc 49608.1) (sims
trait	0.160068
quality	0.114147
feature	0.10788
pattern	0.106429
attribute	0.106413
aspect	0.102744
factor	0.0974173
nature	0.0906464
personality	0.0899749
diversity	0.0894612
element	0.089405
ability	0.0891872
structure	0.0885573
style	0.0866295
function	0.0854694
type	0.0850924
strength	0.0848343
skill	0.0846517
potential	0.0841227
achievement	0.0834675
capability	0.083018
virtue	0.0822873
concept	0.0816316
circumstance	0.0816002
flaw	0.0810579
tradition	0.0809858
dimension	0.0809345
criteria	0.0808494
symptom	0.080683
technique	0.0805218
reality	0.0804402
objective	0.0803954
trend	0.0801989
color	0.0800636
value	0.0800359
origin	0.0797989
condition	0.0792674
"social system"	0.0788145
vitality	0.0783778
theme	0.0783432
experience	0.0780926
identity	0.0779587
behavior	0.0779218
content	0.0776704
habit	0.0775166
taste	0.0767272
problem	0.0764977
parameter	0.0762963
orientation	0.075436
knowledge	0.075258
accomplishment	0.0750873
culture	0.0750618
importance	0.0749132
preference	0.0748545
demographics	0.0747787
talent	0.074697
meaning	0.0746031
composition	0.0743446
background	0.0742927
character	0.0741103
vision	0.0740028
evolution	0.0739851
flavor	0.0738009
requirement	0.0737814
complexity	0.073745
quirk	0.0732466
development	0.0730992
peculiarity	0.0730192
size	0.0730132
spirit	0.072914
shape	0.0726049
method	0.0721453
kind	0.072099
ingredient	0.0720117
principle	0.0719855
design	0.0719282
attitude	0.0718005
fundamental	0.0717555
image	0.0717534
philosophy	0.0713834
history	0.0712722
consequence	0.0711953
beauty	0.0711332
similarity	0.0709207
dynamic	0.0708356
heritage	0.0707599
"risk factor"	0.0707448
perspective	0.0706726
difference	0.0705001
shortcoming	0.0703508
variety	0.0701143
innovation	0.0700402
gender	0.0699174
hallmark	0.0697762
situation	0.069529
perception	0.0693708
texture	0.0693578
profile	0.0692839
drawback	0.0692736
phenomena	0.069218
status	0.0687177
sense	0.0686481
fact	0.0685677
intelligence	0.0684988
strategy	0.0683931
custom	0.0683695
Limitation	0.068123
language	0.0681131
efficiency	0.0680261
vulnerability	0.0679997
standard	0.0677251
level	0.0677098
motivation	0.0674925
makeup	0.067474
density	0.0673397
view	0.0671459
depth	0.0670336
intensity	0.0670271
role	0.0669842
priority	0.066961
responsibility	0.0667829
interest	0.0667309
dynamics	0.0666924
advantage	0.0666403
Gene	0.0665747
significance	0.0662658
ideology	0.0660598
charm	0.0660537
viewpoint	0.0660295
weakness	0.0659905
mutation	0.0659845
technology	0.0657881
improvement	0.065765
benefit	0.0657229
religion	0.0656702
sensibility	0.0656159
tendency	0.0655885
environment	0.0655261
location	0.065398
idea	0.0653542
belief	0.0652949
ideal	0.0652061
indicator	0.0651109
resource	0.0649939
phenomenon	0.0649358
interpretation	0.0648749
approach	0.0648652
number	0.0648318
understanding	0.0647764
emotion	0.0645958
ethic	0.0642807
impact	0.0642409
"side effect"	0.064193
theory	0.0640051
variation	0.0639431
result	0.0638979
expertise	0.0637291
qualification	0.0637039
aspiration	0.0636885
task	0.0636285
impulse	0.0635321
sensitivity	0.063366
mix	0.0632914
success	0.0629406
climate	0.0628828
component	0.0628629
wisdom	0.0627782
temperament	0.0624363
ethnicity	0.0623802
geography	0.0622825
reason	0.0622804
effect	0.0621183
architecture	0.0620779
specie	0.0620699
nationality	0.0618764
policy	0.0618534
contradiction	0.0618533
combination	0.0618076
essence	0.0617085
mechanism	0.0616714
challenge	0.0614361
"point of view"	0.0614143
risk	0.0614122
variable	0.0614111
detail	0.0613379
vigor	0.0613241
subtlety	0.0612478
nuance	0.0612062
manifestation	0.0611323
instinct	0.0609652
motive	0.0609021
growth	0.0608352
lifestyles	0.0607675
sound	0.0606984
tone	0.060658
manner	0.0605921
model	0.0605846
aim	0.060477
health	0.0604274
mentality	0.0603957
))
(characterization (desc 17969.4) (sims
portrayal	0.105608
interpretation	0.0992666
description	0.0977805
assertion	0.0955297
depiction	0.0890694
criticism	0.078961
assessment	0.0761341
reasoning	0.0757494
critique	0.0751613
suggestion	0.0748776
wording	0.0734491
perception	0.0733488
logic	0.0727026
notion	0.072621
comment	0.0714101
explanation	0.0699481
analysis	0.0662321
comparison	0.0650449
recollection	0.0645709
conclusion	0.0642698
accusation	0.0639079
remark	0.0627924
tone	0.0611456
storyline	0.0609294
portrait	0.0601306
impression	0.0591457
opinion	0.0589679
narrative	0.0588954
phrasing	0.0586362
prediction	0.0582193
finding	0.0575866
observation	0.0571872
argument	0.0571107
anecdote	0.056819
timing	0.0565484
judgment	0.0555965
disclosure	0.055186
definition	0.0550515
pronouncement	0.0549712
"sense of humor"	0.0540817
summary	0.0538704
humor	0.0534168
gag	0.0531154
rhetoric	0.0527242
calculation	0.0525153
stereotype	0.0524305
caricature	0.0524006
premise	0.0522445
allegation	0.0521981
personality	0.051977
tactic	0.0518563
biography	0.0517457
context	0.0516951
connotation	0.0515832
understanding	0.0514912
denial	0.0513841
inference	0.0508934
wisdom	0.050524
expression	0.0501609
contention	0.0500527
prose	0.0498142
demeanor	0.0497078
reference	0.0494578
handling	0.0492378
misinterpretation	0.0491936
gist	0.0486832
theory	0.0485581
vision	0.0485525
phrase	0.0485402
behavior	0.0482397
rightness	0.0481352
symbolism	0.0481338
irony	0.048036
accuracy	0.0479149
profile	0.0478993
juxtaposition	0.0474677
scenario	0.0474219
formulation	0.0473283
glimpse	0.0471539
endorsement	0.0467924
appraisal	0.0467037
disapproval	0.0467024
synopsis	0.0466385
meaning	0.0466054
"point of view"	0.0466001
sketch	0.0465633
summation	0.0463174
insight	0.0461827
assumption	0.0460235
knowledge	0.0460038
rationale	0.0455527
gesture	0.0455109
insinuation	0.0454812
aspect	0.0454531
flavor	0.0454526
implication	0.0453918
examination	0.0453027
manner	0.045243
imagery	0.0452316
acknowledgement	0.0451422
advice	0.0450826
coincidence	0.0450019
metaphor	0.0449507
honesty	0.0449055
"special effect"	0.0448356
thinking	0.0447944
commentary	0.0447926
truthfulness	0.0447872
mannerism	0.0446703
presumption	0.0445006
insistence	0.0444757
omission	0.0442631
recommendation	0.0441924
sentiment	0.0439882
substance	0.0439792
cliche	0.0439746
reluctance	0.04396
proposition	0.0438325
subplot	0.0437656
realism	0.0436994
snapshot	0.0436589
credibility	0.0435706
nuance	0.0435368
satire	0.0434243
stance	0.0434097
hypothesis	0.0433165
reiteration	0.043292
presentation	0.0432537
overview	0.0430812
"state of mind"	0.0430569
scrutiny	0.0430168
seriousness	0.0429563
"subject matter"	0.0429294
suspicion	0.0428749
moniker	0.0427552
questioner	0.0425826
finalization	0.0425173
reading	0.042341
charisma	0.0422453
revelation	0.0422236
denunciation	0.0422026
condemnation	0.0421276
specificity	0.0420808
analogy	0.0419858
editing	0.0419841
absurdity	0.0419702
rejection	0.0419573
refusal	0.0419197
evaluation	0.0418462
writing	0.0416594
persona	0.041626
texture	0.0415703
reporting	0.0414587
documentation	0.0414358
outcome	0.041406
intimacy	0.0412982
comedy	0.0412687
veracity	0.0412656
validity	0.0412006
significance	0.0410262
clarity	0.0410168
one-liner	0.0409949
sincerity	0.0409143
artistry	0.0408639
reflection	0.0408317
repudiation	0.0408155
script	0.0407507
rebuke	0.0406375
motivation	0.0406254
speculation	0.0405814
composition	0.040529
acceptance	0.0403695
accent	0.0402772
manipulation	0.0402716
charm	0.0401441
determination	0.0400601
philosophy	0.0400316
reversal	0.0400081
))
(charade (desc 5213.6) (sims
"shell game"	0.0945862
brinksmanship	0.0852211
"waiting game"	0.0808349
sham	0.0806291
one-upmanship	0.0763548
ploy	0.0733537
"guessing game"	0.0709152
farce	0.0697912
"hot potato"	0.0689272
hoax	0.0682965
nonsense	0.0681537
travesty	0.0670682
prank	0.063252
posturing	0.0627093
brinkmanship	0.059753
scam	0.0592645
gotcha	0.0587187
"smoke screen"	0.0587015
overkill	0.0574123
subterfuge	0.0570644
"Trojan Horse"	0.0568947
nonevent	0.0568892
"waste of time"	0.056719
"state of affairs"	0.056614
"sleight of hand"	0.0565543
non-negotiable	0.0561615
sideshow	0.0560038
"name calling"	0.0557036
"house of cards"	0.0556431
cakewalk	0.0553325
"numbers game"	0.0552338
"tit for tat"	0.0549954
Gambit	0.0549717
"chess game"	0.0534851
ordeal	0.053295
no-brainer	0.0530502
stunt	0.053049
"trial balloon"	0.0527477
gamesmanship	0.0515425
firestorm	0.0511194
vendetta	0.0510169
whitewash	0.0508828
"market correction"	0.0507009
nonstarter	0.0504121
crap	0.050178
craziness	0.0500803
theatrics	0.0496013
nonentity	0.0493009
"fig leaf"	0.0491974
manoeuvre	0.0491417
axiom	0.0489841
wipeout	0.0489119
"vicious circle"	0.0483688
"subversive activity"	0.0483325
whiner	0.0482709
hijacking	0.0480494
lovefest	0.0479134
tug-of-war	0.0473332
trickery	0.0472299
"line of questioning"	0.0469902
"war game"	0.0468872
bloodletting	0.0465676
gimmick	0.0465503
slugfest	0.0464973
soiree	0.0464878
pauper	0.0462365
"ball game"	0.0460655
turnabout	0.0460029
"piece of work"	0.0459487
"speeding ticket"	0.0458642
screed	0.0458346
impossibility	0.0457281
arithmetic	0.0456142
ruse	0.0455849
pretense	0.0454809
copout	0.0454079
heresy	0.0451817
deception	0.0447563
formality	0.0447561
endgame	0.0443862
supplicant	0.0442674
twit	0.044238
calculus	0.0441532
imbroglio	0.0441258
rip-off	0.0439616
spectacle	0.0438707
"basketball season"	0.0438373
whodunit	0.0436975
"background noise"	0.0435659
handshaking	0.0434027
"second unit"	0.0433621
isolationism	0.0429546
"second tour"	0.0428336
McCarthyism	0.0428227
baloney	0.0428164
hiccup	0.0423948
Truism	0.0422918
fad	0.0421915
horse-trading	0.0421528
chimera	0.0420492
overreaction	0.0418546
gibberish	0.0416949
silliness	0.0414318
horseplay	0.0414074
"character assassination"	0.0413625
coverup	0.0412232
palliative	0.041197
uptrend	0.0410311
"football season"	0.0409795
cover-up	0.0408452
"guardian angel"	0.0408154
jinx	0.0407446
aberration	0.0407117
makeover	0.0406455
blandishment	0.0404934
machination	0.0403616
chicanery	0.0402623
groundswell	0.0401967
illegality	0.0401566
"social contract"	0.0401455
free-for-all	0.0400252
brawl	0.0400032
))
(charcoal (desc 9211.49) (sims
Coal	0.121294
Firewood	0.11091
"diesel oil"	0.0880477
crayon	0.0853468
chalk	0.0811851
rubber	0.0799237
cement	0.0794828
kerosene	0.0779482
metal	0.0778652
sawdust	0.0769009
lumber	0.0758938
"iron ore"	0.0758752
iron	0.0745921
stove	0.074399
pencil	0.0738494
briquette	0.0733468
timber	0.0727172
grill	0.0721542
"kerosene lamp"	0.0720959
gas	0.0717397
"vegetable oil"	0.0703301
compost	0.0693246
fertilizer	0.0686417
pastel	0.0682513
gunpowder	0.0679374
pigment	0.0671591
GRIDDLE	0.0661499
eraser	0.0660379
incense	0.0656447
gouache	0.0653433
"sea food"	0.065193
sugar	0.0642802
mineral	0.064109
"fossil fuel"	0.0631018
"natural gas"	0.0628024
Copper	0.0626366
plaster	0.0623326
foodstuff	0.0622872
meat	0.062236
vegetable	0.062233
ink	0.0621502
"human waste"	0.0621364
sand	0.0616969
"liquefied petroleum gas"	0.0616182
plastic	0.0615943
"palm oil"	0.0615136
ore	0.0613271
limestone	0.0611685
"wheat flour"	0.0609871
brick	0.0608553
petroleum	0.060502
ember	0.0603777
"sulfuric acid"	0.0603353
"crude oil"	0.0601854
ammonia	0.0600085
Liquid	0.0597273
sulfur	0.0592632
steel	0.0592067
candle	0.0591028
propane	0.0588881
hydrocarbon	0.0587092
aluminum	0.0582292
manganese	0.0572033
gasoline	0.0571932
flooring	0.0565319
peat	0.0564882
asphalt	0.0562749
dung	0.0562257
beige	0.0561722
husk	0.0560853
"building material"	0.0560818
Garbage	0.056081
"cooking oil"	0.05605
bean	0.0552586
"diesel fuel"	0.0551813
lava	0.0550337
ivory	0.0548579
lubricant	0.0548242
manure	0.0547768
graphite	0.0547131
chromium	0.054533
diesel	0.0544532
soot	0.0543441
Nickel	0.0542989
stucco	0.0542147
Concrete	0.0541791
spice	0.054148
ceramic	0.0541195
"fuel oil"	0.0538409
grain	0.0538256
pulp	0.0538234
maize	0.053391
ethanol	0.0533798
Straw	0.0533081
"ballpoint pen"	0.0532016
uranium	0.0531449
mulch	0.0529557
tile	0.052913
"canned food"	0.0528613
basalt	0.0527945
detergent	0.052345
resin	0.0521765
"cashew nut"	0.0521083
"oil paint"	0.0521051
gravel	0.0516759
polyethylene	0.0516159
"oil lamp"	0.0515912
seaweed	0.0515409
rubbish	0.0515174
watercolor	0.0515136
jade	0.0514958
bamboo	0.0513963
furniture	0.0512836
broiler	0.0512466
cotton	0.0508978
wheat	0.050762
salt	0.0506949
dirt	0.0506365
wool	0.0504734
aluminium	0.0504478
trash	0.0503857
Plywood	0.0503538
herb	0.0503529
urea	0.0502988
"french fries"	0.0501837
clay	0.0501639
potato	0.0500917
cardboard	0.0499515
coffee	0.0499027
flour	0.0498945
"first-aid kit"	0.0498514
cheese	0.0495321
debris	0.0494917
bread	0.0494463
marinade	0.0494143
plutonium	0.0492848
petrol	0.0492376
slag	0.0490738
shrimp	0.048949
oven	0.048931
"precious metal"	0.0488453
onion	0.0487371
phosphorus	0.0486899
lard	0.0486342
nitrogen	0.0486214
petrochemical	0.0484583
"mosquito net"	0.048413
pesticide	0.0484127
pork	0.0483483
foam	0.0483469
porridge	0.0482997
cobalt	0.0482556
"electric power"	0.0480058
oxide	0.0479931
"fish meal"	0.0479195
"milk powder"	0.0478905
textile	0.0476675
wax	0.0474464
purple	0.0474411
rattan	0.0474046
chocolate	0.0471633
Zinc	0.0471587
marble	0.0471047
paintbrush	0.0468553
hardwood	0.0468058
newsprint	0.0467379
brine	0.0467119
"fountain pen"	0.0467034
sorghum	0.0464761
fiber	0.0464622
nut	0.0463854
"powdered milk"	0.0463376
"steel plate"	0.0462182
"raw material"	0.0461016
cream	0.046088
sheeting	0.0460431
"mineral water"	0.0460002
laminate	0.0455373
leather	0.0454505
plasma	0.0454403
Tin	0.0453346
khaki	0.045144
"hydrogen sulfide"	0.0451258
powder	0.0450618
porcelain	0.0447868
"drinking water"	0.0447151
LNG	0.0445666
"toilet paper"	0.0445612
fireplace	0.0445377
cinder	0.044487
"carbon dioxide"	0.044456
hay	0.0443532
noodle	0.0443001
by-product	0.0442992
solvent	0.0440111
"coffee bean"	0.0439182
cocoa	0.043902
Sarin	0.0435772
"water tank"	0.043574
"stainless steel"	0.0435165
))
(chard (desc 3970.39) (sims
"Swiss chard"	0.316775
Kale	0.28125
watercress	0.261813
arugula	0.247043
spinach	0.223268
lettuce	0.215993
"bok choy"	0.189898
"brussels sprout"	0.18524
cabbage	0.18338
turnip	0.183158
radish	0.175565
Collard	0.174228
celery	0.171757
cauliflower	0.169317
Broccoli	0.169212
radicchio	0.166798
Sorrel	0.165601
carrot	0.16106
leek	0.15639
Endive	0.151324
frisee	0.150083
zucchini	0.1478
asparagus	0.146674
beet	0.146647
tarragon	0.135989
cilantro	0.135327
tomato	0.132851
parsley	0.132359
onion	0.130041
"snow pea"	0.129868
"green bean"	0.127767
fennel	0.126913
scallion	0.125498
"Chinese cabbage"	0.125409
mushroom	0.123134
romaine	0.122395
Basil	0.121702
shallot	0.1208
thyme	0.1197
potato	0.118766
rutabaga	0.118309
"green onion"	0.117902
"romaine lettuce"	0.117883
"winter squash"	0.116973
chervil	0.111511
"collard greens"	0.109297
eggplant	0.108966
okra	0.10894
florets	0.108868
chanterelle	0.10835
"red onion"	0.108194
Garlic	0.107668
"cherry tomato"	0.106153
"bell pepper"	0.105071
artichoke	0.104915
"sweet potato"	0.104364
chive	0.102016
chutney	0.0997314
"pine nut"	0.099165
RHUBARB	0.0978951
chilies	0.0970128
pumpkin	0.0967665
"iceberg lettuce"	0.0962172
mint	0.0958751
squash	0.0944074
mustard	0.0937112
oregano	0.0913047
cucumber	0.0900783
pepper	0.0888653
avocado	0.0885988
pea	0.0873985
mesclun	0.0867011
dill	0.0863755
"hot pepper"	0.0858433
dandelion	0.0850422
jalapeno	0.0841016
horseradish	0.0834503
"black olive"	0.0833248
"chili pepper"	0.082544
"green pepper"	0.0825246
"shiitake mushroom"	0.0825163
"bean sprout"	0.0825066
anchovy	0.0822334
pear	0.0810718
"red pepper"	0.0807245
ricotta	0.0806443
"fava bean"	0.0802524
lentil	0.0785265
poinsettia	0.0769772
sprout	0.0765483
"goat cheese"	0.0763288
bean	0.0757758
herb	0.0753827
marjoram	0.0753311
cheese	0.0748634
"bay leaf"	0.074278
pecan	0.073082
chiles	0.0729933
Sage	0.0724977
squid	0.071589
grapefruit	0.0714927
"lima bean"	0.0708479
brie	0.070395
olive	0.0703234
pancetta	0.0695343
ginger	0.0689378
"tomato sauce"	0.0687137
"blue cheese"	0.0684295
tomatillo	0.0680804
rosemary	0.0678933
quiche	0.067528
carnation	0.0674557
pasta	0.0673181
Milkweed	0.0670526
tortellini	0.0669065
salad	0.0668443
"white bean"	0.0666106
Parmesan	0.0659942
pistachio	0.0659507
peppercorn	0.0658764
flan	0.0657072
mayonnaise	0.0655549
breadcrumb	0.0654108
mango	0.0648423
"hot sauce"	0.0647936
"food coloring"	0.0643562
ham	0.0642383
linguine	0.0640312
"pork loin"	0.0637855
shrimp	0.0636531
Chili	0.0630651
cantaloupe	0.0630546
walnut	0.06289
"potato salad"	0.0624002
peach	0.0616499
"string bean"	0.0614874
"beef tenderloin"	0.0614735
sauce	0.061359
veggie	0.0613507
macaroni	0.0611206
watermelon	0.0608812
tofu	0.0607428
puree	0.0604023
custard	0.0601271
mussel	0.0599795
noodle	0.0593507
"chocolate mousse"	0.0589405
"lemon juice"	0.0588498
Chickpea	0.0585754
fig	0.0585401
caper	0.0585322
"raw vegetable"	0.05821
coriander	0.0579545
"tomato paste"	0.0577371
"fennel seed"	0.0575743
"black-eyed pea"	0.0566471
"olive oil"	0.0565748
almond	0.0565201
"about @/@ cup"	0.0564586
cayenne	0.0560787
vermouth	0.0560373
pork	0.055793
"foie gras"	0.0557025
"chicken breast"	0.0556474
salsa	0.055595
mozzarella	0.0554693
clove	0.0552284
crumb	0.0551694
paprika	0.055124
"ground beef"	0.055076
sauerkraut	0.054996
"soy sauce"	0.0549138
parsnip	0.0548773
grape	0.0545799
lime	0.0543412
plantain	0.053892
succulent	0.0538556
"chili sauce"	0.0532966
TART	0.0532328
"egg yolk"	0.0530496
seasoning	0.0527532
brioche	0.0526552
plum	0.0520722
"garlic clove"	0.0519879
polenta	0.0519406
veal	0.0517731
"sweet corn"	0.0516791
vinegar	0.0516718
scallop	0.0515303
crust	0.0512806
ketchup	0.051271
hazelnut	0.0512424
broth	0.0511875
seaweed	0.0511683
ginkgo	0.0511391
"sour cream"	0.0509933
juice	0.0507443
lemon	0.0507409
prosciutto	0.0507396
nut	0.050647
))
(Chardin (desc 1263.4) (sims
Gauguin	0.120195
Gogh	0.116553
Rubens	0.115509
Manet	0.108825
Ingres	0.108072
Modigliani	0.100945
Delacroix	0.0990817
Chagall	0.0968938
Velazquez	0.0967406
Klee	0.0784257
Goya	0.0779341
"van Gogh"	0.0737086
"Vincent van Gogh"	0.0720966
Warhol	0.065955
Rembrandt	0.0639504
Degas	0.0631055
Matisse	0.062405
Kooning	0.0623818
"El Greco"	0.061037
Sade	0.06079
Cristina	0.0604106
Carrera	0.0582357
Welty	0.0579016
Chaucer	0.0570612
Beauvoir	0.0553314
Casas	0.0548825
Jong	0.0548258
Barros	0.0546365
Nietzsche	0.0544667
Bruijn	0.0536094
Voltaire	0.0531513
Madeleine	0.0530966
Almeida	0.0529008
Renoir	0.0528484
"Francis Bacon"	0.0523427
Kinkade	0.0520835
Hitchens	0.0518559
Saint-Exupery	0.0515501
Bonnard	0.0512334
Socrates	0.0507763
siecle	0.0506041
Brasil	0.0505164
Provence	0.0497805
"De Palma"	0.0496245
Allchin	0.0494595
Goethe	0.0494307
"Salvador Dali"	0.0487957
Borges	0.0482336
Boer	0.048042
Klerk	0.0479504
Fuente	0.047707
Puente	0.0474953
Greenwald	0.0471928
Borbon	0.0471038
Heade	0.0470586
Guerra	0.0469113
Stepinac	0.0467568
Lyman	0.0461389
Ofili	0.0461176
Rodrigo	0.045859
Pushkin	0.0450458
miro	0.0449324
pompadour	0.0448662
Schaeffer	0.0446854
Picassos	0.0446706
Zapata	0.0443768
Reinhardt	0.0442971
Edmondson	0.0440766
Theroux	0.0439821
Rosario	0.0438813
Liberace	0.0438025
Mello	0.0436401
"Abu Nidal"	0.043471
Villar	0.0434583
Oro	0.0433442
Macoris	0.0432072
Weiner	0.0429105
Allende	0.0428187
Vina	0.0427198
Orwell	0.0426545
Azad	0.0425455
Orleans	0.0424803
Renteria	0.042418
Aquino	0.0422606
Ville	0.0421545
"Van Dyck"	0.0421358
Cezanne	0.0420493
Sara	0.0417056
Henning	0.0412373
Frankenheimer	0.0410048
Schell	0.040933
Duchamp	0.0408415
Avila	0.0406418
"Chris Ofili"	0.0404654
Lange	0.0403805
psalm	0.0402449
Brando	0.0402447
Thoreau	0.0401407
))
(Chardonnay (desc 12823.4) (sims
"Pinot noir"	0.374624
merlot	0.333181
Zinfandel	0.328845
"Sauvignon blanc"	0.308483
"Cabernet Sauvignon"	0.305639
Riesling	0.273778
Cabernet	0.273202
Syrah	0.250325
"Chenin blanc"	0.226744
"Pinot blanc"	0.187626
"red wine"	0.158446
wine	0.151898
"white wine"	0.135599
"sparkling wine"	0.133791
grape	0.131901
Chianti	0.121867
Beaujolais	0.111285
Rhone	0.111185
champagne	0.0998142
Cognac	0.0978494
franc	0.0910416
Burgundy	0.0896664
"Dom Perignon"	0.0847559
aperitif	0.0784076
tequila	0.0782191
Bordeaux	0.0758758
cider	0.0742377
scotch	0.0722535
brandy	0.0721384
Beer	0.0714119
Blanc	0.0695195
"cranberry juice"	0.0685132
vodka	0.0683489
whisky	0.067533
pinot	0.0673151
winery	0.0673124
bubbly	0.0672477
"hot chocolate"	0.0672259
"iced tea"	0.0668056
appellation	0.0666909
lemonade	0.0658069
sherry	0.0640801
caviar	0.0634903
juice	0.0634822
vintage	0.0624065
Margarita	0.0621603
dessert	0.0618894
cola	0.0616919
melon	0.0616127
winemaker	0.0609659
Vineyard	0.0607848
Shiraz	0.0607509
rum	0.0605453
"Diet Coke"	0.0602447
"California wine"	0.0596782
"mineral water"	0.0594979
Calvados	0.0591986
"chicken stock"	0.0580104
liqueur	0.0574796
"orange juice"	0.0573559
"apple juice"	0.0571368
"root beer"	0.0570781
whiskey	0.0568735
ale	0.056115
cappuccino	0.0556214
Martini	0.0552444
lager	0.0538991
bourbon	0.0533718
vintner	0.052715
soda	0.0524822
beverage	0.0516932
vinegar	0.051138
coffee	0.0511175
"fruit juice"	0.0509299
tea	0.0505532
fruit	0.0502719
"grapefruit juice"	0.0498766
"soft drink"	0.0490969
varietals	0.0490867
truffle	0.0489181
stout	0.0487549
chocolate	0.0480914
vegetable	0.0477838
liquor	0.0476186
absinthe	0.0473802
gin	0.0469858
Gallo	0.0469728
soup	0.04677
cotton	0.0462992
cuisine	0.0462274
"tap water"	0.0461434
ketchup	0.0456684
blueberry	0.045325
Guinness	0.0451708
Budweiser	0.0449058
croissant	0.0447938
"Warner Books"	0.0442986
"Napa Valley"	0.0440562
oyster	0.0437983
malt	0.0436206
pizza	0.0435491
Taxol	0.043445
"ice water"	0.0434339
sauce	0.0434119
peach	0.0433867
"olive oil"	0.0433823
tomato	0.0431969
shallot	0.0431777
pear	0.0431078
"green tea"	0.0431047
cocktail	0.0430785
syrup	0.043016
booze	0.0428389
Muscat	0.0427832
broth	0.0427372
latte	0.0425124
citrus	0.0424938
"foie gras"	0.0424109
steak	0.0423778
"cup of tea"	0.0423104
Cherry	0.042249
"black tea"	0.0419886
berry	0.0416239
"ground cover"	0.0415354
"coconut milk"	0.0414217
salad	0.0413734
banana	0.040837
cheese	0.040672
barley	0.0404379
vine	0.0404291
"hot pepper"	0.0402825
sushi	0.0402325
smoothie	0.0401769
))
(Charest (desc 977.535) (sims
Yadav	0.136563
Tsvangirai	0.120073
Venables	0.114083
Beazley	0.112571
Kennelly	0.108272
Ruehe	0.108239
Diouf	0.107197
Kesri	0.104125
Meguid	0.103903
Wetherell	0.102404
Glendening	0.0994605
Verney	0.0992806
Carollo	0.0990685
Magaziner	0.0969045
Zacarias	0.0963884
"Perez Balladares"	0.0952396
Serpa	0.0942528
Talebi	0.093784
Vacco	0.0935945
Molinari	0.0919226
"de Charette"	0.0918171
Ishihara	0.0918028
Paxon	0.0917972
McInnis	0.0914876
Samuelson	0.0902177
Gormley	0.0893016
Bhattarai	0.0892583
Hoffa	0.0885472
Rodionov	0.0884388
Ozawa	0.0876712
Inhofe	0.0872792
Ciampi	0.0872387
Menchu	0.0870968
Bouchard	0.0864706
Hagelin	0.0863005
Ikeda	0.0862145
Tomba	0.0859579
Tanaka	0.08526
Mukora	0.0850226
Harshbarger	0.0849495
Koirala	0.0847274
Whittingham	0.0844777
Shareh	0.08338
"Kenneth Clarke"	0.0831939
Rhee	0.083154
Grasso	0.082966
Hartwig	0.0826439
Heyns	0.0816523
LaPierre	0.0815208
McGreevey	0.0814847
Poplasen	0.0812262
Eyadema	0.0811868
Arens	0.0811611
Longo	0.081121
Schrempp	0.0810787
Chabot	0.0810513
Advani	0.0809796
Waigel	0.0809198
Schumer	0.0808749
Klink	0.0808198
Jayasinghe	0.0806907
Daft	0.0805666
Ferraro	0.0801436
Goldin	0.0800876
Keenan	0.0799095
Granic	0.0796452
Rove	0.0793948
Rais	0.0787753
Anand	0.0784513
Polgar	0.0783525
Mokhehle	0.0782368
Bruton	0.0782115
Wagoner	0.078192
Mejia	0.0779026
"De Klerk"	0.0778424
Mohajerani	0.0776196
Smaltz	0.0775361
Noboa	0.077385
Izetbegovic	0.0773027
Rifkind	0.0772357
Grammer	0.0771332
Dukakis	0.0771159
Ballmer	0.076957
Kajiyama	0.0769353
Gauthier	0.0763679
Shevardnadze	0.0760892
Koehler	0.0754717
Ftorek	0.0754599
Duisenberg	0.0754166
Osborne	0.0753559
Alarcon	0.0751463
Tarawneh	0.0750058
Ouattara	0.0749433
Kulikov	0.0749164
Rossello	0.0749106
Loroupe	0.0748208
"Helen Clark"	0.0747932
Modell	0.0746733
Moratinos	0.0740368
Chenoweth	0.0738608
Dunbar	0.0736329
noone	0.0728497
Matthau	0.0728465
McCurry	0.0728427
Scharping	0.0727429
Turabi	0.0726838
Megret	0.0724474
Katsav	0.0722588
Danner	0.072125
"Israeli Foreign Ministry"	0.0719671
Brundtland	0.0719277
Vasile	0.0717357
Lungren	0.0717065
Solis	0.0715026
Camdessus	0.0713438
Mineta	0.0712968
Harmoko	0.0711019
D'Amato	0.0709455
Kumaratunga	0.0707922
conger	0.0707539
"Secretary General Esmat Abdul-Meguid"	0.0707024
Malu	0.0706222
Millner	0.0705894
Mandelson	0.0703486
Golisano	0.0703105
Kazhegeldin	0.0701575
"McCaughey Ross"	0.0700741
Biffle	0.0696825
Shahak	0.0696073
Mauro	0.0695739
Hallinan	0.0692417
Seizinger	0.0690846
Boldon	0.0689998
Okada	0.0688255
Zeroual	0.0687839
Rawabdeh	0.0681416
Fong	0.0679526
Sahnoun	0.0679308
"U.S. Defense Department"	0.0679127
"Sonia Gandhi"	0.0678994
Ammiano	0.0678405
Campas	0.0677626
Brazile	0.0676738
Szabo	0.0676722
Kostunica	0.0676622
Tierney	0.0676217
Berri	0.0675985
Gartner	0.0675188
Masire	0.0673629
Madrazo	0.0673466
Aventajado	0.06724
Murayama	0.0672292
Samper	0.0672132
Nateq-Nouri	0.0668334
Labastida	0.0666525
Dodik	0.0665973
Kasyanov	0.0665393
Spitzer	0.0665342
McLeod	0.0663007
Lafontaine	0.0662855
Shui-bian	0.0662714
Jayakumar	0.0662707
Guei	0.0661894
gilder	0.0661562
Boueiz	0.0661067
Trudeau	0.0656831
Breuer	0.0656156
Ashcroft	0.0655095
Banzer	0.0654183
Rosenblatt	0.065368
Rogan	0.0653577
Yastrzhembsky	0.0653126
Choate	0.0652675
Velayati	0.0651679
Garcetti	0.0651353
Bizimungu	0.0650785
Joklik	0.0649457
Stepinac	0.064887
Tsang	0.06486
Lipponen	0.0648045
Kroll	0.0647793
Levitt	0.0647486
Bolger	0.0647164
Cavallo	0.0645149
Feingold	0.064493
Nadler	0.0644131
Blazevic	0.0644038
Beasley	0.0642352
Moseley-Braun	0.0641378
Rossotti	0.0640224
"weather forecaster"	0.0639532
Fieger	0.0639299
Akbar	0.0638963
Skuratov	0.0635616
Abernathy	0.0635232
Akayev	0.063272
Hamzah	0.0632601
Torricelli	0.0631955
Mahuad	0.0631104
Baca	0.0630752
))
(charge (desc 258549) (sims
allegation	0.24797
accusation	0.213752
"murder charge"	0.165162
count	0.16282
case	0.158636
claim	0.154363
conviction	0.145607
indictment	0.145244
complaint	0.138994
"fraud charge"	0.134454
investigation	0.133431
lawsuit	0.131539
crime	0.127325
violation	0.12722
conspiracy	0.123353
suspicion	0.121237
fee	0.120962
prosecution	0.115626
evidence	0.114812
perjury	0.113557
murder	0.112848
fraud	0.112602
cost	0.110718
action	0.107803
incident	0.106448
scandal	0.105855
trial	0.105233
assault	0.105129
abuse	0.104806
theft	0.104007
obstruction	0.102779
report	0.101741
manslaughter	0.100962
criticism	0.10089
act	0.09989
felony	0.0994751
arrest	0.099247
racketeering	0.0985647
offense	0.0985407
bribery	0.0970864
attack	0.0945557
issue	0.0942616
threat	0.0940897
suit	0.0935056
question	0.0929447
payment	0.0927064
statement	0.0922767
problem	0.0918181
penalty	0.0914685
request	0.0903648
assertion	0.090001
conduct	0.0898923
inquiry	0.0897442
tax	0.0893565
decision	0.0891088
wrongdoing	0.08897
expense	0.0880039
proposal	0.0878297
sentence	0.0876244
possession	0.0874253
attempt	0.0874137
misconduct	0.0872798
warrant	0.0868308
activity	0.086784
rumor	0.0862186
verdict	0.0862022
suggestion	0.0861427
argument	0.0856
corruption	0.0845881
plan	0.0841257
fine	0.0840107
killing	0.0839839
testimony	0.0839661
misdemeanor	0.0836582
matter	0.083647
"tax evasion"	0.0831694
rape	0.0831393
finding	0.0825019
order	0.0820623
homicide	0.0820279
"legal action"	0.0816525
proceeding	0.081652
kidnapping	0.0815687
law	0.0809053
extortion	0.0806855
violence	0.0806766
demand	0.0805976
burglary	0.0805373
bill	0.0799195
robbery	0.0795313
probe	0.07915
judgment	0.0784059
sanction	0.0780879
liability	0.0778622
use	0.0775902
disclosure	0.0770178
measure	0.0769414
account	0.0766939
policy	0.0764957
punishment	0.0758726
"money laundering"	0.0757618
involvement	0.0756708
failure	0.0756592
number	0.0755706
price	0.0755481
appeal	0.0754725
amount	0.0754528
provision	0.0752915
damage	0.0749855
harassment	0.0748261
rate	0.0747977
effort	0.074729
remark	0.0746744
impeachment	0.0743494
practice	0.0743427
article	0.074151
offence	0.0741237
detail	0.0739392
condition	0.0739249
process	0.0737234
scheme	0.07372
sale	0.0733657
plea	0.0730422
offer	0.0730243
ruling	0.0729846
suspension	0.0728161
litigation	0.0727044
espionage	0.0725709
bid	0.0725034
regulation	0.0723432
challenge	0.0722929
loss	0.0722746
fact	0.0722267
procedure	0.072191
move	0.0721759
result	0.0721442
treason	0.0720092
possibility	0.0719309
operation	0.0719243
tactic	0.0719162
rule	0.07183
irregularity	0.0718095
term	0.071774
bombing	0.0717179
Dismissal	0.0713225
situation	0.0709044
kind	0.0707651
restriction	0.0707464
campaign	0.0705928
document	0.0705763
deal	0.0705512
"sexual assault"	0.0703613
form	0.0702286
risk	0.0702242
"arrest warrant"	0.0700944
recommendation	0.0700779
comment	0.0698629
call	0.0698377
requirement	0.069826
change	0.0698019
Death	0.0697778
control	0.0694679
surcharge	0.069011
misuse	0.0689894
program	0.0689738
some	0.0688018
service	0.0686584
warning	0.0685839
denial	0.0685369
concern	0.0682669
behavior	0.0681242
legislation	0.0681114
protest	0.0680231
fear	0.0677366
benefit	0.0676001
genocide	0.0675893
controversy	0.0674158
shooting	0.0673247
increase	0.0672354
"war crime"	0.0671324
accused	0.0671283
motion	0.0670071
slaying	0.066682
position	0.0666536
aspect	0.0665383
system	0.0664693
pressure	0.0663948
terrorism	0.0663361
petition	0.0662306
role	0.0660184
dispute	0.0660005
story	0.0659213
discrimination	0.0658448
need	0.0658183
method	0.0656365
detention	0.0654999
strategy	0.0651124
transaction	0.0650613
vote	0.0650441
review	0.0649389
))
("charge card" (desc 1771.2) (sims
"bank card"	0.240181
debit	0.150765
"credit card"	0.135252
Mastercard	0.086382
"calling card"	0.0848114
"building society"	0.0798264
"municipal bond"	0.0786606
"checking account"	0.0771222
Telecoms	0.0761631
"brokerage account"	0.0755771
ISP	0.0755085
telemarketing	0.0738986
escrow	0.0722999
"tape measure"	0.0680142
"Washington Mutual"	0.0668162
E-ZPass	0.0663948
"weather satellite"	0.0658504
videophone	0.0650929
stethoscope	0.0641939
"mail order"	0.0635169
leasing	0.0634434
copier	0.0628545
forwarding	0.0627296
"wireless telephone"	0.0625632
"prescription medicine"	0.0623022
"consumer product"	0.0620959
PDA	0.0620618
"back office"	0.061475
"cellular telephone"	0.061374
Menatep	0.0611602
vending	0.0611293
reinsurance	0.0609396
"theatrical production"	0.0609045
"consumer credit"	0.0606879
"Medicare HMO"	0.0600416
cellphone	0.0599513
"cash machine"	0.0588844
"septic tank"	0.0588017
abacus	0.058717
"fishing license"	0.0585388
"bond trading"	0.0583315
"magnifying glass"	0.0581265
"credit union"	0.0576641
"account statement"	0.0562634
generics	0.0561073
"M&AMP;Ms"	0.0555502
"fiber optics"	0.0554536
"automated teller machine"	0.055421
"identification number"	0.0553766
Benex	0.0552869
"certificate of deposit"	0.0548697
"automatic teller machine"	0.0547099
checkbook	0.0546596
Fiorina	0.0545234
nightstick	0.0545079
"incentive program"	0.0543324
"investment house"	0.0540575
hand-holding	0.0540302
"cash register"	0.0536906
"specialty chemical"	0.0535376
"wrapping paper"	0.0529314
"clock radio"	0.0528119
"application program"	0.0527969
calculator	0.0523872
"voting machine"	0.0522105
recapitalization	0.0522016
asp	0.0520368
"sailing vessel"	0.0518511
"securities business"	0.051801
"snack food"	0.0515118
clicker	0.0512899
"communications service"	0.051239
issuers	0.0511631
metropolises	0.0510048
"retirement account"	0.0509401
warehousing	0.0509243
"musical score"	0.0508938
"season ticket"	0.0507913
"degree program"	0.0502668
issuer	0.0502315
registry	0.0501712
"building product"	0.0497884
password	0.0497649
videogame	0.0496181
"yellow pages"	0.0495727
"spy satellite"	0.049292
pager	0.0491167
thrift	0.0490877
Burnt	0.0489992
annuity	0.04892
semicolon	0.0488271
"hearing aid"	0.0483818
"tax avoidance"	0.0483508
"retirement plan"	0.0481959
raincoat	0.0481159
"Palm Pilot"	0.0481
"financial organization"	0.0480944
forklift	0.0478377
"lending institution"	0.0477639
"driver's license"	0.0477498
lifer	0.0475943
overdraft	0.0475389
wrongdoer	0.047324
"savings account"	0.047288
"ballpoint pen"	0.0472741
revolver	0.0472715
"car insurance"	0.0471867
"key market"	0.0471827
"bond offering"	0.0471362
"billion dollar"	0.0469413
"utility program"	0.0469232
harder	0.0469027
"chain store"	0.04681
bondholder	0.046807
supercomputer	0.0467052
UBS	0.0465656
"gas stove"	0.0465616
"investment portfolio"	0.0465494
stationery	0.0464854
"filing cabinet"	0.0463921
"slush fund"	0.0463095
"mainframe computer"	0.046262
shipbuilding	0.0461882
"credit bureau"	0.0461425
Concordes	0.0456889
"memory chip"	0.0456303
widget	0.045524
refrigeration	0.0453574
notepad	0.0453515
"disk drive"	0.0452103
pseudoephedrine	0.0451465
"life insurance"	0.0451231
"information service"	0.0450962
confectionery	0.0450161
tux	0.0450131
"penny stock"	0.0448592
Hotmail	0.0448285
"clearing house"	0.0447183
e-business	0.0445774
"telephone operator"	0.0445391
business-to-business	0.0444982
"stock certificate"	0.0444868
Harrods	0.044323
"Citigroup Inc."	0.0442809
menswear	0.0440208
"tax liability"	0.04386
"line of business"	0.0438523
toolbox	0.0438502
"B share"	0.0437891
"boarding pass"	0.0437532
"temporary worker"	0.0437028
"beach towel"	0.0436644
"monetary fund"	0.0434389
"shopping bag"	0.0434289
URL	0.0432067
"Baby Bell"	0.0431964
"takeover attempt"	0.0429706
bare-bones	0.0428856
"finance company"	0.0428156
"white meat"	0.0426924
turbot	0.042679
glassware	0.0424224
multibillion	0.0423487
"mailing address"	0.0423298
"black market"	0.0423057
"bond issue"	0.0422696
factoring	0.0422234
"bankruptcy proceeding"	0.0421971
peripheral	0.0421854
foundry	0.0421547
"golf equipment"	0.0421032
"shopping cart"	0.0420409
"marketing program"	0.0420246
"nuclear-powered submarine"	0.0419765
preteen	0.0419728
Reauthorization	0.0419606
"nail polish"	0.0419259
"hunting knife"	0.0419134
"desktop computer"	0.0419014
"portable computer"	0.0418588
Renminbi	0.0418012
barbell	0.0417374
"time machine"	0.0417303
"department employee"	0.0416874
grandmaster	0.041616
REALTY	0.0416104
"sparkling wine"	0.0415761
"New Beetle"	0.0415338
"First USA"	0.0415295
A@XX	0.0415017
"Miller Lite"	0.0414187
"spring water"	0.0413429
Webcast	0.0413288
"measuring cup"	0.0413152
fave	0.0411402
playlist	0.0411259
"trust company"	0.0411167
"deposit box"	0.0410933
Microelectronics	0.0410552
nuts-and-bolts	0.0410509
))
("charge sheet" (desc 2752.47) (sims
"legal brief"	0.162719
affidavit	0.114382
"arrest warrant"	0.109368
"proxy statement"	0.0937824
prospectus	0.093278
no-confidence	0.0898985
"finding of fact"	0.0881541
"income tax return"	0.0870271
"tax return"	0.086694
"murder charge"	0.0824812
"fraud charge"	0.0818102
"reorganization plan"	0.0793361
Lien	0.0766523
"legal document"	0.0753115
"progress report"	0.0738799
"libel suit"	0.0735545
"financial statement"	0.0713725
"search warrant"	0.0702007
counterclaim	0.0674274
dossier	0.0652661
"medical report"	0.0616118
"Central Bureau of Investigation"	0.0614944
"enforcement action"	0.0607426
"legal proceeding"	0.0595979
"summary judgment"	0.058296
summons	0.0581659
"white paper"	0.0581297
encyclical	0.0574733
injunction	0.0566875
writ	0.0564435
"Cox Report"	0.0563828
"insurance claim"	0.0547073
summary	0.054399
"official document"	0.0520079
citation	0.0514691
Malan	0.0506459
"tax form"	0.0504452
judgement	0.0502831
fatwa	0.0493163
rebuttal	0.0492111
"final judgment"	0.0490731
"police action"	0.0490295
pleading	0.0488733
pamphlet	0.0482861
"instruction manual"	0.0479632
"Joint Declaration"	0.0479428
grating	0.0475128
manifesto	0.0472017
"Dow Corning"	0.0471498
referral	0.0467524
"death warrant"	0.045601
animus	0.0451536
"loan application"	0.0451159
booklet	0.0439172
T-bonds	0.0436903
"false statement"	0.0435848
co-counsel	0.0434104
"earnings report"	0.0432167
"Revised Version"	0.0429508
"tender offer"	0.042404
"battle plan"	0.0421164
"defense lawyers"	0.041955
co-accused	0.0417636
"Turkish Foreign Ministry"	0.0417093
complainant	0.0412363
"news bulletin"	0.0411573
"U.S. Defense Department"	0.0409984
"contingency plan"	0.0401761
))
(charger (desc 17067.2) (sims
"San Diego Chargers"	0.206891
Bengals	0.202406
Redskin	0.185876
BEARS	0.183977
packer	0.183349
Seahawks	0.178667
Raven	0.177731
falcon	0.176594
Giants	0.176198
bronco	0.167879
Eagles	0.167442
Steelers	0.163548
ram	0.1587
"Indianapolis Colts"	0.158157
oiler	0.155507
BUCCANEER	0.150903
panther	0.149232
Bucs	0.14921
dolphin	0.149124
cowboy	0.148382
"Washington Redskins"	0.148062
patriot	0.145064
"New York Jets"	0.14237
"New York Giants"	0.141551
raider	0.141482
Viking	0.13892
cardinal	0.138734
"San Francisco @@ers"	0.138386
"Miami Dolphins"	0.137851
colt	0.136191
"Dallas Cowboys"	0.134686
Saint	0.132786
"Carolina Panthers"	0.129987
"Minnesota Vikings"	0.12903
Jaguar	0.127976
"ATLANTA FALCONS"	0.125884
"St. Louis Rams"	0.125272
wildcat	0.123997
"Denver Broncos"	0.123861
matador	0.121402
"Cincinnati Bengals"	0.120966
"Philadelphia Eagles"	0.119396
"Tar Heels"	0.118989
Seminoles	0.11843
gamecock	0.118376
Huskers	0.118217
"Green Bay Packers"	0.118151
Trojan	0.117887
bulldog	0.116491
"Chicago Bears"	0.11504
Sonics	0.113402
buckeye	0.112727
"Tennessee Titans"	0.112384
Celtics	0.111791
"Green Bay"	0.111647
Longhorn	0.111635
"Tampa Bay"	0.111358
Aggies	0.11111
bruin	0.1111
"Oakland Raiders"	0.111015
"Crimson Tide"	0.110773
"Seattle Seahawks"	0.110751
titan	0.110423
MetroStars	0.110218
"Cleveland Browns"	0.110173
"Baltimore Ravens"	0.110007
"Nittany Lions"	0.109823
"New Orleans Saints"	0.109567
"Pittsburgh Steelers"	0.109493
Phillies	0.109237
Boilermakers	0.109159
"Buffalo Bills"	0.108092
cougar	0.108
Padre	0.107753
"Detroit Lions"	0.107163
Cavs	0.106762
"Tampa Bay Buccaneers"	0.106557
"Kansas City Chiefs"	0.104906
clipper	0.104708
jet	0.104152
"White Sox"	0.10411
husky	0.103495
Sooners	0.102625
"New England Patriots"	0.102536
"Red Raiders"	0.102251
lion	0.102176
"Oregon State"	0.102063
Orioles	0.101508
"Penn State"	0.100798
Denver	0.100564
"blue jay"	0.0998267
ASU	0.0996279
Carolina	0.099528
grizzly	0.0995081
ASTROS	0.0990885
USC	0.0989101
Vols	0.0988905
"Los Angeles Clippers"	0.0983717
pacer	0.0974983
"Red Sox"	0.0972579
diamondback	0.0970315
Hornet	0.0969457
"Miami Heat"	0.0964609
sixer	0.0964215
piston	0.0963566
"St. Louis Cardinals"	0.0957739
maverick	0.0954561
A's	0.095444
hawk	0.0953648
ranger	0.0950664
Oakland	0.0949124
"Red Wings"	0.0946852
Clemson	0.0946713
islander	0.0943006
Royals	0.0939924
"Los Angeles Lakers"	0.0939374
Hawkeyes	0.0937111
Starzz	0.093683
"Chicago Bulls"	0.0932865
cavalier	0.093179
"San Diego"	0.0930696
dodger	0.0923068
Knicks	0.0922671
Gators	0.0921751
cub	0.0920413
Canuck	0.0920389
Jacksonville	0.0916282
brave	0.091521
UCLA	0.0914274
mariner	0.0913342
badger	0.0913257
Lakers	0.0912637
"Fighting Irish"	0.0911146
Minutemen	0.0909791
Lobos	0.0908774
NAU	0.0906874
Cincinnati	0.0905133
"Los Angeles Kings"	0.0900292
"Los Angeles Dodgers"	0.0898392
marlin	0.0897055
LSU	0.0894881
Sox	0.0893573
Pittsburgh	0.0891335
"Maple Leafs"	0.0889484
BYU	0.088573
"Washington Wizards"	0.0885007
"Kansas State"	0.0884786
Buffalo	0.087968
Rutgers	0.0878326
TCU	0.0878215
CSUN	0.0877511
"devil ray"	0.0877234
"Florida State"	0.0874979
bull	0.0874527
Mets	0.0873301
"Iowa State"	0.0867613
Wolfpack	0.086498
"Arizona State"	0.0862828
Canadiens	0.0862575
"Houston Rockets"	0.086176
Wolverine	0.0861034
pirate	0.0860815
Pepperdine	0.0859674
Purdue	0.0858739
flyer	0.0855335
"Ohio State"	0.0854394
"Milwaukee Bucks"	0.0848321
"Horned Frogs"	0.0845153
Detroit	0.0844428
spur	0.0842979
Blackhawks	0.0840587
Cleveland	0.0838381
K-State	0.0836087
"Indiana Pacers"	0.0834103
Expo	0.0833898
"Mississippi State"	0.0833838
Raptor	0.083156
sabre	0.0830071
"Atlanta Braves"	0.0830038
"yellow jacket"	0.0829886
Cornhusker	0.0828804
"Boston Red Sox"	0.0825478
"New York Mets"	0.0823895
"Cincinnati Reds"	0.082052
"San Diego Padres"	0.0819161
Hokies	0.0818783
"New York Yankees"	0.0816512
Dallas	0.0815164
Cal	0.0814332
"Arizona Cardinals"	0.0812775
Spartan	0.0812601
"Trail Blazers"	0.0806254
"Texas Tech"	0.0805259
Minnesota	0.0804064
"Charlotte Hornets"	0.079907
angel	0.0798958
"blue devil"	0.0795507
Baltimore	0.0794349
tech	0.0793772
"Chicago Cubs"	0.0793292
))
(Charikar (desc 1351.79) (sims
Taloqan	0.29756
Jayapura	0.23411
Manado	0.20177
Juba	0.198604
Kupang	0.193197
Quetta	0.182702
Jalalabad	0.174917
Astana	0.174653
Matadi	0.146427
Irbil	0.146238
Kuito	0.143478
Ndola	0.140748
Ibadan	0.140271
PATNA	0.137019
Peshawar	0.136746
Lucknow	0.135635
Kindu	0.132164
Medan	0.131082
Vladikavkaz	0.128168
Shiraz	0.128076
Chisinau	0.123806
Makeni	0.119594
Midrand	0.118657
"San Pedro Sula"	0.117569
Guiyang	0.117008
Sidon	0.115898
Moroni	0.115557
Mosul	0.114243
Nanchang	0.113657
Gudermes	0.1129
Medellin	0.111418
Kismayu	0.111301
Ashkhabad	0.110577
Bengkulu	0.110374
Xining	0.108921
Surabaya	0.107775
Srinagar	0.107305
Mazar-e-Sharif	0.10728
Ambon	0.107189
Bukavu	0.105759
Hyderabad	0.104863
Kabwe	0.103568
Jezzine	0.102104
Lubumbashi	0.101989
Bamako	0.101026
Hefei	0.100397
Goma	0.10011
Taiyuan	0.09988
Shijiazhuang	0.0998038
"Novi Sad"	0.0997708
Chennai	0.0986786
Changsha	0.0965972
Dushanbe	0.0964739
Mashhad	0.0962133
Nago	0.0943124
Podgorica	0.0939512
Bamiyan	0.0939005
Lanzhou	0.0936324
Haikou	0.092513
Xian	0.0918117
Pereira	0.0915442
Zhengzhou	0.0906317
Yinchuan	0.0904389
Mbabane	0.0895749
Mazar-i-Sharif	0.0889842
CHANGCHUN	0.0886334
Jinan	0.0883589
Pancevo	0.0875302
Beira	0.0874784
Posoltega	0.0870183
Kitwe	0.0862581
Yerevan	0.0861774
Tripoli	0.0858755
Nanning	0.0851919
Dili	0.084904
Kandy	0.0846899
HUHHOT	0.0845116
Lahore	0.0833636
Baotou	0.0827571
Vilnius	0.0819757
Badme	0.0810899
Makhachkala	0.0807186
Bishkek	0.0806711
Bangalore	0.0805314
"Anlong Veng"	0.0794229
Urumqi	0.079365
Mankulam	0.0788314
Urus-Martan	0.0786068
"San Cristobal"	0.0778652
"Banja Luka"	0.077674
Harbin	0.0773672
Kisangani	0.0772889
Kisumu	0.0757564
Kilinochchi	0.0755706
Tashkent	0.0755287
Kalemie	0.0754927
Tbilisi	0.0749128
Srbica	0.0746983
Hohhot	0.0746933
Tapachula	0.0746695
Vavuniya	0.0731042
Asuncion	0.0728927
Ballymoney	0.0727488
Nakuru	0.0724864
Andulo	0.0716664
Bangui	0.0716503
Jaffna	0.0711591
Merca	0.07078
Windhoek	0.0706729
Sirte	0.07006
Gulu	0.0699916
Conakry	0.0696468
Lhokseumawe	0.0689158
Vitoria	0.068784
Bandung	0.068599
Blaine	0.0683916
Gaborone	0.0678856
Arad	0.0677873
Cartagena	0.0677677
Durres	0.0664941
Huambo	0.0664582
Beersheba	0.0657396
Maseru	0.065721
Podujevo	0.0655993
Minsk	0.0654165
Asmara	0.0650725
Bujumbura	0.0647736
Krasnoyarsk	0.0636598
"Elephant Pass"	0.0635169
Khost	0.0633294
Abidjan	0.0633043
"Ulan Bator"	0.0632757
Bushehr	0.0631072
Kaduna	0.0630752
Ensenada	0.0630119
Muscat	0.0629848
"Kosovska Mitrovica"	0.0627458
Kizlyar	0.0623503
Kragujevac	0.0622998
Ouagadougou	0.0621694
"North West Frontier Province"	0.0620065
MANAMA	0.0619531
Denpasar	0.0619205
"Port Elizabeth"	0.0617049
SENDAI	0.0612885
Cabinda	0.0605292
Tallinn	0.0603062
Ashkelon	0.0601159
Warri	0.0597628
Diyarbakir	0.0596323
airstrip	0.0595559
Saida	0.0595498
Kuching	0.0593759
Calcutta	0.0591886
Mina	0.0591468
Novosibirsk	0.0591005
Waterville	0.0590871
Argun	0.0586132
Almaty	0.0585299
Aachen	0.0585109
Shashi	0.0579715
Limassol	0.0579083
Mitrovica	0.0575539
Beaufort	0.0574446
Salvador	0.0574193
Palembang	0.0571424
Kandahar	0.0570501
Krakow	0.0569355
Moshi	0.0567331
Multan	0.0567266
Aswan	0.056661
"CHIANG MAI"	0.0566512
Madras	0.056477
Catania	0.0563823
"Siem Reap"	0.056171
Klagenfurt	0.0560534
Baalbek	0.0560147
"Santo Domingo"	0.0559701
Jolo	0.0559039
Bulawayo	0.0558364
Atambua	0.0557072
Merida	0.0556818
"Camp Pendleton"	0.0556138
PEC	0.0554212
"military position"	0.0552588
"Sinai Peninsula"	0.0551258
Pelham	0.0547994
Orahovac	0.0545551
Luoyang	0.0544013
Sausalito	0.0540745
Suva	0.0538341
Yaounde	0.0536364
Paphos	0.0535936
Halifax	0.0534565
Murmansk	0.0533037
Ljubljana	0.0529813
Rafah	0.0529401
NIS	0.0527103
"Qinghai Province"	0.0524914
Haicheng	0.0524404
))
(chariot (desc 5177.63) (sims
carriage	0.090491
Buggy	0.0839479
sleigh	0.0731976
"stock car"	0.0580483
"sled dog"	0.0573752
donkey	0.0573152
sled	0.0559676
ox	0.0559324
lawnmower	0.0558242
"lawn mower"	0.055392
hearse	0.0551277
"Favorite Trick"	0.0542459
sailboat	0.0537026
steed	0.0533832
sarcophagus	0.0527029
mule	0.0520914
Gladiator	0.0520371
oxen	0.0494213
figurine	0.0485509
burro	0.0484126
wagon	0.0483052
Pony	0.0481834
"race car"	0.0476426
Sim	0.0475802
cockfighting	0.0475452
Goblet	0.0470047
speedboat	0.0467192
llama	0.0467099
urn	0.0460316
"musical instrument"	0.0459172
"mountain bike"	0.0457779
orb	0.0447163
outrigger	0.0443325
stele	0.0437901
rhinoceros	0.0433071
snowmobile	0.0432692
metalwork	0.0431175
worrier	0.0426805
bagpipe	0.0423243
armor	0.0422769
"Chevrolet Monte Carlo"	0.0422646
"rainbow trout"	0.0416515
hamster	0.0415345
"mushroom cloud"	0.0415334
trolley	0.0414992
menorah	0.0414874
"fire truck"	0.041351
"Jeep Cherokee"	0.0413033
tractor	0.041254
"police dog"	0.0412531
camel	0.0412166
three-mile	0.0412152
tricycle	0.0411419
Pottery	0.040994
"school bus"	0.0409548
mower	0.0407619
horseman	0.04052
vertebrate	0.0402856
ember	0.0401244
gondola	0.0400816
))
(charisma (desc 19220.9) (sims
poise	0.148313
charm	0.145386
talent	0.130608
"good looks"	0.129939
intellect	0.127628
"sense of humor"	0.124654
personality	0.122134
courage	0.120665
wit	0.120369
skill	0.117154
"sex appeal"	0.116061
tenacity	0.114012
stamina	0.112793
temperament	0.112201
toughness	0.112109
acumen	0.110229
professionalism	0.109976
originality	0.108794
sophistication	0.106152
quickness	0.10615
intelligence	0.105529
flair	0.10511
empathy	0.104372
athleticism	0.103016
self-confidence	0.102564
fortitude	0.100952
Creativity	0.100911
ability	0.0991845
versatility	0.0985654
finesse	0.0974017
humor	0.0965953
stature	0.0964302
pizazz	0.0962765
spunk	0.0954039
likability	0.0947494
ego	0.0946923
grace	0.0936073
intensity	0.0935062
competence	0.0933794
passion	0.0933219
Panache	0.092654
elegance	0.0924238
beauty	0.0920182
warmth	0.0917756
energy	0.0898805
strength	0.0894791
demeanor	0.0892393
ambition	0.0891245
instinct	0.0889126
savvy	0.0888532
enthusiasm	0.0888153
patience	0.0886047
determination	0.0884776
glamour	0.0884484
subtlety	0.0884453
credibility	0.0883396
vigor	0.0882671
dignity	0.0877003
agility	0.0874634
ethic	0.0867392
knowledge	0.0863439
humility	0.0858714
vitality	0.085596
composure	0.0851653
clout	0.0849832
pedigree	0.0849418
ingenuity	0.0847279
artistry	0.0837532
guile	0.0835589
Luck	0.082899
perseverance	0.082788
integrity	0.082744
vision	0.0826727
physique	0.0826546
brilliance	0.0824745
eloquence	0.0822078
cockiness	0.0821996
sense	0.082093
fearlessness	0.0818785
depth	0.0817055
teamwork	0.0810218
style	0.0808283
confidence	0.080758
excitement	0.0803045
compassion	0.0801221
insight	0.0794883
dexterity	0.0791521
sincerity	0.0785552
grit	0.0784921
emotion	0.0782804
wisdom	0.078193
dedication	0.0781471
self-discipline	0.078146
explosiveness	0.0781259
aura	0.0775986
knack	0.0774983
spirit	0.0772777
prestige	0.0771169
honesty	0.0771109
cleverness	0.0765914
motivation	0.0763754
dynamism	0.0762221
resourcefulness	0.076144
pride	0.0761322
intuition	0.0760363
imagination	0.0759271
"raw talent"	0.0758581
expertise	0.0755978
resilience	0.0752124
clarity	0.0742751
maturity	0.0741638
freshness	0.0738905
swagger	0.0735086
"common sense"	0.0734336
"good humor"	0.0732361
boldness	0.0731937
deftness	0.0731356
sass	0.0731349
sensibility	0.0726745
foresight	0.0726337
spontaneity	0.0723948
Chemistry	0.0720601
durability	0.0718705
bravery	0.0714799
cachet	0.0713901
presence	0.0713576
curiosity	0.0713487
trustworthiness	0.0706692
persona	0.0705938
self-esteem	0.07038
MYSTIQUE	0.0703328
verve	0.0700504
"hard work"	0.0699555
exuberance	0.0697541
aggressiveness	0.0696012
attitude	0.069201
gumption	0.0691081
shrewdness	0.0691019
loyalty	0.0691002
intangible	0.0690623
generosity	0.0689582
wealth	0.0686593
resiliency	0.0686335
sweetness	0.0685891
diligence	0.0685671
reputation	0.0682688
decency	0.068207
tact	0.0681293
notoriety	0.0681233
prowess	0.0680756
chutzpah	0.0680749
mobility	0.0680572
inclination	0.0679774
heft	0.0679681
musicianship	0.0676059
Innocence	0.0675355
oomph	0.0672811
brashness	0.0671556
resonance	0.0670188
simplicity	0.0669793
quality	0.0666517
"sense of responsibility"	0.0666316
magnetism	0.066504
consistency	0.0663111
glamor	0.0660881
firepower	0.0656132
hustle	0.065241
smile	0.0652265
sharpness	0.0651475
genius	0.0643277
sportsmanship	0.0642043
cohesiveness	0.0640976
virtuosity	0.0640524
willpower	0.0640518
diversity	0.0640233
aptitude	0.0639658
Cunning	0.0637392
ruthlessness	0.0636195
arrogance	0.0630592
sensuality	0.0630265
flexibility	0.0628289
accomplishment	0.0628172
"natural ability"	0.062417
mentality	0.062183
credential	0.062141
know-how	0.0620338
magic	0.0617811
popularity	0.0616186
modesty	0.0614954
inventiveness	0.0614755
potential	0.061303
optimism	0.0612963
kindness	0.0612504
allure	0.0611213
sexiness	0.061031
capability	0.060595
"staying power"	0.0605663
candor	0.0605134
immediacy	0.0604234
authenticity	0.0603417
))
(charismatic (desc 13908.9) (sims
"Real Quiet"	0.325607
"Silver Charm"	0.279002
Menifee	0.261341
"Fusaichi Pegasus"	0.233328
"Lemon Drop Kid"	0.220478
"Victory Gallop"	0.214225
Silverbulletday	0.197454
"Worldly Manner"	0.196149
"Excellent Meeting"	0.195489
"Red Bullet"	0.193309
"Cat Thief"	0.188607
"Prime Timber"	0.166861
"Skip Away"	0.165772
Valhol	0.163759
Behrens	0.157721
"Free House"	0.154478
vicar	0.151384
"Answer Lively"	0.142639
Daylami	0.139385
filly	0.137309
"Desert Hero"	0.136681
grindstone	0.131836
"Stephen Got Even"	0.128348
colt	0.122206
"Thunder Gulch"	0.121043
Chilukki	0.1202
horse	0.118472
Anees	0.118187
"High Yield"	0.117969
Adonis	0.113636
Budroyale	0.10995
"Cash Run"	0.109874
"Kimberlite Pipe"	0.109481
"River Keen"	0.104423
"Ecton Park"	0.102365
"Favorite Trick"	0.101176
"Running Stag"	0.100842
Preakness	0.0981894
Malek	0.0975773
"Awesome Again"	0.0963474
Baffert	0.0960741
"Puerto Madero"	0.0957351
"Touch Gold"	0.0951828
Affirmed	0.0940187
Artax	0.0931217
"Banshee Breeze"	0.0904932
gelding	0.0900091
gentlemen	0.0895117
"Seattle Slew"	0.0882645
"Winning Colors"	0.0876023
"A.P Indy"	0.083435
"straight man"	0.0811129
"Beautiful Pleasure"	0.0801421
"Forest Camp"	0.0785838
Surfside	0.0781201
"Preakness Stakes"	0.0780466
"War Chant"	0.0779006
"Kentucky Derby"	0.0767874
"Nick Zito"	0.0763732
Wondertross	0.0734886
aptitude	0.072571
Ferdinand	0.0693066
Alydar	0.0676079
"Kent Desormeaux"	0.0669419
"Old Trieste"	0.0668611
"Bob Baffert"	0.0667651
Sainz	0.0663079
"Chris Antley"	0.0651051
Unser	0.063409
"D. Wayne Lukas"	0.063368
"Jeff Gordon"	0.061972
Lukas	0.0609599
claimer	0.0605836
Ullrich	0.0593131
Derby	0.0582811
Antley	0.058213
"Arie Luyendyk"	0.0581745
"Wood Memorial"	0.057605
Duval	0.0573362
Agassi	0.0570433
thoroughbred	0.0566893
Pantani	0.0555896
"Florida Derby"	0.0554174
Gordon	0.0549156
swain	0.0547285
Tanui	0.0544
"Blue Grass"	0.0542788
"Bobby Labonte"	0.0537839
"Ricky Williams"	0.0536638
Maddux	0.0529234
"Hugh Hefner"	0.0528854
Hingis	0.052599
Jarrett	0.0525078
Greene	0.0522884
Earnhardt	0.0521545
Biffle	0.0521423
Schumacher	0.0519871
"Earnhardt Jr."	0.051856
Seles	0.0516859
"Gary Stevens"	0.0514922
Sampras	0.0514313
Novotna	0.0513972
Fiset	0.0513125
"long shot"	0.050931
"Ron Dayne"	0.0508365
O'Meara	0.0507119
Irwin	0.0506671
jockey	0.0506067
Kwan	0.0502216
"Steffi Graf"	0.0501413
"Marion Jones"	0.0499981
"Maurice Greene"	0.049892
Davenport	0.049886
"triple crown"	0.0496955
Luyendyk	0.0495522
trainer	0.0494506
Capriati	0.0493128
"Mike Smith"	0.0492961
Montgomerie	0.0492825
Hal	0.0490989
Hentgen	0.0490965
Barrasso	0.0489155
Labonte	0.0487168
Burton	0.0486036
Krone	0.0482699
Sayonara	0.0481058
"Koji Ito"	0.0481035
Khannouchi	0.0480996
"Regina Jacobs"	0.0480773
Henman	0.0479634
"De La Hoya"	0.0479074
"Cup Classic"	0.0478567
Kafelnikov	0.0475728
AEK	0.0475607
Holyfield	0.0475072
"Pete Sampras"	0.0475034
wildcat	0.0474733
Loroupe	0.0473056
Ruiz	0.0472824
Devers	0.0469672
"Juan Montoya"	0.0469261
"Chris Boardman"	0.0469224
Montoya	0.04691
"Bashar Assad"	0.0466954
"Tom Glavine"	0.0466133
"Annika Sorenstam"	0.0465299
Lewis	0.0464651
Belmont	0.046408
"Dale Jarrett"	0.0463938
"Santa Anita Derby"	0.0463361
"Ernie Irvan"	0.046131
Zito	0.0460802
Oaks	0.0460656
"Marco Pantani"	0.0457184
Gatti	0.0456973
"Tiger Woods"	0.0454037
Cipollini	0.0453484
Hasek	0.0453339
mare	0.0452828
Rahal	0.0452807
Coulthard	0.0451328
Ronaldo	0.0451263
"Pat Day"	0.0451193
Irvan	0.0449706
Sion	0.044886
entrant	0.0448547
"Michael Johnson"	0.0447678
Kagwe	0.0444709
Armstrong	0.0443394
Brogna	0.0442978
Hakkinen	0.044251
"Hale Irwin"	0.044236
"Robert Edwards"	0.0439882
Brack	0.0439673
Webb	0.0438786
Butyrskaya	0.0438734
Pincay	0.0437685
"Pedro Martinez"	0.0436642
"Billy Boat"	0.0434586
"Mark Martin"	0.043447
Herta	0.0434075
"Alexandra Meissnitzer"	0.0433419
"Michael Andretti"	0.0432793
Belcher	0.0432553
Gonzalez	0.0432501
Redskin	0.0431567
Stewart	0.0431189
racehorse	0.0430996
Kjus	0.0430082
Modano	0.0429742
"Mario Lemieux"	0.0429652
Brunell	0.0428559
Smoltz	0.0427961
Arazi	0.0426641
"Guy Hebert"	0.0426017
Gustafsson	0.0425908
Helling	0.0425591
Bruguera	0.0424265
"Belmont Stakes"	0.0423859
Janzen	0.0423577
))
(charity (desc 52906.7) (sims
"nonprofit organization"	0.143313
organization	0.138312
agency	0.114955
foundation	0.111244
corporation	0.108823
foundations	0.1084
institution	0.105575
"political action committee"	0.103841
nonprofits	0.102078
group	0.101752
fund	0.101488
"Democratic National Committee"	0.101449
individual	0.09865
university	0.0984078
company	0.0936513
institute	0.0929498
school	0.0921075
firm	0.0907469
"local government"	0.0889761
taxpayer	0.0886342
donor	0.0884038
"international organization"	0.0875812
"political party"	0.0875489
community	0.0865853
"insurance company"	0.0861487
church	0.0861303
"educational institution"	0.0859699
"social service"	0.0858367
program	0.0856723
"school district"	0.0851628
"pension fund"	0.0851035
philanthropy	0.0847183
bank	0.0836129
employer	0.0828958
"Red Cross"	0.0826267
project	0.0821849
organisation	0.0819032
"trust fund"	0.0818248
museum	0.0818189
insurer	0.0817207
family	0.0815664
"financial institution"	0.0814279
"private school"	0.0809762
association	0.0805066
enterprise	0.080504
provider	0.0804947
education	0.0803709
College	0.0803607
UNICEF	0.0789207
hospital	0.0787575
"public school"	0.0787491
entity	0.0786718
business	0.0782768
library	0.0780819
"senate campaign"	0.0778747
endowment	0.0760295
trust	0.0759142
"Republican National Committee"	0.0751454
shelter	0.0750783
"United Way"	0.0749987
"non-governmental organizations"	0.0746058
government	0.0738061
"Democratic Party"	0.0737734
startup	0.0734179
"political campaign"	0.0733955
party	0.0732835
cooperative	0.0732417
scholarship	0.0730646
NGOs	0.0730432
clinic	0.0730264
"social organization"	0.0726846
committee	0.0723914
airline	0.072391
contractor	0.0722791
research	0.0720922
society	0.0720281
farmer	0.0718519
"private foundation"	0.0718065
donation	0.0717386
retailer	0.0710177
"nursing home"	0.0709989
manufacturer	0.0706194
ministry	0.0706115
industry	0.0703063
orphanage	0.0701504
HMO	0.0698236
"travel agency"	0.0698033
campaign	0.0697723
department	0.0697689
consumer	0.0696182
"health care"	0.0692842
"U.N. agencies"	0.0690556
academy	0.068914
PACs	0.0688399
client	0.0687164
"trade union"	0.0686659
center	0.0683138
PAC	0.0683052
union	0.0682174
"Project Hope"	0.0681016
"police department"	0.0680132
doctor	0.0679558
"federal government"	0.0678881
investor	0.0677528
customer	0.0677062
DNC	0.0675972
politician	0.0673985
"labor union"	0.0672423
volunteer	0.0671296
"research center"	0.0670866
missionary	0.0669471
grant	0.0667996
"publishing house"	0.066668
brokerage	0.0666595
"education program"	0.066594
businessmen	0.0665929
"radio station"	0.0665299
"school system"	0.0664928
"think tank"	0.0664546
care	0.0664394
worker	0.0660867
service	0.0659338
health	0.0659278
consortium	0.0655731
employee	0.0655692
candidate	0.0654452
citizen	0.065293
victim	0.0652738
developer	0.0652702
lender	0.0651524
sponsor	0.0648547
welfare	0.0647938
resident	0.0647584
club	0.0647564
parish	0.064649
"interest group"	0.0646375
sector	0.0645709
denomination	0.0645419
"work unit"	0.064386
seminary	0.0643011
student	0.0641371
congregation	0.064125
policyholder	0.0640251
"brokerage firm"	0.0638971
venture	0.0637837
money	0.0637489
merchant	0.0637272
child	0.0634819
authority	0.0634513
"senior citizen"	0.0633748
activity	0.0633589
vendor	0.0632501
aid	0.0631953
"soup kitchen"	0.0631766
entrepreneur	0.0630824
tribe	0.0629885
"community center"	0.0629319
parent	0.0627728
"Salvation Army"	0.0626448
sport	0.0626189
"third party"	0.0623551
office	0.0623386
landowner	0.0622244
site	0.0620156
initiative	0.0618981
member	0.0618873
utility	0.0618738
dealer	0.0618498
"commercial bank"	0.0617633
"mutual fund"	0.0615154
county	0.0614613
owner	0.0609344
"medical center"	0.0608623
"educational program"	0.0607745
professional	0.06067
grower	0.0603818
network	0.0603197
art	0.0601239
"law enforcement"	0.0601127
"family planning"	0.060064
estate	0.0599341
Housing	0.0599192
"financial organization"	0.0599016
artist	0.0598522
NAACP	0.0598274
supplier	0.0597917
Pharmacy	0.0597066
survivor	0.0596926
refugee	0.0596626
infrastructure	0.0595873
"health maintenance organization"	0.0595708
publisher	0.059564
academic	0.0594811
wholesaler	0.0594423
advertiser	0.0593874
"business community"	0.0593824
affiliate	0.0593374
poor	0.0591233
conservation	0.059118
ISPs	0.0589772
))
(charlatan (desc 2410.09) (sims
liar	0.102646
Philanderer	0.094998
Profiler	0.082962
schemer	0.068659
swindler	0.0682965
bigot	0.0677703
opportunist	0.0656424
manipulator	0.0635873
cheater	0.0630866
non-Muslim	0.0630519
perjurer	0.0599339
pedophile	0.0590726
puritan	0.0565879
adulterer	0.0562115
adventurer	0.0559993
"con artist"	0.0553873
boozer	0.0526903
poseur	0.0524141
hypocrite	0.0500619
"breach of trust"	0.0500447
egomaniac	0.0493067
trimmer	0.0491525
procrastinator	0.0490165
exploiter	0.0488536
idiot	0.0487903
Freddy	0.0475522
forger	0.0470378
craftsman	0.0457689
demagogue	0.0457376
formalism	0.0454458
huckster	0.044548
"hard worker"	0.0438037
denier	0.0437259
Striver	0.0429056
punchline	0.0422866
counterfeiter	0.0420819
"second person"	0.0417115
deadhead	0.0417063
junkie	0.0413807
firebrand	0.041357
Pasha	0.0403398
))
("Charlene Barshefsky" (desc 1628.93) (sims
"Long Yongtu"	0.296701
"Richard C. Holbrooke"	0.225884
"Carlos Westendorp"	0.206632
"Yasser Abed Rabbo"	0.206523
"Wolfgang Petritsch"	0.195601
"Fehmi Agani"	0.191137
"Adem Demaci"	0.190006
"Jeremy Greenstock"	0.18835
"Bernard Kouchner"	0.18328
"Carl Bildt"	0.180188
"Qin Huasun"	0.178038
"Vladislav Jovanovic"	0.174342
"Faisal Husseini"	0.172654
"Nabil Shaath"	0.168735
"Oded Eran"	0.16335
"Robert Gelbard"	0.1559
"Koo Chen-fu"	0.150229
"Mickey Kantor"	0.148269
"Massachusetts Democrat"	0.141964
"California Democrat"	0.141393
"Martin McGuinness"	0.14038
"Saeb Erekat"	0.139298
"Richard Holbrooke"	0.137855
"Florida Republican"	0.134923
"Sergio Vieira de Mello"	0.134303
"Shi Guangsheng"	0.13413
"Nur Misuari"	0.125704
"Robert Aventajado"	0.123121
"Abu Mazen"	0.122344
"Bill Richardson"	0.121743
"Bill Thomas"	0.121522
"Li Zhaoxing"	0.120385
"Christopher Hill"	0.116437
"Wang Yingfan"	0.115674
"Leon Brittan"	0.114161
"Anatoly Chubais"	0.113533
"Bernard Sanders"	0.112751
Barshefsky	0.111322
"Stuart Eizenstat"	0.109874
"Gene Sperling"	0.10695
Bildt	0.106634
"Illinois Republican"	0.105615
"Jaswant Singh"	0.10552
"Porter Goss"	0.104224
"Richie Phillips"	0.104179
"Hashim Thaci"	0.103686
"New York Democrat"	0.101687
"Nancy Pelosi"	0.101413
"California Republican"	0.0999339
"William Daley"	0.0998147
"Lawrence Summers"	0.099097
"Ahmed Qureia"	0.0987392
"David Dreier"	0.0986923
"Dan Glickman"	0.0985006
GAM	0.0977304
"Dan Miller"	0.0967871
"Strobe Talbott"	0.0961327
"Lee Hsien Loong"	0.0921609
"Barney Frank"	0.0913215
"Christopher Shays"	0.09108
"John Conyers"	0.0905777
"John Boehner"	0.0892468
"Speaker Ali Akbar Nateq-Nouri"	0.0856324
"Dennis Ross"	0.0853973
Sahnoun	0.0837298
"Tom Campbell"	0.0833196
"Valery Pustovoitenko"	0.0831696
"Richard Riley"	0.0830232
"Andrew Young"	0.0827723
"Charles Canady"	0.08244
"Javier Solana"	0.0820519
"Carolyn McCarthy"	0.0820323
"Christopher Smith"	0.0814708
Brundtland	0.0813246
"Jim Kolbe"	0.0811886
Paxon	0.081092
"Dore Gold"	0.080666
"Martin Meehan"	0.0804269
"de Charette"	0.080413
"Wang Daohan"	0.0798633
"Peter King"	0.0796537
"Lamar Smith"	0.0795405
"Georgia Republican"	0.0794042
Malu	0.0790289
"Charles E. Schumer"	0.0788451
"Lakhdar Brahimi"	0.078673
"Hans von Sponeck"	0.0786542
"Charles Rangel"	0.078387
"Jack Quinn"	0.0783695
"Christopher Cox"	0.0773031
"Sandy Alderson"	0.0771079
Almeida	0.0762379
"Maxine Waters"	0.0761336
Komura	0.0757357
Erekat	0.0752144
"Tang Jiaxuan"	0.0751834
Nateq-Nouri	0.074982
"John Sweeney"	0.0747719
"Wu Yi"	0.074538
"Asa Hutchinson"	0.0745011
"George Miller"	0.0744136
"Ivan Kostov"	0.0741609
"Abdullah Ahmad Badawi"	0.0737974
"John Linder"	0.0735479
"Martin Frost"	0.0734085
Tella	0.0731404
Ahtisaari	0.072553
Jovanovic	0.0720652
Ikimi	0.0719673
"Zoe Lofgren"	0.0719503
Kinkel	0.071936
"Benjamin Gilman"	0.0714796
"Steve Largent"	0.0712947
"Tom Davis"	0.0712318
"governor general"	0.0712068
"Bashkim Fino"	0.0708687
"James Sensenbrenner"	0.0705584
"Tareq Aziz"	0.0698869
Hevesi	0.0698294
Frei	0.0698019
"Patrick Kennedy"	0.0696274
"Mikulas Dzurinda"	0.0691653
Daley	0.0689748
Glickman	0.0688993
"Seamus Mallon"	0.0687149
"Robert Livingston"	0.0684744
"Jim Hodges"	0.068318
"Jim Bunning"	0.0681588
Zeng	0.0675219
"Tim Fischer"	0.0670198
"Hanan Ashrawi"	0.0668826
"Jerzy Buzek"	0.0668804
"Nita Lowey"	0.066471
Shaath	0.0663756
"I.K Gujral"	0.0663112
"Ed Bryant"	0.0661748
Wilhelm	0.0660439
"Madeleine Albright"	0.0657227
"Momcilo Krajisnik"	0.0655487
"Greg Ganske"	0.0652017
"Bill Archer"	0.0647772
"Goran Persson"	0.0644829
"Robert Rubin"	0.0639873
Kasoulides	0.0639583
Jayakumar	0.0637871
"Brian Cashman"	0.0636977
"Bob Livingston"	0.0634845
"Prime Minister Kamal El-Ganzouri"	0.0634644
"J.C. Watts"	0.0631629
"Jerrold Nadler"	0.0628852
al-Sahaf	0.0623204
"Khin Nyunt"	0.062167
Scalfaro	0.0620673
"Michael Heseltine"	0.0614844
"David Levy"	0.0613767
"Mikhail Kasyanov"	0.0613716
"Debra Weydert"	0.0612382
"Yitzhak Molcho"	0.0608351
"Kamal Kharrazi"	0.0607899
"Joel Klein"	0.0604962
Vollebaek	0.0601064
"Natan Sharansky"	0.0600181
Zou	0.0600121
"Jim Leach"	0.0599881
"Lindsey Graham"	0.0598208
"Rodney Slater"	0.0596874
"deputy foreign minister"	0.0596684
"Antonio Guterres"	0.0596329
Stoyanov	0.0595366
Deuba	0.059467
"Sherwood Boehlert"	0.059426
"Michael Smith"	0.0591935
"Viktor Chernomyrdin"	0.0590368
"John Dingell"	0.0588583
"New York Republican"	0.0588086
"Richard Gephardt"	0.0587187
Lipponen	0.0584686
Siazon	0.0584197
al-Sahhaf	0.0583721
Moakley	0.0580274
Kostov	0.0579199
Shen	0.0578534
"vice chancellor"	0.0578073
al-Khatib	0.0577902
"Mahmoud Abbas"	0.057427
"Chris Smith"	0.0574043
Fino	0.0573935
"Barry McCaffrey"	0.0573679
"Yoshiro Mori"	0.0572801
Alatas	0.0572614
"Bob Barr"	0.057162
"government officials"	0.0571341
"Yossi Beilin"	0.056877
Ganzouri	0.0567498
"Cesar Gaviria"	0.0565389
"Wim Kok"	0.0565249
"Richard Mandella"	0.0564435
Brahimi	0.0564161
"George Robertson"	0.0564113
"Bill McCollum"	0.0564053
))
(Charleroi (desc 2069) (sims
Liege	0.294912
Eindhoven	0.200806
Montpellier	0.136294
Antwerp	0.134192
Toulon	0.129224
Trondheim	0.127106
Rotterdam	0.123505
Salonika	0.120981
BRATISLAVA	0.12073
Strasbourg	0.117944
Porto	0.113418
Filderstadt	0.109791
SAINT-ETIENNE	0.108889
Ghent	0.108045
Vitoria	0.107524
Heerenveen	0.104003
Leverkusen	0.103995
Rennes	0.103684
Utrecht	0.102777
Plata	0.102733
Gothenburg	0.102555
Caen	0.10213
Duesseldorf	0.102088
"Port Elizabeth"	0.100102
"Xavier Malisse"	0.099603
Bremen	0.0988805
Asuncion	0.0969008
Toulouse	0.0968345
Sapporo	0.0961422
Cardiff	0.0960867
Nantes	0.0959835
Rostock	0.0957775
Halle	0.0955971
Ljubljana	0.0955087
Marseille	0.0954938
Maastricht	0.0953375
Tallinn	0.0951903
Malmo	0.0949537
"Els Callens"	0.0944991
Basle	0.0907049
Sevilla	0.0906914
Limoges	0.089643
Nagoya	0.0896429
Foxboro	0.0892967
Bologna	0.0874586
Riga	0.0849864
"Kim Clijsters"	0.0835655
Madras	0.0834855
Kizlyar	0.0834676
Adelaide	0.0830955
Copenhagen	0.0830726
Dusseldorf	0.0826248
"St Petersburg"	0.0823515
Osaka	0.0821426
Chamonix	0.0820324
"PETALING JAYA"	0.0812474
Lhokseumawe	0.0804993
Bordeaux	0.0800127
Anderlecht	0.0796132
Glasgow	0.0790635
Auxerre	0.0788677
Lucerne	0.0788475
Graz	0.0778624
"San Sebastian"	0.0777891
Mannheim	0.0776006
Brisbane	0.0770048
Stuttgart	0.07599
Lyon	0.0759265
Cologne	0.075676
Yokohama	0.0754508
Valletta	0.0752121
"Nottingham Forest"	0.0751295
Perth	0.0750184
Maribor	0.0750135
"Sabine Appelmans"	0.074814
Nottingham	0.0748072
"San Lorenzo"	0.0740749
Bloemfontein	0.0740517
Genoa	0.0739311
Hamburg	0.0738161
Ipoh	0.0733122
Fushun	0.0730439
Langkawi	0.0728208
Leipzig	0.0728204
Kitzbuehel	0.0725916
Benfica	0.072238
Posoltega	0.0721829
Karlsruhe	0.0721099
Watford	0.0720548
Eastbourne	0.0718458
Hanover	0.0717501
Fukuoka	0.0714753
Amsterdam	0.0712955
SENDAI	0.0711772
Larnaca	0.0711608
Bari	0.0709907
PALERMO	0.0709801
Beersheba	0.0708942
Hannover	0.0704024
Dubrovnik	0.0695115
Salerno	0.0691874
Sheffield	0.0691473
"Filip Dewulf"	0.069121
"CHIANG MAI"	0.0680105
"Johan Museeuw"	0.0678985
Tenerife	0.0678714
Rosario	0.0661885
mid-night	0.0659206
Duisburg	0.0657149
Roost	0.0655247
Tashkent	0.0653781
Leskovac	0.065355
Oslo	0.0653264
Mallorca	0.0652786
Yogyakarta	0.0652608
ZAGREB	0.0651609
Samara	0.0648863
Munich	0.0647183
Warri	0.0646193
Turin	0.0644004
Merida	0.0643392
Orahovac	0.0643186
"Wimbledon Tennis Championships"	0.0642626
Saint-Denis	0.0641102
Aachen	0.063934
Durres	0.0637737
"Boca Juniors"	0.0636999
Casas	0.0634945
Stolle	0.063443
Zaragoza	0.0633159
"Banja Luka"	0.0632499
Lille	0.0630918
Bilbao	0.0627693
Cacak	0.0626159
Macoris	0.0625479
"Chinese Basketball League"	0.0623999
Gudermes	0.0623817
Bastia	0.0623224
Lausanne	0.062267
Dunedin	0.0622488
Golcuk	0.0620365
Guadalajara	0.0620258
"European Champions League"	0.0619883
Leeds	0.0617994
Makeni	0.0615304
KPU	0.0615187
Pusan	0.0612705
Taba	0.0612053
Puerta	0.0611319
Minsk	0.0610446
Hershey	0.0607423
"Kosovo Polje"	0.0606847
Lugano	0.0602651
Limassol	0.0602363
"basketball league"	0.0601867
Luxembourg	0.0599919
Hakuba	0.059777
Nuremberg	0.0596773
Chiba	0.0595854
Dosedel	0.0595107
Kobe	0.0594418
"Leicester City"	0.0593201
BASEL	0.0592441
Matamoros	0.0591944
Verona	0.0591672
Sirte	0.0590634
NIS	0.0589811
Ashkelon	0.0589545
Denpasar	0.0589008
Yerevan	0.058876
"Coventry City"	0.0585782
Seville	0.058577
Novosibirsk	0.0582008
Palembang	0.0580185
Ambon	0.0579989
Hobart	0.0579509
Marseilles	0.0578627
Salzburg	0.0577696
"Libertadores Cup"	0.0577068
Bormio	0.0576908
Nablus	0.0576832
Juba	0.0576108
Dijon	0.0576051
Innsbruck	0.0574642
Suva	0.0574112
Manta	0.0573736
Casablanca	0.0573497
Durban	0.057252
Dundalk	0.0572237
"Rita Grande"	0.0569861
Monterrey	0.0569151
Srbica	0.0569138
Jaipur	0.0568095
Ismailia	0.0567542
Matadi	0.0565818
Kandy	0.0565368
"Mazari Sharif"	0.0565055
"San Marino"	0.0565023
Palma	0.0564446
Haicheng	0.0561955
))
(Charles (desc 27977.2) (sims
William	0.119444
Michael	0.117802
Richard	0.111813
tom	0.108906
Robert	0.108098
Edward	0.105838
John	0.104564
Jim	0.103813
James	0.101351
Steven	0.100683
David	0.100393
Paul	0.100368
Philip	0.0999502
Jeff	0.0983039
Nicholas	0.0977852
Walter	0.0967932
Peter	0.0952035
Anthony	0.0937635
Brian	0.0931798
mike	0.0930212
Bobby	0.0923406
Larry	0.0922093
Albert	0.0908253
Alan	0.0907339
Frank	0.0904543
Andrew	0.0899939
George	0.0892169
Chris	0.0891878
Randy	0.0886512
Carl	0.0883361
Phil	0.0874528
Tim	0.0870272
Prince	0.0864315
Gary	0.08573
Gerald	0.0854537
Steve	0.0853221
Evan	0.0844053
Dennis	0.0843459
Henry	0.0842314
Eric	0.0840466
Kevin	0.0840074
Ronald	0.0839382
BOB	0.0837326
Rick	0.0832813
Jonathan	0.083089
Jerry	0.0825775
Matthew	0.0823523
Harry	0.0822481
jack	0.0820827
Fred	0.0820252
Patrick	0.0812496
Charlie	0.0812073
Thomas	0.0811304
Arthur	0.0809484
Ron	0.0808081
Joe	0.0807586
Jeremy	0.080227
Louis	0.0800979
Roger	0.0794363
Ben	0.078836
Joseph	0.0788154
Billy	0.0780725
Jamie	0.0779736
Hugh	0.0771813
Jason	0.0771607
Jacob	0.0770021
Kenny	0.0766633
Greg	0.0761389
Bruce	0.0758733
Stephen	0.0748182
Danny	0.0742525
matt	0.0738583
Scottie	0.0736777
Alex	0.0735921
Dave	0.073419
Terry	0.0726597
Abdullah	0.0726447
Daniel	0.0725963
Sam	0.072229
Christopher	0.0722137
Adam	0.0721987
"John Jr."	0.0720457
Kenneth	0.0720452
Jimmy	0.0718151
Barry	0.0716265
Scott	0.0713889
Wayne	0.0710725
Eddie	0.0702553
Ralph	0.0700792
Jeb	0.0700342
Tony	0.0696979
Marty	0.069144
Frederick	0.069094
Sean	0.0690708
Phillip	0.0690345
Brett	0.0690218
Roy	0.0689866
Reggie	0.0688557
don	0.068823
Ian	0.0686513
Ken	0.0685617
Travis	0.0685584
Hakeem	0.0685427
brother	0.0685138
Dan	0.0681356
Kyle	0.0679295
Todd	0.0679035
Theo	0.0673775
Keith	0.0672026
Herbert	0.067109
Alexander	0.0669481
Allan	0.0668925
"George W."	0.0655458
Manuel	0.0654527
Donald	0.0652884
Josh	0.0650559
Samuel	0.0648507
Craig	0.0648314
Arnold	0.0648196
husband	0.0644868
Carlos	0.0644412
Jackie	0.0643868
Diana	0.0643154
jay	0.0640789
Aaron	0.0640498
Hassan	0.0639957
Morris	0.0639214
timothy	0.0638483
Justin	0.0636991
Marcus	0.0635112
Gerard	0.0634602
"Prince of Wales"	0.0632864
"Queen Elizabeth II"	0.0631055
Ramon	0.0628976
Karen	0.0628236
son	0.0626628
Hussein	0.0626353
Curtis	0.0626239
Pete	0.0624622
Adrian	0.0624491
Julian	0.0622078
Harold	0.0620583
dick	0.0620337
Mario	0.0620112
Marvin	0.0619091
Willie	0.0619087
Ted	0.0617337
Joey	0.0615669
Lee	0.0615259
Pedro	0.0612855
Maurice	0.060956
nick	0.0609491
Brad	0.0608449
Ed	0.0606696
Sarah	0.0606257
Ryan	0.0606115
Raymond	0.0605403
Andre	0.0605393
father	0.0604911
Chuck	0.0601663
Andy	0.0601249
Karl	0.0599933
Joel	0.0598525
Leo	0.0597434
Trevor	0.0592799
dale	0.05925
Howard	0.0591662
Jon	0.0591121
martin	0.0590327
Byron	0.0589574
Mohammed	0.0587094
Luis	0.0587026
Joshua	0.0586349
franklin	0.0586259
Casey	0.058569
Mary	0.0585613
Gabriel	0.0582366
Hess	0.0582015
Clarence	0.0580626
Juan	0.0580067
Davis	0.0579929
Brent	0.0579647
douglas	0.0575445
Kennedy	0.0569955
Allen	0.0569838
Owen	0.0569239
Noel	0.056539
Lloyd	0.0565162
Tommy	0.0565002
Marc	0.0562595
Lawrence	0.0562194
Bryan	0.0562097
Nathan	0.0561982
Ross	0.0560572
Lance	0.05594
Drew	0.0558347
Evans	0.05582
Susan	0.0557873
she	0.0557453
Glenn	0.0555202
))
("Charles Austin" (desc 2184.09) (sims
"Jeff Hartwig"	0.281204
"Javier Sotomayor"	0.279394
"Allen Johnson"	0.25981
"Fatuma Roba"	0.259114
"Ivan Pedroso"	0.237796
"Derrick Adkins"	0.234549
"Heike Drechsler"	0.233678
"Deon Hemmings"	0.230142
"Svetlana Masterkova"	0.215461
"Wang Yifu"	0.215229
"John Godina"	0.212332
"Chen Lu"	0.206232
"Gail Devers"	0.205828
"Penny Heyns"	0.197393
"Claudia Poll"	0.197121
"Kieren Perkins"	0.194135
"Donovan Bailey"	0.19348
"Linford Christie"	0.192698
"Elena Berezhnaya"	0.192308
"Fiona May"	0.192017
"Tom Dolan"	0.190871
"Alexei Urmanov"	0.188485
"Lin Li"	0.187772
Shuwei	0.18773
"Susie O'Neill"	0.186946
"Al Joyner"	0.186877
"Oksana Kazakova"	0.186423
"Gary Hall"	0.18558
"Fu Mingxia"	0.183981
"Randy Barnes"	0.182648
"Brooke Bennett"	0.180541
"Stacy Dragila"	0.179212
"Denis Pankratov"	0.178317
"Alexei Nemov"	0.174207
"Daniel Kowalski"	0.17065
"Marion Jones"	0.170357
"Felix Savon"	0.170186
"Jenny Thompson"	0.169871
"Sandra Voelker"	0.169607
"Liu Limin"	0.169262
"Yu Zhuocheng"	0.168679
"Mark Crear"	0.168485
"Li Jiajun"	0.167121
"Deborah Compagnoni"	0.166929
"Carl Lewis"	0.16692
"Dan O'Brien"	0.165656
"Blaine Wilson"	0.164996
"Thomas Stangassinger"	0.161045
"Sergei Bubka"	0.160669
"Angelo Taylor"	0.159955
"Amy van Dyken"	0.159546
"Frankie Fredericks"	0.15913
"Jackie Joyner-Kersee"	0.158899
"Jonathan Edwards"	0.154595
"Liu Guoliang"	0.153078
"Hiroyasu Shimizu"	0.151534
"Irina Slutskaya"	0.151169
"Michelle Smith"	0.150998
"Marie-Jose Perec"	0.150362
"Le Jingyi"	0.150195
"Ato Boldon"	0.149895
"Paul Tergat"	0.149543
"Picabo Street"	0.148296
"Cathy Freeman"	0.148266
"David Reid"	0.146384
"Chen Jing"	0.146012
"Wang Junxia"	0.144917
"Michael Johnson"	0.144819
"Dong Jiong"	0.144081
"Shannon Miller"	0.143798
Devers	0.143757
"Todd Eldredge"	0.143685
"Michelle Kwan"	0.143617
"Inger Miller"	0.142708
"Oksana Baiul"	0.142623
"Dennis Mitchell"	0.142555
"Xiong Ni"	0.14214
"Pernilla Wiberg"	0.142115
"Maria Mutola"	0.141981
"Alexander Popov"	0.141594
"Gary Hall Jr."	0.140226
"Deng Yaping"	0.13989
"Svetlana Khorkina"	0.138503
"Katja Seizinger"	0.138193
Sautin	0.137527
"Ricky Subagja"	0.13642
Ottey	0.13556
Sotomayor	0.135035
"Vanessa Atler"	0.134977
"Tara Lipinski"	0.133954
"Katarina Witt"	0.133206
"Alexei Yagudin"	0.132204
"Irina Privalova"	0.130896
"Maurice Greene"	0.129891
"Noureddine Morceli"	0.12836
"C.J Hunter"	0.127758
"Simona Amanar"	0.127034
"Lasse Kjus"	0.126933
"Rexy Mainaky"	0.126724
"Susi Susanti"	0.126005
"Elvis Stojko"	0.125016
"Jean-Philippe Gatien"	0.124489
"Doug Walker"	0.124211
"Eddie Cheever"	0.122947
"Samantha Riley"	0.122866
"Merlene Ottey"	0.122348
"Maria Butyrskaya"	0.121686
"Ge Fei"	0.120948
"Moses Tanui"	0.120679
"Hermann Maier"	0.119988
"Roy Jones Jr."	0.119667
"Wilson Kipketer"	0.119569
"Kong Linghui"	0.11843
"Regina Jacobs"	0.11757
"Michael Von Gruenigen"	0.116718
"Jimmy Vasser"	0.116548
"Michael Klim"	0.114167
"Wang Tao"	0.113633
"Bjarte Engen Vik"	0.11316
"Dominique Moceanu"	0.112223
"Rodney Eyles"	0.112061
"Colin Jackson"	0.111279
"Tara Snyder"	0.11115
"Mia Audina"	0.111114
"Hilde Gerg"	0.111048
"Alberto Tomba"	0.11051
Khorkina	0.110364
"Emma George"	0.10988
Rosset	0.109713
"Renate Goetschl"	0.108028
"Khalid Khannouchi"	0.107918
"Amy Frazier"	0.107755
"Jearl Miles-Clark"	0.107749
"Chris Boardman"	0.106183
"Laurent Brochard"	0.105622
"Marina Anissina"	0.105475
"Jennifer Capriati"	0.104751
"Haile Gebrselassie"	0.104473
"Ye Zhaoying"	0.104445
"Lenny Krayzelburg"	0.104315
"Jonathan Stark"	0.104259
"Gunda Niemann-Stirnemann"	0.102478
"Hicham El Guerrouj"	0.101782
"Johan Museeuw"	0.101682
"Miguel Indurain"	0.100983
"Lindsay Davenport"	0.1007
"Bruny Surin"	0.0991366
"Florence Griffith Joyner"	0.0981583
"Matt Kuchar"	0.0980021
"Marc Rosset"	0.0976404
"Chen Hua"	0.097578
Kipketer	0.0972762
"Tommi Makinen"	0.0963217
"Kenny Brack"	0.0959745
"Jan-Ove Waldner"	0.0955579
"Koji Ito"	0.0950926
"Michael Doohan"	0.0949064
"Gianni Romme"	0.0946746
"Tegla Loroupe"	0.0944977
"Peter Rasmussen"	0.0943399
"Andre Agassi"	0.0941651
"Anatoly Karpov"	0.0939281
"Heryanto Arbi"	0.0939107
"Daniel Komen"	0.0938137
Popov	0.0929374
"Jeff King"	0.0929356
"Ivan Ivankov"	0.0927981
"Alex Zanardi"	0.0927371
"Anjelika Krylova"	0.0927132
"Bayi Rockets"	0.0926588
"Chris Woodruff"	0.0926123
"Johnny Tapia"	0.0921487
Maier	0.0919498
"Bjorn Borg"	0.0917663
"Damon Hill"	0.091462
kayaker	0.0910903
"Steve Smith"	0.0906759
"Li Xuemei"	0.0903373
"Houston Comets"	0.0901879
"Yang Yang"	0.0901695
"De Bruin"	0.0895455
"Gil Morgan"	0.0893711
"Buster Douglas"	0.0891299
"Kjetil Andre Aamodt"	0.0889439
"Rashid Sidek"	0.0887103
"Darrell Waltrip"	0.0886753
"Grant Hackett"	0.0878652
"Chicago Fire"	0.0877796
"Jubilo Iwata"	0.0872921
"Jimmy Connors"	0.0872543
"Zoran Primorac"	0.0869291
"Jansher Khan"	0.0868691
"Abraham Olano"	0.0865274
"Raymond Floyd"	0.0861925
"Lance Armstrong"	0.0860286
"Anita Wachter"	0.0859692
"Jacques Villeneuve"	0.0852784
"Scott Pruett"	0.0850857
"Iwan Thomas"	0.0850468
Zelezny	0.0843494
))
("Charles Barkley" (desc 12210.3) (sims
"Scottie Pippen"	0.264964
"Hakeem Olajuwon"	0.264318
"David Robinson"	0.213861
"Karl Malone"	0.206431
"Penny Hardaway"	0.197383
"Grant Hill"	0.180093
"Othella Harrington"	0.171974
"Tom Gugliotta"	0.169428
"Shaquille O'Neal"	0.167738
"Gary Payton"	0.165119
Barkley	0.164776
"John Stockton"	0.162944
"Mitch Richmond"	0.158723
"Alonzo Mourning"	0.158255
"Patrick Ewing"	0.15665
"Reggie Miller"	0.152792
"Tim Duncan"	0.152324
"Jason Kidd"	0.150428
"Shawn Kemp"	0.148919
"Antonio McDyess"	0.142135
"Anfernee Hardaway"	0.141417
"Kevin Garnett"	0.13962
"Chris Webber"	0.137425
"Juwan Howard"	0.137134
"Michael Jordan"	0.136977
"Magic Johnson"	0.134954
"Tim Hardaway"	0.134344
"Dennis Rodman"	0.133954
"Brian Grant"	0.1305
"Kobe Bryant"	0.126562
"Robert Horry"	0.126398
"Clyde Drexler"	0.126144
"Isiah Thomas"	0.124759
"Vin Baker"	0.124416
"Brent Price"	0.123649
"Matt Bullard"	0.123239
"Kareem Abdul-Jabbar"	0.122515
"Glen Rice"	0.122063
"Steve Kerr"	0.121178
"Clifford Robinson"	0.12058
"Allen Iverson"	0.117003
"Toni Kukoc"	0.114434
"Latrell Sprewell"	0.113275
"Larry Bird"	0.112402
Olajuwon	0.111609
"Ron Harper"	0.111351
"Jayson Williams"	0.110631
"Rick Fox"	0.110507
"Steve Smith"	0.110293
"Julius Erving"	0.110148
"Mario Elie"	0.109705
"Rasheed Wallace"	0.108346
"Antoine Carr"	0.108169
"Maurice Taylor"	0.106263
"Derrick Coleman"	0.105996
Pippen	0.105834
"Jerry Stackhouse"	0.105596
"A.C. Green"	0.105286
"Joe Dumars"	0.104707
"Steve Francis"	0.104327
"Marcus Camby"	0.104206
"Charles Oakley"	0.104156
"Allan Houston"	0.104132
"Michael Dickerson"	0.103752
"Dominique Wilkins"	0.103546
"Chris Mullin"	0.102565
"Kevin Willis"	0.102328
"Sean Elliott"	0.102292
"Jalen Rose"	0.101905
"Dikembe Mutombo"	0.100825
"Rudy Tomjanovich"	0.100217
"Rodney Rogers"	0.0985729
"Larry Johnson"	0.0984043
"Rod Strickland"	0.0978301
McDyess	0.0969914
Hardaway	0.096035
"Kurt Thomas"	0.0956683
"Cynthia Cooper"	0.0949801
"Eddie Jones"	0.094612
"Damon Stoudamire"	0.0938926
Kukoc	0.0930891
"Tracy McGrady"	0.0927526
"Vince Carter"	0.0918794
"Kevin Johnson"	0.0915794
"Kenny Thomas"	0.0914692
"Phil Jackson"	0.0911755
"Detlef Schrempf"	0.0908349
"Shareef Abdur-Rahim"	0.0907188
"J.R Reid"	0.0898671
"Bryon Russell"	0.0891531
"Austin Croshere"	0.0884962
"Arvydas Sabonis"	0.0882606
Gugliotta	0.0881589
"Jerry West"	0.0879579
"Luc Longley"	0.0876177
"Walt Williams"	0.0870667
"Stephon Marbury"	0.0869149
"Vlade Divac"	0.0867075
Malone	0.0860005
"Wilt Chamberlain"	0.0858076
"Kevin McHale"	0.0855083
"Avery Johnson"	0.0852832
Rodman	0.0849808
"Cliff Robinson"	0.084463
"Sheryl Swoopes"	0.0840369
"Corliss Williamson"	0.0836565
"Antonio Davis"	0.0835564
"Horace Grant"	0.0831384
"Jeff Hornacek"	0.0828038
"Wayne Gretzky"	0.0826451
"Bill Russell"	0.0819344
"Antoine Walker"	0.0812607
"Shawn Marion"	0.080438
"Glenn Robinson"	0.0802831
"George McCloud"	0.0802027
"Tyrone Nesby"	0.079811
Fortson	0.0795922
Drexler	0.0795692
"Cedric Ceballos"	0.0794702
"Ron Artest"	0.0794441
"Nick Van Exel"	0.0788233
"Mia Hamm"	0.0784658
"Rex Chapman"	0.0784324
"Keith Van Horn"	0.0783006
"Bobby Phills"	0.0781093
"Rebecca Lobo"	0.078029
Ewing	0.0776109
"Chris Porter"	0.0775595
"James Worthy"	0.0769999
"Joe Smith"	0.0765864
"Jerome Kersey"	0.0764067
"Paul Pierce"	0.0762437
"CORIE BLOUNT"	0.0753736
"Alan Henderson"	0.0749749
"Danny Manning"	0.074861
Bryant	0.0747722
"Danny Fortson"	0.0745147
"Christian Laettner"	0.07433
duncan	0.0740757
"Antawn Jamison"	0.0735355
"Tamika Catchings"	0.0734551
"Terrell Brandon"	0.0733738
"Michael Finley"	0.0732307
"Jamie Feick"	0.0729059
"Dan Majerle"	0.0724743
"Theo Fleury"	0.0724726
"Grant Long"	0.0721479
"Dale Davis"	0.0719751
"Predrag Mijatovic"	0.0717114
"P.J Brown"	0.0705674
"Ray Allen"	0.0705084
"Buck Williams"	0.0704075
"Elden Campbell"	0.0700346
"Rik Smits"	0.0692396
"Michael Wright"	0.0691662
Garnett	0.0690829
"Rick Tocchet"	0.0690495
"Derek Harper"	0.068904
"Wally Szczerbiak"	0.0686351
McGrady	0.068479
"Dennis Scott"	0.0683659
"Shandon Anderson"	0.0683538
Burrell	0.0680979
"Matt Geiger"	0.0680648
"Cuttino Mobley"	0.0680597
"Otis Thorpe"	0.0679526
"Elgin Baylor"	0.0678945
MARBURY	0.0678285
"Carlos Rogers"	0.0676444
"Mark Messier"	0.0674497
"Michael Smith"	0.0673919
Stoudamire	0.0673836
Szczerbiak	0.0671529
"Will Perdue"	0.0670383
"SCOTT BURRELL"	0.0668876
"Chamique Holdsclaw"	0.0668324
"Hu Weidong"	0.0666955
"Jumaine Jones"	0.0666114
"Jeremy Roenick"	0.0665583
"Van Horn"	0.0664793
Chamberlain	0.0659453
"Bill Walton"	0.0659367
"Derek Fisher"	0.065842
Harper	0.0658352
Fizer	0.0655366
"Wang Zhizhi"	0.0654342
"Gabe Muoneke"	0.0653782
Hornacek	0.0650584
"Shane Battier"	0.0648728
"Mark Jackson"	0.0648159
"Jaromir Jagr"	0.0645664
"Del Harris"	0.0645369
Stockton	0.0644954
"Jarvis Turner"	0.0643921
Gretzky	0.0643215
"Terry Cummings"	0.064247
"DeLisha Milton"	0.0637587
"Richard Hamilton"	0.0636801
Sprewell	0.06353
"Van Exel"	0.0635297
))
("Charles Canady" (desc 1949.22) (sims
"Dan Miller"	0.412996
"Mark Foley"	0.395406
"Bill McCollum"	0.353277
"Porter Goss"	0.317917
"Tillie Fowler"	0.29737
"David Dreier"	0.233475
"Connie Mack"	0.207182
"Ed Bryant"	0.201816
"John Conyers"	0.199345
"Asa Hutchinson"	0.194279
"Lindsey Graham"	0.186352
"James Sensenbrenner"	0.185734
"Christopher Cox"	0.184133
"John Boehner"	0.183465
"Bob Barr"	0.179014
"Jim Kolbe"	0.178537
"J.C. Watts"	0.173855
"Tom Campbell"	0.170156
"Lamar Smith"	0.16992
"Jerrold Nadler"	0.169086
"Benjamin Gilman"	0.168646
"Lee Hamilton"	0.168482
"Christopher Smith"	0.167533
"Jim Leach"	0.16637
"Steve Chabot"	0.16458
"Bill Archer"	0.160632
"Martin Frost"	0.158929
"John Dingell"	0.158077
"George Gekas"	0.154356
"John Linder"	0.150464
"Dan Burton"	0.150236
"Steve Largent"	0.150098
"Peter King"	0.149209
"George Miller"	0.145194
"Zoe Lofgren"	0.144066
"Bernard Sanders"	0.143134
"James Rogan"	0.142679
"Bill Thomas"	0.142536
"Barney Frank"	0.14199
"Carolyn McCarthy"	0.141967
"Charles Rangel"	0.140571
"Maxine Waters"	0.139879
"Don Young"	0.139853
"Christopher Shays"	0.139419
"Curt Weldon"	0.139208
"Jack Quinn"	0.137522
R-S.C.	0.136797
"Martin Meehan"	0.135937
"Henry Waxman"	0.133942
"John Lewis"	0.132935
"Sheila Jackson Lee"	0.131837
"George Nethercutt"	0.131736
"Patrick Kennedy"	0.131664
"Charles Stenholm"	0.131028
"Matt Salmon"	0.130783
"Mark Sanford"	0.129218
"Jack Kingston"	0.128206
"Mary Bono"	0.127373
"Chris Smith"	0.125443
"Billy Tauzin"	0.123958
"Charlie Norwood"	0.122518
"Sherwood Boehlert"	0.122055
"Nancy Pelosi"	0.12109
"Jim McDermott"	0.120633
"Carolyn Maloney"	0.120208
"Nita Lowey"	0.119557
"Jim Bunning"	0.118351
"Tom Davis"	0.117527
"Charles E. Schumer"	0.115708
"Ron Paul"	0.1157
"John Sweeney"	0.114279
"Henry Bonilla"	0.113752
"Jose Serrano"	0.113345
"Lloyd Doggett"	0.110238
"Jack Gargan"	0.109575
"Henry Hyde"	0.107402
"Marge Roukema"	0.107206
"Connie Morella"	0.10689
McCollum	0.100688
"Nancy Johnson"	0.100553
"Robert Livingston"	0.10004
"Bob Livingston"	0.0990883
"Jennifer Dunn"	0.0982678
"Tom Johnson"	0.0963324
"Greg Ganske"	0.0958972
"John Kasich"	0.0950398
"Robert Menendez"	0.093724
"Sue Kelly"	0.0921794
"Norm Dicks"	0.0920612
Hutchinson	0.089392
"Charles Schumer"	0.0889663
"Jim Turner"	0.0889021
"Tony Coelho"	0.0884134
"Linda Smith"	0.0862468
"Loretta Sanchez"	0.0857132
Harmoko	0.0857096
Shamshad	0.0856709
"Mark Green"	0.0850572
"Amo Houghton"	0.0848866
"David Bonior"	0.084256
"Fred Upton"	0.0840343
"Michael Forbes"	0.0834703
"Bob Franks"	0.0829712
"Julian Bond"	0.0829535
"Tom Coburn"	0.0827435
"Charlene Barshefsky"	0.08244
"Max Baucus"	0.0822342
"Tom DeLay"	0.081831
"William Roth"	0.0815931
Ikimi	0.0811216
"Jim Nicholson"	0.0799509
"Arthur Levitt"	0.0798004
Rogan	0.0796753
R-Ga.	0.0787914
Jovanovic	0.0785165
"Tom Harkin"	0.0758386
"Bob Graham"	0.0751374
Juma	0.0750944
"Sonny Bono"	0.0749457
"Dick Armey"	0.0739336
"Rick Lazio"	0.073573
Strauss-Kahn	0.073504
R-Ind.	0.0734142
"Craig Thomas"	0.0733654
"Richard Gephardt"	0.0726289
"Larry Craig"	0.0724389
Fleischer	0.0716137
"Jeff Sessions"	0.071376
Mack	0.0712038
"Tim Johnson"	0.0711836
Naumann	0.070617
"Robert Bennett"	0.0698238
"Robert Aventajado"	0.0694284
"Jon Kyl"	0.0692649
"Faisal Husseini"	0.0690333
"Carlos Westendorp"	0.0686823
"Roy Romer"	0.0685872
"Amien Rais"	0.0679914
Zamora	0.0672443
"Susan Molinari"	0.0670738
"Vladislav Jovanovic"	0.0668684
Kostov	0.0667344
"John Conyers Jr."	0.0664516
Solis	0.0661348
"Ron Wyden"	0.065908
"Sam Brownback"	0.0652902
Alatas	0.0652753
"Marzuki Darusman"	0.0648783
Lehane	0.0648691
"Frank Murkowski"	0.06477
McConnell	0.0643901
Singson	0.0639193
Insulza	0.0636744
R-Fla.	0.0634418
"Gene Sperling"	0.0632204
"Richard Lugar"	0.0626549
Harkin	0.0622771
Valenti	0.0620594
Talebi	0.062021
Choate	0.0615825
"John Shalikashvili"	0.0615656
Wolfson	0.0612057
Gephardt	0.0611368
"Don Nickles"	0.0610154
"John Warner"	0.060596
Jayakumar	0.0604332
Ruehe	0.0601152
Ebersol	0.0600824
Gilman	0.0599726
"Geraldine Ferraro"	0.0599068
"Henry Shelton"	0.0594679
Boueiz	0.0592973
"Thad Cochran"	0.0591644
"Klaus Naumann"	0.0590966
"Jim Gilmore"	0.058936
"Mike DeWine"	0.0589024
"Dick Gephardt"	0.0587333
"Rick White"	0.05865
Burton	0.0586399
"Richard Shelby"	0.0585348
"Orrin Hatch"	0.0583904
Hyde	0.0582948
"Gary Johnson"	0.0582583
Malu	0.0577163
Leahy	0.0576785
Hahn	0.0575111
Dodd	0.0571854
"Thomas Mann"	0.0571713
"Orlando Mercado"	0.0569821
"Fred Thompson"	0.0569007
"Jack Valenti"	0.0567764
"James Jeffords"	0.0567608
"Ted Stevens"	0.0566754
"Jim Jeffords"	0.0566316
Schmalensee	0.0566113
"Imelda Marcos"	0.0566098
"Dick Pound"	0.0565749
"Qin Huasun"	0.0561824
"administration official"	0.055833
"Sumner Redstone"	0.0557613
))
("Charles Darwin" (desc 2092.61) (sims
Darwin	0.0951961
"Sigmund Freud"	0.0830049
Folkman	0.0811598
"Albert Einstein"	0.0712987
"Mark Twain"	0.0627185
Kohn	0.0621933
Gutman	0.0621596
Einstein	0.0616596
hodgson	0.0610952
Edelman	0.0602948
"Abraham Lincoln"	0.0597558
Maritz	0.0547764
Monteverdi	0.0541519
Thoreau	0.054079
Neel	0.0534358
Merlino	0.0507799
"Jacqueline Kennedy Onassis"	0.049601
Caddell	0.0494364
Scholes	0.0486857
"Mao Zedong"	0.0481876
"Andrew Jackson"	0.0480855
"Leonardo da Vinci"	0.0473965
Sepracor	0.0473858
noone	0.0467708
Hartley	0.0467059
Freud	0.0464478
"Advertising Age"	0.0455467
Cowens	0.0453145
Archimedes	0.0453112
"George Bernard Shaw"	0.0451626
Alarcon	0.0448662
Aristotle	0.0448216
"Comrade Deng Xiaoping"	0.0444687
Socrates	0.0444238
Rosenthal	0.0443809
Goethe	0.0439315
"Marco Polo"	0.0438419
Confucius	0.0436204
"Linus Torvalds"	0.0432883
Granma	0.0432549
Schmalensee	0.0431721
Chaucer	0.0426755
Incyte	0.0425742
Ribbeck	0.0421967
"Raymond Chandler"	0.0421379
"Judah Folkman"	0.0420024
Ingraham	0.0418899
Tilberis	0.0408781
WEF	0.0405331
Beckenbauer	0.0405111
Alioto	0.0404604
"Evening Standard"	0.0403589
Hirsch	0.0403381
))
("Charles de Gaulle" (desc 2240.93) (sims
Stansted	0.160863
"Pervaiz Musharraf"	0.147072
"Robert Guei"	0.140535
"Maung Aye"	0.136366
"Manuel Noriega"	0.12448
"Ansumane Mane"	0.123342
"Lino Oviedo"	0.123219
Heathrow	0.121434
"Olusegun Obasanjo"	0.1199
"Dwight D. Eisenhower"	0.114465
"Douglas MacArthur"	0.113458
"Abdulsalami Abubakar"	0.112071
"Ulysses S. Grant"	0.109974
"Joseph Ralston"	0.109035
"Salim Saleh"	0.107138
"La Guardia"	0.106638
"Than Shwe"	0.103779
"Abdulsalam Abubakar"	0.10308
"Pervez Musharraf"	0.102175
"John Shalikashvili"	0.101436
LaGuardia	0.101293
"Omar Torrijos"	0.100679
"Capital Airport"	0.099697
"Henry H. Shelton"	0.0970131
"Khin Nyunt"	0.0967102
Hartsfield	0.0965605
"Norman Schwarzkopf"	0.0957706
"Oladipo Diya"	0.0951826
Dulles	0.09405
"Xiong Guangkai"	0.0938731
"Ratko Mladic"	0.0924685
"Tin Oo"	0.0922347
"Klaus Naumann"	0.0916206
"Zhang Wannian"	0.0909816
"Igor Sergeyev"	0.0898149
"Macao International Airport"	0.0882747
"Henry Shelton"	0.0880346
"Robert E. Lee"	0.0872403
"USS Enterprise"	0.0861755
"Hugh Shelton"	0.0858717
"Vladimir Yakovlev"	0.0853027
"Hartsfield International Airport"	0.0842226
Sutiyoso	0.0836247
O'Hare	0.0832889
"Paul Kagame"	0.0831498
"Sani Abacha"	0.0818374
"Francisco Franco"	0.0811566
"Kai Tak"	0.0803841
"Shaul Mofaz"	0.0789515
"Jacques Chirac"	0.0788626
Musharraf	0.0782447
"Alexander Lebed"	0.0778026
"George Washington"	0.077104
"Kim Il Sung"	0.075976
PATNA	0.0758104
Aideed	0.075472
"attack submarine"	0.0753383
"Sali Berisha"	0.0740667
Gaulle	0.0731229
Guevara	0.0723429
"Prabowo Subianto"	0.0715448
"Barry R. McCaffrey"	0.071105
"Fu Quanyou"	0.0707682
Ershad	0.0699543
"John F. Kennedy"	0.0697055
Malpensa	0.0693703
"Barry McCaffrey"	0.069213
frontlines	0.0683775
Ataturk	0.0680954
Stoyanov	0.0680752
"Karl Marx"	0.0679028
"Mike Jackson"	0.0678909
"Chavalit Yongchaiyudh"	0.0671886
"Wesley Clark"	0.0663648
"Noboru Takeshita"	0.0663407
Duesseldorf	0.0657733
Sakyamuni	0.0654667
Eisenhower	0.0647929
Larnaca	0.0643204
"Mohamed Siad Barre"	0.0641116
Xanana	0.0637001
Assab	0.0636795
"Boutros Boutros Ghali"	0.0633657
"Chi Haotian"	0.0628291
harbour	0.0627734
"Chek Lap Kok"	0.0627497
"Renato Ruggiero"	0.062514
Abubakar	0.061732
Logan	0.061573
Bedie	0.0614203
"Roosevelt Johnson"	0.0613015
Lissouba	0.0611527
"Winston Churchill"	0.0611194
Wiranto	0.0605734
"Hong Kong International Airport"	0.0602292
"Francis of Assisi"	0.0601351
"Sky Harbor"	0.0601231
"Leonardo da Vinci"	0.0599274
Constantinescu	0.0597279
"Sam Houston"	0.0595231
"Ramsey Clark"	0.0595023
"Theodore Roosevelt"	0.0593969
Narayanan	0.0590267
Masire	0.0589991
"Surat Thani"	0.0588503
"Colin Powell"	0.0586869
"Simon Bolivar"	0.0580327
Soong	0.0578415
"De Klerk"	0.0577498
"Idi Amin"	0.0576234
"Andrews Air Force Base"	0.0575904
"Mike Moore"	0.0574736
"Logan Airport"	0.0574376
"Abraham Lincoln"	0.0572988
Paphos	0.0572337
"Kitty Hawk"	0.0571245
"Gro Harlem Brundtland"	0.0568276
"Confederate soldier"	0.0567289
"Norodom Ranariddh"	0.0566726
"Vaclav Klaus"	0.0562837
"Christopher Columbus"	0.0559524
Shevardnadze	0.055818
"Augusto Pinochet"	0.0556331
"Ferdinand Marcos"	0.055593
"Dwight Eisenhower"	0.055522
"Laurent Fabius"	0.0553892
"Jacques Santer"	0.0553065
"Esmat Abdel Meguid"	0.0551773
"Kenneth Clarke"	0.0546762
Muluzi	0.0546247
"David Hale"	0.054621
"Ho Chi Minh"	0.0545658
Eyadema	0.0545112
Scalfaro	0.0542737
"Franklin Delano Roosevelt"	0.0538237
Wamba	0.0537655
Nujoma	0.0535254
"Jerzy Buzek"	0.0533237
Iliescu	0.0532243
"Lionel Jospin"	0.053053
"Michel Camdessus"	0.0529999
Omar	0.0526909
"Franklin D. Roosevelt"	0.05254
Amour	0.0525379
Patasse	0.0525035
"B.J Habibie"	0.0520458
Guei	0.0519443
"Ricardo Alarcon"	0.0516117
"Scott Harshbarger"	0.0513849
"Megawati Sukarnoputri"	0.0511334
"Biljana Plavsic"	0.0510359
Hrawi	0.050756
"Michael Heseltine"	0.0505211
Koresh	0.0501929
"Liu Huaqing"	0.0501208
"Victor Malu"	0.0501138
Sharjah	0.0500452
"Vladimir Meciar"	0.0499973
Oro	0.0497225
Aidid	0.0496764
"Newark International Airport"	0.0496013
Moscoso	0.0494118
Bouteflika	0.0494102
Buyoya	0.0493414
"Mobutu Sese Seko"	0.0493249
"Lloyd Bentsen"	0.0493075
"Kim Jong Il"	0.0492658
Kindu	0.049221
"Ricardo Lagos"	0.049106
Luong	0.0490073
Diouf	0.0488352
"Charles Taylor"	0.0487426
"John Quincy Adams"	0.0485712
Izetbegovic	0.0485228
"Ariel Sharon"	0.0484786
Mkapa	0.0484602
"Wim Duisenberg"	0.0484339
"Antelope Valley"	0.0484137
"Michael Jackson"	0.0483541
Dodik	0.0483515
"James Jones"	0.0483368
"Mikhail Gorbachev"	0.0483214
Davao	0.0483006
Bucaram	0.0481922
Klestil	0.0480253
"Franz Beckenbauer"	0.0479992
"R.J Reynolds"	0.0479352
Jayalalitha	0.0479314
"Harry S. Truman"	0.0479165
"Lee Hsien Loong"	0.0478163
Bizimungu	0.0477499
Mitterrand	0.0475041
"Alain Juppe"	0.0473865
"Ayatollah Ruhollah Khomeini"	0.0473574
Karimov	0.0472382
Zia	0.0472165
Prabowo	0.0470929
Obasanjo	0.0466707
"Montego Bay"	0.0462988
"Prophet Mohammed"	0.0462613
))
("Charles Dickens" (desc 3019.79) (sims
"William Faulkner"	0.164066
"Edith Wharton"	0.162905
"Henry James"	0.145779
"Jane Austen"	0.142473
Dickens	0.128799
"Emily Dickinson"	0.120163
"Elmore Leonard"	0.119748
"F. Scott Fitzgerald"	0.11812
"Herman Melville"	0.10997
"Robert Frost"	0.105567
"Oscar Wilde"	0.103117
"Mark Twain"	0.101586
"Vladimir Nabokov"	0.100742
"Virginia Woolf"	0.096886
"John Irving"	0.0935052
Kafka	0.0930956
"Victor Hugo"	0.0896488
Nabokov	0.0861736
"Walt Whitman"	0.0856639
"Toni Morrison"	0.0855952
"Graham Greene"	0.0851537
Austen	0.084948
Tolstoy	0.0802434
Balzac	0.0785975
Melville	0.0784757
"Philip Roth"	0.0783155
Brecht	0.0747553
"Stephen King"	0.0691235
"James Joyce"	0.0689671
"Lillian Hellman"	0.0681911
Carre	0.0681456
Steinbeck	0.0657046
"George Orwell"	0.0652433
Burroughs	0.0646781
"Tom Wolfe"	0.0642274
"Ernest Hemingway"	0.0641413
McMurtry	0.0641243
"this @@@@"	0.061905
"James Jones"	0.0618686
Chaucer	0.0613232
Chekhov	0.0601354
"John Steinbeck"	0.0596796
"Eugene O'Neill"	0.0590283
"John Grisham"	0.0584578
Trollope	0.0582141
"George Bernard Shaw"	0.0581714
"Lewis Carroll"	0.0577192
"Orson Welles"	0.0563106
"Pope John Paul"	0.0561607
"Michael Crichton"	0.0556716
Grisham	0.0548487
Dumas	0.0544702
Proust	0.0533217
Updike	0.0531171
Rushdie	0.0527854
Puzo	0.0522705
"John Updike"	0.052127
Ibsen	0.0519886
Chappell	0.051659
Goethe	0.0516302
McEwan	0.051528
"Truman Capote"	0.0505809
Joyce	0.0494287
Klemperer	0.0492403
Scarpetta	0.0489278
"George Will"	0.0489157
"Raymond Chandler"	0.0486745
Bushnell	0.048171
"Sigmund Freud"	0.0477163
Pushkin	0.0470536
Marceau	0.0469571
Hemingway	0.0468834
"Thomas Mann"	0.0465898
Dickensian	0.0462827
Moratinos	0.0460804
Truffaut	0.045473
"Edgar Allan Poe"	0.0454595
Tarawneh	0.0453343
Carlyle	0.0451076
"TOM CLANCY"	0.0449485
Wolfe	0.0448418
Gibbons	0.0446397
"Larry McMurtry"	0.0446383
Caldwell	0.0443171
"Gertrude Stein"	0.0442477
Dostoyevsky	0.0437135
"Alfred Hitchcock"	0.043506
Yastrzhembsky	0.0433398
Saramago	0.0431246
Rosenbaum	0.0427702
"Sherlock Holmes"	0.0427262
"Ralph Ellison"	0.0426981
Schell	0.0424313
"de Charette"	0.0421475
"Ruiz Massieu"	0.0420984
Vinci	0.0419394
Solzhenitsyn	0.0419329
Xiong	0.0419171
"E.B White"	0.0415253
Naumann	0.0414708
Sartre	0.041372
Groucho	0.0412837
Holl	0.0412447
Anil	0.0410412
Heaney	0.0410317
Vonnegut	0.0410279
"Margaret Mitchell"	0.0407599
Higgins	0.0404052
nonfiction	0.0403219
Colette	0.0400306
))
("Charles Dolan" (desc 1157.76) (sims
"Jerry Reinsdorf"	0.181632
"Sumner Redstone"	0.173121
"Julian Bond"	0.163935
"Jack Welch"	0.159411
"Tony Coelho"	0.146691
"Arthur Levitt"	0.146177
"Jim Nicholson"	0.143973
"Tom Johnson"	0.143565
"Hugh Shelton"	0.142862
"Yegor Stroyev"	0.137609
"Gerald Levin"	0.133699
"Michael Dell"	0.132229
"Jack Gargan"	0.122983
"Gianni Agnelli"	0.121485
"Lucio Tan"	0.118082
"Marzuki Darusman"	0.115016
"Michael Eisner"	0.113471
"Steve Case"	0.112614
"Roy Romer"	0.112558
"John Shalikashvili"	0.111957
"Martin Lee"	0.111576
"Cyril Ramaphosa"	0.109565
Harmoko	0.107296
"Archbishop Desmond Tutu"	0.107231
"Martin Frost"	0.106803
"John Malone"	0.106183
"Nur Misuari"	0.106029
"Klaus Naumann"	0.104805
"Gennady Seleznyov"	0.104009
"Henry H. Shelton"	0.10258
"Wang Daohan"	0.10224
"Rolf Ekeus"	0.10194
"Eli Broad"	0.0988801
"Yossi Sarid"	0.0988425
"Benjamin Gilman"	0.0987234
"Tom Davis"	0.0984271
"Gene Sperling"	0.0975481
"Amien Rais"	0.0964417
"Barry Diller"	0.0945969
"Oskar Lafontaine"	0.0942401
"David Dreier"	0.0941575
"Qiao Shi"	0.0935134
"John Boehner"	0.0930944
"Dan Burton"	0.0927276
"Chea Sim"	0.0913584
"M. Douglas Ivester"	0.0906535
"Robert E. Rubin"	0.0900812
"Li Ruihuan"	0.0896184
"Defense William Cohen"	0.0886784
"Wolfgang Schaeuble"	0.0882623
"Lee Hamilton"	0.0882323
"Desmond Tutu"	0.0882264
"Bill Archer"	0.0881912
"Koo Chen-fu"	0.0874491
"Frank Joklik"	0.0872839
"Jack Valenti"	0.0864569
"Than Shwe"	0.0863922
"Vince McMahon"	0.0862726
"James Sensenbrenner"	0.0859245
"Robert Johnson"	0.0855213
"William Roth"	0.0850926
"Jonas Savimbi"	0.085003
"Ted Stevens"	0.0847911
"Alija Izetbegovic"	0.0847298
"Terry McAuliffe"	0.0838446
"John Browne"	0.0836823
R-Alaska	0.0832668
"Don Young"	0.0826194
"J.C. Watts"	0.0825007
"Porter Goss"	0.0816663
"Bill Thomas"	0.0806861
Hindery	0.0796992
R-Del.	0.0794761
"Rupert Murdoch"	0.0790574
"Cheng Siwei"	0.0790459
"William Daley"	0.0787515
"Ronald Perelman"	0.0786695
"Dan Miller"	0.0784355
"Michel Camdessus"	0.0779916
R-N.H.	0.0769959
"Megawati Soekarnoputri"	0.0768677
"Robert Aventajado"	0.0750504
"Billy Payne"	0.0749242
"Ivan Kostov"	0.0744555
"John Linder"	0.0744479
"Robert Bennett"	0.0744359
"Dan Meridor"	0.0735841
"Mikulas Dzurinda"	0.0729064
"Frank Murkowski"	0.0727587
"Henry Shelton"	0.0727083
"Lamar Smith"	0.072503
"John Kasich"	0.0722485
"Jacques Rogge"	0.0718451
"Richard Butler"	0.0718245
"Bob Daly"	0.0716878
"Richard Branson"	0.0715009
"Sam Nunn"	0.0706616
"Larry Ellison"	0.0703013
R-Wis.	0.0702897
"Scott McNealy"	0.0701535
"James Barksdale"	0.0700607
"Jack Smith"	0.0700487
Kennard	0.0689196
R-Mich.	0.0686801
"Tommy Thompson"	0.0685682
"John Warner"	0.0683941
R-La.	0.0681887
R-N.M.	0.0678036
"Pete Domenici"	0.0673382
"Zhou Guangzhao"	0.0662356
"Abdurrahman Wahid"	0.0661906
R-Ala.	0.065809
"Edgar Bronfman Jr."	0.0657073
R-Vt.	0.0656754
Beckenbauer	0.0653145
"Hans Blix"	0.0651445
"Earl Spencer"	0.0646647
"Lowell Weicker"	0.0642626
R-Va.	0.0642156
"Mel Karmazin"	0.0632283
"Colin Powell"	0.0632143
"Hearst Corporation"	0.0630527
"Jim Leach"	0.0628854
"John Koskinen"	0.0628315
"Bruton Smith"	0.0627195
R-Iowa	0.0621058
MOE	0.0614109
"Asif Ali Zardari"	0.0610388
Milstein	0.0610163
"Milos Zeman"	0.0609026
"Dick Pound"	0.0600759
"George Mitchell"	0.0599368
Rais	0.0595571
R-Ky.	0.0594949
"Harvey Weinstein"	0.0588545
"Wu Jieping"	0.0587177
Misuari	0.0586846
"Gennady Zyuganov"	0.058514
R-Neb	0.0578589
"Qian Qichen"	0.0576433
"Tian Jiyun"	0.0575995
"Mao Zedong"	0.0575672
"Jon Corzine"	0.0573075
R-N.C.	0.0573026
Tauzin	0.0570508
"Patrick Kennedy"	0.0570109
R-N.J.	0.0562696
R-Idaho	0.0562577
"Bulent Ecevit"	0.0561699
exboyfriend	0.0560182
Tennant	0.0557787
R-Kan.	0.0557038
R-S.C.	0.055586
"Peter Angelos"	0.0555822
"Fatos Nano"	0.0555325
"Laura Bush"	0.0555201
"Esther Dyson"	0.0554698
Ebbers	0.0552142
Dolan	0.0547244
"Fred Meyer"	0.0544845
Verney	0.0543244
Allan	0.0540491
R-Ind.	0.0539868
"Wang Guangying"	0.0536485
"Orlando Mercado"	0.0536141
Goss	0.0535034
R-Pa.	0.0534197
"Robert Shaw"	0.0530351
werewolf	0.0530035
"Vaclav Klaus"	0.0529799
"Jeff Bezos"	0.0518126
Leavitt	0.0517771
"Mitch McConnell"	0.0514259
D-S.C.	0.051411
"Rod Thorn"	0.0513647
"Richard Lugar"	0.0512697
"Thabo Mbeki"	0.0510038
Brownback	0.0509607
"Richard Shelby"	0.0509548
R-Okla.	0.0509229
Catacosinos	0.0508065
Ratliff	0.050744
"Charles Canady"	0.0503892
"Michel Platini"	0.0502808
VENATOR	0.0498766
D-Texas	0.0497463
Joklik	0.0495682
"Sonny Liston"	0.0495049
"Frank Keating"	0.0493335
"John Kelly"	0.0492703
Rosen	0.0489514
"Strom Thurmond"	0.0488187
"Franz Beckenbauer"	0.0481709
"Qian Weichang"	0.0481104
Rendell	0.0477541
McCombs	0.0477299
"Isaac Stern"	0.0475614
"Cable &AMP; Wireless"	0.0475231
"Liu Shaoqi"	0.0473228
"Cheng Kejie"	0.0472049
))
("Charles E. Schumer" (desc 1986.09) (sims
"Charles Schumer"	0.352689
"Carolyn McCarthy"	0.332231
"Carolyn Maloney"	0.284386
"Jerrold Nadler"	0.276241
"Nita Lowey"	0.26191
"Jose Serrano"	0.256767
"Charles Rangel"	0.249308
"Daniel Patrick Moynihan"	0.205831
"Sherwood Boehlert"	0.189308
"Chuck Schumer"	0.188472
"Max Baucus"	0.179453
"Dan Coats"	0.169968
"Carl Levin"	0.169826
"Jim Bunning"	0.168393
"Porter Goss"	0.16802
"Robert C. Byrd"	0.162112
"Jack Quinn"	0.159748
"Michael Forbes"	0.159549
"Frank Lautenberg"	0.158952
"David Dreier"	0.158693
"Martin Frost"	0.154005
"Jim Kolbe"	0.153368
"Linda Smith"	0.152647
"Peter Fitzgerald"	0.149101
"Barney Frank"	0.147485
"Olympia J. Snowe"	0.146724
"Dan Miller"	0.146474
"Nancy Pelosi"	0.145492
"Lee Hamilton"	0.143029
"Christopher Shays"	0.142012
"Patrick Leahy"	0.142011
"Tom Campbell"	0.140685
"John Breaux"	0.140445
"Bob Franks"	0.139467
"Joseph I. Lieberman"	0.13945
"Richard Lugar"	0.138942
"Judd Gregg"	0.138167
"Jim Jeffords"	0.137559
"Robert Byrd"	0.136592
"Larry Craig"	0.136483
"Lauch Faircloth"	0.135739
"Bob Kerrey"	0.135337
"John Edwards"	0.135312
"Martin Meehan"	0.134724
"Spencer Abraham"	0.134589
"Dianne Feinstein"	0.134048
"Eliot Spitzer"	0.133047
"Sam Nunn"	0.132782
"Connie Morella"	0.132285
"Tom Hayden"	0.13223
"Kent Conrad"	0.13217
"Patty Murray"	0.13184
"James Jeffords"	0.131362
"Bob Graham"	0.130923
"Joseph Biden"	0.130739
"Peter King"	0.129699
"John Warner"	0.127999
"Tom Daschle"	0.127347
"Charles Stenholm"	0.127261
"Don Nickles"	0.12617
"Rick Lazio"	0.126051
"Barbara Boxer"	0.126024
"Chuck Hagel"	0.125962
Schumer	0.125635
"Kit Bond"	0.124788
"Russell Feingold"	0.123087
"Bill McCollum"	0.122725
"Ron Wyden"	0.122315
"John Kerry"	0.122225
"Robert Torricelli"	0.121977
"Edward Kennedy"	0.121918
"Thad Cochran"	0.121753
"Tom Harkin"	0.121717
"Tim Johnson"	0.121698
"Greg Ganske"	0.121606
"Gordon Smith"	0.121017
"Blanche Lincoln"	0.120299
"Bernard Sanders"	0.120029
"Jim Hodges"	0.119463
"John Dingell"	0.119311
"Christopher Cox"	0.118224
"John Conyers"	0.118138
"Rick Santorum"	0.118085
"John Boehner"	0.118012
"Herb Kohl"	0.117777
"Paul Wellstone"	0.117721
"Edward M. Kennedy"	0.116934
"Bill Frist"	0.116821
"Curt Weldon"	0.116739
"Sam Brownback"	0.116612
"Mario Cuomo"	0.116104
"William Roth"	0.115962
"Evan Bayh"	0.115723
"Charles Canady"	0.115708
"Susan Molinari"	0.115434
"Henry Waxman"	0.114866
"Peter Vallone"	0.114802
"Zoe Lofgren"	0.114294
"Frank Murkowski"	0.113342
"Pat Roberts"	0.113247
"Kay Bailey Hutchison"	0.112661
"Richard Bryan"	0.112275
"Robert Bennett"	0.112106
Moynihan	0.111542
"Tim Hutchinson"	0.111449
"Byron Dorgan"	0.111344
"J.C. Watts"	0.111236
"Phil Gramm"	0.111169
"Richard Shelby"	0.110828
"Geraldine Ferraro"	0.110291
"Maxine Waters"	0.109993
"Richard Gephardt"	0.109698
"Ted Stevens"	0.109586
"Howard Baker"	0.109496
"Ted Kennedy"	0.109392
"George Miller"	0.108517
"Gary Hart"	0.107896
"Lamar Smith"	0.107511
"Olympia Snowe"	0.107328
"Christopher Smith"	0.107155
"Alejandro Toledo"	0.107022
"Harry Reid"	0.106888
"Barbara Mikulski"	0.106675
"Susan Collins"	0.105874
"Benjamin Gilman"	0.105843
"Bill Thomas"	0.105671
"Mike DeWine"	0.105517
"Connie Mack"	0.105464
"Asa Hutchinson"	0.104629
"Pete Domenici"	0.104422
"John Chafee"	0.104124
"Mitch McConnell"	0.1033
"Charles Robb"	0.103113
"Mark Green"	0.102901
"Russ Feingold"	0.102542
"Slade Gorton"	0.102391
"John Lewis"	0.10124
"Alfonse D'Amato"	0.101207
"Jeff Sessions"	0.101125
"Sheila Jackson Lee"	0.101037
"Dale Bumpers"	0.10068
"Zell Miller"	0.100527
"Jon Kyl"	0.100358
"Dick Durbin"	0.100333
"John Ashcroft"	0.0997739
"Paul Coverdell"	0.0995767
Biden	0.0994054
"Vojislav Kostunica"	0.0993242
"Robert Menendez"	0.0992833
Rangel	0.0991246
"Christopher Dodd"	0.0990296
"Joseph Lieberman"	0.0986919
"Jim Leach"	0.0984621
"Ernest Hollings"	0.0983512
"Jim Turner"	0.0974332
"Lloyd Doggett"	0.0970809
"George Nethercutt"	0.0968973
"David Bonior"	0.0968363
"Ed Bryant"	0.0966554
"Norm Dicks"	0.0960802
"Craig Thomas"	0.0957253
"Ron Paul"	0.0951041
"Conrad Burns"	0.0947029
"Don Young"	0.0943849
"Mary Landrieu"	0.0940651
"Max Cleland"	0.0939862
"Robert Livingston"	0.093912
"Mel Carnahan"	0.0938801
"John Linder"	0.0938666
"Charles Grassley"	0.0937757
"Orrin Hatch"	0.0926548
"Robert F. Kennedy"	0.0925626
"Sue Kelly"	0.0918121
"Steve Largent"	0.0912051
"Warren Rudman"	0.091199
"Fred Thompson"	0.0910602
"Roy Barnes"	0.090826
"Strom Thurmond"	0.0899825
"Matt Salmon"	0.0897774
"George McGovern"	0.0890405
"Ben Nighthorse Campbell"	0.088269
"Henry Bonilla"	0.0882245
"Patrick Kennedy"	0.0881614
"Lindsey Graham"	0.088016
R-N.Y.	0.0877341
"John Sweeney"	0.0875453
"Joseph McCarthy"	0.0874038
"Bob Barr"	0.0873846
"James Sensenbrenner"	0.0862846
"Richard Durbin"	0.0854968
"George Gekas"	0.0849069
"Dan Lungren"	0.0848286
"Billy Tauzin"	0.0840733
"Amo Houghton"	0.0837327
"Lincoln Chafee"	0.0834268
"Chris Smith"	0.0832062
Nadler	0.0824231
"Barry Goldwater"	0.0821811
"Arlen Specter"	0.0815988
"Bob Smith"	0.0814295
))
("Charles Gibson" (desc 1650.51) (sims
"Connie Chung"	0.239659
"Katie Couric"	0.217157
"Sam Donaldson"	0.16304
"Barbara Walters"	0.143614
"Matt Lauer"	0.142687
"Lou Dobbs"	0.137214
"Diane Sawyer"	0.1229
"Bryant Gumbel"	0.119184
"Geraldo Rivera"	0.108938
"Ted Koppel"	0.105082
"Kathie Lee Gifford"	0.0993955
"Ed McMahon"	0.0955716
"Don Imus"	0.0935924
"Bernard Shaw"	0.091614
"Chris Berman"	0.0911645
"Bob Costas"	0.090794
"Renato Ruggiero"	0.0875314
"Brian Williams"	0.0864977
"Bora Milutinovic"	0.0854174
"Tim Russert"	0.0851435
"Walter Cronkite"	0.0845614
"Bill Maher"	0.0839458
"Jim Lehrer"	0.0825045
"Rick Neuheisel"	0.0823107
"Mike Nichols"	0.0817933
"Ruud Gullit"	0.0817337
"Keith Olbermann"	0.0813058
"World News Tonight"	0.0795267
"Dick Clark"	0.0779583
"Michel Camdessus"	0.0769107
"Jim Harrick"	0.0767545
Iger	0.076246
"Wolfgang Schaeuble"	0.0750911
"Larry King"	0.0749105
Murayama	0.0736679
Rongen	0.0727757
"David Frost"	0.0691225
Verney	0.0684211
"Peter Jennings"	0.0683487
Havelange	0.0679741
GUMBEL	0.0677555
"Phil Donahue"	0.0670428
"Glenn Hoddle"	0.0670392
"Jim Leyland"	0.0669801
"Laura Schlessinger"	0.0654163
Russert	0.0652985
"Johnny Carson"	0.065013
Ruggiero	0.0647338
"Seiji Ozawa"	0.0643584
"Dateline NBC"	0.0641495
Kilborn	0.0637467
"Chuck Daly"	0.0637451
Milbury	0.0637078
"Jon Stewart"	0.0636486
"M. Douglas Ivester"	0.0636168
Masire	0.0626855
"Krishna Prasad Bhattarai"	0.0619672
Passarella	0.0618862
"Mary Tyler Moore"	0.0617767
"Tom Brokaw"	0.0605255
"Joao Havelange"	0.0600656
Daft	0.0590556
"Gloria Steinem"	0.0589809
"Kevin Keegan"	0.0588092
"Glenn Hoffman"	0.0586165
"Jenny Jones"	0.0580871
"P.J Carlesimo"	0.0576996
"Juan Antonio Samaranch"	0.0572635
Bucaram	0.0567831
"weather forecaster"	0.0566526
"Joan Rivers"	0.0565217
Dudayev	0.0563838
"Rosie O'Donnell"	0.0559915
Sawyer	0.0559105
Ruehe	0.0554117
Ohlmeyer	0.0553434
Venables	0.0552376
Zambrano	0.0552338
"Tony Coelho"	0.0551084
"Roy Romer"	0.0549262
"William Daley"	0.0548231
DiCarlo	0.0548213
"Dan Rather"	0.05465
Walters	0.0543591
Imus	0.0538468
"Mike Holmgren"	0.0538132
Banharn	0.0536586
INTERFET	0.0533432
Stoneman	0.0528587
Nano	0.0525821
"Mike Wallace"	0.0525655
"Louise Arbour"	0.0517931
Alarcon	0.051688
"Paul Westphal"	0.0513899
"Oprah Winfrey"	0.0509578
"Steve Allen"	0.0509443
"Kim Jong-pil"	0.0508264
"Frank Joklik"	0.0507928
Sykes	0.0507669
Wendt	0.0507524
"Del Harris"	0.0504025
Cloude	0.0503293
"State Law and Order Restoration Council"	0.0501426
Ribbeck	0.0498719
Sato	0.0498667
"Inside Edition"	0.0497992
Schaeuble	0.0497469
"Boutros Boutros-Ghali"	0.0497194
Gowda	0.0496692
Devine	0.0494754
"Al Michaels"	0.0493694
Romer	0.0493319
Duisenberg	0.049161
"Regis Philbin"	0.0491292
"Jacques Santer"	0.0489906
"Abdollah Nouri"	0.0487048
Knapp	0.0486552
authorship	0.0483163
"George Seifert"	0.0480392
"Barry Switzer"	0.0479771
Aquino	0.0479447
O'Reilly	0.0477217
Harmoko	0.047565
"Amnuay Virawan"	0.0473856
ISSEL	0.047301
"Massimo D'Alema"	0.0470418
"Bill Walsh"	0.0469537
Willes	0.0469364
Klima	0.0468588
"John Calipari"	0.0467071
"Jerry Springer"	0.0466632
"David Levy"	0.0465468
"Implementation Force"	0.0465413
"John Shalikashvili"	0.0465154
"Dave Cowens"	0.0463642
"Jim Gray"	0.0463175
"De Soto"	0.046282
Jacquet	0.0461825
"Doc Rivers"	0.0460823
Blackmun	0.0458528
"Jim Hunt"	0.0458305
"President Lee Teng-hui"	0.045779
Hanley	0.0456619
"Garry Shandling"	0.0451
Hazen	0.0450584
Rabe	0.0450487
Schaffer	0.0449906
"Ernie Zampese"	0.0449465
Skiles	0.0448776
Tarawneh	0.0447855
Tomko	0.0447649
"Jay Leno"	0.0446792
"Tina Brown"	0.0444965
O'Donnell	0.0444743
"Today Show"	0.0442058
Gargan	0.0441996
Kelleher	0.0441804
"Cardinal John O'Connor"	0.044122
weatherman	0.0440727
Gerstner	0.0439812
Taubman	0.0439142
"David Letterman"	0.0438338
"Mike Atherton"	0.0437498
Zagallo	0.0436409
Jayakumar	0.0436133
Wagoner	0.0435924
Meciar	0.0435239
Romar	0.0434364
Symons	0.0433706
Lafleur	0.0432649
Zenga	0.043214
"Warren Moon"	0.0428713
"Dennis Erickson"	0.0428382
"Phil Jackson"	0.0426845
Hiddink	0.0426772
"Chan Gailey"	0.0426326
"Terry Collins"	0.0426313
"Robert E. Rubin"	0.0425203
"Sergei Stepashin"	0.0424724
"Fred Claire"	0.0424662
"Bill Moyers"	0.0424567
"Tim Floyd"	0.0423185
Bogle	0.0421776
Papandreou	0.0421352
"Bobby Newcombe"	0.0419834
Tobin	0.0419495
Monson	0.0419012
Debra	0.0418111
Fiorina	0.041803
Lasorda	0.0417497
"Larry Bird"	0.0417221
"Walter Zenga"	0.0416015
Slatkin	0.0414777
"Mike Dunleavy"	0.0414504
"Thurgood Marshall"	0.0414262
Posner	0.0413343
"Don Shula"	0.0412802
Holtz	0.0412215
"Tony Banks"	0.0411678
"June Jones"	0.0411418
))
("Charles Grassley" (desc 2828.13) (sims
"Tom Harkin"	0.260635
"Jim Leach"	0.255918
"Greg Ganske"	0.245554
"Jon Kyl"	0.21054
"Arlen Specter"	0.193612
"Slade Gorton"	0.19132
"Chuck Hagel"	0.177736
"Spencer Abraham"	0.176189
"Fred Thompson"	0.175477
Grassley	0.172362
"Kay Bailey Hutchison"	0.172037
"John Breaux"	0.171858
"Susan Collins"	0.171807
"Mike DeWine"	0.170906
"Connie Mack"	0.170083
"Pete Domenici"	0.165023
"Dianne Feinstein"	0.163882
"Olympia Snowe"	0.16343
"Sam Brownback"	0.163369
"Gordon Smith"	0.162567
"Bob Smith"	0.158677
"Joseph I. Lieberman"	0.15625
"Bob Graham"	0.152025
"Russell Feingold"	0.151609
"Ted Stevens"	0.148702
"Dan Coats"	0.148126
"Max Baucus"	0.148095
"Paul Coverdell"	0.146675
"Ron Wyden"	0.145926
"Christopher Dodd"	0.145733
"Herb Kohl"	0.144102
"Paul Wellstone"	0.142987
"Mitch McConnell"	0.141447
"John Chafee"	0.140379
"Orrin Hatch"	0.139575
"John Ashcroft"	0.13832
"Judd Gregg"	0.138023
"Jeff Sessions"	0.135801
"Peter Fitzgerald"	0.135323
"Phil Gramm"	0.134908
"Barbara Boxer"	0.13391
"Don Nickles"	0.133759
"Olympia J. Snowe"	0.132697
"James Jeffords"	0.131035
"Rick Santorum"	0.129589
"Robert Bennett"	0.12853
"Kent Conrad"	0.127075
"Daniel Patrick Moynihan"	0.127069
"Charles Schumer"	0.12586
"Joseph Biden"	0.125552
"Harry Reid"	0.123809
"Carl Levin"	0.123404
"John Kerry"	0.123117
"Bob Kerrey"	0.122709
"Larry Craig"	0.121603
"Robert C. Byrd"	0.121398
"Edward M. Kennedy"	0.12136
"Jim Jeffords"	0.12109
"Robert Byrd"	0.121049
"James Inhofe"	0.120903
"Richard Shelby"	0.120232
"Tom Daschle"	0.120002
"Patrick Leahy"	0.119686
"Russ Feingold"	0.119148
"Richard Bryan"	0.118536
"Warren Rudman"	0.117968
"Richard Lugar"	0.116243
"Conrad Burns"	0.116228
"Strom Thurmond"	0.114253
"Frank Lautenberg"	0.113993
"Robert Torricelli"	0.113627
"John Danforth"	0.113065
"Frank Murkowski"	0.111712
"Bill Frist"	0.111017
"Jesse Helms"	0.110608
"Patty Murray"	0.108112
"Edward Kennedy"	0.10616
"John Warner"	0.105606
"Pat Roberts"	0.102644
"Christopher Smith"	0.102075
"Byron Dorgan"	0.101146
"William Roth"	0.101
"Ben Nighthorse Campbell"	0.100524
"Tim Hutchinson"	0.100407
"Sam Nunn"	0.098226
"Dan Burton"	0.096821
"George Miller"	0.0964978
"Max Cleland"	0.0964383
"Gary Hart"	0.0960355
"Kit Bond"	0.0949062
"Charles E. Schumer"	0.0937757
"Mary Landrieu"	0.0936733
"George Voinovich"	0.0931016
"Howard Baker"	0.0926515
"George Mitchell"	0.0919276
"Zoe Lofgren"	0.0912479
"Trent Lott"	0.0904345
"Wayne Allard"	0.0904151
"Ted Kennedy"	0.087254
"Rod Grams"	0.0859087
"Blanche Lincoln"	0.0847106
"Joseph McCarthy"	0.0846355
"Tom Vilsack"	0.0841172
"Maxine Waters"	0.0833979
"Lincoln Chafee"	0.0829817
"Ernest Hollings"	0.082022
"John Edwards"	0.0820038
"Alfonse D'Amato"	0.0819989
"Christopher Cox"	0.081084
"Orlando Mercado"	0.0805387
"Dick Durbin"	0.0791499
"Charles Robb"	0.0789198
"John Dingell"	0.078817
"Tom Coburn"	0.0766649
"Joseph Lieberman"	0.0765675
"Evan Bayh"	0.0765254
"Henry Waxman"	0.0759577
"Thad Cochran"	0.0739259
"Dale Bumpers"	0.0736584
"Chief Executive Tung Chee-hwa"	0.0735583
"John Conyers"	0.0734597
Helms	0.0730851
"Henry Hyde"	0.0729723
"Richard Durbin"	0.0729556
"Bill McCollum"	0.072917
"Tom Campbell"	0.0728342
"Joe Lieberman"	0.0727598
Gramm	0.0727545
"Tim Johnson"	0.071477
"Craig Thomas"	0.0707122
"John Boehner"	0.0696896
"Lauch Faircloth"	0.0694971
"Arizona Republican"	0.068324
"Barbara Mikulski"	0.0682468
"H.D Deve Gowda"	0.0681639
"George Gekas"	0.0674944
R-Mo.	0.0654664
"Jim Bunning"	0.065184
"Mel Carnahan"	0.0643586
"Charlie Norwood"	0.0640165
"Pete Wilson"	0.0639536
flatlands	0.0629977
Ashcroft	0.0625538
D-Vt.	0.061794
Hayworth	0.0616892
"Tillie Fowler"	0.061049
"North Carolina Republican"	0.0605667
"Benjamin Gilman"	0.0602406
"Dennis Vacco"	0.0602079
"Paul Tsongas"	0.0601471
Moynihan	0.0600603
"Bernard Sanders"	0.0600542
"Gary Johnson"	0.0596168
"John Glenn"	0.0593854
"Bob Barr"	0.0590196
"Chuck Schumer"	0.0589791
"Robert F. Kennedy"	0.0586854
Scalfaro	0.0586794
Bruton	0.0586085
"Prime Minister Kamal El-Ganzouri"	0.0580101
"Jeanne Shaheen"	0.0577955
R-Ariz.	0.0577851
"Massachusetts Democrat"	0.0574645
"Jim McDermott"	0.0572922
"Chavalit Yongchaiyudh"	0.0569929
Feinstein	0.0563131
Daschle	0.0560955
McConnell	0.0559799
"Robert Smith"	0.0559558
Lott	0.0556268
"Charles Canady"	0.0554604
Samuelson	0.0553194
"Barry Goldwater"	0.055273
"Christopher Shays"	0.0551479
"Lloyd Bentsen"	0.0548535
"William Daley"	0.0547478
Waxman	0.0545765
"John Kasich"	0.0539157
Komura	0.053778
"Mark Foley"	0.0536306
Gorton	0.0535952
"Sher Bahadur Deuba"	0.0528394
"Wlodzimierz Cimoszewicz"	0.0524638
R-Utah	0.0523875
"Texas Republican"	0.0517811
"Tom Hayden"	0.051591
"Bill Archer"	0.0514574
Korman	0.0513845
"Ministry of Land"	0.0513391
Inhofe	0.05132
"House Majority Whip Tom DeLay"	0.0511853
"Eric Holder"	0.0511583
"Dan Miller"	0.0511478
"Kim Yong Nam"	0.05093
Bateman	0.0507263
Jayakumar	0.0506483
"Huang Ju"	0.050491
"John Conyers Jr."	0.0504279
"Tom DeLay"	0.0504007
"John Hagelin"	0.0503993
))
("Charles Haley" (desc 1346.73) (sims
"Dimitrius Underwood"	0.222048
"Courtney Brown"	0.217469
"Trace Armstrong"	0.204272
"Chuck Smith"	0.192065
"Jason Taylor"	0.189808
"Alonzo Spellman"	0.188283
"Ebenezer Ekuban"	0.175429
"Kavika Pittman"	0.173204
"Ferric Collons"	0.172579
"Lester Archambeau"	0.171932
"Pete Holland"	0.163556
"Simeon Rice"	0.163294
"Derrick Alexander"	0.161961
"Greg Ellis"	0.157856
"Michael Strahan"	0.157157
"Bryant Young"	0.153157
"Neil Smith"	0.151655
"Andre Wadsworth"	0.150252
"Chad Hennings"	0.146891
"Leon Lett"	0.145813
"Brandon Mitchell"	0.142164
"Sam Adams"	0.140895
"Warren Sapp"	0.140103
"Reggie White"	0.134756
"John Randle"	0.133283
"JEVON KEARSE"	0.131392
"Bruce Smith"	0.131216
"Howie Long"	0.127097
"Nate Newton"	0.119019
"Mike Jones"	0.116597
"Aaron Williams"	0.112584
"Willie McGinest"	0.109149
"Dana Stubblefield"	0.107992
"Cortez Kennedy"	0.107706
"Bill Walsh"	0.1038
"Mark Stepnoski"	0.103464
"Mark Tuinei"	0.103462
"Bobby Hamilton"	0.10074
"Herb Williams"	0.0976681
"Dave Campo"	0.0932352
"Shane Dronett"	0.0896122
"John Salley"	0.0887677
"Dave McGinnis"	0.0849106
"Craig Ludwig"	0.0826512
"Henry Thomas"	0.0819845
"Charlie Garner"	0.0819634
"Dennis Johnson"	0.080826
"Eric Swann"	0.0804176
"Kevin Johnson"	0.0793372
"two pitchers"	0.0787385
"Lomas Brown"	0.0768986
"Eddie Murray"	0.0763848
"Chad Eaton"	0.0752911
"Dale Hunter"	0.0746162
"Michael Myers"	0.0745821
Baerga	0.0743885
"Gary Gaetti"	0.0741692
"John Burkett"	0.0729929
"Travis Hall"	0.0727602
"Derek Harper"	0.0725466
"Jeff Garcia"	0.072543
"Everett McIver"	0.0725062
"Ronnie Lott"	0.0714577
"Stephen Davis"	0.0709348
"Larry Whigham"	0.070647
"Bruce Armstrong"	0.0706294
"Mark Smith"	0.0704245
"Tom Presthus"	0.0701746
libero	0.069639
"Corliss Williamson"	0.069448
"Rich Brooks"	0.0691937
"Tedy Bruschi"	0.0691492
"Herschel Walker"	0.06903
"Karim Abdul-Jabbar"	0.0689602
"Will Perdue"	0.0687705
"John Vanbiesbrouck"	0.068365
"Jumbo Elliott"	0.0675884
"Craig Counsell"	0.0675802
"Ricky Watters"	0.066944
"Grant Long"	0.0661591
"Matt Geiger"	0.0659997
Tuinei	0.0659028
"Ozzie Guillen"	0.0655933
Intimidator	0.0654735
"Steve Atwater"	0.0652628
"Joe Kleine"	0.0643787
"Dale Ellis"	0.0642026
"Eric Davis"	0.0638088
"line coach"	0.0636151
"Mike Timlin"	0.0631145
Pickens	0.0629766
"Eric Snow"	0.0628142
"Sherman Douglas"	0.0623981
"Grant Fuhr"	0.0622384
"Michelle Akers"	0.0619779
"Cliff Ronning"	0.0618598
Leetch	0.0617483
"Chris Calloway"	0.0616795
"Paul Gascoigne"	0.0616656
"Sam Perkins"	0.0614721
"Dwayne Goodrich"	0.0612016
"Bruce Matthews"	0.0611726
"Orel Hershiser"	0.0611131
Damm	0.061005
"Phillippi Sparks"	0.0608516
"Warren Moon"	0.0607733
"Paul Justin"	0.0605545
"Garry Galley"	0.0600543
Surhoff	0.0600385
"Mike Vernon"	0.0594404
"Derrick Thomas"	0.0593991
Heredia	0.0592376
mixup	0.0591972
"Greg Swindell"	0.059162
"Brian Shaw"	0.0589998
"Manny Fernandez"	0.0589223
"Clifford Robinson"	0.0588457
"Anita Wachter"	0.0587077
"Terry Allen"	0.0586589
"Tony Phillips"	0.0584387
Schrempf	0.0580167
"Henry Ford"	0.0578526
"Dave Wohlabaugh"	0.0578462
"Jaren Jackson"	0.0577796
"Tony Hutson"	0.0576959
imp	0.0575718
"Kerry Collins"	0.0573829
"Jose Mesa"	0.0571365
Ceballos	0.0566777
"George Teague"	0.0565716
Ranford	0.0563143
Grahame	0.0562245
"Chuck Finley"	0.0559797
"Ray Ferraro"	0.0553423
"Ron Harper"	0.0552412
Andreychuk	0.0550191
Duchesne	0.054965
"Juergen Klinsmann"	0.0549495
Appier	0.0547098
"Daryl Johnston"	0.0544688
"Jamir Miller"	0.054458
"Dick Jauron"	0.054303
Geiger	0.0541938
nance	0.0539449
"Andre Reed"	0.053929
"Jermaine O'Neal"	0.0538612
Paxon	0.0535926
"Felix Potvin"	0.0535109
"Terry Porter"	0.0533936
"Keith Byars"	0.0532487
Schourek	0.0531392
"Sandy Koufax"	0.0530405
"Jamal Lewis"	0.0529433
"Mitch Richmond"	0.0527625
"Jerome Kersey"	0.0522539
"Tony La Russa"	0.052212
"Ken Kocher"	0.0520779
Harnisch	0.0520296
Baggio	0.0519745
"Gary Trent"	0.0518799
Laudrup	0.0518287
"J.J Stokes"	0.0517704
"Bill Ranford"	0.0514688
"Mark Langston"	0.0514302
"Big Unit"	0.0514142
"Buck Williams"	0.0510547
"Ken Daneyko"	0.0510458
"Erik Kramer"	0.0509033
"Tim Raines"	0.0504012
"Brent Jones"	0.050352
Raines	0.0498186
"Ronnie Bradford"	0.0498151
"Trent Green"	0.0497775
"Brian Grant"	0.0496851
"silent movie"	0.0496462
"Kevin Appier"	0.0495636
"purchase contract"	0.0495537
"Huang Xu"	0.0493949
"Hu Weidong"	0.0492894
Vidro	0.0492224
"Jerry Rice"	0.0491531
"Gordie Howe"	0.0487272
Farr	0.0487091
"CORIE BLOUNT"	0.048581
"William White"	0.048547
"Paul Molitor"	0.0485414
"Ricky Rudd"	0.0484883
"Arthur Rhodes"	0.048448
switch-hitter	0.0483294
"Jeff Weaver"	0.0482918
"Robert Brooks"	0.0481544
Wendell	0.0481208
"Ian Wright"	0.0481101
"Mario Elie"	0.0480664
"Doug Pederson"	0.048049
"Jay Buhner"	0.0479708
Borbon	0.0477063
"Rick Tocchet"	0.0476977
doorbell	0.0476684
"Lawrence Phillips"	0.0476147
))
("Charles Johnson" (desc 8552.97) (sims
"Mike Bordick"	0.224282
"B.J Surhoff"	0.222126
"Todd Hundley"	0.217882
"Eric Karros"	0.195506
"Will Clark"	0.193192
"Robin Ventura"	0.189746
"Raul Mondesi"	0.188297
"Jeff Conine"	0.187848
"Harold Baines"	0.175147
"Gary Sheffield"	0.171688
"Brady Anderson"	0.171094
"Mike Piazza"	0.161471
"Shawn Green"	0.160434
"Devon White"	0.159114
"Delino DeShields"	0.154348
"Tony Batista"	0.152346
"Eric Young"	0.151992
"Brad Ausmus"	0.151937
"Damian Miller"	0.151546
"Paul Konerko"	0.150663
"Javy Lopez"	0.150329
"Jason Varitek"	0.149374
"Ivan Rodriguez"	0.148367
"Bobby Bonilla"	0.147975
"Jason Kendall"	0.14663
"Melvin Mora"	0.145632
"John Olerud"	0.144782
Karros	0.14462
"Benny Agbayani"	0.143946
"Dante Bichette"	0.142183
"Edgardo Alfonzo"	0.141986
"Scott Erickson"	0.141384
"Rich Aurilia"	0.14122
"Todd Hollandsworth"	0.139872
"Rafael Palmeiro"	0.139824
"Jim Leyritz"	0.13949
"Brian McRae"	0.139364
"Albert Belle"	0.138956
"Cal Ripken"	0.138852
"Eddie Taubensee"	0.13862
"Paul Bako"	0.137791
Rolen	0.137552
"Joe Girardi"	0.137482
"Scott Rolen"	0.13712
"Jorge Posada"	0.136634
"Sandy Alomar"	0.136338
"Rickey Henderson"	0.136062
"Mark Grudzielanek"	0.134971
"Troy Glaus"	0.134804
"Eric Davis"	0.134339
Grudzielanek	0.134189
"Adrian Beltre"	0.134062
"Henry Rodriguez"	0.133879
Lankford	0.133571
"Chris Widger"	0.133319
"Mike Sweeney"	0.132506
"Eddie Perez"	0.132309
"CARLOS HERNANDEZ"	0.130418
"Dave Hansen"	0.130392
"Frank Thomas"	0.130084
Renteria	0.129984
"Marvin Benard"	0.129662
"Johnny Damon"	0.129364
"Brook Fordyce"	0.129358
"Jay Bell"	0.129332
"Ken Caminiti"	0.128913
"Jose Hernandez"	0.128894
Agbayani	0.128747
"Nomar Garciaparra"	0.128747
"Barry Bonds"	0.128493
"Jason Giambi"	0.128334
"Edgar Martinez"	0.128291
"Kelly Stinnett"	0.127579
"Todd Pratt"	0.127205
"Chad Kreuter"	0.127199
"Jose Vizcaino"	0.126915
"Tony Eusebio"	0.126406
"Bernie Williams"	0.126291
"Brian Daubach"	0.12561
"Phil Nevin"	0.124781
Varitek	0.124391
Abreu	0.12418
"Todd Zeile"	0.124129
"Scott Brosius"	0.123576
"Mike Lieberthal"	0.122526
"Roberto Alomar"	0.122397
"Chipper Jones"	0.122329
"Jim Thome"	0.121728
"Roger Cedeno"	0.121588
"Tino Martinez"	0.121551
"Russ Johnson"	0.121423
"Bill Mueller"	0.121355
"Wilton Guerrero"	0.121303
"Carl Everett"	0.121162
"Derek Bell"	0.121108
"Vladimir Guerrero"	0.121102
"Brian Jordan"	0.120989
"Darin Erstad"	0.120623
"Angel Pena"	0.120551
"Ray Durham"	0.120516
"Derrek Lee"	0.119586
Vidro	0.119375
Lieberthal	0.119199
Cirillo	0.118211
"Carlos Lee"	0.118151
Alfonzo	0.117522
"Craig Biggio"	0.117491
"Rusty Greer"	0.117455
"Butch Huskey"	0.117293
"John Valentin"	0.117131
"Mickey Morandini"	0.117055
"Jay Buhner"	0.116885
"F.P Santangelo"	0.116822
"Moises Alou"	0.116687
"Mark McLemore"	0.116504
"Matt Walbeck"	0.116406
"Darryl Hamilton"	0.116394
"Fred McGriff"	0.116042
Glaus	0.115906
"Matt Stairs"	0.115857
"Mike Timlin"	0.115572
"Ron Coomer"	0.115342
"Todd Helton"	0.115293
"Mark Kotsay"	0.114833
"Jim Edmonds"	0.114771
"Bret Boone"	0.114629
"Eric Owens"	0.114585
"David Bell"	0.114305
"Edgar Renteria"	0.114294
"Rondell White"	0.114
"Bruce Aven"	0.113895
Surhoff	0.113795
"Dean Palmer"	0.113663
"Chuck Knoblauch"	0.113562
"Matt Lawton"	0.113454
"Matt Franco"	0.113033
"Warren Morris"	0.112942
"Omar Vizquel"	0.112842
Bordick	0.112772
"Geoff Jenkins"	0.112643
Giambi	0.112487
"Brad Fullmer"	0.112393
"Bengie Molina"	0.112144
Hundley	0.112136
Aurilia	0.112136
"Kenny Lofton"	0.112081
"Jose Offerman"	0.111984
"Richard Hidalgo"	0.111975
"Jose Guillen"	0.111701
"Andruw Jones"	0.111267
"Kevin Elster"	0.110914
"Mark Loretta"	0.110884
"Richie Sexson"	0.110733
"Garret Anderson"	0.110705
Bagwell	0.110605
"Tim Salmon"	0.110383
"Trenidad Hubbard"	0.110314
"Wally Joyner"	0.109813
Olerud	0.109707
"Mike Stanley"	0.109683
Tatis	0.109603
"Damian Jackson"	0.109495
"Luis Lopez"	0.108961
Higginson	0.108906
"Kevin Young"	0.108865
"Jeff Kent"	0.10849
"Ellis Burks"	0.108171
"Greg Myers"	0.108155
"Reggie Sanders"	0.108062
"Jeff Bagwell"	0.107589
Castilla	0.107516
Beltre	0.107491
"Ryan Klesko"	0.107428
"Jeff Cirillo"	0.107354
"Alex Gonzalez"	0.10716
Palmeiro	0.106991
"Jeromy Burnitz"	0.106967
"Deivi Cruz"	0.106815
"Joe Carter"	0.106516
"Jay Payton"	0.106497
Zeile	0.106407
"Dave Martinez"	0.106105
"Lance Berkman"	0.105708
"Ron Gant"	0.105537
"Luis Alicea"	0.105359
"Brian Hunter"	0.105125
"Bobby Abreu"	0.105083
Burnitz	0.104943
"Jose Canseco"	0.1048
Hatteberg	0.10463
"David Segui"	0.104355
"Carlos Delgado"	0.104204
"Quilvio Veras"	0.104161
"Luis Gonzalez"	0.103946
Piazza	0.103631
"Mark Grace"	0.103259
"Mike Cameron"	0.103234
"Andy Fox"	0.103178
Canseco	0.102988
"Bobby Higginson"	0.102719
"Travis Fryman"	0.102645
"Dmitri Young"	0.102182
"Greg Vaughn"	0.101936
"Gerald Williams"	0.101903
"Bill Haselman"	0.101847
Nevin	0.101565
"J.T Snow"	0.101171
"Adam Kennedy"	0.101094
"Craig Counsell"	0.100939
"Todd Walker"	0.100926
Leyritz	0.100819
Fullmer	0.100816
"Preston Wilson"	0.100743
Knoblauch	0.100624
"Brent Mayne"	0.100518
"Troy O'Leary"	0.100453
"Tom Goodwin"	0.100407
"Bubba Trammell"	0.1004
"Brian Giles"	0.100196
"Darren Lewis"	0.10009
"Eric Chavez"	0.100081
))
("Charles LaBella" (desc 1688.76) (sims
"Louise Arbour"	0.182453
"Billy Payne"	0.176628
"Robert Ray"	0.169551
"George Tenet"	0.169132
"Ronnie Flanagan"	0.168156
"Richie Phillips"	0.166017
"Joel Klein"	0.164107
"Michel Camdessus"	0.158717
"Renato Ruggiero"	0.155973
"Louis Freeh"	0.151211
"Boris Fyodorov"	0.151151
"Ray Evernham"	0.14897
"Xanana Gusmao"	0.147494
"Vladimiro Montesinos"	0.146136
"Barry McCaffrey"	0.141375
"David Boies"	0.134555
"Lino Oviedo"	0.131781
"Carol Bellamy"	0.128101
Ponte	0.125423
"Tom Welch"	0.120419
"Billy Hunter"	0.119012
"Wim Duisenberg"	0.118373
"Wolfgang Schaeuble"	0.116029
"Sadako Ogata"	0.11586
"Rolf Ekeus"	0.113805
"David Schippers"	0.111184
"La Bella"	0.10644
"Gregory Craig"	0.105929
"Mitt Romney"	0.103817
"Ramsey Clark"	0.103741
"Mary Jo White"	0.101345
"John Koskinen"	0.101044
"Bernard Kouchner"	0.0994932
"Bill Lann Lee"	0.0981263
"Jeffrey Katzenberg"	0.0978105
"Alexander Lebed"	0.0967237
LaBella	0.0960469
"Asa Hutchinson"	0.0950762
"Johnnie Cochran"	0.0941816
"Mary Robinson"	0.0941459
"John Shalikashvili"	0.0905474
"Bernie Ecclestone"	0.0901961
"Richard Butler"	0.08969
"Barry R. McCaffrey"	0.0886825
"Marc Hodler"	0.08852
"Jim Thomas"	0.0876158
"Michael Murphy"	0.08748
"Ansumane Mane"	0.086313
"Gulbuddin Hekmatyar"	0.0836682
"Jack Valenti"	0.082837
"Gro Harlem Brundtland"	0.0820871
"Abu Mazen"	0.0818085
"John Morris"	0.0801363
"Hashim Thaci"	0.0799403
"Hans Blix"	0.0790963
"William Walker"	0.0789964
"Warren Christopher"	0.0787401
"Faisal Husseini"	0.0786059
"Juan Antonio Samaranch"	0.078515
"Tony Coelho"	0.0768306
"Le Kha Phieu"	0.0764798
"Ralph Reed"	0.0755398
"Tim Johnson"	0.0754079
"Pervaiz Musharraf"	0.0753732
"Mike Murphy"	0.0745595
"Pervez Musharraf"	0.0738745
"Shaul Mofaz"	0.0724594
"Anatoly Chubais"	0.0723539
"Sepp Blatter"	0.072084
Freeh	0.0718722
"Henry Hyde"	0.0716902
"Joao Havelange"	0.0714781
"Abbe Lowell"	0.0710488
"Bruce Teitelbaum"	0.0708959
"Robert F. Kennedy Jr."	0.0708691
"Ed Bryant"	0.0706726
"Gordon Brown"	0.0704195
"Fehmi Agani"	0.0700046
"M. Douglas Ivester"	0.0698871
"David Kendall"	0.0698593
"Xie Zhenhua"	0.0694459
"Michael Eisner"	0.0688914
"Thurgood Marshall"	0.0679325
"Grigory Yavlinsky"	0.067616
"Eric Holder"	0.0666431
"Robert Bennett"	0.0665294
"Foday Sankoh"	0.0654211
Marineau	0.0649122
"Robert E. Rubin"	0.0645415
"Barry Diller"	0.0645286
Dirani	0.0644294
"Massimo D'Alema"	0.0642121
"Roy Romer"	0.0641257
"Rod Thorn"	0.0640719
"Jack Welch"	0.0640535
"Robert Johnson"	0.0639323
"Jacques Rogge"	0.0637463
Wiranto	0.0635964
"Xiong Guangkai"	0.0634773
"Mahmoud Abbas"	0.0631
Pearce	0.0628512
Meissner	0.0623678
Hodler	0.0622699
"James Barksdale"	0.0622334
"Ieng Sary"	0.0621919
"Alexander Shokhin"	0.0616704
"Mike Moore"	0.0612679
"Boutros Boutros-Ghali"	0.0608579
Verney	0.0604931
"Danny Yatom"	0.0603781
"John Kelly"	0.0600675
"Eisuke Sakakibara"	0.0595918
"Johnny Paul Koroma"	0.0595887
"Rick Neuheisel"	0.058817
"Jim Leyland"	0.058259
"Kenneth W. Starr"	0.058209
"Kurt Rambis"	0.0578071
"Noboru Takeshita"	0.0578065
"Aryeh Deri"	0.0577978
Scruggs	0.0577407
Ruggiero	0.0577236
"Mikulas Dzurinda"	0.0576447
"Klaus Naumann"	0.0574292
"Zoran Djindjic"	0.0572852
Greenwald	0.0571835
"Gennady Zyuganov"	0.0568554
"Barry Scheck"	0.0565045
Sensenbrenner	0.0564463
Arrives	0.0563578
"James Soong"	0.0562892
Nebiolo	0.055969
"Mark McKinnon"	0.0559622
"Long Yongtu"	0.0553978
"Dave Johnson"	0.0553328
"Bill McCollum"	0.0553055
cinematographer	0.0552788
"Dai Bingguo"	0.0550145
"Bora Milutinovic"	0.0546951
"Nur Misuari"	0.0545599
"Dick Morris"	0.0544177
Schlichtmann	0.0543792
"William Hague"	0.0542809
"Dave Thomas"	0.0541731
Olsen	0.0540371
"Karen Hughes"	0.0540244
"Abdurrahman Wahid"	0.0540116
"John J. Gotti"	0.0537156
"Sumner Redstone"	0.0533597
"Robert Guei"	0.0533169
Havelange	0.0528435
Kessler	0.0527847
"Ron Brown"	0.052771
"Ta Mok"	0.052709
Naumann	0.0523458
"Fayez Tarawneh"	0.0523327
"Cardinal John O'Connor"	0.0520931
"Jacques Santer"	0.052071
underling	0.0519973
"Saeb Erekat"	0.0519665
"John Weaver"	0.0518505
Birnbaum	0.0517154
"Khaleda Zia"	0.0514394
"Tom Davis"	0.0514083
"Yukio Hatoyama"	0.0512005
"Sam Mendes"	0.0510818
"computer expert"	0.0509964
Haq	0.0509816
"Robert Rubin"	0.0509749
"Carter Eskew"	0.0509037
Symington	0.0507044
"Gene Sperling"	0.0506804
Brockovich	0.0505773
"Yuri Maslyukov"	0.0504116
Platt	0.0503691
Rendell	0.0503121
"Oladipo Diya"	0.0503027
"P.V Narasimha Rao"	0.0502415
McDaniel	0.0501762
"Boris Nemtsov"	0.0500878
"Ratko Mladic"	0.0500273
"Vuk Draskovic"	0.0499194
"Dick Pound"	0.0497006
"financial officer"	0.0496616
"Khieu Samphan"	0.049559
"Julie Hiatt Steele"	0.0495428
"Nuon Chea"	0.0491044
"Jonas Savimbi"	0.0490429
Gargan	0.0489868
"Ariel Sharon"	0.0489205
Portillo	0.048379
Misuari	0.0483449
"Neil Smith"	0.048269
Gerardi	0.0479939
eb	0.0479622
"Yitzhak Molcho"	0.047912
"Chuck Daly"	0.0478572
"Charles Ruff"	0.0477441
"George Robertson"	0.0476278
"Begum Khaleda Zia"	0.0475386
"Yossi Sarid"	0.0474997
))
("Charles Lindbergh" (desc 2137.42) (sims
"Amelia Earhart"	0.144492
"Robert F. Kennedy"	0.101542
RFK	0.0918993
Lindbergh	0.0874431
Hirohito	0.0873568
"Martin Luther King"	0.0814079
"Billy Graham"	0.07574
Yat-sen	0.0755372
"Edward R. Murrow"	0.0748071
"Princess Diana"	0.0738057
"Martin Luther King Jr."	0.0736065
"Adlai Stevenson"	0.0719519
aviator	0.0700914
Kyprianou	0.0698242
"Albert Einstein"	0.0695978
"John D. Rockefeller"	0.0688795
"A.P Indy"	0.0688415
"Dwight D. Eisenhower"	0.067477
Byrdsong	0.0671564
JAT	0.0668802
"Karl Marx"	0.0666559
"Frank Sinatra"	0.0665501
"Dwight Eisenhower"	0.0664307
Rockefeller	0.0658382
"Judy Garland"	0.0654115
"John Glenn"	0.0645877
"Robert Kennedy"	0.0642097
"Elvis Presley"	0.0638286
"Muhammad Ali"	0.0633561
"Henry Ford"	0.0626384
"Theodore Roosevelt"	0.0618537
"John Kennedy"	0.0615763
"Lei Feng"	0.06115
Learjet	0.0607513
Eappens	0.0601743
B-@s	0.0600767
"Bob Hope"	0.0594663
"Franklin Delano Roosevelt"	0.0593684
"Greta Garbo"	0.0591191
"test-tube baby"	0.0584647
"Seattle Slew"	0.0580223
Costin	0.0577682
"Jackie Robinson"	0.0568953
"Queen Elizabeth"	0.056776
"George Bernard Shaw"	0.0566601
"Rosa Parks"	0.0565766
Khomeini	0.0564897
"Mother Teresa"	0.0561668
Colette	0.0557125
"Yankee Clipper"	0.0555685
sharecropper	0.0555416
Susann	0.0554807
"Ernest Hemingway"	0.05536
Nietzsche	0.0546811
"King Juan Carlos"	0.0540959
"Douglas MacArthur"	0.0535667
"Sylvia Plath"	0.0534475
"Pol Pot"	0.0532606
"James Dean"	0.0530235
Grissom	0.0529073
Perrot	0.0519339
"William Randolph Hearst"	0.0518288
octogenarian	0.0517027
Masire	0.0515423
JetBlue	0.0511904
"Mahatma Gandhi"	0.0510916
"Cole Porter"	0.0510007
"Franklin D. Roosevelt"	0.0507275
Biko	0.0506401
"Brian Jones"	0.050606
Rabin	0.049938
"Nat King Cole"	0.0498031
"Bob Marley"	0.0496223
"civil rights leader"	0.0495868
Durwood	0.0495461
Garvey	0.0495001
"Dr. Sun Yat-Sen"	0.0492786
Winchell	0.0485484
serviceman	0.0482436
Sukarno	0.0482248
Saint-Exupery	0.0479393
Youk	0.0478376
"Ulysses S. Grant"	0.0478134
"Simon Bolivar"	0.047593
"Black Sabbath"	0.0475171
Karmapa	0.047452
"Marilyn Monroe"	0.0472017
"Jacqueline Kennedy Onassis"	0.0471312
Einstein	0.0470032
"Cesar Chavez"	0.0468383
Theo	0.0468292
"Saul Bellow"	0.0466658
Fassett	0.0465872
Phills	0.0464954
"Che Guevara"	0.0464729
"John F. Kennedy Jr."	0.0463633
"James Jones"	0.0462644
Blackmun	0.0462199
Sinatra	0.0460773
Gaulle	0.0460727
Gielgud	0.0460459
"Sigmund Freud"	0.0459431
"William Hurt"	0.0458261
"Jacqueline Kennedy"	0.0456199
"Kurt Cobain"	0.0455285
"Joe DiMaggio"	0.0454035
"Air Lanka"	0.0453537
"American plane"	0.0453524
"George Wallace"	0.0453471
Borrego	0.0451149
balloonist	0.0450978
Byron	0.0449595
Plath	0.0449476
Wyeth	0.0448372
JFK	0.0446316
"Jack Dempsey"	0.0445759
"Abraham Lincoln"	0.0445194
"John F. Kennedy"	0.0443016
Concordes	0.0441886
tomcat	0.0441173
"Zhou Enlai"	0.0439658
Lennon	0.0438925
Chaplin	0.0438329
"Cessna @@@"	0.0436792
Frick	0.0433454
"Lawton Chiles"	0.0433419
Uliassi	0.0431871
Ellison	0.0431746
"De Soto"	0.0430748
"Luke Skywalker"	0.0429802
Alitalia	0.0429017
"Emily Dickinson"	0.0427283
"Pope Pius XII"	0.0425279
"Pablo Picasso"	0.0424757
Presley	0.04235
"Neil Armstrong"	0.0422962
"Woody Guthrie"	0.0422911
"Edward M. Kennedy"	0.0422333
duchess	0.0422278
"Emperor Akihito"	0.042059
"Billy Wilder"	0.0418003
Shao	0.0416074
"half sister"	0.0415277
"Walt Whitman"	0.0414921
"coal miner"	0.0414012
"David Geffen"	0.0411259
"John Henry"	0.0407437
Goodrich	0.0407174
"Sally Hemings"	0.0406134
"Howard Hughes"	0.0405592
"Queen Elizabeth II"	0.0403549
"Ho Chi Minh"	0.0402491
"gold miner"	0.0401911
Paige	0.0401896
"David Sibandze"	0.0401765
Mellencamp	0.0400645
honoree	0.040031
))
("Charles Manson" (desc 2161.68) (sims
"Angel Maturino Resendiz"	0.106032
"Gary Graham"	0.105746
"Karla Faye Tucker"	0.095783
"David Koresh"	0.0865077
"Rafael Resendez-Ramirez"	0.0826016
"Willie Horton"	0.080792
"Cary Stayner"	0.0745726
AUM	0.0736924
"Mumia Abu-Jamal"	0.072112
Dahmer	0.0696872
Koresh	0.067722
"John William King"	0.0667269
Moxley	0.0659392
"Aum Shinrikyo"	0.0635238
"Mark O. Barton"	0.0607619
"Michael Myers"	0.0604549
"Louise Woodward"	0.0599654
Jonah	0.0588572
Hajdari	0.0551079
Manson	0.0550329
Aquino	0.0547056
Deri	0.0543128
Karmapa	0.0532849
Winchell	0.0529748
Cheung	0.0528567
"Jim Jones"	0.0527467
Cosby	0.0513872
"Maria Hsia"	0.0494173
"Che Guevara"	0.0492735
Karbaschi	0.0488568
Nostradamus	0.0473499
Mendez	0.0472239
Vaughan	0.046527
Luther	0.0463689
Middleton	0.0460797
Phish	0.0457825
"Hannibal Lecter"	0.0455143
Dorismond	0.0446957
Curley	0.0445801
"JonBenet Ramsey"	0.0440056
"Branch Davidians"	0.0439912
T-cells	0.0439253
Menendez	0.0434185
O'Hair	0.0428483
Mukora	0.0423557
"Edwin Edwards"	0.0420209
Falun	0.0417209
Popeye	0.0415579
Koroma	0.0411199
Mehmet	0.0409967
Blanco	0.0405667
Brawley	0.0405024
"Iggy Pop"	0.0400654
))
("Charles Mukora" (desc 1751.09) (sims
"Agustin Arroyo"	0.26816
"David Sibandze"	0.230494
Mukora	0.161067
"Phil Coles"	0.150689
"Jean-Claude Ganga"	0.149495
"Anita DeFrantz"	0.147918
"Paul Tergat"	0.135993
"Central Province"	0.132113
"Kevan Gosper"	0.131267
"Bernard Barmasai"	0.127427
"Rift Valley Province"	0.121785
"Dick Pound"	0.119246
"Jacques Rogge"	0.114945
"Daniel Komen"	0.110098
"Tegla Loroupe"	0.109719
"Dan Meridor"	0.106015
Un-yong	0.0957082
"Frank Joklik"	0.0930593
"Moses Tanui"	0.0860507
"Hanan Ashrawi"	0.0856624
"Marc Hodler"	0.0840933
"rift valley"	0.0837133
Yadav	0.0808732
Harmoko	0.0769019
"Yossi Sarid"	0.0758891
Verney	0.0757104
"Aryeh Deri"	0.075659
"Eastern Province"	0.0743757
"Lu Yufu"	0.0730868
"Joao Havelange"	0.0730688
"Lou Dobbs"	0.0724913
"Alexander Shokhin"	0.0715897
"Kresimir Zubak"	0.0710259
Spyridon	0.070672
Kazhegeldin	0.0704815
"Tony Coelho"	0.0684936
Taubman	0.0684051
Barad	0.0680982
"Yossi Beilin"	0.066084
"Galina Starovoitova"	0.0655747
Mokhehle	0.064249
Ribbeck	0.0642481
"Electoral Commission"	0.0637216
Ganga	0.0620914
"Princess Anne"	0.0611445
"National Council of Churches"	0.0606558
Catacosinos	0.0597259
"Haim Ramon"	0.0586426
Arroyo	0.057467
Borodin	0.0573417
"Ray Evernham"	0.0569324
"Dave Cowens"	0.0567775
"John Boehner"	0.0567525
"Wei Jianxing"	0.0564405
"Bora Milutinovic"	0.0564153
Sanan	0.0563689
"Lee Hamilton"	0.0560872
"Tim Johnson"	0.0559496
Cowens	0.0559188
Ashrawi	0.0557948
Vogts	0.0555604
"Criminal Investigation Department"	0.0555581
Coia	0.0555349
"Jack Gargan"	0.0549474
"Yu Yongbo"	0.0547613
"Renato Ruggiero"	0.0546925
"Export Processing Zones"	0.0544604
"John Kim"	0.0542409
"Fatos Nano"	0.0539255
"Carlos Salinas"	0.0538899
"David Levy"	0.0538192
Smirnov	0.0537762
"Juan Antonio Samaranch"	0.0536162
Bhattarai	0.0529245
Murayama	0.0528226
"Tyler Hamilton"	0.0527513
"Terry Collins"	0.0527407
"Rick Neuheisel"	0.051615
Joklik	0.0515077
Coles	0.0510603
Mandelson	0.0508498
Gauthier	0.0508268
"Robert E. Rubin"	0.0506224
"Arthur Levitt"	0.049913
Bubb	0.0494066
DIMON	0.0488545
Coelho	0.0485758
"Michel Camdessus"	0.0485698
"Wolfgang Schaeuble"	0.0480898
Cavallo	0.0480376
"Momcilo Krajisnik"	0.0479686
"John Shalikashvili"	0.0479097
"Jim Leyland"	0.0479054
"Chuck Daly"	0.0478487
"Barry Switzer"	0.0477146
"Andreas Papandreou"	0.0475017
"Nur Misuari"	0.0474807
Penders	0.0473343
Koirala	0.0472523
Dodik	0.0468296
attorney-General	0.0468079
Pfeiffer	0.0466982
Havelange	0.0463544
"Alexis Herman"	0.0461721
"Huang Ju"	0.0458362
"M. Douglas Ivester"	0.0455037
"Norodom Ranariddh"	0.0454098
"Robert Aventajado"	0.0452461
Zacarias	0.0449448
"Robert Livingston"	0.0449428
Zhivkov	0.0445368
"Kim Jong-pil"	0.0444402
Bartholomew	0.0444378
"government minister"	0.0443803
"Alija Izetbegovic"	0.0441475
"Oskar Lafontaine"	0.0440967
"Jim Harrick"	0.043409
"Charles Taylor"	0.0433418
Ivester	0.0431396
"Bob Livingston"	0.0430715
Ehrlichman	0.0430572
R-Mo.	0.0429708
Zeroual	0.0428684
Iger	0.0428292
twenty-four	0.0428195
Krajisnik	0.0427654
Goff	0.0426544
Bucaram	0.042357
"Keith Byars"	0.0423491
Imperatori	0.0423052
D-S.C.	0.042247
Magaziner	0.042179
"Roy Romer"	0.0421742
Weizman	0.0421266
Mordechai	0.0420783
Schottenheimer	0.0420003
"Paul Kagame"	0.041948
"Boutros Boutros-Ghali"	0.0418833
"Fred Meyer"	0.0418196
Oliveira	0.0417345
R-S.C.	0.0417077
"Tom Davis"	0.0415851
"Dave Brown"	0.0415093
"Western Province"	0.0414826
R-Ga.	0.0414726
"Thurgood Marshall"	0.0413888
"Commission on Elections"	0.0413719
Dobbs	0.0413483
"Martin Frost"	0.0411488
"Carmen Policy"	0.0410686
Gosper	0.041054
Condit	0.0409978
R-Wis.	0.0409727
CEC	0.0409689
"Le Kha Phieu"	0.0409643
Venables	0.0408705
Quackenbush	0.0406309
"Faisal Husseini"	0.0406183
"Mahmoud Abbas"	0.040423
Blazevic	0.0403844
"Bill Skate"	0.0402491
"Jim Nicholson"	0.0402433
"Jacques Santer"	0.0402403
"Helmut Kohl"	0.0402381
))
("Charles Nagy" (desc 5081.52) (sims
"Jaret Wright"	0.406466
"Bartolo Colon"	0.380351
"Dave Burba"	0.365508
"Dwight Gooden"	0.325548
"Steve Parris"	0.241592
"Paul Shuey"	0.239573
"Jason Schmidt"	0.218314
"Javier Vazquez"	0.211545
"Chuck Finley"	0.209622
"Woody Williams"	0.209109
"Pat Rapp"	0.205929
"Brian Moehler"	0.205115
"Francisco Cordova"	0.201025
"Ramon Martinez"	0.195601
"Andy Ashby"	0.189584
"Jon Lieber"	0.185939
"Tim Wakefield"	0.185718
"Mark Langston"	0.185116
"Scott Erickson"	0.184381
"Tim Belcher"	0.183628
"Brett Tomko"	0.182174
"Andy Pettitte"	0.179287
"Pete Harnisch"	0.17763
"STEVE WOODARD"	0.177594
"Octavio Dotel"	0.177532
"Jack McDowell"	0.176312
"Masato Yoshii"	0.175903
"John Smoltz"	0.17516
"Russ Ortiz"	0.174867
"Bret Saberhagen"	0.173842
"Pat Hentgen"	0.173343
"Jim Thome"	0.173174
"Orlando Hernandez"	0.172797
"Sean Bergman"	0.171514
"Rick Reed"	0.169017
"Shane Reynolds"	0.168145
"Sterling Hitchcock"	0.16786
"Chris Carpenter"	0.166173
"Gil Heredia"	0.166169
"Rick Helling"	0.166072
"Omar Olivares"	0.165782
"Armando Reynoso"	0.165571
"Brad Radke"	0.165068
"Kent Bottenfield"	0.164901
"Mark Gardner"	0.164666
"David Cone"	0.164394
"Travis Fryman"	0.16333
"Kevin Tapani"	0.163147
"Chris Holt"	0.16085
"John Wasdin"	0.160231
"Mark Portugal"	0.159343
"Jason Dickson"	0.158812
"Orel Hershiser"	0.158342
"Joey Hamilton"	0.158245
"John Burkett"	0.157667
"Eric Milton"	0.157484
"Esteban Loaiza"	0.157292
"Kevin Appier"	0.15701
"Paul Abbott"	0.156446
"Pedro Astacio"	0.156323
"Dave Mlicki"	0.155649
"Aaron Sele"	0.155563
"Steve Trachsel"	0.154558
"BRIAN MEADOWS"	0.152682
"Darren Dreifort"	0.15211
"Ryan Dempster"	0.152103
"Mark Clark"	0.152027
"Kevin Millwood"	0.15196
"Jose Lima"	0.151936
"Andy Benes"	0.151301
"Greg Maddux"	0.149562
"Ken Cloude"	0.149554
"Pete Schourek"	0.14864
"Freddy Garcia"	0.148258
"Mike Morgan"	0.147768
"Mark Petkovsek"	0.146983
"Mike Mussina"	0.146784
"Mac Suzuki"	0.146043
"Mike Sirotka"	0.145955
"Bryce Florie"	0.145863
"Rolando Arrojo"	0.144637
"Tom Glavine"	0.144603
"Dustin Hermanson"	0.144379
"Paul Byrd"	0.144371
"Brian Rose"	0.144305
"Jeff Weaver"	0.141939
"Jamey Wright"	0.141758
"Jason Bere"	0.141496
"Hideki Irabu"	0.141177
"Darryl Kile"	0.140375
"Todd Stottlemyre"	0.140111
"Ramiro Mendoza"	0.13956
"Scott Elarton"	0.138791
"Ken Hill"	0.138749
"Omar Daal"	0.138631
"Kent Mercker"	0.138139
"Russ Springer"	0.137892
"Curt Schilling"	0.137441
"Pat Mahomes"	0.137112
"Kenny Lofton"	0.136827
"Gil Meche"	0.136351
"Chan Ho Park"	0.136208
"John Snyder"	0.134881
"Ryan Glynn"	0.134825
"Tom Candiotti"	0.134792
"Richie Sexson"	0.13476
"John Halama"	0.134738
"Kirk Rueter"	0.134446
"Roger Clemens"	0.134439
"Willie Blair"	0.133878
"Roberto Alomar"	0.13382
"Matt Morris"	0.133753
"Shigetoshi Hasegawa"	0.133365
"Carl Pavano"	0.132234
"Scott Karl"	0.131653
"Juan Guzman"	0.130108
"Mike Hampton"	0.129216
"Shawn Estes"	0.129124
"Steve Sparks"	0.129022
"Alex Fernandez"	0.1289
"Manny Ramirez"	0.128671
"Brian Anderson"	0.127548
"Terry Mulholland"	0.127462
"Rod Beck"	0.125682
"Jim Parque"	0.125141
"Jesus Sanchez"	0.125033
"Ramon Ortiz"	0.124858
"Billy Wagner"	0.124515
"Jeff Fassero"	0.124297
"Ron Villone"	0.124167
"Tim Crabtree"	0.123659
Maddux	0.123652
"Mariano Rivera"	0.122823
"Darren Oliver"	0.12273
"Jeff Shaw"	0.122369
"Danny Graves"	0.122276
"Bill Pulsipher"	0.121083
"Jamie Moyer"	0.120814
"Jin Ho Cho"	0.12053
"Eric Gagne"	0.119524
"Terry Adams"	0.11932
"Byung-Hyun Kim"	0.117891
"Dennis Cook"	0.117755
"Sandy Alomar"	0.117698
Nagy	0.117483
"Tim Hudson"	0.116872
"Dan Miceli"	0.116736
"Al Levine"	0.116615
"Jamie Arnold"	0.116546
"Pedro Martinez"	0.11572
"Scott Schoeneweis"	0.115428
"Armando Benitez"	0.115046
"Brett Hinchliffe"	0.114878
"Mike Judd"	0.114739
"Matt Herges"	0.114356
"Jose Mesa"	0.113423
"Livan Hernandez"	0.112281
"Al Leiter"	0.111817
"Kevin Brown"	0.11165
Harnisch	0.110576
"Ismael Valdes"	0.110326
"Scott Sullivan"	0.110188
"Jeff Zimmerman"	0.10988
"Gregg Olson"	0.109519
"Sidney Ponson"	0.109507
"Omar Vizquel"	0.108132
"Jason Grimsley"	0.10737
"Robinson Checo"	0.106605
"Justin Thompson"	0.106543
"Doug Henry"	0.106204
"Wilson Alvarez"	0.105715
"Kerry Wood"	0.105605
"Robb Nen"	0.105453
Glavine	0.104632
"Brian Cooper"	0.103923
"Brian Bohanon"	0.103897
"Denny Neagle"	0.103701
Rueter	0.103691
"Antonio Osuna"	0.103411
Burba	0.10292
Rusch	0.102753
"DOUG JONES"	0.102655
"Mark Wohlers"	0.102507
"Troy Percival"	0.102477
"Jose Jimenez"	0.101311
Mussina	0.100991
"Steve Avery"	0.10098
"James Baldwin"	0.100848
"Jason Isringhausen"	0.100664
Heredia	0.100556
"Hideo Nomo"	0.100507
"Mike Jackson"	0.0983694
"David Wells"	0.0979358
"Bobby Jones"	0.0978446
"Carlos Perez"	0.097298
"Scott Williamson"	0.0971358
"John Wetteland"	0.0969937
"Jarrod Washburn"	0.0968967
"Frankie Rodriguez"	0.0961337
"Mike Magnante"	0.09592
))
("Charles Oakley" (desc 6500.79) (sims
"Antonio Davis"	0.22595
"Chris Mills"	0.179423
"Terry Cummings"	0.157372
"Kevin Willis"	0.15693
"Tracy McGrady"	0.142299
"Tom Gugliotta"	0.139107
"Marcus Camby"	0.137004
"Dale Davis"	0.135577
"P.J Brown"	0.135436
"Brian Grant"	0.135128
"Corliss Williamson"	0.131683
"Jamal Mashburn"	0.128884
"Theo Ratliff"	0.128394
"Herb Williams"	0.127516
"Kurt Thomas"	0.125182
"Maurice Taylor"	0.123279
"Jalen Rose"	0.120451
"Grant Long"	0.120245
"Vince Carter"	0.119741
"John Starks"	0.117251
"Alan Henderson"	0.117146
"J.R Reid"	0.112677
"Kenyon Martin"	0.112111
"Cedric Ceballos"	0.110889
"Danny Fortson"	0.109491
"Elden Campbell"	0.108747
"Lamond Murray"	0.108312
"Derrick Coleman"	0.106359
Oakley	0.105872
"Gary Trent"	0.104767
"Anthony Mason"	0.104685
"Vlade Divac"	0.104287
"Charles Barkley"	0.104156
"Chris Porter"	0.101488
"Chris Childs"	0.10129
"Steve Smith"	0.0992614
"Latrell Sprewell"	0.0982699
"Theo Fleury"	0.0981711
"Robert Horry"	0.0979699
"Charlie Ward"	0.0967498
"Otis Thorpe"	0.0957158
"Shawn Kemp"	0.0952353
"Larry Johnson"	0.0946286
"Donyell Marshall"	0.0946206
Gugliotta	0.093845
"Glen Rice"	0.0936563
"Jayson Williams"	0.0915086
"Chris Gatling"	0.0907815
"Patrick Ewing"	0.0906521
"Chris Mullin"	0.0905745
"Antawn Jamison"	0.0900276
"Othella Harrington"	0.0900225
"Vin Baker"	0.0892895
"Austin Croshere"	0.0889203
"Mark Bryant"	0.0884807
"Dan Majerle"	0.0881514
"Antonio McDyess"	0.0881389
"Jarvis Turner"	0.0878339
"Travis Knight"	0.0877663
"Juwan Howard"	0.087672
"Clifford Robinson"	0.0875558
"Scottie Pippen"	0.0871452
"Jaren Jackson"	0.0870146
"Rodney Rogers"	0.0866015
"Keith Van Horn"	0.0865201
"A.C. Green"	0.0860255
"Brian Skinner"	0.0853636
McDyess	0.0853221
"Ron Artest"	0.0846557
"Karl Malone"	0.0840948
"Kendall Gill"	0.0833441
"John Wallace"	0.0832184
"Sean Elliott"	0.0827426
"Joe Smith"	0.0826351
"Steve Kerr"	0.0825441
"Jerome Kersey"	0.0822476
"Tim Thomas"	0.0819564
"Eddie Jones"	0.0814275
"Doug Gilmour"	0.0797489
"Chris Webber"	0.0794295
"Grant Hill"	0.079263
"Michael Finley"	0.0792166
"Felix Potvin"	0.079208
"Rick Tocchet"	0.0788409
Blaylock	0.0776719
"Michael Wright"	0.0775075
"Tyrone Nesby"	0.0773823
"Christian Laettner"	0.0770562
"Robert Traylor"	0.0767946
"Dennis Rodman"	0.0767148
"Derek Anderson"	0.0758927
"Larry Hughes"	0.075832
"Joe Juneau"	0.075615
"Samaki Walker"	0.0756026
"Mario Elie"	0.0755022
"Hakeem Olajuwon"	0.0753483
"Chris Dudley"	0.0752645
"Horace Grant"	0.0750467
"Travis Best"	0.0750294
"Lorenzen Wright"	0.0743072
"LaPhonso Ellis"	0.0742954
"David Robinson"	0.073738
"Raef LaFrentz"	0.073606
"Bryan Berard"	0.0735934
"Mark Madsen"	0.0734684
"Mark Messier"	0.0733865
"Hu Weidong"	0.0731235
"Gabe Muoneke"	0.0730869
"Chris Crawford"	0.0730367
"Mike Miller"	0.0727924
"Tamika Catchings"	0.0727921
"Kevin Freeman"	0.0726907
"Dale Hunter"	0.072486
"Pavel Bure"	0.0724635
"Mitch Richmond"	0.0712705
"Etan Thomas"	0.0709929
"Tim Duncan"	0.0707598
"Toni Kukoc"	0.0707555
"Ian Wright"	0.0705769
"Alen Boksic"	0.0705252
"Danny Manning"	0.070199
"Jumaine Jones"	0.0700903
"Todd Harvey"	0.0699008
"Luc Longley"	0.0697879
"Marcus Fizer"	0.0697064
"Sam Clancy"	0.0695326
"Ron Mercer"	0.0694352
Pippen	0.0692757
"Shandon Anderson"	0.0692069
"Rick Fox"	0.0688434
"Rashard Lewis"	0.0685445
Duchesne	0.0685241
"Matt Harpring"	0.0679588
"Roger Clemens"	0.0679295
"Allan Houston"	0.0676665
"Jerome Moiso"	0.0675221
Mashburn	0.0672089
"Sean Rooks"	0.0670457
"Clarence Weatherspoon"	0.0667144
"Pat Garrity"	0.0665907
"Mike Piazza"	0.0664614
"Dennis Scott"	0.0659806
"B.J Armstrong"	0.0657982
"Matthew Barnaby"	0.0656129
"Kenny Thomas"	0.0653682
"Raul Diaz Arce"	0.0653091
"Eric Murdock"	0.0652906
"Greg Adams"	0.0651937
"Jim Jackson"	0.0650969
"SCOTT BURRELL"	0.0649357
"Kevin Garnett"	0.0647617
Fortson	0.0647193
"Eric Wynalda"	0.0647055
"Bill Guerin"	0.0644133
"Dikembe Mutombo"	0.0643664
"Bruce Bowen"	0.0642102
"Rasheed Wallace"	0.0641932
"Alexei Kovalev"	0.0641085
"Detlef Schrempf"	0.0639301
"Paul Pierce"	0.0637319
"Matt Geiger"	0.063689
"Antoine Walker"	0.063585
"Pat Verbeek"	0.0635667
"Elton Brand"	0.0634353
"Cliff Ronning"	0.0632541
"Hao Haidong"	0.0628424
Segui	0.0627479
"Shaquille O'Neal"	0.0625913
"Shareef Abdur-Rahim"	0.0621241
Daigle	0.0619308
Potvin	0.0618854
"Sean Farnham"	0.0618123
"Gheorghe Hagi"	0.0613576
"ZIGMUND PALFFY"	0.0613519
"Greg Vaughn"	0.0612892
"Isaiah Rider"	0.0612029
"Jamie Feick"	0.0611443
"Rik Smits"	0.061114
"Derek Harper"	0.0609918
"Mo Vaughn"	0.060902
"Reggie Miller"	0.0608972
"Ray Allen"	0.0608443
"Juergen Klinsmann"	0.0606992
"Tim Hardaway"	0.0606407
"Tony Massenburg"	0.0605828
"Penny Hardaway"	0.0605069
Kukoc	0.0604438
"Hristo Stoichkov"	0.0603414
"Lou Dobbs"	0.0602675
"Dale Ellis"	0.060155
"Ken Griffey Jr."	0.0600608
"Mark Jackson"	0.0597323
"Walt Williams"	0.0596517
"Lee Nailon"	0.0596301
"Wendel Clark"	0.0595303
Tkachuk	0.0594551
Nowitzki	0.0591761
MARBURY	0.0591446
"Keith Tkachuk"	0.0590769
"Brian Scalabrine"	0.0589553
))
("Charles Rangel" (desc 4961.87) (sims
"Jerrold Nadler"	0.365602
"Carolyn Maloney"	0.349365
"Nita Lowey"	0.315546
"Jose Serrano"	0.314171
"Carolyn McCarthy"	0.293831
"Charles E. Schumer"	0.249308
"Charles Schumer"	0.237901
"John Conyers"	0.226458
"David Dreier"	0.206512
"Norm Dicks"	0.206071
"Daniel Patrick Moynihan"	0.196107
"Barney Frank"	0.193538
"Maxine Waters"	0.18846
"John Dingell"	0.181797
"John Conyers Jr."	0.175632
"Jim Kolbe"	0.169107
"Sheila Jackson Lee"	0.163315
"Zoe Lofgren"	0.161546
"David Bonior"	0.160543
"Nancy Pelosi"	0.158043
"John Lewis"	0.155323
"Henry Waxman"	0.155286
"Christopher Cox"	0.155236
"Christopher Shays"	0.153455
D-N.Y.	0.151017
"Frank Lautenberg"	0.148191
"Peter King"	0.147018
"Tom Campbell"	0.142417
"Charles Canady"	0.140571
"Martin Meehan"	0.140468
"J.C. Watts"	0.137167
"George Miller"	0.136944
"Lamar Smith"	0.136852
"Lee Hamilton"	0.136358
"Robert Menendez"	0.132171
"Eliot Spitzer"	0.132152
"Dan Miller"	0.131411
"Curt Weldon"	0.130325
"John Sweeney"	0.129725
"Jack Quinn"	0.129685
"Sherwood Boehlert"	0.129623
"Benjamin Gilman"	0.128975
"Roy Barnes"	0.127309
"Rick Lazio"	0.127051
"Geraldine Ferraro"	0.126626
"Martin Frost"	0.126466
"Mark Foley"	0.126289
"Charles Stenholm"	0.125454
"Steve Largent"	0.125444
"Lloyd Doggett"	0.12461
"Henry Bonilla"	0.124148
"Porter Goss"	0.122547
"Carl Levin"	0.121851
"Richard Gephardt"	0.119829
"Sue Kelly"	0.119821
"Susan Molinari"	0.11972
"Jim Bunning"	0.119611
"Tom Coburn"	0.119117
"Bob Kerrey"	0.119042
"Mario Cuomo"	0.118655
"Lindsey Graham"	0.116824
"Robert Byrd"	0.116641
Rangel	0.116124
"Edward M. Kennedy"	0.115945
"Bernard Sanders"	0.115927
"Christopher Smith"	0.114916
"Patrick Kennedy"	0.114823
"Ed Bryant"	0.114628
"Chuck Schumer"	0.113125
"Mark Green"	0.112686
"Bob Barr"	0.112246
"Bill Archer"	0.111528
"Asa Hutchinson"	0.10996
"Ron Wyden"	0.109889
"John Boehner"	0.109838
"Robert Torricelli"	0.109682
"John Breaux"	0.107763
"Bill McCollum"	0.107171
"Loretta Sanchez"	0.106166
"Michael Forbes"	0.10588
"Jim Leach"	0.10558
"Tony Coelho"	0.105567
"Jim Turner"	0.104991
"John Linder"	0.104953
"Billy Tauzin"	0.104884
"Patrick Leahy"	0.103907
"Jennifer Dunn"	0.10376
"Joseph Biden"	0.102816
"Barbara Boxer"	0.102591
"James Rogan"	0.102483
"Chris Smith"	0.101968
"Max Baucus"	0.101377
"Richard Bryan"	0.100551
"Jim Hodges"	0.1003
"Matt Salmon"	0.100135
"Tom Daschle"	0.1
"George Nethercutt"	0.0997188
"Dan Burton"	0.0994506
"James Sensenbrenner"	0.0993305
"Mary Bono"	0.0991541
"Don Young"	0.0988376
"Tom Harkin"	0.0984046
"Dianne Feinstein"	0.0970645
"Ron Paul"	0.0963385
"Charlie Norwood"	0.0943761
"Robert C. Byrd"	0.0937676
"Peter Vallone"	0.0935813
"Bob Graham"	0.0925009
"Bob Franks"	0.0920511
"George Gekas"	0.0919883
"Greg Ganske"	0.0912887
"Edward Kennedy"	0.0910949
"Alfonse D'Amato"	0.0901388
Comptroller	0.0900951
"Bill Thomas"	0.0873746
"Sheldon Silver"	0.0873461
"Robert Livingston"	0.0872283
Councilman	0.086814
"Jeanne Shaheen"	0.0863606
"Nancy Johnson"	0.0860609
"New York Democrat"	0.0855893
Markey	0.0854833
"Dick Gephardt"	0.0839317
"Al Sharpton"	0.083759
"Byron Dorgan"	0.0833621
"Tom Hayden"	0.0832348
"Russell Feingold"	0.0829973
"George E. Pataki"	0.0823001
"Paul Wellstone"	0.0810807
"Ted Kennedy"	0.0808649
"Charlene Barshefsky"	0.078387
"Amo Houghton"	0.0775452
"Patty Murray"	0.0774809
"John Kerry"	0.0769523
"Steve Chabot"	0.0768227
"Faisal Husseini"	0.0763117
"Zell Miller"	0.076042
"Joseph Lieberman"	0.0759178
"Mel Carnahan"	0.0758008
Schumer	0.075361
"Christopher Dodd"	0.0750029
"Richard Blumenthal"	0.0736048
"Gary Locke"	0.0734976
"Connie Morella"	0.0730567
"Sonny Bono"	0.072447
"John Kasich"	0.0722687
"Bill Richardson"	0.0720735
Biden	0.0719927
"Gray Davis"	0.0719331
Gephardt	0.0708547
Moynihan	0.070695
"Bob Bullock"	0.0706647
Jayakumar	0.0700266
"Jim Hunt"	0.0696289
"Ann Richards"	0.0686763
"John Edwards"	0.0686136
"Tillie Fowler"	0.0685733
"Dick Armey"	0.0685486
Malu	0.0683116
"Yuri Luzhkov"	0.0681786
"Tom Vilsack"	0.0681094
"Harry Reid"	0.0677866
"House Majority Whip Tom DeLay"	0.0677572
"John Cornyn"	0.0671723
"Jim McDermott"	0.066954
Leahy	0.066938
Baird	0.0669034
"Congressional Black Caucus"	0.0668078
"Russ Feingold"	0.0667559
Pelosi	0.0667099
D-Vt.	0.0665994
"Dan Morales"	0.0664604
"Ernest Hollings"	0.0662135
"Bob Livingston"	0.0657903
"George Pataki"	0.0654909
"Dan Glickman"	0.0651616
Azizah	0.0650623
"Jack Kingston"	0.0648983
"Robert Bennett"	0.0648088
"Jack Kemp"	0.0647848
"Marge Roukema"	0.0647133
"Goran Persson"	0.0644321
"Jesse Jackson"	0.0643767
Rendell	0.064231
"Herb Kohl"	0.0642211
"Mark Sanford"	0.0642164
"Richard Durbin"	0.0640733
"Fred Upton"	0.0640111
Ikimi	0.0638111
"Terry McAuliffe"	0.0636674
Tarawneh	0.0632249
"Frederick Sumaye"	0.0629947
"Rick Santorum"	0.0625819
"de Charette"	0.0625204
"Pedro Rossello"	0.0623497
"Linda Smith"	0.0619285
"Adam Smith"	0.061734
Daschle	0.0615704
"Paul Patton"	0.0613296
"Ricardo Alarcon"	0.0613118
))
("Charles Robb" (desc 2057.16) (sims
"Richard Durbin"	0.196967
"Dick Durbin"	0.195247
"John Kerry"	0.188115
"Ron Wyden"	0.187031
"Kent Conrad"	0.167188
"Joseph Biden"	0.165934
"Russell Feingold"	0.16518
"John Warner"	0.164219
"Tom Davis"	0.159348
"Robert Torricelli"	0.155678
"Barbara Boxer"	0.154367
"Richard Bryan"	0.150799
"Bob Graham"	0.150021
"Dianne Feinstein"	0.149979
"Byron Dorgan"	0.149518
"Patrick Leahy"	0.149045
"Max Cleland"	0.1478
"Carl Levin"	0.146852
"Paul Wellstone"	0.144094
"Frank Lautenberg"	0.142655
"Harry Reid"	0.139904
"Kay Bailey Hutchison"	0.139186
"Daniel Patrick Moynihan"	0.135403
"Kit Bond"	0.134761
"Mary Landrieu"	0.133433
"Max Baucus"	0.127849
"Russ Feingold"	0.127628
"Evan Bayh"	0.126933
"James Jeffords"	0.126193
"Ernest Hollings"	0.125032
"John Edwards"	0.122958
"Robert C. Byrd"	0.120958
"Arlen Specter"	0.119464
"Bob Kerrey"	0.119409
"Tom Harkin"	0.117813
"John Breaux"	0.117606
"Sam Nunn"	0.116601
"Tim Johnson"	0.115984
"Richard Shelby"	0.114897
"Joseph Lieberman"	0.11185
"Peter Fitzgerald"	0.111475
"Lauch Faircloth"	0.110145
"Patty Murray"	0.109217
"Olympia J. Snowe"	0.108152
"Gordon Smith"	0.107455
"Jim Gilmore"	0.107165
"Connie Mack"	0.105801
"Susan Collins"	0.105576
"Joe Lieberman"	0.104462
"Barbara Mikulski"	0.104002
"Mike DeWine"	0.103583
"Charles E. Schumer"	0.103113
"Bill Frist"	0.0997759
"Paul Patton"	0.098967
"Blanche Lincoln"	0.0984182
"Tim Hutchinson"	0.0983477
"Pete Domenici"	0.0981857
"Sam Brownback"	0.0981409
"Ben Nighthorse Campbell"	0.0980994
"James Inhofe"	0.0980234
"Chuck Hagel"	0.0977419
"Spencer Abraham"	0.0977244
"Jon Kyl"	0.0974134
"George Gekas"	0.0969874
"Paul Coverdell"	0.0969196
"Martin Frost"	0.0964242
"Robert Byrd"	0.0961684
"Edward Kennedy"	0.0945352
"Christopher Dodd"	0.0944625
"Joseph I. Lieberman"	0.0944367
D-Del.	0.0944273
"Pat Roberts"	0.0938047
"Wayne Allard"	0.0935728
D-Fla.	0.0918763
"Alfonse D'Amato"	0.0914462
"Olympia Snowe"	0.0906604
"Dan Coats"	0.0906176
"Slade Gorton"	0.0904845
"Herb Kohl"	0.09025
"John Ashcroft"	0.0899652
"Edward M. Kennedy"	0.0877836
"Frank Murkowski"	0.0873145
"John Chafee"	0.0864326
"Charles Schumer"	0.0862904
"Fred Thompson"	0.0862695
"Thad Cochran"	0.0861659
"Craig Thomas"	0.0855304
"Jeff Sessions"	0.0848618
"Richard Gephardt"	0.0848009
"Ted Kennedy"	0.0843135
"Mitch McConnell"	0.0838894
"Rod Grams"	0.0838473
"Charles Stenholm"	0.0820772
"Phil Gramm"	0.0817228
"Tom Hayden"	0.0804476
"Richard Lugar"	0.0802966
"Rick Santorum"	0.0801951
"Gary Hart"	0.0795287
"Larry Craig"	0.0789889
"Charles Grassley"	0.0789198
"Mel Carnahan"	0.0784958
D-Neb	0.0783011
"Sheila Jackson Lee"	0.0779584
"Jim Bunning"	0.0778535
"Conrad Burns"	0.0776923
R-Ariz.	0.0772406
"Jim Jeffords"	0.0771379
"Don Nickles"	0.0758626
"Strom Thurmond"	0.0755465
"Lawton Chiles"	0.0749171
"Lincoln Chafee"	0.0745496
"Mark Sanford"	0.0745487
"Zell Miller"	0.0734299
"Judd Gregg"	0.0718888
"Howard Baker"	0.0709761
"Jesse Helms"	0.0703176
"George Miller"	0.0702564
"Jim Hodges"	0.0701767
D-Vt.	0.0696114
"John Dingell"	0.0693371
"Dale Bumpers"	0.0692941
Bayh	0.0690989
"Ted Stevens"	0.0690634
D-Mass.	0.0686973
"Robert Bennett"	0.0675041
"Eastern District"	0.0672925
"George Mitchell"	0.0672467
"Bob Smith"	0.0670171
"Paul Tsongas"	0.0659573
"Lee Hamilton"	0.0658998
"Tom Vilsack"	0.0658811
"Nita Lowey"	0.0651
"George Voinovich"	0.0646886
"Jim Hunt"	0.0646403
"Don Siegelman"	0.0639014
"Connie Morella"	0.0638632
"David Bonior"	0.0637196
"Adlai Stevenson"	0.062642
"Gloria Steinem"	0.0626066
"Lloyd Doggett"	0.0613813
"Dick Gephardt"	0.0612709
"Bill Thomas"	0.0609325
"John Conyers"	0.0603785
"William Roth"	0.060358
"Buddy MacKay"	0.0601134
"Jim Kolbe"	0.0599605
"Charlie Norwood"	0.0595611
"Tom Daschle"	0.0593763
"Fob James"	0.0591618
"Dennis Vacco"	0.0586552
"Carolyn Maloney"	0.058233
"David Dreier"	0.0575307
"Orrin Hatch"	0.0572601
D-W.Va.	0.0571806
"Gray Davis"	0.0571734
"Nancy Pelosi"	0.0568344
Pelosi	0.0563296
"Patrick Kennedy"	0.0563027
"Robert Smith"	0.0562001
"David Beasley"	0.0555215
D-N.D.	0.0547397
"Norm Dicks"	0.0542505
R-Va.	0.0538001
"George McGovern"	0.0537154
"Ann Richards"	0.0536947
"Charles Rangel"	0.0532612
"Christopher Shays"	0.0532142
"John D. Rockefeller"	0.0531231
"Amo Houghton"	0.0527968
Traficant	0.0524665
"Jennifer Dunn"	0.05235
"Bob Bullock"	0.0522843
"Mike Foster"	0.0521784
"Henry Bonilla"	0.052145
"Chuck Schumer"	0.0520967
Wyden	0.0518013
"Charles Canady"	0.0517882
"Tom Campbell"	0.0516431
"John Glenn"	0.0515164
assemblyman	0.0512043
D-Mo.	0.0510813
"Trent Lott"	0.050909
"Jeanne Shaheen"	0.0508526
Robb	0.0506387
"James Rogan"	0.050195
D-Conn.	0.050163
"Lloyd Bentsen"	0.0500451
"Eric Holder"	0.0498478
"Barney Frank"	0.0497402
"Roy Barnes"	0.0484096
"John Rowland"	0.0483691
Dodd	0.0480574
"John Lewis"	0.0479488
"Bernard Sanders"	0.0478361
"John Danforth"	0.0477343
"James Sensenbrenner"	0.0476916
"Jim McDermott"	0.0473624
Moynihan	0.0471461
"John Linder"	0.0470879
"Mario Cuomo"	0.0470722
))
("Charles Ruff" (desc 2209.93) (sims
"Gregory Craig"	0.400906
"Abbe Lowell"	0.340613
"David Kendall"	0.330253
"Kenneth W. Starr"	0.263414
"David Boies"	0.249976
"David Schippers"	0.233906
"Robert Ray"	0.232997
"Bruce Lindsey"	0.223767
"Robert Bennett"	0.210482
"Vincent Foster"	0.201733
"William Neukom"	0.186913
"John Danforth"	0.155531
Ruff	0.153742
"Jack Quinn"	0.148058
"Jim Thomas"	0.147802
"Kenneth Starr"	0.129141
"Ramsey Clark"	0.114841
"Mickey Kantor"	0.107881
"Thurgood Marshall"	0.10294
"Johnnie Cochran"	0.100211
"Mary Jo White"	0.0917156
"Louis Freeh"	0.0884241
Schippers	0.0879264
Seligman	0.0867638
"Barry Scheck"	0.0847299
confidant	0.0833138
Kendall	0.0820344
Lindsey	0.0782387
"Dale Bumpers"	0.0777128
"Vernon Jordan"	0.0740672
"John Podesta"	0.0717006
"Billy Martin"	0.0710143
"Ken Starr"	0.0706976
Fieger	0.0662198
"Yitzhak Molcho"	0.0659953
"Eric Holder"	0.0658422
warden	0.0645002
"John Kelly"	0.0640279
"Elyakim Rubinstein"	0.0634481
"Paul Begala"	0.0617379
"Erskine Bowles"	0.0613019
Craig	0.0611086
Eubanks	0.0592275
Schmalensee	0.0591638
Wolfson	0.0584866
Ratner	0.0569905
"Sidney Blumenthal"	0.0567484
"Richie Phillips"	0.0564948
Kessler	0.056367
O'Neil	0.055264
Caddell	0.0545414
Hess	0.0539676
Allchin	0.0537677
McWilliams	0.0535204
DERSHOWITZ	0.0525945
"John Cornyn"	0.0517584
Barros	0.0513122
"Michael Kennedy"	0.0512194
Maritz	0.0508936
"Warren Christopher"	0.0507856
Barrionuevo	0.0503048
Hynes	0.0501171
Brockovich	0.0499311
"Congressional Republicans"	0.0493838
"James P. Hoffa"	0.0493119
Milloy	0.0492553
"Gene Sperling"	0.0489903
"Mike McCurry"	0.0486331
"Defense Fund"	0.0482975
"chief administrative officer"	0.0480178
"Charles LaBella"	0.0477441
DeFrantz	0.0474125
Trippi	0.0470078
Scruggs	0.0468822
co-counsel	0.0467155
Waxman	0.0465862
Carollo	0.0463996
Kenneth	0.0463594
Myhrvold	0.0463566
"John Morris"	0.0463177
"Richard Gephardt"	0.0462115
Rogan	0.0459318
"De Soto"	0.0457864
Rodionov	0.0456373
Zarb	0.0456074
"Marc Hodler"	0.0454804
Gump	0.0454292
"defense lawyers"	0.0453773
"public defender"	0.0452586
"Rodney Slater"	0.0451287
Finkel	0.0447658
"Monica S. Lewinsky"	0.0444764
Gorton	0.0440994
litigant	0.0437467
paralegal	0.0435748
Silas	0.043514
Azizah	0.0434817
"George Stephanopoulos"	0.0434392
Farber	0.0433598
Harris-Lewis	0.0431474
Barrett	0.0429605
Hagen	0.0429548
Felten	0.0427242
"solicitor general"	0.0423633
"Congressional Democrats"	0.0422538
Banzer	0.0421559
Espinoza	0.0421059
"Henry Hyde"	0.0418466
Garcetti	0.0415537
Lansky	0.0414997
"B.J Armstrong"	0.0411479
Ickes	0.0407688
Hutchinson	0.0407067
Komura	0.0406387
Nolan	0.04063
"Martin Lee"	0.0406242
Napolitano	0.0405417
Capano	0.0402234
Ben-Ami	0.0401995
))
("CHARLES SCHULZ" (desc 2344.19) (sims
"Matt Groening"	0.198055
"Stan Lee"	0.147947
Schulz	0.139176
"Linus Torvalds"	0.136363
"Kevin Williamson"	0.130942
"Aaron Sorkin"	0.129858
"Chris Carter"	0.110959
"Trey Parker"	0.109356
"David E. Kelley"	0.104181
"John Wells"	0.0979462
"Norman Lear"	0.0978146
"Steven Bochco"	0.0911163
"comic strip"	0.0897576
"Jim Henson"	0.0767111
"Lei Feng"	0.0726884
Kurosawa	0.0649998
"Frederick Law Olmsted"	0.0636921
"George Lucas"	0.0634358
Abner	0.0606865
Tintin	0.0599788
"Doak Walker"	0.0586727
"Yankee Clipper"	0.0569145
Kelley	0.0558614
"Lawton Chiles"	0.0547067
Perrot	0.0542901
"Barry Goldwater"	0.054139
"Jerry Brown"	0.0531562
"Walter Payton"	0.0526999
"Ayatollah Khomeini"	0.0504705
"Mark Tuinei"	0.0503209
Blondie	0.0498036
Blackman	0.0493353
Gathers	0.0472806
"Brian Jones"	0.0471584
"Charlie Brown"	0.046082
"Bob Bullock"	0.0458348
"Zhou Enlai"	0.0457833
Dilbert	0.0457392
"King Hassan II"	0.045567
"Dez White"	0.0454212
"Frank Lautenberg"	0.0449265
Popeye	0.0448975
"Robert Shaw"	0.044137
CitySearch	0.0438655
Hirschfeld	0.043729
"Kenyan Government"	0.0436364
"hue and cry"	0.0435909
Henson	0.0435666
"Florence Griffith Joyner"	0.0434123
"Bill Walsh"	0.0433782
Blackmun	0.0429248
"Bank of Israel"	0.0428718
"Cardinal John O'Connor"	0.0425042
"Leon Hess"	0.0419629
Shoate	0.0418664
"Gene Autry"	0.0415121
"Bob Fosse"	0.0414708
"Griffith Joyner"	0.0413296
Lucy	0.0412686
"Alberto Tomba"	0.04096
"Monetary Policy Committee"	0.0407788
"Isabel Allende"	0.0406749
))
("Charles Schumer" (desc 11994.3) (sims
"Charles E. Schumer"	0.352689
"Charles Rangel"	0.237901
"Daniel Patrick Moynihan"	0.234647
"Dianne Feinstein"	0.213347
"Nita Lowey"	0.211135
"Carolyn Maloney"	0.209716
"Carolyn McCarthy"	0.203683
"Jerrold Nadler"	0.200105
"Jose Serrano"	0.197343
"Rick Lazio"	0.194126
"Bob Graham"	0.18146
Schumer	0.169713
"John Conyers"	0.165103
"Frank Lautenberg"	0.164386
"Geraldine Ferraro"	0.161403
"Robert Torricelli"	0.157864
"Barbara Boxer"	0.157121
"Tom Harkin"	0.156739
"Paul Wellstone"	0.155568
"Chuck Schumer"	0.154079
"John Breaux"	0.150596
"Patrick Leahy"	0.150501
"Tom Campbell"	0.149439
"Robert Byrd"	0.147675
"Eliot Spitzer"	0.147544
"Joseph Lieberman"	0.145855
"John Edwards"	0.145419
"Richard Bryan"	0.143228
"Gray Davis"	0.142584
"John Kerry"	0.142496
"Russell Feingold"	0.140703
"Edward M. Kennedy"	0.139098
"Carl Levin"	0.136619
"Robert C. Byrd"	0.13463
"Mark Green"	0.133118
"Bob Kerrey"	0.132031
"Max Baucus"	0.131254
"Arlen Specter"	0.130289
"Peter Fitzgerald"	0.129937
"Joseph Biden"	0.128988
"Bob Franks"	0.12799
"Patty Murray"	0.127538
"Charles Grassley"	0.12586
"Peter Vallone"	0.123397
"Mario Cuomo"	0.122111
D-N.Y.	0.121942
"Byron Dorgan"	0.12031
"John Dingell"	0.120249
"Phil Gramm"	0.120092
"Evan Bayh"	0.119795
"Edward Kennedy"	0.11974
"George Pataki"	0.119717
"Lauch Faircloth"	0.119471
"Benjamin Gilman"	0.119302
"David Dreier"	0.11923
"Bill Bradley"	0.118298
"Orrin Hatch"	0.117451
"Joseph I. Lieberman"	0.117401
"Linda Smith"	0.116584
"J.C. Watts"	0.116344
"Paul Coverdell"	0.116182
"Tom Daschle"	0.116161
"Bob Barr"	0.115939
"Dan Lungren"	0.115573
"John McCain"	0.115362
"Jon Kyl"	0.115098
"Richard Durbin"	0.114443
"Garry Mauro"	0.114303
"Jim Hodges"	0.114209
"Alfonse D'Amato"	0.114055
Comptroller	0.113732
"Jim Kolbe"	0.112292
"Barney Frank"	0.111438
"Lee Hamilton"	0.111437
"Roy Barnes"	0.110584
"Betsy McCaughey Ross"	0.110569
"Michael Dukakis"	0.110327
"Gary Hart"	0.109504
"Nancy Pelosi"	0.109166
"Peter King"	0.10916
"Barry Goldwater"	0.108874
"Hillary Rodham Clinton"	0.108767
"Harry Reid"	0.10872
"Porter Goss"	0.107726
"George McGovern"	0.107629
"Mitch McConnell"	0.10762
"Sheila Jackson Lee"	0.106884
"Kay Bailey Hutchison"	0.106619
"John Sweeney"	0.106257
senator	0.106145
"Dennis Vacco"	0.106004
"Alejandro Toledo"	0.105912
"Bob Dole"	0.105908
"Chuck Hagel"	0.10589
"Christopher Shays"	0.105089
"Vojislav Kostunica"	0.104928
"Connie Mack"	0.104552
"Ron Wyden"	0.104153
"Susan Molinari"	0.102652
"Jim Leach"	0.102557
"Max Cleland"	0.102228
"Mel Carnahan"	0.102004
"John Lewis"	0.10198
"Christopher Dodd"	0.101131
"George Miller"	0.100808
"Spencer Abraham"	0.100715
"Scott Harshbarger"	0.100082
"Olympia Snowe"	0.0999157
"Bill McCollum"	0.0993834
Councilman	0.0990059
"Jon Corzine"	0.0987279
Moynihan	0.0974539
"Lamar Smith"	0.0960633
"Jim Florio"	0.0960334
"Ernest Hollings"	0.0955636
"Maxine Waters"	0.0953732
"Pete Domenici"	0.0950797
"Ben Nighthorse Campbell"	0.095047
"George E. Pataki"	0.09488
"Kent Conrad"	0.0944229
"Russ Feingold"	0.0940252
"John Conyers Jr."	0.0934023
"Mike DeWine"	0.0933049
"Slade Gorton"	0.0931983
"Dan Coats"	0.0931951
"Zoe Lofgren"	0.0926384
"Henry Waxman"	0.0925946
"John Ashcroft"	0.0924745
"Ted Kennedy"	0.0923155
"Richard Shelby"	0.0922213
"Dale Bumpers"	0.0917755
"Sherwood Boehlert"	0.0916431
"Steve Forbes"	0.0915742
"Gerhard Schroeder"	0.0913896
"Ricardo Lagos"	0.091044
"Bernard Sanders"	0.0907472
"Joe Lieberman"	0.0906208
"Michael Forbes"	0.090188
"Herb Kohl"	0.0897906
"Buddy MacKay"	0.0892124
"Charles Canady"	0.0889663
"John Warner"	0.0887728
"Martin Meehan"	0.0885622
"Christopher Smith"	0.0884582
"Judd Gregg"	0.0883582
Vallone	0.0882676
"Jack Kemp"	0.0880633
"Paul Tsongas"	0.0878238
"William Roth"	0.0874453
"Jim Bunning"	0.0873082
"Zell Miller"	0.0872646
"Walter Mondale"	0.087116
"Bill Frist"	0.0870777
"Don Nickles"	0.0870069
"Jennifer Dunn"	0.0867978
"Charles Robb"	0.0862904
"Sam Brownback"	0.0858627
"Vicente Fox"	0.0855589
"Lloyd Bentsen"	0.0854746
"Asa Hutchinson"	0.0853519
"Bob Smith"	0.0851646
"James Sensenbrenner"	0.0851442
"Christopher Cox"	0.0849403
Pataki	0.0849231
Mayor	0.0847436
"Warren Rudman"	0.0843735
"Tom Vilsack"	0.0842375
"John Kasich"	0.0841542
"Francisco Labastida"	0.0837797
"Susan Collins"	0.0837507
"Ted Stevens"	0.0834504
"Jack Quinn"	0.0834304
"Tom Hayden"	0.0833537
"Larry Craig"	0.0831553
"George W. Bush"	0.0830077
"Steve Largent"	0.0829953
"Barbara Mikulski"	0.0827913
Gephardt	0.0827731
"Charles Stenholm"	0.0825036
"Sam Nunn"	0.0824955
"Howard Baker"	0.0822863
"Wayne Allard"	0.0820509
"Chris Smith"	0.0819237
"John Chafee"	0.081529
"Francisco Labastida Ochoa"	0.081526
"Amo Houghton"	0.0813088
"Dan Burton"	0.0809732
"Ed Bryant"	0.0805767
Democrat	0.080491
D-Mont.	0.0803031
"Dick Durbin"	0.0796675
D'Amato	0.0792504
"John Boehner"	0.0791499
"Robert F. Kennedy"	0.0790881
"Fred Thompson"	0.0790648
"Richard Gephardt"	0.0789865
"Vicente Fox Quesada"	0.0783323
"Ralph Nader"	0.0780898
"Elizabeth Dole"	0.0777563
"Strom Thurmond"	0.0775198
))
("Charles Schwab" (desc 7706.76) (sims
"Charles Schwab &AMP; Co."	0.310763
AmeriTrade	0.30048
"Charles Schwab Corp."	0.292618
ETrade	0.25213
Schwab	0.218715
E-Trade	0.200255
"Merrill Lynch"	0.198782
"Quick &AMP; Reilly"	0.19808
Datek	0.188387
"Fidelity Investments"	0.173574
PaineWebber	0.150769
"Lehman Brothers"	0.135092
"American Express"	0.134735
"Morgan Stanley Dean Witter"	0.132733
"Putnam Investments"	0.124622
"Merrill Lynch &AMP; Co."	0.120372
"J.P. Morgan"	0.115187
"Bear Stearns"	0.111939
"Vanguard Group"	0.110786
"Paine Webber"	0.108674
Priceline.com	0.105054
Citigroup	0.104631
"Chase Manhattan"	0.103618
Amazon.com	0.102725
"Goldman Sachs"	0.102476
"Salomon Smith Barney"	0.102438
"Nikko Securities Co."	0.102295
"International Paper"	0.101234
Instinet	0.100385
"Sun Microsystems"	0.0999392
"Morgan Stanley Dean Witter &AMP; Co."	0.0991828
"Dell Computer"	0.0983731
"Bank of America"	0.0980954
"Lucent Technologies"	0.0970135
"Procter &AMP; Gamble"	0.0953667
"Cisco Systems"	0.0941629
EMC	0.0939731
eBay	0.0937203
"CBS Corp."	0.0936479
"Nomura Securities Co."	0.0936152
Cisco	0.0934674
"CMGI Inc."	0.0928637
fidelity	0.0921015
"Con Edison"	0.0920401
"Bankers Trust"	0.0912072
prudential	0.0910188
"Sprint PCS"	0.0908263
"Wells Fargo"	0.0907731
Yahoo	0.0907619
ZDNet	0.0905595
"Eastman Kodak"	0.090208
"MindSpring Enterprises"	0.0901201
CNET	0.0899695
"Hambrecht &AMP; Quist"	0.089096
"Morgan Stanley"	0.088963
"Donaldson, Lufkin &AMP; Jenrette"	0.0889145
Dupont	0.0888007
"JDS Uniphase"	0.0878325
"ABN AMRO"	0.0870462
"Robertson Stephens"	0.0862069
"Johnson &AMP; Johnson"	0.0861362
CNN.com	0.0855284
"Southwest Airlines"	0.0854966
"America Online"	0.0849164
IBM	0.0846944
"Philip Morris"	0.084506
"Federated Department Stores"	0.0844837
Merck	0.0844519
Qualcomm	0.0842686
"Credit Suisse First Boston"	0.0842163
GTE	0.0841248
Novell	0.0840759
Goldman	0.0837692
Chevron	0.0836918
"Chevron Corp."	0.0835867
"Compaq Computer"	0.0833679
CMGI	0.0832406
"Chase Manhattan Bank"	0.082593
"Global Crossing"	0.0824843
"Exxon Mobil"	0.0818502
BankAmerica	0.0813894
"General Electric"	0.0804989
"brokerage firm"	0.0804932
E-LOAN	0.0803552
"U.S. Trust"	0.0801011
"A.R Baron"	0.0800167
DoubleClick	0.0795687
"Goldman Sachs Group"	0.0795339
"General Motors"	0.0790876
"Network Solutions"	0.0786752
Coca-Cola	0.0786172
"Berkshire Hathaway"	0.0780834
Lucent	0.0777375
McKesson	0.0776884
HSBC	0.0775613
Wal-Mart	0.0774878
"BP Amoco"	0.0772552
Nextel	0.0771828
Pfizer	0.0770305
"Sprint Corp."	0.0768511
Priceline	0.0766817
"British Telecom"	0.0766263
Hewlett-Packard	0.0763585
Alcoa	0.0763059
SBC	0.0761565
Compaq	0.0761233
Merrill	0.0760597
Pepsico	0.0760537
brokerage	0.0756999
"Learning Co."	0.0755773
"Bell Atlantic"	0.0754275
Monsanto	0.0746957
eToys	0.0745069
Buy.com	0.0743939
"John Hancock"	0.0736509
"Barnes &AMP; Noble"	0.0733426
oracle	0.0732419
"Chase Manhattan Corp."	0.0729889
"MCI WorldCom"	0.0729538
Softbank	0.072861
"US West"	0.0727577
Exxon	0.0725431
"Times Co."	0.0725413
Biogen	0.0724835
"Wine Institute"	0.0722299
"Gap Inc."	0.0721568
UAL	0.0717393
Travelocity	0.0717388
"Home Depot"	0.071716
"T. Rowe Price"	0.0716558
Xerox	0.0715077
Mattel	0.0711341
vanguard	0.0709013
NIKE	0.0708632
"Electronic Frontier Foundation"	0.0708003
Lycos	0.0707292
BellSouth	0.070558
"Time Warner"	0.0703226
"New York Times Co."	0.0701644
MindSpring	0.0701439
Amazon	0.0700743
"Hewlett Packard"	0.0698183
Intel	0.0695249
MP@.com	0.06943
"Niagara Mohawk"	0.0693615
"Rite Aid"	0.0692602
Citibank	0.068896
"J.C. Penney"	0.0688126
Qwest	0.068812
Citicorp	0.0687675
Mobil	0.0687393
WorldCom	0.068719
"Staples Inc."	0.0685961
"AMR Corp."	0.0685908
BankBoston	0.0685019
Barnesandnoble.com	0.0681788
"Toys R Us"	0.0681613
"Edward Jones"	0.0680381
"Deutsche Bank"	0.0679623
MarketWatch.com	0.0679561
"Sony Corp."	0.0677319
Honeywell	0.067419
Motorola	0.0673787
Bestfoods	0.06734
Dell	0.0672817
Comcast	0.0668811
"Dean Witter"	0.0668376
ENTREMED	0.0664326
Airtouch	0.0663155
"Dell Computer Corp."	0.0662476
"Travelers Group"	0.0659103
"Apple Computer"	0.0657878
MCDONALD's	0.0657328
ICBC	0.06571
Ericsson	0.065184
Ameritech	0.0651515
"Cisco Systems Inc."	0.0651414
"Nortel Networks"	0.0651222
"brokerage house"	0.0649734
Starbucks	0.064523
"Texas Instruments"	0.0645148
"BankAmerica Corp."	0.0643443
"Eli Lilly"	0.0642602
"Microsoft Corp."	0.0640505
Amgen	0.0640108
Mastercard	0.0639784
ExciteAtHome	0.0637873
"HSBC Holdings"	0.063786
"First Union"	0.0637446
Nabisco	0.063737
Nokia	0.0636928
"General Electric Co."	0.0636709
"Dayton Hudson"	0.063598
"Time Warner Inc."	0.0635735
"Coca-Cola Enterprises"	0.0634491
Ciena	0.0634087
Kodak	0.0633931
Sears	0.0633376
"Monsanto Co."	0.0631906
All-Tech	0.0631603
))
("Charles Schwab &AMP; Co." (desc 2317.24) (sims
"Charles Schwab"	0.310763
"Charles Schwab Corp."	0.301777
AmeriTrade	0.216756
ETrade	0.179435
Schwab	0.173599
"Quick &AMP; Reilly"	0.168066
E-Trade	0.163751
"Merrill Lynch"	0.137657
Datek	0.135311
"Yamaichi Securities Co."	0.130866
"Morgan Stanley Dean Witter &AMP; Co."	0.124056
"Merrill Lynch &AMP; Co."	0.117167
"Viacom Inc."	0.113033
"Nomura Securities Co."	0.111912
"Nikko Securities Co."	0.108863
"CBS Corp."	0.108721
"Vanguard Group"	0.106751
"Securities Industry Association"	0.101611
"Putnam Investments"	0.0992649
PaineWebber	0.0974374
"America Online Inc."	0.0958161
"A.R Baron"	0.0936901
"Chevron Corp."	0.0926646
"Fidelity Investments"	0.0917168
"Hong Kong Monetary Authority"	0.0860996
"Philip Morris Cos."	0.0853579
"National Republican Congressional Committee"	0.083434
"New York Times Co."	0.0831212
"Airport Authority"	0.0827031
"Cendant Corp."	0.0822788
"Dell Computer Corp."	0.0815603
"Federated Department Stores"	0.0812304
"Mastercard International"	0.0802552
"China National Tourism Administration"	0.076632
"Sony Corp."	0.0763083
"Times Co."	0.0761493
"National Association"	0.0758442
"Walt Disney Co."	0.0751231
"Salomon Smith Barney"	0.0741833
"Air Line Pilots Association"	0.0731511
"MindSpring Enterprises"	0.0722562
"Bear Stearns"	0.0721029
"Cuban American National Foundation"	0.0717304
Merrill	0.0716848
Toysrus.com	0.0714958
"Gap Inc."	0.0711662
"Ford Motor Company"	0.0709583
"Hewlett-Packard Co."	0.0707497
"American International Group"	0.0701566
"American Express"	0.0699246
"Department of Environmental Conservation"	0.0698684
"AMR Corp."	0.0695263
"China Association for Science"	0.0695073
"Donaldson, Lufkin &AMP; Jenrette"	0.0694506
"Southwest Airlines"	0.0684256
"Texas Department of Public Safety"	0.0678886
"Lehman Brothers"	0.0677072
E-LOAN	0.0675935
"China Federation"	0.067538
Nomura	0.0671447
"Bertelsmann AG"	0.066976
"Dell Computer"	0.0667316
Pfizer	0.0666854
"Ford Motor Co."	0.0660724
"Berkshire Hathaway"	0.065669
"Port Authority of New York"	0.065252
"State Peace and Development Council"	0.0651283
"Chase Manhattan Bank"	0.0650635
"Sprint Corp."	0.0650416
"Dow Jones &AMP; Co."	0.0646804
Mastercard	0.0641544
EMC	0.0638626
"Air Transport Association"	0.0637905
"China Securities Regulatory Commission"	0.0629824
"Bank of America"	0.0629199
"Congress (NPC) Standing Committee"	0.0629029
Priceline.com	0.0626693
"American Association of Health Plans"	0.0626658
prudential	0.0621185
"Pfizer Inc."	0.0618988
"Real Networks"	0.0617219
"Bell Atlantic"	0.0615915
"Network Solutions"	0.0613462
"Hughes Electronics Corp."	0.0605631
"Chase Manhattan Corp."	0.0603071
"Morgan Stanley"	0.0595211
"Handgun Control Inc."	0.0594278
"Coca-Cola Co."	0.0594237
"All-China Youth Federation"	0.0593405
"Department of Public Safety"	0.0590995
"Credit Suisse First Boston"	0.0588537
"News Corp."	0.05884
"Intel Corp."	0.058366
"Tribune Co."	0.0583566
"Oracle Corp."	0.0582795
"Health Department"	0.0582502
"Bureau of Land Management"	0.0581718
"U.N. World Food Program"	0.0581002
"First Union Corp."	0.0578521
fidelity	0.0576818
"American Heart Association"	0.0576519
"Pepsico Inc."	0.0575665
"Chinese People's Political Consultative Conference"	0.0572411
"brokerage house"	0.0571964
"Sun Microsystems Inc."	0.0571352
Citigroup	0.057119
"Sprint PCS"	0.0570517
"National Park Service"	0.0570178
"Pac Bell"	0.0569295
"Staples Inc."	0.0568339
"Lockheed Martin Corp."	0.0568156
"American Bankers Association"	0.056571
"Con Edison"	0.0564698
"Democratic Congressional Campaign Committee"	0.0562803
"U.S. Postal Service"	0.0561469
"Daimlerchrysler AG"	0.0559513
"Health and Human Services Department"	0.0558512
"U.S. Immigration and Naturalization Service"	0.055761
"Apple Computer Inc."	0.0556811
SkyTel	0.055377
"Computer Associates"	0.055335
CIRC	0.0553336
"Morgan Stanley Dean Witter"	0.055243
"FAO Schwarz"	0.0550558
Instinet	0.0547869
"military commission"	0.0547703
CompuServe	0.0546877
"Gillette Co."	0.0544284
"British Airways"	0.054206
"Chinese Society"	0.0541882
"American Cancer Society"	0.0541779
Bertelsmann	0.0541384
Nabisco	0.0540536
"Fannie Mae"	0.0540312
"Handgun Control"	0.0539807
"Metropolitan Transportation Authority"	0.0538762
Britannica	0.0538209
"Bill Lockyer"	0.0536935
"AOL Time Warner"	0.0535512
"Ford Foundation"	0.0534551
"MCI WorldCom"	0.0532251
JetBlue	0.0532015
Hewlett-Packard	0.0530437
Intuit	0.0530165
"Delta Air Lines"	0.052993
"Sun Microsystems"	0.0527839
HKMA	0.0527329
EarthLink	0.0526148
Nortel	0.0525766
"Time Warner Inc."	0.0522592
"Family Research Council"	0.0520519
"National Committee"	0.052015
"Wells Fargo"	0.0519773
"Southwestern Bell"	0.0518149
"Global Crossing"	0.0518085
MindSpring	0.0517653
"Chase Manhattan"	0.0516316
"EMC Corp."	0.0514716
"Turner Broadcasting"	0.0513648
Fossett	0.0512768
"MediaOne Group"	0.0509907
"National Federation"	0.0509167
"Continental Airlines"	0.0508637
Unilever	0.0507535
"Department of Veterans Affairs"	0.0504798
"Ninth National Committee"	0.0504591
"Compaq Computer Corp."	0.0504236
"Seagram Co."	0.0503659
"House Majority Whip Tom DeLay"	0.0503369
"Department of Corrections"	0.0502526
"Michael Milken"	0.0501088
"U.S. Information Agency"	0.0501008
"Social Security Administration"	0.050045
"Toyota Motor Corp."	0.050029
"Department of Environmental Protection"	0.049821
"Association of Flight Attendants"	0.0498006
McMillan	0.049682
"National Education Association"	0.0496228
"Forest Service"	0.049571
"Glaxo Wellcome"	0.0494856
"Time Warner Cable"	0.0491142
"Niagara Mohawk"	0.0490447
"American Association of Retired Persons"	0.0490437
"Carolyn McCarthy"	0.0490024
DoubleClick	0.0489371
"Sydney Organizing Committee"	0.0489275
Telefonica	0.0489222
ABCNews.com	0.0488235
"Hearst Corp."	0.0488198
"Baby Bells"	0.0488077
DrKoop.com	0.048626
"College Board"	0.0484199
"Cisco Systems"	0.0483912
"Goldman, Sachs &AMP; Co."	0.0483658
"General Electric Co."	0.0482761
"Compaq Computer"	0.0482679
MCI	0.048227
"U.S. Chamber of Commerce"	0.0482192
"American Red Cross"	0.0481737
"Bank of Scotland"	0.0481261
))
("Charles Schwab Corp." (desc 1852.39) (sims
"Charles Schwab &AMP; Co."	0.301777
"Charles Schwab"	0.292618
AmeriTrade	0.273574
"Nomura Securities Co."	0.222434
ETrade	0.210118
"Quick &AMP; Reilly"	0.201383
E-Trade	0.198694
"Yamaichi Securities Co."	0.172262
Schwab	0.16328
"Nikko Securities Co."	0.152013
"Morgan Stanley Dean Witter &AMP; Co."	0.147432
"Merrill Lynch"	0.137881
"A.R Baron"	0.13759
PaineWebber	0.123593
Datek	0.118195
"Merrill Lynch &AMP; Co."	0.116228
"Goldman Sachs Group"	0.113406
"Enron Corp."	0.111252
Priceline.com	0.107666
"Fidelity Investments"	0.106611
"Berkshire Hathaway"	0.10109
"Hyundai Group"	0.101006
"Amazon.com Inc."	0.100942
"NEC Corp."	0.0995736
"Exxon Corp."	0.0977083
Nomura	0.0973929
Federated	0.097227
"Chase Manhattan Corp."	0.0915285
"American International Group"	0.0909653
"Bear Stearns"	0.0906372
"International Business Machines Corp."	0.0905539
"brokerage unit"	0.0901441
"MindSpring Enterprises"	0.0901403
"Seagram Co."	0.0893957
"Wal-Mart Stores Inc."	0.0893395
"Putnam Investments"	0.0891064
"Morgan Stanley Dean Witter"	0.0889386
"Goldman Sachs"	0.0886897
"National Semiconductor"	0.087948
"BankAmerica Corp."	0.0877063
"Nortel Networks"	0.0876431
"Dow Jones &AMP; Co."	0.0876357
"National Grid"	0.086759
"Texaco Inc."	0.0867351
"Viacom Inc."	0.0866615
"International Paper"	0.0862139
"Coca-Cola Co."	0.0859216
"Salomon Smith Barney"	0.0857827
"SBC Communications Inc."	0.0857141
"ABN AMRO"	0.0850113
"Volkswagen AG"	0.0849417
"Sony Corp."	0.0843422
"Halliburton Co."	0.0840912
"Royal Bank of Scotland"	0.0839395
"CMGI Inc."	0.0824828
"Siemens AG"	0.0821943
Citigroup	0.0816762
"New York Times Co."	0.0810608
"Ford Motor Company"	0.0808122
"Mobil Corp."	0.0805019
"UAL Corp."	0.0799801
"Times Co."	0.07967
Novartis	0.0787528
"Lehman Brothers"	0.0785773
"Federated Department Stores"	0.0780318
"J.P. Morgan &AMP; Co."	0.0773888
"Motorola Inc."	0.0772298
"China National Petroleum Corporation"	0.0770146
chipmakers	0.0766629
Pepsico	0.0761135
"Travelers Group"	0.0757324
"Chase Manhattan Bank"	0.0753876
"ELF AQUITAINE"	0.0749292
"First Union"	0.0740046
"Time Warner Inc."	0.0738715
"Paine Webber"	0.0737107
"brokerage house"	0.0735555
"Nissan Motor Co."	0.0731915
"Intel Corp."	0.0728024
"Lucent Technologies"	0.0726046
"Chase Manhattan"	0.0723715
"CBS Corp."	0.0723608
"Xerox Corp."	0.072189
"Mitsubishi Motors"	0.0720962
"First Union Corp."	0.0720321
Alcatel	0.071849
"Cisco Systems Inc."	0.0716757
BankAmerica	0.0713661
"Chevron Corp."	0.0712355
"toy retailer"	0.0711063
"Nippon Telegraph"	0.0710897
"Cisco Systems"	0.0709897
Merrill	0.070853
"Securities Industry Association"	0.0701779
HSBC	0.0701118
"Atlantic Richfield"	0.0701114
"Niagara Mohawk"	0.0696996
"Citigroup Inc."	0.0694888
"Raytheon Co."	0.0693878
"Continental Airlines"	0.0693612
"Johnson &AMP; Johnson"	0.0691997
"SBC Communications"	0.0689465
"AMR Corp."	0.0687828
"Hewlett-Packard Co."	0.0687441
"HBO &AMP; Co."	0.0687418
"GTE Corp."	0.0686579
"Bank of Scotland"	0.0686249
EMC	0.0684773
Medtronic	0.0683702
"HSBC Holdings"	0.0682641
CITIC	0.0681536
"Nortel Networks Corp."	0.0678073
"Bank of America"	0.0677321
Totalfina	0.0677284
"Global Crossing"	0.0676621
"Monsanto Co."	0.0675288
Alcoa	0.0674078
"Toyota Motor Corp."	0.0671946
"Ford Motor"	0.0668082
NTT	0.0667151
"True North"	0.0666497
"Northeast Utilities"	0.066614
"Gap Inc."	0.0665799
CNOOC	0.0665632
NiSource	0.0664822
CSX	0.06642
"account statement"	0.0664093
"Computer Associates"	0.0662389
Nortel	0.0661521
"Legend Group"	0.0660782
"Electronic Arts"	0.065911
"General Electric Co."	0.0656859
"Advanced Micro"	0.0656114
"United Technologies"	0.0654834
"market maker"	0.0654435
"Ford Motor Co."	0.0654145
"Vodafone Airtouch PLC"	0.0652871
"Carl Icahn"	0.0651217
"EMC Corp."	0.0650667
AstraZeneca	0.0646858
Vivendi	0.0642579
"U.S. Treasury Department"	0.0641324
UAL	0.0637357
"Fleet Financial Group"	0.0637046
"department store chain"	0.0634791
Amgen	0.0633753
"Edward Jones"	0.0632985
Healtheon	0.0627504
"Netscape Communications"	0.0626413
"U.S. Soccer Federation"	0.0625557
"Fannie Mae"	0.0623094
"Bank of Israel"	0.0622399
"Oracle Corp."	0.0620752
"Aetna Inc."	0.0617136
"Philip Morris Cos."	0.0615813
"Morgan Stanley"	0.0614977
"Donaldson, Lufkin &AMP; Jenrette"	0.0614161
toymaker	0.061411
"Eastman Kodak"	0.0613349
Instinet	0.0607467
"Thermo Electron"	0.0607384
YankeeNets	0.060699
"BellSouth Corp."	0.0604411
"Southeastern Legal Foundation"	0.0603783
"PC Data"	0.060239
"Thai Farmers Bank"	0.0599668
AIG	0.0599495
Unilever	0.0597821
"Nihon Keizai Shimbun"	0.0597509
"Eastman Kodak Co."	0.0597286
"Boeing Co."	0.0596673
Biogen	0.0595281
"Dell Computer Corp."	0.0594876
"Mattel Inc."	0.0591789
"UBS AG"	0.0591586
Telefonica	0.0591257
"Sara Lee"	0.0590799
Televisa	0.0589542
Fossett	0.058817
Nestle	0.0586561
PictureTel	0.0584581
Qualcomm	0.0584033
"retail operation"	0.0583267
"auto company"	0.0582764
"Nissan Motor"	0.0581131
"GE Capital"	0.0580795
"Justice Party"	0.0580367
McKesson	0.0579493
"JP Morgan"	0.0576845
Wachovia	0.0575643
"semiconductor maker"	0.0574764
"Levi Strauss &AMP; Co."	0.0573452
Litton	0.0570773
Daimler-Chrysler	0.0570465
GANNETT	0.0570403
"General Motors Corp."	0.0570006
E-LOAN	0.0568241
Honeywell	0.056764
ENTREMED	0.05668
Loews	0.0565577
))
("Charles Schwarz" (desc 2037.04) (sims
"Justin Volpe"	0.260703
Schwarz	0.216975
Wiese	0.175703
Volpe	0.110801
Bruder	0.108936
"John William King"	0.0846941
Priebke	0.0761653
"David Hale"	0.0724908
"enlisted man"	0.0710232
"Shawn Berry"	0.0665183
"Bill King"	0.0636581
"Aaron McKinney"	0.0597568
Laudor	0.0591639
enlistee	0.0565899
"security consultant"	0.0542179
"John Kelly"	0.0534514
Haouari	0.0506653
Hsia	0.0496481
"Timothy McVeigh"	0.0478215
"Russell Peeler"	0.0476239
"Pat Burns"	0.0472463
serviceman	0.0471954
"Julie Hiatt Steele"	0.0460995
"police sergeant"	0.0458762
"David Graham"	0.0451395
Akayesu	0.0445615
Barrionuevo	0.0445127
"Wang Dan"	0.0438592
"Angel Maturino Resendiz"	0.0436368
Khalil	0.0430985
"Shawn Allen Berry"	0.0427861
Sacco	0.0427821
"Jim Guy Tucker"	0.0427203
Berenson	0.0421224
Karbaschi	0.0420588
"flight engineer"	0.0410799
"Maturino Resendiz"	0.040361
"deputy sheriff"	0.0402099
"army engineer"	0.0401797
))
("Charles Stenholm" (desc 1403.53) (sims
"Lloyd Doggett"	0.406045
"Sheila Jackson Lee"	0.370261
"Martin Frost"	0.318966
"Jim Turner"	0.28804
"Henry Bonilla"	0.189225
"Jim Kolbe"	0.176232
"Ron Paul"	0.165918
"Carolyn Maloney"	0.165191
"Zoe Lofgren"	0.160048
"Henry Waxman"	0.15628
"Dan Miller"	0.156143
"Bill Archer"	0.154151
"Jose Serrano"	0.152307
"Norm Dicks"	0.150216
"Billy Tauzin"	0.144776
"Curt Weldon"	0.140417
"Nancy Pelosi"	0.139089
"George Nethercutt"	0.138643
"Steve Chabot"	0.137123
"George Gekas"	0.133118
"Robert Menendez"	0.13297
"Carolyn McCarthy"	0.132591
"Charles Canady"	0.131028
"Nita Lowey"	0.129596
"Loretta Sanchez"	0.127586
"John Dingell"	0.127311
"Charles E. Schumer"	0.127261
"Lamar Smith"	0.125508
"Charles Rangel"	0.125454
"Martin Meehan"	0.125175
"Christopher Shays"	0.12475
"Matt Salmon"	0.124575
"John Conyers"	0.12267
"David Bonior"	0.122401
"David Dreier"	0.119921
"George Miller"	0.118393
"Jennifer Dunn"	0.116885
"Barney Frank"	0.114385
"Dick Armey"	0.113625
"Mark Foley"	0.112986
"Jerrold Nadler"	0.111798
"Lee Hamilton"	0.111681
"Ron Wyden"	0.111583
"Maxine Waters"	0.111348
"Jim McDermott"	0.109831
"Sherwood Boehlert"	0.109504
"Connie Morella"	0.10668
"Russ Feingold"	0.106474
"Mary Bono"	0.102944
"Charlie Norwood"	0.10032
"Tim Johnson"	0.100253
"Marge Roukema"	0.0997796
"Blanche Lincoln"	0.0993892
"Nancy Johnson"	0.0971511
"Jack Quinn"	0.0963325
"Steve Largent"	0.0962652
"Michael Forbes"	0.0958599
"Tillie Fowler"	0.0945983
"Carl Levin"	0.0938039
"Porter Goss"	0.0937283
"Ed Bryant"	0.0931389
"Christopher Cox"	0.0922725
"Joseph Biden"	0.0921722
"Russell Feingold"	0.0920444
"Patrick Kennedy"	0.0915389
"Thad Cochran"	0.0910277
"Jim Leach"	0.0894498
"Sue Kelly"	0.087375
"Peter King"	0.0854588
"James Rogan"	0.0852883
"Tom Coburn"	0.0852683
"Jim Bunning"	0.0849183
"Charles Schumer"	0.0825036
"Charles Robb"	0.0820772
"Bob Barr"	0.081668
"Phil Gramm"	0.0812984
"Asa Hutchinson"	0.0812545
"Benjamin Gilman"	0.0800579
"Kent Conrad"	0.0787207
"Richard Gephardt"	0.0785534
"Richard Bryan"	0.0781522
"John Linder"	0.0777114
"Patrick Leahy"	0.0776153
"Dale Bumpers"	0.077108
"Linda Smith"	0.0770275
"House Majority Whip Tom DeLay"	0.0765946
"Bill Thomas"	0.0765006
"Tom Hayden"	0.0758828
"Dick Gephardt"	0.0756727
"Spencer Abraham"	0.075321
"Bernard Sanders"	0.0749602
"Chris Smith"	0.0749432
"Amo Houghton"	0.0747941
"John Lewis"	0.0745461
"Lindsey Graham"	0.0744668
"John Conyers Jr."	0.0737381
"Jack Kingston"	0.0736714
"Adam Smith"	0.0736415
Harkin	0.0732935
"Fred Upton"	0.0732865
"John Sweeney"	0.073177
Markey	0.0730625
"James Sensenbrenner"	0.0714382
"Tom Campbell"	0.0713698
Moakley	0.0710471
"Don Young"	0.070421
"Majority Whip Tom DeLay"	0.0694053
"John Boehner"	0.0692826
"Max Baucus"	0.0692334
D-Mont.	0.068951
"Lloyd Bentsen"	0.0679984
"Kay Bailey Hutchison"	0.0677344
"J.C. Watts"	0.0676643
"Parris Glendening"	0.0673867
"Robert Livingston"	0.0664138
"Max Cleland"	0.0660242
Nadler	0.0657858
"Greg Ganske"	0.065642
"Dan Morales"	0.0655886
"Bill McCollum"	0.0651625
Rendell	0.0647749
"Susan Molinari"	0.0645711
"Tom Vilsack"	0.0637864
Musgrove	0.0637611
"Tom DeLay"	0.0636825
"Roy Barnes"	0.0635212
"John Lynch"	0.0634852
"Sheldon Silver"	0.0634566
Knowles	0.063361
"Bill Lockyer"	0.0632742
Hollings	0.06302
"Mark Green"	0.0629399
"Gary Locke"	0.0623954
Pelosi	0.0623804
"Robert Torricelli"	0.0623147
"Paul Patton"	0.0620905
"Patty Murray"	0.0618829
R-Texas	0.061463
"Robert C. Byrd"	0.0614368
D-S.C.	0.0610384
"Tom Davis"	0.0605069
"Frank Lautenberg"	0.0599872
"Bob Kerrey"	0.0597544
"Ann Richards"	0.0593649
"Mark Sanford"	0.0591681
"Christopher Smith"	0.0590699
"Dianne Feinstein"	0.0573859
D-Texas	0.0571344
Shamshad	0.0568608
Dingell	0.0564357
Biden	0.0563092
"John Cornyn"	0.0560474
"Eastern District"	0.0559371
Dodd	0.0555763
Leahy	0.0549293
Cleland	0.0545048
"Martin Lee"	0.0541924
"Bob Bullock"	0.0539993
Strauss-Kahn	0.0539923
"Eliot Spitzer"	0.0539253
"Rick White"	0.0536414
D-Vt.	0.053369
Talebi	0.0531846
Napolitano	0.0531826
Siegelman	0.0529904
"Christopher Dodd"	0.0529635
"James Inhofe"	0.0529001
"Sam Brownback"	0.052298
"Mel Carnahan"	0.0521066
"Lyndon B. Johnson"	0.052082
"Jim Hodges"	0.0519099
"Joseph Lieberman"	0.0517783
"Bob Graham"	0.0513696
Daschle	0.0512715
"Florida Republican"	0.0510891
"Barbara Boxer"	0.0510168
"Dennis Hastert"	0.0510142
"Zhou Nan"	0.0501075
"Craig Thomas"	0.0500235
"Jeanne Shaheen"	0.0499808
Glendening	0.049701
Fieger	0.0493957
"Daniel Patrick Moynihan"	0.0493238
Dewine	0.0485023
MURTHA	0.0484249
Insulza	0.0483279
Kerrey	0.0482763
Jovanovic	0.0482063
"Bob Franks"	0.0480584
Jayakumar	0.0479943
Fleischer	0.0478589
"Tony Coelho"	0.0477859
Brenner	0.047757
Locke	0.0473089
Shaheen	0.0472378
Constantine	0.0471259
"Nature Conservancy"	0.0470775
Reyes	0.047014
"Senate Finance Committee"	0.0470105
"Dan Burton"	0.0467185
))
("Charles Taylor" (desc 4639.14) (sims
"Roosevelt Johnson"	0.198823
"Kim Dae Jung"	0.177293
"Alhaji Kromah"	0.176784
"Olusegun Obasanjo"	0.165553
"Foday Sankoh"	0.159688
"Rashid Dostum"	0.158761
"Ali Mahdi Mohamed"	0.154705
"Thabo Mbeki"	0.151056
"Andres Pastrana"	0.145915
"Joseph Estrada"	0.145405
"Shamil Basayev"	0.144395
"Hugo Chavez"	0.143991
"Ricardo Lagos"	0.14136
"Abdurrahman Wahid"	0.135709
"Mohammad Khatami"	0.131196
"Jamil Mahuad"	0.130579
Dae-jung	0.127481
"Jacques Chirac"	0.122424
"Hussein Mohamed Aidid"	0.117989
"Laurent Kabila"	0.114625
"Alexander Lukashenko"	0.113036
"Fernando Henrique Cardoso"	0.112399
"Franjo Tudjman"	0.112345
"Nikola Poplasen"	0.112327
"Vaclav Havel"	0.111963
"Alberto Fujimori"	0.109587
"Aslan Maskhadov"	0.109489
"Ernesto Zedillo"	0.109232
"Khaleda Zia"	0.10851
"Ali Mahdi"	0.108335
"Lamberto Dini"	0.106135
"Kim Il Sung"	0.105432
"Yitzhak Mordechai"	0.105061
"John Sweeney"	0.104355
"Vojislav Kostunica"	0.104218
"Pierre Buyoya"	0.10152
"Hafez Assad"	0.100879
"Xanana Gusmao"	0.100861
"Robert Mugabe"	0.100537
"Martti Ahtisaari"	0.100012
"Carlos Menem"	0.0988477
"Lokendra Bahadur Chand"	0.097589
"Vicente Fox"	0.097319
"Lech Walesa"	0.0971169
"Alija Izetbegovic"	0.0958506
Shui-bian	0.0951034
"Sonia Gandhi"	0.0945238
"Necmettin Erbakan"	0.0944778
"Richard Gephardt"	0.0944441
"Pasteur Bizimungu"	0.0933983
"Joschka Fischer"	0.0932697
"Ivan Kostov"	0.093236
"Gulbuddin Hekmatyar"	0.0929759
"Chavalit Yongchaiyudh"	0.092549
"Sepp Blatter"	0.0924912
Masood	0.0913917
"Mikhail Gorbachev"	0.0912329
"Abdulsalami Abubakar"	0.0910773
"Helen Clark"	0.0908913
"Kim Jong Il"	0.0908242
"Vladimir Putin"	0.0906323
"Radovan Karadzic"	0.090001
"George Weah"	0.0896911
"James P. Hoffa"	0.0893047
Klerk	0.0890622
Wamba	0.0888982
"Howard Baker"	0.0888911
"Mikulas Dzurinda"	0.0888799
"Jean-Marie Le Pen"	0.0886661
"Gerry Adams"	0.0880333
"Hosni Mubarak"	0.0878746
"Girija Prasad Koirala"	0.0877046
Dostum	0.0869186
"Jonas Savimbi"	0.0866191
"Gennady Zyuganov"	0.0865104
"Sali Berisha"	0.08537
"Megawati Soekarnoputri"	0.0851698
"P.V Narasimha Rao"	0.0851237
warlord	0.0847088
"Robert Guei"	0.0846065
"Joseph Bruno"	0.084314
"Rafik Hariri"	0.0842733
"Paul Kagame"	0.0834872
"Hussein Aidid"	0.0834349
"Slobodan Milosevic"	0.083326
"William Hague"	0.0830282
"Sam Rainsy"	0.0830101
"Kim Yong Nam"	0.0829783
Khattab	0.0827252
"Mesut Yilmaz"	0.0823804
"Wim Duisenberg"	0.0821512
"Ibrahim Rugova"	0.0820986
"Moammar Gadhafi"	0.0818317
"Amien Rais"	0.0816778
Rua	0.0816401
"Johnny Paul Koroma"	0.0816252
"Shimon Peres"	0.0814149
"Jacques Santer"	0.0811321
"Atal Behari Vajpayee"	0.080783
Moi	0.0799423
"Zoran Djindjic"	0.0798712
"Natan Sharansky"	0.079621
Chand	0.0794559
"Pandeli Majko"	0.0792149
"Yasser Arafat"	0.0789575
"Antonio Guterres"	0.0789023
Nazarbayev	0.0788642
Taylor	0.0784153
Kumaratunga	0.0783925
"Dave Checketts"	0.0783302
"Inder Kumar Gujral"	0.0781824
"Chuan Leekpai"	0.0779252
"Ketumile Masire"	0.0779028
Obasanjo	0.0778703
"Steve Ballmer"	0.0778266
Bouteflika	0.0777845
el-Bashir	0.0775953
Aidid	0.0774549
"Yoweri Museveni"	0.0773936
"Vuk Draskovic"	0.077316
"Ayatollah Ali Khamenei"	0.0773153
"Scott Harshbarger"	0.0770795
"Fidel Castro"	0.0770383
"Ricardo Alarcon"	0.0769066
"Dick Armey"	0.0768717
"Abdul Malik"	0.0768489
"Felipe Gonzalez"	0.0766276
"Ariel Sharon"	0.0765899
"Bashkim Fino"	0.0764304
"B.J Habibie"	0.0763508
"Yoshiro Mori"	0.0761843
"Romano Prodi"	0.0761819
"Sani Abacha"	0.0761527
"Jerzy Buzek"	0.0761428
"Vaclav Klaus"	0.0760978
"Dick Gephardt"	0.0760866
"Benazir Bhutto"	0.0760043
"Hashim Thaci"	0.0758639
Chissano	0.0758155
Khatami	0.0755798
"David Duke"	0.0753633
"John Bruton"	0.075188
"Ayatollah Ruhollah Khomeini"	0.0750345
"John Hume"	0.0749655
"Yossi Sarid"	0.0748002
al-Bashir	0.0741257
"Khun Sa"	0.0741215
"Lauch Faircloth"	0.0737878
Poplasen	0.0736218
"Pervez Musharraf"	0.0736027
"Nelson Mandela"	0.0735326
"Begum Khaleda Zia"	0.0735042
"Sheikh Hasina"	0.0734798
"Joaquim Chissano"	0.0734386
Izetbegovic	0.0730104
"Tom Daschle"	0.0725167
"Bulent Ecevit"	0.0724781
"Huang Ju"	0.0723721
"Kiichi Miyazawa"	0.0723451
Museveni	0.0722545
"Linda Smith"	0.0721506
"Grigory Yavlinsky"	0.0720628
"Vladimir Zhirinovsky"	0.0720022
"Omar Torrijos"	0.0717323
"Bashar Assad"	0.0716106
"Deve Gowda"	0.071428
"H.D Deve Gowda"	0.0710721
"Vo Van Kiet"	0.070893
Wahid	0.070851
"John Major"	0.0708207
"Atal Bihari Vajpayee"	0.0708023
Hasina	0.0706786
"Milos Zeman"	0.0706451
"Meles Zenawi"	0.0702823
"Tansu Ciller"	0.0700112
"Lee Hamilton"	0.0698991
"Jose Maria Aznar"	0.0698357
"Biljana Plavsic"	0.0698305
"David Trimble"	0.0697231
"Juan Antonio Samaranch"	0.06969
"Megawati Sukarnoputri"	0.069646
Kwasniewski	0.0692875
"Carlos Salinas"	0.0692823
"Aung San Suu Kyi"	0.0692007
"Jiang Zemin"	0.0689236
"Wlodzimierz Cimoszewicz"	0.0688802
Ecevit	0.0688672
Megawati	0.0687424
D-Mo.	0.0687109
R-Miss.	0.0686274
"Massimo D'Alema"	0.0686046
"Hu Jintao"	0.0684291
"Martin McGuinness"	0.0679274
Rabbani	0.0675979
president-elect	0.0675285
"Silvio Berlusconi"	0.06726
"Gray Davis"	0.0671221
"Bangladesh Nationalist Party"	0.0670587
Sukarno	0.0666265
"Ieng Sary"	0.0665838
))
("Charles Woodson" (desc 2463.28) (sims
"Tim Brown"	0.205771
"Chris McAlister"	0.16094
"Aeneas Williams"	0.159579
"Sam Madison"	0.150004
"Chris Canty"	0.142671
"Darrell Green"	0.141626
"Michael Booker"	0.135356
"Dwayne Goodrich"	0.134788
"Bo Jackson"	0.132687
"Jason Sehorn"	0.124567
"Tom Brady"	0.119154
"Rich Gannon"	0.118225
"Champ Bailey"	0.116963
"Mario Edwards"	0.115646
"Darrien Gordon"	0.1138
"Ronnie Bradford"	0.112731
"Aaron Glenn"	0.112581
"Ty Law"	0.105568
"Phillippi Sparks"	0.104755
"Steve Israel"	0.10475
"Kevin Mathis"	0.103776
"Ray Buchanan"	0.103149
"Ryan Roques"	0.102943
"Ben Grieve"	0.0983396
"Ron Dayne"	0.0977772
"Tebucky Jones"	0.0975017
Bly	0.0966856
"Danny Wuerffel"	0.0959632
"Otis Smith"	0.0947737
"Dale Carter"	0.0923889
"Tim Hudson"	0.0908482
"Dave Thomas"	0.0904768
"Shaun Alexander"	0.0898602
"Edgerrin James"	0.0848523
"Kevin Smith"	0.0818876
"Sebastian Janikowski"	0.0785967
"Marques Anderson"	0.078549
"Jason Bell"	0.0782286
"BRIAN MEADOWS"	0.0779329
"Antonio Langham"	0.0764145
"Charlie Williams"	0.0762733
"Earl Campbell"	0.0758003
"Jose Jimenez"	0.0756521
"Robert Traylor"	0.0756319
"Fred Taylor"	0.0744575
"Randall Simon"	0.0744184
"Rob Johnson"	0.073298
"Jason Giambi"	0.0731477
"Juan Montoya"	0.0723834
"Eddie Cheever"	0.0718065
"Ryan Leaf"	0.0712341
"Deion Sanders"	0.0705259
"Tim Couch"	0.0700842
"Doak Walker"	0.0699749
"Kevin Appier"	0.06997
"Tom Candiotti"	0.0697914
"John Engler"	0.0693876
"Charlie Batch"	0.0692251
"Howie Long"	0.0689572
Longo	0.0686269
"John Conyers"	0.0685868
"Randy Moss"	0.0683106
"Keith Brooking"	0.0677827
"Kevin Williams"	0.0677507
"Al Davis"	0.0670762
"David Bonior"	0.0657396
"Leon Lett"	0.0651425
"Marcus Allen"	0.065134
"Gil Heredia"	0.064856
"Jeff Weaver"	0.0642429
"Scott Pruett"	0.0639919
"Manny Fernandez"	0.0637885
"Jeff George"	0.0630222
"Bruce Smith"	0.0630163
"Joe Hamilton"	0.062318
"Tony George"	0.0620956
"Antonio Freeman"	0.0618272
"Ricky Williams"	0.0617952
"Brenden Morrow"	0.0616462
"Darren Woodson"	0.0616066
"Zach Thomas"	0.0615507
"Ron Artest"	0.0608632
"Regina Jacobs"	0.0605212
"Herschel Walker"	0.0603868
"Sidney Ponson"	0.0603387
"Greg Ellis"	0.0602672
"Chris Drury"	0.0602544
"Guo Jingjing"	0.0594766
"Billy Boat"	0.0592988
"Tyrone Wheatley"	0.0589647
"Alex Zanardi"	0.0585269
"Tim Dwight"	0.0582759
"Manny Legace"	0.0582518
"Gus Frerotte"	0.0582402
"Moses Tanui"	0.058125
"Cade McNown"	0.0575053
"Tony Dorsett"	0.0574032
"Dat Nguyen"	0.0573584
lemming	0.057189
"Ty Detmer"	0.0571572
"Hu Weidong"	0.0571394
"Koji Ito"	0.0570499
"Gil Meche"	0.0569517
"Kenny Rogers"	0.0568814
"Winning Colors"	0.0568569
Briere	0.0565853
"John Conyers Jr."	0.0564025
"David Boston"	0.0562661
"Rickey Henderson"	0.0558335
"Al Unser Jr."	0.0555891
"John Avery"	0.0555136
"Brad Miller"	0.0552513
"Drew Bledsoe"	0.0552245
"Robert Edwards"	0.0549726
"Marcel Desailly"	0.0545546
"Kevin Faulk"	0.0540449
"Larry Nelson"	0.0538767
"Keyshawn Johnson"	0.0536462
"Andre Rison"	0.0536123
"Brett Hinchliffe"	0.0536021
"Manny Malhotra"	0.0532484
"Eric Gagne"	0.0531589
"Tyrone Nesby"	0.052978
"Bjarne Riis"	0.0529248
"Spencer Abraham"	0.0528607
"Kenny Brack"	0.0525903
"Marshall Faulk"	0.0525518
"Larry Brown"	0.0525477
"Wally Szczerbiak"	0.0524788
"Cris Carter"	0.0524563
"John Snyder"	0.0523561
"Richard Hatch"	0.0521901
"Leon Smith"	0.0520507
"Elvis Grbac"	0.0520152
"Jamie Moyer"	0.0520115
"Tom Kite"	0.0519343
"Edie Falco"	0.051852
"Ramon Ortiz"	0.0517585
"Russ Ortiz"	0.0516532
"Jin Ho Cho"	0.0515674
"Miguel Indurain"	0.0513468
"Alexandra Meissnitzer"	0.0511998
"Charlie Ward"	0.0511547
"Peter Warrick"	0.0509433
"John Halama"	0.050896
"Ryan Glynn"	0.0508226
"Adrian Griffin"	0.0508168
"Don Sutton"	0.0506527
"Kevin Johnson"	0.0506364
"Michael Andretti"	0.0505154
"Toby Bailey"	0.0504005
Malek	0.0503551
"Brian Rose"	0.0502418
"HANK KUEHNE"	0.0502256
"Tony Stewart"	0.0499391
"Todd Husak"	0.0497817
"Desert Hero"	0.0496599
"Juwan Howard"	0.0496232
Artest	0.0496087
"Kyle Brady"	0.0495827
"Chris Johnson"	0.0495073
"Aaron Sele"	0.0493661
"Rolando Arrojo"	0.0493642
"Andre Braugher"	0.0492872
"Beautiful Pleasure"	0.0491589
"Eric Milton"	0.0491567
"Solomon Page"	0.0490322
"Fu Mingxia"	0.0490058
"Casey Martin"	0.0489895
"Terrence Long"	0.0489582
"Fan Zhiyi"	0.0489055
"A.P Indy"	0.0488623
"Thomas Stangassinger"	0.0488152
"Ricky Watters"	0.0487886
"Dominique Wilkins"	0.0487337
"Touch Gold"	0.0487191
"Shawn Marion"	0.0484405
"Patrik Stefan"	0.0483785
"Alex Zuelle"	0.048357
"Ricky Rudd"	0.048335
"Chad Pennington"	0.04833
"Warren Sapp"	0.0482548
"JEVON KEARSE"	0.0482373
"Paul Pierce"	0.0482224
"Mark Madsen"	0.048021
"Drew Henson"	0.0479301
"Ernie Mills"	0.0479005
"Angel Pena"	0.047891
"Scott Goodyear"	0.0478698
"Pat Hurst"	0.0478567
"Chad Brown"	0.0478166
"Seth Etherton"	0.0477822
"J.R Redmond"	0.0475144
"Brian Bohanon"	0.0473608
"Bruce Fleisher"	0.0472217
"Woody Williams"	0.047211
"Daryl Johnston"	0.0470414
Moeller	0.0469993
"Hidetoshi Nakata"	0.0469156
"Dan Cloutier"	0.0468895
))
(Charleston (desc 20907) (sims
Greenville	0.148626
Albany	0.139128
Raleigh	0.125204
Minneapolis	0.123913
"San Francisco"	0.123634
"Fort Worth"	0.122541
Nashville	0.121987
"Little Rock"	0.121856
Savannah	0.121163
"Des Moines"	0.12077
Wilmington	0.120246
Rochester	0.119779
Honolulu	0.119263
Tampa	0.118629
"West Palm Beach"	0.117364
Macon	0.117209
"San Juan"	0.114269
"Los Angeles"	0.112906
"St. Petersburg"	0.112885
"New Orleans"	0.112772
Memphis	0.112503
Richmond	0.112387
Spokane	0.112134
Spartanburg	0.111845
"Kansas City"	0.111431
Austin	0.111341
Philadelphia	0.108879
Norfolk	0.108769
"San Antonio"	0.108302
"Oklahoma City"	0.106999
"Fort Lauderdale"	0.106936
Chicago	0.106699
Columbus	0.106059
"Mexico City"	0.105903
Orlando	0.105808
Tucson	0.105796
anchorage	0.10569
Hartford	0.1051
Denver	0.105096
Albuquerque	0.105031
Boston	0.104864
TALLAHASSEE	0.104644
Phoenix	0.104631
Portsmouth	0.103392
"New Haven"	0.10335
Houston	0.103277
Omaha	0.103079
TRENTON	0.103035
Birmingham	0.102882
Springfield	0.102571
Baltimore	0.102478
"Baton Rouge"	0.102278
"Myrtle Beach"	0.102137
Lubbock	0.101971
BOGOTA	0.101699
"New York City"	0.101239
Atlanta	0.100618
Camden	0.100331
Manchester	0.10033
"Salt Lake City"	0.0999253
"San Jose"	0.0995098
Indianapolis	0.0993966
CARACAS	0.0992573
Newark	0.0992024
"Santa Fe"	0.0991436
Auckland	0.0990623
Akron	0.0985799
"San Diego"	0.0978707
Seattle	0.097737
"Cape Town"	0.0977101
"St. Louis"	0.0970018
Dallas	0.0968777
Morristown	0.0968344
Miami	0.0963488
"New York"	0.0954258
Concord	0.0949203
"Tel Aviv"	0.0945138
Milwaukee	0.0943491
Harrisburg	0.0943167
"Las Vegas"	0.0942975
"El Paso"	0.0942788
Dublin	0.0942129
Providence	0.0940949
Detroit	0.0933215
Louisville	0.0932398
Cincinnati	0.0930255
"Atlantic City"	0.0927029
Alexandria	0.0925963
Beaumont	0.0925344
Chattanooga	0.0924957
Augusta	0.0923659
Naples	0.0921567
LONDON	0.0917375
Jacksonville	0.0915392
Pristina	0.0913638
Gainesville	0.0911001
Brunswick	0.0910851
Dili	0.0908938
"Jersey City"	0.0907748
Belfast	0.0907623
Acapulco	0.0906702
Havana	0.0906182
"Key West"	0.0904896
Dayton	0.0903657
Greenwich	0.0903524
Paris	0.0902132
Cambridge	0.0901798
Florence	0.0896896
Pittsburgh	0.0895256
"Daytona Beach"	0.0893971
Huntsville	0.0887384
Portland	0.0886618
Galveston	0.0883685
Prague	0.0882382
"Palm Beach"	0.0878814
Amman	0.0878294
Boise	0.0876977
"Long Beach"	0.087487
"Garden City"	0.0874454
Newport	0.0873143
Greensboro	0.0871571
"Santo Domingo"	0.0871362
Madison	0.0869131
Charlotte	0.0866117
Syracuse	0.0865438
"Sao Paulo"	0.0864246
Jasper	0.0860925
Buffalo	0.0855017
Lima	0.0853357
JOHANNESBURG	0.085318
Berkeley	0.0852778
Washington	0.0850911
Shreveport	0.0848757
Flagstaff	0.0848546
Utica	0.0844859
"Virginia Beach"	0.0844484
Bridgeport	0.0843654
Rome	0.0843623
Sarasota	0.0843252
Cleveland	0.0842171
"Buenos Aires"	0.084192
Port-au-Prince	0.0840274
"Grand Rapids"	0.0840217
Worcester	0.0839703
Columbia	0.0838891
"Miami Beach"	0.0838022
Montgomery	0.0833518
"White Plains"	0.0833023
Plattsburgh	0.083273
Taipei	0.0831759
L.A	0.0829064
Montreal	0.0828992
Pasadena	0.0826034
Istanbul	0.0825155
WARSAW	0.0823302
"Colorado Springs"	0.0822703
Vienna	0.0818059
Plano	0.0817204
Youngstown	0.0816491
CAIRO	0.0812466
Lexington	0.0811255
Chappaqua	0.0808356
"Palo Alto"	0.0808025
Amarillo	0.0805783
Hillsboro	0.0805411
Northampton	0.0805403
Monrovia	0.0805201
Fresno	0.0804994
Quito	0.0804853
BUDAPEST	0.0804706
Brownsville	0.0804274
Suva	0.0804261
Knoxville	0.0803881
"Santa Monica"	0.0803413
Wichita	0.0803391
Beirut	0.0801551
Odessa	0.0800492
Berlin	0.0800051
ASHEVILLE	0.0799396
Murmansk	0.0797608
Santiago	0.0797449
Sacramento	0.079702
Halifax	0.0796467
ATHENS	0.0796346
Matamoros	0.0795518
Schenectady	0.079468
Vancouver	0.0794586
Stamford	0.0794099
SEOUL	0.079335
Annapolis	0.0793261
"Phnom Penh"	0.079267
Calcutta	0.0792566
Manhattan	0.0790728
Amsterdam	0.0789795
Manila	0.0787715
"Saratoga Springs"	0.0786976
Munich	0.078495
Winnipeg	0.0784326
Laramie	0.07839
Tacoma	0.0779111
))
(Charlestown (desc 3716.8) (sims
Dorchester	0.188958
Braintree	0.16692
Framingham	0.144284
Holyoke	0.136179
Roxbury	0.133002
Hopkinton	0.124539
Waltham	0.123854
"East Los Angeles"	0.122836
Medford	0.120477
Westfield	0.118252
Somerville	0.115321
Pittsfield	0.114961
"Fall River"	0.10834
Brockton	0.108181
Falmouth	0.107108
Needham	0.106165
Walpole	0.105524
"Woodland Hills"	0.103031
Chatham	0.102897
Quincy	0.10114
Gloucester	0.100816
"Little Italy"	0.100466
Norcross	0.0996676
Woburn	0.0993939
"North Hollywood"	0.0990281
Bensonhurst	0.0980377
"Long Island City"	0.0972979
Williamstown	0.0966143
Northampton	0.095521
"Washington Heights"	0.095454
Hillsboro	0.0953633
Alpharetta	0.0951469
Brookline	0.0948353
Cambridge	0.093651
Montclair	0.0936485
Watertown	0.0930686
"Stone Mountain"	0.0926183
"Hyde Park"	0.0922627
Wellesley	0.0917694
"New Bedford"	0.0917197
Salem	0.0915837
Encino	0.09144
Lawrenceville	0.0909253
Milford	0.0901246
"Red Hook"	0.0899687
"Highland Park"	0.0898364
"Brighton Beach"	0.0894452
"North Beach"	0.0891571
Flushing	0.0876346
Acton	0.0866864
"La Jolla"	0.0866704
"South Bronx"	0.0864679
"Delray Beach"	0.0862307
"Westlake Village"	0.0860831
Buckhead	0.0854656
"Van Nuys"	0.0853175
Hollis	0.0852293
Bronx	0.0851464
Astoria	0.0851272
Farmington	0.0846201
Morristown	0.0844383
"Hell's Kitchen"	0.0843329
"East St. Louis"	0.0836589
"South Boston"	0.0836069
Englewood	0.0830631
Riverdale	0.0828717
Plymouth	0.0828458
Claremont	0.0828455
Portsmouth	0.0827616
Brentwood	0.0824092
LAKEWOOD	0.0822883
Bridgewater	0.0819031
Ridgewood	0.0817794
Middletown	0.0817167
"East Boston"	0.0809256
"Palo Alto"	0.0808475
Dover	0.0806352
"Studio City"	0.080479
Dunwoody	0.0799708
Worcester	0.0798329
"Crown Heights"	0.0796338
Amherst	0.0795962
"Boynton Beach"	0.0795897
Lenox	0.0795098
Melrose	0.0785398
ASHEVILLE	0.0785314
Maynard	0.0783833
Longview	0.078245
Yonkers	0.0779299
"New Haven"	0.0778035
Fremont	0.0775278
"East Harlem"	0.0774434
Brooklyn	0.0774006
bethel	0.0772593
Marlborough	0.0771502
Scarsdale	0.0770995
ATTLEBORO	0.0765402
Chatsworth	0.0763122
Greenville	0.0762506
Tarzana	0.0761735
Elmira	0.0761056
"South San Francisco"	0.0758911
Paterson	0.0758544
Stockbridge	0.0758089
Peterborough	0.0758009
"Lake Worth"	0.0757805
Burlingame	0.0757633
BRIGHTON	0.0756712
Barrington	0.0754217
Derry	0.0747157
Groton	0.074403
Greenwich	0.0742646
Camden	0.0739094
"East Orange"	0.0737846
Mansfield	0.0735486
Decatur	0.0730346
Wallingford	0.0729211
Jamestown	0.0728659
Bedford-Stuyvesant	0.0727725
Harlem	0.0727546
Nashua	0.0723498
Norwalk	0.0718419
Wilmington	0.0717142
"Thousand Oaks"	0.0715781
Cupertino	0.0715632
"Overland Park"	0.0715462
Bedford	0.071445
"Saratoga Springs"	0.071268
"Fort Worth"	0.0707575
Plano	0.0706953
Aberdeen	0.0705649
Bridgeport	0.0704337
"East New York"	0.0702326
Amarillo	0.0698998
"San Fernando Valley"	0.0697697
Hoboken	0.0693918
"Myrtle Beach"	0.0693885
Exeter	0.0691766
"Park Slope"	0.0688547
"White Plains"	0.0683859
Beaumont	0.0683469
Youngstown	0.0682923
Westport	0.0680681
Pacoima	0.0679039
"Newport Beach"	0.0676066
Marietta	0.0674663
Pawtucket	0.0673445
Newton	0.0672625
Dublin	0.0672366
"Culver City"	0.066876
"Walnut Creek"	0.0666963
Macon	0.0665937
Tacoma	0.0663556
"Forest Hills"	0.0663174
Danville	0.0660456
Andover	0.0657842
Paducah	0.0655846
"Greenwich Village"	0.0655357
Arlington	0.0654801
"Jersey City"	0.0654264
Greenfield	0.0654179
"West Palm Beach"	0.0652602
Smithfield	0.0652189
"New London"	0.0650794
Lubbock	0.0650633
Roswell	0.0650167
Sunnyvale	0.0649454
Chappaqua	0.0648564
Williamsburg	0.064739
Tribeca	0.0645309
Brownsville	0.0645185
Emeryville	0.0645036
Newark	0.0642248
Burlington	0.0641272
Concord	0.0641051
Winchester	0.0640084
Gadsden	0.0639818
Queens	0.0638846
Lakeland	0.063782
"Santa Monica"	0.0635117
Hanover	0.0634414
"College Park"	0.0634404
Kensington	0.0633746
Tempe	0.0632403
Denton	0.0632021
"Borough Park"	0.0631971
"Mountain View"	0.0631522
Omaha	0.0628958
Malden	0.0628137
Bloomington	0.0627667
Bloomfield	0.0625167
Deerfield	0.0624933
Chinatown	0.0624252
"Baton Rouge"	0.0623788
Spokane	0.0622697
"Staten Island"	0.0622323
Cumberland	0.0620337
Springfield	0.0619518
"Palm Beach Gardens"	0.0619452
Flatbush	0.0618954
))
(Charley (desc 840.585) (sims
Babs	0.0845595
Lankford	0.0728961
"Hurricane Hugo"	0.0705633
thou	0.0697453
Hugo	0.0647878
Dunne	0.0641063
Bret	0.0616142
Laettner	0.0604684
Mucha	0.0601007
rainforests	0.0599831
Cink	0.0582075
Reel.com	0.057874
teardrop	0.057255
spinster	0.0572083
Byrdsong	0.0566682
Vicki	0.0565261
Gump	0.0559669
"virgin forest"	0.0549023
rainforest	0.0548111
Shulman	0.0546895
"Hurricane Andrew"	0.0540578
Gerstner	0.0535897
Meng	0.052507
Bonnie	0.0522933
"Gore Vidal"	0.0512398
Jessica	0.0512339
Eli	0.0500049
Washingtonian	0.0493076
"Nancy Lopez"	0.0487995
"JFK Jr."	0.0487359
"Night Fever"	0.0486328
"house painter"	0.0485811
Longo	0.0485438
Forrest	0.0484955
Lileikis	0.0480981
Zeb	0.0479816
"fruit salad"	0.0479707
Fryman	0.0479516
"Leigh Ann"	0.047379
Veerappan	0.0471098
"bubonic plague"	0.046945
EX-COMMUNISTS	0.0464437
"Xanana Gusmao"	0.0463832
McMullen	0.046378
whistle-blowers	0.045992
bastard	0.0457784
ancients	0.0457131
"North Africans"	0.0456005
Edwin	0.0455947
"farm boy"	0.0452435
Ochoa	0.0450248
Mahomes	0.0449691
powerboat	0.0449425
Phelan	0.0449012
Rueter	0.0446526
"Russell Peeler"	0.0443689
Otto	0.0440868
"Aaron Glenn"	0.0440816
Jose	0.043982
waterlily	0.0436973
Stephanie	0.0436954
Deneuve	0.0436559
Laudor	0.043652
Kurth	0.0436401
Cobain	0.0435231
Biggs	0.0432812
ISABEL	0.0432411
"blind man"	0.043151
Lollar	0.0430881
major-leaguers	0.042995
Joshua	0.0429882
"American plane"	0.0426275
Ben-Ami	0.0425417
"Kareem Kelly"	0.0425148
Rea	0.0424032
Maslyukov	0.0422888
Andreessen	0.0422263
Dominguez	0.0421541
Nemtsov	0.0421268
Basayev	0.0420685
Bartley	0.0419233
"Brooke Shields"	0.0419127
Danka	0.0416671
Shinn	0.0416382
Mikhailov	0.0416172
Ciampi	0.0415521
Karimov	0.0415097
Brogna	0.0414959
Furcal	0.0414934
Levinson	0.0414782
"Ante Razov"	0.0413923
Shriver	0.0413853
"Lei Feng"	0.0413751
Hick	0.0413083
Nakata	0.0411227
"Brierley Investment"	0.0411136
Yates	0.0409998
"Steve Beuerlein"	0.0409883
plankton	0.0409445
"Boutros Boutros Ghali"	0.0409283
Thibault	0.0408757
gloria	0.0407863
"Eastman Kodak Co."	0.0406765
Winn	0.0406594
heatwave	0.0405812
Raduyev	0.0404566
Mendez	0.0404416
Lacresha	0.0404071
Supercenters	0.0403859
Flockhart	0.0402064
Fordice	0.0401471
theglobe.com	0.040007
))
(Charlie (desc 15639.8) (sims
Larry	0.108247
tom	0.103321
Jim	0.0972456
Steve	0.0972218
Phil	0.0971695
Ted	0.0958306
Kevin	0.0946499
Joe	0.0945269
Bobby	0.0942688
Fred	0.0925096
Paul	0.0908922
mike	0.0902197
Dave	0.0897886
Steven	0.0891606
Jerry	0.0885503
Jimmy	0.0885214
Michael	0.0879217
Roger	0.0877863
Jeff	0.0869567
Randy	0.0868802
Tim	0.0851055
Brian	0.0846097
Ben	0.0840248
jack	0.0839244
Bruce	0.0833406
Ed	0.0831408
Jason	0.0830103
Gary	0.082157
Charles	0.0812073
John	0.0809228
Danny	0.08085
David	0.0807863
Harry	0.0806445
Ron	0.0805661
Doug	0.0802236
Jon	0.0801026
Gerald	0.0791679
Eric	0.0791073
Robert	0.0786518
matt	0.0786446
Ken	0.0785369
BOB	0.0785295
Chris	0.0784167
Greg	0.0780073
Keith	0.077279
Rick	0.0772199
Sam	0.076604
Jamie	0.0760841
Alan	0.0759707
Terry	0.075941
Frank	0.0759026
Carl	0.0755776
Peter	0.0749453
Ralph	0.0743141
Walter	0.0742276
Willie	0.0741015
Adam	0.0736668
Jacob	0.073088
Ronald	0.0728138
Joel	0.0727329
Derek	0.0725621
George	0.0724697
Jeremy	0.0721873
Jake	0.0717739
Dan	0.0716675
Wayne	0.0716588
Jonathan	0.0715951
Tony	0.0710444
Dennis	0.0708034
Kenny	0.0703998
Jeb	0.0702049
don	0.0700078
Evan	0.0699595
Brad	0.069712
Marty	0.0696872
Sean	0.0694237
Richard	0.0692329
Shawn	0.0692011
Hank	0.0690394
Shane	0.0689422
Tommy	0.0688943
Craig	0.0688782
William	0.0687557
jay	0.0686429
Pedro	0.0683263
Johnny	0.0680068
Carlos	0.0674458
Alex	0.0672862
Josh	0.0672585
Matthew	0.0664344
Billy	0.0663654
Jackie	0.0661107
Patrick	0.0659174
Anthony	0.0656224
Justin	0.0654617
Todd	0.0650789
James	0.0650594
Joey	0.0644197
Robbie	0.0643264
Stephen	0.064134
timothy	0.0639753
Jesse	0.0638164
Ramon	0.0636058
Henry	0.063542
Eddie	0.0634755
Mario	0.0634424
Kyle	0.0633578
Byron	0.0633482
Andy	0.0629639
Theo	0.062794
Reggie	0.0627895
Pam	0.0627516
Ryan	0.0626907
Bernie	0.062525
Edward	0.062439
Barry	0.0622688
Chuck	0.0621428
Neil	0.0620554
Julian	0.0617759
Pete	0.0617711
nick	0.0617506
Roy	0.0615936
Marc	0.061575
Bryan	0.0611657
Hugh	0.0611308
Daniel	0.0609718
Nathan	0.0607371
Juan	0.0607179
pat	0.0606819
Darryl	0.0606167
Vincent	0.0605543
Maurice	0.0602083
Arthur	0.0596486
Eli	0.0594028
Brett	0.0591556
Vladimir	0.0591551
Andrew	0.0588931
Wyatt	0.0588657
Adrian	0.0587495
Joshua	0.0586093
Susan	0.0585116
Samuel	0.0584351
Earl	0.0582981
Brandon	0.0582397
Nate	0.0581972
Aaron	0.0581041
Scott	0.0580972
Ricky	0.0580391
"George W."	0.0578674
Owen	0.0574517
Leo	0.0574032
Casey	0.0572086
Karl	0.0570209
Trevor	0.0570003
Omar	0.0569539
Albert	0.0568806
Brock	0.0568408
Max	0.0568216
Raymond	0.0567333
Jamal	0.056646
Antonio	0.0564032
Louis	0.0562555
Noel	0.0560563
Marcus	0.0559767
Dom	0.0557942
Sarah	0.0557468
Connie	0.0555502
Harvey	0.0552152
Lisa	0.0551622
Laura	0.0546681
Simon	0.0544607
STUART	0.0543979
Michelle	0.0542393
Damon	0.0535816
dad	0.0534857
Joseph	0.053396
Robin	0.0532366
Kurt	0.0531549
Harold	0.052998
Sonny	0.0528183
Spielberg	0.052773
J.J	0.0526912
Julia	0.052646
Roberto	0.0525681
Gerard	0.0525043
Lou	0.0524423
Kenneth	0.0523008
Manuel	0.0522892
Thomas	0.0519262
Courtney	0.0519241
Jeffrey	0.0518767
"Charlie Brown"	0.0515933
Ian	0.0515279
Cameron	0.0514725
Marvin	0.0514515
dick	0.0511525
sandy	0.0510458
Jose	0.0510368
Jimy	0.0510192
dale	0.0508263
))
("Charlie Batch" (desc 2295.54) (sims
"Todd Husak"	0.230256
"Trent Green"	0.224627
"Trent Dilfer"	0.213435
"Ryan Kealy"	0.211492
"Elvis Grbac"	0.204885
"Brian Griese"	0.203609
"Scott Mitchell"	0.193786
"Glenn Foley"	0.181546
"Tony Graziani"	0.180622
"Jarious Jackson"	0.177858
"Doug Pederson"	0.175645
"Rodney Peete"	0.171795
"Bobby Newcombe"	0.169597
"Gus Frerotte"	0.167069
"Ty Detmer"	0.164562
"Warren Moon"	0.162598
"Dave Brown"	0.159995
"Bobby Hoying"	0.155589
"HERMAN MOORE"	0.153371
"Rich Gannon"	0.152914
"Erik Kramer"	0.15249
"Jake Plummer"	0.149926
"Brock Huard"	0.148088
"Mike Van Raaphorst"	0.147354
"Daunte Culpepper"	0.145759
"Brad Johnson"	0.142797
"Jim Druckenmiller"	0.142499
"Ryan Leaf"	0.142494
"Jeff Weaver"	0.140598
"Tom Brady"	0.140305
"Chris Weinke"	0.136243
"Doug Johnson"	0.134589
"Rob Johnson"	0.134109
"Kordell Stewart"	0.133824
"Mark Brunell"	0.132187
"Carson Palmer"	0.127108
"Michael Bishop"	0.126125
"JOHN FRIESZ"	0.125211
"Tony Banks"	0.12426
"Quincy Carter"	0.123992
"Damon Huard"	0.123921
"Shaun King"	0.123389
"Scott Zolak"	0.122979
"Danny Kanell"	0.11901
"Chris Chandler"	0.118378
"Neil O'Donnell"	0.11832
"Tee Martin"	0.118012
"Donovan McNabb"	0.117013
"Steve McNair"	0.115339
"Jeff George"	0.113528
"Jim Harbaugh"	0.11333
"Brian Moehler"	0.112903
"Tim Couch"	0.112251
"Jeff Blake"	0.111919
"Fred Taylor"	0.111914
"Chris Osgood"	0.111137
"Jeff Garcia"	0.11101
"Major Applewhite"	0.10995
"Drew Bennett"	0.109271
"Jamal Lewis"	0.107008
"Akili Smith"	0.106889
"Steve Beuerlein"	0.106832
"Ronnie Bradford"	0.106586
"Peyton Manning"	0.106217
"Keith Brooking"	0.104403
Kanell	0.104307
"Marcus Outzen"	0.104116
"Kent Graham"	0.104044
"Kerry Collins"	0.103135
"Joe Hamilton"	0.101902
"Cade McNown"	0.101742
"Chad Pennington"	0.101171
"John Snyder"	0.101124
"Jon Kitna"	0.101013
"Ryan Glynn"	0.100383
"Greg Ellis"	0.100061
"Drew Henson"	0.0989088
"Byron Hanspard"	0.0975536
"John Fox"	0.097383
"Jose Jimenez"	0.0972369
"Paul Justin"	0.0963985
"Norm Maracle"	0.0959845
"Windrell Hayes"	0.0955582
"Steve Park"	0.0946993
"John Avery"	0.0945713
Griese	0.0944931
"Chris Claiborne"	0.0940265
"Cory Paus"	0.0935853
"Jack McDowell"	0.0933695
"Drew Bledsoe"	0.0929343
"Jesus Sanchez"	0.092452
"Kevin Williams"	0.092433
"Michael Booker"	0.0922194
"BRIAN MEADOWS"	0.0921456
"Rick Mirer"	0.0918101
"Vinny Testaverde"	0.0913748
"Flozell Adams"	0.0911633
"Russ Ortiz"	0.091157
Weinke	0.0907999
"Tim Dwight"	0.0905045
"Kevin Faulk"	0.0903797
"Brian Rose"	0.0900786
"Eric Zeier"	0.0899269
"Randall Simon"	0.0897655
"Troy Aikman"	0.089739
"Keith Smith"	0.0897202
"Barry Sanders"	0.0887589
"Ryan McCann"	0.0885812
Brunell	0.0880172
"Eric Milton"	0.0877328
"DeShaun Foster"	0.0875441
"Brett Favre"	0.0871343
"Bryce Florie"	0.0869952
"Freddy Garcia"	0.0865834
"Wane McGarity"	0.0860911
"Gil Meche"	0.0860172
"Bubby Brister"	0.0859962
"Javier Vazquez"	0.0855518
"Henri Crockett"	0.0854467
"Michael Olowokandi"	0.0853386
"Jason Sehorn"	0.0846724
"Tyrone Nesby"	0.0845105
"Kevin Hartman"	0.0841619
"Van Raaphorst"	0.0841314
"Frank Sanders"	0.0839017
"Michael Wiley"	0.0837062
"Sidney Ponson"	0.0836802
"Danny Wuerffel"	0.0829188
"Paul Abbott"	0.0826028
"Steve Young"	0.0824912
"Randall Cunningham"	0.0820603
Grbac	0.0814945
"Jim Parque"	0.0813902
"Robert Edwards"	0.0808613
"Solomon Page"	0.0807014
"Angelo Peruzzi"	0.0806676
"Tony Simmons"	0.0804202
"David LaFleur"	0.0793882
"Tebucky Jones"	0.0793095
"Jason Garrett"	0.0792976
"Brett Hinchliffe"	0.0792959
"Jermaine Lewis"	0.0789739
"Shawn Estes"	0.078923
"Ramon Ortiz"	0.0784914
"Chris Simms"	0.0779561
"Phil Simms"	0.0779462
"Jason Fabini"	0.0775
"Bonzi Wells"	0.0767623
"Tyronn Lue"	0.0761429
"Jin Ho Cho"	0.075399
"Everett McIver"	0.0752906
"Dan Marino"	0.0749444
"Mike Bibby"	0.0748639
"L.J Shelton"	0.0748514
"Tim Hudson"	0.0747257
"Alan Henderson"	0.0742331
"Odalis Perez"	0.0739635
"Travis Hall"	0.0735398
"Bruce Chen"	0.0733011
"Adrian Murrell"	0.0731532
"Stephane Fiset"	0.0729636
"Leon Johnson"	0.0721844
"Matt Morris"	0.0721752
"Sheikh Saad"	0.0720914
"Pat Rapp"	0.0719945
Applewhite	0.0718468
DeBerg	0.0711855
"Brad Penny"	0.0708886
Aikman	0.0708339
"Brett Tomko"	0.0702976
"Eric Gagne"	0.0700976
"Champ Bailey"	0.0698073
"Tiki Barber"	0.0698006
"Jamie Moyer"	0.0696297
"Jamie Arnold"	0.0695799
"Brian Skinner"	0.0695616
"Michael Myers"	0.069371
"Mark Madsen"	0.069309
"Charles Woodson"	0.0692251
"Terry Glenn"	0.069091
"Michael Vick"	0.0688792
"Kent Mercker"	0.0687375
"Tony George"	0.0683036
"Derrick Mayes"	0.0683028
Paus	0.0683005
Cormier	0.0680888
"Ed Yarnall"	0.0678951
"J.D Drew"	0.0677455
"Armando Reynoso"	0.0677072
"Ryan Dempster"	0.0676633
"Kerry Ligtenberg"	0.0670648
"Adrian Griffin"	0.066971
"Ty Law"	0.0669349
"Dan Gadzuric"	0.0669209
"Gary DiSarcina"	0.0668342
"Chris Carpenter"	0.0668214
"Juan Encarnacion"	0.0666516
"Woody Williams"	0.0666328
"Ortege Jenkins"	0.0664505
"Ephraim Salaam"	0.0663376
))
("Charlie Brown" (desc 5937.5) (sims
Linus	0.179309
Snoopy	0.119928
Lucy	0.075841
"comic strip"	0.0661748
Archie	0.06345
Kate	0.0625106
Dilbert	0.0622694
"Tinky Winky"	0.0600621
Popeye	0.0597358
"Murphy Brown"	0.0596205
Scarpetta	0.0595727
rocky	0.0594996
"Howdy Doody"	0.0592088
"Jar Jar Binks"	0.0580035
Ozzie	0.057878
Nietzsche	0.0575585
Ricky	0.0558249
Dorothy	0.0556639
Selena	0.0542417
Lucille	0.0537902
"Love Boat"	0.0534299
"Mickey mouse"	0.0533514
Vinny	0.0531556
Buffy	0.0527024
Elmo	0.0521951
"Sherlock Holmes"	0.0519698
Hank	0.0518043
Stella	0.0516636
Charlie	0.0515933
Rockettes	0.0513726
Sparky	0.0512628
Midler	0.0511476
Harry	0.0509725
Mahomes	0.0508772
Bess	0.0499442
Rugrats	0.0493634
Doug	0.0493363
Pecker	0.0491266
Abbie	0.0490611
Simpsons	0.0489313
"waiting game"	0.0488963
Barbie	0.0488326
"Jekyll and Hyde"	0.0484941
Lecter	0.048494
"Peter Pan"	0.0480326
"South Park"	0.048002
"The Sopranos"	0.0479485
Cleese	0.047672
BEA	0.0475527
bloke	0.0472537
"George W."	0.0472316
Sammy	0.0471496
Momma	0.0470651
"Sesame Street"	0.0468763
Regis	0.0467379
imp	0.0466605
Danny	0.0463274
"Robin Hood"	0.0462946
Calvin	0.0461115
"CHARLES SCHULZ"	0.046082
"Bugs Bunny"	0.0459306
Hentgen	0.0456921
Vinatieri	0.0456264
Rhonda	0.0455063
Woody	0.0453593
Superman	0.0451055
Janikowski	0.0450435
Winnie	0.0449633
mermaid	0.0448483
Nate	0.0447771
Pooh	0.0445968
DiCaprio	0.0444698
Barney	0.0443918
"little girl"	0.0442814
Carrie	0.044251
Willie	0.0442355
anime	0.0441616
Fubu	0.0441366
Grbac	0.0439542
Billy	0.0439519
Brazill	0.043817
Schulz	0.0434305
"Jerry Seinfeld"	0.0433465
"little boy"	0.0432801
Tommy	0.0430947
"Homer Simpson"	0.0430632
Arthur	0.0430098
Phish	0.0427709
Eric	0.0423856
Tarzan	0.0423696
Cepeda	0.0422878
"Cosby Show"	0.0421375
"Luke Skywalker"	0.0420826
Larry	0.0420433
Trudeau	0.0419902
"Parker Bowles"	0.0419817
"Patsy Ramsey"	0.0418312
"Law &AMP; Order"	0.0418028
Joey	0.0417611
"Donald duck"	0.0415639
Freddie	0.0415264
Dolly	0.0412429
Braugher	0.0411291
Catherine	0.0410704
"Frank Sinatra"	0.0410466
becky	0.0409512
"Harry Potter"	0.040793
earthling	0.0407854
Dexter	0.0407726
"Benjamin Franklin"	0.0407288
Seinfeld	0.040668
Jacke	0.0405721
Rudy	0.0405088
Blondie	0.0403257
"James Bond"	0.0402657
"Peter Warrick"	0.0401619
Peter	0.0401321
))
("Charlie Chaplin" (desc 3822.92) (sims
"Mary Pickford"	0.194317
"Billy Wilder"	0.124958
"Buster Keaton"	0.11684
"Cary Grant"	0.108788
"W.C. Fields"	0.0936345
"Marilyn Monroe"	0.0902742
"Bing Crosby"	0.0898381
"John Waters"	0.0874695
"Jimmy Stewart"	0.0815829
Chaplin	0.0802302
"William Randolph Hearst"	0.0786763
"Marlon Brando"	0.0778949
"John Wayne"	0.0773796
"Orson Welles"	0.0747763
"Katharine Hepburn"	0.0722552
"Errol Flynn"	0.069938
"Lucille Ball"	0.0699057
"Akira Kurosawa"	0.0692326
"Humphrey Bogart"	0.0688445
"Sammy Davis Jr."	0.0682878
"Clark Gable"	0.0677501
"Fred Astaire"	0.0665669
"P.T Barnum"	0.0642209
"Woody Allen"	0.0632331
"James Dean"	0.0631891
"Gene Kelly"	0.0631738
"Kirk Douglas"	0.0609417
"Gary Cooper"	0.0596373
"Marlene Dietrich"	0.059531
"Elizabeth Taylor"	0.0592892
"Mae West"	0.0592764
"Bob Hope"	0.0586869
"Judy Garland"	0.0584716
"Marx Brothers"	0.0574165
"Jack Dempsey"	0.0569153
"Jackie Chan"	0.0564956
"Billie Holiday"	0.0561441
"Frank Capra"	0.0556264
"Spike Lee"	0.0548865
"John Huston"	0.0542781
"Dean Martin"	0.0539887
"Alfred Hitchcock"	0.0538977
"Winston Churchill"	0.053738
"Ernest Hemingway"	0.0533411
"Dwight D. Eisenhower"	0.0528754
"Jodie Foster"	0.0527141
"Neil LaBute"	0.0514719
"Hugh Grant"	0.0513893
"Indiana Jones"	0.0510106
"Lana Turner"	0.0504198
Cleese	0.0502934
"Arnold Schwarzenegger"	0.0502529
"Nat King Cole"	0.0502107
"Bette Davis"	0.0501942
"Theodore Roosevelt"	0.0497449
"department employee"	0.0497365
"Keanu Reeves"	0.0494586
"Milton Berle"	0.0494532
"Dr. Sun Yat-Sen"	0.0493641
Hirohito	0.0491092
"Vivien Leigh"	0.0488226
"Tennessee Williams"	0.0480756
"Steve Martin"	0.0479689
"James Stewart"	0.047918
"Mickey mouse"	0.0473365
"Irving Berlin"	0.0473198
"Jim Carrey"	0.0464509
"Ella Fitzgerald"	0.0458333
"Jacqueline Kennedy Onassis"	0.0455931
"George Lucas"	0.0449819
"Audrey Hepburn"	0.0449658
Englishwoman	0.0445843
"Eddie Murphy"	0.0443809
"Paul Robeson"	0.0434102
McCormack	0.0432754
"Roy Rogers"	0.0429046
"Halle Berry"	0.0428423
"Francis Bacon"	0.0427563
"Oliver Stone"	0.042747
"Roberto Benigni"	0.0423006
"John Steinbeck"	0.0422497
"Winning Colors"	0.0420217
"Martin Sheen"	0.0419946
hobo	0.0419805
"Queen Victoria"	0.0418349
"David Spade"	0.0417239
Matisse	0.0416037
Fairbanks	0.0413862
"Joe Camel"	0.0409275
"Joan Crawford"	0.0409031
Grinch	0.0408999
"Mark Twain"	0.0406473
"Burt Lancaster"	0.0406024
Carrey	0.0405672
"Norman Rockwell"	0.040511
"Mel Gibson"	0.0402602
Welles	0.0402504
"AL PACINO"	0.040077
"Adam Sandler"	0.0400617
))
("Charlie Garner" (desc 1114.01) (sims
"Ricky Watters"	0.218656
"Doug Pederson"	0.186413
"Mike Cloud"	0.18206
"Chad Morton"	0.175274
"Karim Abdul-Jabbar"	0.175045
"Trung Canidate"	0.169277
"Jerome Bettis"	0.165656
"Skip Hicks"	0.164981
"Michael Wiley"	0.160002
"Jamal Lewis"	0.158367
"Keith Brown"	0.155238
"Garrison Hearst"	0.14856
"Terry Allen"	0.148474
"Gary Brown"	0.148285
"Sedrick Shaw"	0.147934
"Adrian Murrell"	0.145647
"Dorsey Levens"	0.145639
"Byron Hanspard"	0.144027
"Shaun Alexander"	0.143792
"Tyrone Wheatley"	0.141203
"Thomas Jones"	0.140858
"Warrick Dunn"	0.139393
"Lawrence Phillips"	0.13761
"DeShaun Foster"	0.13452
"Sultan McCullough"	0.133358
"Stephen Davis"	0.131358
"Curtis Enis"	0.129787
"Tiki Barber"	0.127862
"John Avery"	0.123807
"Fred Taylor"	0.120791
"Curtis Martin"	0.120306
"Rodney Peete"	0.120181
"Chris Warren"	0.119417
"Kevin Faulk"	0.118943
"Edgerrin James"	0.118913
"Mike Alstott"	0.117769
"Leon Johnson"	0.116516
"Robert Edwards"	0.115407
"James Johnson"	0.11534
"Ron Dayne"	0.111782
"Barry Sanders"	0.111302
"James Stewart"	0.110032
"Cecil Collins"	0.10942
"Bobby Hoying"	0.109263
"Dave Wohlabaugh"	0.105287
"Thurman Thomas"	0.104927
"Herschel Walker"	0.104759
"J.R Redmond"	0.104721
"Robert Smith"	0.104065
"Emmitt Smith"	0.103952
"Neil O'Donnell"	0.102423
"Marshall Faulk"	0.102114
"Eddie George"	0.101995
"Jeff Blake"	0.100322
Toombs	0.0999409
"Walter Payton"	0.0988106
"Jeff Garcia"	0.0981482
"Yancey Thigpen"	0.0968759
"Pat Rapp"	0.0935629
"Matt Geiger"	0.092625
"Marcus Allen"	0.091338
"Kyle Brady"	0.0901539
"Bobby Newcombe"	0.0900953
"BRIAN MEADOWS"	0.0890283
"Russ Ortiz"	0.0889706
"Joe Kleine"	0.0885179
"Ron Francis"	0.0884719
"Darrick Martin"	0.0878572
"Jamal Anderson"	0.0878107
"Billy Davis"	0.0865922
"Larry Centers"	0.0864884
"Tony Dorsett"	0.0860066
Hardeman	0.0857175
"Bo Jackson"	0.0854995
"Terrell Davis"	0.0850936
"Manny Legace"	0.084592
"David Palmer"	0.0843651
"Grant Long"	0.0833183
"Mark Gardner"	0.0824506
"Charles Haley"	0.0819634
"Armando Reynoso"	0.0819558
"Jesse Orosco"	0.0819227
"Ty Detmer"	0.0813253
"Anthony Johnson"	0.0811438
"Frank Sanders"	0.0804695
"Trent Green"	0.0802271
"Woody Williams"	0.0794572
"Jermaine Lewis"	0.0788723
"Eric Dickerson"	0.0788523
"Brian Bohanon"	0.0786692
"Otis Thorpe"	0.0781624
"Kirk Rueter"	0.0778957
"John Vanbiesbrouck"	0.077203
Murrell	0.0760669
"Ricky Williams"	0.0754786
"Ronnie Bradford"	0.0753373
"Danny Kanell"	0.074972
"Randall Godfrey"	0.0747443
"Sean Bergman"	0.0737843
"Detlef Schrempf"	0.0737361
"Lamar Smith"	0.073356
"Donovan McNabb"	0.072575
"Jeff Weaver"	0.0725021
"Damon Huard"	0.0723388
"Mark Stepnoski"	0.0721496
"Clifford Robinson"	0.0716159
"Andre Rison"	0.0715636
"Brian Moehler"	0.0715614
"Samaki Walker"	0.0710455
"Derek Harper"	0.0710322
"Mark Clark"	0.0710266
"Vlade Divac"	0.0709162
"Tony Carter"	0.0708812
"Dale Carter"	0.0706008
"Jack McDowell"	0.0705272
"Isaiah Rider"	0.0697638
"Mac Suzuki"	0.0694827
"Travis Knight"	0.0692976
"Brad Penny"	0.0692723
"Todd Collins"	0.069242
"Omar Olivares"	0.0690993
"Jim Brown"	0.0690124
"Rodney Rogers"	0.0689737
"Dave Burba"	0.0688595
"Glenn Foley"	0.0688522
"Dennis Scott"	0.0685533
"Carl Pickens"	0.0685274
"John Burkett"	0.0683564
"Cliff Ronning"	0.0668149
"Fabrizio Ravanelli"	0.0667382
"Alan Henderson"	0.0666374
"Ray Evernham"	0.0665809
"Terry Porter"	0.0665661
STALEY	0.0665197
"Erik Kramer"	0.0663906
"Earl Campbell"	0.0657452
"Chris Carpenter"	0.0656674
"Doug Johnson"	0.0652763
"Keith Primeau"	0.0649562
"Joe Smith"	0.0648334
"Keith Byars"	0.0646947
Baerga	0.064318
cecil	0.0643174
Shurmur	0.0638797
"Todd Stottlemyre"	0.0633344
"Brian Rose"	0.0633217
"Javier Vazquez"	0.0631569
"Gil Heredia"	0.0626403
"Terance Mathis"	0.0625898
"Jyrki Lumme"	0.0625198
"Francisco Cordova"	0.0624721
shamrock	0.0624128
"Doug Gilmour"	0.0622782
"Rae Carruth"	0.0621545
"Sherman Douglas"	0.0620291
"Shawn Estes"	0.0619031
"Todd Husak"	0.0617474
"Cindy Parlow"	0.061714
"Vladimir Tsyplakov"	0.0615765
"Darren Oliver"	0.0615009
Goff	0.0613581
"Warren Moon"	0.0613499
"Paul Byrd"	0.0612779
"Gil Meche"	0.0612355
"Drew Bennett"	0.0612114
"Jackie Harris"	0.0611486
"Jamey Wright"	0.0610978
Faulk	0.0609524
Leetch	0.0609218
"A.C. Green"	0.0608883
"Ray Rhodes"	0.0608813
"Pat Meares"	0.0608696
"Brad Radke"	0.060821
"Steve Sparks"	0.0607763
"Brent Barry"	0.0606905
"Steve Atwater"	0.0604241
"Jim Harbaugh"	0.060174
Duchesne	0.0599628
"Quentin Coryatt"	0.0599255
"Barry Switzer"	0.0598235
"Brian Anderson"	0.0598052
"Jim Parque"	0.0595093
"Rocket Ismail"	0.0594941
"Tom Candiotti"	0.0594843
"Everett McIver"	0.0593602
"Ed McCaffrey"	0.0590465
"Raghib Ismail"	0.058953
DeShields	0.0588438
"Rob Moore"	0.058633
"Bryce Florie"	0.0581639
"Sterling Hitchcock"	0.0579443
"Billy Owens"	0.0579346
"Scott Mitchell"	0.0579338
"Mike Sirotka"	0.0576911
"Darryl Kile"	0.0575738
"Ike Austin"	0.0575721
Berasategui	0.0574815
"J.R Reid"	0.0574793
"Robin Ventura"	0.0574291
"Orel Hershiser"	0.0573118
))
("Charlie Hayes" (desc 1870.18) (sims
"Ellis Burks"	0.273672
"Russ Johnson"	0.26881
"Marvin Benard"	0.264401
"Ron Coomer"	0.263074
"Bill Mueller"	0.262594
"J.T Snow"	0.245738
"Jeff Huson"	0.238006
"Matt Franco"	0.234522
"Sean Berry"	0.23414
"Kevin Jordan"	0.232052
"Luis Lopez"	0.227524
"Mark Loretta"	0.227337
"Shane Andrews"	0.226834
"Eric Chavez"	0.225627
"Corey Koskie"	0.224129
"Lenny Harris"	0.224075
"Joe Randa"	0.224049
"Craig Paquette"	0.222149
"Ed Sprague"	0.220211
"Todd Walker"	0.219941
"Jose Hernandez"	0.218964
"Willie Greene"	0.21786
"Herbert Perry"	0.216933
"Dave Hollins"	0.216911
"Geoff Jenkins"	0.20997
"Jeff Cirillo"	0.208414
"Rich Aurilia"	0.207056
"Erubiel Durazo"	0.206868
"Jeff Kent"	0.20284
"John Mabry"	0.202283
"Shawon Dunston"	0.201699
"Tony Batista"	0.20042
"John Jaha"	0.199404
"Tyler Houston"	0.199394
"Jeff Conine"	0.199104
"Bobby Estalella"	0.197654
"Frank Catalanotto"	0.19695
"Dave Hansen"	0.19677
"Kevin Orie"	0.195279
"Bill Spiers"	0.195233
"Derrek Lee"	0.192841
"Brent Mayne"	0.192631
"Tim Bogar"	0.191536
"Scott Spiezio"	0.190443
"Tony Fernandez"	0.190401
"Luis Alicea"	0.18925
"Pat Burrell"	0.188143
"David Ortiz"	0.187986
Rolen	0.187459
"Mark Kotsay"	0.18435
"Raul Ibanez"	0.184293
"Kurt Abbott"	0.18194
"Manny Alexander"	0.181562
"Phil Nevin"	0.178753
"Brad Fullmer"	0.178703
"Clay Bellinger"	0.17747
"Todd Zeile"	0.176816
"David Dellucci"	0.175884
"Dean Palmer"	0.175816
"Shawn Estes"	0.17512
"Russ Ortiz"	0.174837
"Dave Martinez"	0.172529
"Ricky Gutierrez"	0.172057
"Daryle Ward"	0.171799
"Mickey Morandini"	0.171615
"Matt Luke"	0.171428
"Bobby Smith"	0.171269
"Eric Owens"	0.170939
"Richie Sexson"	0.169998
"Mike Lamb"	0.167775
"Scott Rolen"	0.167344
"Jeremy Giambi"	0.166595
"Joe McEwing"	0.165405
"Rondell White"	0.165373
"Royce Clayton"	0.165289
"Terrence Long"	0.164934
"Carlos Lee"	0.164157
"Doug Glanville"	0.164042
"Bobby Higginson"	0.1638
"Wilton Veras"	0.163376
"Chris Gomez"	0.163337
"John Vander Wal"	0.163292
"Matt Lawton"	0.162992
"Ray Lankford"	0.162727
"Cristian Guzman"	0.162718
Nevin	0.16265
"David Bell"	0.162602
"Barry Bonds"	0.162548
"Enrique Wilson"	0.161229
"Marquis Grissom"	0.160837
"Edgar Renteria"	0.160797
"Ray Durham"	0.160217
"Deivi Cruz"	0.159938
"Henry Rodriguez"	0.159615
"F.P Santangelo"	0.159077
"Jose Guillen"	0.159018
"Neifi Perez"	0.158986
"Fernando Tatis"	0.158969
"Chris Widger"	0.15871
"Melvin Mora"	0.158359
"Karim Garcia"	0.157925
"Jason Giambi"	0.157457
"Brian Johnson"	0.157285
"Benny Agbayani"	0.157213
"Jose Valentin"	0.156782
"GERONIMO BERROA"	0.155792
"Pat Meares"	0.155554
"Lou Merloni"	0.155418
"Jay Payton"	0.15494
"Preston Wilson"	0.154819
"Craig Counsell"	0.154783
"Greg Colbrunn"	0.153953
"Travis Lee"	0.153939
"Paul Konerko"	0.153899
"Jose Vizcaino"	0.153855
"Edgardo Alfonzo"	0.153733
"Bobby Abreu"	0.153722
"Wil Cordero"	0.153103
"Damian Jackson"	0.152858
"Matt Williams"	0.15278
Spiers	0.151707
"Damian Miller"	0.151414
Lieberthal	0.151092
"Russ Davis"	0.150899
"Travis Fryman"	0.15039
"Wally Joyner"	0.150014
"Mark Grace"	0.149451
"Jeromy Burnitz"	0.149436
"Danny Bautista"	0.14803
Abreu	0.147828
"Mike Lowell"	0.146773
"Keith Lockhart"	0.146733
"Gregg Jefferies"	0.145101
"Jason McDonald"	0.144745
"Quinton McCracken"	0.144717
"Lance Johnson"	0.144712
"Carlos Baerga"	0.144193
"Gregg Zaun"	0.143732
"Scott Hatteberg"	0.143716
"Matt Stairs"	0.143351
"Carlos Guillen"	0.143209
"Cecil Fielder"	0.143207
"Troy Glaus"	0.143206
"Andy Fox"	0.142537
"Adrian Beltre"	0.14234
"Mike Sweeney"	0.142198
"Kelly Stinnett"	0.141973
"Jay Bell"	0.141871
"CARLOS HERNANDEZ"	0.141733
"Ozzie Guillen"	0.141672
"Luis Sojo"	0.141398
"Rich Becker"	0.141387
"Luis Polonia"	0.141294
"Luis Castillo"	0.140945
Veras	0.140904
"Juan Castro"	0.140291
"Adam Kennedy"	0.140091
"Glenallen Hill"	0.139989
"Ken Caminiti"	0.139819
"Orlando Palmeiro"	0.139638
"Johnny Damon"	0.139525
"Fred McGriff"	0.139501
"Jeff Bagwell"	0.139484
"Mike Lansing"	0.139434
"Todd Pratt"	0.138935
"Robin Ventura"	0.13812
Vidro	0.137846
"Wade Boggs"	0.137034
"Kevin Young"	0.136959
"Benji Gil"	0.13666
"Rico Brogna"	0.136542
"Brian Hunter"	0.136527
"Todd Helton"	0.136494
"Tony Womack"	0.135877
"Damion Easley"	0.135847
"Kevin Elster"	0.135677
"Will Clark"	0.135584
"Damon Buford"	0.135476
"Stan Javier"	0.135207
"Rey Sanchez"	0.135009
"Butch Huskey"	0.134763
"Ron Gant"	0.134661
"Aaron Boone"	0.134272
"Dmitri Young"	0.133832
Burnitz	0.133729
McGriff	0.133661
"Tony Eusebio"	0.133276
"Darrin Fletcher"	0.133233
"Cliff Floyd"	0.133116
"Kenny Lofton"	0.132896
"Kirk Rueter"	0.132501
Higginson	0.13247
Mabry	0.13239
"Luis Gonzalez"	0.132209
"John Valentin"	0.132026
"Carlos Beltran"	0.131956
"Jeffrey Hammonds"	0.131937
"Steve Finley"	0.13176
"Bengie Molina"	0.131725
"Sean Casey"	0.131539
"Desi Relaford"	0.131512
"Bruce Aven"	0.130852
"Delino DeShields"	0.130448
"Jon Nunnally"	0.12977
"Rob Ducey"	0.1297
"Mark Grudzielanek"	0.129249
"Otis Nixon"	0.129049
"Wilton Guerrero"	0.128694
Tatis	0.128672
"Mike Lieberthal"	0.128572
"Eric Karros"	0.128097
"Gary Gaetti"	0.127961
"Warren Morris"	0.127631
"Brook Fordyce"	0.127396
"Eddie Taubensee"	0.12668
"Alex Gonzalez"	0.126655
"Todd Greene"	0.12629
"Andy Sheets"	0.126154
"Darryl Hamilton"	0.125533
"Ruben Rivera"	0.125417
Javier	0.124899
Valentin	0.124878
"Bernard Gilkey"	0.124618
"J.D Drew"	0.124367
"Magglio Ordonez"	0.123795
"Shannon Stewart"	0.123794
"Vinny Castilla"	0.123698
Fullmer	0.123531
"Fernando Vina"	0.123392
"Brian Daubach"	0.123344
"Jorge Fabregas"	0.123218
"Jose Vidro"	0.122879
Bordick	0.122816
"Tom Goodwin"	0.122595
Giambi	0.122041
"Pokey Reese"	0.121873
"Bubba Trammell"	0.121458
"Dan Wilson"	0.120958
Sexson	0.12085
"Midre Cummings"	0.120844
Catalanotto	0.12068
"Gerald Williams"	0.120313
"Reggie Sanders"	0.120279
"Mark McLemore"	0.119885
Lankford	0.119703
Glaus	0.11925
"Tony Graffanino"	0.119116
"Randy Velarde"	0.118645
Elster	0.118639
"Mike Benjamin"	0.118623
"Walt Weiss"	0.118544
"Ben Grieve"	0.1184
"Mitch Meluskey"	0.118332
"Lance Berkman"	0.117777
Brosius	0.11759
"Jim Thome"	0.117511
Tejada	0.117498
"Joe Carter"	0.117287
Vina	0.11723
"Scott Brosius"	0.116972
"Jason Kendall"	0.116169
Merloni	0.116081
"Matt Mieske"	0.115785
"Brian Giles"	0.115601
"Barry Larkin"	0.115512
Cirillo	0.115195
"Lee Stevens"	0.115018
"Dante Bichette"	0.114638
"Greg Myers"	0.11453
"Javy Lopez"	0.114428
"Mike Bordick"	0.113971
Hollins	0.113541
Alfonzo	0.113396
"Harold Baines"	0.112924
"Carlos Febles"	0.112727
"Tino Martinez"	0.112572
"Brad Ausmus"	0.112173
"Reggie Jefferson"	0.111841
"Al Martin"	0.111621
"Devon White"	0.110873
Burks	0.110819
"Miguel Tejada"	0.110422
Olerud	0.110146
"Jose Offerman"	0.109794
"Quilvio Veras"	0.109745
"Chili Davis"	0.109556
"Ryan Klesko"	0.109261
"Brady Anderson"	0.109109
Furcal	0.108842
"Mark Gardner"	0.108528
"Roger Cedeno"	0.107939
Ordonez	0.107894
"Robb Nen"	0.107841
"Frank Thomas"	0.107767
"Tony Phillips"	0.107634
Fryman	0.107611
"Todd Hollandsworth"	0.107232
"Jeff King"	0.106843
"Michael Tucker"	0.106783
Beltre	0.106574
Agbayani	0.106468
"Miguel Cairo"	0.106457
Aurilia	0.106121
"Kevin Stocker"	0.105551
"Edgar Martinez"	0.10546
Brogna	0.105455
"Alex Cora"	0.105302
"Troy O'Leary"	0.105173
"Donnie Sadler"	0.105132
"Bobby Bonilla"	0.104956
"Vladimir Guerrero"	0.10473
"Tom Lampkin"	0.103713
Alicea	0.103333
"Mike Stanley"	0.103168
Bautista	0.102647
"Jim Leyritz"	0.102519
"Jason Varitek"	0.102514
Zeile	0.102242
Randa	0.101194
Renteria	0.100947
"Jermaine Dye"	0.100886
"David Segui"	0.100872
"Carlos Delgado"	0.10084
"Mark Johnson"	0.100809
"Chipper Jones"	0.10078
Ausmus	0.100749
"Mike Caruso"	0.100547
Batista	0.100412
"Eric Young"	0.100373
"Tony Clark"	0.100347
"Rickey Henderson"	0.100034
))
("Charlie Norwood" (desc 2786.7) (sims
"John Linder"	0.264979
"Jack Kingston"	0.260429
"Bob Barr"	0.25724
"Paul Coverdell"	0.233262
"John Dingell"	0.232732
"Mark Foley"	0.219195
"David Dreier"	0.182705
"John Conyers"	0.180373
"Tom Campbell"	0.174422
"George Miller"	0.163722
"Tom Coburn"	0.159415
"Christopher Shays"	0.157315
"Lamar Smith"	0.145948
"Connie Morella"	0.144825
"George Gekas"	0.144405
"Carolyn McCarthy"	0.141866
"Christopher Cox"	0.140998
"Bill McCollum"	0.139791
"Max Cleland"	0.139459
"Dan Miller"	0.137189
"Ron Paul"	0.13695
"Christopher Smith"	0.136889
"Asa Hutchinson"	0.136852
"Sheila Jackson Lee"	0.135525
"Mark Sanford"	0.135412
"Carolyn Maloney"	0.133972
"Lindsey Graham"	0.132591
"Jim Leach"	0.131209
"Steve Chabot"	0.131006
"David Bonior"	0.130857
"Matt Salmon"	0.128792
"Mary Bono"	0.127494
"Nancy Pelosi"	0.127166
"Curt Weldon"	0.125947
"Amo Houghton"	0.125596
"John Lewis"	0.125187
"Henry Bonilla"	0.123512
"Charles Canady"	0.122518
"Jim McDermott"	0.120793
"Jack Quinn"	0.1204
"Jennifer Dunn"	0.120269
"Billy Tauzin"	0.118653
"George Nethercutt"	0.117431
"Bill Archer"	0.117415
"Ed Bryant"	0.115799
"Sherwood Boehlert"	0.11328
"Lloyd Doggett"	0.113058
"Don Young"	0.112083
"Jose Serrano"	0.108971
"Tillie Fowler"	0.108186
"Benjamin Gilman"	0.108077
"J.C. Watts"	0.106507
"Jim Kolbe"	0.105526
"Bernard Sanders"	0.105439
"Steve Largent"	0.104083
"Henry Waxman"	0.102729
Norwood	0.102498
"Zoe Lofgren"	0.10243
"Linda Smith"	0.102125
"Nita Lowey"	0.101845
"Jim Bunning"	0.101741
"Marge Roukema"	0.101682
"Barney Frank"	0.101378
"Edward M. Kennedy"	0.101239
"Charles Stenholm"	0.10032
"Dan Burton"	0.0991452
R-Ga.	0.099029
"John Conyers Jr."	0.0990286
"Chris Smith"	0.098768
"Jerrold Nadler"	0.0987322
"James Rogan"	0.0977356
"Charles Rangel"	0.0943761
"Nancy Johnson"	0.0928413
"James Sensenbrenner"	0.090243
"Edward Kennedy"	0.0900737
"Slade Gorton"	0.0897564
"Kay Bailey Hutchison"	0.0891655
"Peter King"	0.0891502
"Robert Torricelli"	0.0888432
"Loretta Sanchez"	0.0884281
"John Boehner"	0.0879851
"Martin Meehan"	0.087689
"Bob Graham"	0.0875922
"Susan Molinari"	0.0874792
"Henry Hyde"	0.0872452
"Bob Franks"	0.0869463
"Maxine Waters"	0.0863464
"Bob Smith"	0.0852701
"Sue Kelly"	0.0833093
"Arlen Specter"	0.0827195
"Fred Upton"	0.0822496
"Jumaine Jones"	0.0817339
"Newt Gingrich"	0.0806617
"Sam Nunn"	0.0804966
"Roy Barnes"	0.0801546
"Pete Domenici"	0.0799289
"Porter Goss"	0.0799141
"Greg Ganske"	0.0798973
"John Sweeney"	0.0789942
"John Breaux"	0.0787492
"Paul Wellstone"	0.0773629
"Robert Menendez"	0.0768541
"Norm Dicks"	0.0763304
"Dianne Feinstein"	0.0754831
Thurmond	0.0749427
"Charles Schumer"	0.0739121
"Tom Harkin"	0.0734872
"Phil Gramm"	0.0729427
"Patrick Kennedy"	0.0724862
"Michael Forbes"	0.0723037
"Tom Daschle"	0.072056
"Carl Levin"	0.0717591
"Fred Thompson"	0.071554
"Dick Armey"	0.0713344
Coverdell	0.0709308
"Bill Thomas"	0.0692729
"Tim Johnson"	0.0688963
"House Majority Whip Tom DeLay"	0.0673378
"Charles E. Schumer"	0.0673
"Richard Durbin"	0.0671105
"Richard Shelby"	0.0653093
"Connie Mack"	0.06521
"Jesse Helms"	0.0649233
Nickles	0.0647821
"Patrick Leahy"	0.0647575
"John Ashcroft"	0.0645972
"Larry Craig"	0.0643607
"Charles Grassley"	0.0640165
"William Roth"	0.063943
Lugar	0.0636146
"Sam Brownback"	0.0623937
"Susan Collins"	0.0611484
"Lee Hamilton"	0.0607378
"Lauch Faircloth"	0.0600242
"Jim Turner"	0.0599247
"Charles Robb"	0.0595611
"Andrew Morton"	0.059072
"Craig Thomas"	0.0589069
Ikimi	0.0587768
"Strom Thurmond"	0.0587671
"Frank Lautenberg"	0.058661
"John Kasich"	0.0583838
"All-China Journalists Association"	0.0581377
"Mitch McConnell"	0.0576361
"Robert Byrd"	0.0576078
"Jim Gilmore"	0.056715
"Richard Lugar"	0.056482
"Champ Bailey"	0.0559963
"China National Tourism Administration"	0.0554381
"Orrin Hatch"	0.0553872
"Pat Roberts"	0.0552001
"Dick Gephardt"	0.0550513
Gramm	0.0549462
"Rick White"	0.0549336
"Rick Lazio"	0.054899
"Mike Huckabee"	0.0545456
"Propaganda Department"	0.0535981
"Jon Kyl"	0.0532728
"Spencer Abraham"	0.0527491
"Commission on Presidential Debates"	0.0524268
"Olympia Snowe"	0.0523968
"Daniel Patrick Moynihan"	0.0520472
"Barbara Boxer"	0.0518131
D-Mass.	0.0515298
"John Warner"	0.0513494
"Gary Johnson"	0.0512088
"Blue Shield"	0.0511465
Helms	0.0510939
"Ministry of Land"	0.0508573
"Tom DeLay"	0.0499402
"Richard Gephardt"	0.0498041
"Mastercard International"	0.0495997
"Lokendra Bahadur Chand"	0.049336
"Bill Frist"	0.0492603
Dingell	0.0492121
"Department of Finance"	0.0491808
"John Kerry"	0.0491733
Chevenement	0.048756
"Bill Owens"	0.0486599
"John G. Rowland"	0.048472
ENTREMED	0.0483941
D-Mich.	0.0482291
"Prime Minister Banharn Silpa-Archa"	0.0482201
"Constitutional Assembly"	0.0481267
Cleland	0.0476057
"Kit Bond"	0.0475693
Gorton	0.0475259
"Dick Pound"	0.0474778
"Martin Frost"	0.0470254
D'Alessandro	0.0469849
"Don Nickles"	0.0469799
Gilmore	0.046914
"Rick Santorum"	0.0464751
Murkowski	0.0463233
"Quincy Carter"	0.0458237
Dougherty	0.0456757
Councilman	0.0454953
"H.D Deve Gowda"	0.0453708
"Ramsey Clark"	0.0451203
Satcher	0.0448613
))
("Charlie Parker" (desc 2577) (sims
"Count Basie"	0.229007
"Ella Fitzgerald"	0.226356
"Miles Davis"	0.197376
"Billie Holiday"	0.191088
"Duke Ellington"	0.189778
"Louis Armstrong"	0.18314
"Dizzy Gillespie"	0.171569
"John Coltrane"	0.138011
"Nat King Cole"	0.124186
"Ray Charles"	0.110745
"Benny Goodman"	0.110575
"Jimi Hendrix"	0.107728
"Chuck Berry"	0.0947452
"B.B King"	0.0842417
"Bob Dylan"	0.0820296
"Hank Williams"	0.0792922
"Elvis Presley"	0.0781617
"Frank Sinatra"	0.0775794
"Neil Young"	0.0736336
"Muddy Waters"	0.0720852
Motown	0.0702553
"Bing Crosby"	0.0696978
"Tito Puente"	0.0695442
"Aaron Copland"	0.0672703
"Philip Glass"	0.0671425
"John Lee Hooker"	0.0669728
Gershwin	0.0668187
"Cole Porter"	0.0667884
"Patsy Cline"	0.0661848
"Judy Garland"	0.0661296
"Rolling Stones"	0.0635502
"Johnny Cash"	0.0632297
"Eric Clapton"	0.0596347
Ellington	0.0581577
Vivaldi	0.0581305
"Josephine Baker"	0.0576573
Beatles	0.057577
"George Gershwin"	0.057135
"Stevie Wonder"	0.0569766
"Saul Bellow"	0.056477
"Mick Jagger"	0.0560879
"Tom Waits"	0.0557397
Brahms	0.0531753
"Paul Robeson"	0.0518482
Bach	0.0515608
"Lucille Ball"	0.0513613
Sinatra	0.0509484
"Led Zeppelin"	0.0505585
Mahler	0.0495566
"Wynton Marsalis"	0.0492557
"Bob Marley"	0.0486998
Mozart	0.0472074
"John Cage"	0.0471633
"Quincy Jones"	0.0470688
Chopin	0.0465994
Schoenberg	0.0465622
"Tony Bennett"	0.0459946
"Mahatma Gandhi"	0.0457682
Hatteberg	0.0453434
"big band"	0.0449434
"Little Richard"	0.0448265
"Pink Floyd"	0.0445489
Aerosmith	0.0441871
"James Jones"	0.0441294
"Kurt Cobain"	0.0437827
JVC	0.043154
Liszt	0.0429419
"Marx Brothers"	0.0429167
"Michael Jackson"	0.0424406
"Patti Smith"	0.04234
"Ernest Hemingway"	0.0416088
"Howie Long"	0.0411737
"John Wayne"	0.0408123
"Spice Girls"	0.0407641
harpsichord	0.0407599
"Marlon Brando"	0.0406783
"Bruce Springsteen"	0.0403369
))
("Charlie Ward" (desc 5517.94) (sims
"Kurt Thomas"	0.313285
"Chris Childs"	0.302776
"Chris Dudley"	0.255407
"Larry Johnson"	0.242169
"Marcus Camby"	0.241171
"Allan Houston"	0.226795
"Latrell Sprewell"	0.212844
"Herb Williams"	0.172679
"Patrick Ewing"	0.168309
"Chris Mills"	0.168062
"John Wallace"	0.158378
"Eric Snow"	0.151041
Camby	0.147061
Sprewell	0.145428
"John Starks"	0.143601
"Tim Hardaway"	0.141192
Childs	0.134941
Ewing	0.130313
"Dave Brown"	0.127631
"Travis Best"	0.125541
"Darrell Armstrong"	0.1243
"Darrick Martin"	0.123516
"Mitch Richmond"	0.116224
"Brandon Granville"	0.115892
"Derek Fisher"	0.114485
"Michele Timms"	0.109674
"Mark Jackson"	0.109498
"Avery Johnson"	0.109285
"Ryan Bailey"	0.108526
"Khalid El-Amin"	0.107802
"Reggie Miller"	0.10694
"Gary Payton"	0.105093
"Ron Harper"	0.104158
"Damon Stoudamire"	0.103603
"Sherman Douglas"	0.102559
"Ty Detmer"	0.10227
"Alonzo Mourning"	0.101433
"Brevin Knight"	0.101123
"Kent Graham"	0.0993041
"Jaren Jackson"	0.0992706
"Dennis Scott"	0.0975607
"Trent Green"	0.0968839
"Stephon Marbury"	0.0967704
"Charles Oakley"	0.0967498
"Derek Harper"	0.095734
"Jason Kidd"	0.09571
"Wayne Turner"	0.095563
"Jason Williams"	0.0954983
"Ray Allen"	0.0954356
"Mateen Cleaves"	0.095394
"Jeff Van Gundy"	0.0949944
"Kenny Anderson"	0.0947752
"Eric Murdock"	0.0934859
"David Wesley"	0.0934326
"Erick Barkley"	0.0933579
"Brian Shaw"	0.0930952
"Christian Laettner"	0.0918799
"Kim Perrot"	0.0915965
"Kerry Kittles"	0.0913534
Kittles	0.0908068
"Danny Wuerffel"	0.0906331
"Scoonie Penn"	0.0904998
MARBURY	0.0899073
"Terry Cummings"	0.0893736
"Nick Anderson"	0.0893296
"Toni Kukoc"	0.0892478
"Mike Bibby"	0.089219
"Andre Miller"	0.0884784
El-Amin	0.0882369
"Chris Weinke"	0.0881918
"Jamal Mashburn"	0.0881397
"Jalen Rose"	0.088039
"Voshon Lenard"	0.0875267
"Vin Baker"	0.0868201
"Nick Van Exel"	0.0867469
"P.J Brown"	0.0861844
"Jerry Stackhouse"	0.0861643
"Rick Fox"	0.0857105
"Steve Smith"	0.08497
"Doug Pederson"	0.0840629
"Kobe Bryant"	0.0840519
"Rod Strickland"	0.0840034
"Bubby Brister"	0.0835227
"Penny Hardaway"	0.0831874
"Jason Terry"	0.0828908
"Derrick Coleman"	0.0826335
ward	0.0822567
"Ron Mercer"	0.0818828
"Otis Thorpe"	0.0812993
"Michael Finley"	0.0812037
"Nikki McCray"	0.0810339
"Terrell Brandon"	0.0810151
"John Stockton"	0.0805335
"Hu Weidong"	0.0804214
Cleaves	0.0802607
"Matt Santangelo"	0.0802429
"Greg Anthony"	0.0797189
"Grant Long"	0.0796083
"Glenn Foley"	0.0795958
"Dan Majerle"	0.0794838
"Howard Eisley"	0.0792665
"Steve Kerr"	0.0787854
"David Robinson"	0.0786713
"Tony Banks"	0.0785981
"Shammond Williams"	0.0785053
"Allen Iverson"	0.078121
"Derek Anderson"	0.077971
"Glen Rice"	0.0773973
"Drew Bennett"	0.0772007
"Tyrone Nesby"	0.0769314
"Baron Davis"	0.0763145
"Dikembe Mutombo"	0.0761232
"Kendall Gill"	0.075839
"Earl Watson"	0.0756968
"Alan Henderson"	0.0755581
"Juwan Howard"	0.075303
"Kerry Collins"	0.075109
"Vlade Divac"	0.0750613
"Doug Christie"	0.074984
"Anthony Johnson"	0.0747163
"Randall Cunningham"	0.0747112
"William Avery"	0.0744791
"Teresa Weatherspoon"	0.0744608
"Karl Malone"	0.0741315
"Mario Elie"	0.0740023
"Shandon Anderson"	0.0739469
"Maurice Taylor"	0.0738302
"Brock Huard"	0.0735768
"Rik Smits"	0.0734191
"Jeff Trepagnier"	0.0732524
"Steve Nash"	0.0732325
"Rick Mirer"	0.0731432
"Robert Pack"	0.0731125
"Kevin Johnson"	0.0727464
"Doug Flutie"	0.0726865
"B.J Armstrong"	0.0722866
"Chris Simms"	0.072236
"Tee Martin"	0.072118
"Trent Dilfer"	0.0719261
"Eddie House"	0.0718771
"Hakeem Olajuwon"	0.0718587
"Matt Maloney"	0.0718082
"Kris Clack"	0.0716962
"Rodney Peete"	0.0716027
"Hersey Hawkins"	0.0715287
"Brian Griese"	0.0713529
"Rich Gannon"	0.0712658
"Austin Croshere"	0.0709501
"Bobby Phills"	0.0707396
"Jeff Blake"	0.0705671
Kidd	0.0700263
"Shawn Kemp"	0.0697032
"Ray Lucas"	0.0694458
"Terry Porter"	0.069377
"Brian Grant"	0.0691338
"Scottie Pippen"	0.0690449
"Randy Brown"	0.0688154
"Malik Sealy"	0.0687142
"Antonio Daniels"	0.0686736
"Jake Plummer"	0.0685082
"Ricky Moore"	0.0685005
"Bonzi Wells"	0.0682549
Starks	0.0681299
Smits	0.0680695
Dudley	0.0680469
"Dawn Staley"	0.0679932
"Isaiah Rider"	0.0675638
Bryant	0.067523
"Mookie Blaylock"	0.0672594
"Jeff Hornacek"	0.0669998
"Ruben Patterson"	0.0664151
"Vinny Testaverde"	0.0662872
"Chris Chandler"	0.0662508
"Mike Van Raaphorst"	0.0660391
"Rex Chapman"	0.0660264
"Eric Piatkowski"	0.0656624
Griese	0.0652424
"Corliss Williamson"	0.065074
"Rob Johnson"	0.064994
"Cedric Ceballos"	0.0649624
"Cuttino Mobley"	0.0649469
"Cynthia Cooper"	0.0648403
"Tariq Abdul-Wahad"	0.064628
"Antoine Walker"	0.0644638
"Tyronn Lue"	0.0644006
Kukoc	0.0642502
"Ryan Kealy"	0.0641722
"Clifford Robinson"	0.0639503
"Heath Irwin"	0.0638091
Iverson	0.063507
"Neil O'Donnell"	0.0630242
"Steve Francis"	0.0628834
"Anfernee Hardaway"	0.0628719
"Tim Duncan"	0.0625483
Weinke	0.0625293
"Ukari Figgs"	0.0624987
"Jeff George"	0.0624878
"Bob Sura"	0.0622018
"Ray Young"	0.0621258
"Damon Huard"	0.0621085
))
("Charlie Williams" (desc 3278.64) (sims
"Kevin Mathis"	0.272355
"George Teague"	0.214144
"Mario Edwards"	0.198585
"Darren Woodson"	0.167874
"Dwayne Goodrich"	0.164091
"Tony Hutson"	0.163852
"Kevin Smith"	0.162121
"Darrell Green"	0.149337
"Michael Booker"	0.148719
"Jason Sehorn"	0.126759
"Deion Sanders"	0.117882
"Ronnie Bradford"	0.117274
"Ryan Roques"	0.115993
"Marques Anderson"	0.115602
"Otis Smith"	0.106536
"Eric Whitfield"	0.105279
"Chris Warren"	0.100568
"Jason Bell"	0.0997814
"Greg Ellis"	0.0978084
"Aeneas Williams"	0.0960521
"Phillippi Sparks"	0.0949212
"Rick Reed"	0.094189
"Sam Madison"	0.0935626
"Dale Carter"	0.0898323
"Chris McAlister"	0.0894183
"Paul Justin"	0.0861535
"John Hirschbeck"	0.0827643
"Chad Hennings"	0.0823527
"Aaron Glenn"	0.0820649
"Mark Johnson"	0.0774906
"Joe Kleine"	0.0764809
"Charles Woodson"	0.0762733
"Ernie Mills"	0.0759551
"Tebucky Jones"	0.0748685
"Jaren Jackson"	0.0734569
"Ty Law"	0.072835
"Dave Brown"	0.0719104
"Everett McIver"	0.0713401
"Steve DeBerg"	0.0703875
"Terry Porter"	0.070182
"Leon Lett"	0.069429
"Bubby Brister"	0.0693713
"Steve Israel"	0.0682423
"Erik Williams"	0.0678432
"Larry Brown"	0.0677062
"Luis Sojo"	0.0675924
"John Salley"	0.0673556
"Jeff Ogden"	0.0672515
"Willie Clay"	0.0671519
"Drew Bennett"	0.066948
"Chris Canty"	0.066789
"Antonio Langham"	0.0667088
"Nate Newton"	0.0662947
"Joe Brinkman"	0.0661781
"Derek Fisher"	0.0660587
"Scott Zolak"	0.065995
"Manny Fernandez"	0.065331
"Travis Knight"	0.0647531
"Eric Murdock"	0.0625724
"Greg Anthony"	0.0621054
"Michael Irvin"	0.0620494
"Daryl Johnston"	0.0619774
"Jason Garrett"	0.0613287
"Tony Graziani"	0.0613193
"Billy Knight"	0.0610295
"David LaFleur"	0.060791
"Dale Ellis"	0.0592152
"Alonzo Spellman"	0.058473
"Ray Buchanan"	0.058429
"Greg Adams"	0.0580569
"Dave Thomas"	0.0579371
"Billy Davis"	0.0577886
cornerbacks	0.0574155
"Al Unser Jr."	0.0573618
"Kavika Pittman"	0.0571011
"Lothar Matthaeus"	0.0567922
"Glenn Foley"	0.0567587
"Doug Pederson"	0.0567168
Teague	0.0562112
"Larry Whigham"	0.0561029
ump	0.0559105
"Solomon Page"	0.0558658
"Sherman Douglas"	0.0554709
"Troy Aikman"	0.0551723
"Robert Thomas"	0.0545314
"Darrien Gordon"	0.0544667
"Bret Saberhagen"	0.0540395
"Andreas Moeller"	0.053795
"Dan Cloutier"	0.0536524
"Brian Shaw"	0.0532187
"Erik Kramer"	0.0530713
"Damon Huard"	0.0529876
"Walter McCarty"	0.0519934
"Steve Atwater"	0.0519848
Woodson	0.0519512
CORYATT	0.0515759
"Dexter Coakley"	0.0515655
"John Vanbiesbrouck"	0.0513769
"Jelani McCoy"	0.0511218
"Derek Harper"	0.0510595
"Ronnie Lott"	0.0510279
"Bill Haselman"	0.0508959
"Shane Dronett"	0.0508868
"Luis Alicea"	0.0508532
"Tony George"	0.0507167
"GERONIMO BERROA"	0.050408
Lafleur	0.0503282
"Sean Farnham"	0.0501846
McIver	0.0501816
"Kevin Williams"	0.0501294
"Wang Tao"	0.0500586
Potvin	0.0493644
"Mike Sullivan"	0.0492796
"Anita Wachter"	0.0492713
"Kent Graham"	0.0492556
"Jimmy Spencer"	0.0491264
"Drew Henson"	0.048921
"Hristo Stoichkov"	0.0487803
"Jim Harbaugh"	0.0487702
"Jarvis Turner"	0.0484494
"Flozell Adams"	0.0484286
"Rocket Ismail"	0.0482641
"Jim Druckenmiller"	0.0481165
Lue	0.048103
cornerback	0.0477126
"Cornelius Bennett"	0.0476698
"Matt Barnes"	0.0474234
"Ulf Kirsten"	0.0471233
"Ebenezer Ekuban"	0.0469507
"Grant Long"	0.0469357
"Phenix City"	0.0468103
"Rick Mirer"	0.046662
"Jon Kitna"	0.0464646
"Pepper Johnson"	0.0462828
"Mike Vernon"	0.0460631
"John Fox"	0.0459498
"Steve Kerr"	0.0457612
"Tom Barrasso"	0.0457326
"Trace Armstrong"	0.0456898
"Rick Fox"	0.0455803
"Herb Williams"	0.0455342
"Jeff George"	0.045532
"Pat Verbeek"	0.0454105
"Carson Palmer"	0.04516
"Antoine Carr"	0.0451592
"Dennis Scott"	0.0450222
Gossage	0.0450176
"Bill Wennington"	0.0449908
"Mike Van Raaphorst"	0.044988
"Terry Cummings"	0.0449848
"Trenidad Hubbard"	0.0449105
"Felix Potvin"	0.0448884
"Ken Kocher"	0.0448322
"Mark Wohlers"	0.0448301
"Dan Majerle"	0.0447218
"Thomas Haessler"	0.0444961
"Grant Fuhr"	0.044451
"Eddie Murray"	0.044421
Stoudamire	0.0444173
"Wane McGarity"	0.0444027
"Eric Bjornson"	0.0443869
"Dale Hunter"	0.0443367
Polgar	0.0440955
"Keith Brooking"	0.0439906
"Ryan Bailey"	0.0439677
"Antawn Jamison"	0.0437458
"Gary Trent"	0.0436375
"John Burkett"	0.0435676
"Eddie Perez"	0.0435567
"Robert Horry"	0.043415
"Jamie Storr"	0.0433316
"Larry Allen"	0.0432798
"Chris Carter"	0.0431193
"Randall Cunningham"	0.0431076
"Brad Friedel"	0.0430795
"Brad Miller"	0.0427089
"labor contract"	0.0425778
"Sean Rooks"	0.0425685
"Antonio Davis"	0.0425441
"Mark Smith"	0.0424874
"Oliver Miller"	0.0421451
"Clifford Robinson"	0.0421161
Mathis	0.0421098
Hendrickson	0.0421089
"Salim Malik"	0.0421068
"William White"	0.0420759
Gustafsson	0.0420677
"Stefan Edberg"	0.0420486
"Champ Bailey"	0.0420365
"Steve Beuerlein"	0.0418791
"Jose Vizcaino"	0.041849
Testud	0.041818
"deputy sheriff"	0.0418151
"American Andre Agassi"	0.0417907
"Ryan McCann"	0.0417864
"Chris Mullin"	0.0414835
"Chris Chandler"	0.0414655
tendon	0.041429
Scelzi	0.0413377
"Jan-Ove Waldner"	0.0413201
))
("Charlize Theron" (desc 3960.98) (sims
"Don Cheadle"	0.100939
"Brenda Blethyn"	0.0978168
"Matt Damon"	0.097329
"John Malkovich"	0.096941
"Billy Bob Thornton"	0.0957477
"Joan Allen"	0.0954619
"Reese Witherspoon"	0.0936085
"Harvey Keitel"	0.09192
"Michael Caine"	0.0919039
"Ben Affleck"	0.0901584
"Geoffrey Rush"	0.0896234
"Christina Ricci"	0.08446
"Nicolas Cage"	0.0831793
"Tim Robbins"	0.0788288
"Faye Dunaway"	0.0774216
"Frances McDormand"	0.0752897
"Kate Winslet"	0.0741236
"Sandra Bullock"	0.0726138
"James Van Der Beek"	0.0699761
"Gene Hackman"	0.0698824
"Gwyneth Paltrow"	0.0688646
"Tobey Maguire"	0.0650231
"Courtney Love"	0.0637997
"Winona Ryder"	0.0634669
"Leonardo DiCaprio"	0.063252
"Brad Pitt"	0.0629427
"Liv Tyler"	0.0624398
"Joaquin Phoenix"	0.0616928
"Bruce Willis"	0.0615397
"Janeane Garofalo"	0.0611879
"Christian Slater"	0.0603264
"Ed Harris"	0.0591459
"Kenneth Branagh"	0.0584164
"Helen Hunt"	0.0574201
"AL PACINO"	0.0540055
"Jodie Foster"	0.0527918
"Demi Moore"	0.0525891
"Meryl Streep"	0.0510535
"James Woods"	0.0507961
"James Gandolfini"	0.0502279
"Halle Berry"	0.0496612
"Jeremy Irons"	0.0492922
"Melanie Griffith"	0.0491895
"Ben Stiller"	0.0490895
"James Cromwell"	0.0489418
"Johnny Depp"	0.0485704
"Jamie Foxx"	0.0477151
"Kate Moss"	0.0476441
"Bebe Neuwirth"	0.0475918
"Bernadette Peters"	0.0472806
"Antonio Banderas"	0.0469416
"William Shatner"	0.0463634
"Matthew McConaughey"	0.0463549
BANDERAS	0.0455208
"Kevin Kline"	0.0452905
"Dame Judi Dench"	0.0452057
"Sean Connery"	0.0451404
"Judi Dench"	0.044915
"Robert Downey Jr."	0.0448779
"Angela Bassett"	0.0441417
"Drew Barrymore"	0.043646
"Sidney Poitier"	0.0433978
Lucille	0.0431639
"Dwight Yoakam"	0.0430523
"Sharon Stone"	0.0425103
"Kathy Bates"	0.0424387
"Paul Newman"	0.041929
"Ethan Hawke"	0.0417907
"Calista Flockhart"	0.0412592
"Ewan McGregor"	0.040839
"Richard Dreyfuss"	0.0405514
"Robert Duvall"	0.0404614
"Kelsey Grammer"	0.0404557
"Claire Danes"	0.0404526
"Ralph Fiennes"	0.0403276
))
(Charlotte (desc 45062.9) (sims
Orlando	0.2168
Sacramento	0.21122
Phoenix	0.205786
Cleveland	0.203702
Portland	0.20237
Detroit	0.200532
Milwaukee	0.200219
Toronto	0.199651
"San Antonio"	0.197305
Dallas	0.190426
Houston	0.189255
Denver	0.188371
"St. Louis"	0.186608
Cincinnati	0.18618
Philadelphia	0.183446
Chicago	0.1821
Indianapolis	0.180481
Pittsburgh	0.178341
Seattle	0.177863
Atlanta	0.175035
Vancouver	0.172761
Boston	0.172521
"San Diego"	0.171147
Baltimore	0.168335
Miami	0.166748
Nashville	0.165054
"New Orleans"	0.164831
"San Jose"	0.164269
"Kansas City"	0.163709
"Golden State"	0.16334
Montreal	0.159058
Minnesota	0.157101
Buffalo	0.154863
Tampa	0.153988
"San Francisco"	0.153936
"Los Angeles"	0.152161
Oakland	0.151412
Columbus	0.149178
"Tampa Bay"	0.148651
Indiana	0.148314
Calgary	0.147158
Edmonton	0.145942
Minneapolis	0.145857
"Green Bay"	0.145236
Jacksonville	0.142869
Richmond	0.140527
Memphis	0.140373
Utah	0.139887
Louisville	0.134588
ANAHEIM	0.134558
Raleigh	0.132255
"New Jersey"	0.132111
"Las Vegas"	0.130964
Carolina	0.129255
"New York"	0.12807
"Salt Lake City"	0.124487
"Los Angeles Lakers"	0.124103
Colorado	0.122993
Newark	0.122654
Lakers	0.119693
Ottawa	0.119272
Arizona	0.118202
Greensboro	0.117054
"Charlotte Hornets"	0.116333
Birmingham	0.115687
"Los Angeles Clippers"	0.11481
Washington	0.113838
"Long Beach"	0.113731
Austin	0.11275
Florida	0.112461
Wilmington	0.112175
Honolulu	0.111511
Syracuse	0.110333
Hartford	0.110314
Providence	0.109752
Tucson	0.108252
Albuquerque	0.107349
"Fort Lauderdale"	0.106017
Rochester	0.105924
"Oklahoma City"	0.105258
"Fort Worth"	0.104419
clipper	0.103893
Michigan	0.101531
Hornet	0.100851
Winston-Salem	0.100494
Greenville	0.0994231
"New York Islanders"	0.0988623
"New York Mets"	0.0978108
"Des Moines"	0.0973426
Texas	0.0968968
Tennessee	0.0965826
"St. Petersburg"	0.096405
"North Carolina"	0.0963657
Concord	0.0963536
Kentucky	0.0961051
"Mexico City"	0.0957746
Knoxville	0.0957196
"Chicago Cubs"	0.0942878
"West Palm Beach"	0.0942349
"Little Rock"	0.0937119
"New York City"	0.0936938
Virginia	0.0921395
Albany	0.0915894
Knicks	0.0915544
"Chapel Hill"	0.0914843
Tulsa	0.0913138
"Dallas-Fort Worth"	0.0911662
Maryland	0.0910994
L.A	0.0906252
Spokane	0.0903937
pacer	0.0903495
Celtics	0.0902243
Talladega	0.0899124
Dayton	0.0887636
"New England"	0.0885943
Wisconsin	0.0884315
"San Juan"	0.0883985
"El Paso"	0.0882501
MELBOURNE	0.0873699
"Southern California"	0.0873573
"New York Rangers"	0.0870342
piston	0.086844
Manchester	0.0866461
Charleston	0.0866117
Tacoma	0.0865211
"Milwaukee Bucks"	0.086298
"Chicago White Sox"	0.0862316
Daytona	0.0859135
Arlington	0.0858137
Oklahoma	0.0856737
Darlington	0.0854817
Oregon	0.0854466
Pasadena	0.0847336
Hawaii	0.0845085
"New York Knicks"	0.0842632
D.C.	0.0842581
Auburn	0.084231
Bristol	0.0841595
"Chicago Bulls"	0.0836006
"Oklahoma State"	0.083388
Barcelona	0.0832828
LONDON	0.0832473
Portsmouth	0.0832229
"Colorado Springs"	0.0829573
"Phoenix Suns"	0.0825937
"Ohio State"	0.0823998
Raptor	0.082117
"Sacramento Kings"	0.0818772
Purdue	0.0814897
TALLAHASSEE	0.0812635
"West Virginia"	0.081212
Boise	0.0811685
"Miami Heat"	0.0810001
MetroStars	0.0809685
Rockingham	0.0807248
Connecticut	0.080612
Norfolk	0.0804946
Georgetown	0.0801209
Kansas	0.0800124
"New York Jets"	0.0796234
"New York Yankees"	0.0795045
"Houston Rockets"	0.0794389
Frankfurt	0.0792364
Springfield	0.0790226
Georgia	0.0789781
SEOUL	0.0789735
Clemson	0.0787816
Mets	0.0787045
Durham	0.0786387
Wichita	0.078597
cub	0.0785476
Chattanooga	0.0785268
Missouri	0.0785044
Nebraska	0.0784937
Havana	0.0782786
"New York Giants"	0.0782455
"Atlantic City"	0.078135
Arkansas	0.0780775
Naples	0.0779568
"Washington D.C."	0.0779168
Stanford	0.0779095
Alabama	0.0777727
Rutgers	0.0776673
ASHEVILLE	0.0776494
"Michigan State"	0.0775291
Dublin	0.0774269
BEARS	0.0773937
Munich	0.0773398
LSU	0.0773103
Fresno	0.0772429
"White Sox"	0.077153
Toledo	0.0770644
Macon	0.076802
Lexington	0.0767271
spur	0.0764872
Sydney	0.076474
"Atlanta Hawks"	0.076465
"New Haven"	0.0762563
anchorage	0.0759724
Madrid	0.0757627
))
("Charlotte Hornets" (desc 6270.83) (sims
"Los Angeles Clippers"	0.206884
"Milwaukee Bucks"	0.201191
"Houston Rockets"	0.194979
"Golden State Warriors"	0.187898
"New Jersey Nets"	0.184692
"Portland Trail Blazers"	0.183031
"Dallas Mavericks"	0.182382
"Sacramento Kings"	0.181875
"Phoenix Suns"	0.181869
"Toronto Raptors"	0.17719
"Chicago Bulls"	0.175442
"Washington Wizards"	0.17438
"Detroit Pistons"	0.174334
Hornet	0.173229
"Orlando Magic"	0.172332
"Cleveland Cavaliers"	0.171263
"Calgary Flames"	0.170677
"Los Angeles Lakers"	0.169782
"Denver Nuggets"	0.169091
"Indiana Pacers"	0.168793
"Indianapolis Colts"	0.167664
"Atlanta Hawks"	0.164515
"Minnesota Timberwolves"	0.160478
"Miami Heat"	0.159304
"Boston Celtics"	0.15929
"New York Knicks"	0.158479
"San Antonio Spurs"	0.15415
"Cincinnati Bengals"	0.152676
"Vancouver Canucks"	0.151747
"Minnesota Vikings"	0.148326
"San Diego Chargers"	0.146276
"New York-New Jersey MetroStars"	0.145689
"Los Angeles Kings"	0.14496
"Washington Redskins"	0.144161
"Kansas City Chiefs"	0.143903
"Utah Jazz"	0.143264
"Phoenix Coyotes"	0.142561
"Detroit Red Wings"	0.14055
"Toronto Maple Leafs"	0.140246
"Cleveland Browns"	0.140126
"Miami Dolphins"	0.13988
"Edmonton Oilers"	0.139694
"Seattle SuperSonics"	0.137695
"Buffalo Bills"	0.137268
"Milwaukee Brewers"	0.136821
"Arizona Cardinals"	0.136534
"New York Liberty"	0.136473
"Chicago Bears"	0.135816
"New Orleans Saints"	0.135184
"Jacksonville Jaguars"	0.134326
piston	0.133525
"Chicago Blackhawks"	0.132166
"Detroit Lions"	0.132121
"Green Bay Packers"	0.132024
"Washington Capitals"	0.131393
Celtics	0.129985
"San Francisco @@ers"	0.129665
clipper	0.129434
"ATLANTA FALCONS"	0.128949
"Oakland Raiders"	0.128797
"Baltimore Ravens"	0.128555
"Vancouver Grizzlies"	0.128351
"Tampa Bay Lightning"	0.127373
"Tennessee Titans"	0.127279
"Dallas Cowboys"	0.126614
"Miami Fusion"	0.126515
"Nashville Predators"	0.124927
Lakers	0.124814
"New England Patriots"	0.124042
"Colorado Avalanche"	0.123871
"Minnesota Twins"	0.123169
"Montreal Canadiens"	0.122716
"Philadelphia Eagles"	0.12119
"New York Giants"	0.120654
"Dallas Stars"	0.120617
"Seattle Seahawks"	0.120409
"New Jersey Devils"	0.11966
"New York Islanders"	0.116602
Charlotte	0.116333
"Oakland Athletics"	0.116053
"Boston Bruins"	0.116035
"New York Jets"	0.11597
"St. Louis Rams"	0.115892
"St. Louis Cardinals"	0.115431
"Dallas Burn"	0.114812
"Florida Panthers"	0.113693
Timberwolves	0.113146
"Mighty Ducks"	0.113097
"Carolina Panthers"	0.112911
MetroStars	0.112781
cavalier	0.112338
"Houston Astros"	0.111947
"Pittsburgh Penguins"	0.11182
pacer	0.110953
"Carolina Hurricanes"	0.110402
"Denver Broncos"	0.109485
"Texas Rangers"	0.108754
"New York Mets"	0.10833
"Tampa Bay Devil Rays"	0.107934
"Ottawa Senators"	0.107764
"Washington Mystics"	0.107651
"San Jose Sharks"	0.107307
Knicks	0.107199
"Colorado Rockies"	0.107015
"Kansas City Royals"	0.106985
"Chicago Cubs"	0.106553
BEARS	0.10585
"Trail Blazers"	0.10584
"New York Rangers"	0.105594
"D.C. United"	0.105587
"Philadelphia Flyers"	0.104869
Redskin	0.10473
"Anaheim Mighty Ducks"	0.104214
Seahawks	0.10369
"Toronto Blue Jays"	0.103186
"Maple Leafs"	0.102614
"Los Angeles Galaxy"	0.102309
"Los Angeles Dodgers"	0.102272
maverick	0.102223
"Pittsburgh Pirates"	0.10061
"Florida Marlins"	0.100218
"Arizona Diamondbacks"	0.100148
"Tampa Bay Buccaneers"	0.0999245
"Cleveland Indians"	0.0988576
"Cincinnati Reds"	0.0985819
"San Diego Padres"	0.0979157
"Boston Red Sox"	0.0978974
nugget	0.0977686
Raptor	0.0976375
"Baltimore Orioles"	0.0975592
"Buffalo Sabres"	0.0974268
"Montreal Expos"	0.0972142
"Detroit Tigers"	0.096241
"Red Wings"	0.0959722
"Philadelphia Phillies"	0.0959519
Giants	0.0949033
"Pittsburgh Steelers"	0.0944391
"White Sox"	0.0940701
sixer	0.0939321
hawk	0.0938647
"Tar Heels"	0.0934383
"St. Louis Blues"	0.0931641
diamondback	0.0927238
bull	0.0922611
Sonics	0.0919297
"Chicago White Sox"	0.0910733
Canuck	0.0908443
Phillies	0.0907974
islander	0.0907486
Canadiens	0.0907296
grizzly	0.0904744
"Seton Hall"	0.0902712
oiler	0.0898178
panther	0.0897394
packer	0.0894174
"Atlanta Thrashers"	0.0872901
Starzz	0.0868511
Eagles	0.0867726
"Seattle Mariners"	0.0864146
"Green Bay"	0.0862668
"Tampa Bay"	0.0861883
"Anaheim Angels"	0.0860727
"New York Yankees"	0.0856362
raider	0.0851191
ram	0.0850162
"Seibu Lions"	0.0848309
flyer	0.0847533
Raven	0.0843659
"Fighting Irish"	0.084143
"San Francisco Giants"	0.0834887
Blackhawks	0.0827609
"Golden State"	0.0825313
"Team USA"	0.0824827
Bengals	0.0820199
A's	0.0817759
bruin	0.0815737
"Atlanta Braves"	0.0814639
"AC Milan"	0.0814442
falcon	0.0813196
Viking	0.0809783
Boilermakers	0.0809724
thrasher	0.0806968
Carolina	0.0804655
"CHARLOTTE STING"	0.0804022
Orioles	0.0801996
Padre	0.0801508
dolphin	0.0799634
charger	0.079907
Orlando	0.0792051
wildcat	0.0789552
Cavs	0.0788308
"Chicago Fire"	0.0784384
Villanova	0.0781759
marlin	0.0779963
sabre	0.0771511
"blue jay"	0.0769033
Gonzaga	0.0761136
cardinal	0.0760399
Nicol	0.0751518
"Mississippi State"	0.0750191
))
("Charlotte Motor Speedway" (desc 1210.5) (sims
"Motor Speedway"	0.27306
"Texas Motor Speedway"	0.179391
"Atlanta Motor Speedway"	0.15066
Pir	0.14541
TM	0.143203
"Daytona International Speedway"	0.134496
NHIS	0.131313
"Watkins Glen"	0.130234
"Suffolk Downs"	0.126677
"Las Vegas Motor Speedway"	0.122054
Pocono	0.121669
Martinsville	0.117083
Irwindale	0.116436
cm	0.112915
"California Speedway"	0.112453
Daytona	0.110903
"Pikes Peak"	0.110685
"Nagano Winter Olympics"	0.106064
"Indianapolis Motor Speedway"	0.105146
Brickyard	0.10415
"Talladega Superspeedway"	0.101816
"New Hampshire International Speedway"	0.100958
Lowe	0.100024
IMS	0.0957958
Indy	0.0933634
"Oaklawn Park"	0.0927023
"Sears Point"	0.0923787
Talladega	0.09082
Darlington	0.08844
"Gulfstream Park"	0.0876741
speedway	0.0876226
"Olympic Winter Games"	0.0864921
"Fair Grounds"	0.0835763
"World Cycling Championships"	0.0823135
"Le Mans"	0.0783903
"Lake Louise"	0.0764577
Dover	0.0760878
Rockingham	0.0753619
"Michigan Speedway"	0.0753555
Monza	0.0735649
"Churchill Downs"	0.0724933
"Shrine Auditorium"	0.072376
Suzuka	0.0720856
AMs	0.0717515
"World Cup Finals"	0.0715592
Loudon	0.0707339
"Phoenix Open"	0.0706383
SkyDome	0.0703985
Gulfstream	0.0700295
Eastbourne	0.068641
Fontana	0.0659491
"Joyce Theater"	0.0653353
"Santa Anita"	0.0644228
Hakuba	0.0641609
"World Health Assembly"	0.0637387
Silverstone	0.0632019
"Asian Winter Games"	0.0626744
"Gomez Advisors"	0.0613583
"Barcelona Games"	0.0590955
"Nagano Olympics"	0.0587055
"Italian Open"	0.0586842
Bormio	0.0585536
Lahti	0.0582912
"German Open"	0.0576013
"Stade Velodrome"	0.0573856
Keeneland	0.0566294
"Augusta National Golf Club"	0.0566121
"Memorial Tournament"	0.0554304
"Exposition Park"	0.0554094
Sestriere	0.0549083
"soda fountain"	0.0547649
"Delta Center"	0.0547249
Innsbruck	0.0546881
"Dorothy Chandler Pavilion"	0.0526369
Kitzbuehel	0.0519538
"carriage house"	0.0514703
"Cannes International Film Festival"	0.0513575
"Buick Invitational"	0.0513401
"Market Square Arena"	0.0499934
"Wrigley Field"	0.0499654
"Monte Carlo"	0.0499399
Pinehurst	0.0499081
"RCA Dome"	0.0493655
Belfry	0.0492675
"World Table Tennis Championships"	0.0492361
"Del Mar"	0.0486283
"Sydney Opera House"	0.0483935
"First Union Center"	0.0480274
"Millennium Dome"	0.0479823
"Kennedy Center"	0.0478837
"Walter Reade Theater"	0.0477974
"Lone Star"	0.0472968
"track meet"	0.047011
"nearly $@@"	0.0468843
"Conseco Fieldhouse"	0.0468292
"Carnegie Hall"	0.0464477
"British Grand Prix"	0.0463574
"Western Open"	0.0461551
"Jewish Museum"	0.0461061
half-staff	0.0460104
"Pepsi Center"	0.0459867
Heerenveen	0.045909
Kemper	0.045449
"Lone Star Park"	0.0452706
"Brooklyn Academy of Music"	0.0447625
"Mobutu Sese Seko"	0.0439584
"bankruptcy protection"	0.0439342
airman	0.0439005
"Pinehurst No. @"	0.0435944
"Waldorf-Astoria Hotel"	0.0434371
"Hong Kong Stock Exchange"	0.0434196
"East Asian Games"	0.0433409
"Derby County"	0.0427547
"Park City"	0.042723
"Oak Tree"	0.0425637
"Hong Kong Convention and Exhibition Center"	0.0425435
"Continental Arena"	0.0420566
"Oakland Coliseum"	0.0416563
"Basketball Championship"	0.0415187
"Scottish Parliament"	0.0414309
"Cannes Film Festival"	0.041289
"Edison Field"	0.0411493
"P.S @@@"	0.0410727
Superdome	0.0409221
"Comiskey Park"	0.0408589
"National Games"	0.0407299
Aqueduct	0.040705
"Indian Wells"	0.0405431
"World Figure Skating Championships"	0.0404609
))
("CHARLOTTE STING" (desc 896.721) (sims
"New York Liberty"	0.2838
"Phoenix Mercury"	0.277744
"Miami Fusion"	0.240764
"Dallas Burn"	0.219569
"Houston Comets"	0.212477
"New York-New Jersey MetroStars"	0.193783
"Calgary Flames"	0.160483
"Chicago Fire"	0.15252
"Los Angeles Sparks"	0.144695
"Nashville Predators"	0.143018
"Ottawa Senators"	0.135801
Nicol	0.133969
"Minnesota Timberwolves"	0.133853
"Toronto Maple Leafs"	0.133555
"Pittsburgh Penguins"	0.126554
"Seibu Lions"	0.123199
"Phoenix Coyotes"	0.12261
"Cleveland Cavaliers"	0.121346
"Miami Heat"	0.118757
"Beijing Ducks"	0.118581
"Yokohama Baystars"	0.117532
"Buffalo Sabres"	0.116764
"Los Angeles Galaxy"	0.1157
"Washington Capitals"	0.112526
"Jackson State"	0.111508
"Edmonton Oilers"	0.111327
"D.C. United"	0.111295
"Portland Trail Blazers"	0.108787
"Vancouver Grizzlies"	0.107493
"Carolina Hurricanes"	0.107291
"Anaheim Mighty Ducks"	0.107253
"San Antonio Spurs"	0.107152
"Atlanta Hawks"	0.106883
"Seattle SuperSonics"	0.106691
"Fighting Irish"	0.10668
"Guangdong Hongyuan"	0.106657
"Minnesota Twins"	0.105866
"Baltimore Colts"	0.105649
"Tampa Bay Lightning"	0.10553
"Indiana Pacers"	0.105222
"Golden State Warriors"	0.104125
"Jinan Taishan"	0.103616
"Florida Panthers"	0.103318
"Vancouver Canucks"	0.103245
"Utah Jazz"	0.103087
"Denver Nuggets"	0.103
"San Diego Chargers"	0.102133
"San Jose Sharks"	0.101754
"three match points"	0.100473
"Trail Blazers"	0.0997661
"Milwaukee Brewers"	0.0996979
Utes	0.098951
"Sacramento Kings"	0.0985561
"Dallas Mavericks"	0.0983468
"Colorado Avalanche"	0.0979347
"Houston Astros"	0.0976563
"Milwaukee Bucks"	0.0970719
"break of serve"	0.0967258
"Philadelphia Flyers"	0.096148
"Team USA"	0.0953045
MetroStars	0.0949911
"Phenix City"	0.0942171
"Bayi Rockets"	0.0939031
"Australian Mark Philippoussis"	0.093888
"Barbara Schett"	0.0938785
"Tennessee Titans"	0.0936546
"Arizona Diamondbacks"	0.0932045
"Utah State"	0.0931014
Nacional	0.092972
"Phoenix Suns"	0.0929003
"Chinese Army"	0.0921022
"Sandrine Testud"	0.0920687
"Liaoning Hunters"	0.0917013
"Detroit Red Wings"	0.0913175
"River Plate"	0.0908736
"Shandong Flaming Bulls"	0.0907681
"Indianapolis Colts"	0.0903762
"Montreal Canadiens"	0.0900782
Palmeiras	0.0895855
"San Francisco Giants"	0.0894583
Villanova	0.0893236
Wolfpack	0.0892806
"Fresno State"	0.0892068
"Guangzhou Apollo"	0.0889389
"New York Rangers"	0.0887839
"Indiana State"	0.0881716
"Kansas City Royals"	0.0879264
Jansher	0.0877726
"Washington Mystics"	0.0872314
"Mississippi State"	0.087137
"Seattle Seahawks"	0.0871341
"two match points"	0.0870516
"Iva Majoli"	0.0868574
"American Chanda Rubin"	0.0866705
spikers	0.0866102
"Chicago Bears"	0.0865637
Susanti	0.0865349
"Chicago Blackhawks"	0.0864723
"Arizona Cardinals"	0.0860463
"Philadelphia Phillies"	0.0859857
"Detroit Tigers"	0.0859525
"Qingdao Hainiu"	0.0857028
"Maple Leafs"	0.0849193
"Montreal Expos"	0.0848904
"American Michael Chang"	0.0847893
"VfB Stuttgart"	0.0837231
"Tampa Bay Devil Rays"	0.0830166
"Louisiana Tech"	0.0828696
"Boston Bruins"	0.0820641
Kasparov	0.0819253
"Buffalo Bills"	0.0819233
Terps	0.0818571
"Seattle Mariners"	0.0817272
Testud	0.0815991
Timberwolves	0.0815114
"Horned Frogs"	0.0814542
"Oakland Athletics"	0.0808425
"Ai Sugiyama"	0.0807835
"Charlotte Hornets"	0.0804022
Mantilla	0.0803845
"Wake Forest"	0.0801365
"Red Star"	0.0798994
"Ball State"	0.0793021
"Fernando Meligeni"	0.079278
"Kansas City Chiefs"	0.0789625
"Colorado Rockies"	0.0787104
"Renzo Furlan"	0.0786517
"Seton Hall"	0.0785015
"Houston Rockets"	0.0783159
"Orlando Magic"	0.0782991
Waldner	0.0781308
"Sichuan Quanxing"	0.0779205
rebounders	0.0778592
"Solheim Cup"	0.0774422
Ivoire	0.0773903
Springbok	0.0773793
"Shanghai Shenhua"	0.0773129
"Dallas Stars"	0.0766266
"Chinese Taipei"	0.0765626
"Weber State"	0.0764892
"Washington Wizards"	0.0764497
"St. Louis Blues"	0.0763553
"Denver Broncos"	0.0763265
"Velez Sarsfield"	0.0759951
"Colorado State"	0.0759192
"Barbara Paulus"	0.0757833
"Atlanta Thrashers"	0.0755469
"Toronto Blue Jays"	0.0751432
Maruyama	0.0750591
"Toronto Raptors"	0.0749206
"Arnaud Di Pasquale"	0.074795
"Dallas Cowboys"	0.0747725
CUF	0.0747474
"Michael Grant"	0.0746794
terrapin	0.0745028
"New York Knicks"	0.0740827
"Wayne Black"	0.073719
"Los Angeles Dodgers"	0.073627
"Jacksonville Jaguars"	0.0734987
"Cleveland Indians"	0.0734786
"San Diego Padres"	0.0733976
Lucic	0.0732569
"Boston Red Sox"	0.0732375
Purdue	0.0731543
"New York Islanders"	0.0730297
"Florida Marlins"	0.0727831
"Green Bay Packers"	0.0727424
Supersonics	0.0723604
"Ma Lin"	0.0723143
Razorback	0.0722956
"Miami Dolphins"	0.0721594
Necaxa	0.072037
"Nathalie Tauziat"	0.0719623
Starzz	0.0719502
"South African Amanda Coetzer"	0.0716622
"Yayuk Basuki"	0.0716544
Corretja	0.0715402
Kashima	0.0713971
gopher	0.0710816
"Nevada-Las Vegas"	0.0710694
"Van Roost"	0.0710275
Gremio	0.0709691
"New York Giants"	0.0709673
Gonzaga	0.0709562
"Atlantic Coast Conference"	0.0708686
bearcat	0.0708609
"New Jersey Devils"	0.0707302
"St. Louis Cardinals"	0.0706757
"LA Lakers"	0.0705538
"Pittsburgh Pirates"	0.0704776
"Bafana Bafana"	0.0703482
"Catalina Cristea"	0.0703412
"Todd Martin"	0.0701888
"Cincinnati Reds"	0.0701602
"Anaheim Angels"	0.0700832
"Anne-Gaelle Sidot"	0.0700788
"Southwest Missouri State"	0.0697485
"Chicago White Sox"	0.0695909
"Arizona State"	0.0693507
"second unit"	0.0691672
))
(Charlottesville (desc 3179.97) (sims
"Virginia Beach"	0.139321
Reston	0.137416
Herndon	0.134105
Lynchburg	0.130763
Roanoke	0.121302
Dulles	0.114889
Fairfax	0.113098
Blacksburg	0.110628
Harrisburg	0.105631
Alexandria	0.102681
"Culver City"	0.100146
"Baton Rouge"	0.0997275
Richmond	0.0983863
Englewood	0.0983099
"Fairfax County"	0.097033
Morristown	0.0923079
Honolulu	0.0913985
"Saratoga Springs"	0.0910061
Norfolk	0.0879715
Hillsboro	0.0879645
"Little Rock"	0.0877653
McLean	0.0865296
Lenexa	0.0859082
Petersburg	0.0852584
Arlington	0.08516
Williamsburg	0.0847998
"La Jolla"	0.0841222
Eugene	0.0834822
Northampton	0.0831932
Greenville	0.0831011
Woodbridge	0.0830254
Spokane	0.0827815
Smithfield	0.0827305
Falmouth	0.0822704
TALLAHASSEE	0.0818781
"New London"	0.0805693
Dearborn	0.0803838
Bloomington	0.0791575
Yorktown	0.0789633
Amarillo	0.0789508
Chatham	0.0787259
Haicheng	0.0786792
Bangor	0.0785189
"Fort Lee"	0.078252
"South San Francisco"	0.0773029
Lawrenceville	0.0764936
Evanston	0.0764825
Burlingame	0.0760537
Albuquerque	0.0759411
Provo	0.0751905
Tucson	0.075189
Langley	0.0751851
Missoula	0.0751301
Lexington	0.075015
Ashland	0.0742411
"Buena Vista"	0.073844
Minneapolis	0.0734003
"Silver Spring"	0.0731351
Tarrytown	0.0726984
"Walnut Creek"	0.0725827
Springfield	0.07233
Petaluma	0.0722209
"Santa Monica"	0.0720457
"Ann Arbor"	0.0718893
Tampa	0.0718627
Fredericksburg	0.0718206
anchorage	0.0714034
Danville	0.0713935
"Santa Ana"	0.0713196
Fresno	0.0710716
Louisville	0.0710063
Charleston	0.0707107
"Santa Fe"	0.0706542
"Wichita Falls"	0.0705876
Omaha	0.0701315
Bethesda	0.0700793
Huntsville	0.070048
Tempe	0.0697558
Raleigh	0.0695805
"El Segundo"	0.0695037
"Oklahoma City"	0.0690514
Winchester	0.0688282
"Colorado Springs"	0.0682108
"Redwood City"	0.068144
Rochester	0.0681013
Wilmington	0.0679489
"White Plains"	0.0678449
"Mount Vernon"	0.0678235
Sarasota	0.0677105
Williamstown	0.0672415
Farmington	0.0672337
Ithaca	0.0671403
"Fort Lauderdale"	0.067059
Gainesville	0.0668658
Reykjavik	0.0664032
"Chapel Hill"	0.0661441
Halifax	0.0657445
bethel	0.0657173
"Crystal City"	0.0656404
"Westlake Village"	0.0656129
Murmansk	0.0655319
"Palo Alto"	0.0655189
Peshawar	0.0652745
"Fort Worth"	0.065006
"Newport Beach"	0.0642936
CANCUN	0.0641697
"Vero Beach"	0.0640127
Lubbock	0.0639682
Haifa	0.0639279
Emeryville	0.0639237
Knoxville	0.0636922
"Grand Rapids"	0.0636484
Bloemfontein	0.0635672
Claremont	0.0633095
Allentown	0.0632381
"San Juan"	0.0627543
Greensboro	0.0627104
"Union City"	0.0626808
Birmingham	0.0625932
"Santa Rosa"	0.0625035
Poughkeepsie	0.0617919
Laramie	0.0617309
"St. Petersburg"	0.0616502
"Banja Luka"	0.0615264
Clearwater	0.0614906
"Century City"	0.0613917
"Siem Reap"	0.06139
Bridgeport	0.0613368
Gloucester	0.0612197
Oaxaca	0.0611158
Albany	0.0609624
Pasadena	0.0609185
"Overland Park"	0.0608118
"Research Triangle Park"	0.0606374
Bellevue	0.060573
Columbus	0.0605613
Ojai	0.0602927
Bloomfield	0.0602265
"Gwinnett County"	0.0601708
Shreveport	0.0600188
Bradenton	0.0599535
"Yosemite National Park"	0.0595217
"Des Moines"	0.0594472
Topeka	0.0594046
Portsmouth	0.0592996
Newark	0.0592979
Amherst	0.059208
Montclair	0.0591796
Aden	0.0590359
Savannah	0.0590241
Peoria	0.058965
Burlington	0.0589579
Framingham	0.0589025
"Santa Barbara"	0.0588454
"Midtown Manhattan"	0.0588171
"El Paso"	0.0587713
"West Palm Beach"	0.0587497
Wallingford	0.0587466
"Key West"	0.0585532
Pensacola	0.058485
Memphis	0.0584359
Monrovia	0.0584297
Sausalito	0.0584262
"Cedar Rapids"	0.058404
"Mountain View"	0.0583812
"Palm Springs"	0.0583586
Dakar	0.0583493
Greenwich	0.0581096
Nashua	0.0579458
"Palm Beach Gardens"	0.0578702
Luanda	0.0578463
Cambridge	0.0577675
CARACAS	0.0576805
"Great Neck"	0.0576733
Deerfield	0.0576396
Ensenada	0.0575606
Asmara	0.057484
TUNIS	0.057409
Montgomery	0.0574052
Prizren	0.0574034
Burbank	0.0572767
Managua	0.0572628
Alpharetta	0.0572261
"Santa Cruz"	0.0571931
"College Station"	0.0570644
WARSAW	0.0569309
Norwalk	0.0568967
ASHEVILLE	0.0566966
Americus	0.0566249
Amman	0.0566021
"Thousand Oaks"	0.0565281
"Beverly Hills"	0.0564981
Westport	0.0564684
Winston-Salem	0.0564181
"West Hollywood"	0.0563965
"Miami Beach"	0.0563661
"Fort Myers"	0.0562667
Skopje	0.0562527
Tuscaloosa	0.0562269
"College Park"	0.0559945
))
(Charlton (desc 5509.65) (sims
"Derby County"	0.222753
"Nottingham Forest"	0.212827
"Coventry City"	0.209076
"Leicester City"	0.189029
Everton	0.188305
"Bradford City"	0.188104
Middlesbrough	0.186446
Leeds	0.181401
Newcastle	0.175569
"Newcastle United"	0.168939
"Blackburn Rovers"	0.156544
"West Ham United"	0.156081
Coventry	0.153915
Blackburn	0.153767
"Leeds United"	0.151983
Watford	0.147704
"Aston Villa"	0.144815
Liverpool	0.142805
Southampton	0.140795
Sunderland	0.138879
Leicester	0.138247
"West Ham"	0.133219
Orosco	0.128367
Tottenham	0.127211
"Crystal Palace"	0.114808
Kaiserslautern	0.111558
"Manchester United"	0.111253
Sheffield	0.109252
Anderlecht	0.108212
Alaves	0.107917
"Tottenham Hotspur"	0.107912
Crewe	0.106399
Metz	0.104958
Chelsea	0.103987
Perugia	0.10274
Villareal	0.101283
Bolton	0.100881
Ipswich	0.100483
Brondby	0.0988901
Penarol	0.0982519
Bastia	0.0976594
Shenhua	0.0970742
Besiktas	0.0956872
Barnsley	0.0949761
"Olympique Marseille"	0.0949589
"Borussia Moenchengladbach"	0.0948684
Norwich	0.0926014
Fulham	0.092084
Betis	0.090848
Independiente	0.0906268
Gremio	0.0899016
Schalke	0.0899007
Espanyol	0.089744
Venezia	0.0875697
Extremadura	0.0872262
Fiorentina	0.0872162
Torino	0.087188
Tenerife	0.0860357
Feyenoord	0.0857761
Nottingham	0.0855745
"Athletic Bilbao"	0.0855196
"VfL Wolfsburg"	0.0848913
"Atletico Madrid"	0.0843471
"Real Sociedad"	0.08427
Tomko	0.0841176
Freiburg	0.0839141
Galatasaray	0.0833284
Bradford	0.0830104
"Nicole Pratt"	0.0818526
Sampdoria	0.0818282
"Partizan Belgrade"	0.081589
Heerenveen	0.0813471
Lecce	0.0810199
Dickson	0.0806082
Porto	0.0804903
Arsenal	0.0803956
"San Lorenzo"	0.0798754
Benfica	0.0798638
Valladolid	0.0798387
Moehler	0.0798188
Duisburg	0.0798048
"Werder Bremen"	0.0796778
Udinese	0.0795994
Hasegawa	0.0795143
"Boca Juniors"	0.0790396
Percival	0.0787951
Moyer	0.0782359
"Tara Snyder"	0.0782083
Osuna	0.0780039
"River Plate"	0.077311
Leverkusen	0.0772977
"Joannette Kruger"	0.0764196
Bottenfield	0.0763692
Celta	0.0762859
"Rita Grande"	0.0761922
Nagy	0.0757726
Salamanca	0.075717
"PSV Eindhoven"	0.0756043
Wolfsburg	0.0754568
"Sichuan Quanxing"	0.0753697
Rostock	0.0752276
"Dynamo Kiev"	0.075212
"Xavier Malisse"	0.0751654
Auxerre	0.0749223
Raoux	0.0745862
Salernitana	0.0745064
Palmeiras	0.0744318
Fenerbahce	0.0743
"VfB Stuttgart"	0.0741397
Portsmouth	0.0741194
Zaragoza	0.0740597
"Steve Campbell"	0.0738491
Ajax	0.0736961
Lieber	0.073657
Bayern	0.0734369
Gimelstob	0.0734105
Sugiyama	0.0733721
"Red Star"	0.0732702
"Barbara Schwartz"	0.0728445
"Celta Vigo"	0.0727938
Stoltenberg	0.0726976
AEK	0.0725819
Mantei	0.0725298
"Schalke @@"	0.0724586
"Borussia Dortmund"	0.0722992
"Els Callens"	0.0720686
"Patty Schnyder"	0.0720472
Panathinaikos	0.0717996
"Deportivo Coruna"	0.0717969
Meligeni	0.071498
Rusch	0.0714496
Gooden	0.0711836
Empoli	0.070988
Sevilla	0.070866
"Rainer Schuttler"	0.0707851
Pavano	0.0707841
Dosedel	0.0707691
"AC Milan"	0.0707392
Washburn	0.0706813
Atletico	0.0704586
Baerga	0.0704269
"Albert Portas"	0.0703647
Bari	0.0703184
Rosenborg	0.0702778
Valencia	0.0702721
Nacional	0.0701114
Sanchez-Vicario	0.0700273
Olimpia	0.0700089
Hentgen	0.0698601
Dragomir	0.0698283
"Olympiakos Piraeus"	0.069759
Internazionale	0.0696967
Maribor	0.0696426
Prinosil	0.069641
Edberg	0.0695028
"Dalian Wanda"	0.0694436
"Javier Sanchez"	0.0694365
"Guangzhou Apollo"	0.0690541
Cruzeiro	0.0689919
Obilic	0.0689104
"Barbara Rittner"	0.0688573
Trachsel	0.0688423
"Phenix City"	0.0687373
"Qingdao Hainiu"	0.0684255
"Adrian Voinea"	0.068398
"Renzo Furlan"	0.0683815
Bere	0.0683227
Flamengo	0.0681942
"Sarah Pitkowski"	0.0681791
Bruguera	0.0681566
Saberhagen	0.0681413
Spartak	0.0681187
"Hernan Gumy"	0.068069
Parma	0.0680583
Ulihrach	0.0680033
Capriati	0.067736
Mulholland	0.0676599
"Marcelo Filippini"	0.0675171
"Paola Suarez"	0.0675071
Estudiantes	0.0674663
ham	0.0673294
Meadows	0.0672326
Johansson	0.0671006
"MaliVai Washington"	0.0670582
"Florencia Labat"	0.0670509
"Chinese Army"	0.0669231
"Catalina Cristea"	0.0667392
Cagliari	0.066359
"Arnaud Boetsch"	0.0662845
"Neville Godwin"	0.0661881
Necaxa	0.0659247
"Asa Carlsson"	0.0657308
Okada	0.0657289
Olympiakos	0.0654057
"Judith Wiesner"	0.0653927
Larsson	0.0653926
"Inter Milan"	0.0650015
Wendell	0.0649391
"Paul Goldstein"	0.0648763
"Alexandra Fusai"	0.0648705
))
("Charlton Heston" (desc 5866.8) (sims
Heston	0.177357
"Joseph Estrada"	0.11374
"Robert DeNiro"	0.113182
"Tom Selleck"	0.107163
"Christopher Reeve"	0.10664
"Henry Fonda"	0.103347
"Jack Lemmon"	0.0976131
"Gary Cooper"	0.0968008
"Brian Dennehy"	0.0928558
"Kirk Douglas"	0.0919148
"Harrison Ford"	0.0899763
"Arnold Schwarzenegger"	0.087815
"Juan Antonio Samaranch"	0.0869578
"Jack Valenti"	0.0863553
"Sean Connery"	0.0859465
"Sepp Blatter"	0.0855246
"Warren Beatty"	0.083166
"John Wayne"	0.0829239
"Alec Baldwin"	0.0822344
"Jackie Chan"	0.0802765
"James Woods"	0.079893
"Wim Duisenberg"	0.0789964
"Kevin Bacon"	0.0788597
"Dustin Hoffman"	0.0786169
"Marlon Brando"	0.0781852
"Richard Dreyfuss"	0.0779863
"Gregory Peck"	0.0777773
"Steve Ballmer"	0.0775007
"Michael Douglas"	0.0770589
"Cary Grant"	0.076468
"John Sweeney"	0.0762138
"Leonardo DiCaprio"	0.075757
"Matthew McConaughey"	0.0755971
"Paul Newman"	0.0755794
"Dennis Quaid"	0.0755477
"Tom Cruise"	0.0750374
"Edward Norton"	0.0750279
"James Stewart"	0.0747698
"Robert Redford"	0.0742858
"Vaclav Havel"	0.0742068
"Elizabeth Taylor"	0.0736194
"Michael J. Fox"	0.0735852
"Chevy Chase"	0.0733923
"Bud Selig"	0.0732886
"Stanley Tucci"	0.0715071
"Kim Dae Jung"	0.0710805
"Bruce Willis"	0.070941
"Kevin Costner"	0.0708201
"Jim Carrey"	0.0707512
"Fernando Henrique Cardoso"	0.0706266
"Martti Ahtisaari"	0.0704955
"Brad Pitt"	0.0703465
"Dave Checketts"	0.0702877
"John Travolta"	0.0701378
"Christian Slater"	0.0696011
"Tommy Lee Jones"	0.0689935
"Samuel L. Jackson"	0.06886
"Walter Matthau"	0.068684
"Clint Eastwood"	0.0685767
"Martin Sheen"	0.0682922
"James P. Hoffa"	0.0681166
"Aslan Maskhadov"	0.0678775
"Kate Winslet"	0.067567
"Jack Nicholson"	0.0672374
"Jacques Santer"	0.0671832
"Patrick Stewart"	0.0670174
"Bill Murray"	0.0670069
Costner	0.0665482
"Tom Hanks"	0.0663443
"Sidney Poitier"	0.06608
"Roberto Benigni"	0.0659887
"Denzel Washington"	0.0656931
"Hugh Grant"	0.0654007
"Cameron Diaz"	0.0653727
"Ricardo Alarcon"	0.0653691
"Matthew Broderick"	0.0652972
"Jimmy Stewart"	0.064185
"Mark Wahlberg"	0.0641012
"David Duchovny"	0.0640456
"Biljana Plavsic"	0.0639872
"Clark Gable"	0.0638653
"Bette Davis"	0.0636286
"Sonia Gandhi"	0.0632646
"Jacques Chirac"	0.0632636
"AL PACINO"	0.0631386
"Burt Reynolds"	0.0630947
"Mohammad Khatami"	0.0625683
"Kevin Spacey"	0.0625186
"Jamie Foxx"	0.0623482
Zeroual	0.0622367
"Nikola Poplasen"	0.0622033
"James Barksdale"	0.0619822
"Rob Lowe"	0.061945
"Tom Welch"	0.0615774
Keaton	0.0614628
"William Shatner"	0.0612344
"Woody Harrelson"	0.0612038
"Michael Caine"	0.0611643
"Gene Hackman"	0.0607129
"Franz Beckenbauer"	0.0605018
"Chea Sim"	0.0599452
"Bob Hope"	0.0599148
"Jon Voight"	0.0599079
"Robin Williams"	0.0597734
"Dwight D. Eisenhower"	0.0593633
"Robert de Niro"	0.0593619
"James Van Der Beek"	0.0592795
Stoyanov	0.0588828
"Will Smith"	0.058717
"Abdurrahman Wahid"	0.0586277
"James Cagney"	0.0586021
"Johnny Depp"	0.0584946
"Akira Kurosawa"	0.0584297
"Spencer Tracy"	0.0583347
Beatty	0.0581099
"Richard Gere"	0.0579629
"Barbra Streisand"	0.0578215
Nazarbayev	0.0576245
"Geoffrey Rush"	0.0576128
"Franjo Tudjman"	0.0574957
"William H. Macy"	0.0574933
"George Clooney"	0.0574796
"Russell Crowe"	0.0572146
"Errol Flynn"	0.0571208
"Andres Pastrana"	0.0570664
"Antonio Banderas"	0.0566471
"Mel Karmazin"	0.0564757
"Sylvester Stallone"	0.0564343
"Jamil Mahuad"	0.0562042
"Joao Havelange"	0.0561892
"Marilyn Monroe"	0.0561457
"Mel Gibson"	0.0561071
"Drew Barrymore"	0.0560423
Shui-bian	0.0559731
"Glenn Close"	0.0559718
"Ian Holm"	0.0559572
"Matt Damon"	0.0559512
"Jimmy Smits"	0.0558983
"Gerald Ford"	0.0558426
"Nigel Hawthorne"	0.0558047
"Ewan McGregor"	0.0553125
"Billy Bob Thornton"	0.0553057
"Olusegun Obasanjo"	0.0551697
"Humphrey Bogart"	0.0551277
"Ketumile Masire"	0.0549216
"Demi Moore"	0.0545883
"Hugo Chavez"	0.054526
Nebiolo	0.0544533
"Liam Neeson"	0.0543733
"Robert Downey Jr."	0.054217
"Thabo Mbeki"	0.0541969
"Janet Leigh"	0.0541548
"Indiana Jones"	0.0539384
"Sean Penn"	0.0537549
"Kirsten Dunst"	0.0535371
"Rupert Everett"	0.0535021
"Mikhail Gorbachev"	0.0533624
"Kenneth Branagh"	0.0527907
"Robert Mugabe"	0.0525904
"Girija Prasad Koirala"	0.0525713
"John Malkovich"	0.0525043
"Richard Burton"	0.0524742
Izetbegovic	0.0524548
"Dean Martin"	0.0522901
"Gwyneth Paltrow"	0.0522759
"Pierce Brosnan"	0.0522098
"Greta Garbo"	0.052207
"Wayne LaPierre"	0.0521745
"John Goodman"	0.0516081
"Julia Roberts"	0.0515139
"William Jefferson Clinton"	0.0512405
"Mitt Romney"	0.0512193
"Nathan Lane"	0.0512048
"Jason Alexander"	0.051124
"Ralph Fiennes"	0.051036
"Nicole Kidman"	0.0508766
"Audrey Hepburn"	0.0508419
Damon	0.0507344
"Katharine Hepburn"	0.0506541
"John Adams"	0.050575
"Billy Payne"	0.0505638
"Ian McKellen"	0.0503749
"Harvey Keitel"	0.0503748
"Chow Yun-Fat"	0.0503097
Kwasniewski	0.0502749
"Ernesto Zedillo"	0.0502329
Eisner	0.0502153
DiCaprio	0.0500778
"Keanu Reeves"	0.0500563
"Wang Daohan"	0.0500211
"Jeremy Irons"	0.0499488
"Whoopi Goldberg"	0.0499286
"Steve Martin"	0.0499243
"Theodore Roosevelt"	0.0499161
Pastore	0.0498234
Blatter	0.0497775
"Dwight Eisenhower"	0.0497363
"Val Kilmer"	0.0496997
Sealy	0.0496683
"Kathy Bates"	0.0496183
))
(charm (desc 49745.6) (sims
wit	0.156383
humor	0.15109
charisma	0.145386
elegance	0.136854
warmth	0.131841
beauty	0.130443
"sense of humor"	0.125488
style	0.115278
personality	0.114233
talent	0.108624
grace	0.10836
flair	0.105795
glamour	0.105251
simplicity	0.104618
vitality	0.103519
wisdom	0.103428
poise	0.103314
subtlety	0.102888
courage	0.102753
smile	0.101202
dignity	0.100465
passion	0.0986919
sophistication	0.0982719
"good looks"	0.0981751
honesty	0.0968455
demeanor	0.0967027
originality	0.0966988
enthusiasm	0.0965693
aura	0.0964438
exuberance	0.0963707
sensibility	0.0962774
eloquence	0.0961954
intelligence	0.0944882
spontaneity	0.094236
Creativity	0.0936669
brilliance	0.0936654
toughness	0.0931378
skill	0.0929877
intensity	0.0928651
quality	0.092312
sense	0.0920129
strength	0.0917568
"good humor"	0.0911359
sweetness	0.0910523
Panache	0.0908461
clarity	0.0903297
compassion	0.0901832
energy	0.090064
excitement	0.0887533
joy	0.0885379
manner	0.0885067
emotion	0.0883108
spirit	0.0870629
allure	0.0867821
insight	0.0862568
grin	0.0861369
verve	0.0859664
persona	0.0849244
flavor	0.0845599
magic	0.0845144
character	0.0840303
vision	0.0837483
tone	0.0835297
irony	0.0830231
ability	0.0830099
sincerity	0.0826071
humility	0.0825395
pride	0.0819656
versatility	0.081865
finesse	0.081797
vigor	0.0817789
sensuality	0.0816979
modesty	0.0810945
ambience	0.0810717
MYSTIQUE	0.0809444
curiosity	0.0807617
"sex appeal"	0.0807139
patience	0.0805121
poignancy	0.0804453
tenderness	0.0799888
grandeur	0.0798247
richness	0.0797404
intellect	0.0795443
pleasure	0.0791134
earnestness	0.0790458
friendliness	0.0789882
spunk	0.0785937
ambition	0.0781925
empathy	0.0780856
Innocence	0.0780028
candor	0.0777196
bravado	0.0775656
complexity	0.0772171
confidence	0.0771876
nostalgia	0.0770651
taste	0.0769107
lyricism	0.0765054
laugh	0.075037
self-confidence	0.0749901
"common sense"	0.0746536
depth	0.0746191
directness	0.0746129
freshness	0.0743557
thrill	0.0743386
integrity	0.0743019
realism	0.0741202
swagger	0.0741189
pathos	0.0740997
determination	0.074038
precision	0.0736527
touch	0.0735037
voice	0.0734991
generosity	0.0733923
professionalism	0.0733354
athleticism	0.0733345
naivete	0.0731313
attitude	0.0723647
cachet	0.0720542
grit	0.0719818
intimacy	0.0719602
imagination	0.0718714
guile	0.0718329
love	0.0717028
accent	0.0715325
artistry	0.0714678
nuance	0.0714656
cockiness	0.0714271
resonance	0.0713868
tenacity	0.071075
image	0.0709657
ambiance	0.0709366
ease	0.0707072
optimism	0.0706842
temperament	0.0702649
savvy	0.0701835
tradition	0.0701085
Romance	0.0697216
virtue	0.0696438
nature	0.0694412
texture	0.069128
feeling	0.0690576
decency	0.0688893
trait	0.0687139
color	0.0684979
knowledge	0.068442
whimsy	0.0681946
seriousness	0.0677785
suspense	0.0677684
instinct	0.0677543
drama	0.0676318
authenticity	0.0675917
serenity	0.0675906
atmosphere	0.0675132
fun	0.0671962
acumen	0.0671579
experience	0.0669707
purity	0.0668525
power	0.0668318
mystery	0.066761
affection	0.0666895
sensitivity	0.0666157
appeal	0.0665382
characteristic	0.0660537
mood	0.0659871
meaning	0.0658444
agility	0.0657449
blend	0.0656903
vulnerability	0.0655891
stature	0.065579
immediacy	0.0653634
rhythm	0.0652999
wealth	0.0651719
loyalty	0.0647569
popularity	0.0646883
mannerism	0.0645865
presence	0.0644152
idealism	0.0642728
glory	0.0640851
sentimentality	0.0640614
ingenuity	0.0640174
stamina	0.0638977
accomplishment	0.0637723
boldness	0.0637709
influence	0.063562
composure	0.0633047
dedication	0.0632259
potential	0.0630479
genius	0.062952
breadth	0.0629254
soul	0.0629222
urgency	0.0625524
sound	0.0625333
prowess	0.0624552
dynamism	0.0616127
fluidity	0.0615782
heritage	0.0615146
comfort	0.0614944
symbolism	0.0614577
technique	0.0612972
quickness	0.0611685
))
(charmer (desc 4643) (sims
raconteur	0.0934302
showman	0.0839225
"young lady"	0.0743185
"good person"	0.0709979
psychopath	0.066282
wordsmith	0.0658463
overachiever	0.0655401
crowd-pleaser	0.0649542
motivator	0.0638611
"New Democrat"	0.0617841
storyteller	0.0617023
"hard worker"	0.060247
talker	0.0596936
dreamer	0.0590608
"character actor"	0.0588895
"traveling salesman"	0.058777
rascal	0.0568458
looker	0.05525
craftspeople	0.0551215
bloomer	0.0545325
craftsman	0.0545242
pleaser	0.0541193
juggler	0.0539376
dealmaker	0.0539355
neurotic	0.053817
"piece of work"	0.0537129
temptress	0.0537007
businesswoman	0.0535148
gadfly	0.0534616
stylist	0.053316
"con man"	0.0532852
songwriter	0.0530116
dribbler	0.053011
"second person"	0.0528904
puppeteer	0.0527999
communicator	0.0526378
stinker	0.0525789
tactician	0.0525142
manipulator	0.0521639
magician	0.0519775
schemer	0.0515685
"guitar player"	0.0515258
sociopath	0.05141
"love child"	0.0513874
paraplegic	0.0513485
trickster	0.0509298
loner	0.050835
"love story"	0.0504815
"risk taker"	0.0504674
clown	0.0504542
punchline	0.0502232
"press agent"	0.0501516
doer	0.050099
"opera star"	0.0498303
"Little Dog"	0.0497642
"leading lady"	0.0487308
"period piece"	0.0486581
"film star"	0.0486247
"stage director"	0.0484372
philanthropist	0.0483752
Midwesterner	0.0482857
scoundrel	0.0482449
"Parent Trap"	0.0481986
"con artist"	0.0480316
bloke	0.0478588
misnomer	0.0476843
tumbler	0.0474798
recluse	0.0474286
idealist	0.0473044
"music teacher"	0.0472187
bodybuilder	0.0468093
"free spirit"	0.0467852
Sportsman	0.0464964
crook	0.0461961
pianist	0.0461573
cipher	0.0459417
accompanist	0.0459408
Englishman	0.0458968
gung-ho	0.0456316
"pain in the neck"	0.0456272
"sounding board"	0.045479
classicist	0.0448237
"stage manager"	0.0447962
matron	0.0446705
unreality	0.0445691
"public speaker"	0.0443297
gentleman	0.0443183
comedian	0.0442891
"family man"	0.0442663
"guessing game"	0.0440448
perfectionist	0.0440029
ballplayer	0.0438237
violinist	0.0437922
"interior designer"	0.0437529
schooler	0.0435902
heiress	0.0435711
womanizer	0.0435538
Trailblazer	0.0435159
"black person"	0.0434477
adventurer	0.0434013
matchmaker	0.0433975
"film producer"	0.0433681
"art historian"	0.043294
antsy	0.0431706
ballerina	0.0430614
"good story"	0.0430378
miler	0.042983
animator	0.0428938
whore	0.0428714
choreographer	0.0428569
Bostonian	0.0427231
"movie star"	0.0426375
debater	0.0426227
prankster	0.042407
swinger	0.0424053
Everyman	0.0422359
geisha	0.0420002
pushover	0.0419905
tomboy	0.0419759
sleeper	0.0419332
"morality play"	0.0418025
showgirl	0.0417854
"hockey player"	0.0417105
realist	0.041667
"King Kong"	0.0416515
"chess player"	0.0415944
stuntman	0.0415496
travelogue	0.0413046
flutist	0.0412833
transvestite	0.0412713
lass	0.0412512
humanist	0.0412298
ingenue	0.0411688
"guardian angel"	0.0410867
"role player"	0.0410133
cellist	0.0409977
taskmaster	0.0407605
handicapper	0.0407059
crapshoot	0.0406861
optimist	0.0406771
provocateur	0.0406448
cinematographer	0.0406279
socialite	0.0406099
hypocrite	0.0405717
southpaw	0.040471
snob	0.0404463
whiner	0.040398
forger	0.0403838
goalscorer	0.0403803
decorator	0.0403632
sculptor	0.040307
"house guest"	0.0402591
achiever	0.040259
horseman	0.0402509
racer	0.0401441
"young actress"	0.0400184
"spin doctor"	0.0400162
))
(Charpentier (desc 1358.16) (sims
stevedore	0.103936
Carr	0.0837579
Quartey	0.0809037
Tapia	0.0790666
Gatti	0.0721729
Poughkeepsie	0.0706761
Hearns	0.0689382
Golota	0.0672865
Whitaker	0.0659068
Briggs	0.064425
Coetzer	0.0624438
Frazier	0.0615532
"Vojislav Kostunica"	0.060631
Moorer	0.0591181
Corretja	0.0578654
Turek	0.0554056
"Young America"	0.0553464
Campas	0.0552268
Ruelas	0.0545631
Longo	0.054464
Feyenoord	0.0539697
singleton	0.0531511
"Vaughn Bean"	0.052824
Savarese	0.0524
"Felix Trinidad"	0.0515906
Iomega	0.050769
"Ramon Delgado"	0.0497494
sid	0.0490117
Leedham	0.0486698
"Andres Pastrana"	0.0484546
"Roberto Duran"	0.0483778
Rennes	0.0483591
Cremins	0.0478819
Duran	0.0474487
Whipple	0.0470732
"Tara Snyder"	0.0465436
Evander	0.0458853
Heredia	0.0454177
Pendleton	0.0447497
McCullough	0.0441304
Bullard	0.0438891
Crocker	0.0438624
Lieberthal	0.0432271
Robby	0.0428826
Verona	0.0428268
Verniero	0.0428235
Aguirre	0.0427514
Mackenzie	0.0427442
Akinwande	0.0427247
Canty	0.0424929
beamer	0.0424321
"Dale Jr."	0.0422975
"Pernell Whitaker"	0.0419451
"Charles Haley"	0.0417668
"Evander Holyfield"	0.041669
Dickson	0.0416087
Durant	0.0415837
Eisenman	0.0415479
"Ike Quartey"	0.0415144
"Earnhardt Jr."	0.0408473
Randall	0.0407307
"Ford Focus"	0.0403338
Hagelin	0.0401403
))
(chart (desc 58898) (sims
map	0.147998
list	0.127683
Diagram	0.106501
graph	0.100188
ranking	0.0894275
photograph	0.0883822
picture	0.0879702
photo	0.0866951
calendar	0.0854966
page	0.0853054
text	0.0832469
illustration	0.0807783
video	0.0778744
brochure	0.0773317
document	0.0768954
roster	0.0767519
file	0.0759967
graphics	0.0757001
data	0.075216
book	0.074414
menu	0.0738026
statistic	0.0722494
manual	0.0708835
drawing	0.0708104
poster	0.070807
booklet	0.0691864
screen	0.0691572
card	0.0688777
catalog	0.0677695
timeline	0.067578
diary	0.0670942
image	0.0665628
information	0.0662942
profile	0.0661295
directory	0.0654907
note	0.0646239
album	0.0632735
sheet	0.0632504
tape	0.0630066
"newspaper clipping"	0.0626476
article	0.0623042
description	0.0620329
sketch	0.0616821
chronology	0.0615575
dictionary	0.0608757
database	0.0605741
transcript	0.0604108
paper	0.060357
pamphlet	0.0603544
guide	0.0603181
ladder	0.0599582
videotape	0.0598744
"Top @@"	0.0596844
painting	0.0595984
survey	0.0593674
material	0.0593461
summary	0.0592844
CD	0.0589512
listing	0.058856
shelf	0.0587367
table	0.0583677
"medical record"	0.0582571
story	0.0582016
clip	0.057617
spreadsheet	0.0576137
copy	0.057486
letter	0.057161
label	0.0571261
manuscript	0.056861
layout	0.0567699
stats	0.0567641
AD	0.0567625
textbook	0.0567597
script	0.0563912
recipe	0.0562768
headline	0.0560321
documentation	0.0558877
glossary	0.0557853
rating	0.0555828
analysis	0.055514
"financial statement"	0.0550686
box	0.0548699
guidebook	0.0545964
collection	0.0544237
print	0.0543346
biography	0.0539396
figure	0.0538986
newsletter	0.0537415
"news story"	0.0533645
poll	0.0533262
poem	0.0532188
cartoon	0.0531709
footage	0.0531699
model	0.0530568
history	0.0529422
essay	0.0529375
"newspaper article"	0.0527398
archive	0.0525554
advertisement	0.0525356
review	0.0523915
projection	0.0523424
grid	0.052282
code	0.0522269
postcard	0.0522224
checklist	0.0518209
logo	0.0517264
commentary	0.0516544
measurement	0.0514339
calculator	0.0514125
column	0.0511657
detail	0.051145
journal	0.0510993
anecdote	0.0510748
scorecard	0.0510573
yearbook	0.0510521
button	0.0510205
Encyclopedia	0.0509377
paragraph	0.0507838
pattern	0.0506706
printout	0.0505943
Recording	0.0504962
artifact	0.0501664
billboard	0.04989
sample	0.0498145
software	0.0495319
radar	0.0493097
literature	0.0491693
tally	0.0490986
scoreboard	0.0490867
format	0.0490098
notebook	0.0489792
news	0.048978
memo	0.0489219
message	0.04892
scale	0.0488596
scene	0.0487729
agenda	0.0487695
soundtrack	0.0487267
quotation	0.0486358
questionnaire	0.0485467
category	0.0483926
music	0.0482652
magazine	0.0482037
account	0.0480714
update	0.0480463
instruction	0.0478595
CD-ROM	0.0477578
certificate	0.0477111
"reference book"	0.0476925
cookbook	0.047568
prospectus	0.0473443
lyric	0.0472689
version	0.0472655
tip	0.0472326
publication	0.0470898
content	0.0469754
receipt	0.04662
"birth certificate"	0.0465741
leaflet	0.0464029
"medical history"	0.0463964
portrait	0.0462828
evidence	0.0460948
itinerary	0.0460853
lineup	0.0460706
indicator	0.0459633
blueprint	0.0457648
catalogue	0.0457591
instrument	0.0457369
Computer	0.0457246
dossier	0.0456986
forecast	0.045638
banner	0.045541
snapshot	0.045458
flier	0.0454348
animation	0.0454072
tool	0.0453459
edition	0.0452098
piece	0.045179
icon	0.0450916
inventory	0.0450151
registry	0.0450094
audio	0.044944
overview	0.0449224
Atlas	0.0449204
scrapbook	0.0448682
clock	0.0448535
sticker	0.0447474
comparison	0.0446678
trend	0.0446213
excerpt	0.0445971
index	0.0444925
portfolio	0.0443141
item	0.0442986
board	0.0442462
"tax return"	0.044227
caption	0.0442135
log	0.0442113
device	0.0439817
assessment	0.0439306
artwork	0.0439211
))
("Chart Pattana" (desc 1108) (sims
Gesher	0.143263
"New Aspiration Party"	0.13849
"Third Way"	0.127047
royalist	0.126657
"New Democracy"	0.126187
coming-out	0.125071
"Canadian Alliance"	0.124957
Lakas	0.124556
Yabloko	0.121296
UML	0.120696
"Democratic Left"	0.115433
"National League for Democracy"	0.115141
"NZ First"	0.111588
Shas	0.110518
"Herri Batasuna"	0.108939
Sakigake	0.106989
Meretz	0.106435
Safina	0.101373
PASOK	0.100543
"Ulster Unionist"	0.0995055
"Freedom Union"	0.0979146
"Nepali Congress"	0.0945704
"New Zealand First"	0.0942297
"Christian Democratic Union"	0.0900345
Inkatha	0.0899689
"Janata Dal"	0.08936
NC	0.0869292
"Union of Right Forces"	0.0869094
"Freedom Party"	0.0865468
Lakas-NUCD	0.086437
"New Komeito"	0.0863256
"United Malays National Organization"	0.0862926
CPN-UML	0.0862803
"Christian Democrat"	0.0854933
ANAP	0.084683
"National Front"	0.0834823
FRELIMO	0.0818621
FUNCINPEC	0.0818064
MQM	0.0815367
RPP	0.0814804
UUP	0.0814026
Pd	0.0811132
"United Democratic Movement"	0.0806254
Fatah	0.0800216
BJP	0.0796911
SDS	0.0794861
Thirty-eight	0.079442
Jamaat-e-Islami	0.079395
"Democratic Revolution"	0.0792102
"Democrat Party"	0.0787181
CPP	0.0786419
"Shas Party"	0.0784877
"National Action"	0.07806
NP	0.0780408
"Northern League"	0.0774246
Sandinista	0.0772563
"Free Democrats"	0.0765942
"Christian Social Union"	0.0765831
SDLP	0.0763829
"Sinn Fein"	0.0762399
"Inkatha Freedom Party"	0.0757586
"National Alliance"	0.0756976
keg	0.0756101
"Islamic Movement"	0.0751168
DPP	0.074875
Soma	0.07417
meatpackers	0.0735303
Hezb-i-Islami	0.0734763
MMD	0.0732439
"Pan Africanist Congress"	0.0719629
ZANU	0.0719542
DSP	0.0719033
Likud	0.07166
UNIP	0.0702865
"National Religious Party"	0.0700451
SDP	0.0694035
DYP	0.0685403
NRP	0.06806
Vice-Foreign	0.0677791
"Black Panther"	0.0676222
"Ulster Unionist Party"	0.0670174
"Ulster Unionists"	0.0663499
ultra-Orthodox	0.0663469
"Israeli Arab"	0.0659605
NLD	0.0658666
ZCTU	0.0653561
"FAO Schwarz"	0.0649141
"Awami League"	0.0647688
LDP	0.0645016
Kanu	0.0639047
"New Frontier"	0.0634598
Zanu-pf	0.062895
RPR	0.0628069
HDZ	0.0626759
PML-N	0.0622353
Zajedno	0.0622117
howdy	0.0621089
"Russian Communist Party"	0.0610551
Histadrut	0.0605224
BNP	0.060436
Laban	0.0603399
UDF	0.059543
"Democratic Alliance"	0.0593985
"Kenya African National Union"	0.0587043
"Freedom Front"	0.0586734
EX-COMMUNISTS	0.0581627
"Cambodian People's Party"	0.0580572
"Northern Irish"	0.0577721
"Barisan Nasional"	0.057686
"Serbian Renewal Movement"	0.057481
"U.N. Security Council Resolution @@@"	0.0574488
Oktoberfest	0.0573701
"United National Independence Party"	0.0570032
"Democratic Unionist Party"	0.0567072
"National Party"	0.0562034
MDC	0.0561979
"Georgia Republican"	0.0561558
"Islamic Jihad"	0.0561454
"Democratic Action"	0.056069
PDP	0.0560585
RP	0.0558094
"Social Democratic"	0.055507
"Muslim Brotherhood"	0.0552515
"Sam Rainsy"	0.0552384
Protas	0.0551463
Tory	0.0542744
G-@@	0.0542574
UNP	0.0542074
MPLA	0.0537442
NDF	0.053656
"Patriotic Union of Kurdistan"	0.0536284
Renamo	0.053399
Gatling	0.0533969
PML	0.0532248
center-right	0.0528812
"Los Angeles City Council"	0.0528271
fatherland	0.0525043
"Bharatiya Janata Party"	0.0524531
monarchist	0.0522859
"People's Party"	0.0521615
bifida	0.0519074
FP	0.0518436
"Pakistan Muslim League"	0.0516616
UDM	0.0514574
"Democratic Revolution Party"	0.0510306
SPLA	0.0508913
"Serbian Radical Party"	0.0507641
NDA	0.0507259
pF	0.0506665
"Jatiya Party"	0.0504667
NSP	0.0504058
ex-communist	0.0503799
IAI	0.0501559
IAF	0.0499999
NDP	0.049976
FORD-Kenya	0.0499411
"U.S. Administration"	0.0498895
ultranationalist	0.0498644
UF	0.0498553
"Costume Institute"	0.0498063
FIS	0.0498024
angiogenesis	0.0496787
"Vietnamese Communist Party"	0.0495049
"Serbian Orthodox Church"	0.0494504
"Socialist Party"	0.0493941
"Sam Rainsy Party"	0.04929
"Turkish Cypriots"	0.0492857
pro-Islamic	0.0490841
"Chinese NPC"	0.0490733
"Liberal Party"	0.0486701
Eappens	0.0486158
"Gaullist Rally"	0.0486102
"Motherland Party"	0.0483748
"Turkish Cypriot"	0.0483306
Tennant	0.0482687
IFP	0.0476718
"social democracy"	0.047483
ADL	0.0473932
Strauss-Kahn	0.0473881
"other seven"	0.047388
UMNO	0.0473522
dovish	0.0471145
"Likud Party"	0.0469394
ex-combatants	0.0469335
Zairian	0.0468602
DAP	0.0466967
"Joint Commission"	0.0466123
MCA	0.0464745
NRM	0.0463659
Fifty-five	0.0461771
OPM	0.0461761
JP	0.0461131
"Social Democrat"	0.0461039
"Kurdish Workers Party"	0.0460138
"Manhattan Project"	0.0459511
Druckenmiller	0.045786
"House GOP"	0.0457802
"Green Party"	0.0452537
"Democratic Left Party"	0.0451349
Whyte	0.0449158
))
(charter (desc 44989.7) (sims
constitution	0.189266
"U.N. Charter"	0.177698
Treaty	0.1705
"United Nations Charter"	0.149413
covenant	0.144595
"U.S. Constitution"	0.135099
protocol	0.131684
guideline	0.129368
resolution	0.12789
bylaw	0.126435
accord	0.126053
"Basic Law"	0.124226
statute	0.123984
law	0.122911
Ordinance	0.121229
"international law"	0.119046
agreement	0.118344
pact	0.118199
decree	0.11812
"Geneva convention"	0.115297
legislation	0.113525
regulation	0.112261
code	0.111933
Declaration	0.111382
"criminal law"	0.111314
"UN Charter"	0.110458
amendment	0.1064
memorandum	0.105901
communique	0.104614
"Oslo Accords"	0.104488
"Universal Declaration"	0.101487
"penal code"	0.10107
rule	0.100043
directive	0.0990585
clause	0.0989022
"Sino-British Joint Declaration"	0.0986126
document	0.0970327
"trade agreement"	0.0958366
"Maastricht Treaty"	0.0953832
"Clean Air Act"	0.094461
framework	0.0936293
"Bill of Rights"	0.0932943
"Vienna Convention"	0.0920647
convention	0.0918298
provision	0.091563
policy	0.0915186
"code of conduct"	0.0914151
principle	0.0896483
"Anti-Ballistic Missile Treaty"	0.0885913
"First Amendment"	0.0867104
"Article @@"	0.0853905
plan	0.0848934
proposal	0.0837723
"Joint Declaration"	0.0834751
bill	0.0832095
contract	0.082035
norm	0.0817074
initiative	0.0813777
doctrine	0.0803772
"Resolution @@@"	0.0797116
mechanism	0.0794332
"basic principle"	0.0784459
budget	0.0784232
mandate	0.0780487
procedure	0.0769458
"Telecommunications Act"	0.0767602
"labor contract"	0.0766363
CTBT	0.0765054
"development plan"	0.0752103
"Comprehensive Test Ban Treaty"	0.0750749
"Voting Rights Act"	0.0734641
"letter of intent"	0.0732785
"Resolution @@@@"	0.0730386
reform	0.0723931
"peace treaty"	0.0723282
lease	0.0722026
"fundamental principle"	0.0718006
agenda	0.0717896
standard	0.0717846
"plan of action"	0.0716355
measure	0.0715503
recommendation	0.0709963
program	0.0708533
voucher	0.0707417
Council	0.0706149
"bankruptcy law"	0.070567
Formula	0.0697904
obligation	0.0689248
arrangement	0.0682131
"Clean Water Act"	0.0681978
cease-fire	0.0681553
"North American Free Trade Agreement"	0.0678651
criteria	0.0677028
"labor agreement"	0.067658
system	0.0673638
draft	0.0670389
package	0.0664861
manifesto	0.0662881
"master plan"	0.06618
settlement	0.0658852
timetable	0.0657016
requirement	0.0652982
blueprint	0.0651115
membership	0.0647171
ban	0.0644374
Ada	0.0643553
"Title IX"	0.0642999
decision	0.0640193
statement	0.0639898
NAFTA	0.0638275
platform	0.0634174
proclamation	0.0632788
structure	0.062909
quota	0.0622382
authorization	0.0619291
status	0.061545
objective	0.0615318
strategy	0.0615057
license	0.0615035
"START II"	0.061485
"Proposition @@@"	0.0614019
funding	0.061202
revision	0.0611453
partnership	0.061123
stipulation	0.0608803
guarantee	0.0605585
sanction	0.0604681
concept	0.0604155
curriculum	0.06034
overhaul	0.0603199
U.N.	0.0602208
bailout	0.060037
committee	0.0598789
"antitrust law"	0.059627
article	0.0593285
embargo	0.0589853
permit	0.0588952
"Article @"	0.0588444
restriction	0.0584549
"Proposition @@"	0.05794
conference	0.0578739
zoning	0.0578312
"human right"	0.0575843
"economic policy"	0.0574317
registration	0.057286
"human rights"	0.0572719
ruling	0.0572626
understanding	0.0561947
definition	0.0560965
commission	0.0560208
expansion	0.0560133
"trade bill"	0.0559081
"foreign policy"	0.0558953
institution	0.0558632
amnesty	0.0558374
wording	0.0557995
cooperation	0.0557232
"legal system"	0.0556955
Wye	0.0556162
commitment	0.055563
scheme	0.0554599
"Declaration of Independence"	0.0554325
"free trade"	0.05541
ethic	0.0553322
"gun control"	0.0548923
designation	0.0548065
legitimacy	0.054665
pledge	0.0545872
Mission	0.0545829
exemption	0.0545184
referendum	0.0544065
protection	0.0543112
airline	0.0541684
"tax system"	0.0541512
licence	0.0540184
compromise	0.0538907
ownership	0.0536422
"Security Council"	0.0536096
Secretary-General	0.0534498
action	0.053224
"trade policy"	0.0532102
ceasefire	0.0531596
manual	0.053055
"tax bill"	0.0529836
"ground rule"	0.0529017
sovereignty	0.0528141
petition	0.0527851
summit	0.0527794
autonomy	0.0526956
tax	0.0526764
"electoral system"	0.052463
financing	0.0522797
immunity	0.0522113
tariff	0.0521641
Privatization	0.0521512
adoption	0.0520969
peace	0.0520504
subsidy	0.0520381
Implementation	0.0517179
truce	0.0516251
))
("charter member" (desc 1874.42) (sims
"chairman emeritus"	0.0804432
co-president	0.07479
disarming	0.0720292
"guardian angel"	0.0681611
"good person"	0.0656256
"sitting duck"	0.06183
"second person"	0.0617399
"sounding board"	0.0608546
"black sheep"	0.0604713
accepting	0.0568409
pro-choice	0.0568139
goal-scorer	0.0567805
player-coach	0.0544705
marksman	0.0543064
punchline	0.0540176
soulmate	0.0539785
"pain in the neck"	0.0531552
chameleon	0.0528979
valedictorian	0.0525348
"black person"	0.0519111
fief	0.0506856
"Southern Baptist"	0.0501587
heretic	0.0500136
"center of attention"	0.0498338
boob	0.04967
"whipping boy"	0.0496468
pushover	0.0495993
"first pitcher"	0.0495144
"lame duck"	0.0494699
"persona non grata"	0.0488713
antsy	0.0487606
laughingstock	0.0487574
breadwinner	0.0482362
"Member States"	0.048
co-captain	0.0479546
"love child"	0.0478313
headliner	0.0471222
non-issue	0.0469812
"big leaguer"	0.0467482
epitome	0.0465169
vegan	0.0465122
"fall guy"	0.0465042
typecast	0.0463657
"legal guardian"	0.0460995
"chairman of the board"	0.046082
"hard worker"	0.0458182
"important person"	0.0456573
recluse	0.0451524
"pen pal"	0.0451111
redefinition	0.0450717
"white elephant"	0.0449456
"risk taker"	0.0449396
"trump card"	0.0446434
"New Democrat"	0.0442627
no-brainer	0.0437936
perjurer	0.0435285
"talk of the town"	0.0434471
godmother	0.0431959
personification	0.0426664
co-director	0.0426269
"Asian American"	0.0424145
"patron saint"	0.0422598
youngest	0.0421603
"numbers game"	0.0419012
"double agent"	0.0416572
trickster	0.0416398
cipher	0.0414326
scum	0.041408
nonentity	0.0413431
"Rhodes Scholar"	0.0411522
hothead	0.0411152
"basic concept"	0.0410885
has-been	0.0407377
"guiding light"	0.0402709
"visiting professor"	0.0402527
"hockey coach"	0.0401964
enabler	0.0400904
))
(chartreuse (desc 2054.46) (sims
fuchsia	0.187633
turquoise	0.186559
lavender	0.181113
lilac	0.177326
periwinkle	0.174951
purple	0.171678
crimson	0.157031
beige	0.154958
aqua	0.154949
Pink	0.146393
maroon	0.142589
mauve	0.13946
indigo	0.133307
aquamarine	0.132018
violet	0.125937
pastel	0.118003
tangerine	0.105542
lime	0.0922122
coral	0.0855487
"deep red"	0.085234
Scarlet	0.0799908
teal	0.0787745
peach	0.0781028
khaki	0.0748104
plum	0.0741897
caramel	0.0734852
garnet	0.0672677
apricot	0.0656374
Burgundy	0.0651599
raspberry	0.064744
"yellow light"	0.0641595
carnation	0.0639571
grey	0.062806
grapefruit	0.0619693
Blush	0.0618912
lemon	0.0614503
"royal blue"	0.0609075
"bell pepper"	0.0563349
canary	0.0531965
"string bean"	0.0531861
sockeye	0.0521501
"grapefruit juice"	0.0519496
feint	0.0517755
"day lily"	0.0508622
capris	0.0507795
undertone	0.0506009
Amber	0.0497588
avocado	0.0482549
mustard	0.047371
pigment	0.0471512
"food coloring"	0.0467325
papaya	0.0466349
macaw	0.0459998
Rockland	0.0456883
Play-Doh	0.0455635
lipstick	0.0448195
liqueur	0.0448012
shrubbery	0.0445024
"Tony Dungy"	0.0440476
melon	0.043865
"white flag"	0.0437287
blueberry	0.0434532
"root beer"	0.0434322
chilies	0.0432221
streamer	0.0431985
emerald	0.0431282
slime	0.0423761
rapidity	0.0423409
cayenne	0.0422196
sedum	0.0420772
"sports jacket"	0.0420567
cranberry	0.0415301
"color scheme"	0.0412488
impatiens	0.0410719
"bubble gum"	0.0410459
yolk	0.0410337
"lima bean"	0.0406744
calypso	0.0405752
"lemon peel"	0.04056
"black flag"	0.0400311
))
(chase (desc 49908.6) (sims
"Chase Manhattan"	0.0940366
hunt	0.0835559
BankBoston	0.0799575
race	0.0795005
"First Union"	0.0785415
BankAmerica	0.0780412
"Bank of America"	0.0777443
"Bankers Trust"	0.0767629
battle	0.075035
quest	0.0720553
"Deutsche Bank"	0.0709846
contention	0.0704844
Norwest	0.0700481
manhunt	0.0695001
Citigroup	0.0677661
"Wells Fargo"	0.0672987
running	0.0669225
pursuit	0.0659478
playoff	0.0654654
NationsBank	0.0653655
"J.P. Morgan"	0.0648705
sprint	0.0644822
shootout	0.0644371
Merrill	0.0644279
UBS	0.0628217
Goldman	0.0624732
melee	0.0624045
"Merrill Lynch"	0.0619004
BofA	0.0607107
WorldCom	0.0606503
Citicorp	0.0600156
duel	0.0597126
Aetna	0.0595197
Citibank	0.0594998
HSBC	0.0593629
standoff	0.0588928
scramble	0.0588744
McKesson	0.0587017
"Bell Atlantic"	0.0578155
Mattel	0.0576407
"Morgan Stanley"	0.0570136
ride	0.0556334
Sunbeam	0.054716
"Time Warner"	0.0545799
search	0.054196
scuffle	0.0536516
"MCI WorldCom"	0.0534189
gunfight	0.0533153
raid	0.0529486
Raytheon	0.05203
BellSouth	0.0517556
MindSpring	0.0516932
Racing	0.0515139
Dell	0.0514455
brawl	0.0513333
MCI	0.0512733
Healtheon	0.051221
"American Express"	0.0504228
struggle	0.0499485
shooting	0.0499283
contest	0.0497769
firefight	0.0496383
Schwab	0.0495041
Mannesmann	0.0493345
Compaq	0.0493162
Hancock	0.0492525
clash	0.0491848
"America Online"	0.0489742
rampage	0.048934
IBM	0.0487929
AOL	0.0486009
adventure	0.0485703
Cisco	0.0484238
Exxon	0.0481223
Lockheed	0.0481214
confrontation	0.0480245
Collision	0.0477653
Coca-Cola	0.0477187
Boeing	0.0476465
"World Series"	0.0475185
Pfizer	0.0475128
"BP Amoco"	0.0474273
"Credit Suisse"	0.0472022
sequence	0.0471608
accident	0.0471507
shootouts	0.0471365
Chevron	0.047085
robbery	0.0468755
Kodak	0.046768
Qwest	0.046675
Nortel	0.0466319
comeback	0.0465955
"Bank of New York"	0.0465828
"P&AMP;G"	0.046426
Monsanto	0.0462942
Halliburton	0.0462784
altercation	0.0462738
"Deutsche Telekom"	0.0460198
coke	0.0459434
spree	0.0458847
GTE	0.0458661
"Goldman Sachs"	0.0458631
Vivendi	0.0458554
competition	0.0458389
wreck	0.0457185
Seagram	0.0457082
showdown	0.0456947
Saga	0.0456771
GM	0.0456284
explosion	0.0455946
Gillette	0.0455074
DaimlerChrysler	0.0454461
stunt	0.0454424
trek	0.045385
Viacom	0.0451245
Ford	0.0445443
Genentech	0.0444402
ARCO	0.0444157
siege	0.0443349
EMC	0.0442753
incident	0.0442501
Vodafone	0.0441973
baseball	0.0441212
journey	0.0440053
Corning	0.0439608
Airtouch	0.043771
mayhem	0.0437557
REVLON	0.0436585
tournament	0.0436547
"U S West"	0.0436082
Disney	0.0435873
Intel	0.0435357
ballgame	0.0432681
riot	0.0432005
Warner-Lambert	0.0430851
Hasbro	0.0428787
scene	0.0427646
Cendant	0.0427458
"Global Crossing"	0.0427427
odyssey	0.0426088
fidelity	0.0425835
rioting	0.0424273
Mobil	0.0422277
Microsoft	0.0422011
Pepsico	0.0422002
holdup	0.0421736
Amazon	0.0420045
Yahoo	0.0418989
jaunt	0.0417629
Alcoa	0.0416444
ordeal	0.0415793
violence	0.0415664
"Super Bowl"	0.0415659
Enron	0.0415119
Dupont	0.0414691
LTCB	0.0414483
matchup	0.0414335
rivalry	0.0413334
Lycos	0.0413207
oracle	0.0413125
Motorola	0.0412963
SBC	0.041289
assault	0.0412452
"Procter &AMP; Gamble"	0.0411746
"Home Depot"	0.0411421
Ameritech	0.0410556
feud	0.0410214
Xerox	0.0409599
postseason	0.0409089
"Bear Stearns"	0.0408853
Morgan	0.0408799
McGwire	0.040871
CNET	0.040833
fighting	0.0407936
killing	0.0407642
"home run"	0.040738
Delphi	0.0407157
Derby	0.0406115
golf	0.0405734
Volvo	0.0405083
"General Electric"	0.0405059
Comcast	0.0404921
Chrysler	0.0404851
"Mark McGwire"	0.0404121
"World Cup"	0.0403633
Unilever	0.0402984
drama	0.0402861
frenzy	0.0402373
demonstration	0.0401795
"Lehman Brothers"	0.0400919
"Philip Morris"	0.0400843
))
("Chase Championships" (desc 4386.53) (sims
"Grand Slam Cup"	0.218978
"Hamlet Cup"	0.212856
"Kremlin Cup"	0.211491
"ATP Tour World Championship"	0.211179
"German Open"	0.209132
"ATP Championship"	0.188501
"Canadian Open"	0.177471
"Paris Open"	0.173249
"Stockholm Open"	0.173171
"Australian Open"	0.171666
"Italian Open"	0.164875
"Libertadores Cup"	0.159327
"Acura Classic"	0.15839
"Lipton Championships"	0.157194
"Maurier Open"	0.15515
"National Invitation Tournament"	0.151136
"Champions Cup"	0.150649
"French Open"	0.14227
"World Basketball Championship"	0.135693
"Thomas Cup"	0.133919
"U.S. Open"	0.131536
"Hong Kong Open"	0.127545
"Federation Cup"	0.127509
"European Championships"	0.124836
"European Champions Cup"	0.124308
"World Table Tennis Championships"	0.123712
"Louis Vuitton Cup"	0.121514
"Midwest Regional"	0.118848
"US Open"	0.117316
"European Championship"	0.116745
"Tour Championship"	0.112972
"F.A Cup"	0.111135
"Swiss Open"	0.109375
"Basketball Championship"	0.107649
"Nissan Open"	0.10762
"Japan Open"	0.107562
"Asian Cup"	0.104945
Wimbledon	0.104195
tourney	0.103666
"Confederations Cup"	0.102072
"League Cup"	0.0993051
"Uber Cup"	0.0967703
"Champions League"	0.0961582
"Roland Garros"	0.0954467
"Western Open"	0.0948811
"Davis Cup World Group"	0.093654
"Gold Cup"	0.093445
"Buick Classic"	0.0913215
"World Team Cup"	0.0888521
"European Cup"	0.0874642
"Italian Cup"	0.0866996
"U.S. Senior Open"	0.0852414
"U.S. Amateur"	0.0851874
"UEFA Cup"	0.0838935
"ATP Tour"	0.0836719
"Buick Invitational"	0.0830857
"NAPA @@@"	0.0830159
"Copa America"	0.0828809
"World Group"	0.0825413
"West Regional"	0.082229
Maurier	0.0817985
"Wimbledon Tennis Championships"	0.0815867
"Memorial Tournament"	0.0814126
"Japanese Grand Prix"	0.0803056
"Melbourne Park"	0.0791386
regionals	0.0789404
"Flushing Meadows"	0.0787838
"Little League World Series"	0.0787724
"African Nations Cup"	0.0785775
"Davis Cup"	0.0785253
Eastbourne	0.0782167
"Fed Cup"	0.0776383
"PGA Championship"	0.0767471
ATP	0.0761804
"European Champions League"	0.0760446
"FA Cup"	0.0753556
"BellSouth Classic"	0.0748982
"Longwood Cricket Club"	0.0745152
"Stade Velodrome"	0.0743633
"Mastercard Colonial"	0.0738466
"East Regional"	0.073643
"Euro @@@@"	0.0729716
"African Cup"	0.0726106
nit	0.0717579
"Commonwealth Games"	0.0704889
"Solheim Cup"	0.0703436
"Goodwill Games"	0.0701866
"World Athletics Championships"	0.0686919
"South Regional"	0.0678552
"cup final"	0.0655821
"Grand Prix"	0.0652518
"Dubai World Cup"	0.0651305
scull	0.0651203
"Sudirman Cup"	0.0650973
"NEC Invitational"	0.063823
"National Tennis Center"	0.0629953
"Sydney Olympics"	0.0624788
"NCAA Tournament"	0.0622154
"Asian Games"	0.0612194
"Arthur Ashe Stadium"	0.0610998
"British Open"	0.0608113
inaugural	0.0605682
"grand slam"	0.0604219
"Preakness Stakes"	0.0599068
"Sydney Olympic Games"	0.0597297
"Chinese Basketball League"	0.0595949
"World Championships"	0.0594542
"Millrose Games"	0.0593897
jackpot	0.0586103
backstroke	0.0585081
"Millennium Summit"	0.0583132
"Brickyard @@@"	0.058286
"Hopman Cup"	0.0582314
"World Figure Skating Championships"	0.0576185
"Maurier Classic"	0.0575327
"Nations Cup"	0.0572723
"Dunhill Cup"	0.0555295
"Atlanta Olympic Games"	0.0554311
"Pacific Classic"	0.0551886
"Summer Olympics"	0.055172
"basketball league"	0.0546122
distaff	0.0545859
"Cup Winners Cup"	0.0542753
hardcourt	0.0541247
"Belmont Stakes"	0.0539292
"London Marathon"	0.0538472
"Volleyball Championship"	0.0535862
"Olympic Games"	0.0532596
"New York City Marathon"	0.053114
"Cup Juvenile"	0.0529158
"Solomon R. Guggenheim Museum"	0.0521881
"Indian Wells"	0.0514725
freestyle	0.0510792
Masters	0.0507934
"English Football Association"	0.0498836
"NBA Finals"	0.049874
"Wood Memorial"	0.0496976
"British Grand Prix"	0.0491742
"field hockey"	0.0491536
"World University Games"	0.0490774
Asiad	0.0490759
"Anne-Gaelle Sidot"	0.0489668
Eurobond	0.0489154
"Pacific Bell Park"	0.0487516
"World Swimming Championships"	0.0483679
physicals	0.0483545
"track meet"	0.0478582
"Daytona @@@"	0.0475704
"U.N. Millennium Summit"	0.0475188
"boxing ring"	0.0474141
"Stade de France"	0.0470284
Filderstadt	0.0469912
breaststroke	0.0469782
"Hollywood Gold Cup"	0.0468836
"long jump"	0.0466891
"Indy @@@"	0.0464611
Travers	0.0463881
"U.S. Women"	0.0463318
CONCACAF	0.0460577
"LPGA Championship"	0.0459432
doubles	0.0458461
"WTA Tour"	0.0457325
"Fashion Week"	0.0455784
"Santa Anita Derby"	0.0454301
Lipton	0.0446488
"College World Series"	0.0445345
"Foxboro Stadium"	0.0444031
epee	0.0443756
"Boston Marathon"	0.0436771
"Players Championship"	0.0435588
"Joyce Theater"	0.0435113
decathlon	0.0433413
"United States Open"	0.0432912
"International Rescue Committee"	0.0431349
"Great Western Forum"	0.0430849
"Division @"	0.0426895
"Kentucky Derby"	0.0426064
"Atlanta Olympics"	0.0423855
"Consumer Electronics Show"	0.0423011
"World Weightlifting Championships"	0.0422567
"MLS Cup"	0.0421333
"European Jews"	0.041964
"Metropolitan Opera"	0.0419023
"Lincoln Center Festival"	0.0413901
"Cy Young Award"	0.0410819
badminton	0.0407577
"Tour de France"	0.0406654
PGA	0.0405796
"Jockey Club Gold Cup"	0.0403959
medley	0.0401714
"Santa Anita Handicap"	0.0401383
"triple crown"	0.0400006
))
("Chase Manhattan" (desc 7008.12) (sims
"Chase Manhattan Bank"	0.260234
"J.P. Morgan"	0.238491
BankAmerica	0.227457
"Chase Manhattan Corp."	0.210967
NationsBank	0.208721
"Bank of America"	0.205368
"Travelers Group"	0.205251
"Deutsche Bank"	0.195532
"First Union"	0.195331
"Wells Fargo"	0.19512
"Morgan Stanley Dean Witter"	0.192924
"Lehman Brothers"	0.187652
"Bankers Trust"	0.184148
Citigroup	0.183056
"Merrill Lynch"	0.182875
"JP Morgan"	0.18066
Citicorp	0.177186
"Deutsche Bank AG"	0.172781
"Dresdner Bank"	0.169395
"Goldman Sachs"	0.168034
BankBoston	0.167989
"ABN AMRO"	0.166562
"American Express"	0.16623
"Credit Suisse First Boston"	0.165097
HSBC	0.162055
"Credit Suisse"	0.155282
Norwest	0.155202
"Goldman Sachs Group"	0.151153
Dresdner	0.14538
"Salomon Smith Barney"	0.144284
"Paine Webber"	0.144279
UBS	0.143461
"BankAmerica Corp."	0.142228
"First Union Corp."	0.139108
Citibank	0.135476
PaineWebber	0.135123
"Morgan Stanley"	0.129713
Barclays	0.129382
"Robertson Stephens"	0.125554
"UBS AG"	0.124483
Paribas	0.123622
"Fleet Financial Group"	0.123118
"General Electric"	0.122148
Pfizer	0.120862
UAL	0.11969
"J.P. Morgan &AMP; Co."	0.119392
"Morgan Stanley Dean Witter &AMP; Co."	0.119224
SunTrust	0.118444
"UAL Corp."	0.117566
"Merrill Lynch &AMP; Co."	0.117514
"Bear Stearns"	0.117172
"HSBC Holdings"	0.115239
"United Technologies"	0.112434
Travelers	0.112078
WorldCom	0.11057
Alcoa	0.110269
AIG	0.109745
McKesson	0.108968
BofA	0.10873
"Ford Motor"	0.10678
Chevron	0.106278
"Texas Instruments"	0.105842
TELLABS	0.105479
"Donaldson, Lufkin &AMP; Jenrette"	0.105138
"GE Capital"	0.104759
"Exxon Mobil"	0.104733
"Charles Schwab"	0.103618
"Gap Inc."	0.103611
"Eastman Kodak"	0.102149
"Procter &AMP; Gamble"	0.101945
"International Paper"	0.101759
Pepsico	0.101696
Medtronic	0.101342
"JDS Uniphase"	0.101312
Publicis	0.101229
Goldman	0.1008
Merrill	0.100123
"Aetna Inc."	0.099815
"Berkshire Hathaway"	0.0994187
"American International Group"	0.0992771
Wachovia	0.0988121
Commerzbank	0.0981024
Dupont	0.0971948
"Bell Atlantic"	0.0971276
"Bank of New York"	0.0966539
"Johnson &AMP; Johnson"	0.0964968
"Goldman, Sachs &AMP; Co."	0.0959085
"Micron Technology"	0.0957539
"Lucent Technologies"	0.0956981
"Computer Associates"	0.0954703
Instinet	0.0952969
Biogen	0.0951694
Unilever	0.0947166
"Walt Disney Co."	0.0942341
"Cisco Systems"	0.0940785
Aetna	0.0939035
"Eli Lilly"	0.0938824
"Credit Lyonnais"	0.0935567
"Societe Generale"	0.0933271
"Warburg Dillon Read"	0.0926751
Viacom	0.0925014
"Salomon Brothers"	0.0918918
"News Corp."	0.0918684
"Federated Department Stores"	0.0918615
"General Electric Co."	0.0913308
"Hang Seng Bank"	0.0906808
"Bell Atlantic Corp."	0.0906066
Ameritech	0.090176
Daimler-Benz	0.0899137
"Hambrecht &AMP; Quist"	0.0897976
"American Home Products"	0.0897466
Unisys	0.0897126
Vivendi	0.0896809
"Standard Chartered"	0.0896315
Telefonica	0.0889811
Colgate-Palmolive	0.0887377
"Hughes Electronics Corp."	0.0885642
Starwood	0.0884089
"Adobe Systems"	0.0882229
"Tribune Co."	0.0881671
Bestfoods	0.0879997
AMR	0.0879851
"Washington Mutual"	0.0874338
Honeywell	0.0873712
"Dell Computer"	0.0873608
"First USA"	0.0869454
"BP Amoco"	0.086443
"Y&AMP;R"	0.086369
Sachs	0.0862541
GANNETT	0.0862275
ETrade	0.086189
"Standard Chartered Bank"	0.0861644
"MCI WorldCom"	0.0859814
DaimlerChrysler	0.0859195
"Time Warner"	0.0858432
Immunex	0.0856828
Monsanto	0.0856038
"Royal Dutch/Shell"	0.0854642
"Sumitomo Bank"	0.0853043
Bristol-Myers	0.0852866
"Wal-Mart Stores"	0.0852355
Aegon	0.0852128
"Coca-Cola Co."	0.0851531
Warner-Lambert	0.0851239
"Sun Microsystems"	0.0850611
NatWest	0.0846818
Merck	0.0843341
SmithKline	0.0842742
Interpublic	0.0834312
Exxon	0.08331
"SmithKline Beecham"	0.0830324
"EMC Corp."	0.0830302
MCI	0.0826933
Qualcomm	0.0825264
Ciena	0.0824816
"True North"	0.0823222
Xerox	0.0820391
Qwest	0.0815419
ENTREMED	0.081232
"Motorola Inc."	0.080906
Novell	0.0808903
IBM	0.08073
"CBS Corp."	0.080493
EMC	0.0803961
"Global Crossing"	0.080235
Motorola	0.0801537
TYCO	0.0800434
Corning	0.0800073
"BellSouth Corp."	0.0799181
Daimler-Chrysler	0.0796087
Litton	0.0794574
Corp.	0.0794349
Alcan	0.0793334
Halliburton	0.078908
"Deutsche Telekom"	0.0787795
"Bangkok Bank"	0.0783886
Georgia-Pacific	0.0783117
"General Motors"	0.0779389
WPP	0.0778181
BellSouth	0.0777286
"Allied Signal"	0.0775754
"Bank of Tokyo-Mitsubishi"	0.0772683
"America Online"	0.0772528
"HBO &AMP; Co."	0.077243
"Pacific Century"	0.0771279
"National Australia Bank"	0.0771249
Mannesmann	0.0771172
GTE	0.0769708
"Fannie Mae"	0.0769138
Intel	0.0767912
"Fidelity Investments"	0.0761903
"U S West"	0.0760717
GEC	0.076028
"Hearst Corp."	0.0759661
"Seagram Co."	0.0759511
SBC	0.0759348
Renault	0.0757711
"Daimlerchrysler AG"	0.0757144
"Times Co."	0.0754856
"Learning Co."	0.0753954
))
("Chase Manhattan Bank" (desc 3774.02) (sims
"Chase Manhattan"	0.260234
"Bank of America"	0.181009
BankAmerica	0.177311
"Standard Chartered Bank"	0.170359
"Lehman Brothers"	0.16856
"Warburg Dillon Read"	0.165203
"Chase Manhattan Corp."	0.163628
"Morgan Stanley Dean Witter"	0.16113
"Salomon Smith Barney"	0.159508
"J.P. Morgan"	0.158915
"Goldman Sachs"	0.157908
"Wells Fargo"	0.155729
"Credit Suisse First Boston"	0.154948
"Deutsche Bank"	0.150232
"Morgan Stanley Dean Witter &AMP; Co."	0.150193
PaineWebber	0.149192
"Donaldson, Lufkin &AMP; Jenrette"	0.147211
"Goldman, Sachs &AMP; Co."	0.145532
"Merrill Lynch &AMP; Co."	0.143332
"Dresdner Bank"	0.142352
"First Union Corp."	0.142077
"First Union"	0.140859
"Bear Stearns"	0.140279
"Gap Inc."	0.134598
"Merrill Lynch"	0.134383
"Fleet Financial Group"	0.1321
"Bankers Trust"	0.130892
"NationsBanc Montgomery Securities"	0.130314
"American International Group"	0.129563
"ABN AMRO"	0.124565
"J.P. Morgan &AMP; Co."	0.121429
"Bank of New York"	0.12082
"American Express"	0.119641
"Nomura Securities"	0.118871
Citibank	0.117194
Paribas	0.115664
"Bank of Japan Ltd."	0.113767
"ING Barings"	0.113135
"Travelers Group"	0.112749
"Fidelity Investments"	0.110889
"Morgan Stanley"	0.109449
"Prudential Securities"	0.107761
"Standard Chartered"	0.105669
BankBoston	0.105312
Citicorp	0.104487
"Paine Webber"	0.102013
HSBC	0.0990726
Commerzbank	0.0989201
Citigroup	0.0980456
"UBS AG"	0.0967544
"Putnam Investments"	0.0961501
NationsBank	0.0960619
Corp.	0.0948152
"Salomon Brothers"	0.0938794
"Federated Department Stores"	0.0924183
"Bankers Trust Corp."	0.0911742
Donaldson	0.0910614
"U.S. Chamber of Commerce"	0.0908681
"Credit Suisse"	0.0897802
"Chevron Corp."	0.0896595
Pepsico	0.0894625
"Sumitomo Bank"	0.0891678
"Hearst Corporation"	0.0880694
"CBS Corp."	0.0876237
"Citigroup Inc."	0.0873991
"brokerage house"	0.0870331
"Investors Service"	0.0859362
"Federal Reserve Bank"	0.0858833
"BankAmerica Corp."	0.0852732
"Exxon Corp."	0.0852491
"Royal Bank of Scotland"	0.0846625
"Hughes Electronics Corp."	0.0831418
"Saatchi &AMP; Saatchi"	0.0828166
Goldman	0.0827136
"Texas Instruments"	0.0826532
"Charles Schwab"	0.082593
"Rockefeller University"	0.082572
"Freedom Forum"	0.0824185
"Omnicom Group"	0.0819303
BofA	0.0818176
"United Technologies"	0.0817838
"General Electric"	0.0815117
"Goldman Sachs Group"	0.0814285
"Bank of Tokyo-Mitsubishi"	0.0806259
"Procter &AMP; Gamble"	0.0803821
"Eastman Kodak"	0.0802994
"BellSouth Corp."	0.080283
"Levi Strauss &AMP; Co."	0.0796695
"Monsanto Co."	0.0792646
"Times Mirror Co."	0.0789749
ETrade	0.0784804
"Lucent Technologies"	0.0777671
McCann-Erickson	0.0773474
"Hambrecht &AMP; Quist"	0.0767743
"Whitney Museum of American Art"	0.0755823
"Charles Schwab Corp."	0.0753876
"Waldorf-Astoria Hotel"	0.0753788
"Robertson Stephens"	0.0752838
"National Abortion and Reproductive Rights Action League"	0.0750562
"Audubon Society"	0.0746526
"Delta Air Lines"	0.074433
Wachovia	0.073942
"American Home Products Corp."	0.0739157
"International Business Machines Corp."	0.0738347
"Credit Lyonnais"	0.0737252
"BancBoston Robertson Stephens"	0.0736786
"Dai-Ichi Kangyo Bank"	0.0731921
"Goldman Sachs &AMP; Co."	0.0726854
"GE Capital"	0.0726357
"Daimlerchrysler AG"	0.072432
"Philip Morris"	0.0723907
"Aetna Inc."	0.0720384
Hasbro	0.0719736
"Visa International"	0.0719248
SunTrust	0.0719004
"Fannie Mae"	0.0718914
"John Hancock"	0.0718747
"JP Morgan"	0.0715689
"Hearst Corp."	0.071489
Enron	0.0714882
"New York Times Co."	0.0713581
"Smith Barney"	0.071304
"BankBoston Corp."	0.071223
UBS	0.0709253
Publicis	0.0706415
"Industrial Bank of Japan"	0.0702736
"Turner Broadcasting"	0.0701764
"Siemens AG"	0.0700072
"Rod Thorn"	0.0698162
"Vanguard Group"	0.0693477
"Mount Sinai Medical Center"	0.0692385
"General Electric Co."	0.0690611
"Memorial Sloan-Kettering Cancer Center"	0.0690459
Barclays	0.0684589
"Kraft Foods"	0.068108
"brokerage firm"	0.0678438
"Cendant Corp."	0.067756
REVLON	0.0675817
Interpublic	0.0675354
"Viacom Inc."	0.0673696
"Volkswagen AG"	0.0671768
"GTE Corp."	0.0670343
Dupont	0.0669619
"Exxon Mobil"	0.0668181
"Time Warner"	0.0666512
"Federal Reserve Bank of New York"	0.0665775
brokerage	0.0664212
"Bausch &AMP; Lomb"	0.0663289
Norwest	0.0661886
"World Bank Group"	0.0657293
"American Enterprise Institute"	0.0656879
"Better Business Bureau"	0.0655656
"Ford Motor Company"	0.0652819
"Mount Sinai Hospital"	0.0650859
"Charles Schwab &AMP; Co."	0.0650635
"American Home Products"	0.0648368
"Seagram Co."	0.0647175
"National Association of Manufacturers"	0.06469
Motorola	0.0645178
"Mather Worldwide"	0.0642371
"HSBC Holdings"	0.0638061
"Solomon R. Guggenheim Museum"	0.0637568
"Service Employees International Union"	0.0636789
"National Association of Securities Dealers"	0.0634923
"Times Mirror"	0.0634542
"Johnson &AMP; Johnson"	0.0631352
"Micron Technology"	0.0631133
"Bell Atlantic"	0.0630836
"Times Co."	0.0628478
"RAND Corp."	0.0625616
"First USA"	0.0622872
"Industrial and Commercial Bank of China"	0.0621929
"Royal Dutch/Shell"	0.0620683
Genzyme	0.0620362
prudential	0.0620119
NASD	0.0619771
YankeeNets	0.0618938
Instinet	0.0618023
"RJR Nabisco"	0.0616683
Omnicom	0.0616519
"Warner-Lambert Co."	0.061642
CompUSA	0.0614638
"Mattel Inc."	0.0613793
"Reed Elsevier"	0.0613514
"Volvo AB"	0.0612473
"Sony Corp."	0.0611457
"Treasury Department"	0.0610401
"General Motors"	0.0605479
Sachs	0.0604331
"MCI WorldCom"	0.0602688
"International Management Group"	0.0602506
"Hyundai Group"	0.0602478
Hewlett-Packard	0.0601949
"Planet Hollywood"	0.0601567
Sibneft	0.0601274
Chevron	0.0601207
Merck	0.0600869
"Allied Signal"	0.060041
"Network Associates"	0.0600378
"Compaq Computer"	0.0596979
))
("Chase Manhattan Corp." (desc 1965.62) (sims
"Citigroup Inc."	0.301558
"First Union Corp."	0.257698
"UBS AG"	0.219907
"Deutsche Bank AG"	0.218573
"Chase Manhattan"	0.210967
"BankAmerica Corp."	0.18421
"First Union"	0.177338
"Morgan Stanley Dean Witter &AMP; Co."	0.172402
"Credit Suisse"	0.169039
"Merrill Lynch &AMP; Co."	0.167241
"Chase Manhattan Bank"	0.163628
"J.P. Morgan &AMP; Co."	0.163292
"Goldman Sachs Group"	0.161822
"NationsBank Corp."	0.150677
"Hearst Corporation"	0.149016
"American International Group"	0.142975
"Travelers Group"	0.141138
"New York Times Co."	0.140131
"Federated Department Stores"	0.139227
"Seagram Co."	0.135785
"Wells Fargo"	0.134816
"Dow Jones &AMP; Co."	0.134021
"Aetna Inc."	0.13373
"UAL Corp."	0.131571
"Eastman Kodak Co."	0.130717
"Viacom Inc."	0.129643
"True North"	0.129159
"First USA"	0.128795
"Cendant Corp."	0.128312
"Exxon Corp."	0.12721
"Bank of America"	0.124308
"CMGI Inc."	0.123563
"J.P. Morgan"	0.122771
"Morgan Stanley Dean Witter"	0.122557
"International Business Machines Corp."	0.122004
"General Electric Co."	0.120276
"Omnicom Group"	0.120027
"Chevron Corp."	0.118465
"ABN AMRO"	0.118294
BankAmerica	0.118032
"Goldman, Sachs &AMP; Co."	0.117723
"GE Capital"	0.117579
"Walt Disney Co."	0.116916
"CBS Corp."	0.116202
"Time Warner Inc."	0.114296
NationsBank	0.113101
Citicorp	0.112776
"BellSouth Corp."	0.11126
HSBC	0.109447
"Bankers Trust"	0.109292
Citigroup	0.108289
"Bankers Trust Corp."	0.108181
"Credit Suisse First Boston"	0.107903
"AMR Corp."	0.106372
"Ford Motor Company"	0.105636
"Lucent Technologies"	0.10474
"Enron Corp."	0.103947
"Volkswagen AG"	0.103541
"Computer Associates"	0.103318
"Times Co."	0.102957
"Merrill Lynch"	0.102864
"Hughes Electronics Corp."	0.10256
"Deutsche Bank"	0.102433
Federated	0.102015
"SBC Communications Inc."	0.101962
"HSBC Holdings"	0.100861
"Fleet Financial Group"	0.100504
"Bertelsmann AG"	0.0998197
UBS	0.0992892
"Pepsico Inc."	0.0991198
YankeeNets	0.0984253
"Philip Morris Cos."	0.097131
WPP	0.0970672
"Merck &AMP; Co."	0.0970182
"Halliburton Co."	0.0969165
"Motorola Inc."	0.0967679
"Sony Corp."	0.0965726
Publicis	0.0953992
"General Electric"	0.0945411
"Ford Motor"	0.0941245
"Prudential Insurance Co."	0.0932558
"National Abortion and Reproductive Rights Action League"	0.0930928
Menatep	0.0929764
"Abbott Laboratories"	0.0922845
AMR	0.0920117
UAL	0.0916441
"MindSpring Enterprises"	0.0915477
"Charles Schwab Corp."	0.0915285
"Salomon Smith Barney"	0.0901678
Corp.	0.0899539
"Wal-Mart Stores Inc."	0.0898136
GEC	0.0890185
"Investors Service"	0.0887768
"Johnson &AMP; Johnson"	0.0882385
"Columbia Pictures"	0.0881956
Interpublic	0.0876059
"Cisco Systems Inc."	0.0870027
"Berkshire Hathaway"	0.0869543
"Bangkok Bank"	0.0868819
Unisys	0.0862008
"U.S. Soccer Federation"	0.0859544
"Daimlerchrysler AG"	0.0854748
"Hyundai Group"	0.0853278
"News Corp."	0.085201
"National Association of Securities Dealers"	0.0851928
"Northeast Utilities"	0.0848487
"Northern Telecom"	0.0847914
"Royal Dutch/Shell"	0.0840696
"Better Business Bureau"	0.083858
"American Family Publishers"	0.083706
"Hearst Corp."	0.0836688
"Mattel Inc."	0.0836397
"Bank of Montreal"	0.0835891
"Symantec Corp."	0.0833917
Pepsico	0.0832808
"Fidelity Investments"	0.0832118
"Wal-Mart Stores"	0.0829326
Omnicom	0.0822686
"American Home Products Corp."	0.0820112
"Koch Industries"	0.0817565
"Nomura Securities"	0.0817088
"Knight Ridder"	0.0816653
"Bank Negara"	0.0813937
Alcatel	0.0813652
"General Motors Corp."	0.081015
"China National Petroleum Corporation"	0.0807183
"Gap Inc."	0.0805442
"Coca-Cola Co."	0.0804839
"Allied Signal"	0.0803956
"Industrial and Commercial Bank of China"	0.0802503
"Goldman Sachs"	0.0800759
Aegon	0.0798715
"Washington Mutual"	0.0798252
Instinet	0.0796075
"Ford Motor Co."	0.0790638
"Dell Computer Corp."	0.0789205
"Oracle Corp."	0.0788859
"Thai Farmers Bank"	0.0788132
"Universal Music Group"	0.0783824
Colgate-Palmolive	0.0783397
Sumitomo	0.0780855
"Bell Atlantic Corp."	0.0780459
"Boston Scientific"	0.0779895
"Hewlett-Packard Co."	0.077827
"NEC Corp."	0.077735
"T Corp."	0.0775724
"Toyota Motor Corp."	0.077388
Nortel	0.0773035
"MCI WorldCom"	0.0772114
"American Home Products"	0.0769243
"SBC Communications"	0.076788
"JDS Uniphase"	0.0766489
"Lucent Technologies Inc."	0.0765151
"National Grid"	0.0763209
"Bank of Japan Ltd."	0.0763128
Telefonica	0.0763116
"Monsanto Co."	0.076253
"Hughes Electronics"	0.0761252
Hasbro	0.0759949
Novartis	0.0759696
"Hang Seng Bank"	0.0755398
"Housing Authority"	0.0755364
"Daewoo Group"	0.0754413
"Long-Term Credit Bank"	0.075311
"World Bank Group"	0.0751814
"National Semiconductor"	0.0750285
"Service Employees International Union"	0.0749061
SunTrust	0.0748612
Ribbeck	0.0748313
"American Express"	0.0746172
"Lockheed Martin Corp."	0.0745664
"Time Inc."	0.0745438
Genzyme	0.0743579
Westinghouse	0.0742331
Yukos	0.0741902
"Donaldson, Lufkin &AMP; Jenrette"	0.0739071
"Silicon Graphics"	0.073907
"Tele-Communications Inc."	0.0738909
Corning	0.0735779
"Sydney Organizing Committee"	0.0735543
"Cadbury Schweppes"	0.073322
"Raytheon Co."	0.0731786
"Charles Schwab"	0.0729889
EMC	0.0727027
"Air Line Pilots Association"	0.072376
GANNETT	0.0723385
Bertelsmann	0.0721429
Comcast	0.072059
Daimler-Benz	0.0719894
"Liberty Media"	0.0719826
"Ask Jeeves"	0.0719609
Cablevision	0.0719609
"Ameritech Corp."	0.0716399
"Credit Lyonnais"	0.0711722
"Pfizer Inc."	0.0711401
Checkfree	0.0706974
"Legend Group"	0.0706031
WorldCom	0.0705749
"PC Data"	0.0704001
Equifax	0.0702641
))
(chased (desc 9292.59) (sims
pursued	0.0617296
"eight miles"	0.0544757
double-teamed	0.0480696
W	0.0473118
"four kilometers"	0.0464679
gunpoint	0.0434166
"about six miles"	0.0425047
bastard	0.0420718
"running away"	0.0417177
"about @ miles"	0.0408497
))
(chaser (desc 3393.67) (sims
"welfare worker"	0.057953
"big leaguer"	0.0571436
idiot	0.0561243
curveballs	0.0557991
balloonist	0.0546867
sleuth	0.0530514
doer	0.0515839
snob	0.0506325
pushover	0.0499803
"Bayi Rockets"	0.0496386
Scrooge	0.0495928
Hick	0.0495756
distributorship	0.0495466
"traffic cop"	0.0494838
tracker	0.0492095
buff	0.0491711
"supply ship"	0.0477443
voyeur	0.047605
"guardian angel"	0.0472029
heretic	0.0469487
egghead	0.0468904
rube	0.0465847
"risk taker"	0.0458382
watcher	0.0452511
bastard	0.0452338
"black sheep"	0.0450198
absolutes	0.0448789
matchmaker	0.044723
pursuer	0.0445278
bullfighter	0.044428
deflector	0.0443089
"guessing game"	0.0441184
birder	0.0440021
cinch	0.043921
Grinch	0.0436605
"social scientist"	0.0435804
cakewalk	0.0433824
"Final Fours"	0.0433328
battler	0.0432127
magician	0.043145
spotter	0.0429382
distiller	0.0429378
bruiser	0.042829
quasar	0.0426794
distillery	0.0425495
colorist	0.0424927
"white knight"	0.0423828
savior	0.0423013
castaway	0.0421876
optimist	0.0421806
dilettante	0.0421147
"leading lady"	0.0419626
washout	0.0419298
"professional golfer"	0.0418709
conservationist	0.0417547
"good person"	0.0416673
grown-up	0.0415651
peacemaker	0.0414498
racehorse	0.0414216
"good guy"	0.0413314
lumberjack	0.0410108
upfield	0.0409272
"good Samaritan"	0.0407447
"Doug Pederson"	0.0407091
"bad guy"	0.0406662
Superman	0.0405117
"Liaoning Hunters"	0.0404578
"ball club"	0.0403287
handicapper	0.0402036
aficionados	0.0401312
"throwing away"	0.040024
))
(chasm (desc 9587.69) (sims
divide	0.180617
disparity	0.152504
gap	0.125511
Gulf	0.120576
schism	0.117684
"Great Divide"	0.115145
rift	0.115128
fissure	0.10986
inequality	0.10848
divergence	0.104235
inequity	0.102878
crevasse	0.0980152
difference	0.0954993
"fault line"	0.0910804
dichotomy	0.0885841
discrepancy	0.085001
abyss	0.0840209
ravine	0.0775869
correlation	0.0742753
sinkhole	0.0730787
void	0.0721786
imbalance	0.0706963
distinction	0.0635132
"difference of opinion"	0.0629033
"Demilitarized Zone"	0.0622753
polarization	0.0620497
animosity	0.0611413
"dividing line"	0.0608297
similarity	0.0602005
continuum	0.0595723
undercurrent	0.0591698
Rubicon	0.0587364
acrimony	0.0577113
"demarcation line"	0.0572419
morass	0.0566405
"bad blood"	0.0558299
contradiction	0.0556824
"hole in the ground"	0.0556685
dilemma	0.0554456
boundary	0.0540946
"blind spot"	0.0538308
cleavage	0.0533894
groundswell	0.0530715
Differential	0.0523696
quandary	0.052169
ferment	0.05198
distrust	0.051504
antagonism	0.0514204
crater	0.0511774
nexus	0.0511471
expanse	0.0510727
maw	0.0507732
malaise	0.0505059
cataclysm	0.0504487
"Green Line"	0.0503041
discord	0.0502354
squabble	0.0497674
"battle line"	0.04976
gully	0.049601
"identity crisis"	0.0494807
tightrope	0.0493407
dropoff	0.0492972
friction	0.0491416
paradox	0.0491136
cavern	0.0489594
spectrum	0.0488146
conundrum	0.0482017
thaw	0.0481452
shortfall	0.047987
"trade deficit"	0.0479617
precipice	0.0477687
fragmentation	0.0477645
estrangement	0.0475828
breadth	0.0472611
gorge	0.0468609
pothole	0.0464211
diversity	0.046381
misunderstanding	0.0453305
"inferiority complex"	0.0452494
canyon	0.0448684
maelstrom	0.0446791
wedge	0.0441868
confusion	0.0439914
fragility	0.0439462
"double standard"	0.0436853
disconnection	0.0435439
"sleight of hand"	0.0434829
synergy	0.0433862
cohesion	0.0433788
ambivalence	0.0432467
plurality	0.0431899
militancy	0.0430825
hang-up	0.0430635
pitfall	0.0429811
interdependence	0.042793
complexity	0.0426188
linkage	0.0425847
unease	0.0425845
unpopularity	0.0425652
dispersion	0.0425463
potentiality	0.0423013
Seine	0.0422912
prejudice	0.0419077
dynamic	0.041765
drop-off	0.0416916
dissension	0.0416906
quagmire	0.0414713
cross-pollination	0.0414394
rupture	0.0413254
ridge	0.0411117
mismatch	0.0410682
closeness	0.0410496
ramification	0.0410107
duplicity	0.0407952
symmetry	0.0407303
mistrust	0.0407253
rivalry	0.0407161
slugfest	0.0406986
inconsistency	0.0406542
sophistication	0.040641
arc	0.0406217
vacuum	0.0406169
epoch	0.0405881
ambiguity	0.0403154
))
(chassis (desc 11248.4) (sims
tire	0.103914
axle	0.0987863
engine	0.0970685
gearbox	0.0958024
"diesel engine"	0.0950731
grille	0.0860192
brake	0.085142
wheelbase	0.0820725
motor	0.0791361
fender	0.0771136
"passenger car"	0.0766061
"front end"	0.0755965
wheel	0.0744363
"aircraft engine"	0.0726693
tractor	0.0723298
bumper	0.0719135
"landing gear"	0.0716179
"electronic equipment"	0.070753
frame	0.0702177
undercarriage	0.070148
"sheet metal"	0.0693665
avionics	0.0683621
Motorcycle	0.0683282
dashboard	0.0679334
"spare part"	0.06781
V-@	0.0669597
Tyre	0.0664966
"automatic transmission"	0.065961
"air bag"	0.0655439
Sedan	0.065522
headlight	0.0653482
four-cylinder	0.0652011
forklift	0.0651384
"pickup truck"	0.0647875
hardware	0.0640639
turbine	0.0640451
windscreen	0.0639252
"suspension system"	0.0637045
automobile	0.0631654
transmission	0.0620276
motherboard	0.0616437
fuselage	0.0615905
"instrument panel"	0.0606214
"license plate"	0.0601226
"assembly line"	0.0593304
appliance	0.059117
"seat belt"	0.0590242
"jet engine"	0.0580622
auto	0.0577768
"catalytic converter"	0.0576443
Buicks	0.0572121
"shock absorber"	0.0570002
V@	0.0569233
"brake system"	0.0568655
aerodynamics	0.0568012
"gas tank"	0.0566861
"home appliance"	0.0565986
cab	0.0565267
conditioner	0.0561908
propeller	0.056149
"electric motor"	0.0560341
Silverado	0.0558692
pickup	0.0557277
generator	0.0555815
"memory chip"	0.0555358
exterior	0.055163
locomotive	0.0550281
horsepower	0.0549494
"station wagon"	0.0546712
"gas turbine"	0.0545977
steering	0.0544793
airplane	0.054391
pipe	0.0542924
tank	0.0542385
setup	0.0542232
"weapons system"	0.0540865
valve	0.0537922
minivans	0.0536911
compressor	0.0533879
bicycle	0.0532914
Hood	0.0532464
bike	0.0531374
"line of products"	0.0529501
electronics	0.0528618
sensor	0.0528166
transformer	0.0525672
compartment	0.0521444
"motor vehicle"	0.0520988
motorbike	0.0518203
"sports car"	0.0518059
"race car"	0.0517482
"steering wheel"	0.051368
Coupe	0.0512589
"production line"	0.0510067
"household appliance"	0.0509587
workstation	0.0506707
SUV	0.0506574
hydraulics	0.0506188
trailer	0.0504038
air-conditioner	0.0501425
accessory	0.0500638
upholstery	0.0499302
machinery	0.0499143
"aircraft part"	0.0497949
windshield	0.049723
assembler	0.0494112
"machine tool"	0.0493986
tailgate	0.0492788
SUVs	0.0491992
furniture	0.0489992
"electric car"	0.0489653
occupant	0.0488136
"software package"	0.0487379
microprocessor	0.048689
wheels	0.0485745
prototype	0.0479492
"integrated circuit"	0.0478716
semiconductor	0.0478621
module	0.0475788
loader	0.0475158
"circuit board"	0.0475104
metal	0.0474804
"compact car"	0.0474322
"cooling system"	0.0473942
"power system"	0.0473818
rudder	0.0468893
idling	0.0468159
"propulsion system"	0.0467197
microchip	0.0465947
wagon	0.0465263
packaging	0.0461271
mini-vans	0.0460747
"truck sale"	0.0459566
hardtop	0.0456488
"control system"	0.045623
V-@@	0.0456055
convertible	0.0454136
alloy	0.0453313
ignition	0.0452434
airship	0.0450794
"steam engine"	0.0450017
"fuel cell"	0.0449694
cylinder	0.04487
tubing	0.0447223
battery	0.044703
PC	0.0446078
minibuses	0.0444973
"silicon chip"	0.0442907
seating	0.0442043
trolley	0.0441379
fastener	0.0439364
"fighter aircraft"	0.0439046
"optical fiber"	0.0435951
wingspan	0.0434737
mast	0.0434436
Taurus	0.0433767
"disk drive"	0.0432951
"personal computer"	0.0430356
garment	0.0429886
elevator	0.0429169
configuration	0.0428832
circuitry	0.0424958
"communications equipment"	0.0424956
duct	0.0419173
"Land Rover"	0.041502
"coaxial cable"	0.0414166
corvette	0.0413185
"software product"	0.0413064
Opel	0.0411978
"lawn mower"	0.0410024
scaffolding	0.0409867
tailpipe	0.0409801
jeep	0.0407934
harvester	0.0407759
Mercedes	0.0407276
"tv set"	0.0406712
"washing machine"	0.0406417
pulley	0.0406185
Microelectronics	0.0405495
"weapon system"	0.0404942
"sewing machine"	0.0403826
weaponry	0.0403782
casing	0.0403312
"operating system"	0.0403145
air-conditioning	0.0400302
kit	0.0400187
))
(Chastain (desc 4629.01) (sims
"Brandi Chastain"	0.212421
Milbrett	0.198197
"Kristine Lilly"	0.196863
"Tiffeny Milbrett"	0.186006
Akers	0.168722
"Michelle Akers"	0.141317
"Julie Foudy"	0.139959
"Mia Hamm"	0.137095
Hamm	0.132194
"Cindy Parlow"	0.131486
Foudy	0.120424
"Kate Sobrero"	0.117523
"Joy Fawcett"	0.114094
Elam	0.102982
Niedermayer	0.096378
Vinatieri	0.0945722
Sissi	0.091149
Gorter	0.0866719
"Carla Overbeck"	0.086537
Andreychuk	0.0865105
Vogts	0.0854265
Muckler	0.0836744
Donato	0.0833654
Klinsmann	0.0827121
Bierhoff	0.0823375
Batistuta	0.0822371
Laudrup	0.0816915
Kamensky	0.0813811
Leetch	0.081259
Stoudamire	0.0808306
Kovalev	0.0805855
Baggio	0.0804859
Sojo	0.0793324
"Joe-Max Moore"	0.0792662
Skiles	0.0775522
Drury	0.0771347
Holik	0.076694
Romario	0.0765902
Suker	0.0761287
Cleaves	0.0760565
Dragila	0.0759648
Bordick	0.0758351
Peca	0.0756832
Chilavert	0.0747947
Jacke	0.0747215
Lilly	0.0747005
Mikhailov	0.073722
LeClair	0.0731831
Phills	0.0728961
Carbonneau	0.0728335
Bratton	0.0727082
Roenick	0.0725914
Tocchet	0.0713396
Salazar	0.0710796
Barrie	0.0709048
Santangelo	0.0703955
Kluivert	0.0702757
Blanc	0.0702317
DeFrantz	0.0701792
Cienfuegos	0.0700768
Sydor	0.0694078
fuller	0.0693702
Huskey	0.0691197
Thuram	0.0690703
Knoblauch	0.0688896
Swann	0.0683363
Neilson	0.0680184
Zidane	0.0680042
Mcbride	0.0677219
Stumpel	0.0676031
Yzerman	0.0675097
STALEY	0.0673494
Ftorek	0.0670805
Bullard	0.0670349
WARRICK	0.0669434
Valentin	0.0667725
Ricci	0.0661734
Meissner	0.0660603
Bulatovic	0.0656681
Drexler	0.0654345
"Sinisa Mihajlovic"	0.0653498
Moreno	0.0652049
Kazan	0.0651441
Hendrickson	0.0651263
Zolak	0.0651122
Woodson	0.0647266
McInnis	0.0646932
Dunleavy	0.0646458
Jagr	0.0641764
Modano	0.0640683
Ronaldo	0.06401
Pele	0.0639887
Djorkaeff	0.063984
Canseco	0.0639414
Galarraga	0.0639183
Audette	0.0638685
Sakic	0.0638537
Bergkamp	0.0637912
Sykora	0.0637866
Smolinski	0.0637589
FAWCETT	0.0635678
MacMillan	0.0631876
Hunsicker	0.0631514
Cai	0.0631035
Aikman	0.0630043
Garnett	0.0629407
Gascoigne	0.0627576
Fedorov	0.0627397
Julich	0.0625782
Sapp	0.0625694
Maradona	0.0625238
"Briana Scurry"	0.0625058
Langenbrunner	0.0621592
Zadornov	0.0621365
McLane	0.0621062
Bebeto	0.0620402
Fisk	0.0620203
McNabb	0.0620184
"Morten Andersen"	0.0619762
Hatcher	0.0619491
"Davor Suker"	0.0618956
Lindros	0.0618551
"Del Piero"	0.0617508
Winn	0.0617356
Gainey	0.0615963
Nieuwendyk	0.0614139
estes	0.0613267
Khannouchi	0.0612258
Barros	0.0612068
Crenshaw	0.0611922
Pederson	0.06117
Maslyukov	0.0610283
Carney	0.0608746
Janikowski	0.0607044
Recchi	0.0604915
McSorley	0.0604582
Szczerbiak	0.060433
Berenson	0.0604319
Armstead	0.060383
Sehorn	0.0603747
Stricker	0.0603008
Gugliotta	0.0602322
Asprilla	0.0601669
McCurry	0.0601563
Burke	0.0600856
"Hidetoshi Nakata"	0.0600044
"Sun Wen"	0.0598335
Cedeno	0.0598175
McKenna	0.059815
Tupa	0.0597479
Nowitzki	0.0597036
Frye	0.0596876
O'Malley	0.0595527
Chaney	0.0595038
Berard	0.0594969
Virenque	0.0594014
Gwynn	0.0593402
Myhrvold	0.0592948
Duchesne	0.0592742
Calvary	0.0592265
Sharpe	0.0591208
Larsen	0.0591193
Mathis	0.0589355
McQueen	0.0588059
Cota	0.0587791
Cummins	0.058769
Sutton	0.058744
Langham	0.0587033
Langdon	0.0586873
Contreras	0.0586767
Messier	0.0586028
Barkley	0.0584375
Krajisnik	0.058417
Joklik	0.0584147
Velarde	0.0584045
Murray	0.0583356
Hoddle	0.0581947
Cullen	0.0581006
Daubach	0.0580538
Montoya	0.0579882
Krone	0.0579732
Bourque	0.057889
Milbury	0.0578746
Polgar	0.0578055
Bure	0.0577506
Artest	0.0577143
Stockton	0.0577096
Iverson	0.0575862
Molinari	0.0575681
Mendes	0.0575077
Fassel	0.0574915
Atler	0.057355
Heinze	0.0573389
Ebersol	0.0572959
Kerr	0.0572879
McNown	0.0572772
Maldini	0.0571908
Kelley	0.057162
Kukoc	0.0571583
Medvedev	0.0571375
))
(chastity (desc 2803.16) (sims
celibacy	0.138917
monogamy	0.111048
abstinence	0.0929924
obedience	0.0820032
promiscuity	0.0691046
faithfulness	0.0638318
cohabitation	0.0568464
virginity	0.0567699
destitution	0.0536513
soulmate	0.052503
underdevelopment	0.0520918
homesickness	0.0514786
"white supremacy"	0.0506292
"Roman Catholicism"	0.0496585
self-control	0.0493242
backwardness	0.0491476
orgasm	0.0488748
ordination	0.0482306
selflessness	0.0478834
homelessness	0.0464999
"balanced diet"	0.0461979
squalor	0.0454355
Eco-tourism	0.044842
confidentiality	0.0443252
decency	0.0442564
"ill health"	0.0442429
joblessness	0.0431779
prerogative	0.0430403
"birth control"	0.0427722
distinctiveness	0.0425748
atheism	0.0414421
self-reliance	0.0413023
"right to privacy"	0.0411989
potency	0.0410024
"European Convention"	0.0408646
steadfastness	0.0407922
))
(chat (desc 35737.7) (sims
conversation	0.141671
interview	0.112601
discussion	0.0979196
"bulletin board"	0.0888164
email	0.0858623
"conference call"	0.0854163
dinner	0.0749729
shopping	0.0745659
lunch	0.0730805
Entertainment	0.0730563
chatter	0.0723369
communication	0.0722776
"jam session"	0.0722278
chitchat	0.0718855
"phone call"	0.0704951
"talk show"	0.0690087
encounter	0.0689963
lecture	0.0682102
"news conference"	0.0680489
meeting	0.0676401
video	0.0668341
audio	0.066754
message	0.0664832
rapport	0.0664195
surfing	0.0661881
correspondence	0.0657592
"telephone call"	0.0647817
session	0.0645347
programming	0.0644372
browsing	0.0637693
forum	0.063575
seminar	0.0635404
briefing	0.0634749
teleconference	0.0630584
auction	0.0629993
contact	0.0628654
update	0.0623684
"telephone conversation"	0.0623303
give-and-take	0.0623146
horoscope	0.0621518
gossip	0.0617071
presentation	0.0613228
debate	0.0611409
"panel discussion"	0.0607815
information	0.0602411
speech	0.05962
newsletter	0.0588075
news	0.0586381
"get together"	0.0585823
quizzes	0.0585106
broadcast	0.0584419
relationship	0.0579266
telephony	0.0575493
interaction	0.057097
Webcast	0.0569099
"electronic mail"	0.05638
sex	0.0563767
networking	0.0561795
viewing	0.0561276
commentary	0.0561257
special	0.0557766
software	0.0555293
counseling	0.0552263
directory	0.0552008
breakfast	0.0551987
postings	0.0550387
"press conference"	0.0549654
interrogation	0.0548879
AD	0.0546677
consultation	0.0545513
contest	0.0544406
Advertising	0.0543888
calendar	0.0541071
music	0.0539126
info	0.0538518
fax	0.0537026
"town meeting"	0.0534383
dialogue	0.0530276
repartee	0.0527027
animation	0.0525296
meal	0.0525038
"small talk"	0.0520257
advertisement	0.0519869
database	0.0519313
content	0.0517515
workshop	0.0516738
"dinner party"	0.051553
concert	0.0515233
reunion	0.0514842
page	0.0514325
Roundtable	0.0513606
Recording	0.0512507
quiz	0.0512036
graphics	0.0511638
fistfight	0.051048
e-commerce	0.0507443
banter	0.0507351
get-togethers	0.0504762
gathering	0.050451
browser	0.0504419
web	0.0504229
workout	0.0503801
Gaming	0.050335
altercation	0.0502986
one-on-one	0.0501053
Portal	0.0498998
Mail	0.0498259
commerce	0.0495816
checkup	0.0494054
listing	0.0493121
data	0.0490616
prayer	0.0490557
ceremony	0.0490471
picnic	0.0485545
"press briefing"	0.0485221
calculator	0.0485148
coverage	0.0484859
appearance	0.0482893
handshake	0.0481138
websites	0.0481015
tutorial	0.0480019
joke	0.0478166
screening	0.0477806
"news show"	0.0476285
server	0.0476161
"TV show"	0.0475793
"information service"	0.0475254
query	0.0475025
pornography	0.0474477
advice	0.04744
scuffle	0.0474375
lesson	0.0473797
format	0.0472833
commercial	0.0471946
Telecast	0.0471071
homework	0.0470857
tutoring	0.0469414
segment	0.046937
clip	0.0468824
Hug	0.0468316
tasting	0.0467884
"computer network"	0.0467335
reading	0.04672
coffee	0.0464929
luncheon	0.0464469
argument	0.0464332
profile	0.0463503
channel	0.0462638
multimedia	0.0462283
bookmark	0.0461709
class	0.0460964
NAP	0.0460512
essay	0.04595
transmission	0.045915
run-in	0.0456522
reunions	0.045598
supper	0.045371
massage	0.0453033
feedback	0.045254
documentary	0.0452041
newscast	0.0450267
snack	0.044943
article	0.0447804
cartoon	0.0447664
"caller ID"	0.044634
deposition	0.044627
"practice session"	0.0445992
symposium	0.0445369
exhibit	0.044384
preview	0.0443783
sermon	0.0443596
questioning	0.0443479
infomercial	0.044278
telephone	0.0442439
spreadsheet	0.0442334
Website	0.0442281
"TV program"	0.0441084
"news program"	0.0440866
"telephone interview"	0.0439612
hookup	0.0439168
user	0.0438006
text	0.0436759
anecdote	0.0435288
booking	0.0433929
tip	0.0433719
rehearsal	0.0433214
column	0.0432648
TV	0.0430842
demonstration	0.0430652
connection	0.0429566
reception	0.0428629
dining	0.0427822
Encryption	0.0427392
celebration	0.0426716
"group discussion"	0.0426643
hearing	0.0425264
"soap opera"	0.0424869
broadcasting	0.0424801
photograph	0.0424635
Exhibition	0.0422705
))
(Chateau (desc 10647.4) (sims
Castle	0.121973
farmhouse	0.105477
"country house"	0.101601
mansion	0.100377
winery	0.0961078
"Elysee Palace"	0.0934974
Monastery	0.0920331
Villa	0.0891146
Convent	0.088203
palace	0.0875252
RAMBOUILLET	0.0849754
inn	0.0807381
cottage	0.0796264
brownstone	0.0785928
townhouse	0.0751684
"manor house"	0.0741615
schoolhouse	0.0741592
Palazzo	0.0727246
estate	0.0725155
Cathedral	0.0685655
dacha	0.0675916
residence	0.0674909
"conference center"	0.0674011
Shepherdstown	0.0673313
Fort	0.0670968
edifice	0.0661965
"town house"	0.0658207
manor	0.0653744
Ritz-Carlton	0.0650015
resort	0.0636954
Vineyard	0.0636219
fortress	0.0633166
"Wye Plantation"	0.0631931
cloister	0.0626446
velodrome	0.0623868
"opera house"	0.0618879
amphitheater	0.0614586
abbey	0.0606437
"Plaza Hotel"	0.0596385
hacienda	0.0595432
"resort hotel"	0.0595406
"beach house"	0.0586827
"Royal Palace"	0.0576299
ranch	0.0575737
bed-and-breakfast	0.0571507
"Great Hall"	0.0571193
"U.N. Headquarters"	0.0569833
"log cabin"	0.0568785
"country club"	0.056611
varietals	0.0559463
"mobile home"	0.0555291
"ranch house"	0.055449
brewery	0.0554269
campsite	0.0552788
pagoda	0.0548803
commune	0.0548468
Basilica	0.0547982
"dairy farm"	0.0546106
hostel	0.0544129
"Diaoyutai State Guesthouse"	0.0544052
guesthouse	0.0542706
pub	0.0536932
cafe	0.0536262
motel	0.0531143
Piedmont	0.0530783
landmark	0.0528642
"Seasons Hotel"	0.0527338
tavern	0.0526582
bungalow	0.0526499
chapel	0.052631
"Ritz-Carlton Hotel"	0.0524597
"supper club"	0.0524103
"town hall"	0.0523546
"row house"	0.0522557
cemetery	0.0521239
vintage	0.0518753
cabin	0.0518587
temple	0.0516296
"Presidential Palace"	0.0508325
Waldorf-Astoria	0.0505224
Tower	0.0502384
Bordeaux	0.0501941
"Victoria Falls"	0.0500634
synagogue	0.0500559
"carriage house"	0.0500549
"art collection"	0.0500466
shack	0.0500288
"apartment building"	0.0499879
"slave ship"	0.0498621
"summer house"	0.0495486
"Mount Vernon"	0.0493258
"Windsor Castle"	0.0493072
Versailles	0.0492301
Colosseum	0.0491172
barrack	0.0488716
campground	0.0488232
mosque	0.0484625
"Boland Hall"	0.04826
"city hall"	0.0481859
"concert hall"	0.0479832
cave	0.0479302
dwelling	0.0478798
"office building"	0.0477841
sanatorium	0.0477001
"Downing Street"	0.0476739
winemaker	0.04755
rotunda	0.0474976
bistro	0.0471239
"Old City"	0.0470867
mausoleum	0.0470709
"World Trade Center"	0.0469984
cabinetmaker	0.0467079
"Sonoma County"	0.0466632
courthouse	0.0463437
"trailer park"	0.0461809
condo	0.0460899
homestead	0.0460884
Panmunjom	0.0459835
barn	0.045792
dormitory	0.0455541
zoo	0.0455014
"bank building"	0.0454909
cellar	0.0454722
Victorian	0.0454317
"cattle ranch"	0.0453883
tenement	0.0453877
RV	0.045302
hilltop	0.0451949
"West Lake"	0.0445345
Colonial	0.0444726
"movie studio"	0.0443558
"Holiday Inn"	0.0440605
"Union Station"	0.0440218
facade	0.0440004
"Potala Palace"	0.0439147
"Camp David"	0.0439097
hut	0.0436439
"sailing ship"	0.0435952
"Andrews Air Force Base"	0.0434862
Lighthouse	0.0434115
monument	0.0433863
Zhongnanhai	0.0431312
orchard	0.0430618
Monticello	0.0430618
"Palm Beach"	0.0429245
"piece of land"	0.042861
"piece of furniture"	0.0428596
"funeral home"	0.0428539
Dome	0.0426473
shrine	0.0425569
pyramid	0.0424737
plantation	0.0423182
ritz	0.0422327
Warehouse	0.0422304
storefront	0.0421211
Marina	0.0419846
"Miami Beach"	0.0418452
high-rise	0.0418411
"watering hole"	0.04182
condominium	0.0417781
delicatessen	0.0417471
"housing development"	0.0416366
fountain	0.0414884
Grove	0.0413553
"air base"	0.0411529
antique	0.0408076
Capitol	0.0407403
Dodgertown	0.0406955
saloon	0.0406409
Nantucket	0.0406377
"three pitchers"	0.0406285
plaza	0.0405911
quarry	0.0405264
Stormont	0.0404421
racehorse	0.0404141
"Bordeaux wine"	0.040412
"stone wall"	0.0403849
"vacation home"	0.0402411
loft	0.0401557
))
(Chatham (desc 1867.12) (sims
"East Orange"	0.226877
Westfield	0.217049
Montclair	0.195002
Braintree	0.1867
Falmouth	0.186002
Riverdale	0.183767
Englewood	0.17625
"Highland Park"	0.170756
Morristown	0.16854
"Fort Lee"	0.16381
Lawrenceville	0.161499
Bridgewater	0.1606
Elmira	0.160091
LAKEWOOD	0.156709
Williamstown	0.148285
Holyoke	0.147866
"Cherry Hill"	0.146953
Gloucester	0.146712
Medford	0.144762
Poughkeepsie	0.144721
Brockton	0.144337
Somerville	0.14061
"West Orange"	0.139659
Brentwood	0.139162
Needham	0.138705
Woodbridge	0.136192
Ashland	0.13604
Chester	0.134152
Tarrytown	0.132455
"Great Neck"	0.13238
Clifton	0.131843
Bloomfield	0.131482
Salem	0.131022
"Sussex County"	0.129819
Irvington	0.12916
Wildwood	0.128917
Walkerton	0.128275
Pomona	0.127318
Chappaqua	0.125896
BRIGHTON	0.124725
Winchester	0.124617
"Union City"	0.1232
"New Rochelle"	0.123028
"Newport Beach"	0.122977
Peekskill	0.122297
"Crystal City"	0.121642
Schenectady	0.121559
"Saratoga Springs"	0.121199
Pittsfield	0.120819
MINEOLA	0.120726
"Paradise Valley"	0.118727
"Long Island City"	0.118578
Ridgewood	0.117624
Hillsboro	0.117226
Aberdeen	0.117053
Camden	0.116804
"East Los Angeles"	0.115066
Plano	0.114952
Hopkinton	0.114664
"Ocean City"	0.114451
Watertown	0.113966
Middletown	0.113686
Brewster	0.112024
Acton	0.11176
Bridgehampton	0.11147
Tarzana	0.110518
Matamoros	0.110124
"Bergen County"	0.10953
Fairfield	0.109321
"Woods Hole"	0.109287
"Warren County"	0.108332
Woburn	0.108017
Westport	0.107424
Norwood	0.10686
Plattsburgh	0.106842
Ithaca	0.106383
bethel	0.106164
Eureka	0.106157
Encino	0.105896
Ipswich	0.105745
Lynchburg	0.105472
Redding	0.105432
Hoboken	0.104988
"Garden City"	0.104975
Jamestown	0.104669
Groton	0.104651
Hackensack	0.104076
Carthage	0.104029
Scarsdale	0.103713
Secaucus	0.103554
Sussex	0.103469
Peterborough	0.103158
Charlestown	0.102897
Naperville	0.102888
Montauk	0.102357
"Virginia Beach"	0.102332
Easton	0.102288
Randolph	0.102141
Kingston	0.101954
Walpole	0.101423
Somerset	0.101095
"East St. Louis"	0.1002
Norwich	0.0997644
Essex	0.099735
Bensonhurst	0.099734
Wellesley	0.0996713
"Fall River"	0.0993763
Mendocino	0.098932
Framingham	0.0986938
Princeville	0.098547
Huntington	0.0983597
riverside	0.0982787
TRENTON	0.0980974
"Rocky Mount"	0.0980967
"Hyde Park"	0.0977928
Utica	0.0977728
Cumberland	0.0977148
Sparta	0.0972855
Burlington	0.0972571
Greenwich	0.0971849
DeKalb	0.0969869
Waterloo	0.0967574
Madison	0.0967092
Northampton	0.0964958
"White Plains"	0.0964861
Stafford	0.0963707
Flushing	0.0962744
"Sherman Oaks"	0.0962602
Mansfield	0.0962121
Hillsborough	0.0960524
Windsor	0.0959422
Stamford	0.0957665
"Woodland Hills"	0.095512
Paterson	0.0951945
Bedford	0.0951808
Rutherford	0.0947997
Wilmington	0.094235
Orleans	0.0942263
"Niagara Falls"	0.0941868
Moroni	0.0941595
"New London"	0.0941132
Pelham	0.0937929
Bergen	0.0937121
Springfield	0.0936844
"North Hollywood"	0.0935642
Hempstead	0.0935046
Quincy	0.0933432
Wheaton	0.0930179
Passaic	0.0929539
Rockland	0.0929178
Amherst	0.0924489
Stratford	0.092011
Lakeland	0.0920046
"Iowa City"	0.0919456
ASHEVILLE	0.0919421
Prescott	0.0918222
"New Bedford"	0.0916214
"Hell's Kitchen"	0.0915512
"Port Elizabeth"	0.0910489
Xenia	0.0907273
Youngstown	0.0907231
Dorchester	0.0905266
Carlisle	0.0904752
Skaneateles	0.0902434
"Thousand Oaks"	0.0901611
Nantucket	0.0900972
"Pacific Palisades"	0.0900454
Cornwall	0.0898324
ATTLEBORO	0.0894764
Suffolk	0.0893572
Waltham	0.0890788
Freeport	0.0890571
Fredericksburg	0.0888663
Peoria	0.0888429
Yonkers	0.0888353
Alameda	0.0883747
canton	0.0883134
Wallingford	0.0879215
"TOMS RIVER"	0.0875337
Dover	0.087416
Plymouth	0.0873847
Elgin	0.0868528
Uniondale	0.0868489
Middlesex	0.0866344
Brookline	0.0866184
"Baton Rouge"	0.08652
Decatur	0.0862413
"Walnut Creek"	0.0860909
Zhangbei	0.086006
"New Canaan"	0.0857758
Dundalk	0.0856435
Astoria	0.0855662
"San Luis Obispo"	0.0854544
Macon	0.0851716
"Chapel Hill"	0.0851053
Milton	0.0850694
"San Mateo"	0.0845841
"St. Thomas"	0.0845322
Hamilton	0.0844929
"Westchester County"	0.0842319
))
(Chatsworth (desc 2993.35) (sims
Encino	0.255501
"Woodland Hills"	0.255137
Reseda	0.25386
Tarzana	0.237631
"Granada Hills"	0.236276
"Van Nuys"	0.20382
"Studio City"	0.184366
LAKEWOOD	0.180585
"North Hollywood"	0.176887
Calabasas	0.174187
Glendale	0.169281
"Thousand Oaks"	0.16568
"Simi Valley"	0.163502
"Sherman Oaks"	0.162193
Burbank	0.156224
Alpharetta	0.155551
Englewood	0.152099
"Santa Clarita"	0.148443
Dunwoody	0.145281
"Culver City"	0.140248
Pacoima	0.137449
"El Segundo"	0.137436
"Westlake Village"	0.136561
Sausalito	0.135321
"San Fernando Valley"	0.135009
"La Jolla"	0.131432
Burlingame	0.130541
"South San Francisco"	0.128885
Buckhead	0.125684
Medford	0.123986
Duluth	0.123524
"Manhattan Beach"	0.123122
Riverdale	0.123066
Oxnard	0.122988
Chappaqua	0.12124
"Overland Park"	0.120093
"Paradise Valley"	0.11967
Stockbridge	0.119094
ARCADIA	0.118756
"Walnut Creek"	0.116536
riverside	0.115601
Bensonhurst	0.115302
"Midtown Manhattan"	0.115205
"Pacific Palisades"	0.112295
"Cobb County"	0.11138
"East Orange"	0.110138
Brentwood	0.10916
Amherst	0.108683
"Huntington Beach"	0.108446
"Century City"	0.108115
"Delray Beach"	0.107803
"San Fernando"	0.106877
"Fort Lee"	0.106682
Modesto	0.106499
"Silver Spring"	0.106323
Emeryville	0.105301
Westport	0.104963
Sunnyvale	0.10437
Petaluma	0.104214
Fremont	0.103177
Fresno	0.102477
"Santa Monica"	0.102376
"San Rafael"	0.102221
"Borough Park"	0.101964
Carmel	0.101953
"Cherry Hill"	0.101291
"Newport Beach"	0.101196
Quincy	0.101075
Bedford-Stuyvesant	0.101029
Morristown	0.100646
Wallingford	0.100426
"Garden City"	0.100119
Lawrenceville	0.0996478
"Sandy Springs"	0.0991816
Torrance	0.0989217
"West Palm Beach"	0.0987019
Westfield	0.0982285
Watertown	0.098204
Camarillo	0.0980787
"Mill Valley"	0.0978334
Woodside	0.0973337
"Hollywood Hills"	0.0972144
Carrollton	0.0970224
"New Rochelle"	0.0967741
"Marin County"	0.0955781
"Brighton Beach"	0.095494
"Westchester County"	0.0953711
"Sun Valley"	0.0952032
Somerville	0.0942774
Eureka	0.0942145
Norcross	0.0938062
"Palo Alto"	0.0936302
"East New York"	0.0933893
BRIGHTON	0.0932688
Woburn	0.093195
"Stone Mountain"	0.0931807
"Park Slope"	0.0931089
"Boynton Beach"	0.0931081
Scarsdale	0.0926847
Plano	0.092625
"Washington Heights"	0.0926246
Northland	0.0926064
Kensington	0.0922363
"West Hollywood"	0.092225
Gloucester	0.092019
"San Mateo"	0.0920117
Malden	0.0918296
Northridge	0.091571
"South End"	0.0913291
Bellevue	0.0911332
Pomona	0.0908258
Smyrna	0.0905529
Covington	0.0903813
Arlington	0.0898416
"Lake Worth"	0.0894224
Claremont	0.0890684
"White Plains"	0.0888246
Tempe	0.0886578
Matamoros	0.0885406
"Mountain View"	0.0885113
Framingham	0.0881804
Lancaster	0.0880392
"East Bay"	0.0876115
"Greenwich Village"	0.0875531
Tarrytown	0.0873662
Pasadena	0.087076
"Santa Rosa"	0.0868752
Inglewood	0.086603
Alameda	0.0865649
"Round Rock"	0.0864599
Hialeah	0.0863232
Needham	0.0861092
Macon	0.0861038
Cupertino	0.0860026
"Baton Rouge"	0.0856699
Holyoke	0.0853711
"Virginia Beach"	0.0853118
Roxbury	0.0852954
Bangor	0.0848866
"San Marcos"	0.084816
Williamsburg	0.0847788
Leawood	0.0843012
"Palm Springs"	0.0841675
Bethesda	0.0840657
"Boca Raton"	0.0839562
Deerfield	0.0831672
"Union City"	0.0831114
Wilmington	0.082973
"Highland Park"	0.0829486
"Mission Viejo"	0.0829463
Falmouth	0.0829007
"San Carlos"	0.082592
Northampton	0.0824196
"North Beach"	0.0817387
Kirkland	0.0811515
"Saratoga Springs"	0.0811363
"Beverly Hills"	0.0808681
Redding	0.0805964
"Sun City"	0.0805437
Scottsdale	0.080326
"Hell's Kitchen"	0.0802907
Naperville	0.0801037
"Oklahoma City"	0.0799388
Brunswick	0.0798531
Dorchester	0.0796477
Ridgewood	0.0795066
"Brooklyn Heights"	0.0793243
"Gwinnett County"	0.0787333
Waltham	0.0786078
Port-au-Prince	0.0785446
"Crown Heights"	0.0784843
Montclair	0.0784525
Fairfax	0.078345
Tribeca	0.0783218
Fairfield	0.0780752
Marietta	0.0775746
Tijuana	0.0775437
Carlsbad	0.0772131
Bakersfield	0.0772035
Albany	0.0771124
"Palm Beach Gardens"	0.0771047
"Orthodox Jewish"	0.0770561
Rockville	0.0770079
Irving	0.0769555
Camden	0.0767024
Clifton	0.0766549
Charlestown	0.0763122
"Orange County"	0.0759937
"Twin Cities"	0.0758584
Conyers	0.0758068
Rochester	0.0756165
Brookline	0.0752459
Greenwich	0.0752346
Farmington	0.0747734
oceanside	0.0746478
"East Los Angeles"	0.0745011
"San Luis Obispo"	0.0744647
"College Park"	0.0740772
Decatur	0.0740196
Flatbush	0.0739936
))
(Chattahoochee (desc 1477.79) (sims
Nenjiang	0.164119
Tigris	0.163059
Ganges	0.147918
Mekong	0.146598
Huaihe	0.140061
Songhua	0.13019
"Mekong River"	0.119453
Tarim	0.115991
Euphrates	0.111495
"Pearl River"	0.108331
"Cape Fear"	0.0990727
"Huaihe River"	0.0989987
"Chesapeake Bay"	0.0969718
Rhine	0.0950566
Nen	0.0942551
Liaohe	0.0873434
"Lake Ontario"	0.0854822
Seine	0.0812267
Yangtze	0.0808022
mangrove	0.0759093
Danube	0.0742043
Nile	0.0721245
Cumberland	0.0715145
"old growth"	0.0701208
"ponderosa pine"	0.0692281
Saginaw	0.0691
"Nile River"	0.0683004
"Dead Sea"	0.0670922
"white water"	0.0670876
Amazonian	0.0658686
"Yellow Sea"	0.063641
"Sam Houston"	0.0630218
Potomac	0.0622107
"Far Eastern"	0.0619761
Catskill	0.0617285
"Montego Bay"	0.0603889
"Grand Central"	0.0600513
Pecos	0.0575078
Rhone	0.0574952
flint	0.0573088
Wetland	0.0568945
"Haihe River"	0.0564045
headwaters	0.0563007
Guadalupe	0.0556695
"San Pedro"	0.055629
Durand	0.0552404
"National Autonomous University"	0.0550336
Xin	0.0541929
"Bohai Sea"	0.0541255
una	0.0538326
Prescott	0.0533653
"water table"	0.0533029
Zhongguancun	0.053279
estuary	0.0529657
"Colorado River"	0.0528695
riverfront	0.0519074
"Old Town"	0.051598
"tropical rain forest"	0.0514139
"first school"	0.0513095
Killington	0.0512634
"Rio Grande"	0.0511474
"Beibu Gulf"	0.0510558
Lijiang	0.0506422
Yellowstone	0.0505935
"dry land"	0.0504225
"Lake Victoria"	0.0504002
Batticaloa	0.0500135
"P.J Carlesimo"	0.0496283
kelp	0.049412
Winston-Salem	0.0491861
"East Lake"	0.048941
Trincomalee	0.0487577
cedar	0.0483587
"Delaware River"	0.0483185
Xiaolangdi	0.0477348
"Taihu Lake"	0.0475058
Kono	0.0474622
groundwater	0.0470998
wetlands	0.0469406
endoscope	0.0463314
"white pine"	0.046042
"river basin"	0.0453487
coho	0.0453033
Tahoe	0.0449723
"Lake Tahoe"	0.0449577
"San Bernardino"	0.0448881
MSC	0.0448669
CityWalk	0.0445812
geyser	0.0444497
savanna	0.0442961
Hemlock	0.0440333
"Thandie Newton"	0.0433478
"Interstate @"	0.0433411
ranching	0.0433096
"Connecticut River"	0.0432635
Mullaitivu	0.0431839
"bluefin tuna"	0.0431317
"mountain range"	0.043123
"Fort Worth-Dallas"	0.0430235
"hot pants"	0.0429021
"San Marcos"	0.042716
Carmel	0.0426499
"Niger Delta"	0.0425536
ODA	0.0425209
"Virgin Islands"	0.0423054
Conifer	0.0422015
"San Carlos"	0.0419722
Sulawesi	0.0418815
glade	0.0418784
Blondie	0.0416977
aquifer	0.0413947
bio-diversity	0.0411425
cypress	0.0409447
"San Francisco Bay"	0.0408978
Deerfield	0.0408901
"ground water"	0.0408345
Burnt	0.0407435
Bataan	0.0407108
Gullit	0.0405879
Sylhet	0.0404554
"cultivated land"	0.0404229
stockyard	0.0401003
Galilee	0.0400611
))
(Chattanooga (desc 5416.92) (sims
Knoxville	0.143931
Morristown	0.131144
Wichita	0.120231
Birmingham	0.116463
Memphis	0.113304
Macon	0.110639
"New Orleans"	0.108897
Greenville	0.108237
Raleigh	0.107956
"Union City"	0.107577
Hillsboro	0.106753
ASHEVILLE	0.105226
Minneapolis	0.105066
Nashville	0.103449
Richmond	0.102897
Louisville	0.102815
Plattsburgh	0.102607
Binghamton	0.101219
"Fort Lauderdale"	0.101072
Honolulu	0.0995461
"West Palm Beach"	0.0993337
Yonkers	0.0991604
Greensboro	0.0978545
"Grand Rapids"	0.0978011
Jacksonville	0.0973627
Columbus	0.0968055
Rochester	0.0960366
anchorage	0.0956228
Topeka	0.0955147
Roanoke	0.0952485
Americus	0.0944488
Tampa	0.0942072
"Baton Rouge"	0.0941909
Charleston	0.0924957
Brownsville	0.0922862
Albany	0.0918839
"Garden City"	0.0916774
Flagstaff	0.091149
Tucson	0.0907593
Lubbock	0.0906
"New Haven"	0.090233
"St. Petersburg"	0.0901047
Harrisburg	0.0890494
"Little Rock"	0.0890237
"Fort Worth"	0.0881858
Jamestown	0.0877266
"El Paso"	0.0874743
Youngstown	0.0873508
"Des Moines"	0.0871816
Bridgeport	0.0870379
Savannah	0.0863812
Winston-Salem	0.0863153
Hartford	0.0863143
Laredo	0.0860846
Naperville	0.085917
Spokane	0.0855488
Bangor	0.0850955
"Santa Barbara"	0.0849435
"Quebec City"	0.0847069
Haifa	0.0846652
"Oak Ridge"	0.0837298
LAKEWOOD	0.0836529
Augusta	0.0836527
"Jefferson City"	0.0834798
Redding	0.0834496
Austin	0.0832667
"Twin Cities"	0.0832124
Huntsville	0.0829938
"St. Paul"	0.0828732
"Salt Lake City"	0.0824627
Montgomery	0.0821626
"Great Neck"	0.081922
"Mexico City"	0.0818957
Portland	0.0816854
BOGOTA	0.0815868
Tacoma	0.0811653
"Corpus Christi"	0.0810447
Smyrna	0.0809809
"San Jose"	0.0807022
Paterson	0.080466
"Guatemala City"	0.0803637
Orlando	0.0803234
Beaumont	0.0798732
Shreveport	0.0793869
Albuquerque	0.0786799
Manchester	0.0785461
Charlotte	0.0785268
"San Diego"	0.0783034
Bristol	0.0776643
Brunswick	0.0774035
Denver	0.0773626
"Saratoga Springs"	0.0771267
Duluth	0.0770922
Boise	0.0770719
"Oklahoma City"	0.0766062
Fresno	0.0763125
Phoenix	0.0760259
"San Antonio"	0.0759632
Milwaukee	0.0757248
Ensenada	0.0753129
Scranton	0.0752824
"St. Louis"	0.0751047
Detroit	0.0750779
Naples	0.0748378
Akron	0.0748176
Peoria	0.0746623
Missoula	0.0746428
Providence	0.0746407
Burlington	0.0745091
"Kansas City"	0.0744939
Stamford	0.0744042
Gainesville	0.0743502
"Palm Springs"	0.0743331
Dayton	0.0742795
"Fort Collins"	0.0742732
Indianapolis	0.0742194
"Washington D.C."	0.0742132
Northampton	0.0741786
Harlingen	0.0740497
"White Plains"	0.0739548
Wilmington	0.0738804
"Las Vegas"	0.0737712
Baltimore	0.0736878
Elmira	0.073664
Cincinnati	0.0735839
Sacramento	0.0733065
Eureka	0.0731603
Greenwich	0.0729008
Winnipeg	0.07286
Lynchburg	0.0728003
Springfield	0.072779
Fairfield	0.0727495
Lexington	0.0726861
"Boca Raton"	0.0725001
Newark	0.0724346
"Myrtle Beach"	0.072355
Guadalajara	0.0723019
Utica	0.0722006
Nogales	0.0716703
Monterrey	0.0716278
Calgary	0.0715748
Mobile	0.0714697
"Thousand Oaks"	0.07125
Taipei	0.07115
"Panama City"	0.0711075
Kingston	0.0710513
"Miami-Dade County"	0.0709607
"Daytona Beach"	0.0705598
Waterbury	0.07033
Carthage	0.0700695
TALLAHASSEE	0.0697989
Pittsburgh	0.0697914
Schenectady	0.0696635
TRENTON	0.0696428
ATHENS	0.0695999
Port-au-Prince	0.0694282
"Erie County"	0.0693738
Fredericksburg	0.0691821
L.A	0.0690312
Fayetteville	0.0688765
Kalamazoo	0.0688585
Managua	0.0687867
Sedona	0.0687651
riverside	0.0687585
"Jersey City"	0.0685752
Kissimmee	0.0683514
Watertown	0.0682152
Clearwater	0.0681788
Vavuniya	0.0680776
Matamoros	0.0679838
Freeport	0.0679698
"East St. Louis"	0.067828
Baalbek	0.0677008
Poughkeepsie	0.0675907
"San Pedro Sula"	0.06754
"Walnut Creek"	0.0673308
"Crystal City"	0.0672523
Sunnyvale	0.0671362
Vancouver	0.0670844
Miami-Dade	0.0668866
Vukovar	0.0667992
Tijuana	0.066549
Durham	0.0664734
Palmdale	0.0664476
Antioch	0.0663663
borough	0.0663312
Lima	0.0662274
Odessa	0.0658757
Jasper	0.0657522
Marjayoun	0.0657468
Burbank	0.0655253
Montclair	0.0655
"Tel Aviv"	0.0654097
"Iowa City"	0.0651676
Middletown	0.0651429
"Santa Fe"	0.0650706
flint	0.065014
Huambo	0.0649769
"Fort Wayne"	0.0648957
Prizren	0.0648618
))
(chatter (desc 15188) (sims
blather	0.0885116
chitchat	0.0817043
banter	0.0813706
laughter	0.0798143
buzz	0.0792164
noise	0.079142
speculation	0.077413
conversation	0.0765472
gossip	0.0748951
chat	0.0723369
rumor	0.070506
patter	0.0689213
murmur	0.0680167
baloney	0.067532
joke	0.0674339
hubbub	0.0672307
hype	0.063435
excitement	0.0631794
"small talk"	0.0593455
hearsay	0.0583982
boo	0.0583556
query	0.0582204
invective	0.0574419
whisper	0.0573232
hoopla	0.0571536
commotion	0.0570543
nonsense	0.0555036
bluster	0.0550311
ribbing	0.054942
hand-wringing	0.0549063
adulation	0.054869
conjecture	0.0546328
babble	0.0544034
applause	0.0543349
anecdote	0.0535766
clamor	0.0531598
rumblings	0.0530275
confusion	0.0523581
static	0.0520164
sob	0.0518044
rhetoric	0.051608
commentary	0.0515472
enthusiasm	0.0515168
skepticism	0.0509822
controversy	0.0507059
optimism	0.0499158
posturing	0.0493997
jeer	0.0493582
finger-pointing	0.0492675
distraction	0.0492675
curiosity	0.048955
anxiety	0.0486529
groan	0.0483776
drone	0.048376
humor	0.0483088
angst	0.047404
shriek	0.0472328
horseplay	0.0467282
accolade	0.0465138
tumult	0.0464585
verbiage	0.0463865
frenzy	0.0463812
advice	0.0462854
clatter	0.0461508
acrimony	0.0460813
apprehension	0.0459481
one-liner	0.0457704
"phone call"	0.0456007
tidbit	0.0452885
back-and-forth	0.045237
sentiment	0.0451874
clutter	0.0449204
airplay	0.0448984
feedback	0.0447485
Din	0.0447285
skeptic	0.0443279
trepidation	0.0442387
partygoer	0.0442381
soul-searching	0.0439939
singing	0.0437874
downtime	0.0437801
shouting	0.0437116
emotion	0.0436397
musings	0.043363
jingle	0.0433328
furor	0.0433044
crap	0.043071
postings	0.0428954
wrangling	0.0427762
sadness	0.042574
suspense	0.0425355
repetition	0.0423093
narration	0.0422914
heckling	0.0422879
rancor	0.0422555
advertisement	0.0422145
beep	0.0420052
"saber rattling"	0.0419892
recrimination	0.0419562
bickering	0.0419345
outburst	0.0417986
misinformation	0.0416697
ferment	0.0415722
refrain	0.0412794
uncertainty	0.0412322
fuss	0.0411888
publicity	0.041174
correspondence	0.0409658
naysayer	0.0408823
caller	0.0405424
clapping	0.0403885
smut	0.0403648
phrase	0.040248
aggravation	0.0401987
trivia	0.0400945
bloodletting	0.040083
))
(Chaucer (desc 1874.44) (sims
Goethe	0.0833247
Pushkin	0.0786254
Archimedes	0.078624
Junger	0.0771814
"King Arthur"	0.074279
Thoreau	0.0722324
"Robert Frost"	0.0720327
Dickens	0.0701573
Hemingway	0.0690245
Chekhov	0.0665157
Gibbon	0.0660315
Schiller	0.0622273
"Charles Dickens"	0.0613232
Plath	0.0609424
MACHIAVELLI	0.0589639
Heade	0.058196
Tolstoy	0.0579684
"Eugene O'Neill"	0.0578776
"T.S Eliot"	0.0575436
Austen	0.0571986
Chardin	0.0570612
Schell	0.0569541
"Edgar Allan Poe"	0.0566659
"William Faulkner"	0.0564951
Orwell	0.0564084
Trollope	0.0559332
Torah	0.0556544
Nietzsche	0.054973
Allchin	0.0547767
O'Keeffe	0.0541928
Hamill	0.054123
Puzo	0.0538446
"Spice Girls"	0.0536795
Salinger	0.0534912
"Jane Austen"	0.0523552
Yat-sen	0.0523511
Twain	0.0520646
Lowry	0.0519759
"American Revolution"	0.0518847
Stoppard	0.0518263
Hirst	0.0516939
Wharton	0.0514927
Gachet	0.0513921
Aristotle	0.0512671
"Arabian Nights"	0.051058
Schoenberg	0.0501493
"English Patient"	0.0501132
"Earth Day"	0.0496853
"Life Is Beautiful"	0.0493636
Harbison	0.0487929
Rodrigo	0.0483557
Naipaul	0.0481992
Zhivkov	0.048137
Tito	0.0478376
Bard	0.0476318
Tilberis	0.0475499
Messiaen	0.0473293
"Great War"	0.0473156
Talmud	0.0472175
Celestine	0.0471993
"Benjamin Franklin"	0.0471285
Moliere	0.0468857
Lange	0.046761
"Neil Simon"	0.0466026
Kafka	0.0465478
Proust	0.0460608
"Sigmund Freud"	0.046007
Greenwald	0.0459505
"New Testament"	0.0459124
Klemperer	0.0459031
Mozart	0.0455793
Bach	0.044908
Sade	0.0447359
"Gilbert and Sullivan"	0.0444954
"Lewis Carroll"	0.0440159
Koran	0.0437037
Tevanian	0.0436342
Rothko	0.0436034
Inuit	0.0431723
Shostakovich	0.0430588
Centenary	0.0430585
"Old Testament"	0.0429209
Postel	0.04284
"Charles Darwin"	0.0426755
Khomeini	0.0426201
"Mother Teresa"	0.0425834
Kurosawa	0.0423908
Hoffmann	0.0423303
Cicero	0.0423051
"Emily Dickinson"	0.0422514
Chappell	0.0422081
Nostradamus	0.042192
"Elmore Leonard"	0.0420973
Ravelstein	0.0419295
Ibsen	0.0419037
"wonder drug"	0.0418516
Vinci	0.0417741
Merritt	0.041729
"Perfect Murder"	0.0416659
"Mao Zedong"	0.041634
"Genghis Khan"	0.041588
"Virginia Woolf"	0.0412508
MAMET	0.0412147
Alexie	0.041053
"Oscar Wilde"	0.0409852
"Thomas Jefferson"	0.04094
Poe	0.0405663
Yoakam	0.04051
Loeb	0.0405063
Garth	0.0403518
Nabokov	0.0403107
Huffington	0.0402407
"Moby Dick"	0.0401123
Melville	0.0400604
"Vincent van Gogh"	0.0400253
))
(Chaudhry (desc 3170.02) (sims
"Mahendra Chaudhry"	0.297088
Chavalit	0.158879
Koirala	0.145755
Deuba	0.139675
D'Alema	0.135504
Buzek	0.125937
Gowda	0.124781
Guterres	0.123097
Erbakan	0.122051
Banharn	0.121089
Rifkind	0.121022
Bulatovic	0.120059
Chuan	0.118886
Bondevik	0.118718
Hariri	0.11762
Ecevit	0.117228
Vasile	0.117205
Gujral	0.117188
Musharraf	0.115046
Amato	0.114312
Kagame	0.114205
Nano	0.113908
Stepashin	0.113402
Bucaram	0.113288
Rao	0.113262
Hasina	0.112629
Berlusconi	0.109641
Chretien	0.10921
Vieira	0.108894
Aznar	0.108285
Dodik	0.107861
Dehaene	0.107314
"Yoshiro Mori"	0.107151
Yilmaz	0.107096
"Lokendra Bahadur Chand"	0.107086
Fabius	0.106759
Vajpayee	0.106406
Husseini	0.105358
Ciampi	0.105201
Lukashenko	0.105182
Majali	0.104878
Hashimoto	0.104671
Meciar	0.104419
Kabbah	0.103185
Majko	0.103131
Pustovoitenko	0.102582
"Chavalit Yongchaiyudh"	0.102235
Bolger	0.101164
Djukanovic	0.100913
Kabariti	0.10068
"Deve Gowda"	0.100396
Orban	0.100063
"Prime Minister Banharn Silpa-Archa"	0.0998233
Sharif	0.0995038
Obasanjo	0.0988467
Peres	0.0982549
Obuchi	0.0978447
Thatcher	0.0973208
"Atal Bihari Vajpayee"	0.0970794
Rafsanjani	0.0970547
Plavsic	0.0969395
Gargan	0.0967954
Wahid	0.096602
Sharansky	0.0965539
Kok	0.0962462
Mohajerani	0.0951891
"Dai Bingguo"	0.0950385
Menem	0.0949244
Sarid	0.0947362
Lazarenko	0.0943225
Bhutto	0.0939619
"Romano Prodi"	0.0937903
Samper	0.0936902
Allende	0.0935902
"De Soto"	0.0934959
Trimble	0.0934495
"Hun Sen"	0.0934038
Kiriyenko	0.0932179
Kuchma	0.0925978
Prodi	0.0922367
Benazir	0.0920965
Buthelezi	0.0919385
Buyoya	0.0916927
"Chuan Leekpai"	0.0913565
Hybl	0.0908697
Velayati	0.0907656
"Jean Chretien"	0.0905378
Diouf	0.0905373
Poplasen	0.0904908
Mordechai	0.0902431
Dini	0.0902158
Bhattarai	0.0900037
"Supachai Panitchpakdi"	0.0898214
Mori	0.0896265
"Zhu Rongji"	0.0893342
Hoss	0.0890899
Zuma	0.0886573
"Atal Behari Vajpayee"	0.0885385
Rabbani	0.0882683
Azad	0.0882523
Kumaratunga	0.0882454
Mokhehle	0.0881853
Lipponen	0.0881098
Mbeki	0.08798
Leghari	0.0878566
Simitis	0.0877989
"Bashkim Fino"	0.0874804
"Tariq Aziz"	0.0873454
Hekmatyar	0.0873312
"Faisal Husseini"	0.0872483
Klima	0.0869639
Aleman	0.0864216
Jia	0.0863801
Ahern	0.0863753
Chand	0.0862075
Sergeyev	0.0859525
"Khaleda Zia"	0.0857596
Aquino	0.0856556
Stoyanov	0.0856079
Murayama	0.0855713
Mikhailov	0.0854475
Schuessel	0.08539
Bouchard	0.0852607
Montiel	0.084981
Kwasniewski	0.0849139
Patasse	0.0847414
Habibie	0.0847273
"Rafik Hariri"	0.0846645
Abubakar	0.0845007
Beilin	0.084306
Muluzi	0.083502
Santer	0.0834918
Nazarbayev	0.0833869
Mahathir	0.083334
Khatami	0.0832728
Gadhafi	0.0831644
Cardoso	0.0829568
"de Charette"	0.0828068
Sharon	0.0826711
Sihanouk	0.082196
Ahtisaari	0.0819251
Rua	0.0816937
Supachai	0.0814767
Narayanan	0.081354
Bouteflika	0.0812679
Khalid	0.0807311
Mahuad	0.080643
Mugabe	0.0806
Scalfaro	0.0805989
Jospin	0.0805122
Kinkel	0.0804819
"Pandeli Majko"	0.0804577
Bildt	0.0804483
Blair	0.0801325
Ouattara	0.0800109
Fino	0.0799143
Ranariddh	0.0797632
"Yevgeny Primakov"	0.0797087
Bizimungu	0.0795452
Maskhadov	0.0792652
Indyk	0.0791797
Chubais	0.0791227
Ekeus	0.0791
Cubas	0.0790954
Kaunda	0.0789928
Schroeder	0.0788524
"Eisuke Sakakibara"	0.0788168
Shevardnadze	0.0786997
Goh	0.0786114
Kohl	0.0784739
Granic	0.0784164
Fujimori	0.0783548
Aziz	0.0782648
Wolfensohn	0.0780749
Cem	0.077891
"Laurent Fabius"	0.0775054
Rau	0.0774158
Preval	0.0773315
Mallon	0.0772163
"Sergei Kiriyenko"	0.0770921
Shaath	0.0768481
"Ehud Barak"	0.0767945
Estrada	0.0767183
"Anwar Ibrahim"	0.0766714
Jansher	0.0765433
Clerides	0.0765156
Jovanovic	0.0764706
Frei	0.0763605
Shahak	0.0763252
"Bill Skate"	0.0761926
Koroma	0.0761577
Izetbegovic	0.076103
Spyridon	0.0759636
Primakov	0.0759082
Jayalalitha	0.0754053
Chissano	0.0754006
Juppe	0.0753125
Claes	0.0752659
"Jerzy Buzek"	0.0752435
Kambanda	0.0752129
))
(chauffeur (desc 6879.29) (sims
housekeeper	0.10816
maid	0.107065
bodyguard	0.101131
nanny	0.0940565
"traffic cop"	0.0829458
busboy	0.0818447
sitter	0.0783363
gardener	0.0778241
"bus driver"	0.0739467
governess	0.0726162
servant	0.0704559
paralegal	0.0696054
babysitter	0.0695498
publicist	0.0651565
attendant	0.0644969
"house painter"	0.0640769
waiter	0.0636318
"social worker"	0.0628713
seamstress	0.0626733
bookkeeper	0.0625614
"truck driver"	0.0620047
tutor	0.0619614
chef	0.061958
masseur	0.0608239
translator	0.0603288
"private investigator"	0.06
accountant	0.0594839
valet	0.0593473
janitor	0.0589325
caretaker	0.0588683
handyman	0.0585059
bellhop	0.0584648
bartender	0.0583369
"front man"	0.0582948
receptionist	0.0582567
firefighter	0.0579676
waitress	0.0578655
clerk	0.0575845
stuntman	0.0573024
"foster mother"	0.0567832
brother-in-law	0.0557958
copywriter	0.0551861
interpreter	0.0550198
therapist	0.0549152
hostess	0.0547644
"altar boy"	0.0547436
teller	0.054485
caregiver	0.0544189
dishwasher	0.0534458
chaperone	0.0534127
"disc jockey"	0.0533954
cashier	0.0533718
electrician	0.0533433
photographer	0.0529637
"guardian angel"	0.0528937
messenger	0.0526749
"shop assistant"	0.0523755
policeman	0.0521517
"security guard"	0.051927
"computer programmer"	0.0518587
counselor	0.05173
cameraman	0.0516464
stockbroker	0.0514431
corporal	0.0512039
bricklayer	0.0511005
handler	0.0507289
bouncer	0.0506562
prostitute	0.0502549
DVD-ROM	0.049604
custodian	0.0494307
fiance	0.0492342
daughter-in-law	0.0492235
helper	0.0491822
welder	0.0485449
mechanic	0.0485266
"fellow worker"	0.0485179
"great grandmother"	0.0483181
paramour	0.0482681
informer	0.0480303
weatherman	0.0478727
stylist	0.047826
"maintenance man"	0.0471514
"first cousin"	0.0471025
informant	0.0465262
stepdaughter	0.0463488
"investment adviser"	0.0462347
"staff member"	0.0462022
homemaker	0.0460951
sister-in-law	0.046036
"stage manager"	0.0458463
sycophant	0.0454658
"blind man"	0.045377
optometrist	0.0453232
"investment banker"	0.0452938
courier	0.0452829
"prison guard"	0.0452732
enforcer	0.0451485
apprentice	0.0451425
housemaid	0.0451028
"computer expert"	0.0450343
hauler	0.0450239
"private detective"	0.0450229
"real estate agent"	0.0449125
soulmate	0.0447035
"management consultant"	0.0444833
hairstylist	0.0443743
matchmaker	0.0443377
"fashion model"	0.0442468
groundskeeper	0.0439998
attache	0.0438578
sportswriter	0.0437311
psychologist	0.0436653
Meston	0.0436412
carpenter	0.0435779
"Navy Seal"	0.0435346
guidepost	0.0435038
mistress	0.0434387
Bedell	0.0434323
"math teacher"	0.0433768
"foster parent"	0.0431591
treasurer	0.0431496
midwife	0.0430963
"interior designer"	0.0430289
"safety valve"	0.0429995
stewardess	0.0429637
breadwinner	0.0429444
fisherman	0.0429133
"glove compartment"	0.042906
"sounding board"	0.0427921
shipmate	0.0427298
Imam	0.0426672
housemate	0.0426365
fiancee	0.0425745
stripper	0.0425062
motorcade	0.0424783
Mullins	0.0424167
spotter	0.0423746
"secret agent"	0.0423223
"day laborer"	0.0422949
landscaper	0.0422538
schoolteacher	0.0421646
caddie	0.0419849
psychic	0.0418514
understudy	0.0417766
niece	0.0417013
acquaintance	0.0416753
"software engineer"	0.0415403
"leading lady"	0.0415064
"partner in crime"	0.0414827
bodybuilder	0.0414165
"mechanical engineer"	0.0412537
fireman	0.0411902
temp	0.0410428
newsman	0.040869
"good Samaritan"	0.040733
intern	0.0407245
troubleshooter	0.0406499
"sales manager"	0.0406086
"family doctor"	0.0405021
occupant	0.0404333
bystander	0.0402268
"George Speight"	0.0401125
"police captain"	0.0401044
plumber	0.0400071
))
("Chauncey Billups" (desc 1833.65) (sims
"Dana Barros"	0.214828
"Kenny Anderson"	0.214477
"Paul Pierce"	0.187004
"Derek Anderson"	0.173091
"Tariq Abdul-Wahad"	0.167198
"Antonio McDyess"	0.161766
"Raef LaFrentz"	0.155291
"Zydrunas Ilgauskas"	0.139591
"Avery Johnson"	0.1339
"Sherman Douglas"	0.130871
"Ron Mercer"	0.125582
"Terrell Brandon"	0.1186
"Brad Miller"	0.116413
"Nick Van Exel"	0.115752
"Sam Cassell"	0.114912
"Kerry Kittles"	0.110443
"Brevin Knight"	0.107458
"Tyronn Lue"	0.106781
"Michele Timms"	0.106257
"Nick Anderson"	0.105886
"Antonio Daniels"	0.104974
"Darrell Armstrong"	0.104949
"David Wesley"	0.10461
"Cuttino Mobley"	0.104369
"Mike Bibby"	0.104152
"Antoine Walker"	0.103335
"Chris Gatling"	0.102854
"Jason Terry"	0.102432
"Brandon Granville"	0.102005
"Matt Santangelo"	0.101328
"Stephon Marbury"	0.100805
"Shammond Williams"	0.0994828
"Anthony Johnson"	0.0993158
"Darrick Martin"	0.0979699
McCloud	0.0979468
"Wayne Turner"	0.0952682
"Robert Pack"	0.095195
"Steve Nash"	0.0950843
"Hersey Hawkins"	0.0921963
"George McCloud"	0.0921063
"Tony Battie"	0.0912213
"Malik Sealy"	0.0898278
"Eric Murdock"	0.0891984
"Eddie Jones"	0.0879031
Battie	0.0860165
"Doug Christie"	0.0853973
"Ryan Bailey"	0.0853087
"Larry Hughes"	0.0852446
"Elden Campbell"	0.0838507
"Derek Fisher"	0.082815
"Andre Miller"	0.0826628
"Ukari Figgs"	0.0826366
"Travis Best"	0.0818734
"Vitaly Potapenko"	0.0814669
Fortson	0.0802343
"Greg Anthony"	0.0802009
"Dawn Staley"	0.0798738
"Voshon Lenard"	0.0796186
"Manny Fernandez"	0.0793377
"Damon Stoudamire"	0.0785173
"Scoonie Penn"	0.0782546
"Flozell Adams"	0.0779036
"Eric Snow"	0.077028
"Ray Allen"	0.076758
"Bryce Drew"	0.0762573
"Bimbo Coles"	0.0761322
"Courtney Alexander"	0.0757595
"Jason Williams"	0.0754255
"Brent Price"	0.0747483
"Cliff Robinson"	0.0746928
"B.J Armstrong"	0.0745253
"Eddie House"	0.0744153
"Teresa Weatherspoon"	0.0741385
"Bonzi Wells"	0.073651
"Derek Harper"	0.0723257
"Mitch Richmond"	0.0722947
"Mookie Blaylock"	0.0722606
"Kevin Johnson"	0.0721077
"Jeff Trepagnier"	0.0719325
"Isaiah Rider"	0.0717995
"Shareef Abdur-Rahim"	0.0716689
"Erick Barkley"	0.071372
"Kendall Gill"	0.0713404
"Christian Laettner"	0.0704984
"Earl Watson"	0.070108
"Kim Perrot"	0.0699334
"Tim Hardaway"	0.0681867
"Jason Kidd"	0.0679392
"Tony Hutson"	0.0679078
"Hubert Davis"	0.0671451
"Steve Francis"	0.0670431
"Mario Elie"	0.0670302
"Mark Williams"	0.0668702
"Baron Davis"	0.0663626
"Lamond Murray"	0.0662988
"Joe Dumars"	0.0655498
Briere	0.065369
"Michael Redd"	0.0651889
"Howard Eisley"	0.064998
"Dan Majerle"	0.0646145
"Tracy McGrady"	0.0642567
"Grant Long"	0.0641553
"Khalid El-Amin"	0.0640101
"Terry Porter"	0.0639964
"Heath Irwin"	0.0639528
"Randy Brown"	0.0637947
"Mateen Cleaves"	0.0637738
"Solomon Page"	0.0636817
"Sam Mack"	0.0634999
"Eric Piatkowski"	0.0634517
"Danny Fortson"	0.063396
"Bob Sura"	0.0633814
"Kris Clack"	0.0632034
"Mark Jackson"	0.0631222
"Rex Chapman"	0.0627065
"Larry Allen"	0.0626011
"Tim Thomas"	0.0618359
"Trajan Langdon"	0.0615921
"Marcus Camby"	0.0610368
"Michael Dickerson"	0.0610078
"Ed Gray"	0.0609998
"Dion Glover"	0.0607319
"Jamal Mashburn"	0.0604924
Dellucci	0.0604631
"Lou Merloni"	0.060164
"Chris Childs"	0.0601252
"Shandon Anderson"	0.0600547
"Rod Strickland"	0.0600415
"Jalen Rose"	0.0597517
"Kobe Bryant"	0.0595208
"Billy Knight"	0.0592964
"Gene Williams"	0.0589957
"Charlie Ward"	0.0589675
"Joe Kleine"	0.0584573
"Nikki McCray"	0.0583609
"Matt Maloney"	0.0582364
STALEY	0.0579298
"Rick Pitino"	0.0577509
Croshere	0.0576598
"John Stockton"	0.0572863
Middlesex	0.0569161
"Gary Trent"	0.0565744
"Bobby Phills"	0.0564473
"Ricky Moore"	0.0563063
"LaPhonso Ellis"	0.0559376
"Anfernee Hardaway"	0.0558238
"Jimmy Oliver"	0.0557741
"Brent Barry"	0.0556713
"Paul LoDuca"	0.0556465
"Rico Hines"	0.0550986
Timms	0.0547953
"Brian Griese"	0.0545463
"Rashard Lewis"	0.0541473
"Gary Payton"	0.0536374
Mercer	0.053634
"Toby Bailey"	0.0532768
"Allen Iverson"	0.0530547
Scoonie	0.0530541
"Vernon Maxwell"	0.0529967
"Grant Hill"	0.0529646
"Nate Newton"	0.0529139
"J.D Drew"	0.0525942
"Glen Rice"	0.052322
"Jeff Huson"	0.0523177
"Leon Smith"	0.0523016
"Ken Kocher"	0.0521605
"Jaren Jackson"	0.0520511
Szczerbiak	0.0518677
"Chris Mullin"	0.0518214
"Dennis Scott"	0.0514925
"Lamar Odom"	0.0512179
"Michael Finley"	0.0511591
"Ray Young"	0.0508244
"Rob Tallas"	0.0506075
Garnett	0.0505194
"William Avery"	0.0503132
"Ed Yarnall"	0.0502372
"three pitchers"	0.0501602
Kidd	0.0500652
"Manny Alexander"	0.0498829
Daigle	0.049851
McDyess	0.0497524
"Norm Maracle"	0.049736
"Bill Ranford"	0.0496216
"Ricky Williams"	0.0495864
"Einar Diaz"	0.0494143
"John Grahame"	0.0492486
"Otis Thorpe"	0.0491399
"Brad Penny"	0.048967
Grammer	0.0487494
"Bruce Matthews"	0.0487284
"Manny Legace"	0.0486838
"Penny Hardaway"	0.0485477
"Joe Smith"	0.0484977
"Dave Andreychuk"	0.0483983
"John Starks"	0.0482169
QBs	0.0481625
"Bryan Berard"	0.0480608
"Jim Jackson"	0.0478498
"Van Exel"	0.0474975
))
(Chautauqua (desc 935.561) (sims
Echols	0.0784665
"Delta @"	0.0732222
SCLC	0.0728514
Ringling	0.0719849
Zhangbei	0.0675578
"Promise Keepers"	0.0655242
Gwinnett	0.0618488
"Special Olympics"	0.0611389
eugenics	0.0609392
Rockdale	0.0608828
"large white"	0.0598057
"Ask Jeeves"	0.0588058
Scientology	0.0586236
Forsyth	0.0585707
Broward	0.0583221
kibbutz	0.0578647
Pickens	0.0573464
GAAF	0.0572478
Barnum	0.0570484
Mendocino	0.0553191
Fulton	0.0552797
"New Frontier"	0.0544391
revivalist	0.0544027
southland	0.0539103
Metreon	0.0538846
CSE	0.0534791
Downstate	0.0533576
LRA	0.0532726
Mumford	0.052898
nunnery	0.0528071
Passaic	0.0525522
WebMD	0.0522622
telemedicine	0.0516884
"Vietnam Airlines"	0.0514205
nuts-and-bolts	0.0512527
Niagara	0.0504819
"Lake Placid"	0.0502969
McDuffie	0.0502285
"golden rule"	0.0501798
Yates	0.0501024
Schiffer	0.0500578
Cormier	0.0498845
Farber	0.0494793
Middlesex	0.0494394
POLK	0.0493018
Bauhaus	0.0491714
Tanglewood	0.0489609
Contra	0.0486556
Thirty-five	0.048598
Cayuga	0.048595
"Weight Watchers"	0.048452
fatherhood	0.048318
Leavenworth	0.0483036
"bird of prey"	0.0480332
Bergen	0.047961
"lubricating oil"	0.0478461
Saratoga	0.0477087
Spoleto	0.0474493
McLeod	0.0473354
ferryboat	0.0472431
VENATOR	0.0472305
"Fox TV"	0.0471409
McGowan	0.0470673
Monmouth	0.0468868
"Lethal Weapon"	0.0468012
emulation	0.0467925
iVillage	0.0465081
Berard	0.0463589
Soma	0.0463206
"Young America"	0.0459946
Lehigh	0.0459197
"college level"	0.0456392
Lagerfeld	0.0456277
Chatham	0.0455239
Yorktown	0.0449309
"Pax TV"	0.0447795
Reel.com	0.044685
Bedell	0.0446294
"Olympic Club"	0.0446071
arboretum	0.0445592
YPF	0.0443642
Transmeta	0.0442276
leeson	0.0442105
"another nine"	0.0441694
Sepracor	0.0441581
Mateo	0.0441159
Gdansk	0.0440801
Tanaka	0.0439497
Biman	0.0439155
Shangri-la	0.0438285
"Next Generation"	0.0438163
Io	0.0438013
MLS	0.0437586
Yaddo	0.0435667
"Riverside Church"	0.043471
"Bergen County"	0.0434477
Huffington	0.043437
Suffolk	0.0433748
Flockhart	0.0431925
Thurber	0.0431703
Gloucester	0.0431353
Zapatista	0.0427274
UTA	0.0427225
SAFY	0.0425492
ZDTV	0.0423867
Monterey	0.0423057
"Around @@"	0.0422735
rectification	0.0422224
Kelso	0.041809
"National Research Council"	0.0416959
"R Block"	0.0416469
"Texas Motor Speedway"	0.0414984
Fedex	0.0414491
"arms industry"	0.0412781
Thirty-two	0.0409478
Northampton	0.0408228
"New Covenant"	0.0408
"Adrian Murrell"	0.0407543
Peyton	0.0406465
Orleans	0.0403998
"Met Life"	0.0402765
"about one-fourth"	0.0402443
"Orient House"	0.0402396
CPLP	0.040189
iss	0.0401796
Tables	0.0401062
Hirst	0.0400689
Zhongguancun	0.0400413
))
(chauvinism (desc 3302.38) (sims
sexism	0.10721
"power politics"	0.0933628
colonialism	0.0861427
racism	0.0842035
xenophobia	0.0826394
nationalism	0.0817237
bigotry	0.0781427
militarism	0.0772926
splittism	0.0770336
imperialism	0.0740919
extremism	0.073602
hegemonism	0.0717136
separatism	0.0698918
intolerance	0.0687981
Republicanism	0.0679907
prejudice	0.0654135
hatred	0.0632961
oppression	0.0625697
anti-Semitism	0.0623605
fundamentalism	0.0612295
jingoism	0.0611981
protectionism	0.059966
radicalism	0.0595893
favoritism	0.0572435
brutality	0.0568507
persecution	0.056068
"inferiority complex"	0.0559427
repression	0.054737
segregation	0.0545902
insularity	0.0543025
hegemony	0.053593
victimization	0.0528394
inequality	0.0523044
polarization	0.0522594
orthodoxy	0.0514177
Fascism	0.0511525
liberalism	0.0510206
silliness	0.0508704
homophobia	0.0507388
arrogance	0.0501214
injustice	0.0500849
exclusivity	0.0494004
opportunism	0.0492455
greed	0.0488902
infidel	0.0487549
bravado	0.0486106
"class warfare"	0.0475087
destabilization	0.0473186
maltreatment	0.0472614
overkill	0.047208
Elitism	0.0469757
tribalism	0.0469658
wickedness	0.0466479
fanaticism	0.0466006
gentility	0.0465713
amateurism	0.0465247
expansionism	0.0463273
"double standard"	0.0462041
censorship	0.0460731
"wishful thinking"	0.0459699
conservatism	0.0458574
subversion	0.0457306
populism	0.0456187
"Taiwan Independence"	0.0442809
antagonism	0.0437263
aristocracy	0.0435942
despotism	0.0435205
machismo	0.0434919
hysteria	0.0430793
demagoguery	0.0429406
hooliganism	0.0425252
hubris	0.0422924
selfishness	0.0421117
womanhood	0.0420643
isolationism	0.0419245
dichotomy	0.0417699
backwardness	0.0413972
Shiva	0.0411713
self-destruction	0.0409267
"psychological warfare"	0.0404316
traditionalism	0.0403515
mistreatment	0.0403264
thuggery	0.0401105
authoritarianism	0.0400376
calisthenics	0.0400362
))
(chauvinist (desc 1254.17) (sims
"saber rattling"	0.0763381
take-no-prisoners	0.0754339
Brinkley	0.0612352
techies	0.0574067
Shiva	0.0565785
segregationist	0.0508941
Islamist	0.0502951
proverb	0.0494017
spikers	0.0488545
nitwit	0.0477904
streetwise	0.0477223
Vice-Foreign	0.0469353
cager	0.0467677
"holy man"	0.0462879
urchin	0.0457444
skiiers	0.0455078
Luddite	0.0445639
bourgeoisie	0.0438079
stargazer	0.0429058
zodiac	0.0427908
op-ed	0.0426072
oceanographer	0.0420441
protectionist	0.0417782
Anglos	0.0413889
pan-Arab	0.0400755
))
(Chavalit (desc 3460.53) (sims
Banharn	0.289981
"Chavalit Yongchaiyudh"	0.275275
Chuan	0.252833
Velayati	0.248942
Deuba	0.245399
Guterres	0.240731
Ikeda	0.236819
Vasile	0.230299
"de Charette"	0.229007
Gujral	0.227179
Rifkind	0.225123
Stoyanov	0.224328
Phieu	0.222289
Lipponen	0.219561
Hashimoto	0.217931
Hasina	0.216477
Granic	0.214522
Nazarbayev	0.213173
Nujoma	0.213148
Constantinescu	0.210681
Koirala	0.21001
Menem	0.203384
Gowda	0.201735
"Than Shwe"	0.20145
Erbakan	0.200127
Aznar	0.199857
Saleh	0.196772
Hariri	0.195557
Santer	0.195004
Kok	0.194176
"Prime Minister Banharn Silpa-Archa"	0.192919
Ecevit	0.192678
Dini	0.191516
Akayev	0.191479
Goh	0.18856
Cem	0.187056
Mkapa	0.186335
Chissano	0.181653
Diouf	0.181364
Dehaene	0.17996
Qiao	0.179384
"Chuan Leekpai"	0.179141
Shipley	0.178475
Majko	0.1776
Frei	0.176604
Surin	0.176481
Vollebaek	0.17638
Samper	0.176056
Kasoulides	0.17589
Kabariti	0.175799
Kuchma	0.175591
Luong	0.174852
Vajpayee	0.174745
Pustovoitenko	0.173667
Ruehe	0.173592
Muluzi	0.173588
Bedie	0.172822
Karimov	0.172642
Komura	0.172401
Wolfensohn	0.172263
Prodi	0.171962
Zhirinovsky	0.171919
"Pandeli Majko"	0.171597
Chretien	0.171568
Yadav	0.17055
Jayakumar	0.17044
Nzo	0.170029
Shevardnadze	0.169934
Pangalos	0.167744
Scharping	0.167021
Wahid	0.167006
Azad	0.166456
Moratinos	0.166282
Rabbani	0.165868
Niyazov	0.165308
Orban	0.164975
"Sher Bahadur Deuba"	0.164675
Yilmaz	0.164265
Camdessus	0.163714
Jospin	0.163537
Abdel-Meguid	0.1634
Ahtisaari	0.163393
Kharrazi	0.163309
Majali	0.162803
Thapa	0.162701
Ahern	0.162417
Khaddam	0.162215
Ganzouri	0.161325
Simitis	0.160784
Chiluba	0.160624
Iliescu	0.159604
Stepashin	0.159265
Chaudhry	0.158879
Meles	0.158406
Hrawi	0.157646
Ciampi	0.157444
"Bashkim Fino"	0.157265
Rakhmonov	0.156972
Tsang	0.156847
Mori	0.156122
Rodionov	0.155933
Khai	0.155907
Museveni	0.155837
Ikimi	0.155703
Zou	0.154442
Siazon	0.15342
Zeroual	0.153299
"Mesut Yilmaz"	0.153226
"Maung Aye"	0.152915
D'Alema	0.152816
Demirel	0.152467
Chand	0.15226
Estrada	0.151597
Bhutto	0.150667
Schuessel	0.150575
Sampaio	0.150222
Ouattara	0.150041
Holl	0.14973
Kostov	0.149342
Hu	0.149145
Meguid	0.148549
Axworthy	0.148139
Primakov	0.148096
Sergeyev	0.148001
Obasanjo	0.147701
Clerides	0.147584
Narayanan	0.147514
"De Soto"	0.147324
Bolger	0.147296
Klima	0.147058
Habibie	0.147027
Aventajado	0.146892
Kiriyenko	0.146768
Peres	0.146728
Solana	0.146625
Chirac	0.14646
Scalfaro	0.146253
Ogata	0.146194
Tung	0.146018
"Lee Hsien Loong"	0.145851
Jovanovic	0.145783
Kono	0.145568
Obuchi	0.145529
Brittan	0.145488
Mordechai	0.145373
Kwasniewski	0.145071
Rafsanjani	0.144866
Gaddafi	0.144681
Nateq-Nouri	0.144656
Klestil	0.14452
Leghari	0.1442
Buzek	0.14409
Lukashenko	0.143759
Stroyev	0.14259
"Romano Prodi"	0.1424
"Krishna Prasad Bhattarai"	0.141946
Cardoso	0.141682
Qian	0.141174
Fino	0.140809
Juppe	0.140803
Alatas	0.140753
"Helen Clark"	0.140738
Pickering	0.140303
Shareh	0.139845
Insulza	0.139346
"Li Peng"	0.139316
Aleman	0.139249
Downer	0.138889
Tarrin	0.138712
Bhattarai	0.138661
Advani	0.138273
Herzog	0.138212
Sharif	0.138052
Dae-jung	0.137993
Mbeki	0.137778
Moi	0.137642
Aziz	0.137603
Nemtsov	0.137525
Kumaratunga	0.137441
Bouteflika	0.137385
Papandreou	0.137155
Bondevik	0.136993
"Keizo Obuchi"	0.136978
Mandelson	0.136966
Prueher	0.136878
Benazir	0.136826
Abubakar	0.136721
"Yoshiro Mori"	0.136555
Murayama	0.136433
Alarcon	0.136362
Mahathir	0.136302
Brundtland	0.136059
Kyprianou	0.135964
Bashir	0.135878
Zedillo	0.135772
Hamad	0.135766
Ghali	0.134971
"Necmettin Erbakan"	0.134883
Musharraf	0.134528
Brahimi	0.134243
Seleznyov	0.134204
Sumaye	0.133972
Koo	0.133851
Moussa	0.133846
Weizman	0.133622
Mandela	0.132967
Hekmatyar	0.132643
Chi	0.132624
Buyoya	0.132507
Rua	0.13247
Eizenstat	0.132437
"Atal Behari Vajpayee"	0.132217
Hoss	0.13212
"Benazir Bhutto"	0.131963
Ranariddh	0.131836
Kabbah	0.131753
Rawabdeh	0.131676
Masire	0.13161
"Viktor Orban"	0.131262
Soares	0.130812
Ruggiero	0.130762
Zhu	0.130602
Zuma	0.13059
Indyk	0.130146
Supachai	0.13014
Khatami	0.129955
Bulatovic	0.129708
Izetbegovic	0.129648
Vedrine	0.129618
"Ung Huot"	0.129261
Waigel	0.128914
Klaus	0.128856
Nano	0.128757
Ivanov	0.128516
Kinkel	0.128285
"Ryutaro Hashimoto"	0.127896
Tian	0.127517
"King Abdullah II"	0.127488
"Bill Skate"	0.127274
"Atal Bihari Vajpayee"	0.127249
"Chief Executive Tung Chee-hwa"	0.127018
Fischer	0.126939
Lazarenko	0.126766
"Mikhail Kasyanov"	0.126439
Beilin	0.126316
Bildt	0.125995
Tarawneh	0.125595
"Sergei Kiriyenko"	0.125595
"Deve Gowda"	0.125393
wen	0.124835
Sharansky	0.124485
Dodik	0.12446
"Pascoal Mocumbi"	0.124312
"Goran Persson"	0.124149
"President Lee Teng-hui"	0.124087
Juncker	0.124063
"Jose Maria Aznar"	0.123968
Denktash	0.123936
Gurirab	0.1239
Muoi	0.123829
Buthelezi	0.123654
"Hun Sen"	0.123415
al-Sahaf	0.123232
Luo	0.122978
Fu	0.122805
"Ivan Kostov"	0.122759
Lahoud	0.122633
Daley	0.122485
Sato	0.122369
Blatter	0.122255
Mokhehle	0.121872
Jia	0.121783
Mubarak	0.121625
Tudjman	0.121566
Schroeder	0.121538
"Yevgeny Primakov"	0.121441
"Inder Kumar Gujral"	0.12141
Sahnoun	0.121353
Soeharto	0.12124
Bizimungu	0.121222
Ramos	0.120962
"Jerzy Buzek"	0.1205
"Wlodzimierz Cimoszewicz"	0.120403
Singson	0.120189
Rong	0.12008
Ciller	0.119995
"King Sihanouk"	0.119834
"Bulent Ecevit"	0.119742
Shahak	0.11971
"Lee Kuan Yew"	0.119532
Kagame	0.119222
Xanana	0.119125
Mugabe	0.11892
"Sergei Stepashin"	0.118761
Boueiz	0.11866
Grachev	0.11861
Blair	0.11847
"Mikulas Dzurinda"	0.118447
"John Major"	0.118213
Ben-Ami	0.1182
Djukanovic	0.118041
Kissinger	0.118003
"Fatos Nano"	0.117969
Rao	0.117338
Modise	0.117281
"Frederick Sumaye"	0.117217
"Amnuay Virawan"	0.116975
"Paul Keating"	0.116917
"Vo Van Kiet"	0.116866
"John Bruton"	0.116786
Bucaram	0.116151
Glickman	0.115925
Ekeus	0.115925
Portillo	0.115907
Aliev	0.11556
"Rafik Hariri"	0.115495
Fujimori	0.115288
Persson	0.115225
Chung	0.115144
"Wim Kok"	0.11497
"Tim Fischer"	0.114772
"President Kim Dae-jung"	0.114352
"Lokendra Bahadur Chand"	0.114352
Plavsic	0.114346
Malu	0.114143
Rasmussen	0.114092
Ingraham	0.114007
Aliyev	0.113986
Sihanouk	0.11395
Wu	0.11392
Barak	0.113683
Garang	0.113532
Talbott	0.11346
Pastrana	0.113283
Juma	0.112791
Koehler	0.112375
Abdullah	0.112316
"Paavo Lipponen"	0.112315
"Noboru Takeshita"	0.112305
Seselj	0.112187
Kaunda	0.111959
"Kiichi Miyazawa"	0.111815
"Victor Chernomyrdin"	0.111783
"Meles Zenawi"	0.111599
Zeman	0.111493
"Phan Van Khai"	0.111407
"Dos Santos"	0.11132
al-Sahhaf	0.111292
"Binyamin Netanyahu"	0.111222
"Goh Chok Tong"	0.110757
Rawlings	0.110727
"Zhu Rongji"	0.110611
"Yossi Sarid"	0.110495
"Tariq Aziz"	0.110377
Chernomyrdin	0.110329
Harmoko	0.110257
Iglesias	0.110209
Kennard	0.11019
Kohl	0.110179
"Tansu Ciller"	0.110073
"Sheikh Hasina"	0.110049
Maskhadov	0.109903
Hybl	0.109894
Amato	0.109843
Sarid	0.109506
Putin	0.109328
Trimble	0.109273
Zyuganov	0.109084
Kasyanov	0.108774
Shaath	0.108773
"Jean Chretien"	0.108531
"Abidine Ben Ali"	0.108476
Berisha	0.108381
Mikhailov	0.108325
Jiang	0.108191
Deri	0.108165
Sanguinetti	0.108082
Wei	0.107792
"Benjamin Netanyahu"	0.107748
Manley	0.107697
"John Howard"	0.107612
Boutros-Ghali	0.107608
Berri	0.107558
Xiong	0.107394
Vieira	0.107365
Yeltsin	0.107224
"Vladimir Meciar"	0.107145
"John Prescott"	0.107006
Sharon	0.106954
"Massimo D'Alema"	0.10694
Netanyahu	0.106877
"H.D Deve Gowda"	0.10682
"Secretary General Esmat Abdel-Meguid"	0.106648
Khamenei	0.106642
"Defense William Cohen"	0.106229
Soyinka	0.106093
McKinnon	0.106026
"Alexander Shokhin"	0.105975
"Natan Sharansky"	0.105918
Kromah	0.105917
Havel	0.105834
MIYAZAWA	0.105719
Zeng	0.10563
"John Paul"	0.10555
Poplasen	0.105516
Mahuad	0.105455
"Khaleda Zia"	0.10537
"Bertie Ahern"	0.105321
Guei	0.105142
Havelange	0.105032
"De Klerk"	0.104951
"Nawaz Sharif"	0.104825
Chubais	0.10481
Verney	0.104641
"Costas Simitis"	0.104549
"Antonio Guterres"	0.104432
Arbour	0.104205
Mohajerani	0.104135
Barshefsky	0.104081
al-Bashir	0.103996
Gadhafi	0.103969
"Ehud Barak"	0.103967
Bruton	0.103561
emir	0.103487
"Lionel Jospin"	0.103425
Nasrallah	0.103367
Kesri	0.103157
"I.K Gujral"	0.102985
Marulanda	0.102809
Rau	0.102711
"Boris Nemtsov"	0.102672
"Edmund Ho Hau Wah"	0.102672
"Khin Nyunt"	0.102496
Fernandes	0.102475
Ivester	0.102372
Rais	0.102341
Milutinovic	0.102198
"Milos Zeman"	0.102147
Djindjic	0.102032
Husseini	0.101964
Prescott	0.101931
Kim	0.101705
Katsav	0.101545
Annan	0.101439
Li	0.101409
Beye	0.100668
Rossello	0.100623
"Mahathir Mohamad"	0.100581
Rugova	0.100538
"Tung Chee Hwa"	0.1005
"Sheikh Saad"	0.100266
Duisenberg	0.10025
al-Khatib	0.100222
Yavlinsky	0.100213
Meissner	0.100159
al-Hariri	0.10013
Severino	0.100098
Patasse	0.100058
LeBlanc	0.100037
))
("Chavalit Yongchaiyudh" (desc 4691.49) (sims
"Chuan Leekpai"	0.327521
Chavalit	0.275275
"Deve Gowda"	0.262743
"Sher Bahadur Deuba"	0.260825
"Prime Minister Banharn Silpa-Archa"	0.260014
"H.D Deve Gowda"	0.253042
"Necmettin Erbakan"	0.247384
"Phan Van Khai"	0.236941
"Romano Prodi"	0.23422
"Benazir Bhutto"	0.231216
"Tansu Ciller"	0.227518
"Jean Chretien"	0.225925
"Atal Behari Vajpayee"	0.22443
"Mesut Yilmaz"	0.224384
Banharn	0.223865
"Inder Kumar Gujral"	0.221402
"Goh Chok Tong"	0.218264
"Jose Maria Aznar"	0.216572
"Bashkim Fino"	0.216553
"Lokendra Bahadur Chand"	0.21655
"Frederick Sumaye"	0.215095
"Paul Keating"	0.214081
"Ryutaro Hashimoto"	0.213312
"Milos Zeman"	0.212235
"Sheikh Hasina"	0.208819
"John Major"	0.207151
"Tomiichi Murayama"	0.206402
"Mikulas Dzurinda"	0.206214
"Than Shwe"	0.205603
"Keizo Obuchi"	0.205558
"Costas Simitis"	0.203349
"Rafik Hariri"	0.203279
"Jenny Shipley"	0.202934
"Alain Juppe"	0.20286
Koirala	0.20187
"Vaclav Klaus"	0.200498
"Wlodzimierz Cimoszewicz"	0.20031
"Pascoal Mocumbi"	0.19886
"Bulent Ecevit"	0.198265
"Pandeli Majko"	0.198117
Dehaene	0.196711
"John Howard"	0.196281
"Fatos Nano"	0.195814
"Salim Hoss"	0.194185
"Meles Zenawi"	0.192807
"Atal Bihari Vajpayee"	0.192574
"Lamberto Dini"	0.19032
"Amnuay Virawan"	0.189389
el-Ganzouri	0.188324
"Girija Prasad Koirala"	0.186801
"P.V Narasimha Rao"	0.186525
Chuan	0.185902
Lipponen	0.184837
"Lee Hsien Loong"	0.184462
"Khaleda Zia"	0.183208
Deuba	0.182123
"Mahathir Mohamad"	0.179034
"Jerzy Buzek"	0.178085
"Tim Fischer"	0.177896
"William Perry"	0.177495
"Sergei Kiriyenko"	0.177248
"Vo Van Kiet"	0.176288
"John Prescott"	0.175659
"Goran Persson"	0.175468
"Antonio Guterres"	0.175271
"Natan Sharansky"	0.175121
"Lionel Jospin"	0.17498
Kabariti	0.17474
"Abdul Karim Kabariti"	0.174655
"Shimon Peres"	0.174507
"Krishna Prasad Bhattarai"	0.174471
"Yoshiro Mori"	0.173561
"Yevgeny Primakov"	0.17328
"Nawaz Sharif"	0.17288
"Begum Khaleda Zia"	0.172852
"Helen Clark"	0.171829
Chand	0.171513
"Sergei Stepashin"	0.170889
"Atef Obeid"	0.16929
Hasina	0.168442
"Ung Huot"	0.168348
"Radu Vasile"	0.167104
"Khin Nyunt"	0.165822
"Binyamin Netanyahu"	0.165345
"Yossi Sarid"	0.16533
"Victor Chernomyrdin"	0.164776
"Igor Sergeyev"	0.164511
"Vladimir Meciar"	0.164008
"John Bruton"	0.163831
Gujral	0.163163
"Yuri Maslyukov"	0.162765
"Viktor Orban"	0.162227
"Pakalitha Mosisili"	0.161625
"Jordanian King Abdullah Bin Hussein"	0.161565
"Bertie Ahern"	0.161375
"Valery Pustovoitenko"	0.161286
"Ivan Kostov"	0.160962
"Ariel Sharon"	0.159543
Erbakan	0.159255
"Bill Skate"	0.159229
"Viktor Chernomyrdin"	0.159066
"I.K Gujral"	0.157623
Ecevit	0.157535
"George Robertson"	0.15741
"Kim Yong Nam"	0.157326
Stoyanov	0.156841
"Prime Minister Kamal El-Ganzouri"	0.156547
Hariri	0.156254
Hashimoto	0.156102
"Gulbuddin Hekmatyar"	0.154142
"Ehud Barak"	0.153997
Vasile	0.152505
Majali	0.152292
"President Kim Young-sam"	0.152031
Jayakumar	0.151646
"Wim Kok"	0.150212
"Fayez Tarawneh"	0.150211
"Hun Sen"	0.149862
"Mikhail Kasyanov"	0.148969
Ganzouri	0.147498
"Boris Nemtsov"	0.146505
"de Charette"	0.146342
"Vuk Draskovic"	0.146283
"Li Peng"	0.146022
Aznar	0.145787
al-Hariri	0.145443
Musharraf	0.145269
"Yitzhak Mordechai"	0.144521
Mkapa	0.144307
Pustovoitenko	0.143295
"Gro Harlem Brundtland"	0.143197
al-Sahhaf	0.142281
"President Kim Dae-jung"	0.141856
Abubakar	0.141428
"Alexander Shokhin"	0.14073
"Chi Haotian"	0.140427
al-Bashir	0.140369
Ikeda	0.139974
Phieu	0.139632
"Maung Aye"	0.139578
"Michael Heseltine"	0.139253
"Norodom Ranariddh"	0.139125
Kharrazi	0.139118
Meles	0.139073
Rua	0.139046
"Qian Qichen"	0.139005
Dini	0.137373
"Aslan Maskhadov"	0.137327
"Zhu Rongji"	0.136362
"Javier Solana"	0.136318
"Xanana Gusmao"	0.135943
"Paavo Lipponen"	0.135767
Axworthy	0.135551
"Abdullah Ahmad Badawi"	0.134915
"David Levy"	0.134902
"William Cohen"	0.134744
"Benjamin Netanyahu"	0.134524
Nazarbayev	0.134323
Khai	0.13401
"Abdul Salam Majali"	0.133944
"Lee Kuan Yew"	0.133516
Khaddam	0.133459
"Ieng Sary"	0.133449
Shevardnadze	0.132945
Chissano	0.132704
Simitis	0.132002
"Momir Bulatovic"	0.131748
Gowda	0.131265
Rifkind	0.130892
Nujoma	0.130812
"Megawati Soekarnoputri"	0.130729
Kuchma	0.130624
"Kamal Kharrazi"	0.130527
Velayati	0.130304
"Tony Blair"	0.130105
"Tariq Aziz"	0.129815
Wiranto	0.129716
"Laurent Kabila"	0.128943
Karimov	0.128921
Goh	0.128758
"Andreas Papandreou"	0.128645
al-Khatib	0.128443
Moi	0.12801
Muoi	0.127527
Chiluba	0.127025
D'Alema	0.126762
"Li Ruihuan"	0.12646
Frei	0.126315
Dae-jung	0.126302
"Supachai Panitchpakdi"	0.125668
Guterres	0.125667
"Abdulsalam Abubakar"	0.125581
"Oskar Lafontaine"	0.125472
Primakov	0.125428
"Joschka Fischer"	0.125126
"Felipe Gonzalez"	0.124753
"Paul Kagame"	0.124669
Prodi	0.124646
Al-Thani	0.124455
Alatas	0.124443
Jospin	0.124442
Clerides	0.124353
Vajpayee	0.124288
"Huang Ju"	0.124256
Obasanjo	0.123914
Yilmaz	0.123696
"Sani Abacha"	0.123621
"Shi Guangsheng"	0.12346
"Kiichi Miyazawa"	0.123219
al-Sahaf	0.123116
"Aryeh Deri"	0.122741
Chretien	0.122618
Scalfaro	0.12197
el-Bashir	0.121492
"Mahmoud Zouebi"	0.121409
"Yasser Arafat"	0.121307
"Noboru Takeshita"	0.121227
Komura	0.121188
Santer	0.12115
"Vojislav Seselj"	0.121139
Azad	0.121126
"Tareq Aziz"	0.121121
Klima	0.120991
Akayev	0.120968
"Qiao Shi"	0.12093
Bouteflika	0.12017
"Chief Executive Tung Chee-hwa"	0.119862
Kwasniewski	0.11897
"Ismail Cem"	0.118916
Luong	0.118807
Bildt	0.118415
"King Abdullah Bin Hussein"	0.118182
Saleh	0.118166
Granic	0.118122
"Anwar Ibrahim"	0.117989
Bhattarai	0.117986
Rawabdeh	0.117663
"Igor Ivanov"	0.116902
"Boutros Boutros Ghali"	0.116772
Nzo	0.116511
Museveni	0.116396
"Kim Jong Il"	0.116049
Mordechai	0.115985
Al-Sabah	0.115804
Buzek	0.115516
Sharif	0.115371
"Pervez Musharraf"	0.115076
Camdessus	0.115008
"Tang Jiaxuan"	0.114593
Wolfensohn	0.114266
"David Trimble"	0.114225
Constantinescu	0.11406
Fino	0.114006
Diouf	0.113879
Bedie	0.113868
"George Mitchell"	0.113521
"Sonia Gandhi"	0.113323
"Moammar Gadhafi"	0.11332
"Cambodian King Norodom Sihanouk"	0.113153
Muluzi	0.11302
Kostov	0.112911
Patasse	0.112886
Gurirab	0.112833
Rabbani	0.112762
Ikimi	0.112676
Orban	0.112558
"Seamus Mallon"	0.112558
Shipley	0.112252
Chirac	0.112223
Premier	0.112115
Menem	0.111951
Lukashenko	0.111793
"Tin Oo"	0.111302
Mahathir	0.111163
"Yitzhak Rabin"	0.111124
Misuari	0.111024
"Boris Yeltsin"	0.110524
"Foday Sankoh"	0.110405
"King Abdullah II"	0.110257
Juppe	0.110095
Mandela	0.109929
Rafsanjani	0.109903
"Omar Torrijos"	0.109823
Obuchi	0.10952
"Mahendra Chaudhry"	0.109399
vice-president	0.109328
"Amien Rais"	0.109308
Cem	0.108876
Narayanan	0.108844
Ahtisaari	0.108639
"Ibrahim Rugova"	0.108611
"Minister Shlomo Ben-Ami"	0.108517
Moratinos	0.108441
Demirel	0.108157
Brundtland	0.107988
Nano	0.107974
al-Shara	0.107617
"Roosevelt Johnson"	0.107501
"Abdulsalami Abubakar"	0.10748
"Rashid Dostum"	0.107362
Papandreou	0.107322
Vice-Premier	0.107291
Niyazov	0.107136
"Michael Portillo"	0.106854
"Joerg Haider"	0.106836
"Chea Sim"	0.106679
Kok	0.106547
"Silvio Berlusconi"	0.106432
emir	0.106228
"Joseph Bruno"	0.105628
Samper	0.105613
"Mike Moore"	0.105584
Rao	0.105548
"Laurent Fabius"	0.105493
Ahern	0.105472
"Bill Richardson"	0.105399
"Bizima Karaha"	0.105324
"Michel Camdessus"	0.104553
"William Daley"	0.104119
Kumaratunga	0.103807
Estrada	0.103673
Weizman	0.103655
Ogata	0.103649
Vollebaek	0.103327
"Nelson Mandela"	0.103306
"Jacques Chirac"	0.1032
"Secretary General Esmat Abdel-Meguid"	0.103078
Chancellor	0.103074
"Saeb Erekat"	0.102839
Boueiz	0.102836
"Anatoly Chubais"	0.102746
"Speaker Ali Akbar Nateq-Nouri"	0.102738
Denktash	0.102735
"Wolfgang Schaeuble"	0.102665
"William Hague"	0.102634
Buyoya	0.102485
"President Lee Teng-hui"	0.102442
Chaudhry	0.102235
Mugabe	0.10222
"Mikhail Gorbachev"	0.102164
"John Anderson"	0.101985
"Martin McGuinness"	0.10185
"B.J Habibie"	0.101843
Kabbah	0.101817
Ghalib	0.101793
"Massimo D'Alema"	0.10174
Murayama	0.101733
Peres	0.101633
Wahid	0.101594
"Jiang Zemin"	0.10147
"Fernando Henrique Cardoso"	0.101453
"Vladimir Putin"	0.101382
"Wu Yi"	0.101342
"Hashim Thaci"	0.101326
"Menachem Begin"	0.101218
"Carl Bildt"	0.101186
Ruehe	0.101098
Zhu	0.10109
"Ricardo Alarcon"	0.101031
"De Soto"	0.100932
"Margaret Thatcher"	0.100912
al-Khalifa	0.10078
"Orlando Mercado"	0.100702
"deputy foreign minister"	0.100394
Hrawi	0.100205
"Olusegun Obasanjo"	0.100177
Wamba	0.100128
Kavan	0.100125
al-Sharaa	0.100051
"Jaswant Singh"	0.100015
))
(Chavez (desc 31901.8) (sims
Khatami	0.147295
Putin	0.141695
Cardoso	0.141506
Fujimori	0.140819
"Hugo Chavez"	0.136739
Wahid	0.129103
Schroeder	0.128141
Estrada	0.123975
Castro	0.122358
Obuchi	0.120066
Mugabe	0.119278
Menem	0.118692
Hoffa	0.118089
Netanyahu	0.11742
Pastrana	0.116765
Yeltsin	0.114682
Bush	0.110344
McCain	0.10977
Lukashenko	0.109429
Zedillo	0.108579
Barak	0.107812
Blair	0.107677
Kohl	0.107571
Rua	0.106853
Chen	0.106727
Megawati	0.106381
Habibie	0.106034
gore	0.105598
Berisha	0.104648
Arafat	0.104015
Giuliani	0.103856
Gingrich	0.103658
Mandela	0.102925
Clinton	0.102922
Bradley	0.102501
Kostunica	0.102371
Pataki	0.102357
Prodi	0.102331
Obasanjo	0.101373
Kuchma	0.101138
Mbeki	0.100791
Mahathir	0.100686
Hashimoto	0.0995567
Rugova	0.0985016
Stoyanov	0.098145
Chirac	0.0979902
DOLE	0.097924
Primakov	0.0977179
Haider	0.0975042
Nujoma	0.0968309
Buchanan	0.0968044
"Hun Sen"	0.0967669
"De La Hoya"	0.0961524
Rafsanjani	0.0961048
Museveni	0.0959875
Kabila	0.095788
Vajpayee	0.0955003
Nazarbayev	0.0953932
Chuan	0.0947065
Ramos	0.0946764
Tung	0.0937456
Mahuad	0.0935492
Milosevic	0.0934335
Trimble	0.0933207
Perot	0.0930721
Kim	0.0926668
Bouteflika	0.0925669
"George W. Bush"	0.0924155
Samper	0.0918714
Jiang	0.091795
Lott	0.0915489
Sharif	0.0911883
Noboa	0.091155
Plavsic	0.0909208
Chavalit	0.0909101
Jospin	0.0908667
Kumaratunga	0.0907462
Djukanovic	0.090611
Annan	0.090335
Gephardt	0.0891602
Tudjman	0.0891083
Peres	0.0888564
Ecevit	0.0886921
Samaranch	0.0885142
Maskhadov	0.0884065
Forbes	0.0883755
Frei	0.0879613
Hasina	0.0875546
Schumer	0.0874053
Fischer	0.0870405
Simitis	0.0866511
Lahoud	0.086628
Mordechai	0.0864993
Savimbi	0.0863071
Yilmaz	0.0862544
Chiluba	0.0860289
Weizman	0.0855602
Moi	0.0855113
D'Amato	0.0847274
Demirel	0.0843804
"Keizo Obuchi"	0.0841175
Moscoso	0.0841054
Lieberman	0.0838719
Aleman	0.0837418
D'Alema	0.0837227
Zyuganov	0.0835416
Chretien	0.0835124
Aznar	0.0835068
Khamenei	0.0831097
Mori	0.0827831
Albright	0.0827462
Luzhkov	0.0827039
Holyfield	0.0824528
Abubakar	0.0823626
Nader	0.0823496
Lafontaine	0.082166
Mubarak	0.0819637
Chernomyrdin	0.0818193
Rabbani	0.0817531
Koirala	0.0815944
Daley	0.0815558
Labastida	0.0815504
Kaunda	0.0815033
Meciar	0.0814523
Aristide	0.0814043
president-elect	0.0812891
Bouchard	0.081226
"Benjamin Netanyahu"	0.0809296
Clerides	0.080872
Mosley	0.0807457
Kiriyenko	0.0806439
Madrazo	0.080336
Cellucci	0.080196
Mkapa	0.0801128
Zeroual	0.0800943
Gorbachev	0.0797859
Draskovic	0.0797799
"Julio Cesar Chavez"	0.0797739
Aziz	0.0796454
Ventura	0.0792848
Cardenas	0.0789363
Tyson	0.0788864
Richardson	0.0787975
Reagan	0.0787845
"Ehud Barak"	0.0786422
Cohen	0.0786004
Chissano	0.0785454
Diouf	0.0784462
Gadhafi	0.0784361
Fernandez	0.0782647
Arias	0.0782133
Saddam	0.0781978
Zhu	0.0778451
Poplasen	0.0777504
Constantinescu	0.077693
Quartey	0.0776685
Musharraf	0.0775331
"Vladimir Putin"	0.0773893
Abacha	0.077175
Farrakhan	0.0770672
Hariri	0.0770281
pope	0.0769319
Rakhmonov	0.076894
Ahern	0.0768857
Shipley	0.0768848
Whitman	0.0767882
Holbrooke	0.0767679
Kennedy	0.0764413
Blatter	0.0763292
Ranariddh	0.0762809
Muluzi	0.0761521
"Atal Bihari Vajpayee"	0.0758881
Assad	0.0757334
Corzine	0.0755782
Quayle	0.0754651
Ammiano	0.075397
Banharn	0.0751759
"Bill Clinton"	0.0751568
"Al Gore"	0.075114
"Chuan Leekpai"	0.0751017
Havel	0.0750221
Meles	0.0749884
Abdullah	0.0749493
Feinstein	0.0748948
Botha	0.0747492
Governor	0.0747446
Anwar	0.0746586
Megret	0.0745556
Denktash	0.0744011
Seleznyov	0.0742939
Buyoya	0.0742881
Toledo	0.0742791
Howard	0.0742469
Hastert	0.0742319
Trinidad	0.0741706
Nixon	0.0740882
Florio	0.074069
Bauer	0.0740244
Nateq-Nouri	0.0739265
"John Paul"	0.0738728
))
(CHE (desc 1870.01) (sims
Guevara	0.267216
"Simon Bolivar"	0.148093
"Ho Chi Minh"	0.145865
"Che Guevara"	0.09304
"Bruce Lee"	0.0764101
Xanana	0.0752132
"Tom Osborne"	0.0709573
una	0.0708965
"Mario Andretti"	0.0703984
Tseng	0.0653518
"Unknown Soldier"	0.0629618
"Robert Shaw"	0.056225
"Kim Il Sung"	0.0561247
"Diego Maradona"	0.0557331
"Alberto Tomba"	0.0547337
"Ayatollah Ruhollah Khomeini"	0.0528476
gilder	0.0527054
"Peter Lynch"	0.0526394
"Chow Yun-Fat"	0.0517255
Samper	0.0514204
"Gordie Howe"	0.0510606
"Wild Man"	0.050927
Tintin	0.0506487
"Robert Guei"	0.0495661
Mckee	0.0486872
"Richard Petty"	0.0485872
Penney	0.0484133
Carrera	0.0480584
Mundo	0.0477738
Gachet	0.0475365
Cr	0.0471325
"Red Auerbach"	0.0469934
"Mao Tse-tung"	0.0469134
"Rosa Parks"	0.0468576
Camdessus	0.0467865
"Fidel Castro"	0.0457986
"Charles de Gaulle"	0.0455037
Neeman	0.0452178
Iceman	0.0450894
"Mahatma Gandhi"	0.0447235
Ruggiero	0.0438628
Airness	0.0435189
"Pervaiz Musharraf"	0.0430208
"Andy Warhol"	0.0423705
Klerk	0.0422931
"Kurt Cobain"	0.0418914
crooner	0.0418511
"Zhou Enlai"	0.0417756
"Lothar Matthaeus"	0.0416275
"Emanuel Steward"	0.041365
"Dr. Sun Yat-Sen"	0.0412305
"Patti Smith"	0.0410195
Lenin	0.0409122
thespian	0.0408728
Mellencamp	0.0404232
Mussolini	0.04041
Koskinen	0.0403384
"Inspector Gadget"	0.0400618
Mandelson	0.0400269
))
("Che Guevara" (desc 2605.24) (sims
"Ho Chi Minh"	0.132814
Guevara	0.0948405
CHE	0.09304
Sacagawea	0.0828896
"Malcolm X"	0.0768379
"Robert F. Kennedy"	0.0724622
Selena	0.0719167
"Kim Il Sung"	0.0676976
"John Kennedy Jr."	0.0674211
"Martin Luther King Jr."	0.0673971
Koresh	0.0652209
Khomeini	0.0648726
"Fidel Castro"	0.0646877
PFC	0.0627035
Superman	0.0624604
"Prophet Mohammed"	0.0623633
"Pol Pot"	0.061984
"Tupac Shakur"	0.0615
"Abraham Lincoln"	0.0601887
"Sam Houston"	0.0599175
"David Koresh"	0.0587992
Freaknik	0.0585541
"Robert Kennedy"	0.0582799
"traveling salesman"	0.0581927
"Simon Bolivar"	0.0578652
Lenin	0.0575957
serviceman	0.0571733
zeppelin	0.0571731
Webdale	0.0562096
"Mao Zedong"	0.0561924
"Dalai Lama"	0.0553297
"Martin Luther King"	0.0546524
"Nelson Mandela"	0.0546124
"James Dean"	0.0542816
naturalism	0.053663
"Bobby Phills"	0.0533553
Mao	0.053098
"JonBenet Ramsey"	0.0529824
"John F. Kennedy"	0.0525942
"Mao Tse-tung"	0.0525796
"Carole Sund"	0.0524207
"Jerry Garcia"	0.0521772
Dudayev	0.0515266
"Joe Camel"	0.0514477
"Gianni Versace"	0.0513338
Ileto	0.0511308
rayon	0.0510293
"Frederick Douglass"	0.050803
"civil rights leader"	0.050256
"Ron Brown"	0.0502268
"Kendra Webdale"	0.0501821
"Shao Yunhuan"	0.0501489
airmen	0.0499651
parachutist	0.0499209
"dark blue"	0.0496424
"John Lennon"	0.0494417
Stalin	0.049358
"Galina Starovoitova"	0.0492799
"Charles Manson"	0.0492735
"William Randolph Hearst"	0.0492579
Gandhi	0.048498
"Adam Petty"	0.0484644
"Moammar Gadhafi"	0.0484208
Sakyamuni	0.0483879
"Mother Teresa"	0.0483761
Fubu	0.0483224
crewmembers	0.0481445
"Abbie Hoffman"	0.0481332
"Louis Farrakhan"	0.0480695
"Mickey mouse"	0.0479399
skydiver	0.0478281
"Radovan Karadzic"	0.0476304
"Medgar Evers"	0.0475232
"Claudia Benton"	0.047484
"Matthew Eappen"	0.0473487
JonBenet	0.0470439
"Jack Kerouac"	0.0465066
"Charles Lindbergh"	0.0464729
"JFK Jr."	0.0463753
"Thomas Youk"	0.0462065
"Leonardo DiCaprio"	0.0460349
"right whale"	0.0457633
Sandinistas	0.0455236
Bellush	0.0453254
suffocation	0.0453188
motorcyclist	0.045181
"Jim Jones"	0.0451669
"Franklin D. Roosevelt"	0.0451192
JAKES	0.0450285
postman	0.0449519
"Reggie Lewis"	0.0447159
KKK	0.0446744
Starovoitova	0.0443153
"Moshood Abiola"	0.0442529
"Khieu Samphan"	0.0441319
"King Kong"	0.0440298
"Elvis Presley"	0.0438888
militiaman	0.0438595
"Andreas Papandreou"	0.043853
"James Byrd Jr."	0.0437518
"Jesus Christ"	0.0431492
"Donald duck"	0.0430879
crooner	0.0429763
Dae-jung	0.0428167
"Felix Savon"	0.0427789
"Derrick Thomas"	0.0427326
Nijinsky	0.0426722
"royal blue"	0.0425698
"mushroom cloud"	0.0425228
hooter	0.0425098
Abiola	0.0424069
lawmen	0.0423279
"Kim Perrot"	0.0422684
"Margaret Mitchell"	0.0420949
"Ayatollah Ruhollah Khomeini"	0.0419351
"George Washington"	0.041935
"Nolan Ryan"	0.0414973
"Martha Moxley"	0.0414144
"Gulbuddin Hekmatyar"	0.0411364
"James Byrd"	0.0411025
"King Hassan"	0.0410926
ox	0.0410578
"Adolf Hitler"	0.041056
"Cardinal John O'Connor"	0.0409723
Biko	0.0408981
"Pervez Musharraf"	0.0408662
DKNY	0.0408245
crewmen	0.0407418
Aristide	0.0406895
"Yukio Hatoyama"	0.040423
"navy blue"	0.0404006
Raznatovic	0.0402756
"Bashar Assad"	0.0402427
))
("Chea Sim" (desc 2861.45) (sims
"Norodom Ranariddh"	0.253459
"Ung Huot"	0.21799
"Kim Yong Nam"	0.215139
"Cambodian People's Party"	0.175233
"Sepp Blatter"	0.159937
"Wang Daohan"	0.159434
"Tom Johnson"	0.159095
"Jack Valenti"	0.157942
Stoyanov	0.15526
"Jacques Santer"	0.151925
"Girija Prasad Koirala"	0.150293
"Than Shwe"	0.149719
"Frank Joklik"	0.147798
"King Norodom Sihanouk"	0.1421
"Vaclav Klaus"	0.140335
Akayev	0.139935
"Yegor Stroyev"	0.137129
Ranariddh	0.137033
"Ricardo Alarcon"	0.135645
"Megawati Soekarnoputri"	0.131713
"Romano Prodi"	0.13097
Santer	0.129275
"Jim Nicholson"	0.128997
"Milos Zeman"	0.12842
Mkapa	0.128208
"Bill Lann Lee"	0.126587
"Yoshiro Mori"	0.12657
Al-Sabah	0.126222
"Phan Van Khai"	0.125913
"Archbishop Desmond Tutu"	0.125766
Misuari	0.125665
"Ketumile Masire"	0.125462
"Sam Rainsy"	0.124922
Zeroual	0.124606
Alatas	0.124442
"Wlodzimierz Cimoszewicz"	0.123093
Harmoko	0.122389
Meguid	0.121116
FUNCINPEC	0.12078
"Chuan Leekpai"	0.119464
Muoi	0.119442
"Minister Shlomo Ben-Ami"	0.118947
"H.D Deve Gowda"	0.118827
Kwasniewski	0.118688
"Wim Duisenberg"	0.118311
"Billy Payne"	0.118283
"Qiao Shi"	0.118099
"Dick Pound"	0.117735
"Mikulas Dzurinda"	0.117223
"Tim Fischer"	0.116958
"Olusegun Obasanjo"	0.116813
"Nur Misuari"	0.115982
"Julian Bond"	0.115607
Leghari	0.115068
"Martti Ahtisaari"	0.114755
Jayakumar	0.114356
Museveni	0.114249
"Alija Izetbegovic"	0.114127
"Kim Jong-pil"	0.114125
Scalfaro	0.113603
"Pandeli Majko"	0.113557
Abubakar	0.113503
"Zhou Guangzhao"	0.11221
"Momir Bulatovic"	0.112204
Luong	0.111483
"Joao Havelange"	0.111272
"Amien Rais"	0.110839
Abdel-Meguid	0.110434
"Atal Bihari Vajpayee"	0.110356
"Ariel Sharon"	0.109987
"John Sweeney"	0.109838
"Michel Camdessus"	0.109826
"Secretary General Esmat Abdul-Meguid"	0.109688
"William Daley"	0.109674
"Cambodian King Norodom Sihanouk"	0.109642
"Khin Nyunt"	0.109405
"Mesut Yilmaz"	0.109274
Chissano	0.10922
"Cesar Gaviria"	0.10913
Masire	0.108828
"Sher Bahadur Deuba"	0.108801
Nazarbayev	0.108087
"Benazir Bhutto"	0.107975
"Jonas Savimbi"	0.107604
"Yossi Sarid"	0.107078
Rafsanjani	0.106886
"Chavalit Yongchaiyudh"	0.106679
"Li Tieying"	0.106656
Chiluba	0.10642
"Gennady Seleznyov"	0.105854
Ganzouri	0.105853
"Li Peng"	0.105842
"Arthur Levitt"	0.105816
"Juan Antonio Samaranch"	0.105651
Izetbegovic	0.105146
"Gulbuddin Hekmatyar"	0.10513
"Wolfgang Schuessel"	0.104773
Menem	0.104607
"Atal Behari Vajpayee"	0.104489
Deuba	0.104194
Ikimi	0.103972
"Ivan Kostov"	0.103562
Diouf	0.10351
"Tom Welch"	0.103464
Kuchma	0.103242
Constantinescu	0.103241
"Krishna Prasad Bhattarai"	0.103174
"Hans Blix"	0.103144
"Marzuki Darusman"	0.102578
"Pascoal Mocumbi"	0.102506
Meles	0.102492
"Jiang Zemin"	0.102361
"Radu Vasile"	0.102237
"Richard Smith"	0.101994
"Martin Lee"	0.101961
Bhattarai	0.101729
"Deve Gowda"	0.101415
Chirac	0.100993
"Kim Dae Jung"	0.10084
"Prime Minister Kamal El-Ganzouri"	0.100721
"Prime Minister Banharn Silpa-Archa"	0.100163
"Hun Sen"	0.0999912
"Abdulsalami Abubakar"	0.0998909
Chuan	0.099859
Brittan	0.0998046
"Defense William Cohen"	0.0997958
"Secretary General Esmat Abdel-Meguid"	0.0994765
Ramos	0.099208
"de Charette"	0.0990232
"Lee Hsien Loong"	0.0986677
Lukashenko	0.0986301
Buyoya	0.0985174
"Tony Coelho"	0.0984989
"Dan Burton"	0.0982499
Niyazov	0.0981707
Sihanouk	0.098032
Kabariti	0.0978987
"Meles Zenawi"	0.0978393
Phieu	0.0977212
Velayati	0.0976875
"Inder Kumar Gujral"	0.0975206
"Chief Executive Tung Chee-hwa"	0.0973067
"Koo Chen-fu"	0.0972782
Nujoma	0.0971395
"Oskar Lafontaine"	0.0970075
"Fatos Nano"	0.0969607
Gujral	0.096883
"Sumner Redstone"	0.0966568
"Vaclav Havel"	0.0965155
Klestil	0.0965008
"Jack Welch"	0.0964825
Kasoulides	0.0962107
Blatter	0.0961903
Sumaye	0.0956488
"Bashkim Fino"	0.0955551
"Abdurrahman Wahid"	0.095512
"Gennady Zyuganov"	0.0954219
"Bulent Ecevit"	0.0953645
Narayanan	0.0951738
Qiao	0.0951239
"Jack Gargan"	0.0950895
"Jacques Chirac"	0.0950336
Bruton	0.0947836
"Thabo Mbeki"	0.0946698
Kharrazi	0.0944686
Moi	0.0944401
"Mel Karmazin"	0.0944073
Rakhmonov	0.0939826
"Javier Solana"	0.0938753
"Li Ruihuan"	0.0938589
"Ernesto Zedillo"	0.0936747
Duisenberg	0.0936371
Lipponen	0.093215
Juma	0.0932025
Karimov	0.0931745
"Bill Archer"	0.0930703
Shevardnadze	0.0930297
Kumaratunga	0.0929569
"Lionel Jospin"	0.0928967
Rong	0.0928228
"Keizo Obuchi"	0.0922863
"Dai Bingguo"	0.0917475
"Yasser Arafat"	0.0916612
"William Roth"	0.091492
"Atef Obeid"	0.0913675
"Charles Dolan"	0.0913584
Rodionov	0.0912204
Frei	0.0910895
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0908571
"Aslan Maskhadov"	0.0908285
"Goran Persson"	0.0907269
"Pierre Buyoya"	0.0907192
Moscoso	0.0906834
Nzo	0.0906555
"Tareq Aziz"	0.0905678
"Jean-Marie Le Pen"	0.0903682
el-Ganzouri	0.0898543
"Binyamin Netanyahu"	0.0897371
Klima	0.0897253
Buthelezi	0.0896655
))
("Cheah Soon Kit" (desc 1764.16) (sims
"Ge Fei"	0.256507
"Qin Yiyuan"	0.253845
"Ricky Subagja"	0.227535
"Simon Archer"	0.213353
"Ong Ewe Hock"	0.212448
"Candra Wijaya"	0.193655
"Liu Yong"	0.189997
"Elena Berezhnaya"	0.170121
"Oksana Kazakova"	0.155431
"Gary Hall"	0.150104
"Marina Anissina"	0.149576
"Yu Zhuocheng"	0.146294
"Rexy Mainaky"	0.13965
"Marc Rosset"	0.128163
"Mia Audina"	0.121783
"Jan-Ove Waldner"	0.119688
"Anjelika Krylova"	0.119646
"Chen Jing"	0.118234
"Dai Yun"	0.116268
"Rashid Sidek"	0.114693
"Fiona May"	0.11415
"Wang Yifu"	0.113983
"Fung Permadi"	0.113944
"Felix Savon"	0.112294
"Li Jiajun"	0.112007
"Thomas Stangassinger"	0.108207
"Carlos Costa"	0.106582
"Anita Wachter"	0.106167
Hendrawan	0.106044
"Deon Hemmings"	0.105378
"Frankie Fredericks"	0.105177
"Todd Woodbridge"	0.104793
"Gong Ruina"	0.104701
"Mark Woodforde"	0.103687
"Dong Jiong"	0.103478
"Liu Guoliang"	0.103422
Shuwei	0.103052
"Allen Johnson"	0.102818
"Brooke Bennett"	0.102726
"Judith Wiesner"	0.101689
"Sandra Voelker"	0.101545
Eliza	0.100558
"Wang Liqin"	0.0988416
"Kieren Perkins"	0.0985905
"Tian Liang"	0.0982612
"Amy van Dyken"	0.0978783
"Nathalie Dechy"	0.0977119
"Wang Tao"	0.0966857
"Daniel Kowalski"	0.0965799
"Naoko Sawamatsu"	0.0958599
"Li Ju"	0.0956031
"Irina Slutskaya"	0.0947943
"Garry Kasparov"	0.0946367
"Leander Paes"	0.0946087
"Svetlana Khorkina"	0.0945903
"Sergi Bruguera"	0.0945001
"Nancy Kerrigan"	0.0942602
"Mary Joe Fernandez"	0.0938062
"Alberto Berasategui"	0.0932334
"Brenda Schultz-McCarthy"	0.0923107
"Alexei Nemov"	0.0917994
"DON JOHNSON"	0.0908793
"Kong Linghui"	0.0906924
"Javier Sanchez"	0.0895382
Berasategui	0.0893465
"Guo Jingjing"	0.0884241
"Simona Amanar"	0.0883655
"Sarah Pitkowski"	0.0882067
Susanti	0.0880151
"Neville Godwin"	0.0877927
"Arnaud Clement"	0.0875804
"Maria Butyrskaya"	0.0871711
"Ye Zhaoying"	0.0868914
"Jennifer Capriati"	0.0864612
"Samantha Riley"	0.0863447
"Justin Gimelstob"	0.0857933
"Peter Rasmussen"	0.0855014
"Francisco Clavet"	0.0853085
"Mark Crear"	0.0852589
"Alexei Urmanov"	0.0852524
"Camilla Martin"	0.0851715
"Michelle Kwan"	0.0851661
"Lisa Raymond"	0.0848151
"Oksana Baiul"	0.08445
"Bjarte Engen Vik"	0.0841434
"Susi Susanti"	0.0840523
"Lasse Kjus"	0.0838409
"Magdalena Maleeva"	0.0837958
"Gong Zhichao"	0.0836217
"Jean-Philippe Gatien"	0.0826407
"Fu Mingxia"	0.0822151
"Derrick Adkins"	0.0818469
"Asa Carlsson"	0.08172
"Xiong Ni"	0.0815388
"Lori McNeil"	0.0812384
"Charles Austin"	0.0808154
"Kenneth Carlsen"	0.0807272
"Katja Seizinger"	0.0807144
"Jonas Bjorkman"	0.0805996
"Alexandra Fusai"	0.080254
"Jacco Eltingh"	0.0802067
"Susie O'Neill"	0.0801677
"American Todd Martin"	0.0800886
"Vincent Spadea"	0.0800507
"Magnus Gustafsson"	0.0797807
"Alexander Popov"	0.079617
"Shannon Miller"	0.0795473
"Jenny Thompson"	0.0794643
"Wang Nan"	0.0794603
"Grant Stafford"	0.0790054
"Paul Haarhuis"	0.0786199
"Tara Lipinski"	0.078206
"John Godina"	0.0780563
"Christian Ruud"	0.0779952
"Jonathan Stark"	0.077348
"Mariano Zabaleta"	0.0768319
"Nicklas Kulti"	0.0763568
"Arantxa Sanchez-Vicario"	0.0762433
"Lin Li"	0.0761814
"Sabine Appelmans"	0.0753262
"Richey Reneberg"	0.0748277
"Mahesh Bhupathi"	0.0746557
"Andreas Vinciguerra"	0.0742775
"Galo Blanco"	0.0741334
"Silvia Farina"	0.0740086
Halard-Decugis	0.073988
"Michael Chang"	0.0737932
Kasparov	0.0736437
"Sjeng Schalken"	0.0735608
"Ma Lin"	0.0731881
"Stefan Edberg"	0.0729133
"Joannette Kruger"	0.0725225
"Sebastien Lareau"	0.0724
"Chen Lu"	0.0723517
"Elvis Stojko"	0.0721754
"Filip Dewulf"	0.0721281
"Peter Nicol"	0.0721244
"Shanghai Shenhua"	0.0720339
"Felix Mantilla"	0.0719194
"Jeff Tarango"	0.0717706
"Peter Gade Christensen"	0.071769
"Paul Tergat"	0.071725
"David Reid"	0.0707675
"Scott Draper"	0.0705365
"Joko Suprianto"	0.0704997
"American Pete Sampras"	0.0704621
"Pat Rafter"	0.0703325
"Penny Heyns"	0.0702963
"Michelle Smith"	0.0701819
"Gustavo Kuerten"	0.0700952
"Jason Stoltenberg"	0.0696354
"Buster Douglas"	0.0695941
"Jorgen Persson"	0.0695621
Petronas	0.0694555
"Ai Sugiyama"	0.0691852
"Arantxa Sanchez Vicario"	0.0690605
"Carl Lewis"	0.0689724
"Hermann Maier"	0.0683881
"Elena Likhovtseva"	0.0683711
"Albert Costa"	0.0683295
Nicol	0.0682372
"Jiri Novak"	0.0681053
"Julian Alonso"	0.0678756
"Thomas Johansson"	0.0676556
"Amy Frazier"	0.0674929
"Claudia Poll"	0.0674411
Sidot	0.0673677
"Merlene Ottey"	0.0673508
"Dominique Moceanu"	0.0672995
"Dennis Mitchell"	0.0672944
"Yang Yang"	0.0672184
"Russian Yevgeny Kafelnikov"	0.0670282
"Jerome Golmard"	0.0663211
"Guy Forget"	0.0661642
"Dominique Van Roost"	0.0660366
"Rainer Schuttler"	0.0659404
"Bjorn Borg"	0.065728
"Hilde Gerg"	0.0656932
"Byron Black"	0.0656912
"Svetlana Masterkova"	0.0656635
"Ruxandra Dragomir"	0.0655255
"Cara Black"	0.0650594
"Barbara Schett"	0.0650313
"Jana Novotna"	0.0650223
Testud	0.0650023
"Fernando Meligeni"	0.0649263
"Le Jingyi"	0.0646596
"Kimiko Date"	0.0646589
"Albert Portas"	0.0645956
"Tom Dolan"	0.064546
"Arnaud Di Pasquale"	0.0644955
"Barbara Paulus"	0.0644617
"Todd Martin"	0.0643768
"Fatuma Roba"	0.0641914
"Anne-Gaelle Sidot"	0.0640362
"Anke Huber"	0.0640104
"Conchita Martinez"	0.0637139
"Andre Agassi"	0.0636822
"Zhang Ning"	0.0636449
"Deng Yaping"	0.0635637
))
(cheap (desc 2228.7) (sims
shoestring	0.0740768
"auction block"	0.0602121
Sabbath	0.0488174
))
(cheapest (desc 1321.99) (sims
highest	0.102963
safest	0.102738
busiest	0.100492
tallest	0.0933987
fastest-growing	0.0846411
deepest	0.0794669
second-highest	0.0779276
third-highest	0.0720758
third-largest	0.0719743
toughest	0.0715573
strongest	0.0713931
poorest	0.0705805
"double agent"	0.0689563
shortest	0.0685978
slowest	0.0678964
richest	0.0671175
second-fastest	0.0664256
"about @@@ percent"	0.0654619
oldest	0.0644972
setting-up	0.0644811
birthrate	0.0627945
"top dog"	0.062677
"sphere of influence"	0.0622317
fastest	0.0613243
polluter	0.060684
"strong belief"	0.0585521
pariah	0.0574042
third-best	0.0548192
"standard operating procedure"	0.0543542
well-established	0.0540582
bloodiest	0.0532866
Presense	0.0520691
toehold	0.0519072
earliest	0.0517422
longest	0.0511479
well-received	0.0509888
"important person"	0.050031
overcapacity	0.0495603
"getting even"	0.0489263
brightest	0.048824
"less than five percent"	0.048556
"suspension bridge"	0.0485115
No.@@@	0.0472122
"foot soldier"	0.0471734
ferment	0.0471255
shakeout	0.046886
"over @@@ tons"	0.046437
"lingua franca"	0.0462916
preeminence	0.046152
destabilization	0.0453741
hottest	0.0445037
downturns	0.044117
second-worst	0.043988
catharsis	0.0433384
"civic duty"	0.0426065
"cold spell"	0.0423144
"bubonic plague"	0.0422812
laughingstock	0.0415052
overheating	0.0409488
))
(cheat (desc 5552.58) (sims
cheater	0.137377
liar	0.124021
adulterer	0.116043
evaders	0.110829
charlatan	0.110626
Philanderer	0.10512
lawbreaker	0.101723
phony	0.0993183
bully	0.0979429
perjurer	0.0954171
wrongdoer	0.0948531
hypocrite	0.0935187
bigot	0.0916202
pedophiles	0.0901972
crook	0.0895618
swindler	0.0861552
criminal	0.0855161
coward	0.0854127
violator	0.083977
thief	0.0836229
smuggler	0.0829432
"drug dealer"	0.0826828
shoplifter	0.0816908
Rapist	0.0803996
offender	0.0793042
abuser	0.0783357
"child molester"	0.0776766
burglar	0.07555
pickpocket	0.0754183
idiot	0.072963
delinquent	0.0727389
racist	0.0717535
incompetent	0.0714522
murderer	0.0702006
manipulator	0.070102
schemer	0.070101
fraud	0.0687168
counterfeiter	0.0685749
wimp	0.068451
trafficker	0.0678137
scofflaw	0.0671287
polluters	0.0653476
Pusher	0.0650128
felon	0.0641813
perpetrator	0.064029
bloke	0.0632589
arsonist	0.0631952
poacher	0.0631181
"drug trafficker"	0.0617183
denier	0.0607192
traitor	0.0595219
pedophile	0.0582908
"tax shelter"	0.0582677
"serial killer"	0.0575772
scam	0.0573115
thug	0.0570101
robber	0.0568752
troublemaker	0.0562902
stalker	0.0559995
whore	0.0559123
snakehead	0.0558665
forger	0.0554767
chicanery	0.0546109
opportunist	0.0545642
"drug addict"	0.0544341
rustler	0.0544222
bandit	0.0544167
kingpin	0.0542708
miscreant	0.0537533
dilettante	0.0536856
"white knight"	0.0536513
"tax evasion"	0.0536378
infraction	0.0535484
thievery	0.0530936
hacker	0.0527959
freeloader	0.0527513
looter	0.0527037
hooligan	0.0525207
tyrant	0.0524681
"tax avoidance"	0.0510275
trickster	0.0505101
impostor	0.0504776
profiteer	0.0503018
kidnapper	0.0501316
leech	0.0500769
debtor	0.0499332
"war criminal"	0.049658
mugger	0.0496539
offence	0.0494023
dishonesty	0.0493602
"bad guy"	0.0492328
junkie	0.0491132
snob	0.0491011
rogue	0.0489997
rascal	0.0489929
CAD	0.0487321
"accounting problem"	0.0486796
mobster	0.0485369
identifier	0.0482531
"juvenile delinquent"	0.048241
"identification number"	0.0481828
"con artist"	0.0481259
"drug user"	0.0480125
stat	0.047928
racketeer	0.0477904
exploiter	0.047523
bribe-taking	0.0473814
DEADBEAT	0.0473675
assailant	0.0470906
TRUANT	0.0469946
gangster	0.0468175
deception	0.046675
weakling	0.0465134
juvenile	0.0463312
spammers	0.0462445
illegals	0.0462119
"robbery suspect"	0.0460747
gambler	0.0455615
culprit	0.045127
scoundrel	0.0445414
"risk taker"	0.0442498
underachiever	0.0441131
cipher	0.0439835
bloomer	0.0437832
"hanky panky"	0.0437728
"big leaguer"	0.04377
aggressor	0.043638
"world traveler"	0.0435688
preparers	0.0435472
Kurd	0.0432658
"money laundering"	0.0430966
carcinogen	0.0429277
fascist	0.0429177
"hard worker"	0.0429017
hothead	0.0427251
extortionist	0.0426384
reformer	0.0425576
defaulter	0.0425449
influence-peddling	0.0424298
swindle	0.0423396
migrant	0.0423385
launderers	0.0422845
enigma	0.0421557
middlemen	0.0420267
doer	0.0419049
deserter	0.041844
"sleight of hand"	0.0417868
vagabond	0.041345
panhandler	0.0413125
"breach of trust"	0.0413111
attacker	0.0411529
"Rafael Resendez-Ramirez"	0.041151
"big spender"	0.0411238
lowlife	0.0410188
SNPs	0.0407694
dreamer	0.0407391
TORTURER	0.0404436
"waiting game"	0.0404358
"prima donna"	0.0403393
pimp	0.0403156
has-been	0.0402941
trickery	0.0402285
assassin	0.0401801
"guardian angel"	0.0401622
acquirer	0.0401343
loophole	0.0401187
psychopath	0.0400099
))
(cheater (desc 3274.54) (sims
shoplifter	0.10132
wrongdoer	0.099299
lawbreaker	0.0926733
delinquent	0.0909007
evaders	0.0836676
liar	0.0816971
adulterer	0.0783715
trespasser	0.0771144
crook	0.07481
Philanderer	0.0694082
felon	0.0669954
scofflaw	0.0651852
weirdo	0.0650182
tarpon	0.0644477
wimp	0.0641021
idiot	0.0631651
charlatan	0.0630866
lout	0.0629844
violator	0.0616965
thief	0.06116
crossers	0.0603616
underachiever	0.0595791
troublemaker	0.0595787
"child molester"	0.0592446
spammers	0.0589576
manipulator	0.058525
hypocrite	0.0584047
incompetent	0.0583406
forger	0.0564374
"big leaguer"	0.056194
bigot	0.0561253
coward	0.0557942
procrastinator	0.0555859
defaulter	0.0545609
boozer	0.0538746
"prima donna"	0.0538737
"world traveler"	0.0538383
"job candidate"	0.0535214
perpetrator	0.0533635
transsexual	0.0532943
"risk taker"	0.0527719
"bad guy"	0.0527526
bastard	0.0525721
"hard worker"	0.0525255
derelict	0.052455
whiner	0.0516356
murderer	0.0516212
worrier	0.0512765
overpayment	0.0511238
DEADBEAT	0.050539
perjurer	0.0504487
looter	0.0503901
acquirer	0.0503158
trafficker	0.0499242
"foul ball"	0.0498547
"Angel Maturino Resendiz"	0.049742
"Sugar Ray"	0.0493143
illegals	0.0492082
burglar	0.0488759
Stillwater	0.0486956
highflier	0.0486469
Rapist	0.0485667
pedophiles	0.0485101
denier	0.0485022
"Rafael Resendez-Ramirez"	0.0483495
abuser	0.048305
polluters	0.0477454
impostor	0.0471624
"plantation owner"	0.046846
"Tom Presthus"	0.0465898
buffoon	0.0464835
soulmate	0.0464764
TORTURER	0.0463953
hooligan	0.0462082
"ball club"	0.0461515
impurity	0.0460683
"young person"	0.0459464
here.	0.0457779
Virenque	0.0456733
Hantavirus	0.0454197
"pain in the neck"	0.0453478
duckling	0.0452853
extortionist	0.0449187
pedophile	0.0448427
"Barenaked Ladies"	0.0447222
robber	0.0445573
saboteur	0.0444922
Biffle	0.0444694
hearsay	0.044248
assailant	0.0437924
swindler	0.0430985
provocateurs	0.0428559
bettor	0.0424916
leech	0.0424709
purchaser	0.0424253
aggressor	0.0424242
"drug lord"	0.0424014
stingray	0.0423279
"white person"	0.0419144
"life form"	0.0419125
intruder	0.0417886
"good person"	0.0416982
"safety problem"	0.0415539
hacker	0.0414622
bailiff	0.0413086
arsonist	0.0411748
payer	0.0411001
slob	0.0410232
scum	0.0409751
TRUANT	0.0409659
"war criminal"	0.0409236
opportunist	0.0409121
plotter	0.0408161
"guitar player"	0.0407545
woodworker	0.0406891
flak	0.0405165
"Olympic Movement"	0.0405082
swordfish	0.040501
vandals	0.0404415
"drug user"	0.0404297
stuntman	0.0404169
heretic	0.0402796
bookie	0.0402658
"white knight"	0.0402593
voyeur	0.0402503
bloke	0.0401923
"storm cloud"	0.0401348
resister	0.0400672
expletive	0.0400219
kidnapper	0.040009
))
(Chebet (desc 2377.29) (sims
Roba	0.136546
Tanui	0.129292
Longo	0.107968
Loroupe	0.107023
"Moses Tanui"	0.100364
Sainz	0.0917098
Kagwe	0.0915609
Boldon	0.0893265
Jayasinghe	0.0886588
Klim	0.0886043
Szabo	0.0867775
"El Guerrouj"	0.0853169
Vasser	0.085168
Devers	0.0836457
Dragila	0.0832614
Butyrskaya	0.0828268
Kjus	0.0828054
Khannouchi	0.0826148
"Li Xuemei"	0.0806041
Sautin	0.0804103
Fredericks	0.0791353
Olano	0.0787274
Pippig	0.0773837
Doohan	0.0762569
Jalabert	0.0749446
Labonte	0.0747032
Makinen	0.0744531
Meissnitzer	0.0743852
"Van Roost"	0.0742643
Goetschl	0.0737382
Godina	0.0733092
Biffle	0.0730924
Kenseth	0.0688678
Cipollini	0.0686489
Gustafsson	0.06862
Popov	0.0683511
Zanardi	0.0681284
Ottey	0.0680771
Kwan	0.0680251
Slaney	0.0678769
Hawkeyes	0.0678569
Mauresmo	0.0676721
Samuelson	0.0674962
Pantani	0.067271
Capel	0.066721
Ullrich	0.065409
Yagudin	0.0652911
"Daniel Komen"	0.0642411
Chilukki	0.0642155
Lucic	0.0639246
Drummond	0.0636752
Huber	0.0635533
Tomba	0.0633195
Kipketer	0.0632418
Malek	0.0629252
Artax	0.0626655
Appleby	0.0626266
"Prime Timber"	0.0620449
"Guo Jingjing"	0.0620339
Charest	0.061448
"Yu Zhuocheng"	0.0613981
Montgomerie	0.06137
Ivanisevic	0.0612745
Luyendyk	0.0612441
"Ward Burton"	0.0611294
Gebrselassie	0.0609645
Villeneuve	0.0608886
"Koji Ito"	0.0606064
"Michael Von Gruenigen"	0.0605252
Costa	0.0602581
Katsav	0.0600745
Xiong	0.0600563
Karlsson	0.0600008
Montalvo	0.0599157
Jarrett	0.0598058
"Favorite Trick"	0.0597184
Morceli	0.0597178
Adkins	0.0597177
"Hilde Gerg"	0.0597076
"Christine Arron"	0.0595895
"Jenny Chuasiriporn"	0.0594501
Nicol	0.0594384
Polgar	0.0591666
Medvedev	0.0591655
Newsome	0.0590115
Wiberg	0.0589644
"Inger Miller"	0.058906
Gillom	0.0587676
gelding	0.0586022
Setzer	0.0585445
"Jocelyn Thibault"	0.0585102
Cora	0.0584394
"David Coulthard"	0.0584129
Illini	0.0583098
"Pernilla Wiberg"	0.0580965
"Mark Crear"	0.0579842
"Ralf Schumacher"	0.0579765
"Earnhardt Jr."	0.0576717
Heyns	0.0576325
Springbok	0.0574128
Franchitti	0.0573711
"Regina Jacobs"	0.0569769
"Maurice Greene"	0.0569546
"Larry Nelson"	0.0568973
Sanchez-Vicario	0.0568334
Larsson	0.0568226
Pioline	0.0567859
Seizinger	0.0567704
Sorenstam	0.0567552
Kasparov	0.0567345
"Deon Hemmings"	0.0565908
Nicklaus	0.0563801
Kuerten	0.0562884
Savarese	0.056262
"Fatuma Roba"	0.0562313
Lithuanians	0.0559674
Hagi	0.0558738
"Li Na"	0.0557892
Hakkinen	0.055647
"American Chanda Rubin"	0.0555929
McRae	0.0554813
"Banshee Breeze"	0.0554213
Navratilova	0.0554103
Guerra	0.0553952
Menifee	0.0553639
"Irina Privalova"	0.0551515
Obilic	0.0551212
"Cathy Freeman"	0.0550977
Stoltenberg	0.0550578
Safin	0.0548986
"Sam Snead"	0.0548945
D'Amico	0.0548095
Krayzelburg	0.0546419
"Tegla Loroupe"	0.0545515
Deion	0.0545294
Sykora	0.0540566
Capriati	0.054043
Perrot	0.0540167
Tarawneh	0.0537411
Kiefer	0.053704
gamecock	0.0532755
Greene	0.0532698
Boardman	0.0530563
Antley	0.0528871
Lassiter	0.0528579
Aamodt	0.05285
Mantilla	0.0527504
Raoux	0.0526902
"Fighting Irish"	0.0525106
"Carlos Sainz"	0.0523638
Arron	0.0523099
rios	0.0521708
"Michael Schumacher"	0.0521055
"Kim Clijsters"	0.0520828
Colbert	0.0519681
"Tom Steels"	0.0519082
"Annika Sorenstam"	0.051845
Lieberthal	0.0518125
"Fusaichi Pegasus"	0.0517549
Inkster	0.0517346
"Huang Xu"	0.0517243
Frenchwoman	0.051688
"Brian Watts"	0.0516561
Janzen	0.0516554
"Yang Yang"	0.0515452
Tauziat	0.0514741
"Cedric Pioline"	0.0514608
Av	0.0514597
Santoro	0.0514326
Wasdin	0.0514186
"Ian Thorpe"	0.0514114
Seles	0.051403
Testud	0.0512318
"Dario Franchitti"	0.0512246
Lobo	0.0510419
"Davis Love III"	0.050933
Montoya	0.0508834
Behrens	0.0508384
McCormack	0.0508313
Terrell	0.0508287
Huard	0.0508113
Ochoa	0.0506416
Vick	0.0506357
Taufik	0.0505092
Boilermakers	0.0504954
Kuchar	0.0504277
Berasategui	0.0503367
Fuhr	0.0501271
Helton	0.0499343
Savon	0.0498911
Novotna	0.0495989
Dolan	0.0495469
Vermeil	0.0494241
Karpov	0.0494128
Krone	0.0493699
"Merlene Ottey"	0.0493617
Mickelson	0.0492346
"Red Bullet"	0.0491917
McCarty	0.0491361
Bech	0.0490546
))
(Checchi (desc 1134.73) (sims
Golisano	0.122649
Millner	0.0914696
Madrazo	0.0899139
Kennelly	0.0834715
Hazelwood	0.0823249
"Papa John"	0.0789627
Rylander	0.0769785
Schrempp	0.0755428
Corzine	0.0744041
Goldwater	0.0728833
Labastida	0.0714489
Lungren	0.0704988
Bunning	0.0687769
Rossotti	0.0684373
Eszterhas	0.0672877
Espinosa	0.0667154
FAIRCLOTH	0.0663729
Leedham	0.0648384
Giordano	0.0639729
Warnaco	0.0629718
Vallone	0.062001
"Ricardo Lagos"	0.061774
Florio	0.0616838
"John Reed"	0.060731
Andreas	0.0604997
Brownlee	0.0592004
Wyly	0.0586539
Rhee	0.0579018
"El Guerrouj"	0.0575274
MacKay	0.0573726
Dukakis	0.0571772
Hirschfeld	0.0562719
Mauro	0.0561678
Mineta	0.0560942
Huffington	0.0560752
Dorsey	0.0559066
Logue	0.0557516
Danka	0.0556323
"Walter Mondale"	0.055272
Treen	0.054919
Doan	0.0545782
Wasserman	0.0544258
Klink	0.0541887
"Harvey Weinstein"	0.0541822
Schell	0.0539832
Providian	0.0539076
Doohan	0.0538693
Koop	0.0536278
Eisner	0.0534891
Antley	0.0530034
Khannouchi	0.0525425
Koznick	0.0522877
Nethercutt	0.0519617
Vacco	0.0518622
Kroll	0.0517767
Salemme	0.0516633
Groscost	0.0512706
Fiorina	0.0512453
"Perez Balladares"	0.051078
RNC	0.0507229
Spitzer	0.0506438
Gerstner	0.050549
"Jim Florio"	0.050399
Glendening	0.0501339
Langdon	0.0501145
Kazhegeldin	0.0500088
Quayle	0.0497937
Jayhawks	0.0496519
Arron	0.0495845
Nader	0.049493
Coelho	0.0492714
"Handgun Control"	0.0491389
Humphrey	0.0491137
Gilmore	0.0490672
Qureshi	0.0490313
KPFA	0.0489445
Huskers	0.0487119
Rideau	0.0484826
"Citigroup Inc."	0.0484636
"Michael Dukakis"	0.0483501
Kerik	0.0482119
"Republican Leadership Council"	0.0481404
"Sierra Club"	0.047943
"Sam Wyly"	0.0478648
Hartman	0.0475977
"Jerry Buss"	0.0470357
Ingraham	0.04671
Blount	0.0465818
Shandling	0.0463342
Kagwe	0.0461812
Isakson	0.0461266
Harshbarger	0.0458325
Yagudin	0.0457646
Stolle	0.0457509
Noboa	0.045739
"McCaughey Ross"	0.0457227
Kipketer	0.0456694
Plavsic	0.0455401
Hsieh	0.0454975
Schmalensee	0.0449424
Badillo	0.0449332
"Nippon Credit"	0.0449247
JAKES	0.0448529
Natale	0.0443105
Roberds	0.0441676
"Laura Bush"	0.0440526
Rogan	0.0435576
"Brigitte Bardot"	0.043496
Caltrans	0.0434215
Irvan	0.0434137
Cavallo	0.0432139
Massey	0.0431474
Ashcroft	0.0430093
Heyward	0.0429822
"Rudy Giuliani"	0.0429786
Pantani	0.0429232
Bedell	0.0429197
McGovern	0.0428105
Edberg	0.0428066
"Ways and Means Committee"	0.04245
Belo	0.0423134
Imus	0.0422808
Rawlings	0.0422379
DIMON	0.042124
Eskew	0.0420758
Kostunica	0.0420661
Anderlecht	0.0418882
gelding	0.0417169
Sepracor	0.0416719
"Chief Executive Tung Chee-hwa"	0.0416615
Santorum	0.0415272
RJR	0.0414179
Banzer	0.0413528
"Excellent Meeting"	0.0413041
Takahashi	0.0412885
"South Korean won"	0.0411254
Gifford	0.0410841
Shurmur	0.0410767
DiCarlo	0.0410324
Sahadi	0.0410168
Boesak	0.0408542
Sheehan	0.0406337
Moseley-Braun	0.0406081
BRITNEY	0.0405973
"Betsy McCaughey Ross"	0.0405881
D'Alessandro	0.0405792
Taft	0.040538
Loewen	0.0405203
Merlino	0.0405089
Siegelman	0.0404669
Walesa	0.0403163
Thuram	0.0402907
Nepa	0.0402391
NIH	0.040202
Meriwether	0.040124
Pippig	0.040112
Eli	0.0400917
Willard	0.0400834
))
(Chechen (desc 11567.5) (sims
Abkhazian	0.219793
"Kosovo Albanian"	0.196881
Kashmiri	0.18627
Tajik	0.181722
Kurdish	0.173162
Kosovar	0.166786
"Kosovar Albanian"	0.164689
"Ethnic Albanian"	0.154236
Zapatista	0.142531
Hutu	0.142199
BASQUE	0.140969
Ingush	0.139359
Montenegrin	0.135212
Zairian	0.127845
Kurd	0.124949
Latvian	0.122816
"Shiite Muslim"	0.121789
Uzbek	0.121151
"Bosnian Serb"	0.118887
MRTA	0.116807
Belarussian	0.112989
Armenian	0.111597
Ukrainian	0.110748
LRA	0.1094
Belarusian	0.108713
Banyamulenge	0.107984
Ivorian	0.107362
secessionist	0.107052
Taleban	0.106407
"North Korean"	0.106348
Timorese	0.103436
Moldovan	0.102831
Kyrgyz	0.102593
"Bosnian Croat"	0.101183
"Bosnian Muslim"	0.100889
Croat	0.100467
Lithuanian	0.0991268
Turkish	0.0979095
Tutsi	0.0973315
Interahamwe	0.0966746
Slovak	0.09565
Islamist	0.0949994
"Sierra Leonean"	0.0945184
Kazak	0.0944562
"Viet Cong"	0.0941879
"Sri Lankan"	0.0936673
Sandinista	0.0934845
"Abu Sayyaf"	0.0929798
ADF	0.0922167
Ecuadorean	0.0918239
Kazakh	0.090895
KLA	0.0899389
"Afghan Taliban"	0.0892935
"Northern Irish"	0.089118
Albanian	0.0890663
Camerounian	0.0889817
Azerbaijani	0.088932
Azeri	0.087359
guerrilla	0.0870177
"Costa Rican"	0.0859416
Estonian	0.0857303
Moro	0.0850956
Bougainville	0.0850452
pro-British	0.0848863
LTTE	0.0848584
Chechens	0.0839562
Maoist	0.0838584
Muslim	0.0834475
NPA	0.0832734
Balkan	0.0822076
RUF	0.0818986
"South Vietnamese"	0.0818973
SPLA	0.0807612
Hezbollah	0.0803953
PKK	0.0795594
RRA	0.0792499
bandit	0.0790285
"East Timorese"	0.079014
"Israeli Arab"	0.078903
"South Korean"	0.0788385
ELN	0.0785273
militant	0.0781992
"North Vietnamese"	0.0772967
Shiite	0.0770635
Basayev	0.0769019
rebel	0.0761503
MNLF	0.0759978
mujahedeen	0.0759505
Turkmen	0.0752307
"Middle Eastern"	0.0749174
"Khmer Rouge"	0.0747933
FARC	0.0744728
militia	0.0741677
Okinawan	0.0737404
Ijaw	0.0737317
Contra	0.0736495
MILF	0.0728408
separatist	0.0724863
Muslim-Croat	0.0723669
Irish	0.0721426
Rwandese	0.0720992
Georgian	0.0719255
"Greek Cypriot"	0.0718013
PUK	0.0714243
warlord	0.0714135
UNITA	0.0713539
"up to @,@@@"	0.0712032
Korean	0.070238
"Turkish Cypriot"	0.0692188
"Kosovo Liberation Army"	0.0686071
Tibetan	0.068337
"Sunni Muslim"	0.0680363
"Tupac Amaru Revolutionary Movement"	0.067324
Sudanese	0.0672892
fundamentalist	0.0671464
Druse	0.0668674
Philippine	0.0667231
hardline	0.0666905
Hmong	0.0664698
Dagestan	0.0661731
Kargil	0.0661287
guerilla	0.065953
"Irish Republican Army"	0.065442
Hamas	0.065283
Ecuadoran	0.0652424
Sikh	0.0652211
Arab	0.0650619
"Puerto Rican"	0.0649819
"Revolutionary United Front"	0.064876
paramilitary	0.0645599
"Lebanese Hezbollah"	0.0642343
slain	0.0635992
Icelandic	0.0633895
SLA	0.0631913
Somaliland	0.0627024
arming	0.0620019
IRA	0.0619817
loyalist	0.0618656
Scottish	0.0612501
Israeli-Arab	0.0612405
Catalan	0.0611829
"Saudi Arabian"	0.0610813
INDIA-PAKISTAN	0.0610572
Chechnya	0.0609737
ETA	0.060455
"South African"	0.0604198
Taliban	0.0598233
Soviet	0.059767
Breton	0.0596006
OPM	0.0592277
Botswanan	0.0589976
Fifteen	0.0588665
"Central Asian"	0.0587712
Greek	0.0587348
"East German"	0.0586343
"another seven"	0.0586336
terrorist	0.0585424
Amal	0.057557
Abkhazia	0.0573279
Finnish	0.0569315
Maltese	0.0565666
Swedish	0.0564016
"Moro Islamic Liberation Front"	0.0561478
"Tamil Eelam"	0.0558735
"Liberation Tigers of Tamil Eelam"	0.0556321
KDP	0.0555338
ragtag	0.0553013
DRC	0.0549686
basij	0.0549291
BSF	0.0548635
Dutch	0.0546417
Chiapas	0.0545864
commando	0.054473
GAM	0.0541843
NATO-led	0.0535968
KNU	0.0535254
"South Asian"	0.0534711
"Aslan Maskhadov"	0.0534404
Anjouan	0.0533768
Portuguese	0.0533407
RCD	0.0532319
"South Lebanon Army"	0.0531554
Arab-American	0.0530926
French	0.0529105
Maasai	0.052463
pro-western	0.0521866
Inuit	0.0521563
Karen	0.0520536
Berber	0.0518967
Sunni	0.0516365
gunmen	0.0515853
Twelve	0.0510507
Ulster	0.0508967
FN	0.0508499
"Orthodox Jewish"	0.0507704
Marehan	0.0507498
"civil defense"	0.0506662
militiamen	0.0506259
"about @@@"	0.0506216
Forty-four	0.0505418
))
(Chechens (desc 13902.4) (sims
Serbs	0.121121
"Kosovo Albanians"	0.11611
Albanian	0.114202
militant	0.10849
"Kosovar Albanians"	0.106391
guerrilla	0.105093
Kurds	0.104903
rebel	0.103336
separatist	0.101287
Lebanese	0.0983196
Armenians	0.097214
Ukrainians	0.0970292
Kosovars	0.0969289
Iranian	0.0937725
Iraqi	0.0937316
"East Timorese"	0.0930622
insurgent	0.0914604
"Greek Cypriots"	0.0901172
Angolan	0.0900605
civilian	0.0899214
Turk	0.0888497
villager	0.0887995
Liberian	0.0887914
Eritrean	0.0886836
Jew	0.0882564
Croats	0.0881289
Afghan	0.0873412
"Sri Lankans"	0.0869217
Tibetans	0.0863077
Beijingers	0.0861744
militia	0.0856796
"Iraqi POWs"	0.0855938
Vietnamese	0.0846383
Muslim	0.0843883
Palestinian	0.0841331
Chechen	0.0839562
Ethiopian	0.0839272
Bulgarian	0.0834699
Congolese	0.0827547
Bosnians	0.0827506
terrorist	0.0825401
Israeli	0.0823013
Somali	0.0819858
Mozambican	0.0817297
Pakistani	0.0815195
settler	0.0810782
Georgian	0.0806838
Haitian	0.0806478
Burundian	0.0800232
"Albanian Kosovars"	0.079723
Tutsis	0.0796161
Indonesian	0.0781594
Chinese-Indonesians	0.0778675
troop	0.0776415
Cambodian	0.0771541
soldier	0.0769603
"North Koreans"	0.0765849
Arab	0.0765492
Greeks	0.076502
Filipino	0.076363
Ugandan	0.0756002
"Bosnian Serbs"	0.0751404
Russian	0.0747358
Colombian	0.0742708
foreigner	0.074115
Rwandan	0.0739165
Kashmiris	0.0738726
"Bosnian Muslims"	0.0734608
Koreans	0.0731997
extremist	0.073115
Hutus	0.0731079
Nigerian	0.0731009
Taiwanese	0.0725269
Mexican	0.0724631
Jordanian	0.0721411
policemen	0.0716612
bandit	0.0716035
migrant	0.0715717
Japanese-Americans	0.0715212
fighter	0.071514
Yugoslav	0.0713363
Kuwaiti	0.0708464
illegals	0.0708335
servicemen	0.0708056
refugee	0.0703331
"Sierra Leonean"	0.0702897
"union member"	0.0696973
Nicaraguan	0.0696444
"South Koreans"	0.0691998
mercenary	0.0691382
Zimbabwean	0.068707
returnees	0.068513
Kenyan	0.0685061
Serbians	0.0684855
peasant	0.0684793
Romanian	0.0684551
Peruvian	0.0682174
Cuban	0.0681441
Sudanese	0.068103
dissident	0.0680594
ETA	0.0677847
"Russian Jews"	0.0675362
immigrant	0.0672974
"Iranian POWs"	0.0672928
peacekeeper	0.0672684
citizen	0.0669329
Salvadoran	0.0668712
"displaced person"	0.066512
protester	0.0662721
Algerian	0.0662406
Briton	0.0660602
non-Serbs	0.065858
deserter	0.0658009
kidnapper	0.0656805
miner	0.0656722
Moslem	0.0656424
PKK	0.0656057
"Kosovo Liberation Army"	0.0651567
Muscovite	0.0647269
Cuban-Americans	0.0643682
Egyptian	0.0639931
Zapatistas	0.0637614
gunmen	0.0637091
militiamen	0.06365
Austrian	0.0635281
evacuee	0.0633992
Guatemalan	0.063386
Cypriot	0.063238
Ecuadoreans	0.0629924
Honduran	0.062886
prisoner	0.0628046
Hijacker	0.0627943
Quebecers	0.0625209
KLA	0.0625047
"Armed Islamic Group"	0.062482
Taliban	0.0624032
congressmen	0.0623713
tribesmen	0.0623056
"military personnel"	0.0621844
westerner	0.0621674
follower	0.0621043
"Liberation Tigers"	0.0621004
Japanese	0.0617978
paramilitary	0.0616635
Syrian	0.0614184
"Kosovo Serbs"	0.0611372
Saudi	0.0611039
"Liberation Tigers of Tamil Eelam"	0.0610804
smuggler	0.06095
Iowan	0.0607584
demonstrator	0.0606714
faction	0.0604737
Malaysian	0.0603654
activist	0.0602868
criminal	0.0602398
enumerators	0.0602191
armymen	0.0599703
"drug trafficker"	0.059818
Zambian	0.0597445
VMs	0.0595409
Chilean	0.0594558
Hutu	0.0589072
Tutsi	0.0587909
Chechnya	0.0584236
Fijian	0.058407
Nepalese	0.0583831
Italian	0.0582718
Hamas	0.0582313
African	0.0581807
"Abu Sayyaf"	0.058169
gang	0.0579742
"New Zealander"	0.0575539
"Iraqi Kurds"	0.0574911
protestor	0.0574623
UNITA	0.0573733
Indian	0.0573025
Californian	0.057022
Moroccan	0.0569776
Hezbollah	0.0567517
Libyan	0.0567188
Latvians	0.0566284
nationalist	0.0565404
MILF	0.0564486
LTTE	0.0563843
businessmen	0.0563817
Thai	0.0563227
Bostonians	0.0562625
"senior citizen"	0.0562182
reservist	0.0562076
"military officer"	0.0561891
"university student"	0.0561201
Fishermen	0.0559947
Gypsy	0.0559489
inhabitant	0.0557015
firefighters	0.0556481
diplomat	0.0556207
Latino	0.0555252
marcher	0.0554354
laborer	0.0554253
orphan	0.0551251
))
(Chechnya (desc 99752.5) (sims
Kosovo	0.209816
Dagestan	0.208031
Grozny	0.183721
Afghanistan	0.174809
Republic	0.169949
"East Timor"	0.165543
Bosnia	0.164097
Lebanon	0.161644
Yugoslavia	0.158129
Congo	0.157843
"Sierra Leone"	0.154016
Kashmir	0.153105
Abkhazia	0.151798
Tajikistan	0.149406
Albania	0.147879
Iraq	0.140885
province	0.137606
Serbia	0.136335
Ingushetia	0.135918
Sudan	0.135142
Zaire	0.133292
Macedonia	0.130565
Somalia	0.130471
Balkans	0.12903
region	0.128693
Daghestan	0.125863
DRC	0.125609
territory	0.124406
"North Caucasus"	0.120182
Liberia	0.119287
"North Ossetia"	0.118819
Montenegro	0.118422
Angola	0.117272
Rwanda	0.115794
Burundi	0.114314
Cambodia	0.113413
Kabul	0.110437
Eritrea	0.109019
Russia	0.108454
Aceh	0.107685
Haiti	0.105395
Iran	0.105092
Algeria	0.105034
Uganda	0.104543
Caucasus	0.104347
Freetown	0.104333
Kyrgyzstan	0.103978
Turkey	0.10381
Colombia	0.103474
Kuwait	0.102537
Vietnam	0.102529
Tibet	0.101413
Baghdad	0.10133
"Northern Ireland"	0.100194
BELGRADE	0.0993716
Moscow	0.0992796
country	0.0986506
"West Bank"	0.0983817
Mindanao	0.0982173
Mogadishu	0.0980579
Israel	0.0979979
"Middle East"	0.0977828
Cyprus	0.0977627
Pakistan	0.097759
"West Timor"	0.0969987
Armenia	0.0969941
Taiwan	0.0969651
Ethiopia	0.0963725
Bosnia-Herzegovina	0.0961111
"Democratic Republic of the Congo"	0.093645
Croatia	0.0922689
Panama	0.0907818
village	0.090314
Lesotho	0.0898721
Guatemala	0.0898307
Syria	0.0896864
Sarajevo	0.0893056
India	0.089071
"African nation"	0.0889669
Africa	0.0885302
Nicaragua	0.0883607
"Democratic Republic of Congo"	0.0881872
Pristina	0.0880441
Mozambique	0.0878207
area	0.0877717
Guinea-Bissau	0.0875212
Europe	0.0868012
"Democratic Republic"	0.08658
peninsula	0.0864774
Ukraine	0.0859129
town	0.0857539
Azerbaijan	0.0857494
capital	0.0856353
Beirut	0.0855808
Peru	0.0854304
"African country"	0.0853879
Mexico	0.0853407
Bangladesh	0.0852362
Belarus	0.0846564
Kenya	0.0841806
Tanzania	0.0840351
Zambia	0.0838873
Moldova	0.0837398
"Persian Gulf"	0.0837073
Namibia	0.0835567
Kinshasa	0.0834774
Gaza	0.0831223
Jammu	0.0829876
China	0.0828983
JERUSALEM	0.0827647
island	0.0822606
Egypt	0.0822328
Philippines	0.0821018
"Sri Lanka"	0.0819324
"South Lebanon"	0.0817831
Georgia	0.0812997
city	0.081119
Nagorno-Karabakh	0.0808283
Kisangani	0.0807045
Hungary	0.0805532
Libya	0.0802647
Chiapas	0.0801334
"Saudi Arabia"	0.0800083
"Gaza Strip"	0.0799069
"North Korea"	0.0798308
Yemen	0.0794246
"Central Asia"	0.079308
Nigeria	0.0791272
Zimbabwe	0.0786523
Monrovia	0.0785358
Uzbekistan	0.0782341
Indonesia	0.0773876
Myanmar	0.0771838
Kazakstan	0.0770952
Cuba	0.0768177
Nepal	0.0762254
Hebron	0.0753418
Bulgaria	0.075273
Poland	0.0751709
Honduras	0.0749636
Kazakhstan	0.0747467
war	0.0744782
zone	0.0740382
Asia	0.0740108
Laos	0.0737879
south	0.0736668
Guinea	0.0735213
north	0.0732396
Brazzaville	0.0731679
Nairobi	0.0731375
Dili	0.0727064
Greece	0.0726549
Belfast	0.0721832
Jolo	0.0719946
border	0.0712234
"Balkan country"	0.0711287
Palestine	0.0710789
Ambon	0.070507
Japan	0.0704867
state	0.0704809
Tehran	0.0704717
BEIJING	0.0704462
Germany	0.0702396
Goma	0.0701879
Macao	0.0701384
"Central America"	0.070092
Romania	0.070004
Thailand	0.0698129
Turkmenistan	0.0695004
"South Africa"	0.0693495
Argun	0.0691547
"United States"	0.0691317
Jordan	0.0690852
homeland	0.0690042
France	0.0689667
Malaysia	0.0687484
Quebec	0.0686634
rebel	0.0686298
"El Salvador"	0.0685688
Islamabad	0.068333
Senegal	0.0682188
Gulf	0.0682141
Venezuela	0.0681221
NATO	0.0680104
Lithuania	0.0678402
Ecuador	0.0678265
Jaffna	0.067713
Korea	0.0674686
"Hong Kong"	0.0674189
Jakarta	0.0671478
Baidoa	0.0669109
"South Asia"	0.0662903
district	0.0661632
Argentina	0.0660672
Burma	0.0659811
Maluku	0.0659005
Dushanbe	0.0659004
Italy	0.0656491
Mazar-e-Sharif	0.0656353
Chile	0.0656087
))
(check (desc 113132) (sims
payment	0.14002
inspection	0.123029
money	0.11372
paycheck	0.113317
donation	0.109025
"background check"	0.107856
fee	0.107384
cheque	0.102911
refund	0.102709
"credit card"	0.101675
certificate	0.101594
card	0.100673
examination	0.100341
receipt	0.100202
cash	0.0980007
bonus	0.0976924
tax	0.0920619
test	0.0919902
document	0.0911443
information	0.0906712
loan	0.0902391
testing	0.0885651
contribution	0.0883466
account	0.0875101
ticket	0.0874048
checkup	0.0873226
fund	0.0865792
checking	0.086243
bill	0.0855959
subsidy	0.0854444
invoice	0.0844175
transaction	0.0842406
pension	0.0835857
gift	0.083166
fine	0.082074
coupon	0.0820135
deposit	0.0818175
saving	0.0817378
salary	0.0815822
search	0.0805672
letter	0.080504
data	0.0802299
contract	0.0800811
audit	0.079114
procedure	0.0788595
income	0.0783972
reimbursement	0.0781452
benefit	0.0779725
review	0.0772988
grant	0.0772009
copy	0.0770489
purse	0.0767637
rebate	0.0767236
credit	0.0767187
stipend	0.0764843
prize	0.0762566
purchase	0.0762431
sum	0.0762336
compensation	0.0759728
insurance	0.075579
repair	0.0753271
license	0.0752158
note	0.074921
application	0.0748105
paperwork	0.0743342
package	0.0734564
restriction	0.0732167
passport	0.072955
rent	0.0729068
evaluation	0.0726658
report	0.0721918
amount	0.0721765
debt	0.0720824
mortgage	0.0719772
funding	0.0717528
"down payment"	0.0716121
voucher	0.0710408
cost	0.0707464
allowance	0.070413
registration	0.0703691
guarantee	0.0703474
assessment	0.0697815
deduction	0.069739
wage	0.0697307
service	0.0694959
sale	0.0694113
penalty	0.0693412
documentation	0.0692989
asset	0.0689139
award	0.0687829
"bank account"	0.0687086
bribe	0.0686995
investigation	0.0685433
Mail	0.068464
regulation	0.0682968
"blood test"	0.0682329
scan	0.0681215
control	0.0680331
expense	0.0679006
"income tax"	0.0676943
incentive	0.0676212
visa	0.0676138
program	0.0675083
assistance	0.0673469
email	0.0671586
limit	0.0670224
deal	0.0669606
system	0.0665879
operation	0.0661657
form	0.065993
option	0.0659713
payoff	0.0658784
surveillance	0.0657863
maintenance	0.0657322
survey	0.0656026
"driver's license"	0.0653739
"tax break"	0.0653155
claim	0.0650997
scholarship	0.0650824
file	0.0649716
dividend	0.0649364
reward	0.0647532
paper	0.0646317
discount	0.0644961
financing	0.0642911
lease	0.064223
profit	0.0642046
identification	0.0640857
transfer	0.0639791
equipment	0.0639594
permit	0.0638291
study	0.0635681
list	0.063402
Exam	0.0631632
notice	0.0631427
appraisal	0.0630532
budget	0.0629974
request	0.0628961
premium	0.0628578
"tax deduction"	0.0627522
treatment	0.0627357
analysis	0.0626995
instruction	0.0626485
screening	0.0625448
requirement	0.0624774
security	0.0622735
settlement	0.0622429
order	0.0622138
due	0.0622081
bond	0.0621281
exemption	0.0621075
access	0.0621001
measure	0.0620022
supervision	0.0619208
"prize money"	0.061862
plan	0.0617984
investment	0.0616878
"cash payment"	0.0616101
inquiry	0.0613539
upgrade	0.0611593
"tax credit"	0.061067
number	0.0610348
damage	0.0609282
revenue	0.0608797
balance	0.0607615
envelope	0.0607481
"birth certificate"	0.0606713
share	0.0605286
supply	0.0604208
standard	0.0603755
coverage	0.0603386
aid	0.0603194
proceeds	0.0602055
"amount of money"	0.0599417
verification	0.0599251
"food stamp"	0.0598455
"stock option"	0.059833
"identity card"	0.059727
payouts	0.0597268
postcard	0.0597212
questionnaire	0.0595963
"insurance policy"	0.0593572
item	0.0592103
stamp	0.0591691
notification	0.0591201
agreement	0.0591146
research	0.0590612
burden	0.0590509
autopsy	0.0589704
message	0.0589669
job	0.0587688
restitution	0.0587515
provision	0.0587339
delivery	0.0586861
royalty	0.0586717
tab	0.0586596
kickback	0.0585099
scheme	0.0584341
prescription	0.0583584
renovation	0.0582635
))
(checkbook (desc 7580.91) (sims
wallet	0.0981425
"bank statement"	0.0899339
pocketbook	0.0898537
"checking account"	0.0843715
stopwatch	0.0802084
Rolodex	0.0755304
binocular	0.0740043
"traveler's check"	0.072461
"magnifying glass"	0.0713872
"bank card"	0.0697996
manhole	0.0692957
"bank account"	0.0686927
notepad	0.06836
"car door"	0.068259
calculator	0.0651429
"credit card"	0.0623589
briefcase	0.0594972
"tape measure"	0.0593936
"personal loan"	0.0589439
"account statement"	0.058513
debit	0.0578742
"screen door"	0.057844
stethoscope	0.056457
"driver's license"	0.0562555
notebook	0.0561308
"charge card"	0.0546596
clipboard	0.0539825
schoolwork	0.0528058
mortgage	0.0526082
suitcase	0.052313
"expense account"	0.0511737
"dog tag"	0.0508151
"war chest"	0.0506365
pencil	0.0500883
"Social Security number"	0.0499706
spigot	0.049928
"tape recorder"	0.0490519
flashlight	0.0487324
"automatic teller machine"	0.0485604
"laptop computer"	0.0480644
"piggy bank"	0.0479203
"baseball bat"	0.0478946
"savings account"	0.0476695
"order book"	0.0476205
"yellow pages"	0.0473745
passport	0.0473109
"medicine cabinet"	0.0466598
"phone book"	0.046363
"Palm Pilot"	0.0461063
scrapbook	0.0458563
"electric bill"	0.0454922
beeper	0.0454391
"body bag"	0.0453953
stationery	0.0453748
camcorder	0.0451897
broom	0.0451536
luggage	0.0449504
walkie-talkie	0.0446475
grandkids	0.0446451
laptop	0.0441637
manual	0.0438497
"cellular phone"	0.0435056
stub	0.0434382
hatchet	0.0432305
microphone	0.0430973
shotgun	0.042676
"business card"	0.0423259
"line of credit"	0.0423185
waistline	0.042235
"first CD"	0.0420832
purse	0.0420029
"fishing license"	0.0417094
brochure	0.0417062
"investment portfolio"	0.0415506
"tax liability"	0.0414104
floodgate	0.0412707
"floor plan"	0.0410492
beepers	0.0409369
"phone bill"	0.0405844
kitty	0.0401655
))
(checker (desc 6078.94) (sims
solitaire	0.113614
chess	0.0705331
domino	0.0661786
"board game"	0.063878
Bingo	0.0611226
workbook	0.0608808
croquet	0.0606677
"flight simulator"	0.0599761
thesaurus	0.0599042
Scrabble	0.0596305
scanner	0.0575819
snooker	0.0555043
"French horn"	0.0543292
blackjack	0.0530932
pinball	0.0509709
gotcha	0.0493735
calculator	0.0484436
"exotic dancer"	0.0478369
ping-pong	0.0472243
"risk taker"	0.0468711
adapter	0.0463614
playmakers	0.0459748
goaltenders	0.0457313
"card game"	0.0455868
"guardian angel"	0.0454404
"audio CD"	0.0454167
Polo	0.0452744
timer	0.043985
pinch-hitters	0.0438157
"slot machine"	0.042935
"radio announcer"	0.042642
"magnifying glass"	0.0425692
"pass catcher"	0.0424847
Rubicon	0.0423451
roulette	0.0423072
"speaker system"	0.0422298
converter	0.042065
"professional basketball"	0.0416543
poker	0.0415445
supplicant	0.0413706
Grinch	0.0410185
"round of golf"	0.0408233
imp	0.0407666
"break of serve"	0.0403614
"hearing aid"	0.0402745
Powerball	0.0402152
"ball club"	0.0401927
))
(checkerboard (desc 2588.6) (sims
parquet	0.109585
gingham	0.0981622
"spider web"	0.0943565
zigzag	0.0918539
Fubu	0.0869466
"About @@,@@@ hectares"	0.0759036
plaid	0.0751361
"patchwork quilt"	0.0663279
seesaw	0.0661639
"about @@@,@@@ hectares"	0.0659925
zebra	0.0632226
linoleum	0.0627761
"dark blue"	0.0623723
lattice	0.0617083
worn	0.0598414
"more than @@@,@@@ hectares"	0.0563585
turquoise	0.0547816
pinwheel	0.0541903
toenail	0.0530386
"Brooks Brothers"	0.0529794
"mushroom cloud"	0.0519543
"crazy quilt"	0.0509333
blob	0.0494267
"more than @ million tons"	0.0492842
arabesque	0.0481582
honeycomb	0.0480928
"more than @@@ hectares"	0.047522
inset	0.0473307
snakeskin	0.0469596
cowgirl	0.0469367
"million acres"	0.0464178
"more than @,@@@ hectares"	0.0462064
Plexiglas	0.0458515
"line drawing"	0.0454766
"space age"	0.0448352
suede	0.0446116
"navy blue"	0.0444619
"royal blue"	0.0431071
"nooks and crannies"	0.0428168
Deco	0.0427782
pleat	0.0427551
cartoonish	0.042642
Clintonian	0.0422402
helix	0.0421878
swoosh	0.041869
minimalist	0.0415908
"douglas fir"	0.0415659
"Union Jack"	0.0414071
"free form"	0.041288
corkscrew	0.0412835
retro	0.0411251
"lynch mob"	0.0408603
Congeniality	0.0408446
"coffee bar"	0.0407069
"more than @@,@@@ hectares"	0.0404168
))
(Checketts (desc 3036.91) (sims
"Van Gundy"	0.161029
"Dave Checketts"	0.140313
Ruehe	0.119966
Carollo	0.11684
GRUNFELD	0.114826
Velayati	0.111116
Pangalos	0.109083
Azizah	0.108547
Cashman	0.107639
Constantinescu	0.107624
Komura	0.107194
Barshefsky	0.106901
Ikeda	0.105483
Singson	0.105049
Hybl	0.104799
Scharping	0.103401
Condit	0.103161
Ebersol	0.100882
Schmid	0.0986344
Hamid	0.0981096
Beilin	0.0978206
Advani	0.0974464
Huizenga	0.0974392
Rakhmonov	0.0968677
Milutinovic	0.0966449
Hauser	0.0965623
Mullin	0.0964309
Klestil	0.0953327
Camdessus	0.0948078
Sergeyev	0.0947068
Bruton	0.0937364
Siazon	0.092984
Tagliabue	0.0928573
Riley	0.0926921
Moonves	0.0924256
Zambrano	0.0907574
Aguirre	0.0907144
Schottenheimer	0.0905904
Klima	0.0905351
Hoddle	0.0904595
Aventajado	0.090063
Boueiz	0.0900105
MIYAZAWA	0.0898281
Ruthardt	0.0895252
"de Charette"	0.0891336
Guthridge	0.0891067
Lipponen	0.0889212
Aziz	0.088664
"Prime Minister Kamal El-Ganzouri"	0.0885675
Keenan	0.08827
Lahoud	0.088233
Grachev	0.0880187
Nickerson	0.0878567
Mfume	0.0875943
Sassa	0.0875075
Karmazin	0.0874833
Dini	0.0874255
Chissano	0.0873842
Kwasniewski	0.0870408
Rongen	0.086851
Gosper	0.0866411
Cem	0.08661
Solana	0.0865979
Falk	0.0864634
Steinbrenner	0.0861289
Granic	0.0859021
Reinsdorf	0.08586
Shareh	0.0858538
Arens	0.0857019
Shevardnadze	0.0855323
Tsang	0.0853017
Dehaene	0.0851994
Naumann	0.0850333
Reimer	0.0848757
Rubinstein	0.0846965
Geiger	0.084527
Guterres	0.0843792
Teresi	0.0840888
Kostov	0.0838378
Haskins	0.083744
Alderson	0.0835248
Kabariti	0.083196
Safir	0.0828041
Piot	0.0826376
"Ernie Grunfeld"	0.0825651
Verniero	0.082513
Alatas	0.0824093
Kupchak	0.0821006
Wagoner	0.081859
Ganassi	0.0817027
"Brian Cashman"	0.0815222
Vialli	0.0814307
"Valery Pustovoitenko"	0.0814002
Eran	0.0813663
Goh	0.0811429
Eizenstat	0.0809936
Gaston	0.0808981
Santer	0.080879
Sherrill	0.0808647
Ben-Ami	0.0806372
Cooley	0.0806017
Mowlam	0.0804418
Kearin	0.0804383
Talbott	0.0802893
"Dos Santos"	0.0801775
Ivester	0.0801549
Menem	0.0801106
Malan	0.079948
Donnan	0.079767
Scalfaro	0.0795876
Nebiolo	0.0792875
Axworthy	0.0792473
Meissner	0.0791785
Gullikson	0.0789393
Frei	0.0787035
Finkel	0.0786307
Hackett	0.0785326
Fassel	0.0783928
Krause	0.0783663
Cowher	0.0783394
Kharrazi	0.0782595
Westendorp	0.0782486
Arum	0.0780715
Ecevit	0.0780101
Harmoko	0.0779049
Bavasi	0.0778671
Jayakumar	0.0777816
Wannstedt	0.0775518
Hodler	0.0774266
Ivanov	0.0774253
Kerasiotes	0.0773473
McCurry	0.0773368
Rangel	0.0772925
Muckler	0.077151
Calipari	0.0771478
Yosef	0.077146
Indyk	0.0770829
Chretien	0.0770405
Vollebaek	0.0769723
Husseini	0.0767923
Rifkind	0.0767422
Wilhelm	0.0767157
Layden	0.0766074
Blatter	0.0765097
Hrawi	0.0764648
Faget	0.076449
Chavalit	0.0763436
ROMNEY	0.076308
Insulza	0.0762543
Solich	0.0762541
Billick	0.0762187
Hargrove	0.0762083
Maslyukov	0.0761454
Flanagan	0.076082
Moratinos	0.0758899
ANGELOS	0.0754285
"De Soto"	0.0754071
Bubb	0.0753524
Fassett	0.0753479
Kasoulides	0.075314
McLane	0.0753058
Beazley	0.0752066
Abdel-Meguid	0.0750777
Lockyer	0.0750235
Ahtisaari	0.0747914
Gujral	0.0747556
Manley	0.0746784
McNulty	0.0746078
Nazarbayev	0.0745782
Glickman	0.0745715
Buzek	0.0745264
"Chief Executive Tung Chee-hwa"	0.0745158
Orban	0.0744474
Daft	0.074395
Kesri	0.0743861
Scioscia	0.0743109
Milbury	0.0742168
"Atef Obeid"	0.0741895
Mordechai	0.0741134
Joklik	0.0740419
Bettman	0.0739787
Hirschbeck	0.0739393
Moussa	0.0739368
Weizman	0.073898
Kuchma	0.0738641
Zeman	0.0736001
Leyland	0.0734853
Patel	0.0733454
Demaci	0.0733199
Garcetti	0.073248
Newhouse	0.0732466
Goossen	0.073191
Luzhkov	0.0731528
wheeler	0.072908
Zuma	0.0729066
Waddell	0.0728441
Surin	0.0728109
Seselj	0.0727416
Nasrallah	0.0727225
Piggie	0.0726684
))
(Checkfree (desc 2701.08) (sims
ExciteAtHome	0.195247
Emulex	0.171397
E-LOAN	0.168551
McKesson	0.152338
RJR	0.150945
ENTREMED	0.149525
"Cox Communications"	0.146015
MiniMed	0.143164
Healtheon/WebMD	0.140816
HP	0.140812
Equifax	0.140702
"Phelps Dodge"	0.140096
"Silicon Graphics"	0.138789
SGI	0.138132
RealNetworks	0.137221
Weyerhaeuser	0.136868
Lycos	0.135871
ALZA	0.135206
EMC	0.135173
Ciena	0.135109
VENATOR	0.133933
WPP	0.133025
XYLAN	0.13279
Seagate	0.131035
Nextel	0.130877
CMGI	0.130798
NiSource	0.130791
"U.S. Trust"	0.130594
Providian	0.13048
Chiron	0.130231
"Hongkong Telecom"	0.128956
PLDT	0.128926
CCE	0.128896
NTL	0.12872
Healtheon	0.128661
Infoseek	0.127534
Alcatel	0.126772
Unisys	0.126739
Novell	0.125876
Cisco	0.125619
MindSpring	0.125616
"KCP&AMP;L"	0.125518
"Thermo Electron"	0.125096
ETrade	0.123987
"P&AMP;G"	0.123058
E-Trade	0.123022
"Computer Associates"	0.121616
GTE	0.12154
Bestfoods	0.121514
Priceline	0.120488
Aetna	0.12018
"Washington Mutual"	0.119776
"JDS Uniphase"	0.119528
Akamai	0.119368
MP@.com	0.119134
"Waste Management"	0.118464
Albertson's	0.118274
"Oracle Corp."	0.118179
NORTHROP	0.118096
"Rite Aid"	0.11734
Genzyme	0.117164
PEOPLESOFT	0.116669
Compaq	0.116423
AutoNation	0.116248
UAL	0.116182
Bridgestone	0.115989
Webvan	0.115907
ATHOME	0.115643
TYCO	0.115172
"Dell Computer"	0.114945
Polaroid	0.114866
"HBO &AMP; Co."	0.114476
"MCI WorldCom"	0.11446
Ericsson	0.114457
"Network Solutions"	0.113946
Biogen	0.11339
oracle	0.11329
GeoCities	0.113268
Halliburton	0.113208
Xerox	0.113128
Hotmail	0.112558
Qualcomm	0.112542
AmeriTrade	0.111985
SkyTel	0.111929
Nortel	0.111767
Asda	0.111662
WebMD	0.111621
TELLABS	0.111161
Norwest	0.11099
Qwest	0.110911
"Con Ed"	0.110317
Seagram	0.110216
Gillette	0.109767
"Stride Rite"	0.109201
Inktomi	0.109123
"Hewlett-Packard Co."	0.109112
Litton	0.108964
Starwood	0.108894
Amgen	0.108678
"American Family Publishers"	0.108067
"Global Crossing"	0.108041
AOL	0.107966
Petrofina	0.1078
"Times Mirror"	0.107325
Broadcom	0.10697
Kodak	0.106903
CompUSA	0.106741
"Alta Vista"	0.106723
GANNETT	0.106694
Corel	0.106159
EarthLink	0.106083
Broadcast.com	0.106036
"Pacific Century"	0.105863
AMR	0.10585
adobe	0.105601
"Red Hat"	0.105349
Pairgain	0.105251
CNET	0.104912
Cendant	0.104621
Motorola	0.104603
Autodesk	0.104141
Tandy	0.104132
Schwab	0.10388
Honeywell	0.103818
IDT	0.102945
"America Online"	0.102795
"U S West"	0.102773
"Cisco Systems"	0.102607
"RJR Nabisco"	0.102415
AGL	0.102273
"BP Amoco"	0.102205
Alltel	0.102038
Priceline.com	0.101819
Vodafone	0.101699
Roberds	0.10169
BellSouth	0.101508
Alcoa	0.101473
MCI	0.101352
"First Union"	0.101267
"Hewlett Packard"	0.101216
Genentech	0.101019
LTCB	0.10099
"Bausch &AMP; Lomb"	0.10094
Schlumberger	0.100766
Agilent	0.100445
DoubleClick	0.100441
"Lucent Technologies"	0.100026
Penney	0.0999673
Cargill	0.0997319
SBC	0.0994753
AltaVista	0.0993797
Pfizer	0.0993656
Eurotunnel	0.099363
"International Paper"	0.0992659
Mannesmann	0.0992621
Hasbro	0.0992121
NetZero	0.0991014
ENTERGY	0.0990219
Sunbeam	0.0988282
"News Corp."	0.098459
Bristol-Myers	0.0984366
Hewlett-Packard	0.0983381
"Apple Computer"	0.0982566
REVLON	0.097916
"Real Networks"	0.0977222
Cadbury	0.0976186
"Ask Jeeves"	0.0974441
Terra	0.0974413
Dell	0.0973687
Gilead	0.0972547
Pepsico	0.0972432
"Texas Instruments"	0.097235
Telefonica	0.0972219
Caldor	0.0972135
"American Home"	0.0971747
WorldCom	0.0970628
sandpiper	0.097016
Vivendi	0.0970072
"Johnson &AMP; Johnson"	0.0969266
Dupont	0.0969199
VoiceStream	0.0967134
"National Grid"	0.0966973
Chevron	0.0962817
COLTEC	0.0957872
RAMBUS	0.095725
"Bell Atlantic"	0.0956339
Scientific-Atlanta	0.0956084
Verizon	0.095458
"Northern Telecom"	0.0954472
Cabletron	0.0953691
Netscape	0.0951781
Humana	0.0951162
Medtronic	0.0950438
Warnaco	0.094742
Stratus	0.0946757
Safeway	0.0944654
Georgia-Pacific	0.0943979
Nabisco	0.0943469
BCE	0.0943284
Paxson	0.0943061
))
(checking (desc 19278.7) (sims
"checking account"	0.0902054
check	0.086243
inspection	0.0661839
testing	0.0629091
screening	0.059809
examination	0.05809
evaluation	0.0573308
surveillance	0.0571296
checkup	0.0558148
cleaning	0.0557395
sorting	0.0535951
figuring	0.0535674
planning	0.0528808
investigating	0.0527019
verification	0.0521244
annuity	0.0520394
registration	0.0518719
audit	0.0518329
maintenance	0.0517895
monitoring	0.050697
parking	0.0500603
enforcement	0.0497299
consultation	0.0496774
counseling	0.0492017
boarding	0.0490982
transportation	0.0489066
doing	0.0486742
digging	0.0481628
babysitting	0.048034
"medical exam"	0.0480069
bidding	0.0480063
detection	0.0475982
identification	0.0475611
reporting	0.0472972
tuning	0.0467619
"savings account"	0.0466857
excavation	0.0466799
shipping	0.046559
"quality control"	0.0461028
financing	0.0459109
autopsy	0.0458223
fingerprinting	0.0458094
communication	0.045661
postage	0.0456137
oversight	0.0454203
"tax collection"	0.0452438
shopping	0.045219
saving	0.0447231
delivery	0.0446441
"medical care"	0.0446369
diversification	0.044588
appraisal	0.0445783
procurement	0.0445625
supervision	0.0444834
immunization	0.0443614
"detective work"	0.0443486
"storage space"	0.044152
transaction	0.0438947
escrow	0.0438582
selling	0.0438519
surfing	0.043774
insurance	0.0434236
distribution	0.0432972
assessment	0.0432816
"internal control"	0.0430204
"brokerage account"	0.0425494
rebuilding	0.0422898
documentation	0.0421013
"credit card"	0.0420298
processing	0.0419546
"background check"	0.0419345
scouting	0.0419005
storage	0.0418957
bookkeeping	0.0417063
reading	0.0416137
editing	0.0416011
eating	0.0413622
listening	0.0413469
campaigning	0.0412308
accounting	0.0410579
banking	0.0410451
navigation	0.0408846
observation	0.0407929
switching	0.0406068
pruning	0.0405781
tackling	0.0405771
filing	0.0405152
prevention	0.0403628
coaching	0.0401758
recruitment	0.0401734
giving	0.0401463
teamwork	0.0400894
walking	0.0400559
sifting	0.0400557
))
("checking account" (desc 7720.85) (sims
"savings account"	0.179377
"bank account"	0.153976
"brokerage account"	0.142818
"credit card"	0.119328
mortgage	0.110105
annuity	0.10964
"consumer loan"	0.0966907
"mutual fund"	0.0956742
"retirement account"	0.094768
"bank deposit"	0.093323
"certificate of deposit"	0.0902589
"Vanguard Index @@@"	0.0902455
checking	0.0902054
"savings bond"	0.0900185
debit	0.0878754
checkbook	0.0843715
"money market"	0.0839943
"time deposit"	0.0823633
escrow	0.0802542
"traveler's check"	0.0790174
"home mortgage"	0.078821
atm	0.0783466
"trust fund"	0.077532
"charge card"	0.0771222
saving	0.0748637
"phone bill"	0.073983
"retirement plan"	0.0738809
"account statement"	0.0733892
"promissory note"	0.0728111
"Treasury bill"	0.0726334
"personal loan"	0.072572
"bank card"	0.0721106
"automated teller machine"	0.0701223
"driver's license"	0.0684533
banking	0.068309
"life insurance"	0.066009
IRA	0.0636338
"bank statement"	0.0635955
insurance	0.0624101
alimony	0.0623773
"money order"	0.0610867
postage	0.0609082
paycheck	0.0606472
"line of credit"	0.0588559
"bond fund"	0.0585299
"long-distance call"	0.058519
"automatic teller machine"	0.0583146
"Roth IRA"	0.0581773
"insurance policy"	0.0581488
"phone service"	0.0576348
portfolio	0.0575192
"telephone service"	0.0572114
coffer	0.0549436
"local call"	0.0540772
"trust account"	0.0539021
subscription	0.0531849
"calling card"	0.0523769
"Social Security benefit"	0.051989
"deposit box"	0.0507355
"pension fund"	0.0507034
pension	0.0506972
"medicine cabinet"	0.0506039
warranty	0.0504707
lending	0.0503145
wallet	0.050006
refund	0.0496384
"capital gain"	0.0484415
Tuition	0.0482813
"credit report"	0.0479499
"income tax"	0.047862
"CD player"	0.0473567
"Social Security number"	0.0470891
"medical bill"	0.0470727
K	0.0469505
certificate	0.0467665
"gross income"	0.0462363
"child support"	0.0462259
grocery	0.0453009
"prescription medicine"	0.0449521
pushcart	0.044769
"computer equipment"	0.0446491
"septic tank"	0.0441323
DSL	0.0438319
ID	0.0435607
forwarding	0.0434685
deduction	0.0433885
"reserve fund"	0.043282
"round-trip ticket"	0.0431144
borrowing	0.0429583
"Roth IRAs"	0.0427998
depositor	0.0426869
"glove compartment"	0.0426548
"computer store"	0.0425003
prescription	0.0424621
"piggy bank"	0.0423462
"legal fee"	0.0422134
pocketbook	0.0421801
"property tax"	0.0421651
"tax bill"	0.0420598
brokerage	0.0419202
lodging	0.0418946
"plane ticket"	0.041752
"fishing license"	0.0412456
"Syrian Golan Heights"	0.0411467
"Treasury note"	0.0410309
mailbox	0.0409432
"letter of credit"	0.0408987
"retirement benefit"	0.0408445
restitution	0.0405988
voucher	0.0405918
"market order"	0.0405597
"dental care"	0.0405549
"current account"	0.0404924
"credit union"	0.0401827
"card holder"	0.0401541
gratuity	0.0400886
"order book"	0.0400185
))
(checklist (desc 8274.04) (sims
quiz	0.0790261
worksheet	0.0755355
glossary	0.0738108
summary	0.0731323
"application form"	0.0729098
questionnaire	0.0728486
litany	0.0718284
"medical exam"	0.0716334
synopsis	0.0711498
"road map"	0.0702972
foretaste	0.0686925
chronology	0.0682602
"medical examination"	0.0649682
itinerary	0.0632812
primer	0.0625848
brochure	0.062019
Diagram	0.0617882
"reference book"	0.0615183
"tool kit"	0.0612375
manual	0.0598554
tutorial	0.0592557
timeline	0.0592367
assessment	0.0585941
menu	0.0583462
"medical checkup"	0.057931
horoscope	0.0577925
spiel	0.0574051
guideline	0.0564768
checkup	0.0560581
"contingency plan"	0.0559825
"sum total"	0.0546554
"order form"	0.0546251
handbook	0.0545426
"point system"	0.0545284
listing	0.0544811
overview	0.0544569
"financial statement"	0.0540275
"utility program"	0.0539548
"tax form"	0.0539463
bulletin	0.0539457
explanation	0.0538368
evaluation	0.0536772
specification	0.0532321
description	0.0531646
rundown	0.053148
documentation	0.0530446
Compendium	0.0525415
info	0.0524043
prospectus	0.0524004
blueprint	0.0523544
"report card"	0.0513611
"monitoring program"	0.0510459
"rule of thumb"	0.0509333
database	0.0509299
graph	0.0507044
"medical check-up"	0.0500592
"weather forecast"	0.0500037
regimen	0.04976
printout	0.0497177
paperwork	0.0496649
booklet	0.0493461
dossier	0.0492532
audit	0.0492401
calculator	0.0489256
template	0.048808
inkling	0.0486396
"reference work"	0.0486036
recap	0.0485956
"plan of action"	0.0485734
"legal document"	0.0485542
syllabus	0.0485145
kit	0.0483335
"medical record"	0.048143
"instruction manual"	0.0481292
"credit report"	0.0480842
"education program"	0.0478789
guidebook	0.0477963
"medical report"	0.0477378
methodology	0.0477209
fulfilment	0.0474879
Roundup	0.0472541
spreadsheet	0.0471631
"health check"	0.0470417
scad	0.0469625
playlist	0.0468667
"training program"	0.0468482
debriefing	0.0466668
rehash	0.046648
airdrop	0.046645
"personal business"	0.0466068
criteria	0.0465918
calendar	0.0464742
"game plan"	0.0464146
spacewalks	0.0464046
directory	0.0463856
"medical history"	0.0463588
pamphlet	0.0461209
errand	0.0461046
"safety feature"	0.0459991
"compensation package"	0.045988
portent	0.0459822
identifier	0.0459756
curriculum	0.0459595
appraisal	0.0458965
"employment contract"	0.0458646
Atlas	0.0458575
"surveillance system"	0.0458484
guidepost	0.0457807
"line of products"	0.0457046
homepage	0.0456515
"communication system"	0.0453106
clarification	0.0452303
"phone number"	0.0451875
databank	0.0451241
autopsy	0.0451197
readout	0.0449884
"tax return"	0.0449682
prosthesis	0.0448052
summation	0.0447558
"breathing room"	0.0446453
scorecard	0.0446057
"business plan"	0.0445309
plethora	0.044408
"Lahore Declaration"	0.044314
"margin call"	0.0442395
simplest	0.0441872
"master plan"	0.0441152
"progress report"	0.0439739
"phone book"	0.0437171
reiteration	0.0436833
mishmash	0.0436826
revision	0.0436166
workbook	0.043518
stats	0.0435157
Encyclopedia	0.0435029
"rating system"	0.0433398
clearinghouse	0.0432927
directive	0.0432763
iteration	0.0432284
manifesto	0.0431794
memo	0.0431771
"Revised Version"	0.0431476
"telephone number"	0.0430173
analyses	0.0428706
"tape recording"	0.0428028
"two words"	0.0427538
"Strategic Petroleum Reserve"	0.0426232
"rehabilitation program"	0.0425518
"short list"	0.0424998
catalog	0.0424382
sampling	0.0424204
walk-through	0.0424111
"word of advice"	0.0424017
POTPOURRI	0.0422242
refurbishment	0.0421503
dictionary	0.0421113
"software package"	0.0419837
"birthday card"	0.0419675
ultrasound	0.0419344
advisories	0.0419323
floppy	0.0419263
"early warning system"	0.0418867
"frame of reference"	0.0418693
definition	0.0418284
"Bill of Rights"	0.0418004
critique	0.0417469
"safety valve"	0.041594
"hot line"	0.0414488
textbook	0.0414396
alibi	0.0413816
benediction	0.0413516
diary	0.0413216
calculation	0.0412544
"insurance policy"	0.0411191
certificate	0.0410177
"guardian angel"	0.0408978
"information service"	0.0408971
catharsis	0.0408911
bookshelf	0.0408736
mammogram	0.0408554
excerpt	0.0408491
"surgical procedure"	0.0406806
myriad	0.0405529
packet	0.0405317
inventory	0.040512
transcript	0.0404913
"name and address"	0.0404409
"test data"	0.0403292
wording	0.0402664
ration	0.0401931
"secret plan"	0.0401373
"income tax return"	0.0401174
parameter	0.0401163
reconfiguration	0.0400402
))
(checkout (desc 3509.75) (sims
deli	0.102749
CT	0.088487
"Ron Burkle"	0.0792748
"grocery store"	0.0747823
"cash register"	0.0732932
"magnetic resonance imaging"	0.0732601
cashier	0.0715922
ultrasound	0.0707485
E-ZPass	0.0705104
"bar code"	0.068872
"inventory control"	0.0679982
"data processing"	0.0633335
parimutuel	0.0616924
chains	0.0609527
SDH	0.0607973
Safeway	0.0599626
"gas pump"	0.0592071
"convenience store"	0.0590303
Filtration	0.0568118
mutuel	0.056038
"delivery service"	0.0556668
"medical exam"	0.0556287
boarding	0.0544824
Formica	0.0535708
"radio frequency"	0.0529699
MRI	0.0526715
videophone	0.0512398
rightfield	0.0504707
detoxification	0.0504499
ISDN	0.0501747
"other @@@"	0.0483144
overdraft	0.0472063
"two to four"	0.0467742
drugstore	0.0467079
"hardware store"	0.0466933
triage	0.0464307
Publix	0.0461648
"Radio Shack"	0.0458007
"medical examination"	0.0457177
conveyor	0.0455454
mammography	0.0451875
"Cliffs Notes"	0.0450589
tabulation	0.0449828
"X-ray machine"	0.0448023
"discount store"	0.0443418
leftfield	0.0440359
switchboard	0.0437468
self-service	0.0434091
delicatessen	0.0432455
"central heating"	0.0430916
fingerprinting	0.0430595
imaging	0.0429813
"data entry"	0.0427299
EKG	0.0427183
polygraph	0.042563
"delivery truck"	0.0424905
two-step	0.0423802
decontamination	0.042062
refreshment	0.0419198
sonar	0.0414936
"telephone exchange"	0.041389
"pet food"	0.0410777
DMV	0.0410666
Tram	0.0406405
piloting	0.0402606
"back office"	0.040005
))
(checkpoint (desc 44352.2) (sims
roadblock	0.217407
crossing	0.148024
patrol	0.127552
outpost	0.127297
barricade	0.123546
village	0.117598
border	0.113721
"police station"	0.11138
airport	0.106911
gate	0.105767
"polling station"	0.105531
"army base"	0.105367
intersection	0.105349
"port of entry"	0.102115
junction	0.0973199
depot	0.0971524
barrack	0.0970907
station	0.0904207
camp	0.0903771
"observation post"	0.0888786
post	0.0866807
embassy	0.084417
port	0.0839289
convoy	0.0832841
"bus stop"	0.0828353
"railway station"	0.0823906
"military post"	0.0791839
road	0.0791589
"air base"	0.0784219
cordon	0.0781962
"bus station"	0.0775265
bridge	0.0773241
Erez	0.0772521
town	0.0768012
"military position"	0.0765193
entrance	0.076101
headquarter	0.0757239
barrier	0.0755731
"polling place"	0.075053
highway	0.074515
building	0.0743541
seaport	0.0740697
encampment	0.0738724
airfield	0.0737645
"gas station"	0.0727703
fence	0.0723931
compound	0.0719032
"command post"	0.0718607
airstrip	0.0715726
blockade	0.070798
"security force"	0.0706958
troop	0.0706705
"traffic light"	0.070409
civilian	0.0702449
"polling booth"	0.0700719
consulate	0.0697061
hotel	0.0696966
policemen	0.0695089
mosque	0.0691425
zone	0.0688395
clinic	0.0686982
facility	0.0685653
stronghold	0.0685485
residence	0.0684815
soldier	0.0682547
"military installation"	0.0677732
terminal	0.0674981
office	0.0674621
"police headquarters"	0.0672868
traffic	0.0672845
tunnel	0.0671934
bunker	0.0668543
"toll plaza"	0.0667916
police	0.0666121
"power station"	0.0659386
prison	0.0658637
location	0.0652402
hideout	0.0648726
palace	0.0641082
hospital	0.0635116
"industrial park"	0.0632908
garrison	0.0632855
enclave	0.0632458
Warehouse	0.0632336
cemetery	0.0627006
courthouse	0.0621798
"main road"	0.0621269
"military headquarters"	0.061899
"U.S. Embassy"	0.0617772
mine	0.0603153
shop	0.0602897
factory	0.0602248
park	0.0600018
bus	0.05995
booth	0.0594102
corridor	0.0593979
dormitory	0.059368
ambush	0.0592919
"train station"	0.0591979
"parking lot"	0.058472
farm	0.0579196
patrolling	0.057898
Tower	0.0576707
"post office"	0.0574535
gunpoint	0.0572448
cafe	0.0569163
restaurant	0.0566656
route	0.0564949
dam	0.056311
detector	0.0562961
dock	0.0562852
square	0.0560861
peacekeeper	0.0560811
tent	0.0560432
"land mine"	0.0557442
settlement	0.0553927
security	0.0553907
resort	0.055279
detachment	0.0552331
lane	0.0549936
"red light"	0.0549229
kiosk	0.0549178
"power plant"	0.0549166
complex	0.0548726
vehicle	0.0548344
"diplomatic mission"	0.0545862
refinery	0.0545718
militant	0.0543485
"barbed wire"	0.0541583
airbase	0.0540636
ranch	0.0538071
unit	0.0536436
"city hall"	0.0535705
rebel	0.05354
hilltop	0.0533052
mountain	0.0530777
runway	0.0528468
installation	0.0527111
helicopter	0.0527069
fighting	0.0526889
harbor	0.0525761
"military unit"	0.052549
demonstrator	0.0525166
officer	0.0524796
villager	0.0523685
street	0.0518455
Monastery	0.0518358
territory	0.0516856
mill	0.0515778
custom	0.0515636
guerrilla	0.0514849
airspace	0.0513226
shrine	0.0512977
crossroad	0.0511413
shelter	0.0511399
"petrol station"	0.0510668
"shopping center"	0.0509323
"oil refinery"	0.0508309
campground	0.0507184
monument	0.0505902
Grave	0.050507
GMT	0.0502842
gunmen	0.0501916
door	0.0501143
"police force"	0.0500962
"filling station"	0.0499843
tomb	0.0499318
branch	0.0498906
hangar	0.0498802
"telephone line"	0.0498325
"supply route"	0.049721
truck	0.0497097
synagogue	0.0496537
"front door"	0.0495533
Customs	0.0495402
railway	0.049489
"field hospital"	0.0492891
fortification	0.0492647
plaza	0.0490998
centre	0.0488824
boundary	0.0488579
trench	0.0486641
protester	0.0485409
jail	0.048527
"military vehicle"	0.0484684
"traffic jam"	0.0484674
van	0.0483105
garage	0.0482759
congestion	0.0482487
motel	0.048206
morgue	0.0481428
venue	0.0479533
temple	0.0478392
stadium	0.047595
"office building"	0.0475408
"shopping mall"	0.0475303
hill	0.047481
mansion	0.0473525
beach	0.0473124
hut	0.0470669
))
(checkup (desc 13480.8) (sims
"medical check-up"	0.191138
"medical checkup"	0.186372
"medical examination"	0.155523
mammograms	0.153204
examination	0.137574
Exam	0.12529
mammogram	0.123863
screening	0.116751
"blood test"	0.112264
"health check"	0.11128
"medical exam"	0.106637
scan	0.106171
MRI	0.105447
x-ray	0.104691
testing	0.102062
vaccination	0.101753
immunization	0.0979476
evaluation	0.0959036
treatment	0.0950698
counseling	0.0923303
audit	0.0914627
inspection	0.0903034
autopsy	0.0882642
biopsy	0.0877039
surgery	0.0875369
hospitalization	0.0872664
physicals	0.0855099
"medical care"	0.0797654
care	0.0760321
mammography	0.0759642
massage	0.0747693
electrocardiogram	0.0737766
therapy	0.0732336
self-examination	0.0718594
diagnosis	0.0717468
facelift	0.0713557
consultation	0.0706312
maintenance	0.0701185
ultrasound	0.0698302
radiotherapy	0.0696781
medication	0.0695674
"dental care"	0.0695111
Inoculation	0.069336
"surgical procedure"	0.068939
excavation	0.0688401
appraisal	0.0688263
"physical therapy"	0.0684774
smear	0.0678199
cleaning	0.0676124
"report card"	0.0674738
repair	0.0672588
"magnetic resonance imaging"	0.0667695
"military drill"	0.0658391
redesign	0.0655009
"blood transfusion"	0.0643016
transplant	0.0639914
"background check"	0.0639127
"fire drill"	0.0631785
procedure	0.0625458
assessment	0.061737
"progress report"	0.061406
chemotherapy	0.0613789
rehabilitation	0.0607582
verification	0.0603548
detoxification	0.0599057
"face lift"	0.0597166
cleanup	0.0597123
debriefing	0.0596505
"plastic surgery"	0.059636
tune-up	0.0594663
"space walk"	0.0588041
"training program"	0.0587118
audition	0.058601
dialysis	0.0571148
revaluation	0.0562017
checklist	0.0560581
checking	0.0558148
overhaul	0.0557181
medical	0.0555618
"health service"	0.0555605
"rehabilitation program"	0.0553976
"military training"	0.0551784
observation	0.0546289
walk-through	0.054423
upkeep	0.0543584
"day of rest"	0.0541622
psychotherapy	0.0539742
briefing	0.0536913
supervision	0.0533924
"day care"	0.0532821
makeover	0.0530895
quarantine	0.0527296
"nursing care"	0.0527111
"educational activity"	0.052636
"health care"	0.0526197
interrogation	0.0524624
tutoring	0.0524568
census	0.0521369
"fire sale"	0.0519182
sterilization	0.0519122
retraining	0.051309
clinic	0.0512163
"education program"	0.0511266
registration	0.0511254
visitation	0.0510843
warranty	0.0509215
"test drive"	0.0508319
renovation	0.050679
"child care"	0.0503794
stays	0.0503554
"tour of duty"	0.0503477
recuperation	0.0501577
"garbage collection"	0.0501399
contraceptive	0.0499997
analysis	0.0497667
"hospital care"	0.0497428
"first aid"	0.0496072
"refresher course"	0.0494938
surveillance	0.0494614
perusal	0.0493508
ailment	0.0492925
internship	0.0491597
facial	0.0491464
angioplasty	0.049055
delivery	0.0488823
circumcision	0.0488726
tryout	0.048519
"medical aid"	0.0485182
"head count"	0.0485012
reevaluation	0.0483777
"admission price"	0.0483453
workout	0.0483358
C-section	0.0481964
validation	0.0481761
transplantation	0.0479431
spacewalk	0.0478984
seminar	0.0478287
"legal representation"	0.0477448
makeovers	0.0477186
reshuffle	0.0476081
lecture	0.0473367
"educational program"	0.0472459
"work stoppage"	0.0471718
reassessment	0.04694
reconfiguration	0.0467283
transfusion	0.0467049
follow-up	0.0466811
"monitoring program"	0.0466287
sanitation	0.0465368
"road show"	0.0465012
"Christmas present"	0.0464398
detection	0.0464061
exhumation	0.0463863
reinsurance	0.0461936
nutrition	0.0459828
manicure	0.0459334
"benefit concert"	0.045627
regimen	0.0456126
"caesarean section"	0.0455752
"vocational training"	0.0453207
adjustment	0.0451345
acupuncture	0.0450926
"prescription drug"	0.0449722
apprenticeship	0.0449214
babysitting	0.0449009
schooling	0.0447934
kit	0.0446506
"hearing aid"	0.0445834
"practice session"	0.0444217
appointment	0.0443244
shutdown	0.0442575
authentication	0.0439693
decontamination	0.0439553
stoppage	0.0439101
"round of golf"	0.0437826
"death rate"	0.043596
dermatology	0.0435856
soaking	0.0434383
CPR	0.0434183
revision	0.0434146
monitoring	0.043277
"fund-raising campaign"	0.0432761
overview	0.0432475
residency	0.042885
referral	0.0428026
lodging	0.0427946
"jam session"	0.0427529
distribution	0.0427422
measurement	0.0427187
haircut	0.0426723
nursing	0.0425929
paperwork	0.042493
minicamp	0.0424683
illness	0.0424577
"transition period"	0.0423701
"social insurance"	0.0423633
repayment	0.0423004
"nuclear explosion"	0.0422507
spacewalks	0.0420996
"council meeting"	0.0420538
))
(Checo (desc 767.086) (sims
D'Amico	0.260068
Perisho	0.257421
Mahomes	0.250573
Schoeneweis	0.234096
Herges	0.218765
Borbon	0.216882
Eldred	0.216824
Suppan	0.215558
Rusch	0.211413
Candiotti	0.206976
Etherton	0.20558
Burba	0.197861
Reynoso	0.197717
Gagne	0.192344
Dotel	0.191912
Grimsley	0.190356
Halama	0.189785
Petkovsek	0.185627
Bottenfield	0.184728
Wohlers	0.182996
Heredia	0.182415
Hermanson	0.182403
Burkett	0.18231
Pavano	0.1806
Bohanon	0.178607
Fassero	0.177839
Appier	0.175273
Dempster	0.17312
Meche	0.172721
Schourek	0.170599
Daal	0.169163
Belcher	0.168876
Loaiza	0.167736
"Russ Ortiz"	0.165606
Cormier	0.16477
Tomko	0.164705
Dreifort	0.164262
Elarton	0.162771
Radke	0.162137
Hentgen	0.161857
Millwood	0.161538
Bere	0.161035
Helling	0.160814
Osuna	0.160597
Trachsel	0.158134
Mlicki	0.156012
"Woody Williams"	0.155745
"John Snyder"	0.154203
Benes	0.153686
"Eric Milton"	0.153127
Olivares	0.152591
"Jamey Wright"	0.152187
"Scott Karl"	0.149493
"first pitcher"	0.14862
Mulholland	0.147161
Kile	0.147107
"Russ Springer"	0.146852
Ankiel	0.146723
Astacio	0.146622
Sasaki	0.145841
"Robb Nen"	0.14507
Yarnall	0.144746
Nomo	0.144609
Yoshii	0.144055
Mercker	0.143232
Tapani	0.142816
Gooden	0.141922
Wasdin	0.141218
"Paul Shuey"	0.140711
Ortiz	0.140689
Neagle	0.140001
Washburn	0.139979
Langston	0.139973
"Kirk Rueter"	0.139575
Rueter	0.139406
"Jesus Sanchez"	0.139316
"three pitchers"	0.13907
Masaoka	0.138164
Irabu	0.137389
Parris	0.137197
"Brian Moehler"	0.137169
Harnisch	0.137161
"BRIAN MEADOWS"	0.135691
"Jason Christiansen"	0.135417
Guzman	0.135242
"Chris Carpenter"	0.134833
"Jon Lieber"	0.134658
Lieber	0.134533
Mussina	0.13429
Stottlemyre	0.134216
Smoltz	0.13343
Hershiser	0.133028
"Randy Myers"	0.133024
"Matt Mantei"	0.132899
"Rick Aguilera"	0.132892
Arrojo	0.132748
"Scott Radinsky"	0.132685
"Jeff Weaver"	0.132231
"Todd Jones"	0.132204
Glynn	0.131955
"Kevin Tapani"	0.131907
Mantei	0.131896
McDOWELL	0.131773
Nagy	0.130732
"John Burkett"	0.130379
"Bryce Florie"	0.128475
"Alex Fernandez"	0.127882
"Javier Vazquez"	0.127747
Leiter	0.127404
Valdes	0.126802
"Dustin Hermanson"	0.126122
"Jason Schmidt"	0.125988
Isringhausen	0.125622
"Dan Miceli"	0.125509
Wakefield	0.125322
"Rich Garces"	0.124994
Remlinger	0.123935
"Byung-Hyun Kim"	0.123912
"Mike Sirotka"	0.123726
Contreras	0.123676
Benitez	0.123645
Cordova	0.123443
"Terry Mulholland"	0.123431
"Mike Remlinger"	0.123263
Cloude	0.123238
Ligtenberg	0.122982
Nen	0.122814
Saberhagen	0.122647
"Jason Bere"	0.122335
Koufax	0.12218
"DOUG JONES"	0.122124
"Mark Petkovsek"	0.122096
"Pat Rapp"	0.121739
Counsell	0.121179
"two pitchers"	0.121048
"Mike Stanton"	0.1204
"Jesse Orosco"	0.120116
"Greg Swindell"	0.119938
"Brian Bohanon"	0.119822
Pulsipher	0.119431
"Steve Sparks"	0.119374
Percival	0.118036
"Terry Adams"	0.117208
"Kevin Appier"	0.116763
"Ramon Martinez"	0.116729
Moyer	0.116387
"Ken Hill"	0.11615
Vazquez	0.115671
"Rick Reed"	0.115381
"Mike Timlin"	0.115347
Garces	0.115278
Wetteland	0.115247
"Doug Henry"	0.114801
"Armando Reynoso"	0.11478
"Tim Belcher"	0.114309
"Carlos Perez"	0.114305
"Greg McMichael"	0.114158
"Danny Graves"	0.113987
"Bret Saberhagen"	0.113916
"Gregg Olson"	0.113543
"Pat Mahomes"	0.113373
Stephenson	0.113243
fetter	0.112978
"Brad Radke"	0.112778
"Jeff Fassero"	0.112764
Radinsky	0.112354
Moehler	0.112083
Escobar	0.111682
right-hander	0.111636
"Mark Wohlers"	0.111344
Mendoza	0.111269
"Andy Benes"	0.111031
"Jose Mesa"	0.109578
"Scott Williamson"	0.109468
"Paul Abbott"	0.109384
"Ramon Ortiz"	0.108859
Sele	0.108737
"Mark Guthrie"	0.108639
"Dave Mlicki"	0.108634
Woodard	0.108608
Crabtree	0.10847
"Jamie Moyer"	0.108253
"Tom Candiotti"	0.107882
"Matt Morris"	0.107866
"Rick White"	0.107811
Ftorek	0.107782
"Paul Byrd"	0.107359
Brogna	0.107196
"Hideo Nomo"	0.107027
"Steve Parris"	0.106972
"Pete Harnisch"	0.106902
Cordero	0.106887
"STEVE WOODARD"	0.106716
"Jim Parque"	0.106697
Pena	0.106422
"Todd Stottlemyre"	0.106244
knuckleballer	0.106225
"Chuck Finley"	0.105879
"Doug Pederson"	0.105356
Zito	0.105171
"Kazuhiro Sasaki"	0.105101
"Mark Langston"	0.105067
"Francisco Cordova"	0.104988
Nevin	0.10478
"Dennis Cook"	0.104754
"Ken Cloude"	0.103654
"Rod Beck"	0.103533
"Kerry Wood"	0.103323
"Scott Schoeneweis"	0.103065
"Ryan Dempster"	0.102605
"Bartolo Colon"	0.10244
"Alan Embree"	0.102199
"Darren Oliver"	0.102013
Swindell	0.101802
"Steve Avery"	0.101603
"Jose Paniagua"	0.101351
DeShields	0.10124
Seanez	0.100987
Glavine	0.100742
"Kent Bottenfield"	0.100704
"Jay Powell"	0.10069
"Brad Penny"	0.100642
Burnitz	0.100633
"Mark Portugal"	0.100268
Avery	0.100266
Chouinard	0.100257
))
(Cheddar (desc 4378.26) (sims
"cheddar cheese"	0.241714
Parmesan	0.196446
mozzarella	0.194125
cheese	0.178695
Parmigiano-Reggiano	0.152827
brie	0.144129
Gorgonzola	0.142006
"Swiss cheese"	0.134616
"blue cheese"	0.133706
"goat cheese"	0.12906
Roquefort	0.122959
onion	0.114521
"sour cream"	0.1118
cucumber	0.110373
ricotta	0.108788
FETA	0.108304
sausage	0.105573
carrot	0.104199
"tomato sauce"	0.103244
prosciutto	0.101821
sauerkraut	0.101356
pancetta	0.101099
salami	0.0991877
Basil	0.099103
lettuce	0.0971514
"chocolate mousse"	0.0964816
ham	0.0936309
"cream cheese"	0.0936229
mayonnaise	0.0933359
cabbage	0.0926041
arugula	0.0918648
bacon	0.0917783
guacamole	0.0907689
romano	0.0897475
chevre	0.0895487
yogurt	0.0895362
zucchini	0.0887791
"lemon peel"	0.088527
mushroom	0.0885257
chilies	0.0884764
crumb	0.0876878
coconut	0.0864558
"pine nut"	0.0858148
beet	0.0852728
spinach	0.0846933
cilantro	0.0840722
polenta	0.0840652
tomato	0.0836777
mustard	0.0831423
nutmeg	0.0830254
"red onion"	0.0829771
meatball	0.082172
"red pepper"	0.0818911
curd	0.0814804
"lemon zest"	0.0809479
"peanut butter"	0.0809301
scallion	0.0795464
pepper	0.0794176
eggplant	0.0794108
tortilla	0.0788379
"orange peel"	0.078712
"corned beef"	0.0786256
horseradish	0.0782977
radish	0.0779531
butter	0.0777073
"cottage cheese"	0.0775509
"cold cuts"	0.0771872
"iceberg lettuce"	0.0771459
macaroni	0.0770224
salsa	0.0767805
chutney	0.075661
potato	0.0754415
croutons	0.0753375
buttermilk	0.0750534
Garlic	0.0743008
breadcrumb	0.0738158
ginger	0.0736423
"green onion"	0.0735555
"heavy cream"	0.0733344
"roast beef"	0.0731737
cauliflower	0.0729377
truffle	0.072724
"green pepper"	0.0727238
bread	0.0717368
"smoked salmon"	0.0717123
florets	0.071132
asparagus	0.0709011
"chicken salad"	0.0708753
vinegar	0.0707345
jelly	0.0704801
walnut	0.0703564
pea	0.0701408
Chili	0.0699685
cornmeal	0.0699373
radicchio	0.0697778
pickle	0.0696957
pineapple	0.0693733
"pork tenderloin"	0.0693347
noodle	0.0690139
"orange zest"	0.068734
"milk chocolate"	0.0686302
avocado	0.0679055
bratwurst	0.0675443
"maple syrup"	0.06715
chocolate	0.0669125
olive	0.0667884
parsley	0.0666289
chive	0.0664376
"beef tenderloin"	0.0664108
tofu	0.0658941
"hot sauce"	0.0657145
"black olive"	0.0650068
"olive oil"	0.0648597
plantain	0.0648406
marshmallow	0.0645936
chiles	0.0643733
pecan	0.0643277
miso	0.0638727
celery	0.0636027
"lemon juice"	0.0633728
Or	0.0633238
"whipping cream"	0.0632774
"evaporated milk"	0.0626061
rind	0.0624152
"scrambled egg"	0.062373
"bittersweet chocolate"	0.0621832
Broccoli	0.0619841
"foie gras"	0.0619317
chorizo	0.0618991
focaccia	0.0617278
salad	0.0610493
pasta	0.0610128
"green bean"	0.0605542
shrimp	0.0605001
slaw	0.0602727
half-and-half	0.0596469
sherry	0.059039
"egg yolk"	0.0589897
"red wine"	0.0587993
"chicken breast"	0.0587935
"chili powder"	0.0587421
nacho	0.0586673
romaine	0.0586022
cayenne	0.0584902
raisin	0.058208
"whipped cream"	0.0581984
veggie	0.0578883
Beaujolais	0.0577879
"ice cream"	0.0577707
porcini	0.0576584
"water chestnut"	0.0576233
margarine	0.0575436
baguette	0.0575152
shallot	0.056994
"bell pepper"	0.0564862
hazelnut	0.0560009
baloney	0.0556471
"lime juice"	0.0554772
"orange juice"	0.0553405
gravy	0.0553339
"barbecue sauce"	0.0545569
"dried fruit"	0.0544007
pimento	0.0543675
vodka	0.0543466
leek	0.0543073
fennel	0.0542903
pork	0.0541048
tortellini	0.0538206
pilaf	0.0536921
"sweet potato"	0.0536507
"black bean"	0.053027
chanterelle	0.0530267
blueberry	0.0530004
"chicken broth"	0.0529401
anchovy	0.0528248
"pineapple juice"	0.0522525
taco	0.0521781
veal	0.0521137
cider	0.0520397
lime	0.0515823
oleander	0.0515614
"cake mix"	0.0512068
hummus	0.0511659
"curry powder"	0.0511596
"wild rice"	0.050936
lemon	0.0508968
broth	0.0508602
matzo	0.0508111
honey	0.050751
shortening	0.0505263
raspberry	0.0505047
puree	0.0504312
almond	0.0501669
jalapeno	0.0500803
artichoke	0.0500364
vanilla	0.0499019
peanut	0.0498821
"white wine"	0.0498588
crab	0.0497502
pumpkin	0.0494603
))
("cheddar cheese" (desc 4280.79) (sims
Cheddar	0.241714
cheese	0.184523
"cream cheese"	0.17942
mozzarella	0.166828
"Swiss cheese"	0.164241
"goat cheese"	0.160861
Parmigiano-Reggiano	0.143538
zucchini	0.135143
Parmesan	0.135051
"blue cheese"	0.132706
"sour cream"	0.131981
"whipping cream"	0.131772
"orange peel"	0.130937
"heavy cream"	0.126361
onion	0.125814
half-and-half	0.123275
carrot	0.12261
cucumber	0.122449
"evaporated milk"	0.121667
FETA	0.121562
pancetta	0.119027
"chicken broth"	0.117755
"shiitake mushroom"	0.117754
"cottage cheese"	0.115547
"bittersweet chocolate"	0.114515
Or	0.113622
prosciutto	0.113153
"lemon peel"	0.11256
"snow pea"	0.112381
"pineapple juice"	0.110265
"tomato juice"	0.110202
coconut	0.110042
cabbage	0.109596
pecan	0.107718
arugula	0.105414
mayonnaise	0.103991
buttermilk	0.103889
"chicken breast"	0.103835
"beef broth"	0.103597
"red pepper"	0.10338
Basil	0.102476
lettuce	0.101469
macaroni	0.0996964
"green onion"	0.0992328
tomato	0.0967164
"red onion"	0.0957637
bacon	0.0956759
"black bean"	0.0955643
salami	0.0945964
florets	0.0931399
tortellini	0.0928256
"sweet potato"	0.0927051
crumb	0.0925782
"orange zest"	0.0922067
walnut	0.0918485
"bell pepper"	0.0916235
"smoked salmon"	0.0905565
almond	0.0903771
"macadamia nut"	0.090233
sausage	0.0895657
beet	0.0895578
mushroom	0.0887063
"peanut oil"	0.0884704
"lemon zest"	0.0877242
cilantro	0.0876352
"tortilla chip"	0.0871174
parsley	0.087097
scallion	0.0870532
chevre	0.0870376
butter	0.0865724
"coconut milk"	0.0857524
tofu	0.0855418
"maple syrup"	0.0850102
breadcrumb	0.0846857
ginger	0.0845207
"lemon juice"	0.0843035
pineapple	0.0842252
potato	0.084071
"chicken stock"	0.0835316
shallot	0.0832959
marshmallow	0.0830487
Garlic	0.082998
"tomato sauce"	0.0827029
spinach	0.0823518
yogurt	0.0823087
eggplant	0.0822523
applesauce	0.0820423
shortening	0.0819043
"brown sugar"	0.0818978
"orange juice"	0.0817481
margarine	0.0816064
"cider vinegar"	0.0814926
"peanut butter"	0.0810944
"Worcestershire sauce"	0.0807036
"green bean"	0.0806084
nutmeg	0.0797641
noodle	0.0791606
guacamole	0.0780799
flour	0.0771814
"pork loin"	0.0766322
"chili powder"	0.076222
"black olive"	0.07591
mustard	0.0755548
raisin	0.0755468
fillet	0.0753486
leek	0.0749853
"iceberg lettuce"	0.0747498
"pine nut"	0.0746438
tomatillo	0.0743392
cider	0.0736611
spaghetti	0.0734462
linguine	0.0733796
okra	0.0733728
"white wine"	0.0733388
asparagus	0.0733032
cornmeal	0.0731635
chocolate	0.072447
"skim milk"	0.0723383
ham	0.0721193
chutney	0.0720611
celery	0.0715973
paprika	0.0699202
vinegar	0.0697745
horseradish	0.0694135
"barbecue sauce"	0.0692849
pasta	0.0686147
"lime juice"	0.0684234
"corn syrup"	0.0682911
"romaine lettuce"	0.0680034
cauliflower	0.0676159
radish	0.0674334
"orange marmalade"	0.0673804
"pork tenderloin"	0.0663921
ketchup	0.0660194
molasses	0.0659111
"bok choy"	0.0657416
rind	0.0656296
"wild rice"	0.0655604
"cherry tomato"	0.0651821
brisket	0.0651569
"vegetable oil"	0.0642454
hazelnut	0.064198
romaine	0.0640409
olive	0.0637459
"beef stock"	0.0627439
Broccoli	0.0627187
"olive oil"	0.0623352
jalapeno	0.0622991
"bean sprout"	0.0620801
shrimp	0.0619749
"root beer"	0.0616521
lentil	0.061495
ricotta	0.0613218
rum	0.0611677
mango	0.06087
chanterelle	0.0606755
squash	0.0603872
"white rice"	0.0598023
"ground beef"	0.0596916
puree	0.0592887
sauerkraut	0.0586434
pork	0.0586169
panko	0.0586139
turnip	0.0585791
"garlic clove"	0.058567
watercress	0.0585065
cranberry	0.0583797
"Tabasco sauce"	0.0580624
"frozen yogurt"	0.0577627
morel	0.0576965
raspberry	0.0573835
miso	0.0572329
chive	0.0572234
lemon	0.0565402
"potato chip"	0.0565359
Chili	0.0564539
chiles	0.0563884
pesto	0.0563813
baguette	0.0563321
lard	0.0561378
"beef tenderloin"	0.0560385
Kale	0.0559044
Sorrel	0.0556434
"brussels sprout"	0.0554646
"egg yolk"	0.0548463
zest	0.0546532
"garlic salt"	0.0545211
romano	0.0541774
"egg white"	0.054067
peanut	0.0537422
liqueur	0.0534682
blueberry	0.0533474
thyme	0.0532375
mascarpone	0.0531241
steak	0.0529585
jelly	0.0529144
"salad dressing"	0.0526254
lemongrass	0.0524151
tuna	0.052327
pistachio	0.0522919
))
(chee (desc 1493.51) (sims
EE	0.13402
Yong	0.0865526
Batten	0.0859594
Ri	0.079304
Brody	0.0570526
Manbar	0.0557905
Siripongs	0.0556463
Kang	0.0553723
Valdez	0.0538476
"Kenyan Government"	0.0537387
Blackthorne	0.0526089
Koh	0.0509665
Un-yong	0.0503947
Kazhegeldin	0.0497882
Dutchmen	0.0487113
Zhong	0.0458226
Matasareanu	0.0456817
"Betty Friedan"	0.0449439
"South East Asia"	0.0446281
Golding	0.0438121
Stossel	0.0431486
Bizimungu	0.0431367
chun	0.0430877
Jovanovic	0.0428677
Tennant	0.0423941
McDonough	0.0421925
Yosef	0.0420972
Livoti	0.041888
Shulman	0.0410468
Turetzky	0.0409857
"Iranian Jews"	0.0406994
"Maturino Resendiz"	0.0406897
Montiel	0.0406381
))
(cheek (desc 27318.6) (sims
forehead	0.185571
cheekbone	0.139811
lip	0.138591
Chin	0.132372
eyelid	0.125746
nose	0.121565
chest	0.118723
nostril	0.110975
neck	0.108857
thigh	0.104455
mouth	0.103762
jaw	0.0979102
eye	0.0979069
abdomen	0.0978087
ear	0.0964497
stomach	0.0932327
brow	0.0880684
skull	0.0852888
forearm	0.0849915
throat	0.0838024
skin	0.0836248
belly	0.0829696
finger	0.0827617
shoulder	0.0810562
hair	0.0809114
tongue	0.0795601
complexion	0.0784518
leg	0.0783251
arm	0.0754903
lung	0.0734752
buttock	0.0725444
wrist	0.0719576
torso	0.0702819
teeth	0.0697053
eyebrow	0.0688383
smile	0.0686996
breast	0.0685304
goatee	0.0673624
hip	0.0656261
elbow	0.0652391
knee	0.0649699
rib	0.0645305
mustache	0.0641171
grin	0.0634653
shin	0.0626185
thumb	0.0626088
"right hand"	0.0624358
"index finger"	0.0621395
"black eye"	0.0617397
tail	0.0599765
"ring finger"	0.059934
limb	0.0585548
eardrum	0.0581685
ankle	0.0580641
pelvis	0.057744
biceps	0.0568503
brain	0.0568028
Beard	0.0565614
"left hand"	0.056136
spine	0.0553573
scalp	0.0548036
gum	0.0533563
navel	0.0522832
tummy	0.0516476
"spinal cord"	0.051166
genital	0.0509864
glass	0.0508771
lobe	0.0506285
eyeball	0.0503117
snout	0.0500936
bruise	0.0489452
eyelash	0.0489204
kneecap	0.0485714
butt	0.0484723
Foot	0.0484537
sideburn	0.0483356
armpit	0.0476571
"sore throat"	0.0472424
windshield	0.0468308
fillet	0.0465824
intestine	0.0465497
shirt	0.0463785
rump	0.0451691
fingernail	0.0446762
flesh	0.0440245
calf	0.0437983
liver	0.0434602
lipstick	0.0430947
"vocal cord"	0.0428104
"middle finger"	0.0426682
palm	0.0426403
kidney	0.042569
bone	0.0425105
sleeve	0.0421441
sunglasses	0.0421254
collarbone	0.0421076
groin	0.0419067
fist	0.0418571
waist	0.0418471
visage	0.0417594
Loin	0.0411142
Blush	0.0411019
knuckle	0.0410095
toe	0.0406949
physique	0.0400052
))
(cheekbone (desc 5695.31) (sims
"eye socket"	0.22346
kneecap	0.169534
tibia	0.161585
vertebra	0.161384
femur	0.158247
fibula	0.154733
sternum	0.149489
jaw	0.148888
"ring finger"	0.144987
collarbone	0.143855
cheek	0.139811
"shoulder blade"	0.136425
pelvis	0.133384
vertebrae	0.125619
pinkie	0.122426
eyelid	0.114049
Chin	0.112303
forehead	0.107922
brow	0.107048
rib	0.104143
nose	0.103281
forearm	0.101041
jawbone	0.100907
"index finger"	0.0988154
"little finger"	0.0987668
lip	0.0937297
eardrum	0.0918809
eyelash	0.0914942
"lower jaw"	0.0908482
"rib cage"	0.0892638
"leg bone"	0.0880138
skull	0.0879566
nostril	0.0858529
dimple	0.085282
lobe	0.0849386
shin	0.0841374
complexion	0.083412
"left hand"	0.0813478
wrist	0.0808391
freckle	0.0805097
teeth	0.0802476
hip	0.0773769
bruise	0.0758165
Tooth	0.0742675
elbow	0.0733045
thumb	0.073294
eyebrow	0.0731494
"black eye"	0.0726018
moustache	0.0725217
tongue	0.0722766
ankle	0.0722261
buttock	0.0708569
neck	0.0700962
ear	0.0696749
Pinky	0.0686733
thigh	0.0676573
larynx	0.0672408
lung	0.0660928
"right hand"	0.0660111
hairdo	0.0652181
fingernail	0.0646168
laceration	0.0641387
knuckle	0.0639599
goatee	0.063077
mustache	0.0627898
toe	0.0625967
genital	0.0623142
retina	0.0620776
sinus	0.0614216
chest	0.0612794
concussion	0.0611446
ACL	0.0610828
"sore throat"	0.0607634
gum	0.0606971
spine	0.0606005
"middle finger"	0.0604761
physique	0.0587829
biceps	0.0585199
braid	0.0581774
throat	0.0581067
abdomen	0.0572049
scalp	0.0569153
visage	0.0568014
quadriceps	0.056539
"achilles tendon"	0.0565383
torso	0.0560933
"good looks"	0.0554586
denture	0.0553675
spleen	0.0552595
limb	0.055242
triceps	0.0547013
gait	0.0538342
Gash	0.0534898
PIERCINGS	0.0529506
hairline	0.05183
flexor	0.0506551
Achilles	0.0506413
ligament	0.0504675
tendon	0.0501626
ABS	0.0494572
stomach	0.0494282
snout	0.0493211
sideburn	0.0492582
pane	0.0488205
"spinal cord"	0.0485222
"crew cut"	0.0482403
kidney	0.0481696
forefinger	0.0479722
navel	0.0477384
abrasion	0.0475563
armpit	0.0475351
Beard	0.0471571
hernia	0.0470001
cuff	0.0469926
waist	0.046899
jaws	0.0468761
dreadlocks	0.0463615
testicle	0.0463067
eyeliner	0.0460783
nerve	0.0458757
groin	0.045547
hamstring	0.0453015
"nose ring"	0.0451656
cartilage	0.0450674
whisker	0.0449983
capillary	0.0449536
eyeball	0.0448722
"skin cancer"	0.0442031
coughing	0.0441661
sunglasses	0.0439179
lipstick	0.0434241
windscreen	0.0434097
phrasing	0.0428412
contusion	0.0426575
nosebleed	0.0423985
"stage name"	0.042204
nipple	0.0420223
"sense of humor"	0.0419086
bustier	0.0418539
paw	0.0416214
intestine	0.0413761
labrum	0.0413463
socket	0.0413044
windshield	0.0410386
cornea	0.0410241
diaphragm	0.0401746
))
(cheer (desc 37959.8) (sims
applause	0.277039
ovation	0.215832
boo	0.206035
"standing ovation"	0.190151
shout	0.176704
laughter	0.171005
jeer	0.170553
chant	0.166167
roar	0.166131
whoop	0.154463
catcall	0.140048
groan	0.123001
gasp	0.103514
taunt	0.102316
cry	0.100237
laugh	0.0983869
scream	0.0954596
whistle	0.0913193
shriek	0.0907625
enthusiasm	0.0893761
chorus	0.0890768
Hug	0.0863175
howl	0.0841532
chuckle	0.0836468
murmur	0.0832281
excitement	0.081821
noise	0.0812443
giggle	0.0806434
smile	0.0801195
YAWN	0.0766466
adulation	0.0765164
sigh	0.0748812
sob	0.074348
crowd	0.0742654
joy	0.0731655
tear	0.0724787
hoot	0.0724132
emotion	0.071871
acclaim	0.0717756
firework	0.0713359
guffaw	0.0710984
anger	0.0700964
outpouring	0.0699011
derision	0.0698338
amen	0.0695137
throng	0.069097
reaction	0.0664475
clapping	0.06445
sendoff	0.0641576
outrage	0.0638776
salute	0.0638539
delight	0.0634844
hiss	0.063416
reception	0.0632829
wail	0.0631164
sympathy	0.0625145
gunfire	0.0624435
accolade	0.0622767
burst	0.0617541
buzz	0.0604868
outcry	0.0599807
silence	0.0598759
protest	0.059752
criticism	0.0597047
optimism	0.0596267
celebration	0.0586437
Song	0.0585457
confetti	0.0580333
encouragement	0.0578676
send-off	0.0577362
high-fives	0.0574657
chanting	0.056536
frenzy	0.0563406
gunshot	0.056274
attention	0.0560871
fury	0.0556518
greeting	0.0555874
passion	0.0554036
handshake	0.0552272
admiration	0.0550628
warmth	0.0550601
affection	0.0550052
prayer	0.0548809
skepticism	0.0547271
response	0.0547184
pride	0.0541911
Frasier	0.0540723
alarm	0.053965
shouting	0.0538815
wave	0.053634
outburst	0.0528802
voice	0.052725
adoration	0.0524994
feeling	0.0520361
Seinfeld	0.0520027
cacophony	0.0519195
euphoria	0.0517123
grief	0.0516323
panic	0.0512516
scorn	0.0508405
frustration	0.0507459
chatter	0.0506291
music	0.0502653
sadness	0.0501538
rage	0.0501342
dismay	0.0501068
fanfare	0.0496536
humor	0.0495653
rhetoric	0.0495386
disappointment	0.049121
expectation	0.0490299
drum	0.0489097
shock	0.0488798
singing	0.0488679
happiness	0.0487236
confidence	0.0486658
kiss	0.0483875
slogan	0.0481583
anxiety	0.0479837
pleasure	0.0479538
denunciation	0.0478695
compliment	0.0478675
ire	0.0478389
thud	0.0474061
spirit	0.0473438
audience	0.0472821
glee	0.047152
jubilation	0.0468922
thrill	0.0467464
condemnation	0.0467285
explosion	0.046693
sorrow	0.0466228
hostility	0.0466077
sentiment	0.0465904
gratitude	0.0464753
gesture	0.0464505
fervor	0.0462167
tenderness	0.0461403
fun	0.0457434
disbelief	0.0455921
Siren	0.0453503
grin	0.0452599
joke	0.0452128
indignation	0.0451185
"national anthem"	0.045088
parade	0.0449249
glow	0.0447242
uproar	0.044572
whisper	0.0442844
feedback	0.0442574
firecracker	0.0441885
smattering	0.0441659
banner	0.0440245
pause	0.0440197
"curtain call"	0.0439713
relief	0.0438397
headline	0.0438247
loyalty	0.0435844
endorsement	0.0433974
Din	0.0432679
elation	0.0431717
publicity	0.0431442
complaint	0.0431087
objection	0.0431001
tune	0.0430094
mood	0.0429708
glory	0.0429702
heckler	0.0429672
champagne	0.0428206
gift	0.0428051
hype	0.0428013
turnout	0.0427354
consternation	0.0427054
plea	0.0426513
satisfaction	0.0425742
awe	0.0425122
atmosphere	0.0424373
busload	0.0423647
controversy	0.0422831
pity	0.0421793
sweat	0.0421147
rhythm	0.0418526
memory	0.0418255
tone	0.0418176
thunder	0.0417993
disdain	0.0416912
charm	0.0415226
dancing	0.0414405
drama	0.0413926
curiosity	0.0413211
drumbeat	0.0412969
nostalgia	0.0412116
conversation	0.0411321
rave	0.041094
amusement	0.0407493
inspiration	0.0406008
pessimism	0.0405817
er	0.0404853
nod	0.0404455
confusion	0.0402857
))
(cheerio (desc 1958) (sims
Wheaties	0.196829
oreo	0.169167
Kleenex	0.140212
"M&AMP;Ms"	0.105658
popcorn	0.0957601
"dog food"	0.0827824
cereal	0.0810935
cracker	0.0782632
"potato chip"	0.0777963
Jell-O	0.0775784
matzo	0.0764451
oatmeal	0.0761342
Propulsid	0.0745012
"jelly bean"	0.0733165
"cat food"	0.0727078
donut	0.0724424
Twinkies	0.0709541
crayon	0.0704092
"M&AMP;M"	0.0649671
doughnut	0.0648733
Pillsbury	0.0631003
popsicle	0.0626249
gruel	0.061678
pretzel	0.0616269
"pet food"	0.0611403
"macaroni and cheese"	0.0604637
hummus	0.0603913
aperitif	0.060012
"coffee bean"	0.0596216
low-fat	0.0592355
porridge	0.0585485
"french fries"	0.0584749
Prilosec	0.0581912
"golf ball"	0.0566326
converter	0.0565396
"Thomson Multimedia"	0.0555269
"ice water"	0.0551405
noodle	0.0550282
diaper	0.0549443
"baseball card"	0.054114
"electronic equipment"	0.0537554
"white meat"	0.0537314
bran	0.0531546
"canned goods"	0.0529762
POTPOURRI	0.0527639
"canned food"	0.0525232
Avonex	0.0519948
trinket	0.0519006
videocassette	0.0517352
Claritin	0.0515357
oldies	0.0514496
"toilet paper"	0.0510763
Tamale	0.0506251
"consumer electronics"	0.0504646
ammo	0.0503631
Epogen	0.0501977
LIPITOR	0.0501957
"Chenin blanc"	0.0499681
detergent	0.0495148
macaroni	0.0492351
"sparkling wine"	0.048806
housewares	0.048777
"hand-held computer"	0.0487256
"computer hardware"	0.0485572
zillion	0.0484368
"sports equipment"	0.0482889
"oreo cookie"	0.0481975
"caller ID"	0.0480666
"Christmas gift"	0.047801
Nitro	0.0477793
"cooking oil"	0.0477626
add-on	0.0475951
"tea leaf"	0.047584
Zinfandel	0.0474195
"Beanie Babies"	0.0473461
"fruit juice"	0.0469468
Legos	0.0468365
"TV dinner"	0.0462208
margarine	0.0461709
vending	0.046047
"aircraft engine"	0.0452066
materiel	0.0449593
marbles	0.0447965
grapefruit	0.0445855
Pondimin	0.0445508
oat	0.0444198
"motor oil"	0.0443448
Taxol	0.0441055
"car insurance"	0.0438238
"tortilla chip"	0.0436358
copier	0.0436063
Myst	0.0435395
"bowling ball"	0.0434805
muffin	0.0434251
"greeting card"	0.0433513
"scrambled egg"	0.0433281
"storage device"	0.0432972
stents	0.0432091
supercomputers	0.0432042
receivables	0.0431543
"alcoholic beverage"	0.043057
"Rolls-Royce Motor Cars"	0.0430098
bagel	0.042196
Conoco	0.0421882
yearling	0.0419814
"spring water"	0.0418623
smoothie	0.0418593
ketchup	0.041855
"sweet corn"	0.0417859
gunk	0.0415252
Domino's	0.0414944
stiletto	0.0413608
"contact lense"	0.0413172
RV	0.0412086
diskette	0.0411642
"picture tube"	0.0411186
cartridge	0.0408724
subcompact	0.0408486
handset	0.0407777
styrofoam	0.0405305
Menudo	0.0404418
bouillon	0.0401985
Orangina	0.0400331
))
(cheerleader (desc 20776) (sims
mascot	0.0769754
"basketball player"	0.0741472
dancer	0.0733741
"basketball coach"	0.0728755
clown	0.0727618
"football player"	0.0726927
"football coach"	0.0704477
waitress	0.0697412
"English teacher"	0.0689445
"June Jones"	0.0685684
"baseball player"	0.0680563
bodybuilder	0.0676359
singer	0.0666653
stripper	0.0665535
"hockey player"	0.0662939
"good person"	0.0661379
overachiever	0.0655207
wrestler	0.0652645
bimbo	0.064602
girl	0.0644847
jock	0.0640948
"movie star"	0.0638412
"volleyball player"	0.0635584
biker	0.0635367
athlete	0.0629431
"young woman"	0.0620874
entertainer	0.0620015
"baseball coach"	0.0615872
comedian	0.0614221
gymnast	0.0612739
"running back"	0.0609719
drummer	0.0606635
"line coach"	0.0604471
outcast	0.0601579
musician	0.0598757
nerd	0.0597931
scout	0.0591468
hippie	0.0590292
dropout	0.058758
lineman	0.0587328
ballerina	0.0585785
"football team"	0.0585295
"rock star"	0.0585061
performer	0.057977
girlfriend	0.0579445
DJ	0.0578787
nurse	0.057674
ingenue	0.0575713
Alumni	0.057462
"altar boy"	0.057096
spectator	0.0569828
lifeguard	0.0562746
"tough guy"	0.0557441
classmate	0.0556537
grad	0.0552999
hostess	0.0551446
"math teacher"	0.0548103
schoolgirl	0.0547777
apologist	0.0546908
teenager	0.0538991
instructor	0.0538936
actor	0.0537997
juggler	0.0536173
idiot	0.0535844
quarterback	0.0533989
prostitute	0.0533575
"Roger Staubach"	0.0525653
freshman	0.052411
volunteer	0.0523466
chaperone	0.0523433
All-Americans	0.0523205
evangelist	0.0521576
"role model"	0.0517221
groupie	0.0516279
"little girl"	0.0514615
supermodel	0.0514532
"science teacher"	0.051434
assistant	0.0514055
sidekick	0.051383
"sports fan"	0.0512362
"flight attendant"	0.050958
golfer	0.0509061
swimmer	0.0508848
"track star"	0.050758
Princess	0.0507418
acrobat	0.0507387
counselor	0.050709
poet	0.050707
Olympian	0.0505663
choreographer	0.0504305
mom	0.0502848
Cop	0.0502478
violinist	0.0501686
linebacker	0.0500898
whiner	0.0500648
valedictorian	0.0500166
"graduate student"	0.0498586
senior	0.0497322
racer	0.049639
intern	0.0496246
preacher	0.0495863
matchmaker	0.0495214
photographer	0.0494554
"fashion model"	0.0492309
stewardess	0.0491592
actress	0.049141
Kicker	0.0491018
"college student"	0.049037
"best friend"	0.0489654
blonde	0.0489256
heartthrob	0.0488825
songwriter	0.0488479
"social worker"	0.0487687
choir	0.0485827
socialite	0.0485661
messenger	0.0485638
geek	0.0485092
buff	0.0482796
"good guy"	0.0482519
salesman	0.0482173
"young man"	0.0482007
soloist	0.0481461
waiter	0.0481295
superhero	0.0480884
cadet	0.0480706
seminarian	0.0478803
sophomore	0.0477761
misfit	0.0476585
"basketball team"	0.0476025
freak	0.0473658
vocalist	0.0473579
teen-ager	0.0472768
hero	0.0472527
activist	0.0471453
mentor	0.0470819
"young girl"	0.0470405
savior	0.0469333
alumnus	0.0469094
feminist	0.0469025
wallflower	0.0467036
go-between	0.0466236
puppeteer	0.0466114
groundskeeper	0.0464263
contestant	0.0462997
bully	0.0462862
junkie	0.0462093
Superman	0.0461737
speechwriter	0.0461559
All-American	0.0461255
pupil	0.0461214
magician	0.0461162
curmudgeon	0.046068
surrogate	0.0460464
"medical student"	0.0458862
housewife	0.0458524
celebrity	0.0457055
goofball	0.0456631
schoolteacher	0.0456623
principal	0.0455739
operative	0.0455707
puppet	0.0455365
maid	0.0454833
"black woman"	0.0454491
Vixen	0.0454146
sprinter	0.0453682
entrepreneur	0.0451702
brat	0.0451517
"ballet dancer"	0.0450484
pastor	0.0449105
trainer	0.0448907
buddy	0.0448794
starlet	0.0448027
missionary	0.0447469
babe	0.0446827
receiver	0.0446732
Caddy	0.0446672
basketball	0.0446376
"tight end"	0.0446199
stylist	0.0445436
motivator	0.044494
tutor	0.0444815
headmaster	0.0444738
bartender	0.0444067
grown-up	0.0444017
statesman	0.0443902
"staff member"	0.0443642
playmate	0.0442106
librarian	0.0441605
Virgin	0.044134
policeman	0.0440299
wannabe	0.0439638
transvestite	0.0439491
"eagle scout"	0.043887
All-stars	0.0438583
diva	0.0438427
punter	0.0436931
pianist	0.0436566
alum	0.0436358
disciple	0.0436339
tailback	0.0436097
))
(cheese (desc 64292.6) (sims
onion	0.269596
tomato	0.252681
butter	0.239479
"goat cheese"	0.23265
Garlic	0.225108
bread	0.222538
Parmesan	0.219197
potato	0.21902
mushroom	0.218937
"sour cream"	0.217073
mozzarella	0.216183
sausage	0.215458
parsley	0.204587
ham	0.204581
"olive oil"	0.203889
milk	0.203301
meat	0.202765
pepper	0.202616
sugar	0.201575
sauce	0.200145
yogurt	0.199407
bacon	0.199308
mayonnaise	0.198497
"cream cheese"	0.197483
pasta	0.193473
mustard	0.193456
vegetable	0.190396
chicken	0.1903
"lemon juice"	0.190156
egg	0.189806
shallot	0.1895
Basil	0.189129
cilantro	0.187801
chocolate	0.187752
flour	0.18495
"cheddar cheese"	0.184523
"blue cheese"	0.184496
vinegar	0.184132
spinach	0.182922
lettuce	0.1824
salt	0.181884
"peanut butter"	0.180523
cucumber	0.180475
"green onion"	0.17972
Cheddar	0.178695
carrot	0.175834
shrimp	0.175613
salad	0.175093
cabbage	0.173739
fruit	0.173078
celery	0.170698
pork	0.17062
"pine nut"	0.17007
"red pepper"	0.168662
crumb	0.168658
buttermilk	0.168464
olive	0.168269
bean	0.167199
scallion	0.167176
cream	0.166278
"cottage cheese"	0.16548
noodle	0.164843
raisin	0.164213
"ice cream"	0.163243
soup	0.163051
"red onion"	0.162722
tuna	0.161074
zucchini	0.159875
margarine	0.159646
"orange juice"	0.159537
salami	0.159423
avocado	0.159267
herb	0.15876
"lime juice"	0.158484
"brown sugar"	0.157731
eggplant	0.156753
ginger	0.155448
seasoning	0.155448
asparagus	0.154923
prosciutto	0.154553
beef	0.153944
"tomato sauce"	0.152828
ricotta	0.151972
juice	0.151617
almond	0.151142
tofu	0.150958
chive	0.149784
pecan	0.149708
wine	0.148998
"bell pepper"	0.148235
cake	0.148043
tortilla	0.147049
sandwich	0.146814
Chili	0.146439
lemon	0.145963
coconut	0.145757
"whipped cream"	0.144725
honey	0.144642
corn	0.143715
"soy sauce"	0.14337
walnut	0.143186
spice	0.143156
pea	0.142491
biscuit	0.142151
steak	0.142075
nut	0.141894
rice	0.141525
broth	0.140646
pineapple	0.140574
oregano	0.140508
mint	0.14017
"egg yolk"	0.140027
slice	0.139971
"white wine"	0.139851
mixture	0.139447
vanilla	0.139446
dressing	0.13928
seafood	0.137795
artichoke	0.137703
cereal	0.13651
arugula	0.135145
leek	0.134381
pancetta	0.134142
paprika	0.134116
pastry	0.133665
Broccoli	0.132586
"Swiss cheese"	0.132512
coffee	0.132241
chilies	0.131803
"coconut milk"	0.131499
pickle	0.13141
cinnamon	0.131249
salsa	0.13098
vinaigrette	0.130903
ketchup	0.130588
"dairy product"	0.130577
"sweet potato"	0.130504
cooky	0.130295
thyme	0.128965
"vegetable oil"	0.128519
chutney	0.127837
puree	0.127762
"evaporated milk"	0.127222
cumin	0.126937
peanut	0.12685
jalapeno	0.126679
fish	0.126666
"black olive"	0.126429
apple	0.12638
cracker	0.125971
fennel	0.125749
caviar	0.125421
"chicken breast"	0.124838
chiles	0.124643
radish	0.124389
pesto	0.123919
"heavy cream"	0.123887
lentil	0.123859
half-and-half	0.123081
"smoked salmon"	0.122865
banana	0.12266
dough	0.122562
"salad dressing"	0.122155
"chicken broth"	0.121454
"lemon zest"	0.12132
spaghetti	0.121098
fraiche	0.120927
beet	0.120927
candy	0.120837
mango	0.120787
"egg white"	0.120598
"chicken stock"	0.12039
horseradish	0.120256
truffle	0.119583
"hot dog"	0.119576
cornmeal	0.119373
pizza	0.118944
brie	0.118196
"green bean"	0.118099
jelly	0.117799
"red wine"	0.117399
FETA	0.117069
salmon	0.11706
"black bean"	0.117045
Topping	0.116979
dill	0.116148
Liquid	0.116052
pie	0.11601
macaroni	0.115744
veggie	0.115455
paste	0.115247
"foie gras"	0.115186
"roast beef"	0.114982
lamb	0.114666
tarragon	0.114658
powder	0.114656
"chili powder"	0.114209
nutmeg	0.113975
"tomato paste"	0.113951
Pudding	0.113924
dessert	0.113703
rosemary	0.113177
peach	0.11284
Beer	0.112717
custard	0.112683
raspberry	0.112432
"sesame seed"	0.112373
caper	0.11222
strawberry	0.111951
polenta	0.111677
anchovy	0.111601
melon	0.111495
pumpkin	0.11131
berry	0.111094
"fruit juice"	0.111053
"green pepper"	0.110342
"cold cuts"	0.110169
filling	0.109805
food	0.109662
"bay leaf"	0.109643
syrup	0.109463
"Worcestershire sauce"	0.109041
"ground beef"	0.109007
marshmallow	0.10829
tea	0.108244
crust	0.108046
molasses	0.107458
Gorgonzola	0.107444
dish	0.107378
oil	0.10727
"orange zest"	0.10647
cauliflower	0.105739
gravy	0.105611
lime	0.105405
flake	0.105067
"black pepper"	0.104597
"maple syrup"	0.103403
ingredient	0.103133
oyster	0.10302
plantain	0.102364
squash	0.102028
fig	0.102006
"tomato juice"	0.10166
grape	0.101622
leaf	0.101619
croutons	0.101518
"potato chip"	0.101433
cornstarch	0.101045
poultry	0.100736
stew	0.100629
pear	0.100544
cookie	0.100482
"dried fruit"	0.100196
watercress	0.100145
))
(cheeseburger (desc 6105.92) (sims
Hamburger	0.206625
"french fries"	0.188385
burger	0.166925
burgers	0.166576
"hot dog"	0.150938
"chicken wing"	0.147391
milkshake	0.14184
"chicken sandwich"	0.13911
sandwich	0.129829
Burrito	0.119865
pizza	0.117092
steak	0.115028
bratwurst	0.108813
sausage	0.105936
"Caesar salad"	0.105125
taco	0.10109
bagel	0.0974953
FRY	0.0971153
"scrambled egg"	0.0959192
nacho	0.0924094
"macaroni and cheese"	0.0888204
sundae	0.0887881
meatloaf	0.0883446
"ground beef"	0.0858796
"ice cream"	0.0835125
pasta	0.0830789
Twinkies	0.0828253
pretzel	0.0826453
spaghetti	0.0801608
popcorn	0.0795439
"potato chip"	0.0791768
"Big Mac"	0.079087
sushi	0.0789342
salad	0.0789226
fajitas	0.0785631
"pecan pie"	0.0770697
"filet mignon"	0.0764235
Lasagna	0.0758841
chicken	0.0754589
brisket	0.0746608
"chocolate chip cookie"	0.072804
donut	0.0718357
scone	0.0713097
Tamale	0.0708009
"candy bar"	0.0694904
Chili	0.0692599
doughnut	0.0687549
ham	0.0686176
"green salad"	0.0685669
bun	0.068391
"chicken salad"	0.0675354
seafood	0.0666122
"raw meat"	0.0659398
Margarita	0.0655526
takeout	0.064193
"potato salad"	0.06413
mussel	0.0639762
focaccia	0.0638948
pastrami	0.0638525
cheesecake	0.0637134
"chocolate cake"	0.063507
"peanut butter"	0.0626093
salmon	0.0624162
soda	0.0615907
"pot roast"	0.0611987
"iced tea"	0.0609283
cooky	0.0604364
tofu	0.0604247
latte	0.0602243
omelette	0.0601596
biscuit	0.0601325
kebab	0.0600087
potato	0.0600048
cake	0.0597385
quiche	0.0596366
pancake	0.059597
cheese	0.0595722
soup	0.0595093
tuna	0.0594403
whopper	0.059209
"French toast"	0.059105
shortcake	0.0589812
"collard greens"	0.0583985
"chocolate mousse"	0.0583556
"chicken breast"	0.0578119
"loaf of bread"	0.057433
"balanced diet"	0.0574078
"meat loaf"	0.0569424
pork	0.05689
snack	0.0564856
espresso	0.0563102
pickle	0.0562875
oyster	0.0558493
shrimp	0.0555144
"soft drink"	0.0552884
halibut	0.0549222
Martini	0.054661
pasty	0.054536
"green bean"	0.0536016
barbecue	0.0535947
"roast beef"	0.0535603
bread	0.0535453
B-@s	0.0534142
six-pack	0.0533081
hotdog	0.0525923
"baked goods"	0.0519655
porridge	0.0517847
rib	0.0517392
omelet	0.0515981
lobster	0.0515799
noodle	0.0515502
bean	0.0515088
"cat food"	0.0515045
pie	0.0511192
lamb	0.0505106
helix	0.0501226
Sirloin	0.0500431
dumpling	0.0498663
spinach	0.0498569
Catfish	0.0498232
enchilada	0.0497523
"tuna fish"	0.0496367
bacon	0.0493846
frying	0.0493343
tenderloin	0.0491849
croissant	0.049091
bruschetta	0.0486001
"white meat"	0.0485045
ketchup	0.0484857
"soda pop"	0.0483128
appetizer	0.0483114
frankfurter	0.048298
"Diet Coke"	0.0475237
"vegetable soup"	0.047354
"smoked salmon"	0.0472609
venison	0.0471145
drumstick	0.0470271
"fruit salad"	0.0466952
scotch	0.0464985
crawfish	0.046427
"apple pie"	0.0463454
scallop	0.0462034
"tortilla chip"	0.0461247
cutlet	0.0460313
grits	0.0459712
calamari	0.0459163
lemonade	0.045873
macaroni	0.0457943
cola	0.045634
grapefruit	0.0455639
polenta	0.045554
torte	0.0453962
"TV dinner"	0.0451967
quesadillas	0.0451248
Souffle	0.0451065
candy	0.0449043
"root beer"	0.044833
fillet	0.0446033
cereal	0.0443106
crostini	0.0442735
patty	0.0441354
Pudding	0.0440937
matzo	0.044045
"leg of lamb"	0.0439723
gumbo	0.0438907
peanut	0.0437009
frittata	0.0435601
"bowling ball"	0.0434437
mozzarella	0.0432951
ravioli	0.042883
"theater ticket"	0.0428648
Collard	0.0427815
dressing	0.0422834
salsa	0.0421064
marshmallow	0.0420738
pastry	0.0420274
muffin	0.041747
cupcake	0.0416962
dessert	0.0415295
"cream sauce"	0.0414996
decker	0.0414091
gasket	0.0413125
laxative	0.0412932
veal	0.0410053
"condensed milk"	0.0408021
gravy	0.0407559
veggie	0.0405824
"sea bass"	0.0405238
birdbath	0.0401999
technicals	0.0400411
))
(cheesecake (desc 8069.52) (sims
TART	0.18989
pie	0.179225
Pudding	0.177205
cake	0.173477
"pound cake"	0.16615
brownie	0.165799
custard	0.159833
"ice cream"	0.157177
COBBLER	0.155512
"pecan pie"	0.149024
"chocolate cake"	0.147952
muffin	0.142487
"layer cake"	0.141679
mousse	0.141216
Souffle	0.139565
cooky	0.137529
scone	0.134881
flan	0.13264
"baked goods"	0.129193
dessert	0.129134
Casserole	0.128486
pastry	0.121341
cupcake	0.120664
quiche	0.119007
crepe	0.118921
salad	0.117597
pizza	0.117388
biscotti	0.116068
Lasagna	0.114568
fudge	0.114481
"pumpkin pie"	0.114204
meringue	0.113365
bread	0.109744
pancake	0.108954
frosting	0.108742
biscuit	0.108226
"french fries"	0.106993
shortcake	0.106932
latke	0.105713
"chocolate chip cookie"	0.104744
"creme brulee"	0.10255
milkshake	0.102139
torte	0.101748
soup	0.101458
meatloaf	0.100806
"oreo cookie"	0.0997286
fruitcake	0.0994941
"apple pie"	0.0992379
sorbet	0.0976979
"Caesar salad"	0.0975463
doughnut	0.0966081
pasta	0.0950302
"potato salad"	0.0931023
Jell-O	0.0926801
candy	0.0919236
sundae	0.0919185
chocolate	0.091451
yogurt	0.0900177
soda	0.0892989
cookie	0.0890955
sauce	0.0890031
smoothie	0.0885612
croissant	0.0869984
"salad dressing"	0.0857742
"French toast"	0.0848401
curd	0.08444
shortbread	0.0843207
cheese	0.0841571
frittata	0.0839084
filling	0.0838481
sushi	0.0834429
noodle	0.0832288
liqueur	0.082757
espresso	0.0825482
"vegetable soup"	0.0823458
cracker	0.0821817
"macaroni and cheese"	0.0819855
"fruit salad"	0.081621
pretzel	0.0813425
omelet	0.0810965
sandwich	0.0793164
spaghetti	0.0789566
"peanut butter"	0.0787157
risotto	0.0784339
bruschetta	0.0782016
"hot dog"	0.0777625
burgers	0.0770058
"whipped cream"	0.076828
taco	0.0766703
salsa	0.0761562
"chicken wing"	0.075625
ravioli	0.0754964
"chocolate mousse"	0.0751481
matzoh	0.0749672
cornbread	0.0742632
chutney	0.0737903
gravy	0.0737599
"potato chip"	0.0734138
waffle	0.0733101
puree	0.0730962
"spaghetti sauce"	0.0727444
burger	0.0724493
snack	0.0718202
steak	0.0718135
lemonade	0.0718011
"iced tea"	0.0715591
stew	0.0713983
cola	0.071348
chicken	0.0712944
quesadillas	0.0712528
dish	0.071175
compote	0.0708172
bagel	0.0707757
coleslaw	0.0705927
polenta	0.0705528
granola	0.0703855
"chicken salad"	0.0695181
popcorn	0.0693084
potato	0.0692366
"goat cheese"	0.069054
chowder	0.0690512
dumpling	0.0688255
jelly	0.0687061
dressing	0.0684609
"Diet Coke"	0.0679224
sausage	0.0677104
juice	0.0676104
praline	0.0675471
cream	0.0672105
"tomato sauce"	0.067187
syrup	0.0666051
gratin	0.066577
oatmeal	0.0659823
pickle	0.0656928
Tamale	0.0656421
"frozen yogurt"	0.0655403
Topping	0.065508
pesto	0.0653246
cappuccino	0.0652683
"root beer"	0.0649693
"chicken breast"	0.0643891
"hot chocolate"	0.0642813
ham	0.0641693
donut	0.0638695
coffee	0.0638424
"soft drink"	0.0638218
cheeseburger	0.0637134
gnocchi	0.0636736
"barbecue sauce"	0.0635476
"chicken sandwich"	0.0633734
Hamburger	0.063206
vinaigrette	0.0621896
fruit	0.0621245
seafood	0.0616446
dough	0.0614445
"smoked salmon"	0.0610307
ketchup	0.0609754
ale	0.0609466
focaccia	0.0608853
"meat loaf"	0.0604733
plantain	0.0599161
crust	0.059809
truffle	0.0597026
"sweet potato"	0.0593133
meatball	0.0589219
recipe	0.0587355
enchilada	0.0586094
toffee	0.0585694
loaf	0.058549
"sour cream"	0.0582707
"wedding cake"	0.0582573
paella	0.0578164
veal	0.0575163
"snack food"	0.0572688
stuffing	0.057227
nacho	0.0570392
brandy	0.0569385
"cream cheese"	0.0568628
Fondue	0.0567315
"foie gras"	0.0566
Chili	0.0563028
brie	0.0560205
cider	0.0553715
bun	0.0552135
vanilla	0.0549353
latte	0.0548558
tapa	0.0546584
pasty	0.0545505
vegetable	0.0544903
"pie crust"	0.0544451
gumbo	0.0543501
Beer	0.0540168
gelatin	0.0538803
fritter	0.0536025
butter	0.053544
mayonnaise	0.0534492
melon	0.0530699
"dairy product"	0.0530645
baguette	0.0529525
"vanilla ice cream"	0.0528305
))
(cheesecloth (desc 1558.23) (sims
"aluminum foil"	0.21672
"paper towel"	0.180188
"wax paper"	0.174028
"plastic wrap"	0.173248
gauze	0.140932
cellophane	0.129968
cardboard	0.103066
wallboard	0.0933722
"place mat"	0.077441
cutlery	0.0741291
"tissue paper"	0.0733044
"prayer shawl"	0.0727021
burlap	0.0725043
wrapper	0.0714987
tablecloth	0.0706912
"toilet paper"	0.069789
gravel	0.069013
Kleenex	0.0688857
linen	0.0671813
flooring	0.0661908
pastry	0.065842
"red tape"	0.0656286
shale	0.0626745
celluloid	0.0621613
Teflon	0.0606589
colander	0.0596803
linoleum	0.0589375
bedsheets	0.0587446
sheetrock	0.0573815
Mylar	0.0554934
sieve	0.055043
"slip of paper"	0.0529902
"gefilte fish"	0.0520748
"rolling pin"	0.051997
heaps	0.0506297
pinot	0.0501159
eggshell	0.0499961
"paper bag"	0.0496781
antifreeze	0.0494332
baguette	0.0489714
topsoil	0.0482524
blubber	0.0478583
silverware	0.0463168
raincoat	0.0462652
silicon	0.0449132
drywall	0.0447767
macaroni	0.044616
tulle	0.0441997
netting	0.0440293
handkerchief	0.0438391
padding	0.043444
sod	0.0432879
"bed sheet"	0.0421609
Stratus	0.0420631
"jigsaw puzzle"	0.0420343
Plexiglas	0.0419116
matzo	0.0414915
enamel	0.0413414
fraiche	0.040675
sheeting	0.0406203
ping-pong	0.0404873
"chocolate cake"	0.0402321
"grocery bag"	0.0401865
napkin	0.0400575
))
(cheetah (desc 3057.23) (sims
zebra	0.162592
rhino	0.158441
giraffe	0.149631
"black bear"	0.149289
leopard	0.140735
hippo	0.127787
crocodile	0.125259
chimpanzee	0.122474
gazelle	0.12056
hyena	0.115437
rhinoceros	0.114206
"giant panda"	0.110122
panda	0.109706
elephant	0.109407
monkey	0.105938
antelope	0.105931
deer	0.105557
orangutan	0.102052
warthog	0.0930451
lion	0.092074
"snow leopard"	0.0903822
"polar bear"	0.0837386
lynx	0.0825764
"brown bear"	0.0817552
alligator	0.0786737
ibis	0.0785458
gorilla	0.07784
sparrow	0.0764653
turtle	0.0762427
hamster	0.0753305
parrot	0.0746262
"wild boar"	0.0742818
goat	0.0733399
"sea turtle"	0.0730764
baboon	0.0724178
Pony	0.0699747
donkey	0.0698319
wolf	0.068532
sheep	0.067256
squirrel	0.0657712
parakeet	0.0647818
Primate	0.0645964
"rare bird"	0.0643936
Vulture	0.0631773
"grizzly bear"	0.0631652
"African elephant"	0.0621122
owl	0.0621101
python	0.061887
kangaroo	0.0612407
otter	0.0610754
ox	0.0610595
"sea otter"	0.0609045
hedgehog	0.0605105
"Bengal tiger"	0.0600202
rat	0.0599268
elk	0.0597394
Gibbon	0.0596802
koala	0.0595027
dolphin	0.0593002
pigeon	0.0587965
chimp	0.0586101
Macaque	0.0585321
jackal	0.0584296
mammal	0.0583582
Rottweiler	0.057868
porcupine	0.057866
cows	0.0574677
"Little Dog"	0.0572497
camel	0.0572473
cobra	0.0570301
rabbit	0.0570251
geezer	0.056193
raccoon	0.0552606
fawn	0.0551834
ostrich	0.055021
"belly dancer"	0.0548151
lizard	0.0547104
"mountain lion"	0.0546723
mallard	0.0546107
Puma	0.0544799
sturgeon	0.0540012
tarpon	0.0538576
geese	0.0536587
swan	0.0535773
Jaguar	0.0534273
ape	0.0532201
goldfish	0.0531877
egret	0.0529438
peacock	0.0528085
"wild horse"	0.0527557
iguana	0.0519029
boar	0.0517758
Harlequin	0.0516062
manatee	0.0515195
"sitting duck"	0.0513682
striper	0.0511791
"North Africans"	0.0509874
reptile	0.0507139
dragonfly	0.0504653
dragon	0.0501271
"dairy cow"	0.0501261
llama	0.0497606
"sea lion"	0.0497232
Buffaloes	0.0493383
rodent	0.0490465
BOA	0.0488392
tamer	0.0484263
Greyhound	0.0484163
stork	0.0481196
"sled dog"	0.0481009
mastodon	0.0479135
calf	0.0476596
frog	0.0474512
"bald eagle"	0.0472686
sloth	0.0472123
burro	0.0471964
walrus	0.0470099
"right whale"	0.0467552
shoplifter	0.0467531
"little sister"	0.0467239
puppy	0.0464779
yearling	0.0463267
"guinea pig"	0.0460149
Bengal	0.0457047
Bostonian	0.0455545
bluefish	0.0452417
"little leaguer"	0.0450066
crewmembers	0.0444936
pup	0.0443462
bison	0.0439473
cormorant	0.0438906
porpoise	0.0436372
"little hand"	0.0435685
"water buffalo"	0.0435284
wallaby	0.0434246
pheasant	0.0433951
copout	0.0433055
deejays	0.0430031
"A.P Indy"	0.0429025
Grinch	0.0428126
Firefly	0.0427925
"Tom Osborne"	0.0427565
beagle	0.0425891
co-anchor	0.0425274
great-grandchildren	0.0422332
"Barbara Bush"	0.0421076
Condor	0.0420914
"mountain gorilla"	0.0415546
rooster	0.0415297
impersonator	0.0414216
stepchildren	0.041291
chick	0.0412557
"coho salmon"	0.0412503
cougar	0.0411298
Sacagawea	0.0410479
maggot	0.0409389
tarantula	0.0408346
"sour grapes"	0.0407499
steelhead	0.0406125
kitten	0.0405808
yak	0.0405458
chipmunk	0.0404609
"cost structure"	0.0404293
bodybuilder	0.0404168
armadillo	0.0402145
critters	0.0402116
"blue crab"	0.0401505
crewmates	0.040146
hare	0.0400679
quadruplet	0.0400328
))
(Cheever (desc 4142.48) (sims
Andretti	0.125403
Labonte	0.119848
Kenseth	0.111834
"Scott Goodyear"	0.100467
Foyt	0.100009
Zanardi	0.0993691
Montoya	0.0973275
Herta	0.0964932
"Arie Luyendyk"	0.0961579
Mayfield	0.0946561
Irvan	0.0938592
Pruett	0.0934683
Brack	0.0933283
McDonnell	0.0916789
Jarrett	0.0891612
Earnhardt	0.0889804
Skinner	0.0888177
Unser	0.0882282
Franchitti	0.0874063
Luyendyk	0.0846588
Gordon	0.0832031
Waltrip	0.082655
Ainge	0.0823931
Redgrave	0.0822638
Samuelson	0.0822302
Vasser	0.0804132
Schumacher	0.0782137
Rossi	0.0778948
Briscoe	0.0777078
Atler	0.0776138
Bonanno	0.0768275
Menchu	0.0758594
"Jeff Ward"	0.0755623
Sainz	0.075438
rudd	0.0752242
Hartley	0.0745752
Barrett	0.0745408
Schafer	0.0744411
Webb	0.0742544
bock	0.0738001
Gotti	0.0737136
Cline	0.0736437
O'Connell	0.072837
Hornaday	0.0725731
McMillan	0.0722115
Draper	0.0720968
Villeneuve	0.0720774
Dowd	0.072076
Coulthard	0.0720218
Dubus	0.0715926
Puzo	0.0715432
HELLER	0.0715389
"Sam Schmidt"	0.0707913
Mortimer	0.0705993
McCourt	0.0703715
Salinger	0.0702365
Grunwald	0.0701901
Carey	0.0701395
Howe	0.0700898
Biffle	0.0694321
Penske	0.0694258
Irwin	0.0691192
Meissner	0.0691109
Makinen	0.0681649
Wallace	0.0681619
Soyinka	0.0680791
FitzPatrick	0.0678667
Goldin	0.0675742
Fitzgerald	0.0674789
Cornwell	0.0674671
Ricci	0.0674435
Sorensen	0.0674063
"Greg Ray"	0.0673995
Hickman	0.0673135
Hersh	0.0670057
Tanui	0.0669566
Rosen	0.066777
Krall	0.0665234
petty	0.0662146
Patten	0.0660989
Northup	0.0660819
Lurie	0.0660167
Watson	0.065989
Nanula	0.0658126
Solis	0.0657421
Salazar	0.0656506
"Bobby Labonte"	0.0656309
Cooke	0.0655486
pressman	0.0654974
Eisner	0.0654654
Naipaul	0.0654016
Bates	0.0652167
Sommer	0.0649477
Geiger	0.0648443
Laudrup	0.0647423
Kirkpatrick	0.0647127
Cleary	0.0646512
Lowry	0.0645346
Schmidt	0.0644165
Flynn	0.0642944
Wiggins	0.0642449
Dolan	0.0640932
Shriver	0.0639778
Caldwell	0.0639555
Mucha	0.0639431
"St. James"	0.0638037
Elliott	0.0636956
"Dale Jarrett"	0.063692
Faldo	0.0636762
Tarver	0.0636002
Betts	0.0634068
Mcbride	0.0633849
Levin	0.0633184
Baum	0.0632786
Bragg	0.0632622
Jalabert	0.0632502
Larson	0.0631484
Abiola	0.0629077
Mosley	0.0628899
Hecht	0.0628865
Torres	0.0628838
Hauser	0.062782
Guthridge	0.0625986
"Ward Burton"	0.0625818
Waxman	0.0625101
Carlson	0.0624986
Woodson	0.0624272
"Jeff Gordon"	0.0623737
O'Hara	0.0623065
Steele	0.0621805
Fiorina	0.0619221
Sherrill	0.0617788
Blume	0.0617134
Morse	0.0615532
Hakkinen	0.0615197
Begala	0.061513
Weiner	0.0614188
Sheppard	0.0612866
Doohan	0.0611949
"McCaughey Ross"	0.061068
Molinari	0.0610167
Diggs	0.0609995
Rivlin	0.0608368
O'Malley	0.0604485
Donohue	0.0603941
Stephenson	0.0603874
Kelley	0.0602881
Woodard	0.0602531
"Dale Earnhardt Jr."	0.0602329
Hess	0.0601288
Greenberg	0.060048
Bidwill	0.0600023
Finney	0.0599724
Sills	0.059914
Kurth	0.0598584
McCartney	0.0598367
Lindbergh	0.0598293
Britton	0.0597351
Borges	0.0596787
Matthews	0.0596453
Manheim	0.0596062
Ackerman	0.0595497
Michaels	0.0594828
Tharp	0.0594469
Garcetti	0.059342
Bowden	0.059224
Meissnitzer	0.0591883
Desormeaux	0.0591004
Ruehe	0.0590805
Wilder	0.0590774
Burton	0.0589357
"Mark Martin"	0.0589127
fuller	0.0588732
Rosenberg	0.0587862
Gorter	0.058786
Suarez	0.0587139
Johnston	0.0586785
Tomba	0.0586335
Spence	0.0586078
Hoddle	0.0586018
Brennan	0.0585797
Duffy	0.0585595
Schrader	0.0585421
Lerner	0.0584024
Chelios	0.058397
Stewart	0.0583912
Sheehy	0.0582965
Greenwald	0.0582548
Hagen	0.0582336
Schneider	0.0581005
Peca	0.0580838
Bessette	0.0580397
Hanley	0.058033
McMahon	0.058014
Barrymore	0.057857
Franz	0.0578448
Stahl	0.0578295
Wolfe	0.0577743
Flores	0.0577591
Knapp	0.0577568
))
(chef (desc 55684.3) (sims
Cook	0.141703
waiter	0.122124
designer	0.118206
winemaker	0.111739
artist	0.106305
musician	0.105707
gardener	0.104255
writer	0.0992961
restaurateur	0.0991525
architect	0.0976005
busboy	0.0963407
painter	0.0942054
engineer	0.0938863
bartender	0.0924641
Programmer	0.0924242
photographer	0.0921944
teacher	0.0911083
waitress	0.0908069
sommelier	0.0897261
professional	0.0881468
restaurant	0.0875019
dancer	0.0867059
scientist	0.0865201
entrepreneur	0.0855634
technician	0.0844926
doctor	0.0841261
trainer	0.0839215
journalist	0.0837615
composer	0.0837321
pianist	0.0836994
choreographer	0.0836706
actor	0.0832029
manager	0.0831351
educator	0.0817483
filmmakers	0.0815681
scholar	0.0811159
Playwright	0.0810905
physician	0.0810289
novelist	0.0807173
surgeon	0.0805035
psychologist	0.0802049
author	0.0801685
performer	0.0796962
conductor	0.0795474
"computer programmer"	0.0795092
collector	0.0790645
singer	0.0785966
golfer	0.0785796
poet	0.0782368
housekeeper	0.0782266
nurse	0.0781559
developer	0.0770499
therapist	0.0766415
instructor	0.0760845
editor	0.0755677
caterer	0.0754714
filmmaker	0.0752821
actress	0.0752425
researcher	0.0751819
historian	0.0747535
lawyer	0.074467
owner	0.0744474
comedian	0.0743634
cuisine	0.0743358
mathematician	0.0743295
athlete	0.0742866
accountant	0.074047
sculptor	0.0737344
hostess	0.0737056
entertainer	0.0734832
violinist	0.0734375
celebrity	0.0732393
consultant	0.0730117
planner	0.0724769
banker	0.0723533
executive	0.0719921
producer	0.0719491
carpenter	0.0717191
diner	0.0713705
"venture capitalist"	0.0712959
counselor	0.0712721
clerk	0.0711283
worker	0.0710716
"fashion designer"	0.0710171
"interior designer"	0.0705525
operator	0.0699021
volunteer	0.0696926
physicist	0.0687651
farmer	0.0687104
politician	0.0686751
recipe	0.068361
Baker	0.0682162
student	0.0680751
screenwriter	0.0674892
attendant	0.0670667
driver	0.0669826
scout	0.0668889
maid	0.0667288
merchant	0.0666579
expert	0.0665342
folk	0.0665037
"jazz musician"	0.0663489
sailor	0.0663405
woman	0.0663303
Reader	0.0662978
kitchen	0.0662737
cooking	0.0658763
stylist	0.0657224
cookbook	0.0656864
builder	0.0656745
craftsmen	0.0656601
guest	0.0655761
psychiatrist	0.0655644
director	0.0654905
"business executive"	0.0654883
"social worker"	0.0654709
employee	0.0653118
dish	0.0649644
customer	0.0648697
kid	0.0646917
publisher	0.0646375
astronomer	0.0646174
menu	0.0645122
"disc jockey"	0.0644926
practitioner	0.0643209
shopper	0.0642351
professor	0.0642252
patron	0.064141
hairdresser	0.0638789
mom	0.0638484
officer	0.0638274
inventor	0.0637673
specialist	0.0637429
assistant	0.0637209
fan	0.063648
songwriter	0.0636009
man	0.0631339
veterinarian	0.0630952
activist	0.0628697
pilot	0.0628531
mechanic	0.0628071
decorator	0.0627303
academic	0.0627109
stockbroker	0.0626841
contractor	0.0625258
magician	0.0625187
player	0.0625073
friend	0.0623682
resident	0.0621659
coach	0.0620942
chauffeur	0.061958
trader	0.0619091
illustrator	0.0619013
retailer	0.0616345
thinker	0.0616304
grower	0.061468
buyer	0.061454
"baseball player"	0.0614264
"movie star"	0.0614039
"investment banker"	0.0613303
vendor	0.0612866
electrician	0.0612022
Amateur	0.0611737
cartoonist	0.0611592
publicist	0.0610756
housewife	0.061
"art dealer"	0.0609853
handyman	0.0608545
investor	0.0608236
philosopher	0.0607475
lover	0.0607304
Attorney	0.0607263
dealer	0.0607087
salesman	0.0606231
surfer	0.0604642
astronaut	0.0604379
"college student"	0.0604077
animators	0.0604007
parent	0.0603581
"police officer"	0.06034
teen-ager	0.0603212
dentist	0.0602847
"art historian"	0.0602835
artisan	0.0601439
enthusiast	0.0601327
biologist	0.0601208
lifeguard	0.0600809
youngster	0.0599805
hacker	0.0598354
detective	0.0596644
translator	0.0593104
nanny	0.059309
racer	0.0592457
"plastic surgeon"	0.0592055
pharmacist	0.0591797
mother	0.0591021
curator	0.0591002
guy	0.0590489
trainee	0.0590299
homeowner	0.0588896
))
("Chek Lap Kok" (desc 4569.38) (sims
"Kai Tak"	0.129502
"Hong Kong International Airport"	0.121961
Stansted	0.110953
"San Francisco International Airport"	0.0997667
"Capital Airport"	0.0933816
"Logan International Airport"	0.0921729
"Newark International Airport"	0.0859874
"Heathrow Airport"	0.0848003
"Surat Thani"	0.0845246
Kyushu	0.0814743
"Los Angeles International Airport"	0.0783198
Phuket	0.0754969
Heathrow	0.0712802
Sipadan	0.069952
Malpensa	0.0698688
"Macao International Airport"	0.0685469
"Pudong International Airport"	0.0668208
"Kennedy Space Center"	0.0664742
Langkawi	0.0664721
"Terminal @"	0.0661079
"Andrews Air Force Base"	0.0647347
"Kennedy International Airport"	0.0644011
"Abu Musa"	0.0628909
"Charles de Gaulle"	0.0627497
Batam	0.0622027
Moroni	0.0607172
"La Guardia"	0.0598052
"Miller Park"	0.0592244
"Miami International Airport"	0.0578739
"La Guardia Airport"	0.0574548
"Kai Tak Airport"	0.0570938
O'Hare	0.0567656
"zero hour"	0.0563076
Sakhalin	0.0556907
Crete	0.0554055
"Logan Airport"	0.0551132
"International AIDS Conference"	0.0548634
Hartsfield	0.0538009
LaGuardia	0.0537418
Lucerne	0.0531534
Dulles	0.0529565
Anjouan	0.0528759
Bougainville	0.0520253
"about @@:@@"	0.0510057
"Kennedy Airport"	0.0505458
Jolo	0.049418
"Hartsfield International Airport"	0.048282
Mallorca	0.0478957
Zhangjiajie	0.0471341
Logan	0.0465618
http://www	0.0464297
"Fort Dix"	0.0459605
"Safeco Field"	0.0458425
one-timer	0.0453955
heliport	0.0452599
Antigua	0.0450498
"Erie Canal"	0.0448534
Hokkaido	0.0447337
"Cape Canaveral"	0.0442583
"Sky Harbor"	0.0440152
"Camden Yards"	0.0439989
"South Pole"	0.0439369
"Ben-Gurion Airport"	0.0439277
IMS	0.0437325
"Lawrence Livermore National Laboratory"	0.043657
"Cairo International Airport"	0.0432395
KLIA	0.0429024
"local time"	0.0426348
"Gorges Dam"	0.0422044
Dushanbe	0.0420165
Kandahar	0.041682
"Kuala Lumpur International Airport"	0.0416548
Internet@	0.0415801
"Yucca Mountain"	0.0415333
"Beijing-Kowloon Railway"	0.0412539
"Comerica Park"	0.041072
Pudong	0.0410427
Pemba	0.0407759
Kauai	0.04066
"O'Hare International Airport"	0.0404177
))
(Chekhov (desc 3740.44) (sims
Ibsen	0.195513
Sartre	0.152222
Brecht	0.150314
"Eugene O'Neill"	0.125332
Dickens	0.117687
Moliere	0.115805
Pushkin	0.0998204
Tolstoy	0.0935449
"Arthur Miller"	0.0912342
Kafka	0.0907127
Shakespeare	0.083217
Dostoyevsky	0.0785085
Joyce	0.0784255
Balzac	0.0781066
"Jane Austen"	0.0777517
Wilde	0.0749957
Steinbeck	0.0745784
Nietzsche	0.0745013
"Tennessee Williams"	0.0716284
"George Bernard Shaw"	0.0707893
MACHIAVELLI	0.0701319
Camus	0.066864
Chaucer	0.0665157
"Henry James"	0.0663274
Dante	0.0662408
"Edgar Allan Poe"	0.063515
"Victor Hugo"	0.0607768
"Charles Dickens"	0.0601354
Nabokov	0.0598545
Yeats	0.0584263
Seuss	0.0572408
Austen	0.0571932
Beckett	0.0563542
Borges	0.0559344
"Robert Frost"	0.055496
Racine	0.0542184
"Noel Coward"	0.0541075
"King Lear"	0.0533051
Hawthorne	0.05177
Goethe	0.0509448
Hemingway	0.0503169
Melville	0.0501255
Twain	0.0499511
Carlyle	0.049857
"Jekyll and Hyde"	0.0497532
Pigskin	0.049006
Gibbon	0.0489372
Electra	0.0480076
"Life Is Beautiful"	0.0472092
Gorey	0.0469486
"Graham Greene"	0.0468715
Freud	0.046695
"Passion play"	0.046413
"True West"	0.0459733
Archimedes	0.0458407
"Stephen King"	0.0457957
"Oscar Wilde"	0.0454432
"old times"	0.0454185
Othello	0.0448029
Faulkner	0.0446853
"F. Scott Fitzgerald"	0.0440594
Poe	0.0432938
"E.B White"	0.0429191
"Don Quixote"	0.0427344
Proust	0.0424565
"Neil Simon"	0.0423086
Marx	0.0416389
Milton	0.0416214
Talmud	0.0416174
"Horse Whisperer"	0.0415541
Cinderella	0.0414355
"San Sebastian"	0.0414032
"Jimmy Stewart"	0.0410906
Updike	0.0406394
"Ernest Hemingway"	0.0404853
Sheridan	0.0403965
Woolf	0.0403676
"Streetcar Named Desire"	0.0403219
Dracula	0.0401864
"this @@@@"	0.0400587
Tchaikovsky	0.0400214
))
(Chelios (desc 1096.17) (sims
"Chris Chelios"	0.177184
Samuelsson	0.168437
Moreau	0.150502
"Wendel Clark"	0.134976
"Ulf Samuelsson"	0.115032
Laperriere	0.111199
Palffy	0.0949099
Kovalev	0.0948101
Fleury	0.0922932
Lacroix	0.0918176
Gilmour	0.0915485
Skiles	0.0910817
Primeau	0.0893332
Daigle	0.0886934
Leetch	0.0877805
Pippig	0.0863899
Hagi	0.0862085
Berard	0.0839854
"three pitchers"	0.0826797
Bure	0.0807639
Baerga	0.0795684
Gatling	0.079474
Tarver	0.0784062
"two pitchers"	0.0782334
Kjus	0.077815
Graziani	0.0771816
Ottey	0.0764314
Zubov	0.0763138
Audette	0.0763062
Blaylock	0.0761346
Nakata	0.0757024
Ceballos	0.0756429
Cedeno	0.0756397
"Nicklas Lidstrom"	0.0747952
Klinsmann	0.0736476
Karlsson	0.0734214
Recchi	0.0733374
Bierhoff	0.0731099
Lois	0.0727582
"Dale Hunter"	0.0723631
Spielman	0.0723538
"Joey Cora"	0.0721695
Turgeon	0.0719632
Kasparov	0.0718985
Sautin	0.0718247
Majoli	0.0710753
Yagudin	0.070949
Polgar	0.0707105
Lindros	0.0706023
Taufik	0.0701344
Ripken	0.0699583
"Larry Hughes"	0.069115
Battie	0.0690008
Hejduk	0.068981
PRONGER	0.0688401
"Tony Amonte"	0.0688194
Matthaeus	0.068739
Tanui	0.0686977
Renteria	0.0685324
Faulk	0.0685251
Murrell	0.0684799
Surhoff	0.0684654
"Randy Myers"	0.0684209
Sykora	0.0677243
"Billy Taylor"	0.0676756
Karpov	0.0676589
Westbrook	0.0673876
ALLISON	0.0672954
Dunston	0.0671096
"Bill Guerin"	0.0670648
Laudrup	0.066957
Petkovsek	0.0668302
"Roman Turek"	0.0662452
Embree	0.0661558
"Mike Vernon"	0.0659818
Alou	0.0658214
"Raef LaFrentz"	0.0654262
Mikhailov	0.0653506
"Annika Sorenstam"	0.0652116
Gilkey	0.0651138
Harbaugh	0.0649804
Koznick	0.0648469
Candiotti	0.0648247
Waltrip	0.0648181
Plante	0.0647035
Medvedev	0.0646339
Gugliotta	0.0645581
Yastrzhembsky	0.064514
Akers	0.0644002
"Stephon Marbury"	0.0641053
"Mikhail Shtalenkov"	0.064088
Kazhegeldin	0.0639438
Butyrskaya	0.0638124
Fizer	0.0636129
"Felix Potvin"	0.0635691
Hiett	0.0632079
Donato	0.0628986
Sotomayor	0.0628981
Bonilla	0.0628631
Remlinger	0.0626837
Aguilera	0.0626474
"Brian Leetch"	0.0623746
"Steve Nash"	0.0623572
Mantei	0.0621555
Chilavert	0.0621321
Zeile	0.06197
Cora	0.0616611
Nowitzki	0.0616339
Stumpel	0.0615539
Mercker	0.0614825
Larkin	0.0614643
Soyinka	0.0612494
Jagr	0.0609104
Roenick	0.060895
Sakic	0.0607455
Foyt	0.0607282
Cassell	0.0606959
Noonan	0.060623
Duchesne	0.0604678
Roba	0.0604114
Faldo	0.0604073
Tverdovsky	0.0603316
Unser	0.0602818
Brogna	0.060225
"Mike Bordick"	0.0601976
"Steve DeBerg"	0.0600857
Laettner	0.0600309
Isringhausen	0.0597568
Cipollini	0.0595707
Vieri	0.0595194
LeClair	0.0594949
"Van Roost"	0.0594726
Benitez	0.0594638
Montgomerie	0.0594052
Bottenfield	0.0593068
Vogts	0.0592501
Wynalda	0.0591859
Gretzky	0.0591855
"Ray Ferraro"	0.0589102
Hofer	0.0588979
"Dante Bichette"	0.0587896
Wohlers	0.0586427
"Wang Zhizhi"	0.0586289
Segui	0.0585776
Szczerbiak	0.0584809
Burks	0.0584645
Pulsipher	0.0584224
Wilkens	0.0584211
Cheever	0.058397
Maradona	0.058343
"David Trezeguet"	0.0581899
"Paul Coffey"	0.0581712
Woodruff	0.0581693
Fuhr	0.0580787
"Ron Gant"	0.0580679
Irvan	0.0580612
Hardaway	0.0579709
Corretja	0.057884
Yzerman	0.0578007
Appier	0.0575995
Bedell	0.0574377
Nieuwendyk	0.0574
Konerko	0.0571644
guo	0.0571139
Joklik	0.0570996
"Theo Fleury"	0.0570262
Leyritz	0.0569941
Montiel	0.0569914
Huskey	0.0569066
Fedorov	0.0568736
Kanell	0.0568339
Salas	0.0565579
Newsome	0.0565383
Zolak	0.05652
"Fernando Vina"	0.056451
Ortega	0.0563981
Barrasso	0.0563971
"Dave Andreychuk"	0.0563761
Gascoigne	0.0563734
Coutts	0.0563719
Sexson	0.0562413
COLTEC	0.0562354
Loroupe	0.0561831
Artest	0.0560585
"Mike Timlin"	0.0559813
Veras	0.0559812
Cordero	0.0559611
Scottie	0.0558306
"Eric Murdock"	0.0558197
Messier	0.055796
"Mark Messier"	0.0556646
Weinke	0.0556435
MARBURY	0.0556336
Robitaille	0.055619
Smolinski	0.0555501
Slaney	0.0555284
McDyess	0.0554035
Redgrave	0.0553796
"Darren Holmes"	0.0553362
Zanardi	0.0553126
))
(Chelsea (desc 37839.3) (sims
"Manchester United"	0.198734
"Aston Villa"	0.187021
Everton	0.185877
Liverpool	0.185134
"Newcastle United"	0.17797
Middlesbrough	0.167567
Tottenham	0.163472
Leeds	0.162138
"Leeds United"	0.156502
Newcastle	0.152321
"Tottenham Hotspur"	0.150249
"Leicester City"	0.149461
Juventus	0.145491
"West Ham United"	0.143043
"Derby County"	0.138765
Arsenal	0.137356
"Nottingham Forest"	0.135621
"Coventry City"	0.1327
"West Ham"	0.130812
Southampton	0.13027
"Real Madrid"	0.12959
"AC Milan"	0.129363
Galatasaray	0.123318
"Inter Milan"	0.122649
Sunderland	0.122538
"Bayern Munich"	0.121264
Tribeca	0.120888
Leicester	0.120106
Parma	0.114619
Ajax	0.113704
"Blackburn Rovers"	0.11308
Blackburn	0.110524
Barcelona	0.107378
Valencia	0.107327
Watford	0.104431
Charlton	0.103987
"Borussia Dortmund"	0.101436
Fiorentina	0.100856
"Chelsea Clinton"	0.0979573
"Bradford City"	0.0968553
Sheffield	0.0965955
"Ajax Amsterdam"	0.0964715
Inter	0.0945051
Soho	0.0942257
"Crystal Palace"	0.0935914
Bayern	0.0927456
"East Village"	0.0926749
Brondby	0.0921086
Lazio	0.0918869
Olympiakos	0.0917778
Anderlecht	0.0909678
Besiktas	0.0906195
"Greenwich Village"	0.0903229
Benfica	0.0884147
"West Village"	0.0883928
"Olympique Marseille"	0.0867832
"Dynamo Kiev"	0.0859466
"VfB Stuttgart"	0.0850499
Coventry	0.084964
"Shanghai Shenhua"	0.0849439
"Glasgow Rangers"	0.0848784
corinthian	0.0846664
"Atletico Madrid"	0.0841515
Panathinaikos	0.0825987
"Boca Juniors"	0.0825122
Porto	0.0825006
Kaiserslautern	0.0816557
Feyenoord	0.0815071
"PSV Eindhoven"	0.0800154
Denmark	0.0794855
"Schalke @@"	0.0784958
Manchester	0.0774305
Fulham	0.0767883
"Bayer Leverkusen"	0.0761823
MetroStars	0.0758345
Udinese	0.0756726
England	0.0752597
"Spartak Moscow"	0.0747161
"Sturm Graz"	0.074111
Norway	0.0740213
Schalke	0.0739134
Marseille	0.0735048
Palmeiras	0.0731643
"Werder Bremen"	0.073163
Mallorca	0.0731419
Rosenborg	0.0725166
Monaco	0.0718812
Gremio	0.0716587
Necaxa	0.0715219
Ipswich	0.0714202
Norwich	0.07093
"Dalian Wanda"	0.0707518
"Jubilo Iwata"	0.0700135
"Celta Vigo"	0.0697079
Sampdoria	0.0696111
Wimbledon	0.0695897
Flamengo	0.0688693
club	0.0685759
"D.C. United"	0.0682037
"FC Barcelona"	0.0680512
Fenerbahce	0.0678834
"Red Star"	0.0671463
"Red Wings"	0.0667356
Brazil	0.0666169
Manhattan	0.0665822
Celtic	0.0656657
Hingis	0.0656418
Phoenix	0.0650486
Shenhua	0.0650291
Napoli	0.0648827
Argentina	0.0646821
"Little Italy"	0.0634842
Chicago	0.0632079
Zaragoza	0.0629026
Dallas	0.0624697
"River Plate"	0.062467
Detroit	0.0624304
Beverly	0.0620629
Davenport	0.0612603
Croatia	0.0611063
Chinatown	0.060978
Brooklyn	0.0608876
Netherlands	0.0606982
"Premier League"	0.060483
Perugia	0.0603352
Italy	0.0599654
Uruguay	0.0599224
"Colo Colo"	0.059902
"South Korea"	0.05985
oiler	0.0598268
Hillary	0.0597721
"Czech Republic"	0.0597188
Internazionale	0.0596905
Calgary	0.0595802
Canadiens	0.0595719
Bolton	0.0595559
"Hertha Berlin"	0.0595498
Paraguay	0.0595291
"Andre Agassi"	0.0595268
Leverkusen	0.059455
Dortmund	0.0594192
"Dallas Stars"	0.0593829
"Steffi Graf"	0.0592699
"Tampa Bay"	0.0592578
Heerenveen	0.0590997
Sweden	0.0589464
"Washington Heights"	0.0589246
"Kansas City"	0.0589174
"Real Sociedad"	0.0586401
Romania	0.0586039
BRIGHTON	0.0583267
Boston	0.0583118
"Chicago Fire"	0.0582342
Seles	0.058201
Spartak	0.0581926
Columbus	0.0581183
Espanyol	0.0580269
Roma	0.0579935
Stanford	0.0577396
Australia	0.0575815
Buckhead	0.0575432
"Los Angeles Lakers"	0.0575205
Baltimore	0.0574352
"San Antonio"	0.0573831
Seattle	0.0572511
Scotland	0.0572457
ranger	0.0571589
"Green Bay Packers"	0.0570972
"Tipper Gore"	0.056974
Moya	0.0566705
Wanda	0.0565315
Villa	0.0564734
"Vancouver Canucks"	0.0564316
"Pete Sampras"	0.0562758
"Detroit Red Wings"	0.0562591
Bordeaux	0.0562458
Tennessee	0.0561915
Tunisia	0.0561274
"St. Louis"	0.0558827
bronco	0.0558796
Philadelphia	0.0558459
Toronto	0.0558315
"Martina Hingis"	0.0556975
Sampras	0.0556008
"Los Angeles"	0.0555608
Carolina	0.0555562
Agassi	0.055451
France	0.0553737
Houston	0.0553436
Belgium	0.0552477
Betis	0.0552392
Henman	0.055226
Bengals	0.0551674
"Pittsburgh Pirates"	0.0550098
Bari	0.0549112
Cameroon	0.0549045
Jamaica	0.0547222
"Indiana Pacers"	0.0547193
bruin	0.0546348
Vancouver	0.0546213
))
("Chelsea Clinton" (desc 3376.24) (sims
"Tipper Gore"	0.112615
Chelsea	0.0979573
Natalie	0.0900993
Juli	0.0858938
"Richard Riley"	0.0790664
Tipper	0.0750926
"Rudy Giuliani"	0.0745638
Abby	0.0740682
Kristin	0.0717714
Jenna	0.0717294
Sasha	0.0698861
"Karenna Gore Schiff"	0.068838
alicia	0.0684927
"Harold Ickes"	0.0679315
"Rudolph Giuliani"	0.0671667
Sophie	0.0654783
"Dominique Moceanu"	0.0641009
"Rick Lazio"	0.0639384
Weinke	0.0626816
"Alexis Herman"	0.0625223
Karenna	0.062208
"National Security Adviser Sandy Berger"	0.0604756
"Laura Bush"	0.0599153
"Drew Henson"	0.0599113
Julie	0.0590484
Brenda	0.0588278
Alison	0.0580782
Wynonna	0.0573738
Bessette	0.0573036
"Princess Anne"	0.0572824
Erin	0.0571888
Taufik	0.057083
Sonia	0.0567188
Chmura	0.0566337
Polly	0.0564943
Crenshaw	0.0564219
Stephanie	0.0563385
"Chris Weinke"	0.0563004
bridegroom	0.0559507
Farrakhan	0.0559417
Evelyn	0.0559272
Lyn	0.0557296
Eileen	0.0556529
Karen	0.0555732
Shannon	0.0550358
Amy	0.0542898
Briere	0.0541746
ALLISON	0.0540331
Caroline	0.0539233
Nora	0.0538942
Druckenmiller	0.053852
Alexandra	0.0538409
Sylvia	0.0538308
"Neil Armstrong"	0.0537698
"Jumaine Jones"	0.0536125
"Hillary Rodham Clinton"	0.0534861
Meg	0.0532951
Landry	0.0527862
Marie	0.0525269
Jenny	0.0524591
Elizabeth	0.0523726
Donna	0.0523626
Debra	0.052327
"Robert Rubin"	0.051967
Agnes	0.0518535
Jessica	0.0516748
Nicole	0.0515662
"Isabel Allende"	0.0514504
Melinda	0.0513516
"Parker Bowles"	0.0512836
Carolyn	0.0511663
Lori	0.0508781
Angelica	0.0508701
Perrot	0.0507295
Mandela	0.0504155
Ellen	0.0502648
Linda	0.0502256
"Pope John Paul II"	0.0502079
"Emperor Akihito"	0.0500774
Jennifer	0.0499644
Christine	0.0498403
Ella	0.0497991
Elena	0.0496326
Sarah	0.0496255
Rachel	0.0495715
"queen mother"	0.0489571
Hillary	0.0488171
Elisabeth	0.0486871
"Prince of Wales"	0.0485715
Katie	0.0484272
Peggy	0.0482435
"Jane Fonda"	0.0481233
Clintons	0.0477034
Kathleen	0.0475834
Kerry	0.0475088
Meredith	0.0474112
"Betty Currie"	0.0472648
Henson	0.0471654
Outzen	0.0471285
"Casey Martin"	0.0470583
Valerie	0.0470551
"Caroline Kennedy"	0.0470239
"Juan Miguel Gonzalez"	0.0468906
Ashbrook	0.0467061
Irina	0.0466622
"George Washington"	0.0466547
"Queen Elizabeth II"	0.0465467
Olano	0.0464876
Mucha	0.0464823
Amanda	0.0463232
Cody	0.046299
Diane	0.0462732
Menuhin	0.0462393
Courtney	0.0462373
Applewhite	0.0461989
Eva	0.0460819
Rockefellers	0.0460451
Erica	0.0460252
"Megawati Sukarnoputri"	0.0458974
"John Paul"	0.0457988
"Hillary Clinton"	0.0457349
Melissa	0.0456994
Pearce	0.0455539
Susan	0.0454632
Vivian	0.0454625
"Heather Locklear"	0.0453615
Missourian	0.0453304
Kiki	0.0451671
"Consultative Group"	0.0450991
Andrea	0.0449407
"Lamar Odom"	0.0449269
Barbara	0.0449103
Tuinei	0.0449023
"Pete Rose"	0.0448052
duchess	0.0447051
Olga	0.0447006
"little boy"	0.0446448
Marisleysis	0.0444389
Josh	0.0443439
"Jacqueline Kennedy"	0.0443408
Jill	0.0443235
nanny	0.0442913
Anne	0.0442271
Edith	0.0441482
Mortimer	0.0440758
"Lawrence Summers"	0.0440678
Hadley	0.0439449
Postel	0.0438574
Carr	0.0437591
Beatrice	0.0436434
Shirley	0.0436158
"William Cohen"	0.043562
Christina	0.0434687
heather	0.0434438
Jackie	0.0434279
Michelle	0.0433558
"Jesse Jackson"	0.0433222
Vera	0.0433013
Kimberly	0.0432855
Randall	0.0432842
Tanui	0.0432651
William	0.0432357
Laurie	0.0431809
pontiff	0.043151
"Fidel Castro"	0.0430508
Bambi	0.0430443
colleen	0.0428737
"Dez White"	0.0428703
McDyess	0.0424944
parolee	0.0423886
Vince	0.0423832
anna	0.0423474
"Queen Beatrix"	0.0422919
Paige	0.0420708
Kate	0.0420495
Sharon	0.0420342
"Sang Lan"	0.0420146
Christy	0.0418789
Minnesotan	0.0418518
Eleanor	0.0418371
Amber	0.0418087
Berra	0.0417009
"Sandy Berger"	0.0416991
"Robin Yount"	0.0416163
Muscovite	0.0415221
Leah	0.0414816
Martina	0.0414767
Welch	0.0414597
Lydia	0.041458
Marulanda	0.0414576
Ince	0.0414567
"Nolan Ryan"	0.0414319
B.J	0.0413819
"El Hage"	0.0412864
Storr	0.0412853
"Ryan Kealy"	0.0412571
Dominique	0.0412533
Solomon	0.0412196
"Muhammad Ali"	0.0412182
Chevenement	0.0411996
))
(chemical (desc 86537.1) (sims
pesticide	0.250891
substance	0.197699
petrochemical	0.184627
machinery	0.182058
fertilizer	0.181813
pollutant	0.181289
material	0.180099
"building material"	0.179502
pharmaceutical	0.177373
textile	0.176748
metal	0.171182
gas	0.170943
toxin	0.164177
electronics	0.156767
drug	0.156149
mineral	0.155979
product	0.154599
oil	0.149944
metallurgy	0.149582
waste	0.148757
petroleum	0.148622
foodstuff	0.147646
equipment	0.147248
fuel	0.147023
"chemical industry"	0.146564
protein	0.145666
"raw material"	0.145169
hormone	0.145024
bacteria	0.144423
contaminant	0.143498
asbestos	0.141634
medicine	0.138155
plutonium	0.137306
insecticide	0.137149
cement	0.135719
automobile	0.135189
dioxin	0.13504
fiber	0.133932
steel	0.133769
goods	0.133724
plastic	0.133327
Coal	0.133
weapon	0.131921
uranium	0.131613
appliance	0.130646
PCBs	0.130506
"household appliance"	0.130361
poison	0.127554
antibiotic	0.126767
nutrient	0.1267
herbicide	0.125759
virus	0.12555
machine-building	0.124817
pollution	0.124497
radiation	0.124254
alcohol	0.123789
"carbon dioxide"	0.122682
Sewage	0.122415
semiconductor	0.121777
processing	0.121699
ingredient	0.119556
fluid	0.118176
food	0.11801
solvent	0.117695
arsenic	0.117423
energy	0.117203
Vaccine	0.116757
garment	0.116704
hydrocarbon	0.116218
"food product"	0.115764
shipbuilding	0.115679
telecommunication	0.115449
component	0.115404
tobacco	0.114992
additive	0.114988
"consumer goods"	0.114761
MTBE	0.114621
sugar	0.11346
acid	0.113141
Liquid	0.112952
"chemical agent"	0.112818
"crude oil"	0.112043
chlorine	0.111985
enzyme	0.110424
nitrogen	0.110374
carcinogen	0.110283
residue	0.109999
water	0.109859
iron	0.109701
molecule	0.109352
"spare part"	0.109176
gasoline	0.109076
fume	0.108924
"chemical compound"	0.108921
timber	0.108908
"home appliance"	0.108611
"motor vehicle"	0.108491
explosive	0.108272
germ	0.108263
emission	0.108012
mining	0.107045
rubber	0.106868
compound	0.105956
manufacturing	0.105559
"natural gas"	0.105541
oxygen	0.105349
technology	0.104824
contamination	0.104364
particle	0.103745
grain	0.103014
"machine tool"	0.102967
commodity	0.102876
beverage	0.101926
cyanide	0.101052
mercury	0.100483
auto	0.100219
fungicide	0.100129
item	0.0999879
ceramic	0.0994411
"nuclear weapon"	0.0990571
munition	0.0986763
footwear	0.098454
detergent	0.0980793
dye	0.097971
dust	0.097635
paint	0.0975438
agriculture	0.0971421
Copper	0.0967087
lumber	0.0966041
marijuana	0.0960797
narcotic	0.0960129
"toxic waste"	0.0957555
ammonia	0.0957183
device	0.0956714
"nitrogen oxide"	0.0951243
"carbon monoxide"	0.09481
technique	0.0944757
vitamin	0.0944056
antioxidant	0.0943364
methanol	0.0943076
cosmetic	0.0939746
medication	0.0936897
"diesel oil"	0.0936156
cocaine	0.0936037
electricity	0.0933824
Clothing	0.0930023
anthrax	0.0928255
lubricant	0.0919694
organism	0.0918386
biotechnology	0.0918222
phosphorus	0.0914825
"fuel oil"	0.0914484
Gene	0.091376
missile	0.0911294
smoke	0.0909793
steroid	0.0907804
cotton	0.0907791
supply	0.0907636
moisture	0.0906588
hardware	0.0905103
firearm	0.0903929
vegetable	0.0903632
fungus	0.0902505
aerospace	0.0902101
microorganism	0.090015
ozone	0.0899759
weaponry	0.0898626
by-product	0.089703
"nerve gas"	0.0896086
herb	0.089519
"electronic equipment"	0.089169
aluminum	0.0891299
disease	0.0888833
benzene	0.088877
meat	0.0886149
microbe	0.0885183
cigarette	0.0881746
industry	0.087901
Garbage	0.0877707
newsprint	0.0877114
pigment	0.0873918
DDT	0.0873422
software	0.0872994
element	0.0871777
handicraft	0.0871011
radioactivity	0.0870511
"information technology"	0.0867587
furniture	0.0867239
insulin	0.0858577
tool	0.085723
pulp	0.0854873
vapor	0.0853845
apparel	0.0853072
transportation	0.0853042
bioengineering	0.0852205
preservative	0.085216
"communications equipment"	0.0851611
powder	0.085046
particulates	0.0847052
engineering	0.0846385
))
("chemical agent" (desc 3312.84) (sims
"nerve gas"	0.193945
Sarin	0.175065
defoliant	0.1673
VX	0.126269
toxin	0.116062
chemical	0.112818
"mustard gas"	0.111768
"poison gas"	0.105817
contaminant	0.105123
plutonium	0.103711
dioxins	0.101564
poison	0.100964
pesticide	0.0998234
chlorine	0.0996223
munition	0.0994433
anthrax	0.097434
"toxic waste"	0.0965544
herbicide	0.0934882
"heavy weapon"	0.0921135
cyanide	0.0909423
"hard drug"	0.090187
"hydrogen sulfide"	0.0891703
"nuclear weapon"	0.0863451
"chemical compound"	0.0851885
weaponry	0.0834794
allergen	0.0830652
"cluster bomb"	0.0823271
ammunition	0.0819278
"land mine"	0.0816511
PCBs	0.0805051
"free radical"	0.0794677
spore	0.0787189
"high explosive"	0.0786812
microorganism	0.0785738
fungicide	0.0780699
germ	0.0780104
CFCs	0.0779964
"nuclear warhead"	0.0775752
"weapons system"	0.0768833
dioxin	0.0760496
preservative	0.0759113
impurity	0.0755688
contraband	0.0750068
"germ warfare"	0.0743476
methanol	0.0742833
residue	0.0733578
insecticide	0.0728145
munitions	0.0723579
napalm	0.0722174
materiel	0.0719185
pathogen	0.0700646
"rocket fuel"	0.0687491
"booby trap"	0.0686694
projectile	0.0679214
uranium	0.0671908
sludge	0.0665302
"carbon monoxide"	0.0665
DDT	0.0662866
solvent	0.0658176
tritium	0.0656763
sperm	0.0653765
warhead	0.0645007
pollutant	0.0644566
rainwater	0.0644228
antibody	0.0636446
ordnance	0.0634471
"Texas Air National Guard"	0.0628634
fungus	0.0628338
arsenic	0.0627231
rollovers	0.0626255
telomerase	0.0626119
hydrocarbon	0.0624103
"explosive device"	0.0623498
Scud	0.0623138
coolant	0.0621643
"carbon dioxide"	0.0618292
microbe	0.0617502
carcinogen	0.0617265
venom	0.0608843
"sex hormone"	0.0604496
helium	0.0601184
opiate	0.0599575
benzene	0.0596661
smallpox	0.0596615
antibiotic	0.0578668
amphetamine	0.0577907
"liquefied petroleum gas"	0.0576522
additive	0.0576463
nutrient	0.0573356
acid	0.0572034
vapor	0.0570872
saliva	0.0565913
resin	0.0564998
fungi	0.0564166
belonging	0.0563219
narcotic	0.056297
bomblets	0.0562438
biogas	0.0562249
"growth hormone"	0.0562125
carbon	0.056154
"mechanical device"	0.0561028
"red blood cell"	0.0559875
hormone	0.0559597
"tear gas"	0.055785
launcher	0.0557026
malathion	0.0556844
asbestos	0.0556068
bacteria	0.0555598
"fatty acid"	0.055396
"building material"	0.0548726
"nitric oxide"	0.0548116
phosphate	0.0545857
"weapon system"	0.0543554
radioactivity	0.0542773
"ultraviolet radiation"	0.0542494
enzyme	0.0540807
"sulfur dioxide"	0.0540242
carnivore	0.054015
"AIDS virus"	0.0538408
isotope	0.0538159
foodstuff	0.0538016
"pig iron"	0.0536794
mini-buses	0.0535751
O@@@:H@	0.0535655
chloride	0.053508
"ballistic missile"	0.0533917
byproducts	0.05318
lubricant	0.0530635
methane	0.0530543
clot	0.0530486
disinfectant	0.052844
olestra	0.0527353
aerosol	0.0526842
hotspots	0.0526489
melatonin	0.0526036
"sulfuric acid"	0.0525232
vermiculite	0.0524368
"catalytic converter"	0.0523029
major-leaguers	0.0520963
"electrical device"	0.0519756
"electronic equipment"	0.0519184
refrigerant	0.0518378
armament	0.0515227
"vital organ"	0.0515075
urine	0.0508666
"poison pill"	0.0507788
"consumer durables"	0.050686
"human growth hormone"	0.050638
briquette	0.0504035
"food product"	0.0503785
"hydrogen peroxide"	0.0502379
pollen	0.0501842
gunpowder	0.0501826
capsaicin	0.0500947
manure	0.0500574
steroid	0.0499763
"cancer cell"	0.0499713
microchip	0.0498339
propellant	0.0496619
insulin	0.049631
bitumen	0.0495968
nitrate	0.0495403
pigment	0.0495206
pest	0.0494859
giardia	0.0493424
sediment	0.0493223
fibroids	0.0492026
"electronic device"	0.049094
"diesel fuel"	0.0490063
cryptosporidium	0.0489835
nitrogen	0.0489101
leptin	0.0487019
gangrene	0.0486669
"fuel oil"	0.0485397
semen	0.048481
"air-to-air missile"	0.0484537
nevirapine	0.0483678
estrogen	0.0481688
"blood cell"	0.0476319
paraphernalia	0.0475355
"communications equipment"	0.0475122
bacterium	0.047484
hydrogen	0.047482
antigen	0.0474697
polymer	0.0474157
truncheon	0.0474014
"diesel oil"	0.0472625
pellet	0.047183
"household appliance"	0.0470481
"nitrous oxide"	0.0468646
phosphorus	0.0461699
nicotine	0.0460935
malignancy	0.0459616
wastewater	0.0458888
ketamine	0.0458662
"air bubble"	0.0458647
testosterone	0.0458434
"lubricating oil"	0.0458017
"official document"	0.0457608
varietals	0.045647
))
("chemical analysis" (desc 1254.52) (sims
sub-index	0.086423
"aircraft part"	0.0838273
"geographical area"	0.0667958
"million tons"	0.0656978
"Gallup Poll"	0.0651547
miniaturization	0.0623871
analyses	0.0608563
"Field Poll"	0.0608067
"test data"	0.0602471
agglomeration	0.0583074
"more than three-fourths"	0.0575457
"circuit board"	0.0573692
"home appliance"	0.0559383
alternator	0.0509405
"medical examination"	0.0495565
sealing	0.0494675
"computer equipment"	0.0484609
resuscitation	0.0475223
perusal	0.0473776
merging	0.0471185
"two boxes"	0.0469604
"point system"	0.0459269
"Ford Foundation"	0.045356
"medical exam"	0.0445983
shoring	0.0445188
Repositioning	0.0435055
"fire control"	0.0429013
knowhow	0.0422015
"Lincoln Center Theater"	0.0419701
"field trial"	0.0418694
sleuthing	0.0416125
soaking	0.0414156
"over @,@@@ tons"	0.0413939
half-dozen	0.041338
Ingestion	0.0407933
Microelectronics	0.0407758
"aircraft engine"	0.0404893
stumping	0.0404641
"sneak preview"	0.0403876
"canned food"	0.0403153
"about @,@@@ acres"	0.0402392
))
("chemical compound" (desc 1974.71) (sims
contaminant	0.118584
antibody	0.110247
substance	0.106154
hydrocarbon	0.103874
"organic compound"	0.100674
"blood cell"	0.099748
"UNIX operating system"	0.0993483
isotope	0.0988865
pesticide	0.0970762
defoliant	0.0969291
toxin	0.096171
enzyme	0.0952405
peptide	0.0949933
microbe	0.0949454
protein	0.0918608
fungicide	0.0902735
additive	0.0898241
herbicide	0.0895627
hormone	0.0881519
bacterium	0.0880048
"rocket fuel"	0.0853691
"chemical agent"	0.0851885
molecule	0.0849085
Radon	0.08444
ephedrine	0.0843855
"subatomic particle"	0.0839648
pigment	0.0831613
antibiotic	0.0830854
"cane sugar"	0.083039
CFCs	0.0825394
stimulant	0.082215
capsaicin	0.0810234
"growth hormone"	0.0809416
"nitrous oxide"	0.0808834
"white blood cell"	0.0801234
PCBs	0.0799385
"amino acid"	0.0796863
antioxidant	0.0796083
insecticide	0.0782398
monstrosity	0.0766257
organism	0.0765118
"nitrogen dioxide"	0.0764678
semen	0.0751751
mineral	0.0748731
bacillus	0.0741317
pollutant	0.0737792
inhibitor	0.0737024
identifier	0.0729942
methanol	0.0728511
vertebrate	0.0727024
amphetamine	0.0725079
coli	0.0725057
"software package"	0.0721305
DDT	0.0719926
Endostatin	0.0714884
cyanide	0.0714872
microorganism	0.0709808
"sound wave"	0.0707858
particle	0.07069
mutation	0.070045
chlorine	0.0698836
"programming language"	0.0695597
plutonium	0.0693135
"free radical"	0.0691354
"essential oil"	0.0690907
bacteria	0.0690368
grabber	0.0687579
asbestos	0.0679759
fungus	0.0675289
arsenic	0.067486
sweetener	0.0674034
"fatty acid"	0.0672388
fungi	0.0671185
ketamine	0.067089
impurity	0.0669531
MDMA	0.0664689
acid	0.0664334
"brain cell"	0.0664284
painkiller	0.0659751
antigen	0.0659374
residue	0.0659204
"mental disorder"	0.0657689
pollen	0.0655097
"carbon dioxide"	0.0654094
vapor	0.0653012
resin	0.0652256
radioactivity	0.0652188
meteorite	0.0649212
"woman's body"	0.0646717
"mineral water"	0.0643594
nutrient	0.0642978
variant	0.0642917
benzene	0.0642735
carnivore	0.0637258
macro	0.063686
"pressure group"	0.0635433
cryptosporidium	0.0635375
"carbon monoxide"	0.0634415
hemoglobin	0.0632137
carbon	0.0628589
solvent	0.0626479
pathogen	0.0625852
algae	0.0624267
uranium	0.0618577
telomerase	0.0616091
interferon	0.0614842
refrigerant	0.0613433
Taxol	0.060595
"explosive device"	0.0602625
"human activity"	0.0600912
"software product"	0.0600155
"life form"	0.0598241
"point system"	0.0598014
"cut of meat"	0.0597734
transnationals	0.0596872
"memory chip"	0.0595813
SNPs	0.0594412
parasite	0.0594329
ephedra	0.059271
caffeine	0.0591589
steroid	0.059002
major-leaguers	0.0587172
"nerve gas"	0.0583622
contraceptive	0.0582186
receptor	0.0582173
chloride	0.0581549
by-product	0.058105
Zonolite	0.0580882
iodine	0.0580151
MTBE	0.0579163
ore	0.0578896
suffix	0.0578524
leptin	0.0573966
malignancy	0.0572085
neurotransmitter	0.0571402
Sarin	0.0570253
particulates	0.0569454
"radio signal"	0.0569012
pseudoephedrine	0.056899
"Y chromosome"	0.0568339
fluoride	0.0568296
dioxins	0.056605
mixup	0.0566021
shredders	0.0565023
anthrax	0.05637
"chemical reaction"	0.0562334
"nitrogen oxide"	0.0561033
chromium	0.0560255
preservative	0.0560109
olestra	0.0559796
tritium	0.0559752
"computer program"	0.0559523
"aircraft part"	0.0559472
RU-@@@	0.055914
"application program"	0.0558962
"caustic soda"	0.0558329
alloy	0.0556968
"business line"	0.055465
Realtor	0.055458
"electronic device"	0.0554473
penicillin	0.0554293
VX	0.0552478
adenovirus	0.054986
"water hyacinth"	0.0548858
straitjacket	0.0547
"computer language"	0.0545552
"poison gas"	0.0544485
gunk	0.0544127
"incentive program"	0.0543247
"vitamin D"	0.0543149
clot	0.0542496
antifreeze	0.0541056
"liquefied petroleum gas"	0.0540109
"social group"	0.0539998
sedative	0.0538679
nitrogen	0.0535754
postmark	0.053571
realpolitik	0.0533975
concoction	0.0533795
highflier	0.0533498
preparers	0.0532785
dioxin	0.0532677
"AIDS virus"	0.0532429
serum	0.0531944
collagen	0.0529596
"speech pattern"	0.0528055
GHB	0.0527481
odor	0.0526445
psychotherapy	0.0525367
"acid rain"	0.0524454
byproducts	0.0522722
"body part"	0.0522091
"catalytic converter"	0.0522048
methane	0.0521969
typeface	0.0521244
T-cells	0.0520754
REITs	0.0517991
hypotheses	0.0517945
ammonia	0.0517359
cipher	0.0516428
))
("chemical engineering" (desc 2065.52) (sims
"mechanical engineering"	0.438484
zoology	0.327558
"electrical engineering"	0.309634
"political science"	0.268083
"civil engineering"	0.263529
biochemistry	0.254102
"comparative literature"	0.251326
"computer science"	0.248006
"physical education"	0.214199
"social work"	0.207705
anthropology	0.198408
meteorology	0.197928
sociology	0.191248
"elementary education"	0.178677
pharmacology	0.178408
Botany	0.178069
"environmental science"	0.176829
"liberal arts"	0.16735
"biological science"	0.167105
"fine arts"	0.166786
microbiology	0.163724
"urban planning"	0.163483
biology	0.161567
criminology	0.160815
mathematics	0.16049
ophthalmology	0.158865
psychology	0.157659
"nuclear physics"	0.151418
biophysics	0.151014
physics	0.145583
engineering	0.145095
physiology	0.143671
theology	0.143649
nursing	0.136967
"earth science"	0.135874
"molecular biology"	0.134935
linguistics	0.134381
psychiatry	0.128809
geology	0.128153
pathology	0.126564
aeronautics	0.125591
Chemistry	0.123062
divinity	0.120681
neuroscience	0.118274
geophysics	0.116362
"social science"	0.113721
"life science"	0.111484
dentistry	0.109519
paleontology	0.106147
horticulture	0.105614
neurology	0.105538
astronomy	0.103871
"physical therapy"	0.10379
"natural science"	0.100425
math	0.0968336
"special education"	0.0953743
agronomy	0.0930102
epidemiology	0.0914553
"veterinary medicine"	0.0903179
Urology	0.0902612
neurobiology	0.088318
bioengineering	0.0855285
genetics	0.0840849
"fine art"	0.0836704
archaeology	0.0813915
Immunology	0.080399
Pediatrics	0.0801875
nutrition	0.0788134
radiology	0.0756881
astrophysics	0.0755775
geography	0.0755684
"information system"	0.0750178
M.A	0.0749718
Talmud	0.074911
"master's degree"	0.0747777
"computer programming"	0.0746786
"preventive medicine"	0.0733893
ecology	0.0725763
gynecology	0.0725178
"artificial intelligence"	0.0706805
"medical science"	0.0704316
"information science"	0.0698716
obstetrics	0.0698127
neuroscientist	0.0694153
archeology	0.0678129
"North Carolina State University"	0.0669643
doctorate	0.0668841
dermatology	0.066636
seismology	0.0652931
"political economy"	0.0650267
forestry	0.0643538
"Media Lab"	0.063094
hydrology	0.0622333
oncology	0.0610607
Toxicology	0.0610024
agribusiness	0.0607521
undergraduate	0.0607241
"Harvard Law School"	0.0603054
"Carnegie Mellon University"	0.0598673
"Baylor University"	0.0596435
Anatomy	0.0594605
jurisprudence	0.059224
"Yale Law School"	0.0587003
"Old Testament"	0.0579597
"teachers college"	0.0575524
"UC Berkeley"	0.0575514
Cardiology	0.0575228
Ph.D	0.0571244
"Fordham University"	0.0570535
"internal medicine"	0.0567506
ecologist	0.0564597
"Michigan State University"	0.0557719
entrepreneurship	0.0556749
oceanography	0.0547048
aerodynamics	0.0546269
"Brandeis University"	0.0545134
geriatrics	0.0539748
MBA	0.0539262
"University of Hawaii"	0.053831
optic	0.053733
"English department"	0.0533043
"New York University"	0.053139
"San Francisco State University"	0.0528216
"Rice University"	0.0526641
M.D	0.0525462
astrophysicist	0.0523725
"Emory University"	0.0523273
"Northwestern University"	0.052169
K-@@	0.0520868
"Harvard Business School"	0.0517198
"Qinghua University"	0.0515142
"Kansas State University"	0.0514819
"Auburn University"	0.05134
ergonomics	0.0513043
"Tufts University"	0.0510879
civics	0.0505779
"criminal law"	0.0503527
"Temple University"	0.0502837
climatologist	0.0499544
"Colorado State University"	0.0495175
"Arizona State University"	0.0491052
"computer graphics"	0.048897
"Hebrew University"	0.048831
metallurgy	0.0485445
"George Washington University"	0.0484512
"University of Wyoming"	0.0481174
"University of Maryland"	0.0477103
B.A	0.0474985
"particle physics"	0.0474923
"law degree"	0.0471268
"bachelor's degree"	0.0469918
second-grade	0.0465791
"University of Arkansas"	0.0464037
CUNY	0.0462462
"Northeastern University"	0.0456778
Hirst	0.0456292
"Iowa State University"	0.0450705
algebra	0.0449508
calculus	0.0449038
"Southern Methodist University"	0.044893
"University of Michigan"	0.0447974
"University of Dayton"	0.0440512
"Georgia State University"	0.044028
"University of Kansas"	0.0439978
"Wright State University"	0.0438052
robotics	0.0436376
Microelectronics	0.0432804
yeshiva	0.0429076
"University of Iowa"	0.0428502
"Williams College"	0.0428295
"Syracuse University"	0.0423139
"city planning"	0.0421698
"Barnard College"	0.0417125
"University of Nebraska"	0.0416635
woodworking	0.0415524
"College of Charleston"	0.0414897
"Ivy League"	0.0414203
Brandeis	0.0412098
Vassar	0.0407548
Korean-American	0.0405904
"University of Oklahoma"	0.0404933
"New Testament"	0.0404808
"Rutgers University"	0.0404004
))
("chemical industry" (desc 9471.34) (sims
metallurgy	0.322652
petrochemical	0.311045
machine-building	0.303107
shipbuilding	0.246324
"building material"	0.246066
"electronics industry"	0.214746
pharmaceutical	0.21178
textile	0.196568
electronics	0.196155
bioengineering	0.192438
forestry	0.191289
mining	0.187432
telecommunication	0.187354
"animal husbandry"	0.183422
aviation	0.176659
petroleum	0.176135
agriculture	0.171118
processing	0.167109
manufacturing	0.163198
machinery	0.161284
biotechnology	0.158487
"automobile industry"	0.156143
fishery	0.154868
"household appliance"	0.151612
aerospace	0.150585
"high technology"	0.147459
chemical	0.146564
conservancy	0.144784
"coal industry"	0.143139
refining	0.142169
"electric power"	0.139355
tourism	0.137663
"information technology"	0.136884
"home appliance"	0.135164
transportation	0.133852
automobile	0.13174
Microelectronics	0.131613
foodstuff	0.131389
engineering	0.131092
aeronautics	0.125903
industry	0.12588
transport	0.123695
mineral	0.123064
meteorology	0.122319
"consumer durables"	0.120657
handicraft	0.119463
aquaculture	0.118969
"mineral resource"	0.118793
irrigation	0.117364
"construction industry"	0.116538
appliance	0.115518
"real estate"	0.115264
ceramic	0.115219
cement	0.112764
"nuclear energy"	0.111989
agricultural	0.111852
Telecoms	0.11168
"oil industry"	0.111439
Coal	0.111346
"public utility"	0.110967
sector	0.110932
banking	0.110142
"consumer goods"	0.109621
"shipbuilding industry"	0.109605
energy	0.10908
husbandry	0.108749
"machine tool"	0.10839
steel	0.108128
"public security"	0.10772
fertilizer	0.107494
garment	0.107232
"road construction"	0.106552
agronomy	0.106334
"medical science"	0.106229
"steel production"	0.105166
shipping	0.103473
"raw material"	0.102712
"public works"	0.102391
construction	0.101191
"life science"	0.101134
high-tech	0.100932
hydropower	0.100473
automation	0.099006
electricity	0.0987732
farming	0.0986576
commerce	0.0981608
"banking industry"	0.0979289
semiconductor	0.097488
railway	0.0974512
metal	0.0972104
Chemistry	0.0971667
timber	0.0964625
"specialty chemical"	0.0954065
auto	0.0953559
infrastructure	0.0952451
"nuclear power"	0.0946132
"natural resource"	0.0936844
"information science"	0.0936208
"higher education"	0.0935737
horticulture	0.0927373
"food product"	0.0921769
"industrial enterprise"	0.0918899
geology	0.0909953
footwear	0.0907631
retailing	0.0902194
communication	0.0898409
iron	0.0896439
"transportation system"	0.0895659
medicine	0.0894841
"motor vehicle"	0.0891189
agribusiness	0.0889129
grain	0.0884967
"veterinary medicine"	0.0877295
fibre	0.0869797
beverage	0.0868386
subsector	0.0868005
aquiculture	0.0865108
warehousing	0.0864523
oil	0.0864367
conservation	0.0859836
packaging	0.0853516
"social welfare"	0.0849638
"solar energy"	0.083971
catering	0.0833284
enterprise	0.0833265
export-oriented	0.0831848
breeding	0.0825927
desalination	0.0823682
exploration	0.0818357
aquatics	0.0816771
Telecom	0.0815122
"computer industry"	0.0813516
by-product	0.0802682
plastic	0.0802118
"consumer electronics"	0.0798112
resource	0.0797909
ecology	0.0796075
wholesale	0.0789613
"genetic engineering"	0.0789113
"iron ore"	0.0783522
"water supply"	0.0783007
lubricant	0.0782917
industrialization	0.0782539
apparel	0.0780767
"securities market"	0.0780047
state-owned	0.0779241
"insurance market"	0.0777275
medium-sized	0.0777272
"pig iron"	0.0776927
utilization	0.0768779
"natural gas"	0.0766396
"apparel industry"	0.076561
"urban planning"	0.0757793
"postal service"	0.0757044
sanitation	0.0752622
"medical instrument"	0.0749355
"labor force"	0.0747993
fishing	0.0745856
"film industry"	0.0744113
biology	0.0743599
cosmetic	0.0742332
"retail sale"	0.0740896
"power company"	0.0739595
pulp	0.0736393
afforestation	0.0732499
ore	0.0731891
utility	0.0731534
broadcasting	0.0729788
cultivation	0.0726589
rubber	0.0723638
"housing industry"	0.0723566
goods	0.0720342
"land resource"	0.0718001
electric	0.0716662
medical	0.0715481
"flood control"	0.07152
"health service"	0.0715188
aluminum	0.0710686
Livestock	0.07104
"spare part"	0.0708863
"textile mill"	0.0705788
navigation	0.0704912
Housing	0.0704597
"oil production"	0.0700578
"power system"	0.0699536
"crude oil"	0.0695524
insurance	0.069366
printing	0.069217
"consumer credit"	0.0691001
commodity	0.0689005
"social service"	0.0685381
"diesel oil"	0.0683196
"electrical power"	0.0682906
"power grid"	0.068244
"state enterprise"	0.0678167
tobacco	0.0676144
biotech	0.0675893
"securities industry"	0.067586
"debt market"	0.0674053
"computer technology"	0.0671182
))
("chemical reaction" (desc 2891.07) (sims
"chain reaction"	0.0917261
mutation	0.0815012
"market correction"	0.0784334
spillage	0.0767403
combustion	0.0752933
rollovers	0.074328
"nuclear explosion"	0.0731691
temblor	0.0723065
mishap	0.0710784
"social contract"	0.0681756
angiogenesis	0.0680531
"sonic boom"	0.0679572
"price war"	0.0666411
clotting	0.0654752
"volcanic eruption"	0.0649827
foul-up	0.064764
isotope	0.0646571
clot	0.064421
mudslide	0.0641414
mixup	0.064108
interaction	0.0631955
seepage	0.0631034
"dog bite"	0.0628871
groundswell	0.0625682
warming	0.0623016
metabolism	0.061581
"flash flood"	0.0614996
"human activity"	0.0610152
"fatal accident"	0.0609498
tsunami	0.0609207
eruption	0.0604197
"moral hazard"	0.0593027
"asthma attack"	0.0588721
fermentation	0.0582209
side-effects	0.05816
derailment	0.0581479
"legal principle"	0.0579705
rupture	0.0579578
"free radical"	0.0579288
disharmony	0.0578141
malfunction	0.0575175
ruckus	0.057383
"engine failure"	0.057222
misunderstanding	0.056568
"chemical compound"	0.0562334
"plant disease"	0.0561327
"short circuit"	0.0554597
meltdowns	0.0554038
oscillation	0.0553348
ignition	0.0553275
firefights	0.0549585
microorganism	0.0547455
cataclysm	0.0546171
break-in	0.054604
friction	0.0545382
disconnection	0.0543958
phenomena	0.0541712
decomposition	0.0540363
"policy change"	0.0540266
"computer language"	0.0539663
"tidal wave"	0.0537209
shakeout	0.0536444
thawing	0.0536034
"power failure"	0.0535679
"electric current"	0.0534881
calamity	0.0534705
parley	0.0531601
"blood clot"	0.0531409
mix-up	0.0529626
"health check"	0.0529626
boomlet	0.0528883
snafu	0.0526778
peptide	0.0526734
landslide	0.0525551
divergence	0.0525165
conflagration	0.0523245
"point system"	0.0519934
alchemy	0.0516541
"dramatic event"	0.0512987
flare-up	0.0512902
"crime wave"	0.0512802
stampede	0.0512187
"work stoppage"	0.0511703
dislocation	0.0510935
crosscurrent	0.0510542
"life form"	0.050981
nastiness	0.0507171
"ice crystal"	0.0506686
discoloration	0.0505022
tremor	0.0503099
"temperature change"	0.0502804
evaporation	0.0502636
Venting	0.0501182
scuffle	0.0500193
brownout	0.0500039
"New Wave"	0.0499656
vibration	0.0499336
firestorm	0.0499291
"sexual activity"	0.0497918
fracas	0.0497312
redefinition	0.0496453
"bomb blast"	0.049539
fertilization	0.0494933
"atmospheric condition"	0.049318
"detective work"	0.0492774
"genetic disease"	0.0492075
"gamma ray"	0.0492005
miscarriage	0.0491867
"water table"	0.0490574
pileup	0.0489822
"mental disorder"	0.0489363
"car bomb"	0.0487879
outage	0.0487625
misjudgment	0.0487569
altercation	0.0483767
corrosion	0.0483532
"cash crunch"	0.0482789
"forest fire"	0.0481542
"essential oil"	0.0477967
contretemps	0.0477887
"arms race"	0.0476935
commotion	0.0475952
"nitrous oxide"	0.0474703
"utility program"	0.0474366
interrelationship	0.0472841
"crop failure"	0.0472143
bloodbath	0.0471567
"explosive device"	0.0471178
Psychosis	0.0470813
sell-off	0.0469922
collusion	0.0469438
miscalculation	0.0468555
stoppage	0.046807
enzyme	0.0467593
outages	0.046743
exodus	0.0466971
enumeration	0.0466956
"wear and tear"	0.0466736
detonation	0.0466639
"animal disease"	0.0466379
fungicide	0.0466018
microbe	0.0465895
cross-pollination	0.0464791
"oil slick"	0.0464231
regression	0.0462825
updraft	0.0461729
fluctuation	0.0461147
squall	0.0460874
aftershock	0.0460599
photosynthesis	0.0460323
"violent death"	0.0459129
depletion	0.0457907
"life cycle"	0.0457148
"management change"	0.045693
"radio signal"	0.0455298
"medical practice"	0.0454984
toxicity	0.0454812
"margin call"	0.0454755
fistfight	0.0454259
"amino acid"	0.0454125
sell-offs	0.0453495
snit	0.04534
schism	0.045256
supercomputer	0.0452186
replication	0.0451951
"law of nature"	0.0451755
outpouring	0.0451198
colloquy	0.0450778
"accounting problem"	0.0450575
hemorrhage	0.0449873
telomerase	0.0448747
inhalation	0.0448019
furor	0.0447805
"social event"	0.0447319
subgenre	0.0447291
"alarm bell"	0.044709
bonding	0.0447056
"Opium War"	0.0446885
weakening	0.0446742
slipup	0.0446657
"brush fire"	0.044636
subculture	0.0445904
thundershowers	0.044584
stagecraft	0.0445834
irregularity	0.0445778
"surgical procedure"	0.0445627
"state of affairs"	0.0445538
realignment	0.0445349
gunbattle	0.0444866
"brain drain"	0.0444146
hyperinflation	0.0444062
"Hurricane Hugo"	0.0443145
"difference of opinion"	0.0442434
downpour	0.0441586
gentrification	0.0441351
abnormality	0.0440535
molecule	0.0440097
"air current"	0.0439975
fissure	0.043903
hallucination	0.0438652
))
("chemical warfare" (desc 1251.9) (sims
"germ warfare"	0.252751
"biological warfare"	0.245036
counterintelligence	0.11798
counterterrorism	0.114328
defoliant	0.112859
"electronic warfare"	0.107134
propulsion	0.106501
nuclear-weapons	0.102388
Os	0.101203
"psychological warfare"	0.0983169
"poison gas"	0.090211
"proxy fight"	0.0861211
Sarin	0.0856574
"ground attack"	0.0831539
"Self-Defense Forces"	0.0818237
telemedicine	0.0817803
anthrax	0.0801289
weaponization	0.0798749
"William Morris"	0.0792587
"ballistic missile"	0.0792388
"civil defense"	0.0786734
decontamination	0.0783797
"mustard gas"	0.0778183
"surface ship"	0.0770609
leasing	0.0767529
germ	0.0766144
"nerve gas"	0.0750788
"atomic bomb"	0.074904
VX	0.0747655
"hostile takeover"	0.0733646
imaging	0.0727385
"air defense"	0.0718518
X-@@	0.0716047
ICBM	0.0705742
forwarding	0.0705607
annihilation	0.0702894
"secret police"	0.0691666
"Shin Bet"	0.0687615
REALTY	0.0674131
"Super League"	0.0671996
"Drug Enforcement Administration"	0.0668108
"regular army"	0.0658307
"electronic surveillance"	0.0651185
Americorps	0.0641556
beautification	0.06345
airstrike	0.0632933
forensics	0.0632625
Nuke	0.0629736
GSS	0.0628925
plainclothes	0.0625979
"surface-to-air missile"	0.0625394
napalm	0.062165
"North Korean"	0.0620056
"guided missile"	0.0616846
reforestation	0.0611441
scuba	0.0610143
self-defense	0.0602697
"money changer"	0.0595952
"rocket engine"	0.0594873
enrichment	0.0594685
"U.S. Customs Service"	0.0592096
"rocket fuel"	0.058852
Gurkha	0.0587257
"product development"	0.0585259
"Council of Economic Advisers"	0.0584766
"computer operation"	0.0583607
"information gathering"	0.0580762
privatisation	0.0579912
"word processing"	0.0575316
"soil conservation"	0.0570482
declassification	0.0565847
filibuster	0.056463
"U.S. Immigration and Naturalization Service"	0.0561381
infantry	0.0558679
"lead poisoning"	0.0558041
beryllium	0.0550936
"night time"	0.0550795
"fiber optics"	0.0546653
"Delta Force"	0.0544758
THAAD	0.0544487
ICM	0.0543833
foreclosure	0.0543369
Gestapo	0.0541906
gunboat	0.0541197
CPA	0.0537076
multibillion	0.0535128
"artificial intelligence"	0.0534488
AEC	0.0532284
landmine	0.0531676
conflagration	0.0530506
"crowd control"	0.0530428
Boomerang	0.0529238
"coal gas"	0.0527922
"nuclear explosion"	0.0525515
"intelligence operation"	0.052236
stealth	0.0520186
"New Jersey State Police"	0.0519785
IC	0.0519422
playback	0.0517666
"solar power"	0.0517074
C-@@@J	0.0515754
"NFL Players Association"	0.0515723
GEMINI	0.0511919
"first aid"	0.051104
sonar	0.0510795
"Delta @"	0.0510116
dragnet	0.0509719
deterrence	0.0509109
"Windows Media Player"	0.0507437
reinvestment	0.050702
"food poisoning"	0.0506496
self-protection	0.0504293
"communicable disease"	0.0503143
"adult education"	0.0502493
intifada	0.0502071
ODA	0.0501745
destabilization	0.0501448
"Paramount Pictures"	0.0501278
al-Sahaf	0.049979
coloring	0.0498349
"British Army"	0.0498098
martial-arts	0.0496879
firewalls	0.0494345
"National Police"	0.0493682
"character assassination"	0.0492218
"number crunching"	0.048998
"World Vision"	0.0489612
"computer graphics"	0.0488711
M@@	0.0486875
weight-loss	0.0486685
"preventive medicine"	0.0486005
"data processing"	0.0485662
brinksmanship	0.0483994
"Trojan Horse"	0.0483337
"computer application"	0.0483031
NSA	0.0483015
reconnaissance	0.0482592
Botox	0.0482
"neutron bomb"	0.0481801
sterilization	0.0481533
"blood transfusion"	0.0480668
"HIV/ AIDS"	0.0480113
A@XX	0.0480098
naturalization	0.0479206
"ultraviolet radiation"	0.0478431
Thirty-nine	0.0478421
"Internal Affairs"	0.0477661
videophone	0.0477563
"cluster bomb"	0.0477089
"hair spray"	0.0476949
ergonomics	0.0476897
Toxicology	0.0476781
spreadsheet	0.0476226
"Air National Guard"	0.0475395
"social assistance"	0.0473797
tailpipe	0.047181
surety	0.0469914
copycat	0.046887
ragtag	0.0467998
Microelectronics	0.0467445
"battering ram"	0.0467441
NMD	0.0466362
refrigeration	0.0466201
"substance abuse"	0.0464711
vandalism	0.0464328
Jasenovac	0.0462951
"mass transit"	0.0462229
"sign language"	0.0461328
"Hughes Electronics"	0.0461182
"Weight Watchers"	0.0460015
GEF	0.0459679
Lycra	0.0458588
"Texas Air National Guard"	0.045708
detoxification	0.0456274
"Intelligence Ministry"	0.045618
"road construction"	0.0455794
biogas	0.0454655
tsunami	0.0454013
Concealment	0.0450313
"caller ID"	0.0450176
shipbuilding	0.045013
"Special Forces"	0.0449047
"Joint Strike Fighter"	0.0448973
"Russian Interior Ministry"	0.0448284
Cyrix	0.0447791
"dog bite"	0.0447527
Stasi	0.0447479
polygraph	0.0447382
adventurism	0.0446235
OPIC	0.0445567
"foul play"	0.0444303
reemployment	0.0444278
"Sea Launch"	0.0444185
IRGC	0.0442768
"night vision"	0.0442594
leprosy	0.0442049
"R&AMP;D"	0.0441793
hedging	0.0441538
"direct action"	0.0441452
hydraulics	0.0440787
))
("Chemical Weapons Convention" (desc 1406.81) (sims
"Nuclear Non-Proliferation Treaty"	0.319768
"Comprehensive Nuclear Test Ban Treaty"	0.278692
VFA	0.246316
"Kyoto Protocol"	0.244487
"Lusaka Peace Accord"	0.20641
"United Nations Convention"	0.190061
"START II"	0.183008
"U.N. Convention"	0.182001
CTBT	0.17986
"Free Trade Agreement"	0.172333
CWC	0.166969
"Comprehensive Test Ban Treaty"	0.152958
"International Convention"	0.145939
"Lusaka Protocol"	0.142915
"International Covenant"	0.141173
"Montreal Protocol"	0.138654
"legal instrument"	0.135993
Russian-U.S.	0.135056
CRC	0.125281
"Sino-Portuguese Joint Declaration"	0.117501
"Joint Declaration"	0.116883
"Vienna Convention"	0.112434
NPT	0.110507
"Stability Pact"	0.108194
"Lahore Declaration"	0.107785
"executive program"	0.106117
"trade agreement"	0.104825
"Damascus Declaration"	0.101447
covenant	0.0999707
"labor agreement"	0.0962221
"Oslo Accords"	0.0949336
"Beijing Declaration"	0.0905591
"North American Free Trade Agreement"	0.0903624
FTA	0.0856982
"Oslo Accord"	0.0835245
"U.N. Resolution @@@"	0.0834652
"U.N. Security Council Resolution @@@"	0.0810584
"general agreement"	0.0806808
"expansion plan"	0.0798751
"Wye River"	0.0795995
"intellectual property rights"	0.0795376
"Southern Africa Development Community"	0.0794815
"U.S. Constitution"	0.0773126
"Framework Agreement"	0.0768381
"maritime law"	0.0755024
Wye	0.0751118
memoranda	0.0749383
"Sino-British Joint Declaration"	0.0743557
"Voting Rights Act"	0.0725116
AFTA	0.0713069
"memorandum of understanding"	0.0705895
"labor contract"	0.0701309
Shays-Meehan	0.0700229
"East African Community"	0.0680039
"ASEAN Free Trade Area"	0.0679914
drachma	0.067328
"military mission"	0.0672531
"Telecommunications Act"	0.0669518
"Proposition @"	0.0655996
"Free Trade Area"	0.0653028
"European Convention"	0.0650258
"Resolution @@@@"	0.0648039
NATO-led	0.0641293
"European Union's"	0.0633877
mainlanders	0.0630375
"purchase agreement"	0.0620298
"Philippine Senate"	0.0619302
Sheikh	0.0617421
"Maastricht Treaty"	0.0616579
"Resolution @@@"	0.0613693
MOU	0.0613663
"letter of intent"	0.0599032
"Agenda @@@@"	0.0598249
"Criminal Procedure Law"	0.0594535
"General Agreement on Tariffs and Trade"	0.0593972
"Joint Military Commission"	0.0582856
Sharia	0.0579124
"Helms-Burton Act"	0.057758
"Joint Statement"	0.0574178
"Marshall Plan"	0.0565742
"Rwandan Patriotic Front"	0.056571
RU-@@@	0.0563295
"Community Reinvestment Act"	0.0558241
el-Sheikh	0.0555781
"Plan Colombia"	0.0552199
Helms-Burton	0.0552027
"Lome Convention"	0.0551512
"permanent normal trade relations"	0.0550836
"Uruguay Round"	0.0550512
deportee	0.0545853
armistice	0.0537211
"value added tax"	0.0533534
"Economic and Monetary Union"	0.0530502
"Geneva convention"	0.0525253
Reauthorization	0.0525075
mifepristone	0.0524397
Ita	0.0518984
NAFTA	0.0518385
Non-Proliferation	0.0515641
"African Economic Community"	0.0515001
"employment contract"	0.0503476
"Universal Declaration"	0.0502612
"Vision @@@@"	0.0497933
"written agreement"	0.0494205
"trade policy"	0.0490142
"customs union"	0.0489628
"bank withdrawal"	0.0488934
Belarusian	0.0487852
"lending institution"	0.0483526
"two pitchers"	0.0482134
Demutualization	0.0478156
"merger agreement"	0.0476915
fatwa	0.0476691
CPN-ML	0.047515
"New Deal"	0.0471827
"safety standard"	0.0469955
medium-term	0.0466288
"code of conduct"	0.0459947
"Star Alliance"	0.0458779
fora	0.0457775
"Proposition @@@"	0.045654
"Fabrizio Ravanelli"	0.0453409
"Kosovo Verification Mission"	0.0452008
irradiation	0.0450807
"Clean Water Act"	0.0447781
NYPD	0.044759
bodysuits	0.0447235
"ABM Treaty"	0.0445492
"policy change"	0.04443
"Nationality Law"	0.0440139
"Kim Jong-pil"	0.0439659
"criminal law"	0.0438644
Relenza	0.0438402
joining	0.0436883
NMD	0.043579
GEF	0.0434142
"trade bill"	0.0432773
"Bora Milutinovic"	0.043126
Paez	0.0424045
delimitation	0.0423817
multi	0.0422135
Foxx	0.042109
ADP	0.0419848
"Article @"	0.0418644
"Albanian Kosovars"	0.0418369
"Stock Exchange of Thailand"	0.041758
PNTR	0.0417404
"Joint Liaison Group"	0.0416108
"League of Nations"	0.0415816
airstrike	0.041442
"Fourth World Conference"	0.0414202
opprobrium	0.0412862
"Clean Air Act"	0.0410563
aquaculture	0.040912
"sea lane"	0.0407006
fact-finding	0.0406359
"British government"	0.0406282
Propulsid	0.0405461
"organic law"	0.0405056
macroeconomics	0.0404244
"Texas Air National Guard"	0.0403808
instructions	0.0402567
"Proposition @@"	0.0402541
"compromise plan"	0.0400051
))
(chemist (desc 12790.1) (sims
mathematician	0.155746
physicist	0.14839
biologist	0.140912
geologist	0.133569
scientist	0.131379
engineer	0.124548
researcher	0.112408
astronomer	0.111314
geophysicist	0.110843
"computer scientist"	0.110367
pathologist	0.105216
technician	0.0995431
archaeologist	0.0992216
"computer programmer"	0.097955
paleontologist	0.0978433
biochemist	0.0956352
anthropologist	0.0954457
"electrical engineer"	0.0952874
geneticist	0.0940527
psychologist	0.0940455
accountant	0.0929343
historian	0.0926524
linguist	0.089678
oceanographer	0.0891446
veterinarian	0.0890022
astrophysicist	0.0883593
immunologist	0.0880094
seismologist	0.0876907
"mechanical engineer"	0.0872831
Programmer	0.0864349
botanist	0.0855479
archeologist	0.0843614
"aerospace engineer"	0.0841763
professor	0.0835078
sculptor	0.0834219
copywriter	0.0824365
architect	0.0819631
entomologist	0.0819212
theologian	0.0813707
sociologist	0.0811738
"graphic artist"	0.0806573
"naval officer"	0.080181
scholar	0.0800778
educator	0.0791617
neurologist	0.0790298
toxicologist	0.0786781
"graduate student"	0.0786638
"art historian"	0.078499
naturalist	0.0784729
physician	0.0783686
"social worker"	0.077601
specialist	0.0771483
surgeon	0.0769897
designer	0.0769463
internist	0.0767048
philosopher	0.0766058
carpenter	0.0765158
therapist	0.0762987
meteorologist	0.0755272
agronomist	0.0754546
"software engineer"	0.0749623
psychiatrist	0.0748252
painter	0.0742885
electrician	0.0735985
welder	0.0733135
stockbroker	0.0728331
radiologist	0.072091
"civil engineer"	0.0720551
inventor	0.0719115
technologist	0.0714617
physiologist	0.0713445
seamstress	0.0713416
gynecologist	0.0707624
medic	0.0707078
cosmologist	0.0705298
"air force officer"	0.0704862
consultant	0.0696335
microbiologist	0.0696174
bookkeeper	0.0695967
librarian	0.069425
plumber	0.0693073
zoologist	0.0686807
planner	0.0684731
auditor	0.0683924
writer	0.068252
pharmacist	0.068195
illustrator	0.0680868
"management consultant"	0.0680584
horticulturist	0.0680403
ecologist	0.0676675
schoolteacher	0.067443
nurse	0.06737
epidemiologist	0.0671049
mechanic	0.067067
investigator	0.0669048
"investment banker"	0.0663986
lecturer	0.0661876
stuntman	0.0661521
economist	0.0661193
nutritionist	0.0660265
salesman	0.0659365
dentist	0.0653616
"English professor"	0.0647982
pharmacologist	0.0646804
clergyman	0.0644769
"account executive"	0.0635359
statistician	0.0635069
cardiologist	0.0633567
"intelligence officer"	0.0629382
translator	0.0628428
academician	0.0628405
"foreign service officer"	0.0627947
photographer	0.0626778
"assistant professor"	0.0625098
pediatrician	0.0624054
developer	0.0623303
entrepreneur	0.0619499
"medical student"	0.0617203
CPA	0.0616729
"computer expert"	0.0615469
"interior designer"	0.0615247
"army officer"	0.0614623
cartoonist	0.0614438
"landscape architect"	0.0613192
"truck driver"	0.0611234
neuroscientist	0.0610177
fisherman	0.0608695
composer	0.060773
clerk	0.0607433
academic	0.0606435
builder	0.0604401
dermatologist	0.0603777
instructor	0.0603751
poet	0.0602404
"real estate broker"	0.0599887
musician	0.0597067
pianist	0.0594386
jurist	0.0593418
conservationist	0.0591512
"faculty member"	0.0588696
"altar boy"	0.0588272
firefighter	0.0582196
paramedic	0.0581373
sleuth	0.0579112
"eye doctor"	0.0577852
Industrialist	0.0577467
chef	0.0575893
journalist	0.0573604
assistant	0.0573116
waitress	0.0572977
"sea captain"	0.0572642
optometrist	0.0571953
forester	0.0571274
gardener	0.0570663
"stock trader"	0.0568908
missionary	0.0567947
beekeeper	0.0567942
"social scientist"	0.0566574
surveyor	0.0564874
infantryman	0.0564859
"disc jockey"	0.0564798
policeman	0.0564551
receptionist	0.056425
paralegal	0.0563874
novelist	0.0563549
"project manager"	0.0563065
janitor	0.0562579
"network administrator"	0.0560442
detective	0.056039
supervisor	0.0557417
"FBI agent"	0.0556781
psychoanalyst	0.0556231
"staff sergeant"	0.055413
"intelligence agent"	0.0552572
administrator	0.05525
"real estate agent"	0.0551441
banker	0.0551435
handyman	0.055099
restorer	0.0550452
experimenter	0.0548119
choreographer	0.0547425
archivist	0.054394
dancer	0.0542626
whistleblower	0.0542473
magician	0.0542433
"test pilot"	0.0542227
inspector	0.0536334
organist	0.0536279
"registered nurse"	0.0534272
oncologist	0.0533761
animators	0.0533371
anesthesiologist	0.0533158
climatologist	0.0533064
"fashion designer"	0.0533044
"government officials"	0.0532656
stylist	0.0531708
"insurance agent"	0.0531363
craftsmen	0.0530467
nobleman	0.0529893
counselor	0.0529873
))
(Chemistry (desc 37470) (sims
biology	0.210121
physics	0.195788
"computer science"	0.171851
mathematics	0.167146
biochemistry	0.165682
physiology	0.155775
psychology	0.148273
geology	0.143629
astronomy	0.141473
engineering	0.136993
anthropology	0.133679
pharmacology	0.128995
economics	0.128444
zoology	0.127642
sociology	0.126886
math	0.126266
geography	0.123481
"mechanical engineering"	0.123274
"chemical engineering"	0.123062
science	0.11801
"electrical engineering"	0.115185
"life science"	0.11481
genetics	0.110227
meteorology	0.108172
metallurgy	0.10774
linguistics	0.107542
philosophy	0.10594
"earth science"	0.10395
"political science"	0.103398
"environmental science"	0.101423
"information science"	0.101396
"nuclear physics"	0.100886
"civil engineering"	0.100491
"social science"	0.0998531
"medical science"	0.0997657
calculus	0.0989972
"molecular biology"	0.0973999
"chemical industry"	0.0971667
ecology	0.0970758
medicine	0.0969454
neuroscience	0.0957977
machine-building	0.0941459
Microelectronics	0.0934038
"natural science"	0.0932798
bioengineering	0.0930073
literature	0.092384
"physical education"	0.0917313
astrophysics	0.0913068
Botany	0.0906732
electronics	0.0904517
energy	0.0880597
microbiology	0.0875204
architecture	0.0869912
ethic	0.0868971
"social work"	0.0867939
biotechnology	0.086603
Journalism	0.0845412
nutrition	0.0838986
geometry	0.0834368
"biological science"	0.0833742
pathology	0.0827166
communication	0.0819629
algebra	0.0819543
Anatomy	0.0818058
"liberal arts"	0.0816831
toughness	0.0816792
oceanography	0.0806646
theology	0.080377
ability	0.0797753
chemical	0.0792935
dynamic	0.0791001
attitude	0.0787955
petrochemical	0.0786361
technology	0.078427
health	0.0781712
skill	0.0780856
personality	0.0778318
quality	0.0777735
civics	0.0777389
interaction	0.0770706
history	0.075664
discipline	0.0754145
talent	0.0754145
composition	0.0752084
finance	0.0748871
education	0.0748535
technique	0.074485
rapport	0.0743448
camaraderie	0.0741084
archaeology	0.0739499
teamwork	0.0738162
design	0.0738001
consistency	0.0735286
agriculture	0.0733685
psychiatry	0.0731585
computing	0.0731294
evolution	0.0730904
dynamics	0.0730247
"building material"	0.0728359
timing	0.0728001
nursing	0.072594
epidemiology	0.0723127
Immunology	0.07219
pharmaceutical	0.0721705
charisma	0.0720601
"information technology"	0.071971
English	0.0717134
motivation	0.0708322
paleontology	0.0708077
confidence	0.0704198
management	0.0699233
environment	0.0696353
relationship	0.0693762
intelligence	0.0691488
depth	0.0690368
structure	0.0688495
balance	0.068793
strength	0.0683967
art	0.0682063
"fine arts"	0.0679403
atmosphere	0.0678688
intimacy	0.0677281
nature	0.0677113
stamina	0.0676477
behavior	0.0675915
forestry	0.0675146
rhythm	0.0674139
"urban planning"	0.0673358
emotion	0.06702
intensity	0.0670055
makeup	0.0667174
climate	0.066679
experience	0.0665163
"running game"	0.0664743
sense	0.066446
optic	0.0661128
credibility	0.0659171
cosmology	0.0658406
aeronautics	0.0656632
pitching	0.0655414
logic	0.0654487
diversity	0.0653931
temperament	0.065243
"information system"	0.0651803
humanity	0.0651129
language	0.0650944
automation	0.0648263
mentality	0.064785
religion	0.0647013
machinery	0.0646981
material	0.0646185
habit	0.0643931
style	0.064325
telecommunication	0.0642943
theory	0.0642403
culture	0.0639222
cohesion	0.0639115
knowledge	0.0638641
self-esteem	0.0634074
accounting	0.0628907
pattern	0.0628712
quickness	0.0628413
poetry	0.0625932
shipbuilding	0.0625315
archeology	0.0624913
feeling	0.062417
instinct	0.0622934
genomics	0.062256
marketing	0.0620188
neurology	0.0617351
processing	0.0617285
understanding	0.0616617
writing	0.0615485
spirit	0.0613191
politics	0.0608634
vision	0.060843
aviation	0.060815
passion	0.060702
concept	0.0605927
character	0.06053
textile	0.0601811
poise	0.0600145
dentistry	0.0596377
perception	0.0596215
continuity	0.0596051
mindset	0.0594446
identity	0.0593885
excitement	0.0592402
aerospace	0.059093
mechanic	0.0590893
Creativity	0.0589366
function	0.0587338
"game plan"	0.0587234
horticulture	0.0586631
"staying power"	0.0585413
research	0.0585189
synergy	0.0585019
honesty	0.0583536
professionalism	0.0583141
ego	0.0582875
))
(Chemo (desc 1682.39) (sims
chemotherapy	0.222497
dialysis	0.119014
AZT	0.11824
Herceptin	0.115718
radiotherapy	0.103995
placebo	0.100834
psoriasis	0.0927964
TPA	0.0895068
radiation	0.0893949
nevirapine	0.0884712
psychotherapy	0.0851012
outpatient	0.0844388
opiate	0.084211
methadone	0.0839133
antihistamine	0.0826973
detoxification	0.0812524
interferon	0.0811742
STD	0.0810651
lifesaving	0.0809793
LASIK	0.0795493
acupuncture	0.0755708
thalidomide	0.0739942
radium	0.0734911
"vitamin E"	0.072888
chiropractic	0.0723427
"physical therapy"	0.0711216
mastectomy	0.0709577
hemophilia	0.0705979
"bone marrow"	0.0696283
painkiller	0.0695506
glaucoma	0.0689001
als	0.0685007
ADHD	0.0684726
beryllium	0.0679544
mifepristone	0.0672211
"fire drill"	0.0664806
"nuclear physics"	0.0664161
"audio CD"	0.0659969
CRT	0.0658771
weight-loss	0.0654715
angioplasty	0.065424
narcolepsy	0.0645159
antibiotic	0.0637542
Endostatin	0.0636074
handshaking	0.0634902
leptin	0.0630042
cortisone	0.0622481
inpatient	0.0618408
ENBREL	0.0613944
angiogenesis	0.0612112
aromatherapy	0.0609071
prostate	0.060669
hGH	0.0606188
"multiple sclerosis"	0.0605829
Cs	0.0605665
Relenza	0.0600181
"cystic fibrosis"	0.0595041
angiostatin	0.0594874
"solar radiation"	0.0592446
physicals	0.0588794
"digestive system"	0.0586603
"blood test"	0.0579689
telomerase	0.0579055
TCM	0.0578003
"rheumatoid arthritis"	0.0577315
CGI	0.0576747
melatonin	0.0568786
Zoloft	0.0568752
liposuction	0.0561519
regimen	0.0556226
"X-ray machine"	0.0554988
"medical practice"	0.0552476
estrogen	0.0548595
CPR	0.0546229
"air current"	0.0544122
morphine	0.0540417
epilepsy	0.0540369
"medical check-up"	0.0537575
"Doug Pederson"	0.0537287
mammogram	0.0536803
mammograms	0.0535953
aspirin	0.0535528
Botox	0.0534477
transfusion	0.0533808
two-a-days	0.0532159
"economic theory"	0.0531554
Rezulin	0.0529767
"Balkan Wars"	0.0529339
bodybuilding	0.0526397
zodiac	0.0526273
"electric shock"	0.0525508
ICU	0.0523808
"phone jack"	0.05217
"growth hormone"	0.0520927
ventilator	0.0520927
"fifth and sixth"	0.0520814
migraine	0.0519665
perquisite	0.0519545
"clean slate"	0.0519373
megamergers	0.0512513
anti-inflammatory	0.0512327
"prostate gland"	0.0509777
inhibitor	0.0509701
"morning sickness"	0.0504472
infertility	0.0503881
leukemia	0.05035
"employment contract"	0.0503375
"saber rattling"	0.0502312
GSP	0.0500259
"margin call"	0.0497746
contraceptive	0.0496708
anesthesia	0.0495446
"baking soda"	0.0493198
"English Football Association"	0.0492878
"rest day"	0.04926
"Home Run Derby"	0.0491599
tamoxifen	0.0491067
"interest rate increase"	0.0490663
"NEC Invitational"	0.0488678
menopause	0.0488628
spiel	0.0486926
Ritalin	0.0486567
baldness	0.048635
Parkinson's	0.0485687
Avonex	0.0483231
vasectomy	0.0479592
"medical checkup"	0.0479269
hepatitis	0.0477804
comeuppance	0.0476885
"substance abuse"	0.0476427
co-payment	0.0475396
firestorm	0.0473741
resuscitation	0.047328
lupus	0.0469704
p@@	0.0462238
"blood transfusion"	0.0462164
selloffs	0.0460496
fallback	0.0459907
arthritis	0.0459181
puberty	0.0458295
"telephone wire"	0.0456989
"Memorial Tournament"	0.0455236
disinfectant	0.0454797
Propecia	0.0454237
"food poisoning"	0.0454127
windup	0.0454059
MFN	0.0453779
"hay fever"	0.0453402
facelift	0.0453303
UVA	0.0453115
"lung cancer"	0.0449585
"positive feedback"	0.0448294
"all clear"	0.0447597
"Mastercard Colonial"	0.0447324
biopsy	0.0447053
floppy	0.0446497
add-on	0.0445857
comp	0.044585
"final exam"	0.0445054
"brokerage account"	0.0444728
Rabies	0.0444112
arsenic	0.0443135
Xenical	0.0442683
headcount	0.0442228
"Dan Cloutier"	0.044023
neutron	0.0440155
"day of rest"	0.0439284
wideouts	0.0439147
"hypodermic needle"	0.0439054
"Western Open"	0.0437751
"gamma ray"	0.0435731
Osteoporosis	0.0435636
Vioxx	0.0435311
"form letter"	0.0434255
"Beth Israel"	0.0433276
debriefing	0.0433146
"cerebral palsy"	0.0433114
hypnosis	0.043187
"top billing"	0.0431202
CF	0.0430938
"National Invitation Tournament"	0.0429445
beta	0.0429187
decontamination	0.0428245
"nuclear family"	0.0426136
apnea	0.0425845
paraffin	0.0425424
minicamps	0.0425046
heatwave	0.0423833
acne	0.0422582
"head count"	0.0422459
cataract	0.0421795
"three to four"	0.0421603
"slide rule"	0.0420267
lovefest	0.0419166
anesthetic	0.0418842
heartburn	0.0416293
Contraception	0.0414895
indoctrination	0.0414483
"tax treatment"	0.0414479
"vitamin D"	0.0414284
))
(chemotherapy (desc 21205) (sims
Chemo	0.222497
therapy	0.19099
AZT	0.164054
transplant	0.15379
surgery	0.143611
treatment	0.142833
antibiotic	0.141655
medication	0.139508
radiotherapy	0.137914
radiation	0.137017
interferon	0.130743
Herceptin	0.129272
dialysis	0.117258
tamoxifen	0.114645
drug	0.113831
angioplasty	0.106242
"physical therapy"	0.104072
psychotherapy	0.103531
Vaccine	0.10191
placebo	0.101702
biopsy	0.0953117
acupuncture	0.095106
estrogen	0.0927946
anesthesia	0.0910745
"blood transfusion"	0.0896688
painkiller	0.0895101
ENBREL	0.0894269
pill	0.0869032
inhibitor	0.0860733
"blood test"	0.085209
transfusion	0.0838725
mastectomy	0.0837955
dose	0.0833897
regimen	0.0827922
hypnosis	0.0824218
injection	0.0814546
leukemia	0.0814506
cancer	0.0814366
hormone	0.0813205
Endostatin	0.0811915
"surgical procedure"	0.0811851
methadone	0.0798089
hospitalization	0.0796363
aspirin	0.0795609
viagra	0.0789777
medicine	0.0787209
transplantation	0.0773235
"heart attack"	0.0767835
penicillin	0.0766765
vaccination	0.0765022
nevirapine	0.076387
"medical checkup"	0.0759347
opiate	0.0757939
rehabilitation	0.0754588
testing	0.0753076
implant	0.0749111
sedative	0.0748844
antihistamine	0.0739127
"Parkinson's disease"	0.0736515
pneumonia	0.0735224
infection	0.0733587
glaucoma	0.0733353
illness	0.0731122
morphine	0.0729191
insulin	0.0728686
counseling	0.0726819
diabetes	0.0726548
"rheumatoid arthritis"	0.0718699
hemophilia	0.0717065
tranquilizer	0.0713508
"lung cancer"	0.07072
"multiple sclerosis"	0.070332
detoxification	0.0702911
disease	0.0696324
"plastic surgery"	0.0694968
Avonex	0.0693899
x-ray	0.0687098
care	0.0680698
mammograms	0.0679163
steroid	0.0676987
leptin	0.0676824
cure	0.0674306
"growth hormone"	0.0672138
Ritalin	0.067001
TPA	0.066999
"eye disease"	0.066995
screening	0.0668524
Zoloft	0.066618
raloxifene	0.0663317
trauma	0.0658907
ultrasound	0.0653243
scan	0.0652245
herbicide	0.065133
hepatitis	0.0649956
"medical examination"	0.0644907
"bone marrow"	0.0634187
recuperation	0.0633303
contraceptive	0.0632651
spraying	0.0632375
"medical care"	0.0631115
Depression	0.0631035
"heart disease"	0.0630986
procedure	0.0629606
thalidomide	0.0623761
mifepristone	0.0623148
lymphoma	0.061452
checkup	0.0613789
anesthetic	0.0610095
epilepsy	0.0609119
Prozac	0.0608131
"electric shock"	0.060809
infertility	0.0601254
melanoma	0.0597682
"side effect"	0.0597401
tumor	0.0596777
examination	0.0596007
"sleeping pill"	0.0592757
Alcoholism	0.0591887
"vitamin E"	0.0590352
"cardiovascular disease"	0.0590131
anemia	0.058984
ulcer	0.0588389
"first aid"	0.0588043
schizophrenia	0.0586765
prostate	0.0586641
Zyvox	0.0586113
"brain tumor"	0.0585837
arthritis	0.0585248
"food poisoning"	0.058336
migraine	0.0582228
"medical check-up"	0.0581854
Diet	0.0579342
pesticide	0.0576458
Rezulin	0.0575304
stroke	0.0574204
HIV	0.0573063
Osteoporosis	0.0571137
flu	0.0568989
liposuction	0.0567586
Relenza	0.0566399
heartburn	0.056548
"colon cancer"	0.0565455
drought	0.0565432
"cystic fibrosis"	0.0562881
asthma	0.0562514
CPR	0.055925
diagnosis	0.0558617
Celebrex	0.0557636
blocker	0.055553
chemical	0.0554631
removal	0.0552709
ADHD	0.0551754
cocktail	0.0551248
pacemaker	0.0548714
diarrhea	0.0548227
pain	0.0547082
rehab	0.0546971
defibrillators	0.0545849
"prescription drug"	0.0543892
"magnetic resonance imaging"	0.0541563
massage	0.0541044
Botox	0.0541022
LASIK	0.0536302
prescription	0.0536008
exposure	0.0535934
Exam	0.0534813
insecticide	0.0534595
prognosis	0.0527403
alcohol	0.052539
remedy	0.0523079
technique	0.0522925
facelift	0.0522019
"rehabilitation program"	0.0520333
stimulation	0.0519746
hypertension	0.0519349
combination	0.051887
virus	0.0518603
"genetic engineering"	0.051611
Parkinson's	0.051433
incontinence	0.0514319
MRI	0.0513944
overdose	0.0513013
symptom	0.0510505
relapse	0.050775
"high blood pressure"	0.0507367
ailment	0.0505966
toxin	0.0503909
"day of rest"	0.0503592
ordeal	0.0503134
vitamin	0.0502792
ketamine	0.0501566
mutation	0.0500109
chlorine	0.0500084
complication	0.0499494
"cost cutting"	0.0497323
Xenical	0.0497201
creatine	0.0496399
supplement	0.0494124
"face lift"	0.0493501
pregnancy	0.0490694
))
(Chen (desc 26212) (sims
Wang	0.193663
Wu	0.186501
Zhang	0.183275
Li	0.175015
Hu	0.169142
xu	0.164997
Liu	0.163511
Zhu	0.156119
Zhou	0.155605
Wei	0.155035
Yang	0.154407
Qiao	0.152279
Qian	0.150826
Zhao	0.149866
LU	0.147439
Shi	0.143891
Yu	0.141887
Jiang	0.137599
Zeng	0.136592
Luo	0.13445
Jia	0.132586
Fu	0.130393
Cheng	0.128788
Xie	0.128636
Huang	0.127638
Zou	0.127189
Tung	0.127161
Shen	0.125968
Kim	0.125819
wen	0.122689
Lin	0.122128
guo	0.121646
Chissano	0.117146
Qin	0.117082
Schroeder	0.113787
Lim	0.11323
tang	0.111386
Tsang	0.110622
Mbeki	0.11055
Wahid	0.110305
Fischer	0.110109
Khai	0.110104
Lee	0.109863
Putin	0.109654
Khatami	0.10925
Goh	0.108962
Blair	0.108572
Phieu	0.108015
Obasanjo	0.107706
Estrada	0.107514
Weizman	0.107446
Cao	0.106981
Chavez	0.106727
Pastrana	0.106308
Cohen	0.105477
Mugabe	0.104902
Stoyanov	0.104747
Chirac	0.104486
Dai	0.10438
Peng	0.103284
Qu	0.102685
Chi	0.102643
Museveni	0.101737
Kasoulides	0.101266
Chan	0.100479
Tian	0.100399
Mandela	0.100315
Liang	0.0999792
Peres	0.099438
Daley	0.0993316
Cardoso	0.099231
Schumer	0.0991835
"de Charette"	0.0987477
Menem	0.0979475
Trimble	0.0978466
Ramos	0.0978346
Velayati	0.0977843
Annan	0.0976939
Obuchi	0.0975028
Wolfensohn	0.0974228
Ye	0.0973187
McCurry	0.0968947
Constantinescu	0.0968815
Blatter	0.0964705
Berisha	0.0963869
Wong	0.0959902
Hasina	0.0958751
Primakov	0.095831
Salim	0.0956319
Chuan	0.0954458
Cem	0.0953621
Kuchma	0.0947101
Ma	0.0946985
Hariri	0.0943074
Rafsanjani	0.0941096
Clerides	0.0940565
Nazarbayev	0.0940302
Kharrazi	0.0940049
Zeroual	0.0934885
Chiluba	0.0931191
Ecevit	0.0930771
Simitis	0.0928993
Yeltsin	0.0928144
Xiao	0.0927298
Albright	0.0924077
Rubin	0.0921799
Rong	0.092047
Guterres	0.091396
Nujoma	0.0913443
Mubarak	0.0912219
Fujimori	0.0909039
Hashimoto	0.090506
Deng	0.0902119
Mkapa	0.0901395
Aleman	0.0896073
Sharif	0.089584
Aziz	0.08927
Jospin	0.0890061
Castro	0.0890023
Giuliani	0.0887636
Richardson	0.0886257
Chung	0.0884594
Ivanov	0.0884491
Seleznyov	0.0884021
Bradley	0.0882475
Lau	0.088095
Bush	0.0877506
McCain	0.0877066
Zheng	0.0874844
Samaranch	0.0873205
Greenspan	0.0870241
Jin	0.0866549
Sergeyev	0.0866127
Draskovic	0.086578
Ciller	0.0864685
Mordechai	0.0864062
Ren	0.0863641
Vajpayee	0.086336
Chretien	0.0863288
Demirel	0.086169
Hassan	0.0861551
Lukashenko	0.0861509
Mahathir	0.0860056
Zedillo	0.0859808
Rugova	0.085976
Solana	0.0859191
Barak	0.0857539
Wilson	0.0857444
Howard	0.0855975
Saleh	0.0855872
Ikimi	0.0855828
Kumaratunga	0.0854222
gore	0.0853942
Brittan	0.0853584
Nasrallah	0.0852694
Moi	0.0847146
Kinkel	0.0845639
Brundtland	0.0845199
Fernandez	0.0844411
Chavalit	0.0844123
Leung	0.0843973
Bulatovic	0.0843191
Koo	0.084302
Berger	0.0842908
"Li Peng"	0.0841998
Netanyahu	0.0841026
Camdessus	0.0840814
Adams	0.0840324
Luzhkov	0.0838982
Mori	0.0838867
Prodi	0.0838418
Moussa	0.083667
Sezer	0.0836063
"Hun Sen"	0.0836024
Patterson	0.0835868
Leghari	0.0833903
Berenson	0.0831191
Cho	0.0829823
Xiong	0.0827583
smith	0.0826846
Clinton	0.082606
Milutinovic	0.0825051
Pataki	0.0824587
Dini	0.0823319
Jayakumar	0.0822985
Cai	0.082244
Sha	0.082041
Nzo	0.0820202
Vedrine	0.081786
Kang	0.0817549
DOLE	0.0816947
Megawati	0.0814879
Boueiz	0.0812543
Santer	0.0812436
Ding	0.08117
Donohue	0.0810248
perry	0.0809621
Arafat	0.0806177
Jovanovic	0.0805101
Zuma	0.0805082
))
("Chen Gang" (desc 1215.72) (sims
"Gong Ruina"	0.379339
"Ji Xinpeng"	0.357142
"Dai Yun"	0.332845
"Xia Xuanze"	0.295638
"Ye Zhaoying"	0.276605
"Dong Jiong"	0.276292
"Budi Santoso"	0.269813
"Gong Zhichao"	0.262834
"Peter Rasmussen"	0.247911
"Zhang Ning"	0.247081
"Rashid Sidek"	0.236786
"Ong Ewe Hock"	0.235652
"Joko Suprianto"	0.232718
"Wang Hui"	0.230052
Hendrawan	0.227336
"Heryanto Arbi"	0.226848
"Taufik Hidayat"	0.21628
"Mia Audina"	0.207366
"Wang Chen"	0.203189
"Yu Zhuocheng"	0.201607
"Wang Liqin"	0.198568
"Wang Yan"	0.197117
"Paul Johnson"	0.180977
"Ma Lin"	0.180836
"Li Fang"	0.179773
"Yang Ying"	0.177964
"Liu Guoliang"	0.177842
"Simon Archer"	0.176212
"Jorgen Persson"	0.175814
"Camilla Martin"	0.172484
"Kong Linghui"	0.17199
"Chen Jing"	0.170844
"Wang Nan"	0.162253
"Susi Susanti"	0.161971
"Peter Nicol"	0.160352
"Qin Yiyuan"	0.157569
"Poul-Erik Hoyer-Larsen"	0.15359
"Li Ju"	0.151901
Starzz	0.146462
"Fung Permadi"	0.145214
"Arnaud Di Pasquale"	0.135287
"Rodney Eyles"	0.135286
"Carlos Costa"	0.13165
"Wang Tao"	0.129511
"Albert Portas"	0.128243
"Asa Carlsson"	0.128065
"Simona Amanar"	0.126514
"Francisco Clavet"	0.12596
"Yang Yang"	0.125645
"Li Jiajun"	0.124776
Berasategui	0.124564
"Jean-Philippe Gatien"	0.121895
"Marcelo Filippini"	0.120186
Ulihrach	0.119589
"Vladimir Samsonov"	0.119358
"Naoko Sawamatsu"	0.118896
"Galo Blanco"	0.11718
"Peter Gade Christensen"	0.116974
"Sarah Pitkowski"	0.116932
"Alberto Berasategui"	0.116909
"Thomas Johansson"	0.116679
"Hernan Gumy"	0.116298
"Nathalie Dechy"	0.116231
"Wang Yifu"	0.115879
"Chen Lu"	0.11392
"Del Harris"	0.113571
RedHawks	0.113106
"Jerome Golmard"	0.112966
"Partizan Belgrade"	0.112382
Taufik	0.112012
"Irina Slutskaya"	0.11198
"Zoran Primorac"	0.110628
"Dalian Wanda"	0.108821
"Arnaud Boetsch"	0.108625
"Deng Yaping"	0.108489
"Qin Huasun"	0.10807
"Tatiana Panova"	0.107976
"Mike Sirotka"	0.107775
"Magdalena Maleeva"	0.106766
"Magui Serna"	0.106538
"Amy Frazier"	0.106396
"Arnaud Clement"	0.105961
"Anjelika Krylova"	0.105779
"Jan-Ove Waldner"	0.104733
"Xiong Ni"	0.104625
Lareau	0.104334
"Sargis Sargsian"	0.104004
"Oksana Kazakova"	0.103938
"Karim Alami"	0.103767
"Vincent Spadea"	0.103014
"Guy Forget"	0.101987
"Javier Sanchez"	0.101901
Edberg	0.101849
"Fabrice Santoro"	0.101582
"Todd Woodbridge"	0.1004
"Fernando Meligeni"	0.100339
"Stefan Edberg"	0.100261
"Chanda Rubin"	0.0998777
"Renzo Furlan"	0.0993086
"Jon Lieber"	0.0992765
"Felix Savon"	0.0986619
gamecock	0.0986458
Tarango	0.0983744
"St. Bonaventure"	0.0978037
Stephenville	0.0971581
"Kimiko Date"	0.09694
"Andreas Vinciguerra"	0.0967946
Kroslak	0.0967821
"Ruxandra Dragomir"	0.0963224
"Wu Yanyan"	0.096133
"Brian Moehler"	0.0956326
"Silvia Farina"	0.0955184
"Allen Johnson"	0.0951815
"Jonathan Stark"	0.0951462
"Yayuk Basuki"	0.0950146
"Jeff Tarango"	0.0945374
"Andrei Pavel"	0.0944102
Hawkeyes	0.0941191
"Sandrine Testud"	0.0940097
"Marc Rosset"	0.0938886
"Maria Butyrskaya"	0.0937648
"Tara Snyder"	0.0935977
"Scarlet Knights"	0.093473
"Sjeng Schalken"	0.0929326
"Alexei Nemov"	0.0926791
"Mark Gardner"	0.0922848
Nicol	0.0921063
"Jason Stoltenberg"	0.0920568
"Mariano Puerta"	0.091987
"Richard Fromberg"	0.0919679
"Wang Wei"	0.0918071
"Elena Berezhnaya"	0.0917152
"Anke Huber"	0.0917026
"Andres Gomez"	0.0916782
"Kieren Perkins"	0.0915626
"Christian Ruud"	0.0913278
"John Van Lottum"	0.0907029
"Pedro Astacio"	0.0906296
"John Godina"	0.0906201
"Shawn Estes"	0.0903562
"American Todd Martin"	0.0901011
"Ge Fei"	0.0899436
Swardt	0.0898095
"Fu Mingxia"	0.0897714
"Arantxa Sanchez Vicario"	0.0895945
"David Palmer"	0.0895091
"Alberto Costa"	0.0893745
"Barbara Rittner"	0.0893137
"Li Xuemei"	0.0893062
"Julie Halard-Decugis"	0.0886402
"Slavia Prague"	0.0884825
Huskers	0.0884412
"UC Santa Barbara"	0.088418
"Barbara Paulus"	0.0884136
"Michael Stich"	0.0883532
"Andrei Medvedev"	0.0882683
"Adrian Voinea"	0.0881899
"Roger Federer"	0.0879679
"Claudia Pechstein"	0.0879518
"Franco Squillari"	0.0879129
Kile	0.087812
"Steve Parris"	0.0877007
"Mariano Zabaleta"	0.087679
"Juan Antonio Marin"	0.0875786
"Guo Jingjing"	0.0874251
"Joannette Kruger"	0.0874151
"Liu Yong"	0.0868772
"Kim Clijsters"	0.0868308
Raoux	0.0867147
"Neville Godwin"	0.0866615
"Deon Hemmings"	0.0864271
x@@	0.0862142
"Golden Hurricane"	0.0860415
Halard-Decugis	0.0859219
"Velez Sarsfield"	0.0856105
"Rexy Mainaky"	0.0855405
"David Prinosil"	0.0854666
"Sebastien Grosjean"	0.0852494
"Sergi Bruguera"	0.0851991
"Guillaume Raoux"	0.0851509
"Wang Chunlu"	0.0851084
"Els Callens"	0.0850894
"Judith Wiesner"	0.0850857
"Andrew Ilie"	0.0850544
"Mark Crear"	0.0849663
Clavet	0.0847534
Minutemen	0.0846833
"Dominique Van Roost"	0.0846677
"Felix Mantilla"	0.0842612
"Bohdan Ulihrach"	0.0841753
"Chinese Taipei"	0.083964
"Colo Colo"	0.0838184
"Guangdong Hongyuan"	0.0837897
Mantilla	0.0835888
Lobos	0.083215
spikers	0.0831413
"Michael Tebbutt"	0.0830315
"Le Jingyi"	0.0829552
"Guangdong Tigers"	0.0829472
"Leander Paes"	0.082927
))
("Chen Hua" (desc 1080.73) (sims
"Brooke Bennett"	0.236454
"Lin Li"	0.235857
"Li Jiajun"	0.230276
"Denis Pankratov"	0.224139
"Daniel Kowalski"	0.223623
"Penny Heyns"	0.209872
"Wang Yifu"	0.203199
"Liu Limin"	0.199996
"Samantha Riley"	0.199911
"Michelle Smith"	0.197096
"Tom Dolan"	0.189152
"Regina Jacobs"	0.187831
"Wang Wei"	0.184649
"Sandra Voelker"	0.180245
"Chen Lu"	0.176448
"Chen Yan"	0.175822
"Susie O'Neill"	0.17137
"Maria Mutola"	0.169909
"Le Jingyi"	0.169802
"Jenny Thompson"	0.169449
"Fu Mingxia"	0.158348
"Gary Hall"	0.157698
"Claudia Poll"	0.157442
"Yang Yang"	0.155011
"Wu Yanyan"	0.153447
"Gary Hall Jr."	0.150879
"Guo Jingjing"	0.15068
"Michael Klim"	0.148585
"Amy van Dyken"	0.147038
"Wang Chunlu"	0.14445
Hoogenband	0.142927
"Sonia O'Sullivan"	0.138359
"Tian Liang"	0.136918
"Elena Berezhnaya"	0.136642
"Inge de Bruijn"	0.136441
"Alexander Popov"	0.135658
"Ian Thorpe"	0.135023
"Kieren Perkins"	0.133069
"Jeremy Wotherspoon"	0.132767
"Lenny Krayzelburg"	0.13219
"Grant Hackett"	0.131336
"Li Xuemei"	0.128861
"Gianni Romme"	0.126711
"Gabriela Szabo"	0.126221
"Jearl Miles-Clark"	0.125319
"Svetlana Masterkova"	0.124641
"Irina Privalova"	0.124086
"Fatuma Roba"	0.122694
"Martina Moravcova"	0.120927
"Wang Junxia"	0.120594
"Claudia Pechstein"	0.120568
"Yang Wei"	0.120198
"Wilson Kipketer"	0.118251
"Renate Goetschl"	0.115835
"Koji Ito"	0.109915
"Alexei Urmanov"	0.109797
Ottey	0.10893
"Ye Zhaoying"	0.10682
"Anjelika Krylova"	0.105573
"Allen Johnson"	0.104542
"Liu Guoliang"	0.103543
"Yu Zhuocheng"	0.103526
spikers	0.103264
"Noureddine Morceli"	0.102505
Longo	0.101998
Krayzelburg	0.101498
"Fiona May"	0.101257
Goetschl	0.100412
"Wang Yan"	0.0990782
Devers	0.0982638
"Charles Austin"	0.097578
Sautin	0.0969703
Meissnitzer	0.096568
Jayasinghe	0.096405
"Dong Jiong"	0.0952284
"Oksana Kazakova"	0.0946431
Fredericks	0.0942144
"Derrick Adkins"	0.0940524
"Kong Linghui"	0.0923273
Klim	0.0920388
"Irina Slutskaya"	0.0918794
"Simona Amanar"	0.0918118
"John Godina"	0.0912433
"Deng Yaping"	0.0911689
"Linford Christie"	0.0905417
"Paul Tergat"	0.0901258
"Deon Hemmings"	0.0897314
"Marie-Jose Perec"	0.0895825
"Wang Nan"	0.0891963
"Mary Slaney"	0.08869
Meng	0.0881651
"Alexei Nemov"	0.0881237
"Martin Schmitt"	0.0877097
"Ato Boldon"	0.087613
cager	0.086904
"Mia Audina"	0.0867713
"Shannon Miller"	0.0867031
"Ji Xinpeng"	0.0863987
Guerrouj	0.0859015
"Hiroyasu Shimizu"	0.0855236
ZHOUSHAN	0.0853081
"Liu Xuan"	0.085194
"Ge Fei"	0.0847876
Seizinger	0.0843858
"Xiong Ni"	0.0840546
"Susi Susanti"	0.0839685
"Merlene Ottey"	0.0839486
Loroupe	0.0838322
"Katja Seizinger"	0.083794
"Hicham El Guerrouj"	0.0837251
Ertl	0.0831768
"Bruny Surin"	0.0824654
"Ricky Subagja"	0.0824066
"Susanthika Jayasinghe"	0.082348
Boldon	0.0821977
"Gail Devers"	0.0821214
"Chen Jing"	0.0819399
"Gong Zhichao"	0.0816121
"Felix Savon"	0.0814028
"Pernilla Wiberg"	0.0809049
Kipketer	0.0807822
"Alexei Yagudin"	0.0807321
"El Guerrouj"	0.0806842
"Rintje Ritsma"	0.0806415
"Frankie Fredericks"	0.080441
"Bjarte Engen Vik"	0.0803395
"Bernard Barmasai"	0.0797138
Szabo	0.0797052
"Cathy Freeman"	0.0796622
Yan	0.0795616
"Haile Gebrselassie"	0.0791347
Aamodt	0.0788679
"Maria Butyrskaya"	0.0783919
shuttlers	0.0778596
Heyns	0.0776579
"Michael Doohan"	0.0775943
"Wang Tao"	0.0774666
"Picabo Street"	0.0774625
"Ivan Pedroso"	0.0774505
"Li Ju"	0.0767123
"Tom Steels"	0.076524
"Johan Museeuw"	0.0764505
"Gunda Niemann-Stirnemann"	0.0762017
Gebrselassie	0.0759514
"Mark Crear"	0.075895
"Vanessa Atler"	0.0757957
"Deborah Compagnoni"	0.0751153
"Svetlana Khorkina"	0.0749335
"Colin Jackson"	0.0748909
Adkins	0.074058
"Maurice Greene"	0.0739905
Godina	0.0737506
"Stacy Dragila"	0.0733825
"Dominique Moceanu"	0.0731506
vaulter	0.0730492
"Moses Tanui"	0.0730188
Bruijn	0.0728656
weightlifter	0.0726971
Tomba	0.0726297
"David Reid"	0.0724144
"Lasse Kjus"	0.0721275
Turgeon	0.0719609
"Elvis Stojko"	0.0719246
"Ma Lin"	0.0719125
"Tommi Makinen"	0.071391
Nakamura	0.0712789
"Oksana Baiul"	0.0712682
Perec	0.071179
"Heike Drechsler"	0.0711581
Dosedel	0.0709945
"Michelle Kwan"	0.0706728
"Buster Douglas"	0.0704111
"Li Na"	0.0702863
"Colin McRae"	0.0702509
"Dan O'Brien"	0.0695976
"Dara Torres"	0.069435
Popov	0.0692645
"Hermann Maier"	0.0691032
Maier	0.0689927
Wiberg	0.0689901
"Christine Arron"	0.0685729
"Marina Anissina"	0.0682695
"Donovan Bailey"	0.06814
Susanti	0.0681002
"Jorgen Persson"	0.0680017
"Tara Lipinski"	0.067735
"Max Biaggi"	0.0675534
Yi	0.0674503
"Dai Yun"	0.067321
lifter	0.0670947
"Tourism Authority of Thailand"	0.0668246
"Katarina Witt"	0.0665762
"Todd Eldredge"	0.0665552
Hickman	0.0664172
"Isolde Kostner"	0.0662029
Doohan	0.06606
"Carl Lewis"	0.0658564
"Ivan Ivankov"	0.0655614
paddler	0.0650383
"Lu Yufu"	0.0649765
))
("Chen Jing" (desc 2235.59) (sims
"Fung Permadi"	0.34029
"Wang Shi-Ting"	0.222624
"Li Ju"	0.220995
"Dong Jiong"	0.20258
"Janet Lee"	0.201326
"Yu Zhuocheng"	0.200379
"Liu Guoliang"	0.197086
"Jean-Philippe Gatien"	0.194819
"Jorgen Persson"	0.189813
"Mia Audina"	0.187549
"Ji Xinpeng"	0.179237
"Rashid Sidek"	0.178388
"Ong Ewe Hock"	0.177148
"Deon Hemmings"	0.176838
Hendrawan	0.175255
"Felix Savon"	0.174973
"Wang Yifu"	0.174315
"Elena Berezhnaya"	0.17414
"Wang Tao"	0.173621
"Zoran Primorac"	0.173384
"Joko Suprianto"	0.171127
"Chen Gang"	0.170844
"Daniel Kowalski"	0.170284
"Rodney Eyles"	0.168223
"Wang Hui"	0.166461
"Partizan Belgrade"	0.165452
"Svetlana Masterkova"	0.164987
"Peter Rasmussen"	0.163789
"Sandra Voelker"	0.162846
"Kong Linghui"	0.162039
"Vladimir Samsonov"	0.159619
"Derrick Adkins"	0.159294
"Li Fang"	0.158592
"Alexei Nemov"	0.158128
"Yang Ying"	0.156883
"Irina Slutskaya"	0.156591
"Wang Liqin"	0.155722
"Gary Hall"	0.152448
"Fatuma Roba"	0.150052
"Fiona May"	0.149853
"Wang Chen"	0.149045
"Rainer Schuttler"	0.148637
"Brooke Bennett"	0.148411
"Ye Zhaoying"	0.14817
"Gong Zhichao"	0.147215
"Leander Paes"	0.146918
"Albert Portas"	0.146316
"Charles Austin"	0.146012
"Chen Lu"	0.14592
"Jerome Golmard"	0.14525
"Galo Blanco"	0.14473
"Allen Johnson"	0.14448
"Franco Squillari"	0.14377
"Zhang Ning"	0.143439
"Li Jiajun"	0.142765
"Gong Ruina"	0.142753
"Peter Nicol"	0.142649
"Sarah Pitkowski"	0.141552
"Adrian Voinea"	0.141116
"Karim Alami"	0.140676
"Marc Rosset"	0.139876
"Alexei Urmanov"	0.139679
"Sergi Bruguera"	0.138623
"Oksana Kazakova"	0.137933
"Jonathan Stark"	0.137897
"Susie O'Neill"	0.135817
"Tatiana Panova"	0.134539
"Maria Butyrskaya"	0.134372
"John Godina"	0.134199
"Magdalena Maleeva"	0.133835
"Liu Limin"	0.133651
"Neville Godwin"	0.13335
"Tom Dolan"	0.133264
"Wang Nan"	0.133078
"Xavier Malisse"	0.133016
"Budi Santoso"	0.131481
"Simon Archer"	0.131261
"Roger Federer"	0.131232
"Mariano Zabaleta"	0.12904
"Jan-Ove Waldner"	0.12887
"Cathy Freeman"	0.128728
"Heryanto Arbi"	0.128475
"Filip Dewulf"	0.128388
"Oksana Baiul"	0.128128
"Amy Frazier"	0.12768
"Ricky Subagja"	0.127546
"Dai Yun"	0.127064
"Camilla Martin"	0.126479
"Peter Gade Christensen"	0.126301
"Anne Kremer"	0.124947
"Naoko Sawamatsu"	0.124571
"Paola Suarez"	0.124366
"Claudia Poll"	0.123767
"Deng Yaping"	0.123666
"Lasse Kjus"	0.12279
"Katja Seizinger"	0.122719
"Fu Mingxia"	0.122567
"Andrei Pavel"	0.122299
"Poul-Erik Hoyer-Larsen"	0.121985
"Nathalie Dechy"	0.12138
"Kieren Perkins"	0.120662
"Frankie Fredericks"	0.120515
"Susi Susanti"	0.120136
"Renzo Furlan"	0.119553
"Florencia Labat"	0.119404
"Christian Ruud"	0.119349
Shuwei	0.118455
"Cheah Soon Kit"	0.118234
"Richard Krajicek"	0.118139
"Ge Fei"	0.11784
"Penny Heyns"	0.117368
"Alberto Costa"	0.117332
"Michelle Smith"	0.116987
"Marina Anissina"	0.116739
"Deborah Compagnoni"	0.116505
"Simona Amanar"	0.116171
"Paul Johnson"	0.116023
"Slava Dosedel"	0.115363
"Barbara Schwartz"	0.114661
"Todd Woodbridge"	0.11449
"Sjeng Schalken"	0.114397
"Kenneth Carlsen"	0.11367
"Magui Serna"	0.1135
"Francisco Clavet"	0.113137
"Sargis Sargsian"	0.112802
"Scott Draper"	0.111759
"Sabine Appelmans"	0.111641
"Donovan Bailey"	0.111253
"Petr Korda"	0.111209
"Hernan Gumy"	0.111088
"Le Jingyi"	0.111062
"Xia Xuanze"	0.11102
"Kim Taek Soo"	0.110993
"Qin Yiyuan"	0.110973
"Judith Wiesner"	0.110783
"Amy van Dyken"	0.11061
"Felix Mantilla"	0.110602
"Katarina Witt"	0.110318
"Yang Yang"	0.110245
"Sebastien Grosjean"	0.110079
"Denis Pankratov"	0.109809
"Maria Mutola"	0.109772
"Arnaud Di Pasquale"	0.109756
"Kim Clijsters"	0.109253
"Richard Fromberg"	0.109041
"Dennis Mitchell"	0.108613
"Michael Stich"	0.108509
"Mikael Tillstrom"	0.108484
Susanti	0.108416
Zamalek	0.108272
"Andrew Ilie"	0.107828
"Richey Reneberg"	0.107638
"Marcelo Filippini"	0.107476
Jing	0.107243
"Jeff Tarango"	0.106971
"Joannette Kruger"	0.106952
"Javier Sanchez"	0.106948
"Alexander Popov"	0.106792
"Olympiakos Piraeus"	0.106731
"Kimiko Date"	0.106682
"Silvia Farina"	0.10666
"Fabrice Santoro"	0.106372
"David Prinosil"	0.105779
"Miriam Oremans"	0.105643
"Elvis Stojko"	0.105384
"Denisa Chladkova"	0.105296
"Anjelika Krylova"	0.10529
"Asa Carlsson"	0.10509
"Arnaud Clement"	0.105002
"Heike Drechsler"	0.104775
"Carlos Moya"	0.104707
"Max Mirnyi"	0.104358
"Jana Novotna"	0.104264
"Paul Tergat"	0.104022
"Wang Yan"	0.103957
Nacional	0.103876
Penarol	0.103743
"Anita Wachter"	0.103613
"Jennifer Capriati"	0.103552
"Samantha Riley"	0.103108
"Ma Lin"	0.102909
"Slavia Prague"	0.102896
"Noureddine Morceli"	0.102808
"Vincent Spadea"	0.102396
"Kinder Bologna"	0.102391
"Susanthika Jayasinghe"	0.102016
"Els Callens"	0.101826
"Mark Woodforde"	0.101576
"Catalina Cristea"	0.101365
"Gary Hall Jr."	0.101045
"Merlene Ottey"	0.100882
"Thomas Johansson"	0.100276
"Linford Christie"	0.100046
"Dennis van Scheppingen"	0.0999938
"Pernilla Wiberg"	0.0998939
"Irina Privalova"	0.0998839
"Velez Sarsfield"	0.0998833
"Jason Stoltenberg"	0.0997463
"Stefan Edberg"	0.0997437
"Marcos Ondruska"	0.0995816
))
("Chen Lu" (desc 1547.8) (sims
"Wang Yifu"	0.336151
"Li Jiajun"	0.282066
"Dong Jiong"	0.269644
"Elena Berezhnaya"	0.268926
"Maria Butyrskaya"	0.257539
"Fu Mingxia"	0.257368
"Oksana Baiul"	0.253228
"Fatuma Roba"	0.250215
"Todd Eldredge"	0.243294
"Irina Slutskaya"	0.236269
"Svetlana Masterkova"	0.235889
"Michelle Kwan"	0.22898
"Alexei Urmanov"	0.228017
"Liu Limin"	0.221617
"Elvis Stojko"	0.220757
"Liu Guoliang"	0.216741
"Le Jingyi"	0.214428
"Svetlana Khorkina"	0.210859
"Sandra Voelker"	0.210271
"Oksana Kazakova"	0.20933
"Derrick Adkins"	0.208652
"Alexei Yagudin"	0.208308
"Deon Hemmings"	0.207873
"Yang Yang"	0.207192
"Charles Austin"	0.206232
"Allen Johnson"	0.205615
"Katarina Witt"	0.204391
"Claudia Poll"	0.204293
"Yu Zhuocheng"	0.204142
"Tara Lipinski"	0.203042
"Alexei Nemov"	0.202053
"Ye Zhaoying"	0.200767
"Fiona May"	0.200474
"Daniel Kowalski"	0.199794
"Brooke Bennett"	0.198478
"Nancy Kerrigan"	0.1958
"John Godina"	0.194454
"Johan Museeuw"	0.194414
"Deng Yaping"	0.194282
"Marie-Jose Perec"	0.191877
"Kong Linghui"	0.19111
"Xiong Ni"	0.190699
"Michael Von Gruenigen"	0.190262
"Paul Tergat"	0.188749
"Jean-Philippe Gatien"	0.186508
"Wang Nan"	0.184024
"Penny Heyns"	0.183494
"Ge Fei"	0.178594
"Maria Mutola"	0.178218
"Wang Junxia"	0.17799
"Gary Hall"	0.177754
"Deborah Compagnoni"	0.177432
"Felix Savon"	0.176547
"Chen Hua"	0.176448
"Linford Christie"	0.175271
"Guo Jingjing"	0.173269
"Tom Dolan"	0.171204
"Picabo Street"	0.171151
Shuwei	0.17113
"Amy van Dyken"	0.169618
"Susie O'Neill"	0.168149
"Irina Privalova"	0.167914
"Marina Anissina"	0.166363
"Simona Amanar"	0.166278
"Anjelika Krylova"	0.166087
"Susi Susanti"	0.166039
"Noureddine Morceli"	0.165292
"Gail Devers"	0.164328
"Ivan Pedroso"	0.164203
"Denis Pankratov"	0.163736
"Rodney Eyles"	0.163037
"Dan O'Brien"	0.161773
"Katja Seizinger"	0.161061
"Cathy Freeman"	0.160975
"Jansher Khan"	0.160767
"Jearl Miles-Clark"	0.160752
"Lin Li"	0.1595
"Hiroyasu Shimizu"	0.158963
"Ji Xinpeng"	0.158155
"Al Joyner"	0.156857
"Kieren Perkins"	0.156222
"Shannon Miller"	0.156051
"Gong Zhichao"	0.153861
"Samantha Riley"	0.15365
"Hilde Gerg"	0.152337
"Moses Tanui"	0.152046
"Thomas Stangassinger"	0.151741
"Alexander Popov"	0.151395
"Ato Boldon"	0.150749
"Heike Drechsler"	0.150009
"Li Xuemei"	0.148887
"Frankie Fredericks"	0.148514
"David Reid"	0.148343
"Donovan Bailey"	0.147154
"Inger Miller"	0.146357
"Chen Jing"	0.14592
"Ricky Subagja"	0.145903
"Max Biaggi"	0.145046
"Gunda Niemann-Stirnemann"	0.144898
"Tian Liang"	0.143976
"Buster Douglas"	0.143743
"Damon Hill"	0.143348
"Ivan Ivankov"	0.142839
"Mia Audina"	0.142277
"Blaine Wilson"	0.142084
"Susanthika Jayasinghe"	0.141928
"Merlene Ottey"	0.140842
"Michelle Smith"	0.139387
"Jackie Joyner-Kersee"	0.139379
"Michael Klim"	0.138809
"Rexy Mainaky"	0.138444
"Michael Doohan"	0.138251
"Peter Rasmussen"	0.137957
"Colin McRae"	0.137376
"Gong Ruina"	0.136411
"Bruny Surin"	0.136062
Devers	0.135885
"Jacques Villeneuve"	0.134477
kayaker	0.134013
"Rashid Sidek"	0.134007
"Gianni Romme"	0.132854
"Dai Yun"	0.132704
"Heryanto Arbi"	0.132128
"Liu Xuan"	0.132042
"Tommi Makinen"	0.131983
"Wu Yanyan"	0.13125
"Jan-Ove Waldner"	0.131128
"Abraham Olano"	0.130926
"Gabriela Szabo"	0.130841
"Hermann Maier"	0.12989
"Chen Yan"	0.128822
"Bjarte Engen Vik"	0.128734
"Frank Bruno"	0.128138
"Pernilla Wiberg"	0.127733
"Gary Hall Jr."	0.127002
"Lasse Kjus"	0.125958
"American Pete Sampras"	0.1253
"Dennis Mitchell"	0.124939
"Stacy Dragila"	0.123471
"Li Ju"	0.12335
"Martin Schmitt"	0.123148
"Sarah Hughes"	0.123054
"Vanessa Atler"	0.122569
"Wang Chunlu"	0.122466
Sautin	0.122196
"Jorgen Persson"	0.121794
Ottey	0.120529
"Camilla Martin"	0.119964
"Laurent Brochard"	0.119705
"Wang Tao"	0.119629
"Chris Boardman"	0.119283
"Michael Johnson"	0.118889
Khorkina	0.117552
"C.J Hunter"	0.117154
"Renate Goetschl"	0.117109
"Wilson Kipketer"	0.116969
"Alberto Tomba"	0.116947
"Anatoly Karpov"	0.116828
"Khalid Khannouchi"	0.116185
"Jenny Thompson"	0.115828
"Tonya Harding"	0.1156
"Jeff King"	0.115538
"Isolde Kostner"	0.114899
"Regina Jacobs"	0.114057
"Chen Gang"	0.11392
"Joko Suprianto"	0.113792
"Mark Crear"	0.113762
"Michael Weiss"	0.113601
"Carl Lewis"	0.110968
"Dalian Wanda"	0.110806
"Garry Kasparov"	0.110385
Yagudin	0.110099
"Jimmy Vasser"	0.11008
Godina	0.109932
"Marion Jones"	0.10971
"Leander Paes"	0.109509
"Sonia O'Sullivan"	0.109394
"Randy Barnes"	0.10933
"MIka Hakkinen"	0.109213
"Dominique Moceanu"	0.109044
"Pavel Tonkov"	0.108697
"Fung Permadi"	0.108468
"Maurice Greene"	0.107968
"over @@@ meters"	0.10733
"Eddie Cheever"	0.107114
"Marc Rosset"	0.106844
"Zoran Primorac"	0.106334
"Ong Ewe Hock"	0.106232
"Li Na"	0.10527
"Roy Jones Jr."	0.105237
Boldon	0.105199
"Tegla Loroupe"	0.104869
"Sergei Bubka"	0.104142
Zelezny	0.103773
"Claudia Pechstein"	0.103409
Susanti	0.102113
"Steve Backley"	0.102015
"Peter Gade Christensen"	0.102004
"Daniel Komen"	0.101818
"Xia Xuanze"	0.100364
"Olin Browne"	0.100354
Maier	0.1003
))
("Chen Muhua" (desc 2603.57) (sims
Luli	0.497385
"Lei Jieqiong"	0.448524
"Peng Peiyun"	0.428172
"Qian Zhengying"	0.426394
"Wang Hanbin"	0.397578
"Jiang Chunyun"	0.32792
"Zou Jiahua"	0.278161
"Chi Haotian"	0.272437
"Wang Zhaoguo"	0.270626
"Wang Guangying"	0.267494
"Tian Jiyun"	0.266316
"Song Jian"	0.25202
Buhe	0.244596
"Wan Guoquan"	0.244189
"Zhou Guangzhao"	0.238807
"Zhang Wannian"	0.234041
"Wu Jieping"	0.230114
"Cheng Siwei"	0.209581
"Qian Weichang"	0.199456
"Liu Huaqing"	0.189017
"Cao Zhi"	0.187203
Fuling	0.18507
"Li Tieying"	0.178876
"Lu Ping"	0.178124
"Zeng Qinghong"	0.163562
Councillor	0.152498
Vice-Premier	0.149917
"Li Lanqing"	0.147802
"Huang Ju"	0.140956
"Wei Jianxing"	0.138965
"Dai Bingguo"	0.134953
"Xiong Guangkai"	0.134479
"Wen Jiabao"	0.130656
"Maung Aye"	0.130491
"Wu Yi"	0.123237
"Jia Qinglin"	0.122614
"Ding Guangen"	0.121707
"Wlodzimierz Cimoszewicz"	0.121243
"Cheng Kejie"	0.121199
"Luo Gan"	0.119957
"Kim Yong Nam"	0.11869
"Hu Jintao"	0.117087
"Martti Ahtisaari"	0.116783
"Secretary General Esmat Abdul-Meguid"	0.116296
"Wu Bangguo"	0.112116
"Khaleda Zia"	0.111855
"Megawati Soekarnoputri"	0.108536
Komura	0.107381
Peng	0.107183
"Qiao Shi"	0.105936
"Qian Qichen"	0.105467
Garang	0.10527
el-Ganzouri	0.104691
Stoyanov	0.104197
"Li Ruihuan"	0.0998234
"Jacques Santer"	0.0994893
Chissano	0.0992413
"Prime Minister Banharn Silpa-Archa"	0.0973686
"Chief Executive Tung Chee-hwa"	0.0970255
Guterres	0.0961479
Mkapa	0.0955812
Rifkind	0.095525
vice-president	0.0950356
Diouf	0.092697
"Norodom Ranariddh"	0.0923628
Meguid	0.0922118
Chi	0.0917695
"Sheikh Hasina"	0.0914891
"Meles Zenawi"	0.0913644
Velayati	0.0912836
"Secretary General Esmat Abdel-Meguid"	0.0912604
"Li Peng"	0.0909412
"Ricardo Alarcon"	0.0909216
"Girija Prasad Koirala"	0.0902156
Broek	0.0902121
Abdel-Meguid	0.0901488
Granic	0.0897478
Luong	0.0897024
"Shi Guangsheng"	0.0892929
Iliescu	0.0891462
"H.D Deve Gowda"	0.0891351
Tian	0.0889223
"Chea Sim"	0.0881185
Jayakumar	0.0877453
"Tung Chee Hwa"	0.0875979
"Kim Jong-pil"	0.0871585
"Wang Daohan"	0.0871258
Khaddam	0.0870195
"Begum Khaleda Zia"	0.0864207
"Joseph Ralston"	0.08627
"Antonio Guterres"	0.0860146
Fino	0.0859121
Meles	0.0858651
"Ismail Amat"	0.0855094
Juncker	0.0854766
Ganzouri	0.0853048
"Paavo Lipponen"	0.0852324
"de Charette"	0.0850745
Ikeda	0.0850257
Kok	0.0846318
Ahtisaari	0.0842166
"Pandeli Majko"	0.0838449
Camdessus	0.0837434
Moratinos	0.0836788
"Abidine Ben Ali"	0.0834837
"Minister Shlomo Ben-Ami"	0.083481
Azad	0.0833962
"NPC Standing Committee"	0.0828403
"Helen Clark"	0.0826548
Rong	0.0825383
Shareh	0.0824874
Siazon	0.0824063
Niyazov	0.0817782
"Ibrahim Rugova"	0.081684
"Goran Persson"	0.0807798
Shevardnadze	0.0807155
Santer	0.0805501
al-Sahaf	0.0803872
Klima	0.0803025
Hu	0.0802078
"Chuan Leekpai"	0.0801877
Karimov	0.0801392
al-Sahhaf	0.07987
Lipponen	0.0798561
Sahnoun	0.0797881
vice-chairman	0.0797262
"Romano Prodi"	0.079594
"Esther Dyson"	0.0795603
"Mikulas Dzurinda"	0.0793499
Akayev	0.0791114
Cem	0.0790037
Wolfensohn	0.0789694
"Vo Van Kiet"	0.0789547
"Fu Quanyou"	0.0789239
Muoi	0.0785607
"Zhu Lin"	0.0785573
"Chen Ziying"	0.0783582
Deuba	0.0783022
"Tansu Ciller"	0.0774292
"Inder Kumar Gujral"	0.0773642
Dae-jung	0.0773581
Ruehe	0.0773523
"Prime Minister Kamal El-Ganzouri"	0.0772446
Scalfaro	0.0772125
"Cambodian King Norodom Sihanouk"	0.0771537
Pustovoitenko	0.0770147
"Secretary General Boutros Boutros-Ghali"	0.0767543
"Koo Chen-fu"	0.0767404
"Atef Obeid"	0.076449
Rodionov	0.0763401
"De Soto"	0.0763391
"Chavalit Yongchaiyudh"	0.0761371
"Than Shwe"	0.0759941
Sumaye	0.0758827
"Political Consultative Conference"	0.0756342
"Mahmoud Zouebi"	0.0754907
"President Kim Young-sam"	0.0752818
"Khin Nyunt"	0.0751031
"President Hafez Al-Assad"	0.0748231
"Tomiichi Murayama"	0.0745007
"Jiang Zemin"	0.0744323
Qiao	0.0741426
vice-chairmen	0.0741324
Dehaene	0.0741265
Khai	0.074
Constantinescu	0.0738814
vice-mayor	0.0738708
"Chinese People's Political Consultative Conference"	0.0732673
Zou	0.0732234
Chavalit	0.0731018
"Gerry Adams"	0.0727383
Ikimi	0.0725721
Vollebaek	0.0722293
"Frederick Sumaye"	0.0720588
Klestil	0.0720568
"Lamberto Dini"	0.0720472
Talbott	0.0719011
Phieu	0.07176
Nzo	0.0717271
Pangalos	0.0714933
"Congress Standing Committee"	0.071351
al-Bashir	0.0711491
"Saeb Erekat"	0.0710277
al-Khatib	0.0708712
"Christopher Hill"	0.0706898
Alatas	0.0702808
Kavan	0.0702681
"Dos Santos"	0.0702318
"Wim Kok"	0.0702101
"Salim Ahmed Salim"	0.0696821
"Tung Chee-Hwa"	0.0693949
Kwasniewski	0.0691742
Vasile	0.069133
"Jenny Shipley"	0.0688962
"Victor Chernomyrdin"	0.068877
"Zhu Rongji"	0.0688168
"Yoshiro Mori"	0.068685
Nujoma	0.0685703
"Phan Van Khai"	0.0685001
"Drought Relief Headquarters"	0.0684728
))
("Chen Yan" (desc 4645.13) (sims
"Le Jingyi"	0.349099
"Liu Limin"	0.267922
"Samantha Riley"	0.252697
"Wu Yanyan"	0.251003
"Lenny Krayzelburg"	0.236127
"Lin Li"	0.234032
"Tom Dolan"	0.229059
"Penny Heyns"	0.22242
"Kieren Perkins"	0.209321
"Denis Pankratov"	0.203279
"Michael Klim"	0.202977
"Colin Jackson"	0.195266
"Kim Batten"	0.190819
"Claudia Poll"	0.190229
"Brooke Bennett"	0.187018
"Wang Junxia"	0.186695
"Ian Thorpe"	0.183804
"Li Xuemei"	0.18166
"Sandra Voelker"	0.178925
"Chen Hua"	0.175822
Zelezny	0.173438
"Jonathan Edwards"	0.171231
Kipketer	0.170197
"Noureddine Morceli"	0.169312
Klim	0.167427
"Donovan Bailey"	0.162741
"Bernard Barmasai"	0.160477
"Khalid Khannouchi"	0.158648
"Javier Sotomayor"	0.15329
"Sergei Bubka"	0.153215
"Wilson Kipketer"	0.152507
"Yang Yang"	0.152165
"Tegla Loroupe"	0.150412
"Alexander Popov"	0.149531
"Susie O'Neill"	0.147482
"Jeremy Wotherspoon"	0.147099
Hoogenband	0.145747
"Daniel Komen"	0.143063
"Hiroyasu Shimizu"	0.139916
"Hicham El Guerrouj"	0.1396
"Grant Hackett"	0.139391
"Jenny Thompson"	0.139226
"Irina Privalova"	0.137194
"Gary Hall"	0.136298
"Fu Mingxia"	0.13626
"Dan O'Brien"	0.134895
"Guo Jingjing"	0.134592
"Michelle Smith"	0.133955
"Inge de Bruijn"	0.133043
Krayzelburg	0.132576
"Maria Mutola"	0.132341
"Wang Yifu"	0.131826
Heyns	0.131134
"Liu Guoliang"	0.130252
"Chen Lu"	0.128822
"Kong Linghui"	0.128416
"Maurice Greene"	0.127503
"Michael Johnson"	0.125755
"Allen Johnson"	0.124573
"Stacy Dragila"	0.122239
"Emma George"	0.121414
"Ye Zhaoying"	0.121292
"Randy Barnes"	0.121053
"Wang Nan"	0.120693
"Jackie Joyner-Kersee"	0.119638
"Li Jiajun"	0.119117
"Wang Yan"	0.117233
"Koji Ito"	0.116254
"Heike Drechsler"	0.116138
"Yu Zhuocheng"	0.115555
"Dong Jiong"	0.113903
"John Godina"	0.11163
"Deng Yaping"	0.110787
"Wang Wei"	0.110153
"Ge Fei"	0.108866
"Amy van Dyken"	0.108367
Longo	0.107419
"Liu Xuan"	0.106504
Sotomayor	0.105871
"Daniel Kowalski"	0.103691
"Wang Chunlu"	0.103565
"Mia Audina"	0.103545
"Chris Boardman"	0.103531
"Li Fang"	0.101958
Morceli	0.101287
"Florence Griffith Joyner"	0.100831
"Moses Tanui"	0.100663
"Haile Gebrselassie"	0.0999335
"Anjelika Krylova"	0.0990941
Thorpe	0.0985438
"Russian Yevgeny Kafelnikov"	0.098409
"Steve Backley"	0.0977851
"Marie-Jose Perec"	0.0963784
"Dara Torres"	0.0963616
"Li Na"	0.0958914
"Heryanto Arbi"	0.0941435
"Gary Hall Jr."	0.0937578
"Jansher Khan"	0.0933925
Devers	0.0932403
Batten	0.0931926
"Merlene Ottey"	0.0930846
"Gong Zhichao"	0.0930571
Ottey	0.0930531
"Katja Seizinger"	0.0920079
"Wang Liqin"	0.0919756
"Derrick Adkins"	0.089312
"Gianni Romme"	0.0892602
Popov	0.0889765
"Regina Jacobs"	0.088586
"Maria Butyrskaya"	0.08792
"Michael Doohan"	0.0873384
"Li Ju"	0.0869564
"Blaine Wilson"	0.0869211
"Hao Haidong"	0.0869204
"Renate Goetschl"	0.0865316
"Alexei Yagudin"	0.0864031
Fredericks	0.0860702
"Gail Devers"	0.0859846
"Tommi Makinen"	0.0858067
"Paul Tergat"	0.085654
"Oksana Kazakova"	0.0847147
"Svetlana Masterkova"	0.0842612
"Lasse Kjus"	0.0842154
"Pernilla Wiberg"	0.0840524
"Gong Ruina"	0.0840141
"Fiona May"	0.084014
"Xiong Ni"	0.0834079
"Alexei Urmanov"	0.0832909
"Jorgen Persson"	0.0829937
"Rodney Eyles"	0.0827883
Khorkina	0.0827378
"Deon Hemmings"	0.0821722
Goetschl	0.0819847
"Joko Suprianto"	0.0818411
"American Pete Sampras"	0.0816853
"Hermann Maier"	0.0812594
"Jeff Hartwig"	0.0810385
"Fatuma Roba"	0.0805582
"Inger Miller"	0.0800637
"Elena Berezhnaya"	0.0796342
"Marion Jones"	0.0791865
"Mark Crear"	0.0787936
"Thomas Muster"	0.0785026
"Susi Susanti"	0.0784894
"Elvis Stojko"	0.0780484
swimmer	0.0780023
"Juha Kankkunen"	0.0774553
shuttlers	0.0771465
"Chen Jing"	0.0771358
"Simona Amanar"	0.076877
"Chen Gang"	0.0767763
"Jean-Philippe Gatien"	0.0764784
Aamodt	0.0763125
"Todd Eldredge"	0.0762435
"Martina Hingis"	0.0761801
"Colin McRae"	0.0760289
Maier	0.0759787
"Zoran Primorac"	0.0756086
"Vladimir Samsonov"	0.0754569
"Taufik Hidayat"	0.0753745
"Dai Yun"	0.0751812
"Alexandra Meissnitzer"	0.0751377
rower	0.0750832
"Vanessa Atler"	0.0750609
Taufik	0.0748098
"Peter Nicol"	0.0742644
medallist	0.0741354
Meissnitzer	0.0740685
"American Lindsay Davenport"	0.0739072
"Claudia Pechstein"	0.0738526
Yagudin	0.0737567
"Alexei Nemov"	0.0733685
"Jan-Ove Waldner"	0.0732466
Le	0.0729902
"Wang Tao"	0.0722273
Kong	0.0720959
"Monica Seles"	0.0720502
"Patrick Rafter"	0.0718378
"Tian Liang"	0.0718233
"Peter Gade Christensen"	0.071752
"Ma Lin"	0.0712641
Shuwei	0.0711757
Sainz	0.0710368
"Michelle Kwan"	0.0709465
"Pat Rafter"	0.0709019
"Ato Boldon"	0.0706694
"Cathy Freeman"	0.0706278
"Max Biaggi"	0.0701404
Perkins	0.0701264
"Lu Yufu"	0.0697707
"Peter Rasmussen"	0.0697373
"Charles Austin"	0.0695845
"El Guerrouj"	0.0694674
"Isolde Kostner"	0.0693706
"Michael Chang"	0.0692098
"Sonia O'Sullivan"	0.0691546
"Garry Kasparov"	0.0690098
"Serena Williams"	0.0687941
"Kjetil Andre Aamodt"	0.0687023
"Laurent Brochard"	0.0678918
))
("Chen Ziying" (desc 1323.77) (sims
"Lu Ping"	0.310993
"Cao Zhi"	0.225484
"Macao Affairs Office"	0.196555
"Luo Gan"	0.16854
"Development Research Center"	0.150148
"Wang Zhongyu"	0.14987
"Wang Hanbin"	0.130616
"Koichi Kato"	0.124422
"Wan Guoquan"	0.122712
"Wang Guangying"	0.121551
"Information Office"	0.118238
"Foreign Affairs Office"	0.115578
"Wang Zhaoguo"	0.115217
"Wang Hui"	0.107373
"Cesar Gaviria"	0.102659
Vice-Premier	0.0988422
"Wu Jieping"	0.0954415
"Tian Jiyun"	0.09119
"Edmund Ho Hau Wah"	0.089344
"Yukio Hatoyama"	0.0891305
Buhe	0.0881867
Councillor	0.0881554
"State Administration of Foreign Exchange"	0.0860395
"Zou Jiahua"	0.0840224
"Jiang Chunyun"	0.0829754
"Wen Jiabao"	0.0815107
"Salim Ahmed Salim"	0.0793991
"State Councilor"	0.0792055
"Taiwan Affairs Office"	0.0784427
"Chen Muhua"	0.0783582
"China Securities Regulatory Commission"	0.0778489
"Cheng Siwei"	0.077259
"Chi Haotian"	0.0762624
"Anson Chan"	0.0745718
"Boutros Boutros-Ghali"	0.0741112
"Zhou Guangzhao"	0.0737705
"Yoshiro Mori"	0.0737409
vice-chairmen	0.0735435
"Wang Yan"	0.0731328
"Zeng Qinghong"	0.072657
"Song Jian"	0.0725575
"Jia Qinglin"	0.0716625
"Shi Guangsheng"	0.0713124
"Construction Bank of China"	0.0705593
"Plenary Session"	0.070349
"Lei Jieqiong"	0.0691274
"Agricultural Bank of China"	0.0681243
"Qian Qichen"	0.0677623
"Peng Peiyun"	0.067732
Muoi	0.0676689
"Yu Yongbo"	0.0671823
SDPC	0.0662005
"China Construction Bank"	0.0659757
Zhenyu	0.0654393
"Industrial and Commercial Bank of China"	0.0650949
"Li Tieying"	0.0650861
"Public Security Ministry"	0.0646788
"Zhou Nan"	0.0646379
"Le Kha Phieu"	0.063743
"work group"	0.0634144
"George Robertson"	0.0633762
"Qian Zhengying"	0.063108
"Zhu Rongji"	0.0630682
"Wu Bangguo"	0.0630096
biophysics	0.0611005
"Li Ruihuan"	0.0606858
Vice-Minister	0.0596836
"Ding Guangen"	0.0595503
Presidium	0.0594687
"Tang Jiaxuan"	0.0593811
"State Planning Commission"	0.0592955
"Zhang Wannian"	0.0591122
"Chinese Communist Party (CPC) Central Committee"	0.0585403
"State Economic and Trade Commission"	0.0584599
Boutros-Ghali	0.0584392
"Political Consultative Conference"	0.0581469
"Hong Kong Monetary Authority"	0.0579962
"Dai Bingguo"	0.0578112
"Wu Yi"	0.0576528
"Chinese People's Political Consultative Conference"	0.0575382
"Ministry of Public Security"	0.0571441
"Stanley Fischer"	0.0571089
"Secretary- General"	0.0570104
"Civil Aviation Administration of China"	0.0564293
"National People's Congress"	0.05629
"Hu Jintao"	0.0557341
"Liu Huaqing"	0.0556858
"Qiao Shi"	0.05517
"Qian Weichang"	0.0551443
"Bill Lann Lee"	0.0543538
Ikimi	0.0529481
Fuling	0.0528839
"State Administration of Cultural Heritage"	0.0521878
"Tung Chee Hwa"	0.052061
"Abu Mazen"	0.0519455
"Mahmoud Abbas"	0.0518587
"Sepp Blatter"	0.0514105
"Li Lanqing"	0.051206
"Shanghai Composite Index"	0.0510158
"Central Military Commission"	0.0504388
SSE	0.0498932
"CPPCC National Committee"	0.0488965
Zeroual	0.0487762
"State Development Bank"	0.0480363
"Xiong Guangkai"	0.0477543
vice-mayor	0.0473133
Councilor	0.0471666
"Wei Jianxing"	0.0470643
"United Front Work Department"	0.046438
"Executive Committee"	0.045899
auditor-general	0.0458926
"Richard Blumenthal"	0.0457386
"Dai Xianglong"	0.0453185
"Mike Huckabee"	0.0446748
"Bill Owens"	0.0443566
"Fu Quanyou"	0.0441432
CMC	0.0439477
"State Administration of Taxation"	0.0434828
"National Committee"	0.0433845
"Cambodian King Norodom Sihanouk"	0.0433839
Sithole	0.0433257
"Chea Sim"	0.0432479
Bruton	0.0432051
Shi	0.0430273
"Paavo Lipponen"	0.0429705
"Huang Ju"	0.0429161
"World Petroleum Congress"	0.0425128
Rong	0.0421836
"National Bureau of Statistics"	0.0419135
Luli	0.0416421
"Air China"	0.0415336
Ghalib	0.0415018
"People's Bank of China"	0.0411923
"Gary Locke"	0.0411525
"Taiwan Province"	0.0408841
"State Development Planning Commission"	0.0408499
"Cheng Kejie"	0.040849
"All-China Federation"	0.0406888
"Xie Zhenhua"	0.0406046
Borodin	0.0403938
urologist	0.0403177
swearing-in	0.0402069
"Census and Statistics Department"	0.0400687
))
(Cheney (desc 24613.3) (sims
"Dick Cheney"	0.236043
Lieberman	0.19741
gore	0.137407
DOLE	0.133186
Quayle	0.129824
Bradley	0.127706
McCain	0.126151
Bush	0.126034
"Joseph Lieberman"	0.117138
Giuliani	0.112807
"Joe Lieberman"	0.111934
Gephardt	0.111442
Tung	0.105714
Pataki	0.105663
Buchanan	0.105275
Forbes	0.104848
Lott	0.104337
"George W. Bush"	0.104141
Schumer	0.103583
Coelho	0.102636
Rubin	0.102321
Danforth	0.100744
Greenspan	0.100608
Daley	0.100365
"Richard Cheney"	0.0994535
Livingston	0.0990907
Primakov	0.0983875
Yeltsin	0.0979225
Richardson	0.0976156
Lazio	0.0975748
Blair	0.0973381
Kasich	0.0970394
Hastert	0.0970284
Lungren	0.0966439
Egan	0.0964309
Putin	0.0964091
Coverdell	0.096383
"Al Gore"	0.0959316
Samaranch	0.0959073
Gingrich	0.095098
"Elizabeth Dole"	0.0948492
Cohen	0.0943636
Clinton	0.0942959
Ashcroft	0.0935899
Kerry	0.0932289
Nader	0.0932197
Mandela	0.0931878
Robertson	0.0928924
Holbrooke	0.0922241
Corzine	0.091878
Wilson	0.0907808
senator	0.0904481
Cellucci	0.0904431
Mori	0.0900858
Barr	0.0895842
"John McCain"	0.0895736
Engler	0.0887475
Stepashin	0.0887464
Powell	0.0883409
Gorton	0.0883222
"Dan Quayle"	0.0877149
D'Amato	0.0873703
Mbeki	0.0870004
Reagan	0.0868927
Zedillo	0.0866707
Bauer	0.0861412
Keating	0.0857893
"running mate"	0.0857807
Whitman	0.0853307
Chernomyrdin	0.0850602
MacKay	0.0848442
Schroeder	0.0847403
Obuchi	0.0842784
"vice president"	0.0842001
Helms	0.0840013
Taft	0.0839315
Babbitt	0.0834144
Barak	0.0833639
ROMNEY	0.0830334
Wahid	0.0825836
Keyes	0.0824383
Feinstein	0.0820292
Gramm	0.0818137
perry	0.0814527
pope	0.0811264
Kennedy	0.0810022
Berger	0.0805638
Vallone	0.080548
Arafat	0.0804571
"Jack Kemp"	0.0802865
Governor	0.0802827
Edwards	0.0800911
Davis	0.0797463
smith	0.0796316
"Hillary Rodham Clinton"	0.0784125
Fiorina	0.0783531
Welch	0.0782874
Ferraro	0.077998
Bennett	0.0778835
McCaffrey	0.0775509
McCurry	0.0774338
Lockhart	0.0773127
Cuomo	0.0773072
Gorbachev	0.0768571
"Bob Dole"	0.0768335
Rowland	0.076762
Eisner	0.0767217
Eizenstat	0.0766314
Albright	0.0765514
"first lady"	0.0764561
Ventura	0.0763411
Chretien	0.0758287
McCall	0.0757491
Carter	0.0757158
Jackson	0.0755441
Foley	0.0753508
Labastida	0.0751672
"Hillary Clinton"	0.0751554
Draskovic	0.0751537
Mitchell	0.07506
Luzhkov	0.0749383
Alexander	0.0748598
Chirac	0.0747835
Perot	0.0746187
Levin	0.0743761
Rogan	0.0742425
Florio	0.0742156
Barnes	0.0741758
Hormel	0.0741438
Kohl	0.0736299
Spitzer	0.0735893
Weizman	0.0735869
bullock	0.0734719
Mauro	0.0734008
Cornyn	0.073388
"George Bush"	0.0733477
"Bill Bradley"	0.0732952
Daschle	0.0732137
Jeb	0.0731323
D'Alema	0.0728214
Craig	0.072747
Duquette	0.0727403
Vacco	0.0724183
Netanyahu	0.0723776
Ross	0.0723102
Kemp	0.0723045
Hyde	0.0721552
Gates	0.0721262
Kolbe	0.0719223
nominee	0.0717075
Ganga	0.0711235
Adams	0.0708781
Castro	0.0706795
Johnson	0.0705951
candidate	0.0705562
Starr	0.0705295
Chen	0.0704934
Megawati	0.0704011
Kennelly	0.0703946
Ekeus	0.070392
Chafee	0.0703667
Wolfson	0.0703369
Nixon	0.0702904
Moynihan	0.0702801
Blumenthal	0.0702383
Hagelin	0.0702219
Flores	0.0701222
"George W."	0.0701191
Kaplan	0.07005
Parcells	0.0699779
Reno	0.0699741
Goldin	0.069917
Campbell	0.0698145
Robinson	0.0696726
"Bill Richardson"	0.0692528
Sharon	0.069205
Carnahan	0.0692014
Howard	0.0690949
Beazley	0.0690865
"Robert Rubin"	0.0690736
Armey	0.0689615
Podesta	0.0688493
Shahak	0.068843
Haider	0.0687927
MIYAZAWA	0.0687536
Trudeau	0.0687045
Sharpton	0.0686463
Coulter	0.0686106
Thompson	0.0684716
Torre	0.0684227
Hess	0.0684031
Isakson	0.0683274
Tsang	0.0682979
Ramos	0.0682696
Evans	0.0681288
Taylor	0.0681237
Mineta	0.0681192
Daft	0.0681069
Greenberg	0.0681026
Cisneros	0.0680795
))
(Cheng (desc 5263.39) (sims
xu	0.182772
Hu	0.162548
Zhang	0.160532
Meng	0.155596
Leung	0.154117
Cao	0.152404
Xiao	0.152299
Yu	0.15046
Huang	0.149091
Wan	0.148397
"Cheng Kejie"	0.145418
LU	0.143705
Liu	0.139687
Luo	0.138699
guo	0.136506
Li	0.134632
Tian	0.133772
Wang	0.131028
Zou	0.130536
Wei	0.130097
Lim	0.130066
Wu	0.130047
Chen	0.128788
Xie	0.128397
Qu	0.128393
Ng	0.125855
Rong	0.125789
Shi	0.124295
Cheung	0.124106
Zhou	0.123798
Jia	0.122515
Tsang	0.120247
Zeng	0.116343
Hofer	0.116158
Manbar	0.11519
Chu	0.114759
Qiao	0.113424
Berenson	0.112288
Lin	0.111776
Buhe	0.110151
Ruehe	0.108535
Zhao	0.108385
Kasoulides	0.10817
Yang	0.106608
Zhu	0.106305
Zheng	0.105225
Feng	0.105158
Ikimi	0.105125
Lazarenko	0.104994
Dai	0.104709
Zuma	0.103711
Wong	0.103656
Mukora	0.103504
Mikhailov	0.102995
Kiareldeen	0.102733
Velayati	0.101504
Priebke	0.101264
Qin	0.100913
Xue	0.100875
Peng	0.100657
Papon	0.098378
Qian	0.0983113
Ma	0.0981654
Lau	0.0977547
Bao	0.0968406
Akayesu	0.0967901
Jin	0.0955689
Jovanovic	0.0950313
Robison	0.0949802
Chung	0.0948789
Tung	0.0937756
Raduyev	0.0934649
Sebaggala	0.0925453
wen	0.0924561
Fu	0.0913873
Rashid	0.0913796
Jiang	0.0913689
Fleischer	0.0913522
Deri	0.0909972
Chan	0.0903052
Gao	0.0902477
Cai	0.0899813
Shamshad	0.0896205
Salim	0.0892266
Leghari	0.0889951
Alves	0.0885892
Ye	0.0883329
Azad	0.0882387
Tam	0.0881628
Xiang	0.0878554
Bai	0.0878177
Fagan	0.0877143
Gotti	0.0875598
tang	0.0872561
Nkabinde	0.0872362
Agca	0.0871476
Guan	0.0870513
Ding	0.0870184
Liang	0.0867881
Nikitin	0.0863964
Yoo	0.0861927
Rodionov	0.0860705
Karbaschi	0.0860493
Fung	0.0854717
Tsai	0.0853902
Jayakumar	0.0853244
Mkapa	0.0852253
Patten	0.0850739
Hua	0.0850385
Bartlett	0.0850107
Meguid	0.084788
Malu	0.0847463
Duran	0.0847017
Locke	0.0846279
"Tian Jiyun"	0.0845096
Tanaka	0.0841086
Pollard	0.0839142
Yan	0.083903
Goh	0.083818
Stoyanov	0.0837927
Ganga	0.0837778
Swango	0.0836921
Blatter	0.0836421
Echegaray	0.08364
Deng	0.0836019
McGinn	0.083347
Ghani	0.083226
Tong	0.0828519
Dodik	0.0828437
Ren	0.0825605
Tarawneh	0.0824797
Tarver	0.0823695
Flaherty	0.0822765
Ahmed	0.0820799
Shen	0.0819892
Lo	0.0813359
Rao	0.0812942
Maslyukov	0.081284
"Russell Peeler"	0.0809991
Nazarbayev	0.0809893
Alatas	0.080912
Boueiz	0.0807171
Ibrahim	0.0806989
Hong	0.0806286
Hodler	0.0805904
Cui	0.0803253
Petersen	0.0801968
Kinkel	0.0799577
Faget	0.0799472
Mcbride	0.0799383
Gauthe	0.079847
Mohajerani	0.0796922
Strauss-Kahn	0.0796457
Romer	0.0795905
Chissano	0.0794511
Mease	0.0792585
Musa	0.0791724
Khalil	0.078747
Singson	0.0785995
Tudjman	0.0783826
Garza	0.0783413
Faulder	0.0783256
Capano	0.0782738
Chi	0.0781624
Brittan	0.078082
LeBlanc	0.0779875
"de Charette"	0.0775251
nance	0.0774547
khan	0.077373
chun	0.0773729
McVeigh	0.0773627
Yi	0.0772792
Yazdi	0.0772779
Hamid	0.0769755
Kim	0.076769
Nichols	0.0763264
Tao	0.0761293
Nasrin	0.0760452
Modise	0.0759787
Kimes	0.0756987
Hersh	0.075691
Nzo	0.0755758
Shao	0.0755407
Blackman	0.0754842
Whitacre	0.0753698
Aoki	0.0752959
"Jiang Chunyun"	0.0752842
Prewitt	0.0752726
Livoti	0.0752644
Kerik	0.0752533
Bhutto	0.0750215
Goldstein	0.0748322
Seleznyov	0.0748264
Arroyo	0.0747189
Aliyev	0.074584
Stayner	0.0745605
Orban	0.0745342
Neulander	0.0744197
Ling	0.0744054
Yastrzhembsky	0.0742834
))
("Cheng Kejie" (desc 1304.58) (sims
"Cheng Siwei"	0.22958
"Cao Zhi"	0.220483
"Wan Guoquan"	0.208576
"Wu Jieping"	0.207248
Buhe	0.199943
"Tian Jiyun"	0.195676
"Qian Weichang"	0.186314
"Wang Guangying"	0.183494
"Wang Hanbin"	0.181238
"Zhou Guangzhao"	0.18054
"Jiang Chunyun"	0.165387
"Zou Jiahua"	0.162636
"Wang Zhaoguo"	0.159158
Fuling	0.154553
"Zhang Wannian"	0.149076
"Liu Huaqing"	0.147067
Cheng	0.145418
"Qian Zhengying"	0.145194
"Chi Haotian"	0.138046
"Song Jian"	0.136502
"Joseph Ralston"	0.125918
Mukora	0.121217
"Chen Muhua"	0.121199
"Lu Ping"	0.120304
"Lei Jieqiong"	0.108763
"Tin Oo"	0.108723
"Karla Faye Tucker"	0.0993741
Luli	0.0962649
Tian	0.0909041
"Hu Jintao"	0.085192
wrongdoer	0.0840027
"Aryeh Deri"	0.0827143
R-N.J.	0.0820801
"Marzuki Darusman"	0.0813715
"Qian Qichen"	0.0812836
"Yuri Maslyukov"	0.0797981
"Wei Jianxing"	0.0787563
"Peng Peiyun"	0.0782349
Julius	0.0743337
Whitacre	0.0737542
"Gary Graham"	0.0729008
Hofer	0.072783
"Gennady Seleznyov"	0.0709688
"Zeng Qinghong"	0.0702001
Vice-Premier	0.0698226
McDuff	0.0673962
"John Koskinen"	0.0672824
Echegaray	0.0667296
abortionist	0.0658117
"house painter"	0.065483
"Yegor Stroyev"	0.063808
domesticity	0.0631104
Mokhehle	0.0628356
"Jacques Rogge"	0.062813
Ganga	0.0622562
"Hugh Shelton"	0.0618273
"Gerald Levin"	0.0617182
Hamid	0.061662
"Bill Owens"	0.0609744
"Timothy McVeigh"	0.0607248
Contreras	0.0602099
"Li Lanqing"	0.0599087
Cao	0.059771
"Jehovah's Witness"	0.0594193
Hajjarian	0.058865
"Arthur Levitt"	0.0581731
"Luo Gan"	0.0580938
"Qiao Shi"	0.0578674
Oliveira	0.0572742
Barrionuevo	0.0570817
Benazir	0.0565652
Ralston	0.0562072
"Dai Bingguo"	0.0561152
"Nur Misuari"	0.0555455
"Stanley Fischer"	0.0553663
"Wang Daohan"	0.0551745
"Klaus Naumann"	0.0544921
Huang	0.0544825
Haworth	0.0541985
Okamoto	0.0541345
"Richard Butler"	0.0540721
"John Shalikashvili"	0.0540461
Deri	0.0539858
Fortier	0.0539072
non-Serbs	0.0537429
Sithole	0.0535623
"vice- chairman"	0.0535522
Murad	0.0535047
"Wu Yi"	0.0535043
Vice-Foreign	0.053457
Raduyev	0.0532283
Musharraf	0.0525116
"Amien Rais"	0.052292
Papon	0.052205
"John William King"	0.0521408
Sebaggala	0.0517436
Lacresha	0.0516518
"Julian Bond"	0.0516396
Trantino	0.0512829
vice-mayor	0.0512264
VICKERS	0.0508196
Wren	0.0504736
"Gianni Agnelli"	0.050466
"Li Ruihuan"	0.0503946
Carneal	0.0503195
Rashid	0.0502437
"Xiong Guangkai"	0.0501078
Jelisic	0.0500189
"Harry Wu"	0.0499478
Priebke	0.0498808
Crocker	0.0498739
Verney	0.0496624
"Frank Joklik"	0.0495433
"Henry H. Shelton"	0.049453
millon	0.0493243
Machado	0.0492627
Gutman	0.0489285
Goldsmith	0.0488202
Capano	0.0487983
D-Neb	0.0485981
"Wang Dan"	0.0485442
"John Malone"	0.0485352
Imelda	0.0482733
Harmoko	0.0482011
"Koo Chen-fu"	0.0481471
"Robert Aventajado"	0.0480835
"Vaclav Klaus"	0.0479319
"Oladipo Diya"	0.0478981
"Roy Romer"	0.0478199
"Ken Saro-Wiwa"	0.0476721
"Anwar Ibrahim"	0.0476552
Halloran	0.0474814
Conley	0.0472734
R-Ohio	0.0472492
"Czar Nicholas II"	0.0472417
Faulder	0.0472125
"Charles Dolan"	0.0472049
Zhao	0.0471969
"Jim Nicholson"	0.0470554
"Jia Qinglin"	0.0470134
"Ding Guangen"	0.0469188
Limon	0.0468652
"department employee"	0.046748
Martorano	0.0466426
"Tom Johnson"	0.0466371
"Sumner Redstone"	0.0465991
"Yossi Sarid"	0.0465515
Nguyen	0.0465285
"Jaswant Singh"	0.0464746
"Tony Coelho"	0.0464011
Zarb	0.0462396
"Dai Xianglong"	0.0459959
Dowd	0.0458927
Xiao	0.045887
"Jack Welch"	0.0458749
Marx	0.0457531
"Great Hural"	0.0457381
Naumann	0.0456478
Farris	0.0454811
examinees	0.0454175
"Johnny Chung"	0.0454104
Tennant	0.0454065
"Jack Gargan"	0.0452934
"Iranian Jews"	0.0452393
"Hans Blix"	0.0451953
"State Administration of Foreign Exchange"	0.0450526
resister	0.0449245
"Frank Murkowski"	0.0447162
"Shanghai Composite Index"	0.0446992
Stepinac	0.0446762
"Terry Nichols"	0.0444506
Cheung	0.0443452
"Fallon McElligott"	0.0440973
Marinovich	0.0440111
"Steve Case"	0.043951
"Construction Bank of China"	0.043793
SSE	0.0437156
"Fred Meyer"	0.0436554
"Alexis Herman"	0.0433212
"Wu Bangguo"	0.0432536
"Nabil Shaath"	0.0428599
McAllister	0.042753
"Rolf Ekeus"	0.0426944
"Abdollah Nouri"	0.0426026
Barbour	0.0425039
"Chea Sim"	0.0424198
Romanov	0.042327
Berenson	0.0421941
"Defense William Cohen"	0.0421576
"John Browne"	0.042123
"Hans von Sponeck"	0.0420334
"Ricardo Alarcon"	0.0419617
"market order"	0.0419113
"China National Petroleum Corporation"	0.041668
Mease	0.0416601
Danka	0.0416528
Auriemma	0.0416472
Claes	0.0416192
Baba	0.0413665
"Raul Salinas"	0.0412256
))
("Cheng Siwei" (desc 1450.55) (sims
"Zhou Guangzhao"	0.350472
"Wang Guangying"	0.344791
"Tian Jiyun"	0.327943
"Wu Jieping"	0.325572
"Wan Guoquan"	0.321052
"Wang Zhaoguo"	0.303026
Buhe	0.30253
"Wang Hanbin"	0.299269
"Cao Zhi"	0.295539
"Qian Weichang"	0.267153
"Zhang Wannian"	0.256384
Fuling	0.254858
"Zou Jiahua"	0.241753
"Cheng Kejie"	0.22958
"Liu Huaqing"	0.227551
"Jiang Chunyun"	0.227332
"Song Jian"	0.222512
"Lu Ping"	0.21576
Luli	0.212163
"Chen Muhua"	0.209581
"Chi Haotian"	0.204677
"Qian Zhengying"	0.203337
"Peng Peiyun"	0.183755
"Lei Jieqiong"	0.161341
"Joseph Ralston"	0.123569
"Qiao Shi"	0.119442
"Li Ruihuan"	0.117538
Tian	0.111458
"Jia Qinglin"	0.109974
vice-chairwoman	0.107932
"Li Tieying"	0.107087
"Marzuki Darusman"	0.106775
"Gerald Levin"	0.104339
"Wei Jianxing"	0.103454
"Henry Shelton"	0.103357
"Dai Bingguo"	0.103356
"Hu Jintao"	0.103146
"Maung Aye"	0.101504
"Defense William Cohen"	0.0999562
"Ding Guangen"	0.0953427
"Luo Gan"	0.0951407
Councillor	0.0950151
"Fu Quanyou"	0.0949545
"Tin Oo"	0.0944943
"Li Lanqing"	0.0939924
"Qian Qichen"	0.0937092
Zhenyu	0.0909462
"Zeng Qinghong"	0.0899061
"China Central Committee"	0.0895328
"Jacques Rogge"	0.0885251
"Henry H. Shelton"	0.0880932
"Hugh Shelton"	0.086169
"Yuri Maslyukov"	0.0851099
"Chinese People's Political Consultative Conference"	0.0850203
vice-chairman	0.0849349
"Frank Joklik"	0.0849293
"Julian Bond"	0.0847622
"CPPCC National Committee"	0.0845511
"John Malone"	0.0842825
"Huang Ju"	0.0837041
"Koo Chen-fu"	0.0831307
"Bill Archer"	0.081943
Hajjarian	0.0819001
"Jim Nicholson"	0.0813812
"Gennady Seleznyov"	0.0804056
R-N.J.	0.0793379
"Charles Dolan"	0.0790459
"Li Zhaoxing"	0.0787547
Vice-Premier	0.078047
"Tony Coelho"	0.0779665
"vice- chairman"	0.0778259
Mukora	0.0774191
"Chen Ziying"	0.077259
R-Ala.	0.0768679
"Sumner Redstone"	0.0768579
R-Ohio	0.0764284
R-Wis.	0.0758088
"Jack Valenti"	0.0756782
"Yegor Stroyev"	0.0753061
"Yu Yongbo"	0.0749274
"Chinese Communist Party (CPC) Central Committee"	0.0745356
"Li Peng"	0.074491
D-La.	0.0740764
"Chea Sim"	0.0729903
R-Iowa	0.0725184
"Tom Johnson"	0.0723225
"Richard Smith"	0.0721657
R-Del.	0.0720753
"Dan Meridor"	0.0716676
"Alija Izetbegovic"	0.0714568
"Xiong Guangkai"	0.0712203
"Wang Daohan"	0.0712131
"Robert E. Rubin"	0.0709243
"Chinese Communist Party Central Committee"	0.0705118
Cheng	0.0703251
"Shi Guangsheng"	0.0702615
"Arthur Levitt"	0.0701751
"Rolf Ekeus"	0.0698175
D-Neb	0.0697642
"Wu Yi"	0.0697467
Joklik	0.0692261
Zarb	0.0687901
R-Alaska	0.0685526
Chi	0.068511
"Jack Welch"	0.0684127
R-Pa.	0.0672765
BURNHAM	0.0671169
"Yossi Sarid"	0.0666938
"Oskar Lafontaine"	0.066173
R-Vt.	0.0661009
"Than Shwe"	0.0659634
Surin	0.0655693
"Terry McAuliffe"	0.0650828
"Hans Blix"	0.0643957
Velayati	0.0642723
"Martin Lee"	0.0642203
R-Ind.	0.063836
"Drought Relief Headquarters"	0.0638186
"Secretary General Esmat Abdul-Meguid"	0.063614
R-Okla.	0.0634364
"Dick Pound"	0.0632039
"Bill Owens"	0.063021
"John Koskinen"	0.0625912
Brownback	0.0623043
"Lamar Smith"	0.0621595
"John Shalikashvili"	0.0619621
"Frank Murkowski"	0.061478
Qiao	0.0610567
"Political Consultative Conference"	0.0608074
Leavitt	0.0607166
"Asif Ali Zardari"	0.0604471
Ekeus	0.0601032
"J.C. Watts"	0.0600524
R-N.M.	0.059983
"Mikulas Dzurinda"	0.0599643
R-Utah	0.0598315
"Megawati Soekarnoputri"	0.0597079
Ralston	0.0596982
"Wen Jiabao"	0.0594103
"Scott McNealy"	0.0592469
"Political Bureau"	0.0589738
R-Va.	0.0588473
"Michael Eisner"	0.0584789
"Michel Camdessus"	0.0584075
R-Mich.	0.0581735
"National Security Adviser Sandy Berger"	0.0581498
Tennant	0.0580294
R-Neb	0.0578376
R-La.	0.0577726
Tauzin	0.0570581
Stroyev	0.0569656
Meguid	0.056639
R-N.C.	0.0565771
R-S.C.	0.0562927
Peng	0.0562548
"National People's Congress"	0.0562076
Beckenbauer	0.0561455
Ikeda	0.0560126
"Nur Misuari"	0.05592
Murad	0.055773
Galvin	0.0557378
"Central Committee"	0.0551878
"Milos Zeman"	0.0550483
"Lawrence Summers"	0.0550121
"Phan Van Khai"	0.0547387
"Lucio Tan"	0.0544763
"Robert Aventajado"	0.0543458
R-N.H.	0.054345
Naumann	0.0542906
Gosper	0.0542051
R-Fla.	0.0541526
Cao	0.0541173
"Klaus Naumann"	0.0540848
"Jerry Reinsdorf"	0.0540194
Goss	0.0540062
"Richard Bryan"	0.0539379
Xie	0.0536661
"Amien Rais"	0.0536557
Shi	0.0534803
"Ted Stevens"	0.0533039
McConnell	0.0530792
"Steve Case"	0.0529334
vice-chairperson	0.0527757
"Martin Frost"	0.0526654
Hybl	0.052256
"Alexis Herman"	0.0522457
Burleigh	0.0521876
"State Councilor"	0.0521818
Ratliff	0.0521576
Chissano	0.051946
D-Conn.	0.0518883
vice-mayor	0.0518534
Harmoko	0.0518296
"Benjamin Gilman"	0.0516706
"Archbishop Desmond Tutu"	0.0516306
"Shanghai Composite Index"	0.0515501
R-Ky.	0.0515156
D-Texas	0.0511799
Shaath	0.051156
Maslyukov	0.0511232
))
(Chengde (desc 2118.91) (sims
Baoding	0.211415
Datong	0.191029
Zhangjiakou	0.174747
Tangshan	0.167996
Baotou	0.143725
Anshan	0.140612
Zhangjiajie	0.132902
Jinzhou	0.130276
Qinhuangdao	0.129752
Zhangzhou	0.128076
Huangshan	0.121597
Sanya	0.115097
Nago	0.113624
Baalbek	0.113125
Yantai	0.113009
Quanzhou	0.111374
Qingdao	0.111169
Sihanoukville	0.111054
Shashi	0.110784
Wuxi	0.11059
Zhongshan	0.110378
Shijiazhuang	0.110067
Dalian	0.10808
Wenzhou	0.107357
Weifang	0.106959
Sochi	0.104588
Zhangbei	0.104429
Luoyang	0.103528
ZHOUSHAN	0.102554
Lanzhou	0.102035
Suzhou	0.101083
Guiyang	0.100137
Novosibirsk	0.0996968
Bamiyan	0.0973196
Ningbo	0.09673
"Angkor Wat"	0.0961003
Najaf	0.0955114
CHANGCHUN	0.0954937
Antalya	0.0952312
Haicheng	0.0948348
Zhangjiagang	0.0943259
Tianjin	0.0942184
Guilin	0.0941443
Bulawayo	0.0941148
Yichang	0.09291
Dongguan	0.0919778
Beihai	0.090522
Luxor	0.0904952
Xuzhou	0.0895959
Harbin	0.0893584
Hangzhou	0.0891832
Turpan	0.0887967
Cebu	0.0887732
Davao	0.0878363
Hefei	0.0876542
Cartagena	0.0872608
Mashhad	0.0865766
Murmansk	0.0862065
Ensenada	0.0861514
Fushun	0.0857516
Izmir	0.0857257
Xian	0.0854967
Zhanjiang	0.0854437
"Potala Palace"	0.084924
Trincomalee	0.0847342
Weihai	0.084549
Lianyungang	0.0844374
Hyderabad	0.0835597
Dandong	0.0834931
"Hainan Province"	0.0834194
Yinchuan	0.0833384
"San Pedro Sula"	0.0831441
Zhengzhou	0.0831275
Shantou	0.0830987
Zhuhai	0.0827863
Zhenjiang	0.0826261
Liuzhou	0.0826188
"French Alps"	0.0824041
Xiamen	0.0823982
Fuzhou	0.081843
Durres	0.0817659
Jiujiang	0.0813842
Yangzhou	0.0810009
"North China"	0.0808636
Taizhou	0.0805968
NANJING	0.080501
Kunming	0.0804857
Taiyuan	0.0803758
Inchon	0.0801687
Changzhou	0.0801628
Jingdezhen	0.0793012
Beira	0.0778156
"Liaoning Province"	0.0776032
Nanchang	0.0775888
Multan	0.0773543
"Qin Dynasty"	0.0771788
Kandy	0.0770892
Kuito	0.0768669
Shenyang	0.0766761
Golmud	0.0756369
Daqing	0.0747288
Manado	0.0745094
Irbil	0.074319
Gudermes	0.0742019
Ibadan	0.0735958
Taloqan	0.0735955
CHENGDU	0.0735316
"West Lake"	0.0734766
Killington	0.0732999
Bailundo	0.0732498
Basra	0.0731707
"Heilongjiang Province"	0.0725943
Chongqing	0.0725555
Bangalore	0.0720173
Haikou	0.071435
Beidaihe	0.0714132
Bushehr	0.0713133
Aswan	0.0709981
Shaoxing	0.0707495
Dunhuang	0.0702973
"San Carlos"	0.0697
Sidon	0.0695974
Shenzhen	0.0693816
Sevastopol	0.0693815
Khulna	0.0692237
Xining	0.0691601
Tapachula	0.0690951
"Shaanxi Province"	0.0687413
Quetta	0.0685727
Taba	0.0685599
Haifa	0.0683999
Izmit	0.0683358
Zamboanga	0.0682795
Ambon	0.0680378
"CHIANG MAI"	0.0678846
"Bohai Bay"	0.06777
Bayonne	0.0674765
"Fujian Province"	0.0674252
Kisumu	0.0674154
Guayaquil	0.0673876
"Hebei Province"	0.0673785
Huambo	0.0672956
Mosul	0.0672405
Rawalpindi	0.0672352
Cochabamba	0.0671231
"Grand Forks"	0.0671159
Posoltega	0.0668103
Wuhan	0.0667141
"Gansu Province"	0.0666138
Mombasa	0.0663729
"Tianjin Municipality"	0.0663303
Jinan	0.0660237
Bukavu	0.0658509
Ashkelon	0.065826
Makeni	0.0658121
Adana	0.0655245
Changsha	0.0654437
"Novi Sad"	0.0654404
"Shenzhen Special Economic Zone"	0.0653812
Pattaya	0.0652907
Herat	0.065253
"Banja Luka"	0.0651433
Vail	0.0650579
Vavuniya	0.0649889
Casas	0.0649088
Nablus	0.0648988
Matadi	0.0648318
"Ciudad Juarez"	0.0643405
Jalalabad	0.0643354
Andulo	0.0642708
Foshan	0.0637164
Vladivostok	0.0635885
Bazar	0.0635414
CANCUN	0.0635134
Waterbury	0.0634489
Urumqi	0.062871
Jeddah	0.0625989
Cyberjaya	0.0625906
Ismailia	0.0625465
"Jiangxi Province"	0.0622556
Uvira	0.0620561
Ur	0.0619369
Osaka	0.0616848
Pusan	0.0616352
Guangxi	0.0615461
Jaffna	0.06133
Mullaitivu	0.0612982
Hohhot	0.061272
Sipadan	0.0611223
Saida	0.0610659
Karbala	0.0610118
Gdansk	0.0608593
"Shandong Province"	0.0607511
Manta	0.0605934
NIS	0.0605425
Rajshahi	0.0604738
"Santa Clara County"	0.0603893
Christchurch	0.0598988
Lijiang	0.0597881
Sinai	0.0593862
))
(CHENGDU (desc 21194.2) (sims
Kunming	0.378408
Hangzhou	0.375025
Shenyang	0.365428
Zhengzhou	0.36146
NANJING	0.346984
Wuhan	0.343956
Jinan	0.339424
Taiyuan	0.33351
Fuzhou	0.330843
Chongqing	0.327746
CHANGCHUN	0.324677
Changsha	0.321267
Guangzhou	0.320473
Harbin	0.316075
Shijiazhuang	0.315516
Lanzhou	0.314035
Guiyang	0.313209
Haikou	0.310154
Urumqi	0.308676
Hohhot	0.30804
Hefei	0.305317
Dalian	0.29965
Nanchang	0.296214
Xining	0.293203
Yinchuan	0.289848
Nanning	0.287111
Qingdao	0.284216
Tianjin	0.279533
Xiamen	0.279237
Guilin	0.267312
Shenzhen	0.261163
Lhasa	0.259793
Ningbo	0.255358
Suzhou	0.250632
Shanghai	0.249892
Yantai	0.246234
Zhuhai	0.242664
Shantou	0.21734
BEIJING	0.210223
Wenzhou	0.202626
Zhanjiang	0.197527
Wuxi	0.192152
Lianyungang	0.177275
Nantong	0.176584
Yichang	0.172391
Anshan	0.167264
Beihai	0.166735
Qinhuangdao	0.163572
"provincial capital"	0.160822
Luoyang	0.157531
Xian	0.153711
"Addis Ababa"	0.146281
Weihai	0.143673
Zhangjiagang	0.143406
Tangshan	0.141678
MAPUTO	0.139707
Liuzhou	0.136831
"Sichuan Province"	0.13644
HUHHOT	0.135335
HANOI	0.133815
Sichuan	0.133374
Dongguan	0.132541
Quanzhou	0.131981
Sanya	0.131759
Bangkok	0.131626
Zhejiang	0.131616
Kathmandu	0.130427
COLOMBO	0.129759
DHAKA	0.12887
"Guangdong Province"	0.128342
Xuzhou	0.125842
"Phnom Penh"	0.1253
Jiujiang	0.124301
Changzhou	0.124094
Manila	0.123528
YANGON	0.123347
"Kuala Lumpur"	0.123018
Peshawar	0.122466
"Liaoning Province"	0.122405
Jakarta	0.122136
"Ho Chi Minh City"	0.122066
Zhangzhou	0.121547
Guangxi	0.121522
KAMPALA	0.120093
Taipei	0.119881
"Pudong New Area"	0.119739
HARARE	0.119676
Zhenjiang	0.119353
Hainan	0.118689
Zhangjiajie	0.118289
SEOUL	0.117648
Quetta	0.117522
XI'AN	0.117352
Yunnan	0.11714
KIEV	0.116902
JOHANNESBURG	0.116105
BOGOTA	0.11516
Mashhad	0.114853
Luanda	0.113988
Weifang	0.113675
Baotou	0.113496
"Jiangsu Province"	0.112926
BUCHAREST	0.112702
"Ulan Bator"	0.112463
Nairobi	0.112141
Algiers	0.111745
Panzhihua	0.111634
Kuito	0.111305
Dunhuang	0.111219
Yangzhou	0.110629
Fujian	0.110337
Jayapura	0.11031
Lusaka	0.110219
Istanbul	0.110121
Shaanxi	0.109995
"Hubei Province"	0.10985
Lahore	0.109674
Jiangsu	0.109575
CARACAS	0.10953
Dushanbe	0.109462
Amman	0.109293
"Yunnan Province"	0.108648
"Dar es Salaam"	0.108504
"Zhejiang Province"	0.108046
"Buenos Aires"	0.107982
Zhongshan	0.107964
Qinghai	0.107253
Guizhou	0.106151
"New Delhi"	0.106062
Jilin	0.10605
Santiago	0.105507
"Mexico City"	0.105202
SOFIA	0.104169
Gansu	0.104096
Shiraz	0.104013
BUDAPEST	0.103852
Karachi	0.103521
Guangdong	0.103288
Islamabad	0.103121
"Hainan Province"	0.102791
Tripoli	0.102625
Ambon	0.10247
Sarajevo	0.102286
Hunan	0.101868
"Guangxi Zhuang Autonomous Region"	0.101827
Kabul	0.100771
CAIRO	0.100731
"Shaanxi Province"	0.100658
"Fujian Province"	0.100554
Lagos	0.100522
Osaka	0.100316
Shandong	0.0999474
Dili	0.099852
Baku	0.0992132
Calcutta	0.0992023
TEGUCIGALPA	0.09885
Tehran	0.0987569
Riyadh	0.0986858
Macao	0.0984497
"Chongqing Municipality"	0.0980936
Ningxia	0.0980024
Hebei	0.0973482
Prague	0.0972077
Taloqan	0.0967296
"Hong Kong"	0.0964707
"Gansu Province"	0.0962572
BRASILIA	0.0961865
Asmara	0.0960672
Khartoum	0.0960063
Pristina	0.0957857
Havana	0.0957258
TUNIS	0.0956261
ANKARA	0.0955523
"Tel Aviv"	0.0950243
Wellington	0.0948311
Medan	0.0948043
Liaoning	0.0947688
LISBON	0.0947323
"Abu Dhabi"	0.0943857
Lima	0.0942317
Tokyo	0.0941096
Tashkent	0.0940931
Vienna	0.0939369
Huangshan	0.0937186
Xinjiang	0.0935853
Madrid	0.093438
Kinshasa	0.0934122
Henan	0.0932138
Beirut	0.0931551
Quito	0.0926635
TIRANA	0.0926108
"Guatemala City"	0.0925559
Managua	0.0922196
PYONGYANG	0.0920658
Bishkek	0.0919608
Minsk	0.0917829
Bulawayo	0.0917018
MANAMA	0.0916022
Anhui	0.0915111
Windhoek	0.0914321
))
(chenille (desc 1739.74) (sims
brocade	0.156957
mohair	0.146356
cashmere	0.136176
fleece	0.120692
clingy	0.120662
silk	0.111947
"polka dot"	0.111933
wool	0.100841
"royal blue"	0.0998969
pashmina	0.0991773
rayon	0.098951
suede	0.0924503
plaid	0.0875433
Lycra	0.0862364
polyester	0.0833096
chintz	0.0789523
linen	0.0784628
Pendleton	0.0757426
Rockettes	0.0752449
acrylic	0.0749388
"dark blue"	0.0690082
"space age"	0.0668874
Mylar	0.0657503
Energizer	0.0651182
comforter	0.0645253
HERMES	0.0625215
tweed	0.0620326
filament	0.0611628
velvet	0.0588898
Sari	0.0581267
mink	0.0577702
PVC	0.0560152
pickoff	0.0539535
laminate	0.0532233
denim	0.0530456
cardigan	0.0527242
slinky	0.0521834
nylon	0.0519441
"large white"	0.0518558
hemp	0.0515644
castoff	0.0515092
"light brown"	0.0510774
Burgundy	0.0504874
flack	0.0493246
pullover	0.0482081
slipcover	0.0481113
"powder blue"	0.0479493
turquoise	0.0477945
halter	0.047756
DKNY	0.0471197
Kinkade	0.0455963
camisole	0.0442732
bedding	0.0431827
aqua	0.0426679
kimono	0.0423901
chevre	0.0420948
Gaultier	0.0415586
Swimwear	0.0413329
giardia	0.0402844
))
("Chenin blanc" (desc 1496.01) (sims
"Sauvignon blanc"	0.231513
Chardonnay	0.226744
Riesling	0.220594
"Pinot blanc"	0.198659
"Pinot noir"	0.192121
"Cabernet Sauvignon"	0.179113
Zinfandel	0.17162
Syrah	0.170047
merlot	0.16504
"white wine"	0.116625
Cabernet	0.116155
Rhone	0.115508
"sparkling wine"	0.112799
"red wine"	0.087945
aperitif	0.0802307
breadcrumb	0.0721821
chevre	0.068461
franc	0.0683832
liveliness	0.0601895
Alsace	0.0557417
pinot	0.0530032
Beaujolais	0.051111
cheerio	0.0499681
lager	0.049548
Cognac	0.0494731
acidity	0.0492495
cask	0.0492492
Blanc	0.0489124
Chianti	0.0473239
Margarita	0.047049
Burgundy	0.0469722
shaver	0.0465914
canape	0.045425
Martini	0.0435967
"river bed"	0.0428814
yeast	0.0428743
"green bean"	0.0408296
sherry	0.0405618
))
(Chennai (desc 2527.48) (sims
Bangalore	0.317944
Madras	0.278323
Hyderabad	0.276935
PATNA	0.23931
Calcutta	0.220714
Bombay	0.181536
Delhi	0.177179
Lucknow	0.166378
Chisinau	0.164182
Mumbai	0.153099
Karachi	0.151973
Ndola	0.144665
Peshawar	0.134917
Jaipur	0.134697
Mbabane	0.131987
Vilnius	0.127057
Taloqan	0.126618
Astana	0.124915
Ashkhabad	0.12401
Gaborone	0.121293
Vladikavkaz	0.119522
"Banja Luka"	0.117768
Lahore	0.117561
Bamako	0.1154
Murmansk	0.114297
Almaty	0.113779
"PETALING JAYA"	0.113468
Quetta	0.11305
Surabaya	0.112576
Dushanbe	0.111757
Antalya	0.111383
Entebbe	0.111371
Manado	0.110763
Kandahar	0.110602
Windhoek	0.110374
Sharjah	0.109898
Jalalabad	0.109042
Srinagar	0.107181
Mazar-i-Sharif	0.106388
Lubumbashi	0.106058
Muscat	0.105725
Merida	0.105557
Bishkek	0.10534
Yerevan	0.104642
Jeddah	0.104342
Bulawayo	0.103657
Guayaquil	0.101453
Tbilisi	0.101035
Duesseldorf	0.100072
Christchurch	0.0994177
Charikar	0.0986786
Medellin	0.0986316
Cebu	0.0983754
MANAMA	0.0979938
Jayapura	0.0979529
Vientiane	0.0978038
Accra	0.0974042
Podgorica	0.097333
Shiraz	0.096887
Asuncion	0.0966646
"San Pedro Sula"	0.0964091
Novosibirsk	0.0960984
"Port Harcourt"	0.0958803
Cartagena	0.0954584
Guadalajara	0.0953245
Aqaba	0.0950905
Skopje	0.0945226
Conakry	0.094343
Libreville	0.0939333
Davao	0.0934317
Monrovia	0.0930694
Maseru	0.0920491
Phuket	0.0918553
Denpasar	0.0915754
"New Delhi"	0.0911691
Tashkent	0.0908094
Yekaterinburg	0.0901461
Nagoya	0.089972
Dili	0.089919
Kigali	0.0898455
Haikou	0.0894769
Bangui	0.0894207
Moroni	0.0891629
Krasnoyarsk	0.0888023
Port-au-Prince	0.088449
Vladivostok	0.0884096
Mombasa	0.0883297
Tripoli	0.0882946
"Abu Dhabi"	0.0878045
Dearborn	0.0877507
Kandy	0.0876356
Kisumu	0.0863229
Goteborg	0.0860024
Ibadan	0.0857337
Nago	0.0856622
Baotou	0.0855134
Abuja	0.0853603
Mazar-e-Sharif	0.0852351
Minsk	0.0849615
Kupang	0.0848868
Moshi	0.0846415
Bengkulu	0.0846013
Nanning	0.0844983
"Chiang Rai"	0.0843076
Riyadh	0.0842063
MAPUTO	0.084005
Medan	0.083908
Halifax	0.0838091
Durban	0.0837286
"Surat Thani"	0.0836945
"San Salvador"	0.0833993
Bailundo	0.0833357
Strasbourg	0.0833334
Kuito	0.0820668
BLANTYRE	0.0818347
Yaounde	0.0813976
Nanchang	0.081394
Krakow	0.0813636
Guiyang	0.0813565
Abidjan	0.0812907
Sapporo	0.0802692
"Santo Domingo"	0.0801891
Goma	0.0801332
Cochabamba	0.0801058
"East Orange"	0.0800658
Algiers	0.0792787
Izmir	0.0792475
Nakuru	0.0790439
Luanda	0.0786932
Sidon	0.0782155
Salonica	0.0781987
Kuching	0.0779743
"Shah Alam"	0.0773665
Doha	0.0773536
Lome	0.0772247
Inchon	0.077088
TEGUCIGALPA	0.0770489
Tuzla	0.0765386
Toluca	0.0762546
"Ho Chi Minh City"	0.0762519
Najaf	0.0762102
Dulles	0.0759131
Diyarbakir	0.0756717
Jinja	0.0754129
CARACAS	0.0752031
Brazzaville	0.074979
Asmara	0.0749365
Isfahan	0.0748837
Yinchuan	0.0747842
Larnaca	0.0746931
Osaka	0.0744318
"San Sebastian"	0.0741362
Dijon	0.0741265
Sevastopol	0.073976
Istanbul	0.0738845
Pristina	0.0737664
Cali	0.0737276
COLOMBO	0.0735927
CHANGCHUN	0.0735741
Rabat	0.0733846
HARARE	0.0733248
"La Paz"	0.073321
Stuttgart	0.0731197
Lusaka	0.073113
Bujumbura	0.0727544
CHENGDU	0.0725557
Ouagadougou	0.0725214
Changsha	0.0722562
"Tamil Nadu"	0.0721842
Klagenfurt	0.0721572
MELBOURNE	0.0721298
"Johor Baru"	0.0720762
"Egyptian capital"	0.0719093
"Guatemala City"	0.0717612
"CHIANG MAI"	0.0717528
Baku	0.0716755
Urumqi	0.0711677
"Tel Aviv"	0.0710095
"Pulau Pinang"	0.07099
ZAGREB	0.0709886
Aswan	0.0709884
Alexandria	0.070966
Xining	0.0707997
Quanzhou	0.0706226
Rafah	0.0700092
NIS	0.0699393
BRATISLAVA	0.0699114
Manta	0.0698894
Wuhan	0.0698627
Weifang	0.0697993
Pretoria	0.069601
"Dar es Salaam"	0.0695953
Dublin	0.0695688
Belfast	0.0695056
Trincomalee	0.0694143
KAMPALA	0.0693888
Suva	0.0692582
HANOI	0.0692064
Bandung	0.0691572
Andulo	0.06915
))
(Chenoweth (desc 1332.47) (sims
Hayworth	0.143629
Greco	0.141071
Bateman	0.136838
Dunham	0.134105
Ashrawi	0.132395
Arbour	0.126767
Boehner	0.118368
Lawler	0.117043
Gibbons	0.11321
Grasso	0.112402
Hallinan	0.108033
Markovic	0.108004
Mucha	0.106397
Lowey	0.105957
Pape	0.10587
Fiorina	0.105222
Whaley	0.104962
Fink	0.104859
McCartney	0.10447
Kennelly	0.104435
Copeland	0.103688
Webdale	0.102701
Mathews	0.102392
Meissner	0.102226
Boles	0.10083
Slatkin	0.100515
Grimes	0.098136
Orton	0.0977787
Menchu	0.0959724
Janssen	0.0957427
Muir	0.095162
Barrett	0.095126
Kagalovsky	0.0948234
Sheedy	0.0947433
Pirro	0.0947327
Lockwood	0.0937183
krueger	0.0930889
COYNE	0.0929834
Wiggins	0.0927782
Sorensen	0.0924079
Hartman	0.0923044
Broaddrick	0.0919797
Ziegler	0.0911483
Mott	0.0908162
Waxman	0.0905088
Simons	0.0904777
Deneuve	0.0898103
Seligman	0.0897766
Rosenberg	0.0894899
Moran	0.0894611
Rivlin	0.0893488
Soto	0.0889777
Henning	0.0889718
Baer	0.0877326
Jeffers	0.0875141
Norwood	0.0873971
Stahl	0.0873457
Weil	0.086825
Shriver	0.0868044
Lovett	0.0861251
Briscoe	0.0848439
Dickerson	0.08472
Cleary	0.0846455
Aquino	0.0846013
Jaffe	0.0843345
Fasano	0.0841157
Rosario	0.0832539
Rowley	0.0832091
Sharma	0.0830157
Northup	0.0829858
swank	0.0823203
Hahn	0.0822186
Britton	0.0821773
Gilman	0.0816735
Tuttle	0.0812476
Greenwald	0.0811293
Weis	0.0805372
Lurie	0.080382
Lundberg	0.0803341
Soriano	0.0803287
"Gary Johnson"	0.080144
Farber	0.0801141
Mullen	0.0797271
Brundtland	0.0796522
Hiett	0.0795627
Midler	0.0794905
Pascal	0.0791442
Noe	0.0790103
Kraus	0.0789457
Falco	0.0788457
McCormack	0.0786331
Cline	0.0784853
Starovoitova	0.0784529
Butterworth	0.0783546
Jamison	0.0783537
Madden	0.078312
Sund	0.0781963
Russo	0.0780873
Fordice	0.0775542
McDonnell	0.0773869
Feldman	0.0773694
Hamlin	0.0769451
Barshefsky	0.0767915
"McCaughey Ross"	0.0765724
DONOVAN	0.0764869
Fletcher	0.0764856
Tomlin	0.0763756
Barad	0.0760341
Abram	0.0759983
Bisek	0.0759926
Mei	0.0759279
McGinn	0.0755796
McDaniel	0.075415
Flockhart	0.0753823
Stephenson	0.0751536
Huffington	0.0748522
Wasserstein	0.0746323
Ingalls	0.0744827
Horowitz	0.0744629
Oliveira	0.0744025
Snowe	0.0743504
Coburn	0.0742358
Dingell	0.0742301
Charest	0.0738608
Dench	0.0736992
Kurth	0.0736847
Upshaw	0.0734609
Brazile	0.0732966
Shulman	0.0731283
Kehoe	0.0729267
Capps	0.0727516
Zellweger	0.0723825
Schott	0.0723019
Doherty	0.0721898
Soliah	0.0721759
Redgrave	0.0721167
Molinari	0.0720182
Grunwald	0.0720178
Dickey	0.0719937
Speer	0.0718133
Kingsley	0.0717093
Rylander	0.0715454
Bridgewater	0.0712293
Shipley	0.071196
Farley	0.0711436
Bruton	0.0711315
Bragg	0.0711159
Gallo	0.0711069
Lowry	0.071048
Kern	0.0710357
frist	0.070919
Hayden	0.070774
Hagen	0.0707422
Ferraro	0.0706495
Mckee	0.0704309
Goldin	0.0704089
Dion	0.0702505
Boyle	0.0701241
Preston	0.0701063
Sheppard	0.0700036
burrows	0.0698651
Reiter	0.0697493
Lamont	0.0696623
Pierson	0.0694901
Petersen	0.0694427
Patten	0.0693971
Mapes	0.0693771
Garber	0.0693319
Sanan	0.0691302
Tilberis	0.0690774
Olson	0.0689062
Blanchett	0.0688298
O'Sullivan	0.0685432
Pearce	0.0685097
Doggett	0.0684875
Shapiro	0.0683769
CASS	0.0682464
LeFave	0.0680306
Brawley	0.0678921
Nasrin	0.0678796
Neulander	0.0677827
DeFrantz	0.0677377
"Parker Bowles"	0.0674299
McConnell	0.0672808
Portnoy	0.0672328
Zagat	0.0671861
Garvey	0.0671684
"Majority Whip Tom DeLay"	0.0670274
Kelso	0.0669381
Dunn	0.0669124
Ramsey	0.0666733
Cleese	0.0665691
Swenson	0.0664778
Gonzales	0.0663577
"Christopher Shays"	0.0663243
Nilsson	0.0662031
Knapp	0.0660937
Winslet	0.0660499
Groscost	0.06604
MacKay	0.0659146
))
(cheque (desc 5981.29) (sims
invoice	0.0969957
"traveler's check"	0.0904663
Banknote	0.0816856
certificate	0.0750162
debit	0.0734894
"Marco Polo"	0.0693737
"boarding pass"	0.0687296
"promissory note"	0.0677458
"letter of credit"	0.0648495
"personal loan"	0.0645317
diploma	0.0636446
"prize money"	0.063622
scrip	0.0635782
"identity card"	0.063445
passport	0.0633164
"parking ticket"	0.061674
"form letter"	0.0611006
"bank note"	0.0605577
"bank deposit"	0.0604541
"postage stamp"	0.0598136
"speeding ticket"	0.0597773
coupon	0.0595748
"bond issue"	0.0595258
"over @@@ million yuan"	0.0586593
"credit line"	0.0574289
paycheck	0.0558744
"communications satellite"	0.0551997
"application form"	0.0549833
postmark	0.0549042
"Treasury bond"	0.0548439
debenture	0.0539413
"bank card"	0.0537559
"credit card"	0.053713
tranche	0.0536341
"about @@ billion yuan"	0.053521
"cash bonus"	0.0528489
receipt	0.0523751
"over @@ billion yuan"	0.0518675
"medical aid"	0.051015
"driver's license"	0.0502178
"marriage proposal"	0.0502143
remittance	0.0499566
"about @@@ million yuan"	0.0499025
"insurance policy"	0.0490822
"Uganda Shillings"	0.0480439
"commercial paper"	0.047898
"foreign exchange"	0.0478809
"order form"	0.0476809
"money order"	0.0472786
T-bonds	0.0471977
ruble	0.0470371
consignment	0.0470221
"financial obligation"	0.0469517
"line of credit"	0.0466042
"more than @@@,@@@ yuan"	0.0463962
refund	0.0462522
korun	0.045827
bribe	0.045797
"nearly @@@ million yuan"	0.0455687
ID	0.0452399
"retirement benefit"	0.0447928
"Christmas card"	0.0447326
"tax treatment"	0.0447239
"certificate of deposit"	0.0445147
"baseball card"	0.0443956
"RM@@,@@@"	0.0443639
disbursement	0.0442524
"stock option"	0.0442293
testimonial	0.0440005
"sum of money"	0.043847
"work permit"	0.043831
arrears	0.0436875
licence	0.0434533
"spare part"	0.0433354
"information service"	0.043159
"compensation package"	0.0429647
"account statement"	0.0429245
"life insurance"	0.0429101
voucher	0.0428577
"incentive program"	0.0427139
ECU	0.0426827
payouts	0.042458
"membership card"	0.0424068
"medical report"	0.0420864
"equity investment"	0.0419784
rebate	0.0419561
"business card"	0.0418694
counterbid	0.0417688
"annual payment"	0.0417028
"savings bond"	0.0416188
souvenir	0.0415896
"degree program"	0.0415451
"cash register"	0.0414861
"official document"	0.0414088
"personal letter"	0.0414079
VND	0.0413716
"distress signal"	0.0413402
"Zimbabwe Dollars"	0.0413239
traveller	0.0412908
postcard	0.0412148
sheepskin	0.0409442
stub	0.0408575
videophone	0.040853
"consumer credit"	0.0407943
FTA	0.0407205
Ransom	0.0407005
advisories	0.0406057
"medical bill"	0.040575
stethoscope	0.0404929
"six billion yuan"	0.0404377
telegram	0.0403799
dividend	0.0403554
"income tax"	0.040267
"three million yuan"	0.0402182
allowance	0.0402173
"one million yuan"	0.0400962
))
(Cher (desc 10972.8) (sims
"Celine Dion"	0.165213
"Tina Turner"	0.159999
"Mariah Carey"	0.155073
"Whitney Houston"	0.139063
"Britney Spears"	0.138854
"Barbra Streisand"	0.133136
"Aretha Franklin"	0.133
"Diana Ross"	0.122186
"Garth Brooks"	0.120773
"Shania Twain"	0.119834
Madonna	0.11941
"Elton John"	0.115831
"Lauryn Hill"	0.111313
"Eric Clapton"	0.109895
"Michael Jackson"	0.108596
"Ricky Martin"	0.105563
"Julie Andrews"	0.100684
"Bette Midler"	0.0983768
"N Sync"	0.0981268
"Billy Joel"	0.0969055
"Frank Sinatra"	0.0965024
"Dixie Chicks"	0.0942741
"Bruce Springsteen"	0.0930558
"Spice Girls"	0.0926831
brandy	0.0921049
"Jennifer Lopez"	0.0915436
"Rod Stewart"	0.0892864
"Whoopi Goldberg"	0.0884149
Bjork	0.0881503
"Sheryl Crow"	0.0880785
"Christina Aguilera"	0.0875093
"Phil Collins"	0.0861736
"Dolly Parton"	0.0842679
"David Bowie"	0.084157
"Pearl Jam"	0.0840809
"Andrea Bocelli"	0.0840737
"Janet Jackson"	0.0836988
"Puff Daddy"	0.083421
"Bob Dylan"	0.082819
"Backstreet Boys"	0.0826484
"Natalie Cole"	0.0825172
Sinatra	0.082113
"GLORIA ESTEFAN"	0.0812589
"Bill Cosby"	0.0802202
Beatles	0.0800566
"Toni Braxton"	0.0796717
"Alanis Morissette"	0.0783998
"Liza Minnelli"	0.0781383
"Goldie Hawn"	0.0778379
TLC	0.0765487
"Carly Simon"	0.0762664
"Nathan Lane"	0.0762052
"Demi Moore"	0.0760156
"Stevie Wonder"	0.0755337
"Jack Nicholson"	0.0750449
"Johnny Cash"	0.0749052
"Maggie Smith"	0.0748595
"Will Smith"	0.0745623
"Rolling Stones"	0.0744069
"Judy Garland"	0.0732983
"Bob Marley"	0.0732954
Liberace	0.0732382
"Judi Dench"	0.0732032
Babyface	0.0729442
"Willie Nelson"	0.0727414
"Faith Hill"	0.0716105
"Bonnie Raitt"	0.0710685
Aerosmith	0.0701739
"Rosie O'Donnell"	0.0698384
"Paul McCartney"	0.0697615
"Patti Smith"	0.0695981
U@	0.0695784
"Marilyn Monroe"	0.069108
"Jimmy Buffett"	0.0689084
"Eddie Murphy"	0.0686867
"Paul Simon"	0.067966
"LeAnn Rimes"	0.0672431
"Lucille Ball"	0.0670759
"Audra McDonald"	0.0662931
"Tony Bennett"	0.0662348
"Red Hot Chili Peppers"	0.0661982
"Mick Jagger"	0.0660634
"James Taylor"	0.0658299
Spears	0.0639977
"Joni Mitchell"	0.0638091
"Marilyn Manson"	0.0626025
Aguilera	0.0623579
"Robin Williams"	0.0617917
"Elvis Presley"	0.0616825
Eminem	0.0615287
"George Strait"	0.0613306
"Bruce Willis"	0.0609539
"Lily Tomlin"	0.0608357
Dion	0.0607955
Santana	0.0607372
Elvis	0.0606973
"Gwyneth Paltrow"	0.0606938
"George Michael"	0.0604004
"Reba McEntire"	0.0602626
"Cindy Crawford"	0.0601765
"Ben Affleck"	0.0596954
"Geena Davis"	0.0593362
"Josephine Baker"	0.0588051
"Susan Sarandon"	0.0587334
"Marc Anthony"	0.0586287
"Angela Bassett"	0.058546
Springsteen	0.0584575
"Oprah Winfrey"	0.0581476
"Leonardo DiCaprio"	0.0576676
"Billie Holiday"	0.0575469
"Jennifer Love Hewitt"	0.0568859
"Mary J. Blige"	0.0567124
Selena	0.0564394
"Pink Floyd"	0.0563931
"Tom Cruise"	0.0561827
"Elizabeth Taylor"	0.0558727
"Woody Allen"	0.0558697
"John Travolta"	0.0557523
"Julia Roberts"	0.0555396
"Smashing Pumpkins"	0.0554636
"Danny Glover"	0.0554264
"Clint Eastwood"	0.0551246
"Don Henley"	0.0550451
"Lenny Kravitz"	0.0548958
"Rupert Everett"	0.0547488
Pavarotti	0.0544911
RuPaul	0.0543782
Metallica	0.0542285
"Humphrey Bogart"	0.0538732
"Steely Dan"	0.0538373
Monica	0.0536769
"Bing Crosby"	0.0527489
"Neil Young"	0.0525885
"B.B King"	0.0525715
Hepburn	0.0524184
Dylan	0.052413
"Harrison Ford"	0.0523919
"Drew Carey"	0.0523533
"Carlos Santana"	0.0520416
"Meryl Streep"	0.0516775
"Bernadette Peters"	0.0513884
"Linda Ronstadt"	0.0513525
"Sharon Stone"	0.0512953
"Bob Hope"	0.050953
Yoakam	0.050841
"Jane Fonda"	0.0505616
Streisand	0.0505225
"Emmylou Harris"	0.0504897
Dandridge	0.0500701
Brooks	0.0500431
"Arnold Schwarzenegger"	0.0498004
"Sarah McLachlan"	0.0497994
"Annette Bening"	0.0497684
Bono	0.0493193
Costner	0.0492783
"Tom Hanks"	0.0490567
Twain	0.0489953
"Steven Spielberg"	0.0488765
"Dame Judi Dench"	0.0487229
"Jack Lemmon"	0.0486776
"Kevin Costner"	0.0486527
McCartney	0.0486245
"Little Richard"	0.0485077
"Mel Gibson"	0.0483183
Shatner	0.0481411
diva	0.048141
"Macy Gray"	0.0480126
Hank	0.0479778
"AL PACINO"	0.0479563
"Kate Winslet"	0.0474571
"Carol Burnett"	0.047416
"Lou Reed"	0.0473886
Monkees	0.0473199
"John Mellencamp"	0.0472888
"Steve Martin"	0.0471191
"Halle Berry"	0.0470019
Mellencamp	0.0467332
"Bugs Bunny"	0.046664
"Dean Martin"	0.0466561
"Jimi Hendrix"	0.0465329
"Steve McQueen"	0.0462337
"Jodie Foster"	0.0462159
"Jimmy Smits"	0.0460915
Supremes	0.0460715
actress	0.0459508
"Vanessa Redgrave"	0.0459032
Wynonna	0.045868
"Joan Baez"	0.0457504
goosebumps	0.0456537
"Kid Rock"	0.045624
"Chris Rock"	0.0455389
"Kirk Douglas"	0.0455288
Perec	0.0451147
Blondie	0.0450335
"Alfre Woodard"	0.0450277
"Naomi Campbell"	0.0449984
DiCaprio	0.0449696
blowfish	0.0448412
"Audrey Hepburn"	0.0446986
"Michael Jordan"	0.044659
))
(Cherie (desc 1569.9) (sims
Eileen	0.193459
"Bertie Ahern"	0.188804
Tracey	0.188604
Lynne	0.181027
Maureen	0.16301
Doris	0.16134
Kristin	0.15928
Olga	0.154647
"Azizah Ismail"	0.15379
Suzanne	0.15126
Theresa	0.149603
Hadassah	0.148081
alicia	0.142267
Patricia	0.140576
Dolores	0.140111
Evelyn	0.13991
Millie	0.139801
"Wang Yeping"	0.139733
Pam	0.139477
Cathy	0.137485
Juanita	0.137069
JoAnne	0.135866
Frances	0.135595
Terri	0.133332
Kathy	0.131478
Elaine	0.131211
Brenda	0.130372
Stephanie	0.130207
Marianne	0.1299
Cheryl	0.129311
Sonia	0.128769
Christine	0.128281
Debbie	0.128272
Melinda	0.12807
Sheryl	0.128009
Marta	0.127771
Beverly	0.126875
Phyllis	0.125638
Cindy	0.124738
Marlene	0.12455
Diane	0.124133
Kathleen	0.122131
Tipper	0.122096
Lois	0.121548
Sylvia	0.120072
Irina	0.119301
Jacqueline	0.119183
Michele	0.118828
Janice	0.117254
Vicki	0.117068
Carolyn	0.116874
Janet	0.116218
Connie	0.11621
Rita	0.115839
Debra	0.115043
colleen	0.11492
Josephine	0.113552
gloria	0.113361
"Carolyn Bessette Kennedy"	0.112732
Valerie	0.112478
Lori	0.112347
Donna	0.111754
Rhonda	0.111657
Denise	0.111575
"Graca Machel"	0.111543
Shirley	0.111442
Monique	0.110026
Helen	0.10823
Edith	0.107834
Marian	0.107527
Camille	0.106686
Susan	0.106406
Teresa	0.106397
Renee	0.106112
Margaret	0.105627
Judy	0.105602
Peggy	0.105524
Linda	0.104739
Esther	0.104654
Elena	0.104545
Winnie	0.104407
Meg	0.10437
Patti	0.104058
"Leigh Ann"	0.103747
Alexandra	0.102955
Marilyn	0.102561
Jill	0.102203
Pauline	0.101454
Lisa	0.100204
Deborah	0.1
Vera	0.0992773
Eleanor	0.0990368
Kathryn	0.0987266
Sandra	0.0984182
Louise	0.0980415
Dorothy	0.0971715
Nancy	0.0964791
Marge	0.0962514
hazel	0.0956276
Claudia	0.095328
Norma	0.0952706
Jeanne	0.0936869
Lydia	0.0934815
Anne	0.0934748
Laura	0.0930233
"Zhu Lin"	0.0928653
Michelle	0.0927378
Wanda	0.0926599
Barbara	0.0915866
Marcia	0.0914435
Polly	0.091423
Carol	0.0910918
becky	0.0909365
Anita	0.0908495
Sara	0.0908442
Mona	0.0907918
Andrea	0.0907447
Tina	0.0904432
Sheila	0.0896991
ANN	0.0895966
Lyn	0.0888675
Sally	0.0887107
Leah	0.0881204
Marie	0.0877799
Julia	0.0873445
Miriam	0.086942
Audrey	0.0869139
"Queen Noor"	0.0864476
"Carmen Electra"	0.0861057
Alma	0.085197
Naomi	0.0844778
Lucille	0.084178
Lucia	0.0836794
Annie	0.0835982
Betty	0.083581
Billie	0.0835074
Liz	0.0834135
Joan	0.0824679
Natalie	0.0821552
Kimberly	0.0820556
Jackie	0.0814654
Brooke	0.0810123
Ahern	0.0802022
Beth	0.0799446
Melissa	0.0791119
Toni	0.0785605
Julie	0.0784608
Roberta	0.0784393
Clara	0.0780904
Betsy	0.0780089
Karen	0.0776221
Libby	0.0771213
Cynthia	0.0767124
Jennifer	0.0767037
Angela	0.0763299
Amy	0.0761019
Colette	0.0756605
Fasano	0.074903
Claire	0.0745099
Nina	0.0743109
Sharon	0.0739996
"Barbara Bush"	0.0738045
"Antonio Guterres"	0.0737754
Gail	0.0737488
Erica	0.0734835
Rachel	0.0734328
Lynn	0.0729165
Kay	0.0724088
Marion	0.0719116
Paula	0.0710939
Laurie	0.070661
"Tipper Gore"	0.0706141
Sarah	0.0700748
Caroline	0.069462
Gillian	0.0693235
Olivia	0.0688741
Nada	0.0685145
Karenna	0.0678417
Maria	0.0677173
Arlene	0.0675691
"Lauren Bessette"	0.0671689
GIA	0.066719
Dora	0.0666597
Martha	0.0665122
daphne	0.0662952
Rebecca	0.0661284
Nicole	0.0658394
"Jane Fonda"	0.0655985
Ellen	0.0655076
"Nicole Brown Simpson"	0.0651463
Alison	0.0648815
Stacy	0.0647339
Nora	0.0645789
Ida	0.0642395
anna	0.0640991
Jane	0.0640485
Wendy	0.0636206
patsy	0.0632584
"Patsy Ramsey"	0.0625744
Gina	0.0624363
))
(Chernobyl (desc 8762.22) (sims
Bushehr	0.143456
"Three Mile"	0.136258
Tokaimura	0.115269
Hanford	0.102791
millstone	0.0938798
Eschede	0.0873463
"nuclear reactor"	0.0866434
reactor	0.0767437
"Oak Ridge"	0.0742506
Bellingham	0.0741031
"Unit @"	0.0740618
"heavy water"	0.0740254
"paper mill"	0.0730882
Kursk	0.0666485
mill	0.0626667
"Exxon Valdez"	0.0624753
refinery	0.060965
"power plant"	0.0604832
adenovirus	0.0602548
HIV-@	0.0590468
ebola	0.0569848
"West Nile"	0.055839
smelter	0.0553287
Melissa	0.0552043
"Orient House"	0.0512127
"bomb site"	0.0508151
smallpox	0.0505518
pox	0.0505104
"one billion US dollars"	0.050092
"TWA Flight @@@"	0.0491022
Paducah	0.0478543
"Hurricane Andrew"	0.0477342
hydro	0.0470271
HIV	0.0469036
"Georges Bank"	0.0465167
"Miller Park"	0.045397
leprosy	0.045046
"wind power"	0.0447391
encephalitis	0.0445709
Tous	0.0444186
polio	0.0437624
RP	0.0432015
brewery	0.043186
Columbine	0.0427814
Delphi	0.04262
TWA	0.0424556
"nuclear power"	0.0424074
"oil refinery"	0.041762
"hepatitis B"	0.041684
"Northeast Utilities"	0.0414517
iVillage	0.0412642
"Pinehurst No. @"	0.0409343
flint	0.0407417
ENTERGY	0.0404842
"Philippine Airlines"	0.0402229
))
(Chernomyrdin (desc 30175.7) (sims
"Viktor Chernomyrdin"	0.293675
Primakov	0.244521
Kiriyenko	0.244379
"Sergei Kiriyenko"	0.232419
"Yevgeny Primakov"	0.228745
Stepashin	0.215184
Putin	0.185432
Holbrooke	0.172358
"Sergei Stepashin"	0.171399
Yeltsin	0.16955
Obuchi	0.158363
Annan	0.156267
"Vladimir Putin"	0.153668
Kuchma	0.151321
Hashimoto	0.150037
Prodi	0.148925
Albright	0.14845
Chirac	0.14667
Lebed	0.144418
Sergeyev	0.143835
Kinkel	0.143538
Ivanov	0.142722
Chuan	0.142711
Ecevit	0.138223
Mandela	0.137703
Vajpayee	0.137672
Mubarak	0.136458
Barak	0.136161
Schroeder	0.136001
Habibie	0.135856
"Hun Sen"	0.134165
Clerides	0.134137
"Tony Blair"	0.133476
Netanyahu	0.13333
Lukashenko	0.132753
Chubais	0.131763
Blair	0.13169
Peres	0.130811
"Atal Bihari Vajpayee"	0.130355
"Ryutaro Hashimoto"	0.130207
Khatami	0.129714
Arafat	0.127356
Sharif	0.1271
Aziz	0.126206
"Richard Holbrooke"	0.12592
Mori	0.125788
Luzhkov	0.125012
Talbott	0.124935
Zhu	0.124669
Hariri	0.124002
Moi	0.123316
Dini	0.123245
Rugova	0.123081
Pangalos	0.122987
"Yoshiro Mori"	0.122252
"Chuan Leekpai"	0.122028
Jospin	0.121991
Ahtisaari	0.121871
Mordechai	0.121549
"Benjamin Netanyahu"	0.121339
"Kofi Annan"	0.121188
Gujral	0.121117
"Keizo Obuchi"	0.121097
Yavlinsky	0.121079
"Ehud Barak"	0.121038
Chretien	0.120644
Mugabe	0.120029
"Mikhail Kasyanov"	0.11998
Jiang	0.119884
Zyuganov	0.119286
Mahathir	0.119257
Solana	0.118688
Nazarbayev	0.118618
Wahid	0.117657
D'Alema	0.117634
Kohl	0.117611
Estrada	0.117465
Yilmaz	0.116238
Ahern	0.116143
"Mahathir Mohamad"	0.115796
Qian	0.115288
"William Cohen"	0.115266
"Romano Prodi"	0.115165
Komura	0.114423
Mbeki	0.114293
"Jean Chretien"	0.114006
Zedillo	0.113887
Goh	0.113821
Simitis	0.113714
Premier	0.11369
Tung	0.113123
Kasyanov	0.112982
"Phan Van Khai"	0.112199
Cohen	0.112144
"Meles Zenawi"	0.11186
Hasina	0.111773
"Javier Solana"	0.111127
Denktash	0.110683
"Nawaz Sharif"	0.110461
Chavalit	0.110329
"Bulent Ecevit"	0.109841
Maskhadov	0.109681
Rafsanjani	0.109638
Kharrazi	0.109467
"President Kim Dae-jung"	0.109093
"Lionel Jospin"	0.108835
Alatas	0.108794
"secretary of state"	0.108749
Moussa	0.10873
"Costas Simitis"	0.108648
"Kim Jong-pil"	0.108422
"Victor Chernomyrdin"	0.108379
Trimble	0.108337
Demirel	0.107818
"Pandeli Majko"	0.107348
minister	0.106544
"Atal Behari Vajpayee"	0.106524
Fischer	0.106346
Greenspan	0.106312
Daley	0.106129
"John Howard"	0.106123
Weizman	0.106074
Museveni	0.105806
"de Charette"	0.105487
Vedrine	0.104891
Milutinovic	0.104877
Samaranch	0.104801
Bulatovic	0.10435
Abdullah	0.104152
Chancellor	0.104031
Menem	0.103768
Chiluba	0.103722
envoy	0.103458
Moratinos	0.103439
"Inder Kumar Gujral"	0.103413
"Benazir Bhutto"	0.103322
Kabbah	0.103016
"Goh Chok Tong"	0.102861
"Mesut Yilmaz"	0.102708
Cem	0.102423
Lahoud	0.102421
"Sheikh Hasina"	0.102287
"Shimon Peres"	0.101987
al-Sahhaf	0.10195
Gadhafi	0.101629
Ekeus	0.101359
"Binyamin Netanyahu"	0.101302
Meles	0.101168
Milosevic	0.101155
"Salim Hoss"	0.10091
Assad	0.100608
"Rafik Hariri"	0.100542
Blatter	0.100528
Hormel	0.100348
Aznar	0.100186
"John Major"	0.0998438
Hastert	0.0998359
Ranariddh	0.0998009
Musharraf	0.0994946
"Frederick Sumaye"	0.0991371
Kostunica	0.0987851
"Boris Yeltsin"	0.0985642
Sharon	0.0985602
Dehaene	0.0982555
Abubakar	0.0981816
"Valery Pustovoitenko"	0.098102
"Atef Obeid"	0.0980552
Mkapa	0.0979289
Wolfensohn	0.097768
Lieberman	0.0976801
"Bertie Ahern"	0.0976454
"finance minister"	0.0973553
Banharn	0.0970687
MIYAZAWA	0.0970555
Velayati	0.097041
Clinton	0.0969919
"Tariq Aziz"	0.0967603
Fujimori	0.0967517
Shevardnadze	0.096599
Scalfaro	0.0963679
Wiranto	0.096309
Pastrana	0.096252
"Bill Lann Lee"	0.0955819
President	0.0952025
Koirala	0.0950292
Pataki	0.0947979
Deuba	0.0947922
"Wlodzimierz Cimoszewicz"	0.0946446
Maslyukov	0.0945206
"Anatoly Chubais"	0.0945133
"Ivan Kostov"	0.0942229
"Li Peng"	0.0940395
Obasanjo	0.0940256
"Radu Vasile"	0.094023
Supachai	0.0940131
Constantinescu	0.0937862
Tarawneh	0.0934543
Tudjman	0.093347
al-Sharaa	0.0927636
Hoss	0.0926581
))
(CHEROKEE (desc 5080.51) (sims
Gwinnett	0.179383
DeKalb	0.140468
Hopi	0.119919
Fulton	0.114702
Maasai	0.105599
Navajo	0.094583
Makah	0.0900929
Seminole	0.0888944
"American Indian"	0.087556
Oneida	0.0872364
Iroquois	0.0840186
Cayuga	0.0820876
Sioux	0.0775808
Hawaiian	0.0768817
Seneca	0.0706994
Pueblo	0.067775
"native American"	0.067071
Mohawk	0.0664541
Maori	0.0643684
Berber	0.0631645
Cobb	0.0630456
Broward	0.0590719
Cheyenne	0.0590533
Tibetan	0.0586505
Forsyth	0.0583008
Khmer	0.0573472
Scottish	0.05729
Mayan	0.0551152
Sephardic	0.0548345
Middlesex	0.054691
Hausa	0.0536862
"Pitt County"	0.0535425
Zulu	0.0531257
Germanic	0.0530366
Korean	0.0528242
Hillsborough	0.0522098
"Eastern European"	0.0521756
Inuit	0.0515828
Appalachian	0.0512862
Polynesian	0.0507886
Javanese	0.0507175
"Johnson County"	0.050364
"Middle Eastern"	0.0501541
"Madison County"	0.0496461
Acadian	0.0493753
"Fulton County"	0.0487317
Zhangbei	0.0486917
"Williamson County"	0.0486325
Apache	0.0483677
"Dallas County"	0.0474127
Eskimo	0.0466466
sharecropper	0.0459883
Zhuang	0.0458684
"Orthodox Christian"	0.0456361
"Stone Age"	0.0456111
Slavic	0.0455438
Rockdale	0.0448621
"Blue Ridge"	0.0446667
"Fayette County"	0.0443624
"French Canadian"	0.0442584
Ivorian	0.0437572
"Research Triangle Park"	0.0436715
Welsh	0.043429
Miao	0.0434023
Sussex	0.0433488
"Jefferson County"	0.0433121
"Southern Baptist"	0.0433083
Mongol	0.043295
colorblind	0.0432728
Monmouth	0.0431393
Thirty-four	0.0430813
cayman	0.0428041
forty	0.0427917
Catalan	0.0427841
"Travis County"	0.0425817
Montenegrin	0.0419084
"Rockdale County"	0.0417851
"Riverside County"	0.0412305
Amish	0.0404895
BASQUE	0.040213
"Palm Beach County"	0.0400566
))
(Cherry (desc 21776.8) (sims
apricot	0.223917
peach	0.215288
plum	0.213624
raspberry	0.204126
pear	0.202905
fig	0.201991
blueberry	0.189688
pecan	0.186548
strawberry	0.18116
almond	0.179432
pineapple	0.178732
nectarine	0.171414
prune	0.169194
walnut	0.167485
raisin	0.167362
mango	0.16609
blackberry	0.161493
apple	0.15994
melon	0.15959
berry	0.158369
lemon	0.155232
coconut	0.155163
grape	0.151327
tomato	0.151103
avocado	0.140845
banana	0.13979
olive	0.138632
persimmon	0.13662
cranberry	0.133974
fruit	0.129959
onion	0.124858
currant	0.123751
papaya	0.12276
vanilla	0.12253
Orange	0.120521
tangerine	0.120376
RHUBARB	0.119674
"whipped cream"	0.119556
chocolate	0.117843
mint	0.115885
mushroom	0.114453
"macadamia nut"	0.113641
pumpkin	0.11325
citrus	0.112368
cucumber	0.112264
watermelon	0.111832
grapefruit	0.111693
potato	0.111627
cashew	0.11161
celery	0.109843
fennel	0.108791
nut	0.10793
cantaloupe	0.107482
lettuce	0.107107
hazelnut	0.106919
sugar	0.105098
carrot	0.104909
pistachio	0.104555
"bell pepper"	0.104519
pepper	0.104303
"pine nut"	0.104225
lime	0.103169
spinach	0.103111
"blue cheese"	0.102034
"brown sugar"	0.101158
"cherry tomato"	0.101036
peanut	0.100361
"green bean"	0.100204
"sweet potato"	0.100119
vegetable	0.0998178
cheese	0.0997928
pea	0.09934
ginger	0.0990981
honey	0.0990855
parsley	0.0985972
cilantro	0.0984498
Garlic	0.0982973
yogurt	0.098022
cabbage	0.0977933
Basil	0.0976958
"red pepper"	0.0974082
"sour cream"	0.0970216
Quince	0.0967845
licorice	0.0961739
caramel	0.0958221
bean	0.0943819
"pineapple juice"	0.0942985
zucchini	0.0941624
"dried fruit"	0.0939289
Oak	0.0936212
"orange peel"	0.0935934
"peanut butter"	0.0922605
pomegranate	0.0922472
spice	0.0919266
beech	0.0917283
cream	0.0915137
herb	0.0911395
butter	0.0905354
"shiitake mushroom"	0.0898208
"lemon juice"	0.0894045
cinnamon	0.0893541
mayonnaise	0.0890967
"black olive"	0.088335
"orange juice"	0.0881719
crumb	0.0876623
marshmallow	0.0874502
Maple	0.0872035
"green onion"	0.0870833
Elm	0.0870523
leek	0.0870428
vinegar	0.0870348
asparagus	0.0868829
eggplant	0.0865742
florets	0.0861964
chicken	0.0860531
jalapeno	0.0859935
sauce	0.0854335
"ice cream"	0.0853811
"cottage cheese"	0.0848437
chilies	0.0848099
juice	0.0843505
slice	0.0836573
milk	0.0832145
corn	0.0829421
"goat cheese"	0.0822355
shallot	0.082128
"vanilla ice cream"	0.0817083
chive	0.0816541
mustard	0.0815808
leaf	0.0814899
Broccoli	0.0814667
"coconut milk"	0.0807861
dill	0.0806105
anchovy	0.0805038
buttermilk	0.0803567
scallion	0.0802596
hickory	0.080222
egg	0.079439
oatmeal	0.0791698
chiles	0.0788711
syrup	0.0788027
shrimp	0.0787093
tomatillo	0.0784346
"winter squash"	0.0778213
cider	0.0777104
clove	0.0776123
"egg white"	0.077499
fraiche	0.0772269
Chili	0.0769613
bread	0.0767505
"passion fruit"	0.0767049
salad	0.0763137
"cream cheese"	0.0762767
lavender	0.07571
ricotta	0.0756558
"pumpkin seed"	0.0756347
custard	0.0755679
"red onion"	0.0755062
breadcrumb	0.0754236
"lemon zest"	0.0748542
"citrus fruit"	0.0748498
flower	0.0741952
thyme	0.073955
okra	0.0737541
meat	0.0737218
"tomato sauce"	0.0735017
oregano	0.0734215
sausage	0.0734094
lentil	0.0733278
bacon	0.0729398
artichoke	0.0727014
oat	0.0726738
puree	0.0722109
beet	0.072015
"green olive"	0.0719693
pesto	0.071911
flavor	0.0716379
marjoram	0.0715611
truffle	0.0714628
rice	0.0713724
noodle	0.0713191
cake	0.0712244
tarragon	0.0712072
oyster	0.0709115
"bean sprout"	0.0706875
kernel	0.0704728
vinaigrette	0.0704235
soup	0.069967
liqueur	0.0698145
"orange zest"	0.0696716
"olive oil"	0.0693658
half-and-half	0.0693507
chutney	0.0690246
sorbet	0.0688461
kumquat	0.0685124
ham	0.0683413
prosciutto	0.0681331
praline	0.0681006
poplar	0.0679893
Chickpea	0.0676631
))
("Cherry Hill" (desc 2130.43) (sims
"East Orange"	0.251453
Montclair	0.194183
Englewood	0.188599
"Fort Lee"	0.185334
Morristown	0.171959
Westfield	0.16268
Lawrenceville	0.159945
Hackensack	0.156336
LAKEWOOD	0.154954
"Union City"	0.149354
Chatham	0.146953
Wildwood	0.145634
Bridgewater	0.144506
"El Segundo"	0.144313
Somerville	0.140673
"Round Rock"	0.138192
Clifton	0.136997
"Monmouth County"	0.127805
Bloomfield	0.126762
"West Orange"	0.126743
"Walnut Creek"	0.125994
"White Plains"	0.123851
Secaucus	0.122213
"Saratoga Springs"	0.121702
Ridgewood	0.121098
"Highland Park"	0.119255
Bayonne	0.118882
Hoboken	0.117622
"Garden City"	0.1176
Sausalito	0.115759
"TOMS RIVER"	0.115562
"Overland Park"	0.113868
"Newport Beach"	0.113695
TRENTON	0.113246
Westport	0.11271
Watertown	0.112254
Encino	0.112037
Sparta	0.111916
"East Hampton"	0.11075
Paterson	0.11074
"Palm Beach Gardens"	0.11061
Fairfield	0.10991
"Ocean City"	0.109583
Medford	0.109423
Tarrytown	0.10803
Plano	0.106818
MINEOLA	0.10675
"Woodland Hills"	0.105971
Hillsboro	0.104872
Plattsburgh	0.104717
Woodbridge	0.104603
Camden	0.104552
"Delray Beach"	0.103977
"Bergen County"	0.103803
"San Mateo"	0.102187
Fremont	0.102181
"Midtown Manhattan"	0.102013
"Gwinnett County"	0.101366
Chatsworth	0.101291
Alameda	0.100578
Irvington	0.100421
Alpharetta	0.100391
Bangor	0.0999969
Peekskill	0.0995007
Williamstown	0.0981026
Burlingame	0.0979549
"Thousand Oaks"	0.0975001
Pittsfield	0.0972135
"Van Nuys"	0.0966142
"Coral Gables"	0.0965219
Middlesex	0.0964288
"Ciudad Juarez"	0.0957043
Randolph	0.0954954
Rutherford	0.0947931
"New Rochelle"	0.0932174
"West Los Angeles"	0.0921779
Middletown	0.0921671
Carmel	0.0920437
Rockville	0.0914734
"Warren County"	0.0913384
Sunnyvale	0.0911701
"Paradise Valley"	0.0909077
Stamford	0.0907574
Riverdale	0.0906765
Buckhead	0.0900653
Duluth	0.0898879
Calabasas	0.0897835
Dunwoody	0.0897349
Farmington	0.0897029
Hialeah	0.0886713
"Fort Dix"	0.0884469
"Cobb County"	0.0881208
Pomona	0.0874386
Chappaqua	0.0872813
Hempstead	0.0869034
"La Jolla"	0.0863833
Nashua	0.0862275
Norwalk	0.0860633
Newark	0.0856391
Groton	0.08517
"East Rutherford"	0.0847446
"Westchester County"	0.0847023
"Fort Wayne"	0.0846216
Greenwich	0.0844727
"Miami Beach"	0.0843777
"Borough Park"	0.0843711
"Silver Spring"	0.0839734
Boise	0.0839457
"Sherman Oaks"	0.0836569
Princeville	0.0832305
"Palo Alto"	0.0831408
"Pacific Palisades"	0.0824373
Roanoke	0.081919
"New Haven"	0.0817274
"Sussex County"	0.0816771
"Boynton Beach"	0.081543
Needham	0.081418
Tarzana	0.0813928
Lenexa	0.0810686
"Hollywood Hills"	0.0809598
"Brooklyn Heights"	0.0805404
"West Palm Beach"	0.0805217
Eureka	0.0803731
"South San Francisco"	0.0803684
"Boca Raton"	0.0802301
Raleigh	0.0801571
"Palm Beach"	0.0801451
Longview	0.0799023
"Chapel Hill"	0.0798571
Brentwood	0.0795955
"Westlake Village"	0.0795049
Princeton	0.0783096
Yonkers	0.0779507
Martinsville	0.0778871
"Lake Worth"	0.0776438
Nago	0.0775224
Amherst	0.0774096
Scarsdale	0.0772963
Norcross	0.0769015
Tijuana	0.0768761
"North Hollywood"	0.0767538
Greenville	0.0766349
"Santa Monica"	0.0764915
Herndon	0.0762396
Woburn	0.0760724
"Mill Valley"	0.0759414
Brookline	0.0757159
Neptune	0.0753503
Utica	0.075312
BRIGHTON	0.0747985
Northampton	0.0744109
Linden	0.0743169
Spokane	0.0739455
Evanston	0.0738901
Wilmington	0.0735068
Verona	0.07329
Brunswick	0.0731444
Pleasantville	0.0730162
Waltham	0.0726428
riverside	0.0723976
Elmira	0.0722514
"Simi Valley"	0.0721871
Scottsdale	0.0720928
"Marin County"	0.0719456
Marlborough	0.0718061
"Culver City"	0.071534
Youngstown	0.0712412
Renton	0.0711885
Pennington	0.0710236
"Beverly Hills"	0.0708993
canton	0.0707623
Tokaimura	0.0706993
"Fort Worth"	0.070634
"Baton Rouge"	0.0704695
Albuquerque	0.0703859
"Mount Vernon"	0.0700544
"Santa Ana"	0.0699693
"Essex County"	0.0697492
Wellesley	0.0696304
"San Fernando Valley"	0.0694596
Fayetteville	0.0694211
Derry	0.0693957
Bridgeport	0.0693588
"Port Elizabeth"	0.0693326
Bellevue	0.0691957
Winston-Salem	0.0691437
Lexington	0.069135
"San Rafael"	0.0691051
Springfield	0.0689649
"East Los Angeles"	0.068889
Chamonix	0.0686244
ASHEVILLE	0.0684477
Uniondale	0.0683111
"Menlo Park"	0.0682215
Provo	0.0682191
Carrollton	0.0680916
Fairfax	0.0678737
"St. Paul"	0.0677825
"Rocky Mount"	0.0677532
Guadalajara	0.0676583
))
("cherry tomato" (desc 4698.94) (sims
"black olive"	0.191919
zucchini	0.183597
shallot	0.182739
"bell pepper"	0.182642
tomato	0.169612
"red onion"	0.166788
cucumber	0.16669
onion	0.166006
eggplant	0.164605
"red pepper"	0.162427
fig	0.154993
leek	0.15366
celery	0.14651
"brussels sprout"	0.142988
Basil	0.136668
carrot	0.134674
"green onion"	0.133289
"plum tomato"	0.133276
lettuce	0.133025
parsley	0.13296
olive	0.13201
pepper	0.130166
cilantro	0.129634
"shiitake mushroom"	0.128726
scallion	0.12752
fennel	0.126257
mushroom	0.125983
"green pepper"	0.125809
"beef broth"	0.125153
"green bean"	0.125138
walnut	0.124932
Garlic	0.12287
"chicken broth"	0.122845
raspberry	0.122781
oregano	0.122356
pineapple	0.119626
"heavy cream"	0.119408
cabbage	0.119008
radish	0.118365
okra	0.116884
melon	0.116695
"Swiss chard"	0.116347
"whipping cream"	0.115365
watercress	0.113666
spinach	0.113462
beet	0.112489
prosciutto	0.110608
"garlic clove"	0.110301
mozzarella	0.109998
"pine nut"	0.109684
potato	0.108293
Chickpea	0.107558
arugula	0.107495
tarragon	0.107408
cantaloupe	0.107285
pear	0.107269
Broccoli	0.106659
"lemon juice"	0.106657
chive	0.106552
artichoke	0.106378
chard	0.106153
marjoram	0.105852
squash	0.105651
"cottage cheese"	0.105367
chilies	0.105326
mango	0.104445
papaya	0.104336
avocado	0.103835
mint	0.103594
chervil	0.103185
breadcrumb	0.102934
plantain	0.102194
half-and-half	0.102091
"coconut milk"	0.101769
pea	0.101322
nectarine	0.101064
jalapeno	0.101043
Cherry	0.101036
mustard	0.100379
"chili pepper"	0.0996396
"chicken stock"	0.0992834
peach	0.0991886
"chicken breast"	0.099166
lentil	0.0987249
lemon	0.0976715
"snow pea"	0.0972559
cheese	0.0969437
"black bean"	0.0968236
"peanut oil"	0.0959958
chiles	0.0956016
"bay leaf"	0.0955881
"sweet potato"	0.0955363
"goat cheese"	0.0952926
rosemary	0.0950022
canola	0.0949829
watermelon	0.094346
pasta	0.0941989
anchovy	0.0938914
plum	0.0935394
thyme	0.0935023
Endive	0.0933066
apricot	0.0932808
turnip	0.092601
shrimp	0.0924346
frisee	0.0922751
"soy sauce"	0.0918528
"sour cream"	0.0913064
ginger	0.091119
ricotta	0.0908057
"white bean"	0.0906372
grape	0.0898666
"romaine lettuce"	0.0897697
vinegar	0.089396
chorizo	0.0892265
"tomato paste"	0.0890943
croutons	0.0889358
blackberry	0.0887754
pumpkin	0.088716
yogurt	0.0884979
"wild rice"	0.0883028
almond	0.0880435
florets	0.0878942
lime	0.0877428
"fava bean"	0.0874511
"lime juice"	0.087169
mesclun	0.086675
pancetta	0.0864439
herb	0.0863862
"fennel seed"	0.086266
"vanilla ice cream"	0.0856269
macaroni	0.0854455
strawberry	0.0850192
dill	0.0847451
"olive oil"	0.084005
bean	0.0837845
"red bell pepper"	0.0828602
apple	0.0825009
"brown sugar"	0.0818522
RHUBARB	0.0816998
"macadamia nut"	0.0815731
cornmeal	0.0813385
cauliflower	0.0813345
paprika	0.0811655
blueberry	0.0811449
"hard-boiled egg"	0.0808417
pecan	0.0802711
vegetable	0.0802692
caper	0.0792295
"white wine"	0.0787027
"cider vinegar"	0.0786254
"lemon zest"	0.0775888
cranberry	0.0769192
morel	0.0766853
Orange	0.076679
clove	0.0764547
porcini	0.0761383
"tomato sauce"	0.0759007
berry	0.0754448
salami	0.0752632
tortilla	0.0747067
"black pepper"	0.0738256
peppercorn	0.07368
vinaigrette	0.073655
"chili sauce"	0.0732457
peanut	0.0732322
romaine	0.0731635
bacon	0.0726722
"orange zest"	0.072638
"evaporated milk"	0.0723147
kernel	0.0723138
Kale	0.072266
marshmallow	0.0721739
asparagus	0.0721161
sausage	0.0719773
mayonnaise	0.0718514
"wine vinegar"	0.0711056
salt	0.0709878
"skim milk"	0.0708584
banana	0.0707286
veggie	0.0706781
meatball	0.0706287
puree	0.0705944
Or	0.0704744
corn	0.0704182
"blue cheese"	0.0702788
"tomato juice"	0.0701352
"green olive"	0.0700424
radicchio	0.0699246
pesto	0.0699176
legume	0.0697031
ketchup	0.069279
flake	0.0692782
"hot sauce"	0.0691322
buttermilk	0.0687576
"bean sprout"	0.068663
"cumin seed"	0.0683156
raisin	0.0682881
millet	0.0682238
"pumpkin seed"	0.0680123
Chili	0.0678378
))
(cherub (desc 1924.51) (sims
sconce	0.0858622
dragonfly	0.0831768
shamrock	0.082077
gargoyle	0.0776374
chalice	0.0699233
teapot	0.0675834
"Blue Dog"	0.0662849
Sphinx	0.0644085
"Easter bunny"	0.0618326
magpie	0.0583705
topiary	0.0579461
rosette	0.0578095
"Virgin Mary"	0.0568639
candelabra	0.0551272
urn	0.054736
sundial	0.0544516
"Don Juan"	0.0541025
"little hand"	0.0535785
bridegroom	0.0526825
"shower stall"	0.0522453
"Little Dog"	0.0514643
stork	0.0512759
"wedding cake"	0.0506785
panhandler	0.0499852
glam	0.0496516
figurine	0.0494874
hedgehog	0.0493567
raindrop	0.0492326
Bumblebee	0.0490909
serpent	0.0488452
pompom	0.0485022
"Confederate soldier"	0.0484761
flamingo	0.0481713
squirrel	0.0480136
"Mona Lisa"	0.0479953
rhinestone	0.047966
chandelier	0.0478379
bedspread	0.047638
Buddha	0.0468878
carnation	0.0467959
vase	0.0465745
alcove	0.0464869
porthole	0.046322
snowflake	0.0459164
"side chair"	0.0458813
monogram	0.0455858
typeface	0.0452732
Smiley	0.0451352
"holy man"	0.0450804
"teddy bear"	0.044724
braid	0.0446157
airball	0.0445729
acorn	0.0445542
biosphere	0.0444733
oxen	0.0440274
raccoon	0.0439612
teacup	0.0437065
balustrade	0.0434885
corkscrew	0.0434766
"love seat"	0.0433585
candlestick	0.042935
pixie	0.0427941
"picture frame"	0.0426857
"Marina Anissina"	0.04257
"fishing rod"	0.0421415
inquisitor	0.0419614
derriere	0.0418718
possum	0.0418509
Lenin	0.0415537
songbird	0.0415048
GMA	0.0414301
"pipe organ"	0.0412421
critter	0.0412332
reindeer	0.0412103
"space capsule"	0.0411389
"boxing glove"	0.0407984
tress	0.0407148
do-it-yourselfers	0.0407017
Santas	0.0405022
grinning	0.0405012
Dumpsters	0.0404548
zeppelin	0.0404343
poodle	0.0404079
"Last Supper"	0.0402141
"shipwreck survivor"	0.0401077
comforter	0.0400296
))
(chervil (desc 2882.58) (sims
tarragon	0.453898
dill	0.374064
oregano	0.373495
thyme	0.370575
chive	0.346567
parsley	0.342053
marjoram	0.339335
Basil	0.310771
cilantro	0.299451
mint	0.27229
rosemary	0.264371
coriander	0.24326
scallion	0.24142
"lemon zest"	0.240759
"green onion"	0.224406
watercress	0.223654
"bay leaf"	0.216036
shallot	0.214556
arugula	0.210377
Sage	0.203345
"lemon juice"	0.202758
Garlic	0.197696
fennel	0.183015
"red onion"	0.180614
celery	0.173341
"pine nut"	0.166157
"orange zest"	0.156525
onion	0.152768
mustard	0.152636
horseradish	0.152561
cumin	0.150827
caper	0.150461
pepper	0.142267
vinegar	0.142244
cayenne	0.139041
"black olive"	0.138114
Sorrel	0.135203
chilies	0.134497
"green pepper"	0.133337
savory	0.13235
"lime juice"	0.132345
ginger	0.131186
leek	0.131093
anchovy	0.127821
"lemon peel"	0.126923
"black pepper"	0.12677
"red pepper"	0.12638
olive	0.126101
spinach	0.125137
"bell pepper"	0.123965
"olive oil"	0.123019
flake	0.122723
Parmesan	0.120243
lemongrass	0.119884
"grated cheese"	0.119717
jalapeno	0.118799
peppercorn	0.117272
"garlic clove"	0.11653
salt	0.114709
ricotta	0.114657
lime	0.114647
chiles	0.113808
"sour cream"	0.112771
lettuce	0.112114
tomato	0.11157
chard	0.111511
cucumber	0.10939
"Swiss chard"	0.108865
Kale	0.108094
herb	0.107232
lemon	0.106733
breadcrumb	0.105471
walnut	0.105262
"macadamia nut"	0.103623
turmeric	0.103465
romaine	0.103338
"cherry tomato"	0.103185
"chili pepper"	0.102283
"shiitake mushroom"	0.101457
"green olive"	0.10134
"wine vinegar"	0.100786
clove	0.10026
"chili powder"	0.100145
chanterelle	0.0983122
paprika	0.0978338
almond	0.0976743
verbena	0.097509
sprig	0.0966316
"fennel seed"	0.0958829
"hot pepper"	0.0945215
"bean sprout"	0.0943596
"coconut milk"	0.0943342
pecan	0.0940646
cinnamon	0.0926666
saffron	0.0926357
tomatillo	0.0924152
allspice	0.0919227
cabbage	0.0908491
currant	0.0898201
peppermint	0.0893925
asparagus	0.0886973
"garlic salt"	0.088399
Endive	0.0880728
"Worcestershire sauce"	0.0866896
carrot	0.0862332
"cumin seed"	0.0851064
mozzarella	0.0849724
"blue cheese"	0.0849262
chutney	0.084747
crumb	0.084307
sherry	0.0837446
"peanut oil"	0.0837104
Garnish	0.0816115
"water chestnut"	0.0804857
Broccoli	0.0804498
"romaine lettuce"	0.0798461
"bamboo shoot"	0.079691
"beef broth"	0.0782824
nutmeg	0.0779076
"white wine"	0.0774139
"pumpkin seed"	0.0771487
pea	0.07713
frisee	0.0770718
pistachio	0.0769659
"sesame seed"	0.0768373
artichoke	0.0768071
prosciutto	0.0760086
"orange peel"	0.075972
FETA	0.0756407
"tomato paste"	0.0746699
"salad greens"	0.0745225
"seasoned salt"	0.0744288
pimento	0.0739489
zucchini	0.0737971
RHUBARB	0.0737041
"heavy cream"	0.0734352
hazelnut	0.0734306
"whipping cream"	0.0730871
avocado	0.0723418
"snow pea"	0.0718873
"pineapple juice"	0.0717848
butter	0.0711409
mesclun	0.0705563
powder	0.0693597
"soy sauce"	0.0688052
wasabi	0.0683963
"cayenne pepper"	0.0682164
bacon	0.0678378
"black bean"	0.0678241
"red bell pepper"	0.0671587
frond	0.0671308
cantaloupe	0.0667754
cashew	0.0661956
pesto	0.0660515
radish	0.065778
seasoning	0.0656387
vinaigrette	0.0655703
"chicken broth"	0.0647853
"mustard seed"	0.0645848
"iceberg lettuce"	0.0645145
chevre	0.0640911
buttermilk	0.063642
coconut	0.0636158
"hard-boiled egg"	0.0635084
beet	0.063051
Milkweed	0.0628638
"fava bean"	0.0627115
mayonnaise	0.062129
cider	0.0620365
raisin	0.0618335
"chicken stock"	0.0614294
Chili	0.0612781
"orange juice"	0.0611699
"plum tomato"	0.061102
lavender	0.0609109
"star anise"	0.0602355
boxwood	0.0600681
pineapple	0.0599132
honey	0.0596047
citrus	0.0586651
eggplant	0.058344
Chipotle	0.0582197
"raw vegetable"	0.0581105
salami	0.0579223
bulgur	0.0571846
mango	0.056588
"brown sugar"	0.0565275
"green bean"	0.0553365
sauerkraut	0.05515
"lima bean"	0.0548802
puree	0.0547913
morel	0.0537154
anise	0.053582
raspberry	0.0535715
kernel	0.0535008
zest	0.0534956
cornstarch	0.0533785
linguine	0.0532616
blueberry	0.0531806
okra	0.0530077
))
(Cheryl (desc 2184.77) (sims
Eileen	0.225967
Kristin	0.171557
Millie	0.163971
alicia	0.15613
Brenda	0.149289
Beth	0.147405
Pam	0.147087
Theresa	0.146967
Sheryl	0.146016
Jacqueline	0.145951
Beverly	0.144211
Olga	0.143997
Margaret	0.143876
Lynne	0.143018
"Azizah Ismail"	0.142667
Patricia	0.142615
Marian	0.138182
JoAnne	0.137557
ANN	0.135508
Phyllis	0.135425
Suzanne	0.135324
Debbie	0.134573
Doris	0.134068
Juanita	0.133984
Sonia	0.133623
Janice	0.133194
Deborah	0.132804
Edith	0.130016
Cherie	0.129311
Lois	0.129076
Cindy	0.128846
Kathy	0.128831
Irina	0.12868
Josephine	0.127002
Terri	0.126218
Kathleen	0.125516
Evelyn	0.124856
Diane	0.124136
Stephanie	0.123277
Valerie	0.123046
Susan	0.121589
Christine	0.120776
Dorothy	0.120682
Lori	0.12056
Hadassah	0.119117
Maureen	0.119003
Pauline	0.11837
Debra	0.118137
Michele	0.118003
Kimberly	0.117946
Monique	0.117611
Carolyn	0.117355
Betsy	0.117207
Leah	0.116728
Connie	0.11602
colleen	0.115581
Frances	0.115355
Kathryn	0.115269
Vicki	0.115069
Judy	0.114796
Tina	0.113685
Meg	0.11279
Tracey	0.112785
Sylvia	0.112445
Lydia	0.112348
Camille	0.112258
Denise	0.11214
Miriam	0.111914
Shirley	0.111703
Dolores	0.111683
Barbara	0.111378
Cathy	0.110929
Sandra	0.110111
Audrey	0.110023
Melinda	0.108972
Claudia	0.108821
Liz	0.107829
Nancy	0.10728
Marlene	0.107101
Helen	0.106296
Annie	0.106021
Dana	0.105282
Peggy	0.105161
Elaine	0.105156
Polly	0.105155
hazel	0.105144
Janet	0.10505
Gina	0.104438
Ellen	0.104373
Eleanor	0.104029
Caroline	0.1035
Louise	0.102643
Jill	0.10257
Marta	0.102378
Karen	0.102337
Bianca	0.101955
Alexandra	0.101459
"Graca Machel"	0.101111
Nicole	0.100991
Patti	0.0997944
Tipper	0.099688
Carol	0.099572
Lisa	0.0990842
Teresa	0.0981206
Olivia	0.0970763
"Wang Yeping"	0.0967926
Laura	0.0965677
Linda	0.0965594
Lucia	0.0959846
Donna	0.0958313
gloria	0.0956585
Erica	0.0956305
Natalie	0.0953832
Julie	0.0951735
Rebecca	0.0951623
Anita	0.0950224
Sara	0.0943492
Nina	0.0941754
Roberta	0.0941
Esther	0.0940803
Naomi	0.0933406
Brooke	0.0932967
Judith	0.0920236
Marilyn	0.0916296
Marcia	0.0915832
Sophie	0.0914231
Melissa	0.0902974
Emma	0.0893788
Jessie	0.089237
Nora	0.0880272
Emily	0.0880078
Elena	0.0873352
Karenna	0.0872714
Andrea	0.0867755
Clara	0.0866934
Anne	0.0866121
Rita	0.0861748
Kate	0.0860678
Winnie	0.0858395
Michelle	0.0855405
Marie	0.0850832
Katherine	0.0850438
Vanessa	0.0850181
Sally	0.0848
Maria	0.0846501
anna	0.0845927
Betty	0.0845362
Vera	0.0840609
"Carolyn Bessette Kennedy"	0.0839489
Marianne	0.0828575
Agnes	0.0827176
Beatrice	0.0826244
"Karenna Gore Schiff"	0.0821755
Julia	0.0819494
Amy	0.0813693
Stacy	0.0811897
Christina	0.0811338
sandy	0.0809323
Lyn	0.0804198
Sarah	0.0799736
Shannon	0.0798789
Wanda	0.0795513
Annette	0.0792224
Angela	0.0790306
Paula	0.0788429
Sheila	0.0787206
Natasha	0.078448
Norma	0.0782026
Madeleine	0.0781765
Renee	0.0775935
Jennifer	0.0774738
Samantha	0.0768493
Rachel	0.0767365
Lucy	0.0765202
Rhonda	0.076458
Catherine	0.0760182
Robin	0.075798
Marion	0.0755116
Alison	0.075302
Marge	0.0748795
becky	0.0747485
"Jane Fonda"	0.0735912
heather	0.0735599
Jeanne	0.0734746
Jane	0.0732953
Melanie	0.0730374
Cynthia	0.0730054
Heidi	0.0727376
Jackie	0.0725074
Katie	0.0724932
Ethel	0.0724395
Jenny	0.0723426
Lucille	0.0722753
Lorraine	0.0720268
Jessica	0.0718648
Thelma	0.0714388
Gail	0.0713734
Alice	0.071233
Paulina	0.0707942
Jamie	0.0705798
))
(Chesapeake (desc 1751.76) (sims
Reston	0.101957
Langley	0.093679
"Fairfax County"	0.0895006
Petersburg	0.0885198
Herndon	0.0849795
Fredericksburg	0.0766117
Dulles	0.076572
Amazonian	0.0743367
Fairfax	0.0702408
"Cape Fear"	0.0699987
"Fort Lee"	0.069791
Lynchburg	0.06965
Stockbridge	0.0666713
"Virginia Beach"	0.0666316
"Chesapeake Bay"	0.066494
Roanoke	0.0664609
"Newport Beach"	0.0656492
Catskill	0.0648752
Mekong	0.0642322
Williamsburg	0.0641089
Blacksburg	0.0636958
"Silver Spring"	0.0596985
Danville	0.0595434
Braintree	0.05935
Jamestown	0.0583737
McLean	0.0583265
"Western Pacific"	0.0566811
Lexington	0.0562438
Woodbridge	0.056049
Stafford	0.0557433
Winchester	0.0557267
Hillsboro	0.0555233
"Big Sur"	0.0549129
Morristown	0.0545418
Smithfield	0.0544575
Ashland	0.05434
"San Pedro"	0.0541821
"Fort Worth-Dallas"	0.0531915
Pacoima	0.0527264
"Thousand Oaks"	0.0525381
Martinsville	0.052485
"Rio Grande"	0.0521979
Torrance	0.0520039
Clifton	0.0517526
Rhine	0.0514688
Palmdale	0.0514337
"Central Asian"	0.0513507
Caprivi	0.0512398
Stratford	0.0510386
Chesterfield	0.0506959
Gisenyi	0.0505099
Gainesville	0.0502726
Macon	0.0496264
"Niger Delta"	0.0492422
"Mount Lebanon"	0.0491201
"South Boston"	0.0489856
"New Rochelle"	0.0486094
biomass	0.0482468
"Westlake Village"	0.0481031
Piedmont	0.0480492
Deerfield	0.0480312
Euphrates	0.0477183
Bethesda	0.0476221
"Mount Vernon"	0.0474699
Marietta	0.0473375
"five key"	0.0471269
Rhone	0.0470481
"Crystal City"	0.0469974
Murmansk	0.0469872
"Round Rock"	0.0467888
Yorktown	0.0466619
Potomac	0.0466076
"Van Nuys"	0.0464918
Encino	0.0464587
Avondale	0.0464218
Decani	0.0462872
Decatur	0.045653
Lijiang	0.045611
"White Plains"	0.0449661
"Colorado River"	0.0449508
Odessa	0.0448499
"Mill Valley"	0.0447546
"Hill Country"	0.0445391
Falmouth	0.0440939
"Puget Sound"	0.0440886
"national capital"	0.0440607
Chatham	0.043936
Reseda	0.043895
"Rocky Mount"	0.0438614
Lancaster	0.0438314
"Shah Alam"	0.0436911
Prijedor	0.0436011
Medford	0.0435119
ASHEVILLE	0.0433837
"El Segundo"	0.0433229
"California wine"	0.0432959
VEBA	0.0432705
"Marin County"	0.0431947
Bridgewater	0.0429823
"Mekong River"	0.0428094
Alpharetta	0.0426581
Drenica	0.0426066
Heidelberg	0.0421353
"Far Eastern"	0.0418719
Tahoe	0.0412595
Marjayoun	0.0412187
Pittsfield	0.041208
Kagera	0.0411723
"Taihu Lake"	0.0411568
Monterey	0.0411518
cm	0.0411205
Qomolangma	0.0410447
Norcross	0.0406688
"Baltic Sea"	0.0406311
"North Caucasus"	0.0406283
"Lake Placid"	0.0406275
Brentwood	0.0405442
"Beibu Gulf"	0.0404096
Belacevac	0.0403834
"Golden Triangle"	0.0403586
Wilmington	0.0403501
riverside	0.0402529
"Myrtle Beach"	0.0400827
))
("Chesapeake Bay" (desc 3357.3) (sims
"Lake Ontario"	0.127561
Tigris	0.10499
"San Francisco Bay"	0.10457
Chattahoochee	0.0969718
"Dead Sea"	0.0953168
"Long Island Sound"	0.0896627
"Bay of Bengal"	0.0891675
Seine	0.0882034
Rhine	0.0881085
Euphrates	0.0839911
"Mississippi River"	0.081651
"Potomac River"	0.0787124
"Lake Erie"	0.0777024
"New York Harbor"	0.0770171
Potomac	0.0758889
"Mekong River"	0.0751797
"Connecticut River"	0.0746848
Danube	0.0742586
"Manila Bay"	0.072887
"Pearl River"	0.0723286
"Lake Michigan"	0.0714593
"Hudson River"	0.0705669
"Rocky Mountain"	0.0695976
"Lake Victoria"	0.0692747
Nile	0.0680566
"Indian Ocean"	0.0674764
"Tennessee Valley"	0.0674632
"Bohai Bay"	0.0671536
"Yellow Sea"	0.0665139
Chesapeake	0.066494
"Baltic Sea"	0.0664789
"Nile River"	0.0662955
Yangtze	0.0660104
"Arctic Ocean"	0.0657306
"Columbia River"	0.0654857
"Huangpu River"	0.0654094
"Jordan River"	0.064719
Adriatic	0.0638477
"Rio Grande"	0.0636577
"Cape Cod"	0.0628913
Hudson	0.0622547
Amazonian	0.0619466
estuary	0.0618785
"Bohai Sea"	0.0603759
"Colorado River"	0.0598445
Galilee	0.0595601
"Congo River"	0.059249
"Puget Sound"	0.059065
Everglades	0.0588345
"Black Sea"	0.0586242
"Delaware River"	0.0580138
Nenjiang	0.057592
Caspian	0.0571361
"Great Lakes"	0.056639
"Grand Canyon"	0.0563323
"Yellow River"	0.0558416
"Mediterranean Sea"	0.0551852
"Danube River"	0.0550767
"Huaihe River"	0.0549925
"Gulf of Mexico"	0.0546073
Ganges	0.0540966
"Haihe River"	0.0538477
"South China Sea"	0.0537617
Mediterranean	0.0536524
"Ohio River"	0.0536476
"South Pacific"	0.0532734
Himalayas	0.0528235
"Atlantic Ocean"	0.0527744
Catskill	0.052505
"North Sea"	0.0524315
"Panama Canal"	0.0522492
"Yangtze River"	0.0520102
Rhone	0.0515987
"Lake Tahoe"	0.0515152
"Rocky Mountains"	0.0510819
"coral reef"	0.0508137
Mekong	0.0507508
"Western Pacific"	0.0498766
"East River"	0.0496069
"Mississippi Delta"	0.0493539
"Aegean Sea"	0.0492564
lagoon	0.0492302
"Caribbean Sea"	0.0486452
Arctic	0.0484689
"Pacific Ocean"	0.0481369
"New Brunswick"	0.0475887
"Hudson Valley"	0.047282
"Persian Gulf"	0.0471553
Huaihe	0.0471358
"Red River"	0.0469825
"Caspian Sea"	0.0467548
"English Channel"	0.0466577
"Gulf Coast"	0.0451762
"Suez Canal"	0.0444316
"Cape Fear"	0.0443454
"Songhua River"	0.0442798
"Florida Everglades"	0.0441973
"sea lane"	0.0441789
VFA	0.0434418
"Lake Okeechobee"	0.0426302
"Hong Kong Island"	0.0423153
"South Atlantic"	0.0420421
"Qaidam Basin"	0.0418926
Tahoe	0.0416886
Greenland	0.0415661
extremity	0.0412722
sawgrass	0.0411153
"Taihu Lake"	0.0410569
"Red Sea"	0.04102
Aegean	0.0408717
"coastal plain"	0.0403899
Baltic	0.0403624
"Victoria Harbor"	0.0402738
"Taklimakan Desert"	0.0402436
"Quintana Roo"	0.0401717
))
(Cheshire (desc 1527.84) (sims
Waterbury	0.125377
Waterford	0.119049
Groton	0.111302
Hampshire	0.110274
Trumbull	0.106746
Yorkshire	0.10488
Salisbury	0.099395
Cornwall	0.0975362
Middlebury	0.0945632
Farmington	0.0933809
Bloomfield	0.0901917
Essex	0.0901133
Kettering	0.0889599
Wallingford	0.0876855
Danbury	0.0845863
Darien	0.0838158
Norwich	0.0828248
Stratford	0.0822022
Crewe	0.0807842
Sussex	0.0807395
Easton	0.0783476
Peterborough	0.0775573
"New London"	0.0767554
Storrs	0.0755387
Matamoros	0.0754751
bethel	0.0747126
lakeside	0.0739413
Wilton	0.0731044
Windsor	0.0722896
Chester	0.0718778
Bridgewater	0.0706659
Watertown	0.0705494
Bridgeport	0.0700667
"Fairfield County"	0.0693855
Greenwich	0.069373
Norwalk	0.0693192
Middlesex	0.0692152
Middletown	0.068318
Stansted	0.0662976
Stamford	0.0658687
Palmdale	0.065655
"New Canaan"	0.0655315
Somerset	0.0655092
"Paul Johnson"	0.0645581
Dearborn	0.0630744
Garfield	0.0627701
Surrey	0.0626265
riverside	0.0624702
Woodbridge	0.0624117
Walpole	0.0623517
Lenexa	0.0618893
Lyme	0.0612239
Pancevo	0.0611035
Exeter	0.0608688
Milford	0.0584048
"Howdy Doody"	0.0578874
"black cat"	0.0569761
Westport	0.0564702
Roxbury	0.0564539
Westbrook	0.0559296
Nottingham	0.0559248
Izmit	0.0558203
Novosibirsk	0.0556962
Canterbury	0.0554035
"Law Lords"	0.053804
Eastbourne	0.0535423
beachfront	0.0533087
Devon	0.0531139
Redding	0.0529897
Blackpool	0.0522945
Waterville	0.0522821
Basra	0.0520133
"Lake Worth"	0.0517151
Camarillo	0.0516274
Marlborough	0.0511763
Ipswich	0.0509804
Lansing	0.0509059
"West Ham United"	0.0508443
Vallejo	0.0504014
Seymour	0.0503173
"Ocean City"	0.0498442
Suffolk	0.0495482
Fairfield	0.0492292
"East Bay"	0.0492159
Pattaya	0.0491517
Decatur	0.0491483
beachside	0.0491448
Winchester	0.0487603
Berkshire	0.0485506
Vilnius	0.04764
Aden	0.0476051
"Cherry Hill"	0.047379
Bellingham	0.047329
Vernon	0.0466208
"Mount Lebanon"	0.0465954
Sausalito	0.0465664
Laramie	0.0464207
Shawnee	0.0463858
"Saratoga Springs"	0.0461097
"Gwinnett County"	0.0460742
Northampton	0.0457689
Silverstone	0.0456444
"rooming house"	0.0456252
Miami-Dade	0.045602
"Grand Prairie"	0.0453156
Cha	0.0452139
Warwick	0.0452054
BRIGHTON	0.0452051
"East Orange"	0.044808
"Oak Ridge"	0.0446622
"Central Jakarta"	0.0445876
"Essex County"	0.0439033
Olathe	0.0437594
Edison	0.0429974
Plano	0.0428644
Westlake	0.0426697
Plymouth	0.0425857
Hillsboro	0.0423239
Cornish	0.0419474
thana	0.0419439
Bengal	0.0414433
"Novi Sad"	0.0413997
Savoy	0.0410322
Nagasaki	0.0406084
"Union City"	0.0403803
Falmouth	0.040341
))
(chess (desc 11183.1) (sims
"table tennis"	0.15021
"water polo"	0.139253
volleyball	0.137018
softball	0.134818
badminton	0.130714
Gymnastics	0.125327
"ice hockey"	0.116868
snooker	0.111412
golf	0.110772
archery	0.110709
ping-pong	0.110375
Rugby	0.110337
tennis	0.108815
cycling	0.108683
karate	0.108055
billiards	0.106295
"field hockey"	0.10485
judo	0.104397
handball	0.103954
weightlifting	0.102465
taekwondo	0.102054
"figure skating"	0.101302
boxing	0.101287
wrestling	0.100801
hockey	0.0980277
lacrosse	0.0978342
soccer	0.0953376
"track and field"	0.094017
pentathlon	0.0935558
basketball	0.0930361
rowing	0.0925168
"professional basketball"	0.0905048
cricket	0.0889456
"Fed Cup"	0.0885746
fide	0.0864719
poker	0.08518
bodybuilding	0.084929
Wushu	0.0847736
solitaire	0.0844063
swimming	0.0818732
football	0.0798688
croquet	0.0790078
triathlon	0.0789656
Bowling	0.0789625
Skating	0.0781124
Polo	0.0780891
"professional baseball"	0.0776438
skiing	0.076366
"martial art"	0.0762624
squash	0.0755391
athletics	0.0747276
takraw	0.0746031
"chess game"	0.0739695
Scrabble	0.0730315
diving	0.0727341
fencing	0.072248
"professional football"	0.072203
"professional golf"	0.0706781
checker	0.0705331
domino	0.0692655
gotcha	0.0668757
"horse racing"	0.0668436
under-@@	0.066534
"ballroom dancing"	0.0658825
"card game"	0.0657386
sumo	0.0656892
"Little League World Series"	0.0651931
"Pan Ams"	0.0648855
"Gold Cup"	0.0647115
blackjack	0.0646191
"Southwest Conference"	0.0642826
"musical chair"	0.0640161
Frisbee	0.0640103
surfing	0.0637552
"little league"	0.0633683
yo-yo	0.0631745
"water sport"	0.0622186
"match play"	0.061978
pinball	0.0618321
cruiserweight	0.0616883
EuroLeague	0.0614141
skeet	0.0611308
"College World Series"	0.0610025
"U.S. Amateur"	0.0606627
"United States Open"	0.0606623
Bingo	0.0606368
gardening	0.059764
"mountain climbing"	0.0595091
"AFC West"	0.0592926
"NFC East"	0.0592216
"junior lightweight"	0.0591988
roulette	0.0590658
"horseback riding"	0.0587408
"American football"	0.058296
"junior middleweight"	0.0580274
"classical music"	0.0579855
karaoke	0.0578341
"country music"	0.0576871
"Division I-AA"	0.057166
"NFC West"	0.0570088
"Davis Cup"	0.0568502
yoga	0.0567504
aerobics	0.0567039
violin	0.0564794
netball	0.0562044
"junior welterweight"	0.0556895
math	0.0555842
flyweight	0.0554737
photography	0.0554417
"AFC East"	0.0553785
"Atlantic Coast Conference"	0.0553351
"League Cup"	0.0551826
Racing	0.0547307
"Big West"	0.054602
"Conference USA"	0.0544325
"Federation Cup"	0.0543604
Yachting	0.0538077
"U.S. Senior Open"	0.0536961
"Hopman Cup"	0.0529797
golfing	0.0529787
fishing	0.0525204
"jigsaw puzzle"	0.0522598
"NL Central"	0.0520685
"AL Central"	0.0520462
"Pan Pacific"	0.051993
hoop	0.051554
origami	0.0513798
"Dunhill Cup"	0.0513167
hardball	0.0511815
"cross country"	0.051077
"Funny Car"	0.0510395
"Big Sky Conference"	0.0508168
"scuba diving"	0.0505416
"Big Sky"	0.0503908
seesaw	0.0502224
martial-arts	0.0501124
"European Cup"	0.0500792
bantamweight	0.0500008
"US Open"	0.0497029
"ice skating"	0.0495894
"light heavyweight"	0.0494626
Jazz	0.0492774
"American League West"	0.0492234
"musical performance"	0.0489784
opera	0.0489409
WCC	0.0487853
men's	0.0487298
"Central Division"	0.0485904
"Solheim Cup"	0.0485119
fly-fishing	0.0482399
dancing	0.0480905
"AL West"	0.0480761
brinkmanship	0.0479563
"Big East"	0.0478801
"AL East"	0.0476993
decathlon	0.0476858
"Sudirman Cup"	0.0475026
Scrooge	0.0474701
Qigong	0.0473892
"basketball game"	0.0473383
slam-dunk	0.0468344
AFL	0.0467469
"basketball league"	0.0466535
Heptathlon	0.0466501
"National Collegiate Athletic Association"	0.0465296
"pole vault"	0.0464661
boating	0.0464615
"computer game"	0.0463534
ACC	0.0462842
acrobatics	0.0462227
"Top Fuel"	0.0462045
hardcourt	0.0459912
"shot put"	0.0458317
"Asian Cup"	0.0457496
ml	0.0457433
NHRA	0.0456044
Pacific-@@	0.0453709
"FA Cup"	0.0453492
Bundesliga	0.044995
"NFC Central"	0.0449521
luge	0.044915
"Big @@"	0.044859
"Copa America"	0.0448503
"board game"	0.0447744
"chess player"	0.0447139
calligraphy	0.0445873
ATP	0.0445534
"Spinal Tap"	0.0444082
"Southeastern Conference"	0.0443954
"fine art"	0.044194
CONCACAF	0.0439043
animation	0.0437887
"shell game"	0.0437823
literature	0.0436639
Maurier	0.0435575
bullfighting	0.0434714
"rock climbing"	0.0433307
mathematics	0.0432483
"World Boxing Council"	0.0432414
WNBA	0.043081
))
("chess game" (desc 2342.25) (sims
"shell game"	0.132025
"numbers game"	0.11252
"waiting game"	0.0894476
"guessing game"	0.0863668
copout	0.0843084
"popularity contest"	0.0842125
no-brainer	0.0807773
"hot potato"	0.0801505
crapshoot	0.0781996
chess	0.0739695
"poker game"	0.0729371
"point system"	0.0715491
"cookie jar"	0.0711378
"ball game"	0.0695326
"game of chance"	0.0656287
nonevent	0.0647988
tightrope	0.0645465
"standard operating procedure"	0.0642808
seesaw	0.0630214
slugfest	0.0622851
"second tour"	0.0620241
whiner	0.0617302
"trump card"	0.0601934
"gefilte fish"	0.0599935
lovefest	0.0599665
"white elephant"	0.0598182
stagecraft	0.0592955
ballgame	0.0588869
calculus	0.0588638
foretaste	0.0581178
"piece of work"	0.0576544
tug-of-war	0.0576434
cakewalk	0.0560451
Minuet	0.05545
misperception	0.0547192
horse-trading	0.0545916
Beehive	0.0544836
burlesque	0.054476
"jigsaw puzzle"	0.0542657
dogfight	0.054157
desperado	0.0541387
"smoke screen"	0.0537921
charade	0.0534851
trickery	0.0534375
tossup	0.0530134
"voting machine"	0.0529923
pleaser	0.0528598
"musical chair"	0.0528459
"police state"	0.0526006
"pain in the neck"	0.0525498
"trial balloon"	0.0522951
Truism	0.0521759
"piece of music"	0.052016
free-for-all	0.0514629
"social contract"	0.0510902
"guardian angel"	0.0508953
"sour grapes"	0.0508926
"board game"	0.0508265
Catch-@@	0.050432
nonstarter	0.0501222
circuitry	0.0498797
tradeoff	0.0494451
dynamics	0.0494208
"scoring system"	0.0491269
canard	0.0487763
"round of golf"	0.0485999
comedown	0.0485855
gadgetry	0.0483804
"clock radio"	0.0483786
gibberish	0.0483682
"God's Will"	0.0483182
shakeup	0.0482371
prank	0.0481086
"hole in the ground"	0.047913
non-issue	0.0477015
geopolitics	0.0473884
"practical joke"	0.0473019
Grinch	0.0471572
smooch	0.0470841
"credit bureau"	0.0470136
bombshell	0.0469908
"social event"	0.0467773
expedient	0.0467416
"femme fatale"	0.0466752
oxymoron	0.0466356
"card game"	0.0465796
brinksmanship	0.0462807
"measuring stick"	0.0462414
semantics	0.0461884
quandary	0.0458916
crock	0.0457106
"tit for tat"	0.0456966
lynching	0.0456488
crap	0.0453569
"birthday present"	0.0452082
storyline	0.0451563
chessboard	0.0450938
stratagem	0.0448475
"state of affairs"	0.044835
hardball	0.044484
"quid pro quo"	0.0442767
endgame	0.0441263
give-and-take	0.0440518
heresy	0.0438612
legalism	0.0437795
conundrum	0.0436716
portent	0.0435182
comeuppance	0.0433278
crowd-pleaser	0.0433141
craziness	0.0432184
gist	0.043212
sinkhole	0.0431241
hunch	0.0430693
gotcha	0.0430453
whammy	0.0428906
"modus operandi"	0.0428427
nonentity	0.0428249
"pas de deux"	0.0428159
cudgel	0.0427688
whodunit	0.042758
letdown	0.0427397
"picture book"	0.0425648
"communications network"	0.0425401
savagery	0.0425198
shocker	0.0424775
equation	0.0424475
"landscape painting"	0.0424389
supplicant	0.0422011
"police sergeant"	0.0420268
"traffic cop"	0.0419107
netherworld	0.041909
Jukebox	0.0418926
absurdity	0.0417242
"hot issue"	0.041701
lark	0.0416904
arithmetic	0.0414496
make-believe	0.0412434
"fire drill"	0.0412263
toaster	0.0411419
"house of cards"	0.0410542
"unfinished business"	0.0409826
"basketball game"	0.0408616
leitmotif	0.040823
"sleight of hand"	0.0406651
"parlor game"	0.0406015
scaffold	0.0405979
"dance music"	0.0405785
quagmire	0.0405702
catharsis	0.0404314
"wishful thinking"	0.0403998
readout	0.0402721
radicalism	0.040268
"good story"	0.0401636
silliness	0.0400938
"morality play"	0.0400837
melodrama	0.0400253
ambiguity	0.0400177
farce	0.0400102
))
("chess player" (desc 2342.02) (sims
vaulter	0.15302
"tennis player"	0.132001
marathoner	0.125216
hurdler	0.116772
"volleyball player"	0.116702
cager	0.114037
achiever	0.112202
"mountain climber"	0.104396
bodybuilder	0.104077
"ballet dancer"	0.102585
"hockey player"	0.101915
paddler	0.101197
cellist	0.100674
shuttlers	0.0988981
grandmaster	0.0960425
violinist	0.0945858
goal-scorer	0.0934708
miler	0.0933915
cricketer	0.0927238
weightlifter	0.0923535
rebounders	0.0922974
gymnast	0.0903799
singer-songwriters	0.0899645
skater	0.0890522
speller	0.0889874
bullfighter	0.0885935
Taufik	0.0882608
footballer	0.0874878
sprinter	0.0868389
"important person"	0.0863645
golfer	0.0848357
triathletes	0.0843971
"pole vaulter"	0.0841888
lifter	0.0840059
bowler	0.0837468
"belly dancer"	0.0836905
racer	0.0836529
pianist	0.0831036
cyclist	0.0829335
"race horse"	0.0827383
"basketball player"	0.0822334
QBs	0.0819066
clarinetist	0.0817381
"second person"	0.0816899
spikers	0.0816149
"first pitcher"	0.0813843
illiterate	0.0813416
educationist	0.0800916
"pass catcher"	0.0800593
"fashion model"	0.0799633
skier	0.0790313
fencer	0.0789749
Intimidator	0.0789511
swimmer	0.078657
communicator	0.0775351
thrower	0.0773655
"bird watcher"	0.0765975
"news event"	0.0765865
Sportsman	0.0758264
"track star"	0.0746912
"basketball league"	0.0745229
"opera star"	0.0744899
diver	0.0742815
goalscorer	0.0739982
"character actor"	0.0739473
"bicycle race"	0.0735857
orator	0.073374
third-largest	0.0729254
climber	0.0719552
talker	0.0714884
"long-distance runner"	0.0709936
battler	0.0707358
cabinetmaker	0.0706547
batsman	0.0706159
stuntman	0.0701024
rower	0.07004
genealogist	0.0699486
polluter	0.0698572
"foreign service officer"	0.0693332
shipbuilder	0.0687857
instrumentalist	0.0686542
sailor	0.0686293
"NBA All-Star"	0.0685704
businesswomen	0.0683601
whiner	0.068268
"three pitchers"	0.0681073
welterweight	0.0679554
triathlete	0.0678314
newspaperman	0.067742
tactician	0.0676535
"Deng Yaping"	0.067431
dealmaker	0.0673241
picker	0.0668278
"interior decorator"	0.0658165
earthling	0.0657236
vocalist	0.0655137
"hockey coach"	0.0654954
lightweight	0.0653705
heavyweight	0.065351
goaltender	0.0650088
"major-league team"	0.0649295
wordsmith	0.064857
"beer drinker"	0.0643158
sculptor	0.0638498
"insurance broker"	0.0637347
paraplegic	0.0634993
student-athletes	0.0631847
"jazz musician"	0.0631443
snowboarder	0.0630248
racehorse	0.0629713
outdoorsman	0.0629486
"Asa Carlsson"	0.0628495
agnostic	0.0628034
ballplayer	0.0626998
craftsman	0.0623437
skiiers	0.0623413
"Mia Audina"	0.0620848
"suspension bridge"	0.0618626
skateboarder	0.0618616
drummer	0.0617903
wrestler	0.0616801
internationals	0.0615356
"sports fan"	0.0613356
"left-handed pitcher"	0.0612857
"toy retailer"	0.0612612
toymaker	0.0610963
bloomer	0.0610288
"test-tube baby"	0.0609783
cartoonist	0.060914
animator	0.060782
derriere	0.0606664
lexicographer	0.0604381
"battering ram"	0.0603277
"guitar player"	0.0601912
marketer	0.0601241
Litigator	0.0600302
supercomputer	0.0599871
"baseball player"	0.0599607
raconteur	0.0599302
metropolises	0.0598915
guitarist	0.0598842
Olympian	0.0598797
jogger	0.0598585
"Jansher Khan"	0.0597278
songwriter	0.0597253
stallion	0.0596503
"body of water"	0.0595861
manipulator	0.0594766
"trump card"	0.0594547
vote-getters	0.0594417
"landscape architect"	0.0594313
"Li Xuemei"	0.0591846
handicapper	0.0590722
"oil producer"	0.058925
entertainer	0.0589197
"Ge Fei"	0.0589162
"Peter Gade Christensen"	0.058679
passerby	0.0585512
doer	0.0585258
deejays	0.0584891
"shipping company"	0.058406
goaltenders	0.0583887
parachutist	0.0583744
"Jenny Chuasiriporn"	0.0583269
draftsman	0.0580217
Edberg	0.0579434
thinker	0.0578368
surfer	0.0577243
thoroughbred	0.0577203
passer	0.057589
innovator	0.0575433
debater	0.0574019
Kurd	0.0571891
"professional golfer"	0.0571406
puppeteer	0.0571321
motivator	0.0570303
"Chen Yan"	0.0570159
storyteller	0.0569572
exec	0.0568722
multinationals	0.0567493
capitalist	0.0567118
calligrapher	0.0566759
rushers	0.0566421
"test pilot"	0.0562367
"altar boy"	0.0560547
novelist	0.0560316
conductor	0.0559839
fourth-largest	0.055777
"Dai Yun"	0.0554883
biker	0.0554425
"African elephant"	0.0554416
switch-hitter	0.0552879
salesmen	0.0552459
sleuth	0.0551621
"Australian Mark Philippoussis"	0.0550784
puncher	0.0549675
"television star"	0.0549329
evangelist	0.0547043
"literary work"	0.0546335
"role player"	0.0545464
))
(chessboard (desc 1202.78) (sims
Beehive	0.0709707
"shell game"	0.0620134
crosscurrent	0.0618456
"shower stall"	0.0615642
stele	0.0607157
"blue whale"	0.0591859
bruiser	0.05797
sundial	0.0550379
"moving van"	0.0513998
becuase	0.0507661
crosswind	0.0503205
sarcophagus	0.0498977
"pirate ship"	0.0498423
mantelpiece	0.0495957
"mushroom cloud"	0.0495893
"Mount Rushmore"	0.04923
snowman	0.0487729
treehouse	0.0485949
"transport ship"	0.0485814
pinwheel	0.0485053
"coloring book"	0.0484794
gargoyle	0.047805
"telephone book"	0.047675
"fish tank"	0.047132
rosette	0.0470574
tarpon	0.046912
"wedding cake"	0.0468893
gridiron	0.0468501
"woman's body"	0.0466434
"digestive system"	0.0456337
quicksand	0.0455568
"jigsaw puzzle"	0.0451588
"chess game"	0.0450938
"man's body"	0.0450387
"chemical compound"	0.044984
"battle line"	0.0447911
grub	0.0446389
photocopier	0.0445168
moonscape	0.0442348
pontoon	0.0441675
bullfrog	0.0441263
Triptych	0.0435893
"numbers game"	0.0431492
"tape measure"	0.0429055
"torture chamber"	0.042876
spinnaker	0.0428379
"roulette wheel"	0.0426775
"engine failure"	0.0424944
"poker game"	0.0424292
"birthday cake"	0.0423856
soulmate	0.0422039
"accounting problem"	0.0421711
"radio telescope"	0.0420845
"video screen"	0.0420669
"hole in the ground"	0.0416897
sinkhole	0.0414459
crapshoot	0.0413287
"eight kilometers"	0.0411183
steamroller	0.0408441
"particle accelerator"	0.0407938
monolith	0.0406801
stagecraft	0.0404854
"sense of balance"	0.0404289
"silver dollar"	0.0403215
hacienda	0.0402377
seashell	0.0400693
))
(chest (desc 64154.8) (sims
abdomen	0.200094
neck	0.19074
stomach	0.165069
shoulder	0.164842
thigh	0.164306
forehead	0.149202
back	0.14662
forearm	0.136533
buttock	0.135356
wrist	0.134033
leg	0.132928
hip	0.124647
knee	0.124535
throat	0.123069
torso	0.119436
cheek	0.118723
pelvis	0.117437
arm	0.114867
lung	0.113667
breast	0.112901
head	0.112591
groin	0.11166
face	0.111307
waist	0.107637
belly	0.104653
nose	0.104513
elbow	0.10325
jaw	0.102885
ankle	0.102085
rib	0.101307
Chin	0.101093
mouth	0.0978081
ear	0.0966322
skull	0.093115
shin	0.0922154
spine	0.091775
"right hand"	0.0877107
brain	0.0853788
eye	0.0852692
biceps	0.0845556
body	0.083683
Foot	0.0836699
"rib cage"	0.0834014
heart	0.0833675
"left hand"	0.0833273
calf	0.0831502
hand	0.0820474
wall	0.0805603
toe	0.0805036
armpit	0.0791352
lip	0.0783452
"spinal cord"	0.0771116
finger	0.0758016
skin	0.0755792
scalp	0.0723468
tail	0.0697358
quadriceps	0.0691123
thumb	0.0685085
muscle	0.0681045
liver	0.0674474
side	0.0672958
intestine	0.0670442
lapel	0.0665195
eyelid	0.0660411
bone	0.065543
table	0.0642005
ceiling	0.0638307
collarbone	0.06376
hamstring	0.0637351
kidney	0.0634062
helmet	0.0627606
genital	0.0623026
desk	0.062295
wound	0.062098
tongue	0.0618299
fist	0.0615718
cheekbone	0.0612794
floor	0.0612694
limb	0.0608668
teeth	0.0597691
door	0.0592185
backside	0.0588456
bed	0.0586874
feet	0.0586827
glove	0.0579756
sleeve	0.0577309
colon	0.0574698
roof	0.0572548
nostril	0.05672
trunk	0.0564737
coffin	0.0561777
uterus	0.056077
chair	0.0559837
surface	0.0559766
bottom	0.055574
shirt	0.0555535
frame	0.0552732
rectum	0.0552202
butt	0.0551904
stick	0.0544741
"rear end"	0.0543926
canvas	0.0531328
box	0.0529812
heel	0.0528933
palm	0.0527887
ground	0.0527025
gut	0.0515751
glass	0.0513783
bag	0.0512884
hair	0.0510588
windshield	0.0510489
window	0.0507346
pocket	0.0504923
plate	0.0503816
shelf	0.0500629
tree	0.0500045
joint	0.0490414
pad	0.0487781
front	0.0486455
bruise	0.0483989
vertebrae	0.0483603
drawer	0.0482671
sofa	0.0481884
screen	0.0480278
fence	0.0479002
wallet	0.0478929
couch	0.0478669
shoe	0.0476673
ball	0.04735
injury	0.0471893
cuff	0.0470257
piece	0.0469945
bladder	0.0466279
collar	0.0462967
hat	0.0461992
"coffee table"	0.0458192
hole	0.0457762
concussion	0.0454489
belt	0.045275
"index finger"	0.0450113
pot	0.0448638
cornea	0.0446414
rope	0.0445184
upright	0.0445091
prostate	0.0444038
closet	0.0442248
locker	0.0441862
cupboard	0.0441427
Hood	0.0436447
bench	0.0436395
bookshelf	0.0436288
corner	0.0435901
"blood vessel"	0.0435337
tendon	0.0432213
earth	0.0431819
brow	0.0431228
nerve	0.043006
temple	0.0429127
refrigerator	0.0429067
claw	0.0427779
rim	0.0425872
scoreboard	0.0424574
dashboard	0.042268
suitcase	0.0422576
cavity	0.0421786
container	0.0421733
artery	0.0421679
podium	0.0418478
rear	0.0416235
pillow	0.0413545
seat	0.0413134
"black eye"	0.0412231
jacket	0.0411516
tank	0.0409971
blood	0.0408702
"steering wheel"	0.0408484
bat	0.0407328
pant	0.0407164
bookcase	0.0406034
pile	0.0405196
wood	0.0403977
ICE	0.0403313
pit	0.0402605
sheet	0.0400451
))
("chest pain" (desc 6838.92) (sims
dizziness	0.250271
nausea	0.24521
"back pain"	0.212163
stomachache	0.199665
vomiting	0.194764
angina	0.19272
headache	0.177044
palpitation	0.174971
"sore throat"	0.174611
shortness	0.168797
"heart failure"	0.161947
insomnia	0.160511
"skin rash"	0.159866
"high blood pressure"	0.15654
cramp	0.156424
diarrhea	0.156157
heartburn	0.155657
fever	0.153565
dehydration	0.150088
indigestion	0.149922
hypertension	0.149651
fatigue	0.147396
ache	0.146694
"congestive heart failure"	0.145652
heartbeat	0.143016
"asthma attack"	0.141674
ulcer	0.141608
"heart condition"	0.141058
bronchitis	0.138097
coughing	0.136375
pneumonia	0.13588
"food poisoning"	0.13219
pain	0.131811
"memory loss"	0.131345
symptom	0.130241
"heart attack"	0.128305
migraine	0.126159
asthma	0.125202
cough	0.122659
ailment	0.121433
constipation	0.121352
swelling	0.119125
arthritis	0.11743
anemia	0.117382
"heart disease"	0.115291
hypothermia	0.115104
"upset stomach"	0.114975
disorientation	0.112534
"liver disease"	0.111865
Exhaustion	0.11141
tiredness	0.110771
"blood clot"	0.110052
diarrhoea	0.105224
relapse	0.103975
Osteoporosis	0.103912
infection	0.103634
"hot flash"	0.103127
numbness	0.10202
"blood pressure"	0.101461
nearsightedness	0.101433
arrhythmia	0.101042
nosebleed	0.100731
Depression	0.0997725
sweating	0.098301
soreness	0.0980582
hemorrhage	0.0972895
"panic attack"	0.0970184
illness	0.0946549
"mental disorder"	0.0946228
discomfort	0.0940716
emphysema	0.0930778
schizophrenia	0.0929218
inflammation	0.0921334
spasm	0.0910217
malady	0.090913
"cardiovascular disease"	0.0898165
leukemia	0.0895322
hepatitis	0.0894752
diabetes	0.0892507
disorder	0.088638
"heart rate"	0.0881322
"liquidity problem"	0.0881047
"rheumatoid arthritis"	0.0879043
tightness	0.0878025
flu	0.087432
convulsion	0.0870201
"health problem"	0.0869225
stiffness	0.0866418
"brain tumor"	0.086539
"mental illness"	0.0862139
fibrillation	0.0861208
jaundice	0.0855754
rash	0.0854667
"neurological disease"	0.0853889
hernia	0.0851739
complication	0.084435
drowsiness	0.0841717
"colon cancer"	0.0832766
sunburn	0.0823092
allergy	0.0821042
acne	0.081905
seizure	0.0810859
"heat exhaustion"	0.0808217
dementia	0.079236
syndrome	0.079028
epilepsy	0.0784559
"multiple sclerosis"	0.0783844
dysfunction	0.078214
glaucoma	0.0778114
"nervous breakdown"	0.0776739
abnormality	0.077404
"emotional distress"	0.0770303
malaise	0.0756449
thyroid	0.0756344
"lung cancer"	0.0751359
sneeze	0.0748194
"stage fright"	0.0748118
impairment	0.07449
restlessness	0.0743591
poisoning	0.0740513
frostbite	0.0739022
incontinence	0.07358
congestion	0.0735289
fracture	0.0732211
trauma	0.0730304
inhalation	0.0724986
"respiratory disease"	0.0721469
Meningitis	0.0719969
irritation	0.0719646
whiplash	0.0718586
"engine failure"	0.0718537
"Parkinson's disease"	0.0715902
sickness	0.0714152
"skin disease"	0.0709136
atherosclerosis	0.0707075
osteoarthritis	0.0705701
tremor	0.0702853
"cash crunch"	0.0695134
"power failure"	0.0692733
paralysis	0.0690783
breathing	0.068712
concussion	0.0679495
anorexia	0.067844
infertility	0.0678305
influenza	0.0673776
hallucination	0.0671457
cirrhosis	0.0670621
abscess	0.0670099
"side effect"	0.066912
defect	0.0666533
"muscular dystrophy"	0.0666225
bruise	0.0663865
gastroenteritis	0.0663545
"morning sickness"	0.0663411
lethargy	0.0660642
"eye disease"	0.065759
Distress	0.0657491
dryness	0.0654654
"kidney disease"	0.06521
overdose	0.0649146
hangover	0.0642109
Alzheimer	0.0639154
angioplasty	0.0637761
malnutrition	0.0637033
"skin cancer"	0.0634525
Dysentery	0.0633577
eyesight	0.0623536
reflux	0.0623425
cholesterol	0.0622372
"price pressure"	0.0621352
"tooth decay"	0.0620843
Obesity	0.0620723
irritability	0.061691
"heart valve"	0.0614421
melanoma	0.0612334
sprain	0.0612276
"alcohol abuse"	0.060867
"dengue fever"	0.0607379
"neurological disorder"	0.0606198
impotence	0.0606128
"Lyme disease"	0.060471
"sexually transmitted disease"	0.0599243
hemophilia	0.0599058
aneurysm	0.0597758
lymphoma	0.0591986
malaria	0.0587623
vertigo	0.0587306
delirium	0.058512
anxiety	0.0584483
tumor	0.0581024
cataract	0.0578589
dislocation	0.0570776
lesion	0.0569528
toxicity	0.0569253
kidney	0.0566879
gangrene	0.0566474
"cold spell"	0.0565811
"hepatitis B"	0.0562053
deprivation	0.0559062
side-effects	0.0557991
))
(Chester (desc 3394.74) (sims
Chatham	0.134152
Wallingford	0.110197
Farmington	0.1086
Easton	0.107757
Norwich	0.107365
Middletown	0.104386
Northampton	0.104084
Naperville	0.101982
Cornwall	0.101882
"Highland Park"	0.101608
BRIGHTON	0.10056
Elmira	0.10033
Montclair	0.0998881
riverside	0.0997668
Fairfield	0.0996563
Poughkeepsie	0.0989114
Lawrenceville	0.0982167
"New London"	0.0937381
Bloomfield	0.0933267
"West Orange"	0.0910331
Westfield	0.090782
Peterborough	0.0900413
Allentown	0.0899792
Mansfield	0.0891017
Hempstead	0.0881935
Salisbury	0.0881391
Riverdale	0.0865394
Huntington	0.0864486
Wilton	0.0863906
Plattsburgh	0.0857619
Portsmouth	0.0849066
Yorktown	0.0849062
"East Orange"	0.0842981
Clifton	0.0835882
Morristown	0.0835799
Harrisburg	0.0835375
bethel	0.0826476
"East St. Louis"	0.0824591
Erie	0.0824459
Youngstown	0.0823022
Carlisle	0.0822206
Greenville	0.0821064
Decatur	0.0819083
Somerset	0.0818143
Jamestown	0.0814225
Wayne	0.081321
Aiken	0.0812229
Bridgewater	0.081201
Pomona	0.0808708
Windsor	0.0808021
Chappaqua	0.0807414
Schenectady	0.0806961
Camden	0.0801342
Englewood	0.0800636
Williamsport	0.0795787
Danville	0.0793007
"Port Elizabeth"	0.0792131
"Mount Pleasant"	0.0788684
Darien	0.07867
Scarsdale	0.0783435
Hillsboro	0.0782391
Gloucester	0.0773883
"Monroe County"	0.0770704
Middlesex	0.0761608
"Sussex County"	0.0760811
"Saratoga Springs"	0.0754764
York	0.0750064
Seneca	0.0749353
"Union City"	0.0748794
Aberdeen	0.0745907
Plymouth	0.0744611
Essex	0.0739348
Wildwood	0.0738941
LAKEWOOD	0.0737925
Yonkers	0.0737077
Sussex	0.0736399
Cumberland	0.0735666
Canterbury	0.0734238
Spartanburg	0.0734021
Brownsville	0.0733581
"New Rochelle"	0.0732422
Scranton	0.073119
Westport	0.0729955
Jericho	0.0729659
Montpelier	0.0728825
Peoria	0.0726452
Madison	0.0725456
Wheaton	0.0721451
Cheshire	0.0718778
Blackpool	0.0717521
Izmit	0.0712646
Woodbridge	0.0712537
Greenwich	0.0711892
Medford	0.0707275
Stafford	0.070698
Falmouth	0.0705549
"Fort Lee"	0.0704645
Waterbury	0.0702523
"La Jolla"	0.0701295
Ashkelon	0.0701278
Bedford	0.0700827
Claremont	0.0698271
Paterson	0.0697962
Bridgeport	0.0693461
Manchester	0.0693432
Shepherdstown	0.0689178
Rafah	0.06859
Quincy	0.0684348
Tijuana	0.0680378
Bayonne	0.0678283
Springfield	0.0677848
MINEOLA	0.067692
Princeville	0.0674808
Tarzana	0.0670425
Ithaca	0.0669812
Marjayoun	0.0668383
Dubuque	0.0666812
Crewe	0.066667
Charleston	0.0665026
Westchester	0.0664297
Greenwood	0.0663366
Pittsfield	0.0662192
"Garden City"	0.0661603
DeKalb	0.06614
"Westchester County"	0.0660669
Somerville	0.0659223
Wilmington	0.0658387
Brcko	0.0657596
"Fairfield County"	0.0656202
Richmond	0.0655647
"Ocean City"	0.0655107
Florence	0.0653422
Nazareth	0.0652706
"Cherry Hill"	0.065225
Skaneateles	0.065132
"Virginia Beach"	0.0651271
Chatsworth	0.0650975
Williamstown	0.0650073
Oneida	0.0646411
Milford	0.0646403
Bergen	0.0645855
Pacoima	0.0645302
Bridgehampton	0.0644235
Halifax	0.0642496
LaGrange	0.0639619
"High Point"	0.0638891
Surrey	0.0638172
Kandy	0.0637951
"East Hampton"	0.0637366
Deerfield	0.0635003
"Great Neck"	0.0633415
Bristol	0.0632977
"Ciudad Juarez"	0.0632479
Cacak	0.0630461
Uniondale	0.0626692
Dover	0.0625567
Devon	0.0623557
Watertown	0.062334
Waterloo	0.0622543
Kingston	0.0622441
Southampton	0.0621005
Norwalk	0.0620176
Zhangbei	0.0620102
"New Canaan"	0.0618314
Texarkana	0.0614777
Middlebury	0.0614614
ASHEVILLE	0.0612566
Rennes	0.0612456
"San Luis Obispo"	0.0610601
Cicero	0.0610226
Pleasantville	0.0607458
Krakow	0.0607083
Hastings	0.0606486
Juba	0.0605366
Peekskill	0.0604737
"Paradise Valley"	0.0604699
Lancaster	0.0602825
Lynchburg	0.0601546
Salem	0.0601378
Brookhaven	0.0600392
Winchester	0.0597944
Urosevac	0.0597626
Hershey	0.0595264
TARBORO	0.0591911
Bethlehem	0.059145
Stamford	0.0590823
Aachen	0.0587737
Fairfax	0.0583126
Bradford	0.0582061
Dunwoody	0.0581087
Alameda	0.0580372
Cardiff	0.0579449
"Dutchess County"	0.0577559
Oakmont	0.0577312
Ridgewood	0.0577043
Vernon	0.0573248
Jasper	0.0573119
Dixon	0.0572837
Weimar	0.0572409
Windham	0.0572226
))
(Chesterfield (desc 1390.6) (sims
Fenton	0.115989
"Crystal City"	0.114198
Farmington	0.104649
"Jefferson City"	0.104395
Marlboro	0.0803576
Chatham	0.078136
"Jackson County"	0.0755991
lark	0.0747782
Carrollton	0.0730411
Mansfield	0.0719251
Langley	0.0718272
Suffolk	0.0682356
Doral	0.0666704
Catalina	0.0664378
Clinique	0.0650439
Branson	0.0640372
"Bud Light"	0.0636695
Joplin	0.0636087
Elgin	0.0621141
Saginaw	0.0614789
"Fairfax County"	0.0614172
Herndon	0.0613246
Dearborn	0.0605454
Stafford	0.0598215
Amelia	0.059807
Reston	0.0580832
Gladstone	0.0574406
docker	0.0570881
LaGrange	0.0570174
Orangina	0.0567435
"hush puppy"	0.0557171
Coventry	0.0555934
"Auburn Hills"	0.0549118
Leicester	0.0536647
Salem	0.0536435
Miyake	0.053029
Yorktown	0.0515303
cardigan	0.0510438
Chesapeake	0.0506959
"South Atlantic"	0.0493646
"East Lansing"	0.0492041
Dulles	0.0487989
"Ann Arbor"	0.0482588
forbidden	0.0474005
mitten	0.0471637
outerwear	0.0470638
Fairfax	0.0469251
Roanoke	0.0468376
Elton	0.0466318
Albertson's	0.0457875
Jell-O	0.0457436
Haagen-Dazs	0.0452876
"Garden City"	0.0450752
Zhongguancun	0.0448602
Hillsboro	0.0440322
"Monroe County"	0.0438501
Sipadan	0.0433333
Jekyll	0.0431678
"Far Eastern"	0.0427863
Greenwood	0.0427449
Marquette	0.0427107
Fredericksburg	0.042415
Batam	0.0421216
Petersburg	0.0421148
Thomasville	0.0418078
Galapagos	0.0415665
Malvinas	0.041189
"Fort Wayne"	0.0410828
Lynchburg	0.0410555
"Mount Pleasant"	0.0410393
Phillip	0.0409866
Sprite	0.0408415
Sakhalin	0.040832
Ghent	0.0406062
"Mountain View"	0.0405564
))
(chestnut (desc 10715.1) (sims
"pork loin"	0.0730556
asparagus	0.0725695
mushroom	0.0722676
fig	0.0708311
Oak	0.0693225
Bulatovic	0.0671047
Birch	0.0664808
potato	0.066376
Sawyer	0.0651988
Maple	0.0645037
cashew	0.064428
shallot	0.0642396
tomato	0.0635561
pecan	0.0618653
bean	0.0609805
eggplant	0.0608402
beet	0.0607686
apple	0.0600679
pear	0.0597809
Garlic	0.0595825
"pumpkin seed"	0.0592496
"sweet potato"	0.0592233
Byrdsong	0.0584381
leek	0.0583405
sausage	0.0580954
Elm	0.0578284
onion	0.0577859
carrot	0.057114
Dorismond	0.0569328
Cherry	0.0569241
pork	0.0566628
vegetable	0.0566224
Gibson	0.0564252
peach	0.0563433
fennel	0.0561143
shrimp	0.0560731
Glover	0.0557167
beech	0.0555926
chilies	0.0553037
poplar	0.0551056
Batouty	0.0542225
turnip	0.0538487
artichoke	0.0536242
raisin	0.0524636
"cherry tomato"	0.0522921
chicken	0.0522693
hazelnut	0.0521114
Blackmun	0.0520743
apricot	0.0520201
plum	0.051534
"red pepper"	0.0511126
noodle	0.050934
pepper	0.0508797
grape	0.0505635
"root vegetable"	0.0504437
"garlic clove"	0.0504352
RHUBARB	0.0502493
chiles	0.0500631
berry	0.049664
sauerkraut	0.0492167
herb	0.0490458
"bell pepper"	0.0488557
"plum tomato"	0.0483083
melon	0.047979
veggie	0.0478391
nut	0.0474225
scallop	0.0473327
"string bean"	0.0472433
parsnip	0.0470486
almond	0.0466971
pea	0.0464743
spinach	0.0462337
Pinto	0.0457837
Ileto	0.0457292
corn	0.0454997
nance	0.0453999
Slepian	0.0450878
"shiitake mushroom"	0.0450773
Hagel	0.0450498
pasta	0.0445943
oyster	0.0445707
cranberry	0.0445482
squash	0.0444742
Hemlock	0.0442785
truffle	0.0436515
"brussels sprout"	0.0435871
ginger	0.043493
cheese	0.0433452
peanut	0.0432118
Weston	0.0431164
cabbage	0.0428905
seafood	0.0428406
"rack of lamb"	0.0428193
Broccoli	0.0427389
pineapple	0.0427296
Phills	0.0424726
blueberry	0.0423252
bread	0.0423019
lemon	0.0422822
"sunflower seed"	0.0421853
Krasniqi	0.0421751
olive	0.0421677
tomatillo	0.0421109
lard	0.0420801
"foie gras"	0.0418288
strawberry	0.0417243
pumpkin	0.0414746
"goat cheese"	0.0414301
"Griffith Joyner"	0.0414078
"sweet corn"	0.0413729
lamb	0.0413582
butter	0.0413306
mango	0.0409157
chocolate	0.0408551
salmon	0.0408514
clam	0.0406734
Shelton	0.0405466
Hickman	0.040392
"bean sprout"	0.0403607
kernel	0.0403134
quail	0.0403114
Starovoitova	0.0401562
"green bean"	0.0400928
Chili	0.0400818
Nyerere	0.040048
Harkes	0.0400008
))
(Cheung (desc 3966.94) (sims
Arizmendi	0.15952
Nikitin	0.134888
"Russell Peeler"	0.132658
Manbar	0.127249
Papon	0.124899
Agca	0.124893
Cheng	0.124106
Fung	0.123484
Berenson	0.121416
Echegaray	0.121086
Wong	0.119126
Carruth	0.118151
Raduyev	0.117072
Wan	0.116806
Jenoff	0.11661
Hofer	0.111907
McGinn	0.110869
Priebke	0.11072
Claes	0.110552
Khalil	0.110423
"Iranian Jews"	0.107819
Gotti	0.105853
Lai	0.104569
Robison	0.104536
Karr	0.104514
Mitnick	0.104498
Mease	0.104362
Livoti	0.103544
Ahmed	0.103288
Schwarz	0.102748
Ng	0.102158
McKinney	0.102095
Bao	0.101973
Sheinbein	0.100207
Giacchetto	0.0990982
Garza	0.0987593
Faulder	0.0980344
Blackthorne	0.0975481
"Maturino Resendiz"	0.097518
Abernathy	0.0973682
Tsang	0.0971739
Neulander	0.096939
Hsia	0.0964843
Kiareldeen	0.0958511
Fortier	0.0957844
Haouari	0.0954855
Leung	0.0949565
McVeigh	0.0947433
Mikhailov	0.0937319
Akayesu	0.0931534
Bakaly	0.0925223
Huang	0.0924353
Hamid	0.0917506
Sebaggala	0.0916991
Schweitzer	0.0915305
Skakel	0.0898993
Lacresha	0.089688
Karbaschi	0.0894396
Yoo	0.0889582
Gutman	0.0888931
Einhorn	0.0873849
Capano	0.0873253
Stayner	0.0872244
Qin	0.0871759
Fagan	0.0866858
"Raul Salinas"	0.0865304
Limon	0.0862728
Swango	0.0861114
Barrionuevo	0.0861099
Kaczynski	0.0860317
Gauthe	0.0859437
chun	0.0857785
Elhage	0.0855841
Chan	0.0855684
"Louise Woodward"	0.0853857
Lileikis	0.0850172
Abu-Jamal	0.0841921
Tarver	0.0841419
Mehmet	0.083724
Mcbride	0.0836556
Lundy	0.083327
Okamoto	0.0833079
Farris	0.0830081
Meskini	0.0825742
Martorano	0.0820665
Trie	0.0815747
Faget	0.081097
Deri	0.0809299
Lau	0.0804695
"Michael Skakel"	0.0804177
Gritz	0.0803334
Ghani	0.080186
Markhasev	0.0800137
Merlino	0.0797067
Seligman	0.0796518
Gravano	0.0796213
Dokmanovic	0.0795188
"Andrew Johnson"	0.0794586
Beckwith	0.0788818
Ntuyahaga	0.0788165
Zhang	0.0786626
Shayler	0.0784886
Vasquez	0.0784411
Quintana	0.078312
Nathaniel	0.0780345
Crocker	0.0780023
Lo	0.0779777
Jelisic	0.0778884
Massey	0.0778512
Bowers	0.0777976
Rashid	0.0776611
McDuff	0.0769162
"John Gotti"	0.0768625
Malan	0.0766315
"Edwin Edwards"	0.07654
Shi	0.0764811
Smyth	0.0763856
Rong	0.0763569
Montiel	0.0763065
Kirkpatrick	0.0762211
McDougal	0.0760917
Noriega	0.0759101
Haughey	0.0758926
Yu	0.0757122
Zamora	0.0756548
"Richard Ashby"	0.0748338
Baez	0.0743497
Brownlee	0.0742086
Gurule	0.0741812
Sakic	0.0740883
Sithole	0.0734463
Salim	0.0733303
Salemme	0.0732996
Mattysse	0.07281
Whitacre	0.0727945
Hirschfeld	0.0725199
xu	0.0724732
Lim	0.0722114
Symington	0.0721219
peeler	0.0720074
Yastrzhembsky	0.0717297
Reimer	0.0716329
Kimeses	0.0716026
Trantino	0.0715877
Haney	0.0715823
Kehoe	0.0713623
Siripongs	0.0712465
Kinkel	0.0712114
Coe	0.0710217
"Manuel Noriega"	0.0708752
Craxi	0.0706035
Mudge	0.0704068
Druckenmiller	0.0702948
Shipman	0.0702274
Gusinsky	0.0702106
Beathard	0.0701345
"Ruiz Massieu"	0.0700875
"Yigal Amir"	0.070058
McWilliams	0.0697546
"Jack Kevorkian"	0.0697372
Laudor	0.0697029
tan	0.0690623
Pollard	0.0688271
Boesak	0.0686622
Kodikian	0.0686041
Ocalan	0.0685639
Nichols	0.0685573
KEVORKIAN	0.0684889
Volpe	0.0684773
Duran	0.0684298
Wang	0.0684011
Coolio	0.0683387
"John William King"	0.0683313
"Timothy McVeigh"	0.0682788
Salinas	0.0681404
Dodik	0.0678657
Winkler	0.0676903
Lin	0.0676808
"Terry Nichols"	0.0676545
Hu	0.0676517
Caddell	0.0676462
Steele	0.0676182
Glover	0.0675161
Shulman	0.0674486
"Gary Graham"	0.0674121
Cui	0.0673924
furrow	0.0671407
Gosper	0.067052
"El Hage"	0.0670196
Chen	0.0670097
Speight	0.06694
Schmitz	0.0668899
Boyle	0.0668873
Espy	0.0668232
Colburn	0.0667616
Dutchmen	0.0667343
Bove	0.0667159
Nunez	0.0666152
Pagones	0.0662076
Adair	0.0661508
))
(Chevenement (desc 2705.51) (sims
Bulatovic	0.188295
Alatas	0.157978
Harmoko	0.142666
Demaci	0.138389
Koirala	0.137861
Kajiyama	0.135656
Asprilla	0.134143
Zeroual	0.129577
Nivel	0.12897
Izetbegovic	0.128371
Mordechai	0.127328
Schaeuble	0.126622
Ritter	0.126483
Mandelson	0.124335
Katsav	0.124203
Azizah	0.121425
"Secretary General Esmat Abdul-Meguid"	0.120228
Tarawneh	0.119894
"de Charette"	0.118603
Yastrzhembsky	0.117983
Mohajerani	0.117403
Chuan	0.117394
Kinkel	0.117022
Sanan	0.116937
Zadornov	0.116619
Obuchi	0.115518
MIYAZAWA	0.115301
Laudrup	0.114979
Hoddle	0.1149
Brundtland	0.114562
Farrakhan	0.113157
Wolfensohn	0.113107
Majko	0.112975
Moratinos	0.112917
Erbakan	0.112281
Bildt	0.112064
Stepashin	0.112062
"Pandeli Majko"	0.111947
Weizman	0.111519
Krajisnik	0.110964
"Kim Jong-pil"	0.110949
Lazarenko	0.110044
DIMON	0.110004
Ruehe	0.109785
Prabowo	0.109781
Kazhegeldin	0.109688
Deri	0.109391
Ecevit	0.109254
Kaunda	0.108523
Lafontaine	0.108462
Khamenei	0.10644
Mokhehle	0.105938
Basayev	0.105871
"Faisal Husseini"	0.105617
Irvan	0.10527
Nazarbayev	0.105265
Juppe	0.105178
Blatter	0.105075
Vogts	0.104621
Haider	0.104575
"Speaker Ali Akbar Nateq-Nouri"	0.104564
Buthelezi	0.104406
Jovanovic	0.104316
"Prime Minister Kamal El-Ganzouri"	0.104179
Hajjarian	0.103867
Kasoulides	0.103639
Wahid	0.103409
Trudeau	0.103174
Simitis	0.102803
Stoyanov	0.102193
Pfeiffer	0.102167
Nouri	0.101693
Murayama	0.101604
Alarcon	0.101494
Yavlinsky	0.101487
Strauss-Kahn	0.101483
Verney	0.101119
Lahoud	0.101083
Insulza	0.100934
Chubais	0.100915
Yazdi	0.100892
Meguid	0.100847
Erekat	0.100767
"John Bruton"	0.100515
Malu	0.100477
"H.D Deve Gowda"	0.100422
Lindros	0.100393
Kasyanov	0.0999335
Papandreou	0.0998507
Zuma	0.0997538
Knievel	0.0996845
Maradona	0.0990551
Nemtsov	0.0989515
"Hanan Ashrawi"	0.0989257
Wamba	0.0988262
"Keizo Obuchi"	0.0986952
al-Sahhaf	0.0985517
Boueiz	0.0980412
"Jacques Santer"	0.0976755
Milutinovic	0.0976731
Beilin	0.0973437
Sharansky	0.0972158
Havel	0.0970404
Wilhelm	0.0969778
Chirac	0.0968949
Barad	0.0968263
Hrawi	0.0966349
Jayakumar	0.0964422
Nasrallah	0.0963967
Bhattarai	0.0963188
Lipponen	0.0961187
Talebi	0.0961148
Peres	0.0959737
Fernandes	0.0956293
Beye	0.0955917
Rifkind	0.0954538
Venables	0.0953898
Tudjman	0.0952997
Gowda	0.0952647
Ciampi	0.0952568
Cowens	0.0951971
Luzhkov	0.0951745
Meciar	0.094891
Ikimi	0.0948487
Shaath	0.0948048
Aleman	0.0946952
Manley	0.0946729
Imperatori	0.0946257
Coelho	0.0941439
Havelange	0.0940369
"Deve Gowda"	0.0939379
D'Alessandro	0.0939294
Primakov	0.0939231
Klestil	0.0937249
Al-Sabah	0.093687
al-Sharaa	0.093633
Modise	0.0936176
Thurmond	0.0935443
Cem	0.0935168
"John Prescott"	0.0933416
Karbaschi	0.093298
Berri	0.0932215
Schottenheimer	0.0929443
Bizimungu	0.092879
Leghari	0.0928525
Mukora	0.0926921
Passarella	0.0926815
Velayati	0.0924566
"Shi Guangsheng"	0.0923604
Singson	0.0923038
"Michael Heseltine"	0.0922173
Kharrazi	0.0920985
Cubas	0.0917625
Advani	0.0916459
Waigel	0.0916112
Hariri	0.0915877
Wiranto	0.0915855
D'Alema	0.0915741
Dodik	0.0915657
Chernomyrdin	0.0915472
Markovic	0.0913603
Nateq-Nouri	0.0913501
Meissner	0.0913441
Lim	0.0910489
Hoss	0.090861
"Iranian Foreign Ministry"	0.0907189
Lebed	0.0906976
"Saeb Erekat"	0.0905377
"Tim Fischer"	0.0903755
Dierker	0.0903651
Sergeyev	0.0902827
Gauthier	0.090273
Kumaratunga	0.0902499
Goh	0.0901848
Abdel-Meguid	0.0898292
Kostov	0.0898002
"Necmettin Erbakan"	0.0896155
Shevardnadze	0.0892157
Kalejs	0.0892035
Camdessus	0.0891588
Mugabe	0.0890761
Rao	0.0890448
Hodler	0.0889751
Yassin	0.0888908
Jacquet	0.0888634
Safir	0.0888399
Naumann	0.0888097
Ince	0.0887562
Ivester	0.0884251
Misuari	0.0883183
BARNICLE	0.0880274
Ivanov	0.087729
Eubanks	0.0876897
Cavallo	0.0876661
Penders	0.0876306
Fabius	0.0876187
Ouattara	0.087473
"Robert Rubin"	0.087364
Hekmatyar	0.0872599
"Tariq Aziz"	0.0872066
))
(chevre (desc 907.133) (sims
"bittersweet chocolate"	0.181336
FETA	0.161982
"goat cheese"	0.155161
ricotta	0.142466
mozzarella	0.138287
"blue cheese"	0.136598
tortellini	0.134034
"shiitake mushroom"	0.126797
pancetta	0.125322
"cream cheese"	0.118604
"tomato sauce"	0.11794
"evaporated milk"	0.115697
pesto	0.113415
Masa	0.112707
spinach	0.111375
breadcrumb	0.110732
"beef tenderloin"	0.105965
polenta	0.104965
"condensed milk"	0.104412
"sour cream"	0.103464
"black olive"	0.102274
mayonnaise	0.101208
vinaigrette	0.101163
"red pepper"	0.0970019
Parmesan	0.0940931
"tomato paste"	0.0925926
brie	0.0924649
"maple syrup"	0.0906864
Cheddar	0.0895487
morel	0.0886937
"coconut milk"	0.0870957
"cheddar cheese"	0.0870376
"bean sprout"	0.087013
hummus	0.0869494
Roquefort	0.0860431
curd	0.0838033
"salad dressing"	0.0834871
Gorgonzola	0.0821447
"pine nut"	0.0819046
"brussels sprout"	0.081158
"string bean"	0.0804541
"hoisin sauce"	0.0783301
oregano	0.0775692
"lemon juice"	0.0763198
"coat of paint"	0.0754029
"green bean"	0.0751978
"pineapple juice"	0.0751238
"foie gras"	0.0749367
panko	0.0742646
arugula	0.0741993
jelly	0.0739379
"chicken stock"	0.0739258
salami	0.0737817
"tomato juice"	0.073609
raspberry	0.0729107
sheetrock	0.0727507
Basil	0.072598
tofu	0.0725605
wasabi	0.0723546
pineapple	0.0721857
"lime juice"	0.0721278
lettuce	0.0716934
"red onion"	0.0715832
macaroni	0.0712471
chilies	0.0711392
"pork loin"	0.0709913
marjoram	0.0707443
fettuccine	0.070271
"whipping cream"	0.0699427
pea	0.0695369
blackberry	0.0691163
linguine	0.0689734
avocado	0.0687802
"Chenin blanc"	0.068461
tapenade	0.068233
blueberry	0.0679646
"milk chocolate"	0.0678479
"pumpkin seed"	0.067618
buttermilk	0.0675381
"pork tenderloin"	0.0673517
"cottage cheese"	0.0670616
marshmallow	0.0663531
"chicken broth"	0.0661995
"egg yolk"	0.0658805
Broccoli	0.0655015
"green onion"	0.064962
prosciutto	0.0647939
"gefilte fish"	0.0642263
puree	0.0641079
chervil	0.0640911
"spring water"	0.063687
cider	0.0635359
"smoked salmon"	0.0635019
okra	0.0633847
"fava bean"	0.0630011
parsley	0.0629756
"snow pea"	0.0629565
croissant	0.0629505
"root vegetable"	0.0627974
granola	0.0627145
"heavy cream"	0.0626442
fraiche	0.0623317
cilantro	0.0620265
"lima bean"	0.0620197
walnut	0.061872
eggplant	0.061109
"brown sugar"	0.0608086
cranberry	0.0603873
pecan	0.0596645
"bamboo shoot"	0.0594077
"vanilla ice cream"	0.0593939
"cherry tomato"	0.0592837
zucchini	0.0585752
"root beer"	0.0585587
"beef broth"	0.0584463
"roast beef"	0.0581281
bourbon	0.0579637
"white wine"	0.0579572
"two fingers"	0.0578856
guacamole	0.0577904
"garlic clove"	0.0576128
queso	0.0575237
Gallo	0.0574059
chanterelle	0.0569606
anchovy	0.056737
"whipped cream"	0.056695
"beef stock"	0.0564304
shortening	0.0563875
poop	0.0561166
meringue	0.055767
"iceberg lettuce"	0.0555812
spaghetti	0.0553494
"cider vinegar"	0.0547423
shortcake	0.0547316
cornmeal	0.0546884
confit	0.0544257
"oil paint"	0.0544091
Parmigiano-Reggiano	0.0542176
nectar	0.0535138
"apple juice"	0.0534519
"sparkling wine"	0.0534224
margarine	0.0529874
ravioli	0.0529665
masher	0.0529243
flan	0.0527711
bruschetta	0.0525415
yolk	0.0524453
Blanc	0.0524302
sardine	0.0522424
thyme	0.0520967
"green pepper"	0.0520965
croutons	0.0518733
focaccia	0.0517627
"leg of lamb"	0.0517602
sprig	0.0513993
"egg white"	0.0511737
"grocery bag"	0.0511363
lemonade	0.0510838
brioche	0.0507651
"bell pepper"	0.0506862
"fruit salad"	0.0505834
student-athlete	0.0505435
hazelnut	0.0502436
"chili pepper"	0.0500702
"hot pepper"	0.0499107
"pocket watch"	0.0498722
paprika	0.0496748
lemongrass	0.0495288
"winter squash"	0.0495262
pedicure	0.0495247
sorbet	0.0491342
florets	0.0491035
Cognac	0.0490603
TOMATOES	0.0490316
half-and-half	0.0483538
miso	0.0482644
"cranberry juice"	0.0481091
"water chestnut"	0.0480566
"rack of lamb"	0.0480423
condiment	0.0478523
Riesling	0.0474447
ketchup	0.0472912
"black pepper"	0.046825
"citrus fruit"	0.0466161
shallot	0.0464777
tomatillo	0.046078
posterior	0.0459746
"food coloring"	0.0459712
"potato chip"	0.0459291
tarragon	0.0458277
caramel	0.0457517
"vanilla bean"	0.0456076
saffron	0.0454319
"Eric Cantona"	0.0446938
cauliflower	0.0445418
watercress	0.0445222
"ice pack"	0.0442469
parsnip	0.0438459
"lemon zest"	0.0437965
gook	0.043752
))
(Chevrolet (desc 14631.5) (sims
Chevy	0.248183
GMC	0.179095
Buick	0.166942
Pontiac	0.148473
Oldsmobile	0.144267
Cadillac	0.140712
Toyota	0.135661
Lexus	0.135444
dodge	0.119433
Mazda	0.118818
Mercedes-Benz	0.117313
Infiniti	0.114378
Subaru	0.114088
Honda	0.113531
Mercedes	0.112768
"Chevrolet Monte Carlo"	0.110873
Volvo	0.110303
Saab	0.109955
BMW	0.10785
Audi	0.107212
Chrysler	0.104744
Ford	0.104705
"Mercedes Benz"	0.103551
Mitsubishi	0.101973
Nissan	0.0990858
Porsche	0.0972943
Opel	0.0960601
S-@@	0.0943962
Isuzu	0.0882975
Volkswagen	0.0875353
Ferrari	0.087362
Fiat	0.0855472
Saturn	0.085508
"General Motors"	0.0848955
Chevys	0.0813952
Peugeot	0.080468
Citroen	0.0765426
"Ford Taurus"	0.0756524
jeep	0.0740721
VW	0.0739501
Pontiacs	0.0737927
"Land Rover"	0.073087
DaimlerChrysler	0.0721055
"Ford Explorer"	0.071215
"Toyota Corolla"	0.0711477
Harley-Davidson	0.0711256
Lincoln	0.0706508
Taurus	0.0689083
"Jeep Cherokee"	0.0680018
corvette	0.0678319
GM	0.0677964
"Lincoln Town Car"	0.0670517
midsize	0.0657358
"Ford Escort"	0.0650619
minivan	0.064244
Acura	0.0640139
"Ford Mustang"	0.064011
Camaro	0.0639461
"pickup truck"	0.0630936
Jaguar	0.0630015
Sedan	0.0629053
SUV	0.0628085
Reynard-Honda	0.0626587
Mustang	0.0621544
"Ford Expedition"	0.0618559
Suzuki	0.0609653
subcompact	0.0603117
"station wagon"	0.0590255
pickup	0.0587041
Renault	0.0586514
"Lincoln Navigator"	0.0586179
Plymouth	0.0572281
impala	0.0565018
McLaren-Mercedes	0.0553655
"Chevrolet Suburban"	0.0552646
SUVs	0.0547161
"tractor trailer"	0.0545191
Rolls-Royce	0.0542723
S@@	0.0539859
minivans	0.0537141
cab	0.0533389
convertible	0.0532379
Passat	0.0529589
"Busch Grand National"	0.0524477
rover	0.0523716
Budweiser	0.0520845
Jarrett	0.0519291
"Range Rover"	0.0513239
"Honda Civic"	0.0510758
"auto maker"	0.0509953
Jetta	0.0509136
van	0.0504695
Bentley	0.0504314
Roush	0.0503439
Prius	0.0502143
"Monte Carlo"	0.0500023
"Rolls Royce"	0.0499587
Humvee	0.0490426
Skoda	0.048923
"Mark Martin"	0.0486464
adidas	0.0484725
Hyundai	0.0483264
taxi	0.0474078
Hummer	0.0472189
"race car"	0.0471571
"Busch Series"	0.0470625
Motorcycle	0.0470089
"Winston Cup"	0.0467059
Hornaday	0.0466944
Cadillacs	0.0461135
"Rusty Wallace"	0.0461117
"Tony Stewart"	0.0460514
Gatorade	0.0460511
IRL	0.0458804
Daewoo	0.0458342
DeVille	0.0457866
McLaren	0.0454538
"Ford Motor"	0.0454298
Coupe	0.0452349
Pepsi	0.0452128
cart	0.0451201
Firestone	0.044753
"Land Cruiser"	0.0445401
Aprilia	0.0445317
Ducati	0.0445232
"General Motors Corp."	0.0443086
"Dale Jarrett"	0.0441578
Corolla	0.0441415
Earnhardt	0.0439608
hearse	0.0439408
mercury	0.0439378
Samsung	0.0438969
"NFC Central"	0.0438549
Limo	0.0436941
automobile	0.0436006
"Dale Earnhardt"	0.0435719
semitrailer	0.043476
rig	0.0433175
AutoNation	0.0432329
F-@@@	0.0431404
automakers	0.0430977
Yamaha	0.0429166
Busch	0.0428957
"Ford Motor Co."	0.0428418
Kia	0.0427741
motorbike	0.042687
"Dale Earnhardt Jr."	0.0424938
minibus	0.042182
Benetton	0.0421354
"stock car"	0.0419206
"Jeff Burton"	0.0415775
"NASCAR Winston Cup"	0.0415295
"Jeff Gordon"	0.0413889
Labonte	0.0413308
Reebok	0.0413
Schumacher	0.0411045
Coca-Cola	0.0410584
Waltrip	0.0409657
"Bill Elliott"	0.0408804
Gordon	0.0408141
Anheuser-Busch	0.0408018
Cruiser	0.0403148
VISTEON	0.0402868
neon	0.0400842
))
("Chevrolet Blazer" (desc 1130.2) (sims
"Ford Explorer"	0.187653
"Jeep Cherokee"	0.179975
"Ford Expedition"	0.175304
mini-vans	0.112664
mini-van	0.111458
"Ford Mustang"	0.10286
"dump truck"	0.101737
"Jeep Grand Cherokee"	0.101182
semitrailer	0.095021
snowmobile	0.0910308
Alero	0.0888886
"Lincoln Town Car"	0.0853808
SUVs	0.0837837
RVs	0.0798789
SUV	0.0773487
"station wagon"	0.0772251
motorbike	0.0760229
hatchback	0.0759861
"Honda Accord"	0.0757946
minivan	0.0736938
minivans	0.0729512
"Ford Escort"	0.0712102
Suburbans	0.0701647
"Toyota Corolla"	0.0682742
Buicks	0.068119
"Chevrolet Suburban"	0.06708
"cabin cruiser"	0.0654065
"Honda Civic"	0.0649096
"Land Rover"	0.0645954
Cadillacs	0.0645825
"city bus"	0.0639316
"mountain bike"	0.0632538
inkjet	0.0626037
barbell	0.0615335
"school bus"	0.0614697
Porsche	0.0606358
"electric car"	0.0603694
"fire truck"	0.0600677
RV	0.0598689
"army tank"	0.0597405
"Hans von Sponeck"	0.0595746
"passenger car"	0.0594008
"police van"	0.0590765
hardtop	0.0584422
"squad car"	0.0581982
tux	0.0576258
photocopier	0.056659
"tractor trailer"	0.0561836
"beach house"	0.0559026
shredder	0.0552073
"garbage truck"	0.0524463
Humvees	0.0518663
"fire engine"	0.0511907
"police car"	0.0510518
wastebasket	0.0503545
forklifts	0.0498337
"studio apartment"	0.0498245
"Ford Taurus"	0.0490982
"Ford Explorers"	0.0488185
snowplow	0.048599
copier	0.0479592
taxicab	0.0479535
scooter	0.0469953
"humpback whale"	0.0467853
impala	0.046567
rowboat	0.0465624
T-@@	0.0465231
blimp	0.0456921
"mechanical device"	0.0453097
"coffee pot"	0.0452289
BMWs	0.0451438
"food coloring"	0.0450516
Humvee	0.0450429
hearse	0.0448972
Hummer	0.0447216
sport-utility	0.0446801
Xenia	0.0445445
"Dai Bingguo"	0.0443399
"hypodermic needle"	0.0439088
Oldsmobile	0.0435179
Buick	0.043236
"patrol car"	0.0429563
"Lincoln Navigator"	0.0428232
"telephone booth"	0.0423477
Porsches	0.042317
miniskirt	0.0420836
rickshaw	0.0419449
howitzer	0.0418289
"Land Cruiser"	0.0418059
"summer house"	0.0417163
Thunderbird	0.0416251
"motor oil"	0.0413868
"tea leaf"	0.0413425
backhoe	0.0413058
lawnmower	0.0410606
beany	0.0409298
"love seat"	0.040746
tuxedo	0.0407013
bustier	0.0405105
Tahoe	0.0401778
"Queen Mary"	0.0400562
))
("Chevrolet Monte Carlo" (desc 1108.71) (sims
"Ford Taurus"	0.180852
Chevy	0.14648
"Chevrolet Suburban"	0.128058
"Ford Focus"	0.122096
Taurus	0.118395
"Toyota Corolla"	0.111869
Chevrolet	0.110873
Buick	0.106918
McLaren-Mercedes	0.106038
Thunderbird	0.105921
"Jeep Grand Cherokee"	0.104534
"Monte Carlo"	0.103826
corvette	0.101276
"Ford Escort"	0.0993172
roadster	0.0951382
subcompact	0.0951134
"Ford Explorer"	0.0950698
Porsche	0.0872369
Camaro	0.087032
Cineplex	0.0827252
Roush	0.0820444
"Volkswagen Beetle"	0.0819953
forklift	0.0819583
Peugeot	0.081153
"race car"	0.0802085
Mustang	0.0794015
Menard	0.0791348
"stock car"	0.0787515
"Honda Accord"	0.0785612
hatchback	0.077936
Pontiac	0.0775698
double-decker	0.0773448
"Range Rover"	0.0769661
two-seater	0.0768379
"electric car"	0.076248
impala	0.0759481
Mini-bus	0.0752397
"Jeep Cherokee"	0.0747344
F-@@@	0.074594
subpar	0.0736741
"Mercedes Benz"	0.0735491
taxicab	0.0729263
Jetta	0.0728006
"fire truck"	0.0725938
transporter	0.0725568
"Palm VII"	0.0724372
Acura	0.0723534
V@@	0.0721253
Stagecoach	0.0720753
"Winston Cup"	0.0719862
Prius	0.0716938
DeVille	0.0716823
BMWs	0.0704507
McLaren	0.0704417
"Ford Expedition"	0.0703892
"Lincoln Town Car"	0.0701796
Skoda	0.0700423
snowplow	0.0699796
Capel	0.0693556
minivan	0.0680083
Subaru	0.0678713
Buicks	0.0670714
"shuttle bus"	0.0666424
"sports car"	0.0662226
superspeedway	0.0659318
Citroen	0.0655491
S@@	0.0651024
"Honda Civic"	0.0643626
"Top Fuel"	0.063886
"Busch Grand National"	0.063857
Ferrari	0.0636451
"Roush Racing"	0.0634109
Passat	0.0630552
COS.	0.0628702
"Motor Speedway"	0.0624579
"tractor trailer"	0.0621029
Matchbox	0.0618964
rickshaw	0.0617571
sport-utility	0.0616911
"Funny Car"	0.0616632
Cadillac	0.061527
"Winning Colors"	0.0615033
"Busch Series"	0.0614806
speedboat	0.0613483
locomotive	0.0610239
Alicea	0.0610101
ESCALADE	0.0606679
"Land Rover"	0.0598659
Maxima	0.0597183
"Pentium III"	0.0595413
Lexus	0.0594973
Aprilia	0.0591967
Acela	0.0588944
Audi	0.0585231
"NASCAR Winston Cup"	0.0581915
"dump truck"	0.057466
"dormitory room"	0.0573018
Plymouth	0.0571487
X-@@	0.0561141
"fire engine"	0.0560414
"garbage truck"	0.0560288
Suzuki	0.0560135
"welcome mat"	0.0560076
Hendrick	0.0557714
"thermonuclear warhead"	0.0555378
"pedestrian bridge"	0.0555069
"New Beetle"	0.0554965
Packard	0.0553216
Baerga	0.0551119
Mercedes-Benz	0.0550117
"Robby Gordon"	0.0547653
jeepney	0.0546662
endoscope	0.054578
hearse	0.0544472
"Dominique Wilkins"	0.0542975
Gibbs	0.0541056
"passenger car"	0.0539917
"racing car"	0.0539871
"particle accelerator"	0.05397
"another six"	0.0539029
"Rick Neuheisel"	0.0535646
"subway train"	0.053416
Burnt	0.0534144
lawnmower	0.0533842
idling	0.0533582
"Go Network"	0.0531948
Fryman	0.0531212
NHRA	0.0529737
tricycle	0.0529388
Foyt	0.0527661
"Wilton Veras"	0.0527264
Bentley	0.0527059
"Playstation @"	0.0526882
"UNIX operating system"	0.0523176
Yamaha	0.051963
Porsches	0.051815
Coupe	0.05176
Spring/Summer	0.0517011
Springbok	0.051661
SUV	0.0514819
minivans	0.0513854
Opel	0.0513353
"Grand National"	0.051323
saloon	0.0511179
midsize	0.0509823
"bus company"	0.0508195
"city bus"	0.0507836
Tram	0.0506461
Stratus	0.0506301
Win@@	0.0505595
motorbike	0.0502008
Pony	0.0497745
Limo	0.0494837
encyclical	0.0493696
airship	0.0493355
Muni	0.0492109
RV	0.0491983
fastener	0.049103
"Subaru Impreza"	0.0487584
"Fortune Global Forum"	0.0485349
"reading program"	0.0484848
Ftorek	0.0484691
moped	0.048339
"Enrique Wilson"	0.0481997
"station wagon"	0.0481403
Banknote	0.0478736
wattle	0.0477184
mower	0.0475487
"London Marathon"	0.0475442
sonata	0.0475272
trolley	0.047523
"June Jones"	0.0474026
Powerbook	0.0473702
Rueter	0.0473632
Healtheon/WebMD	0.0473353
Thinkpad	0.0472506
Reynard-Honda	0.0472363
"Office @@@@"	0.0472283
"PT Cruiser"	0.0471409
"numbers game"	0.0471076
Penske	0.0470684
"Mac OS"	0.047051
Corolla	0.0468408
masterwork	0.0468318
"Amnuay Virawan"	0.0467369
Antley	0.0466789
"NBA Draft"	0.0466261
"wind tunnel"	0.0465956
"car door"	0.0464603
Webcam	0.046456
Prowler	0.0463855
scooter	0.0463313
Eizenstat	0.0463195
lifeboat	0.0461052
coaster	0.0460611
Tootsie	0.0460276
"Tony Stewart"	0.0459714
"Cy Young Award"	0.0459093
PSG	0.0457414
Olivares	0.0457041
))
("Chevrolet Suburban" (desc 1795.97) (sims
suburban	0.237433
"Jeep Grand Cherokee"	0.155712
"Lincoln Navigator"	0.140569
"Ford Taurus"	0.137146
"Ford Expedition"	0.13608
"Ford Explorer"	0.132355
"Chevrolet Monte Carlo"	0.128058
"Lincoln Town Car"	0.11488
"Jeep Cherokee"	0.106914
"Range Rover"	0.106506
sport-utility	0.105935
mini	0.100059
"Land Cruiser"	0.0977319
Tahoe	0.0961952
"Ford Mustang"	0.0948658
minivan	0.093455
Alero	0.0884679
Taurus	0.0876797
"Honda Civic"	0.0873619
"station wagon"	0.0843053
V@@	0.0810936
"Honda Accord"	0.0790427
"Volkswagen Beetle"	0.0779624
"pickup truck"	0.0763899
SUVs	0.0753172
"Mercedes Benz"	0.0736426
Coupe	0.0730358
Thunderbird	0.0717598
Cadillacs	0.0715083
SUV	0.0711146
ESCALADE	0.0708786
"garbage truck"	0.070635
mini-vans	0.0700574
Humvee	0.0680757
BMWs	0.0676939
"Chevrolet Blazer"	0.06708
Yukon	0.0668208
subcompact	0.0667176
minivans	0.0663952
"Land Rover"	0.0655002
Cadillac	0.0637303
corvette	0.0632409
Maxima	0.0630955
hearse	0.0630694
"UNIX operating system"	0.0628367
jeep	0.0627756
Camaro	0.0626713
"racing car"	0.0625732
semitrailer	0.0617692
Porsche	0.0613472
DeVille	0.0610137
fiefdom	0.0605216
"tractor trailer"	0.0599339
"sports car"	0.0591699
"dump truck"	0.0581661
Hummer	0.057923
"Toyota Corolla"	0.0571341
Bentley	0.0565206
two-seater	0.0562814
Camry	0.0556266
Limo	0.0554288
"passenger car"	0.0553285
Chevrolet	0.0552646
snowmobile	0.0550767
Buick	0.0548678
limousine	0.054541
"fire truck"	0.0545087
"Ford Escort"	0.0537697
"Parent Trap"	0.0534886
F-@@@	0.0529031
Suburbans	0.0519718
Mustang	0.0519216
Buggy	0.0515736
"police car"	0.0514341
"voting machine"	0.0507178
Buicks	0.0502518
Ferraris	0.0500016
rickshaw	0.0497361
"Martin Lawrence"	0.0496954
"Audi A@"	0.0496876
"fire engine"	0.0494289
"squad car"	0.0492959
Jetta	0.0492837
motorbike	0.0492329
"race car"	0.0488735
minibuses	0.0485317
taxicab	0.0483684
snowboard	0.0479427
"electric car"	0.0477829
wastebasket	0.0474509
undershirt	0.0472939
"Mac OS"	0.0467465
fastener	0.0464047
Anelka	0.0459576
visor	0.045908
"patrol car"	0.0454099
"Dirty Bird"	0.0453195
moped	0.0451154
Oldsmobile	0.0449682
"Labrador retriever"	0.0448888
tux	0.0447462
"foster mother"	0.0446387
"nervous breakdown"	0.0445629
"school bus"	0.0444222
"sugar refinery"	0.0440142
speedboat	0.0439858
"Ford Focus"	0.0428894
"bank building"	0.0426622
"line of products"	0.0426165
"pants suit"	0.042518
Lexus	0.042498
lorry	0.0424255
roadster	0.0421924
V-@	0.0420872
"moving van"	0.0417462
"landing craft"	0.0417429
hatchback	0.0416996
Prius	0.0416571
Bostonians	0.0415412
WordPerfect	0.0412749
RealPlayer	0.0409447
"car door"	0.040782
forklift	0.0407504
cockatoo	0.0405731
"entitlement program"	0.0405305
"clock radio"	0.0402069
"jelly bean"	0.0401084
Acura	0.0400954
waistcoat	0.0400413
stapler	0.0400367
))
(Chevron (desc 14492.2) (sims
Texaco	0.309253
Mobil	0.281854
Exxon	0.280458
Amoco	0.253305
Esso	0.228993
"BP Amoco"	0.227984
"British Petroleum"	0.224312
ARCO	0.220892
Conoco	0.214928
"Royal Dutch/Shell"	0.209938
BP	0.205204
Dupont	0.18807
"Atlantic Richfield"	0.18773
Agip	0.187351
UNOCAL	0.178545
Merck	0.173012
Alcoa	0.172754
"International Paper"	0.170864
Enron	0.170731
"General Electric"	0.170281
Caltex	0.167871
"Procter &AMP; Gamble"	0.167434
Monsanto	0.165898
"Union Carbide"	0.165589
"American Express"	0.163964
Kodak	0.160402
"Exxon Mobil"	0.157991
Hewlett-Packard	0.15108
Motorola	0.149624
"Johnson &AMP; Johnson"	0.148185
"Dow Chemical"	0.147979
IBM	0.145646
"Philip Morris"	0.144575
Pepsico	0.144431
PETROBRAS	0.143992
Honeywell	0.143644
Citigroup	0.142434
"United Technologies"	0.139846
"J.P. Morgan"	0.137983
"General Motors"	0.137315
BankAmerica	0.136364
Eni	0.13533
"Chevron Corp."	0.134387
Unilever	0.134203
Pfizer	0.133871
Elf	0.1333
Halliburton	0.132551
"Bell Atlantic"	0.129882
Coca-Cola	0.128436
Intel	0.127337
"Deutsche Bank"	0.126233
UAL	0.12294
WorldCom	0.122818
"Sara Lee"	0.121963
BASF	0.121707
"Glaxo Wellcome"	0.121285
Goodyear	0.121244
"Eastman Kodak"	0.121102
"Texas Instruments"	0.120745
Caterpillar	0.120118
Aetna	0.119915
"Time Warner"	0.119719
REPSOL	0.119685
Sears	0.119248
"MCI WorldCom"	0.119101
GANNETT	0.119078
"ELF AQUITAINE"	0.11834
Boeing	0.117993
Statoil	0.117928
Siemens	0.1179
"Ford Motor"	0.117554
Warner-Lambert	0.117428
Raytheon	0.117403
"Shell Oil"	0.117209
BellSouth	0.117068
AlliedSignal	0.116288
SBC	0.11622
Nortel	0.115803
Xerox	0.115745
Novartis	0.115741
NIKE	0.115073
Cisco	0.114623
Compaq	0.114214
Pemex	0.114165
DaimlerChrysler	0.113979
Wal-Mart	0.113823
McKesson	0.113772
EMC	0.113357
"P&AMP;G"	0.113143
Gillette	0.113044
Lukoil	0.112952
Norwest	0.112905
Qualcomm	0.112806
Viacom	0.112561
Litton	0.112094
"News Corp."	0.110928
RJR	0.110896
Georgia-Pacific	0.110393
GTE	0.110325
Microsoft	0.110138
CMGI	0.109563
"Deutsche Telekom"	0.10938
Amgen	0.10926
"Wells Fargo"	0.109044
oracle	0.108843
BofA	0.108553
Lockheed	0.108187
"Con Edison"	0.107577
Unisys	0.107353
"Times Mirror"	0.106539
Novell	0.106391
"Chase Manhattan"	0.106278
Kellogg	0.106181
"Lockheed Martin"	0.106153
"Phelps Dodge"	0.106134
Genentech	0.106095
Seagram	0.106085
Qwest	0.105963
Bristol-Myers	0.105514
Starwood	0.10551
"Walt Disney Co."	0.105464
"Bank of America"	0.105434
CNET	0.104655
ENTREMED	0.104557
"RJR Nabisco"	0.104422
Mattel	0.104287
Petronas	0.104108
"Dell Computer"	0.103987
HSBC	0.103827
Healtheon	0.103197
"Fannie Mae"	0.103102
Schlumberger	0.102843
AMR	0.102828
"American Home Products"	0.10254
BankBoston	0.102481
Totalfina	0.102397
"Allied Signal"	0.10226
NORTHROP	0.102223
Vivendi	0.102202
"Home Depot"	0.102165
Shell	0.102141
"Cisco Systems"	0.10214
YPF	0.101852
Pennzoil	0.101595
SmithKline	0.101126
Hasbro	0.100949
Dell	0.100889
"Total Fina"	0.100572
NationsBank	0.100404
Airtouch	0.10022
Daimler-Benz	0.10007
"Merrill Lynch"	0.0995304
VENATOR	0.0993865
CCE	0.0993162
NiSource	0.0991906
Nestle	0.0990963
"Dayton Hudson"	0.099018
"Exxon Corp."	0.0988853
"France Telecom"	0.0987583
Schwab	0.0985591
"Silicon Graphics"	0.0981986
Chrysler	0.0979076
"American Home"	0.09787
MCI	0.0977204
Hoechst	0.0976809
"Eli Lilly"	0.0976682
Sumitomo	0.0973389
Weyerhaeuser	0.0971076
"Ford Motor Co."	0.09697
Telefonica	0.0966365
"JDS Uniphase"	0.0965032
Ameritech	0.096397
Checkfree	0.0962817
Pertamina	0.0962073
Biogen	0.0959692
Citicorp	0.0958679
"Bankers Trust"	0.0958093
Scientific-Atlanta	0.0956728
"Berkshire Hathaway"	0.0955693
Maytag	0.0953526
"Levi Strauss"	0.0952339
"Motorola Inc."	0.0951853
HP	0.0946827
"J&AMP;J"	0.0946426
Cargill	0.0944724
"Bristol-Myers Squibb"	0.0943205
"Telecom Italia"	0.0941803
Emulex	0.0940681
"General Motors Corp."	0.0940619
Verizon	0.0938226
Anheuser-Busch	0.0937818
Ge	0.0936048
Livent	0.093134
TCI	0.0930902
Nokia	0.0929472
Bestfoods	0.0928898
"R.J Reynolds"	0.0928216
TYCO	0.0927686
"U S West"	0.0926671
"America Online"	0.0924894
))
("Chevron Corp." (desc 1795.22) (sims
"Texaco Inc."	0.268806
"Mobil Corp."	0.26254
"Exxon Corp."	0.249894
"Atlantic Richfield Co."	0.246787
"Federated Department Stores"	0.185209
"AMR Corp."	0.170028
"New York Times Co."	0.15851
"American Home Products Corp."	0.151677
"Cendant Corp."	0.148935
"Times Mirror Co."	0.147842
"Hughes Electronics Corp."	0.145448
"Mattel Inc."	0.143786
"Dow Jones &AMP; Co."	0.140605
"Viacom Inc."	0.140174
"Gap Inc."	0.136925
"BankAmerica Corp."	0.136419
"Times Co."	0.134901
Chevron	0.134387
"Deutsche Bank AG"	0.131948
"Ford Motor Company"	0.131171
"Wine Institute"	0.128322
"Hearst Corporation"	0.127546
"CBS Corp."	0.127441
"General Electric Co."	0.126196
"UAL Corp."	0.126054
"American International Group"	0.12557
"Wells Fargo"	0.124673
"Seagram Co."	0.124285
Publicis	0.123747
"BellSouth Corp."	0.123087
"Royal Dutch/Shell"	0.122391
"Sydney Organizing Committee"	0.121892
"Citigroup Inc."	0.120774
"Chase Manhattan Corp."	0.118465
"American Association of Health Plans"	0.117372
"Prudential Insurance Co."	0.116556
"Con Edison"	0.116258
"Pepsico Inc."	0.115393
"Health and Human Services Department"	0.113906
"Texas Department of Public Safety"	0.113309
Federated	0.112585
"Boston Scientific"	0.112539
"Levi Strauss"	0.111706
"National Republican Congressional Committee"	0.11165
"Halliburton Co."	0.111322
"MindSpring Enterprises"	0.11131
"Delta Air Lines"	0.111055
"SBC Communications Inc."	0.110995
"Bertelsmann AG"	0.110464
"Air Transport Association"	0.11023
"Warner-Lambert Co."	0.109126
"Department of Public Safety"	0.108829
"Volkswagen AG"	0.108276
"Philip Morris Cos."	0.108217
Pepsico	0.107719
"Bank of America"	0.107196
Omnicom	0.106943
Primedia	0.10656
"Sony Corp."	0.10644
"Daimlerchrysler AG"	0.106316
BankAmerica	0.10622
"Hearst Corp."	0.105044
Hasbro	0.104508
"Atlantic Richfield"	0.104003
AIG	0.103617
"UBS AG"	0.103591
YankeeNets	0.103191
"Securities Industry Association"	0.102638
"RJR Nabisco"	0.102246
"Monsanto Co."	0.102007
"National Federation"	0.101938
"National Semiconductor"	0.101894
"Fleet Financial Group"	0.101732
"Northeast Utilities"	0.10157
"Kraft Foods"	0.10143
"Aetna Inc."	0.101315
Cablevision	0.100449
"Siemens AG"	0.100406
SAirGroup	0.0999417
"Airport Authority"	0.0994874
"Department of Environmental Conservation"	0.099276
"Hyundai Group"	0.0990825
"Hughes Electronics"	0.0986748
"National Trust"	0.0983216
"Bankers Trust Corp."	0.0982534
Unilever	0.0980551
"Procter &AMP; Gamble Co."	0.0976524
"Ford Motor Co."	0.0975973
"Symantec Corp."	0.097155
"U.S. Immigration and Naturalization Service"	0.0970525
"Continental Airlines"	0.0968043
"GE Capital"	0.0964226
"HBO &AMP; Co."	0.0960031
"First Union Corp."	0.0959554
"National Association of Securities Dealers"	0.095893
"Cisco Systems Inc."	0.0956025
"BP Amoco"	0.0955465
"Gillette Co."	0.0950484
"Time Inc."	0.0946901
"National Grid"	0.0945416
"Bank of Montreal"	0.0942393
"Nature Conservancy"	0.0938746
"Coca-Cola Enterprises"	0.093192
"British Telecom"	0.093146
"News Corp."	0.0928339
"Cadbury Schweppes"	0.0927081
"CMGI Inc."	0.0927006
"Charles Schwab &AMP; Co."	0.0926646
"General Motors Corp."	0.0923999
"Ford Motor"	0.092274
"Reed Elsevier"	0.0920914
"Travelers Group"	0.0920522
"Goldman Sachs Group"	0.0917593
"Merrill Lynch &AMP; Co."	0.0916881
GEC	0.0915862
"Allied Pilots Association"	0.0908267
Genzyme	0.0907528
Eximbank	0.0906805
"Metropolitan Transportation Authority"	0.090473
"Tribune Co."	0.0904366
"Dell Computer Corp."	0.0902704
"Knight Ridder"	0.0901064
AMR	0.0898677
"Chase Manhattan Bank"	0.0896595
Interpublic	0.0895066
"Bell Atlantic Corp."	0.0888306
GANNETT	0.0888089
"National Association"	0.088321
"Recording Industry Association of America"	0.0877229
Halliburton	0.0874694
"Air Line Pilots Association"	0.0874655
"British Airways"	0.0872782
"Hewlett-Packard Co."	0.0870939
"Brown &AMP; Williamson Tobacco Corp."	0.0870457
Instinet	0.086953
ICBC	0.0868855
"MCI WorldCom"	0.0866215
"International Business Machines Corp."	0.0865368
"Pfizer Inc."	0.0864253
"Sara Lee"	0.0863896
CNET	0.0862629
Citicorp	0.0861838
"Volvo AB"	0.0860692
Aetna	0.0859151
"Pacific Exchange"	0.0856677
Bertelsmann	0.0854525
WPP	0.0854088
"Communications Workers of America"	0.0852992
"Glaxo Wellcome"	0.0851201
UAL	0.0850242
"Compaq Computer"	0.0839525
"Charles Schwab"	0.0835867
"English Football Association"	0.083562
"Philip Morris"	0.0835393
ARCO	0.0835045
"Southern Co."	0.083168
"Port Authority of New York"	0.083136
"Koch Industries"	0.0831211
HKMA	0.0830155
"American Home Products"	0.0828876
"Handgun Control Inc."	0.0828803
"Johnson &AMP; Johnson"	0.0828441
"Network Associates"	0.0827809
"Fidelity Investments"	0.0824497
PETROBRAS	0.0823949
"Hong Kong Telecom"	0.0822616
McKesson	0.0817532
"Aetna U.S. Healthcare"	0.0817361
"Democratic Congressional Campaign Committee"	0.0817245
AstraZeneca	0.0817184
Citigroup	0.0817115
"Enron Corp."	0.0815609
Novartis	0.0814112
Viacom	0.0811677
"Cuban American National Foundation"	0.081103
Lucent	0.0804453
"Walt Disney Co."	0.080379
Litton	0.080367
"Thermo Electron"	0.0802925
"Berkshire Hathaway"	0.0800661
"Time Warner Inc."	0.0798797
"American Bankers Association"	0.0798015
"Handgun Control"	0.0796909
"Oracle Corp."	0.079655
China.com	0.0795029
Mattel	0.0792161
"Exxon Mobil"	0.0791713
"Human Rights Campaign"	0.0786997
Corning	0.0785417
"Dow Chemical"	0.0783265
"American Petroleum Institute"	0.0783045
Yukos	0.0780384
"General Electric"	0.0777734
"Bristol-Myers Squibb"	0.0776691
"Y&AMP;R"	0.0773948
"Electronic Frontier Foundation"	0.0772798
"China Eastern Airlines"	0.077269
"Democratic Senatorial Campaign Committee"	0.0771443
"Lockheed Martin Corp."	0.0771265
Webvan	0.0771201
))
(Chevy (desc 9696.62) (sims
Chevrolet	0.248183
Oldsmobile	0.153107
Buick	0.149551
"Chevrolet Monte Carlo"	0.14648
Cadillac	0.130439
GMC	0.118186
Pontiac	0.112282
Chevys	0.112183
dodge	0.110541
"Ford Taurus"	0.108673
Mazda	0.10116
Isuzu	0.096531
Toyota	0.0964126
Mercedes	0.0959107
Lexus	0.0951846
Saab	0.0895278
Audi	0.0894942
"Mercedes Benz"	0.085403
Porsche	0.0848388
Volvo	0.0835262
Pontiacs	0.0831326
Taurus	0.0825155
"pickup truck"	0.080806
"Busch Grand National"	0.0807268
Subaru	0.0803593
Honda	0.0801746
Mercedes-Benz	0.0801285
forklift	0.080113
Chrysler	0.0796337
VW	0.0781904
BMW	0.0776468
Saturn	0.0771691
jeep	0.076089
Ford	0.0743695
Mitsubishi	0.073756
S@@	0.0728727
"Lincoln Town Car"	0.0723201
"Ford Focus"	0.0721582
G.M	0.0714856
Mustang	0.0702727
minivan	0.0702334
DeVille	0.0702288
S-@@	0.0696587
Nissan	0.0695548
Sedan	0.0687979
corvette	0.0687305
Opel	0.0684476
Ferrari	0.0677346
"Honda Civic"	0.0672376
Silverado	0.0671539
V@@	0.0669021
pickup	0.066459
Peugeot	0.0664164
convertible	0.065847
Jetta	0.065617
Roush	0.0650899
Thunderbird	0.0645653
minivans	0.0645597
Acura	0.0645443
SUV	0.0636553
wrecker	0.0634387
Harley-Davidson	0.0631735
Volkswagen	0.0628484
"station wagon"	0.062031
impala	0.0618033
RV	0.061243
Prius	0.0609821
Buicks	0.0609226
Infiniti	0.0608802
taxicab	0.059161
subcompact	0.0591324
"race car"	0.0591074
Passat	0.0590609
"stock car"	0.0589681
"Toyota Corolla"	0.058948
"tractor trailer"	0.0579563
van	0.0579206
Jaguar	0.0573714
Camaro	0.0569397
Hendrick	0.0568485
F-@@@	0.0563322
"Ford Escort"	0.0561364
"General Motors"	0.0560322
"Volkswagen Beetle"	0.0557121
Fiat	0.0556747
Hummer	0.0554875
V-@@	0.0554259
"Land Rover"	0.0547858
"electric car"	0.0546013
McLaren-Mercedes	0.0541008
"patrol car"	0.0538031
"NASCAR Winston Cup"	0.0533621
roadster	0.0531665
Cadillacs	0.0529996
hatchback	0.0526274
GM	0.0521333
V@	0.0520188
minibus	0.0517622
Coupe	0.0510207
Rockefellers	0.0510015
Firestone	0.0508846
Labonte	0.0502555
snowplow	0.0499399
cab	0.0498606
limousine	0.0496443
Penske	0.0496327
Busch	0.0495567
Z@@	0.0493796
midsize	0.0492767
Harley	0.0488965
dealership	0.048663
"Top Fuel"	0.0484505
"Dick Trickle"	0.0483159
Hyundai	0.0480628
"piece of cloth"	0.0479149
hearse	0.0477558
Bentley	0.0477356
Miata	0.0476579
V-@	0.0475383
Citroen	0.0471332
Limo	0.0469046
IRL	0.0468052
"Jeep Cherokee"	0.0463609
Bridgestone	0.0461956
Plymouth	0.0458762
Bridgestone/Firestone	0.045378
SUVs	0.0453753
Corolla	0.0453688
"Funny Car"	0.0450939
"garbage truck"	0.0450451
Godolphin	0.0448119
"Ford Explorer"	0.0447649
hauler	0.0447456
Renault	0.0446768
"Range Rover"	0.044668
"police car"	0.0442931
"police van"	0.0441042
tractor	0.044047
Rolls-Royce	0.0439121
Lincoln	0.0438773
"Dale Jr."	0.0435707
neon	0.04355
McLaren	0.0434376
speedboat	0.0433867
tricycle	0.043378
"Rolls Royce"	0.0433223
C@@	0.0431388
Earnhardt	0.0430913
Skoda	0.0430621
MG	0.0430359
"dump truck"	0.042987
Foyt	0.0428622
"Dale Earnhardt"	0.0428469
"Honda Accord"	0.0427037
"school bus"	0.0426571
"fire truck"	0.0426531
"racing car"	0.0425571
"Chronicle Publishing"	0.042383
Springbok	0.0421824
"compact car"	0.0421212
rover	0.0421071
Reynard	0.0419999
"Busch Series"	0.041939
powerboat	0.0419025
Pinto	0.0418676
taxi	0.0418603
mercury	0.041845
"Lincoln Navigator"	0.0416234
"bus company"	0.0415577
"mobile home"	0.0415503
DaimlerChrysler	0.0410482
"Winston Cup"	0.0410044
"Motor Speedway"	0.0409706
"hot rod"	0.0409635
"Roush Racing"	0.0409052
Maxima	0.0407819
cart	0.0406783
"dinner plate"	0.0405081
Motorcycle	0.0401636
))
("Chevy Chase" (desc 2346.3) (sims
"Dan Aykroyd"	0.143177
"Robert DeNiro"	0.141195
"John Belushi"	0.141015
"Lily Tomlin"	0.13123
"Richard Dreyfuss"	0.126229
"Martin Short"	0.125863
Wheaton	0.121975
"Steve Martin"	0.117857
"David Spade"	0.117821
"Silver Spring"	0.114416
"Robin Williams"	0.11281
"Martin Lawrence"	0.111675
"Gene Hackman"	0.110615
"Johnny Depp"	0.107962
"Matthew Broderick"	0.107684
"Christopher Reeve"	0.106959
"Mark Wahlberg"	0.10541
"Rob Lowe"	0.104826
"Richard Gere"	0.104454
"Gregory Peck"	0.10317
"Tom Selleck"	0.101937
"Alec Baldwin"	0.101471
"Matthew McConaughey"	0.0991957
"Cuba Gooding Jr."	0.0991159
"Nathan Lane"	0.0979748
Bethesda	0.0974198
"Martin Sheen"	0.0972848
Riverdale	0.0968842
"Eddie Murphy"	0.0968611
"Kevin Bacon"	0.096567
"Patrick Stewart"	0.0963689
"Michael Caine"	0.0944832
"Sidney Poitier"	0.0939772
Kensington	0.0938276
"Geoffrey Rush"	0.093809
"Whoopi Goldberg"	0.0932098
"Jack Lemmon"	0.0930141
"Paul Newman"	0.0919278
"Richard Pryor"	0.0913624
"Kevin Costner"	0.0910547
"Robert Downey Jr."	0.0905435
"Vanessa Redgrave"	0.0901803
"Harrison Ford"	0.0901703
"Edward Norton"	0.0897052
"Jeremy Irons"	0.0892118
"Joan Allen"	0.0882409
"Jim Carrey"	0.0881245
"Robert de Niro"	0.0879436
"Helen Mirren"	0.086445
"John Malkovich"	0.0863335
"Ben Affleck"	0.0856854
"Frances McDormand"	0.0850929
"Wesley Snipes"	0.0850339
Rockville	0.0849017
"Jon Voight"	0.0848693
"Bill Murray"	0.0843674
Potomac	0.0836894
"Crystal City"	0.0834218
"Hollywood Hills"	0.0832536
"William Shatner"	0.0826145
"Emily Watson"	0.0825934
"Brad Pitt"	0.082514
"George Carlin"	0.0817229
"Tom Hanks"	0.0816383
"Chris Rock"	0.0813671
"Clint Eastwood"	0.081198
"Hugh Grant"	0.0799534
"Omar Epps"	0.0797068
"Roberto Benigni"	0.0796286
"John Goodman"	0.0786185
"Sean Penn"	0.0785989
Brentwood	0.077309
"Alicia Silverstone"	0.0770376
"Brian Dennehy"	0.0770056
"John Travolta"	0.0769727
"James Woods"	0.0762256
"Joseph Fiennes"	0.0761724
"New Rochelle"	0.0760418
"Sean Connery"	0.0759581
"Aidan Quinn"	0.0759552
"Russell Crowe"	0.0759183
"Kevin Kline"	0.0759063
"Tom Cruise"	0.0756386
"Henry Fonda"	0.0755395
"Jerry Seinfeld"	0.0755284
Montclair	0.0752918
"William H. Macy"	0.0750636
"Ethan Hawke"	0.0748629
"JOHN TURTURRO"	0.0747799
"Stanley Tucci"	0.0743891
"Burt Reynolds"	0.0743523
"Jimmy Smits"	0.0740525
"Pacific Palisades"	0.0740518
Annapolis	0.0739742
"Tommy Lee Jones"	0.073851
"Bette Midler"	0.0734796
"Charlton Heston"	0.0733923
"David Arquette"	0.0733627
"Matt Damon"	0.0729718
"Jodie Foster"	0.0726081
"Michael Douglas"	0.0725127
"Bill Cosby"	0.0724957
"Mill Valley"	0.0721854
"Christian Slater"	0.0721007
"Fort Lee"	0.0718442
"Sally Field"	0.0717937
"Robert Redford"	0.0716556
"New Canaan"	0.0716178
"Bruce Willis"	0.0712939
"Meg Ryan"	0.0711823
"Laurence Fishburne"	0.0707457
"John Cleese"	0.0707276
Englewood	0.0706918
"Marlon Brando"	0.0706915
"Jeff Bridges"	0.070689
"Dennis Hopper"	0.0704984
"Bel Air"	0.0703414
"Susan Sarandon"	0.0701915
"AL PACINO"	0.0701732
"Palm Beach Gardens"	0.0699024
"Carol Burnett"	0.069507
"College Park"	0.069472
"Antonio Banderas"	0.069224
"Natalie Portman"	0.0691944
"Norm MacDonald"	0.0690661
"Dustin Hoffman"	0.0690384
"Billy Crystal"	0.0685571
"Warren Beatty"	0.0680267
Carmel	0.0680227
"Great Neck"	0.0678501
"Liam Neeson"	0.0676655
"Chow Yun-Fat"	0.0674463
"William Hurt"	0.0666654
"Harvey Keitel"	0.0666338
Salisbury	0.0664774
Needham	0.0664401
"Gabriel Byrne"	0.0662534
"Tim Allen"	0.0660931
"Cameron Diaz"	0.0659334
"Michelle Pfeiffer"	0.0653272
"Kevin Spacey"	0.0652858
"Demi Moore"	0.0652343
"Jack Nicholson"	0.0651341
"Simi Valley"	0.0647462
"Rupert Everett"	0.0646966
"Vivien Leigh"	0.0643819
"Ted Danson"	0.0643228
"Tim Robbins"	0.0642862
"Dennis Quaid"	0.0641992
"Melanie Griffith"	0.0641066
"Ralph Fiennes"	0.0639563
Cumberland	0.0636714
"Goldie Hawn"	0.0635955
"Leelee Sobieski"	0.0635656
"Brenda Blethyn"	0.0630531
"Jennifer Love Hewitt"	0.0627676
Broderick	0.062412
Bridgehampton	0.0623243
Chappaqua	0.0620329
"David Duchovny"	0.0619693
"Garry Shandling"	0.061956
"Albert Brooks"	0.0617157
Cleese	0.0613587
Scarsdale	0.0612674
"Arnold Schwarzenegger"	0.061036
Easton	0.0610331
"Ben Stiller"	0.0609705
"Angela Bassett"	0.0607371
"Denzel Washington"	0.060722
Leawood	0.0606241
"James Earl Jones"	0.0604528
Ballymoney	0.0604427
"Woody Harrelson"	0.0604301
"Ian Holm"	0.0603508
"George Clooney"	0.0603477
"John Lithgow"	0.060324
"Sela Ward"	0.0602324
"Kris Kristofferson"	0.06011
"Claire Danes"	0.059895
"Jon Stewart"	0.0598893
Aberdeen	0.05987
"Catherine Deneuve"	0.0596534
Costner	0.0595037
"Michael J. Fox"	0.0594431
"Huntington Beach"	0.0593064
"James Van Der Beek"	0.0592478
Irvington	0.0592383
"Ocean City"	0.0590438
"Geena Davis"	0.0588214
"Holly Hunter"	0.0586245
"Paradise Valley"	0.0585828
"John Wayne"	0.0583254
"Julia Roberts"	0.0582591
"Christopher Walken"	0.0582517
"Jay Mohr"	0.0580885
"Dennis Miller"	0.0580762
"Danny DeVito"	0.0579432
Frederick	0.0578587
"Bernadette Peters"	0.0578115
Westport	0.0577782
))
(Chevys (desc 1244.1) (sims
Pontiacs	0.235868
Buicks	0.224559
Cadillacs	0.15554
G.M	0.126233
Daimler-Chrysler	0.113676
Rockefellers	0.113475
Chevy	0.112183
Heche	0.112058
Bridgestone/Firestone	0.11005
Bayh	0.10736
Bridgestone	0.0981931
"Mercedes Benz"	0.0962221
Opel	0.0889303
Ferraris	0.0866098
minibuses	0.0814346
Chevrolet	0.0813952
"Council of Economic Advisers"	0.0813945
BMWs	0.0805073
sport-utility	0.0788419
"Land Cruiser"	0.074788
"robbery suspect"	0.0746586
Pontiac	0.073313
Rockefeller	0.0722922
"Anne Heche"	0.0720679
VISTEON	0.0719389
"Ford Expedition"	0.0698926
Picassos	0.069273
sherpas	0.0685417
Roush	0.0677456
"Ryder Cups"	0.0668544
UAW	0.066743
Dutchmen	0.066668
"Jeremy Mayfield"	0.0656894
A@@@s	0.064638
Garbo	0.063055
knucklehead	0.0621851
"lawn mower"	0.0619107
supercomputers	0.0616401
upperclassmen	0.0616288
spacewalkers	0.0613503
Buss	0.0610668
bruiser	0.0603915
"Final Fours"	0.0595966
Humvees	0.0584917
carload	0.0584707
chairlift	0.0584577
SUVs	0.0580632
Citroen	0.0576152
mini-vans	0.0575792
wideouts	0.057571
fella	0.0573382
"transport ship"	0.0567556
"snake oil"	0.0566259
Klansmen	0.056555
near-misses	0.0564532
clunker	0.0563191
Legos	0.0560409
Prius	0.0560344
motorbike	0.0555405
"National Semiconductor"	0.0552551
pluses	0.0550737
postseasons	0.05482
"car maker"	0.0546597
"British Opens"	0.0546273
"word of advice"	0.0545939
Frenchmen	0.0545694
lawnmower	0.0542447
"ball field"	0.0541424
"All-Star Games"	0.0539084
Englishmen	0.0537597
"Running Stag"	0.0537555
lassie	0.053739
"fire truck"	0.0537289
"knockout punch"	0.0527068
verity	0.0526807
drugmakers	0.0523794
Opens	0.0523056
minivans	0.0521476
Miata	0.0519965
"break of serve"	0.0518921
webcams	0.0518822
GMC	0.0517318
Westbrook	0.0516336
Furbys	0.0516071
"Ford Taurus"	0.0515286
"railway car"	0.0515063
SUV	0.0513842
"fire engine"	0.051082
"No. @s"	0.0508842
Samuelson	0.0508596
"house guest"	0.0502496
"soda fountain"	0.0501401
QBs	0.0500854
no-decisions	0.0500009
"Ford Escort"	0.0498295
skydiver	0.0498277
"Parent Trap"	0.049768
"garbage truck"	0.0496466
ballgames	0.0495935
crewmembers	0.0494341
bogy	0.0493629
oxen	0.0493175
VW	0.0492536
"margin call"	0.0490795
Anglos	0.0489761
DeVille	0.0488756
"Ford Focus"	0.0488206
"PT Cruiser"	0.0488071
revers	0.0486596
par-@s	0.0483756
"stock car"	0.048354
joker	0.0483189
"major-league team"	0.0481752
"Gold Gloves"	0.0481195
hubcap	0.0480421
years.	0.0480369
"Baby Bells"	0.0479271
Irishmen	0.0476496
Audi	0.047519
mini-van	0.0473268
freebies	0.0473171
chaebol	0.0472779
great-grandchildren	0.0472219
"supporting players"	0.0471498
punchline	0.0470252
"four lines"	0.0469728
busload	0.0468691
"entitlement program"	0.0466983
"Thomson Multimedia"	0.0466414
snowplow	0.0465961
"Dick Trickle"	0.0465922
Harley-Davidson	0.0464639
Powerbook	0.0464255
forklift	0.0463855
"bus company"	0.04633
"pain in the neck"	0.0462903
"Windows @.@"	0.0461425
stepchildren	0.0460655
bargainer	0.0457578
"railroad car"	0.0457483
"U.S. Opens"	0.0457371
curveballs	0.0456727
"Rolls Royce"	0.0455198
"computer language"	0.0454395
"Pennsylvania Station"	0.045194
"Chevrolet Monte Carlo"	0.0451473
"Toyota Corolla"	0.0450313
Harley	0.0449114
midfielders	0.0448995
"rescue equipment"	0.0448798
"pleasure boat"	0.044847
"service break"	0.044692
"Volkswagen Beetle"	0.0446348
"Red Star"	0.044599
spacewalks	0.0445803
sis	0.044557
piling	0.0443878
miscreant	0.0443792
"cable car"	0.0443264
proletariat	0.0443121
Stagecoach	0.0442013
nonwhites	0.0441223
semitrailer	0.0439146
bobsled	0.0438444
Camaro	0.0438213
"Texas Democrats"	0.0437849
"Ian Wright"	0.0437839
hypotheses	0.0437592
Buick	0.0437139
riverboats	0.0433244
passersby	0.0431245
"commuter train"	0.0430015
ex-convicts	0.0429638
"Joe Kleine"	0.0428612
blinder	0.0427992
"power unit"	0.0426301
fearlessness	0.0426279
fifths	0.0425854
mushers	0.0425175
carmakers	0.0424981
gelding	0.0424581
census-takers	0.0424521
"bank rate"	0.0423689
Pillars	0.0423438
MiGs	0.0423182
"space walk"	0.0421914
turnoff	0.042184
tractor-trailers	0.0421584
"flight of stairs"	0.0420995
"patrol ship"	0.0420924
spec	0.0419539
Hummer	0.0419173
seasons.	0.0418985
co-leaders	0.0418356
minicamps	0.0414696
thoroughbred	0.0413572
"Kosovo Serbs"	0.0413289
baserunners	0.0413286
"Pulitzer Prizes"	0.041282
"moving van"	0.041237
))
(chew (desc 2475.5) (sims
chewing	0.0889973
double-click	0.069695
snuff	0.0640119
PVC	0.0566823
Yazdi	0.0535175
Trident	0.0518332
snuck	0.0505983
"Beanie Baby"	0.0501542
poop	0.0492604
right-click	0.0487738
Kalejs	0.0486457
Jayakumar	0.0468001
Cavallo	0.0462412
banging	0.046073
Kiareldeen	0.0452591
chap	0.0435025
Shamshad	0.0426842
mallet	0.0426041
pressman	0.0418147
Mattysse	0.0408589
Ruehe	0.0407644
Abbas	0.0400848
))
(chewing (desc 3309.26) (sims
Burley	0.0839082
sucking	0.0637812
soaking	0.0513288
"fox hunting"	0.0487261
"R.J Reynolds"	0.0482252
flue	0.0482123
eraser	0.046574
eating	0.0449057
"foot traffic"	0.0432639
chipping	0.042942
"running play"	0.0424471
"chewing gum"	0.0421414
filtering	0.041457
feeler	0.0412211
sealing	0.0410352
dribbling	0.0408585
scraping	0.0403924
"Montreal Protocol"	0.0403164
whipping	0.0402692
gliding	0.040171
inundation	0.040103
VCs	0.0400587
))
("chewing gum" (desc 4551.04) (sims
gum	0.176906
"bubble gum"	0.11157
candy	0.0878255
"soft drink"	0.0810776
"alcoholic beverage"	0.0792254
deodorant	0.0782804
margarine	0.0779142
beverage	0.0748103
"pet food"	0.0741276
shampoo	0.0735597
"motor oil"	0.0734463
Kleenex	0.0730836
licorice	0.070652
"ice cream"	0.0701606
soda	0.0692885
"snack food"	0.0692169
toothpaste	0.0691093
cigarette	0.0686262
"soda pop"	0.068275
condom	0.0679914
inhaler	0.0670161
"specialty chemical"	0.0669427
"trading card"	0.0667228
cola	0.0664768
"baked goods"	0.066315
toiletry	0.066222
cookware	0.0660061
"dairy product"	0.0658031
snack	0.0656741
Propulsid	0.0656383
Twinkies	0.0650184
generics	0.0649742
"razor blade"	0.0645088
cracker	0.0643291
pretzel	0.0639999
cosmetic	0.0637162
"consumer product"	0.0631023
"computer hardware"	0.0628336
"toilet paper"	0.0624152
copier	0.0620906
"root beer"	0.0619573
"coloring book"	0.0613931
toothbrush	0.0607652
"golf equipment"	0.0601794
biscuit	0.0601275
suture	0.0593658
"household appliance"	0.0590068
"shaving cream"	0.05872
"computer equipment"	0.0583994
ointment	0.0578343
"household product"	0.0577145
popcorn	0.0577021
liquor	0.0576606
"office furniture"	0.0575322
vitamin	0.0572134
"consumer electronics"	0.0569572
saline	0.0559714
"cat food"	0.0547331
"baseball card"	0.0546041
ginseng	0.0543125
razor	0.0541416
Swimwear	0.0535145
ketchup	0.0533832
"fiber optics"	0.053206
aspirin	0.0531673
tableware	0.0531505
"greeting card"	0.0527526
footwear	0.0518977
cooky	0.0517601
Marlboros	0.0517242
soap	0.0514909
"potato chip"	0.0514301
mouthwash	0.0514295
appliance	0.050534
TCM	0.0505158
"hot dog"	0.0504278
cob	0.0503593
stationery	0.0501095
"M&AMP;Ms"	0.0499357
perfume	0.0498508
"tissue paper"	0.0493432
cookie	0.0492759
diaper	0.0492452
detergent	0.0491544
"memory chip"	0.0488448
timepiece	0.0483857
"paper cup"	0.0482594
"sports equipment"	0.0481502
wristwatch	0.0480394
syringe	0.0478711
vodka	0.0477499
"breast implant"	0.0475624
"hand-held computer"	0.0474341
"sparkling wine"	0.0473683
Marlboro	0.047358
supercomputer	0.0473079
"sunflower seed"	0.0471328
"cellular telephone"	0.0470193
lotion	0.0469266
Avonex	0.0468407
apparel	0.0467765
handset	0.0466458
"candy bar"	0.0465675
"water heater"	0.04648
noodle	0.046387
"dollar bill"	0.0462904
"hand tool"	0.0461814
"aircraft engine"	0.0461551
flooring	0.0459772
"fruit juice"	0.0459538
Budweiser	0.0459293
"California wine"	0.0458001
Cigar	0.0457752
"salad dressing"	0.0454579
tabletop	0.0453452
cereal	0.0453152
"mainframe computer"	0.0452343
peripheral	0.0451967
"power tool"	0.045183
"hearing aid"	0.0450795
"compact disk"	0.0450583
wrecker	0.0448418
Kool-Aid	0.0447521
"magnetic resonance imaging"	0.0446382
Unix	0.044459
"home appliance"	0.0443794
"M&AMP;M"	0.0438754
Tylenol	0.0438752
lozenge	0.0437165
"tortilla chip"	0.0436882
videogame	0.0435137
"Christmas card"	0.0434993
flavoring	0.0433282
lemonade	0.0432734
"playing card"	0.0432278
sportswear	0.0431442
"circuit board"	0.0430618
contraceptive	0.0429539
ephedra	0.0429363
underwear	0.0428982
VCD	0.0428744
"Cadbury Schweppes"	0.0427765
pickle	0.0427418
sausage	0.0427233
Orangina	0.0427178
"storage device"	0.042714
Wheaties	0.0427019
"iced tea"	0.0426062
chewing	0.0421414
"building product"	0.0417887
lollipop	0.0417118
"skin care"	0.0416366
"tin can"	0.0416003
"Pepsi Cola"	0.0413599
"cotton candy"	0.0412773
Pacifier	0.0412768
"musical instrument"	0.0412602
"life insurance"	0.0411714
crayon	0.0411028
"milk chocolate"	0.0410669
"french fries"	0.0409796
mower	0.0409692
"scientific instrument"	0.040871
Levi's	0.0408522
"communications equipment"	0.0408021
"cigarette lighter"	0.0406706
"paper towel"	0.04062
sandpaper	0.0405541
"sewing machine"	0.040521
sushi	0.0404203
"Coca Cola"	0.0402665
"board game"	0.0401422
"disk drive"	0.0400903
))
(Cheyenne (desc 2947.46) (sims
Casper	0.112447
Laramie	0.0947478
Sheridan	0.0864002
Sioux	0.0847014
"Dallas-Fort Worth"	0.0806312
Seminole	0.0759841
Mohawk	0.0691817
Navajo	0.0683789
Makah	0.0642065
Iroquois	0.0627734
Maasai	0.0618201
Spokane	0.0603054
"Yellowstone National Park"	0.0596169
Maori	0.0594814
CHEROKEE	0.0590533
Pueblo	0.0587208
"Grand Junction"	0.0545975
Yellowstone	0.0541977
Omaha	0.0513726
Apache	0.0501583
Custer	0.0497103
Albuquerque	0.049375
Hopi	0.0485394
"Cedar Rapids"	0.0464797
Mujahideen	0.0449123
Topeka	0.0445541
ninja	0.0444368
PNP	0.0442752
Galveston	0.0439343
"Henry Ford"	0.0434099
mujahedeen	0.04295
Boise	0.042887
Waterloo	0.0427962
"Mary J. Blige"	0.0421945
Wichita	0.041884
"Colorado Springs"	0.041351
Bridgeport	0.0412616
Cho	0.0411915
Pecos	0.0410345
Decani	0.040934
Heathrow	0.0409086
Magee	0.0408315
Oneida	0.0405962
"Washington D.C."	0.0403218
))
("Chez Panisse" (desc 1636.96) (sims
Spago	0.24358
"Le Bernardin"	0.196886
"Le Cirque @@@@"	0.1123
"Betty Crocker"	0.109595
"Rainbow Room"	0.104344
"Defense Fund"	0.103427
Ritz-Carlton	0.0959181
ritz	0.0922074
"Kentucky Fried Chicken"	0.090773
bistro	0.0847048
"tea house"	0.0797514
"Union Pacific"	0.0750232
"black cat"	0.0742276
Waldorf-Astoria	0.0727846
hooter	0.0725658
Brasserie	0.0713158
gourmet	0.0711404
aqua	0.0679973
"Seasons Hotel"	0.0664715
Tabla	0.0647678
"Cedar Lodge"	0.0638288
Savoy	0.0628258
bookshop	0.0621846
"Colonial Williamsburg"	0.0610569
McDonalds	0.0607014
"Taco Bell"	0.0596493
"liquor store"	0.059216
Steakhouse	0.0587719
tavern	0.0587455
spas	0.0583893
"beauty shop"	0.0580503
"University of Notre Dame"	0.0571237
Provencal	0.0565357
"coffee shop"	0.0547149
"tourist hotel"	0.0528251
"Burger King"	0.0526734
"supper club"	0.0517841
Pillsbury	0.0517789
"Bell Labs"	0.0508239
"first school"	0.050458
"Julia Child"	0.049741
Tribeca	0.0492299
"Sustainable Development"	0.0489508
"Left Bank"	0.0483249
"Dairy Queen"	0.0483142
"Waffle House"	0.0480218
Jell-O	0.0479643
sit-down	0.04747
"retail store"	0.0468288
cooker	0.0467892
"Ritz-Carlton Hotel"	0.0460993
Drexel	0.0460456
"toy store"	0.0458941
Michelin	0.0455751
KFC	0.0447474
Cajun	0.044499
"Pizza Hut"	0.0443911
"World Congress"	0.0443797
self-service	0.0443562
"yacht club"	0.0443285
"butcher shop"	0.0443172
Marriott	0.0442171
"Hilton Hotel"	0.0441193
"Asia Society"	0.043767
"Planet Hollywood"	0.0436387
noontime	0.0435496
"coffee bar"	0.0432641
delicatessen	0.0432215
"soup kitchen"	0.0432037
"Los Alamos National Laboratory"	0.0429715
granary	0.0429693
"bomb site"	0.0428152
YMCA	0.0427622
"health food"	0.0426661
"music school"	0.0425272
"morse code"	0.0423517
"Dulles International Airport"	0.0421699
CalTech	0.0417492
"clothing store"	0.0417197
cupcake	0.0415507
"bowling alley"	0.0413711
Williams-Sonoma	0.0413556
"Japanese Embassy"	0.0412108
smelter	0.0411334
"printing company"	0.041078
"Salomon Brothers"	0.0408678
"pizza parlor"	0.0402793
))
(Chi (desc 12065.8) (sims
Qiao	0.260221
Hu	0.251023
Fu	0.235494
Edm	0.221761
Qian	0.217736
phi	0.215723
Stl	0.213996
SJ	0.2106
Zou	0.204685
Ott	0.200188
BUF	0.199095
Rong	0.190995
Wu	0.190982
Velayati	0.188794
Det	0.187838
dal	0.180557
Zhu	0.180315
wen	0.176998
Tian	0.176146
Zeng	0.175959
Shi	0.175891
pho	0.175278
col	0.174827
Phieu	0.172655
Kasoulides	0.170853
Rifkind	0.169924
Li	0.165834
"de Charette"	0.165678
Stoyanov	0.162861
FLA	0.162224
Nzo	0.161976
Chissano	0.159947
Jia	0.159686
Ikeda	0.159427
tor	0.158966
Kharrazi	0.156849
Wei	0.155891
Khai	0.15569
Tsang	0.155085
Jayakumar	0.154885
Dini	0.154494
Mkapa	0.151925
Ana	0.151222
Jovanovic	0.149453
Zhang	0.147581
Jiang	0.147545
Guterres	0.146068
Mon	0.145671
Cem	0.144733
tang	0.143538
Niyazov	0.143389
Meguid	0.142109
"Li Peng"	0.141057
"Chi Haotian"	0.140827
Brittan	0.140448
Luo	0.139245
Lipponen	0.138171
Constantinescu	0.137176
Ikimi	0.136543
Siazon	0.136308
"Than Shwe"	0.13428
Moratinos	0.133143
Saleh	0.133128
Chavalit	0.132624
Pangalos	0.132327
"Maung Aye"	0.131608
Nazarbayev	0.131122
Buhe	0.130754
Vedrine	0.130517
Goh	0.130164
Sergeyev	0.129789
Nujoma	0.128146
Surin	0.127963
Santer	0.127928
Vice-Premier	0.127208
Klima	0.126332
Ruehe	0.124784
Granic	0.124416
Komura	0.1242
Kinkel	0.124006
Ivanov	0.122541
Kok	0.122196
Abdel-Meguid	0.122127
Tung	0.121818
"Zhang Wannian"	0.121549
Chiluba	0.121454
Kostov	0.120549
Luong	0.120461
Diouf	0.118535
Leghari	0.118497
Akayev	0.118149
Rodionov	0.117731
NA	0.117684
Liu	0.117669
Juncker	0.117391
Kono	0.11695
Yu	0.116549
Gurirab	0.116129
Moussa	0.116126
Ahtisaari	0.115647
Axworthy	0.115572
Khaddam	0.115352
Aziz	0.115153
Kabariti	0.114016
Wolfensohn	0.113801
Alatas	0.113765
Karimov	0.11369
Cao	0.111943
Chuan	0.111868
Boueiz	0.111709
"Luo Gan"	0.111513
Scalfaro	0.111089
Museveni	0.110713
Sumaye	0.109867
Dai	0.109471
Gujral	0.109435
Wang	0.109427
Insulza	0.109255
Majali	0.10924
Azad	0.108593
Xiong	0.108534
Iliescu	0.108428
Frei	0.10813
Ogata	0.10805
"Wang Hanbin"	0.107926
Hariri	0.107781
Deuba	0.107223
Chretien	0.106506
Vollebaek	0.106236
Wan	0.106193
"Liu Huaqing"	0.106192
Hasina	0.106175
Kwasniewski	0.106045
Cui	0.105897
Solana	0.105781
Camdessus	0.105652
Ben-Ami	0.104646
Shen	0.104494
Pickering	0.104486
Demirel	0.10417
"Wu Yi"	0.104105
Muoi	0.1036
LU	0.10354
"Khin Nyunt"	0.103426
Gaddafi	0.10304
Menem	0.10292
Chen	0.102643
Kyprianou	0.102635
"Jiang Chunyun"	0.101826
"Tian Jiyun"	0.101583
Ganzouri	0.101355
Rakhmonov	0.100376
Brundtland	0.100354
Zhou	0.099584
Muluzi	0.0995406
Dehaene	0.0993673
Chirac	0.0992627
Kuchma	0.0990287
"Song Jian"	0.0988529
Pustovoitenko	0.0986429
Bolger	0.0984158
Tarawneh	0.0984051
Shareh	0.0983827
Hrawi	0.0982732
Mubarak	0.098268
Hashimoto	0.0982211
Banharn	0.0979446
Xie	0.09733
Erekat	0.0970856
Shaath	0.0969402
"Tang Jiaxuan"	0.0967723
"Hu Jintao"	0.0966518
Mbeki	0.0962784
Downer	0.0961101
Kagame	0.0959468
Bellamy	0.0956595
Koo	0.0955005
Prodi	0.0953824
Zeroual	0.0953317
guo	0.0952062
Salim	0.0950625
Huang	0.0947474
Bulatovic	0.0946384
Qi	0.0946118
"Ismail Amat"	0.0940547
Brahimi	0.0934995
Narayanan	0.0932817
"Qian Qichen"	0.0931902
Lau	0.0930516
Stroyev	0.093021
Meles	0.0927931
Ecevit	0.0923942
Aliyev	0.0923237
Talbott	0.092232
al-Sahhaf	0.0921655
"Chen Muhua"	0.0917695
Kumaratunga	0.0917607
Klestil	0.0917465
Cohen	0.0913999
Sharaa	0.091252
))
("Chi Haotian" (desc 4453.96) (sims
"Zhang Wannian"	0.380115
"Wang Hanbin"	0.328204
"Jiang Chunyun"	0.321105
"Fu Quanyou"	0.284531
"Chen Muhua"	0.272437
"Song Jian"	0.264418
"Qian Qichen"	0.26021
"Tang Jiaxuan"	0.247883
"Luo Gan"	0.246491
"Tian Jiyun"	0.242167
"Igor Sergeyev"	0.241292
Buhe	0.237577
"Liu Huaqing"	0.23655
"Wu Yi"	0.236324
"Wang Guangying"	0.23457
"Zou Jiahua"	0.231311
"Li Lanqing"	0.231141
"Maung Aye"	0.228937
"Wan Guoquan"	0.224706
"Zeng Qinghong"	0.223356
"Wu Jieping"	0.22267
"Li Tieying"	0.219853
"Wang Zhaoguo"	0.20765
"Hu Jintao"	0.205629
"Cao Zhi"	0.205104
"Cheng Siwei"	0.204677
Vice-Premier	0.195061
"Peng Peiyun"	0.191875
"Zhou Guangzhao"	0.189864
Councillor	0.188404
"Wen Jiabao"	0.187673
"Lu Ping"	0.183029
"Wu Bangguo"	0.182686
"Ding Guangen"	0.182424
"Yu Yongbo"	0.178918
Fuling	0.174905
"Wei Jianxing"	0.16599
"Shi Guangsheng"	0.164014
"Xiong Guangkai"	0.161736
"Igor Ivanov"	0.160693
"Ismail Cem"	0.160044
"Zhu Rongji"	0.15995
"Joseph Ralston"	0.157811
"Than Shwe"	0.157286
"Li Peng"	0.155447
"Kamal Kharrazi"	0.151307
"Wang Zhongyu"	0.150455
"Khin Nyunt"	0.150009
"Lamberto Dini"	0.14969
"Ismail Amat"	0.147674
"Qian Weichang"	0.147523
"Vo Van Kiet"	0.146688
"Huang Ju"	0.146035
"Lei Jieqiong"	0.14312
"Jaswant Singh"	0.142164
"Goran Persson"	0.140946
"Goh Chok Tong"	0.140867
Chi	0.140827
"Abdullah Ahmad Badawi"	0.140689
"Chavalit Yongchaiyudh"	0.140427
Luli	0.140032
"Paul Kagame"	0.139319
"Cheng Kejie"	0.138046
"Qian Zhengying"	0.136844
"Qiao Shi"	0.135985
"Tin Oo"	0.13501
al-Khatib	0.134684
"State Councilor"	0.134392
"Dai Bingguo"	0.133397
el-Ganzouri	0.132905
"David Levy"	0.13207
"Paavo Lipponen"	0.131316
"Phan Van Khai"	0.131025
"Klaus Kinkel"	0.130368
al-Shara	0.125089
"Ivan Kostov"	0.12482
"Inder Kumar Gujral"	0.12456
"Robert Guei"	0.124252
"Chuan Leekpai"	0.124179
"Henry Shelton"	0.123822
"Zhu Lin"	0.123025
Shi	0.122822
"Jacques Chirac"	0.121504
"Wang Daohan"	0.121324
Tella	0.120464
vice-chairman	0.120283
"Yasser Abed Rabbo"	0.120006
"Oladipo Diya"	0.115947
"Jia Qinglin"	0.115226
"Bertie Ahern"	0.114732
"Radu Vasile"	0.114617
Qian	0.113855
"George Robertson"	0.113768
"Li Ruihuan"	0.113606
"Wim Kok"	0.113474
"Sartaj Aziz"	0.113468
Lipponen	0.113303
"Amr Moussa"	0.113272
al-Sahhaf	0.11306
Fu	0.112708
"John Bruton"	0.112511
"Hubert Vedrine"	0.111244
"Yitzhak Mordechai"	0.11106
"Mikulas Dzurinda"	0.110883
"Yoshiro Mori"	0.110033
Komura	0.110022
"Ung Huot"	0.109976
Karimov	0.109786
"Robin Cook"	0.109739
"Amnuay Virawan"	0.10949
"Victor Chernomyrdin"	0.109197
"Natan Sharansky"	0.108758
"Romano Prodi"	0.108659
"Atal Bihari Vajpayee"	0.108454
"Jerzy Buzek"	0.107853
Jayakumar	0.107731
Guterres	0.107595
"Suleyman Demirel"	0.107121
"Pervaiz Musharraf"	0.106829
Phieu	0.106655
"Abdul Karim Kabariti"	0.106523
Stoyanov	0.106474
Councilor	0.106359
Siazon	0.106261
"Mesut Yilmaz"	0.106157
"Joschka Fischer"	0.106149
"I.K Gujral"	0.105923
"Costas Simitis"	0.105841
"Henry H. Shelton"	0.105385
"Mikhail Kasyanov"	0.105126
"Abdulsalam Abubakar"	0.10482
Hu	0.103667
al-Sharaa	0.103456
"Lee Kuan Yew"	0.103342
"Ariel Sharon"	0.103316
"Atef Obeid"	0.103174
"Atal Behari Vajpayee"	0.102946
"Central Military Commission"	0.102901
Pangalos	0.102605
Sergeyev	0.10245
Al-Faisal	0.101613
Wiranto	0.101536
"Valery Pustovoitenko"	0.100781
"Jiang Zemin"	0.10076
Ivanov	0.100155
"Yevgeny Primakov"	0.100127
Nazarbayev	0.0997293
"Antonio Guterres"	0.0993448
"Koo Chen-fu"	0.0993318
"Bulent Ecevit"	0.0991122
"Li Zhaoxing"	0.0986568
"Yossi Sarid"	0.0982044
"Alberto Fujimori"	0.0980662
al-Sahaf	0.0977101
Tian	0.0974836
"Necmettin Erbakan"	0.0973118
Boueiz	0.0971432
"Yuri Maslyukov"	0.0970975
Dehaene	0.0970552
"Fernando Henrique Cardoso"	0.0967525
"Long Yongtu"	0.096711
"Le Kha Phieu"	0.0962487
"Abidine Ben Ali"	0.0961959
Juncker	0.096084
Moratinos	0.0960159
"Jean Chretien"	0.0960017
"Tim Fischer"	0.0958586
"William Cohen"	0.0955674
"de Charette"	0.0955604
"Salim Hoss"	0.095519
"Hugh Shelton"	0.0954666
"Jose Maria Aznar"	0.0951752
"Sergei Stepashin"	0.094715
"Lokendra Bahadur Chand"	0.0946176
"Fayez Tarawneh"	0.0942248
"Prince Saud Al-Faisal"	0.0942222
"Prime Minister Kamal El-Ganzouri"	0.0937464
Meguid	0.0936268
"Frederick Sumaye"	0.0935889
vice-chairmen	0.093357
Rifkind	0.0931332
"Supachai Panitchpakdi"	0.0926667
"Carlos Menem"	0.0923384
"Girija Prasad Koirala"	0.0920489
Kabariti	0.0917736
"Abdulsalami Abubakar"	0.0916651
Al-Sabah	0.0914214
"John Major"	0.0910359
Shareh	0.0906699
ACFTU	0.0903423
"Omar Torrijos"	0.0900902
"Pervez Musharraf"	0.0900061
"King Sihanouk"	0.089824
vice-president	0.0897039
"Benazir Bhutto"	0.0892386
"Jenny Shipley"	0.0891978
Kharrazi	0.0891894
Alatas	0.0890937
"Bashkim Fino"	0.0890477
Ikeda	0.0888173
))
(Chiang (desc 1951.24) (sims
Kai-shek	0.125101
Advani	0.0959426
Nkomo	0.0931743
Ruehe	0.0875559
Yastrzhembsky	0.0868234
Meguid	0.0866507
Dodik	0.0861986
Singson	0.0817341
Beazley	0.0784331
Aventajado	0.0776193
Guterres	0.0773439
Chavalit	0.0756761
Orban	0.074382
Gu	0.0724049
Shareh	0.0719064
Tsang	0.0718611
Pustovoitenko	0.071595
Nakamura	0.0712011
Kasoulides	0.0701654
Yazdi	0.0697628
Banharn	0.0693179
Murayama	0.068909
Blazevic	0.0686206
Deuba	0.068575
Raduyev	0.0677641
Venables	0.0675317
Fino	0.0674267
Tudjman	0.0672428
Chand	0.0671475
Meissner	0.0668132
Ahern	0.0663756
Ecevit	0.0661424
Aleman	0.0661151
Nano	0.0658891
Nickerson	0.0657652
Zapruder	0.0656273
Berlusconi	0.0656065
Surin	0.0655834
Koirala	0.0653923
Nemtsov	0.0650713
Schaeffer	0.064619
Byers	0.0640635
Rawabdeh	0.0639211
DiCarlo	0.0633577
Ikimi	0.0629871
"MaliVai Washington"	0.0627404
Juma	0.0626858
Buzek	0.0626536
Yin	0.0625417
Sheehan	0.0621463
"Robert Aventajado"	0.062129
Chuan	0.062126
Rosenberg	0.0619165
Protas	0.0619112
Sihanouk	0.0618683
Bulatovic	0.0618272
Boueiz	0.0618007
Naumann	0.0615911
Alarcon	0.0615832
Baum	0.0613807
Garang	0.0610998
Zia	0.060677
Hamid	0.0605628
Erbakan	0.0603789
Ghalib	0.0600349
Vasile	0.0599648
Edelstein	0.0596022
Ruthardt	0.0591703
Nazarbayev	0.0591022
Waigel	0.0589401
Rodionov	0.0589346
Levitt	0.0589346
Simitis	0.0589211
Zeman	0.0587524
Djukanovic	0.058741
Severino	0.058583
Moscoso	0.0585782
Gujral	0.0584442
Shevardnadze	0.0580455
"Dos Santos"	0.0580433
SUI	0.0580042
Gardiner	0.0578924
Kostov	0.0577388
Sutiyoso	0.0576712
Rabbani	0.0575786
"Lee Hsien Loong"	0.0573224
Arens	0.0572913
Maharaj	0.0572727
Tsvangirai	0.0572294
Rylander	0.0569886
Bronfman	0.0566826
Rifkind	0.0566751
Zuma	0.0566056
Jayakumar	0.0564793
Azad	0.0562684
Willard	0.0560746
Aznar	0.0560597
Massey	0.056044
Zou	0.0554586
Bidwill	0.0554268
Shinn	0.0553725
Velayati	0.0553711
Bishara	0.0550955
Fernandes	0.0549417
Chiluba	0.054854
Clerides	0.0547894
Markovic	0.0547299
Rais	0.0545904
Knapp	0.0543019
Garrity	0.0542202
Kaunda	0.0540706
Sumaye	0.0539894
Tella	0.0537894
Taft	0.0537355
Goff	0.0537212
Mkapa	0.0536956
Babcock	0.0536304
IEA	0.0533672
Christensen	0.0533587
Izetbegovic	0.0533298
Chappell	0.0533059
Gowda	0.053222
Guei	0.0531528
Rossello	0.053139
Marulanda	0.0530415
Majali	0.0528478
Shaath	0.0527552
Basayev	0.052743
Robson	0.0525998
Kok	0.0525983
Shahak	0.0525891
Tarawneh	0.0525516
Berri	0.0525495
Luzhkov	0.0524185
Stepashin	0.0523143
Lamberth	0.0523115
Amato	0.0521587
Benazir	0.0520579
Harmoko	0.0519997
McCombs	0.0519521
Camacho	0.0519229
Obeid	0.051857
Malu	0.0518166
Schuessel	0.051779
Kumaratunga	0.0517518
Luton	0.0517489
Juppe	0.0517217
Modise	0.0516994
Zhivkov	0.0516576
Fink	0.051601
Insulza	0.0515155
silber	0.0512571
Chaudhry	0.0512533
"Amnuay Virawan"	0.0511477
Jonah	0.0511156
Prueher	0.0510821
D'Alema	0.0509809
Gantamirov	0.0508941
Wilhelm	0.0508233
Dini	0.05075
Campos	0.0506297
Cui	0.0504722
"Chuan Leekpai"	0.0504677
Schroder	0.0504474
Masire	0.050377
Huber	0.0503567
Meles	0.0503201
Flanagan	0.0502975
Wenger	0.0502262
Sasser	0.0502027
Stoyanov	0.0500511
Plavsic	0.049945
Alatas	0.0498684
Bhutto	0.0498643
Hekmatyar	0.049745
Moonves	0.0497157
Baez	0.0496979
Sato	0.0496353
Tarrin	0.0494101
Indyk	0.0493358
Edelman	0.0493239
Saleh	0.0491976
Ebersol	0.0491784
Henning	0.0491735
Siazon	0.0491325
Glaser	0.0491236
Yew	0.0490793
Boutros-Ghali	0.0489936
guo	0.0489514
Klestil	0.0487535
Zagallo	0.0487317
Demaci	0.0486934
Zhao	0.0486186
Ershad	0.0486027
Lukashenko	0.0485712
Kabariti	0.0485525
Isaias	0.0485405
Moi	0.0485009
"Orlando Mercado"	0.0484795
Belo	0.0484754
))
("CHIANG MAI" (desc 4511.58) (sims
Phuket	0.254734
Pattaya	0.251404
"Chiang Rai"	0.215366
Herat	0.163773
"Surat Thani"	0.161801
Cebu	0.141643
Vientiane	0.13637
Langkawi	0.135721
Davao	0.13529
"Siem Reap"	0.133505
Basle	0.132654
Murmansk	0.131171
Antalya	0.12962
Izmir	0.128379
Bamiyan	0.122565
Fukuoka	0.121672
Yogyakarta	0.120878
Nagoya	0.119554
Isfahan	0.118634
Jalalabad	0.118533
Osaka	0.118503
HANOI	0.118208
Krasnoyarsk	0.11762
Najaf	0.117045
"Ho Chi Minh City"	0.116973
Bangkok	0.116671
Entebbe	0.116246
Cartagena	0.114999
"Kuala Lumpur"	0.114549
Pusan	0.11343
Perth	0.113397
MAPUTO	0.113388
Basra	0.112736
Kandahar	0.111821
Gdansk	0.111702
Huambo	0.111657
Lahti	0.111396
Cairns	0.111386
Tashkent	0.111167
Vladikavkaz	0.110622
Cochabamba	0.109702
Bulawayo	0.109057
Halle	0.108559
Durban	0.108004
"Egyptian capital"	0.107931
Peshawar	0.107375
Kandy	0.107022
Duesseldorf	0.106241
Zamboanga	0.106179
"San Sebastian"	0.10609
Trondheim	0.106003
Salzburg	0.105577
Kabwe	0.105169
Tete	0.10511
Mosul	0.104082
"Phnom Penh"	0.103951
Luanda	0.103117
Cardiff	0.103101
Manila	0.102743
Madras	0.102497
Ljubljana	0.102099
Rabat	0.102051
"Bandar Seri Begawan"	0.10187
"ALMA ATA"	0.101839
BUDAPEST	0.101334
Muscat	0.101058
Auckland	0.101005
Catania	0.0994902
Cabinda	0.0993811
Windhoek	0.0992948
Antwerp	0.0991384
Brisbane	0.0988828
Vilnius	0.0986373
"San Pedro Sula"	0.0984491
Gulu	0.098344
Christchurch	0.098129
BRATISLAVA	0.0967012
Istanbul	0.0966647
Jakarta	0.0959396
Karlsruhe	0.095626
Eilat	0.0954978
Doha	0.0954782
Riyadh	0.0953278
MANAMA	0.0953141
Bengkulu	0.0952737
Hyderabad	0.0950889
Ndola	0.0948877
"San Salvador"	0.0948797
Klagenfurt	0.0948692
Kunming	0.0948626
Seville	0.0948337
Bushehr	0.0947627
Eindhoven	0.0946435
BUCHAREST	0.0945159
Glasgow	0.0941629
Nago	0.0940355
BOGOTA	0.0939051
Diyarbakir	0.0936977
YANGON	0.0936963
Asuncion	0.0936869
Cotabato	0.0935242
Karachi	0.0935238
Abidjan	0.0935016
Tapachula	0.0930997
Hobart	0.0928793
Sapporo	0.0925952
"Banja Luka"	0.0925933
Dushanbe	0.092067
Mazar-i-Sharif	0.0919839
Ghent	0.0917186
BASEL	0.0916963
"Ulan Bator"	0.0916481
Lucerne	0.0914641
Sindh	0.0912631
Utrecht	0.0910164
Jeddah	0.0908917
Bremen	0.0908049
"Buenos Aires"	0.0907316
Surabaya	0.090679
Tunceli	0.0905797
Hannover	0.0903749
PALERMO	0.0899144
Santiago	0.0898892
Bormio	0.089578
Minsk	0.089474
Aswan	0.0894495
Rafah	0.0893929
COLOMBO	0.0893817
"North Maluku"	0.0891669
"St Petersburg"	0.0889565
Chamonix	0.0889064
Lugano	0.0888181
Chiba	0.0887613
Gothenburg	0.0885819
Bali	0.0883202
Larnaca	0.0881082
Rawalpindi	0.0879672
Kisumu	0.0873173
Bangalore	0.0872632
Posoltega	0.087229
Taloqan	0.0870859
Bingol	0.0869335
TUNIS	0.086736
Brunei	0.0867287
Shiraz	0.0867121
CHENGDU	0.0865445
Gaborone	0.086475
DHAKA	0.0864728
Ipoh	0.0864659
Helsinki	0.086436
Bursa	0.0860632
Nablus	0.0857851
Haikou	0.0856814
Xining	0.0855145
Adelaide	0.0853722
KIEV	0.0852014
CARACAS	0.0849267
Khost	0.0847291
"Rio de Janeiro"	0.0846386
Novosibirsk	0.0846146
Bombay	0.0845644
Algiers	0.0844819
Havana	0.0843958
HARARE	0.0843546
"Brunei Darussalam"	0.0843048
Calcutta	0.0841495
Baotou	0.0841222
Abuja	0.0839918
Lausanne	0.0838371
Alexandria	0.0837553
JOHANNESBURG	0.0837507
DUBAI	0.0837176
"Quebec City"	0.0836712
Kyoto	0.0834608
SEOUL	0.0830928
"La Paz"	0.083083
Mombasa	0.0829991
Manchester	0.082981
Guilin	0.082809
"PETALING JAYA"	0.0826443
Islamabad	0.0826442
SOFIA	0.0824556
Tehran	0.0823066
Trincomalee	0.0821875
Lusaka	0.0821306
Davos	0.0820433
Ramallah	0.082002
"Santo Domingo"	0.0817898
Guayaquil	0.0816621
Atambua	0.0815657
Baalbek	0.081389
Medan	0.0813457
Sharjah	0.0813048
Tripoli	0.0812462
Tachilek	0.0811974
Aqaba	0.0810523
Inchon	0.0809833
Nanning	0.0809622
Yokohama	0.0809373
Jinja	0.0808431
))
("Chiang Rai" (desc 1366.46) (sims
Phuket	0.274918
"CHIANG MAI"	0.215366
Pattaya	0.200988
Herat	0.171997
Cotabato	0.167688
"Surat Thani"	0.165129
Tete	0.152165
Pampanga	0.143382
"North Maluku"	0.137795
Sofala	0.137142
BIE	0.137057
Vientiane	0.132961
Huambo	0.132887
Mpumalanga	0.131509
Bamiyan	0.13013
Antalya	0.127908
Nyanza	0.127805
Tunceli	0.127264
Benguela	0.126405
Cabinda	0.125665
Isfahan	0.125556
Bursa	0.124951
Davao	0.123244
Katanga	0.121012
Balochistan	0.120626
Bingol	0.118638
Najaf	0.114278
Vojvodina	0.114171
Izmir	0.113245
Cebu	0.109547
Sirnak	0.107772
Hakkari	0.105842
Maguindanao	0.10511
Kwazulu-Natal	0.104618
Riau	0.101828
"East Nusa Tenggara"	0.0997014
Diyarbakir	0.0992373
Tigray	0.099148
Basra	0.0971879
MAPUTO	0.0955019
Krasnoyarsk	0.0953985
Cochabamba	0.0953638
Basilan	0.0949502
Vilnius	0.0934753
Palawan	0.0926368
"Nigerian capital"	0.0925939
Sulu	0.0923753
Entebbe	0.0914025
"rift valley"	0.090858
Khost	0.0903648
Antioquia	0.090056
Norte	0.0894504
Zamboanga	0.0888111
"Siem Reap"	0.0877389
Bulawayo	0.0874478
Meta	0.0873737
Cairns	0.0859574
Bushehr	0.0852042
Sindh	0.0845731
Chennai	0.0843076
Bengkulu	0.0840214
"Banja Luka"	0.0839727
Putumayo	0.0839592
Adana	0.0830209
Bekaa	0.0829948
"Mount Lebanon"	0.0828507
"Central Java"	0.0825211
Christchurch	0.0819806
Guantanamo	0.0818448
"East Kalimantan"	0.0816977
Limon	0.0811493
Punjab	0.0810839
Guayaquil	0.0808994
Anhui	0.0803484
"Buenos Aires"	0.0798664
Murmansk	0.0796956
Bataan	0.0795495
Kandahar	0.0785197
"South Sulawesi"	0.0777191
Mosul	0.0769141
Cordoba	0.0765702
Gauteng	0.0761482
Copperbelt	0.0757126
Shiraz	0.0753647
Toro	0.074909
Eilat	0.0741588
Hunan	0.073638
Gaborone	0.0729156
Jeddah	0.072652
"West Java"	0.0721868
Baotou	0.0721063
Gdansk	0.0720604
Aden	0.0719537
"Eastern Province"	0.0716836
Sirte	0.0716521
Salzburg	0.0713732
Vladivostok	0.0707881
Ljubljana	0.0698452
KwaZulu/Natal	0.0697307
Luanda	0.0692777
"Irian Jaya"	0.0691018
"San Salvador"	0.0683595
Algiers	0.0677844
Malaga	0.0677644
Sur	0.0676617
Lucerne	0.0675523
Luxemburg	0.0674664
"Western Cape"	0.0674243
"Eastern Cape"	0.0674086
Shanxi	0.0674054
Windhoek	0.067315
Caprivi	0.0672123
Kurdistan	0.0671029
Jiangxi	0.0670281
Guadalajara	0.0669931
Qom	0.0669888
Santander	0.0669137
Yogyakarta	0.0666616
Klagenfurt	0.0663691
Jalalabad	0.066167
Catania	0.0659573
"West Kalimantan"	0.0654853
Baoding	0.0651035
"Ho Chi Minh City"	0.0648152
Bergen	0.0644148
Cartagena	0.0643377
Riyadh	0.0638853
Abidjan	0.0637818
Cienfuegos	0.0636417
Maluku	0.0634632
Taloqan	0.0633775
Darien	0.0632812
Strasbourg	0.0629308
"Malaysian capital"	0.062622
Quito	0.062507
"East Java"	0.0621411
TUNIS	0.061615
SANAA	0.0615722
Mazar-i-Sharif	0.0615228
"Bekaa Valley"	0.0614046
Langkawi	0.0612321
Ghent	0.0612244
Sharjah	0.0609822
Ashkhabad	0.0608313
Dushanbe	0.0606247
"Egyptian capital"	0.0605303
"La Paz"	0.0603708
UVA	0.0603507
ZAGREB	0.0602309
Goteborg	0.0601939
Peshawar	0.0600313
Subic	0.0596583
Aswan	0.0595736
Aqaba	0.0595068
Chisinau	0.0594164
Rabat	0.0592489
BLANTYRE	0.0589247
Bali	0.0589022
Baku	0.0584516
Liege	0.058444
"Santo Domingo"	0.0582902
Palembang	0.058074
"San Sebastian"	0.0579808
Rangoon	0.0579116
Bamako	0.0578942
MANAMA	0.0577103
Mbabane	0.0575882
Tripoli	0.0573375
Durres	0.0571489
Seville	0.0570949
Mashhad	0.0570663
Genoa	0.0570398
Avila	0.0569617
"Port Said"	0.0568268
Gulu	0.0567779
Utrecht	0.0567501
"Algerian capital"	0.0565858
Baalbek	0.0564963
"Guatemala City"	0.0563475
Minsk	0.0560305
Zhangjiagang	0.0559219
Sidon	0.0558221
Rafah	0.0556417
Lampung	0.0554962
Taba	0.0552339
quiche	0.0549039
Chiba	0.0549005
Nanning	0.0548543
"Bandar Seri Begawan"	0.0548012
Asuncion	0.0547607
Hannover	0.0547329
Ndola	0.0547045
Manado	0.0546887
Manitoba	0.0546228
Surin	0.0543394
Attica	0.0542117
Quetta	0.0541667
"Free State"	0.0538981
Accra	0.053738
"ALMA ATA"	0.0535354
))
(Chianti (desc 1875.42) (sims
Cabernet	0.137993
"Pinot noir"	0.137613
Beaujolais	0.137016
merlot	0.135187
Riesling	0.127891
"red wine"	0.124008
Chardonnay	0.121867
"California wine"	0.114726
"Cabernet Sauvignon"	0.109369
Seltzer	0.107686
Cognac	0.0995377
aperitif	0.0991016
"sparkling wine"	0.0973249
Rhone	0.0928864
champagne	0.0915932
Evian	0.0906946
"mineral water"	0.0905454
"Sauvignon blanc"	0.0888473
Burgundy	0.0887742
whisky	0.0875138
Alsace	0.0840142
Zinfandel	0.0828095
morel	0.0771608
brandy	0.0760479
booze	0.0754569
tequila	0.0746454
"Dom Perignon"	0.0738287
"white wine"	0.0737103
bubbly	0.0719917
"Bordeaux wine"	0.0709395
Thunderbird	0.0706903
Madeira	0.0672201
whiskey	0.0665036
bourbon	0.0663287
Gallo	0.0661273
"barbecue sauce"	0.0654721
Gatorade	0.0647474
vodka	0.0646808
"cranberry juice"	0.0642718
Bordeaux	0.0621712
sherry	0.0619706
cider	0.0612163
absinthe	0.0610841
"orange juice"	0.0604327
sherbet	0.0597549
Syrah	0.0597255
"iced tea"	0.0596658
"frozen yogurt"	0.0586704
"Far Eastern"	0.0574601
Kono	0.0565385
"snow pea"	0.0565266
chanterelle	0.0553616
Kaliningrad	0.0551324
"hot sauce"	0.054829
"silver dollar"	0.0530687
Berber	0.0529658
blubber	0.0526652
Kendall-Jackson	0.0525538
"lima bean"	0.0520344
Drexel	0.0518696
Heineken	0.0516168
Spyglass	0.0515773
Roquefort	0.0514285
"party favor"	0.0511679
brie	0.0506289
cola	0.0500678
Piedmont	0.0498406
"root beer"	0.0497794
Muscat	0.0497426
pesto	0.0487258
"beef broth"	0.0487231
lemonade	0.0485454
"place setting"	0.048441
Napa	0.0480022
Batticaloa	0.0477823
"Central Valley"	0.0477733
"milk chocolate"	0.0475002
"Chenin blanc"	0.0473239
"cut of meat"	0.047257
"Bud Light"	0.0471917
"spring water"	0.0470388
Calvados	0.0468354
Shaoxing	0.0466077
Vedeno	0.0458307
"tomato sauce"	0.0458133
Laguna	0.0456812
"Coca Cola"	0.0453074
Sylhet	0.0452125
"Diet Coke"	0.0449716
"ginger ale"	0.0448595
mouthwash	0.044578
franc	0.0442109
granola	0.0442102
bluegrass	0.0441066
ragout	0.0437484
Rajshahi	0.0437248
"green salad"	0.0437215
Galilee	0.0435321
soya	0.0429911
"main course"	0.0428165
"swing music"	0.0425967
Tuscany	0.0423354
ketchup	0.0420015
dandelion	0.0419818
Appalachian	0.0418924
Alto	0.0418083
Tamarind	0.0418025
Drenica	0.0416074
Bekaa	0.0415023
Leningrad	0.0409278
custard	0.0408127
Umbria	0.0405593
generics	0.040559
sought-after	0.040398
Taxol	0.0403319
"Easter egg"	0.040254
Khabarovsk	0.0401344
"oil paint"	0.0400203
))
(Chiapas (desc 14247.6) (sims
Oaxaca	0.168631
Guerrero	0.148419
Veracruz	0.143775
Puebla	0.142924
Michoacan	0.142144
Jalisco	0.139593
Guanajuato	0.112612
"Lower Saxony"	0.111245
Tamaulipas	0.110781
Zacatecas	0.104855
"Uttar Pradesh"	0.104555
Sinaloa	0.103608
Kashmir	0.100674
Mindanao	0.0989187
"Quintana Roo"	0.0984187
"Baja California"	0.0967217
Honduras	0.0944857
Morelos	0.0928302
Congo	0.0923182
"Niger Delta"	0.0918119
Dagestan	0.0897394
Aceh	0.0895491
chihuahua	0.0890609
Tabasco	0.0886347
"New South Wales"	0.0876746
Punjab	0.0864195
"Sierra Leone"	0.0863761
"Central America"	0.0842093
"Northern Ireland"	0.0830333
Abkhazia	0.0827829
Durango	0.0822783
Afghanistan	0.0810596
"East Timor"	0.0809988
Drenica	0.0807242
Gujarat	0.0805055
Chechnya	0.0801334
Jolo	0.0790682
Sudan	0.0789271
Bihar	0.0787759
Balkans	0.0786356
Dili	0.0775154
"West Bengal"	0.077349
Ambon	0.0773235
"Gaza Strip"	0.0763717
Guatemala	0.0758845
Kosovo	0.0758168
Bekaa	0.0755925
Hesse	0.0755026
Mexico	0.0751902
Nicaragua	0.0746291
Colombia	0.0742672
Burundi	0.0739669
Bavaria	0.073392
Zaire	0.0727466
"New Mexico"	0.0720784
Louisiana	0.07178
"Delta State"	0.0716409
"West Timor"	0.0716172
"African nation"	0.0715296
Assam	0.0713199
Queensland	0.0712318
DRC	0.070667
"West Bank"	0.0705879
Caprivi	0.0705612
Sonora	0.0703093
Orissa	0.0702336
Somalia	0.0701174
Haiti	0.0699121
Saxony	0.0692514
Algeria	0.0691144
"Minas Gerais"	0.0689359
Sindh	0.0688682
Zanzibar	0.0685159
Putumayo	0.0683418
CARACAS	0.0682671
"Democratic Republic of the Congo"	0.0682532
Wyoming	0.0682526
Caucasus	0.0680715
Antioquia	0.0679721
Kaduna	0.067934
Tigray	0.0678031
"Balkan country"	0.0677919
"Persian Gulf"	0.0676351
"Phnom Penh"	0.0676294
Africa	0.0673817
Krasnoyarsk	0.0671723
"Holy Land"	0.0671157
"Southeast Asia"	0.0668321
"South Carolina"	0.0667086
Solomons	0.0665705
Bosnia	0.06636
Peru	0.0662928
Maluku	0.0662178
"New Hampshire"	0.0658485
Bougainville	0.0656517
Gaza	0.0655852
Lesotho	0.0654818
"South Lebanon"	0.0652433
Angola	0.0650286
"Democratic Republic of Congo"	0.064975
"Middle East"	0.0648703
Liberia	0.0648297
Cambodia	0.0647003
"South Asia"	0.0644495
Lebanon	0.0644183
"South America"	0.0642959
Brandenburg	0.064275
Merida	0.0642207
Albania	0.0640341
Guangxi	0.0632823
Mitrovica	0.0631365
"North Carolina"	0.0631287
"El Salvador"	0.0630903
"Irian Jaya"	0.063065
Mostar	0.0629184
Uganda	0.0628937
"West Virginia"	0.0627108
"Solomon Islands"	0.0623305
Okinawa	0.0620193
Tajikistan	0.0619689
Mideast	0.0618975
CANCUN	0.0612816
Badme	0.0610353
Montana	0.0610169
"Southern California"	0.0609022
Cyprus	0.0608689
Idaho	0.0605521
Asia	0.0604274
"Northern California"	0.0602704
Iowa	0.0602378
Tibet	0.0602246
"St. Petersburg"	0.0601732
Eritrea	0.0601644
Jammu	0.0601049
Nevada	0.0600978
Republic	0.0600425
"Tamil Nadu"	0.0600259
Philippines	0.0599886
"Mexico City"	0.0598853
Kabul	0.0598737
Ulster	0.0598438
Karachi	0.0596403
Kandahar	0.0596132
Hebron	0.0595455
Mogadishu	0.0595417
Maryland	0.0591192
"Andhra Pradesh"	0.0587881
Massachusetts	0.0586921
Vermont	0.0586884
Quebec	0.0586067
Kisangani	0.0585597
"African country"	0.0584869
"Puerto Rico"	0.0584669
Ecuador	0.0583661
"West Africa"	0.0581848
Jakarta	0.0580716
Kargil	0.0579988
Acapulco	0.0579798
Illinois	0.0576851
Yugoslavia	0.0576619
"Northern Irish"	0.0576506
Mozambique	0.057638
Warri	0.0574423
Macedonia	0.057441
"Rhode Island"	0.0573443
Comoros	0.0573129
Kansas	0.0572919
Mississippi	0.0572761
Havana	0.0572351
Arusha	0.0571902
Sarawak	0.0571861
Yunnan	0.0571043
Ningxia	0.0566565
"South American country"	0.0566027
Monrovia	0.0565187
Luanda	0.0564916
"Hunan Province"	0.0564667
highland	0.0564023
Kupang	0.0562757
Bangladesh	0.0561187
Gulf	0.0558741
Malawi	0.0558703
"Dominican Republic"	0.0558679
prefecture	0.0558648
Aegean	0.0558293
Fiji	0.0557093
Guadalajara	0.0556618
"Kosovska Mitrovica"	0.0556418
Pennsylvania	0.0554994
"North Caucasus"	0.0553947
Sarajevo	0.0553917
Nigeria	0.0552883
Maine	0.0552076
Serbia	0.0551468
Alabama	0.0550724
Niger	0.0549298
Alaska	0.0549154
"Chittagong Hill Tracts"	0.0549076
Chittagong	0.0548819
"British Columbia"	0.0548762
))
(Chiba (desc 3169.71) (sims
Fukuoka	0.207165
Nagasaki	0.177841
Sapporo	0.175631
Yokohama	0.172687
Osaka	0.152121
Kobe	0.144624
Nagoya	0.138654
Trondheim	0.136012
Hakuba	0.132561
Basle	0.129194
Rostock	0.126637
Suzuka	0.123647
Eindhoven	0.121654
Kitzbuehel	0.120533
Halle	0.118483
Kyoto	0.115118
Nagano	0.11458
Linz	0.114121
"San Sebastian"	0.113315
Kashima	0.113208
Miyazaki	0.110176
Heerenveen	0.106183
Gisenyi	0.105379
SENDAI	0.104689
Lugano	0.103307
Gelsenkirchen	0.10313
Madras	0.101437
PALERMO	0.10089
Hiroshima	0.100438
Stuttgart	0.0979734
Ruhengeri	0.0965605
Adelaide	0.0960798
Eastbourne	0.0949134
Bremen	0.092169
Filderstadt	0.0900159
Maastricht	0.0891792
"CHIANG MAI"	0.0887613
"Melbourne Park"	0.0875784
Malmo	0.0875344
Lucerne	0.0874205
Perth	0.0851275
Bormio	0.0849763
Rotterdam	0.0843844
"St Petersburg"	0.083283
BRATISLAVA	0.0830761
Carlsbad	0.0829766
Asuncion	0.0820297
Vitoria	0.0814478
Vientiane	0.0812885
Dusseldorf	0.0804643
Utrecht	0.0803038
BASEL	0.079786
"Hilton Head"	0.0793646
Sestriere	0.07896
Goteborg	0.0788079
"Victoria Park"	0.0784328
Duesseldorf	0.0783213
Chamonix	0.0781998
Strasbourg	0.0781117
Okinawa	0.0780065
Genoa	0.0777513
Gothenburg	0.0774985
Hobart	0.0755944
Auckland	0.0754665
Langkawi	0.0749564
Nottingham	0.074749
Innsbruck	0.074369
Zurich	0.0737334
"Key Biscayne"	0.0730784
Gdansk	0.072678
Hamburg	0.0725919
Verona	0.0724553
Dortmund	0.072384
Sheffield	0.0720229
Cardiff	0.071729
Lahti	0.0716082
Ghent	0.0714306
Hanover	0.07014
Brisbane	0.0701332
Ipoh	0.0698739
Falun	0.0698422
Cochabamba	0.0694594
Antwerp	0.0687023
Yomiuri	0.0680376
Seville	0.0678554
Lucknow	0.0675022
Karlsruhe	0.0673597
Leipzig	0.06691
Plata	0.0666665
"Gold Coast"	0.0663743
Cebu	0.0658476
Thessaloniki	0.0656715
Xigaze	0.0655539
Eilat	0.0652729
Maribor	0.0651926
Essen	0.0651387
Casablanca	0.0648247
"half time"	0.0646658
Lausanne	0.0646651
Montpellier	0.0646589
"Villa Park"	0.0644712
Cartagena	0.064329
Valencia	0.0641005
Antalya	0.064073
Durban	0.0637837
Yogyakarta	0.0635469
Imola	0.0634623
"Manhattan Beach"	0.0629868
Porto	0.0623132
Fushun	0.0622398
MELBOURNE	0.0620649
Toulouse	0.0620133
"Hauraki Gulf"	0.0620038
Lecce	0.0615171
Pattaya	0.061181
Toulon	0.0609473
Tashkent	0.0606231
Kandy	0.0605299
Salonika	0.0603193
"PETALING JAYA"	0.0601005
Hongyuan	0.0600666
Taipei	0.0600485
Hannover	0.0600113
Kawasaki	0.0599687
Graz	0.059959
"Indian Wells"	0.0599536
Hokkaido	0.0598246
Charleroi	0.0595854
Birmingham	0.059428
Doha	0.0593834
"Tokyo Dome"	0.0592697
Klagenfurt	0.0592348
ABA	0.0590981
"Ho Chi Minh City"	0.0590372
"Olympic Winter Games"	0.0588695
Christchurch	0.0588428
Lahore	0.0587972
Riga	0.0581057
Nantes	0.0579956
Glasgow	0.0579779
Turin	0.0577074
"Secretary General Esmat Abdel-Meguid"	0.0577053
Bari	0.057698
Novosibirsk	0.0572865
Salernitana	0.0572135
Vladikavkaz	0.0571156
"Sao Paulo"	0.0571052
"Hiroyasu Shimizu"	0.0568539
MANAMA	0.0567955
Munich	0.056626
"Cal State Fullerton"	0.0564132
al-Sahaf	0.0562541
"Monte Carlo"	0.0561262
Metz	0.056003
"European Swimming Championships"	0.0559638
Duisburg	0.0558244
Piraeus	0.0558107
Jinja	0.0556974
"La Paz"	0.0553291
Kuching	0.0553092
Aberdeen	0.0552727
Krasnoyarsk	0.055129
"Chiang Rai"	0.0549005
Watford	0.0547558
BUDAPEST	0.0545157
Hainiu	0.0544612
Oslo	0.054135
ZAGREB	0.053894
Jinzhou	0.0537154
Muscat	0.0533784
Bulawayo	0.0533763
Cairns	0.0532244
Huangshan	0.053183
Zaragoza	0.0530882
Ozaki	0.0528353
Rabat	0.0527866
Aachen	0.0527559
Rawalpindi	0.0524848
Yerevan	0.0524205
Malaga	0.0523345
Accra	0.0523219
"World University Games"	0.0522656
"Park City"	0.0521749
Tapachula	0.0519634
"Bandar Seri Begawan"	0.0518042
Mallorca	0.0516829
Vicenza	0.0515349
Highbury	0.0513716
"Egyptian capital"	0.051301
Kyushu	0.0512992
Edmonton	0.0512148
Nago	0.0509643
"Santa Cruz"	0.0508799
Daiei	0.0508527
Rosario	0.0507998
Monaco	0.0507887
Davao	0.0507101
Zamboanga	0.0507064
Khost	0.0505713
"Le Mans"	0.0505511
))
(chic (desc 12645.4) (sims
elegance	0.0772361
glamour	0.0771113
sophistication	0.0713144
Vibe	0.0528815
luxury	0.0506422
virility	0.0503676
conservatism	0.0497142
Republicanism	0.048819
lifestyle	0.048752
realism	0.0482619
esthetic	0.0478753
beauty	0.047297
whimsy	0.0469289
sensibility	0.0467271
Capitalism	0.0457879
hipness	0.0454639
feminism	0.0453991
opulence	0.0447748
masculinity	0.0446816
wardrobe	0.0445643
femininity	0.0442681
radicalism	0.0441911
gentility	0.0441632
counterculture	0.0434725
kitsch	0.0431936
nirvana	0.0430859
Panache	0.0426598
abstraction	0.0424826
garb	0.0422571
"avant garde"	0.0419423
Brasserie	0.0418879
noir	0.0415635
fantasy	0.0410603
affectation	0.0406285
cachet	0.0405072
))
(Chicago (desc 135977) (sims
Detroit	0.292059
Boston	0.291439
Philadelphia	0.291022
Dallas	0.275162
"Los Angeles"	0.273719
"San Francisco"	0.272935
Seattle	0.268679
"St. Louis"	0.265976
Cleveland	0.265308
Atlanta	0.264559
Houston	0.264484
Pittsburgh	0.25967
Toronto	0.258507
Denver	0.254397
Phoenix	0.25366
Baltimore	0.251749
"San Diego"	0.248249
Cincinnati	0.246887
"New York"	0.244229
Montreal	0.243061
Miami	0.242709
Milwaukee	0.241711
"Kansas City"	0.241327
"New Orleans"	0.226606
Vancouver	0.22369
"San Antonio"	0.219461
"San Jose"	0.218527
Orlando	0.217977
Portland	0.217655
Oakland	0.216045
Nashville	0.214936
"Tampa Bay"	0.213565
Buffalo	0.213469
ANAHEIM	0.204699
Minnesota	0.201626
Sacramento	0.20079
Calgary	0.191261
Edmonton	0.190824
Washington	0.190773
"New Jersey"	0.19055
Indianapolis	0.188076
Colorado	0.187195
Charlotte	0.1821
Carolina	0.17897
Minneapolis	0.178445
Tampa	0.177782
"Green Bay"	0.177348
Arizona	0.172735
Florida	0.17021
"New York City"	0.166873
Jacksonville	0.166685
Columbus	0.164192
Austin	0.163212
LONDON	0.159883
Ottawa	0.157826
Texas	0.156505
"Las Vegas"	0.156187
Newark	0.152048
Memphis	0.151474
Indiana	0.146959
Utah	0.144055
"Fort Worth"	0.14035
Albany	0.139248
Hartford	0.136538
Tennessee	0.136444
"Salt Lake City"	0.134564
Paris	0.134138
"New England"	0.132922
"Chicago Cubs"	0.132625
Tucson	0.132268
Syracuse	0.132234
Louisville	0.132192
Honolulu	0.130886
"Golden State"	0.129467
Manhattan	0.129188
Richmond	0.128046
L.A	0.127093
California	0.126095
Mets	0.124872
Tokyo	0.123995
Providence	0.123611
"Mexico City"	0.122047
Michigan	0.122022
"New York Mets"	0.121897
"Chicago White Sox"	0.120435
Birmingham	0.120233
"St. Petersburg"	0.120209
Rochester	0.119582
"Long Beach"	0.11955
"Fort Lauderdale"	0.119516
Giants	0.117833
cub	0.117736
Lakers	0.117447
Connecticut	0.115217
"West Palm Beach"	0.11501
"White Sox"	0.114683
Kentucky	0.113297
ranger	0.112974
"Little Rock"	0.112448
"North Carolina"	0.111981
Yankee	0.111395
Brooklyn	0.11111
"Southern California"	0.110949
Georgia	0.110831
Moscow	0.110655
Berlin	0.109359
dodger	0.109141
Albuquerque	0.108507
Hawaii	0.108489
Arkansas	0.108483
Vienna	0.107927
BEIJING	0.107744
"New York Yankees"	0.107695
Wisconsin	0.107597
"Los Angeles Lakers"	0.107557
Virginia	0.107133
Rome	0.107085
"New York Giants"	0.107053
"Oklahoma City"	0.106916
Oklahoma	0.106901
Charleston	0.106699
"New York Jets"	0.106026
Cambridge	0.105907
Dayton	0.105508
"Des Moines"	0.105233
Havana	0.104508
Springfield	0.104501
Omaha	0.103876
Alabama	0.103816
Wilmington	0.103581
"New Haven"	0.103543
Manchester	0.103082
Sydney	0.102903
"New York Islanders"	0.10286
"San Juan"	0.10246
Kansas	0.10227
Greenville	0.101893
clipper	0.101606
ASTROS	0.100925
"Red Sox"	0.100715
"El Paso"	0.10069
brave	0.100427
TALLAHASSEE	0.100177
Dublin	0.100071
Milan	0.100049
Oregon	0.100017
islander	0.0998041
Tulsa	0.0996684
Shanghai	0.0989189
Iowa	0.0988806
"Chicago Bulls"	0.0988114
Barcelona	0.0988025
Orioles	0.0982964
England	0.0981892
Arlington	0.0981533
Phillies	0.0976046
UCLA	0.0972776
Nebraska	0.0972023
Maryland	0.0971957
cardinal	0.0971813
Frankfurt	0.0969843
Purdue	0.096942
Raleigh	0.0968082
Knicks	0.0967951
Geneva	0.0965218
CAIRO	0.0964693
Massachusetts	0.0961964
Pennsylvania	0.0960573
Belfast	0.0959904
"Atlantic City"	0.0957358
Stanford	0.0953329
Illinois	0.0951437
Amsterdam	0.0950963
MELBOURNE	0.0950813
"Santa Monica"	0.0948468
Istanbul	0.0947565
city	0.0947497
Spokane	0.0946446
Madrid	0.0944665
"Los Angeles Clippers"	0.0942889
Padre	0.0939083
D.C.	0.093895
Missouri	0.0937042
Zurich	0.0933503
Berkeley	0.0932945
Prague	0.0932889
"Tel Aviv"	0.0929498
ATHENS	0.0927601
"blue jay"	0.0927189
SEOUL	0.0926843
"Buenos Aires"	0.0925611
Munich	0.0925156
TRENTON	0.0922917
"South Carolina"	0.0921581
mariner	0.0910429
Pasadena	0.0906949
Fresno	0.0904631
Taipei	0.0902642
USC	0.0901239
"Sao Paulo"	0.0899354
))
("Chicago Bears" (desc 9395) (sims
"Philadelphia Eagles"	0.280116
"Washington Redskins"	0.252557
"Cleveland Browns"	0.250311
"Kansas City Chiefs"	0.245305
"Buffalo Bills"	0.241227
"San Diego Chargers"	0.239523
"Green Bay Packers"	0.239054
"Dallas Cowboys"	0.238116
"Oakland Raiders"	0.237747
"Miami Dolphins"	0.237135
"Minnesota Vikings"	0.233674
"Denver Broncos"	0.233434
"Carolina Panthers"	0.224866
"New York Giants"	0.222861
"Indianapolis Colts"	0.219437
"Seattle Seahawks"	0.218305
"San Francisco @@ers"	0.217542
"New York Jets"	0.216594
"Detroit Lions"	0.214878
"ATLANTA FALCONS"	0.213869
"Tampa Bay Buccaneers"	0.208191
"Pittsburgh Steelers"	0.206323
BEARS	0.202285
"Arizona Cardinals"	0.202243
"St. Louis Rams"	0.200834
"Los Angeles Rams"	0.20037
"New Orleans Saints"	0.200139
"Jacksonville Jaguars"	0.192973
"New England Patriots"	0.187193
"Cincinnati Bengals"	0.179819
"Los Angeles Clippers"	0.176968
"Golden State Warriors"	0.170717
"Baltimore Ravens"	0.164905
"Dallas Mavericks"	0.154956
"Atlanta Hawks"	0.154885
ram	0.147032
Seahawks	0.146383
packer	0.145924
"Calgary Flames"	0.145535
Giants	0.145192
"Washington Wizards"	0.1432
Eagles	0.142946
"Milwaukee Bucks"	0.142834
bronco	0.142511
Redskin	0.142292
"Boston Celtics"	0.142014
"Detroit Pistons"	0.137549
Steelers	0.136313
"Los Angeles Lakers"	0.135861
"Charlotte Hornets"	0.135816
"New York Rangers"	0.135385
"Tennessee Titans"	0.134866
"Sacramento Kings"	0.134305
"Indiana Pacers"	0.133876
oiler	0.133815
"Houston Oilers"	0.132088
Raven	0.131721
"Milwaukee Brewers"	0.130607
raider	0.129804
"St. Louis Cardinals"	0.129004
"Chicago Bulls"	0.128828
cowboy	0.128413
"Edmonton Oilers"	0.127997
"Houston Rockets"	0.127968
"Philadelphia Flyers"	0.127862
"Montreal Canadiens"	0.127586
"Kansas City Royals"	0.127452
"Green Bay"	0.12699
"Cleveland Cavaliers"	0.126831
"San Antonio Spurs"	0.126182
patriot	0.125425
"New York Knicks"	0.125317
falcon	0.124308
"Denver Nuggets"	0.124136
"Toronto Maple Leafs"	0.123832
Celtics	0.12315
"New Jersey Nets"	0.123123
Bengals	0.12279
"Phoenix Suns"	0.120844
cardinal	0.120791
"Minnesota Timberwolves"	0.120395
"Minnesota Twins"	0.119889
"Chicago Blackhawks"	0.119197
"Los Angeles Kings"	0.119091
"Portland Trail Blazers"	0.118701
"Miami Heat"	0.118127
"Pittsburgh Pirates"	0.116816
clipper	0.116725
Viking	0.116026
"New York Liberty"	0.115261
charger	0.11504
"Oakland Athletics"	0.114874
"Detroit Tigers"	0.114554
"Vancouver Canucks"	0.113684
panther	0.113638
"Florida Marlins"	0.113029
MetroStars	0.112768
"Cincinnati Reds"	0.112584
bruin	0.112143
piston	0.111525
"New York-New Jersey MetroStars"	0.111331
colt	0.110704
"Baltimore Orioles"	0.110284
"Arizona State"	0.110118
"San Francisco Giants"	0.110035
"Philadelphia Phillies"	0.1099
"New York Mets"	0.109633
"Utah Jazz"	0.10869
"Tar Heels"	0.108479
"Los Angeles Dodgers"	0.108318
dolphin	0.108188
"New York Islanders"	0.107981
"Dallas Burn"	0.107817
"Washington State"	0.107659
"Atlanta Braves"	0.106717
"Tampa Bay"	0.106082
"Washington Mystics"	0.105136
"Mighty Ducks"	0.105002
"Maple Leafs"	0.104692
"Cleveland Indians"	0.10407
"White Sox"	0.103881
"Boston Red Sox"	0.103387
"Oregon State"	0.10255
"Pittsburgh Penguins"	0.102358
"Washington Capitals"	0.102077
Orioles	0.101744
"Anaheim Angels"	0.101454
bulldog	0.101383
"Chicago White Sox"	0.101369
"Baltimore Colts"	0.101177
"Notre Dame"	0.101171
"Colorado Rockies"	0.100955
"Montreal Expos"	0.100819
"San Diego Padres"	0.100509
Lakers	0.0997327
"Buffalo Sabres"	0.099644
"Nashville Predators"	0.0992834
"Toronto Blue Jays"	0.0991789
"Tampa Bay Devil Rays"	0.0991199
"Boston College"	0.0988929
Carolina	0.0988703
"New York Yankees"	0.0988098
"Chicago Cubs"	0.0987022
"Wake Forest"	0.0982487
"Penn State"	0.0982129
Knicks	0.0978782
"Detroit Red Wings"	0.0976529
UNLV	0.0976107
"Seattle SuperSonics"	0.0975683
"Golden State"	0.0975587
"Fresno State"	0.0971842
"Florida Panthers"	0.096965
Phillies	0.0968538
"San Jose State"	0.0967724
Minnesota	0.0966963
"Fighting Irish"	0.0962429
"Orlando Magic"	0.095921
"San Jose Sharks"	0.0957823
"Florida State"	0.095439
"Toronto Raptors"	0.0953536
SMU	0.095042
"Colorado Avalanche"	0.0950304
"Carolina Hurricanes"	0.0947282
maverick	0.0947169
"Georgia Tech"	0.0945747
"North Carolina State"	0.0945088
"San Diego State"	0.0943811
USC	0.0943727
Sonics	0.0942141
"Miami Fusion"	0.0940292
Cal	0.0940182
Saint	0.0939808
Baylor	0.0937596
LSU	0.0936595
Bucs	0.0930877
"blue jay"	0.0928612
"Southern Cal"	0.0928478
"Ohio State"	0.0927406
cavalier	0.0926709
Hornet	0.0926094
"Kansas State"	0.0925761
"D.C. United"	0.0925734
matador	0.0922753
Trojan	0.092224
Canadiens	0.0917712
"New Jersey Devils"	0.091673
"Texas Tech"	0.0914254
Longhorn	0.0913429
Pepperdine	0.0910567
Raptor	0.0908119
Denver	0.0906614
"Los Angeles Galaxy"	0.0904658
Timberwolves	0.0902743
"Virginia Tech"	0.0901984
Padre	0.0900937
Seminoles	0.0898822
cub	0.089736
Milwaukee	0.0896541
islander	0.0894863
"Oklahoma State"	0.0894713
))
("Chicago Blackhawks" (desc 3766.86) (sims
"Calgary Flames"	0.215922
"Vancouver Canucks"	0.215678
"New York Islanders"	0.212042
"Atlanta Thrashers"	0.20878
"Golden State Warriors"	0.206845
"Pittsburgh Penguins"	0.20362
"Detroit Red Wings"	0.194633
"Ottawa Senators"	0.192462
"Montreal Canadiens"	0.191554
"Washington Capitals"	0.188075
"Carolina Hurricanes"	0.18627
"Florida Panthers"	0.184559
"Denver Nuggets"	0.183897
"Buffalo Sabres"	0.182256
"Miami Fusion"	0.175528
"Anaheim Mighty Ducks"	0.175414
"New York Liberty"	0.173499
"Edmonton Oilers"	0.172361
"Colorado Avalanche"	0.171624
"Vancouver Grizzlies"	0.171287
"New York Rangers"	0.168975
"Washington Wizards"	0.168747
"Dallas Burn"	0.16761
"San Jose Sharks"	0.166513
"Boston Bruins"	0.166186
"Tampa Bay Lightning"	0.164973
"Dallas Stars"	0.164314
"Phoenix Coyotes"	0.16114
"Mighty Ducks"	0.159497
"Los Angeles Clippers"	0.158499
"Toronto Maple Leafs"	0.158188
"New York-New Jersey MetroStars"	0.15776
"Dallas Mavericks"	0.154721
"New Jersey Devils"	0.154472
"Nashville Predators"	0.153153
"Philadelphia Flyers"	0.152944
"St. Louis Blues"	0.148326
"Tampa Bay Devil Rays"	0.146787
"Kansas City Royals"	0.143714
Blackhawks	0.142926
"Indianapolis Colts"	0.141013
"Los Angeles Galaxy"	0.137367
"Cincinnati Bengals"	0.135281
"Milwaukee Bucks"	0.134462
"Orlando Magic"	0.134117
"New Jersey Nets"	0.132885
"Charlotte Hornets"	0.132166
"Los Angeles Kings"	0.131899
"Sacramento Kings"	0.131559
"Florida Marlins"	0.129045
"Atlanta Hawks"	0.128488
"Milwaukee Brewers"	0.127046
MetroStars	0.12653
"Philadelphia Eagles"	0.126155
"Washington Mystics"	0.125863
Canadiens	0.12569
"Pittsburgh Pirates"	0.125315
"Minnesota Twins"	0.125225
"Kansas City Chiefs"	0.125155
"Colorado Rockies"	0.124872
"Houston Astros"	0.124762
Canuck	0.124503
"D.C. United"	0.124308
"Portland Trail Blazers"	0.122926
"Minnesota Timberwolves"	0.122585
"Toronto Blue Jays"	0.120918
"Phoenix Mercury"	0.120019
"Cleveland Cavaliers"	0.119631
"Toronto Raptors"	0.119383
"Chicago Bears"	0.119197
"Chicago Fire"	0.117007
"Detroit Pistons"	0.116788
"Utah Jazz"	0.116641
"Philadelphia Phillies"	0.116142
"Oakland Athletics"	0.115862
"New York Knicks"	0.11574
"Phoenix Suns"	0.115688
sabre	0.115392
"Indiana Pacers"	0.115163
"Montana State"	0.115036
"Nottingham Forest"	0.113818
"Boston Celtics"	0.113421
"Red Wings"	0.113097
"Los Angeles Lakers"	0.112483
"Seattle SuperSonics"	0.112228
"San Diego Padres"	0.112113
"Arizona Diamondbacks"	0.11041
"Miami Heat"	0.110313
"Pittsburgh Steelers"	0.109675
"Houston Rockets"	0.109243
"Cincinnati Reds"	0.108906
"Arizona Cardinals"	0.108851
"Montreal Expos"	0.108476
"San Diego Chargers"	0.106757
"St. Louis Cardinals"	0.105885
"Miami Dolphins"	0.105636
"Chicago Bulls"	0.10537
oiler	0.104663
"Green Bay Packers"	0.10463
"Detroit Tigers"	0.103951
"San Francisco Giants"	0.10352
"Anaheim Angels"	0.1034
"Washington Redskins"	0.103388
"Oregon State"	0.103163
"Baltimore Orioles"	0.102325
"New Orleans Saints"	0.101333
"Seattle Mariners"	0.101238
"New York Mets"	0.100823
"Fighting Irish"	0.100713
"Texas Rangers"	0.100331
"Cleveland Indians"	0.100222
"ATLANTA FALCONS"	0.10011
Edmonton	0.099972
panther	0.0996387
"Tennessee Titans"	0.0990523
"Tampa Bay"	0.0981361
"Seibu Lions"	0.0968441
"Chicago Cubs"	0.0964657
"New York Giants"	0.0962533
"Maple Leafs"	0.0962391
"White Sox"	0.0944614
Calgary	0.0944086
A's	0.0941927
"Boston Red Sox"	0.0940622
"San Antonio Spurs"	0.0939413
"St. Louis Rams"	0.0930204
Phillies	0.0929916
"Fresno State"	0.0929909
"Chicago White Sox"	0.0928769
bruin	0.0927284
"San Francisco @@ers"	0.0927066
clipper	0.0926485
"Detroit Lions"	0.0925991
"Los Angeles Sparks"	0.0923344
"Mississippi State"	0.0921049
"Oakland Raiders"	0.0920632
Timberwolves	0.0919923
"Baltimore Ravens"	0.091853
"Trail Blazers"	0.0909385
ranger	0.0907358
Carolina	0.0889432
"Denver Broncos"	0.088832
"Jacksonville Jaguars"	0.0882381
"Washington State"	0.0881951
"Baltimore Colts"	0.0881687
devil	0.0879631
Av	0.0879614
Celtics	0.0873267
"New York Jets"	0.0872054
marlin	0.0868166
"CHARLOTTE STING"	0.0864723
islander	0.0864532
LSU	0.0862236
Redskin	0.086149
"Dallas Cowboys"	0.085902
"Texas Tech"	0.0858342
"Utah State"	0.085818
"Wake Forest"	0.0857746
"Atlanta Braves"	0.0857511
Everton	0.0855116
Padre	0.0852077
"Southern Mississippi"	0.0849174
"Los Angeles Dodgers"	0.084885
ANAHEIM	0.0834499
"Seton Hall"	0.0832742
BEARS	0.0830051
Hornet	0.0829586
"Minnesota Vikings"	0.0829198
"Yokohama Baystars"	0.0827546
"Buffalo Bills"	0.0823518
"Cleveland Browns"	0.0823225
Purdue	0.0820751
pacer	0.0819748
"Oklahoma State"	0.0814884
flyer	0.0814611
"Boston College"	0.0811547
"devil ray"	0.0807422
"Carolina Panthers"	0.0804278
packer	0.0802685
SMU	0.0796562
ASTROS	0.0795069
"New England Patriots"	0.079496
Eagles	0.0793931
Orioles	0.0791188
"New York Yankees"	0.0791139
piston	0.0785335
Vancouver	0.0784066
Montreal	0.0783716
"Louisiana Tech"	0.0781464
coyote	0.0780905
Vanderbilt	0.0766461
"Michigan State"	0.0765284
Stars	0.0764776
Mantilla	0.076336
Rutgers	0.0759037
Seahawks	0.0757359
"Seattle Seahawks"	0.0756873
gamecock	0.0755673
"Arizona State"	0.0754203
Giants	0.0748381
))
("Chicago Board of Trade" (desc 9950.56) (sims
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"Chicago Mercantile Exchange"	0.329388
"Board of Trade"	0.270119
"London Stock Exchange"	0.132962
"New York Stock Exchange"	0.119633
"Nasdaq Stock Market"	0.110551
profit-taking	0.107731
"Toronto Stock Exchange"	0.100729
"Bombay Stock Exchange"	0.0985066
"Singapore Stock Market"	0.0897696
"Tokyo Stock Exchange"	0.0889433
"stock exchange"	0.0853571
yen	0.0821872
"takeover speculation"	0.0765227
bargain-hunting	0.0745577
buying	0.0743662
"Wall Street"	0.0735224
Nasdaq	0.0716333
"American Stock Exchange"	0.0697928
"Pacific Exchange"	0.0689345
"House Budget Committee"	0.0639148
"Big Board"	0.0631924
selling	0.0625644
"Stock Exchange of Hong Kong"	0.0611964
Bourse	0.0576857
"Hong Kong Stock Exchange"	0.0575738
"currency market"	0.0543967
"Karachi Stock Exchange"	0.053278
"National Association of Securities Dealers"	0.0529983
peso	0.0488207
"House International Relations Committee"	0.0487228
"Kuala Lumpur Stock Exchange"	0.0484101
NYSE	0.046397
CEC	0.0461058
DSE	0.046065
"short covering"	0.0455617
"Rules Committee"	0.0454136
AmCham	0.0452605
sharemarket	0.0448661
"foreign exchange market"	0.0446454
"Atomic Energy Commission"	0.044581
NASD	0.0439556
"Levi Strauss &AMP; Co."	0.0438858
"Banking Committee"	0.043623
"House Banking Committee"	0.0435218
DLC	0.0431527
"Los Angeles City Council"	0.0419441
"Senate Budget Committee"	0.0416521
"more than @@@ points"	0.0408585
"Senate Armed Services Committee"	0.0405715
))
("Chicago Bulls" (desc 25075.3) (sims
"Los Angeles Lakers"	0.245011
"Houston Rockets"	0.243815
"San Antonio Spurs"	0.228259
"New York Knicks"	0.221874
bull	0.214287
"Boston Celtics"	0.210558
"Miami Heat"	0.193979
Lakers	0.18863
"Los Angeles Clippers"	0.188017
"Dallas Mavericks"	0.186419
"Indiana Pacers"	0.185383
"Milwaukee Bucks"	0.182027
"Portland Trail Blazers"	0.178094
"Utah Jazz"	0.175519
"Charlotte Hornets"	0.175442
"Sacramento Kings"	0.175072
"Washington Wizards"	0.175039
Celtics	0.172071
"Atlanta Hawks"	0.170129
"Phoenix Suns"	0.169963
"Detroit Pistons"	0.16786
Knicks	0.162978
"Golden State Warriors"	0.160761
"Denver Nuggets"	0.158885
clipper	0.155727
"Green Bay Packers"	0.155191
"Seattle SuperSonics"	0.155161
"Orlando Magic"	0.154799
pacer	0.154382
piston	0.146039
"Cleveland Indians"	0.146037
"Toronto Raptors"	0.145953
"New Jersey Nets"	0.14505
"Minnesota Timberwolves"	0.144613
"Houston Comets"	0.141086
"Miami Dolphins"	0.138846
"Dallas Cowboys"	0.138669
"Cleveland Cavaliers"	0.138183
"Florida Marlins"	0.135111
"Dallas Stars"	0.134731
"Montreal Canadiens"	0.133829
"St. Louis Rams"	0.133759
"San Francisco @@ers"	0.132111
"Denver Broncos"	0.132079
"Edmonton Oilers"	0.13168
"D.C. United"	0.131589
"Red Wings"	0.130409
Sonics	0.130329
"Indianapolis Colts"	0.130302
"Minnesota Vikings"	0.129339
Giants	0.129288
"Detroit Red Wings"	0.129023
"Chicago Bears"	0.128828
"New York Giants"	0.128279
BEARS	0.127911
"Cincinnati Reds"	0.12758
"Buffalo Bills"	0.127036
"ATLANTA FALCONS"	0.125855
"Washington Redskins"	0.1251
oiler	0.12453
"New York Rangers"	0.124129
"Cleveland Browns"	0.124073
Timberwolves	0.123836
Seahawks	0.123404
"San Diego Chargers"	0.123242
"St. Louis Cardinals"	0.122965
"New York Yankees"	0.121946
maverick	0.1216
"Washington Capitals"	0.121426
"Vancouver Grizzlies"	0.121065
"Philadelphia Eagles"	0.119529
Raptor	0.118645
"Atlanta Braves"	0.118561
Hornet	0.118503
spur	0.118175
"New York Jets"	0.11714
bronco	0.116811
"New England Patriots"	0.116736
"Trail Blazers"	0.116334
"Detroit Lions"	0.115952
Orioles	0.114653
dodger	0.114615
sixer	0.113872
"New York Mets"	0.112815
Canadiens	0.112323
"Los Angeles Kings"	0.112097
"Kansas City Chiefs"	0.111728
bruin	0.11137
"Philadelphia Flyers"	0.11121
"Cincinnati Bengals"	0.111194
"Los Angeles Dodgers"	0.111128
"Boston Red Sox"	0.111079
"San Diego Padres"	0.111044
"Detroit Tigers"	0.110907
"Toronto Maple Leafs"	0.110454
grizzly	0.110041
"Baltimore Orioles"	0.109425
ASTROS	0.109298
packer	0.108879
"Carolina Panthers"	0.108658
"Kansas City Royals"	0.108638
"Milwaukee Brewers"	0.108217
Eagles	0.108205
ram	0.107477
Yankee	0.107457
cardinal	0.107132
Mets	0.106866
A's	0.106676
"Houston Astros"	0.106436
"blue jay"	0.106227
brave	0.106104
cowboy	0.106079
"Tennessee Titans"	0.105723
"Colorado Avalanche"	0.105698
"Oakland Athletics"	0.105683
"Red Sox"	0.105527
"Chicago Blackhawks"	0.10537
"New York Liberty"	0.104811
falcon	0.104741
"New Orleans Saints"	0.10433
"White Sox"	0.104232
"Green Bay"	0.103883
"Pittsburgh Steelers"	0.103879
Bengals	0.10352
Supersonics	0.102979
"Oakland Raiders"	0.102834
"Chicago Cubs"	0.102402
hawk	0.102155
"Calgary Flames"	0.10215
panther	0.101197
Portland	0.101033
"New Jersey Devils"	0.100943
"New York Islanders"	0.100657
marlin	0.100598
"Arizona Diamondbacks"	0.100546
Viking	0.10032
"San Antonio"	0.100284
"Michigan State"	0.100219
cub	0.0997741
"Vancouver Canucks"	0.0996619
"Pittsburgh Penguins"	0.0993998
"Boston Bruins"	0.0992379
ranger	0.0988652
Chicago	0.0988114
"Seattle Seahawks"	0.0986278
"Maple Leafs"	0.0985839
Phillies	0.0983557
Detroit	0.0977857
husky	0.0974352
Padre	0.0973709
"Texas Rangers"	0.0971687
Redskin	0.0970011
"Chicago Fire"	0.0963203
"Buffalo Sabres"	0.0961703
cavalier	0.0961595
"Philadelphia Phillies"	0.0952223
"Seattle Mariners"	0.0949676
"Tampa Bay"	0.0948076
"Minnesota Twins"	0.0946555
"Baltimore Ravens"	0.0943144
Juventus	0.0942684
Indiana	0.0942238
"Nashville Predators"	0.0938857
UCLA	0.0937053
"Tampa Bay Lightning"	0.0936413
"Arizona Cardinals"	0.0935849
Cleveland	0.0934258
flyer	0.0933722
charger	0.0932865
"Pittsburgh Pirates"	0.0929408
Canuck	0.0929261
"Jacksonville Jaguars"	0.0925654
patriot	0.0924513
"Florida Panthers"	0.0923543
"Tar Heels"	0.0921778
sabre	0.092081
"Tampa Bay Devil Rays"	0.0920693
"Toronto Blue Jays"	0.0915682
"Florida State"	0.091456
nugget	0.0910745
diamondback	0.0910455
colt	0.0909086
Purdue	0.0908018
MetroStars	0.0905439
"San Francisco Giants"	0.0901599
raider	0.0901211
"Colorado Rockies"	0.089955
"Carolina Hurricanes"	0.0899464
"Ohio State"	0.0899303
Denver	0.0895553
Steelers	0.0894693
Houston	0.0893185
"Golden State"	0.0891047
Gonzaga	0.0890468
"Chicago White Sox"	0.089045
"Dallas Burn"	0.0889921
wildcat	0.0888224
"Tampa Bay Buccaneers"	0.0887856
Edmonton	0.0881769
Toronto	0.0878402
))
("Chicago Cubs" (desc 27573.7) (sims
cub	0.300768
"New York Mets"	0.286166
"St. Louis Cardinals"	0.28308
"Cleveland Indians"	0.267615
"Cincinnati Reds"	0.2664
"Los Angeles Dodgers"	0.257868
"Chicago White Sox"	0.254579
"Houston Astros"	0.252409
"Boston Red Sox"	0.25157
"Detroit Tigers"	0.250426
"San Francisco Giants"	0.2487
"Pittsburgh Pirates"	0.24689
"New York Yankees"	0.243163
"San Diego Padres"	0.243049
"Atlanta Braves"	0.241087
"Milwaukee Brewers"	0.237546
"Montreal Expos"	0.235366
"Arizona Diamondbacks"	0.232467
"Oakland Athletics"	0.230252
"Florida Marlins"	0.228511
"Texas Rangers"	0.226461
Mets	0.226357
"Baltimore Orioles"	0.225764
"Toronto Blue Jays"	0.224954
"Philadelphia Phillies"	0.223011
"Minnesota Twins"	0.218421
"Seattle Mariners"	0.214924
"Anaheim Angels"	0.213405
"Colorado Rockies"	0.206573
"Kansas City Royals"	0.204002
Cincinnati	0.199172
ASTROS	0.192377
"Tampa Bay"	0.190264
Phillies	0.188217
"N.Y. Mets"	0.187186
Oakland	0.187039
diamondback	0.186326
Orioles	0.185194
"White Sox"	0.184754
dodger	0.183832
Milwaukee	0.183643
Padre	0.181332
"Red Sox"	0.179514
Yankee	0.17752
ANAHEIM	0.175059
A's	0.174139
"St. Louis"	0.173657
Giants	0.171605
Cleveland	0.17115
brave	0.170832
"New York Giants"	0.170678
"blue jay"	0.170251
Pittsburgh	0.168638
Baltimore	0.164516
"San Diego"	0.164066
"Tampa Bay Devil Rays"	0.163708
Toronto	0.162713
Montreal	0.162192
mariner	0.161665
marlin	0.157334
ranger	0.153997
Detroit	0.152127
"Brooklyn Dodgers"	0.151412
cardinal	0.150073
Royals	0.148377
"Calgary Flames"	0.143003
Colorado	0.142889
"Kansas City"	0.14067
"New York Jets"	0.140074
Houston	0.138988
"California Angels"	0.138222
Arizona	0.137557
Seattle	0.137512
Philadelphia	0.13728
angel	0.137251
"Washington Redskins"	0.136475
Minnesota	0.136386
Expo	0.1349
Carolina	0.134728
"devil ray"	0.134029
"New York Rangers"	0.132848
Chicago	0.132625
Sox	0.132045
"Green Bay"	0.131818
Atlanta	0.128607
pirate	0.128079
"Los Angeles Lakers"	0.127887
"Golden State Warriors"	0.127526
brewer	0.125168
"Indianapolis Colts"	0.124794
Rockies	0.12439
Boston	0.123878
"Green Bay Packers"	0.12342
Edmonton	0.122052
"Atlanta Hawks"	0.12173
"Sacramento Kings"	0.121262
"New York Islanders"	0.118919
"Dallas Cowboys"	0.118104
"Ottawa Senators"	0.117112
"Detroit Pistons"	0.117059
"San Francisco"	0.116496
"Miami Dolphins"	0.114546
Indian	0.113163
Calgary	0.113053
"Edmonton Oilers"	0.112605
"Montreal Canadiens"	0.112227
"Florida Panthers"	0.112209
Dallas	0.111959
"Toronto Maple Leafs"	0.111209
"Mighty Ducks"	0.111162
"Minnesota Vikings"	0.109071
Lakers	0.108998
"San Jose Sharks"	0.108752
"Los Angeles Clippers"	0.108638
"Colorado Avalanche"	0.108389
"San Francisco @@ers"	0.108066
"Dallas Mavericks"	0.10796
Knicks	0.107738
islander	0.107586
"New York Knicks"	0.107475
"New England Patriots"	0.107085
"Houston Rockets"	0.106713
"Charlotte Hornets"	0.106553
"Los Angeles Kings"	0.105809
"Washington Capitals"	0.105526
"Philadelphia Eagles"	0.104984
Buffalo	0.104566
"Phoenix Suns"	0.104262
"Vancouver Canucks"	0.104221
Seahawks	0.103772
"Philadelphia Flyers"	0.102853
"Chicago Bulls"	0.102402
Vancouver	0.101685
"Utah Jazz"	0.101149
BEARS	0.100834
Denver	0.100813
"Dallas Stars"	0.100227
clipper	0.0998715
"St. Louis Rams"	0.0996847
"New Jersey Nets"	0.0995501
Celtics	0.0994566
"Indiana Pacers"	0.0992657
Phoenix	0.099122
Redskin	0.0988787
"Chicago Bears"	0.0987022
"San Antonio Spurs"	0.0986332
"Detroit Red Wings"	0.0986099
Eagles	0.0981342
"Boston Celtics"	0.0977373
"Arizona Cardinals"	0.0977277
"San Diego Chargers"	0.0977054
"Cleveland Browns"	0.097422
"Carolina Hurricanes"	0.0971193
"ATLANTA FALCONS"	0.0970691
red	0.0968578
Ottawa	0.0966728
"Miami Heat"	0.0965986
"Chicago Blackhawks"	0.0964657
Sacramento	0.0964007
"Minnesota Timberwolves"	0.0962303
"N.Y. Rangers"	0.0955529
"Milwaukee Bucks"	0.0955175
panther	0.0950871
tiger	0.0948839
"Buffalo Sabres"	0.0948176
"Oakland Raiders"	0.0946569
Jacksonville	0.0944731
Florida	0.0943783
"Buffalo Bills"	0.0943651
Charlotte	0.0942878
"Orlando Magic"	0.0935919
"Detroit Lions"	0.0934519
"New Orleans"	0.0933854
"Boston Bruins"	0.0933781
"Phoenix Coyotes"	0.0931687
"San Jose"	0.0931311
"Seattle Seahawks"	0.0931273
MetroStars	0.0921227
"Los Angeles"	0.0919845
"Washington Wizards"	0.0919804
"New Orleans Saints"	0.091695
Portland	0.0913483
"Tennessee Titans"	0.0912309
"Kansas City Chiefs"	0.0912052
"Maple Leafs"	0.0911713
"Portland Trail Blazers"	0.0911548
"Nashville Predators"	0.0909726
"Washington Senators"	0.0908469
Bengals	0.0907916
"Denver Nuggets"	0.0907367
"Denver Broncos"	0.089461
"Pittsburgh Penguins"	0.0893089
Orlando	0.089177
"N.Y. Islanders"	0.0890977
Blackhawks	0.0888419
Timberwolves	0.0883559
oiler	0.088348
piston	0.0880755
"Tampa Bay Lightning"	0.0878741
Canuck	0.0876682
))
("Chicago Fire" (desc 2834.33) (sims
"D.C. United"	0.25178
"Miami Fusion"	0.202304
"Dallas Burn"	0.197577
"Seibu Lions"	0.179229
"New York-New Jersey MetroStars"	0.174229
"Nashville Predators"	0.165784
"Houston Comets"	0.164585
"San Antonio Spurs"	0.159804
"Dallas Stars"	0.157011
"Detroit Red Wings"	0.156765
"Buffalo Sabres"	0.154718
"Los Angeles Galaxy"	0.154389
"Calgary Flames"	0.153791
"Phoenix Coyotes"	0.153137
"CHARLOTTE STING"	0.15252
"Shanghai Shenhua"	0.147619
"San Jose Sharks"	0.145139
"Edmonton Oilers"	0.14503
"Toronto Maple Leafs"	0.143183
"Conchita Martinez"	0.142785
"New York Liberty"	0.140649
"Jan-Ove Waldner"	0.139123
"Phoenix Mercury"	0.137308
"River Plate"	0.137272
"Iva Majoli"	0.136855
"Dalian Wanda"	0.135004
"Washington Capitals"	0.134727
"Utah Jazz"	0.13367
"Ottawa Senators"	0.133159
"Colorado Avalanche"	0.132972
"Yokohama Baystars"	0.132954
"Sergi Bruguera"	0.132535
"Carolina Hurricanes"	0.131077
"Jubilo Iwata"	0.130645
MetroStars	0.129618
"Patty Schnyder"	0.129292
"St. Louis Blues"	0.12904
"Albert Costa"	0.127611
"Jansher Khan"	0.127289
"Weber State"	0.126456
Majoli	0.12607
"Arantxa Sanchez Vicario"	0.125885
Palmeiras	0.125368
"Arizona Diamondbacks"	0.125086
"Ivan Pedroso"	0.124625
"Rodney Eyles"	0.124376
"Mississippi State"	0.123323
"Ye Zhaoying"	0.122743
"Felix Mantilla"	0.122621
Olympiakos	0.122369
"Golden State Warriors"	0.12176
"Atlanta Hawks"	0.121385
"Pittsburgh Penguins"	0.120866
"Ai Sugiyama"	0.120644
"Arantxa Sanchez-Vicario"	0.120431
"Tampa Bay Devil Rays"	0.119463
"Phenix City"	0.119021
"Mary Pierce"	0.118854
"Atlanta Thrashers"	0.118752
"Lindsay Davenport"	0.11861
Gremio	0.118536
"Deon Hemmings"	0.118363
"Peter Rasmussen"	0.118176
"Carlos Moya"	0.117915
"Scott Draper"	0.117787
"Magnus Gustafsson"	0.11767
"Heryanto Arbi"	0.117652
Kaiserslautern	0.117643
"Richard Krajicek"	0.117597
"San Francisco Giants"	0.117202
"Chicago Blackhawks"	0.117007
"American Pete Sampras"	0.116883
"Denver Broncos"	0.116554
"Elena Berezhnaya"	0.116403
"Roger Federer"	0.116345
"Paul Tergat"	0.116171
"Johan Museeuw"	0.116097
"Russian Yevgeny Kafelnikov"	0.116076
Galatasaray	0.115851
"Jonathan Stark"	0.115668
"Australian Mark Philippoussis"	0.115647
"Vancouver Canucks"	0.115327
"Boston Bruins"	0.115208
"Marc Rosset"	0.115072
Karpov	0.115049
"Yevgeny Kafelnikov"	0.114839
"Green Bay Packers"	0.114188
"Fighting Irish"	0.113895
"Magdalena Maleeva"	0.113679
"Philadelphia Flyers"	0.11335
"Thomas Enqvist"	0.11301
"San Diego Padres"	0.113006
"Borussia Dortmund"	0.112989
Dosedel	0.112662
"Thomas Muster"	0.112625
"Red Wings"	0.11254
"Fatuma Roba"	0.112462
"Arnaud Di Pasquale"	0.112298
"Miami Heat"	0.112187
"Bayi Rockets"	0.112133
corinthian	0.112089
"Svetlana Khorkina"	0.111992
"Jennifer Capriati"	0.111831
"Michael Von Gruenigen"	0.111796
"Anatoly Karpov"	0.111639
Villanova	0.111634
"Partizan Belgrade"	0.111584
"Los Angeles Sparks"	0.111374
"Wayne Ferreira"	0.111131
Lehigh	0.111094
"Todd Martin"	0.111047
Susanti	0.110625
"Olympiakos Piraeus"	0.110618
"Ge Fei"	0.110522
"Tennessee Titans"	0.110514
"Peter Gade Christensen"	0.110203
"Minnesota Twins"	0.110176
Kuerten	0.110062
"Fernando Meligeni"	0.10995
Bruguera	0.10982
"Portland Trail Blazers"	0.109775
Brondby	0.109548
"Utah State"	0.10951
"Phoenix Suns"	0.109475
"Jana Novotna"	0.109399
Berasategui	0.109055
"Monica Seles"	0.108781
"Serena Williams"	0.108525
"Johnny Tapia"	0.108418
"Gustavo Kuerten"	0.108193
"Indiana Pacers"	0.10818
"Oakland Athletics"	0.107979
"Rainer Schuttler"	0.107881
Purdue	0.107819
"American Chanda Rubin"	0.107257
"Kenny Brack"	0.10668
"Amy Frazier"	0.106546
"Barbara Schett"	0.106386
"Francisco Clavet"	0.106164
"Houston Rockets"	0.106073
"Michigan State"	0.106052
"Mariano Puerta"	0.106004
"Kong Linghui"	0.105969
"Gil Morgan"	0.105802
UNLV	0.105418
"Filip Dewulf"	0.105382
"Annika Sorenstam"	0.104894
"Detroit Pistons"	0.104787
"Anaheim Mighty Ducks"	0.104618
Sautin	0.104295
"Louisiana Tech"	0.103923
"Nathalie Dechy"	0.10392
Gama	0.1037
"Real Madrid"	0.103427
"Karim Alami"	0.103351
"Minnesota Timberwolves"	0.10311
Zamalek	0.10289
"Los Angeles Lakers"	0.102782
"Florida Panthers"	0.102721
"Colorado State"	0.102501
"Southwest Missouri State"	0.102459
Kafelnikov	0.102454
"Fu Mingxia"	0.102271
"Sandrine Testud"	0.102228
"Dominique Van Roost"	0.101873
"Magnus Norman"	0.101856
"Sargis Sargsian"	0.101834
"Patrick Rafter"	0.101441
"Fabrice Santoro"	0.10133
"Kansas City Royals"	0.101298
"Jean-Philippe Gatien"	0.101146
"Kinder Bologna"	0.101136
"Arnaud Clement"	0.101019
"Bafana Bafana"	0.100803
"Cleveland Indians"	0.100745
"Team USA"	0.100712
"Marat Safin"	0.100642
"Damon Hill"	0.100466
"Sebastien Grosjean"	0.0999821
"Nicolas Escude"	0.0999752
"Jason Stoltenberg"	0.0996674
"Moses Tanui"	0.0996137
"Andrei Medvedev"	0.0995395
"Michael Chang"	0.0995234
Jansher	0.0993761
"Alexei Yagudin"	0.0993476
"Jacques Villeneuve"	0.0993052
"Penny Heyns"	0.0992791
"Elena Likhovtseva"	0.0992353
"Maple Leafs"	0.0992016
"Steffi Graf"	0.0991743
"Mighty Ducks"	0.0991446
"Los Angeles Kings"	0.0990604
"Roy Jones Jr."	0.0989051
"Buster Douglas"	0.0987697
"American Lindsay Davenport"	0.0985051
"Martina Hingis"	0.0982299
"Texas Tech"	0.0980741
"Wang Tao"	0.0980216
"Tar Heels"	0.0979629
))
("Chicago Hope" (desc 5572.94) (sims
"Law &AMP; Order"	0.192119
"NYPD Blue"	0.179304
"Drew Carey Show"	0.165246
"Everybody Loves Raymond"	0.163928
E.R	0.159328
"Ally McBeal"	0.158098
"Melrose Place"	0.157749
Frasier	0.14115
"Home Improvement"	0.138959
Seinfeld	0.133124
X-Files	0.129973
"Murphy Brown"	0.1299
er	0.128168
Felicity	0.122554
Profiler	0.116314
"Third Watch"	0.116189
"Suddenly Susan"	0.112043
"The Sopranos"	0.109
Simpsons	0.108556
"West Wing"	0.103016
Falcone	0.0994626
"Harsh Realm"	0.0973914
"Nash Bridges"	0.0972681
Baywatch	0.0960888
"Cosby Show"	0.0951525
"situation comedy"	0.094242
"Star Trek"	0.0917474
"Sports Night"	0.0903259
Buffy	0.0862832
"Spin City"	0.0860929
snoop	0.0850528
"South Park"	0.0832207
"Twin Peaks"	0.0818818
"Twilight Zone"	0.0809656
"Larry Sanders Show"	0.0799519
Futurama	0.0797142
sitcom	0.0783306
"Family Guy"	0.077512
"Sesame Street"	0.0770566
"Love Boat"	0.075211
"Will &AMP; Grace"	0.0742456
soprano	0.0739173
Xena	0.0730332
newsmagazine	0.0724591
"martial law"	0.0720549
"Brady Bunch"	0.0696919
"Beverly Hills"	0.0690695
jag	0.0680458
Cosby	0.0680431
Dharma	0.0662955
"Big Brother"	0.0650445
"picket fence"	0.0647983
"soap opera"	0.0642884
Moesha	0.0625626
"Texas ranger"	0.0624534
Dawson	0.0622529
wiseguy	0.0621362
"Early Show"	0.0614897
Cupid	0.0606512
Dilbert	0.0600274
Sabrina	0.0598583
"Dharma &AMP; Greg"	0.0596651
Roseanne	0.0596358
wonderland	0.0582165
homicide	0.0577846
Babylon	0.056302
"Late Show"	0.0561559
"Steven Bochco"	0.0552965
Teletubbies	0.0547498
"guiding light"	0.0546933
Oz	0.0539232
Ellen	0.0539052
"Get Real"	0.0531763
Becker	0.0529609
serial	0.0527612
"Vampire Slayer"	0.0526813
"General Hospital"	0.0524696
Gideon	0.0517858
Malcolm	0.0502456
NOVA	0.0501606
"Night Football"	0.0495004
Beavis	0.0494212
"David E. Kelley"	0.0492998
"Jerry Springer"	0.0490401
"promised land"	0.0480461
"television show"	0.0477074
Sleepwalking	0.0475536
trinity	0.0475272
"Saving Private Ryan"	0.047245
"game show"	0.0470526
"Drew Carey"	0.0467974
Providence	0.0465761
Rugrats	0.0465758
"Night Live"	0.0462248
"Fantasy Island"	0.0461721
"variety show"	0.0461366
"Home Run Derby"	0.0461217
"James Gandolfini"	0.0457955
dragnet	0.0450276
miniseries	0.0443576
ECW	0.0442843
"Michael J. Fox"	0.0442336
"TV show"	0.0440869
"Politically Incorrect"	0.0437641
Roswell	0.0437279
Gunsmoke	0.0434684
"Love Lucy"	0.0431141
Voyager	0.0421479
Oprah	0.0420124
"Who Wants"	0.041906
"Dateline NBC"	0.0416688
wasteland	0.0414106
"Tonight Show"	0.0410798
"safe harbor"	0.0406147
Quinn	0.0400382
))
("Chicago Mercantile Exchange" (desc 3750.71) (sims
"New York Mercantile Exchange"	0.399798
"Chicago Board of Trade"	0.329388
"Board of Trade"	0.309836
"New York Stock Exchange"	0.131562
"Toronto Stock Exchange"	0.124683
"Singapore Stock Market"	0.114832
"London Stock Exchange"	0.114657
profit-taking	0.111737
"Nasdaq Stock Market"	0.0937754
"stock exchange"	0.0890111
"Tokyo Stock Exchange"	0.0864028
"Bombay Stock Exchange"	0.0839223
"takeover speculation"	0.0802887
"Hong Kong Stock Exchange"	0.0687986
"American Stock Exchange"	0.0624938
"Big Board"	0.0572178
bargain-hunting	0.0568861
"Karachi Stock Exchange"	0.0549646
"London Metal Exchange"	0.0543181
LIFFE	0.0542642
"currency market"	0.0499802
"foreign exchange market"	0.049477
NYSE	0.0479285
))
("Chicago Sun-Times" (desc 2398.06) (sims
Newsday	0.259251
"Orange County Register"	0.248984
"Detroit News"	0.244321
"New York Daily News"	0.225307
"Chicago Tribune"	0.223836
"New York Post"	0.215133
"Los Angeles Times"	0.213125
"Miami Herald"	0.207838
"San Antonio Express-News"	0.204553
"Dallas Morning News"	0.203568
"St. Louis Post-Dispatch"	0.20334
"San Francisco Examiner"	0.197896
"Des Moines Register"	0.18981
"San Jose Mercury News"	0.189696
"Denver Post"	0.188273
"Cincinnati Enquirer"	0.187561
"Washington Times"	0.185125
"Daily Telegraph"	0.178952
"Village Voice"	0.175593
"Washington Post"	0.172217
"Philadelphia Inquirer"	0.17009
"Seattle Times"	0.168116
"Kansas City Star"	0.168018
"Advertising Age"	0.164941
"New York Observer"	0.162234
"USA TODAY"	0.162191
"Hartford Courant"	0.159851
"Wall Street Journal"	0.151566
Newsweek	0.150961
Star-Telegram	0.148706
"Houston Chronicle"	0.147
Inquirer	0.144381
"Boston Globe"	0.142798
"Atlanta Journal"	0.141015
"United Press International"	0.140866
"Daily News"	0.138383
"San Francisco Chronicle"	0.137999
"Detroit Free Press"	0.137817
"Arizona Republic"	0.136121
"Atlanta Journal-Constitution"	0.135535
Maariv	0.134891
"New York Times"	0.13382
Haaretz	0.132498
"Palm Beach Post"	0.129662
"National Journal"	0.128338
"Fort Worth Star-Telegram"	0.128326
"Hollywood Reporter"	0.128051
"Boston Herald"	0.128018
"Austin American-Statesman"	0.127233
"Jerusalem Post"	0.126179
Star-Ledger	0.122377
"National Post"	0.12065
"TV guide"	0.118185
"New York Herald Tribune"	0.11764
"Atlanta Constitution"	0.11715
"Seattle Post-Intelligencer"	0.117067
"Financial Times"	0.114839
"New Straits Times"	0.114616
telegraph	0.112822
"Dayton Daily News"	0.11129
"Yomiuri Shimbun"	0.110657
"Business Week"	0.109567
"Der Spiegel"	0.107116
"U.S. News"	0.106915
"New Republic"	0.106524
"New York Times Magazine"	0.106103
"Atlantic Monthly"	0.10558
Esquire	0.105058
"International Herald Tribune"	0.102628
"Sydney Morning Herald"	0.100448
"Evening Standard"	0.0999207
Times	0.0987185
"El Mundo"	0.0982329
"Moscow Times"	0.097426
MTI	0.0968615
"Le Figaro"	0.095319
"Koha Ditore"	0.093377
tribune	0.0930421
Hurriyet	0.0928045
"Business Times"	0.0915106
"Straits Times"	0.0914621
"tabloid newspaper"	0.09125
JAMA	0.0911774
"Rolling Stone"	0.0909256
"Asahi Shimbun"	0.0896127
"New York Times Book Review"	0.0895443
"Sports Illustrated"	0.0887469
Izvestia	0.0882043
Granma	0.0878046
"Cox Newspapers"	0.0868129
"El Pais"	0.0860661
"New England Journal"	0.0855734
"Consumer Reports"	0.0855354
Post-Intelligencer	0.0853133
"Bloomberg News"	0.0852395
"Iran News"	0.0851686
"Daily Mail"	0.0842163
Enquirer	0.0836719
"World Report"	0.0834302
Oregonian	0.0829428
gazette	0.0823911
Notimex	0.0807422
"Nihon Keizai Shimbun"	0.0802302
ESPN.com	0.0794979
"Guangming Daily"	0.0793296
Sowetan	0.0785759
"Yediot Ahronot"	0.0785417
tabloid	0.0775795
"Le Monde"	0.0775561
Asahi	0.0764557
IRNA	0.0760294
"New York Times Co."	0.0760003
"Post Express"	0.0759542
TheStreet.com	0.0759011
pi	0.0754558
"Nihon Keizai"	0.0748102
"Weekly Standard"	0.0746768
"Associated Press"	0.0745907
Politika	0.0742239
Lusa	0.0742236
"Cyprus News Agency"	0.0740829
Tass	0.0740685
"Agence France Presse"	0.0739175
WAM	0.0734601
Yomiuri	0.0730873
al-Hayat	0.0727409
"Egyptian Middle East News Agency"	0.0726274
"Korean Central News Agency"	0.0725566
"ABC News"	0.0724067
"Al Ahram"	0.0723739
"Ghana News Agency"	0.0723706
"CBS News"	0.0722761
"National Association of Realtors"	0.0721113
CTV	0.0716767
"vanity fair"	0.0710384
"Free Press"	0.0708914
"National Enquirer"	0.0708613
"Macao Daily News"	0.0701801
"New Nigerian"	0.0698297
"Sporting News"	0.0696102
Antara	0.0694892
Reforma	0.069402
"Indonesian Observer"	0.0693884
"Ethiopian Herald"	0.0689742
ABS-CBN	0.0687266
Kommersant	0.0686875
"Vietnam News"	0.0686333
"Tehran Times"	0.0686029
"Kathmandu Post"	0.0682312
"Zambia News Agency"	0.0679504
"Hearst Newspapers"	0.0675754
BS	0.0673555
"U.S. Labor Department"	0.066651
Al-Ahram	0.0665702
"Southern African Broadcasting Association"	0.0659125
"Dateline NBC"	0.065815
Malaya	0.065635
"Dow Jones Newswires"	0.0653722
"Kyodo News"	0.0653327
"The Monitor"	0.0653172
KPL	0.0650791
"Daily Times"	0.0650156
OED	0.0649034
Ansa	0.0647484
"wire service"	0.0646693
Salam	0.0645075
Noticias	0.064425
"Zimbabwe News Agency"	0.0644045
"South China Morning Post"	0.0641893
"Daily Nation"	0.0636595
NHK	0.0636494
Angop	0.0636367
"Xinhua News Agency"	0.0635753
"press agency"	0.0635426
"Wen Wei Po"	0.0627502
"Australian Associated Press"	0.0626856
ISTAT	0.0626312
Ebert	0.062469
"Rwanda News Agency"	0.0621987
"China Daily Business Weekly"	0.0621219
"International Business Daily"	0.0620248
"Entertainment Weekly"	0.0618089
"Business Day"	0.0616593
periodical	0.061655
"Gallup Poll"	0.0616471
Bild	0.0613897
APA	0.0613384
L'Equipe	0.0609245
"Alam Al Yom"	0.0607608
"Cable News Network"	0.060662
ATA	0.0605142
"East African"	0.0604574
"Wear Daily"	0.0600335
newsmagazine	0.0596809
"Ethiopian News Agency"	0.0594209
"Egyptian Gazette"	0.0593649
"Kyodo News Service"	0.0592985
"Fox Sports News"	0.0589328
Tennessean	0.0583
RSS	0.0581746
))
("Chicago Tribune" (desc 6579.2) (sims
"Los Angeles Times"	0.334755
"Washington Times"	0.331801
"New York Post"	0.304112
"Dallas Morning News"	0.292644
"Washington Post"	0.283249
"Wall Street Journal"	0.2773
"USA TODAY"	0.271748
Newsday	0.267033
"Miami Herald"	0.261133
"New York Daily News"	0.260875
"Philadelphia Inquirer"	0.256278
"Boston Globe"	0.249104
Newsweek	0.242216
"St. Louis Post-Dispatch"	0.242078
"New York Times"	0.237254
Haaretz	0.236108
"San Francisco Examiner"	0.23134
"San Jose Mercury News"	0.230927
"Boston Herald"	0.226516
"Chicago Sun-Times"	0.223836
"Denver Post"	0.22265
"Houston Chronicle"	0.222383
"Arizona Republic"	0.222032
"Seattle Times"	0.21499
"San Francisco Chronicle"	0.213295
"Detroit News"	0.213197
"Kansas City Star"	0.212497
"Hartford Courant"	0.205753
"Daily News"	0.204524
"International Herald Tribune"	0.202212
"Atlanta Journal-Constitution"	0.198923
"Village Voice"	0.196829
"Le Figaro"	0.195109
"Detroit Free Press"	0.192667
"Jerusalem Post"	0.192426
"Straits Times"	0.191227
"San Antonio Express-News"	0.187847
"Austin American-Statesman"	0.186514
"Orange County Register"	0.183836
"Financial Times"	0.181988
"Daily Telegraph"	0.18132
"New York Observer"	0.180666
"Sydney Morning Herald"	0.177479
Times	0.170316
"Le Monde"	0.169744
"Fort Worth Star-Telegram"	0.167438
"Cincinnati Enquirer"	0.163427
"Advertising Age"	0.157904
Star-Ledger	0.157591
"New Straits Times"	0.156507
"Koha Ditore"	0.153032
"Des Moines Register"	0.152056
"Daily Mail"	0.151009
Star-Telegram	0.149009
Maariv	0.147883
"El Pais"	0.147037
"Palm Beach Post"	0.144486
"Atlanta Constitution"	0.143466
"New Republic"	0.140951
tribune	0.13933
"South China Morning Post"	0.138863
Herald	0.137866
"Rolling Stone"	0.137598
"New York Times Magazine"	0.136754
"Der Spiegel"	0.136688
"Atlantic Monthly"	0.136176
"TV guide"	0.136042
"United Press International"	0.135759
Reforma	0.1345
telegraph	0.132353
"New York Herald Tribune"	0.131582
"Seattle Post-Intelligencer"	0.13139
"Yediot Ahronot"	0.131375
"Associated Press"	0.130108
"Atlanta Journal"	0.129984
"Dayton Daily News"	0.129496
"Cox Newspapers"	0.127545
"World Report"	0.127376
"Hollywood Reporter"	0.127213
Sowetan	0.126256
Esquire	0.12598
al-Hayat	0.124867
"Sports Illustrated"	0.124835
"NBC News"	0.124428
"New England Journal"	0.122297
Kommersant	0.122253
"Tehran Times"	0.121811
Inquirer	0.121635
"Business Times"	0.120891
"Bloomberg News"	0.12013
globe	0.119424
"Moscow Times"	0.118726
"U.S. News"	0.117319
"National Journal"	0.116889
"Guangming Daily"	0.116145
chronicle	0.115407
BBC	0.115045
IRNA	0.114927
Izvestia	0.114214
"Dow Jones Newswires"	0.113487
"El Mundo"	0.112127
Bild	0.109426
Malaya	0.107879
"CBS News"	0.107204
journal	0.106641
"Business Week"	0.106515
"vanity fair"	0.105955
"Free Press"	0.105433
Granma	0.104994
Reuters	0.10481
Oregonian	0.103683
Angop	0.103514
"Egyptian Gazette"	0.102994
"Indonesian Observer"	0.102684
"U.S. Labor Department"	0.102489
"Cable News Network"	0.101887
"Xinhua News Agency"	0.101482
"Post Express"	0.100863
"Weekly Standard"	0.100545
"National Post"	0.100487
"Ethiopian Herald"	0.0998665
"Macao Daily News"	0.0987021
"Egyptian Middle East News Agency"	0.0985071
"Korean Central News Agency"	0.0980913
"Financial Mail"	0.0979517
Post-Intelligencer	0.0978097
"ABC News"	0.0975229
"Consumer Reports"	0.097515
"Al Ahram"	0.0973156
"Iraqi News Agency"	0.0969155
"Israel Radio"	0.0967566
weekly	0.0967534
gazette	0.0965033
Lancet	0.0962358
Ansa	0.0958251
"National Enquirer"	0.095647
"Business Weekly"	0.0955215
Guardian	0.0955066
"Business Day"	0.0954616
Noticias	0.0952449
tabloid	0.0951144
"British Broadcasting Corporation"	0.0946407
"New York Times Book Review"	0.0937178
JAMA	0.0932938
L'Equipe	0.0931437
"American Journal"	0.0930982
"Daily Star"	0.0926806
Enquirer	0.0919904
"Associated Press of Pakistan"	0.0913747
CNN	0.0908281
"Iran News"	0.0904228
"tabloid newspaper"	0.0903928
Hurriyet	0.0896477
"New Nigerian"	0.0890647
"News Agency of Nigeria"	0.0877831
"Zimbabwe News Agency"	0.0877529
Lusa	0.0875203
"Saudi Press Agency"	0.087061
"Radio Liberty"	0.0865603
Salam	0.0849317
"Middle East News Agency"	0.0849257
pi	0.0847581
"Times Mirror Co."	0.084548
Tennessean	0.084442
"Khaleej Times"	0.0839702
ESPN.com	0.083603
"Al Hayat"	0.0835673
"Yomiuri Shimbun"	0.083247
Al-Ahram	0.0832095
"Agence France Presse"	0.0831462
"Daily Times"	0.0831171
"Asahi Shimbun"	0.0826912
Antara	0.081702
"Kenya Times"	0.0816779
MTI	0.0809972
"Bangkok Post"	0.0807644
examiner	0.0804243
"Evening Standard"	0.0804104
"Cox News Service"	0.0802738
"East African Standard"	0.0799394
"New Vision"	0.0798949
"National Association of Realtors"	0.0797742
Gallup	0.0797435
"roll call"	0.079383
"Alam Al Yom"	0.0788081
"Ghana News Agency"	0.0787202
"Daily Nation"	0.0786117
"Zambia Daily Mail"	0.0777053
Tass	0.0775148
"Vietnam News Agency"	0.0773269
"Turkish Daily News"	0.0772474
"The Monitor"	0.0770601
"Sporting News"	0.0763797
"China Daily"	0.0763491
"Jordan Times"	0.0761238
"Hearst Newspapers"	0.0760892
"New York Review"	0.0755888
"Jakarta Post"	0.0755192
"Kuwait News Agency"	0.0754928
"China Daily Business Weekly"	0.0753136
))
("Chicago White Sox" (desc 17080.3) (sims
"White Sox"	0.290707
"St. Louis Cardinals"	0.267616
"New York Mets"	0.266355
"Boston Red Sox"	0.264598
"Detroit Tigers"	0.259578
"Houston Astros"	0.259528
"Kansas City Royals"	0.2549
"Chicago Cubs"	0.254579
"Cleveland Indians"	0.251129
"Seattle Mariners"	0.242852
"San Diego Padres"	0.239424
"New York Yankees"	0.237101
"N.Y. Yankees"	0.236938
"Los Angeles Dodgers"	0.233666
"Baltimore Orioles"	0.233481
"Toronto Blue Jays"	0.229605
"Cincinnati Reds"	0.227098
"Milwaukee Brewers"	0.222028
"Pittsburgh Pirates"	0.221002
"Colorado Rockies"	0.220683
"Minnesota Twins"	0.219791
"Tampa Bay"	0.215591
"Oakland Athletics"	0.2149
"San Francisco Giants"	0.21369
"Philadelphia Phillies"	0.213639
"Arizona Diamondbacks"	0.213455
"Anaheim Angels"	0.211738
"Atlanta Braves"	0.2041
Oakland	0.203776
"Florida Marlins"	0.203074
"Texas Rangers"	0.202007
ANAHEIM	0.201057
"Montreal Expos"	0.188846
Cleveland	0.186322
"Tampa Bay Devil Rays"	0.184145
A's	0.183321
Yankee	0.176344
Baltimore	0.176074
Mets	0.175369
Phillies	0.173077
Cincinnati	0.166515
"blue jay"	0.166393
Toronto	0.165705
Detroit	0.165541
Pittsburgh	0.164047
"Red Sox"	0.162691
ASTROS	0.161411
Padre	0.160934
Orioles	0.159431
"Kansas City"	0.158793
diamondback	0.158253
"devil ray"	0.157737
Minnesota	0.157403
dodger	0.156734
Royals	0.155531
cub	0.15492
"San Diego"	0.152508
Montreal	0.148992
mariner	0.148904
"New York Giants"	0.148863
"St. Louis"	0.147074
marlin	0.146271
Seattle	0.145821
Milwaukee	0.143774
Giants	0.143514
"Washington Redskins"	0.14315
brave	0.142053
ranger	0.139818
Edmonton	0.136429
Carolina	0.135982
"New York Islanders"	0.135701
angel	0.132397
"Los Angeles Lakers"	0.130405
"Green Bay"	0.12964
Colorado	0.129232
"Calgary Flames"	0.128686
"New York Jets"	0.128594
"New York Rangers"	0.127289
"Edmonton Oilers"	0.126463
Sox	0.126292
Expo	0.124439
"Florida Panthers"	0.12409
pirate	0.123527
Philadelphia	0.123057
"Washington Capitals"	0.121951
Boston	0.121682
Chicago	0.120435
"Sacramento Kings"	0.120307
"Indianapolis Colts"	0.119543
cardinal	0.11938
Arizona	0.118021
"Detroit Pistons"	0.116844
"Philadelphia Eagles"	0.116287
"Golden State Warriors"	0.115538
Calgary	0.113364
"Arizona Cardinals"	0.112962
"Detroit Red Wings"	0.112519
Houston	0.11184
"Green Bay Packers"	0.111613
"Miami Dolphins"	0.111554
"Dallas Burn"	0.111202
"D.C. United"	0.110793
"Carolina Hurricanes"	0.110685
"Toronto Maple Leafs"	0.110658
"Phoenix Suns"	0.110196
"Utah Jazz"	0.109667
"Dallas Stars"	0.109654
"N.Y. Mets"	0.109413
"Vancouver Canucks"	0.109259
"Atlanta Hawks"	0.108929
islander	0.108064
brewer	0.108004
"Boston Celtics"	0.107972
Atlanta	0.107285
"Minnesota Timberwolves"	0.107121
Dallas	0.10704
Vancouver	0.106903
"Montreal Canadiens"	0.106585
"Kansas City Chiefs"	0.106422
Indian	0.106221
"Philadelphia Flyers"	0.106137
"San Antonio Spurs"	0.105952
"Los Angeles Clippers"	0.105482
"Buffalo Sabres"	0.105318
"Dallas Mavericks"	0.104598
"Mighty Ducks"	0.104136
"Seattle Seahawks"	0.10399
"Golden State"	0.103983
"Buffalo Bills"	0.103674
Buffalo	0.103597
Rockies	0.10341
"New York Knicks"	0.103379
"Minnesota Vikings"	0.103149
"Portland Trail Blazers"	0.102945
"Milwaukee Bucks"	0.102938
Canadiens	0.102814
Phoenix	0.102628
"Miami Heat"	0.101644
"Chicago Bears"	0.101369
"San Francisco @@ers"	0.101328
"Pittsburgh Penguins"	0.100937
"Indiana Pacers"	0.100626
"Ottawa Senators"	0.100442
Redskin	0.100442
"Tampa Bay Buccaneers"	0.100126
Portland	0.0998043
"New England Patriots"	0.0997857
"Houston Rockets"	0.0991535
"Nashville Predators"	0.09891
"Red Wings"	0.0986678
"St. Louis Rams"	0.0984822
oiler	0.0984528
"Dallas Cowboys"	0.0983612
MetroStars	0.0974332
Celtics	0.0972107
"Denver Broncos"	0.0971675
"Tampa Bay Lightning"	0.0969919
panther	0.0969082
"Cleveland Browns"	0.0965883
"San Jose Sharks"	0.0964958
"St. Louis Blues"	0.0962027
"Washington Wizards"	0.0959108
Texas	0.0957185
"San Francisco"	0.0956601
Eagles	0.0953991
Knicks	0.095042
clipper	0.0950151
Ottawa	0.0948154
"Los Angeles Kings"	0.0941531
Sacramento	0.0940182
"Maple Leafs"	0.0939462
"New Jersey Nets"	0.0936159
"Colorado Avalanche"	0.0930849
"Chicago Blackhawks"	0.0928769
Denver	0.0928141
twin	0.0928001
Purdue	0.0919226
Florida	0.0917946
Lakers	0.091601
Canuck	0.091474
"San Diego Chargers"	0.0913181
"Charlotte Hornets"	0.0910733
"Brooklyn Dodgers"	0.0906391
"San Jose"	0.090553
"Chicago Fire"	0.0904393
"Tennessee Titans"	0.090232
"Utah State"	0.0900798
"Orlando Magic"	0.0899681
"Louisiana Tech"	0.0897889
"ATLANTA FALCONS"	0.0891358
"Chicago Bulls"	0.089045
Seahawks	0.0888221
"Trail Blazers"	0.0882266
tiger	0.0882025
Steelers	0.0881506
Indianapolis	0.0871799
"Phenix City"	0.0870101
"New Mexico State"	0.0869388
Bengals	0.0867102
"New York Liberty"	0.0865856
))
(Chicagoans (desc 870.145) (sims
"British people"	0.148926
Ecuadoreans	0.140348
"New Jerseyans"	0.110144
concertgoers	0.108225
Londoner	0.102741
"American Jews"	0.0980182
Angelenos	0.0896491
Quebecers	0.0888772
Hawaiians	0.0882073
"beer drinker"	0.0874236
Guatemalan	0.083588
Washingtonian	0.082819
"San Franciscans"	0.0808805
McEwan	0.079155
Tevanian	0.0783637
Missourian	0.0781279
Bostonians	0.07693
Vermonter	0.0768746
"North Carolinian"	0.0762584
instrumentalist	0.0750306
dieters	0.0747908
Navajos	0.072788
"Cuban Americans"	0.0710443
Anglos	0.0701565
spammers	0.0701376
"New Englander"	0.0699343
Floridian	0.0698633
Stith	0.0685263
Muscovite	0.068429
filmgoers	0.0684084
holidaymaker	0.0681807
baby-boomers	0.067865
Parisian	0.0676225
Bosnians	0.0668675
Iowan	0.0668514
Harr	0.0666587
Ibarra	0.0662506
Atlantans	0.0662102
Nepalese	0.0660535
sportswriters	0.0655464
DiCarlo	0.0652341
"card holder"	0.0652337
Ukrainians	0.0650088
part-timer	0.0645921
"French people"	0.0640716
theatergoer	0.0633214
Italian-Americans	0.0632314
homebuyers	0.0629092
foodies	0.0616866
Kambanda	0.0610309
"Kosovo Serbs"	0.0605277
Plunkett	0.060524
Creationists	0.0603802
backpackers	0.0600665
non-Muslims	0.0593516
Ohioan	0.0590076
Imperatori	0.0589365
gawkers	0.0587114
stargazer	0.0586987
Harcourt	0.0578052
"Southern Democrats"	0.057802
motorcyclists	0.0577438
Lileikis	0.0573787
"Brian Cashman"	0.0572854
Easterner	0.0571433
registrant	0.0568676
Chinese-Indonesians	0.0568189
McDuff	0.056682
Armenians	0.0563231
taster	0.0560722
Latvians	0.055793
"little leaguer"	0.0557273
"Kosovar Albanians"	0.0555044
looker	0.055444
Napolitano	0.0553347
"South Carolinian"	0.0552747
Fonda	0.0552432
Stepinac	0.0549726
"Albanian Kosovars"	0.0547273
Bartley	0.0546893
"sports fan"	0.0546687
raver	0.0544873
Beijingers	0.0543605
Ingush	0.0542292
Nesby	0.0540759
"Drayton McLane Jr."	0.0540691
Soyinka	0.0537459
Boller	0.0533965
"another @ million"	0.052941
Eubanks	0.0529344
Englishmen	0.052902
bleep	0.0528318
adoptees	0.0527209
Shoate	0.0523539
reveler	0.0523312
Martorano	0.0520808
bastard	0.0520229
Fassett	0.0519321
achiever	0.0519122
Sarsour	0.0518491
Luc	0.0517048
Montenegrins	0.0514198
Gauthier	0.0513793
Cuban-Americans	0.0512154
Padilla	0.05116
non-Jew	0.0505746
Ruehe	0.0504568
passersby	0.0504381
snowbird	0.0502891
old-timer	0.049969
techies	0.0498043
"African Americans"	0.0497038
"music lover"	0.0495153
townsfolk	0.0493931
Sybase	0.0493238
worshipper	0.0492235
"El Mundo"	0.0490341
"Marv Albert"	0.0490012
Serbians	0.0488804
Batouty	0.0488624
freelancers	0.0487588
paparazzi	0.0484861
Mercurio	0.048243
Chinese-Americans	0.0481882
Symons	0.0481817
"Asian Americans"	0.0481491
ballgames	0.0480556
RJR	0.0479461
e-tailers	0.0478369
Tatar	0.0477178
Masire	0.0476929
Turetzky	0.0476448
"East German"	0.0475877
Carollo	0.0474126
churchgoer	0.0472296
"European Jews"	0.0471728
out-of-towners	0.0471356
farmworkers	0.0469568
McCurry	0.0469458
"stock trader"	0.0467299
Asian-Americans	0.0466926
Elliot	0.0465923
Falater	0.0465795
nonprofits	0.0464615
"Indonesian Observer"	0.0463927
Hirohito	0.0463793
"Mitsubishi Motors"	0.0463467
orthodontist	0.0463206
singer-songwriters	0.0463142
Salvadoran	0.0462191
congregants	0.0461964
Cavallo	0.0461903
Whittingham	0.046049
"big cat"	0.046002
birder	0.045973
"market watcher"	0.0459679
Slovaks	0.045917
Pryor	0.0458653
major-leaguers	0.0458585
"Overseas Chinese"	0.0457872
Midwesterners	0.0457657
Klemperer	0.0457403
"Southern Baptists"	0.0456951
"Old Glory"	0.045672
termite	0.0456242
"Leon Hess"	0.0456014
"North Koreans"	0.0454505
Mississippian	0.0454189
"Orthodox Christians"	0.0453423
"Internet Service Providers"	0.0452052
highflier	0.045184
masse	0.0451627
"Texas Democrats"	0.045154
Nickerson	0.0450659
"Orthodox Jews"	0.04505
Mease	0.0450405
Boorman	0.0448744
genealogist	0.0448149
celebs	0.0447283
"business traveler"	0.0446874
crewmates	0.044659
"Genghis Khan"	0.0446259
Blackman	0.044514
leeson	0.0444797
Qaddafi	0.0443861
eighth-graders	0.04438
cabby	0.0443687
Lecter	0.0442759
handicappers	0.0442235
enrollee	0.0442223
Verney	0.0441744
"wage earner"	0.0441448
baboon	0.0440654
criminologists	0.0439563
doomsayers	0.0437596
Makah	0.0436326
"church member"	0.043556
Berliner	0.0434935
Moratinos	0.0432031
"foster child"	0.0431246
))
(chicanery (desc 2200.22) (sims
malfeasance	0.103879
influence-peddling	0.0990281
trickery	0.0967544
coercion	0.094156
"insider trading"	0.0890818
Indiscipline	0.0888847
"election fraud"	0.087053
"foul play"	0.0868339
incompetence	0.0860385
illegality	0.085852
malpractice	0.0836659
blackmail	0.0833747
dishonesty	0.0832915
deceit	0.0828328
cronyism	0.082518
bribe-taking	0.0804066
impropriety	0.0799009
vote-buying	0.078446
favoritism	0.07765
wrongdoing	0.0767729
thuggery	0.076412
"hanky panky"	0.0722311
brinkmanship	0.0718451
plagiarism	0.0707332
deception	0.0697048
bribery	0.0677734
exigency	0.0671383
stupidity	0.0669361
"sleight of hand"	0.0666921
gamesmanship	0.0664028
"shell game"	0.0660768
manipulation	0.0653965
mismanagement	0.065087
arm-twisting	0.0645472
immaturity	0.0645423
shenanigan	0.0635911
self-preservation	0.0630416
intimidation	0.0629747
collusion	0.0623982
selfishness	0.0623653
belligerence	0.0620643
hypocrisy	0.0611721
"breach of trust"	0.0604964
cowardice	0.0600816
criminality	0.0599786
price-fixing	0.0595758
"mail fraud"	0.0595645
brinksmanship	0.05897
cockiness	0.0580961
duplicity	0.0578563
avarice	0.0576234
slander	0.0574833
"tax evasion"	0.0560658
criminalization	0.055931
maneuverings	0.0545797
misappropriation	0.0545652
mistreatment	0.054476
espionage	0.0544272
superficiality	0.0535
tampering	0.0532913
embezzlement	0.0532878
maltreatment	0.0529176
malice	0.052758
sleaze	0.0525547
recklessness	0.0522847
gimmickry	0.0520981
self-interest	0.051657
gluttony	0.0513234
hooliganism	0.0511839
negligence	0.0506943
machination	0.0505491
irresponsibility	0.0504463
disloyalty	0.0503746
cover-up	0.0501468
triage	0.0499542
"securities fraud"	0.0493315
nepotism	0.048753
"short selling"	0.0481217
self-criticism	0.0479411
maneuvering	0.0478004
one-upmanship	0.0474323
sexism	0.0474186
derring-do	0.047231
extortion	0.0470639
theatrics	0.0464361
stabbings	0.0460786
exotica	0.0460368
misdeed	0.0458807
horse-trading	0.0458382
silliness	0.0458225
coverup	0.0457459
cannibalism	0.0457224
sodomy	0.045721
opportunism	0.045691
ruthlessness	0.0455966
cockfighting	0.0447286
"child abuse"	0.0445952
rigging	0.0442484
rudeness	0.0441938
ill-treatment	0.044074
arson	0.0439945
banditry	0.0438233
desecration	0.0436777
stratagem	0.0434863
rustling	0.0431175
Concealment	0.0430603
misrepresentation	0.0430558
stagecraft	0.0430434
heft	0.0426648
insincerity	0.0426434
vandalism	0.0426078
evasion	0.0424945
"detective work"	0.0424787
pretending	0.0422903
ugliness	0.0422702
nastiness	0.0422624
kickback	0.0422108
forgery	0.0420017
racketeering	0.0418592
"accounting problem"	0.0418033
misjudgment	0.0417263
extremism	0.0417255
"layer cake"	0.0416544
barbarism	0.0411123
idiocy	0.0409719
fisticuffs	0.0409695
expediency	0.0408773
foolishness	0.0407666
unfairness	0.0407583
haggling	0.040633
gadgetry	0.0403919
charade	0.0402623
molestation	0.0402528
weariness	0.0400984
pratfalls	0.040074
))
(chick (desc 16154.6) (sims
bird	0.0658537
turtle	0.065619
larvae	0.0654394
chicken	0.0628436
goat	0.0620538
pig	0.0617707
girl	0.0595838
maggot	0.0587439
sheep	0.0587018
geese	0.0586699
pigeon	0.0579725
babe	0.0576671
cow	0.0570009
parrot	0.0569898
tortoise	0.0563474
dude	0.0549433
piglet	0.0548421
baby	0.0543913
egg	0.0541684
owl	0.0530379
CAT	0.052835
deer	0.0522591
hen	0.0516335
gal	0.0515233
monkey	0.0513984
panda	0.0505367
rat	0.050388
crocodile	0.050335
rabbit	0.0499741
pup	0.0491303
puppy	0.0490007
calf	0.0489835
alligator	0.0489809
ibis	0.048929
stork	0.04858
critter	0.0485693
"giant panda"	0.0484734
kitten	0.0480754
sperm	0.0480398
poultry	0.0480366
offspring	0.0476275
meatball	0.0474786
mice	0.0472702
infant	0.0472258
Pelican	0.0466001
rooster	0.0464115
egret	0.0463846
"sea turtle"	0.0462643
hog	0.0460564
frog	0.0459448
swan	0.0458392
"Dixie Chicks"	0.0451639
squirrel	0.0449922
insect	0.0448816
snake	0.0441482
critters	0.0438339
cattle	0.0435759
ant	0.043511
Pony	0.0434885
toddler	0.0433527
doll	0.0433474
sparrow	0.0430721
"little girl"	0.0428407
elephant	0.0426363
"little boy"	0.0425116
feather	0.0415173
creature	0.0414389
grown-up	0.0413786
Dinosaur	0.0413321
Beijingers	0.0412807
cheetah	0.0412557
bluebird	0.0407381
worm	0.0407379
grandchild	0.0406846
bunny	0.0406559
"young woman"	0.040627
lizard	0.0406021
mom	0.0403492
fetus	0.0402192
Livestock	0.0402156
frogs	0.0401837
))
(chicken (desc 82281.4) (sims
meat	0.262688
pork	0.259607
steak	0.246605
shrimp	0.245129
potato	0.241784
vegetable	0.236301
"chicken breast"	0.223668
beef	0.217703
pasta	0.215009
tomato	0.212308
sausage	0.211078
fish	0.203543
onion	0.202617
salad	0.202462
ham	0.20208
lamb	0.198496
bean	0.192106
cheese	0.1903
poultry	0.184679
bread	0.182101
soup	0.178587
noodle	0.175578
salmon	0.173005
seafood	0.172598
egg	0.172057
fruit	0.170608
mushroom	0.165148
sauce	0.163936
corn	0.162352
eggplant	0.161091
asparagus	0.160302
rice	0.159961
pizza	0.158617
spinach	0.157611
dish	0.157537
chop	0.156796
carrot	0.15631
bacon	0.156169
sandwich	0.155655
cake	0.154858
milk	0.153276
veal	0.146982
pig	0.146849
scallop	0.145869
Garlic	0.143849
Hamburger	0.14381
duck	0.143128
lobster	0.142246
rib	0.141808
"hot dog"	0.141515
tuna	0.140682
tofu	0.139008
cabbage	0.136742
lettuce	0.136402
cucumber	0.136137
butter	0.135505
pepper	0.1353
burgers	0.13508
fillet	0.134467
oyster	0.132891
"green bean"	0.132663
brisket	0.131379
pea	0.129695
"sweet potato"	0.129338
Chili	0.129013
tortilla	0.128895
mussel	0.128109
leek	0.127811
artichoke	0.127791
Broccoli	0.126614
slice	0.126478
mutton	0.126324
pie	0.126124
food	0.125966
hen	0.125065
polenta	0.124495
"french fries"	0.123945
"roast beef"	0.12304
"sea bass"	0.122075
goat	0.120267
zucchini	0.119775
cattle	0.118886
"tomato sauce"	0.117933
mayonnaise	0.117597
"potato salad"	0.117298
"pot roast"	0.117239
sugar	0.117199
avocado	0.11713
broth	0.117109
peanut	0.117018
"bell pepper"	0.116966
coffee	0.116953
chocolate	0.116915
biscuit	0.116871
"ground beef"	0.116617
spaghetti	0.116577
sheep	0.116531
meatloaf	0.116417
pear	0.116309
celery	0.116128
pineapple	0.115201
"ice cream"	0.114788
pumpkin	0.114601
bird	0.11444
cereal	0.114296
banana	0.113948
veggie	0.113825
olive	0.113713
"leg of lamb"	0.113184
apple	0.113002
clam	0.112897
crab	0.112854
yogurt	0.112382
lentil	0.112245
meatball	0.111796
cow	0.11178
stew	0.111632
"goat cheese"	0.111452
prawn	0.111101
cooky	0.110806
salt	0.110747
mixture	0.110003
juice	0.109958
nut	0.109543
quail	0.109375
"red pepper"	0.109277
"green onion"	0.109228
roast	0.108707
wine	0.108672
gravy	0.108591
"pork tenderloin"	0.108573
flour	0.108437
herb	0.108075
scallion	0.107902
pastry	0.107617
"black bean"	0.106248
rabbit	0.106055
"chicken salad"	0.105916
"chicken stock"	0.105776
shallot	0.10576
grain	0.105494
okra	0.10536
ravioli	0.104856
squash	0.104691
mozzarella	0.104663
beet	0.104461
"foie gras"	0.104387
spice	0.104251
fennel	0.103791
Pudding	0.103709
mango	0.103666
macaroni	0.103397
plantain	0.103326
animal	0.102801
"dairy product"	0.10279
dressing	0.102515
chilies	0.101963
hog	0.101826
Catfish	0.101763
dough	0.101704
leaf	0.101692
halibut	0.101505
venison	0.101256
peach	0.101195
kebab	0.101016
cream	0.100889
breast	0.100092
pancake	0.0999333
puree	0.0997891
meal	0.0996526
wheat	0.099598
prosciutto	0.0995551
pheasant	0.0991319
tea	0.0985138
"chicken wing"	0.0981249
fig	0.0980896
lemon	0.0979355
Sirloin	0.0978734
vinegar	0.0971284
Basil	0.0969999
cilantro	0.0968674
Beer	0.0964201
dessert	0.0963912
tenderloin	0.0961306
"fish fillet"	0.0959641
"scrambled egg"	0.0958149
seasoning	0.0949784
grape	0.0948927
parsley	0.0947867
"olive oil"	0.0947585
sushi	0.094433
turnip	0.0943312
geese	0.0939289
risotto	0.0939078
"red onion"	0.0936094
FRY	0.0935644
ginger	0.0933278
cauliflower	0.0932709
eel	0.0932111
Liquid	0.0930571
))
("chicken breast" (desc 10912.4) (sims
fillet	0.257684
steak	0.233917
eggplant	0.224087
chicken	0.223668
"pork tenderloin"	0.223499
"pork loin"	0.204412
tenderloin	0.193541
"leg of lamb"	0.189899
asparagus	0.185132
sausage	0.182453
shrimp	0.181635
zucchini	0.177823
Sirloin	0.177455
scallop	0.175192
salmon	0.174423
pork	0.172034
potato	0.171304
chop	0.170776
"beef tenderloin"	0.167648
cutlet	0.166885
"short ribs"	0.16547
ham	0.164551
onion	0.164461
halibut	0.162044
"roast beef"	0.159326
tomato	0.158952
leek	0.154005
"green bean"	0.153801
spaghetti	0.149657
brisket	0.149407
mushroom	0.149188
mozzarella	0.14645
"ground beef"	0.146162
"sea bass"	0.146111
"pot roast"	0.14608
artichoke	0.145485
noodle	0.142419
carrot	0.141257
lamb	0.141073
pasta	0.140382
spinach	0.140163
"red onion"	0.140128
veal	0.139682
mussel	0.139596
"filet mignon"	0.139505
"fish fillet"	0.137327
"plum tomato"	0.137155
shallot	0.136126
roast	0.135073
bacon	0.134132
linguine	0.132699
cucumber	0.132456
pear	0.132118
tofu	0.131363
meat	0.130978
meatloaf	0.130633
prosciutto	0.129726
lobster	0.128602
rib	0.128215
"foie gras"	0.127784
Loin	0.127431
avocado	0.126399
"shiitake mushroom"	0.12638
"red bell pepper"	0.126318
breast	0.126234
quail	0.126131
scallion	0.125699
cheese	0.124838
"sweet potato"	0.124731
chorizo	0.12353
"bell pepper"	0.123444
cabbage	0.123131
tortilla	0.122022
meatball	0.121934
"goat cheese"	0.121578
plantain	0.121394
tuna	0.120371
beef	0.119945
pineapple	0.119866
ravioli	0.118785
filet	0.118715
pancetta	0.116993
monkfish	0.116389
polenta	0.115947
Broccoli	0.115655
"smoked salmon"	0.115547
burgers	0.114575
"red pepper"	0.11318
RHUBARB	0.111465
tortellini	0.111458
beet	0.111123
salad	0.111095
bread	0.110947
macaroni	0.110782
cod	0.110497
Hamburger	0.110463
"rack of lamb"	0.110277
"garlic clove"	0.110069
fennel	0.109997
salami	0.109992
turnip	0.109968
kebab	0.109425
"cream cheese"	0.108772
oyster	0.108699
prawn	0.108049
loaf	0.107825
vegetable	0.106396
"green onion"	0.10636
pepper	0.105473
"chicken salad"	0.105289
veggie	0.105265
clam	0.104491
okra	0.104158
"cheddar cheese"	0.103835
shank	0.103766
fig	0.103618
"french fries"	0.103429
slice	0.102563
fish	0.102063
hazelnut	0.101914
celery	0.101832
Garlic	0.101576
Endive	0.0999251
"cherry tomato"	0.099166
pumpkin	0.0985638
bean	0.0983498
peach	0.0981628
patty	0.0981378
Catfish	0.0975433
bratwurst	0.0971739
venison	0.0970595
"red snapper"	0.0967051
"brussels sprout"	0.0966903
crab	0.0963103
seafood	0.0962564
confit	0.0953211
pizza	0.0950247
octopus	0.0939241
Chili	0.093248
risotto	0.0929184
lettuce	0.0925706
squid	0.0918266
"striped bass"	0.0906575
sauce	0.090611
"Swiss cheese"	0.0903524
mango	0.0901525
arugula	0.0898044
"chicken wing"	0.0893757
"vanilla bean"	0.0893414
thigh	0.0891404
marinade	0.0890878
cake	0.0889784
"bittersweet chocolate"	0.0888736
swordfish	0.0878241
grouper	0.0864409
olive	0.0864336
"white bread"	0.0861948
"king salmon"	0.0860207
dumpling	0.0859179
sauerkraut	0.0853709
sparerib	0.0853557
squash	0.0852165
butter	0.0852124
sandwich	0.0849425
egg	0.0848299
lentil	0.0846869
"water chestnut"	0.0846846
tomatillo	0.0846406
soup	0.0846266
burger	0.0833286
pie	0.0832219
radicchio	0.0828621
"green pepper"	0.0827939
lemon	0.0826825
Chickpea	0.082666
kernel	0.0825843
"romaine lettuce"	0.082365
"hot dog"	0.0821932
baguette	0.0820038
dish	0.081302
Pudding	0.0813
enchilada	0.081102
yogurt	0.0809816
"macaroni and cheese"	0.0805064
drumstick	0.0802453
cauliflower	0.080188
gnocchi	0.0800506
biscuit	0.0798699
pea	0.0793921
pancake	0.0790709
chiles	0.0789874
parsnip	0.0789511
taco	0.0789443
duck	0.0788401
hen	0.078109
"pumpkin pie"	0.0780604
"cottage cheese"	0.0780384
"scrambled egg"	0.0775855
"snow pea"	0.0775172
quesadillas	0.0772538
))
("chicken broth" (desc 5113.37) (sims
"chicken stock"	0.451694
"beef stock"	0.326677
"beef broth"	0.326456
"coconut milk"	0.300525
half-and-half	0.291081
broth	0.290951
"cider vinegar"	0.269034
"soy sauce"	0.256564
"heavy cream"	0.249066
"tomato juice"	0.243024
"tomato paste"	0.236675
buttermilk	0.226368
"lemon juice"	0.220449
"tomato sauce"	0.219564
"evaporated milk"	0.219171
"peanut oil"	0.215957
"whipping cream"	0.208926
"sour cream"	0.206157
vinegar	0.203968
"lime juice"	0.19776
mayonnaise	0.195843
cornstarch	0.1936
"brown sugar"	0.191139
"pineapple juice"	0.187367
"Worcestershire sauce"	0.186157
"chili powder"	0.17946
cornmeal	0.177099
"hoisin sauce"	0.175805
"sesame oil"	0.174763
puree	0.172736
cider	0.167579
"wine vinegar"	0.166382
"bay leaf"	0.165322
"orange juice"	0.1653
"bean sprout"	0.164831
"olive oil"	0.162902
"white wine"	0.162808
"vegetable oil"	0.159716
sherry	0.156901
ketchup	0.15668
"chili sauce"	0.156361
parsley	0.155537
"pine nut"	0.152416
"red pepper"	0.150045
onion	0.149094
breadcrumb	0.147583
thyme	0.145834
cilantro	0.145328
shallot	0.144518
flour	0.144036
milk	0.143834
marjoram	0.141999
"green pepper"	0.14144
"blue cheese"	0.140835
tomato	0.13997
tahini	0.139797
applesauce	0.138421
"skim milk"	0.137202
"curry powder"	0.137098
lentil	0.136389
"egg yolk"	0.135804
mustard	0.135662
panko	0.135392
cream	0.135263
sugar	0.13421
"black bean"	0.133802
paprika	0.133503
"white rice"	0.133091
Basil	0.132973
Garlic	0.132251
"corn syrup"	0.131828
"pepper sauce"	0.131669
"fennel seed"	0.130944
Calvados	0.130855
molasses	0.130768
"macadamia nut"	0.130714
cumin	0.129339
margarine	0.129051
ricotta	0.127376
"apple juice"	0.126436
butter	0.126081
bouillon	0.125975
yogurt	0.12595
vermouth	0.125663
"red wine"	0.125126
"cottage cheese"	0.124714
oregano	0.123541
crumb	0.122889
"cherry tomato"	0.122845
cheese	0.121454
mesclun	0.120403
pepper	0.120108
celery	0.12
"green onion"	0.118513
"peanut butter"	0.118245
"cheddar cheese"	0.117755
raisin	0.117346
"cream cheese"	0.116125
scallion	0.115602
"snow pea"	0.115007
"black olive"	0.114695
Liquid	0.114607
juice	0.114322
olive	0.114237
chiles	0.113512
Chickpea	0.11326
honey	0.11316
"cranberry sauce"	0.112992
sauce	0.112975
salt	0.112673
croutons	0.112651
ginger	0.112571
shortening	0.112331
mushroom	0.111795
tomatillo	0.111596
zucchini	0.111149
chilies	0.111058
"egg white"	0.10975
spinach	0.109713
"sesame seed"	0.109506
"orange zest"	0.109137
pesto	0.109083
turmeric	0.109034
pancetta	0.109001
"fava bean"	0.108997
bourbon	0.108991
"maple syrup"	0.108864
seasoning	0.108737
macaroni	0.107915
"condensed milk"	0.107788
leek	0.107763
lettuce	0.107742
dill	0.107419
Broccoli	0.107244
"goat cheese"	0.106831
bean	0.106131
potato	0.106058
tarragon	0.10596
jelly	0.105311
"red onion"	0.104996
pineapple	0.104659
raspberry	0.10458
peppercorn	0.104264
"salad dressing"	0.103899
pea	0.103866
carrot	0.10334
liqueur	0.103106
oatmeal	0.102979
veal	0.102876
chutney	0.102611
"bell pepper"	0.101989
chive	0.101816
jalapeno	0.101549
"tuna fish"	0.101488
"spaghetti sauce"	0.101351
horseradish	0.101336
blueberry	0.100853
"green bean"	0.100107
"pumpkin seed"	0.0998873
granola	0.099826
cabbage	0.0998226
syrup	0.0981799
kernel	0.0977697
pasta	0.0977328
cucumber	0.0974934
"corned beef"	0.0972997
arugula	0.097168
florets	0.0964448
almond	0.0961632
Parmesan	0.0961335
"lemon zest"	0.0959756
"black-eyed pea"	0.09562
soup	0.0956166
currant	0.0955361
noodle	0.0948063
flake	0.0947521
"baking powder"	0.094615
"wild rice"	0.0944737
Masa	0.0943599
"barbecue sauce"	0.0942398
"green olive"	0.0942195
bran	0.09395
okra	0.0939076
coconut	0.0938956
"cumin seed"	0.0938904
paste	0.0938668
vegetable	0.0936411
cashew	0.0935917
rosemary	0.0933462
walnut	0.0928702
"hot sauce"	0.0924846
polenta	0.0922815
Madeira	0.0922787
blackberry	0.09216
"fruit juice"	0.0921316
"white pepper"	0.0920594
"baking soda"	0.0908035
RHUBARB	0.090792
fraiche	0.0906504
"dried fruit"	0.0901081
))
("chicken coop" (desc 1256.65) (sims
outbuilding	0.130533
"railway car"	0.0807042
nunnery	0.0801371
"pedestrian bridge"	0.0753205
stables	0.0750603
"gas plant"	0.0745737
"cotton mill"	0.0742832
"rooming house"	0.0732412
schoolhouse	0.0729219
"carriage house"	0.0698331
marshland	0.0692069
"bank building"	0.0684803
"septic tank"	0.0673565
silo	0.0671619
"studio apartment"	0.067135
gazebo	0.0663637
townhouse	0.0660922
"flour mill"	0.0650495
"row house"	0.0642409
storeroom	0.0638755
"public toilet"	0.0631958
pastureland	0.0624427
farmhouse	0.0620691
Igloo	0.0619577
Spillway	0.0597816
"cargo container"	0.0593017
"wine cellar"	0.0586948
"engine room"	0.05853
"log cabin"	0.0581314
claimer	0.0578956
"partner in crime"	0.0577834
outhouse	0.0576919
"town house"	0.0569051
"Metropolitan Opera House"	0.0568561
"telephone pole"	0.056335
"American Football League"	0.0562991
trestle	0.055953
townhouses	0.0557159
"railroad car"	0.0550233
frontlines	0.0550115
"gas line"	0.0540222
lean-to	0.053979
"fishing gear"	0.0537691
"beach house"	0.0534351
campsite	0.0529464
"dairy farm"	0.0526513
"cattle ranch"	0.052538
cellblock	0.0523701
"hunting ground"	0.0520294
"Black Panther"	0.0517566
choirboy	0.050286
"oil rig"	0.050252
firehouse	0.0501538
Convent	0.0501222
"Twin Towers"	0.0499068
tenement	0.0497871
Centerfold	0.049762
"coffee bar"	0.0496694
"landing craft"	0.0495167
"navy base"	0.0492956
hubcap	0.0492465
"Berlin Wall"	0.0491746
"altar boy"	0.0487129
"garbage dump"	0.0486719
"dance hall"	0.0485288
"grammar school"	0.0483255
"American South"	0.0482574
bungalow	0.0482409
"National Stadium"	0.0482067
"boarding house"	0.0481611
treetop	0.0480141
Urosevac	0.047993
"Miller Park"	0.0475822
boxcar	0.0475494
"subway station"	0.0471331
parquet	0.0470561
"sea lane"	0.0468587
culvert	0.0466767
windmill	0.0466752
"patrol ship"	0.0463739
"firing range"	0.0463116
"English Football Association"	0.0458132
ghostwriter	0.0455782
Laker	0.0453937
"Texas longhorn"	0.0451329
flatlands	0.0450768
plasterboard	0.0447634
hippocampus	0.0445032
Mortimer	0.0444558
"particle accelerator"	0.0443727
saloon	0.0443262
stanchion	0.0442212
segregationist	0.0440766
cellmate	0.0440537
"toll plaza"	0.0439461
apparatchiks	0.0439203
"Pennsylvania Station"	0.0439126
chaparral	0.0439021
"railroad station"	0.0438924
"five spot"	0.0437698
"steam locomotive"	0.0436455
coop	0.0435867
"tourist hotel"	0.0435367
"apartment house"	0.0433489
"government minister"	0.0431852
"water tower"	0.0431523
Millar	0.0431126
Kwazulu-Natal	0.0430237
duplex	0.0429365
"textile mill"	0.0428704
shoplifter	0.0427336
skeet	0.0427236
"ranch house"	0.0426819
kibbutz	0.0426335
chalet	0.0422634
"resort hotel"	0.0422104
eyesore	0.0422081
pugilist	0.0421401
"New York Public Library"	0.0421151
barbershop	0.0420039
watchtower	0.0419818
"Highland Park"	0.0417509
"snack bar"	0.041721
"lounge chair"	0.0416628
"hole in the ground"	0.0416351
nanosecond	0.0415896
"collective farm"	0.0415687
"Reagan Democrats"	0.0415092
harem	0.0414924
viaduct	0.0414263
Dumpster	0.0412717
"water fountain"	0.0411608
Oriole	0.0411053
"Brighton Beach"	0.0410833
"stone wall"	0.0410733
"Linda Jones"	0.0410447
mailman	0.0410073
"Culver City"	0.0408678
"nursery school"	0.0408395
"Union Station"	0.0408081
"sewer line"	0.0407863
"trailer park"	0.0407049
"big leaguer"	0.0403204
dyke	0.0402979
spymaster	0.040176
brownstone	0.0401704
fridge	0.0401532
"floor plan"	0.0401524
seawall	0.0401343
canard	0.040097
"soda fountain"	0.0400136
))
("chicken run" (desc 2861.53) (sims
"Space Cowboys"	0.179865
"Galaxy Quest"	0.179033
"Titan A.E."	0.167362
Antz	0.16207
"Smoke Signals"	0.161177
"Stuart Little"	0.147926
"Cruel Intentions"	0.136975
"Runaway Bride"	0.136879
"El Dorado"	0.13555
Mulan	0.131456
"Toy Story"	0.129718
U-@@@	0.127322
Gladiator	0.127228
"Scary Movie"	0.125065
Girlfight	0.120668
"Erin Brockovich"	0.113969
"Double Jeopardy"	0.113731
"American Beauty"	0.1137
"Mickey Blue Eyes"	0.112678
"Princess Mononoke"	0.111349
"snake eyes"	0.110818
"Hollow Man"	0.110769
"Mighty Joe Young"	0.109724
"Patch Adams"	0.109242
"Fight Club"	0.106435
"DEEP BLUE SEA"	0.106406
"Nurse Betty"	0.10347
EdTV	0.103117
Tarzan	0.0976982
"Blair Witch Project"	0.0962481
"Coyote Ugly"	0.0955587
"Toy Story @"	0.0955346
"Thomas Crown Affair"	0.0949757
"American Pie"	0.0940179
X-MEN	0.091574
"Central Station"	0.091519
"high fidelity"	0.0914712
"Inspector Gadget"	0.0914567
Fantasia/@@@@	0.0914559
"Being John Malkovich"	0.0908473
"Eyes Wide Shut"	0.0905834
"Cradle Will Rock"	0.0895548
"Big Daddy"	0.0878262
Bowfinger	0.086609
"Notting Hill"	0.0862275
"Iron Giant"	0.0851276
stepmom	0.0840499
"Saving Private Ryan"	0.0839055
entrapment	0.0816527
"Civil Action"	0.0807286
"Varsity Blues"	0.0797778
"Blade Runner"	0.0796845
ROUNDERS	0.0791778
Rugrats	0.0789894
"Get Real"	0.0779715
"Jerry Maguire"	0.0771131
Rushmore	0.0762651
"South Park"	0.0754111
"Random Hearts"	0.0739877
Dilbert	0.0733901
Tootsie	0.0731975
Stigmata	0.0728582
Matrix	0.0723382
"Animal House"	0.0712175
"Perfect Storm"	0.0695165
"Family Guy"	0.0694947
"True Thing"	0.0685381
Futurama	0.06852
Ronin	0.0682572
"Got Mail"	0.0674856
"High Art"	0.0673344
"Dirty Dancing"	0.0666101
"Thin Red Line"	0.0665495
"sixth sense"	0.0664341
Pinocchio	0.0662144
"Wild Wild West"	0.0651332
Armageddon	0.0648908
"Blair Witch"	0.0640902
"Been Kissed"	0.0640203
Footloose	0.0637549
"Meet Joe Black"	0.0635292
Trainspotting	0.0611658
Beavis	0.0608313
Fantasia	0.0606793
"Opium War"	0.0601489
Bulworth	0.0596976
"L.A Confidential"	0.0595817
"Waking Ned Devine"	0.0590023
"Ideal Husband"	0.0588946
Pleasantville	0.0587811
"Green Mile"	0.0584836
"Lake Placid"	0.0583763
Tigger	0.0583466
Jawbreaker	0.0582904
Hoosier	0.0579051
"Natural Born Killers"	0.0578948
"Cider House Rules"	0.0577988
"Phantom Menace"	0.0576335
"Pulp Fiction"	0.0575331
"Life Is Beautiful"	0.0573588
Bambi	0.057053
"Good Will Hunting"	0.056768
"Austin Powers"	0.0565745
swinger	0.0563938
Sabrina	0.0563875
"Jurassic Park"	0.0560346
"Science City"	0.0559581
psycho	0.0554974
"Parent Trap"	0.0554345
Magnolia	0.0553061
"Boogie Nights"	0.0552633
"Forrest Gump"	0.0552463
"pitch black"	0.0543159
"Bowling Green"	0.0542671
"Mod Squad"	0.0542243
"wonder boy"	0.0541319
"American Psycho"	0.0540622
E.T	0.0540335
payback	0.0540016
"Independence Day"	0.0530954
Loretta	0.0530641
megaplexes	0.0530128
"wing commander"	0.0525761
"Impossible @"	0.052274
"BUENA VISTA SOCIAL CLUB"	0.0520611
PSE	0.0511709
Everest	0.0509204
"Rugrats Movie"	0.0508239
Cleopatra	0.050821
apocalypse	0.0502887
"Andy Kaufman"	0.0502614
pi	0.0500857
"Everybody Loves Raymond"	0.0500772
"best man"	0.0499189
Malcolm	0.0497982
FARGO	0.04931
"Primary Colors"	0.0491342
"Citizen Kane"	0.0489898
Quay	0.0489317
Paulie	0.0488443
"love letter"	0.0483042
out-of-towners	0.0474558
dogma	0.0466353
hieroglyphic	0.0458514
Wilde	0.0457828
Zorro	0.0451636
Pecker	0.0450196
"Simple Plan"	0.0449833
"Late Night"	0.0449107
"feature film"	0.0448074
Hajj	0.0446968
Goodfellas	0.0445229
Muppets	0.0441592
Hercules	0.0440618
hologram	0.044047
Pokemon	0.0439331
"Top Gun"	0.0435095
"Little Voice"	0.0434604
anna	0.0433509
Amistad	0.04333
Amadeus	0.0433261
"four @-pointers"	0.0433084
thumbnail	0.0430449
"Apt Pupil"	0.0430385
"Harry Potter"	0.0428926
tumbleweed	0.0428621
third-graders	0.042856
"Will &AMP; Grace"	0.0428313
Rosie	0.0428213
shoplifter	0.0426745
showgirl	0.0425451
Biz	0.0422576
"Sleepy Hollow"	0.0422458
lookin	0.0421102
"Indiana Jones"	0.0420761
"Cosby Show"	0.0420244
Frasier	0.0419785
"brook trout"	0.0417359
"Ally McBeal"	0.0417192
Simpsons	0.0413755
Madeline	0.0408283
"game show"	0.0407049
Evita	0.0400937
))
("chicken salad" (desc 3621.02) (sims
"pork tenderloin"	0.171635
salad	0.140223
"roast beef"	0.12983
meatloaf	0.129121
pastrami	0.122999
"beef tenderloin"	0.12135
"potato salad"	0.119426
swordfish	0.119408
"chocolate mousse"	0.119006
meatball	0.117219
sausage	0.114296
"vegetable soup"	0.112216
halibut	0.110226
pasta	0.107267
veggie	0.106872
chicken	0.105916
"chicken breast"	0.105289
steak	0.104248
quiche	0.103888
"smoked salmon"	0.103604
slaw	0.103501
"pot roast"	0.103425
noodle	0.100661
tuna	0.100324
mussel	0.100321
mayonnaise	0.099401
"french fries"	0.0980761
shrimp	0.0970999
sandwich	0.0970049
"foie gras"	0.095732
paella	0.0949072
"tuna fish"	0.094784
tofu	0.0937535
"Caesar salad"	0.092417
"side dish"	0.0914327
scone	0.0907987
eggplant	0.0891901
dressing	0.0891561
tenderloin	0.0891478
"chicken wing"	0.0889095
soup	0.0887201
salami	0.0880519
cake	0.0877082
"red snapper"	0.0871082
ravioli	0.0867877
monkfish	0.0867383
"macaroni and cheese"	0.085612
"peanut butter"	0.0851365
coleslaw	0.0846436
Casserole	0.0845192
"barbecue sauce"	0.08418
"sea bass"	0.0840554
"goat cheese"	0.0831977
"tomato sauce"	0.0828466
pork	0.0823995
cornbread	0.0823841
croutons	0.0823455
Pudding	0.0821182
macaroni	0.0816297
polenta	0.0815681
"filet mignon"	0.0815648
baloney	0.0814381
bratwurst	0.080748
veal	0.0804801
fajitas	0.080074
brisket	0.0798714
"rack of lamb"	0.0797261
pimento	0.0796561
"corned beef"	0.079586
prawn	0.0795684
ham	0.0794615
appetizer	0.0793031
seafood	0.0790337
granola	0.0784723
"striped bass"	0.0773585
TARTARE	0.0765012
"chicken sandwich"	0.0764101
venison	0.0763413
chutney	0.075813
mozzarella	0.0755
Catfish	0.0751393
Chili	0.0750416
pizza	0.07503
sardine	0.0749254
"layer cake"	0.0749149
"green salad"	0.0746637
stew	0.0743055
risotto	0.0737508
taco	0.0733346
omelet	0.0733283
"chocolate cake"	0.072273
scallop	0.0721719
kebab	0.0721154
Sirloin	0.0717938
quail	0.0712914
sauce	0.0711597
"cold cuts"	0.0710978
Cheddar	0.0708753
"cottage cheese"	0.0706161
tomato	0.070585
vinaigrette	0.0705092
pie	0.0703377
asparagus	0.0702731
jelly	0.0702023
Hamburger	0.0699969
fudge	0.0698921
Tamale	0.0697815
cheesecake	0.0695181
dessert	0.0694348
"spring roll"	0.0690315
"scrambled egg"	0.0689585
"fresh fish"	0.0686945
mackerel	0.0678186
dumpling	0.067728
cheeseburger	0.0675354
jerky	0.0673396
lamb	0.0672955
"fruit salad"	0.0672444
grouper	0.067203
lentil	0.0665616
muffin	0.0664629
"leg of lamb"	0.0663121
lobster	0.0660067
Endive	0.0659751
patty	0.0658607
pastry	0.0651205
oyster	0.0649469
ricotta	0.0649017
calamari	0.0646299
gumbo	0.0646052
spinach	0.064384
cucumber	0.0643667
guacamole	0.0640791
chowder	0.0636892
"hot dog"	0.063579
sushi	0.0635571
"ice cream"	0.0635209
waffle	0.063456
burgers	0.0634208
crab	0.0634046
crepe	0.0633993
"chocolate chip cookie"	0.062816
pancake	0.0626567
flan	0.0626296
filet	0.0626203
salsa	0.0623217
marshmallow	0.0622118
enchilada	0.0620071
yogurt	0.0618679
pesto	0.0618323
curd	0.0617444
"string bean"	0.0614324
matzo	0.0613391
caviar	0.0612849
focaccia	0.0612759
nacho	0.0610367
"apple pie"	0.0610113
cutlet	0.0610104
herring	0.0610028
bagel	0.0608965
burger	0.0607291
doughnut	0.0606693
Lasagna	0.0602257
lox	0.0598973
arugula	0.0596905
lettuce	0.0596855
sundae	0.059459
marinade	0.0594278
spaghetti	0.0593285
"collard greens"	0.0592723
squid	0.0588318
gravy	0.0587107
Burrito	0.0586637
Souffle	0.0584958
croissant	0.0581571
bacon	0.0581557
spaetzle	0.058079
eel	0.0576462
chorizo	0.057488
onion	0.0573126
entree	0.0572981
crostini	0.0572741
"chicken soup"	0.057015
anchovy	0.0568856
cookie	0.0568701
stuffing	0.0568585
tortilla	0.0567437
"meat loaf"	0.05665
"French toast"	0.0566107
okra	0.0564417
cracker	0.0560874
pea	0.0560752
dumplings	0.0558441
tortellini	0.0556236
"main course"	0.0553433
frittata	0.0551447
biscuit	0.0551351
praline	0.054949
pickle	0.0548703
curry	0.0548206
))
("chicken sandwich" (desc 1431.09) (sims
"french fries"	0.208612
Twinkies	0.152647
cheeseburger	0.13911
"hot dog"	0.136336
milkshake	0.131567
"chicken wing"	0.120287
bratwurst	0.114666
burgers	0.11382
Hamburger	0.112989
"Caesar salad"	0.111202
burger	0.108663
Burrito	0.106174
quesadillas	0.104733
veggie	0.104415
steak	0.104203
kebab	0.103745
pizza	0.102749
nacho	0.100856
taco	0.095048
coleslaw	0.0946268
muffin	0.0936111
sausage	0.0911133
omelet	0.0906001
"baked goods"	0.0898358
"apple pie"	0.0898081
low-fat	0.0882229
cutlet	0.0854734
"pecan pie"	0.0842334
"potato chip"	0.083964
"green salad"	0.0837338
"scrambled egg"	0.0832761
"fresh fish"	0.0819537
sushi	0.0809755
"sea bass"	0.0807869
"collard greens"	0.0804238
"beef tenderloin"	0.080304
bagel	0.0799815
"filet mignon"	0.0796169
Sirloin	0.0783838
latke	0.0769707
omelette	0.0766045
"chicken salad"	0.0764101
doughnut	0.0758984
pastry	0.0741575
meatloaf	0.072427
"cold cuts"	0.0717197
"chicken breast"	0.0717046
okra	0.0716745
"spring roll"	0.0716207
pancake	0.0710269
calamari	0.0705754
quiche	0.0704741
slaw	0.069192
"raw meat"	0.0688831
radicchio	0.0682836
croissant	0.0682376
"cream puff"	0.0678671
"potato salad"	0.0677645
"Big Mac"	0.0665862
"chocolate chip cookie"	0.0662408
"health food"	0.0652467
popcorn	0.0652392
enchilada	0.0650342
Chili	0.0648281
tapa	0.0646714
appetizer	0.0644596
"rack of lamb"	0.0639066
pastrami	0.0636977
cheesecake	0.0633734
"chocolate cake"	0.0631927
refreshment	0.0629101
drumstick	0.0622941
bun	0.0622379
polenta	0.0620449
"fresh food"	0.0617102
latte	0.0613372
meatball	0.0611451
patty	0.0602487
critter	0.0600698
"king salmon"	0.0600135
"citrus fruit"	0.0591004
"balanced diet"	0.0587551
pasty	0.0584581
lemonade	0.0582764
monkfish	0.0579854
marshmallow	0.0578789
canape	0.057799
"ground beef"	0.0574294
tofu	0.0572831
"laundry detergent"	0.0572825
pretzel	0.056759
"dog food"	0.0563491
nectarine	0.0561399
six-pack	0.0560716
takeout	0.0557761
"red snapper"	0.0556322
oreo	0.0548784
"M&AMP;Ms"	0.0548369
aperitif	0.0547657
tenderloin	0.054724
"iced tea"	0.0540494
"party favor"	0.0536458
"peanut butter"	0.0536276
"striped bass"	0.0528433
sorbet	0.0524548
"Vidalia onion"	0.05239
"tuna fish"	0.0523189
condiment	0.052082
"sparkling wine"	0.0518448
birdbath	0.0517039
"pumpkin pie"	0.0516179
"pork loin"	0.0515099
"grapefruit juice"	0.0510511
Tamale	0.0508087
"pork tenderloin"	0.0507277
Wheaties	0.0502476
legume	0.0501665
"pot roast"	0.0501271
"paper cup"	0.0492528
kraut	0.0492414
"M&AMP;M"	0.0492301
tortilla	0.0490348
"frozen yogurt"	0.0485615
dumpling	0.048502
"pound cake"	0.0482928
Souffle	0.0481029
khat	0.0479152
plantain	0.0476768
"main course"	0.0475042
sardine	0.0474345
"videocassette recorder"	0.0474117
"corn chip"	0.0473044
"beer can"	0.0472931
"surgical instrument"	0.0470739
ravioli	0.0470147
risotto	0.0467781
"dental care"	0.0467533
"snack food"	0.0465204
nettle	0.0464016
freeloader	0.0463432
noisemaker	0.0463063
"fruit juice"	0.0459499
dachshund	0.0457476
filet	0.0455836
TOT	0.0455407
"water filter"	0.0450412
veal	0.0449054
"candy bar"	0.0442483
"train ticket"	0.0441346
Cognac	0.0440033
lattes	0.0438465
sundae	0.0437823
"fruit salad"	0.0436133
SIDES	0.0435174
arugula	0.0431829
matzoh	0.0427101
oatmeal	0.0426817
"cranberry juice"	0.0425989
Endive	0.0422864
meringue	0.042219
"cotton candy"	0.042044
"soda pop"	0.041921
parasol	0.0419003
"tomato sauce"	0.0418962
Lasagna	0.0418892
cupcake	0.041856
jerky	0.0418425
"hot sauce"	0.0417918
walleye	0.0416639
preserves	0.0415998
chorizo	0.0413519
pinata	0.0410672
"Pentium III"	0.0409559
"almond extract"	0.0408971
guacamole	0.0408875
brie	0.0408573
"blue crab"	0.0408122
"sonic boom"	0.0407759
"space vehicle"	0.0405672
subwoofer	0.0403001
"powdered milk"	0.0401778
))
("chicken soup" (desc 6998.13) (sims
soup	0.0892255
meatloaf	0.0709274
noodle	0.0632972
porridge	0.0618562
pastrami	0.0605815
Chili	0.0599628
stew	0.0598412
broth	0.0594999
mutton	0.0591807
gruel	0.0577363
oatmeal	0.0576323
"potato salad"	0.0570644
"chicken salad"	0.057015
spaghetti	0.0565522
gumbo	0.0556306
"corned beef"	0.0528719
sauce	0.0525764
"root beer"	0.0524449
Anthology	0.0516834
curry	0.0515794
Tamale	0.0508792
gravy	0.0507206
"dog food"	0.0501877
pasta	0.0500228
"spring roll"	0.0497099
"vegetable soup"	0.0495564
Tintin	0.0495009
"Harry Potter"	0.0482167
sausage	0.0478205
salad	0.0477861
cookbook	0.0476067
balm	0.0475954
Lasagna	0.0472959
"chocolate mousse"	0.0472031
"spaghetti sauce"	0.0468512
"tuna fish"	0.0465678
"scrambled egg"	0.0461267
cornbread	0.0460049
"chicken wing"	0.0458026
"peanut butter"	0.0457935
shank	0.0452969
brisket	0.0450035
folio	0.0448594
"apple pie"	0.0448164
"barbecue sauce"	0.0444462
doughnut	0.0444116
"tomato sauce"	0.0443865
tofu	0.0442523
"chicken broth"	0.0441795
ravioli	0.0439597
Spenser	0.0439406
herb	0.0438409
Dilbert	0.0436906
horseradish	0.0434638
biscuit	0.0432988
"Mod Squad"	0.0431957
self-help	0.0431728
"ice cream"	0.0422355
Menudo	0.0422285
"potato chip"	0.0422066
"Get Real"	0.0420054
pork	0.0418719
Encyclopedia	0.0418582
"Modern Library"	0.0417627
scone	0.0413765
"macaroni and cheese"	0.0410632
Bech	0.0410089
"pork tenderloin"	0.0407908
Wheaties	0.0407226
lemonade	0.0402316
"jelly bean"	0.0401711
yogurt	0.0401307
soy	0.040087
))
("chicken stock" (desc 5032) (sims
"chicken broth"	0.451694
"beef broth"	0.364438
half-and-half	0.295533
"cider vinegar"	0.279029
"beef stock"	0.275012
"coconut milk"	0.270166
"heavy cream"	0.262156
broth	0.246736
"evaporated milk"	0.230858
buttermilk	0.228201
"peanut oil"	0.219515
"soy sauce"	0.214171
"tomato paste"	0.210652
"pineapple juice"	0.198214
vinegar	0.191869
cider	0.189458
"whipping cream"	0.188687
"lemon juice"	0.187486
"lime juice"	0.184436
"tomato juice"	0.182983
"tomato sauce"	0.179563
"brown sugar"	0.179394
mayonnaise	0.177768
"white wine"	0.176802
"sour cream"	0.173964
ketchup	0.168498
"orange juice"	0.166567
"apple juice"	0.165789
"olive oil"	0.164919
"bay leaf"	0.163709
applesauce	0.157392
"corn syrup"	0.15675
"Worcestershire sauce"	0.155887
"skim milk"	0.154911
puree	0.154579
cornstarch	0.153786
"vegetable oil"	0.153645
"wine vinegar"	0.150619
milk	0.150336
sherry	0.149754
"egg yolk"	0.149446
onion	0.146945
flour	0.146424
"bean sprout"	0.143113
cream	0.141271
panko	0.137437
juice	0.136442
"maple syrup"	0.134936
Calvados	0.134348
"red wine"	0.133863
butter	0.133584
sugar	0.133217
parsley	0.132882
lentil	0.13151
croutons	0.131466
Garlic	0.128902
shallot	0.127415
tomato	0.126301
crumb	0.123979
cilantro	0.123373
"chili powder"	0.121291
margarine	0.121084
salt	0.120862
"chili sauce"	0.12061
cheese	0.12039
"blue cheese"	0.119959
shortening	0.119296
"condensed milk"	0.118192
vermouth	0.118184
sauce	0.117664
"cottage cheese"	0.116772
yogurt	0.11635
raisin	0.114221
"egg white"	0.113786
thyme	0.113707
Liquid	0.113135
"lemon zest"	0.112665
"pumpkin seed"	0.112539
"sesame oil"	0.112381
"white rice"	0.112363
Chickpea	0.112068
raspberry	0.110855
"macadamia nut"	0.110683
molasses	0.110236
Basil	0.108664
blueberry	0.108526
dill	0.108174
"orange zest"	0.107853
liqueur	0.107321
cornmeal	0.107262
"pine nut"	0.107234
mustard	0.106772
chicken	0.105776
bouillon	0.104884
breadcrumb	0.104865
honey	0.104256
"barbecue sauce"	0.103938
florets	0.102978
ricotta	0.102629
Masa	0.101936
mushroom	0.101904
"green onion"	0.101552
"fruit juice"	0.101094
rum	0.100216
oregano	0.10003
pineapple	0.0998033
"red pepper"	0.0994752
"cherry tomato"	0.0992834
pea	0.0991854
syrup	0.0988605
coconut	0.0986071
gravy	0.0983147
"vanilla ice cream"	0.0981169
blackberry	0.0976505
kernel	0.0966375
celery	0.096558
bourbon	0.0964156
paprika	0.0964017
pasta	0.096213
marshmallow	0.0960509
allspice	0.0959532
pepper	0.0958827
olive	0.0956363
cauliflower	0.0954946
leek	0.095438
"curry powder"	0.0954316
"peanut butter"	0.094349
noodle	0.0942734
canola	0.0939637
"black olive"	0.0938451
"brown rice"	0.0937005
ginger	0.0936037
zucchini	0.0935945
oatmeal	0.0934955
fraiche	0.0933454
"Grand Marnier"	0.0932204
polenta	0.0928197
"wild rice"	0.0926983
bean	0.0916573
vanilla	0.0908126
lard	0.0905972
mint	0.0905179
marjoram	0.0904609
coriander	0.0900769
"goat cheese"	0.0900154
tahini	0.0900089
currant	0.0897534
brandy	0.089507
"fava bean"	0.0894731
peppercorn	0.0891442
pumpkin	0.0891346
rosemary	0.0888406
Parmesan	0.0887852
"star anise"	0.0887083
"snow pea"	0.0882823
"cranberry sauce"	0.0880113
pesto	0.0877693
"bell pepper"	0.0875707
vegetable	0.0874672
jelly	0.0870858
paste	0.0867881
walnut	0.0865498
cinnamon	0.0865023
"fennel seed"	0.0862162
lettuce	0.0859532
"dairy product"	0.0856185
"ice water"	0.0854548
tarragon	0.0853394
"hoisin sauce"	0.085335
cashew	0.085153
"cream cheese"	0.0839895
cocoa	0.0838671
Broccoli	0.0836365
"cheddar cheese"	0.0835316
marinade	0.0834628
apricot	0.0834315
cranberry	0.0828928
veal	0.082765
FETA	0.0827042
seasoning	0.0824344
cayenne	0.0824125
carrot	0.0823314
"green olive"	0.0821171
"lemon peel"	0.0812582
"black bean"	0.0809043
"baking soda"	0.0806226
pecan	0.0803953
"dried fruit"	0.0799098
almond	0.0798398
sauerkraut	0.0797497
RHUBARB	0.0797156
"garlic clove"	0.0795275
pork	0.0794297
cabbage	0.0794171
"hot chocolate"	0.079398
"green bean"	0.0786457
soup	0.078638
bread	0.0784931
fennel	0.0784361
"grapefruit juice"	0.0777796
))
("chicken wing" (desc 3650.51) (sims
burgers	0.15466
cheeseburger	0.147391
Hamburger	0.137172
fajitas	0.127254
Tamale	0.126849
"chicken sandwich"	0.120287
burger	0.114699
cutlet	0.114424
steak	0.11269
"hot dog"	0.111871
bratwurst	0.110166
kebab	0.107112
"Caesar salad"	0.106467
"french fries"	0.104328
sausage	0.100636
"short ribs"	0.100304
pizza	0.0994861
taco	0.0993006
chicken	0.0981249
meatball	0.096986
nacho	0.0961244
guacamole	0.0958857
pastrami	0.0948447
shrimp	0.0922562
"chicken breast"	0.0893757
"chicken salad"	0.0889095
calamari	0.0888334
brisket	0.0885259
"macaroni and cheese"	0.0883344
spaghetti	0.088288
sparerib	0.0880675
seafood	0.0871707
milkshake	0.0867926
sandwich	0.0866939
eggplant	0.0858918
Lasagna	0.0845273
clam	0.0844116
Chili	0.0833999
pasta	0.0826185
"potato salad"	0.0824606
meatloaf	0.0819113
noodle	0.0816556
Burrito	0.0814749
okra	0.0808096
"tortilla chip"	0.0793665
appetizer	0.0791162
cheese	0.0763603
tuna	0.0763226
sundae	0.0761127
cheesecake	0.075625
pork	0.0753263
doughnut	0.0747433
venison	0.0747122
"potato chip"	0.0746522
sauerkraut	0.0737774
salad	0.0733873
prawn	0.0731909
plantain	0.073161
"pork tenderloin"	0.0730947
mussel	0.0730867
sushi	0.0728565
soup	0.0727955
"raw meat"	0.0727746
ham	0.0726433
pretzel	0.0720836
cornbread	0.0720295
"vegetable soup"	0.0717653
"cold cuts"	0.0716491
oyster	0.0712193
dumpling	0.0705441
fritter	0.0705321
"ground beef"	0.070445
onion	0.0698879
patty	0.0697128
bun	0.0694829
"corn chip"	0.0693337
soda	0.0689221
bean	0.0687836
"black bean"	0.0683773
popcorn	0.0683156
teriyaki	0.0682034
cake	0.068197
"ice cream"	0.0681925
"collard greens"	0.0678229
tofu	0.0678095
crawfish	0.0674789
"chocolate cake"	0.0672102
yogurt	0.0671736
"sweet potato"	0.0670889
"goat cheese"	0.0668556
"peanut butter"	0.0664229
spinach	0.0662281
ravioli	0.0662242
snack	0.0660911
"fish fillet"	0.0656901
coleslaw	0.0656071
bagel	0.0654483
tortilla	0.0654467
"fruit salad"	0.0652144
rib	0.0649826
pastry	0.064526
yam	0.0644993
enchilada	0.0644258
tomatillo	0.0643575
tenderloin	0.0639962
shallot	0.0636425
"soft drink"	0.0636409
biscuit	0.0636324
halibut	0.0633613
quesadillas	0.0633172
"beef tenderloin"	0.062983
"baked goods"	0.0627027
barbecue	0.0626185
gumbo	0.0623893
tails	0.0623467
marinade	0.0621939
shortcake	0.0616405
birdbath	0.0614879
bulgur	0.0613938
Broccoli	0.0613086
lamb	0.0610826
mutton	0.0610182
"meat loaf"	0.0608623
"tomato sauce"	0.0606832
broth	0.0606106
slaw	0.0603018
pickle	0.0600784
"apple pie"	0.0593633
"chili sauce"	0.0590643
"spring roll"	0.0590607
Catfish	0.0589896
chiles	0.0585904
"snack food"	0.0580047
Sirloin	0.0577376
mustard	0.0574774
veal	0.0572029
takeout	0.0571961
lettuce	0.057147
"fruit juice"	0.0570593
"French toast"	0.0570208
pie	0.056735
cucumber	0.0564718
"pork loin"	0.0564283
Garlic	0.0562331
watermelon	0.0561481
curry	0.056091
waffle	0.0560551
veggie	0.0559492
pesto	0.0559394
scone	0.0559276
spaetzle	0.0558723
curd	0.0557716
hummus	0.0555867
"sea bass"	0.0555698
"Sydney Opera House"	0.0555313
miso	0.0554631
filet	0.0553169
salsa	0.0551013
zucchini	0.0548668
bacon	0.0548272
polenta	0.0545442
buns	0.0544943
melon	0.0543047
asparagus	0.054112
"book jacket"	0.0540065
"chocolate chip cookie"	0.0539411
macaroni	0.0538668
quiche	0.0537868
mozzarella	0.0537193
pancake	0.05339
artichoke	0.0530354
"chocolate mousse"	0.0529704
"scrambled egg"	0.052793
quail	0.0527797
peanut	0.0527068
focaccia	0.0526257
anchovy	0.0524204
donut	0.0523205
"beef broth"	0.0519758
wasabi	0.0518814
"roast beef"	0.0516185
"corned beef"	0.0515268
scallion	0.0514138
bonbon	0.0513874
"leg of lamb"	0.0509185
porridge	0.0507277
marshmallow	0.0506295
"TV dinner"	0.0504209
"green bean"	0.0503622
omelet	0.0503489
"candy bar"	0.0502953
"bell pepper"	0.0502041
matzo	0.0501628
Collard	0.0499918
"blue cheese"	0.0499814
"tuna fish"	0.0498037
beekeeper	0.0497309
carrot	0.0496008
"white rice"	0.0494927
"hot chocolate"	0.0493198
))
(chickenpox (desc 1404.62) (sims
pox	0.259607
"hepatitis A"	0.231772
Rabies	0.230531
"hepatitis B"	0.221557
measles	0.216003
rotavirus	0.212358
"yellow fever"	0.199767
tetanus	0.193975
diphtheria	0.192375
polio	0.183688
Meningitis	0.156261
influenza	0.154196
smallpox	0.153389
"Lyme disease"	0.149058
hepatitis	0.148368
"common cold"	0.147119
herpes	0.141999
typhoid	0.133613
flu	0.13053
anthrax	0.130281
pneumonia	0.12851
"typhoid fever"	0.126844
Lyme	0.12455
diarrhea	0.118795
Dengue	0.117581
poliomyelitis	0.115844
ebola	0.114343
"West Nile"	0.103904
tuberculosis	0.10228
encephalitis	0.0972822
leprosy	0.0957031
bronchitis	0.0917908
HIV-@	0.090398
botulism	0.0899879
malaria	0.0833799
"Love Bug"	0.0829632
Hantavirus	0.0820905
melanoma	0.0814581
diarrhoea	0.0803546
rinderpest	0.0792231
"foot-and-mouth disease"	0.0785107
"dengue fever"	0.076734
Tb	0.0756846
cholera	0.0733094
gastroenteritis	0.0724472
ILOVEYOU	0.072089
"respiratory disease"	0.0720848
gonorrhea	0.0713138
gallstone	0.0708844
"food poisoning"	0.0703195
syphilis	0.068847
CJD	0.0686957
"venereal disease"	0.067405
leukemia	0.0667436
migraine	0.0646146
jaundice	0.0630592
asthma	0.0626111
"lung cancer"	0.0613028
clapboard	0.0593216
arthritis	0.058803
anemia	0.0586431
canker	0.0583216
C-section	0.0570771
Dysentery	0.0570113
STD	0.0569121
constipation	0.0567841
"hot flash"	0.0566362
"poison ivy"	0.0558669
"Trojan Horse"	0.055422
stomachache	0.0549784
recidivism	0.0538621
SIDS	0.0531794
osteoarthritis	0.0527744
sheathing	0.0522613
giardia	0.0511584
pre-@@@@	0.0498597
"goose bumps"	0.0492784
whiplash	0.0486617
swine	0.0482586
"sore throat"	0.0479195
flack	0.0476844
eb	0.0474757
"AIDS virus"	0.046911
psoriasis	0.046777
"juvenile delinquency"	0.0466759
vasectomy	0.0459727
cortisone	0.0459512
disbarment	0.0456847
flue	0.0456702
chamomile	0.0456466
"four to five"	0.0455493
"skin cancer"	0.0449557
LASIK	0.0448666
"Ed Yarnall"	0.0448472
minicamps	0.0440883
liposuction	0.0439581
"More than two"	0.0439516
"nearly four"	0.043823
"cardiovascular disease"	0.0434816
"HIV/ AIDS"	0.0434779
hangover	0.0428821
coli	0.0426436
morbidity	0.042085
"first aid"	0.0420252
ulcer	0.041985
anorexia	0.041754
"sexually transmitted disease"	0.0416756
"tooth decay"	0.0409239
Chlamydia	0.040824
"upset stomach"	0.0405914
O@@@:H@	0.0403001
IDD	0.0401886
))
(Chickpea (desc 3723.91) (sims
"white bean"	0.238616
"black bean"	0.199886
lentil	0.190714
bean	0.167608
pea	0.161777
bulgur	0.157358
anchovy	0.152844
eggplant	0.151477
artichoke	0.149634
carrot	0.149321
cauliflower	0.148671
"black-eyed pea"	0.147522
"pine nut"	0.147415
tomato	0.147252
"sweet potato"	0.146424
spinach	0.145872
"pinto bean"	0.142082
barley	0.142081
scallion	0.141795
"Swiss chard"	0.141733
onion	0.139169
pineapple	0.138712
"red pepper"	0.138332
potato	0.134254
pepper	0.134225
zucchini	0.134196
mushroom	0.133884
Garlic	0.132384
Broccoli	0.131019
noodle	0.129965
morel	0.129473
coconut	0.128134
cabbage	0.127769
Collard	0.127159
beet	0.127096
macaroni	0.126578
puree	0.126504
olive	0.12444
chilies	0.123479
celery	0.123098
yolk	0.122495
cucumber	0.122476
"green bean"	0.121897
"green onion"	0.121687
shallot	0.121589
asparagus	0.121045
okra	0.120648
"tomato sauce"	0.120376
broth	0.120129
fig	0.119088
"lima bean"	0.117865
arugula	0.117534
radish	0.116702
tortellini	0.116049
"water chestnut"	0.114808
fennel	0.114629
"bell pepper"	0.113562
"chicken broth"	0.11326
"winter squash"	0.11277
pork	0.112498
tomatillo	0.112221
"fava bean"	0.112157
"wild rice"	0.112148
"chicken stock"	0.112068
pumpkin	0.11195
parsley	0.111906
squash	0.111098
cornmeal	0.110501
clam	0.108582
pasta	0.10846
"coconut milk"	0.108013
"cherry tomato"	0.107558
RHUBARB	0.107293
spaetzle	0.107264
breadcrumb	0.106823
raisin	0.1061
seafood	0.105972
currant	0.105825
scallop	0.10562
corn	0.105406
sauerkraut	0.105139
"shiitake mushroom"	0.105091
"sea food"	0.10454
shrimp	0.104154
chiles	0.103101
"red onion"	0.102809
oregano	0.101309
"lemon zest"	0.101257
pancetta	0.100919
"brown sugar"	0.100497
linguine	0.100432
spaghetti	0.100294
Basil	0.100076
ricotta	0.0999513
porridge	0.0992429
ham	0.0984187
vegetable	0.0967771
"vegetable oil"	0.0965095
"cottage cheese"	0.0960878
brisket	0.0960596
almond	0.0960301
blueberry	0.095851
parsnip	0.0954663
tuna	0.0952959
caper	0.0951611
prune	0.0947831
"egg yolk"	0.094502
chorizo	0.0943245
"olive oil"	0.0942262
"tomato juice"	0.0938585
porcini	0.0937789
meatball	0.0933822
leek	0.0933765
oatmeal	0.093095
seasoning	0.0923721
walnut	0.0921596
kernel	0.0918466
sausage	0.0915848
cranberry	0.0915835
melon	0.0915128
florets	0.0912952
lettuce	0.0912833
turnip	0.0906633
tahini	0.0905332
"ground beef"	0.0905296
cornstarch	0.0903382
apricot	0.0897367
saffron	0.0895638
"sesame seed"	0.0893241
Chili	0.0889393
cheese	0.0884968
bread	0.0883698
tapioca	0.0883588
yogurt	0.0883435
flour	0.0882321
herb	0.0876504
"cranberry sauce"	0.0875817
frisee	0.0874586
jalapeno	0.0869704
calamari	0.0868223
chicken	0.0861337
"green pepper"	0.0860813
hazelnut	0.0860749
"lemon peel"	0.085388
mutton	0.0852405
"lime juice"	0.0851809
Endive	0.0851249
legume	0.0851001
sauce	0.0846683
pilaf	0.0845409
sardine	0.0845271
vinegar	0.0841384
marinade	0.0840647
dill	0.0839807
mayonnaise	0.0836855
crumb	0.0833064
matzo	0.0832597
soup	0.0832225
"red wine"	0.0831992
"sweet corn"	0.08302
"brussels sprout"	0.0829584
"pumpkin seed"	0.0827295
salt	0.0826821
"chicken breast"	0.082666
hummus	0.0825662
cantaloupe	0.0825541
mussel	0.082093
ginger	0.081859
squid	0.0817684
penne	0.0817018
tofu	0.0816028
veggie	0.0812547
Parmesan	0.081148
"evaporated milk"	0.0811409
seaweed	0.0811136
buttermilk	0.0810729
oyster	0.0809783
mustard	0.0808128
"lemon juice"	0.0807548
miso	0.0807508
veal	0.0807077
marjoram	0.080686
"white rice"	0.0805316
peach	0.0799752
"beef tenderloin"	0.0798845
"black olive"	0.0797286
pecan	0.0793616
bacon	0.0792614
"goat cheese"	0.0792564
lamb	0.0792322
nettle	0.0790825
Masa	0.0789525
"corned beef"	0.0789033
romaine	0.0787204
cassava	0.0786531
"dried fruit"	0.0785995
applesauce	0.0783549
mozzarella	0.0781205
"collard greens"	0.0779028
lemon	0.0778708
))
(Chico (desc 1741.24) (sims
Sunnyvale	0.111367
"Culver City"	0.108424
Vallejo	0.104823
Pleasanton	0.102928
Fullerton	0.0833121
Maude	0.0829103
Emeryville	0.0827209
"Westlake Village"	0.0811803
Camarillo	0.0803313
Cupertino	0.0758301
"Mission Viejo"	0.0745361
Torrance	0.0729586
"Riverside County"	0.0723958
Carlsbad	0.0723089
Ojai	0.0703083
Pittsburg	0.0701237
"El Segundo"	0.0693465
"Camp Pendleton"	0.0668087
"San Marcos"	0.0643931
Modesto	0.0635396
"Huntington Beach"	0.0634433
Calabasas	0.0629651
"South San Francisco"	0.0627378
Sausalito	0.0622979
"Santa Ana"	0.0622721
"Sonoma County"	0.0617142
Tarzana	0.0615782
Brentwood	0.0614537
"Manhattan Beach"	0.061273
Claremont	0.0610564
Burlingame	0.0604097
"Marin County"	0.0600372
"Century City"	0.0600092
Killeen	0.0599772
"Thousand Oaks"	0.0593379
"Mill Valley"	0.059293
"San Mateo"	0.0590358
Plano	0.0590207
"Palo Alto"	0.0577821
Oxnard	0.0564293
oceanside	0.0557007
"Walnut Creek"	0.0555214
Longview	0.0543129
"Santa Clarita"	0.0535459
Clavet	0.0534964
Fremont	0.0532583
Kensington	0.0528308
Gilligan	0.052305
"Pacific Palisades"	0.052062
Pomona	0.0519204
Harlingen	0.0517299
"San Luis Obispo"	0.0512661
Abilene	0.0511466
"Round Rock"	0.0511296
"San Carlos"	0.0509431
Denton	0.0509094
cypress	0.050644
Crockett	0.0503882
"La Jolla"	0.0503105
Redding	0.0500284
Petaluma	0.0495695
Inglewood	0.0495667
"North Hollywood"	0.0495243
Bakersfield	0.0494864
Hayward	0.048972
"Santa Maria"	0.0488492
"West Hollywood"	0.0482873
Mick	0.0482183
Antioch	0.0481796
Nacogdoches	0.0481532
"San Rafael"	0.0481322
"Woodland Hills"	0.0470714
"Redwood City"	0.0469929
Reseda	0.0461708
Encino	0.0459985
Katy	0.0457961
"Eagle Pass"	0.0450053
"New Braunfels"	0.0449203
Saginaw	0.0444416
"Simi Valley"	0.0436561
Hillsborough	0.0435249
Rosales	0.0433725
"Ward Connerly"	0.0419792
McAllen	0.0416209
"Murphy Brown"	0.0409634
Antonio	0.0408142
Dearborn	0.0403451
))
(chief (desc 192639) (sims
commander	0.196414
minister	0.18653
chairman	0.182184
General	0.180877
official	0.177355
secretary	0.172886
"chief of staff"	0.171855
leader	0.170144
director	0.168481
President	0.164998
Ambassador	0.14998
head	0.149583
commissioner	0.147712
deputy	0.146968
officer	0.146087
"foreign minister"	0.145538
"finance minister"	0.143748
"chief executive"	0.142396
representative	0.140739
Secretary-General	0.139616
"vice president"	0.139407
Premier	0.136011
Governor	0.133258
"secretary of state"	0.131247
member	0.130446
"head of state"	0.125545
executive	0.125515
spokesman	0.123783
Mayor	0.123442
"cabinet minister"	0.122113
"deputy director"	0.121242
envoy	0.120384
administrator	0.120195
manager	0.118892
"general secretary"	0.11683
diplomat	0.1148
Speaker	0.113993
"police chief"	0.113577
"Kofi Annan"	0.112103
"military leader"	0.11082
"managing director"	0.110085
director-general	0.10933
Chancellor	0.108226
adviser	0.105921
prosecutor	0.105709
Annan	0.104348
"commander in chief"	0.103909
"inspector general"	0.101905
legislator	0.101648
editor	0.101475
aide	0.101249
"vice chairman"	0.100779
"executive director"	0.100485
coordinator	0.100054
superintendent	0.0997911
"chief executive officer"	0.0990433
"deputy foreign minister"	0.0989688
treasurer	0.098665
delegation	0.0983455
Attorney	0.0983067
undersecretary	0.0982268
negotiator	0.0979202
government	0.0961715
staff	0.0959233
"general manager"	0.0959187
headquarter	0.0959146
expert	0.0958552
"military officer"	0.0958372
"Prime Minister"	0.0951233
judge	0.0947499
senator	0.093854
committee	0.0934504
lawmaker	0.0933355
delegate	0.0931135
Colonel	0.0930105
politician	0.0929366
"chief justice"	0.092691
"Nawaz Sharif"	0.0925271
Wiranto	0.0924208
Arafat	0.0919175
lawyer	0.0918746
"Secretary General"	0.0916587
Council	0.0911186
authority	0.090645
"Javier Solana"	0.0902925
department	0.0902017
correspondent	0.0900697
"Yevgeny Primakov"	0.0896984
police	0.0888744
"deputy chairman"	0.0885267
supervisor	0.0882626
"Benjamin Netanyahu"	0.08808
"Atal Bihari Vajpayee"	0.0876581
"William Cohen"	0.0875531
Counsel	0.0872619
"Ehud Barak"	0.0872459
advisor	0.0871715
inspector	0.087013
Moi	0.0865735
CEO	0.086321
Mandela	0.0863026
investigator	0.0861664
chairmen	0.0853705
Yeltsin	0.0849555
"Viktor Chernomyrdin"	0.0847747
Albright	0.0846558
vice-president	0.0846525
agent	0.0842298
journalist	0.0840748
bureau	0.0839682
"high commissioner"	0.083817
coach	0.0835814
"political leader"	0.0835148
Primakov	0.0834199
captain	0.0833839
personnel	0.0833421
board	0.0826626
office	0.0826207
parliamentarian	0.082323
Sharif	0.0822749
"board member"	0.0820775
ruler	0.0819345
doctor	0.0816693
"executive vice president"	0.0814543
"Sergei Kiriyenko"	0.0812623
"Ryutaro Hashimoto"	0.0811216
"business leader"	0.080939
"chief financial officer"	0.0809059
"chief operating officer"	0.0808048
ministry	0.0807371
"general counsel"	0.080736
employee	0.0806203
Mahathir	0.0805102
"Benazir Bhutto"	0.0804916
Barak	0.0804447
"Tony Blair"	0.0799791
leadership	0.0799785
owner	0.0796749
activist	0.0795949
"army officer"	0.0795077
"Chuan Leekpai"	0.0792015
Netanyahu	0.0791688
agency	0.0788936
"council member"	0.0788852
"Vladimir Putin"	0.0785904
"Keizo Obuchi"	0.0784747
Bos	0.0784398
mediator	0.0780794
administration	0.0780618
"staff member"	0.077826
commission	0.0777498
publisher	0.0776053
Magistrate	0.0775151
"committee member"	0.0771997
Chernomyrdin	0.0771683
candidate	0.0771332
reporter	0.0770725
businessmen	0.0770659
"security adviser"	0.0770139
"general staff"	0.076728
cabinet	0.0763497
"executive secretary"	0.076284
vice	0.0755094
Councillor	0.0754986
assistant	0.0754322
banker	0.0753562
Mubarak	0.0752761
"senior vice president"	0.075263
professor	0.0752155
"top executive"	0.0751946
"Sheikh Hasina"	0.0751937
group	0.0751506
army	0.0751417
"Janet Reno"	0.0751141
president-elect	0.0749508
scientist	0.0747585
"Hun Sen"	0.0747239
bishop	0.0744836
spokeswoman	0.0743846
Cohen	0.0741126
Comptroller	0.0740098
Clinton	0.0739498
Putin	0.0735887
soldier	0.0735775
consultant	0.0733898
Vajpayee	0.0733752
Admiral	0.0732652
engineer	0.073141
party	0.0731037
Prince	0.0731021
team	0.0730094
Chirac	0.0729514
"police officer"	0.0729097
Aziz	0.0728626
Congressman	0.0727918
chairperson	0.0724967
trustee	0.0721296
auditor	0.0718803
Sheriff	0.0716946
"minister of finance"	0.0713606
))
("chief administrative officer" (desc 1872.83) (sims
"chief financial officer"	0.0927294
"postmaster general"	0.0869054
"general counsel"	0.0825021
"financial officer"	0.0810112
"executive vice president"	0.0786634
concertmaster	0.0763451
Talebi	0.0755598
"chief operating officer"	0.0735352
"solicitor general"	0.0732016
D.A.	0.0730486
co-president	0.0703321
"fire chief"	0.0678982
scoutmaster	0.0668955
"executive officer"	0.066552
"Abbe Lowell"	0.0644479
CFO	0.0635351
"government minister"	0.0633751
"deputy general manager"	0.062837
"public defender"	0.0623324
"information officer"	0.0609691
rector	0.0606661
"Secretary of Commerce"	0.0606088
"governing board"	0.0605986
"William Neukom"	0.0603599
"Secretary of Defense"	0.0587679
Venables	0.0582014
"medical officer"	0.0580604
treasurer	0.0579629
"hockey coach"	0.0578168
councilwoman	0.0572184
Bhattarai	0.0562385
"Secretary- General"	0.0560907
Meguid	0.0558318
"school superintendent"	0.0554791
"Gregory Craig"	0.0546563
Strauss-Kahn	0.0546351
Andreessen	0.0544166
Rodionov	0.0539087
franchisee	0.0536374
Postmaster	0.0536111
"Jim Guy Tucker"	0.0532142
Espinosa	0.0530614
solicitor	0.0529991
"vice chancellor"	0.0528884
jailer	0.0527011
"Treasury Secretary"	0.0526931
Singson	0.0522206
"state's attorney"	0.0519505
"Rich Brooks"	0.0519131
batboy	0.0518988
Sharaa	0.0513504
"Abdul Salam Majali"	0.0512478
infantryman	0.0511705
commandant	0.0510364
"second person"	0.0504795
"Robert E. Rubin"	0.0495333
"director of research"	0.0491997
Yadav	0.0489186
ensign	0.0487068
"Dennis Johnson"	0.0486132
alderman	0.0484512
"first Head"	0.0481034
"town clerk"	0.0480446
"Charles Ruff"	0.0480178
"altar boy"	0.04797
"military attache"	0.0478889
"Christian Democrat"	0.0475769
"Bruce Lindsey"	0.0475529
"surgeon general"	0.0474467
"music director"	0.0472338
pallbearer	0.0468926
"Justice Center"	0.0466963
"Tony Coelho"	0.0463298
"Orlando Mercado"	0.0463053
Provost	0.046065
vaulter	0.0460055
"Koichi Kato"	0.0459893
"special agent"	0.0459618
vice-governor	0.045679
attorney-General	0.045663
"Noboru Takeshita"	0.0455794
"political commissar"	0.0455712
"Boutros Boutros Ghali"	0.0454997
"guardian angel"	0.0454824
"Howard Baker"	0.0454369
co-chairman	0.0453963
co-chairmen	0.0453483
"baseball coach"	0.0450261
Registrar	0.0450156
"business editor"	0.045008
"presiding officer"	0.0449983
"chairman of the board"	0.0449045
archivist	0.0448833
"Secretary General Esmat Abdel-Meguid"	0.0448518
Koirala	0.0448371
"sports editor"	0.0448339
COACHES	0.0447738
Comptroller	0.0446854
"window dressing"	0.0446824
O'Neil	0.0446327
"tax collector"	0.0444429
Zadornov	0.0444348
"deputy manager"	0.0443614
Sherrill	0.04424
Neeman	0.0442329
"managing editor"	0.0441733
"executive secretary"	0.0441363
bullfighter	0.0441221
Maddox	0.044119
"Richie Phillips"	0.0440548
claimer	0.0440348
"top officer"	0.0439971
"math teacher"	0.0439961
"art director"	0.0438887
"Secretary General Esmat Abdul-Meguid"	0.043812
bookkeeper	0.0437831
"Chinese Communist Party (CPC) Central Committee"	0.0437662
"finance chief"	0.0436364
"William Weld"	0.0435475
paralegal	0.0435377
"Kenneth W. Starr"	0.0435311
sommelier	0.043435
"Laurent Fabius"	0.043251
"Krishna Prasad Bhattarai"	0.0432203
headmaster	0.0430206
"staff sergeant"	0.0429733
prefect	0.0429686
"William Bennett"	0.0429348
thana	0.0429062
editor-in-chief	0.0427696
"Bill Skate"	0.0427461
Hiddink	0.0426601
Sahnoun	0.0426191
Kabariti	0.0425116
Arens	0.0423645
"Tomiichi Murayama"	0.0423277
"right-hand man"	0.0423237
"Roy Romer"	0.0422872
"senior executive"	0.0422528
"sales manager"	0.0422149
Pfeiffer	0.0419241
"prosecuting attorney"	0.0419172
Harmoko	0.0418304
"Bill Lann Lee"	0.0418138
Zico	0.0417727
mem	0.0416951
shipmate	0.0416662
"Frank Joklik"	0.0416349
"medical examiner"	0.041569
"Peter Verniero"	0.041516
"retail operation"	0.0412948
ghostwriter	0.04122
CEC	0.0411307
Napolitano	0.041038
"Dale Bumpers"	0.0409541
"Mike Espy"	0.0409399
Vasile	0.040817
"drug czar"	0.0407527
co-owner	0.0406631
Taubman	0.0405764
Dowd	0.0404545
"chairman emeritus"	0.0404431
Gump	0.0404387
"research director"	0.0400498
))
("chief executive" (desc 146464) (sims
"chief executive officer"	0.32603
CEO	0.262733
chairman	0.241009
"chief operating officer"	0.193407
"chief financial officer"	0.189565
executive	0.177639
share	0.156377
President	0.15158
"vice president"	0.146261
"senior vice president"	0.144698
chief	0.142396
shareholder	0.136321
"top executive"	0.134923
"executive vice president"	0.134549
"managing director"	0.128941
director	0.124492
"vice chairman"	0.124425
subsidiary	0.122172
founder	0.116618
"board of directors"	0.11427
cofounder	0.11297
board	0.112912
manager	0.112646
secretary	0.111216
"general manager"	0.110547
"board member"	0.105705
employee	0.103094
"general counsel"	0.101282
commissioner	0.100167
stock	0.0994677
minister	0.0992844
Governor	0.099192
Premier	0.0979733
acquisition	0.0977344
"finance minister"	0.0969688
Chancellor	0.0963447
official	0.0958153
"executive director"	0.0956151
"chairman of the board"	0.0944301
"Tung Chee Hwa"	0.0943846
leader	0.091088
representative	0.0910417
Mayor	0.0906288
unit	0.0886412
Speaker	0.0885151
treasurer	0.0879915
spokesman	0.0874591
Secretary-General	0.0866836
superintendent	0.086322
General	0.0862454
"head of state"	0.086204
"secretary of state"	0.0854194
officer	0.0852191
"chief justice"	0.0841068
head	0.083898
Ambassador	0.0836822
"foreign minister"	0.0834393
chairmen	0.0825823
division	0.0818086
editor	0.0808566
owner	0.0793595
commander	0.0790751
deputy	0.0790096
member	0.0784095
"general secretary"	0.0782966
administrator	0.0772068
co-chairman	0.0768355
management	0.0762489
Tung	0.0760126
"chief of staff"	0.0748956
"cabinet minister"	0.0748099
Attorney	0.0734269
spokeswoman	0.073038
merger	0.0728227
customer	0.0722735
"Nawaz Sharif"	0.0720981
partner	0.0708689
"commander in chief"	0.0705714
Moi	0.0704793
Mandela	0.0704705
trustee	0.0703414
headquarter	0.0701478
takeover	0.0701078
coach	0.0700772
adviser	0.0700409
"deputy chairman"	0.070025
publisher	0.068813
lawyer	0.0684618
Bos	0.0682745
director-general	0.0680836
government	0.0680673
legislator	0.0676302
"William Cohen"	0.0673133
Yeltsin	0.0669573
judge	0.0667278
"legislative council"	0.0664299
Counsel	0.0657531
coordinator	0.0657336
company	0.0656089
Council	0.0649877
vice-president	0.0648742
committee	0.0648038
chairwoman	0.0646202
"Ryutaro Hashimoto"	0.0645386
"Mahathir Mohamad"	0.064339
"Kofi Annan"	0.0642908
engineer	0.0642195
prosecutor	0.0638343
purchase	0.063542
Primakov	0.0633957
"deputy director"	0.0633412
"Prime Minister"	0.0632114
"music director"	0.0630997
banker	0.0630615
dean	0.063058
stockholder	0.0630286
"Yevgeny Primakov"	0.0626362
Samaranch	0.0620696
"Atal Bihari Vajpayee"	0.0620635
Mahathir	0.0620453
senator	0.0619805
Archbishop	0.0619203
bishop	0.061888
consultant	0.0615727
supervisor	0.0614321
"Benjamin Netanyahu"	0.061057
business	0.0607165
economist	0.0605219
principal	0.0600176
investor	0.0597366
Comptroller	0.0595961
operation	0.059553
profit	0.0595445
"Keizo Obuchi"	0.0593835
Annan	0.0592475
undersecretary	0.059231
captain	0.0591899
"Chuan Leekpai"	0.0591885
envoy	0.0591641
diplomat	0.0590926
earnings	0.0588672
Arafat	0.0587659
Cohen	0.0587234
"deputy foreign minister"	0.0585905
"crown prince"	0.0584531
entrepreneur	0.0581826
president-elect	0.0581462
"business leader"	0.0581038
legislature	0.0577286
analyst	0.0577077
"senior executive"	0.0575497
auditor	0.057279
leadership	0.0572161
"Tony Blair"	0.057214
"Viktor Chernomyrdin"	0.057213
"Sergei Kiriyenko"	0.0571217
assistant	0.0569424
Sharif	0.0566376
"executive secretary"	0.0565311
Wahid	0.0564376
competitor	0.0563725
doctor	0.0563543
successor	0.0563162
Hashimoto	0.056167
"Robert Rubin"	0.0560063
"Jean Chretien"	0.0557878
aide	0.0551466
Clinton	0.0550074
"Janet Reno"	0.0549275
candidate	0.0548023
ruler	0.0547772
professor	0.0545852
lawmaker	0.0545243
vice-chairman	0.0544061
worker	0.0544048
scientist	0.0543871
"Benazir Bhutto"	0.0543523
"first lady"	0.054288
pastor	0.0542878
mediator	0.054148
buyout	0.0541058
Chernomyrdin	0.0541031
"Ehud Barak"	0.0540763
pilot	0.0540715
"lieutenant governor"	0.0539917
expert	0.0539598
"Sheikh Hasina"	0.0539404
Hariri	0.0537686
Congressman	0.0537592
"military leader"	0.0537482
Barak	0.0537446
"Bill Gates"	0.0537179
veteran	0.0535396
staff	0.05346
delegate	0.0533219
Putin	0.0532355
office	0.0532228
Congress	0.0528121
journalist	0.0527751
administration	0.0524869
))
("chief executive officer" (desc 51248.9) (sims
"chief executive"	0.32603
CEO	0.272173
"chief operating officer"	0.212908
"chief financial officer"	0.178599
chairman	0.169842
"executive vice president"	0.148545
"senior vice president"	0.142766
"managing director"	0.129796
"chairman of the board"	0.116046
executive	0.113951
"vice chairman"	0.112311
"vice president"	0.110056
"executive director"	0.106418
"top executive"	0.106309
"general counsel"	0.106233
"board of directors"	0.105903
"general manager"	0.103327
President	0.102955
chief	0.0990433
director	0.096818
cofounder	0.0963963
"board member"	0.0963113
treasurer	0.0931338
founder	0.093013
subsidiary	0.0904023
share	0.089787
shareholder	0.0879333
superintendent	0.0831176
manager	0.0825104
chairwoman	0.0823479
"deputy chairman"	0.0779303
trustee	0.0754714
"finance minister"	0.0743042
co-chairman	0.0736703
secretary	0.073617
chairmen	0.0730847
commissioner	0.0728187
editor	0.0722205
board	0.0713701
CFO	0.0707768
"chief of staff"	0.0700175
editor-in-chief	0.0692062
co	0.068838
Secretary-General	0.0680523
"managing editor"	0.0674084
"deputy director"	0.0673944
"general secretary"	0.0673084
spokesman	0.0667477
dean	0.0662833
director-general	0.0662222
stockholder	0.0650856
"music director"	0.0648642
"commander in chief"	0.064853
officer	0.0642941
Attorney	0.0636142
Chancellor	0.0630659
employee	0.0624713
spokeswoman	0.0623387
"executive secretary"	0.0622391
Archbishop	0.0621039
coordinator	0.0618377
Premier	0.060883
vice-president	0.0608548
undersecretary	0.0607837
publisher	0.0607198
representative	0.060496
Ambassador	0.0599338
acquisition	0.0596427
commander	0.0591005
"deputy foreign minister"	0.0586
Counsel	0.058565
administrator	0.0581668
"senior executive"	0.0581367
"chief justice"	0.0579752
owner	0.0579176
"foreign minister"	0.057781
"secretary of state"	0.0569661
stock	0.0568549
Speaker	0.0564467
advisor	0.0564413
"Robert Rubin"	0.0563951
consultant	0.0561206
"cabinet minister"	0.0549228
headquarter	0.0547174
adviser	0.0546276
engineer	0.0543566
"inspector general"	0.0542217
co-chairmen	0.0541813
Governor	0.0541754
minister	0.0541683
division	0.053835
unit	0.0537949
Bos	0.0537596
General	0.05359
"medical officer"	0.0535666
"executive officer"	0.0533578
supervisor	0.0531235
vice-chairman	0.053104
principal	0.053013
"head of state"	0.0526706
auditor	0.0525214
Mayor	0.0520166
Ivester	0.0513602
lawyer	0.0511949
"press secretary"	0.0502537
"basketball coach"	0.0495086
accountant	0.0494931
pastor	0.0494794
partner	0.0492332
Comptroller	0.0492253
president-elect	0.0487541
"William Cohen"	0.0478921
chairperson	0.0475418
"solicitor general"	0.0473547
Colonel	0.0473124
curator	0.0471359
"flight attendant"	0.0468608
management	0.0462338
analyst	0.0462136
captain	0.0461136
"crown prince"	0.04591
"Bulent Ecevit"	0.0457108
negotiator	0.0456667
"Mesut Yilmaz"	0.0454113
"spiritual leader"	0.0453828
"investment banker"	0.0450419
"Secretary General"	0.0448585
assistant	0.0448382
correspondent	0.0447437
"football coach"	0.0445033
merger	0.044424
"William Daley"	0.0443371
deputy	0.0441646
economist	0.0441145
"Yevgeny Primakov"	0.0441057
"sales manager"	0.0439933
bishop	0.0439073
earnings	0.0436128
mediator	0.0435463
professor	0.0434995
Councilman	0.0434574
"Atal Bihari Vajpayee"	0.0433949
"project manager"	0.0431151
"Prime Minister"	0.0430608
prosecutor	0.0430496
"vice chancellor"	0.0430464
"pitching coach"	0.0430308
"Javier Solana"	0.0429745
"Ryutaro Hashimoto"	0.0429704
lobbyist	0.042731
customer	0.0425378
"high commissioner"	0.0421981
Moi	0.0420733
"Keizo Obuchi"	0.0420432
"Viktor Chernomyrdin"	0.0418895
"police chief"	0.0418872
"minister of finance"	0.0418092
Samaranch	0.0416298
co-owner	0.041548
GM	0.0415462
Mandela	0.0414032
"Bill Gates"	0.0413439
"cabinet member"	0.0410892
"Sergei Kiriyenko"	0.0410865
Guardian	0.0410727
committee	0.0409296
Lieutenant	0.0408861
"Rafik Hariri"	0.0408757
"Bill Richardson"	0.0408253
banker	0.0407702
Congressman	0.0406173
"Kofi Annan"	0.0405483
Sheriff	0.0405366
Cohen	0.040492
aide	0.0401135
envoy	0.0400858
buyout	0.040081
))
("Chief Executive Tung Chee-hwa" (desc 1439.42) (sims
Tung	0.181196
"Wlodzimierz Cimoszewicz"	0.174698
Deuba	0.169984
Banharn	0.165829
Phieu	0.161737
Simitis	0.156478
"Chuan Leekpai"	0.153522
"King Birendra"	0.153365
Klestil	0.152327
"Begum Khaleda Zia"	0.152245
Garang	0.151325
Camdessus	0.15089
"Pandeli Majko"	0.150711
Guterres	0.150452
"Secretary General Boutros Boutros-Ghali"	0.150227
Shevardnadze	0.149964
Luong	0.147454
Scalfaro	0.146032
Ikeda	0.144002
"Vo Van Kiet"	0.14155
Azad	0.141498
Chuan	0.141498
Majali	0.141134
"Pascoal Mocumbi"	0.141081
Klima	0.140389
Rakhmonov	0.139377
"Atef Obeid"	0.139208
"Secretary General Esmat Abdul-Meguid"	0.138883
Ciampi	0.138775
Ruehe	0.138176
"Bashkim Fino"	0.137415
"Sher Bahadur Deuba"	0.137245
Jayakumar	0.137014
Lipponen	0.136969
Nazarbayev	0.136722
Granic	0.136106
"H.D Deve Gowda"	0.134927
"Minister Shlomo Ben-Ami"	0.13461
"John G. Rowland"	0.133745
Meguid	0.13373
Aznar	0.133665
"Antonio Guterres"	0.133252
"Prime Minister Banharn Silpa-Archa"	0.132716
Meles	0.131801
"Atal Bihari Vajpayee"	0.131793
"Deve Gowda"	0.131482
Kuchma	0.131087
Shipley	0.129963
Kabariti	0.129675
Kostov	0.128982
Bolger	0.128337
Velayati	0.12819
al-Sahhaf	0.127842
Hasina	0.127588
Narayanan	0.127367
"Prime Minister Kamal El-Ganzouri"	0.127153
Chavalit	0.127018
"Binyamin Netanyahu"	0.1269
Orban	0.126811
"President Kim Dae-jung"	0.126704
Hybl	0.126478
Rafsanjani	0.125969
"Fatos Nano"	0.125456
"Costas Simitis"	0.125372
Gujral	0.125166
Pickering	0.125124
Malan	0.12495
"Jean Chretien"	0.124855
Constantinescu	0.124849
Jovanovic	0.124684
"Valery Pustovoitenko"	0.124165
Mkapa	0.123891
"Yevgeny Primakov"	0.12364
Abdel-Meguid	0.123155
"Sergei Kiriyenko"	0.122789
Komura	0.122697
Obuchi	0.122481
Khamenei	0.122403
Fino	0.122344
"Keizo Obuchi"	0.121749
"Secretary-General Boutros Boutros-Ghali"	0.121168
Zedillo	0.120928
"Tung Chee Hwa"	0.120692
"Huang Ju"	0.120265
"De Soto"	0.11992
"Chavalit Yongchaiyudh"	0.119862
Chissano	0.119788
el-Ganzouri	0.119402
Musharraf	0.119136
Museveni	0.118784
"President Kim Young-sam"	0.118233
Moi	0.11798
Marulanda	0.117925
"Lionel Jospin"	0.117887
Khai	0.1177
Bhattarai	0.117694
"King Abdullah II"	0.117595
"Jerzy Buzek"	0.11749
"de Charette"	0.117288
Murayama	0.117029
"Vaclav Klaus"	0.117016
Nujoma	0.116893
Ganzouri	0.116188
Estrada	0.115933
Niyazov	0.115666
"Pakalitha Mosisili"	0.115403
Buzek	0.11529
Sumaye	0.115118
Dehaene	0.114974
"John Bruton"	0.114246
Ikimi	0.114225
Ecevit	0.114188
Hashimoto	0.11338
Pustovoitenko	0.113362
Ahern	0.113256
Axworthy	0.113236
"Yoshiro Mori"	0.113001
"Inder Kumar Gujral"	0.112993
Glickman	0.112658
Bruton	0.112558
"Salim Hoss"	0.112324
Zeroual	0.111706
Demirel	0.111668
Brittan	0.111635
Kharrazi	0.111534
Siazon	0.110896
"President Lee Teng-hui"	0.110867
Khatami	0.110724
Muoi	0.110513
"Abdulsalami Abubakar"	0.110496
Leghari	0.110372
D'Alema	0.1103
"Maung Aye"	0.109831
Dini	0.109564
Dae-jung	0.10951
Muluzi	0.109375
Frei	0.10893
"Radu Vasile"	0.108929
Menem	0.108835
Chirac	0.108759
Zuma	0.108727
"King Abdullah Bin Hussein"	0.108705
Mugabe	0.108521
Clerides	0.108495
"Ryutaro Hashimoto"	0.108465
Husseini	0.108386
"Krishna Prasad Bhattarai"	0.108332
Hariri	0.108308
Stoyanov	0.108173
"Gray Davis"	0.108169
Juncker	0.108123
"John Major"	0.108047
"William Daley"	0.107818
"Frederick Sumaye"	0.107794
Chretien	0.107614
Misuari	0.10754
Ogata	0.107327
Nano	0.107144
Zhu	0.107016
"Lee Hsien Loong"	0.106924
emir	0.106687
Nzo	0.106601
Izetbegovic	0.106447
Alatas	0.106441
Esser	0.106425
Diouf	0.106383
Alarcon	0.106301
Tarrin	0.106263
"Michel Camdessus"	0.106154
Pangalos	0.10599
Erbakan	0.105461
"Helen Clark"	0.105136
Moratinos	0.105093
Barshefsky	0.105071
"Benazir Bhutto"	0.104921
Santer	0.104878
Cem	0.104747
Samaranch	0.104632
Lukashenko	0.104626
"Dan Glickman"	0.10453
Rong	0.104348
"Goran Persson"	0.104318
Ershad	0.103842
Koo	0.103779
Amato	0.103775
Kok	0.103764
Vajpayee	0.103381
Chiluba	0.103276
Yastrzhembsky	0.103139
Brundtland	0.103024
"Secretary General Esmat Abdel-Meguid"	0.102932
"Defense William Cohen"	0.102854
Ramos	0.102841
Saleh	0.102796
"Atal Behari Vajpayee"	0.102777
"William Cohen"	0.102581
Vasile	0.102507
Caldera	0.102407
"Saudi King Fahd Ibn Abdul-Aziz"	0.102078
Malu	0.101896
"Hashim Thaci"	0.101554
"Meles Zenawi"	0.101516
Esrey	0.101406
"Bertie Ahern"	0.101327
Levitt	0.101304
"Viktor Chernomyrdin"	0.101097
Wolfensohn	0.101055
Mandela	0.100836
"Rafik Hariri"	0.10078
"Jordanian King Abdullah Bin Hussein"	0.100667
Wahid	0.100649
Carollo	0.100606
Abubakar	0.100471
"Mesut Yilmaz"	0.100399
Mbeki	0.10013
))
("chief financial officer" (desc 23508.8) (sims
"chief operating officer"	0.193438
"chief executive"	0.189565
"chief executive officer"	0.178599
"senior vice president"	0.157409
CEO	0.14302
"executive vice president"	0.140189
"general counsel"	0.135963
"top executive"	0.123329
CFO	0.1208
"managing director"	0.113423
"vice chairman"	0.105056
chairman	0.102344
treasurer	0.102037
"board of directors"	0.101684
executive	0.100101
"vice president"	0.100042
cofounder	0.0999987
"general manager"	0.0966986
"chief administrative officer"	0.0927294
"chairman of the board"	0.0920928
"financial officer"	0.0895221
superintendent	0.0856521
director	0.0828433
"executive director"	0.0818645
manager	0.0816351
chief	0.0809059
"board member"	0.0802444
"sales manager"	0.0750226
"senior executive"	0.0744831
"chief of staff"	0.0743677
founder	0.0734169
"managing editor"	0.0729463
editor-in-chief	0.0729317
"deputy director"	0.0726882
coordinator	0.0725969
"information officer"	0.0722549
auditor	0.0715952
trustee	0.0714094
Counsel	0.0704592
"music director"	0.0702184
board	0.0696844
subsidiary	0.0673155
"proxy statement"	0.0657568
commissioner	0.0657011
"inspector general"	0.0656855
"deputy chairman"	0.0654202
administrator	0.0644848
"investment officer"	0.0641268
editor	0.0639894
Provost	0.0638907
dean	0.0637024
director-general	0.062939
chairwoman	0.0623822
engineer	0.0623642
"press secretary"	0.0618638
earnings	0.0616993
shareholder	0.0613421
secretary	0.0602103
Attorney	0.0600669
"executive secretary"	0.0594231
co-chairmen	0.059347
co	0.0592161
division	0.0591756
supervisor	0.059091
"commander in chief"	0.0586312
bookkeeper	0.0585246
"finance minister"	0.0584947
co-chairman	0.0583811
copywriter	0.0581568
"project manager"	0.0581193
spokesman	0.0568105
"investment banker"	0.0562237
undersecretary	0.0559791
assistant	0.0558475
"basketball coach"	0.0553754
accountant	0.0551908
"medical officer"	0.0550012
adviser	0.0546115
economist	0.0542829
Archbishop	0.0539742
stockbroker	0.0532752
spokeswoman	0.0521623
"solicitor general"	0.0521481
acquisition	0.0520902
"fire chief"	0.0520548
"football coach"	0.0520402
"cabinet minister"	0.0517715
"general secretary"	0.0517319
consultant	0.051067
publisher	0.0508568
"group president"	0.0508184
headquarter	0.050738
Lieutenant	0.0505913
commander	0.0501592
"secretary of state"	0.049799
revenue	0.0494474
"pitching coach"	0.0494177
Secretary-General	0.0493095
"executive officer"	0.0492464
"software engineer"	0.0487546
"net income"	0.0486697
curator	0.0483778
Chancellor	0.0482469
chaplain	0.0480536
"lieutenant governor"	0.0480315
Premier	0.0480172
lobbyist	0.0478984
"director of research"	0.0476827
"chief justice"	0.0473059
underwriter	0.0471354
"district attorney"	0.047013
receptionist	0.0468598
chairmen	0.0466221
advisor	0.046492
"Robert Rubin"	0.0463982
"public defender"	0.0463465
controller	0.0462355
Comptroller	0.0459169
technician	0.0458509
Councilman	0.0456774
"art director"	0.045461
strategist	0.0454159
clerk	0.045325
actuary	0.0452173
"surgeon general"	0.0451349
publicist	0.0450755
"foreign minister"	0.0449615
principal	0.0448603
Bos	0.0448019
"department head"	0.044785
rector	0.0446193
"lieutenant general"	0.0445438
instructor	0.0440658
part-owner	0.0439229
"market value"	0.0438842
czar	0.0437829
Sheriff	0.0437054
"crown prince"	0.0436043
Programmer	0.0434422
Magistrate	0.0432224
"earning per share"	0.0431453
housekeeper	0.0431105
pastor	0.0429627
correspondent	0.0428543
caretaker	0.0427603
vice-president	0.0427476
"state senator"	0.0426919
stockholder	0.0426759
"vice chancellor"	0.0425674
bishop	0.0425487
co-conspirator	0.0424242
second-in-command	0.0423493
"police chief"	0.0422114
"Services division"	0.0420399
"product line"	0.0420247
"Mesut Yilmaz"	0.0419702
salesman	0.0418167
"security adviser"	0.0417792
organist	0.0416985
"sports editor"	0.0416976
"deputy general manager"	0.041597
"right-hand man"	0.041474
chairperson	0.0411952
custodian	0.0410683
foreman	0.041032
"English teacher"	0.0409699
"deputy foreign minister"	0.0408547
"market share"	0.0407679
Registrar	0.0407591
"financial statement"	0.0405105
apprentice	0.0404668
GM	0.0402591
newsman	0.0401803
"cabinet member"	0.0401565
Coelho	0.0400356
))
("chief justice" (desc 32914.6) (sims
Rehnquist	0.166015
justice	0.158547
judge	0.156051
minister	0.109023
"finance minister"	0.1075
commissioner	0.107177
Governor	0.10688
secretary	0.105739
Ambassador	0.105284
Souter	0.104964
"secretary of state"	0.104808
"foreign minister"	0.101509
"lieutenant governor"	0.101048
Scalia	0.100679
"Supreme Court"	0.100106
Speaker	0.0999383
President	0.0998745
Premier	0.0986887
"solicitor general"	0.0977589
Magistrate	0.0976167
"vice president"	0.0956145
General	0.0952049
O'Connor	0.093605
"cabinet minister"	0.093451
chief	0.092691
senator	0.0916336
"head of state"	0.0907872
treasurer	0.0904505
Mayor	0.0900192
Secretary-General	0.0898144
Chancellor	0.089756
"commander in chief"	0.0897514
"Prime Minister"	0.088538
"Benazir Bhutto"	0.0870403
superintendent	0.0861949
"inspector general"	0.0861661
Moi	0.0857281
"deputy foreign minister"	0.0854429
"governor general"	0.0851285
Breyer	0.0850725
"Atal Bihari Vajpayee"	0.0850285
chairman	0.084812
prosecutor	0.0846777
"Inder Kumar Gujral"	0.0843049
"chief executive"	0.0841068
"Deve Gowda"	0.0838885
"Court of Final Appeal"	0.0832623
"Nawaz Sharif"	0.0826442
"Attorney General"	0.0817525
deputy	0.0811848
representative	0.0790223
Comptroller	0.0787524
legislator	0.0785972
parliamentarian	0.0781966
bishop	0.0775967
"chief of staff"	0.0775871
Archbishop	0.0774745
director-general	0.0773264
Vajpayee	0.0766632
"appeals court"	0.0766192
commander	0.0762921
"military leader"	0.0758645
"high court"	0.0756882
arbitrator	0.0754233
"surgeon general"	0.0752773
Mandela	0.075194
"presiding officer"	0.074681
Ginsburg	0.0744811
"Sheikh Hasina"	0.0742133
"general secretary"	0.0738625
"high commissioner"	0.0737925
"postmaster general"	0.0736974
"Frederick Sumaye"	0.0735723
envoy	0.0734873
"Appellate Division"	0.0731678
"George Mitchell"	0.0724627
Abubakar	0.0723389
Hyde	0.0721921
"William Cohen"	0.0719618
Lott	0.0719136
chairmen	0.0709986
vice-president	0.0709146
Sharif	0.0706543
undersecretary	0.0705799
attorney-General	0.0704214
Stevens	0.0702109
administrator	0.0701124
Congressman	0.0696237
"Tung Chee Hwa"	0.0696106
"district attorney"	0.0693369
"Secretary General"	0.0692571
chairperson	0.0691441
"Janet Reno"	0.0690205
"Viktor Chernomyrdin"	0.0686389
CEC	0.0685221
Counsel	0.0684951
Chuan	0.0684095
"council member"	0.0682749
Lamberth	0.068056
"Atal Behari Vajpayee"	0.0679361
"I.K Gujral"	0.0675445
Registrar	0.0675335
"court of appeals"	0.0675053
"Bill Richardson"	0.0674903
"H.D Deve Gowda"	0.0672946
"President Kim Young-sam"	0.0668185
lawmaker	0.0666351
Estrada	0.0664417
"managing director"	0.0663932
Ruggiero	0.0663522
"Kofi Annan"	0.0662723
"Chuan Leekpai"	0.0661717
"Clarence Thomas"	0.0660952
Gujral	0.0660111
appointee	0.0659907
panel	0.0658556
Wiranto	0.0657151
"Minister Shlomo Ben-Ami"	0.0655201
"Chief Executive Tung Chee-hwa"	0.0653667
Ramos	0.0652309
"P.V Narasimha Rao"	0.0652304
"vice chairman"	0.0648505
"Sergei Kiriyenko"	0.0647783
dean	0.0647438
"Yevgeny Primakov"	0.0646524
"executive secretary"	0.0645626
"Hun Sen"	0.0644815
Lukashenko	0.0642552
dissenter	0.0641457
Attorney	0.0641402
"crown prince"	0.0640374
diplomat	0.0638295
clerk	0.0636805
"minister of finance"	0.0636531
Hasina	0.0635584
Yeltsin	0.0633583
Samaranch	0.0633562
director	0.0633369
"police chief"	0.0632299
Khamenei	0.0632261
Colonel	0.063188
"Benjamin Netanyahu"	0.0630301
juror	0.063021
"Christie Whitman"	0.062814
Tung	0.0626515
Koirala	0.0626193
Chernomyrdin	0.0625035
Blackmun	0.0624474
MP	0.0622009
Sheriff	0.0621791
"chief operating officer"	0.0619113
vice	0.0618394
cabinet	0.0616867
"John Howard"	0.0616767
cleric	0.0616067
"Robert Rubin"	0.0616056
Hastert	0.0615777
"Yoshiro Mori"	0.0615169
lawyer	0.0615103
"appellate court"	0.0614744
Admiral	0.0613764
auditor	0.0613263
trustee	0.0612433
"Li Peng"	0.0612011
president-elect	0.0611861
Cohen	0.0611034
officer	0.0609623
"Rafik Hariri"	0.0609585
ruler	0.0608993
Kennedy	0.0607726
"committee member"	0.0604485
aide	0.060417
Rao	0.0603706
court	0.0603048
Sharon	0.0602839
"Ehud Barak"	0.0601645
"U.S. Supreme Court"	0.0601256
SJC	0.0600782
"military officer"	0.060035
"King Hussein"	0.0599206
Ombudsman	0.0598579
"executive council"	0.0598198
Alarcon	0.0597057
"government officials"	0.0596974
Procurator	0.0596952
mediator	0.0595718
"Vladimir Putin"	0.0593924
Clinton	0.0592141
Hariri	0.0589818
"cabinet member"	0.0589535
Wahid	0.058837
Brock	0.0588325
Mahathir	0.0588288
Annan	0.0588019
congressmen	0.0587262
regulator	0.0587097
jurist	0.0586789
Primakov	0.0586603
Greenspan	0.0585948
"first lady"	0.0583984
))
("chief of staff" (desc 60807.2) (sims
chief	0.171855
"press secretary"	0.167637
aide	0.164321
commander	0.162358
"security adviser"	0.158166
secretary	0.157087
"secretary of state"	0.147514
adviser	0.141025
"commander in chief"	0.136135
General	0.134568
"general staff"	0.128486
"finance minister"	0.126195
"William Cohen"	0.123351
minister	0.122387
"foreign minister"	0.121164
advisor	0.118001
spokesman	0.117088
Ambassador	0.115339
undersecretary	0.114227
chairman	0.113255
deputy	0.111976
"cabinet minister"	0.111324
commissioner	0.11111
"deputy foreign minister"	0.110661
Counsel	0.107566
Wiranto	0.101722
"vice president"	0.0970403
"inspector general"	0.0969459
confidant	0.0958774
envoy	0.0957202
director	0.0956886
"Yevgeny Primakov"	0.0948382
"National Security Adviser Sandy Berger"	0.094302
"surgeon general"	0.0937251
negotiator	0.0936781
President	0.0927627
officer	0.0925286
"managing director"	0.0920458
"Javier Solana"	0.0917386
"Viktor Chernomyrdin"	0.0915011
Governor	0.0912132
treasurer	0.0906923
representative	0.0904725
Secretary-General	0.090187
"military leader"	0.0900693
Premier	0.0897541
"National Security Council"	0.0888766
official	0.0888482
Colonel	0.0888084
leader	0.0882927
"head of state"	0.0877776
Chancellor	0.0874547
"political commissar"	0.087409
Mayor	0.0850367
"vice chairman"	0.0847038
administrator	0.0845775
"Janet Reno"	0.0844936
"Lawrence Summers"	0.0843336
"deputy director"	0.0843095
staff	0.0837084
vice-president	0.083559
"Robert Rubin"	0.0834031
"executive secretary"	0.0830248
"military officer"	0.0830114
Attorney	0.0829946
Barshefsky	0.0829603
"Defense William Cohen"	0.0828336
"Henry Shelton"	0.0828108
cabinet	0.0825441
"solicitor general"	0.0824334
"Atal Bihari Vajpayee"	0.0823479
"Sergei Kiriyenko"	0.0820976
"William Perry"	0.0818225
"general secretary"	0.0814565
"Phan Van Khai"	0.08138
Speaker	0.081252
superintendent	0.0808857
"Saeb Erekat"	0.0805197
assistant	0.0801146
director-general	0.0798404
"general counsel"	0.0793506
al-Shara	0.0789944
speechwriter	0.0789607
appointee	0.0785493
coordinator	0.0784691
Admiral	0.0784291
Albright	0.0783248
"Benjamin Netanyahu"	0.0779964
"chief justice"	0.0775871
"Kofi Annan"	0.0774412
"lieutenant general"	0.0769518
strategist	0.0768868
manager	0.076737
"Secretary of Defense"	0.0765627
prosecutor	0.0759984
"Sandy Berger"	0.0758235
"Prime Minister"	0.0758207
mediator	0.0756853
"Anatoly Chubais"	0.0756343
"Sergei Stepashin"	0.0752934
"high command"	0.0752175
Moi	0.0751688
diplomat	0.0749545
"chief executive"	0.0748956
"crown prince"	0.074812
"Ehud Barak"	0.0748039
"Minister Shlomo Ben-Ami"	0.0747199
Lieutenant	0.0745451
"high commissioner"	0.0744372
"chief financial officer"	0.0743677
"police chief"	0.0742917
"Bill Richardson"	0.0742281
"Mesut Yilmaz"	0.0742227
"Nawaz Sharif"	0.0737173
"cabinet member"	0.0735704
Congressman	0.0732739
"John Podesta"	0.0729146
Comptroller	0.0728417
senator	0.0727142
"Chuan Leekpai"	0.0726586
lawyer	0.0722676
Arafat	0.0721349
"executive director"	0.0719529
"William Daley"	0.071681
"Yoshiro Mori"	0.0715248
"Benazir Bhutto"	0.0705575
"Dennis Ross"	0.0703215
"Binyamin Netanyahu"	0.0703181
"Bulent Ecevit"	0.0702318
Cohen	0.0702171
"chief executive officer"	0.0700175
spokeswoman	0.0699485
"deputy chairman"	0.0699194
member	0.0697907
committee	0.0696505
"army officer"	0.0696082
legislator	0.0691435
trustee	0.0691325
"Secretary General"	0.0689867
"Shimon Peres"	0.068965
"general manager"	0.0689107
supervisor	0.0688239
"Jean Chretien"	0.0686362
"Rafik Hariri"	0.0685962
"Ryutaro Hashimoto"	0.0685615
"Keizo Obuchi"	0.0682118
delegation	0.0682068
dean	0.0679882
"Meles Zenawi"	0.0679118
el-Ganzouri	0.0676741
Primakov	0.0675431
"Vernon Jordan"	0.06731
successor	0.0672796
"chief operating officer"	0.0670658
second-in-command	0.0670477
Mandela	0.0669637
"Rodney Slater"	0.0669352
"Bruce Lindsey"	0.0668508
administration	0.0668249
"Costas Simitis"	0.0666952
"executive vice president"	0.0665075
"Goh Chok Tong"	0.0662519
"Necmettin Erbakan"	0.0661656
"Chavalit Yongchaiyudh"	0.0658211
"minister of finance"	0.0656475
Annan	0.0656324
"Inder Kumar Gujral"	0.0656023
chairmen	0.0651452
counselor	0.0649071
"President Kim Dae-jung"	0.0648265
"John Howard"	0.0644018
Sergeyev	0.0641555
Lahoud	0.0640935
"Boris Nemtsov"	0.0638388
"Atal Behari Vajpayee"	0.0636147
al-Sharaa	0.0635596
"Sheikh Hasina"	0.0634517
vice	0.0633075
Vice-Premier	0.0631377
executive	0.0631372
Chernomyrdin	0.0631294
ally	0.0630313
Mubarak	0.0627886
"Salim Hoss"	0.0627757
president-elect	0.0627754
consultant	0.062654
Sharif	0.0625154
"Wesley Clark"	0.0624047
Netanyahu	0.0623622
"lieutenant governor"	0.0623537
"staff member"	0.062291
"intelligence officer"	0.0619151
"Oded Eran"	0.0618406
commandant	0.0617569
"Sidney Blumenthal"	0.0616443
Council	0.0616142
"Vladimir Putin"	0.0616089
"running mate"	0.0614896
"drug czar"	0.0614836
Vajpayee	0.0613126
))
("chief of state" (desc 2284.54) (sims
"head of state"	0.131266
"Group of Rio"	0.0866334
"Group of @@"	0.079841
"Congress Working Committee"	0.079385
"Viktor Orban"	0.0792034
parliamentarian	0.0778579
"South Pacific Forum"	0.0756042
"Renault SA"	0.0705595
Scalfaro	0.0701399
"Rio Group"	0.0699645
"Central Organ"	0.0685979
member-states	0.0682971
"Vietnamese Communist Party"	0.0682636
"military leader"	0.0680752
"executive agency"	0.0677868
strongmen	0.0677327
"business leader"	0.0664148
"Economic and Social Council"	0.0655919
Deuba	0.065111
"Chavalit Yongchaiyudh"	0.0649122
"customs union"	0.0648772
"Secretary-General Boutros Boutros-Ghali"	0.0644585
"Secretary General Esmat Abdul-Meguid"	0.0640769
"Organization of Islamic Conference"	0.06402
"religious leader"	0.0633045
Pustovoitenko	0.0628729
"Consultative Group"	0.0628528
"Christine Arron"	0.0627753
"Bashkim Fino"	0.0627636
"Jerusalem Committee"	0.0625779
"Abdul Salam Majali"	0.0623829
"newspaper editor"	0.0622665
"Vladimir Meciar"	0.0621054
"Council of Ministers"	0.0620999
Lipponen	0.061827
"military attache"	0.0617439
breadbasket	0.0616659
"Group of Eight"	0.0613613
educationist	0.0612346
"Simon Bolivar"	0.0610556
Koskinen	0.0607237
Bouteflika	0.0603958
"Palestinian Council"	0.0599264
"Commonwealth Ministerial Action Group"	0.0597353
"tribal chief"	0.0590608
"Revolutionary Command Council"	0.0590271
eco	0.0589173
troika	0.0587791
footballer	0.0585658
"State Law and Order Restoration Council"	0.0580734
"commander in chief"	0.057951
"Antonio Guterres"	0.0577204
"African Economic Community"	0.0574059
"European Council"	0.0573251
Patasse	0.0572031
Industrialist	0.0571589
prefect	0.0568371
protectorate	0.0566941
"test pilot"	0.0565986
"core group"	0.0563688
watchman	0.0563591
"military officer"	0.0560972
"newspaper publisher"	0.0559663
"Chief Executive Tung Chee-hwa"	0.0558631
"Secretary- General"	0.055771
"governor general"	0.0557469
"Central Council"	0.055669
Hamad	0.0556154
"Non-Aligned Movement"	0.0554435
consul	0.0552094
Fino	0.0550577
"union representative"	0.0550027
Kostov	0.0548768
"Bernard Kouchner"	0.0548738
"Damascus Declaration"	0.0548519
"Salim Ahmed Salim"	0.0547574
CPLP	0.0546756
"policy maker"	0.0543358
"Olusegun Obasanjo"	0.0542361
"Organisation of African Unity"	0.0541919
"National Executive Committee"	0.0540398
Kabariti	0.0537957
Stoyanov	0.0535903
"PLO Executive Committee"	0.0534767
G-@@	0.0534235
"national leader"	0.0534226
"Prime Ministers"	0.0530904
"Abidine Ben Ali"	0.0530864
"Group of Seven"	0.0530561
pan-Arab	0.0527728
CWC	0.0526682
"government officials"	0.0523852
"Economic Cooperation Organization"	0.0523694
Ikimi	0.0522384
autocrat	0.051912
Nujoma	0.0518265
"army officer"	0.0517558
"Jerzy Buzek"	0.0516782
"General Council"	0.0515733
chairperson	0.0515236
president-elect	0.0514766
"labor leader"	0.0514429
"Joint Liaison Group"	0.0512902
sub-regional	0.0512165
despot	0.0512114
"enlisted man"	0.0511973
"President Kim Young-sam"	0.0511422
strongman	0.0510575
"interim committee"	0.0509947
"business executive"	0.0508995
Majali	0.0508159
"Inter-Governmental Authority on Development"	0.0506001
"Boutros Boutros Ghali"	0.0504785
"General Committee"	0.0504148
"Noboru Takeshita"	0.0503267
policy-makers	0.0502619
"Common Market for Eastern and Southern Africa"	0.0502528
"President Lee Teng-hui"	0.0501097
Constantinescu	0.0500227
Gujral	0.0498512
minister-elect	0.0497113
"commanding officer"	0.0495321
AXA	0.049432
emir	0.0493367
"European nation"	0.0490476
"debt problem"	0.0489047
nobleman	0.0488484
"Ministry of Forestry"	0.0488465
"de Charette"	0.0486959
"Carlos Menem"	0.0486447
"royal family"	0.0486165
dignitary	0.0484282
multi-ethnic	0.0484255
"legislative assembly"	0.0483486
Postel	0.0482229
businesspeople	0.0481835
UUP	0.0481397
"civil rights leader"	0.0480954
Luong	0.0478771
"Tomiichi Murayama"	0.0478365
"United Nations Industrial Development Organization"	0.047562
Azad	0.0475438
"Romano Prodi"	0.0474661
"Maung Aye"	0.047461
Broek	0.0472893
"Supreme Council"	0.0472258
bodybuilder	0.0472198
"Federal Open Market Committee"	0.0472119
"Aslan Maskhadov"	0.047104
"Vo Van Kiet"	0.0470908
"Zhejiang University"	0.0470615
vice-mayor	0.0469784
"coal miner"	0.0469517
"financial organization"	0.0468218
Bhattarai	0.0467952
"Monetary Policy Committee"	0.0467622
Chuan	0.0467392
statesmen	0.0466231
McQueen	0.0465677
"lending institution"	0.0464823
"black person"	0.0464682
"Secretary General Boutros Boutros-Ghali"	0.0464095
"House Democrats"	0.0464016
"air force officer"	0.0463538
"Joint Commission"	0.0461482
"Javier Solana"	0.0460947
"Mao Tse-tung"	0.0460333
"Khaleda Zia"	0.045993
joining	0.0459704
"North Atlantic Council"	0.0459515
Plavsic	0.0459064
"minister of finance"	0.045876
"member nation"	0.0457837
"economic expert"	0.0456616
co-anchor	0.0456074
"Jean-Philippe Gatien"	0.0455394
Presidium	0.0454844
"defense policy"	0.045383
laureate	0.0451859
"Independent National Electoral Commission"	0.0450704
"Asia-Europe Meeting"	0.0449406
"Australian Olympic Committee"	0.0449352
Simitis	0.0448928
"Contact Group"	0.0448321
Karimov	0.0448301
vaulter	0.0447091
"Jordanian King Hussein"	0.0447029
"high command"	0.0446268
"King Abdullah"	0.044574
"Xiong Guangkai"	0.0445213
"crown prince"	0.0443829
"little leaguer"	0.0443825
"drug czar"	0.0443546
"Marie-Jose Perec"	0.0443416
PCC	0.0442846
"postmaster general"	0.0441383
chairmen	0.0441366
belligerents	0.044118
Amir	0.0440532
"Palestine National Council"	0.0440445
))
("chief operating officer" (desc 27790.7) (sims
"chief executive officer"	0.212908
"chief financial officer"	0.193438
"chief executive"	0.193407
CEO	0.175862
"senior vice president"	0.172909
"executive vice president"	0.171519
"general counsel"	0.132023
"managing director"	0.128185
"chairman of the board"	0.118415
"vice chairman"	0.116771
chairman	0.113014
"general manager"	0.108749
"vice president"	0.104612
"top executive"	0.103928
executive	0.0990176
CFO	0.0980227
superintendent	0.0934674
"executive director"	0.092401
cofounder	0.0917709
treasurer	0.0906061
"board member"	0.088888
director	0.0887085
"board of directors"	0.0874832
editor-in-chief	0.0849047
"managing editor"	0.084575
"music director"	0.0837632
founder	0.0832972
"senior executive"	0.0827717
manager	0.0825771
chief	0.0808048
chairwoman	0.0772833
"deputy director"	0.0762444
coordinator	0.0760457
trustee	0.0736369
"chief administrative officer"	0.0735352
director-general	0.0726417
co-chairman	0.0714444
commissioner	0.0709709
"commander in chief"	0.0700823
officer	0.0685826
dean	0.0679083
"financial officer"	0.0673212
"chief of staff"	0.0670658
administrator	0.0668544
"deputy chairman"	0.0668408
editor	0.0665928
"finance minister"	0.065213
Archbishop	0.0651255
"medical officer"	0.064467
secretary	0.0643773
subsidiary	0.0627682
co	0.0627436
"general secretary"	0.0626971
"information officer"	0.0622264
Counsel	0.0622023
shareholder	0.062069
"sales manager"	0.0619879
"chief justice"	0.0619113
"executive secretary"	0.0613563
division	0.0603556
Secretary-General	0.0603491
publisher	0.0601597
auditor	0.0601425
supervisor	0.0594013
bookkeeper	0.0591273
chairmen	0.0590099
chaplain	0.0584424
CEC	0.0578494
copywriter	0.0578043
"inspector general"	0.0574871
part-owner	0.0568902
Provost	0.0564532
"press secretary"	0.0561845
"chief scientist"	0.0557795
"basketball coach"	0.0557013
curator	0.0549151
Premier	0.0547327
co-owner	0.0546257
co-chairmen	0.0542497
Chancellor	0.0542319
"lieutenant general"	0.0540463
Joklik	0.0531098
"solicitor general"	0.0528872
"pitching coach"	0.0526379
Attorney	0.0525867
"football coach"	0.052053
"deputy general manager"	0.051959
commander	0.0517315
"cabinet minister"	0.051714
"lieutenant governor"	0.0513898
assistant	0.0511835
adviser	0.0511779
consultant	0.0507089
second-in-command	0.0502549
"investment banker"	0.0501675
chairperson	0.0501052
"lieutenant colonel"	0.0497637
"executive officer"	0.049279
"secretary of state"	0.049037
principal	0.0489245
Ombudsman	0.048584
pastor	0.0485331
advisor	0.0484904
co-president	0.0484626
stockholder	0.0484545
"director of research"	0.0481009
mediator	0.0474991
Stepashin	0.0472756
headquarter	0.0468316
Ambassador	0.0468152
bishop	0.0468135
"surgeon general"	0.0467525
Lieutenant	0.0467433
deputy	0.0467229
"project manager"	0.0466284
undersecretary	0.0464514
captain	0.0463924
"fire chief"	0.0463599
"investment officer"	0.0461821
organist	0.0458017
Colonel	0.0456514
"foreign minister"	0.0455449
"Mesut Yilmaz"	0.0454202
Koirala	0.0449631
"art director"	0.0443753
acquisition	0.044217
spokeswoman	0.0441723
czar	0.044127
receptionist	0.0440286
GM	0.0437164
vice-president	0.0435761
"management consultant"	0.0434584
"head of state"	0.0433839
spokesperson	0.0433504
accountant	0.0433408
strategist	0.0432134
"police chief"	0.0431825
foreman	0.0428509
"cabinet member"	0.0428047
"crown prince"	0.0426642
Bos	0.0426371
facilitator	0.0424411
co-director	0.042152
Sheriff	0.0421047
Comptroller	0.04186
Ivester	0.0415209
"special agent"	0.0414408
correspondent	0.0413761
instructor	0.0413243
"right-hand man"	0.0412458
technician	0.0411662
successor	0.041151
"vice chancellor"	0.0410839
vice-chairman	0.0409782
Programmer	0.0405995
economist	0.0404652
"deputy foreign minister"	0.0402085
custodian	0.0401601
"Prime Minister"	0.0401405
scout	0.0400699
))
("chief scientist" (desc 5713.66) (sims
co-director	0.0822765
co-editor	0.0788649
co-leader	0.0723583
Solaris	0.0715192
"chairman emeritus"	0.0669843
"project manager"	0.0633269
"information officer"	0.0632244
"Garth Drabinsky"	0.0589516
"political commissar"	0.0560165
"chief operating officer"	0.0557795
"commanding officer"	0.0514211
"senior executive"	0.0508557
"general counsel"	0.0501032
cofounder	0.0499386
"medical officer"	0.0499193
toxicologist	0.0494803
editor-in-chief	0.0487375
"director of research"	0.0467725
"research director"	0.0460101
physicist	0.0450392
co-president	0.0433157
"Frederick Sumaye"	0.0432811
coauthor	0.0431871
"visiting professor"	0.0429599
"financial officer"	0.0428446
"executive officer"	0.0427142
"executive vice president"	0.0417362
"sales manager"	0.0415094
co-producer	0.0406697
"Marc Andreessen"	0.0405576
climatologist	0.0404968
Vioxx	0.0404386
"Information Center"	0.0402721
"Mission Control"	0.0401099
"chairman of the board"	0.0401034
))
("Chief Secretary" (desc 1674.04) (sims
"Tung Chee Hwa"	0.122839
"postmaster general"	0.120946
"Prime Minister Banharn Silpa-Archa"	0.100116
"vice chancellor"	0.0873232
"Prime Minister Kamal El-Ganzouri"	0.0870779
"Census and Statistics Department"	0.0860372
"Anson Chan"	0.0850908
"Sher Bahadur Deuba"	0.0850135
Tung	0.0815446
"Chea Sim"	0.0810427
Rodionov	0.0804067
"Chris Patten"	0.0764534
"Vaclav Klaus"	0.0732198
"George Gekas"	0.0731209
"Girija Prasad Koirala"	0.0730754
"Tung Chee-Hwa"	0.0714755
"Momir Bulatovic"	0.0712658
"Court of Final Appeal"	0.0710506
"Minister Shlomo Ben-Ami"	0.0699995
"H.D Deve Gowda"	0.0699396
"Costas Simitis"	0.0696431
"Wlodzimierz Cimoszewicz"	0.0688974
"King Abdullah Bin Hussein"	0.0670032
"Chavalit Yongchaiyudh"	0.0662465
undersecretary	0.0662246
"Christopher Cox"	0.0646751
Moratinos	0.0639348
Lipponen	0.063872
el-Ganzouri	0.0635748
"Dick Pound"	0.0627506
"Special Adviser"	0.0623088
al-Sahaf	0.0618291
al-Bashir	0.0607959
Kasoulides	0.0606489
Tsang	0.0603104
Masire	0.0585707
undersecretary-general	0.0582744
Deuba	0.0581964
"Secretary of Defense"	0.0578714
"Phan Van Khai"	0.0576445
Stoyanov	0.0567558
"Meles Zenawi"	0.0567375
Yastrzhembsky	0.0565994
"Chuan Leekpai"	0.0562433
"Inder Kumar Gujral"	0.0559876
"Saeb Erekat"	0.055876
Pei	0.0555469
"Archbishop Desmond Tutu"	0.0554324
Velayati	0.055356
Under-Secretary-General	0.0552295
"Atal Bihari Vajpayee"	0.0551388
"South China Morning Post"	0.0549972
"Trade and Industry"	0.0547584
"Salim Hoss"	0.0545168
"Dan Burton"	0.0545099
Sumaye	0.0543915
"Ricardo Alarcon"	0.0538311
"de Charette"	0.053732
"Necmettin Erbakan"	0.0534391
"George Mitchell"	0.0534097
Misuari	0.0533657
"Begum Khaleda Zia"	0.0531048
Jayakumar	0.0530683
Soares	0.0529176
Al-Sabah	0.052789
"Boutros Boutros Ghali"	0.0525133
Simitis	0.0524703
"Mikhail Kasyanov"	0.0524272
Meguid	0.0524144
"Selection Committee"	0.0523139
"Kim Jong-pil"	0.052129
Iliescu	0.0520755
"Christopher Smith"	0.0519182
al-Sahhaf	0.0514495
"Provisional Legislative Council"	0.0514316
Klestil	0.0513622
"Krishna Prasad Bhattarai"	0.051199
"Benazir Bhutto"	0.0508237
"Alain Juppe"	0.0505315
"Yuri Maslyukov"	0.0504035
"Amien Rais"	0.0503529
"Frederick Sumaye"	0.0501936
Holl	0.0500493
Kyprianou	0.0500175
Wilhelm	0.0498838
Severino	0.0498357
"Megawati Soekarnoputri"	0.0490548
"Milos Zeman"	0.0490517
"Khin Nyunt"	0.048863
"Abdul Karim Kabariti"	0.0486633
"Huang Ju"	0.0486585
Shamshad	0.0485453
Venables	0.0483757
felicitation	0.0483273
Rossotti	0.0482852
al-Shara	0.0481078
"Atef Obeid"	0.0478597
"Dai Bingguo"	0.0477338
"Deve Gowda"	0.0476374
"Kim Yong Nam"	0.0475207
"Stanley Fischer"	0.0471444
"Immigration Department"	0.047125
"Sheikh Hasina"	0.0470602
Yilmaz	0.0470448
"Mesut Yilmaz"	0.0469757
Sakigake	0.0467774
"Ministry of Information"	0.0466412
Chand	0.0465564
"Lee Hsien Loong"	0.0461828
director-general	0.046165
Tarawneh	0.0460268
"Norodom Ranariddh"	0.0460001
"King Hassan II"	0.0457034
"executive secretary"	0.0456091
"Fred Thompson"	0.0455296
"Lakhdar Brahimi"	0.0452618
Sha	0.0451367
Bouteflika	0.0449977
"Home Affairs"	0.0449806
Immunex	0.0449433
Boueiz	0.0448906
Hoss	0.0445519
"Arlen Specter"	0.0443969
Naumann	0.0442888
"Lokendra Bahadur Chand"	0.044066
Gujral	0.0439517
Niyazov	0.0439376
Pangalos	0.0437878
Napolitano	0.0435572
Ghalib	0.0434674
Ikimi	0.0434463
Koirala	0.0432168
LeBlanc	0.0432058
Tian	0.0431989
"President Kim Dae-jung"	0.0431573
"King Fahd"	0.0430649
"Charles Grassley"	0.0429296
"Li Peng"	0.0428975
"Secretary of Commerce"	0.0428922
"first @@@ days"	0.0428493
reestablishment	0.0427949
"Sino-British Joint Declaration"	0.0427291
Reinhardt	0.0426091
Soriano	0.0425035
Sahnoun	0.0423393
Arens	0.0422656
Baz	0.0422192
Ashrawi	0.0421765
Brittan	0.0421393
"solicitor general"	0.0421348
"Li Ruihuan"	0.0421206
"Chief Executive Tung Chee-hwa"	0.0420547
"Oded Eran"	0.0419394
"Rafik Hariri"	0.0417658
Juncker	0.0416738
"Long Yongtu"	0.0415959
Nasrallah	0.0415305
"Bill Lann Lee"	0.0415281
Aguirre	0.041378
Pustovoitenko	0.0413551
"Jenny Shipley"	0.0413548
"blank check"	0.0413473
Vice-Premier	0.0412894
"Lee Kuan Yew"	0.041265
"deputy foreign minister"	0.0409379
Garang	0.0409318
"Igor Sergeyev"	0.0408022
"Independent National Electoral Commission"	0.0407949
Santer	0.0407907
"Helen Clark"	0.0407856
"personal letter"	0.0407843
"Secretary General Esmat Abdel-Meguid"	0.0406819
Husseini	0.040671
Ben-Ami	0.0405483
Aventajado	0.0404781
Ciampi	0.0404666
Meles	0.0404375
"Michael Heseltine"	0.0403378
"Sergei Kiriyenko"	0.0402418
"Yoshiro Mori"	0.0402125
"Bulent Ecevit"	0.0401558
"Zhou Nan"	0.0401246
"Antonio Guterres"	0.0401198
McGuinness	0.0400702
))
(chieftain (desc 7386.67) (sims
"Abdullah Ocalan"	0.0676768
kingpin	0.0670396
Imam	0.0624678
warlord	0.0618752
"army officer"	0.0613559
elder	0.0605631
"Ta Mok"	0.0587282
"Kurdish Workers Party"	0.0575077
ideologue	0.056824
boss	0.0558496
ringleader	0.0535701
"Nuon Chea"	0.0532737
"military officer"	0.0518465
functionary	0.0512785
"newspaper editor"	0.0511205
stalwart	0.051077
guerilla	0.0506774
baron	0.0505501
"Koichi Kato"	0.0503457
"John J. Gotti"	0.0499484
Xanana	0.0495309
defector	0.0491929
HITMAN	0.0490738
"religious leader"	0.0484592
brother-in-law	0.0478137
statesmen	0.0476239
"government officials"	0.0473362
"Yukio Hatoyama"	0.0468454
operative	0.0462932
"Ariel Sharon"	0.0462217
"Khmer Rouge"	0.0459642
Sheik	0.0458449
"drug lord"	0.0455827
"Lino Oviedo"	0.0455125
turncoat	0.0454315
bigwig	0.0452558
percussionist	0.0446109
"Pol Pot"	0.0444292
priest	0.0443517
"Shamil Basayev"	0.044269
Commissar	0.0441896
cleric	0.0441491
patriarch	0.0440802
execs	0.0439701
"rank and file"	0.0438945
matriarch	0.0438879
trafficker	0.0437121
"business executive"	0.043026
Deacon	0.0429937
decision-makers	0.0428138
"air force officer"	0.042707
"tribal chief"	0.0426682
bagpiper	0.0425011
sympathizer	0.042382
"big leaguer"	0.0423791
TORTURER	0.0423204
clergymen	0.0420008
Postmaster	0.0416509
"police sergeant"	0.040922
standard-bearer	0.0405833
parliamentarian	0.0403773
))
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tulle	0.221596
satin	0.214719
taffeta	0.183854
velvet	0.182896
blouse	0.176115
bodice	0.16628
organza	0.156266
brocade	0.154351
"evening gown"	0.153791
lace	0.151957
"cocktail dress"	0.148989
silk	0.143687
camisole	0.141618
"evening dress"	0.13697
tunic	0.134375
caftan	0.132417
"pants suit"	0.13074
skirt	0.129881
suede	0.129531
miniskirts	0.126588
corduroy	0.123457
sheath	0.12122
halter	0.120235
gown	0.118527
gauze	0.116979
pantsuit	0.116889
embroidery	0.114641
sweater	0.1131
pullover	0.109958
jumpsuit	0.108537
bustier	0.105461
petticoat	0.102447
fabric	0.102282
linen	0.0990805
kimono	0.0990205
scarf	0.0989774
cashmere	0.0976666
sequin	0.0973715
leather	0.0939592
nylon	0.0935055
tweed	0.0931476
leotards	0.092204
frock	0.0922014
bikini	0.0921221
trouser	0.0912879
robe	0.0908073
shorts	0.0907463
pant	0.0900627
Sari	0.0891163
drapery	0.0887903
shirt	0.0885281
"hot pants"	0.0884425
miniskirt	0.088362
"ball gown"	0.088167
chintz	0.0865835
tights	0.0864657
jacket	0.0860209
Sash	0.0856199
pastel	0.0848055
mohair	0.0838133
legging	0.0833376
plaid	0.0822967
shawl	0.08209
neckline	0.0820246
silks	0.0819862
sarong	0.0819414
nightgown	0.0815804
vest	0.0809901
waistcoat	0.0801493
woolen	0.0798958
cardigan	0.0795271
"top hat"	0.0794708
applique	0.0791973
trousers	0.0789118
feather	0.0787405
crepe	0.0786609
rhinestone	0.0783459
ribbon	0.0778241
"evening bag"	0.077313
Pink	0.077271
ruffle	0.0768757
denim	0.0767966
Pantsuits	0.0765616
headband	0.0764618
bandanna	0.0756983
"nail polish"	0.0756936
purple	0.0744907
synthetic	0.0742511
pajamas	0.0741331
apron	0.0739471
bandana	0.073239
sock	0.0730176
"sports jacket"	0.0723518
sweatshirt	0.0716237
"bathing suit"	0.0715629
coat	0.0711455
lipstick	0.0708209
T-shirt	0.0705357
beige	0.0703087
jersey	0.0702116
slacks	0.069245
smock	0.0686386
anorak	0.0685182
feathers	0.0680406
"leather jacket"	0.0676845
Bonnet	0.0673935
bellbottoms	0.06721
corset	0.067179
cotton	0.0669345
"cowboy hat"	0.0663221
pants	0.0662491
curtain	0.0662325
coverall	0.0661013
turtleneck	0.066034
wool	0.0657598
"feather boa"	0.0655373
wig	0.0648453
slack	0.0646682
pajama	0.0645217
necktie	0.0641706
parka	0.0637755
kilt	0.0635398
bedspread	0.0635024
fur	0.0634095
capris	0.0633769
bra	0.0633051
pantyhose	0.0629902
streamer	0.0624504
beading	0.0623504
tiara	0.0622904
bathrobe	0.062081
stocking	0.0620543
wristband	0.0620104
choker	0.0608147
eyeshadow	0.0605673
raincoat	0.0598125
comforter	0.0596555
veil	0.0596046
"bow tie"	0.0593166
plumage	0.0586801
"sweat pants"	0.0584875
Poncho	0.05843
undershirt	0.0583441
jean	0.0580411
Tutu	0.0580262
chaise	0.0580207
hem	0.0577854
stripe	0.0576287
flannel	0.057626
"felt hat"	0.057425
"life vest"	0.0573496
stripes	0.0571081
bodysuit	0.0569017
turban	0.0568396
"sport shirt"	0.0568252
wallpaper	0.0565743
khaki	0.0561005
lampshade	0.0558819
"polka dot"	0.0557321
"polo shirt"	0.0552287
fleece	0.055188
overcoat	0.055173
"straw hat"	0.0551379
"mink coat"	0.0550776
vinyl	0.0550486
pillowcase	0.0548604
tassel	0.0548299
garb	0.0546049
sleeve	0.0545244
loafer	0.0542541
cleat	0.0535921
eyeliner	0.0534942
sneaker	0.053442
bead	0.0533011
moccasin	0.0530658
cloak	0.052922
meringue	0.0528796
armband	0.0528192
fedora	0.0524552
beret	0.052362
mascara	0.0522295
mousse	0.0519697
suspender	0.0518785
slipper	0.0518242
windbreaker	0.0516357
piping	0.0514297
yarmulke	0.05141
tuxedo	0.0513126
braid	0.0511949
lingerie	0.0511751
netting	0.0503763
earring	0.0503756
underwear	0.0499579
collar	0.0499146
spandex	0.049823
"prayer shawl"	0.0495637
vestment	0.0494542
filament	0.0491692
Cape	0.0487787
"wedding dress"	0.0485468
))
(chihuahua (desc 7785.76) (sims
Jalisco	0.186947
Michoacan	0.186048
Sinaloa	0.179118
Tamaulipas	0.160156
Zacatecas	0.153512
Oaxaca	0.146938
Sonora	0.141714
Durango	0.139539
Guanajuato	0.138985
Veracruz	0.135657
"Lower Saxony"	0.12365
Puebla	0.120591
Hesse	0.106876
"Baja California"	0.0990358
"Quintana Roo"	0.0974959
Tabasco	0.0901471
Chiapas	0.0890609
Guerrero	0.0850524
Guadalajara	0.0790605
"Ciudad Juarez"	0.0768528
Matamoros	0.074844
"Uttar Pradesh"	0.0746057
"Minas Gerais"	0.0739734
Antioquia	0.0739462
Merida	0.0733422
Morelos	0.0724424
Saxony	0.0718754
Queensland	0.0672574
Karnataka	0.0624184
hedgehog	0.0597608
Punjab	0.0592318
Bavaria	0.0590141
Juarez	0.0582372
Tijuana	0.0576558
Bahia	0.0570388
Brandenburg	0.0568407
Krasnoyarsk	0.0559104
Pueblo	0.0555533
Assam	0.0554576
Tigray	0.0549171
Ensenada	0.0543967
"German shepherd"	0.0536362
Monterrey	0.0536113
Herat	0.0523164
Nogales	0.0518811
"Granite State"	0.0518161
Maharashtra	0.0516254
"New South Wales"	0.0513435
Kano	0.0513127
Bolivar	0.0507597
dachshund	0.0506253
Gujarat	0.0502625
"New Mexico"	0.0502135
Casper	0.0500334
Delaware	0.0498795
Bihar	0.0498067
"GI Joe"	0.0497335
Toluca	0.0494593
Morristown	0.049414
"Mount Lebanon"	0.0493285
Dearborn	0.0492872
Putumayo	0.0492622
Kerala	0.0490403
hermosillo	0.048961
Illinois	0.0485122
"St. Petersburg"	0.0481505
Orissa	0.0478706
Toulon	0.0477877
Lucknow	0.0474423
Mississippi	0.0474389
Osaka	0.0471871
Rostock	0.047181
"West Bengal"	0.0471208
KwaZulu/Natal	0.0466268
Louisiana	0.0465076
Lubbock	0.0464707
"Himachal Pradesh"	0.0462966
Guadalupe	0.0460977
"Bengal tiger"	0.0460655
Sindh	0.0456877
"Sao Paulo"	0.0456438
Alabama	0.0451784
"Joe Camel"	0.0450352
Kedah	0.0450116
terrier	0.0450087
"Willie Horton"	0.0446322
Rajasthan	0.0445857
Waterbury	0.0444734
"Andhra Pradesh"	0.0439767
LAKEWOOD	0.0436161
Salisbury	0.0435091
Bengal	0.0433546
CANCUN	0.0432605
frog	0.0429226
Emeryville	0.0426913
Harrisburg	0.042638
"federal district"	0.0426097
Hanover	0.0422194
Barney	0.0418996
"pork loin"	0.041878
Hidalgo	0.0418001
Sarawak	0.0417514
Rottweiler	0.0415859
Pennsylvania	0.0407549
"Montgomery County"	0.0407463
Nago	0.0405866
Labrador	0.040579
taco	0.0405394
"Beanie Baby"	0.0403424
"Round Rock"	0.0402819
kitten	0.0402731
Vavuniya	0.0401768
"Bergen County"	0.0401662
))
(Chilavert (desc 2038.85) (sims
"Tom Presthus"	0.152931
Taffarel	0.139613
"Kevin Hartman"	0.137984
Schmeichel	0.129779
Sautin	0.111044
Tapia	0.10567
Laudrup	0.104826
Baggio	0.104373
Hagi	0.103103
"David Seaman"	0.102821
"Sinisa Mihajlovic"	0.0983689
"Angelo Peruzzi"	0.0978596
"Briana Scurry"	0.0964847
Klinsmann	0.0961248
"Fabien Barthez"	0.0947001
"Arturs Irbe"	0.094445
"Brad Friedel"	0.0932141
Tverdovsky	0.0921866
"Tony Meola"	0.0904652
Taufik	0.089881
"Zach Thornton"	0.0897624
Batistuta	0.0891302
"Drazen Ladic"	0.0875581
Bierhoff	0.0875551
Tocchet	0.0867869
"Peter Schmeichel"	0.086775
Salas	0.0863638
Golota	0.0846468
Hamm	0.0836498
"Jorge Campos"	0.0836297
Ricci	0.0834902
"Del Piero"	0.0832135
Berasategui	0.0830741
Asprilla	0.0828121
"Jose Luis Chilavert"	0.0825226
"Gianluca Pagliuca"	0.0817177
Vieri	0.081516
Capriati	0.0814698
Arazi	0.0805938
Lapentti	0.0805727
"Davor Suker"	0.0796883
Carbonneau	0.0796482
Leetch	0.0790777
Batouty	0.078839
Gorter	0.0782997
Bebeto	0.0780116
D'Alessandro	0.0777516
Akers	0.0765954
Etcheverry	0.0762172
Solis	0.0757127
"Kasey Keller"	0.0754632
Tanui	0.0754328
Talebi	0.0753693
Irvan	0.0752699
Woodforde	0.0752327
Yzerman	0.0749473
Chastain	0.0747947
"Mark Bosnich"	0.0747751
Khabibulin	0.0746497
Nakata	0.0744235
Tua	0.0742779
Medvedev	0.074021
Fuhr	0.0740041
"Jocelyn Thibault"	0.073975
Kenseth	0.0739155
"Van Roost"	0.0738766
hermosillo	0.0736831
Suker	0.0734387
McGrady	0.0733225
Hejduk	0.0729832
Liston	0.072859
"Olaf Kolzig"	0.0726414
Zanardi	0.0724192
"Mikhail Shtalenkov"	0.0722449
Spirlea	0.0721494
Gagne	0.072149
"Fred Brathwaite"	0.0719892
Beckham	0.0717492
Shields	0.0715586
Andreychuk	0.0714602
Najera	0.0714072
Sissi	0.0713737
"Tom Barrasso"	0.0711484
Heinze	0.0711036
Kovalev	0.0710295
Wohlers	0.0709837
Edberg	0.0709493
Worrell	0.0703564
Kasparov	0.070216
Pioline	0.0701953
Safin	0.0701613
Pantani	0.0697887
Madsen	0.0694743
Baba	0.0694706
Geiger	0.0693675
Knievel	0.0692604
Duchesne	0.0691766
Gambill	0.0689809
Roba	0.0688017
Stoltenberg	0.0688014
Atherton	0.0687646
Fedorov	0.0686806
Gillom	0.0686769
Andretti	0.0686168
Tarawneh	0.0685628
Sakic	0.0684514
"Sean Burke"	0.0681398
Butyrskaya	0.0680413
Khannouchi	0.0678501
"Joe-Max Moore"	0.0678275
Donato	0.0677635
"Steve Shields"	0.0675739
Autissier	0.0674791
Johansson	0.0674518
Savarese	0.0674199
Warshaw	0.0674031
Fiset	0.0666743
Hartsburg	0.066434
Barad	0.0662446
Grahame	0.0662345
"Brett Hull"	0.0659982
"Dixon Ward"	0.0659473
"Gabriel Batistuta"	0.0658435
Kournikova	0.0656278
Ottey	0.0655452
Gimelstob	0.0654939
Samsonov	0.0652985
Fleury	0.0652167
Biffle	0.0651527
Audette	0.0651129
Eizenstat	0.065097
Corretja	0.0649854
Gustafsson	0.0649415
Passarella	0.0648698
Kariya	0.0648602
Klim	0.0648496
Mantilla	0.0647364
Kajiyama	0.0646288
"David Beckham"	0.064568
Appleby	0.0645494
Susanti	0.0639283
"Guy Hebert"	0.063845
Henman	0.0633231
Woolley	0.0633004
Chevenement	0.0632733
Spielman	0.0630844
Cabrera	0.0630815
Muralitharan	0.0629609
Polgar	0.0628368
Romanowski	0.0628029
McKay	0.0627564
Mayweather	0.0627527
Moog	0.0626335
Montalvo	0.0625324
Beltre	0.0623746
Slade	0.0623629
Raznatovic	0.0621517
Chelios	0.0621321
Ripken	0.061847
Pele	0.0618313
Spadea	0.0618062
Muoneke	0.0617791
Yashin	0.0617656
Savon	0.06169
LaPointe	0.0616264
Nieuwendyk	0.0615886
"Mia Hamm"	0.0613973
Sabonis	0.0613836
Reichel	0.0613752
RedHawks	0.0613677
"Brandi Chastain"	0.0613621
Kolzig	0.0610726
bearcat	0.0610713
"Fighting Irish"	0.0609841
Majoli	0.0609622
"Roman Turek"	0.0606545
Fyodorov	0.0606394
Scelzi	0.0605948
Robitaille	0.0605788
Haas	0.0603547
Romario	0.0602639
Bisek	0.0602167
Bergkamp	0.0601149
Hebert	0.0600805
Chmura	0.0600169
Phills	0.0600162
K-State	0.0599305
Dunston	0.05989
Kerrey	0.0598893
Campos	0.0598824
sexton	0.0598593
Keady	0.0597512
Kluivert	0.0597405
Belfour	0.0596977
Lassiter	0.0596814
Jansher	0.0595118
Lemieux	0.0594258
Foyt	0.0593751
"three pitchers"	0.0593532
Kukoc	0.0591493
))
(child (desc 423211) (sims
kid	0.253927
people	0.242284
woman	0.227881
student	0.221143
boy	0.221085
girl	0.213682
patient	0.204563
daughter	0.203839
adult	0.200886
baby	0.198562
son	0.193859
family	0.19351
infant	0.182628
youngster	0.180445
man	0.172549
parent	0.172044
mother	0.170143
teen-ager	0.162091
worker	0.159843
person	0.157629
those	0.154881
youth	0.154106
resident	0.150786
American	0.15078
victim	0.140222
citizen	0.140183
teenager	0.136097
individual	0.133603
teacher	0.133065
wife	0.131595
refugee	0.130377
animal	0.12947
immigrant	0.129295
population	0.128502
pupil	0.128023
friend	0.127519
employee	0.12741
"family member"	0.127398
inmate	0.127062
relative	0.126182
brother	0.125406
teens	0.125054
toddler	0.124608
others	0.124434
father	0.122835
husband	0.122726
elderly	0.122563
member	0.121696
passenger	0.121307
consumer	0.121239
someone	0.120939
sister	0.120581
schoolchildren	0.12034
her	0.120035
them	0.11943
athlete	0.1192
farmer	0.118816
"young man"	0.118555
prisoner	0.118115
customer	0.117461
grandchildren	0.116829
dog	0.116055
"young woman"	0.115961
player	0.115872
soldier	0.115641
orphan	0.115546
tourist	0.115427
civilian	0.115365
"college student"	0.114821
anyone	0.113976
everyone	0.112863
household	0.112609
male	0.111672
user	0.111569
life	0.110671
"senior citizen"	0.110477
fan	0.110221
doctor	0.11001
visitor	0.10955
community	0.108898
him	0.108227
group	0.108035
black	0.108027
voter	0.10802
spouse	0.107262
poor	0.106657
many	0.106325
you	0.106016
adolescent	0.105777
me	0.105579
couple	0.105059
minority	0.105012
viewer	0.104784
Elian	0.104162
newborns	0.104001
audience	0.102176
"little girl"	0.101963
guy	0.101697
pet	0.101397
foreigner	0.101235
human	0.101033
school	0.100748
driver	0.100323
senior	0.0999385
smoker	0.0996973
public	0.0990314
Jew	0.0987478
country	0.0986983
Reader	0.0986766
nation	0.0982638
company	0.0977734
sibling	0.0976849
generation	0.0975565
some	0.0971704
female	0.0965893
survivor	0.0961165
villager	0.0958635
client	0.0952934
"little boy"	0.0950406
journalist	0.0946647
us	0.0945396
neighbor	0.0940551
mom	0.0938166
living	0.093489
thousand	0.0933243
veteran	0.0931623
"young girl"	0.092935
aged	0.0929288
African-American	0.0929219
officer	0.0929068
business	0.0924897
volunteer	0.0921607
artist	0.0917225
traveler	0.0910543
investor	0.0909051
everybody	0.0906345
folk	0.0898666
one	0.0898471
criminal	0.0894221
Chinese	0.0893294
all	0.0891624
minor	0.0890544
young	0.0887784
fetus	0.088494
education	0.0883255
she	0.0882959
homeless	0.0882633
applicant	0.0881535
CAT	0.0878976
Albanian	0.0878872
Hispanic	0.0874807
recipient	0.0873252
professional	0.087211
team	0.087029
retiree	0.0868065
"human being"	0.0867247
bird	0.0866484
guest	0.0865815
job	0.0864133
taxpayer	0.0862018
grandmother	0.0861979
home	0.0861656
participant	0.0857958
"loved one"	0.0857921
body	0.0856706
politician	0.0856652
program	0.0856263
million	0.085415
offspring	0.0853722
President	0.0852935
state	0.0851674
character	0.0850084
cousin	0.0847876
number	0.0846166
industry	0.0843935
hundred	0.0841962
grandparent	0.0837746
official	0.0836885
most	0.0836195
Computer	0.0835184
"police officer"	0.0832238
health	0.0826565
employer	0.0824704
Serbs	0.0822895
case	0.0822002
pilot	0.0821924
ones	0.0819812
who	0.0819617
themselves	0.0819483
offender	0.0815567
government	0.0814998
leader	0.081482
society	0.0814504
juvenile	0.0813232
laborer	0.081239
"black man"	0.0810813
candidate	0.0810515
businessmen	0.0810418
car	0.080869
economy	0.0806798
))
("child abuse" (desc 12197.6) (sims
"sexual assault"	0.226805
rape	0.207929
sodomy	0.203115
arson	0.201099
molestation	0.190812
manslaughter	0.18665
theft	0.186141
"drug abuse"	0.18565
"armed robbery"	0.182957
"drug trafficking"	0.181914
burglary	0.17913
"securities fraud"	0.178229
prostitution	0.176803
"tax evasion"	0.176331
homicide	0.173024
endangerment	0.172996
abuse	0.17268
kidnapping	0.172384
bribery	0.170194
incest	0.169558
extortion	0.16898
robbery	0.166314
"money laundering"	0.165615
"sexual harassment"	0.164861
embezzlement	0.1607
"insider trading"	0.160336
torture	0.1598
forgery	0.158617
vandalism	0.154189
trafficking	0.153009
fraud	0.152869
larceny	0.152193
racketeering	0.15166
tampering	0.146289
"juvenile delinquency"	0.145586
brutality	0.144894
"grand larceny"	0.144262
harassment	0.144007
crime	0.140845
smuggling	0.140462
misconduct	0.139592
adultery	0.139536
espionage	0.139183
piracy	0.137434
infanticide	0.136932
graft	0.136909
neglect	0.136783
terrorism	0.136606
felony	0.136505
"drug use"	0.136469
corruption	0.13525
"drug addiction"	0.134785
sedition	0.134691
"foul play"	0.131681
murder	0.130364
shoplifting	0.129722
stalking	0.128609
"mail fraud"	0.127208
treason	0.12669
violence	0.125185
maltreatment	0.124861
negligence	0.12476
malpractice	0.124627
abduction	0.124376
assault	0.12202
suicide	0.121799
gunrunning	0.121747
cruelty	0.1215
"organized crime"	0.120624
hijacking	0.120475
"false imprisonment"	0.120245
discrimination	0.119515
conspiracy	0.117764
"substance abuse"	0.117686
"war crime"	0.117041
homelessness	0.116591
"disorderly conduct"	0.116226
pedophilia	0.115088
blackmail	0.112923
"election fraud"	0.112728
libel	0.11221
genocide	0.112136
perjury	0.11171
subversion	0.111215
looting	0.110372
poisoning	0.110285
mutilation	0.109422
Alcoholism	0.108747
sabotage	0.108698
racism	0.108577
"assault and battery"	0.108566
violation	0.108458
bribe-taking	0.108035
incitement	0.108027
complicity	0.10792
intimidation	0.106908
cannibalism	0.10664
"alcohol abuse"	0.106319
malfeasance	0.106095
indecency	0.105915
Truancy	0.104814
pornography	0.104789
spying	0.104764
"mass murder"	0.103145
HIV/AIDS	0.103081
price-fixing	0.103019
mistreatment	0.10299
obstruction	0.10291
"breach of trust"	0.102838
banditry	0.102709
hooliganism	0.10209
poaching	0.101865
"contempt of court"	0.100382
"sexually transmitted disease"	0.0998415
driving	0.0985334
wrongdoing	0.0981054
defamation	0.0974067
mismanagement	0.0959858
"dog bite"	0.0958722
"mental illness"	0.0956008
gambling	0.0948959
injustice	0.0945485
"lead poisoning"	0.0944284
SIDS	0.0942313
irregularity	0.0940317
persecution	0.0939655
misuse	0.0935627
STDs	0.0934409
exploitation	0.0931376
"sexual activity"	0.0926834
extremism	0.0926066
Addiction	0.0926027
infidelity	0.0925846
abandonment	0.0924245
lawlessness	0.0921614
nepotism	0.0907545
plagiarism	0.0904999
mischief	0.0902118
cover-up	0.0899353
delinquency	0.0888295
atrocity	0.088749
blasphemy	0.0886541
criminality	0.0885272
killing	0.0860864
joblessness	0.0860532
malnutrition	0.08545
mugging	0.0853821
coercion	0.0851837
beating	0.0850265
anti-Semitism	0.0850077
"infectious disease"	0.0842775
"high treason"	0.0839328
malaria	0.0837248
euthanasia	0.0835528
possession	0.0832457
ill-treatment	0.0828718
dumping	0.0827804
"lying under oath"	0.0823401
vote-buying	0.0823184
"food poisoning"	0.0818814
immigration	0.0816063
infringement	0.0813765
poverty	0.0811929
intolerance	0.0810982
"water pollution"	0.0809936
stabbings	0.0806164
disloyalty	0.0805603
trespass	0.0805072
massacre	0.080175
"murder charge"	0.0799533
manipulation	0.0792488
oppression	0.0790881
"resisting arrest"	0.0790271
tuberculosis	0.0788771
leprosy	0.0786932
collusion	0.0781677
cronyism	0.0777333
Obesity	0.0776336
"heart disease"	0.0772837
miscarriage	0.0769541
"dengue fever"	0.0768627
"drug trade"	0.0765522
smoking	0.0765387
drinking	0.0762455
misappropriation	0.076118
hostage-taking	0.0755694
slaying	0.0754746
"mental health"	0.0753707
repression	0.0752584
offence	0.0750516
desertification	0.0749095
illness	0.0745397
degradation	0.0743911
pregnancy	0.0742056
slavery	0.0741694
illegality	0.0740058
bigotry	0.0737807
carjackings	0.0736433
victimization	0.0735037
dereliction	0.0733952
))
("child care" (desc 19803.6) (sims
"day care"	0.248786
childcare	0.212602
"health care"	0.19643
"medical care"	0.179723
Housing	0.173358
"health insurance"	0.167188
"social service"	0.16558
care	0.14851
"prescription drug"	0.147582
education	0.145133
daycare	0.144925
"health service"	0.139647
Tuition	0.139371
schooling	0.135585
"family planning"	0.132899
transportation	0.124073
counseling	0.123359
"special education"	0.122402
healthcare	0.122094
insurance	0.122051
"social welfare"	0.119527
Medicaid	0.118833
nutrition	0.117607
pension	0.117062
"mental health"	0.116291
"higher education"	0.11584
medical	0.115634
sanitation	0.110788
"nursing care"	0.108167
welfare	0.107271
health	0.105482
"mass transit"	0.105376
tutoring	0.104423
Contraception	0.103537
"social security"	0.102154
training	0.100665
"food stamp"	0.100259
medicare	0.0995905
"retirement benefit"	0.0990386
preschool	0.0984498
voucher	0.098119
maintenance	0.0973598
"health benefit"	0.0973284
infrastructure	0.0956436
"social insurance"	0.0947997
"minimum wage"	0.0946867
immunization	0.093834
parking	0.0936834
accommodation	0.0936514
"life insurance"	0.0932649
"vocational training"	0.0931725
employment	0.0918871
"gun control"	0.0901855
protection	0.0892635
"education program"	0.0888224
"tax credit"	0.0883566
subsidy	0.0868081
financing	0.0863438
lodging	0.0861355
access	0.0859961
literacy	0.085765
"training program"	0.0857498
rent	0.0854807
"public works"	0.0853281
conservation	0.0851338
wage	0.0846682
coverage	0.0845671
prevention	0.0841585
"water supply"	0.084113
"tax break"	0.0840419
"adult education"	0.0839044
repair	0.0836981
retraining	0.0834639
"public school"	0.0828839
"telephone service"	0.0828119
"tax cut"	0.0828069
"hospital care"	0.0828041
logistics	0.0826934
nursing	0.0822958
shelter	0.0821275
"R&AMP;D"	0.0819937
cleanup	0.0811588
"customer service"	0.0808538
"day care center"	0.080824
"drinking water"	0.0799615
"vocational education"	0.0796327
"savings account"	0.0795109
rehabilitation	0.0790026
"dental care"	0.0784957
telecommunication	0.0782008
assistance	0.0779843
funding	0.0779386
"legal representation"	0.0778711
relief	0.077608
treatment	0.077414
"job security"	0.0769554
"retirement plan"	0.0764441
"pay raise"	0.0764098
research	0.0761702
"disability insurance"	0.075285
agriculture	0.074897
hygiene	0.0746357
"phone service"	0.0744953
scholarship	0.0744761
food	0.0742699
"public service"	0.0736697
"private school"	0.0736668
environment	0.0735206
aid	0.0732832
"birth control"	0.0731854
compensation	0.0730961
expense	0.0730723
"quality of life"	0.072795
construction	0.0725542
"road construction"	0.0725195
tax	0.0723864
"disability benefit"	0.0723543
"head start"	0.0720667
"data processing"	0.0718785
safety	0.0717358
meal	0.0716131
facility	0.0715141
transport	0.071413
medicine	0.0712259
banking	0.07084
management	0.0703516
communication	0.0701996
testing	0.0699494
"law enforcement"	0.0696494
"paid vacation"	0.0696301
babysitting	0.0695809
governance	0.0694608
"secondary education"	0.0692252
kindergarten	0.069124
security	0.0689787
"population control"	0.0689538
allowance	0.068898
electricity	0.0684614
contraceptive	0.0683926
"child support"	0.0681425
"land reform"	0.0681157
outreach	0.0677367
"elementary education"	0.0675994
marketing	0.0674508
abortion	0.0673141
enforcement	0.067159
recruitment	0.0671049
"substance abuse"	0.066795
Entertainment	0.066639
procurement	0.0665892
storage	0.0665493
"financial aid"	0.0662424
credit	0.0662169
"sick pay"	0.0661178
housework	0.0660309
"sick leave"	0.0660126
mortgage	0.0659793
feeding	0.0658238
cleaning	0.0658102
"food supply"	0.0657777
upkeep	0.0657516
distribution	0.065585
immigration	0.0654714
"nursing home"	0.0654166
Advertising	0.0654009
preservation	0.0649069
"wage increase"	0.0648106
severance	0.0646854
"physical therapy"	0.0641799
"educational program"	0.0641113
"working capital"	0.0640389
servicing	0.063946
"medical aid"	0.0638263
ethanol	0.0637697
alleviation	0.063673
"standard of living"	0.0636392
premium	0.0636174
salary	0.0636014
"air travel"	0.0635367
"time off"	0.0633699
rental	0.0632142
"garbage collection"	0.0630769
curriculum	0.0629824
adoption	0.0629653
recreation	0.0627928
"office space"	0.0626968
reconstruction	0.0626888
medication	0.0624462
"public utility"	0.0623462
maternity	0.0620362
payment	0.0618729
equipment	0.0618483
improvement	0.061697
fitness	0.0616934
"interest payment"	0.0616581
eradication	0.0614833
"equal opportunity"	0.0614697
energy	0.0614635
"medical bill"	0.0612955
labor	0.0612097
))
("child molester" (desc 2605.82) (sims
Rapist	0.182479
pedophiles	0.157923
TORTURER	0.15472
perjurer	0.130566
arsonist	0.129173
burglar	0.11849
offender	0.112249
pervert	0.109987
robber	0.109949
pedophile	0.108536
murderer	0.107065
abuser	0.106124
pornographer	0.100055
"drug dealer"	0.0999157
felon	0.0965065
stalker	0.0942617
"murder suspect"	0.0936537
thief	0.0922408
wrongdoer	0.0909014
bloomer	0.0901576
kidnapper	0.0898359
adulterer	0.0883112
"serial killer"	0.0858602
"Angel Maturino Resendiz"	0.0833817
"Eric Rudolph"	0.0811636
"drug trafficker"	0.0796553
"Rafael Resendez-Ramirez"	0.0784282
"Terry Nichols"	0.0778483
"war criminal"	0.0776233
assassin	0.0754097
"Gary Graham"	0.0748212
shoplifter	0.0742776
looter	0.0736905
"Timothy McVeigh"	0.0736421
Unabomber	0.0733053
Philanderer	0.0731063
"robbery suspect"	0.0725516
transvestite	0.0712767
predator	0.0708731
beater	0.0707062
Pusher	0.0705965
forger	0.0697759
troublemaker	0.0678738
smuggler	0.0676219
"draft dodger"	0.0665459
spammers	0.0664555
Qatari	0.0645503
mugger	0.0641036
"Louise Woodward"	0.0631608
plotter	0.0630828
ex-convict	0.0628458
Kurd	0.0625892
swindler	0.062513
whistle-blowers	0.062092
acquirer	0.062013
"con artist"	0.061562
perpetrator	0.0607289
mobster	0.0595434
cheater	0.0592446
recidivism	0.0590257
assailant	0.0588217
neo-Nazi	0.0585801
coward	0.0584784
"good Samaritan"	0.0582153
rustler	0.0581838
householder	0.0579749
fugitive	0.0579589
poacher	0.0579472
"heroin addict"	0.0578994
HITMAN	0.0570757
deserter	0.0569781
attacker	0.056631
parolee	0.0564548
"con man"	0.0563314
thug	0.0561195
"Jonathan Pollard"	0.0559527
"altar boy"	0.0558331
"Mumia Abu-Jamal"	0.0558158
trafficker	0.0557455
"world traveler"	0.055549
first-rounder	0.0554582
"Michael Skakel"	0.0553787
saboteur	0.0552444
violator	0.0549408
autocrat	0.0546413
accomplice	0.0545307
heterosexual	0.0542225
womanizer	0.0537362
wacko	0.0536792
Deri	0.053568
racketeer	0.0532413
bootlegger	0.0531249
extortionist	0.0525522
hyper	0.0525028
mutineer	0.0524385
conspirator	0.0524348
"John J. Gotti"	0.0516383
"Willie Horton"	0.051508
"big leaguer"	0.05138
gangster	0.0512793
"white knight"	0.051265
"drug lord"	0.0505535
schemer	0.0503208
traitor	0.0501134
"hard worker"	0.0497999
Resendez-Ramirez	0.0496326
"good person"	0.0492748
bloke	0.0491543
battler	0.0489356
"Black Panther"	0.0483304
hooligan	0.0482249
co-conspirator	0.0481645
Stayner	0.0478752
"Russell Peeler"	0.0477742
blackmailer	0.0476383
infiltrator	0.0475164
slut	0.0474797
"professional golfer"	0.0474425
kingpin	0.0474249
bullfrog	0.047165
"farm boy"	0.0471069
handicapper	0.0469437
curmudgeon	0.0468096
carcinogen	0.0467572
rioter	0.04673
Klansmen	0.0466565
taskmaster	0.0466562
celebs	0.0465341
"Eric Robert Rudolph"	0.0464044
impostor	0.0463671
LeFave	0.0462505
Kenna	0.0462273
escapee	0.0461194
bigot	0.0455571
whore	0.0452932
scavenger	0.0452839
"hit man"	0.0452466
supremacist	0.0451724
lawbreaker	0.0451605
maniac	0.0449723
informer	0.0448298
Priebke	0.044814
Gotti	0.0443607
despot	0.0441876
denier	0.0438828
fella	0.0438811
vandals	0.043803
"black person"	0.0437507
doer	0.043665
ogre	0.0436621
dermatologist	0.0435732
"prison guard"	0.0435554
illegals	0.0435478
"fall guy"	0.0433286
lunatic	0.0433023
Martorano	0.0432824
Kurth	0.0432281
supplicant	0.0432005
Snitch	0.0429809
"drug addict"	0.042954
liar	0.0427354
"married man"	0.0426291
"car dealer"	0.0426194
cross-dresser	0.0425602
ringleader	0.0421995
crook	0.0421183
sadist	0.0420764
lashing	0.0419401
malcontent	0.0418359
Karbaschi	0.0417396
Mendez	0.0415498
double-teamed	0.0414006
Swango	0.041283
diabetic	0.0412504
survivalist	0.0411251
"second person"	0.0410014
adoptees	0.0409725
deportee	0.0407602
"secret agent"	0.0404868
meatpackers	0.0402621
psychopath	0.0400021
))
("child support" (desc 8052.75) (sims
alimony	0.175441
restitution	0.126889
rent	0.11509
"parking ticket"	0.104085
"disability payment"	0.103448
"food stamp"	0.102536
pension	0.10147
"Social Security benefit"	0.0964577
arrears	0.0961019
"Vanguard Index @@@"	0.0956056
compensation	0.094209
"income tax"	0.0940451
refund	0.0930421
"hush money"	0.0916466
royalty	0.0895261
profit-sharing	0.0889382
payment	0.0879529
severance	0.0876576
reimbursement	0.0852083
"property tax"	0.0842417
"ransom money"	0.083572
wage	0.0824617
Tuition	0.0809933
"medical bill"	0.0809305
"interest payment"	0.0782165
Ransom	0.0774737
"legal fee"	0.0771746
dowry	0.0762353
forfeiture	0.0734082
reparation	0.0727646
visitation	0.0722468
subsidy	0.0717872
"sales tax"	0.0713607
gratuity	0.0711979
"debt service"	0.0708891
"home mortgage"	0.07085
"disability insurance"	0.0707936
childcare	0.0705315
postage	0.0700749
annuity	0.0692145
stipend	0.0689661
"tax credit"	0.0687301
divorce	0.0686729
"child care"	0.0681425
"retirement benefit"	0.0679796
IPR	0.0673177
"insurance premium"	0.0671682
mortgage	0.0668723
"disability benefit"	0.0663306
allowance	0.0659462
"working capital"	0.0650306
bonus	0.0647646
TAXES	0.0646015
guardianship	0.0642707
"bankruptcy protection"	0.064012
"cash bonus"	0.0637206
"profit sharing"	0.0636243
"gross income"	0.0633646
dividend	0.0629067
insurance	0.0623755
"telephone bill"	0.0619205
"death benefit"	0.0616907
rebate	0.0616507
"life insurance"	0.0613834
scholarship	0.060879
"social welfare"	0.0605672
"cash payment"	0.0605647
"health insurance"	0.0605221
Medicaid	0.0600887
libel	0.0594981
"social security"	0.0594902
indemnity	0.0594585
"medical care"	0.0586964
bribe	0.0586579
overdraft	0.0585721
premium	0.0576746
"capital gain"	0.0570297
"insurance claim"	0.0568579
instalment	0.0567215
servicing	0.0563437
inheritance	0.0560292
malpractice	0.0556289
"trust fund"	0.0552561
voucher	0.054844
desegregation	0.0545216
"phone bill"	0.0544958
"financial aid"	0.0543118
"vocational training"	0.0541979
escrow	0.0540055
custody	0.053735
ODA	0.0530152
Lien	0.0526726
"down payment"	0.0526093
monies	0.0525251
injunction	0.0523098
"management fee"	0.0520052
immigration	0.0518695
asylum	0.0517544
kickback	0.0516042
disbarment	0.0515504
"minimum wage"	0.0514259
sum	0.0513905
"mass transit"	0.0513513
counseling	0.0513416
"tax revenue"	0.0510955
"tax bill"	0.0509677
"special education"	0.0506727
"admission fee"	0.0506278
"tax break"	0.0505705
bail	0.0501599
"sick leave"	0.0500858
"personal loan"	0.0499212
repayment	0.0498216
"day care"	0.0497879
"breach of contract"	0.0494493
"financial obligation"	0.0493526
"tax collection"	0.0490472
"customs duty"	0.0489361
"prize money"	0.0489352
"estate tax"	0.0484308
"civil rights"	0.0473378
"bank deposit"	0.0473246
"golden parachute"	0.0472246
"user fee"	0.0467157
"contempt of court"	0.0465176
"social assistance"	0.0464956
"bus fare"	0.0464951
AMT	0.0464864
"savings bond"	0.0462672
"checking account"	0.0462259
"car insurance"	0.04615
"social insurance"	0.0461312
Hantavirus	0.0459521
"birthday present"	0.0458659
"tax liability"	0.0457821
schooling	0.0457474
Copyright	0.0454996
"sexual harassment"	0.0454771
"wage increase"	0.0454232
recapitalization	0.0451036
exemption	0.0450773
"common stock"	0.044996
defamation	0.0447469
surcharge	0.0447145
deduction	0.0445232
"patent right"	0.0441406
"living wage"	0.0440544
arbitration	0.044054
equity	0.0439693
"debt payment"	0.0438853
"savings account"	0.0438431
redress	0.0435487
diem	0.0434434
"export credit"	0.0434118
takings	0.0433568
"venture capital"	0.0432194
"medical aid"	0.0432146
subscription	0.0431531
installment	0.0428864
"purchase order"	0.042877
liquidation	0.0428093
"family planning"	0.0427691
"vocational education"	0.0427639
"boarding pass"	0.0427364
NLRB	0.0427235
"nearly $@@,@@@"	0.0425558
"credit card"	0.0425089
abatement	0.0424972
notary	0.0424783
"nursing care"	0.0424421
enquiry	0.0424144
paternity	0.0423742
remittance	0.042119
"capital gains tax"	0.0421073
invoice	0.0419795
respects	0.0418943
"bank debt"	0.0418026
babysitter	0.0416651
"stock option"	0.0416568
paycheck	0.0416116
"sick pay"	0.0415832
"child abuse"	0.0415666
"time off"	0.041501
deductibles	0.0414655
"letter of credit"	0.0413981
"tax benefit"	0.0412396
"gun control"	0.0410827
nonpayment	0.0409986
"price support"	0.0408719
"equal opportunity"	0.0407883
"RM@@,@@@"	0.0407512
coupon	0.0406913
citizenship	0.0405584
nanny	0.040471
"personal income"	0.0404693
subsistence	0.0404623
Contraception	0.0404534
"health service"	0.040439
tort	0.0404353
upfront	0.0404082
))
("child welfare agency" (desc 947.449) (sims
"Department of Environmental Protection"	0.180731
"Board of Elections"	0.153862
"school system"	0.0927109
"building code"	0.0887637
"Bank of Japan Ltd."	0.0874807
"Street Crime Unit"	0.0874277
"Health Department"	0.0832534
"water plant"	0.0806058
"Department of Health"	0.080458
"Yamaichi Securities Co."	0.07987
"control board"	0.0786843
"business establishment"	0.0782191
"Human Rights Commission"	0.0780943
"Millennium Dome"	0.0779209
"fire chief"	0.0764678
"New York Police Department"	0.0748292
around-the-clock	0.0732376
"Audubon Society"	0.0727726
"transportation system"	0.0707925
"Electoral Commission"	0.0702317
"Board of Supervisors"	0.0699688
fourth-graders	0.0695435
"school superintendent"	0.0675832
parolee	0.0670211
underbelly	0.0667379
"U.S. Immigration and Naturalization Service"	0.0653958
"planning board"	0.0645783
"personnel department"	0.0645126
"Belmont Learning Center"	0.0635903
"medical community"	0.0632585
"Big Dig"	0.0624993
Zarkin	0.0618019
"New Jersey State Police"	0.0617374
"Royal Opera House"	0.061663
caterer	0.0614697
"New York Democrats"	0.0611896
"Department of Transportation"	0.0611139
"employment agency"	0.0607241
"Apollo Theater"	0.0601816
"Business Times"	0.0601401
"Department of Public Health"	0.0596633
"Department of Corrections"	0.0593712
DS	0.0590703
Marineau	0.0588351
"Red Cross Society"	0.0587681
"commercial activity"	0.0584825
"music school"	0.0579812
mayoralty	0.0577013
"Cecil Collins"	0.0576408
storekeeper	0.057195
"European Bank for Reconstruction"	0.0571697
"investment house"	0.0568286
"Consumer Product Safety Commission"	0.056746
"bus company"	0.0566682
"water system"	0.0563608
"Hell's Kitchen"	0.0561467
"Publishers Clearing House"	0.055394
"planning commission"	0.055379
"construction industry"	0.0552401
"Space Needle"	0.0542871
"bankruptcy law"	0.0542731
"body politic"	0.0542669
"Department of Environmental Conservation"	0.0541374
"bond rating"	0.0539655
"three units"	0.053684
"medical institution"	0.0534924
demography	0.0534619
"Jenny Jones Show"	0.0532936
LAPD	0.0532727
"Medicare HMO"	0.0531244
cannery	0.0530861
"minority shareholder"	0.0530747
cabby	0.0530393
"weather satellite"	0.0529898
teamster	0.0529367
"customs service"	0.0528003
"legal community"	0.0526993
"fire brigade"	0.0524878
beekeeper	0.0522956
"Department of Motor Vehicles"	0.0522915
CSA	0.0521611
"department store chain"	0.0520645
"Nissan Motor"	0.05204
"Leon Smith"	0.0520146
"environmental condition"	0.0519686
"Department of Veterans Affairs"	0.0518035
"tax base"	0.051678
JetBlue	0.0513717
"power company"	0.0512381
"entitlement program"	0.051112
"Los Angeles Police Department"	0.0508495
polluters	0.0506377
"medical examiner"	0.0506374
CMAG	0.0506037
"Silicon Alley"	0.0504947
"vocational school"	0.0501343
"ring road"	0.0500779
"medical practice"	0.0500466
"Joint Liaison Group"	0.0497944
"pizza parlor"	0.0495408
"election district"	0.0495353
IBRA	0.0494885
Maharaj	0.049446
"Pudong International Airport"	0.0494107
"work group"	0.0493749
"Israeli Foreign Ministry"	0.0492643
subsidence	0.0491277
Wenger	0.0490743
resellers	0.0490015
"Consolidated Edison"	0.0489804
"Park Service"	0.0488739
IEC	0.0487896
"South End"	0.0485967
"U.N. High Commissioner for Refugees"	0.0485686
"Chinese Foreign Ministry"	0.0485479
"educational institution"	0.0484388
"Penn Station"	0.0484311
"meteorological satellite"	0.0483339
Sowetan	0.0483214
"auto manufacturer"	0.0482939
RCN	0.0482503
"garbage dump"	0.0481911
inspectorate	0.0481184
"Paul Gascoigne"	0.0480287
"civic center"	0.0477268
"suburban area"	0.0477236
"Hearst Corporation"	0.0476367
"butcher shop"	0.0475447
"Medicare HMOs"	0.0474847
"Cincinnati Enquirer"	0.0474146
Ohioan	0.0473886
pushcart	0.0473816
"financial officer"	0.0473715
"health care provider"	0.0473602
"finance company"	0.0473252
"Forest Service"	0.0472953
"John F. Kennedy International Airport"	0.0471179
"board of regents"	0.0470255
Schiffer	0.0468139
"National Association"	0.0467716
"house of worship"	0.0466545
"union worker"	0.0466428
"red-light district"	0.0465915
BLM	0.0465145
maquiladoras	0.0465111
SBA	0.0464009
Bathhouse	0.0462608
CCC	0.0462279
Airlines	0.0461577
"Public Service Commission"	0.0461229
"coal industry"	0.0460472
"local department"	0.0459794
"sea lane"	0.045979
"service station"	0.0459581
"Continental Basketball Association"	0.0458978
"aerospace giant"	0.0458483
"Olympic Committee"	0.0457944
BankAmerica	0.0457918
"highway system"	0.0457535
Scientific-Atlanta	0.0457165
"Saudi Press Agency"	0.0457119
eateries	0.0456275
firehouse	0.0456034
"Black Panthers"	0.0455627
lakefront	0.0455459
"cold spell"	0.0455157
"Long-Term Credit Bank"	0.0454415
"Department of Public Safety"	0.045374
F.A	0.045346
"abortion clinic"	0.0453244
Kulikov	0.0452605
Warshaw	0.0452072
LTCB	0.0451463
"accounting system"	0.0451044
"Daewoo Group"	0.0449125
frontrunners	0.0449097
"price change"	0.0447169
PUC	0.0446038
"Verizon Communications"	0.0445974
"railroad station"	0.0445794
"Philippine Airlines"	0.0445694
"La Guardia"	0.0445664
franchisees	0.0442622
"Bankers Trust Corp."	0.044244
"Education Department"	0.04422
Toysmart.com	0.0441894
"State Administration of Taxation"	0.0441799
NRM	0.0440791
"air bubble"	0.0439374
"Catholic school"	0.0439311
Ruthardt	0.0438825
Alves	0.0438512
outperformance	0.0438008
flashpoints	0.0436916
ITF	0.0436443
"theater company"	0.0436034
VCs	0.0435367
Lipstadt	0.0435219
"Central American nation"	0.0434983
pick-and-roll	0.0434634
))
(child-rearing (desc 2095.04) (sims
motherhood	0.0916337
parenthood	0.0853098
rearing	0.0750074
fatherhood	0.0589094
"child care"	0.058254
"professional life"	0.0527878
Contraception	0.0522093
"hospital care"	0.0516407
"mental health"	0.0487697
housework	0.0476836
Etiquette	0.0472176
"firing line"	0.0465053
commuting	0.04591
"family man"	0.0445306
"marital status"	0.0425457
"social class"	0.0411233
"computer business"	0.0401255
))
(childbirth (desc 9460.63) (sims
pregnancy	0.125452
menopause	0.125043
miscarriage	0.0873028
birth	0.0786238
surgery	0.0722044
infertility	0.0703324
rollovers	0.0692055
"substance abuse"	0.0690485
mastectomy	0.0684713
menstruation	0.0676538
"sexually transmitted disease"	0.0647842
diabetes	0.0634316
Obesity	0.061419
divorce	0.0593033
"lung cancer"	0.059241
hospitalization	0.0584649
inpatient	0.0575591
orgasm	0.0572694
arthritis	0.0560686
"alcohol abuse"	0.0560537
asthma	0.0559349
hernia	0.0558976
jaundice	0.0558341
"heart attack"	0.0554989
Contraception	0.0549801
Alcoholism	0.0546455
"Parkinson's disease"	0.0537942
abortion	0.0530174
intercourse	0.0525159
"heart disease"	0.0522104
angioplasty	0.0520046
puberty	0.0517835
hypertension	0.0506205
motherhood	0.0501087
emphysema	0.0498083
pneumonia	0.0495553
infection	0.0492643
"blood transfusion"	0.0477593
mortality	0.0474883
"line of duty"	0.0471504
trauma	0.0469844
"eye disease"	0.0469217
dryness	0.04636
"family planning"	0.0463519
maternity	0.0462498
bronchitis	0.0461707
incontinence	0.0458586
"kidney stone"	0.0455879
retrenchment	0.0455784
adoption	0.0451813
rearing	0.0449398
starvation	0.0442694
"drug addiction"	0.0441487
"crop failure"	0.0439482
transplantation	0.0436999
gunfight	0.0436491
retardation	0.0435786
"drive-by shooting"	0.0434211
fertility	0.0434009
feeding	0.0432687
"cardiovascular disease"	0.0431224
sickness	0.0430474
"child care"	0.042963
"drug abuse"	0.0426827
"drug use"	0.0423691
dementia	0.0420822
leukemia	0.0419339
STDs	0.041726
ailment	0.0414596
disorder	0.0411413
"giving birth"	0.0410243
"sexual activity"	0.0409041
"early childhood"	0.040897
flu	0.0408235
nursing	0.0407354
"liver disease"	0.0405797
"respiratory disease"	0.0404239
disfigurement	0.0403045
anesthesia	0.0402887
HIV/AIDS	0.0402627
"marital status"	0.0401617
))
(childcare (desc 3561.54) (sims
daycare	0.240471
"day care"	0.21333
"child care"	0.212602
"nursing care"	0.132188
healthcare	0.127537
"special education"	0.123785
"mass transit"	0.123071
"mental health"	0.117777
"social service"	0.116953
"social welfare"	0.114713
retraining	0.112694
"R&AMP;D"	0.11082
"health care"	0.109125
tutoring	0.108436
"adult education"	0.106572
"family planning"	0.104488
"dental care"	0.101696
maternity	0.0965575
"vocational training"	0.0958575
"social assistance"	0.0942981
Tuition	0.0939237
profit-sharing	0.0916185
nursing	0.0911993
sanitation	0.0906632
inpatient	0.0899556
outpatient	0.0884707
outreach	0.0879335
Medicaid	0.0851169
"social insurance"	0.0850402
"medical care"	0.0838254
"health service"	0.0834665
NHS	0.0822148
babysitting	0.0818752
"health insurance"	0.0805734
bereavement	0.0802952
reemployment	0.0796785
reforestation	0.0794651
warehousing	0.077807
counseling	0.0776059
"prescription drug"	0.077091
"secondary education"	0.0764326
"vocational education"	0.0760304
"World Vision"	0.0754439
nutrition	0.0751117
sewerage	0.0750686
"export credit"	0.0745743
"population control"	0.0744856
pension	0.0740059
"higher education"	0.0739235
"public transit"	0.0738897
"substance abuse"	0.0734898
"garbage disposal"	0.0734581
"data processing"	0.0731961
"sick leave"	0.0729783
"consumer credit"	0.0722203
nuts-and-bolts	0.0721343
immunization	0.0719064
"fire control"	0.0715816
"disability insurance"	0.071514
Wellness	0.0712721
"information service"	0.0707152
logistics	0.0705782
"child support"	0.0705315
FEMA	0.0704477
"back office"	0.0703446
telemedicine	0.0701168
mitigation	0.0696926
"hospital care"	0.0687868
"food stamp"	0.0680881
"life insurance"	0.0679587
much-needed	0.0679217
"data entry"	0.0677114
Contraception	0.0675223
"medical aid"	0.0669665
housekeeping	0.0669654
lodging	0.0669085
small-business	0.066746
recapitalization	0.066687
"living wage"	0.0666769
medicare	0.066273
relocation	0.0662237
conservation	0.0659885
"car insurance"	0.0658987
Filtration	0.0658337
severance	0.0657389
stopgap	0.0657142
"head start"	0.0656658
recreation	0.0654412
socialization	0.06542
"first aid"	0.0653191
escrow	0.0647452
schooling	0.0646361
"U.S. government"	0.0643362
K-@@	0.0643097
warranty	0.0641679
literacy	0.0639617
crime-fighting	0.0627948
public-relations	0.0627227
detoxification	0.0624505
pretax	0.0623915
"health benefit"	0.0622554
"military training"	0.0620071
telemarketing	0.0619088
GSP	0.0618711
fitness	0.0616784
IDD	0.0614538
"private school"	0.0613574
rehabilitation	0.0611056
counterintelligence	0.0609196
"data communication"	0.0607089
mammography	0.0607075
"nursing home"	0.0603029
consultancy	0.0602708
forwarding	0.0596353
weight-loss	0.0594146
leasing	0.0592907
fertility	0.0588059
"bond trading"	0.058766
"land reform"	0.0587053
counterterrorism	0.0585391
ergonomics	0.0584299
reinsurance	0.0583582
procurement	0.0583262
"quality control"	0.0577281
"tax credit"	0.0571687
dowry	0.0565996
"air travel"	0.0564706
"conflict resolution"	0.0564204
aquatics	0.0562173
"garbage collection"	0.0560883
"financial aid"	0.0558542
usability	0.055781
"retirement benefit"	0.0556442
bookkeeping	0.0551482
comp	0.0549407
retention	0.0547529
"customer service"	0.0546393
self-help	0.0542435
cushioning	0.0542011
voucher	0.0541628
"Medicare HMO"	0.0539769
broadcasting	0.0538643
collaborative	0.0537563
NEA	0.0534799
intranet	0.0529104
subsistence	0.0527507
NIH	0.0527284
disposal	0.052708
"fine arts"	0.0527043
"tax policy"	0.0526624
hospice	0.0524946
"public transport"	0.0521683
"social work"	0.0520088
ethanol	0.0518643
recycling	0.0518452
authentication	0.0517158
"billion dollar"	0.0516289
Toxicology	0.0515311
preschool	0.0515301
"Health and Human Services"	0.0511007
nourishment	0.051036
liquidity	0.0509877
"urban planning"	0.0509569
va	0.0509478
"traffic control"	0.0508584
aviation	0.0508258
cleanup	0.0504029
"road construction"	0.0503415
hedging	0.0502153
"flood control"	0.0502109
fallback	0.0498114
"home mortgage"	0.0497093
transit	0.0495901
"line of products"	0.0495366
commissary	0.0495327
"public works"	0.0493179
diem	0.0492203
"wireless telephone"	0.049064
"dry cleaning"	0.0490058
"early childhood"	0.0489705
bare-bones	0.0488558
shareware	0.0487807
postage	0.0485456
"U. N."	0.0484411
"price support"	0.0483494
"communications service"	0.0482644
ODA	0.0482572
"educational activity"	0.0481829
polytechnic	0.0481392
C-@@@J	0.0479934
enrichment	0.0478785
"public service"	0.0478011
Manpower	0.0477607
"day care center"	0.0477395
geriatrics	0.0477209
"Office @@"	0.0477068
workfare	0.04765
"equal opportunity"	0.0475836
masseuse	0.0475388
"blood donor"	0.0472958
))
(Childhood (desc 60144.4) (sims
boyhood	0.175461
upbringing	0.140981
life	0.108013
girlhood	0.106168
adolescence	0.0947483
"early childhood"	0.0888832
past	0.0853353
youth	0.0791801
family	0.0712416
"high school"	0.0708031
experience	0.0682367
era	0.0644214
history	0.0624134
marriage	0.0622611
child	0.0615311
"early days"	0.060636
birth	0.0589987
ordeal	0.0583712
career	0.0576097
"real life"	0.0566834
holocaust	0.0558558
memory	0.0555113
neighborhood	0.0553705
culture	0.0552171
adventure	0.055124
love	0.0545276
root	0.0544181
relationship	0.0538898
journey	0.0536871
"small town"	0.0536276
landscape	0.0534473
background	0.0532666
kid	0.0530273
character	0.0528921
tale	0.0528339
dream	0.0526572
heritage	0.0524176
hometown	0.0523477
boy	0.0521881
existence	0.0520536
horror	0.0517514
tragedy	0.0517147
age	0.0515542
living	0.0515364
"love affair"	0.0508841
Death	0.050754
homeland	0.0505207
moment	0.0504384
lifestyle	0.0501821
girl	0.0499648
encounter	0.0496379
lifetime	0.049475
story	0.0494211
politics	0.0490559
parent	0.0490297
nightmare	0.048896
mother	0.0487802
soul	0.0480895
Innocence	0.0480269
reality	0.0478742
conversation	0.0476729
legacy	0.0476667
movie	0.0475485
struggle	0.0474453
tradition	0.0471852
origin	0.047095
glory	0.0470458
infancy	0.0469994
father	0.0469261
feeling	0.0468775
war	0.0468615
"old age"	0.0465738
slavery	0.0464104
sex	0.0463856
nature	0.0463576
America	0.0461853
College	0.0461752
vision	0.0459536
community	0.0459428
"World War II"	0.0457999
teen-ager	0.0457465
episode	0.0456114
grandmother	0.0454048
divorce	0.0447714
music	0.0445806
workplace	0.044565
ancestor	0.0444221
"Cold War"	0.0442367
teens	0.0441481
countryside	0.0441047
scene	0.0440548
incident	0.0439284
summer	0.0438712
fantasy	0.0436881
poverty	0.0433287
farmhouse	0.0433075
generation	0.0431621
trauma	0.0431227
heart	0.0430228
"young woman"	0.0427391
self	0.042729
identity	0.042577
friendship	0.0420783
Romance	0.0420572
scandal	0.0418508
beginning	0.0417465
situation	0.0416155
religion	0.0415676
Universe	0.0413182
Hollywood	0.0413119
"little boy"	0.0412871
motherhood	0.0412225
style	0.041212
courtship	0.041171
circumstance	0.0411072
beauty	0.0410886
"boarding school"	0.0410325
art	0.0410137
church	0.0405456
loneliness	0.0405122
classroom	0.0404063
century	0.0403659
housewife	0.0400575
))
(children (desc 5087.29) (sims
self-censorship	0.0561065
"foster child"	0.0484517
quadruplet	0.0440113
"Iraqi Kurds"	0.042851
"Prudential Insurance Co."	0.0425694
))
(Childress (desc 849.341) (sims
Hendrick	0.112375
Grbac	0.104154
Bruton	0.101455
Gardiner	0.0876737
Snipes	0.0834912
Jayakumar	0.081466
Penske	0.0796758
Guthridge	0.0773379
Atkinson	0.0759739
Gullikson	0.0755582
Kenyon	0.074913
"Earnhardt Jr."	0.0744293
Jaffe	0.073326
Ebersol	0.0718704
Hightower	0.0704416
Hasselbeck	0.0699652
Grimsley	0.0694983
Pugh	0.0694358
Ftorek	0.0689549
Jovanovic	0.0677956
Roush	0.0671597
Tarango	0.0670376
Menard	0.0661944
"Cindy McCain"	0.0661316
Midler	0.0656116
"TOM COUGHLIN"	0.0653916
ITC	0.0638951
Cormier	0.0638387
Gorter	0.0632864
Meng	0.0631464
Hybl	0.0620612
Andreychuk	0.0613395
Hiddink	0.0610761
Yates	0.0610372
Sumaye	0.0608414
CMAG	0.060392
Fiedler	0.0600448
Hecht	0.0600179
Orban	0.0596176
Vasile	0.0591384
Kasoulides	0.0590798
Petit	0.0590123
McCown	0.0585865
Samuelson	0.0582999
Sassa	0.0581444
Pu	0.0580554
Meguid	0.0580297
McMullen	0.057797
Severino	0.0577662
Donahue	0.0576718
Allchin	0.0574292
Kostov	0.0573212
Ozersky	0.0570056
Erwin	0.0568754
Kauffman	0.0567503
Gibbs	0.0567036
Gauthier	0.056676
ISU	0.0566167
Gullit	0.0564577
Lafleur	0.0563318
Geiger	0.0554983
Jacke	0.0554581
Bain	0.0553385
Raitt	0.0550611
Tupa	0.0548863
McLachlan	0.0547208
Mucha	0.0544272
Hanley	0.0543799
McAllister	0.0541989
Vialli	0.0541243
Collymore	0.0540232
Troussier	0.0540061
Hoke	0.0539703
Stillman	0.0538943
McWilliams	0.0538424
Westendorp	0.0537941
stevedore	0.0536458
"Joe Gibbs"	0.0536128
Elam	0.0535773
Rousseau	0.0534315
"Israeli Army"	0.0533541
ANGELOS	0.0533503
"Phelps Dodge"	0.0532021
Ashrawi	0.0530416
Zambrano	0.0529941
Skiles	0.0529863
Hendricks	0.0529764
Longo	0.0529266
Ulrich	0.0527997
Brundtland	0.052797
Tellem	0.0527072
Rodionov	0.052702
Guterres	0.0525469
Moran	0.0524957
Rudman	0.052382
Hertz	0.0523719
DiMaio	0.0523637
Gossage	0.0522901
Fraga	0.0521257
Nickles	0.0520495
"La Russa"	0.0518104
Hatfield	0.0516284
Villanueva	0.0516264
Valenti	0.0515058
Boller	0.0514422
"Campbell Soup"	0.051425
knucklehead	0.0513904
BSF	0.0513476
Sheehan	0.0512371
Moreno	0.0511634
Ciampi	0.0509989
Pape	0.0509569
Granic	0.0508808
AMF	0.0507711
"Bank of Israel"	0.050763
Bautista	0.0507105
Musa	0.0506415
Cornwell	0.0504508
Sayles	0.0503659
"English Football Association"	0.0503476
Caltex	0.050265
Stamps	0.0501942
Brister	0.0501397
Jing	0.0499722
Carollo	0.0497744
McKenna	0.049696
Cui	0.0496359
gamecock	0.0494922
Springbok	0.0494754
Mandella	0.0494357
"Robert Aventajado"	0.0493673
Mirer	0.0492782
"Rich Brooks"	0.0491447
Dreyfus	0.0490318
Ghalib	0.049024
Chappell	0.048994
Milbury	0.0489734
Shamshad	0.0489144
Passarella	0.0488928
Barksdale	0.0487649
Beazley	0.0486744
"Health and Welfare Ministry"	0.0486308
"Ryan Kealy"	0.048621
Schourek	0.0486044
CAA	0.0485629
Stronach	0.048456
"Brian Scalabrine"	0.0484139
Fuhr	0.0484034
Fernandes	0.0482492
ITU	0.0482309
Wenger	0.0480013
Yount	0.0479969
Nasrallah	0.0479963
Venables	0.047801
Stadler	0.0477768
Solich	0.0476648
BURNHAM	0.0475367
Dodik	0.0475186
"Bank of Scotland"	0.0474971
Arens	0.0474886
Kealy	0.0474803
Suzanne	0.0474707
G.M	0.0474201
Westin	0.0472923
Angara	0.047259
"John Fox"	0.0472319
Maloney	0.0472305
Ingraham	0.0472106
Rosenthal	0.047209
Dawkins	0.0471959
Baugh	0.0471348
Prewitt	0.0469667
Penney	0.0469339
Evernham	0.0468515
Brittan	0.0467907
Galvin	0.0467534
Kato	0.0467438
"Peter King"	0.0467244
Brandt	0.0467147
Gaynor	0.0467051
Oliveira	0.0466274
Steiner	0.0466163
Reinhardt	0.0466084
Iliescu	0.0466021
Alarcon	0.0465943
Almeida	0.0465725
Denilson	0.0465566
Clancy	0.0465457
Vance	0.0465106
Morgenthau	0.0464935
Boueiz	0.0464554
Goff	0.0463838
"Media Partners"	0.0463593
Henson	0.0463252
Foyt	0.046128
Dobbs	0.0460368
Napolitano	0.0459095
Tsang	0.04577
Tuttle	0.0457465
"NASCAR Winston Cup"	0.0457447
))
(Childs (desc 5602.34) (sims
"Kurt Thomas"	0.225962
"Larry Johnson"	0.217547
"Chris Childs"	0.206675
"Marcus Camby"	0.168214
"Allan Houston"	0.162728
Camby	0.151333
Ewing	0.147264
Starks	0.135649
"Charlie Ward"	0.134941
Sprewell	0.131481
"Chris Dudley"	0.119151
"Patrick Ewing"	0.109153
"Latrell Sprewell"	0.105795
Geiger	0.105507
"Herb Williams"	0.0964143
"Van Exel"	0.0952498
Kukoc	0.0933863
Laettner	0.092547
Iverson	0.0921569
Bullard	0.0875416
"John Starks"	0.0842615
Smits	0.0842342
"Dennis Scott"	0.0833895
Chrebet	0.0832173
Garnett	0.0828828
Stackhouse	0.0814136
Gatling	0.0812169
Nedved	0.0799846
Sabonis	0.0791198
Gorter	0.078729
Croshere	0.0783097
Westbrook	0.0763188
Cassell	0.0758486
Weatherspoon	0.0755788
Baerga	0.0752814
Cota	0.0748906
Suker	0.0747658
Dudley	0.0744687
Stoudamire	0.0738356
Horry	0.0738224
Schmidt	0.0729931
Boles	0.0727699
duncan	0.0727118
"Derek Fisher"	0.0717255
Milbury	0.0706391
O'Neal	0.0704216
Hardaway	0.0700284
Malone	0.0698944
Artest	0.0695286
Francis	0.0687825
Olajuwon	0.0686182
Thomas	0.0680232
Kidd	0.0676796
Mahomes	0.0668492
"Alonzo Mourning"	0.0665252
Odom	0.0662285
Oakley	0.0659491
"John Wallace"	0.0657986
"Christian Laettner"	0.065738
Testaverde	0.0653391
Cleaves	0.0653062
Wilkins	0.0651364
Gillom	0.0649985
Ruehe	0.0643242
Barrie	0.0641855
Romanowski	0.0640121
"P.J Brown"	0.0636374
Mendez	0.0634163
Trepagnier	0.0634156
Alou	0.0632258
Matthaeus	0.0631675
Wallace	0.0631051
Laperriere	0.0630476
Tkachuk	0.0628959
Barkley	0.062831
Roenick	0.0627753
McMichael	0.0626915
Verbeek	0.0626052
McAllister	0.0624531
Bure	0.0620792
Mayfield	0.0618899
Ceballos	0.061875
Sydor	0.061871
Brister	0.0618581
Chouinard	0.0616907
McInnis	0.0616243
Lowery	0.0615754
"Glen Rice"	0.0615562
Atkins	0.0614612
McGinest	0.0613029
Allan	0.0610381
ward	0.0608712
"Tim Hardaway"	0.0608146
Swoopes	0.0603662
Mack	0.0603628
"Van Gundy"	0.0603461
Flaherty	0.0602835
Pratt	0.0602294
Jair	0.0601173
Raines	0.0600086
Langenbrunner	0.0599788
Audette	0.059869
Milbrett	0.0597118
Lindros	0.0594918
Elie	0.0594482
"Van Horn"	0.0593392
Pippen	0.0593252
Higgins	0.0593072
Timlin	0.0593002
Andreychuk	0.0592984
DeBerg	0.0591639
Mobley	0.0591227
MARBURY	0.0590771
"Robert Horry"	0.0588956
McCarty	0.0585929
Hansen	0.0585312
Webber	0.0584247
Sanders	0.058405
Newhouse	0.0583443
Fizer	0.0581767
"Reggie Miller"	0.0581699
Lafleur	0.0580705
Boone	0.0580107
El-Amin	0.0579776
Ripken	0.0579335
Rogers	0.0576804
rudd	0.0576753
Lieberthal	0.0576554
Glover	0.0574242
Kemp	0.0574107
Grimsley	0.0570848
McCown	0.0570725
Weisman	0.0570428
Murray	0.0570142
Girardi	0.0570004
Daigle	0.0567767
"Jalen Rose"	0.0565965
Coleman	0.0565489
Palffy	0.0564662
Valentin	0.0563835
Erickson	0.056294
Greene	0.0562625
Mora	0.0562571
McNair	0.0562267
Leyritz	0.05617
Ordonez	0.0560166
Beazley	0.0560064
Welch	0.0559432
Hecht	0.0559234
Gervin	0.0558673
Brunell	0.055812
jacoby	0.0557165
Aventajado	0.0556795
McDonnell	0.055643
Edwards	0.0556065
Curtis	0.0555837
"Derrick Coleman"	0.0555534
Akers	0.0555177
Gullikson	0.0554968
Hawkins	0.0554412
Harrington	0.055436
McKinnon	0.0553399
Stockton	0.0552889
Hendrickson	0.0552307
Waugh	0.0551316
Zambrano	0.0551085
Franchitti	0.0550254
Guillen	0.0549621
Goldin	0.0549372
Mullin	0.0548911
Ainge	0.0547176
Sakic	0.054703
Knoblauch	0.0544951
Kirkpatrick	0.0544799
Weinke	0.0544405
Giles	0.0543998
Myers	0.0541941
Foley	0.0541725
McKenna	0.0541506
fisher	0.0541462
Reiner	0.0540831
Carter	0.0539635
Brosius	0.0539158
Parris	0.053882
"Ryan Kealy"	0.0537631
Robinson	0.0536516
Grunow	0.05364
Peters	0.0534285
Zimmer	0.0533762
Ellis	0.0532742
Redd	0.0532726
Murrell	0.0532534
Perisho	0.0531916
Cooke	0.0531879
"Michael Peca"	0.0531467
Monahan	0.0530951
Cowan	0.0530668
Lampkin	0.0530539
Mutombo	0.0529561
O'Donnell	0.0529148
))
(Chile (desc 70712) (sims
Argentina	0.230989
Peru	0.206222
Venezuela	0.202829
Mexico	0.200455
Uruguay	0.200189
Ecuador	0.197456
Brazil	0.197115
Bolivia	0.192503
Colombia	0.186493
"South Africa"	0.181852
Paraguay	0.181574
Bulgaria	0.180872
Romania	0.179743
Poland	0.176437
Guatemala	0.176137
"Costa Rica"	0.175104
Spain	0.172371
Canada	0.166729
Panama	0.164614
Cuba	0.163402
Nigeria	0.162357
Hungary	0.159694
Italy	0.158506
"South Korea"	0.158488
Croatia	0.15833
Belgium	0.15761
Egypt	0.157348
France	0.157199
Sweden	0.156989
Portugal	0.156925
Australia	0.156862
Denmark	0.156836
Germany	0.156594
Norway	0.156588
Netherlands	0.156008
Malaysia	0.154524
Tunisia	0.154043
"El Salvador"	0.152697
Austria	0.152405
Thailand	0.152391
"Saudi Arabia"	0.152177
Finland	0.151553
Ukraine	0.150887
"New Zealand"	0.149505
Nicaragua	0.149077
Greece	0.146198
Switzerland	0.145631
Russia	0.144117
"Dominican Republic"	0.143968
Japan	0.143824
Iran	0.14284
Jamaica	0.142803
Honduras	0.142462
Algeria	0.142331
Ghana	0.141794
Indonesia	0.141629
Morocco	0.141586
Pakistan	0.139324
Turkey	0.136726
Cambodia	0.135934
"United States"	0.135861
China	0.134826
Ireland	0.134608
Philippines	0.133893
Vietnam	0.133785
Zimbabwe	0.133248
India	0.132111
Haiti	0.131675
Britain	0.13164
"Czech Republic"	0.131385
Lithuania	0.13054
"Sri Lanka"	0.129802
Namibia	0.129133
Mongolia	0.129076
Singapore	0.128104
Qatar	0.127808
Kenya	0.127324
Guyana	0.125588
Scotland	0.125315
Oman	0.124953
Slovakia	0.124418
Luxembourg	0.123166
Iceland	0.123089
England	0.123044
"Trinidad and Tobago"	0.122571
Senegal	0.122423
Mozambique	0.121251
Bahrain	0.121143
Kuwait	0.121042
Slovenia	0.120721
"United Kingdom"	0.119674
Kazakhstan	0.118858
Myanmar	0.118384
Bangladesh	0.117594
Zambia	0.116228
Libya	0.116153
Cameroon	0.116126
Estonia	0.115877
Ethiopia	0.115586
Belarus	0.114453
"United Arab Emirates"	0.113367
Yugoslavia	0.112999
Angola	0.112611
Taiwan	0.112514
Nepal	0.112178
"South American country"	0.111909
Israel	0.111846
Uzbekistan	0.111828
Sudan	0.110647
Malta	0.110623
Yemen	0.109482
Fiji	0.109398
Moldova	0.109218
Uganda	0.108628
Mali	0.108559
Armenia	0.108514
Brunei	0.108107
"Great Britain"	0.107461
country	0.106321
Latvia	0.105448
"North Korea"	0.104655
"Hong Kong"	0.104266
Tanzania	0.103997
Gabon	0.102907
Laos	0.102256
Syria	0.101481
Barbados	0.101394
"The Netherlands"	0.100505
"Papua New Guinea"	0.100361
Togo	0.100104
Guinea	0.0993604
Cyprus	0.0991689
Korea	0.0990854
"Puerto Rico"	0.0988655
Albania	0.0977677
"Ivory Coast"	0.0971717
Europe	0.0968695
Lebanon	0.0960551
Botswana	0.0952082
Iraq	0.0950857
Belize	0.0944387
Macedonia	0.094395
Azerbaijan	0.0940292
ROK	0.0936508
"Republic of Korea"	0.0933455
"Latin America"	0.0929486
Mauritius	0.0923114
"European country"	0.0919004
Holland	0.0916822
Turkmenistan	0.0916303
UAE	0.0908179
Africa	0.0900891
"African country"	0.0898546
Jordan	0.0896803
"Sierra Leone"	0.0892366
"South America"	0.0885371
chiles	0.0885042
"Central American country"	0.0884597
EU	0.0883317
"Burkina Faso"	0.0881414
"Central America"	0.0879359
Rwanda	0.0875155
Niger	0.0874691
Afghanistan	0.0863641
Burma	0.0863304
Malawi	0.0855766
"Asian nation"	0.0855643
chilies	0.0854227
Republic	0.0852695
nation	0.0851755
"Northern Ireland"	0.0851487
Kyrgyzstan	0.0849519
Liberia	0.0846347
Czechoslovakia	0.0843295
Georgia	0.0843238
Moscow	0.0839317
Chili	0.0837497
Bahamas	0.0830592
Suriname	0.0830133
"Asian country"	0.0821003
"European Union"	0.0813533
Benin	0.0810354
"bell pepper"	0.0808862
BEIJING	0.0806451
California	0.0806365
"Soviet Union"	0.0803387
"African nation"	0.0801724
Eritrea	0.0799589
Swaziland	0.0797323
Washington	0.0796832
Madagascar	0.0793348
Zaire	0.0792752
Asia	0.0792291
U.S.	0.0791536
Chad	0.0788947
Burundi	0.0782968
Florida	0.0780805
Macao	0.0778015
Wales	0.0775619
Mercosur	0.0772555
))
(Chilean (desc 11391.4) (sims
Argentine	0.141588
Colombian	0.139472
Bolivian	0.134395
Mexican	0.12517
Cambodian	0.124994
Peruvian	0.123051
Spaniard	0.11983
Lebanese	0.118731
Panamanian	0.118538
Brazilian	0.11723
Venezuelan	0.11714
Algerian	0.110243
Jordanian	0.107815
Paraguayan	0.105257
"New Zealander"	0.104928
Iranian	0.102608
Nicaraguan	0.101774
Swiss	0.100972
Briton	0.100446
Canadian	0.100021
Indonesian	0.0999171
Jamaican	0.0997481
Bulgarian	0.0976669
Honduran	0.0973074
Angolan	0.0971678
Norwegian	0.0969236
Swede	0.0968044
Austrian	0.0963187
Australian	0.0963091
Sudanese	0.0957655
Italian	0.0956019
Cuban	0.0953188
Filipino	0.0952927
Uruguayan	0.0951277
Haitian	0.0946436
Ethiopian	0.0943034
Vietnamese	0.0933523
Kenyan	0.0929381
Iraqi	0.0927037
Mozambican	0.0923419
German	0.0921526
Belgian	0.0919144
Dominican	0.0900536
"Sri Lankans"	0.0898557
Koreans	0.0890673
Georgian	0.0887695
"Puerto Rican"	0.0879088
Pakistani	0.0878131
Moroccan	0.0876819
Russian	0.0875224
Romanian	0.0873614
"South African"	0.0871798
Ugandan	0.087119
Saudi	0.0870512
Salvadoran	0.0853551
Thai	0.0853142
"South Koreans"	0.0839161
Ecuadoran	0.0837338
Afghan	0.0836788
citizen	0.0836091
Ecuadorian	0.0834869
Yugoslav	0.0831342
Kuwaiti	0.0827784
"East Timorese"	0.0825922
Guatemalan	0.0824549
Beijingers	0.0821268
Nigerian	0.0819177
Californian	0.081537
Turk	0.0808248
Japanese	0.0807795
Syrian	0.0805719
Taiwanese	0.0804748
Egyptian	0.08045
Zimbabwean	0.0802831
Cypriot	0.0802125
Hungarian	0.0801958
Frenchmen	0.0800468
Somali	0.0800278
Ukrainians	0.0799645
Zambian	0.0795837
Greeks	0.0787525
Quebecers	0.0786701
Bangladeshi	0.0783377
"political dissident"	0.0782749
Liberian	0.0778361
foreigner	0.0769362
Tibetans	0.07508
Kurds	0.0748833
"Sierra Leonean"	0.0748815
"political prisoner"	0.0745696
Bosnians	0.0740761
Missourian	0.0740552
Singaporean	0.073549
"altar boy"	0.073135
detainee	0.0724978
Frenchman	0.0719512
"San Franciscans"	0.0717382
Libyan	0.0717194
Malaysian	0.0715272
Yemeni	0.071473
Cuban-Americans	0.0714328
"North Koreans"	0.069745
Israeli	0.0694482
Nepalese	0.0692033
African	0.0683862
Croats	0.0677786
Tanzanian	0.0676372
Arizonan	0.0673986
"union member"	0.0672056
Muscovite	0.0669451
Eritrean	0.0665741
Floridian	0.0662783
Armenians	0.0660648
"college student"	0.0658324
Indian	0.0657136
Rwandan	0.0655077
Czech	0.0654665
Ecuadoreans	0.0648695
"Iranian POWs"	0.0647934
"church member"	0.0644663
Palestinian	0.0643252
"Israeli Arabs"	0.0642984
"Kosovo Serbs"	0.0642205
Dane	0.063699
Albanian	0.0636035
"farm worker"	0.0635747
servicemen	0.0635738
Burundian	0.0634359
"Kosovo Albanians"	0.0632371
Basques	0.0632133
"university student"	0.0630521
"foster child"	0.0629956
migrant	0.0629424
immigrant	0.0626083
Finn	0.0625795
claimant	0.0624838
Copt	0.0620936
Atlantans	0.0619251
Congolese	0.0617596
Vermonter	0.0615834
"Cuban Americans"	0.061451
Jew	0.0611802
Portuguese	0.0611198
Senegalese	0.0610284
dissident	0.0609296
laborer	0.0608551
villager	0.0600313
African-American	0.0596934
Scots	0.059496
Chechens	0.0594558
"military man"	0.0593696
Dutch	0.0593046
"council member"	0.0592578
Hispanic	0.0592088
westerner	0.0591655
Stoltenberg	0.059028
rios	0.0587829
"Australian Mark Philippoussis"	0.0581714
Protestant	0.0576297
Southerner	0.0576037
schoolchildren	0.0575868
"North Africans"	0.0575674
Londoner	0.0574872
"coal miner"	0.0574336
Kosovars	0.0574151
Moslem	0.0573753
"New Jerseyans"	0.057325
Irishman	0.0572423
inmate	0.0571919
"dock worker"	0.0570598
journalist	0.0569829
prisoner	0.0569815
policyholder	0.0567008
"military personnel"	0.0566991
Arab	0.0566964
Japanese-Americans	0.056302
"North Carolinian"	0.0559608
Latino	0.0553551
Muslim	0.0553148
enlistee	0.0552937
christian	0.0547826
homeowner	0.0547341
"South Carolinian"	0.0542966
trucker	0.0542788
"political detainee"	0.0542249
countrymen	0.0542102
"police officer"	0.054026
Hawaiians	0.0539091
Minnesotan	0.0538897
"Central American"	0.0537461
Tutsis	0.0535227
Serbs	0.0535045
Sidot	0.053445
respondent	0.0534054
"East German"	0.0534005
Iowan	0.0533883
cabby	0.0533262
Irish	0.0532609
businessmen	0.0531994
guardsmen	0.0531774
))
(chiles (desc 13625.8) (sims
chilies	0.376596
"bell pepper"	0.274384
jalapeno	0.269051
pepper	0.249365
"green onion"	0.24613
Garlic	0.237878
cilantro	0.233481
shallot	0.223913
"red bell pepper"	0.22311
Chili	0.220917
"red pepper"	0.211013
"garlic clove"	0.209211
"red onion"	0.207455
onion	0.205832
scallion	0.20519
"chili powder"	0.203794
parsley	0.20103
thyme	0.190583
tomato	0.189148
"green pepper"	0.186038
Basil	0.185878
ginger	0.183188
cumin	0.181174
celery	0.180458
chive	0.172746
"lime juice"	0.171474
avocado	0.170315
"plum tomato"	0.17001
cucumber	0.16965
tomatillo	0.168888
"bay leaf"	0.168709
oregano	0.168442
"chili pepper"	0.168045
"lemon juice"	0.167998
marjoram	0.160818
fennel	0.156634
mushroom	0.153831
dill	0.15356
vinegar	0.152469
coriander	0.151554
lemongrass	0.151304
carrot	0.150752
tarragon	0.149294
"tomato paste"	0.148813
"water chestnut"	0.143636
eggplant	0.143339
olive	0.142718
"pine nut"	0.14008
zucchini	0.139148
peppercorn	0.138081
"shiitake mushroom"	0.137877
radish	0.13757
"soy sauce"	0.137179
leek	0.136869
"hot pepper"	0.136831
mustard	0.136584
cayenne	0.13608
"black bean"	0.135779
paprika	0.135624
asparagus	0.133188
mayonnaise	0.130558
rosemary	0.130509
sauce	0.129652
"black olive"	0.129179
"tomato sauce"	0.128735
lettuce	0.128043
salt	0.127461
potato	0.127084
mint	0.126977
pea	0.126483
almond	0.126298
pineapple	0.125764
anchovy	0.125212
cheese	0.124643
bean	0.123487
beet	0.123344
flake	0.123033
"chili sauce"	0.12223
spinach	0.122064
horseradish	0.121234
clove	0.120409
"olive oil"	0.119516
"black pepper"	0.119318
salsa	0.118576
"lima bean"	0.118522
"curry powder"	0.118307
herb	0.117225
pancetta	0.11642
"Worcestershire sauce"	0.115446
cabbage	0.115015
puree	0.114366
turmeric	0.114169
chervil	0.113808
"chicken broth"	0.113512
"coconut milk"	0.112328
caper	0.112115
broth	0.111443
lemon	0.111209
seasoning	0.111037
"sesame oil"	0.110404
"brown sugar"	0.109282
ham	0.109195
artichoke	0.109162
"sesame seed"	0.108494
bacon	0.10842
"sweet potato"	0.107869
cinnamon	0.10761
"bean sprout"	0.107212
fig	0.106082
shrimp	0.105811
"lemon zest"	0.104955
peanut	0.104808
spice	0.104665
chutney	0.104573
Sage	0.10409
mango	0.104001
raisin	0.103665
watercress	0.103138
Chickpea	0.103101
sausage	0.102609
papaya	0.102441
yogurt	0.101992
plantain	0.10136
"cumin seed"	0.101017
"hoisin sauce"	0.100641
"pepper sauce"	0.100611
"Tabasco sauce"	0.100381
pork	0.09947
parsnip	0.0988886
"sour cream"	0.0988033
nutmeg	0.0987678
arugula	0.0984626
butter	0.098419
walnut	0.0982741
veggie	0.0974993
okra	0.097154
saffron	0.096948
vegetable	0.0960824
"cherry tomato"	0.0956016
noodle	0.0946744
sugar	0.0944225
pickle	0.094357
"egg yolk"	0.0938425
turnip	0.0935152
"cayenne pepper"	0.0933051
Parmesan	0.092886
tortilla	0.0927072
sprig	0.0923562
"hot sauce"	0.0923287
corn	0.0923038
"goat cheese"	0.0922014
"hard-boiled egg"	0.0919021
"green bean"	0.0910435
"wine vinegar"	0.0910331
peach	0.0910142
pecan	0.090654
juice	0.0905798
chicken	0.0905333
pear	0.0901635
"orange juice"	0.0898523
"mustard seed"	0.0897173
lime	0.0893736
squash	0.0893488
"peanut oil"	0.088992
crumb	0.0886742
Chile	0.0885042
macaroni	0.0884342
soup	0.0883117
"green olive"	0.0882988
Broccoli	0.0881661
Serrano	0.0880783
paste	0.0879853
allspice	0.0876585
pimento	0.0874924
"brussels sprout"	0.0874655
sauerkraut	0.0873268
mozzarella	0.0873122
coconut	0.0867076
ricotta	0.0862663
cream	0.0859555
"garlic salt"	0.0858137
"Swiss chard"	0.0857869
slice	0.085718
breadcrumb	0.0852
powder	0.0850944
"pumpkin seed"	0.0849646
nut	0.0841996
"coriander seed"	0.0841889
leaf	0.0841735
cauliflower	0.0839496
ketchup	0.0839487
"snow pea"	0.0837052
cantaloupe	0.0834577
honey	0.0832044
lentil	0.0818975
"seasoned salt"	0.0815166
pumpkin	0.0814272
fillet	0.0813371
pesto	0.0813311
"tomato juice"	0.0812925
))
(Chili (desc 17473.3) (sims
chilies	0.243441
chiles	0.220917
jalapeno	0.195758
"bell pepper"	0.189231
pepper	0.188731
onion	0.185242
"red pepper"	0.18025
Garlic	0.170833
"chili pepper"	0.166507
"chili powder"	0.164576
"hot pepper"	0.16372
tomato	0.162882
cilantro	0.162132
sausage	0.160933
shallot	0.159473
soup	0.154998
sauce	0.1529
ginger	0.151488
scallion	0.15106
pasta	0.150575
oregano	0.146744
mustard	0.146677
cheese	0.146439
parsley	0.146267
cumin	0.144907
"black bean"	0.144865
tomatillo	0.144696
bean	0.143729
noodle	0.141154
"red bell pepper"	0.13963
spaghetti	0.137011
curry	0.136829
turmeric	0.136792
salad	0.136168
"green pepper"	0.135432
"tomato sauce"	0.132661
Basil	0.131086
stew	0.130719
salsa	0.12909
chicken	0.129013
spinach	0.128729
cucumber	0.126801
mayonnaise	0.126786
"lime juice"	0.126289
pickle	0.126161
potato	0.126149
"vegetable soup"	0.12531
shrimp	0.125127
mushroom	0.124969
cornbread	0.124121
"green onion"	0.124108
lemongrass	0.122871
dill	0.122669
"red onion"	0.122577
steak	0.121878
ham	0.121718
leek	0.121626
chutney	0.121466
paprika	0.120916
gravy	0.120454
celery	0.119642
carrot	0.118426
broth	0.117712
pizza	0.117045
"hot sauce"	0.116906
marjoram	0.1169
thyme	0.116892
bread	0.116541
pea	0.115934
"sour cream"	0.115887
"garlic clove"	0.115535
"coconut milk"	0.115123
coriander	0.114496
vinegar	0.114427
"french fries"	0.114177
pork	0.113149
gumbo	0.112914
soy	0.112758
spice	0.112724
"black pepper"	0.111853
"sweet potato"	0.110838
bacon	0.110705
zucchini	0.110678
"soy sauce"	0.110554
eggplant	0.109972
salt	0.109383
"peanut butter"	0.109245
pineapple	0.109115
herb	0.108756
meat	0.108584
seasoning	0.108502
"chili sauce"	0.108304
"tomato paste"	0.108265
"bay leaf"	0.10698
macaroni	0.10686
sandwich	0.106649
"pot roast"	0.106609
"olive oil"	0.106485
taco	0.105577
meatloaf	0.105081
veggie	0.104991
horseradish	0.10494
vegetable	0.104808
"pepper sauce"	0.104632
avocado	0.10429
chive	0.104174
rosemary	0.104054
cayenne	0.103784
puree	0.103569
"sesame oil"	0.103486
"curry powder"	0.103069
tortilla	0.102683
corn	0.102511
"corned beef"	0.102208
"hot dog"	0.101646
olive	0.101573
rice	0.101234
cabbage	0.101152
"black olive"	0.101021
"plum tomato"	0.100997
peppercorn	0.100983
mint	0.100808
enchilada	0.100795
lentil	0.100761
"lima bean"	0.100496
lettuce	0.100462
lemon	0.100026
tarragon	0.0996666
radish	0.0995685
"roast beef"	0.0993794
beet	0.0993233
anchovy	0.0990667
sauerkraut	0.0986217
burgers	0.0986166
Hamburger	0.0983151
honey	0.0982677
"goat cheese"	0.0980307
clove	0.0979711
"lemon juice"	0.0979301
paste	0.0977583
"sesame seed"	0.0968235
fennel	0.0967697
"water chestnut"	0.0967329
"cumin seed"	0.0962859
polenta	0.0961524
biscuit	0.0961334
pesto	0.0957601
tuna	0.095471
pimento	0.0951463
wasabi	0.0951194
yogurt	0.0949497
fajitas	0.0948942
seafood	0.0947934
Lasagna	0.0944921
asparagus	0.0944546
"cayenne pepper"	0.0943491
barbecue	0.0941395
"chicken breast"	0.093248
"meat loaf"	0.0930599
"macaroni and cheese"	0.0928026
papaya	0.0920051
mango	0.0915001
Casserole	0.0914982
turnip	0.0913448
sugar	0.0912234
"green salad"	0.0907647
"brown sugar"	0.0906357
"potato salad"	0.0905011
fig	0.0904122
peach	0.0897108
cinnamon	0.0896288
sesame	0.0895452
mussel	0.0894057
almond	0.0893912
"shiitake mushroom"	0.0893157
butter	0.0892568
hazelnut	0.0890996
"chicken broth"	0.0890319
artichoke	0.0889934
Chickpea	0.0889393
egg	0.088934
nutmeg	0.0888959
jelly	0.088567
ketchup	0.0884174
meatball	0.0880939
saffron	0.0880907
fruit	0.087948
cake	0.0878662
"Worcestershire sauce"	0.0878493
squash	0.0876698
pumpkin	0.0876129
"pine nut"	0.0874738
"spaghetti sauce"	0.0874626
porridge	0.087448
flake	0.0873742
coconut	0.0872165
pear	0.0871337
allspice	0.0870732
truffle	0.0869196
miso	0.0867438
))
("Chili Davis" (desc 6495.6) (sims
"Scott Brosius"	0.299713
"Paul O'Neill"	0.29712
"Tim Raines"	0.289402
"Tino Martinez"	0.289143
"Chad Curtis"	0.267325
"Jorge Posada"	0.262305
"Shane Spencer"	0.261742
"Ricky Ledee"	0.254829
"Bernie Williams"	0.252641
"Darryl Strawberry"	0.241921
"Chuck Knoblauch"	0.224508
"Derek Jeter"	0.223484
"Luis Sojo"	0.22294
"Jim Leyritz"	0.185603
"Glenallen Hill"	0.183085
"Joe Girardi"	0.182161
"Tim Salmon"	0.173892
Brosius	0.16912
"Frank Thomas"	0.167328
Rolen	0.167311
"Greg Vaughn"	0.165867
"Edgar Martinez"	0.157848
"David Segui"	0.157589
"Mariano Rivera"	0.157501
"Fred McGriff"	0.156999
"Mark Kotsay"	0.152519
"Ray Durham"	0.151691
"Tim Bogar"	0.150762
"Edgardo Alfonzo"	0.150157
"Harold Baines"	0.149981
"Tony Eusebio"	0.149402
"Jim Thome"	0.148555
"Clay Bellinger"	0.147749
"Mike Sweeney"	0.147257
"Carlos Lee"	0.146856
"John Olerud"	0.146538
"Brian Daubach"	0.146387
"Jose Hernandez"	0.145374
"Jeff Conine"	0.145021
"Scott Spiezio"	0.144234
"Jose Vidro"	0.143574
"Eric Owens"	0.143524
"Jason Varitek"	0.143303
Jeter	0.142955
"David Bell"	0.142894
Fullmer	0.142756
"Damian Miller"	0.142091
"Rafael Palmeiro"	0.141767
"John Valentin"	0.141624
"Ken Caminiti"	0.141118
"Quilvio Veras"	0.140783
"Phil Nevin"	0.140352
"Mark Loretta"	0.139627
"Luis Gonzalez"	0.138587
"Barry Bonds"	0.138422
"Preston Wilson"	0.138356
"John Vander Wal"	0.138137
Olerud	0.136593
"Cristian Guzman"	0.136296
"Mike Stanley"	0.136132
"Eric Chavez"	0.13556
"Jose Canseco"	0.135234
"Dave Martinez"	0.135041
"Lee Stevens"	0.13417
"Jay Buhner"	0.134065
"Troy Glaus"	0.134022
"Gary Sheffield"	0.133984
"Robin Ventura"	0.133946
"Matt Stairs"	0.133783
O'Neill	0.133554
"Jose Offerman"	0.133142
"Henry Rodriguez"	0.132677
Lankford	0.131975
"Luis Alicea"	0.131249
"Dante Bichette"	0.13079
"Darin Erstad"	0.130187
"Adam Kennedy"	0.129908
"Garret Anderson"	0.129729
"Chipper Jones"	0.12929
Knoblauch	0.129173
"Ozzie Guillen"	0.129152
"Kelly Stinnett"	0.129135
Erstad	0.12903
"Jeff Bagwell"	0.128816
"Matt Franco"	0.128671
"Trot Nixon"	0.12835
Posada	0.128348
"Cliff Floyd"	0.127911
"Devon White"	0.127906
"Scott Rolen"	0.127874
Spencer	0.127821
"Wade Boggs"	0.127688
"Ivan Rodriguez"	0.12711
"Jose Guillen"	0.126641
"Gabe Kapler"	0.126568
"Matt Williams"	0.126566
"Derrek Lee"	0.126444
"Nomar Garciaparra"	0.125956
"Damon Buford"	0.125932
"Hideki Irabu"	0.125743
"Vladimir Guerrero"	0.125518
Cirillo	0.125411
Alfonzo	0.125332
"Omar Vizquel"	0.125079
"Ramiro Mendoza"	0.12507
"Carlos Delgado"	0.124849
"Derek Bell"	0.124603
"Jason Giambi"	0.124216
"Eric Karros"	0.123228
"Tom Goodwin"	0.123132
"Butch Huskey"	0.123097
"Wally Joyner"	0.122961
"Chris Widger"	0.122444
"Dmitri Young"	0.122273
"Jeff Kent"	0.12196
"Kevin Stocker"	0.121726
"Paul Konerko"	0.121158
"Bobby Higginson"	0.120893
"Rondell White"	0.120772
"Rusty Greer"	0.120701
Higginson	0.120638
"Rickey Henderson"	0.120603
"John Mabry"	0.120454
"Brad Fullmer"	0.120076
Vidro	0.120035
"J.T Snow"	0.119716
"Kevin Jordan"	0.119708
"Ruben Rivera"	0.119575
"Tony Batista"	0.119455
McGriff	0.119417
"Todd Pratt"	0.119138
"John Jaha"	0.118839
"Benny Agbayani"	0.118639
"Craig Biggio"	0.11829
"Mark Grace"	0.1182
"Mike Lowell"	0.118151
"Joe McEwing"	0.118122
Canseco	0.117961
"Dean Palmer"	0.117885
Palmeiro	0.117749
"Andy Fox"	0.117737
"Troy O'Leary"	0.117541
"Carl Everett"	0.117518
"Will Clark"	0.117452
"Eric Davis"	0.117423
"David Ortiz"	0.117223
Karros	0.117165
"Reggie Jefferson"	0.116977
"Alex Gonzalez"	0.116972
"Bill Spiers"	0.11695
"Orlando Palmeiro"	0.116816
"Mike Bordick"	0.116688
"Carlos Beltran"	0.116406
Ledee	0.116295
"Matt Lawton"	0.116167
"Bruce Aven"	0.116068
"Cecil Fielder"	0.116053
"Alex Rodriguez"	0.116017
Tatis	0.115926
"Ron Coomer"	0.115832
"Stan Javier"	0.115718
"Andres Galarraga"	0.115624
Burnitz	0.115373
"Mike Lamb"	0.115333
"Warren Morris"	0.115264
"Eddie Taubensee"	0.115056
"Dave Hansen"	0.114932
Daubach	0.114616
"Andy Pettitte"	0.11446
Thome	0.114431
Abreu	0.114122
Spiers	0.113943
"Adrian Beltre"	0.113774
"B.J Surhoff"	0.113697
"Frank Catalanotto"	0.113142
Alicea	0.113108
"Magglio Ordonez"	0.112963
"Jay Bell"	0.11221
"Jose Vizcaino"	0.112203
"Darren Lewis"	0.112147
Glaus	0.112017
"Michael Tucker"	0.111896
"Royce Clayton"	0.111677
"Corey Koskie"	0.111674
"Mo Vaughn"	0.111557
"Andruw Jones"	0.1113
Agbayani	0.110779
"Mark McLemore"	0.110604
"Gerald Williams"	0.110442
"Geoff Jenkins"	0.110441
"Bret Boone"	0.110315
"Tony Womack"	0.110181
"Juan Gonzalez"	0.109839
"Jose Valentin"	0.109661
"Ryan Klesko"	0.109593
"Charlie Hayes"	0.109556
"Ben Grieve"	0.109537
"Randy Velarde"	0.10915
"Russ Johnson"	0.108834
"Todd Walker"	0.108227
"Shawn Green"	0.107969
"Jim Edmonds"	0.107799
Garciaparra	0.10756
"David Cone"	0.107333
"Sean Casey"	0.107204
"Javy Lopez"	0.107164
"Jeremy Giambi"	0.107161
"Mike Lieberthal"	0.107108
Alomar	0.106948
Martinez	0.106739
Saenz	0.106515
"Edgar Renteria"	0.106386
"Craig Counsell"	0.106308
"Travis Lee"	0.10629
Vaughn	0.105929
"Bobby Abreu"	0.10577
"Richie Sexson"	0.105674
"Mike Simms"	0.105652
"Brad Ausmus"	0.105588
Batista	0.105583
Giambi	0.105303
"Mark Grudzielanek"	0.10515
Girardi	0.104969
"Bernard Gilkey"	0.104894
"Travis Fryman"	0.104877
"Mike Piazza"	0.104788
Bordick	0.104115
Valentin	0.103959
Stinnett	0.103599
"Darren Bragg"	0.103572
"Brady Anderson"	0.103544
"Bubba Trammell"	0.10353
"Marquis Grissom"	0.103125
"Steve Finley"	0.102863
"Paul Molitor"	0.102791
"Al Martin"	0.102318
Bautista	0.102302
"Dave Hollins"	0.10184
"Neifi Perez"	0.101776
"Rich Aurilia"	0.101752
"Lenny Harris"	0.101684
"Herbert Perry"	0.101676
"Mike Cameron"	0.101672
"Miguel Tejada"	0.101574
"Tom Lampkin"	0.101362
"Larry Walker"	0.101328
"Tony Clark"	0.101296
Veras	0.101072
"Marvin Benard"	0.100902
"Rico Brogna"	0.100872
"Todd Zeile"	0.100806
"Roberto Alomar"	0.100767
"Kenny Lofton"	0.100761
"Doug Glanville"	0.10052
"Wil Cordero"	0.10046
"Kevin Young"	0.100345
"Fernando Tatis"	0.100286
"Keith Lockhart"	0.100249
"J.D Drew"	0.100105
"Orlando Hernandez"	0.100078
"Deivi Cruz"	0.100042
Womack	0.100024
))
("chili pepper" (desc 2610.95) (sims
chilies	0.241062
"red pepper"	0.190179
"bell pepper"	0.176753
cayenne	0.169349
chiles	0.168045
Chili	0.166507
thyme	0.163999
scallion	0.158896
"green onion"	0.155267
jalapeno	0.152785
oregano	0.152006
pepper	0.151477
"green pepper"	0.150664
cilantro	0.149255
Garlic	0.147743
parsley	0.14265
"hot pepper"	0.142496
"black pepper"	0.140753
"bay leaf"	0.140617
marjoram	0.140431
"chili powder"	0.14017
paprika	0.13971
flake	0.139316
nutmeg	0.135832
tarragon	0.132933
"water chestnut"	0.132824
"red onion"	0.132281
shallot	0.131574
chive	0.130878
ginger	0.129723
onion	0.128831
"fennel seed"	0.126514
peppercorn	0.124759
dill	0.124398
cumin	0.123973
tomatillo	0.122524
"lima bean"	0.121483
"garlic clove"	0.120407
coriander	0.1185
anchovy	0.117986
"red bell pepper"	0.117774
celery	0.115422
Basil	0.11344
clove	0.112968
turmeric	0.109958
"cayenne pepper"	0.109484
carrot	0.109221
"chili sauce"	0.108547
tomato	0.108151
mustard	0.108136
horseradish	0.107889
okra	0.107536
zucchini	0.106652
vinegar	0.106138
"lime juice"	0.106022
"hoisin sauce"	0.105627
lemongrass	0.10538
"lemon juice"	0.105023
"soy sauce"	0.104877
"pepper sauce"	0.102882
Tamarind	0.102317
chervil	0.102283
"lemon zest"	0.102219
leek	0.102122
breadcrumb	0.101891
mint	0.101161
radish	0.101045
"sesame oil"	0.100855
"cumin seed"	0.100707
"cherry tomato"	0.0996396
"orange peel"	0.0988734
rosemary	0.0981195
pimento	0.0979065
fennel	0.0975664
"food coloring"	0.0965853
"pine nut"	0.0961976
"tomato paste"	0.0960664
"shiitake mushroom"	0.0959006
wasabi	0.0946736
"mustard seed"	0.0945962
pineapple	0.0939777
"black bean"	0.092903
eggplant	0.0920014
Sage	0.0914848
"black olive"	0.0900146
"olive oil"	0.0882008
mushroom	0.0881264
spice	0.0875732
tahini	0.0874709
"brussels sprout"	0.0872615
caper	0.0871695
lime	0.0871076
cardamom	0.0857311
plantain	0.0856316
cinnamon	0.0855994
olive	0.0854273
savory	0.085019
"winter squash"	0.0842869
linguine	0.084038
"hot sauce"	0.0831186
macaroni	0.0827602
chard	0.082544
cucumber	0.0824506
bean	0.0824334
cabbage	0.0824032
"bamboo shoot"	0.0818073
seaweed	0.081452
lentil	0.081094
poinsettia	0.0810178
"star anise"	0.0808284
"orange zest"	0.080756
spinach	0.0803987
lemon	0.0803484
"tomato sauce"	0.0800943
porcini	0.0799453
"bean sprout"	0.0792726
"sweet potato"	0.0787357
"corn chip"	0.0785925
seasoning	0.0784787
fig	0.0777155
"curry powder"	0.077101
"raw vegetable"	0.0768649
salsa	0.0768623
Masa	0.0768087
"Swiss chard"	0.0766835
beet	0.0765089
herb	0.0764446
allspice	0.0755741
sprig	0.0751828
pea	0.0749863
noodle	0.0738282
Chickpea	0.0736533
"white pepper"	0.0724742
"vegetable oil"	0.0716685
avocado	0.0716176
curry	0.0714339
sherry	0.0710856
"coconut milk"	0.0710251
"Worcestershire sauce"	0.0706527
Kale	0.0703637
"green bean"	0.0702239
Parmesan	0.070125
"sesame seed"	0.0693453
calamari	0.0691317
"cider vinegar"	0.0684031
cornstarch	0.0681753
radicchio	0.0680497
"lemon peel"	0.0679909
yeast	0.0679829
rutabaga	0.0679797
Broccoli	0.0674857
"chicken broth"	0.0672633
"sweet corn"	0.0672146
"brown sugar"	0.067158
walnut	0.0670573
peanut	0.0664074
tortilla	0.0661589
chutney	0.0659664
watermelon	0.0658379
ketchup	0.0657587
watercress	0.065616
saffron	0.0655664
cantaloupe	0.0655491
Cherry	0.0653097
broth	0.0651633
"white bean"	0.0645127
plum	0.0641188
papaya	0.063934
lettuce	0.0636797
"chicken stock"	0.0635665
mango	0.0626336
crumb	0.0625741
porridge	0.062112
coconut	0.0619421
pasta	0.0614854
"orange juice"	0.061033
penne	0.0608884
hazelnut	0.0608274
soy	0.0608164
melon	0.060199
"apple juice"	0.0598138
arugula	0.0597815
vermouth	0.0595893
cauliflower	0.0595257
"baking soda"	0.0595164
honey	0.0592962
"fava bean"	0.0592629
asparagus	0.0592124
raisin	0.059174
"pinto bean"	0.0589958
"seasoned salt"	0.0589615
spaghetti	0.0586246
licorice	0.0585499
ricotta	0.0584293
pickle	0.0582157
granola	0.0582143
POTATOES	0.0579337
"baking powder"	0.0579269
truffle	0.0577848
"snow pea"	0.0577123
))
("chili powder" (desc 4427.21) (sims
paprika	0.448025
cumin	0.40461
"curry powder"	0.404209
"Worcestershire sauce"	0.400286
"cayenne pepper"	0.390936
cayenne	0.373676
turmeric	0.363521
"pepper sauce"	0.359489
oregano	0.357061
"baking powder"	0.356721
"cumin seed"	0.355486
"black pepper"	0.35147
"fennel seed"	0.339967
"tomato paste"	0.333522
"garlic salt"	0.332522
"lime juice"	0.319369
"lemon juice"	0.313647
"vanilla extract"	0.313472
"coriander seed"	0.312694
"seasoned salt"	0.309994
"Tabasco sauce"	0.308632
allspice	0.308455
thyme	0.294364
marjoram	0.291058
"mustard seed"	0.291057
"soy sauce"	0.286907
coriander	0.285536
nutmeg	0.275001
"celery seed"	0.272498
cornstarch	0.264071
peppercorn	0.262907
"baking soda"	0.262353
cinnamon	0.259864
mustard	0.257732
"sesame oil"	0.253197
vinegar	0.253167
cardamom	0.25144
"brown sugar"	0.251402
salt	0.250949
"white pepper"	0.248411
cilantro	0.248382
"cider vinegar"	0.246157
chilies	0.245826
"lemon zest"	0.239881
"bay leaf"	0.234463
"sesame seed"	0.233372
"wine vinegar"	0.231956
pepper	0.231137
Garlic	0.229021
parsley	0.227498
"olive oil"	0.225987
"almond extract"	0.222619
ginger	0.214818
"red pepper"	0.208692
flake	0.207161
powder	0.205614
Basil	0.204993
chiles	0.203794
"hot pepper"	0.199441
seasoning	0.196729
"chili sauce"	0.195774
tahini	0.195772
mayonnaise	0.192084
rosemary	0.19125
chive	0.187314
cornmeal	0.186522
jalapeno	0.18519
"hot sauce"	0.184149
vanilla	0.183858
shallot	0.180931
"chicken broth"	0.17946
"green onion"	0.178464
clove	0.178351
"coconut milk"	0.178171
honey	0.176464
"egg yolk"	0.176019
tarragon	0.17553
"bell pepper"	0.175033
"orange zest"	0.172996
"sour cream"	0.170483
mint	0.170185
dill	0.169708
onion	0.169391
molasses	0.167976
"maple syrup"	0.166197
"tomato juice"	0.164659
Chili	0.164576
"orange peel"	0.164574
"pine nut"	0.163376
horseradish	0.162289
"peanut oil"	0.16049
"red onion"	0.160448
"heavy cream"	0.159166
"vegetable oil"	0.158981
half-and-half	0.158409
Tabasco	0.158276
"orange juice"	0.157494
saffron	0.157417
"corn syrup"	0.156827
"pineapple juice"	0.152152
paste	0.151062
sugar	0.150417
flour	0.148885
scallion	0.146796
"evaporated milk"	0.146305
"tomato sauce"	0.146057
shortening	0.143939
"food coloring"	0.141857
butter	0.140774
"chili pepper"	0.14017
buttermilk	0.13857
ketchup	0.134473
tomatillo	0.134444
"beef stock"	0.133756
margarine	0.13334
caper	0.132941
"hoisin sauce"	0.132112
"green pepper"	0.132017
flavoring	0.131857
fennel	0.129019
"barbecue sauce"	0.127859
raisin	0.124538
yeast	0.124496
Sage	0.123695
spice	0.122106
"chicken stock"	0.121291
puree	0.119907
cocoa	0.11979
"cooking oil"	0.119706
crumb	0.11966
anise	0.119211
"lemon peel"	0.118647
olive	0.117907
"cream cheese"	0.117613
sherry	0.117541
anchovy	0.11681
"Grand Marnier"	0.116608
breadcrumb	0.115484
tomato	0.115423
sauce	0.114313
cheese	0.114209
almond	0.11275
lime	0.112694
currant	0.112119
gelatin	0.111712
liqueur	0.109755
"poppy seed"	0.109457
broth	0.108851
"whipping cream"	0.108064
"peanut butter"	0.107259
chutney	0.10683
ricotta	0.10671
"white wine"	0.105692
lemon	0.10305
herb	0.102723
Parmesan	0.101949
"beef broth"	0.101076
mace	0.101075
"macadamia nut"	0.100905
cream	0.100296
chervil	0.100145
celery	0.0995996
"garlic clove"	0.0986125
rum	0.09847
"black olive"	0.0982413
lemongrass	0.0974228
yogurt	0.0969584
pesto	0.0969484
juice	0.0952983
"goat cheese"	0.0942231
tequila	0.0933391
"black bean"	0.0933289
"snow pea"	0.0924681
"pumpkin seed"	0.0911534
Calvados	0.0909388
syrup	0.090464
milk	0.0904516
FETA	0.0902745
sprig	0.0900337
cider	0.0899879
starch	0.0891148
vinaigrette	0.0890041
Serrano	0.088905
avocado	0.0885458
lentil	0.0878888
zucchini	0.0874927
"condensed milk"	0.0868886
tapioca	0.0865653
zest	0.0854075
kosher	0.0853814
"egg white"	0.0850469
coconut	0.084275
pinch	0.0827111
cucumber	0.082348
Liquid	0.0820344
"cottage cheese"	0.0810845
mushroom	0.0808554
"dried fruit"	0.0802983
yolk	0.0790893
"star anise"	0.078485
))
("chili sauce" (desc 1928.41) (sims
"Worcestershire sauce"	0.248136
"tomato paste"	0.242219
"hoisin sauce"	0.239822
"cider vinegar"	0.238219
ketchup	0.226978
"sesame oil"	0.22124
"soy sauce"	0.216523
"peanut oil"	0.213321
"wine vinegar"	0.20776
"lime juice"	0.204881
horseradish	0.201873
"pepper sauce"	0.201807
"brown sugar"	0.199555
"chili powder"	0.195774
mustard	0.19151
"curry powder"	0.185993
"lemon juice"	0.185053
vinegar	0.175522
"corn syrup"	0.169758
tahini	0.16747
"barbecue sauce"	0.163872
half-and-half	0.163756
"Tabasco sauce"	0.163385
"coconut milk"	0.162383
buttermilk	0.162205
"whipping cream"	0.162049
"Grand Marnier"	0.161856
"pineapple juice"	0.161425
molasses	0.157446
"chicken broth"	0.156361
paste	0.153425
"heavy cream"	0.153258
"maple syrup"	0.151622
"hot sauce"	0.150589
paprika	0.149591
shallot	0.146247
"white wine"	0.145913
"red pepper"	0.144537
mayonnaise	0.143039
sherry	0.142652
"sour cream"	0.141952
"beef stock"	0.141864
"hot pepper"	0.139968
chutney	0.139691
"tomato juice"	0.136817
honey	0.136234
"white pepper"	0.135673
"orange marmalade"	0.135514
cornstarch	0.134166
turmeric	0.13318
"seasoned salt"	0.131932
"sesame seed"	0.131671
cilantro	0.131375
"black bean"	0.1297
oregano	0.129192
tarragon	0.128595
shortening	0.127419
"celery seed"	0.124987
cornmeal	0.124602
"evaporated milk"	0.124588
"coriander seed"	0.124284
cumin	0.124217
"olive oil"	0.124133
"pine nut"	0.123403
peppercorn	0.122702
thyme	0.122606
"orange juice"	0.122355
chiles	0.12223
marjoram	0.121863
"orange zest"	0.121485
onion	0.121023
chilies	0.120765
"chicken stock"	0.12061
"beef broth"	0.12
sauce	0.118025
"tomato sauce"	0.117638
cinnamon	0.116244
"vanilla extract"	0.115939
"bell pepper"	0.115867
parsley	0.115278
"snow pea"	0.11487
"green onion"	0.114322
"vegetable oil"	0.114186
Garlic	0.113939
liqueur	0.113704
currant	0.113257
"mustard seed"	0.112988
"peanut butter"	0.112006
ginger	0.111967
"baking powder"	0.111569
cayenne	0.111528
cider	0.111396
rosemary	0.110598
brandy	0.110579
"egg yolk"	0.109197
"chili pepper"	0.108547
"baking soda"	0.10841
Chili	0.108304
chive	0.106588
"fennel seed"	0.10615
bourbon	0.1061
Zinfandel	0.105138
allspice	0.104201
"black pepper"	0.103982
puree	0.103962
"green pepper"	0.103366
"food coloring"	0.103277
pickle	0.102457
jalapeno	0.102305
broth	0.102211
vermouth	0.101753
ricotta	0.101706
"pumpkin seed"	0.101486
"apple juice"	0.101353
rum	0.101215
butter	0.100684
caper	0.100063
"red wine"	0.0998943
raisin	0.0994974
flour	0.0993306
panko	0.0992937
"cumin seed"	0.0979213
vinaigrette	0.0973868
Basil	0.0973097
syrup	0.0971548
"Swiss chard"	0.096219
"almond extract"	0.0956431
dill	0.0956127
margarine	0.0954994
"lemon zest"	0.0952223
crumb	0.0937746
"black olive"	0.0920252
"cayenne pepper"	0.0917209
"red onion"	0.0902311
clove	0.0901324
marinade	0.0897658
salsa	0.0896052
"poppy seed"	0.0891256
vanilla	0.0882378
"lemon peel"	0.0879903
almond	0.0878738
yogurt	0.0876028
powder	0.0874752
celery	0.0872899
lemongrass	0.0866636
"salad dressing"	0.0866114
flake	0.0865879
"cream cheese"	0.0865468
seasoning	0.0865
scallion	0.0864155
olive	0.0863873
"bok choy"	0.0863434
pecan	0.0863105
mint	0.0859532
tequila	0.0834133
raspberry	0.0831444
"bay leaf"	0.0828443
lentil	0.0820274
Calvados	0.0818354
radish	0.0814994
cocoa	0.0803774
"white rice"	0.0801249
"condensed milk"	0.0794553
lime	0.0788657
fennel	0.0783098
wasabi	0.0782034
sauerkraut	0.0768211
canola	0.0767834
apricot	0.0766142
"cooking oil"	0.0765709
"cottage cheese"	0.0762763
"skim milk"	0.0759282
miso	0.0758993
dressing	0.075643
nutmeg	0.0751527
cabbage	0.0750218
Tabasco	0.0746986
coriander	0.0744054
tapioca	0.0743004
kernel	0.0742226
nectar	0.0734471
"cherry tomato"	0.0732457
Parmesan	0.0729628
"dried fruit"	0.0723698
Tamale	0.0721801
fraiche	0.071938
Kale	0.0719043
blueberry	0.0716832
RHUBARB	0.070868
"macadamia nut"	0.0708532
breadcrumb	0.0704306
"ice water"	0.0699406
jelly	0.0698872
flavoring	0.0698304
applesauce	0.0697712
"cranberry juice"	0.0694609
walnut	0.0688265
peanut	0.0687325
tomatillo	0.0682592
pineapple	0.0682248
))
(chilies (desc 6758.52) (sims
chiles	0.376596
"bell pepper"	0.308946
jalapeno	0.287116
cilantro	0.27848
pepper	0.277925
shallot	0.25124
cumin	0.250872
"red pepper"	0.248879
"chili powder"	0.245826
parsley	0.244419
Chili	0.243441
"chili pepper"	0.241062
Garlic	0.240348
scallion	0.238637
"red onion"	0.236696
"green onion"	0.227441
"green pepper"	0.226161
ginger	0.224654
onion	0.224589
Basil	0.224421
"garlic clove"	0.222915
oregano	0.221214
coriander	0.219949
chive	0.218162
thyme	0.216737
tomato	0.215905
"bay leaf"	0.211406
cayenne	0.205227
fennel	0.198155
lemongrass	0.196405
"lime juice"	0.196321
marjoram	0.195792
tarragon	0.194697
mint	0.188168
peppercorn	0.187755
turmeric	0.185164
cucumber	0.184829
anchovy	0.182962
celery	0.179352
"water chestnut"	0.178649
mushroom	0.176258
"black bean"	0.175985
"lemon juice"	0.173828
tomatillo	0.173647
clove	0.172996
dill	0.171809
paprika	0.171427
olive	0.170224
carrot	0.170084
allspice	0.169975
"red bell pepper"	0.169389
nutmeg	0.169321
avocado	0.164994
"black olive"	0.164531
"pepper sauce"	0.164489
mustard	0.164264
vinegar	0.16418
eggplant	0.163488
"shiitake mushroom"	0.162682
rosemary	0.162405
"hot pepper"	0.161548
"coconut milk"	0.160689
"plum tomato"	0.158675
horseradish	0.157929
flake	0.156768
"curry powder"	0.154452
"black pepper"	0.154452
leek	0.153843
"fennel seed"	0.153293
herb	0.152795
"lemon zest"	0.150187
zucchini	0.149747
lettuce	0.146743
radish	0.14512
"olive oil"	0.144787
pineapple	0.142214
spinach	0.14113
salt	0.140763
"tomato paste"	0.139208
"mustard seed"	0.138829
"star anise"	0.137469
"pine nut"	0.137384
"cumin seed"	0.137055
"Worcestershire sauce"	0.135596
lemon	0.135489
chervil	0.134497
mayonnaise	0.13448
cinnamon	0.133528
cardamom	0.133458
shrimp	0.13343
Sage	0.132867
cheese	0.131803
asparagus	0.131184
spice	0.130872
cabbage	0.130646
bacon	0.130414
"cayenne pepper"	0.13031
lime	0.129683
"lima bean"	0.128636
coconut	0.128356
"bean sprout"	0.127823
"tomato sauce"	0.126718
"soy sauce"	0.126601
almond	0.126453
ham	0.126234
"sesame oil"	0.125295
watercress	0.125196
Chickpea	0.123479
"orange zest"	0.121691
mango	0.121165
breadcrumb	0.121058
bean	0.120991
"chili sauce"	0.120765
caper	0.120274
pancetta	0.119449
papaya	0.119223
artichoke	0.119147
fig	0.118704
salsa	0.118561
sauce	0.118389
beet	0.11777
potato	0.117646
pea	0.116818
Parmesan	0.116768
pork	0.116356
sausage	0.116152
arugula	0.115919
broth	0.113992
"sour cream"	0.113225
okra	0.113213
"tomato juice"	0.111554
"chicken broth"	0.111058
tahini	0.109452
paste	0.109121
"sesame seed"	0.108403
chutney	0.108398
noodle	0.108352
mozzarella	0.108158
pimento	0.107788
"brown sugar"	0.10767
sauerkraut	0.106578
"cherry tomato"	0.105326
lentil	0.105107
peanut	0.104944
pickle	0.104529
juice	0.104478
"green bean"	0.104367
prosciutto	0.104268
sprig	0.104108
raisin	0.103109
seasoning	0.103012
radicchio	0.103008
saffron	0.10264
"sweet potato"	0.102424
vegetable	0.102386
chicken	0.101963
yogurt	0.10165
"hard-boiled egg"	0.100518
cashew	0.100394
powder	0.10029
"bok choy"	0.100126
puree	0.100114
"orange peel"	0.100061
seaweed	0.0997517
hazelnut	0.0996123
Broccoli	0.0995787
"pumpkin seed"	0.0992121
"garlic salt"	0.0989683
"seasoned salt"	0.0988685
turnip	0.0988145
walnut	0.0985082
squash	0.0980547
cauliflower	0.0976
ricotta	0.0974072
pear	0.0973186
pecan	0.0971747
chard	0.0970128
Kale	0.0959611
vinaigrette	0.0957693
"Tabasco sauce"	0.0952255
tortilla	0.0951362
"celery seed"	0.094993
veggie	0.0944537
plantain	0.0944236
butter	0.0943964
slice	0.0943265
fruit	0.0938042
"egg yolk"	0.0937014
"coriander seed"	0.0935761
leaf	0.0933641
"orange juice"	0.0931059
"white pepper"	0.0928444
sugar	0.092323
egg	0.092235
zest	0.0920876
Tamarind	0.0920227
honey	0.091339
salami	0.0912562
clam	0.0905309
"goat cheese"	0.0898845
))
(chill (desc 21220.4) (sims
shiver	0.134665
cold	0.127879
stomachache	0.10832
"skin rash"	0.103781
shudder	0.102942
nausea	0.0966359
ache	0.0965254
"sore throat"	0.0923429
cramp	0.0917611
temperature	0.0912511
dizziness	0.0909682
"air mass"	0.0906516
shockwaves	0.0880842
fever	0.0876813
vomiting	0.0872694
headache	0.0868429
breeze	0.085974
snowstorm	0.0823295
Snowfall	0.0818074
drizzle	0.0814689
fog	0.0808085
weather	0.0798188
cough	0.0798175
"cold snap"	0.0796886
wind	0.0796814
chills	0.07957
sunshine	0.0779858
"shock wave"	0.0778027
gloom	0.0766372
Frost	0.0762948
jolt	0.0756656
darkness	0.0755171
downpour	0.0754526
mist	0.0749867
shortness	0.0748001
constipation	0.0741008
rain	0.0737107
humidity	0.0726829
malaise	0.0721486
thaw	0.0715302
"cold weather"	0.0705236
snow	0.069602
palpitation	0.0683829
irritability	0.0673348
warmth	0.0673322
cloud	0.0664188
heat	0.0663576
"high temperature"	0.0663266
fatigue	0.0662418
gale	0.0661504
rash	0.0659898
sleet	0.0656475
tremor	0.0654814
coughing	0.0652986
gust	0.0649906
diarrhea	0.0645511
precipitation	0.0642765
dehydration	0.0642643
"chest pain"	0.063974
storm	0.062766
pain	0.0626199
Ripple	0.0623616
Haze	0.0618522
"rain shower"	0.0616668
"cold front"	0.0612982
numbness	0.0612338
"heat wave"	0.061193
discomfort	0.0611274
coldness	0.0604758
"cold wave"	0.0603782
flu	0.0603685
disorientation	0.0603525
rainfall	0.0599759
blizzard	0.0595835
moisture	0.0594929
"high tide"	0.0594899
jitters	0.0593906
sweating	0.0593204
rainstorm	0.0586039
hush	0.0568275
shower	0.0565843
Thunderstorm	0.0560669
dryness	0.055922
"low temperature"	0.0553949
stiffness	0.0552215
Exhaustion	0.0547028
heartburn	0.0546869
diarrhoea	0.0539754
slush	0.0536651
sunlight	0.0534888
migraine	0.0533377
lethargy	0.0531005
"ice storm"	0.0527551
irritation	0.0524733
vibration	0.0523488
anxiety	0.0522883
insomnia	0.0522423
"back pain"	0.0521631
confusion	0.0519907
smell	0.0517902
smog	0.0515211
glow	0.0512651
downturn	0.0503416
permafrost	0.0500995
selloff	0.0495708
nervousness	0.0494896
swelling	0.0494522
"dust storm"	0.049322
symptom	0.049316
misery	0.0488823
odor	0.0485171
Sky	0.0484312
excitement	0.0481364
drought	0.0480829
frisson	0.0475154
dust	0.0473692
hangover	0.0470219
whiff	0.0470027
panic	0.0469063
trauma	0.046737
inflammation	0.0467368
suspense	0.0466714
twilight	0.0466649
reverberation	0.0464687
squall	0.0463032
turbulence	0.0461449
bruise	0.046104
visibility	0.0460929
weakness	0.045974
"hot weather"	0.0455151
Depression	0.0455058
bitterness	0.0453649
noise	0.0453284
inkling	0.0452955
stillness	0.0451309
breath	0.0447686
sensation	0.0447627
"blood pressure"	0.0445117
paralysis	0.0443053
infection	0.0440626
pall	0.044048
"flash flood"	0.0440152
reading	0.0439993
buzz	0.0438288
ovation	0.0437803
"weather conditions"	0.0435972
blackout	0.0435145
"memory loss"	0.043485
tornado	0.043339
flurry	0.0432965
downdraft	0.0432204
sell-off	0.0431067
euphoria	0.0430738
windstorm	0.0430048
tension	0.0429791
hardship	0.0428402
bronchitis	0.0428202
nightmare	0.0427995
delirium	0.0427653
"ocean current"	0.042581
sore	0.0425692
disappointment	0.0423044
"high blood pressure"	0.0422361
uneasiness	0.0422007
recession	0.0421505
stigma	0.0420146
poignancy	0.0419579
tenderness	0.0418119
pessimism	0.0417289
blister	0.0415736
congestion	0.0415388
crunch	0.0415228
"low pressure"	0.0414348
"high water"	0.0414197
onset	0.0413361
soreness	0.041322
"air current"	0.0409607
pneumonia	0.0404775
influenza	0.0404416
convulsion	0.0402931
deluge	0.0402841
sadness	0.0402252
agony	0.0402198
volatility	0.0400081
))
(chills (desc 2034.77) (sims
shortness	0.13073
dizziness	0.125987
stomachache	0.124126
vomiting	0.122718
sweating	0.0972758
cramp	0.096148
"skin rash"	0.0950965
nausea	0.0924707
comeuppance	0.0885724
palpitation	0.0883628
"upset stomach"	0.0877361
"sore throat"	0.0830168
constipation	0.0830027
drowsiness	0.0791024
Striver	0.0789365
insomnia	0.0763232
disorientation	0.0721492
diarrhea	0.0716399
pratfalls	0.0709725
coughing	0.0687407
numbness	0.0663802
bronchitis	0.0640911
"memory loss"	0.0636154
nosebleed	0.0634161
irritability	0.0564051
indigestion	0.0555474
Dysentery	0.0539664
jamboree	0.0539064
stiffness	0.0535734
lethargy	0.053105
diarrhoea	0.0502108
idealist	0.0490569
"Tom Selleck"	0.0486801
heartburn	0.0483443
"chest pain"	0.0479453
"sight gag"	0.0476445
gastroenteritis	0.0473702
nervousness	0.0467219
heartache	0.046641
"goose bumps"	0.0465105
"sailing vessel"	0.044744
"speeding ticket"	0.0432657
crowd-pleaser	0.042564
puzzlement	0.0423975
"storm cloud"	0.0420064
sport-utility	0.0419311
"back pain"	0.0416153
tiredness	0.0404691
trespasser	0.0403886
rawness	0.0402045
))
(chilly (desc 2679.58) (sims
"chili pepper"	0.0890968
chilies	0.0887443
cooler	0.0735275
"bell pepper"	0.073522
"about @@ degrees"	0.0726403
"pepper sauce"	0.0709273
warmer	0.0676707
chiles	0.0674608
Crescent	0.0666315
"food coloring"	0.066335
"green pepper"	0.0651354
clapping	0.0647823
"hot pepper"	0.0644208
warmest	0.0615644
"chili sauce"	0.0609677
loony	0.0605503
indigo	0.0605039
"Swiss chard"	0.0601185
Shiva	0.0593802
"lima bean"	0.0593026
"sweet corn"	0.0584278
"piece of cloth"	0.0569587
"Chinese cabbage"	0.0557462
Pugh	0.0555105
marjoram	0.0553604
"chili powder"	0.0542452
"Star of David"	0.0534643
antsy	0.0534593
flake	0.0532572
"beef broth"	0.0530556
Chili	0.052967
seaweed	0.0528803
tilapia	0.0527806
"over $@@ billion"	0.0526862
peppercorn	0.0522537
Kale	0.0515948
radish	0.0512044
"tile roof"	0.0509213
ginseng	0.0508645
led	0.0508387
oregano	0.0502642
pea	0.0501989
tarragon	0.0500554
leek	0.0496711
"water chestnut"	0.0495733
horseradish	0.0495291
cabbage	0.0493245
poinsettia	0.0492656
"bay leaf"	0.0488493
buckwheat	0.0487896
jalapeno	0.0487179
"Toyota Corolla"	0.0486751
celery	0.0485966
chaise	0.0485822
thyme	0.0484013
double-decker	0.0483566
lettuce	0.047891
"white bean"	0.0475116
porcini	0.0473351
ketchup	0.0473206
"black olive"	0.0470084
radicchio	0.0469278
Sage	0.046428
papaya	0.0461785
"shiitake mushroom"	0.0461217
"clock tower"	0.0456183
"cherry tomato"	0.0455998
"green onion"	0.0454505
"manor house"	0.0453631
"Beanie Baby"	0.0453369
"coffee bean"	0.045111
toolbox	0.0450968
"M&AMP;M"	0.0449098
cauliflower	0.044841
"playing card"	0.0447653
lentil	0.0447616
"boxing glove"	0.044684
goo	0.0446245
carnation	0.0444913
pasty	0.0443171
"small fortune"	0.0442311
upfield	0.0440898
"great deal"	0.0440161
Jell-O	0.0439241
knapsack	0.0438256
drier	0.0438215
lollipop	0.0436843
zucchini	0.0436067
watermelon	0.0433006
TCM	0.0429702
clove	0.0429281
"brussels sprout"	0.0428976
sumac	0.042793
eggplant	0.0427782
raindrop	0.0425401
jerky	0.0424613
"Bordeaux wine"	0.0423763
"tomato sauce"	0.0423123
bandana	0.0421937
blotch	0.0421638
e-BOOKS	0.0421443
"over $@,@@@"	0.0420685
chard	0.0420157
okra	0.0419861
nutmeg	0.0419767
"string bean"	0.0418543
"telephone booth"	0.0417412
"red pepper"	0.0415686
Blaylock	0.0411512
"Honda Civic"	0.0411471
diode	0.0409571
"cayenne pepper"	0.0409436
slaw	0.0409191
"Disney Channel"	0.0407155
pigment	0.0407008
vermouth	0.0406877
suspender	0.0406852
sharper	0.0406293
scallion	0.0405312
"Ford Mustang"	0.0404412
anemone	0.04044
Chickpea	0.0404157
heath	0.0404073
macaroni	0.0401837
bandanna	0.0401411
chorizo	0.0401297
Dumpsters	0.0400941
))
(Chiluba (desc 8567.24) (sims
Mkapa	0.26787
Museveni	0.233182
Chissano	0.216884
Moi	0.198988
Ikimi	0.187494
Zou	0.186544
Mbeki	0.185542
Nujoma	0.183419
Nazarbayev	0.182359
Clerides	0.181035
Kasoulides	0.180394
Kuchma	0.179356
Mandela	0.178927
Deuba	0.177851
Goh	0.175388
Stoyanov	0.174746
Abubakar	0.173912
Mugabe	0.173137
Wolfensohn	0.171771
Guterres	0.171376
Meles	0.169466
Velayati	0.169445
Hasina	0.168681
Chirac	0.167888
Dini	0.167543
Qiao	0.166103
Chuan	0.163948
Kumaratunga	0.163136
Pangalos	0.162724
"de Charette"	0.16199
Camdessus	0.160658
Chavalit	0.160624
Sumaye	0.160246
Simitis	0.159727
Qian	0.158675
Gujral	0.158457
Nzo	0.157903
Rakhmonov	0.157534
Phieu	0.157306
Alatas	0.156235
Mubarak	0.155717
Ahtisaari	0.155415
Jayakumar	0.155379
Muluzi	0.1551
Cem	0.15505
Wahid	0.154363
Ecevit	0.154095
Lipponen	0.153245
Boueiz	0.152567
Ikeda	0.151958
"Than Shwe"	0.150741
Moratinos	0.150428
Komura	0.150395
Santer	0.150341
Gowda	0.149288
Ogata	0.148879
Klima	0.148742
Ivanov	0.147885
Leghari	0.147819
"Meles Zenawi"	0.147635
Sergeyev	0.147274
Kharrazi	0.147156
Menem	0.147053
Meguid	0.146283
Obasanjo	0.14601
Tsang	0.145952
Frei	0.145506
"Chuan Leekpai"	0.145445
Lukashenko	0.144961
Solana	0.144848
Kinkel	0.144842
Rifkind	0.144785
Sharif	0.144178
"Mesut Yilmaz"	0.14329
Khai	0.14316
Hu	0.143015
Akayev	0.142612
Fu	0.142487
Jiang	0.14206
Hariri	0.141581
Aznar	0.141254
Tung	0.141001
Banharn	0.140748
Kostov	0.140603
Prodi	0.13937
Annan	0.139319
Rabbani	0.138934
Abdel-Meguid	0.138556
Peres	0.138421
Chretien	0.138393
Moussa	0.138381
Vedrine	0.137773
Gaddafi	0.137685
Khatami	0.137034
Zhu	0.136951
Constantinescu	0.136845
Saleh	0.136801
Estrada	0.136004
Ruehe	0.1356
Nyerere	0.135543
Azad	0.135465
Malu	0.13523
Vajpayee	0.135227
Demirel	0.134798
Shi	0.134185
Kaunda	0.134116
"Deve Gowda"	0.134041
Pustovoitenko	0.1338
Salim	0.133774
Buyoya	0.133273
Kok	0.132761
wen	0.132758
Dehaene	0.132387
Scalfaro	0.132344
Klestil	0.132227
Hashimoto	0.13214
Koirala	0.131742
Denktash	0.131712
Shevardnadze	0.131295
Rafsanjani	0.131233
Majali	0.130639
Niyazov	0.130488
Brundtland	0.130469
Erbakan	0.130322
Kabariti	0.130304
"Dos Santos"	0.130148
Brittan	0.12981
Ahern	0.12969
Juma	0.129642
"Li Peng"	0.129505
Khamenei	0.129218
Buthelezi	0.12921
Jospin	0.12916
Yilmaz	0.12912
Luong	0.129028
Boutros-Ghali	0.128332
Aziz	0.128295
Rong	0.127978
Jovanovic	0.127177
"Chavalit Yongchaiyudh"	0.127025
Rua	0.127001
Siazon	0.126279
Zuma	0.126001
Mahathir	0.125908
Blair	0.125586
Granic	0.125259
"Frederick Sumaye"	0.12502
Narayanan	0.124877
Weizman	0.124375
Gurirab	0.124307
Talbott	0.124149
Kabbah	0.124063
al-Sahhaf	0.12394
Ramos	0.123906
"King Sihanouk"	0.123773
Insulza	0.123575
Orban	0.123515
Khaddam	0.123231
Kyprianou	0.122874
"Sher Bahadur Deuba"	0.122538
Diouf	0.122276
Primakov	0.122269
Juppe	0.122245
Shipley	0.122244
D'Alema	0.121866
Chi	0.121454
Masire	0.121015
Hoss	0.120867
Vasile	0.120632
Nano	0.120418
Musharraf	0.12041
Barshefsky	0.120247
Axworthy	0.119974
Bashir	0.119759
Kwasniewski	0.119598
Cardoso	0.118854
"Romano Prodi"	0.11802
Samper	0.117935
Luo	0.117513
Schroeder	0.117448
Pickering	0.117382
Karimov	0.117361
Berri	0.117027
Bizimungu	0.116913
"Speaker Ali Akbar Nateq-Nouri"	0.116537
Bedie	0.116498
Zeng	0.116436
"Bulent Ecevit"	0.116436
Vice-Premier	0.116209
Bolger	0.1162
Bulatovic	0.115988
"Jean Chretien"	0.115942
Aventajado	0.115731
Zeroual	0.115635
Aleman	0.115583
Azizah	0.115503
Ghali	0.115472
Bouteflika	0.115151
Arafat	0.115012
"Atal Bihari Vajpayee"	0.114878
"Sheikh Hasina"	0.114728
"Lionel Jospin"	0.114543
Tsvangirai	0.114518
Wu	0.114457
"Bertie Ahern"	0.11444
"Hun Sen"	0.11413
Wei	0.114111
Sihanouk	0.114084
Surin	0.113869
Hrawi	0.113797
Beye	0.113486
Li	0.113457
"King Abdullah II"	0.113338
Albright	0.113215
"Kim Jong Il"	0.113181
Tian	0.113033
al-Bashir	0.112976
"Javier Solana"	0.11251
"Atal Behari Vajpayee"	0.112477
Izetbegovic	0.112477
Obuchi	0.112029
Shareh	0.112024
"Keizo Obuchi"	0.111795
"Yoshiro Mori"	0.111417
Herzog	0.111325
"William Cohen"	0.110913
Ganzouri	0.110762
Muoi	0.110389
"Benazir Bhutto"	0.110074
"Lee Hsien Loong"	0.109968
Stepashin	0.109852
Lahoud	0.109825
"John Major"	0.109749
Pastrana	0.109684
Nasrallah	0.109483
"Prime Minister Banharn Silpa-Archa"	0.109083
Klerk	0.109001
Rawabdeh	0.108963
Fischer	0.108679
Kiriyenko	0.108592
Bildt	0.108555
Yeltsin	0.108204
Ruggiero	0.108159
"King Fahd"	0.108113
"Binyamin Netanyahu"	0.107951
Mordechai	0.107924
"Rafik Hariri"	0.107912
"Kofi Annan"	0.107684
tang	0.107675
Holl	0.107498
Kohl	0.107424
Husseini	0.107359
"Mahathir Mohamad"	0.107232
Abdullah	0.106591
Zhirinovsky	0.106553
Tarawneh	0.106502
"Chea Sim"	0.10642
"Goh Chok Tong"	0.106338
Blatter	0.106304
Berisha	0.106235
"Secretary General Esmat Abdul-Meguid"	0.105573
"Yevgeny Primakov"	0.105535
al-Sahaf	0.105424
"Secretary-General Boutros Boutros-Ghali"	0.105152
Dodik	0.105048
"Jonas Savimbi"	0.104932
"Laurent Kabila"	0.104913
Zedillo	0.104883
Kabila	0.10488
Sampaio	0.104833
Milutinovic	0.104817
Habibie	0.10476
Jia	0.104582
Putin	0.104458
Rodionov	0.10408
Stroyev	0.103988
"Pascoal Mocumbi"	0.103964
"Jiang Zemin"	0.103819
"Pandeli Majko"	0.10377
Chernomyrdin	0.103722
Tudjman	0.1037
Rawlings	0.103684
Daley	0.103603
Kim	0.103325
"Chief Executive Tung Chee-hwa"	0.103276
Bruton	0.103237
"Phan Van Khai"	0.103034
"Viktor Chernomyrdin"	0.103008
Advani	0.102981
Sha	0.102966
Vollebaek	0.102949
Alarcon	0.102218
Brahimi	0.102028
"Ehud Barak"	0.101965
"Maung Aye"	0.101776
Plavsic	0.101671
Cohen	0.101601
"Jenny Shipley"	0.101541
"King Norodom Sihanouk"	0.10152
Harmoko	0.101379
"Khin Nyunt"	0.101372
"Inder Kumar Gujral"	0.101355
"Nawaz Sharif"	0.101318
Patasse	0.101293
Ranariddh	0.101284
"William Perry"	0.100939
"Jose Maria Aznar"	0.100928
"Jacques Chirac"	0.100835
"Necmettin Erbakan"	0.100545
"Li Ruihuan"	0.100506
))
(Chilukki (desc 3037.58) (sims
"Banshee Breeze"	0.305955
"Excellent Meeting"	0.275932
Silverbulletday	0.239731
Surfside	0.22069
"Favorite Trick"	0.209148
"Prime Timber"	0.197945
Daylami	0.191384
Artax	0.183938
"River Keen"	0.179974
Behrens	0.170863
"Forest Camp"	0.161111
"Beautiful Pleasure"	0.15334
Menifee	0.14561
Malek	0.140824
"Real Quiet"	0.133824
"Fusaichi Pegasus"	0.132572
"Silver Charm"	0.132349
"High Yield"	0.131825
"Ecton Park"	0.125283
"Skip Away"	0.124561
filly	0.123308
"Juvenile Fillies"	0.123234
"Red Bullet"	0.123153
charismatic	0.1202
"Lemon Drop Kid"	0.119512
"Puerto Madero"	0.118851
"Victory Gallop"	0.1179
"Worldly Manner"	0.116524
"Winning Colors"	0.114718
gelding	0.11406
"Johnny Tapia"	0.110591
"Desert Hero"	0.110102
"Cash Run"	0.107699
"Answer Lively"	0.105473
"Cat Thief"	0.105445
colt	0.103959
"Free House"	0.103399
"Running Stag"	0.100465
Anees	0.0992054
"War Chant"	0.0940459
ruffian	0.0928494
Lehigh	0.0908958
"Old Trieste"	0.0893584
"Stephen Got Even"	0.0884619
"Deon Hemmings"	0.0875367
"Seibu Lions"	0.0859364
mare	0.0851177
Devers	0.0830799
Budroyale	0.0830369
stablemate	0.0828231
"Koji Ito"	0.0817981
"Awesome Again"	0.0811353
"Maria Mutola"	0.0809512
"Roger Federer"	0.0788984
Klim	0.0788395
"Michael Grant"	0.0783156
"Oscar De La Hoya"	0.0759403
thoroughbred	0.0758167
Flanders	0.0738473
"Michelle Kwan"	0.0736789
Wondertross	0.0735866
Boldon	0.0728979
Nicol	0.0726593
vicar	0.0726481
"Yokohama Baystars"	0.0724496
Trippi	0.072305
"Christine Arron"	0.0717463
"Penny Heyns"	0.0716818
"Susie O'Neill"	0.0715005
"Ike Quartey"	0.0714557
Valhol	0.0706319
aptitude	0.0706147
"Ivan Lendl"	0.07028
Adonis	0.0699517
"Frankie Fredericks"	0.0686379
gentlemen	0.0683422
Sion	0.0682458
"Touch Gold"	0.0677711
Eliza	0.0675084
"quarter horse"	0.067339
Sanchez-Vicario	0.066841
trotter	0.0662528
"Hicham El Guerrouj"	0.0661853
Tapia	0.0661294
Arazi	0.0659898
Popov	0.0659731
"Yayuk Basuki"	0.0651306
"Regina Jacobs"	0.0651297
"Dominique Van Roost"	0.0647383
"Hilde Gerg"	0.064671
Chebet	0.0642155
"A.P Indy"	0.06407
"Gunda Niemann-Stirnemann"	0.0639676
Kafelnikov	0.0636829
"Alex Solis"	0.0631998
"Baltimore Colts"	0.0631318
"Thomas Stangassinger"	0.0630599
"Oliver McCall"	0.0627354
Tuzla	0.0626691
"Minnesota Vikings"	0.0625839
"straight man"	0.0625483
"Miguel Indurain"	0.0624562
"Bob Baffert"	0.0623536
"Rodney Eyles"	0.0619814
"Paul Tergat"	0.0612928
"Erik Morales"	0.0608957
"Maria Butyrskaya"	0.0603888
"Dong Jiong"	0.0603544
Razorback	0.0603333
"Maurice Greene"	0.0598127
"Marc Rosset"	0.059582
Wolverine	0.0595777
"Cathy Freeman"	0.0594936
"Tar Heels"	0.059484
"Tatiana Panova"	0.0594594
Longo	0.0593272
"Alexei Nemov"	0.0592592
Sainz	0.0591793
"Li Xuemei"	0.0587197
"Fiona May"	0.058647
"Bobby Labonte"	0.0585977
"Kansas State"	0.0583888
"Kieren Perkins"	0.0582483
"Mahesh Bhupathi"	0.0579759
"Jelena Dokic"	0.0578679
"Wang Junxia"	0.0577683
"Kenny Brack"	0.0574273
"Patty Schnyder"	0.0574121
"Magnus Gustafsson"	0.0573104
"Hale Irwin"	0.0573094
"Greg Ray"	0.0572027
Kuerten	0.0571601
"Gail Devers"	0.0571404
"Seattle Slew"	0.0570432
"Johan Museeuw"	0.0567428
"Georgia Southern"	0.0566447
"Larry Nelson"	0.0564846
"Red Star"	0.0560818
"Annika Sorenstam"	0.0560662
"Ai Sugiyama"	0.05603
"Mariano Zabaleta"	0.0560012
"Chicago Fire"	0.0560004
"Alberto Tomba"	0.0558273
"Garry Kasparov"	0.0558264
"Shane Mosley"	0.055761
Jansher	0.0556895
Cornhusker	0.0556839
"Eddie Cheever"	0.0552351
Kjus	0.0552134
Musashimaru	0.0552125
Szabo	0.0550632
Ullrich	0.0545782
"Thomas Enqvist"	0.0545021
"Sergi Bruguera"	0.0544535
Serena	0.0544387
"Byron Black"	0.054434
"Petr Korda"	0.0544321
"Anita Wachter"	0.0543734
Loroupe	0.0543161
"two @@-year-olds"	0.0543088
"Albert Portas"	0.054289
Waldner	0.0540362
Aamodt	0.0539813
"World News Tonight"	0.0539805
Krayzelburg	0.0539311
"Wang Liqin"	0.0538468
"Steffi Graf"	0.0537804
Kelso	0.0537768
"Sebastien Lareau"	0.0534338
Gremio	0.0533802
"Julie Halard-Decugis"	0.0533079
"Fabrice Santoro"	0.0533015
"Guo Jingjing"	0.0531388
"Jean-Philippe Gatien"	0.0531142
Kiefer	0.0530469
Doohan	0.0529848
"Ato Boldon"	0.0529594
"Boris Becker"	0.0529446
Takanonami	0.0529235
Faldo	0.0528406
Neumann	0.0527497
"Renzo Furlan"	0.0527355
"blue devil"	0.0527149
"Francisco Clavet"	0.052631
"race horse"	0.0526121
"Arnaud Di Pasquale"	0.0525293
"Virginia Tech"	0.0524864
Edberg	0.0524711
Ivanisevic	0.0523702
"Denver Broncos"	0.0523692
"Young America"	0.0523154
"Wang Tao"	0.0522998
Utes	0.0522787
"New York Liberty"	0.0522577
"Tamarine Tanasugarn"	0.0521105
Tanui	0.0520633
Mantilla	0.0520426
"John Henry"	0.0519859
"Carlos Sainz"	0.0518519
"Marco Pantani"	0.0517581
))
(Chime (desc 5681.19) (sims
cymbal	0.109881
"church bell"	0.0979725
cowbell	0.09516
ringing	0.0867447
"alarm bell"	0.0814974
bagpipe	0.079826
Gong	0.0746358
drum	0.0719568
Flute	0.0704266
whistling	0.070097
percussion	0.0667842
harp	0.0667262
"cash register"	0.0662865
doorbell	0.0657194
buzzer	0.0645623
gunshot	0.0629167
"fire alarm"	0.0627858
Siren	0.0573966
trellis	0.0563456
harmonica	0.0548905
"electric guitar"	0.054717
"death knell"	0.0545454
"car horn"	0.0538557
ticking	0.0519479
cello	0.0517733
"acoustic guitar"	0.0505076
tuba	0.0504755
lantern	0.0496665
clarinet	0.0491087
woodwind	0.0489269
jingle	0.0486152
wiper	0.0469535
beep	0.0450985
"walking stick"	0.0430097
"alarm clock"	0.0427239
dulcimer	0.0425893
violin	0.0418881
popping	0.0418857
waltz	0.0412004
"electrical device"	0.0405006
"musical instrument"	0.040291
"dining table"	0.0402023
saxophone	0.0400278
))
(chimera (desc 1043.92) (sims
"law of nature"	0.0902419
noggin	0.0778331
icicle	0.077059
"fantasy world"	0.0684187
hologram	0.0612914
theorem	0.0593429
"robbery suspect"	0.0551922
cesspool	0.0544956
"line of questioning"	0.0500994
fiefdom	0.0490974
tidings	0.0489613
"utility program"	0.0488787
archenemy	0.047049
fount	0.0470327
"fire wall"	0.0470241
kaleidoscope	0.0468281
premonition	0.0463903
shockwaves	0.0450749
"dead end"	0.0444652
divinity	0.0443437
oversimplification	0.0441566
agglomeration	0.043902
"hot stock"	0.0438508
approximation	0.0438339
"guessing game"	0.0437163
"embryonic cell"	0.0435482
"test-tube baby"	0.0434199
"proxy fight"	0.0431316
fallibility	0.0426265
"torture chamber"	0.0424681
fief	0.0424045
charade	0.0420492
caftan	0.041996
Demps	0.041955
"about @@@ percent"	0.0407865
clot	0.0406863
artificiality	0.0406627
generalization	0.0405021
"ice crystal"	0.0403936
"waiting game"	0.0402421
tarpon	0.0400576
))
(chimney (desc 15479.1) (sims
fireplace	0.111317
boiler	0.094015
smokestack	0.0870675
vent	0.0861367
furnace	0.0845526
pipe	0.0818991
siding	0.0817363
duct	0.0808503
spire	0.0799928
staircase	0.0798461
Tower	0.0795926
wall	0.0795783
tile	0.0759241
roof	0.0752865
steeple	0.0748857
balcony	0.0730855
Stairway	0.0721455
stove	0.0713577
ceiling	0.0701914
skylight	0.0700254
window	0.0692475
scaffold	0.0691225
"window frame"	0.0686698
hearth	0.067938
facade	0.0670361
gutter	0.0669445
plumbing	0.066707
shutter	0.0660511
radiator	0.0658937
patio	0.065717
flue	0.0649359
stair	0.0641583
molding	0.06366
cupola	0.0628668
toilet	0.0619385
deck	0.0618761
arch	0.0618235
brick	0.0615966
hut	0.0608035
"apartment house"	0.0605693
minaret	0.0598146
"water heater"	0.0594549
wainscoting	0.0594218
porch	0.058954
"file cabinet"	0.0586514
archway	0.0580866
turret	0.0580621
atrium	0.0579294
elevator	0.0576577
garage	0.0576557
wiring	0.0570198
terrace	0.0566643
escalator	0.0563123
ladder	0.056141
pane	0.056073
eaves	0.0558977
oven	0.0558288
windshield	0.0557466
"tile roof"	0.0556653
scaffolding	0.0556364
volcano	0.0552556
sarcophagus	0.0550947
stack	0.0547363
"bell tower"	0.0547232
dam	0.0545915
slab	0.0542888
shaft	0.0542689
fence	0.0541201
"apartment building"	0.0540331
Lighthouse	0.0539144
bookcase	0.0537619
cliff	0.0536342
crater	0.0535274
plaster	0.053053
edifice	0.0527539
exterior	0.0526514
pillar	0.0525914
tank	0.0525546
glass	0.0522048
skyscraper	0.0521447
"storage tank"	0.0520989
statue	0.052034
high-rise	0.0519807
Dome	0.051861
antenna	0.0516858
generator	0.0514257
armoire	0.0512455
tunnel	0.0512426
pyramid	0.0509108
gate	0.0507192
cornice	0.0506037
beam	0.0504639
"water pipe"	0.0500753
kiln	0.0499904
driveway	0.0499508
shanty	0.0496614
silo	0.0495371
Obelisk	0.049481
woodwork	0.0492665
tube	0.0491919
outhouse	0.049072
insulation	0.0490137
fountain	0.0487712
shingle	0.048761
"power line"	0.0486827
pot	0.0486207
stairwell	0.048129
bathroom	0.0479297
"swimming pool"	0.0478163
"heating system"	0.0477987
"ventilation system"	0.0477325
faucet	0.0475511
grotto	0.0474371
"power plant"	0.0473886
dike	0.0473845
chandelier	0.0472186
closet	0.0470624
curtain	0.0470361
"garbage can"	0.0469267
plasterboard	0.0468471
fortress	0.0467192
barn	0.0467112
pedestal	0.0466896
awning	0.0466607
container	0.0465739
"stone wall"	0.0464829
truss	0.0462664
kitchen	0.0462473
dwelling	0.0462394
entryway	0.0462373
girder	0.0459916
roofing	0.0458265
pylon	0.0457033
turbine	0.0455775
"office building"	0.045295
furniture	0.0452914
"blast furnace"	0.0452368
bookshelf	0.0452248
countertops	0.0452044
chute	0.0451453
"clock tower"	0.0449845
"public toilet"	0.0448327
foundations	0.0447401
"picture window"	0.044735
tub	0.0444148
cofferdam	0.0444005
incinerator	0.0442604
"French door"	0.0441401
shack	0.0440798
carpet	0.0439991
transformer	0.0439529
"trash can"	0.0438879
cabin	0.0437118
pagoda	0.043505
rubble	0.0433156
headlight	0.0430398
paneling	0.0429259
tomb	0.0427725
pole	0.0427123
"oil well"	0.0425853
Canopy	0.0425811
Crane	0.0422426
carburetor	0.0420842
moat	0.0420545
mailbox	0.041991
monument	0.0418556
muffler	0.0418511
Warehouse	0.0417977
skull	0.0416835
"row house"	0.0415769
flooring	0.0415704
ramp	0.0415504
lawn	0.0415442
wheel	0.0414261
"front door"	0.0413458
"stained-glass window"	0.0413398
sprinkler	0.041336
headstone	0.0413264
cave	0.041279
"water system"	0.0412245
stele	0.0412215
"fire hydrant"	0.0411499
debris	0.0409079
dormitory	0.0408529
basement	0.0407337
altar	0.0407336
refrigerator	0.0407059
plaza	0.0406611
bulkhead	0.0406599
pipeline	0.0406238
bathtub	0.0405356
floorboard	0.0404884
mast	0.0404472
hallway	0.0403767
"Berlin Wall"	0.0403326
limestone	0.0402233
artery	0.0401971
"jigsaw puzzle"	0.0401674
sheet	0.0401473
bedroom	0.0400964
))
(chimp (desc 10500.2) (sims
chimpanzee	0.286921
orangutan	0.139988
panda	0.138566
monkey	0.131137
Primate	0.127014
elephant	0.124617
"giant panda"	0.12006
ape	0.118561
gorilla	0.117261
baboon	0.108003
"mountain gorilla"	0.0995056
pig	0.096829
rhino	0.0967432
mice	0.0933326
animal	0.0906806
deer	0.0882652
rat	0.0866217
"African elephant"	0.0852078
whale	0.0846678
bird	0.082652
giraffe	0.0823211
"gray wolf"	0.0812401
"right whale"	0.0808041
Condor	0.0799933
tiger	0.0792797
Macaque	0.0779779
mammal	0.0769967
turtle	0.0761125
Gibbon	0.0758941
"fruit fly"	0.0749739
cow	0.0741776
ibis	0.0735517
CAT	0.0732757
porpoise	0.0709012
canine	0.0701855
sheep	0.0684568
piglet	0.0674096
hippo	0.0673739
B-@s	0.0672883
kangaroo	0.0668421
goat	0.0661222
parrot	0.0657288
rabbit	0.0636636
"sea otter"	0.0634114
"sea turtle"	0.0632661
"black bear"	0.0631227
Neanderthal	0.063016
infant	0.0625989
Dinosaur	0.0625765
"gray whale"	0.0620115
"domestic animal"	0.0617609
rodent	0.061706
calf	0.0606601
raccoon	0.0604856
mouse	0.0597401
puppy	0.0594865
hamster	0.0592495
dolphin	0.0591202
geese	0.0588331
cheetah	0.0586101
"sea lion"	0.058397
crocodile	0.0581615
crewmembers	0.0581188
antelope	0.0579478
"living thing"	0.0579467
mosquito	0.0576932
fetus	0.0575632
"foster child"	0.0566115
insect	0.0565572
wolf	0.0561783
frog	0.0549786
donkey	0.0549147
otter	0.0548205
Firefly	0.054726
Bighorn	0.0547032
major-leaguers	0.0545699
centenarian	0.0543005
specie	0.0540693
"guinea pig"	0.0539888
creature	0.0535805
lion	0.0535571
"Bengal tiger"	0.0533827
hemophiliac	0.053346
"snow leopard"	0.0529614
inmate	0.0529091
newborns	0.0528641
detainee	0.0527819
vaulter	0.0522366
pup	0.0521244
owl	0.0520598
sturgeon	0.0518731
upperclassmen	0.051803
signer	0.0515285
hominid	0.0514116
enlistee	0.0512881
alligator	0.0511854
sparrow	0.0510348
squirrel	0.0509458
"milk cow"	0.0508619
reptile	0.0508588
ant	0.0506308
crow	0.0497863
acrobat	0.0496262
pet	0.0496227
fawn	0.0495816
leopard	0.0494728
thoroughbred	0.0492044
VMs	0.0491603
bison	0.0490813
worm	0.0490724
astronaut	0.0489398
rhinoceros	0.0488638
lemur	0.0487083
pigeon	0.0485301
"test-tube baby"	0.0483997
terrier	0.0479442
"rare bird"	0.0479154
Rottweiler	0.0478428
virus	0.047839
"Labrador retriever"	0.0477431
seminarian	0.0476048
"T cell"	0.0475818
airmen	0.0475703
Englishmen	0.0475193
veterinarian	0.0475181
Buffaloes	0.0474915
"brown bear"	0.0473609
organism	0.0472191
camel	0.0472144
critters	0.0471421
kitten	0.047117
offspring	0.0470117
servicemen	0.0469758
snake	0.0468436
circumcision	0.0467691
tortoise	0.0467496
sibling	0.046681
youngster	0.0466101
Embryo	0.0464246
half-brother	0.0463372
impersonator	0.0462969
"Matthew Eappen"	0.0460621
niece	0.0460133
cadet	0.0460029
elk	0.0459567
cattle	0.0458195
"young girl"	0.0457882
cub	0.0457568
trainee	0.0457321
"Y chromosome"	0.0456037
teen-ager	0.0455029
QBs	0.0453376
caribou	0.0452095
firefighters	0.0451652
quadruplet	0.0450357
parakeet	0.0450219
orphan	0.0449131
"quarter horse"	0.0448139
mutant	0.0447478
beaver	0.0446962
villager	0.0446854
"ballet dancer"	0.0445713
"blue crab"	0.044569
sherpas	0.0445141
sailor	0.0444572
beetle	0.0443368
midshipmen	0.044262
ketamine	0.0442487
"little boy"	0.0442212
toddler	0.0441793
"polar bear"	0.0441614
manatee	0.0441164
"killer whale"	0.0440154
"black woman"	0.043934
twenty-eight	0.0438413
"AIDS patient"	0.0438059
"farm worker"	0.0437895
cormorant	0.0437084
microbe	0.0436589
diabetic	0.0436433
wildlife	0.043602
webcams	0.0435335
ex-convicts	0.0435154
grandchildren	0.0434931
Robot	0.0434895
hostage-takers	0.043483
"Homo erectus"	0.043463
firemen	0.0434331
ferret	0.0434177
Gi	0.0434154
"hockey player"	0.0434132
"human being"	0.0433841
Livestock	0.0433595
crewmates	0.0433383
cohort	0.0433098
"native American"	0.0432908
crewmen	0.0431774
deejays	0.0431136
"West Nile"	0.0429401
fella	0.0428653
))
(chimpanzee (desc 11402.7) (sims
chimp	0.286921
monkey	0.171778
panda	0.15464
rhino	0.154638
orangutan	0.151153
gorilla	0.148315
"giant panda"	0.147075
Primate	0.144538
elephant	0.143479
cheetah	0.122474
mammal	0.120589
baboon	0.118377
giraffe	0.115217
ape	0.114504
hippo	0.111665
ibis	0.110495
animal	0.108484
antelope	0.106814
whale	0.106316
"African elephant"	0.104731
rhinoceros	0.104666
deer	0.102297
tiger	0.101898
"snow leopard"	0.101354
porpoise	0.100191
pig	0.099956
turtle	0.0994682
crocodile	0.0983369
Macaque	0.0969903
"mountain gorilla"	0.0967004
bird	0.095818
zebra	0.0940655
"sea turtle"	0.093234
Gibbon	0.0919291
sheep	0.0874784
"sea lion"	0.0864483
mice	0.0863303
dolphin	0.0828611
Condor	0.0828422
Dinosaur	0.0808442
"gray whale"	0.0804117
CAT	0.0803708
"black bear"	0.0799554
donkey	0.0799256
"fruit fly"	0.0794242
cow	0.0793187
human	0.079218
leopard	0.0787175
rat	0.0785448
"rare bird"	0.0781991
sturgeon	0.0766435
kangaroo	0.0764628
wolf	0.0751684
"right whale"	0.0744415
rodent	0.074176
vertebrate	0.0736582
lion	0.0712133
"sea horse"	0.0699891
"mountain lion"	0.0695001
rabbit	0.0692733
geese	0.0687901
egret	0.0681813
"gray wolf"	0.0679891
lemur	0.0679446
cormorant	0.0677616
frog	0.067676
goat	0.0665639
infant	0.0664183
hominid	0.0663528
calf	0.0657662
mosquito	0.065653
insect	0.0656255
manatee	0.0647925
"water buffalo"	0.0646971
peacock	0.0644219
parrot	0.0642621
creature	0.0641878
elk	0.064134
reptile	0.0640228
waterfowl	0.0635855
cattle	0.0635383
owl	0.0633788
alligator	0.0631008
otter	0.0626567
snake	0.0623304
specie	0.0622428
ancestor	0.0611477
sparrow	0.0599283
mouse	0.0583442
camel	0.0583265
Neanderthal	0.0581899
koala	0.0576867
wildlife	0.0575583
fetus	0.05748
"bald eagle"	0.0574499
mutant	0.0574197
squirrel	0.057378
"Y chromosome"	0.0572689
porcupine	0.0571799
armadillo	0.0568787
Crane	0.0567235
"living thing"	0.0561093
"polar bear"	0.055946
ox	0.0557591
beetle	0.0552616
bee	0.0552613
"wild horse"	0.055236
Livestock	0.0550797
"AIDS patient"	0.054773
"Bengal tiger"	0.0546281
pigeon	0.054579
"blue crab"	0.0544654
moose	0.0544609
caribou	0.0541668
"brown bear"	0.0541595
amphibian	0.0541116
"Homo sapiens"	0.0540806
"domestic animal"	0.0538055
oxen	0.0531351
stork	0.0527725
microbe	0.0525729
"prairie dog"	0.0521794
yak	0.0521261
tortoise	0.0517565
rattlesnake	0.0513972
lizard	0.0513324
centenarian	0.0513185
Buffaloes	0.0513112
"grizzly bear"	0.0507173
bison	0.0504797
crow	0.0503132
canine	0.0502783
"red deer"	0.0502255
heron	0.0499786
spider	0.0499654
"horseshoe crab"	0.0499079
boar	0.0498047
swan	0.0497958
"monarch butterfly"	0.0497443
pup	0.0496849
salamander	0.0496829
Inuit	0.0493583
penguin	0.0493026
orphan	0.049104
pet	0.0490224
shark	0.0489846
organism	0.0479325
"sea otter"	0.0478473
"tropical rain forest"	0.0477982
swine	0.0477934
"belly dancer"	0.0477708
virus	0.0476598
butterfly	0.0475189
dragon	0.0469045
fauna	0.0467662
toad	0.0467101
inmate	0.0463673
newborns	0.0463428
ostrich	0.0462441
"native American"	0.046007
seminarian	0.0459372
tern	0.045716
plankton	0.045675
hamster	0.0455178
worm	0.0452472
beaver	0.0450696
"foster child"	0.0450304
"farm worker"	0.0449477
ant	0.0448599
Londoner	0.0447559
airmen	0.0447559
toddler	0.044663
"life form"	0.0445797
Firefly	0.044575
kitten	0.0444571
Vulture	0.0443003
hyena	0.0442084
thoroughbred	0.0441638
"sea bird"	0.044136
hare	0.0441358
gazelle	0.0440102
reindeer	0.0438377
mollusk	0.0438215
fossil	0.0437284
"fire ant"	0.043693
lynx	0.0436515
wallaby	0.0436111
Embryo	0.0435779
"guinea pig"	0.0435542
ex-convicts	0.0434538
lobster	0.0431728
transvestite	0.0430797
raccoon	0.0430258
"chess player"	0.0428815
adolescent	0.0426619
trout	0.042544
"adult male"	0.0424723
mammoth	0.0424529
Eskimo	0.0424377
llama	0.042397
))
(Chin (desc 24620.8) (sims
forehead	0.165333
cheek	0.132372
jaw	0.1295
nose	0.122358
cheekbone	0.112303
eyelid	0.11198
chest	0.101093
lip	0.100422
thigh	0.0997655
neck	0.0990818
wrist	0.0913828
ear	0.0900941
shoulder	0.08655
forearm	0.0831415
"index finger"	0.0830653
scalp	0.0811942
arm	0.080853
goatee	0.0803581
elbow	0.0762276
brow	0.0756426
finger	0.0750098
mouth	0.0740946
tongue	0.0739857
leg	0.073874
hairline	0.0733836
eye	0.0728319
knee	0.0728127
rib	0.0725288
hair	0.071715
throat	0.0710326
abdomen	0.0699295
stomach	0.0680308
Beard	0.0678075
eyebrow	0.0671148
"left hand"	0.0657268
nostril	0.0642015
"right hand"	0.0633128
belly	0.0629761
torso	0.0623045
thumb	0.061789
mustache	0.0611115
teeth	0.0610483
hip	0.0605349
shin	0.0602241
smile	0.0592181
skin	0.0585884
Foot	0.0585689
navel	0.0567431
armpit	0.05656
ankle	0.0565103
buttock	0.0554553
pelvis	0.0553138
snout	0.0550486
toe	0.0550433
breast	0.0549619
tail	0.0537499
skull	0.0537379
bruise	0.0515858
genital	0.051549
knuckle	0.0511051
butt	0.0505371
kneecap	0.0498015
limb	0.0491269
waist	0.049107
bone	0.0490156
"black eye"	0.0489118
sternum	0.0487595
grin	0.0483557
stubble	0.0483165
groin	0.0480628
midsection	0.0476344
fist	0.0474761
gum	0.0473711
paw	0.0471656
sideburn	0.0470832
complexion	0.0465927
spine	0.0465904
nail	0.0465812
rump	0.0462935
vertebra	0.0460308
calf	0.0459795
muscle	0.0458777
lung	0.0454726
tattoo	0.0453107
fingernail	0.0453098
biceps	0.044658
gut	0.0441723
forefinger	0.0438345
whisker	0.0433924
laceration	0.0431826
Tooth	0.0431315
collarbone	0.0431089
"middle finger"	0.0430097
blister	0.0425479
palm	0.0422639
glass	0.0418847
hat	0.0412389
mane	0.0410168
lapel	0.0405855
physique	0.0404728
ponytail	0.0403781
))
(China (desc 454302) (sims
country	0.271077
Japan	0.242028
Russia	0.235736
"United States"	0.229746
India	0.21451
Iran	0.209764
"Hong Kong"	0.207522
Thailand	0.206776
"South Africa"	0.198106
Egypt	0.195787
Malaysia	0.194888
"South Korea"	0.193801
Indonesia	0.19149
Pakistan	0.190961
Vietnam	0.190746
Canada	0.187771
Mexico	0.185252
Germany	0.184014
France	0.183417
Britain	0.183206
BEIJING	0.182986
Australia	0.181226
region	0.18015
nation	0.179447
Brazil	0.179198
Taiwan	0.178753
Israel	0.177089
Turkey	0.176195
province	0.174764
Nigeria	0.174722
Cuba	0.174035
Ukraine	0.173956
Myanmar	0.172526
Singapore	0.172025
Italy	0.171531
Bangladesh	0.170907
Europe	0.170794
Poland	0.169703
Shanghai	0.169514
Asia	0.168767
Africa	0.168665
Romania	0.166431
Iraq	0.16476
Cambodia	0.160256
Kenya	0.159871
"Saudi Arabia"	0.157645
Ethiopia	0.157503
mainland	0.156854
Greece	0.155525
Tibet	0.155286
Nepal	0.15423
"Sri Lanka"	0.153105
Philippines	0.153103
Argentina	0.152765
Tanzania	0.152526
Uganda	0.151167
Kazakhstan	0.149978
Macao	0.149976
Hungary	0.149794
"African country"	0.148949
Mongolia	0.148823
Zimbabwe	0.148527
Bulgaria	0.148463
government	0.147775
state	0.147546
Syria	0.147152
city	0.146071
U.S.	0.145957
Zambia	0.143974
Yugoslavia	0.143821
Spain	0.143367
world	0.14244
Colombia	0.141699
"New Zealand"	0.141569
"Asian country"	0.140682
"North Korea"	0.139958
Mozambique	0.138472
America	0.138447
EU	0.13746
Peru	0.137366
Kuwait	0.137172
Algeria	0.137116
Switzerland	0.136997
Venezuela	0.13557
Angola	0.135144
Chile	0.134826
area	0.134762
"Republic of Korea"	0.134207
Libya	0.133357
Norway	0.133267
Portugal	0.132203
Sweden	0.132186
"European Union"	0.131096
Austria	0.130482
Lebanon	0.130444
industry	0.130306
Sudan	0.128311
sector	0.12792
Netherlands	0.127663
"Latin America"	0.127466
Jordan	0.126881
Guangdong	0.126705
Finland	0.125327
Korea	0.12178
Yemen	0.121756
Denmark	0.121183
Belgium	0.121128
Croatia	0.120872
Tunisia	0.120287
Cyprus	0.120277
Moscow	0.119903
Belarus	0.119049
"European country"	0.119005
economy	0.118812
"Soviet Union"	0.118643
"Middle East"	0.118292
Afghanistan	0.118027
Uzbekistan	0.117872
Ghana	0.117805
Albania	0.117557
DPRK	0.117455
Namibia	0.117066
Panama	0.116633
Washington	0.11575
"Czech Republic"	0.114455
Ireland	0.114385
development	0.113996
company	0.113571
Xinjiang	0.112734
Yunnan	0.1126
Republic	0.112542
"United Kingdom"	0.112315
Chinese	0.112084
Morocco	0.112071
ASEAN	0.111408
England	0.111088
Ecuador	0.1107
Oman	0.110216
"Southeast Asia"	0.109539
market	0.109478
Laos	0.109153
"North America"	0.109124
Qatar	0.109023
community	0.109012
Fujian	0.108929
California	0.108887
Shenzhen	0.108142
Nicaragua	0.10813
enterprise	0.107985
"United Arab Emirates"	0.107234
"New York"	0.10655
"Guangdong Province"	0.106488
Tianjin	0.10636
Bahrain	0.106141
"People's Republic of China"	0.105944
people	0.105643
UAE	0.105276
"Asian nation"	0.104436
Uruguay	0.104323
Lithuania	0.104104
Slovakia	0.103981
Serbia	0.103945
NATO	0.103706
Rwanda	0.103599
"Costa Rica"	0.102791
Armenia	0.102033
Slovenia	0.101584
Bosnia	0.101331
party	0.101279
Azerbaijan	0.100332
Guatemala	0.100164
Georgia	0.0998162
ROK	0.0995574
Honduras	0.0995546
business	0.0995457
Haiti	0.0994621
continent	0.0993262
motherland	0.0990721
Jamaica	0.099015
Kosovo	0.0988
capital	0.0987889
us	0.0983733
Latvia	0.0977969
cooperation	0.0977264
Moldova	0.0975899
"United Nations"	0.0973644
Guangxi	0.0973238
Bolivia	0.0972452
Botswana	0.0971763
Hainan	0.0965859
Sichuan	0.0965763
organization	0.0964062
Fiji	0.096058
administration	0.0960296
Brunei	0.0958418
Somalia	0.0951801
"South America"	0.0951501
Kingdom	0.0947955
Jiangsu	0.0946506
west	0.0942845
))
("China Airlines" (desc 1453.59) (sims
"Ethiopian Airlines"	0.193978
USAir	0.191211
"Kenya Airways"	0.181779
"Korean Air"	0.179929
"Turkish Airlines"	0.177226
"Thai Airways"	0.173008
Mig	0.162004
"Gulf Air"	0.161228
"Alaska Airlines"	0.161098
turboprop	0.155921
"Indian Airlines"	0.155039
"Airbus @@@"	0.154898
Aeroflot	0.147695
"blue angel"	0.147178
DC-@@	0.145588
"Air India"	0.143243
"Vietnam Airlines"	0.141389
"Straits Exchange Foundation"	0.141367
"Air France Concorde"	0.141001
TU-@@@	0.140565
Cessna	0.138276
"South African Airways"	0.136904
"El Al"	0.134374
Garuda	0.133511
EgyptAir	0.133127
"Indian Air Force"	0.132725
"Eastern Airlines"	0.131245
"Japan Airlines"	0.128578
Swissair	0.127529
Harrier	0.126507
"China Eastern Airlines"	0.125455
A-@@@	0.124408
widebody	0.12317
"Air Canada"	0.12271
"Royal Air Force"	0.122531
Iberia	0.118243
"United Airlines"	0.118
"Cathay Pacific Airways"	0.117171
JAT	0.115987
Cathay	0.112009
Airlines	0.111924
DC-@	0.111022
C-@@	0.110301
"Airbus A@@@"	0.109171
TWA	0.108813
"Trans World Airlines"	0.108521
KLM	0.107375
"China Southern Airlines"	0.106776
"America West Airlines"	0.106458
Qantas	0.104434
IAF	0.104053
"Thai Airways International"	0.1039
MiG-@@	0.103729
P-@	0.102995
Emery	0.102947
Il-@@	0.102929
AWACS	0.102377
RAF	0.102192
"American Airlines"	0.101149
"Air China"	0.100235
"Continental Airlines"	0.0993811
"electronic warfare"	0.0990447
"Malaysia Airlines"	0.0988156
JAL	0.0976587
"Delta Air Lines"	0.0974796
Alitalia	0.0971795
"Air France"	0.0968942
Comair	0.0964039
AN-@@	0.0953873
Fedex	0.0952789
A@@@-@@@	0.0952089
A-@@	0.0948479
Prowler	0.0943312
SAA	0.0938917
Starwood	0.0938608
"Cathay Pacific"	0.0928791
Concorde	0.0925191
Lufthansa	0.0924053
SU-@@	0.0920983
"Cessna @@@"	0.0916397
"Democratic Progressive Party"	0.0915471
C-@@@	0.0910667
C-@	0.0907823
"Stage @"	0.0901086
Aeromexico	0.0900812
kamikaze	0.0897163
"Northwest Airlines"	0.0888096
IAI	0.0887599
X-@@	0.087879
"British Airways"	0.087642
"U.S. Air Force"	0.0874588
A-@	0.0874481
Ansett	0.087134
"Philippine Airlines"	0.0869803
Bae	0.0867886
MD-@@	0.0865551
two-seater	0.0862231
"Delta Airlines"	0.0858133
"America West"	0.0843964
Airbus	0.0843648
Sabena	0.0841247
reconnaissance	0.0835226
GPU	0.0827411
AMR	0.0825531
Lear	0.0823418
"Virgin Atlantic"	0.081644
F-@@@	0.0815886
UTC	0.0813323
Asa	0.080772
A@@@	0.0797438
ValuJet	0.0796654
"U.S. Defense Department"	0.07964
Tenneco	0.0794401
"Thermo Electron"	0.0793798
Airways	0.0783737
UTA	0.0783582
"ground attack"	0.0782222
F@@	0.0778356
airforce	0.0777772
FPL	0.0777312
"New Jersey State Police"	0.0776555
Dragonair	0.077398
CSC	0.0772759
TELLABS	0.0771939
F-@	0.0771656
"Air Lanka"	0.0771619
GEC	0.076891
Eurotunnel	0.0759693
warthog	0.075915
"US Airways"	0.0758353
"Southwest Airlines"	0.0754404
Embraer	0.0753659
Georgia-Pacific	0.0752731
Daimler	0.0750798
"American eagle"	0.0750692
McKesson	0.0748694
"Pan Am"	0.0743398
PTT	0.0741918
Ba	0.073955
ENTERGY	0.0737304
AutoNation	0.0733004
Primedia	0.0732909
CSX	0.0732208
NORTHROP	0.073203
Norwest	0.0730996
"Central Election Commission"	0.0730775
IDT	0.0730398
MD	0.0730063
Bridgestone/Firestone	0.0729756
glider	0.0728875
Biman	0.0728199
AIRTRAN	0.0721465
Paxson	0.0719926
Learjet	0.0719097
JMC	0.0716374
T-@@	0.0716091
AHP	0.0710536
Astra	0.070889
SAS	0.0706712
Telkom	0.0704946
Apache	0.070153
SFX	0.0693256
Modell	0.0690414
"De Beers"	0.0689333
"Washington Mutual"	0.0688712
"National Grid"	0.0679568
"McDonnell Douglas"	0.0679114
"Con Ed"	0.0678938
"Computer Associates"	0.0676891
NTL	0.0676657
F-@@	0.0675292
VENATOR	0.0674859
AIG	0.0672006
GAAF	0.0671271
"Singapore Airlines"	0.0669537
Lockheed	0.0667938
A@XX	0.0667865
TYCO	0.0665213
"Hongkong Telecom"	0.066432
"Royal Bank"	0.0662175
Scientific-Atlanta	0.0658438
osprey	0.0658315
Hercules	0.0657829
"British Petroleum"	0.0655029
PCC	0.0654851
Wada	0.0652695
Checkfree	0.0650302
Autodesk	0.064849
IBRA	0.0648303
Alcatel	0.0646741
"U.S. Navy"	0.0646157
Hoechst	0.0644892
"Ford Motor"	0.0642031
Pillars	0.0638331
Histadrut	0.0636698
Imperatori	0.0635594
ICI	0.0635563
IEC	0.0635516
SNCF	0.0635505
"Marine Corps"	0.0633938
))
("China Association for Science" (desc 1528.53) (sims
"Ministry of Science"	0.234744
"All-China Youth Federation"	0.226774
"All-China Federation"	0.218507
"All-China Journalists Association"	0.200559
"China Society"	0.188014
"China Federation"	0.170708
"China Council"	0.166243
"Chinese Academy of Engineering"	0.165753
"Beijing Municipal Government"	0.14773
"Organization Department"	0.145944
"Association for Friendship"	0.142879
"China National Tourism Administration"	0.137523
"Association for Relations Across"	0.137456
"Ministry of Education"	0.136806
"National Committee"	0.136416
"Hong Kong Federation"	0.135599
"Ministry of Information Industry"	0.134108
"International Society"	0.131845
"State Education Commission"	0.129408
"Ministry of Personnel"	0.128453
"Ministry of Culture"	0.128174
"Congress (NPC) Standing Committee"	0.127832
"military commission"	0.127771
"Ministry of Public Security"	0.127308
"National Tourism Administration"	0.126862
"Central Committee"	0.126451
"Chinese Olympic Committee"	0.125585
"Chinese Academy of Sciences"	0.123174
"Chinese Society"	0.120838
"Shanghai Municipal Government"	0.118417
ACWF	0.11548
"China Securities Regulatory Commission"	0.113616
"Inter-Parliamentary Union"	0.112785
"State Peace and Development Council"	0.110386
"Propaganda Department"	0.10883
"Asia Society"	0.10859
"Publicity Department"	0.107387
"CPPCC National Committee"	0.107264
"Eighth National Committee"	0.106756
"State Law and Order Restoration Council"	0.106518
ACFTU	0.10582
"Foreign Affairs Committee"	0.105414
"municipal government"	0.105292
"Chinese People"	0.103974
"Organizing Committee"	0.103858
"State Economic and Trade Commission"	0.102189
"Ministry of Foreign Trade"	0.101007
"Ministry of Foreign Trade and Economic Cooperation"	0.100496
"American Association"	0.100198
NRM	0.0973342
"Securities Industry Association"	0.0956983
CMC	0.0950801
CPAFFC	0.0934032
"Ninth National Committee"	0.0921976
"Revolutionary Command Council"	0.0920171
"National Abortion and Reproductive Rights Action League"	0.0912517
"Universal Postal Union"	0.0905642
"National People"	0.0903772
ENTREMED	0.0902402
"State Environmental Protection Administration"	0.0887154
"National Defense Commission"	0.0883709
"Taiwan Affairs Office"	0.0880766
"Democratic Leadership Council"	0.0878789
"China Youth Development Foundation"	0.0873078
"Central Military Commission"	0.0872753
"United Front Work Department"	0.0872516
"Olympic Council of Asia"	0.0866227
"Cambodian People's Party"	0.0862575
"Ministry of Supervision"	0.0858618
"American Psychological Association"	0.0855318
"Council of State"	0.085514
"World Jewish Congress"	0.0852688
"Economic and Social Council"	0.0847947
"State Planning Commission"	0.0847101
"State Administration of Cultural Heritage"	0.0845449
"Red Cross Society"	0.0843454
CITIC	0.0841377
"Global Environment Facility"	0.0832149
"State Development Planning Commission"	0.08285
CIRC	0.0824085
"International Department"	0.0817148
"CPC Central Commission for Discipline Inspection"	0.0811527
"Chinese People's Political Consultative Conference"	0.0810803
"Supreme Soviet"	0.0809719
"United National Independence Party"	0.0809466
CAS	0.0807628
"Central Commission for Discipline Inspection"	0.0804699
"Chinese Academy of Social Sciences"	0.0799693
"Ministry of Justice"	0.0799531
"Ministry of Finance"	0.0783626
"State Science and Technology Commission"	0.078327
"NPC Standing Committee"	0.0781855
CCPIT	0.0773644
"Ministry of Water Resources"	0.0768574
"Center for Strategic"	0.0759401
"Information Office"	0.0747217
"Ministry of Posts"	0.0745557
"National Association"	0.0740105
"Development Research Center"	0.0737674
Presidium	0.0736534
"Third Session"	0.0734953
"Provisional Urban Council"	0.0732864
"Ministry of Agriculture"	0.0732343
"International Federation"	0.0728185
"Center for Democracy"	0.0726086
"American Bar Association"	0.0716559
"Ministry of Labor"	0.0713537
"Congress Standing Committee"	0.0706683
"Canadian International Development Agency"	0.070389
"Ford Motor Company"	0.0700871
"Beijing Municipal Committee"	0.0699977
"Charles Schwab &AMP; Co."	0.0695073
"American Petroleum Institute"	0.0694849
"Business Council"	0.068387
"United Nations Environment Program"	0.0679888
"Provisional Ruling Council"	0.0679562
"Hong Kong Tourist Association"	0.0672968
"Ninth CPPCC National Committee"	0.0670198
"Ministry of Internal Trade"	0.0662122
"Civil Aviation Administration of China"	0.0661605
"American Association of Health Plans"	0.065921
"Commission on Presidential Debates"	0.0655867
IGC	0.0654549
"Cuban American National Foundation"	0.0650694
"State Forestry Administration"	0.0647381
"Hearst Corporation"	0.0646076
"Hong Kong Trade Development Council"	0.0642033
"Families USA"	0.0640592
"American Heart Association"	0.0640543
ZANU	0.0640083
ICA	0.063856
"World Meteorological Organization"	0.0637853
"Electronic Frontier Foundation"	0.063753
"Eighth NPC"	0.0630221
"Department of Finance"	0.0629557
"World Economic Forum"	0.0628794
"National People's Congress"	0.0627969
CCF	0.0626985
"National Resistance Movement"	0.0626201
"Des Moines Register"	0.062378
"Kaiser Family Foundation"	0.0619988
"Legend Group"	0.0618661
"Air Line Pilots Association"	0.0617958
"House Budget Committee"	0.061742
"Fudan University"	0.0616133
"information science"	0.0615665
"Funcinpec Party"	0.0612927
"State Administration of Taxation"	0.0612449
"Party School"	0.0611814
"Second Session"	0.061116
Yukos	0.0610776
"Wen Wei Po"	0.0610728
"Jerusalem Committee"	0.060966
"League of Women Voters"	0.0608705
"Australian Olympic Committee"	0.0608439
"U.S. Export-Import Bank"	0.0608396
"International Amateur Athletic Federation"	0.0608202
FIVB	0.0606562
"Commonwealth Ministerial Action Group"	0.0603503
"National Association of Manufacturers"	0.0598589
"Academy of Motion Picture Arts"	0.059663
"American Association of Retired Persons"	0.0595671
"Central Council"	0.0593247
"Inter-American Development Bank"	0.0593076
"Qinghua University"	0.059205
"Ministry of Public Health"	0.0590577
"Independent National Electoral Commission"	0.0590032
CSRC	0.058849
"National Council"	0.0587661
"Russian Security Council"	0.0587047
"Medical Society"	0.0583523
"Council on Foreign Relations"	0.0582621
"U.S. Chamber of Commerce"	0.058123
MOFTEC	0.0580494
"Xinhua News Agency"	0.0577923
"Republican Leadership Council"	0.0576108
"State Administration of Internal Trade"	0.0575992
"International Cycling Union"	0.0574723
"Housing Authority"	0.0573045
"planning commission"	0.0572788
"National Education Association"	0.0570635
"National Council of La Raza"	0.0564422
"Ministry of Communications"	0.0562014
"Board of Investment"	0.0561779
"Bank for International Settlements"	0.0561424
"Ministry of Land"	0.056023
ARATS	0.0558541
"NFL Players Association"	0.0556328
"Arab Parliamentary Union"	0.0556314
"Ford Foundation"	0.0555657
"Freedom Forum"	0.0554157
"Ministry of Trade"	0.0551944
"U.S. Soccer Federation"	0.055062
"Executive Committee"	0.0549332
"Nahdlatul Ulama"	0.0548811
"Benevolent Association"	0.0547853
"National Geographic Society"	0.0547124
"United Malays National Organization"	0.0546631
"European Bank for Reconstruction"	0.0545097
"Hong Kong Monetary Authority"	0.0544541
))
("China Central Committee" (desc 4227.61) (sims
"Chinese Communist Party Central Committee"	0.421271
"Chinese Communist Party (CPC) Central Committee"	0.376482
"CPC Central Committee"	0.334777
"Communist Party of China"	0.269887
"Political Bureau"	0.192628
"Central Committee"	0.188165
"Chinese Communist Party"	0.181826
"Party Central Committee"	0.136545
"vice- chairman"	0.110247
"Beijing Municipal Committee"	0.106342
"National People's Congress"	0.102562
"Central Military Commission"	0.0990754
"Zhou Guangzhao"	0.0974514
"Chinese People's Political Consultative Conference"	0.0974495
"CPPCC National Committee"	0.0966372
"Communist Party"	0.0964761
"Cheng Siwei"	0.0895328
"Song Jian"	0.0874366
CPC	0.0873689
"Political Consultative Conference"	0.0872507
"Economic Cooperation"	0.0845586
"Vietnamese Communist Party"	0.0842966
"Peng Peiyun"	0.081019
vice-chairmen	0.0788262
"Wang Guangying"	0.0776643
"Macao Affairs Office"	0.0759365
vice-chairperson	0.0757641
"Congress Standing Committee"	0.0746437
"Ministry of Civil Affairs"	0.0738883
"Taiwan Affairs Office"	0.0733602
"Ministry of Culture"	0.0729056
"State Education Commission"	0.072338
"Eighth National Committee"	0.0717256
"Communist Youth League of China"	0.0711227
"General Political Department"	0.0697481
"State Planning Commission"	0.0696311
"Wan Guoquan"	0.0688466
"Wu Jieping"	0.0686347
"Wang Zhongyu"	0.0683298
"standing committee"	0.0672473
"Wang Zhaoguo"	0.0659338
CMC	0.0640391
"Jiang Chunyun"	0.063389
"State Economic and Trade Commission"	0.0632756
"NPC Standing Committee"	0.0632207
"All-China Youth Federation"	0.062678
"Central Commission for Discipline Inspection"	0.0608261
"Wang Hanbin"	0.0608093
"Zou Jiahua"	0.0601062
"Wu Bangguo"	0.0595699
"Tian Jiyun"	0.0591409
"Qian Weichang"	0.0590487
"Ministry of Education"	0.0579435
"Ninth National Committee"	0.0578558
"Qian Qichen"	0.0574101
"Kim Yong Nam"	0.0570621
"Li Tieying"	0.0569394
"Lu Ping"	0.0563537
"Zhang Wannian"	0.0561748
vice-chairman	0.05602
Buhe	0.0555884
"Chi Haotian"	0.0542465
vice-chairwoman	0.0538111
"General Logistics Department"	0.0535402
"Public Security Ministry"	0.0525331
"Defense William Cohen"	0.0520613
"Eighth NPC"	0.0519636
"United Front Work Department"	0.0515365
"State Councilor"	0.0513306
"Chinese State Council"	0.0501022
Luli	0.0497143
"Robert E. Rubin"	0.0492963
NPC	0.0484921
"Ministry of Justice"	0.0480274
"Liu Huaqing"	0.047859
"Ministry of Public Security"	0.0478513
"State Environmental Protection Administration"	0.0477884
"Li Lanqing"	0.0476367
"Wen Jiabao"	0.0474974
"Beijing Municipal Government"	0.0466839
"CPC National Congress"	0.0462265
"Jack Welch"	0.0460109
"Ministry of Information Industry"	0.0452544
"Chen Muhua"	0.0450598
"State Science and Technology Commission"	0.0449302
"Zhu Lin"	0.0445812
"Henry Shelton"	0.0445242
"State Development Planning Commission"	0.0436923
"National Committee"	0.0433299
"All-China Federation"	0.0432968
"Phan Van Khai"	0.0423456
"Drought Relief Headquarters"	0.0420999
"Frank Joklik"	0.0417883
"Information Office"	0.0412795
"Fifth Session"	0.0411294
"Muslim Mindanao"	0.0411197
"Wang Yeping"	0.0406593
Fuling	0.0406471
"Organization Department"	0.0406024
"Luo Gan"	0.040574
"Gerald Levin"	0.0403952
"Li Ruihuan"	0.0401945
))
("China Central Television" (desc 5446.72) (sims
CCTV	0.167384
"Guangming Daily"	0.128676
"television station"	0.115133
"Xinhua News Agency"	0.109857
"television network"	0.106813
"Beijing Municipal Government"	0.100097
"TV station"	0.0986285
"radio station"	0.0942195
"Channel @"	0.0933821
C-Span	0.0922413
"Golf Channel"	0.0889597
ESPN@	0.0867727
"Economic Daily"	0.0866874
Univision	0.086486
iTV	0.0860338
"Turner Classic Movies"	0.0846833
PBS	0.0844385
"China Youth Daily"	0.0839879
"Court TV"	0.0826821
ESPN	0.0812775
"All-China Journalists Association"	0.0799156
CNN	0.0788418
BBC	0.0777879
"Republican Leadership Council"	0.0774593
WGBH	0.0768352
NTV	0.0758007
"USA Network"	0.0744681
"State Administration of Cultural Heritage"	0.0738343
Showtime	0.0730654
"Chinese Academy of Social Sciences"	0.073006
NHK	0.0730055
"China Council"	0.0726203
"Ministry of Information Industry"	0.0709823
"Chinese Academy of Sciences"	0.0700396
"State Economic and Trade Commission"	0.0686055
"British Broadcasting Corp."	0.0684606
"Ministry of Science"	0.0677347
VH@	0.0672884
"Fox Sports Net"	0.0660688
"Taiwan Affairs Office"	0.0657555
"Shanghai Municipal Government"	0.0657283
"TV network"	0.0654806
"Ministry of Education"	0.0650865
"China Youth Development Foundation"	0.0647106
"Nashville Network"	0.0646611
HBO	0.0640615
"Good Morning America"	0.0640249
"Yomiuri Shimbun"	0.063432
WMUR-TV	0.0633489
"Hong Kong Trade Development Council"	0.0629814
"State Education Commission"	0.0628931
"State Environmental Protection Administration"	0.0628399
"State Development Planning Commission"	0.0626278
"National Committee"	0.0619761
"History Channel"	0.0606784
"Ministry of Culture"	0.0601163
CNBC	0.0600415
"Fox Network"	0.0597612
MSNBC	0.0590352
"Ministry of Personnel"	0.0590184
"Ministry of Water Resources"	0.058946
"Hong Kong Federation"	0.0587327
"Israel Radio"	0.0584507
"National Public Radio"	0.0580201
"municipal government"	0.0576734
"United Nations Children's Fund"	0.0575392
"cable network"	0.0574437
TNT	0.0572529
"Le Figaro"	0.0571697
"State Administration of Internal Trade"	0.0571697
"Central Committee"	0.0571007
"Civil Aviation Administration of China"	0.0569499
"Information Office"	0.0568151
"Kaiser Family Foundation"	0.0566045
"Late Edition"	0.0559936
MTV	0.0559925
"Ministry of Foreign Trade"	0.0557032
"Ministry of Justice"	0.0555418
"Fox News Channel"	0.0544004
"Food Network"	0.0542111
"Voter News Service"	0.0541275
"ABC Sports"	0.0538277
"State Science and Technology Commission"	0.0536888
"Dateline NBC"	0.0536173
"All-China Youth Federation"	0.0535031
"United Nations Educational, Scientific and Cultural Organization"	0.0528888
"China Society"	0.0525963
CRI	0.0525707
"Cable News Network"	0.0525204
TNN	0.0524283
"Ministry of Internal Trade"	0.0516975
"Channel @@"	0.0515726
"Nigerian National Petroleum Corporation"	0.0515108
"National Abortion and Reproductive Rights Action League"	0.0514253
"British Broadcasting Corporation"	0.0513716
"China Daily"	0.0512505
"Legend Group"	0.0508974
"Association for Friendship"	0.0506653
"League of Women Voters"	0.0503876
"Late Show"	0.049613
"Disney Channel"	0.0495955
ORT	0.049559
HKTA	0.0495129
CBS-TV	0.0492702
Politika	0.0488763
SSE	0.0486393
"Night Football"	0.0484659
"cable system"	0.0483378
"All-China Federation"	0.0479783
"Beijing Youth Daily"	0.0479135
"Inter-Parliamentary Union"	0.0479107
"First Session"	0.0477573
pay-per-view	0.0477183
"American Petroleum Institute"	0.0475274
"Kenya Times"	0.0475223
"Shanghai Branch"	0.0472156
"Communist Youth League of China"	0.0469721
"State Bureau of Environmental Protection"	0.0468977
"Industrial and Commercial Bank of China"	0.0466975
"Ministry of Public Security"	0.0466688
Nightline	0.0465371
"Ministry of Health"	0.0465209
"Iraqi News Agency"	0.0464705
"State Family Planning Commission"	0.0462344
"mass media"	0.0462002
"United Nations Environment Program"	0.0461959
"National Tourism Administration"	0.0461048
"ABC News"	0.0460218
"Asia Society"	0.0459111
"Red Cross Society"	0.0458623
"Chinese People's Political Consultative Conference"	0.045852
ABC-TV	0.0456529
"Comedy Central"	0.0456013
"Ministry of Foreign Trade and Economic Cooperation"	0.0452707
"Hong Kong Tourist Association"	0.0452493
"Academy of Motion Picture Arts"	0.0451994
"news show"	0.0450951
"College Board"	0.0446772
"TV program"	0.0445874
"Associated Press of Pakistan"	0.0445851
"Human Rights Campaign"	0.0445082
"Agence France Presse"	0.0444261
"Discovery Channel"	0.0444152
"Chinese Society"	0.0443254
"Beijing University"	0.0441233
"Middle East News Agency"	0.0438601
Tb	0.0437881
"State Development Bank"	0.0435445
"State Planning Commission"	0.0432129
"Global Environment Facility"	0.0431278
"China Construction Bank"	0.0428616
"Federal Reserve Bank of New York"	0.0426147
"Xiong Guangkai"	0.0425297
"Asian Development Bank"	0.0424586
"Entertainment Tonight"	0.0424418
Gallup	0.0421886
"World Wildlife Fund"	0.042064
"American Association of Retired Persons"	0.0420161
Al-Ahram	0.0419347
"SAR Government"	0.0417212
"Kuwait News Agency"	0.0415612
"Pax TV"	0.0415346
"Handgun Control Inc."	0.04144
MOFTEC	0.0413591
TDC	0.0413204
"Today Show"	0.0412966
"International Labor Organization"	0.0412387
"Dow Jones Newswires"	0.0412276
Pt	0.0411951
"Ministry of Planning"	0.0409522
"State Forestry Administration"	0.0408814
periodical	0.0408195
Rai	0.0406778
"Construction Bank of China"	0.0406498
"United Nations Conference on Trade and Development"	0.0405649
"Radio Free Asia"	0.0405318
"Wen Wei Po"	0.040501
"Chinese government"	0.0401904
))
("China Construction Bank" (desc 2814.18) (sims
"Construction Bank of China"	0.546012
"Agricultural Bank of China"	0.492255
"Industrial and Commercial Bank of China"	0.459972
"Bank of Communications"	0.35117
industrial	0.270778
"Bank of China"	0.269083
"Commercial Bank of China"	0.256575
"State Development Bank"	0.23617
ICBC	0.211621
"State Administration of Foreign Exchange"	0.176694
"People's Bank of China"	0.13992
Eximbank	0.13979
"China Southern Airlines"	0.133703
"Shanghai Branch"	0.129043
"Hong Kong Monetary Authority"	0.124591
SDB	0.119367
BOC	0.118667
CCB	0.117724
"Hang Seng Bank"	0.114959
"China Council"	0.113892
"China Securities Regulatory Commission"	0.111514
"Standard Chartered Bank"	0.110424
"State Administration of Taxation"	0.101202
"China National Petroleum Corporation"	0.100819
PBOC	0.100779
"commercial bank"	0.0988582
"Air China"	0.0972619
"Civil Aviation Administration of China"	0.0971425
"Industrial Bank of Japan"	0.092184
"China Unicom"	0.083121
"Sumitomo Bank"	0.0820379
auditor-general	0.0804017
"State Planning Commission"	0.0795888
PICC	0.0795135
"municipal government"	0.0781224
"Ministry of Geology"	0.076812
"China Telecom"	0.0750369
PBC	0.0739528
"State Development Planning Commission"	0.0738695
"China Eastern Airlines"	0.0735373
"Legend Group"	0.0721314
"J.P. Morgan &AMP; Co."	0.0712828
"Ministry of Information Industry"	0.0709167
"Bangkok Bank"	0.0704628
"Bank of America"	0.0678473
"Qinghua University"	0.0673386
SETC	0.0667408
"Chen Ziying"	0.0659757
CIRC	0.0659236
"HSBC Holdings"	0.0658387
"China Youth Development Foundation"	0.0652607
"Chinese Academy of Sciences"	0.0641826
"Thai Farmers Bank"	0.0639192
"Shanghai Stock Exchange"	0.0638532
"Visa International"	0.063819
"ABN AMRO"	0.0636362
"General Administration of Customs"	0.0635838
CNOOC	0.0633286
CITIC	0.0631111
Citibank	0.0628495
"European Bank for Reconstruction"	0.0627648
"All-China Federation"	0.062425
CSRC	0.061283
"Credit Suisse"	0.0608514
"American Lung Association"	0.0606965
"Huang Ju"	0.0606693
"Bank Negara"	0.0605652
"Chase Manhattan Corp."	0.0602671
"Sanwa Bank"	0.0601403
CSC	0.0593622
"Asian Development Bank"	0.0589272
"Rainbow/PUSH Coalition"	0.0582763
SSE	0.05776
"savings bank"	0.0573879
"Ministry of Education"	0.056995
"Audubon Society"	0.0565413
"Export-Import Bank"	0.0565119
"Ministry of Finance"	0.056392
"Credit Suisse First Boston"	0.0555789
"Bank Bali"	0.0555203
HSBC	0.0549889
"Ministry of Communications"	0.0547605
"State Bank of Pakistan"	0.0546568
Hunan	0.0541532
Ltd	0.0541293
Ericsson	0.054111
"Rotary International"	0.0538025
"Shanghai Composite Index"	0.05356
"Chase Manhattan Bank"	0.0535494
"Zhejiang University"	0.0532274
"State Economic and Trade Commission"	0.053227
"Homo erectus"	0.0531192
"Macao Government"	0.0527355
"Ministry of Agriculture"	0.0527175
CNPC	0.0526739
"insurance firm"	0.0525671
"World Jewish Congress"	0.0523075
Xinhua/OANA	0.0522059
state-owned	0.051953
"Beijing University"	0.0519041
"Bank of Zambia"	0.0516231
"Deutsche Bank AG"	0.0515905
"Bank of Japan"	0.0513218
IFC	0.051291
"Ministry of Civil Affairs"	0.0511887
"Zhou Guangzhao"	0.0509547
"Xinhua News Agency"	0.0508101
"Bank of Italy"	0.0505588
"U.S. Immigration and Naturalization Service"	0.0504867
Ltd.	0.05006
"Softbank Corp."	0.0499384
"Ministry of Public Security"	0.0497706
"Jia Qinglin"	0.0495102
"World Petroleum Congress"	0.0494994
COSCO	0.0493127
"First Union Corp."	0.0490837
"Tian Jiyun"	0.0488212
Menatep	0.0487379
"Bank of Thailand"	0.0486372
"Air Line Pilots Association"	0.0485662
"Long-Term Credit Bank"	0.0483556
Pertamina	0.0482408
Lukoil	0.0481391
"Ministry of Public Health"	0.0480986
Aeroflot	0.0480875
"Dai Xianglong"	0.0480645
"American Association of Retired Persons"	0.0477992
"Ministry of Posts"	0.0477959
"New York Public Library"	0.0476188
"financial organization"	0.0473957
Siemens	0.0466311
Gansu	0.0466101
"People's Liberation Army"	0.0464535
Buhe	0.0463017
"Fudan University"	0.0461516
"Dai Bingguo"	0.0460662
Unilever	0.0458751
FEMA	0.0457846
"Credit Lyonnais"	0.0455745
CCPIT	0.0454864
"Department of Health and Human Services"	0.045383
Unicom	0.0453368
"Dai-Ichi Kangyo Bank"	0.0451719
"Wan Guoquan"	0.0451094
"Morgan Stanley"	0.0450926
IDB	0.0449307
"Philippine Central Bank"	0.0449254
"Federal Reserve Bank of New York"	0.0447767
"National Academy of Sciences"	0.04474
"Information Office"	0.0447317
"Daewoo Group"	0.0446126
"Guizhou Province"	0.0445729
"Cambodian King Norodom Sihanouk"	0.0445542
NEC	0.0445052
"Association of Flight Attendants"	0.0444696
Cargill	0.0442003
"Ministry of Supervision"	0.0441281
"Central Bank of Nigeria"	0.0441091
"Columbia Records"	0.0439407
HKMA	0.043895
"Zhang Wannian"	0.0437436
CPAFFC	0.0436753
"Joint Liaison Group"	0.0436567
Sinopec	0.0436406
"UBS AG"	0.043592
"U.S. Golf Association"	0.0435348
Fujian	0.0434346
Elf-Aquitaine	0.0433895
"General Services Administration"	0.0433663
"GTE Corp."	0.0433607
"finance company"	0.0433252
"Cao Zhi"	0.0433243
"Wang Daohan"	0.0433108
EBRD	0.0432824
"Ministry of Foreign Trade and Economic Cooperation"	0.043247
"Xiong Guangkai"	0.043092
"China Central Television"	0.0428616
"Inter-American Development Bank"	0.04282
"Ministry of Forestry"	0.0428015
"International Rescue Committee"	0.042723
Paribas	0.0426317
"Bankers Trust Corp."	0.0425574
"Qiao Shi"	0.0424597
ADB	0.0424173
"United Nations Children's Fund"	0.0422625
DKB	0.0422607
"Cheng Siwei"	0.0421347
"Koo Chen-fu"	0.0421146
"International Criminal Tribunal for Rwanda"	0.0420927
"Arthur Andersen"	0.0418893
Alcatel	0.0418561
"Bank of Israel"	0.0417995
Comelec	0.0417381
iXL	0.0417065
"computer giant"	0.0415285
"United Nations Educational, Scientific and Cultural Organization"	0.0412763
"American Jewish Committee"	0.0412525
Spector	0.0411972
"Hu Jintao"	0.0410887
"Warburg Dillon Read"	0.041008
))
("China Council" (desc 3916.61) (sims
"Association for Friendship"	0.21841
"All-China Youth Federation"	0.202467
"All-China Journalists Association"	0.195995
"China Society"	0.174001
"China Association for Science"	0.166243
"Hong Kong Trade Development Council"	0.165035
"Ministry of Science"	0.164439
"National Tourism Administration"	0.164232
"China Federation"	0.162219
"State Administration of Internal Trade"	0.161775
"Development Research Center"	0.157876
"Ministry of Information Industry"	0.152055
"Beijing Municipal Government"	0.15204
"Ministry of Internal Trade"	0.147149
"All-China Federation"	0.145313
"Shanghai Municipal Government"	0.144521
"Ministry of Foreign Trade and Economic Cooperation"	0.144051
"Ministry of Foreign Trade"	0.142015
"State Development Planning Commission"	0.138182
"China National Tourism Administration"	0.136891
CPAFFC	0.13684
"Chinese Olympic Committee"	0.13511
"State Economic and Trade Commission"	0.134577
"Civil Aviation Administration of China"	0.134376
"Ministry of Education"	0.133277
ACFTU	0.131133
"Chinese Academy of Sciences"	0.130643
"Hong Kong Federation"	0.130531
"Ministry of Personnel"	0.12849
"State Planning Commission"	0.127802
"Association for Relations Across"	0.127614
"Industrial and Commercial Bank of China"	0.126462
"Ministry of Public Security"	0.126034
"National Committee"	0.120571
ACWF	0.119592
"Ministry of Supervision"	0.118166
"Foreign Affairs Committee"	0.118113
"Chinese Society"	0.117894
"municipal government"	0.117581
"Bank of China"	0.115709
"Ministry of Culture"	0.114471
"Inter-Parliamentary Union"	0.113941
"China Construction Bank"	0.113892
"Red Cross Society"	0.113401
"State Administration of Cultural Heritage"	0.111927
"Asia Society"	0.111401
CCPIT	0.108273
"State Education Commission"	0.107877
"Ministry of Finance"	0.107847
MOFTEC	0.106615
"State Science and Technology Commission"	0.106533
"China Securities Regulatory Commission"	0.10626
"Xinhua News Agency"	0.105127
"China National Petroleum Corporation"	0.10457
"Xinhua News Agency Hong Kong Branch"	0.10286
CITIC	0.102399
"Agricultural Bank of China"	0.101497
"China Youth Development Foundation"	0.101463
"General Administration of Customs"	0.100003
"Central Committee"	0.0997719
"Chinese Foreign Ministry"	0.0996653
"Information Office"	0.0993117
"State Environmental Protection Administration"	0.0986989
"Construction Bank of China"	0.0981778
"Party School"	0.0979874
"Ministry of Agriculture"	0.0970856
"People's Bank of China"	0.0960348
"Chinese Academy of Social Sciences"	0.0947657
"State Bureau of Environmental Protection"	0.0930148
"Publicity Department"	0.0925896
"Ministry of Posts"	0.0924375
"Ministry of Labor"	0.0915638
"State Administration for Industry"	0.0910556
"Chinese government"	0.0902902
"CPPCC National Committee"	0.0902716
"Ministry of Water Resources"	0.089878
"United Front Work Department"	0.0898197
"Ministry of Railways"	0.0894406
"Ministry of Construction"	0.0894357
"Taiwan Affairs Office"	0.0890956
"State Forestry Administration"	0.0888335
ARATS	0.0883526
ICBC	0.0861587
"Ministry of Land"	0.0858506
"Ministry of Health"	0.0842747
"World Jewish Congress"	0.0836169
"Chinese Academy of Engineering"	0.0822367
"United Nations Industrial Development Organization"	0.0815532
"State Administration of Foreign Exchange"	0.0802553
"Hong Kong Tourist Association"	0.0801357
"Commerce and Industry"	0.0798923
"Ministry of Public Health"	0.0792378
"Tourism Authority of Thailand"	0.0792071
CAS	0.078787
"United Nations Educational, Scientific and Cultural Organization"	0.078543
"State Administration of Taxation"	0.0785042
"International Federation"	0.0776321
"Ministry of Justice"	0.0773742
"Bank of Communications"	0.0771978
"Cambodian People's Party"	0.076952
"Ministry of Communications"	0.0766826
"NPC Standing Committee"	0.0760664
"World Economic Forum"	0.0756415
"International Trade"	0.0754449
"African Development Bank"	0.0751109
"Global Environment Facility"	0.0749786
"Canadian International Development Agency"	0.0748396
"Kenya African National Union"	0.0746977
"League of Women Voters"	0.0746835
"Provisional Urban Council"	0.0742828
"Asian Development Bank"	0.0737891
"Shi Guangsheng"	0.0736455
"Air Line Pilots Association"	0.0735272
"International Department"	0.0734112
CNOOC	0.0730144
PICC	0.072804
"China Central Television"	0.0726203
"Ford Motor Company"	0.0718832
"Central Commission for Discipline Inspection"	0.0718803
"Organizing Committee"	0.0718162
"Great Hural"	0.0716156
"Democratic Leadership Council"	0.0714182
"Congress (NPC) Standing Committee"	0.0711442
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BOC	0.0707996
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CCF	0.0695684
"Commission on Presidential Debates"	0.0690546
"International Society"	0.0689083
ESCAP	0.068137
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FIVB	0.0676749
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SPC	0.0666956
"Tang Jiaxuan"	0.0663189
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CCB	0.066065
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ECA	0.0655228
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"Freedom Forum"	0.0638751
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"National Council of Churches"	0.0638118
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IGAD	0.0628381
"Legend Group"	0.0628139
"Ministry of Forestry"	0.0627355
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CNTA	0.0621031
"National Council"	0.0617759
"Beijing Municipal Committee"	0.0615128
CFA	0.0614781
"Department of Commerce"	0.0612666
"United Nations Environment Program"	0.0611525
"Council on Foreign Relations"	0.0611048
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Yukos	0.0604778
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TDC	0.060159
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"Academy of Motion Picture Arts"	0.059907
"Rotary International"	0.0599036
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"International Badminton Federation"	0.0597558
"State Law and Order Restoration Council"	0.0594383
"United Nations Educational"	0.0592041
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"popular front"	0.058157
HKTA	0.0578734
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UNICEF	0.0575138
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"Congress Standing Committee"	0.0574742
"planning commission"	0.0572759
"American Petroleum Institute"	0.0571853
"Visa International"	0.0571206
"United Nations Conference on Trade and Development"	0.0570049
"Pakistan Muslim League"	0.0569446
"International Amateur Athletics Federation"	0.0567975
"Ministry of Transport"	0.0566223
"Recording Industry Association of America"	0.0565728
"Funcinpec Party"	0.0562288
"International Amateur Athletic Federation"	0.0560512
"International Association of Machinists"	0.0559252
))
("China Daily" (desc 15485.9) (sims
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"Business Weekly"	0.211237
"South China Morning Post"	0.210661
"Straits Times"	0.200719
"Egyptian Gazette"	0.199612
"Jerusalem Post"	0.198032
Antara	0.192382
"Beijing Daily"	0.19234
"Bangkok Post"	0.187345
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"Economic Daily"	0.168068
"New Light"	0.167838
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"Sydney Morning Herald"	0.166442
"Daily Star"	0.166253
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"China Youth Daily"	0.161275
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Haaretz	0.156221
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al-Hayat	0.155093
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"Business Day"	0.149147
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"New Vision"	0.148567
"Daily Nation"	0.147962
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"New Nigerian"	0.145078
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Granma	0.144528
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IRNA	0.138707
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Kommersant	0.136919
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Tanjug	0.13595
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"Daily News"	0.131238
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"The New Vision"	0.128674
Lusa	0.12696
"Rwanda News Agency"	0.126321
"Daily Mail"	0.125866
"El Pais"	0.125371
Petra	0.125038
"News Agency of Nigeria"	0.124581
Al-Ahram	0.124468
"Yediot Ahronot"	0.124043
"Israel Radio"	0.12381
daily	0.123357
"Radio Uganda"	0.122933
Angop	0.121888
MENA	0.121596
"Agence France-Presse"	0.121438
"Korean Central News Agency"	0.121232
"Alam Al Yom"	0.120947
"Rodong Sinmun"	0.120818
"Kathmandu Post"	0.120341
"Beijing Youth Daily"	0.119922
Tass	0.119804
"Daily Telegraph"	0.119802
WAM	0.11872
Herald	0.117774
"Press Trust of India"	0.117569
"Der Spiegel"	0.117359
Kyodo	0.117201
"Khaleej Times"	0.116834
Sowetan	0.116519
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"Dow Jones Newswires"	0.115481
"USA TODAY"	0.114932
"International Business Daily"	0.114347
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"Financial Mail"	0.113651
Ansa	0.113209
"El Mundo"	0.112708
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Reforma	0.112013
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"Al Ahram"	0.110162
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"Washington Post"	0.108639
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"Wall Street Journal"	0.108105
BS	0.106688
Times	0.105936
"Post Express"	0.105226
"Anatolia News Agency"	0.104404
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"East African"	0.104133
"Nihon Keizai"	0.103848
Asahi	0.103397
Politika	0.103066
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KPL	0.101703
newspaper	0.100928
Itar-Tass	0.100797
Maariv	0.100551
"news agency"	0.100165
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"New York Post"	0.0995039
Al-Thawra	0.099389
RSS	0.0993662
Notimex	0.0991635
MTI	0.0974465
"Dallas Morning News"	0.0972569
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PTI	0.0950688
Hurriyet	0.094714
Interfax	0.0945157
"Denver Post"	0.0941453
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L'Equipe	0.093076
telegraph	0.0907218
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SAPA	0.0868749
Guardian	0.0857451
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Malaya	0.0842468
weekly	0.0841545
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gazette	0.0820485
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Sera	0.0794337
INA	0.0792084
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Salam	0.0747322
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Izvestia	0.0739174
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Lancet	0.0727172
"Detroit News"	0.0718038
"Bloomberg News"	0.071797
APP	0.0709796
Newsweek	0.0705751
KUNA	0.0700518
"Arizona Republic"	0.0699504
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Eurostat	0.0686518
Xinhua	0.0678171
Dominion	0.0676157
"Press Trust"	0.0672505
ATA	0.0662329
journal	0.0660175
"National Association of Realtors"	0.0659017
"San Francisco Chronicle"	0.0658457
"Houston Chronicle"	0.0655844
BBC	0.0651517
edition	0.0638868
"roll call"	0.0636128
tabloid	0.0634715
"International Herald Tribune"	0.0622919
"news service"	0.0620625
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("China Daily Business Weekly" (desc 1330.43) (sims
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"Thai News Agency"	0.303754
"Khaleej Times"	0.294374
"Ghana News Agency"	0.272257
"Egyptian Gazette"	0.271423
"Macao Daily News"	0.271255
"Gulf News"	0.269203
"Ethiopian Herald"	0.266149
Sowetan	0.252572
"Jordan Times"	0.235219
"Beijing Daily"	0.234501
"East African Standard"	0.229028
"Iran News"	0.22757
"Business Weekly"	0.22747
"Jakarta Post"	0.225536
"Business Day"	0.22521
"Turkish Daily News"	0.224194
"Cyprus News Agency"	0.222718
"Tehran Times"	0.217387
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"Al Hayat"	0.211881
Angop	0.210949
"Kyodo News"	0.210362
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"New Vision"	0.208409
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al-Hayat	0.200202
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"Daily Times"	0.196053
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Al-Ahram	0.189307
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"New Light"	0.186272
"Business Times"	0.185808
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"Zambia News Agency"	0.185514
"Post Express"	0.185264
"Vietnam News Agency"	0.18525
"South China Morning Post"	0.183869
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"Moscow Times"	0.182868
Noticias	0.182726
"Daily Nation"	0.181167
"Bangkok Post"	0.178442
Tass	0.175394
Lusa	0.172661
"New Nigerian"	0.172104
"Zambia Daily Mail"	0.1694
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Malaya	0.166289
Antara	0.162544
"The Monitor"	0.159764
KPL	0.159344
"China Youth Daily"	0.158958
Ansa	0.158765
Haaretz	0.157952
ATA	0.15783
Kyodo	0.157757
"East African"	0.157636
"News Agency of Nigeria"	0.155237
"Athens News Agency"	0.152831
"China Daily"	0.147804
"Iraqi News Agency"	0.147132
Hurriyet	0.146
BS	0.145619
"Islamic Republic News Agency"	0.141468
MTI	0.139173
"Middle East News Agency"	0.138479
"Anatolia News Agency"	0.138441
PTI	0.137797
"Wenhui Daily"	0.137054
"Sydney Morning Herald"	0.134948
"Seattle Times"	0.134166
Salam	0.134011
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Bernama	0.133414
"U.S. Commerce Department"	0.133087
Petra	0.13071
Kommersant	0.130131
"National Association of Realtors"	0.128745
"British Broadcasting Corporation"	0.128201
RSS	0.128043
"Daily Telegraph"	0.127626
"Dow Jones Newswires"	0.125352
Eurostat	0.124981
"The New Vision"	0.124794
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"Guangming Daily"	0.123148
"Le Figaro"	0.122762
WAM	0.122137
Tanjug	0.120859
"Beijing Youth Daily"	0.119153
IRNA	0.118455
"Statistics Canada"	0.116494
SAPA	0.113616
"Israel Radio"	0.113608
"Washington Times"	0.112822
"International Business Daily"	0.112501
AFP	0.112012
Notimex	0.110337
Dominion	0.108936
"Dallas Morning News"	0.108702
"Detroit News"	0.107948
"Daily Mail"	0.107726
MidCap	0.105749
MENA	0.103174
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"Daily News"	0.099445
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"Nihon Keizai"	0.0992115
"State Statistics Bureau"	0.0963464
"Central Bureau of Statistics"	0.0963335
"Denver Post"	0.0950572
"Financial Times"	0.0942624
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Maariv	0.0920747
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"Conference Board"	0.0890411
ABS-CBN	0.0885522
APP	0.0874906
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"United Press International"	0.0843973
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"Detroit Free Press"	0.0833457
"Census and Statistics Department"	0.0819518
"Boston Herald"	0.0818526
"Los Angeles Times"	0.0814384
"Commerce Department"	0.0807374
Itar-Tass	0.0803104
Jana	0.0802875
CTV	0.0796073
"Bank of Korea"	0.0793798
NTV	0.0792239
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"USA TODAY"	0.0784992
"Washington Post"	0.0778716
"Information Center"	0.0770343
"National Post"	0.0769022
Anatolia	0.075845
"Chicago Tribune"	0.0753136
CNA	0.0750019
Inquirer	0.0749309
"New York Post"	0.0747982
"Hartford Courant"	0.0746127
"Philadelphia Inquirer"	0.0745629
TC	0.073992
Asahi	0.0730719
Politika	0.0726705
L'Equipe	0.07216
Spiegel	0.0720972
NHK	0.071833
"NAPA @@@"	0.0712971
"Miami Herald"	0.0711249
BBC	0.0703185
"press agency"	0.0689578
"Labor Department"	0.0687661
"New Straits Times"	0.0681154
newsmagazine	0.06811
Yomiuri	0.067709
"Yomiuri Shimbun"	0.0672286
Bild	0.066974
"Yediot Ahronot"	0.0655374
APA	0.0646969
"Census Bureau"	0.0634951
Yastrzhembsky	0.0631896
"Chicago Sun-Times"	0.0621219
Reforma	0.0621199
Sha	0.0612982
"San Antonio Express-News"	0.0611874
"Asahi Shimbun"	0.0600628
"Nielsen Media Research"	0.0597039
"Boston Globe"	0.0583613
IDC	0.0580934
"State Statistical Bureau"	0.0575044
ISTAT	0.0571219
"Jerusalem Media and Communication Center"	0.0569341
Sera	0.0567745
Yazdi	0.0556662
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("China Democracy Party" (desc 4166.54) (sims
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"United Democratic Movement"	0.124047
"National League for Democracy"	0.111672
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"Real IRA"	0.101674
"Kurdish Workers Party"	0.100308
"opposition party"	0.0992691
"Nahdlatul Ulama"	0.0919927
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"feminist movement"	0.0886593
Otpor	0.087457
PICC	0.085857
"Falun Gong"	0.0851493
"World Church"	0.0851419
"Wang Youcai"	0.084459
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"Zapatista National Liberation Army"	0.0828626
NLD	0.0821554
"Iraqi National Congress"	0.0810556
"Democratic Leadership Council"	0.0808419
"New Aspiration Party"	0.0801471
"Pakistan Muslim League"	0.0800785
"Election Committee"	0.0795918
"Pan Africanist Congress"	0.079438
NP	0.0793201
"Cuban American National Foundation"	0.0786943
mujahedeen	0.0780695
"Moro National Liberation Front"	0.0776889
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"Herri Batasuna"	0.076927
"Operation Rescue"	0.075795
"Aryan Nations"	0.0756773
"Kurdish Workers"	0.075404
"New People's Army"	0.0752536
"Democratic Action"	0.0750225
"Rainbow/PUSH Coalition"	0.0744047
sect	0.0732994
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"Orange Order"	0.0726391
Fatah	0.0722685
"National Democratic Alliance"	0.072156
"Islamic Welfare Party"	0.0718766
"United National Independence Party"	0.0717618
"Armed Islamic Group"	0.0714188
government-in-exile	0.0709564
KNU	0.0705843
ANC	0.0705637
CCB	0.0700232
"popular front"	0.0699782
"Aum Shinrikyo"	0.0699671
"Center Party"	0.0694782
MDC	0.0692912
"African Union"	0.0691116
"Alcoholics Anonymous"	0.0690936
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"military commission"	0.0686178
Lakas	0.0685513
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"African National Congress"	0.0676804
ICBC	0.067604
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"Judicial Watch"	0.0673497
"Congolese Rally"	0.0669215
"Ulster Unionist Party"	0.0667407
PAC	0.0665124
Klan	0.066178
"Turkish Republic"	0.0661152
"National Front"	0.064801
"Bharatiya Janata Party"	0.0645303
"Inkatha Freedom Party"	0.0643737
"District Council"	0.0642326
NAACP	0.0641975
ILGO	0.0639566
"Andean Group"	0.0638358
"Warsaw Pact"	0.0634095
"political movement"	0.0630154
"secret society"	0.0629281
"National Religious Party"	0.0628443
Hamas	0.0625761
PKK	0.0624901
"New National Party"	0.0624036
FALN	0.0621995
"Islamic Movement"	0.0620558
"Canadian Alliance"	0.0618271
"Log Cabin Republicans"	0.0611671
"Congressional Black Caucus"	0.0611166
MKO	0.0609767
"Cambodian People's Party"	0.0608634
"Union of Right Forces"	0.0607315
UNP	0.0606982
PBOC	0.060618
Internet@	0.0604827
Golkar	0.0603764
MQM	0.0603554
PDP	0.0601141
"Bangladesh Nationalist Party"	0.0600579
Mensa	0.0597497
WNBF	0.0595315
"Caribbean Community"	0.0592546
"Welfare Party"	0.0592001
"customs union"	0.0591636
SPDC	0.0589584
"Kosovo Verification Mission"	0.0589459
Inkatha	0.0588624
"work group"	0.0586485
Jamaat-e-Islami	0.0585846
"Green Party"	0.0584686
Yabloko	0.0584163
"American Football League"	0.0579657
"Sam Rainsy Party"	0.0577474
"Operation Lifeline Sudan"	0.0577148
"reform movement"	0.057552
Greenpeace	0.0575131
"Provisional Legislative Council"	0.057502
"Expo @@@@"	0.057185
"Popular Party"	0.0571709
"Ku Klux Klan"	0.0570699
"Socialist Party"	0.0569907
"Sierra Club"	0.0569636
"Social Democratic"	0.0569254
MMD	0.0568692
"Republican House"	0.0568243
"social group"	0.0567696
PBC	0.0564002
UF	0.0563007
"Kosovo Liberation Army"	0.0560287
"United Development Party"	0.0559429
"Lou Savarese"	0.0559261
"Russian Communist Party"	0.0559135
"National Thoroughbred Racing Association"	0.055907
"Serbian Radical Party"	0.0558042
taskforce	0.055789
"Fourth World Conference"	0.0557258
"Awami League"	0.0554492
"Christian Coalition"	0.0553659
Scientology	0.0553002
Ulema	0.0551629
"Xu Wenli"	0.0551561
G-@@	0.0546673
Qin	0.0545963
"Islamic Resistance Movement"	0.0545831
KKK	0.0542819
"Liberation Tigers"	0.0542262
"American Civil Liberties Union"	0.0541428
AmCham	0.0540882
"Freedom Union"	0.0538455
"steering committee"	0.053841
PPP	0.0537601
BOC	0.0536624
CCM	0.0536557
"Congress Party"	0.0533275
eco	0.0532339
"Abu Sayyaf"	0.0530702
"Earth Day"	0.0530409
FTAA	0.0530096
"PLO Executive Committee"	0.0529217
"Constitutional Assembly"	0.0529113
"Liberal Party"	0.0528744
NAM	0.0528053
CAS	0.0527329
KPU	0.052725
"Christian Democrats"	0.052576
BJP	0.0525262
CPP	0.0525254
"United Republic of Tanzania"	0.0524493
"Supreme Council"	0.0523299
"Independence Party"	0.0521872
"Tupac Amaru Revolutionary Movement"	0.0521337
Lakas-NUCD	0.0520849
PML-N	0.0520379
"Democratic Unionist Party"	0.0519454
"Indy Racing League"	0.0519356
IFP	0.0516085
ETA	0.0515467
"National Liberation Army"	0.0514515
"Irish Republican Army"	0.0514418
"Mormon Church"	0.0514326
"Dallas Burn"	0.0513637
GCC	0.0512602
"armed service"	0.0511924
"New York Public Library"	0.0511695
"paramilitary organization"	0.0511268
"National Alliance"	0.050814
AEC	0.0507651
held	0.0505677
PDI	0.0502875
EAC	0.050274
MRTA	0.0502731
RCD	0.0500998
"Nationalist Party"	0.0500808
ASEM	0.0500093
"Moro Islamic Liberation Front"	0.0500017
NSC	0.0499876
"National Party"	0.0499595
"international criminal court"	0.049938
"United Malays National Organization"	0.0498981
CMAG	0.049828
PCF	0.0497192
CSC	0.0495521
))
("China Eastern Airlines" (desc 1973.33) (sims
"Air China"	0.214035
"China Southern Airlines"	0.206578
"Turkish Airlines"	0.158614
"Delta Airlines"	0.140347
Lufthansa	0.138746
"British Airways"	0.13112
"Eastern Airlines"	0.13099
"Ethiopian Airlines"	0.129033
"China Airlines"	0.125455
"El Al"	0.12436
"Singapore Airlines"	0.114804
"Bank of Communications"	0.11256
"Indian Airlines"	0.109098
Aeroflot	0.108251
"Cathay Pacific"	0.107397
"Kenya Airways"	0.104643
"Air India"	0.0985019
Qantas	0.0982041
"Vietnam Airlines"	0.0979947
Swissair	0.0973641
EgyptAir	0.0964555
"Japan Airlines"	0.0963361
Iberia	0.0940768
"Korean Air"	0.0931289
JAT	0.0922116
Dragonair	0.0916384
"SBC Communications Inc."	0.0893966
Omnipoint	0.0881164
"Southwest Airlines"	0.0875788
"Industrial and Commercial Bank of China"	0.0875738
"Northwest Airlines"	0.0861297
"Trans World Airlines"	0.0850334
"South African Airways"	0.0848652
"Delta Air Lines"	0.0845111
"China National Petroleum Corporation"	0.0842433
"Air France"	0.0824857
"Fudan University"	0.0821297
"Wenhui Daily"	0.0809685
"America West Airlines"	0.0802393
"Cathay Pacific Airways"	0.07935
"Indian Air Force"	0.0792548
JetBlue	0.0787215
CNOOC	0.0784311
"Chevron Corp."	0.077269
Comair	0.0765142
Garuda	0.0753192
"Gulf Air"	0.0752706
USAir	0.0741195
"China Construction Bank"	0.0735373
Sabena	0.0735348
"American eagle"	0.0726053
"Alaska Airlines"	0.07251
"Malaysia Airlines"	0.0722272
"Construction Bank of China"	0.0722061
KLM	0.0713321
"Air Lanka"	0.0708929
Alitalia	0.0705224
"Royal Air Force"	0.0699059
Aeromexico	0.0669126
"Air Canada"	0.0652878
"China Telecom"	0.0646234
"United Airlines"	0.0638836
"American International Group"	0.0636899
"Continental Airlines"	0.063118
"Bank of China"	0.0630959
JAL	0.0629793
"Thai Airways"	0.0628092
ICBC	0.0627378
"Daewoo Group"	0.0623795
IBRA	0.0623662
"General Electric Co."	0.0622302
"Mattel Inc."	0.0616685
Novartis	0.0613227
"Philippine Airlines"	0.0611885
"Thai Airways International"	0.0611568
"Virgin Atlantic"	0.0609015
Ltd	0.0605877
C-@@@	0.0601594
"Federated Department Stores"	0.0596064
"AMR Corp."	0.0595913
CSX	0.0593777
"MCI Worldcom Inc."	0.0591855
"National Grid"	0.0589731
CNPC	0.058531
"Siemens AG"	0.0581567
"Long-Term Credit Bank"	0.057864
TWA	0.0577996
"Allied Pilots Association"	0.0576895
CITIC	0.0576296
"Nippon Telegraph"	0.0572382
"China Unicom"	0.0571431
"Airbus Industrie"	0.0570384
"sugar refinery"	0.0567421
C-@@	0.0566162
"Times Co."	0.0566068
"Air Line Pilots Association"	0.0564196
"Prudential Insurance Co."	0.0562784
CIRC	0.0562772
"Dow Jones &AMP; Co."	0.0562128
"British Telecom"	0.055826
Konka	0.0556646
"Exxon Corp."	0.0556502
turboprop	0.0556403
"Ford Motor Company"	0.0555821
AIRTRAN	0.0549854
CCB	0.0549339
BOC	0.0548319
"People's Bank of China"	0.0547926
"State Development Bank"	0.0545979
"BankAmerica Corp."	0.0544346
ATC	0.0543103
Asa	0.0542054
Equifax	0.0539915
"New York Times Co."	0.0538953
"GE Capital"	0.0538403
"Agricultural Bank of China"	0.0538222
MetLife	0.0537132
"Motorola Inc."	0.0533675
A@@@-@@@	0.0529375
X-@@	0.0528542
"Sony Corp."	0.0527116
"Visa International"	0.0523096
WPP	0.0521678
Sinopec	0.0520665
"US Airways"	0.0520647
"Pepsico Inc."	0.0519825
ENTERGY	0.0518666
"Atlantic Richfield"	0.0518482
Il-@@	0.0516497
Sumitomo	0.0515603
"Lockheed Martin Corp."	0.0515544
"Nature Conservancy"	0.0514846
"American Airlines"	0.0514485
Eximbank	0.0514025
"France Telecom"	0.0513969
SU-@@	0.0513348
Fedex	0.0513125
KNU	0.0512328
"BellSouth Corp."	0.0509611
"International Business Machines Corp."	0.0509336
"U.S. Air Force"	0.0508757
"United Parcel Service"	0.0508293
Adelphia	0.0503954
ValuJet	0.0501919
Interpublic	0.0501245
SAA	0.0500524
PBOC	0.0499927
AHP	0.0499832
"British Aerospace"	0.049965
"UAL Corp."	0.0499308
"Gap Inc."	0.0498446
"Philip Morris Cos."	0.0497491
Pirelli	0.0496412
Daimler-Benz	0.0496227
Mig	0.0496221
"CBS Corp."	0.0495161
PICC	0.0494972
UTA	0.0490934
"shipping company"	0.0490931
DC-@@	0.0490475
IDG	0.0487132
TYCO	0.048425
"Bangladesh Bank"	0.048387
Citibank	0.0483199
AN-@@	0.048254
"Hang Seng Bank"	0.0482225
Bulog	0.048109
"J.P. Morgan &AMP; Co."	0.0480326
"Time Warner Inc."	0.0478966
BankAmerica	0.0477682
"Computer Associates"	0.0477133
"Hyundai Group"	0.047645
"Federal Express"	0.047623
"insurance firm"	0.0476225
"Bank of America"	0.047553
"Hongkong Telecom"	0.0474213
Biman	0.0473654
"Electoral Commission"	0.0469752
GPU	0.0469549
"United Nations Educational, Scientific and Cultural Organization"	0.0468998
emachines	0.0468064
"savings bank"	0.0467011
"Boston Scientific"	0.0466901
"International Brotherhood"	0.0466728
Laudrup	0.0466074
Airlines	0.0464524
"Hearst Corp."	0.0464521
Cablevision	0.0463836
SAS	0.0462854
"Zhejiang University"	0.0462724
"Sumitomo Bank"	0.0461938
"SBC Communications"	0.046094
"Cox Communications"	0.0458899
"MCI WorldCom"	0.0458586
Corning	0.0457776
"United State"	0.0456722
VEBA	0.0454967
"Air France Concorde"	0.0452603
"Sprint PCS"	0.0452585
"International Committee"	0.045095
))
("China Federation" (desc 1804.24) (sims
"All-China Federation"	0.329117
"Hong Kong Federation"	0.22716
"All-China Youth Federation"	0.175485
"China Association for Science"	0.170708
"China Society"	0.166441
"China Council"	0.162219
"Association for Friendship"	0.147484
"China National Tourism Administration"	0.145192
"All-China Journalists Association"	0.138493
ACFTU	0.136392
"Asia Society"	0.132344
"Chinese Society"	0.12995
"Congress (NPC) Standing Committee"	0.127209
"National Committee"	0.122064
"Publicity Department"	0.117544
"Foreign Affairs Committee"	0.115617
"Inter-Parliamentary Union"	0.112061
"CPPCC National Committee"	0.109474
"State Peace and Development Council"	0.109364
"National Tourism Administration"	0.108653
"military commission"	0.106905
"State Law and Order Restoration Council"	0.105084
"Shanghai Municipal Government"	0.103924
"China Securities Regulatory Commission"	0.100667
"Development Research Center"	0.0982523
"Chinese People's Political Consultative Conference"	0.0974754
"China Youth Development Foundation"	0.0966792
"National Defense Commission"	0.0949227
"Freedom Forum"	0.0929935
"Hong Kong Trade Development Council"	0.0923434
"Central Commission for Discipline Inspection"	0.0922153
"State Economic and Trade Commission"	0.0910405
"Association for Relations Across"	0.0905334
"Ministry of Foreign Trade and Economic Cooperation"	0.090173
"Beijing Municipal Government"	0.0895331
CPAFFC	0.0891386
"International Society"	0.0878173
"United Front Work Department"	0.0868534
"Organizing Committee"	0.0867018
"World Intellectual Property Organization"	0.0865128
"Ministry of Culture"	0.085778
"Organization Department"	0.0855431
"Provisional Urban Council"	0.0851411
"Ministry of Internal Trade"	0.0844794
"Ninth National Committee"	0.0830989
"U.N. Environment Program"	0.0820911
"Economic Commission for Africa"	0.0816261
"International Day"	0.0813508
"Chinese Olympic Committee"	0.0809909
"State Bureau of Environmental Protection"	0.0805771
"National Geographic Society"	0.0787578
"Commission on Presidential Debates"	0.0787337
"Democratic Leadership Council"	0.0787318
"Red Cross Society"	0.0781869
"International Federation"	0.077929
"Ministry of Science"	0.0774507
"United Nations Educational"	0.0774493
CITIC	0.0772858
"Revolutionary Command Council"	0.0769811
"Chinese People"	0.0763356
"Ministry of Personnel"	0.0762042
"Party School"	0.0759021
MOFTEC	0.0754034
"Council of State"	0.0747879
"State Administration of Internal Trade"	0.0744597
"Information Office"	0.0739588
"Eighth National Committee"	0.0739104
"Ministry of Posts"	0.0738388
"Great Hural"	0.07297
"Supreme Soviet"	0.0729271
"Board of Investment"	0.0727501
"Central Committee"	0.0726675
"Hong Kong Tourist Association"	0.0725259
"World Economic Forum"	0.0715013
"Ministry of Foreign Trade"	0.0711854
CMC	0.0707514
"Ministry of Information Industry"	0.0706547
"Ford Motor Company"	0.0705069
"Congress Standing Committee"	0.0704627
"Chinese Foreign Ministry"	0.0700107
"Ministry of Justice"	0.0699968
"NPC Standing Committee"	0.0696219
"Republican Leadership Council"	0.0696194
WEF	0.0693889
"Provisional Ruling Council"	0.0693638
"National People"	0.0690831
"Ministry of Interior"	0.0690768
"Propaganda Department"	0.0688332
"Revolutionary Party"	0.0686739
"Cambodian People's Party"	0.0683314
"Global Environment Facility"	0.068291
"Ministry of Planning"	0.068058
CIRC	0.067764
"Charles Schwab &AMP; Co."	0.067538
Confederation	0.0671928
"United Nations Educational, Scientific and Cultural Organization"	0.0669485
"Chinese Academy of Social Sciences"	0.0668728
"Ministry of Agriculture"	0.066384
Yukos	0.0662015
"State Administration of Cultural Heritage"	0.0655236
"State Science and Technology Commission"	0.0649572
TDC	0.0649472
"Economic and Social Council"	0.0646913
"National Association"	0.0644957
"Central Military Commission"	0.0643635
"Hong Kong Monetary Authority"	0.0643559
CCPIT	0.0638015
CAS	0.0637208
"Jerusalem Committee"	0.0637042
IGAD	0.0630808
"Ministry of Public Health"	0.062596
"State Forestry Administration"	0.0618541
"Mark Foley"	0.0617901
"Civil Aviation Administration of China"	0.0617161
"Des Moines Register"	0.0616464
"Housing Authority"	0.0615706
"Arab Parliamentary Union"	0.0615447
"Asian Development Bank"	0.060655
"Socialist Party"	0.060579
"International Herald Tribune"	0.0601018
"Inter-American Development Bank"	0.0600874
"International Department"	0.060067
"Kenya African National Union"	0.0595627
"State Environmental Protection Administration"	0.0595597
"Second Session"	0.0594737
"Chinese Academy of Sciences"	0.059275
"Cendant Corp."	0.0591925
"National Federation"	0.0589914
"United Nations Industrial Development Organization"	0.0589771
ACWF	0.0586593
"Shanghai Branch"	0.0583608
"State Planning Commission"	0.0582955
"Securities Industry Association"	0.0576526
"Ministry of Supervision"	0.057624
CSRC	0.0576214
"Taiwan Affairs Office"	0.0575427
"House Budget Committee"	0.0574959
ESCAP	0.057331
"Russian State Duma"	0.0572936
"American Heart Association"	0.0571252
"Royal Society"	0.0569223
"Lamar Smith"	0.0568879
ICA	0.0562596
FIVB	0.0562189
planeloads	0.0560928
"Commonwealth Ministerial Action Group"	0.0557939
"National People's Congress"	0.0556602
"Academy of Motion Picture Arts"	0.05563
"Democratic National Committee"	0.0555487
"Canadian International Development Agency"	0.0554557
"Ministry of Construction"	0.055311
"Chinese government"	0.0551599
"Center for Strategic"	0.054798
"Ministry of Health"	0.054779
"United Nations Conference on Trade and Development"	0.0547032
"United Nations Environment Program"	0.054668
"CPC Central Commission for Discipline Inspection"	0.0545421
"John Boehner"	0.0540284
"Organization for Economic Cooperation and Development"	0.0539401
"Ministry of Communications"	0.0538544
"Russian Communist Party"	0.0536736
"Transparency International"	0.0533118
"Executive Committee"	0.0528295
"Legend Group"	0.0527069
NRM	0.0526959
"National Council"	0.0524177
UNESCO	0.0523674
"Credit Suisse First Boston"	0.0518587
"Tang Jiaxuan"	0.051819
"U.N. Development Program"	0.0518123
"U.S. Information Agency"	0.0517319
"Ministry of Water Resources"	0.0515123
Menatep	0.05118
"Chinese Embassy"	0.0510692
ARATS	0.0510272
"South African Communist Party"	0.0509659
"Ministry of Land"	0.0509567
"Democratic Revolution Party"	0.0508898
"Ministry of Labor"	0.0507981
HKTA	0.0507347
"Rod Thorn"	0.0506024
"Ministry of Public Security"	0.050432
"Beijing Municipal Committee"	0.0503468
"Public Security Ministry"	0.0502424
"Congressional Black Caucus"	0.0501156
"United Nations Children's Fund"	0.0499255
CPPCC	0.0498869
"National Council of La Raza"	0.0498203
planeload	0.0498185
"Ministry of Tourism"	0.049737
"Council on Foreign Relations"	0.0493857
"popular front"	0.0492099
ECA	0.0491893
"Russian Duma"	0.0491211
airdrop	0.048892
"Bank of Montreal"	0.0488245
"World Jewish Congress"	0.0485628
"Tourism Authority of Thailand"	0.0485511
SPC	0.0484766
"Jim Leach"	0.048227
))
("China National Petroleum Corporation" (desc 1316.28) (sims
CNPC	0.161215
CITIC	0.151764
CNOOC	0.150861
"Civil Aviation Administration of China"	0.149637
"Hyundai Group"	0.125989
"Legend Group"	0.123588
"Ministry of Water Resources"	0.115227
YankeeNets	0.114876
"Ministry of Information Industry"	0.114817
"Enron Corp."	0.114333
"All-China Journalists Association"	0.113369
"ELF AQUITAINE"	0.111689
"State Development Planning Commission"	0.111335
"State Science and Technology Commission"	0.109294
"State Economic and Trade Commission"	0.106867
"State Education Commission"	0.106388
"Ministry of Supervision"	0.105935
"Service Employees International Union"	0.105588
"Ministry of Railways"	0.105131
"China Council"	0.10457
PICC	0.104359
"China National Tourism Administration"	0.104174
PETROBRAS	0.103107
"Chinese Academy of Sciences"	0.102881
"Bank of China"	0.102351
"State Planning Commission"	0.100952
"China Construction Bank"	0.100819
Sinopec	0.0992242
CPAFFC	0.0987201
"State Environmental Protection Administration"	0.0974399
"Air China"	0.0973725
"Industrial and Commercial Bank of China"	0.0970622
"Shanghai Municipal Government"	0.0970166
"Ministry of Communications"	0.0961403
"Development Research Center"	0.0946821
"Ministry of Education"	0.0940544
"State Forestry Administration"	0.0930286
"Ministry of Foreign Trade and Economic Cooperation"	0.0929826
"State Development Bank"	0.0925901
"Ministry of Agriculture"	0.0917607
"Urban Institute"	0.0910659
CCPIT	0.0897912
ACWF	0.0889102
SMIs	0.0864189
"Ministry of Construction"	0.0863697
"Ford Motor Company"	0.0862544
"National Abortion and Reproductive Rights Action League"	0.0861478
"China Securities Regulatory Commission"	0.0861244
"municipal government"	0.0858998
"De Beers"	0.0855677
"All-China Youth Federation"	0.0854811
"Ministry of Finance"	0.0843573
"Ministry of Public Health"	0.0843028
"China Eastern Airlines"	0.0842433
"World Petroleum Congress"	0.0841672
Unicom	0.0837035
"National Trust"	0.0836624
Aeroflot	0.0827197
"Chinese Foreign Ministry"	0.0823498
"Xinhua News Agency"	0.0819842
Pertamina	0.0819303
"China Unicom"	0.0819029
"Association for Friendship"	0.0818172
"American International Group"	0.0816644
"AMR Corp."	0.0813189
"Ministry of Labor"	0.0812913
Chinese-Indonesians	0.0810648
"Chase Manhattan Corp."	0.0807183
"Chinese Academy of Social Sciences"	0.080528
"Ministry of Justice"	0.0804792
MOFTEC	0.0802272
"Shanghai Branch"	0.080186
"Philadelphia Orchestra"	0.0795077
"National Marine Fisheries Service"	0.0793388
"Singapore Airlines"	0.0793253
"Beijing University"	0.0792876
"Turner Sports"	0.0792374
"Russian Defense Ministry"	0.0792331
CNTA	0.0789434
"Wine Institute"	0.0788446
ACFTU	0.0774012
"United Steelworkers"	0.0773752
"Charles Schwab Corp."	0.0770146
"Beijing Municipal Government"	0.0769921
Siemens	0.0767154
"All-China Federation"	0.0766397
"Federal Reserve Bank of New York"	0.0764184
"U.S. Golf Association"	0.0758977
"Continental Airlines"	0.0754736
"Chinese Olympic Committee"	0.0753946
"Lucent Technologies"	0.0750451
"Ministry of Foreign Trade"	0.0745942
"American Psychological Association"	0.0743214
"Ministry of Science"	0.0740132
NARAL	0.073797
"State Administration of Cultural Heritage"	0.0736533
"computer giant"	0.0735433
"Mitsubishi Motors"	0.0735209
"Democratic Leadership Council"	0.0734645
"Yamaichi Securities Co."	0.0732678
"Shi Guangsheng"	0.0729494
SPC	0.0727668
"United Nations Educational, Scientific and Cultural Organization"	0.0725318
OCA	0.0721751
"Siemens AG"	0.0719949
"World Bank Group"	0.0717392
"Indian Airlines"	0.071632
"CMGI Inc."	0.07123
"NEC Corp."	0.0709868
REPSOL	0.0708692
"GE Capital"	0.0705302
"Agency for International Development"	0.0704184
"Family Research Council"	0.0704013
"RAND Corp."	0.0703383
"Andean Group"	0.0701819
"Fu Quanyou"	0.0700157
"Exxon Corp."	0.0696385
CAS	0.0695329
"Thai Airways International"	0.0694895
"Ministry of Civil Affairs"	0.0692914
"General Motors Corp."	0.0692898
"BankAmerica Corp."	0.0691674
"Wu Yi"	0.0688686
"Visa International"	0.0687907
Petronas	0.0686373
"Industrial Bank of Japan"	0.0683775
"Tampa Bay Lightning"	0.0682287
"American Heart Association"	0.0680924
"American Red Cross"	0.0676179
"Shanghai Stock Exchange"	0.0675991
"Australian Olympic Committee"	0.0673325
"International Department"	0.0672529
"National Grid"	0.0669829
CCB	0.0669136
"State Administration of Foreign Exchange"	0.0668518
"Chevron Corp."	0.0666486
"Turkish Airlines"	0.0665695
"World Jewish Congress"	0.0663557
Alcatel	0.0663389
"Public Citizen"	0.0663183
CMA	0.0662188
"National Council of La Raza"	0.0662148
"State Administration of Internal Trade"	0.0661788
"Union of Concerned Scientists"	0.0661241
"Ministry of Culture"	0.0660481
"Hewlett-Packard Co."	0.0658968
"True North"	0.0658564
"African Development Bank"	0.0658484
"New York Times Co."	0.0656633
"Hu Jintao"	0.0656249
"Warner Books"	0.0656218
NTT	0.0655848
"Walt Disney Co."	0.0652016
"Chinese government"	0.0651177
"International Rescue Committee"	0.0650163
"Labor office"	0.0648624
Elf-Aquitaine	0.0648464
"Bell Labs"	0.0647597
"Urban League"	0.0646938
"Ministry of Public Security"	0.064634
SNCF	0.0645237
"U.S. Information Agency"	0.0644708
"Bank for International Settlements"	0.0643033
Cablevision	0.0641581
"U.S. Soccer Federation"	0.0640393
"National Tourism Administration"	0.0638356
"United Nations Development Program"	0.0638077
"British Petroleum"	0.0637221
"SBC Communications Inc."	0.0635846
"UAL Corp."	0.0635345
"Nomura Securities Co."	0.0635246
"Securities Industry Association"	0.0634885
"International Badminton Federation"	0.0634757
"MindSpring Enterprises"	0.0634719
Publicis	0.0634116
"Chi Haotian"	0.0633988
"Toyota Motor Corp."	0.0632644
"Recording Industry Association of America"	0.063257
"Walt Disney"	0.0631229
AutoNation	0.0630128
"Thermo Electron"	0.0628436
"World Food Program"	0.0626038
"People's Bank of China"	0.0625918
"Operation Lifeline Sudan"	0.062545
"China Telecom"	0.0625343
"Hearst Magazines"	0.0623029
"United Nations High Commissioner for Refugees"	0.0622816
"European Bank for Reconstruction"	0.0621022
"Construction Bank of China"	0.0619723
"Association of Flight Attendants"	0.0619208
Pirelli	0.0618598
Ericsson	0.0617994
Eximbank	0.0617977
"International Ski Federation"	0.0617847
"Zhejiang University"	0.0617374
"American Association of Health Plans"	0.061713
"Federated Department Stores"	0.0616152
Cargill	0.0615127
"Hang Seng Bank"	0.0614002
"University of China"	0.0611405
))
("China National Tourism Administration" (desc 1847.83) (sims
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"Civil Aviation Administration of China"	0.271346
"State Forestry Administration"	0.238814
"State Environmental Protection Administration"	0.237928
"Ministry of Foreign Trade and Economic Cooperation"	0.227655
"Ministry of Forestry"	0.225612
"Ministry of Internal Trade"	0.224625
"Ministry of Posts"	0.224557
"Ministry of Information Industry"	0.206804
"General Administration of Customs"	0.206619
"Development Research Center"	0.20458
"State Planning Commission"	0.20145
"State Bureau of Environmental Protection"	0.200379
"Xinhua News Agency Hong Kong Branch"	0.197541
"Ministry of Personnel"	0.197398
"State Administration of Cultural Heritage"	0.197236
"State Administration for Industry"	0.195216
"State Education Commission"	0.193986
"State Economic and Trade Commission"	0.19295
"Ministry of Water Resources"	0.187493
"Ministry of Construction"	0.184074
CNTA	0.18266
"Ministry of Foreign Trade"	0.182516
"State Development Planning Commission"	0.182303
"State Administration of Taxation"	0.178672
"Board of Investment"	0.176827
"National Bureau of Statistics"	0.176518
"Ministry of Agriculture"	0.175505
"Ministry of Communications"	0.174902
"Taiwan Affairs Office"	0.17301
"Israeli Foreign Ministry"	0.169885
"Ministry of Science"	0.169412
"Hong Kong Tourist Association"	0.1688
"State Statistical Bureau"	0.165873
"Ministry of Labor"	0.164439
"Hong Kong Trade Development Council"	0.162828
"People's Bank of China"	0.159277
"United Nations Industrial Development Organization"	0.158972
"Ministry of Civil Affairs"	0.158669
"State Seismological Bureau"	0.158273
"State Bureau of Cultural Relics"	0.157872
"planning commission"	0.156469
"Ministry of Culture"	0.156257
"All-China Journalists Association"	0.154308
"State Statistics Bureau"	0.153877
"China Securities Regulatory Commission"	0.152704
"Ministry of Finance"	0.15037
"Ministry of Public Security"	0.150069
"Health Ministry"	0.148361
"Ministry of Education"	0.147506
"China Youth Development Foundation"	0.147309
"State Administration of Internal Trade"	0.146943
"Ministry of Railways"	0.146759
"China Society"	0.146588
"China Federation"	0.145192
"Presidential Office"	0.144586
"Ministry of Health"	0.143855
"Ministry of Public Health"	0.143097
"Ministry of Justice"	0.142704
"State Science and Technology Commission"	0.141108
"Ministry of Industry"	0.140862
"Thai Foreign Ministry"	0.139463
"United Nations Educational, Scientific and Cultural Organization"	0.138671
"Bank of China"	0.138126
"China Association for Science"	0.137523
"Information Office"	0.137333
"Transparency International"	0.137027
"China Council"	0.136891
"All-China Youth Federation"	0.134999
"Agriculture Ministry"	0.134738
"Beijing Municipal Government"	0.133268
UNESCO	0.132449
"Thai Commerce Ministry"	0.13105
"Ministry of Trade and Industry"	0.131
MOFTEC	0.130574
"Chinese Olympic Committee"	0.128314
"Airport Authority"	0.126096
"United Nations Educational"	0.125826
"State Administration of Foreign Exchange"	0.124076
"Ministry of Land"	0.12212
"Central Bank of Kenya"	0.121682
"General Logistics Department"	0.120778
"municipal government"	0.120222
"World Tourism Organization"	0.119874
"Propaganda Department"	0.119828
"Industry Ministry"	0.119609
"World Health Organization"	0.118927
"Food and Agriculture Organization"	0.118326
"Publicity Department"	0.117891
HKTA	0.117733
"Defense Agency"	0.116683
"House Budget Committee"	0.116673
"State Flood Control"	0.115725
"Health Department"	0.115466
"Ministry of Foreign Affairs"	0.114703
"United Nations Children's Fund"	0.111697
"Shanghai Branch"	0.111396
"Chinese Society"	0.110744
"Department of Commerce"	0.110636
"Shanghai Municipal Government"	0.109723
"Department of Trade and Industry"	0.10851
"State Peace and Development Council"	0.108337
"National Economic Council"	0.10806
"Foreign Affairs Office"	0.107773
"Political Department"	0.107764
"Hong Kong Monetary Authority"	0.106858
"U.S. Census Bureau"	0.106667
"Hong Kong Federation"	0.106081
"State Council"	0.105904
"Foreign Affairs Committee"	0.105101
"China National Petroleum Corporation"	0.104174
"Ministry of Tourism"	0.103476
"World Jewish Congress"	0.102948
"Information Center"	0.102196
"Congress (NPC) Standing Committee"	0.102133
"Department of Public Health"	0.101514
"Criminal Investigation Department"	0.101236
"State Law and Order Restoration Council"	0.101148
"United Nations Population Fund"	0.100768
"American Petroleum Institute"	0.0991722
"Ministry of Economy"	0.0977964
"National Electoral Commission of Nigeria"	0.0975512
"All-China Federation"	0.0971011
PBOC	0.0970739
"Civil Aviation Authority"	0.0970545
"World Intellectual Property Organization"	0.0960067
"U.S. Information Agency"	0.0954022
CAAC	0.0953857
"African Development Bank"	0.095352
"Chinese Foreign Ministry"	0.0951347
"Russian Space Agency"	0.0946428
"Ministry of International Trade and Industry"	0.0945519
"Commerce Ministry"	0.0943704
SEPA	0.0935534
"General Political Department"	0.0933937
"Central Election Commission"	0.0928381
"U.N. Development Program"	0.0925768
"Justice Ministry"	0.0918924
"Foreign Ministry"	0.091581
ACFTU	0.0913359
"Organizing Committee"	0.0912703
"Department of Health"	0.0910242
"Ministry of Trade"	0.0904955
"International Department"	0.0902609
"Agency for International Development"	0.0901342
"British High Commission"	0.0898148
"CPPCC National Committee"	0.0892015
"Nuclear Regulatory Commission"	0.0891548
CSRC	0.0884329
"Xinhua News Agency"	0.0881347
"Ninth National Committee"	0.0877533
"United Front Work Department"	0.087499
"International Labor Organization"	0.0872163
"National Hurricane Center"	0.0870658
"Central Committee"	0.0866226
"National Election Committee"	0.0865495
"United Nations Development Program"	0.0864595
CIRC	0.0862045
"Office of Management and Budget"	0.0861928
Sami	0.0861317
"National Council of Churches"	0.0861246
"economics department"	0.0861206
"National Committee"	0.0858843
"U.S. State Department"	0.0856181
"National Abortion and Reproductive Rights Action League"	0.0851698
"Economic Commission for Africa"	0.0844487
"Chinese Academy of Social Sciences"	0.0842882
"Ministry of Planning"	0.0842157
"Inter-Parliamentary Union"	0.0840406
"Ministry of Interior"	0.0838354
"Center on Budget"	0.0838114
"National Defense Commission"	0.0833605
CMC	0.0832586
"Association for Friendship"	0.0829723
"Independent Electoral Commission"	0.0828192
"Ministry of Defense"	0.0828192
"Red Cross Society"	0.0826775
"World Food Program"	0.0824477
"Organization Department"	0.0820941
CITIC	0.0819302
"Ministry of Geology"	0.0817675
"National Transportation Safety Board"	0.0814194
CAS	0.0811004
"European Commission"	0.080265
"Congress Standing Committee"	0.0798491
"World Wildlife Fund"	0.0798468
"Association for Relations Across"	0.079723
"NPC Standing Committee"	0.0796388
"Chinese Communist Party Central Committee"	0.0796347
UNICEF	0.0796157
"Republican National Committee"	0.0795995
"military commission"	0.0795188
"Education Ministry"	0.0794455
"Islamic Development Bank"	0.0794234
"Central Commission for Discipline Inspection"	0.079366
"CPC Central Committee"	0.0790145
"Great Hural"	0.0788524
"U.S. Immigration and Naturalization Service"	0.0785882
"Hyundai Group"	0.0783889
CCPIT	0.0783336
))
("China Securities Regulatory Commission" (desc 3022.02) (sims
"State Administration of Foreign Exchange"	0.227277
"Ministry of Foreign Trade and Economic Cooperation"	0.214693
"State Economic and Trade Commission"	0.208291
"State Development Planning Commission"	0.205545
"State Planning Commission"	0.20498
"Civil Aviation Administration of China"	0.203007
"Hong Kong Monetary Authority"	0.193911
"Ministry of Foreign Trade"	0.179452
"State Education Commission"	0.179436
CSRC	0.176125
"State Environmental Protection Administration"	0.171584
"Ministry of Public Security"	0.168877
"State Administration of Taxation"	0.165034
"Ministry of Posts"	0.160302
"Chinese Olympic Committee"	0.158312
"Ministry of Education"	0.157432
"Ministry of Information Industry"	0.157345
"Bank of China"	0.154346
"China National Tourism Administration"	0.152704
"State Administration of Cultural Heritage"	0.151742
"Guardian Council"	0.148808
"Ministry of Construction"	0.146313
"Consumer Product Safety Commission"	0.145869
"General Administration of Customs"	0.140851
"Ministry of Finance"	0.140817
MOFTEC	0.140263
"All-China Federation"	0.139812
"Ministry of Public Health"	0.136067
"State Administration of Internal Trade"	0.135132
"State Forestry Administration"	0.134421
"Ministry of Labor"	0.133009
"municipal government"	0.13167
"Ministry of Agriculture"	0.131567
"Ministry of Communications"	0.130971
"Agricultural Bank of China"	0.130321
"Ministry of Culture"	0.128082
"Ministry of Science"	0.127737
"Ministry of Personnel"	0.127204
"Beijing Municipal Government"	0.127146
"Ministry of Civil Affairs"	0.12469
"Ministry of Supervision"	0.123433
"Construction Bank of China"	0.12336
"Transparency International"	0.12335
"State Science and Technology Commission"	0.122442
"Ministry of Internal Trade"	0.122233
"Financial Supervisory Agency"	0.121695
"Ministry of Forestry"	0.120289
"U.S. Treasury Department"	0.118362
"Ministry of Railways"	0.116085
"Chinese Foreign Ministry"	0.115719
"China Association for Science"	0.113616
CIRC	0.111894
"Securities and Exchange Commission"	0.111706
"China Construction Bank"	0.111514
"National Tourism Administration"	0.111098
"National Committee"	0.111042
"Ministry of Health"	0.108725
"China Society"	0.10834
"Congress (NPC) Standing Committee"	0.106806
"China Council"	0.10626
"State Peace and Development Council"	0.105906
"Board of Investment"	0.105738
"People's Bank of China"	0.105289
"Russian Foreign Ministry"	0.104006
"State Council"	0.103663
"China Youth Development Foundation"	0.103595
"All-China Youth Federation"	0.102698
"Russian Defense Ministry"	0.102433
"National Election Committee"	0.10233
"Ministry of Justice"	0.101906
"National Electoral Commission of Nigeria"	0.101402
"Guardians Council"	0.10121
"China Federation"	0.100667
"Commission on Elections"	0.100613
"State Statistics Bureau"	0.100291
"Agriculture Ministry"	0.0999416
"NPC Standing Committee"	0.099238
"Xinhua News Agency Hong Kong Branch"	0.0986281
"French Foreign Ministry"	0.0978559
"Ministry of International Trade and Industry"	0.0969963
"Industrial and Commercial Bank of China"	0.0964694
CMC	0.0961857
"Congress Standing Committee"	0.0955776
"Provisional Ruling Council"	0.0951414
"Bank of Communications"	0.0948685
"Association for Relations Across"	0.0941801
"Nuclear Regulatory Commission"	0.0939963
Procuratorate	0.093051
"Standard Chartered Bank"	0.0927081
"Ford Motor Company"	0.0925505
"All-China Journalists Association"	0.0921294
"State Law and Order Restoration Council"	0.0918781
"Information Office"	0.0917715
"Independent National Electoral Commission"	0.0911565
"military commission"	0.0910703
"Home Ministry"	0.0908057
"Badminton Association of Indonesia"	0.0902447
"Texas Department of Public Safety"	0.0897846
"Organization for Economic Cooperation and Development"	0.0896894
"International Maritime Organization"	0.0894608
"National People's Congress"	0.0891808
HKMA	0.0890856
"United Nations Educational, Scientific and Cultural Organization"	0.0888432
"Organizing Committee"	0.0885115
"Revolutionary Command Council"	0.0882944
"Environmental Protection Agency"	0.0881324
"Development Research Center"	0.0879654
"planning commission"	0.0878532
"State Development Bank"	0.0878184
"Executive Committee"	0.0876528
"Senate Appropriations Committee"	0.0876513
"National Transportation Safety Board"	0.0874431
"House Budget Committee"	0.0868803
"National Highway Traffic Safety Administration"	0.0864728
"Propaganda Department"	0.0864221
INEC	0.0863777
"Ministry of Industry"	0.08624
"Federal Aviation Administration"	0.08618
"China National Petroleum Corporation"	0.0861244
SSE	0.0858301
"Council of Europe"	0.0857154
"Central Military Commission"	0.0855676
"Nevada Athletic Commission"	0.0855413
"National Association of Securities Dealers"	0.0852772
"Turkish Foreign Ministry"	0.0851675
"Hong Kong Tourist Association"	0.0849605
"Organisation of African Unity"	0.0846818
"Inter-Parliamentary Union"	0.0846196
"Ministry of Foreign Affairs"	0.0842756
"British government"	0.0842287
"Council of Guardians"	0.0840165
"Department of Health"	0.083556
"Central Bank of Nigeria"	0.0834404
"Asian Development Bank"	0.0831519
"Chinese People's Political Consultative Conference"	0.0828758
"Food and Drug Administration"	0.0828564
"Ninth National Committee"	0.0826636
"Sino-British Joint Liaison Group"	0.0825413
"Senate Commerce Committee"	0.0824827
"Olympic Council of Asia"	0.0823174
"Chinese State Council"	0.0817812
"Sanctions Committee"	0.0816613
"Macao Government"	0.0815
"World Jewish Congress"	0.0814727
"Pudong International Airport"	0.0808143
"Ministry of Water Resources"	0.080461
"Health Department"	0.0804518
"standing committee"	0.0802776
"North Atlantic Council"	0.0801812
"Russian State Duma"	0.0800671
"English Football Association"	0.0799942
"United Nations Conference on Trade and Development"	0.0799872
"National Bureau of Statistics"	0.0798929
"Federal Trade Commission"	0.0798693
"Israeli Cabinet"	0.0796172
PBOC	0.079477
"Foreign Affairs Committee"	0.0792808
"Labor Ministry"	0.0792616
"International Badminton Federation"	0.0781206
"International Amateur Athletic Federation"	0.0780293
"Chen Ziying"	0.0778489
"Global Environment Facility"	0.0776186
"U.N. Sanctions Committee"	0.0774642
"European Commission"	0.0774335
"Airport Authority"	0.0774186
"Department of State"	0.0772626
UCI	0.0771
"Hong Kong Federation"	0.0770716
"Hong Kong Trade Development Council"	0.0768133
"Board of Governors"	0.0765987
"Council of State"	0.0764787
"Shanghai Municipal Government"	0.0760817
"National Defense Commission"	0.0757303
"State Bureau of Environmental Protection"	0.0755746
"Tourism Authority of Thailand"	0.0754979
"Israeli Foreign Ministry"	0.0754839
"ethics committee"	0.0754168
"Senate Governmental Affairs Committee"	0.0752416
"governing board"	0.0750074
"Olympic Committee"	0.0749833
"Cendant Corp."	0.0749663
"Executive Board"	0.0748004
"United Nations Development Program"	0.0745267
"Central Committee"	0.0741115
FTC	0.0737661
"Department of Trade and Industry"	0.073521
"Foreign Ministry"	0.0732049
"U.S. State Department"	0.0731826
"United Nations Industrial Development Organization"	0.0731795
"Justice Ministry"	0.0731238
CNTA	0.0730488
"Education Ministry"	0.0728408
"State Bank of Pakistan"	0.0728035
"U.S. Export-Import Bank"	0.0724649
"U.S. Environmental Protection Agency"	0.0723911
"Cuban American National Foundation"	0.0721056
CEC	0.0719341
ACB	0.0718776
"Air China"	0.0718714
"Boeing company"	0.0718658
))
("China Society" (desc 1671.06) (sims
"Chinese Society"	0.291711
"Association for Friendship"	0.230829
"All-China Journalists Association"	0.209177
"International Society"	0.189816
"China Association for Science"	0.188014
"Hong Kong Federation"	0.186266
"Association for Relations Across"	0.181098
"All-China Youth Federation"	0.177146
"Chinese Olympic Committee"	0.176038
"China Council"	0.174001
"China Federation"	0.166441
"Beijing Municipal Government"	0.152923
"China National Tourism Administration"	0.146588
"Inter-Parliamentary Union"	0.145496
"All-China Federation"	0.141813
"Publicity Department"	0.140589
"National Committee"	0.138079
"Olympic Council of Asia"	0.136629
"National Tourism Administration"	0.133539
"American Association"	0.130429
"Information Office"	0.129232
"World Jewish Congress"	0.12886
"Shanghai Municipal Government"	0.127952
"Xinhua News Agency Hong Kong Branch"	0.127931
"China Youth Development Foundation"	0.126541
"Asia Society"	0.123045
CPAFFC	0.121115
"Red Cross Society"	0.117465
"Development Research Center"	0.116469
"popular front"	0.115192
"Hong Kong Trade Development Council"	0.113276
"Ministry of Science"	0.110468
"China Securities Regulatory Commission"	0.10834
"Democratic Leadership Council"	0.106934
ARATS	0.106251
"CPPCC National Committee"	0.10551
"National Society"	0.102559
"Ministry of Internal Trade"	0.101922
"Ministry of Foreign Trade and Economic Cooperation"	0.101871
"Chinese Academy of Social Sciences"	0.101747
"Freedom Forum"	0.101236
"State Administration of Cultural Heritage"	0.10109
"Ministry of Culture"	0.100938
"Cambodian People's Party"	0.100111
"Academy of Motion Picture Arts"	0.0999925
"Kenya African National Union"	0.0996163
"Democratic Alliance"	0.0984874
"Australian Olympic Committee"	0.0975321
CCF	0.0974422
"State Bureau of Environmental Protection"	0.0968021
"Ministry of Posts"	0.0956656
"United Front Work Department"	0.0954219
"State Peace and Development Council"	0.0953683
"United Nations Conference on Trade and Development"	0.0953027
"World Intellectual Property Organization"	0.0952399
"National Geographic Society"	0.0951946
"State Administration of Internal Trade"	0.094985
"Central Commission for Discipline Inspection"	0.0949195
"Party School"	0.0944087
"International Association of Machinists"	0.0941063
"National Abortion and Reproductive Rights Action League"	0.0937027
"United Malays National Organization"	0.0935311
"Public Security Ministry"	0.092798
"American Association of Health Plans"	0.0926211
"Ministry of Personnel"	0.0925879
"Congress (NPC) Standing Committee"	0.0919742
"Commission on Presidential Debates"	0.0914868
"Organisation of African Unity"	0.09147
"Economic and Social Council"	0.0900798
FIVB	0.0894707
CITIC	0.0892808
"Organizing Committee"	0.0892652
"Federal Reserve Bank of New York"	0.0892254
"Chinese Academy of Engineering"	0.0890643
"International Federation"	0.0889546
ENTREMED	0.0888667
"National Alliance"	0.0885228
"Democratic Revolution Party"	0.0881274
"State Science and Technology Commission"	0.0875858
"United Nations Industrial Development Organization"	0.0870452
"National Federation"	0.0869787
"Foreign Affairs Committee"	0.086764
"Funcinpec Party"	0.0863101
"Operation Rescue"	0.0862943
"Badminton Association of Indonesia"	0.0862255
"Ministry of Foreign Trade"	0.0860331
"Center for Strategic"	0.0858926
"Council on Foreign Relations"	0.0858323
"State Economic and Trade Commission"	0.0853866
"Board of Investment"	0.0852043
"Liberation Movement"	0.0849784
SPC	0.0846814
"National Organization"	0.0845477
CCPIT	0.0844096
"World Economic Forum"	0.0843999
"State Forestry Administration"	0.0839947
"Central Military Commission"	0.0839206
ACWF	0.0835726
Lakas-NUCD	0.0835335
ACFTU	0.0831028
"International Brotherhood"	0.0823924
"Supreme Soviet"	0.0823713
"National Council of Churches"	0.0819297
"State Planning Commission"	0.0816046
CAS	0.0814619
"Ninth CPPCC National Committee"	0.0813741
"planning commission"	0.0802179
"Ministry of Interior"	0.0801965
"Propaganda Department"	0.0797003
"World Meteorological Organization"	0.07939
"Chinese Academy of Sciences"	0.0791174
"Asian Football Confederation"	0.0790432
"Civil Aviation Administration of China"	0.0779531
"Ford Motor Company"	0.0774909
"Global Environment Facility"	0.0774472
"Log Cabin Republicans"	0.0772607
"Gaullist Rally"	0.0772559
"State Environmental Protection Administration"	0.0770165
"National Commission"	0.0769281
"Congolese Rally"	0.0765203
"National Council of La Raza"	0.0764389
"International Amateur Athletics Federation"	0.0763687
"Chinese Foreign Ministry"	0.0762764
"U.N. Environment Program"	0.0761504
"Caribbean Community"	0.0760571
"National Awakening Party"	0.0755162
"American Petroleum Institute"	0.0754846
"Straits Exchange Foundation"	0.0754756
"NPC Standing Committee"	0.0753316
"State Law and Order Restoration Council"	0.0745166
"Nahdlatul Ulama"	0.0744418
"Economic Commission for Africa"	0.074428
"National Association"	0.0743218
"Xinhua News Agency"	0.0742759
"Ministry of Justice"	0.0741416
"Allied Pilots Association"	0.0740893
"Radical Party"	0.0740493
MOFTEC	0.0738966
"International Rescue Committee"	0.073803
"Provisional Urban Council"	0.0737061
"Hyundai Group"	0.073604
"Des Moines Register"	0.0735128
"New Korea Party"	0.0733481
"Executive Committee"	0.0733246
"World Tourism Organization"	0.073046
"Organization Department"	0.0730171
"Justice Party"	0.0729552
"Royal Society"	0.0728493
"Meretz Party"	0.0726095
"Dow Jones &AMP; Co."	0.0725154
"Ministry of Information Industry"	0.0719347
"Revolutionary Command Council"	0.0718718
"Ministry of Industry"	0.0718537
"National Democratic Party"	0.0718234
"Ninth National Committee"	0.0718139
"Cuban American National Foundation"	0.0717187
"Bank for International Settlements"	0.0716775
"Wen Wei Po"	0.0715506
"Atlanta Committee"	0.0715432
"ASEAN Secretariat"	0.0715074
"United Nations Educational"	0.0714974
"South Pacific Forum"	0.0714498
"Securities Industry Association"	0.0713031
"Shanghai Branch"	0.0712916
"International Amateur Athletic Federation"	0.070889
"United Nations Environment Program"	0.0707982
"United Democratic Movement"	0.0707037
"National Education Association"	0.0703167
WEF	0.0696533
"Supreme Council"	0.0696187
"Monetary Policy Committee"	0.0693454
"Board of Supervisors"	0.0688504
"National League for Democracy"	0.0687851
"Socialist Party"	0.0685624
"National Trust"	0.068557
UPC	0.0685549
"Chinese People"	0.0685045
"Canadian International Development Agency"	0.0683904
"Organization of Islamic Conference"	0.0683354
"International Skating Union"	0.0682206
"Housing Authority"	0.0681491
"Great Hural"	0.0679617
"New Aspiration Party"	0.0679341
"International Maritime Organization"	0.067842
Confederation	0.0677423
"Ministry of Labor"	0.0676971
"League of Women Voters"	0.0676873
"Hong Kong Monetary Authority"	0.0676831
"African Development Bank"	0.067573
"American Heart Association"	0.0673411
"State Education Commission"	0.0671037
"Council of State"	0.0668936
"Ministry of Construction"	0.0668782
"French Foreign Ministry"	0.0666702
"Air Line Pilots Association"	0.0666314
"University of China"	0.0665042
"Benevolent Association"	0.0664513
"Presidential Office"	0.0662421
"U.S. Chamber of Commerce"	0.0660201
"American Academy of Pediatrics"	0.0659866
))
("China Southern Airlines" (desc 1712.39) (sims
"Air China"	0.261561
"China Eastern Airlines"	0.206578
"Industrial and Commercial Bank of China"	0.170109
"Kenya Airways"	0.156334
"Construction Bank of China"	0.143135
Aeroflot	0.139057
"China Construction Bank"	0.133703
Alitalia	0.130188
"South African Airways"	0.122382
"China Unicom"	0.12181
"Agricultural Bank of China"	0.121433
"Japan Airlines"	0.118826
"Korean Air"	0.117607
"Virgin Atlantic"	0.11608
"Ethiopian Airlines"	0.114657
"Vietnam Airlines"	0.113882
KLM	0.112877
"Turkish Airlines"	0.112367
Lufthansa	0.112362
"Air France"	0.110908
"China Airlines"	0.106776
Iberia	0.104339
Sabena	0.101433
"State Development Bank"	0.100743
"Singapore Airlines"	0.0997199
"Indian Airlines"	0.0984562
ICBC	0.0980983
BOC	0.0973601
Comair	0.0970507
"Northwest Airlines"	0.0959324
Qantas	0.0957716
Swissair	0.0943259
"Cathay Pacific"	0.0936239
"American Airlines"	0.0926376
"Alaska Airlines"	0.0922918
"United Airlines"	0.0918412
"Eastern Airlines"	0.0898411
"Commercial Bank of China"	0.087637
"State Administration of Foreign Exchange"	0.0863954
A@@@-@@@	0.0861656
"Thai Airways"	0.0858135
"Bank of China"	0.0831279
"British Airways"	0.081447
"Air India"	0.0813022
"Continental Airlines"	0.0807225
COSCO	0.0801181
CCB	0.0789696
CMA	0.0778111
"People's Bank of China"	0.0777745
"El Al"	0.0776539
"Gulf Air"	0.0774822
"China Youth Development Foundation"	0.0774713
Dragonair	0.0767844
"Air Lanka"	0.0761288
"Shanghai Branch"	0.07612
Mig	0.0755649
"International Rescue Committee"	0.0750812
USAir	0.0746439
"Zhejiang University"	0.0731567
"Southwest Airlines"	0.072692
UTA	0.0725709
"Legend Group"	0.0723836
SDB	0.0713437
EgyptAir	0.0708865
Aeromexico	0.0705492
JAT	0.0704668
C-@@	0.0704378
CIRC	0.0698468
Fedex	0.0693394
"Cathay Pacific Airways"	0.0689717
"Air Canada"	0.0687142
"European Bank for Reconstruction"	0.0684937
"China Telecom"	0.0681981
JAL	0.0680703
A-@@@	0.0678458
"Civil Aviation Administration of China"	0.0678102
"Beijing Municipal Government"	0.0676454
"United Parcel Service"	0.0675171
"Le Kha Phieu"	0.0669697
"Air Line Pilots Association"	0.066816
"Cuban American National Foundation"	0.0656606
"State Administration of Taxation"	0.0656074
CAAC	0.0654743
"Air France Concorde"	0.0653745
Eximbank	0.0653167
"T Wireless"	0.0645976
"Trans World Airlines"	0.0644809
"municipal government"	0.0636817
"Airbus @@@"	0.0631834
"KLM Royal Dutch Airlines"	0.0631373
Airlines	0.0630081
"Delta Air Lines"	0.0627801
"Standard Chartered Bank"	0.0627498
"Delta Airlines"	0.0623654
"Sprint PCS"	0.0621253
"special economic zone"	0.0620743
"Computer Associates"	0.0618204
Asa	0.0617886
TU-@@@	0.0617498
"International Ski Federation"	0.0616244
widebody	0.0614579
PBOC	0.0612273
"Shanghai Stock Exchange"	0.0611656
"Beijing University"	0.0609674
A@@@	0.0606739
"Hong Kong Monetary Authority"	0.0604129
KNU	0.059586
Railtrack	0.059253
"Health and Welfare Ministry"	0.058999
Harrier	0.0587368
Garuda	0.0585792
IAF	0.0585378
PBC	0.0583601
"China National Petroleum Corporation"	0.0583573
P-@	0.0582242
CITIC	0.0576896
"Star Alliance"	0.0575413
"Bank of Israel"	0.0572527
"Asahi Shimbun"	0.0571305
Biman	0.057121
"Yamaichi Securities Co."	0.0569249
"Association of Flight Attendants"	0.0569187
"Malaysia Airlines"	0.0564926
"Homo erectus"	0.0560094
"Janata Dal"	0.0558688
"Indian Air Force"	0.0555972
"Airbus A@@@"	0.055356
"America West Airlines"	0.0552741
double-decker	0.0550701
"Bank of Italy"	0.0549197
"Sumitomo Bank"	0.0548112
"MCI Worldcom Inc."	0.054564
PICC	0.0543937
"Wal-Mart Stores"	0.0543789
JetBlue	0.0541683
ACWF	0.0541061
"American Lung Association"	0.0540723
"Rotary International"	0.0538396
"Diamond Multimedia"	0.0536502
"Gap Inc."	0.0536498
"Thermo Electron"	0.0536062
Ltd	0.0534432
Daimler-Benz	0.053328
"National Republican Congressional Committee"	0.0532518
"Daewoo Group"	0.0530422
"Fudan University"	0.0527783
Omnipoint	0.0527444
Sinopec	0.0526644
"International Brotherhood"	0.052303
TWA	0.0522689
"Agency for International Development"	0.0522243
"China Council"	0.0520926
"Anhui Province"	0.0520749
"International Badminton Federation"	0.051938
"Enron Corp."	0.0518393
"National Trust"	0.0516827
"Department of Public Health"	0.0516682
"Federal Reserve Bank of New York"	0.0514175
"Joint Liaison Group"	0.0513308
"Wine Institute"	0.0513132
"National Organization"	0.0512435
"J.P. Morgan &AMP; Co."	0.0512162
CAS	0.0508898
Priceline.com	0.050872
"Princess Anne"	0.0508399
"Qinghua University"	0.0508139
SCLC	0.0507488
"Carnegie Endowment"	0.0506919
Globalstar	0.0506471
"Canadian Airlines"	0.0506369
"U.S. Air Force"	0.0506343
"Tele-Communications Inc."	0.0506268
MKO	0.0506174
"Main Events"	0.0505292
"Ministry of Railways"	0.0503452
Venables	0.0503384
"Bank of Communications"	0.0502144
PictureTel	0.0502052
"U.S. Soccer Federation"	0.0502035
turboprop	0.0501193
"Defense Agency"	0.0500065
"Metropolitan Museum"	0.0498315
"Ministry of Geology"	0.0498018
SU-@@	0.0497958
"Prudential Insurance Co."	0.0497203
SPC	0.0496403
"Ministry of Civil Affairs"	0.0494468
Unicom	0.0494212
"Industrial Bank of Japan"	0.0493669
"High Museum of Art"	0.0493285
CCF	0.0492293
IDG	0.049117
"Ministry of Information Industry"	0.0490453
"World Jewish Congress"	0.0489342
"National Association"	0.0487364
CNOOC	0.0486417
"Audubon Society"	0.0484926
"Australian Olympic Committee"	0.0484627
"San Francisco Museum of Modern Art"	0.04844
Il-@@	0.0483417
))
("China Telecom" (desc 6875.01) (sims
"China Unicom"	0.204619
Unicom	0.130168
"Deutsche Telekom"	0.129906
"France Telecom"	0.128754
Gazprom	0.125121
NTT	0.121388
ICBC	0.121092
Pemex	0.115144
CCB	0.111852
Ericsson	0.110575
Telebras	0.110002
"Vodafone AirTouch"	0.1086
"Network Solutions"	0.106368
Telmex	0.105915
"Telecom Italia"	0.105729
Telstra	0.104991
"Nippon Telegraph"	0.102506
"Bell Atlantic"	0.102435
Uunet	0.100907
"America Online Inc."	0.0993844
PICC	0.098986
Telecom	0.0984893
BOC	0.0975923
"Hongkong Telecom"	0.0964986
Mediaone	0.0950204
"Sprint PCS"	0.0947142
COSCO	0.0944093
"NTT DoCoMo"	0.0930658
ExciteAtHome	0.0921227
"Tele-Communications Inc."	0.0919357
"Orange PLC"	0.0918447
BellSouth	0.0903579
PETROBRAS	0.0900204
"Pacific Century Cyberworks"	0.0898807
SBC	0.0894978
"News Corp."	0.0893092
"Microsoft Corp."	0.0885441
"Time Warner Inc."	0.0880163
"Air China"	0.0875414
"HSBC Holdings"	0.0870689
TCI	0.087051
"Vodafone Airtouch PLC"	0.0868665
"Cox Communications"	0.0867365
"America Online"	0.0865585
"AMR Corp."	0.0863444
Viacom	0.0859421
DirecTV	0.0853638
Telefonica	0.0842231
"De Beers"	0.0836208
Siemens	0.0835882
SDB	0.0827302
CNOOC	0.0827163
Vodafone	0.0824526
Motorola	0.0817734
"Civil Aviation Administration of China"	0.0817093
CCA	0.0814336
"Siemens AG"	0.0814299
"SBC Communications"	0.0803337
Cablevision	0.0803089
"Global Crossing"	0.0794786
"SBC Communications Inc."	0.0790702
"Bank of China"	0.0787424
EarthLink	0.0786932
Citigroup	0.0786151
"telephone company"	0.0783723
"municipal government"	0.078287
"Hong Kong Telecom"	0.0777807
"Northeast Utilities"	0.0772462
"MCI WorldCom"	0.0770757
Telkom	0.0768545
CAS	0.0768194
CMGI	0.0763646
"State Development Planning Commission"	0.076296
"Bell Atlantic Corp."	0.0762512
Mannesmann	0.0761587
Healtheon/WebMD	0.0758864
"Time Warner"	0.0757653
Comcast	0.0755886
HSBC	0.075493
Vivendi	0.0752919
"China Construction Bank"	0.0750369
"General Electric"	0.0747831
Nextel	0.0746662
TYCO	0.0746608
"Ministry of Information Industry"	0.0745524
corporation	0.0741945
Yahoo	0.0739662
"Comcast Corp."	0.0738957
Qwest	0.0738814
Ltd	0.0738234
Intel	0.0737162
Eurotunnel	0.0735498
WorldCom	0.0734568
"GE Capital"	0.0733509
CNPC	0.0733484
MCI	0.0733396
Nokia	0.073259
"phone company"	0.0732277
CompuServe	0.0731633
IBM	0.0730301
"Standard Chartered Bank"	0.0729789
Citibank	0.0729651
"Berkshire Hathaway"	0.0724564
"BP Amoco"	0.0724532
IFC	0.0720952
PBC	0.0720786
Qualcomm	0.0720031
"Walt Disney Co."	0.0717229
Unilever	0.0716666
Daimler-Benz	0.0712493
"Mannesmann AG"	0.0711936
CSA	0.0709825
"Global Crossing Ltd."	0.0708484
"Standard Oil"	0.0706852
AOL	0.0704922
"Industrial and Commercial Bank of China"	0.0701649
MindSpring	0.0700117
GTE	0.0697416
CITIC	0.0694302
Novartis	0.0690472
Monsanto	0.0686281
"T Corp."	0.0685312
"Health and Welfare Ministry"	0.068412
CCF	0.0683126
"UAL Corp."	0.0682567
Aventis	0.0682318
multinationals	0.0682289
"China Southern Airlines"	0.0681981
Nortel	0.0681669
"Singapore Airlines"	0.0679806
"Hutchison Whampoa"	0.0678249
Alcatel	0.0674566
SNCF	0.0674492
PLDT	0.0673797
"Ma Bell"	0.0671218
"State Science and Technology Commission"	0.066883
"Construction Bank of China"	0.0667107
"General Motors"	0.0666991
UAL	0.0666375
"Johnson &AMP; Johnson"	0.0666203
"National Association of Securities Dealers"	0.0665859
Priceline.com	0.0665634
"Canal Plus"	0.0665321
"State Planning Commission"	0.066496
"Philip Morris"	0.0662031
oracle	0.0661923
PBOC	0.0659002
Dupont	0.0656999
"Agricultural Bank of China"	0.0654796
Boeing	0.0654684
Compaq	0.0654437
CIRC	0.0653386
"Ford Motor Company"	0.0652673
MarketWatch.com	0.0652515
Echostar	0.0652457
Bertelsmann	0.0651707
"Baby Bells"	0.0651363
"Legend Group"	0.065107
"Lucent Technologies"	0.0649254
Cisco	0.064835
"Intel Corp."	0.0646783
RealNetworks	0.0646762
Eximbank	0.0646575
"MCI Worldcom Inc."	0.0646282
"China Eastern Airlines"	0.0646234
GeoCities	0.064511
"General Electric Co."	0.064502
"General Motors Corp."	0.0644837
AMR	0.064413
"IBM Corp."	0.064376
"Ask Jeeves"	0.0643703
CSRC	0.0643594
EMC	0.0641957
"Hearst Corp."	0.0640253
"British Aerospace"	0.0639914
Kodak	0.0638828
"Frontier Corp."	0.0638139
Chevron	0.0637695
NEC	0.0637497
KPA	0.0635229
"MediaOne Group"	0.0635188
ENTERGY	0.0633193
NASD	0.0631826
"Pac Bell"	0.0630835
CDB	0.0630044
"China National Petroleum Corporation"	0.0625343
Lycos	0.0624401
CAAC	0.0623558
"Cable &AMP; Wireless"	0.0621902
Eni	0.0621382
Enron	0.0620535
BHP	0.0619917
"Yahoo Inc."	0.0618102
"U S West"	0.0617084
BSKyB	0.0616655
"Hughes Electronics"	0.0615768
IMG	0.0615312
Comsat	0.0615099
"postal service"	0.0614998
"Sprint Corp."	0.0614861
))
("China Unicom" (desc 3800.3) (sims
Unicom	0.263768
"China Telecom"	0.204619
BOC	0.135317
"China Southern Airlines"	0.12181
"Air China"	0.120361
CCB	0.119076
"Industrial and Commercial Bank of China"	0.116863
Echostar	0.113044
Mediaone	0.112544
ICBC	0.111352
Ericsson	0.109521
"NTT DoCoMo"	0.107989
"MCI WorldCom"	0.10777
"Global Crossing"	0.106224
COSCO	0.105562
PICC	0.105442
"Cox Communications"	0.105135
Nextel	0.101095
Mannesmann	0.0979315
SBC	0.0976434
"Hongkong Telecom"	0.096904
Uunet	0.0959776
CITIC	0.0955447
EarthLink	0.094205
"Pacific Century Cyberworks"	0.0927843
Siemens	0.0927716
Motorola	0.0926802
Ltd	0.0925824
MindSpring	0.091817
"Vodafone Airtouch PLC"	0.0913931
"Halliburton Co."	0.0902463
MCI	0.0894687
Cablevision	0.0892702
"Visa International"	0.0875266
Dragonair	0.0874365
"Civil Aviation Administration of China"	0.0871083
"Hutchison Whampoa"	0.0870398
Healtheon/WebMD	0.0863459
Vodafone	0.0860425
BellSouth	0.0850376
"Agricultural Bank of China"	0.0847133
CNOOC	0.0834625
"Kenya Airways"	0.0831478
"China Construction Bank"	0.083121
Softbank	0.0826873
Qwest	0.0824551
SDB	0.0823587
"China National Petroleum Corporation"	0.0819029
"Bank of China"	0.081889
"MindSpring Enterprises"	0.0817483
"Motorola Inc."	0.0814816
Healtheon	0.0813193
"MCI Worldcom Inc."	0.0809776
"Vodafone AirTouch"	0.0804209
WebMD	0.0792822
"Frontier Corp."	0.0791404
NetZero	0.0790101
TYCO	0.0787109
"Fannie Mae"	0.0786571
Akamai	0.0783415
"International Management Group"	0.0782584
NTT	0.0774061
"Orange PLC"	0.0773831
EMC	0.0773702
"Enron Corp."	0.0772379
Telefonica	0.077134
Nortel	0.076994
"T Corp."	0.0769147
CAS	0.0763684
"Korean Air"	0.0760103
Aetna	0.0755779
GTE	0.0753027
"Deutsche Telekom"	0.0752474
TCI	0.0747668
MarketWatch.com	0.0746387
"Telecom Italia"	0.0739451
ExciteAtHome	0.0739264
"Global Crossing Ltd."	0.0737708
PLDT	0.0736794
Alcatel	0.073431
"Bell Atlantic"	0.0733817
Viacom	0.072833
NTL	0.0726776
Teledesic	0.0721533
"Thai Airways International"	0.0720915
Telstra	0.0717529
CMGI	0.0716198
Telmex	0.0714846
Aeroflot	0.0713785
"Pac Bell"	0.071369
"Red Hat"	0.0707799
Qualcomm	0.070561
Enron	0.0704824
WorldCom	0.0703442
"Dell Computer Corp."	0.0698657
Eurotunnel	0.0698429
"Construction Bank of China"	0.0695633
"Sprint Corp."	0.0692272
Unilever	0.0692193
"British government"	0.0691885
AOL	0.0691572
Halliburton	0.0691452
"Tele-Communications Inc."	0.0690995
KEDO	0.069031
"telephone company"	0.0690171
Texaco	0.068776
PSINet	0.068124
Fedex	0.0678649
VoiceStream	0.0677781
"Time Warner"	0.0676869
Webvan	0.0671731
"data link"	0.0670075
Sumitomo	0.0669619
Vivendi	0.0667948
Eximbank	0.066773
MetLife	0.0667645
"America Online"	0.0667072
Gazprom	0.0664883
CAAC	0.0663677
DirecTV	0.0663112
"Air Canada"	0.0661955
GeoCities	0.0659302
Hyundai	0.0657098
NIKE	0.065644
"Computer Associates"	0.0656272
"France Telecom"	0.0656266
"Lucent Technologies"	0.0655706
ISP	0.0655028
Citibank	0.0654602
"People's Bank of China"	0.0653704
"America Online Inc."	0.0651667
DoCoMo	0.0650076
"municipal government"	0.0648382
"phone company"	0.0643601
"U.S. Trust"	0.0641461
Broadcast.com	0.0640067
"Network Solutions"	0.0639319
UAL	0.0637056
ARATS	0.0636293
"De Beers"	0.0635173
Nokia	0.0633013
Airtouch	0.0632521
Cisco	0.0632499
Citigroup	0.0628308
Amtrak	0.0627662
"Delta Air Lines"	0.0627605
Hotmail	0.0627197
Ltd.	0.0624434
Iridium	0.0623136
ATHOME	0.0622455
"United Airlines"	0.0621855
Exxon	0.0621209
Northpoint	0.0621197
"Mannesmann AG"	0.0620966
"P&AMP;G"	0.0620867
"Nippon Telegraph"	0.0620814
Cargill	0.0618099
Bertelsmann	0.0617413
"Singapore Airlines"	0.0615852
Telecom	0.0614703
Globalstar	0.0613078
"Hearst Corporation"	0.061298
RealNetworks	0.0611734
CCF	0.0611545
Sinopec	0.0611124
CompuServe	0.0610185
Airbus	0.0609619
Ameritech	0.0608924
Schwab	0.0607363
Verizon	0.06062
GPU	0.0605376
UNRWA	0.0604969
"Southwestern Bell"	0.060407
"Comcast Corp."	0.0603685
AIG	0.0603137
"Legend Group"	0.0602577
Omnipoint	0.0602048
multinationals	0.0600801
IBM	0.0599699
Genentech	0.0598563
Dell	0.0598095
MiniMed	0.0597169
"BP Amoco"	0.0596098
CNET	0.0596055
IDG	0.0593501
RCN	0.0592842
"State Development Bank"	0.0592544
ALZA	0.0591794
Seagate	0.0590483
Konka	0.0589122
BofA	0.0587441
"News Corp."	0.0587018
CSA	0.0586974
"China Council"	0.0586919
IAI	0.0586468
Comcast	0.0586056
Genzyme	0.0585656
Checkfree	0.0584686
SPC	0.0584228
Caltex	0.0582942
))
("China Youth Daily" (desc 2009.38) (sims
"Beijing Daily"	0.32485
"Economic Daily"	0.303472
"Guangming Daily"	0.273915
"Beijing Youth Daily"	0.249578
"Macao Daily News"	0.193901
"Business Times"	0.188387
"South China Morning Post"	0.188026
"Egyptian Gazette"	0.181408
"Ethiopian Herald"	0.179321
"Indonesian Observer"	0.171016
"Kathmandu Post"	0.170812
"Iran News"	0.169342
"Daily Times"	0.169136
"Wenhui Daily"	0.168206
"Egyptian Middle East News Agency"	0.16795
"Kyodo News"	0.161704
"China Daily"	0.161275
"Moscow Times"	0.159925
MTI	0.159907
"China Daily Business Weekly"	0.158958
"Kenya Times"	0.158627
"Thai News Agency"	0.158318
"Southern African Broadcasting Association"	0.157196
"U.S. Labor Department"	0.157066
"Alam Al Yom"	0.156645
"Business Weekly"	0.154477
"Ghana News Agency"	0.153507
"Vietnam News"	0.151901
"Straits Times"	0.149562
"Sydney Morning Herald"	0.148125
"Tehran Times"	0.148053
"Kyodo News Service"	0.147593
"International Business Daily"	0.144561
"Gulf News"	0.144132
Angop	0.143966
"Cyprus News Agency"	0.14332
"Saudi Press Agency"	0.142797
"National Association of Realtors"	0.141293
"Zambia News Agency"	0.141169
"Rwanda News Agency"	0.140711
"Business Day"	0.140488
Tass	0.138647
"Jakarta Post"	0.137933
"Daily Nation"	0.135961
"Korean Central News Agency"	0.135195
"New Light"	0.135159
"Vietnam News Agency"	0.135004
"Ethiopian News Agency"	0.134569
Antara	0.134455
"Jordan Times"	0.13344
"Philippine News Agency"	0.133421
"United Press International"	0.131705
"Bangkok Post"	0.130637
Sowetan	0.130164
"Zambia Daily Mail"	0.129956
KPL	0.129405
"Daily Star"	0.129075
"Agence France Presse"	0.12884
Lusa	0.128076
"Post Express"	0.127701
"Australian Associated Press"	0.127473
"Al Ahram"	0.127289
"New Nigerian"	0.126967
"Al Hayat"	0.126027
"Jerusalem Post"	0.124371
Notimex	0.124047
"East African Standard"	0.123663
"New Vision"	0.122976
"Yomiuri Shimbun"	0.120599
"Xinhua News Agency"	0.120213
Noticias	0.120121
Ansa	0.11865
"Dow Jones Newswires"	0.118555
"Zimbabwe News Agency"	0.118194
"Financial Times"	0.116118
Kyodo	0.115969
"Athens News Agency"	0.114451
"Radio Uganda"	0.11419
"Kuwait News Agency"	0.112687
"Financial Mail"	0.110091
"Statistics Canada"	0.109136
"Press Trust of India"	0.109088
"Turkish Daily News"	0.108479
"Denver Post"	0.108223
"Daily Telegraph"	0.107236
Malaya	0.104743
IRNA	0.104043
ATA	0.103976
"Iraqi News Agency"	0.103813
"Associated Press of Pakistan"	0.103145
"News Agency of Nigeria"	0.10195
"The New Vision"	0.101633
"Antara News Agency"	0.101518
Kommersant	0.100983
WAM	0.100063
"The Monitor"	0.0997179
"El Pais"	0.0981302
"South African Press Association"	0.0963704
"British Broadcasting Corporation"	0.09548
BS	0.0951668
Bernama	0.0951364
"Nihon Keizai Shimbun"	0.0945759
RSS	0.0937368
Tanjug	0.0933613
"Khaleej Times"	0.092243
"New Straits Times"	0.0917875
"Agence France-Presse"	0.0912198
"Asahi Shimbun"	0.0909726
Maariv	0.0904784
"Der Spiegel"	0.0900157
"Jerusalem Media and Communication Center"	0.0897835
Al-Ahram	0.0896241
"Detroit News"	0.0892761
"Nihon Keizai"	0.0889837
"Daily Mail"	0.0888745
"Anatolia News Agency"	0.0883938
"Conference Board"	0.0883257
al-Hayat	0.0880094
Haaretz	0.0880011
Anatolia	0.0873162
Petra	0.0865715
"El Mundo"	0.0860984
"Information Center"	0.0859699
"Islamic Republic News Agency"	0.0849142
"Seattle Times"	0.084588
"China Central Television"	0.0839879
"Los Angeles Times"	0.0838873
"Dallas Morning News"	0.0838513
"Israel Radio"	0.08317
"East African"	0.0830941
ABS-CBN	0.0826399
"Information Center of Human Rights"	0.0817739
"Washington Times"	0.0811352
"Middle East News Agency"	0.0810093
Salam	0.0808861
AFP	0.0807926
NTV	0.0806331
"press agency"	0.0806274
Reforma	0.0798434
"Le Monde"	0.0789697
Jana	0.0783763
"Bloomberg News"	0.0783759
"U.S. Commerce Department"	0.0774623
Eurostat	0.0772556
PTI	0.0763899
NHK	0.0760471
Asahi	0.0755889
APA	0.0747102
SAPA	0.0747036
Hurriyet	0.0742664
"New York Post"	0.07349
"Detroit Free Press"	0.0731537
"Washington Post"	0.0725521
MENA	0.072298
TT	0.0716264
CTV	0.0702685
"Kosovo Information Center"	0.0698278
CNA	0.0693942
"Nhan Dan"	0.0687754
"Boston Herald"	0.0683331
Yomiuri	0.0682461
Interfax	0.0679793
"Daily News"	0.0669583
"New York Daily News"	0.0668134
"Press Trust"	0.0667857
"Wall Street Journal"	0.0660559
Politika	0.0658199
APP	0.0652289
"Hartford Courant"	0.0649237
Itar-Tass	0.0641741
"National Weather Service"	0.0636241
"Bank of Korea"	0.0634396
Reuters	0.0633736
"Le Figaro"	0.0631327
"Australian Bureau of Statistics"	0.0626971
Dominion	0.0625307
"Philadelphia Inquirer"	0.0615661
KUNA	0.060826
beta	0.0607586
Inquirer	0.0582055
shootaround	0.0578267
"Yediot Ahronot"	0.0573603
"National Post"	0.0572097
"Chicago Tribune"	0.0564323
newsmagazine	0.0549024
"Advertising Age"	0.054481
JMCC	0.054344
"State Statistics Bureau"	0.0541185
L'Equipe	0.0539186
MidCap	0.0538182
Spiegel	0.0533487
"Channel @"	0.0530446
"British Broadcasting Corp."	0.0527181
Cui	0.0523614
INA	0.0522537
Bild	0.051613
"Business Week"	0.0506039
"Evening Standard"	0.0495826
Granma	0.0495239
RNA	0.0495147
))
("China Youth Development Foundation" (desc 1300.18) (sims
"Shanghai Municipal Government"	0.180605
"United Nations Industrial Development Organization"	0.171775
"Chinese Olympic Committee"	0.170906
"Inter-Parliamentary Union"	0.166716
"All-China Journalists Association"	0.166612
"Red Cross Society"	0.159922
"United Nations Conference on Trade and Development"	0.156296
"Board of Investment"	0.153862
"United Nations Educational, Scientific and Cultural Organization"	0.153376
"Olympic Council of Asia"	0.147436
"China National Tourism Administration"	0.147309
"United Nations Educational"	0.146368
"Economic Commission for Africa"	0.146336
"World Intellectual Property Organization"	0.143421
"French Foreign Ministry"	0.141021
"Hong Kong Tourist Association"	0.13653
"Ministry of Foreign Trade and Economic Cooperation"	0.135264
CCF	0.135171
"Organization of Islamic Conference"	0.134495
"Xinhua News Agency Hong Kong Branch"	0.132716
WEF	0.132549
"State Forestry Administration"	0.131314
BOI	0.130482
"National Tourism Administration"	0.129068
"Organization for Economic Cooperation and Development"	0.127796
"Ministry of Science"	0.127662
"Organisation of African Unity"	0.126982
"China Society"	0.126541
"World Jewish Congress"	0.125586
"Publicity Department"	0.123867
"Beijing Municipal Government"	0.122964
"Association for Relations Across"	0.121533
"United Nations Environment Program"	0.120162
"All-China Youth Federation"	0.11893
"World Tourism Organization"	0.117935
"Ministry of Forestry"	0.117514
"ASEAN Secretariat"	0.117346
"South Pacific Forum"	0.116936
"National Council of Churches"	0.114987
"State Science and Technology Commission"	0.114313
"Global Environment Facility"	0.114232
"World Meteorological Organization"	0.113933
"Project Hope"	0.113199
"State Administration of Cultural Heritage"	0.11224
"Common Market for Eastern and Southern Africa"	0.111725
"Israeli Foreign Ministry"	0.110941
"International Maritime Organization"	0.110893
"International Federation"	0.110096
"United Nations Drug Control Program"	0.108719
"Ministry of Education"	0.107738
"municipal government"	0.107602
"Ministry of Industry"	0.10689
"Organization of American States"	0.10626
"Kenya African National Union"	0.105772
"Liberation Movement"	0.105397
"Ministry of Personnel"	0.103942
"China Securities Regulatory Commission"	0.103595
"Badminton Association of Indonesia"	0.103086
"Chinese Society"	0.102792
"Council of Europe"	0.102766
"Organization Department"	0.102147
"Rwandan Patriotic Front"	0.101972
"U.S. Soccer Federation"	0.101797
"U.S. Information Agency"	0.101464
"China Council"	0.101463
"U.N. Environment Program"	0.100501
Interpol	0.0995337
"All-China Federation"	0.0993211
"Straits Exchange Foundation"	0.0988611
UNESCO	0.0987448
"Ministry of Communications"	0.0983898
"CPPCC National Committee"	0.0980236
"State Development Planning Commission"	0.0977779
"Ministry of Posts"	0.0977416
"Civil Aviation Authority"	0.0970608
"China Federation"	0.0966792
"United Nations Children's Fund"	0.0963351
"Hong Kong Trade Development Council"	0.0962422
"Ministry of Health"	0.0961203
UNCTAD	0.0960871
CAS	0.0957422
"Ministry of Information Industry"	0.0953239
"Ministry of Culture"	0.0949318
"Arab League"	0.0941253
"Ministry of Water Resources"	0.0940419
"Executive Committee"	0.0937318
"Independent Electoral Commission"	0.0936336
"Indonesian Armed Forces"	0.0936289
ECA	0.0933397
HKTA	0.0932696
"Department of Environment"	0.0922938
"Tourism Authority of Thailand"	0.0920872
"Republican Leadership Council"	0.0910189
"Organization of African Unity"	0.0908678
"World Health Organization"	0.0899074
"Olympic Committee"	0.0896902
"Defense Agency"	0.0895763
"Ministry of Planning"	0.0894994
"King Mswati III"	0.0891908
"International Red Cross"	0.0888496
"U.N. Development Program"	0.0885215
"Propaganda Department"	0.0882298
"Ministry of Civil Affairs"	0.0877365
TDC	0.0876958
"China Association for Science"	0.0873078
"Chinese Academy of Sciences"	0.0864637
"State Flood Control"	0.0863997
"Ministry of Public Security"	0.0859378
FAO	0.0848829
"Russian Space Agency"	0.0847736
"Association for Friendship"	0.0840046
"World Wildlife Fund"	0.0837409
"National Committee"	0.0835426
"British government"	0.0826757
"United Nations Development Program"	0.0822646
"Asia Society"	0.0813365
WIPO	0.0811306
"Asian Football Confederation"	0.0809723
"Ministry of Labor"	0.080339
"NPC Standing Committee"	0.0801684
"Central Commission for Discipline Inspection"	0.0799806
"Ministry of Justice"	0.0798707
UNICEF	0.0797617
"Ministry of Tourism"	0.0793345
CIRC	0.0792934
"Ministry of International Trade and Industry"	0.0788272
OECD	0.0787864
"European Commission"	0.0782664
"Palestinian National Council"	0.0781836
"Xinhua News Agency"	0.0781464
"International Amateur Athletic Federation"	0.0779433
"Information Office"	0.0777674
"Southeastern Legal Foundation"	0.0776896
"Agriculture Ministry"	0.0775807
"State Bureau of Environmental Protection"	0.0775713
"China Southern Airlines"	0.0774713
"Central Committee"	0.0774057
ESCAP	0.07735
"Shanghai Branch"	0.0772924
"United Nations Conference"	0.0772435
"International Labor Organization"	0.0772323
"UN agency"	0.0770557
"Ministry of Agriculture"	0.0768267
"Ministry of Public Health"	0.0768162
IAEA	0.0768014
"Hong Kong Federation"	0.0765504
"National Federation"	0.075616
"Department of Health"	0.0754388
"Amnesty International"	0.0753626
"Ministry of Transport"	0.0751909
"World Food Program"	0.0751286
"popular front"	0.0749713
"Ford Foundation"	0.0748555
"BellSouth Corp."	0.0748046
ARATS	0.0747961
"Home Ministry"	0.0747028
"Ministry of Land"	0.0743239
"Caribbean Community"	0.0743136
"Bank of Communications"	0.0741761
"Inter-American Development Bank"	0.0735801
"Macao Government"	0.0735517
Confederation	0.0734386
"Hong Kong Monetary Authority"	0.0733867
"Philippine National Police"	0.0732675
"National Association"	0.0731252
Lakas-NUCD	0.0730798
CRC	0.072971
"Socialist Party"	0.0727814
"Industry Ministry"	0.0726958
"International Atomic Energy Agency"	0.0726498
"State Education Commission"	0.0724239
"Mark Foley"	0.072221
"Gulf Cooperation Council"	0.0719978
"Provisional Urban Council"	0.0718305
"Thai Foreign Ministry"	0.0718187
"Common Market"	0.0717457
"National Geographic Society"	0.0716498
"Canadian International Development Agency"	0.0715936
"Air China"	0.0715378
"Department of Trade and Industry"	0.0714669
"National Awakening Party"	0.0713461
"Ministry of Internal Trade"	0.0713181
"Funcinpec Party"	0.0710176
"State Economic and Trade Commission"	0.0709759
"Food and Agriculture Organization"	0.070963
"Democratic Alliance"	0.0709244
"Asian Development Bank"	0.07068
MSF	0.0706045
"United Nations Population Fund"	0.0701462
"Democratic Revolution Party"	0.0700554
USAID	0.0697446
"Securities Industry Association"	0.0696902
"National Electoral Commission of Nigeria"	0.0696883
"International Civil Aviation Organization"	0.0696682
"Fourth World Conference"	0.0696548
UNDP	0.0696042
"State Planning Commission"	0.0692976
"Democratic Leadership Council"	0.0692414
"Organizing Committee"	0.0691679
"Kenyan Government"	0.0687401
))
(China-U.S. (desc 1906.21) (sims
Sino-U.S.	0.443802
U.S.-China	0.385256
Sino-French	0.345038
Sino-Japanese	0.343085
Sino-Russian	0.342339
Russian-U.S.	0.328555
Sino-African	0.302187
U.S.-Russian	0.279772
U.S.-Japan	0.273069
Sino-British	0.271575
Asia-Europe	0.268383
cross-Straits	0.261154
inter-Korean	0.23225
Franco-German	0.218333
inter-Arab	0.214185
Japan-U.S.	0.190537
Palestinian-Israeli	0.166891
Israeli-Palestinian	0.155237
good-neighborly	0.137593
north-south	0.134004
Arab-Israeli	0.133496
"breaking off"	0.125487
Israeli-Arab	0.121651
"World Petroleum Congress"	0.118628
on-and-off	0.103097
"Uruguay Round"	0.10126
state-to-state	0.0992969
oil-for-food	0.0982376
INDIA-PAKISTAN	0.0954707
pan-Arab	0.0935813
ASEM	0.0925411
"Jerusalem Committee"	0.0922865
"military commission"	0.0892562
"Joint Military Commission"	0.0888447
Anglo-American	0.0886769
Non-governmental	0.0875352
FTAA	0.0873247
JMC	0.0867134
one-to-one	0.0850872
final-status	0.0848361
"Arab Parliamentary Union"	0.083936
"United Nations Conference"	0.0835215
IGC	0.082626
FTA	0.0803589
"U.N. Conference"	0.0778818
"customs union"	0.0769821
eco	0.0765571
Israeli-Syrian	0.0763311
"South Pacific Forum"	0.0751196
fostering	0.0750737
"Ministerial Conference"	0.0750465
GATT	0.0750002
Sino	0.0746454
five-point	0.0740313
barter	0.0734449
east-west	0.0731035
sub-regional	0.0729596
"Fortune Global Forum"	0.0723551
Syrian-Israeli	0.0711987
"Wye River"	0.070445
"European Council"	0.070403
JLG	0.0700525
"World Conference"	0.070018
"African Economic Community"	0.069676
six-point	0.0691927
win-win	0.0690673
"Group of Eight"	0.0690026
interagency	0.0686843
"Central Organ"	0.0683243
"Special Session"	0.0682381
"First Session"	0.0674675
"Consultative Group"	0.0669413
"Universal Postal Union"	0.0667074
"International Symposium"	0.0662343
Wye	0.0662071
P-@	0.066167
D-@	0.0659225
seven-point	0.0658872
sub-commission	0.0658273
"U.N. Human Rights Commission"	0.0654411
el-Sheikh	0.0653295
longterm	0.0651675
thawing	0.0649677
"Central Council"	0.0649041
tenancy	0.0648903
ARF	0.0647736
multiyear	0.0641565
Chinese-American	0.0641497
"Inter-Governmental Authority on Development"	0.0635421
AMM	0.0634463
"South Summit"	0.0633007
APEC	0.0630613
"Asia-Pacific Economic Cooperation"	0.0626264
"Group of @@"	0.0620808
AEC	0.0620156
"Asia-Europe Meeting"	0.0619904
"Commonwealth Ministerial Action Group"	0.0619232
AFTA	0.0612775
collaborative	0.0611722
Nepali	0.0606779
"North Atlantic Council"	0.0604637
"Supreme Council"	0.0602521
"Second Session"	0.0599596
"Multimedia Super Corridor"	0.0598122
"Eighth National Committee"	0.0597476
CWC	0.0597213
"Palestine National Council"	0.0595563
"nuclear-powered submarine"	0.0595562
FM	0.0594539
"Asia Pacific Economic Cooperation"	0.0591801
SAARC	0.0589415
"United Nations Conference on Trade and Development"	0.0589388
G-@@	0.058419
"National Convention"	0.0582286
SADC	0.0575741
SEZs	0.0573532
G-@	0.0572263
"Congress (NPC) Standing Committee"	0.0571634
"work group"	0.0570625
Ita	0.0570599
"ASEAN Regional Forum"	0.0566882
"Group of Seven"	0.0564105
"National Missile Defense"	0.0561769
"Third Session"	0.0560374
"World Economic Forum"	0.0560362
CHT	0.0556225
"START III"	0.0555375
NAM	0.0554287
decadelong	0.055247
"General Council"	0.0551127
"World Health Assembly"	0.0550248
"International Conference"	0.0550154
NSC	0.0548817
pan-European	0.0546172
"International Congress"	0.054507
"ASEAN Ministerial Meeting"	0.0543205
Vice-Foreign	0.0543148
"Federal Council"	0.0542238
"business relation"	0.0538458
"Human Rights Commission"	0.0536725
"Palestinian Council"	0.0534182
"surveillance system"	0.0530217
Clinton-Lewinsky	0.0529477
"Joint Commission"	0.0525561
"Congress Working Committee"	0.0524912
"Democratic Leadership Council"	0.0524187
"political platform"	0.0522452
"Provisional Ruling Council"	0.0522418
"personal relation"	0.0519549
"pen pal"	0.0519491
taskforce	0.0514614
Oedipal	0.0514186
UNCTAD	0.0513765
pan-African	0.051259
"Damascus Declaration"	0.0512166
"credit system"	0.0510295
"Lusaka Peace Accord"	0.0510233
entrepot	0.050912
"National Party Congress"	0.0505303
COMESA	0.0505066
"Fourth Session"	0.0503821
"CPC Central Commission for Discipline Inspection"	0.0500896
"American Psychiatric Association"	0.0499717
"Alcoholics Anonymous"	0.049964
"Lahore Declaration"	0.0499167
Conakry	0.0494919
Sheikh	0.0493603
"interim committee"	0.049064
"National Congress"	0.049021
"Agenda @@@@"	0.0484709
"American Association"	0.0484624
"Non-Aligned Movement"	0.0481873
Int	0.0480878
"steering committee"	0.0479263
"Israeli Knesset"	0.0478729
"Lu Ping"	0.0477557
EPZs	0.0475852
"Weather Information"	0.0474286
"weather satellite"	0.0473531
EAC	0.0473517
"Chittagong Hill Tracts"	0.0472911
"billion dollar"	0.0472452
eight-point	0.0471737
IGAD	0.046917
"Group of Rio"	0.0468601
fast-track	0.0468306
profit-sharing	0.0467385
Kyoto	0.046459
"arms control"	0.0463977
PNC	0.0462935
G@@	0.0458195
"National Council"	0.0457013
"Joint Declaration"	0.0456983
plenum	0.0456172
"Palestinian National Council"	0.0456153
"Wye Plantation"	0.0455428
"Special Economic Zones"	0.0455155
"common law"	0.0453605
multiplayer	0.0452108
"Consultative Assembly"	0.044851
))
(China.com (desc 1162.08) (sims
E-LOAN	0.157405
Healtheon/WebMD	0.150043
"Thermo Electron"	0.147196
Travelocity	0.142752
UAL	0.139466
iVillage	0.137626
"Gap Inc."	0.134808
Emulex	0.13111
AMR	0.126534
"Lycos Inc."	0.122939
Halliburton	0.121304
"Cendant Corp."	0.120239
"Halliburton Co."	0.11842
"Federated Department Stores"	0.117805
"Knight Ridder"	0.116974
Priceline	0.113982
STARMEDIA	0.112406
theglobe.com	0.111547
ENTREMED	0.110161
"Aetna Inc."	0.109805
"Seagram Co."	0.108455
Federated	0.108411
DoubleClick	0.107569
"AMR Corp."	0.10648
"Hongkong Telecom"	0.106142
Infoseek	0.105587
"Symantec Corp."	0.105294
Novell	0.104767
Drugstore.com	0.104395
"National Semiconductor"	0.103467
Publicis	0.101903
GeoCities	0.0997171
"Hearst Corporation"	0.09932
"Network Associates"	0.0990234
AstraZeneca	0.0986975
"Berkshire Hathaway"	0.0986226
"Citigroup Inc."	0.0984945
"MindSpring Enterprises"	0.0983961
Priceline.com	0.0983125
Webvan	0.0981875
"Bertelsmann AG"	0.0979647
Biogen	0.0979265
Danka	0.0974108
"UAL Corp."	0.0972328
"Gillette Co."	0.0970518
Genzyme	0.0960697
"Hughes Electronics Corp."	0.0951893
"Oracle Corp."	0.0949413
"Times Mirror Co."	0.0945215
Healtheon	0.094361
Medtronic	0.094328
MarketWatch.com	0.0942553
"Global Crossing"	0.0941485
Clorox	0.0940381
Scripps	0.0936172
BofA	0.0935748
EMC	0.093407
"U.S. Trust"	0.0928027
"Times Co."	0.092763
"Ask Jeeves"	0.0923751
CMGI	0.0923341
"Northern Telecom"	0.0919804
Schlumberger	0.0917269
"Stride Rite"	0.0915208
Peapod	0.0912965
ALZA	0.0911311
MP@.com	0.0908467
Bertelsmann	0.0896868
Corel	0.0894977
Seagram	0.0889648
Monster.com	0.0888104
CNET	0.0882613
"HBO &AMP; Co."	0.0881749
Omnicom	0.0877719
GANNETT	0.0876596
Mattel	0.0871578
"Vanguard Group"	0.0871195
EarthLink	0.0870226
XYLAN	0.0866661
Google	0.0866023
"Hong Kong Telecom"	0.0865271
"Mattel Inc."	0.0865168
Providian	0.0863235
DrKoop.com	0.0861028
"Dow Jones &AMP; Co."	0.0856648
McKesson	0.0856301
Sunbeam	0.085356
"Silicon Graphics"	0.0852131
"Cadbury Schweppes"	0.0852051
Citigroup	0.0851722
"American International Group"	0.0850772
Lycos	0.0844437
Seagate	0.0841209
ZDNet	0.0840429
ExciteAtHome	0.0840078
Marketspan	0.0837954
Instinet	0.0834961
Litton	0.0833897
"Livent Inc."	0.0831257
"CMGI Inc."	0.0826885
"Bausch &AMP; Lomb"	0.0821119
"Reed Elsevier"	0.0819191
TYCO	0.0816722
VoiceStream	0.0812517
YankeeNets	0.0807278
Hasbro	0.0804115
Aetna	0.0803811
Inktomi	0.0802394
Warnaco	0.0799123
Georgia-Pacific	0.0797978
"Ford Motor"	0.0796111
"Chevron Corp."	0.0795029
"Computer Associates"	0.0794678
Pepsico	0.0789164
Viacom	0.0788398
"Fannie Mae"	0.0787923
"Times Mirror"	0.0786768
Livent	0.0785001
"Media Metrix"	0.0780597
"SBC Communications Inc."	0.0777822
BankAmerica	0.0776564
Kodak	0.0776069
SFX	0.0775963
"RJR Nabisco"	0.077428
Broadcom	0.0774133
Enron	0.0774039
bombardier	0.0772605
HBOC	0.0768735
WebMD	0.0768479
"Real Networks"	0.0764341
AIG	0.0762907
"Con Edison"	0.0761112
Amgen	0.0759002
"Yahoo Inc."	0.0758486
"Andersen Consulting"	0.0756306
Nortel	0.0754967
Astra	0.0753258
Salon.com	0.0751591
ARCO	0.0748111
SGI	0.0746607
"Bankers Trust"	0.0744773
MindSpring	0.0739846
AltaVista	0.073977
Barnesandnoble.com	0.0739633
Genentech	0.0738038
Checkfree	0.0735207
"Pharmacia &AMP; Upjohn"	0.0735192
"Relevant Knowledge"	0.0733617
Cisco	0.0733135
"CBS Corp."	0.0732874
BCE	0.0732271
Raytheon	0.0731545
"Hughes Electronics"	0.0727794
Honeywell	0.0725905
MetLife	0.072575
Unicom	0.0725655
"Legend Group"	0.0725626
"Raytheon Co."	0.0724313
"Sara Lee"	0.0724297
IDT	0.0724271
Vivendi	0.0722337
"Red Hat"	0.0714903
"International Business Machines Corp."	0.0713636
women.com	0.0711856
E-Trade	0.0709742
Scientific-Atlanta	0.0708172
Tenneco	0.0707181
"Redwood City"	0.0706297
"Harvard Pilgrim Health Care"	0.0706253
"Cox Communications"	0.0706041
"Dayton Hudson"	0.0705887
Tandy	0.0704885
"Wells Fargo"	0.0703339
"Hearst Corp."	0.0700444
Ciena	0.0699992
Delphi	0.0699803
TiVo	0.0699071
"Viacom Inc."	0.0698436
"Northeast Utilities"	0.0696788
"Delphi Automotive Systems"	0.0695477
"Dell Computer Corp."	0.0694213
"General Electric"	0.069418
Telefonica	0.0693573
Nextel	0.0692073
Belo	0.0691974
Interpublic	0.0691346
eToys	0.0690056
Alcoa	0.0689872
"News Corp."	0.068961
Barclays	0.0689025
AMF	0.0689022
Mannesmann	0.0688124
"Big Blue"	0.068644
LIFFE	0.068568
"MCI WorldCom"	0.0685633
"JDS Uniphase"	0.0684471
"Dow Chemical"	0.0683648
"Travelers Group"	0.0682997
Monsanto	0.0679826
UTC	0.0679492
))
(Chinas (desc 3867.43) (sims
"Taiwan Independence"	0.171761
splittism	0.125755
separatism	0.0873941
reunification	0.0781433
hegemonism	0.0674077
self-determination	0.0660071
Koreas	0.0653185
PNTR	0.0609384
statehood	0.0584757
decolonization	0.0582371
state-to-state	0.0579065
nonalignment	0.0564949
"family planning"	0.054707
"free association"	0.0544063
"international criminal court"	0.0542059
multi-ethnic	0.052851
Systems	0.0526828
"Super League"	0.0521222
Eximbank	0.0514096
outspokenness	0.0504505
secession	0.0500615
"State Development Bank"	0.0499567
"African Union"	0.0488903
self-reliance	0.0482594
self-rule	0.0482278
noninterference	0.048057
"market economy"	0.0472828
"double standard"	0.0467555
"fait accompli"	0.0466873
"human race"	0.0463604
neutrality	0.0460481
"Korean Peninsula"	0.0456253
partition	0.0453191
pluralism	0.0444805
disunity	0.0434622
nonintervention	0.0434189
"land reform"	0.0418537
theocracy	0.0415845
protectionism	0.0412187
KNU	0.0412043
fastest-growing	0.0406992
identifier	0.0404841
shipbuilder	0.0404403
))
(Chinatown (desc 13203.1) (sims
"Washington Heights"	0.124474
"Hell's Kitchen"	0.120782
"Greenwich Village"	0.119195
"Little Italy"	0.119097
"East Village"	0.118675
"North Beach"	0.105025
"business district"	0.104135
Soho	0.102356
"West Village"	0.097639
"Crown Heights"	0.0954452
Harlem	0.0931944
Tribeca	0.0931594
Buckhead	0.0902489
"San Fernando Valley"	0.0896206
"East New York"	0.0896031
"North End"	0.0891417
"Brighton Beach"	0.0890907
Midtown	0.0864661
"Times Square"	0.0863791
"South End"	0.0843773
Brooklyn	0.0830399
"South Bronx"	0.0810815
neighborhood	0.0809824
"Borough Park"	0.0808531
"Union Square"	0.0805179
"Lower East Side"	0.0797877
Bensonhurst	0.0795283
Flushing	0.0793722
Manhattan	0.0773249
"Brooklyn Heights"	0.07713
"Forest Hills"	0.0758523
"Old City"	0.0758158
"Silicon Alley"	0.0757227
"Sherman Oaks"	0.075271
Astoria	0.0748195
"Old Town"	0.0728398
"Long Island City"	0.0727933
Williamsburg	0.0725983
Bedford-Stuyvesant	0.0724496
"inner city"	0.071228
"Beverly Hills"	0.0711739
"North Hollywood"	0.0701293
"Staten Island"	0.0698479
"Rockefeller Center"	0.0696615
Roxbury	0.0693304
Tempe	0.0693169
Glendale	0.0685431
borough	0.0682203
"Little Havana"	0.0677384
"Van Nuys"	0.0675822
"The Bronx"	0.0674799
"East Harlem"	0.0673125
Chatsworth	0.0668179
"city center"	0.0667488
"French Quarter"	0.0666732
Burbank	0.0664559
Englewood	0.066059
"Harvard Square"	0.0655393
"Left Bank"	0.0651184
"Woodland Hills"	0.0648822
"West Hollywood"	0.0646902
"Park Slope"	0.0638323
"Overland Park"	0.0632639
"Upper West Side"	0.0630855
Flatbush	0.0626803
suburb	0.0626493
Tijuana	0.0625336
Charlestown	0.0624252
Dorchester	0.0623345
Chelsea	0.060978
"New York City"	0.0604636
"South Boston"	0.0604467
"Bay Area"	0.060381
"White Plains"	0.0603703
"East Boston"	0.0602968
"Studio City"	0.0600978
waterfront	0.0599748
"West Los Angeles"	0.0595486
"Grand Central Terminal"	0.0593891
metropolis	0.0591583
"Coney Island"	0.0589501
"East Hampton"	0.058676
"Granada Hills"	0.0582614
Zhongguancun	0.0578439
Appalachia	0.0576469
"Central Park"	0.0576303
Ridgewood	0.0576191
"east side"	0.0574974
mall	0.0569049
"World Trade Center"	0.0568957
slum	0.0566072
Pudong	0.055982
Lhasa	0.0554835
"San Francisco"	0.0552586
L.A	0.0548348
Bethlehem	0.0545094
"Silicon Valley"	0.0541944
Tarzana	0.0541271
Pasadena	0.0540038
Austin	0.0539555
"Fort Worth"	0.0536964
"Taxi Driver"	0.0535333
Manchester	0.0531368
LAKEWOOD	0.0531133
Alpharetta	0.0530037
"Santa Fe"	0.052848
"red-light district"	0.0526074
"shopping center"	0.052572
"Penn Station"	0.0525627
"Mexico City"	0.0519626
Pacoima	0.0518626
"St. Petersburg"	0.0518203
"suburban area"	0.0517704
Yonkers	0.0517035
Queens	0.0515648
Havana	0.0512568
"Little Rock"	0.0511977
Metroplex	0.051157
"Fort Worth-Dallas"	0.0510113
Bronx	0.0506028
queen	0.0503858
"Northern California"	0.0503197
"Miami Beach"	0.0501931
Rochester	0.0501187
Dunwoody	0.0500038
skyline	0.0500021
Encino	0.0498424
"Saratoga Springs"	0.0497494
"Palm Beach"	0.0497418
Georgetown	0.0496189
"West Palm Beach"	0.0493695
Savannah	0.0493069
Beirut	0.0491448
Juarez	0.0491016
"Westchester County"	0.0490542
Tianjin	0.0489315
"West End"	0.0489154
Woodside	0.0488968
Pristina	0.0486547
Quito	0.0486471
Venice	0.0486385
Riverdale	0.0484948
Berlin	0.0483876
"Southern California"	0.0482813
Marina	0.0481677
Berkeley	0.0481098
"Long Beach"	0.0479269
"west side"	0.04788
"Palo Alto"	0.0477788
"Upper East Side"	0.0476891
"Beacon Hill"	0.0476886
"Holy Land"	0.0475646
"Westlake Village"	0.0474056
Wichita	0.0473802
"Port St. Lucie"	0.0473314
Belfast	0.0473093
Istanbul	0.0471781
Westport	0.0471778
Minneapolis	0.0471302
"Jersey City"	0.0470538
Kowloon	0.0467786
Lancaster	0.046714
CARACAS	0.0465253
"Studio @@"	0.0463811
"Santa Monica"	0.0463782
Newark	0.0463767
Jasper	0.0462737
"city hall"	0.0462571
Medina	0.0461192
Albany	0.0459622
Chappaqua	0.045865
Marietta	0.0458026
southland	0.0457719
Cambridge	0.0457095
"Big Apple"	0.0456457
"small town"	0.0455984
Naples	0.0455944
"Pudong New Area"	0.0455686
subway	0.0455563
"Twin Cities"	0.0454726
Scottsdale	0.0453072
Rome	0.0452989
Guangzhou	0.0452418
Stockbridge	0.0452281
"Kansas City"	0.0452084
Nashua	0.0451562
Hanover	0.0451002
"shopping mall"	0.0450843
"Corpus Christi"	0.0449825
ghetto	0.0449327
Italian-American	0.0448937
Decatur	0.0448823
Duluth	0.0447333
BUDAPEST	0.0447306
"Des Moines"	0.0444218
Knoxville	0.0443119
Watertown	0.044251
Norcross	0.0442301
"East River"	0.0441929
"Mississippi Delta"	0.0441054
))
(Chinese (desc 158840) (sims
French	0.170671
Russian	0.163135
Japanese	0.159265
Portuguese	0.154753
American	0.150037
Vietnamese	0.145721
people	0.14472
"South African"	0.14154
Greek	0.141399
German	0.141136
Spanish	0.139847
Korean	0.137925
citizen	0.134555
businessmen	0.133252
foreigner	0.131316
English	0.130035
Tibetan	0.128321
"South Korean"	0.127557
resident	0.127483
European	0.125979
Turkish	0.12366
Thai	0.12314
Mexican	0.121597
Dutch	0.121119
farmer	0.120748
tourist	0.120449
Indonesian	0.120027
Arab	0.119555
Ukrainian	0.117801
Italian	0.117392
Filipino	0.116782
student	0.116458
Iranian	0.115757
Egyptian	0.115082
Muslim	0.113837
Canadian	0.113576
Swedish	0.113423
China	0.112084
Israeli	0.111882
immigrant	0.111879
African	0.111661
British	0.110602
investor	0.110281
U.S.	0.110093
Palestinian	0.110049
Irish	0.109723
Malaysian	0.108058
Koreans	0.107373
Cuban	0.107195
scientist	0.107093
Indian	0.107066
Kenyan	0.106734
Albanian	0.105714
government	0.105709
worker	0.105467
entrepreneur	0.105217
enterprise	0.104818
woman	0.104688
Arabic	0.104247
compatriot	0.104012
Australian	0.103978
Nigerian	0.103434
Taiwanese	0.103223
Lebanese	0.10309
Tibetans	0.103044
Asian	0.10262
Mongolian	0.101852
Jew	0.101226
Iraqi	0.101209
Pakistani	0.100837
member	0.100805
journalist	0.100739
visitor	0.100678
country	0.100533
minority	0.0994927
national	0.0986067
"more than @@@"	0.0983288
Brazilian	0.0982739
official	0.0978143
Finnish	0.0977971
Danish	0.0972962
Hungarian	0.0970172
christian	0.0969635
scholar	0.0958138
local	0.095644
consumer	0.0948931
individual	0.0947167
Singaporean	0.0944126
diplomat	0.0938361
Catholic	0.0933696
professional	0.0930648
refugee	0.0930291
"Latin American"	0.0928164
Jordanian	0.0919036
Cambodian	0.0912703
Serbs	0.090928
black	0.090908
participant	0.0902529
Bulgarian	0.0900038
community	0.0899766
Philippine	0.0899227
"South Koreans"	0.0899058
Romanian	0.0898704
nation	0.0895639
leader	0.0895239
child	0.0893294
language	0.089326
"Sri Lankan"	0.0889399
businesspeople	0.0888426
"North Korean"	0.0887937
us	0.0886079
public	0.0883998
voter	0.0883809
family	0.0883299
customer	0.0880723
Turk	0.0873481
company	0.0873291
athlete	0.087182
youth	0.0866448
Latin	0.0864353
artist	0.0863216
Armenian	0.0863011
Colombian	0.0861378
"United States"	0.0857513
group	0.0857269
Haitian	0.0856055
user	0.0855531
villager	0.0855019
Syrian	0.0854165
expert	0.0850412
Hispanic	0.0848818
"more than @,@@@"	0.0846361
employee	0.0845353
Mozambican	0.084225
Ethiopian	0.0839428
youngster	0.0838591
"Hong Kong"	0.0837213
Hebrew	0.0833173
politician	0.0831161
civilian	0.0830674
traveler	0.0829328
"Puerto Rican"	0.0827165
organization	0.0827096
migrant	0.0825827
teacher	0.0822915
Briton	0.0822204
"college student"	0.0818591
parent	0.0818149
passenger	0.0811324
"ethnic group"	0.0810718
doctor	0.0809176
Angolan	0.0808524
household	0.0806337
Ugandan	0.0806099
corporation	0.0805699
African-American	0.0804432
industry	0.0804036
police	0.0803232
Kuwaiti	0.0797351
business	0.0796988
U.N.	0.0796072
Tanzanian	0.0794854
"native American"	0.0792892
Bangladeshi	0.0791244
state	0.0790305
institution	0.0789279
authority	0.0789253
soldier	0.0788292
man	0.078747
Austrian	0.0786142
party	0.0785096
Zambian	0.0784814
those	0.0784364
adult	0.0783402
sector	0.0782774
"business leader"	0.078277
Zimbabwean	0.0782482
"local government"	0.0782123
Norwegian	0.0780532
expatriate	0.0778181
Saudi	0.0777727
"Sierra Leonean"	0.0775135
person	0.0774885
delegate	0.0772888
firm	0.0772876
"civil servant"	0.0771019
laborer	0.0767558
"over @,@@@"	0.0767546
Swiss	0.0766615
"senior citizen"	0.0765634
patient	0.0764849
two	0.0764343
Greeks	0.0762413
"political party"	0.076134
Republican	0.0760671
exhibitor	0.0760156
Moslem	0.075603
"business community"	0.0755812
Xinhua	0.0753409
lawmaker	0.0752953
))
("Chinese Academy of Engineering" (desc 3406.59) (sims
"Chinese Academy of Sciences"	0.272903
CAS	0.187182
"China Association for Science"	0.165753
"Chinese Academy of Social Sciences"	0.133623
"Ministry of Information Industry"	0.130302
"Development Research Center"	0.121247
"United Front Work Department"	0.1147
"State Forestry Administration"	0.111287
"Beijing University"	0.109814
"State Bureau of Cultural Relics"	0.109292
academician	0.108508
"State Planning Commission"	0.108173
"State Education Commission"	0.108139
"Ministry of Water Resources"	0.107969
"State Science and Technology Commission"	0.104401
"State Environmental Protection Administration"	0.0993596
"Ministry of Internal Trade"	0.0975721
"State Development Planning Commission"	0.0948546
"Ministry of Science"	0.0945917
"Chinese Olympic Committee"	0.0937433
"All-China Federation"	0.0922744
"State Administration of Taxation"	0.0916103
"Ministry of Personnel"	0.0911719
"Qinghua University"	0.0909958
CPAFFC	0.0893835
"China Society"	0.0890643
"Brookings Institution"	0.0877658
"Fudan University"	0.0875129
"Ministry of Agriculture"	0.0828949
"China Council"	0.0822367
"State Bureau of Environmental Protection"	0.0810629
"American Enterprise Institute"	0.079143
"Ministry of Education"	0.0787873
"World Jewish Congress"	0.0782089
"Inter-Parliamentary Union"	0.0765473
"Heritage Foundation"	0.0764314
"All-China Youth Federation"	0.0763899
"Chinese People's Political Consultative Conference"	0.0750214
"Red Cross Society"	0.0746064
"Council on Foreign Relations"	0.074022
"Shanghai Municipal Government"	0.0738142
"Ministry of Public Security"	0.0734853
"Chinese Society"	0.0731007
"Chinese University of Hong Kong"	0.0728985
"Academy of Motion Picture Arts"	0.0720993
"Organizing Committee"	0.0712325
"municipal government"	0.0705462
"CPPCC National Committee"	0.069848
"Museum of Chinese History"	0.0694632
"Central Committee"	0.0692497
"Asia Society"	0.0691282
"Drought Relief Headquarters"	0.06897
"Allied Pilots Association"	0.0686877
"China National Tourism Administration"	0.0684835
"Ministry of Construction"	0.0681659
"United Nations Educational, Scientific and Cultural Organization"	0.0678581
"Ministry of Geology"	0.0678186
"General Administration of Customs"	0.0676244
"Association for Relations Across"	0.0673581
"RAND Corp."	0.0666
"U.S. Soccer Federation"	0.0663439
"Beijing Municipal Government"	0.0661373
"All-China Journalists Association"	0.0659884
"International Badminton Federation"	0.0657348
"National Geographic Society"	0.06568
ARATS	0.0646938
"Union of Concerned Scientists"	0.0645335
"Association for Friendship"	0.064332
"Rockefeller University"	0.0641812
"State Administration of Cultural Heritage"	0.0633116
"Ministry of Public Health"	0.0631588
"Ministry of Foreign Trade and Economic Cooperation"	0.0629535
"Political Consultative Conference"	0.0627229
"International Association of Machinists"	0.0626764
"Ministry of Communications"	0.0621702
"University of China"	0.0619537
"State Administration of Internal Trade"	0.0614644
"Olympic Council of Asia"	0.0612521
"Federal Assembly"	0.0608759
"China National Petroleum Corporation"	0.0603002
CCF	0.0599749
"World Tourism Organization"	0.0598003
"International Society"	0.0595536
"American Association of Health Plans"	0.059017
"International Amateur Athletic Federation"	0.0590105
"Carnegie Endowment"	0.0588849
"Australian Olympic Committee"	0.058633
"Ministry of Civil Affairs"	0.0582603
"Bell Labs"	0.0582376
"National Tourism Administration"	0.0582166
"Palestinian Council"	0.0581729
"Democratic Leadership Council"	0.0581162
"International Brotherhood"	0.0576254
"Ministry of Finance"	0.057394
"Xinhua News Agency"	0.0573433
"National Abortion and Reproductive Rights Action League"	0.0570792
CNOOC	0.0566637
"International Skating Union"	0.0565778
"American Association of Retired Persons"	0.056544
"Cambodian People's Party"	0.0560624
"work unit"	0.0559995
"Asian Development Bank"	0.0559952
"Hearst Corporation"	0.0558687
"State Economic and Trade Commission"	0.0557027
ACWF	0.0555961
"Zhejiang University"	0.0547429
"Council of State"	0.0546752
"Propaganda Department"	0.054538
"Shanghai Branch"	0.0542672
MSF	0.0541646
"Ford Foundation"	0.0541429
"Ministry of Culture"	0.0538232
"Natural Resources Defense Council"	0.0528111
"Ninth CPPCC National Committee"	0.0526437
"National Council of La Raza"	0.0522649
"Canadian International Development Agency"	0.0520752
"Rotary International"	0.0518001
"Party School"	0.0516133
"United Malays National Organization"	0.0515579
ACFTU	0.0515063
"Xinhua News Agency Hong Kong Branch"	0.0514198
"U.N. Environment Program"	0.0513138
CCB	0.0511792
"Kaiser Family Foundation"	0.0509027
Lakas-NUCD	0.0508763
"Center for Strategic"	0.0508383
"Global Environment Facility"	0.0508004
"League of Women Voters"	0.0507706
"U.S. Chamber of Commerce"	0.0507465
UNDP	0.0507135
Eximbank	0.0506043
"National Organization"	0.0503995
"American Petroleum Institute"	0.0503816
"National Committee"	0.0502749
"Taiwan Affairs Office"	0.0501795
"research center"	0.0501205
"Legend Group"	0.0497037
"Board of Supervisors"	0.0495868
"China Youth Development Foundation"	0.0495779
"Ministry of Forestry"	0.0495517
Laban	0.0494583
"Supreme People"	0.0494561
CNPC	0.0494432
ENTREMED	0.0493843
"Election Committee"	0.049218
"Log Cabin Republicans"	0.0490592
"Economic and Social Council"	0.0489054
"American Association"	0.0488725
"Hong Kong Monetary Authority"	0.0486449
"College Board"	0.0485546
"Larry Sabato"	0.0484503
"Nanjing University"	0.0481835
"Commission on Presidential Debates"	0.0480883
"Urban Institute"	0.0480317
"United Nations Industrial Development Organization"	0.0478129
"Board of Elections"	0.0477413
"Ministry of Foreign Trade"	0.0475334
"Benevolent Association"	0.0474821
"Richard Smith"	0.0471759
"EU Commission"	0.0471173
"National Alliance"	0.0468915
"China Securities Regulatory Commission"	0.0465133
COSCO	0.0464594
oceanographer	0.0461344
Qinghua	0.0460735
OCA	0.046009
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"Freedom Forum"	0.0458184
Bundestag	0.0456694
"Johns Hopkins University"	0.0456571
"International Atomic Energy Agency"	0.045603
"USA Basketball"	0.0455008
ICBC	0.0454203
"International Amateur Athletics Federation"	0.045144
"Information Office"	0.0451306
Bellamy	0.0450762
MOFTEC	0.0450384
CCPIT	0.0450106
botanist	0.0450054
"United Nations Development Program"	0.0449918
CASS	0.0449195
"African Development Bank"	0.0449033
"Families USA"	0.0449012
"Communications Workers of America"	0.0448069
"Ministry of Health"	0.0447746
"Ford Motor Company"	0.0445585
"Federal Reserve Bank of New York"	0.0444424
"International Federation"	0.0443601
CFA	0.0442184
"China Federation"	0.0440845
"National Audubon Society"	0.044081
"senior class"	0.0439757
"National People's Congress"	0.0438911
"National Education Association"	0.043837
"American Heart Association"	0.043753
"United Steelworkers"	0.0436415
"Prince Abdullah Ibn Abdul-Aziz"	0.043434
"American Red Cross"	0.0433856
"University of Virginia"	0.043359
"Air China"	0.0433575
))
("Chinese Academy of Sciences" (desc 13228.5) (sims
"Chinese Academy of Social Sciences"	0.287035
"Chinese Academy of Engineering"	0.272903
CAS	0.257566
"State Development Planning Commission"	0.178841
"Qinghua University"	0.178283
"Ministry of Education"	0.165286
"Beijing University"	0.156732
"Ministry of Science"	0.153083
"State Economic and Trade Commission"	0.145076
"Ministry of Foreign Trade and Economic Cooperation"	0.141331
"Development Research Center"	0.139031
"Ministry of Agriculture"	0.138446
"State Education Commission"	0.137249
institute	0.135169
"State Science and Technology Commission"	0.134154
"Ministry of Public Security"	0.133403
"Ministry of Personnel"	0.132292
"Ministry of Construction"	0.130712
"China Council"	0.130643
"State Environmental Protection Administration"	0.130525
"municipal government"	0.129912
"Ministry of Culture"	0.128631
"Ministry of Information Industry"	0.126903
"State Planning Commission"	0.124686
"China Association for Science"	0.123174
"Urban Institute"	0.121967
"Fudan University"	0.121008
"Brookings Institution"	0.115734
"Zhejiang University"	0.114539
"Ministry of Finance"	0.111629
"Beijing Municipal Government"	0.111435
"All-China Journalists Association"	0.110991
"Civil Aviation Administration of China"	0.108814
"Bank of China"	0.107701
"Ministry of Foreign Trade"	0.106866
"Ministry of Water Resources"	0.105866
"Ministry of Communications"	0.105228
"China National Petroleum Corporation"	0.102881
"Ministry of Health"	0.102617
"American Enterprise Institute"	0.101112
"University of Hong Kong"	0.100352
"Ministry of Public Health"	0.0990366
"University of China"	0.0978621
"National Tourism Administration"	0.0977309
"Center for Strategic"	0.0970158
"Nanjing University"	0.0966711
university	0.0961969
"Industrial and Commercial Bank of China"	0.0957481
"National Cancer Institute"	0.0948237
"Ministry of Posts"	0.0946365
"National Institutes of Health"	0.0930125
"State Bureau of Cultural Relics"	0.0929511
"RAND Corp."	0.0928919
"State Forestry Administration"	0.0917326
"Association for Friendship"	0.0907895
"All-China Federation"	0.090753
"State Administration of Cultural Heritage"	0.0896696
"Federal Reserve Bank of New York"	0.0886169
academy	0.0885321
"Central Committee"	0.0884998
"Ministry of Railways"	0.0878338
"Shanghai Municipal Government"	0.0874609
"National Aeronautics and Space Administration"	0.0866841
"Carnegie Endowment"	0.0865534
"China Youth Development Foundation"	0.0864637
"Heritage Foundation"	0.086458
"State Administration of Internal Trade"	0.0852613
"Ministry of Civil Affairs"	0.0845928
"Harvard School of Public Health"	0.0842841
"Information Office"	0.0841688
"Ministry of Justice"	0.0840275
"Massachusetts Institute of Technology"	0.083503
"Economic Cooperation"	0.0820925
"All-China Youth Federation"	0.0819289
"Johns Hopkins University"	0.0817186
"Ministry of Forestry"	0.0815635
"National Academy of Sciences"	0.0803935
"Natural Resources Defense Council"	0.0802944
ministry	0.0796882
"University of California"	0.0793181
"research center"	0.0791411
"China Society"	0.0791174
"Xinhua News Agency"	0.0790621
"U.S. Geological Survey"	0.0788257
"Propaganda Department"	0.0787953
"think tank"	0.0786578
"United Nations Development Program"	0.078514
"World Wildlife Fund"	0.0783598
"World Bank"	0.0764602
"Zhongshan University"	0.0763741
"Party School"	0.0759326
CPAFFC	0.075694
"Cornell University"	0.0756346
"Rockefeller University"	0.075615
Qinghua	0.0755694
"Institute of Medicine"	0.0751611
CDC	0.0750776
"State Administration for Industry"	0.074745
"Ministry of Labor"	0.0745842
"University of Rochester"	0.0742067
"United Nations Children's Fund"	0.0733253
"Department of Agriculture"	0.0722694
"Chinese People's Political Consultative Conference"	0.0719298
bureau	0.0714665
"Families USA"	0.0711977
"Oxford University"	0.0709749
"General Administration of Customs"	0.0709419
"State Statistics Bureau"	0.0707722
MOFTEC	0.0707535
"State Bureau of Environmental Protection"	0.0706654
federation	0.0705635
"Health Ministry"	0.0704945
"State Council"	0.0704869
"Asian Development Bank"	0.0702192
"Democratic Leadership Council"	0.0700445
"China Central Television"	0.0700396
"National Defense"	0.0699832
"World Health Organization"	0.0699409
"Ministry of Internal Trade"	0.0698623
"American Association of Retired Persons"	0.0698511
"Construction Bank of China"	0.0696731
UNDP	0.0695011
"University of Chicago"	0.0694374
"Stanford University"	0.0688714
"Inter-Parliamentary Union"	0.0687397
"Taiwan Affairs Office"	0.0685724
"Harvard University"	0.0685604
"University of Michigan"	0.068173
"National Oceanic and Atmospheric Administration"	0.0677963
"Chinese Foreign Ministry"	0.0677753
"Union of Concerned Scientists"	0.067744
"Asia Society"	0.0670453
ACWF	0.066684
ICBC	0.0666145
"People's Bank of China"	0.066606
"Red Cross Society"	0.0662571
"Brown University"	0.0660996
"National Committee"	0.0658386
"World Petroleum Congress"	0.0652381
"Hong Kong Trade Development Council"	0.0651599
"chamber of commerce"	0.0651555
"Princeton University"	0.065127
academician	0.0649962
"Association for Relations Across"	0.064908
CASS	0.0649058
ACFTU	0.0646762
"China Construction Bank"	0.0641826
"Michigan State University"	0.0640384
"California Institute of Technology"	0.063964
"Johns Hopkins"	0.0638166
"International Atomic Energy Agency"	0.0637987
"Conference Board"	0.0637933
"Peking University"	0.0636472
"George Washington University"	0.0636289
"Columbia University"	0.0633403
"Kaiser Family Foundation"	0.0632604
"Hong Kong Tourist Association"	0.0632343
association	0.0630148
"U.S. Defense Department"	0.0629666
"International Amateur Athletic Federation"	0.0628539
"Council on Foreign Relations"	0.0626116
"United Nations Environment Program"	0.0625907
"National Marine Fisheries Service"	0.0624874
"CPPCC National Committee"	0.0622629
"Chinese Olympic Committee"	0.0621822
"Agriculture Ministry"	0.0618618
"Human Rights Watch"	0.0618075
"Harvard Medical School"	0.0617541
"University of Pennsylvania"	0.0615661
"Bell Labs"	0.0612287
"University of Wisconsin"	0.0611928
"Ministry of Land"	0.0611784
"China Securities Regulatory Commission"	0.0605797
"International Federation"	0.0604712
"Pennsylvania State University"	0.0603627
"European Commission"	0.0597064
"National Research Council"	0.0596086
"Palace Museum"	0.0594777
"State Administration of Taxation"	0.0594626
"Chinese government"	0.0594373
"World Economic Forum"	0.0592873
"China Federation"	0.059275
"Ministry of Geology"	0.0592291
"NPC Standing Committee"	0.059151
"Congressional Research Service"	0.0591483
"Organization Department"	0.0591152
"State Development Bank"	0.0590385
"CPC Central Committee"	0.0589214
CCPIT	0.0587651
"Purdue University"	0.0586377
"University of Toronto"	0.0585676
"International Labor Organization"	0.0584089
"University of Massachusetts"	0.0581948
"Department of Health"	0.0579125
"China Telecom"	0.0578136
UNESCO	0.0576422
CCA	0.0572943
"local government"	0.0572394
"American Association"	0.0571116
"China National Tourism Administration"	0.057043
))
("Chinese Academy of Social Sciences" (desc 6698.83) (sims
"Chinese Academy of Sciences"	0.287035
"Development Research Center"	0.23375
"Urban Institute"	0.225895
"American Enterprise Institute"	0.197771
"Beijing University"	0.189986
"Center for Strategic"	0.179514
"Brookings Institution"	0.178397
"Qinghua University"	0.15814
"RAND Corp."	0.15638
"Fudan University"	0.14991
"Cato Institute"	0.139651
"Heritage Foundation"	0.13904
"State Planning Commission"	0.138668
"Harvard School of Public Health"	0.137246
institute	0.135146
CAS	0.133771
"Chinese Academy of Engineering"	0.133623
"State Development Planning Commission"	0.131017
"Natural Resources Defense Council"	0.127392
"State Statistics Bureau"	0.126313
"Congressional Research Service"	0.12576
"Institute of Medicine"	0.125244
"State Economic and Trade Commission"	0.124618
"Federal Reserve Bank of New York"	0.124222
"Ministry of Agriculture"	0.122628
"Ministry of Water Resources"	0.120266
"Kaiser Family Foundation"	0.11316
"Xinhua News Agency"	0.112817
"Ministry of Communications"	0.11232
"Ministry of Public Health"	0.111678
"University of China"	0.111642
"All-China Youth Federation"	0.111024
"think tank"	0.110802
"State Environmental Protection Administration"	0.110796
"State Administration of Internal Trade"	0.110379
"Ministry of Education"	0.109401
"Nanjing University"	0.108983
"Conference Board"	0.108565
"Ministry of Information Industry"	0.10766
"All-China Journalists Association"	0.107535
"State Education Commission"	0.107107
"Ministry of Foreign Trade and Economic Cooperation"	0.106877
"Council on Foreign Relations"	0.106158
"University of Hong Kong"	0.105674
"State Forestry Administration"	0.105134
"State Science and Technology Commission"	0.103743
"State Administration of Cultural Heritage"	0.102362
"Bank of China"	0.1022
"Ministry of Finance"	0.101929
"Carnegie Endowment"	0.101928
"Oxford University"	0.101849
"China Society"	0.101747
"Ministry of Internal Trade"	0.101234
"Harvard University"	0.101028
"Ministry of Labor"	0.100629
"United Nations Children's Fund"	0.0996498
"Association for Friendship"	0.098504
"National Federation"	0.0975528
"Families USA"	0.0962879
"National Research Council"	0.0956093
"China Council"	0.0947657
"Hong Kong Trade Development Council"	0.0943054
"Information Office"	0.0939306
"University of Michigan"	0.0930132
"State Bureau of Environmental Protection"	0.0929406
"Ministry of Science"	0.0917084
"United Nations Environment Program"	0.0914601
"University of Chicago"	0.090357
"American Petroleum Institute"	0.0898324
"United Nations Development Program"	0.0890335
"National Tourism Administration"	0.0884423
"University of California"	0.0870056
"Center for Responsive Politics"	0.0862061
"Center on Budget"	0.0857096
"Stanford University"	0.0854932
"Asian Development Bank"	0.0846624
"Johns Hopkins University"	0.0846427
"People's Bank of China"	0.0844538
"Human Rights Watch"	0.0844193
"China National Tourism Administration"	0.0842882
"Global Environment Facility"	0.084189
"George Washington University"	0.0839062
"University of Rochester"	0.083708
"Nankai University"	0.0836594
"Hong Kong Monetary Authority"	0.083169
"Canadian International Development Agency"	0.0819055
"Party School"	0.081691
"All-China Federation"	0.081689
"Ministry of Personnel"	0.0816643
"Chinese University of Hong Kong"	0.0812786
"Propaganda Department"	0.0810162
"State Statistical Bureau"	0.0809659
"Columbia University"	0.0807791
"Ministry of Construction"	0.0805606
"China National Petroleum Corporation"	0.080528
"China Association for Science"	0.0799693
"United Nations Conference on Trade and Development"	0.079343
"Central Bank of Kenya"	0.0793155
"Health Ministry"	0.0791422
"Inter-Parliamentary Union"	0.0788711
"Food and Agriculture Organization"	0.0785421
"National Cancer Institute"	0.0785127
"Rockefeller University"	0.0784628
"American Association of Retired Persons"	0.0783798
"General Accounting Office"	0.0780186
"Ministry of Forestry"	0.0777109
"International Labor Organization"	0.0776677
"Smith College"	0.0776403
"National Academy of Sciences"	0.0773058
"Central Bureau of Statistics"	0.0772548
"Massachusetts Institute of Technology"	0.0772275
"World Health Organization"	0.0771884
"University of Minnesota"	0.077026
"General Administration of Customs"	0.0767703
"Ministry of Health"	0.076723
"Michigan State University"	0.0761735
"Hong Kong Tourist Association"	0.0760955
Dataquest	0.0759833
"World Petroleum Congress"	0.0757886
"U.S. Geological Survey"	0.0756336
Qinghua	0.0754131
"Taiwan Affairs Office"	0.0750356
"National Highway Traffic Safety Administration"	0.0747157
"Kennedy School of Government"	0.0747074
"World Tourism Organization"	0.0745136
"Ministry of Justice"	0.074482
"Ohio State University"	0.0743578
"research center"	0.0740937
"College Board"	0.0739967
"Princeton University"	0.0736154
"International Badminton Federation"	0.073561
"University of Illinois"	0.0733943
"University of Pennsylvania"	0.0733614
academy	0.0733303
"University of Maryland"	0.0731336
"China Central Television"	0.073006
"Industrial and Commercial Bank of China"	0.0725638
"Ministry of Public Security"	0.0720065
DRI	0.0718001
"Labor Ministry"	0.0716746
"Chinese Foreign Ministry"	0.0714955
"Asia Society"	0.0714351
"Rutgers University"	0.0712794
"University of Wisconsin"	0.0712623
"ASEAN Secretariat"	0.0711069
"University of Massachusetts"	0.0710065
"Ministry of Posts"	0.0705924
"Ministry of Industry"	0.0704472
"Department of Agriculture"	0.070205
"Ministry of Culture"	0.0700377
"United Nations Industrial Development Organization"	0.0700053
"Zhejiang University"	0.0699671
"United Nations Educational, Scientific and Cultural Organization"	0.0699519
"Ministry of Planning"	0.0698432
"University of Toronto"	0.069605
"Thai Foreign Ministry"	0.0691963
"New York University"	0.0691954
"Ministry of Trade and Industry"	0.0689942
"Ministry of Foreign Trade"	0.0689291
"Chinese Olympic Committee"	0.0687268
"Economic Planning Agency"	0.0686534
"Standard Chartered Bank"	0.0686356
"Ministry of Geology"	0.0685149
"chamber of commerce"	0.0684598
"Forrester Research"	0.0683082
"California Institute of Technology"	0.0682909
"Jupiter Communications"	0.0680972
"Department of Health and Human Services"	0.0680885
"Hong Kong Federation"	0.0678419
"Hebrew University"	0.0678417
"Australian Bureau of Statistics"	0.0677175
"Brown University"	0.0676344
CPAFFC	0.0675022
"Ministry of Civil Affairs"	0.0671211
"China Youth Development Foundation"	0.0669979
"China Federation"	0.0668728
"Vanderbilt University"	0.0665881
"Civil Aviation Administration of China"	0.066561
"United Nations Population Fund"	0.0664021
"U.N. Development Program"	0.066344
"Bureau of Labor Statistics"	0.0661719
"Economic Commission for Africa"	0.0660327
"National Bureau of Statistics"	0.0660284
"World Wildlife Fund"	0.0659406
"American Association"	0.0655841
"Department of Trade and Industry"	0.0655052
CDC	0.0650859
"Freedom Forum"	0.0650803
"Ministry of Railways"	0.0650183
"Ministry of Supervision"	0.0649467
"Zhongshan University"	0.0649162
"Democratic Leadership Council"	0.0646152
"Cornell University"	0.0645587
"European Commission"	0.0642568
"State Administration of Taxation"	0.0640783
"American Association of Health Plans"	0.0640293
CASS	0.0639596
"Department of Labor"	0.0639215
"Purdue University"	0.0638491
"Carnegie Mellon University"	0.0638387
))
("Chinese Army" (desc 1260.22) (sims
"Beijing Guo"	0.329945
"Sichuan Quanxing"	0.321922
"Shanghai Shenhua"	0.301181
"Jinan Taishan"	0.298882
"Guangzhou Apollo"	0.266516
"Dalian Wanda"	0.264845
"Guangdong Hongyuan"	0.249149
"Qingdao Hainiu"	0.24752
"Beijing Ducks"	0.196366
"Liaoning Hunters"	0.187251
Torino	0.161854
Hainiu	0.157954
Bastia	0.156405
Watford	0.153427
"Real Betis"	0.153178
"Boca Juniors"	0.152581
"San Lorenzo"	0.148292
"Guangdong Tigers"	0.143239
"Deportivo La Coruna"	0.140634
"Velez Sarsfield"	0.138929
"Shanghai Sharks"	0.13732
"Olympique Marseille"	0.13684
Salernitana	0.136548
"VfL Wolfsburg"	0.135204
"Bayi Rockets"	0.134526
"Blackburn Rovers"	0.133228
"Hertha Berlin"	0.132264
Lecce	0.131067
"Red Star"	0.129783
Auxerre	0.128362
Espanyol	0.127767
"Leicester City"	0.127685
Spartak	0.127489
Gremio	0.127471
"West Ham United"	0.127444
"Coventry City"	0.126611
"Schalke @@"	0.126372
"AEK Athens"	0.125583
Shenhua	0.12539
Besiktas	0.124874
Villareal	0.124501
Palmeiras	0.123582
"VfB Stuttgart"	0.123428
Obilic	0.122925
"Jubilo Iwata"	0.121904
Fulham	0.121551
Nacional	0.121523
"Borussia Moenchengladbach"	0.120132
"FC Porto"	0.119305
"Shandong Flaming Bulls"	0.118473
"Celta Vigo"	0.117318
Hongyuan	0.116673
"AC Parma"	0.116252
"Athletic Bilbao"	0.115791
"Partizan Belgrade"	0.115546
"Derby County"	0.115066
"Crystal Palace"	0.114777
"Glasgow Rangers"	0.113107
"River Plate"	0.111774
Meligeni	0.110998
Fenerbahce	0.108728
corinthian	0.108677
"Bradford City"	0.108539
"Atletico Madrid"	0.108239
Penarol	0.107634
Cruzeiro	0.107138
Brondby	0.106771
Schalke	0.105881
Venezia	0.105671
Barnsley	0.105444
"Tatiana Panova"	0.104674
Perugia	0.103845
Freiburg	0.103366
"Newcastle United"	0.103129
"Paris St Germain"	0.102826
Rostock	0.102744
Flamengo	0.102551
Alaves	0.102216
"Nottingham Forest"	0.100275
"Slavia Prague"	0.0984123
Zamalek	0.0979345
Terps	0.0977334
"Kinder Bologna"	0.0975366
Sevilla	0.0972416
"Zhang Ning"	0.0960535
Wolfsburg	0.096015
Necaxa	0.0955679
"Colo Colo"	0.0945371
Rosenborg	0.0944999
"Miami Fusion"	0.0944043
Olimpia	0.0938204
Empoli	0.0937266
Metz	0.0934094
Duisburg	0.0930622
Benfica	0.0930325
Extremadura	0.0928142
"CHARLOTTE STING"	0.0921022
"Leeds United"	0.0920668
"Seibu Lions"	0.0918996
Valladolid	0.0918365
"Dallas Burn"	0.0914058
"Real Sociedad"	0.0913171
Sunderland	0.0912785
Anderlecht	0.091092
Cagliari	0.0896048
Kaiserslautern	0.0894873
"Phenix City"	0.0892793
Luton	0.0887708
Heerenveen	0.0886566
Feyenoord	0.0883166
"Bayer Leverkusen"	0.0876468
Tenerife	0.0874608
Zaragoza	0.087336
"Ajax Amsterdam"	0.0872665
"Tottenham Hotspur"	0.0870119
Piacenza	0.0864956
Middlesbrough	0.0863946
Tarango	0.0860995
Dortmund	0.0857144
AEK	0.0856899
"Borussia Dortmund"	0.0856057
PSV	0.085563
"Arnaud Boetsch"	0.0845703
Kashima	0.0841353
Betis	0.0838091
"Dynamo Kiev"	0.0837869
"Bafana Bafana"	0.0837695
"Spartak Moscow"	0.0834142
"Croatia Zagreb"	0.0833325
Leicester	0.08279
"American Chanda Rubin"	0.0827819
"Nathalie Dechy"	0.0819921
Maribor	0.0819216
Fiorentina	0.0817391
Susanti	0.0816448
Panathinaikos	0.0811206
Nippon	0.0809754
Estudiantes	0.0806988
Independiente	0.080315
"Vincent Spadea"	0.0801755
"Jan-Ove Waldner"	0.0800139
Udinese	0.0797622
PAOK	0.0796923
Habsudova	0.0793364
Ganassi	0.079095
Berasategui	0.0789374
Schalken	0.078852
Xavier	0.0788169
Waldner	0.0786961
Galatasaray	0.0784995
"Fighting Irish"	0.0781546
Springbok	0.0781187
"Yokohama Baystars"	0.078091
"Olympiakos Piraeus"	0.077793
Dosedel	0.0772855
Edberg	0.077241
Vicenza	0.0772293
Kasparov	0.0770596
Atletico	0.0768031
Vitesse	0.0766784
"PSV Eindhoven"	0.0763147
Celta	0.0760785
Bari	0.0758564
"Marcos Ondruska"	0.0754472
Larsson	0.075037
Salamanca	0.0749804
Vasco	0.0749639
"Calgary Flames"	0.0748853
Sugiyama	0.0743895
Vitoria	0.0743008
"Bayern Munich"	0.0741305
"Jorgen Persson"	0.0741267
Clavet	0.0740932
Ulihrach	0.0739613
"Russian Yevgeny Kafelnikov"	0.0738
Sampdoria	0.0731165
"Arnaud Di Pasquale"	0.0726172
"Andreas Vinciguerra"	0.0725498
spikers	0.0724901
Everton	0.0722118
Rennes	0.0721404
Bremen	0.0720406
Daiei	0.0718814
"Galo Blanco"	0.0717723
Gustafsson	0.0713785
"Stefan Edberg"	0.0712937
"AC Milan"	0.0712891
Ajax	0.0712643
Wanda	0.0711174
"D.C. United"	0.0710851
Mallorca	0.0710663
"Rainer Schuttler"	0.0708953
Bjorkman	0.0706307
Olympiakos	0.0705799
"West Ham"	0.070537
Lindland	0.0705155
"Hernan Gumy"	0.0704301
"Los Angeles Galaxy"	0.0703176
"Fernando Meligeni"	0.0700461
Porto	0.0699001
))
("Chinese Basketball League" (desc 1561.88) (sims
"basketball league"	0.30351
"European Champions League"	0.231927
EuroLeague	0.225855
"Volleyball Grand Prix"	0.218312
"Italian Cup"	0.178586
"Davis Cup World Group"	0.177725
"Libertadores Cup"	0.175605
"English Premier League"	0.145036
"Volleyball Championship"	0.140692
"Champions League"	0.13631
"Uber Cup"	0.131594
Basle	0.128104
"African Nations Cup"	0.127772
"Champions Cup"	0.121373
"Federation Cup"	0.121058
"Wimbledon Tennis Championships"	0.116959
"League Cup"	0.11674
Trondheim	0.115895
"Stockholm Open"	0.112336
Linz	0.108162
"World University Games"	0.107894
"National Invitation Tournament"	0.107773
relegation	0.107465
"UEFA Cup"	0.10192
"Paris Open"	0.101468
"European Swimming Championships"	0.100875
"Cup Winners Cup"	0.0999343
"Southeast Asian Games"	0.0993844
Hakuba	0.0991466
"Fed Cup"	0.0987577
"Euro @@@@"	0.0986766
"Hamlet Cup"	0.0982894
"Group @"	0.098195
"English Football Association"	0.0979589
"field hockey"	0.0957286
"Thomas Cup"	0.0950549
"World Group"	0.0945384
"Japan Open"	0.0939603
"Midwest Regional"	0.0918137
"FA Cup"	0.0916256
"European Championship"	0.090442
"European Champions Cup"	0.0904143
Kitzbuehel	0.0902078
"Kremlin Cup"	0.0891907
Engelberg	0.0883351
"Lipton Championships"	0.0880484
Filderstadt	0.0873497
Lugano	0.0870067
"National Basketball Association"	0.0869248
"German Open"	0.0856476
"World Weightlifting Championships"	0.0855714
"U.S. Senior Open"	0.0853841
Asuncion	0.0853136
"International Badminton Federation"	0.084598
Lillehammer	0.0825284
"Grand Slam Cup"	0.0812348
"Secretary General Esmat Abdel-Meguid"	0.0801285
"Premier League"	0.0801054
"Western Open"	0.07984
"St Petersburg"	0.079621
"Copa America"	0.0795856
volleyball	0.0793426
Halle	0.0783608
tourney	0.0780965
"Pan American Games"	0.077499
"Commonwealth Games"	0.0766901
"two first"	0.0764941
"London Marathon"	0.0763631
"round robin"	0.0762132
"stroke play"	0.0757515
"Nations Cup"	0.0752788
Whitbread	0.0751816
"Villa Park"	0.0748538
Lucerne	0.0742421
"Australian Open"	0.0740864
"Lahore High Court"	0.0729704
"European Cup"	0.0724557
"Israeli Cabinet"	0.07208
"Confederations Cup"	0.0714254
Lahti	0.070272
"Acura Classic"	0.0697843
Madras	0.0697613
"Hopman Cup"	0.0690257
Sapporo	0.0688683
"Pan Pacific"	0.0687382
Bundesliga	0.0685336
"Basketball Championship"	0.0683917
"Buick Classic"	0.0680109
Bremen	0.0678585
"World Basketball Championship"	0.0676385
KPU	0.0676226
"World Youth Games"	0.0676118
"Italian Open"	0.0672488
under-@@	0.067224
"San Sebastian"	0.0671128
"Melbourne Park"	0.0667732
"American League East"	0.0666041
Ipoh	0.0665257
Eindhoven	0.0665156
"F.A Cup"	0.0661802
"musical chair"	0.0660924
"rest day"	0.0659832
Saint-Denis	0.0659753
"Little League World Series"	0.0648683
"Hong Kong Open"	0.0643231
Dubrovnik	0.0634958
"football league"	0.0630742
Sestriere	0.0627505
"South Regional"	0.0626394
"East Asian Games"	0.0624282
Charleroi	0.0623999
Falun	0.0622652
"African Cup"	0.0622181
"La Paz"	0.0617855
NCAAs	0.0616911
"East Regional"	0.0612476
"ski jump"	0.0610653
Suzuka	0.0610447
"Canadian Open"	0.0609275
Plata	0.0608952
"London Metal Exchange"	0.0607463
"West Regional"	0.0604984
Carlsbad	0.0604715
Dusseldorf	0.0603545
"American League Championship Series"	0.0603249
"Gold Cup"	0.0602783
nit	0.0599986
"Eastern Conference"	0.05988
"Swiss Open"	0.0597069
solitaire	0.0596015
"Chase Championships"	0.0595949
"one first"	0.0593245
Nagoya	0.0592893
"Memorial Tournament"	0.0591702
"French Open"	0.0590178
"National League Championship Series"	0.0588585
"Turkish Daily News"	0.058839
"Western Conference"	0.0588294
"skiing race"	0.0587619
Perth	0.0587019
"Seattle Seahawks"	0.0585303
Gelsenkirchen	0.0580478
"World Team Cup"	0.0578068
"Asian Cup"	0.0577794
placings	0.0575814
"Division I-AA"	0.0575266
Langkawi	0.0572794
"European Championships"	0.0570943
"Super Bowl XXXIII"	0.0570326
"World Figure Skating Championships"	0.0570016
"World Table Tennis Championships"	0.0569793
"Jordanian King Abdullah Bin Hussein"	0.0568044
"Atef Obeid"	0.0567941
"Radu Vasile"	0.0566605
epee	0.0564225
"Cincinnati Bengals"	0.0562935
"AFC Central"	0.0561184
"Sydney Olympic Games"	0.0560332
"British government"	0.0560022
Foxboro	0.0559898
Windhoek	0.0559085
Minsk	0.0556973
"Indianapolis Colts"	0.0555502
"ski jumping"	0.0553754
badminton	0.0553278
Berne	0.0553144
Chamonix	0.0551923
Bormio	0.0550187
"Home Run Derby"	0.0548136
regionals	0.0547194
"Singapore dollar"	0.0546752
"Goodwill Games"	0.0546176
Utrecht	0.0544185
"Asian Winter Games"	0.0541323
Atambua	0.0540194
"Tennessee Titans"	0.0540012
"AL East"	0.0539561
brinksmanship	0.0537408
Hiroshima	0.0537013
"ATP Championship"	0.0536626
Ghent	0.0536079
Innsbruck	0.0533011
Glasgow	0.0530867
"Olympic Winter Games"	0.052953
"Bandar Seri Begawan"	0.052847
Brisbane	0.0525495
SENDAI	0.0525288
"AFC West"	0.0523815
pinball	0.0522482
Rotterdam	0.0522074
"World Swimming Championships"	0.0520421
A.L.	0.0519869
Hobart	0.0519347
"first cup"	0.05191
Super-G	0.0518952
"Tehran Times"	0.0518417
"Port Elizabeth"	0.051836
"American Hockey League"	0.0516862
"New York-New Jersey MetroStars"	0.05162
"Philippine Stock Exchange"	0.0515081
))
("Chinese cabbage" (desc 1228.94) (sims
Kale	0.198354
turnip	0.183703
"brussels sprout"	0.161628
radish	0.14956
Collard	0.144394
cabbage	0.137415
parsnip	0.136923
rutabaga	0.133478
chard	0.125409
lettuce	0.121933
celery	0.119313
"winter squash"	0.119287
"black olive"	0.119284
Broccoli	0.115367
"sugar beet"	0.113172
"green onion"	0.108623
"Swiss chard"	0.103392
eggplant	0.101679
"collard greens"	0.100617
zucchini	0.100532
cauliflower	0.100174
spinach	0.0990304
carrot	0.098884
okra	0.0976596
pea	0.0954412
sorghum	0.0923252
leek	0.0912868
"green pepper"	0.0909856
cucumber	0.0908928
Sorrel	0.0902273
"snow pea"	0.0886453
"string bean"	0.0870977
beet	0.0854889
Endive	0.0854512
"water chestnut"	0.0818442
mustard	0.0796826
canola	0.0785694
"grated cheese"	0.0782321
"roast beef"	0.07727
scallion	0.0759901
"citrus fruit"	0.0754856
"hot pepper"	0.0750757
alfalfa	0.07455
gratin	0.0730246
"green bean"	0.0726543
cassava	0.0721798
barley	0.0719368
"meat loaf"	0.0715213
"red onion"	0.0712262
"white bread"	0.0682602
"sweet potato"	0.0670047
watermelon	0.0645893
rapeseed	0.0638206
"black-eyed pea"	0.0631152
"white bean"	0.0619934
"bok choy"	0.0617704
"pecan pie"	0.0612127
meatloaf	0.0602329
melon	0.0594183
"bell pepper"	0.0583974
bran	0.0578553
romaine	0.0574518
lentil	0.0573157
"deep red"	0.0566981
Chickpea	0.0559696
"lima bean"	0.0559404
slaw	0.055281
parsley	0.0540736
hazelnut	0.0535098
frisee	0.0532527
sauerkraut	0.0526384
yam	0.0522702
horseradish	0.0518442
sesame	0.0516889
"hard-boiled egg"	0.0513606
"disability payment"	0.0511905
sunflower	0.0509483
artichoke	0.050352
cilantro	0.0501826
shallot	0.0501069
"corn chip"	0.0500444
sugarcane	0.0499784
cutlet	0.0484958
radicchio	0.0480249
"goat cheese"	0.0466096
polenta	0.0464827
"beef tenderloin"	0.0460655
fennel	0.0459077
dill	0.0448535
"vanilla extract"	0.0446231
pancetta	0.0444345
"rainbow trout"	0.0441995
plantain	0.0433506
"white rice"	0.0433102
verde	0.0431024
tomatillo	0.0425854
"brown rice"	0.0423503
"beef broth"	0.0419987
cantaloupe	0.0418329
pillowcase	0.041402
"soya bean"	0.0411096
cashew	0.0410927
"spider web"	0.0410328
"high wire"	0.0410294
thyme	0.0409506
"pumpkin pie"	0.0407745
soya	0.0405739
Chinese-Indonesians	0.0403896
))
("Chinese Communist Party" (desc 12523.4) (sims
CPC	0.346364
"Communist Party of China"	0.295787
"Communist Party"	0.24563
CPV	0.22164
"CPC Central Committee"	0.195294
"Vietnamese Communist Party"	0.194703
"Chinese Communist Party Central Committee"	0.182098
"China Central Committee"	0.181826
"Party Central Committee"	0.161103
CPPCC	0.154178
"Central Committee"	0.148227
"Chinese Communist Party (CPC) Central Committee"	0.139493
"Chinese government"	0.11343
"Communist Youth League of China"	0.112657
ACFTU	0.10699
"Chinese People's Political Consultative Conference"	0.106509
"Political Consultative Conference"	0.105914
"Baath Party"	0.103261
"Revolutionary Party"	0.0968708
MPLA	0.09629
NPC	0.0955766
FRELIMO	0.0935626
"Socialist Party"	0.0897683
"South African Communist Party"	0.0896269
PLA	0.0895709
"CPC National Congress"	0.0889885
"Palestinian Liberation Organization"	0.0888564
SPS	0.0869522
"African National Congress"	0.0868924
"trade union"	0.0855778
PLO	0.0845296
"Chinese NPC"	0.0844243
CPP	0.0817874
"Palestine Liberation Organization"	0.0817484
"Central Commission for Discipline Inspection"	0.0802809
UNIP	0.0801076
"Cambodian People's Party"	0.0798525
Zanu-pf	0.0787889
ANC	0.0786754
UPU	0.0785379
PCF	0.0774894
"Congress Party"	0.0771945
CDU	0.0764695
OAU	0.0761604
"Zimbabwe African National Union-Patriotic Front"	0.0746277
"CPPCC National Committee"	0.0741474
NLD	0.0738917
IFP	0.073552
CCM	0.07311
"Comrade Deng Xiaoping"	0.0729899
"Jiang Zemin"	0.0729271
"Likud Party"	0.0726568
"State Council"	0.0725577
"Nationalist Party"	0.0720085
"Deng Xiaoping"	0.0708404
"Central Government"	0.0706919
"National Resistance Movement"	0.0706659
"National People's Congress"	0.0700016
MMD	0.069848
"National League for Democracy"	0.0695595
Fatah	0.0694357
UMNO	0.069362
"Political Bureau"	0.0693287
"Russian Communist Party"	0.0688506
"Liberal Party"	0.0686061
CCF	0.0684324
"People's Republic of China"	0.0680967
SDP	0.0679281
SDS	0.0678361
ASEAN	0.0671507
"NPC Standing Committee"	0.067129
"Bharatiya Janata Party"	0.066936
"Pakistan Muslim League"	0.0668967
"Arab League"	0.066737
Kuomintang	0.0666768
"National Party"	0.0662144
UF	0.065883
"Democratic Front"	0.0657427
CAS	0.0654659
Likud	0.0648493
Excellency	0.0644132
PASOK	0.0638624
AmCham	0.0638318
"Democrat Party"	0.0635215
BJP	0.0634509
"United Front"	0.0633304
Deng	0.0629667
Kanu	0.0629646
"Bangladesh Nationalist Party"	0.0628635
UNITA	0.0628529
Lakas-NUCD	0.0627165
"Council of Europe"	0.062249
CPAFFC	0.0620319
"Rwandan Patriotic Front"	0.0619973
"Nepali Congress"	0.0618498
"Labor Party"	0.0618215
"Christian Democratic Union"	0.0613204
CPN-UML	0.0613167
LDP	0.0612678
FUNCINPEC	0.061224
"Awami League"	0.0611994
"Democratic Party"	0.0608717
"King Norodom Sihanouk"	0.0607855
"Macao Government"	0.0605228
NSC	0.0605021
RUF	0.0604549
"Colorado Party"	0.0604499
BNP	0.0602702
"State Peace and Development Council"	0.060092
"National Congress"	0.0599456
PPP	0.05989
"Clinton Administration"	0.0597069
"People's Party"	0.0595463
"armed forces"	0.059443
UUP	0.0593409
NC	0.0592817
Golkar	0.0590776
"New Korea Party"	0.058912
NRM	0.058758
"European Parliament"	0.0585926
"Alain Juppe"	0.0585723
"Beijing Municipal Government"	0.0583882
ARATS	0.0582517
"Wlodzimierz Cimoszewicz"	0.0581766
OIC	0.0581544
"Liberation Army"	0.0581466
"Beijing Municipal Committee"	0.0581025
NDP	0.0577383
ACWF	0.0574422
"National Council of Churches"	0.0572899
"Li Peng"	0.0571845
SDLP	0.0571558
"Russian Duma"	0.0570281
UNESCO	0.057025
SEF	0.0568859
SPLA	0.0566494
"All-China Federation"	0.0565847
"National Democratic Party"	0.0565075
"local government"	0.0564914
"United National Independence Party"	0.0564434
"Palestinian Authority"	0.0562915
"CPC Central Commission for Discipline Inspection"	0.0561351
"Prime Minister Banharn Silpa-Archa"	0.0561317
"municipal government"	0.0560423
"Red Cross Society"	0.0560083
opening-up	0.0560007
UN	0.0559934
GCC	0.055866
PDI	0.0557355
"Inter-Parliamentary Union"	0.0556932
OCA	0.0555549
"National Party Congress"	0.0555438
DPRK	0.0554832
CEC	0.0550173
"Conservative Party"	0.0547562
organisation	0.0546199
"Russian Orthodox Church"	0.0545329
"Social Democratic Party"	0.0544641
"Khmer Rouge"	0.0544272
CCPIT	0.0544266
"Golkar Party"	0.0543593
DAP	0.0543067
SPD	0.054268
USOC	0.0542626
COMESA	0.0542423
Nujoma	0.0541275
"Mesut Yilmaz"	0.0540844
"Center Party"	0.0540636
"Indonesian Armed Forces"	0.0540484
federation	0.0540352
Sandinistas	0.0539903
Renamo	0.0539044
Awami	0.0538857
"European Commission"	0.0538179
NP	0.0537181
"Southern African Development Community"	0.053684
"Liberal Democratic Party"	0.0536712
"Kim Jong Il"	0.0533815
"Qian Qichen"	0.0532011
"Than Shwe"	0.053102
"National Front"	0.0530715
"political party"	0.053012
EU	0.0528879
UNIDO	0.0527937
"Central Military Commission"	0.052792
"Sher Bahadur Deuba"	0.0527915
Ecevit	0.0527898
"Asian Football Confederation"	0.0527377
"Red Army"	0.0527373
"King Sihanouk"	0.0527359
"Hong Kong SAR"	0.0526997
CAF	0.0526616
IGAD	0.0526425
IPU	0.0526064
Nazarbayev	0.0525688
Taliban	0.052499
OAS	0.0524932
"Canadian Alliance"	0.0522575
"Parti Quebecois"	0.0522498
"Congressional Black Caucus"	0.052023
))
("Chinese Communist Party (CPC) Central Committee" (desc 1571.18) (sims
"Chinese Communist Party Central Committee"	0.456144
"China Central Committee"	0.376482
"Communist Party of China"	0.253462
"CPC Central Committee"	0.240071
"Vietnamese Communist Party"	0.178135
"Central Committee"	0.164239
"Political Bureau"	0.151989
"Chinese Communist Party"	0.139493
"Li Tieying"	0.134319
"Wang Zhongyu"	0.131748
"Wang Yeping"	0.129461
"State Councilor"	0.129162
"Wu Bangguo"	0.128423
"Party Central Committee"	0.12123
"Huang Ju"	0.110814
"CPPCC National Committee"	0.109072
CPV	0.105999
"Kim Yong Nam"	0.105422
CPC	0.103813
"CPC Central Commission for Discipline Inspection"	0.103806
"Zhu Lin"	0.102838
"Central Military Commission"	0.10089
"Song Jian"	0.0968646
"Wen Jiabao"	0.0936295
"Zhou Guangzhao"	0.0921208
"Congress Standing Committee"	0.0920087
"Peng Peiyun"	0.0916227
"Jiang Chunyun"	0.0896885
"vice- chairman"	0.0895065
"Communist Youth League of China"	0.088148
"Lu Ping"	0.0877679
"Democratic Front"	0.0877064
"Taiwan Affairs Office"	0.0857342
"Qian Qichen"	0.0804753
"Macao Affairs Office"	0.0800752
"Michael Heseltine"	0.0785536
"Li Lanqing"	0.0764231
"National People's Congress"	0.0746497
"Luo Gan"	0.0745672
"Cheng Siwei"	0.0745356
"Chi Haotian"	0.0742351
"Political Consultative Conference"	0.0716751
"Jia Qinglin"	0.0715371
"Zou Jiahua"	0.0711696
"Secretary- General"	0.0694932
PCF	0.0683082
"Foreign Affairs Office"	0.0682399
"Inter-Parliamentary Union"	0.0679371
"Abdullah Ahmad Badawi"	0.0674624
"Revolutionary Party"	0.0674613
"Defense William Cohen"	0.0673732
"General Logistics Department"	0.066573
"United Front Work Department"	0.0661672
vice-chairmen	0.0659281
"Zimbabwe African National Union-Patriotic Front"	0.0657221
"All-China Youth Federation"	0.0650007
"U.S. Soccer Federation"	0.0647336
"Robert E. Rubin"	0.0647021
"NPC Standing Committee"	0.0641583
"Supachai Panitchpakdi"	0.062342
"Petroleum Exporting Countries"	0.0618755
"General Political Department"	0.0611841
"Zhu Rongji"	0.0611654
chairperson	0.0603902
"Central Commission for Discipline Inspection"	0.0603721
"Chinese People's Political Consultative Conference"	0.0599702
"Frank Joklik"	0.0588663
"National Defense Commission"	0.0586772
"Chen Ziying"	0.0585403
ACWF	0.0584288
"Phan Van Khai"	0.0580667
CMC	0.0578966
"Asian Football Confederation"	0.0574339
MSF	0.0573636
"Liu Huaqing"	0.0570624
"Wang Hanbin"	0.0570179
Politburo	0.0569466
"Chea Sim"	0.0561221
"All-China Federation"	0.0554836
"Palestinian Council"	0.0554184
"Zeng Qinghong"	0.0550318
"Chinese Olympic Committee"	0.0548707
FRELIMO	0.0545582
"Economic Cooperation"	0.0531272
"Khin Nyunt"	0.052641
"National Democratic Party"	0.0524854
"Liberation Movement"	0.0518452
"Muslim Mindanao"	0.051561
"King Sihanouk"	0.0515443
"Wang Guangying"	0.0514962
"Tin Oo"	0.051444
"National Council of Churches"	0.0509326
"Tian Jiyun"	0.0505469
"Andrew Cuomo"	0.0505319
"Joao Havelange"	0.0501345
"Development Research Center"	0.0497597
Venecia	0.049598
"Information Office"	0.0493615
"Cyril Ramaphosa"	0.0492757
"Ismail Amat"	0.0490364
"Wu Yi"	0.04892
"Goran Persson"	0.0484058
"Alexis Herman"	0.0481874
"Secretary General Esmat Abdul-Meguid"	0.0478662
"Free Democrats"	0.0475188
"Cao Zhi"	0.0474165
procurator-general	0.0472232
"National Defense"	0.04695
"Donna Shalala"	0.0467595
"Oskar Lafontaine"	0.046757
"Cesar Gaviria"	0.0465601
"Wang Zhaoguo"	0.0462011
"Wan Guoquan"	0.0461081
"South African Communist Party"	0.0453902
"Henry Cisneros"	0.0453584
co-chairmanship	0.0453102
"Henry Shelton"	0.0452598
"Richard Smith"	0.0447802
"Milos Zeman"	0.0446582
urologist	0.0442614
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ICRC	0.047087
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Baghdad	0.0467366
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ECA	0.0425634
WFP	0.0424738
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depot	0.0419605
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garrison	0.0410651
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ACFTU	0.098437
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consulate	0.0970007
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Wyeth-Ayerst	0.0934947
HKMA	0.0933058
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EC	0.0818731
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stationing	0.0779158
SAA	0.0774129
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DP	0.0772365
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DEP	0.0767266
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"World Wildlife Fund"	0.0750311
"high commissioner"	0.0750114
"American Association of Health Plans"	0.0749114
federation	0.0748861
"State Administration for Industry"	0.0748735
"British Embassy"	0.0747819
"election commission"	0.0747799
"civil defense"	0.0745747
"United Nations Development Program"	0.0745137
"U.S. Fish and Wildlife Service"	0.0744517
))
("Chinese government" (desc 10140.7) (sims
"Central Government"	0.176518
"municipal government"	0.137493
CPC	0.128856
ACFTU	0.11528
"Beijing Municipal Government"	0.115146
"Chinese Communist Party"	0.11343
"State Council"	0.109179
"All-China Journalists Association"	0.107871
"Royal Government"	0.100903
NPC	0.09937
"United States government"	0.0984931
"local government"	0.0964346
ARATS	0.0963973
CPAFFC	0.0956338
PLA	0.095324
ACWF	0.0946401
"People's Republic of China"	0.0945227
OAU	0.0943877
"Clinton Administration"	0.0914099
"Association for Friendship"	0.0911375
"China Council"	0.0902902
"Arab League"	0.0895329
"United Nations Educational, Scientific and Cultural Organization"	0.0894541
"State Education Commission"	0.0893052
EC	0.0889548
"World Bank"	0.0881117
"Ministry of Justice"	0.0871128
UNESCO	0.0858963
"NPC Standing Committee"	0.0841698
"Ministry of Science"	0.0830747
"Chinese Foreign Ministry"	0.0827666
EU	0.0825985
"United Nations Population Fund"	0.0822294
"Central Committee"	0.0821703
"Ministry of Foreign Trade and Economic Cooperation"	0.0821216
"United Nations Children's Fund"	0.0812385
"CPC Central Committee"	0.0811665
"Kenyan Government"	0.0809568
"United Nations Drug Control Program"	0.0806912
CCPIT	0.080577
"Communist Party"	0.0802593
"Party Central Committee"	0.0799829
"Shanghai Municipal Government"	0.0799168
"European Commission"	0.0795311
PNA	0.0790054
"U.S. Administration"	0.0789093
"Canadian International Development Agency"	0.0787359
UNDP	0.0785598
CPPCC	0.0775456
CAS	0.0774774
"Ministry of Culture"	0.077321
UNICEF	0.0772047
"Communist Party of China"	0.0768477
"European Union"	0.0768223
EBRD	0.0758001
"Preparatory Committee"	0.075665
ADB	0.0753603
"Ministry of Supervision"	0.0752721
WFP	0.0747339
CCB	0.0745944
"King Norodom Sihanouk"	0.0741696
HKMA	0.0739636
ministry	0.0739194
"State Development Planning Commission"	0.0739042
"State Development Bank"	0.0737075
"Tang Jiaxuan"	0.0732251
UNHCR	0.073213
MOFTEC	0.0725826
"International Labor Organization"	0.0723318
IMF	0.0720124
UNEP	0.0719426
"Russian Foreign Ministry"	0.0716287
"federal government"	0.0712993
"United States Congress"	0.0711961
ICBC	0.0708969
USAID	0.0703979
"Chinese NPC"	0.0701417
"Contact Group"	0.0700105
CPV	0.0699257
"National People's Congress"	0.0696063
"Asian Development Bank"	0.0695374
"UN agency"	0.0694434
"State Administration of Cultural Heritage"	0.0691831
"Civil Aviation Administration of China"	0.0691297
"Council of Europe"	0.0690502
"Ministry of Public Security"	0.0690251
"Kofi Annan"	0.0688406
UNIDO	0.0687003
"trade union"	0.0686899
U.N.	0.0685001
"Li Peng"	0.0684769
"Security Council"	0.0684621
Eximbank	0.0683126
"Ministry of Education"	0.0682018
"United Nations Development Program"	0.0679618
"Ministry of Health"	0.0679217
PBOC	0.0676907
UN	0.067468
ASEAN	0.0671467
"Global Environment Facility"	0.0671035
"United Nations"	0.0667104
ABRI	0.0666627
"business community"	0.0666446
UNP	0.0666218
"Jiang Zemin"	0.0666011
"Ministry of Information Industry"	0.0663459
"British government"	0.0663106
"Shi Guangsheng"	0.0658154
CAAC	0.0657688
"Ministry of Forestry"	0.065606
"All-China Youth Federation"	0.0655946
IGAD	0.0654184
"Ministry of Agriculture"	0.0651344
"China National Petroleum Corporation"	0.0651177
"U.N. Security Council"	0.0649871
"Ministry of Internal Trade"	0.064976
Secretary-General	0.0648417
ITF	0.0648005
MII	0.0647202
"Bank of China"	0.0646415
"World Health Organization"	0.0645378
FCC	0.0643257
"U.S. State Department"	0.0643103
"Bank of Israel"	0.0642454
Pakistan	0.0639664
"Xinhua News Agency"	0.0639264
Vatican	0.063905
UNFPA	0.0635754
Council	0.0635672
FAO	0.0634194
TNI	0.0633406
ANC	0.0632889
"Ministry of Railways"	0.0632278
SDB	0.0628943
"United Nations Environment Program"	0.0628774
UAE	0.0628643
IDB	0.0628373
"Southern African Development Community"	0.0628302
"Red Cross Society"	0.062811
"CPPCC National Committee"	0.0627487
OSCE	0.0626979
"United Nations Security Council"	0.0625814
ICRC	0.0623933
"State Planning Commission"	0.0623728
"Public Security Ministry"	0.0622808
CPF	0.0622452
Moi	0.0621761
"Constitutional Assembly"	0.0621661
"armed forces"	0.0620846
"State Forestry Administration"	0.0620594
"China National Tourism Administration"	0.0620583
E.U	0.0619842
"Turkish Foreign Ministry"	0.061974
Qian	0.0618698
"Sino-Portuguese Joint Declaration"	0.0617856
DPRK	0.0617663
Tat	0.0617546
"Bank of Thailand"	0.0616871
locality	0.0616411
"Israeli Cabinet"	0.0614651
"Ministry of Foreign Trade"	0.0613409
"Ministry of Finance"	0.061235
ZCTU	0.0610998
"Secretary-General Boutros Boutros-Ghali"	0.0610957
"International Monetary Fund"	0.0610496
"Education Ministry"	0.0609544
"Ministry of Posts"	0.0609445
Annan	0.0607967
"Food and Agriculture Organization"	0.0606921
Juppe	0.0604998
AmCham	0.0604863
"African National Congress"	0.0604453
"international organization"	0.0604397
"Alain Juppe"	0.0602655
"US Congress"	0.0601652
"United Nations Industrial Development Organization"	0.0598395
"Sino-British Joint Declaration"	0.0597739
GCC	0.0597303
SADC	0.0597246
"Commission on Elections"	0.0595549
"Chinese Academy of Sciences"	0.0594373
Taliban	0.0594282
"General Committee"	0.0594254
Vice-Premier	0.059317
compatriot	0.0591264
"central bank"	0.0586374
ECB	0.0586323
IOC	0.058621
"International Federation"	0.0585426
OIC	0.0585424
"Economic Commission for Africa"	0.0585349
"China Youth Development Foundation"	0.0585347
Mongolia	0.0585271
CMAG	0.0583911
"Palestinian National Authority"	0.0582847
CDB	0.0581496
ESCAP	0.0580354
Arafat	0.0579167
"member country"	0.0578975
"Hong Kong Federation"	0.0577687
))
("Chinese Government Reception Committee" (desc 1532.09) (sims
Vice-Minister	0.235264
Zhenyu	0.170432
"local department"	0.116128
"Song Jian"	0.109206
"Long Yongtu"	0.102401
"Council of Economic Advisers"	0.0983017
"Li Zhaoxing"	0.0960548
vice-director	0.093364
"National Defense Commission"	0.0930365
"Congressional Black Caucus"	0.0881245
"Wang Yingfan"	0.0876064
"Shi Guangsheng"	0.0866755
"English department"	0.0866545
"economics department"	0.0837512
"State Councilor"	0.0821308
"State Peace and Development Council"	0.081111
"Foreign Affairs Office"	0.0809527
"State Law and Order Restoration Council"	0.0789523
Fabius	0.0787992
"Meretz Party"	0.0786003
"Federal Deposit Insurance Corp."	0.0779697
"American Journal"	0.0728187
"Supachai Panitchpakdi"	0.0717318
"National Economic Council"	0.071424
"Federal Council"	0.0714234
"Kosovo Verification Mission"	0.0711624
"National Republican Congressional Committee"	0.0700212
"interim committee"	0.0691653
"Pascoal Mocumbi"	0.0689113
vice-governor	0.0683862
"Public Service Commission"	0.0677282
"United Nations Special Commission"	0.0676251
"Political Department"	0.0667063
"U.N. Office"	0.0666964
"Nuclear Regulatory Commission"	0.0663224
"Universal Pictures"	0.0662872
"Nahdlatul Ulama"	0.0656414
Totalfina	0.065081
"Presidential Office"	0.0646676
"Democratic Senatorial Campaign Committee"	0.0642964
"Central Election Commission"	0.0641121
underpinnings	0.0636036
"history department"	0.0633808
"Business Council"	0.0630038
"House Budget Committee"	0.0628019
"Home Affairs"	0.0624177
"Atomic Energy Commission"	0.0621084
"Cendant Corp."	0.061796
"Frederick Sumaye"	0.0616359
"federal department"	0.0615707
"Democratic Congressional Campaign Committee"	0.0613272
"Eisuke Sakakibara"	0.0611602
"Banking Committee"	0.0607791
"Ways and Means Committee"	0.0592976
"Housing Authority"	0.058901
"Amnuay Virawan"	0.058866
"Ismail Amat"	0.0588502
"Electoral Commission"	0.0588113
"Organizing Committee"	0.058476
"Executive Board"	0.0583575
"control board"	0.0579885
"Securities Industry Association"	0.0579079
"House International Relations Committee"	0.0574825
"Cuban American National Foundation"	0.0571703
"China Society"	0.0571645
"Senate Governmental Affairs Committee"	0.0570987
"Prince Abdullah Ibn Abdul-Aziz"	0.056848
"Olympic Committee"	0.0566659
"Appropriations Committee"	0.0565983
UNMOVIC	0.0563163
"Rules Committee"	0.0562584
Councilor	0.0556757
"Wim Kok"	0.0555721
"Independent National Electoral Commission"	0.055452
"Jerzy Buzek"	0.0554043
"Tim Fischer"	0.0549851
"art department"	0.0548732
"postmaster general"	0.0544935
"Senate Banking Committee"	0.0543551
"H.D Deve Gowda"	0.0539394
"Great Hural"	0.0539336
"Civil Aviation Authority"	0.0538369
"New Korea Party"	0.0536864
"National Endowment"	0.0535808
"Hong Kong Federation"	0.0534764
"Nairobi Stock Exchange"	0.0531942
"Organization of Islamic Conference"	0.0529329
"Goran Persson"	0.0525917
"Senate Budget Committee"	0.0525519
"Yuri Maslyukov"	0.0522689
"Indonesian Democratic Party"	0.0522418
"Commerce Committee"	0.0522235
vice-mayor	0.0521429
"Democratic Leadership Council"	0.0520069
"Supreme Soviet"	0.0512098
"Handgun Control Inc."	0.0506058
NRM	0.050571
"General Council"	0.0504614
"Dan Meridor"	0.0504251
"Fayez Tarawneh"	0.0503057
"Independent Electoral Commission"	0.0502553
"Senate Armed Services Committee"	0.0499351
obstetrics	0.0498954
"Arab Parliamentary Union"	0.0498416
"Straits Exchange Foundation"	0.049693
"Boris Fyodorov"	0.0495871
"Abdul Salam Majali"	0.049512
"Cambodian People's Party"	0.0494244
"Lee Hsien Loong"	0.0494244
"Speaker Ali Akbar Nateq-Nouri"	0.0490185
directors-general	0.0489309
"Foreign Affairs Committee"	0.0487755
"Jerusalem Committee"	0.0486912
"Motion Picture Association of America"	0.0485685
"Foreign Affairs"	0.0485506
"Council of Ministers"	0.0485283
"Anatoly Chubais"	0.0484158
"Michael Heseltine"	0.0482985
"Laurent Fabius"	0.0482651
"Wu Yi"	0.0481996
"House Banking Committee"	0.0481901
"Atef Obeid"	0.048103
"Russian Communist Party"	0.0480918
"National Election Committee"	0.0477918
"Virgin Atlantic"	0.0475579
"Export-Import Bank"	0.0475153
"government minister"	0.0474082
"U.S. Export-Import Bank"	0.047246
"Zhu Lin"	0.0471133
IGC	0.0469509
"National Electoral Commission of Nigeria"	0.046661
"Judicial Watch"	0.0465873
"Taiwan Affairs Office"	0.0464745
"Pandeli Majko"	0.0463407
SDP	0.0462605
"All-China Federation"	0.0461551
"UN agency"	0.0459497
NSC	0.0459008
"Nevada Athletic Commission"	0.0454989
Haq	0.0454564
"People's Democratic Party"	0.0454304
"military commission"	0.0453731
"Lipper Inc."	0.0449526
"General Committee"	0.0447753
"Levi Strauss &AMP; Co."	0.0444959
"Executive Committee"	0.0444864
"National Mandate Party"	0.0444351
"Foreign Relations Committee"	0.0441781
YankeeNets	0.0438493
"Central Council"	0.0438397
CNTA	0.0436423
"House Government Reform Committee"	0.0436221
SCLC	0.0434957
"Goldman Sachs &AMP; Co."	0.043349
"Water Resources"	0.0433324
"Cesar Gaviria"	0.0433086
"Publicity Department"	0.0432877
Durant	0.0432164
"Congress (NPC) Standing Committee"	0.0431568
al-Maktoum	0.0431492
"Nabil Shaath"	0.0431264
ICA	0.0429298
"Burlington Northern"	0.0428726
al-Khatib	0.0428626
"Oskar Lafontaine"	0.0428038
"Provisional Urban Council"	0.0427875
"search committee"	0.0427708
"Christian Democratic Party"	0.0423855
"New York-New Jersey MetroStars"	0.0423551
"planning board"	0.0422367
"Revolutionary Party"	0.0421911
"Democratic Left Party"	0.0421342
"National Sports Council"	0.0419956
counsellor	0.0419174
"Inter-Governmental Authority on Development"	0.0418656
Supachai	0.0418206
Presidium	0.041629
"United Liberal Democrats"	0.0415272
counterterrorism	0.0414834
"Senate Foreign Relations Committee"	0.0413696
"Dhaka Stock Exchange"	0.0412822
"Senate Appropriations Committee"	0.0412425
"Prime Minister Kamal El-Ganzouri"	0.04112
"Constitutional Council"	0.0410773
"Russian Space Agency"	0.0410399
Axworthy	0.0409741
"Hong Kong Tourist Association"	0.0408803
"True Path Party"	0.0408566
"Barisan Nasional"	0.0408508
"Equal Employment Opportunity Commission"	0.0407866
"Air Line Pilots Association"	0.0407476
"International Society"	0.0405342
AmCham	0.0405286
"Civic Democratic Party"	0.0404468
Kok	0.0404294
"All-China Journalists Association"	0.0404226
"Free Democratic Party"	0.0404196
al-Hariri	0.0402782
"National Awakening Party"	0.0402704
"vice- president"	0.0402527
))
("Chinese Lunar New Year" (desc 2224.96) (sims
"Lunar New Year"	0.37493
"Chinese New Year"	0.294906
"National Day"	0.205873
"Rosh Hashana"	0.187622
"Spring Festival"	0.178404
Passover	0.175156
"World Environment Day"	0.170307
"May Day"	0.165691
"New Year's Day"	0.158886
"New Year"	0.155859
Eid	0.141584
"Bastille Day"	0.136481
"Earth Day"	0.135781
"third millennium"	0.135218
Easter	0.130807
Kwanzaa	0.126614
"World AIDS Day"	0.124955
"Veterans Day"	0.124311
Hanukkah	0.122903
"Yom Kippur"	0.121825
"Black History Month"	0.12146
"Independence Day"	0.111914
"Wimbledon Tennis Championships"	0.109107
"Holy Year"	0.108498
Ramadan	0.105685
"Fourth of July"	0.102907
millenium	0.0994089
"national holiday"	0.0985159
Juneteenth	0.092485
bicentennial	0.0910124
"International Day"	0.0904648
"St. Patrick's Day"	0.0886452
"Father's Day"	0.0842227
Centenary	0.0823005
"Memorial Day"	0.0811372
solstice	0.0805815
"Labor Day"	0.0783076
jubilee	0.0766165
fasting	0.0757333
Billie	0.0748717
"International Year"	0.0742128
"feast day"	0.073043
"Mother's Day"	0.07238
"July @th"	0.0711892
"wedding anniversary"	0.0697089
"Mardi Gras"	0.0685894
"International AIDS Conference"	0.0630918
Oktoberfest	0.0624539
homecoming	0.0623745
eight-day	0.0610641
"rest day"	0.0604122
armistice	0.059164
honeymoon	0.0579547
"Valentine's Day"	0.0573086
"school year"	0.0571564
pre-Christmas	0.0564657
"family unit"	0.0559351
centennial	0.0557346
"Opium War"	0.0556359
seven-day	0.0548924
five-day	0.0546963
"academic year"	0.0546029
"Good Friday"	0.0541589
"rainy season"	0.0541244
"religious holiday"	0.0536267
ten-year	0.0533784
"dry season"	0.0523595
"Christmas Eve"	0.0523382
countdown	0.0514848
"holiday season"	0.0514548
rededication	0.05145
Halloween	0.0507643
monthlong	0.0501899
mushers	0.0500087
"full moon"	0.049922
"U.S. Olympic"	0.0497539
recuperation	0.0494944
"holy day"	0.0490096
swearing-in	0.0490005
"World Weightlifting Championships"	0.0487473
weeklong	0.0485872
renaming	0.0480203
electioneering	0.0479336
reopening	0.0475902
Sabbath	0.0468955
Zulu	0.0463369
Sinhala	0.0461506
beatification	0.0461075
"Congress Working Committee"	0.0456145
"Bob Fosse"	0.0453427
"hunting season"	0.0451393
nine-day	0.0449623
coronation	0.0447519
January-June	0.04459
"New Millennium"	0.0445612
yuletide	0.0444123
"International Conference"	0.0440887
"Yankee Clipper"	0.0438001
"wedding ceremony"	0.0437985
Lent	0.0433968
"Nagano Winter Olympics"	0.043146
Briscoe	0.0430843
hibernation	0.0426564
mitzvah	0.0423124
Geoffrey	0.0420718
"boat race"	0.0420095
six-week	0.0418871
workweek	0.0409174
headcount	0.0408682
"religious ceremony"	0.040655
"Jewish Sabbath"	0.0405943
phase-out	0.0405513
"warm front"	0.0404167
"British Grand Prix"	0.0402899
Hajj	0.0402552
four-week	0.0402023
semester	0.0401921
"World Figure Skating Championships"	0.0400072
))
("Chinese New Year" (desc 2367.27) (sims
"Lunar New Year"	0.373151
"Chinese Lunar New Year"	0.294906
"May Day"	0.260513
"World Environment Day"	0.209513
"National Day"	0.190217
"Spring Festival"	0.18827
"Rosh Hashana"	0.173477
Eid	0.168299
"Veterans Day"	0.156065
"Earth Day"	0.153854
"Bastille Day"	0.152827
"New Year"	0.147513
"Independence Day"	0.146399
Easter	0.146164
"World AIDS Day"	0.142761
Kwanzaa	0.139757
"Fourth of July"	0.137792
"St. Patrick's Day"	0.137278
Passover	0.134886
"New Year's Day"	0.132069
Juneteenth	0.119942
"national holiday"	0.117176
"third millennium"	0.116866
Hanukkah	0.11542
"Memorial Day"	0.113378
"Labor Day"	0.112592
bicentennial	0.102881
"Holy Year"	0.102624
"International Day"	0.100347
"Black History Month"	0.0998823
Thanksgiving	0.0977678
Billie	0.096517
Centenary	0.0958198
"New Year's eve"	0.0931511
"Father's Day"	0.0929759
"Mardi Gras"	0.0929174
millenium	0.0914104
"Good Friday"	0.0897972
"religious holiday"	0.0891484
"International Year"	0.0875645
homecoming	0.0868688
Ramadan	0.0849075
centennial	0.084097
"Mother's Day"	0.0826262
jubilee	0.0812526
"Christmas Eve"	0.0779951
"July @th"	0.077506
solstice	0.0763113
inauguration	0.0762732
electioneering	0.0759726
"Yom Kippur"	0.0759599
"feast day"	0.0732976
fasting	0.0732871
rededication	0.0719266
Oktoberfest	0.070449
"wedding anniversary"	0.0670811
Shabbat	0.0650912
convocation	0.062749
coronation	0.0625483
"warm front"	0.0625165
Zulu	0.061869
Sabbath	0.0615762
eight-day	0.0599593
"Easter Sunday"	0.0596126
"Valentine's Day"	0.0592284
Halloween	0.0575403
"holiday season"	0.056822
weeklong	0.056701
"family unit"	0.0555892
monthlong	0.055532
enshrinement	0.0552251
ten-year	0.0546423
pre-Christmas	0.0544972
"academic year"	0.0539898
armistice	0.0538454
"Thanksgiving Day"	0.0531237
"New Millennium"	0.0525584
"full moon"	0.052531
mushers	0.0524447
renaming	0.0520582
noontime	0.0520144
Seder	0.052
"cold snap"	0.051843
"year end"	0.0509471
"Special Economic Zones"	0.0508737
reopening	0.0506879
"Orthodox Christian"	0.0505967
"International AIDS Conference"	0.0504717
three-hour	0.0502985
"black tie"	0.0500724
"dry season"	0.0493371
"Nagano Winter Olympics"	0.049037
"working day"	0.0487929
"boat race"	0.0487575
yuletide	0.0486
re-opening	0.0484391
fiesta	0.0478369
"rest day"	0.0477917
"nuclear family"	0.0474102
dawning	0.0471949
"rainy season"	0.0469697
"basketball season"	0.0464378
nuptials	0.0462154
"holy day"	0.0460801
"Grand National"	0.0459052
potluck	0.0458989
"hunting ground"	0.0457266
three-week	0.0450693
"Martin Luther King"	0.0449999
four-week	0.0447197
"Grammy Awards"	0.0446886
expiration	0.0446703
commencement	0.0445524
"Julius Francis"	0.0442107
convening	0.0440403
seven-day	0.0439336
changeover	0.0435702
SIESTA	0.0433317
coming-out	0.0432566
"Asian Winter Games"	0.0431018
six-week	0.0430759
"World Weightlifting Championships"	0.0423564
yearend	0.0422167
"Saint Laurent"	0.0421693
"Volleyball Championship"	0.0421645
ILOVEYOU	0.0421568
epiphany	0.0419972
"test-tube baby"	0.0419804
"cold spell"	0.0418255
"wedding ceremony"	0.0418202
multiculturalism	0.0418048
"sphere of influence"	0.0417117
swearing-in	0.0417023
deportee	0.0416765
"cold weather"	0.0416519
"Bob Fosse"	0.0416047
"Seibu Lions"	0.0415574
quarter-century	0.0414685
Eco-tourism	0.0413354
"council meeting"	0.0413035
"morse code"	0.0412316
beatification	0.0412
mitzvah	0.0411416
masculinity	0.0410489
nine-day	0.0410282
klezmer	0.0407889
Anand	0.0406771
hibernation	0.0405531
"nearly two weeks"	0.0404753
"ten years"	0.0402761
two-hour	0.0402344
"Old South"	0.040067
))
("Chinese NPC" (desc 980.47) (sims
NPC	0.194741
CPPCC	0.16646
"Russian Duma"	0.164908
ACFTU	0.160098
CPC	0.13717
IPU	0.132765
SPDC	0.127247
CIRC	0.125625
Histadrut	0.119374
CCPIT	0.117273
AmCham	0.116677
CMC	0.111139
NRM	0.111009
SFC	0.110798
CUF	0.109548
CPF	0.101912
ARATS	0.101619
SDP	0.101278
"Georgia Republican"	0.0972559
DAP	0.0970839
CCF	0.0967938
"US Senate"	0.095178
TDC	0.0935818
CMAG	0.0928905
"Israeli Arab"	0.0917355
UUP	0.0908716
CNTA	0.0905824
MMD	0.088623
"Russian State Duma"	0.0881652
NDP	0.0876591
CCM	0.0863601
Sandinista	0.085029
SDLP	0.0845965
"Chinese Communist Party"	0.0844243
CPV	0.0840941
IGAD	0.0836335
PLA	0.0835344
Pd	0.0831711
NLD	0.0829851
"Philippine Senate"	0.0827021
INEC	0.079998
"CPPCC National Committee"	0.0797435
"Royal Bank"	0.0795652
"Kosovar Albanian"	0.078054
"NPC Standing Committee"	0.0777604
"Palestinian National Council"	0.0770152
CSC	0.0762889
Kanu	0.0759957
CSA	0.0746286
CSRC	0.0735326
SEF	0.0733423
PLO	0.0726641
"NZ First"	0.0722942
ZANU	0.072198
"House Budget Committee"	0.0720702
ROK	0.0707569
KDP	0.070706
KPA	0.0702786
"Chinese government"	0.0701417
Bulog	0.0695151
"Republican House"	0.0694733
UNIP	0.0692965
JMC	0.0685112
NKP	0.0684288
"Christian Democrat"	0.0683091
NRP	0.0677705
"Great Hural"	0.067713
"Chinese Olympic"	0.0675956
NiSource	0.066611
"Senate Appropriations Committee"	0.0666083
"New York Republican"	0.0661656
Abkhazian	0.0659854
UNIDO	0.0658214
"Caribbean Community"	0.0655574
Tat	0.065194
ICA	0.0649308
"Jatiya Party"	0.0648236
ACB	0.0646994
RCD	0.0646543
eco	0.0644294
CCC	0.0640883
FRELIMO	0.0637667
"Malaysia Airlines"	0.0634583
FORD-Kenya	0.0631752
"Ways and Means Committee"	0.0631659
PBSI	0.0630756
"National Action"	0.0629739
Nazarbayev	0.0628301
CPAFFC	0.0624121
"Social Democrat"	0.0623909
"National Defense Commission"	0.0623498
UTC	0.062215
Ito	0.0620177
ADL	0.0617803
CDU	0.061415
"Red Violin"	0.061291
"Meretz Party"	0.0611304
MDC	0.0609563
"Senate Budget Committee"	0.060685
OPM	0.0606143
Laban	0.0604893
"Banking Committee"	0.0601052
"Ulster Unionist"	0.0600177
SPS	0.0599776
PUK	0.0599507
Niger	0.0596103
"California Republican"	0.0595499
KONI	0.0594345
Azerbaijani	0.0593939
DPP	0.0593086
"Rules Committee"	0.058784
Arens	0.0586154
Bundestag	0.0584937
UDM	0.0584749
"New Zealand First"	0.058436
IEC	0.0583752
"National People's Congress"	0.0580204
Gesher	0.0578534
Dodik	0.0576216
Forty-four	0.0569426
"Nahdlatul Ulama"	0.0569257
"House GOP"	0.0566345
CSE	0.0566237
"House International Relations Committee"	0.0566186
"Red Crescent"	0.0565282
CPSC	0.0563633
"Barisan Nasional"	0.0562215
PDI-P	0.0560759
SDS	0.0559866
MSAR	0.055912
Rong	0.0556107
Arab-American	0.0555784
ATC	0.0552237
PML-N	0.0548967
"Democratic Left Party"	0.0546621
"Rio Group"	0.0545793
Surinam	0.0542894
PB	0.0541632
VEBA	0.0538011
WEF	0.0537608
"Russian Communist Party"	0.0537092
"Players Association"	0.0535399
"Tibetan Buddhist"	0.0534679
MPLA	0.0531714
Rawabdeh	0.0530618
"Palestine National Council"	0.0529061
"United States Congress"	0.0527752
TDB	0.0522526
UFW	0.0521471
ANAP	0.0519755
PATA	0.0519428
Asda	0.0519392
Belarussian	0.0517559
"Foreign Relations"	0.0516173
KNU	0.0516146
"U.S. Congress"	0.0515809
PCC	0.0515177
NU	0.0514609
"U.S. Senate"	0.0514147
PML	0.0511017
"England Club"	0.0511011
BN	0.0508971
PDP	0.0507448
Sakigake	0.0506487
"Truth Commission"	0.050253
USEC	0.0498771
"Senate Governmental Affairs Committee"	0.0498163
Meretz	0.0496592
PSC	0.0496421
Lipponen	0.0496343
"Australian Cricket Board"	0.0495992
Wada	0.0492151
"Bosnian Muslim"	0.0491197
CAAC	0.0490962
ASEM	0.0490793
"Chart Pattana"	0.0490733
NDF	0.0489984
"Foreign Relations Committee"	0.0489284
"Black Panther"	0.0488607
Koreas	0.0488098
DLC	0.0487996
"General Council"	0.0487173
PNG	0.0486796
Estonian	0.0484251
Seychelles	0.0482484
ARF	0.0482268
LIFFE	0.048203
"Association for Relations Across"	0.0481468
Niyazov	0.0481354
CSU	0.0481211
F.A	0.0479583
DP	0.0479065
"British Museum"	0.0478865
Ansett	0.0478708
Abdel-Meguid	0.0478625
UNDCP	0.0477037
"Senate Republican"	0.04763
Totalfina	0.0476218
PDI	0.0476156
CHP	0.0473998
))
("Chinese Olympic" (desc 1017.99) (sims
"U.S. Olympic"	0.216034
"Atlanta Olympic"	0.17694
"World Championship"	0.165979
"Pan Pacific"	0.145856
"Pan Ams"	0.131913
"double gold"	0.116053
"Sydney Olympic"	0.112426
"Special Olympics"	0.094808
pentathlon	0.0921121
"Fed Cup"	0.0893271
"table tennis"	0.0849007
Asiad	0.0844907
A.L.	0.0832198
under-@@	0.0821891
"Phenix City"	0.0806316
"Commonwealth Games"	0.0794576
pre-Olympic	0.0781342
Lithuanian	0.0765282
Slovakian	0.0761317
CAA	0.0747789
"the US"	0.0735267
"Busch Grand National"	0.0732259
"Pan American Games"	0.0730152
CMAG	0.0729161
interagency	0.0727691
varsity	0.0725004
fact-finding	0.0707343
Seven-time	0.0693036
"South American"	0.0691793
"Pan Am"	0.0690561
"Funny Car"	0.0688483
"Chinese NPC"	0.0675956
"Top Fuel"	0.0674666
"SEA Games"	0.0660984
"water polo"	0.0653889
first-day	0.0651952
"Kosovar Albanian"	0.0647709
dressage	0.0647171
triathlon	0.0644265
Finnish	0.0639469
ENTREMED	0.0634964
"Fighting Irish"	0.0632809
TVM	0.0630919
"Red Crescent"	0.0630713
"International League"	0.0629453
six-time	0.0626214
"U. N."	0.0621362
top-class	0.0614951
"Pan Am Games"	0.0611007
decathlon	0.0606886
"East German"	0.0605418
"Delta Force"	0.0605266
ACFTU	0.059991
two-time	0.059846
"Southeast Asian Games"	0.059773
"Federation Cup"	0.059569
disbarment	0.0593022
pep	0.0585515
Universiade	0.0579633
"Euro @@@@"	0.0574791
top-@@	0.0574222
NCI	0.0573897
three-time	0.0572996
"Top @"	0.0568701
"African Nations Cup"	0.0568427
Azeri	0.0567878
AFL	0.0567504
"field hockey"	0.0566981
"AFC Central"	0.0563569
"shot put"	0.0562992
Ecuadorean	0.056178
"Big Sky Conference"	0.0557175
Ivorian	0.0555587
"Russian Duma"	0.0553641
"United States Open"	0.0553636
cruiserweight	0.0551927
Camerounian	0.0551919
Festina	0.0551434
CONCACAF	0.0550685
judo	0.0550527
Cliburn	0.054966
"NASCAR Winston Cup"	0.0547297
ABA	0.0544127
Azerbaijani	0.0544021
Davidian	0.0542502
"Italian League"	0.0539891
CAAC	0.0539688
"civil defense"	0.053679
snooker	0.0535284
eight-time	0.0534462
rowing	0.0533567
KDP	0.0533491
"figure skating"	0.0533166
"Solheim Cup"	0.052579
"U.S. Congress"	0.052319
ISU	0.0522136
Belarussian	0.0520457
FEMA	0.0517689
weightlifting	0.0515093
"junior welterweight"	0.0515014
"high jump"	0.0514663
Latvian	0.051372
"World Vision"	0.051041
"Atlantic Coast Conference"	0.0510348
CCE	0.0509205
nine-time	0.0507817
"State Police"	0.0506616
"NFC East"	0.0506474
epee	0.0506246
"Number @"	0.050615
"other seven"	0.0504254
"long-distance runner"	0.0500597
"Mastercard Colonial"	0.0500594
"ice hockey"	0.0500403
counterterrorism	0.0497327
AmCham	0.0495112
Forty-four	0.0494471
four-time	0.0494338
taekwondo	0.0491051
DEP	0.0490658
UUP	0.0489309
"Kosovo Albanian"	0.0488341
NRC	0.0487953
UNDCP	0.048764
"AL Central"	0.0487229
"damage control"	0.0485415
Caltrans	0.0485399
"British Foreign Office"	0.048472
Belarusian	0.0483757
SEF	0.0483427
Forsythe	0.0483168
"light heavyweight"	0.0482473
"NL Central"	0.0482085
Springbok	0.0481621
badminton	0.0480447
Pacific-@@	0.0480376
CWA	0.0480011
"NFC Central"	0.0479994
NHRA	0.0479826
"Gary Hall"	0.0478191
"Young America"	0.0478023
"Arena Football League"	0.0475331
"AFC West"	0.0473623
"Indy Racing League"	0.0473397
"Jackson State"	0.0473354
Maruyama	0.0473076
"junior lightweight"	0.0470666
"Davis Cup World Group"	0.0469732
"U.S. Amateur"	0.0469616
"NL East"	0.0469265
non-American	0.0469167
NiSource	0.0468802
"European Championship"	0.0468349
five-time	0.0465625
"U.S. Immigration and Naturalization Service"	0.0465112
"other eight"	0.0464489
"U.S. Postal Service"	0.046264
Grambling	0.0462373
CPV	0.0462302
"junior middleweight"	0.0461981
javelin	0.0461813
"Bosnian Muslim"	0.0461129
luge	0.0460978
"Carter Center"	0.0460914
Tajik	0.0460203
"European Cup"	0.0456039
USAID	0.0455708
Catalan	0.0454898
"Scotland Yard"	0.0453589
"Big West"	0.0452895
"Caribbean Community"	0.0452811
"USA Basketball"	0.0452702
mountaineering	0.0448434
XFL	0.0448352
"American Basketball League"	0.0448229
Lucasfilm	0.0446275
"Central Division"	0.0445149
MMD	0.0444901
"Indiana State"	0.0444113
Pillars	0.0444047
"Busch Series"	0.0443802
Johor	0.0440991
"Home Run Derby"	0.0440474
ATA	0.0438633
CWS	0.0437884
Ecuadoran	0.043785
FOP	0.0437575
ninety	0.0437449
KEDO	0.0436189
"International Red Cross"	0.0436166
"United States Congress"	0.0435447
"Department of Corrections"	0.0435392
four-week	0.0433869
"other nine"	0.0433231
DFB	0.0432374
"Saudi Arabian"	0.0430889
USEC	0.0430459
EEOC	0.0430305
"U.S. Coast Guard"	0.0429539
Oceania	0.0426438
))
("Chinese Olympic Committee" (desc 1272.8) (sims
"Association for Relations Across"	0.226509
"Olympic Council of Asia"	0.191816
"French Foreign Ministry"	0.187216
"U.S. Soccer Federation"	0.185445
"All-China Journalists Association"	0.181967
CPAFFC	0.18192
"Australian Olympic Committee"	0.178199
"China Society"	0.176038
"Organizing Committee"	0.171984
"China Youth Development Foundation"	0.170906
"China Securities Regulatory Commission"	0.158312
"All-China Youth Federation"	0.155095
"Association for Friendship"	0.152975
"Inter-Parliamentary Union"	0.150237
ACFTU	0.148414
"Xinhua News Agency Hong Kong Branch"	0.142118
"World Jewish Congress"	0.142107
"Liberation Movement"	0.142055
"Association of Flight Attendants"	0.141658
ARATS	0.140237
"Asian Football Confederation"	0.139775
"China Council"	0.13511
"United Malays National Organization"	0.133347
"CBS Sports"	0.129295
CCPIT	0.12885
"China National Tourism Administration"	0.128314
"Ministry of Trade"	0.126724
"Atlanta Committee"	0.126246
"International Skating Union"	0.126119
"Olympic Committee"	0.12565
"China Association for Science"	0.125585
"All-China Federation"	0.125034
CNOOC	0.124648
"World Tourism Organization"	0.123544
Laban	0.122611
"International Amateur Athletic Federation"	0.122389
"Indonesian Armed Forces"	0.12117
"International Society"	0.121046
"International Maritime Organization"	0.120667
"Executive Committee"	0.120417
"Pakistan Muslim League"	0.120258
"Allied Pilots Association"	0.118735
OCA	0.117743
BOI	0.117049
"Cambodian People's Party"	0.116045
CCF	0.115915
CWA	0.115354
"South Pacific Forum"	0.115318
CITIC	0.115182
SPC	0.113342
"Organization of Islamic Conference"	0.113013
"State Law and Order Restoration Council"	0.112617
"Board of Supervisors"	0.112355
"National Council of Churches"	0.112236
"International Cycling Union"	0.111916
"Revolutionary Party"	0.111321
"U.S. Olympic Committee"	0.110972
"Organisation of African Unity"	0.110708
"International Association of Machinists"	0.109557
"Democratic Front"	0.108952
"Thai Farmers Bank"	0.108651
"International Badminton Federation"	0.108446
"Israeli Foreign Ministry"	0.108358
"Chinese Foreign Ministry"	0.107761
"EU Commission"	0.10664
"National Council"	0.106354
"Ford Motor Company"	0.105339
"Red Cross Society"	0.105158
"Board of Investment"	0.104937
"Ministry of Industry"	0.104931
USOC	0.104454
"Shanghai Municipal Government"	0.104353
"National Council of La Raza"	0.104318
"NPC Standing Committee"	0.103757
"CPPCC National Committee"	0.103416
CFA	0.103142
"International Federation"	0.103031
"Philippine Senate"	0.102979
"PLO Executive Committee"	0.102424
"American Association of Health Plans"	0.102302
UCI	0.102013
"International Brotherhood"	0.101957
"Wine Institute"	0.101564
"Federal Council"	0.101263
"State Peace and Development Council"	0.101178
"Foreign Affairs Committee"	0.101049
Bundestag	0.10032
Qinghua	0.100271
CIRC	0.100175
"Straits Exchange Foundation"	0.1
"International Amateur Athletics Federation"	0.0998074
"Socialist Party"	0.0997683
CSRC	0.0996323
"Council of State"	0.0996229
"International Olympic Committee"	0.0989736
"International Tennis Federation"	0.0987687
"Beijing Municipal Government"	0.0985073
CASS	0.0980119
ACWF	0.097245
"Palestinian Council"	0.0971725
"United Nations Educational, Scientific and Cultural Organization"	0.0968154
FIBA	0.0959057
"Ministry of Culture"	0.0951929
"Ministry of Posts"	0.0951699
"Ministry of Foreign Trade and Economic Cooperation"	0.0949701
"Turkish Foreign Ministry"	0.0948921
"Ministry of Forestry"	0.0947683
CNPC	0.0947524
"European Council"	0.0946683
"Central Military Commission"	0.0943651
"Ministry of Science"	0.0943567
"Civil Aviation"	0.0942511
"Liberal Democratic Party"	0.0942456
"Civil Aviation Authority"	0.0941773
"Communications Workers of America"	0.0940111
Lucasfilm	0.0938689
"National Federation"	0.0937921
"Chinese Academy of Engineering"	0.0937433
"State Planning Commission"	0.093641
"National Association of Manufacturers"	0.0936354
"National Trust"	0.0933883
"Kenya African National Union"	0.0926268
FIFA	0.0922462
"Ministry of Defense"	0.0920897
"Congolese Rally"	0.0920043
FIVB	0.091441
"Senate Appropriations Committee"	0.091277
"Monetary Policy Committee"	0.0910195
Eximbank	0.0908059
SOCOG	0.0907915
FIA	0.0904381
"United Nations Conference on Trade and Development"	0.0901626
"Democratic Alliance"	0.0900138
"National Organization"	0.089918
"Universal Postal Union"	0.0897531
"Guardian Council"	0.0897102
"World Meteorological Organization"	0.089405
"Turner Sports"	0.0891141
"Pakalitha Mosisili"	0.0885293
"Local @@"	0.0883784
"Local @@@"	0.087995
"National Committee"	0.0875506
"Great Hural"	0.087307
Lakas-NUCD	0.0872427
"CPC Central Commission for Discipline Inspection"	0.0870822
"U.S. Chamber of Commerce"	0.0869883
"State Administration of Foreign Exchange"	0.0865934
"Ninth National Committee"	0.0864687
"Ministry of Education"	0.0864543
CMC	0.0864538
"Federal Reserve Bank of New York"	0.0863097
WEF	0.0860854
"Russian Space Agency"	0.0856155
"Benevolent Association"	0.0855664
"Organization for Economic Cooperation and Development"	0.0855504
DLC	0.0855167
BOC	0.0854732
AmCham	0.0851302
"House Budget Committee"	0.0850225
"Russian Defense Ministry"	0.0848455
"Beijing Municipal Committee"	0.0848313
"Tareq Aziz"	0.0846222
CAS	0.084479
MSF	0.0841355
SLOC	0.0838452
"Screen Actors Guild"	0.083809
"Board of Elections"	0.0835108
"World Intellectual Property Organization"	0.0834183
ZCTU	0.0833495
"National Election Committee"	0.0827262
"Ministry of Planning"	0.0825679
"Ministry of Internal Trade"	0.0824695
"Organization of American States"	0.082397
"Council of Europe"	0.0823697
"Revolutionary Command Council"	0.0823135
"Common Market for Eastern and Southern Africa"	0.0821166
"National Urban League"	0.0819961
"Home Ministry"	0.0819522
"Federal Assembly"	0.0818574
"Council of Ministers"	0.0815619
CAA	0.0814971
"Hearst Corporation"	0.0814532
"Chinese Society"	0.0812973
"Salt Lake Organizing Committee"	0.0812175
"Medical Society"	0.0812094
"Civil Aviation Administration of China"	0.0811827
"Arab League"	0.0811775
UMNO	0.0811134
"China Federation"	0.0809909
"Motion Picture Association of America"	0.0809619
NEA	0.0809501
"Electoral Commission"	0.0809055
"National Tourism Administration"	0.0808249
IAAF	0.0804724
NHTSA	0.0804336
"Provisional Ruling Council"	0.0804174
"NBC News"	0.0803522
"Hong Kong Federation"	0.0802611
"standing committee"	0.0801779
"Central Committee"	0.0798296
))
("Chinese People" (desc 3710.14) (sims
"Chinese People's Political Consultative Conference"	0.149062
"Political Consultative Conference"	0.131934
"National People"	0.126474
"National Committee"	0.111777
"People's Liberation Army"	0.109265
"Congress (NPC) Standing Committee"	0.104385
"China Association for Science"	0.103974
"All-China Youth Federation"	0.102808
"Ninth National Committee"	0.10077
CPPCC	0.0987366
"Central Military Commission"	0.0856169
"Foreign Affairs Committee"	0.085223
"Supreme Soviet"	0.0843339
"Hong Kong Federation"	0.0792681
"Liberation Army"	0.078923
"Congress Standing Committee"	0.0776436
"China Federation"	0.0763356
"military commission"	0.0754084
"CPPCC National Committee"	0.0739826
"International Society"	0.0734751
"State Peace and Development Council"	0.0726009
"Council of State"	0.0722729
"All-China Federation"	0.0720764
CMC	0.0686921
"China Society"	0.0685045
"Russian Duma"	0.068064
PLA	0.067982
"Ninth CPPCC National Committee"	0.0679403
"Association for Relations Across"	0.0670613
"Cambodian People's Party"	0.0667133
"Eighth National Committee"	0.0664082
"Organizing Committee"	0.0653614
"Chinese Olympic Committee"	0.0648079
"Ninth National People"	0.0636677
"State Law and Order Restoration Council"	0.061582
"National Defense Commission"	0.0609971
"NPC Standing Committee"	0.0587477
ACFTU	0.0572375
CIRC	0.057056
"Housing Authority"	0.0570314
"Revolutionary Command Council"	0.0563964
"standing committee"	0.0555547
CPAFFC	0.0553397
"National People's Congress"	0.0553047
"Cendant Corp."	0.0542899
"China National Tourism Administration"	0.0529749
"China Council"	0.0527416
CITIC	0.0508227
"China Securities Regulatory Commission"	0.0508151
"Ford Motor Company"	0.0507594
"Provisional Ruling Council"	0.0504922
"House Budget Committee"	0.0504164
"Great Hural"	0.0500916
"Securities Industry Association"	0.048951
"Central Commission for Discipline Inspection"	0.0487256
"World Meteorological Organization"	0.0486344
"Banking Committee"	0.0486243
"Russian Communist Party"	0.0485409
"Indonesian Armed Forces"	0.0476522
"Red Cross Society"	0.0476429
"Federal Council"	0.0476103
"Olympic Council of Asia"	0.047427
"Islamic Revolution Guards Corps"	0.0473002
"Chinese Communist Party"	0.0470946
Yukos	0.0470802
"All-China Journalists Association"	0.0460736
"New Korea Party"	0.0454328
"Association for Friendship"	0.0450478
"Senate Appropriations Committee"	0.0446232
CSRC	0.0441357
AmCham	0.043657
CCPIT	0.0436262
"Air Line Pilots Association"	0.0436129
"Nevada Athletic Commission"	0.0435639
"Russian State Duma"	0.0435038
"Federal Assembly"	0.0434799
"Board of Supervisors"	0.0432312
"Chinese Academy of Engineering"	0.0430213
"Beijing Municipal Committee"	0.0425389
ICA	0.0421427
"Preparatory Committee"	0.0418642
"Commonwealth Ministerial Action Group"	0.041595
"Legend Group"	0.0411899
"Times Co."	0.041114
NRM	0.0405612
"Fu Quanyou"	0.0404612
"National League for Democracy"	0.0404479
"Electronic Frontier Foundation"	0.0404138
"United States Congress"	0.0403155
Bundestag	0.0400982
"Chinese Society"	0.0400112
))
("Chinese People's Political Consultative Conference" (desc 7281.97) (sims
"Political Consultative Conference"	0.450903
"CPPCC National Committee"	0.36416
"National Committee"	0.309946
CPPCC	0.269041
"Ninth National Committee"	0.210817
"National People's Congress"	0.199442
"Congress Standing Committee"	0.178664
"Congress (NPC) Standing Committee"	0.169428
"NPC Standing Committee"	0.163817
"Communist Party of China"	0.16337
"Eighth National Committee"	0.152963
"Chinese People"	0.149062
"All-China Youth Federation"	0.142352
"standing committee"	0.141672
"Central Military Commission"	0.136443
"Central Committee"	0.129868
"CPC Central Committee"	0.127927
"Hong Kong Federation"	0.126412
"Beijing Municipal Committee"	0.12281
"Political Bureau"	0.122264
CMC	0.118829
"All-China Federation"	0.118748
"State Peace and Development Council"	0.114814
"Eighth NPC"	0.112859
"Ninth CPPCC National Committee"	0.112613
"Organization Department"	0.110663
"Preparatory Committee"	0.107352
"Chinese Communist Party"	0.106509
"Wan Guoquan"	0.103672
"Wang Hanbin"	0.103058
"United Front Work Department"	0.101256
NPC	0.101172
"State Council"	0.0993582
"Chinese Communist Party Central Committee"	0.0974828
"China Federation"	0.0974754
"China Central Committee"	0.0974495
"Li Ruihuan"	0.0968085
"Liu Huaqing"	0.0963619
"Wu Jieping"	0.0962687
"military commission"	0.0959496
"Tian Jiyun"	0.0951486
"Dai Bingguo"	0.0933966
"Zhou Guangzhao"	0.091248
"Congress Working Committee"	0.0910936
"Lu Ping"	0.0901769
"Wang Zhaoguo"	0.0899012
"Propaganda Department"	0.0884489
"Shanghai Composite Index"	0.0881588
"Wang Guangying"	0.0877635
"Provisional Ruling Council"	0.0860174
"Ninth NPC"	0.0857476
"Cheng Siwei"	0.0850203
Presidium	0.0848555
"Foreign Affairs Committee"	0.0836382
"Song Jian"	0.0830141
"China Securities Regulatory Commission"	0.0828758
"Russian Duma"	0.0825384
"South Pacific Forum"	0.0818388
"China Association for Science"	0.0810803
"World Conference"	0.0809186
"Communist Youth League of China"	0.0808347
vice-chairman	0.080785
"Red Cross Society"	0.0802596
"Council of State"	0.0799774
"People's Liberation Army"	0.0799594
el-Ganzouri	0.079865
"First Session"	0.0783955
"Communist Party"	0.0783202
"Inter-Parliamentary Union"	0.078186
"Revolutionary Command Council"	0.0779716
CPC	0.077931
"Publicity Department"	0.0767839
"Zhang Wannian"	0.0762021
"vice- chairman"	0.075647
"Supreme Soviet"	0.0753069
"Qian Weichang"	0.0750223
"Chinese Academy of Engineering"	0.0750214
"Russian State Duma"	0.0750015
"vice chairman"	0.0748487
Buhe	0.0747593
"Chi Haotian"	0.0735377
"Chen Muhua"	0.0732673
"President Hafez Al-Assad"	0.0727326
"Qian Qichen"	0.0726527
"Jordanian King Abdullah Bin Hussein"	0.0725808
Councillor	0.0724155
"Central Commission for Discipline Inspection"	0.0722932
"China National Tourism Administration"	0.0721054
"Trade Fair"	0.0720506
"Joint Liaison Group"	0.0719578
"Macao Affairs Office"	0.0719362
"Chinese Academy of Sciences"	0.0719298
"Maung Aye"	0.0719035
"Li Peng"	0.0715042
"Qiao Shi"	0.0713659
vice-chairmen	0.0710769
"Peng Peiyun"	0.070593
"Ninth National People"	0.0705602
Vice-Premier	0.0701933
"Lei Jieqiong"	0.0698012
"Zhu Rongji"	0.0697156
"Plenary Session"	0.0693769
"Jiang Chunyun"	0.0690265
"CPC Central Commission for Discipline Inspection"	0.0688984
"Phan Van Khai"	0.0684943
"Wen Jiabao"	0.06678
"China Council"	0.0667746
"Yu Yongbo"	0.0661615
CAS	0.0655235
"Zeng Qinghong"	0.0654965
"Cao Zhi"	0.0652873
"Provisional Urban Council"	0.0647698
"Huang Ju"	0.0647476
"Li Lanqing"	0.0646784
Fuling	0.0645125
ACFTU	0.0641436
"National Congress"	0.0640924
"Palestinian Central Council"	0.0635889
"State Law and Order Restoration Council"	0.0633873
"Party Central Committee"	0.0631995
"International Department"	0.0631414
"Cambodian King Norodom Sihanouk"	0.0630251
"Palestinian Council"	0.0630188
"Ministry of Personnel"	0.0625402
"State Economic and Trade Commission"	0.0622076
Zeng	0.06218
"Hu Jintao"	0.0615248
"Ding Guangen"	0.0607596
"Prime Minister Banharn Silpa-Archa"	0.0604915
"Costas Simitis"	0.0604676
"Economic Cooperation"	0.0604013
"Chinese Communist Party (CPC) Central Committee"	0.0599702
"Luo Gan"	0.0596953
"Southern African Development Community"	0.0591055
"Li Tieying"	0.058947
vice-chairperson	0.0586192
"Jiang Zemin"	0.0584529
"Zou Jiahua"	0.0580659
"China Society"	0.0578449
MPR	0.0578128
"Chen Ziying"	0.0575382
"North Atlantic Council"	0.0574262
"Charles Schwab &AMP; Co."	0.0572411
"National Council"	0.0570381
"State Science and Technology Commission"	0.0570198
"Tibet Autonomous Region"	0.0568604
"Federal Council"	0.0561845
"Palestinian National Council"	0.0560226
"Wei Jianxing"	0.0559755
"Great Hural"	0.055535
"Cambodian People's Party"	0.0551168
"China Youth Development Foundation"	0.0550772
"Russian Communist Party"	0.0549165
"National People"	0.0547657
"Defense William Cohen"	0.0545863
"State Education Commission"	0.0545463
vice-chairwoman	0.0545261
"Constitutional Council"	0.054519
"European Council"	0.0544651
"Congressional Black Caucus"	0.0544323
"Third Plenum"	0.0539868
plenum	0.0537991
"King Norodom Sihanouk"	0.0536911
"Council of Europe"	0.0535184
"Hong Kong Special Administrative Region"	0.05349
"President Kim Young-sam"	0.053098
"Association of Southeast Asian Nations"	0.0530538
CIRC	0.0529617
"Pascoal Mocumbi"	0.0527758
"Ricardo Alarcon"	0.0527506
Qiao	0.0525214
"Qian Zhengying"	0.052356
"Ministerial Meeting"	0.0523414
personage	0.0523011
"Chavalit Yongchaiyudh"	0.0522638
"Chinese Academy of Social Sciences"	0.0521474
"Organization of African Unity"	0.0520989
Politburo	0.0520896
"National League for Democracy"	0.0518596
"Board of Governors"	0.0517101
"Kim Yong Nam"	0.0516792
"Association for Friendship"	0.0516598
IGC	0.0516528
"Third Plenary Session"	0.0514478
"People's Republic of China"	0.051201
"King Abdullah II"	0.0510743
"Russian Security Council"	0.0509283
"Chinese Olympic Committee"	0.0509096
"International Society"	0.0509055
"Xinhua News Agency Hong Kong Branch"	0.0508904
"Vietnamese Communist Party"	0.0508211
"National Security Adviser Sandy Berger"	0.0508018
vice-president	0.0507467
"Koo Chen-fu"	0.050732
"Asia Society"	0.0507181
"International Amateur Athletic Federation"	0.0506287
"State Administration of Cultural Heritage"	0.0505431
"Organization of Islamic Conference"	0.0504291
"Azizah Ismail"	0.0503944
"All-China Journalists Association"	0.0502491
))
("Chinese Revolution" (desc 2223.73) (sims
"Museum of Chinese History"	0.104976
"Palace Museum"	0.0930401
Marxism	0.0825103
decolonization	0.0646994
"Summer Palace"	0.0576734
industrialization	0.0568637
"Fourth World Conference"	0.0549863
habitation	0.054197
"natural history"	0.0537122
"State Bureau of Cultural Relics"	0.0534647
"Macao International Airport"	0.0534343
"Capital Airport"	0.0529057
miniaturization	0.0528992
"arms control"	0.0518699
held	0.0518526
FN	0.0514084
"University of China"	0.050363
"John F. Kennedy Library"	0.0501145
"Potala Palace"	0.0491934
"Lu Xun"	0.0483874
"economic theory"	0.0483264
crematorium	0.0483039
"fine arts"	0.0481514
"industrial revolution"	0.0481215
"Mao Zedong Thought"	0.0479604
socialism	0.0473562
humankind	0.0468274
"Long March"	0.0466856
Zhongguancun	0.0449543
"Homo sapiens"	0.0444623
"Left Bank"	0.0438897
"Universal Postal Union"	0.0438573
"Diaoyutai State Guesthouse"	0.0435035
"International Congress"	0.0433705
"Chinese Communist Party"	0.0430709
"thousand years"	0.0422195
agronomy	0.0422067
urbanization	0.0422002
UPI	0.0419209
Lipponen	0.0416335
"automobile industry"	0.0412049
"Smithsonian Institution"	0.0412023
"National Party Congress"	0.0411797
"Red Army"	0.0410183
"September @-@"	0.0409581
"Inter-Parliamentary Union"	0.040648
Impressionism	0.0404884
Golmud	0.0402198
))
("Chinese Society" (desc 1544.71) (sims
"China Society"	0.291711
"International Society"	0.153206
"Inter-Parliamentary Union"	0.135404
"China Federation"	0.12995
"China Association for Science"	0.120838
"China Council"	0.117894
"All-China Journalists Association"	0.114506
"China National Tourism Administration"	0.110744
"All-China Youth Federation"	0.107682
"Asia Society"	0.104649
"National Tourism Administration"	0.103701
"China Youth Development Foundation"	0.102792
"State Administration of Cultural Heritage"	0.102254
"Development Research Center"	0.0986961
"Association for Relations Across"	0.0970024
"Hong Kong Federation"	0.0949982
"Association for Friendship"	0.0922858
"Ford Foundation"	0.0910208
"State Bureau of Environmental Protection"	0.0899988
"All-China Federation"	0.0884954
"State Forestry Administration"	0.0873999
"American Association"	0.086664
"Democratic Leadership Council"	0.0864172
"Publicity Department"	0.0839094
"Xinhua News Agency Hong Kong Branch"	0.0838536
"Shanghai Branch"	0.0826982
"assistant professor"	0.0824438
"Party School"	0.081863
"League of Women Voters"	0.0813542
"Chinese Olympic Committee"	0.0812973
"Olympic Council of Asia"	0.0807719
"National Association"	0.0794196
"National Abortion and Reproductive Rights Action League"	0.0782923
"World Intellectual Property Organization"	0.0782771
"National Alliance"	0.0782127
"Organization Department"	0.0766098
"International Federation"	0.0756241
"Global Environment Facility"	0.0754026
"Information Office"	0.0747056
"Economic and Social Council"	0.073967
"United Nations Industrial Development Organization"	0.073859
"Red Cross Society"	0.0733381
"Chinese Academy of Engineering"	0.0731007
"Shanghai Municipal Government"	0.0723651
"Hong Kong Tourist Association"	0.0722179
"World Jewish Congress"	0.0720523
"Mastercard International"	0.0713635
"associate professor"	0.0712819
"American Heart Association"	0.0710495
"National Committee"	0.0707727
"Organizing Committee"	0.0705933
"American Association of Retired Persons"	0.0704387
"Taiwan Affairs Office"	0.0697841
"Kaiser Family Foundation"	0.0695485
"United Nations Educational"	0.0694004
"U.N. Environment Program"	0.0688061
"Federal Reserve Bank of New York"	0.0687696
"Center for Strategic"	0.0679862
"United Front Work Department"	0.0673714
"Department of Environment"	0.0672709
"U.S. Information Agency"	0.0670855
"Ministry of Science"	0.0664867
"Beijing Municipal Government"	0.0663619
HKTA	0.0658095
"Propaganda Department"	0.0656095
FIVB	0.0655956
"United Nations Educational, Scientific and Cultural Organization"	0.0654452
"State Administration of Internal Trade"	0.0652757
"Freedom Forum"	0.063591
"National Society"	0.0632881
"National Council of La Raza"	0.063179
"Inter-American Development Bank"	0.0630786
"Information Center"	0.062832
"Chinese Academy of Social Sciences"	0.0626972
"Ministry of Internal Trade"	0.0626267
"International Rescue Committee"	0.0625753
"African Development Bank"	0.0615245
"Gaullist Rally"	0.0615156
"Second Session"	0.0611171
"Jerusalem Committee"	0.0610351
"Board of Investment"	0.0609739
"National Council"	0.0606422
"Southeastern Legal Foundation"	0.0602277
"American Petroleum Institute"	0.0596456
"World Economic Forum"	0.0593248
"Hong Kong Monetary Authority"	0.0591557
"United Nations Development Program"	0.0591307
CAS	0.0590545
"China National Petroleum Corporation"	0.0587403
"Australian Olympic Committee"	0.058523
"Executive Committee"	0.0585206
"United Malays National Organization"	0.058285
"National Federation"	0.0581096
"Ministry of Posts"	0.0579422
"United Nations Conference on Trade and Development"	0.0578477
"Provisional Urban Council"	0.0577757
"Foreign Affairs Office"	0.0576049
"Presidential Office"	0.0575616
"American Bar Association"	0.05747
CIRC	0.057223
"Central Commission for Discipline Inspection"	0.0569602
"Hong Kong Trade Development Council"	0.0566081
"Council on Foreign Relations"	0.0565711
ENTREMED	0.0564342
WEF	0.0564046
"Political Department"	0.0562717
"American Journal"	0.0562138
"International Amateur Athletics Federation"	0.0558238
"College Board"	0.0558231
"Eighth National Committee"	0.0557895
MSF	0.055635
"Republican Leadership Council"	0.055616
"Council of State"	0.0555006
ESCAP	0.0552699
"Chinese Academy of Sciences"	0.0550898
"National Geographic Society"	0.0548766
"Canadian International Development Agency"	0.0545385
"American Association of Health Plans"	0.054532
"China Securities Regulatory Commission"	0.0544941
"State Administration of Taxation"	0.0543591
"Charles Schwab &AMP; Co."	0.0541882
"European Council"	0.0540925
"CPPCC National Committee"	0.0539981
"Asian Development Bank"	0.0536751
"Ministry of Education"	0.0535176
"Des Moines Register"	0.0534473
"Royal Society"	0.0534211
"federal office"	0.0532296
"National Organization"	0.0531475
SCLC	0.0528658
"Russian Space Agency"	0.0526972
"Ministry of Culture"	0.0526497
"Congress (NPC) Standing Committee"	0.0523226
"U.S. Soccer Federation"	0.05209
"Securities Industry Association"	0.0519634
"American Psychological Association"	0.0519535
"Operation Lifeline Sudan"	0.0518851
"Economic Commission for Africa"	0.0518505
"National Trust"	0.0517991
"NFL Players Association"	0.0517888
"U.S. Chamber of Commerce"	0.0517718
"United Nations Environment Program"	0.0517105
WIPO	0.0516105
"Commission on Presidential Debates"	0.0515313
"Ministry of Planning"	0.0511664
"Ministry of Personnel"	0.051136
"International Fund"	0.0509387
"Civil Aviation Administration of China"	0.0509197
"State Environmental Protection Administration"	0.0508979
"Carolyn McCarthy"	0.0508317
"International Amateur Athletic Federation"	0.0504036
"Labor office"	0.0500239
"Revolutionary Command Council"	0.0500114
"military commission"	0.049912
"Fudan University"	0.0499016
"Arab Parliamentary Union"	0.0497704
CCF	0.0497619
"Chinese People's Political Consultative Conference"	0.0497486
"Legend Group"	0.0495247
"Third Session"	0.0495141
"United Nations Children's Fund"	0.0494295
"Ministry of Information Industry"	0.0493117
"Qinghua University"	0.0492192
CPAFFC	0.0491131
OCA	0.0489815
"Families USA"	0.0488421
AARP	0.0487825
"State Development Bank"	0.0486443
"National Urban League"	0.0485515
ARATS	0.0485507
"American Federation"	0.0484902
"Xinhua News Agency"	0.0484551
"International Committee"	0.0483904
"planning commission"	0.0482882
"World Bank Group"	0.0482048
"International Labor Organization"	0.0480953
"EMC Corp."	0.0478317
"National Library"	0.0477969
"Bank for International Settlements"	0.0475465
"International Atomic Energy Agency"	0.0474279
"European Bank for Reconstruction"	0.0474042
"Sydney Organizing Committee"	0.0470313
"South Pacific Forum"	0.0469628
"National Commission"	0.0467962
"National Democratic Party"	0.0467789
"Ministry of Communications"	0.0466716
"Academy of Motion Picture Arts"	0.0465162
NEA	0.0464223
Renamo	0.0463149
NIH	0.0462459
"Ministry of Land"	0.0461015
"Parliamentary Assembly"	0.0460369
ILO	0.0459425
"Federal Council"	0.0458622
"Supreme Soviet"	0.0458041
"popular front"	0.0457062
"Carnegie Endowment"	0.045614
"State Statistics Bureau"	0.0455685
"American Medical Association"	0.0455218
"World Meteorological Organization"	0.0455088
))
("Chinese State Council" (desc 1408.79) (sims
"State Council"	0.197799
"Chinese Communist Party Central Committee"	0.102368
"Israeli Cabinet"	0.0881267
"Ministry of Justice"	0.0857102
"NPC Standing Committee"	0.0836845
"China Securities Regulatory Commission"	0.0817812
CIRC	0.0806309
"State Education Commission"	0.0790557
"Ministry of Culture"	0.0789457
"Beijing Municipal Government"	0.0780279
"Philippine Senate"	0.0778758
"Great Hural"	0.0766447
"Provisional Ruling Council"	0.0764953
"Health and Welfare Ministry"	0.0760525
"Russian Duma"	0.0760437
"Shanghai Municipal Government"	0.0750576
"Financial Supervisory Agency"	0.0747585
"CPC Central Committee"	0.0731822
"PLO Executive Committee"	0.0727277
"Supreme Soviet"	0.0726659
"Executive Committee"	0.07235
"US State Department"	0.0713246
"Federal Council"	0.0711765
"Defense William Cohen"	0.0704697
"Nuclear Regulatory Commission"	0.0703854
"municipal government"	0.0693615
"Zhou Nan"	0.069191
"Olympic Council of Asia"	0.0685566
"Pakalitha Mosisili"	0.0679763
"Ministry of Education"	0.0678495
"All-China Federation"	0.0677914
"Secretary-General Boutros Boutros-Ghali"	0.0675491
CFTC	0.067252
"Ministry of Internal Trade"	0.0664156
"Ministry of Public Security"	0.0661508
"Chief Executive Tung Chee-hwa"	0.0658322
FOMC	0.0656472
"Ministry of Construction"	0.0653472
"Monetary Policy Committee"	0.0647031
PCC	0.0632693
"North Atlantic Council"	0.0630446
"Public Security Ministry"	0.0630378
"CPPCC National Committee"	0.0627189
"Philippine Central Bank"	0.0623414
"Ministry of Railways"	0.0621591
"Israeli Knesset"	0.0621167
"Sino-British Joint Liaison Group"	0.0618938
"standing committee"	0.061686
"Central Commission for Discipline Inspection"	0.0616267
SPC	0.0612722
"Ministry of Interior"	0.0606441
"Chinese Olympic Committee"	0.0603867
SDB	0.060249
"Congress Standing Committee"	0.0601649
"World Intellectual Property Organization"	0.0601614
"Secretary General Boutros Boutros-Ghali"	0.0600176
"Congress (NPC) Standing Committee"	0.0597115
"Los Angeles City Council"	0.059495
"Revolutionary Command Council"	0.0591121
"Macao Government"	0.0588553
"Russian Parliament"	0.0586215
"State Planning Commission"	0.0578886
"postmaster general"	0.0578075
"Palestinian Central Council"	0.0577684
CDB	0.0577063
"Preparatory Committee"	0.0576891
"Amnuay Virawan"	0.0575659
"State Forestry Administration"	0.0573609
"International Amateur Athletics Federation"	0.0571786
"National Gambling Impact Study Commission"	0.0569214
"Ministry of Tourism"	0.0567721
"Ministry of Posts"	0.0567161
GC	0.0565236
"Elyakim Rubinstein"	0.0561103
"General Political Department"	0.055546
"General Council"	0.0553702
CSRC	0.0553041
"Joint Liaison Group"	0.0552792
"Russian State Duma"	0.054812
"CPC Central Commission for Discipline Inspection"	0.0542965
"Ethics Commission"	0.0542899
"Tang Jiaxuan"	0.0541764
NSC	0.054127
"National Association of Securities Dealers"	0.0540813
"EU Commission"	0.0533287
"China National Tourism Administration"	0.0531146
"Palestinian Council"	0.0530574
"China Society"	0.052948
"U.S. Golf Association"	0.0528758
"Federation Council"	0.0528389
SDLP	0.0527185
SDPC	0.0527137
"Civil Aviation Administration of China"	0.0521693
BOI	0.0520632
"Council of Ministers"	0.0519569
MOFTEC	0.0518798
"Information Office"	0.05185
"Xinhua News Agency Hong Kong Branch"	0.0517905
"executive council"	0.0515506
"Texas Supreme Court"	0.0514804
"Department of State"	0.0514536
minister-elect	0.0507876
"Chinese government"	0.0507448
"Economic Commission for Africa"	0.0507391
"National Executive Committee"	0.0506991
"United States Congress"	0.0505904
"Mike Leavitt"	0.0504768
"Begum Khaleda Zia"	0.0504413
"Lawton Chiles"	0.0503816
Procuratorate	0.0503075
"Guardian Council"	0.0501877
"China Central Committee"	0.0501022
"King Bhumibol Adulyadej"	0.0499554
"governing board"	0.0495252
"Federal Assembly"	0.0492977
"Transport Ministry"	0.0492022
"Kenyan Government"	0.0491612
CPAFFC	0.0491369
"Ministry of Civil Affairs"	0.0490788
"Vo Van Kiet"	0.0490126
"Organizing Committee"	0.0489089
"State Bank of Pakistan"	0.0486627
"Palestinian National Council"	0.0483777
"Chinese People's Political Consultative Conference"	0.0482077
"Political Consultative Conference"	0.0481503
"State Science and Technology Commission"	0.048123
"British Foreign Office"	0.0477302
"legislative assembly"	0.0476349
"Ministry of Land"	0.0476115
"Badminton Association of Indonesia"	0.0475674
SETC	0.0469392
NCEC	0.0467195
Eximbank	0.0465934
"Revolutionary Party"	0.0464037
CNTA	0.0463141
"World Tourism Organization"	0.0461903
Dehaene	0.0459847
"Congress Working Committee"	0.0458843
"Phan Van Khai"	0.0458536
"patent office"	0.0458232
CAS	0.0458232
"interim committee"	0.0456803
DEP	0.0456764
"National Security Council"	0.0456181
"Central Committee"	0.0454906
"Prime Minister Kamal El-Ganzouri"	0.0454606
"Ministry of Forestry"	0.0454326
"International Badminton Federation"	0.0454032
"Olympic Committee"	0.0453386
"Radu Vasile"	0.0451826
"Education Ministry"	0.0451801
"Board of Supervisors"	0.045158
"Islamic Development Bank"	0.0450434
"Palestinian Legislative Council"	0.0449962
PBOC	0.0448288
HKMA	0.044776
"Central Election Commission"	0.044715
Teresi	0.0447008
"Party Central Committee"	0.0446238
"Fatos Nano"	0.044432
"Constitutional Assembly"	0.0444168
"King Birendra"	0.0443862
"Bangladesh Bank"	0.0442501
HHS	0.0442299
"State Law and Order Restoration Council"	0.0442244
"legislative council"	0.0441925
"Khin Nyunt"	0.0440647
"Economic and Social Council"	0.0440438
"Lower Saxony"	0.0440356
CCPIT	0.043892
"Industry Ministry"	0.0438677
"State Development Planning Commission"	0.0436314
"UN agency"	0.0434239
Sino-British	0.0434015
ACFTU	0.0433448
Gesher	0.0432863
"Justice Ministry"	0.0431905
"House Appropriations Committee"	0.0431482
"Labor Ministry"	0.0431387
"State Economic and Trade Commission"	0.0430411
"State Peace and Development Council"	0.0429087
EOHR	0.0428879
"State Bureau of Environmental Protection"	0.0427402
"Executive Board"	0.0427361
"American Academy of Pediatrics"	0.0427254
"Ministry of International Trade and Industry"	0.0425942
Histadrut	0.0424818
"Human Rights Commission"	0.042424
"All-China Journalists Association"	0.0423613
"British Parliament"	0.0423042
"China National Petroleum Corporation"	0.0422518
"British government"	0.0420498
"U.S. Treasury Department"	0.04189
"Vietnamese Communist Party"	0.0418695
"Fayez Tarawneh"	0.0417749
"Health and Human Services Department"	0.0417014
"Senate Banking Committee"	0.0417009
"State Administration of Foreign Exchange"	0.0416527
"African Development Bank"	0.0416331
MII	0.0415183
))
("Chinese Taipei" (desc 18432.6) (sims
"DPR Korea"	0.186582
"South Korea"	0.163559
Uzbekistan	0.156934
Kazakhstan	0.152472
Denmark	0.140464
Norway	0.136932
"Tamarine Tanasugarn"	0.133154
Finland	0.131449
Lithuania	0.129102
Sweden	0.128377
"Czech Republic"	0.127777
Slovakia	0.125498
"Chanda Rubin"	0.121875
"American Chanda Rubin"	0.121869
"Gong Zhichao"	0.121789
"New Zealand"	0.121551
"Magdalena Maleeva"	0.11766
Kirghizstan	0.116571
Australia	0.115907
"Amy Frazier"	0.115752
"Papua New Guinea"	0.115002
Kazakstan	0.114678
"Ai Sugiyama"	0.114591
"Sandrine Testud"	0.11427
Netherlands	0.113952
"Wayne Ferreira"	0.113859
"Peter Gade Christensen"	0.112923
"Nathalie Dechy"	0.112881
"Marcelo Rios"	0.111903
"Amanda Coetzer"	0.110808
Spain	0.10954
Croatia	0.109442
"Dai Yun"	0.109072
"Nicole Pratt"	0.108893
Malaysia	0.10886
"Heryanto Arbi"	0.108619
"Kenneth Carlsen"	0.108605
"Conchita Martinez"	0.108243
"Lisa Raymond"	0.108125
"Dominique Van Roost"	0.108035
"Rainer Schuttler"	0.107938
Belarus	0.107438
Hungary	0.107156
Singapore	0.10705
"Hernan Gumy"	0.106867
"Ruxandra Dragomir"	0.106818
Bulgaria	0.10656
"Joannette Kruger"	0.106549
"Jason Stoltenberg"	0.106096
"Wang Chen"	0.105654
Thailand	0.105644
"Leander Paes"	0.105431
Qatar	0.104915
"Yayuk Basuki"	0.104792
"Iva Majoli"	0.104739
Jamaica	0.103906
"Francisco Clavet"	0.103874
"Anke Huber"	0.103802
"Alberto Berasategui"	0.103752
"Republic of Korea"	0.103364
Maldives	0.10318
Italy	0.102874
"Mariano Puerta"	0.10221
"Naoko Sawamatsu"	0.102182
"Patty Schnyder"	0.101981
"Albert Costa"	0.101704
"Slovak Republic"	0.101702
"Andrei Medvedev"	0.101675
"Yevgeny Kafelnikov"	0.101521
Tonga	0.101389
"Brett Steven"	0.101376
"Richard Fromberg"	0.101302
"Jan-Ove Waldner"	0.101022
"Mary Pierce"	0.100755
"Marcos Ondruska"	0.100556
Romania	0.100551
"Joko Suprianto"	0.100437
"Arantxa Sanchez Vicario"	0.100242
"Ong Ewe Hock"	0.10024
"Magnus Gustafsson"	0.100238
Argentina	0.100143
"Dong Jiong"	0.0999816
"Scott Draper"	0.0999344
"Tommy Haas"	0.0998974
Japan	0.0997259
"Albert Portas"	0.0996966
"Felix Mantilla"	0.099345
"Thomas Enqvist"	0.098847
"Cedric Pioline"	0.0986178
"Marc Rosset"	0.0983585
"Elena Likhovtseva"	0.0980985
"Ye Zhaoying"	0.0980838
Uruguay	0.0980203
"Natasha Zvereva"	0.0979809
"Gustavo Kuerten"	0.0979464
"Lindsay Davenport"	0.0979295
Hendrawan	0.0979275
"Xia Xuanze"	0.0978122
"Irina Spirlea"	0.0977898
"Tatiana Panova"	0.0976429
Switzerland	0.0975024
"Rashid Sidek"	0.0971843
"Fernando Meligeni"	0.0970809
"Miriam Oremans"	0.0970335
Brunei	0.0969804
"Budi Santoso"	0.096925
"Sergi Bruguera"	0.0968738
"Michael Chang"	0.0968129
"Silvia Farina"	0.0966539
"Davide Sanguinetti"	0.0965828
Scotland	0.0965394
"Arantxa Sanchez-Vicario"	0.0965334
Brazil	0.0964544
"Peter Rasmussen"	0.0964521
"United Arab Emirates"	0.0963824
"Monica Seles"	0.0962234
"Thomas Muster"	0.0961928
"Christian Ruud"	0.0961896
"Australian Mark Philippoussis"	0.0958796
Poland	0.0957755
"Jonas Bjorkman"	0.0957286
"Li Ju"	0.0956809
"Paola Suarez"	0.0954778
"Barbara Schett"	0.0953572
"Jana Novotna"	0.0950684
"Richard Krajicek"	0.0950248
"Sebastien Grosjean"	0.094906
Belgium	0.0949036
"Sabine Appelmans"	0.0948779
"Kong Linghui"	0.0944832
Kafelnikov	0.0943104
Mongolia	0.0939499
Samoa	0.0937705
"Thomas Johansson"	0.0936035
"Russian Yevgeny Kafelnikov"	0.0932528
"Venus Williams"	0.0932314
"Karol Kucera"	0.0932024
Iceland	0.093182
"Barbara Paulus"	0.0931025
Canada	0.0923904
"Mark Knowles"	0.0922674
"Nathalie Tauziat"	0.0922396
Corretja	0.0921917
"Jorgen Persson"	0.0921008
"Carlos Moya"	0.091862
"Galo Blanco"	0.0918548
Portugal	0.0915132
Austria	0.0913962
Tunisia	0.0913615
"Byron Black"	0.0911568
"Sargis Sargsian"	0.0911497
"Todd Martin"	0.0909066
Philippines	0.0907381
"Javier Sanchez"	0.0906245
"The Netherlands"	0.0905702
Ulihrach	0.0905637
Estonia	0.090435
Cuba	0.0904331
Ukraine	0.0904253
"Magnus Norman"	0.0902083
"Guangdong Hongyuan"	0.0901222
Panathinaikos	0.0900513
"Greg Rusedski"	0.0895777
"Patrick Rafter"	0.0895661
"Mia Audina"	0.0894688
"Gong Ruina"	0.0893534
"Trinidad and Tobago"	0.0892012
"Wayne Black"	0.0891776
Latvia	0.0890542
"Sjeng Schalken"	0.088868
England	0.0888318
Slovenia	0.0888251
"Martina Hingis"	0.0886875
Paraguay	0.0882154
"Boris Becker"	0.0881691
Germany	0.0881547
"Mark Woodforde"	0.0881236
"Liu Guoliang"	0.0881045
"Western Samoa"	0.0881
"Andrea Gaudenzi"	0.0879918
"Zhang Ning"	0.0879345
"Karim Alami"	0.0878631
"Catalina Cristea"	0.0878527
Siemerink	0.0878066
"Dalian Wanda"	0.0877798
"Sri Lanka"	0.0877628
"Jean-Philippe Gatien"	0.0877289
"David Prinosil"	0.0877154
"Alberto Costa"	0.087658
"Todd Woodbridge"	0.0875073
"Yang Ying"	0.0874067
Waldner	0.0873189
"Alex Corretja"	0.0872913
"Vincent Spadea"	0.0872575
"Filip Dewulf"	0.0871059
Indonesia	0.0870905
Morocco	0.087015
"Mikael Tillstrom"	0.0869438
"Sarah Pitkowski"	0.0867345
"Nicolas Escude"	0.0867289
))
("Chinese University of Hong Kong" (desc 1577.06) (sims
"University of Hong Kong"	0.177109
"Fudan University"	0.15968
"Nanjing University"	0.158898
"Beijing University"	0.157481
"University of Zimbabwe"	0.145829
"University of China"	0.138742
"Qinghua University"	0.136569
"Makerere University"	0.131029
"Nankai University"	0.127801
"Vanderbilt University"	0.123444
"University of Toronto"	0.119748
"University of North Carolina"	0.115473
"University of Maryland"	0.113771
"Rutgers University"	0.11088
"City University of New York"	0.102893
"American University"	0.0975321
"Kansas State University"	0.0948018
"University of California"	0.0938877
"Auburn University"	0.0929208
"University of Massachusetts"	0.0927348
"University of South Carolina"	0.0904532
"Northeastern University"	0.0898666
"University of Utah"	0.0887195
"University of Illinois"	0.0882024
"University of Wisconsin"	0.0879068
"California State University"	0.0872687
"Howard University"	0.0871679
"Baylor University"	0.0859022
"University of Kansas"	0.0850108
"Stanford University"	0.0842284
"Zhongshan University"	0.0824708
"Hebrew University"	0.0820048
"University of Mississippi"	0.0812832
"Chinese Academy of Social Sciences"	0.0812786
"University of Missouri"	0.079867
"University of Minnesota"	0.0794128
"Yale Law School"	0.079303
"State University of New York"	0.0787857
"University of Southern California"	0.0780736
"University of Rochester"	0.0773543
"Harvard Medical School"	0.0766502
"Emory University"	0.0759127
"Oxford University"	0.0745902
"National Autonomous University of Mexico"	0.0741655
"George Washington University"	0.0734067
"Arizona State University"	0.0733598
"Colorado State University"	0.0733309
"Chinese Academy of Engineering"	0.0728985
"Tufts University"	0.0724764
"University of Washington"	0.0721247
"Northwestern University"	0.0720244
"Massachusetts Institute of Technology"	0.0719217
"University of Iowa"	0.0713644
"New York University"	0.0709393
"city university"	0.0708192
"Fordham University"	0.0707014
"Columbia University"	0.0704148
"Yale university"	0.0701555
"University of Pittsburgh"	0.0696357
"University of New Hampshire"	0.0676889
"University of New Mexico"	0.0674118
"Cambridge University"	0.0673979
"Washington University"	0.0672389
"Syracuse University"	0.0669885
"University of Alabama"	0.0669269
"University of Texas"	0.0664527
"Brown University"	0.065645
"school of medicine"	0.0655399
"University of Georgia"	0.0652356
"Smith College"	0.0651033
"Brandeis University"	0.0646038
"Princeton University"	0.0640354
"University of Chicago"	0.0636235
Sorbonne	0.0633257
"Peking University"	0.0631631
"Dartmouth College"	0.0627901
"Boston University"	0.0626675
"Ohio State University"	0.0620714
"SAR Government"	0.0618324
"National Autonomous University"	0.0614377
"Purdue University"	0.0613874
"Michigan State University"	0.0610731
"George Mason University"	0.0608935
"Temple University"	0.0608667
"University of Colorado"	0.060259
"Bell Laboratories"	0.0600984
"Johns Hopkins University"	0.0599859
"Harvard Business School"	0.0599264
"Duke University"	0.0591308
"Pennsylvania State University"	0.0588608
"College of Charleston"	0.058672
"North Carolina State University"	0.057948
"University of Virginia"	0.0569961
"University of Nevada"	0.0562792
"Rockefeller University"	0.0560327
"University of Florida"	0.0555431
"University of Arkansas"	0.0549647
"Carnegie Mellon University"	0.0544467
"Texas Tech University"	0.0538046
"University of Oklahoma"	0.0535504
"Williams College"	0.0534301
"Trinity College"	0.0530359
"Museum of Chinese History"	0.0529115
"Catholic University"	0.0525787
"Cleveland Clinic"	0.0520766
"Brigham Young University"	0.0517258
"London School of Economics"	0.0517028
"biological science"	0.0503267
"University of Cincinnati"	0.0502193
"Florida International University"	0.050102
"McGill University"	0.0497545
"Kennedy School"	0.0492671
"school of law"	0.049005
"Wesleyan University"	0.0489079
"University of Hawaii"	0.0486857
"School of Public Health"	0.047928
"University of Connecticut"	0.0478391
"San Francisco State University"	0.0475727
"Rice University"	0.0475147
"Baylor College of Medicine"	0.0471674
"Ministry of Science"	0.0470156
"University of Miami"	0.0467341
"Tehran University"	0.0467063
"Harvard School of Public Health"	0.0461085
CAS	0.045524
"University of Houston"	0.0452038
"John F. Kennedy School of Government"	0.0448945
"University of Arizona"	0.0447107
"Cornell University"	0.0446236
"Iowa State University"	0.0445276
"American Enterprise Institute"	0.0439066
"Wharton School"	0.0430631
"University of Tennessee"	0.0422189
"Harvard Law School"	0.0421129
"State Administration of Cultural Heritage"	0.0421083
"Visa International"	0.0419924
"Chinese Academy of Sciences"	0.0419171
"Graduate School of Business"	0.0417509
"Beth Israel Deaconess Medical Center"	0.0417034
"Carnegie Endowment"	0.0416143
"China Association for Science"	0.041522
"Kennedy School of Government"	0.0415083
"University of Pennsylvania"	0.0410141
"Shanghai Municipal Government"	0.0407603
))
(Chinese-American (desc 3464.41) (sims
Asian-American	0.201801
Mexican-American	0.173359
"African American"	0.167903
Korean-American	0.164508
"Asian American"	0.160218
Japanese-American	0.148287
"Irish Catholic"	0.138626
Italian-American	0.133614
Cuban-American	0.124328
Asia-Europe	0.113731
Hasidic	0.109812
Irish-American	0.106576
"Orthodox Jewish"	0.106561
U.S.-Russian	0.1055
Arab-American	0.104128
Anglo	0.103822
slain	0.102959
"Hispanic American"	0.101586
nonwhite	0.0981204
"Kosovar Albanian"	0.0976751
"Israeli Arab"	0.0970258
Sino-French	0.0927119
Amish	0.0922685
"American Jewish"	0.0863427
non-Hispanic	0.0861408
Hmong	0.0850087
world-famous	0.0842554
non-Jewish	0.0826622
preteen	0.0822078
Okinawan	0.0818334
U.S.-China	0.0811787
Sino-African	0.0808901
Sephardic	0.0774445
Latina	0.076444
Russian-U.S.	0.0763743
"mentally retarded"	0.0755214
Aggie	0.0755093
Danish	0.075156
"native American"	0.0737848
"French Canadian"	0.0734649
Israeli-Arab	0.0733284
"Puerto Rican"	0.0732615
Irish	0.0723606
Korean	0.0713741
"American Indian"	0.0708198
Sino-Russian	0.0702878
"nearly @@@"	0.0693247
Kosovar	0.0692245
batboy	0.0679549
Maasai	0.0676338
"West Indian"	0.0671936
second-grade	0.0663331
inter-Korean	0.0662311
"Kosovo Albanian"	0.0659713
nerdy	0.0658151
"belly dancer"	0.0656764
Younger	0.064938
China-U.S.	0.0641497
"about two"	0.0640949
non-Catholic	0.0640634
absentee	0.0638803
"North African"	0.0636965
"pen pal"	0.0627813
quadriplegic	0.0626097
Sino-Japanese	0.0620563
non-Muslim	0.0610013
Sino-British	0.0607586
Armenian	0.0605151
U.S.-Japan	0.0600791
low-income	0.0596782
nuclear-weapons	0.0591954
non-Indian	0.0591932
"boy wonder"	0.0589802
CalTech	0.0589787
"Black Panther"	0.0589655
sixth-grade	0.0588923
Inuit	0.0587773
Swedish	0.0586644
"Southern Baptist"	0.0583972
Asian-Americans	0.0580404
double-teamed	0.0578838
"Phi Beta Kappa"	0.0577458
"Cambridge University"	0.0573666
Anglo-American	0.0569684
battler	0.0567496
"over @@@"	0.0563933
Sino-U.S.	0.0562989
"two dozen"	0.0559729
neophyte	0.0557332
paraplegic	0.0554334
Driven	0.055216
"Princeton University"	0.0551898
yeshiva	0.0550098
"chairman emeritus"	0.0546995
emigre	0.0540129
has-been	0.0538932
Tibetan	0.0536394
inter-Arab	0.0535612
vegetarian	0.0534919
"Latin American"	0.0533675
AWOL	0.0528886
"Eastern European"	0.052834
"volleyball player"	0.0527319
Thirty	0.0525301
Franco-German	0.0524009
Gypsy	0.0523949
"over @,@@@"	0.0523409
geeky	0.0520731
Fermilab	0.0518744
CERN	0.0517918
Latvian	0.0517574
"Overseas Chinese"	0.0517098
eighth-grade	0.0516658
Mennonite	0.0516517
"Temple University"	0.0512779
Kazakh	0.0508801
Hausa	0.0506071
sobbing	0.0505631
Navajo	0.05046
monarchist	0.0502759
third-grade	0.0502626
"University of Hawaii"	0.0501325
BASQUE	0.0500769
"working class"	0.0500344
techie	0.0499584
"Other @@"	0.0499563
"more than @@@@"	0.049869
shaken	0.0497941
Bessette	0.0496736
Islamist	0.0495717
"union representative"	0.0495341
Croat	0.0494029
self-described	0.0493617
newspaperman	0.0493402
"Turkish Cypriot"	0.0493165
Grammy	0.0492857
Sunni	0.0490989
"Two hundred"	0.0490689
"another @@,@@@"	0.0488805
"computer expert"	0.0487063
"University of Kentucky"	0.0486473
sought-after	0.0486177
Brookhaven	0.0485348
"over @.@@ million"	0.0484905
pressman	0.048364
naturalist	0.0482868
"roughly @@,@@@"	0.0482022
"Bay State"	0.0480765
abolitionist	0.0480263
"second person"	0.0480083
world-class	0.0479548
Hawaiian	0.0479262
"Another eight"	0.047822
forgotten	0.0467219
multimillionaire	0.046708
"Orthodox Jew"	0.0465248
"almost @@@,@@@"	0.0465071
expatriate	0.0464685
Anglos	0.0464572
infantryman	0.0461962
Quaker	0.0461098
"South Korean"	0.0460995
hippie	0.0460412
"altar boy"	0.04599
"nearly @@@,@@@"	0.0459788
"bon vivant"	0.0458994
alumnus	0.0458519
"black person"	0.0458431
UC	0.0457969
"almost @@,@@@"	0.0457704
"Roman Catholic"	0.0457103
Sylvia	0.0456615
"Stanford University"	0.0456263
pro-life	0.0456049
"about four"	0.0455966
pinup	0.045594
Sikh	0.0455691
"Rutgers University"	0.0455362
billionaire	0.0454913
"six to @@"	0.0454854
Coptic	0.0454783
Finnish	0.0454199
"Three hundred"	0.0453609
learner	0.045319
Eighteen	0.0451362
"first pitcher"	0.0451243
"computer scientist"	0.0449587
decadelong	0.0448983
postgraduate	0.0448759
Sixteen	0.044838
Yoruba	0.0448331
"Fordham University"	0.0447471
"More than three million"	0.0447385
"Central American"	0.0447088
"University of Wisconsin"	0.0446335
"nearly @ million"	0.0446206
NCI	0.0444779
Ecuadorean	0.0444485
"Yale university"	0.0444353
Ukrainian	0.0443876
))
(Chinese-Americans (desc 2021.39) (sims
Chinese-Indonesians	0.125028
Asian-Americans	0.101112
Atlantans	0.10082
"American Jews"	0.0974246
Italian-Americans	0.0931741
"New York Democrats"	0.0927614
mainlanders	0.0887574
Bostonians	0.0869209
Taiwanese	0.0867587
Washingtonian	0.0841958
"Cuban Americans"	0.0824508
Malay	0.0817681
Guatemalan	0.0798926
"Asian Americans"	0.079456
Uighurs	0.0781122
"North Carolinian"	0.0779893
"Orthodox Jews"	0.0778586
Salvadoran	0.0776613
Beijingers	0.0775063
Muscovite	0.0766878
Creationists	0.0766827
Koreans	0.0757512
"Sri Lankans"	0.0748682
adoptees	0.0748027
Dominican	0.0740708
Cuban-Americans	0.073048
filmgoers	0.0721337
well-wisher	0.0721322
Haitian	0.0713519
"civic leader"	0.0712373
Tibetans	0.0701428
shipowner	0.0700783
"New York Republicans"	0.0700082
protestor	0.0699335
Honduran	0.0698774
"stamp collector"	0.0696863
"African Americans"	0.0693229
"Southern Baptists"	0.0688808
Parisian	0.0688259
Eritrean	0.0681232
"East German"	0.0677137
"South Koreans"	0.0676043
"business executive"	0.0673284
Pakistani	0.0670669
"political detainee"	0.0669162
Filipino	0.0668666
westerner	0.0667245
"medical specialist"	0.0666143
"foreign officials"	0.0666115
Hawaiians	0.0663069
backpackers	0.0660102
"business leader"	0.065615
Moroccan	0.0653235
"Texas Democrats"	0.0652458
Bangladeshi	0.0647343
non-Jew	0.0645305
businesspeople	0.0643488
"economic expert"	0.0641159
Londoner	0.0638379
Navajos	0.0638327
Georgian	0.0636665
"Israeli Arabs"	0.0635258
Tennessean	0.0633698
marcher	0.0632622
criminologists	0.0630013
leftist	0.0629958
Bosnians	0.062976
"university student"	0.062902
"newspaper editor"	0.0626819
Montenegrins	0.0624345
Nepalese	0.0624262
Frenchmen	0.0622455
optometrist	0.0618368
"Petroleum Exporting Countries"	0.0618147
franchisees	0.0617583
statesmen	0.0616015
"union member"	0.0615958
"San Franciscans"	0.0614521
policymakers	0.0614132
Mozambican	0.0611377
twentysomethings	0.0609002
Kuwaiti	0.0607975
picnicker	0.0605755
urbanites	0.0605546
"New Zealander"	0.0603758
onlooker	0.0602612
"North Africans"	0.0600884
Industrialist	0.0598205
"House Democrats"	0.05969
celebrant	0.0595654
illegals	0.0594763
"health professional"	0.0592696
techies	0.0592244
"music lover"	0.0591071
landowner	0.0590791
Berliner	0.0590478
transnationals	0.058704
mourner	0.058577
psychoanalyst	0.0583878
farmworkers	0.0583737
Moslem	0.0582977
"club member"	0.0582467
Alumni	0.0582384
bystander	0.0580965
emigrant	0.0578328
Ghanaians	0.0578324
"Kosovar Albanians"	0.0577249
businesswomen	0.0576559
hemophiliac	0.0576463
Masire	0.0570809
enactors	0.0567467
Mongolian	0.0566526
holidaymaker	0.0564744
"faculty member"	0.0564381
Greeks	0.0563711
"House Republicans"	0.0563572
"market participant"	0.0562414
restaurateur	0.0559776
picketers	0.055901
"Commonwealth Ministerial Action Group"	0.0558159
"religious leader"	0.0557025
"labor leader"	0.0555851
"small farmer"	0.0555822
Afrikaner	0.0554161
Ecuadoreans	0.0554114
"Bosnian Croats"	0.055372
"North Koreans"	0.0552908
Islamists	0.0551053
craftsmen	0.0549737
"Iraqi Kurds"	0.0549655
dignitary	0.0548159
Armenians	0.0546828
census-takers	0.0546099
Aborigine	0.0545744
Algerian	0.0545512
expatriate	0.0545086
Arab-Americans	0.054485
"legal expert"	0.054464
partygoer	0.0543359
Serbians	0.0543061
"Group of Rio"	0.054293
"car dealer"	0.0542071
"neurological disease"	0.0540035
Espinosa	0.0539445
"married woman"	0.0538967
Cambodian	0.05388
officeholder	0.0537084
Iowan	0.0537016
Slovaks	0.0535507
vacationer	0.0532881
Tatar	0.0532797
Aboriginal	0.0532579
evacuee	0.053238
"Kosovo Albanians"	0.0531731
"political dissident"	0.0530894
rappers	0.0530872
enterpreneurs	0.0530747
Nicaraguan	0.0529614
Quebecers	0.0529125
"African Union"	0.0528908
"property owner"	0.0525347
janitor	0.052424
"New Jerseyans"	0.0521102
"gold miner"	0.0521057
"people of color"	0.0520145
Ukrainians	0.0519658
Northerner	0.051949
"church member"	0.0518908
bikers	0.0518063
"American Indian"	0.0517884
non-Muslims	0.0517573
Ohioan	0.0517207
Macedonian	0.0517191
"trucking industry"	0.0516997
"Iraqi POWs"	0.0515305
Missourian	0.0514655
"Museum of Contemporary Art"	0.0513671
Arizonan	0.0512945
"business organization"	0.0511376
"trade unionist"	0.0511301
"corporate executive"	0.0510816
Latvians	0.0507405
"home buyer"	0.0506903
e-tailers	0.0506866
centenarian	0.0506012
"Kosovo Serbs"	0.0505497
Postmaster	0.050407
"Central American"	0.0503888
Liberian	0.0502705
preservationists	0.0502357
"British people"	0.0502048
schoolchildren	0.0501377
"plastic surgeon"	0.0501294
Negro	0.0501252
townspeople	0.0499517
"coal miner"	0.0499187
Gielgud	0.0499124
theatergoer	0.0498484
archaeologist	0.0497344
stone-throwers	0.0496361
))
(Chinese-Indonesians (desc 725.367) (sims
Arab-Americans	0.145966
Ecuadoreans	0.130189
"Cuban Americans"	0.128461
Chinese-Americans	0.125028
"Kosovo Serbs"	0.120857
"Iraqi Kurds"	0.111487
Copt	0.106567
Quebecers	0.104901
"people of color"	0.100867
Italian-Americans	0.100247
enlistee	0.0997173
illegals	0.0994003
Beijingers	0.0981487
Muscovite	0.0972581
"San Franciscans"	0.0972498
"Albanian Kosovars"	0.0968531
"Southern Democrats"	0.0962144
Basques	0.0940149
criminologists	0.0936032
"Andean Group"	0.0933755
"North Africans"	0.0918789
Salvadoran	0.0915207
registrant	0.0913652
Timorese	0.0912237
"American Jews"	0.0907202
Nicaraguan	0.0898891
"Times Co."	0.0898116
Asian-Americans	0.0897656
Montenegrins	0.0896936
"New York Democrats"	0.0896794
"market watcher"	0.0890904
VMs	0.0848272
"Asian Americans"	0.0847173
Ohioan	0.0846401
"South Carolinian"	0.084504
"Israeli Arabs"	0.0838433
Malian	0.0821565
"New York Republicans"	0.0820873
Anglo-Saxon	0.081821
Uighurs	0.0817234
adoptees	0.0813616
"Russian Jews"	0.081129
"China National Petroleum Corporation"	0.0810648
noncombatant	0.0805507
mainlanders	0.0799356
Algerian	0.0792056
Atlantans	0.0790139
Mexican-Americans	0.0787696
third-graders	0.0786414
Chechens	0.0778675
"political dissident"	0.0777445
"Iraqi POWs"	0.0777213
Panamanian	0.0775892
"Orthodox Jews"	0.0774109
"Sierra Leonean"	0.0773133
Liberian	0.0770083
Fijian	0.07643
Hawaiians	0.0752369
"Audubon Society"	0.0749394
Bosnians	0.0748856
"British people"	0.0748458
Honduran	0.0747372
"New Jerseyans"	0.0745471
transnationals	0.0742832
farmworkers	0.0740558
Afghan	0.073869
franchisees	0.0735305
non-Albanians	0.073004
Missourian	0.0728082
Japanese-Americans	0.0727335
asylum-seekers	0.0726391
returnees	0.0725704
"African Americans"	0.0725316
Mozambican	0.0722201
Lutheran	0.0721168
Londoner	0.0720947
"church member"	0.0720935
"North Carolinian"	0.0717037
"Coptic Christians"	0.0716841
shipowner	0.0708006
Burundian	0.0706978
"Medicare HMOs"	0.070577
Frenchmen	0.0705526
Creationists	0.0701447
literati	0.0701342
Gibbon	0.0696917
"European Jews"	0.0696584
motorcyclists	0.0693703
concertgoers	0.0689911
Ukrainians	0.0689664
non-Muslims	0.0688582
"political detainee"	0.0686326
sixth-graders	0.0685762
hemophiliac	0.0685551
twentysomethings	0.0683407
"garment worker"	0.0682166
Navajos	0.0682075
Bhutanese	0.0681478
Iowan	0.0678833
Georgian	0.0678294
major-leaguers	0.067565
Tibetans	0.0674619
"Carlos Salinas"	0.0673998
clinician	0.0673719
Moslem	0.0672888
Tamil	0.0670833
Irishmen	0.0669276
"North Koreans"	0.0669015
Croats	0.0668994
Serbians	0.0668458
"minority shareholder"	0.0667473
Perisho	0.0662479
"Sri Lankans"	0.066182
landowner	0.0660273
"Homo erectus"	0.0657969
Kurds	0.0656968
"Angolan Government"	0.0655613
Banyamulenge	0.0653639
joint-ventures	0.0653536
"U.S. Information Agency"	0.0652175
ex-convicts	0.0650316
evangelicals	0.0648205
Hutus	0.0647188
Gypsy	0.064265
emigrant	0.0642624
loony	0.0642001
Armenians	0.0640629
"heavy hitter"	0.0639559
Mladic	0.0637262
"Ethnic Albanians"	0.0635316
"foreign officials"	0.0634585
Cuban-Americans	0.0634342
Bostonians	0.0632088
Cypriot	0.063199
drownings	0.0630671
"East Timorese"	0.0630049
"bond investor"	0.0627868
"Texas Democrats"	0.0626942
contras	0.0626892
"Central American"	0.0626413
"property owner"	0.0626211
nudist	0.0623943
Floridian	0.062371
Englishmen	0.0623576
Zairean	0.0623498
Acadian	0.0617895
midshipmen	0.0617395
"Armed Islamic Group"	0.0616825
"civic leader"	0.061604
"school girl"	0.0615692
"Kosovar Albanians"	0.0614935
"little leaguer"	0.0614896
Tutsis	0.0614455
herdsmen	0.0613941
"stamp collector"	0.0613922
"Sunni Muslims"	0.0612842
"small farmer"	0.061254
"Sudan People's Liberation Army"	0.0611629
Northerner	0.0610144
complainant	0.0609723
oilmen	0.0609721
"Greek Cypriots"	0.0608602
resellers	0.0605878
"school boy"	0.060506
Ghanaians	0.0604785
Baptists	0.0600743
bondholder	0.0599821
filmgoers	0.0597962
mujahedeen	0.0597848
Dostum	0.0595504
Brunner	0.0595383
Kambanda	0.0593523
Hmong	0.0592423
Nasrin	0.0592115
preservationists	0.05914
SEZs	0.0590477
"Southern Baptists"	0.0590034
Anglos	0.0588048
worshipper	0.0587741
Athenian	0.0586444
"Hispanic American"	0.0584118
holidaymaker	0.0582981
nonwhites	0.058242
Kalejs	0.0582373
cantons	0.0582294
firsts	0.0581722
"three schools"	0.058047
Guatemalan	0.0579475
Macedonian	0.0577638
nonprofits	0.0577514
"French people"	0.0576199
lobstermen	0.0574191
"foster child"	0.057355
Marcoses	0.0573177
do-it-yourselfers	0.057163
Hightower	0.0571177
dieters	0.0568583
Chicagoans	0.0568189
multimillionaires	0.0567675
Mullah	0.0567022
))
(chink (desc 1856.99) (sims
kink	0.101107
"silver lining"	0.0841199
indentation	0.0807004
fissure	0.0778719
flicker	0.0770004
"weak point"	0.0755002
downsides	0.0733539
glimmer	0.0721757
imperfection	0.0709028
letup	0.0678354
"bullet hole"	0.0648932
backsliding	0.0639608
"safety problem"	0.0629098
hiccup	0.0627755
"dollar sign"	0.0607267
pore	0.0606436
slippage	0.0598796
"great deal"	0.0592833
"sacred cow"	0.0586982
"written record"	0.0580374
absolutes	0.0577929
"bright side"	0.057781
pick-up	0.0546241
"blind spot"	0.0545641
student-athlete	0.054241
"white elephant"	0.053939
hesitancy	0.0533357
pitfall	0.0527784
"secret plan"	0.052238
inconsistency	0.0520794
droplet	0.0518844
uptick	0.0515475
"difference of opinion"	0.0513436
splotch	0.0512529
crevice	0.0510635
"accounting problem"	0.0507465
"practical application"	0.0507353
inaccuracy	0.0502398
hang-up	0.050067
shredders	0.0496969
dropoff	0.0496465
malignancy	0.0495303
"tax advantage"	0.049431
drawback	0.0492625
"soft spot"	0.0486436
"vested interest"	0.0482844
discrepancy	0.0482762
"circumstantial evidence"	0.0477472
particulates	0.0477228
cog	0.0473791
inadequacy	0.0468742
half-full	0.0461488
ifs	0.0461342
porthole	0.046047
uptrend	0.0459238
"man's body"	0.0459139
correlation	0.0456767
misperception	0.0453376
shivering	0.0448129
anomaly	0.0446752
"hiding place"	0.0445604
semblance	0.0441109
abnormality	0.0437995
deceleration	0.0437619
Radon	0.0435974
"Subway Series"	0.0434104
third-graders	0.0433683
malice	0.0432525
miscalculation	0.0428177
dimple	0.0427099
"guardian angel"	0.042602
fisticuffs	0.0421843
impropriety	0.0420592
"magic bullet"	0.0417911
"ping-pong ball"	0.04178
"direct evidence"	0.0417675
"Iranian POWs"	0.0416315
drop-off	0.0416034
"elbow room"	0.0414941
disinterest	0.0414682
emptiness	0.041467
falloff	0.0413728
gradation	0.0413439
crock	0.0412925
inkling	0.041278
wrongdoer	0.0412404
"slip of paper"	0.0411756
Play-Doh	0.0410809
nodule	0.041052
blemish	0.0410133
boob	0.0407571
twinkle	0.0406502
"clenched fist"	0.0406482
"clean slate"	0.0406397
"ray of light"	0.0405899
"target area"	0.040588
carcinogen	0.0402737
glint	0.0402442
"studio apartment"	0.0402317
dioxins	0.0400865
speck	0.0400792
))
(Chino (desc 2308.09) (sims
bluejeans	0.179387
docker	0.167932
khaki	0.157156
"tennis shoe"	0.154074
"sweat pants"	0.14156
"blue jean"	0.136781
trouser	0.136087
"sports jacket"	0.129617
"sport shirt"	0.128506
turtleneck	0.128012
slack	0.127154
windbreaker	0.119955
"cowboy boot"	0.11663
"leather jacket"	0.112557
pajama	0.11188
"baseball cap"	0.111066
"straw hat"	0.108145
flannel	0.107527
"cowboy hat"	0.107037
loafer	0.106828
jean	0.106828
sweatshirt	0.104792
suede	0.101983
sarong	0.101056
bellbottoms	0.0997476
pullover	0.0987823
capris	0.0961118
sneaker	0.0941354
cardigan	0.093032
bandanna	0.0918301
kilt	0.0904705
caftan	0.0904266
turban	0.0898295
sandal	0.0870803
tights	0.0869168
raincoat	0.0867717
suspender	0.0865754
denim	0.0854087
beret	0.0850079
sunglasses	0.0847831
loincloth	0.0846864
blouse	0.0845244
Pantsuits	0.0813059
shorts	0.0806085
STETSON	0.0802014
sweater	0.0801993
tweed	0.0800118
slacks	0.0796091
"dress shirt"	0.0792649
plaid	0.0790537
cutoffs	0.079053
"bow tie"	0.0788915
"polo shirt"	0.0788075
DKNY	0.0781239
camisole	0.0780552
spandex	0.0777035
tunic	0.077474
"pants suit"	0.0756241
miniskirt	0.0753937
drawstring	0.0748406
"black tie"	0.0748396
Levi's	0.074536
trousers	0.0720328
underpants	0.071773
knickers	0.0716397
leotards	0.071169
"business suit"	0.0709925
"hard hat"	0.0704553
clingy	0.070282
blazer	0.0700499
Tutu	0.0693908
camouflage	0.0691842
"running shoe"	0.0677698
tartan	0.0667628
Ruehe	0.0652879
"belt buckle"	0.0650325
toupee	0.0642035
"combat boot"	0.0640837
"dark glasses"	0.063754
corduroy	0.0628809
slipper	0.0622706
bra	0.0614919
Vasile	0.0613227
Poncho	0.0611699
waistcoat	0.0605095
underwear	0.0604811
Barrington	0.0603455
necktie	0.0602189
"hot pants"	0.0601992
apron	0.0596679
pants	0.0596204
Holl	0.059454
"Santa Clarita"	0.0591724
linen	0.0589033
"coffee mug"	0.0583086
Stoyanov	0.0581914
"San Fernando"	0.0581051
headband	0.057989
"trench coat"	0.0576525
Guterres	0.0564433
Daryl	0.056291
"bathing suit"	0.0560411
miniskirts	0.056012
Fernandes	0.0557694
"Paradise Valley"	0.0550289
Azad	0.0550241
tuxedo	0.0549931
bedsheets	0.0549641
ascot	0.0548495
jumpsuit	0.0544033
bathrobe	0.0537831
Klima	0.0536869
Chamonix	0.0536778
bikini	0.0536512
nylon	0.0535279
Waterville	0.0534611
coverall	0.0534341
taffeta	0.0533516
Prescott	0.053131
"ball gown"	0.0529361
moustache	0.0526966
"top hat"	0.0526841
"Palm Beach Gardens"	0.0526687
Carmel	0.0525842
Komura	0.0524612
Lari	0.0520565
Tarawneh	0.0519302
"Abercrombie &AMP; Fitch"	0.0518706
Beazley	0.0516319
velvet	0.0512583
skullcap	0.0510477
"evening gown"	0.051023
Schrempp	0.0509984
"ski mask"	0.0509178
"boxing glove"	0.0508695
capri	0.0506805
Peekskill	0.0504989
nightgown	0.0503467
Brundtland	0.0501654
cleat	0.0499484
Izetbegovic	0.049313
handkerchief	0.0487639
Abdel-Meguid	0.0486089
bolero	0.0485162
eyeglass	0.0485092
Arens	0.0481815
undershirt	0.0481762
Rodionov	0.0480946
rayon	0.0479311
"Speaker Ali Akbar Nateq-Nouri"	0.0479074
Nateq-Nouri	0.0478256
"John Sweeney"	0.047701
Kasoulides	0.0476213
panty	0.0476107
"key ring"	0.0472607
"feather boa"	0.0471908
wrangler	0.0470953
"de Charette"	0.047016
Keene	0.0469763
Aventajado	0.0469627
Koirala	0.0469217
Nujoma	0.0468775
"bowler hat"	0.046838
polyester	0.0467513
legging	0.0466224
Okada	0.0465068
Scharping	0.0463393
Sumaye	0.0461199
Bruton	0.0460737
Granic	0.0459877
Lycra	0.0459854
Nemtsov	0.0458793
Rawabdeh	0.0458209
Moratinos	0.045537
tux	0.0454036
girdle	0.0452358
Bondevik	0.0451856
Houghton	0.0450998
LAKEWOOD	0.0449597
Needham	0.0448801
"life vest"	0.0445052
armband	0.0443983
Boueiz	0.0442042
"street clothes"	0.0439402
Klestil	0.0439244
Ikeda	0.0438247
"stiletto heel"	0.0438172
pinstripes	0.0438164
Gowda	0.0437264
"Secretary General Esmat Abdul-Meguid"	0.0436972
Soares	0.0435864
Ikimi	0.0434532
Kesri	0.0433946
lingerie	0.0432845
Constantinescu	0.0431288
Yakima	0.0430693
shoelace	0.0429857
Harmoko	0.0429843
"Tommy Hilfiger"	0.0429444
taupe	0.042892
))
(chinook (desc 5192.35) (sims
sockeye	0.228647
coho	0.207929
steelhead	0.188654
"coho salmon"	0.118136
Apache	0.0989249
salmon	0.0880054
"Atlantic salmon"	0.0868449
osprey	0.0848077
Concordes	0.08469
Huey	0.0786039
"Airbus A@@@"	0.0769319
"horseshoe crab"	0.0757884
trout	0.0734731
A@@@-@@@	0.0704818
"king salmon"	0.0702518
"brown trout"	0.0695094
ValuJet	0.0693877
"Air France Concorde"	0.0676517
USAir	0.0658569
gunship	0.0644519
B-@s	0.0618614
Learjet	0.0614678
cobra	0.0611169
Concorde	0.0606344
MiG-@@	0.0605171
"Kenya Airways"	0.0592948
"fighter aircraft"	0.0589296
"American plane"	0.0586759
DC-@@	0.0584407
bloomers	0.0583485
Apaches	0.058032
C-@@	0.0576805
C-@@@	0.0563608
airliner	0.0562928
DC-@	0.0559223
jetliner	0.0539951
"landing craft"	0.0538951
"jet plane"	0.0534213
"striped bass"	0.0517095
"small boat"	0.0514263
"fishing season"	0.0510301
"Exxon Valdez"	0.0509212
tanker	0.05084
"oil tanker"	0.0500625
cormorant	0.0496113
MD-@@	0.0494897
"container ship"	0.0491691
"hot-air balloon"	0.0485466
F-@@s	0.0485068
Firefly	0.048281
Mini-bus	0.0480383
Humvees	0.0469244
sturgeon	0.0465253
"brook trout"	0.0463022
"TWA Flight @@@"	0.0461137
warplane	0.0456637
AN-@@	0.0453625
bloodhound	0.0451352
lynx	0.0450932
"pirate ship"	0.0439031
"Gulf Air"	0.0437619
Hindenburg	0.0436396
hovercraft	0.0435169
"Korean Air"	0.0432998
"police dog"	0.0431063
"Alaska Airlines Flight @@@"	0.0429909
freighter	0.0429396
"patrol boat"	0.0427733
Pelican	0.0426426
blimp	0.0424573
"EgyptAir Flight @@@"	0.0423931
airship	0.0423108
redfish	0.0420992
tarpon	0.042094
"Airbus @@@"	0.0419433
"Swissair Flight @@@"	0.0418941
chopper	0.0415822
"fire engine"	0.0413721
IAF	0.0410114
B-@	0.0408653
gondola	0.0404983
"school bus"	0.0402978
adenovirus	0.0401379
Hercules	0.0400016
))
(chintz (desc 1472.9) (sims
brocade	0.116807
Eames	0.102024
taffeta	0.0984587
chaise	0.0876259
chiffon	0.0865835
wallpaper	0.0854992
gingham	0.083428
wicker	0.0799924
chenille	0.0789523
mohair	0.0778701
plaid	0.0764445
silks	0.070736
comforter	0.0676082
"Bel Air"	0.0675791
velvet	0.0652588
drapery	0.0644781
linoleum	0.0643779
bedding	0.0597002
carpeting	0.0585619
rattan	0.0549152
glassware	0.0529066
"Gilded Age"	0.052752
"bathroom fixture"	0.0506094
embroidery	0.0501061
knoll	0.0492742
housewares	0.0486658
gauze	0.0483229
sheetrock	0.0472897
wraparound	0.0470427
sarong	0.0467347
suede	0.044902
"polka dot"	0.0438069
butterscotch	0.043233
tablecloth	0.0426706
"Brooks Brothers"	0.0422452
cutlery	0.0421225
"tile roof"	0.0413173
lampshade	0.0412177
tweed	0.0406457
))
(chip (desc 105163) (sims
microprocessor	0.277577
processor	0.264057
microchip	0.172119
software	0.157966
semiconductor	0.155055
"memory chip"	0.148909
Computer	0.145633
device	0.136
modem	0.131288
"personal computer"	0.130958
"operating system"	0.12924
PC	0.129236
machine	0.125921
"disk drive"	0.124077
product	0.123058
"integrated circuit"	0.121656
hardware	0.117922
equipment	0.115571
technology	0.115561
card	0.113381
"Pentium III"	0.110175
scanner	0.10977
workstation	0.106785
component	0.105131
sensor	0.10371
"Pentium II"	0.102982
Celeron	0.102684
server	0.102294
battery	0.101729
printer	0.100876
system	0.099422
disk	0.0987627
transistor	0.0986806
Pentium	0.0984808
CD-ROM	0.0949081
appliance	0.0948977
engine	0.0919802
chocolate	0.0912207
"potato chip"	0.0910629
cheese	0.0905529
phone	0.0892349
electronics	0.0885056
motherboard	0.0884829
model	0.0884553
"Windows @@"	0.0881226
wafer	0.0880997
"hard disk"	0.088079
fruit	0.0875484
laptop	0.0874967
drive	0.0870956
"communications equipment"	0.0868156
browser	0.0858187
sugar	0.0855606
milk	0.0851575
"desktop computer"	0.0849896
cracker	0.0847293
material	0.0846667
automobile	0.0845178
camera	0.0843073
monitor	0.084277
peripheral	0.0840514
goods	0.0826457
meat	0.0820547
version	0.0818658
cereal	0.0816666
toy	0.0811714
keyboard	0.0811439
apple	0.081032
candy	0.0810157
vegetable	0.0809957
nut	0.0807891
"soft drink"	0.0807331
"circuit board"	0.0804873
wine	0.0804345
switch	0.0803582
food	0.0803067
tool	0.0803046
"cellular phone"	0.0800068
chemical	0.0799333
recorder	0.0797274
"electronic device"	0.0795251
cooky	0.0792566
oil	0.0790621
circuitry	0.078968
bread	0.0784941
tire	0.0782831
machinery	0.0778336
copier	0.077819
drug	0.0773589
"software product"	0.0773302
router	0.0770683
sandwich	0.0769697
"tv set"	0.0768528
vehicle	0.0768399
item	0.0767931
"consumer electronics"	0.0765596
pecan	0.0764285
coconut	0.076296
"ice cream"	0.0762549
car	0.0762111
handset	0.0760005
metal	0.0759151
piece	0.0757343
Satellite	0.0755395
gadget	0.0755236
iMac	0.0754009
CD	0.0753787
"computer program"	0.0753411
grain	0.07532
Beer	0.0753154
disc	0.0748944
corn	0.0746924
flour	0.0746563
design	0.0743519
cable	0.0742344
rice	0.0741532
plastic	0.0735185
instrument	0.0733949
steel	0.0732399
"electronic equipment"	0.073211
egg	0.073162
module	0.0731612
screen	0.0731072
fuel	0.0728395
"fuel cell"	0.072836
box	0.0727111
application	0.0726424
cake	0.0723178
aircraft	0.0722693
snack	0.0722454
raisin	0.0722395
laser	0.072235
putt	0.0719821
"computer hardware"	0.071914
cigarette	0.0718404
potato	0.0716172
coffee	0.0716024
kit	0.0715956
Robot	0.0712292
data	0.0708911
"home appliance"	0.0708634
Coin	0.0704613
popcorn	0.0703555
gear	0.070349
Internet	0.070099
furniture	0.0700488
medicine	0.0700485
motor	0.0699218
Vaccine	0.0697972
transmitter	0.0697855
Linux	0.0697808
Clothing	0.0697118
"cellular telephone"	0.0695744
memory	0.0693925
chicken	0.0690845
"machine tool"	0.0690693
peanut	0.069041
beef	0.0688917
"french fries"	0.0688221
"peanut butter"	0.0682957
gas	0.06825
"household appliance"	0.0680599
"consumer goods"	0.068034
service	0.0680022
network	0.0678001
console	0.0677169
cookie	0.0676357
"television set"	0.067619
noodle	0.067537
soup	0.0675249
cloth	0.0674897
"building material"	0.0674429
pretzel	0.067378
generator	0.067341
tomato	0.0671849
chunk	0.0671846
brain	0.0671647
garment	0.0671014
feature	0.0668927
slice	0.0668724
desktop	0.0668358
antenna	0.0668002
juice	0.0667919
pharmaceutical	0.0667918
fiber	0.0667633
fertilizer	0.066735
stock	0.0666861
bean	0.066669
"computer network"	0.0665768
commodity	0.0665373
Mac	0.066456
Projector	0.0663636
pump	0.0663604
Macintosh	0.0663077
networking	0.0663018
salt	0.0662781
cell	0.0662531
dish	0.0661933
tortilla	0.0660963
brand	0.0659984
))
("chip shot" (desc 2712.74) (sims
"approach shot"	0.190562
chip-in	0.186114
"sand wedge"	0.163744
putt	0.128621
"hook shot"	0.128227
three-putted	0.126163
lob	0.115679
floater	0.111528
wrister	0.104747
three-pointer	0.101932
game-tying	0.0987036
"bank shot"	0.0921531
"jump shot"	0.0920924
"Adam Vinatieri"	0.0874761
sloop	0.08743
game-winning	0.0850884
crosscourt	0.0849742
volley	0.0833242
tap-in	0.0817425
airball	0.0815957
"Hail Mary"	0.08121
"free kick"	0.0807303
"screen pass"	0.0801986
slapper	0.0792391
"pop fly"	0.0789756
buzzer-beater	0.078809
one-timer	0.0786265
Trey	0.0768543
three-point	0.0761202
Gimme	0.0756313
backhander	0.0749047
layups	0.074489
"three @-pointers"	0.0733309
"drop shot"	0.0733201
"five @-pointers"	0.072897
"cabin cruiser"	0.0726629
three-pointers	0.0718013
"foul shot"	0.0717535
comebacker	0.0715309
"another @"	0.0711181
jumper	0.0686999
"four @-pointers"	0.0685144
"another @-pointer"	0.0681139
two-putted	0.0676385
equaliser	0.067003
putback	0.0669071
two-point	0.0660449
up-and-down	0.0652987
career-best	0.0649088
"first eight"	0.0645893
popup	0.0644218
"line drive"	0.0637839
forehand	0.0636532
"first six"	0.063487
dribbler	0.0631045
layup	0.0630175
skiff	0.0621958
Brogna	0.0616879
"passing shot"	0.0614283
Wilkins	0.061374
wedge	0.0610063
backhand	0.0601713
"two @-pointers"	0.0599543
wingspan	0.0598312
"about @@@ yards"	0.0596696
bloop	0.0594824
filigree	0.0593694
"first nine"	0.0593662
"fly ball"	0.0589369
"Morten Andersen"	0.0587187
header	0.0586534
tip-in	0.0585641
"clock tower"	0.0573741
"torpedo boat"	0.0564619
Gogel	0.0563554
"foul ball"	0.0562088
parachutist	0.0552979
"Andrea Gail"	0.055264
"corner kick"	0.0546427
"seventh homer"	0.0545199
blooper	0.054336
"set point"	0.0542198
screamer	0.0541854
"third homer"	0.054173
Geiger	0.0541614
pickoff	0.0541571
Loretta	0.0541233
"pirate ship"	0.0539256
"first five"	0.0538814
TD	0.053769
"long shot"	0.053717
Jacke	0.0537169
Rolen	0.0537156
Tatis	0.053394
game-winner	0.053141
"round of golf"	0.0531012
"singing voice"	0.0529568
schooner	0.0525698
Sojo	0.0525342
axel	0.0524894
Hoch	0.0523008
steamroller	0.0522876
slant	0.0517235
looper	0.0516181
"piece of work"	0.0514934
Lieberthal	0.051431
outrigger	0.0510985
downfield	0.0510912
Salo	0.0510489
third-down	0.0508475
"first four"	0.0507178
"Kevin Dyson"	0.0506601
"next one"	0.0506268
"tractor trailer"	0.0504642
marksmanship	0.0504299
"Toyota Corolla"	0.0504108
twenty-six	0.0501018
Higginson	0.0498929
Chuasiriporn	0.0498311
"fifth homer"	0.0497727
jaunt	0.0495879
"Byung-Hyun Kim"	0.0494122
"piece of music"	0.0492951
"breaking ball"	0.0492373
Parnevik	0.0492219
"next @@"	0.0491266
salchow	0.0489619
Cepeda	0.0489024
"David Ortiz"	0.048855
Burnitz	0.048821
half-point	0.0487983
Giambi	0.0486414
inbounds	0.0485746
hole-in-one	0.0485614
chipping	0.0483433
double-bogey	0.048192
Fryman	0.0480706
handoff	0.0480379
sinker	0.0479619
processional	0.0479256
putter	0.0478676
change-up	0.0478133
Hendrickson	0.0477855
"gefilte fish"	0.0472067
"slave ship"	0.0471714
Alicea	0.0471405
"next three"	0.0471179
"water tower"	0.0470729
"margin call"	0.0469769
Hollins	0.046543
vaulter	0.0463648
Vidro	0.0462623
Grbac	0.0462162
"first seven"	0.046171
"Russ Ortiz"	0.0460826
lateral	0.0460285
"Horned Frogs"	0.0459688
Weatherspoon	0.0458657
rickshaw	0.0458149
diving	0.0458067
"sixth homer"	0.0457039
noggin	0.0457025
goalpost	0.045433
knuckleball	0.0454235
"bag of tricks"	0.0453417
"oil slick"	0.0452616
"Matt Lawton"	0.0451911
Quad	0.0451675
"Seibu Lions"	0.0451584
halfback	0.04507
"radio telescope"	0.0450111
Hasselbeck	0.0450031
Barrasso	0.044921
"space capsule"	0.0448818
Minuet	0.0448018
Panorama	0.0447966
Palczynski	0.0447421
C-@@@	0.0446969
BBOX	0.0445589
"Geoff Jenkins"	0.0445498
"hundred yards"	0.0444877
irons	0.0444552
grounder	0.044439
Webcam	0.0443637
"Wilton Veras"	0.0443042
Carney	0.0442742
"first @@"	0.0441621
Mahomes	0.0441197
"farm boy"	0.0440955
hat-trick	0.0439931
Suppan	0.043971
wraparound	0.0439038
"four to six"	0.0438377
"eighth homer"	0.0438278
sailboat	0.0437732
Counsell	0.0437491
WPP	0.0437372
penmanship	0.0437037
fourth-down	0.0436737
"golf ball"	0.0435973
))
(chip-in (desc 2924.8) (sims
double-bogey	0.249763
tap-in	0.218293
hole-in-one	0.211171
putt	0.192892
"sand wedge"	0.189681
"chip shot"	0.186114
birdie	0.166946
bogey	0.163591
"approach shot"	0.163511
eagle	0.153632
three-putted	0.148423
two-putted	0.129015
par	0.106757
bunker	0.101785
divot	0.0873581
wedge	0.0855547
fairway	0.0750952
sloop	0.0699797
airball	0.068926
"clock tower"	0.066441
Sorenstam	0.0588756
"cabin cruiser"	0.0556096
"Ferris wheel"	0.0553681
schooner	0.0531503
powerboat	0.0524461
"slave ship"	0.0516807
wrister	0.0515976
"sailing vessel"	0.0508731
one-timer	0.0502456
"jump shot"	0.0500896
"third and @"	0.0498478
Triplett	0.0492781
catamaran	0.049096
bounds	0.0482851
Trey	0.0471287
buzzer-beater	0.0463447
skiff	0.0459297
"three match points"	0.0450757
"Colin Montgomerie"	0.0448161
worksheet	0.0446746
"secret plan"	0.044245
wingspan	0.0436445
"two match points"	0.0436352
"A.P Indy"	0.0433352
fourth-and-@@	0.0432205
"water tower"	0.0432109
"break of serve"	0.0421485
"stage name"	0.0420136
motorboat	0.0419158
Ozaki	0.0418798
vaulter	0.041637
"Hail Mary"	0.0414653
floater	0.0414486
par-@	0.0411381
par-@s	0.0411228
third-and-@@	0.0409312
putter	0.0404634
sinkhole	0.0401102
Hoch	0.0400039
))
(chipmaker (desc 2972.91) (sims
"semiconductor maker"	0.236778
chipmakers	0.213771
toymaker	0.154781
drugmaker	0.108708
"toy maker"	0.108455
"computer giant"	0.107697
"Advanced Micro"	0.107535
"toy retailer"	0.105915
"software maker"	0.0919407
PictureTel	0.0890239
VENATOR	0.0820067
"computer maker"	0.0811475
carmaker	0.0806002
"tire maker"	0.0794372
meatpackers	0.079058
AutoNation	0.07804
Gartner	0.0760202
"life insurer"	0.0754356
ENTREMED	0.07363
"defense contractor"	0.0728615
issuer	0.0709451
"Thermo Electron"	0.0709217
Starwood	0.0704949
"car maker"	0.0697236
CCE	0.0691391
bellwether	0.068799
"auto company"	0.0687183
Ti	0.0682116
bottler	0.0678633
"futures exchange"	0.067721
AMD	0.0669373
"electronics company"	0.0669243
Tandy	0.0668651
automaker	0.0662207
Danka	0.0662182
Mattel	0.0659597
Petrofina	0.0651286
Micron	0.0649736
RJR	0.0646463
"U.S. Agriculture Department"	0.0643929
polluter	0.0639957
"radio telescope"	0.063863
"auto maker"	0.0631244
XYLAN	0.0628458
MiniMed	0.0627511
NORTHROP	0.062751
"banking company"	0.0623426
Broadcom	0.0621677
"Intel Corp."	0.0619255
"Pacific Century"	0.0618295
"retail chain"	0.0618277
microchip	0.0617941
"Big Blue"	0.0613028
Penney	0.0612025
MACROMEDIA	0.0610965
"bank holding company"	0.0603219
led	0.0600426
steelmaker	0.0598249
Ciena	0.0593983
"HBO &AMP; Co."	0.0593768
"Rite Aid"	0.0589823
"Stride Rite"	0.0584603
"Advanced Micro Devices"	0.0579724
LTCB	0.0572591
UAL	0.0568225
reseller	0.0559612
"Reed Elsevier"	0.055884
Conseco	0.0557265
RAMBUS	0.055588
adobe	0.0554973
shipbuilder	0.055359
TYCO	0.0549629
Qualcomm	0.0549371
Vitesse	0.0548676
TELLABS	0.0547668
Genentech	0.0546399
Agilent	0.0546281
SGI	0.054496
WPP	0.0544156
Corel	0.0540314
"insurance broker"	0.0539089
Loewen	0.0537476
Isner	0.0536077
"P&AMP;G"	0.0535794
Nortel	0.0535706
Maytag	0.0534876
"telephone operator"	0.0532866
ZDTV	0.0532664
Cendant	0.053203
Healtheon	0.0531802
emitter	0.0528325
"aircraft order"	0.0525423
ALZA	0.052516
"cable operator"	0.0522551
McKesson	0.0519598
"HSBC Holdings"	0.0519263
Sunbeam	0.0516976
"drug maker"	0.0514974
Nokia	0.0514447
"China Airlines"	0.0512921
Litton	0.0509619
"oil producer"	0.0509599
Rylander	0.0506888
BCE	0.0505933
Emulex	0.050501
Daimler	0.0502757
Koskinen	0.0501882
Warnaco	0.0500833
derriere	0.049963
"newspaper publisher"	0.0494489
Hallinan	0.0493917
"food company"	0.0493526
Kroll	0.0491514
EMC	0.0491405
"public square"	0.0490678
"security consultant"	0.0489284
chaebol	0.0488883
metropolises	0.0486052
Kazhegeldin	0.0486031
REVLON	0.0485799
"Mattel Inc."	0.0485604
Nabisco	0.0485429
BHP	0.0484487
PLDT	0.0483575
Amgen	0.0483445
"Medicare HMO"	0.0483277
"shipping company"	0.0482093
bookseller	0.0481656
Gillette	0.0480673
Thyssen	0.0478976
"Ferris wheel"	0.0478852
resellers	0.047777
"gas company"	0.0476867
COLTEC	0.047425
Norwest	0.0473823
Transmeta	0.0472511
"building society"	0.0471269
E-LOAN	0.0471138
Sepracor	0.0470188
"De Beers"	0.0469363
"Gillette Co."	0.0468172
Reebok	0.0466185
"America West"	0.0465673
Cathay	0.0465343
"Hurricane Bret"	0.046474
"Agriculture Ministry"	0.0464171
Biogen	0.0463202
"Telecom Italia"	0.0460907
"takeover attempt"	0.0459361
Gilead	0.0457123
"Bankers Trust"	0.0455865
Borrego	0.0454809
"U.S. Defense Department"	0.0453824
Pixar	0.0453174
"Global Crossing"	0.0452765
Hasbro	0.0452724
"auction house"	0.045174
"Northern Telecom"	0.0451016
Livent	0.0450699
BankAmerica	0.0450599
"Nationalist Party"	0.0450132
Fabius	0.0449893
Qwest	0.0449701
"American Home"	0.0449329
AMF	0.0448873
Ericsson	0.0448731
Kmart	0.0448002
HP	0.0445545
CompUSA	0.0445026
"RJR Nabisco"	0.0444905
"Protestant denomination"	0.0444013
"weather forecaster"	0.0443114
NatWest	0.044276
CMG	0.0442726
"suspension bridge"	0.0442573
BofA	0.0442553
Honeywell	0.0442365
"tropical rain forest"	0.0442128
Pepsico	0.0441585
Seagate	0.0441563
"Nissan Motor Co."	0.0441476
Providian	0.0441165
foundry	0.0440941
"Dow Chemical"	0.0440431
tarpon	0.0440429
CNET	0.0440027
Merrill	0.0439769
"oil slick"	0.0438001
Pitney	0.0437327
Corning	0.0437277
"market maker"	0.0436766
"Deutsche Bank"	0.0435617
Polaroid	0.0435062
"mining company"	0.0433409
"container ship"	0.0431626
Cabletron	0.0431598
"U.S. Commerce Department"	0.0431047
Tsvangirai	0.043054
accelerator	0.0429579
Kodak	0.0429411
))
(chipmakers (desc 1126.9) (sims
chipmaker	0.213771
carmakers	0.120572
"computer giant"	0.104839
meatpackers	0.0910873
drugmakers	0.0906733
"Southern Democrats"	0.0884118
"semiconductor maker"	0.087259
"toy maker"	0.0834822
"tax change"	0.0831637
"Texas Instruments"	0.078492
"toy retailer"	0.0781431
"Charles Schwab Corp."	0.0766629
"Wireless Optus"	0.0766417
"Advanced Micro Devices Inc."	0.0764378
"America West Airlines"	0.076368
"auto maker"	0.0744663
shipbuilder	0.0737789
"Applied Materials"	0.0732992
"life insurer"	0.0732777
steelmaker	0.0711849
"department store chain"	0.0710349
major-leaguers	0.070388
"Advanced Micro Devices"	0.0701211
transnationals	0.0693455
VCs	0.0676135
CMG	0.0662205
"software maker"	0.0644247
e-tailers	0.0636843
"Hollywood studio"	0.0631775
"Russian bank"	0.0631399
"market maker"	0.0628387
"benefit program"	0.0626245
"auto manufacturer"	0.0626198
"electronics company"	0.0624133
TELLABS	0.0620039
Durwood	0.0616014
"investment house"	0.0615589
"storage device"	0.0615312
"EMC Corp."	0.0610096
"car maker"	0.0606064
"Micron Technology"	0.0602446
"retail operation"	0.0602416
"auto company"	0.0600446
"Enron Corp."	0.0600131
metropolises	0.0597188
techs	0.0595244
microchip	0.0594071
"application program"	0.0593411
"market participant"	0.0592279
"minority shareholder"	0.0587035
"WorldCom Inc."	0.0585402
"hard drug"	0.0585151
Starzz	0.0581131
Thyssen	0.0577819
resellers	0.0576914
BHP	0.0568438
blue-chips	0.0566147
"business organization"	0.056245
sub-indices	0.0559229
"market average"	0.0556074
Alcatel	0.0550287
"credit bureau"	0.0550165
"information provider"	0.0545268
"Amazon.com Inc."	0.0544995
"Baby Bells"	0.0544505
"NEC Corp."	0.0543455
REITs	0.0543198
"cable operator"	0.0541382
"corporate investor"	0.0541295
"ELF AQUITAINE"	0.0539967
bruiser	0.0536692
UAM	0.0536264
"Development Bank of Singapore"	0.0535372
ifs	0.053508
"car manufacturer"	0.0532485
multinationals	0.0532021
meccas	0.0531705
Telstra	0.0529076
highflier	0.0526773
"Adobe Systems"	0.0525992
refiner	0.0523025
"New York Democrats"	0.0522149
"Lockheed Martin Corp."	0.0521949
"computer store"	0.0521671
"market watcher"	0.052027
"New York Republicans"	0.0518165
"Pepsico Inc."	0.0517313
"Marge Schott"	0.0516713
pro-British	0.0511403
"trucking company"	0.0509895
chaebols	0.0509247
subclans	0.0508143
Medtronic	0.0507779
"drug maker"	0.0507608
"Internet Service Providers"	0.0507389
newbies	0.0505644
"American Jews"	0.0505332
Bayer	0.0503491
Heinz	0.0502566
Ohioan	0.0502133
"New Jerseyans"	0.0502101
Paxson	0.0500437
"Atlantic Richfield"	0.0498588
"Hyundai Group"	0.0498196
Salernitana	0.0496721
"entitlement program"	0.0496127
NORTHROP	0.049592
toymaker	0.0495694
moviemakers	0.0493311
"vital organ"	0.0492357
billionaires	0.0492311
"Nihon Keizai Shimbun"	0.0492098
"Wal-Mart Stores Inc."	0.0491296
"steel company"	0.0491143
"Kenneth Clarke"	0.0489116
"power company"	0.0487826
Alcoa	0.048696
bottlers	0.0486534
SGI	0.0485615
townsfolk	0.0484742
"gas plant"	0.0482459
"Cisco Systems"	0.0481354
RAMBUS	0.0479383
Gunmakers	0.0478831
kingfisher	0.0478401
"retail chain"	0.047803
"talent agent"	0.0476484
"tire maker"	0.0476151
varietals	0.0475611
"commercial enterprise"	0.0475327
newsweekly	0.0475311
tacklers	0.047491
"brokerage house"	0.0474375
Creationists	0.0474014
celebs	0.0470385
corporates	0.0470019
"aircraft order"	0.0469436
issuers	0.0469241
"business enterprise"	0.0468803
"Christine Arron"	0.0468148
VEBA	0.0466967
raloxifene	0.046493
"Delta Air Lines"	0.0464639
EMC	0.046309
bugaboo	0.046303
Copley	0.046262
firsts	0.046241
discounter	0.0462387
"key rate"	0.0461039
speller	0.0454779
Aegon	0.0453976
"Nancy Kerrigan"	0.0452979
"Bruno Megret"	0.0452809
"Thai Airways International"	0.0452633
"Campbell Soup"	0.0452206
"Vodafone Airtouch PLC"	0.0451881
"Hong Kong Telecom"	0.0451696
"Time Warner Inc."	0.0450103
"Nissan Motor Co."	0.0450092
"El Pais"	0.044987
"MindSpring Enterprises"	0.0449458
"Asian Americans"	0.0449438
criminologists	0.0449255
BUSINESSES	0.0447864
Milbury	0.044771
"Nortel Networks"	0.044756
"Washington Mutual"	0.0446713
Fiddes	0.0445543
DoCoMo	0.0444276
megamergers	0.0443931
Oneidas	0.0443456
"Protestant denomination"	0.0442768
Healtheon	0.0442736
near-misses	0.0441599
"Monetary Policy Committee"	0.0440924
Networks	0.044017
triathletes	0.0439854
"UNIX operating system"	0.0439464
REPSOL	0.0439339
IDT	0.0438808
"Exxon Corp."	0.0438088
megaplexes	0.0435779
Immunex	0.0434885
Warner-Lambert	0.0434786
Novartis	0.0433958
PDA	0.0433544
"Merck &AMP; Co."	0.0433174
"discount chain"	0.0432504
"extracurricular activity"	0.0431858
ENTERGY	0.0431704
standouts	0.0430095
"Vodafone AirTouch"	0.0429487
hotspots	0.0429304
HSBC	0.0427888
Wynn	0.0427282
reseller	0.0427258
playmakers	0.0427187
"contagious disease"	0.0426368
"Y&AMP;R"	0.0425801
"Cisco Systems Inc."	0.0425031
))
(chipmunk (desc 1217.44) (sims
raccoon	0.172464
skunk	0.151491
squirrel	0.145074
porcupine	0.121262
bobcat	0.12006
muskrat	0.115622
"bighorn sheep"	0.108606
moose	0.0991167
oxen	0.0882062
boar	0.0877033
"wild boar"	0.0787985
otter	0.0786641
gerbil	0.0752106
"prairie dog"	0.0728298
turtle	0.07107
"black bear"	0.0700393
armadillo	0.0680321
Advil	0.0679521
lizard	0.0659981
critters	0.0658525
Vulture	0.0617236
"snow leopard"	0.0609239
"mountain lion"	0.0585104
hyena	0.0582518
waterfowl	0.0572071
leopard	0.0571038
gopher	0.05685
possum	0.0552927
rodent	0.0552612
woodpecker	0.0544697
hummingbird	0.0530743
mugger	0.0517774
"A.R Baron"	0.0517546
"polar bear"	0.0516553
hamster	0.0510759
peacock	0.0505802
tarpon	0.050134
mink	0.0481966
unicorn	0.0479667
"radio transmitter"	0.0479518
"little hand"	0.0468583
yak	0.0462877
"red deer"	0.0452145
ox	0.0451586
rattlesnake	0.0449546
mole	0.0438947
"rare bird"	0.0438453
caribou	0.0436472
preteen	0.043311
pup	0.0423303
Stagecoach	0.0418342
"spider web"	0.041601
"dairy cow"	0.0409701
sleigh	0.0407776
cheetah	0.0404609
joystick	0.0404604
"sea horse"	0.0402307
))
(Chipotle (desc 2064.85) (sims
jalapeno	0.212518
Serrano	0.193999
tomatillo	0.165617
miso	0.138504
Tamarind	0.130396
wasabi	0.129449
"black bean"	0.126493
lemongrass	0.126052
cilantro	0.119465
Garlic	0.113275
"red pepper"	0.111987
teriyaki	0.1069
tarragon	0.102519
parsnip	0.100711
"white bean"	0.0979476
shallot	0.0957607
cayenne	0.0953559
ginger	0.0935412
"green pepper"	0.0911423
mango	0.0903141
Dijon	0.0886588
"hot pepper"	0.0872154
Basil	0.0856232
dill	0.0847293
praline	0.082747
pesto	0.0823239
scallion	0.0820604
"bell pepper"	0.0802043
leek	0.0801142
cauliflower	0.0798421
"coconut milk"	0.0796949
peppercorn	0.0784978
"black pepper"	0.0784717
Bonnet	0.0783989
sesame	0.0781497
Quince	0.0760902
cumin	0.075468
zucchini	0.0752347
mustard	0.0751296
lemon	0.0750533
Chili	0.0750409
celery	0.074528
horseradish	0.0742418
cucumber	0.0738313
raspberry	0.0726585
butterscotch	0.0695294
pineapple	0.0688703
"lime juice"	0.0685905
Chickpea	0.0681873
"green onion"	0.0672326
ALFREDO	0.0667327
coriander	0.065279
eggplant	0.064328
"about @ cups"	0.063884
saffron	0.062931
chiles	0.0627548
thyme	0.0622106
"chili powder"	0.0621177
"wild rice"	0.0617213
tahini	0.0616457
lime	0.0609243
spinach	0.0601055
"red onion"	0.0600784
yogurt	0.0597902
truffle	0.0596403
"goat cheese"	0.0593009
tortellini	0.0592551
almond	0.0591775
meringue	0.0588378
Or	0.0584303
teaspoon	0.0583785
parsley	0.0583132
chervil	0.0582197
"Place @"	0.0581704
"black olive"	0.057975
soy	0.0575361
paprika	0.0572892
"about @ tablespoons"	0.0566158
turnip	0.0556197
coconut	0.0555433
Roquefort	0.0554278
"bay leaf"	0.055358
frying	0.0552761
rosemary	0.0551512
"cayenne pepper"	0.0550377
marjoram	0.0547499
"brown sugar"	0.0546299
"red wine"	0.0542581
mayonnaise	0.0539498
Gorgonzola	0.053403
beet	0.0530087
"star anise"	0.0528042
seasoning	0.0523916
RHUBARB	0.0523209
"lemon zest"	0.0522707
"tomato paste"	0.0520371
kumquat	0.0513106
fennel	0.0512603
ketchup	0.0511179
GUAVA	0.0508518
"lemon juice"	0.0501357
molasses	0.0494246
currant	0.049087
artichoke	0.0490528
"shiitake mushroom"	0.0487965
allspice	0.048753
condiment	0.0485332
sundae	0.0481422
pistachio	0.048088
Madeira	0.0479539
asparagus	0.0474216
cornmeal	0.0471447
tablespoon	0.0471106
chive	0.0471001
"Tabasco sauce"	0.0468896
oregano	0.0468281
"sour cream"	0.0465787
pecan	0.046373
chilies	0.0463
anchovy	0.046049
enchilada	0.0457792
"Kentucky Fried Chicken"	0.0457177
"bean sprout"	0.045682
"tomato sauce"	0.0443381
cornbread	0.0443373
"soy sauce"	0.0440224
"celery seed"	0.0439825
custard	0.0439287
okra	0.0439117
one-half	0.043838
lentil	0.0436315
anise	0.043603
flavoring	0.04356
"sesame oil"	0.0433577
"blue cheese"	0.043164
"pine nut"	0.0430843
"tomato juice"	0.0429514
"about @ cup"	0.0427365
verbena	0.042715
"vanilla bean"	0.0427009
blackberry	0.0425441
meatball	0.0424306
"hoisin sauce"	0.0415418
ricotta	0.0414712
matzoh	0.0411655
chanterelle	0.0411215
POTATOES	0.0411168
Mojo	0.0409914
"passion fruit"	0.0409693
Kale	0.0407996
chowder	0.0407627
toffee	0.0407049
))
("Chipper Jones" (desc 15149.2) (sims
"Andruw Jones"	0.349695
"Brian Jordan"	0.298808
"Javy Lopez"	0.28096
"Ryan Klesko"	0.276973
"Eddie Perez"	0.257282
"Gerald Williams"	0.251119
"Andres Galarraga"	0.246052
"Walt Weiss"	0.238085
"Bret Boone"	0.231087
Alfonzo	0.229982
"Scott Rolen"	0.22867
"Edgardo Alfonzo"	0.224328
"Troy Glaus"	0.224225
"Scott Brosius"	0.223093
"Quilvio Veras"	0.223029
"Keith Lockhart"	0.220469
"Tino Martinez"	0.213177
"Ken Caminiti"	0.208927
"Nomar Garciaparra"	0.206841
"Jay Bell"	0.205723
"David Bell"	0.204991
"Jose Hernandez"	0.204275
Olerud	0.203084
Karros	0.202651
"John Valentin"	0.201734
"John Olerud"	0.198565
"Jeff Bagwell"	0.195373
"Matt Williams"	0.19519
"Ozzie Guillen"	0.192257
"Fred McGriff"	0.189317
"Phil Nevin"	0.187479
"Chuck Knoblauch"	0.186782
"Eric Karros"	0.184872
"Bernie Williams"	0.184773
"Otis Nixon"	0.183717
Garciaparra	0.183002
"Robin Ventura"	0.182763
Klesko	0.182391
"Jeff Kent"	0.181029
"Garret Anderson"	0.180618
"Jorge Posada"	0.180546
"Rafael Palmeiro"	0.179397
Jeter	0.17848
"Jim Thome"	0.176555
"Tim Salmon"	0.175987
"Mike Piazza"	0.175406
"Michael Tucker"	0.174473
"Derek Jeter"	0.174396
Valentin	0.172737
"Todd Zeile"	0.172414
"Mike Stanley"	0.171494
"Dante Bichette"	0.169754
"Jose Offerman"	0.169652
Glaus	0.168716
"Paul O'Neill"	0.168124
"Alex Rodriguez"	0.167334
"Ivan Rodriguez"	0.167153
Rolen	0.166957
"Tony Batista"	0.16633
"Todd Helton"	0.165839
"Vinny Castilla"	0.165639
"Adrian Beltre"	0.165388
"Jason Giambi"	0.165042
Bagwell	0.164737
"Reggie Sanders"	0.164308
"Gary Sheffield"	0.163592
"Mark Grace"	0.163306
Brosius	0.163086
"Travis Fryman"	0.163004
Erstad	0.16223
"Craig Biggio"	0.162144
"Vladimir Guerrero"	0.161685
"Barry Bonds"	0.161523
"Derek Bell"	0.161307
"Mark Grudzielanek"	0.161253
Vaughn	0.160412
"Luis Gonzalez"	0.159684
Vidro	0.159512
"Jeff Cirillo"	0.158648
"Matt Stairs"	0.158216
"Carl Everett"	0.157996
Piazza	0.157815
"Mike Sweeney"	0.15707
"Jim Leyritz"	0.15589
"Paul Konerko"	0.155888
"Dean Palmer"	0.154906
"Ray Durham"	0.154504
"Tim Bogar"	0.153495
Galarraga	0.153368
"Darin Erstad"	0.152861
Zeile	0.152487
"Kevin Millwood"	0.152351
"Desi Relaford"	0.151044
"Russ Davis"	0.150726
Fullmer	0.150253
Cirillo	0.150247
"Warren Morris"	0.149359
"Juan Gonzalez"	0.148127
Palmeiro	0.146749
"Eric Chavez"	0.146513
"Troy O'Leary"	0.146355
"Mark McLemore"	0.146145
"Kevin Young"	0.14547
"Bill Mueller"	0.145354
"Marvin Benard"	0.14515
"Travis Lee"	0.144998
"Greg Vaughn"	0.144695
"Scott Spiezio"	0.143929
"Jason Varitek"	0.143744
Lankford	0.143724
"Eric Owens"	0.143723
"Jim Edmonds"	0.143374
"Bill Spiers"	0.14332
"Wally Joyner"	0.143169
"Ron Coomer"	0.142909
"Trot Nixon"	0.142848
"Barry Larkin"	0.142744
"Mark Loretta"	0.142734
"Frank Thomas"	0.14248
Knoblauch	0.142281
Bordick	0.142102
"Jay Buhner"	0.142052
"Matt Franco"	0.141312
"Moises Alou"	0.140944
"Carlos Delgado"	0.140734
"Rusty Greer"	0.140222
"Russ Johnson"	0.139847
"B.J Surhoff"	0.1398
"Benny Agbayani"	0.139725
"Jose Vidro"	0.138942
"Marquis Grissom"	0.137739
Boone	0.136962
"Kelly Stinnett"	0.136894
Beltre	0.136571
"Mike Lowell"	0.136347
"Adam Kennedy"	0.136258
"Darren Lewis"	0.136142
Daubach	0.135906
"Joe Randa"	0.13545
"Roberto Alomar"	0.135344
"Shawn Green"	0.134862
"Steve Finley"	0.134289
"Willie Greene"	0.13396
"Matt Lawton"	0.133817
"Omar Vizquel"	0.133507
"Brian Daubach"	0.13346
"Henry Rodriguez"	0.133312
"Pat Burrell"	0.133242
"David Segui"	0.133041
"Mike Bordick"	0.132875
"Tom Glavine"	0.132546
Thome	0.132484
"Derrek Lee"	0.13244
"Mo Vaughn"	0.132155
Millwood	0.1316
Guillen	0.131511
"Melvin Mora"	0.13148
"Cal Ripken"	0.131458
"Will Clark"	0.131275
"Manny Ramirez"	0.131186
"Tony Gwynn"	0.131122
"Luis Alicea"	0.130271
"Damian Miller"	0.13016
"Tony Eusebio"	0.129413
"Chili Davis"	0.12929
"Andy Fox"	0.12882
"Devon White"	0.128741
"Todd Hundley"	0.128576
Rodriguez	0.128563
"Carlos Lee"	0.1279
"Edgar Martinez"	0.127894
"Geoff Jenkins"	0.127806
Offerman	0.127585
"Deivi Cruz"	0.127326
"Chad Curtis"	0.127227
"Jeff Conine"	0.126887
"Fernando Tatis"	0.126869
Griffey	0.126794
"Alex Gonzalez"	0.126414
"Jay Payton"	0.125994
"Mark Kotsay"	0.125561
"Bobby Higginson"	0.125269
"Larry Walker"	0.12502
"Rickey Henderson"	0.124981
"Mike Cameron"	0.124956
"Brian Hunter"	0.124906
"Ken Griffey Jr."	0.124864
Ordonez	0.12439
"Eric Young"	0.124348
Grudzielanek	0.124187
"Johnny Damon"	0.124033
Biggio	0.123733
"Rondell White"	0.123642
"Rafael Furcal"	0.123075
"Ricky Ledee"	0.122759
"Ruben Rivera"	0.122749
McGriff	0.122691
Batista	0.122681
Agbayani	0.122644
"David Ortiz"	0.122486
"Chris Widger"	0.122451
"Charles Johnson"	0.122329
Martinez	0.122319
Sosa	0.121898
"Dave Martinez"	0.121775
Alicea	0.121301
"Eddie Taubensee"	0.121212
"Mickey Morandini"	0.121178
"Sean Casey"	0.12074
"Richie Sexson"	0.120666
Burnitz	0.120261
Castilla	0.1201
"Danny Bautista"	0.120081
"Ed Sprague"	0.120058
"Kenny Lofton"	0.119776
Alomar	0.119391
"John Smoltz"	0.119044
"Herbert Perry"	0.11903
"Raul Mondesi"	0.118989
"Joe Girardi"	0.118973
"Preston Wilson"	0.118916
"Ron Gant"	0.11881
"Kevin Jordan"	0.118708
Ledee	0.118551
"Jose Guillen"	0.118537
Surhoff	0.11852
grieve	0.118514
"Jeromy Burnitz"	0.118439
"Jeffrey Hammonds"	0.118302
"Rich Aurilia"	0.118171
Spiers	0.118083
Tatis	0.118022
"Delino DeShields"	0.118011
"Bobby Bonilla"	0.117813
"Neifi Perez"	0.117811
Giambi	0.117617
Velarde	0.117512
Veras	0.117458
"Royce Clayton"	0.117365
Renteria	0.117126
"Ben Grieve"	0.116998
"Randy Velarde"	0.116971
Randa	0.116565
"Sammy Sosa"	0.116403
"Dmitri Young"	0.116389
"J.T Snow"	0.11608
Gonzalez	0.115863
Caminiti	0.115854
Aurilia	0.115506
"Bubba Trammell"	0.1154
"Glenallen Hill"	0.115214
Segui	0.115203
Higginson	0.115091
"Orlando Palmeiro"	0.114867
"Pat Meares"	0.114758
"Brad Fullmer"	0.114736
"Todd Pratt"	0.114659
"Richard Hidalgo"	0.114455
Varitek	0.11434
"Corey Koskie"	0.114297
Helton	0.114155
"Mike Lamb"	0.114153
"John Vander Wal"	0.114118
Abreu	0.113752
"Damian Jackson"	0.113638
"Enrique Wilson"	0.113567
Hidalgo	0.113514
"Cristian Guzman"	0.113288
"Luis Castillo"	0.113022
"Aaron Boone"	0.113021
"Magglio Ordonez"	0.112662
Lopez	0.112515
"Mark McGwire"	0.112223
Delgado	0.112063
"Bruce Aven"	0.111977
McGwire	0.111662
"Greg Maddux"	0.111247
Canseco	0.110799
"Tony Graffanino"	0.11034
"Lance Berkman"	0.110339
"Mike Lansing"	0.110223
"Jason Kendall"	0.110039
"Brian Giles"	0.109847
"Bobby Abreu"	0.109839
"Miguel Tejada"	0.109807
Hatteberg	0.109353
Vizquel	0.108283
"Kerry Ligtenberg"	0.108038
"Edgar Renteria"	0.107811
"Miguel Cairo"	0.107781
Nevin	0.107479
Larkin	0.107421
"Jose Canseco"	0.107412
batter	0.107191
Glanville	0.107172
"Doug Glanville"	0.107055
"Stan Javier"	0.107028
Frye	0.106989
Sheffield	0.106281
"Tom Goodwin"	0.106175
"Lee Stevens"	0.106154
"Craig Counsell"	0.105964
"Dave Hansen"	0.105537
"Rey Ordonez"	0.105518
Kapler	0.105405
Sexson	0.105255
"Tony Womack"	0.104282
"Mike Lieberthal"	0.10386
Catalanotto	0.103325
Bichette	0.103262
"Tony Clark"	0.103199
"Lenny Harris"	0.103185
Lieberthal	0.103125
"John Mabry"	0.10279
Leyritz	0.102695
Ramirez	0.10264
"Kevin Stocker"	0.102261
"Greg Myers"	0.102093
Cedeno	0.102093
"Cliff Floyd"	0.102064
"Al Martin"	0.102034
Beltran	0.101907
"Manny Alexander"	0.101737
"Carlos Beltran"	0.101625
"Paul Bako"	0.101516
"Kevin Elster"	0.10146
Fryman	0.101156
"Charlie Hayes"	0.10078
"Quinton McCracken"	0.100695
"Rico Brogna"	0.100286
"Greg Colbrunn"	0.100257
McLemore	0.10002
))
(chipping (desc 2476.5) (sims
dribbling	0.0833381
knocking	0.0719347
two-putted	0.0677943
scraping	0.0612163
popping	0.0590242
plowing	0.0582605
hauling	0.0570621
figuring	0.0563455
brushing	0.0547913
patching	0.0545464
ducking	0.0527695
tap-in	0.0522899
crawling	0.051378
mesclun	0.0513468
pulling	0.0511612
slicing	0.050248
snuck	0.0496733
humming	0.049443
"chip shot"	0.0483433
tuning	0.0480773
WTA	0.0480406
Fiset	0.0474531
"jumping up and down"	0.0467849
"putting green"	0.046629
"almost $@ million"	0.0462419
tapping	0.0462384
three-putted	0.0460193
thinning	0.0453109
one-timer	0.0449052
turbot	0.0448896
"Rob Blake"	0.0446491
wrister	0.0444433
grinding	0.0442599
Burnt	0.0440368
edging	0.0435637
"Steve Rucchin"	0.0434768
career-highs	0.04332
chewing	0.042942
"Georges Bank"	0.0427803
breakage	0.0424241
"Fred Brathwaite"	0.0417835
sweating	0.0417062
washing	0.0416877
sprouting	0.0414979
"Di Canio"	0.0412838
leveling	0.0412583
banging	0.0409625
striptease	0.0408819
pirouette	0.0408581
surfacing	0.0401182
"Briana Scurry"	0.0400616
))
(Chiquita (desc 3496.21) (sims
Shattuck	0.107732
"Food Lion"	0.102028
"P&AMP;G"	0.0972775
Kroger	0.0919211
"Pacific Lumber"	0.0901271
All-Tech	0.0898374
MiniMed	0.0887499
"PG&AMP;E"	0.0885615
Cadbury	0.0871127
TYCO	0.0850501
"New York Civil Liberties Union"	0.0840568
MetLife	0.0838327
"Pac Bell"	0.0812622
EEOC	0.0806106
"Con Ed"	0.0799241
ARCO	0.077446
NCR	0.0756009
AlliedSignal	0.0753504
Generali	0.0738805
Nikko	0.0733972
Heinz	0.0730901
ENTERGY	0.0724078
CCE	0.0722795
Scientific-Atlanta	0.0722213
JAL	0.0720821
RJR	0.0714659
ADM	0.0713753
"Cadbury Schweppes"	0.0712803
Humana	0.0711007
ACLU	0.0708066
Sunbeam	0.0690134
Loral	0.0688547
SGI	0.0688098
"RJR Nabisco"	0.0685799
ExciteAtHome	0.0684411
Halliburton	0.068327
"Consolidated Edison"	0.0683216
GTE	0.0680535
"HBO &AMP; Co."	0.0676708
Hambrecht	0.0675703
Comair	0.0673907
Pitney	0.0672301
Seagate	0.0667912
UTC	0.066661
"American Home"	0.0662119
"Coca Cola"	0.0656253
"steel company"	0.0652371
Honeywell	0.0650857
TWA	0.0646823
"Bear Stearns"	0.0646449
GANNETT	0.0645418
Sibneft	0.0644824
"Boys Ranch"	0.0642336
Pairgain	0.0640967
CCA	0.0635025
CUC	0.0632598
"U S West"	0.0626836
"State Farm"	0.062441
VENATOR	0.0624167
"Chronicle Publishing"	0.0623138
Aetna	0.062213
Federated	0.0621309
Ciena	0.0620428
Yamaichi	0.0619853
BofA	0.0616881
Ge	0.0615812
"Coca-Cola Enterprises"	0.0614716
CSX	0.0612575
NORTHROP	0.0612493
Verizon	0.0611812
PLDT	0.0611744
ACOG	0.0610893
"power company"	0.0610316
PBA	0.0609857
Dana-Farber	0.0609634
Overnite	0.0609002
"J&AMP;J"	0.0606537
"Xerox Corp."	0.0606143
Livent	0.0605048
"Coca-Cola Co."	0.0604781
Gazprom	0.0604394
GoTo.com	0.0603198
"Koch Industries"	0.0601182
Pepsico	0.0601157
"Georgia Power"	0.0600995
Raytheon	0.0598669
Bridgestone	0.0597233
UC	0.059589
"Phelps Dodge"	0.0595703
"Morgan Stanley"	0.0593742
Cablevision	0.0592903
"Computer Associates"	0.0591702
Fenton	0.0588336
"Pacific Bell"	0.0585147
RealNetworks	0.0584669
Datek	0.0584624
Intergraph	0.0583638
NTRA	0.0583198
Warner-Lambert	0.0582015
SAFY	0.0581079
"Sara Lee"	0.0580508
Lilco	0.057922
Fedex	0.0579064
"Bank of New York"	0.0579046
CNPC	0.0577869
Primedia	0.0576903
USEC	0.0576866
Kulikov	0.0576311
BBDO	0.0576172
Terra	0.0573039
"Legal Aid Society"	0.0572692
Albertson's	0.0572303
"Ocean Spray"	0.0571006
"First Union"	0.0570601
"Niagara Mohawk"	0.0568963
Alltel	0.0564805
CNOOC	0.0564669
Nextel	0.0564607
iXL	0.0563544
Peapod	0.0561962
PaineWebber	0.0561381
Roberds	0.0561015
ICI	0.0560826
BIA	0.0560296
"Hollywood studio"	0.0559867
Allstate	0.0559633
Ameritech	0.0559471
"Bell Atlantic"	0.0559416
SabreTech	0.0558793
"hush money"	0.0558486
"Nippon Credit"	0.0558194
"Salt Lake Organizing Committee"	0.0557111
"bus company"	0.0556779
Nortel	0.0554374
Coca-Cola	0.0553251
Avis	0.0553012
MTA	0.0552514
"France Telecom"	0.0551192
IAI	0.0549983
"securities industry"	0.0549689
Nabisco	0.054941
"De Beers"	0.0549073
Mazda	0.0547868
VISTEON	0.0546626
RIAA	0.0546133
USOC	0.0545528
"GE Capital"	0.0545451
MCI	0.0544947
Nomura	0.0544869
Sumitomo	0.0544605
KPMG	0.0544391
Litton	0.0544163
LTCB	0.0543071
Telmex	0.0542946
Belo	0.0542539
Chris-Craft	0.0540927
"Fannie Mae"	0.0540624
AIG	0.0540577
Glock	0.0540249
REVLON	0.0540085
"Pitney Bowes"	0.0539846
Checkfree	0.0539409
Mattel	0.0539025
Mastercard	0.0538044
"Defense Agency"	0.053751
CellPro	0.0536997
Comsat	0.0532315
Chrysler	0.0532061
Merrill	0.0529125
Delphi	0.0528785
NiSource	0.0528671
baring	0.0528614
Compaq	0.0527869
Konka	0.0527745
Loewen	0.0525052
"Microsoft Corp."	0.0524942
Ahold	0.0524891
Dresdner	0.0524432
"Time Warner"	0.0524288
SBC	0.0523324
Televisa	0.0522455
AHP	0.0521596
Bestfoods	0.0520977
UPI	0.0520969
Bertelsmann	0.051964
"American Red Cross"	0.0519138
"Union Pacific"	0.0519129
Iomega	0.0518851
BankAmerica	0.0518074
Providian	0.051778
Yukos	0.0517174
Maytag	0.0516997
Natale	0.0516656
NTT	0.0516039
"Learning Co."	0.0515758
Enquirer	0.0515155
MBNA	0.0513978
Starwood	0.0512361
CMG	0.050956
Asarco	0.0509554
))
(Chirac (desc 18756) (sims
Mubarak	0.239777
Jospin	0.23961
Jiang	0.213178
Mandela	0.211674
Demirel	0.211477
Zhu	0.209809
Hashimoto	0.203615
Blair	0.202142
Albright	0.201505
Mkapa	0.201279
Moi	0.198625
Arafat	0.197944
Vajpayee	0.196791
Menem	0.195828
Schroeder	0.19521
Nazarbayev	0.193382
Nujoma	0.193262
Mbeki	0.192594
Annan	0.19048
Lukashenko	0.190153
Gaddafi	0.189968
Yeltsin	0.18902
Primakov	0.186695
Kuchma	0.184954
Qian	0.184674
Chretien	0.182767
Museveni	0.182326
Prodi	0.182246
Goh	0.18224
Solana	0.182152
Aziz	0.181719
Clerides	0.179578
Simitis	0.179249
Chissano	0.17869
Mugabe	0.175944
Kinkel	0.175941
"Lionel Jospin"	0.175188
Vedrine	0.175011
Moussa	0.174879
Aznar	0.174116
Santer	0.172873
al-Assad	0.170603
"Atal Bihari Vajpayee"	0.170489
Kharrazi	0.170486
Stoyanov	0.170359
Phieu	0.170212
"Tony Blair"	0.170114
Ahern	0.170099
Putin	0.17007
Hasina	0.169962
Pangalos	0.169555
Dini	0.169295
Chiluba	0.167888
Sharif	0.167863
Weizman	0.166524
Velayati	0.165564
Obuchi	0.165454
Lahoud	0.165214
Kohl	0.164935
"de Charette"	0.164876
Constantinescu	0.164159
Wahid	0.163936
Hariri	0.1638
Cem	0.163086
Ivanov	0.163028
Camdessus	0.161845
"Li Peng"	0.161496
Chuan	0.160297
Assad	0.160214
Peres	0.160049
D'Alema	0.158789
Frei	0.158699
Mahathir	0.156947
Khatami	0.156783
Tung	0.156727
Netanyahu	0.155754
Fischer	0.15566
Komura	0.155601
Estrada	0.15559
"Jean Chretien"	0.155165
Rakhmonov	0.154523
Shareh	0.154449
Ecevit	0.154428
Kwasniewski	0.154047
Ikeda	0.153355
Karimov	0.153144
"President Kim Dae-jung"	0.152957
"Kofi Annan"	0.152351
Scalfaro	0.152272
Wolfensohn	0.151664
"Romano Prodi"	0.15045
"Keizo Obuchi"	0.150303
Zedillo	0.149298
"Binyamin Netanyahu"	0.14922
"Benjamin Netanyahu"	0.148819
Abdullah	0.148033
Kok	0.147557
"Ehud Barak"	0.147443
Barak	0.146943
Sergeyev	0.146815
Chernomyrdin	0.14667
"William Cohen"	0.146585
Chavalit	0.14646
"Sheikh Hasina"	0.145909
"Jose Maria Aznar"	0.145853
al-Bashir	0.145011
"Ryutaro Hashimoto"	0.14478
"Goh Chok Tong"	0.144193
Cohen	0.144193
Talbott	0.143674
Habibie	0.143446
Luong	0.14342
"Nawaz Sharif"	0.143409
Qiao	0.142915
Juppe	0.142478
"Javier Solana"	0.141701
Mordechai	0.141556
Chancellor	0.141133
Guterres	0.14046
Meles	0.140434
Saleh	0.140421
Kim	0.140093
"Mesut Yilmaz"	0.139776
Yilmaz	0.139721
Khaddam	0.138594
"Costas Simitis"	0.138243
Rafsanjani	0.138194
"Jacques Chirac"	0.138059
"Bulent Ecevit"	0.137372
"Than Shwe"	0.136983
Moratinos	0.136976
Lipponen	0.136849
Ahtisaari	0.136737
Li	0.135989
Abubakar	0.135544
Deuba	0.135469
"King Hussein"	0.135455
"Chuan Leekpai"	0.13544
Herzog	0.135216
"Jiang Zemin"	0.135079
Pastrana	0.134964
Jayakumar	0.134771
Ogata	0.134162
"Mahathir Mohamad"	0.13406
"John Howard"	0.134027
Hu	0.13367
Rifkind	0.13365
Premier	0.133065
Klestil	0.13299
"secretary of state"	0.132878
al-Sharaa	0.13225
al-Sahhaf	0.131372
Gujral	0.131275
"John Major"	0.13111
Muluzi	0.130608
Denktash	0.130418
Klima	0.130403
Niyazov	0.130288
Bouteflika	0.129859
Bashir	0.129808
Zeroual	0.129696
Zou	0.129462
Barshefsky	0.129282
Kabariti	0.129013
"Yevgeny Primakov"	0.128774
Kasoulides	0.128595
Shevardnadze	0.128308
Clinton	0.127751
Akayev	0.127557
"Necmettin Erbakan"	0.127189
"foreign minister"	0.126606
Kiriyenko	0.126543
Alatas	0.126225
Nzo	0.126213
Kumaratunga	0.125685
"Hun Sen"	0.12508
Erbakan	0.125066
"Dos Santos"	0.124598
Castro	0.124573
"Atal Behari Vajpayee"	0.123612
Azad	0.123583
Khamenei	0.123486
Cardoso	0.123312
"Bertie Ahern"	0.122589
Holbrooke	0.122423
"Yoshiro Mori"	0.122171
Ramos	0.121658
Abdel-Meguid	0.121545
Leghari	0.121346
Dehaene	0.120994
Boueiz	0.120852
Christopher	0.120812
"Zhu Rongji"	0.120676
Mori	0.120539
Gadhafi	0.120463
Narayanan	0.120415
Hrawi	0.120017
Axworthy	0.119847
Havel	0.119551
Ikimi	0.11928
"Jordanian King Hussein"	0.118992
Koo	0.118914
Khai	0.118249
Ruehe	0.117898
"head of state"	0.117455
Fujimori	0.117321
el-Ganzouri	0.117271
"King Abdullah"	0.117148
Lott	0.116872
Pustovoitenko	0.116658
Daley	0.116252
Obasanjo	0.116205
"Alain Juppe"	0.116059
tang	0.116037
"Boris Yeltsin"	0.115669
"King Fahd"	0.115248
Rugova	0.115236
Stroyev	0.114808
"Phan Van Khai"	0.114791
"Atef Obeid"	0.114762
Hassan	0.114602
Musharraf	0.114567
"Rafik Hariri"	0.114324
"Pope John Paul II"	0.114307
Granic	0.114028
Azizah	0.113856
Ganzouri	0.113783
"Inder Kumar Gujral"	0.113678
"William Perry"	0.113584
Berisha	0.113489
Schuessel	0.113442
"Frederick Sumaye"	0.113002
Kostov	0.11286
emir	0.11285
Surin	0.1127
Banharn	0.112581
"Chavalit Yongchaiyudh"	0.112223
Diouf	0.112071
Sumaye	0.111883
Luzhkov	0.11184
Sampaio	0.111757
"Viktor Chernomyrdin"	0.111722
Vasile	0.111502
Siazon	0.111223
Tsang	0.111089
Fu	0.111088
Stepashin	0.110817
"Deve Gowda"	0.110258
Rua	0.110142
Shipley	0.110082
Buzek	0.109873
Jovanovic	0.109804
"Secretary-General Boutros Boutros-Ghali"	0.109725
Vice-Premier	0.109325
minister	0.109148
Meguid	0.109132
"Meles Zenawi"	0.109109
"John Bruton"	0.109055
"Yasser Arafat"	0.108989
Downer	0.108826
"Prime Minister Kamal El-Ganzouri"	0.108823
Brahimi	0.10877
"Chief Executive Tung Chee-hwa"	0.108759
"John Paul"	0.108598
Vollebaek	0.108569
"Shimon Peres"	0.108569
"Salim Hoss"	0.108537
Pickering	0.10758
Samper	0.107198
Scharping	0.107131
Buthelezi	0.106928
Kabbah	0.106894
Berger	0.106837
Sihanouk	0.106706
Wu	0.106278
pontiff	0.10603
"Prime Minister Banharn Silpa-Archa"	0.105892
Rabbani	0.105758
Salim	0.105708
Blatter	0.105662
Zuma	0.105496
"Antonio Guterres"	0.105133
pope	0.10496
Majali	0.104957
Kabila	0.104749
Chen	0.104486
"Secretary General Esmat Abdul-Meguid"	0.104449
"Secretary General Esmat Abdel-Meguid"	0.10436
Samaranch	0.104214
"Arab League"	0.104034
Ross	0.103955
Berri	0.103637
Masire	0.103623
"Vo Van Kiet"	0.103602
Hastert	0.103488
"Suleyman Demirel"	0.10342
Milutinovic	0.10307
Boutros-Ghali	0.102904
Howard	0.102806
Zhirinovsky	0.102276
Nyerere	0.102248
Izetbegovic	0.102037
Bizimungu	0.102029
Kagame	0.101678
Bedie	0.101633
"Tariq Aziz"	0.101523
Tarawneh	0.101415
Insulza	0.101262
Lebed	0.101239
"finance minister"	0.1012
Brittan	0.101144
envoy	0.101069
Ben-Ami	0.101044
"Chea Sim"	0.100993
Zyuganov	0.100983
"Benazir Bhutto"	0.10097
"Pandeli Majko"	0.100845
"Jerzy Buzek"	0.100841
"Jordanian King Abdullah Bin Hussein"	0.100833
"Queen Elizabeth II"	0.10076
"De Soto"	0.10066
Daschle	0.10065
"Wim Kok"	0.100646
Buyoya	0.100635
"deputy foreign minister"	0.100635
Orban	0.100438
Rubin	0.100132
Hoss	0.100126
))
(Chiron (desc 2478.48) (sims
Biogen	0.286851
Genentech	0.242184
Amgen	0.227783
Genzyme	0.207115
"Thermo Electron"	0.164023
ALZA	0.161283
Novartis	0.160884
HBOC	0.158488
RJR	0.158301
UAL	0.157519
Gilead	0.157005
"Stride Rite"	0.156397
Tenneco	0.155268
McKesson	0.154233
Sepracor	0.153947
Glaxo	0.153838
Roche	0.153085
MiniMed	0.151879
WPP	0.150696
"J&AMP;J"	0.150353
TYCO	0.149844
NiSource	0.147534
Broadcom	0.146313
Ciena	0.146283
ascend	0.145604
"P&AMP;G"	0.145215
Monsanto	0.143618
Bristol-Myers	0.142907
Litton	0.141903
"Eli Lilly"	0.141106
Scientific-Atlanta	0.140341
SmithKline	0.138866
TKT	0.137159
ENTREMED	0.137095
Pfizer	0.134418
Pairgain	0.134149
Aegon	0.133336
Immunex	0.13312
XYLAN	0.133071
"Times Mirror"	0.133057
Halliburton	0.131259
ExciteAtHome	0.130916
Checkfree	0.130231
Pharmacia	0.129661
BASF	0.129497
"U.S. Trust"	0.129099
ENTERGY	0.128228
NatWest	0.127223
Weyerhaeuser	0.126994
Emulex	0.125853
Sunbeam	0.124731
AMR	0.12452
AHP	0.123014
COLTEC	0.122879
"True North"	0.122172
Informix	0.122129
NORTHROP	0.121785
Asda	0.121552
Aetna	0.120362
"Niagara Mohawk"	0.118981
VENATOR	0.118834
"Y&AMP;R"	0.11838
"Waste Management"	0.118372
Nortel	0.117763
"Phelps Dodge"	0.117646
Merck	0.117637
Warner-Lambert	0.11763
"RJR Nabisco"	0.116769
Medtronic	0.116634
Starwood	0.115923
CCE	0.115348
EMC	0.115111
"Knight Ridder"	0.114982
"National Grid"	0.114379
Corning	0.114195
"Bausch &AMP; Lomb"	0.113007
Geron	0.112292
"U S West"	0.112159
"Union Carbide"	0.110995
AlliedSignal	0.110063
Humana	0.109569
Inktomi	0.109535
Pepsico	0.109529
Honeywell	0.109386
WorldCom	0.109215
"Rite Aid"	0.109154
"Times Co."	0.108937
ARCO	0.108897
Healtheon	0.108848
NTL	0.108617
Petrofina	0.10851
VoiceStream	0.107906
"Silicon Graphics"	0.107903
Clorox	0.107688
Danka	0.107549
Telefonica	0.107484
Bridgestone	0.107402
Hoechst	0.107292
AutoNation	0.107239
Viacom	0.106661
RAMBUS	0.106397
"Boston Scientific"	0.106301
Georgia-Pacific	0.105882
Bestfoods	0.105868
Alltel	0.105803
Lilly	0.105329
Seagram	0.105222
"HBO &AMP; Co."	0.105124
Gillette	0.105123
Totalfina	0.104865
"Johnson &AMP; Johnson"	0.104221
"American Home"	0.10404
GTE	0.103769
"Berkshire Hathaway"	0.103753
Fingerhut	0.103695
Providian	0.102401
IDT	0.102097
Vivendi	0.101961
Nestle	0.101354
REVLON	0.100768
Nabisco	0.100362
Raytheon	0.100347
oracle	0.0999655
Ameritech	0.0999583
SGI	0.099702
"National Semiconductor"	0.0996594
Mannesmann	0.0993332
Novell	0.0991243
AstraZeneca	0.0989958
"Cox Communications"	0.0989105
Avondale	0.0988788
"BP Amoco"	0.0988177
Cisco	0.098292
PLDT	0.0982503
E-LOAN	0.0981459
WebMD	0.0979875
Cendant	0.0978978
"Texas Instruments"	0.0976084
Autodesk	0.0975815
iXL	0.0975726
"Atlantic Richfield"	0.0975147
GANNETT	0.0974027
"Learning Co."	0.0972395
Stratus	0.0967631
Compaq	0.0967302
Priceline	0.0966811
"MCI WorldCom"	0.0965238
Conseco	0.0957743
Northpoint	0.0954264
Exxon	0.0953671
TELLABS	0.0953397
Zeneca	0.0953217
"First Union"	0.0951904
Comsat	0.0948446
SDL	0.0942609
"Advanced Micro"	0.0941824
Warnaco	0.0940276
Hasbro	0.0939039
BankAmerica	0.0938215
Deutsche	0.093776
Broadcast.com	0.0932821
SFX	0.0932348
"State Street"	0.093202
"Chronicle Publishing"	0.0929873
Astra	0.0928994
Mobil	0.0928718
BCE	0.0926784
GPU	0.0926227
Infoseek	0.0926162
"Sara Lee"	0.0924968
"Bank of Scotland"	0.0923625
Alcan	0.0920094
Rhone-Poulenc	0.0920073
"Pacific Century"	0.0919761
"United Technologies"	0.0917565
Motorola	0.0917351
Delphi	0.0916581
"Royal Bank"	0.0913622
Kodak	0.0912758
Webvan	0.0911667
Agilent	0.0908209
Seagate	0.0907896
YPF	0.0907119
sandpiper	0.0904584
Alcoa	0.0902862
Enron	0.0901034
Diageo	0.0900886
Dupont	0.0900799
Airtouch	0.0896312
CMGI	0.0895749
BankBoston	0.0895305
Broderbund	0.0894471
Qwest	0.0891978
Asarco	0.0891269
"Gap Inc."	0.0888376
Berkshire	0.0886689
ADM	0.0884216
Pitney	0.088388
"Bay Networks"	0.0882388
Omnicom	0.087712
))
(chiropractic (desc 1452.02) (sims
hypnosis	0.158733
acupuncture	0.149519
outpatient	0.131824
inpatient	0.122319
aromatherapy	0.117603
"physical therapy"	0.108369
lifesaving	0.106909
yoga	0.103947
detoxification	0.10022
accountancy	0.0980888
STD	0.0939348
facial	0.0909489
psychotherapy	0.0871219
"beauty parlor"	0.0824575
"mental health"	0.0817401
"alternative medicine"	0.0797322
placebo	0.0781433
Followup	0.0779637
Wellness	0.0752428
weight-loss	0.0742972
"liberal arts"	0.0733548
Chemo	0.0723427
TCM	0.0720674
infertility	0.071442
dialysis	0.0703137
incontinence	0.0698955
nursing	0.0689935
psoriasis	0.0664367
radiotherapy	0.0659796
radiology	0.0658141
radium	0.065461
hospice	0.0649174
fertility	0.0647181
methadone	0.0642549
LASIK	0.0639875
TPA	0.0629303
ICU	0.0626981
baldness	0.0621027
dentistry	0.0614191
geriatrics	0.0607743
hands-on	0.060601
polytechnic	0.0603748
"common cold"	0.057996
pedicure	0.0566024
epilepsy	0.0559517
"cosmetic surgery"	0.0558918
pep	0.0549864
dermatology	0.0548018
"rheumatoid arthritis"	0.0536358
heath	0.0535525
"skin care"	0.0534018
"early childhood"	0.0530453
"Orthodox Jewish"	0.0527873
"Medicare HMO"	0.0520581
"low quality"	0.0508032
eyewear	0.0498447
"adult education"	0.0497718
"Ivy League"	0.0496708
"veterinary medicine"	0.0494635
eight-week	0.0492891
fertilization	0.0492049
ultrasound	0.0481347
Cardiology	0.0479562
"American Jewish"	0.0479348
narcolepsy	0.047929
WOODWARD's	0.0476144
"internal medicine"	0.0474351
chiropractor	0.0474104
Herceptin	0.0471461
"plastic surgery"	0.0464109
"St. John's wort"	0.0461768
Quaker	0.0460683
va	0.0460097
"Ginkgo biloba"	0.0456332
AZT	0.0455344
angioplasty	0.0452462
maternity	0.0451668
hemophilia	0.0448112
Cr	0.0445607
darkroom	0.0442134
agronomy	0.0441628
prostate	0.0436672
Downstate	0.043622
gynecology	0.0430477
NHS	0.0427638
"afternoon tea"	0.0427331
"second class"	0.0423478
Qigong	0.0421797
ginkgo	0.0419503
CUNY	0.0419386
"State House"	0.0413612
"alcohol abuse"	0.0409853
glaucoma	0.040723
ten-day	0.0405713
acne	0.0404268
ADHD	0.0403835
psychiatry	0.0403797
"free love"	0.0401662
interferon	0.0400235
))
(chiropractor (desc 4685.51) (sims
nutritionist	0.147767
"physical therapist"	0.116685
dentist	0.114742
therapist	0.109307
dermatologist	0.108717
gynecologist	0.104952
psychologist	0.101101
ethicists	0.099639
"real estate agent"	0.0986236
pharmacist	0.0982688
acupuncturist	0.0978387
herbalist	0.0955611
internist	0.0935812
masseuse	0.092221
"registered nurse"	0.0915106
surgeon	0.0915098
clinician	0.0899663
"plastic surgeon"	0.0896548
pediatrician	0.0882534
neurologist	0.0878656
obstetrician	0.085856
physician	0.0855128
psychiatrist	0.085484
"social worker"	0.083492
orthodontist	0.0826709
cardiologist	0.0810764
"health professional"	0.0806955
"police lieutenant"	0.0806339
veterinarian	0.0798107
optometrist	0.0782321
anesthesiologist	0.0781146
podiatrist	0.0775584
radiologist	0.077464
psychoanalyst	0.0770253
"foster mother"	0.0766858
"real estate broker"	0.0759339
stockbroker	0.0755369
"literary agent"	0.0746078
"health care provider"	0.0729471
dietitian	0.0725736
"car dealer"	0.0725081
hairdresser	0.0722293
"medical specialist"	0.0720876
paramedic	0.0711061
midwife	0.0690685
medic	0.0676787
"clinical psychologist"	0.0675658
"police sergeant"	0.066667
"certified public accountant"	0.0661891
"dry cleaner"	0.0656723
hypnosis	0.0648105
oncologist	0.0643815
masseur	0.0641881
plumber	0.0635737
"school teacher"	0.0634407
"general practitioner"	0.0631773
"eye doctor"	0.0628983
councilwoman	0.0628845
"interior designer"	0.0621181
counselor	0.0619598
accountant	0.0616285
psychotherapist	0.0613858
Pharmacy	0.0612186
"nursing home"	0.0610598
"family doctor"	0.0602977
"real estate developer"	0.06019
educator	0.0600261
ophthalmologist	0.0597824
"divorce lawyer"	0.0593454
"business executive"	0.0591579
epidemiologist	0.0589406
"press agent"	0.0588126
"AIDS activist"	0.058134
practitioner	0.0580016
"electrical engineer"	0.057584
"fashion model"	0.0574438
Realtor	0.0574165
schoolteacher	0.0573487
"Navy Seal"	0.0567728
"management consultant"	0.0563898
bookkeeper	0.0563893
stuntman	0.0560778
"beauty parlor"	0.0560166
bricklayer	0.055997
steelworker	0.0559465
CPA	0.0556088
paralegal	0.0555817
"police captain"	0.0548442
restaurateur	0.0548116
nanny	0.0547779
"management expert"	0.0547283
jurist	0.0546675
criminologists	0.0540142
"medical student"	0.0537793
"Print Shop"	0.0536827
ethicist	0.0534475
hairstylist	0.0534189
"guardian angel"	0.0533354
"police detective"	0.0531983
vet	0.0531864
caterer	0.0528328
"civil engineer"	0.0526144
"insurance agent"	0.0526041
bookie	0.052594
"advertising agency"	0.0522905
healer	0.0522554
"Lewis Yocum"	0.0521334
"labor leader"	0.0520222
"math teacher"	0.0518396
"science teacher"	0.0516662
Litigator	0.0514619
homemaker	0.0513264
"Boutros Boutros Ghali"	0.0513083
"venture capitalist"	0.0512027
orthopedist	0.0511111
"travel agent"	0.0509765
"heart surgeon"	0.0509509
"computer programmer"	0.0507666
"fire chief"	0.0507404
"software engineer"	0.0506791
beautician	0.050331
"medical institution"	0.0500872
botanist	0.0496961
"foster child"	0.0494561
drugstore	0.0493944
"civic leader"	0.0493272
"baseball coach"	0.0493123
"faculty member"	0.0489708
immunologist	0.0489118
seamstress	0.048858
tutor	0.0487237
clergyman	0.0485829
"temporary worker"	0.0481349
geophysicist	0.0480954
"Secretary of Commerce"	0.0480825
"foster home"	0.0480256
"private investigator"	0.047897
"abortion clinic"	0.0477061
cabinetmaker	0.0476572
Barber	0.0476167
"home builder"	0.0476002
"naval officer"	0.0475955
"dairy farmer"	0.0475752
"brokerage house"	0.0474874
major-leaguers	0.0474418
chiropractic	0.0474104
roofer	0.0472563
confidante	0.0472198
"medical practitioner"	0.0471985
Mormon	0.0471473
biologist	0.0470445
"computer expert"	0.046905
electrician	0.0467983
"social scientist"	0.0467716
"art dealer"	0.0466764
Mozambican	0.0465922
"trade unionist"	0.0465594
Virginian	0.0464761
forester	0.0462883
enlistee	0.0461792
landscaper	0.0460968
translator	0.0460017
pharmacologist	0.0458472
illegals	0.0456363
urologist	0.0455927
fireman	0.0455451
"business establishment"	0.0454128
philanthropist	0.0453931
rancher	0.0453758
grocer	0.045371
notary	0.0451984
cabdriver	0.0450937
"investment banker"	0.0450917
"state senator"	0.0450169
"law student"	0.0449027
"trial lawyer"	0.0448794
"intelligence analyst"	0.0448466
"newspaper publisher"	0.0446952
"work camp"	0.0446744
"altar boy"	0.0445196
"corporate executive"	0.0444965
physiologist	0.0443568
jeweler	0.044315
"bus driver"	0.0442927
D.A.	0.0442591
parolee	0.0442479
spas	0.0441618
"truck driver"	0.0441182
businesspeople	0.0439996
"brigadier general"	0.0439064
policeman	0.0438785
businesswomen	0.0438241
"union representative"	0.0437084
"English teacher"	0.0437004
appraiser	0.0436719
"television reporter"	0.0435541
sportscaster	0.0435426
housekeeper	0.0434467
"district attorney"	0.0433152
nightspot	0.0432939
))
(chisel (desc 3711.15) (sims
screwdriver	0.147946
"putty knife"	0.146802
crowbar	0.127426
mallet	0.102151
knife	0.0989114
pliers	0.0974502
sickle	0.0959578
scraper	0.0919883
ax	0.0877613
"paring knife"	0.0854321
shovel	0.0847443
anvil	0.0833229
machete	0.0787722
wrench	0.0780022
scalpel	0.0776595
"rolling pin"	0.0773319
"hand tool"	0.0746931
trowel	0.074198
chainsaw	0.0738804
spatula	0.0738494
spade	0.0724889
paintbrush	0.0721104
scissors	0.0710018
"power tool"	0.0706908
Hoe	0.0700735
"chain saw"	0.0699029
"razor blade"	0.0693904
blade	0.0684895
Cleaver	0.068176
pickax	0.0660065
arrowhead	0.0644793
splitter	0.0633691
tongs	0.0627189
generics	0.0623135
jackhammer	0.0607587
hatchet	0.0607585
chopstick	0.0591718
"fishing rod"	0.0588192
forefinger	0.057432
"hypodermic needle"	0.0570657
dagger	0.0569859
flashlight	0.0568388
cladding	0.0568229
sander	0.0562975
Occidental	0.0557655
grater	0.0553973
broom	0.0550993
clicker	0.0546451
rod	0.0536423
sword	0.0523156
hyphen	0.0521677
nozzle	0.0509478
"hard hat"	0.0507544
"breaking ball"	0.0507114
router	0.0505193
spear	0.0502932
winch	0.0501952
slingshot	0.0500839
projectile	0.0492224
"walking stick"	0.0486691
"toilet seat"	0.0485391
shredders	0.0485094
stylus	0.0483375
tweezer	0.0482996
peeler	0.0481216
pistol	0.0473557
"fire hose"	0.0471382
"two fingers"	0.0469214
"Chevrolet Monte Carlo"	0.0466671
plunger	0.0466476
earpiece	0.0462379
"window frame"	0.0458234
suture	0.045669
needle	0.0456565
seaweed	0.0456273
adhesive	0.0456011
hose	0.0454223
"piece of cloth"	0.0452106
excavator	0.0450311
"canned goods"	0.0449917
bends	0.0449439
punchline	0.0447845
grinder	0.0447388
digger	0.0446578
AK-@@	0.0446556
"lawn mower"	0.0440325
irons	0.0436514
swab	0.0434841
Towns	0.0434389
"surgical instrument"	0.043338
"paper cup"	0.0432513
"hand-held computer"	0.0431961
backboard	0.0429548
"coffee pot"	0.0425212
easel	0.0424678
cudgel	0.0424675
flamethrower	0.0422796
endoscope	0.0421226
"sense of smell"	0.0420507
bayonet	0.0420061
"hunting knife"	0.0419066
forklift	0.0418704
"free association"	0.0418609
catheter	0.0416224
coil	0.0413507
slider	0.0411563
"sheet of paper"	0.0410899
semicolon	0.0410649
"laser beam"	0.0409411
defibrillator	0.0409295
pitchfork	0.0409036
curveball	0.0407909
"tape measure"	0.0407433
eraser	0.0405137
chopper	0.0403925
"memory chip"	0.0402084
"cutting board"	0.0401418
"Yancey Thigpen"	0.0400921
sealer	0.0400917
))
(Chisinau (desc 1565.58) (sims
Moroni	0.249771
Vilnius	0.234616
Yerevan	0.231275
Asuncion	0.22975
Tbilisi	0.229558
Astana	0.225254
Gaborone	0.221794
Windhoek	0.207707
Bamako	0.206237
Bishkek	0.203524
Ashkhabad	0.202445
Bangui	0.201313
Mbabane	0.196798
Vladikavkaz	0.187502
Dushanbe	0.186478
BRATISLAVA	0.184967
"Port Moresby"	0.178925
Tashkent	0.17298
Skopje	0.169228
Ljubljana	0.167906
Podgorica	0.167855
Accra	0.166584
"La Paz"	0.165784
Bujumbura	0.165181
Chennai	0.164182
Minsk	0.162849
Lucknow	0.161878
"San Salvador"	0.160028
Jayapura	0.159332
MANAMA	0.157466
Asmara	0.15707
Tallinn	0.150933
Abidjan	0.148962
Monrovia	0.147449
Muscat	0.146232
Rabat	0.145979
PATNA	0.143326
Kigali	0.142115
Hyderabad	0.141126
Ndola	0.140375
Maseru	0.139435
Reykjavik	0.138441
Doha	0.138406
Srinagar	0.138109
Baku	0.13804
Conakry	0.137832
Suva	0.137229
"Santo Domingo"	0.13697
Yaounde	0.136616
Vientiane	0.135746
Riyadh	0.135246
Tripoli	0.135202
Bern	0.130201
Manado	0.12931
Lome	0.129144
Bissau	0.128181
SANAA	0.127947
"Guatemala City"	0.12753
Honiara	0.127011
Kupang	0.126777
Brazzaville	0.125726
Belfast	0.125574
Pretoria	0.124096
Yinchuan	0.123909
Charikar	0.123806
Kuching	0.123734
Peshawar	0.123612
BLANTYRE	0.123415
Bangalore	0.122581
Merida	0.121124
Taloqan	0.120742
BUCHAREST	0.120296
Lubumbashi	0.118974
"Ulan Bator"	0.11859
KIEV	0.117616
Oslo	0.11679
Luanda	0.116636
ZAGREB	0.11501
Libreville	0.114975
MAPUTO	0.114186
Dili	0.112993
"Addis Ababa"	0.110717
Kinshasa	0.110486
Sarajevo	0.110384
Khartoum	0.109755
Algiers	0.109528
Kabul	0.109421
HARARE	0.109413
Lusaka	0.108466
Port-au-Prince	0.108251
Makhachkala	0.10741
Quito	0.106263
BRASILIA	0.10586
NICOSIA	0.10568
KAMPALA	0.105464
Medan	0.10542
Abuja	0.105351
Jalalabad	0.105121
Basle	0.105109
CARACAS	0.104842
Ouagadougou	0.104267
Islamabad	0.103753
Prague	0.102861
TEGUCIGALPA	0.102544
"Abu Dhabi"	0.102485
Freetown	0.101661
Dakar	0.100866
Denpasar	0.100412
Riga	0.100238
Cartagena	0.0999753
Ibadan	0.0998202
Surabaya	0.0996466
HANOI	0.0988117
Beira	0.0979102
"Albanian capital"	0.0978433
TIRANA	0.0974954
Jeddah	0.0973784
Shiraz	0.0970454
"Bandar Seri Begawan"	0.0970379
Wellington	0.0962308
Alma-Ata	0.0959867
Sapporo	0.0959681
Lahore	0.0950787
Kitwe	0.0948296
LISBON	0.0943044
Managua	0.0940098
Dodoma	0.0939841
Hohhot	0.0936427
Kandy	0.0934031
Amman	0.092715
"Banja Luka"	0.0921716
SOFIA	0.0920866
"ALMA ATA"	0.0917395
"Dar es Salaam"	0.0906053
Damascus	0.090484
Changsha	0.0903857
"Phnom Penh"	0.0896655
Mogadishu	0.0895999
Quetta	0.0895544
Almaty	0.0891111
"Cape Town"	0.0888631
Hefei	0.0884544
Kuito	0.0881717
Rostock	0.0880292
CHANGCHUN	0.0877759
Urumqi	0.0870014
Nagoya	0.0866938
Lima	0.086634
Durban	0.0863431
Calcutta	0.086287
Nanning	0.085993
Lhasa	0.0857559
Shenyang	0.0856909
BOGOTA	0.0854512
Medellin	0.0854412
Ambon	0.08519
Krasnoyarsk	0.0847455
Dublin	0.0841306
Nago	0.0837412
Vitoria	0.0834753
Goma	0.0829167
Lanzhou	0.0816647
Guiyang	0.0812746
Zurich	0.0809361
Duesseldorf	0.0807498
MELBOURNE	0.0806192
Haikou	0.0806085
TUNIS	0.0806024
PALERMO	0.0805786
Hangzhou	0.0804211
"Buenos Aires"	0.0800708
Zhengzhou	0.0800526
Ghent	0.0794185
Murmansk	0.0793697
Berne	0.0793022
Santiago	0.0788016
Karachi	0.0782995
Kandahar	0.0782189
Klagenfurt	0.0777362
Harbin	0.0777133
Bulawayo	0.0773819
Munich	0.0772306
MONTEVIDEO	0.0770746
CHENGDU	0.0770348
"San Sebastian"	0.0769733
PYONGYANG	0.0768111
Cochabamba	0.076745
Arusha	0.0766672
"Pulau Pinang"	0.0766208
Strasbourg	0.0763841
Xian	0.0763277
"Port Harcourt"	0.0762065
Perth	0.0761902
Kunming	0.0752133
Delhi	0.0748737
Taiyuan	0.0742727
Bandung	0.0740435
Cardiff	0.0739333
Auckland	0.0739079
"San Pedro Sula"	0.0737891
))
(Chissano (desc 3233.81) (sims
Mkapa	0.31452
Guterres	0.295891
Velayati	0.286775
Nujoma	0.274808
Stoyanov	0.264175
Constantinescu	0.263566
Nazarbayev	0.262977
Zou	0.255543
Phieu	0.250837
Kasoulides	0.247552
Ikimi	0.244257
Meguid	0.234867
Rifkind	0.233145
Goh	0.232012
Nzo	0.229678
Jayakumar	0.229557
Diouf	0.228139
Sumaye	0.227415
Wolfensohn	0.226902
"de Charette"	0.226611
Ikeda	0.225483
Azad	0.224058
Museveni	0.223609
Rong	0.222734
Klima	0.222467
Akayev	0.220691
Ruehe	0.219629
Chiluba	0.216884
Kostov	0.215645
Abdel-Meguid	0.214704
Leghari	0.213684
Kharrazi	0.212066
Luong	0.209315
Scalfaro	0.208308
Mbeki	0.208142
Zeroual	0.207454
Klestil	0.207135
Jovanovic	0.205561
Frei	0.204627
Qiao	0.204263
Khai	0.201281
Lipponen	0.201122
Dini	0.200495
Saleh	0.2003
Muluzi	0.199288
Tsang	0.198083
Karimov	0.196636
Hu	0.193661
Granic	0.192501
Qian	0.191974
Niyazov	0.191831
Surin	0.1916
Brittan	0.190671
Komura	0.190021
Kumaratunga	0.189597
Pustovoitenko	0.189594
Deuba	0.189047
Ogata	0.186399
Majali	0.185367
Kwasniewski	0.184763
Narayanan	0.183874
Mugabe	0.183552
Insulza	0.182242
Menem	0.182128
Chavalit	0.181653
Siazon	0.181578
Tian	0.181434
Brundtland	0.181407
Moratinos	0.18091
Moi	0.180573
Santer	0.180502
Ahtisaari	0.180487
Camdessus	0.180233
wen	0.178709
Chirac	0.17869
Gurirab	0.178222
Buthelezi	0.178125
Hasina	0.177512
Sampaio	0.176373
Clerides	0.176026
Axworthy	0.17581
Zeng	0.17524
Dehaene	0.174582
Kabariti	0.173124
Moussa	0.173071
Pangalos	0.17301
Muoi	0.172733
Meles	0.171449
Juma	0.171288
Ganzouri	0.171248
Shevardnadze	0.170765
Orban	0.170317
Cem	0.169836
Alatas	0.169556
Shi	0.168382
Nateq-Nouri	0.166514
Rafsanjani	0.166039
Zuma	0.166014
Kagame	0.165776
Khaddam	0.165698
Kinkel	0.165377
Vollebaek	0.165349
Herzog	0.165101
Ivanov	0.164884
Rakhmonov	0.163083
Salim	0.162873
Vasile	0.162583
Kuchma	0.162347
"Than Shwe"	0.162165
Luo	0.162126
Juncker	0.162045
Hrawi	0.161497
Aznar	0.160902
Kok	0.160796
Stroyev	0.160192
Gaddafi	0.160121
Wahid	0.16009
Jia	0.160016
Fu	0.160003
Chi	0.159947
Demirel	0.159235
Boueiz	0.158712
Rau	0.158596
Mandela	0.158575
Ciampi	0.158571
Bruton	0.158165
Kyprianou	0.157939
Hariri	0.157571
Vedrine	0.15731
Koo	0.156984
Zhu	0.155915
Tung	0.155895
Shareh	0.154901
Bizimungu	0.15462
Izetbegovic	0.154557
Aziz	0.154333
Bouteflika	0.153562
Erbakan	0.152701
"Secretary General Esmat Abdul-Meguid"	0.152648
Jiang	0.152458
"Li Peng"	0.151972
Kono	0.150641
Mubarak	0.150514
Obasanjo	0.15032
"Lee Hsien Loong"	0.149419
Chretien	0.14923
"Ricardo Alarcon"	0.14822
Blatter	0.148183
"De Soto"	0.147697
"Dos Santos"	0.147521
Banharn	0.146783
Gowda	0.146079
Zhirinovsky	0.146052
Lahoud	0.145797
Chuan	0.145505
Gujral	0.145402
Rodionov	0.145369
Bellamy	0.145047
"Jiang Zemin"	0.144811
Hashimoto	0.144548
al-Sahaf	0.144026
Severino	0.143945
Estrada	0.143638
"Secretary General Esmat Abdel-Meguid"	0.143505
"Kim Yong Nam"	0.142808
Singson	0.142777
Brahimi	0.142739
Buzek	0.142394
Nebiolo	0.142313
Pickering	0.141602
Iliescu	0.141558
Malu	0.140689
Ghali	0.140537
Schuessel	0.140202
Cui	0.139627
"Maung Aye"	0.139431
Tarawneh	0.139171
Downer	0.138722
Garang	0.138335
Koehler	0.138199
Ramos	0.138143
Piot	0.137768
Solana	0.137695
Ahern	0.137473
"Li Ruihuan"	0.13731
Aliyev	0.13701
Simitis	0.136961
Hamad	0.136759
"Secretary-General Boutros Boutros-Ghali"	0.136422
Lukashenko	0.136397
Shipley	0.136287
Alarcon	0.13625
Prodi	0.13579
Buyoya	0.135706
Sergeyev	0.135586
Seleznyov	0.135489
Shamshad	0.135354
Weizman	0.135217
Juppe	0.135186
Bolger	0.134715
Ecevit	0.1345
Rawlings	0.134421
Aleman	0.133825
Koirala	0.133332
Holl	0.133244
Cardoso	0.132895
"Chavalit Yongchaiyudh"	0.132704
Talbott	0.132316
Xanana	0.132264
"Meles Zenawi"	0.131348
Wu	0.13104
Jospin	0.130827
Patasse	0.130767
Conte	0.130728
Husseini	0.13037
Xiang	0.130161
Modise	0.129615
Abubakar	0.129097
"Vo Van Kiet"	0.129076
Sharif	0.12885
Wan	0.128666
Eizenstat	0.127195
Fischer	0.127195
Advani	0.127173
"Jose Maria Aznar"	0.127052
Nasrallah	0.127017
Prueher	0.126881
"Pandeli Majko"	0.126158
"Prime Minister Banharn Silpa-Archa"	0.125616
"Fernando Henrique Cardoso"	0.12561
"Sheikh Hasina"	0.125397
Tarrin	0.125342
Peng	0.124914
Wei	0.124667
Azizah	0.124497
Ben-Ami	0.124464
Xiong	0.124381
Buhe	0.124374
Bildt	0.124112
Masire	0.1241
Bashir	0.123808
Aventajado	0.123455
al-Sahhaf	0.123325
el-Ganzouri	0.122976
Sezer	0.122855
Scharping	0.122759
"Antonio Guterres"	0.122216
"Pascoal Mocumbi"	0.122116
"Khin Nyunt"	0.122097
"Chuan Leekpai"	0.122005
Annan	0.121456
Sanguinetti	0.12112
"Paavo Lipponen"	0.120955
Dai	0.120899
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.120629
"Frederick Sumaye"	0.120578
"Sher Bahadur Deuba"	0.120474
Dodik	0.120449
Khatami	0.120443
Prewitt	0.120411
Li	0.120267
Boutros-Ghali	0.119955
"Chief Executive Tung Chee-hwa"	0.119788
tang	0.119655
Milutinovic	0.119499
"Necmettin Erbakan"	0.119442
al-Bashir	0.119104
Bedie	0.119055
Waigel	0.118954
al-Khatib	0.118378
"Jacques Chirac"	0.118064
Cao	0.117992
"Deve Gowda"	0.117595
Daley	0.117518
LeBlanc	0.11748
"Krishna Prasad Bhattarai"	0.117271
Chen	0.117146
Ruggiero	0.116873
Sharansky	0.116834
"Costas Simitis"	0.116683
"Wei Jianxing"	0.11668
Zedillo	0.116312
"Ung Huot"	0.116095
"President Hafez Al-Assad"	0.115845
"John Paul"	0.115684
Khamenei	0.115667
"Yoshiro Mori"	0.115555
Fino	0.115113
Papandreou	0.114896
Sahnoun	0.114865
"Mesut Yilmaz"	0.114812
Amour	0.11481
Rawabdeh	0.114684
Portillo	0.114627
Beilin	0.114551
al-Hariri	0.114198
Manley	0.114062
"Romano Prodi"	0.113972
Persson	0.113789
Abbas	0.11349
Peres	0.113226
"King Abdullah II"	0.113151
Berisha	0.112892
Vajpayee	0.112798
"Jean Chretien"	0.112744
"Atal Bihari Vajpayee"	0.112139
"Hosni Mubarak"	0.112025
Rabbani	0.111903
Klerk	0.111631
"Prime Minister Kamal El-Ganzouri"	0.111482
Hodler	0.111282
"Mikulas Dzurinda"	0.111227
"Goh Chok Tong"	0.111087
al-Nahyan	0.110982
Mercado	0.110801
Havel	0.110695
Denktash	0.110646
Indyk	0.110636
"Jordanian King Abdullah Bin Hussein"	0.110578
Erwin	0.110443
Soyinka	0.110185
Supachai	0.110181
Mahathir	0.11015
Rasmussen	0.109993
"Bashkim Fino"	0.10988
"Abidine Ben Ali"	0.10977
Yilmaz	0.10975
Bongo	0.109653
"King Sihanouk"	0.109596
Rais	0.109532
"Phan Van Khai"	0.109528
Mordechai	0.109512
"Bulent Ecevit"	0.109487
Donohue	0.109386
Primakov	0.109263
Plavsic	0.109247
"Chea Sim"	0.10922
Putin	0.109178
Barshefsky	0.109143
"Ivan Kostov"	0.109112
Sharaa	0.108933
Bulatovic	0.108828
Tudjman	0.108685
"Speaker Ali Akbar Nateq-Nouri"	0.108528
Fujimori	0.108406
Blair	0.108404
Shaath	0.108286
Obuchi	0.108042
Zhang	0.107769
"Goran Persson"	0.107764
Ebersol	0.107601
Markovic	0.107576
Pastrana	0.107353
Vice-Premier	0.107196
Stepashin	0.107095
"Vladimir Putin"	0.107006
Murad	0.10689
Abdullah	0.10688
"Pope John Paul"	0.106829
Schmid	0.106637
Glickman	0.10663
"Jacques Santer"	0.10643
McKinnon	0.106208
"H.D Deve Gowda"	0.105965
Majko	0.105793
"Kim Dae Jung"	0.105781
Tsvangirai	0.105712
Bondevik	0.105681
Berri	0.105519
Seselj	0.10526
Leung	0.104776
Rugova	0.104762
Erekat	0.104665
"Salim Ahmed Salim"	0.104585
Soeharto	0.104406
Satcher	0.104239
D'Alema	0.103977
"Jenny Shipley"	0.103812
"Qiao Shi"	0.103781
Kim	0.103614
Iglesias	0.103582
Sihanouk	0.103529
Kromah	0.103506
Demaci	0.103375
Shara	0.103225
"Wlodzimierz Cimoszewicz"	0.103049
"Kim Jong Il"	0.102817
guo	0.102787
Katsav	0.102457
Aliev	0.102434
Stephanopoulos	0.10239
Lim	0.102234
"Defense William Cohen"	0.10207
"Abdurrahman Wahid"	0.101818
"Javier Solana"	0.101764
Malan	0.10173
Xie	0.101694
"Michel Camdessus"	0.101639
Hoss	0.101443
"Girija Prasad Koirala"	0.10141
Rua	0.101369
Samper	0.101327
Kissinger	0.101219
Grachev	0.101117
"Atal Behari Vajpayee"	0.10092
Caldera	0.100787
Christopher	0.100451
Aquino	0.100418
Dae-jung	0.100327
Beye	0.100327
Yastrzhembsky	0.100164
Ekeus	0.10008
"Tian Jiyun"	0.100079
Yassin	0.100066
))
(chitchat (desc 3083.48) (sims
"small talk"	0.106617
pleasantry	0.0933676
banter	0.0826423
chatter	0.0817043
ribbing	0.0800709
colloquy	0.0778821
tete-a-tete	0.0751324
gossip	0.0737669
give-and-take	0.0695522
repartee	0.0653303
horseplay	0.0624331
fistfight	0.0600896
downtime	0.0589153
high-fives	0.0585788
babble	0.0579071
blather	0.057699
firewalls	0.0551058
sparring	0.0545905
repast	0.0545796
daydream	0.0538718
hearsay	0.0535729
conjecture	0.0533031
"corn chip"	0.0532324
"bear hug"	0.0526146
tiff	0.0516438
grownup	0.0514354
"wishful thinking"	0.0512227
"softball game"	0.0512159
gibe	0.0511871
horse-trading	0.0507878
haggling	0.0499913
"guessing game"	0.049836
snafu	0.0495073
muttering	0.0492371
"string bean"	0.0489601
hijinks	0.0485667
scepticism	0.0481781
guessing	0.0480092
tidbit	0.0478238
verbiage	0.0476475
trivia	0.046933
harangue	0.0468074
soul-searching	0.0467443
browsing	0.0466046
mixup	0.0464563
SIESTA	0.0464487
bickering	0.0464403
"hue and cry"	0.0463164
"sour grapes"	0.0457174
hang-up	0.0453596
snit	0.0452563
MONEYBAG	0.0451927
finger-pointing	0.0450224
freeloader	0.0449261
wisecrack	0.0445121
"detective work"	0.0441055
disinformation	0.0439006
disquiet	0.0438235
mumbo-jumbo	0.0438054
bullishness	0.042955
self-criticism	0.0428698
jostling	0.042809
croissant	0.0427231
gamesmanship	0.0423789
drivel	0.0423009
ruckus	0.0422313
guesswork	0.0420627
fisticuffs	0.0419756
misinformation	0.0419426
gabfest	0.0418979
back-and-forth	0.0418906
gripe	0.0418103
hand-wringing	0.0417547
"name calling"	0.0416639
unpleasantness	0.0416621
shakeout	0.0416202
bullfight	0.0415986
"sexual intercourse"	0.0415906
recrimination	0.0415465
"elbow room"	0.0413862
crowd-pleaser	0.0413707
fluff	0.0412858
contretemps	0.0411268
"pecan pie"	0.0410593
cutlet	0.0410556
"odds and ends"	0.0410513
palpitation	0.0410284
hand-holding	0.0408656
"water cooler"	0.0406732
pleaser	0.040541
whodunit	0.0404856
hoopla	0.0404534
mano	0.04037
tug-of-war	0.0403134
Burrito	0.0403045
))
(Chittagong (desc 10124.2) (sims
Khulna	0.237144
Rajshahi	0.196646
Sylhet	0.178082
Durres	0.143694
DHAKA	0.143069
Mombasa	0.133944
Aqaba	0.128494
Trincomalee	0.120296
Karachi	0.118301
Haifa	0.109322
"Chittagong Hill Tracts"	0.105075
Calcutta	0.104822
Huambo	0.104642
Kandy	0.102208
Larnaca	0.101833
Beira	0.099219
Lianyungang	0.0984594
Murmansk	0.0977872
COLOMBO	0.096934
Sevastopol	0.095927
Vladivostok	0.0958101
Gulu	0.0956294
Gudermes	0.0954941
Limassol	0.0953185
Jaffna	0.0929906
EPZs	0.0911934
Assab	0.0911543
Kisumu	0.0893725
Qingdao	0.0890222
Durban	0.0885268
Pusan	0.087756
Galle	0.0860245
Dalian	0.0858403
Beihai	0.0857405
Kaohsiung	0.0848396
Qinhuangdao	0.0846113
Davao	0.0843771
Kigoma	0.0842784
Tianjin	0.0841921
Sanya	0.0840685
Xiamen	0.0834276
Kisangani	0.0830678
Izmit	0.081763
Cartagena	0.0807863
Istanbul	0.0805258
Lahore	0.0805069
Izmir	0.0800554
"Banja Luka"	0.0799712
Sihanoukville	0.0792511
Tachilek	0.0791849
Ningbo	0.0791316
Kismayu	0.0788917
Matadi	0.078794
Nagoya	0.0785709
Shali	0.0781107
Valparaiso	0.0777976
Novosibirsk	0.077747
seaport	0.0777365
Baku	0.077481
Zhangzhou	0.0772155
Bazar	0.0766772
Kabul	0.0764487
Golcuk	0.0762924
Beirut	0.0761889
Mbarara	0.0760488
Vlore	0.0760351
Quetta	0.0760025
Bulawayo	0.0759319
Peshawar	0.0758098
MAPUTO	0.0757693
"Kosovska Mitrovica"	0.0754159
"Phnom Penh"	0.0753304
Vedeno	0.0752507
Mtwara	0.0751735
Merca	0.0748612
Jeddah	0.0748554
Ambon	0.0748416
Kandahar	0.074639
"Metro Manila"	0.0745387
Arua	0.0743291
Hamburg	0.0739731
Yantai	0.0736102
Mogadishu	0.0734789
Cebu	0.0732753
Fuzhou	0.0728837
Bushehr	0.0728766
Baalbek	0.0727049
Gdansk	0.0724526
Ensenada	0.0724342
Dubrovnik	0.0724071
Guayaquil	0.0721241
Bamiyan	0.0720819
Tripoli	0.072025
Alexandria	0.0717032
Dushanbe	0.0714489
Zhuhai	0.07144
Abidjan	0.0711546
Londonderry	0.0710807
YANGON	0.0708604
Inchon	0.0707223
Baotou	0.0705897
CARACAS	0.0705149
"Far Eastern"	0.0701775
NIS	0.0697285
"Sao Paulo"	0.0692911
Posoltega	0.0690945
Hebron	0.0690186
Pattaya	0.0689824
Luxor	0.068954
"Export Processing Zones"	0.0689525
Warri	0.0689098
Wenzhou	0.0687916
Manado	0.0686384
Krasnoyarsk	0.0685934
Nablus	0.0685684
Aden	0.0685389
Dili	0.0685137
Algiers	0.0684398
Puebla	0.0680994
Vavuniya	0.0680224
Odessa	0.0679638
Jalalabad	0.067757
Ashkelon	0.0677386
Zhongshan	0.0676876
PEC	0.0676669
Hyderabad	0.0676299
Mandalay	0.0676074
Belfast	0.0673099
"Dar es Salaam"	0.0672252
Sidon	0.0671995
KAMPALA	0.0671801
Bengkulu	0.0670925
Brazzaville	0.066889
Rawalpindi	0.0665909
Zhangjiagang	0.0665553
"Universal Serial Bus"	0.0664363
Kathmandu	0.0664214
Bangladesh	0.066291
Baidoa	0.0659447
Lucknow	0.0659428
Jinzhou	0.0658213
Kalemie	0.0658048
Cochabamba	0.0657984
CHANGCHUN	0.0657452
Datong	0.0656641
Pristina	0.0656595
"Ho Chi Minh City"	0.0654594
Jammu	0.0653581
Lagos	0.0653208
Cotabato	0.0652677
Auckland	0.0650924
Shenzhen	0.0650459
Atambua	0.0650264
Kuito	0.0650028
"Fujian Province"	0.0648995
"CHIANG MAI"	0.0647369
Salonica	0.0647105
Bombay	0.0646524
Luanda	0.0646161
Batticaloa	0.0645591
Kinshasa	0.0645348
Quito	0.0644661
Antalya	0.0644224
"La Paz"	0.0641467
Mbale	0.0640677
Tijuana	0.0639228
Shashi	0.0638806
Thessaloniki	0.0638376
Gaza	0.0636597
NICOSIA	0.0635785
Calais	0.0635706
"Dhaka Stock Exchange"	0.0632106
Malaga	0.0629443
Bangalore	0.0629039
Mashhad	0.0628985
"New Delhi"	0.0627754
Zhangjiajie	0.0627648
BUCHAREST	0.0627648
Suez	0.0626308
SANAA	0.062561
Brcko	0.0625105
Prizren	0.0624962
Kenema	0.0624643
Acapulco	0.0622174
"Guatemala City"	0.062106
NANJING	0.0620857
TIRANA	0.0618845
Mumbai	0.0617387
HANOI	0.0616694
Bujumbura	0.061593
Galveston	0.0615873
Pudong	0.0615502
Monrovia	0.061535
Lubumbashi	0.0615344
Uvira	0.0615251
Vientiane	0.0615117
Bukavu	0.0614569
Suzhou	0.0614441
Podgorica	0.0614061
Bundibugyo	0.0610843
))
("Chittagong Hill Tracts" (desc 3248.6) (sims
CHT	0.274129
Khulna	0.110571
Chittagong	0.105075
Mindanao	0.103135
"Rift Valley Province"	0.0887357
final-status	0.0771945
"Shan State"	0.0759943
Caucasus	0.0758511
"Democratic Republic of Congo"	0.0757989
KwaZulu/Natal	0.0726526
"Kwazulu/Natal Province"	0.071805
"Niger Delta"	0.0717416
Mideast	0.0717049
"D.R Congo"	0.0716809
Vedeno	0.0688102
Abkhazia	0.0675789
Palestinian-Israeli	0.0673957
"Delta State"	0.0668024
Izmit	0.0646713
"Democratic Republic"	0.0641215
"Export Processing Zones"	0.0640466
Badme	0.0639119
EPZs	0.062553
Gulu	0.0624288
Kaliningrad	0.0624096
Warri	0.062399
Vlore	0.062333
"KwaZulu-Natal Province"	0.0617597
Zhongguancun	0.0606633
Dagestan	0.0601418
"Democratic Republic of the Congo"	0.060062
"Eastern Province"	0.0599319
"Great Plains"	0.0589936
Nagorno-Karabakh	0.0587515
Sylhet	0.0581327
subregion	0.0580412
subdistrict	0.0577672
"Qaidam Basin"	0.0575228
Bazar	0.0573636
el-Sheikh	0.0572959
Jezzine	0.0571803
"African nation"	0.0566458
Katanga	0.0566199
Hebron	0.0565084
Jammu	0.0563729
"San Diego County"	0.05631
"Balkan nation"	0.0560064
Zaire	0.0559383
"Good Friday"	0.0557293
Gisenyi	0.0555664
Israeli-Palestinian	0.0555464
Arua	0.0551347
"Pearl River Delta"	0.0550453
Chiapas	0.0549076
"Jaffna Peninsula"	0.0547583
Shali	0.0544742
Israeli-Syrian	0.0543074
DRC	0.053769
Mitrovica	0.0536645
Lome	0.0533866
Crimea	0.0532209
"Agenda @@@@"	0.0531371
"Southern Philippines"	0.0518806
"SIERRA BLANCA"	0.051783
governorates	0.0516758
"North Caucasus"	0.0516325
Gujarat	0.0512886
"state-owned enterprises"	0.0510664
Sino-U.S.	0.0505925
"Golden Triangle"	0.0502871
"Republic of Congo"	0.0498384
Aceh	0.049832
Cochabamba	0.0497102
"Gaza Strip"	0.0496844
disengagement	0.0496272
Youngstown	0.0495972
Kurdistan	0.0494711
"New Democracy"	0.0494487
leone	0.0492328
"Multimedia Super Corridor"	0.0492309
"Great Lakes Region"	0.0491141
"Pudong New Area"	0.0490742
"Democratic Congo"	0.0487268
Ulster	0.0486024
Nabatiyeh	0.0485643
"Board of Investment"	0.0483547
regency	0.0483464
Gnjilane	0.0482372
Kasese	0.0481192
Mostar	0.0480271
"intellectual property rights"	0.0479044
China-U.S.	0.0472911
"Guinea Bissau"	0.0468977
Drenica	0.0467276
"West Africa"	0.0467111
"Northeast Asia"	0.0463022
"Northern Province"	0.0458967
armistice	0.0457489
"START III"	0.0455458
Kwazulu-Natal	0.0452533
"Wye River"	0.04503
Guinea-Bissau	0.0450016
Kaduna	0.0448349
"labor contract"	0.0446956
"Black Sea Fleet"	0.0443029
"Free Trade Agreement"	0.044226
Taba	0.044216
Batticaloa	0.0439801
Bougainville	0.0438463
"arms control"	0.0437328
"Central Mindanao"	0.0435558
Wye	0.0434899
Posoltega	0.0434708
"South Atlantic"	0.0434336
"Central Province"	0.0434308
"Criminal Investigation Department"	0.0434218
Mesopotamia	0.0431273
Punjab	0.0430566
Brcko	0.0429498
self-rule	0.04267
"shipbuilding industry"	0.0425545
demilitarization	0.0425258
Conakry	0.0424861
Sheikh	0.0424729
Argun	0.0423327
Kalimantan	0.0423321
"Russian Communist Party"	0.0423242
"Yellow Sea"	0.0422924
Bekaa	0.0421367
"election commission"	0.0421103
"Iglim Al-Toffah"	0.0419715
demarcation	0.0418723
"Oslo Accords"	0.0416611
"Eastern Slavonia"	0.0415636
Vojvodina	0.0415196
"Warren County"	0.0414561
Uvira	0.0414046
tie-up	0.041284
Israeli-Arab	0.041269
seaboard	0.0410566
Aegean	0.0408687
"Irian Jaya"	0.0408374
"South Dakota"	0.0408314
U.S.-China	0.0406952
"North Island"	0.0404422
sub-region	0.0403987
Maluku	0.0402582
Syrian-Israeli	0.0401052
))
(chive (desc 8505.52) (sims
parsley	0.451375
cilantro	0.37171
oregano	0.352553
tarragon	0.351113
Basil	0.35022
chervil	0.346567
thyme	0.341876
dill	0.340833
scallion	0.336228
shallot	0.334241
"green onion"	0.326818
marjoram	0.30271
mint	0.291799
Garlic	0.285777
"lemon juice"	0.285169
"red onion"	0.269932
"lemon zest"	0.267612
rosemary	0.266934
celery	0.242725
"bay leaf"	0.242265
onion	0.24108
"pine nut"	0.235196
ginger	0.232187
vinegar	0.230158
mustard	0.228945
pepper	0.226935
"bell pepper"	0.221617
"orange zest"	0.221265
"lime juice"	0.219062
fennel	0.21892
chilies	0.218162
horseradish	0.213507
"Worcestershire sauce"	0.21169
"green pepper"	0.210411
cumin	0.204554
"olive oil"	0.202833
olive	0.198616
paprika	0.196123
"red pepper"	0.19241
jalapeno	0.192377
cucumber	0.19206
Parmesan	0.189423
"chili powder"	0.187314
"black pepper"	0.187182
salt	0.18281
Sage	0.182076
watercress	0.181446
arugula	0.178321
coriander	0.178135
tomato	0.176094
caper	0.173827
"soy sauce"	0.173355
cinnamon	0.173227
chiles	0.172746
nutmeg	0.172491
lemongrass	0.170078
avocado	0.17001
sprig	0.169865
"garlic clove"	0.169511
peppercorn	0.168774
leek	0.167171
mushroom	0.166514
lettuce	0.165402
"brown sugar"	0.165196
lemon	0.165157
anchovy	0.164895
"black olive"	0.163153
"fennel seed"	0.16249
carrot	0.16199
herb	0.1611
"curry powder"	0.161014
cayenne	0.160689
lime	0.159794
flake	0.156467
almond	0.156099
radish	0.156053
"sesame seed"	0.154913
crumb	0.154042
"garlic salt"	0.151897
"cayenne pepper"	0.151159
seasoning	0.150958
pecan	0.150657
cheese	0.149784
mayonnaise	0.149735
spinach	0.146173
Sorrel	0.145118
butter	0.144162
"sour cream"	0.143649
"sesame oil"	0.143556
zucchini	0.142897
vanilla	0.14271
asparagus	0.14129
allspice	0.140407
pancetta	0.140369
cabbage	0.140071
walnut	0.139493
"tomato paste"	0.139235
bacon	0.139156
"grated cheese"	0.13845
"celery seed"	0.136205
"wine vinegar"	0.134681
"hot pepper"	0.134482
clove	0.133622
"mustard seed"	0.13236
raisin	0.131269
"macadamia nut"	0.130982
"chili pepper"	0.130878
"egg yolk"	0.130671
tahini	0.130287
"seasoned salt"	0.129748
sugar	0.127423
cornstarch	0.127399
coconut	0.126532
breadcrumb	0.12552
"orange peel"	0.125163
"Tabasco sauce"	0.124226
"baking powder"	0.123846
honey	0.123451
ricotta	0.123063
turmeric	0.123013
"water chestnut"	0.122266
"goat cheese"	0.122042
"cider vinegar"	0.121371
cornmeal	0.12112
artichoke	0.118206
Broccoli	0.11792
"cumin seed"	0.117324
zest	0.116658
yogurt	0.115359
"heavy cream"	0.114929
buttermilk	0.114554
mozzarella	0.114399
"blue cheese"	0.114283
"bean sprout"	0.113546
"whipped cream"	0.113344
mango	0.113245
half-and-half	0.112935
fraiche	0.112771
"Swiss chard"	0.112015
prosciutto	0.111949
"tomato sauce"	0.111819
saffron	0.110889
"maple syrup"	0.110012
hazelnut	0.109412
"shiitake mushroom"	0.109404
"hot sauce"	0.108675
sauce	0.108596
"lemon peel"	0.107623
leaf	0.107024
potato	0.106838
"chili sauce"	0.106588
"cherry tomato"	0.106552
sherry	0.106481
savory	0.105938
tomatillo	0.105648
"pepper sauce"	0.105303
"coconut milk"	0.10507
pineapple	0.104605
Chili	0.104174
chutney	0.104122
powder	0.104052
"green olive"	0.104043
"white pepper"	0.103513
peanut	0.103279
pimento	0.103084
chard	0.102016
flour	0.101917
"green bean"	0.101863
"chicken broth"	0.101816
pesto	0.101788
vinaigrette	0.101739
wasabi	0.101548
"hard-boiled egg"	0.100936
"egg white"	0.100316
"white wine"	0.0998212
"red bell pepper"	0.0998113
anise	0.0995373
spice	0.0989484
"orange juice"	0.0983674
"vanilla bean"	0.0983616
"vanilla extract"	0.0982008
ham	0.0976924
pea	0.0974362
Kale	0.0965731
paste	0.096362
eggplant	0.0961018
raspberry	0.0951694
beet	0.0951409
shrimp	0.0948909
egg	0.0948171
cream	0.0937911
nut	0.0936124
"baking soda"	0.0933188
Tabasco	0.0932487
"cream cheese"	0.0932125
cardamom	0.0932122
"raw vegetable"	0.0931294
croutons	0.0928033
turnip	0.0924353
"corn syrup"	0.0922742
))
(Chlamydia (desc 2037.13) (sims
syphilis	0.297146
gonorrhea	0.211298
herpes	0.205986
Lyme	0.161817
tuberculosis	0.145223
hepatitis	0.136421
"sexually transmitted disease"	0.12673
"hepatitis B"	0.119337
HIV	0.115521
leprosy	0.115193
trachoma	0.109449
STD	0.108036
salmonella	0.105604
O@@@:H@	0.099722
"Human Immunodeficiency Virus"	0.0989981
coli	0.0977404
Tb	0.0945386
"Lyme disease"	0.0936468
giardia	0.0934873
"AIDS virus"	0.0933885
listeria	0.0921165
HIV/AIDS	0.0907344
"lead poisoning"	0.0899681
cholera	0.08848
influenza	0.0882601
Hantavirus	0.0850132
canker	0.0798241
ebola	0.0790229
malaria	0.0788828
HIV-@	0.0750554
Meningitis	0.0746521
cryptosporidium	0.0740959
tetanus	0.0732903
rotavirus	0.0730203
"lung cancer"	0.0717774
leukemia	0.0714605
bacillus	0.0712887
STDs	0.0707033
H.	0.0689428
bacterium	0.0684584
"West Nile"	0.0684341
anthrax	0.0684099
psoriasis	0.0683042
"infectious disease"	0.0677959
"venereal disease"	0.0676573
Dengue	0.0675381
recidivism	0.0674298
"skin cancer"	0.0667477
"hepatitis A"	0.0656394
SIDS	0.0639713
"mental disorder"	0.0617748
E.	0.0608628
"acquired immune deficiency syndrome"	0.060363
encephalitis	0.0597727
"HIV/ AIDS"	0.0590377
apnea	0.0587829
"dengue fever"	0.0576675
"typhoid fever"	0.0576434
"contagious disease"	0.0576013
"malignant tumor"	0.0568247
"liver disease"	0.0566357
"respiratory disease"	0.0565782
typhoid	0.0563799
measles	0.0558232
BSE	0.0556074
malformation	0.0554401
melanoma	0.0545762
"yellow fever"	0.0543893
"juvenile delinquency"	0.0542531
"food poisoning"	0.0539
osteoarthritis	0.0538606
Rabies	0.053667
atherosclerosis	0.0532834
lupus	0.0532341
mammography	0.0524564
"mental illness"	0.0513631
nearsightedness	0.0510966
"inner ear"	0.051091
hypertension	0.0509366
CJD	0.0505453
cataract	0.0501914
polio	0.049717
"colon cancer"	0.0496799
heartburn	0.0493392
"cancer death"	0.0490387
jaundice	0.0481515
deforestation	0.047642
"eye disease"	0.047427
subsidence	0.0474252
"foot-and-mouth disease"	0.0465783
Alzheimer	0.0465346
udder	0.0462875
"kidney disease"	0.0460598
evaporation	0.045917
sinus	0.0457767
Osteoporosis	0.0457062
"heroin addiction"	0.0456805
homeownership	0.0453032
Dysentery	0.0452957
pneumonia	0.0452205
Parkinson's	0.0446931
acne	0.0445099
botulism	0.0442295
relapse	0.0439349
Lice	0.0439105
autism	0.0438625
parasite	0.0435694
"hot flash"	0.0429162
tonsil	0.0428082
Obesity	0.0426974
prostate	0.0418277
wart	0.0413854
"heart valve"	0.0410925
IDD	0.0409656
chickenpox	0.040824
C-section	0.0404591
"Love Bug"	0.0403992
Caesarean	0.040392
sickness	0.0402603
))
(Chloe (desc 1880.71) (sims
Givenchy	0.123725
"Christian Dior"	0.117351
gingham	0.102286
clingy	0.0969995
taffeta	0.0957947
organza	0.0937333
Chanel	0.091394
"Louis Vuitton"	0.0881614
Halston	0.0863313
slinky	0.0861427
"polka dot"	0.0841804
Hula	0.0749171
Versace	0.0738875
"navy blue"	0.0724791
"dark blue"	0.069348
Josephine	0.0690257
Jessica	0.0687568
"Yves Saint Laurent"	0.0683232
"Calvin Klein"	0.0678694
Armani	0.0654935
Celine	0.0647531
Doris	0.0643006
snakeskin	0.0642374
tulle	0.0641541
Jenna	0.0635429
Sonia	0.0619345
COUTURE	0.0599413
Julie	0.059112
Samantha	0.0588547
Naomi	0.0581333
Vanessa	0.0578741
Rhett	0.057861
Jacqueline	0.0560477
Beatrice	0.055755
Valentino	0.0553748
Abby	0.0553655
Galliano	0.0550355
wraparound	0.0550208
Marlene	0.0541624
sarong	0.0538857
rayon	0.0531049
mohair	0.0530109
Katherine	0.0529458
Gaultier	0.0522744
"Marc Jacobs"	0.0521689
BEA	0.0521138
Lydia	0.0519384
periwinkle	0.0517064
plaid	0.051375
flapper	0.0510953
Johanna	0.050826
Melanie	0.0503464
Jennifer	0.049815
sheath	0.0497666
"Donna Karan"	0.0496675
Christine	0.0495331
Rebecca	0.0494609
"Karenna Gore Schiff"	0.0494477
Heade	0.049388
Stephanie	0.0489273
"Bill Blass"	0.048857
Brooke	0.0473082
Dior	0.0471075
halter	0.047079
Eli	0.047026
Lisa	0.0469889
Rachel	0.0466203
Molly	0.046536
Wyly	0.0458856
Renee	0.045718
suede	0.0455411
Kristin	0.0455054
"Union Jack"	0.045432
Natalie	0.0452264
Opry	0.0449417
flannel	0.0448842
"Helmut Lang"	0.0448545
"black flag"	0.0446041
Christina	0.044463
"Caroline Kennedy Schlossberg"	0.0443017
Erin	0.0442956
Cyrus	0.0441626
Julia	0.0439327
Kay	0.0435988
gauze	0.0434923
Judy	0.043406
Beverly	0.0433701
"haute couture"	0.043343
Bridget	0.0431392
"Truth Commission"	0.043118
Alexandra	0.0427674
sequin	0.0427671
Cody	0.0425803
Andrea	0.0424222
polyester	0.0421946
Patricia	0.0419929
Nora	0.0418422
"Saint Laurent"	0.0417433
Karenna	0.041688
Paulina	0.0409051
"Jil Sander"	0.040753
drawstring	0.0406123
Meg	0.040583
Eva	0.0402503
))
("Chloe Sevigny" (desc 2050.77) (sims
"Janet McTeer"	0.128137
"Joan Allen"	0.111604
"Kirsten Dunst"	0.107716
"Catherine Keener"	0.106627
"Angelina Jolie"	0.105857
"Vanessa Redgrave"	0.105149
"Hilary Swank"	0.0950371
"James Van Der Beek"	0.0902192
"Geoffrey Rush"	0.087406
"Toni Collette"	0.0849019
"Julianne Moore"	0.0846309
"Judi Dench"	0.0828362
"Claire Danes"	0.0810436
"Catherine Deneuve"	0.0805112
"Anne Heche"	0.0804076
"Elizabeth Hurley"	0.0777144
"Bill Pullman"	0.0769211
"Gwyneth Paltrow"	0.0751099
"Samuel L. Jackson"	0.0736957
"Annette Bening"	0.0733109
"Haley Joel Osment"	0.0728407
"Tom Selleck"	0.0716379
"Amy Brenneman"	0.0715384
"Matthew McConaughey"	0.0714558
"Minnie Driver"	0.067112
"Dennis Franz"	0.0656731
"Cate Blanchett"	0.0639123
"Nicole Kidman"	0.0620675
"Drew Barrymore"	0.0617996
"Katie Holmes"	0.0617958
"Edward Norton"	0.0609028
"Gillian Anderson"	0.0607661
Jolie	0.0600709
"Matthew Broderick"	0.0591797
"Christian Slater"	0.0574794
"Helen Hunt"	0.0573502
"Richard Gere"	0.0561136
"Keanu Reeves"	0.055993
"Matt Damon"	0.0555774
"Sandra Bullock"	0.055255
Paltrow	0.0548783
"Andie MacDowell"	0.0545848
"Brenda Blethyn"	0.0545425
"Calista Flockhart"	0.0536251
"Susan Sarandon"	0.05317
"Rob Reiner"	0.0528749
"Mark Wahlberg"	0.0515506
"Robert Duvall"	0.0506531
"Anjelica Huston"	0.0505554
"Jamie Foxx"	0.0500911
"Jennifer Lopez"	0.049826
"Chris Klein"	0.0492521
"Ashley Judd"	0.0485282
"Ben Stiller"	0.0483296
"James Gandolfini"	0.0480201
"Sarah Jessica Parker"	0.047664
"Cameron Diaz"	0.0472854
"Edie Falco"	0.0464162
"Sigourney Weaver"	0.0464027
"Taye Diggs"	0.0459938
swank	0.0457019
"Goldie Hawn"	0.0454951
"Ian McKellen"	0.0446609
"Woody Harrelson"	0.0444753
"David Duchovny"	0.0444604
"Tyra Banks"	0.0437088
"Alan Cumming"	0.0436727
"Willem Dafoe"	0.0434708
"Ben Affleck"	0.0433912
"Brian Dennehy"	0.0431653
"Holly Hunter"	0.0431278
"Glenn Close"	0.0430636
RuPaul	0.0428289
"Audra McDonald"	0.0427592
"JOHN TURTURRO"	0.0426852
"Michelle Pfeiffer"	0.0426193
"Julia Roberts"	0.0423708
"Steve Zahn"	0.0423193
"Hugh Grant"	0.0419299
supermodel	0.0418242
"Jodie Foster"	0.0417733
"Diane Keaton"	0.0413696
Broderick	0.041337
"exotic dancer"	0.0412698
"Meryl Streep"	0.0411215
"AL PACINO"	0.0406938
"Michelle Williams"	0.0406574
Keaton	0.0404098
"Rupert Everett"	0.0403178
"Katie Couric"	0.0403082
))
(chloride (desc 5174.68) (sims
benzene	0.191938
sulfate	0.165676
chlorine	0.140087
potassium	0.138446
sodium	0.137012
"carbon monoxide"	0.135269
ammonia	0.135266
nitrate	0.13489
formaldehyde	0.132142
cyanide	0.129237
arsenic	0.122577
sulfur	0.117079
asbestos	0.114994
dioxin	0.113817
hydrocarbon	0.111783
ethylene	0.107818
phosphorus	0.104272
"growth hormone"	0.104216
"nitrogen oxide"	0.102952
urea	0.102409
nitrogen	0.102076
toxin	0.0972851
"hydrogen sulfide"	0.096011
Radon	0.0957962
PCBs	0.094927
oxide	0.0939161
"caustic soda"	0.0929884
pesticide	0.0928619
contaminant	0.0916881
carcinogen	0.0915925
"nitrous oxide"	0.0907376
radioactivity	0.0897692
bromide	0.0895115
insulin	0.0892583
DDT	0.0890865
phosphate	0.0886769
dopamine	0.0881897
mercury	0.0881199
Calcium	0.085337
chromium	0.0848894
Sarin	0.0836137
PCB	0.0834478
"carbon dioxide"	0.082523
magnesium	0.082102
fluoride	0.0813406
beryllium	0.0808243
MTBE	0.0807138
hGH	0.0802299
"organic compound"	0.0790537
ether	0.0789027
methane	0.0788164
iodine	0.0787
plutonium	0.0775653
Sulphur	0.0758649
"human growth hormone"	0.0758439
serotonin	0.0749314
melatonin	0.0740808
acid	0.074064
ephedrine	0.0735452
penicillin	0.0733215
hydrogen	0.0730854
"free radical"	0.0728553
additive	0.0727113
uranium	0.0726532
GHB	0.0721595
cortisone	0.0721197
anthrax	0.0716917
amphetamine	0.0715224
"polyvinyl chloride"	0.0701985
capsaicin	0.0700367
herbicide	0.069298
ore	0.0689712
carbon	0.0678816
ion	0.0677086
serum	0.0675702
acetone	0.0675577
"lubricating oil"	0.0670077
methanol	0.0667539
fertilizer	0.0664719
solvent	0.0663748
hormone	0.0659134
"vitamin E"	0.0656354
ozone	0.0653867
glucose	0.0653062
isotope	0.0652487
homocysteine	0.0650881
LNG	0.0647239
coolant	0.0646207
tritium	0.0641928
propellant	0.0641793
folate	0.0640646
steroid	0.0640186
"vitamin C"	0.0640171
carotene	0.0640003
fiber	0.0637587
polyethylene	0.0637118
HDL	0.0633959
antioxidant	0.0633839
helium	0.063148
silicone	0.0627678
"nitrogen dioxide"	0.0625267
"sulfuric acid"	0.0618351
CFCs	0.0615891
oxygen	0.0613292
leptin	0.0610558
Zinc	0.0609532
"electric current"	0.0601246
cellulose	0.0596841
"synthetic fiber"	0.0595494
Botox	0.0593476
olestra	0.0593205
"folic acid"	0.0591953
protein	0.0587989
intermediate	0.0585913
soot	0.0585667
"sulfur dioxide"	0.0584778
"chemical compound"	0.0581549
VX	0.0581212
fungicide	0.0577825
"nerve gas"	0.0577656
salmonella	0.0576116
nicotine	0.0575212
particulates	0.057114
sedative	0.0569351
bitumen	0.0563571
cadmium	0.0563322
pollutant	0.0559551
cholesterol	0.0559346
interferon	0.0559124
Avonex	0.0557097
ethanol	0.0554442
"cane sugar"	0.0554371
pigment	0.0554095
electrolyte	0.0552588
defoliant	0.0551327
starch	0.0548849
"steel plate"	0.0548823
radiation	0.0548076
carbohydrate	0.0547113
tremolite	0.0543592
residue	0.0542496
vapor	0.0541079
EPO	0.0539726
enema	0.0539679
newsprint	0.0538701
polypropylene	0.0536713
"chemical agent"	0.053508
"iron ore"	0.0534362
"poison gas"	0.0532241
"blood sugar"	0.0532003
POTASH	0.0531674
ketamine	0.052688
vitamin	0.0526012
nitroglycerin	0.0524086
morphine	0.0522771
mineral	0.0522526
polyester	0.0521431
spore	0.0521314
enzyme	0.052071
cryptosporidium	0.0520148
anesthetic	0.0516076
alloy	0.0515158
tar	0.0514634
estrogen	0.0512818
dioxide	0.0512091
PVC	0.0511795
"food grain"	0.0507478
"diesel fuel"	0.0505388
"toxic waste"	0.0503076
nandrolone	0.0500762
"building material"	0.0499262
"coal gas"	0.0498804
"one ton"	0.0497253
vinyl	0.0495592
ephedra	0.0495468
cobalt	0.0493465
silica	0.0492996
caffeine	0.0492689
"vitamin A"	0.0492152
bleach	0.0492072
alcohol	0.0490968
petroleum	0.0490306
Propulsid	0.0488093
testosterone	0.0484728
resin	0.0484608
smog	0.0483505
ingot	0.0483105
telomerase	0.0481697
cornstarch	0.0481685
"sex hormone"	0.0481593
hemoglobin	0.0480628
petrochemical	0.0480615
Erythropoietin	0.0478957
lithium	0.0478293
"integrated circuit"	0.047777
preservative	0.0477196
PSA	0.0475601
Phentermine	0.0475552
"beam of light"	0.0474708
smelter	0.0473846
))
(chlorine (desc 6716.68) (sims
nitrogen	0.193163
arsenic	0.189953
sulfur	0.169058
benzene	0.168747
cyanide	0.168378
fluoride	0.163009
Radon	0.160487
iodine	0.159563
"hydrogen sulfide"	0.15058
ammonia	0.149014
chloride	0.140087
phosphorus	0.135668
cadmium	0.133672
methanol	0.133167
chromium	0.128977
Calcium	0.125938
hydrogen	0.123947
"carbon monoxide"	0.123361
oxygen	0.123054
"carbon dioxide"	0.122798
bleach	0.120532
Sarin	0.120157
potassium	0.120045
pesticide	0.119242
dioxin	0.118076
hydrocarbon	0.117301
formaldehyde	0.117136
propane	0.113987
chemical	0.111985
nitrate	0.110951
methane	0.110907
carbon	0.11075
PCBs	0.105827
"nitrogen dioxide"	0.105319
glucose	0.103725
"nitrous oxide"	0.103156
urea	0.102864
PCB	0.102473
contaminant	0.101127
"chemical agent"	0.0996223
selenium	0.0993631
Sulphur	0.0986758
cryptosporidium	0.0980872
tritium	0.0980722
ozone	0.0968973
acid	0.0965578
sodium	0.0962206
DDT	0.0959148
asbestos	0.0951736
gas	0.0950272
"vitamin E"	0.0949507
magnesium	0.0947156
"vitamin C"	0.094343
CO@	0.0933197
antifreeze	0.0927149
helium	0.0923863
melatonin	0.0918404
disinfectant	0.0916462
"vitamin A"	0.0909876
uranium	0.0908833
Zinc	0.0908493
estrogen	0.0905529
radioactivity	0.0905113
mercury	0.0904648
pseudoephedrine	0.090127
insecticide	0.0897557
plutonium	0.0891523
pollutant	0.0887822
MTBE	0.0884819
"heavy water"	0.0880593
dioxide	0.0876135
poison	0.0871248
"nitrogen oxide"	0.087006
antioxidant	0.086751
radiation	0.0860897
impurity	0.0854901
"hydrogen peroxide"	0.0850833
phosphate	0.0843883
insulin	0.0843444
alcohol	0.0838556
"water vapor"	0.0826372
Sewage	0.0821787
lycopene	0.0821412
"folic acid"	0.0811653
defoliant	0.080703
"rocket fuel"	0.0793235
carcinogen	0.0792992
herbicide	0.0790652
toxin	0.0790606
hemoglobin	0.0789405
nicotine	0.0788784
coolant	0.0786608
"growth hormone"	0.0781901
electrolyte	0.0781423
leptin	0.0778481
vapor	0.0777877
fertilizer	0.0771159
HDL	0.0761901
caffeine	0.0760755
malathion	0.0758618
soot	0.0757697
"sulfur dioxide"	0.0751589
folate	0.0748955
aerosol	0.0748369
homocysteine	0.0743658
solvent	0.074348
Clorox	0.0739444
"nitric oxide"	0.0737505
VX	0.0723687
"organic compound"	0.0723478
nutrient	0.0722045
hGH	0.0721914
acetone	0.0716059
"free radical"	0.0715953
ethylene	0.0714869
"sulfuric acid"	0.0713508
creatine	0.0710559
aspirin	0.0709913
resin	0.0705656
starch	0.0704313
"chemical compound"	0.0698836
Liquid	0.0692191
amphetamine	0.0686035
powder	0.0685611
gunpowder	0.0685575
"nerve gas"	0.0685284
ephedrine	0.0676267
algae	0.0673532
protein	0.0671467
hormone	0.0670745
polymer	0.0669068
anesthetic	0.0669025
isotope	0.0667667
nitroglycerin	0.0667384
carotene	0.0666831
tar	0.0666263
kerosene	0.0664262
vitamin	0.0662217
wastewater	0.0648772
PSA	0.0646205
residue	0.0644774
dopamine	0.0644514
placebo	0.0632318
Boron	0.0630678
dioxins	0.0630539
iron	0.0627687
propellant	0.0627224
tremolite	0.0626783
"toxic waste"	0.0624502
Botox	0.0623425
manganese	0.0619937
salinity	0.0619243
fungicide	0.0616486
substance	0.0616131
"lubricating oil"	0.0611446
"air bubble"	0.0610716
AZT	0.0608171
interferon	0.0608125
"blood sugar"	0.0607649
"vitamin D"	0.0605672
"amino acid"	0.0605004
opiate	0.0599862
irradiation	0.0596921
methamphetamine	0.0595671
olestra	0.0593658
"human waste"	0.0592782
urine	0.0591751
"fatty acid"	0.0588244
beryllium	0.0584118
preservative	0.0583698
smog	0.058066
MDMA	0.0580568
sawdust	0.0580132
morphine	0.0574893
talc	0.0573918
steroid	0.0571521
oxide	0.0571001
gasoline	0.056927
pollen	0.0568938
"green tea"	0.0568655
silicon	0.0565061
penicillin	0.0563953
bacteria	0.0562453
serotonin	0.0562387
particulates	0.0560979
refrigerant	0.0560663
"nitric acid"	0.0559722
sugar	0.0559433
enzyme	0.0557391
munition	0.055414
fiber	0.0553622
sulfate	0.0553295
microorganism	0.0552161
"diesel oil"	0.055207
capsaicin	0.0550592
"caustic soda"	0.0549798
GHB	0.0548468
cholesterol	0.0547932
antibody	0.0545002
aluminum	0.054454
))
(Chmura (desc 2154.14) (sims
Hiett	0.1404
Kiareldeen	0.139835
Sehorn	0.131801
Faget	0.131748
Valenzuela	0.128092
Mikhailov	0.127562
Kazhegeldin	0.127478
Carruth	0.126835
Druckenmiller	0.125147
Marinovich	0.12404
Neulander	0.123128
Swann	0.122335
Nikitin	0.119364
Shayler	0.118802
Swango	0.118488
"El Hage"	0.117768
Hofer	0.116709
Harbaugh	0.116567
Sakic	0.115827
Ghani	0.114441
"Michael Skakel"	0.114086
Underwood	0.112803
Boesak	0.111524
Berard	0.111507
Levesque	0.111252
Zubov	0.110676
Dele	0.110674
Meston	0.109856
Babitsky	0.109788
Coates	0.108101
Meskini	0.107659
Lazarenko	0.107056
Stayner	0.106748
looper	0.106387
Baumhammers	0.106213
Tuinei	0.106009
Alves	0.105712
Romanowski	0.105365
Priebke	0.104781
Perec	0.104587
Montiel	0.103917
Sharpe	0.103824
Gauthe	0.103595
Meggett	0.103242
Ntuyahaga	0.102901
Kaunda	0.102034
Kodikian	0.10124
Meares	0.101115
"Russell Peeler"	0.101094
Giacchetto	0.100702
Lindros	0.100545
Ntakirutimana	0.100422
McDuffie	0.0999705
Vasquez	0.0997145
Olowokandi	0.0988013
Soliah	0.0978099
Turgeon	0.097765
Arizmendi	0.0974922
LeFave	0.0972328
Enis	0.0972169
Maradona	0.096563
Sebaggala	0.096551
"Shannon Sharpe"	0.096382
Storr	0.0958831
"Di Canio"	0.0958768
DiSarcina	0.0958271
Calloway	0.0952206
"Maturino Resendiz"	0.0949183
Gascoigne	0.0947955
WARRICK	0.0938702
Brunner	0.0936849
Bove	0.0929525
"Al Fayed"	0.0917641
Mattysse	0.0909929
Pippig	0.0899358
Dokmanovic	0.0898487
Fuhr	0.0897649
Papon	0.0893285
Gravano	0.0892614
Grbac	0.089249
Montalvo	0.089246
Soward	0.0891643
CORYATT	0.0890528
Virenque	0.0882714
Salemme	0.0878235
Spielman	0.0876181
Merlino	0.0872338
Einhorn	0.0871907
Cavallo	0.087075
Asprilla	0.0870344
Hollandsworth	0.0870076
Al-Amin	0.0869885
Hage	0.0869392
Layden	0.0867894
Glover	0.0865232
Lett	0.0858889
Camacho	0.0857844
Hirschfeld	0.0857326
Yoo	0.0857081
Khalil	0.085487
Hatcher	0.0844451
Laudrup	0.0842625
Lafleur	0.0838019
Knievel	0.08368
Ince	0.0836096
Ripken	0.0834069
Paciello	0.0832415
D'Amico	0.0831661
Wiese	0.0831586
Primeau	0.0830766
Imperatori	0.082981
Irvin	0.0829698
Blackthorne	0.0826622
Oakley	0.0826065
Karbaschi	0.0825984
Pollard	0.0824871
Shipman	0.0823791
Rosales	0.081921
Barad	0.0818865
Longley	0.0818479
Elhage	0.0817991
Wendt	0.0816867
Irvan	0.0816039
Batouty	0.0811238
Baez	0.0805847
Sweeting	0.0805797
Resendez-Ramirez	0.0805374
Blake	0.0804042
Palffy	0.0801922
Haouari	0.0801742
Yazdi	0.079635
Gugliotta	0.0794712
Fagan	0.0792973
Trent	0.0791892
Lombardi	0.0791787
Cleaves	0.0790226
Karr	0.0790221
McIver	0.0789431
Faulk	0.0786873
Dunston	0.0786273
Coia	0.0785502
Schott	0.0783444
Hensley	0.0782825
Mitnick	0.0779502
Agca	0.0775336
Dorsett	0.0775091
Cordero	0.0773025
"Ruiz Massieu"	0.0772657
Appleby	0.0771968
Skiles	0.0771871
Clancy	0.0767838
Manbar	0.0767433
Stumpel	0.0767359
Krajisnik	0.0767154
Lugo	0.0766305
Ceballos	0.0765854
leeson	0.0765213
Chevenement	0.0765108
Harrelson	0.0763667
McSorley	0.076366
Regan	0.0762228
Sabonis	0.0761861
Hasselbeck	0.0758704
Seanez	0.0758113
Bakaly	0.0758068
Richter	0.0757936
Tran	0.0757127
Moehler	0.0756525
Kimes	0.0755964
Hoke	0.0755202
Fortson	0.0753692
Gritz	0.0753283
Sharma	0.0751627
Sheinbein	0.0750974
Newsome	0.0749414
Marquez	0.0749085
Pittman	0.0747369
DeBerg	0.0746419
Oviedo	0.0745981
Dorsey	0.0745844
Fassett	0.0743866
"Kyle Brady"	0.074267
Lieberthal	0.0741213
Kealy	0.0740444
Kalejs	0.0740007
Keane	0.0738815
Elster	0.073696
Brisby	0.0735508
Barton	0.0734719
Jonsson	0.07345
Mcbride	0.0733992
Cabrera	0.0732374
Faulder	0.0731091
"Windrell Hayes"	0.0730116
DeShields	0.0729915
Woodforde	0.0729097
Fuhrman	0.0728983
Rosa	0.0728585
Jewell	0.0726121
Laudor	0.0723248
))
(CHN (desc 2717.84) (sims
FRA	0.158937
Ru	0.157621
Ita	0.13925
ESP	0.123621
GER	0.122979
kor	0.111204
AU	0.107495
rom	0.107103
SUI	0.0945171
Reynard-Honda	0.0829093
RSA	0.0787527
"DPR Korea"	0.0752968
NED	0.0709025
"LA Lakers"	0.0636972
Taipei	0.0634625
"Netherlands Antilles"	0.0634089
Hongyuan	0.0627664
Aprilia	0.0598045
Pol	0.0572417
Kirghizstan	0.0569845
Ducati	0.0565361
"Chen Jing"	0.0559998
Hun	0.0548139
Guernsey	0.0530941
R-PA	0.0523971
outhit	0.0501267
countrywoman	0.0481514
Jonsson	0.0478458
Karlsson	0.0462542
Kawasaki	0.0453094
Netherland	0.0449118
Wei	0.043816
"Wang Chen"	0.0436855
Samoa	0.0423438
"Jackson State"	0.0422308
Andrei	0.0421338
Tonga	0.0413776
"Hiroyasu Shimizu"	0.0411457
"Bjarte Engen Vik"	0.0401809
))
(Cho (desc 5726.88) (sims
Kang	0.109462
Imperatori	0.0969656
"Jin Ho Cho"	0.095051
Winkler	0.093058
Moyer	0.0907845
Mulholland	0.089545
Rhee	0.0875146
Woodard	0.0874563
Gooden	0.0868815
Burkett	0.0862674
Padilla	0.0861873
Kiareldeen	0.0837405
Hwang	0.0837356
Lee	0.0836701
Whitsitt	0.0832846
Chen	0.0829823
"Brian Rose"	0.0822125
Kim	0.0821594
Isringhausen	0.0820805
Schmidt	0.081128
Olson	0.0808235
Radke	0.0805855
Moehler	0.0805253
Indyk	0.0799176
Hawkins	0.0789091
Saberhagen	0.0780382
Daft	0.0778103
Lazarenko	0.0771143
Nagy	0.0764734
Harnisch	0.0763982
Kirkpatrick	0.0763376
Washburn	0.0762608
estes	0.0759873
Fassero	0.0752329
Bohanon	0.0749516
Hershiser	0.0748575
Bottenfield	0.0746798
Choi	0.074313
LeBlanc	0.0739101
Levine	0.0737095
Mercker	0.0735931
Ortiz	0.0735262
Leiter	0.0732563
Rojas	0.0725865
Sanchez	0.0720821
Schilling	0.0720225
Rusch	0.071943
Dreifort	0.0718713
Mullin	0.0718383
Mcbride	0.0715854
Ni	0.0715214
Stottlemyre	0.0713679
Edelstein	0.0710921
Bennett	0.0710334
Remlinger	0.0708905
Hu	0.0706416
Cheng	0.0706002
Rao	0.0699032
Ghalib	0.0696915
Chevenement	0.0696186
Hashimoto	0.0695914
Shelton	0.0695413
Olivares	0.06927
Schoeneweis	0.0691506
Ralston	0.0690788
Cavallo	0.0690257
Etherton	0.068839
Erickson	0.0686102
Chavalit	0.0685989
Wang	0.068552
"Doug Davis"	0.0684873
Ntakirutimana	0.0682497
Kalejs	0.0682032
Bulatovic	0.0680051
Gagne	0.0678542
"Bryce Florie"	0.06776
Schourek	0.0677555
Richardson	0.0674919
Velayati	0.0673458
Pena	0.0673409
Benitez	0.0673342
"Russ Ortiz"	0.0672572
Ikeda	0.0672018
Baldwin	0.0668007
Daley	0.0667894
Chung	0.0666165
Egan	0.0665458
Kuhn	0.0665315
xu	0.0665241
Bustamante	0.0664977
Donohue	0.0664944
Candiotti	0.0664285
Xiong	0.0663673
Perez	0.0662267
Alvarez	0.0662034
Fernandez	0.0661259
Mori	0.0659545
Faget	0.0659386
Moratinos	0.0658985
Wei	0.0656652
perry	0.0655585
"Mark Portugal"	0.0653305
Belcher	0.065271
Poole	0.0652232
Sele	0.06484
"De Soto"	0.0647246
Pavano	0.0646319
Witt	0.0645318
Neagle	0.0644571
Mlicki	0.0644505
Zhang	0.064413
Croshere	0.0642468
Bartley	0.0642334
Rapp	0.0641621
Shayler	0.0641076
Jimenez	0.0640579
Fiorina	0.0639466
DIMON	0.0639423
Haynes	0.063909
Verney	0.0637213
Deri	0.0636937
Azad	0.0636317
Dickson	0.063626
Mandelson	0.0635239
Soyinka	0.0635101
McCurry	0.0632539
Irabu	0.063131
Mordechai	0.0631303
Mokhehle	0.063038
Advani	0.0629913
Morrison	0.0629868
Hoffman	0.0629758
Sergeyev	0.0629369
Marineau	0.0627847
Wendell	0.06255
Holmes	0.0625378
Manuel	0.0624751
Watson	0.0623913
Calhoun	0.0623473
Hong	0.0622521
Yu	0.0622371
"Tim Wakefield"	0.0622319
Ahmed	0.0622233
Ayala	0.0621965
Greenfield	0.0621586
Obuchi	0.0621255
Castillo	0.0621227
Gardner	0.0621141
Villar	0.062075
Reyes	0.0620306
Antley	0.0620034
Mohamed	0.0619172
Priebke	0.0618825
Benes	0.06182
Haas	0.0617197
Gravano	0.0617145
Millwood	0.0616997
Ruehe	0.061614
McQueen	0.0615989
Hodler	0.0615926
Shi	0.0615811
"Pat Rapp"	0.061544
Pfeiffer	0.0615283
Rashid	0.061481
Gilkey	0.0613757
Ortega	0.0611428
Morgan	0.0611418
Betts	0.0609261
Brister	0.0608867
Weisman	0.0607127
Snyder	0.0606975
Ritter	0.0604782
Rueter	0.0604449
Khannouchi	0.0603894
Stepashin	0.0603372
Kurtz	0.0602453
Wiranto	0.0602428
Perdue	0.0601752
Danforth	0.0601738
Lindsey	0.0601647
Elarton	0.0600705
Henley	0.0600618
Ciampi	0.0600026
Crabtree	0.0598398
Saleh	0.0597965
Karbaschi	0.0597603
Popovich	0.0597509
Paxon	0.0597114
Holtz	0.0596849
Grossman	0.0593662
Berger	0.0593597
Jamison	0.059331
Hirschfeld	0.0593264
Thompson	0.0593092
Supachai	0.0592176
Mantei	0.059198
Jennings	0.0591768
Soliah	0.0591471
Isner	0.0590118
Zimmer	0.0589456
))
(Choate (desc 1740.2) (sims
Hagelin	0.198455
Fulani	0.14894
Verney	0.144533
Finkel	0.124989
Gargan	0.124361
Harmoko	0.119693
Troussier	0.114934
Hybl	0.114927
Jayakumar	0.105883
Joklik	0.104609
Ratliff	0.102848
Ebersol	0.102047
Azizah	0.101379
Bettman	0.10119
Meissner	0.100215
Carollo	0.0984876
Daft	0.0984766
Qureshi	0.0979688
Solis	0.0971238
Tarawneh	0.0969539
Koskinen	0.0966401
Alioto	0.0964477
Insulza	0.0962243
Nader	0.0961533
Garcetti	0.0958314
McConnell	0.0949797
Paxon	0.0942272
Molinari	0.0941774
Prewitt	0.0938677
Rove	0.0935198
Rosenthal	0.0929869
Harkin	0.0927409
Rais	0.0927075
Majko	0.0923091
Leavitt	0.0922629
Zeroual	0.092145
Hirschbeck	0.0918941
Weldon	0.0915108
Flanagan	0.0913488
Rubenstein	0.0912538
Valenti	0.0912259
Copeland	0.0907538
Keenan	0.090749
Takeshita	0.0907306
Rossotti	0.0906814
Perot	0.0905941
Neulander	0.0904036
Romanowski	0.0901186
Heinrichs	0.0900899
Gullikson	0.0898363
Podesta	0.0896674
Weisman	0.0895263
Siazon	0.089488
Lundy	0.0893838
Naumann	0.0891657
Hamlin	0.088418
Garza	0.0884134
Vogts	0.0879735
Romar	0.0879066
Upton	0.0876754
Rahal	0.0876333
Ganassi	0.0875665
Montiel	0.0873319
DeFrantz	0.0873065
Alatas	0.0872838
Faget	0.087282
Schuerholz	0.0872237
Mandelson	0.086242
Harris-Lewis	0.0860422
Ventura	0.0860146
Passarella	0.0859649
Ruehe	0.0859293
Maritz	0.0855417
Hodler	0.0853271
Linder	0.0852279
Verniero	0.0850931
Murad	0.0850923
Berenson	0.0846345
Hyman	0.084526
Reilly	0.0844548
Satcher	0.0842043
Henley	0.0833211
Samuelson	0.0833143
Chevenement	0.0831346
Sharpe	0.0829765
Maldini	0.0829705
Bhattarai	0.0827612
Caddell	0.082733
Cowan	0.0826422
Camacho	0.0824762
Lehane	0.0822476
BURNHAM	0.0820327
Moakley	0.081985
Bizimungu	0.0815282
Olsen	0.0812908
Brownback	0.0812533
Devine	0.0808586
Rosen	0.0806997
Buzek	0.0805573
D'Alessandro	0.0804046
Allchin	0.0803572
Solich	0.080349
Donahue	0.0801358
Barros	0.0800365
Pappas	0.0799161
Nadler	0.07965
Milbury	0.0795876
"Al Fayed"	0.0795527
Poole	0.0794655
Pelosi	0.0791616
Layden	0.0790962
Leyland	0.0790049
LaPierre	0.0789544
Bassett	0.0787523
Blumenthal	0.0786305
Schmid	0.0785691
Manley	0.0784955
Rothenberg	0.0784337
Tauzin	0.0783105
Nazarbayev	0.0782708
Abernathy	0.0782686
Mikhailov	0.0782272
Alderson	0.0782102
Lindland	0.0781021
Skiles	0.0779999
Fagan	0.0779412
Kodikian	0.0779305
Malu	0.0778313
Cayugas	0.0777776
Faulder	0.0775598
Gramm	0.0774567
Piot	0.0774445
"Jim Nicholson"	0.0774046
Gorter	0.0772803
Tsang	0.0772602
Poplasen	0.0772192
"Earnhardt Jr."	0.0771016
Mandella	0.0769038
Alarcon	0.0768891
Dragila	0.0768083
Gosper	0.076801
Quayle	0.0767991
Coelho	0.0767112
Fleischer	0.0765937
Ainge	0.07656
Merlino	0.0764912
Mauro	0.076474
Rivlin	0.0763732
Stahl	0.0763454
McGowan	0.0762426
Rahman	0.0761504
Idris	0.0760083
Kesri	0.0759701
Mudge	0.0756452
"Tim Fischer"	0.075621
Xiang	0.0756112
Marineau	0.0753137
singleton	0.0753095
Camdessus	0.0752929
"administration official"	0.0752478
McCurry	0.0751743
Rosenblatt	0.075167
Bildt	0.0750249
Singson	0.0749396
Engler	0.074936
Waxman	0.0748789
Catacosinos	0.0748235
Jovanovic	0.0748111
Hirsch	0.0747097
looper	0.0746569
Donohue	0.0745383
Jenoff	0.0745131
McCabe	0.0743881
Gormley	0.0743278
"Marianne Gingrich"	0.0742729
Ogata	0.0742568
Grossman	0.0742528
Cremins	0.0742364
Gilman	0.0741627
Coen	0.0741612
Ikeda	0.0741576
Ponciano	0.0741398
Beilin	0.0740552
McGuire	0.0739811
Lafontaine	0.0735865
Ruggiero	0.0735632
Wolfson	0.0734671
Rylander	0.0734251
Morse	0.073409
Zhirinovsky	0.0733898
Brenner	0.0733264
Lau	0.0732909
"Lloyd Bentsen"	0.0732653
Hoddle	0.073262
Nikitin	0.0732439
Engelberg	0.0731531
Rendell	0.07306
Wamba	0.0730153
Donnan	0.0728911
Canady	0.0728756
))
(chock (desc 2883.67) (sims
"duffel bag"	0.0486889
one-timer	0.0429577
"Department of Fish"	0.0421992
wheelbarrow	0.0408221
))
(chocolate (desc 44247.5) (sims
butter	0.190491
cheese	0.187752
vanilla	0.183997
sugar	0.177985
candy	0.16855
pecan	0.164759
"ice cream"	0.162797
"whipped cream"	0.159295
cream	0.157037
bread	0.15641
coconut	0.152915
cooky	0.152291
milk	0.151288
cake	0.148361
caramel	0.147038
flour	0.146063
honey	0.145826
sauce	0.145473
"cream cheese"	0.143359
vinegar	0.143031
fruit	0.142689
nut	0.141996
coffee	0.141347
wine	0.139153
raisin	0.139069
"brown sugar"	0.138452
salt	0.137752
tomato	0.137714
"lemon juice"	0.137128
"orange juice"	0.136514
marshmallow	0.133916
yogurt	0.133811
vegetable	0.133631
hazelnut	0.133347
onion	0.132568
buttermilk	0.132278
juice	0.132238
"olive oil"	0.131406
margarine	0.130896
"peanut butter"	0.130197
liqueur	0.130004
raspberry	0.129689
"bittersweet chocolate"	0.129426
meat	0.129253
egg	0.12848
"milk chocolate"	0.128295
"egg yolk"	0.127811
pasta	0.126384
almond	0.125774
"sour cream"	0.125546
mint	0.125504
cereal	0.125503
pastry	0.124113
pineapple	0.12355
potato	0.123159
spice	0.12261
rum	0.122346
cocoa	0.121139
soup	0.120913
lemon	0.120799
tea	0.119071
Beer	0.118298
syrup	0.117963
"evaporated milk"	0.117884
Cherry	0.117843
strawberry	0.11745
chicken	0.116915
mayonnaise	0.116308
mixture	0.115971
mustard	0.115737
crumb	0.114435
cinnamon	0.114363
peach	0.114202
ginger	0.113672
mushroom	0.113541
Garlic	0.113506
peanut	0.113494
walnut	0.113315
berry	0.113231
sandwich	0.111704
truffle	0.111425
"egg white"	0.111031
cookie	0.110917
drink	0.11018
half-and-half	0.109879
"soft drink"	0.109651
sausage	0.109537
"coconut milk"	0.109215
"fruit juice"	0.109009
"vegetable oil"	0.108737
soda	0.108162
powder	0.108111
banana	0.108053
bean	0.107705
fudge	0.107444
"white wine"	0.107401
cracker	0.107292
biscuit	0.106657
Basil	0.105922
apple	0.105524
herb	0.104688
"macadamia nut"	0.104189
dessert	0.103967
"maple syrup"	0.103507
"heavy cream"	0.103405
blueberry	0.103111
popcorn	0.102403
noodle	0.10238
"lemon zest"	0.10188
pepper	0.101654
olive	0.101148
snack	0.100932
"goat cheese"	0.100921
"lime juice"	0.100801
food	0.100379
"dried fruit"	0.10008
apricot	0.0998828
caviar	0.0997466
grape	0.0996646
salad	0.0995423
champagne	0.099213
puree	0.0991243
pork	0.0990606
broth	0.0990466
"dairy product"	0.098795
carrot	0.0987506
Orange	0.0984096
Parmesan	0.0981836
beef	0.097454
shortening	0.0973206
parsley	0.0973125
TART	0.097155
corn	0.0969415
frosting	0.0968339
rice	0.0967752
"corn syrup"	0.0966208
bacon	0.0962778
Liquid	0.0961731
"soy sauce"	0.0961728
"potato chip"	0.0959807
flavor	0.0959551
fig	0.0951179
pear	0.0950021
"pine nut"	0.094575
ham	0.0945564
custard	0.0944755
jelly	0.0943981
seasoning	0.093884
mozzarella	0.0937858
mango	0.0937471
molasses	0.093704
pumpkin	0.093491
sweet	0.093313
shallot	0.0932018
vodka	0.0928416
slice	0.09232
cornmeal	0.0921979
dough	0.0920921
shrimp	0.0916948
oil	0.0914597
cheesecake	0.091451
dish	0.0914357
pistachio	0.0913638
chip	0.0912207
pie	0.0908811
pizza	0.0908299
"red wine"	0.0907674
"green onion"	0.090724
tortilla	0.0903058
"condensed milk"	0.090133
Pudding	0.0896974
"tomato sauce"	0.0896968
cilantro	0.0891737
"whipping cream"	0.0888746
paste	0.088643
cornstarch	0.0885295
"cottage cheese"	0.0884444
avocado	0.0882528
fish	0.0879158
"chocolate cake"	0.0875638
"mineral water"	0.0874573
"vanilla ice cream"	0.0871741
ingredient	0.0870286
brownie	0.0870022
beverage	0.0867429
ketchup	0.0866834
nutmeg	0.0864631
Chili	0.086192
"orange zest"	0.086155
melon	0.0860523
"baked goods"	0.0854101
filling	0.0853701
pretzel	0.0851019
lemonade	0.0846719
steak	0.0844708
scallion	0.0841686
spinach	0.0839945
paprika	0.0838367
flower	0.0837689
gelatin	0.083282
))
("chocolate cake" (desc 3361.91) (sims
"pound cake"	0.159056
cake	0.15664
cheesecake	0.147952
muffin	0.142849
"pumpkin pie"	0.141998
TART	0.141363
brownie	0.129868
Pudding	0.128196
cornbread	0.125216
pie	0.124634
COBBLER	0.12286
"macaroni and cheese"	0.120042
"chocolate mousse"	0.117092
"apple pie"	0.116075
quiche	0.114796
"chocolate chip cookie"	0.113751
"potato salad"	0.113052
meatloaf	0.110131
bread	0.102968
"pecan pie"	0.102541
fruitcake	0.101588
doughnut	0.101566
cupcake	0.101257
"layer cake"	0.101229
cooky	0.100598
smoothie	0.0988785
"ice cream"	0.0986087
"cream puff"	0.0978696
biscuit	0.0967894
scone	0.0960426
Lasagna	0.0948592
pastry	0.0939794
"french fries"	0.0935883
shortcake	0.0927633
omelet	0.0924334
cookie	0.0916914
"baked goods"	0.0889885
flan	0.0888943
pizza	0.0885424
gumbo	0.0880305
Souffle	0.0877383
chocolate	0.0875638
meringue	0.0868461
"pot roast"	0.0866703
crepe	0.0860517
enchilada	0.0854093
"pie crust"	0.0853208
biscotti	0.0836102
"French toast"	0.0828527
candy	0.0823957
dessert	0.0818472
polenta	0.0813398
matzoh	0.0807973
pickle	0.0805123
sorbet	0.0803594
Casserole	0.0796096
pastrami	0.0790377
soup	0.0789057
pancake	0.0785141
spaghetti	0.0783474
"foie gras"	0.0774871
Jell-O	0.0772637
"Caesar salad"	0.077241
croissant	0.076196
"smoked salmon"	0.076086
eggplant	0.0757265
"cake mix"	0.0756656
frosting	0.0753875
"fruit salad"	0.0753093
sausage	0.0744359
brisket	0.0742611
fudge	0.0740613
salad	0.0731241
pilaf	0.0729214
waffle	0.0727291
ravioli	0.0724758
"roast beef"	0.0724345
"chicken salad"	0.072273
pasta	0.0715725
donut	0.0711515
custard	0.0704086
Fondue	0.0702184
ham	0.0695747
torte	0.0693683
matzo	0.0691963
steak	0.0687667
"whipped cream"	0.0685213
dumpling	0.0684177
"wedding cake"	0.0680972
"vegetable soup"	0.0677329
"root vegetable"	0.0674416
"scrambled egg"	0.0674414
"chicken wing"	0.0672102
popsicle	0.0672086
"iced tea"	0.0670329
yogurt	0.0670321
"chicken breast"	0.0665768
"goat cheese"	0.0665386
milkshake	0.0664898
omelette	0.0660027
Catfish	0.065971
coleslaw	0.0657736
"sweet potato"	0.065614
slaw	0.0649028
gravy	0.0648705
filling	0.0638392
Hamburger	0.063706
cheeseburger	0.063507
plantain	0.0632924
"chicken sandwich"	0.0631927
veal	0.0626407
baguette	0.0625918
"green salad"	0.0625705
"loaf of bread"	0.0623962
"pinto bean"	0.0623875
burgers	0.062301
"potato chip"	0.06215
tuna	0.061922
"hot chocolate"	0.0615687
"birthday cake"	0.0612039
cider	0.0610261
"hot dog"	0.0608887
"creme brulee"	0.0602749
paella	0.0602656
stuffing	0.0600138
crust	0.0597566
"spaghetti sauce"	0.0591176
crawfish	0.0590035
chowder	0.0589601
bun	0.0587873
cappuccino	0.058534
"collard greens"	0.058503
"filet mignon"	0.0584605
asparagus	0.0584127
spaetzle	0.0582615
"raw meat"	0.0581696
sushi	0.0579238
meatball	0.0578427
"corned beef"	0.0573473
Quince	0.0572083
takeout	0.0571195
curd	0.0570148
cutlet	0.0568392
porridge	0.0566625
lobster	0.0566293
"sea bass"	0.0565964
yam	0.0564053
stew	0.0563078
gratin	0.0561618
"corn chip"	0.0561229
pea	0.0559797
seasoning	0.0558989
tortilla	0.0556611
nacho	0.0556407
"meat loaf"	0.0555571
latke	0.0555161
taco	0.0554024
"iceberg lettuce"	0.0547157
bagel	0.0546212
dressing	0.0540058
burger	0.0539374
noodle	0.0538843
"peanut butter"	0.0536223
"cold cuts"	0.0536033
Twinkies	0.0533515
bruschetta	0.0531495
macaroni	0.0531452
bacon	0.0530314
fig	0.0529174
"side dish"	0.0527416
low-fat	0.0527174
"root beer"	0.0525983
"white bread"	0.0521694
loaf	0.0521108
lamb	0.0520436
melon	0.0520028
buttermilk	0.0518481
mango	0.0518282
"book jacket"	0.0517987
"tomato sauce"	0.0516639
pasty	0.0516544
"salad dressing"	0.0514747
jelly	0.0512407
"soda pop"	0.0509812
truffle	0.0509056
marshmallow	0.0508266
risotto	0.0508157
"jigsaw puzzle"	0.0506769
Kool-Aid	0.050547
pumpkin	0.0504849
quesadillas	0.0496066
prosciutto	0.0494324
"vanilla ice cream"	0.0493999
Chili	0.0490909
"French bread"	0.0490711
lemonade	0.0490579
"macadamia nut"	0.0485383
kebab	0.0484413
"string bean"	0.0482872
fluff	0.0480041
))
("chocolate chip cookie" (desc 2302.3) (sims
scone	0.177347
cookie	0.149747
"pie crust"	0.14942
brownie	0.143928
matzoh	0.13757
"cream puff"	0.130064
fudge	0.125814
cooky	0.122914
"apple pie"	0.115811
biscotti	0.11535
"chocolate cake"	0.113751
"french fries"	0.106481
cheesecake	0.104744
phyllo	0.103522
pasty	0.103228
focaccia	0.0998557
quiche	0.0969591
cake	0.0965002
muffin	0.0957348
Souffle	0.0947009
croissant	0.0945885
pie	0.0926968
doughnut	0.0926492
Lasagna	0.0920323
cupcake	0.0892593
"oreo cookie"	0.0886859
pesto	0.0882433
loaf	0.086788
granola	0.0864317
biscuit	0.0864262
cornbread	0.0847694
"potato chip"	0.0837699
pastry	0.0827232
"macaroni and cheese"	0.0824359
"ice cream"	0.0805592
"potato salad"	0.0803058
"barbecue sauce"	0.0800653
crust	0.0796253
"pound cake"	0.0790329
lemonade	0.078967
COBBLER	0.0785554
pizza	0.0783686
spaghetti	0.0782522
nacho	0.0778665
"root beer"	0.0776569
"baked goods"	0.0770158
coleslaw	0.0763425
guacamole	0.0758302
soda	0.0745795
shortbread	0.0741857
"birthday cake"	0.0739227
custard	0.073281
cheeseburger	0.072804
tortilla	0.0726834
meatloaf	0.072038
Hamburger	0.0719507
"loaf of bread"	0.0712779
fruitcake	0.0711867
flan	0.0711493
"hot dog"	0.0710057
"pot roast"	0.0708403
"vegetable soup"	0.0706987
"pecan pie"	0.0700062
cappuccino	0.0699797
bagel	0.0698288
popcorn	0.0691504
jelly	0.0688405
"jelly bean"	0.0678351
pretzel	0.067243
"chicken sandwich"	0.0662408
"Caesar salad"	0.0662323
Masa	0.0661266
polenta	0.0659264
pasta	0.0656839
brioche	0.0648469
taco	0.0648222
TART	0.0645471
"soda pop"	0.0643074
oreo	0.0638799
Pudding	0.063477
VC	0.0634764
"spaghetti sauce"	0.0634242
spaetzle	0.0632565
dessert	0.0630057
"pumpkin pie"	0.0629675
candy	0.0629021
"pie shell"	0.0628302
"chicken salad"	0.062816
Casserole	0.0627857
butterscotch	0.0627151
Twinkies	0.0625372
"dog food"	0.0624474
Haagen-Dazs	0.061693
shortcake	0.0615706
goody	0.0611131
dumpling	0.0602426
latte	0.0601631
brassiere	0.0601319
smoothie	0.059943
bun	0.0597903
snack	0.059612
milkshake	0.0590676
mayonnaise	0.0587907
pickle	0.05856
brisket	0.0584852
"chocolate mousse"	0.0584466
risotto	0.0579506
filling	0.0577297
"goat cheese"	0.0572216
takeout	0.056971
ravioli	0.0569148
burgers	0.0568765
pancake	0.0562606
gravy	0.0558047
"tortilla chip"	0.0557737
shampoo	0.0554762
yeast	0.0552957
donut	0.0552021
icing	0.0551411
"M&AMP;M"	0.0551299
meatball	0.0550238
"greeting card"	0.0549395
curd	0.0547595
marshmallow	0.0547169
"soft drink"	0.0545671
stuffing	0.0545458
gratin	0.0545444
tequila	0.054509
chowder	0.0540587
"chicken wing"	0.0539411
gnocchi	0.0536788
frosting	0.0536152
"salad dressing"	0.0533757
"break of serve"	0.0532561
meringue	0.05324
bruschetta	0.0531435
"tomato sauce"	0.0529786
omelet	0.0525669
"Betty Crocker"	0.052469
matzo	0.0522007
"hot chocolate"	0.052121
sushi	0.0520952
"cat food"	0.051782
"sweet potato"	0.0516095
zinger	0.0514985
Quince	0.0512178
"fruit salad"	0.0511334
cracker	0.051014
licking	0.0507421
Play-Doh	0.0502432
Pillsbury	0.0501528
chutney	0.0501117
oatmeal	0.0501019
porridge	0.0500716
"beach towel"	0.0500045
Margarita	0.0499015
Chili	0.0498737
salsa	0.0498451
Fondue	0.0497551
"meat loaf"	0.0496551
buttermilk	0.0496412
vinaigrette	0.0495713
macaroni	0.0491466
yogurt	0.0490242
"birthday card"	0.0488918
"Martin Lawrence"	0.0488388
wasabi	0.0486211
"candy bar"	0.0483185
crawfish	0.0480841
Jell-O	0.0480837
"fishing rod"	0.0480408
"gasoline bomb"	0.0480273
popsicle	0.0476291
ketchup	0.047521
sausage	0.0474979
noodle	0.0473557
queso	0.0471389
caramel	0.0470404
carrot	0.0469855
applesauce	0.0469624
"tuna fish"	0.0460554
sundae	0.045888
crumb	0.0458296
marinade	0.0452628
Furbys	0.0449873
cola	0.0448669
"wind tunnel"	0.0448458
cooker	0.0442942
"French toast"	0.0442184
"scrambled egg"	0.0442005
paella	0.0441678
tampon	0.0439687
menorah	0.0437176
burger	0.0436188
"frozen yogurt"	0.043401
Pate	0.0433065
"corn chip"	0.0432617
"peanut butter"	0.0430947
"chicken broth"	0.0430092
"life vest"	0.0429766
))
("chocolate mousse" (desc 1193.53) (sims
fudge	0.15452
polenta	0.139737
Pudding	0.134863
custard	0.121655
"chicken salad"	0.119006
"chocolate cake"	0.117092
Souffle	0.115066
COBBLER	0.108189
brownie	0.107253
meringue	0.102555
"hot chocolate"	0.102287
"tomato sauce"	0.0992377
Cheddar	0.0964816
risotto	0.0963989
pancake	0.0958513
"potato salad"	0.0951056
bonbon	0.0940672
gingerbread	0.0940573
Jell-O	0.0932568
mousse	0.0920428
scone	0.0914029
tofu	0.0911656
frittata	0.0903106
"barbecue sauce"	0.08874
sausage	0.0885029
meatloaf	0.0875717
popsicle	0.0874651
"sweet potato"	0.0858579
shortcake	0.0855955
cornbread	0.085283
"peanut butter"	0.0852651
milkshake	0.0851753
ricotta	0.084727
"frozen yogurt"	0.0842999
Margarita	0.083807
gravy	0.0837571
"Makes @"	0.0828959
quiche	0.0828762
marinade	0.0825292
sundae	0.0824621
mayonnaise	0.0822502
frosting	0.0818579
noodle	0.0811312
"Easter bunny"	0.0809532
blackberry	0.0804374
"sour cream"	0.0803382
paella	0.0798391
icing	0.0797517
hazelnut	0.0789454
chutney	0.0782606
creme	0.0774878
wafer	0.0765035
"Caesar salad"	0.0764596
salsa	0.0762574
cheesecake	0.0751481
oatmeal	0.0751273
GRIDDLE	0.0745812
"snack food"	0.0741112
broth	0.0732449
sorbet	0.0716997
Chili	0.0716141
"pot roast"	0.0700224
biscotti	0.0697945
blueberry	0.068853
"pound cake"	0.0687187
"whipped cream"	0.0687017
chowder	0.0685654
enchilada	0.0684438
pecan	0.0682591
slaw	0.0679259
fig	0.0679247
"cream puff"	0.0678742
plantain	0.0675864
"hush puppy"	0.0671071
doughnut	0.0669505
turnip	0.0667581
pumpkin	0.0666991
applesauce	0.0661874
matzoh	0.0661802
"root vegetable"	0.0657955
"French toast"	0.0651563
omelet	0.0651349
"layer cake"	0.0649873
"meat loaf"	0.0647223
eggnog	0.0646137
porridge	0.0642063
Tamale	0.0639404
pistachio	0.0636475
ex-convicts	0.0635862
"cake mix"	0.0635579
"maple syrup"	0.0635483
praline	0.0635037
pilaf	0.0631507
gnocchi	0.0631149
"goat cheese"	0.0630012
smoothie	0.0625822
dumpling	0.0619636
plum	0.0617292
"fruit juice"	0.0616884
biscuit	0.0615508
compost	0.0615199
yogurt	0.0614804
"macaroni and cheese"	0.0611189
buttermilk	0.0609753
waffle	0.0609704
fruitcake	0.0607164
liqueur	0.0605875
crepe	0.0605277
"pumpkin pie"	0.0603772
"chicken stock"	0.0602745
sauerkraut	0.0601387
"corn syrup"	0.0598733
guacamole	0.0597022
tequila	0.0595552
Casserole	0.0595063
"pineapple juice"	0.059498
omelette	0.0594109
butterscotch	0.0594072
cupcake	0.0590884
"chicken broth"	0.0589813
"powdered milk"	0.0589451
chard	0.0589405
condiment	0.0586511
"king salmon"	0.0584828
"chocolate chip cookie"	0.0584466
cheeseburger	0.0583556
pear	0.0582411
"corn chip"	0.0582383
"corned beef"	0.0577202
"scrambled egg"	0.0574174
"vegetable soup"	0.0571877
spaetzle	0.0564932
raspberry	0.0563241
curd	0.0562575
"passion fruit"	0.0560157
"macadamia nut"	0.0560028
granola	0.0559756
grits	0.0559544
appetizer	0.0557504
nectarine	0.0557013
"pepper sauce"	0.0555949
flan	0.0554371
apricot	0.055399
shortbread	0.0553885
wainscoting	0.0551146
persimmon	0.0550819
"salad dressing"	0.0547591
eggplant	0.0547086
"french fries"	0.0545586
spaghetti	0.0545503
Zinfandel	0.0544824
truffle	0.0544547
tangerine	0.0544542
espresso	0.0543898
meatball	0.0542593
"pecan pie"	0.0540964
jelly	0.0540794
vermouth	0.0540088
"about @ tablespoons"	0.0539287
"creme brulee"	0.0538334
"Southern Democrats"	0.0538076
croissant	0.0535431
"bittersweet chocolate"	0.0531075
splotch	0.0530842
"chicken wing"	0.0529704
cranberry	0.0528414
"apple pie"	0.0528107
"root beer"	0.0525628
miso	0.0524572
coleslaw	0.0524127
Broccoli	0.0524107
tapa	0.0523476
concoction	0.0523369
"frozen food"	0.0523234
marmalade	0.0523033
pineapple	0.052294
"poppy seed"	0.0520779
popcorn	0.0520464
seashell	0.0520444
MOCHA	0.0516146
taco	0.0515616
"cream sauce"	0.051501
lemonade	0.0512745
gumbo	0.0512367
ravioli	0.051113
"black-eyed pea"	0.0510763
"vanilla ice cream"	0.0510584
raisin	0.0510525
"Sara Lee"	0.0509782
matzo	0.0503319
calamari	0.050288
canker	0.0502436
"spring roll"	0.0502426
Menudo	0.0502345
"spaghetti sauce"	0.0502089
"coconut milk"	0.0499651
"foie gras"	0.0498538
breadcrumb	0.0498508
"roast beef"	0.0496776
beet	0.0495399
))
(Choi (desc 2941.19) (sims
guo	0.109991
Rosenblatt	0.10632
Nazarbayev	0.102362
Lipponen	0.0991753
Tua	0.099122
Insulza	0.0967774
Cai	0.0960179
Luo	0.0944421
Juncker	0.0938228
Solis	0.093351
Constantinescu	0.0931752
Strauss-Kahn	0.0929158
Advani	0.0926046
Koo	0.0922088
Hsu	0.0919715
Wolfensohn	0.0919264
Diouf	0.0900595
Yu	0.0899189
Chissano	0.089513
Jovanovic	0.0891277
Saleh	0.0886493
Arroyo	0.0885963
"de Charette"	0.0880206
Kang	0.0875549
Zou	0.0871551
Ruelas	0.0868852
Atler	0.0868295
Qu	0.0865923
Finkel	0.0865487
Irvan	0.0862845
Rodionov	0.0853
Conte	0.0851424
Kasoulides	0.084993
Fraga	0.0843285
Zhang	0.0836166
Huang	0.0825546
Jong	0.0825198
Ruehe	0.0824803
Hu	0.0820916
Phieu	0.0820703
Xiong	0.0815122
Troussier	0.0812282
Gu	0.0808686
Katsav	0.0807511
Velayati	0.0807129
Wong	0.0806881
Qiao	0.0806353
Severino	0.0805828
Guterres	0.08039
Dehaene	0.0803302
Passarella	0.0801463
Bierhoff	0.0796489
Laperriere	0.0795705
Mayweather	0.0795256
Okada	0.0794695
Naumann	0.0793537
Brundtland	0.0791858
Nujoma	0.0789126
Samuelson	0.0785418
Banharn	0.0785082
Butyrskaya	0.0784497
Wu	0.0780934
Stroyev	0.0777724
Mkapa	0.0777499
xu	0.0773984
Ratner	0.0773642
Chen	0.0773296
Ciampi	0.0771637
Gimelstob	0.0767809
Myhrvold	0.0767415
Stoyanov	0.0767322
Moratinos	0.0766723
Liang	0.0763785
Akayev	0.0761455
Zambrano	0.0760032
Hanley	0.0759539
Tapia	0.0758011
"administration official"	0.0755916
Fiorina	0.075412
Garcetti	0.075394
Talebi	0.0753504
Zhirinovsky	0.0752083
Botha	0.0750864
Savarese	0.0750819
Johnston	0.0749658
Cao	0.0748266
Chavalit	0.0748078
Ikimi	0.0746507
Hong	0.0746168
Ikeda	0.0745296
Schmid	0.0744132
Barrie	0.0743774
Cho	0.074313
Ding	0.0741579
Piot	0.0741442
Juppe	0.0741048
Yao	0.0740108
Siazon	0.0739289
Driscoll	0.0738928
Zeng	0.0736041
Khannouchi	0.0735947
Pustovoitenko	0.073356
Ortega	0.0732333
Tian	0.0731051
Ferrer	0.0730898
Ghalib	0.0730388
Tocchet	0.0729356
Meissner	0.0727858
Izetbegovic	0.072782
Appleby	0.0727681
Yong	0.072337
Jayakumar	0.0723258
Cheng	0.0722567
Faget	0.0722496
Daniels	0.0722248
Lin	0.0720566
Geiger	0.0719815
"Dave Campo"	0.0719744
Chung	0.0718258
Lacroix	0.0716463
Rahman	0.0716287
Laudrup	0.0715563
Medvedev	0.071529
Reimer	0.071507
Baerga	0.0715005
chun	0.0714913
Li	0.0714592
Pfeiffer	0.0714333
Niyazov	0.0713449
Sheehan	0.0713062
Rasmussen	0.0712156
Gogel	0.0712073
Meguid	0.0711775
Sampaio	0.0710545
Muoi	0.0710389
Tobin	0.0708215
Shamshad	0.0707905
Poole	0.0707452
Fu	0.0707261
Wang	0.0706795
Biffle	0.0706091
Cowan	0.0705762
Auriemma	0.0705086
Schmitt	0.070416
Rifkind	0.0704136
Azinger	0.0703003
Flores	0.0699133
Narayanan	0.0698537
Gambill	0.0697271
Waxman	0.0693751
Wilhelm	0.0693749
Summitt	0.0693356
Kumaratunga	0.0692784
Eizenstat	0.0691781
Hawke	0.0690676
Ganga	0.0689861
Blatter	0.0689534
Tverdovsky	0.0689521
Liu	0.0689482
Zeroual	0.0688712
Andreychuk	0.0686473
Beilin	0.0686406
Zuma	0.0685141
Nzo	0.0684582
Atwood	0.0684327
Egan	0.0684187
Tong	0.0683991
Gujral	0.0683446
Azizah	0.068338
Hasan	0.0682633
Shi	0.0682112
Sato	0.068155
Surin	0.0681251
McCurry	0.0679675
Heinrichs	0.0679527
Colangelo	0.067903
Cayard	0.0678616
Iglesias	0.0676251
Herzog	0.0676235
silber	0.0676054
Havel	0.0674377
"Tim Fischer"	0.0674334
Singson	0.0673806
Zadornov	0.0673518
Kornberg	0.0672224
"Golden Hurricane"	0.0671458
Ji	0.0670921
"Than Shwe"	0.0669123
Ralston	0.066873
Asprilla	0.0668494
Gowda	0.0667235
Satcher	0.0666319
Fagan	0.0665931
Shulman	0.0665703
Flanagan	0.0663332
Kostunica	0.0662327
Marichal	0.0661782
Colburn	0.0661189
Leung	0.0660912
Marquez	0.066081
))
(choice (desc 195883) (sims
selection	0.147661
pick	0.142048
option	0.120131
decision	0.11201
candidate	0.104002
idea	0.099931
favorite	0.0974585
nomination	0.0921135
alternative	0.0914589
opportunity	0.0913339
change	0.0892575
nominee	0.0886369
thing	0.0878489
action	0.0873688
question	0.0870263
experience	0.0857262
difference	0.0853868
prospect	0.0852649
policy	0.0831805
approach	0.0828177
issue	0.0827078
one	0.0823686
outcome	0.0820396
position	0.082023
chance	0.0817065
plan	0.0816801
possibility	0.0815834
strategy	0.081417
quality	0.0811397
behavior	0.0807005
role	0.080633
kind	0.080071
problem	0.0795382
preference	0.0795326
move	0.0793221
appointment	0.0789499
challenge	0.0788525
interest	0.078454
job	0.0783715
need	0.078201
vote	0.0781053
name	0.0772167
type	0.0768305
method	0.0767573
proposal	0.0766538
player	0.0765086
task	0.0764278
ability	0.0760748
result	0.0759596
answer	0.0758964
priority	0.0758673
right	0.0758385
responsibility	0.0757967
success	0.0757895
number	0.0757309
fact	0.0755494
use	0.075374
"running mate"	0.0749432
performance	0.0748859
support	0.0747422
advice	0.0746615
timing	0.0741293
list	0.073549
opinion	0.0735369
relationship	0.0734713
style	0.0732053
judgment	0.0729614
benefit	0.0728447
desire	0.0728019
size	0.0726995
life	0.0723984
solution	0.0723298
design	0.0722927
response	0.07218
standard	0.0719542
situation	0.0718564
recommendation	0.0716779
"tax cut"	0.0716373
variety	0.0715808
matter	0.0715806
future	0.0715561
suggestion	0.0715095
vision	0.0713199
education	0.0708959
concept	0.0708541
measure	0.0708351
way	0.0707294
content	0.0706885
view	0.070503
thinking	0.070449
contender	0.0703785
feeling	0.0701381
thought	0.0698395
advantage	0.0697156
front-runner	0.0696651
word	0.0692404
deal	0.0691754
distinction	0.0689925
access	0.0688945
aspect	0.0686885
comment	0.068655
place	0.0686445
money	0.0685761
information	0.0684539
taste	0.0683417
it	0.0680808
attitude	0.0680751
tactic	0.0680668
winner	0.0680421
image	0.0676716
speech	0.0676389
value	0.0676073
something	0.0675905
achievement	0.0674162
mistake	0.0674065
sort	0.0673618
coverage	0.0673513
detail	0.0672469
victory	0.0672167
candidacy	0.0671204
initiative	0.0670697
program	0.0670409
work	0.0670304
proposition	0.0670201
message	0.0669951
draft	0.0668425
tool	0.0668216
knowledge	0.0667464
term	0.0667328
subject	0.066686
competition	0.0666147
presence	0.0665942
concern	0.0665037
habit	0.0664342
development	0.0664331
endorsement	0.0663813
skill	0.0661442
status	0.0661209
that	0.0659225
finding	0.0657937
diversity	0.0657321
personality	0.0657072
some	0.065679
compromise	0.0656488
truth	0.0654985
factor	0.0654448
safety	0.0654017
explanation	0.0653231
character	0.0653231
scenario	0.0652921
effort	0.0652851
perception	0.0652591
accomplishment	0.0652463
description	0.0652314
all	0.0652139
service	0.065176
reason	0.0651337
lack	0.0650339
talent	0.0649751
freedom	0.0649164
willingness	0.0648934
flexibility	0.06487
failure	0.0648355
treatment	0.0647777
direction	0.0646612
intention	0.0646584
gift	0.0645781
reality	0.0645659
procedure	0.0644495
record	0.0644304
interpretation	0.0643572
dilemma	0.0643421
participation	0.0642439
process	0.0641816
nature	0.0641579
combination	0.0641523
identity	0.0640809
risk	0.0640323
case	0.0640282
reform	0.0639334
goal	0.0639235
election	0.0638204
story	0.063807
reaction	0.0637979
bill	0.0637335
news	0.0637234
philosophy	0.063708
offer	0.0636733
any	0.0635142
loss	0.0634519
difficulty	0.0634478
abortion	0.0634298
stance	0.0634278
statement	0.0633809
arrangement	0.0633728
trend	0.0633667
error	0.0633279
this	0.0632693
part	0.063264
demand	0.0630848
))
("choice of words" (desc 1379.33) (sims
penmanship	0.0773171
sidelight	0.0752738
Ruehe	0.0749581
"turn of events"	0.0728365
doer	0.0728106
renomination	0.0721719
parsing	0.0719946
hyphen	0.0648243
epitaph	0.0646114
"frame of mind"	0.0641964
"tone of voice"	0.062635
hypothesis	0.062541
juxtaposition	0.0612823
toupee	0.0612711
"rule of thumb"	0.0608554
"house painter"	0.0593691
reappointment	0.059251
outspokenness	0.0588043
"sense of direction"	0.0580794
stat	0.0578212
judgement	0.0574667
"credit history"	0.0574121
"oil slick"	0.0572407
postscript	0.0571081
"sanitary condition"	0.0560003
perusal	0.0554074
knuckleball	0.0541833
expedient	0.0537072
Jarrell	0.0520659
behaviour	0.0519102
inkling	0.0515968
prognostication	0.0515462
enumeration	0.0514991
"bag of tricks"	0.0514448
"line of work"	0.0511844
soulmate	0.0509648
"camera angle"	0.0509579
plural	0.050866
tangent	0.0508569
abdication	0.0504386
encyclical	0.0502088
"piece of work"	0.0494431
sobriquet	0.0493179
"magazine article"	0.0488238
"one bit"	0.048669
meatpackers	0.0484437
bloke	0.0484285
"won-lost record"	0.0479231
misreading	0.0478372
axiom	0.0475836
tidbit	0.0474275
paradox	0.0471167
"sense of smell"	0.0470082
paucity	0.0469469
tidings	0.046914
analogy	0.0466567
vagueness	0.0466479
"birthday present"	0.0465072
Kromah	0.0464084
prognosis	0.046275
"registration number"	0.0460998
ogre	0.0460693
feelings	0.0460445
"farm boy"	0.0458974
Auger	0.0458738
culpa	0.0458324
subtext	0.0455774
wretch	0.0455603
record-keeping	0.0454158
"time of year"	0.0454153
"time slot"	0.0453267
monograph	0.0453021
analyses	0.045251
chancellery	0.0451096
"pubic hair"	0.0448823
misperception	0.0447999
ACL	0.0446458
bloodhound	0.0442091
"round of golf"	0.0438871
"expression of regret"	0.0437572
supposition	0.0436454
addendum	0.043621
ACB	0.043606
sportsmanship	0.0433883
Banzer	0.0432332
imp	0.0431831
AHA	0.0430152
coinage	0.04301
omission	0.0429468
omen	0.0427775
pun	0.042621
pinkie	0.0425812
"chip shot"	0.0424521
misspelling	0.0424199
"legal representation"	0.0423287
"trump card"	0.0419031
enquiry	0.0418118
eats	0.0418084
about-face	0.0418038
"Gallup Poll"	0.041772
"fly rod"	0.041764
go-round	0.0413243
"test drive"	0.04125
emulator	0.0411185
ballgame	0.0410734
earpiece	0.0409499
Ecuadorian	0.040877
stepchild	0.0408006
assertiveness	0.0407488
"pen pal"	0.0402831
prosthesis	0.0402501
Vermonter	0.0402233
punting	0.0402065
oratory	0.040195
"inaugural address"	0.0401059
"compromise plan"	0.0400716
))
(choir (desc 20576.8) (sims
chorus	0.145393
orchestra	0.139006
ensemble	0.114175
troupe	0.107479
band	0.101418
quartet	0.0964623
"symphony orchestra"	0.0951606
congregation	0.0902882
"opera company"	0.088971
Chorale	0.0845509
symphony	0.0829558
soloist	0.080645
hymn	0.0804764
musician	0.0781548
quintet	0.0759397
singer	0.0754453
"military band"	0.0746625
"jazz band"	0.0725
"big band"	0.0723382
"New York Philharmonic"	0.0716064
"chamber music"	0.07122
opera	0.0702056
bagpipe	0.0695398
dancer	0.0692181
"folk song"	0.0690295
singing	0.0689647
ballet	0.0682703
"rock band"	0.0679964
recital	0.0656568
parishioner	0.0656548
"Boston Symphony Orchestra"	0.0650457
piano	0.0635551
"ballet company"	0.0630931
concert	0.0630136
"Vienna Philharmonic"	0.0627803
sextet	0.0621447
"brass band"	0.0617939
"string quartet"	0.0616378
"Wynton Marsalis"	0.0616
pastor	0.0614807
trio	0.0613624
vocalist	0.0599585
solo	0.0596388
percussion	0.0593452
saxophone	0.0593186
Deacon	0.0580639
Beatles	0.0577143
acrobat	0.0575827
tenor	0.0572641
organist	0.0569347
guitar	0.0564219
cello	0.0563911
pianist	0.056383
concerto	0.056362
violin	0.055807
duet	0.0554044
worshipper	0.0547355
Jazz	0.0547257
"E Street Band"	0.0540661
drummer	0.0536474
"Philadelphia Orchestra"	0.0533369
clarinet	0.0533182
"Sunday school"	0.0529805
"Ballet Theater"	0.0528792
trombone	0.0524628
pew	0.0518892
"honor guard"	0.0518159
performer	0.0514816
Flute	0.0513671
dancing	0.0511809
theater	0.0511023
juggler	0.0510464
clergy	0.0509059
acrobatics	0.0507895
"Bruce Springsteen"	0.0504761
"folk music"	0.0503694
worshiper	0.0501353
"Frank Sinatra"	0.0496878
priest	0.0493617
harmony	0.0493426
preacher	0.049341
"folk dance"	0.0492594
mime	0.0492438
percussionist	0.0491116
baritone	0.0489271
"Rolling Stones"	0.0487002
cheerleader	0.0485827
"N Sync"	0.0484116
entertainer	0.0481896
sorority	0.0481761
"Beijing Opera"	0.0477565
soprano	0.0477274
Philharmonic	0.0477168
drum	0.0476963
"City Ballet"	0.047554
"Spice Girls"	0.0472744
oratorio	0.0471938
Springsteen	0.0471585
"Bob Dylan"	0.0467996
conductor	0.0467417
Aria	0.04643
ASO	0.0462761
"ballet dancer"	0.0461238
aerobics	0.0460717
"Boston Symphony"	0.0460527
congregants	0.0457185
rector	0.0456851
"classical music"	0.0456374
mourner	0.0456344
"musical instrument"	0.0453489
"theater company"	0.0452268
musical	0.0450368
saxophonist	0.04464
harp	0.0445634
"national anthem"	0.0445255
ballad	0.044218
vocals	0.0441998
"rhythm section"	0.0441833
cabaret	0.0441559
"opera house"	0.0441042
firework	0.0438669
Supremes	0.0435301
repertoire	0.0434804
"Phil Collins"	0.0432889
"Paul Simon"	0.0431359
"puppet show"	0.0430579
marcher	0.0430291
Recording	0.0429946
instrument	0.0428939
"Duke Ellington"	0.042871
parish	0.0427951
Sinatra	0.042512
counselor	0.0424719
"Judy Garland"	0.0424295
"modern dance"	0.0424052
Madonna	0.0422984
throng	0.0422538
Lullaby	0.0419966
Klan	0.0419242
composer	0.0417563
lyric	0.0415929
costume	0.0415878
DJ	0.0414915
choreographer	0.041411
"New York City Ballet"	0.0413337
pageant	0.0412343
"spoken word"	0.0412329
"R&AMP;B"	0.0412179
"jazz musician"	0.0410822
theologian	0.0410817
repertory	0.0409784
bassist	0.0408428
"musical performance"	0.040754
circus	0.0407287
monk	0.0406659
spire	0.0406034
gospel	0.0406022
corps	0.0404617
Mozart	0.0404549
altar	0.0404095
liturgy	0.0403847
"song and dance"	0.0403037
Pavarotti	0.0402223
"church bell"	0.0400655
))
(choirboy (desc 1009.57) (sims
"matinee idol"	0.14346
"altar boy"	0.0907716
grownup	0.0890305
hyper	0.087412
"white person"	0.0863523
Scoonie	0.0839012
"good person"	0.0809599
techie	0.0797637
weatherman	0.0778072
molar	0.0775052
"big leaguer"	0.0772917
"risk taker"	0.0764674
supermodel	0.0758652
Fallon	0.0717889
handicapper	0.0715432
sadist	0.0693322
"James Dean"	0.0675368
firebrand	0.066723
Kimberly	0.0656111
Kurd	0.064397
"hard worker"	0.0642967
southpaw	0.0638626
"fall guy"	0.0638503
Brendan	0.0635708
wimp	0.0635551
"draft dodger"	0.0634533
first-rounder	0.0634347
"black person"	0.0628034
whore	0.0627987
slob	0.0621473
buffoon	0.0620891
"rich man"	0.0618862
"world traveler"	0.0618189
Dobson	0.0616464
Bubba	0.0615878
Scrooge	0.061051
"traffic cop"	0.0605893
bloomer	0.0595133
"young person"	0.0594511
doer	0.0594229
"farm boy"	0.0593416
Rambo	0.0590655
"boy wonder"	0.0590288
schoolboy	0.0588655
boob	0.0583838
ingenue	0.0581624
hippie	0.0570103
nigger	0.0568542
Pong	0.0564846
watt	0.0563368
outta	0.0563087
bodybuilder	0.0560365
battler	0.0558841
"important person"	0.0558346
Kincaid	0.0557692
"prima donna"	0.0557686
moron	0.0555966
Houdini	0.0551693
Iceman	0.0551296
"Don Quixote"	0.055105
Atlantan	0.0550355
"Imelda Marcos"	0.054647
queer	0.0545775
"bowling ball"	0.0544574
"British government"	0.0540814
biker	0.0539518
pro-choice	0.053858
Berliner	0.053694
Intimidator	0.0533415
"black sheep"	0.0533159
Grinch	0.0531884
"guessing game"	0.0530987
leech	0.0530835
"Georgia O'Keeffe"	0.0530124
"Wild Man"	0.0528049
scriptwriter	0.0527427
perfectionist	0.0525825
wonk	0.0524925
stuntman	0.0518807
coco	0.0518467
"guardian angel"	0.0518052
pro-life	0.0517467
bloke	0.0516903
picky	0.0513843
whiner	0.0513771
"professional golfer"	0.0513535
"the good old days"	0.0513135
taskmaster	0.051237
"New Democrat"	0.0512078
"guitar player"	0.0511909
heretic	0.0511673
"leading man"	0.0511192
egomaniac	0.0510065
Bobo	0.0509141
"private corporation"	0.0506531
"Black Panther"	0.0505779
hypocrite	0.0505449
Hick	0.0504164
"chicken coop"	0.050286
"wise guy"	0.0501944
weirdo	0.0501873
curmudgeon	0.0501792
"Jesse James"	0.0499796
"Desmond Tutu"	0.0496402
"public speaker"	0.0495286
ballerina	0.0495261
fella	0.0494587
"free spirit"	0.0492207
"Star-Spangled Banner"	0.049133
hammy	0.0491267
possum	0.0490887
procrastinator	0.0489727
Orca	0.0488508
"role player"	0.0488336
"battering ram"	0.0487998
pushover	0.0486165
ogre	0.0485846
tomboy	0.0485546
"white knight"	0.0485498
"show biz"	0.0485168
humanist	0.048222
walrus	0.0480836
geezer	0.0479172
multitasking	0.04771
hard-edged	0.047678
"hockey player"	0.04745
paraplegic	0.0472509
miler	0.0471203
Collard	0.0470731
"hanky panky"	0.0470226
"big sister"	0.0469299
scavenger	0.0468652
rooster	0.0468523
"big cat"	0.0467459
schooler	0.0467246
brat	0.0464055
has-been	0.0457369
"NBA All-Star"	0.045734
loony	0.0457304
scarecrow	0.0456843
CPA	0.0455148
snob	0.0455078
colorblind	0.0454591
wallflower	0.0451063
eighth-grader	0.0450801
Ironman	0.0448573
"making love"	0.0446941
butch	0.0446385
goal-scorer	0.0446033
junkie	0.0444629
"trump card"	0.044347
"little finger"	0.0443294
trapper	0.0441902
Aggie	0.0440763
lashing	0.0440252
"blind man"	0.0440053
dilettante	0.0439471
"drama critic"	0.0439253
impostor	0.0438668
maniac	0.0438403
"punching bag"	0.0436168
superhero	0.0436165
hands-on	0.0435796
voyeur	0.0435267
realist	0.0433577
minimalist	0.0432957
do-gooder	0.0432572
"talent scout"	0.04316
Superman	0.0431375
monarchist	0.0430365
"Rhodes Scholar"	0.0428371
preachy	0.0427826
"batting coach"	0.0426469
clergyman	0.0426353
optimist	0.0426343
Pretender	0.0426324
animator	0.042609
up-front	0.0426057
reminded	0.0425646
lollipop	0.0425504
"old times"	0.0425305
band-aid	0.0425095
motoring	0.0425087
gangsta	0.0422959
"character actor"	0.0422739
gook	0.0422223
high-gloss	0.0421525
flamethrower	0.0420239
tossup	0.041994
"sour grapes"	0.0418982
"waiting game"	0.0417385
"police sergeant"	0.0416195
"traveling salesman"	0.0415813
double-teamed	0.0415336
autocrat	0.0412881
goofball	0.041259
provocateur	0.0412106
"One hundred percent"	0.041184
Ghanaian	0.0410248
hit-and-run	0.0409249
))
(choke (desc 2252.86) (sims
thistle	0.0710016
thesaurus	0.0657529
grout	0.0649893
triangulation	0.062603
hyphen	0.0618598
nigger	0.0618484
gook	0.0614256
three-decade	0.0602763
insides	0.055656
fastbreak	0.0542906
trapeze	0.0542461
thumbs-up	0.0503403
monogram	0.0497676
zodiac	0.0491727
blinker	0.0482391
whipping	0.0480598
two-by-four	0.0479082
"three pitchers"	0.0475771
nonwhites	0.0472521
"pressure cooker"	0.0466484
"gas pedal"	0.0466131
"tree stump"	0.0464562
fabricator	0.046198
infinity	0.0461838
"gray whale"	0.0453395
"tax change"	0.045159
Rezulin	0.0451409
"Brooks Brothers"	0.0450671
"fishing gear"	0.0447337
mime	0.044009
"prostate gland"	0.0439309
sleeper	0.043799
"big cat"	0.0434511
vagrant	0.0431575
overachiever	0.0428987
sealing	0.0428147
Chianti	0.0425125
Arista	0.0423937
percentile	0.0423687
Baccarat	0.0423074
"Cliffs Notes"	0.0421682
unconsciousness	0.0418141
flea	0.0412434
"woolly mammoth"	0.0411197
borer	0.0411191
upsets	0.0410417
curler	0.0409977
wimp	0.0406962
"blue note"	0.0404938
"fuel system"	0.0404375
clitoris	0.0403656
wilting	0.0403046
"Beijing Opera"	0.0401312
))
(chokehold (desc 1032.45) (sims
stranglehold	0.146405
near-monopoly	0.131662
"electrical device"	0.0978042
presure	0.0869238
hex	0.0845192
"two fingers"	0.0821199
"fire hose"	0.0804157
"gambling casino"	0.0756253
MP@s	0.0712596
"Windows Media Player"	0.0694068
encirclement	0.0676323
"fountain pen"	0.0648217
enhancers	0.0647739
"compromise plan"	0.0634568
"production ceiling"	0.0632051
"ballpoint pen"	0.0611604
sarcophagus	0.0603508
"hydraulic system"	0.0602166
easement	0.0598696
"fishing gear"	0.0597224
muzzle	0.0595507
stanchion	0.0586027
"water line"	0.0583802
defoliant	0.0581165
"ultraviolet light"	0.058108
straitjacket	0.0577828
"inside track"	0.0577072
clenbuterol	0.0574585
imprimatur	0.0572654
logjam	0.0570619
land-use	0.0569594
"memorandum of understanding"	0.0569376
"military control"	0.0569025
crossers	0.0567589
potty	0.0565437
deflector	0.0564597
"mechanical device"	0.0561514
afterburner	0.0561339
"over @@ points"	0.0554409
"vicious cycle"	0.0548211
webcasts	0.0536534
swapping	0.0534794
identifier	0.0534578
sub-commission	0.053064
fibula	0.052905
"pedestrian bridge"	0.0521408
stanozolol	0.0520403
shredders	0.0518474
"little finger"	0.0518151
sacs	0.0517409
axle	0.0515958
"satellite receiver"	0.0515268
GST	0.0512893
"double boiler"	0.0511274
foothold	0.0510851
"Outlook Express"	0.0510588
"point system"	0.0508388
squatting	0.0506799
"water main"	0.0502218
stethoscope	0.0499577
prosthesis	0.0496945
"light touch"	0.0496464
asterisk	0.0495895
jinx	0.0495604
stylus	0.049507
"golden rule"	0.0491263
band-aid	0.0490215
airdrop	0.0490116
jawbone	0.0486777
"jigsaw puzzle"	0.0486682
"rolling pin"	0.0485602
stratagem	0.0481497
"observation post"	0.0481031
"electronic surveillance"	0.0478129
ghostwriter	0.0476993
"supply line"	0.0476895
stimulant	0.0476786
"exclamation point"	0.047208
"stroke play"	0.0470262
tampon	0.0468874
orderliness	0.0467068
databank	0.0466696
"seal of approval"	0.0466648
incantation	0.0466625
semicolon	0.0463894
defibrillator	0.0463648
"general agreement"	0.0462031
panko	0.0460441
Lowdown	0.0460394
pinkie	0.0460272
"refresher course"	0.0459633
Erythropoietin	0.0459318
Pinky	0.0458973
"white elephant"	0.0457867
"human growth hormone"	0.0454487
"hunting knife"	0.0454208
"short selling"	0.0453161
frontpage	0.0452361
"Windows CE"	0.0450146
wok	0.0448343
"futures trading"	0.0448032
"mosquito net"	0.0447745
pseudoephedrine	0.0447652
"raw data"	0.0447091
"rubber boot"	0.0445959
"ring finger"	0.0445721
aspersion	0.0445112
"sprinkler system"	0.0444825
blinder	0.0444819
"numbers game"	0.0444394
"over @@@ points"	0.0444165
usurpation	0.0444048
"Constitutional Assembly"	0.0443517
"Joint Liaison Group"	0.0443453
pillowcase	0.0442783
femur	0.0442609
"vicious circle"	0.0440707
"vocal cord"	0.0439451
"cluster bomb"	0.0439246
noose	0.0438837
"market order"	0.043883
hammering	0.0437605
"sailing ship"	0.0436188
guardrail	0.043538
vending	0.043376
snafu	0.0433447
"object lesson"	0.0433404
"eminent domain"	0.0433355
antiseptic	0.0433128
"water cannon"	0.0433062
sketchbook	0.0432524
"index finger"	0.043211
hellbent	0.0430503
snit	0.0430496
signboard	0.0428497
"Central Clinical Hospital"	0.0428226
"paramilitary organization"	0.0427508
plunger	0.0427487
"corporal punishment"	0.0427374
"Border collie"	0.0426939
stockpot	0.0426449
"oxygen mask"	0.0425697
trespasser	0.0425488
"guessing game"	0.0424967
"software product"	0.0424625
dormancy	0.0423982
carnivore	0.0423734
aorta	0.0423346
Hotmail	0.0422608
colander	0.0422373
truncheon	0.0421781
porthole	0.0420409
arbitrage	0.0420397
"tool kit"	0.0420306
filibuster	0.0419468
"social contract"	0.0418972
windscreen	0.0417976
ridership	0.0417892
"drug traffic"	0.0417108
"Passion play"	0.0416979
toehold	0.0416879
PRICETAG	0.0416701
"space heater"	0.0416392
crusher	0.0415199
"fig leaf"	0.0414928
Tous	0.0414732
MS-DOS	0.0414294
Os	0.0414206
"hair dryer"	0.0413488
hyphen	0.0411657
"nose dive"	0.0411581
diuretic	0.0411493
"skating rink"	0.041099
comma	0.041043
sickout	0.0410172
"ice pack"	0.0409236
deportee	0.0408798
WebTV	0.0408001
"Islamic Welfare Party"	0.0407261
"drug business"	0.0405937
"grocery bag"	0.0405517
"China Democracy Party"	0.0405316
excavator	0.0405302
shredder	0.0405141
lode	0.040511
"three pitchers"	0.0404873
"quota system"	0.0404157
"sphere of influence"	0.0403304
"sense of balance"	0.0403238
"tag line"	0.0401853
vibrator	0.0400586
))
(choker (desc 2466.28) (sims
brooch	0.148949
tiara	0.148708
earring	0.147802
"evening bag"	0.143311
barrette	0.140375
necklace	0.13407
bracelet	0.131767
miniskirt	0.130205
pendant	0.122655
bustier	0.11907
camisole	0.116821
headband	0.114157
amulet	0.111212
"engagement ring"	0.111173
cufflink	0.108882
miniskirts	0.108587
"hot pants"	0.108423
G-string	0.103397
pantsuit	0.0988802
halter	0.0962866
girdle	0.0953591
"feather boa"	0.0950774
"pants suit"	0.0923361
Pantsuits	0.0914062
"nose ring"	0.0907959
headgear	0.0905165
Thong	0.0889487
handbag	0.0871858
goatee	0.086199
legging	0.0844949
"mink coat"	0.0844278
loafer	0.0833072
"nail polish"	0.0832033
"stiletto heel"	0.0830504
scarf	0.0822552
moccasin	0.0820267
"evening dress"	0.0817469
sandal	0.0815377
"evening gown"	0.0793895
bandana	0.0793065
pantyhose	0.0792377
bikini	0.0788191
"rubber band"	0.0783912
sheath	0.0761295
suede	0.0760748
wristband	0.0759281
blouse	0.0754759
sarong	0.0751728
"bowler hat"	0.0748942
"cowboy boot"	0.0748909
turban	0.0741453
loincloth	0.0740002
lipstick	0.0738656
"wedding ring"	0.073844
corduroy	0.0734629
"cocktail dress"	0.0732482
bra	0.0729403
bellbottoms	0.0728308
shawl	0.0726792
"dollar sign"	0.0726393
holster	0.0716093
raincoat	0.0713513
Poncho	0.0713036
bodice	0.0696267
suspender	0.0691652
tulle	0.0689524
turtleneck	0.0684221
headdress	0.0681454
satin	0.0680714
beret	0.0680539
"leather jacket"	0.0676123
sweater	0.0672599
Bonnet	0.0670786
capris	0.0664606
armband	0.0661337
pullover	0.0659368
"straw hat"	0.0646065
"cowboy hat"	0.0642762
"sports jacket"	0.0637735
"bow tie"	0.0636915
"baseball glove"	0.0629744
corset	0.0629489
sequin	0.062862
cardigan	0.0623064
bandanna	0.0621001
cuff	0.0618418
tunic	0.0616206
bluejeans	0.0611718
chiffon	0.0608147
collar	0.0604563
jumpsuit	0.0598568
tux	0.0594835
kilt	0.0592262
wig	0.0586571
"ball gown"	0.0586096
Pearl	0.0579596
Cape	0.0577096
"wedding gown"	0.0572583
jewellery	0.0570574
turquoise	0.0568882
frock	0.0568152
sneaker	0.0564681
nightgown	0.0562764
sunglasses	0.0560115
trousers	0.0558177
satchel	0.0557538
velvet	0.0557318
"place mat"	0.0554988
"polo shirt"	0.0554972
trouser	0.0552799
"trench coat"	0.055143
finery	0.0550586
beany	0.0545353
Sari	0.0543133
tuxedo	0.054255
waistcoat	0.0541379
slipper	0.0533182
slicker	0.0526292
pigtail	0.0525965
caftan	0.0523698
lingerie	0.0523332
embroidery	0.0523056
"fur coat"	0.0521383
bib	0.0521086
fedora	0.0520145
hairstyle	0.0518522
stiletto	0.0511922
"picture frame"	0.05108
dreadlocks	0.0508396
getup	0.050694
banquette	0.0506414
shoelace	0.0503373
"key ring"	0.0501437
"bathing suit"	0.0501176
flapper	0.0498825
wristwatch	0.0498326
"baseball cap"	0.0497202
Rolex	0.0495905
"body bag"	0.049537
"boxing glove"	0.048834
beads	0.0487358
handkerchief	0.0487059
"lounge chair"	0.0486675
petticoat	0.0485404
"bulletproof vest"	0.0482434
hairdo	0.0482364
"tennis shoe"	0.0479391
"blue jean"	0.0468762
sportswear	0.0466756
earpiece	0.0465933
"golf bag"	0.0464489
"fountain pen"	0.0464258
hosiery	0.0464166
hemline	0.0461677
pants	0.0460477
sweatshirt	0.0458341
waistband	0.0458313
stripes	0.0457
panty	0.0456313
BOA	0.0455631
apron	0.0455499
leotards	0.0453987
sideburn	0.0453231
eyeshadow	0.0450941
knapsack	0.0449299
gloves	0.0449158
tassel	0.0446045
neckline	0.044579
taffeta	0.0444371
mitten	0.0444184
necktie	0.044173
"bucket seat"	0.0437118
pajama	0.0436962
underpants	0.0434214
embellishment	0.0432943
stethoscope	0.0431938
overcoat	0.0430433
"film clip"	0.0428698
brogue	0.0427789
dud	0.0427124
swimsuit	0.0424784
"sweat pants"	0.0419864
"piece of cloth"	0.0417913
"animal skin"	0.0414632
vestment	0.0411762
"dog tag"	0.0410943
denim	0.0410617
Sash	0.0409158
jamb	0.0408433
"felt hat"	0.0407654
"top hat"	0.0407563
bodysuit	0.0406361
mascara	0.0406336
braid	0.040627
"dress uniform"	0.040367
tights	0.0403017
Ottoman	0.0402198
))
(cholera (desc 18558.5) (sims
malaria	0.380368
Dysentery	0.319234
"dengue fever"	0.317913
tuberculosis	0.317543
measles	0.311753
Meningitis	0.282708
Dengue	0.273631
typhoid	0.262334
hepatitis	0.259952
"yellow fever"	0.257199
diarrhea	0.256436
encephalitis	0.251762
polio	0.245224
influenza	0.241489
diarrhoea	0.235951
Rabies	0.230991
smallpox	0.220425
"hepatitis B"	0.219814
"typhoid fever"	0.21966
Tb	0.21721
pneumonia	0.215894
gastroenteritis	0.213236
leprosy	0.196664
malnutrition	0.193699
tetanus	0.193586
"food poisoning"	0.193097
"infectious disease"	0.190087
diphtheria	0.189004
syphilis	0.188802
HIV/AIDS	0.184451
HIV	0.184242
fever	0.181491
disease	0.18124
anthrax	0.178054
ebola	0.173371
plague	0.172616
flu	0.170835
rinderpest	0.162934
"Lyme disease"	0.162524
"hepatitis A"	0.161224
salmonella	0.159091
aids	0.157925
epidemic	0.157266
coli	0.156178
infection	0.153486
"foot-and-mouth disease"	0.148373
asthma	0.147306
jaundice	0.147039
pox	0.146718
famine	0.14622
leukemia	0.14314
poliomyelitis	0.140846
virus	0.139901
"West Nile"	0.137838
Hantavirus	0.136154
botulism	0.135748
canker	0.133834
starvation	0.132083
"venereal disease"	0.132047
"lung cancer"	0.131877
"contagious disease"	0.131841
"AIDS virus"	0.131729
"communicable disease"	0.130955
"HIV/ AIDS"	0.129646
CJD	0.129082
Parkinson's	0.129067
"heart disease"	0.127983
pandemic	0.127609
"sexually transmitted disease"	0.125871
diabetes	0.122897
"respiratory disease"	0.122041
"multiple sclerosis"	0.121508
poisoning	0.120409
trachoma	0.119443
lupus	0.118827
gonorrhea	0.118226
illness	0.117952
anemia	0.117205
blindness	0.116403
"colon cancer"	0.115654
cancer	0.114538
"bubonic plague"	0.114267
"rheumatoid arthritis"	0.113076
"cardiovascular disease"	0.112955
BSE	0.112939
"forest fire"	0.109562
Alzheimer	0.109454
Osteoporosis	0.109328
"cystic fibrosis"	0.10909
Lyme	0.108906
outbreak	0.107808
aid	0.106801
bronchitis	0.104983
lymphoma	0.103405
hypertension	0.10207
STDs	0.100931
"heart failure"	0.10049
"liver disease"	0.100489
dehydration	0.100335
ailment	0.10011
listeria	0.0999435
bacteria	0.0988108
cryptosporidium	0.097506
"animal disease"	0.0970635
"brain tumor"	0.0967642
overdose	0.0964609
"Parkinson's disease"	0.0957778
sickness	0.0955577
hunger	0.0947123
syndrome	0.0934386
"eye disease"	0.0934002
allergy	0.091888
SIDS	0.0918783
Obesity	0.0913929
ulcer	0.0910901
arthritis	0.0910802
desertification	0.0908952
"acquired immune deficiency syndrome"	0.0908533
locust	0.090417
flooding	0.0893425
cough	0.0893206
"heart attack"	0.0892134
osteoarthritis	0.0887602
contagion	0.0885829
Chlamydia	0.08848
melanoma	0.0880868
disorder	0.0878071
dementia	0.0876253
"congestive heart failure"	0.0875301
"drug abuse"	0.0864131
flood	0.0859179
"skin cancer"	0.0856876
herpes	0.0855315
parasite	0.0844186
als	0.0841595
vomiting	0.0839989
cataract	0.0835804
epilepsy	0.0828534
"common cold"	0.0823297
"acid rain"	0.0820606
"high blood pressure"	0.0820514
Pestilence	0.0819643
emphysema	0.0819547
"plant disease"	0.0813532
"Human Immunodeficiency Virus"	0.0809473
calamity	0.0794831
rotavirus	0.0782582
Alcoholism	0.0780683
piracy	0.0778511
pest	0.0777456
"heat exhaustion"	0.0777326
bacterium	0.0776495
hypothermia	0.0767616
"blood clot"	0.0766179
pollution	0.0759618
drought	0.0757982
"Love Bug"	0.0755774
"drug addiction"	0.0754102
shortage	0.0746967
overwork	0.074535
gangrene	0.0742154
illiteracy	0.07353
nausea	0.0734297
chickenpox	0.0733094
germ	0.0731332
"air pollution"	0.0727926
O@@@:H@	0.0722219
giardia	0.0719754
deforestation	0.0718549
"heat wave"	0.0717579
"drug traffic"	0.0717546
suffocation	0.07149
infestation	0.0714493
inflammation	0.0713743
schizophrenia	0.0713695
poverty	0.071114
"cold weather"	0.0711053
deficiency	0.0710407
disaster	0.0706264
encephalopathy	0.0705925
contamination	0.0703208
wildfire	0.0703103
mosquito	0.0700764
strife	0.0693231
scourge	0.0691271
autism	0.06898
unrest	0.0686611
degradation	0.0684726
"dog bite"	0.06776
"soil erosion"	0.0675868
cold	0.0675246
instability	0.0675188
fungus	0.0672016
narcolepsy	0.0670639
heartburn	0.0669339
trauma	0.066731
STD	0.0666848
C	0.0664809
malady	0.0664129
"child abuse"	0.0659502
))
(cholesterol (desc 18733.7) (sims
sodium	0.239952
carbohydrate	0.235497
"blood pressure"	0.223597
"high blood pressure"	0.206805
LDL	0.19916
"blood sugar"	0.188957
fat	0.184933
HDL	0.180499
diabetes	0.159111
hypertension	0.157267
protein	0.156173
Obesity	0.155238
calory	0.145583
"heart disease"	0.144825
Osteoporosis	0.141968
asthma	0.133561
homocysteine	0.133495
epilepsy	0.130989
glucose	0.128249
arthritis	0.122082
angina	0.118304
Calcium	0.117696
intake	0.113747
"heart rate"	0.112898
"cardiovascular disease"	0.112472
"congestive heart failure"	0.111353
glaucoma	0.10965
fiber	0.108614
caffeine	0.106936
smoking	0.106869
Parkinson's	0.10592
"colon cancer"	0.102898
calorie	0.102543
"fatty acid"	0.101466
potassium	0.10038
"rheumatoid arthritis"	0.100068
allergy	0.0996066
anemia	0.098652
"lung cancer"	0.0980428
testosterone	0.0980427
cancer	0.0979223
"body temperature"	0.0979107
impotence	0.0961341
IQ	0.0943029
migraine	0.0930872
Alzheimer	0.0922684
alcohol	0.0916828
atherosclerosis	0.0910292
schizophrenia	0.0908789
disorder	0.0908632
"heart condition"	0.0907587
"multiple sclerosis"	0.0904121
HIV	0.0899924
hemophilia	0.0898947
"cystic fibrosis"	0.0898673
PSA	0.0889603
ADHD	0.0887794
baldness	0.0873683
"skin cancer"	0.0868809
infection	0.0861077
"Parkinson's disease"	0.0860841
"risk factor"	0.0855923
nutrient	0.0841653
hormone	0.0832002
"carbon monoxide"	0.0825426
estrogen	0.0820404
"back pain"	0.0817757
"vitamin C"	0.0817097
leukemia	0.0813011
stress	0.081231
hepatitis	0.0801313
Depression	0.0792872
antioxidant	0.0792167
"bank rate"	0.0790452
osteoarthritis	0.0790241
emission	0.0788797
autism	0.0785749
dementia	0.0785001
Radon	0.0780153
mortality	0.077297
cataract	0.0766879
dioxin	0.076666
disease	0.0763611
antibody	0.075914
"tooth decay"	0.0757183
"liver disease"	0.07542
ulcer	0.075243
tumor	0.0749346
"AIDS virus"	0.0745078
insulin	0.0744232
Alcoholism	0.0741688
tuberculosis	0.0733539
heartburn	0.0732738
"heart attack"	0.07325
psoriasis	0.0731505
"labor cost"	0.0729963
fertility	0.0724005
contaminant	0.0721985
emphysema	0.0718215
sugar	0.0716335
"vitamin E"	0.0715979
iodine	0.0708444
heartbeat	0.0706807
abnormality	0.0706717
"body weight"	0.0704312
"muscular dystrophy"	0.0704127
insomnia	0.0702183
Diet	0.070194
enzyme	0.0697568
"carbon dioxide"	0.0692779
"death rate"	0.0690461
incontinence	0.0688172
toxin	0.0686922
clotting	0.0682162
ozone	0.0680845
tar	0.0679958
consumption	0.0678195
melanoma	0.0677469
oxygen	0.0675306
"crime rate"	0.0672715
"substance abuse"	0.0669877
"mortality rate"	0.0668845
ailment	0.0667615
nicotine	0.0665288
defect	0.0664157
"borrowing cost"	0.0663605
"heart failure"	0.0660061
"production cost"	0.0659435
illness	0.0653283
"kidney disease"	0.0652237
lycopene	0.0651556
pollution	0.0651155
retardation	0.0649806
"noise level"	0.0648168
infertility	0.0646722
humidity	0.0645112
"sexually transmitted disease"	0.0643781
incidence	0.0643675
dehydration	0.0642904
malaria	0.0642647
symptom	0.0642081
"mental illness"	0.063858
smog	0.0637569
lymphoma	0.0636742
"mental disorder"	0.0635266
"life expectancy"	0.0634968
"amino acid"	0.0634309
"alcohol abuse"	0.0633426
Tb	0.0631907
bacteria	0.062975
salinity	0.0628676
thyroid	0.0626435
"chest pain"	0.0622372
als	0.0620573
narcolepsy	0.0619614
virus	0.061852
radioactivity	0.0617149
syndrome	0.0616202
sulfur	0.0616162
productivity	0.0615525
"operating cost"	0.0615012
concentration	0.0612359
leptin	0.0612089
pollutant	0.0611928
deficiency	0.0610529
nitrate	0.0609034
salt	0.0605024
antigen	0.0602955
self-esteem	0.0601888
starch	0.0600895
acne	0.0599562
overweight	0.0599152
"fertility rate"	0.0598474
density	0.0598444
substance	0.0597027
"anxiety disorder"	0.0596808
vitamin	0.0596259
malnutrition	0.0594319
impairment	0.0594027
"insurance premium"	0.0594024
"air pollution"	0.0592695
dysfunction	0.0589761
disability	0.0588186
diarrhea	0.0587695
moisture	0.0587633
electrolyte	0.0583296
"gas price"	0.0581337
weight	0.0580581
"hay fever"	0.0578767
asbestos	0.0578333
"red blood cell"	0.0577381
lupus	0.057716
"poverty rate"	0.0576465
clot	0.0576464
voltage	0.0575844
acid	0.0574912
"take-home pay"	0.0574456
Gene	0.0571963
exposure	0.057196
stroke	0.0571837
))
(Chongqing (desc 29475.2) (sims
Wuhan	0.344045
CHENGDU	0.327746
Tianjin	0.312276
Shenyang	0.29814
Guangzhou	0.287395
Lanzhou	0.282267
Jinan	0.27804
NANJING	0.277355
Shijiazhuang	0.276066
Qingdao	0.275752
Kunming	0.275242
Hangzhou	0.274572
Changsha	0.273977
Harbin	0.273485
Zhengzhou	0.269389
Dalian	0.269017
Shanghai	0.26504
Xiamen	0.262452
Xining	0.262449
Taiyuan	0.262031
Guiyang	0.260761
Fuzhou	0.258883
Suzhou	0.258535
Hefei	0.25672
Shenzhen	0.254047
CHANGCHUN	0.251795
Hohhot	0.249873
Urumqi	0.243222
Haikou	0.242919
Ningbo	0.237351
Yantai	0.236318
Yinchuan	0.235952
Guilin	0.233022
Nanchang	0.232327
Zhuhai	0.228888
Nanning	0.22249
Wenzhou	0.203611
BEIJING	0.202735
Shantou	0.199385
Hainan	0.195331
Sichuan	0.193599
"Chongqing Municipality"	0.19103
Lhasa	0.186086
Guizhou	0.185579
Yunnan	0.183583
Guangdong	0.181802
Gansu	0.179323
Zhejiang	0.178874
Lianyungang	0.178447
Beihai	0.177609
Fujian	0.175715
Zhanjiang	0.174358
Guangxi	0.173939
Liaoning	0.168399
Henan	0.168229
Anhui	0.168068
Jiangsu	0.168058
Hebei	0.166778
Hunan	0.165025
Shaanxi	0.164951
Shanxi	0.164207
Shandong	0.163168
Nantong	0.162658
Qinhuangdao	0.162473
Yichang	0.161819
Ningxia	0.16038
Wuxi	0.158102
Qinghai	0.155916
Anshan	0.155032
Hubei	0.154076
"Guangxi Zhuang Autonomous Region"	0.152406
Jilin	0.151616
Jiangxi	0.150914
"Sichuan Province"	0.149002
Xinjiang	0.147059
Tangshan	0.146806
"Inner Mongolia"	0.145868
"Guangdong Province"	0.144949
Pudong	0.143355
Jiujiang	0.142095
"Liaoning Province"	0.140577
Luoyang	0.138407
Liuzhou	0.138006
Weihai	0.135276
Heilongjiang	0.133516
"Pudong New Area"	0.129916
"Jiangsu Province"	0.129394
"Xinjiang Uygur Autonomous Region"	0.12899
"Yunnan Province"	0.128076
"provincial capital"	0.126769
Macao	0.12641
"Hubei Province"	0.12502
"Inner Mongolia Autonomous Region"	0.124979
"Fujian Province"	0.124943
Zhangzhou	0.123575
Zhangjiajie	0.123349
Quanzhou	0.123221
Zhangjiagang	0.122589
Dongguan	0.121905
"Tibet Autonomous Region"	0.121514
Xuzhou	0.12091
Zhongshan	0.120132
"Zhejiang Province"	0.116991
"Qinghai Province"	0.115979
municipality	0.115407
Xian	0.114806
"Hebei Province"	0.113928
"Hong Kong"	0.113713
province	0.113694
Tibet	0.113656
"Guizhou Province"	0.112056
"Ningxia Hui Autonomous Region"	0.111377
"Ho Chi Minh City"	0.110045
"Shaanxi Province"	0.109198
Baoding	0.106926
"Hunan Province"	0.106018
"Gansu Province"	0.105721
"Anhui Province"	0.105703
MAPUTO	0.104815
city	0.104789
Sanya	0.104521
Foshan	0.10372
Baotou	0.103525
Bangkok	0.102079
Changzhou	0.1019
"Henan Province"	0.101705
"Heilongjiang Province"	0.10164
Kathmandu	0.100362
"Pearl River Delta"	0.100136
Weifang	0.0997762
Datong	0.0992273
"Jilin Province"	0.0978966
"Phnom Penh"	0.0976769
"Hainan Province"	0.0965649
HANOI	0.0962489
Dunhuang	0.0957481
"Shandong Province"	0.0955677
SEOUL	0.0955191
prefecture	0.0938813
"Jiangxi Province"	0.0935557
Istanbul	0.0928042
DHAKA	0.0907141
metropolis	0.0897331
"Shanxi Province"	0.0895853
Manila	0.0893098
Taipei	0.0890933
Zhongguancun	0.0872897
COLOMBO	0.0871982
HUHHOT	0.0871742
KAMPALA	0.0870313
"Tianjin Municipality"	0.0867338
YANGON	0.0866902
"Addis Ababa"	0.086256
capital	0.0861471
Osaka	0.0860891
Huangshan	0.0859569
China	0.0858887
KIEV	0.0850152
JOHANNESBURG	0.084945
Nagoya	0.0836897
ZHOUSHAN	0.0832795
Zhangjiakou	0.0831364
Tehran	0.0826423
Luanda	0.0825231
Singapore	0.0823301
Jakarta	0.0822688
Zhenjiang	0.0817902
Kaohsiung	0.0813652
HARARE	0.0805387
BUDAPEST	0.0804501
"Mexico City"	0.0799842
Lagos	0.0797347
Karachi	0.0790709
Prague	0.0784876
"Sao Paulo"	0.0784433
XI'AN	0.0782709
DUBAI	0.0782114
BOGOTA	0.078132
BUCHAREST	0.0775105
"Ulan Bator"	0.0774697
Amman	0.0769882
Panzhihua	0.0767493
township	0.0763828
Turpan	0.0763091
Tokyo	0.0762565
"Abu Dhabi"	0.0757308
Lusaka	0.0754655
region	0.0747551
Cartagena	0.0740277
"Kuala Lumpur"	0.0738177
Yangzhou	0.073777
BRASILIA	0.0737586
Lijiang	0.0734197
mainland	0.0733855
Sarajevo	0.0731212
"Dar es Salaam"	0.0729797
NICOSIA	0.0726212
Chengde	0.0725555
Nairobi	0.072555
"Rio de Janeiro"	0.0724853
))
("Chongqing Municipality" (desc 7015.94) (sims
"Guangxi Zhuang Autonomous Region"	0.214371
"Tibet Autonomous Region"	0.201373
Chongqing	0.19103
"Guizhou Province"	0.186313
"Ningxia Hui Autonomous Region"	0.183704
Guizhou	0.1799
"Sichuan Province"	0.169228
"Xinjiang Uygur Autonomous Region"	0.167821
Gansu	0.162416
"Inner Mongolia"	0.162413
Sichuan	0.155903
Anhui	0.154939
"Inner Mongolia Autonomous Region"	0.154422
"Yunnan Province"	0.152863
"Guangdong Province"	0.152461
Jiangxi	0.147444
Yunnan	0.146848
Hebei	0.144831
Fujian	0.143496
Shaanxi	0.141301
Henan	0.139477
"Qinghai Province"	0.137388
Qinghai	0.1366
Shanxi	0.136513
Guangxi	0.136319
"Gansu Province"	0.134223
Ningxia	0.134134
Zhejiang	0.132704
"Hunan Province"	0.132367
"Hebei Province"	0.131316
"Shaanxi Province"	0.130678
"Fujian Province"	0.130654
municipality	0.130438
"Shanxi Province"	0.129715
Hubei	0.129611
Hunan	0.129294
"Anhui Province"	0.128461
"Jiangxi Province"	0.126271
"Hainan Province"	0.125235
Heilongjiang	0.124484
"Tianjin Municipality"	0.122289
"Hubei Province"	0.118793
Guangdong	0.118413
Shandong	0.118394
Xinjiang	0.117713
"Liaoning Province"	0.117517
"Jiangsu Province"	0.114796
Yichang	0.114518
"Henan Province"	0.113672
"Shanghai Municipality"	0.113652
Liaoning	0.113488
Jiangsu	0.113205
"Zhejiang Province"	0.112634
"Shenzhen City"	0.112464
Tianjin	0.112318
Hainan	0.109675
"Jilin Province"	0.109052
Shanghai	0.107419
Wuhan	0.104948
"Taiwan Province"	0.103869
"Heilongjiang Province"	0.101922
CHENGDU	0.0980936
Guangzhou	0.0962925
"Tarim Basin"	0.0962436
"Shandong Province"	0.0945619
Hangzhou	0.0914905
Jilin	0.0898123
Shenzhen	0.0876638
metropolis	0.0853543
Tibet	0.085306
SEZs	0.082877
Kunming	0.0807784
Shenyang	0.0793022
Harbin	0.0788151
Lianyungang	0.0768097
"Palace Museum"	0.076703
Jiujiang	0.0763076
"Special Administrative Region"	0.0762555
"Suzhou Industrial Park"	0.0762226
Nanning	0.0760146
"Ministry of Railways"	0.0759812
prefecture	0.0754915
Ningbo	0.0751327
Yantai	0.0750715
Qingdao	0.0743776
Zhuhai	0.0725226
"Shenzhen Special Economic Zone"	0.0722249
"Hong Kong Special Administrative Region"	0.0707154
Liuzhou	0.0704823
NANJING	0.0701443
"Central Government"	0.069012
Xiamen	0.0687054
Dalian	0.0677497
Fuzhou	0.0676975
Changsha	0.0667172
"Yangtze River Delta"	0.0665061
Jinan	0.0662003
Haikou	0.0661838
Wenzhou	0.0658636
"Pudong New Area"	0.0656279
Lanzhou	0.0653654
"Loess Plateau"	0.0639808
Luoyang	0.0636674
Tangshan	0.0631459
Suzhou	0.062614
Zhongshan	0.0625072
township	0.0621984
Hefei	0.0617938
"Macao Special Administrative Region"	0.0617535
Guilin	0.0613039
"Ho Chi Minh City"	0.0609558
Anshan	0.0603166
"Bohai Bay"	0.0599676
CHANGCHUN	0.0598512
Zhangjiajie	0.059148
procuratorates	0.0587406
"municipal government"	0.058061
Zhengzhou	0.0563579
"Pearl River Delta"	0.0558056
"Hong Kong SAR"	0.0557697
"Macao SAR"	0.0550655
"financial center"	0.0545754
"provincial capital"	0.0544951
Weihai	0.054259
"Ministry of Forestry"	0.0537233
"first school"	0.0535465
Dongguan	0.0534048
"Ministry of Communications"	0.0533919
"Egyptian capital"	0.0533284
"Hainan Island"	0.0529426
Pudong	0.0528644
Lijiang	0.0526368
Lhasa	0.0523957
"industrial park"	0.0523035
Taiyuan	0.0521987
Guiyang	0.0518301
sub-branches	0.051245
"rural area"	0.0511004
Pusan	0.0509422
"trunk line"	0.0508481
Sanya	0.0508246
Xuzhou	0.0506569
Urumqi	0.0506504
"Ministry of Science"	0.0502852
"Beijing Municipal Government"	0.049912
"national capital"	0.0496351
Shijiazhuang	0.0496199
EPZs	0.0495963
"special economic zone"	0.0495882
"State Environmental Protection Administration"	0.048993
"Pudong International Airport"	0.0488595
"Qinghai-Tibet Plateau"	0.0488194
"Irish Republic"	0.0487302
Beihai	0.0485837
granary	0.0485068
"suburban area"	0.0483855
"Ministry of Culture"	0.0481962
HKSAR	0.0480973
Zhongguancun	0.0480225
"Gorges Project"	0.0479951
Shantou	0.047954
"Universal Postal Union"	0.0477544
"central city"	0.0471231
"Ministry of Foreign Trade"	0.0470781
"Ministry of Education"	0.0469912
"Ministry of Civil Affairs"	0.0469334
"Greek capital"	0.0469117
"state-owned enterprises"	0.0467844
CIRC	0.046707
Wuxi	0.0465452
Farmington	0.0465384
"State Forestry Administration"	0.0464871
bureaus	0.046468
Izmit	0.046274
locality	0.0461277
"African Economic Community"	0.0460998
Zhangzhou	0.0457885
SAR	0.0457729
MII	0.0457608
"Yangtze River Valley"	0.0456598
"Culture Ministry"	0.0450217
"Special Economic Zones"	0.0449166
"Export Processing Zones"	0.044771
"development center"	0.044769
"free zone"	0.0447025
"French capital"	0.0444311
KPA	0.0442646
Datong	0.0442515
ACWF	0.0441914
"test-tube baby"	0.0441018
joint-ventures	0.0440936
"Ministry of Public Health"	0.0440863
Cartagena	0.0437157
"North West Frontier Province"	0.0436684
"Potala Palace"	0.0435247
"soil erosion"	0.0435046
MAPUTO	0.0428655
"water level"	0.0428082
"State Science and Technology Commission"	0.042472
"Ministry of Posts"	0.0423539
))
(choosing (desc 909.014) (sims
toppling	0.0840301
recruiting	0.0751441
stylishness	0.0706776
namelist	0.0690801
reemployment	0.0680932
naming	0.0666628
"deficit spending"	0.0652836
creativeness	0.0644153
"surprise resignation"	0.0623231
megamergers	0.0606222
fugue	0.0590303
"accounting problem"	0.0589344
intercession	0.0584423
E.T	0.0583128
ousting	0.0576836
layering	0.0571073
pharaohs	0.0558191
"Great War"	0.0555597
"mainframe computer"	0.0555044
opulence	0.0528659
mega-mergers	0.050864
nuttiness	0.0508213
totality	0.050624
comity	0.0504473
swearing-in	0.0501764
exploiter	0.0499814
cosmology	0.0487201
comprised	0.0478755
sacking	0.0477911
"given name"	0.0474949
iteration	0.0469806
strangeness	0.0469437
crosshairs	0.0468708
outrageousness	0.0467191
disavowal	0.0463142
Zing	0.0462735
"Forty-five percent"	0.046164
lobbying	0.0460737
Gigahertz	0.0459948
"postmaster general"	0.0459153
sterility	0.0455541
flamethrower	0.0452313
cortege	0.0448858
passel	0.0446428
trustworthiness	0.0444232
"Hong Kong Federation"	0.0442712
demonization	0.0434477
catechism	0.0434057
reallocation	0.0433113
"particle accelerator"	0.0432545
two-fifths	0.0431226
streamlining	0.0426519
Whiteness	0.0426173
"three centuries"	0.0425912
tribulation	0.0423977
enormity	0.0422305
"General Committee"	0.0421877
"God's Will"	0.0420107
"Almost three-quarters"	0.0419285
navel	0.0418244
hibernation	0.0415881
unionization	0.0415722
felling	0.041525
"Civic Arena"	0.0409354
singularity	0.0409068
peccadillo	0.0406996
"practical application"	0.0405437
earshot	0.0405151
guardianship	0.0403599
"Jerusalem Committee"	0.040309
"Nearly three-quarters"	0.0402074
))
(chop (desc 17495.1) (sims
steak	0.228653
cutlet	0.174119
"chicken breast"	0.170776
chicken	0.156796
sausage	0.15346
pork	0.145608
Sirloin	0.142492
brisket	0.141697
ham	0.141124
fillet	0.137323
meatloaf	0.136795
burgers	0.13642
"pork tenderloin"	0.132361
shrimp	0.130394
rib	0.130308
roast	0.124279
tenderloin	0.124129
kebab	0.122846
"pot roast"	0.122836
pasta	0.122018
eggplant	0.121402
"filet mignon"	0.120636
meat	0.120546
bacon	0.120044
meatball	0.119161
chorizo	0.116678
lamb	0.11401
scallop	0.113928
asparagus	0.113744
"leg of lamb"	0.113304
potato	0.109852
"roast beef"	0.109172
mushroom	0.108277
Hamburger	0.107854
salad	0.107119
Loin	0.106236
"hot dog"	0.105462
onion	0.102665
tomato	0.102038
salmon	0.101842
slice	0.100353
bread	0.100241
vegetable	0.0998949
"french fries"	0.0995975
cheese	0.0995878
noodle	0.0994498
veal	0.0989543
"beef tenderloin"	0.0985683
"fish fillet"	0.0977357
shank	0.0974345
soup	0.0958903
bratwurst	0.0957557
quail	0.0955044
"rack of lamb"	0.094527
sauce	0.0942837
cake	0.093714
oyster	0.0936624
beef	0.0928709
"short ribs"	0.0922306
ravioli	0.0922107
sandwich	0.092077
Catfish	0.0909001
fish	0.0907001
"scrambled egg"	0.0906536
mozzarella	0.0905421
halibut	0.0901593
stew	0.0891813
tofu	0.089157
pie	0.088509
patty	0.0879488
pizza	0.087721
sparerib	0.0876708
swordfish	0.0869366
lobster	0.0868592
bean	0.0866013
Lasagna	0.0862646
filet	0.0858315
salami	0.0850251
polenta	0.084475
artichoke	0.0844713
spaghetti	0.0840259
tortilla	0.0836967
plantain	0.0835815
seafood	0.0834265
tuna	0.0834038
"pork loin"	0.0832458
zucchini	0.0830256
dish	0.0825665
"chicken salad"	0.0817658
biscuit	0.0816008
"Caesar salad"	0.0810827
taco	0.080295
breast	0.0802743
carrot	0.0802455
gravy	0.079163
macaroni	0.0788481
monkfish	0.0787508
risotto	0.0787423
veggie	0.0777179
Chili	0.07701
mussel	0.0769124
corn	0.0762927
"chicken sandwich"	0.0757364
dumpling	0.0755922
cabbage	0.0754075
burger	0.0751462
pancake	0.0749363
egg	0.0747392
"foie gras"	0.0745016
entree	0.0736017
"smoked salmon"	0.0732451
leek	0.0730532
spinach	0.0729295
"main course"	0.07277
fruit	0.0727275
celery	0.0726984
Pudding	0.0720434
squash	0.0715589
pepper	0.0715433
lentil	0.0714327
pancetta	0.0707903
cooky	0.0707352
fajitas	0.0703793
"chicken wing"	0.070245
"green bean"	0.0701248
loaf	0.069963
rind	0.0696363
Garlic	0.0696072
lettuce	0.069312
"fresh fish"	0.0689294
prosciutto	0.0685557
Chickpea	0.0679453
shallot	0.0676743
calamari	0.067269
cheeseburger	0.0672339
FRY	0.0671417
duck	0.0669782
sushi	0.0666464
"ground beef"	0.066413
"black bean"	0.0664066
hen	0.0663929
crab	0.0663252
"tomato sauce"	0.0658357
skewer	0.065745
marinade	0.0655965
nacho	0.0655279
"French toast"	0.0654659
"ice cream"	0.0653658
cod	0.0653181
Broccoli	0.0650941
TART	0.0649203
olive	0.0648758
pea	0.0648758
broth	0.0645812
"potato salad"	0.0645428
"goat cheese"	0.064149
pastry	0.0640615
clam	0.0636452
"sea bass"	0.0635449
"white bread"	0.0635094
confit	0.0633515
"raw meat"	0.0630109
medallion	0.0628845
cornbread	0.0628053
crepe	0.0620386
crust	0.0620016
"sweet potato"	0.0615881
poultry	0.0614253
waffle	0.061342
dough	0.0613071
"green onion"	0.0609444
"blue cheese"	0.0603321
okra	0.0600198
barbecue	0.0598636
Endive	0.0596252
prawn	0.0594797
paella	0.0594332
cucumber	0.0591769
tortellini	0.0590482
avocado	0.0589663
pineapple	0.0587507
wine	0.0587073
venison	0.058581
cauliflower	0.0581711
octopus	0.0578811
crawfish	0.057787
yogurt	0.0575242
"macaroni and cheese"	0.0573159
"vegetable soup"	0.0571931
"garlic clove"	0.0571761
dessert	0.0571611
cube	0.057064
"cut of meat"	0.056722
flan	0.0567048
"cold cuts"	0.0566739
chocolate	0.0566506
"brussels sprout"	0.0563246
"corned beef"	0.0563181
custard	0.0561428
apple	0.0557674
))
(Chopin (desc 5871.5) (sims
Mendelssohn	0.317149
Brahms	0.283712
Ravel	0.276039
Liszt	0.275337
Rachmaninoff	0.273347
Schubert	0.267111
Schumann	0.266403
Beethoven	0.255928
Bartok	0.25147
Debussy	0.243551
Tchaikovsky	0.238094
Mozart	0.238019
Bach	0.230809
Stravinsky	0.215347
Shostakovich	0.197378
Mahler	0.195658
Strauss	0.171109
Haydn	0.169164
DVORAK	0.161672
Prokofiev	0.154628
Vivaldi	0.1508
Schoenberg	0.145758
Berlioz	0.144213
Bruckner	0.128607
Wagner	0.120628
Verdi	0.117396
Webern	0.113737
Rossini	0.111608
Elgar	0.111316
Gershwin	0.0941126
Handel	0.0936465
Gluck	0.0935979
"John Cage"	0.0926362
Boulez	0.0921505
"Richard Strauss"	0.0908376
Puccini	0.0829283
Messiaen	0.0822147
Schiller	0.076746
"Philip Glass"	0.0709561
"George Gershwin"	0.0676357
Ives	0.0654356
Monteverdi	0.0642608
Ellington	0.0599604
"Aaron Copland"	0.0586508
cello	0.0577651
"Duke Ellington"	0.0566917
concerto	0.056399
Bernstein	0.0560636
symphony	0.0558247
"chamber music"	0.0547038
Rubinstein	0.0535796
"string quartet"	0.0532508
"Bob Marley"	0.0523359
"second fiddle"	0.0520424
Copland	0.0507987
Berg	0.0502805
Harbison	0.04837
Borodin	0.0476284
Sondheim	0.0469
"Charlie Parker"	0.0465994
Joplin	0.0464366
violin	0.0454829
LaChiusa	0.0452443
Scrooge	0.043264
harpsichord	0.0429811
Hildegard	0.0428724
"Leonard Bernstein"	0.0417217
"Louis Armstrong"	0.0415534
Sinatra	0.0411737
croquet	0.041144
"Andrew Lloyd Webber"	0.0409697
gotcha	0.0409354
Einstein	0.0401394
))
(chopper (desc 11944.9) (sims
grounder	0.172645
helicopter	0.153147
"ground ball"	0.144622
gunship	0.144375
dribbler	0.136695
bouncer	0.120582
Learjet	0.118485
one-hopper	0.117658
roller	0.114776
groundout	0.108235
Tapper	0.106922
bunt	0.10525
popup	0.103721
warplane	0.099938
aircraft	0.0996668
Cessna	0.0993885
liner	0.0987203
C-@@@	0.098103
plane	0.0950865
"line drive"	0.0938897
"Cessna @@@"	0.092145
airplane	0.0916002
blimp	0.0886653
comebacker	0.0885983
F-@@	0.0882832
jetliner	0.0877597
F-@@s	0.0871533
MiG-@@s	0.0871266
airliner	0.0862279
"base hit"	0.0852666
Prowler	0.0852029
turboprop	0.084503
MiGs	0.0837187
"Airbus @@@"	0.0835422
B-@@	0.0834509
"EgyptAir Flight @@@"	0.0815045
MiG-@@	0.0798395
jet	0.0795649
"American plane"	0.0781127
"Airbus A@@@"	0.0771036
osprey	0.0768691
"Flight @@@@"	0.0766532
"Flight @@@"	0.07614
"jet plane"	0.0759765
MD-@@	0.0759153
"patrol boat"	0.0751377
fighter-bombers	0.0747075
"fighter aircraft"	0.0744525
warplanes	0.0731575
B-@s	0.0727577
Concorde	0.0709843
"TWA Flight @@@"	0.0709493
biplane	0.0708533
"fly ball"	0.0706155
jeep	0.0702358
glider	0.0697557
vessel	0.068977
bomber	0.0682329
"sacrifice fly"	0.0682058
Apaches	0.0680184
"personnel carrier"	0.0679711
tanker	0.06705
cutter	0.0662263
"patrol ship"	0.0659677
warship	0.0655711
blooper	0.0654231
hovercraft	0.0652912
spaceship	0.0651033
bloop	0.0649619
"pop fly"	0.0649521
AN-@@	0.0647137
"cable car"	0.0647069
gunboat	0.0646349
submarine	0.0646192
tugboat	0.0645291
"hot-air balloon"	0.0645113
boat	0.0643589
DC-@@	0.0635527
craft	0.063357
"Alaska Airlines Flight @@@"	0.0618652
TU-@@@	0.0618324
Atlantis	0.0609074
ferry	0.060479
"cargo vessel"	0.060451
"Swissair Flight @@@"	0.0603024
shuttle	0.0599987
C-@@	0.0599012
pop-up	0.0594366
Cruiser	0.0592467
two-out	0.0592146
"blue angel"	0.0585689
Concordes	0.0582144
balloon	0.0579632
speedboat	0.0576535
DC-@	0.0573976
barge	0.0572661
fighter	0.0571365
freighter	0.056964
F-@@@	0.0565458
airship	0.056456
frigate	0.0564135
"transport ship"	0.0562957
"small boat"	0.0562721
Apache	0.0560593
"Air France Concorde"	0.0556184
"fire truck"	0.0549434
squadron	0.0548526
motorboat	0.0543734
EgyptAir	0.0543436
commando	0.0541635
"merchant ship"	0.0540909
"fire engine"	0.0540169
minibuses	0.0537948
Mini-bus	0.0533968
"oil tanker"	0.0532663
van	0.0529018
A@@@-@@@	0.0527862
Ambulance	0.0527597
"school bus"	0.0526237
"police car"	0.052355
catamaran	0.0521226
sled	0.0519761
"freight train"	0.0518541
"patrol car"	0.051511
artillery	0.051436
paratrooper	0.0514112
missile	0.0506686
destroyer	0.0505575
groundouts	0.050503
tank	0.0503677
"cargo ship"	0.0501955
"passenger ship"	0.0501219
"military vehicle"	0.0496245
lorry	0.0496214
"artillery unit"	0.0494768
gondola	0.0493112
"surface ship"	0.04912
minibus	0.0490907
Boeing	0.0486807
"fishing boat"	0.0485201
diver	0.048348
trolley	0.0481649
A-@@@	0.0481591
Motorcycle	0.0479393
Humvees	0.047861
convoy	0.0478264
yacht	0.0478036
"attack aircraft"	0.0477866
spacecraft	0.0475877
tomcat	0.0474924
curveball	0.0473517
"foul ball"	0.0469895
USAir	0.0465438
"commuter train"	0.0464371
"squad car"	0.0463775
"Pan Am Flight @@@"	0.0461798
crewmen	0.0459737
"National Guard"	0.0459168
rescuer	0.0454369
Tram	0.0451672
limousine	0.0450667
"shuttle bus"	0.0449809
marine	0.0448732
planeloads	0.0448519
"landing craft"	0.0447426
searcher	0.0446924
"passenger train"	0.0446288
Kite	0.0445712
F-@	0.0445006
"wild pitch"	0.0443519
MD-@@s	0.044192
tarpon	0.0441251
"spy satellite"	0.0439672
"tractor trailer"	0.0438818
"rocket launcher"	0.0437978
"torpedo boat"	0.0436731
"booster rocket"	0.0435918
"third homer"	0.0435353
wagon	0.0433723
chairlift	0.0433209
aviator	0.0432548
airforce	0.0432267
"domestic flight"	0.043223
one-out	0.0427715
Pony	0.0427439
"chip shot"	0.0426718
Orbiter	0.0426547
soliders	0.0425517
"Korean Air"	0.042513
planeload	0.0424562
"space probe"	0.0423548
endeavour	0.0422912
"solo homer"	0.0422908
minesweeper	0.0419302
balloonist	0.041821
infantry	0.0416942
chinook	0.0415822
"battle group"	0.0414235
T-@@	0.0413804
semitrailer	0.0413721
))
(Chopra (desc 1085.95) (sims
Muralitharan	0.197029
Kumble	0.189891
Mullally	0.189012
Agarkar	0.15371
Gough	0.150023
Headley	0.140184
Tendulkar	0.138101
MacGill	0.133731
Cairns	0.123804
"Moin Khan"	0.12341
McGrath	0.116335
"Glenn McGrath"	0.110484
Kallis	0.108295
Speer	0.106572
"Damien Fleming"	0.105068
Anil	0.102795
Dillon	0.0930261
McMillan	0.0925912
Cronje	0.0918674
Lehmann	0.0871866
Akram	0.0850087
Donald	0.0849964
McLean	0.083042
Isikoff	0.0776901
heath	0.0754944
khan	0.0749631
Broaddrick	0.0734888
Ambrose	0.0725635
Baca	0.0719646
Giles	0.0714353
Kasoulides	0.0709454
Juma	0.0702982
"Ricky Ponting"	0.0664999
Ikimi	0.0653472
Fleming	0.0647864
Hooper	0.0646554
Aoki	0.061877
Venter	0.0618754
"Carl Hooper"	0.0605177
Gillespie	0.060362
McGuinness	0.0591373
"Bill Haselman"	0.0581261
kraut	0.0575027
Menchu	0.0571759
Webster	0.0568234
Malu	0.0565817
Finkel	0.0565479
Hick	0.0564926
Duvalier	0.056392
"Patsy Ramsey"	0.0563512
lass	0.0562509
Sumaye	0.0554053
Bruton	0.0554022
Hazen	0.0552396
Bonanno	0.055205
Ziegler	0.0551736
Kimball	0.0548452
Skiles	0.0548303
"Justin Langer"	0.0546968
Abdel-Meguid	0.0545058
Croft	0.0544538
Carrera	0.0541188
Lehrer	0.0541168
Tarawneh	0.0539837
"Stuart MacGill"	0.0539565
Sato	0.0538326
al-Sahaf	0.0536466
Julian	0.0535433
Bryan	0.0534697
Allchin	0.0534274
"Will Perdue"	0.0525353
Ramprakash	0.0525272
Ikeda	0.0524922
Rudman	0.0524886
leeson	0.0524581
Jovanovic	0.0524225
Yosef	0.0523721
"Ijaz Ahmed"	0.0523677
Cooke	0.0521926
Sheehan	0.0520422
Anand	0.0519277
Jewell	0.0517765
Okada	0.0511686
Gan	0.0509657
"Mark Waugh"	0.0509084
Solis	0.0507734
Strauss-Kahn	0.0504986
Nasrallah	0.0504728
Fieger	0.0502957
Lampkin	0.0500304
Op	0.0499403
"Jorge Fabregas"	0.0495992
Shalom	0.0492426
Rubenstein	0.0492197
Baer	0.0491586
Creationists	0.0491566
Tanaka	0.049149
Byers	0.049093
Kelleher	0.0489774
Gaston	0.0489611
Neff	0.048733
Turetzky	0.0486738
Dunleavy	0.0486733
Naipaul	0.0486393
Reimer	0.0485866
Spalding	0.0484326
Nasrin	0.0481872
Willard	0.0479852
Hoffa	0.0479033
Bavasi	0.0478625
Hawley	0.0476896
"Sachin Tendulkar"	0.0476664
Benjamin	0.0474523
Lari	0.0470822
Goff	0.0470783
"Shaun Pollock"	0.0469121
nance	0.0468817
Alford	0.0464789
Jenoff	0.0463137
Yazdi	0.0462467
Kyprianou	0.0462307
Swenson	0.0461466
Gilligan	0.0461376
Ian	0.0460627
Mucha	0.0460077
Brezhnev	0.0458024
Schiller	0.0457976
Ruggiero	0.0457025
Nzo	0.0454078
"Ian Healy"	0.0451991
B-@s	0.0451262
Kearin	0.0450825
Bonner	0.0449239
Alarcon	0.0448925
Clements	0.044748
Soares	0.044678
Galvin	0.0446074
Fung	0.0445956
Glaber	0.0444607
Englishwoman	0.04446
decker	0.0443911
Stoneman	0.0443684
Wesson	0.0442638
BS	0.0442589
Lawson	0.0442587
Janus	0.0442272
Dodik	0.0441316
"Brian Cashman"	0.044116
Dickey	0.0440708
Polynice	0.0440037
Ribbeck	0.043961
"Steve Waugh"	0.0436254
Journal-Constitution	0.0435914
Mustafa	0.0435795
Burleigh	0.0435614
Lindland	0.0435477
Dorsett	0.0435253
Harrick	0.0434719
Radojevic	0.0431857
Bishara	0.0431483
"Wasim Akram"	0.0430312
Tsang	0.0428123
Warne	0.0427649
T.	0.0425933
Morley	0.0425252
Manley	0.0425132
Insulza	0.0424906
McCourt	0.0424818
Braswell	0.0424699
Azad	0.0423889
Meguid	0.0422924
Bogle	0.0422068
Ogata	0.0419092
Ohlmeyer	0.0418582
Malik	0.0418244
Connelly	0.0417795
Borodin	0.0417761
Havelange	0.0417484
Russert	0.0417083
"Salim Malik"	0.0416653
speller	0.0416074
Muluzi	0.041551
Siazon	0.0414516
"Mather Worldwide"	0.041355
Cortines	0.0410895
"Michael Heseltine"	0.0410534
Couric	0.0409998
Waxman	0.0409651
Lamont	0.0408859
Rong	0.0408011
Englishmen	0.0407266
Kato	0.0406933
tanner	0.0406727
"Lee Hsien Loong"	0.040653
Yastrzhembsky	0.0405709
Aloha	0.0405361
Piot	0.0404836
Ahmed	0.0404632
Osborne	0.040449
Hou	0.0404193
))
(chopstick (desc 3307.11) (sims
fork	0.115914
Spoon	0.11099
"paper cup"	0.0981164
masher	0.0939571
tongs	0.0930716
skewer	0.0929744
toothpick	0.0902719
"fishing rod"	0.087149
"measuring cup"	0.0853862
"fountain pen"	0.0834346
"paring knife"	0.0823574
spatula	0.0823484
paintbrush	0.0821182
"walking stick"	0.0812365
Kleenex	0.0754747
pliers	0.0648707
endoscope	0.0644399
racquet	0.0631588
"hockey stick"	0.0628902
eraser	0.062215
"cigarette lighter"	0.0619204
beater	0.0607074
hatchet	0.0597123
napkin	0.0596617
spear	0.0596525
chisel	0.0591718
screwdriver	0.0589809
"ballpoint pen"	0.0581358
"boxing glove"	0.0575233
"rolling pin"	0.056886
utensil	0.0565417
joystick	0.0565041
joysticks	0.055384
nightstick	0.0552045
Cleaver	0.0546253
syringe	0.0543082
"coffee cup"	0.0532048
scissors	0.0530875
platter	0.0528272
"prayer book"	0.0526771
"folding chair"	0.0516918
trellis	0.0515723
"paper bag"	0.0512454
"electric mixer"	0.0507812
cudgel	0.0506415
"rocking chair"	0.050557
"surgical instrument"	0.0502072
analyzer	0.0497361
"grocery bag"	0.0497142
truncheon	0.0495364
stethoscope	0.0494459
"baseball bat"	0.0489139
machete	0.048867
stylus	0.0487962
"bowling ball"	0.0484897
silverware	0.0479935
figurine	0.047845
bagpipe	0.0473558
"tennis racket"	0.0472819
easel	0.0470791
"contact lense"	0.0470345
AK-@@	0.0469704
flamethrower	0.0467899
bowls	0.046684
B-@s	0.0466609
flashlight	0.0463618
walkie-talkie	0.0460564
mixer	0.0459653
urn	0.0457841
"sheet of paper"	0.0450931
cane	0.0445587
oar	0.0440407
semicolon	0.044024
dowel	0.0440195
stool	0.0438598
"toilet seat"	0.0433244
"hunting knife"	0.0430469
bandanna	0.0424074
"hypodermic needle"	0.04225
pantyhose	0.0420187
spool	0.041984
steamer	0.0419763
"beer can"	0.0418636
skis	0.041853
"nursery rhyme"	0.0416606
strainer	0.0416487
"garden hose"	0.0416239
shotgun	0.041623
"cutting board"	0.0414322
headphone	0.0412775
peregrine	0.0412591
baton	0.0411187
"fire hose"	0.0410669
turntable	0.0405754
"side dish"	0.040545
Sledgehammer	0.040382
saucer	0.0402988
chainsaw	0.0401232
mallet	0.0400626
))
(Chorale (desc 1632.72) (sims
fugue	0.115272
choir	0.0845509
uptempo	0.0769016
cantata	0.0758225
klezmer	0.0726514
cappella	0.0656531
Beatles	0.0622808
"Van Halen"	0.0621805
Aria	0.0577226
"Burt Bacharach"	0.056986
"Philadelphia Orchestra"	0.0569631
ninja	0.0569046
"Tin Pan Alley"	0.0568204
sonata	0.0564184
recitative	0.0557369
"Amazing Grace"	0.055494
Gershwin	0.0549354
concerto	0.0547443
sextet	0.0545041
Lullaby	0.0542128
"Damascus Declaration"	0.0541976
SKA	0.0541911
"chamber music"	0.0531573
Reggae	0.0528773
Tosca	0.0528651
p.	0.0507692
Ellington	0.0507462
Motown	0.0504987
Afro-Cuban	0.0502233
calypso	0.0500879
"brass band"	0.0498387
"Islamic Jihad"	0.0495417
mariachi	0.0487521
"R&AMP;B"	0.048186
Appalachian	0.048093
"song and dance"	0.047877
merengue	0.0478477
helix	0.0478424
Rodgers	0.0476395
"Kevin Hartman"	0.0470943
Marley	0.0467731
"Andean Community"	0.0466715
"big band"	0.0466487
bluegrass	0.0457413
"East African Cooperation"	0.0452755
"Albanian Kosovo Liberation Army"	0.0449973
"jazz band"	0.0448745
oboe	0.0446746
cello	0.0444782
"military band"	0.0443515
"Warsaw Pact"	0.0442723
stevedore	0.0441939
SDMI	0.0440446
"Beach Boys"	0.0437224
"planning board"	0.0435069
"Andean Group"	0.0434506
capella	0.0432927
"folk song"	0.0427636
"chorus line"	0.0425063
Zydeco	0.0422305
gangsta	0.0419536
"Passion play"	0.0419195
Salome	0.0419002
Kurdistan	0.0417185
amen	0.0415554
"Sweeney Todd"	0.0413113
"Grateful Dead"	0.041099
"Neil Young"	0.0410498
"folk dance"	0.040652
polka	0.0402646
"Canadian Alliance"	0.0401684
"Kirk Franklin"	0.040094
))
(chord (desc 20160.1) (sims
melody	0.0937817
harmony	0.0809778
riff	0.0768514
rhythm	0.0730359
tune	0.0720116
guitar	0.0716092
lick	0.0708219
resonance	0.0687066
tone	0.0681526
lyric	0.0669448
timbre	0.0665467
rapport	0.064977
vocals	0.060221
Song	0.0599495
"alarm bell"	0.0560633
nerve	0.0555792
cadence	0.0550007
solo	0.0546935
improvisation	0.0546385
phrase	0.0526206
cymbal	0.0523272
groove	0.0517659
texture	0.0514507
"acoustic guitar"	0.0514053
ballad	0.0502547
chorus	0.0490464
dissonance	0.0485877
feeling	0.0485016
accompaniment	0.0481062
emotion	0.0480916
vamp	0.0480441
phrasing	0.0477947
"piece of music"	0.0463157
crescendo	0.0462794
refrain	0.0460451
rendition	0.0460325
mood	0.0458036
noise	0.0456442
orchestration	0.0454469
instrumentation	0.0453629
rumblings	0.0453516
drum	0.0452609
syllable	0.044977
inroad	0.0449155
interaction	0.0448035
counterpoint	0.0444056
saxophone	0.0443068
synthesizers	0.0442966
flavor	0.0437027
violin	0.0436495
interlude	0.0435194
affinity	0.0429761
intimacy	0.0429744
percussion	0.042737
duet	0.0423795
undercurrent	0.0422244
cachet	0.0421383
credibility	0.0420615
intonation	0.0418071
expression	0.0413209
baritone	0.0412311
coloration	0.0412151
Aria	0.0410831
instrument	0.0404806
verse	0.040123
))
(chore (desc 22899.2) (sims
task	0.127093
housework	0.12258
homework	0.0941112
duty	0.0905068
errand	0.0898986
schoolwork	0.0851307
paperwork	0.0836374
hassle	0.074035
cleaning	0.0720734
responsibility	0.0695249
function	0.0690153
assignment	0.0666478
burden	0.0664658
activity	0.0638058
routine	0.0637336
ritual	0.0631056
maintenance	0.0625875
distraction	0.0616262
repair	0.0591579
expense	0.0589106
cooking	0.0587216
workload	0.0583986
"child care"	0.058377
procedure	0.0580487
shopping	0.0570052
skill	0.0564029
topic	0.055199
dilemma	0.0546239
technique	0.0544939
gardening	0.0544196
tool	0.0543457
obligation	0.0541871
meal	0.0540163
planning	0.0535764
fun	0.0535704
things	0.0534527
lesson	0.0534499
child-rearing	0.0532158
habit	0.0530233
regimen	0.0529078
headache	0.052427
laundry	0.0518682
washing	0.0515765
housekeeping	0.0513961
requirement	0.0510858
hardship	0.0504869
hobby	0.0503625
trick	0.0502295
priority	0.0498898
endeavor	0.0498322
undertaking	0.0497961
Entertainment	0.0496404
annoyance	0.0493347
item	0.0489665
preparation	0.0488084
adjustment	0.0487289
mess	0.0486003
pleasure	0.0481901
nightmare	0.0480884
spacewalk	0.0479646
"extracurricular activity"	0.0479464
aspect	0.0478294
puzzle	0.0478242
testing	0.0476862
indignity	0.0474752
fee	0.0473217
blunder	0.0471462
necessity	0.0470957
luxury	0.0470897
amenity	0.0470323
"phone call"	0.0467782
intangible	0.0466768
renovation	0.0463388
pitfall	0.0463342
alternative	0.0462705
liability	0.0461995
gig	0.0459579
ordeal	0.0459266
recreation	0.0458926
vacation	0.0458447
motivation	0.0457305
workout	0.0456787
rite	0.0455744
feat	0.0455362
cleanup	0.0453746
proposition	0.044983
"social activity"	0.0449705
planting	0.0449565
letdown	0.044838
trauma	0.0447663
gadget	0.0447052
application	0.0447003
adventure	0.0446522
rehabilitation	0.0444586
query	0.0443288
watering	0.04429
occurrence	0.0442598
crises	0.0442063
woe	0.0439765
gaffe	0.0439153
inspection	0.0438792
reminder	0.0438387
difficulty	0.0438339
drawback	0.0437218
fare	0.043649
"hard work"	0.0435712
inconvenience	0.0435241
mystery	0.0434632
logistics	0.0433917
method	0.0433424
obstacle	0.0432053
trait	0.0430652
gimmick	0.0429816
installation	0.0429267
pluses	0.0428205
"educational program"	0.0428116
resettlement	0.0427398
discipline	0.0427154
transaction	0.0425632
outing	0.0424861
accomplishment	0.0423662
"social event"	0.0423246
recipe	0.0419778
decoration	0.0418524
quizzes	0.041832
communication	0.0416339
drudgery	0.0415945
get-togethers	0.04156
doing	0.0415129
reality	0.0414813
perk	0.0413826
contingency	0.0413739
checkup	0.0413191
"time off"	0.0412224
hardware	0.0411258
bookkeeping	0.0410239
Advertising	0.0410112
staple	0.0409186
scenario	0.0408645
instruction	0.0407894
"training program"	0.0406892
controversy	0.0406764
campaigning	0.0406524
backlog	0.0405775
stunt	0.0404385
upkeep	0.04034
tactic	0.0402428
misery	0.040176
negative	0.0401636
pet	0.0401364
Exam	0.0401278
"unfinished business"	0.0400622
appliance	0.0400377
))
(choreographer (desc 21797.1) (sims
composer	0.154017
Playwright	0.135431
artist	0.134076
painter	0.127727
musician	0.126858
dancer	0.124533
designer	0.122996
songwriter	0.117998
sculptor	0.117363
filmmakers	0.117262
poet	0.115155
conductor	0.114847
pianist	0.112481
performer	0.110431
filmmaker	0.108752
lyricist	0.108368
writer	0.10692
novelist	0.104236
architect	0.103345
actress	0.100239
singer	0.0981901
dramatist	0.0972008
photographer	0.0947404
"jazz musician"	0.0946283
actor	0.0932975
comedian	0.0912319
screenwriter	0.0910258
cinematographer	0.0901693
storyteller	0.0885825
entertainer	0.087699
animators	0.0870856
arranger	0.0867533
thinker	0.086672
violinist	0.0865919
stylist	0.0863326
acrobat	0.086312
author	0.0860792
Programmer	0.0857038
ballerina	0.0850524
philosopher	0.08478
calligrapher	0.0845199
chef	0.0836706
illustrator	0.0836325
vocalist	0.0829645
cartoonist	0.0824894
accompanist	0.0809538
scholar	0.0806743
troupe	0.0800143
"art director"	0.0799326
organist	0.0797025
physicist	0.0796813
guitarist	0.0794403
winemaker	0.079339
innovator	0.0791151
director	0.0787452
"ballet dancer"	0.0785696
soloist	0.0783855
"costume designer"	0.0771932
educator	0.0769511
puppeteer	0.0765841
"stage manager"	0.0763102
cabinetmaker	0.0762058
craftsmen	0.0759251
choreography	0.0757686
"movie star"	0.0752926
"fashion designer"	0.0751762
"landscape architect"	0.0743163
psychologist	0.074201
"theater company"	0.0741627
technician	0.074062
master	0.0731492
producer	0.0730618
historian	0.0725079
athlete	0.0722228
scientist	0.0721746
teacher	0.07216
entrepreneur	0.0721403
inventor	0.0716631
instrumentalist	0.071595
mathematician	0.0713403
creator	0.0712028
mime	0.0703642
"stage director"	0.070234
"leading lady"	0.0700476
ensemble	0.0698739
"art historian"	0.0697774
deejays	0.0697028
musicologist	0.0689363
flutist	0.0687575
"interior designer"	0.0686167
journalist	0.068422
"Susan Stroman"	0.0683705
craftspeople	0.0680105
engineer	0.0678834
surgeon	0.0672126
curator	0.0670676
drummer	0.0669972
translator	0.0667573
pediatrician	0.0666155
comic	0.0662673
"Bob Fosse"	0.0660968
linguist	0.0659401
rapper	0.0657981
instructor	0.0656224
psychoanalyst	0.0651363
cellist	0.0649786
theorist	0.0648847
statesman	0.0648619
professional	0.0643884
decorator	0.0643797
ballet	0.0643693
"music director"	0.0641206
gymnast	0.0640959
"disc jockey"	0.0639727
Pioneer	0.0636036
juggler	0.0635698
"George Balanchine"	0.0634955
naturalist	0.0634785
humorist	0.0634704
essayist	0.0633752
statesmen	0.0631931
visionary	0.0630333
revolutionary	0.0621735
preacher	0.0616718
electrician	0.0615558
politician	0.0614256
"press agent"	0.0613288
copywriter	0.0610728
DJ	0.0610106
researcher	0.0604721
golfer	0.0604329
"basketball coach"	0.0603563
rabbi	0.0599291
trumpeter	0.0597432
"character actor"	0.0595712
"graphic artist"	0.0594852
orchestra	0.0593396
modernist	0.0592307
impresario	0.0591154
musical	0.0591015
thespian	0.0590836
jurist	0.0590125
skater	0.0589329
presenter	0.0587963
gardener	0.0587652
"computer programmer"	0.0587352
feminist	0.0587311
collaborator	0.0586564
patron	0.0584667
swimmer	0.0583495
idiom	0.0583481
woodworker	0.0583037
theologian	0.0582826
luminary	0.058254
developer	0.058242
"film producer"	0.058236
monk	0.0582157
"venture capitalist"	0.0582086
philanthropist	0.058036
lexicographer	0.058025
accountant	0.057842
rappers	0.0578253
trainer	0.0578113
editor	0.0577972
restaurateur	0.057736
lecturer	0.0577258
collector	0.0576939
interpreter	0.0574666
"baseball player"	0.0574306
ballplayer	0.0573772
counselor	0.0573415
"social worker"	0.0572966
celebrity	0.0572573
listener	0.0570698
sportswriter	0.056819
physician	0.0568043
scriptwriter	0.0567657
publicist	0.0564211
principal	0.05639
opera	0.0563268
astronaut	0.0561158
therapist	0.0559231
guru	0.0558479
anthropologist	0.0558212
sailor	0.0557797
intellectual	0.0557352
doctor	0.0556692
critic	0.0554344
"software engineer"	0.0554225
consultant	0.0553922
Masterworks	0.0551245
psychiatrist	0.055084
builder	0.0550722
healer	0.0548686
academic	0.0548501
administrator	0.0548349
archaeologist	0.0548047
"art dealer"	0.0547928
boxer	0.0547431
chemist	0.0547425
))
(choreography (desc 22552.2) (sims
dance	0.10182
ballet	0.101395
cinematography	0.0933397
costume	0.0849358
music	0.0812364
staging	0.0804973
choreographer	0.0757686
sequence	0.0752423
editing	0.0719479
repertory	0.0709776
poetry	0.0707542
composition	0.0704223
architecture	0.0699938
style	0.0697131
Screenplay	0.0694476
"special effect"	0.0689778
Song	0.0683202
singing	0.0679198
musical	0.0674521
acrobatics	0.0673816
orchestration	0.0668305
writing	0.0660893
dancing	0.0656989
drama	0.0652066
"sound effect"	0.0650931
animation	0.0645418
photography	0.0629824
"musical score"	0.0612554
art	0.0611111
idiom	0.060724
script	0.0601739
opera	0.060144
camerawork	0.0596176
dancer	0.0589162
ensemble	0.0588005
character	0.0587911
skit	0.0587872
technique	0.0581466
melody	0.0580624
scenery	0.0574532
comedy	0.0567835
humor	0.0560417
troupe	0.0558317
scene	0.0556334
prose	0.0555704
vocabulary	0.0553922
duet	0.0552471
painting	0.0549981
lyric	0.0547991
theater	0.0547514
"pas de deux"	0.0545879
rhythm	0.0543239
Lighting	0.0542119
fiction	0.0537616
routine	0.0537011
"chamber music"	0.0535382
sketch	0.0527477
"folk song"	0.052307
solo	0.0513671
libretto	0.0512965
improvisation	0.0512196
Aria	0.051104
decor	0.0510412
tune	0.0509155
narrative	0.0507174
pyrotechnics	0.0506423
sculpture	0.0502263
visuals	0.0501167
imagery	0.0500239
"camera angle"	0.0498454
literature	0.0492472
cuisine	0.0491369
adaptation	0.0488142
soundtrack	0.0488109
calligraphy	0.0487106
magic	0.0486767
artwork	0.04863
sensibility	0.0484528
"folk dance"	0.0481733
fashion	0.0481368
drawing	0.0481173
personality	0.0480985
footwork	0.0474763
mime	0.0474763
casting	0.0473695
revival	0.0469288
hairstyle	0.0467978
concept	0.0467885
composer	0.0467423
narration	0.0466913
Recording	0.0463184
"Swan Lake"	0.0462263
Invention	0.0460854
poem	0.0460335
theme	0.0460072
stunt	0.0459388
repertoire	0.0458673
texture	0.0458516
ornamentation	0.0458371
graphics	0.0457987
verse	0.0455642
portrait	0.0453228
video	0.0452766
translation	0.0452103
performer	0.0452102
presentation	0.0451123
album	0.0449887
banter	0.0449141
Creativity	0.0446677
setting	0.0444997
Journalism	0.0444805
cooking	0.044232
tale	0.0441182
facade	0.0439378
elegance	0.0439357
silhouette	0.0436614
dynamic	0.0433793
"musical theater"	0.0433343
rendition	0.0433108
abstraction	0.0432406
classic	0.0432264
genre	0.0431308
tone	0.0431242
conceit	0.0430927
symphony	0.0430785
acoustic	0.0430782
footage	0.0430237
programming	0.043023
pattern	0.042954
artistry	0.0425198
flavor	0.042397
riff	0.0422398
"classical music"	0.0421886
actress	0.0421606
decoration	0.0420549
beauty	0.0420502
pacing	0.0419775
vocals	0.0418776
spectacle	0.041833
method	0.041793
excellence	0.0417218
realism	0.0415734
wordplay	0.0415622
recital	0.0415294
vocalist	0.041449
landscape	0.0413903
interpretation	0.0413033
portrayal	0.0412738
vision	0.0412654
drumming	0.0410402
"modern dance"	0.0409844
carving	0.0409816
illustration	0.0408802
innovation	0.0406453
furniture	0.0406051
interplay	0.0405763
cloth	0.0405224
phrasing	0.0405179
meditation	0.0405012
collage	0.0404944
wardrobe	0.0403265
transcription	0.0403198
rendering	0.0402608
farce	0.0402375
layout	0.0401799
puzzle	0.0401715
feat	0.0401614
teamwork	0.0401552
juxtaposition	0.0401511
achievement	0.0401404
recipe	0.0401372
"oil painting"	0.0400895
furnishings	0.0400559
text	0.0400527
))
(chorizo (desc 1644.66) (sims
salami	0.1877
"roast beef"	0.162365
prosciutto	0.154736
ham	0.148012
bacon	0.136869
"blue cheese"	0.134812
sausage	0.131963
"chicken breast"	0.12353
"tomato sauce"	0.12333
"scrambled egg"	0.123062
"grated cheese"	0.117963
"green pepper"	0.116032
"water chestnut"	0.114871
"black olive"	0.11482
artichoke	0.114701
"green onion"	0.113261
onion	0.112465
pancetta	0.111168
pork	0.109778
spaetzle	0.108974
mushroom	0.108654
"red onion"	0.107352
shallot	0.107336
"foie gras"	0.105057
spinach	0.104053
asparagus	0.101628
scallion	0.0998857
"goat cheese"	0.098539
cabbage	0.0976415
sauerkraut	0.0974153
celery	0.0971843
fennel	0.0967663
veal	0.0958497
mozzarella	0.0953631
olive	0.0947945
eggplant	0.0947243
Chickpea	0.0943245
cauliflower	0.0930434
FETA	0.0917481
"tomato paste"	0.0913308
brisket	0.0913133
"red pepper"	0.0902964
scallop	0.0901527
Garlic	0.0896901
croissant	0.0895358
"cherry tomato"	0.0892265
steak	0.0891235
meatball	0.0888687
molasses	0.088796
"pine nut"	0.0887416
"lima bean"	0.0885962
arugula	0.0877187
plantain	0.0866083
zucchini	0.0865087
"beef tenderloin"	0.0861658
seafood	0.0856356
"bell pepper"	0.0854836
"egg yolk"	0.0854306
yolk	0.0852858
"corned beef"	0.0852348
calamari	0.0850989
lamb	0.0850053
"sweet potato"	0.0847866
"ground beef"	0.0846291
bratwurst	0.0845237
leek	0.0836739
"beef broth"	0.0828779
"cold cuts"	0.082759
pasta	0.0826474
pea	0.0821704
bulgur	0.0820704
"brussels sprout"	0.081999
confit	0.0818538
lentil	0.0806397
venison	0.0793515
pineapple	0.0791339
"smoked salmon"	0.0790928
ginger	0.0788463
"cottage cheese"	0.0786115
Hock	0.0780346
veggie	0.0779603
quail	0.0776133
fajitas	0.0775264
pancake	0.0772279
grits	0.0771413
"green bean"	0.0770233
"fennel seed"	0.076847
cucumber	0.0764878
Parmesan	0.0763678
sparerib	0.0758896
carrot	0.0752436
"Swiss cheese"	0.0748644
"snow pea"	0.0747001
jerky	0.0745762
"filet mignon"	0.0744674
Basil	0.0742831
tuna	0.0741398
"pork loin"	0.0736464
noodle	0.0734736
cutlet	0.0733771
lettuce	0.0731907
"short ribs"	0.0728781
poultry	0.0727925
okra	0.0724903
spaghetti	0.0719793
"black-eyed pea"	0.071587
avocado	0.0714802
fillet	0.0712097
chutney	0.0705642
meatloaf	0.0703773
biscuit	0.0702488
parsley	0.069845
paprika	0.0697406
Broccoli	0.069688
grit	0.0688947
anchovy	0.0682484
"pot roast"	0.0679971
"bay leaf"	0.0672255
romaine	0.0666119
radicchio	0.0662961
octopus	0.066282
Sirloin	0.0654094
oyster	0.065068
"string bean"	0.0646541
pickle	0.0645838
lemon	0.0645238
"sour cream"	0.0639185
"beef stock"	0.0639185
chilies	0.0638101
jalapeno	0.063597
"Worcestershire sauce"	0.0632645
"green salad"	0.0629158
"garlic salt"	0.0628682
thyme	0.0628595
mussel	0.0626868
polenta	0.0625512
ricotta	0.0624459
"baking soda"	0.0623982
chiles	0.06195
tofu	0.0619489
Cheddar	0.0618991
"lemon peel"	0.0618588
caper	0.0615017
walnut	0.0614797
barley	0.0613982
broth	0.0603729
mayonnaise	0.0603104
seasoning	0.0600411
pesto	0.0600266
chive	0.0599513
yogurt	0.059905
pistachio	0.0598668
beet	0.0597466
macaroni	0.0597187
"black bean"	0.0596238
crackling	0.0595228
crawfish	0.059324
"French toast"	0.0590786
"peanut oil"	0.0589521
spam	0.0588057
almond	0.0586503
"chicken broth"	0.0585304
dumpling	0.0580328
"white rice"	0.0580188
tenderloin	0.0579548
dill	0.057738
Quince	0.0575624
quiche	0.0575155
"chicken salad"	0.057488
applesauce	0.0572397
cilantro	0.0569254
lemongrass	0.0567165
"chicken stock"	0.0566669
rind	0.0565405
rosemary	0.0563139
"peanut butter"	0.0561587
"potato salad"	0.0560556
"lemon juice"	0.0560226
monkfish	0.0560114
RHUBARB	0.055912
"iceberg lettuce"	0.0556279
fig	0.0554029
kernel	0.055184
pimento	0.0551191
halibut	0.0547717
"hoisin sauce"	0.0541755
radish	0.053954
tapenade	0.0539255
"cream cheese"	0.0537021
croutons	0.0531294
cumin	0.0526757
"white bean"	0.052606
bluefish	0.0523892
nectarine	0.0520383
"winter squash"	0.0519876
"dairy product"	0.0519462
oregano	0.0517831
"pinto bean"	0.0515844
burgers	0.0515813
grouper	0.0515665
))
(chorus (desc 34219.7) (sims
choir	0.145393
chant	0.109931
shout	0.0972456
ensemble	0.0945251
roar	0.0938597
orchestra	0.0933013
cheer	0.0890768
melody	0.08553
cry	0.0851787
cacophony	0.0829742
rendition	0.0818847
howl	0.0813182
Song	0.0806908
applause	0.08066
voice	0.0806239
music	0.0760212
quartet	0.0758242
Aria	0.0751309
tune	0.0751028
band	0.0749869
sound	0.0741188
ovation	0.0732413
laughter	0.0725555
troupe	0.0722512
vocals	0.0717812
lyric	0.0703935
singing	0.070269
groundswell	0.0684774
opera	0.0678376
musician	0.0672664
drumbeat	0.0671776
boo	0.0670966
singer	0.0668955
symphony	0.0662777
"standing ovation"	0.0652927
clamor	0.0643531
murmur	0.0641921
tenor	0.0636864
"folk song"	0.0632506
soloist	0.0629747
crescendo	0.0617328
refrain	0.0617099
barrage	0.0613241
outpouring	0.0612056
"opera company"	0.0610209
duet	0.0608866
trio	0.0608747
"symphony orchestra"	0.0607845
tone	0.0599506
hymn	0.0599131
rhythm	0.0597501
torrent	0.0587933
litany	0.0581312
guitar	0.0577336
crowd	0.0576984
cello	0.0576902
solo	0.0575591
baritone	0.0574409
dancer	0.0574319
drummer	0.0573179
wail	0.0572401
expression	0.0567943
dance	0.0564475
shriek	0.0546355
violin	0.054464
concert	0.0539478
smattering	0.0537406
wave	0.0531729
accompaniment	0.0530089
harmony	0.0524166
outcry	0.0522194
rumble	0.0520556
Recording	0.0519832
burst	0.0516654
piano	0.0516642
"chamber music"	0.0514802
jingle	0.0512931
audience	0.0509907
tale	0.050862
ditty	0.0508574
jeer	0.0504535
flurry	0.0503601
drum	0.0502499
quintet	0.0502193
soprano	0.0500686
anthem	0.0498884
performer	0.0495975
verse	0.04945
conductor	0.0492445
ballad	0.0491341
chord	0.0490464
firestorm	0.0490364
outburst	0.0489595
soundtrack	0.048927
noise	0.0485199
concerto	0.0481285
whisper	0.0479795
repertory	0.0475536
slogan	0.0472942
ballet	0.0472442
gaggle	0.0472333
Horn	0.0472241
prayer	0.0472035
phrase	0.0472028
Jazz	0.0470151
recital	0.0466998
Flute	0.0466096
Din	0.0464645
riff	0.0462236
"national anthem"	0.0461399
string	0.0458434
gasp	0.045642
condemnation	0.045595
musical	0.045282
unison	0.0451533
"string quartet"	0.0450914
cadence	0.0450443
repertoire	0.0448566
ire	0.0448091
handful	0.0447712
Siren	0.0442924
volley	0.0439063
"rock band"	0.0438214
vocalist	0.0436793
horde	0.0436286
dancing	0.0435686
parade	0.043477
legion	0.0432977
throng	0.042926
contingent	0.0428827
Bass	0.04259
sigh	0.0425557
procession	0.0423084
salute	0.0421936
recitation	0.0420798
chuckle	0.0420352
"big band"	0.0419755
denunciation	0.0419104
ritual	0.0418601
coterie	0.0417732
criticism	0.0417657
poem	0.0417566
costume	0.0416817
fanfare	0.0416164
libretto	0.0415471
sequence	0.041539
blue	0.0415181
outrage	0.0415094
whistle	0.0413286
"core group"	0.0412756
scorn	0.0411987
groove	0.0410837
sermon	0.0408533
spectacle	0.0408161
celebration	0.0407302
theme	0.0405942
acrobat	0.040581
"folk music"	0.040359
"theme song"	0.0402601
frenzy	0.0400933
))
("chorus line" (desc 1803.64) (sims
"Sweeney Todd"	0.0988569
striptease	0.0974153
flamenco	0.0735023
Hula	0.0723127
Salome	0.069498
"Don Giovanni"	0.0684205
"La Traviata"	0.0680779
Ailey	0.0650136
"Passion play"	0.0638857
Turandot	0.0638625
"Christmas carol"	0.0619861
Showboat	0.0617086
Nutcracker	0.0611809
"Ballet Theater"	0.0609196
"LA BOHEME"	0.0607534
cabaret	0.0605227
"Peony Pavilion"	0.0589963
Isolde	0.0579323
Othello	0.0570344
Rigoletto	0.0565382
Tosca	0.0564438
"musical comedy"	0.0553868
"Twelfth Night"	0.0545996
"Robin Hood"	0.0539866
sextet	0.0532453
"Beauty Queen"	0.0528346
"Royal Ballet"	0.0528138
"City Ballet"	0.0521403
Elektra	0.0520931
Evita	0.0518101
Godot	0.0517831
"knockout punch"	0.0514156
"Swan Lake"	0.0512244
"Amazing Grace"	0.0510986
"Bear Bryant"	0.0499482
"Bob Fosse"	0.0498606
Giselle	0.0498099
"Star-Spangled Banner"	0.0495574
"sleeping beauty"	0.0492634
"King Lear"	0.0484919
"five million tons"	0.0483957
Powerball	0.0483765
co-anchor	0.0480623
Aida	0.0477994
"Don Quixote"	0.0474541
Three-peat	0.0472513
Radcliffe	0.0471729
Fantasia/@@@@	0.0470979
"Wild Party"	0.0470926
"UBS AG"	0.0468716
quintet	0.0468254
"Dirty Bird"	0.0467031
"West Side Story"	0.0465334
Oedipus	0.0464914
vaudevillian	0.0463145
"Julius Caesar"	0.0458602
Afro	0.0457524
"grim reaper"	0.0457267
"catalytic converter"	0.0455863
"Annie Get Your Gun"	0.0454805
"Streetcar Named Desire"	0.0454126
Faust	0.0453903
"Peter Pan"	0.0452468
"sex hormone"	0.044974
Triptych	0.0444844
Dunham	0.0443095
"Via Dolorosa"	0.0440792
"variety show"	0.0437013
ECN	0.0436394
Fosse	0.0432057
cappella	0.0432011
"line of business"	0.0431654
half-dozen	0.0429771
"Ford Expedition"	0.0428071
"Jeep Grand Cherokee"	0.0426129
"American Ballet Theater"	0.0425989
Chorale	0.0425063
taming	0.0424099
posterior	0.0423584
Otello	0.0423554
subcompact	0.0423418
operetta	0.0423227
pantomime	0.0423066
"more than @@ million tons"	0.0422844
"horse race"	0.0422286
"Larry Sanders Show"	0.0422234
"French Quarter"	0.0421285
picketers	0.0419192
Messiah	0.0416704
cantata	0.0416526
Falstaff	0.0416429
"ruling class"	0.041301
vaudeville	0.0412204
chambermaid	0.04117
Whiting	0.0411447
subspecies	0.0409156
"a few lines"	0.040815
"Marie Christine"	0.04076
telomerase	0.0407563
"female body"	0.0406883
Requiem	0.0406122
"piano lesson"	0.0404354
"Manhattan Project"	0.0404329
Beehive	0.0404048
Macbeth	0.0402468
"Pentium III"	0.0402468
"four million tons"	0.0401972
shag	0.0401746
briquette	0.04016
))
(Chouinard (desc 829.955) (sims
Embree	0.257747
Rusch	0.160702
Benes	0.156169
Herges	0.133373
Mahomes	0.130588
Daal	0.128634
Yarnall	0.125295
Borbon	0.123441
Perisho	0.118135
Parris	0.117687
Masaoka	0.113406
Soliah	0.113092
Meche	0.111821
Olson	0.111098
"Gregg Olson"	0.109625
Finkel	0.108843
Jarrell	0.107217
Pavano	0.106821
Mantei	0.105661
Boles	0.104508
Stoneman	0.104242
"Vladimir Nunez"	0.103618
"Todd Jones"	0.103149
Trepagnier	0.102877
Schoeneweis	0.102826
Crabtree	0.102546
Gilkey	0.102427
Moyer	0.10038
Checo	0.100257
Mulholland	0.0983086
Garces	0.0981705
Tomko	0.0979242
Marinovich	0.0973015
Suppan	0.097205
Isringhausen	0.0971003
Padilla	0.0964387
Sasaki	0.0955649
Contreras	0.0953845
"Jeff Nelson"	0.0952848
Najera	0.0952708
Gagne	0.0945346
Eldred	0.094436
Glynn	0.0941446
Etherton	0.0940526
Petkovsek	0.0939393
Dungy	0.0936996
Briscoe	0.0935167
Henning	0.0932866
Fassero	0.0930349
"Ryan Dempster"	0.0929536
Geiger	0.0924183
Olivares	0.0922449
Whitsitt	0.0918496
"Ugueth Urbina"	0.0909865
"Omar Daal"	0.0908953
Bullard	0.0906363
Polian	0.0903113
Halama	0.0898786
Ankiel	0.0884282
Feuer	0.0881568
Mendez	0.0879736
Schourek	0.087524
"Brian Anderson"	0.0874221
Bottenfield	0.086732
Khalil	0.0865431
Lowery	0.0858608
Dempster	0.0858334
Hendrickson	0.0856182
Sheehan	0.0851791
"Frankie Rodriguez"	0.0847586
Westbrook	0.0841211
Marineau	0.0838582
Wohlers	0.0837898
Rapp	0.0836285
Mayne	0.0832941
"Al Levine"	0.0828067
Showalter	0.082706
Harnisch	0.0824798
Washburn	0.0823066
Calvary	0.0821059
"Alex Fernandez"	0.0816884
"Matt Mantei"	0.0815984
Wasdin	0.0815821
Baugh	0.0814957
Grimsley	0.0812696
Percival	0.0812144
Conroy	0.0811423
Briere	0.0806554
Sharma	0.0802857
Mackey	0.0802344
Beazley	0.0797772
Rossotti	0.0796384
Legace	0.0792086
Hirst	0.0791293
Remlinger	0.0789634
Timlin	0.0787724
Seanez	0.0782899
Bratton	0.0781034
Piot	0.0780083
Candiotti	0.0778995
Bohanon	0.0777749
Dickson	0.0776242
Hentgen	0.0775579
Gooding	0.0772193
"Mike Stanton"	0.0771981
"Chris Carpenter"	0.0771822
Heredia	0.077075
Pennington	0.077034
Ortiz	0.0769392
Danner	0.0767636
Wynn	0.0763671
Wakefield	0.0762113
McKenna	0.0760129
Neff	0.0759981
Osuna	0.0758375
Muoneke	0.0757998
Monson	0.0756248
Inman	0.0755979
Goldin	0.0755966
He/she	0.0754263
Lowry	0.0752717
Alvarez	0.0750615
fetter	0.0750211
Poole	0.0749331
Cordero	0.0748795
"Russ Springer"	0.0748145
"Brian Moehler"	0.0747241
Aventajado	0.0744417
Swenson	0.0743231
Cormier	0.0741923
Ainge	0.0741597
Ruggiero	0.0740757
Ligtenberg	0.0739844
Reyes	0.0738416
Munson	0.0737128
Kozeny	0.0735858
"Greg Swindell"	0.0734524
Pulsipher	0.0734202
Mendoza	0.0733924
McMichael	0.0732991
"Brian Bohanon"	0.0732559
Molina	0.0732088
Moonves	0.0731112
"Robb Nen"	0.0729615
Kreuter	0.0728411
Naumann	0.0727126
Burba	0.0725034
Ruehe	0.0722138
"Ramon Ortiz"	0.0716634
knuckleballer	0.0715483
Nagy	0.0715206
Burkett	0.0714903
"Manny Legace"	0.0712169
Paxon	0.0711366
Hershiser	0.0710955
Nunez	0.0709756
Hermanson	0.0709736
Cooley	0.07092
Verney	0.0708843
Stahl	0.0708822
Armstead	0.0708584
hodgson	0.0708551
Zito	0.0708265
silber	0.0708001
"Jose Paniagua"	0.0706781
Zimmerman	0.0705856
Steiner	0.0705039
Moehler	0.0702149
"Ryan Glynn"	0.0699909
Beckwith	0.0699836
Saunders	0.0697648
"Mac Suzuki"	0.0697328
Moseley	0.0696695
Patel	0.0695669
Helling	0.0694909
Hensley	0.0694294
Scioscia	0.069309
Sele	0.0692853
Lieber	0.0692786
"Ed Yarnall"	0.0692716
Parrish	0.069175
Sutter	0.0689544
"La Russa"	0.068883
Saberhagen	0.0688397
Guidry	0.0688375
Zucker	0.0688116
Desormeaux	0.0687931
"Francisco Cordova"	0.0687856
Millwood	0.0687104
Rojas	0.068708
Langston	0.0686626
McNulty	0.0686328
Rais	0.0686038
Kessler	0.0683157
Hiddink	0.0683139
Hefner	0.0681478
Meadows	0.0681152
McWilliams	0.0681003
Kimble	0.0680477
McElroy	0.0680253
))
(chow (desc 6628.12) (sims
"Shannon Miller"	0.103577
"Vanessa Atler"	0.0887397
"Dominique Moceanu"	0.0714387
Mukora	0.0652782
Dawes	0.0615988
"De Klerk"	0.0578415
Wong	0.0571293
"Elise Ray"	0.0567166
Tarawneh	0.0560218
Moceanu	0.0552135
Cao	0.053535
O'Neil	0.0532241
"Al Fayed"	0.0530073
Alcorn	0.0530062
Hobson	0.0526385
Whipple	0.0520132
Brundtland	0.0519865
Cai	0.0518186
"jelly bean"	0.0516223
Lau	0.0505193
Mayfield	0.0502353
Podesta	0.0500043
Tarver	0.0495148
Brister	0.0493152
Mikhailov	0.0492566
Menuhin	0.0491829
Sayles	0.0484381
"Labrador retriever"	0.0484234
Kane	0.0482068
Karlsson	0.0473967
Blackwell	0.0473857
"dog food"	0.0470454
Harrington	0.0468947
poodle	0.0467575
Azizah	0.0465493
HELLER	0.0465261
"Kristen Maloney"	0.0464773
Zuma	0.0462701
Soto	0.0462463
Chebet	0.0461093
LU	0.0458428
Anand	0.0456097
Valenzuela	0.0454038
Meyers	0.0453762
Katsav	0.0451299
Rudolph	0.0450119
Schmidt	0.0449831
Dooley	0.0449466
wen	0.0449337
Bulatovic	0.044707
Spock	0.0446126
Lim	0.0446099
Jin	0.0445749
Cheng	0.0444279
Unser	0.0443311
nance	0.0441285
"German shepherd"	0.0440892
Langdon	0.0439696
Jayasinghe	0.0439522
Pfeiffer	0.043817
Leung	0.043731
Feng	0.0436658
Christensen	0.043644
Ogata	0.0435414
Felten	0.0434379
poop	0.0432616
Malu	0.0430551
Autry	0.0430219
Sheinbein	0.04287
Luo	0.0428271
"Dominique Dawes"	0.042751
tang	0.0427131
Zhang	0.0426688
Garza	0.0425295
Baird	0.042503
Zou	0.0422665
popsicle	0.0421998
Schwartz	0.0421251
Izetbegovic	0.0420535
Yarnall	0.042052
Devers	0.0419741
Yang	0.04182
Gerry	0.0417703
Blatter	0.041671
Ayala	0.0415535
Ganga	0.0415225
Cunningham	0.0412973
sandy	0.0412702
Quackenbush	0.0411995
Donato	0.0410939
Atwood	0.0410286
Okada	0.0409994
Adair	0.0409979
droppings	0.0409592
Lloyd	0.0407268
Taft	0.0407058
Brandt	0.0406454
Vogel	0.0406383
Reyes	0.0406015
Fleischer	0.0405808
estes	0.0405342
Samaranch	0.0404106
Ruehe	0.0403208
Waxman	0.0402508
Woodard	0.0402265
Batouty	0.0401893
McDonnell	0.0401385
khan	0.0401269
O'Connell	0.0400299
Saberhagen	0.0400076
Torres	0.0400024
))
("Chow Yun-Fat" (desc 1432.4) (sims
"Jackie Chan"	0.150665
"Bruce Lee"	0.146069
"Val Kilmer"	0.140036
"John Leguizamo"	0.134807
"Rob Lowe"	0.131955
"George Clooney"	0.121864
"Winona Ryder"	0.117793
"Antonio Banderas"	0.11211
"Richard Gere"	0.110362
"Meg Ryan"	0.109544
"James Van Der Beek"	0.108164
"Anthony Hopkins"	0.105169
"ice cube"	0.103918
"Sela Ward"	0.103701
"Kevin Bacon"	0.102095
"Harrison Ford"	0.101893
"Tom Hanks"	0.098827
"Jeremy Irons"	0.0982406
"Uma Thurman"	0.097501
"Penelope Cruz"	0.0964394
"Pierce Brosnan"	0.0952975
"Ryan Phillippe"	0.094618
"Mel Gibson"	0.0916524
"Matthew McConaughey"	0.0913219
"Nora Ephron"	0.0908315
"Julia Roberts"	0.0899166
"Jennifer Love Hewitt"	0.0898754
"Norm MacDonald"	0.0898164
"Jay Mohr"	0.0887119
"Wesley Snipes"	0.0885483
"Johan Cruyff"	0.0878609
"Morgan Freeman"	0.0872178
"Kelsey Grammer"	0.0854523
"Sally Field"	0.0852075
"Nicolas Cage"	0.0850885
"Michael Douglas"	0.0848715
"Kirsten Dunst"	0.0848252
"Johnny Depp"	0.0842473
"Robert Redford"	0.084074
"Leonardo DiCaprio"	0.0837393
"Brendan Fraser"	0.0833747
Bjork	0.0831474
"Nicole Kidman"	0.0822885
"Kenneth Branagh"	0.0812861
"Bette Midler"	0.080412
"Peter Lynch"	0.0803115
"Janet McTeer"	0.0802526
"Manny Fernandez"	0.0799695
"Kevin Kline"	0.0795692
"Catherine Deneuve"	0.0792713
"Keanu Reeves"	0.0792299
"Adam Sandler"	0.0779631
"Kate Winslet"	0.0777854
"Barbra Streisand"	0.0776851
"Edward Furlong"	0.0770882
"Helen Hunt"	0.0769582
"Leelee Sobieski"	0.0765743
"Bruce Willis"	0.0761004
"Diego Maradona"	0.0759735
"Kathleen Turner"	0.0755089
"Jodie Foster"	0.0754983
Cleese	0.0754332
"James Earl Jones"	0.0753728
"Ally Sheedy"	0.075044
"Mark Wahlberg"	0.0749351
"Sean Connery"	0.0748539
Costner	0.0747819
"Demi Moore"	0.0744827
"John Cleese"	0.0734269
"Richard Dreyfuss"	0.0729103
"David Spade"	0.0727748
"Robert DeNiro"	0.0726909
"Famke Janssen"	0.0726585
"Henry Fonda"	0.0723309
"Russell Crowe"	0.0722427
"Ian Holm"	0.0713004
"Mike Myers"	0.071267
"Cameron Diaz"	0.0712096
"Halle Berry"	0.0708599
"Chris Rock"	0.0707922
"Martin Lawrence"	0.0707091
"Kevin Costner"	0.070684
"Bill Pullman"	0.0706364
"Vince Vaughn"	0.0705801
"Robin Williams"	0.0705312
"Tracey Ullman"	0.070423
"Samuel L. Jackson"	0.0702084
"Nathan Lane"	0.0700264
"Holly Hunter"	0.0697856
"Andre Braugher"	0.0696987
"AL PACINO"	0.069527
"Jamie Foxx"	0.0695013
"Tom Selleck"	0.0693119
"Sandra Bullock"	0.0691621
"Dustin Hoffman"	0.0690385
"Sean Penn"	0.0690265
"Kirk Douglas"	0.0687172
"Melanie Griffith"	0.0687002
"Denzel Washington"	0.0685291
"Alexei Yashin"	0.0684741
"Helen Mirren"	0.0684376
"Kim Basinger"	0.068244
"Natalie Portman"	0.0682301
"Arnold Schwarzenegger"	0.0680179
"Edward Norton"	0.0676507
"Robert Duvall"	0.0675162
"Minnie Driver"	0.0675136
"Vivien Leigh"	0.067497
"Chevy Chase"	0.0674463
"Juliette Lewis"	0.067375
"Michael J. Fox"	0.0673366
"Spencer Tracy"	0.0671552
"Jason Alexander"	0.0669548
"Joe Namath"	0.0668339
"Alicia Silverstone"	0.066778
"Sarah Michelle Gellar"	0.066713
"Ralph Fiennes"	0.0666604
"Angela Bassett"	0.0664705
"John Cusack"	0.0664366
"Roberto Benigni"	0.0662671
"Burt Lancaster"	0.0661881
"Jon Voight"	0.0661316
"Cuba Gooding Jr."	0.0660218
"Jim Carrey"	0.0658775
"Lara Croft"	0.0658301
"Sarah Jessica Parker"	0.0657051
"Sidney Poitier"	0.0656996
"Geoffrey Rush"	0.0656712
"Dan Hedaya"	0.0656048
"Bette Davis"	0.0653883
"De Niro"	0.0653198
"Tim Allen"	0.0652473
"Chris Klein"	0.0652379
"Alberto Tomba"	0.0650067
"Garry Shandling"	0.0647556
Broderick	0.0647381
"William Hurt"	0.0646745
"Ian McKellen"	0.0645354
"Cate Blanchett"	0.0644988
"Liam Neeson"	0.064461
"Heather Graham"	0.0642099
"Christian Bale"	0.0641042
"Hristo Stoichkov"	0.0640516
"Matthew Broderick"	0.0636218
"Burt Reynolds"	0.0633584
"Brenda Blethyn"	0.063281
"Ethan Hawke"	0.0631652
"Hidetoshi Nakata"	0.0629396
"W.C. Fields"	0.0627683
"Richard Burton"	0.062626
"Eddie Murphy"	0.0625412
DiCaprio	0.062385
Djorkaeff	0.0619945
"David Duchovny"	0.0617845
"Matt Damon"	0.0616559
Tucci	0.0616354
"Michael Caine"	0.0614869
"Albert Brooks"	0.0614083
"Renee Zellweger"	0.0610447
"Christopher Reeve"	0.0608123
"Jennifer Lopez"	0.0607656
"Mary Elizabeth Mastrantonio"	0.0606964
"Susan Sarandon"	0.0605028
"JOHN TURTURRO"	0.0604641
"Alen Boksic"	0.0601654
"Adrien Brody"	0.0601172
"Kirk Franklin"	0.06002
"Bernadette Peters"	0.060008
"Robert Carlyle"	0.0599086
"Ewan McGregor"	0.0598816
"Mia Hamm"	0.0598229
"Robert Pires"	0.0596838
"Jeff Bridges"	0.0596333
"Julie Andrews"	0.0595298
"Hugh Grant"	0.0594282
"Joseph Fiennes"	0.0593783
"Nigel Hawthorne"	0.0592988
"Clyde Drexler"	0.0592861
swank	0.0590835
"John Travolta"	0.0589068
"Martin Sheen"	0.0587331
"Walter Matthau"	0.0585229
"Jessica Lange"	0.0582843
"Carmen Electra"	0.0582328
"Diane Keaton"	0.0582206
"Hilary Swank"	0.0581852
"Magic Johnson"	0.0581683
"Tom Cruise"	0.0581116
"Stan Collymore"	0.0579952
"Ben Stiller"	0.0579084
"Billy Bob Thornton"	0.0576606
"William Shatner"	0.0575264
"Faustino Asprilla"	0.0573492
"Jimmy Smits"	0.0573476
"Ali Daei"	0.0573174
"Brian Dennehy"	0.0571899
"John Lithgow"	0.0568442
"Ashley Judd"	0.0566869
"Harry Kewell"	0.0562158
Kidman	0.056105
))
(chowder (desc 2391.47) (sims
paella	0.13504
risotto	0.123527
bisque	0.119748
gumbo	0.115983
soup	0.11548
fritter	0.112179
broth	0.109401
Casserole	0.103621
porridge	0.0996638
stew	0.0995529
gratin	0.0984222
guacamole	0.0967857
hummus	0.0957455
"vegetable soup"	0.0937058
Pudding	0.0935976
Fondue	0.0929611
salad	0.0912183
gravy	0.0889495
frittata	0.0876809
oatmeal	0.0874589
ragout	0.0855191
meatloaf	0.0845027
"salad dressing"	0.0839658
noodle	0.0832916
appetizer	0.0830043
quiche	0.0814689
Chili	0.0810954
"snow pea"	0.0808633
slaw	0.0788757
pasta	0.0783666
mousse	0.0781878
"string bean"	0.0771134
bruschetta	0.0762111
"potato salad"	0.0760918
salsa	0.0758497
spaghetti	0.0749609
asparagus	0.0734504
shrimp	0.072275
ravioli	0.0717508
coleslaw	0.0716925
"hot chocolate"	0.0715624
mussel	0.071452
taco	0.0713384
Carpaccio	0.0711331
"sour cream"	0.0709748
"pumpkin pie"	0.0691098
dumpling	0.0690926
cheesecake	0.0690512
marinade	0.0688954
"chocolate mousse"	0.0685654
scallop	0.0681439
puree	0.0676374
"filet mignon"	0.0669142
chutney	0.0661713
"tomato sauce"	0.0661609
eggplant	0.0659991
polenta	0.0655812
pesto	0.0655164
"pot roast"	0.0650846
enchilada	0.064917
clam	0.0645535
emulsion	0.0644878
"Caesar salad"	0.0643155
miso	0.064125
carrot	0.0639376
"chicken salad"	0.0636892
pancake	0.0630836
"pecan pie"	0.0630186
Souffle	0.062556
Broccoli	0.0618606
cornbread	0.061646
vinaigrette	0.0614288
custard	0.0613353
"fruit salad"	0.0612266
mayonnaise	0.0604646
masher	0.0603029
pilaf	0.0599237
shortbread	0.0596424
sausage	0.0594454
"chocolate cake"	0.0589601
parsnip	0.0588159
gruel	0.0587723
grits	0.0583848
dressing	0.0583406
plantain	0.0582321
Chickpea	0.0572819
"white bean"	0.0572606
cabbage	0.0571083
"rack of lamb"	0.0570925
matzoh	0.0566626
"horseshoe crab"	0.0563687
pea	0.056124
queso	0.0561237
Jell-O	0.056079
"sea bass"	0.0557098
condiment	0.0556016
canape	0.0555808
"goat cheese"	0.0554951
Lasagna	0.0554415
"sesame seed"	0.0552967
"spring roll"	0.0551723
meatball	0.0547396
"peanut butter"	0.0545544
"roast beef"	0.0545272
"chocolate chip cookie"	0.0540587
fruitcake	0.0538604
TART	0.0538303
confit	0.0537841
"barbecue sauce"	0.0533842
pumpkin	0.053239
tortellini	0.0526765
omelet	0.0524477
tortilla	0.0519738
"pepper sauce"	0.051662
burgers	0.0516118
barley	0.0512391
"red pepper"	0.0507876
Menudo	0.0505631
turnip	0.0504234
yogurt	0.0503507
"corn chip"	0.0502957
artichoke	0.0502112
"root vegetable"	0.050103
teacup	0.0496962
beet	0.0496914
tapenade	0.0495304
sorbet	0.0494946
cider	0.0494169
tripe	0.049268
Margarita	0.0492202
flan	0.0489783
"side dish"	0.0489608
"spaghetti sauce"	0.0488687
spinach	0.0477986
COBBLER	0.047726
"cream puff"	0.0472496
fajitas	0.0471523
kebab	0.0471187
crepe	0.0470807
"foie gras"	0.046943
milkshake	0.0467171
"leg of lamb"	0.0464761
"chicken breast"	0.0463319
mambo	0.0461504
"coconut milk"	0.0460416
muffin	0.0459089
"french fries"	0.045816
repast	0.0456928
eel	0.0452613
latke	0.0452319
pickle	0.0448411
entree	0.0448262
jerky	0.0447385
"black bean"	0.04462
brisket	0.044492
espresso	0.044376
buttermilk	0.0442299
"red wine"	0.0442209
"ice water"	0.0441556
ritz	0.0440152
Tamale	0.0439906
"fortune cookie"	0.0438203
florets	0.0438027
"scrambled egg"	0.0436054
smoothie	0.0435958
crostini	0.0435941
Cookery	0.0432569
"coffee pot"	0.0432414
matzo	0.0429435
lettuce	0.0427387
smoothness	0.0426827
"dance band"	0.0426725
tails	0.0426051
stuffing	0.0424972
frosting	0.0423531
"macaroni and cheese"	0.0423373
"creme brulee"	0.0423176
zucchini	0.0419404
crock	0.0418939
"soy sauce"	0.0417231
"shower stall"	0.0416905
bolero	0.0416878
fettuccine	0.0415699
frankfurter	0.0415694
avocado	0.0415547
ale	0.0412447
"hot stock"	0.0410373
"pumpkin seed"	0.0407649
Chipotle	0.0407627
merengue	0.0407135
aperitif	0.0406151
jelly	0.040564
compote	0.0400319
))
(CHP (desc 1830.11) (sims
MHP	0.173068
ANAP	0.115585
"Department of Public Safety"	0.108085
DEP	0.106015
FP	0.105498
GSS	0.105148
DP	0.103252
RAF	0.0976852
"Christian Democrat"	0.0967479
HHS	0.0936498
"Scotland Yard"	0.0933963
"National Action"	0.0931784
"Texas Department of Public Safety"	0.0884031
DYP	0.0876841
"United National Party"	0.0872801
RP	0.0871745
PNP	0.0846355
SANDF	0.0823218
"Department of Corrections"	0.0805791
UDF	0.0799836
PRD	0.077943
"US State Department"	0.0776369
IEC	0.0774493
RCMP	0.0760566
"border patrol"	0.0749647
"Canadian Alliance"	0.0742833
KNU	0.0742169
PDP	0.0737474
Renamo	0.073062
"Chea Sim"	0.0728263
"Indonesian Military"	0.0718363
FDIC	0.0717823
"State Police"	0.0702129
"British Foreign Office"	0.0695395
ama	0.0695162
"customs service"	0.0694603
"Wine Institute"	0.0686433
SSB	0.0685817
DMV	0.0685695
MDC	0.0684384
UDM	0.0677919
coastguard	0.0677777
"Public Security Ministry"	0.0675643
"Democrat Party"	0.0675185
"Royal Canadian Mounted Police"	0.0673708
DAP	0.0671159
"U.S. Coast Guard"	0.0669067
"Ulster Unionist Party"	0.0666791
PDI	0.0666159
FEMA	0.0665411
"Health Department"	0.0662664
"New York Police Department"	0.0662142
"Housing Authority"	0.0660797
DEC	0.0654168
NRC	0.0654126
ATC	0.0652966
SCI	0.065271
"Coast guard"	0.0652661
CAA	0.0647022
"U.S. Border Patrol"	0.0645599
"merchant marine"	0.0643138
PKB	0.0642793
CEC	0.0641744
"United Democratic Movement"	0.0640772
PPP	0.063903
DSP	0.0638976
"Momir Bulatovic"	0.0634301
NHTSA	0.0633201
CWA	0.0631709
"National League for Democracy"	0.0627707
NYPD	0.0627043
SAA	0.0626921
"Los Angeles Police Department"	0.0625759
IFP	0.0622984
"Royal Ulster Constabulary"	0.0622235
"Freedom Front"	0.0622188
Nyanza	0.0621879
IAF	0.0621726
"Aryeh Deri"	0.0621473
"Russian Communist Party"	0.0621164
"Democratic Left"	0.0620685
"Alexander Shokhin"	0.0619389
"U.S. Customs Service"	0.0617719
Histadrut	0.0617195
DEA	0.0612061
PBA	0.0610491
DNR	0.0610218
BJP	0.0609869
"Civil Aviation Authority"	0.0609788
Sandinista	0.0606353
"U.S. Immigration and Naturalization Service"	0.0605433
SPS	0.0603474
"New National Party"	0.0600821
PSC	0.0599381
DFG	0.0599345
NDF	0.059918
"Erie County"	0.0597882
ACOG	0.0596114
INS	0.0595226
"Port Authority"	0.0594789
"Immigration and Naturalization Service"	0.0594099
FSA	0.0592775
"Ulster Unionist"	0.0592369
"Mission Control"	0.059194
"U.S. Treasury Department"	0.0589287
"Senate Republican"	0.0586936
"planning commission"	0.0583668
Massport	0.0581805
"state government"	0.0581703
CPSC	0.0581148
BSF	0.0580654
"Israeli Foreign Ministry"	0.0579735
"Free Democratic Party"	0.057872
Meretz	0.0578289
AHP	0.0577575
plainclothes	0.0576948
UUP	0.0576782
"U.S. Soccer Federation"	0.0576673
"Zimbabwe African National Union-Patriotic Front"	0.0575296
RPR	0.0575196
ITU	0.057512
"fire department"	0.0574463
"Nuclear Regulatory Commission"	0.057381
Shas	0.0570093
royalist	0.0569406
UNAMET	0.0568281
SDPC	0.056665
"Ulster Unionists"	0.0565447
"Shas Party"	0.056425
NTRA	0.0559761
NARAL	0.0559276
DS	0.0558482
inspectorate	0.0556983
"U.S. Fish and Wildlife Service"	0.0554456
OCA	0.0553866
"Con Ed"	0.0550738
"Barisan Nasional"	0.0548269
RUC	0.0547991
CSRC	0.0547697
"House Budget Committee"	0.0545703
UFW	0.0544794
UNRWA	0.0544257
TNI	0.0543851
NSC	0.0543705
PATA	0.0543487
"U.S. Forest Service"	0.0542132
RNC	0.0541408
"Motherland Party"	0.0541384
Paraguayan	0.0540738
NCEC	0.0539853
CCF	0.0537244
FSB	0.0537167
"Marine Corps"	0.0537049
"Russian Interior Ministry"	0.0535262
Inkatha	0.0534011
AEC	0.0532587
CBK	0.0530789
"other nine"	0.0530609
"Commerce Committee"	0.0529788
"Education Department"	0.0526852
Ciampi	0.052437
"South African National Defense Force"	0.0522879
FRELIMO	0.0522689
"Big Sky Conference"	0.0522416
PUC	0.0522368
F.A	0.0521761
FEC	0.0521057
LAPD	0.0520951
ACFTU	0.0520757
MBNA	0.052059
"Socialist Party"	0.0520587
"National Party"	0.0520581
Hezb-i-Islami	0.0519106
Yadav	0.0518999
KONI	0.0516892
FPL	0.0516558
"National Highway Traffic Safety Administration"	0.0516453
"Georgia Power"	0.0515266
"U.S. Navy"	0.0515191
"South African Communist Party"	0.0515006
FN	0.0513035
"Freedom Union"	0.0512772
BIA	0.0511474
"Department of Transportation"	0.0511468
"American Red Cross"	0.0511268
Schering	0.0509836
USAID	0.0508989
SB	0.0508851
EC	0.05083
UNFICYP	0.050805
EEOC	0.050571
Jamaat-e-Islami	0.0505594
"Bureau of Land Management"	0.0503391
UNHCR	0.0502765
Yabloko	0.0502478
CPP	0.050193
GPU	0.0501643
SDLP	0.0499746
ZCTU	0.0499625
"Consumer Product Safety Commission"	0.0499453
))
(Chrebet (desc 3780.71) (sims
"Wayne Chrebet"	0.203715
"Leon Johnson"	0.146814
"Dedric Ward"	0.143815
"Curtis Martin"	0.136054
"Keyshawn Johnson"	0.134969
"Eric Moulds"	0.131108
"Ike Hilliard"	0.114553
Testaverde	0.114346
"Bryan Cox"	0.113836
"Jimmy Smith"	0.11085
"Ed McCaffrey"	0.106238
Hilliard	0.104832
"Terance Mathis"	0.101882
WARRICK	0.0999904
"Amani Toomer"	0.099431
"Rod Smith"	0.0984005
"Tony Martin"	0.0972159
"Ben Coates"	0.0938066
Faulk	0.0925576
"Marvin Harrison"	0.0923808
Mathis	0.0923676
"Terry Glenn"	0.0917061
"Danny Farmer"	0.0912528
Lafleur	0.0909209
"Michael Irvin"	0.090258
"R. Jay Soward"	0.0892396
"Terrell Owens"	0.0881326
Stumpel	0.0880136
"Tony Simmons"	0.0861881
"Aaron Glenn"	0.0840725
"Rob Moore"	0.0838303
Flutie	0.0836928
"Tim Dwight"	0.0834021
Childs	0.0832173
Cleaves	0.0828824
Dyson	0.081553
"Oronde Gadsden"	0.0810064
McGinest	0.0809332
Ewing	0.0803103
Irvin	0.0796066
Andreychuk	0.0794167
"Peerless Price"	0.0792073
Fizer	0.079036
Sehorn	0.0789244
Ismail	0.0772662
Swann	0.0771181
DeShields	0.076287
Toomer	0.0743173
Langenbrunner	0.0741838
Romanowski	0.0736165
Watters	0.0734388
"Chris Calloway"	0.0733015
Erstad	0.0732253
"Troy Brown"	0.0731631
"Andre Rison"	0.0725498
McDuffie	0.0721821
Cassell	0.0719224
Brunell	0.0718793
Paus	0.0717523
"Rocket Ismail"	0.0716331
Sharpe	0.0714421
"Shawn Jefferson"	0.0711208
Plummer	0.0709086
Olajuwon	0.0703674
Sprewell	0.0701254
"Billy Davis"	0.0695989
"Torry Holt"	0.0695651
Alou	0.069386
Soward	0.0691579
Meares	0.0690513
DeBerg	0.0689884
Malone	0.0688626
"Isaac Bruce"	0.0684161
Foley	0.0684042
Galloway	0.0679165
"Joey Galloway"	0.0678083
Connell	0.0677791
"Vinny Testaverde"	0.0674989
Harbaugh	0.0674533
"Rick Mirer"	0.0674199
Glenn	0.0672308
Knoblauch	0.0667576
Hasselbeck	0.0666841
"Van Horn"	0.0665474
Camby	0.0662826
Aikman	0.0661736
Ince	0.0661606
"Randy Moss"	0.065779
Groh	0.0656923
"Patrick Ewing"	0.0655543
"Jerry Rice"	0.0654943
Roenick	0.065284
Calloway	0.065263
Brisby	0.0649926
Biggio	0.0647151
Goodrich	0.0644168
"three @-pointers"	0.0641613
"Glenn Foley"	0.0640194
Mirer	0.063988
DiSarcina	0.0638481
"Yancey Thigpen"	0.0637523
"Frank Sanders"	0.0636621
Coates	0.0636518
Barkley	0.0634889
Armstead	0.0631957
"Cris Carter"	0.0631054
Lehtinen	0.0629004
Asprilla	0.0627261
Meggett	0.0624154
"J.J Stokes"	0.0623583
Bledsoe	0.0621065
Chmura	0.0620787
Slade	0.0620435
Hagi	0.0618043
Hundley	0.0617728
"Bobby Newcombe"	0.0614618
Niedermayer	0.0614082
"Raghib Ismail"	0.061386
Dwight	0.0613819
Hollandsworth	0.0610775
Messier	0.0608673
"Carl Pickens"	0.0608296
Jonsson	0.0607488
McIlvaine	0.0607125
"Freddie Mitchell"	0.0601509
"Shannon Sharpe"	0.0600476
Moss	0.0599986
McIver	0.0599253
"four @-pointers"	0.0599126
Kirkpatrick	0.0597738
Kitna	0.059679
Briere	0.0595013
Peyton	0.0594213
Bryant	0.0591751
Spurrier	0.0590943
Romario	0.0590814
"Chris Chandler"	0.0590741
Jagr	0.0589532
"Eric Metcalf"	0.0588439
Marino	0.0585882
Nailon	0.0585527
Sweeting	0.0585397
"Andre Reed"	0.0583939
"Ray Lucas"	0.0582264
Piazza	0.0581751
"HERMAN MOORE"	0.0579105
"Kevin Williams"	0.0577991
Terry	0.0577909
O'Donnell	0.0576724
"Dez White"	0.0575943
Pickens	0.0575312
"Kevin Dyson"	0.0574202
"Kyle Brady"	0.0574041
McNown	0.0572071
downfield	0.0570563
Drummond	0.0570385
Berard	0.0569267
"Ernie Mills"	0.0568198
"Peter Warrick"	0.0568192
CORYATT	0.0567142
"Windrell Hayes"	0.0564058
McCaffrey	0.056306
Fryman	0.0562926
Grbac	0.0561389
"Deion Sanders"	0.0560905
Carbonneau	0.0560583
Ripken	0.0560206
Baines	0.0559654
"David LaFleur"	0.0559242
Hardaway	0.0557634
"Lynn Swann"	0.0556316
Weinke	0.0554902
"Doug Flutie"	0.0553685
Marulanda	0.0551843
"Jason Sehorn"	0.0550775
"Mark Brunell"	0.0550463
Kamensky	0.0550075
Newsome	0.0548784
Vaughn	0.054659
Katzenmoyer	0.0545194
McGarity	0.0545115
Deion	0.0543328
Wannstedt	0.0543103
"Drew Bledsoe"	0.0541714
Joklik	0.0538567
Garciaparra	0.0537829
"Doug Johnson"	0.0537265
Favre	0.0536495
Bourque	0.0532736
Bergkamp	0.052936
Edwards	0.052927
Audette	0.0528739
Cunningham	0.0527846
Dawkins	0.0527335
"Keith Byars"	0.0527005
Strahan	0.0526896
"Kurt Thomas"	0.0526788
Kariya	0.0525823
Julich	0.0525565
Wheatley	0.0524473
))
(Chretien (desc 8370.56) (sims
"Jean Chretien"	0.242646
Goh	0.239319
Axworthy	0.195776
Chuan	0.190428
Chirac	0.182767
Velayati	0.181426
Banharn	0.181162
Mkapa	0.181073
Guterres	0.179559
Kuchma	0.1788
Hashimoto	0.178349
Komura	0.176707
Stoyanov	0.17476
Menem	0.174139
Vedrine	0.173768
Nazarbayev	0.173525
Hasina	0.17333
Chavalit	0.171568
Ecevit	0.170694
Camdessus	0.170623
Nujoma	0.169303
"de Charette"	0.169243
Jospin	0.16844
Simitis	0.168413
Vajpayee	0.16808
Kharrazi	0.167359
Phieu	0.167133
Museveni	0.166661
Ahern	0.166387
Aznar	0.165728
"Chuan Leekpai"	0.164471
Zhu	0.163202
Deuba	0.160981
Rakhmonov	0.160758
Blair	0.160674
Khaddam	0.160145
Rifkind	0.158429
Khai	0.157538
Nzo	0.156867
Solana	0.156757
Majali	0.156464
Ivanov	0.155731
Mubarak	0.155717
Gujral	0.155712
Demirel	0.155597
Lipponen	0.155241
Tung	0.154839
"Ivan Kostov"	0.154188
Dini	0.154134
Moussa	0.154073
Mandela	0.153231
Hariri	0.152754
"John Howard"	0.152373
"Wlodzimierz Cimoszewicz"	0.152258
Mbeki	0.152093
Wahid	0.15121
Clerides	0.150863
Barshefsky	0.150806
Primakov	0.150337
Jiang	0.149968
Prodi	0.149484
Qiao	0.149256
Chissano	0.14923
"Mesut Yilmaz"	0.14916
D'Alema	0.149048
Obuchi	0.14902
Ikeda	0.14825
Frei	0.147541
Kinkel	0.147376
Aziz	0.146725
"Than Shwe"	0.146404
"Phan Van Khai"	0.146386
Qian	0.146125
Scalfaro	0.146053
Mahathir	0.145302
Dehaene	0.14524
Kok	0.14424
Sharif	0.14419
Pastrana	0.14394
Ikimi	0.143031
Estrada	0.14277
"Romano Prodi"	0.141952
el-Ganzouri	0.141811
Zou	0.140983
"Atal Bihari Vajpayee"	0.140582
Cem	0.140452
Mori	0.140443
"Atef Obeid"	0.140399
"Valery Pustovoitenko"	0.140151
Kabariti	0.140147
"Goh Chok Tong"	0.14014
Talbott	0.140098
Alatas	0.139995
Santer	0.139911
Pangalos	0.139887
Annan	0.139609
"Bertie Ahern"	0.139121
Zedillo	0.139047
Azad	0.138896
Chiluba	0.138393
Luong	0.138381
Hu	0.138231
Mugabe	0.137963
"Goran Persson"	0.137767
Wolfensohn	0.137675
"Frederick Sumaye"	0.136833
Shevardnadze	0.136323
Kostov	0.13614
Constantinescu	0.136058
"Wim Kok"	0.135614
Klestil	0.135583
Rafsanjani	0.135578
"Keizo Obuchi"	0.135328
Peres	0.135259
Meles	0.135045
Boueiz	0.134969
Tsang	0.134904
"Jose Maria Aznar"	0.134787
Karimov	0.134273
"Vo Van Kiet"	0.134204
"Dos Santos"	0.133943
Lukashenko	0.133686
Jayakumar	0.133677
"Jerzy Buzek"	0.133618
Saleh	0.133472
Shareh	0.133356
"Jenny Shipley"	0.133097
Khatami	0.132856
"John Bruton"	0.132669
"Sheikh Hasina"	0.132552
"Inder Kumar Gujral"	0.131949
Shipley	0.131868
Schroeder	0.13128
Sergeyev	0.131279
Kasoulides	0.131119
Albright	0.130955
"Rafik Hariri"	0.130826
Niyazov	0.13054
Leghari	0.130489
Moi	0.130396
Akayev	0.130192
"Lionel Jospin"	0.129512
"Deve Gowda"	0.129325
Ahtisaari	0.1292
Pustovoitenko	0.128795
"Meles Zenawi"	0.128587
Cohen	0.127515
Klima	0.127275
"Yoshiro Mori"	0.127191
"Bashkim Fino"	0.12629
Cardoso	0.126216
Muluzi	0.126214
Granic	0.126179
Ogata	0.125235
Abubakar	0.12516
Koirala	0.125096
al-Hariri	0.12484
Gowda	0.124752
Lahoud	0.124119
Moratinos	0.12362
al-Shara	0.123367
"Atal Behari Vajpayee"	0.123025
Ruehe	0.122901
Siazon	0.122702
"Chavalit Yongchaiyudh"	0.122618
Yastrzhembsky	0.122541
"Paavo Lipponen"	0.122371
Narayanan	0.122333
"Pascoal Mocumbi"	0.122308
"Prime Minister Kamal El-Ganzouri"	0.122302
"Bulent Ecevit"	0.122214
Daley	0.122183
Vollebaek	0.121991
Erbakan	0.121902
Downer	0.12178
"Antonio Guterres"	0.121749
Gaddafi	0.121631
al-Sharaa	0.121391
Brundtland	0.121015
Diouf	0.120847
Koo	0.120818
al-Sahhaf	0.120651
Chernomyrdin	0.120644
"Li Peng"	0.120476
"De Soto"	0.120457
Stepashin	0.120159
Zeroual	0.120145
"Tang Jiaxuan"	0.120077
"Costas Simitis"	0.120002
"Ryutaro Hashimoto"	0.119754
Juncker	0.119638
"Yevgeny Primakov"	0.119632
al-Khatib	0.119598
Weizman	0.119514
"Benazir Bhutto"	0.119002
Arafat	0.118555
Zuma	0.118515
Putin	0.118391
Ben-Ami	0.118131
Vasile	0.117857
Juppe	0.117791
"Zhu Rongji"	0.11777
"Necmettin Erbakan"	0.117367
"Pandeli Majko"	0.116971
Samper	0.11679
Howard	0.116539
Kiriyenko	0.116261
Li	0.11597
"Kamal Kharrazi"	0.115566
"Tony Blair"	0.115495
"Radu Vasile"	0.115431
"Mahathir Mohamad"	0.115165
"H.D Deve Gowda"	0.115089
Nemtsov	0.114989
Abdel-Meguid	0.1148
Mordechai	0.114634
al-Bashir	0.114477
Surin	0.114306
Rodionov	0.113904
"Sergei Kiriyenko"	0.1139
"Prime Minister Banharn Silpa-Archa"	0.113674
Rao	0.113186
"President Kim Dae-jung"	0.11307
Ganzouri	0.112891
Kohl	0.112868
Kwasniewski	0.112707
Zeman	0.11249
Kim	0.112241
"Victor Chernomyrdin"	0.112153
Rawabdeh	0.111773
"King Abdullah II"	0.111726
"William Cohen"	0.111539
Stroyev	0.11142
LeBlanc	0.111091
Obasanjo	0.111087
"governor general"	0.110975
Fischer	0.110755
Gurirab	0.110719
Pickering	0.110603
Abdullah	0.110444
Zeng	0.110315
Yilmaz	0.110139
Orban	0.110023
"John Major"	0.109878
"Tariq Aziz"	0.109653
Rua	0.109636
Ramos	0.109507
"Lee Hsien Loong"	0.109398
Yeltsin	0.109393
Kumaratunga	0.109229
Chaudhry	0.10921
Berger	0.109137
Rubin	0.10908
Bhutto	0.10907
"Krishna Prasad Bhattarai"	0.108938
Daschle	0.108937
"Viktor Chernomyrdin"	0.108358
"Binyamin Netanyahu"	0.108242
"Qian Qichen"	0.108081
"Chief Executive Tung Chee-hwa"	0.107614
"Nawaz Sharif"	0.107423
Jia	0.107128
Al-Sabah	0.106979
al-Sahaf	0.106944
Caldera	0.106788
"Mikulas Dzurinda"	0.106582
Chi	0.106506
Shi	0.106192
Herzog	0.105987
Insulza	0.105871
Tarrin	0.105746
Vice-Premier	0.105361
"Abdul Karim Kabariti"	0.105349
"William Perry"	0.105216
"Javier Solana"	0.105016
Barak	0.104959
Holbrooke	0.104944
Husseini	0.104868
"Maung Aye"	0.104767
"Jordanian King Abdullah Bin Hussein"	0.104731
"Shimon Peres"	0.104596
"Sher Bahadur Deuba"	0.104448
Netanyahu	0.104336
Denktash	0.104277
Buyoya	0.104261
"Fayez Tarawneh"	0.104157
Bouteflika	0.104155
Alarcon	0.104111
tang	0.10407
"Salim Hoss"	0.103642
Eizenstat	0.10359
"Hun Sen"	0.103515
McCurry	0.103427
Tudjman	0.103179
Musharraf	0.103067
Hoss	0.102784
"Ehud Barak"	0.102748
"Ung Huot"	0.102522
Gadhafi	0.102185
Wu	0.102002
"King Sihanouk"	0.101902
"President Lee Teng-hui"	0.101745
"Girija Prasad Koirala"	0.101643
Persson	0.10136
Rasmussen	0.101041
wen	0.101006
"Benjamin Netanyahu"	0.100826
Azizah	0.100527
"Lamberto Dini"	0.1003
"King Birendra"	0.100112
Brahimi	0.10009
))
(Chris (desc 19149.9) (sims
Brian	0.136846
Tim	0.132252
Steve	0.127568
tom	0.124708
John	0.121081
Michael	0.119187
Jeff	0.117754
David	0.117693
Carl	0.117041
mike	0.116494
rob	0.116319
Jim	0.113368
Danny	0.113271
Kevin	0.11324
Eric	0.112547
Paul	0.111837
Robert	0.111804
Jason	0.110451
Bobby	0.10963
Jamie	0.109615
Dave	0.109013
Jerry	0.106507
Steven	0.10611
Joe	0.105839
Larry	0.104892
Peter	0.104758
Richard	0.104049
Gerald	0.103062
Christopher	0.10288
matt	0.100318
Ben	0.100306
Phil	0.100248
Gary	0.0989341
Alex	0.0985841
Alan	0.0981367
Kenny	0.0977275
Terry	0.097105
Dennis	0.0966193
William	0.095883
Josh	0.0958357
Anthony	0.0956753
BOB	0.0941959
Jeremy	0.094159
Bruce	0.0939059
Rick	0.0934404
Linda	0.093032
Dan	0.0929774
Jake	0.092975
Roger	0.0925618
Marty	0.0922306
Jonathan	0.0922116
Doug	0.0921267
Adrian	0.0920313
Wayne	0.0916485
Diane	0.0916056
Patrick	0.0906605
Charles	0.0891878
Jimmy	0.0890894
Todd	0.0887147
Randy	0.088264
jack	0.0881227
Cathy	0.0878444
George	0.0875489
Ramon	0.0871366
Stephen	0.0870452
Greg	0.0870038
Frank	0.0867229
Joey	0.0867085
James	0.0857897
Billy	0.085696
Sam	0.0855159
Keith	0.0854248
Tony	0.0848136
Jon	0.0847842
Eddie	0.0845794
Scott	0.0844005
Matthew	0.0842884
Sean	0.083445
Ivan	0.0828698
Adam	0.0827062
Ed	0.0826024
Nicholas	0.0823609
Pam	0.0818406
Derek	0.0818193
Stephanie	0.081295
Judy	0.0807513
Daniel	0.0804473
Juan	0.0796613
Evan	0.0795944
Marcus	0.0793959
Susan	0.0792988
Barbara	0.0789133
Andrew	0.0787483
Jeb	0.0787048
Andy	0.0786578
Walter	0.0785526
Ronald	0.0784828
Willie	0.0784757
Charlie	0.0784167
Neil	0.0781897
Brett	0.0780576
Phillip	0.0776855
don	0.0775533
Aaron	0.0775301
Raymond	0.0774486
Harry	0.0772583
Kyle	0.0771204
Joshua	0.077052
Reggie	0.0769016
Zachary	0.0767883
Maurice	0.0767044
Nate	0.076603
Drew	0.0765229
Sarah	0.0759401
Karen	0.0756911
Jacob	0.0755115
nick	0.0749919
Thomas	0.0748583
Brad	0.0747807
Ian	0.074673
Ken	0.0742639
Glenn	0.0741558
Hugh	0.0732802
Ashley	0.0732494
Shawn	0.0731904
Brandon	0.0731297
Byron	0.0730169
Cindy	0.0729785
Fred	0.0728387
Johnny	0.0728363
Pete	0.0727623
Christine	0.0726361
Albert	0.0724015
Felix	0.0722804
Beth	0.0721567
Sally	0.0719467
Carlos	0.071894
Arthur	0.0718662
"George W."	0.0717444
Roy	0.0714801
Barry	0.0714594
Eli	0.0714564
Casey	0.0714475
Ron	0.0711362
Kathryn	0.0709552
Erin	0.070931
Pedro	0.0708328
ANN	0.0707507
dick	0.0706447
Sara	0.0705402
jay	0.0704446
sandy	0.0701518
Marvin	0.0700771
Jackie	0.0696882
Jennifer	0.0696356
pat	0.0695595
Lynne	0.0695047
Julie	0.0695037
Philip	0.0693509
Justin	0.0692036
Margaret	0.069022
Craig	0.0686267
Nancy	0.0685618
Antonio	0.0685365
Samuel	0.0682237
Lance	0.0682169
Louis	0.0681132
Jose	0.067814
Betty	0.067783
Andre	0.0677301
Laura	0.0676588
Andrei	0.0676507
Terri	0.0672332
Helen	0.0671632
Troy	0.0670006
Marc	0.0669458
Janet	0.0668839
Simon	0.0667067
Michelle	0.0666235
Roberto	0.0665223
Joel	0.0664354
Ted	0.0663806
Jeffrey	0.0663768
Laurie	0.0661378
Ralph	0.0659654
Tommy	0.0658729
Carolyn	0.0656338
Allan	0.0655705
she	0.0653281
Robin	0.0651315
Scottie	0.0650641
Bernie	0.0649825
Bryan	0.0649766
Cory	0.0649301
guy	0.0648813
Wyatt	0.0648101
Theo	0.064552
Arnold	0.064507
Kurt	0.0644663
Henry	0.0643265
))
("Chris Anstey" (desc 1630.23) (sims
"Shawn Bradley"	0.377192
"Michael Finley"	0.31048
"Gary Trent"	0.282568
"Hubert Davis"	0.276566
"Samaki Walker"	0.261497
"Cedric Ceballos"	0.25995
"Dirk Nowitzki"	0.259404
"Steve Nash"	0.25782
"Robert Pack"	0.257018
"Sean Rooks"	0.242291
"A.C. Green"	0.181199
"Leon Smith"	0.137834
"Raef LaFrentz"	0.137735
"Scot Pollard"	0.135205
"Todd MacCulloch"	0.131857
"Robert Traylor"	0.130096
"Bill Wennington"	0.123626
"Hu Weidong"	0.122588
"Shawn Marion"	0.12245
"Kurt Thomas"	0.120066
"SCOTT BURRELL"	0.119241
"Oliver Miller"	0.118639
"Kenny Thomas"	0.117202
"Brian Skinner"	0.111982
"Juha Ylonen"	0.111295
"John Salley"	0.109365
"Steve Kerr"	0.107142
"Joe Kleine"	0.105805
"Mike Sullivan"	0.104316
"Brad Miller"	0.104181
"Cliff Ronning"	0.103214
"Sergei Fedorov"	0.102349
"Derrick Coleman"	0.101613
"Rodney Rogers"	0.101343
"Kevin Willis"	0.100865
"Shawn Kemp"	0.0998484
"Lee Nailon"	0.0997049
"Kevin Freeman"	0.0994929
"Yao Ming"	0.0985353
"Brian Skrudland"	0.0981253
"Vincent Damphousse"	0.0965671
"Vitaly Potapenko"	0.0962995
"Chris Crawford"	0.0962528
"Chris Taylor"	0.0957645
"Pierre Turgeon"	0.0953489
"Brian Scalabrine"	0.0953416
"Jermaine O'Neal"	0.0948155
"Kenyon Martin"	0.0946795
"Corliss Williamson"	0.094557
"Alexei Kovalev"	0.0944249
"Jayson Williams"	0.0942799
"Shannon MacMillan"	0.09339
"Joe Sakic"	0.0932661
"Austin Croshere"	0.0925003
"Rashard Lewis"	0.0920172
"Guy Carbonneau"	0.0918557
"Cliff Robinson"	0.0918208
"Wang Zhizhi"	0.0915799
"Chris Drury"	0.0912863
"Travis Knight"	0.0899696
"Doug Gilmour"	0.0898392
"CORIE BLOUNT"	0.0893845
"Tiffeny Milbrett"	0.0886432
"Tom Gugliotta"	0.0882507
"DeLisha Milton"	0.0881719
"Olli Jokinen"	0.0878901
"Theo Ratliff"	0.0875918
"Ante Razov"	0.0869386
"John Wallace"	0.0868752
"Harry Kewell"	0.0866651
"Tina Thompson"	0.0864946
"Tony Battie"	0.0864142
"Scott Thornton"	0.0861823
"Hao Haidong"	0.086113
"Alexei Yashin"	0.0860132
"Pavol Demitra"	0.0859173
"Shareef Abdur-Rahim"	0.0855921
"Bobby Phills"	0.0855674
"Jelani McCoy"	0.0855031
"Donyell Marshall"	0.0852104
"Joe Thornton"	0.08501
"Ray Ferraro"	0.0844127
"Joe Juneau"	0.0842427
"Tyrone Nesby"	0.0841871
"Michael Olowokandi"	0.0837675
"Mike Keane"	0.0834862
"Ron Francis"	0.0830585
"Predrag Mijatovic"	0.0830347
"Dennis Scott"	0.0824819
"Joe Nieuwendyk"	0.0810994
"Doug Weight"	0.0810427
"Tony Amonte"	0.0805752
"Robert Horry"	0.0805689
"Rick Fox"	0.0805135
"Chris Gatling"	0.0802943
"Tony Hrkac"	0.080264
"Jeremy Roenick"	0.0800201
"Arvydas Sabonis"	0.0796752
"Aaron Gavey"	0.079457
"Horace Grant"	0.0790611
"George McCloud"	0.0788982
"John LeClair"	0.0787391
"Jumaine Jones"	0.07865
"Chris Porter"	0.0785177
"Petr Sykora"	0.0779659
"Danny Manning"	0.0778658
"Juwan Howard"	0.0778431
"Dennis Rodman"	0.0776528
Gugliotta	0.0772192
"Tamika Catchings"	0.0767841
"Lamond Murray"	0.0767227
"Terry Porter"	0.0767104
"Adam Deadmarsh"	0.0765696
"Keith Tkachuk"	0.0763656
"Bonzi Wells"	0.0763639
"Matt Geiger"	0.0763079
"Maurice Taylor"	0.0762645
"Jaren Jackson"	0.0762594
"Eric Wynalda"	0.0760584
"Vlade Divac"	0.0755345
"Jennifer Gillom"	0.0754237
"Greg Ostertag"	0.0753729
"Dale Hunter"	0.0753286
"Antonio Davis"	0.0752048
"Ian Wright"	0.0751721
"Sam Clancy"	0.0746085
"Gabe Muoneke"	0.0745808
"Clifford Robinson"	0.0743889
"Morris Peterson"	0.0743576
"Ian Laperriere"	0.0742608
"Jerome Kersey"	0.074202
"Herb Williams"	0.0740321
"Faustino Asprilla"	0.0735836
"Elden Campbell"	0.073558
"Brian McBride"	0.0734724
"Jamie Feick"	0.0733767
"Paul Pierce"	0.0732262
"Jake Voskuhl"	0.0729525
"Ron Artest"	0.0728302
"Sheryl Swoopes"	0.0720612
"Marcus Fizer"	0.0720435
"Etan Thomas"	0.0719734
"Ron Mercer"	0.0718439
"Sun Wen"	0.0717768
"Jere Lehtinen"	0.0717677
"Stern John"	0.0716547
"Darren McCarty"	0.0714777
"Carlos Rogers"	0.0714434
"Carlos Hermosillo"	0.0714014
"Khodadad Azizi"	0.0712609
"Peter Forsberg"	0.0712597
"Brian Shaw"	0.0711822
"Antoine Carr"	0.0711537
"Tore Andre Flo"	0.0709417
"Jerome Moiso"	0.0708298
"Derek Plante"	0.0707398
"Brad Isbister"	0.0704663
"Keith Brooking"	0.070255
"Adam Oates"	0.0701744
"Terry Cummings"	0.069965
"Yolanda Griffith"	0.0697728
"Dejan Stankovic"	0.0697465
"Kirk Muller"	0.0695412
"Natalie Williams"	0.0695015
"Steve Yzerman"	0.0694844
"Damien Woody"	0.0694043
"Tim Duncan"	0.0694015
"Michael Wright"	0.0690946
"Dominique Wilkins"	0.0690919
"Mike Modano"	0.0690802
Garrity	0.0689621
"Mats Sundin"	0.068679
"Todd Harvey"	0.0685984
"Nikki McCray"	0.0683919
"Travis Green"	0.0683608
"Roy Lassiter"	0.068284
"Jason Allison"	0.0681281
"Kendall Gill"	0.0681224
"Antawn Jamison"	0.0679743
"Mark Bryant"	0.0674849
"Greg Adams"	0.0674255
"Hidetoshi Nakata"	0.0673907
"Mike Miller"	0.0671837
"Shane Doan"	0.0671569
"Raul Gonzalez"	0.0670483
"Wally Szczerbiak"	0.0668975
"Danny Fortson"	0.0667833
"Kelvin Cato"	0.0667674
"Rick Tocchet"	0.0663845
"Rex Chapman"	0.0660563
"Pat Verbeek"	0.0659844
"Yanic Perreault"	0.0658561
"Othella Harrington"	0.0657602
"Bob Corkum"	0.0657157
"Patrick Kluivert"	0.0656123
"hot rod"	0.0655102
"Curtis Brown"	0.0654248
"Mark Messier"	0.0652319
"Patrik Stefan"	0.0651437
"Rasheed Wallace"	0.0649544
))
("Chris Antley" (desc 2533.15) (sims
"Jorge Chavez"	0.326942
"Gary Stevens"	0.286938
"Pat Day"	0.272804
"Jerry Bailey"	0.25012
"Alex Solis"	0.244125
"David Flores"	0.231753
"Kent Desormeaux"	0.227706
"Chris McCarron"	0.207643
"Corey Nakatani"	0.171858
Antley	0.14496
"Mike Smith"	0.127522
"Thunder Gulch"	0.103157
"Bob Baffert"	0.0952101
"Bill Shoemaker"	0.0921726
"Cat Thief"	0.0852538
"Real Quiet"	0.0738177
"Laffit Pincay"	0.0737619
Rueter	0.0732299
"Nick Zito"	0.0731303
"Silver Charm"	0.0728653
grindstone	0.0683329
Artax	0.0679187
"Richard Mandella"	0.0669337
"Desert Hero"	0.0652657
Anees	0.0645084
"Red Bullet"	0.0642636
"Preakness Stakes"	0.0638639
Valhol	0.0627492
claimer	0.0616991
McCarron	0.0612018
"A.P Indy"	0.0609013
"D. Wayne Lukas"	0.0603723
Daylami	0.0602467
Dragila	0.0590604
"Free House"	0.0587252
"Tim Hudson"	0.0585252
"Woody Williams"	0.0583235
Meche	0.0580573
"Kevin Tapani"	0.0570801
Lari	0.0568276
Menifee	0.0565539
"Puerto Madero"	0.0564373
Silverbulletday	0.0559591
"Brian Moehler"	0.055839
"Mark Gardner"	0.0558206
"Stephen Got Even"	0.055621
Atler	0.0549983
bearcat	0.0544825
Hentgen	0.0536094
"Lemon Drop Kid"	0.0533112
"Worldly Manner"	0.0523776
"Russ Ortiz"	0.0522911
"Edie Falco"	0.0512026
Capel	0.0509617
Preakness	0.0504416
"Chris Boardman"	0.0504211
"Winning Colors"	0.0502477
"James Baldwin"	0.0502378
Boilermakers	0.0502368
"Old Dominion"	0.0499896
Ferdinand	0.049967
"Scarlet Knights"	0.0495582
"War Chant"	0.0494029
Illini	0.0491568
D'Amico	0.0489431
"Steve Parris"	0.0486226
blinker	0.048564
"Touch Gold"	0.048452
"Eric Milton"	0.0483756
Shinn	0.0480183
Arazi	0.0475566
Jayhawks	0.0475484
"Excellent Meeting"	0.0473189
"Xia Xuanze"	0.0472847
"High Yield"	0.0471959
Hermanson	0.0470999
"Eddie Cheever"	0.0470375
Huskers	0.0469837
"Gil Heredia"	0.0469749
"Shane Reynolds"	0.0465123
Krone	0.0463862
Budroyale	0.0463435
"Pat Hentgen"	0.0462498
"Arnaud Di Pasquale"	0.0461018
"John Halama"	0.0459449
Sooners	0.045653
terrapin	0.0455689
Summitt	0.0453563
sociopath	0.0449512
"Bjarne Riis"	0.0444531
Jalabert	0.0442694
"John Burkett"	0.0441946
Longo	0.0441895
"Ji Xinpeng"	0.0441652
Adonis	0.0440038
"Marco Pantani"	0.0439805
"Dave Burba"	0.0438822
Lobos	0.0437946
"Awesome Again"	0.043793
Solis	0.0436517
vagabond	0.0436343
"Moses Tanui"	0.0435977
"Kirk Rueter"	0.0435618
guild	0.0434458
"Victory Gallop"	0.0433432
"Cash Run"	0.0430088
"Cup Classic"	0.0428212
"Richard Hatch"	0.0427386
"Christophe Dugarry"	0.0424271
"Regina Jacobs"	0.042422
Valenzuela	0.0422889
"Seattle Slew"	0.0420758
"Rocco Mediate"	0.0420596
"Miguel Indurain"	0.0417058
"Rick Helling"	0.041583
Clavet	0.0415741
"Jon Lieber"	0.041408
Briscoe	0.0414057
"Aaron Sele"	0.0411038
"Georgia Southern"	0.0410591
"BRIAN MEADOWS"	0.0410491
"Eric Cantona"	0.0410242
"Answer Lively"	0.0409993
"Mike Sirotka"	0.0407969
"Gong Ruina"	0.0406108
"moving van"	0.0405803
"Neil Drysdale"	0.0404101
Hal	0.040346
"Derrick Adkins"	0.0402646
"Southern Democrats"	0.0401503
"Jose Lima"	0.0400966
gamecock	0.0400541
Mussina	0.0400015
))
("Chris Berman" (desc 1235.49) (sims
"Keith Olbermann"	0.206393
"Bob Costas"	0.196676
"Vin Scully"	0.143952
"Pat Summerall"	0.130348
"Al Michaels"	0.130164
SportsCenter	0.120314
"Bryant Gumbel"	0.118136
"Marv Albert"	0.114882
Costas	0.112417
"Lou Dobbs"	0.109958
"Ted Koppel"	0.106668
"Bernard Shaw"	0.0936503
"Charles Gibson"	0.0911645
"Kathie Lee"	0.0911314
"Matt Lauer"	0.0872557
"Larry King"	0.0831247
"Johnny Bench"	0.0815336
"Katie Couric"	0.0754196
"X Games"	0.0753141
"Terry Bradshaw"	0.0741368
Michaels	0.073086
"Walter Cronkite"	0.0730212
"Jim Gray"	0.0729447
Ciampi	0.0721474
sportscaster	0.0705726
"Don Sutton"	0.0697065
"Dan Dierdorf"	0.0672671
Strauss-Kahn	0.0653625
Borodin	0.0653029
"Rosie O'Donnell"	0.0644106
"Dan Rather"	0.0631548
"Heather Locklear"	0.0622641
"Martin Luther King III"	0.0617632
Philbin	0.0609005
Abdel-Meguid	0.0600934
"Jon Stewart"	0.0600183
Teresi	0.0598206
"Connie Chung"	0.0593021
"Regis Philbin"	0.0592224
Ruehe	0.0590469
"Don Imus"	0.0584561
Tuttle	0.0580796
"Laura Schlessinger"	0.0577839
"Jenny Jones"	0.0569986
Hage	0.0567501
"James Brown"	0.0566605
"Frank Gifford"	0.0566496
"William Shatner"	0.0565428
"Jim Lehrer"	0.0564967
Fassett	0.0562039
Shamshad	0.0555042
"Johnny Carson"	0.0554852
"Sam Donaldson"	0.0550692
Titov	0.0536624
Maag	0.0535002
"Vince Gill"	0.053216
Scalfaro	0.0531535
"Phil Donahue"	0.0530863
"Whoopi Goldberg"	0.0528515
Musgrove	0.0528356
"Steve Allen"	0.0528256
"Dick Clark"	0.0523755
Rudman	0.0523163
Rockefellers	0.051957
Brinkman	0.0519136
Reimer	0.051838
Zambrano	0.0517848
Beazley	0.0515537
"Jerry Springer"	0.0514202
"Billy Crystal"	0.0512489
McGuinness	0.0504093
Frankenheimer	0.0499296
Schmalensee	0.0499176
GUMBEL	0.0498843
"Howard Stern"	0.0498563
Jenoff	0.0498318
"Brian Williams"	0.0495608
Shatner	0.0494601
Margolis	0.0492478
"Joan Rivers"	0.0491734
Brittan	0.0490854
Nickerson	0.0489347
Nacchio	0.048869
"Peter Jennings"	0.0488117
Osmond	0.0487614
Cooley	0.0485936
"Bill Maher"	0.0482204
"Jay Leno"	0.0481804
"David Spade"	0.0478988
Milbury	0.0478063
"U.S. Administration"	0.0476819
Molinari	0.0474556
"Patsy Ramsey"	0.0473532
"El Hage"	0.0472752
"Bill Cosby"	0.0472613
Stroyev	0.0471432
Yazdi	0.0469523
"Tom Brokaw"	0.046742
Markey	0.0466322
Leno	0.0466248
"John Madden"	0.0464719
"Conan O'Brien"	0.0464048
oddsmakers	0.0463754
Kromah	0.0458788
"talking head"	0.0457672
"Howie Long"	0.0457628
"Igor Sergeyev"	0.0457055
"George Will"	0.0455541
ANGELOS	0.0455052
"Rush Limbaugh"	0.0454157
"Kathie Lee Gifford"	0.0453488
Korman	0.0451118
Russert	0.0446526
Cleese	0.0444124
Ahtisaari	0.0442436
"Ed McMahon"	0.0441955
Tevanian	0.0441132
"Dennis Miller"	0.0440006
"Boomer Esiason"	0.0436836
Brogna	0.043673
Lafleur	0.0434838
Bildt	0.043474
execs	0.0434322
"Pete Rose"	0.0434111
Barbour	0.0433512
Berra	0.0432082
branding	0.0431773
"Irina Privalova"	0.0431232
Yoakam	0.0430058
Figgis	0.042949
"Ricardo Alarcon"	0.0428657
"Garry Shandling"	0.0428503
"Red Auerbach"	0.0428464
Alves	0.0426833
Severino	0.0425675
"Tony Perez"	0.0423452
"Vince Lombardi"	0.042331
Marulanda	0.0421904
Barnett	0.0420612
Beilin	0.0420487
Meguid	0.0419404
Slatkin	0.0418071
Marsalis	0.0417918
Cowens	0.0417586
Meyers	0.0415759
Fernandes	0.0415261
Napolitano	0.0414475
Couric	0.0414156
"HOWARD COSELL"	0.0413077
"Juwan Howard"	0.0411523
"Christopher Reeve"	0.0410926
Shurmur	0.041005
telemarketer	0.0408976
Krall	0.0407329
Gauthier	0.0406988
"Alanis Morissette"	0.040668
Koskinen	0.0406347
"James Dobson"	0.0406249
"Kenneth Clarke"	0.0405344
Eubanks	0.0404027
Granic	0.0403795
Mercurio	0.0403656
"Billy Graham"	0.0403503
Bruton	0.0402785
Cavallo	0.0402271
"Bob Hope"	0.0402115
Olbermann	0.0402012
Niyazov	0.0401575
Brokaw	0.0401421
))
("Chris Boardman" (desc 2613.32) (sims
"Colin McRae"	0.288142
"Jonathan Edwards"	0.229914
"Damon Hill"	0.22868
"Richard Burns"	0.226874
"Abraham Olano"	0.224848
"Liu Limin"	0.224493
"Johan Museeuw"	0.22423
"Laurent Jalabert"	0.224218
"Colin Jackson"	0.223457
"Linford Christie"	0.222374
"Steve Backley"	0.202478
"Michael Doohan"	0.197314
"David Coulthard"	0.196412
"Laurent Brochard"	0.1937
"Marco Pantani"	0.190806
"Erik Zabel"	0.189228
"Tom Dolan"	0.188089
"Tom Steels"	0.183971
"Hiroyasu Shimizu"	0.183526
"Irina Privalova"	0.182344
"Miguel Indurain"	0.178737
"Francesco Casagrande"	0.178707
"Pavel Tonkov"	0.176971
"Tegla Loroupe"	0.17287
"Alex Zuelle"	0.171675
"Paul Tergat"	0.169539
"Sonia O'Sullivan"	0.169072
Jalabert	0.168687
"Thomas Stangassinger"	0.166934
"Gabriela Szabo"	0.165518
"Michele Bartoli"	0.163919
"Bjarne Riis"	0.161332
"Stuart O'Grady"	0.160418
"Tommi Makinen"	0.159781
"Eddie Irvine"	0.157324
"Mario Cipollini"	0.155649
"Svetlana Masterkova"	0.154926
"Wang Yifu"	0.151517
"Lance Armstrong"	0.149903
"Koji Ito"	0.148706
"Lasse Kjus"	0.148293
"Li Jiajun"	0.147533
"Le Jingyi"	0.146527
"Brooke Bennett"	0.144564
"Claudia Poll"	0.144199
Boardman	0.143045
"Alex Zulle"	0.14174
"Daniel Komen"	0.141396
"Penny Heyns"	0.141285
"Fatuma Roba"	0.140453
"Katja Seizinger"	0.139859
"Li Xuemei"	0.139105
"Richard Virenque"	0.138937
"Laurent Dufaux"	0.137824
"Haile Gebrselassie"	0.137771
"MIka Hakkinen"	0.135336
"Bernard Barmasai"	0.135206
"Moses Tanui"	0.135172
Longo	0.134993
"Max Biaggi"	0.134972
"Khalid Khannouchi"	0.133394
"Sandra Voelker"	0.133149
"Kieren Perkins"	0.132885
"Wu Yanyan"	0.13155
"Deborah Compagnoni"	0.131289
"Samantha Riley"	0.130921
Ullrich	0.130884
"Gail Devers"	0.129996
"Michael Von Gruenigen"	0.129576
"Denis Pankratov"	0.12865
"Claudia Pechstein"	0.128427
"Maria Mutola"	0.128325
"Donovan Bailey"	0.127917
Shuwei	0.127493
"Fu Mingxia"	0.12706
"Hilde Gerg"	0.126705
"Wang Junxia"	0.124897
Zelezny	0.12417
"Gunda Niemann-Stirnemann"	0.123753
"Carlos Sainz"	0.123196
"Svetlana Khorkina"	0.122463
"Gianni Romme"	0.122329
Pantani	0.122112
"Elena Berezhnaya"	0.121196
"Greg Rusedski"	0.120775
"Javier Sotomayor"	0.120651
"Pernilla Wiberg"	0.120069
"Chen Lu"	0.119283
"John Godina"	0.119188
"Deon Hemmings"	0.118803
"Zoran Primorac"	0.118393
"Rintje Ritsma"	0.118317
"Renate Goetschl"	0.118312
"Alexandra Meissnitzer"	0.118132
"Hicham El Guerrouj"	0.118074
"Bjarte Engen Vik"	0.117994
"Wilson Kipketer"	0.117818
"Allen Johnson"	0.117541
"Merlene Ottey"	0.11744
"Yu Zhuocheng"	0.117247
"Randy Barnes"	0.116973
Doohan	0.116778
"Lin Li"	0.116649
"Picabo Street"	0.116422
"Kim Batten"	0.115607
"Alex Zanardi"	0.114602
"Elvis Stojko"	0.114542
"Alexei Yagudin"	0.11425
"Peter Rasmussen"	0.113885
"Frankie Fredericks"	0.113527
"Susie O'Neill"	0.113486
"Maria Butyrskaya"	0.113168
"Jeremy Wotherspoon"	0.112776
"Sergi Bruguera"	0.111676
"Dong Jiong"	0.111587
"Rodney Eyles"	0.111293
"Isolde Kostner"	0.111292
"Derrick Adkins"	0.111184
"Michael Schumacher"	0.109869
"Alexei Urmanov"	0.109553
Sainz	0.109527
"Maurice Greene"	0.108106
"Alexei Nemov"	0.107773
"Michael Klim"	0.107195
"Stacy Dragila"	0.107128
"Jansher Khan"	0.106567
"Frank Bruno"	0.106352
"Hermann Maier"	0.106237
"Charles Austin"	0.106183
"Marie-Jose Perec"	0.10615
"Alexander Popov"	0.105078
"Jacques Villeneuve"	0.104974
"Peter Nicol"	0.104848
"Vodafone Airtouch PLC"	0.104776
"Candra Wijaya"	0.104746
"Noureddine Morceli"	0.104484
Makinen	0.104289
"Simona Amanar"	0.104254
"Sergei Bubka"	0.104004
Devers	0.103943
"Inger Miller"	0.103927
Kipketer	0.103646
"Chen Yan"	0.103531
"Michael Johnson"	0.102806
Zabel	0.10278
"Ivan Pedroso"	0.102545
Bruguera	0.101975
Zuelle	0.101906
"Ge Fei"	0.10106
"Liu Xuan"	0.10063
"Kong Linghui"	0.10042
"Lennox Lewis"	0.100315
"Jorgen Persson"	0.100231
Sotomayor	0.0999575
"Anjelika Krylova"	0.099745
"Susi Susanti"	0.099583
"Thomas Muster"	0.0994342
Sautin	0.0994148
"Lenny Krayzelburg"	0.0993249
"Martina Ertl"	0.099037
"Wang Nan"	0.098776
"Liu Guoliang"	0.098567
"Albert Costa"	0.0980775
Klim	0.0980626
"Blaine Wilson"	0.0979318
"Kjetil Andre Aamodt"	0.0977911
"Yang Yang"	0.0977884
"Dan O'Brien"	0.0975447
"Garry Kasparov"	0.0973375
"Jackie Joyner-Kersee"	0.097322
"Didier Auriol"	0.0972132
"Tim Henman"	0.0965482
"Jean-Philippe Gatien"	0.0962369
"Arie Luyendyk"	0.0961495
"Ian Thorpe"	0.0957679
"Christine Arron"	0.0952417
Tanui	0.0945634
"Dario Franchitti"	0.0945171
"Ye Zhaoying"	0.0943593
"Guo Jingjing"	0.0942591
Svorada	0.0937554
"Anita Wachter"	0.0937331
"Regina Jacobs"	0.0937231
"Jan-Ove Waldner"	0.0932688
"Xiong Ni"	0.093073
"Juha Kankkunen"	0.0929412
"Tyler Hamilton"	0.092902
"Michelle Kwan"	0.0928681
"Lu Yufu"	0.0926558
Ottey	0.0925899
"Kenny Brack"	0.0925264
"Wang Tao"	0.0923029
"Buster Douglas"	0.0919679
"Todd Eldredge"	0.0918838
"Rexy Mainaky"	0.0918393
"Felix Savon"	0.0918213
"Laura Davies"	0.0916538
Pippig	0.0915853
"Billy Boat"	0.0912859
"Martin Schmitt"	0.0912073
))
("Chris Calloway" (desc 1626.57) (sims
"Amani Toomer"	0.286052
"Andre Rison"	0.222089
"Yancey Thigpen"	0.205623
"Terance Mathis"	0.196317
"Ike Hilliard"	0.193249
"Tony Martin"	0.184395
"Andre Reed"	0.17948
"Dez White"	0.169972
"Tim Dwight"	0.167994
"Jimmy Smith"	0.163399
"Shawn Jefferson"	0.159794
"Ed McCaffrey"	0.158398
"Antonio Freeman"	0.158384
"Troy Brown"	0.155862
"Windrell Hayes"	0.15491
"Dedric Ward"	0.154758
"Marcell Allmond"	0.152539
"Vincent Brisby"	0.149638
"HERMAN MOORE"	0.147999
"Derrick Mayes"	0.147636
"Eric Metcalf"	0.147041
"Danny Farmer"	0.146942
"Frank Sanders"	0.144422
"Billy Davis"	0.143494
"Rod Smith"	0.142033
"Phillippi Sparks"	0.13951
"Oronde Gadsden"	0.13706
"Tony Simmons"	0.135763
"Eric Moulds"	0.130029
"R. Jay Soward"	0.129868
"Carl Pickens"	0.129847
"Dave Brown"	0.128956
"Kevin Williams"	0.126452
"Chris Taylor"	0.126043
"Rob Moore"	0.125213
"Peerless Price"	0.123727
"Wayne Chrebet"	0.123621
"Brian Poli-Dixon"	0.123082
"James McKnight"	0.12293
"Tim Brown"	0.122289
"Lynn Swann"	0.120862
"Rae Carruth"	0.119822
"Raghib Ismail"	0.11827
"Kent Graham"	0.117953
"Isaac Bruce"	0.117551
"Robert Brooks"	0.117145
"Rocket Ismail"	0.116401
"Michael Westbrook"	0.115574
"Gary Brown"	0.11503
"Ernie Mills"	0.115004
"Cornelius Bennett"	0.114186
"Wane McGarity"	0.113472
"Torry Holt"	0.113309
"Kevin Dyson"	0.113066
"Terrell Owens"	0.112713
"Kareem Kelly"	0.11178
"J.J Stokes"	0.111524
"Danny Kanell"	0.111246
"Joey Galloway"	0.110337
"Cris Carter"	0.110292
"Jeff Ogden"	0.110124
"Jason Tucker"	0.109922
"Jake Reed"	0.108366
"Jessie Armstead"	0.10408
"Marvin Harrison"	0.103999
"Derrick Alexander"	0.103063
"David Boston"	0.101906
"Jason Sehorn"	0.0998334
"Larry Whigham"	0.0976496
"Chuck Smith"	0.0975336
"Jermaine Lewis"	0.0962601
"Russ Ortiz"	0.0935095
"Kevin Johnson"	0.0933605
"Keyshawn Johnson"	0.0920556
"Ronnie Bradford"	0.0918446
"Bobby Brown"	0.0900525
"Kyle Brady"	0.088922
"Peter Warrick"	0.0881008
"Tiki Barber"	0.0879527
"O.J Santiago"	0.0860526
"Jessie Tuggle"	0.0852595
"Tony Graziani"	0.0843566
"Michael Irvin"	0.0830399
"Doug Pederson"	0.0829741
"Eugene Robinson"	0.0828117
"Mark Gardner"	0.0825085
"Fred Taylor"	0.0822235
"Kirk Rueter"	0.0813357
"Chris Chandler"	0.0808978
Brisby	0.0803546
"Freddie Mitchell"	0.0800677
"Jerry Rice"	0.0791396
"Michael Booker"	0.0787456
"Kerry Collins"	0.0778551
"Phil Simms"	0.0763934
"Terry Glenn"	0.0761705
Mathis	0.0755837
"Terry Allen"	0.0749683
"Kevin Mathis"	0.0747964
"Steve Atwater"	0.0744363
"Keith Brooking"	0.0734919
Chrebet	0.0733015
"David LaFleur"	0.0722807
"Drew Bennett"	0.0721128
"Steve DeBerg"	0.0699484
"Erik Kramer"	0.0695781
"Brian Williams"	0.0677534
"Gene Williams"	0.0677256
Toomer	0.0674989
"Bobby Newcombe"	0.0673697
"Charlie Hayes"	0.0655393
Pickens	0.0651189
"Warrick Dunn"	0.0647615
"Warren Moon"	0.0642978
Gadsden	0.0633921
mini-camp	0.0631214
"Rich Brooks"	0.0630135
"John Fox"	0.0624523
"Derek Harper"	0.0617437
"Charles Haley"	0.0616795
"Jeff Blake"	0.0608595
"Shawn Estes"	0.0606931
"Michael Strahan"	0.0600046
"Neil Smith"	0.0595772
"Lester Archambeau"	0.0592688
"Dale Carter"	0.0584774
"Trevor Kidd"	0.0576668
Calloway	0.0575528
"Jackie Harris"	0.0572521
downfield	0.0572329
Fiedler	0.0569313
Ismail	0.0566057
"Ben Coates"	0.0563884
"Alan Embree"	0.0562557
Dwight	0.0562298
"Chris Warren"	0.056014
"Steve Largent"	0.0559631
"Brian Moehler"	0.055656
"Everett McIver"	0.055312
"GERONIMO BERROA"	0.0549038
"Todd Husak"	0.0548078
"Lawrence Taylor"	0.0546831
"Morten Andersen"	0.0544866
Galloway	0.0541069
"Travis Hall"	0.054068
"Champ Bailey"	0.0539068
"Bob Whitfield"	0.0538469
returner	0.0534883
"Ray Buchanan"	0.052929
"Charles Johnson"	0.0528879
Graziani	0.0519578
"Travis Knight"	0.0519094
"Karim Abdul-Jabbar"	0.0518954
"Kevin Hartman"	0.0518651
Irvin	0.0511486
"Arturs Irbe"	0.050763
"Gus Frerotte"	0.0505491
"Larry Centers"	0.0505067
punter	0.0502634
Kanell	0.0500821
Laudrup	0.0500386
Hilliard	0.0498468
"Skip Hicks"	0.0496878
"Trent Green"	0.0496329
Marinovich	0.0495326
"Michael Wiley"	0.0494205
"Tex Winter"	0.0490269
"Shannon Sharpe"	0.0489129
cornerbacks	0.0488747
"Joe Kleine"	0.0482622
"Olden Polynice"	0.0480496
"Jamal Anderson"	0.0479435
"Mike Jones"	0.0475059
"J.T Snow"	0.0474268
"Gil Meche"	0.0470811
"William White"	0.0470744
McDuffie	0.0470453
"Ron Harper"	0.0468595
"Rich Rodriguez"	0.0468405
Dawkins	0.0467497
"John Vanbiesbrouck"	0.0465001
"Pete Holland"	0.0461292
"Brian Shaw"	0.0460547
Garrett	0.046017
"Angelo Peruzzi"	0.0457774
"Willie Clay"	0.0457554
Cleaves	0.0454637
"Carl Pavano"	0.0454052
"Orel Hershiser"	0.0453842
"Quentin Coryatt"	0.0452653
"Robb Nen"	0.0452617
"putty knife"	0.0451673
Tuinei	0.0450405
"Sean Burke"	0.0449039
"Eric Milton"	0.0447522
"Bobby Estalella"	0.0445624
"Tyrone Wheatley"	0.0444036
Faulk	0.0443853
"John Burkett"	0.0442457
"Pat Rapp"	0.0436783
))
("Chris Canty" (desc 1901.64) (sims
"Steve Israel"	0.266436
"Tebucky Jones"	0.257496
"Michael Booker"	0.217616
"Ty Law"	0.173693
"Tony George"	0.163864
"Robert Edwards"	0.162416
"Tedy Bruschi"	0.150167
"Keith Brooking"	0.148494
"Charles Woodson"	0.142671
"Damien Woody"	0.137198
"Willie Clay"	0.133119
"Otis Smith"	0.131186
"Chris Slade"	0.128231
"Champ Bailey"	0.126891
"Tony Carter"	0.125431
"Dwayne Goodrich"	0.120162
"Zach Thomas"	0.117563
"Chris McAlister"	0.11749
"Darrell Green"	0.116004
"Sebastian Janikowski"	0.115753
"Willie McGinest"	0.115187
"Andy Katzenmoyer"	0.11452
"Curtis Enis"	0.11393
"Darius Miles"	0.112152
"Bruce Armstrong"	0.11061
"Brandon Mitchell"	0.108897
"Chris Carter"	0.108148
"Ted Johnson"	0.107598
"Chad Eaton"	0.107063
"Shawn Jefferson"	0.106335
"Ronnie Bradford"	0.104415
Bly	0.102357
"Devean George"	0.101161
"Ray Buchanan"	0.100249
"L.J Shelton"	0.100015
"Andre Wadsworth"	0.0995557
"Michael Olowokandi"	0.0988969
"Sam Madison"	0.097871
"John Avery"	0.0963031
"Phillippi Sparks"	0.0960971
"Dave Wohlabaugh"	0.0949843
"Shawn Marion"	0.0913371
"Patrik Stefan"	0.0911486
"Solomon Page"	0.0905596
"Greg Ellis"	0.0902736
"Aeneas Williams"	0.0900289
"Jason Sehorn"	0.0892046
"Tony Simmons"	0.0879116
"Darrien Gordon"	0.086138
"Kevin Mathis"	0.0861058
"Thomas Jones"	0.0846001
"Vincent Brisby"	0.0818632
"Antonio Langham"	0.0814078
"Dave Thomas"	0.0795624
"Heath Irwin"	0.0792915
Langham	0.0779717
"John Tait"	0.0777281
"Mario Edwards"	0.0772846
"Samaki Walker"	0.0764242
"Donovan McNabb"	0.0762607
"Edgerrin James"	0.0761175
"Dale Carter"	0.0760442
"Kevin Faulk"	0.0752162
"Ryan Roques"	0.073687
"Leon Smith"	0.0736428
"Tony Graziani"	0.0734306
"Tom Tupa"	0.0731247
"Chamique Holdsclaw"	0.0730148
"Raef LaFrentz"	0.0728685
"Chris Claiborne"	0.0715438
"Mike Brown"	0.0714029
"Al Harrington"	0.0713411
"Michael Myers"	0.0713194
"J.R Redmond"	0.069884
"Tim Couch"	0.0689792
Stepanova	0.0676475
"J.D Drew"	0.0674543
"Charlie Williams"	0.066789
"Aaron Glenn"	0.0667127
"Pat Burrell"	0.066374
"Scott Zolak"	0.0656214
"Dirk Nowitzki"	0.065527
"Larry Whigham"	0.065299
"Mark Madsen"	0.064714
"LaVar Arrington"	0.0643172
"David Boston"	0.0637823
"Kenyon Martin"	0.0636632
"Mike Bibby"	0.0624011
"Walter Zenga"	0.0619199
"Deion Sanders"	0.0608249
"Joe Thornton"	0.0605641
"Ebenezer Ekuban"	0.0603476
"Jason Fabini"	0.0600588
Milloy	0.0600299
"Drew Bledsoe"	0.0599708
"Jumaine Jones"	0.0591565
"Wally Szczerbiak"	0.0590375
"Ron Mercer"	0.0585809
"Rico Brogna"	0.0584279
"Jim Druckenmiller"	0.0582923
"Marques Anderson"	0.0577074
"Andre Miller"	0.0571264
"Pat Garrity"	0.0564854
"Tyler Houston"	0.0564275
"Sedrick Shaw"	0.0563353
"Ferric Collons"	0.0560065
"Flozell Adams"	0.0559512
"Ernie Zampese"	0.0559466
"Ephraim Salaam"	0.0555834
"Larry Brown"	0.0555831
"Trung Canidate"	0.0555772
"Max Lane"	0.0555359
Olowokandi	0.0547276
"Jason Taylor"	0.0545693
"Paul Pierce"	0.0543065
"Jason Bell"	0.0537422
"Kevin Smith"	0.0536941
"Tyronn Lue"	0.0535451
"Tim Dwight"	0.0532073
Canty	0.0525982
"Al Groh"	0.0524973
cornerbacks	0.0524772
"Peyton Manning"	0.0523053
"Dave Brown"	0.0519788
Turek	0.0515843
Grahame	0.0513005
"Cade McNown"	0.0512038
"little leaguer"	0.0511837
"Ricky Williams"	0.0509176
"Akili Smith"	0.0508503
"Daunte Culpepper"	0.0507892
"Antawn Jamison"	0.0507672
"Randy Moss"	0.0504379
"Jonathan Bender"	0.0503892
"Steve Francis"	0.0501523
"Toby Bailey"	0.0495951
"Bonzi Wells"	0.049396
"Jelani McCoy"	0.0493043
"Manny Alexander"	0.0489669
"Jamie Feick"	0.0484581
Intimidator	0.048269
"Brian Griese"	0.0482315
McAlister	0.0477287
"Wane McGarity"	0.0477165
"Todd MacCulloch"	0.0475467
"JEVON KEARSE"	0.0475084
Maag	0.0469704
"Courtney Alexander"	0.0468045
"Adam Vinatieri"	0.0467647
"Andre Rison"	0.0460849
"Chad Brown"	0.0460624
"Doug Pederson"	0.0459799
"Robert Horry"	0.0456708
"Elton Brand"	0.0453124
"Henry Thomas"	0.0452438
"Dez White"	0.0447488
Maggette	0.0446708
"Troy Brown"	0.0446238
"Kevin Dyson"	0.0445022
upfield	0.0439975
whomever	0.0438811
Stefan	0.0437866
"American plane"	0.0437508
"Ricky Watters"	0.0435544
"Lee Nailon"	0.0434202
"Jason Terry"	0.0433194
pivotals	0.0432905
"Darrin Smith"	0.0432776
"Torry Holt"	0.0432584
flashbulb	0.0431981
resister	0.0431668
"Roman Turek"	0.0430778
"Etan Thomas"	0.0430339
"Randall Godfrey"	0.0427548
"Charlie Batch"	0.0427489
"Jeff Weaver"	0.0426309
"Terry Glenn"	0.0425884
QBs	0.0425079
"Michael Bishop"	0.0423006
"Big Bird"	0.0421077
Brisby	0.0420292
Detmer	0.0418619
"Shaun King"	0.0414975
Nowitzki	0.0414212
third-graders	0.0412067
Lue	0.0411147
goosebumps	0.0407964
"Todd Husak"	0.0407487
"Jocelyn Thibault"	0.0405689
"Cecil Collins"	0.0405466
"Ben Coates"	0.0402922
Karpov	0.0402825
"Joe Dumars"	0.0400119
))
("Chris Carpenter" (desc 1067.96) (sims
"Pat Hentgen"	0.351264
"Russ Ortiz"	0.340071
"Woody Williams"	0.338695
"Brian Moehler"	0.324428
"BRIAN MEADOWS"	0.321605
"Jeff Weaver"	0.317977
"Javier Vazquez"	0.311027
"Jon Lieber"	0.30706
"Francisco Cordova"	0.296916
"Gil Heredia"	0.289643
"Jamey Wright"	0.280172
"Bryce Florie"	0.270503
"Pedro Astacio"	0.269307
"Jesus Sanchez"	0.2689
"Steve Parris"	0.262812
"John Snyder"	0.262795
"Jason Schmidt"	0.261862
"Mike Sirotka"	0.261291
"Dustin Hermanson"	0.259352
"Mark Gardner"	0.258605
"Jason Bere"	0.257476
"Eric Milton"	0.255266
"Jim Parque"	0.252904
"Scott Karl"	0.25239
"Kirk Rueter"	0.251369
"Paul Abbott"	0.249703
"Shawn Estes"	0.247073
"Sean Bergman"	0.246703
"Armando Reynoso"	0.245112
"Brad Radke"	0.24015
"Joey Hamilton"	0.239063
"John Burkett"	0.234114
"Pat Rapp"	0.232031
"Tom Candiotti"	0.231501
"Steve Trachsel"	0.229328
"Chris Holt"	0.22731
"Juan Guzman"	0.227155
"Dave Mlicki"	0.225675
"Ron Villone"	0.225339
"Kevin Tapani"	0.223291
"Matt Morris"	0.220978
"Carl Pavano"	0.211942
"Steve Sparks"	0.211135
"Mac Suzuki"	0.210735
"Paul Byrd"	0.210492
"Pete Harnisch"	0.209897
"STEVE WOODARD"	0.209788
"Brian Rose"	0.20627
"Bartolo Colon"	0.204336
"Shane Reynolds"	0.203926
"Mark Portugal"	0.202921
"Dave Burba"	0.202397
Benes	0.201895
"Scott Erickson"	0.201429
"Wilson Alvarez"	0.200669
"Tim Hudson"	0.1977
"Esteban Loaiza"	0.197102
"Brian Bohanon"	0.196252
Bere	0.195995
"John Halama"	0.195491
"Ramon Ortiz"	0.195309
Hermanson	0.193587
"Sidney Ponson"	0.192798
"Rolando Arrojo"	0.192463
"Jose Jimenez"	0.192386
"Scott Elarton"	0.190901
Rusch	0.189525
"Livan Hernandez"	0.189138
Lieber	0.188755
Kile	0.184323
"Ken Cloude"	0.18375
"Brett Tomko"	0.183505
"Russ Springer"	0.183394
"Freddy Garcia"	0.182368
D'Amico	0.181428
"Gil Meche"	0.180642
"Kent Bottenfield"	0.18032
"Omar Olivares"	0.179877
Dempster	0.179506
"Mark Clark"	0.179491
"Ryan Dempster"	0.178839
"Mark Langston"	0.177504
"Brian Cooper"	0.177347
"Brian Anderson"	0.176833
"Sterling Hitchcock"	0.175622
"Brad Penny"	0.175484
"Terry Mulholland"	0.175192
"Tim Belcher"	0.174963
"Jaret Wright"	0.174676
"Andy Ashby"	0.174543
"Hideki Irabu"	0.173981
Trachsel	0.173971
"Bill Pulsipher"	0.173008
Ankiel	0.172744
"Omar Daal"	0.172207
"Kent Mercker"	0.17216
"Scott Schoeneweis"	0.171822
"Kevin Appier"	0.171339
Candiotti	0.170769
Bottenfield	0.170687
Rueter	0.170389
Hentgen	0.169764
"John Wasdin"	0.168991
"Aaron Sele"	0.168981
"James Baldwin"	0.168964
"Masato Yoshii"	0.168296
"Andy Benes"	0.168265
"Randy Myers"	0.167969
"Ryan Glynn"	0.166358
"Charles Nagy"	0.166173
"Jamie Moyer"	0.165936
Astacio	0.165741
"Jin Ho Cho"	0.165308
"Octavio Dotel"	0.165089
"Willie Blair"	0.164799
Heredia	0.1647
"Darren Dreifort"	0.163739
"Alex Fernandez"	0.162792
Parris	0.162553
"Dan Miceli"	0.162129
"Jarrod Washburn"	0.160985
Schourek	0.160796
Pavano	0.160531
Loaiza	0.159883
"Paul Shuey"	0.158999
"Chan Ho Park"	0.158763
"Bret Saberhagen"	0.15873
Petkovsek	0.158581
"Darryl Kile"	0.158165
Burkett	0.157515
"Pedro Borbon"	0.157271
Eldred	0.156789
Moehler	0.15602
Daal	0.155818
"Jason Dickson"	0.155479
"Steve Avery"	0.155398
"Pete Schourek"	0.15492
"Darren Oliver"	0.154908
"Rick White"	0.154757
"Todd Stottlemyre"	0.154515
"Shigetoshi Hasegawa"	0.154309
"Frankie Rodriguez"	0.152748
"Ramiro Mendoza"	0.151546
"Kevin Millwood"	0.151539
Harnisch	0.151201
"Mark Petkovsek"	0.150991
"Vladimir Nunez"	0.150891
"Jack McDowell"	0.150545
"Rick Reed"	0.150117
"Jamie Arnold"	0.149926
"Ramon Martinez"	0.149862
"Pat Mahomes"	0.149047
"Al Levine"	0.148629
"Paul Spoljaric"	0.147793
"Rick Aguilera"	0.147496
Tapani	0.147454
"Tim Wakefield"	0.147249
Burba	0.14714
"Mike Morgan"	0.146971
"Donne Wall"	0.145743
"Robb Nen"	0.145393
Mahomes	0.145359
"Ken Hill"	0.144523
"Mike Remlinger"	0.144417
Radke	0.142787
Halama	0.14274
"Ricky Bottalico"	0.142061
"Danny Graves"	0.141737
Olivares	0.140996
"Jason Grimsley"	0.140627
"Jose Lima"	0.13974
Mercker	0.139446
"Jeff Fassero"	0.137264
"Doug Henry"	0.136485
Mussina	0.136287
"Brett Hinchliffe"	0.136239
"Scott Williamson"	0.13602
"Bruce Chen"	0.135938
"Andy Pettitte"	0.135231
"Mike Mussina"	0.135185
"Matt Herges"	0.134962
Checo	0.134833
"Chuck Finley"	0.134593
"Orel Hershiser"	0.133995
Reynoso	0.13345
"Bobby Jones"	0.133251
"Darrin Fletcher"	0.13321
"Alan Embree"	0.132945
"Rob Ducey"	0.132911
"John Hudek"	0.132716
"Dwight Gooden"	0.132685
"Ismael Valdes"	0.132575
"Hideo Nomo"	0.13113
"Jose Mesa"	0.130528
"Rick Helling"	0.129905
"Jay Powell"	0.129686
Rapp	0.129554
Suppan	0.129069
"Chuck McElroy"	0.128638
Osuna	0.127579
Vazquez	0.127307
"Antonio Osuna"	0.127252
"Carlos Perez"	0.126927
"Jeff Nelson"	0.12635
Bohanon	0.125775
Nagy	0.125209
"Jose Paniagua"	0.125069
Sele	0.124958
Elarton	0.124187
"Byung-Hyun Kim"	0.124072
"Mike Williams"	0.123055
"Doug Davis"	0.122517
Moyer	0.122436
Yoshii	0.121303
"Matt Perisho"	0.121064
"Turk Wendell"	0.119768
"Carlos Delgado"	0.119285
Perisho	0.119169
"Matt Mantei"	0.119164
Meche	0.11869
Remlinger	0.118656
Helling	0.118447
"Denny Neagle"	0.118311
"Scott Radinsky"	0.118287
Arrojo	0.118122
"Chuck Smith"	0.117901
"David Wells"	0.117627
"Al Leiter"	0.117546
Mlicki	0.11747
"Kenny Rogers"	0.117467
"Orlando Hernandez"	0.117144
"Heathcliff Slocumb"	0.116964
"Mike Timlin"	0.116886
"Bob Wickman"	0.116668
"Mike Hampton"	0.116145
Millwood	0.116032
Valdes	0.11603
"Roger Clemens"	0.115661
"Jason Isringhausen"	0.115247
"Alex Gonzalez"	0.115059
Schoeneweis	0.114993
"John Smoltz"	0.114547
"Rich Rodriguez"	0.114312
Herges	0.114272
"Troy Percival"	0.113535
"Eric Gagne"	0.113186
"David Cone"	0.112798
"Billy Taylor"	0.11273
"Justin Thompson"	0.112278
"Kevin McGlinchy"	0.111532
"Jason Christiansen"	0.111429
"Curt Schilling"	0.111234
"Greg Swindell"	0.110032
Guzman	0.110003
"Tim Crabtree"	0.109836
"Mike Magnante"	0.10981
"Odalis Perez"	0.109802
"Seth Etherton"	0.109561
Dickson	0.108216
"Robinson Checo"	0.108195
Woodard	0.107022
Dreifort	0.10674
Mulholland	0.106701
"Rudy Seanez"	0.106302
Ortiz	0.105744
"Tom Glavine"	0.105686
Fassero	0.105652
"Dennis Cook"	0.105027
"Allen Watson"	0.104891
"Terry Adams"	0.104854
"Armando Benitez"	0.104573
"Kerry Wood"	0.104194
Pulsipher	0.103977
"Rod Beck"	0.103976
"Scott Sullivan"	0.102942
Borbon	0.10283
Glynn	0.102775
Etherton	0.102444
Isringhausen	0.10241
Appier	0.102327
"Derek Lowe"	0.101996
Cordova	0.101872
"Ed Yarnall"	0.101573
"Jeff Zimmerman"	0.100963
))
("Chris Carrawell" (desc 1875.05) (sims
"Shane Battier"	0.462768
"Trajan Langdon"	0.293253
"Corey Maggette"	0.284169
"Elton Brand"	0.241807
"William Avery"	0.225712
"Gabe Muoneke"	0.183861
"Rico Hines"	0.175446
"Kevin Freeman"	0.17232
"Jarvis Turner"	0.17114
"Ricky Moore"	0.169606
"Mark Madsen"	0.166729
"Richard Hamilton"	0.15835
"Mateen Cleaves"	0.152696
"Sean Farnham"	0.148133
"Richard Jefferson"	0.141933
"Marcus Fizer"	0.141715
"Kris Clack"	0.137806
"Kenyon Martin"	0.135689
"Matt Santangelo"	0.13427
"Ron Artest"	0.131281
"Bobby Phills"	0.129649
"Tamika Catchings"	0.128601
"Etan Thomas"	0.124961
"Michael Wright"	0.123179
Maggette	0.122834
"Brian Scalabrine"	0.121515
"Kendall Gill"	0.121514
"Mike Miller"	0.119915
"Hu Weidong"	0.119214
"Michael Finley"	0.118137
"Ruben Patterson"	0.11807
"Cedric Ceballos"	0.117801
"Wally Szczerbiak"	0.116705
"Grant Long"	0.116528
"Shawn Marion"	0.116171
"Eddie House"	0.116124
"Jason Terry"	0.115521
"Khalid El-Amin"	0.115065
"Keith Van Horn"	0.11413
"JaRon Rush"	0.113475
"Stern John"	0.113262
"Chris Porter"	0.113257
"Jeff Trepagnier"	0.112443
"Alexei Kovalev"	0.112088
"Michael Redd"	0.11053
"Ante Razov"	0.109727
"Morris Peterson"	0.109373
"Andre Miller"	0.108528
"Corliss Williamson"	0.107646
"Raef LaFrentz"	0.105655
"Jerome Kersey"	0.104209
"Jake Voskuhl"	0.103071
"Paul Pierce"	0.10292
"Lamond Murray"	0.102433
"Courtney Alexander"	0.102414
"Kenny Thomas"	0.102235
"Christian Laettner"	0.10154
"Jason Kapono"	0.101235
"Alan Henderson"	0.100562
"Mike Sullivan"	0.100077
"Darren McCarty"	0.0998113
"Juwan Howard"	0.0996796
"Derrick Coleman"	0.0993602
"Brian McBride"	0.0992854
"Rick Tocchet"	0.098611
"Bill Guerin"	0.0982708
"Sheryl Swoopes"	0.0981335
"Walt Williams"	0.0980669
"Dale Ellis"	0.0979433
"Brendan Shanahan"	0.0979054
"Chris Mills"	0.0959291
"Todd MacCulloch"	0.0954057
"Othella Harrington"	0.0946893
"Milan Hejduk"	0.094618
"P.J Brown"	0.0939715
"Rodney Rogers"	0.0938741
"Jamal Mashburn"	0.0932476
"Doug Christie"	0.0924637
"Chris Crawford"	0.092199
"Sam Clancy"	0.0915915
"Glenn Robinson"	0.0915738
"Jason Williams"	0.0910136
"Sun Wen"	0.0909157
"Jeff Friesen"	0.0905614
"Malik Sealy"	0.0905107
"Rick Fox"	0.0900318
"Tyrone Nesby"	0.089912
"Maurice Taylor"	0.0898478
"Dixon Ward"	0.0897886
"Shandon Anderson"	0.0896559
"Predrag Mijatovic"	0.0889094
"Chris Gatling"	0.0887906
"Kurt Thomas"	0.0885931
"Tim Thomas"	0.088477
"George McCloud"	0.0882599
"Clarence Weatherspoon"	0.0882063
"Geoff Sanderson"	0.0875109
"Brad Miller"	0.0865012
"J.R Reid"	0.0858668
"Gary Trent"	0.0852177
"Nick Anderson"	0.0850665
"Bryon Russell"	0.0850371
"Rasheed Wallace"	0.0847246
"Shane Doan"	0.0845295
"Jerome Moiso"	0.0844969
"David Wesley"	0.0842906
"Eric Snow"	0.0842818
"Brian Grant"	0.083863
"Austin Croshere"	0.0836727
Langdon	0.0835499
"Shareef Abdur-Rahim"	0.0834355
"Jalen Rose"	0.0833841
"Shannon MacMillan"	0.0833534
"Raul Gonzalez"	0.0824923
"Tiffeny Milbrett"	0.0823886
"Theo Fleury"	0.0822305
"Samaki Walker"	0.081817
"Steve Francis"	0.0815592
"Lamar Odom"	0.0815215
"Billy Owens"	0.0813719
"Dale Davis"	0.0813473
"Blake Sloan"	0.0809439
"Tracy McGrady"	0.0809003
"Horace Grant"	0.0807893
"Matt Harpring"	0.0804386
"Brian Skinner"	0.0801725
"Mike Dunleavy"	0.0796629
"Danny Manning"	0.0794762
"Chamique Holdsclaw"	0.0785912
"Thierry Henry"	0.0777816
"Matt Barnes"	0.0773806
"Pat Garrity"	0.0767998
"Detlef Schrempf"	0.076666
"Theo Ratliff"	0.0766381
"Adam Deadmarsh"	0.0763893
"Jumaine Jones"	0.0760954
"Gary Roberts"	0.0758208
"Roy Lassiter"	0.0756278
"Dave Andreychuk"	0.0753469
"Donyell Marshall"	0.075306
"Dennis Scott"	0.0749636
"Ryan Bailey"	0.0746373
"LaPhonso Ellis"	0.0746013
"Keith Tkachuk"	0.0744948
"SCOTT BURRELL"	0.0740053
"Rashard Lewis"	0.0736966
"Danny Fortson"	0.073686
"Anthony Mason"	0.0736816
"Mario Elie"	0.0736427
"Antawn Jamison"	0.0733199
"Grant Marshall"	0.0732442
"Ron Mercer"	0.0732151
"Eric Piatkowski"	0.0730581
"Sean Elliott"	0.0728852
"Wendel Clark"	0.0726844
"Mark Bryant"	0.0725992
"Billy Knight"	0.0724782
"Patrik Elias"	0.0722088
"Shawn Kemp"	0.0721487
"Robert Traylor"	0.07213
"Shammond Williams"	0.0720677
"Anson Carter"	0.0720007
"DeLisha Milton"	0.0718103
"Harry Kewell"	0.0715892
"Matthew Barnaby"	0.0715623
"Joe Sakic"	0.0714063
"Tariq Abdul-Wahad"	0.0713634
"Antonio Davis"	0.0712092
"Grant Hill"	0.0704295
"Scoonie Penn"	0.0701183
"Glen Rice"	0.0700552
"John LeClair"	0.0697565
"Chris Drury"	0.0697457
"Christophe Dugarry"	0.0696224
"Miroslav Satan"	0.0694816
"Adrian Ilie"	0.069116
"Pavol Demitra"	0.0690915
"Doug Johnson"	0.0690087
"Brad Isbister"	0.0688808
"Joe Smith"	0.0688641
"Ivan Zamorano"	0.0686108
"Jeremy Roenick"	0.0684924
"Mike Keane"	0.0683302
"Vin Baker"	0.0683094
"Jerry Stackhouse"	0.0683069
"Jaren Jackson"	0.0679817
"Steve Heinze"	0.0679621
"Owen Nolan"	0.0678683
"Hao Haidong"	0.0677927
"Darrick Martin"	0.0672231
"Landon Wilson"	0.0670521
"Alen Boksic"	0.0669199
"Vince Carter"	0.0668006
"Joe Juneau"	0.0666187
"Olli Jokinen"	0.0665732
"Carlos Hermosillo"	0.0665184
"Robert Horry"	0.0664264
"Chris Webber"	0.0664224
"Clifford Robinson"	0.0661552
"A.C. Green"	0.0661329
))
("Chris Carter" (desc 4710.73) (sims
"David E. Kelley"	0.190488
"Steven Bochco"	0.190332
"Aaron Sorkin"	0.167134
"Matt Groening"	0.148225
"Tebucky Jones"	0.14768
"John Wells"	0.136965
"Larry Whigham"	0.132653
"David Duchovny"	0.130877
"Kevin Williamson"	0.125625
"Stan Lee"	0.120738
"CHARLES SCHULZ"	0.110959
"Chris Canty"	0.108148
"Trey Parker"	0.10683
"Norman Lear"	0.099801
"Willie Clay"	0.0967218
"Tony George"	0.094839
"Cris Carter"	0.0944808
"Jake Reed"	0.090757
"Linus Torvalds"	0.0902939
"George Lucas"	0.0861333
"Ty Law"	0.0861331
"Tony Carter"	0.0839955
"Steve Israel"	0.0800894
"Robert Edwards"	0.0746638
"Brandon Mitchell"	0.0727963
"Tedy Bruschi"	0.0722524
"Jeff George"	0.06963
"Randall Cunningham"	0.0696002
"George Teague"	0.0689524
"Kevin Williams"	0.0647543
"Jim Henson"	0.0628494
"Kevin Faulk"	0.0614972
"Shawn Jefferson"	0.0606792
Kelley	0.0604683
"James Gandolfini"	0.0600146
"J.K Rowling"	0.0599872
"Troy Brown"	0.0591951
"Mike Van Raaphorst"	0.0568142
"Larry Atkins"	0.0558239
"Don Hewitt"	0.0558097
"Vincent Brisby"	0.0550173
"Steve Atwater"	0.0541133
"Terry Glenn"	0.0540853
Schulz	0.0536341
"Tony Simmons"	0.0521517
"Ronnie Bradford"	0.0512847
"Heath Irwin"	0.050342
"Chris Slade"	0.0490176
"Bruce Armstrong"	0.0489183
"William White"	0.0485275
Bochco	0.0483455
"Glenn Foley"	0.0483355
"Brian Griese"	0.0482514
"Kevin Mathis"	0.0477671
"Gillian Anderson"	0.0475839
"Michael Crichton"	0.0472138
"Robert Smith"	0.0471028
"Otis Smith"	0.0462514
"Tom Tupa"	0.0462027
"Marcus Outzen"	0.0457406
"Scott Zolak"	0.0447422
"Eugene Robinson"	0.0443201
"Rob Thomas"	0.044309
"Fred Taylor"	0.0436836
"Charlie Williams"	0.0431193
"Chris Weinke"	0.0430729
Sorkin	0.041622
"Brad Johnson"	0.0415375
"Jason Garrett"	0.0414567
"Jeff Blake"	0.0413666
"Willie McGinest"	0.0409464
"Michael Bishop"	0.0408474
"Al Franken"	0.0404008
"Jim Harbaugh"	0.040334
Vasser	0.040333
))
("Chris Chandler" (desc 7680.85) (sims
"Vinny Testaverde"	0.224544
"Troy Aikman"	0.209135
"Jeff George"	0.197027
"Brad Johnson"	0.192331
"Steve Young"	0.188942
"Randall Cunningham"	0.187207
"Dan Marino"	0.183396
"Ty Detmer"	0.17522
"Rob Johnson"	0.172691
"Drew Bledsoe"	0.171507
"Steve DeBerg"	0.167977
"Brett Favre"	0.161483
"Todd Husak"	0.15917
"Mark Brunell"	0.15733
"Trent Green"	0.157067
"Rich Gannon"	0.155896
"Bubby Brister"	0.155279
"Doug Pederson"	0.154126
"Erik Kramer"	0.153331
"Chris Weinke"	0.147243
Chandler	0.146534
"Doug Flutie"	0.14549
"Jake Plummer"	0.142263
"John Elway"	0.139234
"Brian Griese"	0.139052
"Steve McNair"	0.139047
"Ryan Kealy"	0.138596
"Tony Banks"	0.138134
"Bobby Newcombe"	0.133919
"Peyton Manning"	0.131324
"Danny Kanell"	0.130319
"Kurt Warner"	0.129769
"Glenn Foley"	0.12856
Brunell	0.128453
"Terance Mathis"	0.126957
Aikman	0.126098
"Warren Moon"	0.125325
"Tony Graziani"	0.123731
"Eugene Robinson"	0.123523
Testaverde	0.122486
"Ray Buchanan"	0.121598
"Trent Dilfer"	0.120957
"Ray Lucas"	0.120526
"Kent Graham"	0.120359
"Jeff Garcia"	0.120199
"Dave Brown"	0.119476
"Charlie Batch"	0.118378
Applewhite	0.118118
"Joe Montana"	0.118008
"Jamal Anderson"	0.116865
"Jessie Tuggle"	0.116737
"Terrell Davis"	0.116564
Plummer	0.116348
"Marcus Outzen"	0.11597
Favre	0.113906
Brees	0.111744
Weinke	0.110769
Grbac	0.110486
"Kerry Collins"	0.110284
"Tee Martin"	0.109828
Hasselbeck	0.109476
"Neil O'Donnell"	0.108273
"Van Raaphorst"	0.108149
"Jon Kitna"	0.10784
"Emmitt Smith"	0.107491
"Jim Harbaugh"	0.107212
Kitna	0.107179
"Shane Dronett"	0.105829
Bledsoe	0.105722
"Cade McNown"	0.105405
"Kordell Stewart"	0.104998
"Tony Martin"	0.104949
"Elvis Grbac"	0.10483
"Chuck Smith"	0.102573
"Damon Huard"	0.102388
"Tim Couch"	0.101657
"Jarious Jackson"	0.101158
"Carson Palmer"	0.100789
"Bob Whitfield"	0.100193
"Ryan Leaf"	0.0993115
Griese	0.0992432
Kanell	0.0989363
Elway	0.0980555
"Cornelius Bennett"	0.0970508
"Jeff Blake"	0.0964969
DeBerg	0.0961458
"Travis Hall"	0.0954641
"Quincy Carter"	0.0952222
"Shaun King"	0.0945158
"Doug Johnson"	0.0945013
"Lester Archambeau"	0.0939631
Huard	0.0933899
"John Fox"	0.0932643
"Gus Frerotte"	0.0931746
"Jim Kelly"	0.0919301
"Steve Beuerlein"	0.0918358
"Akili Smith"	0.0916173
Marino	0.0916088
"Morten Andersen"	0.0905066
"O.J Santiago"	0.0905009
Kealy	0.0903959
"Michael Irvin"	0.0901615
"Fred Taylor"	0.0900071
"Rich Brooks"	0.0899902
"Drew Bennett"	0.0898761
Pederson	0.0895252
"Everett McIver"	0.0891561
McCown	0.0875083
Dilfer	0.0863587
"Terry Glenn"	0.0859617
"Mike Van Raaphorst"	0.084704
"Major Applewhite"	0.0841893
"Rodney Peete"	0.0838811
"Ronnie Bradford"	0.083872
"Bobby Hoying"	0.0837979
"Garrison Hearst"	0.0836489
"Ryan McCann"	0.0834308
Manning	0.0832912
"Joe Hamilton"	0.0826986
McNown	0.0825845
"Michael Bishop"	0.081517
"Cris Carter"	0.0812887
"Chris Calloway"	0.0808978
"Cory Paus"	0.0805588
mini-camp	0.0795335
"John Smoltz"	0.0791646
"Dan Reeves"	0.0782091
"Reggie White"	0.0779899
"Brock Huard"	0.0779836
McNair	0.0776878
Cunningham	0.0772797
Harbaugh	0.0771736
"Henri Crockett"	0.0769669
"David LaFleur"	0.0769284
"Michael Vick"	0.0763805
Zolak	0.0762199
"Deion Sanders"	0.076063
Mirer	0.0752333
Flutie	0.0744153
"Rick Mirer"	0.0742695
"Scott Zolak"	0.0741592
"Donovan McNabb"	0.0741485
"June Jones"	0.0739772
"Daunte Culpepper"	0.0737286
"Gene Williams"	0.07354
"Stephane Fiset"	0.0735183
"Danny Wuerffel"	0.0733016
Graziani	0.072845
"Phil Simms"	0.0719584
Paus	0.0717454
"Leon Lett"	0.0716358
"Drew Henson"	0.0715691
Druckenmiller	0.0713514
"Karim Abdul-Jabbar"	0.0704104
Cleaves	0.0703771
"Angelo Peruzzi"	0.0703124
"Carl Pickens"	0.0699696
"Joey Galloway"	0.0693461
"Andres Galarraga"	0.0692303
"Yancey Thigpen"	0.0691024
Garrett	0.068823
Outzen	0.0687171
"Bret Saberhagen"	0.0684822
Brady	0.0678643
"Jack McDowell"	0.0677158
"Chris Osgood"	0.0674276
"Scott Mitchell"	0.0674213
Foley	0.0671433
"Kevin Smith"	0.0670164
Brister	0.0669671
Mathis	0.0667383
"Charlie Ward"	0.0662508
"Erik Williams"	0.0653037
Fiset	0.0652887
"Jason Garrett"	0.0650391
"Patrick Ewing"	0.0647204
McNabb	0.0646589
Vick	0.0645184
"Jim Druckenmiller"	0.0644888
"Aeneas Williams"	0.0644622
"Keith Brooking"	0.0644618
Tupa	0.0642819
"Byron Hanspard"	0.0641163
"Danny Farmer"	0.0638985
"Gary Brown"	0.0636969
"Mike Burns"	0.0635421
"Jerry Rice"	0.0630861
Detmer	0.062966
"Chris Simms"	0.0622493
"Kobe Bryant"	0.0620461
"Shannon Sharpe"	0.0619487
"Jimmy Smith"	0.0618116
"Ed McCaffrey"	0.0611439
"Drew Brees"	0.0611359
Hasek	0.0609518
"Chad Pennington"	0.0606773
"Terry Bradshaw"	0.0605133
Swann	0.0604496
Storr	0.0603333
"Kevin Hartman"	0.060207
))
("Chris Chelios" (desc 2303.78) (sims
"Nicklas Lidstrom"	0.263365
"Ulf Samuelsson"	0.254219
"Dave Manson"	0.218179
"Wendel Clark"	0.208412
"Sergei Fedorov"	0.188867
Chelios	0.177184
"Mattias Norstrom"	0.170042
"Larry Murphy"	0.163029
"Tony Amonte"	0.159531
"Steve Duchesne"	0.152163
"Lyle Odelein"	0.151123
"Brendan Shanahan"	0.147973
"Doug Gilmour"	0.147586
"Paul Coffey"	0.141507
"Brian Leetch"	0.141081
"Steve Yzerman"	0.132632
"Chris Pronger"	0.130576
"Scott Niedermayer"	0.130105
"Al MacInnis"	0.125206
"Igor Larionov"	0.124421
"Ray Bourque"	0.123066
"Vladimir Malakhov"	0.121446
"Oleg Tverdovsky"	0.114997
"Fredrik Olausson"	0.111786
"Don Sweeney"	0.110911
"Darren McCarty"	0.109571
"Jocelyn Thibault"	0.107563
Samuelsson	0.107169
"Doug Bodger"	0.107028
"Chris Osgood"	0.106224
"Rob Blake"	0.105725
"Darryl Sydor"	0.105483
"Mathieu Schneider"	0.101087
"Adam Oates"	0.101077
"Scott Stevens"	0.100693
"Richard Matvichuk"	0.0987534
"Aki Berg"	0.0986747
"Teemu Selanne"	0.0978256
"Bill Ranford"	0.0977846
"Sandis Ozolinsh"	0.0968461
"Sergei Zubov"	0.0965427
"Teppo Numminen"	0.0957779
"Alexei Zhitnik"	0.0957128
"Kyle McLaren"	0.0949199
"Marty McSorley"	0.0946488
"Kevin Stevens"	0.0942769
"Craig Ludwig"	0.0921711
Yzerman	0.0914178
"Ken Daneyko"	0.0893942
"Shawn Chambers"	0.0888256
Fedorov	0.0869711
"Sean O'Donnell"	0.0867706
"Jyrki Lumme"	0.0848101
"Dale Hunter"	0.0813356
"Darren Van Impe"	0.0799078
"Garry Galley"	0.0794175
Leetch	0.0790292
Ranford	0.0767605
"Bryan Berard"	0.0749318
"Derian Hatcher"	0.07297
"Adam Graves"	0.0716354
"Scott Mitchell"	0.068459
"Doug Weight"	0.0654824
"Benoit Hogue"	0.0633119
"Nick Anderson"	0.0616085
Daigle	0.0614634
"Joe Juneau"	0.0608411
Recchi	0.0607543
"Bill Guerin"	0.0582936
"Donald Audette"	0.058096
"Peter Bondra"	0.0580901
"Peter Forsberg"	0.0575573
"Manny Fernandez"	0.057213
"Mike Vernon"	0.0560642
"Geoff Sanderson"	0.0553083
"Steve Smith"	0.0552936
"Rich Becker"	0.0549152
"Hao Haidong"	0.0548547
"Ron Francis"	0.0546031
"Tony Hrkac"	0.054567
"Theo Fleury"	0.054496
"Joe Sakic"	0.0539718
Neely	0.0535711
"Ziggy Palffy"	0.053523
"Ante Razov"	0.0523236
Fleury	0.0522787
Tverdovsky	0.052031
defenseman	0.0519914
"Carlos Valderrama"	0.0519389
"Eric Wynalda"	0.0518527
"Ray Ferraro"	0.0516731
Sundin	0.0514602
"Paul Konerko"	0.0511836
Bourque	0.0508058
"Luc Longley"	0.0507571
"Toni Kukoc"	0.0505519
"Steve Heinze"	0.0496104
"Felix Potvin"	0.0493254
"Mobil Corp."	0.0491212
"Keith Tkachuk"	0.0490306
"Kirk Muller"	0.0488759
"Othella Harrington"	0.0488432
Kariya	0.0485827
"Luc Robitaille"	0.0485061
"Mark Recchi"	0.0480872
Selanne	0.0480678
"Dallas Drake"	0.0480416
Sakic	0.0479367
"Rick Tocchet"	0.0479205
Wynalda	0.0474437
Heinze	0.0473854
Espinosa	0.0473691
"Jamie Langenbrunner"	0.0473549
"Raul Diaz Arce"	0.0472053
"Juergen Klinsmann"	0.047195
Naumann	0.0469394
"Luis Hernandez"	0.0467596
McDyess	0.0467047
"Chris Drury"	0.0464204
alderman	0.0463739
GPU	0.0463518
"Gary Roberts"	0.0462645
"Jorge Campos"	0.0461708
"Vitaly Potapenko"	0.0461279
"Mark Messier"	0.0456977
"Donyell Marshall"	0.0456324
Barrasso	0.0454579
"Keith Primeau"	0.0453016
Bergkamp	0.0452447
"Rick Aguilera"	0.0452396
"Eric Lindros"	0.0451947
"Alexander Mogilny"	0.0448959
"Scott Thornton"	0.0447157
"Zach Thornton"	0.0446937
"Brian Moehler"	0.0445691
"Dave Reid"	0.0444928
"Yanic Perreault"	0.0442019
Ceballos	0.0441791
"Charlie Batch"	0.044175
Messier	0.0440593
"Vladimir Tsyplakov"	0.0439064
"Dmitri Khristich"	0.0438991
Hejduk	0.0438747
"Fred Meyer"	0.0438087
Gilmour	0.0437532
Laettner	0.0437334
"Gregg Jefferies"	0.0435574
Palffy	0.0435486
"Pat Verbeek"	0.0433549
"Curtis Joseph"	0.0433512
"Olaf Kolzig"	0.0431962
"Robert Jarni"	0.0431234
"Steve Rucchin"	0.0430045
"Mickey Morandini"	0.0429369
"Mauricio Ramos"	0.0428588
"Jeff Weaver"	0.0426669
Lehtinen	0.0424319
"Lance Johnson"	0.0423759
Roenick	0.0422773
"Petr Sykora"	0.0422339
"Jere Lehtinen"	0.042173
"Paul Kariya"	0.0421029
"Dave Andreychuk"	0.0420629
"Ariel Ortega"	0.0419851
"Karim Abdul-Jabbar"	0.0419772
Hoch	0.0419589
"Bobby Orr"	0.0417382
Artest	0.0416542
"Erik Kramer"	0.0416483
"Gus Frerotte"	0.0415829
HBOC	0.0411501
McGrady	0.0407662
"two pitchers"	0.0407305
"Juan Gonzalez"	0.0406897
"Kristine Lilly"	0.0406663
"America West Airlines"	0.0406395
"John Burkett"	0.0405961
"Terrell Brandon"	0.0405693
"John Vanbiesbrouck"	0.0404804
PRONGER	0.0404104
"Steve Fossett"	0.040408
Lacroix	0.0400064
))
("Chris Childs" (desc 5821.06) (sims
"Charlie Ward"	0.302776
"Marcus Camby"	0.294698
"Allan Houston"	0.291416
"Larry Johnson"	0.288612
"Kurt Thomas"	0.281092
"Chris Dudley"	0.262706
"Latrell Sprewell"	0.238523
"Herb Williams"	0.236661
Childs	0.206675
"John Starks"	0.182162
"Patrick Ewing"	0.167209
"Terry Cummings"	0.161934
Sprewell	0.15573
"John Wallace"	0.155485
"Chris Mills"	0.151331
Camby	0.14925
"Dennis Scott"	0.144812
"Tim Hardaway"	0.142166
Ewing	0.13306
"Derek Fisher"	0.132566
"Sherman Douglas"	0.114005
"Ron Harper"	0.113668
"Alonzo Mourning"	0.110658
"Eric Murdock"	0.10642
"Rick Fox"	0.105532
Starks	0.104593
"Reggie Miller"	0.104503
"Derek Harper"	0.102466
"Charles Oakley"	0.10129
"David Wesley"	0.0997784
"Jeff Van Gundy"	0.0986679
"Darrick Martin"	0.0979163
"Eric Snow"	0.0960289
"Ryan Bailey"	0.0955814
"Mark Jackson"	0.0944632
"Sam Cassell"	0.094352
"Greg Anthony"	0.094245
El-Amin	0.0940516
Dudley	0.0940204
"Erick Barkley"	0.0939891
"Jaren Jackson"	0.0934074
"Bob Sura"	0.0923651
"Jason Williams"	0.0921988
"Allen Iverson"	0.0915805
"Bimbo Coles"	0.0915523
"Isaiah Rider"	0.0896186
"Khalid El-Amin"	0.0894426
"Brandon Granville"	0.0884835
"Nick Anderson"	0.0875892
"Matt Santangelo"	0.0868704
"Teresa Weatherspoon"	0.0867622
"Avery Johnson"	0.0864987
"Damon Stoudamire"	0.0859577
"Gary Payton"	0.0855526
"Brian Shaw"	0.0854824
"Travis Best"	0.0849233
"Michele Timms"	0.0846436
"Bonzi Wells"	0.0845038
"Mitch Richmond"	0.0844738
"Kenny Anderson"	0.0835013
Kittles	0.0833381
"Larry Hughes"	0.0833063
"Kerry Kittles"	0.0827921
"Kendall Gill"	0.0823506
"Stephon Marbury"	0.0805522
"Kim Perrot"	0.0798141
"Terry Porter"	0.0795926
"Derrick Coleman"	0.0795472
MARBURY	0.0794064
"Ray Allen"	0.0790879
"Glen Rice"	0.0782574
"Christian Laettner"	0.0778813
"Clarence Weatherspoon"	0.0773256
"Scoonie Penn"	0.077109
"Baron Davis"	0.076634
Iverson	0.0766105
"Travis Knight"	0.0763177
"Shammond Williams"	0.0759469
"Shawn Kemp"	0.0758881
"Dan Majerle"	0.0758504
"Cedric Ceballos"	0.0753241
"Jalen Rose"	0.0749498
"John Stockton"	0.0748113
"Terrell Brandon"	0.074439
"Mateen Cleaves"	0.0744355
"Brian Grant"	0.0743928
"Mario Elie"	0.0741592
"Nick Van Exel"	0.0738922
"Kobe Bryant"	0.0738455
"B.J Armstrong"	0.0727465
"Mike Bibby"	0.0721986
Cleaves	0.0721039
"Steve Nash"	0.0720085
"Tariq Abdul-Wahad"	0.071935
Mihm	0.0718108
"Van Exel"	0.0716188
"Howard Eisley"	0.0713095
Oakley	0.0713037
"Steve Smith"	0.0712321
"P.J Brown"	0.0710073
"Eddie Jones"	0.0709953
"Jamal Mashburn"	0.0706587
"Jason Kidd"	0.0699346
"Steve Kerr"	0.069819
"Robert Pack"	0.0697253
"Randy Brown"	0.0693398
"Anthony Mason"	0.0688902
"Nikki McCray"	0.0688673
"Brevin Knight"	0.0687513
"Andre Miller"	0.0685539
Smits	0.068527
"Michael Redd"	0.0678161
"Tony Hutson"	0.0677348
ward	0.0673541
"Earl Watson"	0.067301
"Otis Thorpe"	0.0660241
"Keith Van Horn"	0.0658842
"Vin Baker"	0.0658103
"Antonio Davis"	0.0657055
"Cynthia Cooper"	0.0656672
"Rod Strickland"	0.0653787
"Anthony Johnson"	0.0651698
"A.C. Green"	0.0649864
"William Avery"	0.0641709
"Gene Williams"	0.0640188
"Antawn Jamison"	0.0638003
"Darrell Armstrong"	0.0636004
"Scottie Pippen"	0.0635848
"Derek Anderson"	0.0634854
"Jeff Hornacek"	0.0628389
"Ricky Moore"	0.0628283
"Bruce Bowen"	0.0628059
"Penny Hardaway"	0.062663
Mashburn	0.0622234
"Hersey Hawkins"	0.0622108
"Jason Terry"	0.0620549
Hardaway	0.0610471
Gadzuric	0.0609601
"Ron Mercer"	0.0608411
Stackhouse	0.0608366
"Dawn Staley"	0.0605103
Bryant	0.0604988
"Chris Mullin"	0.0603892
"Shaquille O'Neal"	0.0602845
"Bruce Matthews"	0.060155
"Chauncey Billups"	0.0601252
"Voshon Lenard"	0.0594921
Shaq	0.0593983
"Grant Hill"	0.0593789
"Tom Gugliotta"	0.0589053
"Bobby Phills"	0.0588884
"Billy Knight"	0.0588555
"Anfernee Hardaway"	0.0586964
"Mookie Blaylock"	0.0584728
"Austin Croshere"	0.0584724
"Shannon MacMillan"	0.0584054
"Toni Kukoc"	0.0582448
"Chris Warren"	0.0577659
"Brent Barry"	0.0576389
"Cuttino Mobley"	0.0575965
Cota	0.0574998
"Ken Kocher"	0.0574905
"Hubert Davis"	0.0574364
"Ray Young"	0.0573975
"John Salley"	0.0569817
"Robert Horry"	0.0569463
"Everett McIver"	0.0567883
"Michael Finley"	0.0566809
Kukoc	0.0564653
"Tony Massenburg"	0.0564121
"Jerry Stackhouse"	0.0563495
"Tyronn Lue"	0.0560693
Sasser	0.0560114
"CORIE BLOUNT"	0.0558605
"Sam Mack"	0.0558221
"Nate Newton"	0.0557263
"Dale Ellis"	0.0554588
"Jimmy Oliver"	0.0552866
"Brent Price"	0.0552231
Croshere	0.0552021
"Grant Long"	0.05494
"Paul Pierce"	0.0548602
"Brad Miller"	0.0547887
"Jim Jackson"	0.0547738
"Antoine Walker"	0.0546093
"Bryce Drew"	0.054537
O'Neal	0.0543622
"Wayne Turner"	0.054272
"Jayson Williams"	0.0539353
Skiles	0.0539295
"Kevin Mathis"	0.053854
"Eddie House"	0.0537561
"Trajan Langdon"	0.0536686
"Kris Clack"	0.0535449
"Tom Lampkin"	0.0534028
"Heath Irwin"	0.0532926
"Doug Christie"	0.0530815
"Van Gundy"	0.0529553
"Ray Lucas"	0.052906
"Dale Davis"	0.0524018
))
("Chris Claiborne" (desc 2170.54) (sims
"Andy Katzenmoyer"	0.217197
"Dat Nguyen"	0.192178
"LaVar Arrington"	0.17867
"Keith Brooking"	0.170452
"Damien Woody"	0.16909
"Chad Morton"	0.155328
"Derrick Thomas"	0.14611
"JEVON KEARSE"	0.142463
"David Boston"	0.14009
"Zach Thomas"	0.136334
"R. Jay Soward"	0.135684
"Windrell Hayes"	0.131993
"Curtis Enis"	0.129173
"Andre Wadsworth"	0.127627
"Jessie Armstead"	0.119499
"Bryan Cox"	0.118226
"Devean George"	0.117773
"Leon Smith"	0.115992
"John Avery"	0.114621
"Greg Ellis"	0.114596
"Shawn Marion"	0.11385
"Jessie Tuggle"	0.112623
"Carson Palmer"	0.109751
"Brian Scalabrine"	0.109309
"Sebastian Janikowski"	0.108839
"Thomas Jones"	0.106926
"Tedy Bruschi"	0.104885
"Randall Godfrey"	0.102114
"John Tait"	0.101666
"L.J Shelton"	0.101302
"Edgerrin James"	0.0985996
"Ryan Nece"	0.0977339
"Henri Crockett"	0.0976066
"Chad Pennington"	0.0968838
"Ted Johnson"	0.0966389
"Mike Van Raaphorst"	0.0962122
"Mike Jones"	0.0961656
"Bill Romanowski"	0.0959928
"Larry Atkins"	0.0959211
"Tebucky Jones"	0.0956521
"Mark Madsen"	0.0948958
"Jarvis Turner"	0.094615
"Charlie Batch"	0.0940265
"Cornelius Bennett"	0.0938401
Diggs	0.0925711
Hakim	0.091842
"Champ Bailey"	0.0917743
"Ebenezer Ekuban"	0.0901346
"Patrik Stefan"	0.0900118
"Dwayne Goodrich"	0.089966
"Quentin Coryatt"	0.0892713
"Jeff Weaver"	0.0890316
"Jeff Trepagnier"	0.0885676
"Dexter Coakley"	0.0883452
"Raef LaFrentz"	0.0871387
"Peter Warrick"	0.0865224
"Simeon Rice"	0.0863161
"Michael Booker"	0.0840349
"Tony White"	0.0833263
"Ray Lewis"	0.0824863
"Trung Canidate"	0.0814582
"Cade McNown"	0.0807452
"J.D Drew"	0.0805597
"Darius Miles"	0.0801671
"Lawrence Taylor"	0.0799684
"Al Harrington"	0.0797983
"Darrin Smith"	0.0797945
"Robert Edwards"	0.0789199
"Robert Thomas"	0.0787945
"Michael Wiley"	0.0781241
"Jamal Lewis"	0.077914
"Brandon Granville"	0.0773075
"Jamir Miller"	0.0773055
"Solomon Page"	0.0762532
"Chad Brown"	0.0760261
"Paul Pierce"	0.0754786
"Jumaine Jones"	0.0754372
Katzenmoyer	0.0747956
"Flozell Adams"	0.0735468
"Pat Burrell"	0.0735143
"Wally Szczerbiak"	0.0730769
"Etan Thomas"	0.0727105
"Kevin Faulk"	0.0723104
"Kris Farris"	0.0717475
"Chris Canty"	0.0715438
"Danny Farmer"	0.0711635
"Norm Maracle"	0.0707234
"Donovan McNabb"	0.0704958
"John Fox"	0.0693287
Romanowski	0.0690432
"Andre Miller"	0.0689308
"Mo Lewis"	0.068896
"Toby Bailey"	0.0681231
"Todd Collins"	0.0679118
"Chamique Holdsclaw"	0.0666622
"Mateen Cleaves"	0.0659457
"Pepper Johnson"	0.0658868
Stepanova	0.0654776
"Steve Francis"	0.0653861
Godfrey	0.0653545
"Pat Garrity"	0.0651961
"Richard Hamilton"	0.0650331
"J.R Redmond"	0.0650107
Spielman	0.0648662
"Jason Fabini"	0.0645909
"Mike Brown"	0.0642021
Arrington	0.0638577
"John Lynch"	0.0635037
"Michael Olowokandi"	0.0634725
"Akili Smith"	0.0632322
Braswell	0.0628074
Finkel	0.0620933
"Wane McGarity"	0.0619853
"Dirk Nowitzki"	0.0617644
"Juan Montoya"	0.0608012
Tuggle	0.0607775
"Kareem Kelly"	0.0604921
Beazley	0.0604257
"Michael Myers"	0.0602714
Solis	0.0600746
"Ricky Williams"	0.0599488
Rodionov	0.0596323
"Seth Etherton"	0.0596194
"Chris McAlister"	0.0594032
"Chris Slade"	0.0590859
"Tee Martin"	0.0590589
"Quincy Carter"	0.0588248
"Ephraim Salaam"	0.0587583
Jauron	0.0587188
"Eddie House"	0.0586936
"Tom Brady"	0.0586739
"Dez White"	0.0580243
Nguyen	0.0578288
"Brenden Morrow"	0.0576393
"Kenny Thomas"	0.0575253
"Skip Hicks"	0.0573918
Milbury	0.0572194
"Jonathan Bender"	0.0572002
"Cecil Collins"	0.0569589
"Tyronn Lue"	0.0569077
Sato	0.0567969
Sapp	0.0566941
"Elton Brand"	0.0561695
Alarcon	0.0557287
"Tim Couch"	0.0555399
Soyinka	0.0554718
Tanui	0.055189
Rongen	0.0547111
"Bonzi Wells"	0.0545389
Traylor	0.0545369
"Tony Simmons"	0.0544839
"Shammond Williams"	0.0544752
Dunleavy	0.0543333
"Sultan McCullough"	0.0543258
"Sam Clancy"	0.0540617
Geiger	0.054057
Farris	0.0540451
"Earl Watson"	0.054037
"Dario Franchitti"	0.0539211
"Arie Luyendyk"	0.0533769
"Doug Johnson"	0.053192
"Matt Kuchar"	0.0531716
"Antawn Jamison"	0.0529267
Eizenstat	0.052783
Zanardi	0.052547
capella	0.0524828
"Adrian Fernandez"	0.0523663
Stoneman	0.0522678
"Jason Terry"	0.0517257
Ruggiero	0.0515852
Maggette	0.0512416
"Jeff Zimmerman"	0.0512182
"Daunte Culpepper"	0.0508881
"Todd Husak"	0.0507516
Calvary	0.0506755
"Baron Davis"	0.0506132
Sherrill	0.0505414
"Ron Dayne"	0.0505383
Najera	0.0504478
"Peerless Price"	0.0503248
Sykes	0.050193
"Tim Dwight"	0.0501532
Buzek	0.0500841
"Chris Porter"	0.0500643
White-McCarty	0.0498524
Rutledge	0.0497828
Harmoko	0.0497532
Romar	0.0497306
Woodard	0.0495442
"Chris Carrawell"	0.0495431
"Mike Bibby"	0.0495212
Barad	0.0494202
Reimer	0.0492996
Foyt	0.0491839
"Tamika Catchings"	0.0490772
"Jim Druckenmiller"	0.0490763
"Drew Bennett"	0.0489941
"Alex Zanardi"	0.0489889
"Torry Holt"	0.048946
ISSEL	0.0489299
))
("Chris Cooper" (desc 2128.28) (sims
"Robert Downey Jr."	0.0733324
"Stockard Channing"	0.0726788
"Donald Sutherland"	0.067603
"Aidan Quinn"	0.0668055
Bostonian	0.0585385
"John Goodman"	0.0534434
"Farrah Fawcett"	0.0521231
"Sally Field"	0.0519391
"Danny Glover"	0.0506558
"Carol Burnett"	0.0482482
Musa	0.0479338
"music teacher"	0.0475757
"Freddie Prinze Jr."	0.0473731
"James Coburn"	0.0454049
"traveling salesman"	0.0453466
"Rob Lowe"	0.0446504
"Jane Fonda"	0.0426855
"Ben Affleck"	0.042197
"Camryn Manheim"	0.0415995
Cpl	0.0400342
))
("Chris Crawford" (desc 1467.66) (sims
"Alan Henderson"	0.279738
"Grant Long"	0.266189
"Scot Pollard"	0.234679
"Anthony Johnson"	0.216273
"Lorenzen Wright"	0.198858
"LaPhonso Ellis"	0.180614
"Matt Harpring"	0.175502
"Rashard Lewis"	0.151445
"Jim Jackson"	0.15134
"Ed Gray"	0.147259
"Jarvis Turner"	0.146595
"Corliss Williamson"	0.141121
"Maurice Taylor"	0.139144
"Christian Laettner"	0.138851
"Dikembe Mutombo"	0.138845
"Alexei Kovalev"	0.130271
"Theo Ratliff"	0.129309
"Detlef Schrempf"	0.128056
"Tyrone Nesby"	0.12796
"Walt Williams"	0.127763
"Gary Trent"	0.127082
"Joe Smith"	0.126932
"Ante Razov"	0.126237
"Cedric Ceballos"	0.125661
"Mookie Blaylock"	0.125645
"Gabe Muoneke"	0.122843
"Rodney Rogers"	0.122255
"Sean Farnham"	0.121457
"Mark Bryant"	0.12116
"Otis Thorpe"	0.120553
"Chris Porter"	0.116672
"Brian Skinner"	0.116092
"Samaki Walker"	0.115429
"Lamond Murray"	0.114138
"Travis Knight"	0.113665
"Brian Grant"	0.113286
"Clarence Weatherspoon"	0.110973
"Tamika Catchings"	0.11062
"Jermaine O'Neal"	0.110587
"Ruben Patterson"	0.110383
"Michael Wright"	0.109988
"Stern John"	0.109836
"Austin Croshere"	0.109789
"Mark Madsen"	0.106966
"Juha Ylonen"	0.106954
"Brian Scalabrine"	0.106577
"Kevin Freeman"	0.105674
"Sam Clancy"	0.105109
"Derrick Coleman"	0.104345
"Clifford Robinson"	0.103821
"Richard Jefferson"	0.103322
"Shawn Marion"	0.103265
"Rasheed Wallace"	0.102611
"Mike Miller"	0.101244
"Kendall Gill"	0.100046
"Sam Perkins"	0.0978716
"Ron Artest"	0.0975875
"Chris Mills"	0.097287
"Aaron Williams"	0.0966892
"Keith Van Horn"	0.0966248
"J.R Reid"	0.096458
"Kenyon Martin"	0.0962784
"Chris Anstey"	0.0962528
"Hu Weidong"	0.0960878
"Shammond Williams"	0.0960372
"CORIE BLOUNT"	0.0959275
"Juwan Howard"	0.0955602
"Blake Sloan"	0.0949535
"Jumaine Jones"	0.0946286
"Tony Battie"	0.0945042
"Carlos Rogers"	0.0943024
"Kris Clack"	0.0939743
"Jeff Friesen"	0.0934977
"Kurt Thomas"	0.0932425
"Dirk Nowitzki"	0.0928461
"Robert Traylor"	0.0926296
"Shane Doan"	0.0924631
"Antonio Davis"	0.0923368
"Chris Carrawell"	0.092199
"Raef LaFrentz"	0.0920947
"Shane Battier"	0.0920895
"Joe Thornton"	0.0918567
"Isaiah Rider"	0.0912711
"Paul Pierce"	0.0912341
"Alen Boksic"	0.0909405
"Jeff Ogden"	0.0905585
"Jamal Mashburn"	0.0903865
"Rico Hines"	0.0903458
"SCOTT BURRELL"	0.0902645
"Jelani McCoy"	0.0902038
"DeLisha Milton"	0.0900659
"Theo Fleury"	0.0897067
"Tony Massenburg"	0.0896012
"Othella Harrington"	0.0892931
"Tom Gugliotta"	0.0892882
"Chris Gatling"	0.08907
"Billy Owens"	0.088429
"Wendel Clark"	0.0877912
"A.C. Green"	0.0876995
"Michael Booker"	0.0872677
"JaRon Rush"	0.0867658
"Chris Taylor"	0.0867654
"Danny Fortson"	0.0859736
"Bonzi Wells"	0.0856474
"Donyell Marshall"	0.085134
"Jason Kapono"	0.0849044
"Morris Peterson"	0.08471
"Etan Thomas"	0.0843112
"Michael Smith"	0.0837341
"Matt Barnes"	0.0833481
"Tim Thomas"	0.0830308
"Brian McBride"	0.082512
"Matt Bullard"	0.082443
"Bill Guerin"	0.0823502
"Antonio McDyess"	0.0823225
"Bryon Russell"	0.0820525
"Marcus Fizer"	0.0817331
"Danny Manning"	0.0812153
"Tyronn Lue"	0.0809419
"Mike Sullivan"	0.0808286
"Ted Donato"	0.0807366
"Doug Gilmour"	0.0799533
"Jerome Moiso"	0.0799125
"Brad Isbister"	0.0795807
"Jason Allison"	0.0792214
"Pat Verbeek"	0.0790211
"Sean Elliott"	0.07899
"Tony Graziani"	0.0788646
"Keith Tkachuk"	0.0787579
"Pat Garrity"	0.0787048
"Matthew Barnaby"	0.0785428
"Jamie Feick"	0.0783525
"P.J Axelsson"	0.0781683
"Ziggy Palffy"	0.0780688
"Shareef Abdur-Rahim"	0.0777322
"Patrik Elias"	0.0776723
"Steve Smith"	0.0776415
"Tracy McGrady"	0.0775028
"Elden Campbell"	0.0773857
"Kenny Thomas"	0.0773832
"Rick Tocchet"	0.077298
"Rick Fox"	0.076952
"Brendan Shanahan"	0.0768864
"Geoff Sanderson"	0.07687
"Dallas Drake"	0.0766541
"Dickey Simpkins"	0.0760117
"Henri Crockett"	0.0758573
"Dennis Scott"	0.0756745
"Jamie Langenbrunner"	0.0755262
"Shawn Kemp"	0.0754231
"Tim Duncan"	0.0753249
"P.J Brown"	0.075162
"Michael Finley"	0.0745568
"Bob Corkum"	0.0742768
"Vin Baker"	0.0742296
"Damon Stoudamire"	0.0739502
"John Wallace"	0.0737356
"Milan Hejduk"	0.0734263
"Richard Hamilton"	0.0732918
"Charles Oakley"	0.0730367
"Vlade Divac"	0.0730238
"Sun Wen"	0.0728895
"Glenn Robinson"	0.0728752
"Terry Cummings"	0.0727551
"Arvydas Sabonis"	0.0727191
"Predrag Mijatovic"	0.0721822
"Joe Juneau"	0.0721307
"Anson Carter"	0.0717274
"Chamique Holdsclaw"	0.0715711
"Greg Adams"	0.0713906
"Pavol Demitra"	0.0711267
"Sergei Fedorov"	0.0710742
"Antawn Jamison"	0.070831
"Corey Maggette"	0.0705433
"Anthony Mason"	0.0699843
"Peter Forsberg"	0.0694463
"Valeri Kamensky"	0.069173
"Shannon MacMillan"	0.0691067
"Dale Davis"	0.0689593
"Chris Drury"	0.0689309
"Sheryl Swoopes"	0.0689238
"Keith Brooking"	0.0680839
"Don Maclean"	0.0678515
"Shandon Anderson"	0.06784
"Mia Hamm"	0.0677537
"Hao Haidong"	0.0676689
"Larry Johnson"	0.0675148
"Alexei Yashin"	0.0673842
"Olli Jokinen"	0.0673119
"Harry Kewell"	0.0672568
"Brian Rolston"	0.0671388
"George McCloud"	0.0669975
"Kirk Muller"	0.066931
"Lamar Odom"	0.0668345
"Grant Marshall"	0.066794
"Horace Grant"	0.0664985
"Joe Nieuwendyk"	0.066473
"Dave Andreychuk"	0.06606
"Wally Szczerbiak"	0.0658878
"Robert Horry"	0.0656733
))
("Chris Drury" (desc 2059.07) (sims
"Adam Deadmarsh"	0.352018
"Peter Forsberg"	0.335047
"Milan Hejduk"	0.331813
"Valeri Kamensky"	0.301553
"Joe Sakic"	0.294812
"Sandis Ozolinsh"	0.29079
"Claude Lemieux"	0.231604
"Dave Reid"	0.190354
"Dave Andreychuk"	0.182935
"Theo Fleury"	0.166279
"Kenny Thomas"	0.156914
"Raef LaFrentz"	0.130289
"Olli Jokinen"	0.129589
"Vincent Damphousse"	0.120345
"Patrick Roy"	0.119816
"Joe Thornton"	0.119019
"Cliff Ronning"	0.117924
"Hu Weidong"	0.114758
"Ray Bourque"	0.114479
"Scott Gomez"	0.114458
"Donyell Marshall"	0.113648
"Grant Long"	0.113128
"Ante Razov"	0.110897
Fleury	0.110567
"Steve Yzerman"	0.110381
"Shawn Marion"	0.110154
"Manny Malhotra"	0.109927
"Brian Skinner"	0.109807
"Tyrone Nesby"	0.109641
"Guy Carbonneau"	0.109516
Drury	0.109146
"Lee Nailon"	0.10907
"Stern John"	0.107519
"Kenyon Martin"	0.107365
"Brian Scalabrine"	0.106222
"Robert Traylor"	0.105061
"Jermaine O'Neal"	0.104809
"Tony Amonte"	0.104404
"Matt Harpring"	0.103865
"Brenden Morrow"	0.103604
"Doug Gilmour"	0.103206
"Steve Rucchin"	0.103185
"Chris Taylor"	0.103142
"Pat Verbeek"	0.102495
"Brad Miller"	0.102176
"Mike Sullivan"	0.100568
"Dale Hunter"	0.099691
"Patrik Stefan"	0.0991008
"Doug Weight"	0.0988922
"Brian Skrudland"	0.0986831
"Mark Madsen"	0.0985596
Hejduk	0.0984571
"Predrag Mijatovic"	0.0981368
"Gabe Muoneke"	0.0974218
"Marcus Fizer"	0.0974029
"Jumaine Jones"	0.0966844
"Jarvis Turner"	0.0966764
"Alexei Kovalev"	0.0965824
"Tamika Catchings"	0.0956487
"Aaron Gavey"	0.0948458
"Joe Nieuwendyk"	0.0944905
"Rashard Lewis"	0.0942733
"Etan Thomas"	0.0939433
"Corliss Williamson"	0.0937217
"Devean George"	0.0936162
Forsberg	0.0930662
"Dmitri Khristich"	0.0930107
"Ron Artest"	0.0929929
"Keith Jones"	0.092953
"Rick Tocchet"	0.0929038
"Scott Thornton"	0.0924523
"Raul Diaz Arce"	0.0916188
"Kris Clack"	0.0916175
"Igor Larionov"	0.0915257
"Ruben Patterson"	0.0914521
"Chris Anstey"	0.0912863
"Brian McBride"	0.091172
"Brendan Shanahan"	0.09111
"Yao Ming"	0.0905159
"Austin Croshere"	0.0903433
"John LeClair"	0.0901579
"Jeremy Roenick"	0.0901016
"Anson Carter"	0.0895476
"Michael Wright"	0.0892949
"CORIE BLOUNT"	0.0887726
"Pavol Demitra"	0.0884994
"Derrick Coleman"	0.0882457
"DeLisha Milton"	0.0876418
"Patrik Elias"	0.0873878
"Sam Clancy"	0.087353
"Blake Sloan"	0.0873309
"Roy Lassiter"	0.0872947
"Joe Juneau"	0.0869153
"Brian Rolston"	0.0867117
"Wally Szczerbiak"	0.0866096
"Geoff Sanderson"	0.0863136
"Yanic Perreault"	0.0860835
LaPointe	0.0859176
"Sergei Fedorov"	0.0857252
"Bob Corkum"	0.0851847
"Adam Oates"	0.0849707
"Dirk Nowitzki"	0.0848233
"Theo Ratliff"	0.0845739
"Shannon MacMillan"	0.0844568
"Travis Green"	0.0840629
"Scot Pollard"	0.0839887
"Leon Smith"	0.0838791
"Grant Marshall"	0.0838622
"Patrick Kluivert"	0.0831321
"Alexei Yashin"	0.0829715
"Jelani McCoy"	0.082884
"Lamond Murray"	0.0826157
"Jason Allison"	0.0824551
"Jason Arnott"	0.0824239
"Keith Tkachuk"	0.0824125
"Bryon Russell"	0.0820779
Hlavac	0.081754
"Kevin Freeman"	0.0814395
"Juwan Howard"	0.0813932
"ZIGMUND PALFFY"	0.0811384
"Antawn Jamison"	0.080929
"Paul Kariya"	0.0808763
"Kirk Muller"	0.0804101
"Cedric Ceballos"	0.0802699
"Sun Wen"	0.0802244
"Teemu Selanne"	0.0799137
"Dallas Drake"	0.0796304
"Hidetoshi Nakata"	0.0791482
"Mike Miller"	0.0791119
"Chris Porter"	0.0789747
"Derek Plante"	0.0786359
LeClair	0.0785949
"Todd MacCulloch"	0.0785073
"Jere Lehtinen"	0.0784969
"Tim Taylor"	0.0784193
"Morris Peterson"	0.0783976
"Eric Lindros"	0.0783179
"Elton Brand"	0.0782542
"Jamie Langenbrunner"	0.0782033
"Clifford Robinson"	0.0781296
"Clint Mathis"	0.0777733
"John Madden"	0.0775657
"Darryl Sydor"	0.0774315
"Horace Grant"	0.0773123
"Cindy Parlow"	0.076874
"Claudio Lopez"	0.0767465
"Jeff Friesen"	0.0767199
"Hao Haidong"	0.0764326
"Sam Perkins"	0.0764136
"Paul Pierce"	0.076211
"Glenn Robinson"	0.0759283
"Rob DiMaio"	0.0755566
"Manny Legace"	0.0753601
"Matt Luke"	0.0753161
"Herb Williams"	0.0750811
"Jason Kapono"	0.0750441
"Raul Gonzalez"	0.0749775
"Ron Francis"	0.0745762
"Wendel Clark"	0.0743953
"Keith Primeau"	0.0743679
Longley	0.0742886
"Brian Grant"	0.0741188
"Rodney Rogers"	0.0739391
"Mike Keane"	0.0738297
"Travis Knight"	0.0736535
"Bobby Holik"	0.0736235
"Chamique Holdsclaw"	0.0736023
"Juha Ylonen"	0.0735542
"Jeff Weaver"	0.0735444
"Ray Ferraro"	0.0734432
"Mike Modano"	0.0732126
"Michael Finley"	0.0730391
"Pierre Turgeon"	0.0729783
"Dickey Simpkins"	0.0729221
"P.J Brown"	0.0728713
"Jonathan Bender"	0.0728135
"Ian Laperriere"	0.0727831
"Christian Laettner"	0.0727538
"Khodadad Azizi"	0.0727184
"Jose Jimenez"	0.0724998
"Peerless Price"	0.0722498
"Jerome Moiso"	0.0722186
"Tore Andre Flo"	0.0719953
"Shane Battier"	0.0719892
"Alan Henderson"	0.0719574
"Shane Doan"	0.0715293
"Sean Rooks"	0.0712719
"Alen Boksic"	0.0712038
"Tina Thompson"	0.0711636
"Dale Davis"	0.0711594
"Peter Bondra"	0.0711365
"Bruce Aven"	0.0709638
"Mia Hamm"	0.0708611
"Kurt Thomas"	0.0708104
"Wang Zhizhi"	0.0708068
"Wang Tao"	0.0707772
"Scott Niedermayer"	0.0705672
Sundin	0.0703935
"Luis Hernandez"	0.0703372
"Ian Wright"	0.0702544
))
("Chris Dudley" (desc 4441.54) (sims
"Chris Childs"	0.262706
"Charlie Ward"	0.255407
"Kurt Thomas"	0.242446
"Marcus Camby"	0.223805
"Herb Williams"	0.218698
"Allan Houston"	0.191453
"Larry Johnson"	0.182005
"Latrell Sprewell"	0.176623
"John Wallace"	0.151773
"Dennis Scott"	0.149207
"Patrick Ewing"	0.134188
"John Starks"	0.132367
Camby	0.131025
Dudley	0.129011
Childs	0.119151
Sprewell	0.117228
"Dikembe Mutombo"	0.110555
"Travis Knight"	0.109336
"Sean Rooks"	0.107101
"Alonzo Mourning"	0.104329
"Derrick Coleman"	0.101796
"Chris Mills"	0.101627
Ewing	0.0930706
"Brad Miller"	0.092805
"Vlade Divac"	0.0919189
"Marcus Outzen"	0.090661
"Glen Rice"	0.0880882
"Jim McIlvaine"	0.08487
"Dave Brown"	0.0847007
"John Salley"	0.0834187
"Greg Foster"	0.08231
"Jason Garrett"	0.0821032
"Ken Johnson"	0.0818534
"Robert Horry"	0.0803234
"Oliver Miller"	0.0803118
"Elden Campbell"	0.0797782
"Shawn Kemp"	0.0796923
"Bubby Brister"	0.0784232
"Eric Murdock"	0.0783401
"Nick Anderson"	0.0775672
"Travis Best"	0.0770307
"Scot Pollard"	0.0770116
"Charles Oakley"	0.0752645
"Jermaine O'Neal"	0.0752482
"Jelani McCoy"	0.0751524
"Rik Smits"	0.0746531
"Derek Harper"	0.0740365
"Robert Reichel"	0.0738723
"David Robinson"	0.0738674
"Othella Harrington"	0.0736281
"Matt Geiger"	0.0735381
"Vin Baker"	0.0731989
"Vitaly Potapenko"	0.072938
"Dave Wohlabaugh"	0.0728503
"Ray Lucas"	0.0724551
"Damon Huard"	0.0722864
"Joe Kleine"	0.0708574
"Chris Warren"	0.0707879
"Grant Hill"	0.0707545
"Alan Henderson"	0.0689193
"Mike Van Raaphorst"	0.0688125
"Voshon Lenard"	0.0687284
"Damon Stoudamire"	0.0687005
"Brian Shaw"	0.0686935
"Danny Fortson"	0.0684997
"Jerry Stackhouse"	0.0679556
"Vernon Maxwell"	0.0672465
"Bill Wennington"	0.0669124
"Drew Bennett"	0.0668403
"Greg Ostertag"	0.0666241
"Nick Van Exel"	0.0663453
"Damien Woody"	0.0663103
"Wang Zhizhi"	0.0655451
"Stephon Marbury"	0.0654019
"Tyronn Lue"	0.0652193
"Manny Fernandez"	0.0647957
"Yao Ming"	0.0638096
"Chris Mullin"	0.0637413
"Hakeem Olajuwon"	0.0637389
"Steve DeBerg"	0.0636051
"Kelvin Cato"	0.0635499
"Jayson Williams"	0.0630178
"Michael Olowokandi"	0.0629358
"Rob Johnson"	0.0629273
"Brian Grant"	0.0628803
"Jim Jackson"	0.0625297
"Brian Griese"	0.0625097
"Rick Fox"	0.0624156
"Danny Kanell"	0.0622853
"Arvydas Sabonis"	0.0622745
"Todd MacCulloch"	0.062108
"Glenn Foley"	0.0617388
"Luc Longley"	0.0615712
"Kendall Gill"	0.0613068
"Antonio Davis"	0.0611964
"Shannon MacMillan"	0.0611835
"Derek Plante"	0.0610655
"Terrell Brandon"	0.0610344
"Derek Fisher"	0.0609914
"Otis Thorpe"	0.0609309
"Gus Frerotte"	0.0609301
"Tony Hutson"	0.0608426
"Horace Grant"	0.0606171
"Charles Barkley"	0.0603038
"Jeff Garcia"	0.0602723
"Will Perdue"	0.0602627
"Bill Haselman"	0.0601214
"Kent Graham"	0.0597186
"Ty Detmer"	0.0590597
"Brandon Granville"	0.0588748
"Clifford Robinson"	0.0587133
"Ryan Bailey"	0.0582079
"Mitch Richmond"	0.0581688
"Jamie Feick"	0.0577242
"Ron Francis"	0.0575834
"Dickey Simpkins"	0.0575736
"Steve Kerr"	0.0575314
"Manny Malhotra"	0.0573841
"Joe Smith"	0.0573282
"Zydrunas Ilgauskas"	0.0572459
"Donyell Marshall"	0.0571442
"Brian Scalabrine"	0.0568964
"Doug Pederson"	0.0568955
"Karl Malone"	0.0568574
"Jake Voskuhl"	0.0568448
"Clarence Weatherspoon"	0.0568282
"Todd Pratt"	0.0567587
Ranford	0.0566962
"Antoine Carr"	0.0565079
"Dale Hunter"	0.056263
"Rasheed Wallace"	0.0562339
"Willis Reed"	0.0561851
"Sam Perkins"	0.056169
"Shaquille O'Neal"	0.0561246
"Jaren Jackson"	0.0557486
"Neil O'Donnell"	0.0556172
"Tony Graziani"	0.0554724
"John Fox"	0.0552969
"Rony Seikaly"	0.0552883
"Paul Justin"	0.0552721
"Todd Husak"	0.0551481
Kukoc	0.0551162
"Eddie Perez"	0.0549962
"Dan Cloutier"	0.0549633
"P.J Brown"	0.0545811
"Cliff Ronning"	0.0544841
"Kevin Mathis"	0.0544827
"Luis Sojo"	0.0538348
"Jerome Moiso"	0.0536522
"Jeff George"	0.0534679
"Eric Snow"	0.0534519
"Malik Sealy"	0.0532862
"Vincent Damphousse"	0.0532067
"Scott Zolak"	0.0530468
"Trajan Langdon"	0.0528889
"Bobby Hoying"	0.0527969
Starks	0.0527437
"Ryan Kealy"	0.0526149
"Howard Eisley"	0.0522882
"Flozell Adams"	0.052243
"Juwan Howard"	0.0522391
"CORIE BLOUNT"	0.0521352
"Samaki Walker"	0.0519911
"John Calipari"	0.0517438
"Stacey Augmon"	0.0517034
"Guy Carbonneau"	0.0516783
"JOHN FRIESZ"	0.0516609
"Yanic Perreault"	0.051523
"Jeff Blake"	0.0514905
"Sergei Fedorov"	0.0514386
"Sedrick Shaw"	0.0513992
"Travis Green"	0.0512986
"Antoine Walker"	0.0510123
"Dirk Nowitzki"	0.0508506
"Maurice Taylor"	0.0507651
"Dale Davis"	0.0507598
"Bruce Matthews"	0.0504504
"Paul Westphal"	0.050395
Cleaves	0.050337
"Tony Hrkac"	0.0503196
"A.C. Green"	0.0502466
"Lee Nailon"	0.0502364
Gadzuric	0.0499906
"J.R Reid"	0.0499841
"Kobe Bryant"	0.0499517
"Jeff Huson"	0.0499501
"Chris Mihm"	0.0499295
"Brian Skinner"	0.0497921
"Ruben Patterson"	0.0497398
"Isaiah Rider"	0.0495685
"Mike Dunleavy"	0.0494867
"Ron Artest"	0.0494133
"Jennifer Gillom"	0.0494012
"Felix Potvin"	0.0493497
Sabonis	0.0492856
"Steve Yzerman"	0.049067
"Tim Hardaway"	0.049063
"Peter Forsberg"	0.0490272
"Buck Williams"	0.0489944
"Dan Gadzuric"	0.0489779
))
("Chris Evert" (desc 3260) (sims
"Martina Navratilova"	0.211687
"Arthur Ashe"	0.206258
"Ivan Lendl"	0.178772
"Billie Jean King"	0.167343
"Bjorn Borg"	0.16555
"John McEnroe"	0.162313
Swardt	0.129296
"Mary Joe Fernandez"	0.116843
"Steffi Graf"	0.115912
Evert	0.109267
"Boris Becker"	0.101967
"Mats Wilander"	0.0942139
"Stefan Edberg"	0.0929246
"Jimmy Connors"	0.0912554
"Andrew Ilie"	0.0902991
"Monica Seles"	0.0901831
"Kimiko Date"	0.0846855
"Jennifer Capriati"	0.084343
"Arantxa Sanchez-Vicario"	0.0841559
"Andre Agassi"	0.0799364
"Marcelo Filippini"	0.0791778
"Michael Stich"	0.0778545
"Iva Majoli"	0.0772473
"Patty Schnyder"	0.0770891
"Serena Williams"	0.0769184
"Yayuk Basuki"	0.0766592
"Magui Serna"	0.0758582
"Venus Williams"	0.0753866
"Li Fang"	0.0753589
"Marc Rosset"	0.074302
"Sebastien Lareau"	0.0742146
"Alexandra Stevenson"	0.07397
"Pete Sampras"	0.0737005
"Jim Courier"	0.0735977
"Montana State"	0.0732673
"Jana Novotna"	0.0729063
"Magdalena Maleeva"	0.0726363
"Anke Huber"	0.0723657
"Anna Kournikova"	0.0716864
"Martina Hingis"	0.071586
"Lindsay Davenport"	0.0713594
"Albert Portas"	0.0712526
"Conchita Martinez"	0.0710933
"Ruxandra Dragomir"	0.0693886
"Rod Laver"	0.0692623
"Arantxa Sanchez Vicario"	0.0692521
"Younes El Aynaoui"	0.0691279
"Jonathan Stark"	0.0681041
"Tatiana Panova"	0.0678263
"Renzo Furlan"	0.0670704
"Hernan Gumy"	0.0655778
"Pat Rafter"	0.0644448
"Elena Dementieva"	0.0643499
"Tamarine Tanasugarn"	0.0643237
Sugiyama	0.0632439
"Arnaud Boetsch"	0.0629721
"Michael Chang"	0.0628533
"Arnaud Di Pasquale"	0.0627946
"Ai Sugiyama"	0.0625192
Coetzer	0.061927
"Ben Hogan"	0.0617859
"Mary Pierce"	0.0616768
"Thomas Muster"	0.0612802
Sanchez-Vicario	0.060574
"Jerome Golmard"	0.0595801
"Amelie Mauresmo"	0.0592857
Ulihrach	0.0592531
"Cara Black"	0.0589251
"Van Roost"	0.0587911
Mauresmo	0.058709
"Phenix City"	0.0587048
"Franco Squillari"	0.0586226
Bjorkman	0.0583202
"Anne Kremer"	0.0574159
"Goran Ivanisevic"	0.0571275
"Leander Paes"	0.0570129
"Asa Carlsson"	0.0568713
"Juan Antonio Marin"	0.0568161
"Paola Suarez"	0.05678
Halard-Decugis	0.0566356
"Kim Clijsters"	0.0565882
"Oliver McCall"	0.0563191
"Sam Snead"	0.0563026
"Christian Ruud"	0.0562661
"Alberto Costa"	0.0560982
"Jason Stoltenberg"	0.0558718
"Elena Likhovtseva"	0.0558356
"Florencia Labat"	0.0558241
"Roger Federer"	0.0557483
"Carlos Costa"	0.0556684
"Nicolas Lapentti"	0.0555408
"Jack Nicklaus"	0.0551877
"Xavier Malisse"	0.0549879
"Jelena Dokic"	0.0549622
Hendrawan	0.054938
"Nicole Pratt"	0.0547182
"Ramon Delgado"	0.0544329
"Adrian Voinea"	0.0539699
"Catalina Cristea"	0.0538975
"Jackson State"	0.0538585
"Mariano Puerta"	0.0537382
"Jorgen Persson"	0.0535077
"Nicolas Escude"	0.0533798
"Davide Sanguinetti"	0.0528608
Berasategui	0.0527958
"Andreas Vinciguerra"	0.0527118
"Southern Cal"	0.052687
McEnroe	0.0526332
"Amanda Coetzer"	0.0525899
"Julie Halard-Decugis"	0.0524956
"Tom Watson"	0.052153
Jansher	0.0521085
"Neville Godwin"	0.0517289
Laver	0.0516602
"Naoko Sawamatsu"	0.05166
"Petr Korda"	0.0514457
"Rainer Schuttler"	0.0513166
"Barbara Paulus"	0.0511696
"Richard Fromberg"	0.0509114
Zvereva	0.050854
"Slava Dosedel"	0.0508308
"Henrieta Nagyova"	0.0503986
Borg	0.0503298
"Jonas Bjorkman"	0.0501978
"Sargis Sargsian"	0.0500296
"Sarah Pitkowski"	0.0499505
"Tara Snyder"	0.0498778
"Wayne Ferreira"	0.0498492
"Arnold Palmer"	0.0498008
"Karim Alami"	0.0497507
"Tim Henman"	0.049728
"Barbara Schett"	0.0494874
"Els Callens"	0.0494188
"Juan Carlos Ferrero"	0.04919
"Nancy Lopez"	0.0491374
Faldo	0.0490163
"Judith Wiesner"	0.0488584
Clavet	0.0488365
"Andrei Pavel"	0.0487475
"Silvia Farina"	0.0487064
"Alex O'Brien"	0.0486336
"Fabrice Santoro"	0.0484577
"Partizan Belgrade"	0.0483624
"Scott Draper"	0.0483247
"Sanchez Vicario"	0.0482451
"Arnaud Clement"	0.0482237
"Nicolas Kiefer"	0.0482057
Gambill	0.048092
"Helena Sukova"	0.0480003
"Fernando Meligeni"	0.0479769
"Sebastien Grosjean"	0.04791
Nicol	0.047751
"Javier Sotomayor"	0.0475863
Kournikova	0.0475808
"Andres Gomez"	0.0474502
"Andrei Medvedev"	0.0474158
"Richard Krajicek"	0.0474131
"Andrea Gaudenzi"	0.0471901
Hrbaty	0.0471772
"Wayne Arthurs"	0.0471609
Rusedski	0.0471443
"Galo Blanco"	0.0471031
"Nathalie Dechy"	0.04704
"Mariano Zabaleta"	0.0470155
"Lori McNeil"	0.0469014
Krajicek	0.046821
Brondby	0.0467076
Likhovtseva	0.046692
Nacional	0.0466328
"Barbara Rittner"	0.046596
"Alberto Berasategui"	0.0464993
"Carl Lewis"	0.0461839
"Gong Zhichao"	0.0461252
"Corina Morariu"	0.0460039
Hearns	0.0459522
Navratilova	0.0455831
"Gianluca Pozzi"	0.0455445
"Axel Schulz"	0.0455395
Affirmed	0.0455351
Kafelnikov	0.0454659
"Irina Spirlea"	0.045452
"Max Mirnyi"	0.0454481
"Albert Costa"	0.0453542
"Sjeng Schalken"	0.0453322
"Anne-Gaelle Sidot"	0.0453246
"Thomas Enqvist"	0.0452997
"Sabine Appelmans"	0.0451746
"Guillaume Raoux"	0.0451136
"Alex Corretja"	0.0450453
"Barry Sanders"	0.0450139
"Daniel Vacek"	0.0448935
"Rita Grande"	0.0448453
"Deon Hemmings"	0.0447971
"Byron Black"	0.0447576
"Amy Frazier"	0.0446622
"Guy Forget"	0.0446297
"Kveta Hrdlickova"	0.0443772
"Eric Dickerson"	0.0442719
Shriver	0.0441099
Dragomir	0.0440769
))
("Chris Gaines" (desc 1626.16) (sims
"Marilyn Manson"	0.109533
"Jim Morrison"	0.106418
"Melissa Etheridge"	0.104785
"Jon Bon Jovi"	0.0924795
"George Michael"	0.0877147
"Don Henley"	0.081916
Bjork	0.0816404
"Billy Joel"	0.0815173
"John Mellencamp"	0.0773699
"Phil Collins"	0.0766533
"Chrissie Hynde"	0.0740916
"Bruce Springsteen"	0.0726292
"David Bowie"	0.0722574
"Lou Reed"	0.0699243
"Mick Jagger"	0.0692104
"Courtney Love"	0.0672538
Bono	0.0664059
Stillwater	0.0659116
Mayberry	0.063049
"Kurt Cobain"	0.0619965
"Kirk Franklin"	0.0619593
"GLORIA ESTEFAN"	0.0615673
"Lenny Kravitz"	0.0613118
"Britney Spears"	0.0602886
"Jesse James"	0.0597543
Selena	0.0592921
"Ricky Martin"	0.0588212
"Mariah Carey"	0.057646
"Jimmy Buffett"	0.0567183
"Loretta Lynn"	0.0559829
personae	0.0558041
"Sarah McLachlan"	0.0557474
"Elvis Costello"	0.0552261
"Linda Ronstadt"	0.0548436
"Celine Dion"	0.0547128
"Marc Anthony"	0.0542969
"Elton John"	0.0541771
"Paul Simon"	0.0527021
"Jo Dee Messina"	0.0516674
"Christina Aguilera"	0.0513975
"BUENA VISTA SOCIAL CLUB"	0.0512459
"Janis Joplin"	0.0507988
"Faustino Asprilla"	0.0503687
uptempo	0.0502714
"Tina Turner"	0.0501124
"Sheryl Crow"	0.0500622
"Peter Gabriel"	0.0499804
crooning	0.0496346
"James Taylor"	0.049632
"Whitney Houston"	0.0495608
Menudo	0.0487506
"Marvin Gaye"	0.0484799
Jeeves	0.0477794
"Dwight Yoakam"	0.0474503
"Jerry Garcia"	0.0473994
savant	0.0467597
"Patti Smith"	0.0465589
"Reba McEntire"	0.0462723
Billie	0.0456117
"Rob Thomas"	0.0454344
"Hannibal Lecter"	0.0446251
"Steve Earle"	0.0444928
"Eric Cantona"	0.044319
"Bob Marley"	0.0440571
"Ruben Blades"	0.0438402
"Lillian Hellman"	0.0436885
"Bobby Brown"	0.0432592
"Carlos Santana"	0.0430005
"Shania Twain"	0.0423392
"Private Ryan"	0.0422744
"LeAnn Rimes"	0.0422236
bluesman	0.0421906
"Waylon Jennings"	0.0421873
"Diego Rivera"	0.0418168
"Diana Krall"	0.0410702
"Little Richard"	0.0410161
"Josephine Baker"	0.0404613
"Alan Jackson"	0.0404359
Schubert	0.0401936
))
("Chris Gatling" (desc 2786.58) (sims
"Kerry Kittles"	0.192138
"Otis Thorpe"	0.183369
"Corliss Williamson"	0.182448
"SCOTT BURRELL"	0.179136
"Clifford Robinson"	0.175575
"Kendall Gill"	0.172262
"P.J Brown"	0.169161
"Lamond Murray"	0.163312
"Keith Van Horn"	0.163
"Jamie Feick"	0.162615
"Jamal Mashburn"	0.159835
"Walt Williams"	0.151281
"Danny Manning"	0.15017
"Danny Fortson"	0.149895
"Jarvis Turner"	0.146423
"Alan Henderson"	0.14559
"Clarence Weatherspoon"	0.144544
"Jayson Williams"	0.143991
"Dale Davis"	0.143068
"Bimbo Coles"	0.142935
"Raef LaFrentz"	0.142804
"Theo Ratliff"	0.142328
"Grant Long"	0.140349
"Antonio McDyess"	0.139581
"Terrell Brandon"	0.137431
"George McCloud"	0.136139
"Rodney Rogers"	0.135488
"Glenn Robinson"	0.13531
"Christian Laettner"	0.135302
"Jim McIlvaine"	0.134985
"Elden Campbell"	0.131342
"Rasheed Wallace"	0.131021
"Gabe Muoneke"	0.129352
"Derrick Coleman"	0.128537
"Othella Harrington"	0.127264
"Ron Mercer"	0.126239
"Brian Skinner"	0.12607
"J.R Reid"	0.124465
"Bill Guerin"	0.122982
"Pat Garrity"	0.121873
"Donyell Marshall"	0.119777
"Michael Wright"	0.119559
"Samaki Walker"	0.118947
"Maurice Taylor"	0.11815
"CORIE BLOUNT"	0.117537
"Brian Grant"	0.117496
"Robert Horry"	0.1168
"Juwan Howard"	0.116555
"Tim Thomas"	0.11643
"Ante Razov"	0.11553
"Antonio Davis"	0.114549
"Chris Mills"	0.113988
"Horace Grant"	0.113407
"John Wallace"	0.112976
"Mark Madsen"	0.112722
"Stephon Marbury"	0.111583
"Shawn Kemp"	0.111481
"Matthew Barnaby"	0.11093
"Eric Murdock"	0.110922
"Joe Smith"	0.11033
"Tamika Catchings"	0.109402
"Kenny Thomas"	0.10939
"Gary Trent"	0.109228
"Austin Croshere"	0.108675
"Sean Farnham"	0.107035
"Kurt Thomas"	0.106714
"Richard Jefferson"	0.105815
"Kenyon Martin"	0.105761
"Joe Juneau"	0.10507
"Shandon Anderson"	0.104339
"Shawn Marion"	0.104259
"Morris Peterson"	0.104115
"Cedric Ceballos"	0.103833
"Chauncey Billups"	0.102854
"Chris Porter"	0.102338
"Chris Webber"	0.102121
"Vin Baker"	0.102062
"Sean Rooks"	0.101756
"Sherman Douglas"	0.101084
"Kevin Willis"	0.100915
"Greg Anthony"	0.100468
"Kris Clack"	0.0997455
"Tariq Abdul-Wahad"	0.0996499
"Kevin Freeman"	0.0995746
"Eric Wynalda"	0.099268
"Tom Gugliotta"	0.0991111
"Tyrone Nesby"	0.0989537
"Mark Bryant"	0.0988586
"Sam Clancy"	0.0984182
"Voshon Lenard"	0.0980064
"Travis Knight"	0.097916
"Mike Miller"	0.0975476
"Antoine Carr"	0.0974881
"Scot Pollard"	0.0969671
"Jim Jackson"	0.0968751
"Don Maclean"	0.0960039
"Sam Cassell"	0.0951799
"Stern John"	0.0950798
"Anthony Mason"	0.0937663
"Alexei Kovalev"	0.0933868
"Corey Maggette"	0.0929297
"Roy Lassiter"	0.0925352
"Brevin Knight"	0.0922532
"Tracy McGrady"	0.0921116
"Cliff Ronning"	0.0920523
"Lorenzen Wright"	0.09165
"Dale Ellis"	0.091608
"Isaiah Rider"	0.0912499
"Charles Oakley"	0.0907815
"Todd Harvey"	0.0906755
"Ruben Patterson"	0.0906045
"Nick Van Exel"	0.0892626
"Chris Crawford"	0.08907
"Bryon Russell"	0.0890519
"Chris Carrawell"	0.0887906
"Brian Rolston"	0.087941
"Larry Johnson"	0.0879044
"Brendan Shanahan"	0.0878478
"Hu Weidong"	0.0878212
"Glen Rice"	0.0875531
"Rico Hines"	0.0874446
"Rick Tocchet"	0.086914
"Jerome Kersey"	0.0864273
"Etan Thomas"	0.0863655
"Theo Fleury"	0.0863301
"Dennis Scott"	0.0858972
"Rashard Lewis"	0.0856483
"Antawn Jamison"	0.0853931
"Patrik Elias"	0.0849452
"Jumaine Jones"	0.0845474
"Jerome Moiso"	0.0844988
"Michael Finley"	0.08434
"Khodadad Azizi"	0.0842308
"Dave Andreychuk"	0.0838045
"Rick Fox"	0.0837989
"Sun Wen"	0.0835417
"Stacey Augmon"	0.082996
"Eric Williams"	0.0827468
"Carlos Rogers"	0.0826675
"Mike Sullivan"	0.0825137
"Antoine Walker"	0.0822465
"Shane Doan"	0.0817995
"Wendel Clark"	0.0817131
"Dale Hunter"	0.0815882
"Terry Porter"	0.0815487
"Detlef Schrempf"	0.08134
"Marcus Fizer"	0.0811857
Gatling	0.0810907
"Sheryl Swoopes"	0.0809613
"Geoff Sanderson"	0.0803264
"Chris Anstey"	0.0802943
"Matt Barnes"	0.0797316
"Jermaine O'Neal"	0.0794357
"Aaron Williams"	0.0791445
"Olli Jokinen"	0.079018
"Robert Traylor"	0.0789653
"Joe Kleine"	0.0787054
"Grant Hill"	0.0786828
"Brian Scalabrine"	0.0785182
"Darrell Armstrong"	0.0782646
"Raul Diaz Arce"	0.0781217
"Ben Wallace"	0.0780519
"Carlos Hermosillo"	0.0780206
"Shane Battier"	0.0779139
"Mario Elie"	0.077773
"Bonzi Wells"	0.0772426
"Keith Tkachuk"	0.0771896
"Alexei Yashin"	0.0771166
"Jeff Friesen"	0.0769946
"JaRon Rush"	0.0769554
"Doug Gilmour"	0.0767052
"Tony Massenburg"	0.0762942
"Jalen Rose"	0.0762558
"Derek Anderson"	0.0755551
"Mitch Richmond"	0.0754496
"Shannon MacMillan"	0.075133
"Kevin Garnett"	0.0740748
"Terry Cummings"	0.0739867
"Brian McBride"	0.0739166
"Ziggy Palffy"	0.0738514
"Mookie Blaylock"	0.0736204
"DeLisha Milton"	0.0735406
"Jason Williams"	0.0733449
"Ed Gray"	0.0730503
Daigle	0.0729075
"Jason Kapono"	0.0722187
"Ivan Zamorano"	0.0722002
"Peter Forsberg"	0.0721932
"Matt Harpring"	0.0721703
"Nick Anderson"	0.0715442
"Larry Hughes"	0.071248
"Donald Audette"	0.0709524
"Greg Adams"	0.0707236
"Hao Haidong"	0.0701344
"Pavel Bure"	0.0701062
"Michael Smith"	0.0697237
"Niklas Sundstrom"	0.0696167
"Avery Johnson"	0.0694292
"Pavol Demitra"	0.0693764
"Billy Owens"	0.0690904
))
("Chris Gomez" (desc 1098.82) (sims
"Damian Jackson"	0.321389
"Eric Owens"	0.265682
"Neifi Perez"	0.261517
"Mark Loretta"	0.240692
"Jeff Huson"	0.236449
"Jose Valentin"	0.229416
"Marvin Benard"	0.217543
"Pat Meares"	0.212159
"Wally Joyner"	0.20765
"Cristian Guzman"	0.20507
"Kurt Abbott"	0.20427
"Russ Johnson"	0.203749
"Deivi Cruz"	0.203496
"Rich Aurilia"	0.201427
"Ruben Rivera"	0.198343
"Quilvio Veras"	0.197481
"Ricky Gutierrez"	0.195357
"Rafael Furcal"	0.194575
"Todd Walker"	0.193411
"Benji Gil"	0.19323
"Tim Bogar"	0.191107
"Luis Castillo"	0.188911
"Edgar Renteria"	0.186981
"Steve Finley"	0.183237
"CARLOS HERNANDEZ"	0.183146
"Phil Nevin"	0.180956
"Kevin Stocker"	0.180709
"Jose Hernandez"	0.179756
"Mike Bordick"	0.179584
"Andy Fox"	0.179583
Rolen	0.179278
"Desi Relaford"	0.178256
"Doug Glanville"	0.177268
"Rey Sanchez"	0.177012
"Andy Sheets"	0.176981
"Terrence Long"	0.176785
Vidro	0.176683
"Luis Lopez"	0.17594
"David Dellucci"	0.174915
"Ozzie Guillen"	0.174107
"Joe McEwing"	0.170031
"Bill Spiers"	0.168312
Agbayani	0.167766
"Derrek Lee"	0.167234
"Jose Vizcaino"	0.166952
Randa	0.166533
"Walt Weiss"	0.166531
"Tony Womack"	0.166056
"Mike Benjamin"	0.165814
"Alex Gonzalez"	0.164579
Lankford	0.163975
"John Vander Wal"	0.163838
"Melvin Mora"	0.163374
"Charlie Hayes"	0.163337
"Brad Fullmer"	0.163275
"Pat Burrell"	0.162711
"David Ortiz"	0.161737
"Keith Lockhart"	0.161147
"Luis Polonia"	0.16079
"Alex Cora"	0.160519
"Royce Clayton"	0.159369
"Gregg Jefferies"	0.158024
"Mike Caruso"	0.157813
"Geoff Jenkins"	0.157502
"Kevin Elster"	0.157501
Renteria	0.157334
"Miguel Tejada"	0.156914
"Manny Alexander"	0.156771
"Orlando Palmeiro"	0.156308
"Tony Batista"	0.155693
"Fernando Vina"	0.155444
"Reggie Sanders"	0.154733
"Mark Grudzielanek"	0.154058
"Brady Anderson"	0.153012
"Mark Kotsay"	0.152995
"Jeff Conine"	0.152891
"Shannon Stewart"	0.152327
"Jeffrey Hammonds"	0.151615
"Kelly Stinnett"	0.15066
"Barry Larkin"	0.150439
"Bobby Abreu"	0.150194
"Mike Lamb"	0.149416
Giambi	0.149286
"Rich Becker"	0.149229
"Kevin Jordan"	0.148921
"Lance Johnson"	0.148001
"Willie Greene"	0.147815
"Bobby Higginson"	0.147578
"Ken Caminiti"	0.145957
"Chris Widger"	0.145716
"Ray Lankford"	0.145431
"Miguel Cairo"	0.145382
"Bill Mueller"	0.145015
"Jose Guillen"	0.145
"Dave Martinez"	0.144843
"Mike Sweeney"	0.144752
"Lenny Harris"	0.14472
"Matt Lawton"	0.144336
Burnitz	0.14377
"Troy Glaus"	0.14343
"Marquis Grissom"	0.143364
"Ray Durham"	0.142121
Abreu	0.142061
"Greg Vaughn"	0.141199
"Damian Miller"	0.140883
"Brad Ausmus"	0.140143
"Dave Hollins"	0.140143
Glanville	0.139855
"Erubiel Durazo"	0.139508
"Jon Nunnally"	0.139288
"Tony Eusebio"	0.139156
"Rey Ordonez"	0.138665
"Ron Coomer"	0.137456
Spiers	0.137416
"Joe Randa"	0.13726
"Tony Graffanino"	0.136564
Fryman	0.136499
"Jeremy Giambi"	0.13628
"Eric Chavez"	0.136191
"Damion Easley"	0.136162
"Otis Nixon"	0.136004
"Jay Bell"	0.135395
"Gary DiSarcina"	0.134752
Alicea	0.133699
"Matt Franco"	0.133452
"Juan Castro"	0.133351
"Donnie Sadler"	0.133108
"Matt Stairs"	0.133012
"Raul Ibanez"	0.132985
"Brook Fordyce"	0.132759
"Carlos Lee"	0.131401
"Dave Hansen"	0.131347
"Clay Bellinger"	0.131211
"Benny Agbayani"	0.131174
Sexson	0.131076
"Matt Luke"	0.130513
"Carlos Beltran"	0.130469
"Tom Goodwin"	0.130181
"Frank Catalanotto"	0.129935
"Corey Koskie"	0.12979
"Eddie Taubensee"	0.129551
"Adam Kennedy"	0.129314
"Greg Myers"	0.129234
Javier	0.129159
"Trenidad Hubbard"	0.128674
"Gerald Williams"	0.128565
"Herbert Perry"	0.128256
"Enrique Wilson"	0.128084
"Preston Wilson"	0.127777
"Scott Spiezio"	0.127155
"Todd Hollandsworth"	0.127067
"Wil Cordero"	0.127057
"Glenallen Hill"	0.126764
"Matt Walbeck"	0.12533
"Rico Brogna"	0.124693
"Will Clark"	0.124545
"Ellis Burks"	0.124536
"Omar Vizquel"	0.124132
"Mark Johnson"	0.123932
"Mickey Morandini"	0.123807
"Richard Hidalgo"	0.123609
Fullmer	0.123571
Ordonez	0.122605
Trammell	0.122507
"Shawon Dunston"	0.12155
Cedeno	0.12125
"Pokey Reese"	0.121223
DiSarcina	0.120613
"Craig Paquette"	0.120583
"J.D Drew"	0.120491
Nevin	0.120048
"Roger Cedeno"	0.119826
"Rondell White"	0.118655
"Rob Ducey"	0.118577
"Karim Garcia"	0.118449
"Carlos Guillen"	0.118099
"Jose Vidro"	0.117947
"Brian Hunter"	0.117856
"Jeff Cirillo"	0.117408
"Wade Boggs"	0.117394
"Jay Payton"	0.117277
"Peter Bergeron"	0.117178
"Luis Alicea"	0.117169
"Mark McLemore"	0.117036
"Bruce Aven"	0.1167
Walbeck	0.116579
"Johnny Damon"	0.115943
"Bengie Molina"	0.115639
"Ron Gant"	0.115423
"Carlos Febles"	0.115277
"Kenny Lofton"	0.115158
"Warren Morris"	0.114739
Bordick	0.114739
"Dmitri Young"	0.114648
"Vladimir Guerrero"	0.114611
"Magglio Ordonez"	0.114491
"Dante Bichette"	0.114109
"Gregg Zaun"	0.113884
"Delino DeShields"	0.113751
"Stan Javier"	0.11364
"J.T Snow"	0.113451
"Danny Bautista"	0.113149
"Jeff Kent"	0.113061
"Richie Sexson"	0.113029
Konerko	0.113019
Caminiti	0.112871
Higginson	0.112647
"Dean Palmer"	0.112507
"Darin Erstad"	0.112209
Glaus	0.112155
"Ryan Klesko"	0.112021
"Mike Lieberthal"	0.111921
Larkin	0.111714
Veras	0.11155
Loretta	0.111531
Dellucci	0.111425
Baerga	0.111398
"Bubba Trammell"	0.111141
"Mike Cameron"	0.1111
"Wilton Veras"	0.110975
"Jose Offerman"	0.11033
"Travis Lee"	0.110032
"John Valentin"	0.11002
Lugo	0.109966
"Jim Leyritz"	0.109714
"Cliff Floyd"	0.108786
"Scott Hatteberg"	0.108489
"Tony Gwynn"	0.108281
"Brian Giles"	0.108109
"Darrin Fletcher"	0.107646
"Todd Greene"	0.107459
Beltran	0.107402
"Lee Stevens"	0.10682
"Tim Salmon"	0.10667
"Bret Boone"	0.106639
"Wilton Guerrero"	0.10654
Brogna	0.106167
McGriff	0.106086
Catalanotto	0.105644
"Dan Wilson"	0.105644
"Midre Cummings"	0.105578
Lofton	0.105032
Dunston	0.104933
"Craig Counsell"	0.104669
"Alex Rodriguez"	0.104482
"Tony Phillips"	0.104294
Furcal	0.104157
"David Segui"	0.104052
"Quinton McCracken"	0.103776
"Reggie Jefferson"	0.103682
Lieberthal	0.103656
"Chad Curtis"	0.103618
Cirillo	0.103476
Bautista	0.10334
Tejada	0.103183
"Devon White"	0.103118
"Ricky Ledee"	0.103079
Merloni	0.10301
Frye	0.102882
"Carlos Delgado"	0.102852
"Paul Konerko"	0.102801
"Tyler Houston"	0.10242
Batista	0.102237
Velarde	0.102173
"Edgar Martinez"	0.102166
Klesko	0.101767
"Javy Lopez"	0.101303
"Russ Davis"	0.101271
"F.P Santangelo"	0.101247
"Fred McGriff"	0.101023
"Trot Nixon"	0.100746
"John Jaha"	0.100609
Tatis	0.100582
"Tom Lampkin"	0.100487
"Craig Biggio"	0.100216
"Rickey Henderson"	0.100104
))
("Chris Holt" (desc 2036.35) (sims
"Scott Elarton"	0.326393
"Shane Reynolds"	0.324115
"Jay Powell"	0.30352
"Sean Bergman"	0.288833
"Doug Henry"	0.285069
"Jose Lima"	0.284306
"Brian Moehler"	0.268429
"Javier Vazquez"	0.237418
"Chris Carpenter"	0.22731
"Russ Ortiz"	0.226631
"Jason Schmidt"	0.225246
"Mike Hampton"	0.222844
"Francisco Cordova"	0.221269
"Octavio Dotel"	0.218779
"Steve Parris"	0.218202
"Billy Wagner"	0.216837
"Jon Lieber"	0.213924
"Mark Gardner"	0.213666
"Scott Karl"	0.21312
"Jamey Wright"	0.21306
"Jeff Weaver"	0.209797
"Paul Byrd"	0.20645
"John Halama"	0.202236
"Woody Williams"	0.202088
"Tom Candiotti"	0.20146
"Matt Morris"	0.200742
"Paul Abbott"	0.200611
"Pat Rapp"	0.200391
"Jason Bere"	0.199573
"Scott Erickson"	0.197601
"STEVE WOODARD"	0.194693
"Jesus Sanchez"	0.19465
"Pete Schourek"	0.192793
"John Snyder"	0.192526
"Darryl Kile"	0.185349
"Eric Milton"	0.184821
"Ron Villone"	0.184109
"Dave Burba"	0.183861
"Steve Sparks"	0.183286
"Brett Tomko"	0.183138
"Sidney Ponson"	0.18211
"Armando Reynoso"	0.181435
"Pedro Astacio"	0.181093
"Dustin Hermanson"	0.17862
"Omar Olivares"	0.177938
"Kevin Tapani"	0.177762
"Jim Parque"	0.175887
"BRIAN MEADOWS"	0.175747
"Bryce Florie"	0.175169
"Mac Suzuki"	0.173863
"Dave Mlicki"	0.173382
"Jose Jimenez"	0.171482
"Shawn Estes"	0.171441
"Mark Portugal"	0.171188
"Mike Sirotka"	0.170117
"Kirk Rueter"	0.169854
"Joey Hamilton"	0.164733
"Mike Magnante"	0.164528
"Orel Hershiser"	0.164276
"Scott Schoeneweis"	0.163024
"John Burkett"	0.162942
"Russ Springer"	0.162877
"Brad Radke"	0.161957
"Gil Heredia"	0.161694
"Jaret Wright"	0.161155
"Charles Nagy"	0.16085
"Terry Mulholland"	0.160238
"Mike Morgan"	0.160178
"Pete Harnisch"	0.159838
"Brian Anderson"	0.159417
"Danny Graves"	0.158201
"Jason Grimsley"	0.157966
"Kent Bottenfield"	0.156744
"Wilson Alvarez"	0.154187
"Andy Benes"	0.152896
"Juan Guzman"	0.152762
"Darren Dreifort"	0.151906
"Steve Trachsel"	0.151834
"Tim Hudson"	0.151647
"Mark Clark"	0.151029
Rusch	0.150882
"Pat Hentgen"	0.14964
"John Wasdin"	0.148729
"Brian Bohanon"	0.14784
"Rolando Arrojo"	0.147081
"Esteban Loaiza"	0.146818
"Brian Cooper"	0.14677
"Bill Pulsipher"	0.146638
"Ken Cloude"	0.14653
"Jin Ho Cho"	0.14566
"Tim Belcher"	0.145265
"Carl Pavano"	0.145208
"Jason Dickson"	0.144382
"Bartolo Colon"	0.144012
"Kevin Appier"	0.143399
"Brian Rose"	0.143218
"Jamie Moyer"	0.14198
"Donne Wall"	0.140751
"Ryan Dempster"	0.140576
"Livan Hernandez"	0.139919
"Masato Yoshii"	0.138479
"Jason Isringhausen"	0.138102
"John Hudek"	0.138093
"Alex Fernandez"	0.137675
"Mark Petkovsek"	0.137664
"Freddy Garcia"	0.136435
"Willie Blair"	0.135741
"Shigetoshi Hasegawa"	0.135596
"DOUG JONES"	0.135535
"Dwight Gooden"	0.135463
"Frankie Rodriguez"	0.133847
"Kent Mercker"	0.133829
"Gil Meche"	0.13359
"Paul Shuey"	0.13354
"Ricky Bottalico"	0.133074
"Rick Reed"	0.131584
"Al Levine"	0.131399
"Vladimir Nunez"	0.130995
"Jarrod Washburn"	0.130825
"Omar Daal"	0.130491
"Drayton McLane Jr."	0.130468
"Chuck McElroy"	0.129995
"Rich Garces"	0.129233
"Rick Helling"	0.128897
"Brett Hinchliffe"	0.128831
"Ramiro Mendoza"	0.127799
"Jeff Nelson"	0.127485
"Chan Ho Park"	0.127301
"Todd Stottlemyre"	0.127265
"Scott Williamson"	0.127099
"Ismael Valdes"	0.125694
"Aaron Sele"	0.12541
"Alan Embree"	0.125023
"John Smoltz"	0.124992
"Mike Mussina"	0.124722
"Ramon Ortiz"	0.124707
"Jeff Fassero"	0.124271
"Kevin Millwood"	0.123873
"Rick Aguilera"	0.123818
"Andy Ashby"	0.12375
"Rick White"	0.123722
"Ramon Martinez"	0.123383
"Denny Neagle"	0.12325
"Kerry Ligtenberg"	0.122682
"Billy Taylor"	0.122657
"Doug Davis"	0.122644
"Randy Myers"	0.122582
"Chuck Finley"	0.122415
"James Baldwin"	0.122362
"Ryan Glynn"	0.121404
"Hideo Nomo"	0.121234
"Dan Miceli"	0.121148
"Mark Leiter"	0.121038
"Hideki Irabu"	0.120762
Benes	0.120738
"Mike Remlinger"	0.120735
"Ken Hill"	0.119978
"Brad Penny"	0.119291
Hentgen	0.118562
"Mike Williams"	0.118073
"Derek Lowe"	0.117937
Harnisch	0.117906
"Pat Mahomes"	0.117687
"Heathcliff Slocumb"	0.117572
"Scott Sullivan"	0.117122
"Bobby Jones"	0.117056
"Seth Etherton"	0.11697
"Kevin McGlinchy"	0.116699
Mercker	0.116229
"Richard Hidalgo"	0.116136
"Justin Thompson"	0.116123
Hermanson	0.116048
"Byung-Hyun Kim"	0.115558
"Brian Williams"	0.115207
"Steve Avery"	0.11516
"Tom Glavine"	0.11503
"Armando Benitez"	0.114975
Candiotti	0.114615
"Mark Langston"	0.113823
"Jose Mesa"	0.113774
"Carlos Perez"	0.113602
"Bret Saberhagen"	0.113329
"Terry Adams"	0.113046
"Odalis Perez"	0.11298
"Orlando Hernandez"	0.112099
"Kazuhiro Sasaki"	0.111926
"Jesse Orosco"	0.11187
"Troy Percival"	0.110562
"Tim Wakefield"	0.110353
"Bruce Chen"	0.109986
"Larry Dierker"	0.109933
Kile	0.109487
"Mike Timlin"	0.1093
"Rich Rodriguez"	0.109293
"Matt Herges"	0.108741
"Greg Swindell"	0.108522
"Jack McDowell"	0.108349
"Al Leiter"	0.108279
"Curt Schilling"	0.108174
"Robb Nen"	0.108173
Mlicki	0.107799
Radke	0.107681
"Paul Spoljaric"	0.107025
"Jamie Arnold"	0.10691
"Pedro Borbon"	0.106703
"Darren Oliver"	0.106184
"Robinson Checo"	0.105926
"Dennis Cook"	0.104855
"Arthur Rhodes"	0.104785
Fassero	0.104489
"Matt Perisho"	0.104398
"Rudy Seanez"	0.103366
Bere	0.102668
Trachsel	0.102283
"Jose Paniagua"	0.1009
"Matt Mantei"	0.100776
Parris	0.100761
"Antonio Osuna"	0.100375
))
("Chris Johnson" (desc 1331.7) (sims
"Meg Mallon"	0.245329
"Pat Hurst"	0.204423
"Dottie Pepper"	0.190636
"Kelly Robbins"	0.18588
"Donna Andrews"	0.185339
"Juli Inkster"	0.152295
"Helen Alfredsson"	0.143916
"Karrie Webb"	0.140796
"Sherri Steinhauer"	0.122336
"Laura Davies"	0.111655
"Annika Sorenstam"	0.111025
"Brandie Burton"	0.109708
"Nancy Lopez"	0.0991162
"Se Ri Pak"	0.0849835
"Liselotte Neumann"	0.0772085
"Betsy King"	0.0731222
"Dez White"	0.0674834
"J.P. Hayes"	0.0661084
"Kevin Johnson"	0.0659249
"Peerless Price"	0.065267
"Roy Jones Jr."	0.0652027
"Yancey Thigpen"	0.0649851
"Dwayne Goodrich"	0.0643852
"Kevin Williams"	0.0637096
"Bill Glasson"	0.0618664
"Larry Nelson"	0.0606986
"Aaron Glenn"	0.0558871
"Darrell Green"	0.055028
"Windrell Hayes"	0.0548188
"Peter Rasmussen"	0.0538568
Bly	0.0532068
"Tim Dwight"	0.0530914
"Jean-Philippe Gatien"	0.0526381
"Chris Taylor"	0.0521766
"Mario Edwards"	0.0508922
"Oronde Gadsden"	0.0508302
"Hale Irwin"	0.0505933
"Charles Woodson"	0.0495073
"Carl Pickens"	0.0485356
Arthurs	0.0483651
"Dinah Shore"	0.047826
"Bruce Fleisher"	0.047248
Hurst	0.0471029
"Mark Calcavecchia"	0.0468038
"Olli Jokinen"	0.0457577
Laperriere	0.0457062
"Champ Bailey"	0.0455482
"Doug Bodger"	0.0452707
"David Boston"	0.0451485
"Partizan Belgrade"	0.0443437
"Filip Dewulf"	0.0443266
"Sam Madison"	0.0440658
"Brian Poli-Dixon"	0.0440076
"Tara Snyder"	0.0439961
"Michael Booker"	0.0433813
"Arnaud Clement"	0.0430328
Longo	0.0429763
"Andre Rison"	0.0429428
"BRIAN MEADOWS"	0.0425651
"Joko Suprianto"	0.0422664
"Rodney Eyles"	0.0421867
"Allen Doyle"	0.0421811
"Wane McGarity"	0.0416238
"Tim Brown"	0.0415427
"Jorgen Persson"	0.0412249
"Arnaud Di Pasquale"	0.0410883
"Raghib Ismail"	0.0410748
"Kevin Dyson"	0.0409769
"Marcell Allmond"	0.0408312
Alfredsson	0.040486
"Amani Toomer"	0.0403829
Yoon	0.0400992
))
("Chris Klein" (desc 2258.05) (sims
"Mena Suvari"	0.141297
"Luigi Di Biagio"	0.0957038
"Kris Kristofferson"	0.0900757
"Thomas Haessler"	0.0878981
"Jeremy Irons"	0.0870338
"Joan Allen"	0.0849002
"Tony Meola"	0.0794575
"Richard Dreyfuss"	0.0776548
"Ethan Hawke"	0.0767765
"Jamie Foxx"	0.0762409
"Kevin Bacon"	0.0752786
"Tab Ramos"	0.074974
"James Stewart"	0.0748658
"Eric Wynalda"	0.0743983
"Aidan Quinn"	0.0740997
"Matthew Broderick"	0.0731646
"Sela Ward"	0.0706641
"Sigourney Weaver"	0.0691961
"Kathleen Turner"	0.0686069
"Catherine Deneuve"	0.0665794
Braugher	0.0655229
"Chow Yun-Fat"	0.0652379
Broderick	0.0650872
"Kirsten Dunst"	0.0646171
"James Van Der Beek"	0.0645755
"Ben Olsen"	0.0636915
"John Malkovich"	0.0635304
"Vivien Leigh"	0.0633789
"Robert Pires"	0.062934
"Martin Lawrence"	0.0626408
"Sidney Poitier"	0.0624049
Preki	0.0622546
"Brendan Fraser"	0.0619151
"Roy Lassiter"	0.0619085
"Carlos Valderrama"	0.061778
"Hidetoshi Nakata"	0.0616491
"Wesley Snipes"	0.0615283
"Henry Fonda"	0.0610516
Thu	0.0607988
"James Earl Jones"	0.060625
Villareal	0.0603504
"Burt Lancaster"	0.0600661
"Ally Sheedy"	0.0595941
"Marcelo Balboa"	0.0595498
"Spencer Tracy"	0.0594583
"Alexi Lalas"	0.0592827
"Oliver Platt"	0.0587901
Harman	0.0587411
"Sally Field"	0.0585668
"Ian Holm"	0.0575975
Cleese	0.0574952
"Joe-Max Moore"	0.0568165
"Alicia Silverstone"	0.0568139
"John Harkes"	0.0565712
"Robert DeNiro"	0.0560888
"Robert Carlyle"	0.0559981
"Steve McQueen"	0.0558528
"Val Kilmer"	0.0556929
"Jessica Lange"	0.0556187
"Keanu Reeves"	0.0554279
"Albert Brooks"	0.0553985
"Mauricio Ramos"	0.0552656
"William Hurt"	0.0552153
Costner	0.0551644
"Edward Furlong"	0.0547408
"Lauren Bacall"	0.0543326
"Dejan Stankovic"	0.0543297
"Kim Basinger"	0.0543234
"Halle Berry"	0.0542765
Polgar	0.0542066
"Jon Voight"	0.0541731
Sissi	0.0541604
"Emily Watson"	0.0540227
"Kelsey Grammer"	0.0540215
"James McKnight"	0.0538526
"Diego Simeone"	0.0534485
"Tom Selleck"	0.0532156
"Brenda Blethyn"	0.0531539
"Natalie Portman"	0.0528029
"Edward Norton"	0.0525579
"Kirk Douglas"	0.0525092
"Jimmy Stewart"	0.0524987
"Sarah Michelle Gellar"	0.0520955
"Tracey Ullman"	0.0520101
"Richard Burton"	0.0518692
"Ed Harris"	0.0517807
"Diane Keaton"	0.0516228
"Dejan Savicevic"	0.0514653
Djorkaeff	0.0514538
"Heather Graham"	0.0514225
"Vanessa Redgrave"	0.0512398
"Marco Etcheverry"	0.0511092
"Holly Hunter"	0.0509547
"Rupert Everett"	0.0509319
"Kate Winslet"	0.0509316
"Nathan Lane"	0.050842
"Roberto Benigni"	0.0507858
"Boomer Esiason"	0.05074
"Paul Ince"	0.0505842
"Sarah Jessica Parker"	0.0505355
"Matthew McConaughey"	0.0504562
"Greg Kinnear"	0.0504429
"Nia Long"	0.0503079
"Chevy Chase"	0.0501713
"Jeff Daniels"	0.0500848
"Julie Andrews"	0.0500083
"Pierce Brosnan"	0.0498638
"Richard Gere"	0.0497807
"Eddie Lewis"	0.0496208
"Johnny Depp"	0.0496153
"Dame Judi Dench"	0.049579
"Neve Campbell"	0.0495454
"Geoffrey Rush"	0.0495447
Bergkamp	0.0495339
"Tobey Maguire"	0.0495264
"Robert Prosinecki"	0.0492639
"Chloe Sevigny"	0.0492521
"Ziggy Palffy"	0.0492395
"Helen Mirren"	0.0492335
"Elizabeth Hurley"	0.0491893
"Bernadette Peters"	0.0491261
"Kevin Jordan"	0.0490304
"Jason Alexander"	0.0490291
"Juliette Lewis"	0.0490167
"Rob Lowe"	0.0487352
"Brian Dennehy"	0.0485944
"Yang Wei"	0.0484739
"Nigel Hawthorne"	0.0483229
"Bill Pullman"	0.0482402
"Cate Blanchett"	0.0480716
"Sandra Bullock"	0.048007
"Shirley MacLaine"	0.0479521
"Famke Janssen"	0.0477594
"Gheorghe Hagi"	0.0477187
"Christian Bale"	0.0475397
forman	0.0475073
"Harry Kewell"	0.0474916
"Angela Bassett"	0.0474611
"Luis Figo"	0.0474511
"John Collins"	0.04743
"Michael J. Fox"	0.047422
Jair	0.0472855
Juninho	0.0472158
"Janet McTeer"	0.0471803
"Eric Murdock"	0.0471528
"Fan Zhiyi"	0.0471453
tomboy	0.047085
"Damian Jackson"	0.047072
"Cobi Jones"	0.0470695
"Mark Wahlberg"	0.0469419
"James Cagney"	0.0468329
Sealy	0.0467322
"Paul Merson"	0.046723
"Bette Midler"	0.0467069
"Uma Thurman"	0.0465829
Deneuve	0.0464869
"Kristine Lilly"	0.0464413
"Nicole Kidman"	0.0463867
"John Cusack"	0.04632
"Norm MacDonald"	0.0462846
"Phillip Cocu"	0.0462589
"Demi Moore"	0.0462109
"Jyrki Lumme"	0.0461702
Sim	0.0461442
"John Leguizamo"	0.046139
"Stephen Rea"	0.0461241
"Billy Crudup"	0.046092
"James Woods"	0.0459889
"Gabriel Byrne"	0.0459107
"Antonio Banderas"	0.045856
"Bette Davis"	0.0457036
"Leelee Sobieski"	0.0455087
Gatling	0.0454394
"Ewan McGregor"	0.045339
"Christopher Reeve"	0.045258
"Jack Lemmon"	0.0452543
"Robert Redford"	0.0451441
"Paul Newman"	0.045102
"Renee Fleming"	0.0450907
"Ashley Judd"	0.0450045
"Stanley Tucci"	0.0446717
"JOHN TURTURRO"	0.0445835
"Fernando Hierro"	0.0445745
"John Belushi"	0.0445591
Wynalda	0.0444696
"Gary Cooper"	0.0444651
Connery	0.0444174
Alaves	0.0442671
Hagi	0.0439085
"Danny DeVito"	0.0438385
"Predrag Mijatovic"	0.0437796
"Jodie Foster"	0.043561
"Matthew Perry"	0.0434643
"Isaac Stern"	0.0434562
"Reese Witherspoon"	0.0434197
"Joseph Fiennes"	0.0433369
"Harvey Keitel"	0.043306
"Gregory Peck"	0.0432774
"Alfre Woodard"	0.0431188
"Russell Crowe"	0.0430846
))
("Chris McAlister" (desc 1126.67) (sims
"Darrell Green"	0.203052
"Dwayne Goodrich"	0.189031
"Michael Booker"	0.170334
"Aeneas Williams"	0.165456
"Charles Woodson"	0.16094
Bly	0.157479
"Mario Edwards"	0.156312
"Otis Smith"	0.141706
"Dale Carter"	0.139137
"Ronnie Bradford"	0.137731
"Sam Madison"	0.137503
"Jason Sehorn"	0.127683
"Ty Law"	0.124441
"Marques Anderson"	0.121701
"Tebucky Jones"	0.121205
"Kevin Mathis"	0.120305
"Jason Bell"	0.119686
"Phillippi Sparks"	0.118169
"Chris Canty"	0.11749
"Champ Bailey"	0.117115
"Aaron Glenn"	0.115565
"Steve Israel"	0.114902
"David Boston"	0.113562
"Darrien Gordon"	0.10877
"Antonio Langham"	0.106395
"Ryan Roques"	0.104685
"Trung Canidate"	0.0999938
"Dave Thomas"	0.0994167
"Ray Buchanan"	0.0940023
"Keith Smith"	0.0921555
"Charlie Williams"	0.0894183
"Tony George"	0.0853889
"Skip Hicks"	0.083753
"Richard Jefferson"	0.081417
"Deion Sanders"	0.079648
"Michael Wright"	0.0784815
"Thomas Jones"	0.0774628
"Larry Brown"	0.0727597
"Jason Terry"	0.0725843
Kearse	0.0718164
"Quincy Carter"	0.0713439
"Sebastian Janikowski"	0.0707322
Woodson	0.0691059
"Ortege Jenkins"	0.0658571
"Mike Bibby"	0.0658342
"Greg Ellis"	0.0646356
"Andre Wadsworth"	0.0639457
"Lee Nailon"	0.063664
"Kevin Smith"	0.0632038
"Andy Katzenmoyer"	0.0630618
"Cade McNown"	0.0616442
"Matt Salmon"	0.0605981
"Mike Brown"	0.0603603
"LaVar Arrington"	0.0598079
"Chris Claiborne"	0.0594032
"Byung-Hyun Kim"	0.0570262
"Edgerrin James"	0.0564372
"Tom Brady"	0.0564367
"Rae Carruth"	0.0561717
Stepanova	0.0558312
"Peter Warrick"	0.0552807
"Eric Whitfield"	0.055208
"Jermaine Lewis"	0.0545401
"Dez White"	0.054081
"Mike Cloud"	0.0539688
"Devean George"	0.0526431
"Simeon Rice"	0.0523771
"Erubiel Durazo"	0.0522122
"Tim Couch"	0.0516783
"Tim Dwight"	0.0506366
Langham	0.0505597
"John Avery"	0.050016
"Leon Smith"	0.0499338
"Kyle Brady"	0.0495098
"Jim Harbaugh"	0.0484933
"Scotty Bowman"	0.0484792
"Mateen Cleaves"	0.0474747
"Bo Jackson"	0.0473634
"Dave McGinnis"	0.0472627
"Eric Zeier"	0.0470714
"Jimmy Spencer"	0.0469361
"John Tait"	0.046732
"Dedric Ward"	0.0466033
"Barry Goldwater"	0.0460919
"Rod Smith"	0.0455064
"Jeff Weaver"	0.0451207
"Andre Miller"	0.0450495
"L.J Shelton"	0.0439392
Suppan	0.0439164
Maggette	0.0438979
"Curtis Enis"	0.0438483
"Antawn Jamison"	0.0430059
Joyner-Kersee	0.0430056
"Shawn Marion"	0.0429783
"Robert Edwards"	0.0424385
"Patrik Stefan"	0.0422518
"Kevin Faulk"	0.0422037
"Michael Westbrook"	0.0409315
"Wally Szczerbiak"	0.0408861
"Darius Miles"	0.0408279
"Gregg Olson"	0.0408163
"Walter Zenga"	0.0406004
"Elton Brand"	0.0404856
"Ebenezer Ekuban"	0.0403697
"Pat Burrell"	0.0402382
))
("Chris McCarron" (desc 3774.37) (sims
"Pat Day"	0.341009
"Gary Stevens"	0.321941
"Alex Solis"	0.303188
"Kent Desormeaux"	0.289371
"David Flores"	0.276161
"Corey Nakatani"	0.266885
"Jorge Chavez"	0.242115
"Jerry Bailey"	0.237967
"Chris Antley"	0.207643
"Bill Shoemaker"	0.179541
"Laffit Pincay"	0.168393
"Mike Smith"	0.103868
McCarron	0.102164
"Bob Baffert"	0.0959915
jockey	0.0952337
Pincay	0.0798951
"D. Wayne Lukas"	0.0702821
"Prime Timber"	0.0678172
"Neil Drysdale"	0.0656911
"Richard Virenque"	0.0601807
shoemaker	0.057947
Budroyale	0.0544202
"Cat Thief"	0.0516698
Solis	0.0515508
"Desert Hero"	0.0505279
Julich	0.0500437
"Bobby Julich"	0.0493642
Jalabert	0.0490932
"Alex Zuelle"	0.0490868
Anees	0.0473814
"Jim Harrick"	0.0471307
submariner	0.0467161
Torvalds	0.0465551
"Silver Charm"	0.046175
Baffert	0.0456173
"Marco Pantani"	0.0443816
Desormeaux	0.0443802
Seizinger	0.0443607
"Real Quiet"	0.0439634
"Fusaichi Pegasus"	0.0429725
"Lance Armstrong"	0.0429343
Virenque	0.0402905
Coley	0.0402637
Svorada	0.040176
"Strobe Talbott"	0.0401474
"Old Dominion"	0.0400443
))
("Chris Mihm" (desc 2347.18) (sims
"Gabe Muoneke"	0.230275
Mihm	0.183995
"Kris Clack"	0.168596
"Marcus Fizer"	0.1463
"Etan Thomas"	0.146111
"Wang Zhizhi"	0.145287
"Lisa Leslie"	0.128377
"Yolanda Griffith"	0.128136
"Vitaly Potapenko"	0.125714
"Todd MacCulloch"	0.120988
"Kenyon Martin"	0.120042
"Jennifer Gillom"	0.118979
"David Robinson"	0.11534
"Damien Woody"	0.115242
"Michael Olowokandi"	0.11211
"Yao Ming"	0.108906
"Manny Malhotra"	0.106183
Fizer	0.105665
"Rik Smits"	0.10489
"Cliff Ronning"	0.102988
"Vlade Divac"	0.102847
"Elton Brand"	0.102349
"Doug Weight"	0.102137
Sabonis	0.0936308
"Olden Polynice"	0.0933801
"Travis Green"	0.0924482
"Jerome Moiso"	0.091608
"Sean Rooks"	0.0914464
"Jake Voskuhl"	0.0899471
"Dikembe Mutombo"	0.0898169
"Derrick Coleman"	0.0883458
"Adam Oates"	0.0871
"Keith Primeau"	0.0867138
Muoneke	0.08619
"Jamie Feick"	0.0852261
"Ron Francis"	0.0847294
"Dave Wohlabaugh"	0.0844702
"Darius Miles"	0.0840326
"Ian Laperriere"	0.0839233
Abdur-Rahim	0.0837696
"Yanic Perreault"	0.0827951
"Robert Reichel"	0.0815381
"Bryan Smolinski"	0.0811581
"Olli Jokinen"	0.0809597
"Brian Scalabrine"	0.0805027
"Vladimir Stepania"	0.0802819
"Shawn Bradley"	0.0797263
"Bobby Holik"	0.0795555
"Jeremy Roenick"	0.0793604
"Eric Lindros"	0.0790346
Najera	0.078682
"Steve Yzerman"	0.0785273
"Ray Ferraro"	0.0778848
"Steve Rucchin"	0.0769587
"Arvydas Sabonis"	0.076649
"DeLisha Milton"	0.0761023
"Patrik Stefan"	0.0757665
"Jonathan Bender"	0.0753852
"Jim McIlvaine"	0.0753531
"Major Applewhite"	0.0752744
"Tim Taylor"	0.0748473
"Brad Miller"	0.0737352
"Bob Corkum"	0.0732569
"Curtis Brown"	0.0727976
"Alonzo Mourning"	0.0726876
"Ante Razov"	0.0723333
"Dan Gadzuric"	0.0719217
"Natalie Williams"	0.0715213
"Guy Carbonneau"	0.0712703
"Bruce Matthews"	0.0712328
"Aaron Gavey"	0.0711935
"Jozef Stumpel"	0.0703465
"Courtney Alexander"	0.0702301
"Kelvin Cato"	0.0696328
"Mark Stepnoski"	0.0693673
Mims	0.0693126
"Jason Arnott"	0.0692642
Olowokandi	0.0688554
"Morris Peterson"	0.0683777
"Vincent Damphousse"	0.0679688
"Patrick Ewing"	0.0679265
Cullen	0.0678247
"Greg Ostertag"	0.0675789
"Hakeem Olajuwon"	0.0669977
"Michael Peca"	0.066601
"Ken Johnson"	0.0664913
"Pierre Turgeon"	0.0661547
Scalabrine	0.0660453
"Shaquille O'Neal"	0.064887
"Lee Nailon"	0.0647143
"Rony Seikaly"	0.0646816
"Shaun Alexander"	0.0646501
"Kenny Thomas"	0.0644592
"Jayson Williams"	0.0643934
"Scot Pollard"	0.06438
Bautista	0.0638074
Kittles	0.0636889
"Kevin Freeman"	0.0635411
"Matt Geiger"	0.0633985
"Joe Sakic"	0.0633859
"Sergei Fedorov"	0.0626769
"John LeClair"	0.0621437
"Joe Juneau"	0.0618488
Dele	0.0618415
"Doug Gilmour"	0.0617578
"Dale Hunter"	0.061551
"Tony Battie"	0.0614307
"Zydrunas Ilgauskas"	0.0612267
"Wane McGarity"	0.061064
Croshere	0.0610466
"Roy Lassiter"	0.0608203
"Joe Thornton"	0.0607361
"Peter Forsberg"	0.0606947
"Alexei Yashin"	0.060571
Barrie	0.060545
"Travis Knight"	0.0604495
"Tiffeny Milbrett"	0.0602149
Sykora	0.0601272
"Mats Sundin"	0.0600246
Laperriere	0.0599882
"Ike Austin"	0.0599438
"Shawn Kemp"	0.0596186
"Kevin Willis"	0.0596066
Primeau	0.0594477
"Luc Longley"	0.0590428
Stumpel	0.0586303
Longley	0.0586215
"Jason Allison"	0.0585561
"Steve Francis"	0.0583098
"Tony Hrkac"	0.0581909
"Erick Barkley"	0.0580588
"Petr Sykora"	0.0579093
"Richard Hamilton"	0.057826
"Petr Nedved"	0.0576041
Modano	0.0575232
"Elden Campbell"	0.0575007
"Jermaine O'Neal"	0.0573155
"Will Perdue"	0.0572119
"Joe Kleine"	0.0571963
Zheng	0.0568898
"Alexei Kovalev"	0.0566385
"Raef LaFrentz"	0.0565194
"Donyell Marshall"	0.0561751
"Damian Jackson"	0.0559014
"Pavol Demitra"	0.05582
"Carlos Hermosillo"	0.0558187
Gillom	0.0557589
"Chris Anstey"	0.0557223
"Igor Larionov"	0.0555772
"Bill Wennington"	0.0554494
"Chamique Holdsclaw"	0.0553894
"Wally Szczerbiak"	0.0550524
Klinsmann	0.0549448
"Chris Taylor"	0.0549415
"Theo Ratliff"	0.0548615
"JaRon Rush"	0.0548601
"Tim Duncan"	0.0546035
"Mike Miller"	0.0542451
Nesby	0.0540357
"Scott Thornton"	0.0535756
"Greg Adams"	0.0535466
Womack	0.0534624
"Bill Walton"	0.053399
"Ron Artest"	0.0533766
"John Salley"	0.0533599
"Kevin Garnett"	0.0532443
Gilmour	0.0531307
Preki	0.0531297
Kemp	0.0531016
"Darrell Armstrong"	0.0530631
"John Connally"	0.0530231
"Austin Croshere"	0.0529764
"Andre Miller"	0.0529472
"Oliver Miller"	0.0528456
"Bobby Phills"	0.052839
"Horace Grant"	0.0528134
"Maurice Taylor"	0.0523334
Wondertross	0.0523264
"Mack Brown"	0.0522742
Hightower	0.052273
El-Amin	0.052174
"Juha Ylonen"	0.0520826
"Chris Drury"	0.0520071
"Joe Nieuwendyk"	0.0519945
"Kerry Kittles"	0.0514382
Parris	0.0514351
"Dale Davis"	0.0513469
"Robert Traylor"	0.0512531
"Charlie Ward"	0.0512381
Irvan	0.0511707
"Shane Battier"	0.0511444
"Mike Sullivan"	0.0510892
"Sheryl Swoopes"	0.0510722
"Mateen Cleaves"	0.0510429
"Woody Williams"	0.0509096
Turgeon	0.050849
"Scott Gomez"	0.0508471
Gatling	0.0508274
Asprilla	0.0506519
White-McCarty	0.0505408
))
("Chris Mills" (desc 2245.45) (sims
"Terry Cummings"	0.248428
"John Starks"	0.206988
"Donyell Marshall"	0.183689
"Charles Oakley"	0.179423
"Charlie Ward"	0.168062
"Kurt Thomas"	0.167877
"Antawn Jamison"	0.154681
"Chris Childs"	0.151331
"Herb Williams"	0.148694
"Marcus Camby"	0.1454
"Danny Fortson"	0.144485
"Buck Williams"	0.144348
"Anthony Mason"	0.137339
"P.J Brown"	0.137116
"Jarvis Turner"	0.131399
"Larry Johnson"	0.130994
"Bimbo Coles"	0.125346
"Paul Pierce"	0.125115
"Derrick Coleman"	0.12486
"Theo Ratliff"	0.124432
"Grant Long"	0.121766
"Richard Jefferson"	0.118237
"Lamond Murray"	0.116856
"Brian Skinner"	0.115768
"Antonio Davis"	0.115614
"Chris Gatling"	0.113988
"Raef LaFrentz"	0.113293
"Allan Houston"	0.11083
"Kris Clack"	0.109214
"Clarence Weatherspoon"	0.108748
"Elden Campbell"	0.10792
"Gabe Muoneke"	0.106928
"Matt Harpring"	0.106131
"Walt Williams"	0.106115
"Ruben Patterson"	0.104165
"Juwan Howard"	0.102458
"Shawn Marion"	0.102079
"Cedric Ceballos"	0.101821
"Chris Dudley"	0.101627
"Jerry Stackhouse"	0.100735
"Dale Ellis"	0.100536
"Maurice Taylor"	0.100518
"Pat Garrity"	0.100161
"Kevin Freeman"	0.099722
"J.R Reid"	0.099677
"Alexei Kovalev"	0.0994744
"Scot Pollard"	0.0988828
"Kendall Gill"	0.0988409
"Ron Mercer"	0.0986443
"Tom Gugliotta"	0.0984921
"Michael Wright"	0.0975099
"Chris Crawford"	0.097287
"John Wallace"	0.0960845
"Chris Carrawell"	0.0959291
"Robert Traylor"	0.0957891
"Tamika Catchings"	0.0957657
"Tracy McGrady"	0.0956689
"Billy Owens"	0.0953759
"Alan Henderson"	0.0941096
"Rick Fox"	0.0935626
"Mike Miller"	0.0933795
"Othella Harrington"	0.0926712
"Glenn Robinson"	0.0925924
"Christian Laettner"	0.0925211
"Tim Thomas"	0.0924437
"Ante Razov"	0.0923398
"Gary Trent"	0.0912986
"Corliss Williamson"	0.0912403
"Larry Hughes"	0.0910671
"Stern John"	0.0908968
"Michael Finley"	0.090866
"Chris Porter"	0.0903251
"Robert Horry"	0.0890413
"Samaki Walker"	0.0889827
"Danny Manning"	0.0889232
"Clifford Robinson"	0.0887432
"Nick Anderson"	0.0884015
"Tariq Abdul-Wahad"	0.0880169
"Bob Sura"	0.086933
"Jamal Mashburn"	0.0863499
"Sean Farnham"	0.0863142
"Morris Peterson"	0.0856505
"Jalen Rose"	0.0855566
"Matthew Barnaby"	0.0850871
"Dale Davis"	0.0845526
"Joe Smith"	0.084258
"Brian Grant"	0.0838409
"Otis Thorpe"	0.0837296
"Keith Van Horn"	0.0827802
"Latrell Sprewell"	0.0826337
"Vince Carter"	0.082324
"Mark Madsen"	0.0818186
"Ron Artest"	0.0816899
"George McCloud"	0.0814825
"Sam Clancy"	0.0814726
"Tyrone Nesby"	0.0812797
"Rick Tocchet"	0.0812089
"Bill Guerin"	0.0810154
"Jerome Kersey"	0.0806562
"Joe Juneau"	0.0806139
"Antoine Walker"	0.0802774
"Rashard Lewis"	0.0800519
"Devean George"	0.0797877
"Glen Rice"	0.0793819
"Patrick Ewing"	0.0791681
"A.C. Green"	0.0786853
"Jerome Moiso"	0.0784944
"Sean Rooks"	0.0778048
"DeLisha Milton"	0.0775018
"Rod Strickland"	0.077456
"Brian Scalabrine"	0.0774219
"Shawn Kemp"	0.0769001
"Rodney Rogers"	0.0768992
"Malik Sealy"	0.0768559
"Rico Hines"	0.0764372
"JaRon Rush"	0.076383
"Jason Kapono"	0.0763316
"Hu Weidong"	0.0761169
"Kenny Thomas"	0.0753112
"Greg Adams"	0.0749411
"Sam Perkins"	0.0749138
"CORIE BLOUNT"	0.0747997
"Adrian Griffin"	0.0742532
"Brian McBride"	0.0741033
"Brian Rolston"	0.0740663
"Jermaine O'Neal"	0.0732593
"Kenyon Martin"	0.0727117
"Derek Harper"	0.0724235
"Mike Sullivan"	0.0724042
"Marcus Fizer"	0.0723913
"Tony Battie"	0.0723748
"John Salley"	0.0719134
"Aaron Williams"	0.0718446
"Travis Best"	0.0717901
"Shane Doan"	0.0714509
"Eric Wynalda"	0.0714097
"Ray Allen"	0.0713623
"Jumaine Jones"	0.0712308
"Sheryl Swoopes"	0.0712022
"Matt Bullard"	0.0711365
"Travis Knight"	0.0710915
"Bryon Russell"	0.071076
"SCOTT BURRELL"	0.0710329
"Raul Diaz Arce"	0.0709329
"Shane Battier"	0.0709242
"Alen Boksic"	0.0706839
"Rasheed Wallace"	0.0705404
"Bruce Bowen"	0.0702106
"Don Maclean"	0.070138
"Dennis Scott"	0.0700469
Gugliotta	0.0699564
"Horace Grant"	0.0696613
"Richard Hamilton"	0.0694441
"Kevin Willis"	0.0691201
"Blake Sloan"	0.0684012
"Toni Kukoc"	0.0683962
"Tore Andre Flo"	0.0683872
"Ziggy Palffy"	0.067959
"Doug Christie"	0.0676305
"Brendan Shanahan"	0.0673152
"Hao Haidong"	0.0668954
"Todd Harvey"	0.0666495
"Pat Verbeek"	0.0662331
"Valeri Kamensky"	0.066215
"Mark Bryant"	0.0656045
"Nick Van Exel"	0.0653803
"Robert Pack"	0.0651948
"Dan Majerle"	0.0650894
"Geoff Sanderson"	0.0650067
"Antonio McDyess"	0.0649886
"Rony Seikaly"	0.0646387
"Matt Barnes"	0.0644603
"Jeff Friesen"	0.0642564
"Patrik Elias"	0.0641239
"Theo Fleury"	0.0640463
"Keith Tkachuk"	0.06403
"Ian Wright"	0.0639592
"Stephon Marbury"	0.0639387
"Shannon MacMillan"	0.0638665
"Sergei Fedorov"	0.0636787
"Vin Baker"	0.063623
"Predrag Mijatovic"	0.063034
"Carlos Rogers"	0.0627342
"Detlef Schrempf"	0.0625305
"Chris Anstey"	0.0624093
"Austin Croshere"	0.0622611
"Etan Thomas"	0.0622486
"Chris Webber"	0.0622151
"Milan Hejduk"	0.0621327
"Sean Elliott"	0.0619577
"Scottie Pippen"	0.0613985
"Ali Daei"	0.0610365
"Wally Szczerbiak"	0.0610254
"Dallas Drake"	0.0607655
"Brevin Knight"	0.0607505
"Chris Mullin"	0.0607492
"Lorenzen Wright"	0.0607214
"Tony Amonte"	0.0607081
"Isaiah Rider"	0.060645
"Dana Barros"	0.060059
))
("Chris Mullin" (desc 2697.41) (sims
"Rik Smits"	0.306948
"Travis Best"	0.294439
"Austin Croshere"	0.265104
"Mark Jackson"	0.246953
"Dale Davis"	0.244698
"Jalen Rose"	0.238734
"Reggie Miller"	0.226828
"Antonio Davis"	0.204722
"Sam Perkins"	0.197071
Croshere	0.189841
"Juwan Howard"	0.150668
"Anfernee Hardaway"	0.143114
"Mitch Richmond"	0.142614
Smits	0.141147
"Dan Majerle"	0.137638
"Detlef Schrempf"	0.135804
Mullin	0.12609
"Dale Ellis"	0.120938
"Dennis Scott"	0.118732
"Dominique Wilkins"	0.114455
"Hersey Hawkins"	0.106001
"Rod Strickland"	0.105572
"Vin Baker"	0.103287
"Charles Barkley"	0.102565
"Dikembe Mutombo"	0.102459
"Jamal Mashburn"	0.101509
"Herb Williams"	0.100504
"Tony Massenburg"	0.100452
"Sam Cassell"	0.099945
"Otis Thorpe"	0.0984395
"Kendall Gill"	0.0957516
"Brian Grant"	0.0955283
"Hu Weidong"	0.095416
"Allan Houston"	0.0938768
"Richard Jefferson"	0.0925395
"Gary Payton"	0.092379
"Jermaine O'Neal"	0.0915721
"Steve Smith"	0.0913607
"Robert Horry"	0.0911901
"Charles Oakley"	0.0905745
"Penny Hardaway"	0.0904462
"Bryon Russell"	0.0890373
"Al Harrington"	0.0883927
"Grant Hill"	0.0881122
"Tim Hardaway"	0.0866316
"Alonzo Mourning"	0.0859331
"Shawn Kemp"	0.0857827
"Terry Cummings"	0.0855842
"Danny Manning"	0.0853005
"Jonathan Bender"	0.0838943
"Grant Long"	0.0836744
"Greg Anthony"	0.0833181
"Michael Finley"	0.0824964
"Jamie Feick"	0.0823138
"Nick Anderson"	0.0817636
"Jerry Stackhouse"	0.0804836
"Terry Porter"	0.0802492
"Derek Harper"	0.0801857
"Corliss Williamson"	0.0792207
"Kurt Thomas"	0.0791924
"John Stockton"	0.079002
"Brevin Knight"	0.0789726
"P.J Brown"	0.0781721
"Patrick Ewing"	0.0779045
"Ian Wright"	0.0778476
"Jeff Hornacek"	0.077818
"Dale Hunter"	0.077467
"Tyronn Lue"	0.0769796
"Carlos Hermosillo"	0.0769313
"Jaren Jackson"	0.0768213
"A.C. Green"	0.0765974
"Arvydas Sabonis"	0.0764644
"Joe Juneau"	0.0762543
"Jeff Trepagnier"	0.0762098
"Shandon Anderson"	0.0760863
"Tracy McGrady"	0.0759315
"Scot Pollard"	0.0755567
"Joe Dumars"	0.0753946
"Rick Tocchet"	0.0750698
"Cliff Ronning"	0.0749659
"Mike Miller"	0.0749185
"James Worthy"	0.0747174
"Chris Webber"	0.0745136
"Scottie Pippen"	0.0741684
"Bobby Phills"	0.0739036
"Matt Geiger"	0.0737447
"Chris Porter"	0.0733512
"Shannon MacMillan"	0.0731687
"Karl Malone"	0.0730545
"Clifford Robinson"	0.0729244
"Gabe Muoneke"	0.0728269
Titov	0.0726411
"Eddie Jones"	0.072558
"Sam Clancy"	0.072515
"CORIE BLOUNT"	0.072108
"Larry Johnson"	0.0716943
"David Robinson"	0.0716726
"Juergen Klinsmann"	0.0712946
"Ruben Patterson"	0.0712714
Langdon	0.0711858
"Anthony Johnson"	0.0707087
"Voshon Lenard"	0.0705794
"Darrick Martin"	0.0705002
"Dejan Savicevic"	0.0703877
"Eric Murdock"	0.0701469
Cortines	0.069869
"John Salley"	0.0694256
"Rashard Lewis"	0.0689478
"Corey Maggette"	0.0687261
"Lamond Murray"	0.0682
"Tamika Catchings"	0.0681535
"Ron Mercer"	0.0681214
"Kenny Thomas"	0.0679486
"Chris Gatling"	0.0678287
"Mike Bibby"	0.0677386
"Rasheed Wallace"	0.0673853
"Jerome Kersey"	0.067089
"Rico Hines"	0.0670409
"Jim Harbaugh"	0.0670275
"Horace Grant"	0.0670171
"Sherman Douglas"	0.0669752
"Raef LaFrentz"	0.0668842
"Mike Sullivan"	0.0665963
"Mark Madsen"	0.066435
"Hao Haidong"	0.0663393
"Shawn Marion"	0.0661609
"Mookie Blaylock"	0.0658757
"Ali Daei"	0.0658563
"Paul Pierce"	0.0656991
"Tom Gugliotta"	0.0654322
"Donyell Marshall"	0.0652183
"Jumaine Jones"	0.0649025
"Eric Wynalda"	0.0648296
"Tony Graziani"	0.0647664
"John Wallace"	0.0647551
"Todd Rucci"	0.0644448
"Larry Hughes"	0.0640249
"Glen Rice"	0.0640129
"Tony Hutson"	0.0638687
"Sean Rooks"	0.063807
"Pavol Demitra"	0.0637777
"Chris Dudley"	0.0637413
"Greg Adams"	0.0635379
"Walt Williams"	0.0635148
"Othella Harrington"	0.0632992
"Ante Razov"	0.0632458
"Sheryl Swoopes"	0.0631948
"Wendel Clark"	0.0629777
"Raul Diaz Arce"	0.0628497
"Marcus Camby"	0.0627449
"Chris Crawford"	0.0627377
"B.J Armstrong"	0.0626938
"Mario Elie"	0.0626831
"Elden Campbell"	0.062453
"Vincent Damphousse"	0.0623671
"Kris Clack"	0.062266
"Matt Bullard"	0.0620403
"Samaki Walker"	0.0617792
"Latrell Sprewell"	0.0617364
"Matt Maloney"	0.0616998
"Pat Verbeek"	0.0616892
Fizer	0.0616766
"Matt Santangelo"	0.0615719
"Steve Nash"	0.0614106
"Derrick Coleman"	0.0613277
"Brian Shaw"	0.0609357
"Dave Andreychuk"	0.0609086
"Hristo Stoichkov"	0.0608783
"Roy Lassiter"	0.0608658
"Chris Mills"	0.0607492
"Christian Laettner"	0.0607287
"Kevin Freeman"	0.0606312
"Shareef Abdur-Rahim"	0.0606196
"Chris Childs"	0.0603892
Polgar	0.0603028
Nowitzki	0.0602868
"Bubby Brister"	0.0598902
"Antoine Carr"	0.0595116
"DeLisha Milton"	0.059375
"Jim McIlvaine"	0.0592397
"Tore Andre Flo"	0.0591116
"Guy Carbonneau"	0.0591005
"Kevin Garnett"	0.059038
"Doug Gilmour"	0.0589584
"David Wesley"	0.0587945
"Maurice Taylor"	0.0587589
"Shaquille O'Neal"	0.0586251
"Larry Bird"	0.0586169
"Adrian Ilie"	0.0585739
"Rebecca Lobo"	0.0584834
"Kenyon Martin"	0.0584826
Asprilla	0.058459
"Kevin Willis"	0.0582514
"Kobe Bryant"	0.058121
Kidd	0.0580898
"Predrag Mijatovic"	0.0580568
"Gary Trent"	0.0580146
"Vince Carter"	0.0579265
"Charlie Ward"	0.0579164
"Steve Heinze"	0.0577277
))
("Chris Ofili" (desc 1413.97) (sims
"Francis Bacon"	0.166155
"Robert Rauschenberg"	0.165864
"Vincent van Gogh"	0.165218
Ofili	0.149112
"Salvador Dali"	0.124793
"Jackson Pollock"	0.123103
"Claude Monet"	0.117759
"Georgia O'Keeffe"	0.111843
Manet	0.0967113
Matisse	0.0938219
Rembrandt	0.087547
"Andy Warhol"	0.0858871
Caravaggio	0.0858236
"Diego Rivera"	0.0799503
Picasso	0.0794667
Rodin	0.0788728
Vermeer	0.0782884
Christo	0.0771063
"Laurie Anderson"	0.0768309
"Norman Rockwell"	0.0757178
"Roy Lichtenstein"	0.0710981
Kinkade	0.0706038
"El Greco"	0.0699101
Velazquez	0.067624
Gogh	0.0667733
"Pablo Picasso"	0.0645455
Moby	0.0636163
Degas	0.0631449
Monet	0.0630921
Titian	0.0624251
"Jasper Johns"	0.0605859
Cezanne	0.060327
Rothko	0.0591911
"John Kelly"	0.0561195
Delacroix	0.0545835
Kusama	0.0542725
Bing	0.0534247
Lowry	0.0528764
Heade	0.0523779
Renoir	0.0522366
"Lauryn Hill"	0.0519259
"Council of Guardians"	0.0493086
Coolio	0.0479016
Parrish	0.0444106
Claude	0.0429064
Saramago	0.0419462
Sargent	0.0417818
"Stan Lee"	0.04129
Loeb	0.0411858
Ziegler	0.0408244
Chardin	0.0404654
))
("Chris Osgood" (desc 2647.17) (sims
"Mike Vernon"	0.294615
"Fred Brathwaite"	0.290538
"Norm Maracle"	0.277238
"Steve Shields"	0.2643
"Jocelyn Thibault"	0.259286
"Trevor Kidd"	0.243328
"Olaf Kolzig"	0.243286
"Mikhail Shtalenkov"	0.241782
"Kevin Hartman"	0.239797
"Ron Tugnutt"	0.233275
"Guy Hebert"	0.220688
"Arturs Irbe"	0.217696
"John Vanbiesbrouck"	0.216667
"Jamie Storr"	0.215618
"Sean Burke"	0.213954
"Curtis Joseph"	0.213572
"Tom Barrasso"	0.211963
"Zach Thornton"	0.211695
"Manny Legace"	0.211544
"Tom Presthus"	0.211009
"Nikolai Khabibulin"	0.21052
"Roman Turek"	0.208864
"Sergei Fedorov"	0.207616
"Brendan Shanahan"	0.206299
"Stephane Fiset"	0.20569
"Tommy Salo"	0.200402
"Felix Potvin"	0.198493
"Rob Tallas"	0.19345
"Mike Richter"	0.193222
"Bill Ranford"	0.192763
"Manny Fernandez"	0.184942
"Damian Rhodes"	0.184067
"Patrick Roy"	0.183282
"Igor Larionov"	0.177791
"John Grahame"	0.177563
"Dan Cloutier"	0.175782
"Steve Yzerman"	0.168651
"Byron Dafoe"	0.165173
"Martin Brodeur"	0.162459
"Grant Fuhr"	0.16129
"Dominik Hasek"	0.160836
Legace	0.159227
"Ed Belfour"	0.158935
"Walter Zenga"	0.137817
"Darren McCarty"	0.128329
"Peter Schmeichel"	0.128152
Fiset	0.125602
Ranford	0.124122
"Nicklas Lidstrom"	0.122699
"Briana Scurry"	0.121054
"Larry Murphy"	0.119506
"Jorge Campos"	0.118991
"Angelo Peruzzi"	0.118812
Hebert	0.114545
"Drazen Ladic"	0.113084
"Scotty Bowman"	0.112397
Barrasso	0.112187
"Charlie Batch"	0.111137
"Tony Meola"	0.109004
"Fabien Barthez"	0.10852
Dunham	0.107391
"Chris Chelios"	0.106224
"Brad Friedel"	0.104887
"Bobby Newcombe"	0.103859
Schmeichel	0.103113
"Todd Husak"	0.103079
Salo	0.102488
"Ryan Kealy"	0.099634
Belfour	0.0967503
Kolzig	0.096616
Taffarel	0.096038
Hasek	0.0952976
Dafoe	0.0943069
Storr	0.0928088
"Brian Moehler"	0.0925677
"Jeff Weaver"	0.0891783
Brodeur	0.0881244
Grahame	0.087662
Shields	0.0874546
"Everett McIver"	0.0870826
Longo	0.0861087
Vanbiesbrouck	0.0859965
Samuelsson	0.0855569
"Steve Duchesne"	0.0853304
Turek	0.0841031
Thibault	0.0839269
Tallas	0.0823139
"Rob Johnson"	0.0814689
"Doug Pederson"	0.0810657
"Kasey Keller"	0.0803781
"Jarious Jackson"	0.078429
"Trent Green"	0.0746202
"David Seaman"	0.0737151
"Jeff George"	0.0728883
"Carson Palmer"	0.071809
Osgood	0.0715969
"Gus Frerotte"	0.0707336
"Kevin Smith"	0.0696449
"Ziggy Palffy"	0.0686788
Richter	0.0686656
"Chris Chandler"	0.0674276
"Glenn Foley"	0.0667483
"Jack McDowell"	0.0664699
"Grant Hill"	0.0660899
"Jeremy Roenick"	0.0659318
"Ronnie Bradford"	0.0650466
"Todd Jones"	0.0643879
"Gianluca Pagliuca"	0.063935
Grbac	0.0637325
"Brad Johnson"	0.0637051
Tarango	0.0619539
"Dave Brown"	0.0617744
goalie	0.0615147
"Kevin Mathis"	0.0613603
Roussel	0.0612865
"Chris Weinke"	0.0609821
Roy	0.0608394
"Mark Bosnich"	0.0606967
Vernon	0.0603224
"Mike Van Raaphorst"	0.0599497
"Arnaud Boetsch"	0.059824
Khabibulin	0.058907
"Jamal Lewis"	0.0587343
Klim	0.0582828
"Kevin Elster"	0.0580986
"Al Unser Jr."	0.0578282
Biffle	0.0578125
"Jozef Stumpel"	0.0576481
"Major Applewhite"	0.0574662
"Pat Verbeek"	0.0573388
"Jim Harrick"	0.0573247
Seizinger	0.0572441
Feuer	0.0572256
Cormier	0.0568529
"Paul Abbott"	0.0568441
"two pitchers"	0.0565421
"Mark Brunell"	0.0564376
"Troy Aikman"	0.0562132
"Barry Sanders"	0.0555494
"Brett Steven"	0.0554525
Romario	0.0553499
"Dave Andreychuk"	0.0552225
"Juan Gonzalez"	0.0552073
Heyns	0.0550786
"Robert Edwards"	0.0550339
MacInnis	0.0549853
Obilic	0.0548126
"Ernie Irvan"	0.0547362
"Erik Kramer"	0.054717
"Jesse Orosco"	0.0546435
"Tony Banks"	0.054508
"Kent Mercker"	0.0537402
"Juan Encarnacion"	0.0535232
"Devon White"	0.0531804
Gaither	0.0531769
Mathews	0.0530819
Ordonez	0.0527877
"Drew Bennett"	0.0526261
Av	0.0525997
"Albert Portas"	0.0524786
"Scott Mitchell"	0.0524024
"Li Xuemei"	0.0522022
Popov	0.0521789
Chilavert	0.0520411
"El Duque"	0.051997
"Rodney Peete"	0.0519656
Potvin	0.0517299
"Jarvis Turner"	0.0513379
Morceli	0.0512925
"Russ Ortiz"	0.0511454
Hartman	0.0511183
"Richard Jefferson"	0.0510628
"Pierre Turgeon"	0.0509758
"Nathalie Dechy"	0.0508657
"Joe Nieuwendyk"	0.0507426
"Windrell Hayes"	0.0506495
"Warren Moon"	0.0505105
"Gary DiSarcina"	0.050397
"Richey Reneberg"	0.050379
"Jake Plummer"	0.0503626
"Danny Kanell"	0.0503611
Samford	0.0503452
"Rainer Schuttler"	0.0503081
"another @-pointer"	0.0502716
"Jason Sehorn"	0.0501412
"Arvydas Sabonis"	0.0501108
"Bryce Florie"	0.0499977
"Ugueth Urbina"	0.0499476
"Kerry Ligtenberg"	0.0498596
"Marcelo Filippini"	0.0495595
"Alan Henderson"	0.0494844
"HERMAN MOORE"	0.0493213
Majoli	0.0493196
Campos	0.0492609
"Matt Williams"	0.0492224
"Kerry Collins"	0.0489323
"Jamie Moyer"	0.0489244
"Vinny Testaverde"	0.048899
"Christian Fittipaldi"	0.0488516
Whitbread	0.0487412
))
("Chris Palmer" (desc 1915.86) (sims
"Dom Capers"	0.378208
"Dick Jauron"	0.351134
"Brian Billick"	0.30921
"Gary Kubiak"	0.272077
"Rich Brooks"	0.263202
"Mike Martz"	0.262668
"TOM COUGHLIN"	0.251551
"Bora Milutinovic"	0.211932
"Bela Karolyi"	0.208758
"Chan Gailey"	0.202523
"Dave Campo"	0.193599
"Al Groh"	0.192797
"George Seifert"	0.180165
"Steve Mariucci"	0.176095
"Tony Dungy"	0.174022
"Hans von Sponeck"	0.168648
"Dave McGinnis"	0.168299
"Bill Belichick"	0.168248
"John Robinson"	0.166805
"Mike Holmgren"	0.159397
"John Thompson"	0.155092
"Dan Reeves"	0.151835
"Norv Turner"	0.151307
"Mike Dunleavy"	0.146077
"Dick Vermeil"	0.145117
"Paul Westphal"	0.144438
"Mike Krzyzewski"	0.143233
"Ray Rhodes"	0.141629
"Kyle Brady"	0.139954
"Ernie Zampese"	0.139805
"Lou Holtz"	0.138723
"Lenny Wilkens"	0.13822
"Tim Floyd"	0.136767
"Dennis Green"	0.136666
"Vince Lombardi"	0.134225
"John Fox"	0.132451
"Mike Shanahan"	0.132275
"Ken Hitchcock"	0.131468
"P.J Carlesimo"	0.130328
Billick	0.129178
"Mack Brown"	0.128905
"Willie Randolph"	0.126858
"Rich Rodriguez"	0.125278
"Pat Burns"	0.124452
"Doc Rivers"	0.124045
"Fred Taylor"	0.123065
"Don Zimmer"	0.122223
"Jerry Sloan"	0.122163
"Scotty Bowman"	0.12031
"Don Shula"	0.11707
"Bill Cowher"	0.115127
"Walter Zenga"	0.114418
"Butch Carter"	0.112174
"George Karl"	0.111659
"Jim Harrick"	0.1116
"Rick Neuheisel"	0.111404
"Rudy Tomjanovich"	0.111012
"Dave Wannstedt"	0.110532
"Mike Ditka"	0.109525
"Jeff Van Gundy"	0.10929
"Don Baylor"	0.108925
"Del Harris"	0.108397
Skiles	0.106223
"Tom Landry"	0.105544
Martz	0.104849
"Barry Switzer"	0.104744
"Larry Brown"	0.103845
"Dennis Erickson"	0.102247
Fassel	0.102047
"Jim Calhoun"	0.101806
"Kurt Rambis"	0.0997825
"Steve Spurrier"	0.0991783
"Phil Jackson"	0.0982068
"Mark Brunell"	0.0971254
"John Smith"	0.0964193
"Pat Riley"	0.0952112
"Bill Parcells"	0.094494
"Mel Stottlemyre"	0.0934901
"Pete Carroll"	0.0929429
"Rick Pitino"	0.0924099
"Tex Winter"	0.0923689
"Jimmy Smith"	0.0902068
"Dave Cowens"	0.0891347
Zico	0.0887537
"Bobby Bowden"	0.0882589
Harrick	0.0875116
"Don Nelson"	0.0873721
"Bob Knight"	0.0871492
"Chuck Daly"	0.0859602
"Paul Silas"	0.0857539
"Bill Walsh"	0.0857427
"Joe Gibbs"	0.085073
Shanahan	0.0847961
"line coach"	0.0837496
McGinnis	0.0828671
Ponciano	0.0827035
"June Jones"	0.0822675
"Dean Smith"	0.082104
Jauron	0.081875
"Jimmy Johnson"	0.0803443
"Tom Osborne"	0.0801129
Belichick	0.0789353
Gailey	0.0787693
Groh	0.0780338
"Tommy Bowden"	0.0747531
"Rod Carew"	0.074678
"John Calipari"	0.0729614
Donnan	0.0714548
Wilkens	0.0713555
Layden	0.0711579
"Gary Stevens"	0.0710557
"Mike Scioscia"	0.0709413
Solich	0.0706721
"Dennis Johnson"	0.0706596
Milutinovic	0.07031
"Carl Bildt"	0.0688364
"Glenn Hoddle"	0.0679787
Sampson	0.0679232
Holmgren	0.0672069
Casserly	0.0662451
Monson	0.066108
"Dennis Ross"	0.0660441
"Johan Cruyff"	0.0657924
"Roy Williams"	0.0656575
Spurrier	0.0656462
"Terry Allen"	0.064819
K.	0.0644806
"Kevin Keegan"	0.0641483
Neuheisel	0.0634247
"Bobby Knight"	0.0629112
Stoneman	0.0627225
Zenga	0.0625205
"Tom Davis"	0.0615866
"Clyde Drexler"	0.0613464
"Bruce Matthews"	0.0612287
"Colin Campbell"	0.0611217
Chambliss	0.0611206
"Larry Bird"	0.0610935
Landry	0.0610214
"James Stewart"	0.0607083
Haskins	0.0604373
Karolyi	0.0601039
"Red Auerbach"	0.0594832
"Isiah Thomas"	0.0594752
Slocum	0.0593334
Shurmur	0.0586767
Schmid	0.0579774
"Mark Tuinei"	0.05733
Veerappan	0.0570591
"Ruud Gullit"	0.0568905
"Steve DeBerg"	0.0568051
Scioscia	0.0562861
Chelios	0.0552824
"Mike Hargrove"	0.0552228
"Dave Stewart"	0.0550931
"Davey Lopes"	0.0550005
"Joe Paterno"	0.0548675
"Bob Whitfield"	0.0545956
Napolitano	0.054379
"Lomas Brown"	0.0533605
McKeon	0.0530907
"Carlos Westendorp"	0.0529422
"Orlando Brown"	0.0529283
Tarver	0.0528134
Wannstedt	0.0525407
"Ernie Grunfeld"	0.0524349
Rambis	0.0524271
Zimmer	0.0520938
Fulmer	0.0517015
Holtz	0.05164
"Bruce Armstrong"	0.0514864
"Solomon Page"	0.0514259
Okada	0.0510022
Kilborn	0.0507563
Pitino	0.0502766
Havelange	0.049993
Lehrer	0.0499818
"Tony Hutson"	0.0499199
"Davey Johnson"	0.0498479
"Gregory Craig"	0.0494873
"John Tait"	0.0493783
"Nate Newton"	0.0493039
Barnett	0.049237
Bowden	0.0492195
"Paul Johnson"	0.049142
"Glenn Hoffman"	0.0489785
"Bear Bryant"	0.0488516
"Glen Sather"	0.0486075
"Joe Dumars"	0.0485432
Vick	0.0484225
Osborne	0.0482616
Nacchio	0.0479314
"Renato Ruggiero"	0.0478541
"Dez White"	0.0476703
Ivey	0.0475028
"Bobby Rahal"	0.0474287
Grbac	0.0473126
Zambrano	0.0470649
Walsh	0.0469764
Cowher	0.0469074
))
("Chris Patten" (desc 1395.5) (sims
"Dai Xianglong"	0.241148
"William Weld"	0.202105
"Roy Romer"	0.19407
"Nur Misuari"	0.193608
"David Beasley"	0.158578
"Jeanne Shaheen"	0.151462
"Vladimir Yakovlev"	0.149446
"Christopher Cox"	0.145596
"Christine Todd Whitman"	0.144249
"James Soong"	0.139822
Misuari	0.135019
"Zell Miller"	0.13062
"Jim Hodges"	0.123052
"Jerry Brown"	0.118885
"Parris Glendening"	0.11822
"George Ryan"	0.116383
"Ann Richards"	0.116331
"Tom Ridge"	0.113751
"Tommy Thompson"	0.111049
"Deve Gowda"	0.109333
"Pete Wilson"	0.108362
"Paul Cellucci"	0.105663
"Mike Leavitt"	0.103803
"Bud Selig"	0.103636
"Fob James"	0.102287
"George Mitchell"	0.100673
"Tung Chee Hwa"	0.0989923
"Evan Bayh"	0.0957711
"Garry Mauro"	0.0943472
"P.V Narasimha Rao"	0.0927937
"Jim Guy Tucker"	0.0923204
"Jeb Bush"	0.090649
"Mario Cuomo"	0.0903705
"John Rowland"	0.0901738
"Pedro Rossello"	0.089132
"Eddie George"	0.0873058
"Warren Rudman"	0.0869401
"Mary Robinson"	0.0863254
"Alexander Lebed"	0.0857496
Sutiyoso	0.0847966
"Bill Owens"	0.0838911
"Jim Florio"	0.0832355
Engler	0.0830735
"John Engler"	0.0830609
"Gary Johnson"	0.0818139
"Michael Dukakis"	0.0794726
"Begum Khaleda Zia"	0.0791811
"H.D Deve Gowda"	0.0784966
"Tomiichi Murayama"	0.0776166
"Gray Davis"	0.0775618
"Leon Brittan"	0.0773943
"Chavalit Yongchaiyudh"	0.0767176
"George Wallace"	0.0765551
"Chief Secretary"	0.0764534
Koirala	0.0762844
Velayati	0.0744481
"Bruce Babbitt"	0.0728129
"Momir Bulatovic"	0.0724461
"Roy Barnes"	0.0720281
"John Kelly"	0.0711393
"Prime Minister Banharn Silpa-Archa"	0.0710736
"Archbishop Desmond Tutu"	0.0709203
"Mike Foster"	0.0706988
"Michael Ovitz"	0.0701498
"Lamar Alexander"	0.0692848
"David Stern"	0.0687252
"Tom Vilsack"	0.0686285
"Rafik Hariri"	0.0683304
"Lawton Chiles"	0.0679528
"Girija Prasad Koirala"	0.0677608
"Natan Sharansky"	0.0676027
"Vaclav Klaus"	0.0673606
Dai	0.0673139
"Anson Chan"	0.0668424
"Megawati Soekarnoputri"	0.0665963
"Jane Hull"	0.0664773
"Gary Locke"	0.0662957
"Prime Minister Kamal El-Ganzouri"	0.0652368
"Necmettin Erbakan"	0.0650658
"Dick Pound"	0.0649029
"Vladimir Meciar"	0.0648781
Al-Sabah	0.0646123
"Binyamin Netanyahu"	0.0644494
"Dan Burton"	0.0641502
"George Speight"	0.0640083
Hariri	0.0635138
"Hans Blix"	0.0632872
"George Gekas"	0.0627355
"John G. Rowland"	0.0625464
"Minas Gerais"	0.0624055
Erbakan	0.0623296
"Yuri Luzhkov"	0.0622852
Voinovich	0.062192
"Jiang Zemin"	0.0617187
"Buddy MacKay"	0.0615818
"Khin Nyunt"	0.061424
"Jim Gilmore"	0.0612414
"Chea Sim"	0.061053
ENTREMED	0.0606855
"Alain Juppe"	0.0606134
"Wlodzimierz Cimoszewicz"	0.0605311
"Airport Authority"	0.0597866
"Thomas Pickering"	0.0586256
"Bill Archer"	0.0570742
"Boris Nemtsov"	0.0569181
"Hong Kong Tourist Association"	0.0567558
"Kim Jong-pil"	0.0567385
Fordice	0.0566625
"Inder Kumar Gujral"	0.0560835
"Ryutaro Hashimoto"	0.0560582
Dewey	0.0558316
"Sadako Ogata"	0.0556814
Aleman	0.0556589
Mauro	0.0556376
"Mel Carnahan"	0.0549704
Tuttle	0.0547354
"Huang Ju"	0.0546768
"Atef Obeid"	0.0545877
Broek	0.0545751
"Amien Rais"	0.05441
Amin	0.0543841
khan	0.0542072
"Gerhard Schroeder"	0.0538814
Koehler	0.0534546
Musharraf	0.0532685
Kabariti	0.0531853
"Richard Butler"	0.0530919
"Tansu Ciller"	0.0530464
"Saeb Erekat"	0.0530185
"Kim Yong Nam"	0.0527966
"surgeon general"	0.052562
Bouteflika	0.052459
"Mao Zedong"	0.0522596
"Boutros Boutros Ghali"	0.0518059
"Ramsey Clark"	0.0515474
"George E. Pataki"	0.0514699
"Scott Harshbarger"	0.0514314
Locke	0.0513439
"John Morris"	0.0508738
"Johnny Paul Koroma"	0.0505907
"Sher Bahadur Deuba"	0.0505231
"Tung Chee-Hwa"	0.0504218
Xiao	0.0503016
Bruton	0.0502964
"Shi Guangsheng"	0.0502355
Meguid	0.0500981
"International Badminton Federation"	0.0496426
Satcher	0.0496237
"Dan Lungren"	0.0496126
"Chuan Leekpai"	0.0495266
"Yegor Stroyev"	0.0494037
"Bill Graves"	0.0492048
"Kenneth Clarke"	0.0489984
LaBella	0.0489137
"Moro National Liberation Front"	0.0487541
"de Charette"	0.0487353
"Robert Rubin"	0.0485936
"Arthur Levitt"	0.0484503
Hevesi	0.0484003
Sununu	0.0478758
"Norodom Ranariddh"	0.0477846
"Minister Shlomo Ben-Ami"	0.0472189
Stoyanov	0.0472082
"Michael Milken"	0.0470641
"Dai Bingguo"	0.0470448
"gossip columnist"	0.0468582
Tian	0.046834
"Khaleda Zia"	0.0466056
"Fred Thompson"	0.0466042
Cheng	0.0465369
"Li Peng"	0.0463939
"Tony Coelho"	0.0461431
"Jacques Santer"	0.0460841
Erekat	0.0460735
"Vuk Draskovic"	0.0459908
Rawabdeh	0.0458412
"Mesut Yilmaz"	0.0458024
"Wim Duisenberg"	0.0456417
"Benazir Bhutto"	0.0455969
"Truth Commission"	0.0453469
Majko	0.0453038
"Koichi Kato"	0.0451511
"Frank Keating"	0.0450465
Ishihara	0.0450437
Rafsanjani	0.0449725
CAA	0.0448653
Ecevit	0.0448003
Wamba	0.044661
"Alan Greenspan"	0.0446004
"top dog"	0.0445854
Rifkind	0.0443818
"Lokendra Bahadur Chand"	0.0440429
"Kenneth W. Starr"	0.0440306
Siegelman	0.0439957
"Chief Executive Tung Chee-hwa"	0.043739
"Secretary- General"	0.043617
Akayev	0.0435877
"Peter Vallone"	0.0435458
HKTA	0.0435018
"Christopher Smith"	0.0434775
))
("Chris Perry" (desc 1608.53) (sims
"Jeff Maggert"	0.210319
"Lee Janzen"	0.194153
"Andrew Magee"	0.192742
"Billy Mayfair"	0.188909
"Bob Tway"	0.187664
"Steve Stricker"	0.173864
"Jim Furyk"	0.169648
"Fred Couples"	0.165372
"Bill Glasson"	0.164519
"Justin Leonard"	0.159639
"Mark Calcavecchia"	0.159146
"Steve Pate"	0.158032
"Bob Estes"	0.155827
"John Huston"	0.147856
"Tom Lehman"	0.147666
"Davis Love III"	0.147418
"Scott Hoch"	0.142375
"Vijay Singh"	0.139134
"Rocco Mediate"	0.136125
"Hal Sutton"	0.132815
"Colin Montgomerie"	0.129287
"Jeff Sluman"	0.128484
"Fred Funk"	0.125393
"Paul Azinger"	0.124727
"Steve Elkington"	0.124157
"Brad Faxon"	0.123057
"Carlos Franco"	0.120799
"Jay Haas"	0.120117
"Mark O'Meara"	0.114907
"Loren Roberts"	0.113931
"Peter Jacobsen"	0.112624
"Nick Price"	0.111588
"Billy Andrade"	0.111175
"Craig Stadler"	0.110069
"Stewart Cink"	0.109311
"David Duval"	0.104195
"Phil Mickelson"	0.102901
"Curtis Strange"	0.1016
"Mark Brooks"	0.101326
"Jose Maria Olazabal"	0.095594
"Jesper Parnevik"	0.0954599
"Ernie Els"	0.0950189
"John Daly"	0.0930719
"Tim Herron"	0.0920289
"Frank Nobilo"	0.0898388
"Sergio Garcia"	0.0893195
"Brian Watts"	0.0889902
"Greg Norman"	0.0886178
"Payne Stewart"	0.0882297
"Steve Jones"	0.0835999
"Stuart Appleby"	0.0833528
"Darren Clarke"	0.0802576
"Meg Mallon"	0.0787072
Magee	0.0780834
"Padraig Harrington"	0.0775781
"Larry Mize"	0.0739899
"Jim Colbert"	0.0736297
"Lee Westwood"	0.0735931
"Bernhard Langer"	0.0734661
"Thomas Bjorn"	0.0729025
"Scott Dunlap"	0.0722268
Huston	0.072137
"Scott Verplank"	0.0701723
"Nick Faldo"	0.0691155
"Kirk Triplett"	0.0688984
"Mike Weir"	0.0682007
"HANK KUEHNE"	0.0675643
"Craig Parry"	0.0675026
Azinger	0.0670909
Stadler	0.0662066
"Shigeki Maruyama"	0.0660032
Parnevik	0.0659833
"Tom Kite"	0.0654993
"Paul Lawrie"	0.064637
"Mark Barton"	0.0639622
Alfredsson	0.0622133
Cink	0.061785
"Hale Irwin"	0.0617279
"Ian Woosnam"	0.0597002
Samford	0.0595437
Hoch	0.0585501
Mallon	0.058375
Baumhammers	0.0570214
"Justin Rose"	0.0565791
Chamblee	0.0565057
"Billy Wilder"	0.0560787
"Helen Alfredsson"	0.0542463
Hsieh	0.0539412
Janzen	0.0536162
"Stern John"	0.0535107
Majerle	0.0529059
Tverdovsky	0.0527673
Maggert	0.0521453
"Mark O. Barton"	0.0520096
"Liselotte Neumann"	0.0517924
Faldo	0.0514871
"Isao Aoki"	0.051333
"Dana Quigley"	0.0510868
"Fighting Irish"	0.0510698
"Arkansas State"	0.0509948
White-McCarty	0.0507406
"Yitzhak Mordechai"	0.0506585
Montgomerie	0.0505862
Karlsson	0.0494631
"Matt Kuchar"	0.0491688
"Bruce Fleisher"	0.0483284
Appleby	0.0476147
"Tony Meola"	0.047525
"Corey Pavin"	0.0474109
Furyk	0.0472299
Dougherty	0.0472087
"Scarlet Knights"	0.0471651
O'Meara	0.046539
"Gil Morgan"	0.0462037
Hawkeyes	0.0461341
"Raul Diaz Arce"	0.0457121
Rucchin	0.0453677
"Kim Taek Soo"	0.0453336
Boilermakers	0.0452948
"Fuzzy Zoeller"	0.0452132
"Chris Osgood"	0.0451847
"Andrew Coltart"	0.0449749
"Jarmo Sandelin"	0.0448303
Waldorf	0.0445069
"Betsy King"	0.0440954
Stricker	0.0440442
"Miguel Angel Jimenez"	0.0439195
Musashimaru	0.0435705
"J.P. Hayes"	0.0435027
Lehigh	0.0433147
Smolinski	0.0430987
Lafleur	0.0430623
"Dottie Pepper"	0.0427929
Trepagnier	0.0426475
Tomko	0.0425166
Maruyama	0.0425071
Ozaki	0.0424255
"Kevin Hartman"	0.0424036
"St. Bonaventure"	0.0419133
"Home Secretary"	0.0411163
Calcavecchia	0.0410631
Hollins	0.040598
"Tony Amonte"	0.0402452
Drury	0.0400725
"Peter Bondra"	0.0400119
Huskers	0.0400009
))
("Chris Porter" (desc 1912.53) (sims
"Kenyon Martin"	0.227278
"Brian Scalabrine"	0.19905
"Elton Brand"	0.176288
"Ron Artest"	0.175081
"Shawn Marion"	0.169881
"Hao Haidong"	0.168398
"Richard Hamilton"	0.167772
"Jumaine Jones"	0.161215
"Chamique Holdsclaw"	0.160701
"Kris Clack"	0.157527
"Maurice Taylor"	0.156399
"Jarvis Turner"	0.156143
"Sam Clancy"	0.149234
"Mike Miller"	0.147673
"Tamika Catchings"	0.146786
"Mark Madsen"	0.14649
"Gabe Muoneke"	0.141183
"Hu Weidong"	0.140676
"Morris Peterson"	0.140094
"Alen Boksic"	0.139712
"JaRon Rush"	0.138829
"DeLisha Milton"	0.138591
"Faustino Asprilla"	0.137451
"Paul Pierce"	0.137016
"Ante Razov"	0.13671
"Marcus Fizer"	0.136504
"Steve Francis"	0.133014
"Samaki Walker"	0.130787
"Kevin Freeman"	0.130035
"Wally Szczerbiak"	0.127601
"Bill Guerin"	0.126779
"Matt Santangelo"	0.126271
"Keith Van Horn"	0.126229
"Sean Farnham"	0.122671
"Joe Smith"	0.122637
"Raef LaFrentz"	0.122167
"Grant Long"	0.122056
"Scoonie Penn"	0.121959
"Devean George"	0.121401
"Shawn Kemp"	0.121357
"Sun Wen"	0.120626
"Alan Henderson"	0.119768
"Eric Wynalda"	0.119767
"Cedric Ceballos"	0.119613
"Ruben Patterson"	0.117234
"Chris Crawford"	0.116672
"Brian Skinner"	0.115941
"Darius Miles"	0.115334
"Ziggy Palffy"	0.115289
"Kenny Thomas"	0.113726
"Gheorghe Hagi"	0.113527
"Chris Carrawell"	0.113257
"Etan Thomas"	0.112273
"Michael Wright"	0.111261
"Clifford Robinson"	0.111208
"Lee Nailon"	0.111198
"Corliss Williamson"	0.111094
"Predrag Mijatovic"	0.111043
"Shane Battier"	0.109784
Szczerbiak	0.108622
"Tony Amonte"	0.108355
"Miroslav Satan"	0.108207
"Rodney Rogers"	0.108193
"Doug Weight"	0.10818
"Robert Traylor"	0.107818
"Kurt Thomas"	0.10761
"Sergei Fedorov"	0.107333
"Rebecca Lobo"	0.107128
"Joe Sakic"	0.105892
"Richard Jefferson"	0.105675
"George Weah"	0.105022
"Antawn Jamison"	0.104178
"Lamond Murray"	0.10381
"Pavol Demitra"	0.103282
"Michael Finley"	0.103202
"Pat Garrity"	0.103153
"Rick Fox"	0.102676
"Chris Gatling"	0.102338
"Gary Trent"	0.102214
"Vince Carter"	0.101755
"Mateen Cleaves"	0.101587
"Charles Oakley"	0.101488
"Matt Harpring"	0.100959
"Sean Elliott"	0.100797
"Jaromir Jagr"	0.100397
"Jerome Moiso"	0.0998938
"Chris Webber"	0.0998603
"Raul Gonzalez"	0.0997033
"Brian Grant"	0.0996598
"Jason Allison"	0.0996588
"Shareef Abdur-Rahim"	0.099458
"J.R Reid"	0.0990114
"Danny Fortson"	0.098487
"Peter Forsberg"	0.0982501
"Khodadad Azizi"	0.0980107
"Austin Croshere"	0.0979766
"Leon Smith"	0.0978403
"Lamar Odom"	0.0975785
"Alexei Kovalev"	0.0967843
"Theo Ratliff"	0.0967741
"Blake Sloan"	0.0957517
"Rashard Lewis"	0.0955135
"Todd Harvey"	0.095153
"Kirk Muller"	0.0949337
"Jamie Feick"	0.0946377
"Dirk Nowitzki"	0.0943062
"Kevin Garnett"	0.0941886
"Jeremy Roenick"	0.0935988
"Walt Williams"	0.0935658
"Youri Djorkaeff"	0.093461
"Mark Bryant"	0.0933955
"Matt Barnes"	0.0931979
"Hidetoshi Nakata"	0.0931351
"Oliver Bierhoff"	0.09267
"Eddie House"	0.0921933
"Patrik Stefan"	0.0921656
"Mia Hamm"	0.0918105
"P.J Brown"	0.0917106
"Billy Owens"	0.091442
"Christian Vieri"	0.0914148
"Donyell Marshall"	0.0913028
"Dwayne Goodrich"	0.0911618
"Owen Nolan"	0.0909862
"Jalen Rose"	0.0907569
"Juergen Klinsmann"	0.0904919
"Yolanda Griffith"	0.0904837
"Chris Mills"	0.0903251
"Anthony Mason"	0.0901083
"Rasheed Wallace"	0.090062
"Othella Harrington"	0.089815
"Luc Robitaille"	0.089332
"Davor Suker"	0.089325
"Ali Daei"	0.0891885
"Alexei Yashin"	0.0891264
"Raul Diaz Arce"	0.0890911
"Gabriel Batistuta"	0.0890515
"Pierre Turgeon"	0.0888718
"Dejan Savicevic"	0.088618
"Juwan Howard"	0.0882001
"Jason Kapono"	0.0881019
"Grant Hill"	0.0877875
"Sheryl Swoopes"	0.0877384
"Rico Hines"	0.0876065
"Jason Terry"	0.0871582
"Grant Marshall"	0.0871115
"Robert Horry"	0.0871072
"Dennis Scott"	0.0869668
"Michael Smith"	0.0868583
"Corey Maggette"	0.0867202
"A.C. Green"	0.086631
"Vin Baker"	0.0866115
"Dallas Drake"	0.0862789
"Brendan Shanahan"	0.085393
"Antonio Davis"	0.0851193
"Shandon Anderson"	0.0845805
Holdsclaw	0.0844115
"Stan Collymore"	0.0840589
"Shane Doan"	0.0838685
"Patrick Kluivert"	0.0837437
"Keith Tkachuk"	0.0837132
"Detlef Schrempf"	0.0835318
"Paul Kariya"	0.0834686
"Greg Adams"	0.0829779
"ZIGMUND PALFFY"	0.0827543
"Nwankwo Kanu"	0.082722
"Eric Lindros"	0.0826782
"Jeff Friesen"	0.082455
"Doug Gilmour"	0.0824021
"Antoine Carr"	0.0823093
"Fabrizio Ravanelli"	0.0822126
"Kendall Gill"	0.0818578
"Ian Wright"	0.0818183
"Stern John"	0.0813224
"Tim Duncan"	0.0812103
"Wendel Clark"	0.0810649
"Glenn Robinson"	0.080919
"Champ Bailey"	0.0806052
"Bryon Russell"	0.0805564
"Guy Carbonneau"	0.0802297
Bebeto	0.0801737
"Elden Campbell"	0.0799889
"Isaiah Rider"	0.0793849
"Chris Drury"	0.0789747
"Clarence Weatherspoon"	0.0788476
"Chris Anstey"	0.0785177
"Luis Hernandez"	0.0784898
"Ivan Zamorano"	0.0784684
"Aaron Williams"	0.0784084
"Joe Nieuwendyk"	0.0783254
"Andy Katzenmoyer"	0.0781153
Romario	0.0780419
"Eric Cantona"	0.0777588
"Tom Gugliotta"	0.0777342
"Adrian Ilie"	0.0777026
"Charles Barkley"	0.0775595
"Theo Fleury"	0.0775212
"Danny Manning"	0.0773459
"Tracy McGrady"	0.0771078
"Cobi Jones"	0.0768704
"Thomas Haessler"	0.0767933
))
("Chris Pronger" (desc 1769.7) (sims
"Pierre Turgeon"	0.343594
"Pavol Demitra"	0.292782
"Al MacInnis"	0.263045
"Grant Fuhr"	0.167614
"Mattias Norstrom"	0.165219
"Nicklas Lidstrom"	0.165196
"Roman Turek"	0.153257
"Doug Bodger"	0.15087
"Derian Hatcher"	0.144493
"Ray Bourque"	0.135645
"Steve Duchesne"	0.134828
"Vladimir Malakhov"	0.134432
"Scott Niedermayer"	0.133786
"Darryl Sydor"	0.131191
"Chris Chelios"	0.130576
"Scott Stevens"	0.128606
"Garry Galley"	0.128104
"Alexei Zhitnik"	0.126213
"Oleg Tverdovsky"	0.124937
"Sandis Ozolinsh"	0.123139
"Sergei Zubov"	0.121161
"Teppo Numminen"	0.120748
"Brian Leetch"	0.117851
"Fredrik Olausson"	0.116834
"Aki Berg"	0.114067
"Lyle Odelein"	0.10973
"Rob Blake"	0.10892
PRONGER	0.108678
"Dave Manson"	0.107769
"Mathieu Schneider"	0.107184
"Sean O'Donnell"	0.106042
"Richard Matvichuk"	0.104056
"Shawn Chambers"	0.101945
"Larry Murphy"	0.0994027
"Paul Coffey"	0.0992799
"Jyrki Lumme"	0.0968345
"Mike Burns"	0.0968138
"Ken Daneyko"	0.0962339
"Bryan Berard"	0.0960655
"Fan Zhiyi"	0.0960175
"Kyle McLaren"	0.0952349
"Thomas Dooley"	0.0890735
"Roy Keane"	0.0881081
"Darren Van Impe"	0.0867077
"Ulf Samuelsson"	0.081294
"Craig Ludwig"	0.0809245
"Mats Sundin"	0.0809114
"Frank de Boer"	0.0801191
"Zvonimir Boban"	0.0785405
MacInnis	0.0784724
"Steve Yzerman"	0.0782005
"Sun Wen"	0.0777463
"Marty McSorley"	0.0749812
"Paul Kariya"	0.0746269
"Tony Adams"	0.0741521
"Carla Overbeck"	0.0741478
"Paolo Maldini"	0.073761
"Mark Messier"	0.0733088
"Owen Nolan"	0.0722253
"Juergen Klinsmann"	0.0717279
"Jeremy Roenick"	0.0713535
"Keith Tkachuk"	0.0711115
"Julie Foudy"	0.069383
"Michael Peca"	0.069292
"Hansie Cronje"	0.0690372
"Sergei Fedorov"	0.0678335
"Joe Sakic"	0.06742
Renteria	0.0668191
"Don Sweeney"	0.0667602
"Lothar Matthaeus"	0.0664646
"Donald Audette"	0.0630787
"Reggie Lewis"	0.0628867
"Patrik Elias"	0.0627125
"Hal Gill"	0.0624801
Arnott	0.0623661
"John Harkes"	0.0616495
"Mark Taylor"	0.0616495
"Cliff Ronning"	0.061406
"Eric Lindros"	0.0609572
Leetch	0.0605397
underpants	0.0586201
"Mike Keane"	0.0580844
"Vladimir Tsyplakov"	0.0580256
"Oliver Bierhoff"	0.0580213
"Mark James"	0.0575457
Picard	0.0564999
"Alexi Lalas"	0.0560137
"Wasim Akram"	0.0559493
Nedved	0.0554912
"Mike Vernon"	0.0554761
"Peter Bondra"	0.0546278
Drury	0.0545147
"Dallas Drake"	0.05431
"John LeClair"	0.0540379
Robitaille	0.0529944
Samuelsson	0.0529193
"Alan Shearer"	0.0526999
"Luc Robitaille"	0.0525653
"Ziggy Palffy"	0.0525049
"Brian Lara"	0.0523637
"Miami Fusion"	0.0515679
"Jeff Agoos"	0.0512352
"Billie Jean King"	0.0509907
"Robert Jarni"	0.0508559
"Brenden Morrow"	0.0507407
"Jaromir Jagr"	0.0507264
fieldwork	0.0500947
"Jose Jimenez"	0.0500171
"Alexander Mogilny"	0.0499969
"Carl Hooper"	0.0499516
"Salim Malik"	0.0494238
"Sol Campbell"	0.0493288
"Steve Waugh"	0.0491095
"R. Kelly"	0.0488596
"Mike Jones"	0.0485204
"Bobby Orr"	0.0485112
Tverdovsky	0.0484276
Lafleur	0.0479238
"Curtis Brown"	0.0475764
Suker	0.047477
Polgar	0.047421
Smolinski	0.0473065
"Petr Sykora"	0.0472724
Terps	0.0470146
"Didier Deschamps"	0.0464784
"Steve Smith"	0.0464527
Rolen	0.0464158
Dunga	0.0461849
Sykora	0.0456641
"Nashville Predators"	0.0455495
"Robert Johnson"	0.0452796
"Larry Hughes"	0.0451115
"Edgar Renteria"	0.0450639
"Alexei Kovalev"	0.0446601
Selanne	0.0445676
"Jocelyn Thibault"	0.0445072
"Ben Crenshaw"	0.0445019
revivalist	0.0441244
"Tony Amonte"	0.0440015
"Joe Nieuwendyk"	0.0438681
"Alec Stewart"	0.0436233
Laettner	0.0433316
"Ryan Giggs"	0.0433033
"New York-New Jersey MetroStars"	0.0432775
"Paul Caligiuri"	0.0430708
Figgs	0.0429225
"Marcelo Balboa"	0.0427186
"Mike Martz"	0.0425706
"Mike Modano"	0.04236
"Pat Verbeek"	0.0422729
"Joe Thornton"	0.0422594
"Hao Haidong"	0.0421462
"John Lee Hooker"	0.0421298
"Barry Larkin"	0.0418067
"Glen Murray"	0.0415523
Luc	0.0413949
Sydor	0.0413906
"Seibu Lions"	0.041299
"Carlos Valderrama"	0.0410887
"Seve Ballesteros"	0.0409594
"J.D Drew"	0.0405901
Donato	0.0404127
"Jason Kendall"	0.040307
Sacco	0.0402689
Trepagnier	0.0402544
Stumpel	0.0402211
Cullen	0.0401702
"Anaheim Mighty Ducks"	0.0401297
"Dale Hunter"	0.0400984
"Nwankwo Kanu"	0.0400646
))
("Chris Rock" (desc 5946.26) (sims
"Garry Shandling"	0.168671
"David Spade"	0.159216
"George Carlin"	0.135835
"Martin Lawrence"	0.129076
"Mike Myers"	0.126996
"Whoopi Goldberg"	0.126568
"Billy Crystal"	0.125604
"Norm MacDonald"	0.124606
"Bill Cosby"	0.115747
"Steve Martin"	0.104425
"Jerry Seinfeld"	0.0982856
"Al Franken"	0.0940742
"Bill Maher"	0.0925329
"Robin Williams"	0.0888762
"Rob Lowe"	0.0867605
"Jason Alexander"	0.0857448
"Adam Sandler"	0.085479
"Renee Zellweger"	0.0844398
"Jim Carrey"	0.0816179
"Chevy Chase"	0.0813671
"Will Smith"	0.080913
"Rosie O'Donnell"	0.0786337
"Brad Pitt"	0.0784685
"Richard Pryor"	0.0777327
"Bill Pullman"	0.0748012
"William Hurt"	0.0747823
"Jay Leno"	0.0747522
"Tim Allen"	0.0743922
"Jon Stewart"	0.0736982
"Kevin Kline"	0.0734531
"John Leguizamo"	0.0731598
"Kathy Bates"	0.0726696
"Dennis Miller"	0.0726277
"Jennifer Lopez"	0.0721409
"Bob Hope"	0.0720688
"Michael J. Fox"	0.0719837
"Chow Yun-Fat"	0.0707922
"Jeff Goldblum"	0.0706633
"Eddie Murphy"	0.0684727
"Drew Carey"	0.0679305
"Joan Rivers"	0.0671453
"Sharon Stone"	0.0664474
Roseanne	0.0662427
"Kelsey Grammer"	0.06557
"Matt Damon"	0.0649436
"George Burns"	0.064284
"Pierce Brosnan"	0.0640775
"Denzel Washington"	0.0637933
"Vanessa Redgrave"	0.0633666
"John Lithgow"	0.063346
"Sidney Poitier"	0.0632958
"Glenn Close"	0.0631741
"Ben Affleck"	0.0627857
"Martin Short"	0.0621405
"Harvey Keitel"	0.0619463
"Albert Brooks"	0.0611067
"Denis Leary"	0.061055
"Jamie Lee Curtis"	0.0609474
"Heather Graham"	0.0608254
"Danny Glover"	0.0605839
"Ray Romano"	0.0599684
"Cameron Diaz"	0.0596502
"Leonardo DiCaprio"	0.0595594
"Ted Danson"	0.058849
"Nicolas Cage"	0.0588091
"Winona Ryder"	0.058731
"Tom Selleck"	0.0585352
"John Cleese"	0.0581376
"Matthew McConaughey"	0.0579453
"David Letterman"	0.0578069
"Kenneth Branagh"	0.0578062
"Gene Hackman"	0.0572812
"Harrison Ford"	0.0569669
"Tom Hanks"	0.0568571
"John Belushi"	0.0567188
"Minnie Driver"	0.0561041
"Mary J. Blige"	0.0559582
"Anne Heche"	0.0547277
"Kim Basinger"	0.054627
"Ryan Phillippe"	0.0537871
"Ellen DeGeneres"	0.0535932
"Liza Minnelli"	0.0533802
"Nathan Lane"	0.0514545
"Greg Kinnear"	0.0509956
"Lucille Ball"	0.0507063
"James Earl Jones"	0.0504551
"Maya Angelou"	0.0502504
"Mel Brooks"	0.0501823
"Ricky Martin"	0.0501338
"Bette Midler"	0.0498828
"Tracy Chapman"	0.0492847
"Parker Posey"	0.0491715
RuPaul	0.0490524
"Janet Jackson"	0.0489911
"Andy Kaufman"	0.0489
"Jackie Chan"	0.0488806
"Morgan Freeman"	0.0486067
"Roberto Benigni"	0.0484955
"Jimmy Smits"	0.0480993
"Oprah Winfrey"	0.0479732
"Diana Ross"	0.0475634
"Celine Dion"	0.0475613
"Michelle Pfeiffer"	0.0475387
"John Goodman"	0.0474692
"Val Kilmer"	0.0470225
"Johnny Depp"	0.0467173
"Helen Hunt"	0.0466558
"Robert DeNiro"	0.0466441
"Jenna Elfman"	0.0464958
"Jay Mohr"	0.0463141
"Janeane Garofalo"	0.0463089
"Susan Sarandon"	0.0462291
"Richard Dreyfuss"	0.0462029
"Angelina Jolie"	0.046038
"James Van Der Beek"	0.0459067
"Rupert Everett"	0.0458421
"Ben Stiller"	0.0455893
Cher	0.0455389
"Edward Norton"	0.0455307
"Ethan Hawke"	0.0451981
"Regis Philbin"	0.0451887
"Neve Campbell"	0.0451742
"Bruce Willis"	0.0450573
"Lisa Kudrow"	0.0445937
"Sela Ward"	0.044497
"Barbra Streisand"	0.0444301
"Samuel L. Jackson"	0.0438366
"Anthony Hopkins"	0.0435934
Kilborn	0.0435532
"Sylvester Stallone"	0.0433008
"Jerry Lewis"	0.0427459
Jay-Z	0.0426589
"Dustin Hoffman"	0.0421126
O'Donnell	0.0420713
"Kevin Spacey"	0.0419444
"Cuba Gooding Jr."	0.0417442
"Antonio Banderas"	0.0417004
Madonna	0.0416352
"Puff Daddy"	0.0414755
Cosby	0.0411164
Damon	0.0409189
"Michael Douglas"	0.0408533
"Tony Bennett"	0.0408501
"Jodie Foster"	0.0406611
"Paul Reiser"	0.0405622
"Woody Harrelson"	0.0405439
"Taye Diggs"	0.0405403
"Kathie Lee Gifford"	0.0404958
))
("Chris Simms" (desc 1656.11) (sims
"Marcus Outzen"	0.197408
"Ryan McCann"	0.186226
"Michael Vick"	0.180874
"Drew Henson"	0.169481
"Major Applewhite"	0.165746
"Quincy Carter"	0.164894
"Damon Huard"	0.157546
"Dave Brown"	0.156864
"Ryan Kealy"	0.155561
"Mike Van Raaphorst"	0.148386
Simms	0.142664
"Chris Weinke"	0.141233
"Ty Detmer"	0.138837
"Carson Palmer"	0.136796
"Drew Bennett"	0.135872
"Tee Martin"	0.133271
"Cory Paus"	0.129745
"Bobby Newcombe"	0.129419
"Sultan McCullough"	0.129288
"Trent Green"	0.129123
"Rich Gannon"	0.128582
"Gus Frerotte"	0.128417
"DeShaun Foster"	0.126179
"Kent Graham"	0.121367
"Doug Pederson"	0.118012
"Glenn Foley"	0.11774
"Ray Lucas"	0.115828
"Richard Jefferson"	0.115818
"Brandon Granville"	0.111197
"Brian Griese"	0.110964
"Scott Zolak"	0.110555
"Bubby Brister"	0.108652
"Eric Zeier"	0.108478
"Peyton Manning"	0.108403
"Phil Simms"	0.108246
"Paul Justin"	0.107272
"Wane McGarity"	0.106825
"Trent Dilfer"	0.106576
"JOHN FRIESZ"	0.105901
"Michael Bishop"	0.105548
"Steve DeBerg"	0.104911
"Chad Pennington"	0.104679
"Ken Kocher"	0.104059
"Sam Clancy"	0.103475
"Rodney Peete"	0.102615
"Steve Beuerlein"	0.102295
"Erik Kramer"	0.102118
"Tony Graziani"	0.100845
"Brock Huard"	0.100529
"JaRon Rush"	0.0993562
Toombs	0.0984737
"Kerry Collins"	0.0980105
"Rob Johnson"	0.0978018
"Tom Brady"	0.0977271
"Ray Young"	0.0968612
"Todd Husak"	0.0964946
"Rick Mirer"	0.0963749
"Keith Smith"	0.095838
"Jeff George"	0.0954398
"Dan Gadzuric"	0.0952262
"Brad Johnson"	0.0950211
"Jason Garrett"	0.0948876
"Tony Banks"	0.0925956
Griese	0.092359
"Ortege Jenkins"	0.0902337
"Jim Druckenmiller"	0.0892977
"Jarious Jackson"	0.0886839
"Randall Cunningham"	0.0886805
"Akili Smith"	0.088618
"Michael Wright"	0.0852913
"Jeff Blake"	0.0849215
"Neil O'Donnell"	0.0833369
signee	0.0832912
"John Fox"	0.0824751
"Matt Barnes"	0.0821476
"Donovan McNabb"	0.082001
"Jeff Garcia"	0.0811963
"Warren Moon"	0.0811668
Applewhite	0.0803627
"Tim Couch"	0.0797795
"Mike Miller"	0.0796879
"Danny Kanell"	0.079294
"Daunte Culpepper"	0.0792751
"Jerome Moiso"	0.0788268
"Jermaine Lewis"	0.078209
"Charlie Batch"	0.0779561
"Cade McNown"	0.0776544
"Danny Wuerffel"	0.0774186
"Martin Luther King III"	0.0770249
"Bobby Hoying"	0.0762898
"Shaun King"	0.0759449
Weinke	0.0751416
"Jon Kitna"	0.0730846
"Tamika Catchings"	0.0726032
"Charlie Ward"	0.072236
"Steve McNair"	0.0705573
"Jim Kelly"	0.0697952
Speedster	0.0697509
linemen	0.0694526
"Kareem Kelly"	0.0692051
"Jim Harbaugh"	0.0691858
"Terry Bradshaw"	0.0676729
"Vinny Testaverde"	0.0675096
Druckenmiller	0.0675068
"Kurt Warner"	0.0673867
"Dan Marino"	0.067315
"Desert Hero"	0.0670402
"Elvis Grbac"	0.0665749
"Steve Campbell"	0.0663854
McGarity	0.0663221
"Erick Barkley"	0.0661545
phenoms	0.0653758
"Drew Brees"	0.0652122
"Manny Fernandez"	0.064991
"Adam Petty"	0.0649503
"Dez White"	0.0649491
"Sedrick Shaw"	0.064924
"Roger Staubach"	0.0647521
"Ryan Leaf"	0.0645011
"Scott Mitchell"	0.0643991
"Jake Plummer"	0.0636399
"Drew Bledsoe"	0.0630991
"Billy Knight"	0.0628334
"Bashar Assad"	0.0624926
"Doug Flutie"	0.0624291
"Chris Chandler"	0.0622493
"Doug Johnson"	0.0619377
"Freddie Mitchell"	0.0611761
"Joe Montana"	0.0611319
Tupa	0.0608203
"Earnhardt Jr."	0.0606587
"Troy Aikman"	0.0606495
"Rob Tallas"	0.0599959
"Michael Redd"	0.0593082
"Brett Favre"	0.0590188
"Lamar Odom"	0.0583917
Kanell	0.0582772
"Bill Ranford"	0.0580644
"Windrell Hayes"	0.0576557
"freshman class"	0.0572023
walk-on	0.057146
"Marcell Allmond"	0.0570132
"Jumaine Jones"	0.0569005
Detmer	0.0561335
"Joe Hamilton"	0.0560432
Layden	0.0559099
"Gabe Muoneke"	0.055849
"William Avery"	0.0558076
"John Kim"	0.0553978
"Jeff Trepagnier"	0.0552668
"Steve Young"	0.0548919
Knievel	0.0545908
"Jason Kapono"	0.0544613
"Ryan Bailey"	0.0538915
"Gregg Zaun"	0.0535384
"Mike Williams"	0.0533528
"Jamal Lewis"	0.053204
"two pitchers"	0.0530063
Garrett	0.0527918
"Khalid El-Amin"	0.0527243
"Tony White"	0.0525973
"Joe Namath"	0.0525695
swingman	0.0525077
Brister	0.0521498
"Kordell Stewart"	0.0520753
"Earl Watson"	0.0520678
Huard	0.0517427
Brees	0.0514543
"Robert F. Kennedy Jr."	0.0514099
"Joe Kleine"	0.0512158
QBs	0.0506778
"Todd Collins"	0.0505318
"Tom Tupa"	0.0500717
Washingtonian	0.0497712
cornerbacks	0.0493346
"Johnny Unitas"	0.0488338
"Magic Johnson"	0.0488213
Cunningham	0.0487399
"Catherine Deneuve"	0.0485305
flanker	0.0481837
T.J	0.0481749
"Brian Moehler"	0.0478785
"Herb Williams"	0.0477398
"Rico Hines"	0.0475275
"Pete Holland"	0.0475136
"Larry Hughes"	0.0474786
"Jeff Weaver"	0.0474581
"Kyle Brady"	0.0472585
"Kris Clack"	0.0470596
"Ryan Dempster"	0.0470484
"Steve Shields"	0.0467774
"Marques Anderson"	0.046334
"Boomer Esiason"	0.0461685
Lori	0.0460923
McNown	0.0460864
"James Brown"	0.0460177
Calloway	0.0458115
"John Connally"	0.0449734
Mahomes	0.044938
"Michael Kennedy"	0.0447635
))
("Chris Slade" (desc 2276.19) (sims
"Ted Johnson"	0.295459
"Tedy Bruschi"	0.276002
"Willie McGinest"	0.271543
"Todd Collins"	0.262321
"Ty Law"	0.247571
"Chad Eaton"	0.223769
"Henry Thomas"	0.207064
"Terry Glenn"	0.189852
Slade	0.189582
"Bruce Armstrong"	0.183666
"Brandon Mitchell"	0.167259
"Ferric Collons"	0.164828
"Max Lane"	0.162974
"Willie Clay"	0.160017
"Steve Israel"	0.156095
"Andy Katzenmoyer"	0.140901
"Chris Canty"	0.128231
"Tebucky Jones"	0.127006
"Troy Brown"	0.121953
Milloy	0.120145
"Vincent Brisby"	0.117776
"Shawn Jefferson"	0.116455
"Chad Brown"	0.116037
"Zach Thomas"	0.115091
"Adam Vinatieri"	0.112677
"Dave Wohlabaugh"	0.107674
"Ben Coates"	0.106274
"Drew Bledsoe"	0.104748
"Tony Carter"	0.104633
"Darrin Smith"	0.0954615
Katzenmoyer	0.091111
"Ernie Zampese"	0.0882193
"Robert Edwards"	0.0878004
"Tom Tupa"	0.0831224
"Heath Irwin"	0.0829634
"Damien Woody"	0.081737
"Jamir Miller"	0.0802853
"Henri Crockett"	0.0798202
"Mo Lewis"	0.0787497
"Bryan Cox"	0.0784846
"Kevin Faulk"	0.0751402
McGinest	0.0743437
"Pete Carroll"	0.0740711
"Ryan Nece"	0.0734618
"Randall Godfrey"	0.0723203
"Dexter Coakley"	0.0717439
Bledsoe	0.0707748
"Jessie Armstead"	0.0699467
"Quentin Coryatt"	0.0681047
"Curtis Martin"	0.0679345
"Pepper Johnson"	0.06627
"Derrick Thomas"	0.065897
"John Lynch"	0.065815
"Al Groh"	0.0649677
"LaVar Arrington"	0.0645514
Faulk	0.064054
"Todd Rucci"	0.0614402
"Scott Zolak"	0.0614205
"Tony White"	0.0614018
"Bruce Matthews"	0.0601834
"Jessie Tuggle"	0.0600956
"Cornelius Bennett"	0.0595328
"Chris Claiborne"	0.0590859
Difrancesco	0.058431
Eaton	0.0576154
Coates	0.0575478
"Mike Jones"	0.0570189
"Keith Brooking"	0.0566256
Andreychuk	0.0565921
"Simeon Rice"	0.0559777
"Bill Romanowski"	0.0545798
Whipple	0.0544948
Brisby	0.05397
Mustafa	0.0529709
"JOHN FRIESZ"	0.0511592
Ganassi	0.0507434
"Dat Nguyen"	0.0504901
Gullikson	0.0501216
Diggs	0.0492311
"Chris Carter"	0.0490176
"JEVON KEARSE"	0.0488173
"Rick Mirer"	0.0484277
Scelzi	0.0481507
Spurrier	0.0475912
"Brian Cashman"	0.0475026
Godfrey	0.0467845
"Dave Hollins"	0.0467806
Geiger	0.0466546
Biffle	0.0465532
Krzyzewski	0.0462477
"Robert Thomas"	0.0459526
Canty	0.0457376
Strauss-Kahn	0.0452473
Gauthier	0.044261
beamer	0.0442076
"Eric Zeier"	0.0441962
"Dana Barros"	0.044091
Triplett	0.0440778
Nickerson	0.0436953
Passarella	0.0430901
"Michael Smith"	0.0430265
"Mark Brunell"	0.0430197
"Otis Smith"	0.0430148
Ebersol	0.0428921
Prewitt	0.0424915
Schmitt	0.0423187
Venter	0.0423027
Joklik	0.0422325
"Charles Woodson"	0.0420963
"Ryan McCann"	0.0419841
Laudrup	0.0418417
Rubenstein	0.0413357
"David Boston"	0.0413149
"Jim Kelly"	0.0412541
Sahadi	0.0411634
Recchi	0.0408128
McKenna	0.0407299
Fleischer	0.0405291
"Peter Bondra"	0.0405218
Jayakumar	0.0401049
"Dedric Ward"	0.0400672
Tuberville	0.0400055
))
("Chris Smith" (desc 2320.83) (sims
"Christopher Smith"	0.27224
"Marge Roukema"	0.198133
"George Miller"	0.17463
"Tom Campbell"	0.168206
"Bob Franks"	0.158795
"Donna Shalala"	0.157441
"Michael Portillo"	0.136914
"Robin Cook"	0.133358
"Lamar Smith"	0.132123
"Carolyn McCarthy"	0.127734
"Mark Foley"	0.12586
"Charles Canady"	0.125443
"Andrew Cuomo"	0.123653
"John Conyers"	0.123595
"John Boehner"	0.123568
"Dan Miller"	0.123364
"Jonathan Demme"	0.123215
"Jerrold Nadler"	0.123097
"Christopher Shays"	0.122265
"Lee Hamilton"	0.122202
"Jim Kolbe"	0.121987
"John Dingell"	0.12145
"David Dreier"	0.120984
"Christopher Cox"	0.118805
"Steven Soderbergh"	0.118671
"Jia Qinglin"	0.118325
"Robert E. Rubin"	0.117894
"Dan Glickman"	0.117014
"Jim Leach"	0.11508
"Henry Cisneros"	0.113433
"J.C. Watts"	0.111639
"Wes Craven"	0.111167
"Mo Mowlam"	0.111051
"Rob Reiner"	0.110666
"Martin Meehan"	0.11008
"Steve Largent"	0.109229
"Orlando Mercado"	0.109156
"Bill McCollum"	0.108984
"Robert Menendez"	0.108752
"Bernard Sanders"	0.10625
"Benjamin Gilman"	0.106111
"Nita Lowey"	0.102964
"Charles Rangel"	0.101968
"Michael Heseltine"	0.101724
"Porter Goss"	0.101617
"Peter Mandelson"	0.101232
"Jack Quinn"	0.101048
"Ed Bryant"	0.099864
"Charlie Norwood"	0.098768
"George Gekas"	0.0987409
"Anson Chan"	0.0977667
"Sue Kelly"	0.0970413
"John Lewis"	0.0969117
"Curt Weldon"	0.0960304
"Peter King"	0.0956048
"Paul Schrader"	0.0949592
"Ron Paul"	0.0941521
"Jack Straw"	0.094015
"Julie Taymor"	0.0937712
"Bob Barr"	0.0936841
"Henry Bonilla"	0.0932499
"Maxine Waters"	0.0926222
"Asa Hutchinson"	0.0924701
"Bill Richardson"	0.0914929
"Jose Serrano"	0.0914837
"Lawrence Summers"	0.0902073
"Sheila Jackson Lee"	0.0901943
"Tom Coburn"	0.089821
"Greg Ganske"	0.0892572
"Jack Kemp"	0.0890425
"Spike Lee"	0.0876486
"Tillie Fowler"	0.086935
"Barney Frank"	0.0868783
"Lloyd Doggett"	0.0862602
"Rodney Slater"	0.0856174
"John Linder"	0.0855774
"Jim Bunning"	0.085536
"Terrence Malick"	0.0853268
"Rick Lazio"	0.0848683
"Nancy Pelosi"	0.0846636
"Jim McDermott"	0.0845794
"Mickey Kantor"	0.084444
"Nancy Johnson"	0.0835593
"Zoe Lofgren"	0.0835105
"Patrick Kennedy"	0.0832112
"Charles E. Schumer"	0.0832062
"Sam Mendes"	0.0827321
"Carolyn Maloney"	0.0826332
"William Daley"	0.0822352
"Martin Frost"	0.0819957
"Charles Schumer"	0.0819237
"Billy Tauzin"	0.0813634
Allard	0.0812332
"Kevin Williamson"	0.080122
"Tom Davis"	0.0800407
"Dan Burton"	0.0795972
"Jim Turner"	0.0792378
"James Sensenbrenner"	0.0790722
"Jennifer Dunn"	0.0790622
"Khin Nyunt"	0.0789519
"William Perry"	0.0781222
"Matt Salmon"	0.0780415
"Stuart Eizenstat"	0.0780086
"George Nethercutt"	0.0779217
"David Lynch"	0.077454
"Pedro Almodovar"	0.0756453
"Tony Coelho"	0.0751037
"Charles Stenholm"	0.0749432
"John Madden"	0.0745457
"Betty Currie"	0.0744476
"William Bennett"	0.0742001
"Bill Archer"	0.0740882
"John Kasich"	0.073748
Wiseman	0.0733781
"Robert Livingston"	0.0726416
"Huang Ju"	0.0725152
"David Bonior"	0.0719692
"Stanley Kubrick"	0.0713431
"Connie Morella"	0.0713333
"James Rogan"	0.0711372
"Bill Thomas"	0.0709031
"Mary Bono"	0.0701489
"Sherwood Boehlert"	0.0690466
"Kyle Brady"	0.0685966
"George Robertson"	0.0682984
"Henry Waxman"	0.0682805
"Lindsey Graham"	0.0680896
"Steve Chabot"	0.0677239
"Tin Oo"	0.0675146
"Neil LaBute"	0.0674066
Siazon	0.0668635
"Norm Dicks"	0.0668416
"Robert Aventajado"	0.0660464
"Defense William Cohen"	0.0657269
"Mastercard International"	0.0650823
"Robert Reich"	0.0650057
"John Waters"	0.0649518
"John Prescott"	0.0649515
"Linda Smith"	0.0644603
"Ron Howard"	0.0643651
"Joe Lockhart"	0.0642988
"Tom DeLay"	0.0636029
"Ron Brown"	0.0635389
"Sonny Bono"	0.0634949
"Mark Green"	0.0630419
"John Sweeney"	0.0629312
"Frank Lautenberg"	0.0623655
"Don Young"	0.0622321
"Jack Kingston"	0.0617675
"Bob Sura"	0.0612286
"Amo Houghton"	0.0610637
"Loretta Sanchez"	0.0609207
"Bruce Teitelbaum"	0.0607067
"Mike Espy"	0.0606343
"Kevin Smith"	0.0605417
"Henry Hyde"	0.060215
"Dick Cheney"	0.0602069
frist	0.0599145
"William Cohen"	0.0597985
Lugar	0.0593629
"Adem Demaci"	0.0591419
"Guy Millner"	0.0591403
"Tim Johnson"	0.0587471
"Rick White"	0.0585249
"Richard Gephardt"	0.0585159
Inhofe	0.0584111
"Faisal Husseini"	0.0583904
"Charlene Barshefsky"	0.0574043
"David Smith"	0.0571478
Brownback	0.0570866
"Bob Livingston"	0.057015
"Mark Sanford"	0.0569075
"Gary Johnson"	0.0568391
"Republican Leadership Council"	0.0567659
"Robert C. Byrd"	0.0567429
"Tom Kelly"	0.0565369
"Robert Rubin"	0.0565296
"Roy Barnes"	0.0564934
"Nora Ephron"	0.0564825
"Dick Armey"	0.0563476
"Mike Jones"	0.0555134
Snowe	0.055505
Domenici	0.0547596
"John Morris"	0.0546075
"Alexander Hamilton"	0.0545656
"Igor Ivanov"	0.0544997
"Martin Scorsese"	0.0544581
"Steven Spielberg"	0.0543818
"Tim Burton"	0.0541595
"Alexander Lebed"	0.0539189
"Michael Forbes"	0.0538651
"Secretary General Esmat Abdul-Meguid"	0.0528313
"John Breaux"	0.0527199
Murkowski	0.0522871
"KEN BURNS"	0.0522745
"Robert Byrd"	0.0522057
Kyl	0.052104
McConnell	0.051668
"Wei Jianxing"	0.0516103
"World Jewish Congress"	0.0515762
))
("Chris Taylor" (desc 1140.07) (sims
"Steve Heinze"	0.209567
"Tim Taylor"	0.207989
"Anson Carter"	0.202827
"Jason Allison"	0.200727
"Dmitri Khristich"	0.188118
"Landon Wilson"	0.184369
"Ken Belanger"	0.184027
"Joe Thornton"	0.168739
"Hal Gill"	0.160823
"Kevin Williams"	0.159296
"Windrell Hayes"	0.155679
"Oronde Gadsden"	0.145479
"Yancey Thigpen"	0.143375
"Danny Farmer"	0.141767
"Andre Rison"	0.141258
"Peerless Price"	0.138118
"Raghib Ismail"	0.131244
"Amani Toomer"	0.128677
"P.J Axelsson"	0.128376
"Torry Holt"	0.128303
"Kyle McLaren"	0.126122
"Chris Calloway"	0.126043
"Jimmy Smith"	0.125728
"Brad Miller"	0.124686
"Jeff Ogden"	0.124342
"Robert Brooks"	0.123721
"Dez White"	0.123045
"Michael Westbrook"	0.12243
"J.J Stokes"	0.122354
"Rob Moore"	0.122131
"David Boston"	0.121234
"Freddie Mitchell"	0.117484
"Eric Moulds"	0.116909
"Derrick Alexander"	0.116436
"James McKnight"	0.116415
"Sergei Samsonov"	0.115931
"Billy Davis"	0.115879
"Manny Malhotra"	0.114641
"Andre Reed"	0.11425
"Scot Pollard"	0.113925
"Raef LaFrentz"	0.113684
"Byron Dafoe"	0.113354
"R. Jay Soward"	0.113141
"Sean Farnham"	0.112931
"Carl Pickens"	0.112906
"Cliff Ronning"	0.112871
"Ike Hilliard"	0.112652
"Kevin Dyson"	0.1104
"Terance Mathis"	0.110109
"Frank Sanders"	0.109897
"Marcell Allmond"	0.10966
"Wane McGarity"	0.108872
"Rob DiMaio"	0.107466
"Kenny Thomas"	0.107441
"Tony Simmons"	0.105975
"Derrick Mayes"	0.105271
"Otis Thorpe"	0.104972
"HERMAN MOORE"	0.103353
"Tim Dwight"	0.10332
"Jason Tucker"	0.103156
"Chris Drury"	0.103142
"Joe Kleine"	0.101928
"Ted Donato"	0.101258
"Brian Poli-Dixon"	0.101023
"Travis Knight"	0.100828
"Rico Hines"	0.100817
"Juha Ylonen"	0.0994161
"Dave Andreychuk"	0.0985988
"Kris Clack"	0.0978101
"CORIE BLOUNT"	0.0977138
"Kevin Johnson"	0.0973303
"Kareem Kelly"	0.0972254
"Lynn Swann"	0.096971
"Tim Brown"	0.096934
"Ike Austin"	0.0958607
"Ernie Mills"	0.0958317
"Chris Anstey"	0.0957645
"Brian Scalabrine"	0.0953104
"Scott Gomez"	0.0948822
"Olli Jokinen"	0.0948461
"Mark Stepnoski"	0.0945645
"Vincent Damphousse"	0.0945072
"Rodney Rogers"	0.094157
"Peter Warrick"	0.0936827
"Lee Nailon"	0.0935874
"Ron Francis"	0.093511
"Rod Smith"	0.0934566
"Marvin Harrison"	0.0933121
"Antonio Freeman"	0.0931122
"Don Sweeney"	0.0929181
"Eric Metcalf"	0.0923444
"Shannon MacMillan"	0.0919863
"Rocket Ismail"	0.0916162
"Wayne Chrebet"	0.0915001
"Ed McCaffrey"	0.0912081
"Adam Oates"	0.0906375
"Doug Gilmour"	0.0901371
"Dale Hunter"	0.0898424
"Blake Sloan"	0.0896882
"Joey Galloway"	0.0894268
"Troy Brown"	0.0892118
"Brian Skinner"	0.0886621
"Pierre Turgeon"	0.0880925
"Mike Sullivan"	0.0874623
"Dave Wohlabaugh"	0.0869674
"Chris Crawford"	0.0867654
"Jelani McCoy"	0.0867571
"Grant Long"	0.0866751
"Keith Primeau"	0.0866597
"Rae Carruth"	0.086451
"Sean Rooks"	0.0863948
"Austin Croshere"	0.0863196
"Jake Reed"	0.085817
"Jermaine O'Neal"	0.0855581
"Quentin Coryatt"	0.0854317
"Alexei Kovalev"	0.0851231
"Terrell Owens"	0.0847556
"Clarence Weatherspoon"	0.0847484
"Vincent Brisby"	0.0843654
"Sergei Fedorov"	0.0837879
"Kenyon Martin"	0.0826429
"Jerome Moiso"	0.0825257
"Dedric Ward"	0.0821836
"Aaron Williams"	0.0820009
"Travis Green"	0.0817321
"Etan Thomas"	0.0817164
"Bob Corkum"	0.0816638
"Horace Grant"	0.081298
Belanger	0.0811291
"Patrik Stefan"	0.0808457
"Shawn Jefferson"	0.0803323
"Guy Carbonneau"	0.0791657
"Todd MacCulloch"	0.0785574
"Joe Juneau"	0.0783937
"Tyrone Nesby"	0.0781059
"John Wallace"	0.0779433
"Pavol Demitra"	0.0773988
"Rob Tallas"	0.0773605
Suker	0.0772025
"Isaac Bruce"	0.0768752
"Derrick Coleman"	0.0767894
"Clifford Robinson"	0.0767287
"Joe Murphy"	0.0764331
"John Grahame"	0.0763282
"Theo Ratliff"	0.076232
"Marty McSorley"	0.0758387
"Shawn Marion"	0.0757017
"Antoine Carr"	0.0753905
"Tina Thompson"	0.07521
"Bonzi Wells"	0.0750953
"Samaki Walker"	0.0750147
"Cris Carter"	0.0749826
"Vlade Divac"	0.0749132
"Matt Barnes"	0.074465
"Jonathan Bender"	0.0743133
"Sam Perkins"	0.0738469
"Tony Martin"	0.0729946
DiMaio	0.0727782
"Jermaine Lewis"	0.0727164
"Corliss Williamson"	0.0726415
"Jake Voskuhl"	0.0725242
"Lamond Murray"	0.0715886
"Oliver Miller"	0.0711385
"Yanic Perreault"	0.0707731
"Steve Rucchin"	0.0707509
"Tony Massenburg"	0.0706304
"Mark Bryant"	0.0705251
"Bobby Holik"	0.0704277
"Aaron Gavey"	0.0702499
"Robert Traylor"	0.0700781
"Brian Skrudland"	0.0699463
"Matt Luke"	0.0694339
"Alexei Yashin"	0.0692769
Toombs	0.0691292
"Ray Ferraro"	0.0690041
"Derek Plante"	0.0690006
"DeLisha Milton"	0.0688659
"Matt Geiger"	0.0685887
"Bill Wennington"	0.0685567
"Hu Weidong"	0.0685408
"Rashard Lewis"	0.0680352
"Ante Razov"	0.0677194
"Kazuhiro Sasaki"	0.067318
"Cedric Ceballos"	0.0671179
"Bobby Brown"	0.06711
"Jerome Kersey"	0.0669428
"Donyell Marshall"	0.0667691
"Gabe Muoneke"	0.0664159
"Theo Fleury"	0.0661291
"Keith Tkachuk"	0.0660406
"Doug Johnson"	0.0659119
"Elden Campbell"	0.0658399
"Terry Glenn"	0.0656122
"Olden Polynice"	0.0655914
"Yao Ming"	0.0654874
"Doug Weight"	0.0647877
"George McCloud"	0.0646827
"Michael Peca"	0.064655
"Morris Peterson"	0.0645804
"Jeremy Roenick"	0.063916
))
("Chris Warren" (desc 2835.65) (sims
"Billy Davis"	0.185769
"Daryl Johnston"	0.178059
"Ernie Mills"	0.171554
"Rocket Ismail"	0.169457
"Emmitt Smith"	0.16317
"Mark Stepnoski"	0.161439
"Erik Williams"	0.160529
"Michael Irvin"	0.158616
"Adrian Murrell"	0.147084
"Darren Woodson"	0.146977
"Stephen Davis"	0.134346
"Everett McIver"	0.133921
"Jason Garrett"	0.129981
"David LaFleur"	0.129138
"Trung Canidate"	0.128692
"James McKnight"	0.128612
"Mike Cloud"	0.128416
"Ricky Watters"	0.127053
"Tony Dorsett"	0.124718
"Terry Allen"	0.124393
"Kevin Mathis"	0.123761
"Deion Sanders"	0.123452
"Leon Johnson"	0.123244
"Jason Tucker"	0.121579
"Wane McGarity"	0.119967
"Charlie Garner"	0.119417
"Raghib Ismail"	0.119089
"Jeff Ogden"	0.118847
"Karim Abdul-Jabbar"	0.117113
"Larry Allen"	0.116587
"Robert Smith"	0.113921
"Skip Hicks"	0.112031
"Tyrone Wheatley"	0.108874
"Mike Alstott"	0.108818
"DeShaun Foster"	0.107871
"Chad Morton"	0.107576
Irvin	0.107524
"Troy Aikman"	0.107379
"Gary Brown"	0.107021
"Byron Hanspard"	0.106927
"Paul Justin"	0.105933
"Sedrick Shaw"	0.104361
"Terrell Davis"	0.104036
"Joey Galloway"	0.103708
"Herschel Walker"	0.103399
"Charlie Williams"	0.100568
"Robert Edwards"	0.0997005
"George Teague"	0.0996844
"Thomas Jones"	0.0993412
"Sherman Douglas"	0.0989943
"Eddie George"	0.0984609
"Warrick Dunn"	0.0972715
"Leon Lett"	0.0968521
CORYATT	0.094549
"Tiki Barber"	0.0939141
"Jackie Harris"	0.0932491
"Curtis Martin"	0.0921477
"Bill Haselman"	0.0921015
"Ron Dayne"	0.0919586
"Dorsey Levens"	0.0919273
"Nate Newton"	0.091909
"Tony Hutson"	0.0914308
"Jamal Lewis"	0.0904617
"Jamal Anderson"	0.0904286
McGarity	0.0898823
"Kevin Smith"	0.0894444
"Fred Taylor"	0.0890548
"Jeff George"	0.0874644
STALEY	0.0871314
"Michael Wiley"	0.0871281
"Curtis Enis"	0.0860843
"David Palmer"	0.0860153
"Yancey Thigpen"	0.0859779
"Ed McCaffrey"	0.0859265
"James Johnson"	0.0858845
"John Avery"	0.0850169
"Steve DeBerg"	0.0844932
"Edgerrin James"	0.0844768
"Lawrence Phillips"	0.0834482
"Dexter Coakley"	0.0832502
"Dave Brown"	0.0830323
"Roger Staubach"	0.0828923
Warren	0.0824927
"Keith Brown"	0.0815642
"Otis Thorpe"	0.0813438
"Jerome Bettis"	0.0811443
"Barry Sanders"	0.0789491
"Ebenezer Ekuban"	0.0783905
"Randall Godfrey"	0.078329
Turgeon	0.0782015
Blaylock	0.0780766
Galloway	0.0775837
"Brad Miller"	0.0774397
"Scott Zolak"	0.0774032
Hardeman	0.077067
"HERMAN MOORE"	0.0764733
"Kavika Pittman"	0.0762891
Emmitt	0.0759246
"Steve Beuerlein"	0.0756335
"Thurman Thomas"	0.075073
"Neil O'Donnell"	0.0750407
"Ricky Williams"	0.0745754
"Glenn Foley"	0.0741148
"Antoine Carr"	0.0740123
"Larry Centers"	0.0739783
"Brian Shaw"	0.073935
"Quentin Coryatt"	0.0735582
"Terry Porter"	0.0727217
"Flozell Adams"	0.0725248
"Jimmy Smith"	0.0724862
Mathis	0.0724378
"Eric Murdock"	0.0723836
"Greg Ellis"	0.0723655
"Joe Kleine"	0.07225
"Shaun Alexander"	0.0721178
"Jim Druckenmiller"	0.0716606
Toombs	0.0716556
"Chris Dudley"	0.0707879
"Marshall Faulk"	0.0705946
"Manny Fernandez"	0.0703905
"Luis Hernandez"	0.0702926
"Tony Graziani"	0.0700066
"Jim Brown"	0.0695081
"Rich Gannon"	0.069323
"Ulf Kirsten"	0.0691724
"Jamie Storr"	0.0690141
"Marcus Allen"	0.0690028
Aikman	0.0685623
"Voshon Lenard"	0.0685617
"Kent Graham"	0.0684544
"Ken Kocher"	0.0679331
"James Stewart"	0.0677998
Ismail	0.0676376
"Jaren Jackson"	0.0674966
"Rod Smith"	0.0671895
Andreychuk	0.0668526
Vizcaino	0.066465
"Derek Harper"	0.0664304
"Rodney Peete"	0.0662108
"Walter Payton"	0.0658041
"Dale Carter"	0.0657686
"Doug Pederson"	0.0655814
"Alan Henderson"	0.0655575
"Jon Kitna"	0.0653264
"Mikhail Shtalenkov"	0.0652849
"Brian Poli-Dixon"	0.0650707
"Jeff Blake"	0.065038
"Trent Green"	0.0645214
"Jeff Garcia"	0.0641639
"Billy Knight"	0.0637791
Grbac	0.0637527
"Shandon Anderson"	0.0636569
"Drew Bennett"	0.0635934
"Mark Tuinei"	0.0635476
"Cris Carter"	0.0631738
"Phillippi Sparks"	0.0630885
Sanders	0.0629571
"Steve Kerr"	0.062929
"Cecil Collins"	0.0627923
"Garrison Hearst"	0.062646
"Doug Johnson"	0.0623172
"Scot Pollard"	0.0623048
"Robert Thomas"	0.0620528
Checo	0.0619018
"Ty Law"	0.0617763
"Michael Booker"	0.0616728
"John Salley"	0.0615237
"Shannon MacMillan"	0.0612729
"Gus Frerotte"	0.0611285
"Samaki Walker"	0.0608171
"Danny Farmer"	0.0607644
"Ray Buchanan"	0.0605976
"Sultan McCullough"	0.0602444
"Carlos Hermosillo"	0.0602395
"Eddie Perez"	0.0601829
"Travis Knight"	0.0601658
Lett	0.0600197
"Kevin Faulk"	0.0599849
"Matt Franco"	0.059818
Watters	0.0598117
"Brian Skinner"	0.0597315
"Stern John"	0.0595825
"Damon Huard"	0.0593865
Cleaves	0.0593096
"Anthony Johnson"	0.0592989
"Mo Lewis"	0.0591475
Veras	0.0588654
"Chad Brown"	0.0581102
Murrell	0.0579135
Agbayani	0.0578769
"Eric Dickerson"	0.0578603
"Dwayne Goodrich"	0.057844
"Chris Childs"	0.0577659
"GERONIMO BERROA"	0.0576437
"Shane Dronett"	0.0576209
"Troy Brown"	0.0575876
"Sean Rooks"	0.0575503
Gossage	0.0575282
"Ray Lucas"	0.0574875
"Luis Sojo"	0.057467
))
("Chris Webber" (desc 8778.68) (sims
"Alonzo Mourning"	0.217882
"Juwan Howard"	0.216457
"Corliss Williamson"	0.213273
"Vin Baker"	0.211371
"Jason Williams"	0.210638
"Kevin Garnett"	0.204881
"Gary Payton"	0.197654
"Penny Hardaway"	0.186039
"Mitch Richmond"	0.185082
"Grant Hill"	0.182627
"Jason Kidd"	0.177182
"Tim Duncan"	0.173914
"Shawn Kemp"	0.172469
"Vlade Divac"	0.168652
"Vince Carter"	0.168468
"Tom Gugliotta"	0.161992
"Keith Van Horn"	0.160899
"Nick Anderson"	0.154467
"Scottie Pippen"	0.153706
"Maurice Taylor"	0.151164
"Rod Strickland"	0.150966
"Allen Iverson"	0.148812
"Stephon Marbury"	0.147721
"Antawn Jamison"	0.147116
"Tim Hardaway"	0.14608
"Anfernee Hardaway"	0.144521
"Joe Smith"	0.143847
"Reggie Miller"	0.14328
"Steve Smith"	0.142351
"Ray Allen"	0.141289
"Karl Malone"	0.141016
"David Robinson"	0.138327
"Charles Barkley"	0.137425
"Arvydas Sabonis"	0.135888
"A.C. Green"	0.135653
"Shaquille O'Neal"	0.13458
"Shareef Abdur-Rahim"	0.133718
"Matt Geiger"	0.132415
"Jerry Stackhouse"	0.131592
"Anthony Mason"	0.130919
"Patrick Ewing"	0.130818
"Brian Grant"	0.13004
"Derrick Coleman"	0.129655
"Hakeem Olajuwon"	0.129475
"Antonio McDyess"	0.1285
"Rasheed Wallace"	0.128303
"Christian Laettner"	0.127991
"Sam Clancy"	0.127818
"Toni Kukoc"	0.125402
"Antoine Walker"	0.124699
"Kobe Bryant"	0.12342
"Michael Finley"	0.122651
"Isaiah Rider"	0.122488
"Glen Rice"	0.122076
"Dikembe Mutombo"	0.121813
"P.J Brown"	0.121642
"J.R Reid"	0.121374
"Alan Henderson"	0.121087
"Kurt Thomas"	0.118899
"Paul Pierce"	0.118791
"Eddie Jones"	0.118784
Webber	0.118509
"Allan Houston"	0.117947
"Robert Horry"	0.117837
"Tracy McGrady"	0.117025
"Larry Johnson"	0.116449
"Damon Stoudamire"	0.114676
"Latrell Sprewell"	0.114433
"Lamond Murray"	0.113315
"John Stockton"	0.112706
"Glenn Robinson"	0.111185
"Danny Fortson"	0.111061
"Vernon Maxwell"	0.110895
"Clifford Robinson"	0.110647
"Theo Ratliff"	0.109057
"Dominique Wilkins"	0.10859
"Terrell Brandon"	0.108263
"Antonio Davis"	0.106129
"Kenyon Martin"	0.106074
"Cedric Ceballos"	0.105843
"Detlef Schrempf"	0.10531
"Yolanda Griffith"	0.105258
"Horace Grant"	0.104984
"Rick Fox"	0.104874
"Raef LaFrentz"	0.10375
"Jalen Rose"	0.103675
"Sean Elliott"	0.103573
"Jumaine Jones"	0.103329
"Dale Davis"	0.103279
"Austin Croshere"	0.102743
"Chris Gatling"	0.102121
"Joe Dumars"	0.101218
"Marcus Camby"	0.101171
"Shawn Marion"	0.100494
"Tim Thomas"	0.100486
"Ron Mercer"	0.100428
"Chris Porter"	0.0998603
"Darrell Armstrong"	0.0996091
"Donyell Marshall"	0.0985612
"Eric Snow"	0.0981987
"Gabe Muoneke"	0.0977375
"Jayson Williams"	0.0973455
"Dennis Rodman"	0.0969334
"Michael Wright"	0.0960141
"Dan Majerle"	0.0957849
"Elden Campbell"	0.0950663
"Rashard Lewis"	0.0950212
"Danny Manning"	0.094413
"Rodney Rogers"	0.0933265
"Othella Harrington"	0.0931864
"Travis Knight"	0.0928666
"Brent Barry"	0.0926069
"Robert Traylor"	0.0922281
"Tamika Catchings"	0.0919099
"Wally Szczerbiak"	0.0918424
"Grant Long"	0.0914511
"Bill Guerin"	0.0902614
"Sheryl Swoopes"	0.0897689
"Kevin Willis"	0.0886306
"Chamique Holdsclaw"	0.0885386
"Ron Artest"	0.0882535
"Tyrone Nesby"	0.0881622
"Jermaine O'Neal"	0.0874065
"Clarence Weatherspoon"	0.0866756
"Kenny Thomas"	0.0866077
"Mark Madsen"	0.0862851
"Marcus Fizer"	0.0858082
"Richard Hamilton"	0.0856444
"Lamar Odom"	0.0854894
"Hu Weidong"	0.0854194
"Gary Trent"	0.0834702
"Bobby Phills"	0.0833963
"Jarvis Turner"	0.0832073
"Ziggy Palffy"	0.0831799
"Morris Peterson"	0.0824378
"Jamal Mashburn"	0.082349
"Walt Williams"	0.0818872
"Clyde Drexler"	0.0815538
"Ron Harper"	0.081261
"Etan Thomas"	0.080945
"Kevin Freeman"	0.0803265
"Eric Wynalda"	0.0802395
"Olden Polynice"	0.0797793
"Mia Hamm"	0.0797609
"Tariq Abdul-Wahad"	0.0794367
"Charles Oakley"	0.0794295
"Alen Boksic"	0.0789808
"Theo Fleury"	0.0788551
"Otis Thorpe"	0.0788218
"Samaki Walker"	0.078724
"George McCloud"	0.0785379
"Cliff Robinson"	0.0781821
"Sun Wen"	0.0779485
"Mike Miller"	0.0769939
"Dirk Nowitzki"	0.0765637
"Nick Van Exel"	0.0765508
"Hao Haidong"	0.0762374
"Shane Battier"	0.0761973
"Elton Brand"	0.0760959
"Ante Razov"	0.0758084
"Kris Clack"	0.0754921
"Jerome Moiso"	0.0754472
"Rik Smits"	0.0751557
"Mookie Blaylock"	0.0745488
"Chris Mullin"	0.0745136
"Lisa Leslie"	0.0742027
"Julius Erving"	0.0741257
Bryant	0.0735687
"Lorenzen Wright"	0.0732294
"Ruben Patterson"	0.0732263
"Jerome Kersey"	0.0728876
"Tony Amonte"	0.0728382
"Kendall Gill"	0.0726761
"Rebecca Lobo"	0.0720309
"Scot Pollard"	0.0716993
"DeLisha Milton"	0.0715815
"Dennis Scott"	0.0712328
"Jaromir Jagr"	0.0709055
"Sam Cassell"	0.0705322
"John Starks"	0.0703684
"Mike Bibby"	0.0700104
"Cynthia Cooper"	0.0700049
"Derek Fisher"	0.0699532
"Bryon Russell"	0.0699406
"Corey Maggette"	0.069848
"Shandon Anderson"	0.0698395
Garnett	0.0697165
"Jamie Feick"	0.0694849
"Lee Nailon"	0.0689419
"Brian Scalabrine"	0.0688678
"Larry Hughes"	0.0687214
"Mark Jackson"	0.0686803
"Keith Tkachuk"	0.0686402
"Cliff Ronning"	0.0684824
"Michael Jordan"	0.0682798
"Jennifer Gillom"	0.0681628
"Brian Shaw"	0.0679852
"Avery Johnson"	0.0679758
"Hidetoshi Nakata"	0.0677733
"Luc Longley"	0.0675382
))
("Chris Weinke" (desc 3431.41) (sims
"Marcus Outzen"	0.321372
"Ryan Kealy"	0.209324
Weinke	0.20106
"Bobby Newcombe"	0.196916
"Todd Husak"	0.181984
"Rob Johnson"	0.173791
"Trent Green"	0.171949
"Tony Banks"	0.168406
"Mike Van Raaphorst"	0.166418
"Steve McNair"	0.162892
"Quincy Carter"	0.160722
"Dave Brown"	0.157755
"Jake Plummer"	0.156876
"Glenn Foley"	0.15565
"Tee Martin"	0.155333
"Drew Bennett"	0.154421
"Kent Graham"	0.151657
"Jarious Jackson"	0.14971
"Akili Smith"	0.14955
"Brian Griese"	0.14921
Applewhite	0.148507
"Chris Chandler"	0.147243
"Joe Hamilton"	0.146323
"Vinny Testaverde"	0.145601
"Sebastian Janikowski"	0.144456
"Drew Henson"	0.144373
"Erik Kramer"	0.143791
"Michael Vick"	0.141983
"Chris Simms"	0.141233
"Drew Brees"	0.139
"Major Applewhite"	0.138284
"Ryan McCann"	0.136324
"Charlie Batch"	0.136243
"Jeff George"	0.136124
"Doug Pederson"	0.134991
"Bubby Brister"	0.133556
"Michael Bishop"	0.130979
"Shaun King"	0.13029
"Peter Warrick"	0.12919
"Jason Garrett"	0.127985
"Doug Johnson"	0.12689
"Brad Johnson"	0.12589
"Jeff Garcia"	0.125688
"Troy Aikman"	0.12457
"Kerry Collins"	0.124551
"Randall Cunningham"	0.124173
"Ryan Leaf"	0.123661
"Ray Lucas"	0.12346
"Cade McNown"	0.123202
"Carson Palmer"	0.120898
"Chad Pennington"	0.119197
"Trent Dilfer"	0.118636
"Mark Brunell"	0.118355
"Brock Huard"	0.117181
"Peyton Manning"	0.115044
"Rich Gannon"	0.113971
Plummer	0.113575
"Jim Harbaugh"	0.112239
"Tom Brady"	0.112223
"Steve Young"	0.111784
"John Fox"	0.10967
"Ty Detmer"	0.109452
"Drew Bledsoe"	0.108388
"Phil Simms"	0.108005
"Damon Huard"	0.107066
"Tim Couch"	0.106968
"Keith Smith"	0.106286
"Kurt Warner"	0.104767
"Jon Kitna"	0.104753
"Elvis Grbac"	0.104307
Griese	0.104077
"Warren Moon"	0.103996
"Jamal Lewis"	0.103875
Aikman	0.102886
"Steve DeBerg"	0.102673
Huard	0.101557
Brees	0.100015
Kanell	0.0987764
"Van Raaphorst"	0.0980528
McCown	0.0972979
Grbac	0.0970589
"Danny Wuerffel"	0.0966232
"Jeff Blake"	0.0965783
"Ortege Jenkins"	0.0954074
"Dan Marino"	0.0946416
Kitna	0.0944779
Testaverde	0.0941978
Druckenmiller	0.0926346
"Gus Frerotte"	0.0925565
"DeShaun Foster"	0.0922465
Graziani	0.0916856
"Danny Kanell"	0.0915571
"Rick Mirer"	0.0912514
"Neil O'Donnell"	0.0910154
Manning	0.0898643
"Rodney Peete"	0.0898302
"Steve Beuerlein"	0.0889948
"Doug Flutie"	0.0889706
"Charlie Ward"	0.0881918
"Tony Graziani"	0.0878571
Brunell	0.087697
Favre	0.0872379
Bledsoe	0.0865992
"John Elway"	0.0863839
"Brett Favre"	0.085688
"Paul Justin"	0.0842961
McNown	0.0826897
"Cory Paus"	0.0826737
Chandler	0.0825804
"Jermaine Lewis"	0.0810994
"Jarvis Turner"	0.0806426
Cunningham	0.0796121
Garrett	0.079335
Brady	0.0793346
"Daunte Culpepper"	0.0787221
Fiedler	0.0784695
"Kordell Stewart"	0.0779322
"Jack McDowell"	0.0778372
"LaVar Arrington"	0.0776753
"Joe Montana"	0.0768464
"Courtney Brown"	0.0766641
"Danny Farmer"	0.0760716
"Boomer Esiason"	0.0758975
Elway	0.075781
WARRICK	0.0750848
Paus	0.0742971
"Marques Anderson"	0.0732661
"Bobby Hoying"	0.0731124
"Russ Ortiz"	0.0729653
Brister	0.0725343
Palmer	0.072532
"Ron Dayne"	0.0721544
Mirer	0.0721223
"Scott Mitchell"	0.0718199
Vick	0.0714702
Outzen	0.0712691
"Donovan McNabb"	0.0707512
Boller	0.0701125
Detmer	0.0700721
Marino	0.0694952
"Angelo Peruzzi"	0.0691915
Newcombe	0.0691531
"Eric Zeier"	0.0688375
DeBerg	0.0682088
Henson	0.0680219
"Bobby Bowden"	0.0674638
"Rico Hines"	0.0671068
"Fred Taylor"	0.0669557
McNair	0.0666039
Pederson	0.0665761
Kealy	0.0663193
"Jim Druckenmiller"	0.0656895
"Ronnie Bradford"	0.0649885
"Gary DiSarcina"	0.0646103
"Gil Meche"	0.0637224
"Everett McIver"	0.0634043
Warner	0.0633451
Tupa	0.0633158
"Shaun Alexander"	0.06289
"R. Jay Soward"	0.0626483
Soward	0.0623507
"Paul Abbott"	0.0621305
"Travis Hall"	0.061983
"Dan Gadzuric"	0.0619444
Culpepper	0.0617901
"Jason Dickson"	0.0617568
"Roger Staubach"	0.061571
"Jesse Orosco"	0.061428
"Del Piero"	0.0610185
"Chris Osgood"	0.0609821
"Scott Zolak"	0.0608276
"Baron Davis"	0.0606084
McNabb	0.0605163
"Brandon Granville"	0.0603074
"Jeff Trepagnier"	0.06018
"Bret Saberhagen"	0.0601193
"Larry Allen"	0.0599867
"Mario Edwards"	0.059971
"Jeff Weaver"	0.0599409
"Jumaine Jones"	0.0598924
"Kevin Hartman"	0.0596932
Taufik	0.0595423
Harbaugh	0.0594996
"Alex Fernandez"	0.059477
Randall	0.0593693
"JOHN FRIESZ"	0.0592328
"Khalid El-Amin"	0.0589601
"Robert Edwards"	0.0588623
"Terry Bradshaw"	0.0587649
"Earl Watson"	0.0587068
"Billy Knight"	0.058644
"Stephane Fiset"	0.0585317
"Ryan Bailey"	0.0585193
Flutie	0.0585029
"Ramon Martinez"	0.058431
McCann	0.058144
"Rick Reed"	0.058142
"Odalis Perez"	0.0577813
"Michael Wiley"	0.0576771
"J.D Drew"	0.0571244
))
("Chris Widger" (desc 1239.8) (sims
"Damian Miller"	0.338628
"Jose Vidro"	0.318678
"Rondell White"	0.308352
Rolen	0.297094
"Geoff Jenkins"	0.296212
"Vladimir Guerrero"	0.294122
"Einar Diaz"	0.267606
"Matt Lawton"	0.266598
"Kevin Jordan"	0.265299
"Marvin Benard"	0.257619
"Gregg Zaun"	0.256169
"Brook Fordyce"	0.254248
Fullmer	0.251788
Burnitz	0.249303
"Cristian Guzman"	0.248063
"Eddie Taubensee"	0.244585
Cirillo	0.244572
"Paul Bako"	0.244309
"John Vander Wal"	0.243642
"Phil Nevin"	0.242628
"Ron Coomer"	0.239471
"Mike Lieberthal"	0.23937
"Eric Owens"	0.239357
"Mark Loretta"	0.238421
"Brent Mayne"	0.237874
"Mark Kotsay"	0.23754
"Todd Pratt"	0.23569
"Tony Eusebio"	0.234451
"Carlos Lee"	0.232083
"Lee Stevens"	0.232013
"Bengie Molina"	0.231744
"Jason Kendall"	0.229719
"Tom Lampkin"	0.228517
"Doug Glanville"	0.226776
"Preston Wilson"	0.225603
"Marquis Grissom"	0.224746
"Mike Sweeney"	0.223361
"Bill Mueller"	0.222812
"David Ortiz"	0.222811
"Scott Spiezio"	0.222697
"Russ Johnson"	0.220806
Vidro	0.21934
"Bruce Aven"	0.217682
"Bobby Abreu"	0.216683
"Shane Andrews"	0.215733
"Deivi Cruz"	0.215427
"Jeff Conine"	0.212085
"Mickey Morandini"	0.211007
"Warren Morris"	0.20953
"Neifi Perez"	0.209098
"Darrin Fletcher"	0.208647
"Jeffrey Hammonds"	0.208129
Higginson	0.207964
"Miguel Cairo"	0.20668
"Kelly Stinnett"	0.205703
"Bobby Higginson"	0.205577
"Jose Valentin"	0.205306
Abreu	0.205219
"Pat Meares"	0.205129
Randa	0.204113
"Jason Varitek"	0.202572
"Derrek Lee"	0.201893
"Matt Stairs"	0.201873
"Ray Durham"	0.200756
"Matt Franco"	0.199952
"Damian Jackson"	0.199295
"Matt Walbeck"	0.198639
"Eric Chavez"	0.196416
"Luis Alicea"	0.196328
"Scott Hatteberg"	0.196172
"Herbert Perry"	0.194645
Bautista	0.194517
"Cliff Floyd"	0.194474
"Stan Javier"	0.194254
"Brad Fullmer"	0.19412
"Wally Joyner"	0.19366
Spiers	0.193068
"Quilvio Veras"	0.192312
"CARLOS HERNANDEZ"	0.191566
"Sandy Alomar"	0.190566
"Jose Guillen"	0.190517
"Rich Aurilia"	0.188224
"Tyler Houston"	0.18818
Lankford	0.187875
"J.T Snow"	0.187748
"Tony Batista"	0.187141
"Angel Pena"	0.18623
"Brad Ausmus"	0.185917
"Dean Palmer"	0.18575
"Bobby Estalella"	0.185256
"Danny Bautista"	0.185175
Nevin	0.183928
"Javier Vazquez"	0.183259
"Jermaine Dye"	0.182117
"Dave Hansen"	0.181921
"Carl Pavano"	0.180624
"Todd Walker"	0.179808
"Jorge Fabregas"	0.179503
Lieberthal	0.177487
"Ricky Gutierrez"	0.177199
"Dmitri Young"	0.176406
"Bill Spiers"	0.175971
McGriff	0.175937
"Orlando Palmeiro"	0.174759
"Scott Rolen"	0.174319
"Kevin Young"	0.174251
"Peter Bergeron"	0.1742
"Carlos Beltran"	0.174016
"Joe Randa"	0.173987
"Jay Payton"	0.173873
"Luis Castillo"	0.173786
"Mitch Meluskey"	0.173747
"Keith Lockhart"	0.173545
"Dustin Hermanson"	0.172463
"Brian Johnson"	0.172309
"Mark Grace"	0.172047
"Jose Hernandez"	0.171797
Sexson	0.171361
"Corey Koskie"	0.170876
Tatis	0.170703
"Dante Bichette"	0.170557
"Mike Lowell"	0.170479
"Randy Velarde"	0.169896
"Joe McEwing"	0.169538
"Johnny Damon"	0.168795
"Adam Kennedy"	0.167527
Tejada	0.167482
"Henry Rodriguez"	0.167112
"Lance Berkman"	0.166709
"Brian Giles"	0.166532
"Midre Cummings"	0.165637
"Jeff Cirillo"	0.165128
"Eddie Perez"	0.165085
"Dave Martinez"	0.164986
Ordonez	0.16497
"Todd Greene"	0.164792
"Jeromy Burnitz"	0.164306
"Ron Gant"	0.163838
"Miguel Tejada"	0.163787
"Tim Bogar"	0.162913
"Ricky Ledee"	0.162399
Hollins	0.162397
Aurilia	0.162267
"Dan Wilson"	0.16154
"Paul Konerko"	0.161317
"Tom Goodwin"	0.160726
"Ozzie Guillen"	0.160676
"Fred McGriff"	0.160412
"Craig Counsell"	0.160136
"Javy Lopez"	0.159587
"Shawn Green"	0.15951
"Jim Leyritz"	0.159311
"Ivan Rodriguez"	0.1593
"Alex Gonzalez"	0.159094
"Charlie Hayes"	0.15871
"Ray Lankford"	0.158562
"Eric Karros"	0.158238
"Ben Grieve"	0.157955
"Benny Agbayani"	0.157895
"Jason Giambi"	0.157064
"Lenny Harris"	0.156579
"Jay Bell"	0.15628
"Pat Burrell"	0.155173
"Reggie Sanders"	0.154954
"Ed Sprague"	0.154898
"Ruben Rivera"	0.15475
"Desi Relaford"	0.154727
Beltran	0.154721
Alicea	0.15454
"John Mabry"	0.154254
"Jeff Kent"	0.153491
"Butch Huskey"	0.153478
"Luis Gonzalez"	0.153144
Varitek	0.15261
"Melvin Mora"	0.152362
"Chad Kreuter"	0.151531
"Rich Becker"	0.151223
"Rico Brogna"	0.151222
Bragg	0.151154
"Bubba Trammell"	0.151143
Glanville	0.150405
"Joe Girardi"	0.150042
Alfonzo	0.148969
"Chad Curtis"	0.146603
"Darin Erstad"	0.146526
"Todd Helton"	0.146345
"Jon Nunnally"	0.146165
"Brady Anderson"	0.146127
"Mark Grudzielanek"	0.146078
"Ugueth Urbina"	0.146048
"Chris Gomez"	0.145716
"David Bell"	0.145427
"Devon White"	0.14529
Biggio	0.145058
"Travis Lee"	0.144963
"Manny Alexander"	0.144867
"Troy Glaus"	0.144775
"Adrian Beltre"	0.144434
"Frank Thomas"	0.144102
"Will Clark"	0.143977
"Erubiel Durazo"	0.14328
"Travis Fryman"	0.143197
"Bill Haselman"	0.143134
"Luis Polonia"	0.14289
"Gabe Kapler"	0.14289
Renteria	0.141492
"Mike Bordick"	0.141362
"Craig Paquette"	0.140741
"Richard Hidalgo"	0.140688
"B.J Surhoff"	0.140178
"Gerald Williams"	0.140159
"Rob Ducey"	0.139785
Valentin	0.139643
"Edgar Renteria"	0.139406
"Marty Cordova"	0.139366
"David Segui"	0.138965
"Todd Hundley"	0.138875
Veras	0.138679
"Michael Tucker"	0.13856
McLemore	0.138305
"Karim Garcia"	0.138199
"Ellis Burks"	0.137913
"Magglio Ordonez"	0.137722
"Aaron Boone"	0.137379
"Carl Everett"	0.136918
Batista	0.136814
"Russ Davis"	0.136462
"Greg Myers"	0.136348
"Tony Womack"	0.135449
"Matt Williams"	0.135313
"Jeremy Giambi"	0.13531
"Derek Bell"	0.135204
"Mike Lamb"	0.135197
"John Jaha"	0.134959
"Francisco Cordova"	0.134715
Frye	0.134531
"Jay Buhner"	0.134222
Hidalgo	0.134194
"Brian Hunter"	0.134104
"Juan Encarnacion"	0.133933
"Bret Boone"	0.13386
"Glenallen Hill"	0.133843
"Moises Alou"	0.133378
"Charles Johnson"	0.133319
"Brian Daubach"	0.132957
"Garret Anderson"	0.132889
"David Dellucci"	0.132872
"Benji Gil"	0.132697
"Harold Baines"	0.132396
"Darryl Hamilton"	0.132282
Javier	0.131868
"Raul Ibanez"	0.131711
"John Valentin"	0.131261
"Mark McLemore"	0.13094
Klesko	0.130666
"Edgar Martinez"	0.130588
"Mike Lansing"	0.130405
"Andy Fox"	0.130171
"Larry Walker"	0.129914
"John Olerud"	0.129537
"Al Martin"	0.129487
"Edgardo Alfonzo"	0.129386
"Kenny Lofton"	0.129217
"Enrique Wilson"	0.128694
"Mark Johnson"	0.128448
"Jose Offerman"	0.127981
Hollandsworth	0.127731
"Quinton McCracken"	0.127588
"Tim Salmon"	0.127263
Fryman	0.127096
"Eric Young"	0.126936
Lawton	0.126422
"Darren Lewis"	0.126186
"Jose Vizcaino"	0.12615
"Scott Brosius"	0.125817
"Gregg Jefferies"	0.125465
"Andruw Jones"	0.125439
"Trot Nixon"	0.125354
"Kevin Elster"	0.124722
"Ryan Klesko"	0.124559
Eusebio	0.124533
Konerko	0.124508
"Richie Sexson"	0.124479
"Jeff Bagwell"	0.124274
"Rusty Greer"	0.124254
"Matt Luke"	0.124235
Velarde	0.124158
"Mike Benjamin"	0.12377
"Paul LoDuca"	0.123288
Agbayani	0.122918
Elster	0.122676
"Carlos Delgado"	0.122597
"Steve Finley"	0.122476
"Chipper Jones"	0.122451
"Chili Davis"	0.122444
"Sean Casey"	0.12212
Olerud	0.12195
Bordick	0.121884
"Roger Cedeno"	0.121858
"Jim Thome"	0.121821
Giambi	0.121689
Daubach	0.121593
Saenz	0.120758
Palmeiro	0.120677
"Damon Buford"	0.120411
"F.P Santangelo"	0.120338
"Kevin Stocker"	0.120253
Karros	0.120233
"Tony Graffanino"	0.119974
"Ken Caminiti"	0.119937
"Terrence Long"	0.119769
"Walt Weiss"	0.119619
Dunston	0.119515
"Luis Lopez"	0.119486
"Wil Cordero"	0.119379
"J.D Drew"	0.119333
"Rickey Henderson"	0.119084
Glaus	0.118571
"Tony Clark"	0.118476
DeShields	0.11818
Womack	0.118011
"Fernando Vina"	0.117952
"Barry Larkin"	0.117289
"Tino Martinez"	0.11695
Alomar	0.11653
"Brian McRae"	0.116244
"Brant Brown"	0.116047
Guerrero	0.116038
"Mike Cameron"	0.115921
Erstad	0.11572
"Gary Sheffield"	0.115665
Gant	0.115072
Castilla	0.114943
"Jorge Posada"	0.114812
Hatteberg	0.114689
"Alex Rodriguez"	0.114073
"Fernando Tatis"	0.113966
"Robin Ventura"	0.112967
"Craig Biggio"	0.112766
"Luis Sojo"	0.112688
"Bernard Gilkey"	0.112181
"Raul Mondesi"	0.111534
"Shannon Stewart"	0.111336
Greer	0.111272
Gilkey	0.11077
"Greg Vaughn"	0.110243
Helton	0.110164
Brosius	0.110162
Hundley	0.110052
Grissom	0.109862
Trammell	0.109764
"Wilton Guerrero"	0.109525
"Mike Stanley"	0.109523
"Todd Hollandsworth"	0.109297
"Vinny Castilla"	0.109065
"Barry Bonds"	0.109026
"Delino DeShields"	0.108347
Mabry	0.108092
Baines	0.107728
"Jeff King"	0.10696
"Kurt Abbott"	0.106893
Vizquel	0.106775
Beltre	0.106755
"Joey Cora"	0.106524
Surhoff	0.106382
Ledee	0.106324
"Roberto Alomar"	0.105916
"Willie Greene"	0.10584
"Jeff Huson"	0.10582
Delgado	0.105515
Cordero	0.105351
"Manny Ramirez"	0.105304
Goodwin	0.105212
"Darren Bragg"	0.105034
"Brian Jordan"	0.10378
"Pudge Rodriguez"	0.103749
Stinnett	0.103624
"Rey Sanchez"	0.102981
"Royce Clayton"	0.102939
McRae	0.102721
Baerga	0.102597
"Daryle Ward"	0.102444
"Rafael Palmeiro"	0.102319
"Pokey Reese"	0.101651
"Rafael Furcal"	0.101598
"Mike Piazza"	0.101111
Ausmus	0.100942
"Dave Hollins"	0.100601
Grudzielanek	0.100575
"Tony Phillips"	0.100372
Canseco	0.100299
"Damion Easley"	0.100204
))
("Chris Woodruff" (desc 2740.76) (sims
"Richey Reneberg"	0.359947
"Vincent Spadea"	0.328122
"Jeff Tarango"	0.322067
"Jan-Michael Gambill"	0.317869
"Magdalena Maleeva"	0.310404
"Alex O'Brien"	0.308438
"Vince Spadea"	0.306658
"Hernan Gumy"	0.304506
"Franco Squillari"	0.299633
"Sjeng Schalken"	0.295046
"Mariano Zabaleta"	0.289503
"Sarah Pitkowski"	0.287563
"Ramon Delgado"	0.28722
"Jonathan Stark"	0.28428
"Christian Ruud"	0.281917
"Karim Alami"	0.281146
"Judith Wiesner"	0.280692
"Corina Morariu"	0.280307
"Alberto Berasategui"	0.276003
"Sebastien Grosjean"	0.275377
"Paul Goldstein"	0.274985
"Tara Snyder"	0.274024
"Jerome Golmard"	0.27367
"Steve Campbell"	0.273451
"Albert Portas"	0.273317
"Francisco Clavet"	0.271937
"Richard Fromberg"	0.271765
"Todd Woodbridge"	0.271728
"Nathalie Dechy"	0.269053
"Amy Frazier"	0.268681
"Kenneth Carlsen"	0.265255
"Magui Serna"	0.264053
"Justin Gimelstob"	0.263877
"Fabrice Santoro"	0.259778
"Anne Kremer"	0.259717
"MaliVai Washington"	0.259554
"Jason Stoltenberg"	0.259075
"Adrian Voinea"	0.258665
"Renzo Furlan"	0.256875
"Felix Mantilla"	0.256766
"Tatiana Panova"	0.256521
"Rainer Schuttler"	0.255464
"Andrei Pavel"	0.253386
"Sargis Sargsian"	0.252334
"Chanda Rubin"	0.250955
"Arnaud Di Pasquale"	0.250145
"Guillaume Raoux"	0.249527
"Marcelo Filippini"	0.24738
"Todd Martin"	0.246699
"Joannette Kruger"	0.245799
"Florencia Labat"	0.24334
"Xavier Malisse"	0.243091
"Roger Federer"	0.242671
"Mikael Tillstrom"	0.241023
"Carlos Costa"	0.239916
"Sabine Appelmans"	0.239879
"Albert Costa"	0.239562
"Mariano Puerta"	0.239177
"Jim Courier"	0.23805
"Younes El Aynaoui"	0.236468
"Andrei Medvedev"	0.235874
"Fernando Meligeni"	0.234692
"Magnus Norman"	0.233789
"Barbara Schwartz"	0.233346
"Elena Likhovtseva"	0.233249
"Lisa Raymond"	0.23046
"Andreas Vinciguerra"	0.229374
"Byron Black"	0.22932
"Dominique Van Roost"	0.228109
"Leander Paes"	0.227491
"Brett Steven"	0.226942
"Grant Stafford"	0.226815
"Scott Draper"	0.226306
"Barbara Paulus"	0.225035
"Ai Sugiyama"	0.223705
"Arnaud Clement"	0.223366
"Filip Dewulf"	0.223158
"Silvia Farina"	0.222206
"Thomas Johansson"	0.221548
"Marat Safin"	0.220665
"Kimberly Po"	0.218797
"Jonas Bjorkman"	0.217865
"Mary Joe Fernandez"	0.217523
"Arnaud Boetsch"	0.216652
"Magnus Gustafsson"	0.216567
"Alberto Costa"	0.216482
"Andrew Ilie"	0.215839
"Slava Dosedel"	0.214824
"Nicole Pratt"	0.214703
"Tamarine Tanasugarn"	0.214529
"Anne-Gaelle Sidot"	0.214443
"Galo Blanco"	0.212992
"Ruxandra Dragomir"	0.212806
"Hicham Arazi"	0.212182
"Cedric Pioline"	0.211769
"Paola Suarez"	0.211498
"David Prinosil"	0.211185
"Olga Barabanschikova"	0.210191
"Sergi Bruguera"	0.21004
"Davide Sanguinetti"	0.209779
"Juan Carlos Ferrero"	0.209646
"Marc Rosset"	0.209309
"Michael Chang"	0.208724
"Irina Spirlea"	0.207512
"Wayne Black"	0.206688
"Gianluca Pozzi"	0.205487
"Mark Woodforde"	0.205164
"Wayne Ferreira"	0.204624
"Marcos Ondruska"	0.204135
"Daniel Nestor"	0.203869
"Javier Sanchez"	0.2037
"Nicolas Escude"	0.203362
"Juan Antonio Marin"	0.203057
"Julie Halard-Decugis"	0.202267
"Magnus Larsson"	0.198699
"Richard Krajicek"	0.198508
"Anke Huber"	0.198086
"Alexandra Stevenson"	0.197291
"Julian Alonso"	0.197224
"Andrea Gaudenzi"	0.195988
"Kimiko Date"	0.194736
"Sebastien Lareau"	0.193873
"Dominik Hrbaty"	0.193335
"Jennifer Capriati"	0.193017
"Cara Black"	0.192957
"Neville Godwin"	0.192112
"Thomas Enqvist"	0.191514
"Catalina Cristea"	0.189668
"Li Fang"	0.188794
"Brenda Schultz-McCarthy"	0.188677
"Carlos Moya"	0.186838
"Patty Schnyder"	0.186837
"Kim Clijsters"	0.18606
"Paul Haarhuis"	0.185867
"Alexandra Fusai"	0.185552
"Natasha Zvereva"	0.184587
"Alex Corretja"	0.183863
"Elena Dementieva"	0.183664
"Miriam Oremans"	0.183165
"Lori McNeil"	0.182456
"Gustavo Kuerten"	0.181419
"Nicolas Lapentti"	0.181249
"Iva Majoli"	0.180986
"Tommy Haas"	0.180381
"Rita Grande"	0.180023
"Asa Carlsson"	0.179609
"Patrick Rafter"	0.179458
"Sandrine Testud"	0.179189
"Nicolas Kiefer"	0.17905
"Mark Philippoussis"	0.178906
"Amanda Coetzer"	0.177817
"Nathalie Tauziat"	0.177267
"Greg Rusedski"	0.176583
"Barbara Rittner"	0.174432
Dragomir	0.173802
"Karina Habsudova"	0.170917
"Tim Henman"	0.17072
"Barbara Schett"	0.170711
"Conchita Martinez"	0.170527
"Michael Stich"	0.170451
"Kveta Hrdlickova"	0.169194
"Michael Tebbutt"	0.167428
"Thomas Muster"	0.167301
"Jelena Dokic"	0.166686
"Yayuk Basuki"	0.16585
"Bohdan Ulihrach"	0.165753
"Daniel Vacek"	0.165646
"Goran Ivanisevic"	0.165482
"Kristie Boogert"	0.164814
"Arantxa Sanchez-Vicario"	0.163265
"Mirjana Lucic"	0.163172
"Amelie Mauresmo"	0.160582
"Serena Williams"	0.1603
"Naoko Sawamatsu"	0.159978
"Marcelo Rios"	0.159343
"Mark Knowles"	0.159304
"Venus Williams"	0.158724
"Karol Kucera"	0.158628
"Pat Rafter"	0.158535
Siemerink	0.157922
Kroslak	0.155489
"Henrieta Nagyova"	0.1553
"Wayne Arthurs"	0.155006
"Max Mirnyi"	0.154586
"Els Callens"	0.154147
"Yevgeny Kafelnikov"	0.154011
"American Chanda Rubin"	0.153884
"Arantxa Sanchez Vicario"	0.153718
Bruguera	0.152542
"Petr Korda"	0.152008
"Rodney Eyles"	0.151401
"Martin Damm"	0.15129
"Monica Seles"	0.151245
"Janet Lee"	0.150953
"John Van Lottum"	0.150005
"Mary Pierce"	0.149001
Swardt	0.148337
"Jiri Novak"	0.147088
"Russian Yevgeny Kafelnikov"	0.146873
"Peter Rasmussen"	0.145807
"Mahesh Bhupathi"	0.14499
Dosedel	0.143924
"Lleyton Hewitt"	0.143313
"Lindsay Davenport"	0.14259
Halard-Decugis	0.14248
"Jana Novotna"	0.14088
Nacional	0.139196
Mauresmo	0.138954
"Andres Gomez"	0.138901
Gambill	0.138793
"Guy Forget"	0.13486
"Peter Nicol"	0.134315
"Andre Agassi"	0.133789
"Stefan Edberg"	0.133033
Mantilla	0.132092
Stoltenberg	0.130115
"Jacco Eltingh"	0.129363
Schalken	0.129237
"Anna Kournikova"	0.128551
"Dennis van Scheppingen"	0.128265
"Boris Becker"	0.127942
"Ong Ewe Hock"	0.126726
"American Lindsay Davenport"	0.126417
Zamalek	0.12564
Gimelstob	0.12409
Testud	0.122236
"Allen Johnson"	0.119234
"Jean-Philippe Gatien"	0.118017
"DON JOHNSON"	0.117709
Ferreira	0.117329
"Denisa Chladkova"	0.116818
"American Todd Martin"	0.116739
"Van Roost"	0.11643
"Jimmy Connors"	0.116064
Woodruff	0.115765
"Nicklas Kulti"	0.115261
Kuerten	0.115167
Spadea	0.114603
"American Andre Agassi"	0.114419
"Helena Sukova"	0.114387
Clavet	0.114343
"Gong Zhichao"	0.11352
Independiente	0.113213
Berasategui	0.113212
"Sandon Stolle"	0.112782
Sidot	0.112691
"Rika Hiraki"	0.112667
"Pete Sampras"	0.112344
Enqvist	0.111825
Sugiyama	0.110769
"Adriana Gersi"	0.109976
"John Godina"	0.109503
"Steffi Graf"	0.108852
"Zhang Ning"	0.107954
"Mats Wilander"	0.107576
Tarango	0.10659
"American Pete Sampras"	0.105927
"Paul Tergat"	0.105102
Bjorkman	0.104616
"Peter Gade Christensen"	0.10417
"Australian Mark Philippoussis"	0.103603
"Stacy Dragila"	0.102928
"Camilla Martin"	0.102022
"South African Amanda Coetzer"	0.100545
"Olympiakos Piraeus"	0.100316
"Jansher Khan"	0.100156
))
(Chris-Craft (desc 806.346) (sims
COLTEC	0.197289
GPU	0.151316
"Chronicle Publishing"	0.143358
NatWest	0.133967
ALZA	0.127873
Northpoint	0.125997
ENTERGY	0.1245
"Fred Meyer"	0.122911
UAM	0.121664
Comsat	0.120574
YPF	0.120256
"U.S. Trust"	0.116615
Cerent	0.11027
McCaw	0.109863
Schott	0.109021
Dresdner	0.107909
VENATOR	0.107885
"Northeast Utilities"	0.107097
RJR	0.106827
Aegon	0.106468
Viacom	0.105482
Icahn	0.10541
SFX	0.10513
BCE	0.105055
Asarco	0.101738
SDL	0.10154
ARCO	0.101065
Telemundo	0.100258
Pacifica	0.0998946
Sinclair	0.0992645
Fingerhut	0.0987005
Avondale	0.0980865
Paxson	0.0978845
VoiceStream	0.0971852
"RJR Nabisco"	0.0969376
Paribas	0.0958584
Cablevision	0.0953592
"Chrysler Corp."	0.0941938
PTT	0.0940563
Nabisco	0.0929078
FPL	0.0927701
Mediaone	0.0919807
SMI	0.0918662
Beringer	0.0908668
"Lotus Development Corp."	0.0904098
"Atlantic Richfield"	0.090377
Warner-Lambert	0.0903737
Mannesmann	0.0898873
HBOC	0.0894901
Starwood	0.0892164
Sibneft	0.0886721
ExciteAtHome	0.0884088
VICKERS	0.0883708
Mobil	0.0883406
"HBO &AMP; Co."	0.0882373
"National Grid"	0.0879822
Lilco	0.0877502
AutoNation	0.087588
TCI	0.0870685
Ameritech	0.0870158
Georgia-Pacific	0.0863956
Scripps	0.0861794
Viag	0.0852654
Vivendi	0.0849742
"Sprint Corp."	0.0848886
"Telecom Italia"	0.0847519
XYLAN	0.0846213
Conoco	0.0845008
"Thermo Electron"	0.0844914
"Learning Co."	0.0842365
"Ameritech Corp."	0.0841355
NTL	0.0838793
Intergraph	0.0838218
"BP Amoco"	0.0837383
NiSource	0.0836629
Oneida	0.0835605
Ciena	0.0832496
"Times Mirror"	0.0832311
"Niagara Mohawk"	0.0825006
"Bausch &AMP; Lomb"	0.0824809
SunTrust	0.0821731
Broderbund	0.0818586
"Times Co."	0.0818294
ICI	0.0814304
Bulog	0.0811283
"Silicon Graphics"	0.0809458
Generali	0.0807037
Asda	0.0801225
RCN	0.0800245
"Airtouch Communications"	0.0798675
"BankBoston Corp."	0.0796962
Taubman	0.0794709
"Berkshire Hathaway"	0.0793609
Dexter	0.0793165
"True North"	0.0790467
"Digital Equipment Corp."	0.0789022
Cendant	0.0786916
GEC	0.0785296
tribune	0.0785084
ADM	0.0784491
"U S West"	0.0781311
JAL	0.0779615
NORTHROP	0.0776326
GTE	0.0775975
"Bay Networks"	0.0775698
"De Beers"	0.0775489
Terra	0.0775165
TYCO	0.0774874
AXA	0.0773364
"Banque Nationale"	0.0771087
"Liberty Media"	0.0770973
"USA Networks"	0.0768998
Seagram	0.0768762
CFTC	0.0766038
Astra	0.0762791
SmithKline	0.0759416
"Times Mirror Co."	0.0754358
Bertelsmann	0.0754019
Livent	0.0749905
Telefonica	0.0747241
Daimler	0.0742099
Perelman	0.0739838
Aetna	0.0739659
Dele	0.0738237
GAAF	0.0736597
Belo	0.0736283
ZIFF-DAVIS	0.073586
Kozeny	0.0734883
Pennzoil	0.0733492
"Union Carbide"	0.0732166
"minority shareholder"	0.0731519
"Marge Schott"	0.0730353
"Food Lion"	0.07293
"Computer Associates"	0.0728737
"Con Ed"	0.0725682
Seagate	0.0723103
"CBS Corp."	0.0722926
Hoechst	0.0722002
"Bankers Trust"	0.0718648
REIT	0.071484
repeater	0.0711591
Adelphia	0.0710309
"Learning Company"	0.0709789
Loral	0.0709233
NU	0.0708277
ORT	0.0705911
Wetherell	0.0705211
Tenneco	0.0705048
Echostar	0.0703771
Cadbury	0.0701281
ATC	0.0699021
Diageo	0.0696169
McKesson	0.0696002
Qwest	0.0694293
"Pacific Lumber"	0.0692007
Deutsche	0.0690779
"Monsanto Co."	0.0688683
SAFY	0.068861
Scientific-Atlanta	0.068712
BOJ	0.0685834
"Housing Authority"	0.0685289
Uunet	0.06848
GANNETT	0.0683244
Alltel	0.0683188
"Lycos Inc."	0.0682258
"Boston Scientific"	0.0680085
Airtouch	0.0679263
"Banking Committee"	0.0678377
"Dow Chemical"	0.067793
"Sharper Image"	0.0675666
IEC	0.0675367
Televisa	0.0674793
infinity	0.0674483
Gulfstream	0.0672351
"Adobe Systems"	0.0669328
"Air Canada"	0.0668689
Amoco	0.0668104
JERRY's	0.0666038
"Van Sant"	0.0662058
SDP	0.0659388
Stronach	0.0658318
CMG	0.0657673
Pepsico	0.0655658
"US West"	0.0655335
McCombs	0.0655299
CTV	0.0655024
Konka	0.065496
Conseco	0.065465
ITT	0.0654172
BankAmerica	0.0653157
Renault	0.0652848
Mirage	0.0652562
Chiron	0.0652178
PRIMESTAR	0.0652115
"U S West Inc."	0.0650436
"Deutsche Telekom"	0.0649511
Caddell	0.0649194
PBSI	0.0648912
Lewises	0.0648699
DMV	0.0647991
))
(Chrissie (desc 1396.79) (sims
Gooding	0.0850908
Chappell	0.0835612
Parrott	0.0813683
Kehoe	0.0801866
Edelstein	0.0789068
Kopp	0.0776124
Brandi	0.0755996
Baugh	0.07476
Deane	0.074596
Stubbs	0.0706006
Britton	0.0705296
octuplets	0.0696619
Vogel	0.0691002
Kurtz	0.0687495
Ariel	0.0687347
Jorgensen	0.0680529
Kathy	0.0669421
Berle	0.0668272
Rhee	0.0665331
Kohn	0.0645232
Sasha	0.0639787
Darnell	0.0632201
Agca	0.0629079
Boller	0.0622673
Krzyzewski	0.0620363
Vaughan	0.0619752
Nathaniel	0.0616278
Hogarth	0.0602751
Giordano	0.0602
Halloran	0.0597418
Spellman	0.0596451
Swenson	0.0595684
Brosnan	0.0590142
Ono	0.0589658
Nasrin	0.0587318
Forrest	0.0586864
Hazen	0.0574893
Figgis	0.0573888
Collier	0.0572295
Rowley	0.0571894
LaBute	0.0566106
Harrell	0.0563828
Stahl	0.0562207
Rowan	0.0561342
Blume	0.0560155
Margolis	0.0558194
Stacy	0.0557255
Groening	0.0550672
Maynard	0.0541323
Baumhammers	0.0541241
Felton	0.0538975
Chukwu	0.0538204
Affleck	0.0537868
Whitehead	0.0534586
Jenna	0.0533329
Puzo	0.0531746
Paige	0.0529916
Shamshad	0.0529661
Karr	0.0529382
Biggs	0.0528139
Hou	0.0524325
Bloch	0.0522612
Pamela	0.0521882
Coppola	0.0520558
Konerko	0.0516441
"Sanchez Vicario"	0.0515413
Weil	0.0511251
Bodine	0.0510907
Blazevic	0.0509426
Robby	0.0506969
Salinger	0.0506741
Joel	0.0506571
Winkler	0.0502939
Lundy	0.0501464
Vance	0.0500666
Theron	0.0500226
Howell	0.0499998
McCormack	0.0499905
McAuliffe	0.0499058
"Laura Bush"	0.0497968
Muir	0.0497057
Ziegler	0.049676
Almodovar	0.0496349
LeBlanc	0.0495418
Morrison	0.0494125
Solondz	0.0493912
Cleese	0.0493651
Keady	0.0493418
Jeanne	0.049335
"more than one-fifth"	0.0492917
Goran	0.0491781
Yarnall	0.049161
Jagger	0.0491256
lute	0.0491111
Heche	0.0489606
Bacall	0.0489436
Robeson	0.0489094
Limon	0.0488957
Halberstam	0.0487924
Huffington	0.0487912
Hepburn	0.0485934
Bubba	0.0485141
Butterfield	0.0484604
Soderbergh	0.0484326
Moser	0.0483569
Crocker	0.0481872
Tilberis	0.0480972
McCombs	0.0480828
Mahoney	0.0480281
Abram	0.047972
Konstantinov	0.0477608
Huber	0.0475825
Masur	0.0474239
Dooley	0.0473662
Frankenheimer	0.0470693
Markhasev	0.0470227
Hamlin	0.0470083
Scruggs	0.0469078
Lindsay	0.0467961
Dominique	0.0467234
Merlino	0.0467161
Casserly	0.0466172
Remnick	0.0465642
Hobson	0.0464736
Triplett	0.0464692
Theroux	0.0464224
Lecter	0.0463543
Katie	0.0463047
Crowe	0.0461605
Seltzer	0.0461325
Cochran	0.046129
Donnelly	0.0460477
Atler	0.0459869
Caray	0.0457617
Alexie	0.0453713
Valenti	0.0451265
Solich	0.0451259
Maguire	0.0450366
Farnsworth	0.0450211
Bassett	0.0449591
Rudenstine	0.0449423
"a few lines"	0.0448543
Horne	0.0446854
Samantha	0.0446708
Pennington	0.0446471
Willard	0.0445613
Smiley	0.0442723
Grasso	0.0441271
Stayner	0.0441235
Gerard	0.0439212
Ginsberg	0.0439154
Duchovny	0.043799
Merritt	0.043759
Justin	0.0437248
Jacobsen	0.0437146
Laurie	0.0435615
Doan	0.0435196
Dickinson	0.0434997
Ozawa	0.04333
Liberman	0.0432948
Spacey	0.0432831
Brendan	0.0432033
Lindbergh	0.0431886
Ritchie	0.0431306
Atkins	0.0431163
Betts	0.0429776
Wiseman	0.0429423
McCourt	0.0429043
Pryor	0.0428862
Wilder	0.042872
Kerouac	0.0428702
Brazile	0.0428529
Dion	0.0428289
Arizmendi	0.0427464
Langer	0.042731
Einhorn	0.0426358
Wildhorn	0.0425085
Sobel	0.042337
LANIER	0.042196
DERSHOWITZ	0.0421887
Soliah	0.0421799
Dee	0.0420878
Maher	0.0419319
Kang	0.0418546
Adele	0.0418266
shalt	0.0418242
Gorman	0.0418182
Freddy	0.0417097
holly	0.0416517
looper	0.0415679
Ulrich	0.0414605
Leigh	0.0414564
DiCicco	0.0414485
Shandling	0.0414435
Sheehy	0.0414214
Catherine	0.0413761
Gould	0.0413403
Manuel	0.041329
BRIER	0.0413128
Blaine	0.0412831
))
("Chrissie Hynde" (desc 1314.4) (sims
"Peter Gabriel"	0.18011
"John Mellencamp"	0.168894
"David Bowie"	0.123014
"Alanis Morissette"	0.122007
"Jon Bon Jovi"	0.117102
"Don Henley"	0.116157
"Lou Reed"	0.115128
"Patti Smith"	0.106851
"Melissa Etheridge"	0.102024
"Jim Morrison"	0.0993272
"Lenny Kravitz"	0.0982241
"Marilyn Manson"	0.0975008
"Sheryl Crow"	0.0937999
"Clint Black"	0.0921767
"Steve Earle"	0.0881634
Profiler	0.0876586
"R. Kelly"	0.0775846
"Tom Waits"	0.0761715
"Kurt Cobain"	0.0748203
"Chris Gaines"	0.0740916
"David Byrne"	0.0738909
"Carlos Santana"	0.0735677
"Merle Haggard"	0.0706727
"George Michael"	0.0706421
"Courtney Love"	0.0699216
Bono	0.0696746
"Barenaked Ladies"	0.0685725
"Toni Braxton"	0.0680129
"Bruce Springsteen"	0.0665645
Bjork	0.0648171
"Erykah Badu"	0.0644317
"George Strait"	0.0644303
"Foxy Brown"	0.0635673
"Willie Nelson"	0.0634753
instrumentalist	0.0633046
"Tom Jones"	0.0623692
"Linda Ronstadt"	0.0622135
"Little Richard"	0.0616605
"Bobby Brown"	0.0595985
"Lucinda Williams"	0.0595135
"Jerry Garcia"	0.0591802
"George Jones"	0.0586236
"Trisha Yearwood"	0.058082
Wilco	0.0578422
"Elvis Costello"	0.0574269
"James Taylor"	0.0571941
Wynonna	0.0570488
"Andrea Bocelli"	0.0568774
"Kirk Franklin"	0.0567784
"LeAnn Rimes"	0.0566452
"Eric Clapton"	0.0565965
Selena	0.0564908
"Mick Jagger"	0.056228
"Phil Collins"	0.0562259
"Bonnie Raitt"	0.0561096
"Gennifer Flowers"	0.0556666
Juma	0.0554172
"Tony Bennett"	0.0553208
"Ruben Blades"	0.0552288
"Rob Thomas"	0.0550657
"Lyle Lovett"	0.0546316
"James Brown"	0.0545866
"Van Morrison"	0.053897
"Marc Anthony"	0.0538339
"Whitney Houston"	0.0536277
"Dwight Yoakam"	0.0536247
"Michael Bolton"	0.0536145
"Aretha Franklin"	0.0534103
Lewises	0.053364
"Emmylou Harris"	0.0527325
"Tina Turner"	0.0520873
"GLORIA ESTEFAN"	0.0513571
"Neil Young"	0.0507809
Billie	0.0480884
"Carly Simon"	0.0475151
MANA	0.0472528
"Jimmy Page"	0.0469937
"Loretta Lynn"	0.0467887
"Robert Johnson"	0.0458028
Ikimi	0.0456572
"Jo Dee Messina"	0.0449702
"Elton John"	0.044597
belching	0.0444425
"Tim Floyd"	0.0441855
U@	0.0441037
"Iggy Pop"	0.0435692
"Diana Krall"	0.042833
"Mary J. Blige"	0.0422463
ruckus	0.0420068
Gen	0.0419267
Byrds	0.0418708
"Vanessa Williams"	0.0416431
"meat loaf"	0.0415092
"Sarah McLachlan"	0.0415085
"Billy Joel"	0.0414301
pug	0.0411809
geezer	0.0403304
blowfish	0.0401557
"Johnny Cash"	0.0401293
))
(Christ (desc 24684) (sims
"Jesus Christ"	0.236364
Jesus	0.225733
God	0.108198
Buddha	0.101683
"Virgin Mary"	0.0885554
Moses	0.0794591
Messiah	0.0786802
Lord	0.0759651
Sakyamuni	0.0706547
Confucius	0.0689453
Christianity	0.0669536
"St. Peter"	0.0657197
Allah	0.0647732
Islam	0.0642165
Yat-sen	0.0628721
Saint	0.0614007
Mohammed	0.0602158
Abraham	0.0599099
"George Washington"	0.0597863
"Martin Luther King Jr."	0.0597088
church	0.0580677
Virgin	0.0579207
"Prophet Mohammed"	0.0570822
Antichrist	0.0553959
Mao	0.0545439
Goethe	0.0535315
pope	0.0524625
Mary	0.0522506
emperor	0.0518844
Satan	0.0515675
Khomeini	0.0515353
faith	0.0515102
prophet	0.0511572
pharaohs	0.0510696
Goddess	0.0510661
king	0.0508615
grandfather	0.0489434
gospel	0.0485803
Lenin	0.0483854
"St. John"	0.0483481
religion	0.0482922
"Mother Teresa"	0.0481852
Hemingway	0.0481704
Hussein	0.0480021
heaven	0.0476749
Bible	0.0475822
Karmapa	0.0469916
deity	0.0466637
"young woman"	0.046547
Madonna	0.0464113
"Abraham Lincoln"	0.0462846
"loved one"	0.0462609
martyr	0.046086
priest	0.0459191
"St. Francis"	0.0454773
Baptist	0.0453214
Paul	0.0451994
Muhammad	0.0450635
John	0.0450152
Freud	0.044906
hero	0.0444733
Joseph	0.044382
Elvis	0.0443767
poet	0.0443638
"Dalai Lama"	0.0443292
"young man"	0.0442645
"Martin Luther King"	0.0434744
"Santa Claus"	0.0434122
deceased	0.0433868
"American Dream"	0.0432635
resurrection	0.0429957
Hitler	0.0428931
mankind	0.042454
Rushdie	0.0424437
Lindbergh	0.0423754
"civil rights leader"	0.0422905
monk	0.0421693
savior	0.0421119
"little girl"	0.0414895
Diana	0.0412778
freedom	0.0411665
"Princess Diana"	0.0411397
ancestor	0.0411065
abbey	0.0409894
Napoleon	0.0408016
"Adolf Hitler"	0.0407782
"Matthew Shepard"	0.0407678
humanity	0.0406122
Stalin	0.0404734
Martha	0.0403871
dad	0.0401052
))
(Christchurch (desc 2585.91) (sims
Auckland	0.17568
Dunedin	0.151289
Kuching	0.129089
Cairns	0.129079
Durban	0.127772
Tapachula	0.123632
Almaty	0.121187
Bulawayo	0.118855
Cebu	0.112588
Wellington	0.111962
Nagoya	0.111253
Cartagena	0.107426
Klagenfurt	0.104981
Catania	0.10437
Peshawar	0.103064
Gudermes	0.100491
Davao	0.100322
Chennai	0.0994177
Basle	0.0990397
Bergen	0.098509
"CHIANG MAI"	0.098129
Antalya	0.0973587
Lucknow	0.0972505
"Port Elizabeth"	0.097228
Novosibirsk	0.09688
Kandy	0.0968223
"Quebec City"	0.0960181
Lucerne	0.0960048
Perth	0.0958545
Murmansk	0.0951968
Bangalore	0.0946049
Edinburgh	0.0936126
Muscat	0.0934952
"Banja Luka"	0.0932823
Ndola	0.0930562
Halle	0.0927139
Yerevan	0.0925678
Nago	0.0922181
Katmandu	0.0921348
Gaborone	0.0919375
"Malaysian capital"	0.0918374
Manado	0.0916546
Aachen	0.0916139
Alma-Ata	0.0915569
Duesseldorf	0.091534
"Montego Bay"	0.0912213
Guayaquil	0.090388
Vladikavkaz	0.0902286
Kisumu	0.0892116
Golmud	0.0890413
Cochabamba	0.0888742
BASEL	0.088382
"La Paz"	0.0881633
Adelaide	0.0881303
Sidon	0.088027
Midrand	0.0879541
Weifang	0.0874678
Brisbane	0.0872433
Alexandria	0.0871196
Pattaya	0.0867563
Salzburg	0.0863407
Winnipeg	0.0862425
Bamako	0.0862054
"Ciudad Juarez"	0.0861487
Monterrey	0.086073
Windhoek	0.0860527
Tallinn	0.0858493
Osaka	0.0855987
"Egyptian capital"	0.0855941
Acapulco	0.0849996
Goteborg	0.0849703
Jeddah	0.0847849
"ALMA ATA"	0.0847407
"San Pedro Sula"	0.0844878
Baotou	0.0841006
Asuncion	0.0839234
Thessaloniki	0.0838708
MELBOURNE	0.0833852
Tashkent	0.0832771
Gdansk	0.0829795
"San Sebastian"	0.0829033
Glasgow	0.0828335
BLANTYRE	0.0822774
Utrecht	0.0822617
"Chiang Rai"	0.0819806
Quanzhou	0.0818211
Hobart	0.0815395
Isfahan	0.081481
Emeryville	0.0810315
Honiara	0.0810283
Vientiane	0.0809974
Ensenada	0.0808885
CANCUN	0.0803148
CARACAS	0.0795475
Strasbourg	0.0795036
"Port Harcourt"	0.0792463
"Bandar Seri Begawan"	0.0792114
Ashkhabad	0.0790862
Durres	0.0782008
Ghent	0.0781997
Suva	0.0781736
Entebbe	0.0777607
Essen	0.0776428
Yokohama	0.0774266
"Ho Chi Minh City"	0.0774078
Pusan	0.0769924
Jinja	0.0769372
Tuzla	0.0767831
Liuzhou	0.0767579
"Nuevo Laredo"	0.0766487
Valletta	0.0766289
Mashhad	0.0765783
Dublin	0.0765376
Zamboanga	0.0761574
"Tel Aviv"	0.0760417
Hyderabad	0.0758575
Shiraz	0.0757066
Rawalpindi	0.0756524
Dushanbe	0.0755859
Sapporo	0.0754219
Moshi	0.0753848
Eilat	0.0751925
Hannover	0.0751225
"Kuala Lumpur"	0.0751011
"Saratoga Springs"	0.0749143
MAPUTO	0.0747533
Lyon	0.0745647
Rafah	0.0744458
Davos	0.0736648
Hanover	0.0731906
Zhangzhou	0.0730661
Ithaca	0.0728009
"Santo Domingo"	0.0727031
MANAMA	0.0726215
"San Salvador"	0.0725864
TEGUCIGALPA	0.0723395
Vitoria	0.0719196
Mazar-i-Sharif	0.0717099
Aqaba	0.0716727
Portsmouth	0.0716393
Jiujiang	0.0715999
Saida	0.0715745
Munich	0.0714373
Guadalajara	0.071434
Casas	0.0712062
Tripoli	0.0711325
Tijuana	0.071022
Ashkelon	0.0708616
Jaipur	0.0705897
Provo	0.0705042
Honolulu	0.070489
Yichang	0.0704649
BRATISLAVA	0.0704544
PALERMO	0.0703689
Trieste	0.0703456
Lubumbashi	0.0703089
Vladivostok	0.0702498
Astana	0.0702175
Krakow	0.0702113
Toulouse	0.0701872
Bengkulu	0.0701833
Hamburg	0.0697599
"Cape Town"	0.0697329
"Sao Paulo"	0.0696592
Miyazaki	0.0696441
Medan	0.069605
DUBAI	0.0695926
Karachi	0.0691789
HANOI	0.069159
Calcutta	0.0690501
Aswan	0.0686753
Yogyakarta	0.0684922
Qingdao	0.0683964
Izmir	0.0683638
Pisa	0.0682466
Karlsruhe	0.0681946
Taba	0.0681657
Libreville	0.0678774
BUDAPEST	0.0677971
Datong	0.0675826
Chisinau	0.0675226
Medellin	0.0674057
Beira	0.0673931
Manchester	0.0672151
Krasnoyarsk	0.066971
"Guatemala City"	0.0669634
Ibadan	0.0669233
Rotterdam	0.0668058
Anshan	0.0667683
Canberra	0.0667437
Darwin	0.0666441
Najaf	0.0666133
Beersheba	0.0665515
Haifa	0.0662669
"Hilton Head"	0.0661927
Valparaiso	0.0661708
Wuxi	0.0658677
Baoding	0.0658297
Nantes	0.0657754
Pereira	0.0654895
))
(Christensen (desc 2305.17) (sims
Stephenson	0.111493
Etherton	0.102132
Woodard	0.0934677
Calloway	0.0934597
Hawkeyes	0.0927909
Hindery	0.0919167
Isringhausen	0.0886866
Eldred	0.0886181
Schoeneweis	0.0861444
Jauron	0.0860343
Hersh	0.0850321
Kile	0.0844543
Rivlin	0.0823516
hodgson	0.0815441
Sele	0.0814729
McDOWELL	0.0811451
Yarnall	0.0810645
Munson	0.0810548
Berasategui	0.0802962
Remlinger	0.0782806
Nagy	0.0782157
Jager	0.0769972
Faget	0.0769141
Kiefer	0.0761556
Torres	0.0756681
Ruiz	0.0755373
Rosenblatt	0.0746714
Nicol	0.0743075
Ankiel	0.0741739
Durwood	0.0732555
Meche	0.0732425
Robson	0.073206
Weil	0.073073
Egan	0.0728212
Clarke	0.0726353
Jacobson	0.0724198
Blackman	0.0721507
Ivanisevic	0.0720951
Moya	0.0719069
Valenzuela	0.0717512
Hewitt	0.0715811
Coelho	0.0714637
Byrdsong	0.0711893
gamecock	0.0710862
Gatti	0.0710621
Huber	0.0709872
Schaeffer	0.0709738
Ortiz	0.0708431
Kuerten	0.0707365
rios	0.070728
Halberstam	0.0700922
Huard	0.0700814
Counsell	0.0700655
Huskers	0.0700249
Seleznyov	0.069927
Hirsch	0.0698835
Donnan	0.0698456
Benitez	0.069799
Raoux	0.0696309
McKenzie	0.0695674
Janikowski	0.069415
Ferreira	0.0693462
Kushner	0.0691779
Boilermakers	0.069146
Flores	0.0691194
Fahey	0.0691065
Tierney	0.0690296
Cory	0.0690272
"Dai Yun"	0.0685873
Gannon	0.0685592
Glavine	0.0684225
D'Amico	0.0684148
Millwood	0.0681579
Ita	0.0681555
Brazill	0.0680039
Furcal	0.0676669
Karlsson	0.0676169
bock	0.067601
Frazier	0.0675116
Holloway	0.0674908
Harmon	0.0674314
Henson	0.067095
Hagi	0.0670801
Marichal	0.0670611
Bottenfield	0.0670057
Costa	0.0669667
Gustafsson	0.0669043
Tua	0.0668446
Maddox	0.0665358
Westbrook	0.0664741
Herron	0.0662399
Fernandez	0.0660665
Bulatovic	0.0660469
LeBlanc	0.065993
Percival	0.0659782
Samuelson	0.0659624
Sheehan	0.0659497
Dempster	0.0658864
Jung	0.065843
Maddux	0.065731
Patten	0.0656984
Tarver	0.0656855
Gators	0.0655591
Contreras	0.0654863
Jayasinghe	0.0654124
Hentgen	0.0654055
Cepeda	0.065188
Guzman	0.065016
Mosley	0.0649919
Kerik	0.0649172
Smoltz	0.0648852
Holl	0.0647818
NAU	0.0647362
Rusedski	0.0646523
Mikhailov	0.0646482
Saberhagen	0.0644467
Tilberis	0.0643492
bearcat	0.0641631
Burkett	0.0640458
Hershiser	0.0639327
Fleischer	0.0638254
Atkinson	0.0637765
Pennington	0.0637632
Kafelnikov	0.0637611
Philippoussis	0.063731
Puzo	0.0637246
Korda	0.0636986
Fuentes	0.0635885
Wiggins	0.0635781
Capriati	0.0634492
"Golden Hurricane"	0.0633904
Shatner	0.0633796
Sooners	0.0633522
Lapentti	0.0632313
Cleary	0.0631186
Matasareanu	0.0630516
Waldner	0.063046
Baum	0.0629595
Dubus	0.0629533
Davey	0.0628838
Culpepper	0.0627697
Chang	0.0627612
Pioline	0.0627274
"El Hage"	0.0626704
Tate	0.0626685
Cline	0.0626389
Haworth	0.0626317
Hatfield	0.062613
Tauziat	0.0625145
Solis	0.0621744
Stahl	0.0620841
Burnett	0.0620722
Levitt	0.0620514
Cai	0.06194
Ince	0.0617717
Burleigh	0.0617407
Belo	0.0617284
Rashid	0.0614888
Santoro	0.0614573
"Cedric Pioline"	0.0614445
Dunleavy	0.0614137
Kang	0.0613902
Ong	0.0613195
Marchand	0.0613134
Barker	0.0611589
Nunez	0.0611507
Brister	0.0611342
Mahomes	0.0610848
Gutman	0.0610761
Beilin	0.0609692
Herges	0.0609588
Iliescu	0.0609168
Whaley	0.0609013
Cunningham	0.0608152
Grimsley	0.0607505
Ritchie	0.0605613
Beasley	0.0605533
Sparks	0.0604962
Reynoso	0.060404
Zou	0.0603386
Gartner	0.0602777
Hamid	0.0602534
Weiner	0.0601918
Bonner	0.0601767
Sassa	0.0600995
Slatkin	0.0600221
Ruehe	0.0598434
Lobos	0.0597638
McPhee	0.0597382
Gaudenzi	0.0596564
Howell	0.0594549
Aventajado	0.0594294
estes	0.0594127
Nasrallah	0.0592852
Lipstadt	0.0592103
Bjorkman	0.0591678
Hirst	0.0591563
HELLER	0.0590696
Corretja	0.0589507
Helton	0.0589345
))
(christian (desc 73082.7) (sims
Muslim	0.219749
Catholic	0.208176
"Roman Catholic"	0.180645
Jew	0.164836
Protestant	0.138016
Hindu	0.135419
Shiite	0.131377
Arab	0.130692
Buddhist	0.130557
Moslem	0.125007
minority	0.124194
Serbs	0.123819
Sikh	0.119367
Albanian	0.115717
Mormon	0.113837
Baptist	0.112023
citizen	0.11198
Palestinian	0.10884
Hispanic	0.107653
people	0.1075
"Southern Baptist"	0.105368
Kurds	0.105298
black	0.104778
immigrant	0.103706
conservative	0.103526
follower	0.103305
Jewish	0.103136
resident	0.1015
activist	0.100683
"native American"	0.0998951
settler	0.0995727
"Shiite Muslim"	0.0973792
Gay	0.0972698
believer	0.0971211
Chinese	0.0969635
Sunni	0.0964974
Baptists	0.0963874
Presbyterian	0.0960029
American	0.0955328
African-American	0.09487
Orthodox	0.0946908
Gypsy	0.0944109
civilian	0.0939868
student	0.0936923
nationalist	0.0932337
foreigner	0.0923354
church	0.091926
supporter	0.0918688
farmer	0.0917276
Republican	0.0915651
Israeli	0.0913724
woman	0.09047
"Puerto Rican"	0.0902909
"ethnic group"	0.0900502
clergy	0.089427
group	0.0880274
community	0.087938
Mexican	0.087842
environmentalist	0.0875381
politician	0.0872924
member	0.0867978
"religious leader"	0.0865197
fundamentalist	0.0859987
youth	0.0855059
feminist	0.0853547
extremist	0.0851727
homosexual	0.0851042
intellectual	0.0850294
atheist	0.0842808
Hutu	0.0842733
voter	0.0841917
worker	0.0840687
evangelicals	0.083953
African	0.0837415
Turk	0.0834352
villager	0.0833019
Democrat	0.0831651
"American Indian"	0.0830093
liberal	0.0828747
Iranian	0.0826876
"union member"	0.0825199
refugee	0.082217
Russian	0.0821423
Tibetans	0.0816066
parent	0.081584
Latino	0.081185
dissident	0.0810053
Indian	0.0809331
journalist	0.0803615
religion	0.0802655
Irish	0.0802057
Tutsi	0.0798917
"African American"	0.0798244
protester	0.0797054
Croats	0.0792432
leftist	0.0790419
militant	0.0788268
lawmaker	0.0787554
businessmen	0.0787532
family	0.0786654
white	0.0785137
Southerner	0.0784974
rebel	0.0783424
tourist	0.078127
consumer	0.077862
soldier	0.0776545
"Kosovo Albanians"	0.0775543
cleric	0.0775239
faction	0.0769517
Asian-American	0.0766822
individual	0.0765604
guerrilla	0.0764887
athlete	0.0764353
"South African"	0.0754145
"Christian church"	0.0752644
missionary	0.0752622
"Israeli Arabs"	0.0751943
demonstrator	0.0751453
priest	0.0750765
"middle class"	0.0750378
worshipper	0.0750051
adult	0.0749794
fan	0.0748741
investor	0.0747955
teacher	0.0747527
leader	0.074292
monk	0.0742553
man	0.0739719
many	0.0739406
Filipino	0.0738724
Cuban	0.0736487
local	0.0735628
those	0.0735125
pilgrim	0.0733535
"Orthodox Jews"	0.0733255
Nigerian	0.0731824
user	0.07305
"East Timorese"	0.0730418
male	0.0727419
peasant	0.0726415
terrorist	0.0725946
reformer	0.0723771
"college student"	0.0721454
"Shiite Muslims"	0.0720836
Tutsis	0.0719076
Asian	0.0718739
European	0.0715119
"New Yorker"	0.0714935
Islam	0.0714911
Lutheran	0.0714543
inmate	0.0713535
volunteer	0.0713032
"political leader"	0.0711712
Tamil	0.0711249
teen-ager	0.0710926
Kenyan	0.0710303
Croat	0.0710185
expatriate	0.0710165
legislator	0.0710133
"political party"	0.0708708
loyalist	0.070708
Cambodian	0.0706151
migrant	0.0704949
child	0.0703925
professional	0.0703459
scientist	0.0701824
party	0.0700947
rabbi	0.0700074
Hutus	0.0699425
militia	0.0699034
mainstream	0.069863
nation	0.0698569
Iraqi	0.0697309
denomination	0.0696948
Libertarian	0.0696356
Tibetan	0.0695907
person	0.0694838
ally	0.0694675
prisoner	0.0694554
government	0.0693699
employee	0.0692872
Ugandan	0.0692
folk	0.0690187
smoker	0.0689926
"right wing"	0.0689628
Serb	0.0688839
victim	0.0688196
Communist	0.0685124
doctor	0.0684801
Fishermen	0.0684109
tribe	0.0683157
population	0.0682894
Yoruba	0.0682674
listener	0.0682427
scholar	0.0675563
laborer	0.0674414
moderate	0.0674048
Pakistani	0.0673754
advocate	0.0673261
neighbor	0.0671843
))
("Christian Bale" (desc 2220.3) (sims
"Ewan McGregor"	0.154162
"Kevin Kline"	0.127895
"Mandy Patinkin"	0.111991
"Matthew Broderick"	0.111267
"Haley Joel Osment"	0.110068
"JOHN TURTURRO"	0.10183
"Rupert Everett"	0.0923469
"Stanley Tucci"	0.0891527
"Holly Hunter"	0.0880241
Broderick	0.0864729
"Jeremy Irons"	0.0849577
"Michelle Pfeiffer"	0.0829352
"Robert Carlyle"	0.0812955
"Winona Ryder"	0.0809394
"Catherine Deneuve"	0.0805108
"Vanessa Redgrave"	0.0803897
"Sarah Jessica Parker"	0.0788132
"Ethan Hawke"	0.078618
"Jamie Foxx"	0.0774935
"Ian Holm"	0.0771346
"Ashley Judd"	0.0766002
"Christopher Reeve"	0.07534
"Richard Dreyfuss"	0.0743183
"Dylan McDermott"	0.0726375
"James Van Der Beek"	0.0706076
"Cate Blanchett"	0.0702339
"Tobey Maguire"	0.0697152
"Ryan Phillippe"	0.0696585
"Rob Lowe"	0.0694314
"Nick Nolte"	0.069291
"Kathleen Turner"	0.0675573
"Oliver Platt"	0.0674187
"Patrick Stewart"	0.067313
"Kate Winslet"	0.0672051
"Kevin Bacon"	0.0670805
"Antonio Banderas"	0.0664491
"Heather Graham"	0.0661996
"Richard Burton"	0.0659639
"Julie Andrews"	0.0654365
"Keanu Reeves"	0.0652195
Costner	0.0651677
"Robert Downey Jr."	0.0648231
"Michael Douglas"	0.0646953
"Sarah Michelle Gellar"	0.0646709
Cleese	0.064556
"Henry Fonda"	0.0644791
"Chow Yun-Fat"	0.0641042
"Wesley Snipes"	0.063615
"Calista Flockhart"	0.0633524
"Catherine Zeta-Jones"	0.0633438
"Matthew McConaughey"	0.0621662
"James Woods"	0.0613507
"Jon Voight"	0.0612422
"Bill Murray"	0.0611269
"Brendan Fraser"	0.0609652
"Joan Allen"	0.0606675
"Renee Zellweger"	0.0606595
"Denis Leary"	0.0605842
"Billy Crudup"	0.0604717
"David Spade"	0.0598637
"Kirsten Dunst"	0.059819
"James Earl Jones"	0.0593695
"Matthew Perry"	0.0590373
"Dan Hedaya"	0.0589361
"Kirk Douglas"	0.0587435
"Dennis Quaid"	0.058439
"Tom Selleck"	0.0583557
"Kim Basinger"	0.0580827
"Ian McKellen"	0.0580094
"John Leguizamo"	0.0576185
"Martin Lawrence"	0.0575
"Morgan Freeman"	0.0572517
"Andrei Babitsky"	0.0571591
"Burt Lancaster"	0.0563959
"Vivien Leigh"	0.0560913
"Sigourney Weaver"	0.0559577
"Nigel Hawthorne"	0.0557923
"Robert DeNiro"	0.055627
"Demi Moore"	0.0555341
"Albert Brooks"	0.0553782
"Famke Janssen"	0.0552145
"True Thing"	0.0552093
"Cameron Diaz"	0.0550952
"Lisa Kudrow"	0.0550905
"Edward Furlong"	0.0550564
"Parker Posey"	0.0550311
"Val Kilmer"	0.0546406
"Sidney Poitier"	0.0544192
"Diane Keaton"	0.0540081
"Richard Gere"	0.0538678
"Hugh Grant"	0.0536851
"Sally Field"	0.0536679
"Claire Danes"	0.0535867
"Melanie Griffith"	0.053583
"Minnie Driver"	0.0535388
"Spencer Tracy"	0.0534231
"Roberto Benigni"	0.0534022
"Queen Latifah"	0.0533885
"Mark Wahlberg"	0.0533787
"Jimmy Smits"	0.0533725
"Susan Sarandon"	0.0533071
"Uma Thurman"	0.0531521
"Taye Diggs"	0.0529981
"Jeff Bridges"	0.052997
"Michael J. Fox"	0.0529431
"Glenn Close"	0.0521935
"Ally Sheedy"	0.051687
"Jessica Lange"	0.0516333
"Kevin Costner"	0.0515176
"Jimmy Stewart"	0.051488
"Meryl Streep"	0.0514161
"Alicia Silverstone"	0.0513268
"Annette Bening"	0.0513062
"Sela Ward"	0.0510458
"Michael Clarke Duncan"	0.0509119
"Jack Lemmon"	0.0507676
"Steve Zahn"	0.0507533
"Martin Sheen"	0.0505792
"Paul Rudd"	0.0501003
"William Hurt"	0.0499569
"Stephen Rea"	0.0496539
"AL PACINO"	0.0495832
Downey	0.0495095
"Harvey Keitel"	0.0493956
"Michael Caine"	0.0492933
"Joseph Fiennes"	0.0491189
Midler	0.0490625
"Russell Crowe"	0.0490503
Sealy	0.0489776
Braugher	0.0487577
"Central Station"	0.0487457
"Bernadette Peters"	0.0486653
"Juliette Lewis"	0.0482309
"Geena Davis"	0.0480195
"Natalie Portman"	0.0478687
"Pierce Brosnan"	0.0478418
Pvt	0.0478285
"Julianne Moore"	0.0478045
"Sean Penn"	0.0477104
"Norm MacDonald"	0.047669
"Chris Klein"	0.0475397
"Cuba Gooding Jr."	0.0474808
"Ben Stiller"	0.0474355
"Sylvester Stallone"	0.0474281
"Chevy Chase"	0.0473003
"Aidan Quinn"	0.0470724
"John Cusack"	0.0466668
"Neve Campbell"	0.0466181
swank	0.0464078
Tucci	0.0463478
"Tracey Ullman"	0.0463257
"Ed Harris"	0.0462714
"Ahmed Ressam"	0.0462675
"Kelsey Grammer"	0.0462259
"Omar Epps"	0.045981
"Carol Burnett"	0.0456979
"Jason Alexander"	0.0456638
"Bridget Fonda"	0.0456452
"Jackie Chan"	0.0455504
"Danny DeVito"	0.0455153
"Gary Cooper"	0.0454283
"W.C. Fields"	0.0453451
"Katharine Hepburn"	0.045212
"Samuel L. Jackson"	0.0451633
"Brenda Blethyn"	0.0451292
"Leelee Sobieski"	0.0450583
"Faye Dunaway"	0.0450213
"Johnny Depp"	0.0449812
"Jennifer Love Hewitt"	0.0449326
"Alec Baldwin"	0.0448691
"Emily Watson"	0.0447771
"Liam Neeson"	0.0444613
"Anthony Hopkins"	0.0444068
"Bette Midler"	0.044322
"Helen Mirren"	0.0442598
"Jamie Lee Curtis"	0.0440707
"James Cagney"	0.0440342
"Nathan Lane"	0.0440225
"Jay Mohr"	0.043979
"Bruce Willis"	0.0438038
"Brian Dennehy"	0.0436972
Kidman	0.0435068
"Meg Ryan"	0.0434762
"Alfre Woodard"	0.0434245
"George Clooney"	0.0434194
"Bill Pullman"	0.0433455
"Will Smith"	0.0433277
"Dan Aykroyd"	0.0430336
Ruehe	0.0429483
Andreychuk	0.0429183
Chicagoans	0.0429148
"Robert de Niro"	0.0426448
"Angela Bassett"	0.0426308
"Geoffrey Rush"	0.0425399
"Humphrey Bogart"	0.0423997
"Gabriel Byrne"	0.0423167
"Nicolas Cage"	0.0421498
"Gene Hackman"	0.0421224
"Natasha Richardson"	0.04201
"Steve McQueen"	0.0419644
))
("Christian church" (desc 5621.85) (sims
"place of worship"	0.116741
"Protestant denomination"	0.10261
synagogue	0.100118
"house of worship"	0.0943818
denomination	0.0943393
Protestant	0.0877154
lamasery	0.0807664
Protestantism	0.0772706
"non-governmental organizations"	0.0767136
congregation	0.0760649
"United Methodist Church"	0.0755405
mosque	0.0753766
christian	0.0752644
Christianity	0.0721976
Baptists	0.0717092
sect	0.0702489
"Presbyterian Church"	0.0699203
NGOs	0.0692341
Lutheran	0.0690198
Orthodox	0.0684887
"community center"	0.0663443
clergy	0.0659939
Anglican	0.0658868
evangelicals	0.065854
"religious order"	0.0655938
"educational institution"	0.0651301
"church service"	0.0631141
"private corporation"	0.0622154
Cathedral	0.062045
clergymen	0.0618598
"military installation"	0.0613831
Monastery	0.0612206
"tea house"	0.0606787
seminary	0.0606395
"abortion clinic"	0.0601525
diocese	0.0593194
"social organization"	0.0591085
"Roman Catholic Church"	0.0589902
"Orthodox Church"	0.0588813
"Red Cross Society"	0.0584498
"Catholic Church"	0.0583911
parish	0.0578623
Convent	0.057507
Buddhist	0.0574799
"labor union"	0.0568701
shanty	0.0561094
missionary	0.0560998
"National Council of Churches"	0.0553062
"Episcopal Church"	0.055252
"military post"	0.0550675
"financial organization"	0.0549736
"nonprofit organization"	0.0549294
"Aryan Nations"	0.054403
"Catholic school"	0.0543771
"sales outlet"	0.0541715
"flour mill"	0.0541161
"Southern Democrats"	0.0539609
"social group"	0.0538022
"Moro National Liberation Front"	0.0536976
"New York Democrats"	0.0534507
firehouse	0.0531705
Baptist	0.0530979
pentecostal	0.0529215
"Ku Klux Klan"	0.0529187
"secondary school"	0.052815
"shopping center"	0.0526845
vertebrate	0.0523405
carmakers	0.0523218
"trade union"	0.0522472
"business establishment"	0.05193
"dance hall"	0.0519221
"community newspaper"	0.0518916
Presbyterian	0.0518574
Episcopalian	0.0518285
chaebol	0.0516672
"business organization"	0.0515631
distillery	0.0511181
chapel	0.051056
"Radical Party"	0.0510141
hostel	0.050921
shrine	0.0508784
"Asia Society"	0.0506921
fastest-growing	0.050304
"political movement"	0.0502602
"fraternity house"	0.0502024
"church member"	0.0501641
"life insurer"	0.0500177
shipbuilder	0.0499401
teahouse	0.04979
dispensary	0.0493031
busiest	0.0492918
leftist	0.0491169
"private foundation"	0.0490682
Amal	0.049053
Moslem	0.048941
crematorium	0.0486752
"office building"	0.0486479
"religious leader"	0.0485791
"Roman Catholic"	0.0485177
"U.N. agencies"	0.0484878
beekeeper	0.0483353
"TV station"	0.0482678
"Muslim Brotherhood"	0.0482453
"New Democrats"	0.0481633
Parthenon	0.048158
"concert hall"	0.0480967
"apartment house"	0.0478777
"Islamic Jihad"	0.0477226
Klan	0.0477182
pagoda	0.0477114
metropolises	0.0476706
businesswomen	0.0475763
"apartment building"	0.0475165
"burial ground"	0.0474954
"Forbidden City"	0.047295
"steel company"	0.0471599
"fire station"	0.0471275
"South Carolinian"	0.0470928
Islam	0.0470058
fortification	0.046771
orphanage	0.0467218
"Riverside Church"	0.0467152
"Chinese Embassy"	0.0467067
"elementary school"	0.0466845
"United Nations Industrial Development Organization"	0.046637
"No. @s"	0.0465529
bed-and-breakfasts	0.0465518
"Israeli Embassy"	0.0464366
"Southeastern Legal Foundation"	0.0464343
brewery	0.0464209
discotheque	0.0464147
"navy base"	0.0463984
"Southern Baptist"	0.0462662
"business leader"	0.0461326
"shopping mall"	0.0460543
"Russian Orthodox Church"	0.0460316
"movie house"	0.0459324
"Japanese Embassy"	0.0457624
"medical institution"	0.0456566
"Herri Batasuna"	0.0456446
dissident	0.0456088
cistern	0.0455618
"industrial enterprise"	0.0455618
"travel agency"	0.0454892
transformer	0.0454507
"post office"	0.0453977
"more than @@@,@@@ acres"	0.0453547
"labor movement"	0.0453511
"Russian Embassy"	0.0452855
fortress	0.0452517
"school district"	0.0452387
"primary school"	0.0452267
"Orthodox Christians"	0.0451554
"oil refinery"	0.0450835
"work unit"	0.045051
barrack	0.0450215
"Sunday school"	0.0450033
"middle school"	0.0449558
"Likud Party"	0.0449345
"building site"	0.0449309
"Vietnamese Communist Party"	0.0449306
tomb	0.0449199
locality	0.0446997
"Baby Bells"	0.0444788
"Democratic Leadership Council"	0.0443512
"housing sale"	0.0443232
"commercial enterprise"	0.0442904
"oil producer"	0.0442791
"break of serve"	0.0440654
Basilica	0.0439783
"Hollywood studio"	0.0439594
"funeral home"	0.043838
"more than @,@@@ acres"	0.0437432
"interest group"	0.043713
"two schools"	0.0436804
"publishing house"	0.0436424
dwelling	0.0436233
"botanical garden"	0.0436046
CAS	0.0434998
"open-air market"	0.043414
"business school"	0.0433457
"Alcoholics Anonymous"	0.0433357
"fire wall"	0.0431659
monk	0.0431508
evangelist	0.0431245
Zionist	0.0430339
"row house"	0.0429806
"Potala Palace"	0.0429779
multinationals	0.0428264
"copper mine"	0.0428232
theologian	0.0428191
"U.S. Information Agency"	0.0426313
"paramilitary organization"	0.042554
"military position"	0.0425391
bookstore	0.0425334
theology	0.0425206
SEZs	0.0424644
preacher	0.0423628
Copt	0.0420883
"recreational facility"	0.0420779
))
("Christian Coalition" (desc 13216.4) (sims
"Sierra Club"	0.155304
"National Rifle Association"	0.149149
"Family Research Council"	0.147548
AFL-CIO	0.14604
"American Civil Liberties Union"	0.14242
NAACP	0.136282
"Human Rights Campaign"	0.130041
"Anti-Defamation League"	0.127022
NRA	0.126603
"Democratic Leadership Council"	0.124026
"Cuban American National Foundation"	0.123516
AARP	0.122866
"National Organization"	0.122599
"Rainbow/PUSH Coalition"	0.119086
"right to life"	0.117661
"Handgun Control"	0.116692
"National Education Association"	0.116329
"American Association of Retired Persons"	0.115758
GOPAC	0.11444
ACLU	0.113307
NARAL	0.112252
"National Abortion and Reproductive Rights Action League"	0.111883
"National Association"	0.111482
"National Council of La Raza"	0.110669
"American Bar Association"	0.109622
"Amnesty International"	0.103223
"Log Cabin Republicans"	0.102329
"U.S. Chamber of Commerce"	0.102327
"Urban League"	0.102239
"Handgun Control Inc."	0.102077
DLC	0.0995512
"National Republican Congressional Committee"	0.0987549
"Motion Picture Association of America"	0.0985104
"Board of Elections"	0.0972591
Greenpeace	0.0970551
"Democratic National Committee"	0.0951085
"Planned Parenthood"	0.0948493
"New York Civil Liberties Union"	0.0943164
"National Alliance"	0.0941362
"American Medical Association"	0.0923127
"Common Cause"	0.0921027
"National Council of Churches"	0.0917378
"American Federation"	0.0915635
"Republican National Committee"	0.0914735
"League of Conservation Voters"	0.0910664
"American Legion"	0.0898743
"Democratic Party"	0.0898673
"Southern Baptist Convention"	0.0897967
"Reform Party"	0.0891828
"Securities Industry Association"	0.0875245
"Republican Party"	0.0874527
"American Jewish Committee"	0.0870757
Hamas	0.0868941
"Democratic Senatorial Campaign Committee"	0.0868347
"Department of Corrections"	0.0866993
"Operation Rescue"	0.086596
"Audubon Society"	0.0863339
"chamber of commerce"	0.0861922
"Promise Keepers"	0.0858694
"American Lung Association"	0.0858311
"National Federation"	0.0858048
IPU	0.0850271
"Republican Leadership Council"	0.0849876
"Democratic Congressional Campaign Committee"	0.0848667
"World Jewish Congress"	0.0846286
"National Urban League"	0.0844227
"American Heart Association"	0.0843178
"Electronic Privacy Information Center"	0.0838676
USOC	0.0829661
"Ethics Commission"	0.0829116
"Transparency International"	0.0825956
union	0.0823992
"Operation Lifeline Sudan"	0.0823649
"Conservative Party"	0.082029
PATA	0.0819715
Klan	0.0815925
"Heritage Foundation"	0.0814368
"Players Association"	0.0808835
"United Way"	0.0808326
DNC	0.0807647
ADL	0.0807051
"American Red Cross"	0.0801207
"Business Council"	0.0800445
"Families USA"	0.0799633
"District Council"	0.0798317
"Judicial Watch"	0.0793332
Interpol	0.0789
"American Bankers Association"	0.0787909
association	0.0782528
WEF	0.0782255
"Aryan Nations"	0.0781437
HKTA	0.0780986
"Communications Workers of America"	0.0777918
"Likud Party"	0.0771953
IEA	0.0770713
"U.S. Soccer Federation"	0.0766028
"Violence Policy Center"	0.0765038
"Asia Society"	0.0760976
"labor union"	0.0760643
"African National Congress"	0.0760447
"National Association of Broadcasters"	0.0759272
"Pat Robertson"	0.0757277
"Southern Poverty Law Center"	0.0756383
"Federal Emergency Management Agency"	0.0745817
"Islamic Jihad"	0.0741813
"Liberal Party"	0.0737261
"World Church"	0.073555
CMA	0.0732782
"Recording Industry Association of America"	0.0729332
"Port Authority"	0.0726078
Teamsters	0.0723927
"Electronic Frontier Foundation"	0.072271
"Iraqi National Congress"	0.0720302
"Radical Party"	0.0718626
"Congressional Black Caucus"	0.0718453
"Alcoholics Anonymous"	0.0718075
ANC	0.071646
"U.S. Olympic Committee"	0.0715098
"Nahdlatul Ulama"	0.0711652
conservative	0.0710944
UNAIDS	0.0707024
"Southeastern Legal Foundation"	0.0704647
GOP	0.070458
"Salt Lake Organizing Committee"	0.0703931
"Nationalist Party"	0.070379
"board of education"	0.0702356
PTA	0.0701829
"Ku Klux Klan"	0.0699126
"James Dobson"	0.0698322
UNICEF	0.0698254
"Russian Space Agency"	0.069781
"Green Party"	0.0695584
"National Association of Manufacturers"	0.0693078
RNC	0.0691721
"American Association of Health Plans"	0.0691457
"League of Women Voters"	0.0683648
"Air Transport Association"	0.0683567
"Bharatiya Janata Party"	0.067807
"Consumer Federation"	0.0676576
CCF	0.0675191
"Congress Party"	0.0674263
TDC	0.0674172
"USA Basketball"	0.0673883
NP	0.0672603
"Human Rights Watch"	0.0669707
"NFL Players Association"	0.0669337
"Falun Gong"	0.0667418
"Jerry Falwell"	0.0665349
BJP	0.0663829
VFW	0.0663734
"National Audubon Society"	0.0660294
guild	0.0660139
federation	0.0658729
"National Front"	0.0658566
"Olympic Committee"	0.0657083
TrustE	0.0654241
Caritas	0.065376
"Wine Institute"	0.0653694
"Defense Agency"	0.0653543
"Education Department"	0.0652181
"Health Department"	0.065172
"World Food Program"	0.0650942
KKK	0.0648815
"Mormon Church"	0.06469
"think tank"	0.0646196
"National Transportation Safety Board"	0.0643134
IFP	0.0643128
"Center for Democracy"	0.0641986
Oxfam	0.0641633
ama	0.0639377
"Socialist Party"	0.0638358
"United Auto Workers"	0.0636877
SCLC	0.0636565
OCA	0.0635929
WFP	0.063513
NEA	0.0633767
Coalition	0.0633613
Mensa	0.063312
YankeeNets	0.0632227
SFC	0.0632003
"Labor office"	0.06319
OSCE	0.063179
"Communist Party"	0.0631288
MDC	0.0627899
CWA	0.0627459
"National Party"	0.0626958
UNESCO	0.0626479
"Department of Public Safety"	0.062559
Fatah	0.0625403
"Center for Responsive Politics"	0.062508
ABA	0.0624203
MTA	0.062283
UPU	0.0620855
"National Democratic Alliance"	0.0620177
NSC	0.0619915
"trade association"	0.0619496
RPR	0.0618974
"interest group"	0.0618146
"National Economic Council"	0.0617462
PAC	0.0617302
))
("Christian Democrat" (desc 999.202) (sims
"Social Democrat"	0.238824
"Ulster Unionist"	0.22249
ex-communist	0.166418
"Israeli Arab"	0.163789
DPP	0.153563
Lakas	0.14377
"Republican House"	0.142169
Sandinista	0.140993
"Black Panther"	0.140362
UML	0.140295
hardline	0.139349
"Social Democratic"	0.139232
"Democratic Revolution"	0.135195
UDF	0.134659
CDU	0.134467
"California Republican"	0.133914
"Northern Irish"	0.130396
ultranationalist	0.130267
UDM	0.128529
Islamist	0.125892
Gesher	0.124719
pro-Islamic	0.121899
"Radical Party"	0.121475
"New Democracy"	0.121428
Cuban-American	0.12068
"National Action"	0.120491
"NZ First"	0.116553
UNIP	0.115195
"Florida Republican"	0.113529
"Orthodox Jewish"	0.113515
"Bosnian Croat"	0.113338
RPR	0.110766
"Klaus Kinkel"	0.108583
dovish	0.107837
Inkatha	0.105665
"Southern Baptist"	0.105527
"Democratic Alliance"	0.104781
"House GOP"	0.104652
"New Zealand First"	0.102966
"other eight"	0.101842
PDP	0.101792
ultra-Orthodox	0.101144
"Georgia Republican"	0.100668
"Nationalist Party"	0.0989157
pro-western	0.0984682
Croat	0.0982632
hawkish	0.0981866
MDC	0.0970301
CHP	0.0967479
"Kosovo Albanian"	0.0965495
"Republican Senate"	0.0961025
UNP	0.0948533
UMNO	0.0942126
SPD	0.0936153
Meretz	0.0934758
royalist	0.0933367
"Greek Cypriot"	0.0930176
SDS	0.0929222
"Canadian Alliance"	0.0928104
PDI	0.0919067
Laban	0.0917933
SDLP	0.0917825
Fatah	0.0917765
"opposition party"	0.0903336
CSU	0.0897072
NLD	0.0896538
Renamo	0.0894782
"Freedom Union"	0.0892325
"New York Republican"	0.0892076
MMD	0.0890407
"Texas Republican"	0.0885283
FORD-Kenya	0.0880465
FN	0.0879549
Kosovar	0.0876238
Likud	0.0862729
CUF	0.0862215
Tory	0.0860566
"Center Party"	0.0859913
Pd	0.0858328
"Christian Democratic Union"	0.0857225
MQM	0.0856374
"Chart Pattana"	0.0854933
"Kosovar Albanian"	0.0849457
LDP	0.0848861
"Wolfgang Schuessel"	0.0846448
Lakas-NUCD	0.0846189
"Conservative Party"	0.084399
pro-British	0.084235
Sephardic	0.0842019
monarchist	0.0835952
Yabloko	0.0832768
"Ethnic Albanian"	0.0830406
"Liberal Party"	0.0828542
"Yitzhak Mordechai"	0.0826822
Zanu-pf	0.0823074
"Bosnian Muslim"	0.0818148
"Third Way"	0.08157
DAP	0.0812947
Latvian	0.0800498
"Bosnian Serb"	0.079949
"Goran Persson"	0.0798974
FRELIMO	0.0797801
UUP	0.0795481
Zapatista	0.0793477
slain	0.0792926
Kanu	0.0790492
HDZ	0.0786857
SDP	0.0780866
"Barisan Nasional"	0.0778136
coming-out	0.0777272
"other seven"	0.0775049
NDA	0.0768842
"National Front"	0.0766391
pro-business	0.0765443
segregationist	0.0764914
NDP	0.0764315
IFP	0.0761222
Safina	0.0757678
PASOK	0.0755102
AUM	0.0754599
"Colorado Party"	0.0753312
PRD	0.0749616
Sunni	0.0740976
"Likud Party"	0.0739828
Montenegrin	0.0739506
BJP	0.0737953
"Turkish Cypriot"	0.0734815
Hutu	0.0734572
"North Carolinian"	0.0733416
"Victor Chernomyrdin"	0.0730965
Bostonian	0.0730252
CCM	0.0729126
NEA	0.0728683
Abortion-rights	0.0728318
unionist	0.0727624
"Islamic Movement"	0.0727401
NC	0.0725657
PCF	0.0724861
"New Democrat"	0.0724438
"New Komeito"	0.0722809
Shas	0.072207
"New York City schools"	0.0721006
"Motherland Party"	0.0718147
Hesse	0.0714066
"House Republican"	0.0713656
"Freedom Front"	0.070983
"Christian Democrats"	0.0707912
PML-N	0.0706434
"Senate Republican"	0.0704116
"Northern League"	0.070301
councilwoman	0.070145
"Janata Dal"	0.0697943
"National League for Democracy"	0.0697153
"Shas Party"	0.0692721
RPP	0.0692665
secularist	0.0691301
teamster	0.0689947
Sakigake	0.068988
NRP	0.0689549
Belarussian	0.0684364
"Chinese NPC"	0.0683091
"natural law"	0.0681896
goalscorer	0.0676596
"Shiite Muslim"	0.0674967
Atlantan	0.0671713
Abkhazian	0.0666953
"trade unionist"	0.066418
Marxist	0.0661641
"Congress Party"	0.0660364
"Socialist Party"	0.0654291
Downstate	0.0651729
firebrand	0.0651464
"Popular Party"	0.0649902
"Aslan Maskhadov"	0.0649836
NKP	0.0648548
"Herri Batasuna"	0.0648052
"Gordon Brown"	0.0645292
"Jamil Mahuad"	0.0644214
"National Party"	0.0640601
"Democratic Left"	0.0639411
"Nihon Keizai"	0.0636956
"Igor Sergeyev"	0.0634449
SPS	0.0634172
"Sunni Muslim"	0.0633604
"Irish Catholic"	0.0632225
"Independence Party"	0.0631915
"two key"	0.0630796
"Oskar Lafontaine"	0.0630063
barrister	0.0629026
"Natan Sharansky"	0.0627956
"Jehovah's Witness"	0.0626551
"machinists union"	0.0626484
Moldovan	0.06255
left-winger	0.0625461
"Massimo D'Alema"	0.0622945
Golkar	0.0621684
Ukrainian	0.0619271
"Helmut Kohl"	0.0618508
mafioso	0.0617709
Kashmiri	0.0617623
))
("Christian Democratic Party" (desc 1487.25) (sims
"Christian Democratic Union"	0.24469
"Christian Democrats"	0.208753
"Democratic Alliance"	0.161165
"Civic Democratic Party"	0.152093
"Free Democratic Party"	0.130834
"Popular Party"	0.126639
"Radical Party"	0.120183
"New Korea Party"	0.119363
"United Malays National Organization"	0.119265
"Colorado Party"	0.112911
"Nationalist Party"	0.108971
"Social Democrats"	0.104211
"United Liberal Democrats"	0.101878
"National Democratic Party"	0.0999571
"National Resistance Movement"	0.0997868
CDU	0.0980714
"Democratic Leadership Council"	0.0970304
"Christian Social Union"	0.0968554
"State Peace and Development Council"	0.0968487
"Socialist Party"	0.0966524
"Cambodian People's Party"	0.0965667
"Liberal Party"	0.0951314
"Motherland Party"	0.0944288
"Operation Rescue"	0.0942756
"Zimbabwe African National Union-Patriotic Front"	0.0941144
"Social Democratic Party"	0.0936882
"Democrat Party"	0.0927266
"People's Democratic Party"	0.0926621
"Kenya African National Union"	0.0925081
Lakas-NUCD	0.0917302
"Nahdlatul Ulama"	0.0886031
"People's Party"	0.0875918
MPLA	0.0874953
"Olympic Committee"	0.0872819
"National Democratic Alliance"	0.0866904
"Golkar Party"	0.0863176
"Croatian Democratic Union"	0.0861891
"Barisan Nasional"	0.0861174
"Rwandan Patriotic Front"	0.0850812
"United National Independence Party"	0.0840185
"Likud Party"	0.0836074
"Baath Party"	0.0833349
"Kosovo Verification Mission"	0.0830784
"International Society"	0.0823505
"Russian Communist Party"	0.0809623
"National Action Party"	0.0800274
"Virtue Party"	0.0798233
"Meretz Party"	0.0794893
"Congressional Black Caucus"	0.0789423
"Parti Quebecois"	0.0789418
"Council of Economic Advisers"	0.0786262
"Democratic Unionist Party"	0.0780845
"Serbian Radical Party"	0.076277
"Inter-Parliamentary Union"	0.0761531
"Federal Council"	0.0758785
"National Front"	0.0754158
"New Democrats"	0.0752735
"Bangladesh Nationalist Party"	0.0751086
"Revolutionary Party"	0.0750346
"Islamic Jihad"	0.0749215
"Indonesian Democratic Party"	0.0748088
"Canadian Alliance"	0.0746973
CCM	0.0745093
"Liberal Democrats"	0.0738234
"African National Congress"	0.0733512
center-right	0.0731665
"Free Democrats"	0.0725109
"Awami League"	0.0723539
"True Path Party"	0.0719263
"Mormon Church"	0.071547
RPR	0.0711695
"Freedom Union"	0.0709131
"National Religious Party"	0.0701085
"Muslim Brotherhood"	0.0694707
"International Association of Machinists"	0.0691591
"Pakistan Muslim League"	0.0689453
"International Brotherhood"	0.0688094
"United National Party"	0.0686817
"Institutional Revolutionary Party"	0.0686602
PASOK	0.0686385
"World Church"	0.0685613
"Nepali Congress"	0.0685339
"Center Party"	0.0685005
"Islamic Salvation Front"	0.0683117
"Islamic Resistance Movement"	0.0680132
Golkar	0.0678828
"Conservative Party"	0.0677284
"Islamic Movement"	0.0676634
NRM	0.0675529
"Aryan Nations"	0.067354
"popular front"	0.0670938
LCD	0.0663518
"National League for Democracy"	0.0658432
"National Party"	0.0655622
"Universal Postal Union"	0.0654391
"New Democracy"	0.0644827
"Greek Orthodox Church"	0.0642691
Otpor	0.0635215
chancellery	0.0633011
UNIP	0.0632975
"Cuban American National Foundation"	0.0631591
"Judicial Watch"	0.0630106
"Lebanese Hezbollah"	0.0629258
"National Awakening Party"	0.0627977
Kuomintang	0.0627952
ZANU	0.0626601
UPC	0.0626018
"Bharatiya Janata Party"	0.062187
"Democratic Revolutionary Party"	0.0621817
UNP	0.0621205
"Green Party"	0.0620875
"Rainbow/PUSH Coalition"	0.0614244
"Local @@"	0.061259
"General Council"	0.0607209
"Serbian Renewal Movement"	0.0604889
"National Liberation Front"	0.0603644
"Iraqi National Congress"	0.0602129
"Tupac Amaru Revolutionary Movement"	0.0601503
CCF	0.0597862
"House Banking Committee"	0.0596983
"Labour Party"	0.0595385
Sakigake	0.0594745
"National Economic Council"	0.0590169
"China Society"	0.0589583
"Caribbean Community"	0.0589031
"Church of Jesus Christ of Latter-day Saints"	0.0586372
"Congress Party"	0.0581476
"District Council"	0.0580371
"jockey club"	0.0580151
"State Law and Order Restoration Council"	0.0575313
"Democratic Progressive Party"	0.0574614
"Justice Party"	0.0571063
SDP	0.0569906
"Democratic Left"	0.0566884
"El Mundo"	0.0561583
UDF	0.0561208
"National Action"	0.0558856
"National Association"	0.0558005
PDI	0.0555854
"New Party"	0.0555425
"Reform Judaism"	0.0552211
"Board of Supervisors"	0.0550692
PML-N	0.0548645
"Rules Committee"	0.0548151
"Christian Coalition"	0.0547843
"National Democratic Front"	0.0546824
"Senate Appropriations Committee"	0.0546811
"House International Relations Committee"	0.0546235
Meretz	0.0542593
"Banking Committee"	0.053912
"Executive Committee"	0.0535093
FIA	0.0533637
"Gaullist Rally"	0.0533396
"National Republican Congressional Committee"	0.0531719
LDP	0.0531403
"Democratic Front"	0.0531192
"Democratic Left Party"	0.0530036
"Janata Dal"	0.0529808
NSC	0.0529373
"House Budget Committee"	0.0529213
Awami	0.0523949
"Supreme Council"	0.0522245
"paramilitary organization"	0.052156
"United Front"	0.0521461
"Eighth National Committee"	0.0517991
WNBF	0.0515612
"Kurdish Workers Party"	0.0513942
"Palestine Liberation Organization"	0.0513728
"Christian Democrat"	0.0513439
PCF	0.0513298
"South Pacific Forum"	0.0507772
AmCham	0.0506247
FRELIMO	0.0504777
"Electoral Commission"	0.0503796
"Freedom Front"	0.0503731
"Provisional Ruling Council"	0.0502571
"political movement"	0.0502319
Yabloko	0.0501731
"social democracy"	0.0499176
Zanu-pf	0.049513
"Kurdish Workers"	0.0493801
"South African Communist Party"	0.0492613
"United Democratic Movement"	0.0491448
"Sudan People's Liberation Army"	0.0490492
"Warsaw Pact"	0.0489656
"Welfare Party"	0.0488772
"Family Research Council"	0.0488032
"National Organization"	0.0487922
Laban	0.048791
"Foreign Relations Committee"	0.0487513
"New Aspiration Party"	0.0486829
"Common Market"	0.0486276
"PLO Executive Committee"	0.0484273
"Patriotic Union of Kurdistan"	0.0483818
"Jose Maria Aznar"	0.0482818
"Atomic Energy Commission"	0.0482124
"Senate Governmental Affairs Committee"	0.0481829
"Liberation Front"	0.0481376
"Housing Authority"	0.0481326
Zajedno	0.0481195
))
("Christian Democratic Union" (desc 4256.22) (sims
"Christian Democrats"	0.279268
"Christian Democratic Party"	0.24469
CDU	0.22261
"Christian Social Union"	0.203492
"Democratic Left"	0.185619
"Social Democratic Party"	0.176895
"Canadian Alliance"	0.174502
"National League for Democracy"	0.173447
"Nepali Congress"	0.157167
"Free Democratic Party"	0.148018
"Socialist Party"	0.144052
"Bharatiya Janata Party"	0.143476
"Social Democrats"	0.142382
"Civic Democratic Party"	0.141007
"Democrat Party"	0.140186
"United Liberal Democrats"	0.139953
"Bangladesh Nationalist Party"	0.139765
"United National Independence Party"	0.139729
"Zimbabwe African National Union-Patriotic Front"	0.136869
"United National Party"	0.134587
"People's Party"	0.134256
"National Democratic Party"	0.13414
"United Malays National Organization"	0.131867
"National Action Party"	0.131388
"National Party"	0.130544
"Motherland Party"	0.129555
"Cambodian People's Party"	0.127854
Yabloko	0.127703
"Liberal Party"	0.127335
"Barisan Nasional"	0.126971
Jamaat-e-Islami	0.126725
"Freedom Union"	0.124456
Zanu-pf	0.123816
"Democratic Action"	0.123808
"United Democratic Movement"	0.123754
Renamo	0.121676
"Kenya African National Union"	0.120689
Lakas-NUCD	0.119594
"Pakistan Muslim League"	0.119186
"Croatian Democratic Union"	0.117224
"Sam Rainsy Party"	0.117214
"Awami League"	0.117201
"Indonesian Democratic Party"	0.11694
Golkar	0.116255
PASOK	0.115949
"National Religious Party"	0.114816
FORD-Kenya	0.114392
UNIP	0.114023
"Popular Party"	0.112722
"National Democratic Alliance"	0.112134
FUNCINPEC	0.112065
"New Democracy"	0.112026
CCM	0.111748
Meretz	0.1112
center-right	0.111096
"Conservative Party"	0.110215
FRELIMO	0.109544
MPLA	0.10792
"Russian Communist Party"	0.107886
"Ulster Unionists"	0.107628
"Inkatha Freedom Party"	0.107404
"National Resistance Movement"	0.107342
"Union of Right Forces"	0.107248
"Free Democrats"	0.107147
"New Korea Party"	0.106655
"National Action"	0.106275
"National Front"	0.104512
"Likud Party"	0.104469
LDP	0.104433
Likud	0.104323
"Liberal Democratic Party"	0.103853
"Janata Dal"	0.103438
"Herri Batasuna"	0.103275
"Serbian Renewal Movement"	0.102723
"Nationalist Party"	0.102366
"Grand National Party"	0.101642
"Congress Party"	0.100822
"African National Congress"	0.100297
"Virtue Party"	0.100145
CPN-UML	0.0998663
"Social Democratic"	0.0997543
UNP	0.09966
"social democracy"	0.0988192
"Ulster Unionist Party"	0.0978713
"Third Way"	0.0957909
"Democratic Party"	0.0953577
"Muslim Brotherhood"	0.0941714
"Labor Party"	0.093981
SPD	0.0935333
"United Front"	0.0934962
ZANU	0.0933681
"New Aspiration Party"	0.093051
"Democratic Progressive Party"	0.0926315
"True Path Party"	0.0920761
UDF	0.0920189
"New Komeito"	0.0919682
"National Alliance"	0.0916838
"Gerhard Schroeder"	0.0915901
center-left	0.091295
"Liberal Democrats"	0.0911906
"Democratic Revolution"	0.0911234
BNP	0.0903858
"Chart Pattana"	0.0900345
"National Liberation Front"	0.0889632
MMD	0.0887875
Awami	0.0876874
"New Party"	0.0875651
CPP	0.0875112
"Justice Party"	0.0872557
Shas	0.0869133
BJP	0.0867821
"Colorado Party"	0.0865079
"Christian Democrat"	0.0857225
"Islamic Salvation Front"	0.0855143
RPR	0.0854054
PDP	0.0851916
UF	0.0846245
NDP	0.0841705
Bundestag	0.0841421
"Democratic Alliance"	0.0840014
"National Union for Total Independence"	0.0838368
"Serbian Radical Party"	0.0832217
"Communist Party"	0.0825147
"Center Party"	0.081619
"People's Democratic Party"	0.0815659
"Institutional Revolutionary Party"	0.081221
"Vietnamese Communist Party"	0.0810477
Lakas	0.0797727
PPP	0.0794652
"Jean-Marie Le Pen"	0.0793528
"United Development Party"	0.0790008
NC	0.0780114
RPP	0.0777334
Safina	0.0771475
"Rwandan Patriotic Front"	0.0765951
"Welfare Party"	0.0761898
fatherland	0.0760273
PML-N	0.0750452
"Meretz Party"	0.074877
"New Democrats"	0.0745457
SDP	0.0743205
"Freedom Front"	0.0742941
"Green Party"	0.0742408
Otpor	0.0737665
SPS	0.073762
"Democratic Revolution Party"	0.0737201
"Golkar Party"	0.0734879
"National Union"	0.0734273
"District Council"	0.0734244
"Lebanese Hezbollah"	0.0720627
Guterres	0.0718979
royalist	0.071701
Laban	0.0716142
"Baath Party"	0.0704272
"Democratic Unionist Party"	0.0702736
Fatah	0.0702643
socialist	0.0701506
"State Peace and Development Council"	0.0700985
NRM	0.0699103
"Revolutionary Party"	0.0697895
Sandinistas	0.0697164
"Patriotic Union of Kurdistan"	0.0691287
Gesher	0.0687106
Kanu	0.0686112
"political movement"	0.068081
Tory	0.0678385
"Sam Rainsy"	0.0666767
"popular front"	0.0660606
"National Awakening Party"	0.0654244
PCF	0.0653908
UUP	0.0652433
coming-out	0.0652323
"Democratic Left Party"	0.0648137
"National Congress"	0.064781
PDI	0.0647222
AmCham	0.0646879
DYP	0.0646661
"Islamic Movement"	0.0639899
ANAP	0.0638817
MQM	0.06366
"Sudan People's Liberation Army"	0.0634708
SDS	0.0633859
ANC	0.0631773
"Mannesmann AG"	0.0627586
Kuomintang	0.0626436
"U.S. Soccer Federation"	0.0626188
"professional association"	0.0625678
"paramilitary organization"	0.0624711
"Inter-Parliamentary Union"	0.062243
"Olympic Committee"	0.0622338
"Southern Democrats"	0.0619571
"Parti Quebecois"	0.0617117
"trade union"	0.0613528
"Chinese Communist Party"	0.0613204
"House International Relations Committee"	0.0606801
"Nahdlatul Ulama"	0.0606156
"Reform Party"	0.0605536
"State Law and Order Restoration Council"	0.0603826
"National Republican Congressional Committee"	0.060325
PRI	0.0602695
))
("Christian Democrats" (desc 12752.9) (sims
"Christian Democratic Union"	0.279268
"Social Democrats"	0.248581
"Christian Democratic Party"	0.208753
"Social Democratic Party"	0.177819
"National Party"	0.159769
CDU	0.156946
"People's Party"	0.154973
"Liberal Democrats"	0.153874
SPD	0.152692
"Liberal Party"	0.152587
"Christian Social Union"	0.152402
"Bharatiya Janata Party"	0.150443
"Liberal Democratic Party"	0.145281
socialist	0.143515
"Socialist Party"	0.142378
"Civic Democratic Party"	0.136036
Meretz	0.135645
Likud	0.134458
LDP	0.133624
"Freedom Union"	0.133448
"Nepali Congress"	0.131961
"Free Democratic Party"	0.130404
"Congress Party"	0.130302
Yabloko	0.128852
"Likud Party"	0.126145
"Labor Party"	0.125647
"Green Party"	0.124221
BJP	0.123418
"Democratic Party"	0.122746
"National League for Democracy"	0.120354
Communist	0.118683
Coalition	0.118439
FUNCINPEC	0.118221
"Motherland Party"	0.112751
"Conservative Party"	0.112084
"African National Congress"	0.111884
"Popular Party"	0.111843
"National Front"	0.109205
"National Action Party"	0.10884
"Free Democrats"	0.108329
"Communist Party"	0.107265
Renamo	0.105177
Golkar	0.104982
"Bangladesh Nationalist Party"	0.103315
"Democratic Left"	0.102952
"United Liberal Democrats"	0.100231
"Nationalist Party"	0.0998154
"Institutional Revolutionary Party"	0.098829
"New Democracy"	0.0978085
"Croatian Democratic Union"	0.0977795
"United Democratic Movement"	0.0970723
"Gerhard Schroeder"	0.0965986
"Meretz Party"	0.0961222
"Awami League"	0.0951589
"Pakistan Muslim League"	0.0951552
"Cambodian People's Party"	0.0948551
"United National Party"	0.0946207
"New Aspiration Party"	0.0944649
"Ulster Unionist Party"	0.0935187
CPP	0.0932801
"Ulster Unionists"	0.0930509
nationalist	0.0928942
PRI	0.0919342
"political party"	0.0915782
"Center Party"	0.0910725
ANC	0.0909728
"National Religious Party"	0.0900151
"Kenya African National Union"	0.0897919
"Canadian Alliance"	0.0897424
Jamaat-e-Islami	0.0885487
"Zimbabwe African National Union-Patriotic Front"	0.0883092
"United National Independence Party"	0.0882044
"National Action"	0.0879277
"Democratic Left Party"	0.0878937
UNP	0.0876084
"Inkatha Freedom Party"	0.0874148
"Freedom Party"	0.0873074
Kohl	0.0871688
Shas	0.0865922
conservative	0.0861424
PPP	0.0854429
"National Democratic Party"	0.0844498
bloc	0.0839045
"Democratic Progressive Party"	0.083807
liberal	0.0834059
NC	0.0834055
"Serbian Renewal Movement"	0.0827303
Awami	0.0821571
"Democrat Party"	0.0819756
"Virtue Party"	0.0818109
Chancellor	0.0813016
"Indonesian Democratic Party"	0.081052
FRELIMO	0.0798055
CPN-UML	0.0796534
BNP	0.0795935
PASOK	0.0795581
"Colorado Party"	0.0788547
center-right	0.0784108
"Democratic Revolution Party"	0.0784008
Democrat	0.0780485
Pd	0.0776535
Schroeder	0.077263
NLD	0.0771114
"Rwandan Patriotic Front"	0.0763943
"Grand National Party"	0.076143
"Sam Rainsy Party"	0.0760552
"Barisan Nasional"	0.0756758
"Baath Party"	0.0755784
"New Democrats"	0.0751829
"Sam Rainsy"	0.0749867
"Russian Communist Party"	0.0748976
center-left	0.0748051
Greens	0.0740511
"Golkar Party"	0.0740298
RPR	0.0736102
faction	0.07358
leftist	0.073423
"Herri Batasuna"	0.0732278
opposition	0.0727832
Ranariddh	0.072698
Tory	0.0724531
"Democratic Action"	0.0724018
"True Path Party"	0.0720492
RPP	0.0716052
"Sinn Fein"	0.0713113
PML	0.0711353
"Helmut Kohl"	0.0711255
PRD	0.0710375
"Christian Democrat"	0.0707912
Lakas-NUCD	0.0706044
"Democratic Unionist Party"	0.0704285
UNIP	0.0701645
UDF	0.0701165
"Democratic Revolution"	0.0698518
centrist	0.0685313
"Janata Dal"	0.0683634
"Reform Party"	0.068127
"Union of Right Forces"	0.0680666
EX-COMMUNISTS	0.0680076
"United Front"	0.0679048
"Serbian Radical Party"	0.0676527
hardliner	0.0676266
"Vladimir Meciar"	0.0670615
moderate	0.0668867
PDI	0.066851
hard-liner	0.0667589
"Third Way"	0.0666177
Alliance	0.0665811
"New Party"	0.0664007
"Republican Party"	0.0660516
"Radical Party"	0.0658495
SDP	0.0656998
CCM	0.0655029
NP	0.0649836
"Islamic Salvation Front"	0.0649545
PDP	0.0647007
Megawati	0.0645867
Zanu-pf	0.0645461
"United Malays National Organization"	0.0644016
"National Democratic Alliance"	0.0643582
"New Komeito"	0.0641475
SPS	0.0641263
Zeman	0.0638993
D'Amato	0.0634975
Haider	0.0634036
"New Korea Party"	0.0627249
FORD-Kenya	0.0626258
reformist	0.0624772
"United Development Party"	0.0619998
MQM	0.0619871
"People's Democratic Party"	0.0617134
NAACP	0.0616389
"Social Democratic"	0.06152
"labor union"	0.0614564
Barak	0.0611826
CPV	0.0610382
"Jose Maria Aznar"	0.0610284
"Parti Quebecois"	0.0609097
unionist	0.0607001
FN	0.0606927
"National Alliance"	0.0605003
Yilmaz	0.0601525
"National Resistance Movement"	0.0600559
junta	0.0599524
"Cuban American National Foundation"	0.0597626
rightist	0.0596224
lawmaker	0.0595287
"Labour Party"	0.059504
Fatah	0.0594685
"Islamic Movement"	0.0594261
"Vaclav Klaus"	0.0593507
GOP	0.0592942
Zyuganov	0.0590237
"Islamic Welfare Party"	0.0590187
UF	0.0588184
"Welfare Party"	0.0587479
"Democratic Leadership Council"	0.0587277
"Olympic Committee"	0.0585683
"Democratic Alliance"	0.0581812
"Jean-Marie Le Pen"	0.0578953
))
("Christian Dior" (desc 2582.63) (sims
Dior	0.28683
Versace	0.190871
"Louis Vuitton"	0.188264
"Giorgio Armani"	0.18353
Gaultier	0.175699
"Ralph Lauren"	0.172723
"Bill Blass"	0.168532
Armani	0.156038
Valentino	0.153667
Celine	0.150488
Givenchy	0.148996
Chanel	0.141204
"Yves Saint Laurent"	0.13436
Gucci	0.118303
HERMES	0.117562
Chloe	0.117351
"Jil Sander"	0.107611
"Donna Karan"	0.102057
Renta	0.0962516
Prada	0.0957563
"Michael Kors"	0.0945128
"Dolce &AMP; Gabbana"	0.088075
clingy	0.0844377
"Christian Lacroix"	0.0835954
slinky	0.0831967
DKNY	0.0824775
Fendi	0.0796403
COUTURE	0.0795573
kor	0.0779175
"John Bartlett"	0.0765032
"Estee Lauder"	0.0751242
"Karl Lagerfeld"	0.0743405
"Calvin Klein"	0.0729886
L'Oreal	0.072876
"Helmut Lang"	0.0719289
"haute couture"	0.0689553
REVLON	0.065793
"Gianni Versace"	0.065083
Clinique	0.0643716
taffeta	0.0636505
bridesmaid	0.0609394
"high fashion"	0.0605086
"Betsey Johnson"	0.0541917
"John Galliano"	0.0535504
"navy blue"	0.0535077
"Tommy Hilfiger"	0.0533946
"Marc Jacobs"	0.0521387
halter	0.0496458
Halston	0.0490862
flapper	0.0487861
"Alexander McQueen"	0.0471258
"royal blue"	0.0453181
Mizrahi	0.0453097
madame	0.044783
brocade	0.0442414
fishnet	0.044051
"Brooks Brothers"	0.0438553
"powder blue"	0.043201
crepe	0.0424403
tulle	0.0417619
Gardiner	0.0412654
Karan	0.0403582
Ferragamo	0.0401699
))
("Christian Fittipaldi" (desc 1484.98) (sims
"Paul Tracy"	0.377366
"Al Unser Jr."	0.331778
"Scott Pruett"	0.308347
"Greg Moore"	0.293812
"Alex Zanardi"	0.259875
"Dario Franchitti"	0.25963
"Max Papis"	0.249239
"Michael Andretti"	0.247448
"Juan Montoya"	0.239399
"Adrian Fernandez"	0.236692
"Jimmy Vasser"	0.212917
"Bobby Rahal"	0.211606
"Robby Gordon"	0.195834
"Bryan Herta"	0.188571
"Kenny Brack"	0.154815
Vasser	0.145117
"Scott Sharp"	0.144872
"Billy Boat"	0.142578
"Didier Auriol"	0.123241
"Heinz-Harald Frentzen"	0.120479
Zanardi	0.114595
"David Coulthard"	0.114154
Franchitti	0.113122
"Rubens Barrichello"	0.110998
"Kenny Irwin"	0.11051
"Mario Andretti"	0.110262
"Juha Kankkunen"	0.108917
"Bjarne Riis"	0.106965
"Sam Schmidt"	0.104363
"Damon Hill"	0.103648
"Steve Park"	0.0999737
"Mika Salo"	0.0982126
Tracy	0.0964412
"Ricky Rudd"	0.0951093
"Michael Schumacher"	0.0911906
"Terry Labonte"	0.0897356
"Eddie Irvine"	0.0885157
"Bobby Labonte"	0.0883604
"Tyler Hamilton"	0.0879496
"Scott Goodyear"	0.0875514
"Jacques Villeneuve"	0.0861287
"Buddy Lazier"	0.0855992
"Richard Burns"	0.0840788
"Mike Skinner"	0.0840312
"Carlos Sainz"	0.0833796
"Adam Petty"	0.0826642
"Jeremy Mayfield"	0.0799984
"Wally Dallenbach"	0.078977
"MIka Hakkinen"	0.0783139
Montoya	0.0778271
"Sterling Marlin"	0.0765186
"Earnhardt Jr."	0.0760246
"Tony Stewart"	0.0759466
"Jeff Ward"	0.0757873
Coulthard	0.0756895
"Jeff Gordon"	0.0755075
Andretti	0.0754508
"Ralf Schumacher"	0.0750255
"Dale Jarrett"	0.0745801
"Rusty Wallace"	0.0734928
"Greg Ray"	0.0731238
"Geoffrey Bodine"	0.0727335
"Jerry Nadeau"	0.0724717
"Mark Martin"	0.0723788
"Jamal Lewis"	0.0711429
"Everett McIver"	0.0705334
"Jeff Burton"	0.0702738
"Colin McRae"	0.069785
"Daryl Johnston"	0.0691011
"Dale Earnhardt Jr."	0.0688694
"Li Na"	0.0684978
"Bobby Newcombe"	0.0678786
"Michael Redd"	0.0675652
Unser	0.0664769
"Alexandra Meissnitzer"	0.0656783
"Joe Nemechek"	0.06446
Herta	0.0641878
"Antawn Jamison"	0.0640214
"Eddie Cheever"	0.0637632
"Francesco Casagrande"	0.0614443
"Dara Torres"	0.0607186
Makinen	0.0598968
"Arie Luyendyk"	0.0595833
"Ernie Irvan"	0.059551
"Matt Kenseth"	0.0589333
"Todd Bodine"	0.0589092
"Jesse Orosco"	0.058631
"Bobby Hamilton"	0.0582988
"Ji Xinpeng"	0.0578484
"Amy van Dyken"	0.0576704
"Hu Weidong"	0.0576031
"Daniel Kowalski"	0.0574893
Sainz	0.0574449
"Leon Johnson"	0.0573831
"Jimmy Spencer"	0.0569011
Villeneuve	0.0565924
"Charlie Batch"	0.0565487
"Michelle Akers"	0.0563486
"Jarvis Turner"	0.0562649
"Tom Presthus"	0.056084
Robson	0.0560783
"Brian McBride"	0.0552601
"Elliott Sadler"	0.0549505
"Anita Wachter"	0.054741
"Thomas Stangassinger"	0.0545189
"Wang Yan"	0.0544052
"Guo Jingjing"	0.0539324
"Todd Husak"	0.0538638
"Jayson Williams"	0.0534684
"Ryan Kealy"	0.0531751
"David Trezeguet"	0.0529354
"Mike Richter"	0.0529336
"Miguel Indurain"	0.0529169
"Gary DiSarcina"	0.0528736
"Ward Burton"	0.0528444
"Herb Williams"	0.0524352
"Dale Earnhardt"	0.0523293
"Ricky Craven"	0.0521534
"Kyle Petty"	0.0518258
"Simeon Rice"	0.051734
"Claudia Pechstein"	0.0516375
Zuelle	0.0515999
"Merlene Ottey"	0.051597
"Mark Grace"	0.0515847
"Huang Xu"	0.0515825
"Christophe Dugarry"	0.0513854
"Ken Schrader"	0.051329
Doohan	0.0512255
"Mark Messier"	0.0510251
"Trent Green"	0.0510075
"Bryant Young"	0.0509623
"Hermann Maier"	0.0508579
"Byron Hanspard"	0.0507763
"Michael Westbrook"	0.05061
"Katja Seizinger"	0.0504278
"Michael Waltrip"	0.050412
"Jermaine Lewis"	0.0504023
"Michael Doohan"	0.0503765
Romario	0.0502542
Khorkina	0.0501471
"Grant Fuhr"	0.0500554
Ottey	0.0499289
Earnhardt	0.0498717
Taufik	0.0496673
Ohioan	0.0496368
"Lu Yufu"	0.0496339
"Bill Elliott"	0.0495181
"Alan Henderson"	0.0494813
"Jack McDowell"	0.0494005
"American Chanda Rubin"	0.0493742
"Fred Taylor"	0.0493048
"Yu Zhuocheng"	0.0492687
Aamodt	0.0492399
Schnyder	0.0489415
McRae	0.0488642
"Ron Dayne"	0.0488605
"Chris Osgood"	0.0488516
"John Andretti"	0.0488221
"Johnny Benson"	0.0487109
"David Wesley"	0.0486773
"Bobby Brown"	0.0486566
"Rick Fox"	0.048647
"Jarious Jackson"	0.0485756
"Hidetoshi Nakata"	0.0481414
"Arvydas Sabonis"	0.0479964
Foyt	0.0479648
"Alexei Urmanov"	0.0477124
"Doug Walker"	0.0476576
"Dejan Stankovic"	0.0475877
"Grant Hackett"	0.0475371
"Yang Yang"	0.0475325
Leetch	0.0475317
"Jim Thome"	0.0474111
"Willis Reed"	0.0472716
"Chris Weinke"	0.0471225
Akers	0.0470347
"Martina Ertl"	0.0469348
"Dennis Bergkamp"	0.0469242
"Pernilla Wiberg"	0.0468768
"Mark Madsen"	0.0466197
"Wang Wei"	0.0465526
"Jon Drummond"	0.0465463
"Freddie Mitchell"	0.0465357
"Brooke Bennett"	0.0465
"rock climber"	0.0463939
"Briton Greg Rusedski"	0.046389
"Inger Miller"	0.0462914
"Sang Lan"	0.0462748
"Trajan Langdon"	0.0461162
"Robert Edwards"	0.0460766
"Sarah Hughes"	0.0459497
"Shane Warne"	0.0459406
Samuelsson	0.0459206
"Bret Saberhagen"	0.0458757
"American Andre Agassi"	0.0458412
"David Seaman"	0.0457723
"Richard Petty"	0.0457171
Rahal	0.0452545
"Michael Wiley"	0.0452307
"Roy Keane"	0.0452255
))
("Christian Karembeu" (desc 1264.86) (sims
"Patrick Vieira"	0.283834
"Didier Deschamps"	0.278897
"Bixente Lizarazu"	0.237652
"Emmanuel Petit"	0.232237
"Marcel Desailly"	0.220864
"Youri Djorkaeff"	0.219262
"Laurent Blanc"	0.217904
"Lilian Thuram"	0.20884
"Clarence Seedorf"	0.152912
"Fernando Hierro"	0.148174
"Hidetoshi Nakata"	0.14291
"Nicolas Anelka"	0.138403
"Steve McManaman"	0.132957
"Edgar Davids"	0.131716
"Dejan Stankovic"	0.130836
"Robert Jarni"	0.120367
"Zinedine Zidane"	0.11965
"Ariel Ortega"	0.119175
"Fan Zhiyi"	0.114274
"Harry Kewell"	0.110421
"Zvonimir Boban"	0.107836
"Predrag Mijatovic"	0.10735
"Paul Ince"	0.106479
"Robert Prosinecki"	0.104015
"Andreas Moeller"	0.101911
"Raul Gonzalez"	0.101844
"David Trezeguet"	0.0998519
"Sinisa Mihajlovic"	0.0982877
"Luigi Di Biagio"	0.0965864
"John Collins"	0.0954565
"Marc Overmars"	0.0944383
Hagi	0.0942167
"Diego Simeone"	0.0939645
"Thomas Haessler"	0.0937403
"Dino Baggio"	0.0925046
"Frankie Hejduk"	0.0916465
"Robert Pires"	0.0901254
"Carlos Valderrama"	0.0852366
"Ronald de Boer"	0.084505
"Paul Merson"	0.0844692
"Gheorghe Hagi"	0.0831807
"Cesar Sampaio"	0.0823301
"Michael Laudrup"	0.0821599
"Marco Etcheverry"	0.0815156
"Marcelo Salas"	0.0784771
"Mario Stanic"	0.0766306
"Dan Petrescu"	0.076197
Leonardo	0.0754407
"Tony Adams"	0.0743377
"Eddie Lewis"	0.0736211
"Fabien Barthez"	0.0706262
"Alessandro Del Piero"	0.0699357
"Mauricio Cienfuegos"	0.0683859
"Christophe Dugarry"	0.0682358
Rivaldo	0.0682143
Zidane	0.0676418
Denilson	0.0670892
"Tab Ramos"	0.0670338
"Paul Scholes"	0.0661366
"Thierry Henry"	0.0654472
"Spartak Moscow"	0.0654094
"Lothar Matthaeus"	0.0640627
"Roy Keane"	0.0637749
"Jorge Campos"	0.0629713
"Michel Platini"	0.0625907
"Mike Burns"	0.0623775
"Davor Suker"	0.0620064
"Julie Foudy"	0.061811
"Dejan Savicevic"	0.061599
"Marina Anissina"	0.0612404
Gustafsson	0.0609997
"Enrico Chiesa"	0.0607529
"Mauricio Ramos"	0.0601608
"Filippo Inzaghi"	0.0601269
"Roberto Baggio"	0.0595365
"Luis Figo"	0.0593677
"Joy Fawcett"	0.059258
"Leonel Alvarez"	0.0591843
"Desert Hero"	0.0590914
"George Weah"	0.058168
"Carla Overbeck"	0.0579407
"Ben Olsen"	0.0577453
"Paul Gascoigne"	0.0576378
"Michelle Akers"	0.057045
"Michael Owen"	0.0562336
Testud	0.0562043
"Brian Laudrup"	0.0560473
"Phillip Cocu"	0.055317
"Roberto Carlos"	0.0552989
"John Harkes"	0.0550203
"David Beckham"	0.0546595
"Andy Williams"	0.0544773
"Eric Cantona"	0.0537804
"Eddie Pope"	0.0535773
Juninho	0.0534304
"Brandi Chastain"	0.0534188
"Claudio Reyna"	0.0533059
"Darren Anderton"	0.053157
Jair	0.0530876
"Kim Taek Soo"	0.0518141
"Christian Vieri"	0.0511679
Anelka	0.0499581
"Alexi Lalas"	0.0496357
Santoro	0.0491828
"Cobi Jones"	0.0489387
"Australian Mark Philippoussis"	0.0482257
"Clint Mathis"	0.048047
"Van Roost"	0.0474747
"Juergen Klinsmann"	0.047062
"Kate Sobrero"	0.0468765
"Olympiakos Piraeus"	0.0452538
Cafu	0.0450064
"High Yield"	0.0449617
Lapentti	0.0445592
Raoux	0.043399
"Hu Weidong"	0.042994
"Jeff Agoos"	0.0429461
Edmundo	0.0427838
Halard-Decugis	0.0420885
Villareal	0.0420841
"Jaap Stam"	0.0418922
Hendrawan	0.041853
"Paul Caligiuri"	0.0417959
"Marcelo Balboa"	0.0416471
"Faustino Asprilla"	0.0415011
"Thomas Dooley"	0.0414939
Gaudenzi	0.0412982
"Moses Tanui"	0.0408265
Djorkaeff	0.0402983
"Gary Neville"	0.0402202
"Candra Wijaya"	0.0401281
))
("Christian Lacroix" (desc 1306.1) (sims
Gaultier	0.205714
Valentino	0.192206
"Louis Vuitton"	0.141128
"John Bartlett"	0.135126
Renta	0.131656
"Yves Saint Laurent"	0.131023
"Donatella Versace"	0.126316
"John Galliano"	0.124856
Celine	0.12075
Armani	0.116268
"Alexander McQueen"	0.112446
Givenchy	0.106268
McQueen	0.10079
Lagerfeld	0.096499
"Dolce &AMP; Gabbana"	0.0946221
"Bill Blass"	0.0873092
"Christian Dior"	0.0835954
"Jil Sander"	0.0834897
"Helmut Lang"	0.0826836
"Karl Lagerfeld"	0.074124
"Ralph Lauren"	0.0719883
"Calvin Klein"	0.0701068
"Tommy Hilfiger"	0.0669122
Karan	0.0668524
Galliano	0.0640759
Lacroix	0.0620543
"Betsey Johnson"	0.0581019
"Donna Karan"	0.0578598
Dior	0.0566239
"J. Crew"	0.0553094
"Banana Republic"	0.0549884
Kimbell	0.0537266
Yamamoto	0.0531128
"Giorgio Armani"	0.0521631
Limbaugh	0.0514563
Mizrahi	0.0510882
DKNY	0.0490786
"Michael Kors"	0.0473656
Bartlett	0.0437908
Gehry	0.0419739
"Saint Laurent"	0.0412085
"Isaac Mizrahi"	0.0409895
))
("Christian Laettner" (desc 3886.6) (sims
"Joe Dumars"	0.190777
"Vin Baker"	0.172764
"Jerry Stackhouse"	0.171252
"LaPhonso Ellis"	0.170956
"Grant Long"	0.165317
"Grant Hill"	0.164764
"Kurt Thomas"	0.160418
"Derrick Coleman"	0.156789
"Brent Barry"	0.150382
"Tracy McGrady"	0.146968
"Shawn Kemp"	0.146595
"Jamal Mashburn"	0.144336
Laettner	0.143519
"J.R Reid"	0.140201
"Chris Crawford"	0.138851
"Alan Henderson"	0.136432
"Antonio McDyess"	0.136297
"Ray Allen"	0.135648
"Chris Gatling"	0.135302
"Theo Ratliff"	0.132891
"Matt Geiger"	0.13271
"Brian Grant"	0.130414
"CORIE BLOUNT"	0.128914
"Horace Grant"	0.128084
"Chris Webber"	0.127991
"Herb Williams"	0.127672
"Tom Gugliotta"	0.127316
"Austin Croshere"	0.126116
"Corliss Williamson"	0.125297
"Larry Johnson"	0.122159
"P.J Brown"	0.122145
"Alonzo Mourning"	0.122077
"Lamond Murray"	0.120933
"Gary Payton"	0.120214
"Mark Bryant"	0.120122
"Juwan Howard"	0.117501
"Keith Van Horn"	0.115999
"Glen Rice"	0.115989
"Robert Horry"	0.115935
"Dan Majerle"	0.115302
"Steve Smith"	0.114835
"Brendan Shanahan"	0.11475
"Mitch Richmond"	0.114747
"Kevin Garnett"	0.114607
"Maurice Taylor"	0.114568
"Tim Hardaway"	0.112982
"Damon Stoudamire"	0.112296
"Shareef Abdur-Rahim"	0.110563
"SCOTT BURRELL"	0.110218
"Terrell Brandon"	0.109641
"Danny Fortson"	0.109535
"Donyell Marshall"	0.108722
"Travis Knight"	0.106932
"Gary Trent"	0.106564
"Tamika Catchings"	0.105863
"Ron Harper"	0.105854
"Marcus Camby"	0.105756
"Lorenzen Wright"	0.105234
"Jalen Rose"	0.105006
"Rasheed Wallace"	0.104797
"Otis Thorpe"	0.104717
"Rick Fox"	0.104539
"Penny Hardaway"	0.104373
"Gabe Muoneke"	0.103229
"John Wallace"	0.102762
"Tim Duncan"	0.102278
"Rodney Rogers"	0.101954
"Joe Smith"	0.101864
"Chris Carrawell"	0.10154
"Eddie Jones"	0.101513
"Scot Pollard"	0.101224
"Mookie Blaylock"	0.10076
"Hu Weidong"	0.0999368
"Clifford Robinson"	0.0987094
"Anthony Mason"	0.0982465
"Dale Davis"	0.0970029
"Robert Traylor"	0.0969878
"Isaiah Rider"	0.0965815
"Cedric Ceballos"	0.0958161
"Elton Brand"	0.0957583
"Glenn Robinson"	0.0957322
"Derek Harper"	0.0955152
"Walt Williams"	0.0953404
"George McCloud"	0.0951598
"Anfernee Hardaway"	0.0950856
"Elden Campbell"	0.0948663
"Rashard Lewis"	0.0948131
"Vlade Divac"	0.0945003
"A.C. Green"	0.0941604
"Ruben Patterson"	0.0941419
"Jermaine O'Neal"	0.0940465
"Othella Harrington"	0.0934771
"Jason Kidd"	0.0933092
"Clarence Weatherspoon"	0.0930002
"Allan Houston"	0.0929658
"Raef LaFrentz"	0.0928428
"Chris Mills"	0.0925211
"Michael Wright"	0.0924787
"Scottie Pippen"	0.0924564
"Brian Shaw"	0.0924061
"Jerome Kersey"	0.092197
"Corey Maggette"	0.0921772
"Shane Battier"	0.0920521
"Samaki Walker"	0.0919511
"Charlie Ward"	0.0918799
"Steve Kerr"	0.0908335
"Nick Anderson"	0.0902181
"Mark Madsen"	0.0895332
"Theo Fleury"	0.0894902
"Sean Rooks"	0.0891641
"Toni Kukoc"	0.0891601
"Kevin Freeman"	0.0891513
"Jim Jackson"	0.08884
"Jarvis Turner"	0.0881227
"John Salley"	0.0879767
"Vince Carter"	0.0876587
"Billy Owens"	0.0867644
"Kobe Bryant"	0.0867504
"Kendall Gill"	0.0862904
"Detlef Schrempf"	0.0861765
"Antoine Walker"	0.0856933
"Doug Gilmour"	0.0850648
"Kevin Willis"	0.0850575
"Dale Ellis"	0.0848064
"Antonio Davis"	0.0845788
"Stephon Marbury"	0.0844173
"Predrag Mijatovic"	0.0841417
"Derek Fisher"	0.083821
Weatherspoon	0.0834308
"Tim Thomas"	0.0832971
"Trajan Langdon"	0.082909
"Shandon Anderson"	0.0828338
"Larry Hughes"	0.0828093
"Alexei Kovalev"	0.0826719
"Sheryl Swoopes"	0.0823374
"Sherman Douglas"	0.0822296
"Brian McBride"	0.0819226
"Reggie Miller"	0.0818829
"Tyrone Nesby"	0.0816678
"Kenyon Martin"	0.0811456
"Dikembe Mutombo"	0.0809821
"Allen Iverson"	0.080909
"Jeff Friesen"	0.0808226
"Kenny Thomas"	0.0805778
"Kerry Kittles"	0.0803331
"Ante Razov"	0.0793208
"Stern John"	0.0790143
"Etan Thomas"	0.0789236
"Shannon MacMillan"	0.0787904
"Chris Childs"	0.0778813
"Ian Wright"	0.0775826
"Ike Austin"	0.0774109
"Brian Scalabrine"	0.0770726
"Charles Oakley"	0.0770562
"Jason Williams"	0.0769761
"Shaquille O'Neal"	0.0766784
"Brian Skinner"	0.0766047
"Michael Finley"	0.0764277
"Dominique Wilkins"	0.0761944
"Marcus Fizer"	0.0760335
"Antawn Jamison"	0.0759143
"Wendel Clark"	0.0756258
"Rick Tocchet"	0.0754728
"Shawn Marion"	0.0754708
"John Starks"	0.075155
"John Vanbiesbrouck"	0.0749818
"Matthew Barnaby"	0.0748498
"Hakeem Olajuwon"	0.0744101
"Charles Barkley"	0.07433
"Sergei Fedorov"	0.0741596
"Sam Cassell"	0.0738472
"Joe Juneau"	0.0738284
"Pat Garrity"	0.0737549
"Luc Longley"	0.0736623
"Patrick Ewing"	0.0731055
"Khodadad Azizi"	0.0730305
"Kevin Johnson"	0.0729481
"Chris Drury"	0.0727538
"Danny Manning"	0.0726768
"Latrell Sprewell"	0.0726185
"Sam Perkins"	0.0720651
"Jason Terry"	0.0716803
"Hao Haidong"	0.0715731
Daigle	0.071512
"Don Maclean"	0.0714863
"Arvydas Sabonis"	0.0710031
"Raul Gonzalez"	0.0709443
"Morris Peterson"	0.0709378
"Chris Porter"	0.0708465
"Bill Guerin"	0.0707301
"Sean Farnham"	0.0706577
"Chauncey Billups"	0.0704984
"Richard Jefferson"	0.0703904
"Brevin Knight"	0.0700736
"Bryon Russell"	0.0698563
"Brian Skrudland"	0.0697957
"Dana Barros"	0.0697557
"Sean Elliott"	0.0697068
"Karl Malone"	0.0696232
"Cindy Parlow"	0.0695579
))
("Christian Ruud" (desc 1730.32) (sims
"Albert Portas"	0.420403
"Hernan Gumy"	0.389513
"Tatiana Panova"	0.379318
"Anne Kremer"	0.375819
"Sarah Pitkowski"	0.368453
"Andrei Pavel"	0.367223
"Nathalie Dechy"	0.362702
"Adrian Voinea"	0.359768
"Rainer Schuttler"	0.358458
"Judith Wiesner"	0.355921
"Magdalena Maleeva"	0.355619
"Magui Serna"	0.354103
"Silvia Farina"	0.343862
"Ramon Delgado"	0.342246
"Arnaud Di Pasquale"	0.34051
"Jerome Golmard"	0.339653
"Juan Antonio Marin"	0.338459
"Younes El Aynaoui"	0.337904
"Arnaud Boetsch"	0.336773
"Franco Squillari"	0.331477
"Carlos Costa"	0.329786
"Marcelo Filippini"	0.325586
"Richard Fromberg"	0.32536
"Florencia Labat"	0.324789
"Francisco Clavet"	0.318701
"Sjeng Schalken"	0.314765
"Mariano Puerta"	0.313641
"Galo Blanco"	0.310385
"Karim Alami"	0.308244
"Sabine Appelmans"	0.306743
"Renzo Furlan"	0.306415
"Nicolas Escude"	0.306368
"Asa Carlsson"	0.305564
"Barbara Rittner"	0.304877
"Arnaud Clement"	0.303824
"Joannette Kruger"	0.303077
"David Prinosil"	0.300298
"Mariano Zabaleta"	0.297796
"Ruxandra Dragomir"	0.297113
"Alberto Berasategui"	0.296997
"Xavier Malisse"	0.295539
"Catalina Cristea"	0.294989
"Kenneth Carlsen"	0.29476
"Andreas Vinciguerra"	0.293907
"Neville Godwin"	0.293652
"Andrew Ilie"	0.293524
"Mikael Tillstrom"	0.293447
"Marcos Ondruska"	0.291449
"Fabrice Santoro"	0.286143
"Sebastien Grosjean"	0.2837
"Cara Black"	0.283296
"Leander Paes"	0.283043
"Chris Woodruff"	0.281917
"Steve Campbell"	0.280522
"Paola Suarez"	0.279762
"Naoko Sawamatsu"	0.278278
"Nicole Pratt"	0.278151
"Vincent Spadea"	0.277389
"Brett Steven"	0.276692
"Sargis Sargsian"	0.274339
"Elena Dementieva"	0.274105
"Andrea Gaudenzi"	0.27379
"Olga Barabanschikova"	0.271611
"Kim Clijsters"	0.270092
"Fernando Meligeni"	0.27
"Brenda Schultz-McCarthy"	0.269188
"Grant Stafford"	0.269011
Rosenborg	0.268827
"Hicham Arazi"	0.268778
"Filip Dewulf"	0.267705
"Wayne Black"	0.267505
"Amy Frazier"	0.267201
"Javier Sanchez"	0.266577
"Tamarine Tanasugarn"	0.266343
"Yayuk Basuki"	0.26609
"Miriam Oremans"	0.265395
"Julian Alonso"	0.265354
"Slava Dosedel"	0.265145
"Elena Likhovtseva"	0.264507
"Roger Federer"	0.263401
"Barbara Paulus"	0.263227
"Scott Draper"	0.260536
"Sebastien Lareau"	0.259003
"Juan Carlos Ferrero"	0.257472
"Tara Snyder"	0.257323
"Guillaume Raoux"	0.257186
"Els Callens"	0.256687
"Jeff Tarango"	0.256458
"Kveta Hrdlickova"	0.252832
"Mark Knowles"	0.252774
"Barbara Schwartz"	0.251824
"Jason Stoltenberg"	0.251724
"Nicolas Lapentti"	0.250781
"John Van Lottum"	0.249658
"Gianluca Pozzi"	0.2492
"MaliVai Washington"	0.248218
"Andrei Medvedev"	0.247784
"Alexandra Fusai"	0.247781
"Sergi Bruguera"	0.247501
"Dominique Van Roost"	0.247431
"Marc Rosset"	0.247416
"Daniel Nestor"	0.246003
"Rita Grande"	0.245833
"Sandrine Testud"	0.245645
"Magnus Norman"	0.245478
"Paul Haarhuis"	0.244011
"Barbara Schett"	0.243218
"Anne-Gaelle Sidot"	0.241673
"Natasha Zvereva"	0.239677
"Alberto Costa"	0.239111
"Ai Sugiyama"	0.238876
"Jonathan Stark"	0.238543
"Richey Reneberg"	0.237739
"Corina Morariu"	0.237476
"Byron Black"	0.237025
"Magnus Gustafsson"	0.23673
"Michael Tebbutt"	0.236529
"Kristie Boogert"	0.236323
"Karina Habsudova"	0.235857
"Amelie Mauresmo"	0.234552
"Irina Spirlea"	0.234346
"Martin Damm"	0.233662
"Daniel Vacek"	0.231942
"Bohdan Ulihrach"	0.229635
"Bjarte Engen Vik"	0.228571
"Julie Halard-Decugis"	0.227972
"Max Mirnyi"	0.226663
"Felix Mantilla"	0.225642
"Vince Spadea"	0.224381
"Lisa Raymond"	0.22418
"Li Fang"	0.223588
"Davide Sanguinetti"	0.222541
"Tommy Haas"	0.221323
"Marat Safin"	0.220516
"Jan-Michael Gambill"	0.21937
"Adriana Gersi"	0.217668
"Kimberly Po"	0.217525
"Chanda Rubin"	0.217095
"Jonas Bjorkman"	0.217069
"Wayne Arthurs"	0.215958
"Henrieta Nagyova"	0.214529
"Dennis van Scheppingen"	0.214363
"Magnus Larsson"	0.213147
"Todd Woodbridge"	0.212132
"Thomas Johansson"	0.212075
"Rika Hiraki"	0.211713
"Mirjana Lucic"	0.210518
"Patty Schnyder"	0.210276
"Albert Costa"	0.209735
"Michael Stich"	0.209253
"Kimiko Date"	0.208026
"Wayne Ferreira"	0.207788
"Alex O'Brien"	0.207484
"Andres Gomez"	0.207278
"Conchita Martinez"	0.206857
"Justin Gimelstob"	0.206276
"Mahesh Bhupathi"	0.205217
"Denisa Chladkova"	0.204875
"Dominik Hrbaty"	0.20452
"Guy Forget"	0.203682
"Mark Woodforde"	0.202991
"Kjetil Andre Aamodt"	0.200064
Kroslak	0.199955
Siemerink	0.199005
"Jelena Dokic"	0.198502
"Amanda Coetzer"	0.197922
Swardt	0.196398
"Jiri Novak"	0.19618
"Nathalie Tauziat"	0.195425
"Nicolas Kiefer"	0.194123
"Helena Sukova"	0.194018
"Thomas Enqvist"	0.192262
"Anke Huber"	0.190931
"Lasse Kjus"	0.190857
"Paul Goldstein"	0.190137
"Mary Joe Fernandez"	0.190065
"Iva Majoli"	0.1898
"Todd Martin"	0.188437
"Jennifer Capriati"	0.188227
Dragomir	0.187477
"Mark Philippoussis"	0.187129
"Partizan Belgrade"	0.186782
Nacional	0.186759
"Richard Krajicek"	0.185887
"Greg Rusedski"	0.182818
"Tim Henman"	0.1826
"Petr Korda"	0.181789
"Karol Kucera"	0.18097
"Cedric Pioline"	0.176471
"American Todd Martin"	0.171847
"Arantxa Sanchez-Vicario"	0.171105
"Janet Lee"	0.169469
"Alexandra Stevenson"	0.165591
"Carlos Moya"	0.16485
"Gustavo Kuerten"	0.164386
"Arantxa Sanchez Vicario"	0.162412
"Mary Pierce"	0.161435
"Nicklas Kulti"	0.159479
"Michael Chang"	0.158634
"Wang Shi-Ting"	0.158188
"Thomas Muster"	0.15741
"Goran Ivanisevic"	0.156449
"Sandra Kleinova"	0.15473
Independiente	0.154683
"Lori McNeil"	0.154464
"Stefan Edberg"	0.153596
Testud	0.153405
"Yevgeny Kafelnikov"	0.153205
"Alex Corretja"	0.152676
Schalken	0.151891
"Olivier Delaitre"	0.15176
"Rodney Eyles"	0.151514
"American Chanda Rubin"	0.151271
Berasategui	0.15127
"David Rikl"	0.151142
"Marcelo Rios"	0.151056
"Russian Yevgeny Kafelnikov"	0.151023
"Pat Rafter"	0.148804
"Peter Rasmussen"	0.148508
"Gong Ruina"	0.148323
Ulihrach	0.1473
Zamalek	0.147053
"Jim Courier"	0.145274
"Lleyton Hewitt"	0.14335
"Zhang Ning"	0.141974
"Katarina Studenikova"	0.141871
"Peter Nicol"	0.141556
"Serena Williams"	0.141433
"Sandon Stolle"	0.141429
"Jean-Philippe Gatien"	0.14033
"Fung Permadi"	0.140281
Stoltenberg	0.139646
"Anna Kournikova"	0.138873
Habsudova	0.138712
Prinosil	0.138349
Olimpia	0.136144
"Gong Zhichao"	0.136113
"Australian Mark Philippoussis"	0.13595
"Mats Wilander"	0.135837
Bruguera	0.134588
Halard-Decugis	0.134473
"Jacco Eltingh"	0.133471
"Olympique Marseille"	0.13301
Raoux	0.131384
Sanchez-Vicario	0.131259
"Spartak Moscow"	0.13119
Dosedel	0.130963
Mauresmo	0.130377
"Olympiakos Piraeus"	0.129262
"Colo Colo"	0.129261
"Jana Novotna"	0.128238
"Martin Lee"	0.128176
Kucera	0.128016
"Slavia Prague"	0.127933
Anderlecht	0.127861
Gremio	0.127806
"Dai Yun"	0.127284
"Patrick Rafter"	0.126799
"Vladimir Samsonov"	0.126774
"Diego Nargiso"	0.126487
"Le Defi Francais"	0.126433
Kuerten	0.126112
"Phenix City"	0.126045
"Velez Sarsfield"	0.125287
Enqvist	0.124783
"Ji Xinpeng"	0.123932
"Li Ju"	0.12323
"VfB Stuttgart"	0.123184
"Boca Juniors"	0.12311
"Camilla Martin"	0.123035
"Monica Seles"	0.12185
"River Plate"	0.120934
Panathinaikos	0.120847
Spadea	0.119948
"American Michael Chang"	0.119833
Santoro	0.119623
Damm	0.119378
"Chen Jing"	0.119349
"Wang Chen"	0.118021
Brondby	0.1166
"Slovak Republic"	0.11571
"Ma Lin"	0.115498
Edberg	0.115219
"Athletic Bilbao"	0.114946
"Budi Santoso"	0.114941
"American Lindsay Davenport"	0.114655
Starzz	0.114411
"Xia Xuanze"	0.11436
Schett	0.114339
Likhovtseva	0.114149
"Werder Bremen"	0.11399
Krajicek	0.113101
Penarol	0.113038
Palmeiras	0.112782
Hrbaty	0.112643
Tarango	0.112369
"AEK Athens"	0.112037
"Paul Johnson"	0.111905
Besiktas	0.110765
Haarhuis	0.110755
"Boris Becker"	0.11071
Corretja	0.110275
Bjorkman	0.110266
"Jimmy Connors"	0.110221
"Martina Hingis"	0.110072
"Guangdong Hongyuan"	0.109912
"Ong Ewe Hock"	0.109795
Puerta	0.109649
Sidot	0.10929
Pioline	0.109233
"Yang Ying"	0.108494
"Joko Suprianto"	0.108451
"DON JOHNSON"	0.108155
"Sturm Graz"	0.107925
"American Andre Agassi"	0.107817
Coetzer	0.107643
"Steffi Graf"	0.107315
Trondheim	0.107308
Clavet	0.107154
"Bradford City"	0.106669
Cruzeiro	0.106296
Lapentti	0.106091
Benfica	0.105963
"Old Dominion"	0.105842
"Lindsay Davenport"	0.105657
Rusedski	0.105567
Sugiyama	0.10556
"Mia Audina"	0.105413
Auxerre	0.105152
"Kinder Bologna"	0.105098
Statoil	0.104826
"Larisa Neiland"	0.104674
Larsson	0.104537
"Celta Vigo"	0.103909
"Venus Williams"	0.103614
"Simon Archer"	0.10295
"Fighting Irish"	0.10278
"Guangzhou Apollo"	0.102751
Hawkeyes	0.102526
"South African Amanda Coetzer"	0.102395
"Jorgen Persson"	0.10228
"American Pete Sampras"	0.100343
"Ye Zhaoying"	0.100296
"Scarlet Knights"	0.100268
Schnyder	0.10016
))
("Christian Slater" (desc 1393.96) (sims
"Richard Gere"	0.112138
"Jamie Foxx"	0.106354
"Ben Stiller"	0.1057
"Laurence Fishburne"	0.0996041
"Dennis Quaid"	0.0988067
"Matt Damon"	0.0968043
"James Woods"	0.0965008
"William H. Macy"	0.0959192
"Tom Selleck"	0.0958694
"Richard Dreyfuss"	0.0952069
"Jon Voight"	0.0951535
"Bill Murray"	0.091749
"William Shatner"	0.0907119
"Martin Sheen"	0.0898927
"Leonardo DiCaprio"	0.0894786
"Jeff Bridges"	0.0880226
"Robert DeNiro"	0.0875768
"Sean Penn"	0.0871347
"Christopher Reeve"	0.086068
"Gabriel Byrne"	0.0855674
"Tommy Lee Jones"	0.0851246
"Michael J. Fox"	0.0841076
"Johnny Depp"	0.0839587
"Kevin Bacon"	0.0826681
"Matthew Broderick"	0.0818469
"Melanie Griffith"	0.0815466
"Glenn Close"	0.0812084
"Jack Lemmon"	0.0810738
Grammer	0.0799398
"Kenneth Branagh"	0.0796256
"Jodie Foster"	0.0795621
"John Cusack"	0.0794545
"Joe Mantegna"	0.0793043
"Sigourney Weaver"	0.0791692
"John Malkovich"	0.0786176
"Patrick Stewart"	0.0782972
"Frances McDormand"	0.0782058
"Cuba Gooding Jr."	0.0780503
"Woody Harrelson"	0.0760727
"Andie MacDowell"	0.0758088
"Rob Lowe"	0.0755787
"Brad Pitt"	0.0745112
"Gene Hackman"	0.0741073
"Drew Barrymore"	0.0740166
"Tim Robbins"	0.0740083
"Mark Wahlberg"	0.073421
"Uma Thurman"	0.0729024
"Edward Furlong"	0.0728151
"Antonio Banderas"	0.0724989
"Kelsey Grammer"	0.0722679
"Chevy Chase"	0.0721007
"Burt Reynolds"	0.0714591
"Billy Bob Thornton"	0.0711906
"George Clooney"	0.0706982
"Gregory Peck"	0.0701564
"Dennis Hopper"	0.0697053
"Charlton Heston"	0.0696011
"Sean Connery"	0.069018
"Clint Eastwood"	0.068328
"Catherine Keener"	0.0683155
"Brian Dennehy"	0.0675761
"Anne Bancroft"	0.0673438
"Jude Law"	0.0671249
"John Goodman"	0.0671196
"Cameron Diaz"	0.0662436
"Brooke Shields"	0.0662257
"AL PACINO"	0.0661617
"Marlon Brando"	0.065919
"Hugh Grant"	0.0654107
"Jimmy Smits"	0.0651242
"Matthew McConaughey"	0.0651175
"Robin Williams"	0.0649476
"Ben Affleck"	0.0642224
"Geoffrey Rush"	0.0641783
"Kevin Spacey"	0.0641503
"Stephen Rea"	0.063115
"Edward Norton"	0.06311
"Denzel Washington"	0.0628984
"Nick Nolte"	0.0624104
"Paul Newman"	0.0620268
"Michael Caine"	0.0618052
"Robert Downey Jr."	0.0610859
"Stanley Tucci"	0.0607692
"Charlize Theron"	0.0603264
"Alfre Woodard"	0.0596803
"Reese Witherspoon"	0.0590714
"Danny Glover"	0.0589959
"Russell Crowe"	0.0589033
Branagh	0.0583368
"Sandra Bullock"	0.0578748
"Rupert Everett"	0.0577817
"Matt Dillon"	0.0574873
"Chloe Sevigny"	0.0574794
"Calista Flockhart"	0.0574619
"Alec Baldwin"	0.0573722
"Jay Mohr"	0.0569049
"Susan Sarandon"	0.0568229
"Holly Hunter"	0.0567395
"Michael Douglas"	0.056704
Jolie	0.0566186
Cleese	0.0565885
Blanchett	0.0559295
DiCaprio	0.0553836
"Kevin Kline"	0.0551885
"Liam Neeson"	0.054666
"Roberto Benigni"	0.0539631
"Robert Duvall"	0.0538315
"Kirsten Dunst"	0.0537782
"Jessica Lange"	0.0537774
"Spencer Tracy"	0.0537476
"Michelle Pfeiffer"	0.0536802
"David Duchovny"	0.0534036
"Warren Beatty"	0.0529711
"John Travolta"	0.0528621
"Elizabeth Hurley"	0.0528072
"Omar Epps"	0.052417
"Bernadette Peters"	0.0518956
"Robert Redford"	0.051499
"James Stewart"	0.0510426
GERE	0.0509824
"Kevin Costner"	0.0506017
"Oliver Platt"	0.0501778
"partner in crime"	0.0497122
"Liv Tyler"	0.0495888
"Graham Greene"	0.0495179
BANDERAS	0.0493502
"Michael Murphy"	0.0492313
"Geena Davis"	0.0491117
"Bruce Willis"	0.0490685
"Lily Tomlin"	0.0489344
"Arnold Schwarzenegger"	0.0488328
"David Arquette"	0.0486876
Sheedy	0.04816
"Tobey Maguire"	0.0480057
"Robert de Niro"	0.0479692
"Sylvester Stallone"	0.047619
Epps	0.0469374
"Harrison Ford"	0.0466776
"Ellen Burstyn"	0.0462096
"Meg Ryan"	0.0461054
"Dustin Hoffman"	0.0458946
"Heather Graham"	0.045748
Zack	0.0456885
"James Coburn"	0.045284
"Catherine Deneuve"	0.0452699
"Steve Martin"	0.0450882
"Bridget Fonda"	0.0450827
"Angelina Jolie"	0.0437659
"Thandie Newton"	0.0435148
"Joseph Fiennes"	0.0434301
"Jeff Daniels"	0.0433866
"Samuel L. Jackson"	0.0432732
"Halle Berry"	0.0432372
"John Leguizamo"	0.0431431
"True Thing"	0.0429835
"Kate Moss"	0.0428706
"Ed Harris"	0.0426695
"Kate Winslet"	0.0426592
Lafleur	0.0424665
"Sissy Spacek"	0.0422337
"Gwyneth Paltrow"	0.0422336
"Tyra Banks"	0.0417026
"Sidney Poitier"	0.0414523
"Christopher Walken"	0.0409297
"Sarah Jessica Parker"	0.0408543
"Jenna Elfman"	0.0407793
"Lisa Kudrow"	0.040746
))
("Christian Social Union" (desc 2668.45) (sims
"Free Democratic Party"	0.218612
"Christian Democratic Union"	0.203492
"National Religious Party"	0.189523
"Free Democrats"	0.184915
CDU	0.180119
"Freedom Union"	0.180054
"National League for Democracy"	0.169222
"Nepali Congress"	0.165971
"United Liberal Democrats"	0.163969
"Social Democratic Party"	0.160721
"Christian Democrats"	0.152402
"Social Democrats"	0.145548
"Cambodian People's Party"	0.14511
"United National Independence Party"	0.139843
"Bharatiya Janata Party"	0.137186
"United Democratic Movement"	0.136458
"Canadian Alliance"	0.133883
"Democrat Party"	0.132837
Meretz	0.132136
"United Malays National Organization"	0.131306
"Center Party"	0.129796
Yabloko	0.129514
"Civic Democratic Party"	0.127205
"Democratic Left"	0.126053
"Zimbabwe African National Union-Patriotic Front"	0.124972
"Pakistan Muslim League"	0.124463
"Awami League"	0.121272
"Serbian Renewal Movement"	0.120035
"National Party"	0.118965
SPD	0.118581
"Rwandan Patriotic Front"	0.117877
"Liberal Democratic Party"	0.117043
"New Aspiration Party"	0.116997
"People's Party"	0.116805
"Inkatha Freedom Party"	0.116488
FRELIMO	0.116197
Jamaat-e-Islami	0.114707
"Indonesian Democratic Party"	0.111139
"Socialist Party"	0.110711
"Bangladesh Nationalist Party"	0.110029
"Croatian Democratic Union"	0.109792
"Islamic Salvation Front"	0.10926
"National Front"	0.109217
CSU	0.108935
Lakas-NUCD	0.107558
"National Democratic Party"	0.107479
"Institutional Revolutionary Party"	0.107069
"Sam Rainsy Party"	0.106314
"Kenya African National Union"	0.104559
CCM	0.104239
"Ulster Unionist Party"	0.104205
"Congress Party"	0.103108
FUNCINPEC	0.102923
"Democratic Action"	0.102497
"Liberal Democrats"	0.102245
CPN-UML	0.102084
"National Resistance Movement"	0.101911
"Likud Party"	0.10103
"Liberal Party"	0.100779
"African National Congress"	0.0986046
LDP	0.0977871
"Democratic Progressive Party"	0.0977626
"Christian Democratic Party"	0.0968554
"National Action"	0.0967548
SDP	0.0964454
PASOK	0.0963826
"National Action Party"	0.0955607
"Nationalist Party"	0.0953316
BJP	0.0951239
"New Korea Party"	0.0950646
"Serbian Radical Party"	0.0946978
Golkar	0.0933279
"Colorado Party"	0.0929896
"People's Democratic Party"	0.0929731
"Russian Communist Party"	0.0924018
"National Alliance"	0.0918834
"Ulster Unionists"	0.0917066
"United National Party"	0.0916616
Awami	0.0909837
Likud	0.0897089
CPP	0.0892045
"Conservative Party"	0.0888023
"National Democratic Alliance"	0.0887865
Shas	0.088727
"Janata Dal"	0.0885193
"Nahdlatul Ulama"	0.0866812
"World Jewish Congress"	0.0860604
"Shas Party"	0.0840427
Zanu-pf	0.083906
"Labor Party"	0.0829176
Renamo	0.0820931
"Justice Party"	0.080995
"Radical Party"	0.0791221
"Herri Batasuna"	0.078399
"Barisan Nasional"	0.078284
"Social Democratic"	0.0769091
ZANU	0.0767753
"Popular Party"	0.0766727
PML	0.0766296
"National Liberation Front"	0.0766238
"Chart Pattana"	0.0765831
"Cuban American National Foundation"	0.0762713
"Third Way"	0.0762183
"South Lebanese Army"	0.075849
NSC	0.0758408
"Muslim Brotherhood"	0.0740112
"Democratic Revolution Party"	0.0738816
"Liberation Movement"	0.0737787
"Democratic Unionist Party"	0.0734783
"Southern Democrats"	0.0731529
"Vietnamese Communist Party"	0.0728348
"National Council of Churches"	0.0724821
"National Awakening Party"	0.072377
MPLA	0.0717468
"Grand National Party"	0.0715449
"Inter-Parliamentary Union"	0.0715275
"Revolutionary Party"	0.0712884
socialist	0.0711685
"Patriotic Union of Kurdistan"	0.0709607
"Baath Party"	0.0709426
"Green Party"	0.0708864
Lakas	0.0705072
RPP	0.0705004
"Motherland Party"	0.0703376
PDI-P	0.0700006
"Chinese Olympic Committee"	0.0698802
"Islamic Movement"	0.0695858
"Sam Rainsy"	0.0691864
NP	0.069009
"European Bank for Reconstruction"	0.0685577
"Welfare Party"	0.0684764
"House Budget Committee"	0.0683977
"Congressional Black Caucus"	0.0683439
"Democratic Left Party"	0.0682667
BNP	0.068262
"Nikola Poplasen"	0.0678705
"Union of Right Forces"	0.0671301
"New Democracy"	0.0669707
DSP	0.0666846
"Virtue Party"	0.0665305
"National Republican Congressional Committee"	0.0662865
"State Peace and Development Council"	0.0656552
"U.S. Soccer Federation"	0.0653104
"Family Research Council"	0.0647992
"Aryeh Deri"	0.0647732
"Social Democrat"	0.0647118
"Meretz Party"	0.0644979
MQM	0.0644948
UNIP	0.0644349
RPR	0.0643414
"Revolutionary United Front"	0.0642497
"Olympic Committee"	0.0640463
"Senate Budget Committee"	0.0638389
"China Society"	0.0636205
"Sinn Fein"	0.0635517
"Liberation Front"	0.0633971
"National Union for Total Independence"	0.0632779
center-right	0.0630882
NC	0.0628442
"National Union"	0.0627379
"Democratic Alliance"	0.0625941
"House International Relations Committee"	0.062528
"United Development Party"	0.0623592
"Pan Africanist Congress"	0.0620429
"South African Communist Party"	0.0618487
"South Lebanon Army"	0.0618065
"Asian Football Confederation"	0.0617888
"Rules Committee"	0.0616291
"Democratic Front"	0.0615296
"China Youth Development Foundation"	0.0613914
"Lesotho Congress"	0.0613312
Lindner	0.0611194
ANAP	0.0608379
"popular front"	0.0607779
"Golkar Party"	0.0605821
"Kosovo Verification Mission"	0.0604575
"True Path Party"	0.0604485
PRD	0.0603431
"Democratic Senatorial Campaign Committee"	0.0603335
"Freedom Party"	0.0598222
PML-N	0.0598192
PDP	0.0595898
"United Front"	0.0595489
NLD	0.0593597
left-winger	0.0593531
NKP	0.0591301
"South Pacific Forum"	0.0590809
"People's Alliance"	0.0590247
"International Society"	0.0590101
"paramilitary organization"	0.0589872
"Organization of Islamic Conference"	0.0588698
"Council of Economic Advisers"	0.0584756
"World Meteorological Organization"	0.058276
PCF	0.0582059
"Freedom Front"	0.0581568
"Jatiya Party"	0.0580878
ANC	0.0580587
"Australian Olympic Committee"	0.0578961
PDI	0.0577697
Fatah	0.0576489
))
("Christian Vieri" (desc 6021.49) (sims
"Alessandro Del Piero"	0.274132
"Ivan Zamorano"	0.2133
"Gianluca Vialli"	0.210498
"Roberto Baggio"	0.205926
"Enrico Chiesa"	0.197682
"Filippo Inzaghi"	0.184862
"Pierluigi Casiraghi"	0.183401
"Youri Djorkaeff"	0.178321
Ronaldo	0.163878
"Gianfranco Zola"	0.163578
"Alen Boksic"	0.159783
"Marcelo Salas"	0.154747
"Claudio Lopez"	0.154732
"Davor Suker"	0.154299
"Ariel Ortega"	0.150414
"Fabrizio Ravanelli"	0.138329
"Gabriel Batistuta"	0.136109
"George Weah"	0.135807
"Zinedine Zidane"	0.135164
"Hao Haidong"	0.134456
"David Trezeguet"	0.134037
Piero	0.132213
"Dejan Stankovic"	0.12938
Romario	0.129142
"Hernan Crespo"	0.128922
"Alan Shearer"	0.128662
"Predrag Mijatovic"	0.127355
"Thierry Henry"	0.126395
"Hristo Stoichkov"	0.125037
Djorkaeff	0.123183
"Ian Wright"	0.122853
"Dino Baggio"	0.119728
"Christophe Dugarry"	0.119188
"Sun Wen"	0.118896
"Ante Razov"	0.116691
Edmundo	0.11647
"Michael Owen"	0.116215
"Patrick Kluivert"	0.116075
"Dennis Bergkamp"	0.113408
"Phillip Cocu"	0.113334
"Robbie Fowler"	0.113107
"Ali Daei"	0.112393
"Renzo Furlan"	0.110845
"Adrian Ilie"	0.110629
"Del Piero"	0.109889
Vieri	0.10966
"Raul Gonzalez"	0.109328
"Harry Kewell"	0.108192
"Nicolas Anelka"	0.107737
"Faustino Asprilla"	0.106611
"Brian Laudrup"	0.106127
"Juergen Klinsmann"	0.104525
"Paolo Di Canio"	0.104352
"Oliver Bierhoff"	0.103537
"Max Biaggi"	0.101376
"Tore Andre Flo"	0.100909
"Kenyon Martin"	0.100817
"Stern John"	0.0993377
"Ulf Kirsten"	0.0991835
"Luis Hernandez"	0.0986521
"Nwankwo Kanu"	0.0970937
Suker	0.0965009
"Dejan Savicevic"	0.0963398
"Khodadad Azizi"	0.0947236
"Raul Diaz Arce"	0.0941059
"Hu Weidong"	0.0930253
"Alberto Tomba"	0.092741
"Fiona May"	0.0926379
"Chris Porter"	0.0914148
Bebeto	0.0908317
Juninho	0.0895287
Batistuta	0.0882046
"Emmanuel Petit"	0.0880419
"Hidetoshi Nakata"	0.0873694
"Gheorghe Hagi"	0.0871433
"Stan Collymore"	0.0869157
"Eric Wynalda"	0.0863683
"Eric Cantona"	0.0852733
"Gianluca Pagliuca"	0.085199
"Renato Ruggiero"	0.0836241
"Carlos Hermosillo"	0.0834597
"Dwight Yorke"	0.0823122
"Brian McBride"	0.0822653
"Sam Clancy"	0.0808043
"Prada Challenge"	0.0806827
"Mario Cipollini"	0.0802038
"David Beckham"	0.0791893
"Miroslav Satan"	0.0789568
"Ziggy Palffy"	0.0787297
Baggio	0.0777815
"Robert Prosinecki"	0.0777538
Internazionale	0.077697
"Deborah Compagnoni"	0.0773412
"Mia Hamm"	0.0771538
"Pavol Demitra"	0.0763876
"Roy Lassiter"	0.0761101
Welton	0.076022
"DeLisha Milton"	0.0756764
"Bill Guerin"	0.0755664
"Michele Bartoli"	0.0753588
Vialli	0.0749485
Bergkamp	0.0748629
"Cindy Parlow"	0.0748576
"Andrea Gaudenzi"	0.0742315
"Tony Amonte"	0.0738448
"Jarvis Turner"	0.0735836
"Kris Clack"	0.0734787
"Angelo Peruzzi"	0.0728518
Rivaldo	0.0723554
"Lilian Thuram"	0.0722047
"Fan Zhiyi"	0.0713664
"Sinisa Mihajlovic"	0.0705735
"Isolde Kostner"	0.0702594
"Teddy Sheringham"	0.0700409
"Toni Kukoc"	0.0698377
"Cobi Jones"	0.069837
"Ron Artest"	0.0698119
"Alan Henderson"	0.0696994
"Didier Deschamps"	0.0696677
"Richard Hamilton"	0.0695374
"Marco Pantani"	0.0687579
"Jason Allison"	0.0684592
"Cesar Sampaio"	0.0683296
"Steve McManaman"	0.0679727
"Donyell Marshall"	0.0677881
"Mike Miller"	0.0674946
"Silvia Farina"	0.0668669
"Todd Harvey"	0.066518
Salas	0.0662535
Anelka	0.0661754
"Edgar Davids"	0.0661704
"Bobby Charlton"	0.0661169
"Antawn Jamison"	0.0657406
"Grant Long"	0.0656903
"Tamika Catchings"	0.0656628
"Keith Van Horn"	0.0650508
"Jere Lehtinen"	0.0649225
"Gianluca Pozzi"	0.0648121
"Greg Adams"	0.0644618
"Luc Robitaille"	0.0641995
Zidane	0.0641964
"Chamique Holdsclaw"	0.0639064
"Michelle Akers"	0.063473
"Andy Cole"	0.0634394
striker	0.0633584
"Alexei Kovalev"	0.0632034
"Diego Simeone"	0.0631224
"Tiffeny Milbrett"	0.0630649
"Joe Nieuwendyk"	0.0629166
"Joe-Max Moore"	0.0628691
"Peter Forsberg"	0.0624104
"Jeremy Roenick"	0.0623645
"Diego Maradona"	0.0617734
Recchi	0.0616999
"Corliss Williamson"	0.0616983
"Robert Pires"	0.0616373
"Eric Lindros"	0.0615884
"Ole Gunnar Solskjaer"	0.0615711
Fiorentina	0.0615285
"Sergei Fedorov"	0.061456
"Brandi Chastain"	0.0614173
"Jumaine Jones"	0.0614021
"Brian Scalabrine"	0.0608546
"Fabien Barthez"	0.0605414
Reichel	0.0605292
"Doug Weight"	0.0604292
"Rashard Lewis"	0.0602672
"Jaromir Jagr"	0.0601152
"Rebecca Lobo"	0.0600239
"Brian Skinner"	0.0599144
"Mario Stanic"	0.0598974
"Robert Jarni"	0.0598006
"Zvonimir Boban"	0.0593586
"Maurice Taylor"	0.059312
Zico	0.0592321
"Kristine Lilly"	0.0592076
"Theo Fleury"	0.0590786
"Raef LaFrentz"	0.0588701
"Cliff Ronning"	0.0588524
Agip	0.0587629
"Chris Crawford"	0.0586728
Juventus	0.0586258
"Luigi Di Biagio"	0.0585318
"Gabe Muoneke"	0.058523
"Pavel Bure"	0.0584735
"Charles Oakley"	0.0581041
"Sheryl Swoopes"	0.0580917
"Kevin Freeman"	0.0578779
"Wendel Clark"	0.0577784
"Francesco Casagrande"	0.0577566
"Lamond Murray"	0.0573849
"Morris Peterson"	0.0572964
Parma	0.057256
"Tim Duncan"	0.057154
midfielder	0.0570419
"Gary Trent"	0.0570403
Denilson	0.056612
"Clarence Weatherspoon"	0.0564596
"Grant Hill"	0.0564002
"Ruud Gullit"	0.0563427
))
("Christiane Amanpour" (desc 1942.76) (sims
"Peter Arnett"	0.274892
"Shao Yunhuan"	0.221515
"Andrei Babitsky"	0.21033
"Late Edition"	0.151589
"Sam Donaldson"	0.14965
"Mike Wallace"	0.148552
"Bernard Shaw"	0.135474
"Jack Smith"	0.129957
"Larry King"	0.126653
"Connie Chung"	0.118188
"Cokie Roberts"	0.11061
Moneyline	0.0986575
"April Oliver"	0.0982458
"Bill Moyers"	0.0969427
"Diane Sawyer"	0.0872256
"Bob Woodward"	0.0835187
"Jim Gray"	0.0834212
"Mike Williams"	0.0788695
"Lou Dobbs"	0.0746859
"Tom Kelly"	0.0741055
"David Halberstam"	0.0725074
Arnett	0.0723623
retraction	0.0694369
"Keith Olbermann"	0.0643077
"Ted Koppel"	0.0618669
"Tom Johnson"	0.0617491
"Barbara Walters"	0.0595113
"Fox News"	0.058856
Nickerson	0.0584618
"Robert F. Kennedy Jr."	0.0583306
"Anthony Lewis"	0.0578113
"Katie Couric"	0.0560212
"Entertainment Weekly"	0.054743
"Mumia Abu-Jamal"	0.0543236
Sawyer	0.0534713
"Washington Times"	0.0516555
"William Safire"	0.0516037
Philbin	0.0515887
"Heather Locklear"	0.0513047
Babitsky	0.0496298
"business editor"	0.047326
"Larry King Live"	0.047104
CBC	0.0470643
Shao	0.0467273
Morgenthau	0.0459995
"English Football Association"	0.0458579
Shara	0.0453345
"Parker Bowles"	0.0449041
GUMBEL	0.0440015
"Jose Ramos-Horta"	0.0439014
Duran	0.0438297
Koehler	0.043561
Trevi	0.0432104
Ruehe	0.0430685
"Dateline NBC"	0.0423968
"U.S. News"	0.0422455
"Kathie Lee"	0.0421346
Moratinos	0.0418303
"Matt Lauer"	0.0413039
"Fox News Channel"	0.0411175
"A.M. Rosenthal"	0.0409526
"Paul Krugman"	0.0409458
toxicologist	0.0409458
"Geraldo Rivera"	0.0404084
Kagalovsky	0.0402268
"Dan Rather"	0.0401377
))
(Christianity (desc 23271.5) (sims
Islam	0.206754
Judaism	0.201102
Buddhism	0.191301
Catholicism	0.174527
Protestantism	0.157464
Hinduism	0.147356
Taoism	0.134822
religion	0.121968
"Roman Catholicism"	0.100037
faith	0.0981575
Zionism	0.0962488
Confucianism	0.0927858
democracy	0.0907685
culture	0.088288
Marxism	0.0874754
nationalism	0.0858142
orthodoxy	0.0853064
feminism	0.0836801
witchcraft	0.0829246
Capitalism	0.0787248
civilization	0.0785431
Qigong	0.0775935
communism	0.0752949
theology	0.0747621
"Tibetan Buddhism"	0.0736708
philosophy	0.0736025
"Christian church"	0.0721976
conservatism	0.0691957
Wicca	0.0681277
ideology	0.0680785
science	0.0680357
nonviolence	0.0673918
tradition	0.0671958
"Roman Catholic Church"	0.0670693
Christ	0.0669536
"Catholic Church"	0.0656634
morality	0.0650472
liberalism	0.0648674
"religious belief"	0.0648559
doctrine	0.0637665
activism	0.0637368
fundamentalism	0.0634419
Republicanism	0.063008
modernism	0.0629934
politics	0.0623187
spirituality	0.0620984
secularism	0.0619948
society	0.0618081
Journalism	0.0617796
christian	0.0612373
multiculturalism	0.06121
psychoanalysis	0.0609659
teaching	0.0609232
church	0.060408
belief	0.0594815
sect	0.0590752
humanity	0.0589041
patriotism	0.0589038
ethic	0.0581048
creationism	0.0580363
heritage	0.0580022
ideal	0.0576904
freedom	0.0574132
literature	0.0574075
socialism	0.0573866
"rule of law"	0.0568274
cult	0.0564049
"Jesus Christ"	0.0562578
economics	0.0559351
denomination	0.0557416
hip-hop	0.055672
evolution	0.0555742
pluralism	0.0555616
Scripture	0.0554602
art	0.0553957
gospel	0.0552725
"country music"	0.0551487
e-commerce	0.0545658
"human race"	0.0542429
entrepreneurship	0.0538777
architecture	0.0538662
computing	0.0537135
tolerance	0.0536053
philanthropy	0.0532487
God	0.0532113
"Falun Gong"	0.0527081
segregation	0.0526335
federalism	0.0523696
homosexuality	0.0522891
slavery	0.0521958
Jesus	0.0521772
Confucius	0.0520816
"martial art"	0.0520347
anti-Semitism	0.0517315
astronomy	0.0515463
racism	0.0514137
lifestyles	0.0512946
"computer technology"	0.051284
yoga	0.0512565
concept	0.0509991
abstinence	0.0509687
Bible	0.0508834
superstition	0.0507683
revolution	0.0507508
Jazz	0.0506328
atheism	0.0506179
"popular music"	0.0505887
principle	0.0503404
Protestant	0.0503179
"Homo sapiens"	0.0502825
separatism	0.0501512
globalization	0.0500945
"American Dream"	0.0500467
papacy	0.0499516
diversity	0.0498101
Jewish	0.0496709
consumerism	0.049634
peace	0.0494922
Mormon	0.049482
"free trade"	0.0491786
reality	0.0491057
"market economy"	0.0490385
commerce	0.0490215
Muslim	0.0488856
individualism	0.0487881
identity	0.0483077
"Republican Party"	0.0482839
radicalism	0.048122
"freedom of religion"	0.0480097
sexuality	0.0479832
compassion	0.0479622
"First Amendment"	0.0476807
unity	0.0476626
protectionism	0.0474207
"show business"	0.0473514
teachings	0.0471376
theory	0.0470586
hatred	0.0469804
"foreign policy"	0.0469398
extremism	0.0468899
"labor movement"	0.0468275
diplomacy	0.046582
cinema	0.0464761
farming	0.0464133
"rock 'n' roll"	0.0463568
governance	0.0462858
biology	0.0462827
Buddhist	0.0462146
gardening	0.0458704
"free enterprise"	0.0456294
"New China"	0.0454368
spirit	0.0452933
"reform movement"	0.0452703
"musical theater"	0.0450729
mathematics	0.0449493
isolationism	0.0449124
dignity	0.0447706
Jew	0.0447048
epidemic	0.0446766
mysticism	0.0446448
"economic policy"	0.0445688
agriculture	0.0445267
"computer industry"	0.0443752
humankind	0.0443678
moderation	0.0443125
"modern world"	0.0443043
Moslem	0.0442801
poetry	0.0441932
boxing	0.0441667
"human rights"	0.044118
xenophobia	0.044103
"life style"	0.0440503
psychotherapy	0.0439071
"film industry"	0.0438457
healing	0.0438166
multi-polarization	0.0437446
"political system"	0.0436697
renaissance	0.0435999
opera	0.0434785
"legal system"	0.0434419
"economic system"	0.04336
profession	0.0432754
mankind	0.0432418
"organized crime"	0.0432078
notion	0.043207
"Ten Commandments"	0.0431996
environmentalism	0.0431845
"pop music"	0.0431089
jurisprudence	0.0430455
"medical science"	0.042971
Universe	0.0428325
mythology	0.0426765
publishing	0.0426459
holocaust	0.0424408
"human right"	0.0424343
medicine	0.0422545
sanctity	0.042232
gambling	0.0421961
"status quo"	0.0421118
frugality	0.0420155
))
(Christie (desc 4510.03) (sims
"Linford Christie"	0.137397
Ottey	0.136776
Jayasinghe	0.134255
Baumann	0.13329
Sotomayor	0.132636
Boldon	0.1261
Slaney	0.122411
Devers	0.120782
Fredericks	0.117738
Pippig	0.111962
Eileen	0.10698
"Randy Barnes"	0.102679
Godina	0.0895363
"Svetlana Masterkova"	0.0879664
Dragila	0.0865136
Sautin	0.0850786
"Brooke Bennett"	0.0846531
Roba	0.0843588
Klim	0.0832175
Korda	0.0829562
Seizinger	0.081839
Ruehe	0.0815336
Tanui	0.0809475
"El Guerrouj"	0.0802753
"Charles Austin"	0.0786165
Venables	0.0779603
"Frankie Fredericks"	0.0774757
"Elena Berezhnaya"	0.0770329
"Dennis Mitchell"	0.0770043
Stephanie	0.0769685
Milutinovic	0.0769503
Maradona	0.0765627
Butyrskaya	0.0764049
Popov	0.0759204
"Merlene Ottey"	0.0758954
Surin	0.0758611
Rossotti	0.0756833
Passarella	0.0755381
Hiddink	0.0752458
Kjus	0.0751053
Gebrselassie	0.0745831
Susan	0.0744262
Tomba	0.0740942
"Donovan Bailey"	0.0738399
Serena	0.0736631
Pantani	0.0736094
Danielle	0.0731203
Meredith	0.0727957
"Fatuma Roba"	0.072378
Kipketer	0.0723702
Jennifer	0.0721939
Perec	0.0718795
Meg	0.0717896
Kaunda	0.0714947
Caroline	0.0714754
"Bora Milutinovic"	0.0712095
Patricia	0.0711051
"Cathy Freeman"	0.07086
"Regina Jacobs"	0.0708336
Kristin	0.0707235
Waltrip	0.0701176
Wanda	0.0700938
Wiggins	0.0697127
Michelle	0.0695948
Elena	0.0695067
"Allen Johnson"	0.0691573
alicia	0.06897
"Maurice Greene"	0.0686877
Advani	0.0686481
Guthridge	0.0685802
"Alexei Urmanov"	0.0682202
Irina	0.0681308
Solis	0.0679089
Jessica	0.0677887
Antley	0.067696
Bierhoff	0.0676735
Coulthard	0.0676321
Stacy	0.0676258
"Penny Heyns"	0.0674498
Aventajado	0.0674347
"Deborah Compagnoni"	0.0673298
Xiong	0.067253
Joyner-Kersee	0.0671632
"Earnhardt Jr."	0.066896
Greene	0.0667013
"Jackie Joyner-Kersee"	0.0666033
Karenna	0.0665945
"Li Jiajun"	0.0665181
Morrison	0.066303
McRae	0.0662765
Kathy	0.0661125
Julie	0.0658864
Ince	0.0658337
Whitaker	0.0657899
Khannouchi	0.0656727
Tracy	0.0656528
Karpov	0.0656495
Goetschl	0.0655871
Okada	0.0655796
Rongen	0.0653061
Zanardi	0.0651367
Christine	0.0651136
"Jearl Miles-Clark"	0.0650232
Szabo	0.0650188
Teresa	0.0648956
"Kieren Perkins"	0.0648689
Harmoko	0.0647305
Robson	0.0646352
Klinsmann	0.0646133
Atler	0.064497
Dorothy	0.0641228
Irvan	0.064103
"Dominique Moceanu"	0.0639497
Kwan	0.063948
"Fu Mingxia"	0.0638948
Faldo	0.0635761
Natalie	0.063516
Rosset	0.0635065
"Liu Limin"	0.0635064
Villeneuve	0.0631503
Robin	0.0630908
Boardman	0.0629807
"Carl Lewis"	0.0629783
Shannon	0.0628458
Vasile	0.0628033
Woodson	0.0626645
Drummond	0.0626043
Eastwood	0.0625897
Melanie	0.0625818
Katsav	0.0625812
"Alexei Yagudin"	0.0625083
Maier	0.0623449
Carolyn	0.0621446
Kelly	0.0619827
"Griffith Joyner"	0.0619628
Dolan	0.06191
Wendy	0.0616791
Adkins	0.0616364
Doohan	0.0616345
Ashley	0.0616011
Jamie	0.0614607
Leslie	0.0613767
"Doug Walker"	0.0613583
"Karenna Gore Schiff"	0.0611753
Jackie	0.0611265
"Mary Slaney"	0.0609857
Karen	0.0609524
Wenger	0.0609415
Jeanne	0.0609272
Olga	0.0608413
Marinovich	0.0607375
"Claudia Poll"	0.0607339
Portillo	0.0606954
Sharon	0.0605447
Rodionov	0.0605386
Camacho	0.0605165
Kate	0.0605159
"Michelle Smith"	0.0604833
Brooke	0.0604745
Diane	0.0603083
Zadornov	0.0602675
Polly	0.0602332
Pfeiffer	0.0602317
Khalil	0.0601081
Edith	0.0601036
Magee	0.0600207
Kong	0.0600197
Nicklaus	0.0599825
"Ato Boldon"	0.0599362
Troussier	0.0598343
Mcbride	0.0597585
Lori	0.0597145
"Michel Camdessus"	0.0595572
Martha	0.0595359
Maureen	0.0593935
Rebecca	0.0593262
ALLISON	0.0593211
Kathleen	0.0592623
Dumas	0.0592359
Vermeil	0.0592174
JOYNER	0.05917
Nancy	0.0590647
Verney	0.0589289
Connors	0.0589016
Holtz	0.0586714
Debbie	0.0585607
Emily	0.0584809
Westbrook	0.0584783
Kathryn	0.0584564
Josephine	0.0583959
Petit	0.0583932
"Ben Johnson"	0.0583349
Raducan	0.058283
Symington	0.0582735
Browne	0.0581772
"Di Canio"	0.0581447
Montoya	0.0581039
Bullard	0.057907
"Gail Devers"	0.0577884
"Al Joyner"	0.0577608
))
("Christie Whitman" (desc 9729.19) (sims
"George Pataki"	0.246327
"Christine Todd Whitman"	0.213554
Whitman	0.197036
"Tom Ridge"	0.196843
"Jane Hull"	0.193571
"Paul Cellucci"	0.193032
"Jeb Bush"	0.192969
"John Engler"	0.192232
"John G. Rowland"	0.187683
"John Rowland"	0.187269
"Pete Wilson"	0.182162
"Gray Davis"	0.179212
"George Ryan"	0.163746
"Tommy Thompson"	0.156496
"Marc Racicot"	0.154647
"Frank Keating"	0.152967
"Mike Foster"	0.151111
Pataki	0.147603
"Bill Owens"	0.1445
"David Beasley"	0.143699
"George E. Pataki"	0.140643
"Jim Gilmore"	0.140337
"Bill Graves"	0.123576
"William Weld"	0.122875
"Pedro Rossello"	0.121943
Governor	0.121674
"Roy Barnes"	0.121531
"Ann Richards"	0.121027
"Mario Cuomo"	0.119923
"Jeanne Shaheen"	0.119755
Engler	0.118335
Cellucci	0.117107
"Gary Johnson"	0.115445
"Zell Miller"	0.114184
"William Cohen"	0.113691
"Rick Perry"	0.110217
Giuliani	0.108901
"Janet Reno"	0.108837
Voinovich	0.108096
"Jim Hodges"	0.107383
"Bruce Babbitt"	0.105393
"Mel Carnahan"	0.103803
Kuchma	0.103511
"George W. Bush"	0.103366
"Mike Leavitt"	0.102927
"Fob James"	0.101957
Mayor	0.101201
"Elizabeth Dole"	0.101005
"Dan Lungren"	0.10088
Rowland	0.100483
"Richard Blumenthal"	0.0982067
Cuomo	0.0979918
"Bob Taft"	0.0978771
senator	0.0963724
Leavitt	0.0962095
"Lawton Chiles"	0.0958631
"Jerry Brown"	0.0954846
congressmen	0.0952769
"Bill Bradley"	0.0946777
"Mike Huckabee"	0.0944419
"John Cornyn"	0.0940963
"Clinton Administration"	0.0936368
"Rick Lazio"	0.0934305
"Roy Romer"	0.0923382
Ashcroft	0.0919611
"Joseph Bruno"	0.0916587
Moi	0.090893
Zedillo	0.0908798
"John McCain"	0.090668
Yeltsin	0.0905818
"Ryutaro Hashimoto"	0.090418
"Dennis Vacco"	0.0896794
"Bill Richardson"	0.0893498
Chuan	0.0886867
"Gary Locke"	0.0884991
"Kofi Annan"	0.0883633
"Parris Glendening"	0.0881034
Lott	0.0879237
"Ehud Barak"	0.0879175
Carnahan	0.0872725
"Keizo Obuchi"	0.0870824
"Ronald Reagan"	0.0868332
"Bob Franks"	0.086701
"Marge Roukema"	0.0861188
Comptroller	0.0861112
Fordice	0.086041
"English Football Association"	0.085985
lawmaker	0.0859163
Riordan	0.0847361
Vallone	0.0846977
Hastert	0.0846229
"Federal Communications Commission"	0.0845313
"Jim Hunt"	0.0843111
"Benjamin Netanyahu"	0.0839214
"Tony Blair"	0.0839184
"Lionel Jospin"	0.0834292
legislator	0.0834088
Gramm	0.0827109
"George Bush"	0.0827072
"Hillary Rodham Clinton"	0.0825536
"Tom Campbell"	0.0823208
D'Amato	0.0822251
"Atal Bihari Vajpayee"	0.0817121
Wahid	0.0816921
"John Ashcroft"	0.0816551
"Wlodzimierz Cimoszewicz"	0.0815522
"Lamar Alexander"	0.0813788
"International Badminton Federation"	0.0813446
"state legislature"	0.0810659
Reno	0.0807336
Chancellor	0.080418
"Boris Yeltsin"	0.0803231
"Dan Glickman"	0.0800092
"President Kim Dae-jung"	0.0800005
"Trent Lott"	0.0797922
"John Howard"	0.0795949
Gingrich	0.0792861
"Daniel Patrick Moynihan"	0.0792124
"Alfonse D'Amato"	0.0792008
"Don Siegelman"	0.0789695
"House Majority Whip Tom DeLay"	0.0785747
"council member"	0.0785032
"board of education"	0.0784971
"J.C. Watts"	0.0784743
Annan	0.0784603
"Jesse Helms"	0.0783219
Speaker	0.0781773
"Congressional Democrats"	0.0780251
"Jimmy Carter"	0.0778918
"Tom Vilsack"	0.0777148
"city council"	0.0774817
Ramos	0.0774062
"Spencer Abraham"	0.0773989
Bruno	0.0773747
"Jim Florio"	0.0772838
"European Commission"	0.0770811
treasurer	0.0770721
"Charles Schumer"	0.0768353
Archer	0.076659
Selig	0.0766517
"Arlen Specter"	0.0766143
"Al D'Amato"	0.0764861
"Dai Xianglong"	0.0764089
"Robert Torricelli"	0.076305
Blair	0.0762654
Murkowski	0.0762233
Babbitt	0.0760501
Hyde	0.0759795
"Jesse Ventura"	0.0758779
"John Major"	0.0756253
Westendorp	0.0755241
"U.S. State Department"	0.0754433
"Binyamin Netanyahu"	0.0751593
"Defense William Cohen"	0.0747655
Vacco	0.0745515
Schroeder	0.0740943
"Education Department"	0.0738226
"Republican George W. Bush"	0.073809
"Kay Bailey Hutchison"	0.0735858
"federal official"	0.0735625
Gephardt	0.0735333
"Justice Ministry"	0.0735179
"Rick Santorum"	0.0735173
"Gary Bauer"	0.0734974
"Rafik Hariri"	0.0731547
"French Foreign Ministry"	0.0731447
"Secretary-General Boutros Boutros-Ghali"	0.0730555
FCC	0.0729695
DOLE	0.0727908
commissioner	0.0725336
Santorum	0.0725001
"Steve Forbes"	0.0724732
"Orrin Hatch"	0.0724634
"lieutenant governor"	0.0724197
Quackenbush	0.0723422
"Rodney Slater"	0.0722856
Torricelli	0.0722693
"Chief Executive Tung Chee-hwa"	0.0722347
"elected official"	0.0721027
"secretary of state"	0.0719898
EPA	0.0719386
"Phan Van Khai"	0.0718812
"Justice Department"	0.0717284
"finance minister"	0.0715597
Arafat	0.0711786
UEFA	0.0711153
Difrancesco	0.0711081
"George Voinovich"	0.071072
legislature	0.0710255
Mauro	0.0709333
"Paul Coverdell"	0.0708755
"Frank Lautenberg"	0.0708494
"Russian Foreign Ministry"	0.0708194
Taft	0.0707225
"Iranian Foreign Ministry"	0.0707144
"King Birendra"	0.0706343
"Alexander Lebed"	0.0706271
"Eliot Spitzer"	0.0705364
"State Department"	0.0704319
McCaffrey	0.070413
))
(Christie's (desc 15612.1) (sims
Sotheby's	0.380133
"auction house"	0.170073
eBay	0.108085
auction	0.0875008
"Morgan Stanley"	0.0790424
Phillips	0.0768599
"Saks Fifth Avenue"	0.0768494
"Philip Morris"	0.0764049
Sears	0.0750238
"Ford Motor Co."	0.0728043
"Securities Industry Association"	0.0727357
HSBC	0.0702513
"Saatchi &AMP; Saatchi"	0.0702242
"Coca-Cola Co."	0.069406
"Treasury Department"	0.0683894
"Conde Nast"	0.0677812
Pepsico	0.0676773
Bloomingdale's	0.066694
"Bankers Trust"	0.066639
"Compaq Computer Corp."	0.0661855
"Credit Suisse"	0.0655852
"Deutsche Bank"	0.0653572
"U.S. Immigration and Naturalization Service"	0.0652689
"Levi Strauss &AMP; Co."	0.0642144
Mattel	0.0637629
Butterfield	0.0637498
"World Bank"	0.0619085
"Glaxo Wellcome"	0.0618165
"General Motors Corp."	0.0616948
"Home Depot"	0.0616936
"William Morris"	0.0610443
"Walt Disney Co."	0.0609061
"Intel Corp."	0.0608242
"Dell Computer Corp."	0.0607645
Saks	0.0607424
"Times Mirror"	0.060682
Texaco	0.0604242
"Cuban American National Foundation"	0.060111
"Buckingham Palace"	0.0598081
"New York Times Co."	0.0596087
"Salomon Brothers"	0.0592768
"National Transportation Safety Board"	0.0590453
"Merrill Lynch &AMP; Co."	0.0587459
UBS	0.058715
"Barnes &AMP; Noble"	0.0586602
"National Marine Fisheries Service"	0.0581404
Pfizer	0.0581124
"American Lung Association"	0.0581013
REVLON	0.0580039
"Microsoft Corp."	0.0578576
FCC	0.057782
"Merrill Lynch"	0.057745
"Airport Authority"	0.0577252
CDC	0.0575234
"Central Election Commission"	0.0575131
dealer	0.0574848
"Mattel Inc."	0.0573868
"BP Amoco"	0.0569908
"American Home Products"	0.0569793
auctioneer	0.0569369
met	0.0568201
"Time Warner"	0.0563774
INEC	0.0563309
"Federal Communications Commission"	0.0563019
FTC	0.0563008
CompUSA	0.0562333
"Health Department"	0.0560484
"Planned Parenthood"	0.0558956
Mobil	0.0558572
"Bear Stearns"	0.0558219
"De Beers"	0.0557781
MCI	0.0557776
"Fannie Mae"	0.0556657
"Times Co."	0.0556373
MFA	0.0551737
ARCO	0.0550894
"Goldman Sachs"	0.0549967
"RJR Nabisco"	0.0549089
"Boeing Co."	0.0547879
"P&AMP;G"	0.0547832
"U.S. State Department"	0.0546475
"Coca-Cola Enterprises"	0.0545159
Novartis	0.0544132
"Air Line Pilots Association"	0.0541446
BellSouth	0.0541426
Totalfina	0.0540543
Siemens	0.0540105
"Air Transport Association"	0.0539738
"United Way"	0.0538188
"Credit Suisse First Boston"	0.0537188
"American Red Cross"	0.0536006
"Chevron Corp."	0.0535473
"Hearst Corp."	0.0535099
"Department of Education"	0.0534105
"National Republican Congressional Committee"	0.0534016
IBM	0.0533004
Monsanto	0.0531479
"Office of Management and Budget"	0.0531412
Citigroup	0.0530689
HKMA	0.0529624
Bertelsmann	0.0528893
"foreign office"	0.052847
"Democratic National Committee"	0.052833
"Universal Studios"	0.0528176
"Metropolitan Museum"	0.0528058
"Department of Health"	0.0526972
BMW	0.0525959
Enron	0.0525776
"Burger King"	0.0525606
"Con Edison"	0.0524704
SEC	0.0524611
Aetna	0.0523969
"Whitney Museum of American Art"	0.0523344
"MCI WorldCom"	0.0521232
"British Foreign Office"	0.0521198
"Metropolitan Museum of Art"	0.0520559
"Federal Trade Commission"	0.0520469
"National Election Committee"	0.0518382
"US Airways"	0.0518073
Pentagon	0.0517824
"Department of Public Safety"	0.0516283
"National Park Service"	0.0516089
"Justice Department"	0.05153
"Delta Air Lines"	0.0514362
"Barneys New York"	0.0513688
"Seagram Co."	0.051341
"American Express"	0.0513076
EPA	0.0512751
"Neiman Marcus"	0.0512562
Renault	0.0511768
"department store"	0.051075
Rolls-Royce	0.0510198
"French Foreign Ministry"	0.0508492
Chevron	0.0507373
Halliburton	0.0507308
Nordstrom	0.050699
KPA	0.0506763
NAACP	0.0506318
"Procter &AMP; Gamble"	0.0505366
Inc.	0.0504515
"Airbus Industrie"	0.0503868
"Football Association"	0.0503764
"British Airways"	0.0503397
newsstand	0.0502451
SLOC	0.0502266
Hewlett-Packard	0.050203
DaimlerChrysler	0.0499855
"Hewlett-Packard Co."	0.0499468
"Securities and Exchange Commission"	0.0499353
ITT	0.0499307
"London Marathon"	0.0498494
Medtronic	0.049826
"Netscape Communications"	0.0497185
"Amnesty International"	0.0496109
ENTERGY	0.0495881
"Iranian Foreign Ministry"	0.0495791
"Enron Corp."	0.049515
Amazon.com	0.0495033
PaineWebber	0.0494795
Coca-Cola	0.0494235
"Environmental Protection Agency"	0.0493993
"Vanguard Group"	0.0493891
"News Corp."	0.0492629
"mail order"	0.0492422
Viacom	0.0492363
"R.J Reynolds"	0.0491917
"Gap Inc."	0.0489735
NEC	0.0489673
"European Bank for Reconstruction"	0.0489375
"Health Ministry"	0.0488904
Amoco	0.0488717
"National Highway Traffic Safety Administration"	0.0488676
"Republican National Committee"	0.0488646
"British Museum"	0.0488534
"Bell Atlantic Corp."	0.048777
USDA	0.0487547
"Rockefeller Center"	0.0487521
"Bell Atlantic"	0.0487516
retail	0.0485867
"Justice Ministry"	0.0485824
"Pfizer Inc."	0.0485661
"central bank"	0.0484169
"Learning Co."	0.0483635
Chrysler	0.0482758
NTSB	0.0482398
"Commerce Department"	0.0481821
MCDONALD's	0.0481366
GEC	0.0481228
"Texas Department of Public Safety"	0.0480691
YankeeNets	0.0480418
"Charles Schwab &AMP; Co."	0.0480081
NIKE	0.0479539
"Energy Department"	0.0479037
"Lockheed Martin"	0.0478831
"Senate Budget Committee"	0.0478757
"Lincoln Center"	0.0478664
collector	0.0478434
"American Cancer Society"	0.0478209
Paribas	0.0477937
USOC	0.0477882
))
(Christina (desc 3770.22) (sims
Eileen	0.127683
Christine	0.127338
Jacqueline	0.126577
Kristin	0.120964
Michele	0.119916
Diane	0.117298
Josephine	0.11363
Kathleen	0.113092
Stephanie	0.111566
Susan	0.110741
Debbie	0.109313
Vicki	0.109309
Rachel	0.105133
Jennifer	0.105098
Beverly	0.104135
Vanessa	0.103973
Dorothy	0.102885
Samantha	0.10215
Brenda	0.101731
Amy	0.10155
Lisa	0.101421
Julie	0.101283
Kathy	0.101223
Alexandra	0.100723
Jenna	0.100327
Patricia	0.0997628
Suzanne	0.0994249
Edith	0.0992997
Andrea	0.0982916
Beth	0.0973888
Liz	0.0962811
Julia	0.096209
Miriam	0.0955404
Natalie	0.0950698
Anne	0.0947383
alicia	0.094511
Olga	0.0931771
Caroline	0.0921504
Rebecca	0.0921044
Pam	0.0920665
Sylvia	0.0916341
Maureen	0.0915183
Michelle	0.0912889
Sophie	0.0912272
Mona	0.0908489
Lori	0.0899687
ANN	0.0896927
Sonia	0.0895342
Pauline	0.0893756
"Karenna Gore Schiff"	0.0891356
Jamie	0.0890102
Doris	0.0887617
Jessica	0.0886718
JoAnne	0.0883484
Jill	0.087857
Peggy	0.0872964
Barbara	0.087292
Polly	0.0871718
Judy	0.0871626
Frances	0.0863605
Margaret	0.0861613
Evelyn	0.0854156
colleen	0.0848535
Molly	0.0846707
Valerie	0.0839874
Kimberly	0.0839757
Carolyn	0.0837413
Danielle	0.0829988
Marian	0.082903
Maria	0.0821586
Juli	0.0819629
Erica	0.0819394
Theresa	0.081798
Rhonda	0.0813877
Cathy	0.081328
Nancy	0.0812207
Nicole	0.0811474
Cheryl	0.0811338
Pamela	0.0809796
Lois	0.0809395
Laura	0.0809229
Donna	0.0803052
Karenna	0.0802656
Karen	0.0801504
Millie	0.0800139
Melanie	0.0798124
Courtney	0.0797862
Ashley	0.0796019
JonBenet	0.0795228
Lydia	0.0794406
Helen	0.0793967
Lynne	0.0790983
Elizabeth	0.0789376
Robin	0.0788012
Marlene	0.0787002
Jenny	0.0786083
Betsy	0.078146
Nora	0.0780565
Cindy	0.077972
Stella	0.0778917
Ellen	0.0778613
Catherine	0.0776127
Teresa	0.0773355
Elena	0.0771936
Irina	0.0771604
Linda	0.0771434
Shannon	0.077142
Alison	0.0769567
Meg	0.0764833
Denise	0.0761941
Louise	0.076143
Terri	0.0760212
Emily	0.0760005
Katherine	0.0759833
Beatrice	0.0759821
"Barbara Bush"	0.0759608
Emma	0.0759595
Katie	0.0757365
Meredith	0.0754912
Marisleysis	0.0748787
Carol	0.0748411
Clara	0.0744626
Marie	0.0744601
Elisabeth	0.0740138
Gail	0.0736922
Hannah	0.0735974
Joan	0.0729645
Leah	0.0729485
Kate	0.0723445
Edna	0.0721151
Brooke	0.0720829
Tracey	0.0716047
Gina	0.0714932
Renee	0.0712864
Toni	0.0712063
"Caroline Kennedy Schlossberg"	0.0708611
Nina	0.0704195
Jackie	0.0697693
Angela	0.0697122
Juanita	0.0697107
Phyllis	0.0693648
Janet	0.0689695
Jeanne	0.0687337
Nikki	0.0683867
Olivia	0.0682774
Sarah	0.0682201
becky	0.0682052
Melinda	0.0681181
Monique	0.0680965
Claudia	0.067899
Angelica	0.0678635
Lynn	0.0674069
Tina	0.0671413
Bridget	0.0669742
Sandra	0.0662575
anna	0.0653703
Martha	0.0653157
Nana	0.0651123
Audrey	0.0649745
Megan	0.0646126
Cristina	0.0645479
Kathryn	0.0643028
Nate	0.0642164
Mary	0.0639709
Annie	0.0639258
Wally	0.0637916
Stacy	0.063485
Sara	0.0631266
Esther	0.0630779
Deborah	0.0629595
Erin	0.0628024
heather	0.0626126
TARA	0.0625247
Lyn	0.0625055
Eleanor	0.0624888
Maya	0.0623595
Melissa	0.0619969
Connie	0.0619791
Amanda	0.0619365
Alice	0.0615375
Betty	0.0613814
Paulina	0.0613065
Gaither	0.0612868
hazel	0.0609383
Shirley	0.0608896
Judith	0.0603809
Wyatt	0.0603009
Cody	0.0593469
Debra	0.0591071
Lucia	0.0589983
Heidi	0.0588525
Jane	0.0588021
Natasha	0.0587616
Sasha	0.0586346
Veronica	0.0585528
gloria	0.05832
Elaine	0.0582037
Sheryl	0.0579756
Matthew	0.057803
Dora	0.0576629
))
("Christina Aguilera" (desc 4832.95) (sims
"Marc Anthony"	0.270202
"N Sync"	0.231716
"Britney Spears"	0.227745
"Ricky Martin"	0.224225
"Lauryn Hill"	0.188185
"Kid Rock"	0.179858
"Backstreet Boys"	0.167492
"Shania Twain"	0.161817
"Celine Dion"	0.157866
"Red Hot Chili Peppers"	0.154146
"Enrique Iglesias"	0.153674
"Andrea Bocelli"	0.152082
"GLORIA ESTEFAN"	0.140744
Eminem	0.136291
"Whitney Houston"	0.134453
Aguilera	0.12987
TLC	0.125536
"Carlos Santana"	0.123916
"Mariah Carey"	0.122138
"Sheryl Crow"	0.11424
"Phil Collins"	0.114051
"LeAnn Rimes"	0.113687
"Jennifer Lopez"	0.110285
Spears	0.109444
"Toni Braxton"	0.108704
"George Michael"	0.105029
"B.B King"	0.100929
"Mary J. Blige"	0.100596
"Macy Gray"	0.0996112
"Kirk Franklin"	0.0964084
"Alanis Morissette"	0.0943489
"Billy Joel"	0.0895048
"Faith Hill"	0.0889707
"Garth Brooks"	0.0883845
Madonna	0.0877927
Cher	0.0875093
"Aretha Franklin"	0.0863785
"Keri Russell"	0.0857941
"Barbra Streisand"	0.0851938
Santana	0.0844124
brandy	0.0843994
D'Angelo	0.08382
"Dave Matthews Band"	0.0831582
Jay-Z	0.0809384
Bjork	0.0806373
"Janet Jackson"	0.0800127
"Diana Krall"	0.0796498
"Spice Girls"	0.0796232
"Boyz II Men"	0.0769498
Selena	0.0761355
"Patti Smith"	0.074
"David Cassidy"	0.0719247
"Rob Thomas"	0.070181
"Leonardo DiCaprio"	0.070016
"Tina Turner"	0.0669191
"Joni Mitchell"	0.0667536
"Elton John"	0.0659765
"Jimmy Buffett"	0.0655609
Billie	0.0644884
"Michael Bolton"	0.0642674
"Tom Jones"	0.063846
"Puff Daddy"	0.0623556
"Michael Jackson"	0.0616893
"James Taylor"	0.0611574
"Barenaked Ladies"	0.061085
"Reba McEntire"	0.0610125
"Lenny Kravitz"	0.0607879
"Alan Jackson"	0.0606165
"Sarah McLachlan"	0.0606034
Moby	0.0604853
"Dixie Chicks"	0.0599891
"Vince Gill"	0.0599257
U@	0.0597853
"Marvin Gaye"	0.0593014
Puffy	0.0583671
"Salma Hayek"	0.0580604
"Eric Clapton"	0.057978
"Limp Bizkit"	0.0572757
Korn	0.0572412
"Jo Dee Messina"	0.0571005
Menudo	0.0564546
"Wyclef Jean"	0.0561962
"Clint Black"	0.055298
Anthony	0.0552735
"Dolly Parton"	0.0552061
"Tony Bennett"	0.055121
"Jimmy Smits"	0.0546848
"Tim McGraw"	0.0544827
Coolio	0.05381
"Carly Simon"	0.0533784
"Emmylou Harris"	0.0524241
"Erykah Badu"	0.0524222
"Chris Gaines"	0.0513975
"Ruben Blades"	0.0513785
"Will Smith"	0.0513185
"Paul Simon"	0.0508433
"Don Henley"	0.0503475
"R. Kelly"	0.0501281
Liam	0.0499787
Bono	0.0498202
"Jon Bon Jovi"	0.0493249
"David Bowie"	0.049311
"Luther Vandross"	0.0490093
DMX	0.0488277
"George Clooney"	0.0482837
"Peter Gabriel"	0.047918
"Christine Arron"	0.0475924
"Lucinda Williams"	0.0475231
"Fiona May"	0.0474689
Dre	0.0471027
"Tom Waits"	0.0469521
"Dennis Franz"	0.0469078
Hanson	0.0468055
"Lyle Lovett"	0.0467526
"George Strait"	0.0465377
"Robin Williams"	0.046464
"Mirjana Lucic"	0.0460246
"Bob Marley"	0.0454492
"George Jones"	0.0453312
"Audra McDonald"	0.0450987
rapper	0.0450948
"Trisha Yearwood"	0.0442551
"Jelena Dokic"	0.0438988
"Stevie Wonder"	0.0437635
Sean	0.0435104
"Dwight Yoakam"	0.0431708
Bocelli	0.043146
"Foxy Brown"	0.0429527
"Cindy Crawford"	0.0426312
"Courtney Love"	0.0425833
"John Mellencamp"	0.0425136
"Tom Hanks"	0.0424706
"Halle Berry"	0.0422093
"Ian Thorpe"	0.0420815
"Sylvester Stallone"	0.0418019
"Vanessa Williams"	0.0415249
"Luciano Pavarotti"	0.0413484
savant	0.0412894
"Elvis Costello"	0.0411874
"Alexandra Stevenson"	0.0410283
"Melissa Etheridge"	0.0408761
Supremes	0.0407901
"Drew Carey"	0.0407609
"Diana Ross"	0.0405042
Christina	0.0404556
Aerosmith	0.0403611
"Harry Belafonte"	0.040325
"Marilyn Manson"	0.0402756
"Christopher Walken"	0.0401265
))
("Christina Ricci" (desc 5028.34) (sims
"Courtney Love"	0.103413
"Liv Tyler"	0.0974142
"Calista Flockhart"	0.0970336
"Paul Rudd"	0.0950221
"Jennifer Love Hewitt"	0.0943734
"Janeane Garofalo"	0.0864939
"Drew Barrymore"	0.0845893
"Charlize Theron"	0.08446
"Rupert Everett"	0.0831147
"Ryan Phillippe"	0.0782165
"Ben Affleck"	0.0769092
"Catherine Keener"	0.0762853
"Heather Graham"	0.0721245
"Meg Ryan"	0.068461
"Holly Hunter"	0.067306
"Nigel Hawthorne"	0.0669877
"Ben Stiller"	0.0655692
"Geena Davis"	0.0652084
"Geoffrey Rush"	0.0651224
"Stanley Tucci"	0.0650899
"Jamie Lee Curtis"	0.0649841
"Edward Furlong"	0.0647919
"Denis Leary"	0.0640624
"Angelina Jolie"	0.0640081
"Jeremy Irons"	0.0636063
"Ted Danson"	0.0612267
"Bernadette Peters"	0.0605452
"Minnie Driver"	0.0597259
"Kate Hudson"	0.059283
"Liam Neeson"	0.0591632
"PHILIP SEYMOUR HOFFMAN"	0.0582737
"Natalie Portman"	0.0574989
"Taye Diggs"	0.0571368
"Ewan McGregor"	0.0569777
"Melanie Griffith"	0.0567321
"Jay Mohr"	0.05655
"Danny DeVito"	0.0562518
"James Van Der Beek"	0.0560715
"Juliette Lewis"	0.0559542
"Brenda Blethyn"	0.0549537
"Jamie Foxx"	0.0548431
"Michelle Pfeiffer"	0.0546524
"Jeremy Northam"	0.0545906
"Leonardo DiCaprio"	0.0543145
"Helen Mirren"	0.054018
"Joseph Fiennes"	0.0538448
"Dame Judi Dench"	0.053715
"Mel Gibson"	0.0535077
"Gwyneth Paltrow"	0.0531615
"Patricia Arquette"	0.0528084
"Reese Witherspoon"	0.0525287
"Matt Damon"	0.0521206
"Jennifer Lopez"	0.0520583
"Leelee Sobieski"	0.0518389
"Neve Campbell"	0.0517189
"Frances McDormand"	0.0514658
"Bill Pullman"	0.0514417
"Ashley Judd"	0.051351
"Judi Dench"	0.0501337
"Nathan Lane"	0.0501299
"Aidan Quinn"	0.0498878
"Julie Andrews"	0.0496938
"Walter Matthau"	0.0495184
"Susan Sarandon"	0.049242
"Oliver Platt"	0.0489264
"Kenneth Branagh"	0.0487242
"Claire Danes"	0.0485002
"Samuel L. Jackson"	0.0483006
"Ally Sheedy"	0.0482249
"Famke Janssen"	0.0480339
"Matthew Broderick"	0.0476573
"Tim Allen"	0.0473265
"Jodie Foster"	0.0471527
"Garry Shandling"	0.0471231
"Billy Crudup"	0.0469497
"Sandra Bullock"	0.0464191
Broderick	0.0462802
"James Earl Jones"	0.0460811
"Diane Keaton"	0.0460771
"David Spade"	0.0457758
"Pierce Brosnan"	0.0457728
"Willem Dafoe"	0.045699
"Dennis Quaid"	0.045553
"Glenn Close"	0.045404
"Greg Kinnear"	0.0452513
"Kathy Bates"	0.0451548
"Joan Allen"	0.045147
"Richard Gere"	0.0451292
"Kevin Costner"	0.0451129
"Meryl Streep"	0.0445137
"Keanu Reeves"	0.0444555
"Sally Field"	0.0437762
"Sigourney Weaver"	0.0436107
"Sarah Michelle Gellar"	0.0435186
"Janet McTeer"	0.0433187
"Gary Sinise"	0.0431594
"John Malkovich"	0.0430276
"William Hurt"	0.0428268
"Sela Ward"	0.0427418
"Norm MacDonald"	0.0426136
"Matt Dillon"	0.0425359
"Billy Bob Thornton"	0.0424737
"Chow Yun-Fat"	0.0421741
"Johnny Depp"	0.0420711
"Vanessa Williams"	0.0417937
"Nia Long"	0.0417604
"Alfre Woodard"	0.0416444
"John Cleese"	0.0415442
"Ellen Burstyn"	0.0414112
"Winona Ryder"	0.0413719
"Matthew Perry"	0.0413555
"Kelsey Grammer"	0.0411782
"Martin Lawrence"	0.0411127
"Don Juan"	0.041068
"Omar Epps"	0.0410617
"Keri Russell"	0.0410136
"Christian Bale"	0.0409281
"Cate Blanchett"	0.040649
"Brad Pitt"	0.0405124
"Ian Holm"	0.040471
"Michael Caine"	0.040454
"Kirk Douglas"	0.0403473
"Faye Dunaway"	0.0403308
))
(Christine (desc 4301.83) (sims
Eileen	0.16875
Jacqueline	0.162333
Kristin	0.158662
alicia	0.157381
Brenda	0.148925
Patricia	0.148162
Tracey	0.143222
Lynne	0.140082
Olga	0.139855
Peggy	0.137777
Suzanne	0.137099
Stephanie	0.137038
Margaret	0.135198
Cindy	0.135046
Sonia	0.134882
Lori	0.134384
Julie	0.132596
Michele	0.132458
Evelyn	0.131513
Doris	0.130485
JoAnne	0.130142
Maureen	0.129528
Helen	0.129079
Cherie	0.128281
Rita	0.127992
Christina	0.127338
Valerie	0.12605
Irina	0.124845
Josephine	0.124545
Carolyn	0.123894
Susan	0.123525
Debbie	0.123341
Sylvia	0.122735
Michelle	0.121519
Diane	0.121422
Polly	0.120931
Kathleen	0.120853
Cheryl	0.120776
Edith	0.12073
Millie	0.120592
Kathy	0.120353
Barbara	0.119924
Kimberly	0.119269
Laura	0.118919
Cathy	0.118776
Rhonda	0.118563
Pam	0.118199
Jill	0.117342
Deborah	0.117167
Alexandra	0.115647
Jennifer	0.114999
Elaine	0.114427
Linda	0.11422
Vicki	0.113481
Meg	0.113225
Frances	0.113103
Dorothy	0.11218
Lydia	0.111653
Annie	0.111146
Andrea	0.110895
Denise	0.110798
Judy	0.110569
gloria	0.110425
Kathryn	0.109263
Marilyn	0.109002
Liz	0.108707
Sandra	0.108685
Olivia	0.10836
Phyllis	0.108349
Katie	0.10819
Julia	0.107949
Marianne	0.107845
Nancy	0.10761
colleen	0.10722
Anne	0.106987
Juanita	0.10682
"Patsy Ramsey"	0.106731
Marlene	0.106182
Sarah	0.106153
Shirley	0.106011
Heidi	0.105477
Lisa	0.105453
Beverly	0.105326
Karen	0.105244
Caroline	0.10513
Rebecca	0.104979
Audrey	0.103945
Eleanor	0.103939
Amy	0.102671
Janet	0.102649
Nicole	0.102576
Erica	0.102097
Betsy	0.101381
Sara	0.101042
Pauline	0.100979
Louise	0.100411
Donna	0.100395
Melinda	0.0999534
Elena	0.0994019
"Azizah Ismail"	0.0988718
Maria	0.0988031
Rachel	0.0985824
Natalie	0.0984713
Karenna	0.0984438
Theresa	0.0979397
Connie	0.0977705
Carol	0.0973661
Nora	0.0964693
Hadassah	0.0963553
Jenny	0.0963199
Beth	0.0961941
Lois	0.0960106
Martha	0.0959758
Melanie	0.0958203
ANN	0.0957255
Marian	0.0954067
"Leigh Ann"	0.0953406
Roberta	0.0950631
"Carolyn Bessette Kennedy"	0.0940683
Lynn	0.0940493
Terri	0.0940214
Renee	0.093835
Teresa	0.0938335
Brooke	0.0938249
Dolores	0.0937839
Meredith	0.093073
anna	0.0930512
Tina	0.0929194
Paula	0.0928061
Marie	0.0926005
Sophie	0.0924905
Jamie	0.0922444
Marta	0.0920613
Beatrice	0.0915789
Debra	0.0913671
Janice	0.0912995
Patti	0.0912882
Sheryl	0.0910822
Melissa	0.0907781
Vanessa	0.0898054
Stella	0.0897758
Angela	0.0897469
Claire	0.0891364
Pamela	0.0889697
Robin	0.0886504
Gail	0.08838
Claudia	0.088245
Emily	0.0880055
Erin	0.0879103
hazel	0.0871496
Esther	0.0870026
Winnie	0.086899
Judith	0.0868859
Nina	0.0868651
Lyn	0.0868035
Katherine	0.0866845
Monique	0.0866811
Jeanne	0.0865684
Emma	0.0864943
Jessie	0.0860899
"Queen Noor"	0.0857772
Clara	0.0856762
Leah	0.085382
Shannon	0.0853719
Catherine	0.0849937
Kate	0.0849483
Marcia	0.0845505
Sally	0.0841892
Miriam	0.0838967
Jackie	0.0836223
Alison	0.0835909
Jessica	0.0834629
Megan	0.0832881
Naomi	0.0831032
Laurie	0.0828347
Vera	0.0820595
Cynthia	0.0817522
Alice	0.0816772
Camille	0.0812273
Mary	0.0811726
Anita	0.080225
Mona	0.079989
becky	0.0799662
Gina	0.0796964
Toni	0.079363
Marisleysis	0.0789864
Joan	0.0789134
Samantha	0.0788911
Lucille	0.0788186
Lucia	0.0787322
Marge	0.0787201
Kay	0.0785749
Jane	0.078428
Paulina	0.0776266
"Karenna Gore Schiff"	0.0775355
Lauren	0.0772786
Betty	0.0769241
Vivian	0.0768066
Sheila	0.0762419
Wendy	0.0762101
))
("Christine Arron" (desc 1070.33) (sims
"Marie-Jose Perec"	0.323881
"Li Xuemei"	0.294719
"Koji Ito"	0.265958
"Susanthika Jayasinghe"	0.249904
"Didier Auriol"	0.206846
"Irina Privalova"	0.201915
"Doug Walker"	0.19137
"Merlene Ottey"	0.188372
"Renault SA"	0.185393
"Linford Christie"	0.179891
"Maurice Greene"	0.178427
"Bruny Surin"	0.177885
"Arnaud Di Pasquale"	0.177776
"Inge de Bruijn"	0.176994
"Ato Boldon"	0.172872
"ELF AQUITAINE"	0.171413
"Amelie Mauresmo"	0.16762
"Gail Devers"	0.166039
"Alexander Popov"	0.163058
"Jean-Philippe Gatien"	0.16226
"Aerospatiale Matra"	0.159928
"Sebastien Grosjean"	0.159393
"Frankie Fredericks"	0.158775
"Paul Tergat"	0.15871
"Jerome Golmard"	0.157819
"Marion Jones"	0.157413
"Guillaume Raoux"	0.156737
"Erik Zabel"	0.149702
"Laurent Jalabert"	0.145525
"Jon Drummond"	0.145265
"Le Jingyi"	0.144972
"Donovan Bailey"	0.142246
"Maria Butyrskaya"	0.141404
"Inger Miller"	0.140088
"Marina Anissina"	0.140046
"Fabrice Santoro"	0.138286
"Jenny Thompson"	0.136011
"Deon Hemmings"	0.1344
"Mario Cipollini"	0.134064
"Miguel Indurain"	0.133684
"Julie Halard-Decugis"	0.133372
"Irina Slutskaya"	0.133112
"Wang Junxia"	0.132809
"Jean Van de Velde"	0.132795
Rhone-Poulenc	0.130102
"Richard Virenque"	0.129978
"Michael Johnson"	0.129021
"Maria Mutola"	0.128267
"Dara Torres"	0.127053
"Max Biaggi"	0.125908
"Florence Griffith Joyner"	0.125414
"Sandrine Testud"	0.125117
"Tom Dolan"	0.124443
"Mary Pierce"	0.124374
"Li Jiajun"	0.124135
"Deborah Compagnoni"	0.123594
"Anne-Gaelle Sidot"	0.123374
"Daniel Komen"	0.12246
"Katja Seizinger"	0.122125
Zabel	0.120848
"Moses Tanui"	0.119727
"Paulie Ayala"	0.118988
"Ian Thorpe"	0.11884
"Arnaud Boetsch"	0.118423
"Marco Pantani"	0.118118
"Denis Pankratov"	0.117871
"Penny Heyns"	0.115449
"Alberto Tomba"	0.114817
"Rodney Eyles"	0.11455
"Nicolas Escude"	0.113664
Musashimaru	0.113568
"Dennis Mitchell"	0.113507
"Kostya Tszyu"	0.112414
"Nathalie Tauziat"	0.112229
"Cathy Freeman"	0.111647
Biffle	0.110324
"Michael Klim"	0.110116
"Martina Ertl"	0.109967
"Grant Hackett"	0.109952
"Alexandra Fusai"	0.109952
"Alexei Yagudin"	0.109577
"Kieren Perkins"	0.109371
Aerospatiale	0.108644
"Favorite Trick"	0.108416
"Nathalie Dechy"	0.108242
"Eric Cantona"	0.108045
"Susi Susanti"	0.107869
"Johan Museeuw"	0.107439
"Le Defi Francais"	0.107332
"Susie O'Neill"	0.106867
"Arnaud Clement"	0.105753
"Wang Yifu"	0.105648
"Simona Amanar"	0.105146
"Jansher Khan"	0.105094
"Bjorn Borg"	0.104065
"Pernilla Wiberg"	0.104051
"Buster Douglas"	0.103897
"Cedric Pioline"	0.103377
"Alex Zanardi"	0.103033
"Allen Johnson"	0.102722
"Claudia Poll"	0.102624
"Hermann Maier"	0.102617
Takanonami	0.101623
"Guy Forget"	0.101469
"Gary Hall Jr."	0.101146
"Zinedine Zidane"	0.10059
"Alexei Nemov"	0.100254
"Sonia O'Sullivan"	0.10018
"Fernando Vargas"	0.099344
"Laurent Brochard"	0.0991296
"Iwan Thomas"	0.0983131
"Juan Montoya"	0.0982941
"Michael Weiss"	0.0980761
"Eddie Cheever"	0.0975773
"Tommi Makinen"	0.0975388
"Sarah Pitkowski"	0.0973158
"Deng Yaping"	0.0962856
"Hicham El Guerrouj"	0.0962677
Heyns	0.0961493
"Colin Jackson"	0.0957907
"Michael Von Gruenigen"	0.0956642
"Fatuma Roba"	0.0955262
"Carlos Sainz"	0.0953404
"Chris Boardman"	0.0952417
"Hubert Vedrine"	0.095092
"Fu Mingxia"	0.0944803
"Heryanto Arbi"	0.094181
AXA	0.0941161
"Steve Backley"	0.0935158
"Hilde Gerg"	0.0929559
"Arantxa Sanchez Vicario"	0.0928686
"Carl Lewis"	0.0927795
"Tom Steels"	0.0926067
"Jesse Owens"	0.092494
"David Reid"	0.0924545
Carrefour	0.0923286
"Martina Moravcova"	0.0919488
"Michelle Smith"	0.0918828
Artax	0.0916609
"Kim Batten"	0.0915828
"Samantha Riley"	0.091259
"Zoran Primorac"	0.0912055
"Kjetil Andre Aamodt"	0.0906549
"Olympique Marseille"	0.0900482
"Gil Morgan"	0.0896881
"Vladimir Samsonov"	0.089415
"Hiroyasu Shimizu"	0.0881016
"Peter Rasmussen"	0.0879324
"Michael Schumacher"	0.0878058
"HANK KUEHNE"	0.087742
"Anatoly Karpov"	0.0876214
"Sandra Voelker"	0.087486
"Jan-Ove Waldner"	0.0874158
"Michael Stich"	0.0872855
fencer	0.0870699
"Andres Gomez"	0.0870367
"Marat Safin"	0.0867963
"Michael Doohan"	0.0867883
"C.J Hunter"	0.0867748
"Camilla Martin"	0.0865779
"Julius Francis"	0.0864334
"Johnny Tapia"	0.0863656
"Ivan Pedroso"	0.0861584
"Martin Schmitt"	0.086112
Longo	0.0859464
Olano	0.0858101
"Ivan Lendl"	0.0856374
"Isolde Kostner"	0.0855362
"Colin McRae"	0.0851654
"Roy Jones Jr."	0.0849368
"Ben Johnson"	0.0847809
"Ge Fei"	0.0846791
"Stacy Dragila"	0.0846361
"Billie Jean King"	0.0846276
Thorpe	0.0837904
Devers	0.0835918
"Roger Federer"	0.0835253
"Guo Jingjing"	0.0835214
"Pat Rafter"	0.0834997
"Picabo Street"	0.0833264
Anees	0.0832835
"Steffi Graf"	0.0827568
Klim	0.0825526
"Gary Hall"	0.0825187
"Chen Lu"	0.0822522
"MIka Hakkinen"	0.0817861
"Frank Bruno"	0.0814958
"Haile Gebrselassie"	0.0813907
Ottey	0.0805252
"Ye Zhaoying"	0.0804036
"Liu Guoliang"	0.0801455
"Garry Kasparov"	0.0801368
"Abraham Olano"	0.0795392
"Blaine Wilson"	0.0795023
"El Guerrouj"	0.0794113
"Angelo Taylor"	0.0793517
"Thomas Stangassinger"	0.0793035
"Pavel Tonkov"	0.0793023
"Bobby Rahal"	0.079217
"Airbus Industrie"	0.0790182
))
("Christine Todd Whitman" (desc 2046.65) (sims
"Frank Keating"	0.259278
"John Rowland"	0.225786
"William Weld"	0.219663
"Tommy Thompson"	0.218972
"Tom Ridge"	0.216931
"Gary Johnson"	0.214127
"Christie Whitman"	0.213554
"George Ryan"	0.212238
"John Engler"	0.206504
"Marc Racicot"	0.190508
"David Beasley"	0.179868
"Roy Romer"	0.176334
"Paul Cellucci"	0.173403
"Parris Glendening"	0.172533
"Jeanne Shaheen"	0.169649
"Bill Graves"	0.16795
"Jim Gilmore"	0.165552
"Bill Owens"	0.162999
"Mike Leavitt"	0.156531
"John G. Rowland"	0.148778
"Pete Wilson"	0.146916
"Mike Huckabee"	0.145875
"Bob Taft"	0.145035
"Chris Patten"	0.144249
"Fob James"	0.143219
"Jim Hodges"	0.136183
"Marge Roukema"	0.1344
"Nur Misuari"	0.133827
"Dai Xianglong"	0.13187
"Gray Davis"	0.130946
Sutiyoso	0.129466
"George Pataki"	0.126524
"Bob Franks"	0.124609
"Zell Miller"	0.123519
"Lawton Chiles"	0.117914
"Betsy McCaughey Ross"	0.117396
"Jeb Bush"	0.115909
"Mario Cuomo"	0.114976
"Mike Foster"	0.11469
Engler	0.114172
"Frank Lautenberg"	0.112999
"Gary Locke"	0.110103
Whitman	0.109677
"Jim Guy Tucker"	0.109101
"Buddy MacKay"	0.106319
"George E. Pataki"	0.104587
"Evan Bayh"	0.102725
"Tom Vilsack"	0.101984
"Robert Torricelli"	0.099184
"Jane Hull"	0.0983483
"Jerry Brown"	0.0980849
"Pedro Rossello"	0.0970637
"Curt Weldon"	0.0969383
"Vladimir Yakovlev"	0.0965599
"Michael Dukakis"	0.0959635
"Alexander Lebed"	0.0947597
"Roy Barnes"	0.0946534
"Ann Richards"	0.0941483
"George Voinovich"	0.0935217
"Lamar Alexander"	0.0922788
"Lowell Weicker"	0.0920254
"Jim Hunt"	0.0889917
Voinovich	0.0883926
"James Soong"	0.0874494
"Peter Verniero"	0.087324
"Paul Patton"	0.0867577
"Robert Menendez"	0.086719
"Medical Society"	0.0852412
"Don Siegelman"	0.0830885
R-Wis.	0.0825656
"Mel Carnahan"	0.0819931
"Jim Florio"	0.0808364
"Sherwood Boehlert"	0.0804907
"Tom Campbell"	0.0787116
"Rick Perry"	0.0785383
"Richard Lugar"	0.0775681
Fordice	0.0753309
"George Wallace"	0.0750981
Hayworth	0.0742668
"Susan Collins"	0.0738075
"Olympia J. Snowe"	0.0733915
"Ben Nighthorse Campbell"	0.0719894
Misuari	0.0711271
"Arlen Specter"	0.0709976
"Jack Kemp"	0.0707717
"Nelson Rockefeller"	0.0696792
"J.C. Watts"	0.0695031
"John Connally"	0.069501
"Bruce Babbitt"	0.068831
"Kathleen Kennedy Townsend"	0.0687274
"Conrad Burns"	0.0686683
R-Okla.	0.0684361
Rowland	0.0680928
"James Jeffords"	0.0677487
"Jesse Ventura"	0.0677315
"John Chafee"	0.0676952
"Steve Forbes"	0.0676852
"Speaker Ali Akbar Nateq-Nouri"	0.0665012
"Jennifer Dunn"	0.0661406
Cellucci	0.0661069
"Dan Miller"	0.065476
"Gary Bauer"	0.0653978
"Fred Thompson"	0.0652553
"Christopher Smith"	0.0650658
"Wim Duisenberg"	0.0637829
"Eddie George"	0.0636057
"Eliot Spitzer"	0.0635788
"Sam Brownback"	0.0633584
"John Ashcroft"	0.0629923
"John Cornyn"	0.0629604
Kyl	0.0628634
"Richard Blumenthal"	0.0628573
Sarid	0.0626733
"Health and Welfare Ministry"	0.0625009
Cornyn	0.0622738
"Ted Stevens"	0.0621238
"Tillie Fowler"	0.0618095
"Richard Shelby"	0.0616296
"Guy Millner"	0.0615252
Bruno	0.0612397
"Christopher Shays"	0.0610762
"Orrin Hatch"	0.0606112
Zarb	0.0604976
Lugar	0.0601424
"Patrick Buchanan"	0.0600922
"Boris Nemtsov"	0.0600534
"Jim Nicholson"	0.0594273
"Bill Thomas"	0.0592185
Dodik	0.0591372
Chenoweth	0.0591049
"Peter King"	0.0589074
"George Gekas"	0.0586247
"Edwin Edwards"	0.0585337
"Elizabeth Dole"	0.0584881
Westendorp	0.0576388
Dewey	0.0572571
mafioso	0.0572211
Jeb	0.0570658
"Linda Smith"	0.0569165
"Don Young"	0.0568277
"John Kasich"	0.0567197
Tauzin	0.0565787
"Spencer Abraham"	0.0565102
Bateman	0.0564556
"Bob Smith"	0.0564096
"Patrick J. Buchanan"	0.0563882
Surin	0.0563108
"John Kelly"	0.0561329
"Olympia Snowe"	0.0558188
"McCaughey Ross"	0.0556012
"Rick Santorum"	0.0554863
"Joseph Bruno"	0.0553707
"Dan Quayle"	0.0553062
"Chuck Hagel"	0.0551883
Brownback	0.0548559
"Gordon Smith"	0.0548106
"Dennis Hastert"	0.0548068
"Connie Mack"	0.0545258
"Robert Bennett"	0.0543835
"Kay Bailey Hutchison"	0.0541652
"Mark Foley"	0.0541072
"Dick Gephardt"	0.0535157
"Mark Sanford"	0.0534809
"Rick Lazio"	0.053353
Shattuck	0.05328
Marineau	0.0530308
"John Boehner"	0.0530178
Leavitt	0.0527403
Windom	0.0526269
"Larry Craig"	0.0522698
"Standard Oil"	0.0522131
"Vietnamese Communist Party"	0.0520887
"Craig Thomas"	0.0519776
Quackenbush	0.0519409
R-Ariz.	0.0519213
"Bob Bullock"	0.0518911
Izetbegovic	0.051864
Gilmore	0.0518585
Naumann	0.0516431
Wenger	0.0514274
"Jia Qinglin"	0.0513052
Gibbons	0.0506189
Banzer	0.0504122
"Defense William Cohen"	0.0503351
"Slade Gorton"	0.0501378
Hagel	0.0500608
"Don Nickles"	0.0499901
"defense lawyers"	0.0499456
"Nancy Johnson"	0.0499362
Rais	0.0498538
"American Home Products Corp."	0.0496995
"Chris Smith"	0.0495879
"Dan Lungren"	0.0495708
"Mitch McConnell"	0.0495085
"Kit Bond"	0.0494437
"George Nethercutt"	0.0492698
"Matt Fong"	0.0492658
"Majority Whip Tom DeLay"	0.049167
Sununu	0.0490639
"Mark Taylor"	0.0487608
))
(Christmas (desc 62097.5) (sims
Thanksgiving	0.223108
holiday	0.14645
Easter	0.141157
"Labor Day"	0.124805
summer	0.113585
weekend	0.10839
"Mother's Day"	0.105812
Halloween	0.103325
"New Year"	0.102294
winter	0.101821
Spring	0.100687
"Valentine's Day"	0.0991497
"Lunar New Year"	0.0945964
"Fourth of July"	0.0932721
"Memorial Day"	0.0922422
birthday	0.0887107
"Spring Festival"	0.0876961
"Chinese New Year"	0.0874715
night	0.0864612
"New Year's eve"	0.0848819
autumn	0.0846764
"Father's Day"	0.0840985
Sunday	0.0809152
day	0.0808461
Hanukkah	0.078175
"Dec @@"	0.07758
season	0.0774347
Passover	0.0764957
"holiday season"	0.0759826
Friday	0.0753993
Saturday	0.0747194
Evening	0.0744349
Tuesday	0.0741989
Monday	0.0739558
tomorrow	0.0734591
Thursday	0.0724511
afternoon	0.0722142
Wednesday	0.0708314
"year end"	0.0706219
"Christmas Eve"	0.0705631
anniversary	0.0695084
"Jan @"	0.0682991
morning	0.0681867
September	0.0674439
month	0.0668601
today	0.0662661
"July @"	0.0659851
"New Year's Day"	0.0659552
wedding	0.0653977
week	0.0647626
"Jan @@"	0.0644295
"March @@"	0.0643714
nights	0.0642631
noon	0.0640907
now	0.0640341
midnight	0.0639266
"National Day"	0.0639029
"St. Patrick's Day"	0.0638145
weekends	0.0636052
millennium	0.0635358
October	0.0635017
June	0.0634961
August	0.0634473
November	0.0631362
"Independence Day"	0.0630776
"election day"	0.0629654
"Oct @"	0.0622225
vacation	0.0614284
January	0.06123
deadline	0.0606222
may	0.0599307
July	0.0596212
"Oct @@"	0.0594637
March	0.0594533
"Christmas Day"	0.0594182
"June @@"	0.0593505
December	0.0592989
reunion	0.059038
three-day	0.0582054
"May @@"	0.0574835
"Nov @@"	0.0574585
election	0.0572719
celebration	0.0571969
dinner	0.0566776
hour	0.0565006
four-day	0.0560149
tonight	0.0557984
"July @@"	0.0554383
"Jan @, @@@@"	0.055315
"Feb @@"	0.0551613
"a few days"	0.0547137
"Super Bowl"	0.0544943
"Mardi Gras"	0.0544894
funeral	0.0537926
"first day"	0.0534631
"one day"	0.0534292
yesterday	0.0533643
moment	0.0531498
"Dec @"	0.0530446
"Sept @@"	0.0528316
here	0.0523472
February	0.0521433
dawn	0.0520979
five-day	0.0519493
April	0.0519311
"March @"	0.0517175
"April @@"	0.0510793
"Aug @@"	0.0505673
"Jan. @."	0.0505121
Sabbath	0.0504905
primary	0.0503589
lunch	0.0503471
decade	0.0496781
"first year"	0.0496728
occasion	0.0496058
"four months"	0.0495242
"four weeks"	0.0493117
convention	0.0493021
two-week	0.0488305
summit	0.0486533
"Sept @"	0.0485912
inauguration	0.0485654
"May @"	0.0485526
homecoming	0.0485505
"last week"	0.048196
festival	0.0481722
lunchtime	0.0476991
six-day	0.047676
"two days"	0.0476339
Summers	0.0475576
"December @@"	0.047351
nine-day	0.0470932
three-week	0.0469436
"Feb @"	0.0467309
"Nov @"	0.0467117
"a few hours"	0.0462474
recess	0.0460419
"two years"	0.0456038
"a few years ago"	0.0454893
"two years ago"	0.0453512
seven-day	0.0453143
harvest	0.0451392
"March @."	0.0450474
"general election"	0.0450061
"three weeks"	0.0450046
"February @@"	0.0450021
Olympics	0.0449931
"September @@"	0.0448123
ceremony	0.0447664
weeklong	0.0447309
two-day	0.0445686
"four days"	0.0444517
birth	0.0444206
"April @"	0.0440707
evenings	0.0440544
three-hour	0.0440224
"five years"	0.0438964
beginning	0.0437066
"a few years"	0.0435404
"November @@"	0.0432843
"years ago"	0.043266
"first night"	0.0431239
opening	0.0430496
Ramadan	0.0429227
"Aug @"	0.0426702
kickoff	0.042318
"July @."	0.0423112
Midday	0.0420915
"four years"	0.0420144
"two weeks"	0.0419955
graduation	0.041976
"June @"	0.0419054
"one year"	0.0417113
two-hour	0.0415719
"six months"	0.0414683
"six weeks"	0.0414344
caucus	0.0413514
"three months"	0.0413411
"three years"	0.0411769
Carnival	0.0411707
"summit meeting"	0.0409521
"three days"	0.0409341
offering	0.0409087
"August @@"	0.0407931
"January @, @@@@"	0.0407467
"a few months"	0.0406854
"World Cup"	0.040579
"two hours"	0.040472
"second half"	0.0403586
gathering	0.0402993
"spring training"	0.0400169
))
("Christmas card" (desc 4099.63) (sims
"birthday card"	0.140183
postcard	0.105188
"boarding pass"	0.0974832
"greeting card"	0.0940469
"form letter"	0.0938978
"business card"	0.0789818
printout	0.0767846
"Top @@@"	0.0717444
"personal letter"	0.0685104
brochure	0.068015
yearbook	0.0674752
"test-tube baby"	0.0658284
"love letter"	0.0657795
"parking ticket"	0.0639695
"Christmas gift"	0.0637536
planeload	0.0622218
Flattery	0.0610143
feeler	0.0595484
"pen pal"	0.0593418
talkie	0.0588372
"ticket stub"	0.0583783
questionnaire	0.0583619
Rolodex	0.0574471
telegram	0.0569779
missive	0.05668
"compact disk"	0.0561642
make-over	0.055939
freebie	0.055804
scrapbook	0.0551307
"electronic mail"	0.0547822
flier	0.0532476
"membership card"	0.0530521
memento	0.0529639
"heavy hitter"	0.0527148
smooch	0.0517487
packet	0.0517468
correspondence	0.0515074
snapshot	0.0513425
cassette	0.0513117
playlist	0.0511472
electioneering	0.0510474
"Christmas present"	0.0508349
greeting	0.0507418
"speeding ticket"	0.0506369
"baseball card"	0.0501413
"income tax return"	0.0499926
"fellow traveler"	0.0498389
envelope	0.0498386
trinket	0.0497097
"layer cake"	0.0495518
mammogram	0.0492489
"progress report"	0.0491669
"tax form"	0.049064
horoscope	0.0485956
coupon	0.0485284
"cold shoulder"	0.0485004
"teddy bear"	0.048429
"piece of work"	0.0484183
paperwork	0.0479297
stationery	0.0476269
deportee	0.0473176
yo-yo	0.0472052
thermostat	0.0470882
booklet	0.0469692
"application form"	0.0469546
"Easter egg"	0.0468387
pamphlet	0.0467668
"Felix Potvin"	0.0467637
newsletter	0.0467367
"name and address"	0.0464996
Ingres	0.0464481
outtakes	0.0462875
diary	0.0462214
bouquet	0.0460444
beep	0.0457942
manuscript	0.0457936
"white person"	0.0457556
"historical document"	0.0457189
"dollar bill"	0.0456966
snippet	0.0452868
invoice	0.0452402
"Albanian Kosovars"	0.045046
"absentee ballot"	0.0450274
"picture postcard"	0.0449962
calligraphy	0.0449597
bookmark	0.0448188
cheque	0.0447326
"yellow pages"	0.0443457
"compact disc"	0.0443037
"postage stamp"	0.0442944
"bus ticket"	0.0442423
"floor plan"	0.0440791
"spelling bee"	0.0440463
mailing	0.0439779
pooch	0.0439602
toolbar	0.0438609
"birthday present"	0.0436827
notification	0.0435484
"Passion play"	0.0435205
"chewing gum"	0.0434993
"Little Dog"	0.0431613
spam	0.0431294
"Princess Mononoke"	0.0428208
Grammy	0.0428031
birdbath	0.042764
woodcut	0.0426612
"plane ticket"	0.0425608
"key ring"	0.0425468
alimony	0.0425231
"phone book"	0.0423879
"Subway Series"	0.0423732
template	0.0423475
"census taker"	0.0423193
"Lunar New Year"	0.0422913
"sheet music"	0.0422346
password	0.0421878
"piece of paper"	0.0421822
idyll	0.0421754
"dance band"	0.0421114
clipping	0.042007
look-alikes	0.0418119
closers	0.0417599
"birthday gift"	0.04175
"distress signal"	0.0415868
packing	0.0415077
"telephone booth"	0.0414089
solicitation	0.0412904
salutation	0.0412659
"data file"	0.0412037
"report card"	0.0411587
"American Family Publishers"	0.0411491
"curtain call"	0.0408626
first-rounder	0.040855
stub	0.0406776
toenail	0.040646
"horse race"	0.0405056
headstone	0.0404962
storybook	0.0404735
"tax return"	0.0404398
"Census @@@@"	0.0402878
pop-up	0.040238
"baseball glove"	0.0400883
"filing cabinet"	0.0400374
))
("Christmas carol" (desc 3367.21) (sims
"folk song"	0.123708
"Amazing Grace"	0.123124
"Great Expectations"	0.117905
Lullaby	0.112468
"Star-Spangled Banner"	0.104459
"King Lear"	0.102972
Turandot	0.0933476
"Lord's Prayer"	0.0928371
"Don Quixote"	0.088938
Nutcracker	0.08831
Carol	0.0881047
hymn	0.0880781
"Swan Lake"	0.0861175
"sleeping beauty"	0.0856998
"Happy Birthday"	0.0828279
Oedipus	0.0781407
Romeo	0.0765298
"Peter Pan"	0.0756436
Medea	0.074815
"Peony Pavilion"	0.0745659
"Wild Party"	0.0733295
Aida	0.0702924
"West Side Story"	0.0687432
"Don Giovanni"	0.0681543
Aria	0.0661623
Showboat	0.0660166
"Les Miserables"	0.0649228
"Twelfth Night"	0.0648492
Othello	0.0640079
"national anthem"	0.0636499
"swing music"	0.0635813
ballad	0.0632918
"La Traviata"	0.0631568
Isolde	0.063043
"chorus line"	0.0619861
"folk dance"	0.0607075
"Sweeney Todd"	0.0601687
"chamber music"	0.0601311
"Beauty Queen"	0.0601241
"literary work"	0.0598999
Giselle	0.0597313
Iceman	0.0594223
Ulysses	0.059184
Tosca	0.0589687
"Great Gatsby"	0.0588506
cantata	0.0586685
Evita	0.0583233
"piece of music"	0.0577712
ragtime	0.0575273
jingle	0.0575185
capella	0.0575025
dirge	0.0573939
Faust	0.0573295
Salome	0.0568882
sextet	0.0566274
"Passion play"	0.0564895
cappella	0.0558481
Macbeth	0.0557387
Godot	0.0555739
"Streetcar Named Desire"	0.0554168
stanza	0.054981
psalm	0.0544056
anthem	0.0544034
"folk music"	0.0535344
Requiem	0.0533422
"Symphony No. @"	0.0530157
Rodgers	0.0528933
"scarlet pimpernel"	0.0525672
"Wonderful World"	0.0524355
"magnum opus"	0.052341
"puppet show"	0.052265
"Animal Farm"	0.0520875
Rigoletto	0.0519228
Catch-@@	0.0512688
"Anna Karenina"	0.051196
Footloose	0.050793
ditty	0.0503947
Mimi	0.0502398
"Night Fever"	0.0502097
Moby-Dick	0.0500017
Cinderella	0.0499287
"Julius Caesar"	0.0497876
oldies	0.0497463
repertoire	0.0494125
Otello	0.049163
"Princess Mononoke"	0.0490269
"theme song"	0.0487082
"Richard III"	0.0486699
"True West"	0.0486601
drivel	0.048652
"Tony Awards"	0.0484815
"adventure story"	0.0482843
"Moby Dick"	0.0481558
cabaret	0.0477953
"LA BOHEME"	0.0477195
Carmen	0.0472887
bolero	0.0468896
masterwork	0.0467786
spiel	0.0464236
Samson	0.0464099
encore	0.0463117
Falstaff	0.045972
skit	0.0456388
polka	0.0455653
"Cider House"	0.0453045
novella	0.0451487
"Starr Report"	0.0449495
repertory	0.0446012
"piano player"	0.0445849
"American Psycho"	0.0445806
recitative	0.0445701
SportsCenter	0.0443756
"theatrical production"	0.0442443
Annie	0.0440726
"musical instrument"	0.0440551
Blanche	0.0440453
"board game"	0.0440431
Frankenstein	0.0439306
Pushkin	0.0439071
Elektra	0.0436334
RealPlayer	0.0431963
"Annie Get Your Gun"	0.0431105
taming	0.0430756
shrew	0.0430431
recital	0.0427477
Porgy	0.0425196
autobiography	0.0424732
"luxury liner"	0.0424436
oratorio	0.0422632
"Microsoft Windows"	0.0422537
minstrel	0.0422526
"David Copperfield"	0.042232
sonata	0.0421171
"TV program"	0.0419218
"R&AMP;B"	0.0416314
operetta	0.0415458
"wise guy"	0.041493
symphony	0.0414789
sonnet	0.0414001
"variety show"	0.0413135
Alice	0.041309
bullfighter	0.0412935
Revue	0.0411515
"Oscar Wilde"	0.0410959
"game show"	0.040967
"Judy Garland"	0.0409324
"American Pie"	0.0408815
karaoke	0.0408703
lulu	0.0408662
"Lincoln Center Theater"	0.0406958
Gershwin	0.0406717
"song and dance"	0.0405437
rhyme	0.0405418
"musical comedy"	0.0404538
Dracula	0.0404464
femininity	0.0403891
tempest	0.0403279
Susannah	0.0403225
libretto	0.0402716
"Lion King"	0.040244
))
("Christmas Day" (desc 7485.63) (sims
"Christmas Eve"	0.147814
"Easter Sunday"	0.138532
"New Year's eve"	0.106684
"Fourth of July"	0.0974516
"New Year's Day"	0.0967594
"Dec @@"	0.0920324
"Thanksgiving Day"	0.0908057
"Jan @@"	0.0899699
"Aug @@, @@@@"	0.0852561
"Nov @@"	0.0851833
Easter	0.0839743
"Oct @, @@@@"	0.0836108
"Sept @@"	0.0831655
"March @, @@@@"	0.082608
"Mother's Day"	0.08178
"Oct @@"	0.0788492
"Bastille Day"	0.075923
"Veterans Day"	0.0750889
"July @@"	0.0750879
"Sept @"	0.0742339
"Feb @"	0.0723032
"Aug @"	0.0720652
Saturdays	0.0717748
"Dec @@, @@@@"	0.0708963
"Aug @@"	0.0707753
"Father's Day"	0.0700799
"Feb. @."	0.0694072
"Memorial Day"	0.0692398
"Feb @, @@@@"	0.068363
Sundays	0.0682274
"Sept. @."	0.0677672
"Dec. @."	0.0676561
"March @@"	0.0668925
weeknight	0.0668555
"Nov @@, @@@@"	0.0668534
"Feb @@"	0.0666076
"Dec @"	0.0662936
"Valentine's Day"	0.0655374
"Oct @"	0.0653044
"Nov. @."	0.0647402
"February @."	0.0646705
"June @, @@@@"	0.063842
"Yom Kippur"	0.0632384
"Jan @"	0.0631887
"Nov @"	0.0631362
"July @@, @@@@"	0.0625912
"May @@, @@@@"	0.0623875
Sabbath	0.0622817
weekends	0.0617777
"May @"	0.0616764
"Aug @, @@@@"	0.0614348
"June @"	0.0612393
"OCT @@, @@@@"	0.0610228
"Independence Day"	0.0601103
"Feb @@, @@@@"	0.0598413
"Labor Day"	0.0596252
"August @@, @@@@"	0.0595555
Christmas	0.0594182
"July @"	0.0593878
"March @@, @@@@"	0.0593725
Mondays	0.0589716
"Rosh Hashana"	0.0586656
"March @."	0.0573639
Halloween	0.0572563
"November @."	0.0568053
"April @@, @@@@"	0.0563992
"June @@, @@@@"	0.0560682
"Jan @@, @@@@"	0.0554438
"April @"	0.0542011
"December @@"	0.0541799
weekday	0.0541
"March @"	0.0537266
Wednesdays	0.0532961
"May @, @@@@"	0.0530846
"Earth Day"	0.0530654
"April @, @@@@"	0.0524182
"Sept @, @@@@"	0.0522745
"October @@"	0.0518471
"Dec @, @@@@"	0.0517129
"November @, @@@@"	0.0513086
pre-Christmas	0.0511447
"November @@, @@@@"	0.0508987
"April @."	0.0506612
"January @@, @@@@"	0.0503343
"February @@, @@@@"	0.0501653
"July @."	0.0498058
Thanksgiving	0.0497571
"September @@"	0.0496684
"May Day"	0.0490102
"Sept @@, @@@@"	0.048885
"Jan. @."	0.0484451
"Aug. @."	0.047974
Passover	0.0474414
"December @."	0.0472486
"Channel @@"	0.0469052
"Oct. @."	0.0459002
"election day"	0.0458739
"New Jersey Turnpike"	0.0457786
"Good Friday"	0.0455569
"day of the week"	0.0447804
nights	0.0444807
"September @."	0.0444464
"July @, @@@@"	0.0440042
"October @"	0.0438421
"St. Patrick's Day"	0.0431171
"Jan @, @@@@"	0.0430788
"Nov @, @@@@"	0.042874
"Court @"	0.0426206
"September @@, @@@@"	0.0425762
"September @, @@@@"	0.0423935
Shabbat	0.0423197
"wedding anniversary"	0.0419009
"silver screen"	0.0418287
"October @, @@@@"	0.0417548
"December @, @@@@"	0.0417353
ESPN@	0.0416786
"August @, @@@@"	0.0412214
"National Day"	0.0410419
"fishing season"	0.0404383
"January @@-@@"	0.0400388
))
("Christmas Eve" (desc 11813.3) (sims
"Easter Sunday"	0.152364
"New Year's eve"	0.150219
"Christmas Day"	0.147814
"New Year's Day"	0.110351
Easter	0.104477
"Thanksgiving Day"	0.101734
"Fourth of July"	0.0998733
"Mother's Day"	0.0989234
"Good Friday"	0.0930458
"Valentine's Day"	0.0873491
"Bastille Day"	0.0813493
"Father's Day"	0.0793377
"May Day"	0.0781345
"Chinese New Year"	0.0779951
"Dec @@"	0.0770866
"Memorial Day"	0.0749248
"July @@"	0.0742469
Passover	0.0742383
"Dec @@, @@@@"	0.0738798
Halloween	0.0736778
"April @@, @@@@"	0.0724318
weeknight	0.0717678
"December @@"	0.0712247
Christmas	0.0705631
"Oct @@"	0.0697033
"Veterans Day"	0.0685352
"March @@"	0.0677647
"St. Patrick's Day"	0.0675822
Sabbath	0.0668866
Evening	0.0660802
"Feb @, @@@@"	0.0650797
"Sept @"	0.0648227
"Oct @, @@@@"	0.0647674
weekends	0.0646198
"May @"	0.0635704
"Independence Day"	0.0627674
Thanksgiving	0.062047
"National Day"	0.0618304
"April @@"	0.0617073
"New Year"	0.0617063
"Aug @@"	0.0616531
"Jan @"	0.0612142
"October @."	0.0610252
"Jan @@"	0.0606673
"Labor Day"	0.0601554
"June @@"	0.060046
"Lunar New Year"	0.0596939
"Nov @@"	0.0595676
"June @@, @@@@"	0.0594601
"June @, @@@@"	0.0586113
"May @@"	0.0585394
eve	0.0584091
"Sept @@"	0.0582753
"October @@"	0.058251
"Aug @, @@@@"	0.0579103
"January @@"	0.0573714
"July @"	0.05724
"July @@, @@@@"	0.0571932
"Nov @@, @@@@"	0.0570325
"OCT @@, @@@@"	0.0568278
Shabbat	0.0567431
"December @@, @@@@"	0.0567155
sit-down	0.0565211
"May @@, @@@@"	0.0565065
"August @@"	0.0554339
"election day"	0.0550935
"August @@, @@@@"	0.054924
"February @@"	0.0547522
"Earth Day"	0.053929
"Feb @"	0.0538947
"Jan @@, @@@@"	0.0538541
potluck	0.0537635
birthday	0.0534916
"April @"	0.0533982
"March @."	0.0533112
"June @"	0.0530914
"Oct @"	0.0529613
"Chinese Lunar New Year"	0.0523382
"wedding anniversary"	0.052217
"November @@"	0.051699
"April @."	0.0515782
"Sept @@, @@@@"	0.0512642
bicentennial	0.0507904
Hanukkah	0.0505737
"Feb @@, @@@@"	0.0505362
"Feb @@"	0.0505016
"Mardi Gras"	0.0503084
"September @, @@@@"	0.0500817
weeklong	0.0500122
"July @."	0.0500058
"September @@, @@@@"	0.0499197
"Yom Kippur"	0.0498525
Sundays	0.0495555
"Aug @"	0.0495162
"Nov @, @@@@"	0.0494137
"March @"	0.048471
"September @@"	0.0483863
"Sept @, @@@@"	0.0480093
"March @, @@@@"	0.0479569
nights	0.0471621
three-hour	0.0461443
"August @"	0.0460756
"February @@, @@@@"	0.0457271
"November @"	0.0456697
"February @"	0.0454814
"Dec @"	0.0453922
"November @@, @@@@"	0.0452746
Sunday.	0.0452626
"Jan @, @@@@"	0.0450368
"November @."	0.0449724
"Nov @"	0.0449177
Saturdays	0.0448631
"February @."	0.0446654
"day of the week"	0.044576
"October @"	0.0443306
D-day	0.0440517
"January @"	0.0438349
"August @."	0.0437914
"July @-@"	0.043758
"Aug @@, @@@@"	0.0435301
"May @, @@@@"	0.0432904
"Jan. @."	0.0428179
"July @, @@@@"	0.0424624
Fridays	0.0419064
"first night"	0.0417956
"August @, @@@@"	0.0416657
"March @@, @@@@"	0.0415362
"holy day"	0.0414145
"Oct. @."	0.0407789
"New Jersey Turnpike"	0.0405763
"national holiday"	0.0405594
outskirt	0.0403763
four-hour	0.0403755
five-hour	0.0403746
"Nov. @."	0.0403634
Eid	0.0403002
"holiday season"	0.0400681
"Lap @@@"	0.0400269
))
("Christmas gift" (desc 3891.34) (sims
"Christmas present"	0.178693
"birthday present"	0.170601
"birthday gift"	0.163695
aperitif	0.0725893
"Christmas card"	0.0637536
copout	0.0629614
"medical aid"	0.0611952
salutation	0.0601968
"race horse"	0.0595014
"engagement ring"	0.0591084
compliment	0.0575476
Legos	0.0567031
smooch	0.056044
"personal appeal"	0.055016
freebie	0.0545031
"personal letter"	0.0542109
token	0.0535927
bequest	0.0527243
hand-me-down	0.0527008
getaway	0.0526852
"piece of furniture"	0.0524245
"vacation spot"	0.0523916
fillip	0.0522272
"form letter"	0.0520919
"plane ticket"	0.0519403
"money order"	0.0519306
takeout	0.0517648
"warning signal"	0.051367
"birthday card"	0.0509653
knickknacks	0.050561
pop-up	0.0505393
"marriage proposal"	0.0497697
"work of art"	0.0494
speller	0.0492571
Riesling	0.0492467
Furbys	0.0492206
"honorable mention"	0.0487182
souvenir	0.0487001
"train ticket"	0.0484344
"white elephant"	0.0482057
trinket	0.0480497
"sparkling wine"	0.0480135
"frame of mind"	0.0479295
cheerio	0.047801
feeler	0.0476012
pinata	0.0472047
epitaph	0.047179
"wedding ring"	0.0471524
"long-distance call"	0.0471186
"airplane ticket"	0.0471051
"distress signal"	0.0470829
"fringe benefit"	0.0469916
"software package"	0.0468864
keepsake	0.046782
perk	0.0463798
hobby	0.0463679
"sick pay"	0.0460548
"piece of work"	0.046039
"dance band"	0.0459125
instrumentalist	0.0456976
appetizer	0.0456367
"role model"	0.0455007
"Top @@@"	0.0453624
plaything	0.0453308
accoutrement	0.0451938
tip-off	0.0448343
no-brainer	0.0445712
stapler	0.0443992
"three pitchers"	0.0443304
"musical instrument"	0.044114
jeremiad	0.0440025
memento	0.0439816
"savings bond"	0.0437952
iMacs	0.0437722
"guitar player"	0.043711
benediction	0.0436431
Hoe	0.0435341
accolade	0.0434813
"piece of music"	0.0434306
Cognac	0.0434275
Cabernet	0.0433456
"military attache"	0.0433078
"opening line"	0.0432224
Lullaby	0.0430109
"milk cow"	0.0429231
tequila	0.042768
harangue	0.0425308
"prescription medicine"	0.0424904
"positive feedback"	0.0424412
"loaf of bread"	0.0424032
"love letter"	0.0423897
"RM@@,@@@"	0.0422276
"hundred thousand dollars"	0.0421676
"E mail"	0.0421531
"peace of mind"	0.0421416
"margin call"	0.0420497
"round-trip ticket"	0.0420438
sendoff	0.0418406
emulator	0.0418361
"death benefit"	0.0418334
nonevent	0.0418324
gadget	0.041764
oomph	0.0417576
"annual payment"	0.0415661
entree	0.0415097
"bear hug"	0.0414324
gratuity	0.0410585
"retirement benefit"	0.0410162
exoneration	0.0409266
commendation	0.040583
"knockout punch"	0.0405824
"Pinot noir"	0.0405461
"punch line"	0.0403715
"starting time"	0.0402995
"thousand dollars"	0.0402296
copier	0.0402145
"puppet show"	0.0401517
Wheaties	0.04015
dessert	0.0400607
))
("Christmas present" (desc 3658.95) (sims
"birthday gift"	0.199443
"birthday present"	0.194035
"Christmas gift"	0.178693
"speeding ticket"	0.0934431
"warning signal"	0.0750576
smooch	0.0733179
"bus ticket"	0.072343
send-off	0.0695135
anticlimax	0.066594
fillip	0.0663932
"breathing room"	0.0658349
"all clear"	0.064495
counterbid	0.0636146
"piece of work"	0.0635423
menorah	0.0607988
disservice	0.0605471
"plane ticket"	0.0603161
"second tour"	0.0592721
"swan song"	0.0592092
"membership card"	0.0591147
sendoff	0.0589154
"birthday card"	0.0587601
no-brainer	0.0586309
compliment	0.0585394
comeuppance	0.0584948
freebie	0.0580353
souvenir	0.0579411
"round of golf"	0.0578903
"round-trip ticket"	0.0567924
"knockout punch"	0.0563076
epitaph	0.0562589
"clean slate"	0.0561518
"ad blitz"	0.0558529
"bear hug"	0.055774
dishonor	0.0555371
"great year"	0.0552823
"time of day"	0.0552456
"peace of mind"	0.0552212
"role model"	0.0546628
"fresh start"	0.0545232
cakewalk	0.0540439
telemarketer	0.0538433
"airplane ticket"	0.0536273
"frame of mind"	0.0535461
"sour grapes"	0.0535438
inducement	0.0533246
"word of advice"	0.0531023
"equity stake"	0.0528843
babysitter	0.0526607
"health insurance"	0.0526143
plaything	0.0524099
inkling	0.0523891
"bill of health"	0.052159
"seal of approval"	0.0520224
"hot potato"	0.0519497
zinger	0.0518785
"cold shoulder"	0.0517742
"quick fix"	0.0516654
"piece of furniture"	0.0515361
"positive feedback"	0.0514893
"guardian angel"	0.0511666
toehold	0.0510487
"Christmas card"	0.0508349
"coaching job"	0.0508178
"retirement benefit"	0.0507368
pity	0.0506247
"marriage proposal"	0.050567
"quality of life"	0.0505624
"race horse"	0.0505044
"fishing license"	0.0504288
punchline	0.0503863
"measuring stick"	0.0503741
"tax deduction"	0.0501264
"piggy bank"	0.049983
earful	0.0498058
"eye opener"	0.0497224
Emmy	0.049593
"piece of land"	0.0495084
homecoming	0.0494798
"season ticket"	0.0494649
nonevent	0.0494239
"civic duty"	0.0491956
dowry	0.0491127
playroom	0.0490559
"breathing space"	0.049032
"medical care"	0.04897
"fund-raising campaign"	0.0488128
daycare	0.048663
"personal appeal"	0.0485235
lifeline	0.0485089
windfall	0.0485083
"time of year"	0.048451
"short shrift"	0.048413
"pain in the neck"	0.0483193
bonanza	0.0482777
"moral obligation"	0.0480875
"three pitchers"	0.048009
mammogram	0.0480045
"order form"	0.0479816
"engagement ring"	0.0478747
"parking ticket"	0.0478504
"tax benefit"	0.0477509
"black eye"	0.0477396
exoneration	0.047664
candy	0.0476218
"day of rest"	0.0475356
feeler	0.047523
"nearly $@@,@@@"	0.0473929
"child care"	0.0471408
"popularity contest"	0.047116
"business card"	0.0470804
"insurance policy"	0.047052
sitter	0.0470367
"road map"	0.0469341
memento	0.0469304
soulmate	0.0469219
fruitcake	0.0467771
"hard sell"	0.0467735
crapshoot	0.0467065
"goose bumps"	0.0466243
"progress report"	0.0465581
"E mail"	0.0464702
"teddy bear"	0.0464505
"tall order"	0.0464427
checkup	0.0464398
"trial balloon"	0.0464242
"morale booster"	0.0463198
catharsis	0.0462903
mammograms	0.0462842
knighthood	0.0462463
validation	0.0461169
prosthesis	0.0460395
"golden parachute"	0.0459701
"smoke screen"	0.0459241
hobby	0.0459098
speller	0.0458467
travesty	0.0457668
"ball club"	0.045732
"guitar player"	0.0456291
"nest egg"	0.0456194
Mulligan	0.0455524
"death warrant"	0.0455304
sledding	0.0455131
enticement	0.0453598
wristband	0.045334
"elbow room"	0.045334
conundrum	0.0453209
"power of attorney"	0.0452628
"death knell"	0.0452521
breather	0.0452032
"picture book"	0.0451476
"boarding pass"	0.0451192
foothold	0.0450623
tutoring	0.0450359
"credit report"	0.0450134
up-and-down	0.0450097
bequest	0.0448748
Catch-@@	0.0448595
"marriage license"	0.0446102
well-suited	0.0445913
vindication	0.0444378
schooling	0.0443955
facelift	0.0443054
errand	0.0442008
Awakening	0.0441783
screwball	0.0440621
"test case"	0.0439762
mitzvah	0.0439596
"greeting card"	0.0438621
nourishment	0.0438515
"day care"	0.0438328
oomph	0.0437791
reprieve	0.0437461
goody	0.0436758
postcard	0.0435876
"hiding place"	0.0435342
"tax credit"	0.0435158
molar	0.0435153
"wage increase"	0.0434543
largess	0.0434529
"form letter"	0.0433677
"blank check"	0.043334
analogue	0.0433279
go-round	0.0432723
enquiry	0.0432396
sloop	0.0431064
postmark	0.0430231
"won-lost record"	0.0428614
pleaser	0.0428111
knuckleball	0.0427713
anagram	0.0426713
"money order"	0.0426199
goosebumps	0.0425559
"frame of reference"	0.0425021
breadwinner	0.0424688
pasty	0.0423856
"God's Will"	0.0423772
aperitif	0.04234
icicle	0.0423258
"a few lines"	0.0422944
))
(Christmases (desc 1033.14) (sims
"Ryder Cups"	0.159908
"Final Fours"	0.154531
postseasons	0.142244
seasons.	0.141129
Opens	0.136457
"hundred years"	0.130629
starts.	0.117125
runnings	0.11672
years.	0.107083
"Super Bowls"	0.105502
"All-Star Games"	0.101139
"British Opens"	0.099726
"No. @s"	0.0947979
"U.S. Opens"	0.0933333
"Pro Bowls"	0.092372
games.	0.0917116
"World Cups"	0.0916116
near-misses	0.0913633
curveballs	0.0878967
great-grandchildren	0.0878308
QBs	0.0859706
"PGA Championships"	0.0835695
ballgames	0.0808857
yea	0.0790107
millennia	0.0765483
tacklers	0.0748892
downturns	0.0741605
no-decisions	0.0736664
firsts	0.073418
pluses	0.0709428
"New York Republicans"	0.0700426
shootouts	0.069571
year.	0.0688108
"working day"	0.0684838
"business cycle"	0.0677517
Kansan	0.0669078
midshipmen	0.0666949
meltdowns	0.0657799
"Gold Gloves"	0.0649338
oxen	0.0649301
faceoffs	0.064928
ism	0.0647642
"close call"	0.0644671
"Cy Young Awards"	0.064212
"hundred thousand dollars"	0.0641313
"fatal accident"	0.0641019
girlhood	0.0638918
militarist	0.0635524
"two pitchers"	0.0631161
"academic year"	0.062965
changeups	0.0626622
internationals	0.0625072
"Stanley Cups"	0.0620539
"great year"	0.0617662
Irishmen	0.0615576
insincerity	0.0614563
"police state"	0.0614008
"million yuan"	0.0607587
combing	0.0602312
Sundays	0.0602208
takeaways	0.0602077
tenths	0.0601137
cantata	0.0599948
layups	0.0599945
whistleblowers	0.059756
misadventure	0.059572
co-leaders	0.0594306
"takeover attempt"	0.0592696
iteration	0.0592334
"foul shot"	0.059136
get-togethers	0.0590304
"hundred miles"	0.0589329
crewmembers	0.0587327
goaltenders	0.0587121
rebounders	0.0586316
"extracurricular activity"	0.0585098
inductees	0.0583589
off-day	0.0582562
Humvees	0.0577283
gliding	0.0570512
"road game"	0.0568896
winters	0.0563272
businesswomen	0.0560907
crawling	0.0560134
"base runner"	0.0554841
one-seventh	0.0554714
co-chairs	0.0554271
upperclassmen	0.0551503
"fire drill"	0.0551236
"major league season"	0.055076
"major-league team"	0.0549842
"bear market"	0.054902
skiiers	0.0544819
"hundred million dollars"	0.0542375
run-in	0.0542233
matchups	0.0540631
playmakers	0.0540411
"woman's body"	0.0534299
"Texas Democrats"	0.0533438
"trading session"	0.0532567
honoree	0.0532463
"old times"	0.0531973
greats	0.0531156
go-round	0.052992
"Subway Series"	0.0529275
intangible	0.0527757
"ball game"	0.0527658
Advil	0.0521482
"word of advice"	0.052087
timeouts	0.0519958
"hundred dollars"	0.0518338
Klansmen	0.0517363
weirdo	0.0517361
highflier	0.051457
wideouts	0.0511618
"foul ball"	0.0509181
skydiver	0.0508575
"bank failure"	0.050791
"Special Economic Zones"	0.0507746
waking	0.0504321
cockiness	0.0503661
hotspots	0.0503601
bogy	0.0502109
sleepovers	0.0500401
"Baby Bells"	0.0500045
spacewalks	0.0499439
hypotheses	0.0497978
"city block"	0.0497819
vote-getters	0.0497682
"three pitchers"	0.0496076
quarterfinalists	0.0491223
outbuilding	0.0490448
"Hurricane Hugo"	0.0488208
"hundred yards"	0.0487557
Englishmen	0.0482694
All-Americans	0.0481095
"hard times"	0.0480465
"ball club"	0.0479951
"loose end"	0.0479681
Furbys	0.0478887
"Law Lords"	0.0478103
technicals	0.0477988
"thousand dollars"	0.0477614
tractor-trailers	0.0476384
Ferraris	0.0476263
"tour of duty"	0.0474109
memoranda	0.0472398
shipmate	0.0471476
"agenda item"	0.0470026
bloke	0.046955
frolic	0.046925
zingers	0.046923
airmen	0.0469058
prong	0.0466745
"calendar year"	0.0466533
tranches	0.0465986
"San Franciscans"	0.046462
percussionist	0.046435
Frenchmen	0.0462959
"Howdy Doody"	0.0462691
refusals	0.0462483
bereavement	0.0462466
flashpoints	0.046108
crewmates	0.0459547
parquet	0.0459516
schemer	0.0458175
handshaking	0.0457919
baserunners	0.045771
factoids	0.0457675
major-leaguers	0.0457454
Midwesterners	0.0456691
Trollope	0.0456402
eateries	0.0455763
"early childhood"	0.0454344
kindergartners	0.0454256
"work day"	0.0453793
fundraisers	0.0453576
season.	0.0453556
sunbather	0.0452989
three-pointers	0.0452466
"baseball season"	0.0451921
"New York Democrats"	0.0451596
gal	0.0450916
poking	0.0448167
townsfolk	0.0447329
par-@s	0.0447326
Strauss-Kahn	0.0447325
"extra points"	0.0446778
"trillion dollars"	0.0446608
Cadillacs	0.0444891
"the good old days"	0.0444231
caldron	0.044382
mauve	0.0443148
"supporting players"	0.0442801
"leisure time"	0.0441334
finds	0.0440851
"sparring partner"	0.0440721
"Iraqi POWs"	0.0440143
multimillionaires	0.0437925
determinations	0.0437638
))
(Christmastime (desc 1615.26) (sims
bedtime	0.0529602
"Andrews Air Force Base"	0.0514574
Monticello	0.0491465
"critical point"	0.0484603
"National Zoo"	0.0466877
"Villa Park"	0.0445775
pre-Christmas	0.0440373
"Metropolitan Opera"	0.0436807
lunchtime	0.0430231
earliest	0.0421183
"Jewish Community Center"	0.0418035
"Olympic Trials"	0.0417346
"Waldorf-Astoria Hotel"	0.0408337
"St. Patrick's Day"	0.0400872
))
(Christo (desc 1140.66) (sims
"Diego Rivera"	0.0931627
"Chris Ofili"	0.0771063
"Laurie Anderson"	0.0727047
"Georgia O'Keeffe"	0.0666062
"John Kelly"	0.0652688
"Salvador Dali"	0.0604789
Jorgensen	0.0599708
Mckee	0.0598787
Rodin	0.0579051
"Francis Bacon"	0.0572569
Finkel	0.0553738
Grammer	0.0553324
"spy satellite"	0.0550888
Norte	0.0547295
"Roy Lichtenstein"	0.0542574
orb	0.052386
Borodin	0.0520719
"police boat"	0.0515748
"Phil Collins"	0.0513948
Conroy	0.0504994
Brewster	0.050172
Guerra	0.0491777
Villar	0.049135
Hine	0.0489451
Bing	0.0484979
pashmina	0.0484047
"Kris Clack"	0.0481897
Marco	0.0479258
"Twentieth Century"	0.047839
"Norman Rockwell"	0.0474831
Valle	0.0469416
"Cindy McCain"	0.0467856
Coolio	0.0467305
Corcoran	0.0466147
Michelangelo	0.0465183
Butterfield	0.0464747
Barlow	0.0456884
Reiter	0.0456696
Weil	0.045646
Kraus	0.0446982
Hitchens	0.0430658
Lundy	0.0430477
Atkins	0.0430432
"Stan Lee"	0.0429447
Tubbs	0.0428776
Gerald	0.0428191
esthetics	0.0428181
"piece of cloth"	0.0427984
Capps	0.0427824
Rosario	0.0427503
Caravaggio	0.0426808
Bullard	0.0425359
Morley	0.0422535
Rhonda	0.0421838
Quay	0.0418475
paparazzi	0.0418297
"Ante Razov"	0.0417347
Razorback	0.0414661
Chouinard	0.0414555
Rais	0.0412759
"Claude Monet"	0.0411465
Pierre	0.0406777
"Red Star"	0.0404232
GEF	0.0403856
"John Kennedy Jr."	0.040355
Lind	0.0403198
Giacometti	0.0403023
BNFL	0.0402555
))
("Christophe Dugarry" (desc 2441.87) (sims
"Thierry Henry"	0.254308
"David Trezeguet"	0.229366
"Lilian Thuram"	0.195267
"Emmanuel Petit"	0.191391
"Robert Pires"	0.187443
"Fabrizio Ravanelli"	0.183548
"Youri Djorkaeff"	0.175742
"Laurent Blanc"	0.174439
"Hao Haidong"	0.170691
"Ulf Kirsten"	0.167872
"Harry Kewell"	0.163895
"Nicolas Anelka"	0.159485
"Stan Collymore"	0.149512
"Fabien Barthez"	0.147135
"Alen Boksic"	0.145922
"Predrag Mijatovic"	0.145874
"Pierluigi Casiraghi"	0.145565
"Dennis Bergkamp"	0.142846
"Tore Andre Flo"	0.139604
"Ian Wright"	0.139129
"Cindy Parlow"	0.13241
"Roy Lassiter"	0.12746
"Sun Wen"	0.126512
"Paolo Di Canio"	0.1262
Djorkaeff	0.12427
"Robbie Fowler"	0.123836
"Marcelo Salas"	0.123526
"Gheorghe Hagi"	0.122519
"Patrick Kluivert"	0.12187
"Stern John"	0.121513
"Hernan Crespo"	0.120174
"Shannon MacMillan"	0.120093
"Christian Vieri"	0.119188
"Adrian Ilie"	0.119081
"Carlos Hermosillo"	0.118005
"Brian McBride"	0.117928
"Ante Razov"	0.115941
"Khodadad Azizi"	0.115937
"Brian Laudrup"	0.114467
"Davor Suker"	0.114291
"Teddy Sheringham"	0.11377
"Zinedine Zidane"	0.11319
"Hristo Stoichkov"	0.113136
"Didier Deschamps"	0.111668
Juninho	0.11103
"Raul Diaz Arce"	0.110275
"Oliver Bierhoff"	0.109686
Anelka	0.108716
"Tiffeny Milbrett"	0.108484
"Faustino Asprilla"	0.105865
"Eric Cantona"	0.105642
"Michael Owen"	0.103707
Piero	0.102724
Edmundo	0.102032
"Dejan Savicevic"	0.100437
"Juergen Klinsmann"	0.100345
"Gianluca Vialli"	0.100134
Romario	0.0981965
"Claudio Lopez"	0.097557
"Alessandro Del Piero"	0.0974406
"Nwankwo Kanu"	0.0969701
"Luis Hernandez"	0.0969695
"Roberto Baggio"	0.0951667
"Bixente Lizarazu"	0.0939218
"Rebecca Lobo"	0.0937998
"Dejan Stankovic"	0.0930888
"George Weah"	0.0916595
Asprilla	0.0915436
"Gabe Muoneke"	0.0914918
"Paul Scholes"	0.0908697
"Gabriel Batistuta"	0.0897833
"Raul Gonzalez"	0.0889638
"Joe-Max Moore"	0.088721
"Jorge Campos"	0.0887034
"Jarvis Turner"	0.0875953
"Alan Shearer"	0.0872946
"Ivan Zamorano"	0.0865416
"Ole Gunnar Solskjaer"	0.0864408
"Bobby Phills"	0.0861431
"Paul Merson"	0.0854598
"Mario Stanic"	0.0853208
"Eric Wynalda"	0.0850014
"Enrico Chiesa"	0.0849387
"Hidetoshi Nakata"	0.0848517
Welton	0.0845924
"Ariel Ortega"	0.0835247
"Wang Tao"	0.0827334
"Ali Daei"	0.080746
Suker	0.0802405
"Richard Jefferson"	0.0796838
"Fan Zhiyi"	0.0796226
"Patrick Vieira"	0.0792889
Bergkamp	0.0786641
"Edgar Davids"	0.0786026
"Roy Keane"	0.07809
Petit	0.0778215
"Phillip Cocu"	0.0770799
"Dwight Yorke"	0.0765961
"Alexei Kovalev"	0.076325
"Filippo Inzaghi"	0.07626
"Diego Maradona"	0.0756216
Batistuta	0.0755752
"Ryan Kealy"	0.0751396
"Antawn Jamison"	0.0749241
"Kurt Thomas"	0.074536
"Ziggy Palffy"	0.0740483
"Sheryl Swoopes"	0.07378
"David Beckham"	0.0727391
"Hu Weidong"	0.0723108
"Alan Henderson"	0.0722087
"Steve McManaman"	0.0718378
"Marcel Desailly"	0.0717592
"Michelle Akers"	0.0717163
"Clint Mathis"	0.0715789
"Rodney Rogers"	0.0708677
"Don Maclean"	0.0700504
"Chris Porter"	0.0699546
"Marc Overmars"	0.0698855
"Derrick Coleman"	0.06975
"Chris Carrawell"	0.0696224
Denilson	0.0694454
"Gianfranco Zola"	0.0693846
"Cobi Jones"	0.0693498
"Keith Tkachuk"	0.0692413
Pippig	0.0686681
"Mauricio Ramos"	0.0684174
Vidro	0.068388
"Christian Karembeu"	0.0682358
"Todd Harvey"	0.068152
Bebeto	0.068136
"Billy Owens"	0.0680411
"Jeremy Roenick"	0.0679361
"Robert Prosinecki"	0.067803
"Lamond Murray"	0.0675115
"Alexander Mogilny"	0.0674901
"Michael Finley"	0.0667786
"Jaren Jackson"	0.0665948
Kluivert	0.0665284
"JaRon Rush"	0.0664373
"Kenyon Martin"	0.066301
"CORIE BLOUNT"	0.0661931
"Tab Ramos"	0.0660788
Ronaldo	0.0657988
"Jerome Kersey"	0.0657848
"Rick Fox"	0.0657639
"Jamie Langenbrunner"	0.0656922
"Bryon Russell"	0.0653992
"Darren McCarty"	0.0652163
"Raef LaFrentz"	0.0649966
"Luis Figo"	0.0647717
"Austin Croshere"	0.0644909
"Tamika Catchings"	0.0643892
"Miroslav Satan"	0.0641731
"Pierre Turgeon"	0.0640662
"Sam Clancy"	0.0638621
Vieri	0.0636465
"Brian Grant"	0.0633516
"John LeClair"	0.0633191
"Pavol Demitra"	0.0631513
"Cedric Ceballos"	0.0630009
"Donyell Marshall"	0.0629574
"Jennifer Gillom"	0.0628913
"Andy Cole"	0.0628674
"Chris Gatling"	0.0627078
"Anthony Mason"	0.0626687
"Keith Van Horn"	0.0625712
"Kristine Lilly"	0.062365
"Juwan Howard"	0.0623578
"Bobby Newcombe"	0.0620651
"Teemu Selanne"	0.0620471
"Bill Guerin"	0.0619914
"Grant Long"	0.0616773
Owen	0.0615296
"Geoff Sanderson"	0.0615072
"Trent Green"	0.0614823
"Dale Davis"	0.061201
"Rick Tocchet"	0.0610821
"Morris Peterson"	0.0606799
"Sean Elliott"	0.060649
"Bonzi Wells"	0.0603091
Rivaldo	0.060278
"Jamal Mashburn"	0.0602769
"Brian Scalabrine"	0.0601642
Sissi	0.0600214
"Mia Hamm"	0.0598999
"Sergei Fedorov"	0.0597156
"Horace Grant"	0.0595804
"Jamal Lewis"	0.059378
"Tyrone Nesby"	0.0592866
Ince	0.059206
"Clifford Robinson"	0.0591516
"Tony Massenburg"	0.0589649
"Eric Lindros"	0.0588512
"Matt Bullard"	0.0587891
"Marcus Fizer"	0.0584
"Corliss Williamson"	0.0580944
"Nick Anderson"	0.0577789
"Gary Roberts"	0.0576283
"Dallas Drake"	0.057612
"Tom Gugliotta"	0.0571644
))
(Christopher (desc 15642.1) (sims
"de Charette"	0.157283
Albright	0.136259
Shareh	0.131788
Ikeda	0.130547
Komura	0.129614
Pangalos	0.127525
Cem	0.122455
Siazon	0.122285
Khaddam	0.121351
Chirac	0.120812
Rifkind	0.120028
Gaddafi	0.119967
Moussa	0.119908
Kharrazi	0.119318
Nzo	0.118668
Kinkel	0.11785
Wolfensohn	0.117063
Goh	0.116824
Stoyanov	0.116732
Dini	0.114772
Nicholas	0.114493
Kabariti	0.114477
Ross	0.113136
Demirel	0.113089
Nujoma	0.112413
Velayati	0.112228
Santer	0.111936
Moratinos	0.111038
Boueiz	0.111034
Constantinescu	0.11011
Joshua	0.108627
Mubarak	0.10835
Axworthy	0.107975
Solana	0.107641
Qian	0.107376
Aziz	0.10733
Azad	0.107272
Matthew	0.107134
Ahtisaari	0.107114
Ivanov	0.107072
Mkapa	0.10657
Talbott	0.105763
Lahoud	0.105655
Abdullah	0.105422
Jonathan	0.105306
Cohen	0.105154
Guterres	0.104549
"Dennis Ross"	0.103342
Chris	0.10288
Primakov	0.102525
William	0.102411
Anthony	0.102384
Vedrine	0.102313
Koo	0.102056
Brahimi	0.101705
Chissano	0.100451
Barshefsky	0.100411
Phieu	0.10013
"William Cohen"	0.100126
"Than Shwe"	0.0999537
al-Sharaa	0.0999148
Weizman	0.0999133
Kasoulides	0.0997158
Zhu	0.0997038
Chavalit	0.0996021
Sergeyev	0.0995457
Niyazov	0.0993219
Holbrooke	0.0985005
"William Perry"	0.0982445
Qiao	0.0981178
Scalfaro	0.0979214
Patrick	0.0978962
Rakhmonov	0.0977942
Chiluba	0.0968986
Richard	0.09687
Blair	0.096588
Annan	0.0964609
"King Abdullah"	0.0963623
David	0.0962678
Granic	0.096161
Nazarbayev	0.0961453
Lipponen	0.0960643
Hariri	0.0958296
Peres	0.0956134
Hashimoto	0.0952699
"Jordanian King Abdullah Bin Hussein"	0.0952686
Ecevit	0.0952305
al-Assad	0.0950881
Clerides	0.0949004
Hrawi	0.0948086
Brian	0.0945655
Vollebaek	0.0943638
Chretien	0.0943026
Kim	0.0939971
Daniel	0.0937522
"Li Peng"	0.0936796
Jiang	0.0936389
Robert	0.0933156
Dehaene	0.0931889
al-Sahhaf	0.0931807
Hassan	0.093145
Mbeki	0.0929832
Arafat	0.092531
Muluzi	0.0924808
Michael	0.0924689
Kuchma	0.0922301
Mandela	0.0913109
Gujral	0.0912495
Andrew	0.0910121
Hasina	0.0907817
Fischer	0.0906951
Jayakumar	0.0906859
Joseph	0.0903559
Daley	0.0903116
Surin	0.0903011
Chuan	0.089987
Klima	0.0896645
Kostov	0.0895729
Majali	0.0891382
Edward	0.0890005
Ogata	0.0885747
Tung	0.0884206
Luong	0.0883839
"Valery Pustovoitenko"	0.0883627
Prodi	0.0880929
perry	0.0880224
Downer	0.0879675
"Mesut Yilmaz"	0.0879339
Pickering	0.087839
Juncker	0.0875057
Hu	0.0874778
"Jordanian King Hussein"	0.0874644
Karimov	0.0872006
Zou	0.0871702
"King Hussein"	0.08716
Museveni	0.0871221
Banharn	0.0871218
Frei	0.0870846
el-Ganzouri	0.0863244
Carl	0.0863073
Assad	0.0862237
Sharon	0.0862059
D'Alema	0.0861974
Kyle	0.0860542
"Javier Solana"	0.0859625
Jeffrey	0.085885
Ben-Ami	0.0855413
"Jose Maria Aznar"	0.0854585
Camdessus	0.0854199
Schroeder	0.0853112
Sharif	0.0852979
Vajpayee	0.0850711
Abdel-Meguid	0.084965
Kok	0.0849062
Erbakan	0.0848976
Sumaye	0.0846306
Alatas	0.08454
Chernomyrdin	0.0844234
Menem	0.0844199
James	0.0843791
Ikimi	0.0843621
Shevardnadze	0.0842351
"Necmettin Erbakan"	0.0840989
Lukashenko	0.0838185
Abubakar	0.0838146
Pustovoitenko	0.0837772
"secretary of state"	0.0837066
Wahid	0.0835381
Hussein	0.0832046
tang	0.0831908
"Romano Prodi"	0.0830173
Philip	0.082907
Aznar	0.0829052
Jospin	0.0828627
"Goh Chok Tong"	0.0826758
"De Soto"	0.0826736
"Phan Van Khai"	0.0824103
Steven	0.0823477
Saleh	0.0822691
Paul	0.0821675
Kevin	0.0819545
Herzog	0.0818869
Trevor	0.081765
Craig	0.0813424
"Vo Van Kiet"	0.0812961
Akayev	0.0808387
Meguid	0.0807415
Brittan	0.0806544
Zachary	0.080184
"Chuan Leekpai"	0.0794106
"John Paul"	0.0793376
Mordechai	0.079322
Alex	0.0793151
Peter	0.07906
Mori	0.0790532
Tsang	0.0788232
Alan	0.0787879
Diouf	0.0787577
Wu	0.0787433
Fu	0.0787287
))
("Christopher Columbus" (desc 1825.22) (sims
"Confederate soldier"	0.0905842
"de Charette"	0.0896227
"Marco Polo"	0.0872733
"La Salle"	0.0865864
self-discovery	0.0856657
Shackleton	0.0847729
"Sam Houston"	0.0816025
"Ulysses S. Grant"	0.081431
"Neil Armstrong"	0.0775758
"Douglas MacArthur"	0.0745009
"Hurricane Bonnie"	0.0738549
"Karl Marx"	0.0691824
planeload	0.0651863
"Albert Einstein"	0.0650049
Brahimi	0.0648199
"Benjamin Franklin"	0.0639946
Apaches	0.0635382
Prado	0.0633851
"Prophet Mohammed"	0.0626489
"Robert E. Lee"	0.062645
"John Glenn"	0.0608152
"Winston Churchill"	0.0606933
Rifkind	0.0600088
Moses	0.0598507
Blackman	0.0597864
"John Paul II"	0.0591741
"Franklin Delano Roosevelt"	0.0578859
"Holland America"	0.0575452
Mitterrand	0.057355
planeloads	0.057317
"Thomas Jefferson"	0.0568962
Moratinos	0.0565408
Sahnoun	0.0564263
Eisenhower	0.0559652
"Charles de Gaulle"	0.0559524
"Frederick Douglass"	0.0556227
Ekeus	0.0553354
deportee	0.0550877
"American plane"	0.0548489
"Jackie Robinson"	0.05478
"George Washington"	0.0547738
al-Sahaf	0.0541739
Guevara	0.054026
Sakyamuni	0.0539633
"sea captain"	0.0536051
Acadian	0.0533002
"knockout punch"	0.0532557
Gaddafi	0.0530358
Airness	0.0526831
Barshefsky	0.0524288
Ceballos	0.0522543
Avila	0.0521513
emigrant	0.0520411
Moseley-Braun	0.0518626
Ahtisaari	0.0514632
Jorgensen	0.0510583
passerby	0.0509558
whaler	0.050943
"Prime Minister Banharn Silpa-Archa"	0.0509076
Iliescu	0.0506977
Confucius	0.0506653
"John Paul"	0.0506264
"Queen Elizabeth II"	0.0505971
Primeau	0.0504603
Uliassi	0.0503945
boatload	0.0503447
"census taker"	0.0502558
Magellan	0.0502308
pontiff	0.0501573
"Walter Zenga"	0.049926
Daley	0.049411
"Jim Harrick"	0.0493027
Kuhn	0.0492828
Karmapa	0.0492573
Admiral	0.0490539
Sihanouk	0.049001
puritan	0.04878
Stoyanov	0.0483363
Nujoma	0.0481726
Sather	0.048109
"Simon Bolivar"	0.0480994
"Felix Potvin"	0.0478603
Whiting	0.0478579
"Theodore Roosevelt"	0.0477381
COSCO	0.0475989
"Harry Truman"	0.0475749
"civil rights leader"	0.047271
Khaddam	0.0471561
non-Muslims	0.0470391
Hickey	0.0470081
Zenga	0.0470065
"passenger ship"	0.0469473
"game warden"	0.046934
Klestil	0.0468239
Hemings	0.0467901
Hawaiians	0.0466728
Galileo	0.0466717
Velayati	0.0466444
Stackhouse	0.0465321
Yagudin	0.046528
"Jerry Garcia"	0.0463451
Napoleon	0.0463447
Sheedy	0.0459282
Daigle	0.0458578
Beye	0.0458059
"Dennis Ross"	0.0457263
Barrasso	0.0457073
Ghosn	0.0456986
Constantinescu	0.0456955
"King Bhumibol Adulyadej"	0.0456381
Goff	0.0451038
holidaymaker	0.0450955
Goethe	0.0449186
Yassin	0.0448858
"Andrew Jackson"	0.0446148
Costin	0.0445703
"Than Shwe"	0.0445148
Gores	0.0444954
Rosenblatt	0.0444673
"Robert Livingston"	0.044373
drake	0.0442744
Reiter	0.0442719
B-@s	0.0440327
Sampaio	0.0439134
"Chavalit Yongchaiyudh"	0.043881
"dock worker"	0.0438736
"Queen Victoria"	0.0438509
"Flight @@@@"	0.0438453
"rich man"	0.0438295
Scalfaro	0.0438217
Xiong	0.0438109
SEPA	0.0438016
Phieu	0.043769
"USS Enterprise"	0.0437341
Sumaye	0.0436333
"Mars Polar Lander"	0.0436036
Marchand	0.0435445
Dudayev	0.0435438
"Abraham Lincoln"	0.043506
Brittan	0.0434551
Yandarbiyev	0.0434292
Pryor	0.0433892
skydiver	0.0433162
Israelites	0.0433084
"Boutros Boutros Ghali"	0.0432843
"Randall Simon"	0.043262
Al-Faisal	0.0432589
colonist	0.0432458
Kharrazi	0.0431561
Shareh	0.0429887
"Andrea Gail"	0.0429672
Frei	0.0429111
Schlichtmann	0.0428386
Philbin	0.0427956
Ganzouri	0.0427039
"Lou Holtz"	0.0426878
"James Madison"	0.0426738
"Richard C. Holbrooke"	0.0425883
"Kim Il Sung"	0.0425813
"Sally Hemings"	0.0425477
Indyk	0.0425353
"Victor Chernomyrdin"	0.0425329
Romar	0.0424657
"Martin Luther"	0.0424071
Santer	0.0423938
Cliburn	0.0423866
"Albanian Kosovars"	0.0423493
Ince	0.042316
Lafleur	0.0422634
"grim reaper"	0.0421519
Tatis	0.0421393
Lange	0.0420338
Koresh	0.0420054
Pustovoitenko	0.0419954
VISTEON	0.0418509
Churchill	0.0417139
Wolfensohn	0.0416633
Fiorina	0.0416576
"Zhou Enlai"	0.0416539
Hekmatyar	0.0415937
Kagame	0.0415769
Bret	0.0415499
Malpensa	0.0415308
"Truth Commission"	0.041453
cannonball	0.0414445
Barzani	0.041434
"Pope John Paul"	0.0413718
Padilla	0.0413525
Lenin	0.0413322
Bellamy	0.0412636
"aircraft carrier"	0.0412634
starling	0.0411843
Garang	0.0411788
Cem	0.0411153
Krall	0.0410681
Liston	0.041045
Muluzi	0.041016
"Louis XIV"	0.0409989
Atlantis	0.0409813
infantrymen	0.0408923
))
("Christopher Cox" (desc 2860.19) (sims
"David Dreier"	0.356277
"Bill Thomas"	0.335451
"Tom Campbell"	0.282121
"Lamar Smith"	0.262652
"Mary Bono"	0.262212
"James Rogan"	0.23687
"Henry Waxman"	0.200165
"George Miller"	0.196261
"Charles Canady"	0.184133
"Dan Miller"	0.180047
"Christopher Smith"	0.179841
"Maxine Waters"	0.179695
"Nancy Pelosi"	0.174907
"Jerry Lewis"	0.170304
"Jim Kolbe"	0.167704
"Christopher Shays"	0.167314
"Bill Archer"	0.166977
"Dan Burton"	0.165666
"John Conyers"	0.164355
"George Gekas"	0.16276
"Steve Largent"	0.1587
"Porter Goss"	0.156267
"Ed Bryant"	0.155734
"Charles Rangel"	0.155236
"Jim Leach"	0.151404
"Ron Paul"	0.151061
"Curt Weldon"	0.14673
"Peter King"	0.14596
"Chris Patten"	0.145596
"Bill McCollum"	0.145539
"Barney Frank"	0.143872
"Zoe Lofgren"	0.142654
"Jerrold Nadler"	0.141322
"Benjamin Gilman"	0.141309
"John Boehner"	0.141087
"Charlie Norwood"	0.140998
"Jim McDermott"	0.140872
"Norm Dicks"	0.140483
"Mark Foley"	0.139768
"Bob Barr"	0.138383
"J.C. Watts"	0.137943
"Loretta Sanchez"	0.137903
"Jennifer Dunn"	0.137206
"Bernard Sanders"	0.137173
"Mark Sanford"	0.135771
"John Dingell"	0.134289
"Jose Serrano"	0.132492
"Lee Hamilton"	0.131007
"Matt Salmon"	0.128688
"Martin Meehan"	0.127872
"Tom Coburn"	0.125675
"Jack Quinn"	0.122936
"Rick Lazio"	0.12244
"Bob Franks"	0.12207
"Carolyn McCarthy"	0.121759
"Lindsey Graham"	0.120423
"Tony Coelho"	0.120413
"Dick Pound"	0.119175
"Chris Smith"	0.118805
"Charles E. Schumer"	0.118224
"Asa Hutchinson"	0.117691
"John Lewis"	0.117024
"Henry Hyde"	0.116397
"James Sensenbrenner"	0.115518
"Deve Gowda"	0.115326
"Prime Minister Kamal El-Ganzouri"	0.114914
"Patrick Kennedy"	0.114641
"Lloyd Doggett"	0.114459
"Martin Frost"	0.114166
"Nancy Johnson"	0.112593
"Greg Ganske"	0.11222
"Ron Wyden"	0.110622
"George Mitchell"	0.110059
"Henry Bonilla"	0.109923
"Sherwood Boehlert"	0.109387
"George Nethercutt"	0.109348
"Billy Tauzin"	0.108218
"Archbishop Desmond Tutu"	0.107915
"John Linder"	0.106912
"Jim Bunning"	0.106859
"Sheila Jackson Lee"	0.106063
"Carolyn Maloney"	0.105313
"Linda Smith"	0.103728
"Adam Smith"	0.103
"Tom Davis"	0.102197
"John Breaux"	0.101802
"Nita Lowey"	0.100904
"Robert Livingston"	0.0983801
"Jim Turner"	0.0980756
"Don Young"	0.0967838
"Sonny Bono"	0.0964659
"John Sweeney"	0.0957636
"H.D Deve Gowda"	0.0954422
"Marge Roukema"	0.095112
"John Kasich"	0.0949376
"Tillie Fowler"	0.0947971
"Amo Houghton"	0.0940711
"Robert Menendez"	0.0938944
"Charles Stenholm"	0.0922725
"William Daley"	0.0917874
"Megawati Soekarnoputri"	0.0914399
"Fred Upton"	0.0895835
"Bob Livingston"	0.0887137
"Vaclav Klaus"	0.0880592
"Michael Forbes"	0.087838
"Dianne Feinstein"	0.0876159
"Amien Rais"	0.0875491
"Connie Morella"	0.0875153
"Steve Chabot"	0.0869653
"Wlodzimierz Cimoszewicz"	0.0868759
"Patty Murray"	0.086523
"Orrin Hatch"	0.0859149
"Chea Sim"	0.0854327
"Chief Executive Tung Chee-hwa"	0.0850852
"Charles Schumer"	0.0849403
"Jim Nicholson"	0.0845712
"Alexis Herman"	0.084159
"Sue Kelly"	0.0836803
"Herb Kohl"	0.0835392
"Begum Khaleda Zia"	0.083327
"Mitch McConnell"	0.0832717
"Tom DeLay"	0.0827739
"Richard Gephardt"	0.0820687
"John Conyers Jr."	0.0816006
"Charles Grassley"	0.081084
"Momir Bulatovic"	0.0804674
"Atef Obeid"	0.0802134
"Robert Rubin"	0.0799623
"Chavalit Yongchaiyudh"	0.0785851
Misuari	0.0785363
Wamba	0.0784746
"Arlen Specter"	0.0784511
"Dick Armey"	0.0782047
"Strom Thurmond"	0.0775258
"Warren Rudman"	0.0775195
"Jesse Helms"	0.0775119
"Charlene Barshefsky"	0.0773031
"Craig Thomas"	0.0772647
R-Alaska	0.0770365
"William Roth"	0.0767046
R-Calif.	0.0761028
R-La.	0.0760219
"Paul Coverdell"	0.0754556
"David Bonior"	0.0753425
"Robert Bennett"	0.0752764
McConnell	0.07342
"P.V Narasimha Rao"	0.0727434
"Patrick Leahy"	0.0724199
"Rafik Hariri"	0.0719002
"Huang Ju"	0.0717982
"George Speight"	0.0716784
"Pandeli Majko"	0.071557
"Richard Butler"	0.0714982
"Thad Cochran"	0.071478
"Fred Thompson"	0.0708396
"Tung Chee Hwa"	0.0707182
"Prime Minister Banharn Silpa-Archa"	0.0706586
"Sher Bahadur Deuba"	0.0706101
"Rick White"	0.0705603
Councilman	0.0703981
"Pete Domenici"	0.0703302
"Defense William Cohen"	0.0703002
"Hans Blix"	0.0702602
"Jack Kingston"	0.0700522
Ratliff	0.0699624
"Bob Smith"	0.069749
"John Cornyn"	0.0697163
"Richard Lugar"	0.0695149
"Necmettin Erbakan"	0.0694616
"Natan Sharansky"	0.0694383
"Dick Gephardt"	0.0690221
"National Security Adviser Sandy Berger"	0.069012
"Gerald Levin"	0.0687795
"Mark Green"	0.0686595
"Alan Greenspan"	0.0686411
R-N.M.	0.0683669
el-Ganzouri	0.0678416
"Henry Shelton"	0.0677749
"Inder Kumar Gujral"	0.0675962
"Binyamin Netanyahu"	0.0675264
"Marzuki Darusman"	0.0674739
"House Majority Whip Tom DeLay"	0.0673075
Hariri	0.0672204
"Michael Ovitz"	0.0668959
R-Ill.	0.0668486
"Kay Bailey Hutchison"	0.066764
"Mikulas Dzurinda"	0.0666953
"Shi Guangsheng"	0.0666802
"Benazir Bhutto"	0.0663673
Breaux	0.0663227
"Atal Bihari Vajpayee"	0.066057
"Robert Torricelli"	0.0658696
"Susan Molinari"	0.0658388
R-Del.	0.0648325
"Chief Secretary"	0.0646751
"Tomiichi Murayama"	0.0643577
"Kim Jong-pil"	0.0640494
"Girija Prasad Koirala"	0.0640323
"Richard Shelby"	0.0640207
"Ted Stevens"	0.0638562
))
("Christopher Dodd" (desc 4380.52) (sims
"Joseph I. Lieberman"	0.318209
"Bob Graham"	0.210837
"Evan Bayh"	0.205332
"John Breaux"	0.204603
"Joseph Lieberman"	0.202781
"John Kerry"	0.196104
"Robert Torricelli"	0.193261
"Patrick Leahy"	0.192922
"Frank Lautenberg"	0.187838
"Russell Feingold"	0.186368
"Barbara Mikulski"	0.185282
"Carl Levin"	0.185247
"John Edwards"	0.18514
"Paul Wellstone"	0.182508
"Dianne Feinstein"	0.180843
"Robert Bennett"	0.179614
"Bob Kerrey"	0.175627
"Joseph Biden"	0.173108
"Tom Harkin"	0.171661
"Joe Lieberman"	0.168952
"Herb Kohl"	0.16774
"Robert Byrd"	0.162484
"Russ Feingold"	0.161799
"Daniel Patrick Moynihan"	0.158449
"Gordon Smith"	0.157568
"Max Baucus"	0.15478
"Olympia Snowe"	0.154109
"Mitch McConnell"	0.15398
Dodd	0.153183
"Edward M. Kennedy"	0.152778
"Dick Durbin"	0.149931
"Edward Kennedy"	0.146868
"Charles Grassley"	0.145733
"Richard Bryan"	0.144944
"Arlen Specter"	0.139406
"Patty Murray"	0.137813
"Ron Wyden"	0.137202
"Tim Hutchinson"	0.135997
"Slade Gorton"	0.134036
"Jon Kyl"	0.132296
"Richard Durbin"	0.13219
"Ted Stevens"	0.131181
"Sam Brownback"	0.130953
"Susan Collins"	0.129382
"James Jeffords"	0.128832
"Olympia J. Snowe"	0.127771
"Judd Gregg"	0.127474
"Rick Santorum"	0.127203
"Max Cleland"	0.126586
"Sam Nunn"	0.125298
"Richard Lugar"	0.122
"Richard Shelby"	0.121951
"Paul Coverdell"	0.121029
"John Chafee"	0.120579
"John Warner"	0.120456
"Jeff Sessions"	0.119854
"Robert C. Byrd"	0.119452
"Pete Domenici"	0.118692
"Barbara Boxer"	0.118377
"Richard Blumenthal"	0.118352
"Spencer Abraham"	0.11806
"Harry Reid"	0.117031
"Ted Kennedy"	0.115129
"Mike DeWine"	0.114
"Mary Landrieu"	0.113978
"Tom Daschle"	0.113212
"Ernest Hollings"	0.109827
"John Ashcroft"	0.109269
"Larry Craig"	0.108863
"Kay Bailey Hutchison"	0.107953
"Dan Coats"	0.107521
"Frank Murkowski"	0.107009
"Jim Jeffords"	0.106282
"Bill Frist"	0.105903
"Conrad Burns"	0.105488
"Kent Conrad"	0.104628
"Phil Gramm"	0.10348
"Dale Bumpers"	0.101965
"Charles Schumer"	0.101131
"Warren Rudman"	0.100485
"Howard Baker"	0.0999952
"Charles E. Schumer"	0.0990296
"Byron Dorgan"	0.0986869
"James Inhofe"	0.0978821
"John Conyers"	0.0960166
"Wayne Allard"	0.0959857
"Jesse Helms"	0.0945082
"Charles Robb"	0.0944625
"Fred Thompson"	0.0942809
"Chuck Hagel"	0.0934835
"Don Nickles"	0.0931746
"Orrin Hatch"	0.0923045
Kerry	0.0918203
"Christopher Shays"	0.0913336
"Jim Bunning"	0.0909425
"John Rowland"	0.0896641
"Connie Mack"	0.0879016
"Kit Bond"	0.0873553
"Tim Johnson"	0.0865057
"John Dingell"	0.0856579
"George Mitchell"	0.0853276
Gorton	0.0851294
"Pat Roberts"	0.0848871
"Lauch Faircloth"	0.0812861
"Rod Grams"	0.0809666
"Blanche Lincoln"	0.0794266
"John G. Rowland"	0.0787823
"Ben Nighthorse Campbell"	0.077837
D-Ore.	0.0776813
"Strom Thurmond"	0.0776571
"Dan Burton"	0.0773434
"Lindsey Graham"	0.0772626
"John Conyers Jr."	0.0772401
"Gary Hart"	0.0762424
"Barney Frank"	0.0756304
McConnell	0.0753021
"Charles Rangel"	0.0750029
"Peter Fitzgerald"	0.0742914
"William Roth"	0.0739258
"Lloyd Doggett"	0.0731309
"Maxine Waters"	0.0721702
"Parris Glendening"	0.0721655
Moynihan	0.0713827
D-N.D.	0.0706046
R-Wash.	0.0704974
Lieberman	0.0702569
"John Danforth"	0.0702338
"Patrick Kennedy"	0.070138
"Lloyd Bentsen"	0.0699338
"Thad Cochran"	0.0695863
"Henry Waxman"	0.0695692
D-Vt.	0.0690733
R-Neb	0.068956
Feingold	0.0686959
"Bob Smith"	0.0682219
"Orlando Mercado"	0.0664828
"Barry Goldwater"	0.0661048
D-N.J.	0.0656491
"Richard Gephardt"	0.0654061
Feinstein	0.0653699
"Nancy Johnson"	0.0652993
D-Neb	0.0652597
"Joseph McCarthy"	0.0649198
"George Voinovich"	0.064776
"Trent Lott"	0.0639657
R-N.M.	0.0636058
"Jim Kolbe"	0.0635444
"Tom Hayden"	0.0631703
Wellstone	0.0628622
"Craig Thomas"	0.0623157
"Robert Smith"	0.0612027
"Sheila Jackson Lee"	0.061166
D-Conn.	0.0605768
Dorgan	0.0602902
"Jerrold Nadler"	0.059783
"Robert Menendez"	0.0597551
R-Ariz.	0.05975
Lott	0.0595982
"House Majority Whip Tom DeLay"	0.0595339
"William Cohen"	0.0590235
R-Ala.	0.0584092
"Porter Goss"	0.0576985
"Billy Tauzin"	0.0567485
Grassley	0.056461
D-S.C.	0.05646
Snowe	0.0563222
Gramm	0.0561745
R-Pa.	0.0559296
D-Mont.	0.05535
R-Tenn.	0.0553426
Markey	0.0552383
"Paul Tsongas"	0.0551336
Leahy	0.0547512
"George McGovern"	0.054095
"Chuck Schumer"	0.0535814
"John Glenn"	0.0534248
"Martin Frost"	0.0532935
"Lincoln Chafee"	0.0532557
"Charles Stenholm"	0.0529635
D-S.D.	0.0526065
Granic	0.0523048
D-Mass.	0.0520541
"Lynne Cheney"	0.051787
"Jennifer Dunn"	0.0514045
D-Iowa	0.0512701
"David Bonior"	0.0511469
"Robert F. Kennedy"	0.050936
"Tom Coburn"	0.0508919
"Gary Locke"	0.0507915
Ikimi	0.050533
Rangel	0.0504223
D-N.Y.	0.0503659
"Chief Executive Tung Chee-hwa"	0.0503287
Inhofe	0.0503059
Macdonald	0.0502204
R-Kan.	0.0497507
R-Mo.	0.04943
"J.C. Watts"	0.0493944
Kavan	0.0490263
"minority leader"	0.0489612
))
("Christopher Hill" (desc 3305.38) (sims
"Robert Gelbard"	0.374067
"Richard C. Holbrooke"	0.325784
"Richard Holbrooke"	0.298279
"Dennis Ross"	0.297012
"Wolfgang Petritsch"	0.288063
"Lakhdar Brahimi"	0.263813
"Carl Bildt"	0.225964
"Carlos Westendorp"	0.220733
"Li Zhaoxing"	0.199813
"William Walker"	0.195652
"George Mitchell"	0.18407
"Vladislav Jovanovic"	0.176274
"Victor Chernomyrdin"	0.173819
"Jeremy Greenstock"	0.162475
"Strobe Talbott"	0.161613
"Qin Huasun"	0.158364
Sahnoun	0.157044
"Long Yongtu"	0.156583
"Anthony Lake"	0.154607
"Oded Eran"	0.152321
"Bill Richardson"	0.148171
Holbrooke	0.145343
"Saeb Erekat"	0.138315
"Dore Gold"	0.138084
"Viktor Chernomyrdin"	0.126534
"Stuart Eizenstat"	0.126522
"Thomas Pickering"	0.124677
"Yitzhak Molcho"	0.123262
"Jaswant Singh"	0.120013
"Rolf Ekeus"	0.119111
"deputy foreign minister"	0.118692
"William Perry"	0.118611
"Nabil Shaath"	0.118047
Pickering	0.117799
"Charlene Barshefsky"	0.116437
"Sergio Vieira de Mello"	0.113535
"Ahmed Qureia"	0.113438
"Koo Chen-fu"	0.111636
"Yasser Abed Rabbo"	0.106759
"Bernard Kouchner"	0.104618
"Fehmi Agani"	0.102341
"Anatoly Chubais"	0.101058
"Mahmoud Abbas"	0.100227
Moratinos	0.0992374
Ahtisaari	0.0989429
"Ibrahim Rugova"	0.0981187
"Abu Mazen"	0.0975297
Ekeus	0.0974022
Baz	0.096022
"Richard Butler"	0.0958813
"Martin McGuinness"	0.0948398
"Robert Aventajado"	0.0935748
Brahimi	0.0928288
"Andrew Young"	0.0925647
Beye	0.0896736
Talbott	0.0886215
"Hashim Thaci"	0.0836918
mediator	0.0833727
Bildt	0.0832054
el-Baz	0.0830756
"Jesse Jackson"	0.0824793
Tarawneh	0.0814046
"de Charette"	0.0813742
Guterres	0.0805425
"Julius Nyerere"	0.080068
Komura	0.0791407
Solana	0.0785718
"Ketumile Masire"	0.0778838
"Alan Keyes"	0.0778116
"Dai Bingguo"	0.0777094
"Wang Yingfan"	0.0776519
Erekat	0.0772135
Ross	0.0749781
Imperatori	0.0746712
al-Sharaa	0.0742951
Kinkel	0.0741982
"Javier Solana"	0.0740994
Indyk	0.0740436
"Sergei Yastrzhembsky"	0.0740047
"Abidine Ben Ali"	0.0735198
"Leon Brittan"	0.0730256
Broek	0.0727931
"Hans von Sponeck"	0.0722966
Richardson	0.0721926
Meguid	0.0716759
"Antonio Guterres"	0.0716729
"Wlodzimierz Cimoszewicz"	0.0711766
"Secretary General Esmat Abdul-Meguid"	0.0711661
Ikeda	0.0711206
Surin	0.0708956
Albright	0.0708125
"Chen Muhua"	0.0706898
Macedonian	0.0704177
"De Soto"	0.0703869
Rodionov	0.0695564
Papandreou	0.0687988
"Madeleine Albright"	0.0686948
al-Baz	0.0683927
"UN agency"	0.0682009
"Sandy Berger"	0.0674022
"Momir Bulatovic"	0.0670163
Bouteflika	0.0670124
"postmaster general"	0.0666472
undersecretary	0.0665344
"Norodom Ranariddh"	0.0659194
"Salim Ahmed Salim"	0.0657625
Abdel-Meguid	0.0654906
Fino	0.0653917
"Fayez Tarawneh"	0.0653672
al-Shara	0.0648294
"Ramsey Clark"	0.0644655
Rifkind	0.0640572
Nyerere	0.0637009
Eran	0.0634827
"Wu Yi"	0.0634389
Wilhelm	0.0632222
Shareh	0.0631697
Aziz	0.0629977
"Rodney Slater"	0.0629937
Lipponen	0.06268
"Chief Executive Tung Chee-hwa"	0.062658
Alatas	0.062617
Ogata	0.0624222
Nemtsov	0.0620763
Stoyanov	0.0620611
"Prince Abdullah Ibn Abdul-Aziz"	0.0620246
el-Ganzouri	0.0616631
"William Cohen"	0.0616419
"Kofi Annan"	0.0614186
"Michael Heseltine"	0.0609611
"Valery Pustovoitenko"	0.0608774
troubleshooter	0.0606127
Diouf	0.0604134
Narayanan	0.0603127
"military attache"	0.0600942
"high commissioner"	0.059977
"James Baker"	0.0599379
"Frederick Sumaye"	0.0598164
"Nur Misuari"	0.0597282
Vollebaek	0.0596942
Brittan	0.0596605
Constantinescu	0.0595838
Alarcon	0.059546
Mkapa	0.0593902
"security adviser"	0.0591687
Deuba	0.0590276
"Louise Arbour"	0.0589603
Cem	0.058807
"Yuri Maslyukov"	0.058581
Garang	0.0585751
"Mike Jackson"	0.0584888
Zhenyu	0.0582674
Jovanovic	0.0581794
"Secretary General Esmat Abdel-Meguid"	0.0581666
"Russian Security Council"	0.0581476
"Mickey Kantor"	0.058017
"Foreign Affairs Office"	0.0578581
Ben-Ami	0.0577997
Ruehe	0.0577707
Insulza	0.0577392
Shevardnadze	0.057684
Mello	0.0576363
Kok	0.0576208
Kostov	0.0576122
"Defense William Cohen"	0.0575432
Granic	0.0575277
Xiong	0.0575067
Chernomyrdin	0.0574531
Grachev	0.0574434
Chretien	0.057339
Nzo	0.0572757
"Martti Ahtisaari"	0.05714
Ikimi	0.0568993
Wolfensohn	0.0568497
Velayati	0.0567908
Stepashin	0.0567003
Kasoulides	0.0564835
Siazon	0.0564639
Annan	0.0564576
"Joel Klein"	0.056439
"H.D Deve Gowda"	0.0562174
"general staff"	0.0560775
sultan	0.0558727
Soyinka	0.0555991
"Costas Simitis"	0.0555947
Barzani	0.0555926
"Huang Ju"	0.0555527
emissary	0.0555352
"Li Ruihuan"	0.0555317
Scalfaro	0.0553955
Holl	0.0553647
Al-Faisal	0.055333
Khaddam	0.055322
"John Bruton"	0.0551777
Zou	0.0550077
Jayakumar	0.0549468
Shara	0.0547481
Lewises	0.0544528
Christopher	0.0543515
"William Daley"	0.0542766
))
("Christopher Plummer" (desc 1608.38) (sims
"Hank Azaria"	0.116053
"Russell Crowe"	0.0997259
"Joaquin Phoenix"	0.0994676
"Carol Burnett"	0.0827024
"Christopher Reeve"	0.0798991
"Ewan McGregor"	0.0778693
"Patrick Stewart"	0.0771838
"Rene Russo"	0.0766331
"Martin Lawrence"	0.0766043
"Alec Baldwin"	0.0763903
"Jamie Foxx"	0.072877
"Kim Basinger"	0.072721
"Brendan Fraser"	0.069341
"Matt Damon"	0.0687205
"Sidney Poitier"	0.0659005
"Robert de Niro"	0.0632999
"Alicia Silverstone"	0.0617062
"Meg Ryan"	0.0617032
"Demi Moore"	0.0612371
"Matthew Broderick"	0.060673
"Janet McTeer"	0.0593072
"Ian McKellen"	0.0586651
"Barbra Streisand"	0.0584296
"Edie Falco"	0.0564289
"Famke Janssen"	0.0563271
"Denzel Washington"	0.0555131
"Bernadette Peters"	0.0554192
"Brenda Blethyn"	0.0550959
"Dennis Quaid"	0.0549746
"Mary Tyler Moore"	0.0547062
Hoch	0.0544079
"Michael Douglas"	0.0538036
"Keanu Reeves"	0.0533936
"Halle Berry"	0.0526792
"Dame Judi Dench"	0.052349
"Will Smith"	0.0520354
"Burt Reynolds"	0.051821
"Johnnie Cochran"	0.0511077
"Geoffrey Rush"	0.0510284
"Stellan Skarsgard"	0.050786
"Harvey Keitel"	0.0507323
"Greg Kinnear"	0.050623
"Ellen Burstyn"	0.0498426
"Ed Harris"	0.0497248
"Catherine Zeta-Jones"	0.0496748
"Taye Diggs"	0.0494875
"Lynn Redgrave"	0.0483138
"Wesley Snipes"	0.0482954
"Matthew McConaughey"	0.0474265
"Rob Lowe"	0.0469369
"Donald Sutherland"	0.0469136
"John Leguizamo"	0.0466911
"Navy Seal"	0.0464517
"Kirsten Dunst"	0.0462679
"Harry Belafonte"	0.0462472
"Winona Ryder"	0.0461866
"Warren Beatty"	0.0460381
"James Van Der Beek"	0.0459783
"Judi Dench"	0.045252
"Laurence Olivier"	0.0450122
"Tobey Maguire"	0.0449428
Bening	0.044899
"PHILIP SEYMOUR HOFFMAN"	0.0443042
"Barry Scheck"	0.0440741
Costner	0.0437984
"Steve Zahn"	0.0435452
"Sean Connery"	0.0431871
"William Shatner"	0.0431254
"Roberto Benigni"	0.0430172
"Smoke Signals"	0.0430125
"Vanessa Redgrave"	0.0426291
"Jack Lemmon"	0.0425572
"Brian Dennehy"	0.0425375
Epps	0.0423916
"James Woods"	0.0422445
Summitt	0.0417513
Matthau	0.0416022
"AL PACINO"	0.0415178
"Anne Bancroft"	0.0413073
"Tom Hanks"	0.0412958
"George Clooney"	0.0412642
"Ralph Fiennes"	0.0412252
"Bette Davis"	0.0412239
"Phil Donahue"	0.0410552
"Jon Voight"	0.0410275
"Christian Bale"	0.0408229
"Kathleen Turner"	0.0407837
"Angela Bassett"	0.0407439
"Sam Shepard"	0.0407032
"Michael Caine"	0.0405404
"Julianne Moore"	0.0404116
"James Gandolfini"	0.0403931
webcams	0.0401936
Oedipus	0.0401052
"Samuel L. Jackson"	0.0400496
))
("Christopher Reeve" (desc 1474.16) (sims
"Rob Lowe"	0.162244
"Alec Baldwin"	0.161466
"Kevin Bacon"	0.159849
"Michael Douglas"	0.151603
"Patrick Stewart"	0.151209
"Tom Selleck"	0.150924
"Robert DeNiro"	0.150485
"Matthew McConaughey"	0.137122
"Brian Dennehy"	0.127284
"Gregory Peck"	0.123842
"Mark Wahlberg"	0.123731
"Jon Voight"	0.123719
"Richard Dreyfuss"	0.121881
"Taye Diggs"	0.121796
"Liam Neeson"	0.121258
"Jack Lemmon"	0.120939
"William Shatner"	0.119717
"Angela Bassett"	0.118866
"Jimmy Smits"	0.116777
"Matthew Broderick"	0.116221
"Martin Sheen"	0.113771
"David Spade"	0.113473
"Kathy Bates"	0.112267
"Vivien Leigh"	0.111466
"Danny Glover"	0.109241
"Roberto Benigni"	0.107902
"Kevin Costner"	0.107379
"Chevy Chase"	0.106959
"Charlton Heston"	0.10664
"Cuba Gooding Jr."	0.1056
"Gene Hackman"	0.105356
"Omar Epps"	0.104978
"Burt Reynolds"	0.104127
"Arnold Schwarzenegger"	0.103421
"Laurence Fishburne"	0.103058
"Bruce Willis"	0.101442
"David Arquette"	0.100553
"William H. Macy"	0.100454
"Sigourney Weaver"	0.100318
"Michael J. Fox"	0.0996352
"Demi Moore"	0.0992104
"Robert Redford"	0.0990239
"Sean Penn"	0.0983084
"Tommy Lee Jones"	0.0970212
"Sylvester Stallone"	0.0960728
"Michael Caine"	0.0958485
"Richard Gere"	0.095122
"Edward Norton"	0.0940445
"James Woods"	0.093787
"Barbra Streisand"	0.0935822
"Russell Crowe"	0.0935699
"Rupert Everett"	0.0934543
"Paul Newman"	0.0932119
"Robert Downey Jr."	0.0926691
"Ian Holm"	0.0921642
"Warren Beatty"	0.0921164
"Jamie Foxx"	0.0919075
"Antonio Banderas"	0.0918236
"Dustin Hoffman"	0.0915297
"John Leguizamo"	0.0900389
"Melanie Griffith"	0.0896292
"George Clooney"	0.0895441
"Harrison Ford"	0.089354
"Denzel Washington"	0.0891429
"Dennis Quaid"	0.0890509
"Wesley Snipes"	0.088905
"Woody Harrelson"	0.0886136
"Kenneth Branagh"	0.0876001
"Johnny Depp"	0.0870509
"Kevin Spacey"	0.0867536
"Stanley Tucci"	0.0865367
"Sean Connery"	0.0865287
"Tom Cruise"	0.0863213
"Christian Slater"	0.086068
"Will Smith"	0.0854874
"Dennis Hopper"	0.0852143
"Dan Aykroyd"	0.0849791
"Billy Crystal"	0.0848982
"Harvey Keitel"	0.0847482
"Tim Robbins"	0.0847246
"Gabriel Byrne"	0.0839741
"Ian McKellen"	0.0838045
"Marlon Brando"	0.0824805
"Robin Williams"	0.0823824
"Bill Murray"	0.0823508
"Jack Nicholson"	0.0823293
"Ewan McGregor"	0.0820716
"John Travolta"	0.0820219
"Geoffrey Rush"	0.0819926
"Robert de Niro"	0.0817635
"Steve Martin"	0.0817576
"James Stewart"	0.081231
"Thandie Newton"	0.0808816
"Keanu Reeves"	0.0808091
"John Malkovich"	0.0805103
"Susan Sarandon"	0.0801775
"Christopher Plummer"	0.0798991
"David Duchovny"	0.0795324
"Kate Winslet"	0.0781589
"Ben Affleck"	0.0772339
"Hugh Grant"	0.0770976
"PHILIP SEYMOUR HOFFMAN"	0.0765654
"Jim Carrey"	0.0757378
Cleese	0.0756749
"James Van Der Beek"	0.0756089
"Christian Bale"	0.07534
"Sidney Poitier"	0.0752726
"Glenn Close"	0.0748828
"Matt Damon"	0.074426
"Halle Berry"	0.0740062
"Kim Basinger"	0.073641
cowgirl	0.0733115
"Whoopi Goldberg"	0.0724735
"Holly Hunter"	0.0718178
"Kirk Douglas"	0.0716175
"Henry Fonda"	0.0714563
"John Goodman"	0.0710733
"James Earl Jones"	0.0708188
"Meg Ryan"	0.0706993
"Ralph Fiennes"	0.0704683
"Samuel L. Jackson"	0.0704326
"Spencer Tracy"	0.0702457
"Oliver Platt"	0.0697725
"Clint Eastwood"	0.0694799
"Quincy Jones"	0.0689741
Beatty	0.0689555
"Ed Harris"	0.0688649
Pape	0.0688489
Braugher	0.0686751
"Ethan Hawke"	0.0685889
"John Wayne"	0.0684621
"Burt Lancaster"	0.0684056
"Mikhail Baryshnikov"	0.0683583
"Ray Romano"	0.068211
"Leonardo DiCaprio"	0.0680147
"Penelope Cruz"	0.0678159
"Nigel Hawthorne"	0.0665751
"Ray Charles"	0.0664148
"Brad Pitt"	0.0663913
"Tom Hanks"	0.0663752
"Frances McDormand"	0.0660349
"Carol Burnett"	0.0658259
"Nathan Lane"	0.0652836
"Bette Midler"	0.0646659
"Norm MacDonald"	0.0644072
"Mel Gibson"	0.06438
"Jeremy Irons"	0.0641425
Costner	0.064008
"Oprah Winfrey"	0.0639518
"Julie Andrews"	0.0637329
"Billy Crudup"	0.0637038
"Jessica Lange"	0.0630062
"Sally Field"	0.0627402
"Billy Bob Thornton"	0.0627311
Keaton	0.06259
"Eddie Murphy"	0.0621573
"Norman Schwarzkopf"	0.0618015
"Rene Russo"	0.0617619
Shandling	0.061664
"Martin Lawrence"	0.0616347
"Sarah Jessica Parker"	0.0615445
"Lauren Bacall"	0.0613272
"Matthew Perry"	0.0611966
"Michelle Pfeiffer"	0.0611953
"Bill Paxton"	0.0609655
"Chow Yun-Fat"	0.0608123
Shatner	0.0606933
"Alfre Woodard"	0.06023
"Kelsey Grammer"	0.0594551
"Mandy Patinkin"	0.0593801
"Sela Ward"	0.0592711
"Pierce Brosnan"	0.0592668
"Catherine Deneuve"	0.0589416
"Anthony Hopkins"	0.058925
"Mickey Blue Eyes"	0.0588324
"Joe Namath"	0.0588282
"Jude Law"	0.0586844
"Stellan Skarsgard"	0.0586225
Affleck	0.0580762
"Janet McTeer"	0.0580126
"Joseph Fiennes"	0.0570419
"Humphrey Bogart"	0.057023
"Diana Ross"	0.0569886
"Naomi Campbell"	0.0565013
"Natasha Richardson"	0.0564647
"Kirsten Dunst"	0.0562913
"Aidan Quinn"	0.0562649
"Alicia Silverstone"	0.0561556
"Nicole Kidman"	0.0561224
Tucci	0.0560254
"Natalie Portman"	0.0559426
"Bill Pullman"	0.0557628
"Val Kilmer"	0.0553482
"James Cagney"	0.0552992
Heston	0.05525
"Vanessa Redgrave"	0.0551414
"Richard Burton"	0.0548663
"Edie Falco"	0.0548094
"love seat"	0.0548007
"Dame Judi Dench"	0.0547146
))
("Christopher Shays" (desc 3598.77) (sims
"Nancy Johnson"	0.338178
"David Dreier"	0.228295
"Sherwood Boehlert"	0.202642
"Dan Miller"	0.19688
"Tom Campbell"	0.196513
"Curt Weldon"	0.195438
"John Conyers"	0.190985
"Mark Foley"	0.190939
"Barney Frank"	0.18686
Shays	0.184917
"Jim Leach"	0.184779
"J.C. Watts"	0.182094
"Peter King"	0.180989
"Martin Meehan"	0.180729
"John Dingell"	0.178755
"Carolyn McCarthy"	0.178187
"Lamar Smith"	0.177565
"Jack Quinn"	0.17541
"Christopher Cox"	0.167314
"Benjamin Gilman"	0.16716
"Bill Thomas"	0.165403
"Nita Lowey"	0.159702
"Charlie Norwood"	0.157315
"Michael Forbes"	0.153921
"Charles Rangel"	0.153455
"George Nethercutt"	0.152923
"Nancy Pelosi"	0.152595
"Jim Kolbe"	0.152358
"Bill McCollum"	0.14925
"John Boehner"	0.14893
"Bill Archer"	0.148104
"Jim Bunning"	0.147265
"Jose Serrano"	0.146842
"Marge Roukema"	0.143784
"James Sensenbrenner"	0.142264
"Jennifer Dunn"	0.142232
"Charles E. Schumer"	0.142012
"Bernard Sanders"	0.141603
R-Conn.	0.141529
"John Rowland"	0.140825
"Amo Houghton"	0.140753
"Zoe Lofgren"	0.140571
"Charles Canady"	0.139419
"Dan Burton"	0.139325
"Ed Bryant"	0.138326
"Linda Smith"	0.137892
"Steve Largent"	0.137014
"Bob Barr"	0.136378
"George Miller"	0.136167
"Asa Hutchinson"	0.135814
"Sheila Jackson Lee"	0.135061
"Jerrold Nadler"	0.132873
"Carolyn Maloney"	0.132149
"Christopher Smith"	0.1302
"Maxine Waters"	0.129702
"Henry Waxman"	0.1282
"Patrick Kennedy"	0.127781
"Porter Goss"	0.125562
"Tillie Fowler"	0.125559
"George Gekas"	0.124916
"Don Young"	0.124807
"Charles Stenholm"	0.12475
"Henry Bonilla"	0.122785
"Chris Smith"	0.122265
"Matt Salmon"	0.119948
"Rick Lazio"	0.119351
"Tom Coburn"	0.117961
"Mary Bono"	0.117881
"Lindsey Graham"	0.117239
"Ron Paul"	0.116845
"James Rogan"	0.114826
"David Bonior"	0.114441
"John Linder"	0.114323
"Connie Morella"	0.114156
"James Jeffords"	0.112435
"Billy Tauzin"	0.112301
"Phil Gramm"	0.11064
"John Kerry"	0.110524
"Steve Chabot"	0.109315
"Kay Bailey Hutchison"	0.108117
"Richard Blumenthal"	0.107765
"Greg Ganske"	0.107032
"Bob Graham"	0.107012
"Orrin Hatch"	0.106133
"Martin Frost"	0.105703
"John G. Rowland"	0.105632
"Charles Schumer"	0.105089
"Slade Gorton"	0.102282
"Henry Hyde"	0.102005
"Bob Franks"	0.101963
"Gordon Smith"	0.101247
"Richard Shelby"	0.100787
"Jack Kingston"	0.100545
"Arlen Specter"	0.100189
"Sue Kelly"	0.0992867
"Paul Coverdell"	0.099156
"John Lewis"	0.0991085
"John Sweeney"	0.0954578
"Lloyd Doggett"	0.0953813
"John Chafee"	0.0935427
"Olympia Snowe"	0.0934211
"Fred Upton"	0.0931426
"Tom DeLay"	0.0929699
"Connie Mack"	0.0928981
"John Warner"	0.0924606
"Bill Owens"	0.0918026
"William Weld"	0.0916971
"Christopher Dodd"	0.0913336
"Susan Molinari"	0.0912945
"Charlene Barshefsky"	0.09108
"Robert Torricelli"	0.0905963
"Bill Frist"	0.0904863
"Fred Thompson"	0.089604
"Joseph I. Lieberman"	0.0895379
"Dick Armey"	0.0890594
"Gary Johnson"	0.0887339
"Spencer Abraham"	0.0873894
"Paul Cellucci"	0.0863133
"Robert Menendez"	0.0862855
"Edward M. Kennedy"	0.0841434
"Don Nickles"	0.0837811
"Pete Wilson"	0.0834889
"Joseph Lieberman"	0.0832733
Hayworth	0.0831358
"Jim McDermott"	0.0826013
"Richard Gephardt"	0.0817375
"Daniel Patrick Moynihan"	0.0817093
"Edward Kennedy"	0.0815927
Nickles	0.0808903
"Mitch McConnell"	0.0806245
"Paul Wellstone"	0.0802778
"John Kasich"	0.0791639
"Lee Hamilton"	0.0785535
"Craig Thomas"	0.0782294
"Pete Domenici"	0.0779522
Snowe	0.0779472
"House Majority Whip Tom DeLay"	0.0767672
"Jim Gilmore"	0.0756839
R-Iowa	0.0755201
"Jon Kyl"	0.0755022
"Tom Daschle"	0.07538
"Susan Collins"	0.0748985
"Norm Dicks"	0.0748246
"Loretta Sanchez"	0.0745414
"Sam Brownback"	0.0742109
"Bob Smith"	0.0741823
"Faisal Husseini"	0.073991
"Adem Demaci"	0.0738134
"Chuck Hagel"	0.0736147
Bateman	0.0736118
"Kit Bond"	0.073437
"John Ashcroft"	0.0721504
Kyl	0.07152
"Frank Lautenberg"	0.0714766
"Dianne Feinstein"	0.0711568
"Mark Sanford"	0.0709805
"John Breaux"	0.0694579
Lugar	0.069087
"Jim Jeffords"	0.0690182
"David Schippers"	0.0687364
"Mastercard International"	0.0680584
"Jim Turner"	0.0679833
Gibbons	0.0679301
"William Roth"	0.0675435
"Robert Livingston"	0.0674266
"Jesse Helms"	0.0673712
"Russell Feingold"	0.0671992
"Mike DeWine"	0.0671669
"Ron Wyden"	0.0670415
"Mark Green"	0.0668541
"Patrick Leahy"	0.0668068
Delahunt	0.0667148
Chenoweth	0.0663243
"Christie Whitman"	0.0661279
"Mickey Kantor"	0.0655523
Moakley	0.0653506
"Tim Johnson"	0.0653362
"Tom Davis"	0.0647372
"Dennis Hastert"	0.064685
"George Ryan"	0.0646004
"Tom Harkin"	0.0644384
"Ted Stevens"	0.0635704
"Dick Gephardt"	0.0634939
"Bill Graves"	0.0631037
"Jerry Lewis"	0.0630129
Brownback	0.0628667
"Majority Whip Tom DeLay"	0.0627863
"John Cornyn"	0.0626334
Hutchinson	0.0624017
Jeffords	0.0623408
Leavitt	0.0622584
"Joe Lieberman"	0.0620863
"Barbara Boxer"	0.0615708
"Christine Todd Whitman"	0.0610762
"Larry Craig"	0.0603759
Jayakumar	0.0603562
"Tom Ridge"	0.0600058
"Mike Huckabee"	0.0589891
"Robert Byrd"	0.0584136
"Frank Keating"	0.0583627
))
("Christopher Smith" (desc 1658.66) (sims
"Chris Smith"	0.27224
"Marge Roukema"	0.261123
"Bob Franks"	0.221785
"George Miller"	0.188781
"Christopher Cox"	0.179841
"Charles Canady"	0.167533
"Tom Campbell"	0.166814
"Porter Goss"	0.166556
"Lamar Smith"	0.162806
"Bill McCollum"	0.158728
"Jim Kolbe"	0.157853
"George Gekas"	0.155046
"Dan Burton"	0.150845
"Jim Leach"	0.15013
"John Boehner"	0.150014
"Dan Miller"	0.148987
"John Dingell"	0.148773
"John Conyers"	0.147661
"David Dreier"	0.140747
"J.C. Watts"	0.13747
"Charlie Norwood"	0.136889
"Mark Foley"	0.136366
"Carolyn McCarthy"	0.134491
"Mark Sanford"	0.132487
"Bernard Sanders"	0.132243
"Christopher Shays"	0.1302
"Bob Barr"	0.130107
"Connie Morella"	0.128782
"Martin Frost"	0.128186
"Maxine Waters"	0.125366
"Lee Hamilton"	0.124317
"Jack Quinn"	0.123618
"Don Young"	0.121526
"John Lewis"	0.121349
"Michael Forbes"	0.119008
"Martin Meehan"	0.118963
"Asa Hutchinson"	0.118457
"Jerrold Nadler"	0.11844
"Peter King"	0.118176
"James Sensenbrenner"	0.116925
"Jim Bunning"	0.116369
"Charles Rangel"	0.114916
"John Sweeney"	0.108953
"Jack Kingston"	0.108855
"Benjamin Gilman"	0.108844
"Fred Thompson"	0.107965
"Frank Lautenberg"	0.10741
"Charles E. Schumer"	0.107155
"Steve Largent"	0.104969
"Bill Thomas"	0.104628
"Rick Lazio"	0.102189
"Charles Grassley"	0.102075
"Ed Bryant"	0.101279
"Henry Bonilla"	0.100846
"Steve Chabot"	0.100606
"Lindsey Graham"	0.100483
"Bill Archer"	0.100351
"Sheila Jackson Lee"	0.0996093
"John Linder"	0.0991177
"Kay Bailey Hutchison"	0.097107
"Patrick Kennedy"	0.0959976
"Matt Salmon"	0.0955292
"Curt Weldon"	0.0950577
"Jennifer Dunn"	0.0939091
"Sherwood Boehlert"	0.0937618
"Tom Coburn"	0.0934038
"Henry Waxman"	0.0926556
"Arlen Specter"	0.0918062
"Greg Ganske"	0.0913729
"Richard Gephardt"	0.0912905
"Linda Smith"	0.0910452
"Henry Hyde"	0.0903051
"Rick White"	0.0902105
"Paul Coverdell"	0.0900228
"David Bonior"	0.0891796
"Nita Lowey"	0.0890944
"John Kasich"	0.0889744
"Charles Schumer"	0.0884582
"Barney Frank"	0.0879946
"James Rogan"	0.0868356
"Amo Houghton"	0.086181
"Dennis Vacco"	0.0857651
"Slade Gorton"	0.0842962
"Tom DeLay"	0.0826154
"Tillie Fowler"	0.0821438
"Jose Serrano"	0.0817197
"Charlene Barshefsky"	0.0814708
"Mary Bono"	0.0808047
"Patty Murray"	0.0807387
"Dick Armey"	0.0806812
"Lloyd Doggett"	0.0806327
"Mark Green"	0.0803224
"Jon Kyl"	0.0799472
"George Nethercutt"	0.0791131
"Mitch McConnell"	0.0790421
"Susan Molinari"	0.0783625
"Nancy Pelosi"	0.0779032
"Tom Davis"	0.0778435
"Robert Livingston"	0.0765844
"John Ashcroft"	0.0759081
"Jim Turner"	0.0750353
"Fred Upton"	0.0745654
"Peter Fitzgerald"	0.0742816
"Bob Livingston"	0.0741377
"Craig Thomas"	0.0734359
"Gordon Smith"	0.0730043
"Bob Smith"	0.0727444
Meguid	0.0726959
"Jesse Helms"	0.0725618
"House Majority Whip Tom DeLay"	0.0713544
"Pete Domenici"	0.0711677
"Bob Graham"	0.070786
"Mickey Kantor"	0.0707132
"Zoe Lofgren"	0.0699878
"Sonny Bono"	0.0692568
"Billy Tauzin"	0.0692473
"Phil Gramm"	0.0691082
"George Voinovich"	0.0687227
"Connie Mack"	0.0687177
"Kit Bond"	0.0686958
Alioto	0.0685944
"Nancy Johnson"	0.0684755
"Bill Frist"	0.0682137
"Ramsey Clark"	0.0678558
"Patrick Leahy"	0.0676405
"Adam Smith"	0.0674075
"Sue Kelly"	0.0664234
"Megawati Soekarnoputri"	0.0660072
R-N.Y.	0.0652883
"Loretta Sanchez"	0.0651707
"Christine Todd Whitman"	0.0650658
"Mike DeWine"	0.0650264
"Robert Torricelli"	0.0649464
"Carl Levin"	0.064907
"John Conyers Jr."	0.0646149
"Pete Wilson"	0.0637925
"Tony Coelho"	0.0635929
"Faisal Husseini"	0.0634354
"Jim McDermott"	0.0631892
"Sam Brownback"	0.0631471
McConnell	0.0630744
"Mike Huckabee"	0.0626536
"Carolyn Maloney"	0.0625081
"John Breaux"	0.0618504
"Pat Roberts"	0.0618062
"Barbara Boxer"	0.0609583
"Don Nickles"	0.0605406
"Long Yongtu"	0.0599693
"H.D Deve Gowda"	0.0596239
"Ted Stevens"	0.0595906
Gilmore	0.0594194
"Robert Menendez"	0.0591288
"Charles Stenholm"	0.0590699
"Dan Coats"	0.0584627
"Chea Sim"	0.0582746
ENTREMED	0.0580829
"Khaleda Zia"	0.0579879
"Charles Taylor"	0.0577711
"Dick Gephardt"	0.0576415
"Ron Paul"	0.0575646
R-S.C.	0.0571728
"Prime Minister Banharn Silpa-Archa"	0.0569629
Gutman	0.0569052
Nickles	0.056901
"Roy Barnes"	0.056665
"John Chafee"	0.056662
"Norm Dicks"	0.0565049
"Sher Bahadur Deuba"	0.0561975
"Partizan Belgrade"	0.0561741
"Tom Harkin"	0.0561331
"Susan Collins"	0.0555016
"Olympia Snowe"	0.0551763
"Adem Demaci"	0.0549767
"Rick Santorum"	0.0543228
Brownback	0.0542608
"Dick Pound"	0.0540341
"Tim Hutchinson"	0.0536976
"Kim Yong Nam"	0.0532984
"Jerry Lewis"	0.0529601
R-Ohio	0.0522348
"Guy Millner"	0.0522
"George Mitchell"	0.0521503
Advani	0.0519469
"Chief Secretary"	0.0519182
"Chuck Hagel"	0.0517747
"Helen Clark"	0.0515001
"Edward Kennedy"	0.0512209
"Geraldine Ferraro"	0.0506633
"Vuk Draskovic"	0.0505833
"Jim Hodges"	0.050305
Kessler	0.0502017
"Edward M. Kennedy"	0.0500345
Bishara	0.0497529
"Joseph I. Lieberman"	0.0494041
"Lauch Faircloth"	0.0489786
Ecevit	0.0489404
D-Ill.	0.0488095
"Debra Weydert"	0.0482544
"Fob James"	0.0480249
"Spencer Abraham"	0.04802
))
("Christopher Walken" (desc 3501.1) (sims
"Alicia Silverstone"	0.166498
"Gene Hackman"	0.126452
"Danny Glover"	0.109424
"Jimmy Smits"	0.106697
"Willem Dafoe"	0.100913
"Vanessa Redgrave"	0.100182
"Nigel Hawthorne"	0.0993131
"Kevin Kline"	0.094868
"Sylvester Stallone"	0.0941989
"Anne Bancroft"	0.0890094
"Ian Holm"	0.0881973
"Jon Voight"	0.0877899
"Susan Sarandon"	0.0865776
"Demi Moore"	0.0836693
"Winona Ryder"	0.0831868
"Martin Sheen"	0.0831281
"Frances McDormand"	0.0805934
"JOHN TURTURRO"	0.0803686
"Ethan Hawke"	0.0801486
"Brendan Fraser"	0.0781782
"Natalie Portman"	0.0780103
"Richard Dreyfuss"	0.0755914
"Tim Robbins"	0.0754766
"Sean Connery"	0.0751404
"Holly Hunter"	0.0745665
"Robert DeNiro"	0.0739578
"John Belushi"	0.0723582
"Jeremy Irons"	0.071681
"Val Kilmer"	0.0716576
"Vince Vaughn"	0.0711778
"Matthew McConaughey"	0.0711532
"AL PACINO"	0.0707246
"Jessica Lange"	0.0704618
"Jane Fonda"	0.0697402
"Jeff Goldblum"	0.0693895
"Sarah Jessica Parker"	0.0686656
"Nick Nolte"	0.0685928
"John Cusack"	0.0672179
"Phil Donahue"	0.0667018
"Sigourney Weaver"	0.0658833
"Jason Alexander"	0.0649709
"Angela Bassett"	0.0647073
"Geena Davis"	0.064235
"Johnny Depp"	0.0635731
"Natasha Richardson"	0.0630702
"John Leguizamo"	0.0629013
"Harrison Ford"	0.0626724
"Paul Newman"	0.0625177
"Alfre Woodard"	0.0618138
"James Coburn"	0.0613864
"True Thing"	0.0611142
"Sidney Poitier"	0.0609573
"Kate Winslet"	0.0608973
"Ed Harris"	0.0602781
"Rosie O'Donnell"	0.0602529
"Dustin Hoffman"	0.0597679
"Joseph Fiennes"	0.0596606
"Harvey Keitel"	0.0595199
"Kathleen Turner"	0.0593362
"Edward Furlong"	0.059219
"Marc Anthony"	0.059199
"Michael Douglas"	0.0591405
"Liza Minnelli"	0.0587624
"Woody Harrelson"	0.0585512
"Tommy Lee Jones"	0.0584639
"Kevin Bacon"	0.0582849
"Chevy Chase"	0.0582517
"Kirk Douglas"	0.0582502
"Ewan McGregor"	0.0581073
"James Woods"	0.0579349
"Warren Beatty"	0.0577801
"George Clooney"	0.0570977
"Glenn Close"	0.0569662
"Robert de Niro"	0.0568902
"Adam Sandler"	0.0566184
"Stephen Rea"	0.0565927
"Meryl Streep"	0.0560748
"Robert Duvall"	0.0556406
"Kevin Costner"	0.0554057
"Cuba Gooding Jr."	0.0553932
"Steve Martin"	0.055269
"Billy Crystal"	0.0551036
"Bill Murray"	0.0549573
"Patrick Stewart"	0.0548025
"PHILIP SEYMOUR HOFFMAN"	0.0548008
"Jeff Daniels"	0.0547414
"Sela Ward"	0.0545651
"Stanley Tucci"	0.0545011
"David Bowie"	0.0541148
"Michelle Pfeiffer"	0.0540786
"Julia Roberts"	0.0535047
"Morgan Freeman"	0.0534748
"Anthony Hopkins"	0.0534368
"Claire Danes"	0.0531364
"Lynn Redgrave"	0.0523147
"William Hurt"	0.052157
"Richard Gere"	0.0520945
"Whoopi Goldberg"	0.0520062
"Jeff Bridges"	0.0519644
"John Malkovich"	0.0519391
Cleese	0.0517445
"John Travolta"	0.0511705
"Tim Allen"	0.0510908
"Sissy Spacek"	0.0510837
"Ted Danson"	0.0510455
"Keanu Reeves"	0.0510016
"Julianne Moore"	0.0508621
"Faye Dunaway"	0.0505837
"Jennifer Lopez"	0.0505662
"Kirsten Dunst"	0.0505019
"Goldie Hawn"	0.0502827
"Liam Neeson"	0.0502321
"Billy Bob Thornton"	0.0501165
"Jack Lemmon"	0.0501018
"Burt Reynolds"	0.0499042
"Kim Basinger"	0.0497117
"Jackie Chan"	0.0495399
"Wesley Snipes"	0.0495149
"Arnold Schwarzenegger"	0.0494908
"Janet McTeer"	0.0494288
"Jennifer Love Hewitt"	0.0494253
"Bruce Willis"	0.0494193
"Enrique Iglesias"	0.0494086
"Rob Lowe"	0.0494078
"Brian Dennehy"	0.0493556
"Matthew Broderick"	0.0488446
"Drew Barrymore"	0.048739
"Ralph Fiennes"	0.0487103
"Catherine Deneuve"	0.0486268
"Jack Nicholson"	0.0483378
"Anjelica Huston"	0.0481803
"Cameron Diaz"	0.0480527
"Brad Pitt"	0.0477908
"Kenneth Branagh"	0.0476214
"Mikhail Baryshnikov"	0.0476208
"Humphrey Bogart"	0.0474875
"Bette Davis"	0.0474707
"Martin Short"	0.0473614
"Laurence Olivier"	0.0472021
"Diana Ross"	0.0470011
"Marlon Brando"	0.0468799
Costner	0.0466753
"Jimmy Stewart"	0.046661
"Jodie Foster"	0.0464072
"John Lithgow"	0.0461167
"Halle Berry"	0.046064
"Naomi Campbell"	0.0459624
"Janeane Garofalo"	0.0455432
"Emily Watson"	0.0454364
"Gary Cooper"	0.0454348
"Salma Hayek"	0.0454243
"Bill Paxton"	0.0453268
"Ray Romano"	0.0452687
"Heather Graham"	0.0451433
"Meg Ryan"	0.0450222
"Denzel Washington"	0.0445652
"Hugh Grant"	0.0445583
"Ricky Martin"	0.0443419
"Van Halen"	0.0442363
"Will Smith"	0.0439543
"Julie Andrews"	0.0438788
"Tracey Ullman"	0.0438284
"James Van Der Beek"	0.0438136
"Ally Sheedy"	0.0437269
"Carol Burnett"	0.0437267
"Peter Fonda"	0.0435317
"Sandra Bullock"	0.0434912
"Martin Lawrence"	0.04303
"Uma Thurman"	0.0430083
"Gregory Peck"	0.0429996
"Melanie Griffith"	0.0429678
"Albert Brooks"	0.0426163
"Hank Azaria"	0.0425327
"Joan Allen"	0.0425232
"Burt Lancaster"	0.0424256
"Matt Damon"	0.0422119
"Robert Carlyle"	0.0420083
"John Cleese"	0.0419399
"Spencer Tracy"	0.0418928
"Chow Yun-Fat"	0.041804
"Tom Selleck"	0.0417706
"James Cagney"	0.0417489
"David Spade"	0.0417007
Grammer	0.041652
"Sean Penn"	0.0414109
"Jamie Foxx"	0.0410994
"Robin Williams"	0.0410159
"Christian Slater"	0.0409297
"Nicolas Cage"	0.0406013
Cher	0.0403981
"Christina Aguilera"	0.0401265
))
(Christy (desc 1934.98) (sims
Brandi	0.0860475
Crocker	0.0852151
Cavanaugh	0.0817184
Brazill	0.0786682
hazel	0.0775119
Eileen	0.0766818
Corey	0.0729451
Theresa	0.0724765
"Leigh Ann"	0.0721815
Olivia	0.0717933
Suzanne	0.0715265
Kip	0.0699181
Kerouac	0.0686307
Berenson	0.0670553
Lamont	0.0664439
JonBenet	0.0648545
Anand	0.0646003
Janice	0.0643237
Paulina	0.0643165
Abby	0.063816
Mineta	0.0633041
Hamid	0.0625684
Lynne	0.0625211
Lydia	0.0612723
Brenda	0.0609734
Cassie	0.0598856
Lyman	0.0595937
Boller	0.0595137
Piot	0.0592924
Jenny	0.0589558
Autry	0.0588033
ARI	0.0586251
Fech	0.0582472
Cheryl	0.0574467
Bhattarai	0.0573223
Giles	0.0572698
Dana	0.0571337
Audrey	0.0567952
Nickerson	0.0566496
Yoon	0.0565711
Moceanu	0.0562587
Gaston	0.0561843
Zarb	0.0560383
Ashley	0.0560375
Rita	0.0557422
Raines	0.0557195
Epstein	0.0557123
Schiff	0.055213
Sylvia	0.0551656
Cory	0.0551614
Harrell	0.0551568
Stephanie	0.055001
Callie	0.0548906
Blackman	0.0547855
Mehmet	0.054589
Shatner	0.0539689
Shattuck	0.053733
Keenan	0.0536872
Liggett	0.0536392
Kohn	0.0533164
Postel	0.0533163
wen	0.0527466
Christine	0.052722
Linda	0.0526913
Hendrickson	0.0523406
Markovic	0.0521104
McAuliffe	0.0520936
Lawson	0.0519372
Pippig	0.0516265
Smirnov	0.0515389
Shepard	0.051449
Kurosawa	0.0513069
Cherie	0.0513046
Underwood	0.0512449
Aris	0.051197
Sampson	0.0511552
Sang	0.0511218
McLaughlin	0.0510036
Abernathy	0.050978
Junger	0.0509041
alicia	0.0508957
Sandra	0.0508809
Monique	0.0508773
Maharaj	0.0506751
Costin	0.0506283
Sund	0.0505673
Schmalensee	0.0504744
Carolyn	0.0503831
Sarah	0.0501153
Vina	0.0500663
Jaffe	0.0500344
Loeb	0.0500143
Nicole	0.0499789
Lindy	0.0499163
Goff	0.0498871
Ervin	0.0498063
Knapp	0.049796
Ruben	0.0497102
MCGEE	0.049459
"Juan Miguel"	0.0494147
Nancy	0.0494
Menchu	0.049381
Tran	0.0492953
Panchen	0.0492235
Rebecca	0.0492115
Mucha	0.0491936
Almodovar	0.0491144
Pearce	0.0490137
Shannon	0.0489858
Galvin	0.0488857
Dominique	0.048761
Petit	0.0486839
Brooke	0.0485728
Winkler	0.0485527
Menuhin	0.0485472
Peng	0.0483745
Cindy	0.0482094
Mona	0.0481957
Ciampi	0.0481427
Judah	0.0481304
Grasso	0.0480342
Berle	0.0479992
krueger	0.047962
Bogle	0.0479284
Miriam	0.0478522
Stoneman	0.0478378
Schoenfeld	0.0478362
Soliah	0.047734
Cremins	0.0476879
Jacobson	0.0476779
McCormick	0.0476613
Copeland	0.0475178
Midler	0.0474359
Isaiah	0.0474137
GUMBEL	0.0472771
Alexandra	0.0472345
Ganga	0.0471817
Baez	0.0471564
Donnelly	0.0471514
Meeks	0.0471415
Husseini	0.0470994
Sara	0.0468263
Blackmun	0.0468247
Sung	0.0467534
Hauser	0.0466744
Stevenson	0.0465762
O'Connell	0.0465189
Adele	0.0462894
Wynonna	0.0462408
Rossotti	0.0462314
Limon	0.0461247
Kimball	0.0460246
Mendes	0.0459694
Haughey	0.0459089
Eli	0.0459053
Maria	0.0459001
Reimer	0.0458409
Edwin	0.0457758
Timmy	0.0457406
Katie	0.0457005
Lew	0.0456534
Garofalo	0.0456249
Autissier	0.0455609
Britton	0.0453765
McGill	0.0452501
Segal	0.0451932
Henson	0.0451419
Garza	0.0451315
"Love Boat"	0.0451089
anna	0.0450829
Samuelson	0.0450333
Walter	0.0449581
Merritt	0.0449308
Hou	0.0449228
Ellen	0.044917
Hamlin	0.0449115
Alioto	0.0448209
Kodikian	0.0447596
Carruth	0.0447167
Esther	0.044702
Andy	0.0446934
Yoo	0.0446806
Soyinka	0.0446203
Zou	0.0445467
Feldman	0.0444993
Clifford	0.0444339
Hahn	0.044424
Lori	0.0444213
Goode	0.0444089
Figueroa	0.0443704
Pamela	0.0442738
Ghani	0.0442482
Bambi	0.044214
"Caroline Kennedy"	0.0441944
"Jenny Jones"	0.0441453
Heyward	0.0440285
Talebi	0.0440278
ANN	0.0440087
Kenny	0.0439987
McKay	0.0439303
))
(chrome (desc 7745.5) (sims
aluminum	0.196702
manganese	0.169552
"stainless steel"	0.164796
Copper	0.14496
"wrought iron"	0.137885
Zinc	0.127058
tungsten	0.12378
pewter	0.121399
cobalt	0.110284
marble	0.106756
vinyl	0.106004
chromium	0.10286
Nickel	0.101944
alloy	0.101222
brass	0.100282
"cast iron"	0.0953772
enamel	0.0952509
Tin	0.0943808
steel	0.0941183
cadmium	0.092366
mahogany	0.0916518
bauxite	0.0910568
titanium	0.0910525
metal	0.087431
"iron ore"	0.0838595
"gold leaf"	0.0826549
magnesium	0.0821477
iron	0.0817265
leather	0.0813018
plastic	0.0808557
lacquer	0.0795685
teak	0.0782825
fiberglass	0.0775194
plaster	0.0772795
platinum	0.076578
acrylic	0.0764619
ceramic	0.074817
Rosewood	0.0745285
tile	0.0730339
granite	0.0720521
rattan	0.0705721
limestone	0.0686218
Plexiglas	0.067657
furniture	0.0662991
aluminium	0.0660371
palladium	0.0652478
resin	0.0618036
satin	0.0597678
diamond	0.0583936
Onyx	0.0582983
fur	0.0581104
porcelain	0.0578758
"stained glass"	0.0577922
cardboard	0.0577844
glitter	0.0573368
stucco	0.0558873
Boron	0.0557637
mesh	0.0551369
ivory	0.0549369
Plywood	0.0543489
"building material"	0.0535352
fabric	0.0525901
Coal	0.0519057
wainscoting	0.0518356
"terra cotta"	0.0516938
jade	0.0509651
molding	0.0506336
turquoise	0.0504813
nylon	0.0503295
carpeting	0.0498803
walnut	0.0498674
polyurethane	0.0497569
shaker	0.0497502
silverware	0.0492509
neon	0.0485839
gilt	0.0479437
"rare earth"	0.0475601
Pottery	0.0474919
suede	0.0474809
Maple	0.0472104
linoleum	0.047032
cashmere	0.0467628
laminate	0.0467507
countertops	0.0467269
chandelier	0.0465086
"synthetic fiber"	0.0459089
crystal	0.0455975
Oak	0.0450132
silk	0.0447897
phosphate	0.0447642
adhesive	0.0446328
uranium	0.0445388
Lucite	0.0444356
woodwork	0.0443508
"precious stone"	0.0440318
lumber	0.0437178
"precious metal"	0.0435176
phosphorus	0.0434943
Eames	0.0430783
canvas	0.0429937
Gypsum	0.042891
faucet	0.042782
timber	0.042337
"plate glass"	0.0421184
silicon	0.0420674
varnish	0.0416765
paneling	0.0414851
denim	0.0413104
sequin	0.0412443
wallpaper	0.0410443
sulfur	0.0408837
latex	0.0404531
emerald	0.0404453
Formica	0.0402898
mercury	0.040254
"water fountain"	0.0402159
wool	0.0401938
bamboo	0.0400531
Ruby	0.0400242
footwear	0.0400168
))
(chromium (desc 3044.53) (sims
cadmium	0.334584
manganese	0.225843
Zinc	0.200554
tungsten	0.190066
arsenic	0.190052
bauxite	0.183625
cobalt	0.178317
sulfur	0.17728
cyanide	0.150927
"iron ore"	0.149363
dioxin	0.14754
Boron	0.138097
Copper	0.136273
phosphorus	0.135414
benzene	0.130985
mercury	0.130484
"carbon monoxide"	0.129755
chlorine	0.128977
"hydrogen sulfide"	0.12383
Nickel	0.12206
asbestos	0.117835
"rare earth"	0.112192
uranium	0.110917
magnesium	0.107854
chrome	0.10286
iron	0.0976356
"precious stone"	0.096106
aluminum	0.095842
PCBs	0.0948776
"fish meal"	0.0941017
aluminium	0.0936639
platinum	0.0917249
selenium	0.0909539
fluoride	0.0897936
Sulphur	0.0896946
Radon	0.0890545
hydrocarbon	0.0888976
contaminant	0.0885726
PCB	0.0866462
DDT	0.0865748
pesticide	0.0851864
chloride	0.0848894
Tin	0.0848503
carbon	0.0830849
dioxide	0.0820432
beryllium	0.081581
lycopene	0.0806169
nitrate	0.0788352
"vitamin E"	0.0762653
folate	0.0762552
vermiculite	0.07374
Zonolite	0.0732241
"organic compound"	0.0728779
nitrogen	0.0712292
"fish oil"	0.0710933
mineral	0.0710903
MTBE	0.0709734
ore	0.0705914
radioactivity	0.070461
petroleum	0.0702193
carcinogen	0.0693907
pseudoephedrine	0.0693749
ammonia	0.0691877
tremolite	0.0690715
"vitamin A"	0.068481
toxin	0.0679783
potassium	0.0679255
"green tea"	0.0675368
"ground water"	0.0673395
estrogen	0.0671823
Calcium	0.0670272
titanium	0.0668925
impurity	0.0666856
palladium	0.0662156
"diesel oil"	0.0661868
"poison gas"	0.0661543
"nitrogen oxide"	0.0660464
iodine	0.0656568
"vitamin C"	0.0655087
plutonium	0.0653775
Gypsum	0.0649776
CO@	0.0649266
"carbon dioxide"	0.0644613
carotene	0.0637901
methane	0.0637534
"precious metal"	0.0633062
oxide	0.0627687
"lead poisoning"	0.0627665
methanol	0.0626878
tritium	0.0617627
"vitamin D"	0.0609563
"liquefied natural gas"	0.0609049
ephedra	0.0606503
herbicide	0.0604266
fungicide	0.0603254
nandrolone	0.0601486
talc	0.0597277
sodium	0.059262
echinacea	0.0586442
lithium	0.0584582
malathion	0.0584034
dlr	0.0582827
Sarin	0.0582669
kava	0.0578116
sedative	0.0577524
alloy	0.0577343
ephedrine	0.0576332
salmonella	0.0574581
radiation	0.0572968
refrigerant	0.0568576
groundwater	0.0567683
antioxidant	0.0564836
"folic acid"	0.0564649
formaldehyde	0.0562655
"chemical compound"	0.0560255
glucose	0.055971
K.	0.0558327
melatonin	0.0551802
charcoal	0.054533
"growth hormone"	0.0544429
lumber	0.054401
caffeine	0.0539566
"toxic waste"	0.0531508
"sulfur dioxide"	0.0529868
listeria	0.0524895
CFCs	0.0524846
"Ralf Schumacher"	0.0524172
"steel plate"	0.0521892
GHB	0.0514871
POTASH	0.0512666
"Ginkgo biloba"	0.0511663
coli	0.0507968
"amino acid"	0.0507368
pollutant	0.0507176
acid	0.0506092
"nitrogen dioxide"	0.0505348
Sewage	0.050297
"pig iron"	0.0501614
tar	0.0496391
hormone	0.049366
vitamin	0.0492853
metallurgy	0.0492738
capsaicin	0.0491613
"citric acid"	0.0488502
"sex hormone"	0.048619
particulates	0.0480624
"B vitamin"	0.0475688
petrochemical	0.047553
acetaminophen	0.0472415
lubricant	0.0472312
isotope	0.0470816
cryptosporidium	0.0470035
"air bubble"	0.0468707
gemstone	0.0468344
"powdered milk"	0.0467444
"electric power"	0.0465348
"stainless steel"	0.0464358
anthrax	0.0461276
bacillus	0.0456288
phosphate	0.045559
kerosene	0.0454328
dioxins	0.0450631
Mach	0.0447377
"human waste"	0.0446097
MDMA	0.0444885
nicotine	0.0444639
soot	0.0444403
limestone	0.0443088
cholesterol	0.0438525
"water vapor"	0.0438413
"more than @@@ million tons"	0.0438183
"Richard Mandella"	0.0435807
"mineral resource"	0.0434893
cellulose	0.0434382
"synthetic fiber"	0.0433159
propellant	0.0431561
aspirin	0.0426655
acetone	0.0426264
ginkgo	0.0421376
graphite	0.0420995
E.	0.0418739
Independiente	0.0417314
ethylene	0.0416246
non-oil	0.0414936
wool	0.0412804
"well water"	0.0410367
cashmere	0.0410074
"human activity"	0.0408545
"sewing machine"	0.0408365
"mineral water"	0.0408294
ozone	0.0408166
resin	0.0407946
"fuel oil"	0.0407669
"machine tool"	0.0405347
nutrient	0.0400894
))
(chromosome (desc 11077.2) (sims
DNA	0.178039
genome	0.156328
Gene	0.153004
"Y chromosome"	0.136479
genomes	0.128587
mitochondria	0.102281
protein	0.0903133
molecule	0.0858867
cell	0.0759395
enzyme	0.0716862
"heart valve"	0.0681888
"fruit fly"	0.0653937
organism	0.0650179
mutation	0.064626
"blood cell"	0.0645753
nucleus	0.0632112
Embryo	0.0630485
RNA	0.06
receptor	0.0587122
"nervous system"	0.0582527
antibody	0.056518
"cancer cell"	0.0560716
brain	0.0559678
tissue	0.0557918
bacterium	0.0554592
telomeres	0.0552904
virus	0.0549902
sperm	0.0548119
sequence	0.054622
"circulatory system"	0.0539033
subspecies	0.0534729
hemoglobin	0.0530145
SNPs	0.0526285
"blood vessel"	0.0517913
"Qinghai-Tibet Plateau"	0.0515683
"No. @s"	0.0515419
"amino acid"	0.0515266
"embryonic cell"	0.0509817
metabolism	0.0508919
lineage	0.0490058
"inner ear"	0.0484476
testicle	0.0483529
p@@	0.0476595
bacteria	0.0473986
hormone	0.0472867
Atom	0.0468742
fingerprint	0.0466317
"black box"	0.046164
isotope	0.0460647
microbe	0.0458322
"Siamese twin"	0.0455752
membrane	0.0454723
fragment	0.0454389
cornea	0.0453418
"boxing glove"	0.0453033
"free radical"	0.0452642
fetus	0.0452426
liver	0.0451644
baserunners	0.0447347
semen	0.0445239
"blood type"	0.0444181
stanza	0.0443102
"brain wave"	0.0441321
hippocampus	0.0441217
kidney	0.0440331
tumor	0.043951
breast	0.043937
"day of rest"	0.0439199
peptide	0.0436671
"Hainan Island"	0.0436102
Anatomy	0.0432242
mice	0.0432181
skeleton	0.0431116
artery	0.0430695
"computer file"	0.0430538
antigen	0.0428702
pathogen	0.0428337
ovary	0.0426877
"base runner"	0.0426544
"mine field"	0.0424374
parasite	0.0422002
bookshelf	0.0419409
"circadian rhythm"	0.041721
"working day"	0.041515
worm	0.0412736
"Loess Plateau"	0.0411661
genus	0.0411644
electron	0.0411405
"human body"	0.0410635
"red blood cell"	0.0410558
leptin	0.0408645
fossil	0.0407163
interstates	0.0404635
nuclei	0.040435
T-cells	0.0402983
"test data"	0.040283
blueprint	0.0402615
saliva	0.0402499
))
(chronicle (desc 34121) (sims
"San Francisco Chronicle"	0.238851
"Houston Chronicle"	0.158232
"Los Angeles Times"	0.153206
examiner	0.147333
"Washington Post"	0.143902
"Wall Street Journal"	0.143558
Times	0.142668
"Boston Globe"	0.135073
"Daily News"	0.130191
"Arizona Republic"	0.128415
"San Francisco Examiner"	0.126027
"USA TODAY"	0.124993
"New York Times"	0.124364
"Financial Times"	0.121819
Newsweek	0.11862
"New York Post"	0.11744
"Chicago Tribune"	0.115407
globe	0.115296
"Kansas City Star"	0.113422
"Philadelphia Inquirer"	0.112967
"Washington Times"	0.109737
"Atlanta Journal-Constitution"	0.108443
journal	0.104761
Herald	0.103653
"Denver Post"	0.103161
"Seattle Post-Intelligencer"	0.102895
"Le Figaro"	0.102093
newspaper	0.101373
"Dallas Morning News"	0.0998349
magazine	0.0991765
"Cox Newspapers"	0.0990448
"New Straits Times"	0.0970232
"Village Voice"	0.0963349
"Fort Worth Star-Telegram"	0.0962087
"Sydney Morning Herald"	0.0950302
"Miami Herald"	0.0940683
Haaretz	0.0937801
Star-Telegram	0.0930317
"New York Observer"	0.0916039
Post-Intelligencer	0.0904772
"Daily Telegraph"	0.0904568
tribune	0.0900583
"Associated Press"	0.0898994
Star-Ledger	0.0861369
"San Jose Mercury News"	0.0856482
Reforma	0.0843073
"International Herald Tribune"	0.0842047
"Boston Herald"	0.0838125
"New York Daily News"	0.083176
"New England Journal"	0.0820283
pi	0.0813191
"Austin American-Statesman"	0.0809633
tabloid	0.0804973
Newsday	0.0803322
"Palm Beach Post"	0.0800096
"Sports Illustrated"	0.0796772
"New York Times Magazine"	0.0793696
BBC	0.0789503
"Le Monde"	0.0788809
Kommersant	0.0784744
"Business Week"	0.0783424
"Des Moines Register"	0.0782697
"San Antonio Express-News"	0.0782453
"Asahi Shimbun"	0.0768327
"Seattle Times"	0.0768202
"New Republic"	0.0768127
"Detroit Free Press"	0.0767282
"Straits Times"	0.0760625
"Dow Jones Newswires"	0.0756066
"Jerusalem Post"	0.0752093
paper	0.0751703
Esquire	0.0739964
"TV guide"	0.0737196
telegraph	0.073645
"Atlanta Constitution"	0.0735465
"Der Spiegel"	0.073321
"El Pais"	0.072944
Granma	0.0728598
"vanity fair"	0.07267
"Detroit News"	0.0726
"Rolling Stone"	0.0725703
"World Report"	0.0725377
weekly	0.0723197
Inquirer	0.0721491
"Daily Mail"	0.0711488
Enquirer	0.0711383
JAMA	0.0708668
"South China Morning Post"	0.0698221
"Advertising Age"	0.069808
memoir	0.0688732
"Guangming Daily"	0.0680163
publication	0.0673301
"National Post"	0.0673025
"Bloomberg News"	0.0672701
biography	0.0669717
edition	0.0663214
al-Hayat	0.0658075
"Koha Ditore"	0.0657786
vogue	0.0652224
Kron	0.0651101
tale	0.0649254
"Los Angeles Daily News"	0.0644509
Lancet	0.0644271
"television station"	0.0642512
"Free Press"	0.0639268
Bild	0.0637761
"TV station"	0.0630438
IRNA	0.0630067
"National Enquirer"	0.0625441
"Modern Library"	0.0625382
daily	0.0617282
Hearst	0.0615041
"Times Mirror"	0.0611289
CNN	0.0610219
"CBS News"	0.0607161
"Chicago Sun-Times"	0.0605368
"Sporting News"	0.0603961
UPI	0.0601119
salon	0.0600063
gazette	0.0597886
"news service"	0.0595823
"U.S. News"	0.0594396
Encyclopedia	0.0594362
Guardian	0.0591353
slate	0.0590252
newsletter	0.058975
"Dayton Daily News"	0.0586723
"Atlantic Monthly"	0.0583542
annals	0.0583243
Netscape	0.0580382
"Random House"	0.057884
Reuters	0.0577984
"New Vision"	0.0577086
Warner-Lambert	0.0575104
"Bankers Trust"	0.0573106
narrative	0.0572884
"ABC News"	0.0570253
"Census Bureau"	0.0565636
Eurostat	0.0563762
autobiography	0.0560631
"Telecom Italia"	0.0559837
GQ	0.0553399
"New Yorker"	0.0553072
Airtouch	0.054597
Lycos	0.0545524
Tennessean	0.0540835
"Consumer Reports"	0.0539568
"U S West"	0.0538872
"Jakarta Post"	0.0533673
novel	0.0526862
"US Airways"	0.0526688
AP	0.0526677
"Israel Radio"	0.0524901
NatWest	0.0517718
"Xinhua News Agency"	0.0517519
yearbook	0.0517473
portrait	0.0515524
"China Daily"	0.0514781
ARCO	0.0513316
dictionary	0.0513041
"British Broadcasting Corp."	0.051089
catalog	0.0510691
"radio station"	0.0509851
"Time Warner"	0.0507342
GANNETT	0.0506226
ESPN	0.0504761
bulletin	0.050435
Tous	0.0504253
CBs	0.0502328
Saga	0.0502077
BofA	0.0500333
account	0.0500289
Xinhua	0.0496642
cookbook	0.0496559
Volvo	0.0494705
"McDonnell Douglas"	0.0494224
Gallup	0.0493745
manuscript	0.0491095
media	0.0489237
Mannesmann	0.048526
"trade publication"	0.0483566
Mediaone	0.0483284
"Learning Co."	0.0483047
playboy	0.0483019
Barron	0.0481892
"National Geographic"	0.0479517
"Daily Star"	0.0479318
Noticias	0.0478854
"Jordan Times"	0.0477374
Journal-Constitution	0.0477266
"Conde Nast"	0.0472371
"tabloid newspaper"	0.0471842
"roll call"	0.0469673
PolyGram	0.0468857
chronology	0.0468523
diary	0.0468386
textbook	0.0466812
publisher	0.0466662
article	0.0466417
AltaVista	0.0465273
))
("Chronicle Books" (desc 1341.77) (sims
"William Morrow"	0.274763
"Broadway Books"	0.234181
"Houghton Mifflin"	0.191699
"Warner Books"	0.177647
"Henry Holt"	0.17282
Ballantine	0.160677
"Oxford University Press"	0.157069
"Free Press"	0.155981
Scribner	0.146171
"Farrar, Straus &AMP; Giroux"	0.141458
Knopf	0.140801
"Simon &AMP; Schuster"	0.140615
Doubleday	0.139379
Hyperion	0.132933
HarperCollins	0.13131
"Basic Books"	0.127303
"W.W Norton"	0.124469
"Random House"	0.122014
MacMillan	0.116054
"Pocket Books"	0.11264
Abrams	0.107892
Bantam	0.105454
scholastic	0.103635
workman	0.10128
Schuster	0.0965515
Morrow	0.0939834
Delacorte	0.0911406
Prima	0.0889346
Berkley	0.0871142
"Satanic Verses"	0.0859805
Algonquin	0.0849864
"St. Martin"	0.0842942
Riverhead	0.0823618
Norton	0.0779709
"San Francisco Chronicle"	0.0772933
capo	0.0739208
Dutton	0.0735524
Avon	0.0732028
Gladstone	0.0697369
"Modern Library"	0.0689486
"train ticket"	0.0681504
HARDCOVER	0.0671525
Wiley	0.0663677
Putnam	0.0659339
Star-Telegram	0.0643107
"National Enquirer"	0.063551
"Fort Worth Star-Telegram"	0.0621588
"Larry Flynt"	0.0615608
"New York Times Co."	0.0610505
ZIFF-DAVIS	0.0609678
"Electronic Arts"	0.0604805
McGraw-Hill	0.0593251
paperback	0.0586784
"William Kristol"	0.056685
"Times Mirror"	0.0535428
"Des Moines Register"	0.0532718
"San Francisco Examiner"	0.0516542
"San Antonio Express-News"	0.0516471
"trade publication"	0.0514629
"Time Inc."	0.0506007
DeVille	0.0505278
Broderbund	0.0503873
CNET	0.0497647
Enquirer	0.0495681
yearbook	0.0495562
"Evening Standard"	0.049465
BofA	0.0494336
Mega	0.0491601
"Detroit News"	0.0491536
"Winning Colors"	0.0485823
"Esther Dyson"	0.0482922
almanac	0.0480267
Tootsie	0.0479423
"Reed Elsevier"	0.047238
"Hearst Magazines"	0.0471724
JAMA	0.0470751
"New Republic"	0.0469511
"U.S. News"	0.0469252
"Weekly Standard"	0.0467894
"Gannett Co."	0.0463551
"Sporting News"	0.04634
"Dow Jones &AMP; Co."	0.0459863
"Honda Accord"	0.0459135
"American Century"	0.0457848
Britannica	0.0454881
IDG	0.045235
"Steven Brill"	0.0451975
Kron	0.0450435
"Atlanta Constitution"	0.0450221
"Koha Ditore"	0.0450118
"musical comedy"	0.0437888
Fingerhut	0.0437255
"Steve Mariucci"	0.043543
Comsat	0.0435311
"New York Observer"	0.043265
"food shop"	0.0431486
"Earth Summit"	0.0431376
"National Journal"	0.04302
"New Straits Times"	0.0427275
merlot	0.042586
"Atlanta Journal"	0.0424968
"Orange County Register"	0.0424831
Informix	0.0424082
"Ameritech Corp."	0.0421058
"El Mundo"	0.0418194
"San Jose Mercury News"	0.0416683
Orion	0.0415188
"Cabernet Sauvignon"	0.0414194
"Martha Stewart Living"	0.0410592
"Hearst Newspapers"	0.040945
"Village Voice"	0.0408765
"New England Journal"	0.0407696
"Parent Trap"	0.0407236
"Pinot noir"	0.0406495
"clothing chain"	0.040611
Grange	0.0406057
SGI	0.0405603
"Southern Democrats"	0.0405399
XYLAN	0.0403449
"Austin American-Statesman"	0.0403193
"Saturday Evening Post"	0.0401731
easements	0.0401692
"Morningstar Inc."	0.0401266
"Learning Co."	0.0400588
))
("Chronicle Publishing" (desc 881.84) (sims
"Thermo Electron"	0.19506
RJR	0.185096
SAirGroup	0.157541
"Gap Inc."	0.155049
YankeeNets	0.153041
Chris-Craft	0.143358
"USA Networks"	0.139824
"Times Mirror"	0.136583
ACOG	0.135589
ENTERGY	0.133873
"National Grid"	0.133388
"Times Co."	0.129344
TYCO	0.127917
Sibneft	0.127577
"Stride Rite"	0.126169
"Niagara Mohawk"	0.123181
"Con Ed"	0.123097
Lilco	0.120971
"Gulf Air"	0.120289
NatWest	0.118459
"U S West"	0.117998
SmithKline	0.117985
"Harvard Pilgrim Health Care"	0.116913
GANNETT	0.116441
Halliburton	0.115485
"True North"	0.11521
ALZA	0.114477
Pacifica	0.11415
McKesson	0.113778
Tenneco	0.113381
Livent	0.113321
VENATOR	0.113073
UAM	0.112674
BCE	0.112009
"Main Events"	0.111605
ACB	0.110886
Marketspan	0.110873
"P&AMP;G"	0.11012
Sunbeam	0.10939
Hoechst	0.108554
"Knight Ridder"	0.107927
NORTHROP	0.10696
Emulex	0.106692
"Burlington Northern"	0.106071
"Wine Institute"	0.105594
"Australian Cricket Board"	0.10523
AMR	0.105001
Airtouch	0.104727
SOCOG	0.104681
Conoco	0.103025
Warnaco	0.101655
Harrods	0.100458
Mannesmann	0.100406
YPF	0.0979143
"KCP&AMP;L"	0.0978305
"Koch Industries"	0.0977415
Gazprom	0.0974196
Seagate	0.0969163
"Sara Lee"	0.0960941
COLTEC	0.0952992
CMGI	0.0952802
AlliedSignal	0.0951364
Primedia	0.0950439
SAA	0.094658
Roberds	0.0945015
Asarco	0.0943471
Viacom	0.0938777
ZCCM	0.0936981
Sidanko	0.0936428
Chiron	0.0929873
Rhone-Poulenc	0.0929098
Ansett	0.0925999
Pairgain	0.0922749
"Ford Motor"	0.0920908
CUC	0.0920282
"Hearst Corp."	0.0915455
"Royal Bank"	0.0912406
Bertelsmann	0.0911841
Cendant	0.0910316
"media property"	0.0898548
F.A	0.0897867
Avondale	0.0895096
AutoNation	0.0893515
Georgia-Pacific	0.0891967
Texaco	0.0887751
PRIMESTAR	0.0887574
"American Family Publishers"	0.0883573
GAAF	0.0881909
Biogen	0.0877497
FPL	0.0876832
Comsat	0.0876815
"RJR Nabisco"	0.087471
HKMA	0.0874182
"Cable &AMP; Wireless"	0.0870023
IAI	0.0869752
Medtronic	0.0867241
CalPERS	0.0865519
Warner-Lambert	0.0865516
WebMD	0.0863082
MTA	0.0858455
ATHOME	0.0858416
Aetna	0.0857263
EMC	0.0856825
MetLife	0.0856237
"Harvard Pilgrim"	0.085446
"Housing Authority"	0.0852237
Mattel	0.0851963
Asda	0.085054
ZIFF-DAVIS	0.0848749
Scania	0.0846275
Starwood	0.0844542
UAL	0.0842618
Cabletron	0.0842036
"Telecom Italia"	0.0841475
Humana	0.0834256
Alcan	0.0833952
APA	0.0832558
Daimler-Benz	0.0830573
"Canal Plus"	0.0830192
Genentech	0.0830009
Massport	0.0826434
ARCO	0.0824929
Pepsico	0.0824141
Berkshire	0.0823447
Honeywell	0.0822823
SGI	0.0822793
ITF	0.0821514
Nabisco	0.0814135
GTE	0.0813672
Generali	0.0812659
EOHR	0.0811545
Totalfina	0.0807862
Mobil	0.0805942
"Phelps Dodge"	0.0803143
NASD	0.0802973
Dresdner	0.080284
SLOC	0.0801154
Wada	0.0797636
Northpoint	0.079555
REVLON	0.0795415
USATF	0.0794934
co-op	0.0794651
Viag	0.0787797
"shoe store"	0.0787026
Vodafone	0.0784084
BankBoston	0.0780748
"Bank of Scotland"	0.0775678
"Hambrecht &AMP; Quist"	0.0774815
"GE Capital"	0.077475
"community newspaper"	0.0774227
LAUSD	0.0768137
SCLC	0.0767991
Mediaone	0.0767866
Ciena	0.0767816
Bristol-Myers	0.076711
AIG	0.0766315
Instinet	0.0766025
Volvo	0.0764697
"J&AMP;J"	0.0764025
FDIC	0.0762515
AMP	0.0762329
Idris	0.0761611
USOC	0.0761155
Cablevision	0.0757378
"Pacific Lumber"	0.0754465
Toysmart.com	0.0753748
Hoke	0.0752092
"Kraft Foods"	0.0747708
Daimler	0.0747351
WPP	0.0747243
Qwest	0.0747034
"Sprint Corp."	0.074658
Transmeta	0.0746436
COSCO	0.0746095
Lockheed	0.074594
"Rite Aid"	0.074591
Tandy	0.0745656
"News Corp."	0.0739996
"El Al"	0.0739838
"US West"	0.0739555
Infoseek	0.0739011
CellPro	0.0734964
Vivendi	0.0734287
Healtheon/WebMD	0.0733299
Scripps	0.0732433
"Hongkong Telecom"	0.0730092
JAL	0.0728614
"English Football Association"	0.072711
Paxson	0.0725485
AXA	0.0724372
PEOPLESOFT	0.0723625
VICKERS	0.0722753
Nortel	0.0720277
Kozeny	0.0719378
Univision	0.0719322
PSE	0.0717053
CITIC	0.0716717
"U.S. Trust"	0.0716588
"New Covenant"	0.0714849
CSX	0.0714085
))
(chronicler (desc 5447.2) (sims
essayist	0.0778987
dramatist	0.0732852
novelist	0.0700218
scribe	0.0680326
evocation	0.06788
"art historian"	0.0677437
portraitist	0.0671405
cartoonist	0.0657676
"public speaker"	0.0652272
historian	0.0650864
orator	0.0643307
cinematographer	0.0635329
innovator	0.0627854
thinker	0.0625201
philosopher	0.0621404
poet	0.0620485
personification	0.0617684
storyteller	0.0614926
biographer	0.0613074
"character actor"	0.0596814
distillation	0.0587711
aficionados	0.0582553
arranger	0.0580586
humorist	0.0565538
sportswriter	0.0563656
Playwright	0.0562813
songwriter	0.0559934
folklorist	0.0557202
"Miguel Indurain"	0.0556883
violinist	0.0549251
discoverer	0.0547548
microcosm	0.0545509
"man of letters"	0.0544969
cellist	0.0535079
commentator	0.0534827
painter	0.0531676
"talent scout"	0.0530985
interpreter	0.0526362
courtesan	0.0525825
recluse	0.0525139
re-creation	0.0516825
psychoanalyst	0.0516328
sculptor	0.0516008
aficionado	0.051174
depiction	0.050724
linguist	0.050293
adventurer	0.050244
newspaperman	0.0501189
connoisseur	0.0499203
miler	0.0499073
"guardian angel"	0.049889
auteur	0.0498107
theologian	0.0494192
admirer	0.0489009
portent	0.0484772
filmmaker	0.0484344
adopters	0.0481132
acquirer	0.0475888
"nook and cranny"	0.0475097
arbiter	0.0474951
vicissitude	0.0473629
preservationists	0.0472593
wordsmith	0.0468994
raconteur	0.0468016
Explorer	0.046731
"opera star"	0.0466859
illustrator	0.0466644
rebounders	0.0466291
conqueror	0.0465683
reviewer	0.0465521
"divorce lawyer"	0.046128
"bird watcher"	0.0460586
"melting pot"	0.0459512
visionary	0.0458964
wellspring	0.045853
crooner	0.0457271
stylist	0.0455845
coauthor	0.0454909
winemaker	0.0453955
premonition	0.0453928
guru	0.0452858
impresario	0.0451791
singer-songwriters	0.0451661
detritus	0.0451059
educator	0.0448902
endorser	0.0448406
curator	0.0448309
filmmakers	0.0448255
ballplayer	0.0447646
teller	0.0447098
confidante	0.0446384
annals	0.0446106
"white person"	0.0445581
purveyor	0.0444296
manipulator	0.0442816
"fall guy"	0.0442155
fullness	0.0441648
"written record"	0.0441401
touchstone	0.044113
axiom	0.0441008
"stage director"	0.0439784
naturalist	0.0439349
Litigator	0.0438764
narrator	0.0438243
archivist	0.0437409
headhunter	0.0435769
satirist	0.0435745
accoutrement	0.04355
jurist	0.0435053
ornithologist	0.0434644
instrumentalist	0.0433119
Sportsman	0.0431655
enormity	0.0431536
columnist	0.0430798
"cross section"	0.0430756
"press agent"	0.0430603
"public servant"	0.0430056
"jazz musician"	0.0429319
speechwriter	0.0428503
varietals	0.0428137
"whipping boy"	0.0427935
procrastinator	0.0425946
protector	0.0423697
translator	0.0423188
"leading lady"	0.0423118
diorama	0.0422785
statesman	0.0422062
vestige	0.0421526
buff	0.0421293
hurler	0.0420467
"social scientist"	0.0419675
pianist	0.04181
devotee	0.0417644
"television star"	0.0417138
ballerina	0.0416383
sociologist	0.0415948
experimenter	0.0415946
comedian	0.0415183
Maven	0.0414511
"sounding board"	0.0414466
has-been	0.0413857
accouterment	0.0413251
statesmen	0.0412974
lyricist	0.0411739
alderman	0.0411209
conservationist	0.0410629
totem	0.0410045
"fashion designer"	0.040861
underbelly	0.0408058
evaluator	0.0405785
pacifist	0.0405097
"big leaguer"	0.0403983
"literary agent"	0.040375
"stage manager"	0.0402336
physicist	0.0401688
seafarer	0.0400892
shallowness	0.0400711
embodiment	0.0400281
))
(chrono (desc 1588.6) (sims
diag	0.292253
ECON	0.151688
locator	0.145289
Financials	0.131446
timeline	0.123392
chronology	0.098425
Diagram	0.0918349
Dems	0.0865162
folio	0.0813629
overview	0.0781131
qtr	0.0738971
COS.	0.0670896
"Smith Barney"	0.0571793
All-Tech	0.0510157
"United Nations Conference"	0.0479701
Passat	0.0464959
"CMGI Inc."	0.0463386
ne	0.0456681
"pretax loss"	0.0448146
"U.N. Conference"	0.0446595
Moakley	0.0436909
McInnis	0.0419737
Packard	0.0400995
"Bjarte Engen Vik"	0.0400243
))
(chronology (desc 9314.89) (sims
timeline	0.12129
chrono	0.098425
overview	0.0959954
diag	0.0881309
summary	0.0876998
description	0.0783797
recounting	0.0768102
Bibliography	0.0747479
checklist	0.0682602
glossary	0.0681657
narrative	0.0678164
synopsis	0.0655557
Diagram	0.0617394
chart	0.0615575
analysis	0.0604498
booklet	0.0593463
explanation	0.0588911
text	0.0574769
biography	0.05509
Financials	0.055077
interpretation	0.0546106
dossier	0.054159
duration	0.0533796
transcript	0.0529463
Compendium	0.0529147
Roundup	0.0526423
contour	0.0523719
assessment	0.0522942
"sum total"	0.0521263
stats	0.0518561
"case history"	0.0517098
sequence	0.0516872
graph	0.0515184
calendar	0.051461
"floor plan"	0.0504216
timing	0.0498076
questionnaire	0.0496725
itinerary	0.0495306
genealogy	0.0490704
definition	0.0489513
recap	0.0489288
"historical record"	0.0487896
analyses	0.0485927
"application form"	0.0485609
frequency	0.0480814
translation	0.0475675
dictionary	0.0473726
manual	0.047356
diary	0.0473222
storyboards	0.0473087
illustration	0.0473065
excerpt	0.0470241
Encyclopedia	0.046907
dynamics	0.0468664
"financial statement"	0.0468455
directory	0.0465108
quiz	0.0460226
anecdote	0.0459494
breakdown	0.0458466
summation	0.0458403
"third night"	0.0457347
spate	0.0456707
documentation	0.0452427
"weather forecast"	0.0449921
timetable	0.0447589
"reference book"	0.0446968
"circumstantial evidence"	0.0446897
depiction	0.0446617
recollection	0.044656
context	0.0446257
storyline	0.0445508
locator	0.0444362
primer	0.0443057
snapshot	0.0442423
"legal brief"	0.0440773
"New Wave"	0.0439277
quotation	0.0434411
treatise	0.0434383
aftermath	0.0433231
recurrence	0.0432343
reminiscence	0.0429257
Standards	0.0428873
memoir	0.0428285
roadmap	0.042577
scope	0.0423852
dramatization	0.042316
"road map"	0.0423037
arc	0.0422863
trajectory	0.0422285
Results	0.041702
premonition	0.0415845
essay	0.0415563
repetition	0.0415374
statistics	0.0415278
snippet	0.0415052
manuscript	0.0414796
critique	0.0414036
rebuttal	0.0413982
handbook	0.0413708
"head count"	0.0411831
reexamination	0.041137
evaluation	0.0410156
Events	0.0409641
"Revised Version"	0.0409232
memo	0.0408554
probability	0.0406207
ramification	0.0405733
rendering	0.0405706
logic	0.0402506
re-creation	0.0402483
litany	0.0402285
))
(chrysanthemum (desc 3595.63) (sims
tulip	0.191004
carnation	0.187861
peony	0.167103
dahlia	0.151422
hibiscus	0.149666
lily	0.143513
Daisy	0.138392
orchid	0.136109
hydrangea	0.134451
zinnia	0.127891
marigold	0.125538
daffodil	0.125115
gardenia	0.123987
lilac	0.117791
petunia	0.116069
poinsettia	0.114517
geranium	0.113155
snapdragon	0.109763
pansy	0.109439
jasmine	0.105712
impatiens	0.103025
violet	0.102304
azalea	0.101675
goldenrod	0.0988866
camellia	0.0940259
rhododendron	0.0917447
sunflower	0.0868414
sedum	0.084499
amaryllis	0.083954
poppy	0.0838256
Wisteria	0.0825733
lavender	0.0821726
mum	0.0799732
Iris	0.0789234
bougainvillea	0.0772647
canna	0.0751702
wildflower	0.0722096
aster	0.0707056
Lotus	0.0696354
perennial	0.0684969
thistle	0.0683717
fern	0.0680767
dogwood	0.0665912
litchi	0.0656677
Lantana	0.065053
chamomile	0.0637975
cactus	0.0634005
bauhinia	0.0627467
"black-eyed Susan"	0.0623098
clematis	0.0615976
anemone	0.0612687
coca	0.06114
cacti	0.0591703
petal	0.0591486
"day lily"	0.0588935
"sweet pea"	0.0587419
"morning glory"	0.0585377
croaker	0.0568465
honeysuckle	0.056498
WordPerfect	0.0562178
fuchsia	0.0552904
succulent	0.0534177
verbena	0.0529645
"picket fence"	0.0511742
peach	0.0498734
dandelion	0.0497653
heirloom	0.049426
Magnolia	0.0489865
hosta	0.0489337
"ping-pong ball"	0.0485762
fescue	0.048212
lantern	0.0473173
icicle	0.0472799
led	0.0472357
tassel	0.0470786
hyacinth	0.0464007
Lamborghini	0.0461294
shrub	0.0459243
ginseng	0.0454519
holly	0.0449235
Viola	0.0444414
fungus	0.0443531
canola	0.043899
bouquet	0.0434169
crocus	0.0431793
"hard hat"	0.0426666
foliage	0.0426259
improv	0.0416846
canary	0.041552
"feather boa"	0.0411599
artichoke	0.0410314
"Bengal tiger"	0.04086
"ground cover"	0.040707
cabbage	0.0401759
watermelon	0.0400356
))
(Chrysler (desc 18063.7) (sims
"Chrysler Corp."	0.246909
DaimlerChrysler	0.24246
Renault	0.204726
Volkswagen	0.203823
Nissan	0.197268
Volvo	0.192448
Toyota	0.189307
Fiat	0.189153
BMW	0.186322
Ford	0.182354
Mazda	0.174372
Audi	0.171139
Honda	0.167956
Mercedes-Benz	0.165593
"General Motors"	0.162762
"Ford Motor Co."	0.161613
"General Motors Corp."	0.155633
Daimler	0.152096
Opel	0.150367
"Ford Motor"	0.149313
VW	0.148878
GM	0.148732
dodge	0.146709
"Time Warner"	0.138459
Saab	0.138089
Mitsubishi	0.1378
MCI	0.136658
Peugeot	0.136639
Hyundai	0.13613
Daimler-Benz	0.135949
Lexus	0.135795
BankAmerica	0.134678
"Bankers Trust"	0.130515
Kodak	0.13025
Daewoo	0.129159
ARCO	0.128677
Mobil	0.12646
Rolls-Royce	0.126157
"Mercedes Benz"	0.12603
Seagram	0.124649
Porsche	0.124255
"Daimlerchrysler AG"	0.121527
Citicorp	0.121255
Cadillac	0.121133
Buick	0.120681
"Ford Motor Company"	0.120435
"Bell Atlantic"	0.12026
WorldCom	0.120254
Viacom	0.120069
Citroen	0.119923
rover	0.119744
GTE	0.119499
"McDonnell Douglas"	0.118638
Isuzu	0.118471
Exxon	0.118339
BofA	0.118197
"General Electric"	0.117863
Amoco	0.117578
"U.S. Trust"	0.117002
Warner-Lambert	0.116999
Oldsmobile	0.116587
BankBoston	0.11561
Motorola	0.115037
Acura	0.113682
Ameritech	0.11302
"RJR Nabisco"	0.112537
Mercedes	0.112169
"Toyota Motor Corp."	0.112102
Kia	0.11117
Subaru	0.109575
"Thermo Electron"	0.109511
"U S West"	0.109047
Compaq	0.108871
"Bankers Trust Corp."	0.108775
"US Airways"	0.107917
Coca-Cola	0.107738
Bertelsmann	0.107703
Paribas	0.107171
Siemens	0.106721
IBM	0.105934
automakers	0.105895
TCI	0.105614
EarthLink	0.105213
Boeing	0.105054
Chevrolet	0.104744
"MCI WorldCom"	0.104658
Cisco	0.104426
"Sprint Corp."	0.103957
Monsanto	0.103898
Norwest	0.103792
Infiniti	0.102545
Citigroup	0.102365
"Volkswagen AG"	0.102169
Qwest	0.10196
Unilever	0.101883
Sony	0.101353
Ge	0.101304
"Nissan Motor Co."	0.100954
G.M	0.10057
Daimler-Chrysler	0.100544
"Deutsche Telekom"	0.100502
"Telecom Italia"	0.100222
Mattel	0.100217
Mediaone	0.100123
Saturn	0.0999428
Bridgestone	0.0998183
Astra	0.0997543
"Deutsche Bank"	0.0996861
GMC	0.0995616
automaker	0.099446
Raytheon	0.0992539
Pfizer	0.0990231
Firestone	0.0989347
Skoda	0.0988395
Intel	0.0986746
UAW	0.098277
REVLON	0.0982249
Xerox	0.097992
BellSouth	0.097937
Chevron	0.0979076
SBC	0.0978119
Delphi	0.0976692
"American Home Products"	0.097228
"GTE Corp."	0.0971504
Plymouth	0.0970534
Mannesmann	0.0970062
"Times Mirror"	0.0966699
Honeywell	0.096512
MindSpring	0.0963589
ALZA	0.0959539
"BP Amoco"	0.0954484
Vivendi	0.0953987
"Wells Fargo"	0.09528
NationsBank	0.0952682
Nabisco	0.0950425
"Learning Co."	0.0946655
Broderbund	0.0946557
"Global Crossing"	0.0945466
Pairgain	0.0944918
"British Aerospace"	0.0939863
Dell	0.0939048
"Travelers Group"	0.0938971
EMC	0.0937798
"Time Warner Inc."	0.0937718
Pepsico	0.0936861
Amgen	0.093488
Gillette	0.0933393
"Bank of America"	0.0933126
Bridgestone/Firestone	0.0932308
"HBO &AMP; Co."	0.0931993
Texaco	0.0931794
Stratus	0.0930353
"Time Inc."	0.0927866
NatWest	0.0922955
Enron	0.09203
Cendant	0.0918791
Hewlett-Packard	0.0918329
NIKE	0.0918238
"American Home"	0.0913524
AutoNation	0.0911103
VoiceStream	0.0910492
Netscape	0.0909399
Aetna	0.0909184
PolyGram	0.0908756
TYCO	0.0908094
"General Electric Co."	0.0907499
"Philip Morris"	0.0906552
"Boeing Co."	0.0901035
McKesson	0.089967
SmithKline	0.089952
Comcast	0.0899341
Merrill	0.0896351
Lockheed	0.0895666
Sunbeam	0.0894583
Lycos	0.0891789
Telefonica	0.0890378
Pontiac	0.089004
"BankBoston Corp."	0.0889064
"Bay Networks"	0.0888398
Cabletron	0.0886033
"Nippon Credit"	0.0882948
AlliedSignal	0.0876057
AOL	0.0874204
"News Corp."	0.0873795
"Coca-Cola Co."	0.0873654
Novell	0.0871623
Tropicana	0.0871487
RJR	0.0871004
Nortel	0.0868402
UAL	0.0868136
"Atlantic Richfield Co."	0.0867833
Polaroid	0.0863956
"Land Rover"	0.0860914
Disney	0.0858763
Airtouch	0.0858185
"Lockheed Martin"	0.0856771
ascend	0.0855378
"Procter &AMP; Gamble"	0.0855004
CUC	0.0851844
"Daimler-Benz AG"	0.0847356
))
("Chrysler Building" (desc 1398.82) (sims
"Statue of Liberty"	0.125355
"World Trade Center"	0.119769
"Golden Gate Bridge"	0.107832
"Empire State Building"	0.084834
"Unit @"	0.0840863
"Brooklyn Bridge"	0.0823105
"Grand Hotel"	0.0732481
"Boland Hall"	0.0707497
"Rockefeller Center"	0.0703849
"Rainbow Room"	0.0702205
"Eiffel Tower"	0.0682612
Colosseum	0.0654524
"Whitney Museum"	0.0651928
Harrods	0.0627717
"Washington Senators"	0.0603135
"Dhaka Stock Exchange"	0.0588042
"bank building"	0.0587274
sawmill	0.0581085
"Sydney Opera House"	0.0579551
"Parliament House"	0.0576258
Sheraton	0.0573978
"Hyatt Regency"	0.0566592
Moroni	0.0561071
"row house"	0.0537525
"National Enquirer"	0.0536643
spire	0.0533376
PRIMESTAR	0.0533238
"town house"	0.0529814
"Chronicle Publishing"	0.0524917
"Twin Towers"	0.0513776
"baseball club"	0.0513671
"beauty salon"	0.0510489
"Ford Foundation"	0.050715
"New York State Theater"	0.0506435
"Washington Monument"	0.050491
"first school"	0.0501337
"summer house"	0.049977
two-story	0.0498832
"San Jose Mercury News"	0.0498209
"Oliver McCall"	0.0497512
"trucking company"	0.0496464
"general store"	0.0491313
"funeral home"	0.0488419
"stock company"	0.0487947
"rooming house"	0.048722
"Joint Strike Fighter"	0.0486811
airship	0.048655
"Paramount Pictures"	0.0485941
"Michael Grant"	0.0485119
"Metropolitan Opera House"	0.0484817
"Ebbets Field"	0.0482688
"tropical rain forest"	0.048212
Snapple	0.0480904
"New York Harbor"	0.0479621
"retail chain"	0.0479254
"flour mill"	0.0475951
"Continental Basketball Association"	0.0473772
"domed stadium"	0.0470889
"law practice"	0.0469872
"Miller Park"	0.0466216
Bellagio	0.0465074
brownstone	0.0463283
hypermarket	0.0460749
"media property"	0.0455903
"repair shop"	0.0455396
"Atlantic Richfield Co."	0.0452406
Enquirer	0.0449718
"Nassau Coliseum"	0.0449647
guesthouse	0.0449568
"Hollywood studio"	0.0448047
"Stars &AMP; Stripes"	0.0447676
"clothing store"	0.0446904
"language school"	0.0445334
"Grand Ole Opry"	0.0445235
"Awesome Again"	0.0442254
NMD	0.0440757
Ruehe	0.0440245
hotel-casino	0.0439085
"New Carissa"	0.0438514
"engagement ring"	0.0435885
"Bankers Trust Corp."	0.0435522
"California Angels"	0.0435492
"Kraft Foods"	0.0434449
Savoy	0.0434264
"day care center"	0.0432182
"Le Cirque @@@@"	0.0431417
Waldorf-Astoria	0.043036
IAI	0.0428763
footbridge	0.0428722
"computer business"	0.0428475
T-@@	0.0428447
"Sheraton Hotel"	0.0427423
edifice	0.0427224
Supercenters	0.0427097
"shoe store"	0.0426144
"National Missile Defense"	0.0425889
"Saks Fifth Avenue"	0.0425783
"Catherine Deneuve"	0.0424739
"Maple Leaf Gardens"	0.0422161
"nuclear family"	0.0421108
"beach house"	0.0421001
bookshop	0.0420669
hacienda	0.0420428
Girlfight	0.0420077
"highway system"	0.0419941
"skating rink"	0.0419105
chalet	0.0418293
"Labor office"	0.0417741
scaffold	0.0417023
delicatessen	0.0416565
"furniture company"	0.041527
Bloomingdale's	0.0413561
"Pacific Exchange"	0.0413255
"credit system"	0.0412524
"jewelry store"	0.0412178
"Fox Network"	0.0411769
"National Theater"	0.0411434
"Millennium Dome"	0.0410843
Boomerang	0.0409294
"Summer Palace"	0.0409095
"Vanguard Group"	0.0408386
"Belmont Learning Center"	0.0406529
"Frontier Corp."	0.0406323
pizzeria	0.0405976
lamasery	0.0405105
Picassos	0.040468
VCD	0.0404097
ritz	0.0401553
"Mobil Corp."	0.040085
"Sistine Chapel"	0.0400484
"art gallery"	0.040041
))
("Chrysler Corp." (desc 5019.85) (sims
Chrysler	0.246909
"Daimlerchrysler AG"	0.215201
"Bankers Trust Corp."	0.214274
"Volkswagen AG"	0.160953
"General Motors Corp."	0.160061
"United Auto Workers"	0.158619
Daimler-Benz	0.15574
"Mobil Corp."	0.154099
"Toyota Motor Corp."	0.153944
"Daimler-Benz AG"	0.150678
DaimlerChrysler	0.147399
"Sprint Corp."	0.146589
"Nissan Motor Co."	0.144748
"Ford Motor Co."	0.142808
"Atlantic Richfield Co."	0.142193
"Atlantic Richfield"	0.141434
"U.S. Trust"	0.139193
BankAmerica	0.138726
"Bankers Trust"	0.138284
Paribas	0.138158
"U S West"	0.136676
Ameritech	0.136647
"Fred Meyer"	0.133256
"BankBoston Corp."	0.133067
"Ameritech Corp."	0.132816
"Bay Networks"	0.132688
"Lotus Development Corp."	0.132496
"MCI Communications Corp."	0.131377
Renault	0.131244
MCI	0.129503
Warner-Lambert	0.129112
"McDonnell Douglas"	0.127628
"BankAmerica Corp."	0.126537
ARCO	0.126089
"GTE Corp."	0.125043
"U S West Inc."	0.124616
"Times Mirror Co."	0.124135
Amoco	0.122809
Mobil	0.122024
Citicorp	0.121596
"Ford Motor Company"	0.12114
Hyundai	0.120386
ALZA	0.118393
"Digital Equipment Corp."	0.117763
Volkswagen	0.117716
GTE	0.116901
"Times Mirror"	0.115145
"Tele-Communications Inc."	0.115081
"Ford Motor"	0.114845
"Burlington Northern"	0.114024
"Northeast Utilities"	0.113956
ascend	0.113666
SmithKline	0.111609
"Learning Co."	0.111568
PolyGram	0.109867
"General Motors"	0.109197
BankBoston	0.109094
"Niagara Mohawk"	0.109059
LTCB	0.108762
"MediaOne Group"	0.108544
Kia	0.108209
Fiat	0.108177
"Digital Equipment"	0.107427
Fingerhut	0.107297
Ciena	0.106388
"Renault SA"	0.106281
Daimler	0.106225
NationsBank	0.105771
Lilco	0.105198
Norwest	0.10466
"US Airways"	0.104599
"Telecom Italia"	0.104457
"Netscape Communications"	0.104087
"Netscape Communications Corp."	0.103517
Bestfoods	0.103348
WorldCom	0.103274
Volvo	0.103251
"Lycos Inc."	0.102734
Comsat	0.102376
TCI	0.10207
Viacom	0.10149
Nissan	0.101356
"Y&AMP;R"	0.101308
Daewoo	0.101015
"Bank of Japan Ltd."	0.100774
"RJR Nabisco"	0.100678
"Time Warner"	0.100317
"Bell Atlantic Corp."	0.100003
"Honda Motor Co."	0.0990271
NatWest	0.098845
"Salomon Brothers"	0.098756
"Frontier Corp."	0.0976914
ExciteAtHome	0.0976394
"Time Warner Inc."	0.0974228
Bridgestone/Firestone	0.0968843
"Hyundai Motor Co."	0.096493
Avondale	0.0964354
"US West"	0.0956381
"WorldCom Inc."	0.0955765
"American Home"	0.0947171
"Long-Term Credit Bank"	0.0946831
Chris-Craft	0.0941938
"Orange PLC"	0.0936855
Toyota	0.0936841
"Learning Company"	0.093605
"Deutsche Bank"	0.0934488
"Nippon Credit"	0.0933366
McKesson	0.0931903
"General Electric Co."	0.092776
"Union Carbide"	0.0926605
Seagram	0.0924495
"Bell Atlantic"	0.0922204
automakers	0.0917665
Mediaone	0.0915738
Monsanto	0.091544
Exxon	0.0915349
"HBO &AMP; Co."	0.0912923
Mannesmann	0.0911886
"True North"	0.0907534
BofA	0.0905129
BMW	0.0901046
"Newport News"	0.0896626
"British Petroleum"	0.0893132
"Wells Fargo"	0.0891623
"Thermo Electron"	0.0890378
AlliedSignal	0.0887098
EarthLink	0.0881044
YPF	0.0879395
Petrofina	0.0877402
GM	0.0876401
Broderbund	0.0872736
Qwest	0.0872276
Nabisco	0.0869769
ADM	0.0867615
VW	0.0866069
Conrail	0.0864366
"Deutsche Bank AG"	0.0864332
Asarco	0.0864019
"Rolls-Royce Motor Cars"	0.0863528
Transamerica	0.0863292
"CBS Corp."	0.085801
Ford	0.0854181
Healtheon	0.0852341
MindSpring	0.0851848
"Times Co."	0.0850273
Broadcast.com	0.0849661
"Computer Associates"	0.0849175
"Monsanto Co."	0.0848241
Telefonica	0.0846116
Rolls-Royce	0.0844001
"America West"	0.0842376
NORTHROP	0.0838998
"SBC Communications"	0.0838804
rover	0.0837844
Orangina	0.0837352
SkyTel	0.0834892
VoiceStream	0.0832996
WebMD	0.0832562
Vivendi	0.0828586
"Waste Management"	0.0819921
"Hewlett-Packard Co."	0.081939
"American Home Products"	0.0812221
Lockheed	0.0807522
"Motorola Inc."	0.080734
REVLON	0.0805991
"Kraft Foods"	0.0802744
"Reno Air"	0.0801694
"Dow Jones &AMP; Co."	0.0797204
Aeroflot	0.0796669
Krupp	0.0795069
Chevron	0.0794806
Honeywell	0.0793519
"BP Amoco"	0.0793433
"General Electric"	0.0792126
"Coca-Cola Co."	0.0784617
Airtouch	0.0782632
Hoechst	0.0777654
"Royal Bank"	0.077685
"Time Inc."	0.0776303
Texaco	0.07726
"USA Networks"	0.0771174
"Travelers Group"	0.0770945
"Tribune Co."	0.0770687
automaker	0.0766674
"Eastman Kodak Co."	0.076623
"Dow Chemical"	0.0764834
"NationsBank Corp."	0.0763574
Gillette	0.0763397
WPP	0.076287
"British Aerospace"	0.076168
GeoCities	0.0760804
"London Stock Exchange"	0.0760642
Audi	0.0760155
GEC	0.0759975
Alcan	0.0758888
"Sears, Roebuck &AMP; Co."	0.0754034
Lycos	0.0751827
"Thomson Multimedia"	0.0750858
Hewlett-Packard	0.074738
"Airtouch Communications"	0.0743203
))
(CHT (desc 2280.75) (sims
"Chittagong Hill Tracts"	0.274129
Mindanao	0.116965
final-status	0.0980226
oil-for-food	0.0886373
Nagorno-Karabakh	0.0864214
Mideast	0.0862602
Sylhet	0.0845954
Palestinian-Israeli	0.0789699
"Good Friday"	0.076729
Batticaloa	0.0766645
"Eastern Slavonia"	0.0757068
"START II"	0.0754874
Arua	0.0751792
Solomons	0.0746981
Gulu	0.0741703
"North Caucasus"	0.0732572
Hebron	0.0728691
Israeli-Syrian	0.0727328
Jammu	0.0725754
Brcko	0.0722546
Israeli-Palestinian	0.0720849
Israeli-Arab	0.0712707
Caprivi	0.0709483
Kashmir	0.0705765
Badme	0.0705426
"START III"	0.0703906
Decani	0.0701999
"Southern Philippines"	0.0696905
ABM	0.0693931
Caucasus	0.0688691
Abkhazia	0.0683191
Comoros	0.0678145
"Agenda @@@@"	0.0676599
"Wye River"	0.0662934
Balkan	0.0659256
"Far Eastern"	0.0656868
"Northeast Asia"	0.0650554
"Niger Delta"	0.0646188
"Beibu Gulf"	0.0642593
Bougainville	0.0641588
Mbarara	0.0641543
el-Sheikh	0.0641508
Ulster	0.0637547
self-rule	0.0636309
Bekaa	0.0631251
Kurdistan	0.0631012
"arms control"	0.0629617
GATT	0.0627455
"South Asian"	0.0617526
"Democratic Republic of Congo"	0.0613103
Tigray	0.0612282
"Great Lakes Region"	0.0610968
"Central Mindanao"	0.0606812
Kilinochchi	0.0599739
Bundibugyo	0.0596385
"Yangtze River Delta"	0.0592966
"Western Pacific"	0.0592872
"Korean Peninsula"	0.0592316
Kurdish	0.0592075
disengagement	0.0591772
Japan-U.S.	0.0585565
Kyoto	0.0584716
"South Asia"	0.0583315
"East Asian"	0.0583293
"customs union"	0.0581684
Mitrovica	0.0577764
"Northern Irish"	0.0575449
Kargil	0.0575356
Zhongguancun	0.0571199
Wye	0.0571015
Kasese	0.056952
"Mount Lebanon"	0.0565657
"Pearl River Delta"	0.0564088
"Uruguay Round"	0.0562544
Kitgum	0.0562001
Lome	0.0558493
Khulna	0.0557415
China-U.S.	0.0556225
Jaffna	0.0554124
Ganges	0.0552766
"Lusaka Peace Accord"	0.05524
"Near East"	0.0552329
Clinton-Lewinsky	0.0552102
"Black Sea Fleet"	0.0549844
"South Bay"	0.0549011
Chiapas	0.0547594
Bighorn	0.0540691
Dagestan	0.0540058
"Old Town"	0.0538134
Vojvodina	0.0537878
Palestine	0.0535689
"East Asia"	0.0535036
"moral hazard"	0.0535016
"Oslo Accord"	0.0533552
"Fort Worth-Dallas"	0.0533416
UUP	0.0532138
U.S.-Russian	0.0530103
Aceh	0.0529346
INDIA-PAKISTAN	0.052929
"New Territories"	0.0525182
leone	0.0525059
Lockerbie	0.0524716
IPR	0.052434
KwaZulu/Natal	0.0523179
Asia-Pacific	0.0522251
"Guinea Bissau"	0.0518229
Aegean	0.0515611
Dundalk	0.0515425
"Golden Triangle"	0.0512985
Abkhazian	0.0510715
Buldon	0.0509361
multi-ethnic	0.0508512
Vedeno	0.0508436
Uvira	0.0508026
Umbria	0.0506741
"West Asia"	0.0506434
"Democratic Congo"	0.0504976
Bakassi	0.0504352
Mostar	0.0504034
Drenica	0.05025
"Jaffna Peninsula"	0.0502103
Nago	0.0501595
"Jordan Valley"	0.0501278
VFA	0.050023
resolving	0.0500181
"Democratic Republic of the Congo"	0.0497644
"Eastern Province"	0.0494895
Zamboanga	0.0490673
Anjouan	0.0490381
"Russian Federation"	0.0489598
Pailin	0.04891
Rajshahi	0.0488807
Lumbini	0.048874
"Sino-Portuguese Joint Declaration"	0.0487951
"Aegean Sea"	0.048587
Khabarovsk	0.0485674
Caspian	0.0482317
"four key"	0.0481917
Sheikh	0.0478797
demilitarization	0.0478679
Taba	0.047738
"feast day"	0.0476201
Warri	0.0475538
Bosnia-Herzegovina	0.0475432
"intellectual property rights"	0.0475331
Talipao	0.0471853
COMESA	0.0471228
"Central African Republic"	0.0471108
"Caspian Sea"	0.0470252
Mekong	0.0465932
"Rocky Mountain"	0.046569
U.S.-China	0.0465335
Ita	0.0465328
"Three key"	0.04644
"military training"	0.0463521
"national capital"	0.0463267
"Kosovar Albanian"	0.0462793
Chittagong	0.0461653
Kigoma	0.0461084
"Wye Plantation"	0.0458148
Russian-U.S.	0.0455678
Jamestown	0.0455509
Galilee	0.045378
Kyushu	0.0453565
"Multimedia Super Corridor"	0.0452374
Orissa	0.0452036
"Solomon Islands"	0.0451501
"river basin"	0.0451453
Daghestan	0.0451118
Cyberjaya	0.0450793
Xishuangbanna	0.0449913
"East Jerusalem"	0.0449872
Krasnoyarsk	0.0448217
armistice	0.044662
"five key"	0.0444208
Trincomalee	0.0444178
Ruhengeri	0.0442632
Paphos	0.0440794
Mbale	0.0436774
Bishkek	0.0436604
Conakry	0.043612
Vavuniya	0.0434675
"Balkan country"	0.0434449
"Nationality Law"	0.0431037
Wallingford	0.0429837
"Western Cape"	0.0428494
Larnaca	0.0428365
RAMBOUILLET	0.0426852
Chechen	0.0426653
"Millennium Bug"	0.0426482
"Black Hills"	0.0425402
Golan	0.0423673
"Lusaka Protocol"	0.0421786
nonproliferation	0.0420851
REACHES	0.0420387
"Metro Manila"	0.0419419
"U. N."	0.0418599
TINDERBOX	0.0417563
squatting	0.0417314
Kaliningrad	0.0416991
))
(Chu (desc 3544.59) (sims
Leung	0.129503
Markovic	0.12101
Cheng	0.114759
Grasso	0.107295
xu	0.106525
Soliah	0.10616
Lau	0.105995
Fung	0.101031
Ziegler	0.100134
Copeland	0.0973792
Qin	0.0971881
Zhang	0.095698
Berenson	0.0942944
Liu	0.0935282
Hardy	0.0918321
Kern	0.0917217
Ashrawi	0.0916934
Wu	0.0916481
Pirro	0.0900706
Greco	0.0900604
Brazile	0.0896363
Meissner	0.0893864
Hadley	0.0888457
Cao	0.0884955
Arbour	0.0880466
Mayer	0.0880091
Feng	0.0865611
Stahl	0.0862929
Zhou	0.0849427
Sharma	0.0849337
guo	0.0844144
Farber	0.0842713
Azizah	0.0841193
Wang	0.0841109
Lowry	0.0840855
Yao	0.0835982
Kagalovsky	0.0831995
Greenwald	0.0830551
Lawler	0.0830259
Kirkpatrick	0.0823849
Whaley	0.0812942
Fiorina	0.0806315
krueger	0.0805995
Seligman	0.080483
Alves	0.0803079
Kiareldeen	0.0803049
Quintana	0.0800782
Tsang	0.0800616
Lowey	0.0797821
Shu	0.0790625
Aquino	0.078854
Tran	0.0781574
Mehta	0.0779856
Baez	0.0778927
Grimes	0.0777105
Dunham	0.0776197
Weiner	0.0770739
Ono	0.0769554
Dyson	0.0767437
McDaniel	0.0766968
DeFrantz	0.0765347
Dai	0.0764564
Cleary	0.0764389
Wong	0.0761471
Madden	0.0760586
Petersen	0.0754265
Noe	0.0745469
Feldman	0.074457
tang	0.0742398
Mott	0.0742054
Rowe	0.0741853
Ackerman	0.0740362
Hofer	0.0739815
Rosenthal	0.0737449
Kirby	0.0737214
Yan	0.0737155
Muir	0.073692
Sorensen	0.0735178
Hahn	0.0733607
Benedetti	0.0728899
Shriver	0.0728406
Sheehan	0.072719
Griffiths	0.0727006
McCartney	0.0726194
Henning	0.0725199
Farrell	0.0722655
Shi	0.0719513
Shulman	0.0719285
Fagan	0.0718145
Atkinson	0.0716945
Lundberg	0.0713815
Boles	0.0713697
Li	0.071336
McIntosh	0.0712396
Lovett	0.0711669
McDonnell	0.071033
Bellush	0.0710233
Kelso	0.0709671
LU	0.070837
Grunwald	0.0706824
Huang	0.0705134
Zhao	0.0704861
Roberson	0.0704197
O'Connell	0.0703586
Mikhailov	0.0701821
Hauser	0.0700648
Russo	0.0699238
Doherty	0.0698057
Cline	0.0697752
Mullen	0.0697223
Lowery	0.0696586
Braswell	0.0696393
Brenner	0.0696316
Merritt	0.0695912
Seltzer	0.0695545
Midler	0.0694999
Huffington	0.069452
Olson	0.069437
Khmer	0.0693908
Chen	0.0691489
Soyinka	0.0689899
Hiett	0.0688918
Brennan	0.0686399
Tharp	0.0685589
Patten	0.0683852
Finney	0.0683409
Zuckerman	0.0683039
Knapp	0.0682607
Pollack	0.068243
Sheehy	0.0681126
Akayesu	0.0677065
Henley	0.0675631
Jensen	0.0671946
Flanagan	0.0671568
Priebke	0.0671364
"Albert Pirro"	0.0671256
Sund	0.0671055
Sheppard	0.0670127
Meston	0.0669283
McIntyre	0.0669237
fowler	0.0668757
"Azizah Ismail"	0.0667749
Orton	0.0667728
Lai	0.0666932
Fabius	0.0666407
Carmichael	0.0665278
Townsend	0.0664551
Dixon	0.0664097
Bao	0.0663397
lauder	0.0662747
Abram	0.0662294
Conroy	0.06617
Morrison	0.0659521
Larson	0.0658394
Capps	0.0656642
Donohue	0.0656464
Gifford	0.0655779
Troussier	0.0655572
Hecht	0.0655505
Tilberis	0.0655171
Hess	0.0654235
Dobson	0.0652612
Fitzgerald	0.065242
Padilla	0.0652408
Lin	0.0652393
Abernathy	0.0647255
Hayden	0.0646619
Molinari	0.0646187
Hartman	0.0646075
Meehan	0.0645628
Pearce	0.0645531
Shayler	0.0644707
Waxman	0.0643806
Weldon	0.0643493
McKenzie	0.0641856
Briscoe	0.0641577
Webster	0.063919
"Le Pen"	0.0638449
Karbaschi	0.0637954
LaPierre	0.0637036
Pape	0.0636332
Dunleavy	0.0635858
Friedman	0.0635047
Andrews	0.0634479
Kahn	0.0634184
Jeffers	0.0633778
Soto	0.0632826
Cooke	0.0632069
Khalil	0.0631967
Gonzales	0.0631829
Prewitt	0.0631628
Arron	0.0631261
Silverstein	0.0631227
Goodman	0.0630811
Ding	0.0630403
Peterson	0.0628561
Massey	0.0628521
Jobe	0.0627663
Montiel	0.0627424
Vogel	0.0627304
))
(Chuan (desc 6413.48) (sims
"Chuan Leekpai"	0.270368
Chavalit	0.252833
Banharn	0.212989
Koirala	0.209786
Deuba	0.206754
Hashimoto	0.201127
Vajpayee	0.198315
Ecevit	0.192438
Gujral	0.191464
Hasina	0.190547
Chretien	0.190428
Hariri	0.186996
Mkapa	0.186445
"Chavalit Yongchaiyudh"	0.185902
Kuchma	0.18511
Simitis	0.184744
Jospin	0.181113
Menem	0.180357
Goh	0.177864
Primakov	0.175223
Aznar	0.174152
Wolfensohn	0.17373
Erbakan	0.172595
Dini	0.172303
Nazarbayev	0.171995
Museveni	0.171391
"Jerzy Buzek"	0.170284
D'Alema	0.170187
"Yoshiro Mori"	0.169333
Prodi	0.169053
Vasile	0.167602
Wahid	0.167197
Lukashenko	0.167034
Yilmaz	0.166245
Majali	0.165272
"Keizo Obuchi"	0.165037
Lipponen	0.164031
Chiluba	0.163948
Kharrazi	0.163638
Velayati	0.163381
Kok	0.163027
Ahern	0.162478
Mahathir	0.162086
Dehaene	0.161521
Demirel	0.161348
"Mesut Yilmaz"	0.161133
Chirac	0.160297
Sergeyev	0.160143
Obuchi	0.160049
Estrada	0.15895
Phieu	0.158633
"Atal Behari Vajpayee"	0.158314
"Necmettin Erbakan"	0.158234
"Ryutaro Hashimoto"	0.157995
Jayakumar	0.157902
Aziz	0.157885
Zedillo	0.157546
Ikimi	0.156906
Kiriyenko	0.156638
Kinkel	0.155583
Tung	0.15548
Constantinescu	0.155409
Meles	0.155378
Clerides	0.15517
"Lokendra Bahadur Chand"	0.154744
Pangalos	0.154503
"Atal Bihari Vajpayee"	0.154324
Cem	0.154071
"Pandeli Majko"	0.153539
"Romano Prodi"	0.153503
Khatami	0.153267
"Inder Kumar Gujral"	0.153203
"de Charette"	0.153118
"Bulent Ecevit"	0.152788
Chand	0.152695
Shipley	0.152404
Rifkind	0.151662
Sharif	0.151475
Orban	0.151309
Stoyanov	0.151155
Zhu	0.150596
Alatas	0.150038
Ogata	0.14987
Nujoma	0.149408
Supachai	0.149242
"Yevgeny Primakov"	0.149166
Santer	0.148923
Cardoso	0.148003
Musharraf	0.14781
"Lionel Jospin"	0.147432
Mori	0.147177
Shevardnadze	0.147147
Ramos	0.146925
Peres	0.146735
Moi	0.1466
Blair	0.146472
Gowda	0.146259
Habibie	0.146247
Mbeki	0.14608
"Benazir Bhutto"	0.145747
Chissano	0.145505
Ikeda	0.145462
Mandela	0.14532
Ivanov	0.144449
"Than Shwe"	0.14388
Stepashin	0.143617
Kasoulides	0.143247
"Frederick Sumaye"	0.142738
Chernomyrdin	0.142711
"Bashkim Fino"	0.142629
Pustovoitenko	0.142307
"Wlodzimierz Cimoszewicz"	0.142298
Kabariti	0.142185
Schroeder	0.141895
Qian	0.141879
Frei	0.141542
"Chief Executive Tung Chee-hwa"	0.141498
Leghari	0.141125
Lahoud	0.141034
Rua	0.140461
"Jean Chretien"	0.139971
Mugabe	0.139766
Solana	0.139478
Komura	0.139354
Nzo	0.139175
Mordechai	0.139053
Niyazov	0.138774
"Phan Van Khai"	0.138709
Rakhmonov	0.138556
"Deve Gowda"	0.13787
Rafsanjani	0.137755
Sihanouk	0.137182
Rawabdeh	0.136556
Abdel-Meguid	0.136476
"H.D Deve Gowda"	0.136475
"Binyamin Netanyahu"	0.136447
Zeroual	0.136324
"Prime Minister Banharn Silpa-Archa"	0.136242
"Ehud Barak"	0.13611
Camdessus	0.136097
Brittan	0.135992
"Sergei Kiriyenko"	0.13571
Barak	0.13567
Karimov	0.135255
Tsang	0.135225
"Hun Sen"	0.135056
Surin	0.135011
Yeltsin	0.134867
Pastrana	0.134832
"Benjamin Netanyahu"	0.134588
Bondevik	0.134437
Kostov	0.134239
"Pascoal Mocumbi"	0.134235
Axworthy	0.133771
"John Howard"	0.133454
Kumaratunga	0.133344
"Wim Kok"	0.132823
"Sher Bahadur Deuba"	0.132793
Khaddam	0.132775
"Nawaz Sharif"	0.132633
"Sheikh Hasina"	0.132184
Khamenei	0.13218
"Valery Pustovoitenko"	0.132157
Abubakar	0.13199
Netanyahu	0.131209
"Atef Obeid"	0.130829
Jovanovic	0.130828
"Mikulas Dzurinda"	0.130756
Azad	0.130564
"Salim Hoss"	0.130522
Akayev	0.130436
"John Bruton"	0.130379
Boueiz	0.130352
"John Major"	0.130132
Weizman	0.129697
"Costas Simitis"	0.129598
Ranariddh	0.129504
Hoss	0.129449
Barshefsky	0.129441
Moussa	0.129409
"Rafik Hariri"	0.129218
Annan	0.128973
"Goh Chok Tong"	0.128943
"Ivan Kostov"	0.128821
Muluzi	0.128775
Bedie	0.128765
Schuessel	0.12859
Obasanjo	0.128138
Arafat	0.128081
Mubarak	0.128007
Kwasniewski	0.127959
Putin	0.127469
Djukanovic	0.127305
"Meles Zenawi"	0.126942
Khai	0.126919
Nano	0.126886
al-Sahhaf	0.126656
Vedrine	0.126521
Rabbani	0.126471
Guterres	0.126266
"Radu Vasile"	0.126195
Amato	0.126152
"Mahathir Mohamad"	0.125587
"Vo Van Kiet"	0.125476
Scalfaro	0.125265
Nasrallah	0.125189
Buthelezi	0.125091
Buzek	0.125047
Samper	0.125023
Zou	0.125017
Saleh	0.124901
Klima	0.124221
Sumaye	0.124082
Ahtisaari	0.123943
Fischer	0.12385
"Jenny Shipley"	0.122932
Bulatovic	0.122899
Hu	0.122828
el-Bashir	0.122454
Luong	0.122216
Fujimori	0.122155
Fino	0.122155
Ruehe	0.122044
"Fatos Nano"	0.12197
Kohl	0.121335
Iliescu	0.121267
Siazon	0.121227
Bildt	0.1212
"Helen Clark"	0.12119
"Jordanian King Abdullah Bin Hussein"	0.121176
Erekat	0.121045
Moratinos	0.120944
Juppe	0.120515
"William Perry"	0.12005
Qiao	0.119826
Bhutto	0.119821
Downer	0.119424
Chaudhry	0.118886
Jiang	0.118611
"Tony Blair"	0.118587
"Dos Santos"	0.118506
Rao	0.118141
Bruton	0.117989
Denktash	0.117704
Chevenement	0.117394
Zeng	0.117107
Luzhkov	0.117101
Daley	0.116984
Ciller	0.116811
Duisenberg	0.11671
Majko	0.116679
Aleman	0.116588
Granic	0.116411
"Jose Maria Aznar"	0.116212
"Viktor Chernomyrdin"	0.116181
"Antonio Guterres"	0.115879
"Li Peng"	0.115877
Yastrzhembsky	0.115781
Cohen	0.115695
Zeman	0.115601
Zuma	0.115377
"William Cohen"	0.115355
Modise	0.115347
Tarrin	0.115161
"De Soto"	0.115062
Ganzouri	0.114719
"Khaleda Zia"	0.114697
Gadhafi	0.11459
Seleznyov	0.114332
Plavsic	0.114241
Rubin	0.114175
"President Kim Dae-jung"	0.114091
"Bertie Ahern"	0.11381
Jia	0.113783
Klestil	0.11377
Gurirab	0.112797
Tarawneh	0.11255
Zhirinovsky	0.112381
Izetbegovic	0.112342
Kasyanov	0.112175
Hastert	0.11206
Azizah	0.112057
Tian	0.112
Chi	0.111868
Narayanan	0.111653
Diouf	0.111566
Fu	0.111509
Advani	0.11148
Albright	0.111447
Talbott	0.111377
"Norodom Ranariddh"	0.111373
"Vaclav Klaus"	0.111343
wen	0.111129
Thapa	0.110882
Lazarenko	0.11085
al-Bashir	0.110832
"Sergei Stepashin"	0.110406
Tudjman	0.110393
Kabbah	0.110308
"Goran Persson"	0.109895
Mahuad	0.109455
"Tariq Aziz"	0.109366
Shaath	0.109152
Bolger	0.108945
Daschle	0.108671
Bhattarai	0.108496
Brahimi	0.108335
Howard	0.108333
Beilin	0.108145
"Minister Shlomo Ben-Ami"	0.107974
Pickering	0.107457
Ciampi	0.107161
"Yasser Arafat"	0.10693
Berisha	0.106916
Insulza	0.106842
Shahak	0.106618
Rong	0.10656
"Mikhail Kasyanov"	0.106344
"Javier Solana"	0.106282
Benazir	0.106086
"Tansu Ciller"	0.10603
Shareh	0.10598
Koo	0.105977
Herzog	0.105586
Premier	0.105133
Gaddafi	0.105122
Rodionov	0.105101
Kim	0.104614
Klaus	0.104601
Dodik	0.104393
Kennard	0.104259
al-Sharaa	0.104118
Soeharto	0.104041
Abdullah	0.103964
Lott	0.103886
Waigel	0.103638
"Lee Hsien Loong"	0.103574
"Bill Skate"	0.10357
Indyk	0.103357
Nemtsov	0.103243
Nateq-Nouri	0.103133
Persson	0.10289
Chancellor	0.102888
Misuari	0.102877
"Viktor Orban"	0.102849
Shi	0.102603
Meciar	0.102108
Aventajado	0.101921
"Zhu Rongji"	0.101846
"Kofi Annan"	0.101738
"Krishna Prasad Bhattarai"	0.101625
"Saeb Erekat"	0.101604
Li	0.101597
"Ung Huot"	0.101536
Meguid	0.101273
el-Ganzouri	0.10115
Vollebaek	0.101097
Mandelson	0.100648
Luo	0.100437
Hassan	0.100115
"King Norodom Sihanouk"	0.100078
))
("Chuan Leekpai" (desc 9502.26) (sims
"Chavalit Yongchaiyudh"	0.327521
"Goh Chok Tong"	0.270666
Chuan	0.270368
"Atal Bihari Vajpayee"	0.24874
"Jean Chretien"	0.247901
"Costas Simitis"	0.241959
"Rafik Hariri"	0.236951
"Phan Van Khai"	0.235282
"Keizo Obuchi"	0.235258
"Ryutaro Hashimoto"	0.234901
"Jose Maria Aznar"	0.234574
"Sheikh Hasina"	0.234107
"Atal Behari Vajpayee"	0.233331
"Meles Zenawi"	0.233121
"Benazir Bhutto"	0.229598
"Romano Prodi"	0.225316
"Yoshiro Mori"	0.22523
"Necmettin Erbakan"	0.223651
"Frederick Sumaye"	0.223025
"John Howard"	0.222619
"Jerzy Buzek"	0.220723
"Mesut Yilmaz"	0.219612
"Inder Kumar Gujral"	0.21679
"Lionel Jospin"	0.214294
"Jenny Shipley"	0.214033
"Valery Pustovoitenko"	0.209847
"Radu Vasile"	0.209747
"Mikulas Dzurinda"	0.209731
"Ivan Kostov"	0.206922
"Bashkim Fino"	0.206898
"Nawaz Sharif"	0.205333
"Bulent Ecevit"	0.205074
"Pascoal Mocumbi"	0.204908
"Deve Gowda"	0.20407
"Yevgeny Primakov"	0.20317
"H.D Deve Gowda"	0.195387
"Atef Obeid"	0.194502
"John Major"	0.194146
Dehaene	0.193355
"Wlodzimierz Cimoszewicz"	0.193044
"Prime Minister Banharn Silpa-Archa"	0.19236
"Salim Hoss"	0.190808
"Vo Van Kiet"	0.190286
Moi	0.189397
"Prime Minister Kamal El-Ganzouri"	0.188889
"Milos Zeman"	0.188582
el-Ganzouri	0.188274
"Abdul Karim Kabariti"	0.186571
"Mahathir Mohamad"	0.186414
"Binyamin Netanyahu"	0.186075
"Sergei Kiriyenko"	0.185692
"Goran Persson"	0.185607
"Bertie Ahern"	0.18515
"Viktor Chernomyrdin"	0.184539
"President Kim Dae-jung"	0.183461
"Antonio Guterres"	0.183277
"Sher Bahadur Deuba"	0.180979
"Jordanian King Abdullah Bin Hussein"	0.180071
Chavalit	0.179141
"President Kim Young-sam"	0.178523
"Lokendra Bahadur Chand"	0.17807
"Pandeli Majko"	0.176347
Banharn	0.17519
"William Cohen"	0.174146
"Hun Sen"	0.174127
Lipponen	0.174045
"Wim Kok"	0.172848
"Lamberto Dini"	0.172712
"Alain Juppe"	0.171264
"Li Peng"	0.170726
Phieu	0.169534
Deuba	0.16943
"Paavo Lipponen"	0.169321
"Fatos Nano"	0.168429
Vajpayee	0.167899
"John Bruton"	0.167453
Gujral	0.167217
Hariri	0.167053
"Than Shwe"	0.166165
"Girija Prasad Koirala"	0.16616
"Kamal Kharrazi"	0.164528
Chretien	0.164471
"Vaclav Klaus"	0.164104
Simitis	0.163885
"Paul Keating"	0.161103
"Ehud Barak"	0.158954
"Tang Jiaxuan"	0.15838
"Shimon Peres"	0.158157
Kuchma	0.158118
Majali	0.157497
"Tomiichi Murayama"	0.15734
Hasina	0.157049
"Tony Blair"	0.156801
"Zhu Rongji"	0.156304
Ecevit	0.156164
Komura	0.155218
Koirala	0.154982
Goh	0.154668
"Chief Executive Tung Chee-hwa"	0.153522
"Qian Qichen"	0.152901
"Saudi King Fahd Ibn Abdul-Aziz"	0.152471
"I.K Gujral"	0.152389
Dini	0.152298
"Benjamin Netanyahu"	0.15212
al-Bashir	0.152067
"Amr Moussa"	0.151951
"William Perry"	0.151769
Hashimoto	0.15171
Premier	0.150881
"Sergei Stepashin"	0.150503
Abubakar	0.150011
"Javier Solana"	0.149193
"Igor Ivanov"	0.149007
Velayati	0.148211
Nazarbayev	0.148194
Pangalos	0.148076
"Hosni Mubarak"	0.148022
Sharif	0.147634
Demirel	0.147472
"Ismail Cem"	0.14747
Mugabe	0.147417
"Ung Huot"	0.147022
"Tansu Ciller"	0.146933
Mubarak	0.14683
"Yasser Arafat"	0.146717
Jayakumar	0.146584
Primakov	0.145821
Chiluba	0.145445
Jospin	0.145163
Museveni	0.14457
al-Shara	0.14424
"George Robertson"	0.144094
Erbakan	0.143644
"Viktor Orban"	0.143479
Mkapa	0.141957
Stoyanov	0.141957
"Suleyman Demirel"	0.141827
Wahid	0.141574
al-Sahhaf	0.14155
"Vladimir Meciar"	0.14091
"King Norodom Sihanouk"	0.140621
Clerides	0.140461
"Kofi Annan"	0.139782
"Krishna Prasad Bhattarai"	0.139179
Zhu	0.139133
Meles	0.138684
Kharrazi	0.138592
Lukashenko	0.138498
Khaddam	0.138359
Khatami	0.138256
al-Hariri	0.138201
"Kim Yong Nam"	0.138023
"Helen Clark"	0.138004
Al-Sabah	0.137928
Scalfaro	0.137895
al-Sharaa	0.137728
al-Khatib	0.137687
"Tariq Aziz"	0.13709
Mahathir	0.136713
Rafsanjani	0.136665
Axworthy	0.136425
Ganzouri	0.136307
Qian	0.135988
"deputy foreign minister"	0.135576
Chirac	0.13544
"Hubert Vedrine"	0.135234
"King Abdullah II"	0.134829
"Gulbuddin Hekmatyar"	0.134687
Yilmaz	0.134636
"Abdullah Ahmad Badawi"	0.134425
"Khaleda Zia"	0.133901
"Igor Sergeyev"	0.133678
Mandela	0.133661
"Ariel Sharon"	0.133652
"Jacques Chirac"	0.13359
Moussa	0.132714
"Vladimir Putin"	0.132644
"Mikhail Kasyanov"	0.131897
Annan	0.131771
Ahern	0.131663
"Begum Khaleda Zia"	0.131541
"David Levy"	0.131276
Kabariti	0.130927
"Victor Chernomyrdin"	0.129229
al-Assad	0.129043
Buzek	0.128057
Muoi	0.127353
Musharraf	0.12705
el-Bashir	0.126926
"Saeb Erekat"	0.126664
"Lee Hsien Loong"	0.126506
Rifkind	0.126351
Obuchi	0.125974
"Abdul Salam Majali"	0.125881
Rakhmonov	0.125086
Aznar	0.124916
Nujoma	0.124601
Tung	0.124344
Ivanov	0.124297
Akayev	0.124244
"Chi Haotian"	0.124179
"Amnuay Virawan"	0.12398
Al-Thani	0.123736
Rabbani	0.123702
Chand	0.12347
Blair	0.122923
Arafat	0.12291
Shevardnadze	0.12249
Denktash	0.122348
Estrada	0.122304
Hoss	0.122194
Yeltsin	0.12208
"Pakalitha Mosisili"	0.122066
Chernomyrdin	0.122028
Chissano	0.122005
Solana	0.121869
Vedrine	0.12186
"Yossi Sarid"	0.121716
"P.V Narasimha Rao"	0.121578
D'Alema	0.121422
"Fayez Tarawneh"	0.121173
"foreign minister"	0.121065
"President Hafez Al-Assad"	0.121058
Rua	0.121022
Prodi	0.120952
"Momir Bulatovic"	0.120373
"Kim Jong Il"	0.120153
Chancellor	0.120052
Guterres	0.119749
"Yuri Maslyukov"	0.119693
Pustovoitenko	0.119586
"Chea Sim"	0.119464
Sergeyev	0.119156
Ikeda	0.119092
Mbeki	0.118944
vice-president	0.118846
Camdessus	0.118484
Aziz	0.118185
Cem	0.11804
"de Charette"	0.11802
"Jaswant Singh"	0.117986
"Natan Sharansky"	0.117725
"Lee Kuan Yew"	0.117634
Peres	0.117463
"Secretary General Esmat Abdel-Meguid"	0.117418
"governor general"	0.117247
"Saudi King Fahd"	0.116692
Gowda	0.116344
"Shi Guangsheng"	0.116242
"Bill Skate"	0.115984
"King Abdullah"	0.115752
Vasile	0.115427
"Maung Aye"	0.115163
Kabbah	0.115029
Kok	0.114638
Niyazov	0.1145
"Ricardo Alarcon"	0.114385
Vice-Premier	0.114343
Constantinescu	0.114327
Kostov	0.114127
"King Hussein"	0.114095
Dae-jung	0.113933
Habibie	0.113742
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.113621
Jiang	0.113272
Luong	0.113214
"Jiang Zemin"	0.113203
"King Fahd"	0.113118
Kumaratunga	0.113079
Kinkel	0.112966
"secretary of state"	0.112827
"general secretary"	0.112583
Rawabdeh	0.112502
"Dos Santos"	0.112454
Barak	0.112396
Abdullah	0.112107
Moratinos	0.112068
Menem	0.111939
"King Sihanouk"	0.111865
"Tung Chee Hwa"	0.111216
"Yitzhak Mordechai"	0.111138
"Supachai Panitchpakdi"	0.111109
Gaddafi	0.110837
Wiranto	0.110827
"Anwar Ibrahim"	0.110791
Boueiz	0.110748
"Kiichi Miyazawa"	0.11072
Surin	0.110561
"Prime Minister"	0.110168
Mordechai	0.109932
"crown prince"	0.109561
"Fernando Henrique Cardoso"	0.109328
"Gerry Adams"	0.109302
"finance minister"	0.109281
Azad	0.109193
Khai	0.109004
"Boris Nemtsov"	0.108911
Shipley	0.108838
"Salim Ahmed Salim"	0.10865
"Boris Yeltsin"	0.108645
Santer	0.108512
Shareh	0.108319
Barshefsky	0.108158
"Mahmoud Zouebi"	0.108109
"Felipe Gonzalez"	0.108101
Schroeder	0.108068
Siazon	0.107903
Kwasniewski	0.107785
Buthelezi	0.107596
"Robin Cook"	0.107589
"Norodom Ranariddh"	0.107529
Nzo	0.107343
Talbott	0.107281
Bouteflika	0.107256
Mori	0.107256
Lahoud	0.107256
Alatas	0.107099
Netanyahu	0.106975
"Ibrahim Rugova"	0.106913
Zedillo	0.106879
"Prince Saud Al-Faisal"	0.106123
"John Prescott"	0.105991
"William Daley"	0.105962
Kiriyenko	0.105886
"Secretary-General Boutros Boutros-Ghali"	0.105647
Ranariddh	0.105552
Downer	0.105219
"Moammar Gadhafi"	0.104671
Abdel-Meguid	0.10462
Ramos	0.104518
Bashir	0.10427
Putin	0.103605
"Fidel Castro"	0.103318
Weizman	0.103119
Karimov	0.103095
"Leon Brittan"	0.103003
Garang	0.102766
"Prince Abdullah Ibn Abdul-Aziz"	0.10253
"Jordanian King Hussein"	0.102508
president-elect	0.10224
Cohen	0.102218
Fino	0.102162
"Minister Shlomo Ben-Ami"	0.102003
"Laurent Kabila"	0.101704
"King Abdullah Bin Hussein"	0.101266
"Defense William Cohen"	0.101212
"Khin Nyunt"	0.101193
al-Khalifa	0.101024
Stepashin	0.10052
emir	0.100199
Cardoso	0.100107
))
(Chuasiriporn (desc 2261.08) (sims
Sorenstam	0.133467
Cink	0.128755
Lyn	0.126658
"Jenny Chuasiriporn"	0.103461
Kuchar	0.103105
Gogel	0.102121
Stricker	0.0988693
Kuehne	0.0982977
Mickelson	0.0951324
Inkster	0.0945835
Olazabal	0.0931799
Calcavecchia	0.0930092
Janzen	0.091538
Magee	0.0913962
Hoch	0.0889396
Parnevik	0.0884468
Appleby	0.0857625
Alfredsson	0.0844976
Irwin	0.0827298
Neumann	0.0798128
BEGAY	0.0792868
Scelzi	0.0789345
Azinger	0.0776575
Tallas	0.0771925
"Van Roost"	0.0771592
Cepeda	0.0770366
Langham	0.0768563
"Karrie Webb"	0.0756903
Herron	0.0756785
Triplett	0.0756745
"Brian Watts"	0.0754176
Tanui	0.0754112
Andreychuk	0.0752903
Gauthier	0.0739788
Webb	0.0739354
Inman	0.0738823
Sutton	0.0713144
Passarella	0.071146
Maruyama	0.0702778
Atler	0.0700579
Capriati	0.0692718
Pak	0.0688547
Montgomerie	0.0687328
Tverdovsky	0.0680971
Nicklaus	0.0679944
Vinatieri	0.0678756
Duval	0.0678126
"Justin Leonard"	0.0677817
Langer	0.0673919
DiPietro	0.0666741
"Annika Sorenstam"	0.0664152
Hebert	0.0662383
Geiger	0.066102
beamer	0.0656819
Krayzelburg	0.0655699
Gilmour	0.0649756
Paxon	0.0648982
Dougherty	0.0648526
Mayfair	0.0648115
"Casey Martin"	0.0643519
Maggert	0.0643356
Mercker	0.0635201
"two pitchers"	0.0635157
"Nancy Lopez"	0.0634402
Singh	0.0632085
Ganassi	0.0631861
Furyk	0.0630577
Quigley	0.0630132
Talebi	0.0629868
Suker	0.06298
"Byung-Hyun Kim"	0.0626745
Garcia	0.0626325
Strauss-Kahn	0.0623773
"Tom Watson"	0.0622293
Jacobsen	0.0622048
Cowan	0.0620209
Weisman	0.0616407
Montoya	0.0614076
krueger	0.0613658
Hatteberg	0.0610705
Potvin	0.060799
estes	0.0607693
Baerga	0.0601821
Chevenement	0.0600543
Larson	0.060003
Abdur-Rahim	0.0598908
Shipley	0.0597926
Davies	0.0597133
Luyendyk	0.0596944
Ftorek	0.0595885
Andrade	0.0595257
Butyrskaya	0.0594454
Pate	0.0593945
McKay	0.059189
Biffle	0.0586749
McCarron	0.0586097
Lepage	0.0585214
"Donna Andrews"	0.0584047
Kwan	0.0582238
"Brandie Burton"	0.0578974
Krajicek	0.0574262
Schmid	0.0572876
"Dave Campo"	0.0571714
Flaherty	0.0569688
Taufik	0.0568379
McCown	0.0568268
Loretta	0.0567974
Drummond	0.0567143
McKnight	0.0566741
Heinrichs	0.0566358
Brogna	0.0566236
Setzer	0.0565631
Wilhelm	0.0564957
Fiset	0.0563331
Haas	0.0562889
Jovanovic	0.0562138
Scot	0.0562102
Ciampi	0.055911
Valdez	0.0558061
Ferrer	0.0557752
Grahame	0.0557596
Westwood	0.0555931
Jayasinghe	0.0555056
Schottenheimer	0.0553478
Blake	0.0553037
"Hal Sutton"	0.0552835
Daly	0.0550585
Solis	0.0550407
"HANK KUEHNE"	0.0550064
Crenshaw	0.0548135
Baba	0.0548124
Samsonov	0.0547029
craven	0.0546944
Leonard	0.0545322
Iglesias	0.0545102
Kahn	0.0544501
Weil	0.0544102
Bierhoff	0.054405
Gutierrez	0.0543397
Venables	0.0542382
Kagwe	0.0541368
Bautista	0.0540321
Takahashi	0.0539951
Ince	0.0539528
"David Duval"	0.0537261
Franchitti	0.0536414
Menuhin	0.0535952
"Tom Presthus"	0.0535835
Alomar	0.053516
Lopez	0.0534797
Zambrano	0.053357
O'Meara	0.0532901
Sahadi	0.0532855
Finkel	0.0532409
Yagudin	0.0531054
Rahal	0.0530939
Witherspoon	0.0529703
"Jack Nicklaus"	0.0528841
Rolen	0.0528716
Devers	0.0528615
"de Charette"	0.0528055
Bowden	0.0527931
Canty	0.0527685
Boggs	0.0525915
Zito	0.0524485
"Justin Rose"	0.0524014
Kajiyama	0.0523381
Matthews	0.0522961
Divac	0.0522216
Scalabrine	0.0521951
Robson	0.0521302
McQueen	0.0521143
Schourek	0.0520836
Brisby	0.0520005
Raducan	0.0519227
"Earnhardt Jr."	0.0518806
"Davis Love III"	0.0517889
"Jose Maria Olazabal"	0.0517885
"Phil Mickelson"	0.051729
"Lee Janzen"	0.0517189
Dragila	0.051698
"Payne Stewart"	0.0516487
"Sang Lan"	0.0516451
Madsen	0.0515948
"Fred Couples"	0.051539
Ochoa	0.0514751
Mauresmo	0.0514715
Shamshad	0.0513419
Romanowski	0.0512821
Higginson	0.0512718
LeClair	0.0512608
Collymore	0.05123
"Matt Kuchar"	0.0512023
Holdsclaw	0.0511845
Durant	0.051172
Milbrett	0.0511102
Irvan	0.0510814
Chilavert	0.0510689
Gimelstob	0.0510109
Hartsburg	0.0510053
))
(Chubais (desc 3441.68) (sims
"Anatoly Chubais"	0.195927
"Yuri Maslyukov"	0.165315
Stroyev	0.164978
Maslyukov	0.159067
Rodionov	0.157078
Stepashin	0.15689
"Boris Fyodorov"	0.153251
Kasyanov	0.152881
Ruehe	0.149866
Zadornov	0.147176
Kiriyenko	0.146672
Fyodorov	0.144776
Berezovsky	0.143579
Lebed	0.142387
Ahtisaari	0.142027
Luzhkov	0.141562
Vasile	0.139614
"de Charette"	0.137691
Chernomyrdin	0.131763
Hoddle	0.13043
Primakov	0.129702
Mordechai	0.127949
Bulatovic	0.127855
Grachev	0.127286
Camdessus	0.127237
"Boris Nemtsov"	0.126725
Niyazov	0.126282
Mokhehle	0.125884
Talbott	0.12511
Yastrzhembsky	0.124842
Tarawneh	0.124283
Yavlinsky	0.123936
Kulikov	0.12354
Holl	0.123039
Skuratov	0.122501
Koirala	0.121986
Moratinos	0.121953
Seleznyov	0.120674
Brazile	0.120479
"Viktor Chernomyrdin"	0.119473
Maskhadov	0.118488
Aventajado	0.117945
Sergeyev	0.117942
Hariri	0.11579
Havelange	0.11564
Nazarbayev	0.114918
Mohajerani	0.114892
Ekeus	0.114676
Velayati	0.113915
Milutinovic	0.11265
"Sergei Kiriyenko"	0.112339
Iger	0.112298
Neeman	0.112253
MIYAZAWA	0.111736
Coelho	0.111312
Lazarenko	0.111103
Nemtsov	0.110652
Komura	0.110442
Gullit	0.110149
Lukashenko	0.109815
Mandelson	0.109685
McGuinness	0.109615
Harmoko	0.109488
Bildt	0.109224
Siazon	0.108991
D'Alema	0.108676
Ivanov	0.108612
Zuma	0.108286
Zyuganov	0.108243
Sanan	0.107951
"Faisal Husseini"	0.107544
Alatas	0.107482
Ben-Ami	0.107281
"Eisuke Sakakibara"	0.107073
Karimov	0.106501
Blatter	0.10566
Dini	0.105544
Hashimoto	0.105139
Chavalit	0.10481
"Glenn Hoddle"	0.104731
Murayama	0.103666
Guterres	0.103658
Beilin	0.103319
Ashrawi	0.103239
Kasoulides	0.102996
Cavallo	0.102826
Arbour	0.102784
Zarb	0.102708
Jayakumar	0.102336
Weizman	0.101701
Joklik	0.101239
Stoyanov	0.101157
"Krishna Prasad Bhattarai"	0.101085
Orban	0.101043
Chevenement	0.100915
Waigel	0.100649
Shevardnadze	0.100567
Fraga	0.099911
Wolfensohn	0.0994339
Musharraf	0.0994324
Blix	0.0989846
Duisenberg	0.0988995
Trimble	0.0987737
Bruton	0.0985644
Tarrin	0.0982315
Schaeuble	0.0969217
Santer	0.0969127
Kuchma	0.0968259
"Yevgeny Primakov"	0.096774
Yandarbiyev	0.0964978
Bhattarai	0.0964868
Severino	0.0963753
Ecevit	0.0962086
Wiranto	0.0958657
McCurry	0.0955416
Soares	0.0954692
Nouri	0.0953973
Erwin	0.0951005
Constantinescu	0.0945652
Cardoso	0.094319
Supachai	0.0942611
Nebiolo	0.0941346
Nujoma	0.0940896
"Sergei Stepashin"	0.0937972
Bizimungu	0.0936709
Ivester	0.0936616
"De Soto"	0.0933388
Markovic	0.093332
Ouattara	0.0931216
Lundberg	0.0930431
Prodi	0.0928071
Rakhmonov	0.0927681
Hoss	0.0923985
Nasrallah	0.0921026
"Amnuay Virawan"	0.0920166
Thayer	0.092014
Modise	0.0918958
Warshaw	0.0918616
Brittan	0.0917046
Ickes	0.0914983
Buthelezi	0.0913341
Hauser	0.0913046
Demirel	0.0913041
"Mikhail Kasyanov"	0.0911134
Peres	0.0910809
Demaci	0.090953
Amato	0.0908811
Shareh	0.0908718
Krajisnik	0.0908264
Chuan	0.0907689
Cem	0.0906652
Rafsanjani	0.0906569
"Khin Nyunt"	0.0906128
"John Bruton"	0.0906072
Wilhelm	0.0905027
Abdel-Meguid	0.0903621
Shaath	0.0903516
Napolitano	0.0903307
Wenger	0.0902942
Majali	0.0901388
Akbar	0.0899201
"Robert Rubin"	0.0898926
Yeltsin	0.0897265
Ribbeck	0.0896698
Fernandes	0.0895173
Zagallo	0.089318
Granic	0.0892308
Hamid	0.0892295
Fino	0.0891529
Venables	0.0891096
Meciar	0.088949
Ciampi	0.0888112
Ruthardt	0.088717
Erbakan	0.0885938
Draskovic	0.0884941
Jia	0.0884053
Yilmaz	0.0882862
Goh	0.0882723
Ritter	0.0882598
Romer	0.0882499
Nzo	0.0878977
Vogts	0.0877717
Xiong	0.0877226
Ahern	0.0874735
Rifkind	0.0874182
"Dai Bingguo"	0.0873029
Putin	0.0873026
Sampson	0.0872944
Menem	0.0872879
Pickering	0.0871422
"John Prescott"	0.0870972
Iliescu	0.0869257
Verniero	0.0868359
Bhutto	0.0868331
Rossello	0.0866138
Sharansky	0.0866111
Arens	0.086219
Obeid	0.0860796
Leghari	0.0860655
Fabius	0.0860137
))
(Chuck (desc 7757.41) (sims
Jim	0.0866384
"short ribs"	0.0862084
"pork loin"	0.0841801
matt	0.0789624
Sirloin	0.0776452
Steve	0.0752798
Bobby	0.074467
Brett	0.0743078
Jeff	0.0713123
Walter	0.0698974
Joe	0.0696587
Paul	0.0694448
Dan	0.0689786
Evan	0.0685945
Sean	0.0684821
Michael	0.0680707
Derek	0.0676374
Billy	0.0663872
Neil	0.0660501
Jamie	0.0659448
Roger	0.0652736
Eric	0.0643859
"Patsy Ramsey"	0.0643696
Scottie	0.0641812
Dave	0.063591
Josh	0.0627572
Charlie	0.0621428
Randy	0.0616498
Greg	0.0615369
Rick	0.0613763
John	0.0610083
Karl	0.0609048
Jon	0.0608297
Tony	0.0606741
Gary	0.06052
Charles	0.0601663
Ed	0.0600101
Steffi	0.0598097
Marty	0.0592016
tom	0.0589492
Brian	0.0586157
sandy	0.0585035
Johnny	0.0584298
Jerry	0.0583555
Kenny	0.0582744
Shawn	0.058256
David	0.0579229
Ronald	0.0573584
Fred	0.0573544
Ted	0.0573145
mike	0.0570163
Jason	0.0569223
Eddie	0.0569214
Willie	0.0567771
Carl	0.0565891
Patrick	0.0565556
Terry	0.0564922
Leo	0.0563528
Chris	0.0563327
Pete	0.0563028
Kevin	0.056236
George	0.0562004
Ben	0.0560766
Steven	0.0559322
Alan	0.0557695
Bruce	0.0551528
Phil	0.0550363
Richard	0.0545116
Ralph	0.0544988
Reggie	0.0542556
Jake	0.0542417
Ken	0.0542087
Robert	0.0541807
Trevor	0.0541805
Jimmy	0.0539485
Toni	0.0538645
Larry	0.0537928
Joey	0.0537858
Mario	0.0534799
Adam	0.0530214
Tim	0.0530185
Tex	0.0530109
Phillip	0.0529992
Allan	0.0529348
Ricky	0.052871
William	0.0528067
Henry	0.052467
Philip	0.0521593
Peter	0.0521221
Cory	0.0517439
cutlet	0.0516751
Todd	0.0515419
jack	0.0515361
Annie	0.051444
Doris	0.0512318
Samuel	0.051106
Ramon	0.051029
Danny	0.0509328
BOB	0.0507925
Bernie	0.0507136
Juan	0.0506753
Jeremy	0.0505111
Harry	0.050307
"Ethel Kennedy"	0.0502468
Sam	0.0502409
Roberto	0.0501172
Brandon	0.0499517
Vinny	0.0492243
Jeb	0.0491284
Edward	0.0490589
Robbie	0.0490099
Arnold	0.0489256
nick	0.0487836
Brogna	0.0487142
Cynthia	0.0484804
jay	0.0484569
Jessie	0.0483151
Alex	0.048301
Scott	0.0481798
Lucille	0.0481585
Marcus	0.0476823
Wayne	0.047679
Nathan	0.0475968
Stan	0.0473506
A.J	0.0472002
"George W."	0.0471792
Colin	0.0470102
Edmund	0.0469701
Loin	0.0468046
Jorge	0.0468026
Duane	0.0467963
Ebert	0.0466911
Roberta	0.0465698
Mary	0.0465022
Brad	0.0463317
dale	0.0462459
Jonathan	0.046218
Raymond	0.0461088
Vincent	0.0461018
Robin	0.0459895
Judith	0.0459633
Kyle	0.0458516
Davey	0.0458509
Wanda	0.0458209
Wesley	0.045682
Arthur	0.0456436
Sebastian	0.0455456
Rusty	0.0453648
Katie	0.0451794
Tuinei	0.0449901
Ron	0.0447569
"ground beef"	0.0447414
Mel	0.0447351
Wally	0.0447244
Keith	0.0446452
EdTV	0.0445888
"John Jr."	0.0445861
Galvin	0.0445528
Andy	0.0444989
Jeffrey	0.0444504
Louis	0.0442969
Denise	0.0438748
Doug	0.0438707
Marc	0.0437149
James	0.0436933
Troy	0.0435696
Justin	0.0435371
Byron	0.043533
Pedro	0.0433215
Sally	0.0433009
Sammy	0.0431007
patsy	0.0429577
Tommy	0.0429512
Max	0.0427408
Darren	0.0425628
Dennis	0.0423645
pastrami	0.0423318
Saul	0.0422984
Julie	0.0422235
Shane	0.0421662
Nomar	0.0420691
Gabe	0.0420642
sid	0.0419872
Joseph	0.0419549
Gerald	0.0418607
Sonny	0.041723
Drew	0.0416054
Jose	0.0415299
Pecker	0.0413509
Theo	0.0413286
Martina	0.0412929
Anthony	0.0411489
Hepburn	0.0410467
STUART	0.0410358
Jimy	0.0410227
Roland	0.0409027
Andre	0.0408459
"Smoke Signals"	0.0408444
Joshua	0.0408106
Dodi	0.0407664
))
("Chuck Berry" (desc 2246.62) (sims
"Johnny Cash"	0.149295
"Patsy Cline"	0.146503
"Buddy Holly"	0.142913
"Little Richard"	0.13747
"Hank Williams"	0.12067
"B.B King"	0.119638
"Muddy Waters"	0.117882
"John Lee Hooker"	0.109082
"Ray Charles"	0.0992546
"Elvis Presley"	0.0987078
"Charlie Parker"	0.0947452
"George Jones"	0.0941116
"Billie Holiday"	0.0930639
"Aretha Franklin"	0.0918129
"Marvin Gaye"	0.0887034
"Ella Fitzgerald"	0.0879475
"Jimi Hendrix"	0.0869501
"Rolling Stones"	0.0852169
"Tom Jones"	0.0830033
Presley	0.0829105
Elvis	0.0786061
"Tony Bennett"	0.0728828
"James Brown"	0.0697239
"Merle Haggard"	0.0672986
"Janis Joplin"	0.0666878
"Frank Sinatra"	0.0661126
"Elton John"	0.0653417
Beatles	0.0652484
"Andrea Bocelli"	0.0641865
"Neil Young"	0.0637898
"Miles Davis"	0.0637462
U@	0.0618835
"Lucille Ball"	0.0608637
"Tom Waits"	0.060523
"Faith Hill"	0.06033
"James Dean"	0.0583258
"Tina Turner"	0.0581766
"Led Zeppelin"	0.0571154
"Marlon Brando"	0.0563321
"Bob Dylan"	0.0547429
"John Coltrane"	0.054607
"Calvin Coolidge"	0.0538183
"Stevie Wonder"	0.0524669
Panchen	0.051802
"Mick Jagger"	0.0517512
Yoakam	0.0516447
"Kate Moss"	0.0499682
"Robert Johnson"	0.0492685
"Frank Gehry"	0.0490331
"Lana Turner"	0.0484759
Hootie	0.0471508
Fugees	0.0459271
"Joan Baez"	0.0456806
Goff	0.0453531
"Caroline Kennedy"	0.0450182
"Bill Cosby"	0.0445255
"Dizzy Gillespie"	0.0442132
"Black Sabbath"	0.0441058
"Diana Ross"	0.0439198
"Tim McGraw"	0.0438658
"Eric Clapton"	0.0434904
"John Belushi"	0.0433719
"Ulysses S. Grant"	0.0432053
Krall	0.0431999
Boulez	0.0428109
Heaney	0.04277
"Mariah Carey"	0.0427039
Springsteen	0.0425881
"Liza Minnelli"	0.0424141
"Robert Frost"	0.0421924
"Enrique Iglesias"	0.0416132
"Woody Guthrie"	0.0405856
"Bruce Springsteen"	0.0403894
"Mary J. Blige"	0.0402186
"Whitney Houston"	0.0402143
))
("Chuck Daly" (desc 1541.93) (sims
"Lenny Wilkens"	0.239064
"Jerry Sloan"	0.235012
"Butch Carter"	0.226951
"Rick Pitino"	0.215404
"Larry Brown"	0.213181
"Mike Dunleavy"	0.211257
"Pat Riley"	0.208491
"George Karl"	0.20306
"Dave Cowens"	0.183437
"Don Nelson"	0.174809
"Phil Jackson"	0.165249
"John Thompson"	0.16186
"Rick Neuheisel"	0.151269
"Paul Silas"	0.150472
"Paul Westphal"	0.148285
"Bora Milutinovic"	0.148224
"Jeff Van Gundy"	0.143202
"Barry Switzer"	0.13728
"Roy Williams"	0.135021
"Del Harris"	0.131062
"Doc Rivers"	0.129947
"Rudy Tomjanovich"	0.119907
"Jim Harrick"	0.118866
"Red Auerbach"	0.117346
"John Calipari"	0.115868
"Dennis Erickson"	0.114669
"Mike Krzyzewski"	0.113105
"Tex Winter"	0.112597
"Kurt Rambis"	0.110056
"Glenn Hoddle"	0.107613
"Glenn Hoffman"	0.105448
"P.J Carlesimo"	0.103654
"Dave Wannstedt"	0.103055
"Scotty Bowman"	0.0997607
"George Seifert"	0.0974086
"Lou Holtz"	0.0962561
Cremins	0.0961565
"Don Shula"	0.0953477
"Larry Bird"	0.0935213
"Renato Ruggiero"	0.0931621
"Pat Burns"	0.092797
"John Robinson"	0.0904385
Murayama	0.0902255
"Chan Gailey"	0.0901373
Havelange	0.0900467
"Ruud Gullit"	0.0896924
"Tim Floyd"	0.0888446
"Dom Capers"	0.0887876
"Jim Leyland"	0.0887092
"Michel Camdessus"	0.088121
"Mike Holmgren"	0.0878076
"Tom Osborne"	0.0865631
"Clyde Drexler"	0.0864305
"Chris Palmer"	0.0859602
Verney	0.0856684
"Joe Gibbs"	0.0844865
"Tom Davis"	0.0834295
Haskins	0.0816514
"President Lee Teng-hui"	0.0813982
"Wolfgang Schaeuble"	0.0812605
"Joao Havelange"	0.0805377
"Isiah Thomas"	0.0799611
"Don Zimmer"	0.079926
Ribbeck	0.0795994
"Tony Coelho"	0.0781815
"Bill Parcells"	0.0780874
"TOM COUGHLIN"	0.0776102
"Amnuay Virawan"	0.0772564
"John Smith"	0.0772529
"Jimmy Johnson"	0.0772277
"Jacques Santer"	0.0767782
"Ray Rhodes"	0.0765505
"Bill Belichick"	0.075469
"Dean Smith"	0.0750142
Redd	0.074291
"Steve Mariucci"	0.0738735
"Johan Cruyff"	0.0736049
"Walter Zenga"	0.0731428
"Bill Cowher"	0.0728902
"Lou Dobbs"	0.0726885
Yadav	0.071819
Catacosinos	0.071722
"Willie Randolph"	0.0707815
"Dennis Green"	0.0701749
"Ken Hitchcock"	0.0699951
"Dick Vermeil"	0.0696978
Blackmun	0.0695306
"M. Douglas Ivester"	0.0689895
"Kevin Keegan"	0.0682128
"Terry Collins"	0.067463
Donnan	0.0673274
"Don Baylor"	0.0671394
Arrington	0.0668855
Venables	0.0662789
"Mark James"	0.0658687
"Bill Walsh"	0.0656492
"Frank Joklik"	0.0655583
Schaeuble	0.0644361
"Tommy Bowden"	0.064415
"Norv Turner"	0.0639786
"Dennis Johnson"	0.0639566
"Aryeh Deri"	0.0638668
"Rod Carew"	0.0637795
"Charles Gibson"	0.0637451
Kassirer	0.0637009
"Bela Karolyi"	0.0631312
"Tom Landry"	0.0626886
"Pete Carroll"	0.0625732
"Krishna Prasad Bhattarai"	0.0625056
"Dave Campo"	0.0623139
"Noboru Takeshita"	0.0622833
Arbour	0.0622334
"Dick Jauron"	0.0620996
"Brian Billick"	0.062097
"Tony Dungy"	0.0620212
"Rich Brooks"	0.061932
"Thurgood Marshall"	0.0618612
"Joe Paterno"	0.061586
"Juan Antonio Samaranch"	0.06146
Cowens	0.0614523
Mokhehle	0.0605981
Greenwald	0.0605171
"Dave Stewart"	0.0604629
"Mack Brown"	0.0604401
"Ronnie Lott"	0.0603199
Marineau	0.0603194
"Mike Ditka"	0.0599237
Ivester	0.0599162
Sato	0.0597625
Passarella	0.0596499
"Bill Skate"	0.059646
"Steve Spurrier"	0.0595428
"Franjo Tudjman"	0.0594041
"Jim Calhoun"	0.0590118
Meciar	0.0589801
Solich	0.0588807
Camdessus	0.0588308
"Robert E. Rubin"	0.0587859
Ponciano	0.0587378
"Mike Martz"	0.0586647
Hanley	0.0586388
Coia	0.0584694
Osborne	0.058307
"John Shalikashvili"	0.0582069
"Bobby Bowden"	0.0581166
"Al Groh"	0.0581037
Milbury	0.058001
O'Brien	0.0578144
Papandreou	0.0577881
"June Jones"	0.0567734
Taubman	0.0567321
"Massimo D'Alema"	0.0562748
Holmgren	0.0560707
Nano	0.05569
Neuheisel	0.0555089
"Billie Jean King"	0.0554386
Ruggiero	0.0553697
"Tomiichi Murayama"	0.0553018
"Roy Romer"	0.0548041
Mukora	0.054266
"Warren Christopher"	0.0541109
Kilborn	0.0537563
"Abdollah Nouri"	0.0536572
Harmoko	0.0536245
Barnett	0.0534859
"Jim Hunt"	0.0532612
"Elgin Baylor"	0.0531047
Aquino	0.0530535
"Vince Lombardi"	0.0530412
Sampson	0.0529724
"Seiji Ozawa"	0.052789
"Cardinal John O'Connor"	0.0525323
"Mike Shanahan"	0.052511
"Paul Johnson"	0.0524735
Tobin	0.0521458
Meissner	0.052028
Zadornov	0.0519701
Nellie	0.0519241
Bizimungu	0.0517515
Hearn	0.051509
Wendt	0.0513955
Bartholomew	0.0510035
"Bear Bryant"	0.0508588
Vermeil	0.050857
Chavalit	0.0507831
Ainge	0.0507814
Penders	0.0507188
Bulatovic	0.0506109
Dobbs	0.0501447
"Tina Brown"	0.0500066
"Martti Ahtisaari"	0.0499713
"Bill Russell"	0.0497794
"John Connally"	0.0497488
"Neil Smith"	0.0495852
Larsson	0.0494165
Slocum	0.0494015
Rt	0.0493628
"Frank Lautenberg"	0.0492842
Bubb	0.0492478
Auerbach	0.0492258
))
("Chuck Finley" (desc 6455.66) (sims
"Omar Olivares"	0.245667
"Ken Hill"	0.245409
"Jarrod Washburn"	0.245136
"Jason Dickson"	0.239926
"Kent Mercker"	0.230791
"Steve Sparks"	0.228409
"Kevin Appier"	0.216805
"Mark Langston"	0.215834
"Bartolo Colon"	0.214288
"Charles Nagy"	0.209622
"Tim Belcher"	0.207924
"Kent Bottenfield"	0.207511
"Dwight Gooden"	0.20741
"Justin Thompson"	0.207284
"Scott Schoeneweis"	0.207261
"Terry Mulholland"	0.201174
"Jaret Wright"	0.197016
"Dave Burba"	0.196816
"Mike Hampton"	0.196538
"Jack McDowell"	0.196025
"Eric Milton"	0.194065
"Woody Williams"	0.191893
"Darren Oliver"	0.191223
"Troy Percival"	0.190238
"Scott Karl"	0.190197
"Kirk Rueter"	0.188332
"Shawn Estes"	0.188275
"Brad Radke"	0.181574
"Kenny Rogers"	0.18031
"Jeff Fassero"	0.178733
"David Wells"	0.177866
"Wilson Alvarez"	0.176255
"Jamie Moyer"	0.175867
"Aaron Sele"	0.173698
"Carlos Perez"	0.172746
"Brian Bohanon"	0.171708
"Jim Parque"	0.170608
"Denny Neagle"	0.170533
"Jon Lieber"	0.170076
"Greg Swindell"	0.169666
"Andy Pettitte"	0.169052
"Russ Ortiz"	0.168708
"Armando Reynoso"	0.167736
"Ramon Martinez"	0.167452
"Brian Anderson"	0.167288
"Tom Candiotti"	0.167171
"Pete Schourek"	0.166371
"John Burkett"	0.165738
"Darryl Kile"	0.165156
"Sterling Hitchcock"	0.164947
"Al Leiter"	0.163955
"Brian Moehler"	0.162164
"Pat Rapp"	0.157623
"Seth Etherton"	0.157623
"Jesus Sanchez"	0.156552
"John Halama"	0.156108
"Brian Cooper"	0.155655
"Mike Mussina"	0.153504
"Allen Watson"	0.152932
"Tom Glavine"	0.152499
"Hideki Irabu"	0.152244
"Curt Schilling"	0.151306
"Todd Stottlemyre"	0.150274
"Steve Avery"	0.149769
"Shane Reynolds"	0.149541
"Randy Myers"	0.14856
"Orel Hershiser"	0.146154
"Jamey Wright"	0.145974
"Mark Gardner"	0.14572
"Jeff Weaver"	0.145701
"Jason Schmidt"	0.145408
"Matt Morris"	0.14538
Bottenfield	0.145345
"Omar Daal"	0.14522
"Scott Erickson"	0.145179
"Orlando Hernandez"	0.144988
"Mark Clark"	0.144651
"Gary DiSarcina"	0.143706
"Steve Trachsel"	0.142812
"Ron Villone"	0.142024
"Juan Guzman"	0.141182
"Dave Hollins"	0.141116
"Steve Parris"	0.14066
"Kevin Brown"	0.139326
"Javier Vazquez"	0.138337
"Jason Bere"	0.138003
"Pedro Astacio"	0.137783
"Ramon Ortiz"	0.137313
Mercker	0.137084
"Mike Magnante"	0.136421
"Andy Benes"	0.136398
"Mike Sirotka"	0.136288
"Mark Petkovsek"	0.136241
"Rick Helling"	0.136233
"STEVE WOODARD"	0.135575
"Kevin Tapani"	0.134934
"Chris Carpenter"	0.134593
"Roger Clemens"	0.133788
"Randy Johnson"	0.132629
"Darin Erstad"	0.132459
"Scott Radinsky"	0.132445
"Esteban Loaiza"	0.132441
"Bill Pulsipher"	0.13138
Rusch	0.130983
"Bret Saberhagen"	0.13092
"Joey Hamilton"	0.130681
"Chan Ho Park"	0.130563
"Arthur Rhodes"	0.130455
"Tim Hudson"	0.130427
"David Cone"	0.130253
"Dennis Cook"	0.130057
"Pete Harnisch"	0.129765
"Pat Hentgen"	0.129698
"Jesse Orosco"	0.128734
Kile	0.128443
"Mark Guthrie"	0.12841
"Paul Abbott"	0.128324
Finley	0.128239
Mlicki	0.128225
"Alan Embree"	0.127901
Schourek	0.127598
"Rolando Arrojo"	0.126764
"Rick Reed"	0.126704
D'Amico	0.126693
"John Snyder"	0.126542
"Graeme Lloyd"	0.126256
"Gil Heredia"	0.125846
"Garret Anderson"	0.125053
"Sidney Ponson"	0.125031
"Doug Davis"	0.124874
Belcher	0.124094
"Al Levine"	0.123373
Neagle	0.122953
"Chris Holt"	0.122415
"Mike Morgan"	0.122043
"Francisco Cordova"	0.12095
Candiotti	0.12065
"Mark Portugal"	0.12044
"Mike Remlinger"	0.12035
"BRIAN MEADOWS"	0.120344
Bohanon	0.120219
"Odalis Perez"	0.120217
"Shigetoshi Hasegawa"	0.119955
"Freddy Garcia"	0.118779
Hershiser	0.118659
"Bruce Chen"	0.11858
"Dave Mlicki"	0.11853
"Matt Perisho"	0.118277
"Sean Bergman"	0.11809
"Pedro Borbon"	0.118005
Harnisch	0.117855
"Brett Tomko"	0.117796
"Mike Stanton"	0.117426
"Darren Dreifort"	0.117059
Leiter	0.116399
Sele	0.116265
"Willie Blair"	0.115883
"Hideo Nomo"	0.115743
Glavine	0.114278
"John Smoltz"	0.114133
"Bryce Florie"	0.113505
"Pedro Martinez"	0.113395
Benes	0.113121
"Tim Wakefield"	0.112893
"James Baldwin"	0.112864
Nomo	0.111788
"Jason Isringhausen"	0.111469
"Tim Salmon"	0.111377
"Mo Vaughn"	0.111347
"Bobby Jones"	0.111325
Daal	0.111267
"Masato Yoshii"	0.110876
"Andy Ashby"	0.110062
"Scott Elarton"	0.109859
Ankiel	0.109708
"Greg Maddux"	0.109629
"Alex Fernandez"	0.10924
"Jason Christiansen"	0.109123
Fassero	0.108718
"John Franco"	0.108516
"Octavio Dotel"	0.108414
"Rheal Cormier"	0.107869
"Troy Glaus"	0.107477
Halama	0.107425
Burkett	0.107412
"Sandy Koufax"	0.106771
Mussina	0.106429
"Rich Rodriguez"	0.106409
Checo	0.105879
Dempster	0.105642
"Jose Lima"	0.105331
Moyer	0.105122
"Carl Pavano"	0.105099
Millwood	0.104994
"Paul Shuey"	0.104921
"Randy Velarde"	0.104603
"Billy Wagner"	0.104479
Appier	0.103831
Gagne	0.103499
Gooden	0.103409
"Ramiro Mendoza"	0.103388
Yoshii	0.103377
"Ryan Dempster"	0.103335
"Kerry Wood"	0.103067
"Ken Cloude"	0.102114
"Jose Mesa"	0.101983
"Ricky Bottalico"	0.101467
Trachsel	0.101263
Radke	0.101158
"Dustin Hermanson"	0.100833
"Jim Edmonds"	0.100559
Reynoso	0.1005
"Ismael Valdes"	0.100031
))
("Chuck Hagel" (desc 4571.79) (sims
"Fred Thompson"	0.228655
"Mike DeWine"	0.225679
"Bill Frist"	0.221259
"Arlen Specter"	0.197159
"Jon Kyl"	0.193996
"Pete Domenici"	0.184258
"Charles Grassley"	0.177736
"Bob Kerrey"	0.176599
"Olympia Snowe"	0.173287
"Richard Lugar"	0.171628
"Gordon Smith"	0.165884
"Susan Collins"	0.164469
"Mitch McConnell"	0.163895
"Peter Fitzgerald"	0.161218
"John Chafee"	0.160581
"Carl Levin"	0.155917
"John Breaux"	0.155305
"Max Baucus"	0.152653
"Connie Mack"	0.151797
"Rick Santorum"	0.148925
"Kay Bailey Hutchison"	0.148659
"Sam Nunn"	0.148301
"James Jeffords"	0.148174
"John Warner"	0.147532
"Dan Coats"	0.146773
"Tom Harkin"	0.144885
"Joseph Biden"	0.143297
"Slade Gorton"	0.143283
"Judd Gregg"	0.142963
"Joseph I. Lieberman"	0.140378
"Ted Stevens"	0.140257
"Bob Smith"	0.139983
"Frank Murkowski"	0.138859
Hagel	0.138343
"Richard Shelby"	0.136637
"Spencer Abraham"	0.134193
"Howard Baker"	0.129556
"Russell Feingold"	0.128754
"Sam Brownback"	0.127126
"Orrin Hatch"	0.126732
"Ben Nighthorse Campbell"	0.126454
"Daniel Patrick Moynihan"	0.126341
"Phil Gramm"	0.126231
"Charles E. Schumer"	0.125962
"Don Nickles"	0.124567
"Robert C. Byrd"	0.123833
"Robert Torricelli"	0.123706
"Harry Reid"	0.123341
"Byron Dorgan"	0.122786
"Jim Jeffords"	0.122482
"John Kerry"	0.120637
"Bob Graham"	0.117882
"Edward Kennedy"	0.115955
"Robert Bennett"	0.115538
"Jeff Sessions"	0.113924
"Blanche Lincoln"	0.113828
"George Voinovich"	0.113513
"James Inhofe"	0.112809
"John Ashcroft"	0.112665
"Warren Rudman"	0.112105
"Craig Thomas"	0.111229
"William Roth"	0.110341
"Olympia J. Snowe"	0.108963
"Herb Kohl"	0.10834
"Patty Murray"	0.108303
"Dianne Feinstein"	0.106808
"Charles Schumer"	0.10589
"Tim Hutchinson"	0.104891
"Strom Thurmond"	0.104405
"Robert Byrd"	0.103325
"Jesse Helms"	0.103318
"Dick Durbin"	0.102212
"Tim Johnson"	0.100736
"Paul Coverdell"	0.100471
"Richard Bryan"	0.0999508
"John Edwards"	0.0999279
"Evan Bayh"	0.0993719
"Ron Wyden"	0.0984618
"Max Cleland"	0.0982572
"Charles Robb"	0.0977419
"Pat Roberts"	0.0962346
"Larry Craig"	0.0957511
"Patrick Leahy"	0.0957496
"Tom Daschle"	0.0951702
"Lamar Alexander"	0.0948022
"Frank Lautenberg"	0.0939966
"Paul Wellstone"	0.093593
"Christopher Dodd"	0.0934835
"Frank Keating"	0.0929843
"Lincoln Chafee"	0.092164
"Russ Feingold"	0.0890615
R-Ohio	0.0884119
D-Vt.	0.0880703
"John Danforth"	0.0877718
"Richard Durbin"	0.0868447
"Edward M. Kennedy"	0.086113
"John McCain"	0.0853167
"Jim Bunning"	0.0852784
"Lindsey Graham"	0.0849342
"Thad Cochran"	0.0847845
"Tom Ridge"	0.0843536
"Barbara Boxer"	0.0829417
"Tommy Thompson"	0.0813034
"Kit Bond"	0.0802192
"Dale Bumpers"	0.0800346
"Joseph Lieberman"	0.0796268
"Kent Conrad"	0.078417
"J.C. Watts"	0.0774695
"Ernest Hollings"	0.075982
"John Conyers Jr."	0.0758583
"Gary Bauer"	0.0751891
"Mary Landrieu"	0.0749816
"Condoleezza Rice"	0.0742169
"Joe Lieberman"	0.0742156
"Gary Hart"	0.0740327
"Christopher Shays"	0.0736147
Helms	0.0716222
Hayworth	0.0713859
"John Kasich"	0.0704052
"Ted Kennedy"	0.0703491
"Chuck Schumer"	0.0702979
"Elizabeth Dole"	0.0702743
"Wayne Allard"	0.0700348
"Robert F. Kennedy"	0.0696457
"Arizona Republican"	0.0677707
"John Engler"	0.0667034
"Conrad Burns"	0.0665122
specter	0.0664172
"John Rowland"	0.0658694
"Barbara Mikulski"	0.0652087
"Orlando Mercado"	0.0643094
Gramm	0.0642873
"Paul Tsongas"	0.0639594
"Robert Smith"	0.063279
"Alfonse D'Amato"	0.0632067
Lott	0.0631779
"Lee Hamilton"	0.0631117
"Colin Powell"	0.062484
"Joseph McCarthy"	0.0620778
R-Va.	0.0617699
"Sheila Jackson Lee"	0.0615663
D-Mass.	0.060658
"Alan Keyes"	0.0602983
"John Conyers"	0.0602536
D-Conn.	0.0599015
"Lauch Faircloth"	0.0583253
"Bernard Sanders"	0.0582156
"Rod Grams"	0.0581046
"Christie Whitman"	0.0578835
"Dan Quayle"	0.0578756
"Tom Coburn"	0.0573243
"Charles Rangel"	0.0572943
"Trent Lott"	0.0566558
"George Mitchell"	0.0551928
"Christine Todd Whitman"	0.0551883
"John Glenn"	0.053346
"Tom Hayden"	0.0532436
R-Iowa	0.0530053
"George Pataki"	0.0529183
"Bill McCollum"	0.0528633
Ashcroft	0.0527136
"John Dingell"	0.0524086
R-N.H.	0.0520613
"Richard Riley"	0.0520024
Ruehe	0.051967
"Christopher Smith"	0.0517747
Kerry	0.0514943
R-Ariz.	0.0512226
"Barry Goldwater"	0.0510425
Grassley	0.0508677
"Dan Burton"	0.0505561
D-Ind.	0.0503843
"Martin Frost"	0.0502348
"Steve Forbes"	0.0492119
R-Ky.	0.0491677
R-Miss.	0.0490667
"George Ryan"	0.0490028
Chenoweth	0.048722
Moynihan	0.0485576
"Paul Simon"	0.048444
"Bob Franks"	0.048283
"Asa Hutchinson"	0.0480133
Chafee	0.0478898
Feinstein	0.0478282
Gibbons	0.0477836
Daschle	0.0477065
"Lamar Smith"	0.0475574
"Tom Campbell"	0.0469441
D-La.	0.0468662
R-Neb	0.0465172
"National Security Adviser Sandy Berger"	0.0464474
"Jack Kemp"	0.0463717
"John Boehner"	0.0463415
"Marc Racicot"	0.0458676
"James Sensenbrenner"	0.0457529
R-Idaho	0.0452429
"Patrick Buchanan"	0.0450748
"Jim Leach"	0.0448192
"John D. Rockefeller"	0.0447789
"Tom Vilsack"	0.0446539
))
("Chuck Knoblauch" (desc 13159.3) (sims
"Scott Brosius"	0.350555
"Tino Martinez"	0.325327
"Paul O'Neill"	0.300473
"Bernie Williams"	0.298118
"Derek Jeter"	0.282408
"Jorge Posada"	0.273076
Knoblauch	0.267858
"Chad Curtis"	0.238661
"Chili Davis"	0.224508
"Luis Sojo"	0.217594
"Ricky Ledee"	0.212591
"Edgardo Alfonzo"	0.212542
"Shane Spencer"	0.212451
"Joe Girardi"	0.211723
Alfonzo	0.205146
Jeter	0.199147
"Tim Raines"	0.195638
Brosius	0.194534
"Jay Bell"	0.192766
Olerud	0.192154
"Quilvio Veras"	0.189163
"Gerald Williams"	0.188091
"Nomar Garciaparra"	0.187222
"Chipper Jones"	0.186782
"John Valentin"	0.185353
"John Olerud"	0.18486
Garciaparra	0.184746
"Jose Offerman"	0.184666
"Randy Velarde"	0.180547
"Bret Boone"	0.180271
"Andruw Jones"	0.176649
"Warren Morris"	0.176588
"Jose Hernandez"	0.175827
"Ray Durham"	0.175385
"Jim Leyritz"	0.175372
"Pokey Reese"	0.171149
O'Neill	0.171126
"Mark McLemore"	0.170386
"Jeff Kent"	0.170371
"Troy Glaus"	0.170262
"Ryan Klesko"	0.169134
"Scott Rolen"	0.168917
"Mariano Rivera"	0.168877
"Luis Castillo"	0.168683
"Brian Daubach"	0.16341
"Scott Spiezio"	0.163069
"David Bell"	0.16306
"Craig Biggio"	0.162618
Offerman	0.162195
"Matt Williams"	0.161302
"Adam Kennedy"	0.161255
"Eric Owens"	0.160568
"Russ Davis"	0.159978
"Fernando Vina"	0.159831
"Miguel Cairo"	0.159512
Rolen	0.159426
"Omar Vizquel"	0.158091
"Clay Bellinger"	0.157712
"Jim Thome"	0.156627
Posada	0.155804
"Damian Jackson"	0.155708
"Jose Vidro"	0.153496
"Paul Konerko"	0.153054
"Mike Cameron"	0.152926
"Brian Jordan"	0.152835
Karros	0.152817
"Roberto Alomar"	0.152677
"Eric Karros"	0.152538
"Ken Caminiti"	0.152368
"Darin Erstad"	0.152246
"Mike Stanley"	0.151579
"Darren Lewis"	0.149153
"Mike Sweeney"	0.148963
"Rafael Palmeiro"	0.148865
"Tony Batista"	0.148853
"Walt Weiss"	0.148821
"Royce Clayton"	0.148447
Ledee	0.148075
"Eric Young"	0.147975
"Darryl Strawberry"	0.147971
"Jason Giambi"	0.147788
"Adrian Beltre"	0.147438
Vaughn	0.14717
"Andres Galarraga"	0.146604
Valentin	0.146109
"Mark Grudzielanek"	0.145696
"Delino DeShields"	0.145433
"Travis Fryman"	0.145183
"Mark Kotsay"	0.144984
"Tim Salmon"	0.144967
"Todd Walker"	0.14449
"Alex Rodriguez"	0.144081
"Fred McGriff"	0.143167
Martinez	0.143101
"Javy Lopez"	0.143008
"Andy Fox"	0.142967
"Robin Ventura"	0.14289
Erstad	0.142857
"Bill Mueller"	0.142192
"Andy Pettitte"	0.141923
"Mike Piazza"	0.141894
"Luis Alicea"	0.141647
"Rickey Henderson"	0.141269
"Rey Ordonez"	0.140948
"Damion Easley"	0.140651
Palmeiro	0.140041
Glaus	0.140004
"David Cone"	0.139811
"Tony Womack"	0.139503
"Garret Anderson"	0.139092
"Marvin Benard"	0.139087
"Tom Goodwin"	0.138974
"Enrique Wilson"	0.138505
"Joe Randa"	0.137605
Daubach	0.137368
"Todd Zeile"	0.137179
"Juan Gonzalez"	0.136678
"Joe McEwing"	0.136109
"Todd Hundley"	0.13608
"Mo Vaughn"	0.135978
"Lee Stevens"	0.135801
Vidro	0.13542
"Jason Varitek"	0.135318
"Phil Nevin"	0.13514
"Mike Lamb"	0.13481
Piazza	0.134737
"Jeff Bagwell"	0.134555
"Carl Everett"	0.134042
Alicea	0.133965
"Dean Palmer"	0.133795
"Greg Vaughn"	0.133722
"Kenny Lofton"	0.133003
"Gary Sheffield"	0.13242
"Todd Helton"	0.131713
"Mark Loretta"	0.131702
"Matt Franco"	0.13167
Rodriguez	0.131516
"Kevin Young"	0.131171
Ordonez	0.130337
"Jeff Frye"	0.13002
Randa	0.129934
"Jose Vizcaino"	0.129514
"Doug Glanville"	0.128979
"Kevin Jordan"	0.128608
Segui	0.128402
"Brian Hunter"	0.128283
"Edgar Martinez"	0.128266
"Geoff Jenkins"	0.128152
"Kelly Stinnett"	0.128086
Alomar	0.12792
Grudzielanek	0.127859
"Shawn Green"	0.12767
"Dante Bichette"	0.127497
"Derek Bell"	0.127375
"Matt Lawton"	0.127319
Lankford	0.127099
"Mickey Morandini"	0.127011
"Matt Stairs"	0.126884
"Damian Miller"	0.126867
"Cristian Guzman"	0.126865
"Ruben Rivera"	0.126582
"Devon White"	0.126446
"Trot Nixon"	0.125979
"Carlos Delgado"	0.125899
"Barry Bonds"	0.125511
"Ivan Rodriguez"	0.125506
"Ron Coomer"	0.125111
"Raul Mondesi"	0.124935
"Melvin Mora"	0.124386
"Russ Johnson"	0.123583
"Tony Eusebio"	0.123239
"Mark Grace"	0.123096
"Glenallen Hill"	0.123034
Fullmer	0.122682
Varitek	0.122649
Burnitz	0.122563
"Steve Finley"	0.121664
"Carlos Beltran"	0.121533
"Jim Edmonds"	0.121223
"Bill Spiers"	0.121214
Bagwell	0.121176
"Johnny Damon"	0.121107
"Orlando Hernandez"	0.120441
"Neifi Perez"	0.120375
"Tim Bogar"	0.119198
Fryman	0.118678
Guillen	0.118569
Womack	0.118387
"Jay Buhner"	0.118353
"Carlos Lee"	0.118282
Veras	0.118169
"Eric Chavez"	0.117862
"Terrence Long"	0.117597
"Troy O'Leary"	0.117479
"Henry Rodriguez"	0.11727
"B.J Surhoff"	0.117162
"Tony Graffanino"	0.117056
"Derrek Lee"	0.116781
Bordick	0.116538
"Mike Benjamin"	0.116416
Renteria	0.116215
Zeile	0.116163
"Ozzie Guillen"	0.115906
"Deivi Cruz"	0.11588
"Vladimir Guerrero"	0.115639
"Mike Bordick"	0.115627
Abreu	0.115485
"Dan Wilson"	0.115269
Vizquel	0.114689
"Travis Lee"	0.114131
"Alex Gonzalez"	0.113945
"Jay Payton"	0.113888
"Jose Valentin"	0.113777
Cirillo	0.113748
Giambi	0.11367
"Charles Johnson"	0.113562
Aurilia	0.113123
"Brady Anderson"	0.113113
"Craig Counsell"	0.113024
"David Ortiz"	0.112835
"Jeff Cirillo"	0.112784
"Bobby Bonilla"	0.112134
"Carlos Febles"	0.112072
Griffey	0.111951
Thome	0.111876
"Tony Phillips"	0.111594
"Dmitri Young"	0.111515
Agbayani	0.111359
"Quinton McCracken"	0.111218
"Al Martin"	0.111159
Furcal	0.110943
"Herbert Perry"	0.11056
"Benji Gil"	0.11056
Leyritz	0.110061
"Bengie Molina"	0.10935
"Butch Huskey"	0.109292
"Tony Gwynn"	0.109185
"Luis Lopez"	0.10875
"Danny Bautista"	0.108738
Biggio	0.108735
Hollins	0.108726
"Manny Ramirez"	0.108482
Higginson	0.108402
Spiers	0.108116
"Bobby Higginson"	0.108033
Boone	0.108027
"Will Clark"	0.107851
Surhoff	0.107385
"Kevin Stocker"	0.107289
DeShields	0.107258
"Jeff Conine"	0.106846
"Keith Lockhart"	0.106838
McGwire	0.106412
"Rusty Greer"	0.106111
"Bruce Aven"	0.105892
"Hideki Irabu"	0.105551
"Roger Cedeno"	0.105489
"Edgar Renteria"	0.10548
Nevin	0.105372
"Vinny Castilla"	0.105295
"Frank Thomas"	0.10529
Frye	0.105252
"Pat Burrell"	0.10454
Batista	0.104442
"F.P Santangelo"	0.10438
"Mike Lansing"	0.104374
"Miguel Tejada"	0.104173
"David Segui"	0.104044
"Bobby Abreu"	0.103724
"Ron Gant"	0.103684
"Lance Johnson"	0.10356
"Cal Ripken"	0.103541
Mondesi	0.10346
McGriff	0.103452
"Orlando Palmeiro"	0.103398
"Ricky Gutierrez"	0.103381
Lieberthal	0.103323
"Fernando Tatis"	0.103282
"Moises Alou"	0.103106
Sosa	0.103083
"Ken Griffey Jr."	0.103078
"Preston Wilson"	0.102903
"John Vander Wal"	0.102771
"Todd Pratt"	0.102685
"Pat Meares"	0.1026
"J.T Snow"	0.102375
batter	0.102362
"Gary DiSarcina"	0.101903
"Ramiro Mendoza"	0.101891
"Homer Bush"	0.101677
"CARLOS HERNANDEZ"	0.101602
"Jermaine Dye"	0.10154
"Richie Sexson"	0.101322
"Eric Davis"	0.101311
"Benny Agbayani"	0.101146
Velarde	0.101088
"Paul Bako"	0.100977
"Lenny Harris"	0.100896
McLemore	0.100867
Cora	0.100733
"Luis Gonzalez"	0.100722
Beltre	0.100436
Sojo	0.100106
Gonzalez	0.100046
))
("Chuck McElroy" (desc 1137.57) (sims
"Jason Christiansen"	0.299766
"Jesse Orosco"	0.288619
"Russ Springer"	0.288135
"Alan Embree"	0.28707
"Greg Swindell"	0.280288
"Randy Myers"	0.260764
"Mark Guthrie"	0.258916
"Pedro Borbon"	0.257682
"Ron Villone"	0.254713
"Mike Holtz"	0.242448
"Eric Gunderson"	0.23844
"Rich Rodriguez"	0.231774
"Brian Bohanon"	0.230763
"Mike Magnante"	0.218435
"Onan Masaoka"	0.216855
"Graeme Lloyd"	0.214921
"Mike Venafro"	0.211689
"Paul Spoljaric"	0.206865
"Mark Langston"	0.206271
"Pat Mahomes"	0.204654
"Arthur Rhodes"	0.203223
"Mike Remlinger"	0.202536
"Dennis Cook"	0.202224
"Turk Wendell"	0.200786
"Rheal Cormier"	0.198928
"Scott Radinsky"	0.197336
"Allen Watson"	0.196699
"Mike Timlin"	0.194049
"Rich Garces"	0.193439
"Mike Stanton"	0.191318
"Terry Mulholland"	0.189149
"Ricky Bottalico"	0.188347
"Doug Davis"	0.188257
"Doug Henry"	0.188184
"Heathcliff Slocumb"	0.188163
"Scott Sullivan"	0.186899
"Brian Anderson"	0.186673
"Jeff Nelson"	0.185478
"Mark Leiter"	0.184665
"Matt Mantei"	0.183914
"Darren Holmes"	0.183321
"Byung-Hyun Kim"	0.183019
"Jose Mesa"	0.182749
"Ed Yarnall"	0.179653
"Scott Karl"	0.17747
"Danny Patterson"	0.177323
"Danny Graves"	0.176459
"Jay Powell"	0.175814
"Billy Taylor"	0.174774
"Paul Shuey"	0.172573
"John Hudek"	0.172488
"Jason Grimsley"	0.171201
"Odalis Perez"	0.167516
"Kazuhiro Sasaki"	0.167462
"Greg McMichael"	0.167166
"Bryce Florie"	0.162896
"Shigetoshi Hasegawa"	0.162368
"Donne Wall"	0.160308
"Rick Aguilera"	0.159687
"Matt Perisho"	0.159524
"Todd Jones"	0.159213
"Francisco Cordero"	0.158445
"Kent Mercker"	0.158325
"Jamie Arnold"	0.157721
"Mike Fetters"	0.157181
"DOUG JONES"	0.155374
"Terry Adams"	0.154024
"Scott Williamson"	0.152347
"Bruce Chen"	0.152088
"Frankie Rodriguez"	0.151835
"Pete Schourek"	0.150805
"Mark Wohlers"	0.148886
"Jose Jimenez"	0.148768
"Kirk Rueter"	0.148595
"Dennis Martinez"	0.148532
"John Halama"	0.148142
"Dennis Reyes"	0.147576
"Derek Lowe"	0.146791
"Armando Benitez"	0.146564
"John Franco"	0.146309
"Kerry Ligtenberg"	0.145154
"Jeff Williams"	0.143235
"Matt Herges"	0.14193
"Dan Miceli"	0.141824
"Jim Parque"	0.141726
"Antonio Osuna"	0.138825
"Mark Petkovsek"	0.138791
"Matt Morris"	0.138155
"Jeff Shaw"	0.138089
"Shawn Estes"	0.13779
"Rod Beck"	0.137736
"Billy Wagner"	0.137613
"Eric Milton"	0.136942
"Roberto Hernandez"	0.136207
"Jeff Fassero"	0.136176
"Tom Gordon"	0.136085
"Rudy Seanez"	0.134169
"Rick White"	0.133527
"Darryl Hamilton"	0.133439
"Alan Mills"	0.132657
"Jeff Brantley"	0.132164
"Mark Gardner"	0.130822
"Tim Crabtree"	0.130776
"Kevin McGlinchy"	0.130615
"Chris Holt"	0.129995
"Chris Carpenter"	0.128638
"Jose Paniagua"	0.128491
"Al Levine"	0.127873
"Jarrod Washburn"	0.125838
"Kenny Rogers"	0.123934
"Robb Nen"	0.123527
Mahomes	0.122768
"Mac Suzuki"	0.122765
"John Rocker"	0.120559
"Brett Hinchliffe"	0.119984
"Gregg Olson"	0.118445
"Bob Wickman"	0.118214
"Paul Abbott"	0.116859
"Troy Percival"	0.116813
"Matt Franco"	0.116087
"Jim Corsi"	0.115402
"John Wetteland"	0.113443
"Darren Oliver"	0.113204
"Jamie Moyer"	0.112633
"Scott Elarton"	0.111965
"Jon Lieber"	0.110775
"Dave Burba"	0.110703
"Omar Daal"	0.110625
"Omar Olivares"	0.110318
Herges	0.110106
"Sterling Hitchcock"	0.110093
"Justin Thompson"	0.109992
"John Burkett"	0.109814
"Jason Isringhausen"	0.108089
Petkovsek	0.107971
"Carlos Perez"	0.107483
"Trevor Hoffman"	0.105684
"Brian Rose"	0.105205
"Robinson Checo"	0.105032
Cormier	0.104245
"John Wasdin"	0.103718
"Dennis Eckersley"	0.102673
"Gil Heredia"	0.102372
"Ramiro Mendoza"	0.102353
"Jamey Wright"	0.102301
"Wilson Alvarez"	0.10203
"Mike Williams"	0.101678
"Denny Neagle"	0.101419
"Mike Judd"	0.0993327
"Vladimir Nunez"	0.0990704
"Bill Pulsipher"	0.0979431
"Octavio Dotel"	0.0979273
"Ugueth Urbina"	0.0976475
Bohanon	0.0970137
"Chuck Finley"	0.0969573
"Armando Reynoso"	0.0969437
"Steve Avery"	0.0968798
"Roger Cedeno"	0.0968641
"Jeff Zimmerman"	0.0966872
"Orel Hershiser"	0.0957066
"Francisco Cordova"	0.0950962
Borbon	0.0947107
"Tim Wakefield"	0.0946322
"Mel Rojas"	0.0942632
Burba	0.0939854
Mlicki	0.0935028
"Mike Morgan"	0.0932915
Halama	0.0931686
"STEVE WOODARD"	0.092565
Heredia	0.0921752
"Mike Jackson"	0.0905959
Rusch	0.0905114
"Steve Parris"	0.0904856
Schourek	0.0900657
"Jeff Weaver"	0.0896197
Bottenfield	0.0894825
Mantei	0.0893445
"Paul Justin"	0.0884409
"Carl Pavano"	0.0881347
"Mariano Rivera"	0.0878222
Neagle	0.0878082
Crabtree	0.0864943
"BRIAN MEADOWS"	0.0858075
"Bobby Jones"	0.0857047
"Mike Hampton"	0.085697
"Joey Hamilton"	0.0852023
Grimsley	0.0851417
"Pedro Astacio"	0.0842146
"Brett Tomko"	0.0840342
"Russ Ortiz"	0.0838666
"Jason Bere"	0.0838544
"Andy Pettitte"	0.0837711
"Kevin Tapani"	0.083762
"Tom Candiotti"	0.0837263
"John Snyder"	0.0831955
acetaminophen	0.0822554
"Neifi Perez"	0.0821254
"Jesus Sanchez"	0.0816671
Wohlers	0.0816643
"Dave Mlicki"	0.0815737
))
("Chuck Schumer" (desc 1536.65) (sims
"Charles E. Schumer"	0.188472
"Charles Schumer"	0.154079
"Carolyn McCarthy"	0.152597
"Jerrold Nadler"	0.145578
"Carolyn Maloney"	0.144097
"Jose Serrano"	0.133941
"Lauch Faircloth"	0.11718
"Charles Rangel"	0.113125
"Nita Lowey"	0.112483
"Olympia J. Snowe"	0.110811
"Dan Lungren"	0.097796
"Daniel Patrick Moynihan"	0.0950405
Schumer	0.0928408
"Rick Lazio"	0.0869923
Ashcroft	0.086793
D-N.Y.	0.0861205
"Carl Levin"	0.0848749
Moynihan	0.0841086
Moseley-Braun	0.0839264
"Carol Moseley-Braun"	0.0836774
"Geraldine Ferraro"	0.0821487
"Barbara Mikulski"	0.0820999
"Rudy Giuliani"	0.0819937
"Barbara Boxer"	0.0792703
"Tom Hayden"	0.0785491
"Peter Fitzgerald"	0.0783352
"Barry Goldwater"	0.0775976
"Sepp Blatter"	0.0743616
Poplasen	0.0734853
"Dan Coats"	0.0731386
"Olympia Snowe"	0.0728441
"Frank Lautenberg"	0.0715661
Ammiano	0.0711644
"Rick Santorum"	0.070706
"Russ Feingold"	0.070482
"Max Baucus"	0.0703284
"Chuck Hagel"	0.0702979
"John Warner"	0.069581
Kazhegeldin	0.0691124
"Kent Conrad"	0.0681378
"Max Cleland"	0.0675176
"John Chafee"	0.0671684
Rangel	0.0669637
"Dick Durbin"	0.0659757
Goode	0.0656533
"Paul Coverdell"	0.065033
Merkel	0.06455
"Richard Bryan"	0.0643429
"Judd Gregg"	0.064205
Tarawneh	0.0640441
"Al D'Amato"	0.0638176
"Susan Collins"	0.0637073
"Patty Murray"	0.0634217
Bunning	0.063156
"Robert Bennett"	0.0631282
"Ricardo Lagos"	0.0626387
"Herb Kohl"	0.0625468
"Byron Dorgan"	0.0622974
"Jeff Sessions"	0.0622068
Zeroual	0.0616649
"Rod Grams"	0.061046
Blatter	0.0605139
Kesri	0.0601916
"Orrin Hatch"	0.0601683
"Board of Supervisors"	0.0598898
"Robert F. Kennedy"	0.0598005
"Conrad Burns"	0.0593899
"Charles Grassley"	0.0589791
"Lloyd Bentsen"	0.0589022
Nadler	0.0588374
Biden	0.0585053
"Evan Bayh"	0.0584038
"John Edwards"	0.0576867
"George Voinovich"	0.0573698
Bishara	0.0572877
"William Roth"	0.0572216
aldermen	0.0570381
"Joseph Lieberman"	0.0569554
"Kay Bailey Hutchison"	0.0567206
"Robert C. Byrd"	0.0564855
"Kit Bond"	0.056217
"Tim Johnson"	0.0561871
"Robert Torricelli"	0.0555547
"Joe Lieberman"	0.055332
"Richard Gephardt"	0.0553006
"Porter Goss"	0.0552297
Helms-Burton	0.0549633
"Lincoln Chafee"	0.0549462
Katsav	0.0547285
"Wayne Allard"	0.0547043
"Tim Hutchinson"	0.0545373
Coverdell	0.0540604
"George McGovern"	0.0540116
"Pat Roberts"	0.0537971
"Larry Craig"	0.0537774
"Christopher Dodd"	0.0535814
"Ernest Hollings"	0.053564
"Matt Fong"	0.0535136
Rau	0.0534771
"Tom Daschle"	0.0533329
"Mary Landrieu"	0.0529865
"Jon Kyl"	0.0529383
"Olusegun Obasanjo"	0.0528811
"Linda Smith"	0.0526286
"Charles Robb"	0.0520967
"Thad Cochran"	0.051926
"Connie Mack"	0.0518221
Cepeda	0.0517747
Ciampi	0.0516928
Mohajerani	0.0514306
R-Ariz.	0.0513549
SHUSTER	0.0513294
"Ted Kennedy"	0.0512636
"Peter Vallone"	0.0507211
"Gordon Smith"	0.0506838
Shui-bian	0.0505627
"Caroline Kennedy"	0.0504894
"Craig Thomas"	0.0503154
Easley	0.0502634
"Mike DeWine"	0.0501823
"New York Democrat"	0.050002
"Richard Shelby"	0.0498418
conferees	0.0497792
"Howard Baker"	0.0495702
"Robert Byrd"	0.0495555
"Joseph I. Lieberman"	0.0494274
Gurirab	0.0491613
Yarnall	0.0489859
Kerry	0.0489829
R-Idaho	0.0488644
"Ron Wyden"	0.0488438
Difrancesco	0.0487676
"Joseph McCarthy"	0.0486409
Engler	0.048493
"James Jeffords"	0.0484504
"James Inhofe"	0.048436
"Blanche Lincoln"	0.0480983
"Russell Feingold"	0.0478997
"Tom Harkin"	0.0475442
Kyl	0.0475118
Tillman	0.0474499
"Gary Hart"	0.0474081
Cuomo	0.0473044
"Pete Domenici"	0.0471659
"Phil Gramm"	0.0465594
Feinstein	0.0463893
"John Conyers Jr."	0.0461634
Mahomes	0.0461208
Demps	0.046005
Rogan	0.0457262
Latvians	0.0456439
"Arlen Specter"	0.045566
Robb	0.0454284
Gosper	0.0451354
"PLO Executive Committee"	0.0450255
Thapa	0.0449616
Kato	0.0448606
Thurmond	0.0446746
Maximus	0.0446719
"Abu Ala"	0.0446231
Hodges	0.0446177
Nemtsov	0.0445401
Lowey	0.0442959
"Perez Balladares"	0.0442242
Rafsanjani	0.0441786
Vallone	0.0439776
Gutman	0.0438777
Nujoma	0.0436898
Ftorek	0.0436708
Kolbe	0.0436586
Klestil	0.0436493
Tierney	0.043598
Musgrove	0.0435359
Schiff	0.0434866
"Jamil Mahuad"	0.0434864
Seleznyov	0.0433213
Lungren	0.0432931
"Ted Stevens"	0.0432556
"George E. Pataki"	0.0432475
Muckler	0.0431754
"Bob Kerrey"	0.0430753
"Edward Kennedy"	0.0429351
Kasich	0.0427609
"Jim Jeffords"	0.042596
"English Football Association"	0.0425905
Groscost	0.0424635
"Loretta Sanchez"	0.0424493
Soares	0.0424393
"John Ashcroft"	0.0424222
"House International Relations Committee"	0.0424086
"Frank Murkowski"	0.0422419
Bhattarai	0.04206
Dinkins	0.0418981
Luzhkov	0.0418699
"Paul Tsongas"	0.0418573
"Yitzhak Mordechai"	0.0417373
R-Iowa	0.0417246
Rua	0.0416933
"Spencer Abraham"	0.0416775
"John Danforth"	0.041625
))
("Chuck Smith" (desc 3140.76) (sims
"Travis Hall"	0.377732
"Lester Archambeau"	0.357066
"Shane Dronett"	0.304796
"Jessie Tuggle"	0.213282
"Ephraim Salaam"	0.211957
"Jason Taylor"	0.204165
"Dimitrius Underwood"	0.196832
"Charles Haley"	0.192065
"Ronnie Bradford"	0.190881
"Ray Buchanan"	0.189479
"Eugene Robinson"	0.188115
"William White"	0.186289
"Cornelius Bennett"	0.180547
"Pete Holland"	0.179453
"Kavika Pittman"	0.176175
"Bob Whitfield"	0.171707
"Courtney Brown"	0.166585
"Michael Strahan"	0.163726
"Simeon Rice"	0.163194
"Ebenezer Ekuban"	0.160186
"Greg Ellis"	0.159565
"Warren Sapp"	0.158323
"Derrick Alexander"	0.151112
"JEVON KEARSE"	0.150628
"Rich Brooks"	0.14958
"Trace Armstrong"	0.149511
"Aaron Williams"	0.148049
"Andre Wadsworth"	0.146532
"Alonzo Spellman"	0.141548
"Sam Adams"	0.140924
"BRIAN MEADOWS"	0.138854
"Ferric Collons"	0.133786
"Terance Mathis"	0.132435
"Jesus Sanchez"	0.13013
"Bruce Smith"	0.129101
"Eric Swann"	0.128947
"Chad Hennings"	0.12887
"Jeff Weaver"	0.128564
"Ryan Dempster"	0.127673
"Mark Smith"	0.126202
"Russ Ortiz"	0.124183
"Cortez Kennedy"	0.122195
"Gene Williams"	0.121812
"Chris Carpenter"	0.117901
"John Randle"	0.116862
"Eric Milton"	0.115239
"Dana Stubblefield"	0.114374
"Jamal Anderson"	0.113336
"Mark Gardner"	0.1131
"Brandon Mitchell"	0.113071
"Ken Kocher"	0.112715
"Brian Moehler"	0.112579
"Javier Vazquez"	0.112339
"Reggie White"	0.11166
"Tony Martin"	0.110265
"John Snyder"	0.109957
"Chad Eaton"	0.107835
"Jamey Wright"	0.106649
"Kirk Rueter"	0.105409
Farr	0.105259
"Henri Crockett"	0.103437
Tuggle	0.103394
"Chris Chandler"	0.102573
"Bryce Florie"	0.102346
"Paul Abbott"	0.101889
"Scott Karl"	0.101448
"Willie McGinest"	0.101308
"John Burkett"	0.10102
"Sidney Ponson"	0.10074
"Tim Hudson"	0.0996441
"Steve Parris"	0.0992891
"Bryant Young"	0.0992359
"Pat Rapp"	0.0991773
"Francisco Cordova"	0.0987999
"Woody Williams"	0.0983556
"Chris Calloway"	0.0975336
"Brian Rose"	0.0971972
"Everett McIver"	0.0963768
"Paul Byrd"	0.0961071
"Gil Heredia"	0.0958693
"Dave Mlicki"	0.0957286
"Jon Lieber"	0.095684
"Alex Fernandez"	0.0955138
"Todd Husak"	0.0951825
"Brad Penny"	0.0946957
"O.J Santiago"	0.0946932
"Jason Schmidt"	0.0936664
"Leon Lett"	0.0935493
"Dustin Hermanson"	0.0934214
"Armando Reynoso"	0.0932311
"Orlando Brown"	0.0927249
"Tom Candiotti"	0.0926325
"Jose Jimenez"	0.0926203
"Ramon Ortiz"	0.0921292
"Shawn Estes"	0.091755
"Terry Mulholland"	0.0916023
"Neil Smith"	0.0913496
"Erik Williams"	0.0911815
"Gary Brown"	0.0910935
"Chris Holt"	0.0909651
"Jim Parque"	0.0909561
Parris	0.090937
"Bill Pulsipher"	0.0899102
"Jason Bere"	0.0894296
"Kevin Tapani"	0.0893209
"Mark Clark"	0.0891538
"Lomas Brown"	0.0890148
"Michael Myers"	0.0888753
"John Halama"	0.0879345
Bottenfield	0.0878474
"Scott Schoeneweis"	0.0876017
"Pat Hentgen"	0.0874654
"Solomon Page"	0.0869855
"Freddy Garcia"	0.0868482
"Pedro Astacio"	0.0868366
"Mike Jones"	0.0867369
"Adrian Murrell"	0.0867298
Olivares	0.0865578
"Howie Long"	0.0864959
Andreychuk	0.0862966
"Brett Tomko"	0.0862727
"Steve Atwater"	0.0862525
"Kent Bottenfield"	0.0861637
"Steve Sparks"	0.085666
"Bruce Chen"	0.0855277
"Steve DeBerg"	0.0854198
"Darren Oliver"	0.085392
"Dave Burba"	0.0853912
"Pete Harnisch"	0.0846903
"Gil Meche"	0.0843819
"Brad Radke"	0.0841794
"Kevin Appier"	0.0841689
Woodard	0.0840509
"Darren Dreifort"	0.0837574
Mercker	0.0833478
"Wilson Alvarez"	0.0831008
"Trevor Kidd"	0.0825945
"Omar Olivares"	0.0825546
"Doug Johnson"	0.0822214
"Dave Campo"	0.0820535
"Jamie Moyer"	0.081961
Rusch	0.0818526
"Shane Reynolds"	0.0817633
"Vladimir Nunez"	0.0816091
"Steve Beuerlein"	0.0813712
Benes	0.0812262
"Carl Pavano"	0.0809942
"Jason Dickson"	0.0808749
"Jeff Fassero"	0.0808566
"Dave Wohlabaugh"	0.0807669
"Keith Brooking"	0.0805838
"Mike Sirotka"	0.0805733
"Michael Booker"	0.0805266
"Brian Bohanon"	0.0801011
"Flozell Adams"	0.0800152
"Matt Morris"	0.0799862
Harnisch	0.0798977
Mahomes	0.0796204
"Chuck Finley"	0.0796043
Rueter	0.0794056
"Sean Bergman"	0.0793728
"Tim Dwight"	0.0792268
"Pete Schourek"	0.078999
"Livan Hernandez"	0.0788263
"Mark Portugal"	0.0788048
Mlicki	0.0787618
"Brian Anderson"	0.0787085
"Greg Swindell"	0.078403
"Jamir Miller"	0.0783102
"Tim Belcher"	0.0782513
"Brian Cooper"	0.0779437
"Bartolo Colon"	0.0777559
"Steve Avery"	0.0776804
"L.J Shelton"	0.077438
"Larry Allen"	0.0773678
"Ramon Martinez"	0.077297
"Ryan Glynn"	0.0769763
"Matt Herges"	0.0769488
"Bruce Armstrong"	0.0769289
Moehler	0.0768766
"Scott Erickson"	0.0767253
Elarton	0.0766283
"Doug Pederson"	0.0764748
"June Jones"	0.0763893
"Ron Villone"	0.0763862
"Todd Stottlemyre"	0.0763201
"Rick White"	0.0762614
Sele	0.076032
"STEVE WOODARD"	0.075986
Moyer	0.0757485
"Odalis Perez"	0.0757172
"James Baldwin"	0.0756979
"Charles Nagy"	0.0755785
"Joey Hamilton"	0.075575
D'Amico	0.0754646
"Ken Hill"	0.0753162
"Scott Elarton"	0.0745984
Borbon	0.0743886
Schourek	0.0743043
Pavano	0.074189
))
(chuckle (desc 9435.83) (sims
laugh	0.238154
giggle	0.195078
smile	0.151366
grin	0.146446
smirk	0.144351
sigh	0.14015
wince	0.135783
shrug	0.131978
whoop	0.12772
laughter	0.125151
groan	0.121408
wink	0.115005
grimace	0.109435
gasp	0.103938
YAWN	0.103528
snort	0.102195
snicker	0.0988461
guffaw	0.0944985
frown	0.0944898
sob	0.0931343
murmur	0.0918269
twinkle	0.091269
applause	0.0897594
boo	0.0881932
peep	0.0841165
shudder	0.0833128
catcall	0.0827032
shriek	0.0810766
"sense of humor"	0.0804525
howl	0.0778894
jeer	0.0767386
ovation	0.0764808
"straight face"	0.0755774
moan	0.0752366
nod	0.0744482
sarcasm	0.0713658
ribbing	0.0701756
humor	0.0700068
hoot	0.0692687
understatement	0.0657805
"standing ovation"	0.0634652
glee	0.0634632
whisper	0.0633686
incredulity	0.0626166
glance	0.060703
wail	0.0604781
yelp	0.0604657
squeal	0.059872
sneer	0.059241
asides	0.0589737
growl	0.0588265
eyebrow	0.0586508
amusement	0.0586023
pleasure	0.0583933
gibe	0.057734
rumble	0.0569258
handshake	0.0568935
dimple	0.0567491
bemusement	0.0566111
trepidation	0.0556792
worldliness	0.0553298
gleam	0.0552573
drawl	0.055247
quip	0.0550529
grunt	0.0549174
amen	0.0546809
ruckus	0.054636
"sight gag"	0.0545052
sadness	0.0543579
whimper	0.0543506
wisecrack	0.0542101
one-liner	0.0538201
scorn	0.0534311
hush	0.0533762
scowl	0.0529755
satisfaction	0.0529644
thumbs-up	0.0527199
rumblings	0.052301
jibe	0.0521055
hiccup	0.0515542
outcry	0.0514777
pleaser	0.0512728
wit	0.0512302
admiration	0.0510027
cackle	0.0509211
twang	0.0502892
hiss	0.050198
cough	0.0493388
jab	0.0492105
"hue and cry"	0.0490542
expletive	0.0488673
crap	0.0484068
"rain shower"	0.0477625
banter	0.0476196
rejoinder	0.0475298
derision	0.0473942
anecdote	0.0472669
"curtain call"	0.047261
consternation	0.0471957
mileage	0.0471708
skepticism	0.0465849
"inferiority complex"	0.0461326
licking	0.0461325
candor	0.0456159
annoyance	0.0455085
indignation	0.0455053
curveballs	0.04525
cockiness	0.045246
"speeding ticket"	0.045107
"small talk"	0.0450218
astonishment	0.045004
glint	0.0447821
dismay	0.0445148
caveat	0.044416
curiosity	0.0444052
finality	0.0443902
"sonic boom"	0.044241
"hundred thousand"	0.0441014
epithet	0.0437007
"mouse click"	0.0436517
"loud noise"	0.0436206
up-and-down	0.0434221
dustup	0.0433945
"close call"	0.0427977
tinge	0.0424726
bitterness	0.0422281
potshot	0.0421812
noise	0.0421478
chorus	0.0420352
revulsion	0.0418554
hesitation	0.0418398
irritation	0.0418106
awe	0.0418097
kink	0.0414891
disdain	0.0410868
wrinkle	0.0410263
glimmer	0.0410226
wrister	0.0408544
"tone of voice"	0.040795
inkling	0.0406049
retort	0.0405069
heckler	0.0404473
exclamation	0.0403312
demeanor	0.0401739
))
(Chukwu (desc 1888.99) (sims
Kagalovsky	0.111471
Grossberg	0.109109
Faget	0.109087
Berenson	0.103049
Fasano	0.102726
Carneal	0.10176
Soliah	0.101001
Abram	0.100564
Pape	0.099745
Mckee	0.0980495
Nasrin	0.0945928
Briscoe	0.093147
krueger	0.0931241
Sang	0.0930442
Hagen	0.0928842
Molinari	0.0918417
Meissner	0.0908542
Canady	0.0904829
Noe	0.0901561
Ding	0.0899853
LeFave	0.0897886
Bisek	0.0894112
Wiggins	0.0889181
Barad	0.0877313
Tilberis	0.0867407
Madsen	0.0863306
Mucha	0.0861287
Stahl	0.0860657
Kiareldeen	0.0851815
Daniels	0.0847769
Kalejs	0.0837829
Webdale	0.0836028
Kirby	0.0832717
Kurth	0.0829811
Suarez	0.0819052
Camdessus	0.0816911
Merritt	0.0811537
Shulman	0.0810862
Kraus	0.0800046
Kerik	0.0798653
Soto	0.0798402
Cleary	0.0795756
Moscoso	0.0795299
Arron	0.0789377
Scruggs	0.0788728
Hickman	0.078852
Streep	0.0787209
Fiorina	0.0784843
Markovic	0.0780901
Zheng	0.0780312
Portman	0.0771685
"Maturino Resendiz"	0.0765681
Figueroa	0.0762747
Bassett	0.0762473
Rosenthal	0.0762113
"Cindy McCain"	0.0759778
Hamlin	0.0757082
Huffington	0.0751975
Shriver	0.0745933
Yoon	0.0745838
D'Alessandro	0.0742134
Trevi	0.0741304
Kern	0.0734863
Midler	0.0734549
Oliveira	0.0733187
Hoke	0.073078
Ashrawi	0.0730452
Bartoli	0.0729173
Barlow	0.0724852
Hartman	0.0724113
Benton	0.0723465
Quintero	0.0723392
Caesarean	0.0723039
Dukakis	0.0720801
Arbour	0.0719964
Soyinka	0.0715051
Donohue	0.0714903
Seligman	0.0708789
Stephenson	0.0708601
Deneuve	0.0707703
O'Sullivan	0.0707363
Merlino	0.0707007
Bessette	0.0702624
Bhutto	0.0702379
Karan	0.0700569
Bushnell	0.0698698
Dion	0.0696674
Jayasinghe	0.0695861
Garza	0.0694696
Landau	0.0694309
Hobson	0.0692601
Naumann	0.0692525
Paltrow	0.0691844
Salinger	0.0691841
Skiles	0.0690481
Gotti	0.0690415
Redgrave	0.0688294
Shipley	0.0687463
Schott	0.0687248
Trudeau	0.0685438
Owens	0.0685227
Bening	0.0684306
Brazile	0.0684277
Greenwald	0.0684276
Cline	0.0675709
Woodard	0.067537
Marquez	0.0673621
Jaffe	0.0671251
Fuentes	0.0671046
Gillespie	0.0669661
Sharma	0.0668874
Ricart	0.066712
Portnoy	0.066712
Raznatovic	0.0666787
Vasquez	0.0664661
Sorensen	0.0664558
Ramsey	0.0664204
Janssen	0.0664146
Jorgensen	0.0663708
Snowe	0.066307
Laudrup	0.0662386
Webster	0.0659142
Menchu	0.0658006
Newhouse	0.065611
Donnelly	0.0653962
Guerin	0.0653228
Pearce	0.0653016
Fay	0.0652384
Forrest	0.065213
Currier	0.0651542
Leigh	0.0650366
DeFrantz	0.0649653
Farrell	0.0649338
Hinckley	0.0649078
Mann	0.0648452
Moran	0.0648137
Boardman	0.0648083
Yates	0.0647919
Goldstein	0.0647121
Jung	0.0646065
Lindbergh	0.0645871
Duff	0.0645444
Mohamed	0.0643238
Slatkin	0.0643183
Jensen	0.0642845
Hanley	0.0642112
Arizmendi	0.0641178
Drexler	0.0640113
Henning	0.063827
Greco	0.0637714
Manuel	0.0637681
"Suu Kyi"	0.0637035
Bedell	0.0636734
Weil	0.0636437
Youk	0.0635309
Marks	0.0634996
Grunwald	0.0633768
Ingalls	0.0633692
Cindy	0.0633473
Ralston	0.0633089
"other seven"	0.0631373
Langer	0.0628552
Knievel	0.0628321
Tarawneh	0.0625919
Lurie	0.0625164
Kurtz	0.0625077
Brody	0.0624807
Weiner	0.0624592
Witherspoon	0.0624278
Bowman	0.0624113
Nathaniel	0.0621274
Gaffney	0.06212
Alves	0.0620809
Lockwood	0.0620664
Laperriere	0.0620372
Ganga	0.0619768
Morissette	0.0619162
Flores	0.0616034
Hazzard	0.061529
Kusama	0.0613669
Torres	0.061344
Tillman	0.0612643
Phelps	0.0610978
Krasniqi	0.0610961
Pirro	0.0610785
Schiff	0.0610394
Morley	0.0609793
Perrot	0.0609623
Rodionov	0.0609532
Betts	0.0609225
Barrett	0.0606808
Fulani	0.0605899
lauder	0.0605028
Bragg	0.0604986
Hahn	0.0603594
Saramago	0.0602099
Kimes	0.0601974
Jimenez	0.0601735
Layden	0.0601172
O'Hara	0.0600541
))
(chum (desc 4706.16) (sims
shipmate	0.0801842
"law partner"	0.0747376
PAL	0.0744508
buddy	0.0738718
bandmates	0.0723434
"English teacher"	0.0712594
sweetheart	0.0698923
sockeye	0.0672193
grad	0.0651808
classmate	0.0649959
steelhead	0.0642362
acquaintance	0.0632068
roommate	0.0631159
soulmate	0.0626301
playmate	0.0589107
"baseball coach"	0.0586266
crony	0.0582428
"track star"	0.0573431
confidant	0.0559912
crewmates	0.0552086
housemate	0.0542431
idol	0.0541504
"partner in crime"	0.0537459
yearbook	0.0530143
bloomer	0.0517912
"coho salmon"	0.0515308
cellmate	0.0508185
"political boss"	0.0503462
admirer	0.0500341
schoolmate	0.0499664
housemates	0.0495637
"basketball season"	0.0495565
"security consultant"	0.0487973
tormentor	0.0482448
antagonist	0.0479614
"science teacher"	0.0470838
"king salmon"	0.047074
confidante	0.0470347
"hockey coach"	0.045962
coho	0.0459059
prof	0.0458148
Ciampi	0.0454621
"sparring partner"	0.0454568
warhorse	0.0454323
consort	0.0450031
co-worker	0.0448165
avocation	0.0447737
"test pilot"	0.0444004
Jonah	0.0440883
collaborator	0.0440574
"fellow worker"	0.0440039
"good story"	0.0438301
mafioso	0.043633
Ohioan	0.0433886
"football coach"	0.0433437
hotshot	0.0432878
curmudgeon	0.0432292
"newspaper editor"	0.0430417
"church member"	0.0430041
miler	0.0429402
axiom	0.0427936
highflier	0.0426693
"altar boy"	0.042597
hunk	0.0425703
"white elephant"	0.0425536
outcast	0.0423931
cinematographer	0.0423727
dropout	0.0423464
"newspaper publisher"	0.0422459
Legos	0.0421581
"volleyball player"	0.0421427
jock	0.0421116
headmaster	0.0419934
patrolman	0.0419568
Novak	0.0418896
paramour	0.0418434
underling	0.0416733
"coaching job"	0.0412448
caddie	0.0411947
exec	0.0411743
"little finger"	0.0411654
has-been	0.0411225
pacifist	0.0410167
Atlantan	0.04091
Irishmen	0.0407309
"basketball coach"	0.0407111
"math teacher"	0.0407064
comrade	0.0406974
"baseball player"	0.0405056
"hockey player"	0.0403136
apparatchiks	0.0402929
"jazz band"	0.0402785
"Black Panther"	0.0401392
delinquent	0.0400329
))
(chun (desc 5582.08) (sims
Roh	0.13788
Ntuyahaga	0.119236
Blackthorne	0.11558
"Maturino Resendiz"	0.109522
Neulander	0.107023
Priebke	0.105958
Papon	0.103036
"Russell Peeler"	0.10001
Villanueva	0.0983946
McVeigh	0.0981111
Berenson	0.0958481
Tae-woo	0.0940564
ex-president	0.0939607
Lazarenko	0.0935232
Nebiolo	0.0919505
"Ta Mok"	0.0912929
Lileikis	0.0900587
Karbaschi	0.0896266
Suharto	0.0894452
Agca	0.0888291
Hofer	0.0877451
Cheung	0.0857785
Sithole	0.085252
Kalejs	0.0851095
Cisneros	0.0849311
"Terry Nichols"	0.0846129
"Dinko Sakic"	0.0845885
Rao	0.0844372
"Carlos Salinas"	0.0837824
"Timothy McVeigh"	0.08371
Huang	0.0836465
Ghalib	0.0835549
Weizman	0.0831862
Samper	0.082784
Swango	0.0824397
"Iranian Jews"	0.0823877
"Raul Salinas"	0.0820407
Gotti	0.0816132
Mladic	0.0812526
Musa	0.0807097
Mokhehle	0.0806475
Faget	0.0805869
"Edwin Edwards"	0.0803404
Hamid	0.080264
Yoo	0.0802639
"El Hage"	0.0801697
Akayesu	0.080122
Einhorn	0.0800716
Bhutto	0.0799058
Deri	0.0795571
Pinochet	0.07928
Merlino	0.079268
"Mike Espy"	0.0792291
Nikitin	0.0790636
Kaunda	0.0785985
Berisha	0.0783662
Kesri	0.0781952
Abernathy	0.0781791
Cubas	0.0781183
Zhao	0.0779907
Mikhailov	0.0778
Stayner	0.0776011
Sankoh	0.0775994
Strauss-Kahn	0.0774932
Cheng	0.0773729
Tudjman	0.0773415
Raduyev	0.0772137
McDougal	0.0760772
"Sali Berisha"	0.0759169
Skakel	0.0757016
Ershad	0.075592
Natale	0.0754318
Capano	0.0752002
Prabowo	0.0750198
Haughey	0.0749558
Barrionuevo	0.0739679
Kazhegeldin	0.0738653
Advani	0.0735525
Eyadema	0.0734327
Kimeses	0.0732601
Symington	0.0731615
Kang	0.0730242
"Angel Maturino Resendiz"	0.0729059
Trie	0.0727959
Limon	0.0726382
Kwasniewski	0.0725501
"Theodore Kaczynski"	0.0724373
Botha	0.0723672
Soliah	0.0720596
Carruth	0.0717471
Donohue	0.0715448
Choi	0.0714913
Manbar	0.0710754
Shinn	0.0709906
"Renato Ruggiero"	0.0709348
Sheinbein	0.070853
Lundy	0.0704698
Gravano	0.0704449
"Augusto Pinochet"	0.0703299
Laudor	0.070302
Cavallo	0.0702749
Pryor	0.0701826
Shulman	0.0701804
Haouari	0.0698718
Shayler	0.0697243
Berlusconi	0.0696614
Muhammad	0.0693798
Contreras	0.0693194
Paciello	0.0691644
Manley	0.0690865
Zhang	0.0690502
Bizimungu	0.0690417
Liu	0.0690066
Jenoff	0.0689774
Sharif	0.0689303
Shipman	0.0687208
Mordechai	0.0685697
Karimov	0.0684051
Chung	0.0681262
Quackenbush	0.0680972
Kodikian	0.0680847
Lin	0.0680646
"Radovan Karadzic"	0.0680014
Zeroual	0.0678137
Lacresha	0.0676609
Mitnick	0.0673561
Robison	0.0673461
"Webster Hubbell"	0.0670068
Yosef	0.0669347
Shevardnadze	0.0669273
Soeharto	0.066852
"Al Fayed"	0.0668132
Salinas	0.066624
"John Kim"	0.0665931
"Ruiz Massieu"	0.0665511
Karr	0.0665402
Fortier	0.0659961
Markhasev	0.0659236
Fabius	0.0658778
McWilliams	0.0654547
Winkler	0.0654463
Masire	0.0654404
Martorano	0.065401
Schweitzer	0.0652909
Diouf	0.065152
Ntakirutimana	0.0651388
Nujoma	0.0649934
Lukashenko	0.0646299
Kim	0.0646198
Walesa	0.0646105
Kaczynski	0.0645728
LeFave	0.0645396
furrow	0.0645006
"Slobodan Milosevic"	0.064358
Hirschfeld	0.0643422
"Ramsey Clark"	0.0642754
Cleary	0.0641844
Lim	0.06414
Valenzuela	0.0639966
Wiranto	0.0639832
"Ray Lewis"	0.0638961
Peng	0.0638342
McKinney	0.063741
Ritter	0.0637252
Kiareldeen	0.0636782
"Pervez Musharraf"	0.0636255
"Khieu Samphan"	0.0636174
"Yigal Amir"	0.0635832
Sebaggala	0.0632204
Harris-Lewis	0.0631948
"Ansumane Mane"	0.0631575
Mohamed	0.0631015
Romanowski	0.0630363
Schwarz	0.0630293
Bowers	0.0630179
Imelda	0.0629855
"Ayatollah Ruhollah Khomeini"	0.0629354
Kagame	0.0628956
Koirala	0.0628349
Sakic	0.0627833
Nickerson	0.0627259
Hrawi	0.0626412
Ickes	0.0625666
Noboa	0.0624755
Garofalo	0.0622948
Blanton	0.0622303
Stoyanov	0.0622073
Vieira	0.0620427
Aleman	0.0617226
Oviedo	0.061713
Mattysse	0.0616411
Kambanda	0.0615875
Menem	0.0615045
Ng	0.061495
Qin	0.0614416
Krajisnik	0.0612208
Chen	0.0610893
Sharma	0.0610255
"Lino Oviedo"	0.0609019
Nemtsov	0.0608939
))
(Chung (desc 8408.34) (sims
Huang	0.128071
Tsang	0.123299
Constantinescu	0.118972
"de Charette"	0.116184
Gravano	0.115152
Chavalit	0.115144
Jenoff	0.114732
Lim	0.114086
Solana	0.112429
Azad	0.112136
Goh	0.111043
Keating	0.110631
Daley	0.110225
Luong	0.110145
Tung	0.108186
Hu	0.106874
Ivanov	0.106845
Luo	0.106628
Surin	0.105792
Hersh	0.105429
Fassett	0.104723
Kim	0.104679
Stoyanov	0.104052
Rifkind	0.102039
Sebaggala	0.101996
"Johnny Chung"	0.101741
Li	0.101154
Banharn	0.101026
Ng	0.100834
Cohen	0.100321
Scharping	0.100172
Shayler	0.100106
Wolfensohn	0.0996666
Koo	0.0996353
Komura	0.0994906
Wang	0.099155
Shi	0.0991406
Fagan	0.0989417
Blumenthal	0.0982213
Qiao	0.098192
Ogata	0.0978319
Wu	0.0975674
McCurry	0.0968558
Kinkel	0.0965456
Rashid	0.0962461
Ikeda	0.0958069
Downer	0.0954738
Gotti	0.0949844
Cheng	0.0948789
Skakel	0.0943592
Niyazov	0.0940346
Zhang	0.0939044
Ganga	0.0937824
Lipponen	0.0937488
Greenberg	0.0934178
Hirschfeld	0.0933834
Sergeyev	0.0932494
Martorano	0.0925792
Kimes	0.0925154
Guterres	0.0923575
Riady	0.0922925
Shipley	0.0922254
Faget	0.0921894
Valenzuela	0.0920088
Welch	0.0914598
Qian	0.0914461
Kostov	0.091357
Zhu	0.0911772
Menem	0.0910391
Ruehe	0.0909633
Abdullah	0.0906129
Klima	0.0900188
Obuchi	0.0900071
Velayati	0.0897859
Leghari	0.0897329
Reimer	0.0895006
Fortier	0.0893979
Lee	0.0892235
Azizah	0.0890416
Jayakumar	0.0885044
Bhutto	0.0884923
Chen	0.0884594
Estrada	0.0880886
Mkapa	0.0880451
Mordechai	0.0878528
Mohamed	0.087486
"Than Shwe"	0.0874005
Mbeki	0.087316
Schwartz	0.0873101
Kok	0.0872311
Finkel	0.0866644
Phieu	0.0866545
Rawlings	0.0866043
Hariri	0.086566
Vollebaek	0.0865173
Mcbride	0.0864533
Zuma	0.0864087
Kaunda	0.0863288
Meskini	0.0862304
Ritter	0.0861217
Mikhailov	0.0860571
xu	0.0860198
Kuchma	0.0860058
Prodi	0.0855608
Aziz	0.0855418
perry	0.085123
Narayanan	0.085033
Ickes	0.0849467
Weizman	0.0849251
Ebersol	0.0847193
Bronfman	0.084454
Brownlee	0.0842547
Chuan	0.0842288
Sharif	0.0840389
Saleh	0.0839068
Talbott	0.0839027
Nujoma	0.0837981
Hess	0.0835273
Sheinbein	0.0832187
wen	0.0832054
BEGAY	0.0832007
Chissano	0.0831678
Salim	0.0830559
Imperatori	0.0828208
Patten	0.0827853
Liu	0.0827718
Chan	0.0827284
Vasile	0.0826813
Hasina	0.0826687
Babbitt	0.0825823
Sheppard	0.0825634
Fong	0.0825268
Tevanian	0.0825168
DeBartolo	0.0824705
Chiluba	0.0824366
"John Paul"	0.0822992
Ratner	0.0821791
Kodikian	0.0821676
Jarrell	0.0821654
Hamlin	0.0821264
Hashimoto	0.0821015
Trie	0.0820492
Wong	0.0820226
Rakhmonov	0.0820091
Yassin	0.0818732
Camdessus	0.0818524
Gowda	0.0818316
tang	0.0814474
Hanley	0.081403
Gallagher	0.0813278
Kharrazi	0.0811315
Leung	0.0811121
Donohue	0.0809421
Advani	0.0808825
Blackwell	0.0805884
Petersen	0.0805579
McKinnon	0.0805063
Bizimungu	0.0804588
Vedrine	0.0803794
Ikimi	0.080331
Kyprianou	0.0801987
Goldstein	0.0800758
Brundtland	0.0799295
Sorensen	0.0799182
McCaffrey	0.0798945
Yoo	0.0798555
Hanna	0.0796155
Gujral	0.0795855
Dunbar	0.0793193
Fung	0.0792089
McVeigh	0.0791977
Howard	0.079152
Sihanouk	0.0791495
Ibrahim	0.079124
Dini	0.079124
Kwasniewski	0.0788754
Mitnick	0.0788304
Arum	0.0787797
Whitacre	0.0787675
Granic	0.078766
Insulza	0.0786483
Bidwill	0.0786331
Mandela	0.0786251
Colburn	0.0785979
McKinney	0.0785886
Aznar	0.0785554
Volpe	0.0785303
Wei	0.0784307
Vajpayee	0.0783053
Fischer	0.0782782
Christopher	0.0782481
Mahathir	0.0781417
Tian	0.0781403
Bratton	0.0781312
Nazarbayev	0.0780892
Erbakan	0.0780009
Iglesias	0.0778456
Blair	0.0777554
Stepashin	0.0776742
Joklik	0.0776373
))
(chunk (desc 44418.2) (sims
slice	0.153624
piece	0.141198
portion	0.130634
cube	0.125437
slab	0.109805
hunk	0.108168
sliver	0.107622
fragment	0.0981228
strip	0.0939477
amount	0.0931681
shard	0.0898744
bulk	0.0888756
lump	0.0873017
layer	0.0852568
bit	0.0838872
clump	0.0819614
wedge	0.0818873
pile	0.080896
tomato	0.0781663
ton	0.0758001
fraction	0.0757887
patch	0.0723425
half	0.0705572
"nearly two-thirds"	0.0698131
debris	0.0696819
mixture	0.0696342
heap	0.0695418
morsel	0.069527
bag	0.0688066
quantity	0.0685559
one-third	0.0680098
brick	0.0678418
sum	0.0676764
chip	0.0671846
swath	0.0667018
"one third"	0.0665174
"about one-third"	0.0658198
leaf	0.0657801
block	0.0657544
thirds	0.065662
onion	0.0656445
fruit	0.0654934
meat	0.0647363
percentage	0.0645609
shred	0.0641499
segment	0.0641484
cake	0.0637776
Dice	0.0636211
lot	0.0633377
two-thirds	0.0632994
scrap	0.0631827
nut	0.0630994
chicken	0.0630386
juice	0.0628532
load	0.0628443
cheese	0.0626029
flavor	0.0622551
worth	0.0618122
bottle	0.0617341
"about three-quarters"	0.0616643
expanse	0.0616302
packet	0.0613877
parcel	0.0613021
section	0.0611177
mushroom	0.0610048
salad	0.0607631
Boulder	0.0607593
wad	0.0597303
sauce	0.0596939
bundle	0.0595842
box	0.0595291
potato	0.0594898
proportion	0.0593374
puree	0.0592655
"about two-thirds"	0.0590107
one-quarter	0.0589556
one-fifth	0.058932
"about @@ percent"	0.0588764
stone	0.0587246
lemon	0.0586411
Shell	0.0581616
vegetable	0.0581384
stick	0.0578433
"how much"	0.0575081
soup	0.0573529
egg	0.0573055
coconut	0.0570237
rock	0.0567603
increment	0.0566468
"good part"	0.0565991
paycheck	0.0563478
stack	0.0562745
bite	0.0560576
sandwich	0.0560507
tortilla	0.0559928
fish	0.055886
crumb	0.0557539
bean	0.0557386
bread	0.0557179
ball	0.0557178
chocolate	0.0556791
acre	0.055668
rectangle	0.0555553
object	0.055514
pie	0.0553381
carrot	0.0552236
steak	0.0549903
dish	0.0549875
inch	0.0548177
tract	0.0547996
pecan	0.0547371
"piece of land"	0.0545099
size	0.0544207
surplus	0.0543327
"about @ percent"	0.0542692
cream	0.0540004
one-fourth	0.0539999
flake	0.0539554
Garlic	0.0538137
sack	0.0537305
walnut	0.0536242
thickness	0.0533208
type	0.0530214
"sum of money"	0.0530119
quarter	0.0530002
sheet	0.0529462
cooky	0.0527481
Made	0.0527201
Orange	0.052608
package	0.0524844
variety	0.0523931
rest	0.0522897
billion	0.0522042
Mound	0.0521811
eggplant	0.0521229
sample	0.05205
crust	0.0518876
apple	0.0516734
pot	0.0516621
pumpkin	0.0516296
pepper	0.0515296
dollop	0.0514467
"More than two-thirds"	0.051431
olive	0.0513909
raspberry	0.051385
component	0.0513528
bucket	0.0513349
asset	0.0512314
one-tenth	0.0511259
million	0.05096
kernel	0.0509464
square	0.0507449
raisin	0.050717
banana	0.0506433
batch	0.0506354
shrimp	0.050629
remnant	0.050586
plenty	0.0505239
scraps	0.0503551
item	0.0501494
Pound	0.0500992
fistful	0.050034
Basil	0.0499558
cache	0.0499338
Garbage	0.0498882
"amount of money"	0.0497802
truckload	0.0497445
frame	0.0496932
Cherry	0.0496848
smell	0.049672
Liquid	0.0495994
aroma	0.0495517
remainder	0.0495263
tile	0.0494999
belonging	0.0494275
peanut	0.049319
broth	0.0492186
sorbet	0.0491642
penny	0.0491586
"tomato sauce"	0.0490681
peach	0.0489001
corn	0.0486876
dime	0.0486725
fig	0.0486168
limb	0.0485988
"garlic clove"	0.0485847
dose	0.0485818
tree	0.0484542
blueberry	0.0484374
bonus	0.0484217
deposit	0.0484059
"about $@ billion"	0.0483823
saving	0.0483574
sausage	0.0482805
sugar	0.0482671
almond	0.048231
"peanut butter"	0.0481884
element	0.04817
stuff	0.0481314
glass	0.0480767
))
(church (desc 204034) (sims
Cathedral	0.177537
school	0.166434
synagogue	0.162262
mosque	0.152122
house	0.143978
chapel	0.143542
building	0.141144
congregation	0.13729
hospital	0.134809
temple	0.133087
home	0.132716
museum	0.131936
community	0.131414
Monastery	0.129845
parish	0.127467
hotel	0.125665
Basilica	0.125196
"Catholic Church"	0.125129
restaurant	0.124285
cemetery	0.120698
office	0.119923
palace	0.119231
university	0.118886
organization	0.118757
library	0.118701
"Roman Catholic Church"	0.11722
denomination	0.116173
theater	0.114707
neighborhood	0.114318
park	0.114062
hall	0.112471
apartment	0.112359
village	0.111525
party	0.111269
"Episcopal Church"	0.111242
shop	0.110421
courthouse	0.110218
family	0.109005
store	0.108311
residence	0.107434
College	0.106603
center	0.106089
group	0.10508
"Christian church"	0.104901
city	0.103377
embassy	0.102601
society	0.102435
clinic	0.101126
stadium	0.100774
"community center"	0.100469
shrine	0.100298
Capitol	0.100231
institution	0.0998967
factory	0.0992402
mansion	0.0989903
headquarter	0.0989873
"high school"	0.0989763
town	0.0984809
Catholic	0.0975882
complex	0.0973214
"public school"	0.0967297
"apartment building"	0.096516
"city hall"	0.0956915
government	0.0954493
site	0.0942047
diocese	0.0938294
club	0.0937668
camp	0.0935478
"elementary school"	0.0931745
state	0.0930083
"office building"	0.0927965
seminary	0.092016
christian	0.091926
classroom	0.0917043
"post office"	0.091665
Vatican	0.0915955
country	0.091413
agency	0.0909659
religion	0.0908425
shelter	0.0902456
compound	0.0901516
area	0.089448
prison	0.0893425
union	0.0891759
sanctuary	0.088867
people	0.0888185
bishop	0.0886379
"White House"	0.0885919
"police station"	0.0885897
cafe	0.0885412
studio	0.0882587
campus	0.0880099
airport	0.0876821
square	0.0876737
company	0.0876265
auditorium	0.087442
room	0.0873275
district	0.0873104
mall	0.0871922
garden	0.0869751
"shopping center"	0.0869099
Warehouse	0.0868322
nation	0.0867476
charity	0.0861303
street	0.0860667
orphanage	0.085979
facility	0.0856439
tomb	0.0856027
clergy	0.0854968
pastor	0.0852257
"Republican Party"	0.0850887
business	0.085024
Castle	0.0847458
station	0.0843777
arena	0.0843383
courtroom	0.083617
"school district"	0.0835348
"political party"	0.0832214
bank	0.0823166
"United Nations"	0.0820842
bar	0.0818019
Tower	0.0811647
gym	0.0811382
association	0.0805108
priest	0.0802611
military	0.0799628
Convent	0.0797457
monument	0.0796943
gallery	0.079431
"shopping mall"	0.0791689
court	0.0790513
barn	0.0780857
place	0.0780612
plant	0.0778612
"movie theater"	0.0774989
ministry	0.0774666
chamber	0.0772553
memorial	0.0765724
industry	0.076377
"gas station"	0.076044
"nursing home"	0.0759629
supermarket	0.0758528
barrack	0.0751287
resort	0.0750986
farm	0.0749115
farmhouse	0.0748974
police	0.0747099
"opera house"	0.074683
gymnasium	0.074669
life	0.0746683
nightclub	0.0745678
"grocery store"	0.0744763
corporation	0.0742979
pub	0.0742483
Villa	0.0741898
academy	0.0741641
dormitory	0.0741223
resident	0.0740921
"U.S. Embassy"	0.0739976
region	0.0739629
America	0.0739106
movement	0.0738948
bookstore	0.0737312
"Roman Catholic"	0.073577
car	0.0731921
motel	0.0731492
garage	0.073008
administration	0.0727797
child	0.0726716
"local government"	0.0726043
woman	0.0725997
world	0.0725647
inn	0.0724634
Congress	0.0724466
Archdiocese	0.0723855
"police department"	0.0722583
"medical center"	0.0721734
ballroom	0.0721125
jail	0.0720714
"Democratic Party"	0.0716505
parent	0.0716498
firm	0.0715853
culture	0.0715025
county	0.0713816
"United States"	0.0713686
"trade union"	0.0710612
Jew	0.0709917
institute	0.0709546
department	0.0707396
tribe	0.0706766
plaza	0.0706728
"town hall"	0.0704737
Muslim	0.0704256
Casino	0.070357
faith	0.0703531
doctor	0.0703102
branch	0.0702901
tent	0.0702812
sect	0.0702679
structure	0.0701883
))
("church bell" (desc 2503.38) (sims
"alarm bell"	0.156235
doorbell	0.127784
"cash register"	0.108874
"death knell"	0.108359
cowbell	0.107246
gunshot	0.0981433
Chime	0.0979725
"car horn"	0.087724
"fire alarm"	0.0843908
clapping	0.0834989
bagpiper	0.0802893
"bell tower"	0.074926
ringing	0.0650535
Siren	0.0646841
"pipe organ"	0.0640661
bagpipe	0.0603421
"alarm clock"	0.0580126
"patrol ship"	0.0574902
"Liberty Bell"	0.0572736
intercom	0.0555231
buzzer	0.0548252
cymbal	0.051689
bluefin	0.0509926
smelters	0.050666
INTERFET	0.0495642
"smoke alarm"	0.0485187
"storm cloud"	0.0480604
Gong	0.0479618
"ice crystal"	0.0469969
chairlift	0.0469378
"piece of cloth"	0.0468257
hammering	0.0465687
drumbeat	0.0464837
"musical group"	0.0459038
jackhammer	0.0457571
"sales outlet"	0.0451864
delicatessen	0.0450681
dirge	0.0447963
weeping	0.0446767
barrette	0.0442379
"service break"	0.0442258
"parcel of land"	0.0439896
"stamp collector"	0.0432139
banjo	0.0430351
"break of serve"	0.0429883
gunship	0.0429669
"weather forecaster"	0.0427484
"fiber optic cable"	0.0426214
"street sign"	0.0425857
one-timer	0.042134
steeple	0.0419264
"artillery fire"	0.0418874
pagan	0.0418629
"transport ship"	0.041837
lightbulb	0.0417926
MIAs	0.0411527
ex-convicts	0.0411162
fife	0.0408708
"warm front"	0.0405344
"video screen"	0.0402729
cacophony	0.0400913
))
("church member" (desc 5530.33) (sims
congregants	0.1369
parishioner	0.121021
seminarian	0.119866
churchgoer	0.114674
worshiper	0.10624
worshipper	0.105657
well-wisher	0.105037
mourner	0.104408
"union member"	0.102789
clergy	0.0983862
priest	0.0977565
passersby	0.0951659
"faculty member"	0.093134
townspeople	0.0928516
onlooker	0.0926761
co-worker	0.0910515
passers-by	0.0909428
Cuban-Americans	0.0906462
"family member"	0.090625
reservist	0.0904009
Alumni	0.090125
Navajos	0.0891088
"Southern Democrats"	0.0890595
missionary	0.0888407
marcher	0.088401
Klansmen	0.0881423
"university student"	0.0875277
"North Africans"	0.0872672
"foster parent"	0.0871001
serviceman	0.0870961
major-leaguers	0.0866258
follower	0.0864747
Davidians	0.0849295
congregation	0.0846578
neo-Nazis	0.0838274
rabbi	0.0838106
"council member"	0.0836314
pastor	0.0836086
"North Carolinian"	0.0835037
activist	0.0833312
enlistee	0.0832128
Bostonians	0.0831643
staffer	0.0829874
Georgian	0.0828061
constituent	0.0823863
Atlantans	0.0820557
"elected official"	0.082047
schoolmate	0.0819257
villager	0.0817409
Haitian	0.0817282
"New York Republicans"	0.0816877
schoolchildren	0.0816612
Algerian	0.0807848
Salvadoran	0.080487
"health professional"	0.0802286
protestor	0.0799918
dissident	0.0796789
"army officer"	0.0796029
"committee member"	0.0794969
theologian	0.0794884
"military officer"	0.0793676
protester	0.079332
shipmate	0.0792746
Mississippian	0.0783723
"South Carolinian"	0.0781867
Catholic	0.0779904
"temporary worker"	0.0779859
"club member"	0.0778674
countrymen	0.0778216
"staff member"	0.0777602
Ohioan	0.0776978
partygoer	0.0775422
"business executive"	0.0775286
legislator	0.0773308
"government officials"	0.0772023
"foster child"	0.0769435
parolee	0.0767903
"air force officer"	0.0767007
vacationer	0.0766486
acquaintance	0.0766482
squatter	0.0764192
nun	0.0763825
transient	0.0761408
panelist	0.0758305
picketers	0.0755905
Moslem	0.0754198
Deacon	0.0751982
sympathizer	0.0751833
"school principal"	0.0749858
Liberian	0.0749449
"civic leader"	0.0747972
preservationists	0.0747634
classmate	0.0746621
"Orthodox Jews"	0.0742388
clergymen	0.0737395
"farm worker"	0.0737326
leftist	0.0734297
"enlisted man"	0.0733589
motorcyclists	0.0732297
"Sri Lankans"	0.0732016
conventioneer	0.0729634
"Texas Democrats"	0.0729021
inmate	0.0726171
Namibian	0.0725763
"campaign worker"	0.0723516
concertgoers	0.072284
townsfolk	0.0722179
Chinese-Indonesians	0.0720935
restaurateur	0.0717758
Protestant	0.0717734
environmentalist	0.0715962
VMs	0.0715935
"board member"	0.0714778
"business leader"	0.0712655
"college student"	0.0712045
Cambodian	0.0711386
Lebanese	0.0710205
educator	0.0708623
"religious leader"	0.0707522
illegals	0.0707081
Muscovite	0.0705983
"department employee"	0.070539
MP	0.0704027
Kuwaiti	0.0702887
Arab-Americans	0.0700838
"Southern Baptists"	0.0700358
Londoner	0.069978
guardsmen	0.0699437
foreigner	0.0699325
"Branch Davidians"	0.0696986
"Roman Catholic"	0.0695898
monk	0.0694549
pupil	0.069411
listener	0.0690458
motorist	0.0689263
"political detainee"	0.0688922
vintner	0.0688471
"real estate agent"	0.0688093
teen-ager	0.0687798
settler	0.0687271
servicemen	0.0686958
grandparent	0.0686146
twentysomethings	0.0685464
soliders	0.0684989
demonstrator	0.0684073
"AIDS patient"	0.0683975
coworker	0.0683921
Mexican	0.0682804
Washingtonian	0.0682531
patron	0.0682119
dignitary	0.0681473
Episcopalian	0.0679724
Baptists	0.0679669
"fellow traveler"	0.0677963
Honduran	0.0677511
counselor	0.067671
peasant	0.0676475
centenarian	0.0676036
"senior citizen"	0.067578
aldermen	0.0675512
Jordanian	0.0675189
skydiver	0.0673768
skinhead	0.0671905
troublemaker	0.0670035
"civil rights leader"	0.0669094
attendees	0.0668808
christian	0.0668598
businesspeople	0.0667478
businessmen	0.066699
Iowan	0.0666906
"work unit"	0.0666781
"political prisoner"	0.0666507
Briton	0.0664949
Dominican	0.0663251
adherent	0.0661034
enactors	0.0660327
"state senator"	0.065901
Bosnians	0.0658559
"labor leader"	0.0656501
midshipmen	0.0655981
"military man"	0.0655708
Singaporean	0.0655696
"union worker"	0.0655424
Councilman	0.0655388
donor	0.0654601
old-timer	0.0653039
Southerner	0.0652946
rioter	0.0651452
plotter	0.0651027
Cuban	0.0650576
"insurance agent"	0.0650131
bishop	0.0649626
"intelligence analyst"	0.0649068
firefighters	0.0648637
miner	0.0647501
shopkeeper	0.0647494
cleric	0.064631
"political leader"	0.0645308
camper	0.0644923
"law officer"	0.0644865
))
("Church of England" (desc 2427.7) (sims
"Evangelical Lutheran Church"	0.119615
"Orthodox Church"	0.112901
Archdiocese	0.103333
diocese	0.101347
"Presbyterian Church"	0.0977651
Anglican	0.0967039
"Mormon Church"	0.0907425
"Islamic Movement"	0.0888118
"Episcopal Church"	0.0829288
"Reform Judaism"	0.0812767
"Democratic Unionist Party"	0.0780924
"Serbian Orthodox Church"	0.0762323
"Greek Orthodox Church"	0.0740834
"Roman Catholic"	0.0740551
"United Methodist Church"	0.0736818
"religious order"	0.0731277
"Shas Party"	0.0702314
"New Korea Party"	0.069992
"Catholic Church"	0.0695696
"Liberation Front"	0.0686238
"Meretz Party"	0.0679852
"National League for Democracy"	0.0670841
"National Religious Party"	0.0665271
"Serbian Radical Party"	0.0656499
Hezb-i-Islami	0.0656142
"Muslim Brotherhood"	0.0648679
"Iraqi National Congress"	0.0646672
"Islamic Resistance Movement"	0.064168
"Free World"	0.0641014
"Islamic Jihad"	0.0636335
"Islamic Welfare Party"	0.0623731
"Radical Party"	0.0618425
"Kurdish Workers Party"	0.0618178
"Congressional Black Caucus"	0.06162
"Canadian Alliance"	0.0613443
parish	0.0609634
"Virtue Party"	0.0607238
"New Aspiration Party"	0.0600916
"Board of Supervisors"	0.0597856
"International Ski Federation"	0.059081
MCC	0.0589288
"Serbian Renewal Movement"	0.0588527
SDP	0.0586636
"Kosovo Verification Mission"	0.0585418
"New National Party"	0.05849
denomination	0.0583255
"Roman Catholicism"	0.0582143
"Texas Senate"	0.0578465
"IG Metall"	0.0573817
"United National Party"	0.0571856
"Nahdlatul Ulama"	0.0571658
"Russian Orthodox Church"	0.056977
"Cambodian People's Party"	0.0568259
"Zapatista National Liberation Army"	0.0565028
"European Bank for Reconstruction"	0.0564903
"Zimbabwe African National Union-Patriotic Front"	0.055864
"National Democratic Alliance"	0.0557844
"Polisario Front"	0.0556274
"Democratic Front"	0.0555905
DAP	0.0552799
"New Party"	0.0549804
"National Council of Churches"	0.0548118
"Baath Party"	0.0544638
"National Front"	0.0538761
"Russian Space Agency"	0.0538614
"Orthodox Christians"	0.0531253
"World Church"	0.0529847
"National Liberation Front"	0.0529716
Guanajuato	0.0529585
"Popular Party"	0.0528158
SDMI	0.0526499
"United Democratic Movement"	0.0522726
"Democratic Left"	0.0522469
"St. Andrew"	0.0521937
"U.S. Environmental Protection Agency"	0.0520094
Coptic	0.0518616
NSC	0.0511289
"Democratic Leadership Council"	0.0510531
CDU	0.0508527
"Aryan Nations"	0.0499707
Yabloko	0.0499072
PUC	0.0498183
"Russian Communist Party"	0.0496825
"Congress Party"	0.0495802
"Palestinian Legislative Council"	0.0492647
Rhodesia	0.0492357
"National Gambling Impact Study Commission"	0.0490091
"Church of Jesus Christ of Latter-day Saints"	0.0489604
"patent office"	0.0488782
"Democrat Party"	0.0488049
"United States Congress"	0.0486158
"Ulster Unionist Party"	0.0485657
"Liberal Party"	0.0484869
"Council of Economic Advisers"	0.0483696
Synod	0.0483659
"Kenya African National Union"	0.0481829
"Nuclear Regulatory Commission"	0.0479022
"United Front"	0.0478875
"Civic Democratic Party"	0.0476011
"Kurdistan Workers Party"	0.0475999
"Operation Lifeline Sudan"	0.0475692
"Department of Environmental Protection"	0.0474338
"Ulster Unionists"	0.0471489
"Philadelphia Orchestra"	0.0470398
"United Development Party"	0.0464481
"Center Party"	0.0464286
"European Community"	0.0463625
"World Jewish Congress"	0.046336
"African National Congress"	0.0462652
"American Jewish Committee"	0.0461832
"Texas Air National Guard"	0.0461774
"Conservative Party"	0.0460708
"Aum Shinrikyo"	0.0460505
"Pakistan Muslim League"	0.0460465
"Monetary Policy Committee"	0.0459584
"United National Independence Party"	0.0457633
"District Council"	0.0456861
"National Democratic Party"	0.0456756
UUP	0.0455108
"Rio Group"	0.0454954
"Christian Democratic Party"	0.0454191
Lakas	0.0451762
"Congolese Rally"	0.044792
UNP	0.0446079
"reform movement"	0.0446059
"Palestine Liberation Organization"	0.044585
"Northern Ireland Assembly"	0.0445431
"NFL Players Association"	0.0445057
auxiliary	0.0444762
"South American nation"	0.0444256
HHS	0.0442377
"Public Service Commission"	0.0442239
"interim committee"	0.0440724
"Defense Agency"	0.0440006
Lutheran	0.0439961
"Likud Party"	0.0439155
"Senate Appropriations Committee"	0.0438226
"Democratic Senatorial Campaign Committee"	0.0437222
"Human Rights Commission"	0.0437174
"Inkatha Freedom Party"	0.0436529
"House Banking Committee"	0.0434226
"Bangladesh Bank"	0.0433993
Caguan	0.043307
"Armed Islamic Group"	0.043268
"Roman Catholic Church"	0.0432647
RPR	0.0432234
Amal	0.0431635
"Christian Democratic Union"	0.0431441
"Indonesian Democratic Party"	0.0431204
Fatah	0.0430673
PSC	0.0430273
"Bank of Italy"	0.0429969
PBC	0.0429711
HKFA	0.042916
"Allied Pilots Association"	0.04276
"Colorado Party"	0.0423915
RCD	0.042376
Meretz	0.0422754
"Liberal Democratic Party"	0.0422225
DEP	0.0421995
"Social Democratic Party"	0.0421899
"Sam Rainsy Party"	0.0421881
"monetary fund"	0.0421482
"Russian Security Council"	0.0421457
"International Red Cross"	0.0421441
Otpor	0.0421412
"Salt Lake Organizing Committee"	0.0420898
"Nation Party"	0.04208
"International Association of Machinists"	0.0419946
"Health Care Financing Administration"	0.0419642
"National Alliance"	0.0419444
"Sudan People's Liberation Army"	0.041889
RPP	0.041715
"National Republican Congressional Committee"	0.0416249
"Civil Aviation Authority"	0.0416069
NTRA	0.0415782
"Federal Highway Administration"	0.0414882
"Operation Rescue"	0.0414161
"New Jersey State Police"	0.0413833
"Nationalist Party"	0.0413342
WNBF	0.0412948
"Motion Picture Association of America"	0.0411875
"Democratic Progressive Party"	0.0411112
"Christian Social Union"	0.0410605
PLO	0.040804
"Royal Navy"	0.0406982
"Central Bank of Kenya"	0.0406321
NEA	0.0405932
"search committee"	0.0405895
"Arab League"	0.0405786
"True Path Party"	0.0405751
"popular front"	0.0404873
"Barisan Nasional"	0.0404635
"Bureau of Indian Affairs"	0.0404202
"Quintana Roo"	0.0403352
"Great Hural"	0.0402631
"opposition party"	0.0402468
"United Liberal Democrats"	0.0402443
Greenpeace	0.0402267
Putumayo	0.040198
))
("Church of Jesus Christ of Latter-day Saints" (desc 2233.1) (sims
"Mormon Church"	0.096106
"religious order"	0.095986
"Southern Baptist Convention"	0.0947602
"Islamic Movement"	0.0881826
"Brigham Young University"	0.0812046
"International Association of Machinists"	0.0803681
government-in-exile	0.0798418
"U.S. Immigration and Naturalization Service"	0.0784722
"Operation Rescue"	0.0769013
"Jehovah's Witnesses"	0.0762426
"International Brotherhood"	0.0754866
Mensa	0.0754659
"Log Cabin Republicans"	0.0753502
"United National Independence Party"	0.0738093
"International Society"	0.0719655
"National League for Democracy"	0.0710559
"Indonesian Armed Forces"	0.0705889
"World Church"	0.0700388
"Delta Center"	0.0696045
"Afghan Taliban"	0.0686958
Ertl	0.0686615
"Albanian Kosovo Liberation Army"	0.0685781
"Board of Elections"	0.0679458
"social group"	0.0666323
"International Brotherhood of Electrical Workers"	0.0665733
"Olympic Council of Asia"	0.0662491
"Northern Fleet"	0.0654099
"Baath Party"	0.0647774
"Herri Batasuna"	0.0644619
"Screen Actors Guild"	0.0644416
"Wine Institute"	0.0641692
"Local @@"	0.06391
"Nationalist Party"	0.0636229
"US Congress"	0.0627998
"Allied Pilots Association"	0.0627496
OECD	0.0624366
"Liberation Front"	0.0623118
"Zimbabwe African National Union-Patriotic Front"	0.0623067
"popular front"	0.062219
"Jackson State"	0.0622174
"Aryan Nations"	0.0621233
ABA	0.0614407
"United Malays National Organization"	0.0614329
"Reagan Democrats"	0.0613118
"Atlanta Committee"	0.0612822
"Virtue Party"	0.0611718
"World Jewish Congress"	0.0610893
"United National Party"	0.0605273
"Local @@@@"	0.0603179
"EU Commission"	0.060071
"Andean Group"	0.0597733
"Service Employees International Union"	0.0597446
"Democrat Party"	0.0595478
"U.S. Soccer Federation"	0.0595267
"Colorado Party"	0.0594913
"Kosovo Verification Mission"	0.0594046
"United Nations High Commission for Refugees"	0.059292
"Monsanto Co."	0.0592764
"China Society"	0.0589003
"Muslim Brotherhood"	0.0588616
"Christian Democratic Party"	0.0586372
"Orthodox Church"	0.0586069
"Serbian Renewal Movement"	0.0584673
"Winter Olympic Games"	0.0584216
"paramilitary organization"	0.0582627
"Defense Agency"	0.0579892
"Democratic Unionist Party"	0.0574222
"Greek Orthodox Church"	0.0570134
"House of Commons"	0.0568398
"National Abortion and Reproductive Rights Action League"	0.0564995
"Islamic Salvation Front"	0.0558463
"International Amateur Athletics Federation"	0.0557909
"New Korea Party"	0.0557696
"Board of Supervisors"	0.0554556
"United Church of Christ"	0.0553439
"Palestine Liberation Organization"	0.0553412
"Chinese Olympic Committee"	0.0553044
"Han Dynasty"	0.0550229
"Institutional Revolutionary Party"	0.0549352
"American Football League"	0.0549144
"General Services Administration"	0.054872
"New Aspiration Party"	0.0548142
"District Council"	0.0547733
"State Peace and Development Council"	0.054447
"Islamic Jihad"	0.0541097
"Russian Defense Ministry"	0.0540807
"Communications Workers of America"	0.0540726
"Uganda People's Defense Forces"	0.0538928
UMNO	0.053729
"Canadian Alliance"	0.0536011
"Armed Islamic Group"	0.0535595
"secret society"	0.0535308
"National Education Association"	0.0533513
"South Lebanon Army"	0.0532871
"National Action"	0.0532802
"University of Utah"	0.0532091
"General Committee"	0.0530228
"Audubon Society"	0.0530069
"Texas Senate"	0.0528474
sorority	0.0528278
"Janata Dal"	0.0525207
"National Front"	0.0524531
Scientology	0.0524353
"Bosnian Serb Republic"	0.0524251
"National Liberation Front"	0.0522635
AARP	0.0521941
"Democratic Alliance"	0.0521345
"Christian Democratic Union"	0.0520933
"Rainbow/PUSH Coalition"	0.0519987
"U.N. Interim Force in Lebanon"	0.0519213
"Air Line Pilots Association"	0.0516407
"Enron Corp."	0.0514591
"Socialist Party"	0.0514141
"Sam Rainsy Party"	0.0512201
"International Committee of Red Cross"	0.0510597
"Civic Democratic Party"	0.0508822
"Olympic Winter Games"	0.0508061
"South Pacific Forum"	0.0507431
"Winter Games"	0.0507419
"Likud Party"	0.0507326
nightspot	0.0506944
"British Parliament"	0.050336
Seizinger	0.0502759
"Democratic Leadership Council"	0.0502548
"Group of Seven"	0.0501831
"Zapatista National Liberation Army"	0.0500757
"Bharatiya Janata Party"	0.0499425
Bundestag	0.0498119
Samuelson	0.0496833
ROMNEY	0.0496591
"Indianapolis Motor Speedway"	0.0496471
"Radical Party"	0.0496026
"diplomatic corps"	0.0494652
"professional association"	0.0494146
"Revolutionary Party"	0.0494037
"Islamic Resistance Movement"	0.0492962
"CBS Sports"	0.0490822
"College Board"	0.0490585
"World Bank Group"	0.0490471
"New York Police Department"	0.048982
"Church of England"	0.0489604
"National Sports Council"	0.0489033
"National Election Committee"	0.0488924
"Palestinian Liberation Organization"	0.0488171
"Association of Flight Attendants"	0.0486188
"Palestinian Council"	0.0485812
"Cambodian People's Party"	0.0485709
"Macao Government"	0.0484811
"Meretz Party"	0.0483052
KNU	0.0483026
"Caribbean Community"	0.0482578
"Association of Southeast Asian Nations"	0.0482439
CCF	0.0481975
"Russian Orthodox Church"	0.0480973
"National Weather Service"	0.0480881
PICC	0.0480602
"World Tourism Organization"	0.0480124
"Moro Islamic Liberation Front"	0.0479806
"Conference USA"	0.0479564
"Cuban American National Foundation"	0.0478799
"Rashid Dostum"	0.0478754
"Benevolent Association"	0.0477979
"Iraqi National Congress"	0.0477837
"Episcopal Church"	0.0477417
"Congressional Black Caucus"	0.0476322
"Organization of Petroleum Exporting Countries"	0.0475286
"Indian Air Force"	0.0475174
"Mather Worldwide"	0.0475035
CMAG	0.0474966
"Council of Europe"	0.0473215
"Rwandan Patriotic Front"	0.0472799
Lakas-NUCD	0.047247
"Kurdish Workers"	0.0472296
"trucking company"	0.0472166
"Public Service Commission"	0.0472152
"Reform Judaism"	0.047189
"Federal Council"	0.047067
"United Liberal Democrats"	0.047047
"Inkatha Freedom Party"	0.0469838
"Commonwealth Ministerial Action Group"	0.0469643
"reform movement"	0.0467808
"China National Petroleum Corporation"	0.0466499
"Winter Olympics"	0.0465611
SPS	0.0465576
"International Civil Aviation Organization"	0.0465498
"Universal Postal Union"	0.0465151
Somaliland	0.0464907
"United States Congress"	0.0463875
mujahedeen	0.0462951
"African National Congress"	0.0461979
"English Football Association"	0.0461119
"Human Rights Commission"	0.0461053
"U.N. Environment Program"	0.0460498
AmCham	0.0460312
"Christian Social Union"	0.0459003
"Federal Reserve Bank of New York"	0.0458646
"China Democracy Party"	0.0457974
"Street Crime Unit"	0.0457876
"U.S. Olympic Committee"	0.0457663
"Free Democratic Party"	0.0457226
))
("church service" (desc 5064.65) (sims
"prayer service"	0.165596
"prayer meeting"	0.123726
"religious service"	0.119002
"dinner party"	0.102582
"open house"	0.0959243
"wedding reception"	0.0869473
bullfight	0.0849175
"jam session"	0.0848221
concert	0.0845968
shootaround	0.0821398
vigil	0.0818412
"town meeting"	0.0805815
gathering	0.0794247
teach-in	0.0780903
"World Conference"	0.0780798
"wedding ceremony"	0.0774425
festivity	0.0773074
procession	0.0767882
"committee meeting"	0.076632
"news briefing"	0.07647
"summer camp"	0.0759477
banquet	0.0753965
"art exhibition"	0.074409
"religious ceremony"	0.0744007
weigh-in	0.0736764
luncheon	0.0736199
funeral	0.072779
"garden party"	0.0721056
walk-through	0.0712626
"Earth Summit"	0.0699966
soiree	0.0694206
sermon	0.068805
confab	0.0681975
"group discussion"	0.0671963
churchgoer	0.0670354
"council meeting"	0.0662166
wedding	0.0658057
synagogue	0.0654989
"press briefing"	0.0654215
lecture	0.0647185
get-togethers	0.064521
"benefit concert"	0.0644756
pageant	0.0643128
jamboree	0.0633856
"Christian church"	0.0631141
"polling booth"	0.0630605
"cocktail party"	0.0628831
"World Food Summit"	0.0624051
yeshiva	0.0616466
mini-summit	0.0615841
"panel discussion"	0.0615605
"Ministerial Conference"	0.0615414
"fish fry"	0.0615318
"protest march"	0.0615236
teleconference	0.0609582
gabfest	0.0607869
"baseball game"	0.060766
liturgy	0.0606801
"Fourth World Conference"	0.0606213
homily	0.0606044
"rock concert"	0.0605939
gala	0.0605829
"World Congress"	0.0599512
rehearsal	0.0596741
"preparatory school"	0.0596285
briefing	0.0593345
"International AIDS Conference"	0.0592327
"theatrical performance"	0.058955
symposium	0.05886
"board meeting"	0.0588205
"World AIDS Conference"	0.0587036
chapel	0.057826
"International Congress"	0.057772
"polling place"	0.0577653
cloudiness	0.0576441
"practice session"	0.0572663
"basketball game"	0.0571881
"news show"	0.0570767
"military drill"	0.0570556
"subversive activity"	0.0568551
"tea party"	0.0568385
matinee	0.056747
brunch	0.0563959
picnic	0.0563756
memorial	0.0560902
sit-in	0.0559751
"Sunday school"	0.055924
congregation	0.0554199
fiesta	0.0553396
commemoration	0.055265
"World Economic Forum"	0.0546698
Carnival	0.0546617
"three-day event"	0.0546187
recital	0.0546092
Paralympics	0.0545995
symposia	0.0543012
powwow	0.0539811
interment	0.0537135
polling	0.0532756
"ASEAN Ministerial Meeting"	0.0529697
screening	0.0523007
"musical performance"	0.0522533
audition	0.0522412
"place of worship"	0.0518719
reunion	0.0515281
"hockey game"	0.0513924
rite	0.0513656
AMM	0.0512429
burial	0.0511864
SIESTA	0.0509963
"art school"	0.0509738
Roundtable	0.0507824
"Summer Olympic Games"	0.050731
"Consultative Group"	0.0503742
"equity interest"	0.0502819
Moneyline	0.0500349
"television program"	0.050009
prom	0.0498271
raffle	0.0497196
seminary	0.0496261
mini-camp	0.0494237
fundraiser	0.0493103
"fire drill"	0.0491404
"ball game"	0.0490201
"house party"	0.0486807
"voting booth"	0.0485484
Macworld	0.048472
fundraisers	0.0482238
"South Pacific Forum"	0.0481843
"boat race"	0.0480765
"horse race"	0.0478843
"pep rally"	0.0475255
"Lord's Prayer"	0.0472441
mortuary	0.0472184
"Fortune Global Forum"	0.0471982
"U.N. Millennium Summit"	0.0471047
revelry	0.0469946
newscast	0.0469886
raiser	0.046955
"medical checkup"	0.0468648
"All-Star Game"	0.0466772
"basketball season"	0.0466239
"driving school"	0.0465901
worshipper	0.0464826
Oktoberfest	0.0461816
"Harvard Business School"	0.046077
Seder	0.0458931
"elementary school"	0.0458844
"Asia-Europe Meeting"	0.0458616
"Millennium Summit"	0.0455615
"work camp"	0.0454591
reunions	0.0453953
"Harvard College"	0.045349
"theatrical production"	0.0452689
rainout	0.0451033
"prep school"	0.0447992
"summit meeting"	0.0447521
"Senior Bowl"	0.0446836
"Trade Fair"	0.044457
barbecue	0.0443573
"Andrews Air Force Base"	0.0439559
"wedding party"	0.0439152
plenum	0.0436743
pro-am	0.0434915
evangelicals	0.0434623
supper	0.0432973
Stormont	0.0432109
commencement	0.0432092
"trading session"	0.0431502
potluck	0.0431468
"Phoenix Open"	0.0430978
"World Petroleum Congress"	0.042963
"International Symposium"	0.0429566
scuffle	0.0428655
roadshow	0.0428553
firework	0.0426301
hymn	0.0425706
emporium	0.0424321
inquest	0.042424
"poker game"	0.0420781
"Al-Aqsa Mosque"	0.0420161
crematorium	0.0418594
"boarding school"	0.0417962
"religious school"	0.0416775
layover	0.0416629
"Ministerial Meeting"	0.0416472
"opera house"	0.0416188
scrimmage	0.0416185
"get together"	0.0414906
"Al Aqsa Mosque"	0.0414669
"World Youth Games"	0.0413501
"abortion clinic"	0.0413444
"Fort Dix"	0.0412045
"round table"	0.0411549
putsch	0.0411014
"medical examination"	0.040993
"coffee shop"	0.0409653
"United States Open"	0.0408134
circus	0.0407991
COMDEX	0.0407504
))
(churchgoer (desc 3711.03) (sims
worshipper	0.119251
"church member"	0.114674
worshiper	0.108118
parishioner	0.101956
congregants	0.0967837
Hindu	0.089303
Buddhist	0.0886316
goer	0.0844236
evangelicals	0.0830113
"Orthodox Jews"	0.0823667
Mississippian	0.0822352
Baptists	0.0815618
conventioneer	0.0814679
"Roman Catholic"	0.080654
Mormon	0.079939
concertgoers	0.0789712
enlistee	0.0766676
moviegoer	0.0761772
picketers	0.0756213
"pen pal"	0.0754666
learner	0.0753939
Iowan	0.0747023
"stamp collector"	0.0746307
Catholic	0.0743103
"religious service"	0.0732291
Atlantans	0.0727069
"drug user"	0.0724913
"union member"	0.0719642
"university student"	0.0705031
Moslem	0.0698986
"college student"	0.069872
Beijingers	0.0698653
Athenian	0.069743
transient	0.0695079
reservist	0.0688251
camper	0.0681929
"Southern Democrats"	0.067378
"church service"	0.0670354
Serbians	0.0666899
listener	0.0665477
Dominican	0.0664621
Vermonter	0.0656457
Quebecers	0.0656068
paraplegic	0.0653721
missionary	0.0651921
"department employee"	0.0649072
Presbyterian	0.0648562
mourner	0.0647918
marcher	0.0646753
Methodist	0.0645057
Ecuadoreans	0.064498
townsfolk	0.0643244
Floridian	0.0639087
drinker	0.0635745
schoolmate	0.0635737
devotee	0.0635248
monarchist	0.0633311
"business traveler"	0.0633303
Navajos	0.0632891
well-wisher	0.0632095
Muscovite	0.0631169
Arizonan	0.0629942
Georgian	0.0629918
shopper	0.0629485
achiever	0.0627427
celebs	0.0626335
"Southern Baptist"	0.0626203
onlooker	0.0623383
Caddy	0.0620915
follower	0.0620476
"blood donor"	0.0619426
Cambodian	0.0617956
postgraduate	0.0617543
westerner	0.0614996
steelworker	0.0614852
trespasser	0.061384
Episcopalian	0.0613342
illiterate	0.0612867
HIV-positive	0.0611936
"San Franciscans"	0.0608576
"Kosovo Serbs"	0.0602684
Colombian	0.060214
vacationer	0.0601523
caddie	0.0601379
theatergoer	0.0601218
Orthodox	0.0598431
passersby	0.0598425
"South Carolinian"	0.0598374
patron	0.0596926
"bird watcher"	0.0595043
gamers	0.0594829
villager	0.059444
"South Koreans"	0.0593048
"sports fan"	0.0591122
peasant	0.059061
"altar boy"	0.0590224
Briton	0.0589335
"New Jerseyans"	0.0588719
Missourian	0.0586342
pastor	0.0585686
attendees	0.0585134
suburbanite	0.0583502
layman	0.0582479
Californian	0.0581945
"faculty member"	0.0580174
gambler	0.0579253
TRUANT	0.0578114
Mullah	0.0577353
migrant	0.057672
"North Carolinian"	0.0576666
emigrant	0.0575016
multimillionaires	0.057497
"British people"	0.05745
Protestant	0.0573835
Southerner	0.0572965
"substance abuser"	0.0572178
believer	0.0571674
lactose	0.0571573
Ugandan	0.0571058
"New Englander"	0.0569714
hiker	0.0569396
"polling place"	0.05691
Sikh	0.0568835
"Sri Lankans"	0.0566824
registrant	0.0566762
"day laborer"	0.0566659
adherent	0.0566413
Cuban-Americans	0.0566263
sufferer	0.0566004
"Orthodox Jew"	0.0565979
"black person"	0.0565286
Mozambican	0.0565003
supplicant	0.0564768
evacuee	0.0563362
congregation	0.0563362
"newspaper publisher"	0.0563297
breadwinner	0.0562176
"elected official"	0.056077
"North Africans"	0.0558254
Jordanian	0.0557435
Bostonians	0.0556739
seminarian	0.0555996
surfer	0.0555489
part-timer	0.0554913
renter	0.0554196
reveler	0.0550292
townspeople	0.0548448
laborer	0.0547873
Frenchmen	0.0547319
Virginian	0.0546916
commuter	0.0545765
delinquent	0.0545278
Haitian	0.0544225
celebrant	0.0543973
pilgrim	0.0542763
vaulter	0.0541707
"farm worker"	0.0541674
seeker	0.0541412
cadet	0.05403
"Sierra Leonean"	0.0540238
Deacon	0.0537406
landowner	0.0537281
educator	0.0537213
Zairean	0.053662
passers-by	0.0536495
clergy	0.0536427
panelist	0.05335
motorcyclists	0.0532941
job-seekers	0.0532558
tribesman	0.0532189
farmworkers	0.0531705
angler	0.0531496
"factory worker"	0.052939
Filipino	0.0529167
Alumni	0.0528388
"house guest"	0.0528386
Zimbabwean	0.0527578
Venezuelan	0.0525097
"fellow worker"	0.0524424
herder	0.0523088
"math teacher"	0.052275
bloke	0.052223
Malay	0.0522087
"Jehovah's Witness"	0.0521091
beachgoers	0.0520674
"music lover"	0.0520002
practitioner	0.0519756
"first pitcher"	0.0519653
countrymen	0.0519146
examinees	0.0518748
earthling	0.0518719
"chairman emeritus"	0.051833
"Southern Baptists"	0.0518055
bystander	0.0515992
housewife	0.0515349
smoker	0.0515155
segregationist	0.0514215
"health professional"	0.0514027
"law student"	0.0513974
expatriate	0.051366
))
(Churchill (desc 8399.74) (sims
"Churchill Downs"	0.117515
"Winston Churchill"	0.114844
"Belmont Park"	0.0837663
"Santa Anita"	0.0806789
Eisenhower	0.0794659
"Hollywood Park"	0.0721842
Marx	0.0689838
Fiorina	0.0687079
Jefferson	0.0653332
Roosevelt	0.0640485
"Gulfstream Park"	0.06381
"Harry Truman"	0.0603482
Lincoln	0.0592689
Buthelezi	0.0589712
Truman	0.0589658
Einstein	0.0588211
Pearce	0.0587736
Gandhi	0.0582487
Lindbergh	0.0580316
"Abraham Lincoln"	0.0580106
Sheehy	0.0576487
Brazile	0.0573766
Hitler	0.0568549
"Theodore Roosevelt"	0.0546685
"Woodrow Wilson"	0.0546501
Hamlin	0.0546127
Betts	0.0543569
"Del Mar"	0.0532467
Goldin	0.0528183
Shipley	0.0522026
Lenin	0.0519546
"John F. Kennedy"	0.0516956
Chaudhry	0.051588
Beilin	0.0515873
Abram	0.0515444
Barnett	0.0513572
Adler	0.0510339
Reagan	0.0509778
Kajiyama	0.0508619
Obuchi	0.0508338
Patten	0.0508245
Arbour	0.0505411
Kennedys	0.0504384
Thatcher	0.0503289
"Douglas MacArthur"	0.0502032
Mori	0.0500976
Markovic	0.0497595
Connerly	0.0497027
Sharansky	0.0496071
LaPierre	0.0495808
Lange	0.049544
Ruehe	0.049434
Ciampi	0.0493373
Kerouac	0.0491866
Suarez	0.0490957
Willes	0.0490891
Weil	0.0489921
Goethe	0.0489893
Sakakibara	0.0488652
Menchu	0.0488365
Zuma	0.0488246
Mussolini	0.048774
Kurtz	0.0487076
MIYAZAWA	0.0484907
Hunsicker	0.0483978
Masire	0.0480943
Greenwald	0.0476665
Gerstner	0.0476078
Gulfstream	0.0475256
Salinger	0.0474796
Blair	0.0474406
Marulanda	0.0473866
Stalin	0.0473822
Hemingway	0.0473221
JFK	0.0470003
Nicholson	0.0469455
Rudenstine	0.046782
Hoffman	0.0465199
Sorensen	0.0464392
Blackman	0.0463946
Saratoga	0.0463688
Ganga	0.04612
Sergeyev	0.0461169
Dukakis	0.0461156
Blackmun	0.0460153
Slatkin	0.0459102
Ding	0.0458021
"Civic Arena"	0.0456544
Batouty	0.0455729
Donohue	0.0455691
Lurie	0.0455515
Sacagawea	0.0455203
"Thomas Jefferson"	0.0455121
Zenga	0.0454499
Woodard	0.0453695
Keeneland	0.0453026
franklin	0.0453009
Mandela	0.0451542
Edison	0.0451064
Conrad	0.0451054
Winfrey	0.0450797
D'Alema	0.0449998
Schiff	0.0449726
Baum	0.0449121
Tilberis	0.0448909
Ashrawi	0.0448279
Rivlin	0.0448117
Meyers	0.0447336
Ecevit	0.0445643
Chuan	0.0445392
Freud	0.0444675
Denktash	0.0444488
Chavalit	0.0442724
Napoleon	0.0440363
Krugman	0.0440012
Hadley	0.0438571
Nasrallah	0.0438512
Daley	0.0438443
"John Paul"	0.0438418
Assad	0.0437947
Drexler	0.0437926
"Ronald Reagan"	0.0437043
Murayama	0.0436518
Levitt	0.0436166
McPherson	0.0434506
Bloch	0.0434297
Menem	0.0432858
Maynard	0.043152
Vajpayee	0.0431408
Fitzgerald	0.0431053
Farber	0.043066
Lukashenko	0.0430432
Pearson	0.0429889
Simitis	0.0428965
Schuessel	0.0428174
Arens	0.0428143
Pimlico	0.042741
"Oscar Wilde"	0.0425365
McCourt	0.042502
Herrera	0.0424945
"George Bernard Shaw"	0.0424655
Powell	0.0424607
Molinari	0.0424605
Rosen	0.0424329
Gates	0.0423413
Bildt	0.0422724
"Mo Mowlam"	0.0422346
Theodore	0.0421571
McGuinness	0.0421503
Vasile	0.0421364
Wilde	0.0419878
O'Connor	0.0419846
Nietzsche	0.0419615
Thomson	0.0419505
Colangelo	0.0419401
Kagame	0.0418031
"Dalai Lama"	0.0417794
Hecht	0.041753
"Christopher Columbus"	0.0417139
Stevenson	0.0416139
Samaranch	0.0415693
Bhutto	0.0413995
Garber	0.0413142
"Martin Luther King Jr."	0.0411626
McKenzie	0.0411114
Sarid	0.0410892
Atwood	0.0410286
Griffiths	0.0409929
Seifert	0.0409924
Albrecht	0.0409556
Putin	0.0409327
Kaplan	0.0409192
Kennelly	0.0408881
Flores	0.0408159
Flanagan	0.0407374
Proust	0.0406683
Mordechai	0.0406644
Ahern	0.0406559
"William Shakespeare"	0.0405449
Shelton	0.0404985
Musharraf	0.04041
Trudeau	0.0403071
Pappas	0.0402215
Nzo	0.0401961
"Franklin D. Roosevelt"	0.0401864
Belmont	0.0401199
Lerner	0.0400412
Sharon	0.0400119
))
("Churchill Downs" (desc 13253.6) (sims
"Gulfstream Park"	0.231433
"Santa Anita"	0.229101
"Belmont Park"	0.218999
"Hollywood Park"	0.185412
Keeneland	0.156937
"Del Mar"	0.151791
Pimlico	0.147908
Aqueduct	0.145716
Gulfstream	0.131641
Churchill	0.117515
Belmont	0.117192
Saratoga	0.11717
Pir	0.0964113
"Daytona International Speedway"	0.0938042
"Atlanta Motor Speedway"	0.0913791
"California Speedway"	0.0900683
"Indianapolis Motor Speedway"	0.089466
"Fair Grounds"	0.0894055
NHIS	0.0843223
speedway	0.0836063
"Lone Star Park"	0.0828544
Irwindale	0.0819719
"Turner Field"	0.0814713
"Texas Motor Speedway"	0.08143
Indy	0.0793369
"Dodger Stadium"	0.0789599
"Lone Star"	0.0788085
Suzuka	0.077536
Dodgertown	0.0771009
Daytona	0.0761985
"Park City"	0.0756763
Pocono	0.0741286
"Veterans Stadium"	0.072988
"Charlotte Motor Speedway"	0.0724933
"Foxboro Stadium"	0.0715474
Rockingham	0.0709819
"Suffolk Downs"	0.0700165
"New Hampshire International Speedway"	0.0696044
Martinsville	0.0694382
"Yankee Stadium"	0.0688251
"Michigan Speedway"	0.0687202
TM	0.0686131
"Kentucky Derby"	0.0684803
"Qualcomm Stadium"	0.0680404
Suffolk	0.0672376
Derby	0.0669295
"Devil Stadium"	0.0662926
Calder	0.0654612
"Villa Park"	0.0653627
"Old Trafford"	0.0649767
Meadowlands	0.063669
Astrodome	0.0636365
"Rose Bowl"	0.0635921
"Motor Speedway"	0.0635756
"Camden Yards"	0.0630859
"Monmouth Park"	0.0630275
"Giants Stadium"	0.0622424
Talladega	0.0621185
"Madison Square Garden"	0.0619529
"Sears Point"	0.0619363
"Hearst Corp."	0.061142
"Edison Field"	0.0610708
"Fenway Park"	0.0606338
"Coors Field"	0.060419
"County Stadium"	0.0603718
one-mile	0.0602474
"Stade Velodrome"	0.0599323
"Cinergy Field"	0.0598055
Brickyard	0.05976
Preakness	0.0593759
"Oak Tree"	0.0591918
Indianapolis	0.0591304
Louisville	0.0588998
"America West Arena"	0.0587576
"Las Vegas"	0.0584956
"United Center"	0.0584312
"Pikes Peak"	0.0581136
"New York Times Co."	0.0576726
Silverstone	0.0575887
"Busch Stadium"	0.0575669
"Dorothy Chandler Pavilion"	0.0575636
"Oaklawn Park"	0.0573981
Imola	0.0569181
"Ben-Gurion Airport"	0.0567716
Highbury	0.056305
"Roland Garros"	0.0563034
"Compaq Center"	0.0559225
"MGM Grand"	0.0558203
"Pebble Beach"	0.055795
Dover	0.0554044
"Valley Ranch"	0.0552837
Vail	0.0552718
SkyDome	0.0548963
"Brooklyn Academy of Music"	0.0547909
"Delta Center"	0.0547803
"Shea Stadium"	0.0546767
FleetCenter	0.0545581
"Wrigley Field"	0.0542735
"Olympic Stadium"	0.0532991
"RCA Dome"	0.0532923
Monza	0.0530466
racetrack	0.0527962
Bristol	0.052558
"Market Square Arena"	0.0525063
"Lambeau Field"	0.0524446
"Pacific Bell Park"	0.0523988
Coliseum	0.0522625
Superdome	0.0521425
"World Team Cup"	0.0516574
Fenway	0.0511733
"Kyle Field"	0.0508952
Tucson	0.0507278
Darlington	0.0506887
"Staples Center"	0.0506583
Monmouth	0.0504552
"Augusta National"	0.050436
Charlotte	0.0501611
McKesson	0.0499169
"Constitutional Assembly"	0.0496568
"city hall"	0.049654
"New Orleans"	0.0493445
Ballpark	0.0493324
"Georgia Dome"	0.0492796
AMR	0.0491513
"Watkins Glen"	0.0491069
Belfry	0.0490807
Carnoustie	0.0489389
"Le Mans"	0.0484054
"Downing Street"	0.0483118
"Tiger Stadium"	0.0482721
Pinehurst	0.0480628
Memphis	0.0480179
"Shrine Auditorium"	0.0478535
"East Asian Games"	0.0476861
"Joyce Theater"	0.0473445
Augusta	0.0472946
Nagano	0.0472851
"Hearst Corporation"	0.0472514
Valhalla	0.0472401
"Jacobs Field"	0.0471233
Bormio	0.0470651
KPU	0.0465401
Tripoli	0.0464555
Anita	0.0462377
"sports arena"	0.0459314
DUBAI	0.0458975
"St. Andrews"	0.0457649
Kentucky	0.045713
"Texas Stadium"	0.0456623
Shea	0.0455287
"National Grid"	0.04549
Unicom	0.0452764
Richmond	0.0452712
"jockey club"	0.0452231
"New Hampshire"	0.0451958
"Tribune Co."	0.045158
Medinah	0.0449107
"Cotton Bowl"	0.0448638
Loudon	0.0448571
Auckland	0.0447351
Concord	0.0446775
Viacom	0.0446532
"Con Ed"	0.0446198
SEOUL	0.0445981
"Cox Communications"	0.044518
"San Diego"	0.044468
Dragonair	0.0444029
"Safeco Field"	0.0443505
"Nagano Winter Olympics"	0.0441787
"Pro Player Stadium"	0.0440847
"Las Vegas Motor Speedway"	0.0440635
Perth	0.0439589
"Rivers Stadium"	0.0438586
"Long Beach"	0.0437265
"Reunion Arena"	0.043709
MELBOURNE	0.0435381
"Frank Stronach"	0.0434092
Baltimore	0.0433552
"American International Group"	0.0433262
"Ford Motor Co."	0.0432859
"Enron Corp."	0.0432165
Lausanne	0.0431771
"Atlantic City"	0.0431143
Starwood	0.0431088
"Buckingham Palace"	0.0430869
"Continental Airlines Arena"	0.0430821
fairground	0.0430148
Sunbeam	0.0429407
Kingdome	0.0429028
"Little League World Series"	0.042819
Geneva	0.042754
USC	0.0427149
"Knight Ridder"	0.0426895
Tampa	0.0426377
Havana	0.0426066
met	0.0424908
"Salt Lake City"	0.0424624
SFX	0.0423776
"HBO &AMP; Co."	0.0423727
"Cannes Film Festival"	0.0421853
))
(chute (desc 6418.99) (sims
Dumpster	0.0765509
ramp	0.0720872
Dumpsters	0.0719979
ravine	0.0658459
parachute	0.065596
pontoon	0.0650908
Spillway	0.062117
Stairway	0.0593416
receptacle	0.0563197
bulkhead	0.0559401
"mountain pass"	0.0553163
staircase	0.054651
manhole	0.0533882
"window frame"	0.0525372
stair	0.0507111
berm	0.0503733
"escape hatch"	0.0496698
Bin	0.0487745
hauler	0.0486608
footpath	0.0482248
shutter	0.0481337
"landing gear"	0.0480337
duct	0.0479707
"ventilation system"	0.0478794
tube	0.0478225
gully	0.0473852
alleyway	0.0472049
"starting gate"	0.0468497
roadway	0.0464749
tray	0.0463886
ramekins	0.0462517
shaft	0.0454016
chimney	0.0451453
"Washington Monument"	0.0451344
driveway	0.0443155
crusher	0.0441443
cage	0.044016
ledge	0.0439416
Bosporus	0.0437191
passageway	0.0436143
slit	0.0432226
embankment	0.0431836
cliff	0.0431294
reverser	0.0431149
scraper	0.0431049
sarcophagus	0.0429969
latch	0.0428298
ladder	0.0427319
"fire hydrant"	0.0426608
spigot	0.0423961
reversers	0.0421997
"car door"	0.0419766
strainer	0.0414644
oval	0.0412365
Cleaver	0.0412239
cave	0.0407779
stairwell	0.0407103
incinerator	0.0403877
"emergency exit"	0.0402922
stylus	0.0402869
divider	0.0401135
straightaway	0.0400575
))
(chutney (desc 6484.75) (sims
mayonnaise	0.219994
relish	0.215111
"barbecue sauce"	0.200174
salsa	0.193956
"sour cream"	0.193037
jelly	0.189386
mustard	0.187931
sauce	0.172272
pickle	0.170123
compote	0.163882
ketchup	0.161161
preserves	0.153367
onion	0.151529
"green onion"	0.151135
"lime juice"	0.148161
"peanut butter"	0.147181
cilantro	0.14438
puree	0.143498
"pine nut"	0.142913
vinegar	0.142806
vinaigrette	0.142509
pesto	0.141566
"lemon juice"	0.141103
pecan	0.140117
"chili sauce"	0.139691
"bell pepper"	0.13809
yogurt	0.137351
"cream cheese"	0.135709
"soy sauce"	0.135587
"orange marmalade"	0.13555
"hot sauce"	0.1354
"curry powder"	0.133617
"coconut milk"	0.132758
"brown sugar"	0.132125
broth	0.131525
horseradish	0.129864
honey	0.128293
cheese	0.127837
shallot	0.127673
guacamole	0.127199
"Worcestershire sauce"	0.127189
soup	0.126301
olive	0.124895
butter	0.124709
"tomato sauce"	0.124439
Basil	0.123843
Garlic	0.123831
"whipping cream"	0.122153
sorbet	0.121999
jalapeno	0.121891
celery	0.121874
parsley	0.121813
Chili	0.121466
"hoisin sauce"	0.121194
syrup	0.119193
buttermilk	0.119017
"salad dressing"	0.118477
"goat cheese"	0.118173
dressing	0.117888
"red pepper"	0.11778
raisin	0.117416
slaw	0.114003
currant	0.113973
salad	0.113099
"wine vinegar"	0.112321
pepper	0.111837
"white wine"	0.111835
"black olive"	0.111771
dill	0.111697
condiment	0.111635
marinade	0.111507
fraiche	0.110651
"cottage cheese"	0.110016
cabbage	0.109873
walnut	0.109372
paprika	0.108947
tahini	0.10881
juice	0.108751
chilies	0.108398
ginger	0.108376
thyme	0.107231
scallion	0.107193
"chili powder"	0.10683
tomato	0.106335
liqueur	0.10633
marmalade	0.106303
"dried fruit"	0.106005
chiles	0.104573
"red onion"	0.104217
chive	0.104122
tarragon	0.103639
cream	0.103429
hazelnut	0.103296
"pumpkin seed"	0.102966
"chicken broth"	0.102611
"orange juice"	0.101881
frosting	0.101315
COBBLER	0.100668
"sesame seed"	0.100496
"tomato juice"	0.100031
bread	0.099815
"snow pea"	0.0998085
chard	0.0997314
"olive oil"	0.099258
mango	0.0990013
spinach	0.098713
cucumber	0.0986682
cider	0.0983962
sherry	0.0980143
avocado	0.0979677
sauerkraut	0.0978364
curd	0.0973076
cumin	0.0965035
"Caesar salad"	0.0959072
"sesame oil"	0.0954748
apricot	0.0944581
lettuce	0.0944132
sausage	0.0939977
"lemon zest"	0.0932092
Parmesan	0.0930682
"black bean"	0.0927434
ricotta	0.0927425
paste	0.0926232
Topping	0.0923859
nectar	0.0922975
"ice cream"	0.0917723
TART	0.0916663
glaze	0.0913497
smoothie	0.0911898
almond	0.0910945
"green pepper"	0.0909844
caper	0.0908275
marjoram	0.0905903
"potato salad"	0.0905743
"beef broth"	0.0904602
leek	0.0901872
"tomato paste"	0.0901676
"cider vinegar"	0.089731
"heavy cream"	0.0895955
"whipped cream"	0.0893371
pistachio	0.089315
margarine	0.0890748
tapenade	0.089066
shortening	0.0890134
pie	0.0886717
potato	0.0883726
carrot	0.0882616
mint	0.0876334
Pudding	0.087582
"blue cheese"	0.0870549
kebab	0.0867874
lime	0.0867126
"cumin seed"	0.0864331
molasses	0.0864293
"tortilla chip"	0.0862722
stew	0.0860562
mushroom	0.0858585
sherbet	0.0858436
salt	0.0854177
confit	0.0853434
"baked goods"	0.0851844
breadcrumb	0.0848926
"evaporated milk"	0.0848771
chervil	0.084747
"pepper sauce"	0.0844486
"corn syrup"	0.084443
"hot pepper"	0.0842055
coconut	0.0840514
"peanut oil"	0.0839962
gravy	0.0839659
"maple syrup"	0.0835482
chicken	0.0830484
"bean sprout"	0.082681
pasta	0.0826756
eggplant	0.0826163
peppercorn	0.0826151
"coriander seed"	0.0824918
mascarpone	0.0822243
"beef stock"	0.0820914
"black pepper"	0.082035
"vegetable oil"	0.0820252
oregano	0.0819861
raspberry	0.081889
"green olive"	0.0818752
brandy	0.0815187
mixture	0.0814449
chocolate	0.0814004
"macadamia nut"	0.0813593
shortcake	0.0813557
risotto	0.0811191
shrimp	0.0809543
seasoning	0.0808409
cracker	0.0806835
"white rice"	0.0806035
meatball	0.0798911
cornbread	0.0797718
cake	0.0794151
zucchini	0.0788995
"chocolate mousse"	0.0782606
applesauce	0.0775577
))
(chutzpah (desc 3974.53) (sims
willpower	0.0986674
audacity	0.0980528
tenacity	0.0940907
spunk	0.0928709
hubris	0.091526
"sex appeal"	0.0879234
fortitude	0.085805
courage	0.082642
gall	0.0823936
happenstance	0.0819372
perseverance	0.0803637
stamina	0.0801474
pizazz	0.0799831
gut	0.0774156
irresponsibility	0.0773394
gumption	0.0771241
outrageousness	0.0730009
goofiness	0.0726365
Creativity	0.0713027
toughness	0.0711186
guts	0.0710856
compassion	0.0706516
lunacy	0.0697292
Luck	0.0689979
foresight	0.0688714
serendipity	0.0686778
"elbow room"	0.0686361
charisma	0.0680749
athleticism	0.0680673
acumen	0.0680572
gamesmanship	0.0675568
savvy	0.0666547
arrogance	0.0664162
brinksmanship	0.0662924
altruism	0.0660282
stupidity	0.0658341
"wishful thinking"	0.0655518
bravado	0.0652527
overkill	0.0650777
adrenaline	0.0643837
exhilaration	0.0643031
sportsmanship	0.0640274
oomph	0.063368
hypocrisy	0.062814
brawn	0.0626181
ego	0.0623535
finesse	0.0621577
firepower	0.0605549
patriotism	0.0602609
brinkmanship	0.0601779
pandemonium	0.0600122
intuition	0.059981
boldness	0.0596091
likability	0.0590983
generosity	0.0589762
grit	0.0589521
artistry	0.058683
silliness	0.0586617
entrepreneurship	0.0584866
bravery	0.057949
intellect	0.0578721
"sleight of hand"	0.0577545
resilience	0.057632
blather	0.0574052
self-confidence	0.0573823
versatility	0.0572927
intangible	0.0571613
foolishness	0.0570331
curiosity	0.0569789
professionalism	0.0569142
cowardice	0.0568647
disrespect	0.0568252
ingenuity	0.0567643
statesmanship	0.0566187
"bad luck"	0.0565609
craziness	0.0564974
selflessness	0.0563683
synergy	0.0563538
baloney	0.0561791
"hard work"	0.0561532
"good looks"	0.0561237
"common sense"	0.0559834
flair	0.0558831
humility	0.0558378
improvisation	0.0557182
unselfishness	0.0556159
"breathing room"	0.0556046
showmanship	0.0552444
fearlessness	0.0549721
patience	0.0547905
dedication	0.0547378
"natural ability"	0.0545045
heft	0.0540348
persistence	0.0540048
moxie	0.0538163
largess	0.0532974
insanity	0.0531998
derring-do	0.0527779
originality	0.052748
durability	0.0526667
quickness	0.0526482
adaptability	0.0525783
"spare time"	0.0524094
honesty	0.0522586
eloquence	0.0521892
gravitas	0.0517647
blasphemy	0.0517384
gallantry	0.0517224
volunteerism	0.0515805
finger-pointing	0.0515661
barbarity	0.0513911
"power politics"	0.0513043
stubbornness	0.0512654
salesmanship	0.0511006
folly	0.0510287
heroism	0.0509608
gook	0.0508796
clout	0.0508207
cleverness	0.0505613
"character assassination"	0.0505001
desperation	0.0504794
philanthropy	0.0504416
competence	0.0504086
"sense of humor"	0.0503147
meanness	0.0502957
endurance	0.0502434
sass	0.0501947
provincialism	0.050162
idiocy	0.0501281
weirdness	0.0500854
diligence	0.0499479
"raw talent"	0.0498884
cockiness	0.0497293
greed	0.049458
laziness	0.0493943
trickery	0.0493591
spontaneity	0.0492988
"good sense"	0.0491853
adage	0.0491419
copout	0.0486545
hand-holding	0.0485929
teamwork	0.048576
self-awareness	0.0485335
incompetence	0.0485075
"good story"	0.0484657
drudgery	0.0484422
iconoclasm	0.0483268
giddiness	0.0481848
bloodline	0.0480348
radiance	0.0477319
velocity	0.0476387
Leeway	0.047557
heresy	0.0474654
composure	0.0474434
horsepower	0.047136
explosiveness	0.0468958
nuttiness	0.0468233
decency	0.0467884
graciousness	0.0467306
contrition	0.0467111
coincidence	0.0465733
pyrotechnics	0.0465086
hyperbole	0.0465083
self-discipline	0.0465057
nonsense	0.0464036
"number crunching"	0.0463036
astonishment	0.0462515
candor	0.0462044
empathy	0.0460034
brilliance	0.0459706
agility	0.0459619
"peace of mind"	0.0455156
vanity	0.0454015
edginess	0.0453921
"off-speed pitch"	0.0453247
razzle-dazzle	0.0452298
swordplay	0.0450425
hindsight	0.0449976
pragmatism	0.0443942
"good fortune"	0.0443705
decisiveness	0.0442813
"double standard"	0.0442211
opportunism	0.0441005
"free time"	0.0440915
verve	0.0439859
nastiness	0.043937
"nitrous oxide"	0.0439337
"sense of duty"	0.043894
plagiarism	0.0438394
unreality	0.0436358
suspense	0.043614
prowess	0.0435096
"one line"	0.0434767
erudition	0.0432978
kindness	0.0432332
horseplay	0.0431647
voyeurism	0.0431261
intranets	0.0431035
flamboyance	0.0430733
wickedness	0.0430585
))
(Ci (desc 10097.5) (sims
"Commonwealth of Independent States"	0.271848
GCC	0.127618
"Group of Rio"	0.123049
eco	0.118419
COMESA	0.117733
SADC	0.117652
Mercosur	0.114219
EAC	0.111564
"Southern African Development Community"	0.109417
ASEAN	0.10901
ECOWAS	0.108996
SAARC	0.108204
"Rio Group"	0.106611
"Central Asian"	0.104317
"Andean Community"	0.103486
OIC	0.100339
G-@@	0.099423
"Warsaw Pact"	0.0987865
"Caribbean Community"	0.0983821
WEU	0.0945497
"Group of @@"	0.0939906
"Council of Europe"	0.0932707
ESCAP	0.0932556
APEC	0.0921671
"Gulf Cooperation Council"	0.091908
"Arab League"	0.0918607
IGAD	0.0903187
"Non-Aligned Movement"	0.0891223
EU	0.0863734
CPLP	0.0858572
"Association of Southeast Asian Nations"	0.0851232
OSCE	0.0844291
commonwealth	0.0842048
OECD	0.0830131
"South Asian Association for Regional Cooperation"	0.0828654
ACP	0.0825599
"Central Asia"	0.0821818
ASEM	0.0820946
Baltic	0.081218
"Southern Common Market"	0.0802552
"Common Market for Eastern and Southern Africa"	0.0802434
E.U	0.0796126
"Western European Union"	0.0796019
"Latin American"	0.079552
"North Atlantic Treaty Organization"	0.0787453
UPU	0.0785819
G-@	0.0782733
ECA	0.0779611
"Composite Index"	0.0763508
"European Union"	0.0762867
"Andean Group"	0.0753202
G@@	0.0752961
"Damascus Declaration"	0.0752024
"Pacific Rim"	0.0751075
OAU	0.0750632
"Organization for Economic Cooperation and Development"	0.0744336
Asia-Pacific	0.0743243
NAM	0.0741826
sub-region	0.0735862
bloc	0.0728638
"South American Common Market"	0.0725273
"South Pacific Forum"	0.0724678
sub-regional	0.0718114
Caucasus	0.0713058
pan-Arab	0.0709539
"East African Cooperation"	0.0707496
"Economic Community"	0.0701758
UUP	0.0695716
"Group of Eight"	0.0691661
"Latin America"	0.069095
OAS	0.0677456
Asia-Europe	0.0667151
"Organization of Petroleum Exporting Countries"	0.0665924
"Southeast Asia"	0.0659556
"Southern Africa Development Community"	0.0659361
"Asia Pacific Economic Cooperation"	0.0657776
Tajikistan	0.0653887
"South Asian"	0.0652427
"East Asia"	0.06499
"Russian Federation"	0.0649448
"Asia-Pacific Economic Cooperation"	0.064933
ARF	0.0648845
"Eastern Europe"	0.0648174
"European Community"	0.0647932
"Straits Times Index"	0.0647477
UN	0.0645588
"Asian country"	0.0645504
"Nikkei Stock Average"	0.0643074
grouping	0.0638279
"Economic Community of West African States"	0.0633795
OPEC	0.0630277
"West African"	0.0628402
IPU	0.0617529
"Middle East"	0.0615709
D-@	0.0615088
"Economic Cooperation Organization"	0.0613348
"Group of Seven"	0.0606803
Arab	0.0603586
U.N.	0.0602178
"Straits Times Industrials Index"	0.060112
"Far East"	0.0600584
"Asian nation"	0.059915
ROK	0.0598117
"Western Europe"	0.0596576
"Organization of African Unity"	0.0596324
"member country"	0.0595614
"West Asia"	0.0595388
Nikkei	0.0590594
UNIDO	0.0590157
"Contact Group"	0.0589995
"Southern Africa"	0.0589348
"East European"	0.0587712
Belarus	0.0586393
"East African"	0.0582777
"Caspian Sea"	0.0582571
"U. N."	0.0582245
Oceania	0.0582184
"Balkan country"	0.0582115
Sino-Russian	0.0580155
"Hang Seng Index"	0.0579229
"PLO Executive Committee"	0.0575328
"South American country"	0.0575322
PECC	0.0570953
"Congressional Black Caucus"	0.0561269
"Third World"	0.0561165
Yabloko	0.0560946
"South Asia"	0.0560635
"Organization of Islamic Conference"	0.0560177
"Central American"	0.0559553
"South America"	0.0556732
"United Nations Security Council"	0.0553419
CPV	0.0552863
"South American"	0.0551866
DSE	0.0549302
"Soviet Union"	0.0547196
Turkmenistan	0.054706
"Islamic Conference"	0.0546998
Balkan	0.0545978
"Asia Pacific"	0.0545637
WIPO	0.0544411
"West Africa"	0.0542958
FAO	0.0542691
"African country"	0.0542347
UNIP	0.0539729
"international organization"	0.0532905
KEDO	0.0531367
"Inter-Governmental Authority on Development"	0.0530616
Moldova	0.0525337
"U.N. Security Council"	0.0523813
"Xetra Dax"	0.0522126
"Central America"	0.0521896
"Western European"	0.0521825
"Eastern European"	0.0521344
ILO	0.0521098
NDA	0.0520125
"Organization of American States"	0.0515832
"European country"	0.0515241
Sensex	0.0513228
IEA	0.0511418
"North Africa"	0.0511023
"Great Lakes Region"	0.0509865
"member nation"	0.0509607
Niger	0.0508096
U.S	0.0505675
Abkhazia	0.050396
PNP	0.0503891
Uzbekistan	0.0502811
MNLF	0.050215
"armed service"	0.0502054
DAX	0.0499564
Daghestan	0.0498261
STI	0.0497153
"Russian Communist Party"	0.0495547
"other eight"	0.049478
AmCham	0.0492224
Ukraine	0.0491716
NSC	0.0491518
PCF	0.0490635
"African nation"	0.0489819
"European nation"	0.0489411
"South African National Defense Force"	0.0488516
Somaliland	0.0487575
Azerbaijan	0.0486697
Palestine	0.0486085
RUC	0.0483941
UNEP	0.048243
"Republic of Korea"	0.0482009
"UN Security Council"	0.0481217
"market average"	0.0479241
"world economy"	0.0477075
"Communist Party"	0.0476972
G@	0.047594
Yemen	0.0475834
"other seven"	0.0475741
federation	0.0475632
"European Council"	0.047515
Interpol	0.0474473
"European Parliament"	0.0474443
Caribbean	0.0473519
Kirghizstan	0.0473245
))
(CIA (desc 33826.8) (sims
"Central Intelligence Agency"	0.294868
FBI	0.195951
"State Department"	0.164209
"Defense Department"	0.162972
"Energy Department"	0.160446
"Justice Department"	0.154928
Pentagon	0.152718
"secret service"	0.148604
"Drug Enforcement Administration"	0.1461
DEA	0.143637
agency	0.141724
KGB	0.14127
"Federal Bureau of Investigation"	0.135909
"Department of Defense"	0.129339
EPA	0.1255
"Department of Justice"	0.122104
NASA	0.120098
ATF	0.119131
"Immigration and Naturalization Service"	0.119115
FAA	0.115194
MI@	0.11506
"Treasury Department"	0.114524
"National Transportation Safety Board"	0.114358
Mossad	0.112457
INS	0.111774
"customs service"	0.111312
Interpol	0.111159
IRS	0.11001
FDA	0.108908
"police department"	0.108842
"General Accounting Office"	0.108027
FEMA	0.107873
department	0.105857
"National Security Agency"	0.105544
"Environmental Protection Agency"	0.105537
"Federal Aviation Administration"	0.104873
bureau	0.104837
"Census Bureau"	0.104317
UNICEF	0.104215
military	0.104041
"Internal Revenue Service"	0.103487
"Federal Emergency Management Agency"	0.103248
CDC	0.102933
"National Security Council"	0.102929
"Department of Health and Human Services"	0.102289
"border patrol"	0.102086
HUD	0.101434
"Coast guard"	0.0997592
"National Science Foundation"	0.0989936
"secret police"	0.0989493
"Forest Service"	0.0986751
"Department of Energy"	0.0984894
ministry	0.0979348
NTSB	0.0974039
"federal government"	0.0963671
"Commerce Department"	0.0963462
navy	0.0961414
"Federal Trade Commission"	0.0957417
FTC	0.0955678
police	0.0948997
"U.S. State Department"	0.0946856
"White House"	0.0942389
"Health Department"	0.0932798
"Shin Bet"	0.0931737
UNHCR	0.0926368
army	0.0925331
"U.S. Customs Service"	0.0918486
"World Bank"	0.0914922
"Department of Transportation"	0.0911473
"Air Force"	0.0907703
"Interior Ministry"	0.0902314
IMF	0.0899434
USDA	0.0898342
"Scotland Yard"	0.0897314
"Red Cross"	0.0896096
"Office of Management and Budget"	0.0894991
USOC	0.0890528
NSA	0.088842
LAPD	0.0882613
IAEA	0.0874198
government	0.0873353
GSS	0.0873333
"inspector general"	0.0872774
Starr	0.0870282
"Department of Education"	0.0867402
intelligence	0.0866444
commission	0.086297
"Transportation Department"	0.0853374
Vatican	0.0851794
UNSCOM	0.0851082
va	0.0846709
administration	0.0846442
U.N.	0.0845008
"National Park Service"	0.0844966
institute	0.0843872
"Food and Drug Administration"	0.0843759
IOC	0.084165
"Federal Security Service"	0.0839595
NIH	0.0832631
"Department of Agriculture"	0.0828813
"United Nations"	0.0828027
WFP	0.0827678
"Social Security Administration"	0.0826552
"Bureau of Alcohol"	0.0823612
"Congressional Research Service"	0.0823086
NHTSA	0.0822792
"Health Ministry"	0.0821493
"Los Angeles Police Department"	0.08199
"Agriculture Department"	0.0816386
authority	0.0815895
"Education Department"	0.0815615
"Department of Veterans Affairs"	0.081507
"Department of Housing and Urban Development"	0.0812323
"Department of Health"	0.0811777
FCC	0.081158
"Economic Planning Agency"	0.0811545
"Russian Space Agency"	0.0809182
"World Health Organization"	0.0808846
UNDP	0.0804626
OSHA	0.080322
DP	0.0800987
Gao	0.0797136
"International Monetary Fund"	0.0795985
"Texas Department of Public Safety"	0.0795001
Stasi	0.0794165
IEA	0.0790873
"World Food Program"	0.0788354
SLOC	0.078576
FSB	0.0783729
"Department of Corrections"	0.0782565
investigator	0.0781561
"task force"	0.0781412
"Health Care Financing Administration"	0.078133
"Agency for International Development"	0.0780515
"Securities and Exchange Commission"	0.077779
"U.S. Olympic Committee"	0.0774717
"International Atomic Energy Agency"	0.0773224
"U.S. Immigration and Naturalization Service"	0.0769539
OSCE	0.0766062
committee	0.0764949
prosecutor	0.0759544
organization	0.0758423
"National Institutes of Health"	0.07579
"Labor Department"	0.0753606
FAO	0.0747385
"U.S. Army"	0.0746194
CBO	0.0742589
ICRC	0.0740817
NRC	0.0740675
NATO	0.0739527
"Royal Canadian Mounted Police"	0.0735928
federation	0.0734865
"local government"	0.0731999
"European Commission"	0.0731368
"Congressional Budget Office"	0.073131
SEC	0.0730665
"armed forces"	0.0729093
"Defense Ministry"	0.0726045
"U.S. Environmental Protection Agency"	0.0725069
"law enforcement"	0.0723678
"National Aeronautics and Space Administration"	0.0721723
"Kenneth Starr"	0.0721592
"National Highway Traffic Safety Administration"	0.0720185
"Department of State"	0.0718961
UNAIDS	0.0718778
UN	0.0712212
USAID	0.0710976
firm	0.0705055
"Ministry of Defense"	0.0704131
"Interior Department"	0.0701184
university	0.0700537
ILO	0.0699947
"fire department"	0.0697795
"Department of Public Safety"	0.0697642
HHS	0.069706
"U.N. Development Program"	0.0694286
Counsel	0.0694249
"Amnesty International"	0.0693023
inspector	0.0692542
"Department of Labor"	0.0690434
"Agriculture Ministry"	0.0689784
BIA	0.0686071
HCFA	0.068593
"Defense Agency"	0.068562
Reno	0.0680962
airline	0.0680857
Congress	0.0680558
"tobacco industry"	0.0676765
lab	0.0675606
"central bank"	0.0675515
bank	0.0674595
"Finance Ministry"	0.0674133
treasury	0.0673635
Microsoft	0.0671988
"New York Police Department"	0.0670039
regulator	0.0668555
"International Red Cross"	0.0668491
"U.S. Agriculture Department"	0.0663244
"U.S. Fish and Wildlife Service"	0.0662577
ADB	0.0662222
))
(Ciampi (desc 693.53) (sims
"de Charette"	0.230316
Moratinos	0.228584
Rifkind	0.227173
Scalfaro	0.226906
Ruehe	0.226135
Stoyanov	0.22237
Klestil	0.218816
Holl	0.217275
Ikeda	0.213863
Guterres	0.210969
Meguid	0.209737
Rodionov	0.208167
Kasoulides	0.193911
Velayati	0.193485
Akayev	0.193183
Constantinescu	0.191111
Kok	0.190717
Bizimungu	0.186696
Nujoma	0.186065
Azad	0.183495
Galvin	0.181779
Kostov	0.178981
Scharping	0.178771
Komura	0.178204
Iliescu	0.175872
Cem	0.175681
Rau	0.175652
Niyazov	0.174772
Wolfensohn	0.174291
Prueher	0.173962
Yastrzhembsky	0.173564
Gujral	0.172809
Berri	0.172382
Kono	0.172263
Granic	0.171672
Waigel	0.171187
Tarawneh	0.169714
Lipponen	0.167726
Phieu	0.167342
Advani	0.167233
Arens	0.166892
Surin	0.16683
Maslyukov	0.166809
Hamad	0.1626
Tsang	0.161301
Nazarbayev	0.160068
Jayakumar	0.159873
Chissano	0.158571
Pangalos	0.158175
Koirala	0.157834
Hrawi	0.157715
Shevardnadze	0.157684
Dini	0.157614
Khai	0.157466
Chavalit	0.157444
Katsav	0.157122
"National Convention Executive Council"	0.156733
Abdel-Meguid	0.156721
Brundtland	0.156461
Karimov	0.156433
Aventajado	0.155419
Gowda	0.155241
Westendorp	0.154263
Singson	0.153394
Kwasniewski	0.15334
Stroyev	0.153014
Xanana	0.152992
Alarcon	0.152043
Muluzi	0.151323
Gurirab	0.150583
Bouteflika	0.150314
Klima	0.149781
Zuma	0.149602
Diouf	0.148965
Zhirinovsky	0.148961
Fernandes	0.148488
Demaci	0.148032
Lahoud	0.147797
Ikimi	0.147519
Bulatovic	0.147116
Tarrin	0.146309
Rawabdeh	0.144854
Sezer	0.144852
Shamshad	0.144736
Husseini	0.144387
Nateq-Nouri	0.143744
Masire	0.143379
"Pope John Paul"	0.143174
Ganzouri	0.14302
Kharrazi	0.142205
Orban	0.141989
Saleh	0.141701
Yazdi	0.141491
Eizenstat	0.141471
Soares	0.141108
Alatas	0.140519
Schell	0.140359
Akbar	0.14034
Hoss	0.139258
Blatter	0.139256
Kabariti	0.138866
"Chief Executive Tung Chee-hwa"	0.138775
Pustovoitenko	0.138652
Ishihara	0.13812
Papandreou	0.13772
"De Klerk"	0.137714
Severino	0.13741
"Prime Minister Banharn Silpa-Archa"	0.137113
Leghari	0.136736
"De Soto"	0.136635
Seleznyov	0.136372
Kumaratunga	0.136285
Narayanan	0.135588
Reimer	0.135364
Banharn	0.13501
Axworthy	0.134811
Demirel	0.134785
Vasile	0.134461
Mkapa	0.134054
Brahimi	0.133107
Koehler	0.133008
"Secretary General Esmat Abdul-Meguid"	0.132858
Fino	0.132613
Camdessus	0.132143
Jovanovic	0.132069
Buthelezi	0.131815
Bhattarai	0.131686
Portillo	0.13155
"Ung Huot"	0.131379
Milutinovic	0.131092
Yadav	0.131066
Pickering	0.13077
Kagame	0.130767
Havelange	0.130746
Deuba	0.130675
Juppe	0.13031
Shareh	0.12987
Clerides	0.129764
Thapa	0.129458
Napolitano	0.128978
Frei	0.128293
Grachev	0.127778
Insulza	0.127526
Santer	0.126971
Cooley	0.12681
Ecevit	0.126728
Nzo	0.126648
Markovic	0.126592
Tevanian	0.12653
Ekeus	0.126129
Boueiz	0.125907
Rossotti	0.125619
Zeroual	0.125538
Venables	0.125511
Aznar	0.125214
Ben-Ami	0.12491
Persson	0.12491
Meles	0.124793
"Than Shwe"	0.124736
"Lee Hsien Loong"	0.124563
"King Birendra"	0.124444
Nickerson	0.123913
Modise	0.123836
Ghali	0.122647
Buzek	0.122592
Majko	0.12187
Brittan	0.121761
Wolfson	0.121742
"Robert Aventajado"	0.121735
Walesa	0.121573
"Yuri Maslyukov"	0.121562
Sergeyev	0.121182
Bucaram	0.12033
Mori	0.119948
McGuinness	0.119909
Herzog	0.119348
Kyprianou	0.119313
Lukashenko	0.119125
Sahnoun	0.118854
Mineta	0.118611
Izetbegovic	0.118514
Erbakan	0.118488
Wilhelm	0.118159
Simitis	0.117322
Lockyer	0.117233
D'Alema	0.116675
Majali	0.116466
Chabot	0.116404
"Orlando Mercado"	0.116159
Maharaj	0.115829
Weizman	0.11556
Schmalensee	0.115555
"Secretary General Esmat Abdel-Meguid"	0.115394
Khaddam	0.114868
Kinkel	0.11446
Cepeda	0.114322
Rakhmonov	0.114258
Donohue	0.113946
Hamzah	0.11388
Hauser	0.113346
"President Lee Teng-hui"	0.112986
Solich	0.112538
Stephanopoulos	0.112526
Luong	0.11243
Tsvangirai	0.112153
Zarb	0.112098
Goh	0.111917
Zou	0.11124
Kan	0.111091
Malu	0.110879
Qiao	0.110877
Gormley	0.110801
Rafsanjani	0.110697
Bedie	0.110197
hodgson	0.110152
Xiong	0.110009
Arbour	0.10999
Troussier	0.109976
Nemtsov	0.109973
Sumaye	0.109706
Krajisnik	0.109453
Ingraham	0.10935
Piot	0.109321
Vedrine	0.109285
Sharma	0.108852
Ghalib	0.108801
Gullikson	0.108691
Beilin	0.108338
Sampaio	0.108318
Shipley	0.108282
Obasanjo	0.107518
Eubanks	0.107309
Banzer	0.107293
Beazley	0.107227
Carollo	0.107196
burg	0.107173
Chuan	0.107161
Amato	0.107005
Muoi	0.106821
McCurry	0.106746
Solana	0.106738
Ebersol	0.10671
"Tim Fischer"	0.106692
"Defense William Cohen"	0.10661
Soyinka	0.106595
Hynes	0.106351
Musa	0.105951
Benazir	0.105292
Ainge	0.105234
Marulanda	0.105215
Chaudhry	0.105201
Cavallo	0.105163
Nebiolo	0.105105
"Igor Sergeyev"	0.105056
Vollebaek	0.104995
Baz	0.104754
"John Prescott"	0.10463
Aziz	0.104594
Wellstone	0.104582
Ciller	0.104561
Dodik	0.104407
Sharon	0.104343
Hashimoto	0.104343
Rasmussen	0.104275
Fu	0.104219
Ahtisaari	0.104201
Gullit	0.103947
Preval	0.103775
Gossage	0.103707
Prodi	0.103697
Daft	0.103686
Bildt	0.103623
Wahid	0.103556
Glickman	0.103527
Bolger	0.103305
Gargan	0.102579
frist	0.102564
Sharansky	0.102424
"Israeli Foreign Ministry"	0.102345
Mandelson	0.102327
Obuchi	0.102179
Ivester	0.102127
Rossello	0.101631
"Tareq Aziz"	0.10161
"John G. Rowland"	0.101477
Sanan	0.101454
Mordechai	0.101453
Denktash	0.101411
Pryor	0.101397
Tella	0.101393
Fieger	0.10119
"Inder Kumar Gujral"	0.101183
Azizah	0.101163
Whitacre	0.101105
Leung	0.101077
Fassett	0.101037
LeBlanc	0.100958
Schiff	0.100918
al-Sahaf	0.100863
Anand	0.100843
Kuchma	0.100829
"Kiichi Miyazawa"	0.100782
"Roy Barnes"	0.100756
"Yoshiro Mori"	0.100724
O'Malley	0.100634
Rais	0.100523
Zeng	0.100196
Lari	0.100087
))
(Cianci (desc 696.318) (sims
Muluzi	0.128583
Yadav	0.127421
Lockyer	0.125036
Alatas	0.123195
Yastrzhembsky	0.12278
Guei	0.121079
Bruton	0.120593
Hauser	0.119161
Nebiolo	0.11913
Manley	0.118262
Gullit	0.117077
Brazile	0.115975
Advani	0.114469
Jovanovic	0.114133
Nasrallah	0.113033
Rothenberg	0.111756
Myhrvold	0.111594
Fiddes	0.111528
Diouf	0.110495
Koskinen	0.110124
Grasso	0.10988
Ribbeck	0.108283
Kazhegeldin	0.106961
Shinn	0.106911
Komura	0.10651
Joklik	0.106118
Shipman	0.105739
Reimer	0.105721
Schlessinger	0.105497
Preval	0.104239
"Perez Balladares"	0.103872
Verniero	0.102866
Kerasiotes	0.102775
Garcetti	0.102722
Galvin	0.102184
"Carlos Salinas"	0.102142
Allchin	0.101466
Demaci	0.101372
Vialli	0.101351
Longo	0.100573
Edelman	0.0999619
Rossello	0.099825
Sommer	0.0992242
Khalil	0.0990806
Ruthardt	0.0990756
Nujoma	0.0990377
Maritz	0.098368
Walser	0.0979101
Fassett	0.0975962
hodgson	0.096941
Husseini	0.0969345
Schaeuble	0.0968782
LeBlanc	0.0961642
Shayler	0.0953811
Fuhrman	0.0950865
Cleary	0.0946221
Leavitt	0.0944887
Borodin	0.0944498
Kurth	0.0942727
Giordano	0.0941912
Ackerman	0.0940943
Sherrill	0.094016
Hamid	0.0940143
Callaghan	0.0937452
Barshefsky	0.0936685
Guterres	0.0936182
Jelisic	0.0932076
Swango	0.0930364
Gaynor	0.0929962
Villanueva	0.0926625
Aleman	0.0922475
Arpaio	0.0919026
Tennant	0.0913772
Ashrawi	0.0907969
Hersh	0.0906549
Donohue	0.0905155
Ruggiero	0.0905134
Ruehe	0.090343
Penders	0.090334
Kalejs	0.0900362
Carollo	0.0897802
Isner	0.0896528
Fabius	0.0893002
Coffey	0.0890476
Ikeda	0.0889452
DERSHOWITZ	0.088535
Quackenbush	0.0884729
Schell	0.0880635
Connolly	0.0880472
Ciampi	0.0880275
Giacchetto	0.0877985
Musa	0.0877921
Lautenberg	0.0874029
Shevardnadze	0.0873118
Mustafa	0.0868229
Pickering	0.0866434
Rankin	0.086553
Chadwick	0.0864813
Soyinka	0.0863316
Prewitt	0.0862341
Scalfaro	0.0860431
Troussier	0.085681
Haskins	0.0855364
Romer	0.0854858
Solich	0.0854704
Groscost	0.085265
Nikitin	0.0852619
Juppe	0.0852382
Talebi	0.0850719
Kagalovsky	0.0848008
Siazon	0.0847872
Izetbegovic	0.0846977
Sanan	0.0846351
Klima	0.0845671
Carville	0.0845656
Deuba	0.0843545
Kato	0.0841232
Drabinsky	0.0838486
Narayanan	0.0835215
"King Abdullah II"	0.0830035
Goossen	0.082878
Hiddink	0.0826773
Schaeffer	0.0822985
Rivlin	0.0822942
Rosen	0.0822244
Barksdale	0.0821816
Camdessus	0.0821469
Chavalit	0.0820955
Azizah	0.0820587
Cem	0.0820095
Gowda	0.0819476
Gutman	0.0818847
Haughey	0.0817225
Kouchner	0.0815627
Samper	0.0814544
Shaheen	0.0814381
Sather	0.0811657
Warshaw	0.0811225
Torvalds	0.0809628
"Wim Kok"	0.0809325
Schuessel	0.0807756
Ishihara	0.0807686
Conroy	0.0806914
Daft	0.0806035
McCaffrey	0.0803751
Mokhehle	0.0800992
Skuratov	0.0800137
"Log Cabin Republicans"	0.079984
Ahern	0.0799422
Tung	0.0798374
Bucaram	0.0797911
Kostov	0.0796565
Perec	0.0795954
Hickman	0.0793879
Verney	0.079316
Flanagan	0.0791597
McLane	0.0791096
Bonner	0.0790913
Berlusconi	0.0790596
Kaczynski	0.0790359
Sponeck	0.0789387
Bolger	0.0789344
Jobe	0.0787311
Bustamante	0.0785838
Hiett	0.0785425
Biden	0.0782971
Maslyukov	0.0781635
Banzer	0.0779926
"Le Pen"	0.0778485
Mukora	0.0778207
Beilin	0.0775415
Zedillo	0.0774848
Kwasniewski	0.0774417
Mikhailov	0.0774216
Jayalalitha	0.0774211
"Chief Executive Tung Chee-hwa"	0.0773044
Shulman	0.0770664
"U.S. Soccer Federation"	0.0770655
Satcher	0.0768837
Aliev	0.0768814
Laudor	0.076626
Luong	0.0764402
Stoyanov	0.076434
Beckwith	0.0764056
Cleland	0.0761892
Banharn	0.0759472
Jayakumar	0.0758669
Lazarenko	0.0756702
Dumas	0.0756182
Neeman	0.0755175
Stayner	0.075369
Hartsburg	0.0753541
Eizenstat	0.075317
Haouari	0.0753042
Eran	0.0752772
Mordechai	0.0752393
Baucus	0.0751805
Titov	0.0750373
NARAL	0.0750095
Espinosa	0.0749169
))
(cicada (desc 1919.03) (sims
songbird	0.0759013
grasshopper	0.0700536
"moral hazard"	0.0652913
pendant	0.0627752
warbler	0.0611767
Firefly	0.0568088
snail	0.0560248
spider	0.0540306
"sea lion"	0.0533161
gnat	0.0509269
earthworm	0.0499624
netball	0.0496942
blackbird	0.0493878
"sea otter"	0.0489929
householder	0.0478659
"sea gull"	0.0467144
humpback	0.0460034
hyena	0.0448165
locust	0.0445939
topiary	0.0443678
armadillo	0.0437024
"water buffalo"	0.0436629
ladybug	0.0435442
bather	0.0419523
"car horn"	0.0412676
deejays	0.0410037
termite	0.0408148
tarpon	0.040087
Lionel	0.0400016
))
(Cicero (desc 2156.1) (sims
Evanston	0.119699
Naperville	0.119165
Riverdale	0.116028
LaGrange	0.105534
Pelham	0.0938213
Addison	0.0892929
"Grand Prairie"	0.0865047
Princeville	0.0862319
Carmel	0.0850311
Barrington	0.082995
MINEOLA	0.082571
Wheaton	0.0817949
"Fairfax County"	0.0816888
"East St. Louis"	0.0805016
Lawrenceville	0.0801076
Chappaqua	0.0792684
Leawood	0.0780272
Quincy	0.0757818
Chatham	0.0756717
BRIGHTON	0.075475
"Monroe County"	0.074567
Woburn	0.0736544
Hempstead	0.0726482
"Cook County"	0.0726419
Plano	0.0719515
Dearborn	0.0719133
Amherst	0.0716507
"Saratoga Springs"	0.0698768
Feldman	0.0690017
Westchester	0.0682451
Westfield	0.0668674
Glendale	0.0664448
"Highland Park"	0.0660362
Yonkers	0.0658275
Montserrat	0.0649768
"Jefferson County"	0.0647583
Decatur	0.064217
Shipman	0.0638205
Peoria	0.0636765
Poughkeepsie	0.0636077
Deerfield	0.0625291
Ashland	0.0620951
Herndon	0.0619415
Camden	0.061913
Blackthorne	0.0611043
"Abu Dis"	0.0611013
Chester	0.0610226
Latham	0.060986
Medinah	0.0608905
Chatsworth	0.0599117
oceanside	0.0586147
Greenwich	0.0582479
Dixon	0.0574779
BNFL	0.0571111
FPL	0.0569915
Nebiolo	0.0569111
Hines	0.0567867
"Mount Vernon"	0.0565117
Yoakam	0.0562962
"TOMS RIVER"	0.0562562
"Hyde Park"	0.0561688
Waterloo	0.0561663
Kingston	0.0557087
wrecker	0.0555506
Tarrytown	0.0554789
Carrollton	0.0554204
"white person"	0.055385
Milton	0.055182
"Overland Park"	0.0550864
"New Rochelle"	0.0550366
LAKEWOOD	0.0547641
"Russian Defense Ministry"	0.0547525
Gibbon	0.0546881
"Rockland County"	0.0545044
Somerville	0.0543391
Lundy	0.0542272
Ciampi	0.0541862
Prewitt	0.0539652
Hastings	0.0536803
Schmalensee	0.0536482
"Garden City"	0.0532683
Woodstock	0.0531014
Cleary	0.0528328
"Woodland Hills"	0.0527282
Nago	0.0526386
Ridgewood	0.0521035
Bedford	0.0520732
Calabasas	0.0519889
Pailin	0.0519509
"Boys Ranch"	0.0511552
"Paradise Valley"	0.0507175
Palmdale	0.0505719
Saint-Denis	0.0505027
"Truman Capote"	0.0504799
Panzhihua	0.0502708
Binghamton	0.0502284
Greenwood	0.0502027
Maritz	0.0501805
Cavallo	0.0501738
Dundee	0.050051
Arizmendi	0.0499753
Frankenheimer	0.0499381
"Madison County"	0.0496591
Wasserstein	0.049645
Callaghan	0.0495395
"Westchester County"	0.0495249
"Cherry Hill"	0.0494654
USTA	0.0493271
"Jackson County"	0.0492574
Pomona	0.0492004
Tubbs	0.0490018
Schenectady	0.0487179
Collymore	0.048529
Medina	0.0481694
Needham	0.0479993
Quintana	0.0479404
Piraeus	0.0478499
Scarsdale	0.0478416
"Nassau County"	0.0478309
Bloomington	0.0477964
Haskins	0.0475513
Uniondale	0.0475311
"Stony Brook"	0.0473747
Tarrin	0.0473623
DeKalb	0.0472832
Campo	0.0472669
Burbank	0.0472534
"Quezon City"	0.047133
Soweto	0.0470064
riverside	0.0469046
Jasper	0.0468472
"Olympic Committee"	0.0468445
SBA	0.0467794
Groscost	0.0467788
Natale	0.0466832
Blatter	0.0465853
"Vero Beach"	0.0465097
Murkowski	0.0463423
Biskind	0.0463285
HHS	0.0462295
"King County"	0.0462204
Piedmont	0.0462025
Sanya	0.0461697
Canady	0.0461295
Alpharetta	0.0460413
Valenzuela	0.046011
Passarella	0.0460074
Eisenman	0.0459819
"Sandy Springs"	0.0458224
Forsyth	0.0454108
Marion	0.0452565
Rostock	0.04514
Brazill	0.0451177
"U.S. Administration"	0.0451059
Joklik	0.0450556
Montclair	0.0450404
Wilkerson	0.0449683
Malden	0.0448787
McLean	0.0448284
"Santa Clarita"	0.0448136
Chengde	0.0448092
"White Plains"	0.044607
NYPD	0.0445902
Weimar	0.0445894
Danville	0.0445578
Slatkin	0.0445433
Pelosi	0.0444918
"Van Nuys"	0.0444902
Peekskill	0.044405
"U.S. Defense Department"	0.0443581
HCFA	0.0441994
"Scotland Yard"	0.0440625
"El Segundo"	0.0440429
Jericho	0.0440205
Lessig	0.043985
Dundalk	0.0438984
"Central Province"	0.0438797
Spokane	0.043879
SDPC	0.0438546
Sassa	0.043834
Katy	0.0438101
Freeport	0.043715
Bakaly	0.0437043
Shaoxing	0.0436748
Bonner	0.0436631
"Kosovo Polje"	0.0433901
Verona	0.0433043
"Forest Hills"	0.0432965
SAFY	0.0432929
Waigel	0.0432874
"Dutchess County"	0.0432436
Barksdale	0.0432105
"San Pedro Sula"	0.0430549
Geiger	0.0430455
Martorano	0.0429898
Duisenberg	0.0429765
Vukovar	0.0429374
Framingham	0.0429168
All-Tech	0.0428432
Rideau	0.0428385
))
(cider (desc 7063.36) (sims
"apple juice"	0.223061
buttermilk	0.20827
"chicken stock"	0.189458
"orange juice"	0.186595
"cider vinegar"	0.182933
half-and-half	0.180037
"white wine"	0.170518
"peanut oil"	0.168671
"chicken broth"	0.167579
Calvados	0.167284
"coconut milk"	0.166133
lemonade	0.165447
vinegar	0.15883
"brown sugar"	0.158434
"pineapple juice"	0.156934
"evaporated milk"	0.156066
"heavy cream"	0.156051
"iced tea"	0.15497
"soy sauce"	0.150162
juice	0.150153
"lemon juice"	0.147032
broth	0.146833
"sour cream"	0.142647
milk	0.142317
"red wine"	0.139031
ketchup	0.138778
"whipping cream"	0.135487
"corn syrup"	0.135371
yogurt	0.135222
mayonnaise	0.133374
"lime juice"	0.132906
brandy	0.130977
"maple syrup"	0.130519
"tomato juice"	0.129984
sherry	0.129302
mustard	0.12911
"skim milk"	0.123532
molasses	0.123476
"beef broth"	0.123474
"tomato sauce"	0.122819
soda	0.120193
liqueur	0.120049
vodka	0.119323
"beef stock"	0.118949
"hoisin sauce"	0.118932
"Worcestershire sauce"	0.117328
blueberry	0.11578
"hot chocolate"	0.11564
cocoa	0.11535
raisin	0.115203
cornstarch	0.114593
"mineral water"	0.114185
"dried fruit"	0.114003
"fruit juice"	0.113243
rum	0.111622
"chili sauce"	0.111396
"olive oil"	0.111131
"egg yolk"	0.111081
syrup	0.111054
Cognac	0.111016
puree	0.110552
raspberry	0.110191
"tomato paste"	0.109847
"cranberry juice"	0.109425
"grapefruit juice"	0.109005
vermouth	0.10869
"wine vinegar"	0.10863
jelly	0.108506
wine	0.107484
currant	0.107367
ricotta	0.106909
"ice water"	0.106769
sugar	0.106645
pecan	0.106608
cream	0.106292
honey	0.105545
bourbon	0.105226
"pine nut"	0.105023
tequila	0.105006
"spring water"	0.104879
Liquid	0.104764
"peanut butter"	0.102444
Kool-Aid	0.101804
"green tea"	0.101666
"barbecue sauce"	0.100662
"Grand Marnier"	0.100338
"vegetable oil"	0.0993891
horseradish	0.0991995
chutney	0.0983962
blackberry	0.0981735
cornmeal	0.0980096
onion	0.0979734
panko	0.0975564
tarragon	0.0975158
applesauce	0.0974999
shallot	0.0968919
soup	0.0967737
"root beer"	0.0961979
"cottage cheese"	0.0961653
champagne	0.094527
coconut	0.0943875
tomato	0.0941789
almond	0.0938367
muffin	0.0938341
cheese	0.0938235
cabbage	0.0937755
tea	0.0927412
florets	0.0925438
cranberry	0.0922272
"orange zest"	0.0918823
oatmeal	0.0917452
breadcrumb	0.0917278
coffee	0.0912818
crumb	0.090808
espresso	0.0906249
"Diet Coke"	0.0905309
"chili powder"	0.0899879
flour	0.0897861
"condensed milk"	0.089722
cilantro	0.0896201
"soft drink"	0.0895378
miso	0.0888401
butter	0.0882064
sauce	0.0879474
"white rice"	0.0878256
parsley	0.0875543
Basil	0.0875423
cola	0.0873404
"red pepper"	0.0869316
"blue cheese"	0.0868188
"ice cream"	0.0856836
margarine	0.0853106
lime	0.0850871
apricot	0.0848578
"sesame oil"	0.0848078
mushroom	0.0843638
"sparkling wine"	0.0840592
walnut	0.0837641
"macadamia nut"	0.0830591
scotch	0.0827048
croutons	0.0825184
biscuit	0.0824843
beverage	0.0820919
"tap water"	0.0820726
"cream cheese"	0.0819321
leek	0.0814707
Beer	0.0812224
Pudding	0.0810409
hazelnut	0.0810318
"egg white"	0.0802171
"Dom Perignon"	0.0799636
"black bean"	0.0799266
apple	0.0798977
peach	0.0798459
smoothie	0.0797684
salsa	0.0797669
vanilla	0.079707
"ginger ale"	0.0796686
lemon	0.0795933
"soda pop"	0.0795727
"baked goods"	0.0795017
bread	0.0794272
pineapple	0.0791814
dill	0.0791693
merlot	0.0791474
liquor	0.0790759
fraiche	0.078347
vinaigrette	0.0781658
cappuccino	0.0780735
ginger	0.0779817
strawberry	0.07794
Cherry	0.0777104
custard	0.0767634
shortening	0.0767631
nectar	0.0767177
"whipped cream"	0.0766596
pumpkin	0.0765684
bouillon	0.0763933
mango	0.0763304
Garlic	0.0763183
dumpling	0.0759971
ale	0.0757258
berry	0.0756869
RHUBARB	0.0756583
brew	0.0756215
"lemon zest"	0.0752829
cauliflower	0.0751381
Zinfandel	0.0745974
"pumpkin seed"	0.0742601
Chardonnay	0.0742377
tahini	0.0741735
"sesame seed"	0.0740493
pesto	0.0739777
"green onion"	0.0738182
"cheddar cheese"	0.0736611
sauerkraut	0.0736361
salt	0.0736226
thyme	0.0734877
candy	0.0734423
pastry	0.0733367
))
("Cider House" (desc 1194.02) (sims
"sixth sense"	0.0960388
"American Beauty"	0.0733797
talkie	0.0690149
Dickensian	0.0686452
Footloose	0.0645543
BRIER	0.0634263
"Green Mile"	0.0630418
"Double Jeopardy"	0.0606609
Waterboy	0.0604129
Forsythe	0.060308
"Lethal Weapon @"	0.0578486
Iceman	0.0572512
"Cider House Rules"	0.0564452
"Lilith Fair"	0.0562616
"Emmy Award"	0.0543628
"Blair Witch"	0.0543319
"Frances McDormand"	0.0543261
eugenics	0.0533068
"Scream @"	0.0524697
"John Robinson"	0.0513971
Oedipus	0.0512373
"Being John Malkovich"	0.0503766
"Peter Pan"	0.0494808
Kuhn	0.0485895
Massey	0.0479422
Nepa	0.0479062
"Patch Adams"	0.0475499
Towns	0.0468273
Hunchback	0.0464959
hostage-takers	0.0461174
Othello	0.0460673
HDTV	0.0454734
"Christmas carol"	0.0453045
"shipwreck survivor"	0.0452869
"Toy Story"	0.0451162
"Civil Action"	0.0451119
U-@@@	0.0447212
Paez	0.0443882
"Stuart Little"	0.0426626
"North Carolinian"	0.0425653
"color television"	0.0419349
Bulworth	0.0418626
"Anna Karenina"	0.041251
"Joe Camel"	0.0402247
))
("Cider House Rules" (desc 5221.28) (sims
"Green Mile"	0.184909
"Ideal Husband"	0.158983
"Being John Malkovich"	0.156022
"American Beauty"	0.146184
"Mickey Blue Eyes"	0.140398
"Erin Brockovich"	0.120062
"Fight Club"	0.118306
"sixth sense"	0.115938
"Life Is Beautiful"	0.112809
"Thin Red Line"	0.10755
"Space Cowboys"	0.104705
"Perfect Storm"	0.100797
"Civil Action"	0.0998183
"Patch Adams"	0.0981969
"Blair Witch Project"	0.0959069
Rushmore	0.0941014
ripley	0.0934831
"American Psycho"	0.0924263
"Eyes Wide Shut"	0.0914401
"Wild Party"	0.091139
"Saving Private Ryan"	0.0910722
"Stuart Little"	0.0893108
"Good Will Hunting"	0.088968
"Scary Movie"	0.0884424
"Princess Mononoke"	0.0875001
Matrix	0.0865289
"Double Jeopardy"	0.0839951
"Scream @"	0.0834822
"Iron Giant"	0.0832163
"Cradle Will Rock"	0.0831822
out-of-towners	0.082521
"Little Voice"	0.0812422
"Central Station"	0.0804309
"Mod Squad"	0.0796505
"Notting Hill"	0.0777322
"high fidelity"	0.0772908
"scarlet pimpernel"	0.0763578
affliction	0.0755684
Antz	0.0754449
"Cruel Intentions"	0.0749564
"Mighty Joe Young"	0.0746212
"Runaway Bride"	0.0742508
"Smoke Signals"	0.0740337
Magnolia	0.0733463
"Beauty Queen"	0.0712415
"Simple Plan"	0.0708515
"Straight Story"	0.0693085
Lolita	0.068783
"Thomas Crown Affair"	0.0676627
"Toy Story @"	0.0666299
"American Pie"	0.0650995
"Varsity Blues"	0.0650924
"Boogie Nights"	0.0650791
"Been Kissed"	0.0646151
EdTV	0.0643663
"Truman Show"	0.0642378
"Apt Pupil"	0.0639813
Shakespeare	0.0628261
"Blue Room"	0.0622876
"Nurse Betty"	0.0618806
thriller	0.0605514
U-@@@	0.0601119
"Lion King"	0.0591194
Screenplay	0.0589417
"Great Gatsby"	0.0583952
"Wild Wild West"	0.0583187
Gladiator	0.0581547
"chicken run"	0.0577988
entrapment	0.0575883
"Inspector Gadget"	0.057559
"Random Hearts"	0.0573744
"Satanic Verses"	0.057314
"Titan A.E."	0.0572596
"True West"	0.0571386
"Les Miserables"	0.0568498
tumbleweed	0.0566331
"Cider House"	0.0564452
miniseries	0.0552917
"love letter"	0.0551378
"Phantom Menace"	0.0548812
"Hollow Man"	0.0546961
Mulan	0.0546786
"Music Man"	0.0543098
"Galaxy Quest"	0.0540781
"High Art"	0.054068
"wonder boy"	0.0536842
insider	0.0532271
Ronin	0.0523726
"Deep Impact"	0.0520493
"English Patient"	0.0519442
X-MEN	0.0519246
"Blair Witch"	0.0517221
"Sleepy Hollow"	0.0514294
"Very Bad Things"	0.0512432
phantom	0.0512398
"ice storm"	0.0512222
Tarzan	0.0512039
"Iceman Cometh"	0.0510394
"Jude Law"	0.0508445
Madeline	0.0507325
"Primary Colors"	0.0506272
"Sam Mendes"	0.0505693
"Horse Whisperer"	0.0504078
"Lethal Weapon @"	0.0499858
Pleasantville	0.0496481
stepmom	0.0493659
"Big Daddy"	0.0493006
"Meet Joe Black"	0.0492091
"Full Monty"	0.048734
"John Irving"	0.0480651
"Got Mail"	0.0478588
"Velvet Goldmine"	0.0474332
"pitch black"	0.0474223
"Jerry Maguire"	0.0473969
"Impossible @"	0.0471479
Armageddon	0.0470867
"Forrest Gump"	0.0469463
"Spin City"	0.046917
"feature film"	0.0468175
Bowfinger	0.0466757
Electra	0.0459221
Stigmata	0.0459167
"Get Real"	0.0459108
Waterboy	0.0457847
tingle	0.0457568
"best man"	0.0457465
endgame	0.0454832
weir	0.045387
Dracula	0.0453119
Titanic	0.0449317
payback	0.0448595
novella	0.0448293
Frankenstein	0.0441321
"Swan Lake"	0.0430176
"Night Fever"	0.0416221
Rashomon	0.0415339
"detective story"	0.0413347
Evita	0.0410933
"Ethan Hawke"	0.0407919
Carrie	0.0406878
Hilary	0.0406273
"Denzel Washington"	0.0402452
Hurlyburly	0.0400607
))
("cider vinegar" (desc 1733.95) (sims
"wine vinegar"	0.333882
"peanut oil"	0.316408
"Worcestershire sauce"	0.314556
"heavy cream"	0.302745
cornstarch	0.293404
"chicken stock"	0.279029
"chicken broth"	0.269034
"soy sauce"	0.265665
"lemon juice"	0.254341
"evaporated milk"	0.253163
vinegar	0.24836
"pineapple juice"	0.246476
"chili powder"	0.246157
"lime juice"	0.245956
"coconut milk"	0.239817
"chili sauce"	0.238219
"corn syrup"	0.236825
"sesame oil"	0.236285
"tomato paste"	0.234566
half-and-half	0.234428
"brown sugar"	0.232516
"whipping cream"	0.228567
buttermilk	0.227888
"sesame seed"	0.227239
"vegetable oil"	0.22209
"cumin seed"	0.221291
"curry powder"	0.22053
tahini	0.21887
"fennel seed"	0.21564
"almond extract"	0.215185
"baking powder"	0.21353
"coriander seed"	0.20927
"vanilla extract"	0.205758
"maple syrup"	0.193784
"olive oil"	0.193167
"celery seed"	0.193153
cornmeal	0.191391
"Grand Marnier"	0.189006
sherry	0.188786
"sour cream"	0.18815
"orange juice"	0.185776
shortening	0.184877
"hoisin sauce"	0.184516
mustard	0.184273
"pine nut"	0.183787
cider	0.182933
paprika	0.182538
"white wine"	0.182521
"tomato juice"	0.18218
"beef broth"	0.179857
"cayenne pepper"	0.179008
"skim milk"	0.174737
"baking soda"	0.173421
panko	0.17312
mayonnaise	0.172707
"lemon zest"	0.170848
peppercorn	0.170718
molasses	0.169873
"mustard seed"	0.169591
parsley	0.169187
"orange zest"	0.167742
"beef stock"	0.167422
"pepper sauce"	0.165434
honey	0.163693
marjoram	0.162628
horseradish	0.161411
ketchup	0.161295
"seasoned salt"	0.161059
cilantro	0.160962
turmeric	0.160656
allspice	0.1575
liqueur	0.156433
"pumpkin seed"	0.152939
oregano	0.151737
"apple juice"	0.150902
flour	0.150802
"Tabasco sauce"	0.147791
shallot	0.147606
"tomato sauce"	0.147465
"orange marmalade"	0.145893
cumin	0.145602
canola	0.144318
Calvados	0.144203
rum	0.142745
Garlic	0.142209
margarine	0.141744
cinnamon	0.140889
butter	0.138411
brandy	0.138115
"egg yolk"	0.13682
currant	0.13631
raisin	0.133618
ginger	0.132501
"black pepper"	0.13136
thyme	0.130684
puree	0.130439
"hot pepper"	0.130056
"white rice"	0.129932
"ice water"	0.129665
salt	0.129626
vermouth	0.129354
cocoa	0.128466
raspberry	0.127764
crumb	0.12667
onion	0.12395
vanilla	0.123617
"peanut butter"	0.122218
chive	0.121371
"macadamia nut"	0.120249
"white pepper"	0.119688
blackberry	0.119157
dill	0.118683
mint	0.118266
pecan	0.117627
"blue cheese"	0.116959
"barbecue sauce"	0.116488
Basil	0.116189
lentil	0.115628
"condensed milk"	0.115387
breadcrumb	0.115194
cream	0.113109
almond	0.112342
"garlic salt"	0.111495
"egg white"	0.111098
rosemary	0.110372
broth	0.109609
walnut	0.109157
"green onion"	0.109068
powder	0.108067
ricotta	0.107177
hazelnut	0.106
"cooking oil"	0.104796
lard	0.104469
blueberry	0.104263
Madeira	0.104007
florets	0.10374
applesauce	0.103338
tarragon	0.103194
gelatin	0.102214
flake	0.101239
cayenne	0.101072
"poppy seed"	0.100911
miso	0.100544
bourbon	0.0996623
coconut	0.0984638
"black olive"	0.0973462
juice	0.0966064
yogurt	0.0961597
"cream cheese"	0.0959224
flavoring	0.0952854
"red pepper"	0.0952817
"red onion"	0.0942761
fraiche	0.0936382
tapioca	0.0931397
syrup	0.0930121
"snow pea"	0.092969
nutmeg	0.09287
oatmeal	0.0926637
apricot	0.0920319
olive	0.0920302
"black bean"	0.0918981
"hot sauce"	0.0905032
Tamarind	0.0899312
bran	0.0897386
chutney	0.089731
"cottage cheese"	0.0894715
yolk	0.0893599
clove	0.0892637
seasoning	0.0889745
Tabasco	0.0889229
"bell pepper"	0.0888717
RHUBARB	0.0885031
"red wine"	0.0880293
celery	0.0860649
Or	0.0851114
coriander	0.0835115
marshmallow	0.0833011
oat	0.0827227
"lemon peel"	0.0826981
Parmesan	0.0823824
"cheddar cheese"	0.0814926
"food coloring"	0.0810165
"wild rice"	0.0806097
cranberry	0.0794261
lime	0.0793336
"goat cheese"	0.0792235
"cherry tomato"	0.0786254
scallion	0.0782277
kernel	0.0780109
yeast	0.0773506
"green tea"	0.0770491
"fava bean"	0.0770166
"bean sprout"	0.076757
bouillon	0.0763218
tequila	0.0751331
pesto	0.0749095
vinaigrette	0.0740581
"star anise"	0.0737871
pistachio	0.0735
croutons	0.0734219
))
(Ciena (desc 3245.09) (sims
ascend	0.26544
ALZA	0.225595
XYLAN	0.22169
"U.S. Trust"	0.205058
TELLABS	0.203106
Petrofina	0.19754
McKesson	0.19523
SmithKline	0.189253
SDL	0.187236
COLTEC	0.18593
Emulex	0.185365
Nortel	0.183432
RJR	0.18181
"Nortel Networks"	0.179273
"Thermo Electron"	0.178012
EMC	0.173981
NatWest	0.170357
"Union Carbide"	0.169979
"Bay Networks"	0.168399
"JDS Uniphase"	0.168313
Nabisco	0.167458
MiniMed	0.167377
TYCO	0.162346
"Times Mirror"	0.160333
"Northern Telecom"	0.158061
Honeywell	0.156334
VoiceStream	0.155802
Pairgain	0.155709
GTE	0.155262
Genzyme	0.152847
Amgen	0.152713
Litton	0.151541
CMGI	0.151335
Bestfoods	0.151167
BankAmerica	0.151156
"U S West"	0.149456
"RJR Nabisco"	0.149247
Cerent	0.148886
sandpiper	0.148739
GeoCities	0.147604
LTCB	0.146466
Chiron	0.146283
Healtheon	0.146176
Seagram	0.145985
Cendant	0.145695
Broadcast.com	0.145423
Stratus	0.144489
NORTHROP	0.144398
Asarco	0.144126
ARCO	0.143961
Warner-Lambert	0.143889
"Learning Co."	0.14388
Broadcom	0.143695
Glaxo	0.143444
ExciteAtHome	0.143419
Biogen	0.143207
Mannesmann	0.143175
Asda	0.142523
"HBO &AMP; Co."	0.142195
Qualcomm	0.142164
UAL	0.141796
Norwest	0.141758
"P&AMP;G"	0.141328
WorldCom	0.141189
Broderbund	0.140835
Cisco	0.140758
NTL	0.140001
"Computer Associates"	0.139474
WPP	0.138958
RAMBUS	0.138609
VENATOR	0.138561
Infoseek	0.138543
Corning	0.13819
BCE	0.13742
Comsat	0.136149
Sunbeam	0.13586
AMR	0.135565
"Fred Meyer"	0.135491
Checkfree	0.135109
HBOC	0.134898
"Bankers Trust"	0.13489
Mediaone	0.13451
"Advanced Micro"	0.134399
Fingerhut	0.133578
Aetna	0.133491
Airtouch	0.13335
"Nippon Credit"	0.132175
Clorox	0.131916
"MCI WorldCom"	0.131883
Inktomi	0.13163
Avondale	0.131325
Starwood	0.130987
Daimler	0.130804
REVLON	0.130638
Astra	0.130521
PLDT	0.130062
Seagate	0.128781
Sycamore	0.12873
SBC	0.128686
Lucent	0.128558
"Niagara Mohawk"	0.128371
"Atlantic Richfield"	0.127886
AMP	0.127535
AutoNation	0.127288
Terra	0.127097
SkyTel	0.126773
Motorola	0.126754
Humana	0.126644
Compaq	0.126599
Nextel	0.126525
oracle	0.125548
TCI	0.125128
Federated	0.125086
Qwest	0.124747
RealNetworks	0.124445
"Bausch &AMP; Lomb"	0.124218
Weyerhaeuser	0.123786
"Dell Computer"	0.123729
E-LOAN	0.123724
CCE	0.123512
"BP Amoco"	0.123093
"Y&AMP;R"	0.122989
GPU	0.122875
Maytag	0.122694
"International Paper"	0.122118
Warnaco	0.121848
Tenneco	0.121776
Corel	0.121618
Ameritech	0.121504
"US Airways"	0.121301
"Rite Aid"	0.12123
"Sprint Corp."	0.121198
Genentech	0.120599
Alcoa	0.120283
Monsanto	0.12021
"Global Crossing"	0.119867
"Bankers Trust Corp."	0.119843
Lycos	0.119468
"BankBoston Corp."	0.119234
"Berkshire Hathaway"	0.119201
"J&AMP;J"	0.118634
"Gap Inc."	0.118155
Sepracor	0.11804
"Northeast Utilities"	0.117937
"Pacific Century"	0.117726
HP	0.117725
Scientific-Atlanta	0.11771
Gillette	0.117336
ENTERGY	0.11668
"Silicon Graphics"	0.116602
Penney	0.116588
"First Union"	0.116558
Amoco	0.116288
NCR	0.116281
"Dow Chemical"	0.116138
Netcom	0.116021
"Telecom Italia"	0.115803
CDnow	0.115575
"Stride Rite"	0.115451
"National Grid"	0.115401
NiSource	0.114908
Medtronic	0.114878
AHP	0.114238
Raytheon	0.114185
BankBoston	0.113908
YPF	0.113786
"Wells Fargo"	0.113666
adobe	0.113519
Alcan	0.113489
Alltel	0.113464
Hewlett-Packard	0.113302
Cabletron	0.113068
EarthLink	0.113063
Scania	0.112797
Mobil	0.112547
"American Home"	0.112368
Saks	0.112153
Priceline.com	0.112092
Ericsson	0.112046
Halliburton	0.111867
Eurotunnel	0.111377
ENTREMED	0.111268
Dresdner	0.110883
Georgia-Pacific	0.110788
UBS	0.110372
CNET	0.109815
Mattel	0.109679
SGI	0.109297
Intel	0.108737
Lockheed	0.108707
Livent	0.10863
"Learning Company"	0.108624
Novell	0.108572
PEOPLESOFT	0.10854
AlliedSignal	0.108426
Tandy	0.108115
GANNETT	0.107761
BofA	0.107759
"Phelps Dodge"	0.107452
Pharmacia	0.1074
"Times Co."	0.10698
Unisys	0.10676
"Waste Management"	0.106508
"America West"	0.106427
"Chrysler Corp."	0.106388
Citicorp	0.106371
Conseco	0.106272
"Bank of Scotland"	0.105808
"Boston Scientific"	0.105724
"US West"	0.105521
Paribas	0.105388
Hoechst	0.105373
Viacom	0.104735
Telefonica	0.104711
Kodak	0.10451
"Dayton Hudson"	0.104091
"Times Mirror Co."	0.103576
Healtheon/WebMD	0.103536
"Burlington Northern"	0.103407
Scripps	0.103382
MCI	0.103117
"Adobe Systems"	0.102853
Berkshire	0.102697
"Netscape Communications"	0.102631
"USA Networks"	0.102427
Akamai	0.102192
Aegon	0.101889
"Newport News"	0.101462
PaineWebber	0.101461
PolyGram	0.10123
AMD	0.10114
"Mobil Corp."	0.100829
Kellogg	0.100621
Agilent	0.100586
"Gillette Co."	0.100406
"Air Canada"	0.100315
"KCP&AMP;L"	0.100278
"Royal Bank"	0.100251
))
(Cienfuegos (desc 2531.17) (sims
"Mauricio Cienfuegos"	0.165305
Turgeon	0.135176
LeClair	0.134928
"Paul Caligiuri"	0.130792
"Greg Vanney"	0.127849
Audette	0.126934
Welton	0.124877
Palffy	0.123228
Primeau	0.112872
"Clint Mathis"	0.112769
Reichel	0.110454
Gorter	0.105813
Hendrickson	0.104383
Andreychuk	0.104269
"Joe-Max Moore"	0.104138
Holik	0.100305
"Di Canio"	0.099521
Barrie	0.0978222
Laudrup	0.0976661
"Van Raaphorst"	0.0961848
Moreno	0.0957041
Zubov	0.0942731
Pederson	0.0937329
Niedermayer	0.0926156
Wadsworth	0.0919578
Grbac	0.0918704
"Fredrik Olausson"	0.0911454
Bergkamp	0.0877078
"Cobi Jones"	0.0859573
Ortega	0.0856376
Yzerman	0.0832263
Sykora	0.0830101
Verbeek	0.0826152
Rucchin	0.0819855
hermosillo	0.0809748
Laettner	0.0807754
Leetch	0.0802918
Kapono	0.0799648
Anelka	0.0797257
Baggio	0.0793567
Nedved	0.0788279
Sundin	0.0786282
Stumpel	0.0776605
Bullard	0.077658
Tkachuk	0.076713
Zeroual	0.0757014
Harkes	0.0756769
Basra	0.0747353
Recchi	0.0740967
Duchesne	0.0739664
Zidane	0.0735524
Strickland	0.0734764
Detmer	0.073433
Gilmour	0.07325
Preki	0.0730291
Zenga	0.0725727
Paus	0.0725354
Etcheverry	0.0724991
Collymore	0.0723362
Zambrano	0.0721774
McInnis	0.0721601
Woodson	0.0719458
Kovalev	0.07182
Cink	0.0717142
Fizer	0.0714564
Kariya	0.0712973
DeBerg	0.0711712
Bure	0.071049
Favre	0.0708903
Harbaugh	0.0705163
Herat	0.0703187
Huizenga	0.0701888
Limon	0.0701286
Kluivert	0.0700989
Chastain	0.0700768
Gogel	0.0700751
Sim	0.0698898
Laperriere	0.0696479
Bierhoff	0.0694265
Drury	0.0692686
Matvichuk	0.0687895
Azizah	0.0685418
Roenick	0.0684153
Berard	0.068349
Bratton	0.0683445
Lafleur	0.0682807
Pickens	0.0682191
Tete	0.0681381
Tverdovsky	0.0680966
Mathis	0.0680907
Najaf	0.0677981
Mcbride	0.0677568
Hurtado	0.0675558
CORYATT	0.0674235
Langham	0.0673942
Jagr	0.0672033
Maradona	0.067089
McCown	0.0667608
Fedorov	0.0665945
Norstrom	0.0665737
Mendez	0.0665135
Hoch	0.0663484
Batistuta	0.0662643
Godfrey	0.0662139
Hardaway	0.0661927
Beltran	0.0661395
"Brian Laudrup"	0.065861
"Luis Hernandez"	0.0654414
Mercer	0.0653064
McNair	0.0651395
Langenbrunner	0.0649237
Kamensky	0.0649086
Faulk	0.0648516
Graziani	0.0648415
Cirillo	0.0646804
Sharansky	0.0645255
McKenna	0.0644949
McCarty	0.0642619
Bourque	0.0642317
Galloway	0.0641574
Smolinski	0.0640899
Gillom	0.063941
Kukoc	0.0638096
"Carlos Hermosillo"	0.0636671
"Chiang Rai"	0.0636417
Calcavecchia	0.0636045
Savarese	0.0635848
Mikhailov	0.0633415
"Eddie Lewis"	0.063274
Plummer	0.0631079
WARRICK	0.0630077
Stoudamire	0.0628859
"Kristine Lilly"	0.0628665
Ricci	0.0628061
Pippig	0.0626831
Griese	0.0626471
Biggio	0.0625302
Plante	0.0624887
Ceballos	0.0623438
Valderrama	0.0623082
Campo	0.0621087
Horry	0.0619763
Sidon	0.061832
Tocchet	0.061831
Skiles	0.061827
Iverson	0.0618149
Weatherspoon	0.0618012
Wheatley	0.0617912
Majko	0.0617434
Strahan	0.0616609
Sutherland	0.0616527
"Frankie Hejduk"	0.0616431
Baerga	0.0615486
Nesby	0.0615246
Hasselbeck	0.0615138
Sturm	0.0615089
Constantinescu	0.0612007
Capel	0.0610375
Valenzuela	0.0610234
Schrempf	0.0609839
Sprewell	0.0608195
DeFrantz	0.0608095
Piccard	0.0607757
Bushehr	0.0607625
Garrett	0.0606406
Fraser	0.06061
"Mia Hamm"	0.0605232
Stricker	0.0604637
Jensen	0.0604612
"Robin Fraser"	0.0604386
Larkin	0.0603509
Swann	0.0603508
Sakic	0.0603193
"Surat Thani"	0.0600616
Aden	0.0600572
Heinze	0.060055
Serna	0.0600372
Redd	0.0598087
Woolley	0.0597747
Campos	0.0596361
Outzen	0.0595947
Velarde	0.0594798
Canseco	0.0594421
Cummings	0.0594268
Wynalda	0.0593997
Bryant	0.0593659
"Shannon MacMillan"	0.0593579
Neely	0.0593072
Conroy	0.0592966
ISSEL	0.0592694
"Dos Santos"	0.0591956
Galarraga	0.059108
Olajuwon	0.0590786
Olowokandi	0.0589391
Guillen	0.0588917
Alicea	0.0587496
"John Harkes"	0.0587309
Ikeda	0.0585905
Hakim	0.0585299
McIver	0.0584759
))
(Cigar (desc 33213.4) (sims
cigarette	0.177
Beer	0.115292
champagne	0.096551
liquor	0.0954841
tobacco	0.0947587
drink	0.0945706
"alcoholic beverage"	0.0934884
wine	0.0920927
vodka	0.0904969
coffee	0.0893509
Cognac	0.0875006
"soft drink"	0.0849133
rum	0.0818618
candy	0.0813844
booze	0.0799427
whisky	0.0796912
whiskey	0.0770115
jewelry	0.0752359
food	0.0751214
alcohol	0.0740624
pipe	0.0732505
snack	0.0720261
chocolate	0.0716548
tequila	0.0711341
candle	0.0709214
condom	0.0702172
shoe	0.0691531
"hot dog"	0.0689466
"ice cream"	0.0685795
tea	0.0684711
toy	0.068434
hat	0.0682162
beverage	0.067823
marijuana	0.0676354
cloth	0.0670251
handgun	0.0668827
perfume	0.0665037
gun	0.0664979
soda	0.0661267
bottle	0.0655617
pen	0.0647563
Marlboro	0.0645378
automobile	0.0642414
scotch	0.0635941
Clothing	0.0634659
sandwich	0.0634658
T-shirt	0.0632354
cosmetic	0.0629675
doughnut	0.0625436
brandy	0.0615748
toothpick	0.0614095
firework	0.0613353
"Skip Away"	0.0613162
garment	0.0604074
apparel	0.060181
furniture	0.059962
glass	0.0597395
flower	0.0594222
bag	0.0594108
shirt	0.0593969
yo-yo	0.0583772
sportswear	0.0581739
pizza	0.0579749
sunglasses	0.0577643
bourbon	0.0574566
meat	0.0570966
"pet food"	0.0570432
firearm	0.0569098
pistol	0.0566349
appliance	0.0565903
Martini	0.056293
sugar	0.0562347
doll	0.0562116
"consumer electronics"	0.0561662
cheese	0.056159
caviar	0.0560554
merchandise	0.0558821
"household appliance"	0.055603
Hamburger	0.0552476
smoke	0.0552404
"red wine"	0.0551802
cocaine	0.0549811
footwear	0.0548846
gasoline	0.0544918
bagel	0.0544161
hair	0.0543347
carpet	0.0542954
knife	0.0542682
seafood	0.0539846
goods	0.0536192
card	0.0536013
fruit	0.0535506
"prescription drug"	0.0533191
pretzel	0.0531093
cocktail	0.0525964
barbecue	0.052531
"home appliance"	0.052472
broom	0.0522669
pill	0.0520035
"tv set"	0.0519461
fish	0.0519459
cooky	0.0517074
antique	0.051704
sushi	0.0516933
music	0.0516803
trinket	0.0516706
souvenir	0.0516488
bread	0.0512232
cake	0.0512157
vitamin	0.0503578
"sparkling wine"	0.0503275
cereal	0.0502461
"food product"	0.0501315
diamond	0.0500569
jewellery	0.0500328
"consumer goods"	0.0499372
auto	0.0497241
tire	0.0496517
dessert	0.0496161
"personal computer"	0.0495159
towel	0.0493982
item	0.0493645
soap	0.049188
rifle	0.0490182
"Silver Charm"	0.0489336
"golf ball"	0.0489091
underwear	0.0488696
camera	0.0486931
chip	0.0486664
"baseball bat"	0.0486437
jean	0.0484824
coke	0.0483749
meal	0.0483449
pot	0.048146
"golf club"	0.048091
guitar	0.048091
"health food"	0.0478347
sneaker	0.0477462
"mineral water"	0.0476974
hardware	0.0474586
"building material"	0.047335
Motorcycle	0.0472942
gift	0.0472634
furnishings	0.0472605
ticket	0.0472502
firecracker	0.047187
noodle	0.047179
handkerchief	0.0471482
"cellular phone"	0.0471369
"candy bar"	0.0470977
box	0.047076
steak	0.0470381
Coin	0.0470352
pasta	0.0470231
pencil	0.046962
chicken	0.0469501
textile	0.0469225
"baseball card"	0.0467881
cappuccino	0.0467505
CD	0.0466227
VCD	0.0465843
sock	0.0464533
"potato chip"	0.046446
banana	0.0464374
grocery	0.0463749
cola	0.04637
gin	0.046292
pharmaceutical	0.0461798
"video game"	0.0461685
bicycle	0.0461636
timepiece	0.0461437
handbag	0.0460219
"dairy product"	0.045974
"frozen food"	0.0459709
"electronic equipment"	0.0459687
vegetable	0.0459636
viagra	0.0459052
"passenger car"	0.0458589
"chewing gum"	0.0457752
Coal	0.0456759
necktie	0.045652
electronics	0.045649
necklace	0.0456142
horse	0.0455455
cane	0.045544
pork	0.0453871
wig	0.045369
cup	0.0452879
cookie	0.0452853
helmet	0.0452701
flashlight	0.045261
camel	0.0452578
soup	0.0452382
shotgun	0.0452265
petrol	0.0451851
"piece of paper"	0.0451745
heroin	0.0450871
trophy	0.0450653
Hug	0.0450574
pastry	0.0449903
))
(cigarette (desc 70920.3) (sims
tobacco	0.214468
Cigar	0.177
liquor	0.155438
Beer	0.153946
alcohol	0.14758
"soft drink"	0.139273
goods	0.134635
food	0.132046
gasoline	0.130477
product	0.128987
"alcoholic beverage"	0.128053
drug	0.126973
marijuana	0.123081
drink	0.121873
coffee	0.119818
cocaine	0.116453
beverage	0.115725
tea	0.113144
heroin	0.111414
wine	0.110101
Clothing	0.109088
cosmetic	0.108995
foodstuff	0.108636
automobile	0.105616
garment	0.10311
gun	0.102249
soda	0.100764
"consumer goods"	0.100568
firearm	0.0999582
commodity	0.0985827
vodka	0.0982521
fuel	0.098134
candy	0.0977899
smoking	0.0974948
"prescription drug"	0.0974324
narcotic	0.0973548
fertilizer	0.0962372
item	0.0957873
appliance	0.0949544
jewelry	0.0948227
cereal	0.0937166
Marlboro	0.0935667
oil	0.0935135
sugar	0.092861
toy	0.092599
textile	0.0925684
"dairy product"	0.09251
milk	0.0920767
apparel	0.0917649
shoe	0.0914009
meat	0.0913272
"food product"	0.0910335
medicine	0.0908515
nicotine	0.0901687
handgun	0.0901616
pill	0.0897454
pharmaceutical	0.0893187
merchandise	0.0890296
condom	0.0890195
"motor vehicle"	0.088998
petrol	0.0887017
chemical	0.0881746
perfume	0.0875644
Coal	0.0872298
gas	0.0869693
"building material"	0.0866016
equipment	0.0860851
material	0.0859569
weapon	0.0857833
"household appliance"	0.0856504
"diesel oil"	0.0853921
steel	0.0848889
soap	0.0847445
brand	0.0845425
snack	0.0844615
footwear	0.0842941
car	0.0842223
candle	0.0840012
"mineral water"	0.0829316
petroleum	0.0829301
cloth	0.0822753
whiskey	0.0821464
furniture	0.0821265
bottle	0.0814313
diamond	0.0813964
vehicle	0.0812928
"crude oil"	0.0812728
vegetable	0.0810147
grain	0.0808545
chocolate	0.0807214
fruit	0.0805712
beef	0.0799732
smoke	0.0798178
auto	0.0788579
cement	0.0785949
pesticide	0.0783344
"ice cream"	0.0781636
machinery	0.0781546
newsprint	0.0781107
shampoo	0.0779027
CD	0.0778088
"tv set"	0.0775923
gambling	0.0773395
"raw material"	0.0772167
"home appliance"	0.0771812
tire	0.0770276
bread	0.0764843
caffeine	0.0763488
detergent	0.0753812
wheat	0.0750939
"natural gas"	0.0750609
ticket	0.0750198
"cooking oil"	0.0747078
"durable goods"	0.074665
electricity	0.0743024
"personal computer"	0.0736724
booze	0.0734111
pipe	0.0733145
diesel	0.0729618
"diesel fuel"	0.0729226
cracker	0.072763
cooky	0.0726998
egg	0.0725937
rice	0.0724885
"machine tool"	0.0720265
chip	0.0718404
coke	0.0716695
semiconductor	0.0713812
metal	0.0711596
timber	0.0711497
supplement	0.071062
fish	0.0708488
banana	0.0708247
container	0.0707021
"fruit juice"	0.070637
viagra	0.0704557
lubricant	0.0700525
import	0.0699053
meal	0.069871
cotton	0.0692573
biscuit	0.0691793
rubber	0.0691547
medication	0.0691435
water	0.0688485
champagne	0.068634
"chewing gum"	0.0686262
bag	0.0685421
diaper	0.0684306
"pet food"	0.0683585
Motorcycle	0.0682018
"passenger car"	0.0680211
maize	0.0679466
electronics	0.0679357
"orange juice"	0.0677736
"compact disc"	0.0676398
cheese	0.0676143
"potato chip"	0.0674193
"snack food"	0.0671438
explosive	0.0671239
Coin	0.0670506
vitamin	0.0670428
card	0.0666266
handicraft	0.0664945
phone	0.0663918
Computer	0.0659916
flower	0.0656447
"cellular phone"	0.0656101
VCDs	0.0652249
"hot dog"	0.0647842
grocery	0.0646996
pork	0.0646089
substance	0.0645891
poultry	0.0644956
device	0.0642756
battery	0.0642486
"spare part"	0.0641049
hardware	0.063853
"toilet paper"	0.0637955
money	0.0637483
carpet	0.0634565
lumber	0.0633591
asbestos	0.0633172
"consumer electronics"	0.0632748
machine	0.0631327
supply	0.0630986
"heating oil"	0.0628545
plastic	0.0628234
refrigerator	0.0627973
paint	0.0625944
arm	0.0625059
PC	0.0624898
paper	0.0622767
glass	0.0622476
box	0.0621369
"credit card"	0.0620767
truck	0.0619747
juice	0.0619573
tablet	0.0618531
whisky	0.0616574
rum	0.061594
))
("cigarette butt" (desc 3159.28) (sims
"beer can"	0.134512
wrapper	0.107215
debris	0.0814142
"soda can"	0.0811835
"beer bottle"	0.080748
casing	0.080449
"explosive device"	0.078306
"gasoline bomb"	0.0774436
firebomb	0.0749508
"water bottle"	0.0721974
shard	0.0717902
canister	0.0711763
Garbage	0.0702677
carcass	0.0691298
"paper cup"	0.0689708
syringe	0.0687659
"monkey wrench"	0.0679478
hubcap	0.067556
racquet	0.0640982
feces	0.0635506
"coffee cup"	0.0634938
"tennis ball"	0.062449
"Molotov cocktail"	0.0614504
stub	0.0593362
"hand grenade"	0.0587057
"petrol bomb"	0.0578018
hyphen	0.057461
"tin can"	0.0569944
arrowhead	0.055987
Grenade	0.055545
pebble	0.0554942
belonging	0.0552015
manure	0.0547645
"fishing line"	0.0544101
rubbish	0.0542105
kerosene	0.0541726
ember	0.0536694
"rolling pin"	0.053378
"slip of paper"	0.0525207
saucer	0.0518152
paintbrush	0.0518081
carton	0.0513364
screwdriver	0.0513157
denture	0.0512949
bomblets	0.0507023
vial	0.0499786
Tin	0.0497531
"pipe bomb"	0.0494931
sidearm	0.0489763
scissors	0.048563
projectile	0.0482391
"three pitchers"	0.0480257
shrapnel	0.0476282
"can opener"	0.0475432
acid	0.0473799
scraps	0.0471555
"trash can"	0.0468373
"fountain pen"	0.0467209
confetti	0.0465073
flask	0.0461024
firecracker	0.0457458
"book bag"	0.0455784
ax	0.0454795
"dollar bill"	0.0453853
"body part"	0.0451278
glassware	0.0449312
"rain shower"	0.044856
methamphetamines	0.0447888
fistful	0.0446609
glob	0.0442943
"screen pass"	0.0442929
sparkler	0.0442268
cannister	0.0440787
cartridge	0.0440396
brooch	0.0436445
"romaine lettuce"	0.0435905
foam	0.0435156
jug	0.0434616
lint	0.0434367
mountaintops	0.0428503
harpoon	0.0427547
"Hail Mary"	0.0422961
Stinger	0.0421481
"boarding pass"	0.0419719
opiate	0.0417781
hitchhiker	0.0416725
pamphlet	0.0413216
BB	0.0412416
biogas	0.041002
handkerchief	0.0409528
cob	0.0407881
rainwater	0.0406692
crate	0.0400419
))
("cigarette lighter" (desc 3653.74) (sims
lighter	0.155035
"oil lamp"	0.0900762
"coffee cup"	0.0853701
"kerosene lamp"	0.0822096
"petrol bomb"	0.0737159
"water bottle"	0.0722428
"baseball bat"	0.0689369
"fountain pen"	0.0669524
flashlight	0.0654839
"tennis shoe"	0.0646669
eraser	0.0638485
"paper cup"	0.0623651
chopstick	0.0619204
"fishing rod"	0.0596911
candle	0.0593576
"silver dollar"	0.0577969
Matchbox	0.0577373
"walking stick"	0.0569456
syringe	0.0565673
wastebasket	0.0564369
wristwatch	0.056133
"blue jean"	0.0555728
Thong	0.0555298
trinket	0.0551741
"teddy bear"	0.0545288
"golf ball"	0.0543058
pajama	0.0541187
firebomb	0.0540635
sunglasses	0.0540584
hosiery	0.0536636
"Molotov cocktail"	0.0535438
slingshot	0.053191
handbag	0.0528878
bracelet	0.0526229
toolbox	0.052461
"Beanie Babies"	0.0523614
"beer bottle"	0.0516478
pail	0.0516353
"gas tank"	0.0514908
visor	0.0514491
candelabra	0.0514288
"man's body"	0.0513596
"hearing aid"	0.0513394
"sewing machine"	0.0512682
"water jug"	0.0512493
"woman's body"	0.0511058
lantern	0.0505462
"catalytic converter"	0.0499983
jewellery	0.0494777
"beer can"	0.0492949
windscreen	0.0491195
"boxing glove"	0.0489181
"wedding ring"	0.0487349
medallion	0.0486975
"CD player"	0.0486649
"contact lense"	0.0484047
"fire hose"	0.048355
rosette	0.0481746
lawnmower	0.0480917
lamp	0.0480621
"hockey stick"	0.0480417
menorah	0.0479374
"military uniform"	0.0478157
coverall	0.0477231
cartridge	0.0476155
sparkler	0.0475452
stele	0.0475355
headset	0.0475156
pistol	0.0472077
revolver	0.0471087
carnation	0.047075
"running shoe"	0.0470373
"pocket watch"	0.0468805
eyeglass	0.0468681
streamer	0.0468583
"seat cushion"	0.0468506
photocopier	0.0467324
statuette	0.046562
backpack	0.0464337
"leather jacket"	0.0460613
tumbler	0.0459674
ashtray	0.045962
ornament	0.0458355
suture	0.0458085
petunia	0.0457918
brooch	0.0457205
contraband	0.0454858
"compact disc"	0.0452397
skateboard	0.0452297
Frisbee	0.045229
calculator	0.0451207
"grocery bag"	0.0450648
pompadour	0.0450201
"slide rule"	0.0449715
"tin can"	0.044962
briefcase	0.0448165
"telephone pole"	0.0448144
"Beanie Baby"	0.0445154
"dog tag"	0.0444867
"light bulb"	0.0442932
"tennis ball"	0.0441475
sandal	0.0440319
"ping-pong ball"	0.044002
boiler	0.0439841
"telephone booth"	0.0439779
"hunting knife"	0.0438384
"mink coat"	0.0437595
ignition	0.0437211
"ball bearing"	0.0436913
"cowboy boot"	0.0436507
"trading card"	0.0436265
"cassette tape"	0.0435987
Kleenex	0.043557
hubcap	0.0435168
racquet	0.0434776
"soccer ball"	0.0433791
"coffee mug"	0.0433791
wallet	0.0433566
slipper	0.0433238
"cellular phone"	0.0433206
"packing material"	0.043247
"sawed-off shotgun"	0.043237
winch	0.0431807
suitcase	0.0431167
ATX	0.0430934
jug	0.0430847
endoscope	0.0430439
"gas turbine"	0.043
chalice	0.0429752
knapsack	0.0429087
cutlery	0.0428828
"duffel bag"	0.0427892
goggles	0.0427579
PIERCINGS	0.0426733
headlight	0.042635
Snowmen	0.0425948
scissors	0.0425775
panty	0.0424868
"bathing suit"	0.0424143
"pipe bomb"	0.0423767
binocular	0.0423341
snowball	0.0422401
connector	0.0422285
webcams	0.0421443
sneaker	0.0420791
barrette	0.0420584
poinsettia	0.0420513
inhaler	0.0420325
"cash machine"	0.0420191
"automatic rifle"	0.0420113
"computer code"	0.0419757
"household appliance"	0.0418212
clipboard	0.0418201
umbrella	0.0416763
"street lamp"	0.0414436
Marlboro	0.041385
razor	0.0413825
"off-speed pitch"	0.0413452
firecracker	0.041325
"Ford Explorer"	0.0412406
toothbrush	0.0412363
typewriter	0.0412346
"rocket launcher"	0.0412152
"baseball cap"	0.041191
"book bag"	0.0411796
"evening bag"	0.0411638
analyzer	0.0410776
"postage stamp"	0.0409638
shredders	0.0409382
"chewing gum"	0.0406706
ac	0.0406235
"dollar bill"	0.0406028
topiary	0.0405025
mower	0.0403685
"Joe Camel"	0.0403675
"shopping bag"	0.0402873
"gasoline engine"	0.0402052
"steam turbine"	0.0401055
yo-yo	0.0400776
prosthesis	0.0400198
))
(Cigna (desc 3038.25) (sims
"United Healthcare"	0.273653
Humana	0.225483
Aetna	0.179564
"Aetna U.S. Healthcare"	0.177435
Pacificare	0.177358
"Blue Cross"	0.164048
WELLPOINT	0.160972
ING	0.14456
prudential	0.139792
"Kaiser Permanente"	0.138455
"Blue Shield"	0.116803
TYCO	0.112535
"Aetna Inc."	0.111366
AIG	0.101446
"State Farm"	0.100604
Kaiser	0.0996207
IDT	0.0945124
"American International Group"	0.0943318
TELLABS	0.0917783
Alltel	0.0917177
"Niagara Mohawk"	0.091365
Starwood	0.0909556
SmithKline	0.0899491
Litton	0.08943
Comcast	0.0884917
GANNETT	0.0872646
Penney	0.0841829
GEC	0.0838763
Hancock	0.0836473
Georgia-Pacific	0.083425
Overnite	0.0832316
Toysmart	0.0821655
SBC	0.0815505
"Ford Motor"	0.081209
ICI	0.0797926
Dana-Farber	0.0795826
UAM	0.0791251
Weyerhaeuser	0.0788017
BankAmerica	0.0785983
ENTERGY	0.0783907
Terra	0.0783564
Stratus	0.0780378
RJR	0.0779009
"Cadbury Schweppes"	0.0778845
"Bankers Trust"	0.0772202
Comsat	0.076892
NORTHROP	0.0764912
"Harvard Pilgrim Health Care"	0.0763405
Allstate	0.0762899
All-Tech	0.076032
Nikko	0.0758059
"Y&AMP;R"	0.0757457
GTE	0.0752292
Travelers	0.0741106
"Credit Suisse"	0.073925
Conrail	0.0738908
NatWest	0.0730237
KPN	0.073003
Federated	0.0729827
Lockheed	0.0726524
AHP	0.0721559
"First USA"	0.0721011
Delphi	0.0720063
MetLife	0.0718793
Pepsico	0.0717523
Equifax	0.0710626
Allianz	0.070716
AGL	0.0705051
"First Union"	0.0699079
"Con Edison"	0.0696815
Cargill	0.0695597
"Bell Atlantic"	0.0693554
Kroger	0.069271
Hasbro	0.0692407
SAS	0.068982
MindSpring	0.0687997
WorldCom	0.0687767
UBS	0.0687592
PolyGram	0.0684469
Citigroup	0.0683782
Cadbury	0.0682143
"Procter &AMP; Gamble Co."	0.0679526
HP	0.0676629
"Consolidated Edison"	0.067644
MCI	0.067109
"International Paper"	0.0669477
"National Grid"	0.0669373
"Dow Chemical"	0.0668883
AutoNation	0.0665651
Mattel	0.0659004
Aegon	0.0656507
"Washington Mutual"	0.0655199
Nabisco	0.0652666
"Southwestern Bell"	0.0652464
Akamai	0.0651599
"Southern Co."	0.0651576
Raytheon	0.0647843
Ingalls	0.0647597
Ameritech	0.0647451
"KCP&AMP;L"	0.0647146
"BP Amoco"	0.0646858
Wachovia	0.064683
McCaw	0.0645218
Schwab	0.0644615
Walmart	0.0641857
Kodak	0.0640985
DaimlerChrysler	0.0640212
Scientific-Atlanta	0.0638037
Sibneft	0.0636713
TCI	0.0636065
"Food Lion"	0.0633544
Mobil	0.0631873
BankBoston	0.0631731
PRIMESTAR	0.0631167
"Chase Manhattan"	0.0630761
Unilever	0.0630468
CVS	0.0629502
"Con Ed"	0.0625845
Airtouch	0.0624827
BellSouth	0.0624111
DMV	0.0623183
NCR	0.0621596
"Hong Kong Telecom"	0.0621548
"HBO &AMP; Co."	0.0619415
McKesson	0.0618192
XYLAN	0.0617338
"P&AMP;G"	0.0617114
"Sprint PCS"	0.0612446
"MCI WorldCom"	0.0612365
CUC	0.0611014
Netcom	0.0610505
"Adobe Systems"	0.0608881
Norwest	0.0608568
Seagram	0.0600249
PLDT	0.0599589
ARCO	0.059916
"Bank of America"	0.0599159
"Medicare HMO"	0.0599133
"Circuit City"	0.0597447
Unisys	0.0595538
Ge	0.0595365
Tropicana	0.0594723
"United Technologies"	0.059422
Goodrich	0.0591683
Alcoa	0.0591646
Duracell	0.0591149
CMG	0.0590335
VISTEON	0.0590326
CMGI	0.0588701
"Travelers Group"	0.0586997
AXA	0.0586757
Viacom	0.0585126
"Cable &AMP; Wireless"	0.0584044
healthcare	0.0583071
"Deutsche Telekom"	0.0581706
VW	0.0581575
UTC	0.058088
Salomon	0.0580757
Pitney	0.058074
"Dresdner Bank"	0.0579731
"Deutsche Bank"	0.0577284
"U.S. Trust"	0.0577065
"Johnson &AMP; Johnson"	0.0576821
Nortel	0.0576345
Associates	0.0576137
AMR	0.0575837
"Sara Lee"	0.0574654
Bridgestone	0.0574255
McGraw-Hill	0.0574047
"Exxon Mobil"	0.0572324
"Pacific Exchange"	0.0570673
"Phelps Dodge"	0.0570413
"Georgia Power"	0.0570123
CompuServe	0.0567799
Dupont	0.0562822
"USA Networks"	0.0561309
Motorola	0.0561183
"MCI Worldcom Inc."	0.0558758
Emery	0.055819
"True North"	0.0557995
Dell	0.0556537
Genzyme	0.0554576
Checkfree	0.0554468
Providian	0.0554161
Fedex	0.0552041
ExciteAtHome	0.0550611
"U S West"	0.0550153
DirecTV	0.0549587
"Department of Public Safety"	0.0547692
"U.S. Defense Department"	0.0547317
"Digital Equipment Corp."	0.0546676
CWA	0.0546464
Marconi	0.0546282
Caldor	0.0545849
"Time Warner"	0.0545046
Enron	0.0544808
Bestfoods	0.0544708
"Morgan Stanley"	0.054422
Eximbank	0.0541909
Westinghouse	0.0541589
))
(cilantro (desc 15227.7) (sims
parsley	0.47393
oregano	0.393748
"green onion"	0.387194
thyme	0.385714
tarragon	0.383867
Basil	0.382412
chive	0.37171
Garlic	0.338708
"lemon juice"	0.338632
mint	0.332349
scallion	0.3319
shallot	0.328481
dill	0.317434
marjoram	0.311168
onion	0.311148
chervil	0.299451
"red onion"	0.295558
"lime juice"	0.293682
"bell pepper"	0.292123
rosemary	0.285961
vinegar	0.278495
chilies	0.27848
ginger	0.269939
coriander	0.265549
pepper	0.261687
celery	0.256829
cumin	0.252977
"red pepper"	0.251288
"pine nut"	0.251106
jalapeno	0.249091
"olive oil"	0.249019
"chili powder"	0.248382
mustard	0.247025
"soy sauce"	0.246843
tomato	0.238501
"lemon zest"	0.237906
cucumber	0.236899
paprika	0.235983
chiles	0.233481
salt	0.229655
cayenne	0.226725
"green pepper"	0.226015
"bay leaf"	0.224353
"black pepper"	0.221849
lemongrass	0.220758
olive	0.219981
watercress	0.21918
fennel	0.217105
"Worcestershire sauce"	0.214447
"brown sugar"	0.214273
"sour cream"	0.208113
arugula	0.20542
herb	0.20161
cinnamon	0.201048
lemon	0.196758
"black olive"	0.195896
carrot	0.195274
sprig	0.19492
peppercorn	0.194896
lettuce	0.194344
raisin	0.192876
almond	0.192362
leek	0.192233
"garlic clove"	0.191247
lime	0.190837
"sesame oil"	0.190646
pecan	0.189877
"curry powder"	0.189364
cheese	0.187801
spinach	0.186479
nutmeg	0.186209
"orange zest"	0.185328
horseradish	0.185309
"garlic salt"	0.18471
"sesame seed"	0.184703
"tomato paste"	0.184269
"wine vinegar"	0.18397
caper	0.180824
walnut	0.179797
flake	0.178701
"cayenne pepper"	0.17862
clove	0.178243
Parmesan	0.177628
mayonnaise	0.177617
"hot pepper"	0.177358
"coconut milk"	0.175724
turmeric	0.173974
butter	0.172775
zucchini	0.172195
tomatillo	0.171815
Sage	0.170092
avocado	0.169491
mushroom	0.168893
sugar	0.168014
"peanut oil"	0.166765
cabbage	0.164743
seasoning	0.16447
"Swiss chard"	0.162516
Chili	0.162132
"cider vinegar"	0.160962
honey	0.160612
anchovy	0.160457
mango	0.159579
"tomato sauce"	0.159495
"bean sprout"	0.158718
"grated cheese"	0.157112
"mustard seed"	0.155044
crumb	0.154345
radish	0.153481
"macadamia nut"	0.152847
allspice	0.152799
cornstarch	0.152399
"cumin seed"	0.15147
coconut	0.151206
"orange peel"	0.150078
pineapple	0.150001
"chili pepper"	0.149255
"blue cheese"	0.148813
"goat cheese"	0.147826
"black bean"	0.147204
"heavy cream"	0.146556
"egg yolk"	0.146473
bacon	0.146356
molasses	0.146269
"fennel seed"	0.146099
"chicken broth"	0.145328
pesto	0.144498
chutney	0.14438
peanut	0.142734
raspberry	0.141998
sauce	0.141776
"orange juice"	0.141752
cornmeal	0.140869
yogurt	0.140526
"shiitake mushroom"	0.140026
"white wine"	0.139763
flour	0.139449
asparagus	0.139334
Sorrel	0.139324
sherry	0.139302
ketchup	0.138422
vanilla	0.138046
powder	0.137851
"white pepper"	0.137524
"pepper sauce"	0.136789
puree	0.136785
"whipping cream"	0.136462
buttermilk	0.136449
chard	0.135327
"seasoned salt"	0.13387
tahini	0.133566
eggplant	0.133074
ricotta	0.133024
"celery seed"	0.131936
"chili sauce"	0.131375
"hard-boiled egg"	0.131322
artichoke	0.130725
"hoisin sauce"	0.130207
"cherry tomato"	0.129634
"hot sauce"	0.129015
currant	0.128818
pea	0.128006
"baking powder"	0.127561
vinaigrette	0.127476
"green bean"	0.127059
paste	0.126974
"maple syrup"	0.126503
"Tabasco sauce"	0.126212
"coriander seed"	0.125888
leaf	0.125761
potato	0.125758
"vegetable oil"	0.125647
spice	0.124838
nut	0.124556
Broccoli	0.123953
pancetta	0.123883
"pineapple juice"	0.123603
"chicken stock"	0.123373
half-and-half	0.122409
Tabasco	0.122242
beet	0.121446
okra	0.121228
saffron	0.120498
shrimp	0.120252
breadcrumb	0.120126
cashew	0.119843
Chipotle	0.119465
juice	0.119448
salsa	0.119177
Tamarind	0.118182
hazelnut	0.117825
sprout	0.116066
cardamom	0.116052
"water chestnut"	0.115891
"vanilla extract"	0.115371
FETA	0.115134
"baking soda"	0.115079
prosciutto	0.114343
papaya	0.114115
pistachio	0.114107
corn	0.11315
cream	0.113051
fraiche	0.11245
"tomato juice"	0.111861
broth	0.1117
"Grand Marnier"	0.111669
"beef broth"	0.111321
"corn syrup"	0.11115
pickle	0.110191
zest	0.110038
"egg white"	0.109891
bean	0.109559
"whipped cream"	0.109036
"bok choy"	0.108095
ham	0.107765
egg	0.107469
"pumpkin seed"	0.107006
"peanut butter"	0.107004
Kale	0.106974
"red bell pepper"	0.106194
"green olive"	0.106054
strawberry	0.105944
"romaine lettuce"	0.105875
"lemon peel"	0.105066
pimento	0.104975
turnip	0.104855
vegetable	0.10459
slice	0.103845
mozzarella	0.103675
canola	0.102901
rum	0.102556
"orange marmalade"	0.101046
Or	0.100476
margarine	0.100325
))
(Ciller (desc 6267.82) (sims
Ecevit	0.216525
"Tansu Ciller"	0.187529
Yilmaz	0.178048
Pangalos	0.169341
Erbakan	0.164965
Simitis	0.160437
Kostov	0.152886
Weizman	0.140101
Cem	0.138894
Rifkind	0.138066
Stoyanov	0.136177
Sergeyev	0.134666
Ashrawi	0.133906
Denktash	0.133307
Demirel	0.133233
Velayati	0.130807
Aznar	0.130064
Gaddafi	0.129007
Orban	0.128753
"Mesut Yilmaz"	0.128691
"de Charette"	0.128174
Clerides	0.127443
"Necmettin Erbakan"	0.127021
Kasoulides	0.126738
Komura	0.125492
Nazarbayev	0.121792
Chavalit	0.119995
Shareh	0.119299
Kharrazi	0.118424
"Bulent Ecevit"	0.118369
Dehaene	0.117852
"Tariq Aziz"	0.117416
Aziz	0.117001
Chuan	0.116811
Granic	0.116698
Ganzouri	0.115794
Koirala	0.115577
Shipley	0.115415
Dini	0.115194
Lazarenko	0.114998
Camdessus	0.114934
Waigel	0.114654
"Salim Hoss"	0.114632
Erekat	0.114422
Schuessel	0.114282
"Igor Ivanov"	0.114106
Ivanov	0.113907
Solana	0.11374
Sharif	0.113066
Boueiz	0.113024
Phieu	0.112877
al-Sharaa	0.112841
al-Khatib	0.11239
al-Sahhaf	0.112081
Ahern	0.11201
Seleznyov	0.111913
Kinkel	0.111409
Bhutto	0.111257
Gujral	0.110878
Goh	0.110812
Lahoud	0.110321
Kumaratunga	0.109969
Nemtsov	0.109937
Scalfaro	0.109788
"Atal Behari Vajpayee"	0.109636
Qian	0.109489
"John Bruton"	0.10942
"David Levy"	0.109142
Mordechai	0.109087
Guterres	0.108722
Niyazov	0.108473
Kuchma	0.108446
Ruehe	0.108404
Zuma	0.108258
Santer	0.107542
Zeng	0.107536
Azad	0.107324
Nujoma	0.107224
Klestil	0.106997
Peres	0.106785
Markovic	0.10673
Rakhmonov	0.106699
"Atal Bihari Vajpayee"	0.106591
"Tang Jiaxuan"	0.106501
Surin	0.10639
"Atef Obeid"	0.105866
Peng	0.105859
Vajpayee	0.105745
Nzo	0.105548
Vasile	0.105417
Constantinescu	0.105352
Berisha	0.105294
"Than Shwe"	0.104991
Zhirinovsky	0.10483
Klima	0.104804
Ogata	0.104684
Khaddam	0.104566
Ciampi	0.104561
Khai	0.104445
Barshefsky	0.104375
Prodi	0.104321
Plavsic	0.104201
Sharaa	0.103944
Abdel-Meguid	0.103747
Hoss	0.103193
Alatas	0.10312
Sharansky	0.102911
Zeman	0.102862
Saleh	0.102617
Jovanovic	0.102565
"Ivan Kostov"	0.102057
Wolfensohn	0.102021
Deuba	0.101962
Moussa	0.101774
Nasrallah	0.10167
Akayev	0.101577
Hashimoto	0.101526
Vedrine	0.101239
Bildt	0.10111
Moratinos	0.100832
Ikeda	0.100763
Ikimi	0.100455
"Valery Pustovoitenko"	0.100188
"Yuri Maslyukov"	0.100187
Chiluba	0.0996731
al-Hariri	0.0996319
Primakov	0.0992707
Milutinovic	0.0992662
Rugova	0.0988009
Netanyahu	0.0982928
Advani	0.097962
Chirac	0.0979506
"Vo Van Kiet"	0.0975354
Fischer	0.0975334
Berri	0.0975166
Ahtisaari	0.0971747
Musharraf	0.0971023
"Yoshiro Mori"	0.0970765
Hrawi	0.0969804
Hariri	0.0967109
"John Major"	0.0966247
"Benjamin Netanyahu"	0.0964323
Kok	0.0964044
Azizah	0.0962398
Talbott	0.0962259
Arbour	0.096149
Leghari	0.0961356
Shevardnadze	0.0959436
Museveni	0.0958724
Sarid	0.0958008
"Jerzy Buzek"	0.095685
Boutros-Ghali	0.0955253
Mkapa	0.0953055
Bruton	0.095299
Chissano	0.0949815
Majali	0.09489
Maskhadov	0.0947091
"Lamberto Dini"	0.0946156
Tarrin	0.0945678
Menem	0.0944186
"Binyamin Netanyahu"	0.0943995
Kiriyenko	0.0942601
Iliescu	0.0941498
Wahid	0.0941194
"Igor Sergeyev"	0.0937059
Jia	0.0930807
Hasina	0.0928366
Rabbani	0.0928001
"Ismail Cem"	0.0927559
Banharn	0.0926797
"Phan Van Khai"	0.0925118
Mugabe	0.0924314
"Keizo Obuchi"	0.0924283
Bolger	0.0922582
Levitt	0.0922532
"Dos Santos"	0.0922072
Kohl	0.0920554
Luzhkov	0.0919867
al-Sahaf	0.0918115
Rodionov	0.0917863
Lukashenko	0.0917434
Stroyev	0.0917101
Brittan	0.0915907
Meles	0.0914818
"Meles Zenawi"	0.0913781
Yavlinsky	0.0908895
Mbeki	0.0907632
Zhu	0.0907477
Annan	0.0906317
Kulikov	0.0903943
Jayakumar	0.0900978
"Hun Sen"	0.0899408
Schroeder	0.0897343
Al-Sabah	0.0895225
Ishihara	0.0894208
"Viktor Chernomyrdin"	0.0893757
Kesri	0.0893038
Brahimi	0.0892968
Grasso	0.0891083
Slatkin	0.0890496
))
(cinch (desc 2625.06) (sims
shoo-in	0.114348
"piece of cake"	0.0765855
pushover	0.0647112
cakewalk	0.0622635
"one million US dollars"	0.0604169
no-brainer	0.0587974
"fall guy"	0.054464
"trading post"	0.0521275
"Ask Jeeves"	0.0515656
comedown	0.0512379
heartening	0.0503291
"waiting game"	0.0502797
"first pitcher"	0.0500901
baserunner	0.0491961
Auger	0.0487974
"battering ram"	0.0485243
"blank check"	0.0484593
well-positioned	0.04815
"foregone conclusion"	0.0480961
"tall order"	0.0480327
fief	0.047282
"Secretary General Boutros Boutros-Ghali"	0.0472163
no-show	0.0471955
Ringer	0.0468051
"over .@@@"	0.0464517
"day of reckoning"	0.0464004
"high time"	0.045887
win-win	0.0456887
malcontent	0.0454293
"magic bullet"	0.045415
"three million yuan"	0.0454093
copout	0.0450898
non-issue	0.0446513
easier	0.0442353
chaser	0.043921
wont	0.0438696
"morale booster"	0.0435494
"nearly @@@ million yuan"	0.0434277
geezer	0.043411
typo	0.0432658
gibberish	0.0430309
AWOL	0.0425074
"dry run"	0.0424347
"maintenance man"	0.0423813
"second person"	0.0422506
"tree stump"	0.0421101
"more than @@@ million US dollars"	0.042006
stuntman	0.0417702
"man's body"	0.0416622
smoother	0.0415059
"woman's body"	0.0414668
recluse	0.0411855
slouch	0.0411641
lovefest	0.0410278
"almost $@@@,@@@"	0.0409122
vote-getter	0.0408371
"frame of reference"	0.0407119
batboy	0.0406021
"million yuan"	0.0405086
nonentity	0.040501
"good person"	0.0402681
Darnell	0.0401334
"smoke screen"	0.040071
))
(Cincinnati (desc 64815) (sims
Pittsburgh	0.289544
Cleveland	0.279181
Milwaukee	0.277817
"San Diego"	0.275655
Detroit	0.274677
"St. Louis"	0.274475
Philadelphia	0.26437
Baltimore	0.263195
"Kansas City"	0.24755
Chicago	0.246887
Oakland	0.246652
Montreal	0.245724
"Tampa Bay"	0.244769
Toronto	0.241146
Seattle	0.239745
Denver	0.23786
Houston	0.237303
Dallas	0.232367
Atlanta	0.232011
Phoenix	0.223442
Miami	0.222689
"San Francisco"	0.222355
Boston	0.221736
Minnesota	0.219193
ANAHEIM	0.214151
"Green Bay"	0.213969
"New Orleans"	0.208253
Arizona	0.207609
Portland	0.206567
Buffalo	0.204691
Indianapolis	0.201834
"Chicago Cubs"	0.199172
Colorado	0.199152
"Los Angeles"	0.19683
Orlando	0.194945
Jacksonville	0.19457
Carolina	0.193593
"San Antonio"	0.191542
Vancouver	0.188608
Charlotte	0.18618
Sacramento	0.184561
Columbus	0.182689
Nashville	0.18145
"San Jose"	0.177172
"New York Mets"	0.175725
Tennessee	0.17006
"Cincinnati Reds"	0.1692
Mets	0.169188
Florida	0.168532
"Chicago White Sox"	0.166515
Edmonton	0.165067
"New York"	0.164778
Louisville	0.164274
Calgary	0.162572
Minneapolis	0.161985
Syracuse	0.161168
"New York Giants"	0.155717
Tampa	0.155226
Giants	0.153772
Memphis	0.153528
Indiana	0.152584
"New York Yankees"	0.151449
"New York Jets"	0.150838
"New Jersey"	0.14806
dodger	0.147001
Washington	0.145907
cub	0.145853
Texas	0.145743
"White Sox"	0.145452
Yankee	0.144818
"Oklahoma State"	0.144024
Purdue	0.143874
Ottawa	0.142686
"Florida State"	0.141293
"Los Angeles Dodgers"	0.14028
Phillies	0.140057
Utah	0.139803
"N.Y. Mets"	0.139113
Kentucky	0.138879
ASTROS	0.138713
"Ohio State"	0.137504
"Michigan State"	0.13663
"St. Louis Cardinals"	0.133842
"New England"	0.133128
brave	0.13289
UCLA	0.132351
LSU	0.131903
Hartford	0.131884
"Cleveland Indians"	0.131044
"Penn State"	0.130931
A's	0.130427
Richmond	0.130164
cardinal	0.129932
"Kansas State"	0.129644
"Atlanta Braves"	0.129461
ranger	0.128262
"Salt Lake City"	0.127249
"Red Sox"	0.127034
Michigan	0.12694
"blue jay"	0.12692
Padre	0.126481
Tucson	0.12638
Newark	0.125851
"Las Vegas"	0.125734
Arkansas	0.125614
Providence	0.125268
"Boston Red Sox"	0.124154
"Arizona State"	0.123338
Orioles	0.122227
Stanford	0.122192
"North Carolina"	0.122162
mariner	0.122075
Alabama	0.121665
"Golden State"	0.121099
"Notre Dame"	0.12083
diamondback	0.12076
"Los Angeles Lakers"	0.119912
USC	0.119774
"Houston Astros"	0.119607
Nebraska	0.119235
"Pittsburgh Pirates"	0.118536
"Detroit Tigers"	0.118534
Wisconsin	0.116481
Oregon	0.11619
marlin	0.116099
Auburn	0.115964
Oklahoma	0.115421
Austin	0.115005
Lakers	0.114866
Honolulu	0.11486
"Los Angeles Clippers"	0.114684
Rutgers	0.114131
"Arizona Diamondbacks"	0.113757
"Mississippi State"	0.113403
"Milwaukee Brewers"	0.113174
"Philadelphia Phillies"	0.112649
Tulsa	0.112638
"Florida Marlins"	0.112047
Albuquerque	0.111473
"San Diego Padres"	0.111214
"Oregon State"	0.111073
"San Francisco Giants"	0.110659
Bengals	0.110296
Kansas	0.110063
"Iowa State"	0.109859
"Montreal Expos"	0.109633
"West Virginia"	0.109501
"Southern California"	0.108871
"New York Islanders"	0.108588
"Colorado Rockies"	0.108354
Clemson	0.108072
"New York Rangers"	0.107791
Royals	0.107705
Toledo	0.1077
"devil ray"	0.107661
Duke	0.107503
"Baltimore Orioles"	0.107403
Albany	0.107115
clipper	0.106217
"Kansas City Royals"	0.105975
Connecticut	0.105844
Expo	0.105527
Virginia	0.105518
"Toronto Blue Jays"	0.105469
Birmingham	0.10505
Dayton	0.104777
"Washington State"	0.104677
"North Carolina State"	0.10434
"Georgia Tech"	0.104264
Maryland	0.104202
BEARS	0.104184
"Texas Rangers"	0.103876
red	0.103596
angel	0.103174
"Seattle Mariners"	0.102606
Georgia	0.10258
Eagles	0.102487
Iowa	0.102386
Raleigh	0.102109
"Fort Lauderdale"	0.101991
"New York City"	0.101819
"Minnesota Twins"	0.1018
Pepperdine	0.10174
L.A	0.101121
Rockies	0.100969
Knicks	0.100766
"Wake Forest"	0.100402
Omaha	0.100341
bruin	0.100327
"Minnesota Vikings"	0.100303
"Texas Tech"	0.100174
Sox	0.10015
Springfield	0.100096
Greenville	0.100083
Rochester	0.0998449
"Little Rock"	0.0996487
pirate	0.099079
"Fort Worth"	0.0989267
Akron	0.0986261
islander	0.0985877
))
("Cincinnati Bengals" (desc 4241.54) (sims
"Philadelphia Eagles"	0.268081
"Indianapolis Colts"	0.26009
"San Diego Chargers"	0.23813
"Kansas City Chiefs"	0.219369
Bengals	0.209971
"Washington Redskins"	0.204364
"ATLANTA FALCONS"	0.200981
"Denver Broncos"	0.198029
"Seattle Seahawks"	0.196219
"Oakland Raiders"	0.195117
"Buffalo Bills"	0.194411
"Dallas Cowboys"	0.192748
"Minnesota Vikings"	0.191699
"Miami Dolphins"	0.189017
"San Francisco @@ers"	0.188997
"New Orleans Saints"	0.185242
"Jacksonville Jaguars"	0.181824
"Arizona Cardinals"	0.18039
"Chicago Bears"	0.179819
"Pittsburgh Steelers"	0.176877
"Washington Wizards"	0.176344
"New England Patriots"	0.170467
"Tampa Bay Buccaneers"	0.170208
"New York Giants"	0.168713
"Cleveland Browns"	0.165357
"Green Bay Packers"	0.164491
"Carolina Panthers"	0.160144
"Detroit Lions"	0.159463
"Baltimore Ravens"	0.158594
"Charlotte Hornets"	0.152676
"Los Angeles Clippers"	0.151379
"New York Jets"	0.151023
"Dallas Mavericks"	0.149955
Seahawks	0.145108
Redskin	0.142051
"Tennessee Titans"	0.141026
"St. Louis Rams"	0.138556
"Chicago Blackhawks"	0.135281
"Atlanta Hawks"	0.13203
"Milwaukee Bucks"	0.129828
"Portland Trail Blazers"	0.129486
Eagles	0.129127
"Milwaukee Brewers"	0.128583
packer	0.125576
Steelers	0.122639
charger	0.120966
Raven	0.120834
"Golden State Warriors"	0.120624
BEARS	0.118577
bronco	0.117532
"New York Liberty"	0.116043
Giants	0.115999
"Detroit Pistons"	0.11585
"Calgary Flames"	0.114757
"Tampa Bay Devil Rays"	0.114744
"New Jersey Nets"	0.114077
"Boston Celtics"	0.113613
"Los Angeles Kings"	0.113459
"Chicago Bulls"	0.111194
falcon	0.110192
"Sacramento Kings"	0.11
"St. Louis Cardinals"	0.108982
"Nashville Predators"	0.108544
panther	0.108541
raider	0.107327
clipper	0.106257
"Los Angeles Rams"	0.10612
Timberwolves	0.105955
ram	0.10593
"Houston Rockets"	0.105773
"Phoenix Suns"	0.105667
"Houston Oilers"	0.10547
"Green Bay"	0.105075
piston	0.104835
Rutgers	0.104405
"Denver Nuggets"	0.104317
MetroStars	0.104103
"Los Angeles Lakers"	0.102906
Celtics	0.102674
"Florida Panthers"	0.101923
"Indiana Pacers"	0.101658
"Tar Heels"	0.10064
"Philadelphia Flyers"	0.100398
Viking	0.100008
"Tampa Bay Lightning"	0.098967
"New York Knicks"	0.0988844
"Vancouver Canucks"	0.0988169
Aggies	0.0986288
patriot	0.0984452
"Ottawa Senators"	0.0980688
"Mighty Ducks"	0.0979422
colt	0.0969408
"Miami Fusion"	0.0963721
"Houston Astros"	0.0962241
"Dallas Stars"	0.0958834
"Cincinnati Reds"	0.0954442
"Kansas City Royals"	0.095277
"Utah Jazz"	0.0947875
"Minnesota Timberwolves"	0.0947114
"Montreal Expos"	0.0944088
oiler	0.0943439
Starzz	0.0943399
"Montreal Canadiens"	0.0935677
Baylor	0.0933796
"Miami Heat"	0.0931874
"Detroit Red Wings"	0.093165
Gators	0.0929197
"New York Islanders"	0.0927633
maverick	0.0925645
Hornet	0.0924942
wildcat	0.092222
"Pittsburgh Penguins"	0.0918407
cowboy	0.0918167
"Tampa Bay"	0.0915585
"Baltimore Colts"	0.0911104
"Minnesota Twins"	0.0910504
Jaguar	0.0909753
dolphin	0.0909612
"Carolina Hurricanes"	0.0907132
ou	0.0904247
cardinal	0.0903238
Hawkeyes	0.0901867
"San Antonio Spurs"	0.089801
Carolina	0.089674
"Toronto Maple Leafs"	0.0896629
sixer	0.0893626
Sooners	0.0882602
"Maple Leafs"	0.0882187
Blackhawks	0.0880372
"Washington Capitals"	0.0879957
"Oregon State"	0.0876882
Trojan	0.0875702
"Crimson Tide"	0.0872964
cavalier	0.0872723
"Colorado Rockies"	0.0870139
"Cleveland Cavaliers"	0.0869929
"Oakland Athletics"	0.0866317
"Washington State"	0.0865028
"Appalachian State"	0.086437
"Chicago Cubs"	0.0863481
"Seton Hall"	0.0863195
"Orlando Magic"	0.0862886
Lakers	0.0861311
BUCCANEER	0.0859988
"Trail Blazers"	0.0859243
"Detroit Tigers"	0.0855687
"Vancouver Grizzlies"	0.08552
"Washington Senators"	0.0853981
"Cleveland Indians"	0.0853631
"New York-New Jersey MetroStars"	0.0853105
niner	0.0852895
Vanderbilt	0.0852862
Clemson	0.0851788
bulldog	0.0850592
"Seattle SuperSonics"	0.0848574
"Los Angeles Dodgers"	0.0848289
matador	0.0846606
"Montana State"	0.0845328
LSU	0.0843534
"New York Rangers"	0.0842399
"San Jose State"	0.0839818
"San Jose Sharks"	0.0833023
"Seattle Mariners"	0.0831348
"Baltimore Orioles"	0.0829873
"Los Angeles Galaxy"	0.0828866
"Virginia Tech"	0.0826327
"Colorado Avalanche"	0.0823344
Seminoles	0.0819108
islander	0.0812303
"Pittsburgh Pirates"	0.0809331
"Weber State"	0.0808399
"New York Yankees"	0.0804617
titan	0.0804439
"Toronto Raptors"	0.0804406
"Anaheim Mighty Ducks"	0.0803518
"Boston Red Sox"	0.0800015
Canadiens	0.0798122
"White Sox"	0.0796944
Canuck	0.0796924
"North Carolina State"	0.0796916
Purdue	0.0796859
"Arizona State"	0.0794585
Gonzaga	0.0792469
"blue jay"	0.0792161
diamondback	0.0790562
SMU	0.0788708
Inter	0.0787589
"New Jersey Devils"	0.0786398
"Edmonton Oilers"	0.0782006
Villanova	0.0781953
"Florida State"	0.078077
husky	0.0779843
"Texas Tech"	0.0779522
Orioles	0.0777896
UNLV	0.0773247
grizzly	0.0766284
"Buffalo Sabres"	0.0766181
"Texas Rangers"	0.0766167
bruin	0.0766049
"Anaheim Angels"	0.0765757
))
("Cincinnati Enquirer" (desc 1242.02) (sims
"Detroit News"	0.217433
"Denver Post"	0.203703
"Des Moines Register"	0.203005
Enquirer	0.201659
"San Antonio Express-News"	0.194212
"Village Voice"	0.192121
"Chicago Sun-Times"	0.187561
Haaretz	0.181979
Izvestia	0.176704
Star-Ledger	0.169584
Maariv	0.168773
"Dallas Morning News"	0.164635
"Chicago Tribune"	0.163427
"Miami Herald"	0.162158
"Austin American-Statesman"	0.155608
"San Jose Mercury News"	0.155055
"Boston Herald"	0.153583
"Radio Liberty"	0.151259
"United Press International"	0.147606
"Washington Times"	0.14613
"Hollywood Reporter"	0.145483
"San Francisco Examiner"	0.14526
"Palm Beach Post"	0.144908
"Philadelphia Inquirer"	0.143677
"Houston Chronicle"	0.141735
"New York Post"	0.14165
"National Journal"	0.134659
"San Francisco Chronicle"	0.132941
"New York Herald Tribune"	0.129852
"Fort Worth Star-Telegram"	0.12918
"New York Observer"	0.128269
"Kansas City Star"	0.128149
Oregonian	0.126721
"USA TODAY"	0.126649
"Arizona Republic"	0.126409
"Seattle Times"	0.12628
"New York Daily News"	0.126134
"Detroit Free Press"	0.126097
"National Post"	0.126079
"Atlanta Constitution"	0.125636
"Atlanta Journal-Constitution"	0.12557
Newsday	0.124704
Inquirer	0.124154
"Atlanta Journal"	0.123927
"Yomiuri Shimbun"	0.123552
"Cable News Network"	0.121591
"Moscow Times"	0.117557
Post-Intelligencer	0.116421
"Wall Street Journal"	0.114978
"Yediot Ahronot"	0.114969
"St. Louis Post-Dispatch"	0.114878
Star-Telegram	0.111887
Newsweek	0.111872
"Orange County Register"	0.110512
"Boston Globe"	0.109113
AHP	0.108473
"Washington Post"	0.108306
"Los Angeles Times"	0.106037
Tennessean	0.105103
"Evening Standard"	0.105055
"Sydney Morning Herald"	0.104742
"U.S. Labor Department"	0.103577
"Dayton Daily News"	0.10305
"Straits Times"	0.102229
"Advertising Age"	0.100748
"New York Times Magazine"	0.100506
"Daily Telegraph"	0.100395
Salon.com	0.0992756
"Asahi Shimbun"	0.096334
"Rolling Stone"	0.09581
Reforma	0.0939788
Hurriyet	0.0930253
"Business Times"	0.0926552
"New Straits Times"	0.0923001
"Hartford Courant"	0.0918281
"El Pais"	0.0916428
"Post Express"	0.0913263
"NBC News"	0.0912773
"Cendant Corp."	0.0906549
Kommersant	0.0905398
Gunmakers	0.0905097
"El Mundo"	0.0902312
"New Republic"	0.0898588
"Ethiopian Herald"	0.0897959
"British Broadcasting Corp."	0.0896907
"Jerusalem Post"	0.0896276
Noticias	0.0896093
"Nihon Keizai"	0.0886663
Sowetan	0.0875558
Ishihara	0.0874457
"Daily News"	0.0862681
"Tehran Times"	0.0861737
APA	0.0860853
"Financial Times"	0.0853639
"Der Spiegel"	0.0851099
"Al Ahram"	0.084713
drudge	0.0846487
telegraph	0.0843981
"TV guide"	0.0834012
Bild	0.0828997
MTI	0.0822144
"ABC News"	0.081328
Notimex	0.0807256
GANNETT	0.0806288
"Knight Ridder"	0.0805894
"Seattle Post-Intelligencer"	0.0803331
"Nihon Keizai Shimbun"	0.0795576
"Iran News"	0.079166
"Bloomberg News"	0.0786352
Asahi	0.0784926
Al-Ahram	0.0783354
"Sears, Roebuck &AMP; Co."	0.0780452
Kerasiotes	0.0776369
Isikoff	0.0775851
"New Nigerian"	0.0772886
Granma	0.0770232
"Jenny Jones Show"	0.0770213
"Fox Sports News"	0.0763845
Lusa	0.0763413
"Sporting News"	0.0761275
"Columbia Pictures"	0.0757862
Reuters	0.0750874
"The Monitor"	0.0749932
Tass	0.0747519
meatpackers	0.0737893
"Publishers Clearing House"	0.0737281
"World Report"	0.0737007
TheStreet.com	0.0735871
"Sports Illustrated"	0.0735704
"Voice of America"	0.07303
"Le Figaro"	0.0729448
Gosper	0.0727021
"Golf Channel"	0.0726691
"New York Times Co."	0.0726378
"National Enquirer"	0.0724927
"Bankers Trust Corp."	0.0721453
IRNA	0.0716019
L'Equipe	0.0715591
Salam	0.0712071
"UBS AG"	0.0711642
al-Hayat	0.0707513
"National Association of Realtors"	0.0707259
Malaya	0.0706389
"Philip Morris Cos."	0.0703336
tribune	0.070108
"South China Morning Post"	0.0700947
"Daily Nation"	0.0699229
"Koch Industries"	0.0696781
Haskins	0.0692897
"Department of Public Safety"	0.0691537
DiCarlo	0.0691171
"Indonesian Observer"	0.0688448
"Le Monde"	0.068616
"Egyptian Middle East News Agency"	0.068058
"Daily Times"	0.0675153
HHS	0.067436
pi	0.0668083
"Ask Jeeves"	0.0663006
"New Jersey State Police"	0.0662682
"Chase Manhattan Corp."	0.0661479
"U.S. Commerce Department"	0.065879
Odwalla	0.065628
"Daily Star"	0.0656089
"Cyprus News Agency"	0.0655902
"Cox Newspapers"	0.0654077
Esquire	0.0653592
"American Family Publishers"	0.0652252
"Korean Central News Agency"	0.065058
Sera	0.0648622
"Free Press"	0.0648328
"Business Day"	0.0648225
"tabloid newspaper"	0.0646796
"Egyptian Gazette"	0.0643212
"Business Week"	0.0639068
Ummi	0.0638066
"U.S. News"	0.0637945
"Xinhua News Agency"	0.0637535
Politika	0.0637487
"W.R. Grace"	0.0633793
"Jakarta Post"	0.0633758
gazette	0.0632018
BBC	0.0630129
Spector	0.0629105
spammers	0.0629032
"Al Fayed"	0.062867
NTV	0.0626295
"Guangming Daily"	0.0625654
WAM	0.0625551
"Joint Liaison Group"	0.0624425
Maharaj	0.0624089
Villar	0.0623554
"Dow Jones &AMP; Co."	0.06233
"Prudential Insurance Co."	0.0619748
"Chevron Corp."	0.0616878
Televisa	0.0616206
"Dow Jones"	0.0616201
"Al Hayat"	0.0614601
"Alam Al Yom"	0.0613938
"Beijing Youth Daily"	0.0612064
Antara	0.0611635
))
("Cincinnati Reds" (desc 17465.7) (sims
"Milwaukee Brewers"	0.277471
"Cleveland Indians"	0.275608
"San Francisco Giants"	0.274816
"Houston Astros"	0.274672
"Pittsburgh Pirates"	0.271988
"Baltimore Orioles"	0.267663
"St. Louis Cardinals"	0.267529
"New York Mets"	0.266801
"Chicago Cubs"	0.2664
"Los Angeles Dodgers"	0.26364
"San Diego Padres"	0.261202
"Colorado Rockies"	0.259317
"Atlanta Braves"	0.258425
"Detroit Tigers"	0.256949
"Boston Red Sox"	0.249947
"Oakland Athletics"	0.245837
"Philadelphia Phillies"	0.243525
"New York Yankees"	0.2432
"Kansas City Royals"	0.242166
"Toronto Blue Jays"	0.239055
"Texas Rangers"	0.234562
"Florida Marlins"	0.233566
"Arizona Diamondbacks"	0.229987
"Anaheim Angels"	0.228182
"Chicago White Sox"	0.227098
"Montreal Expos"	0.226636
"Seattle Mariners"	0.223235
"Minnesota Twins"	0.217804
"Tampa Bay Devil Rays"	0.207989
Mets	0.19346
"White Sox"	0.185426
"blue jay"	0.184551
Orioles	0.181619
A's	0.178216
cub	0.171999
Cincinnati	0.1692
Padre	0.168213
dodger	0.167683
"Red Sox"	0.165263
ASTROS	0.165029
"Washington Redskins"	0.16192
Phillies	0.161018
Yankee	0.159876
brave	0.158862
"New York Giants"	0.155035
marlin	0.15493
Giants	0.154635
diamondback	0.151701
"devil ray"	0.148514
"Montreal Canadiens"	0.145664
mariner	0.143003
"Los Angeles Lakers"	0.142966
"California Angels"	0.139855
Expo	0.13842
"Calgary Flames"	0.137593
red	0.136712
Royals	0.134201
ranger	0.133961
"Carolina Hurricanes"	0.133913
"Edmonton Oilers"	0.13346
"Detroit Red Wings"	0.132823
"Atlanta Hawks"	0.132691
"New York Islanders"	0.132362
"Brooklyn Dodgers"	0.130685
"Golden State Warriors"	0.130405
Rockies	0.129233
Cleveland	0.127951
cardinal	0.127867
"Chicago Bulls"	0.12758
"Detroit Pistons"	0.126706
"Florida Panthers"	0.125936
"Washington Capitals"	0.125539
Sox	0.125319
"Green Bay Packers"	0.124469
"Utah Jazz"	0.124429
brewer	0.12427
"Boston Celtics"	0.123932
"New York Knicks"	0.123233
"Ottawa Senators"	0.121182
"Dallas Cowboys"	0.12095
"San Antonio Spurs"	0.120672
angel	0.120668
Oakland	0.120499
"Houston Rockets"	0.119902
"Phoenix Suns"	0.119562
"Tampa Bay"	0.119026
"Washington Wizards"	0.118872
"Indianapolis Colts"	0.117726
"Los Angeles Clippers"	0.117671
Canadiens	0.117497
"Los Angeles Kings"	0.117275
"San Francisco @@ers"	0.117192
"Minnesota Vikings"	0.117165
pirate	0.116874
"Miami Dolphins"	0.11671
"Philadelphia Flyers"	0.116476
"New York Rangers"	0.116338
"New York Jets"	0.115526
"New Jersey Nets"	0.115173
"Arizona Cardinals"	0.114999
"Sacramento Kings"	0.114872
"Tampa Bay Lightning"	0.1145
"Miami Heat"	0.114386
"Toronto Maple Leafs"	0.113713
Celtics	0.11368
"Chicago Bears"	0.112584
"Dallas Mavericks"	0.112569
"San Diego Chargers"	0.112347
"Oakland Raiders"	0.112259
"San Jose Sharks"	0.112066
"New England Patriots"	0.111685
"Dallas Stars"	0.111341
"Pittsburgh Penguins"	0.110911
"Minnesota Timberwolves"	0.110288
Canuck	0.109098
"Chicago Blackhawks"	0.108906
"Indiana Pacers"	0.108827
"St. Louis Rams"	0.108272
ANAHEIM	0.107852
Lakers	0.107621
"Red Wings"	0.107509
Toronto	0.107167
Milwaukee	0.106917
"Kansas City Chiefs"	0.106839
oiler	0.106739
"Seattle Seahawks"	0.106431
Baltimore	0.106097
"San Diego"	0.105571
"Pittsburgh Steelers"	0.105555
"Vancouver Canucks"	0.1053
"Boston Bruins"	0.105164
"Cleveland Browns"	0.104354
"Washington Senators"	0.104305
"Buffalo Sabres"	0.104243
Pittsburgh	0.104152
"ATLANTA FALCONS"	0.103077
Montreal	0.103023
"Denver Broncos"	0.102762
Indian	0.102637
"Portland Trail Blazers"	0.101992
"Carolina Panthers"	0.101933
"New Orleans Saints"	0.1016
"Philadelphia Eagles"	0.101494
"Colorado Avalanche"	0.101084
"Vancouver Grizzlies"	0.100832
"New Jersey Devils"	0.100576
"Maple Leafs"	0.100442
"St. Louis"	0.0996209
Redskin	0.0994628
Knicks	0.0993793
Seahawks	0.0993736
piston	0.0990953
clipper	0.09883
"Charlotte Hornets"	0.0985819
"Denver Nuggets"	0.0976496
"St. Louis Blues"	0.0969445
"Toronto Raptors"	0.0967516
"Miami Fusion"	0.0964317
"Phoenix Coyotes"	0.0958952
"Los Angeles Rams"	0.0956914
"Milwaukee Bucks"	0.0955375
maverick	0.0954768
"D.C. United"	0.0954586
"Cincinnati Bengals"	0.0954442
"Orlando Magic"	0.0948154
"Dallas Burn"	0.0945643
islander	0.0942784
"Tennessee Titans"	0.0938107
"Seattle SuperSonics"	0.0936615
"Mighty Ducks"	0.0930662
"Baltimore Ravens"	0.0929783
Blackhawks	0.0926457
"Tampa Bay Buccaneers"	0.0925864
Seattle	0.0924316
BEARS	0.092184
pacer	0.0920529
Detroit	0.0916818
Houston	0.0909128
Colorado	0.090801
MetroStars	0.0906426
"Chicago Fire"	0.0902833
Steelers	0.090266
Edmonton	0.0897912
"Kansas City"	0.0892453
Eagles	0.0884986
"Golden State"	0.0882671
sabre	0.0879943
cowboy	0.0877395
"Nashville Predators"	0.0877091
Bengals	0.0872682
tiger	0.0871599
panther	0.0868798
"Detroit Lions"	0.0864273
"Buffalo Bills"	0.0859
Timberwolves	0.0858491
twin	0.0857129
flyer	0.0856746
"New York Liberty"	0.0849486
bronco	0.084752
"Big Red Machine"	0.0846962
))
(cinder (desc 2120.53) (sims
ash	0.105001
ember	0.10344
soot	0.092001
lava	0.0913575
slag	0.0787365
sulfur	0.0781821
gravel	0.0753202
basalt	0.0727459
Belacevac	0.0704907
"sulfur dioxide"	0.0675885
talc	0.0665157
grime	0.0646133
"water vapor"	0.0643085
slush	0.0629825
bile	0.0597828
mush	0.0574064
vapor	0.0547807
"rare earth"	0.0545154
vermiculite	0.0542724
Zonolite	0.0542279
"cinder block"	0.0517783
plasterboard	0.047499
phosphate	0.0469763
styrofoam	0.0463602
"pig iron"	0.0455942
"petrol bomb"	0.0452603
worn	0.0451548
briquette	0.0447784
Ellipse	0.0446533
"hydrogen sulfide"	0.044204
dioxide	0.0441402
"nitrogen oxide"	0.0428672
pollen	0.0423001
ore	0.042175
"carbon monoxide"	0.0420462
gunk	0.0416669
licking	0.0412535
magma	0.0411475
"gas plant"	0.0407447
deadend	0.0407242
curvy	0.0403632
pebble	0.0403384
))
("cinder block" (desc 2249.39) (sims
stucco	0.172674
oceanfront	0.131432
clapboard	0.131221
two-story	0.123991
sheetrock	0.113914
drywall	0.0975412
rebuilt	0.0942118
brick	0.0874296
beachfront	0.0855263
styrofoam	0.0846963
adobe	0.0833236
marble	0.0826406
sandstone	0.0818089
wallboard	0.0798955
lakefront	0.0797742
limestone	0.0783959
"Queen Anne"	0.0754724
"Greek Revival"	0.0753023
lakeside	0.0734491
granite	0.0709357
thatch	0.0708801
shingle	0.0700152
Plexiglas	0.0681155
"small white"	0.0679126
plasterboard	0.0661891
"bricks and mortar"	0.0640576
gingerbread	0.0638781
"sheet metal"	0.0632284
multilevel	0.0622801
sandbag	0.0622082
townhouses	0.0575394
gothic	0.0575196
"terra cotta"	0.057485
Igloo	0.0562783
beachside	0.05354
Plywood	0.0533184
Tudor	0.052913
laminate	0.0529114
shredder	0.0525197
gravel	0.0524069
"beer bottle"	0.0519641
honeycomb	0.0518622
cinder	0.0517783
truss	0.0517517
Quay	0.0515407
"wedding cake"	0.051521
"Hollywood Hills"	0.0514044
"building product"	0.0513028
Burnt	0.0511633
curvy	0.0503271
"Empire State"	0.0498466
barbell	0.0497897
ivy	0.0497604
brownstone	0.0492027
"stainless steel"	0.0486809
scaffolding	0.0485759
karaoke	0.0482524
"close to @,@@@"	0.0482233
pallet	0.0478998
"Century City"	0.0466324
bulkhead	0.0465111
tenement	0.0463391
"Internal Affairs"	0.0463238
"more than @@@ pounds"	0.0454639
"art deco"	0.0449303
linoleum	0.0448212
"Mill Valley"	0.0445321
Tarrytown	0.0438944
townhouse	0.0437571
grout	0.0436236
"Conde Nast"	0.0435103
fortification	0.043439
"Park Avenue"	0.0433378
spec	0.043285
DSE	0.0432769
"Gaza City"	0.0432737
Acadian	0.0430088
"wine bottle"	0.0427072
"South Shore"	0.0425621
fiberglass	0.0418005
"Studio City"	0.0415236
basalt	0.0414881
Deco	0.041488
absinthe	0.0413475
riverfront	0.0410212
seascape	0.0408933
Brentwood	0.0407858
"Lake Worth"	0.0406858
"Thousand Oaks"	0.0406838
"about @@@ to @@@"	0.0403948
))
(Cinderella (desc 8900.07) (sims
Pinocchio	0.105986
"Swan Lake"	0.0865282
"Snow White"	0.074566
Dorothy	0.0680342
Frankenstein	0.0669745
"Peter Pan"	0.0668968
"sleeping beauty"	0.0666066
"Don Quixote"	0.0658136
Dracula	0.0637671
Superman	0.0632979
Tarzan	0.0616298
storybook	0.0585729
Alice	0.0575027
Giselle	0.0560322
Nutcracker	0.0559041
"Lion King"	0.0556399
Romeo	0.0550144
carousel	0.0548788
"Toy Story"	0.0541802
Fantasia	0.053658
preachy	0.0535972
"guardian angel"	0.0530344
Medea	0.0528564
Bambi	0.0521764
"Christmas carol"	0.0499287
Othello	0.0498395
Oedipus	0.0486842
Monkees	0.0478508
Evita	0.047303
Mulan	0.0471804
witch	0.0456239
"King Arthur"	0.0454854
"King Lear"	0.0454605
"Twelfth Night"	0.0442629
Hunchback	0.0441902
Aida	0.0441892
wimp	0.0441414
Antz	0.0439955
fairytale	0.0436853
Orpheus	0.0436778
"Don Giovanni"	0.0418017
Annie	0.0417899
"Star Trek"	0.0416844
"Robin Hood"	0.0416751
Chekhov	0.0414355
Batman	0.0411775
Iceman	0.0411729
Hokey	0.0411424
"James Bond"	0.0408029
"Peony Pavilion"	0.0407021
godfather	0.040385
Winnie	0.0403738
Footloose	0.0401914
nerd	0.0401302
))
(Cindy (desc 5478.92) (sims
"Azizah Ismail"	0.184251
Patricia	0.158639
Lynne	0.157732
Pam	0.155082
Susan	0.152923
Tracey	0.152877
Eileen	0.152537
Brenda	0.151822
Kristin	0.149954
Carolyn	0.13955
Cathy	0.136668
Doris	0.135809
Olga	0.135092
Christine	0.135046
Judy	0.134293
Suzanne	0.133467
Barbara	0.133227
Beverly	0.132487
Michele	0.131697
Diane	0.131327
Josephine	0.131176
Kathy	0.130406
Elaine	0.1302
Hadassah	0.129265
Janet	0.128928
Cheryl	0.128846
Deborah	0.127711
Stephanie	0.127675
Donna	0.127672
Sonia	0.126029
Laura	0.126018
Cherie	0.124738
Maureen	0.123518
alicia	0.123402
Margaret	0.122777
Helen	0.122558
Edith	0.121963
Annie	0.121728
Sara	0.120826
Melinda	0.120547
Evelyn	0.11948
Debbie	0.119442
Linda	0.118941
Carol	0.118697
Monique	0.117505
Kathleen	0.116834
Julie	0.116398
Karen	0.115901
Rita	0.115375
Marlene	0.114793
Janice	0.11456
JoAnne	0.11431
Jacqueline	0.114113
Juanita	0.114094
Nicole	0.113288
Connie	0.113106
Heidi	0.113046
Shirley	0.112757
"Arizona Republican"	0.111944
Denise	0.111491
Terri	0.111142
Vicki	0.111058
Nancy	0.110844
Tipper	0.110778
ANN	0.110499
Lori	0.110393
Lois	0.110306
Audrey	0.110226
Lisa	0.109891
Patti	0.109535
Pauline	0.109235
Marianne	0.108749
Beth	0.108482
Andrea	0.108264
Miriam	0.108193
Valerie	0.108029
Frances	0.107974
Debra	0.107974
Rhonda	0.107664
Tina	0.107458
Marilyn	0.107448
"Carolyn Bessette Kennedy"	0.107157
Polly	0.106559
Vera	0.106436
Olivia	0.106168
Alexandra	0.105251
Marian	0.104802
Michelle	0.104382
Dorothy	0.104376
Theresa	0.104293
Marta	0.104044
Kathryn	0.103369
Jamie	0.103219
Roberta	0.102567
Jeanne	0.102552
Betty	0.101907
Brooke	0.101417
Jennifer	0.101305
Emily	0.100974
Peggy	0.100713
Phyllis	0.100416
Liz	0.100182
Renee	0.100129
"Graca Machel"	0.100076
Esther	0.0994974
Sandra	0.0990979
"Leigh Ann"	0.0982525
Cynthia	0.0978486
"Queen Noor"	0.0977917
Camille	0.097517
"Wang Yeping"	0.0974656
Sarah	0.0972994
Teresa	0.0972438
Amy	0.0971694
Katherine	0.0965502
Sheryl	0.0963727
Eleanor	0.0960327
Lydia	0.0955656
Ashley	0.0946291
Caroline	0.0944034
Ellen	0.0942918
Sally	0.0935079
Marie	0.093359
Kimberly	0.0930837
Martha	0.0930421
Erica	0.09276
Claire	0.0925933
Jill	0.0924089
Naomi	0.0920945
Irina	0.0917792
gloria	0.0915248
Millie	0.0912352
Nina	0.09119
Robin	0.0911296
Clara	0.0909957
Jane	0.0908782
Donnie	0.0908749
Lynn	0.0904858
Sylvia	0.0904046
Rebecca	0.0903371
Dolores	0.0899821
Paulina	0.0899496
"Patsy Ramsey"	0.0896148
Betsy	0.0894413
"Zhu Lin"	0.0892872
Sheila	0.0891342
Laurie	0.0889516
Nora	0.0888871
Ethel	0.0888703
Maria	0.0876367
Louise	0.0866676
Kate	0.0866462
Elena	0.0852287
Pamela	0.0846446
Tammy	0.0845891
sandy	0.0844204
Nikki	0.0842529
Mary	0.0841505
Alice	0.0838822
becky	0.0836629
Melanie	0.0836029
Claudia	0.0835685
Leah	0.0834223
Agnes	0.0832672
Winnie	0.0831854
Marcia	0.0831462
Anne	0.0829953
Lucia	0.0828739
Sharon	0.0827749
Natalie	0.0824292
Susie	0.0822485
hazel	0.0817646
colleen	0.0816427
Eva	0.0815334
patsy	0.0815207
Angela	0.0807459
Anita	0.0804182
Julia	0.0802477
Lucille	0.0799109
Joan	0.0796371
Jenny	0.0796348
Terry	0.0795992
Stacy	0.0795168
Rachel	0.0793345
Joyce	0.0791619
Judith	0.0791546
"Laura Bush"	0.0791437
Elizabeth	0.0790664
Beatrice	0.0786674
Paula	0.0784068
Annette	0.0783322
Norma	0.0782667
anna	0.0781467
Christina	0.077972
Gina	0.0779509
"Lauren Bessette"	0.0779004
Stella	0.0771177
R-Ariz.	0.0763294
Meg	0.0762083
"Barbara Bush"	0.0755875
))
("Cindy Crawford" (desc 2896.08) (sims
"Naomi Campbell"	0.233741
"Claudia Schiffer"	0.214469
"Tyra Banks"	0.158278
"Kate Moss"	0.117595
"Heather Locklear"	0.0937829
RuPaul	0.0895413
"Barbra Streisand"	0.0803393
"Jennifer Lopez"	0.0730269
"Britney Spears"	0.0716984
"Ricky Martin"	0.0673379
Shriver	0.066967
"Nicole Kidman"	0.0661951
"Alanis Morissette"	0.0648326
"Garth Brooks"	0.0633954
"Tom Cruise"	0.0633268
"Danny Glover"	0.0608281
"Bruce Willis"	0.0603702
Cher	0.0601765
"Andrea Bocelli"	0.0592981
"Harrison Ford"	0.0585724
"Mariah Carey"	0.0584478
"Gwyneth Paltrow"	0.058178
"Toni Braxton"	0.0580681
"Laura Bush"	0.057392
"Dixie Chicks"	0.0553332
"William Shatner"	0.0550554
"important person"	0.0542194
"Julia Roberts"	0.0540754
"John Travolta"	0.0538835
"Robert Downey Jr."	0.0523898
"Jack Nicholson"	0.0522395
"Red Hot Chili Peppers"	0.0519338
"Howard Stern"	0.0515104
"Brooke Shields"	0.0513788
"Elvis Costello"	0.050711
Maurizi	0.0505443
"Aretha Franklin"	0.0504299
"white person"	0.0504289
Madonna	0.049925
quickest	0.0492601
Beatrice	0.0490976
"LeAnn Rimes"	0.0485863
"Spike Lee"	0.0485084
Eminem	0.0483988
Potapenko	0.0483341
look-alikes	0.048334
supermodels	0.0483334
"Michael Douglas"	0.0481014
"Oprah Winfrey"	0.0480098
"Brad Pitt"	0.0479585
"Mel Brooks"	0.0478977
"Jeff Goldblum"	0.0477633
"Mark Wahlberg"	0.0476345
"Giorgio Armani"	0.047498
Bono	0.0472804
"John Goodman"	0.0471614
"Salma Hayek"	0.0468678
"Quincy Jones"	0.046637
"N Sync"	0.0464299
"Lynne Cheney"	0.0462861
"Janet Jackson"	0.0462584
"Diana Ross"	0.0461737
Irina	0.0460712
"Spice Girls"	0.0460595
"Rupert Everett"	0.0457393
supermodel	0.0456685
"Willie Nelson"	0.0454781
"Phil Collins"	0.0454581
"Maya Angelou"	0.0453598
Hirst	0.0451134
"good person"	0.0449152
"Paul Reiser"	0.0448842
"Kevin Costner"	0.044872
nude	0.0446373
"Drew Carey"	0.0444388
"Rosie O'Donnell"	0.0444146
"undercover agent"	0.0443674
"Whitney Houston"	0.0443257
"GLORIA ESTEFAN"	0.0442814
"Sheryl Crow"	0.0441092
worrier	0.0439243
"Eric Clapton"	0.043417
lumberjack	0.0433388
"Katie Couric"	0.043319
starlet	0.0431651
"Ben Stiller"	0.043014
"Cindy McCain"	0.0429941
vegan	0.0429254
Ronstadt	0.042867
"black person"	0.0428546
"Sidney Poitier"	0.042789
"Jimmy Smits"	0.0427291
"Christina Aguilera"	0.0426312
"Lauryn Hill"	0.0425734
"Milton Berle"	0.0425329
"exotic dancer"	0.0424413
"Demi Moore"	0.0422556
"Robin Williams"	0.04184
"flying saucer"	0.0417805
"Heath Irwin"	0.041606
Aerosmith	0.0415627
Jay-Z	0.041527
"Richard Gere"	0.0414734
"three pitchers"	0.0410617
Kidman	0.0410353
"making love"	0.0409735
"Eric Cantona"	0.0409234
"Blue Dog"	0.0406566
"Celine Dion"	0.0403296
"Ronald Perelman"	0.0402429
"Bette Midler"	0.0401945
))
("Cindy McCain" (desc 830.878) (sims
Cleese	0.109625
"Lynne Cheney"	0.108427
Diouf	0.108147
Espinosa	0.107631
Finkel	0.102025
Rodionov	0.100886
Rea	0.0995903
"Laura Bush"	0.098814
Bruton	0.0977337
Borodin	0.0975284
Dodik	0.0968903
Nickerson	0.0960809
ex-husband	0.0960502
Maharaj	0.0954386
Napolitano	0.0952763
Hensley	0.0948406
Sharma	0.0945361
Moratinos	0.0944298
DiCarlo	0.0942572
Paxon	0.0939067
Hoke	0.0928981
Meguid	0.0926757
Brittan	0.091344
Hitchens	0.0888853
Musa	0.0886178
Abdel-Meguid	0.0881212
Brazill	0.0877917
"Azizah Ismail"	0.0876792
Kagalovsky	0.0875259
"Cox Report"	0.087179
Massey	0.0868729
Khrushchev	0.0861269
Harrick	0.0860332
Camacho	0.085911
Ciampi	0.0854355
"Alexander the Great"	0.0840018
Fay	0.0836522
Mehta	0.0831371
Portnoy	0.0831217
McKenna	0.0824208
Palczynski	0.0821977
Kurtz	0.0819235
Ghani	0.0818527
"funeral director"	0.0816612
"Perez Balladares"	0.0812255
Velayati	0.0809969
Warshaw	0.0807749
Faget	0.080574
Ikimi	0.0799271
Advani	0.0791097
Hiett	0.0787925
Vasquez	0.0783786
Hage	0.0781561
Riady	0.0781544
Kulikov	0.0778037
Haouari	0.07761
Callaghan	0.0775069
Petit	0.0773076
Paulina	0.0771274
Kerasiotes	0.0769786
Gaston	0.0769067
"Lee Hsien Loong"	0.0767996
Villanueva	0.0767841
Solich	0.0767144
Masire	0.0767115
Sakakibara	0.0765672
"Amos Wako"	0.0765081
Stoyanov	0.0761248
Narayanan	0.0761175
Gleason	0.0760099
Chukwu	0.0759778
Khalil	0.0758411
Giacchetto	0.0758325
Yazdi	0.0757512
Constantinescu	0.0756787
"Calvin Coolidge"	0.0751186
McGill	0.0750542
Halloran	0.0750207
Lowery	0.0749462
conger	0.0743342
Rawabdeh	0.0743125
Ghalib	0.0740945
Najera	0.0739418
Lew	0.0734129
Noor	0.0733435
Kimble	0.07332
Lamberth	0.0733172
Ruehe	0.0733166
Mitnick	0.073002
"Publishers Clearing House"	0.0726917
Sumaye	0.0726438
Rousseau	0.0725194
Komura	0.0724526
Yoo	0.0724131
Janikowski	0.0723891
Whiting	0.0719457
Gorter	0.0716593
Mudge	0.0715757
Bertelli	0.0713382
Jayakumar	0.071293
Dreyfus	0.0712647
Shayler	0.0711669
Bhattarai	0.0707755
"John Kennedy Jr."	0.0706593
Menchu	0.0706588
Pustovoitenko	0.0706447
Nkomo	0.0705097
Shamshad	0.0703003
FitzPatrick	0.0701864
Rifkind	0.0701418
Ackerman	0.0698813
Boesak	0.069281
Biskind	0.0692594
Cleary	0.0691967
Moscoso	0.0689721
Wilhelm	0.0689072
Whalen	0.0687594
Grasso	0.0687327
Hrawi	0.0686354
Baer	0.0685849
Fagan	0.0685654
"El Hage"	0.0684075
Fassett	0.0682895
Leghari	0.0682432
Matthau	0.0680344
Longo	0.0679244
Lipponen	0.0679198
Venables	0.0678998
Havelange	0.0675635
Jenoff	0.0674612
Tevanian	0.0674593
Ummi	0.0674275
"Albert Pirro"	0.0670795
Grahame	0.0669276
Khai	0.0669199
"Chief Executive Tung Chee-hwa"	0.0667621
Almeida	0.0665957
Schlessinger	0.0665858
"Juan Miguel Gonzalez"	0.066534
Romanowski	0.0662547
Childress	0.0661316
Kamal	0.0659768
Parsons	0.0659415
Obeid	0.0657296
Shareh	0.0656428
Inman	0.065621
bridegroom	0.0655869
Demjanjuk	0.0654511
Bowers	0.0653878
Piot	0.0652934
Rashid	0.0652071
Singson	0.0651097
Nebiolo	0.0649374
Sarsour	0.0647625
Karr	0.0647557
Gowda	0.0647428
Bartlett	0.0646856
Zuma	0.0646646
Carrera	0.0646074
Jorgensen	0.0645638
Rosenblatt	0.0643693
Ruthardt	0.0643678
ANGELOS	0.0641447
Guterres	0.0640534
Yadav	0.0639769
"Richard Williams"	0.0639546
Merritt	0.0639348
Burleigh	0.0638263
"Michael Skakel"	0.0637961
Shaath	0.0637908
Natale	0.0636875
Tarawneh	0.0635977
"William Shatner"	0.0635739
Shandling	0.0635514
Hindery	0.0633599
Ratner	0.063335
Cindy	0.0632583
"Bill Romanowski"	0.0631132
Groening	0.0630883
Ben-Ami	0.0630824
Bizimungu	0.062657
McCurry	0.0625407
Teresi	0.0625118
"one of the boys"	0.0623545
Sherrill	0.062298
Grammer	0.0622161
Farrell	0.0621576
Cem	0.062095
Haynes	0.061944
Sung	0.0618599
Amato	0.0618341
McCormack	0.0618304
Winkler	0.0618233
"Abidine Ben Ali"	0.061815
Kasoulides	0.0617673
Lim	0.0616606
Lepage	0.0616031
Crenshaw	0.0614985
Talebi	0.0614028
Fuentes	0.0613655
))
("Cindy Parlow" (desc 2088.97) (sims
"Kristine Lilly"	0.417639
"Tiffeny Milbrett"	0.400328
"Julie Foudy"	0.360761
"Shannon MacMillan"	0.297445
"Mia Hamm"	0.280897
"Michelle Akers"	0.277341
"Carla Overbeck"	0.276292
"Brandi Chastain"	0.270462
"Joy Fawcett"	0.262422
"Briana Scurry"	0.241142
"Kate Sobrero"	0.226118
"Sun Wen"	0.180775
Foudy	0.172628
"Hao Haidong"	0.16385
Milbrett	0.16327
"Roy Lassiter"	0.160507
"Stan Collymore"	0.155151
"Ante Razov"	0.152066
"Tore Andre Flo"	0.142272
"Youri Djorkaeff"	0.140846
"Ulf Kirsten"	0.134803
"Predrag Mijatovic"	0.133241
"Raul Diaz Arce"	0.132822
"Christophe Dugarry"	0.13241
"Alen Boksic"	0.132188
"David Trezeguet"	0.132176
"Teddy Sheringham"	0.131992
Chastain	0.131486
"Brian McBride"	0.12976
"Brian Laudrup"	0.129612
"Khodadad Azizi"	0.129136
"George Weah"	0.127789
"Faustino Asprilla"	0.126897
"Stern John"	0.1262
"Harry Kewell"	0.12539
"Ian Wright"	0.121679
"Carlos Hermosillo"	0.119737
Hamm	0.118357
"Adrian Ilie"	0.115964
"Paolo Di Canio"	0.110702
"Ali Daei"	0.11014
"Thierry Henry"	0.108806
"Eric Wynalda"	0.107575
"Hernan Crespo"	0.107499
MacMillan	0.107265
"Hristo Stoichkov"	0.106078
"Nwankwo Kanu"	0.105927
"Raul Gonzalez"	0.105517
"Luis Hernandez"	0.105254
"Fabrizio Ravanelli"	0.103139
"Hu Weidong"	0.102095
"Robbie Fowler"	0.101627
"Juergen Klinsmann"	0.0995416
"Dejan Savicevic"	0.0993518
Welton	0.0991082
"Patrick Kluivert"	0.0979165
"Claudio Lopez"	0.0978981
"Oliver Bierhoff"	0.0929984
"Gianfranco Zola"	0.0927463
"Hidetoshi Nakata"	0.0924811
"Ole Gunnar Solskjaer"	0.0919649
"Davor Suker"	0.091871
"Joe-Max Moore"	0.0916286
"Chamique Holdsclaw"	0.0908661
"Alessandro Del Piero"	0.0907709
"Dejan Stankovic"	0.0882592
Bebeto	0.0874949
"Michael Owen"	0.0864334
"Marcelo Salas"	0.0862499
"Kenny Thomas"	0.086064
Edmundo	0.0860249
"Eric Cantona"	0.0859297
"Gabriel Batistuta"	0.0846107
Romario	0.0839961
Akers	0.0835256
"Clint Mathis"	0.083041
"Kirk Muller"	0.0819254
"Ariel Ortega"	0.0816354
"Sam Clancy"	0.0810811
"Alexei Kovalev"	0.0807989
"Darren McCarty"	0.0807374
"Mario Stanic"	0.080555
Sissi	0.0803527
"Gheorghe Hagi"	0.0802045
"Filippo Inzaghi"	0.0800471
"Dwight Yorke"	0.0787768
"Paul Scholes"	0.0787385
"Bobby Newcombe"	0.0784865
"Dennis Bergkamp"	0.0783102
"Cobi Jones"	0.0782578
"Corliss Williamson"	0.0780053
"Nicolas Anelka"	0.0773869
"Tamika Catchings"	0.07733
"Chris Drury"	0.076874
"Roberto Baggio"	0.0766045
"Enrico Chiesa"	0.0754828
"Alan Shearer"	0.0750308
"Wang Tao"	0.0749526
"Christian Vieri"	0.0748576
"Ed McCaffrey"	0.0747156
"Michael Finley"	0.0746905
"Gianluca Vialli"	0.074596
"Pavol Demitra"	0.0744578
"Gabe Muoneke"	0.0741595
"Paul Merson"	0.0739013
Juninho	0.0735633
"Ivan Zamorano"	0.073503
"Brian Scalabrine"	0.0733213
"Brendan Shanahan"	0.0732599
"Jarvis Turner"	0.0730248
"Shane Doan"	0.0727919
"Steve Thomas"	0.0726866
"Glenn Robinson"	0.0726658
"Miroslav Satan"	0.0725649
Anelka	0.0718756
"Alan Henderson"	0.0717655
"Jorge Campos"	0.0713999
"Brian Rolston"	0.0713908
Suker	0.0704029
"Juwan Howard"	0.0703257
"Andy Cole"	0.0701056
"Bryon Russell"	0.0700754
"Scot Pollard"	0.069622
"Christian Laettner"	0.0695579
"Todd Harvey"	0.0689945
"Jumaine Jones"	0.0689529
"Geoff Sanderson"	0.0688235
"Donyell Marshall"	0.0687533
"David LaFleur"	0.0686672
Denilson	0.0686278
"Lamond Murray"	0.0684713
"Matt Bullard"	0.0676163
"DeLisha Milton"	0.066945
"Bobby Phills"	0.0669362
"Keith Van Horn"	0.0668852
"Dixon Ward"	0.0668123
"Pat Verbeek"	0.0668026
Asprilla	0.0661782
"Richard Jefferson"	0.0659157
"Dominique Wilkins"	0.0657261
"Pierluigi Casiraghi"	0.0655537
"Joe Sakic"	0.06553
"Bill Guerin"	0.0654902
"Travis Best"	0.0654655
"Morris Peterson"	0.0650964
"Adam Deadmarsh"	0.0650924
"Grant Marshall"	0.0650294
"Rebecca Lobo"	0.0649755
"Jason Kapono"	0.0647322
"CORIE BLOUNT"	0.0646716
"Grant Long"	0.0646269
Vieri	0.064625
"Marco Etcheverry"	0.064583
"Yancey Thigpen"	0.0643874
"Sheryl Swoopes"	0.0641481
Zico	0.0636825
"Robert Prosinecki"	0.0632198
"Ryan Giggs"	0.0631031
"Vin Baker"	0.0627989
"Blake Sloan"	0.062588
"P.J Brown"	0.0624149
"Rashard Lewis"	0.0622986
Laudrup	0.0618968
"Charlie Garner"	0.061714
"Mark Madsen"	0.0614957
Salas	0.0614912
"Tony Battie"	0.0613927
"Aaron Williams"	0.0613213
Alfonso	0.0612363
"Andre Rison"	0.0610942
"Phillip Cocu"	0.0610862
Kluivert	0.0608778
"Ron Artest"	0.0608643
"Scott Thornton"	0.0607708
"Milan Hejduk"	0.0607431
Rivaldo	0.060681
"Mike Miller"	0.0606261
"Kevin Williams"	0.0606073
"Vince Carter"	0.0605859
"Keith Tkachuk"	0.0605335
"Dedric Ward"	0.0604911
"Anthony Mason"	0.0603401
"Tony Amonte"	0.0603269
"John Wallace"	0.0603077
"Mike Sullivan"	0.0601586
"Frank Sanders"	0.0599409
"Chris Crawford"	0.0599374
"Ziggy Palffy"	0.0599296
"Teemu Selanne"	0.0598606
"Olli Jokinen"	0.0594445
"Rick Fox"	0.059377
"Chris Porter"	0.0592297
"Walt Williams"	0.05914
"Shawn Marion"	0.0591094
"Chris Carrawell"	0.0590971
"Patrik Elias"	0.0589893
"Kenyon Martin"	0.0588438
Stumpel	0.0587122
"Don Maclean"	0.0585945
"Terance Mathis"	0.0585941
))
(cinema (desc 33998.7) (sims
theater	0.164453
"movie theater"	0.147675
"art gallery"	0.100831
"concert hall"	0.0967713
literature	0.0955512
"shopping center"	0.094479
art	0.0929452
"popular music"	0.0917516
"shopping mall"	0.0906767
restaurant	0.090191
museum	0.0869242
bookstore	0.0860263
"movie house"	0.0848131
opera	0.0842062
film	0.0828335
music	0.0825042
"pop music"	0.0823258
"department store"	0.0812509
cafe	0.0800488
movie	0.0798069
"classical music"	0.0795546
architecture	0.0794526
"dance hall"	0.0788677
television	0.0782756
"amusement park"	0.0770508
library	0.0764958
disco	0.0763734
sport	0.076213
"motion picture"	0.0760321
shop	0.0755269
culture	0.0749925
"modern dance"	0.0744095
"entertainment center"	0.0740196
Entertainment	0.0734738
hotel	0.0733097
gallery	0.0732863
gymnasiums	0.07327
auditorium	0.0731515
"post office"	0.0731118
nightclub	0.0731104
"grocery store"	0.0730405
mall	0.0729294
supermarket	0.0728712
"film industry"	0.0726898
dance	0.0725822
"country music"	0.0725784
"opera house"	0.0715884
park	0.0715627
"musical theater"	0.0711243
poetry	0.0708686
studio	0.0706006
store	0.0700882
photography	0.0700205
Hollywood	0.0697208
festival	0.06961
"office building"	0.0691999
arcade	0.0691227
"gift shop"	0.0684607
multiplex	0.0682506
Journalism	0.0677595
Jazz	0.0673652
genre	0.0669183
spas	0.0668035
"exhibition hall"	0.0663882
cafeteria	0.0658893
"rock 'n' roll"	0.0652993
publishing	0.0652987
pub	0.064862
parlor	0.0648162
TV	0.064412
ballet	0.0643747
"movie industry"	0.0641915
bakery	0.0640931
"bowling alley"	0.0640758
"travel agency"	0.064042
salon	0.0639413
Warehouse	0.0639368
animation	0.0639197
Casino	0.063915
"theme park"	0.0637389
cuisine	0.063596
factory	0.0633359
"coffee shop"	0.0632757
science	0.0630879
theatre	0.062882
kiosk	0.0627976
gym	0.0627371
politics	0.0626232
musical	0.062496
church	0.0621946
outlet	0.0621873
"music hall"	0.0621824
"convenience store"	0.0620826
boutique	0.0620795
fiction	0.0618527
"community center"	0.0614861
"gas station"	0.0612175
comedy	0.0611315
soccer	0.0610486
"clothing store"	0.0606623
eateries	0.0606171
Pharmacy	0.0604558
garden	0.0603638
"toy store"	0.0602893
clinic	0.0598525
fashion	0.0595317
exhibit	0.0594715
drugstore	0.059295
hall	0.0589695
teahouse	0.0587516
club	0.0585727
"service station"	0.0585417
classroom	0.0585193
SPA	0.0583152
cabaret	0.0581379
broadcasting	0.0579701
drama	0.0578328
"retail store"	0.0578054
civilization	0.0577947
mill	0.0571469
planetarium	0.0569411
"folk art"	0.0568532
stadium	0.0566586
cemetery	0.0565
"specialty store"	0.0563459
"chain store"	0.0560557
tavern	0.0560201
"conference center"	0.0559201
repertory	0.0558704
synagogue	0.0558536
building	0.055785
"folk music"	0.0557132
Exhibition	0.0555802
heritage	0.0555689
video	0.0555346
pop	0.0555142
tourism	0.0552893
football	0.0552533
"golf course"	0.0551895
basketball	0.055164
complex	0.0551368
"radio station"	0.0549475
workplace	0.054945
discotheque	0.0548796
concert	0.0547264
university	0.0543678
playground	0.0543491
aviation	0.054317
palace	0.054185
"recording studio"	0.053912
Bathhouse	0.0538981
showroom	0.0538281
hospital	0.0537517
mosque	0.0536589
golf	0.0535493
hostel	0.053507
"beauty salon"	0.0533981
media	0.0533409
amphitheater	0.0533331
folklore	0.0533256
boxing	0.0533212
gymnasium	0.053312
craft	0.0533078
"railway station"	0.0532279
motel	0.0532009
"botanical garden"	0.0530471
"mass media"	0.0529976
drive-in	0.0529197
aquarium	0.0527829
"liquor store"	0.0527479
radio	0.0527384
bistro	0.0526831
zoo	0.0526661
"show business"	0.0525818
"telephone system"	0.0525767
"hardware store"	0.0525408
renaissance	0.052474
classic	0.0524525
dining	0.0522728
troupe	0.0521785
"space program"	0.0521476
neighborhood	0.0520681
resort	0.0519671
"swimming pool"	0.051776
pavilion	0.05169
baseball	0.0515924
"repair shop"	0.0514972
coffeehouse	0.0514274
Broadway	0.0514059
"avant garde"	0.0513511
"fine art"	0.0513133
philanthropy	0.0512982
facility	0.0512198
diner	0.0512067
booth	0.0511943
"bus station"	0.0511758
society	0.051171
archaeology	0.05113
attraction	0.0510802
"computer game"	0.0510774
))
(cinematographer (desc 3540.66) (sims
screenwriter	0.124036
co-producer	0.122088
"art director"	0.120886
arranger	0.116766
"costume designer"	0.107246
co-writer	0.103541
"leading lady"	0.102837
filmmaker	0.0995255
"newspaper editor"	0.0963754
"stage manager"	0.0935771
keyboardist	0.0930596
"press agent"	0.091629
photographer	0.0912178
lyricist	0.0910467
choreographer	0.0901693
filmmakers	0.0895394
"Alan Ball"	0.0874573
Playwright	0.0866176
"Sam Mendes"	0.0858683
cameraman	0.0848804
"graphic artist"	0.0830529
librettist	0.082695
stylist	0.0825243
cartoonist	0.0796216
novelist	0.0794827
"film producer"	0.0783831
composer	0.0780324
scriptwriter	0.0771303
animator	0.0764822
"interior designer"	0.0760422
songwriter	0.0758947
co-creator	0.0755599
infantryman	0.075519
"Louis Freeh"	0.073712
"literary agent"	0.0736014
documentarian	0.0733915
"film maker"	0.0726334
translator	0.0723507
copywriter	0.0721526
violinist	0.0720047
sculptor	0.0719052
publicist	0.07131
"drama critic"	0.0709689
"George Tenet"	0.0704615
"sports editor"	0.0700219
pianist	0.0694737
painter	0.069455
newspaperman	0.0688434
conductor	0.0688393
organist	0.0686214
essayist	0.0680418
presenter	0.0680367
raconteur	0.0670919
archivist	0.0664641
"pitching coach"	0.0663167
"talent scout"	0.0650074
"talent agent"	0.0646131
"landscape architect"	0.0645891
collaborator	0.0642387
"newspaper publisher"	0.0640005
chronicler	0.0635329
interpreter	0.0635002
poet	0.0628974
restaurateur	0.0626927
coauthor	0.062613
bricklayer	0.0626101
winemaker	0.0624958
"jazz musician"	0.0620592
cinematography	0.0620171
speechwriter	0.0619899
animators	0.0618684
guitarist	0.0612679
underling	0.0607377
"young actress"	0.0605867
"baseball coach"	0.0603898
sportswriter	0.0594162
comedian	0.0591891
puppeteer	0.0590545
"managing editor"	0.0590067
musicologist	0.0585833
"senior executive"	0.0581036
"sparring partner"	0.0579858
Olympian	0.0577905
"Christian Democrat"	0.0576903
"fashion designer"	0.0576149
matchmaker	0.0573433
"football coach"	0.0570763
oncologist	0.0570391
physicist	0.056983
beautician	0.0568574
biographer	0.0568015
psychotherapist	0.0562503
dramatist	0.0562454
"sounding board"	0.0559376
Deacon	0.0558354
carpenter	0.0557451
"business editor"	0.0556899
"plastic surgeon"	0.0554957
"Charles LaBella"	0.0552788
"funeral director"	0.055021
newsman	0.0549062
cameramen	0.0548993
"Golden Globe"	0.054752
caddie	0.0545753
"character actor"	0.0543961
"music critic"	0.0543894
naturalist	0.054242
orator	0.0542381
editor-in-chief	0.0542268
"movie star"	0.0538782
flutist	0.0537213
instrumentalist	0.05364
marathoner	0.0534484
illustrator	0.0534091
"legal guardian"	0.0533665
"Black Panther"	0.0533583
Programmer	0.0533169
"eagle scout"	0.0532537
singer-songwriters	0.0529839
trumpeter	0.0528505
humorist	0.052744
psychoanalyst	0.0526987
"Nora Ephron"	0.0525749
tutor	0.0524412
"safety valve"	0.0523964
cabinetmaker	0.0523714
restorer	0.0523583
co-editor	0.052316
blacksmith	0.0522744
"big leaguer"	0.0522435
conservationist	0.0522362
"executive officer"	0.0522001
"Susan Stroman"	0.0520021
Screenplay	0.0519257
theologian	0.051903
"guiding light"	0.0518591
electrician	0.0518283
lecturer	0.0517722
"disc jockey"	0.0517438
tactician	0.0516273
pallbearer	0.0515068
storyteller	0.0509771
shipmate	0.0509706
"ball club"	0.0509218
curator	0.0508609
"civil rights leader"	0.0508586
Litigator	0.0507033
colorist	0.0506524
neurosurgeon	0.0505896
"music teacher"	0.050576
"public speaker"	0.0504359
drummer	0.0504074
sommelier	0.0501218
surgeon	0.0498387
"Jeffrey Katzenberg"	0.049812
benefactor	0.0497439
"soul mate"	0.0496625
"copy editor"	0.0496297
"faculty member"	0.0494959
Imam	0.0494768
"theater critic"	0.0494385
"music director"	0.0494333
innkeeper	0.0492754
renegade	0.0491154
"campaign adviser"	0.0490083
"art historian"	0.0489798
repairman	0.0488109
bullfighter	0.0487844
chaperone	0.0486074
"detective story"	0.0485014
alderman	0.0484012
"English teacher"	0.0482001
"Miguel Indurain"	0.0481891
internationalist	0.0481757
"television reporter"	0.0481248
emcee	0.0480494
psychologist	0.0478586
councilwoman	0.0476134
horseman	0.0475717
lexicographer	0.047541
stuntman	0.047382
theorist	0.0473168
All-stars	0.0472872
gardener	0.0472719
cardiologist	0.0472561
accompanist	0.0472561
guidepost	0.0471006
sportscaster	0.047062
"test pilot"	0.0470337
scoutmaster	0.0470095
"church member"	0.0467861
"right-hand man"	0.0467198
"major leaguer"	0.0466345
soloist	0.0465266
astrologer	0.0464762
shipbuilder	0.0464402
balloonist	0.0464237
craftsman	0.0463983
"foster parent"	0.0463254
"ballet dancer"	0.0463253
))
(cinematography (desc 8430.72) (sims
Screenplay	0.120323
visuals	0.108607
editing	0.100638
camerawork	0.0993088
photography	0.0968632
"special effect"	0.0942553
choreography	0.0933397
costume	0.0818703
animation	0.0762721
"musical score"	0.0758414
"camera angle"	0.0738226
imagery	0.0691711
scenery	0.0669407
graphics	0.0639875
"sound effect"	0.0628886
writing	0.0621615
cinematographer	0.0620171
actress	0.0619998
"Alan Ball"	0.0618051
Lighting	0.0603112
script	0.0593301
Emmy	0.0584819
prose	0.05829
documentary	0.0582868
decor	0.0580521
staging	0.0576574
"Good Will Hunting"	0.0566361
orchestration	0.056521
"singing voice"	0.056439
"set piece"	0.056329
composition	0.0548305
singing	0.0543986
"Golden Globe"	0.0537228
soundtrack	0.0529129
typography	0.0526414
storyboards	0.0523693
adaptation	0.0520984
Vista	0.0520663
sequence	0.0511813
"film clip"	0.0509781
illustration	0.050899
portrayal	0.0505597
"piece of work"	0.0504826
poetry	0.0503408
vocals	0.0503219
melody	0.0498687
pacing	0.0494713
"color scheme"	0.0483451
CMA	0.0479546
"Golden Bear"	0.0479292
architecture	0.0477236
Grammy	0.0472865
sonnet	0.0458789
ballad	0.0458738
"costume designer"	0.0456267
"young actress"	0.045307
acrobatics	0.0450181
"English Patient"	0.04491
libretto	0.0446799
footage	0.0442173
"line drawing"	0.0441226
gag	0.0434521
Aria	0.04277
elegance	0.0427417
screwball	0.0426739
"American Beauty"	0.0421427
Promo	0.0416607
workmanship	0.0415903
"leading lady"	0.0414439
specificity	0.0412361
cabaret	0.0411441
"Red Violin"	0.0411184
"stage set"	0.0408143
Elena	0.0408018
texture	0.0407681
backdrop	0.0403735
melding	0.0403309
ensemble	0.0402119
mosaic	0.0401823
bluegrass	0.0401688
))
(Cineplex (desc 1063.29) (sims
megaplex	0.203984
multiplex	0.0854834
Loews	0.085313
megaplexes	0.0842123
"silent movie"	0.0830498
"Chevrolet Monte Carlo"	0.0827252
IMAX	0.076031
"gas plant"	0.063944
drive-in	0.0630787
AMC	0.0626045
LCD	0.0622011
"jewelry store"	0.0602303
COS.	0.0602261
"Villa Park"	0.0578262
PDA	0.0573886
Sundance	0.0568917
"Motor Speedway"	0.0551914
Metreon	0.0551232
VCs	0.0544766
"Iran News"	0.0544547
"New York Film Festival"	0.0540476
"Cannes Film Festival"	0.0521095
"filling station"	0.0517702
"discount store"	0.0509383
Harrah	0.0492855
"Left Bank"	0.0487284
"ball field"	0.0478282
pizzeria	0.0473612
Roxy	0.0470624
"toll plaza"	0.0469579
"wide screen"	0.0469545
"South China Morning Post"	0.0463508
"traffic circle"	0.0456426
Barrymore	0.0449737
"Atlanta History Center"	0.0449313
ancients	0.044919
MCC	0.0448844
"Tehran Times"	0.0448525
"Burger King"	0.0447742
Connell	0.0446129
Marriott	0.0442371
"tea house"	0.0439835
"Business Times"	0.0439564
"Scottish Parliament"	0.0439564
"butcher shop"	0.0437559
"Bryant Park"	0.0436375
"coffee bar"	0.0435206
Maariv	0.0433162
"toll call"	0.0430389
"Port St. Lucie"	0.0428309
"Gulf News"	0.0428043
"parcel of land"	0.0425611
flavour	0.0425262
Costco	0.0423895
"Public School @@"	0.0423789
"flour mill"	0.0422283
"Lambeth Conference"	0.0421702
"Vietnam News"	0.0419536
SFX	0.0418993
"Dairy Queen"	0.0417369
"user fee"	0.0417113
"Radio City"	0.0416982
"bus company"	0.0416943
"Pennsylvania Station"	0.0416795
nightspot	0.0416013
"theater company"	0.0415907
led	0.0415901
"back street"	0.0415464
Forty-two	0.0413963
"domed stadium"	0.0413703
"blind spot"	0.0410705
Al-Ahram	0.0410589
"soup kitchen"	0.0409634
"Guggenheim Museum"	0.0407895
CityWalk	0.0406861
"gasoline pump"	0.0405988
auteur	0.0403994
Watford	0.0403707
crematorium	0.0402757
"dairy farm"	0.0401734
Woolworth	0.0400529
"closed circuit"	0.0400079
))
("Cinergy Field" (desc 3223.37) (sims
"Dodger Stadium"	0.192448
"Veterans Stadium"	0.176676
"Turner Field"	0.176652
"Market Square Arena"	0.173739
"Shea Stadium"	0.173374
SkyDome	0.168354
"Tropicana Field"	0.16421
"Edison Field"	0.163255
"Rivers Stadium"	0.160143
"RCA Dome"	0.150803
Astrodome	0.14827
"County Stadium"	0.144722
"Giants Stadium"	0.142615
"Coors Field"	0.141592
"Texas Stadium"	0.139692
"Camden Yards"	0.137035
"Busch Stadium"	0.136895
"Wrigley Field"	0.135793
"Jacobs Field"	0.135454
"Yankee Stadium"	0.129912
"Reunion Arena"	0.129899
"Soldier Field"	0.129409
Shea	0.128462
"Compaq Center"	0.128413
"Candlestick Park"	0.128296
"Pro Player Stadium"	0.127757
"Continental Arena"	0.12691
"America West Arena"	0.126271
"Joe Louis Arena"	0.125655
"Delta Center"	0.12496
"Fenway Park"	0.123179
"Qualcomm Stadium"	0.120819
Metrodome	0.120475
"United Center"	0.120237
"MCI Center"	0.117513
"Mile High Stadium"	0.113298
"Kauffman Stadium"	0.112848
"Pauley Pavilion"	0.111723
"Devil Stadium"	0.109284
KeyArena	0.108246
"Enron Field"	0.108023
"Comiskey Park"	0.10722
Alamodome	0.1044
Superdome	0.104108
"Safeco Field"	0.102413
Ballpark	0.102189
"Oakland Coliseum"	0.101247
"Pacific Bell Park"	0.100915
"Olympic Stadium"	0.100195
"Lambeau Field"	0.098851
"Continental Airlines Arena"	0.0978176
"Trans World Dome"	0.0972973
"Arrowhead Stadium"	0.0972786
Meadowlands	0.0958223
"Madison Square Garden"	0.0951306
FleetCenter	0.0948529
"Sanford Stadium"	0.0943563
"Polo Grounds"	0.0942795
"Kyle Field"	0.0938998
"RFK Stadium"	0.0920196
"Georgia Dome"	0.0902997
"Cotton Bowl"	0.0902682
"Memorial Stadium"	0.0901627
Kingdome	0.0898284
"Nassau Coliseum"	0.0895982
"Foxboro Stadium"	0.0876771
"Kiel Center"	0.0838729
"Marine Midland Arena"	0.0825709
"Jack Kent Cooke Stadium"	0.0819903
"Staples Center"	0.0817665
"Tiger Stadium"	0.0814928
"Valley Ranch"	0.0804769
"Stade Velodrome"	0.0801152
Wrigley	0.077571
"Old Trafford"	0.0770253
"Tokyo Dome"	0.0769789
"Rose Bowl"	0.0753848
"Joyce Theater"	0.0751509
"Comerica Park"	0.0736353
Dodgertown	0.0707493
Fenway	0.0705108
"Pac Bell Park"	0.0682082
"Brooklyn Academy of Music"	0.0672637
Coliseum	0.0669753
"First Union Center"	0.066136
Foxborough	0.065574
"Hofstra University"	0.0650052
"Civic Arena"	0.0640403
"sports arena"	0.0636665
"World Basketball Championship"	0.0629161
"New York-New Jersey MetroStars"	0.0628729
"Roland Garros"	0.0612771
"ATP Championship"	0.060888
suiting	0.0602395
"Miami Arena"	0.0602317
"Churchill Downs"	0.0598055
Safeco	0.0585614
"National Tennis Center"	0.0581174
"Stade de France"	0.0578908
"Maple Leaf Gardens"	0.0577062
"Avery Fisher Hall"	0.0575824
"Oregon State"	0.0575703
"South Bend"	0.0560279
"Olympic Park"	0.0559799
"Augusta National"	0.0558296
"Melbourne Park"	0.0558286
"Orange Bowl"	0.0555232
Hialeah	0.0553002
"New Hampshire International Speedway"	0.055199
"about @:@@"	0.0547073
"Ebbets Field"	0.0542145
"English Football Association"	0.0538735
"Ben-Gurion Airport"	0.0535796
"Gulfstream Park"	0.0531858
"Dorothy Chandler Pavilion"	0.0529935
"Conseco Fieldhouse"	0.0528065
Staples	0.0516143
"Villa Park"	0.05121
blinker	0.0510881
"Belmont Park"	0.0488539
"Nevada-Las Vegas"	0.0487836
"rose garden"	0.0481783
"Melbourne Cricket Ground"	0.0478233
"Indian Wells"	0.0474875
"Augusta National Golf Club"	0.0473252
"UC Irvine"	0.047196
Pimlico	0.0469749
"Pepsi Center"	0.0469258
NHIS	0.0465523
"Sacramento State"	0.0460457
Rockingham	0.0456348
"U.N. Headquarters"	0.0455585
Marseille	0.0453324
"Furman University"	0.0452753
"National League West"	0.0450985
Blacksburg	0.0450857
"Iowa State"	0.0449803
"Milwaukee Bucks"	0.0447536
Storrs	0.0447104
"margin call"	0.0445273
"Santa Anita"	0.0444491
"Wimbledon Tennis Championships"	0.0442479
"U.S. Capitol"	0.044133
"Texas Motor Speedway"	0.0440684
"Memorial Tournament"	0.0440073
"Port St. Lucie"	0.0437983
"Carnegie Hall"	0.0436539
Toulouse	0.0435562
"Philips Arena"	0.0435255
"Iranian Foreign Ministry"	0.043139
"Daytona International Speedway"	0.0426794
Minsk	0.0425087
"Michigan Speedway"	0.0424185
"Fiesta Bowl"	0.0423176
TALLAHASSEE	0.0420627
"baseball game"	0.0419394
"John F. Kennedy International Airport"	0.0419327
"Sweet @@"	0.0416836
Gaborone	0.0415857
"National Stadium"	0.0414204
Pawtucket	0.0412203
"St. Andrews"	0.041063
"Paris Open"	0.0409284
Hofstra	0.0408615
"Atlanta Thrashers"	0.0407678
Pir	0.0407464
"Italian Open"	0.0407181
"National Press Club"	0.0405694
"polling booth"	0.0404128
"College Station"	0.0401242
"Australian Open"	0.0400142
))
(Cink (desc 1405.77) (sims
Azinger	0.197417
Kuehne	0.192716
Parnevik	0.180779
Gogel	0.177296
Inkster	0.166402
Calcavecchia	0.163161
Inman	0.159168
Hoch	0.148539
Stricker	0.145398
Quigley	0.144829
Huston	0.144197
Langham	0.142713
BEGAY	0.141662
Triplett	0.139837
Andrade	0.139409
Olazabal	0.133412
Stadler	0.13168
Appleby	0.131664
Herron	0.128801
Chuasiriporn	0.128755
Sorenstam	0.128172
Janzen	0.127525
Fleischer	0.124536
Duval	0.123523
Furyk	0.12258
Mallon	0.121796
Kuchar	0.119545
Lawrie	0.118617
Dougherty	0.117443
"Justin Rose"	0.116061
O'Meara	0.114791
Andreychuk	0.11369
Montgomerie	0.109899
Mickelson	0.108295
Passarella	0.108149
"Fred Couples"	0.107154
Vinatieri	0.106758
Laudrup	0.106439
Halama	0.106182
McGinnis	0.105397
Faldo	0.105295
Westwood	0.105271
Lowery	0.103384
Fleisher	0.103378
Mayfair	0.102723
Finkel	0.101649
Pak	0.101591
McKnight	0.100814
Paxon	0.0994637
Waldorf	0.0992908
Sheehan	0.0991251
Guerra	0.0990224
Driscoll	0.0988293
Durant	0.0982458
Ozaki	0.0978101
"Van de Velde"	0.0976084
Heinrichs	0.0966554
McGuire	0.0959987
Barros	0.0959817
Najera	0.0959752
"Mark Brooks"	0.0953924
Maruyama	0.0950236
Kane	0.0938166
Maggert	0.0935657
Singh	0.0935402
Cowan	0.093217
Rubenstein	0.0926061
Easley	0.0917538
Sutton	0.0916923
Lehman	0.0916248
"Colin Montgomerie"	0.0911879
estes	0.0910958
Cepeda	0.0907886
Ebersol	0.0907486
Holdsclaw	0.0899592
Ochoa	0.0899036
Mendez	0.0896056
Yount	0.0895589
Herta	0.0893718
Hendrickson	0.0890292
Luc	0.088952
Bodine	0.088725
"Phil Mickelson"	0.0880026
STALEY	0.0875844
Webb	0.0870449
Muoneke	0.0866924
"Justin Leonard"	0.0859976
Bullard	0.0855802
Gervin	0.0854924
McCarron	0.084912
Irwin	0.0848194
Zito	0.084659
Kenseth	0.0844675
Rahal	0.0840357
Schmid	0.0837594
Mandella	0.0837552
Pate	0.0835096
"Dana Quigley"	0.0834109
Solis	0.0834046
Sahadi	0.0831374
Okada	0.0830165
Paulson	0.0824068
Browne	0.0823885
Nicklaus	0.082201
"Tom Lehman"	0.0821556
Stackhouse	0.0821165
Solich	0.0820674
Karlsson	0.0820334
Lieberthal	0.0819212
Biffle	0.0818195
Mobley	0.0814797
Tanui	0.0814072
Leonard	0.0810514
Carbonneau	0.0810506
Ainge	0.0810078
McCown	0.0808856
"Jose Maria Olazabal"	0.0803373
Gossage	0.0800968
Sherrill	0.0797447
Dunleavy	0.0795728
Molinari	0.0795406
Moreno	0.0793784
Vizcaino	0.0791484
Khannouchi	0.0790263
Tocchet	0.0788867
LeClair	0.0788845
Moakley	0.0787956
Marineau	0.0782436
Calvary	0.0781765
Neff	0.077962
Daly	0.0776245
Cota	0.0775499
"Payne Stewart"	0.0774922
"David Duval"	0.0774653
Colbert	0.0772524
Donnan	0.0772403
Gillom	0.0772047
Bratton	0.0770534
Langdon	0.0769313
Geiger	0.0769065
"administration official"	0.0768835
Hartsburg	0.0768088
Jobe	0.0767727
Elam	0.0766503
Unser	0.0766476
Zuckerman	0.0764807
Mihm	0.0763766
Moyer	0.0763724
Kagwe	0.0762488
Hornacek	0.0762346
Tomey	0.0761628
Elkington	0.0761399
Capel	0.0761223
Hornaday	0.0761007
"Earnhardt Jr."	0.0760976
McCabe	0.0759949
Devers	0.07571
Manley	0.075645
Grunwald	0.075616
Atler	0.0755438
Nailon	0.0755016
Silverstein	0.075316
Valenti	0.0753142
Brenner	0.0752516
"Jack Nicklaus"	0.0751667
Atwood	0.0751505
Poole	0.0750447
Lepage	0.074913
"Greg Norman"	0.0748014
Fizer	0.074594
"John Daly"	0.0745469
Varitek	0.0743726
Hatteberg	0.0739836
Garces	0.0738875
Barrie	0.0738255
Matthaeus	0.0737172
Weisman	0.0736992
Advani	0.0734779
"Lee Janzen"	0.0733856
Sutherland	0.0731323
Robson	0.0727782
Runyan	0.0727529
"Karrie Webb"	0.0727001
Redman	0.0726411
Gilmour	0.072525
Audette	0.0724789
beamer	0.0724163
Boorman	0.0723555
Plante	0.0723268
Azizah	0.0719675
"Van Horn"	0.0718347
McCormack	0.0717667
Insulza	0.0717499
Gorter	0.0717217
Cienfuegos	0.0717142
Munson	0.0716722
Tanaka	0.0714016
Aoki	0.0712545
"Van Roost"	0.0712526
Baerga	0.0711962
))
(cinnamon (desc 13203.6) (sims
nutmeg	0.389138
allspice	0.344625
cardamom	0.325727
cumin	0.31575
turmeric	0.309278
"black pepper"	0.308081
"baking powder"	0.297505
clove	0.292357
coriander	0.290156
cayenne	0.286717
ginger	0.283555
"white pepper"	0.276336
"lemon juice"	0.275343
paprika	0.273926
"baking soda"	0.272722
vanilla	0.267885
"almond extract"	0.266764
thyme	0.265597
oregano	0.263681
"curry powder"	0.263167
"chili powder"	0.259864
"cayenne pepper"	0.258119
salt	0.258035
"brown sugar"	0.254324
"lemon zest"	0.246582
peppercorn	0.244068
"cumin seed"	0.243555
"vanilla extract"	0.235389
"orange zest"	0.233225
"fennel seed"	0.223614
Garlic	0.223091
"lime juice"	0.22021
"soy sauce"	0.218941
vinegar	0.218915
pepper	0.213002
mustard	0.212535
parsley	0.212325
"bay leaf"	0.211668
"coriander seed"	0.210899
sugar	0.208578
"garlic salt"	0.208286
cornstarch	0.205887
Basil	0.204136
cilantro	0.201048
anise	0.200865
"Worcestershire sauce"	0.197453
"celery seed"	0.192814
mace	0.191907
"sesame oil"	0.191341
"sesame seed"	0.186222
marjoram	0.185422
rosemary	0.185315
flour	0.182817
tarragon	0.181504
pecan	0.181255
coconut	0.179557
"pepper sauce"	0.177551
"lemon peel"	0.177192
raisin	0.176531
flake	0.176479
saffron	0.175704
"olive oil"	0.175118
cornmeal	0.174985
almond	0.173746
chive	0.173227
spice	0.169732
"mustard seed"	0.169237
lemon	0.168062
mint	0.166748
"corn syrup"	0.166369
"orange peel"	0.166042
honey	0.164324
buttermilk	0.163845
molasses	0.161716
"pine nut"	0.160771
onion	0.16065
butter	0.157099
"red pepper"	0.156396
"orange juice"	0.155554
"star anise"	0.155497
powder	0.153105
shallot	0.150578
horseradish	0.150422
lime	0.149344
"wine vinegar"	0.146613
"sour cream"	0.146592
"seasoned salt"	0.143711
dill	0.142168
"Tabasco sauce"	0.141315
"cider vinegar"	0.140889
hazelnut	0.136751
scallion	0.134913
"macadamia nut"	0.133917
chilies	0.133528
"poppy seed"	0.133464
"egg yolk"	0.132469
walnut	0.132256
peppermint	0.131853
cheese	0.131249
"peanut butter"	0.131241
"vanilla bean"	0.131226
"heavy cream"	0.131169
"Grand Marnier"	0.129069
lemongrass	0.128553
"maple syrup"	0.127819
seasoning	0.127768
raspberry	0.12688
"hot pepper"	0.126133
Sage	0.125892
cocoa	0.125269
pineapple	0.125188
"vegetable oil"	0.125024
"evaporated milk"	0.124401
"tomato paste"	0.123921
nut	0.122556
licorice	0.121988
syrup	0.12139
flavoring	0.120722
margarine	0.120331
fennel	0.120124
"hot sauce"	0.118582
apricot	0.11835
"green onion"	0.118298
rum	0.117982
sherry	0.117335
"chili sauce"	0.116244
herb	0.115581
"coconut milk"	0.114982
chocolate	0.114363
crumb	0.114245
liqueur	0.113278
currant	0.112312
paste	0.111763
milk	0.110479
shortening	0.110072
yeast	0.109606
half-and-half	0.109302
cream	0.107774
chiles	0.10761
mayonnaise	0.106695
tomato	0.105256
pistachio	0.104016
oat	0.104
zest	0.103739
celery	0.103737
"egg white"	0.103718
jalapeno	0.102867
gelatin	0.10187
Parmesan	0.101644
Tabasco	0.100753
"whipping cream"	0.0999423
juice	0.099177
peach	0.0990375
strawberry	0.096647
yogurt	0.0965863
ketchup	0.0953736
cranberry	0.0949701
sauce	0.0948146
banana	0.0939327
jelly	0.0929701
chervil	0.0926666
olive	0.0925589
"cottage cheese"	0.0923614
peanut	0.091823
puree	0.0917483
"condensed milk"	0.0908539
"peanut oil"	0.0905084
mushroom	0.0900116
Chili	0.0896288
Cherry	0.0893541
oatmeal	0.0891486
teaspoon	0.0887863
caper	0.0886149
"grated cheese"	0.0881334
marmalade	0.0880964
"cream cheese"	0.087325
fig	0.0872893
tapioca	0.0870795
"food coloring"	0.0868973
grapefruit	0.0866894
"chicken stock"	0.0865023
"apple juice"	0.086368
tahini	0.0861831
lavender	0.0861282
"tomato sauce"	0.0861182
"chili pepper"	0.0855994
soy	0.0854479
egg	0.0850356
savory	0.0849173
"pineapple juice"	0.0847303
"bell pepper"	0.084524
"dried fruit"	0.0843604
carrot	0.0831081
lentil	0.0822965
"whipped cream"	0.0819501
blueberry	0.0819046
plum	0.0810291
pinch	0.0810194
"blue cheese"	0.0807829
marshmallow	0.0807809
))
(cipher (desc 2003.2) (sims
"important person"	0.0928567
automaton	0.0791504
gung-ho	0.0778682
identifier	0.0699696
"guardian angel"	0.0683246
nonentity	0.0682147
radiance	0.0676574
antsy	0.0646092
"good person"	0.0638434
boob	0.0635842
HIV-positive	0.0634498
"New Democrat"	0.0629192
enigma	0.0626691
heretic	0.0620424
ideologue	0.061821
buffoon	0.0606619
copout	0.0592736
overachiever	0.058022
neurotic	0.0570513
"foot soldier"	0.0570406
brawler	0.0567551
impostor	0.0567403
CAD	0.0566951
"prima donna"	0.0565073
"electronic database"	0.0564245
guidepost	0.0559838
RSA	0.0558798
neophyte	0.0555267
blip	0.0554907
non-factor	0.0552871
"character actor"	0.0548509
aberration	0.0548469
paraplegic	0.054548
taskmaster	0.0545325
puncher	0.0541463
motivator	0.0541333
"hard worker"	0.0541242
"pain in the neck"	0.0541219
dilettante	0.0539685
drug-free	0.0539464
onscreen	0.0539136
"risk taker"	0.0538871
anachronism	0.0534749
oxymoron	0.0532448
lout	0.0527312
wimp	0.0526456
"second person"	0.0525492
junkie	0.0524412
snob	0.0521806
longer	0.0518625
"chemical compound"	0.0516428
"written language"	0.0515101
pushover	0.0512735
infantryman	0.0512407
debater	0.0510344
achiever	0.0510159
hypocrite	0.0509471
"raw talent"	0.0508425
figurehead	0.0507462
"act of God"	0.0505265
idiot	0.0504159
ingenue	0.050259
"private corporation"	0.0499578
hobbyist	0.0498661
sociopath	0.0498284
idealist	0.0497897
illiterate	0.0497029
supermodel	0.0495467
outcast	0.0494664
swinger	0.0492802
SDH	0.049141
"eye doctor"	0.0490604
hyper	0.0490422
agnostic	0.0488874
avatar	0.0488464
hothead	0.0488046
crematorium	0.0487527
"period piece"	0.0485306
pragmatist	0.0484632
marionette	0.0484115
nerd	0.0482914
dude	0.0482032
"traffic cop"	0.0479909
IC	0.0479783
"public speaker"	0.0479038
doer	0.0478233
cog	0.0477891
hindrance	0.0477292
punchline	0.0475052
lunatic	0.0474053
"sounding board"	0.0473676
prankster	0.0471626
bystander	0.0471161
"battering ram"	0.0470747
scum	0.0469973
"drawing card"	0.0467469
geek	0.0467362
chameleon	0.0466866
"Three hundred"	0.0466456
Nuisance	0.0465765
filtering	0.0464759
throwback	0.0464392
easier	0.0463705
manipulator	0.0462889
whore	0.0462815
recluse	0.0462761
"Bengal tiger"	0.0461553
moron	0.0459521
charmer	0.0459417
pro-choice	0.0458645
cakewalk	0.0457949
geezer	0.045715
tactician	0.0457145
waif	0.0455468
hyphen	0.045465
"certified public accountant"	0.0453928
"art movement"	0.045295
typecast	0.0452904
psychopath	0.0452874
colorblind	0.0452114
do-gooder	0.0449521
reactionary	0.0449518
iconoclast	0.0449149
"black belt"	0.0448796
touchstone	0.044824
illustrator	0.0447975
"point of reference"	0.044524
"Forrest Gump"	0.0444889
"safety valve"	0.0444807
chambermaid	0.0444241
commoner	0.044333
"fictional character"	0.0442743
labor-intensive	0.0442094
"white elephant"	0.0440468
has-been	0.043923
wacko	0.0439118
atherosclerosis	0.0437552
Kurd	0.0435964
certitude	0.0433532
"leading lady"	0.0433159
"security consultant"	0.0431249
lifer	0.0430799
Philanderer	0.0430608
"wise guy"	0.0430549
"user interface"	0.0429923
"good guy"	0.0429464
soulmate	0.0429369
crap	0.0428793
"speaker system"	0.042711
dribbler	0.0426386
wordsmith	0.0426298
"one of the boys"	0.0425604
"fig leaf"	0.0425436
osteoarthritis	0.0425066
pariah	0.0424606
portraitist	0.0423971
hurdler	0.0423953
"treading water"	0.0423132
anti-Semite	0.0422935
"exhaust system"	0.0422113
scoundrel	0.0421627
"black person"	0.0421145
fluke	0.0420641
wonk	0.0419317
pro-life	0.0419294
"foster parent"	0.0419197
contrarian	0.0419124
kingmaker	0.0418899
boilerplate	0.0418804
"wasting time"	0.0417582
"Playstation @"	0.0416919
conundrum	0.0416224
"piece of work"	0.0416035
"femme fatale"	0.0415921
churchgoer	0.0415551
"safety feature"	0.0414682
swashbuckler	0.041464
"charter member"	0.0414326
"con artist"	0.0413667
"role player"	0.0413119
"line of products"	0.0412331
"foreign service officer"	0.0411751
"guessing game"	0.0411376
fella	0.0411358
"Wild Man"	0.0411074
tossup	0.0410522
bloomer	0.0410445
ballplayer	0.0410419
Trailblazer	0.0410062
indicating	0.0410045
"minority shareholder"	0.0410031
"pipe dream"	0.0409163
copying	0.0408396
"local area network"	0.0408204
carnivore	0.0408067
grinder	0.0407161
laggard	0.0407143
troubleshooter	0.0406787
legit	0.0406585
non-issue	0.0405771
))
(Cipollini (desc 1756.58) (sims
Biffle	0.165521
Heyns	0.128759
Doohan	0.125075
Makinen	0.121575
Pantani	0.119374
"Francesco Casagrande"	0.117894
Loroupe	0.115286
Maier	0.113056
Meissnitzer	0.111533
Kjus	0.111053
Sautin	0.110902
Franchitti	0.110659
"Lasse Kjus"	0.109499
Bartoli	0.109249
Longo	0.108819
"Mario Cipollini"	0.108565
Tomba	0.10583
Pippig	0.104798
Szabo	0.103868
Tanui	0.10361
Zanardi	0.102768
Coulthard	0.102543
Boardman	0.100995
Zabel	0.100907
Popov	0.100558
Thorpe	0.099154
"Banshee Breeze"	0.0981768
"Michele Bartoli"	0.0978567
Sainz	0.0977675
Slaney	0.0967323
Zuelle	0.0958168
"Erik Zabel"	0.0946327
"Miguel Indurain"	0.0945593
Krayzelburg	0.0921208
Hakkinen	0.091749
Devers	0.0905788
Jalabert	0.0898603
Labonte	0.0898287
Olano	0.089014
Ullrich	0.088938
"Hilde Gerg"	0.0881104
Butyrskaya	0.0880624
Artax	0.0872418
Villeneuve	0.0869736
"Li Jiajun"	0.0863673
Montoya	0.0846426
"Chris Boardman"	0.0845864
Klim	0.0839326
"Johan Museeuw"	0.0838021
Vasser	0.0832425
Boldon	0.0829528
Okada	0.0828067
Schumacher	0.0825554
"Koji Ito"	0.081617
"Claudia Pechstein"	0.0813162
"Marco Pantani"	0.080977
"Yu Zhuocheng"	0.0805443
"Isolde Kostner"	0.0800072
Gustafsson	0.0798024
Seizinger	0.0792713
Kafelnikov	0.0790392
"Stuart O'Grady"	0.0789337
"Sonia O'Sullivan"	0.0787726
Enqvist	0.0783609
"Pavel Tonkov"	0.0780248
Andretti	0.0779233
Schmitt	0.0779107
"Tegla Loroupe"	0.0777843
Julich	0.0776818
"Laurent Dufaux"	0.0774352
Hoogenband	0.0760901
"Horned Frogs"	0.0756667
Luyendyk	0.075623
Yagudin	0.0756187
Hickman	0.0756097
Vera	0.0755454
Jarrett	0.0751992
Krajicek	0.0751226
"Kjetil Andre Aamodt"	0.0749962
Ottey	0.0749296
"American Pete Sampras"	0.0747442
"Sarah Hughes"	0.0747161
Sanchez-Vicario	0.0744079
Aamodt	0.0744032
Bjorkman	0.074024
Corretja	0.0737584
"Bjarne Riis"	0.0735767
"Li Xuemei"	0.0732263
Brack	0.0728232
"Li Na"	0.072455
Larsson	0.0722455
Kipketer	0.072001
"Alexandra Meissnitzer"	0.0716282
Huber	0.0714991
AEK	0.0708846
"Paul Tergat"	0.0706305
"Anjelika Krylova"	0.0704866
Hentgen	0.0703568
Ertl	0.0695002
"Christine Arron"	0.0694956
Sotomayor	0.0694871
Nicol	0.0694787
Lapentti	0.069408
"Tom Steels"	0.0694045
Moreau	0.0693779
"Colin Jackson"	0.0690338
"Rintje Ritsma"	0.0689662
"Claudia Poll"	0.0689116
"Irina Privalova"	0.0688425
Chebet	0.0686489
"Bobby Labonte"	0.068624
Mantilla	0.0683598
"Martin Schmitt"	0.0682384
Atler	0.0681183
"Red Bullet"	0.0680891
"Fu Mingxia"	0.0679761
Safin	0.0679379
Fredericks	0.0678871
Khannouchi	0.0678819
"Gong Zhichao"	0.0677469
"Alexander Popov"	0.0676149
Irvan	0.0674811
"Arnaud Di Pasquale"	0.0674415
"Fernando Escartin"	0.0674156
"Inger Miller"	0.0672908
Majoli	0.0672478
Ozaki	0.0672039
"Davide Sanguinetti"	0.0668143
Roba	0.0667497
Klinsmann	0.0667121
Millar	0.0666869
Capel	0.0664652
"Wang Nan"	0.0662692
"Yang Yang"	0.0659637
Testud	0.0659544
Greene	0.0656232
"Ian Thorpe"	0.0655354
Moya	0.065394
"Bobby Julich"	0.0652601
Aoki	0.0651001
"Free House"	0.0650946
"Favorite Trick"	0.0649953
Hornaday	0.0649564
"Abraham Olano"	0.0648345
Samuelson	0.0647693
"Simona Amanar"	0.0646823
McRae	0.0646452
Taufik	0.0645315
Xiong	0.0643607
"Maria Butyrskaya"	0.0643268
Kwan	0.0642494
Dolan	0.0641803
"El Guerrouj"	0.0641759
"Deon Hemmings"	0.0641723
Obilic	0.0639436
Godina	0.063861
Irvine	0.0637307
"Cat Thief"	0.0637297
O'Sullivan	0.0636467
"Australian Mark Philippoussis"	0.0636098
"Jearl Miles-Clark"	0.0635068
Saberhagen	0.0632617
"Ralf Schumacher"	0.0632488
Spartak	0.0631416
"Renate Goetschl"	0.0625919
Rossi	0.0625643
"Jeff Burton"	0.0623237
Svorada	0.0622256
"Tara Lipinski"	0.0620118
"Rainer Schuttler"	0.062007
"Ivan Lendl"	0.0619252
Hyman	0.0618743
Swardt	0.0617446
"Earnhardt Jr."	0.0617369
Jansher	0.0616661
"Dara Torres"	0.0616457
"Van Roost"	0.0615978
"Victory Gallop"	0.0615079
Mayfield	0.0613668
Sayonara	0.0613291
"Ben Hogan"	0.0613239
Goetschl	0.0610951
Berasategui	0.0609926
"Mercatone Uno"	0.0609818
"Galo Blanco"	0.0608526
Sugiyama	0.0607927
Polgar	0.0606299
"Thomas Stangassinger"	0.060606
"Ward Burton"	0.0605842
"Regina Jacobs"	0.0605713
Faldo	0.0604888
"David Coulthard"	0.0604776
Hendrawan	0.0602833
"Guo Jingjing"	0.060251
Bronson	0.0601271
Salazar	0.0601134
Capriati	0.0599453
Virenque	0.0599088
"Tyler Hamilton"	0.0598182
"Brooke Bennett"	0.0595718
))
(CIRC (desc 803.604) (sims
CSRC	0.274707
CNTA	0.241208
CCF	0.206844
"Health and Welfare Ministry"	0.205854
MII	0.197493
SDPC	0.182522
CDB	0.18055
ACFTU	0.180139
SPDC	0.173856
CMC	0.169048
TDB	0.168528
CSC	0.166058
CCPIT	0.165066
ICA	0.162278
"Truth Commission"	0.155419
PBOC	0.154621
IEC	0.1525
SFC	0.152181
"British Foreign Office"	0.150996
"House Budget Committee"	0.150922
CMA	0.148825
"Transport Ministry"	0.148324
HCFA	0.146642
SSB	0.145687
"Nuclear Regulatory Commission"	0.14567
CNOOC	0.144202
KPA	0.143285
"Agriculture Ministry"	0.143056
SETC	0.14112
"Senate Budget Committee"	0.140996
INEC	0.140416
"Israeli Foreign Ministry"	0.139399
CPSC	0.137997
CAAC	0.136889
"Thai Commerce Ministry"	0.136781
CCB	0.136726
SDB	0.136315
"Public Security Ministry"	0.13616
CSE	0.134695
IBRA	0.134009
"Electoral Commission"	0.132531
"Thai Foreign Ministry"	0.13204
Cs	0.129309
"Rules Committee"	0.129197
TDC	0.129083
PSC	0.128902
Totalfina	0.128827
UTC	0.128128
ITC	0.127743
COSCO	0.127618
"Labor Ministry"	0.126073
Histadrut	0.126053
"Chinese NPC"	0.125625
SEPA	0.125338
Comelec	0.125225
IAI	0.125026
"House International Relations Committee"	0.123762
"Industry Ministry"	0.123719
ICBC	0.12369
CEC	0.123599
Wada	0.123585
DLC	0.123442
JMC	0.12291
"Ministry of Forestry"	0.122691
CAA	0.122601
DSE	0.122424
"Commerce Ministry"	0.122116
PBC	0.121995
BOC	0.121975
"Airport Authority"	0.12173
HKTA	0.121221
AmCham	0.120592
"Atomic Energy Commission"	0.12016
CFTC	0.120051
"Hong Kong Federation"	0.119682
BOI	0.119615
NSC	0.119345
"Senate Governmental Affairs Committee"	0.11918
"Home Ministry"	0.118743
CNPC	0.118732
"Organizing Committee"	0.118721
Tat	0.118458
"Housing Authority"	0.117132
PBSI	0.117017
UNAMET	0.116841
"Defense Agency"	0.116497
"NPC Standing Committee"	0.116288
"British government"	0.115539
FSA	0.115404
"Culture Ministry"	0.115138
UNDCP	0.114584
"State Peace and Development Council"	0.114321
"Public Service Commission"	0.112386
"Foreign Relations Committee"	0.112091
"Ways and Means Committee"	0.111996
"China Securities Regulatory Commission"	0.111894
"Banking Committee"	0.11107
"Central Military Commission"	0.109862
ARATS	0.10974
"Commission on Elections"	0.109459
YankeeNets	0.109067
MCC	0.109014
"Civil Aviation Authority"	0.108119
WEF	0.10806
SPC	0.107983
"Israeli Army"	0.107968
CBK	0.107805
OCA	0.106761
"Congress Standing Committee"	0.106738
"NFL Players Association"	0.106616
BSA	0.105271
"House Banking Committee"	0.104836
PICC	0.10428
"Senate Commerce Committee"	0.104028
"U.S. Immigration and Naturalization Service"	0.104006
"U.S. Soccer Federation"	0.10395
MOFTEC	0.103846
"EU Commission"	0.103791
Azad	0.103431
"Senate Appropriations Committee"	0.103414
"Central Election Commission"	0.103077
"Senate Banking Committee"	0.103024
FPL	0.102458
"Turkish Foreign Ministry"	0.101885
"House Government Reform Committee"	0.101768
"Los Angeles City Council"	0.101688
"Provisional Ruling Council"	0.101412
NASD	0.101284
DEP	0.101161
IEA	0.100968
"House Commerce Committee"	0.100686
"National Defense Commission"	0.100496
"election commission"	0.100481
PB	0.100363
"Chinese Olympic Committee"	0.100175
SPP	0.100046
EC	0.0999463
"World Meteorological Organization"	0.0997608
"International Cycling Union"	0.0996765
AEC	0.0991203
TAZARA	0.0991136
GPU	0.0990203
NKP	0.098639
"Immigration Department"	0.0986001
NPC	0.0985689
BIA	0.0984436
"Congress (NPC) Standing Committee"	0.098373
"Senate Finance Committee"	0.0981798
"Russian Defense Ministry"	0.098145
Rodionov	0.0981077
"CPPCC National Committee"	0.0979897
CPPCC	0.0978343
"Senate Judiciary Committee"	0.0977296
ADL	0.0971625
"U.S. Defense Department"	0.0971516
"National Economic Council"	0.0970527
HKMA	0.0969915
PFC	0.0968618
"Senate Armed Services Committee"	0.0967521
"Russian Duma"	0.0966732
"Russian State Duma"	0.096549
Eximbank	0.0963623
NTSB	0.0960707
"Downing Street"	0.0960677
F.A	0.0959361
UNMOVIC	0.0959356
"General Council"	0.0956226
NDP	0.0954875
CSA	0.0954559
KPU	0.0951973
"Executive Committee"	0.0949313
LIFFE	0.0946872
RNC	0.0943455
"House Ways and Means Committee"	0.0943264
NEA	0.0938321
MOE	0.093358
"Russian Interior Ministry"	0.0932917
"All-China Youth Federation"	0.0932071
"Port Authority"	0.0930819
SDS	0.0930196
KONI	0.0930003
Caltrans	0.0927243
"Appropriations Committee"	0.0926211
"Department of State"	0.0924602
"Malaysia Airlines"	0.0924318
"Kenya Airways"	0.0922687
"Reserve Bank of India"	0.0921342
IPU	0.0921269
"National Committee"	0.0918519
"Hong Kong Monetary Authority"	0.0917208
"Transportation Department"	0.0911804
BSF	0.0910938
"planning commission"	0.091043
"Federal Communications Commission"	0.0907496
"State Planning Commission"	0.0906767
ACWF	0.0906666
Eskom	0.0903372
"Jatiya Party"	0.0901443
"U.S. Treasury Department"	0.0898051
"Ministry of Public Security"	0.0897585
))
("circadian rhythm" (desc 935.495) (sims
"biological clock"	0.155766
"sense of balance"	0.108877
"rate of exchange"	0.102699
thermostat	0.087875
macro-economy	0.0869841
metabolism	0.0817024
"economic theory"	0.0703892
"Jim Harrick"	0.0699655
rightness	0.069154
"entitlement program"	0.0667849
"defense mechanism"	0.0641122
telomeres	0.0638913
"basic concept"	0.06244
"balance of power"	0.0622241
tiredness	0.0622079
"air pressure"	0.0599989
"nervous system"	0.0596971
brightness	0.0592937
"flight path"	0.0588246
T-cells	0.058554
"mental state"	0.0580439
CJD	0.0576409
"Creutzfeldt-Jakob Disease"	0.0575107
"circulatory system"	0.0572461
"heart rate"	0.0566593
"modus operandi"	0.0564639
"internal organ"	0.0562082
stillness	0.0559945
"Academy of Motion Picture Arts"	0.0549529
biochemistry	0.0548498
"center of gravity"	0.0545382
ergonomics	0.0544314
"circuit breaker"	0.0536855
"environmental science"	0.0533595
folkways	0.0531771
"one line"	0.0530846
odometer	0.0519057
Sens	0.0518869
emulator	0.0517646
"animal disease"	0.0508707
adenovirus	0.0502191
thinness	0.0500609
"brain wave"	0.0498412
"skin color"	0.0491906
intangible	0.0482067
mushers	0.0480633
weightings	0.048057
pronunciation	0.0479032
physiology	0.047712
"market order"	0.0477031
adoptees	0.0473096
self-image	0.0472031
Zyvox	0.0471726
electability	0.047058
"cost structure"	0.0469256
hardness	0.0467535
iota	0.0462106
Mattysse	0.0461265
ABM	0.0457799
coloration	0.044816
weighting	0.0447138
"state of mind"	0.0446674
"medical science"	0.0445967
suffix	0.044212
edginess	0.0441761
"trading activity"	0.0441715
"earnings disappointment"	0.0441429
headcount	0.0438403
"tax treatment"	0.0438392
"business cycle"	0.0436104
minder	0.0434794
"blood sugar"	0.0434173
"mechanical engineering"	0.04329
"heating system"	0.0430056
"voting system"	0.0429361
"Fred Claire"	0.0423753
rowdiness	0.042361
reflector	0.0419816
"Kennewick Man"	0.0419796
"income bracket"	0.0419294
"extracurricular activity"	0.0418624
"liberal arts"	0.0417818
chromosome	0.041721
atheism	0.0414355
"chemical compound"	0.0414018
"natural science"	0.0413866
spaceflight	0.0411458
myopia	0.0409915
"chess player"	0.0409514
quirkiness	0.0408861
Matthaeus	0.0405664
likability	0.0405653
calmness	0.0404633
warhorse	0.0404504
"blood cell"	0.040416
"crisis situation"	0.0402537
intranets	0.0401382
Kansan	0.0401038
goalpost	0.0400772
toolbox	0.0400761
))
(circle (desc 97128) (sims
community	0.116603
"business community"	0.0938331
organization	0.0869011
"walk of life"	0.0857315
world	0.0857293
group	0.0838633
industry	0.081068
society	0.0799182
media	0.0712729
"inner circle"	0.0709609
elite	0.0707114
department	0.0699054
rectangle	0.0693973
institution	0.0693676
party	0.0689463
sphere	0.0683063
sector	0.0675124
association	0.0662046
government	0.0661573
square	0.0660343
press	0.0648464
country	0.0648128
profession	0.0647467
area	0.0646555
business	0.0644975
public	0.0642364
field	0.0630974
ring	0.0628825
church	0.0627877
culture	0.0622741
people	0.0620471
institute	0.0619583
"trade union"	0.0614635
region	0.0610352
politics	0.0607656
family	0.060568
"political party"	0.0601283
movement	0.060003
audience	0.059483
market	0.0594103
room	0.0591828
life	0.0591569
"business leader"	0.0591545
office	0.0590333
pool	0.0589922
rank	0.0589576
crowd	0.0589526
triangle	0.0588754
corner	0.0586665
neighborhood	0.0579531
Hollywood	0.0578828
theater	0.0577547
establishment	0.0576415
class	0.0576028
body	0.0575055
line	0.0572213
slot	0.057176
"news media"	0.0570777
clubhouse	0.0569379
businessmen	0.0566877
expert	0.0566174
zone	0.05661
clique	0.056374
"business sector"	0.0563301
center	0.0560857
crease	0.0557851
school	0.0557846
company	0.0557811
academic	0.0557548
club	0.0552754
politician	0.055231
enterprise	0.0550444
authority	0.0550298
side	0.0550158
administration	0.0549689
some	0.0549296
arena	0.0548939
Congress	0.0547979
nation	0.0547327
Europe	0.0545524
scholar	0.0544575
box	0.0544424
network	0.0537781
gallery	0.053679
history	0.0535343
park	0.0534649
agency	0.0533973
"armed forces"	0.0533897
background	0.0533599
lane	0.053129
official	0.0529724
China	0.0529385
"United States"	0.0528294
city	0.0527798
museum	0.0527482
Chinese	0.0527346
landscape	0.0526164
house	0.0525497
building	0.0525317
"locker room"	0.0524096
ministry	0.0523165
layer	0.052291
right	0.0516777
Universe	0.0516398
sport	0.051544
delegation	0.0514788
Council	0.051447
academia	0.0514185
scene	0.0514157
military	0.0513224
leader	0.0512799
tradition	0.0512575
hierarchy	0.0512501
committee	0.0512001
generation	0.0511336
district	0.0508775
number	0.0508536
cluster	0.0507873
village	0.0507859
many	0.0507702
locality	0.0507168
intellectual	0.0506328
mainstream	0.0505557
mind	0.050463
eye	0.0503018
"ethnic group"	0.050221
art	0.0501475
university	0.0501461
camp	0.0501103
front	0.0499744
shape	0.049926
home	0.0498244
pattern	0.0497158
firm	0.0497024
piece	0.0496402
street	0.0495567
hall	0.0493803
professional	0.0492608
book	0.0490478
union	0.0489929
section	0.0489899
Coalition	0.0489577
citizen	0.0488867
"educational institution"	0.0488815
space	0.0488024
activity	0.0487903
range	0.0484911
member	0.0484802
image	0.0484313
scientist	0.0484194
"labor union"	0.0483574
minority	0.048319
activist	0.0483135
wall	0.0482551
Washington	0.0482499
affair	0.0480645
west	0.0480563
investor	0.0480062
critic	0.0479823
development	0.0479215
stripe	0.0479055
direction	0.0478565
lawmaker	0.0478547
staff	0.0477773
"interest group"	0.0477654
style	0.0476844
entrepreneur	0.0476822
corporation	0.0476781
parliament	0.0475313
leadership	0.0474954
court	0.0474485
town	0.0474382
loop	0.0474291
"financial institution"	0.0474098
army	0.0473545
faction	0.047312
system	0.0472996
America	0.047281
ball	0.0472744
chamber	0.0472381
household	0.0471071
NGOs	0.0470982
role	0.0470689
artist	0.0470188
bloc	0.0469871
literature	0.0469415
environment	0.0468987
"religious leader"	0.0468774
fraternity	0.0468325
campaign	0.0467505
arc	0.0466389
atmosphere	0.0465962
resident	0.0464895
"computer industry"	0.0464726
kitchen	0.0464621
garden	0.0464382
legislator	0.0463921
music	0.0463054
academy	0.0462817
corridor	0.0462719
))
(circuit (desc 67903.6) (sims
"court of appeals"	0.105317
"appeals court"	0.0969812
"appellate court"	0.0916156
track	0.0895159
tour	0.0891891
oval	0.088145
"PGA Tour"	0.0871396
race	0.0820567
"LPGA Tour"	0.0791076
Racing	0.0770214
"Senior PGA Tour"	0.0764103
court	0.0762218
"Supreme Court"	0.0738872
"state supreme court"	0.0736919
event	0.0730909
"high court"	0.0726788
course	0.0710914
"lower court"	0.0671537
stage	0.0664089
"Winston Cup"	0.0657479
"U.S. Supreme Court"	0.0654819
championship	0.064969
"federal court"	0.0647615
system	0.0645502
road	0.0622444
network	0.0616504
trail	0.061571
IRL	0.0614142
"WTA Tour"	0.0613411
racer	0.0599669
television	0.059748
series	0.0594963
competition	0.0593282
"trial court"	0.0586572
"House of Lords"	0.0577942
scene	0.0573279
league	0.0572975
transistor	0.0570289
tournament	0.0570103
circuitry	0.0567159
field	0.0566822
TV	0.0564032
board	0.056197
lap	0.0560144
car	0.0553275
Computer	0.054761
cable	0.0545195
sport	0.0544096
panel	0.0543626
"ATP Tour"	0.0541222
venue	0.0532701
driver	0.0529835
bike	0.0527475
squad	0.0527435
roster	0.0525015
NASCAR	0.0524713
arbitrator	0.0521939
marathon	0.0520567
machine	0.0520552
"Grand Prix"	0.0517402
screen	0.0516354
route	0.0516076
calendar	0.0513969
arena	0.0511379
division	0.0505794
Internet	0.0504497
street	0.0504408
radio	0.0504095
club	0.0503604
platform	0.05026
bench	0.0498804
equipment	0.0496986
speedway	0.049575
industry	0.0495279
cycling	0.0493866
racetrack	0.0492756
soccer	0.0491207
judge	0.0489648
software	0.0488961
chip	0.0483317
tennis	0.0479873
"personal computer"	0.0479335
"Constitutional Court"	0.0479067
engine	0.0478808
politics	0.0478683
NBA	0.0477964
contest	0.0477754
title	0.047726
device	0.0471966
boat	0.0470093
lineup	0.0468951
phone	0.0466282
theater	0.046586
processor	0.046547
festival	0.0464256
sprint	0.0463973
landscape	0.0463811
school	0.0463361
tire	0.0462448
"World Cup"	0.0460999
golf	0.0460621
standing	0.0460279
campus	0.0459541
web	0.0459105
"Wall Street"	0.0458653
"golf course"	0.045732
final	0.0456062
jury	0.0455528
ride	0.0455453
Satellite	0.0454753
"phone line"	0.045462
card	0.045446
highway	0.045408
tribunal	0.0453698
class	0.0453588
district	0.0453298
stadium	0.0452163
sensor	0.0452113
tourney	0.0451678
section	0.0448173
grid	0.0446383
trial	0.0445693
channel	0.0445423
format	0.0444723
bus	0.0444399
marketplace	0.0443311
"basketball court"	0.0443142
history	0.0441827
"U.S. District Court"	0.0441241
cart	0.0440504
commission	0.0439048
justice	0.0438657
subway	0.0438436
slalom	0.0438269
server	0.0438073
station	0.0437842
"communications network"	0.0433725
runway	0.0433691
technology	0.0433248
turf	0.0433004
baseball	0.0432497
Olympics	0.0430137
culture	0.0429493
"telephone line"	0.0428836
career	0.0428512
"Hall of Fame"	0.0427001
ring	0.0426972
freeway	0.0425541
ranking	0.0424176
facility	0.0423347
Motorcycle	0.0423074
sidewalk	0.0419719
PC	0.041943
"race car"	0.0417874
modem	0.041764
body	0.0417066
downhill	0.0416516
airwaves	0.0416468
NFL	0.0414983
agency	0.0414733
Broadway	0.0414716
committee	0.0414514
federation	0.0413696
pathway	0.0413575
cup	0.0413373
leg	0.0413209
community	0.0412641
Magistrate	0.0411856
layout	0.0411465
university	0.0409594
"Indy @@@"	0.0409371
ICE	0.0408929
floor	0.0408863
camera	0.0407783
beach	0.0407472
basketball	0.0407297
room	0.0407199
clock	0.0405685
"computer network"	0.0405191
bridge	0.0404602
"talk show"	0.0403147
"computer program"	0.0401104
island	0.0400868
))
("circuit board" (desc 5057.17) (sims
capacitor	0.186582
"disk drive"	0.132032
"integrated circuit"	0.130399
"communications equipment"	0.118771
semiconductor	0.115276
"household appliance"	0.112834
peripheral	0.110988
"home appliance"	0.108048
motherboard	0.105477
"electronic equipment"	0.105163
"consumer electronics"	0.103881
transistor	0.099798
"computer equipment"	0.0972949
"memory chip"	0.096415
component	0.0910406
"landing gear"	0.0905769
transformer	0.0898801
circuitry	0.088927
appliance	0.0884037
motherboards	0.0873335
electronics	0.0867936
"aircraft part"	0.0837496
"aircraft engine"	0.082984
"storage device"	0.0820051
"machine tool"	0.0817241
machinery	0.0812468
"water heater"	0.0806176
"test equipment"	0.0802998
"heart valve"	0.0801205
"air filter"	0.0786967
microprocessor	0.0780508
alternator	0.0762671
fastener	0.0746195
hardware	0.0738587
connector	0.0738158
"brake system"	0.0729091
knitwear	0.0711283
automobile	0.0699495
timepiece	0.0698916
avionics	0.0698246
plastic	0.0694053
valve	0.0686706
router	0.0685234
garment	0.0673234
"computer hardware"	0.0672486
"tv set"	0.0670672
dram	0.0669374
wiring	0.0665258
battery	0.066427
"hand-held computer"	0.0657729
accessory	0.0656109
"wireless telephone"	0.0653688
antenna	0.065232
"fuel system"	0.0648732
microchip	0.0648232
recorder	0.0646422
"radio transmitter"	0.0643702
"scientific instrument"	0.0643526
"canned food"	0.0642728
"motor vehicle"	0.0638262
"consumer goods"	0.0637976
petrochemical	0.0632331
pipe	0.0629961
processor	0.0628784
"cellular telephone"	0.0623558
"security system"	0.0620287
ceramic	0.0617903
printer	0.0616754
workstation	0.0614134
"communications satellite"	0.0613964
"smoke alarm"	0.0612947
thermostat	0.0611485
"medical instrument"	0.0608001
"internal organ"	0.0605133
"optical fiber"	0.0604125
gyroscope	0.0602566
"laser printer"	0.0594466
"sewing machine"	0.0593484
"spare part"	0.0593251
"gas turbine"	0.0593116
apparel	0.0590834
"control system"	0.0590556
heater	0.0589813
lumber	0.0589192
footwear	0.0588748
"solar panel"	0.0588203
gadget	0.058394
"personal computer"	0.0581791
module	0.0578917
"pet food"	0.0577451
modem	0.0576864
plumbing	0.0576114
"office furniture"	0.0575508
"chemical analysis"	0.0573692
Microelectronics	0.057197
jewelry	0.057081
auto	0.0569808
"X-ray machine"	0.0569033
pharmaceutical	0.0567631
textile	0.0567114
"electronic device"	0.0566763
adapter	0.0565533
"ventilation system"	0.0563966
"spark plug"	0.0560158
"cellular phone"	0.0559268
"color television"	0.055728
VCR	0.0556402
"building material"	0.0555586
motor	0.0552466
"alarm system"	0.0551721
laptop	0.0551459
"heating system"	0.0550549
"diesel engine"	0.0550402
generator	0.0550129
"hydraulic system"	0.0548092
amplifier	0.0547023
switchboard	0.0546807
pylon	0.0544731
"light bulb"	0.0543452
endoscope	0.0543329
optic	0.0541769
cosmetic	0.0541613
"silicon chip"	0.0539809
aerospace	0.0539172
"mainframe computer"	0.0536621
"propulsion system"	0.0536035
defibrillator	0.0534466
detonator	0.0534209
"communications service"	0.0533609
"computer program"	0.0530828
"window frame"	0.0530207
"weapons system"	0.0527123
"television set"	0.0522651
refrigerator	0.0522116
diaper	0.0521943
turbine	0.052159
networking	0.0521156
jawbone	0.0519542
"water pump"	0.0516963
"software product"	0.0515099
diode	0.0514235
scanner	0.0513851
sensor	0.0512526
"computer code"	0.0510738
"building product"	0.0510553
kit	0.051052
"transmission line"	0.0508911
disk	0.050774
"vacuum cleaner"	0.0506371
warhead	0.0506086
"food product"	0.0505138
"hard disk"	0.05048
"specialty chemical"	0.0504596
"laptop computer"	0.0504337
keyboard	0.050431
insulation	0.0502549
"shock absorber"	0.0501557
Plywood	0.0501452
crayon	0.0500357
handset	0.0498649
"hand tool"	0.0498104
"hearing aid"	0.0497291
"emergency exit"	0.0497157
"weapon system"	0.0497031
platforms	0.0496332
diskette	0.0494586
ICS	0.0493152
headrest	0.0492076
matzo	0.0491827
refrigeration	0.0491513
"washing machine"	0.0491496
gadgetry	0.0490268
"communication system"	0.0489927
Motorcycle	0.0489481
"woman's body"	0.0486737
"phone system"	0.0482768
Kleenex	0.0482053
"razor blade"	0.0481862
"can opener"	0.0481407
"explosive device"	0.0481351
"trade secret"	0.0481242
V-chip	0.0480058
apparatus	0.0479295
converter	0.0479294
handicraft	0.0478964
knowhow	0.0478148
"oreo cookie"	0.0477634
"power tool"	0.0476993
supercomputers	0.0476792
chassis	0.0475104
"rocket engine"	0.0474418
toaster	0.0474328
"frozen food"	0.0474177
tarpaulin	0.0469564
silicon	0.0469371
"plate glass"	0.0468666
listeria	0.0468492
"cassette recorder"	0.0467409
"cooling system"	0.0466966
flooring	0.0466717
))
("circuit breaker" (desc 3061.12) (sims
"fire alarm"	0.102714
"sprinkler system"	0.0824873
valve	0.0824659
"fire extinguisher"	0.0801856
gyroscope	0.0787962
thermostat	0.0783666
"alarm bell"	0.0762153
"windshield wiper"	0.0759479
autopilot	0.0756273
timer	0.0749013
"anti-dumping duty"	0.0735065
sensor	0.0718654
gunpowder	0.0668481
"proxy fight"	0.065146
intercom	0.064349
GST	0.0643078
defibrillator	0.0640393
"smoke alarm"	0.063897
E-ZPass	0.0636654
reverser	0.0628307
"alarm system"	0.0625397
"cruise control"	0.0623749
"quota system"	0.0622732
Stl	0.0619845
"solar power"	0.0619137
"X-ray machine"	0.0616515
"local area network"	0.0610239
"value added tax"	0.0609145
telomerase	0.0608804
sprinkler	0.0589557
sonar	0.058055
ignition	0.0569038
"billion over @@ years"	0.0567946
"fuel system"	0.0557045
fast-track	0.0555351
deflector	0.0551326
transformer	0.0550845
"tax change"	0.054795
"control system"	0.0546339
detonator	0.0541577
fingerprinting	0.0539518
"hydraulic system"	0.0539244
detector	0.0538026
"circadian rhythm"	0.0536855
"margin call"	0.0532208
shutter	0.0531689
gearbox	0.0531472
Filtration	0.0522974
"ventilation system"	0.05217
"security measures"	0.0517988
"price control"	0.0513506
bazooka	0.0513056
Edm	0.0510348
debit	0.0505821
"test data"	0.0504004
"time clock"	0.0501643
"Donald Audette"	0.0500513
"golden parachute"	0.0500163
"air bag"	0.0500016
odometer	0.049542
rudder	0.0494601
reflex	0.0493877
"safety feature"	0.0491631
capacitor	0.0488939
lever	0.048865
SJ	0.0488298
"shock therapy"	0.0488029
fastener	0.0486989
avionics	0.04836
postmark	0.0482033
"weather station"	0.0480041
AMT	0.0479479
circuitry	0.0476507
filtering	0.0475992
"poison pill"	0.0475036
harder	0.0474821
sorter	0.0471944
SDH	0.0471804
louver	0.0471406
free-for-all	0.0470313
"scoring system"	0.046912
"market maker"	0.0466905
rotor	0.0466499
phi	0.0466046
"nitric oxide"	0.046413
"warning light"	0.0464027
"power unit"	0.0462249
"Helms-Burton Act"	0.0462176
"seat belt"	0.046168
"circuit board"	0.0460036
prosthesis	0.0459888
"Trojan Horse"	0.0457304
"voting system"	0.0451979
conveyor	0.0450009
receptor	0.0449719
"guided missile"	0.0449094
"telephone exchange"	0.0448954
"martial law"	0.0448606
Legos	0.044762
"caller ID"	0.0445307
conditionalities	0.0442973
transmitter	0.0442926
Scalabrine	0.0442761
"safety measure"	0.0441904
abacus	0.0441458
firewalls	0.0441374
voltage	0.0440241
"bar code"	0.0440107
"market correction"	0.0438382
lockbox	0.0438048
GSM	0.0435604
"point system"	0.0433416
"price reduction"	0.043322
guardrail	0.0431276
"electric motor"	0.0431228
"powder keg"	0.0429932
HDL	0.0428696
signaling	0.0428316
locking	0.0426395
"Millennium Bug"	0.0425383
"sliding door"	0.0424892
crayon	0.0424399
antenna	0.0424326
"value-added tax"	0.0422044
dopamine	0.0421542
"pricing system"	0.0421167
mezzanine	0.0421083
grading	0.0420862
cooker	0.0419572
adrenalin	0.0419399
thruster	0.0419369
recorder	0.0418908
blinker	0.0417706
"shock absorber"	0.04174
afterburner	0.0416718
"blue ribbon"	0.0416398
defibrillators	0.0412658
"voting machine"	0.04119
smokescreen	0.0411186
ITF	0.0410874
spotter	0.0408764
"proportional representation"	0.0408278
GPS	0.0407503
"computer program"	0.0407304
"chain reaction"	0.0406961
"can opener"	0.0406711
dumps	0.0406679
amplifier	0.040617
enzyme	0.0405975
"catalytic converter"	0.0403353
gyro	0.040263
McMellon	0.0401819
knob	0.0400551
"cooling system"	0.0400043
))
("Circuit City" (desc 4306.87) (sims
"Best Buy"	0.264988
CompUSA	0.230783
"Office Depot"	0.230644
Staples	0.163974
"Radio Shack"	0.157339
Kmart	0.157302
Tandy	0.156722
"J.C. Penney"	0.154615
Costco	0.140818
"Rite Aid"	0.138104
Sears	0.135375
"Home Depot"	0.132092
"Sharper Image"	0.127746
Wal-Mart	0.123075
Walmart	0.122691
REI	0.121336
CVS	0.120287
Albertson's	0.119205
Safeway	0.116049
COS.	0.115265
Kroger	0.113802
"Staples Inc."	0.111679
Nordstrom	0.110944
"Toys R Us"	0.110495
Caldor	0.109536
Carrefour	0.109145
eToys	0.104025
Walgreen	0.10191
Drugstore.com	0.101549
Reel.com	0.101385
Walgreens	0.0998837
"Amazon.com Inc."	0.0990811
AutoNation	0.0981899
"Wal-Mart Stores"	0.096201
"Old Navy"	0.0958357
"Barnes &AMP; Noble"	0.0956303
RJR	0.0952387
Starbucks	0.093834
GANNETT	0.0936558
Ikea	0.0936059
"Adobe Systems"	0.0929548
"computer store"	0.0929368
UAL	0.0908696
"Neiman Marcus"	0.0903174
Toysmart.com	0.0897413
Unisys	0.0890611
Gymboree	0.0875081
Roberds	0.0863808
Starwood	0.0861248
"discount chain"	0.0854114
"Computer Associates"	0.0847001
Priceline.com	0.0840472
Pepsico	0.0828232
"Advanced Micro"	0.0813986
Penney	0.081369
"Saks Fifth Avenue"	0.0808998
Echostar	0.0808689
Amgen	0.0802967
"Fred Meyer"	0.0796346
"Texas Instruments"	0.0792423
Asda	0.078977
"Krispy Kreme"	0.0789438
WorldCom	0.0788318
Cabletron	0.0783959
Autodesk	0.0783349
"Ford Motor"	0.0782789
Amazon.com	0.078029
CDnow	0.0778422
EMC	0.07735
Schlumberger	0.0771279
"Sony Corp."	0.077086
Enron	0.0768157
Williams-Sonoma	0.0766708
"Food Lion"	0.0765966
Scientific-Atlanta	0.076487
"Compaq Computer"	0.0764433
McKesson	0.0763598
Gillette	0.0755797
CMGI	0.0755337
Weyerhaeuser	0.0753291
"Siemens AG"	0.0750249
"Dell Computer"	0.0748965
Motorola	0.0743746
SmithKline	0.0742186
"Banana Republic"	0.0740749
WPP	0.0725399
Supercenters	0.0722217
"Wal-Mart Stores Inc."	0.072126
"Eddie Bauer"	0.0718785
Woolworth	0.0717369
Kodak	0.0715644
"T Corp."	0.0711426
Conseco	0.0701754
Nextel	0.0699026
"FAO Schwarz"	0.0697441
"Exxon Mobil"	0.0694777
Buy.com	0.069455
"Levi Strauss &AMP; Co."	0.0694366
"Tower Records"	0.0693239
Mattel	0.0690985
Broadcom	0.068803
Wachovia	0.0686258
ALZA	0.0684934
Georgia-Pacific	0.0683781
Humana	0.0683679
Lowe	0.0682688
Biogen	0.0681677
Amway	0.0680765
"American Express"	0.0679322
Roebuck	0.0679041
oracle	0.067691
"Pottery Barn"	0.0674989
"J. Crew"	0.0673839
SBC	0.0671369
BankAmerica	0.067123
"L.L Bean"	0.066858
"discount store"	0.0667631
Maytag	0.0663302
Aetna	0.0663244
"Con Ed"	0.0662326
DoubleClick	0.0661747
"Gap Inc."	0.0660256
Toysmart	0.0659839
Allstate	0.0659028
"BP Amoco"	0.0658672
"First Union"	0.0657474
Kellogg	0.0657332
GPU	0.0656944
Litton	0.0656221
"Sprint PCS"	0.0654821
Checkfree	0.0654254
Cisco	0.0651638
Nortel	0.0651253
"Sara Lee"	0.0650451
"Procter &AMP; Gamble"	0.0649631
discounter	0.0649584
AHP	0.0647761
Hasbro	0.0647016
ENTERGY	0.06457
SGI	0.064527
Barnesandnoble.com	0.064485
"Southern Co."	0.0644583
Merck	0.0643319
"Planet Hollywood"	0.0641514
"Campbell Soup"	0.0641053
Lukoil	0.0640947
AMR	0.0637666
Gilead	0.0633788
"Gillette Co."	0.062942
Mervyn	0.0626666
Dupont	0.0621247
"Waste Management"	0.0620444
Adelphia	0.0619476
"Levi Strauss"	0.0619153
"General Electric"	0.0618021
blockbuster	0.0617303
Fedex	0.0615986
"Johnson &AMP; Johnson"	0.0614886
Norwest	0.0613839
Ahold	0.0613613
McCaw	0.0611873
Hewlett-Packard	0.0609689
UBS	0.060892
"consumer electronics"	0.0608761
Priceline	0.0608677
TYCO	0.0607767
"Reed Elsevier"	0.0605875
Inc.	0.0604297
Aegon	0.0603802
"chain store"	0.0602945
Merrill	0.0601327
Siemens	0.0601213
"Time Warner"	0.0601092
Avon	0.0600031
AstraZeneca	0.059955
Providian	0.0598534
Compaq	0.0598489
Cigna	0.0597447
Levi's	0.0597206
BellSouth	0.0594819
"Ford Motor Co."	0.0594171
Qualcomm	0.0592854
McLane	0.0592611
Saks	0.0592009
TELLABS	0.0589794
Akamai	0.0588887
Novell	0.0587508
Raytheon	0.0587136
BCE	0.0587118
Scripps	0.0586533
Honeywell	0.0585786
Ba	0.0584477
Airtouch	0.0584333
Lockheed	0.0584304
VENATOR	0.0583667
N@K	0.0582503
"Network Associates"	0.0582141
Macy	0.0580838
"Delta Air Lines"	0.058083
"Eli Lilly"	0.0580181
))
("Circuit Court" (desc 1860.44) (sims
"District Court"	0.242353
SJC	0.21882
"appellate court"	0.206019
"Federal District Court"	0.205676
"court of appeals"	0.193756
"Court of Appeal"	0.187115
"Supreme Judicial Court"	0.180104
"appeals court"	0.177273
"U.S. District Court"	0.176966
"Appellate Division"	0.174143
"US Supreme Court"	0.171689
"lower court"	0.169815
"National Court"	0.165475
"World Court"	0.164554
"U.S. Bankruptcy Court"	0.164217
Korman	0.162277
"state supreme court"	0.15775
"superior court"	0.154175
"federal court"	0.152718
"Law Lords"	0.147631
"Texas Supreme Court"	0.146649
"US District Court"	0.146366
"juvenile court"	0.1424
Lamberth	0.138038
prvs	0.132251
Teresi	0.131745
"trial court"	0.129389
"Constitutional Court"	0.126765
"high court"	0.12349
"U.S. Supreme Court"	0.123319
Feerick	0.120568
"World Conference"	0.116823
"Plenary Session"	0.115481
Ld-Writethru	0.113858
PUC	0.106125
ld	0.105668
"criminal court"	0.104027
Bosman	0.103485
Baer	0.102706
AMM	0.100525
NLRB	0.0999302
"Family Court"	0.0957141
Garrity	0.0946167
Patel	0.0942362
"European Court of Human Rights"	0.0904492
"House of Lords"	0.0904023
"European Court of Justice"	0.0900273
ICTR	0.0872988
"Infantry Battalion"	0.0856681
"federal district"	0.0852258
Folsom	0.0847159
"Broward County"	0.0843829
"World Petroleum Congress"	0.0832072
EEOC	0.0830443
"International Criminal Tribunal for Rwanda"	0.0829229
Edelstein	0.0825877
arbitrator	0.0809153
"General Services Administration"	0.080794
"military court"	0.0805488
"Infantry Division"	0.0797299
"International Symposium"	0.0793317
FINA	0.0793124
"Lahore High Court"	0.0785855
"Summer Olympic Games"	0.0766948
"National Labor Relations Board"	0.0755639
"Parades Commission"	0.0755256
disbarment	0.0738676
"Southern Poverty Law Center"	0.0737888
Magistrate	0.0734593
"South Pacific Forum"	0.0728042
Ruthardt	0.0726866
"General Committee"	0.0720025
"Immigration and Naturalization Service"	0.0717323
"Court of Arbitration"	0.0711553
"International Congress"	0.0710258
"Fulton County"	0.0707961
"Federal Reserve Bank"	0.0695942
USATF	0.0688213
"Jack Straw"	0.0683384
"Ministerial Meeting"	0.0683129
ITC	0.0677718
"World Health Assembly"	0.0677045
FEC	0.0670788
desegregation	0.0665121
"U.S. Immigration and Naturalization Service"	0.0662474
"Nevada Athletic Commission"	0.0661448
CFA	0.0659895
"International Amateur Athletic Federation"	0.0657385
"Arab Parliamentary Union"	0.0657299
qtr	0.0655596
ITF	0.0654888
Synod	0.0652252
ISU	0.065027
"Court of Final Appeal"	0.0649334
"Annual Meeting"	0.0640782
Texarkana	0.063695
rainout	0.0631017
"Harris County"	0.0625456
"International Skating Union"	0.0620094
IAAF	0.0618333
"Williamson County"	0.0616252
"World AIDS Conference"	0.0609932
"administrative law"	0.0602758
"Legion of Honor"	0.0595636
Rubinstein	0.0594888
CFTC	0.0594646
Nickerson	0.0594385
"House International Relations Committee"	0.0592766
"House Commerce Committee"	0.0592537
"Santa Clara County"	0.0589855
Ritz-Carlton	0.0588767
F.A	0.0588006
"High Museum of Art"	0.0587504
"Travis County"	0.0584622
FCC	0.0581521
"U.S. Senate"	0.0580024
"National Games"	0.0579704
"Andersen Consulting"	0.0578975
"EU Commission"	0.0578512
rr	0.0574532
"Appropriations Committee"	0.0571302
Yosef	0.0563854
"Asian Winter Games"	0.0562205
"Senate Judiciary Committee"	0.0561664
Das	0.0560956
"National Party Congress"	0.0559106
"BancBoston Robertson Stephens"	0.0558901
"National People"	0.0550005
"Cook County"	0.0549929
"U.S. Congress"	0.0548011
"Rules Committee"	0.0544228
"Board of Supervisors"	0.0542641
"World Women"	0.0540021
"House Appropriations Committee"	0.0529306
"Special Session"	0.0529057
FIBA	0.0528612
Whipple	0.0527439
"major league season"	0.0526613
"Hyatt Regency"	0.052115
"World Congress"	0.0520897
"Senate Governmental Affairs Committee"	0.0517492
"Commerce Committee"	0.0516318
"International Court of Justice"	0.0515956
"NationsBanc Montgomery Securities"	0.0515624
PSC	0.0515467
"Olympic Trials"	0.0514294
"Los Angeles City Council"	0.0513981
plenum	0.0513198
"Field Poll"	0.0510306
"Miami-Dade County"	0.0509699
"Football Association"	0.0509638
"World Swimming Championships"	0.0508506
"International AIDS Conference"	0.0508499
placer	0.0507336
UUP	0.0505318
Dwyer	0.0503204
"Jackson County"	0.0502983
"Electronic Frontier Foundation"	0.0501679
"Asian Football Confederation"	0.0500879
"Ministerial Conference"	0.0496842
Rehnquist	0.0495777
"O'Hare International Airport"	0.0495667
"International Conference"	0.0493255
Panchen	0.0490849
"Public Service Commission"	0.0487415
Paralympics	0.0486892
"European Swimming Championships"	0.0486539
Valeo	0.0485246
Spector	0.048453
Comelec	0.0482034
"Department of Corrections"	0.0481257
"ABN AMRO"	0.0480987
"Judiciary Committee"	0.0475616
Karmapa	0.0475386
"CPC National Congress"	0.0474727
CEC	0.047306
"Deloitte &AMP; Touche"	0.0471213
"Senate Banking Committee"	0.0470692
"Truth Commission"	0.047042
"Ritz-Carlton Hotel"	0.0470334
"Carter Center"	0.0468371
"Western Open"	0.0467845
"Banking Committee"	0.0466657
grafs	0.0464886
"US House"	0.0464082
IGC	0.046303
"farmer's market"	0.0461014
Whyte	0.0457591
"Senate Appropriations Committee"	0.0457181
"Dallas County"	0.0456014
"Senate Commerce Committee"	0.0455884
CAF	0.0454597
Ave	0.0454394
Posner	0.0453374
"International Criminal Tribunal"	0.0452272
"Foreign Relations Committee"	0.0451717
"Tarrant County"	0.0451583
"Interstate @@@"	0.0450327
"Fair Grounds"	0.0449151
percentile	0.0447394
))
(circuitry (desc 8029.19) (sims
transistor	0.116266
innards	0.0971696
"integrated circuit"	0.0889389
"circuit board"	0.088927
receptor	0.0859444
sensor	0.0845081
adapter	0.0839131
hardware	0.0832415
microchip	0.0831369
processor	0.0820886
chip	0.078968
wiring	0.0777211
antenna	0.0748994
semiconductor	0.0743722
microprocessor	0.0721071
neuron	0.0704122
jacks	0.0703602
"phone system"	0.0695756
"hard disk"	0.0690201
"computer program"	0.0685832
modem	0.0677326
"software system"	0.0672142
peripheral	0.0668193
algorithm	0.0655823
firewalls	0.0653443
scanner	0.0652087
"nerve cell"	0.0651026
"communications network"	0.0650791
amplifier	0.0644014
"air bubble"	0.0642165
motherboard	0.0640413
transmitter	0.062923
"programming language"	0.0627081
motherboards	0.0626511
"weapons system"	0.0625202
"electronic device"	0.0625119
"surveillance system"	0.0615547
"storage device"	0.061351
"disk drive"	0.0613161
connector	0.0608677
interface	0.0607486
filter	0.0605632
"memory chip"	0.0604189
keyboard	0.0602233
spectrometer	0.0598435
router	0.0597713
"radio transmitter"	0.0597702
gyroscope	0.0597141
"circulatory system"	0.0591277
"control system"	0.0590194
gadget	0.0587815
stylus	0.0583551
"data system"	0.0581434
"communication system"	0.0577335
"computer hardware"	0.0576796
"blood vessel"	0.0575781
pathway	0.0574065
thermostat	0.0572863
V-chip	0.0571812
"point system"	0.0569468
circuit	0.0567159
"ventilation system"	0.0566493
"X-ray machine"	0.0565883
laser	0.056568
handset	0.05613
"alarm system"	0.0560953
stimulation	0.0556945
dopamine	0.0554786
avionics	0.0551413
"scoring system"	0.0550909
"software package"	0.0549592
transponder	0.054822
implant	0.054769
imaging	0.054578
"hearing aid"	0.0540245
capability	0.0537138
tuner	0.0536907
"control panel"	0.0533805
"voting system"	0.0533385
cortex	0.0530082
networking	0.0528789
latch	0.05284
defect	0.0522687
"biological clock"	0.0522651
antibody	0.0522116
"security system"	0.0521776
"transportation system"	0.0514138
"information system"	0.0513118
pacemaker	0.0512911
gadgetry	0.0512815
machinery	0.0512045
fuse	0.0509728
workings	0.0508571
"electrical system"	0.0508043
"software product"	0.0503119
wallop	0.0500825
insulator	0.0500496
miniaturization	0.050028
"communications equipment"	0.0499632
optic	0.0499307
"chess game"	0.0498797
"computer code"	0.0498674
enzyme	0.0498276
electronics	0.0498222
"weapon system"	0.0496597
"speaker system"	0.0494551
"communications technology"	0.0494197
"propulsion system"	0.0494082
Chemistry	0.0490704
transformer	0.0488095
"computer equipment"	0.0487695
"phone line"	0.0486414
documentation	0.048462
apparatus	0.0481916
spreadsheet	0.0480535
"computer language"	0.0479632
"operating system"	0.0476881
wizardry	0.0476721
"solar cell"	0.0476574
"nervous system"	0.047656
"circuit breaker"	0.0476507
lining	0.0475075
gasket	0.0474671
module	0.0474312
"audio system"	0.0472553
know-how	0.0471289
molecule	0.0470471
filigree	0.047025
silicon	0.0469678
simulation	0.0469644
detector	0.0469624
motor	0.0469269
"life form"	0.0467898
"aircraft part"	0.0466135
"spy satellite"	0.0465612
alternator	0.0465572
valve	0.0464874
"transmission line"	0.0464469
recorder	0.0464451
"communications service"	0.0463747
"safety feature"	0.0462767
Robot	0.0462538
"fuel cell"	0.0461802
"telephone system"	0.0461512
graphics	0.0460606
scaffold	0.0460133
notepad	0.0458339
earpiece	0.0458307
copier	0.0457305
instrumentation	0.0456937
keypad	0.0456272
"accounting system"	0.0455998
"user interface"	0.0455992
"artificial intelligence"	0.0455451
wafer	0.0455052
"early warning system"	0.0454911
tissue	0.0453857
"tool kit"	0.0453703
converter	0.0452898
"sound system"	0.0452565
"floor plan"	0.0450947
"employment contract"	0.0450669
"central nervous system"	0.045055
clot	0.0450024
disk	0.0449484
printer	0.0448937
malfunction	0.0448772
playback	0.0448412
"communication network"	0.0448387
functionality	0.0448332
"tv set"	0.0448081
byte	0.0445691
"electronic equipment"	0.0445141
socket	0.0444135
plumbing	0.0443844
storage	0.0443579
record-keeping	0.0442508
"storage space"	0.0442352
logic	0.0441979
"fuel system"	0.0440815
microphone	0.0439458
speedometer	0.0436747
audio	0.0435918
capacitor	0.0434503
workstation	0.0433001
"test equipment"	0.0432711
"computer network"	0.0432532
sonar	0.0432418
kit	0.0431666
compass	0.0430323
schematic	0.0429684
mem	0.0428664
prototype	0.0428365
"time clock"	0.0427028
horsepower	0.0426874
"essential oil"	0.0426821
calculator	0.0426529
"mechanical device"	0.0426433
"neutron bomb"	0.0425536
chassis	0.0424958
))
(Circular (desc 16012.1) (sims
communique	0.122202
decree	0.120444
directive	0.118772
"white paper"	0.112351
memorandum	0.10159
memo	0.0999188
"open letter"	0.0957299
"news release"	0.094964
notice	0.0948758
bulletin	0.0919682
"press release"	0.0903593
Zou	0.0843981
brochure	0.0837394
pamphlet	0.0826463
regulation	0.0816252
booklet	0.0796998
leaflet	0.0779801
"Joint Declaration"	0.0778024
manifesto	0.0776427
document	0.076663
prospectus	0.0762128
editorial	0.0760513
Meguid	0.0760236
gazette	0.0758427
guideline	0.0754621
Cui	0.0752598
Ikimi	0.0735793
Sumaye	0.0729899
Zeng	0.0719658
"proxy statement"	0.0717048
Declaration	0.0713457
letter	0.069346
Kasoulides	0.0689332
Velayati	0.0688003
"administration official"	0.0676606
SDPC	0.0671469
"newspaper ad"	0.0669958
commentary	0.0664001
"U.N. Resolution @@@"	0.065716
resolution	0.0649421
Brittan	0.0647269
"Lusaka Peace Accord"	0.0646845
Khai	0.0644557
Piot	0.0642299
"newspaper advertisement"	0.0641329
Tsang	0.0639792
Jayakumar	0.0634225
proclamation	0.0631945
article	0.0615997
"Resolution @@@"	0.0609176
"Sino-British Joint Declaration"	0.0607671
Chissano	0.0606427
wen	0.0605457
Jovanovic	0.0604392
summary	0.0604304
Satcher	0.0599679
Malu	0.059803
Mkapa	0.0597843
Boueiz	0.0597082
Hu	0.059582
"Organization Department"	0.0592553
protocol	0.0592445
Vice-Premier	0.0583884
recommendation	0.0578628
instruction	0.0574444
Shi	0.0572616
"Policy Address"	0.0567652
Abdel-Meguid	0.0565857
Saleh	0.056378
handbook	0.0558857
handout	0.0557334
Jia	0.0555832
"State Council"	0.0553906
citation	0.0546817
Leghari	0.0545225
"Lee Hsien Loong"	0.0543247
"official document"	0.0538672
Wei	0.0536801
edict	0.0536527
statistic	0.0533903
Nzo	0.0528022
petition	0.0527932
"progress report"	0.0526947
Guterres	0.0526855
Jiang	0.052495
Rifkind	0.0523623
Zhu	0.0520139
"Russian Foreign Ministry"	0.0519181
"Ministry of Public Security"	0.0519012
"Los Angeles City Council"	0.0518321
plenum	0.0517738
notification	0.0517123
affidavit	0.0515992
"code of conduct"	0.0515535
"Basic Law"	0.0515326
"Consumer Product Safety Commission"	0.0514993
"Sino-Portuguese Joint Declaration"	0.0513116
Mustafa	0.0512986
"Turkish Foreign Ministry"	0.0511862
"U.S. Constitution"	0.0509531
Ordinance	0.0506879
FDA	0.0504425
licence	0.0504246
teleconference	0.0503608
"Article @@"	0.0502753
Gurirab	0.0502272
subpoena	0.0501735
fax	0.0501568
statistics	0.0500507
transcript	0.0500319
ministry	0.0499315
Goh	0.0498838
manual	0.0497101
"U.N. Security Council Resolution @@@"	0.0496395
"plan of action"	0.0496064
audit	0.049478
Westendorp	0.0493237
Stamps	0.0492636
Dini	0.0492631
Shen	0.0491722
obituary	0.0488619
bylaw	0.0485579
"Khin Nyunt"	0.0484427
telegram	0.048414
summons	0.0484063
Severino	0.0483544
Qiao	0.0482844
questionnaire	0.0482523
ultimatum	0.0482146
"de Charette"	0.0481927
newsletter	0.0481648
Qu	0.0480358
Dai	0.0480284
"criminal law"	0.0479518
encyclical	0.0478436
Nasrallah	0.0477081
"Political Bureau"	0.0476595
"medical report"	0.047478
"Ministry of Agriculture"	0.0474488
Axworthy	0.0474382
Khamenei	0.0471341
Prewitt	0.0471247
stipulation	0.047002
Moi	0.0469377
"Xie Zhenhua"	0.0469345
"U.S. Defense Department"	0.0468228
Brundtland	0.0464419
"Lusaka Protocol"	0.0464176
injunction	0.0463383
"Resolution @@@@"	0.0463355
"development plan"	0.0461202
"Wei Jianxing"	0.0461168
"United Nations Charter"	0.0460889
monograph	0.0457205
Qian	0.045704
flier	0.0455778
Alatas	0.0454618
Majali	0.0453116
Tian	0.045197
dossier	0.0451967
"British Foreign Office"	0.0451406
"report card"	0.0448832
Cem	0.0448741
mailings	0.0448728
advertisement	0.0448363
covenant	0.0448055
Eizenstat	0.0447535
Santer	0.0447504
"Taiwan Affairs Office"	0.0446812
Xie	0.044578
"letter of intent"	0.0445046
Ramos	0.0444524
"inaugural address"	0.0444334
"Jiang Zemin"	0.0443266
filing	0.0443218
Klima	0.0441567
MOU	0.0440248
Chi	0.0439876
Siazon	0.0439608
Duisenberg	0.0439448
"Ministry of Education"	0.0438721
Erwin	0.0437866
"State Education Commission"	0.0437148
constitution	0.043681
Kuchma	0.0435539
"Secretary General Boutros Boutros-Ghali"	0.0435375
"written agreement"	0.043529
Politburo	0.0434442
code	0.0433818
CWC	0.0432981
clause	0.0432268
Wu	0.0431802
"Article @"	0.0430704
"Central Commission for Discipline Inspection"	0.0427109
MII	0.0426846
Sha	0.0426742
Denktash	0.042418
Constantinescu	0.0423698
SETC	0.0423669
"Secretary General Esmat Abdel-Meguid"	0.0423533
))
(circulation (desc 48794.9) (sims
readership	0.151391
distribution	0.107087
flow	0.103353
enrollment	0.0994837
sale	0.0974286
viewership	0.0951791
attendance	0.0936023
"market share"	0.0928301
population	0.0922768
printing	0.0879687
consumption	0.0877552
employment	0.0873442
production	0.0840559
"work force"	0.0838247
inventory	0.0814838
"retail sale"	0.0810118
ridership	0.0785017
"vehicle sale"	0.0778055
volume	0.0766862
"seating capacity"	0.0754526
workforce	0.0753281
export	0.0745885
revenue	0.0741911
supply	0.0736745
membership	0.0735614
output	0.073303
investment	0.0730442
utilization	0.072372
publication	0.071433
availability	0.070881
payroll	0.0704894
"oil production"	0.0695998
"money supply"	0.0695053
productivity	0.0692751
sales	0.0692309
marketing	0.0691655
inflow	0.0691193
pricing	0.0691007
storage	0.0689972
"export sale"	0.0689575
import	0.068927
Advertising	0.0682558
usage	0.0676959
"bond price"	0.0676443
procurement	0.0673576
"managing editor"	0.067097
"oil price"	0.0669828
growth	0.0668254
dissemination	0.0667385
caseload	0.066475
subscriber	0.0661508
"birth rate"	0.0659629
operation	0.065579
transportation	0.0655292
outflow	0.0654974
reserve	0.0653109
"profit margin"	0.0652895
income	0.065035
capitalization	0.0648009
unemployment	0.0646416
"tax collection"	0.0645367
profit	0.0644445
edition	0.0640368
fertility	0.063959
manufacturing	0.0638913
expenditure	0.0638804
"voter turnout"	0.0637252
earnings	0.0633647
traffic	0.0631819
transaction	0.0630692
enrolment	0.0627982
"personal income"	0.062673
price	0.0626221
"unemployment rate"	0.0625076
shipment	0.062447
"production cost"	0.0624416
"truck sale"	0.0624107
commerce	0.0624043
GDP	0.062287
delivery	0.0622863
"exchange rate"	0.0620691
"occupancy rate"	0.0620207
business	0.061997
total	0.0619511
profitability	0.0618478
registration	0.0617957
turnout	0.0608778
receipt	0.060828
development	0.0607913
taxation	0.0607887
trading	0.0606947
transport	0.060676
yield	0.0603871
wage	0.0600688
"labor force"	0.0600404
deposit	0.0600361
"standard of living"	0.0600137
importation	0.059933
"poverty rate"	0.0597907
"home sale"	0.0595772
"life expectancy"	0.0594257
capacity	0.0593352
"net income"	0.0592429
"business activity"	0.0592034
value	0.058975
"water supply"	0.0587446
shipping	0.0586596
Tonnage	0.058542
remittance	0.0583541
"net profit"	0.0583516
"inflation rate"	0.0583359
"crime rate"	0.058334
currency	0.0582851
manufacture	0.0582789
spending	0.0582703
editor	0.0582648
rating	0.0582119
emission	0.0580107
cultivation	0.0579866
percentage	0.0577669
temperature	0.0577198
saving	0.0573072
"production capacity"	0.0573025
rainfall	0.057229
rate	0.0572149
activity	0.0571348
processing	0.056885
financing	0.0568752
purchase	0.0568299
"asset value"	0.0568265
"market value"	0.0567709
tourism	0.0567304
popularity	0.0566162
lending	0.0565413
"producer price"	0.0564456
"rate of inflation"	0.0563563
subscription	0.0560772
"stock market"	0.0560749
sector	0.0560296
"growth rate"	0.05579
allocation	0.0557842
competitiveness	0.0557825
backlog	0.0557368
asset	0.055714
ownership	0.0556279
portfolio	0.0555963
budget	0.0555907
coverage	0.0555759
ratio	0.0555488
economy	0.0553303
"mortgage rate"	0.0552492
"retail price index"	0.055238
"consumer price index"	0.0551234
fund	0.0550865
inflation	0.0550511
"fertility rate"	0.0550308
quality	0.0549792
management	0.0549659
climate	0.0548405
"earning per share"	0.0548367
"trading activity"	0.0548062
"tax revenue"	0.0545011
"revenue growth"	0.054299
industry	0.0542359
issuance	0.0541845
intake	0.0541822
"operating cost"	0.0541471
page	0.0540178
toll	0.0539859
CPI	0.0538999
metabolism	0.0536748
"product development"	0.0533028
amount	0.0532844
communication	0.0532022
"consumer demand"	0.0531352
"retail price"	0.053133
"quality control"	0.0531011
density	0.0529911
"labor cost"	0.0528673
joblessness	0.0528351
stockpile	0.0528248
efficiency	0.0527668
health	0.0527501
access	0.0527242
refining	0.0526683
acreage	0.0525235
incidence	0.0524288
"pretax profit"	0.0524028
"commercial activity"	0.0522912
funding	0.0522852
influx	0.0522673
banking	0.052236
construction	0.052014
concentration	0.051963
pocket	0.0519419
liquidity	0.0519353
debt	0.0518942
newspaper	0.0517714
"factory order"	0.0516591
resource	0.0515811
))
("circulatory system" (desc 1005) (sims
"body politic"	0.0996182
"digestive tract"	0.0992192
"digestive system"	0.0903919
thyroid	0.0867202
rinderpest	0.0851338
"inner ear"	0.0741265
"central nervous system"	0.0734264
USSR	0.0713034
"nervous system"	0.0706577
"hair follicle"	0.0680775
tropics	0.0679561
"city block"	0.0655076
hemoglobin	0.0645239
"biological clock"	0.0642725
wrongdoer	0.0638714
Patrimony	0.0633059
mitochondria	0.0628384
cannonball	0.0596923
toolbox	0.0595176
circuitry	0.0591277
intestine	0.0588991
"elephant population"	0.0574433
"circadian rhythm"	0.0572461
"support system"	0.0571503
"sales staff"	0.0571409
retina	0.0570929
fief	0.0559568
inhumanity	0.0553506
Zyvox	0.0550263
Zonolite	0.0546237
"ball club"	0.054516
whistleblowers	0.0543882
chromosome	0.0539033
"storage room"	0.0530838
"Georges Bank"	0.0526248
neuron	0.0521781
"blood cell"	0.052063
egotism	0.0516119
"burden of proof"	0.0515646
"margin call"	0.051458
bio-diversity	0.0513058
"cast of characters"	0.0512043
bequest	0.0510286
"wage scale"	0.051003
lobe	0.0508793
Kurth	0.0508496
"bone marrow"	0.0505701
resistence	0.0493339
"Iraqi Kurds"	0.0492963
"Young Turk"	0.0492202
"Yangtze River Valley"	0.0491046
"red blood cell"	0.0490405
"supply line"	0.048929
"sea lane"	0.0487255
Hearn	0.0486327
armory	0.0485364
"body fluid"	0.0485262
citizenry	0.0479864
upriver	0.0472125
"oil slick"	0.0470617
"early childhood"	0.0469503
slapper	0.046843
"particle accelerator"	0.0467275
"fly rod"	0.0466051
"catalytic converter"	0.0463213
"Ottoman Empire"	0.0463071
regionalism	0.0461159
artificiality	0.0460429
oligarchy	0.0458245
"transportation system"	0.0455407
"tax system"	0.0454615
"radio telescope"	0.0453392
"art collection"	0.0451889
exigency	0.0448554
"brain stem"	0.0448403
"business processe"	0.0447917
wholeness	0.044479
playlist	0.0444007
"security interest"	0.044301
"human race"	0.0441745
"ruling class"	0.0441563
caseloads	0.0441222
"social structure"	0.0440922
"data file"	0.0440884
"Outer Banks"	0.0440124
"ice floe"	0.0439393
"military mission"	0.0437895
"Eastern Seaboard"	0.0435976
"bag of tricks"	0.0434091
retinue	0.0433306
non-Albanians	0.0432286
atoll	0.0432069
hatchlings	0.0431844
bloodstream	0.0431825
"sphere of influence"	0.0430214
"weak point"	0.0427971
noncombatant	0.0427967
"Thomson Multimedia"	0.0427592
"mechanical device"	0.0427445
"cost structure"	0.0427086
deodorant	0.0425778
"electric bill"	0.0424941
"positive feedback"	0.0424335
"hundred miles"	0.0423689
"little finger"	0.0423668
spiel	0.0421206
Penders	0.0421191
"HIV/ AIDS"	0.0420968
"rare bird"	0.0420724
"engagement ring"	0.0420333
lactose	0.0420264
cropland	0.0420254
biosphere	0.0417799
smooch	0.0417481
"commercial enterprise"	0.0417031
"bond rating"	0.0416948
"intellectual property rights"	0.0416776
"three units"	0.0416118
footbridge	0.0414781
campsite	0.0414404
subconscious	0.0413318
"heart muscle"	0.0412774
"social contract"	0.0412628
"nerve cell"	0.0411782
fiefdoms	0.0411693
whistle-blowers	0.0411241
"professional life"	0.0410779
"burial ground"	0.041072
"debt market"	0.0410297
"Hainan Island"	0.0409629
ECN	0.0409574
"balanced diet"	0.0405988
upland	0.0404617
"piece of music"	0.0404486
"psychological warfare"	0.0403846
"tropical rain forest"	0.0403396
"rating system"	0.0403103
"King Abdullah Bin Hussein"	0.0402946
"sense of shame"	0.040147
"Omnicom Group"	0.0401048
"computer business"	0.0400197
))
(circumcision (desc 5138.68) (sims
mutilation	0.132561
polygamy	0.127218
Caesarean	0.109797
vasectomy	0.0995837
ordination	0.098375
euthanasia	0.0982345
Haj	0.0938433
baptism	0.0900718
sterilization	0.0898517
exorcism	0.089429
initiation	0.0887917
mammography	0.0878682
"birth control"	0.0875461
"corporal punishment"	0.0851217
LASIK	0.0847299
burial	0.0843331
genital	0.0836491
"cosmetic surgery"	0.082363
cannibalism	0.0802626
"plastic surgery"	0.0783048
vaccination	0.0773476
mastectomy	0.0769828
Hajj	0.0762039
Contraception	0.0756535
abortion	0.07536
malnutrition	0.0744943
gonorrhea	0.0738151
"surgical procedure"	0.0737914
witchcraft	0.0720024
"belly dancer"	0.0713751
immunization	0.071242
"family planning"	0.0710689
angioplasty	0.0707486
purification	0.0707052
homeownership	0.0701367
C-section	0.0687942
infertility	0.0685202
"medical check-up"	0.068475
amputation	0.0683948
prostitution	0.068026
"lead poisoning"	0.0678597
recidivism	0.067805
menopause	0.0678035
acupuncture	0.0674037
bonding	0.0666844
liposuction	0.0663727
intermarriage	0.0657453
suicide	0.065535
cremation	0.0654683
tetanus	0.0651122
"sex hormone"	0.0644013
triage	0.0641506
"capital punishment"	0.062834
electrocution	0.0625987
feeding	0.0620752
"Falun Gong"	0.0619864
abduction	0.0616733
hegemonism	0.0613983
fertility	0.0613889
syphilis	0.0610988
"population control"	0.0608366
"artificial insemination"	0.0607756
anemia	0.0600253
Qigong	0.0600058
segregation	0.0598472
abstinence	0.0596436
"sexual harassment"	0.059614
telemedicine	0.0595744
spanking	0.0592741
leprosy	0.0591215
diarrhoea	0.0591161
conscription	0.0589884
"drug abuse"	0.0588415
mitzvah	0.0587411
kidnapping	0.0586569
"sexual activity"	0.0585799
smoking	0.0585353
"blood transfusion"	0.0584657
radiotherapy	0.0583696
molestation	0.0579621
vaulter	0.0579442
lycopene	0.0578202
psychotherapy	0.057593
assimilation	0.0571842
"oral sex"	0.0563756
estrogen	0.0562098
deejays	0.0561702
strangulation	0.0560393
illiteracy	0.0555282
raloxifene	0.0553344
miscarriage	0.0552102
mortality	0.0551911
remarriage	0.0550627
desecration	0.0550103
drinking	0.0550023
Wicca	0.0549183
"power politics"	0.054839
"breast implant"	0.0545449
pronoun	0.0544597
"estate tax"	0.0542003
decontamination	0.0541353
"health check"	0.0541333
"wedding ceremony"	0.0541056
Obesity	0.0539872
"medical exam"	0.053981
bronchitis	0.0539476
deforestation	0.0538975
infanticide	0.0538141
fertilization	0.0536719
discrimination	0.0535601
promiscuity	0.0533665
screening	0.0532317
hypnosis	0.0532302
"child abuse"	0.0532235
enrolment	0.0531334
tamoxifen	0.0530178
piracy	0.0529311
maiming	0.0529233
rollovers	0.05289
legalization	0.052803
augmentation	0.0527887
"double standard"	0.052557
IDD	0.0524805
"skin cancer"	0.05218
malignancy	0.0520264
diabetes	0.0518902
"Human Immunodeficiency Virus"	0.0516683
"drug addiction"	0.0516173
biopsy	0.0515731
householder	0.0515701
transfusion	0.0514851
protectionism	0.0514242
overdraft	0.0513854
voodoo	0.0513097
adoption	0.0512598
"lung cancer"	0.0512299
overconfidence	0.0511913
electrocardiogram	0.0511216
dialysis	0.0510977
"sexual assault"	0.0510687
striptease	0.051045
"power failure"	0.0510362
lockdown	0.0507425
"kidney stone"	0.0507339
nevirapine	0.0506908
mutation	0.0504979
mammogram	0.0504562
incarceration	0.0502996
regimen	0.0502994
"chess player"	0.050286
MTBE	0.0502169
leukemia	0.050166
companionship	0.0500299
celibacy	0.0499268
tuberculosis	0.0498185
dysfunction	0.0498144
handoff	0.0497204
"right whale"	0.0497094
poaching	0.0496355
homosexuality	0.0494548
Judaism	0.0494208
"substance abuse"	0.0492732
logging	0.0490517
pregnancy	0.0490401
checkup	0.0488726
targeting	0.04882
andro	0.0487807
PNTR	0.048779
retrenchment	0.0486823
degradation	0.0483522
hemorrhage	0.0482241
infidelity	0.048201
shortsightedness	0.0481431
arousal	0.0481016
spraying	0.0480796
poisoning	0.0480442
recycling	0.0479564
"mental illness"	0.0479078
Helms-Burton	0.0478522
posterior	0.0477784
nudity	0.0476354
"medical examination"	0.0474999
"alcohol abuse"	0.0474966
"racial segregation"	0.0474309
detoxification	0.0473995
implantation	0.047348
self-censorship	0.0472516
yoga	0.0472313
trachoma	0.047229
acne	0.0472038
CPR	0.0471641
"cardiovascular disease"	0.0471433
cantor	0.046994
bathing	0.0469909
slavery	0.0468965
butchery	0.046859
meditation	0.0468325
olestra	0.0468291
chimp	0.0467691
cutting	0.0466564
))
(circumference (desc 3021.57) (sims
diameter	0.148554
width	0.0828925
curvature	0.0582186
"drainage area"	0.0514546
bigness	0.0485256
Hunchback	0.0463524
girth	0.0461615
thickness	0.0435407
slapper	0.0422232
joining	0.0419578
wingspan	0.0419084
))
(circumnavigation (desc 1612.48) (sims
salchow	0.0812344
"yacht race"	0.0798412
multipolarization	0.0776426
"field work"	0.0725056
airdrop	0.0697146
"bond offering"	0.068159
angioplasty	0.0637326
"space walk"	0.0633748
damming	0.0620044
multi-polarization	0.0618241
"Bertrand Piccard"	0.0560924
"Erie Canal"	0.0559991
ascent	0.0547408
demimonde	0.0540705
"triple play"	0.0537759
divestment	0.0535646
phaseout	0.0530721
"Brian Jones"	0.0527246
retooling	0.052593
flotation	0.052456
"nonstop flight"	0.0521182
laughingstock	0.0495114
pullbacks	0.0494739
drawdown	0.0480867
"tender offer"	0.0479881
reconfiguration	0.0470834
underbelly	0.0467842
"case history"	0.046548
hotspots	0.0462099
earthwork	0.0456386
schoolwork	0.0450913
decoding	0.044864
revamping	0.0448599
pillaging	0.04472
materialization	0.0443103
COMINGS	0.0442415
"fund-raising campaign"	0.0441543
"civic duty"	0.043999
toehold	0.0439012
sequencing	0.0438326
sabbatical	0.0437795
recapitalization	0.0437309
sextet	0.0437129
gabfest	0.0430983
refurbishment	0.0430869
masterwork	0.0430128
yachtsman	0.0428988
"road show"	0.0427726
misadventure	0.0427455
immersion	0.0426858
"time capsule"	0.0426496
"stock buyback"	0.0425119
Giro	0.0422637
"presidential term"	0.0419654
"full term"	0.0419313
blocking	0.0416019
mapping	0.0413362
"life cycle"	0.0412124
metropolises	0.0411798
"fund-raising drive"	0.0411435
in-fighting	0.0406132
"bear market"	0.0403088
trombone	0.0403084
"second tour"	0.0402823
interoperability	0.0400922
gyration	0.0400192
))
(circumstance (desc 79834.2) (sims
situation	0.159667
condition	0.143906
fact	0.118571
"market condition"	0.110256
reality	0.10932
nature	0.105159
scenario	0.102831
"economic condition"	0.0999595
consequence	0.0994266
environment	0.0987834
climate	0.0975107
need	0.0964698
incident	0.0959928
timing	0.0953039
aspect	0.0930101
difficulty	0.0910952
case	0.0903981
context	0.0903584
problem	0.0895403
experience	0.0889516
"weather conditions"	0.0887104
outcome	0.0883753
relationship	0.0877643
factor	0.087487
matter	0.087124
behavior	0.0865838
motive	0.0864983
detail	0.0861053
tragedy	0.0852782
event	0.0842965
hardship	0.0839484
possibility	0.0839472
law	0.0834869
dilemma	0.0821518
pressure	0.0821021
rule	0.0818061
characteristic	0.0816002
fate	0.0812014
trend	0.0807099
method	0.0801053
impact	0.0800823
background	0.0797352
weather	0.0794255
procedure	0.0794004
atmosphere	0.079109
trauma	0.0788419
issue	0.0788284
pattern	0.0788197
crises	0.0780449
implication	0.0779987
status	0.0779967
cause	0.0778816
change	0.0777196
feeling	0.0775493
plight	0.0774213
allegation	0.0773664
process	0.0772124
question	0.077056
life	0.0770359
policy	0.0769543
effect	0.0766429
manner	0.0764248
predicament	0.0763648
number	0.0761645
identity	0.0760796
perception	0.0760504
accident	0.075856
habit	0.0756956
risk	0.0755571
action	0.0751738
challenge	0.0749616
principle	0.0748245
development	0.0748045
history	0.07462
tactic	0.0745671
complexity	0.0745535
constraint	0.074489
decision	0.0742814
reason	0.0742624
phenomenon	0.0738509
attitude	0.0737526
thing	0.0737175
result	0.0732524
role	0.0731823
act	0.0730532
culture	0.0729859
conduct	0.0729587
evidence	0.0727718
prospect	0.0727457
size	0.0727214
position	0.0726916
activity	0.0725763
personality	0.0724482
requirement	0.0722086
term	0.0721977
kind	0.0720543
logic	0.0719972
illness	0.0716646
uncertainty	0.0716575
guideline	0.0715312
quality	0.0714157
stress	0.0709764
opportunity	0.0709641
demographics	0.0709274
direction	0.0708146
concept	0.0708028
strategy	0.0706937
origin	0.0706371
type	0.070534
emotion	0.0704549
ability	0.0701688
purpose	0.0701609
danger	0.0701285
crime	0.0700119
threat	0.0698992
extent	0.0697788
fundamental	0.0697615
politics	0.0695949
lack	0.0695471
interest	0.0694972
crisis	0.0694907
scandal	0.0692882
opinion	0.0690638
emergency	0.0690268
moment	0.0688812
content	0.0688732
arrangement	0.0687566
mistake	0.0686148
adversity	0.0685383
conflict	0.0685169
location	0.0684995
structure	0.0682714
past	0.0681135
coincidence	0.0680962
instance	0.0680851
future	0.0679965
way	0.067987
difference	0.0678868
regulation	0.0678418
scope	0.0676705
aftermath	0.0675781
system	0.0673118
outlook	0.0672444
language	0.0669527
sense	0.0667939
task	0.0667546
severity	0.0667448
view	0.0665623
motivation	0.0663609
finding	0.0663278
symptom	0.0661089
standard	0.066054
idea	0.0660114
time	0.0659777
preference	0.0659495
whereabouts	0.0658602
style	0.0657708
reaction	0.0656182
practice	0.065504
occurrence	0.0654928
mood	0.065364
demand	0.0652478
Limitation	0.0651214
theory	0.0651153
truth	0.0650525
criteria	0.0650302
"market force"	0.0649895
lifestyle	0.0649861
violation	0.0649115
consideration	0.0648886
age	0.0646879
response	0.064643
disaster	0.0645736
shortcoming	0.0645412
accomplishment	0.0645176
accusation	0.0644552
perspective	0.0644255
vision	0.0642938
mechanism	0.0641761
skill	0.0640959
specific	0.0640827
controversy	0.0640118
injury	0.0638689
attack	0.0637578
setting	0.0637273
significance	0.0636932
ramification	0.0635781
story	0.0635361
complication	0.0634722
value	0.0634025
"side effect"	0.063319
leadership	0.063307
health	0.0631827
potential	0.0631405
seriousness	0.0629937
geography	0.0629794
investigation	0.0629377
meaning	0.0628589
technique	0.0628351
this	0.0628032
))
("circumstantial evidence" (desc 3276.05) (sims
"direct evidence"	0.143117
hearsay	0.088502
corroboration	0.0752083
confession	0.0732468
documentation	0.0709564
"unfinished business"	0.0695885
"tax advantage"	0.0686968
doubter	0.0679993
inference	0.0673127
"detective work"	0.0671037
conjecture	0.0622252
oversimplification	0.0621292
doomsayers	0.0612627
"sum total"	0.0581153
"historical document"	0.0549014
"wholesale price index"	0.0548344
"One-China Principle"	0.0542375
"inside information"	0.0535793
"labor resource"	0.0534543
hypotheses	0.0529147
"written material"	0.0529044
presumption	0.0520455
"market watcher"	0.0513955
"common sense"	0.0508944
"elbow room"	0.0504157
justification	0.0501362
titillation	0.0495911
Leeway	0.0495594
headroom	0.0494971
"word of mouth"	0.0489966
evidences	0.0489689
transcript	0.0483063
contraband	0.0482781
intuition	0.0479622
chink	0.0477472
correlation	0.0477181
"nest egg"	0.047598
gaffe	0.0475308
Pillars	0.0474683
"trial and error"	0.0471883
consolation	0.046954
paperwork	0.0465132
hunch	0.0462169
vasectomy	0.0461404
"odds and ends"	0.0461114
hypothesis	0.0457793
"written record"	0.0457406
"practical application"	0.0455473
"breathing room"	0.0454917
"free association"	0.0447572
chronology	0.0446897
"staying power"	0.0443095
affidavit	0.044263
levity	0.0439785
shareware	0.0437175
hiccup	0.0435536
minutiae	0.0433346
firepower	0.04325
"embryonic cell"	0.043183
ream	0.0430529
"Mao Zedong Thought"	0.0429326
"great deal"	0.0429276
feedback	0.0428706
"mechanical device"	0.0427736
trepidation	0.0424451
guidepost	0.0424278
supposition	0.0423855
"trump card"	0.0423083
"magic bullet"	0.0422607
premonition	0.0421507
"natural ability"	0.042117
celluloid	0.0420313
"free time"	0.0419682
suspense	0.041714
jawbone	0.0417083
"compromise plan"	0.0414894
recrimination	0.0412707
"difference of opinion"	0.0412675
finds	0.0412551
correspondence	0.0411759
whistleblowers	0.0411593
ifs	0.0411516
"storage space"	0.0410529
"three pitchers"	0.0409265
"tape recording"	0.040852
"promotional material"	0.0407473
"quantum theory"	0.0407063
trivia	0.0403418
collateral	0.0403243
"magnetic field"	0.040317
fount	0.0401093
"air power"	0.040062
accoutrement	0.0400466
))
(circus (desc 26587.5) (sims
circuses	0.0924788
sideshow	0.0879823
Carnival	0.0832019
theater	0.0776396
"soap opera"	0.0733299
spectacle	0.0715234
rodeo	0.0701642
ballet	0.069476
dance	0.0673531
vaudeville	0.0662776
concert	0.0652964
"Beijing Opera"	0.0643847
opera	0.0640856
"musical theater"	0.0623261
drama	0.0621999
troupe	0.0611333
musical	0.0596546
zoo	0.0596341
acrobatics	0.0592219
mime	0.0591153
Entertainment	0.0570963
stunt	0.0552607
parade	0.055212
festival	0.0550794
"theme park"	0.0541704
clown	0.0537373
Jazz	0.0537293
hoopla	0.0528063
"country music"	0.052707
extravaganza	0.0525158
"martial art"	0.0519487
art	0.05169
comedy	0.0513774
ensemble	0.0513437
nightclub	0.0511721
wrestling	0.0509707
mess	0.050956
melodrama	0.0501695
maelstrom	0.0493001
showcase	0.0492874
football	0.0491287
firework	0.0483154
chaos	0.0480384
"modern dance"	0.0477495
farce	0.0469747
cabaret	0.0467004
museum	0.0466322
nightmare	0.0465893
fantasy	0.0465338
"amusement park"	0.0464501
"big band"	0.0462647
free-for-all	0.0462498
cartoon	0.0462467
"classical music"	0.0461962
catastrophe	0.0461954
monster	0.0458728
fashion	0.045636
hype	0.0455486
travesty	0.0453678
miracle	0.0453594
"avant garde"	0.0452232
disco	0.0450582
Soleil	0.0450581
pageant	0.0450377
"big game"	0.0450201
celebrity	0.0449658
"wrestling match"	0.0448178
"rock 'n' roll"	0.0446494
"rock concert"	0.0443152
frenzy	0.0440926
reunion	0.0440248
acrobat	0.0439882
celebration	0.0438875
Exhibition	0.0435431
"wild West"	0.0435365
Hollywood	0.0434184
poetry	0.0433763
hoop	0.0433498
mythology	0.0432999
scrum	0.0431959
golf	0.0431419
"opera house"	0.0430837
tragedy	0.0429512
orchestra	0.0428527
"show business"	0.0428415
"folk art"	0.0425733
matinee	0.0425174
Beatles	0.042512
landscape	0.0424047
brouhaha	0.0423697
dinner	0.0423485
thriller	0.0421943
attraction	0.042104
"art form"	0.0420914
"chamber music"	0.0419055
tradition	0.0418416
"folk music"	0.0418374
juggernaut	0.0415771
puppet	0.0415321
cinema	0.0415034
fun	0.0414305
tale	0.0413873
Racing	0.0413665
boxing	0.0413276
firestorm	0.0412011
madness	0.0411339
Journalism	0.0411041
basketball	0.0410706
pet	0.0410401
ritual	0.0409701
"church service"	0.0407991
choir	0.0407287
ballgame	0.0404747
"roller coaster"	0.0404551
disaster	0.040358
demonstration	0.0402065
))
(circuses (desc 2917.7) (sims
circus	0.0924788
rodeo	0.074876
"opera company"	0.0624072
craftspeople	0.0598325
"theatrical performance"	0.0588237
hotspots	0.0587651
"botanical garden"	0.0587526
newsmagazines	0.0586113
"amusement park"	0.0568711
metropolises	0.0564664
mushers	0.0555721
"flea market"	0.0543693
"religious service"	0.0543537
B-@s	0.0512607
"symphony orchestra"	0.0510086
campgrounds	0.0502356
"folk dance"	0.0500103
"Royal Caribbean"	0.0495228
sideshow	0.0495043
"dance band"	0.0492928
Irishmen	0.0487808
weightlifter	0.0486499
acrobat	0.0481685
"Baby Bells"	0.0480198
aquarium	0.0479564
ballgames	0.0478923
QBs	0.0477267
"New York Republicans"	0.0477122
spinoffs	0.0472249
freebies	0.0471153
hypotheses	0.0468987
"surgical procedure"	0.0468909
"art exhibition"	0.0459851
"recreational facility"	0.0459217
"official document"	0.0457753
"Jet Skis"	0.0451816
ECNs	0.0445922
"medical institution"	0.0443038
"business line"	0.0437181
bullfighter	0.0433535
vaudeville	0.0432032
spas	0.0429496
ISPs	0.0428007
vote-getters	0.0426475
"ballet company"	0.0423032
magician	0.0420804
crewmembers	0.0419147
"Texas Democrats"	0.0414346
"repertory company"	0.0413952
pawnshop	0.0411756
Honduran	0.0411668
pluses	0.0411657
launderers	0.0410941
highflier	0.0409604
"application program"	0.0408115
Concordes	0.0405375
skydiver	0.0404929
"musical theater"	0.0403682
Rockettes	0.0401541
foremen	0.0400206
))
(Cirillo (desc 990.184) (sims
Fullmer	0.336197
Rolen	0.323764
DeShields	0.308112
"Eric Owens"	0.298565
Vidro	0.296348
"Matt Lawton"	0.295417
"Mark Loretta"	0.292852
Higginson	0.276938
Alicea	0.269141
"Scott Spiezio"	0.267525
Beltran	0.263385
"Damian Miller"	0.260176
Randa	0.255988
Bordick	0.255852
"Bobby Abreu"	0.254626
Lankford	0.253669
Agbayani	0.252845
Bautista	0.251812
Lieberthal	0.250507
Tatis	0.249398
"Eddie Taubensee"	0.24873
Lawton	0.247077
"Jose Vidro"	0.245833
"Ron Coomer"	0.245042
"Chris Widger"	0.244572
"Carlos Lee"	0.243375
"Jeff Conine"	0.241141
Velarde	0.23598
"Dmitri Young"	0.235739
Batista	0.233421
"Mike Sweeney"	0.231382
Aurilia	0.231324
"Bruce Aven"	0.230901
"J.T Snow"	0.229014
"Deivi Cruz"	0.226902
"Bill Mueller"	0.226312
Renteria	0.225593
"Preston Wilson"	0.224857
"Derrek Lee"	0.224823
Abreu	0.222962
Burnitz	0.220883
McGriff	0.220398
"Jeff Cirillo"	0.218038
"Luis Alicea"	0.217857
"Cristian Guzman"	0.217238
"Danny Bautista"	0.21668
"John Vander Wal"	0.216553
grieve	0.214071
Karros	0.213436
"Rondell White"	0.213049
Bichette	0.21294
"Dave Martinez"	0.210934
"Paul Konerko"	0.210813
"Kevin Young"	0.209504
"Tim Bogar"	0.209271
"Geoff Jenkins"	0.207984
Surhoff	0.207954
"Mike Lieberthal"	0.207491
Frye	0.206343
"Dean Palmer"	0.206032
"Dave Hansen"	0.20571
"Jeffrey Hammonds"	0.205649
Glaus	0.204452
Beltre	0.203548
"Einar Diaz"	0.203194
Klesko	0.202088
Spiers	0.201904
Nevin	0.201231
"Paul Bako"	0.200381
"Bengie Molina"	0.200247
"Luis Gonzalez"	0.199767
Tejada	0.199705
"David Ortiz"	0.199016
"Eric Karros"	0.198237
"Mark Kotsay"	0.198105
"Warren Morris"	0.198098
Sexson	0.198032
"Travis Fryman"	0.198029
Womack	0.196941
Baerga	0.195519
"Marquis Grissom"	0.195413
"Dante Bichette"	0.194471
"Rich Aurilia"	0.194435
Catalanotto	0.194055
Dunston	0.193424
"Eric Chavez"	0.192819
"Matt Walbeck"	0.192744
"Jose Guillen"	0.192516
"Fernando Vina"	0.192031
"Wally Joyner"	0.192021
"Tony Eusebio"	0.191989
"Jose Valentin"	0.191316
"Juan Encarnacion"	0.190872
Delgado	0.190766
Cedeno	0.190735
"Gregg Jefferies"	0.189771
"Joe Randa"	0.189722
"Marvin Benard"	0.1897
"Adam Kennedy"	0.189157
"Scott Rolen"	0.188833
"Herbert Perry"	0.188328
Javier	0.188283
"Joe McEwing"	0.187239
"Mickey Morandini"	0.187222
Castilla	0.18713
"Jeff Kent"	0.18691
"Bill Spiers"	0.18658
Ordonez	0.186089
"Troy Glaus"	0.185952
"Ruben Rivera"	0.185831
Grudzielanek	0.185761
Meares	0.185572
Bergeron	0.184702
Erstad	0.184488
Gant	0.184128
Saenz	0.184113
Varitek	0.183875
"Jermaine Dye"	0.183571
"Damian Jackson"	0.183314
"Miguel Cairo"	0.183291
"Phil Nevin"	0.18326
"Bobby Higginson"	0.183041
"Tony Batista"	0.182847
Veras	0.182592
"David Bell"	0.181797
"Neifi Perez"	0.181464
"Richard Hidalgo"	0.18116
"Brian Giles"	0.180376
"Stan Javier"	0.180272
Zeile	0.178637
"Ron Gant"	0.177078
"Ozzie Guillen"	0.177044
Glanville	0.176664
"Mike Bordick"	0.176565
"Todd Helton"	0.175917
Valentin	0.175839
"Mark Grace"	0.17518
"Matt Stairs"	0.175003
Fryman	0.174946
Segui	0.174944
Biggio	0.174471
Goodwin	0.174444
"Mark Grudzielanek"	0.173736
Stinnett	0.173586
"Gabe Kapler"	0.173135
"Desi Relaford"	0.172855
Olerud	0.172635
Hidalgo	0.172342
"Alex Gonzalez"	0.171461
Guillen	0.171455
Hollandsworth	0.169577
Mayne	0.169149
"Matt Franco"	0.168747
Kapler	0.168466
Palmeiro	0.168386
McLemore	0.168246
"Shawn Green"	0.168082
"Orlando Palmeiro"	0.168
Bragg	0.167783
"Craig Counsell"	0.16759
Ledee	0.167554
Hatteberg	0.167513
Hollins	0.166949
"Craig Biggio"	0.166805
Alfonzo	0.166715
Helton	0.166647
"Mike Lansing"	0.166439
"Sean Casey"	0.1663
Cordero	0.166281
"Vladimir Guerrero"	0.166017
"Johnny Damon"	0.166012
Taubensee	0.165271
"Miguel Tejada"	0.165202
Elster	0.165141
"Fred McGriff"	0.165136
"Tony Clark"	0.165098
Giambi	0.164792
Alomar	0.164574
"Russ Johnson"	0.164211
"Ray Durham"	0.163897
"Jim Thome"	0.163351
"Jose Hernandez"	0.163331
"Pat Burrell"	0.163021
"Harold Baines"	0.162506
"Jason Kendall"	0.161648
Vizquel	0.161564
Sojo	0.161033
Daubach	0.160482
Caminiti	0.160408
"Javy Lopez"	0.160402
"Tom Goodwin"	0.160304
"Scott Brosius"	0.160259
"Tim Salmon"	0.159701
Eusebio	0.159569
"Ben Grieve"	0.158862
"Mike Lamb"	0.158741
"Kevin Jordan"	0.158345
"Quinton McCracken"	0.15811
"Tony Womack"	0.158033
Lofton	0.157856
"Rico Brogna"	0.157735
"Chad Curtis"	0.157338
"Aaron Boone"	0.156826
"Lenny Harris"	0.156655
"Darryl Hamilton"	0.156568
"Bret Boone"	0.15645
Konerko	0.156274
"Todd Pratt"	0.156233
Cabrera	0.155922
"Sandy Alomar"	0.155665
"Butch Huskey"	0.155454
"David Segui"	0.155444
"Richie Sexson"	0.155336
"Henry Rodriguez"	0.15517
"Carlos Beltran"	0.155154
"Roger Cedeno"	0.154813
"Pat Meares"	0.154688
"Mike Lowell"	0.154235
"Enrique Wilson"	0.153244
"Al Martin"	0.15306
Boone	0.152783
"Benny Agbayani"	0.152728
Offerman	0.152447
"Glenallen Hill"	0.151891
"Edgardo Alfonzo"	0.151343
"Kelly Stinnett"	0.151256
"Brian Hunter"	0.151187
"Tony Graffanino"	0.151101
Bagwell	0.150813
Burks	0.150792
"Jason Varitek"	0.150479
"Garret Anderson"	0.150383
"Quilvio Veras"	0.15037
"Doug Glanville"	0.150258
"Chipper Jones"	0.150247
"Joe Girardi"	0.150162
Larkin	0.149726
"Darin Erstad"	0.149621
"Will Clark"	0.149272
"Adrian Beltre"	0.14913
"Keith Lockhart"	0.149003
"Gary Sheffield"	0.148892
"Jay Bell"	0.148583
"Randy Velarde"	0.14817
"Russ Davis"	0.147457
"Mike Cameron"	0.146864
Easley	0.146832
"Jose Vizcaino"	0.146168
"Rusty Greer"	0.146073
Ramirez	0.144929
"Brian Jordan"	0.144903
"Jason Giambi"	0.14466
"John Mabry"	0.144599
"F.P Santangelo"	0.144247
Canseco	0.144014
"Pokey Reese"	0.144011
"Luis Castillo"	0.143973
"Edgar Martinez"	0.143911
Alou	0.143889
"Bubba Trammell"	0.143703
DiSarcina	0.143401
"Trot Nixon"	0.143288
Garciaparra	0.142724
"Gary DiSarcina"	0.142651
"Ryan Klesko"	0.142584
"Chad Kreuter"	0.142284
"Kevin Stocker"	0.142146
"Ricky Gutierrez"	0.141008
"Jose Offerman"	0.140393
"Darren Bragg"	0.140211
"John Valentin"	0.140155
McCarty	0.13995
"Reggie Jefferson"	0.13968
"Matt Williams"	0.139533
"Alex Rodriguez"	0.139507
"Luis Sojo"	0.139375
"Travis Lee"	0.139171
Counsell	0.138875
"Todd Hollandsworth"	0.138725
"Derek Bell"	0.138611
"Darren Lewis"	0.1381
"Tino Martinez"	0.137782
Brosius	0.137177
"Jeff Bagwell"	0.13693
Molina	0.136874
Walbeck	0.136872
"Rickey Henderson"	0.136693
"Cliff Floyd"	0.136601
"Vinny Castilla"	0.136453
"Moises Alou"	0.136309
"Steve Finley"	0.136214
Greer	0.136057
"B.J Surhoff"	0.136009
"Royce Clayton"	0.135994
"Lee Stevens"	0.135937
"Frank Thomas"	0.135931
"Brent Mayne"	0.135817
"Manny Alexander"	0.135813
JOYNER	0.135756
"Ed Sprague"	0.135722
"Jay Payton"	0.13572
"Lance Berkman"	0.135718
Knoblauch	0.135667
"Terrence Long"	0.135592
Buhner	0.13546
Dellucci	0.135445
"Robin Ventura"	0.135259
Gilkey	0.135165
"Melvin Mora"	0.134696
"Edgar Renteria"	0.134652
"Jeromy Burnitz"	0.134404
"Ricky Ledee"	0.134296
Ripken	0.133894
"Eric Young"	0.133874
"Reggie Sanders"	0.133858
"Angel Pena"	0.133678
"Raul Ibanez"	0.133609
Ausmus	0.133518
"John Olerud"	0.132866
Merloni	0.132575
Gwynn	0.132393
"Brian McRae"	0.132321
"Andruw Jones"	0.131888
"Rafael Palmeiro"	0.131883
"Corey Koskie"	0.131856
"Mike Benjamin"	0.13171
"Rich Becker"	0.131405
Hundley	0.130918
"Devon White"	0.130282
"Carl Everett"	0.130252
"Brady Anderson"	0.130103
"Andy Fox"	0.12997
Loretta	0.129503
Lugo	0.12924
Leyritz	0.129091
"Brian Daubach"	0.128441
"Gerald Williams"	0.127785
Huskey	0.127777
"Ivan Rodriguez"	0.127541
"Greg Vaughn"	0.127484
"Barry Larkin"	0.127322
"Kenny Lofton"	0.126952
Sheffield	0.125665
"Ken Caminiti"	0.125595
"Brad Ausmus"	0.125559
Furcal	0.125531
"Chili Davis"	0.125411
"Jay Buhner"	0.125219
"Manny Ramirez"	0.12502
Grissom	0.124388
Galarraga	0.123998
Cora	0.122952
Lampkin	0.122489
"Kurt Abbott"	0.122397
Thome	0.122364
"Rey Ordonez"	0.121636
Bonilla	0.12152
"Todd Zeile"	0.120529
"Carlos Delgado"	0.119765
"Brad Fullmer"	0.119704
"Brant Brown"	0.119429
"Walt Weiss"	0.119239
"Tony Gwynn"	0.118981
"Jim Leyritz"	0.118955
Mateo	0.118779
"Charles Johnson"	0.118211
Mondesi	0.118138
Turgeon	0.117942
"Jorge Posada"	0.117583
"Dan Wilson"	0.117438
"Luis Lopez"	0.117418
"Todd Greene"	0.117324
Rueter	0.117101
"Derek Jeter"	0.117017
"Nomar Garciaparra"	0.117009
Baines	0.116514
Gutierrez	0.116452
"Joey Cora"	0.116174
Brogna	0.116166
"Ray Lankford"	0.115873
"Raul Mondesi"	0.115312
"Charlie Hayes"	0.115195
"Mike Stanley"	0.11517
"Carlos Baerga"	0.114958
"Omar Vizquel"	0.114858
"Jim Edmonds"	0.114822
Mora	0.114447
Sadler	0.114273
"Marty Cordova"	0.114112
Vina	0.113974
"Bernie Williams"	0.113797
"Mark McLemore"	0.113789
"Chuck Knoblauch"	0.113748
"Magglio Ordonez"	0.11373
Everett	0.113064
"Mike Piazza"	0.11303
Finley	0.113027
Piazza	0.112897
Jeter	0.112223
"Damon Buford"	0.112202
"Rey Sanchez"	0.112031
"Frank Catalanotto"	0.111935
Nilsson	0.111563
"Tony Phillips"	0.111456
Vaughn	0.110774
Clayton	0.110706
Ochoa	0.110263
"Todd Walker"	0.109072
"Benji Gil"	0.10905
"Brian Johnson"	0.108876
"David Dellucci"	0.108784
"Bernard Gilkey"	0.108712
Vizcaino	0.108701
"Roberto Alomar"	0.108488
Mabry	0.1082
Girardi	0.107198
Macfarlane	0.107197
"Matt Luke"	0.107058
"Michael Tucker"	0.106672
Posada	0.106495
Kreuter	0.10632
McRae	0.105976
Rodriguez	0.105737
Griffey	0.105666
Recchi	0.10531
Sprague	0.105241
"Ellis Burks"	0.104842
"Brook Fordyce"	0.104704
Guzman	0.104496
Monahan	0.104416
Guerrero	0.104036
Sweeney	0.1039
Reichel	0.103813
"Jeremy Giambi"	0.103509
"Chris Gomez"	0.103476
Gonzalez	0.103229
Hansen	0.10321
"Rob Ducey"	0.103173
"Andres Galarraga"	0.102793
"Todd Hundley"	0.10201
"Barry Bonds"	0.101941
Laperriere	0.10192
"Karim Garcia"	0.101803
"Fernando Tatis"	0.101755
Burrell	0.101723
"Damion Easley"	0.100875
Gorter	0.100654
"Andy Sheets"	0.100626
))
(cirque (desc 1702.33) (sims
Soleil	0.174121
du	0.111496
riche	0.0943033
Bain	0.0893062
monde	0.0879258
Ringling	0.0749022
"Peking Opera"	0.0706549
Carre	0.0703852
"Beijing Opera"	0.0697124
Grange	0.069611
Doan	0.0696001
acrobat	0.0626537
"French Canadian"	0.0589446
Riverdance	0.0587535
Roux	0.0573265
"Roundabout Theater Company"	0.0570543
"Lincoln Center Theater"	0.0542143
matzoh	0.0535296
mime	0.0532469
Figaro	0.0527484
"City Ballet"	0.0525395
"jazz band"	0.0516718
"Field Poll"	0.0492637
tilde	0.0482348
vaudeville	0.0476928
"Ballet Theater"	0.0470045
Bayreuth	0.0460419
Rouge	0.0448283
striptease	0.0446518
keynote	0.0445024
off-Broadway	0.0436237
"Royal Shakespeare Company"	0.0434782
sub-par	0.0431487
atelier	0.0429213
"German language"	0.0426959
trapeze	0.0426677
"road show"	0.0424336
Ying	0.0423806
IMAX	0.0421309
"Royal Ballet"	0.0417812
Kirov	0.0417279
"avant garde"	0.0411359
siecle	0.0407751
grub	0.0406501
"song and dance"	0.0404655
"school boy"	0.0401978
"National Gambling Impact Study Commission"	0.0401848
))
(cirrhosis (desc 2165.99) (sims
"cardiovascular disease"	0.222533
"liver disease"	0.212996
"congestive heart failure"	0.184044
jaundice	0.161299
glaucoma	0.160401
hypertension	0.15452
diabetes	0.150499
Osteoporosis	0.149391
"heart failure"	0.148332
emphysema	0.146654
"Parkinson's disease"	0.146306
anemia	0.144376
"heart disease"	0.144179
"multiple sclerosis"	0.143388
"blood clot"	0.137951
"skin cancer"	0.137282
"high blood pressure"	0.136719
leukemia	0.13608
atherosclerosis	0.132242
Alzheimer	0.131259
"kidney disease"	0.129926
"rheumatoid arthritis"	0.128833
ulcer	0.128771
"acquired immune deficiency syndrome"	0.128434
"cystic fibrosis"	0.1258
dementia	0.125649
asthma	0.124356
"respiratory disease"	0.119381
"lung cancer"	0.119083
arthritis	0.117838
lupus	0.116735
lymphoma	0.116666
infertility	0.114091
Parkinson's	0.112863
sterility	0.110722
gangrene	0.109888
retardation	0.109285
myopia	0.10917
epilepsy	0.108412
infection	0.10772
Obesity	0.107363
"colon cancer"	0.107224
"asthma attack"	0.106821
constipation	0.106431
Meningitis	0.106129
diarrhoea	0.105576
melanoma	0.102947
pneumonia	0.102374
SIDS	0.102227
deformity	0.0999619
bronchitis	0.0976889
diarrhea	0.0967847
dehydration	0.0963283
ailment	0.0959042
blindness	0.0955675
abnormality	0.0949788
"venereal disease"	0.0949228
disorder	0.0945726
"heart attack"	0.0942314
hepatitis	0.0940669
arrhythmia	0.0938753
psoriasis	0.0938017
sunburn	0.0933977
"food poisoning"	0.0924765
tumor	0.0923171
indigestion	0.0922527
polyp	0.0922061
deafness	0.0921828
relapse	0.0917494
"brain tumor"	0.090788
tuberculosis	0.0904927
cataract	0.0883381
impotence	0.0871743
inflammation	0.086521
miscarriage	0.0863156
"heart condition"	0.0860292
hypothermia	0.0853916
"kidney stone"	0.0851049
"engine failure"	0.0846298
Psychosis	0.0845694
abscess	0.0842467
encephalitis	0.0831665
sickness	0.0830837
syndrome	0.0822737
"cash crunch"	0.0821533
angina	0.0821512
"heat exhaustion"	0.0819449
"cancer death"	0.0816846
malady	0.0806135
allergy	0.0804773
vasectomy	0.08046
malformation	0.0798548
"eye disease"	0.079487
overdose	0.0794298
myeloma	0.0793809
derailment	0.0792686
hemorrhage	0.0788252
autism	0.0786562
gastroenteritis	0.0781728
complication	0.0770845
malnutrition	0.0769095
"skin disease"	0.0761963
CJD	0.0759858
"juvenile delinquency"	0.0758633
"memory loss"	0.075772
"infectious disease"	0.0756724
"malignant tumor"	0.0756119
influenza	0.0754508
"mental disorder"	0.0750416
malaria	0.0744488
schizophrenia	0.0740086
"power failure"	0.0739695
lesion	0.0733991
liver	0.0732407
toxicity	0.073171
"health problem"	0.072487
suffocation	0.0722651
dizziness	0.0717447
nausea	0.0715299
incontinence	0.0706531
Rabies	0.0702517
reflux	0.0698906
migraine	0.0696028
"muscular dystrophy"	0.0694447
paralysis	0.0688069
corrosion	0.0687073
syphilis	0.0682529
anorexia	0.067913
"cancer cell"	0.0677023
"crop failure"	0.0673744
"chest pain"	0.0670621
dysfunction	0.0669579
kidney	0.0669115
botulism	0.0668646
insomnia	0.0667546
"dengue fever"	0.0665029
osteoarthritis	0.0657424
als	0.065734
"skin rash"	0.0654427
"moral hazard"	0.0651402
"bank failure"	0.0645936
subsidence	0.0641762
morbidity	0.0641727
"brain cell"	0.0632889
"genetic disease"	0.0627071
"drug addiction"	0.0626517
inundation	0.061607
nearsightedness	0.0614974
discoloration	0.0610156
inhalation	0.0609033
poisoning	0.0605314
"liquidity problem"	0.0598585
blockage	0.059772
interferon	0.059739
"neurological disease"	0.0595068
"AIDS virus"	0.059249
cholera	0.0591266
snafu	0.0587581
mutation	0.0585268
"mental illness"	0.0583025
vomiting	0.0582457
heartburn	0.0580482
rollovers	0.0579975
narcolepsy	0.0574906
acne	0.0573632
turbot	0.0571135
amnesia	0.0571123
menopause	0.0570358
thinning	0.056879
Tb	0.0568292
deficiency	0.0566843
drowsiness	0.0566188
flu	0.0565461
outage	0.0564466
Dysentery	0.056106
hemophilia	0.0559818
frostbite	0.0559258
"lead poisoning"	0.0555543
"acid rain"	0.0555118
convulsion	0.0555102
"sexually transmitted disease"	0.0553419
uterus	0.0552003
whiplash	0.0549848
measles	0.0549727
outages	0.0549596
cholesterol	0.054735
heartbeat	0.0541858
"dust storm"	0.0540815
fibrillation	0.0540187
cramp	0.0539015
"accounting problem"	0.0538557
gallstone	0.0538473
warming	0.0538433
decompression	0.0538022
famine	0.0535937
"hepatitis B"	0.0535842
cyst	0.0533562
factionalism	0.0532066
"upset stomach"	0.0531486
bulimia	0.0531047
))
(Cisco (desc 20101.5) (sims
"Cisco Systems"	0.248045
EMC	0.240491
Lucent	0.238609
Nortel	0.233474
Compaq	0.224722
oracle	0.220675
Intel	0.215378
IBM	0.214181
Hewlett-Packard	0.21272
Motorola	0.209679
"Lucent Technologies"	0.20894
Novell	0.200918
Dell	0.198649
Ericsson	0.195447
"Sun Microsystems"	0.194098
Qualcomm	0.188828
HP	0.188414
Nokia	0.185938
"Apple Computer"	0.180112
Kodak	0.178538
Honeywell	0.17728
"Dell Computer"	0.174491
Xerox	0.172896
"Texas Instruments"	0.167648
"Compaq Computer"	0.166733
"MCI WorldCom"	0.162014
TYCO	0.160885
Netscape	0.157898
Microsoft	0.156621
Pfizer	0.155798
"General Electric"	0.155061
"Applied Materials"	0.15443
BellSouth	0.152284
TELLABS	0.152212
SBC	0.150734
McKesson	0.150393
"Bell Atlantic"	0.150365
Yahoo	0.15029
ascend	0.150078
RealNetworks	0.149919
"America Online"	0.148997
WorldCom	0.14718
AMD	0.144751
Unisys	0.143882
Alcoa	0.143085
CMGI	0.14264
"Cisco Systems Inc."	0.142486
Gillette	0.142168
Sony	0.141374
Lycos	0.141082
Alcatel	0.141063
Ciena	0.140758
GTE	0.140072
adobe	0.139882
Ge	0.139799
"JDS Uniphase"	0.139656
"Silicon Graphics"	0.139274
"Dell Computer Corp."	0.138931
"Time Warner"	0.138498
"Northern Telecom"	0.137803
Dupont	0.137707
"Procter &AMP; Gamble"	0.136129
Intuit	0.135992
Schwab	0.135835
"Home Depot"	0.134312
Qwest	0.134182
MindSpring	0.134061
Mattel	0.133591
PEOPLESOFT	0.133209
Boeing	0.131656
SGI	0.131244
AOL	0.130688
"Hewlett Packard"	0.130285
"Intel Corp."	0.13007
"Computer Associates"	0.129169
Amgen	0.128976
Seagate	0.12886
Raytheon	0.128858
Corel	0.128079
Hasbro	0.126985
"Hewlett-Packard Co."	0.126712
Checkfree	0.125619
"P&AMP;G"	0.12551
"Lockheed Martin"	0.125206
"Philip Morris"	0.124941
Corning	0.124433
Emulex	0.124011
Vodafone	0.123866
NIKE	0.123798
Exxon	0.123788
Amazon.com	0.123642
Monsanto	0.123596
Citigroup	0.123225
Biogen	0.122756
MCI	0.122553
Inktomi	0.122474
Coca-Cola	0.122257
Symantec	0.122214
Genentech	0.121832
XYLAN	0.12158
"Nortel Networks"	0.12135
ALZA	0.121086
Merck	0.120752
Micron	0.120622
EarthLink	0.120603
excite	0.120121
DaimlerChrysler	0.119822
"Global Crossing"	0.119809
Toshiba	0.119679
Healtheon	0.119379
BankAmerica	0.119033
RJR	0.118456
"Microsoft Corp."	0.118283
Nextel	0.118017
"Real Networks"	0.117777
"BP Amoco"	0.117558
Sunbeam	0.116997
Unilever	0.11689
Siemens	0.116436
"Deutsche Telekom"	0.116154
"American Express"	0.116032
E-LOAN	0.115813
"Adobe Systems"	0.115751
Disney	0.115722
"Bay Networks"	0.115588
Comcast	0.115431
NEC	0.115267
"Johnson &AMP; Johnson"	0.114836
Mannesmann	0.114776
AMR	0.114701
Chevron	0.114623
Aetna	0.114232
"Network Solutions"	0.113886
"Micron Technology"	0.113849
Maytag	0.113412
Enron	0.113306
Delphi	0.113019
CNET	0.112785
Vivendi	0.11267
Amazon	0.112556
"National Semiconductor"	0.112087
"Cox Communications"	0.11199
Halliburton	0.111577
Scientific-Atlanta	0.111476
ARCO	0.111395
UAL	0.110663
Clorox	0.110639
Broadcom	0.110374
Goodyear	0.11033
Bestfoods	0.110324
Cendant	0.109786
Kellogg	0.109437
"U S West"	0.109382
"American Home Products"	0.109318
Warner-Lambert	0.109217
eToys	0.109028
Litton	0.108696
Broderbund	0.108646
"J&AMP;J"	0.108493
DoubleClick	0.108488
Genzyme	0.108483
Autodesk	0.108291
"General Motors"	0.108052
"Motorola Inc."	0.107963
Viacom	0.107911
Norwest	0.107856
TCI	0.107648
"News Corp."	0.106926
"Coca-Cola Co."	0.10634
Informix	0.105932
eBay	0.105531
Gateway	0.105396
Ameritech	0.105265
"France Telecom"	0.105108
Polaroid	0.105017
NCR	0.104878
Seagram	0.104761
"Deutsche Bank"	0.104686
ExciteAtHome	0.104638
Lockheed	0.104592
Albertson's	0.104578
"Learning Co."	0.104498
"Compaq Computer Corp."	0.104475
Chrysler	0.104426
"Walt Disney Co."	0.104391
Pepsico	0.104179
Georgia-Pacific	0.104147
Healtheon/WebMD	0.104145
"Gap Inc."	0.103902
"Advanced Micro Devices"	0.10372
"Eastman Kodak"	0.10365
"Netscape Communications"	0.10361
Pitney	0.103435
Hitachi	0.103294
apple	0.103203
Alltel	0.103201
"Oracle Corp."	0.103167
AIG	0.103165
RAMBUS	0.103019
"Bankers Trust"	0.103009
Wal-Mart	0.10284
"Wells Fargo"	0.102557
Infoseek	0.102388
Renault	0.10236
ENTREMED	0.101984
"Network Associates"	0.101948
Medtronic	0.101756
"Sun Microsystems Inc."	0.10168
"Hongkong Telecom"	0.10167
AlliedSignal	0.101536
Priceline	0.10149
Bertelsmann	0.101479
coke	0.101369
"Rite Aid"	0.101275
"HBO &AMP; Co."	0.101128
Philips	0.101108
"America Online Inc."	0.101054
Merrill	0.100841
Weyerhaeuser	0.100841
"Sara Lee"	0.100622
Mobil	0.100447
))
("Cisco Systems" (desc 15365.7) (sims
"Sun Microsystems"	0.282268
"Dell Computer"	0.273532
"Cisco Systems Inc."	0.266807
"Lucent Technologies"	0.249442
Cisco	0.248045
IBM	0.239709
Qualcomm	0.231508
Intel	0.223944
"Applied Materials"	0.223794
Hewlett-Packard	0.214168
oracle	0.202788
"Compaq Computer"	0.202423
"JDS Uniphase"	0.201731
Motorola	0.19842
"Intel Corp."	0.195687
"Nortel Networks"	0.194381
Nortel	0.191831
"American Express"	0.191277
"Texas Instruments"	0.190681
EMC	0.190413
Ericsson	0.190116
Compaq	0.184088
"America Online"	0.182236
"General Electric"	0.176994
Novell	0.175445
Nokia	0.170109
"Apple Computer"	0.166971
Lucent	0.166951
Citigroup	0.162593
"Micron Technology"	0.16102
Dell	0.160854
"EMC Corp."	0.159577
"Sun Microsystems Inc."	0.157874
Microsoft	0.153228
Amazon.com	0.153214
"Hewlett Packard"	0.152607
Merck	0.149723
"Netscape Communications"	0.148491
Schlumberger	0.147806
"IBM Corp."	0.147606
Alcoa	0.144641
"Oracle Corp."	0.143826
RealNetworks	0.142864
"Microsoft Corp."	0.141662
"Procter &AMP; Gamble"	0.140919
"Motorola Inc."	0.140703
Alcatel	0.138097
"America Online Inc."	0.137743
Yahoo	0.137427
"Advanced Micro Devices"	0.137056
Unisys	0.134842
"Netscape Communications Corp."	0.132577
"Hewlett-Packard Co."	0.132575
Xerox	0.131648
Priceline.com	0.129272
"Lucent Technologies Inc."	0.12923
Kodak	0.129032
"National Semiconductor"	0.128814
"Exxon Mobil"	0.128417
"Johnson &AMP; Johnson"	0.128015
excite	0.127479
"Eastman Kodak"	0.126518
Dupont	0.126345
"Dell Computer Corp."	0.125705
Intuit	0.124198
"J.P. Morgan"	0.122373
"Northern Telecom"	0.122318
Lycos	0.120926
Inc.	0.120098
"General Motors"	0.119985
"Adobe Systems"	0.11873
"MCI WorldCom"	0.118521
"International Paper"	0.118036
Honeywell	0.115784
"Silicon Graphics"	0.115364
WorldCom	0.114986
Fujitsu	0.114935
Coca-Cola	0.114532
Halliburton	0.113107
MindSpring	0.113101
Netscape	0.112762
Healtheon	0.112333
eBay	0.112111
Amgen	0.112094
Pfizer	0.112019
Siemens	0.110187
"Compaq Computer Corp."	0.110065
"MindSpring Enterprises"	0.108999
Exxon	0.108531
"Philip Morris"	0.108138
EarthLink	0.108005
Sony	0.107804
"Computer Associates"	0.106848
"Yahoo Inc."	0.10659
"Merck &AMP; Co."	0.105393
"Wal-Mart Stores"	0.105194
"Bay Networks"	0.104846
"Gap Inc."	0.104582
Toshiba	0.104059
"United Technologies"	0.103023
DoubleClick	0.103014
Checkfree	0.102607
"Qualcomm Inc."	0.10214
Chevron	0.10214
"Time Warner"	0.100687
"SBC Communications"	0.100291
CMGI	0.0994499
"Deutsche Telekom"	0.0986569
BellSouth	0.0985475
Telstra	0.098392
"Lockheed Martin"	0.0983384
Seagate	0.0979666
AMD	0.0978847
Corel	0.096828
Softbank	0.0967384
Gillette	0.0965359
"Sprint Corp."	0.0964661
BankAmerica	0.0964454
"Halliburton Co."	0.0963544
Ciena	0.0962498
"BP Amoco"	0.0962467
HP	0.0959913
"Nortel Networks Corp."	0.0958802
Corp.	0.0957419
"Home Depot"	0.0950104
Infoseek	0.094803
"Softbank Corp."	0.0946716
"Vodafone AirTouch"	0.09435
Wal-Mart	0.0943379
"Charles Schwab"	0.0941629
eToys	0.0941065
"Chase Manhattan"	0.0940785
Biogen	0.0940309
NEC	0.0939624
Healtheon/WebMD	0.093764
Broadcom	0.0937588
"Symantec Corp."	0.0936856
"Walt Disney Co."	0.0935188
Genentech	0.0934825
"France Telecom"	0.0928433
Nextel	0.0927325
"CMGI Inc."	0.0925252
"International Business Machines Corp."	0.0922803
Maytag	0.0921616
"Fidelity Investments"	0.0921112
Informix	0.0920426
"Glaxo Wellcome"	0.0919556
Corning	0.0919364
"Bank of America"	0.0917502
TELLABS	0.0914781
"Bell Atlantic"	0.0913297
NIKE	0.091177
AOL	0.090531
"Merrill Lynch"	0.0903905
Starbucks	0.0903148
E-LOAN	0.0901849
Monsanto	0.0900956
"Aetna Inc."	0.0899602
Samsung	0.0892636
UAL	0.0889714
Gateway	0.0889218
"Global Crossing"	0.0883169
"News Corp."	0.0881866
PEOPLESOFT	0.0878082
ETrade	0.0877721
"Real Networks"	0.0877461
Enron	0.0875284
Sybase	0.0874544
Inktomi	0.0867787
"Boeing Co."	0.086778
Mattel	0.0867167
"American International Group"	0.0866743
"Sony Corp."	0.0860572
BHP	0.0856233
t	0.0855975
"Legend Group"	0.0855924
"Apple Computer Inc."	0.084924
"UAL Corp."	0.0847472
iVillage	0.084393
Hitachi	0.0843582
"General Electric Co."	0.0843443
"British Telecom"	0.0840877
Emulex	0.0840631
"HSBC Holdings"	0.0838539
Comcast	0.0836938
"Allied Signal"	0.0835681
Pepsico	0.0831245
"Time Warner Inc."	0.0829889
GTE	0.0828048
Mobil	0.0826608
Boeing	0.082333
"HBO &AMP; Co."	0.0819115
Akamai	0.0817689
"Vanguard Group"	0.0815933
"Tele-Communications Inc."	0.0812335
"Hongkong Telecom"	0.0811633
"Coca Cola"	0.0810139
"Eli Lilly"	0.0809656
"Pfizer Inc."	0.0807011
Acer	0.0804738
))
("Cisco Systems Inc." (desc 4311.98) (sims
"Lucent Technologies Inc."	0.273625
"Cisco Systems"	0.266807
"Motorola Inc."	0.238738
"Oracle Corp."	0.225432
"Nortel Networks Corp."	0.222516
"Compaq Computer Corp."	0.221158
"EMC Corp."	0.215635
"Intel Corp."	0.211637
"Hewlett-Packard Co."	0.202381
"Sun Microsystems Inc."	0.198664
"Dell Computer Corp."	0.196164
"Netscape Communications Corp."	0.192555
"America Online Inc."	0.189985
"IBM Corp."	0.182792
"Northern Telecom"	0.172756
"Microsoft Corp."	0.170788
"Lucent Technologies"	0.167635
"Softbank Corp."	0.160959
"Nortel Networks"	0.160657
Alcatel	0.160417
Nortel	0.159347
"CMGI Inc."	0.154811
"Applied Materials"	0.150486
"Apple Computer Inc."	0.150063
"Halliburton Co."	0.149701
"Sun Microsystems"	0.149355
"SBC Communications Inc."	0.148852
Ericsson	0.148579
"Advanced Micro Devices Inc."	0.145023
"Lockheed Martin Corp."	0.144926
"Advanced Micro Devices"	0.143647
Cisco	0.142486
"General Electric Co."	0.142207
"International Business Machines Corp."	0.141832
"Qualcomm Inc."	0.141479
"Abbott Laboratories"	0.140871
"Symantec Corp."	0.138807
Unilever	0.129988
"Merck &AMP; Co."	0.125812
"Pfizer Inc."	0.123021
"Mattel Inc."	0.122455
"Monsanto Co."	0.12144
"Tele-Communications Inc."	0.121139
"MCI Worldcom Inc."	0.121004
"Enron Corp."	0.12085
"NEC Corp."	0.120212
Inc.	0.119931
Hewlett-Packard	0.118373
"Coca-Cola Co."	0.118098
"Texas Instruments"	0.116435
"Pharmacia &AMP; Upjohn"	0.116146
"Micron Technology"	0.115946
"JDS Uniphase"	0.115205
"GTE Corp."	0.114629
Healtheon	0.114563
"Federated Department Stores"	0.114432
"Glaxo Wellcome"	0.113646
Nokia	0.11333
"American International Group"	0.113302
"Johnson &AMP; Johnson"	0.113198
"Computer Associates"	0.113084
Schlumberger	0.112442
"Procter &AMP; Gamble"	0.111591
"Nippon Telegraph"	0.111422
"Lotus Development Corp."	0.111265
Motorola	0.110964
"SmithKline Beecham"	0.110551
"Yahoo Inc."	0.110103
"Bell Atlantic Corp."	0.109545
"Citigroup Inc."	0.109513
Novell	0.10936
Pepsico	0.109281
EMC	0.108832
"MindSpring Enterprises"	0.1078
Qualcomm	0.106615
Alcoa	0.106414
"Dell Computer"	0.106235
Lucent	0.106145
"Global Crossing Ltd."	0.105695
"Philip Morris"	0.105668
Bestfoods	0.105142
"Legend Group"	0.104686
IBM	0.104642
RealNetworks	0.104525
Novartis	0.104436
"UBS AG"	0.104385
"Sony Corp."	0.104377
"Pratt &AMP; Whitney"	0.104226
"Boeing Co."	0.103845
Marconi	0.102762
"Walt Disney Co."	0.102454
"AMR Corp."	0.101746
"UAL Corp."	0.101194
"Vodafone AirTouch"	0.100508
oracle	0.100234
"Time Warner Inc."	0.100048
"BankAmerica Corp."	0.0994888
"Gillette Co."	0.0989168
"Netscape Communications"	0.0987694
Hasbro	0.0982437
Emulex	0.0980945
"National Semiconductor"	0.0978545
Dupont	0.0976119
"Bristol-Myers Squibb"	0.0971033
Unisys	0.0969091
Intel	0.0967046
"Adobe Systems"	0.0963814
Pfizer	0.095923
"Siemens AG"	0.0958707
"Chevron Corp."	0.0956025
"Warner-Lambert Co."	0.0948696
Nestle	0.0942683
Merck	0.0939719
"Aetna Inc."	0.0939366
"MCI WorldCom"	0.0937224
"Mannesmann AG"	0.0931776
"Knight Ridder"	0.0931191
"Fannie Mae"	0.0927087
"Learning Co."	0.0924358
Autodesk	0.0923103
"Lycos Inc."	0.0919946
"Viacom Inc."	0.0914012
"Hitachi Ltd."	0.091044
"Apple Computer"	0.0908782
"T Corp."	0.0907664
"HBO &AMP; Co."	0.0907004
"America Online"	0.0899098
"Vivendi SA"	0.0896297
Compaq	0.0894341
Monsanto	0.0892065
"American Home Products"	0.0891666
"Vodafone Airtouch PLC"	0.0890947
"HSBC Holdings"	0.0887916
"Pacific Century Cyberworks"	0.0887516
McKesson	0.0887487
"Bertelsmann AG"	0.0886674
ENTREMED	0.0881253
"Travelers Group"	0.0880358
BASF	0.087807
"Hughes Electronics"	0.0877143
Halliburton	0.087714
Publicis	0.0876177
"Hearst Corporation"	0.0873556
"Vanguard Group"	0.08729
"Chase Manhattan Corp."	0.0870027
"Compaq Computer"	0.0868813
MarketWatch.com	0.086674
"Smith &AMP; Wesson"	0.0865474
CMGI	0.0863447
"Raytheon Co."	0.0862536
"Berkshire Hathaway"	0.0861699
EarthLink	0.0860815
Corel	0.0859068
"Fleet Financial Group"	0.0858827
Enron	0.0851041
"Tribune Co."	0.0850236
"Hughes Electronics Corp."	0.0846791
AMR	0.084262
"Staples Inc."	0.0839271
Amgen	0.0838725
"Gap Inc."	0.0838555
"BellSouth Corp."	0.0838549
"Silicon Graphics"	0.0837954
"Seagram Co."	0.0836833
"Cox Communications"	0.0835682
Honeywell	0.0835463
GANNETT	0.0834878
Daimler-Benz	0.083009
"Deutsche Telekom"	0.082592
Federated	0.082472
Equifax	0.0820122
Medtronic	0.0818401
"Exxon Corp."	0.0817344
UAL	0.0815045
"Wal-Mart Stores Inc."	0.0814913
"McDonnell Douglas"	0.0813953
Citigroup	0.0812846
"WorldCom Inc."	0.0812078
"Lockheed Martin"	0.0810283
"SBC Communications"	0.0809659
"Toshiba Corp."	0.0807507
"Philip Morris Cos."	0.0807338
"ELF AQUITAINE"	0.0805939
Akamai	0.0805037
GTE	0.0802803
"Hearst Corp."	0.0802778
"Global Crossing"	0.0800902
Westinghouse	0.0797318
"Sprint Corp."	0.0794897
"CBS Corp."	0.079288
Telefonica	0.0792812
"Livent Inc."	0.0788377
Schering-Plough	0.0786837
Viacom	0.0786231
"Eastman Kodak Co."	0.0785075
Chevron	0.078492
emachines	0.0784748
Mattel	0.0783763
Aegon	0.0780593
"software maker"	0.0780399
))
(Cisneros (desc 8605.94) (sims
Gotti	0.193644
Hubbell	0.166038
McDougal	0.157124
Hsia	0.144722
Bakaly	0.141742
Capano	0.13993
Symington	0.139756
Neulander	0.134758
Berenson	0.133982
Steele	0.133918
"Russell Peeler"	0.133208
peeler	0.132751
"Mike Espy"	0.130794
Trie	0.128339
Skakel	0.127522
"Webster Hubbell"	0.125304
Quackenbush	0.125303
Tripp	0.122632
Blackthorne	0.121298
Sheinbein	0.121184
"El Hage"	0.120785
Garza	0.119362
Hiett	0.117638
Ickes	0.117479
Edwards	0.116892
Martorano	0.114833
LeFave	0.113917
Maag	0.113507
Lyons	0.113438
Robison	0.113163
Weizman	0.112797
Espy	0.112755
Piggie	0.11212
Welch	0.110886
"Wen Ho Lee"	0.110568
McDermott	0.110379
Schwarz	0.110328
Mudge	0.109487
Salinas	0.109251
Babbitt	0.108334
"Maturino Resendiz"	0.108217
"Ray Lewis"	0.10811
McVeigh	0.108015
Mikhailov	0.107876
Haughey	0.107711
Lileikis	0.107654
Lee	0.107576
Bhutto	0.107165
Nichols	0.10693
Woodward	0.106796
"Louise Woodward"	0.10647
DeBartolo	0.105752
Hirschfeld	0.105433
Bisek	0.105392
Yoo	0.104803
Manbar	0.104756
Soliah	0.104638
Karbaschi	0.104454
Stayner	0.104042
Harris-Lewis	0.103466
KEVORKIAN	0.10277
Bowers	0.102672
Flemmi	0.102356
Kagalovsky	0.102172
Sharif	0.102073
Kaczynski	0.101991
hale	0.101608
Pirro	0.100453
Kalejs	0.100452
McGinn	0.100321
Mitnick	0.100257
Volpe	0.0999131
Karr	0.0991999
Deutch	0.0989868
Fagan	0.0975552
Carruth	0.0962395
Nikitin	0.0949615
Botha	0.0947474
Vasquez	0.0947358
leeson	0.0942429
Faulder	0.0939347
Frankel	0.0938417
"Susan McDougal"	0.0937661
Haouari	0.0937566
Deri	0.0936285
Keating	0.0934404
Nixon	0.0933079
Pinochet	0.092793
defendant	0.0927918
Anwar	0.0926928
Coia	0.0924189
Meskini	0.0924161
Kaunda	0.0921842
furrow	0.0920395
Schweitzer	0.0920146
"Julie Hiatt Steele"	0.0917198
Salemme	0.0911941
Swango	0.0903259
"Ruiz Massieu"	0.0902466
Sebaggala	0.090162
Natale	0.0897976
Priebke	0.0894008
Piccard	0.0893082
Ramsey	0.0892903
Shinn	0.0890715
Shipman	0.0886531
Kazhegeldin	0.0884962
Portnoy	0.0884542
Berisha	0.0882147
Lewinsky	0.0879158
Sakic	0.0877371
Coelho	0.0870102
Grossberg	0.0869768
Gauthe	0.0867667
"Linda Tripp"	0.0866885
Suharto	0.086624
Papon	0.0862411
Kodikian	0.0861658
Gingrich	0.086023
Nasrin	0.0860138
McKinney	0.085632
Koch	0.0855217
Bulger	0.085471
Ng	0.0850004
chun	0.0849311
Akayesu	0.0843793
Simpson	0.0840564
Gravano	0.083968
Fortier	0.083145
Hanna	0.0828537
Lundy	0.0826316
Abu-Jamal	0.0823786
Eappens	0.0823617
Markhasev	0.0816396
Dowd	0.0812844
Kurth	0.0809286
Jenoff	0.0808219
Giacchetto	0.0807871
Fraga	0.0805737
Richardson	0.0802607
Ocalan	0.0802589
Murr	0.0801058
Wiese	0.0799345
Glover	0.079906
Lacresha	0.079874
Iran-contra	0.0798286
Schmitz	0.0796635
Solomon	0.0794458
Whitacre	0.0793652
Biskind	0.07919
Faget	0.0790285
Libyan	0.0789535
Haney	0.0789499
Demjanjuk	0.0787486
Blumenthal	0.0786882
Currie	0.0786333
Valenzuela	0.0785087
Soeharto	0.0785025
"Albert Pirro"	0.0784975
Ntuyahaga	0.0783788
"Jack Kevorkian"	0.0783781
Ritter	0.0782234
Willey	0.0781678
"Henry Cisneros"	0.077836
"Raul Salinas"	0.0774381
BARNICLE	0.0774023
Herman	0.0768551
Goldstein	0.0765991
Lazarenko	0.0765176
fisher	0.0764182
Mandelson	0.076317
Shulman	0.0761406
Mukora	0.0760706
Elhage	0.0758203
Kurtz	0.0754448
Rao	0.0754331
Huang	0.0754145
Eastwood	0.0753327
Cubas	0.0751849
Jewell	0.075168
Graham	0.0751243
Arizmendi	0.0749809
Mendez	0.074973
"Paula Jones"	0.0748587
"State Farm"	0.0746557
Gallagher	0.0746072
Combs	0.0745478
Riady	0.0745053
"tobacco industry"	0.0744084
McCurry	0.0737802
Holbrooke	0.0737352
Donohue	0.0736455
Zamora	0.0734792
khan	0.0732469
Al-Amin	0.0732376
Abernathy	0.0732371
"Monica S. Lewinsky"	0.0730652
Schott	0.0728731
Hinckley	0.0723944
Cleary	0.0723201
))
(cistern (desc 2061.76) (sims
"pumping station"	0.103854
watchtower	0.0991888
culvert	0.0988926
"grocery bag"	0.0901293
gazebo	0.0848265
sarcophagus	0.0847649
"car park"	0.0821293
"telephone booth"	0.0814508
aquifer	0.0802955
trestle	0.0783907
"gas well"	0.07665
Spillway	0.074098
Igloo	0.073354
walkway	0.0722757
fortification	0.0719157
viaduct	0.0714715
cladding	0.0711027
latrine	0.0694478
crock	0.0691039
manhole	0.0680796
"Gorges Dam"	0.0678654
outbuilding	0.0670309
boreholes	0.066816
"drainage system"	0.0659147
taxiway	0.0649083
"water tank"	0.064821
prong	0.0642526
spigot	0.0635077
lean-to	0.0631987
turbogenerator	0.0628593
jetty	0.0623462
dwelling	0.0617895
moat	0.0617023
Parthenon	0.061273
courtyard	0.0611013
"water tower"	0.060537
"sailing vessel"	0.0602207
cavern	0.0601879
"city block"	0.0599987
haystack	0.0599043
"space walk"	0.0597057
kiln	0.0590287
pontoon	0.0582325
pavilion	0.0580408
purifier	0.0574113
"hole in the ground"	0.0572538
GEF	0.0571925
"garbage can"	0.0571481
cofferdam	0.0570923
"office block"	0.0569134
"Special Economic Zones"	0.0568645
silo	0.0568506
deflector	0.0567843
statuary	0.0566749
patio	0.0562671
quarry	0.0561634
"game room"	0.0560828
"exhibition hall"	0.0559572
"railroad car"	0.0559043
waterworks	0.0554513
alleyway	0.0552528
"skating rink"	0.0551543
"water pipe"	0.055106
abattoir	0.0550999
passageway	0.0542281
"place of worship"	0.0542217
skylight	0.0538966
"septic tank"	0.0535325
"credit bureau"	0.0530994
divider	0.0530466
"vacant lot"	0.0526621
collider	0.0526114
"storage tank"	0.0523083
"assembly hall"	0.0521449
"pedestrian bridge"	0.0521335
radiator	0.0520806
"parking area"	0.0520258
"tennis court"	0.0519626
stele	0.0517391
"Belmont Learning Center"	0.0516896
"packing plant"	0.0516471
trainload	0.0514209
"display case"	0.0514135
gymnasiums	0.0510795
"wine cellar"	0.0510747
pagoda	0.050725
Matchbox	0.0506201
skiff	0.0504126
"power unit"	0.0503551
"water jug"	0.0503052
flats	0.0500884
"dance hall"	0.0496619
cask	0.0495891
hut	0.0493641
"Angkor Wat"	0.0491346
Aqueduct	0.0491225
"waiting area"	0.0491155
"gas plant"	0.0491038
fortress	0.0490406
"key ring"	0.0490124
fella	0.0489756
"bomb shelter"	0.0488599
"basketball court"	0.0488504
"storage area"	0.0486404
"house of worship"	0.0483999
"weather satellite"	0.0481558
antiseptic	0.0481255
cellar	0.0479687
"screen door"	0.0479301
"power line"	0.0478769
stoplight	0.0477802
depository	0.0477235
wheelbarrow	0.0477018
archway	0.0476016
reflector	0.0475864
"sewer line"	0.0475581
"radio transmitter"	0.0475379
Stairway	0.0475074
"surgical instrument"	0.047505
Mister	0.0473456
atrium	0.0471045
chairlift	0.0470816
Bathhouse	0.0470126
stockpot	0.0470004
Dumpsters	0.0469997
sub-projects	0.0467271
"fire escape"	0.046686
baseboard	0.0466311
"athletic facility"	0.0466238
Filtration	0.0464934
"traffic circle"	0.0464615
planeloads	0.0464538
"oil well"	0.0462712
"fiber optic cable"	0.0461762
planter	0.0460913
"coaxial cable"	0.0460179
"clock tower"	0.0458353
"school of thought"	0.0456526
"railroad line"	0.0456106
"Christian church"	0.0455618
campsite	0.0453517
"filing cabinet"	0.0453485
"house of cards"	0.045345
no-decisions	0.045138
"fire station"	0.0450032
"moving van"	0.0449787
"cream puff"	0.04497
"Ryder Cups"	0.0448661
"sewer system"	0.0447202
"ring road"	0.0446017
Crypt	0.0445932
"mobile home"	0.0443619
high-rise	0.044352
waterfall	0.0443304
"military post"	0.0440225
"Summer Palace"	0.0437582
rippling	0.0437505
godown	0.043715
ballast	0.0436108
greenhouse	0.0435852
"smoke alarm"	0.0435507
"robbery suspect"	0.0434864
"apartment house"	0.0434377
B-@s	0.043418
airship	0.0434018
earthwork	0.0432821
"paper cup"	0.043173
"gas line"	0.0431483
ashtray	0.0431109
"residence hall"	0.0430908
"wall painting"	0.0429989
riverbed	0.0429959
"highway system"	0.0429857
"ventilation system"	0.0429635
sewer	0.0429312
"shower stall"	0.0428406
"development organization"	0.0427903
"service break"	0.0427585
granary	0.0427458
Adelphia	0.0426212
barbell	0.0425942
puddle	0.0423859
hovercraft	0.0423033
arrowhead	0.0422639
gymnasium	0.0421653
earpiece	0.0421606
birdbath	0.0420331
heliport	0.0417895
bookshelf	0.0417623
"instruction manual"	0.0416972
flyover	0.0415958
Phoenician	0.041516
wok	0.0415148
gully	0.0415007
guardrail	0.0414617
promenade	0.0414422
"storage room"	0.0413924
"trash can"	0.0413384
landscaping	0.0411929
semitrailer	0.041089
))
(citadel (desc 9833.36) (sims
"West Point"	0.122994
"air force academy"	0.121427
"naval academy"	0.0919178
"military academy"	0.0864731
"Bob Jones University"	0.0781142
UGA	0.0733639
"U.S. Naval Academy"	0.0721739
"Harvard College"	0.0702122
UT	0.066451
"University of Utah"	0.0643868
Dartmouth	0.0640727
"Harvard Business School"	0.0632551
"Yale Law School"	0.0624697
Villanova	0.0610221
"police academy"	0.0599973
"Georgia Tech"	0.0592399
"Yale university"	0.0578203
"Brigham Young University"	0.057815
academy	0.0576986
"City College"	0.056517
Yale	0.0562445
Vanderbilt	0.0558925
MIT	0.0557236
Harvard	0.0551101
"University of Georgia"	0.0550535
"Holy Cross"	0.0548131
"Brown University"	0.0546745
Princeton	0.0538531
"University of Kansas"	0.0535073
Fort	0.0530476
"Cal State Northridge"	0.0529878
"University of Mississippi"	0.0515495
CSUN	0.0514444
"Massachusetts Institute of Technology"	0.0509524
BYU	0.0509281
"Harvard Law School"	0.0508725
temple	0.0508258
"University of Chicago"	0.0506001
seminary	0.0505416
"Howard University"	0.0505145
"Harvard University"	0.0504902
SMU	0.0504141
bastion	0.0496425
Stanford	0.0496338
"law school"	0.0493401
"business school"	0.0492682
"Williams College"	0.0490183
"University of South Carolina"	0.0489692
Cornell	0.0489151
"University of Texas"	0.0486698
"Seton Hall"	0.0486686
"art school"	0.0486012
"Bob Jones"	0.0477851
"medical school"	0.047747
"Boston College"	0.0475021
LSU	0.0474312
TCU	0.0474057
"University of Virginia"	0.0471841
IU	0.0470965
UNLV	0.0467709
palace	0.0466335
synagogue	0.0463858
Lehigh	0.0462531
"University of Alabama"	0.0460711
"Princeton University"	0.0459122
Baylor	0.0455531
"junior college"	0.0455265
"Georgetown University"	0.0453953
fortress	0.0452173
Bu	0.0451172
"liberal arts"	0.044922
"Boston University"	0.0449083
"secondary school"	0.0447823
"school of music"	0.0445969
"Fortune Global Forum"	0.0445484
pagoda	0.0444435
"St. Albans"	0.0443759
"San Jose State"	0.0442944
USC	0.0439649
"Northeastern University"	0.043893
Grambling	0.0438841
"University of Houston"	0.0438559
"University of North Carolina"	0.0438078
Castle	0.04366
Monastery	0.0436439
paragon	0.0433415
fortification	0.0431992
"University of Maryland"	0.042719
"Indiana University"	0.0423996
Convent	0.0421269
"Ivy League"	0.0415086
"University of Connecticut"	0.0411545
NYU	0.041128
"technical school"	0.0410616
Furman	0.0409306
"Dartmouth College"	0.0408119
"Wake Forest"	0.0408108
"Beijing University"	0.0407506
Radcliffe	0.0406359
Alabama	0.0405896
Rutgers	0.0405107
"Ball State"	0.0404724
"middle school"	0.0402537
"Southern Cal"	0.0402393
))
(citation (desc 18269.9) (sims
summons	0.110201
commendation	0.0807161
injunction	0.0783629
"Bronze Star"	0.0773067
proclamation	0.0768677
subpoena	0.0738678
"parking ticket"	0.0723381
indictment	0.069597
"speeding ticket"	0.0692621
"Medal of Honor"	0.0690799
reprimand	0.0672181
conviction	0.0669682
warrant	0.0662273
"Silver Star"	0.0658311
directive	0.0654404
"arrest warrant"	0.065429
certificate	0.065379
notice	0.0647979
memo	0.0646996
"enforcement action"	0.0630299
complaint	0.0630282
letter	0.0629376
ruling	0.0611874
punishment	0.0604276
penalty	0.0603237
article	0.0599818
patent	0.0595688
"prison sentence"	0.0590711
prize	0.0590062
decree	0.0586291
"Purple Heart"	0.0580915
notification	0.0580621
"legal action"	0.0576792
petition	0.0576582
"fraud charge"	0.0569415
quotation	0.0564973
recommendation	0.0564928
violation	0.0564881
accolade	0.0563563
verdict	0.0557705
audit	0.0557558
lawsuit	0.0554678
licence	0.0554149
documentation	0.0552913
text	0.0550928
"news release"	0.0550694
instruction	0.0549909
finding	0.0549718
warning	0.0547313
Circular	0.0546817
Dismissal	0.0545264
copy	0.0542689
summary	0.0537702
"finding of fact"	0.0537629
disqualification	0.0536093
suspension	0.0532491
communique	0.0530722
guideline	0.0529889
memorandum	0.0529776
Declaration	0.052188
fatality	0.0519274
referral	0.0515458
"honorary degree"	0.0514729
"charge sheet"	0.0514691
imprisonment	0.0509928
plea	0.0506558
judgment	0.0502595
"white paper"	0.0501364
medal	0.0501302
prosecution	0.0498186
contempt	0.0497391
"fatal accident"	0.0493917
"work permit"	0.0493856
Emmy	0.0493308
allegation	0.0489796
obituary	0.0487927
apology	0.0487397
"Nobel prize"	0.0487174
brochure	0.0483761
pardon	0.048258
"seal of approval"	0.0481332
essay	0.0481094
affidavit	0.0480593
probation	0.0480086
filing	0.0478619
"official document"	0.0477354
"building permit"	0.0477239
poem	0.0474871
"prison term"	0.0473601
censure	0.0473517
misdemeanor	0.0470102
"press release"	0.046942
deportation	0.0468026
trophy	0.0467877
commentary	0.0466713
edict	0.0464952
query	0.0463857
pamphlet	0.0463266
admonition	0.0463038
Ordinance	0.0462792
"application form"	0.0461972
disclaimer	0.0460636
questionnaire	0.04605
leaflet	0.0458652
advisories	0.0458134
transcript	0.0458065
publication	0.0456208
proceeding	0.0454848
rebuke	0.0454567
editorial	0.0453848
seizure	0.045269
forfeiture	0.045186
coupon	0.0451651
manual	0.0451128
"murder charge"	0.0450748
condemnation	0.0449841
"Academy Award"	0.0449712
evaluation	0.0444917
rebuttal	0.0444129
Oscar	0.0443654
booklet	0.0440997
statistic	0.0440501
postings	0.0439926
bulletin	0.0439433
correspondence	0.043877
manifesto	0.0438644
inquiry	0.0438269
plaque	0.0436877
inspection	0.0435838
memoranda	0.0435731
diploma	0.0435454
manuscript	0.0435036
invoice	0.0434168
cancellation	0.0433764
infraction	0.0433498
excerpt	0.0433222
nomination	0.0432639
listing	0.0432135
"Academy Awards"	0.0429999
credential	0.0429448
detention	0.0428963
eulogy	0.0427636
assessment	0.0425756
advertisement	0.0425235
"contingency plan"	0.0424608
"Tony Award"	0.0422773
paragraph	0.0419704
deposition	0.0419563
"job cut"	0.0419228
"Pulitzer Prize"	0.0418873
description	0.0417928
denial	0.0417915
sample	0.0417801
"final judgment"	0.0416818
restitution	0.0416746
"search warrant"	0.0416653
"legal document"	0.0416538
expulsion	0.0415534
bonus	0.0414615
"death penalty"	0.0414161
drownings	0.0413958
"phone call"	0.0413692
CD-ROM	0.0413126
judgement	0.0413053
solicitation	0.0413043
"libel suit"	0.0412579
accusation	0.0412208
analysis	0.0410192
prescription	0.0408878
invitation	0.0408783
misconduct	0.0407713
receipt	0.0407353
visa	0.040638
ultimatum	0.0406316
scholarship	0.0405994
prospectus	0.0405456
"safety feature"	0.0405405
designation	0.0404979
remedy	0.0404124
telegram	0.0404007
"news article"	0.0402434
certification	0.0402227
explanation	0.0401288
biography	0.0400807
waiver	0.0400386
))
(CITES (desc 2496.82) (sims
CWC	0.189937
eco	0.146006
IPU	0.142186
"Damascus Declaration"	0.139084
NSC	0.131425
FOMC	0.123072
"Montreal Protocol"	0.119858
"Israeli Cabinet"	0.118633
ILO	0.115692
NPT	0.111023
PATA	0.109392
"Organization for Economic Cooperation and Development"	0.107753
ESCAP	0.106094
ASEM	0.105447
UPU	0.103163
"Nuclear Non-Proliferation Treaty"	0.101566
"North Atlantic Council"	0.100651
SAARC	0.0987735
JMC	0.0983694
EAC	0.0971278
KEDO	0.0970316
OAS	0.0969564
PNC	0.0965689
AFTA	0.0959844
PCC	0.0959431
G-@@	0.0957788
CMAG	0.0954338
IGC	0.094627
OIC	0.0935312
Politburo	0.0897332
"Group of Rio"	0.0887905
WEU	0.0885011
"Asia Pacific Economic Cooperation"	0.0866019
"Congress Working Committee"	0.0863905
ECOWAS	0.085602
"Executive Committee"	0.0854959
ARF	0.0840637
COMESA	0.0837134
Asia-Europe	0.0833691
"UN Security Council"	0.0832439
interagency	0.0832404
ITTF	0.0831883
WEF	0.0822318
"Rio Group"	0.0821498
"Board of Governors"	0.081827
PECC	0.0812539
OPEC	0.081217
OECD	0.0807275
Interpol	0.0802825
ITU	0.0802153
UNCTAD	0.0801908
CPLP	0.0798503
JLG	0.0795196
"Council of Ministers"	0.0786654
"Paris Club"	0.078434
E.U	0.0772733
"International Maritime Organization"	0.077183
"Jerusalem Committee"	0.0771373
UPC	0.0766391
SADC	0.0766236
"Caribbean Community"	0.0764006
"European Council"	0.0757389
ICC	0.0753434
CSA	0.0749866
CGI	0.0748339
"American Heart Association"	0.0746667
"PLO Executive Committee"	0.0744324
"Commission on Human Rights"	0.0739843
"Andean Group"	0.0737988
WIPO	0.0727401
APEC	0.0724904
EC	0.0724427
ECA	0.0723596
"NZ First"	0.0721917
"Inter-Parliamentary Union"	0.0720584
"United Nations Security Council"	0.072029
"Alcoholics Anonymous"	0.071274
"East African Community"	0.0708829
OCA	0.0708564
"Non-Aligned Movement"	0.0706205
"Olympic Council of Asia"	0.0706138
ACP	0.070458
"Asia-Pacific Economic Cooperation"	0.0704377
"Clean Air Act"	0.0702752
"Organisation of African Unity"	0.0697905
"Contact Group"	0.069686
"Organization of Islamic Conference"	0.0695509
"Organization of Petroleum Exporting Countries"	0.0694229
GC	0.0693379
"Council of Europe"	0.0692049
BOI	0.0692034
"U.N. Security Council"	0.0691367
"Disabilities Act"	0.0688247
"Group of @@"	0.0680456
Mensa	0.0679996
FAO	0.0679594
"International Civil Aviation Organization"	0.0678671
IAAF	0.0677923
OAU	0.0677516
G-@	0.0674593
MPR	0.0668699
PSC	0.0666969
House-Senate	0.0666938
UN	0.0666587
"United Malays National Organization"	0.0664612
"Consultative Group"	0.0651093
"Arab League"	0.0649734
"Geneva convention"	0.0648803
UNESCO	0.064829
"board of regents"	0.0646056
"Bank for International Settlements"	0.0645401
"Kenya African National Union"	0.0643893
"U.S. Congress"	0.0643031
"World Intellectual Property Organization"	0.0639846
FIFA	0.0638887
"Executive Board"	0.063745
"Central Organ"	0.0622814
"General Council"	0.0621777
AHA	0.0620444
NAM	0.0620272
SPF	0.0619312
"Los Angeles City Council"	0.0618441
NDA	0.0617982
SDS	0.0617963
"Economic Community of West African States"	0.0615081
"U.N. Human Rights Commission"	0.0612908
"Urban League"	0.0611883
IGAD	0.0611742
ADB	0.0609981
CSRC	0.0609728
"Interior Department"	0.060866
OSCE	0.0608602
FTAA	0.060645
"Congressional Black Caucus"	0.0606441
"Islamic Conference"	0.060596
NIH	0.0605686
"Sanctions Committee"	0.0603199
DNC	0.060025
NGO	0.0598995
"Australian Olympic Committee"	0.059834
"Big West"	0.0597192
AFI	0.059565
UCI	0.0594606
"Texas Legislature"	0.0593375
UML	0.0593182
"Common Market for Eastern and Southern Africa"	0.0592148
"South Pacific Forum"	0.0591219
"National Council of La Raza"	0.059111
PUC	0.0589468
"Police Commission"	0.0588598
"general assembly"	0.0588249
"Common Market"	0.0587737
Ada	0.0587539
plc	0.0587149
"State Council"	0.0586823
UMNO	0.0586027
"US Supreme Court"	0.0585901
"Senate Foreign Relations Committee"	0.0584667
"National Park Service"	0.0583976
"Fourth World Conference"	0.0582941
"World Economic Forum"	0.058264
zoning	0.058064
CCM	0.0579484
"Federal Open Market Committee"	0.0579462
"NPC Standing Committee"	0.0577805
"Asian Football Confederation"	0.057743
"finance committee"	0.0576752
Lakas	0.0576466
"American Bar Association"	0.057589
"Park Service"	0.0575025
FDA	0.0573594
"United Nations Conference on Trade and Development"	0.0573579
"Universal Postal Union"	0.0573345
"International Labor Organization"	0.0569933
"National Collegiate Athletic Association"	0.0569634
Wye	0.0569417
NDF	0.0568423
"Parades Commission"	0.0566736
"Southern African Development Community"	0.0566096
CAS	0.0565676
"Clean Water Act"	0.0565537
Icann	0.0563946
"ethics committee"	0.0563304
Lakas-NUCD	0.0561878
GCC	0.0561418
"World Jewish Congress"	0.0561393
"EU Commission"	0.0561049
"Central Committee"	0.0559152
"Chinese Olympic Committee"	0.0558861
"Black Panther"	0.0556299
MNLF	0.0554805
GATT	0.0554608
Eaux	0.0553118
"Olympic Committee"	0.0552613
PTA	0.0552229
"National Urban League"	0.055188
"Proposition @@"	0.0551879
"round table"	0.055177
FINA	0.055175
"Community Reinvestment Act"	0.0551611
))
(Citibank (desc 13552.7) (sims
"Bank of America"	0.223308
Citicorp	0.203912
"Wells Fargo"	0.178248
"Deutsche Bank"	0.17592
BankAmerica	0.172471
Citigroup	0.167506
"J.P. Morgan"	0.163465
"Merrill Lynch"	0.157981
"Bankers Trust"	0.151734
BankBoston	0.149255
"Credit Suisse First Boston"	0.148071
"Morgan Stanley Dean Witter"	0.146572
"Salomon Smith Barney"	0.145249
"Morgan Stanley"	0.144769
HSBC	0.141555
"First Union"	0.139787
"Chase Manhattan"	0.135476
"Bear Stearns"	0.134096
NationsBank	0.133869
"Lehman Brothers"	0.133741
"First USA"	0.125998
"Goldman Sachs"	0.12307
"GE Capital"	0.120061
"American Express"	0.118592
BOC	0.118457
"Chase Manhattan Bank"	0.117194
"ABN AMRO"	0.116418
BofA	0.114652
Norwest	0.113323
"Pacific Bell"	0.112551
"Fidelity Investments"	0.112509
ICBC	0.11173
"Bank of New York"	0.110955
"Morgan Stanley Dean Witter &AMP; Co."	0.10986
"Credit Suisse"	0.109559
"J.P. Morgan &AMP; Co."	0.108918
Goldman	0.107923
"General Electric"	0.10735
Mastercard	0.107347
"Warburg Dillon Read"	0.106208
CCB	0.105816
"Merrill Lynch &AMP; Co."	0.105786
"Bell Atlantic"	0.105599
Commerzbank	0.104677
"Industrial Bank of Japan"	0.103852
bank	0.1022
"Southwestern Bell"	0.102068
"Donaldson, Lufkin &AMP; Jenrette"	0.101841
"Time Warner"	0.101542
IBM	0.101076
"General Motors"	0.0998734
"MCI WorldCom"	0.0978369
"Hang Seng Bank"	0.0963623
"Standard Chartered Bank"	0.0960522
ETrade	0.0960304
Texaco	0.0954754
"Ford Motor Co."	0.0953956
UBS	0.0950064
"NationsBanc Montgomery Securities"	0.0949168
Exxon	0.0947922
"Societe Generale"	0.0943265
"Philip Morris"	0.0940358
"First Union Corp."	0.0938571
Motorola	0.0937797
"Federal Express"	0.0936971
"Eastman Kodak"	0.0936615
Mobil	0.0935284
"General Motors Corp."	0.0934982
Siemens	0.0914505
"ING Barings"	0.0913722
Sears	0.0904889
"BP Amoco"	0.0903607
BellSouth	0.0902455
DaimlerChrysler	0.0897208
"Johnson &AMP; Johnson"	0.0888693
"Con Edison"	0.0887714
Monsanto	0.0882518
Merrill	0.0880676
Chevron	0.0879203
"America Online"	0.0877688
"Lockheed Martin"	0.0877193
"John Hancock"	0.0874525
Coca-Cola	0.0873991
"Coca Cola"	0.0870794
Anheuser-Busch	0.0870655
"Travelers Group"	0.0869265
Fedex	0.0868963
"Dresdner Bank"	0.0867381
"Procter &AMP; Gamble"	0.0867139
Enron	0.0865411
Westinghouse	0.0863322
"Dai-Ichi Kangyo Bank"	0.0862433
"Lucent Technologies"	0.0862136
"American International Group"	0.085792
"HSBC Holdings"	0.0857124
"Fuji Bank"	0.0856205
Pfizer	0.0855973
"Sprint PCS"	0.0854937
Schwab	0.0853176
PICC	0.0851947
"Georgia Power"	0.0849587
"Ernst &AMP; Young"	0.0845435
Paribas	0.0843539
Compaq	0.0840531
"Hughes Electronics"	0.083381
EarthLink	0.0831184
"Prudential Securities"	0.0830637
Salomon	0.0825405
Cisco	0.0822406
"Pac Bell"	0.0821906
"Bank of Tokyo-Mitsubishi"	0.082084
KPMG	0.0820017
"Goldman, Sachs &AMP; Co."	0.0818034
"U S West"	0.0814995
DirecTV	0.0814238
"Bank of China"	0.0811031
SDB	0.0810957
Instinet	0.0810597
MCI	0.0808723
SBC	0.0806768
brokerage	0.0806315
Unilever	0.0805456
Kodak	0.0802383
"General Electric Co."	0.0801984
Hewlett-Packard	0.0801675
Bertelsmann	0.0801321
"Washington Mutual"	0.0799413
GTE	0.0798299
Eximbank	0.0797018
Boeing	0.0796789
"JP Morgan"	0.0796463
"Time Inc."	0.079201
"British Telecom"	0.07916
"Burger King"	0.0790945
"Conde Nast"	0.0789353
"Sanwa Bank"	0.0787587
DRI	0.0785937
"United Airlines"	0.0785773
"UBS AG"	0.0785084
Viacom	0.0779666
Daimler-Benz	0.0773635
Nestle	0.0771397
Amoco	0.0771349
"GTE Corp."	0.0769642
"Federal Reserve Bank"	0.0769632
CNOOC	0.0768688
Intel	0.0767624
WorldCom	0.0766623
Cargill	0.0764718
Yukos	0.0764648
"CS First Boston"	0.0764191
"Dell Computer Corp."	0.0763958
"brokerage firm"	0.0761753
"Turner Broadcasting"	0.0761
"Salomon Brothers"	0.0760657
Dupont	0.0759779
PaineWebber	0.0758965
"Paine Webber"	0.0756696
"Fleet Financial Group"	0.0755792
Dresdner	0.0755623
Microsoft	0.0754583
"Microsoft Corp."	0.075382
MindSpring	0.0748492
Merck	0.0747647
Samsung	0.0745465
"World Bank"	0.0743332
"SBC Communications"	0.0742793
Corp.	0.0739066
Xerox	0.0736789
NEC	0.0734824
NIKE	0.0734565
COSCO	0.073312
REVLON	0.0732057
"Barnes &AMP; Noble"	0.0729847
"China Telecom"	0.0729651
"Sony Corp."	0.0729446
"Delphi Automotive Systems"	0.0729146
"Fannie Mae"	0.0728765
prudential	0.0728147
AOL	0.0727344
"R.J Reynolds"	0.0723109
"U.S. Chamber of Commerce"	0.0722642
"BankBoston Corp."	0.0721987
Chrysler	0.0721382
"British Aerospace"	0.0720617
Barclays	0.0720527
Hyundai	0.0720489
Lucent	0.0720374
"Time Warner Inc."	0.0719933
Volvo	0.0718591
"Northwest Airlines"	0.0716533
fidelity	0.0715319
CompuServe	0.0715178
Lockheed	0.0713973
"American Airlines"	0.0713749
"BancBoston Robertson Stephens"	0.0712579
Honeywell	0.0712462
Raytheon	0.0709754
"Home Depot"	0.0706532
"Walt Disney Co."	0.0704438
))
(CITIC (desc 1622.95) (sims
CPAFFC	0.172276
CNOOC	0.171274
BOC	0.158108
"China National Petroleum Corporation"	0.151764
IAI	0.150587
ICBC	0.146851
CCB	0.138084
SDB	0.137718
"Ford Motor Company"	0.136942
ACFTU	0.134232
COSCO	0.132468
CNPC	0.127939
PICC	0.125336
CCF	0.124581
Eximbank	0.123582
YankeeNets	0.119978
ACWF	0.118429
Yukos	0.118262
"Chinese Olympic Committee"	0.115182
"All-China Journalists Association"	0.113801
"All-China Youth Federation"	0.113041
CCPIT	0.11296
"Association for Relations Across"	0.111797
"China Council"	0.102399
KPA	0.101468
Unicom	0.099989
"Hyundai Group"	0.0987182
SPC	0.0976161
ITT	0.0976117
"National Grid"	0.0963468
"China Unicom"	0.0955447
CFA	0.0937788
"Enron Corp."	0.0933234
"Association for Friendship"	0.0927919
GANNETT	0.0926633
UPI	0.0923127
Sumitomo	0.0898768
"China Society"	0.0892808
Sinopec	0.0885872
PATA	0.085487
ARATS	0.085487
"GE Capital"	0.0852699
"Organizing Committee"	0.0849401
"U.S. Soccer Federation"	0.0848949
"China Association for Science"	0.0841377
CMA	0.0837988
"Con Edison"	0.0834645
GPU	0.0829104
CASS	0.0828087
EBRD	0.0825851
"All-China Federation"	0.0819402
"China National Tourism Administration"	0.0819302
CSX	0.081773
Nomura	0.0807163
Garuda	0.0806403
"Wine Institute"	0.0805417
ADB	0.080461
"Industrial Bank of Japan"	0.0799701
Cablevision	0.0794951
CSRC	0.0791011
UBS	0.0783247
CIRC	0.0778549
PTA	0.0775016
AMC	0.0773222
"China Federation"	0.0772858
AGL	0.0772557
AmCham	0.0770896
HSBC	0.0769743
Vivendi	0.0769338
"State Development Bank"	0.0766117
"EU Commission"	0.0764765
Carrefour	0.0764445
"New York Times Co."	0.0762398
Occidental	0.0749827
ENTREMED	0.0748284
Ericsson	0.0744309
Dresdner	0.0738816
"Securities Industry Association"	0.0737366
Lagardere	0.0736211
ABSA	0.0736044
"Monsanto Co."	0.0735835
"Southern Co."	0.073422
OCA	0.0734135
"Export-Import Bank"	0.0734065
"News Corp."	0.0732992
"Industrial and Commercial Bank of China"	0.073098
"Australian Olympic Committee"	0.0730607
"British Telecom"	0.0729137
"State Law and Order Restoration Council"	0.072696
TAZARA	0.0725118
SBA	0.0720049
"Alcoholics Anonymous"	0.0718774
"Asia Society"	0.0716875
"Chronicle Publishing"	0.0716717
SBC	0.0716084
OPIC	0.0714629
"Cambodian People's Party"	0.0712828
HKTA	0.0712523
"State Peace and Development Council"	0.0710504
"Thai Farmers Bank"	0.0709781
"Korean Air"	0.0708246
"Pacific Exchange"	0.0707794
"Singapore Airlines"	0.0707683
AOC	0.0706012
Roberds	0.0705086
SFX	0.0704898
"Deutsche Bank"	0.0704621
WEF	0.0704538
"Board of Supervisors"	0.0703592
"Foreign Affairs Committee"	0.0703404
MACROMEDIA	0.0700303
CNTA	0.0699851
IDG	0.0698997
Softbank	0.0698017
Daiwa	0.06972
Bundestag	0.0696195
ABB	0.0696149
"China Telecom"	0.0694302
CAS	0.0693845
Novartis	0.0692122
"U.S. Golf Association"	0.0683596
"Charles Schwab Corp."	0.0681536
Sidanko	0.0680793
"International Society"	0.0679677
Nestle	0.0679025
JMC	0.0678541
NTT	0.0677961
Barclays	0.0676701
Viacom	0.0673481
"Legend Group"	0.067331
"Bank of China"	0.0671837
Alcatel	0.0670173
"First Union"	0.0669972
"Atomic Energy Commission"	0.0667251
"Public Security Ministry"	0.0665471
"CBS Sports"	0.0665266
"General Motors Corp."	0.0664872
"Rotary International"	0.0664138
"Association of Flight Attendants"	0.0661721
Biman	0.066165
PETROBRAS	0.0660537
"Visa International"	0.065969
Citibank	0.0657896
"Olympic Committee"	0.0656986
"General Electric Co."	0.0655948
PECC	0.065377
"National Trust"	0.0651272
Ahold	0.0651198
"Toyota Motor Corp."	0.0648873
CGI	0.0648198
SCLC	0.0647531
"Xinhua News Agency"	0.0646514
Cargill	0.0646507
"Council of State"	0.0646316
MetLife	0.0646177
"International Skating Union"	0.0644133
"Hughes Electronics"	0.0643126
UMNO	0.0642444
"Housing Authority"	0.0642054
"Con Ed"	0.0640797
Pertamina	0.0640532
Siemens	0.0639465
NASD	0.0638994
"Times Co."	0.0638633
EA	0.0638582
"Berkshire Hathaway"	0.0637792
Daimler-Benz	0.0636293
ENTERGY	0.063578
Bi	0.0635757
"Credit Lyonnais"	0.0635716
"Air Line Pilots Association"	0.0635138
"American Association of Health Plans"	0.0634674
"Medical Society"	0.063304
ALZA	0.063135
"China Construction Bank"	0.0631111
"Kosovo Verification Mission"	0.062916
USEC	0.0627952
Gazprom	0.0627663
"J&AMP;J"	0.0627348
NSC	0.0626654
"holding company"	0.062655
"Walt Disney Co."	0.0626549
CDB	0.0626439
"Daewoo Group"	0.0625362
MTA	0.0625165
NARAL	0.0625089
"U.S. Chamber of Commerce"	0.0623035
"Great Hural"	0.0621578
Healtheon	0.0620781
FSA	0.0620152
"AOL Time Warner"	0.0619741
"International Badminton Federation"	0.0616172
"Niagara Mohawk"	0.0615769
Edmund	0.0615492
"Bank of Communications"	0.0614979
ICA	0.0614343
CWA	0.0612773
Starwood	0.0612639
Westinghouse	0.061106
E-Trade	0.0610885
))
(Citicorp (desc 5951.51) (sims
BankAmerica	0.241923
Citigroup	0.221444
Citibank	0.203912
"Deutsche Bank"	0.183352
"Chase Manhattan"	0.177186
NationsBank	0.176168
"Deutsche Bank AG"	0.173807
UBS	0.169014
"Bank of America"	0.167003
"BankAmerica Corp."	0.163974
"UBS AG"	0.159882
"Bankers Trust"	0.159469
"ABN AMRO"	0.157242
Norwest	0.155149
"Travelers Group"	0.153229
"J.P. Morgan"	0.152276
Nikko	0.15147
"First Union"	0.151277
"NationsBank Corp."	0.147207
"Wells Fargo"	0.146644
Viacom	0.14637
WorldCom	0.135916
Warner-Lambert	0.132862
"Time Warner"	0.131923
TCI	0.130169
GTE	0.128757
Daimler	0.128434
Mobil	0.127455
"Morgan Stanley"	0.125901
"American Home"	0.123093
"Morgan Stanley Dean Witter"	0.122387
"Chrysler Corp."	0.121596
"Bell Atlantic"	0.121479
Alcan	0.121332
Chrysler	0.121255
"Bankers Trust Corp."	0.12056
"BankBoston Corp."	0.120444
"GE Capital"	0.119854
"American Home Products"	0.119775
Daimler-Benz	0.119061
"BP Amoco"	0.118719
"U S West"	0.117602
Paribas	0.117348
HSBC	0.116167
Aetna	0.116127
"First Union Corp."	0.115996
Ameritech	0.11543
"HSBC Holdings"	0.11527
Amoco	0.113645
"Global Crossing"	0.113361
Monsanto	0.113282
"Societe Generale"	0.112928
"Chase Manhattan Corp."	0.112776
Pepsico	0.11228
MCI	0.112
"American International Group"	0.11161
Healtheon	0.110643
"Daimler-Benz AG"	0.109896
Vivendi	0.109547
"Exxon Mobil"	0.109426
Seagram	0.109042
"Bell Atlantic Corp."	0.108669
"UAL Corp."	0.108573
"Time Warner Inc."	0.108464
SmithKline	0.108443
Exxon	0.108432
BofA	0.108374
UAL	0.107144
BankBoston	0.106897
EarthLink	0.106465
Ciena	0.106371
"Credit Suisse"	0.106061
"SBC Communications"	0.105709
SBC	0.105212
"Exxon Corp."	0.104674
"Chase Manhattan Bank"	0.104487
"JP Morgan"	0.10389
"US Airways"	0.103672
MindSpring	0.103363
"MCI WorldCom"	0.103258
"WorldCom Inc."	0.10319
"U.S. Trust"	0.102701
WPP	0.101502
PaineWebber	0.101209
Hoechst	0.100657
"Glaxo Wellcome"	0.100552
"Telecom Italia"	0.100414
"Bank of New York"	0.0995622
Bertelsmann	0.0991397
"RJR Nabisco"	0.0991143
"Sprint Corp."	0.0989949
"Lehman Brothers"	0.098909
"GTE Corp."	0.0984728
"Merrill Lynch"	0.0983291
Mediaone	0.0983059
"Hambrecht &AMP; Quist"	0.0978307
"Thermo Electron"	0.0977564
"USA Networks"	0.0974652
"Time Inc."	0.0967875
ALZA	0.0964931
Honeywell	0.0961247
"Bear Stearns"	0.0958918
Chevron	0.0958679
"American Home Products Corp."	0.0956633
Qwest	0.095273
Texaco	0.0951461
Cendant	0.0949142
"Burlington Northern"	0.0945681
Totalfina	0.0942481
Bestfoods	0.0934262
"Salomon Smith Barney"	0.0933547
"HBO &AMP; Co."	0.0930154
"Seagram Co."	0.0928006
"British Aerospace"	0.0925188
"Dow Jones &AMP; Co."	0.0923762
"British Petroleum"	0.0922418
Enron	0.0919041
"Y&AMP;R"	0.0918996
ARCO	0.091782
"McDonnell Douglas"	0.0912596
"Goldman Sachs Group"	0.0910155
Astra	0.0907912
"General Electric"	0.0905226
"America Online Inc."	0.0902218
Volvo	0.0900679
"Philip Morris"	0.0899689
AMR	0.0897643
"Deutsche Telekom"	0.0895074
"Atlantic Richfield"	0.0893667
prudential	0.0891271
Dresdner	0.0890835
"News Corp."	0.089081
Publicis	0.0888789
"Johnson &AMP; Johnson"	0.0886844
McKesson	0.0884548
Comcast	0.0884517
Airtouch	0.0883902
"Northeast Utilities"	0.0881755
"America Online"	0.0879773
"Aetna Inc."	0.0878556
Lockheed	0.0877659
"J.P. Morgan &AMP; Co."	0.0876129
Aegon	0.0868157
SDB	0.0867768
"Union Pacific"	0.0866258
"SmithKline Beecham"	0.086467
Starwood	0.0863531
DaimlerChrysler	0.0862301
"Chevron Corp."	0.0861838
Pfizer	0.0858057
"General Electric Co."	0.0853346
GeoCities	0.0853286
"Walt Disney Co."	0.0851572
"Knight Ridder"	0.0851045
"Oracle Corp."	0.0850767
ENTREMED	0.0849753
Hewlett-Packard	0.0847884
Comsat	0.0845394
"London Stock Exchange"	0.0841828
Dupont	0.0839848
"American Express"	0.0839584
Compaq	0.0839304
Novartis	0.083871
BellSouth	0.083795
"Morgan Stanley Dean Witter &AMP; Co."	0.083389
NatWest	0.0832945
"General Motors"	0.0831947
"Berkshire Hathaway"	0.0831562
Unilever	0.0828423
Deutsche	0.08276
Lycos	0.0827535
Sumitomo	0.0826938
VEBA	0.0826178
Qualcomm	0.0824768
AIG	0.0823012
"Dow Chemical"	0.0822204
Alltel	0.0821738
Travelers	0.0820806
Litton	0.08207
"SBC Communications Inc."	0.0819282
Renault	0.0818436
"Pfizer Inc."	0.0818344
Eximbank	0.0817561
"Procter &AMP; Gamble"	0.0815801
"Tele-Communications Inc."	0.0815372
Amgen	0.0814652
VENATOR	0.0814014
"Times Mirror"	0.0813853
"Lockheed Martin"	0.0812159
BP	0.0811956
LTCB	0.0807931
CitySearch	0.0807757
Nabisco	0.080705
Lilco	0.0805032
"International Paper"	0.0803739
Penney	0.079999
Alcoa	0.07986
GEC	0.0797295
"Salomon Brothers"	0.079599
"Long-Term Credit Bank"	0.0794901
))
(Citigroup (desc 20268) (sims
"J.P. Morgan"	0.221558
Citicorp	0.221444
"American Express"	0.21866
"Chase Manhattan"	0.183056
BankAmerica	0.181001
"General Electric"	0.179965
"Merrill Lynch"	0.177817
Merck	0.176833
IBM	0.174099
"Deutsche Bank"	0.172082
"Johnson &AMP; Johnson"	0.170305
Citibank	0.167506
"Dell Computer"	0.167198
"Bank of America"	0.166982
Pepsico	0.166406
"Cisco Systems"	0.162593
"Bankers Trust"	0.161097
"Procter &AMP; Gamble"	0.160715
Halliburton	0.159652
"Bear Stearns"	0.158314
UBS	0.158099
"Travelers Group"	0.156035
"Morgan Stanley Dean Witter"	0.154336
"Time Warner"	0.153953
DaimlerChrysler	0.153429
"Morgan Stanley"	0.151166
"Goldman Sachs Group"	0.150461
Dupont	0.14849
"Philip Morris"	0.148287
"Lehman Brothers"	0.147556
Unilever	0.147336
"Goldman Sachs"	0.147187
"Eastman Kodak"	0.146753
Alcoa	0.146372
"News Corp."	0.146363
Motorola	0.145533
UAL	0.145153
Hewlett-Packard	0.144658
Viacom	0.144511
"International Paper"	0.143616
"First Union"	0.143246
EMC	0.142627
"MCI WorldCom"	0.142521
"General Motors"	0.14252
Chevron	0.142434
oracle	0.142373
Novartis	0.141967
Exxon	0.141966
"Exxon Mobil"	0.141068
Goldman	0.140857
Monsanto	0.138034
"ABN AMRO"	0.137926
Intel	0.137686
WorldCom	0.13762
Qualcomm	0.137607
"Citigroup Inc."	0.137299
"Credit Suisse"	0.13477
Coca-Cola	0.134637
"Bell Atlantic"	0.134044
Gillette	0.13291
"UAL Corp."	0.132396
Merrill	0.132309
HSBC	0.131824
Nortel	0.130529
"United Technologies"	0.130433
"UBS AG"	0.12923
Honeywell	0.128835
Pfizer	0.128374
BellSouth	0.128188
"America Online"	0.12769
"Morgan Stanley Dean Witter &AMP; Co."	0.127146
Compaq	0.126529
"Wells Fargo"	0.125785
"BP Amoco"	0.125752
Kodak	0.125709
"Walt Disney Co."	0.123707
Cisco	0.123225
BofA	0.123158
"Credit Suisse First Boston"	0.123032
"American International Group"	0.122822
Vivendi	0.121951
Warner-Lambert	0.121159
Mattel	0.120935
Mobil	0.120915
Wal-Mart	0.120623
Biogen	0.120502
Enron	0.120383
McKesson	0.120113
AMR	0.1195
"HSBC Holdings"	0.11911
Raytheon	0.118356
"Sun Microsystems"	0.117362
Seagram	0.117252
"Deutsche Telekom"	0.117199
"Seagram Co."	0.116697
BankBoston	0.116689
AIG	0.116548
"Salomon Smith Barney"	0.116419
"Lucent Technologies"	0.115867
Aetna	0.115656
NationsBank	0.115561
Dell	0.115543
REVLON	0.115305
"P&AMP;G"	0.114976
SBC	0.11469
"GE Capital"	0.114603
Bertelsmann	0.11444
Xerox	0.114407
GANNETT	0.113828
Amgen	0.1135
GTE	0.113149
"American Home Products"	0.11286
"JP Morgan"	0.112491
Cendant	0.112303
"Hewlett Packard"	0.111999
"Gap Inc."	0.111812
Comcast	0.111422
TCI	0.111082
Texaco	0.110448
Caterpillar	0.110119
"Fannie Mae"	0.110096
"Dresdner Bank"	0.109629
Healtheon/WebMD	0.109321
ARCO	0.109288
"Global Crossing"	0.108864
"Time Warner Inc."	0.10886
"Times Co."	0.108595
"Union Carbide"	0.108388
"Daimlerchrysler AG"	0.10837
Mannesmann	0.108346
"Chase Manhattan Corp."	0.108289
"Y&AMP;R"	0.108233
Hasbro	0.10811
"Thermo Electron"	0.107902
Ge	0.107718
"JDS Uniphase"	0.107621
Aegon	0.10727
Healtheon	0.107117
SmithKline	0.106744
Norwest	0.105979
Microsoft	0.105888
"Merrill Lynch &AMP; Co."	0.105447
"Lockheed Martin"	0.105368
AOL	0.105331
"AMR Corp."	0.105137
Schlumberger	0.105066
Telefonica	0.105028
TYCO	0.104883
Sunbeam	0.104843
"U S West"	0.1047
"Charles Schwab"	0.104631
"J.P. Morgan &AMP; Co."	0.104388
"Eli Lilly"	0.104383
"RJR Nabisco"	0.103996
"Berkshire Hathaway"	0.103987
CMGI	0.103833
Boeing	0.103625
"General Electric Co."	0.10342
"Coca-Cola Co."	0.103273
Sony	0.103193
MCI	0.10286
Disney	0.102561
"Glaxo Wellcome"	0.102538
Chrysler	0.102365
"Paine Webber"	0.102339
"Halliburton Co."	0.102094
Yahoo	0.101825
Schwab	0.101813
"Ford Motor Co."	0.101501
"Bristol-Myers Squibb"	0.101152
"Times Mirror"	0.101017
AlliedSignal	0.100791
Providian	0.100309
Qwest	0.100194
Nextel	0.100135
"Robertson Stephens"	0.100058
"General Motors Corp."	0.100014
"America Online Inc."	0.0999333
"Compaq Computer"	0.099918
"Computer Associates"	0.0999052
"Dayton Hudson"	0.0995884
Lucent	0.0995343
Ericsson	0.0995013
PaineWebber	0.0994054
"Pfizer Inc."	0.0993319
"Knight Ridder"	0.0992681
RJR	0.0990573
Bestfoods	0.0990364
Amazon.com	0.0989686
"Ford Motor"	0.0988208
"Intel Corp."	0.0984654
"Deutsche Bank AG"	0.0983213
"Texas Instruments"	0.0982624
"Chase Manhattan Bank"	0.0980456
Medtronic	0.0977136
"SBC Communications"	0.097001
"Wal-Mart Stores"	0.096855
Georgia-Pacific	0.0964642
"Home Depot"	0.096392
Kellogg	0.0963609
))
("Citigroup Inc." (desc 1260) (sims
"Chase Manhattan Corp."	0.301558
"First Union Corp."	0.230937
"NationsBank Corp."	0.209806
"Halliburton Co."	0.164702
"Federated Department Stores"	0.146757
"American International Group"	0.146528
"AMR Corp."	0.145041
"UBS AG"	0.143666
"Bertelsmann AG"	0.141549
"SBC Communications Inc."	0.141543
"Seagram Co."	0.14012
Citigroup	0.137299
"Credit Suisse"	0.136237
"HSBC Holdings"	0.128038
"International Business Machines Corp."	0.127273
"Softbank Corp."	0.12557
"Chevron Corp."	0.120774
"Hearst Corporation"	0.120104
"Morgan Stanley Dean Witter &AMP; Co."	0.120016
"Omnicom Group"	0.118882
"Viacom Inc."	0.118463
"Vivendi SA"	0.116639
"First USA"	0.115391
"CMGI Inc."	0.114672
Publicis	0.114563
"Pepsico Inc."	0.113389
"Dow Jones &AMP; Co."	0.111449
"EMC Corp."	0.111385
"Daimlerchrysler AG"	0.110399
"Berkshire Hathaway"	0.109707
"Cisco Systems Inc."	0.109513
emachines	0.108649
"Mattel Inc."	0.107626
"Wells Fargo"	0.106863
"Aetna Inc."	0.106593
"BankAmerica Corp."	0.106363
"Goldman Sachs Group"	0.106158
"UAL Corp."	0.105334
Unilever	0.105275
"Merck &AMP; Co."	0.104407
Omnicom	0.104363
"Enron Corp."	0.10391
"SBC Communications"	0.103227
"Travelers Group"	0.10308
"BellSouth Corp."	0.102487
"J.P. Morgan &AMP; Co."	0.102092
WPP	0.101823
"Monsanto Co."	0.100889
UAL	0.100152
"Hughes Electronics Corp."	0.0998917
"Saatchi &AMP; Saatchi"	0.099881
Hasbro	0.0986713
China.com	0.0984945
"Hyundai Group"	0.0984852
Novartis	0.0979489
"building society"	0.0974879
"National Semiconductor"	0.0973776
Telefonica	0.0973464
Telstra	0.0968279
"Bell Atlantic Corp."	0.0966928
"True North"	0.0966695
"Tele-Communications Inc."	0.0964637
"Volkswagen AG"	0.0956156
"Pharmacia &AMP; Upjohn"	0.0948515
"Times Mirror Co."	0.0945061
"Gap Inc."	0.0940276
Menatep	0.0939999
"Nippon Telegraph"	0.0934159
"Thai Farmers Bank"	0.0931853
AMR	0.0923845
"Special Forces"	0.0922576
"Royal Dutch/Shell"	0.0922392
"Exxon Mobil"	0.0922132
"Applied Materials"	0.092212
"Vanguard Group"	0.091573
Viacom	0.0912458
Eni	0.0908012
Healtheon	0.0906858
Seagram	0.0901921
Checkfree	0.0900487
"Bankers Trust Corp."	0.0882619
Corp.	0.0880781
"Chase Manhattan Bank"	0.0873991
"Time Warner Inc."	0.0873633
"Vodafone AirTouch"	0.0870458
"Johnson &AMP; Johnson"	0.0869541
"Putnam Investments"	0.0865684
"Prudential Insurance Co."	0.0863785
Schlumberger	0.0858293
"HBO &AMP; Co."	0.0854807
"Deutsche Bank AG"	0.0850698
"Ameritech Corp."	0.0848982
"Philip Morris Cos."	0.0848447
"Pfizer Inc."	0.0846206
"Northern Telecom"	0.0842369
"Exxon Corp."	0.0840688
"De Beers"	0.0837224
"Symantec Corp."	0.0836165
"MindSpring Enterprises"	0.083386
"Morgan Stanley Dean Witter"	0.0833595
"ELF AQUITAINE"	0.0829355
CitySearch	0.0828483
"GTE Corp."	0.0826454
"Times Co."	0.0822907
Enron	0.0822702
"Dayton Hudson"	0.0822582
"Fidelity Investments"	0.0821438
"General Electric Co."	0.0819252
WebMD	0.0815906
"America Online Inc."	0.0814044
"Verizon Communications"	0.081379
"Tribune Co."	0.0811619
Healtheon/WebMD	0.0805785
"Knight Ridder"	0.0804644
Amgen	0.0804554
Nortel	0.080046
ENTREMED	0.0799116
Halliburton	0.0794956
"Universal Music Group"	0.0794804
Alcatel	0.0793924
"Comcast Corp."	0.0793634
Wachovia	0.0792287
Softbank	0.0791697
"Cendant Corp."	0.0791253
EMC	0.0787619
"Ford Motor Company"	0.0783842
"Vodafone Airtouch PLC"	0.0783069
Ltd	0.0781435
UBS	0.077977
"Coca-Cola Co."	0.077709
"Cisco Systems"	0.0776576
Bridgestone	0.0775822
Tropicana	0.0774819
Pepsico	0.0765733
"Network Associates"	0.0764505
"Oracle Corp."	0.0763573
"Learning Co."	0.0759782
"Relevant Knowledge"	0.0757988
"Siemens AG"	0.0754377
"CBS Corp."	0.0753426
"News Corp."	0.0752656
"Liberty Media"	0.0752306
BankAmerica	0.0747694
YPF	0.0746407
"First Union"	0.0745916
"Philip Morris"	0.0745791
"Sprint Corp."	0.0743688
Daimler-Chrysler	0.0741502
"Northeast Utilities"	0.0739602
"Gillette Co."	0.0738173
"Chase Manhattan"	0.0736268
"T Corp."	0.0733753
GANNETT	0.0731829
"Yahoo Inc."	0.0731807
"Goldman Sachs"	0.0729291
"Pacific Century Cyberworks"	0.0726854
Interpublic	0.0725886
"Intel Corp."	0.0722463
"Walt Disney"	0.0722416
DoubleClick	0.0722333
AstraZeneca	0.0720097
"Ford Motor Co."	0.0716296
"MCI WorldCom"	0.0714097
Litton	0.0712439
"Union of Right Forces"	0.0712278
"Lockheed Martin Corp."	0.0710984
Lukoil	0.0710199
Bertelsmann	0.0708561
"Walt Disney Co."	0.0706516
Genentech	0.0705621
"Fannie Mae"	0.0704454
"Livent Inc."	0.0702867
"Wal-Mart Stores Inc."	0.0702592
"Bankers Trust"	0.0699428
"Bank of Japan Ltd."	0.0699356
BHP	0.0696874
"United Parcel Service"	0.0696529
Emulex	0.0694989
"Charles Schwab Corp."	0.0694888
"Computer Associates"	0.0693671
PolyGram	0.0693427
Daimler-Benz	0.0691969
"Atlantic Richfield"	0.0689676
"Cadbury Schweppes"	0.0681704
"General Motors Corp."	0.0679592
"PC Data"	0.0677371
"Gannett Co."	0.0677152
"Andersen Consulting"	0.0676793
"Wal-Mart Stores"	0.0676178
"Advanced Micro"	0.067538
Transmeta	0.0673898
"Volvo AB"	0.0673031
Aetna	0.0672393
"Bristol-Myers Squibb"	0.0667612
"GE Capital"	0.0666409
"Daimler-Benz AG"	0.0663386
Mannesmann	0.0661106
Cargill	0.0660267
ABSA	0.0660094
GTE	0.0658939
))
(citizen (desc 152721) (sims
resident	0.230953
people	0.217344
foreigner	0.181363
American	0.179062
worker	0.177789
individual	0.176966
farmer	0.171376
national	0.169491
businessmen	0.167996
student	0.164133
immigrant	0.161281
civilian	0.159752
member	0.15614
consumer	0.155952
employee	0.153538
journalist	0.153491
woman	0.151094
investor	0.150283
voter	0.146859
refugee	0.146839
person	0.144336
Jew	0.141713
minority	0.140415
child	0.140183
Filipino	0.139159
diplomat	0.139061
public	0.138586
tourist	0.136248
parent	0.135979
Chinese	0.134555
soldier	0.1335
taxpayer	0.133123
politician	0.132743
official	0.131478
those	0.130546
community	0.129785
customer	0.129579
Palestinian	0.129187
villager	0.128444
family	0.127925
prisoner	0.127693
government	0.126832
population	0.125581
user	0.125524
activist	0.125288
adult	0.124808
patient	0.123606
inmate	0.123435
Mexican	0.123387
Nigerian	0.123058
traveler	0.122765
Serbs	0.121633
Albanian	0.121135
Iranian	0.121135
leader	0.121089
officer	0.121009
athlete	0.12092
scientist	0.120897
teacher	0.120895
passenger	0.120634
victim	0.120278
entrepreneur	0.119638
youth	0.119427
visitor	0.119176
doctor	0.119147
Russian	0.118098
man	0.117867
Israeli	0.117545
youngster	0.11703
"senior citizen"	0.115518
lawmaker	0.115494
Canadian	0.114843
authority	0.11427
Muslim	0.114001
homeowner	0.113506
personnel	0.113221
employer	0.113093
others	0.112389
group	0.112097
christian	0.11198
"business leader"	0.111937
enterprise	0.111933
"business community"	0.111704
Cuban	0.111186
criminal	0.110854
Reader	0.110606
dissident	0.1102
Fishermen	0.109855
anyone	0.109543
"civil servant"	0.109401
Indonesian	0.109346
Iraqi	0.10909
relative	0.108792
fan	0.108789
"family member"	0.108358
retiree	0.107921
nation	0.107912
motorist	0.107806
"military personnel"	0.107715
poor	0.106998
laborer	0.106598
police	0.106589
owner	0.10643
Kenyan	0.106294
professional	0.10621
"South African"	0.105839
Malaysian	0.105568
"college student"	0.105374
"police officer"	0.105032
teen-ager	0.104045
everyone	0.10401
black	0.103737
legislator	0.103653
Arab	0.10364
company	0.103553
household	0.103236
viewer	0.102756
businessman	0.102717
Briton	0.102708
organization	0.102578
driver	0.102501
country	0.102444
participant	0.102363
troop	0.102121
"military officer"	0.101999
Lebanese	0.101565
corporation	0.101466
inhabitant	0.101369
constituent	0.100973
migrant	0.100758
Cambodian	0.100372
institution	0.100244
volunteer	0.0999368
servicemen	0.0998659
"political leader"	0.0996906
neighbor	0.099617
banker	0.0995306
Catholic	0.099418
Tibetans	0.0994085
Kurds	0.0993933
Hispanic	0.0993347
"union member"	0.0992817
schoolchildren	0.0992273
settler	0.0991454
guest	0.0989984
scholar	0.0989233
"political party"	0.0987701
intellectual	0.0987602
policemen	0.098702
"army officer"	0.098576
Jordanian	0.0980244
donor	0.0979611
smoker	0.0979576
"armed forces"	0.0978374
supporter	0.0977829
delegate	0.0977605
state	0.0974184
client	0.0972911
player	0.0972093
applicant	0.0972011
artist	0.0971934
President	0.0971188
"human being"	0.0970094
kid	0.0969732
veteran	0.0966453
expatriate	0.0964878
shareholder	0.0964327
peasant	0.0956151
"university student"	0.0953097
agency	0.0951362
Democrat	0.0950399
buyer	0.0949318
terrorist	0.0948594
"head of state"	0.0948478
physician	0.0946163
recipient	0.0943734
pilot	0.0942607
folk	0.0940847
Ugandan	0.0939877
"New Yorker"	0.0939603
society	0.0939013
German	0.0938826
lawyer	0.0937417
trader	0.0937248
suspect	0.0936919
Thai	0.0935237
Ambassador	0.0929483
observer	0.0924204
defendant	0.0922575
representative	0.0920691
Japanese	0.0918924
Republican	0.0917675
military	0.0915684
elderly	0.091492
Texan	0.0913993
environmentalist	0.0913846
expert	0.0913791
Australian	0.0910881
exporter	0.0910069
Indian	0.0909371
))
("Citizen Kane" (desc 3358.06) (sims
"Mighty Joe Young"	0.110403
"Smoke Signals"	0.103521
"Taxi Driver"	0.0942132
"Cruel Intentions"	0.0908275
Spartacus	0.0896081
psycho	0.0857498
"Toy Story"	0.0846287
Antz	0.0844792
"Natural Born Killers"	0.0785427
EdTV	0.0764499
Pinocchio	0.0763053
"Opium War"	0.0734488
Godzilla	0.0732225
"Fight Club"	0.0722451
"Blade Runner"	0.071643
"Primary Colors"	0.0704401
"Titan A.E."	0.0687829
Tootsie	0.0666606
Goodfellas	0.0660486
E.T	0.0657681
"L.A Confidential"	0.0651358
ROUNDERS	0.0649038
Casablanca	0.0643722
"Saving Private Ryan"	0.0641108
"Good Will Hunting"	0.0635315
"Cradle Will Rock"	0.0630055
"Star Wars"	0.0629968
"Jurassic Park"	0.0626554
"Jerry Maguire"	0.0623011
"high noon"	0.0622643
"Double Jeopardy"	0.0617213
Trainspotting	0.0609798
"Life Is Beautiful"	0.060667
"Great Expectations"	0.0604826
"rear window"	0.0604226
Jawbreaker	0.0602074
Footloose	0.0599272
"Little Voice"	0.059772
"Erin Brockovich"	0.0592765
Samson	0.0587028
"Nurse Betty"	0.0584571
"Boogie Nights"	0.0584479
"Animal House"	0.0584187
"Parent Trap"	0.0578379
noir	0.0569168
"True Thing"	0.056245
"Runaway Bride"	0.0560014
"high fidelity"	0.0556212
"King Kong"	0.055599
"Eyes Wide Shut"	0.0554354
swinger	0.0548765
"snake eyes"	0.0544992
"Moby Dick"	0.0541715
Sabrina	0.0541426
"Night Fever"	0.0541232
"American Pie"	0.0537778
Exorcist	0.053534
"Don Quixote"	0.0533528
"High Art"	0.0532294
"Meet Joe Black"	0.0529181
Lolita	0.052896
"wing commander"	0.0526594
"Thomas Crown Affair"	0.052576
Armageddon	0.0521229
"Patch Adams"	0.0520595
stepmom	0.0518594
"Blair Witch"	0.0518426
"American Beauty"	0.0517117
"Forrest Gump"	0.051554
"Dirty Dancing"	0.0507012
Mulan	0.050686
Macbeth	0.0504941
"Pulp Fiction"	0.0502424
"Inspector Gadget"	0.0501459
"atom bomb"	0.0497857
"Austin Powers"	0.0496034
"Indiana Jones"	0.0495249
OED	0.0495002
"Velvet Goldmine"	0.0494264
Hoosier	0.0490756
"chicken run"	0.0489898
"Luke Skywalker"	0.0484471
Bulworth	0.0483722
FARGO	0.0482133
Pleasantville	0.0481765
"Varsity Blues"	0.0480376
Frankenstein	0.0480324
Porgy	0.0480211
"Straight Story"	0.0477812
Rashomon	0.0477234
Cleopatra	0.0474342
Schindler	0.0471696
Amadeus	0.0468109
"Pink Floyd"	0.0467772
out-of-towners	0.046666
U-@@@	0.0450225
"Star Trek"	0.0446876
"Princess Mononoke"	0.0442539
Ronin	0.0441959
masterwork	0.0441024
Fantasia	0.0440355
jaws	0.0439684
Dolittle	0.0439544
Requiem	0.0438376
"Civil Action"	0.0436523
"Central Station"	0.0436018
"Being John Malkovich"	0.0434269
"six degrees"	0.0433319
scarecrow	0.0431929
RealPlayer	0.0430052
"Notting Hill"	0.0425118
prequel	0.0423554
X-MEN	0.042348
Batman	0.0422905
"Francis Ford Coppola"	0.0420762
brute	0.0420165
Ulysses	0.0419032
Terminator	0.0418234
godfather	0.0417942
"Lone Ranger"	0.0417566
"Windows @.@"	0.0416654
Magnolia	0.0413249
"Deep Impact"	0.0410472
tumbleweed	0.0410133
"South Park"	0.0409278
Rhapsody	0.0407978
entrapment	0.0406744
"picture show"	0.0404515
vertigo	0.0404145
perigee	0.0403662
Aron	0.0402962
talkie	0.0400988
))
(citizenry (desc 6193.21) (sims
populace	0.0983048
"business community"	0.079819
electorate	0.0700193
"British people"	0.0557923
inhabitant	0.0555451
"body politic"	0.0551061
"social group"	0.0538386
Nigerian	0.0528331
NGOs	0.0528172
Moslem	0.052809
"work force"	0.0522776
"rank and file"	0.0513202
"public opinion"	0.0503658
constituent	0.0498902
"labor force"	0.0487474
townspeople	0.0485618
"medical community"	0.048262
"minority shareholder"	0.0480651
Iowan	0.0480056
"circulatory system"	0.0479864
"legal community"	0.0472226
"common people"	0.0464383
"business interest"	0.0455909
"business sector"	0.0452395
"non-governmental organizations"	0.0450943
ecosystem	0.0448407
"health professional"	0.0445064
"moral obligation"	0.0444677
Fijian	0.0443217
"small farmer"	0.0438452
"foster child"	0.0437699
"common man"	0.0437444
stakeholder	0.0434744
workforce	0.0434443
fandom	0.0431006
ex-combatants	0.0429309
strongmen	0.042916
listener	0.0427317
"ball club"	0.0425982
"labor movement"	0.0425604
taxpayer	0.0424762
whistle-blowers	0.0420067
"coal miner"	0.0415415
"sports fan"	0.0415065
Kurds	0.0411999
"core group"	0.04118
"fire brigade"	0.0411507
grower	0.0409054
homeowner	0.0408969
ecology	0.0408862
"policy maker"	0.0408666
"paramilitary organization"	0.0407703
"United National Party"	0.0405554
Anglos	0.0403547
clientele	0.0403366
))
(citizenship (desc 33550.4) (sims
asylum	0.178632
residency	0.178134
"work permit"	0.152426
naturalization	0.150502
passport	0.130896
visa	0.129899
nationality	0.123182
amnesty	0.11308
status	0.108715
accreditation	0.106644
license	0.10351
permit	0.103448
immunity	0.10281
membership	0.0970064
"marriage license"	0.0948484
"driver's license"	0.0946012
"food stamp"	0.0924778
privilege	0.0919042
clemency	0.091617
certification	0.0907853
licence	0.0905879
"due process"	0.089586
registration	0.0882417
parole	0.0856404
autonomy	0.0846575
freedom	0.0844057
independence	0.0840426
"legal status"	0.0837168
employment	0.0831131
identity	0.0830915
"right to vote"	0.0824963
exemption	0.082036
pardon	0.0810439
ownership	0.0808321
confidentiality	0.0806885
sovereignty	0.0792765
statehood	0.0790023
pension	0.0782278
"security clearance"	0.0778693
"medical care"	0.0778431
"identity card"	0.077717
"freedom of speech"	0.077395
protection	0.0772963
knighthood	0.0771505
self-determination	0.0768296
benefit	0.0765272
equality	0.0758668
eligibility	0.0751245
Privacy	0.0749297
diploma	0.0741102
access	0.0738912
education	0.0733396
citizen	0.072569
bail	0.0724181
recognition	0.0723447
Liberty	0.0723382
participation	0.0722745
reparation	0.0720172
custody	0.0720115
"health insurance"	0.0716988
funding	0.071643
waiver	0.0716113
immigration	0.0714348
qualification	0.0705304
scholarship	0.0691151
certificate	0.0688749
"disability benefit"	0.0685381
"financial aid"	0.0682774
national	0.0681105
Medicaid	0.0679998
"civil right"	0.067934
reinstatement	0.0676016
leniency	0.0672804
authority	0.0670153
"legal right"	0.0665936
patent	0.0663837
aid	0.0657502
compensation	0.0648183
voucher	0.0647745
morality	0.0646394
assistance	0.0645269
"birth certificate"	0.0644638
admission	0.0644344
representation	0.0643848
extradition	0.0641846
integrity	0.0640979
MFN	0.0639331
subsidy	0.0638056
democracy	0.0636976
"health care"	0.0636012
care	0.0635131
"tax break"	0.0633462
"death penalty"	0.0633231
responsibility	0.0632839
governance	0.0632539
entry	0.0629899
dignity	0.0628534
moral	0.062273
paternity	0.0622658
clearance	0.0619739
"human right"	0.0615147
legitimacy	0.061384
loyalty	0.0613467
renewal	0.0612568
disability	0.0611797
"pay raise"	0.0608762
schooling	0.0607919
authorization	0.060552
credential	0.060525
visitation	0.0598682
treatment	0.0598117
refund	0.0594661
insurance	0.0594096
fairness	0.0593683
identification	0.059353
"property right"	0.0592095
deportation	0.059206
peace	0.0588648
"retirement benefit"	0.0586676
security	0.0583322
ancestry	0.058198
forgiveness	0.0581909
relief	0.0581625
heritage	0.0578814
welfare	0.0577202
seniority	0.0571971
"freedom of religion"	0.0571624
religion	0.0570496
"civil rights"	0.0570348
constitution	0.0568862
livelihood	0.0566627
divorce	0.056383
intelligence	0.0563086
ethic	0.0562939
origin	0.0560543
justice	0.0558752
restitution	0.055863
jurisdiction	0.055856
"Bill of Rights"	0.0557416
"quality of life"	0.0555849
arbitration	0.055541
"marital status"	0.0554866
law	0.0554106
quota	0.055377
coverage	0.0553729
stability	0.0548802
acceptance	0.0547747
anonymity	0.0547712
adoption	0.0546745
"higher education"	0.0546702
patriotism	0.0545929
"human rights"	0.0545772
orientation	0.0545352
presidency	0.0543624
Openness	0.0542529
permission	0.0542237
Housing	0.054014
taxation	0.0540138
abortion	0.0538167
"wage increase"	0.0537839
reimbursement	0.0536895
approval	0.0536713
respect	0.0536594
PNTR	0.0536355
decency	0.0535755
payment	0.0534299
"trade relation"	0.0533975
"family planning"	0.0533297
financing	0.0533274
Copyright	0.0533266
card	0.0532865
unity	0.0530359
"power of attorney"	0.052907
"health benefit"	0.0527559
proficiency	0.0527239
literacy	0.0526831
punishment	0.0526157
authenticity	0.0524791
self-government	0.0524325
notification	0.0523735
fellowship	0.052337
diversity	0.0520407
"Social Security benefit"	0.0520103
listing	0.0519698
competency	0.0519201
loan	0.0518976
Consulate-General	0.0518933
existence	0.0518644
Consul-General	0.0518519
trust	0.0517552
"gun control"	0.0516466
appointment	0.0516129
"equal opportunity"	0.0515963
preference	0.0514879
accountability	0.0513112
injunction	0.0511891
"search warrant"	0.051147
leadership	0.0510757
"armed forces"	0.0510396
superiority	0.0510052
))
("citric acid" (desc 1914.4) (sims
lysine	0.139533
"black tea"	0.120123
Gypsum	0.105613
"palm oil"	0.103131
vitamin	0.0966928
"cashew nut"	0.0957234
"mineral water"	0.0930333
"fish meal"	0.0896395
ethylene	0.0888968
preservative	0.0887318
newsprint	0.0862007
"home appliance"	0.0826478
"memory chip"	0.0825233
CPO	0.0794444
phosphate	0.0792522
"Bordeaux wine"	0.078597
"sparkling wine"	0.0780897
"synthetic fiber"	0.0778881
capsaicin	0.0774365
starch	0.0770796
"frozen foods"	0.0769762
poultry	0.0734506
"consumer goods"	0.0734398
VCD	0.0733574
"food additive"	0.0732158
POTASH	0.0731759
CFCs	0.0730282
"soybean oil"	0.0720763
"household appliance"	0.0720319
"iron ore"	0.0719701
"alcoholic beverage"	0.0714872
additive	0.0710461
polypropylene	0.0706487
"California wine"	0.0702883
IC	0.0688893
lumber	0.068589
"cane sugar"	0.0685655
"specialty chemical"	0.0682403
"rare earth"	0.0680186
"building material"	0.0680026
"frozen food"	0.0677998
"solar cell"	0.0675671
pulp	0.0662757
"fruit juice"	0.0659989
"coffee bean"	0.0654788
"picture tube"	0.0651749
cocoa	0.0648332
"steel plate"	0.0646046
urea	0.0645576
"vitamin C"	0.0644659
"machine tool"	0.0644281
hGH	0.0640807
"food grain"	0.0640615
"wheat flour"	0.0638474
"maple syrup"	0.063793
polyethylene	0.0634993
tritium	0.0633405
"white pepper"	0.0632836
dram	0.0630987
jute	0.0630798
LNG	0.0630729
foodstuff	0.0626407
"canned food"	0.0625781
palladium	0.0625631
knitwear	0.0623378
semiconductor	0.0622925
dairy	0.0622596
methanol	0.0618863
"electronic equipment"	0.0618156
LPG	0.0617197
"passenger car"	0.0613691
"cooking oil"	0.0613653
mutton	0.0612794
"Nippon Credit Bank"	0.0606397
"dairy product"	0.0604152
ephedrine	0.0602627
"cayenne pepper"	0.0596311
air-conditioner	0.059345
"animal product"	0.0593417
"food product"	0.05926
wool	0.0592329
Sulphur	0.0592326
Plywood	0.0590451
jewellery	0.0587025
"corn syrup"	0.0586268
aquatics	0.0586198
"coal gas"	0.0585267
oilseed	0.0583756
"consumer electronics"	0.0582143
"household product"	0.0578237
KIMCHI	0.0573023
ephedra	0.0563921
methamphetamines	0.0560282
"apple juice"	0.0560234
cobalt	0.0559188
soybean	0.0552785
ethanol	0.054643
"color television"	0.0545756
petrochemical	0.0543916
microchip	0.0538888
"hand-held computer"	0.0538288
ceramic	0.0536947
"diesel oil"	0.0536017
"razor blade"	0.0534416
methamphetamine	0.0534203
Propulsid	0.0530075
"junk bond"	0.0528997
compressor	0.0526901
sisal	0.0526165
sugarcane	0.0525332
dioxins	0.0521357
melatonin	0.0519792
"internal organ"	0.0518869
"Lesotho Congress"	0.0518566
"five million tons"	0.0518169
flavoring	0.0518102
"washing machine"	0.0517966
stents	0.0517121
"sugar cane"	0.0516435
acetone	0.0514983
magnesium	0.0514982
talc	0.0514937
"ball bearing"	0.0513709
uranium	0.051244
"liquefied petroleum gas"	0.0511523
subcompact	0.050846
"pet food"	0.0507225
"sewing machine"	0.0504304
"fatty acid"	0.0503551
cellulose	0.0502378
telomerase	0.0502168
citrus	0.05015
rapeseed	0.0500993
detergent	0.0500932
"snack food"	0.0500756
sweetener	0.0500406
petrol	0.0500386
aromatics	0.0499511
"diesel fuel"	0.0497527
"soya bean"	0.0497367
LIPITOR	0.0492394
amphetamine	0.0490116
chromium	0.0488502
Cognac	0.0486674
"sex hormone"	0.0486417
bitumen	0.0482491
"precious stone"	0.0480434
"green tea"	0.0480252
"liquefied natural gas"	0.0475661
Avonex	0.0475509
bullion	0.0475365
VC	0.0470982
footwear	0.0467198
eel	0.0466917
gemstone	0.0461608
silicon	0.0458482
"two billion US dollars"	0.0458439
REIT	0.0458225
"fossil fuel"	0.0458214
"mainframe computer"	0.0457943
"fresh fish"	0.0457729
"orange juice"	0.045742
timepiece	0.0455902
coconut	0.0455033
INRO	0.0453289
ore	0.0453138
chloride	0.0452461
"electric power"	0.0452164
lubricant	0.0451995
tapioca	0.0451725
"penny stock"	0.0451268
"chemical agent"	0.0451087
"water heater"	0.0448599
cacao	0.0448133
"optical fiber"	0.0447487
"disk drive"	0.0446293
"coconut oil"	0.0445668
asbestos	0.044551
"wind power"	0.0443926
"communications equipment"	0.0443002
handset	0.0442658
"computer equipment"	0.0441773
"Palm VII"	0.0441679
shellfish	0.0440945
"consumer durables"	0.0440013
vodka	0.0439993
munition	0.0437782
condiment	0.0437203
"precious metal"	0.0437151
"Rolls-Royce Motor Cars"	0.0437058
"heating oil"	0.0436256
"packing material"	0.0435722
cashew	0.0435215
"computer hardware"	0.0434557
aluminium	0.0433981
olestra	0.0433437
electrode	0.0432035
barley	0.0431459
"amino acid"	0.0429793
"sea food"	0.0429576
))
(Citroen (desc 1703.68) (sims
Peugeot	0.245963
Fiat	0.183667
Audi	0.171613
Volvo	0.157263
Toyota	0.15538
Subaru	0.155082
Mercedes-Benz	0.154748
BMW	0.147526
"Mercedes Benz"	0.145307
Passat	0.137363
Skoda	0.135493
Volkswagen	0.132591
Mitsubishi	0.132313
Jetta	0.126778
Nissan	0.125999
Mazda	0.125989
Opel	0.125278
"Ford Focus"	0.124655
Daimler-Chrysler	0.120679
Chrysler	0.119923
Renault	0.117983
Acura	0.114892
Corolla	0.112863
DaimlerChrysler	0.107763
Honda	0.105353
"General Motors"	0.103333
Fujitsu	0.101974
Kia	0.0999454
Hyundai	0.099359
"Ford Motor"	0.0990198
Lexus	0.0974073
Samsung	0.0966888
Rolls-Royce	0.095476
Daimler	0.0919624
"Daimlerchrysler AG"	0.0918141
Saab	0.0912156
Suzuki	0.0908289
Infiniti	0.090587
Buick	0.0884424
Daimler-Benz	0.0874609
Porsche	0.0871713
Mercedes	0.0858943
S@@	0.0809234
Siemens	0.0802574
Isuzu	0.0802441
ABB	0.0791195
Chevrolet	0.0765426
Santana	0.0761062
Daewoo	0.0757645
"Honda Motor Co."	0.0737553
Stratus	0.0736231
"Toyota Corolla"	0.0735849
"Ford Motor Co."	0.0732655
VW	0.0718007
"Ford Motor Company"	0.0713357
Camry	0.0712747
midsize	0.0712416
Matsushita	0.0709349
Bridgestone/Firestone	0.070745
"General Motors Corp."	0.0706843
subcompact	0.070407
G.M	0.0693715
"Nissan Motor Co."	0.0692037
Prius	0.0678457
NEC	0.0665388
L'Oreal	0.066215
Westinghouse	0.0660908
Mitsui	0.0658559
"Chevrolet Monte Carlo"	0.0655491
Saturn	0.0651679
Hitachi	0.0642078
Bertelsmann	0.0632799
Kawasaki	0.0622562
Bosch	0.062161
Michelin	0.0618746
hatchback	0.0600823
Maxima	0.0600448
Lagardere	0.0598948
"Subaru Impreza"	0.0596367
Plymouth	0.0594876
"Credit Lyonnais"	0.0589105
forklift	0.0579933
Pontiacs	0.0576798
Chevys	0.0576152
DeVille	0.0575662
Dassault	0.0575297
BASF	0.0572457
"Rolls Royce"	0.0570624
Lg	0.056334
Unilever	0.0561851
"New Beetle"	0.0560669
"Shell Oil"	0.0559019
Roush	0.0556451
Penske	0.055248
Panasonic	0.0548783
Oldsmobile	0.0548676
biogas	0.0546751
Hendricks	0.0544573
Krupp	0.0543869
Nabisco	0.0537325
"compact car"	0.0536375
Philips	0.0532981
"limited edition"	0.0530872
"auto maker"	0.0529086
Proton	0.0528592
V@@	0.052544
Packard	0.0521163
Anheuser-Busch	0.0520593
Nokia	0.0513906
COSCO	0.0509149
Bridgestone	0.0509143
"Land Rover"	0.0504562
Firestone	0.0501305
"car maker"	0.050097
a@	0.0499968
Nortel	0.049546
Harley-Davidson	0.0492248
midrange	0.0490905
SP	0.0488957
McDonalds	0.0488689
"France Telecom"	0.0487303
C@@	0.0485546
"Busch Grand National"	0.0485544
"Allied Signal"	0.048286
Haier	0.0477748
NTRA	0.0476359
Budweiser	0.0473991
VISTEON	0.0473572
rover	0.0473266
"fuel cell"	0.0472724
Matchbox	0.0472309
Ericsson	0.0472274
Chevy	0.0471332
Paribas	0.0465666
ppg	0.0456812
idling	0.0456356
Cadillacs	0.0456122
GT	0.0453478
Yamaha	0.0452529
CalPERS	0.0449168
"Georgia Power"	0.0445668
"Burlington Northern"	0.0444314
wattle	0.0442246
FPL	0.043797
SEABROOK	0.0436056
Carrefour	0.0434465
bombardier	0.0433394
Bayer	0.0432864
Rockefellers	0.043198
double-decker	0.0430288
"Grand National"	0.0429955
"transit authority"	0.0427148
two-seater	0.0424753
rebuilt	0.0423567
"Range Rover"	0.0422741
Lindner	0.0422684
Georgia-Pacific	0.0420543
"Nortel Networks"	0.0420167
"Le Mans"	0.0416208
"Southern Co."	0.0414278
"small white"	0.0413493
"Louis Vuitton Cup"	0.0412524
"Nortel Networks Corp."	0.0407444
VC	0.0406946
Lockheed	0.0405372
Peretz	0.0401874
EBRD	0.0401702
VICKERS	0.0401185
"Audi A@"	0.0401156
))
(Citron (desc 1199.7) (sims
Coia	0.132707
Penders	0.0953016
Villalonga	0.091905
"La Mont"	0.0917373
Bhattarai	0.08888
Taubman	0.0869286
Talebi	0.0858981
Wetherell	0.0832047
"Jim Harrick"	0.0815018
BNFL	0.0796341
Bolger	0.0790283
Hazen	0.0778094
Napolitano	0.0774994
Gilead	0.0768335
DiCarlo	0.0755906
Fuhrman	0.0754986
Magaziner	0.0745093
Haskins	0.0731947
"Pacific Century"	0.0729023
Yadav	0.0726777
Schaeuble	0.0725616
Petrofina	0.0722376
Husseini	0.0715728
AHP	0.0715132
Kulikov	0.0710252
IDT	0.0710201
Willard	0.0706787
Warnaco	0.0705595
Seagate	0.0702499
AutoNation	0.0698232
Gosper	0.0695854
Bisek	0.069384
Ciena	0.0693025
COLTEC	0.0691841
Pairgain	0.0691001
Masur	0.0683614
GSS	0.068271
Bizimungu	0.0682402
HBOC	0.0681776
Chadwick	0.0678252
PEOPLESOFT	0.067085
"Thermo Electron"	0.0670241
Regan	0.0668523
Callaghan	0.0663709
Verney	0.0656207
AmeriTrade	0.0655838
Esser	0.0654592
Flaherty	0.0651522
Symington	0.0651254
Starwood	0.0649787
Rendell	0.0649562
Gowda	0.0644718
Allchin	0.0643771
Camacho	0.0641716
Carollo	0.0641681
Hitchens	0.0636386
Zuckerman	0.0635861
Schottenheimer	0.0633457
"Frank Joklik"	0.0631638
"Bill Skate"	0.0631025
"government minister"	0.0630696
"Tribune Co."	0.0630272
Fagan	0.0629693
Jenoff	0.0628612
VENATOR	0.0625101
Nano	0.0624529
Autodesk	0.0621624
REIT	0.0618216
RAMBUS	0.0617268
Sharansky	0.0616896
McCormick	0.0616352
Gymboree	0.0615929
AIG	0.0614547
ADM	0.0614261
Swango	0.0613914
"U.S. Trust"	0.0613652
"Marc Andreessen"	0.0611619
Nasrallah	0.0609586
Dunbar	0.0606953
Ashrawi	0.0605342
Nkomo	0.0602405
MACROMEDIA	0.0601874
Hewlett	0.0599542
Musa	0.059842
Imperatori	0.0592681
Gauthier	0.059239
McKesson	0.05909
Connell	0.0589093
RJR	0.0587584
Thayer	0.0585416
Joklik	0.0584739
ISSEL	0.0584382
Lazarenko	0.0580876
"Bora Milutinovic"	0.0580576
Fordice	0.0579693
Cendant	0.0579609
Bulog	0.0578394
Ritter	0.0577573
Andreessen	0.0577373
Fernandes	0.0577062
"Northeast Utilities"	0.0576757
Weyerhaeuser	0.0575559
Tandy	0.057475
Vulcan	0.0574739
"Lesotho Congress"	0.0574244
USEC	0.0572834
Belo	0.0572739
Tran	0.0571537
Conroy	0.0570907
"Michel Camdessus"	0.0570428
Hiett	0.0569633
DeBartolo	0.0568581
Daiwa	0.0566222
Patel	0.0566178
Natale	0.0565268
Fortier	0.0565114
Dobbs	0.0564024
Redstone	0.0563992
"Al Fayed"	0.056399
Webvan	0.0562348
Rashid	0.0561846
Georgia-Pacific	0.0561833
Zarb	0.0560978
Kumar	0.0560285
Fabius	0.0560127
Rossotti	0.0559729
Waigel	0.0559196
Icahn	0.0558805
Jorgensen	0.0558378
Hoddle	0.0557375
Szabo	0.0556956
kumquat	0.0555793
BURNHAM	0.0555588
Sponeck	0.0555402
Zuma	0.0553794
Ivester	0.0553765
Agilent	0.0552721
Vogel	0.0552666
Washburn	0.0551191
Martorano	0.0550921
McAllister	0.0548747
Mannesmann	0.0548099
"Robert E. Rubin"	0.0547552
Smirnov	0.054705
Petersen	0.0546734
REITs	0.0546139
"HBO &AMP; Co."	0.0545415
VoiceStream	0.054525
Norwest	0.0544352
Vogts	0.0544318
Healtheon/WebMD	0.0543651
CalPERS	0.0543554
"Food Lion"	0.0542119
Tsvangirai	0.0541622
Ribbeck	0.0540764
"Gillette Co."	0.0540075
Singson	0.0539207
Venables	0.0538182
"Jim Leyland"	0.0537014
Sanan	0.0536847
Aoki	0.0533569
Trie	0.0532719
Finney	0.0532664
"Renato Ruggiero"	0.0532577
Scientific-Atlanta	0.05316
Jovanovic	0.053142
Fulmer	0.0531084
SGI	0.0530998
Neff	0.0529254
"Computer Associates"	0.0529144
ALZA	0.0528983
Jelisic	0.0528632
ENTERGY	0.0527865
Finkel	0.052723
GEC	0.0526856
Hilton	0.0526587
Ponciano	0.0525894
Broderbund	0.052566
Majko	0.0524887
"Dayton Hudson"	0.052483
"Times Co."	0.0524539
Marineau	0.0524477
"Lou Dobbs"	0.0523259
Cornyn	0.0522533
Jaffe	0.0521033
Mehta	0.0521
TYCO	0.0520315
Heinrichs	0.0519922
Manley	0.0519337
Wilhelm	0.0516506
craven	0.0516506
Fiddes	0.0515008
Genzyme	0.0513134
Haley	0.0511782
Fleisher	0.0510175
VEBA	0.0510018
Cowher	0.050998
Berkshire	0.0509882
Sherrill	0.0509649
Litton	0.0509384
))
(citrus (desc 6627.3) (sims
"citrus fruit"	0.141165
melon	0.132405
barley	0.129313
banana	0.124197
lemon	0.123883
"cashew nut"	0.122388
"dairy product"	0.116941
soybean	0.11686
spice	0.116288
"sea food"	0.116264
rapeseed	0.115401
sorghum	0.114786
Orange	0.114029
vegetable	0.113354
watermelon	0.112539
mango	0.11244
Cherry	0.112368
nectarine	0.111796
fruit	0.109899
grape	0.109428
poultry	0.108837
tomato	0.108783
"wheat flour"	0.108706
cotton	0.108291
raspberry	0.107391
pineapple	0.10727
peach	0.107256
sugar	0.107053
blueberry	0.107028
legume	0.106882
sugarcane	0.105189
herb	0.104756
pear	0.103696
"orange juice"	0.102701
clove	0.102609
honey	0.101761
fig	0.101215
corn	0.100929
onion	0.100227
acidity	0.0992144
wheat	0.0988938
"dried fruit"	0.098405
pork	0.0983491
lime	0.0975546
apple	0.0970652
cucumber	0.0970447
Garlic	0.0967795
"sweet potato"	0.0965954
"cooking oil"	0.0958219
foodstuff	0.0954399
lavender	0.0953994
oregano	0.0950374
olive	0.0942281
"lemon juice"	0.0942088
avocado	0.0940479
ginger	0.0940445
"soya bean"	0.0936644
maize	0.0930333
bean	0.0925426
mutton	0.0925163
"lime juice"	0.0924937
beef	0.0923516
cereal	0.0921395
potato	0.0916909
papaya	0.091667
"palm oil"	0.0915738
"sugar cane"	0.0914519
"fruit juice"	0.0914318
Basil	0.0913597
plum	0.0910371
"fresh fish"	0.0906886
"coffee bean"	0.0894111
"vegetable oil"	0.0889178
mushroom	0.0887732
coconut	0.0887728
vinegar	0.0881359
cilantro	0.0877876
grain	0.0874199
seafood	0.0873483
apricot	0.0872556
grapefruit	0.086841
meat	0.0865139
vanilla	0.0863213
Quince	0.0862544
oilseed	0.086052
scallion	0.0854112
"orange peel"	0.085321
"powdered milk"	0.0851502
"food grain"	0.0851272
fennel	0.0848756
mint	0.0847487
"animal product"	0.084594
coffee	0.0836953
chilies	0.0836436
pea	0.0830985
nut	0.0828063
cumin	0.0826952
pepper	0.0822581
tea	0.0821825
eggplant	0.0819392
"green onion"	0.0818766
chive	0.081616
paprika	0.081323
cabbage	0.0802439
raisin	0.0799032
"sugar beet"	0.0794297
groundnut	0.0793918
"fish fillet"	0.0793476
shallot	0.079344
celery	0.0790644
cassava	0.0788782
licorice	0.0784548
"pine nut"	0.0784423
cocoa	0.078179
plantain	0.0780337
anise	0.077991
bread	0.0779771
strawberry	0.077954
soya	0.0777316
thyme	0.0774811
berry	0.0772085
lettuce	0.0771852
cinnamon	0.0771707
shrimp	0.0771696
tangerine	0.0770331
mustard	0.0765444
"lemon zest"	0.0762886
prune	0.076117
marjoram	0.0758203
squash	0.0756037
walnut	0.0754383
prosciutto	0.0753934
"soybean oil"	0.075374
milk	0.0751555
cheese	0.0747615
juice	0.0744952
Livestock	0.0741337
"olive oil"	0.0741026
chocolate	0.0734463
persimmon	0.0732057
bamboo	0.0730564
rosemary	0.0730316
peanut	0.0728546
carrot	0.0725431
almond	0.0723103
"white wine"	0.0723067
timber	0.0721582
"freshwater fish"	0.0719824
parsley	0.0718913
veggie	0.0718308
artichoke	0.0718015
"bell pepper"	0.0714965
nutmeg	0.0712924
cantaloupe	0.0710767
tobacco	0.0710021
cranberry	0.0709088
yogurt	0.0708121
beet	0.0707498
"alcoholic beverage"	0.0706611
soy	0.070574
jute	0.0705431
starch	0.0704808
"hot pepper"	0.070479
chicken	0.0703772
"Worcestershire sauce"	0.0699247
"food product"	0.0698712
wine	0.0698074
flour	0.0694331
egg	0.0694312
"bay leaf"	0.0690431
"red pepper"	0.068489
"frozen foods"	0.0684333
"orange zest"	0.0680077
Tamarind	0.0680046
perennial	0.0678938
salt	0.0675599
rubber	0.0665774
sunflower	0.0663013
dairy	0.0662975
pumpkin	0.0662898
"canned food"	0.0657876
"winter squash"	0.0653527
cayenne	0.0653053
malt	0.0648752
"sunflower seed"	0.0647158
aroma	0.0644979
marigold	0.0644746
alfalfa	0.064242
"red onion"	0.0638618
"iron ore"	0.0634971
yam	0.063228
"macadamia nut"	0.0632178
asparagus	0.0628223
"bamboo shoot"	0.062787
lentil	0.0626368
pecan	0.0624349
blackberry	0.0623797
tarragon	0.0623626
oat	0.0623026
hay	0.0622654
))
("citrus fruit" (desc 3006.53) (sims
"sugar beet"	0.15024
rapeseed	0.141322
citrus	0.141165
"cashew nut"	0.139574
"dairy product"	0.135312
grapefruit	0.130243
melon	0.129925
"grapefruit juice"	0.129733
tangerine	0.126377
poultry	0.123623
"fresh fish"	0.116779
pear	0.114718
sugarcane	0.113567
mango	0.112007
banana	0.111737
succulent	0.111657
vegetable	0.111636
oilseed	0.110641
alfalfa	0.10985
fruit	0.108656
"raw meat"	0.10711
soybean	0.104896
pineapple	0.104888
"soybean oil"	0.103838
potato	0.103011
seafood	0.10255
barley	0.102414
lemon	0.101627
grape	0.101251
sorghum	0.0989727
foodstuff	0.0973963
dairy	0.0958764
corn	0.0956523
cereal	0.0956361
pork	0.0953403
lentil	0.0947305
"passion fruit"	0.0940383
"food grain"	0.0931226
avocado	0.0924168
cauliflower	0.0916744
jute	0.0914321
sugar	0.0913983
"orange juice"	0.0905834
"green bean"	0.0904492
"cooking oil"	0.0903444
"raw vegetable"	0.0902564
Broccoli	0.0895917
pea	0.0895903
celery	0.0891229
cabbage	0.088861
beet	0.0886919
"sweet potato"	0.0885496
"palm oil"	0.0884374
watermelon	0.0883084
bean	0.0878744
"winter squash"	0.0868447
spice	0.0868039
cotton	0.086671
lettuce	0.0863004
"fish fillet"	0.085483
maize	0.0852735
tomato	0.084983
veggie	0.0844283
"vegetable oil"	0.084398
"sugar cane"	0.084382
sisal	0.0843799
papaya	0.0841455
breadcrumb	0.0840242
cocoa	0.0834105
cucumber	0.0830476
wheat	0.0826821
mushroom	0.0823758
onion	0.0823007
blueberry	0.0819933
biscuit	0.0813045
"coconut milk"	0.0811706
mutton	0.0806144
"orange zest"	0.0804494
apricot	0.0803969
"snack food"	0.0799249
tea	0.0798322
"pig iron"	0.0791061
herb	0.0786895
bread	0.0783792
"string bean"	0.0783022
"black tea"	0.0778512
cheese	0.077737
"fruit juice"	0.077494
ham	0.077375
"brussels sprout"	0.0773513
raspberry	0.0771046
sausage	0.0770998
spinach	0.0768982
"powdered milk"	0.0762663
"frozen food"	0.0761595
"sea food"	0.0757845
"Chinese cabbage"	0.0754856
coconut	0.0754466
strawberry	0.0754272
cassava	0.0753922
GUAVA	0.0751827
Cherry	0.0748498
pistachio	0.0747383
lime	0.0746542
eggplant	0.0744631
"canned food"	0.0743937
legume	0.0741286
"consumer durables"	0.0741162
"wheat flour"	0.0738302
shrimp	0.0737895
applesauce	0.0736555
radish	0.0734433
prosciutto	0.0728611
pasta	0.0725039
canola	0.072402
"white bread"	0.0722234
"milk powder"	0.0718753
"fish meal"	0.0718185
slaw	0.0716895
chocolate	0.0714212
"bamboo shoot"	0.0711726
"consumer goods"	0.0709073
"pineapple juice"	0.0707372
"green pepper"	0.0706157
"chicken stock"	0.0704155
"black bean"	0.0703105
"root vegetable"	0.0701133
Quince	0.0699334
ginger	0.0699101
noodle	0.0698136
"food product"	0.0697214
honey	0.069701
berry	0.0696426
shellfish	0.0693322
vanilla	0.0691757
Garlic	0.0686814
pumpkin	0.068255
carrot	0.0681267
squash	0.0680346
"orange peel"	0.0679205
"cane sugar"	0.0678946
low-fat	0.0678238
"lima bean"	0.0677629
plantain	0.0677501
juice	0.0676808
"pumpkin pie"	0.0673354
"soft drink"	0.0667994
persimmon	0.0667081
nut	0.0665816
zucchini	0.0664882
"California wine"	0.0662614
peach	0.06604
"sweet corn"	0.0658401
oatmeal	0.0656856
"coffee bean"	0.0655291
"olive oil"	0.0655033
yarn	0.0651138
groundnut	0.0649999
pomegranate	0.0649991
"french fries"	0.064986
salad	0.0649087
by-product	0.0648551
seaweed	0.0647029
"fava bean"	0.0644797
fig	0.064425
yam	0.0640863
molasses	0.0639679
liqueur	0.0639489
Livestock	0.0636681
aquatics	0.0635569
nectarine	0.0631522
"goat cheese"	0.0628966
okra	0.0627807
"cottage cheese"	0.0627007
rye	0.0626397
orchid	0.0626283
croissant	0.0625231
shrubbery	0.0622903
peppermint	0.0622787
cashew	0.0620195
"corned beef"	0.0619048
byproducts	0.061846
"freshwater fish"	0.0611814
"tomato sauce"	0.0610688
"lime juice"	0.0608294
muffin	0.060773
parsnip	0.0607082
cranberry	0.0606156
cantaloupe	0.0605524
"roast beef"	0.0605208
handicraft	0.0601579
wool	0.059958
"household appliance"	0.0596533
polenta	0.0596067
footwear	0.0595572
lint	0.0594638
quiche	0.0591258
"chicken sandwich"	0.0591004
"dried fruit"	0.0590693
"mineral water"	0.0588675
))
(city (desc 561459) (sims
town	0.297569
capital	0.249397
area	0.223414
province	0.220649
region	0.20259
village	0.194408
country	0.189112
state	0.183143
district	0.18155
port	0.18044
county	0.172539
"provincial capital"	0.160884
BEIJING	0.158401
suburb	0.155503
neighborhood	0.154082
nation	0.151136
Shanghai	0.150545
community	0.148545
airport	0.146665
China	0.146071
"New York City"	0.141246
municipality	0.140952
center	0.139527
south	0.138112
"Hong Kong"	0.13516
island	0.134003
north	0.13391
zone	0.133443
"New York"	0.130306
industry	0.128319
hometown	0.127246
street	0.12282
market	0.120921
company	0.120909
metropolis	0.12038
"urban area"	0.120103
LONDON	0.119954
territory	0.119662
park	0.119454
resort	0.119324
government	0.118696
"rural area"	0.118436
world	0.11816
place	0.117659
university	0.117536
"Los Angeles"	0.116731
site	0.116569
sector	0.116247
"United States"	0.115508
JERUSALEM	0.115451
Guangzhou	0.115434
Europe	0.114572
Moscow	0.11388
school	0.11367
west	0.113009
people	0.112906
building	0.111958
east	0.111205
home	0.110617
Tianjin	0.110071
economy	0.109915
valley	0.109832
Washington	0.109633
hospital	0.109021
Northeast	0.109006
Paris	0.108955
Shenzhen	0.108706
"San Francisco"	0.10756
southeast	0.107513
township	0.107364
Pristina	0.106925
resident	0.106348
prefecture	0.106149
destination	0.106074
part	0.105968
America	0.105802
"small town"	0.105563
Boston	0.10531
enterprise	0.105084
Kabul	0.104874
northwest	0.104862
Chongqing	0.104789
southwest	0.104557
Atlanta	0.104127
base	0.103579
Kosovo	0.103514
church	0.103377
house	0.102783
Grozny	0.102764
Macao	0.102711
camp	0.101983
Japan	0.101692
downtown	0.100923
bank	0.100612
Bangkok	0.100464
Mayor	0.100428
business	0.100257
Jakarta	0.0998488
Israel	0.0996189
land	0.0994614
hub	0.0982739
family	0.0980897
department	0.0978192
office	0.0977162
California	0.0976339
BELGRADE	0.0976167
countryside	0.0973936
Tokyo	0.0972655
hotel	0.0970734
"Mexico City"	0.0969321
Singapore	0.0966807
Russia	0.0963274
project	0.095971
plant	0.0959287
group	0.0958916
institution	0.0953758
stronghold	0.0952671
Hangzhou	0.0950491
agency	0.0949768
Africa	0.0949331
Wuhan	0.0948316
Chicago	0.0947497
Asia	0.0946913
Manhattan	0.0946517
border	0.094526
Beirut	0.0943152
museum	0.0938206
Istanbul	0.0937084
mountain	0.0936023
coast	0.0935815
"African country"	0.0934656
Xiamen	0.093249
factory	0.0932377
society	0.0930763
CHENGDU	0.0929583
Rome	0.0929359
Lebanon	0.0928661
Sydney	0.0928408
population	0.0926994
organization	0.0926421
Guangdong	0.0923833
farmer	0.0919429
Mexico	0.0919042
Tibet	0.0915975
Republic	0.0914055
Kinshasa	0.0910363
station	0.090557
Berlin	0.0904294
Britain	0.0903523
Tehran	0.0902514
NANJING	0.0899582
team	0.0898196
party	0.0898155
Thailand	0.0896638
SEOUL	0.0896335
Egypt	0.0894693
Houston	0.0890212
COLOMBO	0.0889951
CAIRO	0.0889544
section	0.088837
prison	0.0888148
field	0.0887041
Dalian	0.0886148
outskirt	0.088379
Havana	0.0883636
"South Africa"	0.0880074
"Guangdong Province"	0.0879339
France	0.0878532
airline	0.0877902
"local government"	0.0875456
system	0.0874584
Nairobi	0.0873964
embassy	0.0866538
Kunming	0.0866252
Germany	0.0863829
location	0.0863117
Baghdad	0.0862494
firm	0.0862126
Taiwan	0.0861999
"Tel Aviv"	0.0861994
Manila	0.0860978
Iraq	0.085757
Freetown	0.0856585
"school district"	0.0853017
facility	0.0852415
forest	0.0852338
complex	0.0852225
lake	0.085081
"city center"	0.0847318
Texas	0.0846276
Seattle	0.0845935
enclave	0.0845914
one	0.0845737
Belfast	0.0845168
stadium	0.0838828
police	0.0837744
ATHENS	0.0835664
Canada	0.0835288
"Kuala Lumpur"	0.0834268
Turkey	0.0833575
))
("City Ballet" (desc 3267.74) (sims
"New York City Ballet"	0.205215
"Ballet Theater"	0.194435
"American Ballet Theater"	0.168631
"Roundabout Theater Company"	0.0940169
"Royal Ballet"	0.0831234
"Royal Shakespeare Company"	0.0829829
Bolshoi	0.0820626
met	0.0817916
"Southern Poverty Law Center"	0.0772376
Livent	0.076902
"opera company"	0.0762508
Marketspan	0.0757165
Philharmonic	0.0744559
"Royal National Theater"	0.0741265
Massport	0.0711123
"Metropolitan Opera"	0.070103
"City Opera"	0.0687484
troupe	0.0683263
ASO	0.0672058
"Russian Space Agency"	0.0668665
"New York City Opera"	0.0661977
"ballet company"	0.0661518
Motown	0.0631767
"secret society"	0.0623568
USTA	0.0622962
"Boston Pops"	0.0619695
"Sydney Organizing Committee"	0.0616864
MTA	0.0616582
NLRB	0.0615628
roundabout	0.0609822
"Media Lab"	0.0604096
"blue angel"	0.0600177
"musical theater"	0.0595105
"American Legion"	0.0593797
Bayreuth	0.0592287
striptease	0.0590424
"Livent Inc."	0.058538
Amway	0.0584761
Kirov	0.0581932
"Relevant Knowledge"	0.0581508
VFW	0.0576166
"Lincoln Center"	0.0569583
Kimbell	0.0564921
"Electronic Frontier Foundation"	0.0562586
"Boston Symphony Orchestra"	0.0562441
C-USA	0.0561123
"Time Inc."	0.0559825
"symphony orchestra"	0.0555621
ADL	0.0552541
Spoleto	0.0552388
"New Covenant"	0.0551022
"Brooklyn Museum"	0.0549604
Paciello	0.0548659
Mensa	0.0548084
UPU	0.054656
UAB	0.0546141
"Human Rights Campaign"	0.0545685
YankeeNets	0.0544517
"New China"	0.0540576
Yaddo	0.0540325
Ellington	0.0536977
PBA	0.0533892
FSA	0.0532634
PictureTel	0.0528735
cirque	0.0525395
Ebenezer	0.0523266
"chorus line"	0.0521403
"Operation Rescue"	0.0519628
iVillage	0.0517039
Ailey	0.051642
"Lincoln Center Festival"	0.0513113
Danka	0.051284
"La Scala"	0.0512204
"Boston Symphony"	0.0511759
ATHOME	0.0510248
"Los Angeles Police Department"	0.0509412
BLM	0.050568
"modern dance"	0.0505041
Broderbund	0.0504886
Fosse	0.0504693
freeloader	0.0504526
McKesson	0.0501886
"Alcoholics Anonymous"	0.0501411
"LPGA Tour"	0.0501335
"Peking Opera"	0.0500597
"Martha Graham"	0.0500058
Marceau	0.049749
AIG	0.0497051
TDB	0.0496258
symphony	0.0494858
MFA	0.0494027
"Thermo Electron"	0.0492026
"Carter Center"	0.0490133
"United Way"	0.0489948
Messiaen	0.0488675
Pertamina	0.0487478
"German language"	0.0485932
AutoNation	0.048105
"Covent Garden"	0.0480744
PATA	0.047934
Ringling	0.0478921
"United Steelworkers"	0.0478269
FEMA	0.047723
"EMC Corp."	0.0476905
"Dow Jones &AMP; Co."	0.0476838
choir	0.047554
"Republican National Committee"	0.0473818
Nepa	0.0470794
Sunbeam	0.0470422
"Atlanta Constitution"	0.0469852
Tharp	0.0469408
"America West"	0.0465484
"Lotus Development Corp."	0.0463542
"Benny Goodman"	0.0462856
"Fish and Wildlife Service"	0.0460887
Pacifica	0.0460762
Halliburton	0.0460464
"Science City"	0.0459706
Marsalis	0.0457996
USOC	0.0457299
Wada	0.0456769
"Screen Actors Guild"	0.0455671
DEP	0.0455576
Yoakam	0.0451788
USAID	0.0451273
"New York Philharmonic"	0.0451139
"theater company"	0.0450638
trapeze	0.0450443
"Beijing Opera"	0.0449867
ACLU	0.0447574
MACROMEDIA	0.044698
"Southwestern Bell"	0.0444306
"jazz band"	0.0444
"Manhattan Theater Club"	0.0443012
SGI	0.0442113
"Sierra Club"	0.0441993
AOC	0.0441361
"Allied Pilots Association"	0.044133
guild	0.0440367
Scientology	0.0440054
SFA	0.0439608
ITF	0.0438201
EBRD	0.0436055
Mattel	0.0435465
"Home Shopping Network"	0.0435421
"George E. Pataki"	0.0434873
WIPO	0.0434804
"Lincoln Center Theater"	0.043288
"Seiji Ozawa"	0.0432684
Drexel	0.0431977
Greenpeace	0.0431612
"Modern Library"	0.0430319
"chamber orchestra"	0.0429869
UA	0.0429625
ATC	0.0429459
SEPA	0.0428537
AMC	0.0427446
"Congressional Black Caucus"	0.0427214
Healtheon/WebMD	0.0426475
ISO	0.0426009
CAAC	0.0425819
"San Francisco Museum of Modern Art"	0.0425135
ADM	0.0425066
"Defense Fund"	0.0423863
NTL	0.0422157
"Liquid Audio"	0.0420349
"garden party"	0.0420348
Robbins	0.042022
Fillmore	0.0420109
UNC	0.0419398
Archimedes	0.0418943
SmithKline	0.0417787
"Philadelphia Orchestra"	0.0417315
Humana	0.0416783
Masur	0.0415564
"District Council"	0.041512
biennial	0.041443
"Pac Bell"	0.0414321
SLOC	0.0413733
Whitney	0.0412919
WHA	0.0412648
"Manhattan Project"	0.0412585
"another @@@,@@@"	0.041149
"American Red Cross"	0.0409545
Balanchine	0.0409249
"El Al"	0.0409122
"silent movie"	0.0408993
"Pacific Lumber"	0.0408346
DirecTV	0.0407822
picketers	0.0407737
"Three hundred"	0.0406748
"Peace Corps"	0.040659
Blondie	0.0406118
Nunn	0.0406049
"P&AMP;G"	0.0405955
Medtronic	0.0405568
"Public Theater"	0.0405245
"Stride Rite"	0.0404572
"Vanguard Group"	0.0403326
sextet	0.0401757
))
("city block" (desc 1959.61) (sims
octave	0.120336
kilometre	0.115244
fifths	0.105639
"football field"	0.10134
Colosseum	0.100491
"major league season"	0.0887298
"professional life"	0.0878811
millennia	0.0876618
outbuilding	0.0848768
subgenre	0.0809188
"line of products"	0.0801477
seasons.	0.0797464
"more than @@@,@@@ hectares"	0.078673
great-grandchildren	0.0779768
"major-league team"	0.0777183
"hundred thousand"	0.0775596
"more than @@,@@@ hectares"	0.0766222
"railroad car"	0.0763513
"more than @,@@@ kilometers"	0.0753055
"parcel of land"	0.0746069
kilometer	0.0738854
takeaways	0.0734079
cellblock	0.0731726
"exhibition area"	0.0728802
years.	0.0722075
"wedding party"	0.0719327
"target area"	0.071109
tacklers	0.0709683
crewmembers	0.0708713
"human race"	0.0706651
biosphere	0.0704429
hundredth	0.069731
campsite	0.0693689
"day of rest"	0.0693007
"Appalachian Trail"	0.0691764
"silver dollar"	0.0680483
"pumping station"	0.0679656
tenths	0.0678433
cobblestone	0.0677664
"soda can"	0.0673119
corpus	0.0672854
"flight of stairs"	0.0672221
gamut	0.0669507
busload	0.0666226
"working day"	0.0663052
"fishing season"	0.0656234
"fire truck"	0.0655656
"circulatory system"	0.0655076
"traffic circle"	0.0650658
"piece of furniture"	0.0649588
"shower stall"	0.064837
"hundred miles"	0.0646586
"moving van"	0.0645174
innings.	0.0640391
Mesopotamia	0.0636801
starts.	0.0636646
"All-Star Games"	0.0636058
"wild horse"	0.0634805
"word of advice"	0.0628395
"cream puff"	0.0622405
"wine bottle"	0.0619197
centimeter	0.0613052
spacewalks	0.0612448
thousandth	0.0610572
"Pro Bowls"	0.060416
incision	0.0601571
musket	0.0601156
"business district"	0.0600608
cistern	0.0599987
"river basin"	0.0597796
"loaf of bread"	0.0596557
tractor-trailers	0.0595794
"open-air market"	0.0594171
"Four Centuries"	0.0592156
"robbery suspect"	0.0589088
cosmos	0.0586954
stanza	0.0584432
no-decisions	0.0584113
trainload	0.0575423
syllable	0.0575314
"calendar year"	0.0572249
"dinner plate"	0.056927
cantons	0.0568661
louver	0.0568444
"full page"	0.0568338
campgrounds	0.0566838
non-Social	0.0559872
dwelling	0.0559796
workday	0.0554673
"speeding ticket"	0.0554334
"three centuries"	0.0554211
"prison cell"	0.0553735
"square mile"	0.0552869
QBs	0.0552085
"square foot"	0.055134
Towns	0.0551194
"hundred million dollars"	0.0550557
"grocery bag"	0.0549678
"money changer"	0.0549493
"Final Fours"	0.054928
storefront	0.0548941
"Nearly @@@ miles"	0.0546794
superstructure	0.0545482
"hospital care"	0.054411
"geographic area"	0.0543514
"piece of music"	0.0543149
"four kilometers"	0.0541204
"Cy Young Awards"	0.0540064
"kerosene lamp"	0.0538351
"Ryder Cups"	0.0538202
"four miles"	0.0537897
nostril	0.0535832
MiG-@@s	0.0535825
"ping-pong ball"	0.0535773
"unearned run"	0.0535573
"one section"	0.0534522
"job offer"	0.0533931
"running play"	0.0533423
"city bus"	0.0533331
"base runner"	0.05323
hacienda	0.0531814
"virgin forest"	0.0529311
near-misses	0.0529259
"waiting area"	0.0528818
hotspots	0.0528091
sq.m	0.052666
"exhibition hall"	0.0526404
"basketball court"	0.0525363
"western hemisphere"	0.0523912
km	0.0522536
boatload	0.0521797
"sailing vessel"	0.0521253
"first floor"	0.0518756
"more than @@@ hectares"	0.0518061
"mountain pass"	0.0516988
bungalow	0.0516902
hemisphere	0.0515865
truckload	0.0513993
"dairy farm"	0.0513199
"service break"	0.0512748
bogie	0.0512361
"more than @,@@@ miles"	0.0511957
"telephone pole"	0.0511423
"oil refinery"	0.051045
skydiver	0.0509217
Frenchmen	0.0509147
"garbage dump"	0.0508661
haystack	0.0508591
Moby-Dick	0.0508561
"Free World"	0.0507847
hangar	0.0506996
Four-fifths	0.0506868
"trade route"	0.0505876
"polling station"	0.0505351
iteration	0.05039
"street corner"	0.0503702
"more than @,@@@ hectares"	0.0503648
"extra points"	0.0503014
par-@s	0.0502843
"office block"	0.0501892
triceps	0.050095
"breakfast table"	0.0500569
"Scandinavian country"	0.049993
"branch office"	0.0499532
Christmases	0.0497819
"more than @@ miles"	0.0497036
Frisbee	0.0496277
sketchbook	0.0493462
"supply line"	0.04931
"mobile home"	0.0492503
Palazzo	0.0491683
"three schools"	0.0490948
"Lake Okeechobee"	0.0490598
prong	0.0487769
"pitcher's mound"	0.048739
"more than @,@@@ acres"	0.0486903
bystander	0.0486847
bogy	0.0485626
consortia	0.0485292
"about four miles"	0.048506
"eye socket"	0.0484965
A@@@s	0.048477
"polling place"	0.0484494
high-rise	0.0483981
changeups	0.0483871
upperclassmen	0.0483265
"viewing audience"	0.0482885
subspecies	0.0482326
"over @@@ kilometers"	0.0482041
out.	0.0481376
feddans	0.0481023
B-@s	0.0480952
lowland	0.048029
"presidential term"	0.0479493
"trade area"	0.0478903
"About @@,@@@ hectares"	0.0478176
"railway station"	0.0478006
sub-projects	0.0477122
straightaway	0.0475035
yea	0.0473625
))
("city bus" (desc 3722.58) (sims
"commuter train"	0.12025
"school bus"	0.116706
"shuttle bus"	0.102848
"dump truck"	0.100003
Tram	0.0993814
minibuses	0.0983254
"tractor trailer"	0.0914912
trolley	0.09149
"garbage truck"	0.0888357
"fire truck"	0.0814658
"police car"	0.0795988
minibus	0.0789924
semitrailer	0.0789031
taxicab	0.0770632
"subway train"	0.076299
lorry	0.0762063
"fire engine"	0.0751859
jeep	0.0749756
Mini-bus	0.0736539
"Lincoln Town Car"	0.0735111
"freight train"	0.0709832
Motorcycle	0.0699757
snowplow	0.0694627
"bus company"	0.0694607
taxi	0.0687259
"patrol car"	0.0683555
"military vehicle"	0.0677325
limousine	0.0676636
"Ford Explorer"	0.0671052
elevator	0.0668534
motorbike	0.0668014
mini-van	0.0665103
tricycle	0.0654233
Humvees	0.0653591
"squad car"	0.0651463
Humvee	0.0650117
minivans	0.0648361
minivan	0.0646545
"telephone booth"	0.0639828
"Chevrolet Blazer"	0.0639316
mini-buses	0.0624493
subway	0.0610691
tractor	0.0606063
cab	0.0604619
"passenger train"	0.0603077
snowmobile	0.0592618
rig	0.0588508
mini-vans	0.0586553
"passenger ship"	0.058004
"Land Rover"	0.0574615
"pickup truck"	0.057398
"drinking fountain"	0.0571946
"cable car"	0.0571487
airliner	0.0569975
"pleasure boat"	0.0569828
"Ford Explorers"	0.0568101
"American plane"	0.0567044
"express train"	0.0565819
Marta	0.056478
"golf cart"	0.0556626
jeepney	0.0555803
Ambulance	0.0553918
"personnel carrier"	0.0553518
"passenger car"	0.0546164
carriage	0.0545612
"electric car"	0.0539271
"cereal box"	0.053752
"city block"	0.0533331
"Auburn University"	0.0528966
bicycle	0.0528831
escalator	0.0525798
"motor scooter"	0.0524744
"ring road"	0.0524546
wagon	0.0524273
"bus stop"	0.0523796
"race car"	0.0521318
jetliner	0.0521077
scooter	0.0515022
Steamship	0.0512265
Learjet	0.0510223
"Chevrolet Monte Carlo"	0.0507836
"army tank"	0.0506841
Cruiser	0.0505656
"bus service"	0.0501903
viaduct	0.0499188
"bus line"	0.0495379
rickshaw	0.0489628
"public transit"	0.0489585
Prius	0.0487474
Limo	0.0485134
lifeboat	0.048181
"Land Cruiser"	0.0481457
"bus driver"	0.0480584
"Airbus A@@@"	0.0478672
SUV	0.0473795
sleigh	0.0471578
DC-@@	0.0465624
"small boat"	0.0455202
"Toyota Corolla"	0.0452962
underpass	0.0451345
overpass	0.0449958
"telephone pole"	0.0449195
goalpost	0.0448721
"Airbus @@@"	0.0448176
"police van"	0.0448142
"domestic flight"	0.0447635
"Flight @@@@"	0.0445386
"ping-pong ball"	0.0445332
"Range Rover"	0.0443944
hearse	0.0443937
"railroad car"	0.0441534
Buggy	0.0441474
raft	0.044122
sled	0.0439306
broomstick	0.0438424
turnpike	0.0433157
Cadillacs	0.0431661
"Honda Accord"	0.0430176
Buss	0.0429318
"station wagon"	0.0427413
Laperriere	0.0425969
"gas line"	0.0425227
Murrell	0.0421117
"Pan Am Flight @@@"	0.0420916
busload	0.0420396
"lawn mower"	0.0420018
"bus station"	0.0419701
moped	0.0419207
Streetcar	0.0418605
rowboat	0.0417422
superhighway	0.0414747
RV	0.0414097
"golf ball"	0.0411093
"Honda Civic"	0.0410681
"EgyptAir Flight @@@"	0.0403361
"Volkswagen Beetle"	0.0403227
Mustang	0.0402649
"Long Island Rail Road"	0.0401923
caravan	0.040018
))
("city center" (desc 19605.1) (sims
"Joyce Theater"	0.133528
downtown	0.129342
"business district"	0.113437
suburb	0.096976
"Brooklyn Academy of Music"	0.092575
Belfast	0.0916143
"Film Forum"	0.0895416
Pristina	0.0895185
"New York State Theater"	0.0859797
capital	0.0845702
airport	0.0827911
"Carnegie Hall"	0.0823356
"Metropolitan Opera House"	0.0817553
"Lincoln Center"	0.0815761
neighborhood	0.0815665
COLOMBO	0.081386
Dushanbe	0.0810003
Grozny	0.0788314
"Avery Fisher Hall"	0.0772484
Kabul	0.0768787
Kinshasa	0.0767185
"Mexico City"	0.0760874
"Kennedy Center"	0.0754794
Manhattan	0.0753774
district	0.0749164
square	0.0749029
BOGOTA	0.0734942
"Times Square"	0.0733575
"Guatemala City"	0.0720898
village	0.0718903
Managua	0.0717199
"Old City"	0.0699286
"town hall"	0.0699094
Jakarta	0.069771
TIRANA	0.0697639
"Alice Tully Hall"	0.0697283
Beirut	0.0691447
"Metropolitan Opera"	0.0683135
SEOUL	0.0682914
Havana	0.0676848
"Radio City Music Hall"	0.0676363
"urban area"	0.0673004
Algiers	0.0670702
Freetown	0.0669661
CARACAS	0.0668646
BELGRADE	0.0667563
Chinatown	0.0667488
"Central Jakarta"	0.0663758
"Oklahoma City"	0.0663187
"central city"	0.0661603
stadium	0.0660626
BUCHAREST	0.065215
"Phnom Penh"	0.0652141
"Santo Domingo"	0.0649583
Midtown	0.0649567
"Grand Central Terminal"	0.0649491
"Royal National Theater"	0.0648974
Ambon	0.0641195
Lahore	0.0639625
"provincial capital"	0.0638364
township	0.0637353
"state capital"	0.0632523
Istanbul	0.0631402
"World Trade Center"	0.0630617
"Cape Town"	0.0629195
campus	0.0627641
"Fort Worth"	0.0625585
DHAKA	0.062476
"New York City"	0.0621955
Hebron	0.0621878
"Tel Aviv"	0.0620084
Quito	0.0617469
Santiago	0.0614516
Tehran	0.061362
JOHANNESBURG	0.0609283
palace	0.0608829
Rochester	0.0606771
Amman	0.0606675
KAMPALA	0.0606479
Nairobi	0.0602389
YANGON	0.060011
TALLAHASSEE	0.0599915
WARSAW	0.0596693
"Lincoln Center Festival"	0.0593489
Karachi	0.0592728
"New York City Opera"	0.0590197
Dili	0.0588467
Manila	0.0588251
"The Bronx"	0.0586948
Rome	0.058634
Moscow	0.0586163
Paris	0.0583813
Charleston	0.0582078
Srinagar	0.0582059
JERUSALEM	0.0581927
Baghdad	0.0581345
"parking lot"	0.0581262
"city hall"	0.0578499
Lhasa	0.0577783
TEGUCIGALPA	0.0577764
"French Quarter"	0.0577042
Coliseum	0.0575849
Capitol	0.0574874
"opera house"	0.057487
Sarajevo	0.0574425
Port-au-Prince	0.0574367
"Santa Fe"	0.0572792
courthouse	0.0571736
Cathedral	0.0571594
Monrovia	0.0570943
"National Theater"	0.0570567
Bujumbura	0.0567875
anchorage	0.0566918
Tanglewood	0.056666
"shopping center"	0.0564822
Ramallah	0.0563882
"inner city"	0.0563366
Burbank	0.0563151
Quetta	0.0562224
"San Salvador"	0.0561492
"Ho Chi Minh City"	0.0561468
"Madison Square Garden"	0.0560109
"Egyptian capital"	0.055973
"Kuala Lumpur"	0.0559447
harbor	0.0557861
"Staples Center"	0.0554412
Mogadishu	0.055439
mall	0.055408
HARARE	0.0553099
Lagos	0.0551433
"Tiananmen Square"	0.0550101
Durban	0.0548988
ATHENS	0.054784
Hartford	0.0545387
"San Fernando Valley"	0.0544864
Acapulco	0.0544198
"concert hall"	0.0544045
Rawalpindi	0.0540702
Bangkok	0.0540504
"Great Hall"	0.0540284
Portadown	0.0539909
"Museum of Modern Art"	0.0539576
"Buenos Aires"	0.0539131
"police station"	0.0535343
"Metro Manila"	0.0534235
"Little Havana"	0.0533401
"Gaza Strip"	0.0533273
ASHEVILLE	0.0533271
plaza	0.0532246
Albany	0.053143
centre	0.0530658
SOFIA	0.0530017
mosque	0.0529305
Harlem	0.0529058
Lima	0.052799
Buckhead	0.0525052
"Greenwich Village"	0.0524894
Suva	0.0524076
Djakovica	0.0522769
intersection	0.0522694
"Washington Heights"	0.0522379
Dublin	0.0522055
Jasper	0.0519921
Urosevac	0.0519773
KIEV	0.0519736
"Rockefeller Center"	0.051721
"suburban area"	0.051623
enclave	0.0515701
"Covent Garden"	0.051554
"Iranian capital"	0.0512845
"New York Film Festival"	0.0509723
"shopping mall"	0.0509223
Tokyo	0.0507693
"Russian capital"	0.0507303
Birmingham	0.0506901
Lyon	0.0505497
"West End"	0.0505479
Kandy	0.0505119
Jaffna	0.0504406
"La Scala"	0.0503836
"New Delhi"	0.0503631
Huntsville	0.0503571
"Key West"	0.0502333
CAIRO	0.050202
Kuito	0.0501877
"Union Square"	0.0500454
Prague	0.0499486
Jayapura	0.0499329
"train station"	0.0499251
Phoenix	0.0499115
"Public Theater"	0.0498661
PEC	0.0496974
"police headquarters"	0.0496865
Northeast	0.0496829
Bethlehem	0.049651
Berlin	0.049603
resort	0.0496008
nightclub	0.0495768
BUDAPEST	0.0494548
"Hong Kong Convention and Exhibition Center"	0.0494347
))
("City College" (desc 3081.28) (sims
"Brown University"	0.261384
"Yale university"	0.240495
"Syracuse University"	0.232975
"New York University"	0.221292
"Dartmouth College"	0.218406
"Williams College"	0.212676
"Cornell University"	0.211239
"Howard University"	0.211102
"Duke University"	0.208522
"Amherst College"	0.207398
"Princeton University"	0.205322
"Harvard Business School"	0.202645
"Hunter College"	0.200325
"Harvard College"	0.198008
"Harvard Law School"	0.196049
"Georgetown University"	0.195625
"Barnard College"	0.195551
"University of Illinois"	0.195549
"Queens College"	0.193588
"Northwestern University"	0.18808
"University of Georgia"	0.187723
"Columbia University"	0.185778
"George Washington University"	0.185147
"Harvard University"	0.184039
"University of Kansas"	0.183894
"University of Missouri"	0.181248
"Smith College"	0.181057
"University of Michigan"	0.178955
"Fordham University"	0.178746
"University of Chicago"	0.178123
"Juilliard School"	0.177576
Yale	0.176957
"Southern Methodist University"	0.176938
"University of Iowa"	0.174227
"Rutgers University"	0.171974
"Yale Law School"	0.171072
"Boston University"	0.170958
"American University"	0.169382
"Ohio State University"	0.166739
"Stanford University"	0.166704
"University of Texas"	0.165657
"Cambridge University"	0.164171
"State University of New York"	0.163454
"University of North Carolina"	0.162686
"Indiana University"	0.162441
"University of Washington"	0.161421
"University of Arizona"	0.161379
"Iowa State University"	0.161272
"Northeastern University"	0.158719
"University of Florida"	0.158588
"Vanderbilt University"	0.157461
Cornell	0.156513
"University of Utah"	0.155566
"California State University"	0.15501
Princeton	0.154662
"University of Wisconsin"	0.154465
"University of Rochester"	0.153433
"University of Massachusetts"	0.152729
"University of Dayton"	0.152688
"UC Berkeley"	0.152106
"University of Maryland"	0.151687
"University of Southern California"	0.151532
"Michigan State University"	0.151488
"University of Virginia"	0.150885
Dartmouth	0.150646
"Emory University"	0.150528
Vassar	0.150512
"Louisiana State University"	0.150454
"Washington University"	0.148843
"University of Minnesota"	0.148343
"University of South Carolina"	0.147074
"University of California"	0.145034
"Georgia State University"	0.144727
Harvard	0.143376
Juilliard	0.141744
"University of New Mexico"	0.141051
"Rice University"	0.14086
"University of Wyoming"	0.140424
"University of Colorado"	0.139256
"Cooper Union"	0.138607
"Trinity College"	0.138497
"Arizona State University"	0.13747
MIT	0.137461
"Massachusetts Institute of Technology"	0.135532
"University of Pennsylvania"	0.133777
"Johns Hopkins University"	0.132422
"naval academy"	0.132084
"University of Houston"	0.131554
"University of Pittsburgh"	0.131197
"military academy"	0.13112
"Tufts University"	0.130949
"Beijing University"	0.129494
"Texas Christian University"	0.129181
"Brigham Young University"	0.126785
"University of Mississippi"	0.124782
"Pennsylvania State University"	0.124011
"West Point"	0.122892
"University of Kentucky"	0.122346
Emory	0.12233
UMKC	0.121807
"San Francisco State University"	0.121156
"air force academy"	0.121071
"Purdue University"	0.120607
"London School of Economics"	0.120375
seminary	0.120312
"University of Tennessee"	0.12027
"Wesleyan University"	0.119104
"school of law"	0.118995
Sorbonne	0.118544
"University of Cincinnati"	0.117618
"University of Notre Dame"	0.117446
"University of Alabama"	0.116362
"Hebrew University"	0.114873
"Hofstra University"	0.112604
Brandeis	0.1123
"community college"	0.112244
"University of Toronto"	0.112051
"University of New Hampshire"	0.11075
"business school"	0.109656
"Brandeis University"	0.108512
"University of Rhode Island"	0.107157
"law school"	0.105464
"University of Oregon"	0.104777
UGA	0.104464
"Kennedy School"	0.103967
"Boston College"	0.103835
"Oxford University"	0.102117
"U.S. Naval Academy"	0.101307
"Harvard Medical School"	0.100058
NYU	0.100023
UNAM	0.0998166
"University of Oklahoma"	0.0994473
Oxford	0.0992502
"school of music"	0.0988275
"University of Arkansas"	0.0971595
"police academy"	0.0970045
"Temple University"	0.0956498
"Wright State University"	0.095327
"Qinghua University"	0.0949169
"City University of New York"	0.0945773
Stanford	0.0942576
"Wake Forest University"	0.0937311
"Texas Tech University"	0.0934303
"North Carolina State University"	0.0934234
"Seton Hall University"	0.0919778
KU	0.0915364
"Washington State University"	0.0909863
"medical school"	0.0899006
"George Mason University"	0.0882642
"Tehran University"	0.0881312
"California Institute of Technology"	0.088017
conservatory	0.0879052
"Johns Hopkins"	0.0876778
"Georgia Tech"	0.0874555
"junior high school"	0.0869265
"University of Maine"	0.0865375
"teachers college"	0.0861161
UT	0.085977
"University of Zimbabwe"	0.085875
"University of Nebraska"	0.0857054
Eton	0.0856741
"Peking University"	0.0853489
"art school"	0.0851851
"University of Miami"	0.0829277
"Colorado State University"	0.0821831
"P.S @@@"	0.0815969
"University of Hong Kong"	0.0810849
"Auburn University"	0.0801048
"Fudan University"	0.0796118
"secondary school"	0.0784942
"Mount Sinai Medical Center"	0.0774605
"Kansas State University"	0.0774479
northwestern	0.0772475
"Florida International University"	0.0769723
"University of Connecticut"	0.0763703
Georgetown	0.0761316
"city university"	0.0760371
"junior college"	0.075639
Berkeley	0.0748654
"Holy Cross"	0.0747623
Cambridge	0.0744749
"middle school"	0.0742614
"Kennedy School of Government"	0.0736025
"John F. Kennedy School of Government"	0.0732763
Radcliffe	0.072957
"Nanjing University"	0.0729234
"College of Charleston"	0.072902
"Carnegie Mellon University"	0.0727896
UW	0.0720257
"Catholic University"	0.0718673
"Rockefeller University"	0.0717974
Bu	0.0699914
"eighth grade"	0.0689936
"Baylor University"	0.0675524
"primary school"	0.0671801
"Florida State University"	0.0668063
"technical school"	0.0664543
"Catholic school"	0.066264
IU	0.0662361
"school of medicine"	0.0659975
))
("city council" (desc 21703.7) (sims
"state legislature"	0.184675
"school board"	0.180178
Council	0.174646
legislature	0.167511
Duma	0.163009
"European Parliament"	0.160872
"Board of Supervisors"	0.160252
"House of Representatives"	0.158554
"board of education"	0.155637
"National Assembly"	0.142733
"State Duma"	0.142364
"House Appropriations Committee"	0.141263
Knesset	0.139333
"board of regents"	0.137796
Senate	0.137548
"House Ways and Means Committee"	0.137282
"United Nations Security Council"	0.136799
"board of directors"	0.136426
Assembly	0.13627
"Judiciary Committee"	0.135594
Majlis	0.133145
parliament	0.13282
"Security Council"	0.129862
"Federation Council"	0.129855
"Senate Finance Committee"	0.129815
"House Judiciary Committee"	0.129787
"Russian State Duma"	0.129779
"U.N. Security Council"	0.127346
"general assembly"	0.12633
"Federal Communications Commission"	0.124088
"Palestinian Council"	0.124071
Congress	0.122546
"Lower House"	0.121752
"Senate Appropriations Committee"	0.121241
"Lok Sabha"	0.119348
"Senate Armed Services Committee"	0.118632
"finance committee"	0.117852
"legislative council"	0.117827
"legislative assembly"	0.117598
"Israeli Cabinet"	0.117526
"House of Commons"	0.11692
"Texas Legislature"	0.116583
"Senate Judiciary Committee"	0.114726
"board of trustees"	0.114152
committee	0.113066
board	0.112704
"Appropriations Committee"	0.111838
"Senate Banking Committee"	0.111292
"House Banking Committee"	0.110078
FCC	0.108496
commission	0.107629
"Los Angeles City Council"	0.107615
Mayor	0.106665
"Texas House"	0.106517
cabinet	0.106359
"Federal Trade Commission"	0.10594
"Great Hural"	0.10528
"US Senate"	0.105011
"House Commerce Committee"	0.104756
FDA	0.104709
"UN Security Council"	0.104273
"US House"	0.103547
"executive council"	0.10323
"Food and Drug Administration"	0.102746
"Ways and Means Committee"	0.101914
Bundestag	0.101221
"Senate Commerce Committee"	0.0997817
"Senate Foreign Relations Committee"	0.09978
"Texas Senate"	0.0989524
"House International Relations Committee"	0.0979506
plc	0.0978585
"high court"	0.096937
"Senate Budget Committee"	0.0961905
"Supreme Court"	0.0960741
"Banking Committee"	0.0958239
"court of appeals"	0.0953668
PUC	0.0937974
legislator	0.0936451
"appeals court"	0.0934584
panel	0.0930949
"George Pataki"	0.0930819
IOC	0.0930189
"Rules Committee"	0.0917672
"United States Senate"	0.0905832
regulator	0.0894568
"Securities and Exchange Commission"	0.0890329
"International Olympic Committee"	0.0888299
"state supreme court"	0.0885887
"European Commission"	0.0884547
"council member"	0.0883967
chamber	0.0883028
subcommittee	0.0880193
lawmaker	0.0876385
"Council of Ministers"	0.0872477
court	0.0872252
"House Budget Committee"	0.086971
"George E. Pataki"	0.0868463
"Palestine National Council"	0.0857576
"Philippine Senate"	0.0857085
"Provisional Legislative Council"	0.0855724
"standing committee"	0.0843204
"North Atlantic Council"	0.0842167
FTC	0.0838269
"planning commission"	0.0823513
"U.S. Supreme Court"	0.0821244
"Russian Parliament"	0.0819781
Commons	0.0818377
"Commerce Committee"	0.0816868
"House Government Reform Committee"	0.0816817
"Israeli Knesset"	0.0816336
"Justice Department"	0.0814634
MPR	0.0811355
SEC	0.0810358
"Public Service Commission"	0.0809474
"Palestinian Legislative Council"	0.0809195
Magistrate	0.0805546
"Scottish Parliament"	0.0803571
"federal government"	0.0793739
"governing board"	0.0790023
judge	0.0789281
"Consultative Assembly"	0.0788628
"Supreme Council"	0.0787055
"Texas Supreme Court"	0.0779974
"EU Commission"	0.0775352
"Christie Whitman"	0.0774817
PNC	0.0773817
Pataki	0.0771128
jury	0.0769686
governorship	0.0769143
"ethics committee"	0.076868
USOC	0.0766775
"U.N. Sanctions Committee"	0.0766469
FIFA	0.0766329
commissioner	0.0766023
"Upper House"	0.0765742
"Arab League"	0.0765727
regent	0.0763251
NPC	0.0762601
"PLO Executive Committee"	0.0761778
"NPC Standing Committee"	0.076086
"police department"	0.0756339
Governor	0.0754936
authority	0.0751601
Presidium	0.0751595
"Russian Duma"	0.0748337
"municipal government"	0.0747128
"Constitutional Assembly"	0.0742461
Judiciary	0.0738104
"Janet Reno"	0.0735754
"advisory board"	0.0734797
"local government"	0.0733448
"State Council"	0.0733067
UEFA	0.0728002
"Police Commission"	0.0723723
"Foreign Relations Committee"	0.0717376
"House of Lords"	0.0716796
AFL-CIO	0.0709241
"National Security Council"	0.0708784
"Congress Working Committee"	0.0708387
FAA	0.0706118
"United States Congress"	0.070363
"Palestinian National Council"	0.0701586
administration	0.0698671
"Finance Ministry"	0.0696991
"Environmental Protection Agency"	0.0696738
trustee	0.0695672
"Republican House"	0.0695242
"International Amateur Athletic Federation"	0.0694862
"Republican Congress"	0.0694427
"Republican National Committee"	0.0693864
"Executive Board"	0.0693361
"task force"	0.0691179
EPA	0.0690199
"Federal Aviation Administration"	0.06898
"Football Association"	0.0689201
"Justice Ministry"	0.0687285
"U.S. Senate"	0.0687167
"Southern Baptist Convention"	0.0683254
"General Committee"	0.0680156
Vatican	0.0677006
"Department of Justice"	0.0675833
"National Academy of Sciences"	0.0674569
"conference committee"	0.067374
KPU	0.0671562
Comptroller	0.0667793
"U.S. Olympic Committee"	0.0667677
"police chief"	0.0667559
Reno	0.0667103
ministry	0.066686
faculty	0.0663465
"Federal Reserve Board"	0.0662676
EC	0.0661266
"British Parliament"	0.0656978
"Guardians Council"	0.0656401
"Congressional Black Caucus"	0.0655084
"European Council"	0.065348
"White House"	0.0653198
"State Department"	0.0652349
FEC	0.0651902
"Clinton Administration"	0.0651076
))
("City Development" (desc 1791.85) (sims
"Creative @@"	0.357049
warrant@@	0.344105
"GE Life"	0.342148
"F&AMP;N"	0.318357
SPH	0.192283
"Singapore Press Holdings"	0.173893
"Commonwealth Bank"	0.131487
"Industrial Index"	0.12923
Westpac	0.12869
OCBC	0.12668
"Xetra Dax"	0.125122
"SPH @@@"	0.124488
Parkway	0.119711
"Carter Holt Harvey"	0.119466
"Fletcher Energy"	0.119057
"Straits Times Industrials Index"	0.118993
"Rio Tinto"	0.118717
db	0.115411
SIA	0.115366
w@@	0.113073
"Lion Nathan"	0.111774
PacCent	0.111454
"Brierley Investment"	0.108551
"Wireless Optus"	0.105241
"Contact Energy"	0.105165
"Singapore Airlines"	0.104884
"preferred shares"	0.104575
UOB	0.103549
ANZ	0.102678
"Tokyo Stock Price Index"	0.10166
"Fletcher Building"	0.101498
"Brierley Investments"	0.0998512
"Auckland Airport"	0.0991398
"Nikkei Stock Average"	0.0987437
"Asia Pacific"	0.0972236
AMP	0.0968982
"CAC @@"	0.0962986
"Straits Times Index"	0.0959741
"Fletcher Forest"	0.0901896
"Development Bank of Singapore"	0.0886764
"National Australia Bank"	0.0874187
"Hang Seng China-Affiliated Corporations Index"	0.0869101
"Composite Index"	0.0861093
"Philippine Stock Exchange Index"	0.0857069
"Weighted Price Index"	0.0856974
"FTSE @@@"	0.0827694
"Fletcher Paper"	0.0819205
Telstra	0.0807919
"Air New Zealand"	0.0803889
STI	0.0802365
"Hong Kong Telecom"	0.0787741
CRA	0.0786792
sub-index	0.0773265
WMC	0.0768294
BHP	0.0763504
"Hutchison Whampoa"	0.075733
Shangri-la	0.0747432
"News Corp"	0.0737414
Sensex	0.0715953
"Commonwealth Bank of Australia"	0.071448
"Second Board Index"	0.0699851
"pork belly"	0.0691234
Nikkei	0.0676166
"Bruton Smith"	0.0665041
"Hang Seng"	0.0658928
sub-indices	0.0647147
"Hang Seng Index"	0.0640407
"Emas Index"	0.0638985
DAX	0.0624569
FT-SE	0.0620654
"UAL Corp."	0.0597574
"Cliff Robinson"	0.0591315
CAC-@@	0.0587515
"Sky TV"	0.0560053
"Bovespa Index"	0.0559366
HSI	0.0559304
"ordinary shares"	0.0550382
"Standard Chartered"	0.0544111
"HSBC Holdings"	0.0539978
"Fletcher Forests"	0.0538852
"Hang Seng Bank"	0.0533331
"Dow Jones Industrial Average"	0.0532534
Kagwe	0.0512607
"AMR Corp."	0.0511352
"futures price"	0.0509273
Bovespa	0.0502291
STOXX	0.0487163
"Ed Roski"	0.0485037
"Micron Technology"	0.0480581
"Royal Bank of Scotland"	0.0469646
Butyrskaya	0.0464731
Barclays	0.0462044
techs	0.04581
"earning per share"	0.0457747
Merck	0.0457344
CAC	0.0455575
"wholesale price index"	0.045071
"Damian Jackson"	0.0448738
oat	0.044774
"Applied Materials"	0.0445747
Totalfina	0.0442351
"Vanguard Index @@@"	0.0434861
"factory order"	0.0434732
AstraZeneca	0.0432342
"United Technologies"	0.0430382
fineness	0.0430218
SAirGroup	0.0424772
Immunex	0.042363
Woodside	0.0422824
"Damian Miller"	0.0418773
sharemarket	0.0417994
"Gary Roberts"	0.0417438
"Geoff Sanderson"	0.0413394
"Glaxo Wellcome"	0.0407123
"Hewlett Packard"	0.0406315
Honeywell	0.0406249
"Vodafone AirTouch"	0.0405378
assessor	0.040142
Bel	0.0401094
"Eli Lilly"	0.0400726
))
("city hall" (desc 40405.1) (sims
Capitol	0.173624
courthouse	0.152108
statehouse	0.135838
"White House"	0.121197
palace	0.119943
"police headquarters"	0.112347
"police station"	0.109486
"U.S. Embassy"	0.10642
office	0.105442
headquarter	0.105297
"town hall"	0.105288
hotel	0.104619
embassy	0.103063
building	0.103039
"U.S. Capitol"	0.102473
church	0.0956915
residence	0.0952118
Cathedral	0.0935576
mosque	0.0931654
"post office"	0.0927548
Kremlin	0.0922106
airport	0.0916795
consulate	0.08799
house	0.087377
stadium	0.0858684
mansion	0.0853823
hospital	0.0852148
restaurant	0.0850022
"World Trade Center"	0.0840941
square	0.084048
Pentagon	0.0821373
hall	0.0815945
"State Department"	0.0809549
library	0.0801887
"Presidential Palace"	0.0792455
cemetery	0.0791998
museum	0.0774986
apartment	0.0768262
Basilica	0.0766711
campus	0.0762662
synagogue	0.0762169
"apartment building"	0.0760474
park	0.0756726
"fire station"	0.0752144
"Buckingham Palace"	0.0745538
"Downing Street"	0.0742613
plaza	0.0727926
"office building"	0.0726718
"opera house"	0.0722055
"train station"	0.0707784
"Justice Department"	0.0704259
"Defense Ministry"	0.0702768
"National Press Club"	0.0700809
"Times Square"	0.0699866
"community center"	0.0698394
mall	0.0693723
"Rockefeller Center"	0.0686744
school	0.0686035
courtroom	0.068363
"Great Hall"	0.0682743
"Lincoln Memorial"	0.0681773
"Madison Square Garden"	0.0679028
"Lincoln Center"	0.067503
complex	0.0675001
barrack	0.0674673
"polling station"	0.067423
parliament	0.0667811
"Union Station"	0.0667254
cafe	0.066518
gymnasium	0.0663485
"abortion clinic"	0.066342
chapel	0.0661988
Vatican	0.0660989
auditorium	0.0657133
clinic	0.0656814
"Olympic Stadium"	0.0655665
temple	0.0654737
"police department"	0.0651815
"city council"	0.0650838
morgue	0.0650077
"Tiananmen Square"	0.0648474
"foreign office"	0.0646797
"Oval Office"	0.0646154
store	0.0645839
studio	0.0642766
cafeteria	0.0642634
downtown	0.0639645
legislature	0.0638533
monument	0.0637919
street	0.0637689
station	0.0633875
theater	0.0632754
gate	0.0631205
entrance	0.0630946
shop	0.0630674
"subway station"	0.0628989
compound	0.0625476
"railway station"	0.0623598
"shopping center"	0.0622734
"Foreign Ministry"	0.0620134
memorial	0.0618928
"Capitol Hill"	0.0618696
Warehouse	0.0617552
"Chinese Embassy"	0.0613238
town	0.0612013
clubhouse	0.0610226
motel	0.0609388
dormitory	0.0608829
Ballpark	0.0605101
"Yankee Stadium"	0.0604456
inn	0.0604431
Mayor	0.0601923
classroom	0.0600639
"Orient House"	0.0599236
"Staples Center"	0.0596444
"concert hall"	0.0594262
arena	0.0592085
neighborhood	0.0590297
schoolhouse	0.0590114
village	0.0589926
"movie theater"	0.0589324
"Metropolitan Museum of Art"	0.0589185
Tower	0.0587479
barn	0.0587341
lodge	0.0585714
Washington	0.058187
Congress	0.0581729
"board of education"	0.0581335
"British Embassy"	0.0580674
court	0.0580226
ballroom	0.0579863
jail	0.05796
"city center"	0.0578499
"bus station"	0.0577174
"Shea Stadium"	0.0576029
"Interior Ministry"	0.057482
tavern	0.0574596
"Radio City Music Hall"	0.0573349
supermarket	0.0567192
Panmunjom	0.056719
factory	0.056655
BELGRADE	0.056617
garage	0.0566095
chamber	0.056561
"Dodger Stadium"	0.0565027
"department store"	0.0564382
shrine	0.0564127
district	0.0563065
prison	0.0560889
Baghdad	0.0558772
MCDONALD's	0.0557968
"Supreme Court"	0.0556694
Dome	0.0552385
terminal	0.0552361
Senate	0.0551331
"Central Park"	0.0551142
ministry	0.0551133
"row house"	0.0550272
"conference center"	0.0548907
"elementary school"	0.0548362
bookstore	0.0546956
gym	0.0545995
"shopping mall"	0.0545525
"parking lot"	0.0541565
Castle	0.0540313
Coliseum	0.0539931
Havana	0.053908
"grocery store"	0.0536546
checkpoint	0.0535705
"Russian Foreign Ministry"	0.0533979
room	0.0532759
"rose garden"	0.0531386
"main street"	0.0529991
resort	0.0529879
"public school"	0.0529665
pub	0.0527613
"high school"	0.0525654
"Justice Ministry"	0.0524442
"civic center"	0.0524099
Monastery	0.0520563
"U.S. State Department"	0.0517809
"apartment house"	0.0517493
venue	0.0517257
"emergency room"	0.0516565
university	0.0513239
agency	0.0513223
"art gallery"	0.0510686
subway	0.0510087
lobby	0.0508604
gallery	0.0505684
pier	0.0505394
"military headquarters"	0.0504297
intersection	0.0503189
"hotel room"	0.050304
"Mexico City"	0.0502488
rotunda	0.0501689
"state legislature"	0.050144
townhouse	0.0501383
depot	0.050018
Rome	0.0498971
))
("city limit" (desc 4171.74) (sims
skyline	0.0718763
"O'Hare International Airport"	0.0518003
Archdiocese	0.0495125
"city council"	0.0428755
"science museum"	0.0415438
terminus	0.0409887
))
("City Opera" (desc 1859.7) (sims
"New York City Opera"	0.22468
"Ballet Theater"	0.175526
"Public Theater"	0.136872
"Metropolitan Opera"	0.134638
"Roundabout Theater Company"	0.119601
"Royal National Theater"	0.109437
"Royal Shakespeare Company"	0.101319
"American Ballet Theater"	0.0995839
"Boston Symphony"	0.0924711
"New York Philharmonic"	0.089448
met	0.089067
"La Scala"	0.0882158
"Lincoln Center Theater"	0.0873499
Tanglewood	0.0845785
Spoleto	0.0801747
AOC	0.0756563
"Boston Symphony Orchestra"	0.073405
"City Ballet"	0.0687484
"Royal Ballet"	0.0646727
"Levi Strauss &AMP; Co."	0.0640721
USTA	0.0638221
Philharmonic	0.0626744
BSO	0.0623138
ADL	0.0619281
Kirov	0.0615059
"Carnegie Hall"	0.0608157
"Philadelphia Orchestra"	0.0607303
Kimbell	0.0598302
NHIS	0.0597468
"Covent Garden"	0.0595924
roundabout	0.0593275
"Cactus League"	0.0588167
Opry	0.0587998
Nepa	0.0578896
"Kennedy Center"	0.0567106
"National Theater"	0.0565073
"Lincoln Center"	0.0564914
"Sydney Organizing Committee"	0.0552167
"Radio City"	0.0546739
"Sundance Film Festival"	0.0544626
"opera company"	0.0532241
"Mike Nichols"	0.0528785
Bayreuth	0.0527434
"Royal Opera House"	0.0525371
"Joyce Theater"	0.0525161
"Symphony Hall"	0.0520523
aquatics	0.051604
"Peking Opera"	0.0515933
"golden rule"	0.051488
"San Francisco Museum of Modern Art"	0.0510875
"Lincoln Center Festival"	0.0509013
FSA	0.0508738
"patent office"	0.0507662
CAAC	0.0506419
"ballet company"	0.0505684
"New York Civil Liberties Union"	0.0498765
JetBlue	0.0496641
"Zoo Atlanta"	0.0492948
Pinehurst	0.049122
"Boys Ranch"	0.048722
"Barneys New York"	0.0487123
"Brooklyn Academy of Music"	0.0486742
"High Museum of Art"	0.0481836
ICA	0.0481075
"Dartmouth College"	0.0474695
"Big Dig"	0.0471301
"Studio @@"	0.0470853
OPIC	0.0467058
"German language"	0.0466532
ASO	0.0465393
"computer operation"	0.0460709
"Nature Conservancy"	0.0460697
"Miami Arena"	0.0459275
NIH	0.0454857
REI	0.0453932
GEC	0.0447862
Bolshoi	0.044398
"Brooklyn Museum"	0.0443691
"New Jersey State Police"	0.043885
NYPD	0.0437838
"Berlin Philharmonic"	0.0437552
Delacorte	0.0437012
Pemex	0.0435819
Yaddo	0.0435241
"CBS Sports"	0.0434354
Grisham	0.0433111
"Fortune Global Forum"	0.0432888
Humana	0.0431765
"ABC Sports"	0.0430742
VFW	0.0429088
"Manhattan Theater Club"	0.0428217
Bam	0.0427966
"Enron Corp."	0.0426341
"Jerry Buss"	0.0424875
"Grand Ole Opry"	0.0424851
Daigle	0.0423578
"General Motors Corp."	0.0423191
"New York City Ballet"	0.0421545
"musical theater"	0.0420056
off-Broadway	0.0419823
"International Symposium"	0.0419144
"Field Poll"	0.0418825
Nauru	0.0418474
"American Dance Festival"	0.0417156
"Beauty Queen"	0.041713
"coal gas"	0.0414622
aldermen	0.0414296
"Saks Fifth Avenue"	0.0413478
Mackey	0.0413455
"Neiman Marcus"	0.0412338
"Elia Kazan"	0.0412047
"Conde Nast"	0.0411751
"Senior Bowl"	0.040808
WSU	0.0408036
"Cannes International Film Festival"	0.0405579
Gesher	0.0404464
UTEP	0.040443
"Science City"	0.0403556
"Beijing Opera"	0.0403343
Paulie	0.0403058
Taymor	0.0402078
"Metropolitan Opera House"	0.0401439
Macworld	0.0401351
Livent	0.0400773
))
("city planning" (desc 2502.09) (sims
"urban planning"	0.207234
conservancy	0.115066
seismology	0.105814
urbanism	0.104892
"civil engineering"	0.103425
afforestation	0.0988245
forestry	0.0976482
"family planning"	0.0943927
geophysics	0.0939765
"quality control"	0.0930498
"fire control"	0.0910161
"public works"	0.0908608
notary	0.0888126
"flood control"	0.0879924
"public security"	0.0873981
"interior design"	0.0868714
aeronautics	0.08681
"social welfare"	0.085627
hydrology	0.0837812
"business development"	0.0828665
ergonomics	0.0809157
fishery	0.0805961
"population control"	0.0801333
"tax policy"	0.0795147
epidemiology	0.078698
engineering	0.0783212
DEP	0.0783144
"strategic planning"	0.0766614
nutrition	0.0765539
ophthalmology	0.0762733
conservation	0.0759896
"civil defense"	0.0759143
Comelec	0.0757666
meteorology	0.0745163
taxation	0.0740026
aviation	0.0739998
archeology	0.0734644
sanitation	0.07335
accountancy	0.0730669
"social work"	0.0710895
archaeology	0.0709984
Urology	0.0705415
logistics	0.0705097
HHS	0.0700486
SFA	0.0697444
DMV	0.0696954
"soil conservation"	0.0693797
horticulture	0.0692781
counterterrorism	0.0689203
agronomy	0.0683372
naturalization	0.0681911
BIA	0.0681532
"Internal Affairs"	0.0678092
radiology	0.066677
utilization	0.066445
"traffic control"	0.0664183
procurement	0.0663607
Toxicology	0.0663476
bioengineering	0.0657514
"land reform"	0.0653882
"weather forecasting"	0.0646729
"chemical industry"	0.0644443
"social insurance"	0.0644139
reforestation	0.0643913
EEOC	0.0641593
"mechanical engineering"	0.0639356
volunteerism	0.0638005
"social service"	0.0633703
"Department of Corrections"	0.0630586
microbiology	0.0630407
"information system"	0.0628692
"preventive medicine"	0.0627976
"product development"	0.0627879
CCF	0.0627783
alleviation	0.0627591
mapping	0.0626655
"interior decoration"	0.0623238
"arms control"	0.0622741
NRC	0.0622006
decentralization	0.061906
counterintelligence	0.0613229
geology	0.0611576
ecology	0.0609842
nursing	0.0608303
OCA	0.0607975
SDPC	0.0605933
"environmental science"	0.0605439
"development strategy"	0.0602659
mitigation	0.0602372
PSE	0.0599184
"defense policy"	0.0596232
"mental health"	0.0593503
husbandry	0.0593399
obstetrics	0.0591214
CAA	0.0590469
CAAC	0.0590439
hygiene	0.0589435
"public utility"	0.0589373
ISU	0.0587229
metallurgy	0.0581267
dermatology	0.0579966
scouting	0.0578068
genetics	0.0576996
entrepreneurship	0.05746
"human factor"	0.0573333
housekeeping	0.0573069
sociology	0.057294
FEC	0.0569815
endocrinology	0.0569196
"legal system"	0.0567947
oceanography	0.0566956
"customs service"	0.0565881
"political economy"	0.0564547
"social science"	0.0560817
"data processing"	0.0558366
"Environmental Protection"	0.0553843
macroeconomics	0.0553676
Nepa	0.0550383
consultancy	0.054936
reclamation	0.0549224
EC	0.0548388
"land development"	0.054743
astrophysics	0.0547183
"physical education"	0.0547178
urbanization	0.0544938
quarantine	0.0544464
SEPA	0.0543696
dentistry	0.0542002
"health service"	0.0540903
reemployment	0.0538992
preparedness	0.0537721
pharmacology	0.0534393
Immunology	0.05342
OSHA	0.0533953
"animal husbandry"	0.0532184
irrigation	0.0531354
excavation	0.0531227
CBO	0.0530344
bookkeeping	0.0529909
"natural resource"	0.0527562
oncology	0.0525427
merchandising	0.0524176
rectification	0.0521318
forecasting	0.0518317
"computer science"	0.0516894
"Ministry of Economy"	0.0515562
BoT	0.0514784
DS	0.0514712
"biological science"	0.0513711
PSC	0.0513047
"Health and Human Services"	0.0512609
zoning	0.0512542
"U.S. Immigration and Naturalization Service"	0.0512386
"mass transit"	0.0511429
outreach	0.05113
sufficiency	0.0510853
"comparative literature"	0.0510323
"water pollution"	0.0508909
Talmud	0.0507524
FTC	0.0507321
"Department of Environmental Protection"	0.0505873
NSC	0.0505511
"life science"	0.0504512
TAZARA	0.050346
CIRC	0.0501746
standardization	0.0500584
resettlement	0.0499752
biochemistry	0.0499671
"EU Commission"	0.0499342
"Truth Commission"	0.0497774
appraisal	0.0497615
"e- commerce"	0.0496695
INEC	0.0495996
"veterinary medicine"	0.0495853
UNAIDS	0.0495481
recruitment	0.0495101
informatics	0.0493865
"information service"	0.049363
CSC	0.0492692
designing	0.0492462
feasibility	0.0491408
"criminal law"	0.049094
Botany	0.0488461
surveying	0.0486442
SETC	0.0485765
ILO	0.0485173
"internal control"	0.0485136
cryptography	0.0484544
"political science"	0.0484284
psychiatry	0.0484084
CSA	0.0483968
"Agenda @@@@"	0.0483037
zoology	0.0482781
e-business	0.0482325
"World Vision"	0.0481645
"state highway"	0.0481327
"network programming"	0.0481247
"computer application"	0.0477775
"Park Service"	0.0476024
"central heating"	0.0473913
))
("city state" (desc 6713.67) (sims
Singapore	0.0883582
"South American nation"	0.0782814
emirate	0.073752
Sultanate	0.0724467
"South American country"	0.0704492
Kingdom	0.0696296
"Asian nation"	0.0663416
"Balkan nation"	0.064323
Pudong	0.0628694
PictureTel	0.0618015
Hainan	0.0605746
metropolis	0.0580397
Shenzhen	0.0539739
UAE	0.0537588
"electric current"	0.0532726
archipelago	0.052865
"rural area"	0.0521093
PNG	0.0519905
"Balkan country"	0.0519579
principality	0.0514776
NZ	0.0513945
Botswana	0.0499616
Tibet	0.0496812
UK	0.0496126
Mozambique	0.0494906
Bahrain	0.0487363
"waiting area"	0.0487221
"Bay Area"	0.0483557
"construction industry"	0.0477413
borough	0.0475422
Bavaria	0.0474542
Mongolia	0.0474427
Guangdong	0.0473931
Tianjin	0.0463405
Chongqing	0.046247
Ecuador	0.0461738
Namibia	0.0454935
Bulgaria	0.0454475
"trading post"	0.0451252
"urban area"	0.0450165
Shaanxi	0.0446883
Zhejiang	0.0446371
"Central Valley"	0.0443875
"El Salvador"	0.0440505
"East Asia"	0.0434159
"Free Democratic Party"	0.0430828
Armenia	0.0429331
"African nation"	0.0429201
"Central American nation"	0.042809
Oman	0.0427607
Weimar	0.0424743
Gansu	0.0423686
Kyrgyzstan	0.0421681
"Lower Saxony"	0.0420163
"Western Europe"	0.0416689
Swaziland	0.0416512
"Costa Rica"	0.0409138
Anhui	0.0408382
prefecture	0.0406673
Wuhan	0.0404023
"Silicon Valley"	0.0403203
Brunei	0.0401945
"Bay State"	0.0400306
"Guangdong Province"	0.0400001
))
("city university" (desc 962.989) (sims
"University of New Mexico"	0.175792
"University of Wisconsin"	0.156077
"New York University"	0.152404
"Syracuse University"	0.15155
"University of Hong Kong"	0.149738
"Arizona State University"	0.141812
"University of Maryland"	0.140411
"Vanderbilt University"	0.138322
"Emory University"	0.135599
"Columbia University"	0.131006
"American University"	0.130835
"Harvard Law School"	0.130716
"University of Missouri"	0.129384
"University of Southern California"	0.129162
"Kennedy School"	0.128806
"University of New Hampshire"	0.127824
"University of Utah"	0.126986
"University of Chicago"	0.126785
Juilliard	0.126374
"Harvard Business School"	0.126335
"UC Berkeley"	0.125947
"University of Iowa"	0.124708
"Northeastern University"	0.124445
"Northwestern University"	0.121252
"University of Kentucky"	0.120913
"Catholic University"	0.119541
"Hunter College"	0.119375
"Michigan State University"	0.118881
"Florida State University"	0.118807
"Kennedy School of Government"	0.118563
"Boston University"	0.117769
"University of North Carolina"	0.117555
"Rutgers University"	0.115784
"Harvard School of Public Health"	0.115372
"North Carolina State University"	0.115202
"Harvard University"	0.114756
"Rice University"	0.113798
"University of South Carolina"	0.113379
"Georgia State University"	0.113124
"Princeton University"	0.11255
NYU	0.112498
"George Washington University"	0.111543
"London School of Economics"	0.111278
"University of Rochester"	0.111241
"University of Toronto"	0.111211
"University of Texas"	0.110857
"Hofstra University"	0.11036
"Hebrew University"	0.110354
"University of Kansas"	0.110038
"Cambridge University"	0.109828
"University of Wyoming"	0.109579
"University of Minnesota"	0.10945
"University of California"	0.108451
"Iowa State University"	0.108029
"Stanford University"	0.107519
"Brown University"	0.107048
"University of Zimbabwe"	0.106911
"Brandeis University"	0.106205
"University of Illinois"	0.105816
"Georgetown University"	0.105325
"University of Maine"	0.104459
"Cornell University"	0.104062
"Furman University"	0.103506
"University of Houston"	0.103346
"College of Charleston"	0.10318
"University of Mississippi"	0.10316
"University of Florida"	0.103078
"University of Colorado"	0.101378
"State University of New York"	0.100699
"University of Miami"	0.100281
"John F. Kennedy School of Government"	0.0995453
Cornell	0.0994955
"Peking University"	0.0991362
"Johns Hopkins University"	0.0984523
"University of Georgia"	0.0983554
Lehigh	0.0982726
"California State University"	0.0970307
"Media Lab"	0.0954629
"Harvard Medical School"	0.0952023
UNAM	0.0950062
"University of Pittsburgh"	0.0949351
CUNY	0.0948855
"Duke University"	0.0945079
Yale	0.0934054
Emory	0.0926431
Vassar	0.0926124
"Pennsylvania State University"	0.0920919
"community college"	0.0919319
"Auburn University"	0.0915167
"Wake Forest University"	0.090917
"Massachusetts Institute of Technology"	0.0908543
"Yale university"	0.09064
SUNY	0.0898916
"Indiana University"	0.0892319
"Tehran University"	0.0890051
"University of Massachusetts"	0.088654
"Simon Wiesenthal Center"	0.0883273
"University of Cincinnati"	0.0870282
"Colorado State University"	0.0862744
"University of Michigan"	0.0845423
MIT	0.0841733
"Yale Law School"	0.0838492
"University of Nevada"	0.0835438
"air force academy"	0.0833938
"Baylor University"	0.0826626
"University of Notre Dame"	0.0823852
UGA	0.0822632
Princeton	0.0820251
"University of Pennsylvania"	0.0819889
"Brigham Young University"	0.0817837
"San Francisco State University"	0.0814033
"University of Dayton"	0.0813756
Dartmouth	0.0813369
"University of Tennessee"	0.0804191
"Queens College"	0.0800116
"Ohio State University"	0.0791318
"Howard University"	0.0786162
"University of Arkansas"	0.0772788
"Williams College"	0.076648
"City College"	0.0760371
"Dartmouth College"	0.0756772
"California Institute of Technology"	0.075365
"University of Connecticut"	0.0753113
"business school"	0.0745862
"National Autonomous University of Mexico"	0.0744964
"University of Alabama"	0.0744928
"Kansas State University"	0.0744225
"Rockefeller University"	0.0743401
"University of Washington"	0.0733439
UNRWA	0.073027
UMass	0.0722616
"naval academy"	0.0716027
MSF	0.0713963
"Nanjing University"	0.0711543
Wesleyan	0.0709742
"Chinese University of Hong Kong"	0.0708192
"Beijing University"	0.0705329
"Washington University"	0.070194
"Florida International University"	0.069595
"Trinity College"	0.069509
Tanglewood	0.06931
UMKC	0.0691995
Sorbonne	0.0690971
"Texas Christian University"	0.068339
"University of Arizona"	0.0679187
IU	0.0676067
"Fordham University"	0.0647345
"Party School"	0.0642413
UC	0.0640808
CSU	0.0638435
Overnite	0.0636599
"Callaway Gardens"	0.0633112
"Johns Hopkins"	0.0632258
"Barnard College"	0.0628895
"public transit"	0.0620541
"University of Virginia"	0.0609271
"Bob Jones University"	0.0608496
"Louisiana State University"	0.0605597
"U.S. Naval Academy"	0.0599237
Beida	0.0596447
"Nankai University"	0.0593315
"University of Oregon"	0.0590234
"Makerere University"	0.0589777
UW	0.0586219
"Baylor College of Medicine"	0.0582611
CalTech	0.0565663
"school of medicine"	0.0562234
"Seton Hall University"	0.0556782
"Smith College"	0.0555982
telemedicine	0.0555401
"University of Oklahoma"	0.0554927
"Carnegie Mellon University"	0.055419
DMA	0.0549204
"School of Public Health"	0.0547102
Brandeis	0.0545771
"Tufts University"	0.0535509
"Temple University"	0.0530862
VISTEON	0.0513242
"teachers college"	0.0511289
"Zhejiang University"	0.0510378
"military academy"	0.0506664
"Urban Institute"	0.0503076
"Harvard College"	0.0502275
"Qinghua University"	0.0501871
"Amherst College"	0.0499234
"Ivy League"	0.0497601
Qinghua	0.0493951
Hofstra	0.0492889
NRM	0.0491163
"Washington State University"	0.0489008
"Purdue University"	0.0488244
"technical school"	0.0487205
"Fudan University"	0.0482787
"John F. Kennedy Library"	0.0477597
Evanston	0.0475123
videophone	0.047506
Symantec	0.0469965
"vocational school"	0.0469916
ITU	0.046964
conservatory	0.0468843
))
("City University of New York" (desc 2942.34) (sims
"George Washington University"	0.235809
"American University"	0.207276
"University of Utah"	0.191751
"University of New Mexico"	0.187906
"University of Iowa"	0.185968
"State University of New York"	0.183257
"University of Illinois"	0.182864
"University of Southern California"	0.178898
"University of Chicago"	0.178088
"Duke University"	0.177698
"Fordham University"	0.177245
"California State University"	0.176507
"New York University"	0.176259
"Emory University"	0.174701
"University of Kansas"	0.171364
"Rutgers University"	0.170966
"Harvard Business School"	0.16941
"University of North Carolina"	0.165596
"University of Maryland"	0.165488
"Howard University"	0.164245
"Columbia University"	0.160727
"Rice University"	0.159929
"University of Texas"	0.158343
"University of Wisconsin"	0.157532
"Vanderbilt University"	0.154643
"University of Georgia"	0.153713
"University of Colorado"	0.152282
"Northwestern University"	0.152028
"Syracuse University"	0.150782
"Georgetown University"	0.140892
"University of California"	0.140178
"Florida International University"	0.140142
"Queens College"	0.14012
"University of Pittsburgh"	0.139392
"University of Connecticut"	0.138763
"Smith College"	0.13865
"Stanford University"	0.137729
"University of Missouri"	0.136827
"Brandeis University"	0.136035
"Harvard Law School"	0.136005
"Boston University"	0.135618
"Hebrew University"	0.135343
"Texas Christian University"	0.135267
"Brown University"	0.134771
"Georgia State University"	0.134611
"Yale university"	0.133161
"McGill University"	0.133112
"University of Oklahoma"	0.132702
"University of Washington"	0.132234
"University of Virginia"	0.132207
"University of Florida"	0.132062
"University of Arizona"	0.131469
"University of Pennsylvania"	0.130174
"University of South Carolina"	0.127603
"University of Mississippi"	0.126791
"University of Massachusetts"	0.126114
"Indiana University"	0.125031
"University of Arkansas"	0.124744
"Williams College"	0.124503
"University of Michigan"	0.124419
"Ohio State University"	0.124205
"Iowa State University"	0.123343
"Brigham Young University"	0.122845
"Johns Hopkins University"	0.122688
"Princeton University"	0.120365
"Northeastern University"	0.11927
"Dartmouth College"	0.118108
"Massachusetts Institute of Technology"	0.117929
"Hunter College"	0.117852
CUNY	0.116636
"Auburn University"	0.116353
"Southern Methodist University"	0.115985
"San Francisco State University"	0.113125
"University of New Hampshire"	0.112372
"Michigan State University"	0.111848
"Purdue University"	0.111461
"University of Toronto"	0.110677
"University of Nebraska"	0.110158
"Wake Forest University"	0.1099
NYU	0.109417
"Washington University"	0.109145
"University of Alabama"	0.107669
"California Institute of Technology"	0.107052
"Cambridge University"	0.106137
"Cornell University"	0.105568
"Trinity College"	0.105352
"Harvard University"	0.105348
"University of Notre Dame"	0.104717
"University of Rochester"	0.103476
"Chinese University of Hong Kong"	0.102893
"University of Kentucky"	0.102382
"University of Minnesota"	0.101955
"Oxford University"	0.101863
"University of Houston"	0.101078
MIT	0.0983122
"Temple University"	0.0982694
"Tufts University"	0.0975977
"University of Zimbabwe"	0.0974651
"Arizona State University"	0.09738
"Colorado State University"	0.0971003
"Barnard College"	0.0964405
"George Mason University"	0.0957563
"University of Miami"	0.0954518
Cornell	0.0952691
Emory	0.0948374
"City College"	0.0945773
"Catholic University"	0.0939918
UGA	0.0933964
"Amherst College"	0.0933633
"Louisiana State University"	0.0932504
"Kansas State University"	0.0919095
UMKC	0.0915484
"University of Cincinnati"	0.0915037
"Kennedy School"	0.0912727
"Pennsylvania State University"	0.0896948
"North Carolina State University"	0.089402
"Harvard Medical School"	0.0879315
"school of law"	0.0865907
"Yale Law School"	0.0847643
"Hofstra University"	0.0843179
Yale	0.0842808
"Wharton School"	0.0839942
"University of Dayton"	0.0837125
"school of medicine"	0.0834346
"London School of Economics"	0.082793
"Baylor University"	0.0821149
"Washington State University"	0.0815052
"Wright State University"	0.080378
"Juilliard School"	0.0797882
"Tehran University"	0.0795948
Rutgers	0.0792631
"community college"	0.0791362
"Florida State University"	0.0787852
"John F. Kennedy School of Government"	0.0786335
Dartmouth	0.0785916
Princeton	0.0782991
Brandeis	0.0777632
"College of Charleston"	0.0772031
"UC Berkeley"	0.0771785
UT	0.0767163
"Nanjing University"	0.0761885
Berkeley	0.0743657
"New York City schools"	0.0737756
"University of Hawaii"	0.0732479
"Cooper Union"	0.0730366
"Baylor College of Medicine"	0.072625
"Boston College"	0.071187
"Wesleyan University"	0.070329
SUNY	0.0703264
"Peking University"	0.0701064
"University of Hong Kong"	0.0699454
"business school"	0.06913
"University of Tennessee"	0.0689021
"Harvard School of Public Health"	0.0682481
"Qinghua University"	0.0679724
exchequer	0.0677601
Fordham	0.0671182
"National Autonomous University of Mexico"	0.0648868
"Beijing University"	0.0647788
"University of Oregon"	0.0644824
"Johns Hopkins"	0.0644778
"Fudan University"	0.0638733
"Kennedy School of Government"	0.0632174
Vassar	0.0617353
"Graduate School of Business"	0.0610462
UCSF	0.0600442
"Texas Tech University"	0.0594725
Oxford	0.0594629
"Media Lab"	0.0594335
seminary	0.0585152
"medical school"	0.0582361
"Carnegie Mellon University"	0.0573352
"University of Rhode Island"	0.0553121
"University of Maine"	0.0549568
"Cendant Corp."	0.0546968
"Seton Hall University"	0.0545173
"law school"	0.0542058
"Furman University"	0.0538514
"board of regents"	0.0535952
"Times Co."	0.0533735
"Makerere University"	0.0527536
"M University"	0.0522402
"West Point"	0.0521737
"teachers college"	0.052035
"National Autonomous University"	0.0519152
Sorbonne	0.0511413
Bu	0.0510054
tuft	0.0508819
"Stony Brook"	0.05077
NRM	0.0507463
Juilliard	0.0507421
UC	0.0501607
"Ivy League"	0.0492981
criminology	0.048736
CSU	0.0482129
KU	0.0481289
"Carter Center"	0.0478837
"Whitney Museum of American Art"	0.047367
"University of Wyoming"	0.0470375
UA	0.0470168
))
(cityscape (desc 1507.35) (sims
skyline	0.0939668
Brasserie	0.0868296
cityscapes	0.0765574
"house of cards"	0.0635826
Steinway	0.0599391
"German capital"	0.0587945
"rooming house"	0.051653
paradigm	0.051471
"language school"	0.0512679
"art dealer"	0.0504484
abattoir	0.0495269
"Parent Trap"	0.0494759
recitative	0.0492976
"postmaster general"	0.0489398
"gas plant"	0.0487984
"baseball glove"	0.048243
upland	0.0482231
cabbie	0.0480934
"religious movement"	0.0480147
"nearly $@"	0.0478146
livery	0.0473294
"frame of mind"	0.0471624
"street sign"	0.0467569
swashbuckler	0.0466314
taxiway	0.0463697
epoch	0.0458428
decorator	0.045711
cornucopia	0.0455978
"Fallon McElligott"	0.0455253
"pinball machine"	0.0449137
"Homo sapiens"	0.0448531
psychoanalyst	0.0446484
"concert hall"	0.0446444
"Land Cruiser"	0.0446358
demimonde	0.0445743
"cast of characters"	0.0444642
"police lieutenant"	0.0442007
"domed stadium"	0.0439737
getup	0.0439723
EPR	0.0439632
Cadillacs	0.0436299
"suspension bridge"	0.0434977
edifice	0.0434801
updating	0.0430398
nightlife	0.0429924
clothes	0.042788
"particle accelerator"	0.0427404
moat	0.0426789
airship	0.0426343
"repertory company"	0.0421499
"Jim Harrick"	0.0417928
topography	0.0417132
seascape	0.0415726
dispersion	0.0413072
socialite	0.0409158
"Miller Park"	0.0408215
"ranch house"	0.0405305
"drama critic"	0.0405259
"stage set"	0.0403633
agro-techniques	0.0402375
ethos	0.0402073
))
(cityscapes (desc 1571.92) (sims
seascape	0.095263
cityscape	0.0765574
"Eastern District"	0.064369
"Greek Revival"	0.0619032
skyline	0.0578139
"Susan Molinari"	0.0574921
"Nile Delta"	0.0565958
"Lijiang River"	0.0554162
dachshund	0.055154
Trieste	0.0524381
teacup	0.050721
"railroad line"	0.04971
metropolises	0.049024
"electronic database"	0.0484398
"telephone book"	0.0484184
"George E. Pataki"	0.045756
"Grand Hotel"	0.0457225
"architectural style"	0.0450156
"Forbidden City"	0.0445222
breadbasket	0.0437741
diorama	0.0435196
"Carolyn Maloney"	0.0431111
"Nita Lowey"	0.0428674
"mushroom cloud"	0.0427512
"Amo Houghton"	0.0425906
"Michael Forbes"	0.0414687
upland	0.0414207
"car park"	0.0414119
fief	0.0412461
fishbowl	0.0411068
cupola	0.0409606
"suburban area"	0.0408785
blob	0.0406733
"Charles Rangel"	0.0406715
vice-mayor	0.0405017
"Jack Quinn"	0.0404679
self-portraits	0.0404206
"line drawing"	0.0401169
))
(CitySearch (desc 1008.43) (sims
"Global Crossing Ltd."	0.151703
"Bell Atlantic Corp."	0.131802
Healtheon	0.116037
"U S West Inc."	0.11047
Expedia	0.105533
DoubleClick	0.105498
DoCoMo	0.105129
MCI	0.10347
"Frontier Corp."	0.102291
ATHOME	0.101141
"Travelers Group"	0.100028
Vodafone	0.0974539
ENTREMED	0.0974472
McKesson	0.0963652
"SBC Communications"	0.095581
WorldCom	0.0925851
"U S West"	0.092576
Qwest	0.0918083
"Global Crossing"	0.087698
"Ameritech Corp."	0.0873449
"True North"	0.0867951
"HBO &AMP; Co."	0.0866874
WebMD	0.0866261
"Telecom Italia"	0.0864971
GTE	0.0861355
Airtouch	0.0860382
Echostar	0.0859811
"Daimler-Benz AG"	0.0859415
TiVo	0.0845103
EarthLink	0.084162
"Citigroup Inc."	0.0828483
emachines	0.0823291
iTV	0.0820803
"Deutsche Telekom"	0.0816934
AHP	0.0816346
Citicorp	0.0807757
BellSouth	0.080684
YPF	0.0806521
Monsanto	0.0796349
"GTE Corp."	0.0796347
CMGI	0.0795059
Broadcast.com	0.0793166
iVillage	0.07844
Netcenter	0.0783
Ameritech	0.0782293
GeoCities	0.078026
Viacom	0.0778636
Seagate	0.0774942
Transmeta	0.077177
PEOPLESOFT	0.0768329
Comcast	0.0768314
Zeneca	0.0765446
Lycos	0.0760412
"American Home Products"	0.0757286
Vivendi	0.0754225
Amoco	0.0742176
Honeywell	0.0733611
Genentech	0.0731767
Omnipoint	0.0729623
ALZA	0.0725712
"Pacific Century Cyberworks"	0.072311
Olivetti	0.0722231
"US West"	0.0718615
"Airtouch Communications"	0.0717919
SMI	0.0715117
"data communication"	0.0714761
TCI	0.0714559
"UAL Corp."	0.071375
"Tribune Co."	0.0711266
"McDonnell Douglas"	0.0704796
Nextel	0.0704131
"SBC Communications Inc."	0.0701121
Verizon	0.0699054
Quokka	0.0699032
Comsat	0.0698439
"Mannesmann AG"	0.0695376
Schlumberger	0.068989
Publicis	0.0689035
MindSpring	0.0688053
Telebras	0.068427
"Learning Co."	0.0682119
MSN	0.0681955
Telekom	0.0675694
"Enron Corp."	0.0674556
"America Online Inc."	0.0674381
"Relevant Knowledge"	0.0674181
"British Aerospace"	0.0674116
UAL	0.0673008
MarketWatch.com	0.0672107
ICQ	0.0671643
"Halliburton Co."	0.0670329
Aventis	0.0669285
Checkfree	0.0662021
Starwood	0.0661718
AMR	0.0661582
Telefonica	0.0658871
"Pacific Bell"	0.0655074
Warner-Lambert	0.0652577
"Pitney Bowes"	0.0650185
"IMS Health"	0.0649737
SBC	0.0649685
"Exxon Corp."	0.0647008
"Southwestern Bell"	0.0646111
"Network Associates"	0.0642536
SFX	0.0641846
"Monsanto Co."	0.0641074
Priceline	0.0639416
Novartis	0.0636028
Cargill	0.0633375
Mobil	0.0629615
"MCI Worldcom Inc."	0.0627908
"Burlington Northern"	0.0627696
"USA Networks"	0.0626943
"CMGI Inc."	0.0626087
"London Stock Exchange"	0.0625069
"Health and Welfare Ministry"	0.0623309
"France Telecom"	0.0622786
"Delphi Automotive Systems"	0.0622647
GANNETT	0.0622459
"Craig McCaw"	0.0621112
"Main Events"	0.0620846
NASD	0.0618706
VICKERS	0.0616987
Emulex	0.0615558
"Canadian Airlines"	0.0609031
BASF	0.0607271
"Cox Communications"	0.0606599
"Computer Associates"	0.0606076
"MCI WorldCom"	0.0604763
"Lycos Inc."	0.0604607
Lockheed	0.0604285
"T Corp."	0.0601913
E-LOAN	0.0601527
"Gannett Co."	0.0601353
Deutsche	0.0600669
CNNfn	0.0598272
DirecTV	0.0598232
Teledesic	0.0597107
Albertson's	0.0596289
Nortel	0.0596279
ENTERGY	0.0595241
"MindSpring Enterprises"	0.0594344
"Salomon Brothers"	0.0592751
"fire escape"	0.0588567
"China Telecom"	0.0587884
CNET	0.0587395
Fremont	0.0586982
"Vanguard Group"	0.05865
Conoco	0.0586439
"PC Data"	0.0584688
"Adobe Systems"	0.0581686
China.com	0.0581428
Italia	0.0581127
"Abbott Laboratories"	0.0580808
RJR	0.0579999
Webvan	0.0579899
Bertelsmann	0.0579887
WAP	0.0579207
"Kaiser Permanente"	0.0578085
"Advanced Micro"	0.0574971
"MCI Communications Corp."	0.0574891
Win@@	0.0573165
"Koch Industries"	0.0572016
"Orange PLC"	0.05718
Furniture.com	0.0571708
PATHFINDER	0.057114
"Nippon Telegraph"	0.0570671
Gymboree	0.0569076
Hasbro	0.0568247
"Australian Olympic Committee"	0.0567932
Gnutella	0.0567613
BUSINESSES	0.0565969
Nomura	0.0563864
"T Wireless"	0.0563314
TIAA-CREF	0.056307
Akamai	0.0562898
"US Airways"	0.0561881
BNFL	0.0560435
Paribas	0.0559047
"Glaxo Wellcome"	0.0558573
Polaroid	0.0557868
ExciteAtHome	0.0557096
MACROMEDIA	0.0555292
"Bell South"	0.0554851
"Media Metrix"	0.0552324
"finance company"	0.0551804
SGI	0.0551079
Iomega	0.055029
IDC	0.0548203
"Frederick Law Olmsted"	0.0547737
"American Home"	0.0546995
Mondavi	0.0546826
"Softbank Corp."	0.0544248
"Los Angeles Daily News"	0.0544204
Britannica	0.0543363
"Silicon Graphics"	0.0542748
Merrill	0.0541947
EMC	0.0541892
"Allied Signal"	0.0541337
"Boeing Co."	0.05403
))
(CityWalk (desc 1281.12) (sims
"Grand Central"	0.0767534
nightlife	0.07636
dang	0.0735461
"Sea World"	0.0704508
Kitgum	0.0686474
"San Fernando"	0.0685536
Batticaloa	0.0680548
Trincomalee	0.0640646
"Disney World"	0.0622489
Vedeno	0.0616884
Bundibugyo	0.0594676
"First Avenue"	0.0591239
Mbale	0.0591022
Newsome	0.0567867
"French Quarter"	0.0565058
Arua	0.0563116
Soma	0.055764
Rajshahi	0.0556128
"Notting Hill"	0.0554345
Kasese	0.0553067
Peachtree	0.0551816
Sylhet	0.0543939
Mbarara	0.053931
Shali	0.0536077
"first school"	0.0530123
"Central Park West"	0.0528592
Larnaca	0.0526727
wharf	0.0516099
Gulu	0.051563
Buckhead	0.0515297
"Lexington Avenue"	0.0513706
"Mandalay Bay"	0.0509784
Bazar	0.0508248
"San Pedro"	0.050326
Khulna	0.0496688
"Old Town"	0.0496399
Karan	0.0493492
thana	0.0492572
Kailahun	0.0479972
Stormont	0.0479063
tapa	0.0476725
Tribeca	0.0470751
"Paradise Valley"	0.0469824
Graceland	0.0469663
K-@	0.0468786
Urus-Martan	0.0467492
"Covent Garden"	0.0467082
Sebaggala	0.0466219
glitzy	0.0465586
McDonalds	0.0463265
"Miller Park"	0.0460298
Waterford	0.045922
"Second Avenue"	0.0458423
"Meet Joe Black"	0.0456897
Burbank	0.0456013
"Rainbow Room"	0.0454189
Galleria	0.0452746
coaster	0.0448703
Chattahoochee	0.0445812
"Get Real"	0.044341
lira	0.0442506
"Eighth Avenue"	0.0440018
"Pudong International Airport"	0.0438497
Bowfinger	0.0436354
NSA	0.0432409
"Lei Feng"	0.043145
Kono	0.0430749
"Oak Ridge"	0.0429964
"Yucatan Peninsula"	0.0426386
EdTV	0.0425765
"Universal Studios"	0.0425289
"Century City"	0.04251
Metreon	0.0423804
Paphos	0.041713
Photoshop	0.0413421
Palmdale	0.0412964
KLIA	0.0411983
conservatory	0.0411583
Fillmore	0.040885
Cineplex	0.0406861
"ski jump"	0.0406611
Kenema	0.0406345
"East Bay"	0.0404304
Gudermes	0.0403401
"piggy bank"	0.0400687
"West Berlin"	0.0400508
))
("Ciudad Juarez" (desc 2257.2) (sims
Juarez	0.226617
"Nuevo Laredo"	0.221912
Matamoros	0.162848
Guadalajara	0.159495
Laredo	0.156326
Ensenada	0.153507
Tijuana	0.142029
Brownsville	0.138684
Acapulco	0.131608
Nogales	0.121077
"Del Rio"	0.115437
Jalalabad	0.114981
Cozumel	0.114619
Veracruz	0.113758
"East Orange"	0.112584
Lhokseumawe	0.111062
Trieste	0.109806
CANCUN	0.109264
Monterrey	0.109156
"San Pedro Sula"	0.108824
Nago	0.108514
Merida	0.107116
McAllen	0.106165
"El Paso"	0.105726
Puebla	0.104689
Gudermes	0.104327
Oaxaca	0.101387
hermosillo	0.101202
Posoltega	0.0993114
Matadi	0.0990414
Izmit	0.0982811
Aachen	0.095903
"Garden City"	0.095778
Camden	0.0957091
"Cherry Hill"	0.0957043
Toluca	0.0957005
Vladivostok	0.0954243
Hyderabad	0.0950389
"Saratoga Springs"	0.0940802
Casas	0.0940168
Hillsboro	0.0935673
Londonderry	0.0932931
Clifton	0.0925524
Sevastopol	0.091588
BASEL	0.0915236
Sihanoukville	0.0914765
Najaf	0.091113
Diyarbakir	0.0910389
Makhachkala	0.0897171
LAKEWOOD	0.0889647
Kizlyar	0.0886444
Urosevac	0.0880993
Vukovar	0.0879849
Medellin	0.0877572
"Puerto Vallarta"	0.0873626
Youngstown	0.0871085
"Port Elizabeth"	0.0870859
Christchurch	0.0861487
Woodbridge	0.0860911
NIS	0.0860531
Sidon	0.0857693
Gnjilane	0.0857337
Bayonne	0.085623
Yonkers	0.0852965
Eureka	0.0851411
"High Point"	0.0847029
Murmansk	0.0846501
"Great Neck"	0.0845196
"Santo Domingo"	0.0837568
Tapachula	0.0826554
Gdansk	0.0826395
Morristown	0.082319
Weimar	0.0822531
"San Cristobal"	0.0822348
Ithaca	0.0815086
Ashkelon	0.0814291
Peshawar	0.0813597
Utica	0.0813313
Krakow	0.0812824
Carmel	0.0811755
Englewood	0.0811194
Wildwood	0.0808658
Kuito	0.0803874
Guanajuato	0.0800591
Anshan	0.0797526
Guayaquil	0.0790702
Manado	0.079065
"Round Rock"	0.0788923
Somerville	0.0788497
Vladikavkaz	0.0784345
Malaga	0.0783189
Cacak	0.0782177
Cali	0.0778346
"Sao Paulo"	0.0778257
Goteborg	0.0778253
Winston-Salem	0.0775693
Weifang	0.0774995
Novosibirsk	0.0774978
"La Paz"	0.0774823
Karbala	0.077339
Marjayoun	0.0773367
Khabarovsk	0.0773094
Bulawayo	0.0772305
Haifa	0.0770826
"New Canaan"	0.077004
Dushanbe	0.076869
chihuahua	0.0768528
Gulu	0.0767489
Pereira	0.0767175
Sonora	0.0766521
Taba	0.0756091
Herat	0.0756078
Westfield	0.0749744
Prizren	0.0748586
Chamonix	0.0747205
Bloomfield	0.0746916
"Guatemala City"	0.0745911
Taloqan	0.0745318
Izmir	0.0743994
Port-au-Prince	0.0739764
Bamiyan	0.0739577
Zamboanga	0.0739232
"Palm Beach Gardens"	0.073763
"New Rochelle"	0.0737301
Watertown	0.0736268
Lucknow	0.0736158
Basra	0.0734657
Odessa	0.073381
Golmud	0.0732459
Chatham	0.0732278
Catania	0.073105
Orahovac	0.073039
Buckhead	0.0722907
"Santa Ana"	0.0722593
Pittsfield	0.0722146
"Chapel Hill"	0.0720543
"Union City"	0.0718617
TEGUCIGALPA	0.0717746
Rawalpindi	0.0717392
Tarrytown	0.0715279
Peekskill	0.0712984
Montclair	0.0712095
Urus-Martan	0.0711903
Jalisco	0.0709067
Schenectady	0.0708211
"Manhattan Beach"	0.0706791
Beersheba	0.070666
"El Segundo"	0.0704089
"Santa Rosa"	0.0703367
Spokane	0.0702119
Lubbock	0.0701821
Cochabamba	0.0700503
BOGOTA	0.069907
Liuzhou	0.0697783
Claremont	0.0697601
Mosul	0.069675
Monterey	0.0696393
"San Carlos"	0.0696035
"Ho Chi Minh City"	0.0693879
Suva	0.0692355
"San Sebastian"	0.0690565
Baalbek	0.0688302
Durango	0.0688159
"West Hollywood"	0.0687835
Glendale	0.0686267
Cebu	0.0683763
Darien	0.0681385
"CHIANG MAI"	0.068115
Multan	0.0679694
"Overland Park"	0.0679502
Paterson	0.0679148
Jaffna	0.0678899
Aberdeen	0.0678109
Atambua	0.067782
Bangor	0.0677648
Sochi	0.0677127
"White Plains"	0.0675788
Kandy	0.0675737
Goma	0.0674955
Davao	0.0674761
Leipzig	0.0674707
"Port Arthur"	0.0673391
Zhangzhou	0.067307
Hamburg	0.0672626
Djakovica	0.0671538
Rafah	0.0670663
Shiraz	0.0668991
Makeni	0.0666832
"San Rafael"	0.066633
Fairfield	0.0665187
Brentwood	0.0664745
Lawrenceville	0.0661727
Scarsdale	0.0660756
Rangoon	0.0660507
"Banja Luka"	0.0660246
Salvador	0.0659969
Brunswick	0.0658706
Fremont	0.0658166
Greenville	0.0658114
Saida	0.0655147
))
("Civic Arena" (desc 1691.32) (sims
"America West Arena"	0.145125
"Nassau Coliseum"	0.141615
Metrodome	0.131171
"Lambeau Field"	0.124231
"Giants Stadium"	0.118239
"Compaq Center"	0.110585
KeyArena	0.106724
"Pac Bell Park"	0.104972
"Continental Arena"	0.104801
"Tokyo Dome"	0.100184
Coliseum	0.0966573
"Oakland Coliseum"	0.094771
"RFK Stadium"	0.0943067
"Texas Stadium"	0.0937598
"Soldier Field"	0.0931059
"Foxboro Stadium"	0.0915538
"Kyle Field"	0.0914021
"Arrowhead Stadium"	0.0905142
skybox	0.0884315
"Reunion Arena"	0.0878313
"United Center"	0.0877608
"Comiskey Park"	0.0877217
"RCA Dome"	0.0866345
"Candlestick Park"	0.0865913
"Rivers Stadium"	0.0847086
"Turner Field"	0.0833768
"Fleet Center"	0.0818175
"Miami Arena"	0.0809765
"Jacobs Field"	0.0794513
Meadowlands	0.0778907
"Devil Stadium"	0.0769073
Omni	0.0764692
"Delta Center"	0.0745848
"Maple Leaf Gardens"	0.0744541
"Jack Kent Cooke Stadium"	0.0733767
"Dodger Stadium"	0.0727486
"Veterans Stadium"	0.0726808
Astrodome	0.0719328
"Ebbets Field"	0.0712451
"Continental Airlines Arena"	0.0703423
"sports arena"	0.0700841
"Convention Center"	0.0700828
FleetCenter	0.0699386
"Georgia Dome"	0.0696663
"Fenway Park"	0.0690991
"Busch Stadium"	0.0690538
"Qualcomm Stadium"	0.0685067
"Conseco Fieldhouse"	0.0668961
"Sanford Stadium"	0.0667711
Wrigley	0.0665938
Shea	0.066419
"Pacific Bell Park"	0.0659418
"Olympic Stadium"	0.0652767
"Polo Grounds"	0.0650411
"Cinergy Field"	0.0640403
"First Union Center"	0.0640223
"Orange Bowl"	0.0635251
"Stamford Bridge"	0.0633037
"Camden Yards"	0.0631512
Auger	0.0631384
Wembley	0.0623341
"West Ham"	0.0620787
"Rose Bowl"	0.0617833
Kingdome	0.0607766
"Boston Garden"	0.0598341
Belfry	0.0594348
"Tiger Stadium"	0.0591594
"Safeco Field"	0.0588461
"Memorial Stadium"	0.0586801
longterm	0.0585602
"Shea Stadium"	0.0580627
"Kiel Center"	0.0579319
"Pauley Pavilion"	0.0576428
"Loch Lomond"	0.0575846
"Barcelona Games"	0.057106
"Memorial Tournament"	0.0566603
"Wrigley Field"	0.0566324
Foxboro	0.0559405
Pir	0.0559173
"Trans World Dome"	0.0551739
"Tropicana Field"	0.0548433
Valhalla	0.0544344
"Mile High Stadium"	0.0543873
"right of way"	0.0540458
"Coors Field"	0.0539683
"deposit box"	0.0513617
"trust account"	0.0512293
"Radio City"	0.0509006
Hanford	0.0508446
"Indian Wells"	0.0507547
"two year"	0.050654
"about @@@,@@@ acres"	0.0500419
"Wembley Stadium"	0.0497762
"subsidiary company"	0.049715
"Philips Arena"	0.0496549
"County Stadium"	0.0496097
Igloo	0.0495189
"Lincoln Center Festival"	0.0494489
"Pro Player Stadium"	0.0491773
"Great Western Forum"	0.0485405
Tanglewood	0.0483177
Alamodome	0.04792
"gambling casino"	0.0477852
"Enron Field"	0.0477822
"Marine Midland Arena"	0.0464547
Pinehurst	0.0462767
"Hollywood Park"	0.0460406
"Pikes Peak"	0.045891
Churchill	0.0456544
"Roland Garros"	0.0452788
"Kai Tak Airport"	0.0451463
"Stade de France"	0.0450871
DC-@s	0.04477
"Joe Louis Arena"	0.0446868
"Pleasant Valley"	0.0446529
"Apollo Theater"	0.0445213
"Gulfstream Park"	0.0443877
forklifts	0.0443278
"ball club"	0.044179
Pocono	0.0441132
sawmill	0.0440651
"slush fund"	0.0440588
Dodgertown	0.0439457
"Melbourne Cricket Ground"	0.0437679
Eastbourne	0.0435377
"slide rule"	0.04348
frontage	0.0432817
"Sahalee Country Club"	0.0432022
Staples	0.0431996
ensign	0.0430635
cost-conscious	0.0428308
"Pepsi Center"	0.0428039
fairground	0.0425383
"weather satellite"	0.042396
Riviera	0.0423887
Ecuadorian	0.0423153
turboprop	0.0423114
Anfield	0.0423075
Meciar	0.0422592
"Film Forum"	0.0422492
snowplow	0.0422406
"Comerica Park"	0.0421328
"Ian Wright"	0.0419377
Medinah	0.0419343
"Louisiana State"	0.0419249
"Pan Am Games"	0.0418874
SkyDome	0.0418597
"Sundance Film Festival"	0.0418433
"Airbus @@@"	0.0415798
Superdome	0.0415678
"Pinehurst No. @"	0.0415019
"Royal Birkdale"	0.0414068
Baerga	0.0413429
Tabernacle	0.0410847
skyboxes	0.0410406
"Italian Open"	0.0409581
choosing	0.0409354
"Market Square Arena"	0.0408572
"computing system"	0.0407786
Safeco	0.0406718
"East Lake"	0.0405329
"Longwood Cricket Club"	0.0405142
"summer house"	0.0404831
"public toilet"	0.0404031
"U.N. Headquarters"	0.0403975
"Lone Star Park"	0.0402107
A@@@s	0.0401924
macro-economy	0.0401534
"Rainbow Room"	0.0401232
libero	0.0400844
"Logan International Airport"	0.0400452
))
("civic center" (desc 4563.67) (sims
"Convention Center"	0.114547
amphitheater	0.0931839
Coliseum	0.0803442
"Symphony Hall"	0.0782092
"fire station"	0.0740451
"community center"	0.0733075
"National Stadium"	0.0727052
"Miami Arena"	0.071902
"Shrine Auditorium"	0.0710758
"MCI Center"	0.0707911
"concert hall"	0.0703709
"Great Hall"	0.0695078
"Nassau Coliseum"	0.0693922
waterfront	0.0685742
"Staples Center"	0.0671211
"Ritz-Carlton Hotel"	0.0669447
Cathedral	0.0665719
"ball field"	0.0663175
mosque	0.0657848
plaza	0.065164
"domed stadium"	0.0649751
mausoleum	0.064519
"pizza parlor"	0.0642252
"Wembley Stadium"	0.063769
"shopping center"	0.0634998
gymnasium	0.0634122
"Memorial Stadium"	0.0634046
"conference center"	0.0626759
"John F. Kennedy Library"	0.062563
"sports arena"	0.0621359
fairground	0.0620586
"shopping mall"	0.0617875
ballroom	0.061573
Alamodome	0.061435
"Lincoln Memorial"	0.0612784
"Olympic Stadium"	0.0601481
cemetery	0.0601324
"football stadium"	0.0600571
"movie theater"	0.0599892
courthouse	0.059916
"Hilton Hotel"	0.0597259
riverfront	0.0595889
COMDEX	0.0595453
"subway station"	0.059231
pier	0.0588574
"Pacific Bell Park"	0.0584713
"Hyatt Regency"	0.0584106
synagogue	0.0584086
"science museum"	0.0579818
auditorium	0.0579107
"botanical garden"	0.0576327
"Madison Square Garden"	0.0573564
"Grand Ole Opry"	0.0568175
"ice rink"	0.0555206
"Olympic Park"	0.0548464
Xiaolangdi	0.0548402
"Gorges Dam"	0.0545785
"town hall"	0.054477
"Continental Arena"	0.0544479
skyline	0.0543896
"America West Arena"	0.0541494
"Soldier Field"	0.0539455
waterworks	0.0537362
firehouse	0.053359
"city hall"	0.0524099
"Philips Arena"	0.0522615
"First Union Center"	0.0522107
Carnegie	0.0521063
"Riverside Church"	0.0519008
edifice	0.0518201
"Safeco Field"	0.0518131
"opera house"	0.0515874
"assembly hall"	0.0515688
"railroad station"	0.0513812
"Union Square"	0.051324
aquarium	0.0513158
"Tiger Stadium"	0.0511966
"police station"	0.0511428
"RFK Stadium"	0.0510129
"railway station"	0.0509748
"Devil Stadium"	0.050931
"Union Station"	0.0506736
"funeral home"	0.0506217
Astrodome	0.0502421
"post office"	0.0501328
"athletic facility"	0.0499355
armory	0.0496878
"housing development"	0.0495668
YMCA	0.0493896
"Jack Kent Cooke Stadium"	0.0493837
"ring road"	0.0491298
"Conseco Fieldhouse"	0.0490548
"Comerica Park"	0.0489697
"Lincoln Center Festival"	0.0489179
Marina	0.0488413
"Turner Field"	0.0488313
Macworld	0.0488197
"business district"	0.0488155
"Metropolitan Opera House"	0.0487832
"Waldorf-Astoria Hotel"	0.0487443
"Belmont Learning Center"	0.0487132
"row house"	0.0481865
"Pro Player Stadium"	0.0481795
"Arthur Ashe Stadium"	0.0481136
"Tate Gallery"	0.0480126
"Qualcomm Stadium"	0.047968
Bathhouse	0.0478512
wharf	0.047786
"RCA Dome"	0.0477607
"child welfare agency"	0.0477268
"general store"	0.0475963
"Enron Field"	0.0475344
"Foxboro Stadium"	0.0474298
substation	0.0474152
"Rockefeller Center"	0.0473772
"elementary school"	0.0473668
schoolhouse	0.04701
"Oakland Coliseum"	0.046982
stockyard	0.0469291
"Dead Sea"	0.0468115
"Arrowhead Stadium"	0.0467335
"Georgia Dome"	0.0465574
"Reunion Arena"	0.0465317
"Human Rights Commission"	0.0463543
"Stade Velodrome"	0.0463011
"Alice Tully Hall"	0.046087
high-rise	0.0460589
"Veterans Stadium"	0.0459349
thoroughfare	0.0456487
nightspot	0.0456037
"parade ground"	0.0455991
"Times Square"	0.0454707
tavern	0.0454343
"bus terminal"	0.0454149
gymnasiums	0.0453826
"house of worship"	0.0453283
"U.S. Capitol"	0.0448273
"Hong Kong International Airport"	0.0446071
"Capital Airport"	0.044521
"bus stop"	0.0442976
"National Tennis Center"	0.0441895
"Victoria Park"	0.0440817
"Tokyo Dome"	0.0440323
"Carnegie Hall"	0.0439526
"University of Zimbabwe"	0.0438172
"gas station"	0.0437254
multiplex	0.0436962
"cable car"	0.0436629
nightclub	0.0436373
"business establishment"	0.0435857
Galleria	0.043492
"Marine Midland Arena"	0.0434697
"Pepsi Center"	0.043434
kennel	0.043378
"Indian Wells"	0.04334
"Hong Kong Convention and Exhibition Center"	0.0433194
"Board of Supervisors"	0.043268
"Miller Park"	0.0432233
"Imperial Palace"	0.0431411
"Radio City Music Hall"	0.0431179
megaplex	0.0430274
saloon	0.0430031
"Plaza Hotel"	0.0430011
"National Library"	0.0428841
"Delta Center"	0.0428645
"national monument"	0.0427337
"country club"	0.0426993
FleetCenter	0.0426535
"legal community"	0.042635
"office building"	0.0425287
"Trans World Dome"	0.0424734
"art gallery"	0.0424644
"particle accelerator"	0.0423546
redevelopment	0.0422929
"industrial park"	0.0422399
"suspension bridge"	0.042144
lakefront	0.0421337
rink	0.0416048
"Port St. Lucie"	0.0415369
brewery	0.0414281
chapel	0.0413832
skyscraper	0.0413118
"sewer system"	0.04128
"Tiananmen Square"	0.041221
"Memorial Hall"	0.0412129
superhighway	0.0411597
"Texas Stadium"	0.0411431
"World Trade Center"	0.0411381
coffeehouse	0.0411361
"public toilet"	0.0411221
Meadowlands	0.0411198
"exhibition hall"	0.0410875
nightlife	0.0410752
"Giants Stadium"	0.0410495
ASHEVILLE	0.0410141
Postmaster	0.0409782
walkway	0.0409533
planetarium	0.0409252
facelift	0.0408807
"skating rink"	0.0408525
))
("Civic Democratic Party" (desc 2882.88) (sims
"True Path Party"	0.174259
"Freedom Union"	0.15445
"Christian Democratic Party"	0.152093
"Christian Democratic Union"	0.141007
"United Liberal Democrats"	0.138231
"Motherland Party"	0.138037
"Christian Democrats"	0.136036
"National Action Party"	0.135447
"People's Party"	0.134131
"Cambodian People's Party"	0.132895
"New Aspiration Party"	0.132132
"Christian Social Union"	0.127205
"Social Democratic Party"	0.124842
"Popular Party"	0.1246
"National Party"	0.12199
"Zimbabwe African National Union-Patriotic Front"	0.121739
"National Democratic Alliance"	0.119159
"Canadian Alliance"	0.116376
"Socialist Party"	0.115062
"Likud Party"	0.1108
"National Democratic Party"	0.108118
"Cuban American National Foundation"	0.106361
"Parti Quebecois"	0.106296
"United Democratic Movement"	0.105879
"Nepali Congress"	0.105807
"National Alliance"	0.104295
"United Malays National Organization"	0.103336
"Islamic Salvation Front"	0.103087
"United National Independence Party"	0.102461
"National League for Democracy"	0.10073
"United National Party"	0.100598
"Social Democrats"	0.100509
"Liberal Party"	0.0996919
"Bharatiya Janata Party"	0.0995605
"Indonesian Democratic Party"	0.0992338
"National Front"	0.0991065
"Democratic Progressive Party"	0.0971585
"New Korea Party"	0.0970551
"Congress Party"	0.0968031
"State Peace and Development Council"	0.096406
PASOK	0.0953385
"Congressional Black Caucus"	0.0952927
"Rwandan Patriotic Front"	0.0948766
"Pakistan Muslim League"	0.0947447
"Virtue Party"	0.0941175
"Institutional Revolutionary Party"	0.0939496
"Center Party"	0.0932906
"Sam Rainsy Party"	0.0915741
"National Religious Party"	0.0903086
"Liberation Front"	0.0902705
"Democratic Alliance"	0.0899214
"popular front"	0.0891671
"Radical Party"	0.0881541
"Democratic Left"	0.0877701
"Kenya African National Union"	0.0874881
"Welfare Party"	0.0848786
Zanu-pf	0.0847299
"New Democracy"	0.0846102
"National Action"	0.0845087
"Free Democratic Party"	0.0842451
"Awami League"	0.0842021
"Croatian Democratic Union"	0.0841107
"Serbian Renewal Movement"	0.0841043
"Conservative Party"	0.082279
"Justice Party"	0.0821616
Golkar	0.0820208
"Labor Party"	0.0820173
"Golkar Party"	0.081075
FUNCINPEC	0.0804812
"People's Democratic Party"	0.0791456
Awami	0.0791265
"Meretz Party"	0.0790475
CDU	0.0782497
"Democrat Party"	0.0779901
"Barisan Nasional"	0.0777362
"Serbian Radical Party"	0.0776424
"Liberal Democratic Party"	0.0773459
"Democratic Party"	0.07668
LDP	0.0764286
"Ulster Unionists"	0.0763437
"Freedom Party"	0.0762259
"Nationalist Party"	0.0754269
BJP	0.0751437
Yabloko	0.0749006
"Council of Economic Advisers"	0.0747623
"Bangladesh Nationalist Party"	0.0747572
"Commerce Committee"	0.0747464
CPP	0.074712
"Iraqi National Congress"	0.0746308
"House Budget Committee"	0.0746214
Sakigake	0.0745022
"Liberal Democrats"	0.0744672
"Islamic Welfare Party"	0.0742415
"Ulster Unionist Party"	0.0739624
"Revolutionary Party"	0.0738957
"Judicial Watch"	0.0738283
Jamaat-e-Islami	0.0735612
"El Mundo"	0.0735088
"United Front"	0.0734454
Lakas-NUCD	0.0734351
"Green Party"	0.073022
"Supreme Soviet"	0.0722562
"Democratic Unionist Party"	0.0722304
"African National Congress"	0.0718942
"Baath Party"	0.0713936
ZANU	0.0711989
"National Resistance Movement"	0.0709182
"Democratic Left Party"	0.070725
CPN-UML	0.0705675
Likud	0.070534
"Shas Party"	0.0696909
"Electoral Commission"	0.069482
Klaus	0.0692554
"Supreme Council"	0.0691928
"Inkatha Freedom Party"	0.0688999
"Colorado Party"	0.0670339
"Janata Dal"	0.0669798
"Lesotho Congress"	0.066938
"Appropriations Committee"	0.0666908
"Pakistan People's Party"	0.0664399
FRELIMO	0.0663288
"Banking Committee"	0.0659508
UNP	0.0657761
CCM	0.0655627
"Progressive Party"	0.0652526
"Patriotic Union of Kurdistan"	0.0650895
"Senate Governmental Affairs Committee"	0.0649913
"Family Research Council"	0.0647219
UNIP	0.064658
NDP	0.0646024
"Liberation Tigers"	0.0645533
"paramilitary organization"	0.0644496
"Democratic Revolution Party"	0.0643382
"Grand National Party"	0.0641535
"National Union for Total Independence"	0.0639939
Meretz	0.0639449
"Atlanta Committee"	0.0635976
"Council of State"	0.0633779
"National Union"	0.0631474
"United Development Party"	0.0630803
"Islamic Movement"	0.0630203
"Democratic Leadership Council"	0.0628599
"search committee"	0.0625636
"House Banking Committee"	0.0624881
Schuessel	0.0624737
"Senate Commerce Committee"	0.0623716
"China Society"	0.0621902
"House International Relations Committee"	0.0621684
"Labour Party"	0.0617431
"People's Alliance"	0.0616307
"Freedom Front"	0.0615281
"Senate Budget Committee"	0.0613412
Renamo	0.0612679
PML-N	0.0611422
"Congolese Rally"	0.0610856
"Kosovo Verification Mission"	0.0608532
"Seibu Lions"	0.0607723
"Sudan People's Liberation Army"	0.0605035
"National Awakening Party"	0.0603949
"Southeastern Legal Foundation"	0.0603367
socialist	0.0601011
MPLA	0.0600916
Lux	0.0598489
"District Council"	0.0597779
"Funcinpec Party"	0.0597391
"General Committee"	0.0595298
PML	0.0594616
SDP	0.0594275
Zeman	0.0592289
SDS	0.0590119
"Free Democrats"	0.0589915
"political movement"	0.0588492
"Southern Democrats"	0.0586481
SDLP	0.0583718
"Nahdlatul Ulama"	0.0580659
"International Society"	0.057634
"Ways and Means Committee"	0.0572882
"National Republican Congressional Committee"	0.0572829
RP	0.0572818
"Kurdistan Workers Party"	0.0572626
"Russian Communist Party"	0.0571027
"Federal Council"	0.0570978
"National Gambling Impact Study Commission"	0.0569606
Hezb-i-Islami	0.0569586
ANC	0.0567513
Sandinistas	0.056672
"Log Cabin Republicans"	0.0566059
PDP	0.0565468
"Motion Picture Association of America"	0.0562906
"IG Metall"	0.0562749
"Rules Committee"	0.0562201
"International Association of Machinists"	0.0562115
"Handgun Control Inc."	0.0561175
"Business Council"	0.0557873
DAP	0.0556424
"Human Rights Commission"	0.0555167
Kinkel	0.0553947
"Board of Supervisors"	0.0553899
"Real IRA"	0.0553529
"Albanian Kosovo Liberation Army"	0.055291
))
("civic duty" (desc 1120.5) (sims
"moral obligation"	0.111648
self-worth	0.0937273
mitzvah	0.0926302
self-protection	0.090995
"Passion play"	0.0885615
"financial obligation"	0.0882843
obeisance	0.087845
sextet	0.0823265
foreboding	0.0788773
connectedness	0.0779851
powerlessness	0.0769601
penance	0.0747386
"space walk"	0.0746973
mini	0.0746598
"second tour"	0.0739458
victimhood	0.0720437
"God's Will"	0.0719889
triage	0.0715144
"deja vu"	0.0713782
flogging	0.0704201
striptease	0.0702541
verisimilitude	0.0684202
"triple play"	0.0683141
"sour grapes"	0.0673159
"sleight of hand"	0.0673129
cartwheel	0.0672726
heartbreaker	0.0671519
molar	0.0669797
schoolwork	0.066661
nationhood	0.066506
CPR	0.0661351
fatalism	0.0655157
prognostication	0.0650614
"social status"	0.0648929
"waiting game"	0.0648676
unreality	0.0646215
pirouette	0.0644311
Jewishness	0.0641803
anticlimax	0.0635959
collegiality	0.063383
copout	0.063174
"easy money"	0.0630225
non-issue	0.0626889
avocation	0.0621024
"field work"	0.0620936
heartening	0.0617885
righteousness	0.0617853
disservice	0.0615262
humanitarianism	0.0614022
"swan song"	0.0611894
altruism	0.0610964
u-turn	0.0609555
"waste of money"	0.0602149
"missionary work"	0.0598216
morals	0.0595911
goodness	0.0595094
objectivity	0.0594622
cantata	0.059407
"piece of cake"	0.0593633
Caesarean	0.0590651
kinship	0.0588633
gibberish	0.0587672
decency	0.0582982
worthiness	0.0582959
derring-do	0.0582177
"Sweeney Todd"	0.0581872
committment	0.0580012
Wanderlust	0.0579524
"hot potato"	0.0578716
teamwork	0.0577312
inclusiveness	0.0575352
"sense of duty"	0.0573937
physicals	0.0572763
togetherness	0.0572742
errand	0.0571944
frugality	0.0571359
"fellow traveler"	0.0568113
Hula	0.0565488
"hostile takeover"	0.0565419
lateral	0.0564696
diligence	0.0564196
"tall order"	0.056324
"fait accompli"	0.0560084
"patent right"	0.0558122
wholeness	0.0557556
"guessing game"	0.0557304
self-examination	0.0554813
Helms-Burton	0.0553903
self-discipline	0.0553573
"vicious cycle"	0.0553269
"strong belief"	0.0552527
"civic pride"	0.0549827
spacewalk	0.0545594
match-ups	0.0543713
self-censorship	0.0540644
calmness	0.0539317
slipup	0.0538375
traditionalism	0.0538126
tossup	0.0537299
helplessness	0.0537126
wipeout	0.0534735
"military service"	0.053455
grandkids	0.0532162
brotherhood	0.0529342
"heroin addiction"	0.0527987
prerogative	0.0520781
selflessness	0.0520103
prudence	0.0519524
"Dirty Bird"	0.0519039
first-rounder	0.0518517
calisthenics	0.0518207
LASIK	0.0517959
"natural process"	0.0517424
rationality	0.0516578
"leisure time"	0.0515842
elegy	0.0514752
C-section	0.0514353
"Roman Empire"	0.0513616
"Market system"	0.0512901
"Thomson Multimedia"	0.0512853
cakewalk	0.0512172
comma	0.0512003
inferiority	0.0511295
admonition	0.0510202
"military drill"	0.0510015
forefather	0.0508165
negation	0.0507856
fragmentation	0.0505397
"purchase contract"	0.0505337
harangue	0.050517
"crowd control"	0.0503395
stethoscope	0.0501495
baloney	0.0500078
"parlor game"	0.0499697
"export quota"	0.0497968
bravery	0.0497161
self-respect	0.0496824
"dry run"	0.0494246
blasphemy	0.0493908
"road show"	0.0493722
timidity	0.0493433
"caesarean section"	0.0493085
"Christmas present"	0.0491956
"popularity contest"	0.0491444
"manual labor"	0.0488991
"takeover attempt"	0.0488917
masculinity	0.0488131
self-discovery	0.0487911
"numbers game"	0.048608
self-satisfaction	0.0485236
"American League Division Series"	0.0484869
abdication	0.0483427
wont	0.048239
self-preservation	0.0481105
Haj	0.0478967
revulsion	0.0478581
vasectomy	0.0477744
"production ceiling"	0.0477731
continuum	0.0476672
"medical exam"	0.0476206
puzzlement	0.047441
"service contract"	0.0473475
"Disabilities Act"	0.0470291
crapshoot	0.0468954
"death warrant"	0.0468348
mischief	0.046822
hopefulness	0.0467417
playlist	0.0467344
"battle plan"	0.0467146
commonality	0.0466747
pandemonium	0.0466322
astonishment	0.0465785
"legal status"	0.0465137
spinnaker	0.0464928
tenancy	0.0464373
salchow	0.0464004
comeuppance	0.0463811
"end run"	0.0463768
self-restraint	0.0463547
distinctiveness	0.0463451
"world organization"	0.0462382
misstatement	0.04613
arithmetic	0.0461173
cannonball	0.0460938
"bar mitzvah"	0.0460636
Momma	0.0460527
"reaction time"	0.0459669
harder	0.045876
"clean slate"	0.0458477
cappella	0.0458213
sisterhood	0.0458136
"secret plan"	0.0457879
invincibility	0.0457822
ennui	0.0457281
"waste of time"	0.0455996
liposuction	0.0455092
jeremiad	0.0454997
"due process"	0.0454586
self-reliance	0.0453641
postmortem	0.0452993
))
("civic leader" (desc 7127.2) (sims
"business leader"	0.145751
"labor leader"	0.144076
"religious leader"	0.126822
preservationists	0.126821
ethicists	0.12589
"business executive"	0.12396
"legal expert"	0.114769
"government officials"	0.1119
"political leader"	0.111082
"civil rights leader"	0.109314
Industrialist	0.105277
educator	0.104383
academic	0.102194
philanthropist	0.101432
businesspeople	0.101167
"labor union"	0.101042
"elected official"	0.100554
activist	0.0998307
environmentalist	0.098271
conservationist	0.0977594
businessmen	0.0932123
entrepreneur	0.092713
criminologists	0.092384
lobbyist	0.089062
"corporate executive"	0.0876586
"property owner"	0.0874678
"social scientist"	0.0874085
congressmen	0.0873554
"newspaper editor"	0.0871371
statesmen	0.0868208
dignitary	0.0855149
clergymen	0.0854501
legislator	0.0846018
politician	0.0842283
lawmaker	0.0831692
scholar	0.0831138
journalist	0.0825039
"social organization"	0.0822151
"AIDS activist"	0.0820769
"business community"	0.0817114
"military officer"	0.0813853
developer	0.0808929
Councilman	0.0802259
banker	0.0796739
"policy maker"	0.079602
theologian	0.0794574
"market participant"	0.0793249
Councilors	0.0792272
policymakers	0.0788998
"sports fan"	0.0787892
intellectual	0.0787492
Cuban-Americans	0.078282
"union representative"	0.0775405
"economic expert"	0.0774124
diplomat	0.0759427
businessman	0.0758775
clergy	0.0749844
"church member"	0.0747972
"trade union"	0.0743166
"interest group"	0.0737438
"cabinet minister"	0.0734594
"business establishment"	0.0729526
"pressure group"	0.0728619
decision-makers	0.072541
planner	0.0723745
stockbroker	0.0723489
stakeholder	0.0720871
"real estate agent"	0.0719602
landowner	0.0716406
parliamentarian	0.0713135
Chinese-Americans	0.0712373
"union member"	0.0710221
policy-makers	0.0709585
educationist	0.07089
"foreign officials"	0.0708867
shopkeeper	0.0704711
"computer expert"	0.0703332
hotelier	0.0703164
"council member"	0.0699319
homeowner	0.0699046
"university student"	0.069754
administrator	0.0697309
"financial officer"	0.0695755
elder	0.0694212
"business organization"	0.069203
bureaucrat	0.0688964
"board member"	0.0682037
Libertarian	0.0680452
physician	0.0680144
"federal official"	0.0679082
commentator	0.0677562
"real estate developer"	0.0671327
"state senator"	0.0670315
"social group"	0.0666981
"health professional"	0.0664054
"tribal chief"	0.0662352
Alumni	0.0661352
jurist	0.0659955
"school superintendent"	0.0659729
dermatologist	0.0658146
"police officer"	0.0652944
"venture capitalist"	0.0650423
restaurateur	0.0650363
nonprofits	0.0649783
technocrat	0.0649182
financier	0.0648409
"social worker"	0.0642718
"police lieutenant"	0.06422
dissident	0.0641615
"public defender"	0.0641601
"insurance agent"	0.0641439
"trade unionist"	0.0640688
thinker	0.0640108
enterpreneurs	0.0637895
merchant	0.0637445
laity	0.0636113
protestor	0.0634057
socialite	0.0632626
academician	0.0631453
"newspaper publisher"	0.0630353
"investment banker"	0.0628305
observer	0.0627076
historian	0.0626296
patron	0.0624214
entertainer	0.0623944
sportsmen	0.0623249
"garment worker"	0.0622337
"chamber of commerce"	0.0621651
councilwoman	0.0621485
psychologist	0.0621101
landlord	0.0617717
schoolchildren	0.0617708
optometrist	0.0617112
feminist	0.0616943
watcher	0.0616581
Chinese-Indonesians	0.061604
"plantation owner"	0.061327
consultant	0.0612917
regulator	0.0611309
rancher	0.0610998
Magistrate	0.0609281
economist	0.0605501
"medical specialist"	0.0605484
"Kosovo Serbs"	0.0604716
"civil servant"	0.0604478
"Southern Democrats"	0.0602789
pundit	0.059876
"New York Republicans"	0.0598081
"non-governmental organizations"	0.0597242
donor	0.0593173
officeholder	0.0592654
sportswriters	0.0591918
"real estate broker"	0.0590155
"community organizer"	0.0589901
"car dealer"	0.0585226
"world leader"	0.0583383
"interior designer"	0.0583197
franchisees	0.0582402
loyalist	0.0581592
cleric	0.0581483
Orangemen	0.0580935
Panamanian	0.0580049
"union worker"	0.057962
anesthesiologist	0.0578474
"educational institution"	0.05763
"police sergeant"	0.0575438
Arab-Americans	0.0574104
VCs	0.0572448
rabbi	0.0571472
cabdriver	0.0570669
"Wall Street analyst"	0.0567532
staffer	0.0567361
"public servant"	0.0567046
Realtor	0.0565455
"New York Democrats"	0.0564139
"college student"	0.0562695
functionary	0.0562681
preacher	0.056077
"power broker"	0.0559116
"dairy farmer"	0.0558955
musician	0.0557218
scribe	0.055541
businesswoman	0.0553693
"military leader"	0.0553583
sociologist	0.0553329
congregants	0.0552967
"trial lawyer"	0.0552224
"police department"	0.0550929
collector	0.0550562
Muscovite	0.0550382
protester	0.0550025
Kuwaiti	0.0548996
Bostonians	0.0548706
"work unit"	0.0548546
promoter	0.0546902
NGOs	0.0545473
"private corporation"	0.0544928
Atlantans	0.0544716
pediatrician	0.0544613
"political detainee"	0.0541559
))
("civic pride" (desc 1250.79) (sims
contentment	0.0964546
hilarity	0.0863605
self-preservation	0.0857092
anticlimax	0.0797099
self-awareness	0.0795715
timidity	0.0770776
goofiness	0.0721406
AHA	0.0709765
self-protection	0.0705036
unreality	0.0678243
giddiness	0.0671345
self-worth	0.0668431
levity	0.0658436
catharsis	0.0654822
hopefulness	0.0652294
euphoria	0.0639602
weariness	0.0631081
self-esteem	0.0615702
altruism	0.061084
spontaneity	0.0608142
togetherness	0.0596609
transcendence	0.0593766
self-confidence	0.0592301
self-indulgence	0.0591804
"inferiority complex"	0.0591397
trepidation	0.0589357
foreboding	0.0588718
inertia	0.0588287
paranoia	0.0580743
"vitamin D"	0.0575415
self-satisfaction	0.0569053
bonhomie	0.0568351
wholeness	0.0564298
give-and-take	0.0558871
folate	0.0556524
Wanderlust	0.0554804
"civic duty"	0.0549827
exasperation	0.0546092
lunacy	0.0543574
defensiveness	0.0535132
disorientation	0.0534559
vasectomy	0.0534092
connectedness	0.0533386
victimhood	0.0532693
bewilderment	0.0530683
perversity	0.0526091
normality	0.0521863
gratification	0.052185
dispossession	0.0519241
individuality	0.0510374
gamesmanship	0.0508843
craziness	0.0508821
criminality	0.0503925
theatricality	0.0501709
powerlessness	0.0500962
self-discipline	0.0499616
jubilation	0.0496987
self-control	0.0495696
exhilaration	0.0491535
frailty	0.0491043
"background noise"	0.0490242
poignancy	0.0489576
nationhood	0.048741
bereavement	0.0486832
self-censorship	0.0486412
wildness	0.0485983
selflessness	0.048222
doneness	0.0481628
wonderment	0.0481622
verisimilitude	0.0481502
uneasiness	0.0480433
camaraderie	0.0479528
stubbornness	0.0479063
"deja vu"	0.0477941
playfulness	0.0476402
fatalism	0.0476182
dissension	0.0474733
cataclysm	0.0471885
reckoning	0.0465424
humility	0.0464493
tiredness	0.0463373
cleverness	0.0458589
lycopene	0.0455861
slipup	0.0451683
"investor interest"	0.0450224
"natural ability"	0.0449368
irrelevance	0.0449268
"great power"	0.0447617
consternation	0.0440673
self-respect	0.0436057
sustenance	0.0433285
derring-do	0.0432306
"ultraviolet light"	0.0430249
carotene	0.0428261
penance	0.0427842
invisibility	0.0427834
"price competition"	0.0427511
"price pressure"	0.0427416
stillness	0.0420182
puzzlement	0.0419725
ifs	0.0419238
ardor	0.0418972
guesswork	0.0417523
bravery	0.0416804
self-importance	0.0414901
helplessness	0.0414407
assimilation	0.0414337
commonality	0.0414156
"Official Development Assistance"	0.0413266
backsliding	0.0413162
tranquility	0.0412625
"trial and error"	0.0412555
"water vapor"	0.0411596
"atom bomb"	0.0411574
"raw talent"	0.0410384
"technological revolution"	0.0410156
self-deprecation	0.0407966
cockiness	0.0406834
immortality	0.0406751
"deficit spending"	0.0404898
monies	0.0401551
))
(civics (desc 2770.18) (sims
algebra	0.191946
math	0.162467
mathematics	0.154828
"physical education"	0.144575
"general knowledge"	0.141441
"computer science"	0.133345
geography	0.130873
sociology	0.128308
"Sunday school"	0.127158
astronomy	0.125557
third-grade	0.124627
biology	0.124245
linguistics	0.122566
eighth-grade	0.120855
Kiswahili	0.119553
"social science"	0.117769
Putonghua	0.117
anthropology	0.112042
sixth-grade	0.111017
catechism	0.11084
"sixth grade"	0.104289
second-grade	0.103668
polygraph	0.102475
geometry	0.101862
"senior high school"	0.100713
"liberal arts"	0.0998629
physics	0.0997428
"political science"	0.0995726
"ballroom dancing"	0.0973568
highschool	0.0921653
"natural science"	0.0917792
psychology	0.0906032
"earth science"	0.090474
Swahili	0.0902887
"special education"	0.0898487
"first grade"	0.0898022
"fifth grade"	0.0894452
geology	0.0890668
"public speaking"	0.0880343
"fine arts"	0.0866326
"science teacher"	0.0865205
economics	0.0861051
Afrikaans	0.0859348
"English class"	0.0856543
literacy	0.0855272
archaeology	0.0841916
MCAS	0.0840198
calculus	0.0839273
Anatomy	0.0827443
"comparative literature"	0.0804904
theology	0.0798139
karate	0.0794092
grammar	0.0793648
"grade school"	0.0786176
Chemistry	0.0777389
Talmud	0.0768052
"conflict resolution"	0.0761547
Etiquette	0.0756897
"second grade"	0.0755662
"environmental science"	0.0754868
penmanship	0.0752946
yoga	0.0752594
archeology	0.0750005
"computer operation"	0.0747913
K-@@	0.0741571
Mandarin	0.0738018
"eighth grade"	0.0737061
"computer programming"	0.0724143
"adult education"	0.0722119
morality	0.0707729
"English language"	0.0705392
aerobics	0.0689351
"college level"	0.0677968
Hebrew	0.0672376
"third grade"	0.0655882
SAT	0.0654625
Cantonese	0.0654228
"junior high school"	0.0647928
typing	0.0646207
spelling	0.0643198
Toxicology	0.0641234
proficiency	0.0639348
horticulture	0.06374
prehistory	0.0632889
forensics	0.0628135
"English teacher"	0.0625074
"Old Testament"	0.0616513
"martial art"	0.0615774
Camry	0.0610482
folklore	0.0604591
"sign language"	0.0602513
kindergarten	0.0594196
"grammar school"	0.059182
"magnetic resonance imaging"	0.0589816
ecology	0.0589671
TAAS	0.0588975
genealogy	0.0584842
arithmetic	0.0582718
nursing	0.0579588
Arabic	0.0578071
photography	0.0575018
criminology	0.0566092
preschool	0.0552658
agronomy	0.0541913
"math teacher"	0.0541808
"written language"	0.0537649
Latin	0.0534125
"early childhood"	0.0533963
entrepreneurship	0.0533929
Scripture	0.0529954
"nuclear physics"	0.0527623
genetics	0.0526682
abstinence	0.0524477
"first aid"	0.0516387
Welsh	0.0512123
"New Testament"	0.0511085
"chemical engineering"	0.0505779
alphabet	0.0505012
Urdu	0.0496747
"graduate school"	0.0496703
"nursery school"	0.0493311
clarinet	0.0492245
"social work"	0.0492057
biochemistry	0.0488091
geopolitics	0.048798
Yiddish	0.0483564
"seventh grade"	0.0481914
hands-on	0.047869
"civil engineering"	0.0478659
"social class"	0.047821
"modern dance"	0.0474414
pathology	0.0474307
four-hour	0.0470627
Sinhala	0.046666
phonics	0.0462525
pharmacology	0.045747
diploma	0.0456643
Buddhism	0.0454367
yeshiva	0.0452882
conducting	0.045202
zoology	0.0451218
mambo	0.0450964
retraining	0.044793
"junior high"	0.0447845
Farsi	0.0446318
obedience	0.0446295
"life science"	0.0444856
"six to eight"	0.0443617
Creole	0.0432321
six-week	0.0430908
eight-hour	0.0429585
"One key"	0.0429467
carpentry	0.0429088
mythology	0.0421366
"business school"	0.0420776
psychiatry	0.0417612
counterterrorism	0.0414973
Marxism-Leninism	0.0414771
fly-fishing	0.0413996
Koran	0.0406056
"urban planning"	0.0404441
"family planning"	0.040416
folkways	0.0404005
"Catholic school"	0.0403889
comprehension	0.0403887
"bird of prey"	0.040376
))
("Civil Action" (desc 4922.56) (sims
"sixth sense"	0.157806
Waterboy	0.147503
"Life Is Beautiful"	0.142275
"Eyes Wide Shut"	0.140768
U-@@@	0.135557
"Erin Brockovich"	0.131745
"Mighty Joe Young"	0.127041
"Thin Red Line"	0.126184
"Simple Plan"	0.125963
"Saving Private Ryan"	0.125451
stepmom	0.124072
"Runaway Bride"	0.123636
"Perfect Storm"	0.123462
"Coyote Ugly"	0.121096
Bowfinger	0.117867
"Impossible @"	0.117532
EdTV	0.116512
"Cruel Intentions"	0.116402
"Patch Adams"	0.114977
"Ideal Husband"	0.114194
"Thomas Crown Affair"	0.114126
"Double Jeopardy"	0.113977
"Inspector Gadget"	0.112683
"Stuart Little"	0.111141
"Fight Club"	0.109344
"Toy Story @"	0.108274
"high fidelity"	0.107577
Antz	0.106614
"Blair Witch Project"	0.106535
"Random Hearts"	0.104656
"Notting Hill"	0.103417
"Iron Giant"	0.102618
"Wild Wild West"	0.10141
"Smoke Signals"	0.101245
entrapment	0.100448
"Cider House Rules"	0.0998183
"American Beauty"	0.0990875
Rushmore	0.0987638
"Truman Show"	0.0980503
"Green Mile"	0.0956611
Armageddon	0.094695
"Big Daddy"	0.0933304
"American Pie"	0.0927635
"Hollow Man"	0.0895022
"Mickey Blue Eyes"	0.0880314
"Deep Impact"	0.0868933
X-MEN	0.0851398
Matrix	0.0845716
"Varsity Blues"	0.0833208
Tarzan	0.0827733
"Phantom Menace"	0.0809721
"chicken run"	0.0807286
"Space Cowboys"	0.0778267
"DEEP BLUE SEA"	0.0771516
"Lethal Weapon @"	0.0726311
"Straight Story"	0.0726049
mummy	0.0723955
"Nurse Betty"	0.0717556
"Toy Story"	0.0716754
"Scream @"	0.0707062
"Perfect Murder"	0.0700169
"Mod Squad"	0.0697707
"Third Watch"	0.0691214
"Blair Witch"	0.0680319
"Central Station"	0.0675567
Girlfight	0.067413
Gladiator	0.0670136
affliction	0.0661869
"wonder boy"	0.066114
"Get Real"	0.0655512
payback	0.064116
LIMEY	0.0634164
"True West"	0.0627023
Elizabeth	0.0626158
"Meet Joe Black"	0.0621612
psycho	0.0620417
"American Psycho"	0.061702
"Jerry Maguire"	0.0616056
"Sleepy Hollow"	0.0611843
Pleasantville	0.0607923
"English Patient"	0.0601236
avenger	0.0597864
Zorro	0.0596843
"Got Mail"	0.0596541
"Princess Mononoke"	0.059611
thriller	0.0586237
X-Files	0.0581143
"wing commander"	0.0580371
"Red Violin"	0.0574249
tango	0.0573528
"love letter"	0.0569867
"Waking Ned Devine"	0.0567753
Titanic	0.0563854
Magnolia	0.0562691
"Galaxy Quest"	0.0560787
Costner	0.055885
"Cradle Will Rock"	0.0552581
"best man"	0.0548379
pi	0.0546539
"Animal Farm"	0.0545509
"Been Kissed"	0.0540883
Mulan	0.053905
tingle	0.0534672
"Full Monty"	0.0534581
Ronin	0.0529555
sequel	0.05278
"Titan A.E."	0.05227
"Little Voice"	0.0520357
rainmaker	0.0518419
"wild West"	0.0511064
"period piece"	0.0509322
Amistad	0.0502294
ROUNDERS	0.050067
Shakespeare	0.0498483
Godzilla	0.0494658
dogma	0.0485851
"Very Bad Things"	0.0485231
Bulworth	0.0484966
"Parent Trap"	0.0484873
autobiography	0.0483296
DreamWorks	0.0481928
tumbleweed	0.047801
out-of-towners	0.0474869
"Being John Malkovich"	0.0471473
Nightingale	0.0470655
"Lion King"	0.0467385
prequel	0.0463876
Rugrats	0.0457287
Dolittle	0.0453208
"Cider House"	0.0451119
"Jeff Daniels"	0.0450623
"Satanic Verses"	0.0449256
crapshoot	0.0447672
"Scary Movie"	0.0443927
overlong	0.0437096
"Horse Whisperer"	0.0437018
"Citizen Kane"	0.0436523
"Side Man"	0.0436183
cabaret	0.0435411
Lolita	0.0434031
"Don Quixote"	0.0431579
"El Dorado"	0.0430719
"Ed Harris"	0.0429257
"pitch black"	0.0428938
serial	0.0427314
"Great Gatsby"	0.0426404
"Iceman Cometh"	0.0423898
Hilary	0.0423695
Stigmata	0.0423389
Amadeus	0.0420981
"Pulp Fiction"	0.0420652
"BUENA VISTA SOCIAL CLUB"	0.0419118
"Spike Lee"	0.041757
"True Thing"	0.0416395
"Dudley Do-Right"	0.0414792
"Steven Spielberg"	0.0414322
"Apt Pupil"	0.0412336
"rush hour"	0.0411773
Frankenstein	0.0411676
"William Morrow"	0.0410715
"feature film"	0.0409765
"love story"	0.0409272
Hurlyburly	0.0408213
"Good Book"	0.0405599
"Blue Room"	0.0404766
Dench	0.0403734
novella	0.0402884
))
("civil authority" (desc 1200.46) (sims
Kamajors	0.0651252
"waiting game"	0.0629067
"social organization"	0.0612047
"virgin forest"	0.0602101
"Veterans Administration"	0.0592375
laity	0.0590865
"fire fighter"	0.0577427
"local department"	0.0564174
Tintin	0.0555516
Presense	0.0554229
"Mayon Volcano"	0.0551164
"welfare worker"	0.0546711
"Hezbollah (Party"	0.0544774
frontlines	0.054049
"military position"	0.0530529
Natale	0.0530048
"Armed Police"	0.0528574
"Defense Fund"	0.05215
ex-combatants	0.0521426
"civil engineer"	0.0515746
"U.N. Secretariat"	0.0514054
evangelicals	0.05037
"civic leader"	0.0503457
sub-branches	0.0503041
Kesri	0.0502565
"General Security Service"	0.0501408
"police office"	0.0500416
Arkin	0.0488644
"civil law"	0.0480429
paraplegic	0.0467669
NTSB	0.0464579
outperformance	0.0461524
self-government	0.0460966
"Lewis Carroll"	0.0460653
PNP	0.0459657
"nearly $@"	0.0459436
passersby	0.0457792
"naval officer"	0.0455694
SPLA	0.0454066
Callaghan	0.045302
"National Transportation Safety Board"	0.0450771
"top officer"	0.0450568
HCFA	0.0450463
"Ethnic Albanians"	0.0448351
"Zhongshan University"	0.0447959
"U.N. High Commissioner for Refugees"	0.04476
"military unit"	0.0446185
"game warden"	0.0445139
"Turkish Embassy"	0.0443636
"ticket agent"	0.044086
Uvira	0.0440647
"educational institution"	0.0437237
non-Albanians	0.0431692
"displaced person"	0.0431084
HKMA	0.0430455
"juvenile delinquent"	0.0427071
"administrative official"	0.0424204
"draft board"	0.042274
"Ismail Amat"	0.0422734
downslide	0.0422483
"government minister"	0.0421865
"U.N. Observer Mission"	0.04199
"Federal Emergency Management Agency"	0.0418941
"small farmer"	0.0417749
"social activity"	0.0417061
"Maturino Resendez"	0.0416811
"United Nations Observer Mission"	0.0416636
Interahamwe	0.0415273
Misuari	0.0413741
Druse	0.0412563
"strong force"	0.0411914
Rains	0.0411651
filmgoers	0.0409876
uptrend	0.0409428
Ganassi	0.0409361
weightings	0.0406977
"United Nations Mission"	0.0406642
"South Lebanon Army"	0.040541
TRC	0.0405223
remained	0.0404559
airdrop	0.0402255
"Chief Executive Tung Chee-hwa"	0.0401905
Eco-tourism	0.0401759
belligerents	0.0401246
CPF	0.0400876
))
("Civil Aviation" (desc 1874.1) (sims
"Political Affairs"	0.174875
"civil defense"	0.138147
"Public Health"	0.127482
"Israeli Foreign Ministry"	0.117279
"Economic Affairs"	0.11685
"Defense Agency"	0.107461
"public security"	0.105547
"public works"	0.102876
"Foreign Trade"	0.100846
"Home Affairs"	0.0999861
"Russian Defense Ministry"	0.0990847
"Foreign Affairs"	0.0950528
"Chinese Olympic Committee"	0.0942511
"Foreign Relations"	0.0936431
"National Police"	0.0905079
"Russian Space Agency"	0.0894618
"Economic Development"	0.0873364
"Foreign Affairs Office"	0.0873069
CNTA	0.0861404
OCA	0.0801173
meteorology	0.0786247
SEPA	0.0757845
"Civil Aviation Authority"	0.0753663
"social welfare"	0.0751204
SDPC	0.0749734
antiquity	0.0743934
"State Administration of Foreign Exchange"	0.0731118
"Trade and Industry"	0.0723576
"Department of Environment"	0.0722439
"Culture Ministry"	0.071464
"Xinhua News Agency Hong Kong Branch"	0.0700236
WIPO	0.067795
forestry	0.0648683
"International Cooperation"	0.0641645
"Ministry of Culture"	0.0638091
"Islamic Revolution Guards Corps"	0.063209
Ivorian	0.0631911
"Ministry of Foreign Affairs"	0.0624175
"Vietnam Airlines"	0.0617851
"Humanitarian Affairs"	0.0616242
"Presidential Office"	0.0616148
"Tim Fischer"	0.0606283
"Economic Cooperation"	0.0605395
"Central Province"	0.0605355
"patent office"	0.0603502
counterterrorism	0.0601695
"U.S. Immigration and Naturalization Service"	0.0601036
"Department of Public Health"	0.0600177
reforestation	0.0598548
"Wang Yingfan"	0.0594884
"Home Ministry"	0.0593673
"Board of Investment"	0.0588216
"State Administration of Cultural Heritage"	0.0587466
"Department of Corrections"	0.0575322
"National Library"	0.0575009
"Shanghai Municipal Government"	0.0574775
"U.S. Soccer Federation"	0.057116
"Red Crescent"	0.0566037
"deputy manager"	0.0565118
upland	0.0564141
aeronautics	0.0562712
bureaux	0.0562594
"French Foreign Ministry"	0.0552223
NRC	0.0548887
"Russian Interior Ministry"	0.0548828
TAZARA	0.0546578
"Environmental Protection"	0.0543789
"International Trade"	0.0538248
"South Pacific Forum"	0.0531763
"Water Resources"	0.053023
DSE	0.0526828
"China Youth Development Foundation"	0.052202
Nepa	0.0521697
"Information Ministry"	0.0520478
CAAC	0.0519899
CRC	0.0517844
"Olympic Council of Asia"	0.0516686
"Airport Authority"	0.0512101
"State Law and Order Restoration Council"	0.051036
"Liaison Office"	0.0508831
Comelec	0.0507477
"Education Ministry"	0.0506744
directors-general	0.0502823
"Public Security Ministry"	0.0502708
"Ministry of Trade"	0.0501366
"Philippine National Police"	0.0487703
"Intelligence Ministry"	0.0486715
"Ministry of Education"	0.0484167
"National Marine Fisheries Service"	0.0484092
"General Administration of Customs"	0.0482228
"National Society"	0.0481887
SFA	0.0478954
UNRWA	0.0476144
BSF	0.0475593
"Michael Heseltine"	0.0474616
"vice- president"	0.0471878
CIRC	0.047136
"Royal Government"	0.0470166
"Information Center"	0.0469881
"Prime Ministers"	0.0468347
"British Foreign Office"	0.0467959
Ingush	0.0467708
conservancy	0.0467568
"Ministry of Trade and Industry"	0.0466547
BOI	0.0466544
Eco-tourism	0.0466211
"China National Tourism Administration"	0.0465047
Camerounian	0.0464485
Industries	0.0463597
"US State Department"	0.0463176
"Monetary Policy Committee"	0.0463023
"Palestinian Liberation Organization"	0.0462442
"Development Research Center"	0.0459378
"Nepali Congress"	0.0458712
"State Peace and Development Council"	0.0457899
"Olympic Committee"	0.0454873
"Ministry of Forestry"	0.0454054
"city planning"	0.0453016
"U.S. Olympic Committee"	0.0452088
"Rural Development"	0.045149
"Immigration Department"	0.0451061
ARATS	0.0449043
"Ministry of Foreign Trade"	0.0446934
SNCF	0.0446793
"United Nations Educational, Scientific and Cultural Organization"	0.044631
"Transport Ministry"	0.0445508
seismology	0.0444941
"U.N. Office"	0.0443473
"coal industry"	0.0441095
"Indonesian Armed Forces"	0.0437049
Procuratorate	0.0436332
"Economic Planning Agency"	0.0434464
PNP	0.0434277
"Christine Arron"	0.0434264
"Health Ministry"	0.0434027
coastguard	0.0433949
"Department of Public Safety"	0.0431309
"Russian Foreign Ministry"	0.0429758
KPA	0.0429382
MOFTEC	0.0426573
Caltrans	0.0426437
"Kenya Airways"	0.0424778
counterintelligence	0.0423719
Venecia	0.0422831
"Special Administrative Region"	0.0422427
"State Councilor"	0.0421898
"Pakistan People's Party"	0.0419704
CNOOC	0.0418703
auditor-general	0.0418423
SSB	0.0416899
"Ministry of Defense"	0.0415704
"State Development Planning Commission"	0.0415649
"State Environmental Protection Administration"	0.0415035
"chemical industry"	0.0413839
CNPC	0.0413794
"State Bureau of Cultural Relics"	0.0411296
IEC	0.0409842
"National Tourism Administration"	0.0408261
"Funcinpec Party"	0.0407519
"National Archives"	0.0407483
"World Tourism Organization"	0.0405865
"Arnaud Di Pasquale"	0.0405565
HHS	0.0404791
Biman	0.0404637
"State Planning Commission"	0.0403865
"Air Lanka"	0.0402538
"Jean-Philippe Gatien"	0.0401639
"Aerospatiale Matra"	0.040162
Caritas	0.0401294
"Information Office"	0.0401273
"Organization Department"	0.0401115
"CPC Central Commission for Discipline Inspection"	0.040095
FSB	0.0400394
"NATIONAL SECURITY"	0.0400393
))
("Civil Aviation Administration of China" (desc 3844.1) (sims
"China National Tourism Administration"	0.271346
"Ministry of Foreign Trade"	0.266919
"Ministry of Foreign Trade and Economic Cooperation"	0.260425
"State Economic and Trade Commission"	0.24757
"State Environmental Protection Administration"	0.24712
"State Forestry Administration"	0.243784
"State Development Planning Commission"	0.232782
"Ministry of Public Security"	0.232188
"State Administration of Cultural Heritage"	0.228432
"Ministry of Information Industry"	0.222116
"Ministry of Communications"	0.220866
"State Education Commission"	0.218252
"Ministry of Posts"	0.216112
"State Administration of Foreign Exchange"	0.211906
"Ministry of Railways"	0.20993
"State Planning Commission"	0.206338
"Bank of China"	0.204605
"Ministry of Science"	0.204519
"China Securities Regulatory Commission"	0.203007
MOFTEC	0.196674
"Ministry of Construction"	0.196049
"State Administration of Taxation"	0.19545
"Ministry of Water Resources"	0.194638
"Ministry of Forestry"	0.193795
"Ministry of Education"	0.193557
"Ministry of Agriculture"	0.191559
"National Tourism Administration"	0.189583
"Ministry of Culture"	0.187264
"General Administration of Customs"	0.180968
"State Administration of Internal Trade"	0.180648
"Ministry of Labor"	0.177392
"Ministry of Finance"	0.176963
"municipal government"	0.175176
"State Administration for Industry"	0.17356
"State Science and Technology Commission"	0.169938
"Ministry of Personnel"	0.169259
"People's Bank of China"	0.165589
"Ministry of Justice"	0.162685
"Ministry of Civil Affairs"	0.162601
"Ministry of Health"	0.16124
"State Statistics Bureau"	0.160232
"Agriculture Ministry"	0.159394
"Development Research Center"	0.156046
"National Bureau of Statistics"	0.155882
"State Bureau of Environmental Protection"	0.154702
"State Bureau of Cultural Relics"	0.153519
"China National Petroleum Corporation"	0.149637
"Chinese Foreign Ministry"	0.147848
"Beijing Municipal Government"	0.141275
"Ministry of Public Health"	0.135345
"China Council"	0.134376
CAAC	0.132754
"Thai Commerce Ministry"	0.13112
"Federal Aviation Administration"	0.130634
"Hong Kong Trade Development Council"	0.128482
"planning commission"	0.127541
"Ministry of Internal Trade"	0.127222
Procuratorate	0.12657
"Department of Commerce"	0.125423
"Taiwan Affairs Office"	0.122635
"Ministry of International Trade and Industry"	0.118375
"Health Ministry"	0.117665
"Industry Ministry"	0.117239
"Xinhua News Agency Hong Kong Branch"	0.114891
"State Seismological Bureau"	0.113504
"Israeli Foreign Ministry"	0.11243
"Labor Ministry"	0.112089
"Agricultural Bank of China"	0.111936
"Nuclear Regulatory Commission"	0.111439
"Ministry of Trade and Industry"	0.111077
"Board of Investment"	0.109683
CNTA	0.109304
"Ministry of Land"	0.109183
"Information Office"	0.109152
"Ministry of Geology"	0.108854
"Chinese Academy of Sciences"	0.108814
"Education Ministry"	0.108537
"Russian Defense Ministry"	0.106642
"Consumer Product Safety Commission"	0.106423
"Ministry of Foreign Affairs"	0.106232
"State Development Bank"	0.105459
"State Statistical Bureau"	0.105401
"Hong Kong Monetary Authority"	0.105081
"Construction Bank of China"	0.103231
"State Council"	0.102985
"Finance Ministry"	0.102545
"Shanghai Municipal Government"	0.102536
"Commerce Ministry"	0.101455
"Commission on Elections"	0.101352
"State Flood Control"	0.100575
"Agency for International Development"	0.100524
"National Transportation Safety Board"	0.100464
"Asian Development Bank"	0.100222
"Industrial and Commercial Bank of China"	0.0986383
"China Construction Bank"	0.0971425
"Thai Foreign Ministry"	0.0965528
"Environmental Protection Agency"	0.0957344
"local government"	0.0954208
"Food and Drug Administration"	0.0950519
"Justice Ministry"	0.0948656
"Department of Health"	0.0948281
"Foreign Ministry"	0.0939691
"United Nations Children's Fund"	0.0937588
"Interior Ministry"	0.0935638
"All-China Journalists Association"	0.0930902
"Department of Trade and Industry"	0.0923328
"Education Department"	0.0920951
"Shanghai Branch"	0.0919471
"U.N. Sanctions Committee"	0.0918282
"Defense Agency"	0.0917679
"Department of Public Health"	0.0908617
"All-China Federation"	0.0903964
"World Health Organization"	0.0895458
"United Nations Development Program"	0.0888505
"Criminal Investigation Department"	0.0884116
UNESCO	0.0880213
"Department of Transportation"	0.0878602
"King Bhumibol Adulyadej"	0.0873499
"China Unicom"	0.0871083
"Air China"	0.0870051
"U.S. Information Agency"	0.0861805
bureau	0.0860019
"Civil Aviation Authority"	0.0853775
"International Labor Organization"	0.0846677
"European Commission"	0.0844618
"U.S. Fish and Wildlife Service"	0.0843943
"Airport Authority"	0.0842564
"National Council of Churches"	0.084076
"Federal Communications Commission"	0.0838461
"Ministry of Industry"	0.0838051
"Transportation Department"	0.0836872
"NPC Standing Committee"	0.083068
"Central Bank of Kenya"	0.0828939
"Defense Ministry"	0.0827332
"central bank"	0.0826494
"Occupational Safety and Health Administration"	0.0823916
PBOC	0.0820249
"China Telecom"	0.0817093
"Presidential Office"	0.0816508
"U.S. Immigration and Naturalization Service"	0.081619
"Xinhua News Agency"	0.0811931
"Chinese Olympic Committee"	0.0811827
"Health Department"	0.0810407
"U.S. Export-Import Bank"	0.0808697
"U.N. Development Program"	0.0807838
"Ministry of Information"	0.0803274
"International Department"	0.0801205
"standing committee"	0.0799571
"United Nations Educational, Scientific and Cultural Organization"	0.0798014
"Agriculture Department"	0.0797888
"Home Ministry"	0.0797187
"Canadian International Development Agency"	0.0790537
"International Civil Aviation Organization"	0.0789912
"Central Government"	0.0789066
"Public Security Ministry"	0.0781724
"China Society"	0.0779531
"National Hurricane Center"	0.077791
"Nigerian National Petroleum Corporation"	0.077534
"Ministry of Tourism"	0.0775019
"International Maritime Organization"	0.0773439
CSRC	0.077141
"Department of Corrections"	0.0770218
"National Park Service"	0.0769001
FAA	0.0764021
CAS	0.0759148
"National Marine Fisheries Service"	0.0756263
"Russian Foreign Ministry"	0.0755979
"United Front Work Department"	0.0755383
"Foreign Affairs Office"	0.0754446
"United States government"	0.0753555
"United Nations Industrial Development Organization"	0.0752018
"World Food Program"	0.0748422
"National Cancer Institute"	0.0745352
"National Oceanic and Atmospheric Administration"	0.0745343
"Department of State"	0.0741538
"Department of Education"	0.073817
"National Highway Traffic Safety Administration"	0.0737354
SEPA	0.0734545
"U.S. State Department"	0.0734526
"board of regents"	0.0730469
"Association for Friendship"	0.0728138
"Office of Management and Budget"	0.0726114
"Central Intelligence Agency"	0.0725178
"Ministry of Interior"	0.0723086
"Red Cross Society"	0.0722612
"All-China Youth Federation"	0.0722088
"Health Care Financing Administration"	0.0721957
Nepa	0.0719174
FDA	0.0717527
"World Tourism Organization"	0.0715753
"Department of Agriculture"	0.0714665
"International Committee of Red Cross"	0.0711669
"Federal Trade Commission"	0.0706596
"International Atomic Energy Agency"	0.0704819
"election commission"	0.0704159
"Economic Cooperation"	0.0703937
"International Red Cross"	0.0700675
"Treasury Department"	0.0696998
"Political Department"	0.0695274
UNICEF	0.0694804
))
("Civil Aviation Authority" (desc 1677.62) (sims
"Defense Agency"	0.168335
"Russian Space Agency"	0.166638
"Agriculture Ministry"	0.165827
"Israeli Foreign Ministry"	0.164995
"General Security Service"	0.148307
"Transport Ministry"	0.144941
"U.S. Immigration and Naturalization Service"	0.143477
"Culture Ministry"	0.138133
OCA	0.135101
"Olympic Council of Asia"	0.135029
"U.S. Soccer Federation"	0.134126
"Ministry of International Trade and Industry"	0.132668
"Labor Ministry"	0.131568
"Ministry of Defense"	0.130833
"Nuclear Regulatory Commission"	0.127353
"Housing Authority"	0.127045
"State Flood Control"	0.124937
"British Foreign Office"	0.122253
"Public Security Ministry"	0.121899
"Airport Authority"	0.121557
"Atomic Energy Commission"	0.12088
"South African National Defense Force"	0.120441
"Department of Public Safety"	0.11935
"State Seismological Bureau"	0.117875
"Russian Defense Ministry"	0.117051
"Ministry of Trade and Industry"	0.116844
"Ministry of Trade"	0.115396
"State Administration of Foreign Exchange"	0.115368
"National Economic Council"	0.115039
"Department of Corrections"	0.113806
"Interior Ministry"	0.11361
"French Foreign Ministry"	0.113216
Nepa	0.11277
"Football Association"	0.112077
"Political Department"	0.111539
"Criminal Investigation Department"	0.110345
"Drug Enforcement Administration"	0.110257
"National Police"	0.110127
"planning commission"	0.10813
"Central Election Commission"	0.108125
CIRC	0.108119
"Olympic Committee"	0.108021
KPA	0.107127
"Immigration Department"	0.106803
"Health Ministry"	0.106776
CAA	0.106657
"Health Department"	0.106423
"Information Ministry"	0.106398
"Scotland Yard"	0.106229
SANDF	0.105816
NSC	0.105681
"Department of Trade and Industry"	0.105527
"Presidential Office"	0.105372
"Home Ministry"	0.104206
"National Tourism Administration"	0.10367
"Justice Ministry"	0.102477
"Consumer Product Safety Commission"	0.100239
"Ministry of Forestry"	0.100083
"Ministry of Information"	0.100031
"State Bureau of Cultural Relics"	0.0995666
"Economic Planning Agency"	0.0993884
"Royal Navy"	0.0991588
"National Republican Congressional Committee"	0.0986774
"Ministry of Economy"	0.098492
"Royal Ulster Constabulary"	0.0984547
"Cuban American National Foundation"	0.0982947
"civil defense"	0.0971964
"China Youth Development Foundation"	0.0970608
"China National Tourism Administration"	0.0970545
"foreign office"	0.0960759
"Federal Security Service"	0.0958896
Directorate	0.0958603
"Palestinian Liberation Organization"	0.0950303
"National Electoral Commission of Nigeria"	0.0947216
NRC	0.0946419
"Chinese Olympic Committee"	0.0941773
IEC	0.0938124
"Defense Ministry"	0.0936776
DEP	0.0935999
"patent office"	0.0934279
"Indonesian Armed Forces"	0.0932515
"Federal Emergency Management Agency"	0.093141
UNAMET	0.0926316
"Central Intelligence Agency"	0.0916493
PNP	0.0908074
"Department of Health"	0.090636
"Southern Command"	0.0905546
"Xinhua News Agency Hong Kong Branch"	0.0903871
"Royal National Theater"	0.0901439
CSRC	0.0900603
"Democratic Senatorial Campaign Committee"	0.0899956
UNRWA	0.0897638
"Independent Electoral Commission"	0.089684
"Commission on Elections"	0.0893052
"National Transportation Safety Board"	0.0892845
"Macao Government"	0.0892529
"general staff"	0.0891262
"High Commission"	0.0891104
"National Highway Traffic Safety Administration"	0.0887996
"Public Service Commission"	0.0882645
"Straits Exchange Foundation"	0.0881044
"Ministry of Posts"	0.0878831
"Port Authority"	0.0877044
"State Forestry Administration"	0.0874832
"Field Poll"	0.0873917
"Texas Department of Public Safety"	0.0867024
"House Budget Committee"	0.0866648
BOI	0.0865401
"U.S. Fish and Wildlife Service"	0.0862285
F.A	0.0861653
"Ministry of Communications"	0.0860622
"Federal Deposit Insurance Corp."	0.0860377
Caritas	0.0859044
"Ethics Commission"	0.0858744
"Russian Orthodox Church"	0.0854874
"State Administration of Taxation"	0.0854091
"Civil Aviation Administration of China"	0.0853775
"Organizing Committee"	0.08483
"Ministry of Foreign Affairs"	0.0846455
"U.S. Forest Service"	0.0844481
FIBA	0.0842553
"State Environmental Protection Administration"	0.0842275
FSB	0.0838692
"Vietnam Airlines"	0.0837717
"United Nations Industrial Development Organization"	0.0833852
"Education Department"	0.0825717
"World Tourism Organization"	0.0823891
"United Nations Educational, Scientific and Cultural Organization"	0.0822991
AEC	0.082056
"Commerce Ministry"	0.0818659
"Philippine National Police"	0.0816984
"Foreign Ministry"	0.0811822
"National Council of Churches"	0.0811021
"International Labor Organization"	0.0810506
USAID	0.081033
SEPA	0.0806127
"U.S. Border Patrol"	0.0806033
"Independent National Electoral Commission"	0.0805074
"Kosovo Verification Mission"	0.08046
"Nevada Athletic Commission"	0.0801413
"Electoral Commission"	0.0800752
"Meretz Party"	0.0800658
CAAC	0.0798536
Massport	0.079276
"World Jewish Congress"	0.079225
"State Bureau of Environmental Protection"	0.0791175
"Board of Investment"	0.0789784
"Likud Party"	0.0789519
"U.S. Export-Import Bank"	0.0789354
"New York Civil Liberties Union"	0.078738
CNTA	0.0785368
"Occupational Safety and Health Administration"	0.0785045
"Royal Society"	0.0783083
"Shin Bet"	0.0782083
CBI	0.0781438
"Chinese Foreign Ministry"	0.0781369
"Labor office"	0.0778267
"Education Ministry"	0.0777145
"Gulf Air"	0.0777097
"Health Care Financing Administration"	0.0774642
"Federal Aviation Administration"	0.0773905
"Forest Service"	0.0773779
"National Association of Securities Dealers"	0.0772632
"National Theater"	0.0770672
BSF	0.0767818
"secret service"	0.0766262
DAP	0.0765088
MII	0.0764839
"Ministry of Science"	0.0762989
"Department of Public Health"	0.0762203
"Securities Industry Association"	0.0762059
"Royal Air Force"	0.0761933
EEOC	0.076165
"Princess Anne"	0.0760037
"National Security Council"	0.0759962
"Vodafone Airtouch PLC"	0.0758711
"State Peace and Development Council"	0.0758358
"South Pacific Forum"	0.0758065
"General Administration of Customs"	0.0757827
"State Administration of Cultural Heritage"	0.0757534
"Russian Foreign Ministry"	0.075737
"World Vision"	0.0757238
"National Marine Fisheries Service"	0.0756403
"Civil Aviation"	0.0753663
"Ministry of Industry"	0.0752033
CEC	0.0751242
"State Planning Commission"	0.0750986
NARAL	0.0750551
"Democratic Congressional Campaign Committee"	0.0749209
"Ministry of Construction"	0.0747024
"Department of Environmental Protection"	0.0746599
WIPO	0.0745607
"Australian Olympic Committee"	0.0744933
"Russian Interior Ministry"	0.0744652
FEMA	0.0744009
"Ministry of Planning"	0.0741967
SDPC	0.0741861
"Ministry of Culture"	0.074183
"State Administration for Industry"	0.0741001
"National Hurricane Center"	0.0740212
))
("civil defense" (desc 3647.96) (sims
"Defense Agency"	0.148747
counterterrorism	0.142542
"Civil Aviation"	0.138147
PNP	0.12851
counterintelligence	0.127793
"U. N."	0.127172
BSF	0.123033
"public security"	0.119579
USAID	0.118936
"Red Crescent"	0.117707
"World Vision"	0.115472
"fire brigade"	0.114699
"U.S. Immigration and Naturalization Service"	0.113793
"Internal Affairs"	0.113367
"Department of Corrections"	0.111226
UNAMET	0.106264
SANDF	0.105989
"Federal Emergency Management Agency"	0.104586
IRGC	0.103549
"International Red Cross"	0.103158
TAZARA	0.103125
GSS	0.102908
"Department of Public Safety"	0.10102
"Interior Ministry"	0.100306
"customs service"	0.0998066
"Russian Space Agency"	0.0994841
"National Police"	0.0986543
"NATIONAL SECURITY"	0.0985183
"Scotland Yard"	0.0972078
"Civil Aviation Authority"	0.0971964
"Culture Ministry"	0.0966561
"American Red Cross"	0.0958462
BIA	0.0955215
coastguard	0.0952617
"Public Security Ministry"	0.0952608
"border patrol"	0.0942857
"military police"	0.0942091
"Peace Corps"	0.0940188
"Economic Affairs"	0.0939794
"National Guard"	0.0935887
"Israeli Foreign Ministry"	0.0927842
"Baath Party"	0.092662
"South African National Defense Force"	0.0920645
INEC	0.0913711
"U.S. Border Patrol"	0.0888388
FSB	0.0887999
Massport	0.0886007
"Home Affairs"	0.0879415
TNI	0.0874791
"Afghan Taliban"	0.0873347
"Home Ministry"	0.0872486
IEA	0.0872321
"Red Cross"	0.0868177
"British Foreign Office"	0.0864938
ACOG	0.086452
"Bosnian Croat"	0.0862681
UNIFIL	0.08602
"Federal Security Service"	0.0852921
OCA	0.0842698
"Russian Interior Ministry"	0.0836573
FEMA	0.083467
"Foreign Relations"	0.0832536
IEC	0.0828374
"Boys Ranch"	0.0826965
aeronautics	0.0825655
"U.S. Coast Guard"	0.0825274
Caritas	0.0815854
Abkhazian	0.0808149
"Forest Service"	0.0806909
"Health Department"	0.0805178
"Coast guard"	0.0801875
CWA	0.080101
"Economic Development"	0.0799065
"Health Ministry"	0.0797129
logistics	0.0795059
U.N	0.0794568
"Economic Planning Agency"	0.0794452
UNRWA	0.0794058
SSB	0.0790959
SAS	0.0789879
"Russian Navy"	0.0789567
NGO	0.078862
"fire control"	0.0788357
"chemical warfare"	0.0786734
UNTAET	0.0785262
meteorology	0.0782392
"Public Health"	0.0781024
NRC	0.0778736
"Labor Ministry"	0.0778405
MSF	0.0775555
"Immigration Department"	0.0775154
"Royal Ulster Constabulary"	0.0770903
"Health and Human Services Department"	0.0769345
"Russian Defense Ministry"	0.0765574
DMV	0.0763325
DEA	0.0763305
"Texas Department of Public Safety"	0.0763241
Nepa	0.075941
"city planning"	0.0759143
UNICEF	0.0757828
"U.N. World Food Program"	0.0757804
UNHCR	0.0757758
"Philippine National Police"	0.0755777
"Foreign Affairs"	0.0755591
"Special Forces"	0.0754791
CPS	0.0754136
FSA	0.0752761
"U.S. Soccer Federation"	0.0751412
CNTA	0.075054
"law enforcement"	0.0750517
Interpol	0.0748446
"Chinese Foreign Ministry"	0.0745747
"secret service"	0.0743246
"Defense Ministry"	0.0742481
Caltrans	0.074
forestry	0.0739394
"Northern Fleet"	0.0738479
"Justice Ministry"	0.0738415
"Air National Guard"	0.0738398
DFG	0.0737614
"Department of Public Health"	0.0737539
"public works"	0.0735476
"U.S. Forest Service"	0.0734065
"U.S. Defense Department"	0.0733304
AEC	0.0733218
UNAIDS	0.0732454
midlevel	0.0731674
"Trade and Industry"	0.0730473
KPA	0.0729703
nursing	0.0729015
"social welfare"	0.0727995
NSC	0.0727794
PLA	0.0727386
"Southern Command"	0.0724134
basij	0.072403
airforce	0.072366
"Political Affairs"	0.0722318
SBA	0.0721956
IAF	0.0720846
geophysics	0.0719508
ICRC	0.0717719
"fire department"	0.071749
"Department of Transportation"	0.071399
"Drug Enforcement Administration"	0.0711039
"Los Angeles Police Department"	0.0710054
CAA	0.070953
"Shin Bet"	0.0709146
"New York Civil Liberties Union"	0.0707453
"Royal Canadian Mounted Police"	0.0706605
SDPC	0.0706053
"Transportation Department"	0.0704185
"Royal Navy"	0.0702323
ABRI	0.0702108
SEPA	0.0701533
"Air Force Reserve"	0.0699498
"U.S. Fish and Wildlife Service"	0.0699267
IFOR	0.0698903
WIPO	0.0698673
aviation	0.0698436
va	0.0694894
"secret police"	0.068873
"Marine Corps"	0.0688281
WFP	0.0684722
IDF	0.0683857
"U.N. High Commissioner for Refugees"	0.068289
"mental health"	0.0681391
Taleban	0.0679601
EEOC	0.0678327
Comelec	0.0677307
Pemex	0.0675037
"Air Force"	0.0674891
"Airport Authority"	0.0673809
EPZ	0.0672446
"Housing Authority"	0.0671444
"Federal Bureau of Investigation"	0.0669805
"Ministry of Education"	0.0668714
Gestapo	0.0667341
DEP	0.0667253
"general staff"	0.066601
"first aid"	0.0663312
NATO-led	0.0662853
RRA	0.0661196
"French Foreign Ministry"	0.0660779
enforcement	0.0659664
"National Park Service"	0.065672
LAUSD	0.0656206
"Bureau of Indian Affairs"	0.0653031
"strategic planning"	0.0652911
Publicis	0.0652773
infantry	0.0652229
"Agency for International Development"	0.0651578
"Catholic Charities"	0.0650646
"Consolidated Edison"	0.0650638
"World Food Program"	0.0649156
Corp	0.0647815
obstetrics	0.0647557
MOFTEC	0.0647034
UNAMSIL	0.064621
"Information Ministry"	0.0644946
"National Transportation Safety Board"	0.0644718
))
("civil disobedience" (desc 5846.51) (sims
sit-in	0.123256
"direct action"	0.120364
Disobedience	0.103067
vandalism	0.0981281
"work stoppage"	0.0960355
sabotage	0.0926121
agitation	0.0908572
boycott	0.0900398
incitement	0.0892505
"psychological warfare"	0.0837572
nonviolence	0.083633
sedition	0.0821792
"hunger strike"	0.0804305
subversion	0.0786192
looting	0.0774694
rioting	0.0774648
hooliganism	0.0768686
intimidation	0.0758334
Jihad	0.0758003
mobilization	0.075541
go-slow	0.075077
walkout	0.0744438
blackmail	0.0739278
insurrection	0.0738954
riot	0.0732088
activism	0.0730597
"protest march"	0.0729182
extermination	0.0729083
destabilization	0.072162
unrest	0.0710056
"proxy fight"	0.070882
lawlessness	0.0702675
brinkmanship	0.0699199
brinksmanship	0.0683644
drunkenness	0.0681606
shoplifting	0.067684
reprisal	0.0676585
arson	0.0658867
cleansing	0.0658412
Indiscipline	0.0644731
"disorderly conduct"	0.0644545
deception	0.0641021
disturbance	0.0634872
separatism	0.0629639
"subversive activity"	0.0628131
cannibalism	0.0625987
terrorism	0.0624323
stalking	0.0623622
disinformation	0.0623451
blockade	0.0622271
harassment	0.0618572
Vilification	0.061481
blasphemy	0.0609258
"air power"	0.0607982
prostitution	0.0604256
anarchy	0.060347
terror	0.0600382
"price cutting"	0.0598473
warfare	0.0596789
plagiarism	0.05906
brutality	0.0589222
"Taiwan Independence"	0.0582509
embezzlement	0.058087
espionage	0.0579943
hoarding	0.0579566
rebellion	0.0577554
mutiny	0.0576566
disruption	0.0575836
mayhem	0.0574824
repression	0.057163
"cost cutting"	0.0564335
revolt	0.0561333
retribution	0.0559971
"power politics"	0.0559929
kidnapping	0.055311
self-defense	0.0552336
dissent	0.0550521
condemnation	0.0547218
criminality	0.0546695
secession	0.0545929
sickout	0.0545238
"sexual harassment"	0.0544069
"election fraud"	0.0543975
lynching	0.0543837
"military action"	0.0543717
"child abuse"	0.0543506
spraying	0.0543164
intoxication	0.0543023
bipartisanship	0.0542993
stayaway	0.0541382
counterattack	0.0540289
"securities fraud"	0.0538322
genocide	0.0537779
extortion	0.0529896
teach-in	0.0529757
filibuster	0.0526055
anti-Semitism	0.0525679
vote-buying	0.0525562
"crop failure"	0.0525263
"damage control"	0.0524173
uprising	0.052402
retaliation	0.0523213
retrenchment	0.0522934
cancellation	0.0522345
self-censorship	0.0521662
euthanasia	0.0520561
electioneering	0.0518379
splittism	0.0518307
"military drill"	0.0512026
desertion	0.0510825
coercion	0.0508126
insurgency	0.0507319
bribery	0.050527
defamation	0.0504709
"political movement"	0.0504517
slander	0.0503893
fumigation	0.0503711
"legal action"	0.0502567
Concealment	0.0502291
protectionism	0.050152
sodomy	0.0501495
banditry	0.0501207
reforestation	0.0499851
barbarity	0.0497917
burnings	0.049529
rigging	0.0493528
tolerance	0.0490233
conciliation	0.0488959
piracy	0.0488128
provocation	0.0487934
counter-offensive	0.0485818
"character assassination"	0.0485602
censorship	0.0485086
"police action"	0.0483601
pacification	0.0482907
procrastination	0.0481702
"job cut"	0.0480464
"insider trading"	0.0478998
manipulation	0.0478724
"civil rights"	0.0477722
"tax evasion"	0.047766
belt-tightening	0.0477283
racism	0.0477052
renegotiation	0.0475198
disaffection	0.0475108
isolationism	0.0474899
suppression	0.0474671
abandonment	0.0474633
emulation	0.0474003
bloodletting	0.0471844
"deficit spending"	0.0470188
shakeup	0.0469583
decertification	0.0468826
recrimination	0.0468631
shutdown	0.0464447
"mass murder"	0.0464377
"contempt of court"	0.0463925
solicitation	0.0463558
pandemonium	0.0462923
litigation	0.0462589
eviction	0.0462203
"civil right"	0.0461941
coverup	0.0461771
tie-up	0.0460985
"May Day"	0.0460215
"class warfare"	0.0458851
"white supremacy"	0.0458303
discontent	0.0458102
vigil	0.0456871
"possible action"	0.0456856
intercourse	0.0456391
instability	0.0456165
bombardment	0.0455948
starvation	0.0454869
perestroika	0.0454606
"power failure"	0.045123
persecution	0.0450195
self-protection	0.0449938
defiance	0.0449362
assimilation	0.0449078
roadshow	0.0448876
non-cooperation	0.0446997
mutilation	0.0446901
homicide	0.0446384
self-destruction	0.0444206
atrocity	0.0443063
"plant closing"	0.0442261
abstinence	0.0442235
"foul play"	0.0441322
reevaluation	0.0440701
barbarism	0.0440027
smuggling	0.0439295
clampdown	0.0438294
burglary	0.0437927
selloffs	0.043707
CFCs	0.0435963
wrongdoing	0.0435571
plebiscite	0.0434147
McCarthyism	0.0433153
disloyalty	0.0431576
))
("civil engineer" (desc 2739.71) (sims
"mechanical engineer"	0.14257
"real estate broker"	0.117678
"math teacher"	0.114564
"naval officer"	0.112164
"landscape architect"	0.110272
"interior designer"	0.105716
geophysicist	0.105664
landscaper	0.104102
"aerospace engineer"	0.102185
"certified public accountant"	0.0970987
"electrical engineer"	0.0951397
"air force officer"	0.0900585
schoolteacher	0.0840061
plumber	0.0837495
"funeral director"	0.0833958
Irishman	0.0828101
"school teacher"	0.0825687
"Navy Seal"	0.0820943
"foreign service officer"	0.0817228
electrician	0.0815032
"registered nurse"	0.0809047
adjuster	0.0802705
seamstress	0.0798261
"real estate agent"	0.0793331
"English teacher"	0.0778556
stockbroker	0.0772034
"day laborer"	0.076932
obstetrician	0.0763148
"dairy farmer"	0.0755229
triathlete	0.0751063
fabricator	0.0745914
"staff sergeant"	0.0742305
pathologist	0.0734014
paralegal	0.0733694
roofer	0.0729532
stuntman	0.0722218
biochemist	0.0720796
chemist	0.0720551
toxicologist	0.0717536
optometrist	0.0711818
fireman	0.0711116
"newspaper editor"	0.0704488
"computer programmer"	0.0703822
"computer expert"	0.0702204
infantryman	0.0701504
sculptor	0.0696979
Englishwoman	0.0695354
radiologist	0.0689837
"newspaper publisher"	0.0688234
"police lieutenant"	0.0687039
newspaperman	0.0684384
geologist	0.0684181
"insurance agent"	0.0682606
zoologist	0.0680363
accountant	0.0675734
nobleman	0.0670544
"general practitioner"	0.0669755
"factory worker"	0.066944
Bostonian	0.0669151
appraiser	0.0669124
agronomist	0.0667994
"heart surgeon"	0.066799
clergyman	0.0666781
botanist	0.0665004
"financial officer"	0.0664704
"medical student"	0.0660575
"physical therapist"	0.0657965
preservationists	0.0657832
"police sergeant"	0.0656656
"school principal"	0.065424
anesthesiologist	0.0653515
"enlisted man"	0.0653115
"insurance broker"	0.0649528
mathematician	0.0648846
geographer	0.0648405
"house painter"	0.0645667
cantor	0.0644761
"music teacher"	0.0643118
vaulter	0.0642531
physicist	0.0641504
"eye doctor"	0.0640662
"fashion designer"	0.064027
medic	0.0634545
carpenter	0.0632586
pensioner	0.0629834
naturalist	0.0628932
seminarian	0.0626668
bricklayer	0.0624525
"real estate developer"	0.0624067
machinist	0.0622437
linguist	0.0622216
"police captain"	0.0620547
"truck driver"	0.0620353
"hotel manager"	0.061968
anthropologist	0.0618573
bodybuilder	0.0614193
"lieutenant colonel"	0.0614138
restaurateur	0.0613127
"school superintendent"	0.0612455
animator	0.0612447
"medical specialist"	0.0612123
"business executive"	0.0611512
bookkeeper	0.0610622
housewife	0.0608886
actuary	0.0608223
educator	0.0607151
"plastic surgeon"	0.0606916
postman	0.0606054
gynecologist	0.0605467
homemaker	0.0605127
"social scientist"	0.060463
"department employee"	0.0604159
"A.P Indy"	0.0604111
"temporary worker"	0.0602667
builder	0.0601868
pharmacist	0.0601615
Realtor	0.0594553
transient	0.0593594
steelworker	0.0592153
dentist	0.0591386
CPA	0.0589937
"fashion model"	0.0588246
"investment banker"	0.0587357
"management consultant"	0.0586511
"folk singer"	0.0583832
"army engineer"	0.0582161
saleswoman	0.058152
grocer	0.0580986
"bus driver"	0.0580982
Futurist	0.0578599
veterinarian	0.0577444
pharmacologist	0.057535
hemophiliac	0.0574763
paleontologist	0.0574082
copywriter	0.0573664
"intelligence officer"	0.0572573
"state senator"	0.0571429
manicurist	0.0569638
watchman	0.0568378
"venture capitalist"	0.0567107
hairstylist	0.0564714
"English professor"	0.056308
serviceman	0.0563074
singer-songwriter	0.0561313
congresswoman	0.0561207
nutritionist	0.0560944
cabinetmaker	0.0560857
"test pilot"	0.0560793
"traveling salesman"	0.0560553
ecologist	0.0560159
Postmaster	0.0559887
"social worker"	0.0559546
"car dealer"	0.0554962
dermatologist	0.0553002
Seaman	0.055096
"Orange County Register"	0.0550737
biologist	0.0550675
masseur	0.0550384
ophthalmologist	0.0548339
"opera star"	0.0545699
"major leaguer"	0.0543803
sociologist	0.054344
"eagle scout"	0.0543283
firefighter	0.0542346
astronomer	0.0541124
"army officer"	0.0539581
"little leaguer"	0.0538457
"lieutenant general"	0.0537212
missionary	0.0536226
cellist	0.0533739
grandmaster	0.0530714
landscapers	0.0530584
microbiologist	0.052959
"Jehovah's Witness"	0.0528984
internist	0.0528189
deejays	0.052699
lass	0.052631
chiropractor	0.0526144
shopkeeper	0.0525776
"corporate executive"	0.0525449
paraplegic	0.0524924
sharecropper	0.0523639
businesswoman	0.0523364
cardiologist	0.0522784
"software engineer"	0.0522543
forester	0.0520646
"film producer"	0.0518446
exterminator	0.0518074
sportswriter	0.0517887
Gastroenterologist	0.051786
weatherman	0.0517613
yachtsman	0.0517159
freelancers	0.0516679
"military officer"	0.0516562
"civil authority"	0.0515746
"police detective"	0.051527
jurist	0.051472
lifer	0.051406
"government officials"	0.0513237
archeologist	0.0512691
))
("civil engineering" (desc 3251.36) (sims
"mechanical engineering"	0.306404
"chemical engineering"	0.263529
"electrical engineering"	0.251464
zoology	0.237928
"political science"	0.211126
"social work"	0.202976
biochemistry	0.201054
"environmental science"	0.195312
"computer science"	0.193797
"comparative literature"	0.186431
engineering	0.18544
"biological science"	0.180894
sociology	0.176664
meteorology	0.171503
microbiology	0.171125
Botany	0.170662
"physical education"	0.165676
"urban planning"	0.164573
anthropology	0.156144
"elementary education"	0.155394
"fine arts"	0.154713
geology	0.152969
ophthalmology	0.152337
"liberal arts"	0.150237
"social science"	0.147206
aeronautics	0.146412
criminology	0.141019
forestry	0.140929
horticulture	0.138862
"veterinary medicine"	0.138146
psychology	0.137269
pharmacology	0.136255
theology	0.134559
linguistics	0.133707
nursing	0.131018
mathematics	0.130499
biology	0.127149
"special education"	0.123478
Urology	0.122159
"molecular biology"	0.118113
astronomy	0.117118
physiology	0.117095
"preventive medicine"	0.115365
"natural science"	0.113144
"life science"	0.113056
radiology	0.112495
epidemiology	0.111151
economics	0.111003
dentistry	0.110365
pathology	0.109173
psychiatry	0.108853
neuroscience	0.108824
hydrology	0.108459
agronomy	0.108177
bioengineering	0.107327
"physical therapy"	0.106973
"computer programming"	0.105482
"nuclear physics"	0.105431
physics	0.105283
metallurgy	0.105104
dermatology	0.104275
"soil conservation"	0.103681
"city planning"	0.103425
obstetrics	0.101965
divinity	0.101787
shipbuilding	0.101783
"earth science"	0.10122
hydropower	0.100913
seismology	0.100662
Chemistry	0.100491
neurology	0.0989173
"building product"	0.098512
conservancy	0.0983202
"animal husbandry"	0.0982655
petrochemical	0.0968558
ecology	0.0926285
"medical science"	0.0921573
biophysics	0.0919528
consultancy	0.0917162
"fine art"	0.0912757
archeology	0.0898731
Journalism	0.0894765
Telecoms	0.0878531
"information system"	0.0877445
telecommunication	0.0873042
"interior design"	0.08636
landscaping	0.0861243
aviation	0.0860358
geography	0.0856969
astrophysics	0.0844562
archaeology	0.0842981
Pediatrics	0.083829
geophysics	0.0837253
entrepreneurship	0.0819682
agribusiness	0.0815092
oceanography	0.0812576
"public works"	0.0811044
desalination	0.0810813
aerospace	0.0808703
"political economy"	0.0803524
math	0.0796019
accounting	0.0794565
fishery	0.0791162
"high technology"	0.0789395
"electric power"	0.0784517
nutrition	0.0783867
carpentry	0.0779247
"flood control"	0.0776537
export-oriented	0.0774424
Microelectronics	0.0772852
husbandry	0.0758957
genetics	0.0754862
"artificial intelligence"	0.0754552
Cardiology	0.0753736
paleontology	0.0753487
mining	0.0752063
"information science"	0.0748925
electronics	0.0744338
"sewage disposal"	0.0742454
aquaculture	0.0740067
neurobiology	0.0739663
irrigation	0.0735413
"public utility"	0.0732829
petroleum	0.0729736
"social welfare"	0.0728643
reclamation	0.0726145
machine-building	0.0725194
oncology	0.0724281
refining	0.0717738
forecasting	0.0715063
accountancy	0.0714394
gynecology	0.0699128
"road construction"	0.0692905
Immunology	0.0692228
designing	0.0690389
warehousing	0.0683774
"building material"	0.0680288
beautification	0.0679639
pharmaceutical	0.0677031
retailing	0.0675382
Talmud	0.0669246
"information technology"	0.0668441
Pharmacy	0.0657794
"chemical industry"	0.0656316
"internal medicine"	0.0643361
afforestation	0.063673
electrification	0.0632494
"land development"	0.062887
logistics	0.0609754
"social assistance"	0.0609657
"data processing"	0.0606653
refrigeration	0.060497
sanitation	0.0602814
ergonomics	0.0599947
sewerage	0.0598465
catering	0.0590935
forwarding	0.0590388
telemedicine	0.0588549
gardening	0.058539
biotechnology	0.0584422
"central heating"	0.0584419
piloting	0.0580754
automation	0.0575121
Trucking	0.0572932
Anatomy	0.0572798
drainage	0.0570589
MBA	0.0569064
"Gorges Dam"	0.0566373
"higher education"	0.0564962
Ph.D	0.0563952
jurisprudence	0.0561112
"commercial law"	0.0559927
optic	0.0554545
"social service"	0.0553223
refurbishment	0.0552092
K-@@	0.0549798
commissioning	0.0549776
"Harvard Business School"	0.0548389
remediation	0.0546282
"investment banking"	0.0542094
"computer graphics"	0.0541485
"traffic control"	0.0539591
reinsurance	0.0539215
contracting	0.0536552
inpatient	0.0535759
"Yale Law School"	0.0529177
"specialty chemical"	0.0528173
geriatrics	0.0527396
"garbage disposal"	0.0523589
plumbing	0.0522335
Toxicology	0.0521877
Xiaolangdi	0.0521605
tailoring	0.0515751
"interior decoration"	0.0513586
reforestation	0.0508921
woodworking	0.0508042
Telecom	0.0506507
"Old Testament"	0.0505259
"R&AMP;D"	0.0505231
Livestock	0.0504968
))
("civil law" (desc 1906.15) (sims
"administrative law"	0.148229
"common law"	0.111502
"maritime law"	0.105582
"Criminal Procedure Law"	0.1023
"commercial law"	0.0990189
"criminal law"	0.0951795
cryptography	0.0768055
"patent right"	0.0714674
"Civil Rights Act"	0.0676746
"fire control"	0.0642726
"Disabilities Act"	0.063473
serfdom	0.0605193
"international law"	0.0587607
"Nationality Law"	0.0582118
"proportional representation"	0.0580497
"Reform Judaism"	0.0572463
jurisprudence	0.0570155
"Sino-British Joint Declaration"	0.0569902
"United Nations Charter"	0.0568999
"internal control"	0.0566064
"Endangered Species Act"	0.0563808
"Geneva convention"	0.0556868
"bankruptcy law"	0.055116
"Sino-Portuguese Joint Declaration"	0.0550295
"civil service"	0.0542829
phonics	0.0542523
"Community Reinvestment Act"	0.0538217
Talmud	0.0538005
Sharia	0.053214
"building code"	0.0529448
zoning	0.0520797
Etiquette	0.0516036
triage	0.0513586
Helms-Burton	0.0508983
"waiting game"	0.0504618
paternity	0.050265
bylaw	0.0502365
"subject area"	0.0498233
"collective security"	0.0486327
lawmaking	0.0484939
Shariah	0.0484853
"First Amendment"	0.0480962
"civil authority"	0.0480429
RIAA	0.0479236
"Title IX"	0.047425
"labor contract"	0.0471889
"medical science"	0.0468433
"garbage disposal"	0.0462799
plutocrat	0.0462556
neighborliness	0.046096
"Brooks Brothers"	0.0456853
"Clean Air Act"	0.0456691
libel	0.0456112
notary	0.0451065
"golden rule"	0.0450579
"quantum mechanics"	0.0445279
telemedicine	0.0444965
"Market system"	0.0442145
sociology	0.0442128
tort	0.0440824
"Joint Declaration"	0.0440813
"public transit"	0.0439133
yoga	0.0438694
THAAD	0.0436274
"market economy"	0.0435686
"civil liberty"	0.0435297
"veterinary medicine"	0.0434836
self-discipline	0.0434031
SDH	0.0430825
ABM	0.042785
"Clean Water Act"	0.0426348
"social insurance"	0.0424939
statesmen	0.0424694
localization	0.0423677
RICO	0.0421938
emachines	0.042002
"price support"	0.0418289
NMD	0.0415817
launderers	0.041542
comp	0.041537
GST	0.0415146
ISO@@@@	0.0414353
counterintelligence	0.041109
hydraulics	0.04105
ERISA	0.0408147
psychiatry	0.0406963
"power politics"	0.0403527
worksheet	0.0403006
))
("civil liberty" (desc 8238.95) (sims
"freedom of the press"	0.214684
"freedom of speech"	0.195061
"civil rights"	0.170419
"civil right"	0.162872
"freedom of religion"	0.161492
Privacy	0.149732
"First Amendment"	0.147059
"property right"	0.14309
freedom	0.142936
"human rights"	0.139755
"right to privacy"	0.139026
"rule of law"	0.127314
"human right"	0.127134
Liberty	0.125086
"legal right"	0.123145
"due process"	0.11312
"Second Amendment"	0.107063
dignity	0.104872
democracy	0.103125
"right to life"	0.0972041
pluralism	0.0956893
Abortion-rights	0.0948382
sovereignty	0.0925415
fairness	0.0913419
well-being	0.0911824
"free enterprise"	0.0894219
"quality of life"	0.0861429
integrity	0.0859428
equality	0.0854569
Copyright	0.0845541
sanctity	0.083896
self-determination	0.0832833
"security interest"	0.083114
IPR	0.0805286
"free trade"	0.078001
"private property"	0.0773002
confidentiality	0.0769086
secularism	0.0744044
humanitarianism	0.0735942
"patent right"	0.0716105
ethic	0.0714207
Openness	0.0713788
welfare	0.0713485
"international law"	0.0693353
privilege	0.0684211
democratization	0.0683319
"gun control"	0.0682855
"arms control"	0.0682305
diversity	0.0679345
"fundamental principle"	0.0676869
autonomy	0.0668023
federalism	0.0666389
ecology	0.0665047
stability	0.0664871
independence	0.0661999
"job security"	0.0658151
"equal opportunity"	0.0653896
"social welfare"	0.0649437
Arab-American	0.0647153
"public security"	0.0641428
governance	0.064
"ABM Treaty"	0.0638626
"attorney-client privilege"	0.0638014
civility	0.063683
"mental health"	0.0632175
prerogative	0.0628978
self-government	0.0619449
morality	0.0614953
transparency	0.0614725
"public trust"	0.0614392
decency	0.0612631
empowerment	0.0608202
preservation	0.060736
livelihood	0.0605421
religion	0.0604892
secrecy	0.0602928
"home rule"	0.0602747
"way of life"	0.0598326
fatherland	0.0596751
identity	0.0595679
"legal system"	0.0591683
"Fourth Amendment"	0.0590096
immigration	0.0589579
"religious belief"	0.058928
unity	0.0584265
Non-Proliferation	0.0582975
exclusivity	0.0579448
humanity	0.0576526
separation	0.0574536
wildlife	0.0573621
neutrality	0.0572293
"family planning"	0.057106
biodiversity	0.056739
legalization	0.0565625
ACLU	0.0562433
anonymity	0.0559421
"status quo"	0.0559302
heritage	0.0553075
"natural law"	0.0553049
soundness	0.0548333
censorship	0.0546786
fundamentalist	0.0546023
nonviolence	0.0544294
"labor union"	0.0540192
"white supremacy"	0.0538323
modesty	0.0533208
"antitrust law"	0.0529952
"intellectual property rights"	0.0526879
accountability	0.0526201
"legal status"	0.0521449
credibility	0.0519529
decorum	0.0518005
libel	0.0517469
"business interest"	0.0516603
"tobacco industry"	0.051349
"peace of mind"	0.0512553
conservation	0.0511872
Libertarian	0.0511464
"law enforcement"	0.0509415
wetlands	0.0505098
"capital punishment"	0.049813
nonproliferation	0.0498092
"juvenile delinquency"	0.0498068
philanthropy	0.0497651
survival	0.0496279
"trade policy"	0.0496222
"right to vote"	0.0494962
immunity	0.0494468
abortion	0.0493468
"Falun Gong"	0.0493107
tolerance	0.0492047
Islam	0.0491868
absolutes	0.0488902
Encryption	0.0484992
"trucking industry"	0.0479603
euthanasia	0.0478028
"welfare state"	0.0477594
"shareholder value"	0.0476839
solidarity	0.0476733
trademark	0.047532
amateurism	0.0474975
"farm worker"	0.0473012
patriotism	0.0472337
activism	0.0471171
dissent	0.0470928
"life style"	0.0469739
entrepreneurship	0.0469669
competitiveness	0.0469651
sanity	0.046946
ABM	0.0469053
bio-diversity	0.0468362
tranquillity	0.0468258
"Bill of Rights"	0.0467035
"public service"	0.0465442
"Islamic Jihad"	0.0463547
legitimacy	0.0463276
norm	0.0461861
literacy	0.0461496
sportsmanship	0.0459712
correctness	0.0459451
flexibility	0.0458442
"United Nations Charter"	0.0458056
leftist	0.045761
Greenpeace	0.0452728
viability	0.0452635
"legal principle"	0.045225
ratepayer	0.0452121
reunification	0.0451982
disability	0.0451917
conservatism	0.045143
"market reform"	0.045017
"sacred cow"	0.0449451
"space program"	0.0449023
"banking industry"	0.0448433
self-esteem	0.0448199
supremacy	0.0448082
masculinity	0.0446703
liberalism	0.0446165
decentralization	0.0445161
"social structure"	0.0445048
purity	0.0442783
"organized crime"	0.0442754
"day laborer"	0.0441938
advocacy	0.044176
"death penalty"	0.0441614
objectivity	0.0441394
emancipation	0.0441002
honesty	0.0440272
"American Civil Liberties Union"	0.0440015
conscience	0.0439377
internationalism	0.0439229
nutrition	0.0438109
prestige	0.0437654
monopoly	0.0437142
inheritance	0.0436523
"Amnesty International"	0.0435447
"civil law"	0.0435297
"small farmer"	0.0435214
multi-polarization	0.0434339
expediency	0.0433828
))
("civil right" (desc 20102.4) (sims
"civil rights"	0.301152
"civil liberty"	0.162872
"human rights"	0.142398
"human right"	0.140782
"freedom of speech"	0.12798
freedom	0.111219
"property right"	0.104898
"due process"	0.102653
equality	0.10124
Privacy	0.100331
"right to privacy"	0.0984563
"legal right"	0.0944196
democracy	0.089911
self-determination	0.0882011
"gun control"	0.0872044
Liberty	0.0850299
justice	0.0840654
"freedom of the press"	0.0833305
"right to life"	0.0816625
"First Amendment"	0.0795536
Copyright	0.0793561
dignity	0.0786344
empowerment	0.0776652
"right to vote"	0.0765408
"rule of law"	0.0741998
"free trade"	0.0729569
suffrage	0.0729392
protection	0.0727502
euthanasia	0.0716068
welfare	0.0706272
independence	0.0701416
education	0.068434
"equal opportunity"	0.0682389
fairness	0.0680296
citizenship	0.067934
"health care"	0.0673123
IPR	0.0667478
"Bill of Rights"	0.0657742
autonomy	0.0656372
emancipation	0.0654561
health	0.064839
"mental health"	0.0644882
"Title IX"	0.0638006
pluralism	0.0632558
"family planning"	0.062538
"quality of life"	0.0623635
tort	0.061704
"freedom of religion"	0.0606722
employment	0.0605866
ethic	0.0603698
decency	0.0598105
democratization	0.0596244
immigration	0.0595949
"Clean Water Act"	0.0595103
integrity	0.0594307
"patent right"	0.0593834
peace	0.0591141
livelihood	0.058677
labor	0.0585622
"minimum wage"	0.0584357
confidentiality	0.0583606
"social welfare"	0.0583039
"sexual harassment"	0.0581361
safety	0.0579339
privilege	0.0577781
governance	0.0576754
preservation	0.057412
"religious belief"	0.0571584
defamation	0.0566709
accountability	0.0564671
"Civil Rights Act"	0.0562587
sovereignty	0.056106
morality	0.0558353
decentralization	0.0558245
federalism	0.0557506
liberation	0.0548389
identity	0.0545647
forfeiture	0.0543804
"juvenile delinquency"	0.0543259
legalization	0.0542739
unity	0.0542453
statehood	0.0542415
solidarity	0.0540875
"living wage"	0.053615
"land reform"	0.0535098
"securities fraud"	0.0531779
"death penalty"	0.0531657
desegregation	0.0530317
conservation	0.05284
discrimination	0.052767
heritage	0.0524668
"arms control"	0.0523298
well-being	0.0522659
literacy	0.0521377
libel	0.0521333
tolerance	0.0512299
sanctity	0.0509365
reparation	0.0507989
diversity	0.0506217
abortion	0.0504911
"social security"	0.0504114
humanitarianism	0.0504105
nonviolence	0.0501949
advocacy	0.0501432
responsibility	0.0500336
"social service"	0.0497593
Openness	0.049594
social	0.049591
"health benefit"	0.0495328
"Fourth Amendment"	0.049336
"health insurance"	0.0493056
legislation	0.0491179
harassment	0.0491086
"Health and Human Services"	0.0490054
integration	0.0489683
"civil rights leader"	0.0488483
"job security"	0.0487467
segregation	0.0485844
mistreatment	0.0483294
"capital punishment"	0.0482077
deregulation	0.0479792
racketeering	0.047753
ecology	0.047659
immunity	0.0476397
disarmament	0.0473195
misconduct	0.0472291
nonproliferation	0.0469746
"criminal law"	0.0467027
"way of life"	0.0465598
Gay	0.0464392
"foreign policy"	0.0463456
"civil disobedience"	0.0461941
slavery	0.0460093
"medical care"	0.0458416
Non-Proliferation	0.0457674
"Endangered Species Act"	0.0455988
"public security"	0.0455247
religion	0.0454948
"mail fraud"	0.0453442
"health service"	0.045334
homosexuality	0.0452499
reunification	0.0452475
"breach of contract"	0.0451845
reconciliation	0.0451455
schooling	0.0451014
ideal	0.0447579
"money laundering"	0.0446843
"insider trading"	0.0445906
Sharia	0.0445498
eradication	0.0444261
"defense policy"	0.0443171
gender	0.0443029
grassroot	0.0440267
"legal system"	0.0439719
brutality	0.0439056
whistleblower	0.0438888
wage	0.0438594
"ABM Treaty"	0.0438258
"Islamic Jihad"	0.0438173
survival	0.0437013
"antitrust law"	0.0436528
ACLU	0.0432923
voucher	0.0432349
Housing	0.0431628
self-government	0.0430775
"public service"	0.0430485
"home rule"	0.0429857
"labor union"	0.0427744
activism	0.0427309
"safety standard"	0.0425909
"Clean Air Act"	0.0425276
"child abuse"	0.042517
separation	0.042479
nationality	0.0422348
malpractice	0.0421823
sodomy	0.0421655
transparency	0.0421336
"fundamental principle"	0.0421068
EEOC	0.0420962
"trade union"	0.0420924
legitimacy	0.0418936
representation	0.0416376
pension	0.0415721
Kurdish	0.0415602
"invasion of privacy"	0.0415583
"international law"	0.0415072
constitution	0.0414963
modernization	0.0414852
"law enforcement"	0.0413814
minority	0.0413097
perjury	0.0412221
impartiality	0.0411838
accreditation	0.0409551
"trade secret"	0.0409504
self-esteem	0.0409116
prevention	0.0408664
faith	0.0408504
Liberalization	0.0408488
humanity	0.0407286
enforcement	0.0407199
))
("civil rights" (desc 17956.3) (sims
"civil right"	0.301152
"civil liberty"	0.170419
"human rights"	0.166126
"human right"	0.150482
"freedom of speech"	0.135452
"gun control"	0.120191
"property right"	0.11494
Privacy	0.113019
"First Amendment"	0.112911
equality	0.112405
Abortion-rights	0.104025
suffrage	0.103071
freedom	0.0998056
"legal right"	0.0946733
"right to privacy"	0.0943771
"right to life"	0.0941574
"freedom of the press"	0.0941057
"due process"	0.0937086
empowerment	0.0915606
democracy	0.0914174
"health care"	0.0911788
"equal opportunity"	0.0910702
IPR	0.0901993
"family planning"	0.0900861
"rule of law"	0.0898637
"free trade"	0.0894829
immigration	0.0892441
"freedom of religion"	0.0884643
tort	0.0884244
"mental health"	0.0876703
"death penalty"	0.0874863
Copyright	0.0870804
welfare	0.0868104
"living wage"	0.0864019
self-determination	0.0852512
Liberty	0.0850108
"quality of life"	0.0847488
fairness	0.0837698
education	0.0833376
"Bill of Rights"	0.0823032
euthanasia	0.0818225
"capital punishment"	0.081441
abortion	0.0814171
desegregation	0.0807038
RICO	0.0805749
"social welfare"	0.0796678
protection	0.0793094
reform	0.0779576
independence	0.0771648
dignity	0.0751526
"home rule"	0.0740412
safety	0.0738985
emancipation	0.0732726
segregation	0.0732624
"arms control"	0.073128
health	0.0730345
"Fourth Amendment"	0.0727531
"minimum wage"	0.0727409
voucher	0.0726927
labor	0.0718244
"Title IX"	0.0707969
employment	0.0703099
justice	0.069957
ethic	0.0697286
sovereignty	0.069083
"Clean Water Act"	0.0686265
diversity	0.0685394
statehood	0.0676974
"social security"	0.0669056
privilege	0.0664577
federalism	0.0662462
"Civil Rights Act"	0.06595
discrimination	0.0656343
security	0.0654227
"Second Amendment"	0.0651881
democratization	0.0648741
disarmament	0.06463
environment	0.0645732
ordination	0.0644409
"foreign policy"	0.0642677
"civil rights leader"	0.0640792
governance	0.0638729
preservation	0.0637094
"patent right"	0.0634807
liberation	0.0634271
grassroot	0.0633628
"sexual harassment"	0.0633232
literacy	0.062516
confidentiality	0.0623066
well-being	0.0622332
enforcement	0.0621193
morality	0.0620236
"land reform"	0.0609601
Helms-Burton	0.0607303
forfeiture	0.0604196
racketeering	0.0604173
"right to vote"	0.0602826
conservation	0.0599914
"public security"	0.0597718
"administrative law"	0.0595282
"population control"	0.059245
"social service"	0.0592194
deregulation	0.0592107
peace	0.0587497
"tax cut"	0.0587177
"labor union"	0.0587013
Non-Proliferation	0.0586749
"securities fraud"	0.0584727
identity	0.0581713
abolition	0.0581522
autonomy	0.0579416
religion	0.0576257
Kashmiri	0.0574266
"child abuse"	0.0572214
libel	0.0571647
legislation	0.0571582
"health insurance"	0.0570704
citizenship	0.0570348
decentralization	0.0568355
"job security"	0.0567705
Kurdish	0.0565982
"insider trading"	0.0565378
slavery	0.0563534
EEOC	0.0563211
whistleblower	0.0563015
representation	0.0561691
reunification	0.0561157
PNTR	0.0560597
integrity	0.055756
legalization	0.05566
sanctity	0.0556585
Ada	0.0555849
"legal status"	0.0554527
"money laundering"	0.0553267
livelihood	0.0552548
Watergate	0.0546114
nonproliferation	0.0545353
minority	0.0542905
pluralism	0.0540467
disability	0.0534552
gender	0.0534478
nationality	0.053392
paternity	0.053326
"public service"	0.0532014
secession	0.0529137
terrorism	0.0527632
"international law"	0.0527491
harassment	0.0525522
Gay	0.0524033
ACLU	0.0523589
repatriation	0.0523564
"Proposition @@@"	0.0523562
"attorney-client privilege"	0.0521311
accountability	0.0520481
preparedness	0.0519026
integration	0.0518617
self-government	0.0518117
reparation	0.0517943
secularism	0.0517139
censorship	0.0516887
piracy	0.0514622
separation	0.0514422
Liberalization	0.0513126
"Endangered Species Act"	0.0512991
funding	0.0512959
taxation	0.0510938
schooling	0.0510405
social	0.0509951
immunity	0.0507825
pension	0.050599
"child care"	0.0505808
ecology	0.0505456
"antitrust law"	0.0504435
racism	0.0504327
participation	0.0501243
"trade bill"	0.0500662
survival	0.0500431
"free enterprise"	0.0500254
gambling	0.0500123
"tax policy"	0.0499086
"law enforcement"	0.0498879
mujahedeen	0.0498013
asylum	0.0496918
humanitarianism	0.0496865
Sharia	0.0495514
tolerance	0.0495213
high-profile	0.0494946
globalization	0.0494867
reconciliation	0.0491922
Tiananmen	0.0491884
unity	0.0491689
transparency	0.0491444
moral	0.0491286
malpractice	0.0490636
"economic policy"	0.0488989
"Proposition @@"	0.0488918
constitution	0.0488498
"breast implant"	0.0488093
self-rule	0.0486772
espionage	0.0486605
))
("Civil Rights Act" (desc 1660.47) (sims
"Voting Rights Act"	0.301861
"Telecommunications Act"	0.263802
"Clean Water Act"	0.231249
"Clean Air Act"	0.217776
"Community Reinvestment Act"	0.196843
"Balanced Budget Act"	0.174384
"Anti-Ballistic Missile Treaty"	0.166342
"Helms-Burton Act"	0.165104
"bankruptcy law"	0.15579
"ABM Treaty"	0.150535
"Title VII"	0.14876
"Proposition @"	0.147192
"Antiquities Act"	0.146383
"Endangered Species Act"	0.140659
Shays-Meehan	0.135767
"trade bill"	0.133894
"Oslo Accords"	0.13298
"Geneva convention"	0.127418
"Title IX"	0.126852
"Disabilities Act"	0.126246
Ordinance	0.124534
"Lusaka Peace Accord"	0.124235
"penal code"	0.121732
"organic law"	0.117343
"Proposition @@"	0.117294
"criminal law"	0.116378
bylaw	0.114926
"commercial law"	0.113148
"Fourth Amendment"	0.110561
"U.S. Constitution"	0.110133
"antitrust law"	0.104835
"U.N. Resolution @@@"	0.104774
"Vienna Convention"	0.103795
"North American Free Trade Agreement"	0.102342
Helms-Burton	0.100898
"Proposition @@@"	0.100048
Ada	0.0970376
statute	0.0960973
"European Convention"	0.0956597
"tax bill"	0.0948994
"Oslo Accord"	0.0941303
"tax change"	0.0934728
"Criminal Procedure Law"	0.0905544
"Bill of Rights"	0.0900352
NAFTA	0.0893065
"Kyoto Protocol"	0.0891292
"Article @"	0.0890853
PNTR	0.0886373
"right to privacy"	0.0881272
"abortion law"	0.0845238
"Sino-British Joint Declaration"	0.0809192
Shariah	0.0806221
ERISA	0.0804495
"labor contract"	0.0796341
"Article @@@"	0.0792929
"Georges Bank"	0.0790393
"Lusaka Protocol"	0.0781066
armistice	0.0767686
"patent right"	0.0757347
"First Amendment"	0.0756679
ABM	0.0754676
"building code"	0.0753123
"trade agreement"	0.0747447
"Maastricht Treaty"	0.0746029
"Six Day War"	0.0745906
"United Nations Convention"	0.0733293
"maritime law"	0.0729139
"counsel law"	0.0728228
"law of nature"	0.0728109
covenant	0.0702839
"labor agreement"	0.0702795
"Erie Canal"	0.0690129
"No. @@@@"	0.0687733
"rule of evidence"	0.068569
"compromise plan"	0.0680288
"United Nations Charter"	0.0678569
"civil law"	0.0676746
"civil rights"	0.06595
"Resolution @@@"	0.0658966
"highway system"	0.0654968
zoning	0.065408
"Article @@"	0.0653807
"U.N. Security Council Resolution @@@"	0.0650393
"trade embargo"	0.064915
"International Covenant"	0.0627977
Colosseum	0.0622061
"permanent normal trade relations"	0.0618183
"START II"	0.0608269
"Montreal Protocol"	0.0606113
"administrative law"	0.0605231
Sharia	0.0601948
"Nuclear Non-Proliferation Treaty"	0.0597025
"U.N. Convention"	0.0586251
TAAS	0.0584774
"Basic Law"	0.0578384
tort	0.0576829
I-@@@	0.0575265
"employment contract"	0.0573416
"Section @"	0.0573378
"Winning Colors"	0.0570159
VFA	0.056455
Bathhouse	0.0562168
NPT	0.0561168
"Health Insurance Program"	0.0543264
edict	0.0543197
"second and third quarters"	0.053953
"Self-Defense Forces"	0.0535789
"sphere of influence"	0.053567
"educational activity"	0.0532827
conflagration	0.0532533
"Israeli Knesset"	0.0532436
Koran	0.0529601
"Revised Version"	0.0527501
"fundamental principle"	0.0523342
labeling	0.0519773
"Comprehensive Test Ban Treaty"	0.0517801
"attorney-client privilege"	0.0516794
"Arab-Israeli War"	0.0516449
"finding of fact"	0.0513926
"tax increase"	0.0513429
"safety standard"	0.0513077
"Spanish-American War"	0.0513
"benefit program"	0.0511798
"freedom of religion"	0.0508086
"intellectual property rights"	0.0504723
"UN Charter"	0.0502327
IPR	0.050023
"U.N. Charter"	0.0498937
"first eleven months"	0.0496371
finds	0.049486
reapportionment	0.0494576
Truism	0.0492284
lynching	0.0491595
"legal principle"	0.0491236
"code of conduct"	0.0489754
"NL Rookie"	0.0485227
Rhodesia	0.0482841
"Islamic Revolution"	0.0482188
Reauthorization	0.0481586
"Consumer Product Safety Commission"	0.0481132
"Fifth Amendment"	0.0481078
Koehler	0.0480946
"Nagano Winter Olympics"	0.0479961
"Summer Olympic Games"	0.0476029
"freedom of speech"	0.0475327
"International Convention"	0.0472445
CITES	0.0472006
"licensing agreement"	0.0470158
Arabia	0.0467664
"Liberation Front"	0.0463435
"service contract"	0.0460716
"first two quarters"	0.0459785
nearing	0.0459237
"Parades Commission"	0.0453226
"legal code"	0.0453041
Spring/Summer	0.0450928
"public trust"	0.0450197
precept	0.0447435
"freshman class"	0.0443229
"Health Care Financing Administration"	0.0441834
McGreevey	0.0441487
"freedom of the press"	0.0441346
Mesopotamia	0.0440302
"economic theory"	0.0440191
Longo	0.0439922
"customs union"	0.0438776
"two pitchers"	0.043846
"law of the land"	0.0438091
"Earth Summit"	0.0438053
"Second Amendment"	0.0437954
"Texas Senate"	0.0437024
"Union Station"	0.0436368
caldron	0.0435172
schism	0.0434245
"Civic Democratic Party"	0.043338
easement	0.0432882
"rating system"	0.0432718
"standard operating procedure"	0.043173
"General Committee"	0.0431451
"spending cut"	0.0430988
"Oxford University Press"	0.0430776
"computer code"	0.0428765
NTR	0.0427949
"Holy Year"	0.0426981
Athenian	0.0426604
"European Union's"	0.0423141
Sandinistas	0.0422916
Holl	0.0422786
"trade route"	0.0422158
"Charles Haley"	0.042202
"Environmental Protection"	0.0421853
yearbook	0.0421519
"Declaration of Independence"	0.0420976
"Chevrolet Monte Carlo"	0.0420497
Scandinavian	0.0420309
"first five days"	0.0418919
"First @ Months"	0.0416791
forfeiture	0.0416461
nunnery	0.0415813
"tax bracket"	0.0415182
))
("civil rights leader" (desc 10033.7) (sims
"Martin Luther King Jr."	0.127553
"Robert F. Kennedy"	0.124759
activist	0.123249
"labor leader"	0.119664
"Yitzhak Rabin"	0.11656
"civic leader"	0.109314
"religious leader"	0.106012
Hajdari	0.103678
"newspaper editor"	0.10357
"Rajiv Gandhi"	0.101426
"Martin Luther King"	0.0981831
"Malcolm X"	0.0966776
"business leader"	0.0963527
Rabin	0.0940094
preacher	0.091062
"government officials"	0.0906314
environmentalist	0.0881811
"political leader"	0.0872397
educator	0.0855221
politician	0.0823213
"Robert Kennedy"	0.0818092
intellectual	0.0812205
"queen mother"	0.0806923
"Galina Starovoitova"	0.0802761
rabbi	0.0802323
jurist	0.0798961
cleric	0.0798874
philanthropist	0.0796897
advocate	0.079274
Starovoitova	0.0792243
journalist	0.0786968
statesman	0.0783863
clergy	0.0782924
Gandhi	0.0778876
"state senator"	0.0778464
congressmen	0.0763179
"economic expert"	0.0761424
academic	0.0760857
"business executive"	0.0754629
Industrialist	0.0752922
"elected official"	0.0751457
"Ron Brown"	0.0748641
poet	0.0748509
"Medgar Evers"	0.0746147
statesmen	0.0746139
feminist	0.0746041
clergymen	0.0745202
Congressman	0.0743448
campaigner	0.0742186
dissident	0.074215
criminologists	0.073602
"social scientist"	0.073459
"legal expert"	0.0734413
"trade unionist"	0.0731489
Borrego	0.0725748
leftist	0.0725522
ethicists	0.0723479
Italian-Americans	0.0720597
parliamentarian	0.0719493
councilwoman	0.0716518
clergyman	0.0715314
RFK	0.0707146
Nkabinde	0.0706044
"Indira Gandhi"	0.0700607
"social worker"	0.0697283
theologian	0.0697231
"newspaper publisher"	0.0694636
Libertarian	0.0694235
Aquino	0.0693888
"labor union"	0.0689903
Playwright	0.0688188
bishop	0.0687453
"Lawton Chiles"	0.068439
"military officer"	0.0681966
cabinetmaker	0.0680091
legislator	0.0679329
"army officer"	0.0676722
conservationist	0.0676072
"Jesse Jackson"	0.0675822
lawmaker	0.0675241
"farm worker"	0.0674458
Guterres	0.0672145
"Al Sharpton"	0.0671155
diplomat	0.0670828
philosopher	0.0669231
"church member"	0.0669094
businessman	0.0666519
financier	0.0663484
"mail carrier"	0.065927
"fashion designer"	0.0654886
"John F. Kennedy"	0.0649511
"corporate executive"	0.0649126
Guerin	0.0648337
scholar	0.0647511
Hani	0.0644863
Bellush	0.0643537
"school superintendent"	0.0643391
tycoon	0.0643238
"Confederate soldier"	0.0642553
pastor	0.0641391
Slepian	0.0641028
"civil rights"	0.0640792
Selena	0.0639218
banker	0.0638822
Sharpton	0.0637937
"Abraham Lincoln"	0.0636835
officeholder	0.0635509
atheist	0.0634835
"cabinet member"	0.0632622
Dahmer	0.063051
"cabinet minister"	0.0628903
priest	0.062725
"military leader"	0.0626163
evangelist	0.0621488
commentator	0.0620541
"King Hussein"	0.0618646
"Kim Il Sung"	0.0616257
Goldwater	0.0611954
"Jia Qinglin"	0.0610979
"Congressional Black Caucus"	0.0610562
sociologist	0.0608068
sportswriter	0.0607769
Councilman	0.0606955
aviator	0.0602126
Muhammad	0.0599301
Beye	0.0598864
Councilors	0.0596978
Imam	0.0595115
PFC	0.0594078
pediatrician	0.0593096
"coal miner"	0.0592242
Coverdell	0.0590369
Merritt	0.0590224
Meguid	0.0588424
"real estate developer"	0.0587897
obstetrician	0.0586508
"foreign service officer"	0.0583382
academician	0.0580926
nun	0.0580416
"trial lawyer"	0.0578
landowner	0.0575198
"enlisted man"	0.0575139
"tax collector"	0.0573163
"founding father"	0.0572495
worshiper	0.0572446
"Tupac Shakur"	0.0572409
"faculty member"	0.0571927
historian	0.0571829
novelist	0.0571528
"Rosa Parks"	0.0570768
"political prisoner"	0.0570297
Sadat	0.0570036
Cuban-Americans	0.0569985
protestor	0.0568654
achiever	0.0567895
"Secretary General Esmat Abdul-Meguid"	0.056773
"police officer"	0.0566771
"Protestant denomination"	0.0566493
krueger	0.0566415
psychologist	0.0566293
"John Lennon"	0.0566183
"AIDS activist"	0.0564554
dignitary	0.05641
reformer	0.0563864
"Anti-Defamation League"	0.0562608
grocer	0.0562396
"funeral director"	0.0560376
Sakakibara	0.0559711
"school principal"	0.0559266
physicist	0.0557108
musician	0.0556905
mailman	0.0556747
lawmen	0.0554749
monk	0.0553992
Daley	0.0552874
"pressure group"	0.0552647
NAACP	0.0552627
businessmen	0.0552617
"college student"	0.0552286
Allende	0.0551924
"Andrew Young"	0.0551515
Deng	0.0551427
architect	0.0551278
"car dealer"	0.0551017
Buddha	0.0550538
"foreign officials"	0.054674
"interest group"	0.0546685
missionary	0.0546484
"William Daley"	0.0546357
businesspeople	0.0546105
elder	0.0544992
Stoyanov	0.0544859
airmen	0.0544706
policeman	0.054439
Byrdsong	0.0541064
educationist	0.0539233
"world leader"	0.053915
Archbishop	0.05383
Bulatovic	0.0538252
D'Alessandro	0.0538238
))
("civil servant" (desc 36655.2) (sims
"public servant"	0.209474
worker	0.149107
employee	0.146074
teacher	0.134868
"military personnel"	0.134784
personnel	0.130641
"civil service"	0.1257
"military officer"	0.122766
businessmen	0.122361
"government officials"	0.121128
"army officer"	0.117608
officer	0.117364
cadre	0.116701
nurse	0.116002
"police officer"	0.113234
laborer	0.111589
bureaucrat	0.111568
official	0.110689
farmer	0.110187
miner	0.110149
citizen	0.109401
pensioner	0.108984
functionary	0.108675
technician	0.108262
journalist	0.106769
doctor	0.106115
"staff member"	0.10562
servicemen	0.104657
reservist	0.103819
retiree	0.103265
"university student"	0.103231
policemen	0.102339
educator	0.102307
Procurator	0.101445
professional	0.101252
member	0.10098
"business leader"	0.100824
"business executive"	0.100673
administrator	0.0998345
volunteer	0.0996635
"cabinet minister"	0.0996328
diplomat	0.0992063
"management personnel"	0.0991243
pilot	0.0967277
parliamentarian	0.096391
staffer	0.0962628
"coal miner"	0.0959759
Industrialist	0.0958024
soldier	0.0957645
engineer	0.0955328
student	0.0954299
businesspeople	0.0947888
banker	0.0947699
"faculty member"	0.0946794
"union member"	0.0945265
resident	0.0944068
entrepreneur	0.0940483
scientist	0.0940396
"flight attendant"	0.0929368
staff	0.0926592
"elected official"	0.0919258
"factory worker"	0.091522
firefighters	0.091472
janitor	0.0910276
legislator	0.0908972
"college student"	0.0901475
"farm worker"	0.0899156
trucker	0.0897226
politician	0.0895243
villager	0.0874562
foreigner	0.0863286
athlete	0.0859389
academic	0.0859288
academician	0.0859104
"Sri Lankans"	0.0858403
individual	0.0857706
"truck driver"	0.0848464
"trade union"	0.0847797
lawmaker	0.0845802
"religious leader"	0.0844238
contractor	0.0838463
"policy maker"	0.0834348
clergy	0.0833722
civilian	0.0833511
"social worker"	0.0832725
physician	0.0830942
"school teacher"	0.082513
expert	0.0821584
inspector	0.0821452
accountant	0.0820188
police	0.0813897
"prison guard"	0.0809655
"skilled worker"	0.0807929
"bus driver"	0.0806773
"union worker"	0.0801414
executive	0.0800733
"military man"	0.07964
Filipino	0.0795506
"senior citizen"	0.0795157
tourist	0.0793537
scholar	0.0792296
attendant	0.0791263
dignitary	0.0787857
laid-offs	0.0785441
lawyer	0.0784553
inmate	0.0778228
"legal expert"	0.0776464
"political leader"	0.0776231
"labor leader"	0.0773783
Fishermen	0.0773112
activist	0.077242
"temporary worker"	0.0772098
Zimbabwean	0.077171
Chinese	0.0771019
statesmen	0.0768165
trainee	0.0766654
trader	0.0763559
Ugandan	0.0761662
Tibetans	0.0761591
enterprise	0.0757234
representative	0.075539
Workers	0.0754067
operator	0.0754006
deputy	0.0751574
manager	0.0751537
observer	0.075129
Programmer	0.0750701
applicant	0.0750477
peacekeeper	0.0750125
migrant	0.0749269
immigrant	0.0749114
government	0.0748736
graduate	0.0748415
"top executive"	0.074802
Liberian	0.0746372
"business community"	0.0745006
Magistrate	0.0741714
"military leader"	0.0741494
settler	0.0740191
pupil	0.0739553
expatriate	0.0737151
practitioner	0.0737114
"council member"	0.0736736
"economic expert"	0.0735378
counselor	0.0735193
clerk	0.073491
schoolchildren	0.0734237
employer	0.0730174
judge	0.0728606
MP	0.0727658
"labor union"	0.0727313
armymen	0.0724358
"foreign officials"	0.0722201
landowner	0.0721528
"local government"	0.0721238
recipient	0.0720565
"political party"	0.072041
missionary	0.0719716
priest	0.0718352
controller	0.0717302
supervisor	0.0716919
veteran	0.0716726
"Sierra Leonean"	0.0716103
orphan	0.0715506
"security guard"	0.0715326
driver	0.0714433
"department head"	0.0714385
VMs	0.0711235
"air force officer"	0.0711025
institution	0.0709549
clergymen	0.0708125
mercenary	0.0707102
participant	0.0705116
youth	0.0704843
machinist	0.0704574
woman	0.0703732
delegate	0.0702657
troop	0.0702585
Mozambican	0.0702317
peasant	0.0701619
intellectual	0.0701355
Judiciary	0.0700191
medic	0.0699975
enumerators	0.0699537
lobbyist	0.0699147
"fire fighter"	0.0697212
sailor	0.0696504
principal	0.0695626
specialist	0.069556
refugee	0.0694449
appointee	0.0692472
Nigerian	0.0692038
leader	0.0691846
soliders	0.0691038
firemen	0.0689068
prisoner	0.0688868
seamen	0.0687908
taxpayer	0.0687317
"health professional"	0.0686909
military	0.0685721
))
("civil service" (desc 14927.3) (sims
"public service"	0.143088
Judiciary	0.130884
"civil servant"	0.1257
"tax system"	0.113703
"police force"	0.109492
"legal system"	0.10212
"banking system"	0.0971698
"monetary system"	0.0959065
"banking industry"	0.095414
"social welfare"	0.0933359
"economic system"	0.0929258
"armed forces"	0.0913202
"state enterprise"	0.0887772
"labor market"	0.0863085
bureaucracy	0.085795
sector	0.0857931
"social service"	0.0823858
workforce	0.0818249
military	0.0810457
governance	0.0793498
management	0.0790712
"political system"	0.0772374
"public security"	0.0771772
"coal industry"	0.0759655
"labor force"	0.075926
"distribution system"	0.075742
"health service"	0.0753866
"law enforcement"	0.0751649
"higher education"	0.0746917
administration	0.0746275
institution	0.0743363
"public servant"	0.0743139
"tax collection"	0.0736035
"work force"	0.0732329
"electoral system"	0.0728808
"Home Affairs"	0.0720027
agriculture	0.071764
education	0.0707184
"rule of law"	0.0700853
"armed service"	0.0698365
"local government"	0.069352
banking	0.069222
"legislative council"	0.0689067
enterprise	0.0688587
army	0.0683997
taxation	0.0682434
parastatals	0.0660081
"construction industry"	0.0659912
ministry	0.0654666
manufacturing	0.0651277
"investment climate"	0.065064
infrastructure	0.064531
"film industry"	0.0639396
"Trade and Industry"	0.0630644
PLA	0.0629195
custom	0.0620679
SOE	0.0618024
employment	0.0617608
"welfare state"	0.0614082
"secondary education"	0.0605328
"postal service"	0.0604269
"health care"	0.0601186
"land reform"	0.0600926
macro-economy	0.0600434
environment	0.060027
aviation	0.0599891
SOEs	0.0598638
"state-owned enterprises"	0.0597146
"elephant population"	0.0593707
"secondary school"	0.0592964
"economic policy"	0.0592388
localization	0.0592011
procurement	0.0590687
tourism	0.0590242
"property right"	0.0588385
"civil defense"	0.0587522
"minimum wage"	0.0586258
"industrial enterprise"	0.0585839
"railway system"	0.0584212
"school system"	0.0583391
cabinet	0.0580676
"insurance market"	0.0577581
decentralization	0.0575863
"social security"	0.0575216
"family planning"	0.0573602
"social insurance"	0.0573511
"executive branch"	0.056769
"customs service"	0.0567616
"Human Rights Commission"	0.0567102
"Royal Ulster Constabulary"	0.0566892
"business sector"	0.056593
"Court of Final Appeal"	0.0565198
social	0.0564951
"public transport"	0.0560396
"power grid"	0.0560105
Privatization	0.0555522
legislature	0.0555043
"information technology"	0.0553132
"decision making"	0.0552726
supervision	0.0550353
Housing	0.055008
"securities industry"	0.0549151
"Immigration Department"	0.0546951
"public works"	0.0546533
Manpower	0.0546479
logistics	0.0544166
"business community"	0.0543363
"entertainment industry"	0.0543032
"civil law"	0.0542829
medicare	0.054281
"educational institution"	0.0542592
mining	0.0541666
pension	0.0540433
"police department"	0.0540404
"security force"	0.0536354
sanitation	0.0534986
"communication network"	0.0534597
apparatus	0.0533993
forestry	0.053393
procuratorates	0.0532658
academia	0.0530192
IRS	0.0529108
telecommunication	0.0528521
"public utility"	0.0528213
"diplomatic corps"	0.0526378
transportation	0.0524326
"balance of payments"	0.0521808
"fire control"	0.0521062
financing	0.0519941
personnel	0.0519771
"Ministry of Health"	0.0514673
"political party"	0.0513623
zoning	0.0513155
welfare	0.0513097
organ	0.0512878
"securities market"	0.0512108
organisation	0.051062
"public school"	0.0509088
chaebol	0.0507492
"Peace Corps"	0.0506081
"Market system"	0.0503633
"chemical industry"	0.0502782
bureaus	0.0502462
"water supply"	0.0501971
"social group"	0.0500929
"fire brigade"	0.0499966
"financial institution"	0.0499174
"National Guard"	0.0498619
utilization	0.0498097
labour	0.0496117
"pricing system"	0.0495018
"central bank"	0.0494981
Procurator	0.0491433
"military force"	0.0491294
"trade policy"	0.0490741
"oil production"	0.048946
"oil industry"	0.0489301
"crime rate"	0.0486994
IPR	0.0486207
"population control"	0.0485418
"vocational education"	0.0484437
"medical institution"	0.0484162
"human rights"	0.0482973
democratization	0.0482277
healthcare	0.0478486
"federal government"	0.0478372
"world economy"	0.0478109
"Olympic Committee"	0.0477397
maintenance	0.0477016
mechanism	0.047597
workplace	0.0475173
UNRWA	0.0473598
refining	0.0472194
Customs	0.0469826
tariff	0.0468409
"transportation system"	0.0467541
"tax rate"	0.0464755
immigration	0.0463909
"secret service"	0.0463846
Majlis	0.0462906
entitlement	0.0462732
"military police"	0.046182
"school district"	0.0461448
broadcasting	0.0461118
"foreign policy"	0.0460823
conglomerate	0.0460457
"Provisional Legislative Council"	0.0459761
"defense policy"	0.0457817
"legal profession"	0.045581
"social organization"	0.0454071
armament	0.0453671
funding	0.0452947
"social system"	0.0452758
cooperative	0.0452053
"budget deficit"	0.0450758
enforcement	0.0450688
subsector	0.0449646
"management personnel"	0.0449549
distribution	0.0448829
"civil rights"	0.044738
))
("civil war" (desc 101440) (sims
war	0.25604
conflict	0.241751
fighting	0.186443
strife	0.158727
crisis	0.15149
insurgency	0.147802
violence	0.143481
"World War II"	0.14322
unrest	0.141066
bloodshed	0.139795
turmoil	0.137845
rebellion	0.13567
clash	0.130478
"Korean War"	0.12839
famine	0.127879
battle	0.127799
"economic crisis"	0.12697
warfare	0.125609
confrontation	0.12338
riot	0.122597
recession	0.121704
instability	0.119648
drought	0.118718
struggle	0.118196
"World War I"	0.116584
uprising	0.114314
hostility	0.114274
upheaval	0.113211
"Vietnam War"	0.110706
anarchy	0.109631
chaos	0.109493
feud	0.108315
flood	0.107481
disaster	0.107068
dispute	0.106406
rioting	0.105478
occupation	0.104901
invasion	0.104056
bombing	0.104008
"Cold War"	0.103673
"Iran-Iraq War"	0.103362
crises	0.102185
standoff	0.101984
coup	0.101658
scandal	0.100612
genocide	0.10004
dictatorship	0.0987439
epidemic	0.0964419
"Revolutionary War"	0.0962021
crackdown	0.0958832
massacre	0.0958331
revolt	0.0948014
tension	0.0946948
strike	0.0943359
controversy	0.0935922
poverty	0.0929018
catastrophe	0.0928808
"world war"	0.0924946
"labor dispute"	0.092302
attack	0.0918897
offensive	0.0912014
collapse	0.0901011
lawlessness	0.0900765
earthquake	0.0899684
revolution	0.0891949
"military campaign"	0.0885864
rivalry	0.0885799
tragedy	0.0881286
"Persian Gulf War"	0.0876349
stalemate	0.0874132
holocaust	0.0864025
Depression	0.0863422
fight	0.0857036
firefight	0.0856821
slump	0.0849581
repression	0.0829432
"Cultural Revolution"	0.0826157
combat	0.0824804
"price war"	0.0811626
"arms race"	0.0810965
insurrection	0.0804909
process	0.0796694
disintegration	0.0796249
"Second World War"	0.0792994
raid	0.0792363
downturn	0.0791035
embargo	0.0782294
storm	0.0780633
bombardment	0.0779616
"Hurricane Mitch"	0.0777715
hyperinflation	0.0773028
calamity	0.0771237
starvation	0.0760584
situation	0.0759564
skirmish	0.0759017
debate	0.0757658
"forest fire"	0.0752611
sanction	0.0751946
terrorism	0.0750251
shortage	0.0749424
impasse	0.0747368
aggression	0.0745216
cease-fire	0.0744078
ordeal	0.0740209
"takeover battle"	0.0739569
deadlock	0.0737758
turbulence	0.0736652
peace	0.0735272
campaign	0.0733576
insecurity	0.0730589
"military action"	0.07289
incident	0.0728339
brawl	0.0723601
outbreak	0.0722875
lockout	0.0721236
hardship	0.0720512
mutiny	0.0720147
fire	0.0718704
killing	0.0713887
explosion	0.0711882
cleansing	0.0710679
protest	0.0707011
reign	0.0705909
oppression	0.0705533
shelling	0.0703902
bloodletting	0.0699896
airstrikes	0.0699875
gunbattle	0.0699269
hurricane	0.0699069
regime	0.0694107
conflagration	0.069347
blaze	0.0689386
Quake	0.0686018
slaughter	0.0685535
breakup	0.0685052
rebel	0.0685013
accident	0.0684238
crash	0.0681235
election	0.0679937
bloodbath	0.0677079
stagnation	0.0675994
"heat wave"	0.0675435
movement	0.0673321
litigation	0.0670538
devastation	0.067021
problem	0.0669884
intervention	0.0667284
negotiation	0.0666023
assault	0.066582
divorce	0.0665531
wildfire	0.0665149
meltdown	0.0664527
eruption	0.066323
trouble	0.0660938
operation	0.0659426
corruption	0.0655605
slavery	0.0654653
apartheid	0.0648862
hatred	0.0648011
assassination	0.0647035
reconstruction	0.0644594
terror	0.0642909
ceasefire	0.0641351
era	0.0641004
abuse	0.0640635
atrocity	0.0638954
boom	0.0638101
bankruptcy	0.0636626
devaluation	0.0636381
squabble	0.0635159
period	0.0634514
"air raid"	0.0634192
quarrel	0.0633241
siege	0.0629295
truce	0.0627504
landslide	0.0627157
politics	0.0625045
reconciliation	0.0623001
pandemic	0.0622594
nightmare	0.0620724
"bear market"	0.0618051
ambush	0.061771
hunger	0.0617406
uncertainty	0.0616867
persecution	0.061561
"Hurricane Georges"	0.0614301
disease	0.0614126
inflation	0.061072
Mitch	0.0609965
Kosovo	0.060812
tornado	0.0607894
"air attack"	0.0606428
suffering	0.0605144
trauma	0.0604928
mudslide	0.0604745
misery	0.0604398
destruction	0.0603944
woe	0.0603417
independence	0.0602704
walkout	0.0602533
))
(civilian (desc 93779.5) (sims
soldier	0.216339
Albanian	0.21466
refugee	0.204846
villager	0.201569
Serbs	0.195687
policemen	0.189017
rebel	0.171334
troop	0.167083
militant	0.162805
people	0.161521
citizen	0.159752
guerrilla	0.158409
peacekeeper	0.151068
resident	0.144522
"Kosovo Albanians"	0.141027
Palestinian	0.140195
prisoner	0.138596
foreigner	0.137354
servicemen	0.137052
demonstrator	0.13674
protester	0.133554
worker	0.131299
militiamen	0.130925
"police officer"	0.129899
"Kosovar Albanians"	0.128848
Kosovars	0.128192
tourist	0.127497
personnel	0.127447
Tutsis	0.126878
Kurds	0.126485
Iraqi	0.126178
Muslim	0.125485
fighter	0.124759
force	0.123806
"security force"	0.123042
immigrant	0.121854
terrorist	0.121792
victim	0.121362
hostage	0.120519
passenger	0.120372
"military personnel"	0.120032
Jew	0.119939
officer	0.118687
student	0.117158
journalist	0.117088
Israeli	0.116647
woman	0.116561
settler	0.116383
child	0.115365
police	0.115021
inmate	0.114804
minority	0.113926
Lebanese	0.113812
diplomat	0.11233
others	0.111989
wounded	0.11164
farmer	0.111498
detainee	0.110985
peasant	0.110777
population	0.10989
gunmen	0.109608
policeman	0.107489
man	0.107326
army	0.106606
militia	0.106122
separatist	0.105975
noncombatant	0.104782
Iranian	0.104511
American	0.104409
Ugandan	0.104291
person	0.10412
Fishermen	0.103719
Filipino	0.103621
military	0.102593
national	0.10212
"army officer"	0.101619
insurgent	0.101358
bystander	0.100638
Rwandan	0.100102
employee	0.100017
criminal	0.0988903
youth	0.0984256
activist	0.0982341
motorist	0.0981377
firefighters	0.0977513
reservist	0.0975462
thousand	0.0971856
homeless	0.0970623
pilgrim	0.0969069
Kenyan	0.0965414
bandit	0.0964755
Ethiopian	0.0963515
dissident	0.0962552
combatant	0.0959334
miner	0.0956697
member	0.0956183
businessmen	0.0955677
family	0.0946798
hundred	0.0946494
christian	0.0939868
extremist	0.0926595
Russian	0.092228
inhabitant	0.0921906
village	0.092005
suspect	0.0919204
Hutus	0.0918602
migrant	0.091601
captive	0.091408
volunteer	0.0909142
"prisoner of war"	0.0907617
"East Timorese"	0.0906932
"crew member"	0.0903345
"Bosnian Muslims"	0.0901894
individual	0.0901322
Chechens	0.0899214
pedestrian	0.0894958
"political prisoner"	0.0894901
Afghan	0.0893521
Somali	0.0892823
"military officer"	0.0889611
soliders	0.0888168
Eritrean	0.0885928
paramilitary	0.0885927
relative	0.0884338
Cambodian	0.088392
commando	0.0883376
laborer	0.0881012
observer	0.0879463
Arab	0.087772
Angolan	0.0874951
teen-ager	0.0873331
supporter	0.0872459
"family member"	0.0870554
"university student"	0.0863407
Serb	0.0862698
"young man"	0.0862478
embassy	0.0861518
official	0.0861207
youngster	0.0861054
Tutsi	0.0860125
those	0.0856556
sailor	0.0854222
smuggler	0.0852109
Nigerian	0.0842316
driver	0.0841245
"displaced person"	0.0839658
attacker	0.0835057
"civil servant"	0.0833511
pilot	0.0830812
Chinese	0.0830674
"drug trafficker"	0.0829427
armymen	0.0829136
patient	0.0829101
"armed forces"	0.0828352
casualty	0.0826217
worshipper	0.08245
politician	0.0824375
Croats	0.0821239
commander	0.082053
mercenary	0.0819519
evacuee	0.0819335
"black man"	0.0818865
adult	0.081874
survivor	0.0817428
marine	0.0815262
schoolchildren	0.0814065
girl	0.0811134
"college student"	0.0809319
convoy	0.0808437
spectator	0.0807101
"Kosovo Liberation Army"	0.0807065
aircraft	0.0806133
"staff member"	0.0804789
community	0.0803695
fighting	0.0801531
Cuban	0.080017
"military force"	0.0799743
Mozambican	0.0798717
warplanes	0.0796681
group	0.0795629
target	0.0794871
deserter	0.0792267
Haitian	0.0788956
marcher	0.0786146
"Sri Lankans"	0.0785211
rioter	0.0784244
protestor	0.0783981
innocent	0.078332
leader	0.0780949
airmen	0.0780791
Tibetans	0.0780025
"security guard"	0.0777477
visitor	0.0772606
animal	0.0771764
"Sierra Leonean"	0.077107
teacher	0.0770331
neighbor	0.0766395
guard	0.0766193
"fire fighter"	0.0766049
Indian	0.0765392
))
(civility (desc 14810.6) (sims
decency	0.16035
decorum	0.135714
dignity	0.132528
humility	0.131288
fairness	0.1236
comity	0.118878
tolerance	0.11862
bipartisanship	0.117143
professionalism	0.116802
morality	0.116355
compassion	0.112869
honesty	0.110841
sportsmanship	0.106506
integrity	0.105773
courage	0.103541
"common sense"	0.101888
Openness	0.101857
normalcy	0.0987001
politeness	0.0950773
patience	0.094783
ethic	0.0940987
modesty	0.0935815
Etiquette	0.093577
kindness	0.093447
harmony	0.0933792
generosity	0.0907684
patriotism	0.0901956
neighborliness	0.0893235
discipline	0.0892863
normality	0.0879898
moral	0.0874095
nonviolence	0.0870346
prudence	0.0866973
self-respect	0.0858182
pluralism	0.0856025
sanity	0.0855247
respect	0.0853722
collegiality	0.0848766
equality	0.0848267
restraint	0.0847925
statesmanship	0.0844452
moderation	0.0843959
inclusiveness	0.0840958
loyalty	0.0839837
self-discipline	0.0829574
unity	0.0826981
"rule of law"	0.0816568
solidarity	0.0814396
teamwork	0.0812542
transparency	0.0803638
propriety	0.0798441
calm	0.0793281
accountability	0.0793046
candor	0.0789567
toughness	0.0762539
forgiveness	0.075989
trust	0.0752825
calmness	0.0751298
gentility	0.0750205
fortitude	0.0743189
Amity	0.0742237
"good will"	0.0739805
diversity	0.0738282
cohesion	0.073811
cleanliness	0.0728985
stability	0.0727968
serenity	0.0724754
unanimity	0.0721618
conciliation	0.0720068
humor	0.0717473
graciousness	0.0711998
individuality	0.0706316
courtesy	0.0706165
reconciliation	0.0705515
truthfulness	0.0703939
tenacity	0.0703567
tranquility	0.070105
clarity	0.0700133
perseverance	0.0699218
elegance	0.069614
competence	0.0693423
democracy	0.0688233
tranquillity	0.0687185
self-control	0.0686255
sincerity	0.0682721
selflessness	0.067885
Creativity	0.0678557
flexibility	0.0677703
Privacy	0.0676055
consistency	0.0674945
objectivity	0.0674799
legitimacy	0.0674614
warmth	0.0672617
hospitality	0.0671949
freedom	0.0669882
understanding	0.0667183
impartiality	0.0666874
humanity	0.0664988
confidence	0.0663733
rationality	0.066323
"sense of responsibility"	0.0660697
bravery	0.0659583
credibility	0.0654996
consensus	0.0653317
spirituality	0.0653203
peace	0.0650145
"due process"	0.0642769
continuity	0.0639632
simplicity	0.0639212
"civil liberty"	0.063683
spontaneity	0.0635779
goodwill	0.0631388
pragmatism	0.0626097
probity	0.0623844
grace	0.0621791
subtlety	0.0621731
excellence	0.0620675
optimism	0.0619851
wisdom	0.061972
self-reliance	0.0618493
divisiveness	0.0618376
purity	0.0617076
sophistication	0.0614819
boldness	0.0608415
dedication	0.0605734
eloquence	0.0605271
"good humor"	0.0605017
faith	0.0601322
secrecy	0.0597237
hygiene	0.0596732
arrogance	0.0595713
self-confidence	0.0593931
"good manners"	0.0590918
virtue	0.0590718
levity	0.059041
skill	0.0589456
individualism	0.0589068
self-sacrifice	0.0587795
nobility	0.058768
brotherhood	0.0586539
dynamism	0.058497
urgency	0.0584832
determination	0.058421
responsibility	0.0583989
realism	0.0582289
maturity	0.0582065
heroism	0.0581493
"equal opportunity"	0.0580463
Liberty	0.0580288
efficiency	0.0580091
internationalism	0.0576903
reciprocity	0.0576266
uniformity	0.0575375
cynicism	0.0574396
certainty	0.0573732
governance	0.0572072
respectability	0.0570968
idealism	0.0570834
parity	0.0570147
mercy	0.0565903
coexistence	0.0565881
alertness	0.0565696
vigor	0.0564499
confidentiality	0.0562988
passion	0.0562625
cordiality	0.056177
spirit	0.0560871
sensitivity	0.0560821
prosperity	0.0560809
devotion	0.056025
neutrality	0.0559431
sympathy	0.0558938
intellect	0.0558762
rectitude	0.0557862
justice	0.0557533
cohesiveness	0.0554643
beauty	0.0552497
coherence	0.0551774
decisiveness	0.0548671
frankness	0.0547958
tradition	0.0547623
prestige	0.0547188
finality	0.0546802
seriousness	0.0545344
dialogue	0.0545324
intelligence	0.0544909
intimacy	0.0541311
resilience	0.0541225
literacy	0.0539041
predictability	0.0537808
self-esteem	0.053537
willingness	0.0533434
multiculturalism	0.0530833
comfort	0.0529581
familiarity	0.0529246
volunteerism	0.0529149
"mutual understanding"	0.0527067
competitiveness	0.0525935
partisanship	0.0525836
camaraderie	0.0524253
))
(civilization (desc 40032.4) (sims
culture	0.162014
heritage	0.111578
democracy	0.110543
society	0.105398
religion	0.102919
tradition	0.102385
mankind	0.0956807
prosperity	0.0924892
history	0.0910711
humanity	0.0897337
art	0.0880326
architecture	0.0873061
"way of life"	0.0841945
science	0.0838276
literature	0.0834592
"legal system"	0.0830021
"social system"	0.082595
life	0.0824721
stability	0.0821088
economy	0.0819418
unity	0.0786801
Christianity	0.0785431
antiquity	0.0784164
development	0.0762904
empire	0.0759341
"political system"	0.0754665
peace	0.0751403
"human race"	0.0750852
nation	0.0741241
dynasty	0.0740971
community	0.0734141
socialism	0.072758
language	0.0720644
environment	0.0719115
cuisine	0.071265
well-being	0.0712028
nature	0.0709873
politics	0.0709599
ancestor	0.0708065
modernization	0.0707483
ideology	0.0704768
progress	0.070297
"ethnic group"	0.0696804
Capitalism	0.069653
"medical science"	0.0695084
revolution	0.0686034
philosophy	0.0684127
Marxism	0.0682129
reality	0.0678753
diversity	0.0669902
mythology	0.0669586
ideal	0.0667124
industry	0.0664108
friendship	0.0660509
relic	0.065965
achievement	0.0657396
Universe	0.0655837
identity	0.0655094
ethic	0.0654306
evolution	0.065276
"art form"	0.0650946
spirituality	0.065089
morality	0.0647084
spirit	0.0643286
"film industry"	0.0641934
continent	0.0638367
custom	0.0635474
Buddhism	0.0634351
nationhood	0.0633702
climate	0.0633227
movement	0.06319
structure	0.0628295
ecosystem	0.0625829
geography	0.0623796
"human being"	0.0620626
myth	0.06205
"life form"	0.0617925
artifact	0.0617834
value	0.0615135
relation	0.0614679
"nuclear power"	0.0612796
freedom	0.0611615
America	0.0609362
advancement	0.0607325
origin	0.0606434
population	0.0605687
nationality	0.0605004
institution	0.0604681
humankind	0.0604451
beauty	0.0602888
past	0.0602205
integration	0.0601963
folklore	0.060145
specie	0.0600973
"foreign policy"	0.0597359
Islam	0.0595718
human	0.0595332
patriotism	0.0594919
concept	0.0592936
solidarity	0.0592771
faith	0.0591707
landscape	0.0589315
legacy	0.0588651
scenery	0.0588546
technology	0.0587798
integrity	0.058007
tourism	0.0579124
cinema	0.0577947
sport	0.0577647
style	0.0576379
"economic system"	0.0575979
"social science"	0.0574087
relationship	0.0574059
"architectural style"	0.0572659
existence	0.0569744
dignity	0.0569415
cooperation	0.0568318
tribe	0.0564983
future	0.0564542
"social structure"	0.0564389
treasure	0.0564027
theory	0.056319
"market economy"	0.0561828
diplomacy	0.0560613
planet	0.0559979
character	0.0559206
undertaking	0.0559203
"space program"	0.055844
infrastructure	0.0557732
Liberty	0.0557466
archaeology	0.0556233
wealth	0.0555837
accomplishment	0.0555048
nationalism	0.0552019
industrialization	0.0551907
ecology	0.0551385
"rule of law"	0.0551241
agriculture	0.0550802
genre	0.0550795
"human right"	0.055029
economics	0.0548406
innovation	0.0548039
liberalism	0.0547293
communism	0.05468
era	0.0545151
lifestyles	0.0544113
"life style"	0.0543699
renaissance	0.0541223
"slave trade"	0.0539245
success	0.053895
revitalization	0.0538714
survival	0.0538341
monarchy	0.0537327
music	0.0536616
health	0.0536393
biodiversity	0.0535379
aviation	0.0533811
sensibility	0.0533214
neighbor	0.0533041
biology	0.0532366
education	0.053215
policy	0.0532067
leadership	0.0531774
rejuvenation	0.0531447
slavery	0.0530593
capability	0.0530482
God	0.0529437
growth	0.0528119
consciousness	0.0527243
Judaism	0.0525722
vision	0.0525591
Europe	0.0523802
regime	0.0523723
creature	0.0523475
security	0.0522327
Journalism	0.0522167
"American Dream"	0.0522137
root	0.0521919
idea	0.0521821
lifestyle	0.0521587
metropolis	0.0521105
harmony	0.052029
situation	0.0520155
reform	0.0519687
"human rights"	0.0519409
Invention	0.0518942
poetry	0.0514425
colonialism	0.0513812
rivalry	0.0512816
transformation	0.0512236
coexistence	0.0511524
"folk art"	0.0511204
"mutual understanding"	0.0511086
resource	0.0510678
sector	0.0510192
"natural resource"	0.0509941
endeavor	0.0509644
mathematics	0.0509225
characteristic	0.0508697
wisdom	0.050808
))
(CJD (desc 3677.85) (sims
"Creutzfeldt-Jakob Disease"	0.386644
encephalopathy	0.199224
BSE	0.196691
encephalitis	0.182271
leukemia	0.171368
"lung cancer"	0.168196
"dengue fever"	0.163921
Meningitis	0.162015
"colon cancer"	0.158402
Hantavirus	0.155158
Dengue	0.150906
malaria	0.150335
hepatitis	0.149874
"food poisoning"	0.148351
influenza	0.148168
Rabies	0.145174
Tb	0.141432
myeloma	0.140468
ebola	0.136334
osteoarthritis	0.134077
"multiple sclerosis"	0.133703
als	0.133339
measles	0.133081
"skin cancer"	0.132259
pneumonia	0.130539
"West Nile"	0.130481
"Lyme disease"	0.130242
melanoma	0.129743
"cardiovascular disease"	0.1296
cholera	0.129082
tuberculosis	0.127208
"Parkinson's disease"	0.126084
"liver disease"	0.124398
diarrhea	0.124207
"hepatitis B"	0.124105
leprosy	0.122816
botulism	0.122436
"lead poisoning"	0.122148
"heart failure"	0.120198
SIDS	0.119458
"brain tumor"	0.11816
HIV	0.117534
salmonella	0.117176
syndrome	0.115932
Parkinson's	0.115683
"heart disease"	0.11558
ailment	0.114944
Alzheimer	0.112896
malnutrition	0.111999
typhoid	0.111487
"cystic fibrosis"	0.111453
"infectious disease"	0.111058
narcolepsy	0.110344
dementia	0.108978
Osteoporosis	0.10817
diarrhoea	0.107112
"venereal disease"	0.106391
flu	0.10575
autism	0.105338
overdose	0.105127
anthrax	0.104963
asthma	0.103727
hemophilia	0.103396
polio	0.103222
coli	0.103164
canker	0.100555
anemia	0.10026
schizophrenia	0.0997092
virus	0.0995835
lupus	0.0991341
poisoning	0.098302
hemorrhage	0.0977961
hypertension	0.0976694
lymphoma	0.0974962
fibrillation	0.0971645
diabetes	0.0967305
arrhythmia	0.0966621
sickness	0.0965312
"AIDS virus"	0.0953998
"hepatitis A"	0.0953022
infection	0.0952275
epilepsy	0.095066
apnea	0.0935275
"heart attack"	0.0933503
carcinoma	0.0926594
sclerosis	0.092633
HIV/AIDS	0.0925331
emphysema	0.0907714
degeneration	0.0899505
famine	0.0889204
syphilis	0.08833
smallpox	0.0880844
"acquired immune deficiency syndrome"	0.0879861
"UNIX operating system"	0.0874258
"foot-and-mouth disease"	0.087091
hypothermia	0.0867548
Dysentery	0.0865994
rollovers	0.0865053
"eye disease"	0.0862265
dehydration	0.0861709
gonorrhea	0.0855197
starvation	0.0849363
ADHD	0.0836714
glaucoma	0.0836692
ulcer	0.0834078
O@@@:H@	0.0833164
cataract	0.0831631
"Human Immunodeficiency Virus"	0.0828248
suffocation	0.0825927
aids	0.0824846
"typhoid fever"	0.0823175
disorder	0.0817562
"bubonic plague"	0.0810556
gallstone	0.0805099
trachoma	0.0804491
epidemic	0.0802265
"sexually transmitted disease"	0.0801864
"yellow fever"	0.0794671
"mental disorder"	0.0790313
"congestive heart failure"	0.0789242
overwork	0.0775708
fever	0.0773097
Lyme	0.076281
cirrhosis	0.0759858
jaundice	0.0758008
STD	0.0755145
"muscular dystrophy"	0.0746285
"neurological disorder"	0.0744596
rotavirus	0.074294
"respiratory disease"	0.0742701
herpes	0.0741801
infertility	0.0739544
pox	0.0728262
arthritis	0.0708661
"communicable disease"	0.0708355
contagion	0.070535
"genetic disease"	0.0704599
bacillus	0.0697846
recurrence	0.0694696
"blood clot"	0.0691588
bacteria	0.0691182
chickenpox	0.0686957
deafness	0.068323
"dog bite"	0.0682799
"Love Bug"	0.0674027
Obesity	0.067232
Qigong	0.0671701
relapse	0.0670031
tumor	0.0669235
"malignant tumor"	0.066634
blindness	0.065754
contamination	0.065512
bronchitis	0.0653217
malignancy	0.0649779
"rheumatoid arthritis"	0.0647188
infestation	0.0645812
"heat exhaustion"	0.0644036
"bipolar disorder"	0.0642257
paralysis	0.0641827
"child abuse"	0.0640338
"high blood pressure"	0.0639457
deformity	0.0639401
retardation	0.0637999
HIV-@	0.0636252
"mental illness"	0.0635762
Burnout	0.0632932
gastroenteritis	0.0631903
fungus	0.0629654
variant	0.0627133
Psychosis	0.0621757
"heart valve"	0.0621552
germ	0.0619299
tremolite	0.0617752
"tooth decay"	0.061751
malady	0.0613662
"neurological disease"	0.0612289
inhalation	0.0608104
"moral hazard"	0.0604842
frostbite	0.0604802
"common cold"	0.060429
inflammation	0.0602319
trauma	0.0593482
"neutron star"	0.0593248
abnormality	0.0586548
dysfunction	0.0583436
bacterium	0.0582699
microbe	0.0582446
parasite	0.0581001
wasting	0.0580471
cyst	0.0579904
impairment	0.0578535
atherosclerosis	0.0578137
"circadian rhythm"	0.0576409
recidivism	0.0569862
"heart condition"	0.0566517
giardia	0.0564218
toxicity	0.0563463
malformation	0.055979
acne	0.0556889
mutation	0.0554235
))
(clack (desc 1676.3) (sims
"Gabe Muoneke"	0.126314
"Kris Clack"	0.094294
Muoneke	0.0781274
Gillom	0.0668876
Hollins	0.0662689
Gabe	0.0645955
Owens	0.0618616
Maruyama	0.0581587
"Lance Johnson"	0.0578183
Mabry	0.0575225
Trepagnier	0.0553269
Croshere	0.0530763
Reichel	0.0529588
Catalanotto	0.052364
Boesak	0.0502996
McInnis	0.0501777
Thuram	0.0491948
Pacifier	0.0490943
Deane	0.0490309
"extra points"	0.0486833
Artest	0.0474148
Azizah	0.0471458
Counsell	0.0469369
Mihm	0.0466176
Lofton	0.0465924
Mobley	0.0460382
DeShields	0.0458945
Kline	0.0457846
MacCulloch	0.0457232
Furcal	0.0456105
"Sean Berry"	0.0446128
whomever	0.0440727
Klesko	0.044002
Langenbrunner	0.0439995
Tarver	0.0439242
Ceballos	0.0438372
Scalabrine	0.0438019
Sojo	0.0428461
Dragila	0.0427388
Montalvo	0.0425742
"Fighting Irish"	0.0423829
Abreu	0.0421684
Barrie	0.0421536
Rook	0.042003
Vidro	0.0416761
"Damian Jackson"	0.0415752
Nilsson	0.0412769
Childs	0.0411419
Guzman	0.0409608
"David Dellucci"	0.0408932
Mims	0.0408878
Raines	0.0408098
caftan	0.040777
Gorter	0.0407192
"Mark Kotsay"	0.0407097
Stinnett	0.040663
"Jason Kendall"	0.0402874
Lieberthal	0.0401331
keystrokes	0.0400976
Dunston	0.0400547
))
(cladding (desc 1341.44) (sims
smelters	0.0924687
tubing	0.0899779
alloy	0.0866642
barbell	0.0852813
molding	0.0826141
grille	0.0816799
ingot	0.0802235
cookware	0.0729179
prong	0.0726644
wainscoting	0.0722942
chalice	0.0715355
cistern	0.0711027
stylus	0.0699701
piping	0.0699285
smelter	0.0694771
sealer	0.0692094
sheathing	0.0689363
"grocery bag"	0.0669373
scraper	0.0661251
"shower curtain"	0.0660581
ITTF	0.065709
sheeting	0.0654308
truncheon	0.0652202
"folding chair"	0.0640245
siding	0.0638175
Igloo	0.063456
PIERCINGS	0.0624946
"French door"	0.0621612
casing	0.0620088
cutlery	0.0614203
ore	0.0604943
paneling	0.0603968
tumbler	0.0596993
skylight	0.0585916
tracer	0.0577047
fender	0.0570418
"packing material"	0.056943
"lounge chair"	0.0563973
FIVB	0.0563464
bauble	0.0560968
sconce	0.0560422
"pedestrian bridge"	0.0557805
crusher	0.0549439
wares	0.054508
gnome	0.0541433
"seat cushion"	0.054041
wick	0.0540047
handcuffs	0.0535907
"outside mirror"	0.0534766
cornice	0.0523583
ornamentation	0.0521312
coating	0.0517413
aperture	0.0516083
flooring	0.0513309
pouch	0.0512041
"beer bottle"	0.0502703
"key ring"	0.0501489
Mylar	0.0498123
adhesive	0.0497502
jamb	0.0496022
Goblet	0.0495099
fastener	0.049121
fabricator	0.0485484
flange	0.0483558
"baseball bat"	0.0482742
wastebasket	0.0481708
shingles	0.0480197
putty	0.0478685
UCI	0.047549
awning	0.0474632
smock	0.0473875
"Steve Austin"	0.047312
pail	0.0472717
"pants suit"	0.0469548
mulch	0.0468513
utensil	0.0467122
sulfate	0.0466963
archway	0.0466117
gutter	0.0463385
"picture frame"	0.0462599
lattice	0.046137
teapot	0.0459274
clothes	0.045834
"neck brace"	0.045676
roofing	0.0454566
"water jug"	0.0452589
projectile	0.045061
lean-to	0.0450151
resin	0.0447687
deflector	0.0447554
"color scheme"	0.0446047
webbing	0.04448
woodwork	0.0443984
"tea set"	0.0443513
"extension cord"	0.0441721
chloride	0.0440501
girder	0.0439841
tricycle	0.0439787
"gold leaf"	0.043906
stanchion	0.0438988
washer	0.0438881
easel	0.0436276
"tape measure"	0.0435773
flue	0.043523
knob	0.0431875
hanger	0.0431775
"garbage can"	0.0431175
"over @@@ meters"	0.0430633
Len	0.0430121
camisole	0.0429249
trowel	0.0427779
sealant	0.0427202
tweezer	0.0426387
duct	0.0425024
filigree	0.0424999
barrette	0.0423218
"place mat"	0.0419979
silverware	0.041932
twitching	0.0418546
rails	0.041823
trinket	0.0418125
pendant	0.0417606
"muscle cell"	0.0414385
colander	0.0413181
"gas pump"	0.0412817
"bunk bed"	0.0412634
two-seater	0.0409333
outrigger	0.0409024
filler	0.0408479
lozenge	0.0408346
rasp	0.0408266
tarp	0.0408226
"shower stall"	0.0407986
"filing cabinet"	0.0407804
contraption	0.0407672
countertops	0.0407203
"Honda Civic"	0.0404399
netting	0.0401958
spud	0.0400806
enamel	0.0400723
anorak	0.0400546
))
(Claes (desc 1182.07) (sims
Roh	0.119394
Merlino	0.113887
Cheung	0.110552
Druckenmiller	0.0990123
Okamoto	0.0986262
Barbour	0.098625
Gotti	0.0985916
Gutman	0.0955877
Barrionuevo	0.0942069
Hybl	0.0926572
Symington	0.0919656
"Oladipo Diya"	0.0911782
Gosper	0.0887493
Smyth	0.0886788
"National Sports Council"	0.0885212
Coia	0.0875252
"Hanan Ashrawi"	0.0866306
DeFrantz	0.0861227
Sithole	0.0858816
Kajiyama	0.0849896
Manbar	0.0841073
Mukora	0.0835623
"Laurent Fabius"	0.0834907
Berenson	0.0829089
"Bashkim Fino"	0.0819245
Meeks	0.0813729
"Sali Berisha"	0.08116
Tella	0.0806951
Aoki	0.0805627
Hauser	0.0803527
Berlusconi	0.0790556
"Krishna Prasad Bhattarai"	0.0784638
Ibarra	0.0779999
Deri	0.077924
Gravano	0.0774747
Bizimungu	0.077001
McMellon	0.0769865
Hajjarian	0.0767726
Diouf	0.0767437
Fortier	0.0766785
Auriemma	0.0764128
Schweitzer	0.0754704
Chaudhry	0.0752659
Sebaggala	0.0752391
Hubbell	0.0748696
Coolio	0.074334
Craxi	0.0731395
Ganga	0.0726352
Nasrin	0.0719687
Nano	0.0718109
Garza	0.0714158
"Fatos Nano"	0.0713627
Mitnick	0.0711401
Jelisic	0.0704945
Haskins	0.0703118
"Raul Salinas"	0.0702348
Joklik	0.0700319
Finkel	0.0695968
"Fayez Tarawneh"	0.0694798
Fabius	0.0691863
Talebi	0.0690601
Meng	0.0689913
Yastrzhembsky	0.0681705
"Maturino Resendiz"	0.0672501
Bhattarai	0.0671537
al-Sahhaf	0.0670775
Maslyukov	0.0666607
Shipman	0.0666503
Rideau	0.0665902
Shaath	0.0665618
Lacresha	0.0662896
Catacosinos	0.0659939
Malan	0.0657682
Maag	0.0657127
Volpe	0.0653287
Trie	0.0637237
Cianci	0.0636259
Berisha	0.0631563
"Faisal Husseini"	0.0624879
"Vo Van Kiet"	0.0621859
Lehmann	0.0615722
Blackthorne	0.0615439
Flemmi	0.0613662
Cisneros	0.0613317
Strauss-Kahn	0.0610674
Rove	0.060678
"Johnny Chung"	0.0604871
Arkin	0.0602447
Ivester	0.0602151
Jobe	0.0598804
Quackenbush	0.0598759
Nouri	0.0598667
Thaci	0.0598098
Stayner	0.0596433
Salinas	0.0596292
Bettman	0.0596158
"Pascoal Mocumbi"	0.0595955
Muhammad	0.0595254
"Nabil Shaath"	0.0593925
Ahmad	0.0593339
Barros	0.0593266
"Prime Minister Kamal El-Ganzouri"	0.0590794
"Huang Ju"	0.0589864
Jenoff	0.0586447
"Pakalitha Mosisili"	0.0585497
"Ieng Sary"	0.0584943
Titov	0.0580407
Haughey	0.0580111
Espinosa	0.0578337
Beckwith	0.0578181
"Bora Milutinovic"	0.0577614
Rao	0.0576453
"Anwar Ibrahim"	0.0575238
"Boris Nemtsov"	0.0574656
Taubman	0.0574078
"Malaysia Airlines"	0.0570835
Duran	0.0570039
el-Ganzouri	0.0569105
Lyons	0.0568822
"Tin Oo"	0.0568235
"Ding Guangen"	0.0567102
Maritz	0.0566959
Cubas	0.0566899
Mustafa	0.0566574
Borodin	0.0565321
Dehaene	0.0564917
"Phil Coles"	0.0563801
Schwarz	0.0560231
"Xu Wenli"	0.0559082
"Mahmoud Abbas"	0.0558758
"Met Life"	0.0557828
Lazarenko	0.0557786
Luong	0.0556062
Penders	0.0555267
"Zeng Qinghong"	0.0551218
Natale	0.0550926
Riady	0.0547911
Hamid	0.0547506
Deutch	0.0545592
Hevesi	0.0544611
Majali	0.0544566
Banzer	0.0544379
Whitacre	0.0543954
Jorgensen	0.0542454
Donohue	0.0541708
Ben-Ami	0.0539609
Patel	0.0538476
Dinkins	0.0538357
Hariri	0.0537479
Krasniqi	0.0537354
Robison	0.0536545
Rangel	0.0536176
"Henry Cisneros"	0.053565
"Yossi Beilin"	0.0535231
Guardado	0.0534266
Evelyn	0.0531763
"Yitzhak Mordechai"	0.0531752
Gauthe	0.0531569
Kerasiotes	0.0529225
Mordechai	0.0528363
Martorano	0.0527114
"Oskar Lafontaine"	0.0526846
Dunbar	0.0526295
Lundy	0.0526123
Trulock	0.0523438
congregants	0.0523206
Trevi	0.0521734
Gritz	0.0519735
Gullit	0.0518871
Schuessel	0.0518213
Zeng	0.0516985
Dini	0.051527
Rais	0.0514938
Yoo	0.0514685
"Chavalit Yongchaiyudh"	0.0513848
Lileikis	0.0512006
"John Gotti"	0.0511872
Zhenyu	0.0510603
Sato	0.0510544
Levitt	0.0509586
"Mahendra Chaudhry"	0.0509417
Montiel	0.0509296
Fagan	0.0509202
Houghton	0.0508319
Hu	0.0508311
"Wu Yi"	0.0507763
Bruton	0.050727
Lipponen	0.0507263
Alderson	0.0507017
Raducan	0.0506237
Beilin	0.0505888
"Jean-Marie Le Pen"	0.0505699
petitioner	0.050517
"Edwin Edwards"	0.0503011
Charest	0.0501853
Kraus	0.0501565
Neeman	0.0498107
Papon	0.0497867
"employment contract"	0.0497564
Sharaa	0.0497447
))
(Claiborne (desc 3310.33) (sims
Yarnall	0.0908529
DuBose	0.0881783
Rutledge	0.0875861
McGarity	0.0851864
"Windrell Hayes"	0.0834952
Cline	0.0816379
Neilson	0.0800319
Bibby	0.0796957
Underwood	0.0792899
Berenson	0.0791921
Soward	0.078134
Espinoza	0.0778172
Irvan	0.0767035
Lafleur	0.0766177
Katzenmoyer	0.0754288
Guthridge	0.0752184
Naumann	0.0738753
Sather	0.0729817
Grasso	0.0724147
Verney	0.0724026
Farris	0.0722264
Imperatori	0.0720708
Kearin	0.071243
Pruett	0.0712078
Khalil	0.0710675
Sinclair	0.0708964
Ackerman	0.0705419
Zambrano	0.0702337
Smirnov	0.0702304
Monson	0.0697399
Passarella	0.0694696
"Van Raaphorst"	0.069326
Wheatley	0.0693136
Advani	0.0678411
Moyer	0.0678228
Lett	0.0675544
Cota	0.0672491
Nguyen	0.0670855
Puente	0.0668952
Holdsclaw	0.0667561
Valenzuela	0.0665533
Woodard	0.0663297
Spence	0.0661076
Cepeda	0.0658526
Manley	0.0656224
Kearse	0.0656168
Symington	0.0656019
Tomlinson	0.0655563
Gravano	0.0653312
Peterson	0.0652074
Baerga	0.0650243
Zacarias	0.0648663
Fabius	0.0647767
Cooke	0.0645904
Merritt	0.0643763
Crenshaw	0.0642843
Blackmun	0.0640854
Mehmet	0.0640103
Rubinstein	0.0640039
Monahan	0.0631933
Tillman	0.0630994
Garrity	0.0630503
Contreras	0.0630085
Ivester	0.0628166
Fagan	0.0626322
Hoffmann	0.0625708
Dowd	0.062525
Schott	0.062506
Pennington	0.0624925
Wolfson	0.0623463
Mitnick	0.0623461
Morton	0.0622415
Agca	0.0621654
Lipponen	0.0621182
"La Russa"	0.0620606
Bubb	0.0619624
Logue	0.0619129
Halberstam	0.0617939
Schell	0.0616582
Burleigh	0.0616427
Olowokandi	0.0615215
Mackenzie	0.0614086
Hackett	0.0613944
Aleman	0.061277
Sebaggala	0.0611809
rudd	0.0611441
Tomjanovich	0.0611341
silber	0.0611223
leeson	0.0610719
Slocum	0.0610335
Pollard	0.0610127
Krugman	0.0609114
hodgson	0.0608225
Kroll	0.0606778
Flaherty	0.0605524
Sanan	0.0605351
Zimmer	0.0605261
WARRICK	0.0605236
Meeks	0.0604891
Marineau	0.0604578
Nikitin	0.0603608
Soyinka	0.0603437
Hardy	0.0602401
Briscoe	0.0601667
Brazile	0.0601078
Rowan	0.0600174
Shinn	0.0599233
Heinrichs	0.0596893
Avery	0.0596136
Bowers	0.0595715
Ciampi	0.0595268
Gagne	0.0593528
Warshaw	0.0592677
Shayler	0.0592555
Olsen	0.0591261
Olson	0.059109
Caddell	0.0590965
Popovich	0.0589978
Milbury	0.0588188
Echols	0.0586999
Sibley	0.0586993
Schottenheimer	0.0585676
Halama	0.0585518
Mandelson	0.0584132
Titov	0.058402
Kazhegeldin	0.0583714
Herron	0.0583451
"Maturino Resendiz"	0.0582699
"Jim Harrick"	0.0582657
Sherrill	0.0581123
Giles	0.0581113
Velayati	0.058012
Deutsch	0.0579066
Murrell	0.0578957
Sakic	0.0578947
Billick	0.0578374
Darnell	0.0577784
Neff	0.057763
Flanagan	0.0577547
Schourek	0.0577308
Farber	0.0576968
Hamill	0.0576683
Reimer	0.0575956
Millwood	0.0575493
Andreessen	0.057521
Rosenthal	0.0573971
Macdonald	0.0573278
Brunell	0.0572906
Winkler	0.0571759
Ghani	0.057165
Daley	0.0570262
Abernathy	0.0569492
Keating	0.0569476
Ellsworth	0.0569314
Williamson	0.05693
Merlino	0.0568498
Vollebaek	0.056813
Safir	0.0567349
Braswell	0.0565814
Milutinovic	0.0565784
Rosenblatt	0.0565343
Chavalit	0.0562613
Nailon	0.0562231
Alves	0.0562212
Rambis	0.0561418
Conley	0.0561308
Ruehe	0.0561262
Godwin	0.0561168
Goldin	0.0560748
Liberman	0.0559818
Kopp	0.0558713
Diouf	0.0558512
Horton	0.0557933
Newhouse	0.0557021
Messier	0.0556823
Barrionuevo	0.0556447
Howe	0.05545
Henning	0.0554336
Gusinsky	0.0553193
Marinovich	0.0553162
Romar	0.0553132
Kapono	0.0552575
Alarcon	0.0552365
Tilberis	0.0551744
Gullikson	0.0551182
Arias	0.055067
Puzo	0.0550514
singleton	0.0548726
bender	0.0548664
Tian	0.0548635
Schmid	0.0548529
Kohn	0.0547994
Tsang	0.0547885
Brunner	0.0547478
ISSEL	0.0547249
Hanley	0.0546565
Kirby	0.0546498
Paxon	0.0545056
Culpepper	0.0544929
Foxx	0.054441
))
(claim (desc 165798) (sims
allegation	0.204525
accusation	0.188109
assertion	0.183955
lawsuit	0.181922
complaint	0.164392
charge	0.154363
argument	0.132059
case	0.130697
request	0.122505
suggestion	0.122232
suit	0.12127
report	0.119853
statement	0.117564
proposal	0.115086
threat	0.111208
criticism	0.110838
decision	0.108615
appeal	0.107998
action	0.105285
evidence	0.104436
demand	0.103904
finding	0.103452
litigation	0.103006
rumor	0.102788
judgment	0.10193
testimony	0.100745
account	0.0997097
payment	0.0997031
comment	0.0990902
plan	0.0981347
question	0.0980774
offer	0.0966585
policy	0.0958364
damage	0.0950065
liability	0.0943082
theory	0.0939962
application	0.0939046
prediction	0.0934678
remark	0.0934635
idea	0.0932632
issue	0.0922808
contention	0.0922039
denial	0.0921772
prosecution	0.0920635
objection	0.090925
attempt	0.0908448
call	0.0906095
violation	0.0906009
notion	0.0904053
commitment	0.0897379
promise	0.0895157
attack	0.0889403
refusal	0.0887959
incident	0.0881882
petition	0.0878742
effort	0.0867173
verdict	0.0865739
investigation	0.0864568
Declaration	0.0862867
dispute	0.0861722
concern	0.0859708
fact	0.0854265
pledge	0.0850338
"legal action"	0.0849876
view	0.0848835
compensation	0.0842664
assessment	0.0839475
belief	0.0838007
provision	0.0836101
tactic	0.0835741
right	0.0835624
ruling	0.0831633
behavior	0.0831061
plea	0.0829846
activity	0.0829839
speculation	0.0828799
use	0.0826149
settlement	0.0822601
disclosure	0.082139
conclusion	0.082106
move	0.082028
problem	0.0819518
conduct	0.0818787
recommendation	0.0817004
law	0.0815919
crime	0.0807939
status	0.0807219
conviction	0.0806067
insistence	0.0803911
information	0.0803403
interpretation	0.0803354
act	0.0802109
cost	0.0801835
story	0.0801592
document	0.0798226
suspicion	0.0793501
challenge	0.0792924
abuse	0.0791313
matter	0.0791159
announcement	0.0791095
warning	0.0788702
bill	0.0785276
measure	0.0781652
assurance	0.0780259
strategy	0.0776935
failure	0.077386
position	0.0770918
assumption	0.0766182
contribution	0.076613
indictment	0.0765495
rule	0.0764787
benefit	0.0763449
fear	0.0761883
explanation	0.0761206
possibility	0.076065
inquiry	0.0759263
campaign	0.0759259
grievance	0.0757683
practice	0.0754757
fee	0.0754154
fraud	0.075334
tax	0.075312
stance	0.0753113
opinion	0.075018
AD	0.0748621
interest	0.074755
arrest	0.0746576
risk	0.074301
bid	0.0740477
intention	0.0740113
response	0.0737582
agreement	0.0737341
legislation	0.0731515
deal	0.0731129
change	0.0730427
regulation	0.0730093
detail	0.0729813
protest	0.072832
approach	0.0725254
perception	0.0723665
need	0.0722742
involvement	0.0722521
requirement	0.0722048
filing	0.0719641
scandal	0.0719142
sanction	0.071496
expense	0.0714002
transaction	0.0713263
confession	0.0712009
letter	0.0711007
initiative	0.0706114
data	0.0705872
relationship	0.0705397
estimate	0.070494
number	0.0703486
debt	0.0703153
result	0.0701816
sale	0.0701778
procedure	0.0701343
motion	0.0699181
money	0.0698733
rejection	0.0696229
message	0.0696073
violence	0.0693101
controversy	0.0692568
revelation	0.0691343
record	0.0690494
opposition	0.0689249
situation	0.068739
motive	0.0687039
concept	0.0686876
admission	0.0685431
impact	0.0685216
value	0.0685078
penalty	0.0684347
support	0.0684055
purchase	0.0683157
study	0.0682352
that	0.0681151
rhetoric	0.068111
ban	0.0680683
ability	0.0680644
some	0.0679351
description	0.0679018
protection	0.0678892
asset	0.067834
order	0.0677634
reaction	0.0675319
contract	0.0675217
attitude	0.0672934
concession	0.0672289
count	0.0672029
role	0.067194
treatment	0.0670781
program	0.067044
"legal fee"	0.0666366
transfer	0.0666129
method	0.0664324
misconduct	0.0663975
prospect	0.0661165
))
(claimant (desc 8593.14) (sims
policyholder	0.15127
plaintiff	0.137972
depositor	0.127652
"property owner"	0.105428
pensioner	0.104779
bondholder	0.0979077
Eappens	0.0960103
creditor	0.0948095
litigant	0.093685
applicant	0.0919056
debtor	0.0916044
smoker	0.0894003
"Sri Lankans"	0.0880364
beneficiary	0.08728
laborer	0.0872478
Harris-Lewis	0.086881
whistle-blowers	0.0859704
enrollee	0.0852351
survivor	0.0833126
Cayugas	0.0821021
centenarian	0.0818688
"minority shareholder"	0.0811571
"health care provider"	0.0808861
heir	0.0807902
VMs	0.0796158
homeowner	0.0791223
borrower	0.0780285
detainee	0.0776944
adoptees	0.0776441
Japanese-Americans	0.0775105
recipient	0.0774885
miner	0.0774667
inmate	0.0768377
"Paula Jones"	0.0757327
Haitian	0.0755693
complainant	0.0752295
"Iranian POWs"	0.0751393
registrant	0.0750309
sufferer	0.0747342
taxpayer	0.0736704
"foster child"	0.0731305
retiree	0.0730611
migrant	0.0726805
landowner	0.0723984
Honduran	0.070855
purchaser	0.0705045
Filipino	0.0703111
"union member"	0.0696097
examinees	0.0693161
defendant	0.0690123
Mozambican	0.0688774
shareholder	0.0688009
orphan	0.0687329
"AIDS patient"	0.0682501
enlistee	0.0678855
"small farmer"	0.0672877
holder	0.0672285
Beijingers	0.0665372
Californian	0.0661204
mainlanders	0.0659942
seeker	0.0657907
deserter	0.0655638
"temporary worker"	0.0652109
reservist	0.0649311
donor	0.064592
Eritrean	0.063916
Georgian	0.06384
evacuee	0.063759
Guatemalan	0.0637176
"civil servant"	0.0635969
"school district"	0.0634547
"garment worker"	0.0634486
Liberian	0.0633125
"blood donor"	0.0632623
returnees	0.0628276
Nicaraguan	0.0627622
Jordanian	0.0627256
"job seeker"	0.0625921
elector	0.0625884
Chilean	0.0624838
Davidians	0.0623586
enumerators	0.0621349
subscriber	0.0620884
homebuyers	0.0618119
"public servant"	0.0615726
job-seekers	0.0613606
landlord	0.0611308
"senior citizen"	0.0609067
Navajos	0.060835
cardholders	0.0607631
holidaymaker	0.0607296
Cambodian	0.060689
grower	0.0606517
"military personnel"	0.0604174
"union worker"	0.060259
hemophiliac	0.0600524
stockholder	0.0599725
Fishermen	0.0599517
bidder	0.0598174
pupil	0.0597855
buyer	0.0592466
Kuwaiti	0.0591582
patron	0.0588827
Tibetans	0.0588711
employer	0.0586409
lender	0.0586351
Singaporean	0.0586317
Cypriot	0.0585644
"home buyer"	0.0584942
"Iraqi POWs"	0.0583526
autoworkers	0.0581233
"family member"	0.0581075
insurer	0.0580909
immigrant	0.0580757
schoolchildren	0.0580735
merchant	0.0580453
"drug addict"	0.0576875
illegals	0.0575735
Indonesian	0.0575566
asylum-seekers	0.0575072
attendees	0.0572705
emigrant	0.0572103
Ugandan	0.0572095
Koreans	0.0570213
"Paula Corbin Jones"	0.056872
"insurance company"	0.0568389
"card holder"	0.056327
Arizonan	0.0563191
"farm worker"	0.056233
Angolan	0.0562298
marcher	0.056103
lobstermen	0.0558752
"faculty member"	0.0558681
prisoner	0.0558619
Aborigine	0.0557799
traveler	0.0556965
contractor	0.0556806
nonprofits	0.0555196
"political detainee"	0.0555101
homeless	0.0555039
Missourian	0.055483
Ukrainians	0.0554465
aspirant	0.0553933
villager	0.0553186
test-takers	0.0551633
"East Timorese"	0.055153
"San Franciscans"	0.0550804
motorist	0.0548531
"church member"	0.0548011
seller	0.0546192
youngster	0.0545793
Kenyan	0.0545757
"wage earner"	0.0544683
"Legal Aid Society"	0.0543505
seafarer	0.0542553
Texan	0.0542359
Iraqi	0.0541035
laid-offs	0.0538699
Zimbabwean	0.0537973
"sacred cow"	0.0537917
ISPs	0.0537159
"Greek Cypriots"	0.0536869
businessmen	0.0535727
"political prisoner"	0.053442
"Russian bank"	0.0534286
businesspeople	0.0534195
Ethiopian	0.0534153
"Central American"	0.0533799
Salvadoran	0.0532934
"skilled worker"	0.0532902
trainee	0.0530888
Nepalese	0.0530088
petitioner	0.0530086
kindergartners	0.052956
non-Jew	0.0528822
Bosnians	0.0528025
"college student"	0.0525659
felon	0.0524371
"Kosovo Albanians"	0.0524263
shuttlers	0.0524011
Mexican	0.052313
Burundian	0.0522068
"work unit"	0.0521033
"coal miner"	0.0520879
telemarketers	0.0519824
servicemen	0.05187
issuers	0.0517719
Lebanese	0.0517675
motorcyclists	0.0517055
"displaced person"	0.0516838
deportee	0.0515954
part-timer	0.0512718
foreigner	0.0512266
respondent	0.0512122
renter	0.0511174
Zambian	0.0510358
tenant	0.0509067
dropout	0.0507884
Hungarian	0.0507017
franchisees	0.050621
))
(claimer (desc 1073.47) (sims
"foreign service officer"	0.120822
gelding	0.117026
"claiming race"	0.106887
segregationist	0.105392
"personal loan"	0.101778
"Black Panther"	0.100967
"exotic dancer"	0.095331
"NBA All-Star"	0.0943806
yearling	0.0912153
"Eric Cantona"	0.0885648
"Oliver McCall"	0.0852814
"security consultant"	0.085101
"altar boy"	0.0834577
"Gold Glove"	0.0814037
"drama critic"	0.0814007
infantryman	0.0806407
"Cash Run"	0.0788338
paramour	0.0773763
highflier	0.0768596
"top dog"	0.0765807
"boy wonder"	0.0742673
"Pro Bowler"	0.0735565
toolbox	0.073274
"Linda Jones"	0.0718966
nunnery	0.0701867
"Favorite Trick"	0.06987
"Richard Jewell"	0.0697012
"belly dancer"	0.0688062
"Donn Handicap"	0.0688023
Bruguera	0.0683134
"Jean-Philippe Gatien"	0.0682583
"Buster Douglas"	0.0681788
"nest egg"	0.0676259
retainer	0.0675086
"sticker price"	0.0671858
pinup	0.0665599
"Thunder Gulch"	0.0662049
Bostonian	0.0659025
"engagement ring"	0.0655718
"Keith Olbermann"	0.0654941
"Alex Zanardi"	0.0652457
stuntman	0.0650216
patrolman	0.0649782
"Texas longhorn"	0.0649619
"stay of execution"	0.064474
"pay cut"	0.0642392
"volleyball player"	0.0641908
wunderkind	0.0638543
"postmaster general"	0.0635455
Athenian	0.0633915
debutante	0.0633303
wallflower	0.0630789
"first pitcher"	0.0630688
"savings bond"	0.0628691
vaulter	0.0627381
seminarian	0.0624763
underling	0.062447
playroom	0.062378
copywriter	0.0621242
"dividend payment"	0.0621181
V-@.	0.0619843
Mortimer	0.0617162
"Chris Antley"	0.0616991
"expense account"	0.0616838
stipend	0.0612531
fencer	0.0609499
kayaker	0.0609144
"law partner"	0.0608648
"Michael Moorer"	0.0607707
"John Vanbiesbrouck"	0.0607559
"Stan Collymore"	0.0607103
"sports writer"	0.0606723
PRICETAG	0.0604763
spymaster	0.0604328
alimony	0.0604309
"cabinet member"	0.0603651
Atlantan	0.0601614
"Frank Bruno"	0.0598921
"TV star"	0.0598557
Iditarod	0.0597013
sportswriter	0.059594
"Louisiana Derby"	0.0595923
"hockey coach"	0.0595644
Solis	0.0590771
Ava	0.0587886
"fashion model"	0.0587602
"Blaine Wilson"	0.0587456
"police lieutenant"	0.0586108
subwoofer	0.058595
ESCALADE	0.0585836
"Todd Eldredge"	0.0585762
prizefighter	0.0584095
"Mike Espy"	0.0583547
"chicken coop"	0.0578956
"farm boy"	0.0578004
"eye doctor"	0.0577997
"radio announcer"	0.0573774
"slush fund"	0.0572725
"baseball coach"	0.0571426
"Eddie Cheever"	0.057081
"lieutenant general"	0.0570137
tomboy	0.0569809
serviceman	0.0567387
delinquent	0.0566388
"eagle scout"	0.0565794
"partner in crime"	0.0565666
"Jose Maria Olazabal"	0.056485
"licensing fee"	0.0564384
"Colin McRae"	0.0563659
geophysicist	0.0563591
"Bobby Rahal"	0.056352
Anees	0.056349
"family unit"	0.0562332
surety	0.0560892
"Banshee Breeze"	0.0560616
Kurd	0.0560415
madam	0.0559468
"Maria Mutola"	0.0559363
"big leaguer"	0.0558544
"department employee"	0.0557835
lawman	0.055726
"Michael Milken"	0.0556506
triathlete	0.0555782
"A.P Indy"	0.0555325
Godot	0.0554982
Profiler	0.0554192
bookkeeper	0.0553441
beamer	0.0553258
exterminator	0.0552859
"Desert Hero"	0.0552678
quarter-finalist	0.055071
bequest	0.0550325
"Texas ranger"	0.055024
"Houston Comets"	0.0548513
bodybuilder	0.0548036
"ball club"	0.0547667
slapper	0.0547407
"Robert Ray"	0.0547356
"John Connally"	0.0546676
ghostwriter	0.0546417
yachtsman	0.0545913
"tax deduction"	0.054477
stakes	0.0544045
"income bracket"	0.0542799
"June Jones"	0.0541011
"break of serve"	0.0540812
"Christian Democrat"	0.054038
"Florida Derby"	0.0540308
"naval officer"	0.0540282
"dark horse"	0.053996
whistleblower	0.0538747
"Paul Merson"	0.0538073
"Johan Museeuw"	0.0537379
"line of credit"	0.0536966
"won-lost record"	0.0534352
keyboardist	0.0533544
"Susie O'Neill"	0.0532668
"boarding house"	0.0531758
"Juan Montoya"	0.0531686
"Air Lanka"	0.0530531
"Krishna Prasad Bhattarai"	0.0529925
shipmate	0.0529653
Knick	0.05293
midshipmen	0.0529055
"BRIAN MEADOWS"	0.0527599
alderman	0.0527154
"ballet dancer"	0.0526521
Lien	0.0525117
"foster mother"	0.0522563
"Defensive Player"	0.0522451
"boom town"	0.0521983
"pole vaulter"	0.0521645
brooch	0.0519836
"Elvis Stojko"	0.0518976
"grad student"	0.051889
screamer	0.0518658
"Steve Backley"	0.0518093
Dragila	0.0515986
"face lift"	0.0515331
"Li Xuemei"	0.0514868
"race horse"	0.0514668
showgirl	0.0514094
wristwatch	0.0514089
speechwriter	0.0512761
"New Democrat"	0.0511629
councilwoman	0.0511611
Bhattarai	0.0511102
first-rounder	0.0510653
Chilukki	0.0509695
"little leaguer"	0.0509323
welder	0.0508582
"Rhodes Scholar"	0.0507484
sunroof	0.0507395
"Richard Cheney"	0.0506702
"aerospace engineer"	0.0505333
Hoch	0.0505295
"American Pete Sampras"	0.0504863
"hockey player"	0.0504104
"promissory note"	0.0502109
"Roy Romer"	0.0501033
))
("claiming race" (desc 1722.99) (sims
"Cup Juvenile"	0.14142
"Kentucky Oaks"	0.122918
"starting gate"	0.11269
"Jim Dandy"	0.110411
"Cup Classic"	0.110028
claimer	0.106887
"Blue Grass"	0.106351
"Pacific Classic"	0.100582
"black-eyed Susan"	0.0991758
"San Felipe"	0.0979485
"Florida Derby"	0.0866527
stakes	0.0782329
"winner's circle"	0.0763111
Dwyer	0.076302
paddock	0.0752196
"Jockey Club Gold Cup"	0.0746885
"Santa Anita Derby"	0.0740217
"Belmont Stakes"	0.0691449
Travers	0.0682455
Preakness	0.0674516
"Louisiana Derby"	0.0664354
"London Marathon"	0.0663869
"Dubai World Cup"	0.0655827
PRICETAG	0.0655124
sickout	0.0624209
"Santa Anita Handicap"	0.0620731
"Nagano Olympics"	0.0592308
"New York City Marathon"	0.0587445
"personal loan"	0.0573227
"engagement ring"	0.0552508
"San Rafael"	0.0537084
"Daytona @@@"	0.0535055
"Arkansas Derby"	0.0533698
"dividend payment"	0.05229
"bottom of the inning"	0.0519008
"up to @.@ percent"	0.0517166
Oaks	0.0516961
"Nissan Open"	0.0516524
maiden	0.0507998
homestretch	0.0496841
"Buick Invitational"	0.0490626
"National Invitation Tournament"	0.0487982
raffle	0.0482636
Malmo	0.0482503
"dead heat"	0.0472147
"bankruptcy protection"	0.0466636
innings.	0.0462712
"hole in the ground"	0.0461268
brooch	0.0449263
"Wood Memorial"	0.0448339
"Gold Cup"	0.0442446
"nest egg"	0.0442091
"up to @@.@ percent"	0.044135
midstream	0.0438599
"time slot"	0.0435709
"sticker price"	0.0434276
"Grammy Awards"	0.043361
"savings bond"	0.0430534
"Hollywood Gold Cup"	0.0424302
"track meet"	0.0421711
retainer	0.0415664
playlist	0.0415551
parentheses	0.0414309
half-point	0.0413865
"income bracket"	0.0412851
toolbox	0.0411641
Dumpster	0.0411582
backstop	0.0408578
nightcap	0.040806
"list price"	0.0404757
))
(Claire (desc 8645.34) (sims
Debbie	0.106773
Eileen	0.100587
"Azizah Ismail"	0.0980424
Susan	0.0952053
Cathy	0.0932958
Cindy	0.0925933
Kathleen	0.0919479
Graziano	0.0910689
Lynne	0.0904548
Christine	0.0891364
Carolyn	0.0886861
Diane	0.0882653
Kristin	0.0881147
Maureen	0.0880034
Kathy	0.0877709
Sonia	0.0875171
Doris	0.0869812
Pam	0.0859712
Sara	0.0847491
Brenda	0.0828099
alicia	0.0826286
Julia	0.0822909
Rachel	0.0822287
Nancy	0.0817835
Lori	0.0815624
Frances	0.0809687
"Leigh Ann"	0.0800871
Dorothy	0.0800245
Evelyn	0.0798362
Tracey	0.0789009
Margaret	0.0784221
Sarah	0.0781535
Pauline	0.0781248
anna	0.0778894
Stephanie	0.0777532
"Fred Claire"	0.0774728
Olga	0.0770925
Barbara	0.0769849
Lisa	0.076735
Jacqueline	0.0759791
Hadassah	0.0758328
Teresa	0.0757365
Jill	0.0755211
Patricia	0.0754336
Jennifer	0.0753625
Julie	0.0751076
Beth	0.0747892
Cherie	0.0745099
Sheila	0.0744
Shirley	0.0742969
Katie	0.0742116
Suzanne	0.0742116
Edith	0.0737401
Brooke	0.073358
Liz	0.0733499
Juanita	0.0733125
JoAnne	0.0732739
Millie	0.0732616
Marie	0.073247
Beverly	0.0731366
Valerie	0.0724967
Linda	0.0722599
Annie	0.0719912
Donna	0.0718781
Erin	0.0718071
Helen	0.071686
Amy	0.0716446
Lois	0.0716096
Polly	0.0714674
ANN	0.0711611
Betty	0.0711396
Marian	0.071076
Sylvia	0.0710417
Michele	0.0709018
Vicki	0.0708686
Laura	0.0706558
Claudia	0.0705162
Beatrice	0.0703165
Clara	0.0701962
Irina	0.0696952
Alexandra	0.0696117
Elaine	0.069587
Judy	0.0693936
Joan	0.069304
Schottenheimer	0.0690939
Debra	0.0690911
Karen	0.0685177
Andy	0.0683752
Andrea	0.068132
Stella	0.0680007
Kimberly	0.0677637
Wren	0.0677092
Carol	0.0676001
Kathryn	0.0674345
Judith	0.0674203
Nicole	0.0672755
Terri	0.0671645
Cheryl	0.0670496
Hargrove	0.0668562
Melissa	0.0666768
Rebecca	0.066565
Elena	0.066473
Leah	0.0662788
Theresa	0.0660343
Audrey	0.0659734
Josephine	0.0658852
Jessica	0.0657
Vera	0.0654811
Ellen	0.0654103
Monique	0.065011
Keenan	0.0647545
Meredith	0.0644641
Catherine	0.0643
Mona	0.064115
Connie	0.0641087
Michelle	0.0639548
Sandra	0.0639537
Sally	0.0637716
Janet	0.0637605
Kate	0.0637589
Angela	0.0637588
Stepashin	0.0636922
Eleanor	0.0636795
Lasorda	0.0636535
Alice	0.0634632
Azizah	0.0632101
Zambrano	0.063157
Sheryl	0.0631294
"Davey Johnson"	0.0627196
"Graca Machel"	0.0625561
becky	0.0625445
Phyllis	0.0625293
Caroline	0.062445
Ruthardt	0.0623998
Katherine	0.0622869
Leslie	0.0621843
Emily	0.0621362
Janice	0.0620239
colleen	0.0620059
Miriam	0.0619004
Tina	0.0618269
Jane	0.0617102
Lucy	0.0616053
Esther	0.0612209
Lydia	0.0609116
Tipper	0.0608311
Dora	0.060756
Shannon	0.0604155
Jenny	0.0603151
Vivian	0.0603008
Vanessa	0.0602343
Marlene	0.0600209
Nina	0.0600145
Peggy	0.0599351
Rita	0.0598775
Marilyn	0.0597808
Havelange	0.0593853
Laurie	0.0593449
Gail	0.0592305
"Patsy Ramsey"	0.0591955
Lundberg	0.0590994
Stacy	0.0589147
Lynn	0.0588694
Annette	0.05884
Natalie	0.0587776
Karenna	0.0586138
Marianne	0.0585233
Samantha	0.0584415
Roberta	0.0583085
Jamie	0.0581176
Sharon	0.0579416
Nora	0.0576938
Louise	0.0573357
"Carolyn Bessette Kennedy"	0.057305
Anne	0.0572153
Ftorek	0.0572115
Rhonda	0.057039
GRUNFELD	0.0569739
Duquette	0.0569549
Lucia	0.0568703
Melanie	0.0567692
Ruth	0.0564141
Wanda	0.0561946
Maggie	0.0561139
Jackie	0.0560639
Milutinovic	0.0560127
Musharraf	0.0557747
Chamberlain	0.0557191
Martha	0.055476
Meg	0.0553325
Danny	0.0552989
Selig	0.0552376
Winnie	0.0552227
"Brian Cashman"	0.0549801
Kassirer	0.054932
Lara	0.0546474
Daft	0.0545318
Claude	0.0543283
Sophie	0.0542748
Christina	0.0541871
))
("Claire Danes" (desc 3001.31) (sims
"Minnie Driver"	0.16567
"Uma Thurman"	0.157946
"Cameron Diaz"	0.135403
"Geena Davis"	0.132671
"Cate Blanchett"	0.116597
"Juliette Lewis"	0.114771
"Patricia Arquette"	0.113654
"Kate Winslet"	0.112607
"Melanie Griffith"	0.111159
"Frances McDormand"	0.110109
"Kim Basinger"	0.10944
"Salma Hayek"	0.107919
"Kate Hudson"	0.107666
"Ben Affleck"	0.106581
"Kathy Bates"	0.106368
"Bridget Fonda"	0.106139
"Winona Ryder"	0.105052
"Jennifer Love Hewitt"	0.10423
"Calista Flockhart"	0.103784
"Billy Bob Thornton"	0.103186
"Bill Paxton"	0.103127
"Catherine Deneuve"	0.100095
"Billy Crudup"	0.0989955
"Glenn Close"	0.0985631
"Woody Harrelson"	0.0979789
"Janet McTeer"	0.097929
"Vanessa Redgrave"	0.0939003
"Michelle Pfeiffer"	0.0937476
"Halle Berry"	0.0932644
"Susan Sarandon"	0.0922572
"Jeremy Northam"	0.091801
"Jodie Foster"	0.091666
"Gwyneth Paltrow"	0.0900415
"Angelina Jolie"	0.0897315
"Rupert Everett"	0.0893449
"John Cusack"	0.0890628
"Johnny Depp"	0.0884432
"Ben Stiller"	0.088154
"Kirsten Dunst"	0.0868298
"Brooke Shields"	0.085794
"Omar Epps"	0.085328
"Meryl Streep"	0.0848411
"Angela Bassett"	0.0831031
"Sharon Stone"	0.0827883
"David Duchovny"	0.0826303
"Ashley Judd"	0.0817465
"Kevin Costner"	0.0813728
"Chloe Sevigny"	0.0810436
"Gillian Anderson"	0.0809477
"Natasha Richardson"	0.0807256
"James Van Der Beek"	0.0805206
"Carmen Electra"	0.0800017
"Hilary Swank"	0.0797032
"Anne Heche"	0.0789069
"Ethan Hawke"	0.0787641
"Nick Nolte"	0.0777792
"Kate Moss"	0.0776668
"Bill Pullman"	0.0773154
"Richard Gere"	0.0772837
"Mike Myers"	0.077136
"Tyra Banks"	0.0770956
"Sigourney Weaver"	0.0769747
"Vince Vaughn"	0.0766268
"Jennifer Aniston"	0.0760545
"Martin Sheen"	0.0759772
"Liv Tyler"	0.0758458
"Helen Hunt"	0.0751998
"Natalie Portman"	0.0750747
"Vanessa Williams"	0.0747624
Dane	0.0744639
"Matt Damon"	0.0744563
"Jane Fonda"	0.0744066
"Edward Furlong"	0.0741772
"Faye Dunaway"	0.0738402
"Julia Roberts"	0.0728924
"Camryn Manheim"	0.0724057
"Annette Bening"	0.0718289
"Penelope Cruz"	0.0712519
"Geoffrey Rush"	0.0706053
"Drew Barrymore"	0.0702923
"Gene Hackman"	0.0693882
"Jeremy Irons"	0.0688842
"Sarah Jessica Parker"	0.0688156
"Nicole Kidman"	0.0685747
"Giovanni Ribisi"	0.068566
"Harvey Keitel"	0.0682607
"Julianne Moore"	0.0679567
"Jennifer Lopez"	0.066293
"Emily Watson"	0.0651311
"Sally Field"	0.0649232
"John Goodman"	0.0647172
"Nigel Hawthorne"	0.0644354
"Alicia Silverstone"	0.0643717
"Sarah Michelle Gellar"	0.0643091
"Jimmy Smits"	0.0642159
"Tommy Lee Jones"	0.0641011
"Jon Voight"	0.0640717
"Jeff Bridges"	0.0640287
"Joaquin Phoenix"	0.0632942
"Lauren Bacall"	0.0629621
"Kevin Kline"	0.0629481
"Gabriel Byrne"	0.062683
GERE	0.0619413
"Bette Midler"	0.0618549
"Kathleen Turner"	0.061498
"Richard Dreyfuss"	0.0614972
"Gregory Peck"	0.0611453
"Mia Farrow"	0.0608879
"Ian Holm"	0.0607657
"Brad Pitt"	0.0604793
"Reese Witherspoon"	0.0601916
Kidman	0.0601792
"Harrison Ford"	0.0599286
"Chevy Chase"	0.059895
"Brendan Fraser"	0.0598489
"Martin Lawrence"	0.0598347
DiCaprio	0.0597744
"Wesley Snipes"	0.0589212
"Whoopi Goldberg"	0.0585744
"Leelee Sobieski"	0.0582965
"Sean Penn"	0.0581781
"Marlene Dietrich"	0.0573177
"Stellan Skarsgard"	0.0570896
"Donald Sutherland"	0.0568209
"Elizabeth Hurley"	0.0566638
"Rob Lowe"	0.0564414
"Meg Ryan"	0.0559874
"Tim Robbins"	0.05551
"Alec Baldwin"	0.0553865
"Kevin Bacon"	0.0553439
"Sela Ward"	0.0552373
"Michael Douglas"	0.055178
"Nicolas Cage"	0.0550995
"Andre Braugher"	0.0549278
"Goldie Hawn"	0.0545456
"Mark Wahlberg"	0.054458
"Courtney Love"	0.0542758
"Heather Graham"	0.0542301
"Rosie O'Donnell"	0.0541835
"Brigitte Bardot"	0.0541574
"Janet Jackson"	0.0537747
"Brian Dennehy"	0.0536915
"Chow Yun-Fat"	0.0536765
"Christian Bale"	0.0535867
"Dustin Hoffman"	0.0535762
"Ally Sheedy"	0.0535004
"John Lithgow"	0.0534712
"Eddie Murphy"	0.0534465
"Brenda Blethyn"	0.0532524
"Ryan Phillippe"	0.0532378
"Joan Allen"	0.0532213
"Sean Connery"	0.0531597
"Christopher Walken"	0.0531364
"Patrick Stewart"	0.053013
"Paul Newman"	0.0530063
"Burt Lancaster"	0.0529217
"Jimmy Stewart"	0.052916
"Sidney Poitier"	0.0529002
"Aidan Quinn"	0.0527406
"James Cagney"	0.0527087
"Elizabeth Taylor"	0.0526469
"Jamie Lee Curtis"	0.0526301
"Tim Allen"	0.0525643
"Danny DeVito"	0.0523861
"Hugh Grant"	0.0521168
"John Malkovich"	0.0515842
"Henry Fonda"	0.0513519
"John Travolta"	0.0511408
"Tracey Ullman"	0.0508849
Pullman	0.0506204
"Ralph Fiennes"	0.0506115
"Katharine Hepburn"	0.0504354
"Audrey Hepburn"	0.0504076
"Matthew Perry"	0.0501613
"Ewan McGregor"	0.04974
"George Clooney"	0.0494183
"Edward Norton"	0.0492884
"Joseph Fiennes"	0.0488238
"Helen Mirren"	0.0486378
"Kevin Spacey"	0.0485452
"Christina Ricci"	0.0485002
"Robert DeNiro"	0.0484049
"Stephen Rea"	0.0483446
"Stanley Tucci"	0.0482425
"young actress"	0.0480255
"Holly Hunter"	0.0478738
"William H. Macy"	0.0477337
"John Cleese"	0.047536
"Will Smith"	0.0475255
"Pierce Brosnan"	0.0473579
"Michael Caine"	0.0473511
"Denis Leary"	0.0470857
"James Earl Jones"	0.0470736
"Matthew McConaughey"	0.0466832
"Famke Janssen"	0.0466325
"Albert Brooks"	0.0465518
"Tom Sizemore"	0.0464593
"Bruce Willis"	0.0462362
"Tobey Maguire"	0.0461713
"Cary Grant"	0.0460839
))
(clam (desc 12978.1) (sims
mussel	0.269229
oyster	0.230643
shrimp	0.213838
crab	0.207366
scallop	0.203455
lobster	0.187393
shellfish	0.15828
prawn	0.152111
squid	0.145136
abalone	0.141465
crawfish	0.140072
spinach	0.138374
mushroom	0.13501
calamari	0.132643
tomato	0.129331
"sea urchin"	0.126784
eggplant	0.125216
asparagus	0.123803
bean	0.123675
salmon	0.122635
seafood	0.121811
anchovy	0.120889
tuna	0.119899
potato	0.11868
fish	0.116793
noodle	0.115889
crustacean	0.115628
onion	0.114803
artichoke	0.11409
pasta	0.113957
octopus	0.113846
conch	0.112998
chicken	0.112897
zucchini	0.112115
snail	0.111597
Broccoli	0.111002
eel	0.110679
shallot	0.110249
vegetable	0.109981
Chickpea	0.108582
pork	0.10707
Garlic	0.105933
meatball	0.105681
veggie	0.105552
"chicken breast"	0.104491
"black bean"	0.104186
sardine	0.103776
meat	0.103662
sausage	0.102459
ham	0.0992254
leek	0.0990398
pea	0.0974173
Starfish	0.0973913
"smoked salmon"	0.0970079
"sea cucumber"	0.0969763
"sea bass"	0.0967306
cod	0.0964968
seaweed	0.0961139
"foie gras"	0.095853
tomatillo	0.0953382
pineapple	0.0952081
steak	0.0951396
kelp	0.0940314
cucumber	0.0936051
okra	0.0935143
sauerkraut	0.0928305
mollusk	0.0925209
"sweet potato"	0.092319
plantain	0.0917595
fennel	0.0912542
chilies	0.0905309
"blue crab"	0.0901595
pear	0.0900967
spaghetti	0.0899445
broth	0.0894545
tofu	0.0890063
beet	0.0885848
scallion	0.088416
"tomato sauce"	0.0881663
cheese	0.0881424
"green bean"	0.0874338
salad	0.0872196
celery	0.0868912
caviar	0.0862821
Catfish	0.0858748
pesto	0.0858655
egg	0.085533
tortilla	0.0846699
"coconut milk"	0.0844907
"chicken wing"	0.0844116
lentil	0.0843919
corn	0.0843727
monkfish	0.0837611
lettuce	0.0836681
pepper	0.0836464
sauce	0.0835102
Chili	0.0834997
cabbage	0.0830136
herb	0.0817814
soup	0.080912
crabs	0.0806639
halibut	0.0806189
carrot	0.0804266
jalapeno	0.0793293
beef	0.0790403
kernel	0.079019
"red pepper"	0.0777482
flounder	0.0772417
coconut	0.0772347
pumpkin	0.0771689
parsley	0.0769375
bacon	0.0765892
fillet	0.0765724
dumpling	0.076222
"red snapper"	0.0760283
lamb	0.0759725
hazelnut	0.0758687
bread	0.0752255
cornbread	0.0751576
lemongrass	0.0749867
ginger	0.0746352
cutlet	0.0746322
veal	0.0744852
olive	0.0741239
cilantro	0.0737547
apricot	0.0737434
meatloaf	0.0737156
morel	0.073402
Basil	0.0731261
rice	0.0731073
blueberry	0.0729116
"bell pepper"	0.0726542
"rack of lamb"	0.0725637
invertebrate	0.0725588
truffle	0.0722772
rind	0.0719961
berry	0.0718146
chiles	0.0717194
peanut	0.0715835
cauliflower	0.0715066
croutons	0.0714406
agave	0.0714179
tortoise	0.0714119
sprout	0.071313
fruit	0.0713019
pecan	0.0712027
puree	0.0711549
avocado	0.0711083
"water chestnut"	0.07075
gizzard	0.0707338
fig	0.0707038
"goat cheese"	0.0707019
squash	0.0706714
"roast beef"	0.0702828
radish	0.0702774
quail	0.0702669
"gentle breeze"	0.0698918
"black olive"	0.0697932
thyme	0.0697555
mango	0.0697488
"fish fillet"	0.0695755
crayfish	0.0693606
"string bean"	0.0689757
prosciutto	0.0689281
arugula	0.068716
turnip	0.0677716
peach	0.0672826
"bean sprout"	0.0672378
"chicken stock"	0.0670651
"brussels sprout"	0.06672
raisin	0.0664975
nut	0.0659519
lemon	0.0657137
"chicken broth"	0.0656409
tortellini	0.0656187
curry	0.0654074
"ground beef"	0.0653951
"green onion"	0.0653075
"spring roll"	0.0652355
"sour cream"	0.0650533
custard	0.0650261
"cherry tomato"	0.0647115
RHUBARB	0.0646132
grouper	0.0645814
brisket	0.0645677
chowder	0.0645535
melon	0.0640255
confit	0.0639992
Quince	0.0639428
polenta	0.06383
macaroni	0.0633691
worm	0.0633381
sushi	0.0631555
"filet mignon"	0.063123
raspberry	0.0630374
cranberry	0.0629206
Tamarind	0.062808
"cold cuts"	0.0627171
herring	0.0624303
salsa	0.0621381
))
(clamor (desc 9654.76) (sims
outcry	0.123563
groundswell	0.097108
furor	0.0851698
outpouring	0.0827247
cry	0.0801028
uproar	0.0772035
firestorm	0.0752484
backlash	0.074921
misperception	0.0745803
enthusiasm	0.0742707
criticism	0.0709598
commotion	0.0706226
sentiment	0.0696992
entreaty	0.0683728
appetite	0.0683502
outrage	0.0683362
"hue and cry"	0.0680332
hubbub	0.067987
plea	0.0647148
chorus	0.0643531
hunger	0.0631048
frenzy	0.0629553
controversy	0.0627139
drumbeat	0.062567
rumblings	0.0621533
thirst	0.0620777
murmur	0.0617496
jitters	0.0602576
hysteria	0.059895
yearning	0.0598061
acrimony	0.0596925
speculation	0.0594535
pessimism	0.0593817
buzz	0.0593137
Din	0.0587532
uneasiness	0.0586637
hoopla	0.0586509
cacophony	0.0585655
"sonic boom"	0.0584627
"consumer demand"	0.0581139
unease	0.057989
distaste	0.0577991
adulation	0.0573651
noise	0.0568127
ruckus	0.0567737
excitement	0.0566774
skepticism	0.0565531
panic	0.0565377
impatience	0.0564258
dissension	0.056058
disillusionment	0.0558897
unrest	0.0554273
fuss	0.0553144
dissatisfaction	0.054064
disenchantment	0.0539096
anxiety	0.0534811
volatility	0.0534579
"public debate"	0.0533897
outburst	0.0533132
turbulence	0.0531682
chatter	0.0531598
resentment	0.0530485
consensus	0.0525505
discontent	0.052479
urgency	0.052228
backing	0.0521675
temptation	0.0514843
nervousness	0.0514576
consternation	0.0510625
"good word"	0.0510061
objection	0.0505737
mood	0.0504671
condemnation	0.0503678
roadmap	0.0502539
euphoria	0.0500452
begging	0.0498926
instability	0.0498742
acceptance	0.0496619
confusion	0.0494452
distraction	0.049424
groundwork	0.0493361
disquiet	0.0493238
fury	0.0492184
eagerness	0.0491442
frustration	0.0490995
rhetoric	0.0490743
"proxy fight"	0.0490719
brouhaha	0.0488864
rationale	0.0488824
repercussion	0.0488566
apathy	0.0488045
overture	0.048548
influx	0.0484848
babble	0.0482164
flurry	0.0477522
hardship	0.047751
friction	0.0477153
distrust	0.0476861
"crime wave"	0.0475291
howl	0.047435
apprehension	0.0474061
chaos	0.0474007
bitterness	0.0472053
uncertainty	0.0471633
sympathy	0.0471319
jostling	0.0470696
peep	0.047017
carnage	0.046825
"cost of living"	0.046771
agitation	0.046567
applause	0.0464757
lawlessness	0.0463181
disparity	0.0460376
"religious movement"	0.0459973
affection	0.0459922
revolt	0.0459648
fervor	0.0458608
rioting	0.0454503
"guessing game"	0.0453677
dissent	0.0453466
esteem	0.0452416
optimism	0.0451511
craving	0.0451106
revulsion	0.0450116
skittishness	0.0449488
bloodletting	0.0448857
misgiving	0.0448765
disturbance	0.0448
upsurge	0.0444576
interlude	0.0444021
tumult	0.0443554
justification	0.0443381
disaffection	0.0443329
upheaval	0.0442439
desperation	0.0440691
indignation	0.0440459
publicity	0.044027
hostility	0.0439477
calling	0.0438437
flak	0.043788
"borrowing cost"	0.0435361
suspicion	0.0434658
outlay	0.0434563
impulse	0.0433605
gridlock	0.0431991
hesitancy	0.0431187
finger-pointing	0.0430518
wrangling	0.0429624
"price increase"	0.0429065
dilemma	0.0428981
fad	0.0428756
exodus	0.0428608
restlessness	0.0427769
wariness	0.0426654
ambiguity	0.0426512
unanimity	0.0426218
ambivalence	0.0425644
ire	0.0424816
craze	0.0424001
consolidation	0.0423548
"rallying cry"	0.0423541
spate	0.0422054
disapproval	0.0421231
laughter	0.0420196
query	0.04198
backlog	0.0419324
rejection	0.041902
discomfort	0.0419001
skeptic	0.0418899
horde	0.0417944
insecurity	0.041735
squabble	0.0417056
anguish	0.0416738
recrimination	0.0416642
throng	0.0416298
affluence	0.0416108
largesse	0.0416016
hand-wringing	0.0415711
angst	0.041476
hankering	0.0414578
flap	0.0414559
edginess	0.0414508
onslaught	0.0414416
synergy	0.0414261
Distress	0.0411398
"cash crunch"	0.0410377
Ripple	0.0410223
intensity	0.0410088
marginalization	0.0409443
clout	0.0409098
ferment	0.0408949
"arms race"	0.0408559
denouncement	0.04084
downturn	0.0408167
hatred	0.0407764
bickering	0.0407365
disdain	0.0407357
tide	0.040707
ardor	0.040695
deluge	0.0406344
))
(clamp (desc 4810.86) (sims
stapler	0.111424
fastener	0.0921752
pulley	0.0847934
scissors	0.0766012
suture	0.0722907
screw	0.0714035
screwdriver	0.0705399
handcuff	0.0683696
tether	0.0674948
connector	0.0634637
nozzle	0.0632739
glue	0.0624533
"rubber band"	0.0604991
washer	0.0604736
tweezer	0.0603475
tubing	0.0572968
electrode	0.0570967
vise	0.0562773
dowel	0.055988
trowel	0.0556812
sheeting	0.0547217
bandage	0.0538989
straitjacket	0.0536973
padding	0.0527468
"hand tool"	0.0525726
"fishing line"	0.0525039
needle	0.0520089
winch	0.051891
blinder	0.0518326
lid	0.0514377
rod	0.0510013
onus	0.0505101
"Winning Colors"	0.0496336
scalpel	0.0495581
"pipe bomb"	0.0490473
gauze	0.0488087
"water pump"	0.048411
damper	0.0478092
Zipper	0.0476795
blade	0.0476428
stylus	0.0474954
stanchion	0.0472214
catheter	0.0470513
transistor	0.0470212
Win@@	0.0470068
"filing cabinet"	0.046754
deflector	0.0467422
blinker	0.0466987
"coat of paint"	0.0458793
fitting	0.0457764
mesh	0.0457509
incision	0.0457306
leash	0.0457136
fuzz	0.0456908
noose	0.045654
defibrillator	0.0454905
hose	0.0454875
shredders	0.0454145
sheath	0.0453376
latch	0.045169
"insect repellent"	0.045112
adhesive	0.0450256
scaffold	0.0449499
transformer	0.0448941
"mechanical device"	0.0447408
antenna	0.0445739
shackle	0.0444929
afterburner	0.0444802
hanger	0.0441344
slipcover	0.0440087
injector	0.0439451
skylight	0.0438717
"electronic device"	0.0438287
contraption	0.0437103
sedation	0.0436933
"pedestrian bridge"	0.043676
prong	0.043564
endoscope	0.0435623
casing	0.0432687
asterisk	0.0432235
"human face"	0.0431989
broom	0.0431585
capacitor	0.0430377
decal	0.0428373
"oxygen mask"	0.0428281
cleat	0.0427864
sealer	0.0427819
grabber	0.0426506
stranglehold	0.0426357
lever	0.0423232
alloy	0.0422516
handrail	0.0422442
"space heater"	0.0422146
"electrical device"	0.0420553
"fishing net"	0.0419412
splint	0.0418472
feeler	0.0417643
grinder	0.0414837
kettle	0.0413732
"trash can"	0.0413307
"blood cell"	0.0410949
agro-techniques	0.0410931
"telephone wire"	0.0409386
"seat belt"	0.0408698
grout	0.0407225
"plastic wrap"	0.0407093
clampdown	0.0402551
"explosive device"	0.0401685
ointment	0.0400954
"magnifying glass"	0.0400627
))
(clampdown (desc 6751.48) (sims
crackdown	0.17514
curb	0.10304
restriction	0.0932739
censorship	0.0764053
purge	0.0750077
"policy change"	0.0745263
stayaway	0.0739607
dragnet	0.0719435
airstrike	0.070129
"market correction"	0.0698393
reshuffle	0.0666905
shake-up	0.065721
prohibition	0.0653108
"air attack"	0.0649041
restraint	0.0636783
"management change"	0.0630185
manoeuvre	0.0615542
shakeup	0.0614413
reevaluation	0.0602702
"work stoppage"	0.0598286
stranglehold	0.0591416
cutback	0.0588595
moratorium	0.0578728
"ground attack"	0.0577834
blockade	0.057401
"war game"	0.0572085
"bank withdrawal"	0.0565811
sell-offs	0.0555447
"budget cut"	0.0553418
"rehabilitation program"	0.055198
cover-up	0.0550192
Tightening	0.0547161
stricture	0.0546942
"tax increase"	0.0543513
cordon	0.0538038
reliance	0.0528164
"tax hike"	0.0528023
manhunt	0.0527154
reprisal	0.0524839
Roundup	0.0522142
"job cut"	0.0519537
embargo	0.0517745
repression	0.0516822
closure	0.0512811
"margin call"	0.0511154
"anti-dumping duty"	0.0509124
"deficit spending"	0.0506966
"rate hike"	0.0506782
imposition	0.0506143
sell-off	0.0505141
flare-up	0.0504838
counter-offensive	0.0503677
"volcanic eruption"	0.0503514
"health check"	0.0503355
"security measures"	0.0502099
"military campaign"	0.0501742
rioting	0.0501606
"rate increase"	0.0500735
escalation	0.0499878
"rate cut"	0.0497372
"air raid"	0.0496442
lockdown	0.0495419
retrenchment	0.0494679
"interest rate increase"	0.0494324
"police action"	0.0492198
bloodbath	0.048941
tie-up	0.0482153
presure	0.0481389
privatizations	0.0478137
intrusion	0.0477948
divestitures	0.0475452
deportation	0.0473837
downsizing	0.0473468
"protest march"	0.04728
"legal action"	0.0472772
"military action"	0.0469154
reorganization	0.046781
"change of direction"	0.0467542
drawdown	0.0465767
walkout	0.0465536
"hunger strike"	0.0465194
disbandment	0.0463848
selloffs	0.0463728
bombardment	0.0462372
"U.N. Conference"	0.0459806
"pipe organ"	0.0458851
constraint	0.0457361
break-in	0.0457113
incursion	0.045493
"enforcement action"	0.0454376
suppression	0.0452029
"spending cut"	0.0451253
"price cut"	0.0449713
realignment	0.0449701
"surprise attack"	0.044918
agitation	0.0447755
shutdown	0.0446078
sickout	0.0445983
blackout	0.0445147
shakeout	0.0445094
"bank failure"	0.0444777
"tax change"	0.0444057
curfew	0.0443531
counterattack	0.044338
"corruption scandal"	0.0443229
"reorganization plan"	0.0442275
reshuffling	0.0441874
"price increase"	0.0438509
"civil disobedience"	0.0438294
confiscation	0.0437661
"quota system"	0.043629
revision	0.0436005
damper	0.0435833
"change of mind"	0.0435739
surveillance	0.0434984
"wage freeze"	0.0434577
"arms deal"	0.0430697
"Operation Desert Fox"	0.0430157
selloff	0.0430065
consolidation	0.042929
"marketing campaign"	0.0428623
"election fraud"	0.0428336
onslaught	0.0428025
infringement	0.0426418
"safety measure"	0.0426102
postponement	0.042552
reassessment	0.0424112
lid	0.0421206
"price control"	0.0419569
firing	0.0418805
airstrikes	0.0418714
sacking	0.0418066
divestiture	0.0416519
expulsion	0.0412758
"price reduction"	0.0411162
"price cutting"	0.0410545
deregulation	0.0410255
"brain drain"	0.040986
"fire hose"	0.0407284
provocation	0.0406879
"management shakeup"	0.0406454
defection	0.0406007
layoff	0.0405973
temblor	0.040583
"advertising campaign"	0.0405584
mobilization	0.040545
shelling	0.0405254
"power failure"	0.0404636
closings	0.0404631
liquidation	0.0404273
"fund-raising campaign"	0.0401991
"fund-raising drive"	0.0401259
directive	0.0400153
))
(clan (desc 33917.4) (sims
subclan	0.15117
subclans	0.145915
clansmen	0.135245
faction	0.116921
family	0.107242
tribe	0.103103
militiamen	0.0979441
"Rahanwein Resistance Army"	0.089456
"ethnic group"	0.0890104
gang	0.0857644
caste	0.0857418
warlord	0.0844161
"extended family"	0.0768617
militia	0.0763297
sect	0.0753452
RRA	0.0730401
clique	0.0689117
"political party"	0.0685844
community	0.067929
guerrilla	0.0661841
elder	0.0651768
"Ali Mahdi Mohamed"	0.0650409
militant	0.0649087
dynasty	0.0644693
"Hussein Mohamed Aidid"	0.0636857
"Kosovo Liberation Army"	0.0602176
cartel	0.058787
Muslim	0.0584006
Serbs	0.0582845
rebel	0.057542
KLA	0.0574979
Aidid	0.0570652
ANC	0.0570588
syndicate	0.0565082
"Communist Party"	0.0554709
"family member"	0.0554038
Mafia	0.0553897
Tutsi	0.0551358
christian	0.0550873
MNLF	0.0550857
separatist	0.0549576
loyalist	0.0549564
elite	0.0547526
brother	0.054682
"royal family"	0.0544846
supporter	0.0540217
relative	0.0536771
"Hussein Aidid"	0.0534843
"social group"	0.0526672
denomination	0.0525854
mob	0.0524744
nationalist	0.052131
"Baath Party"	0.0520591
"Congress Party"	0.0520279
gunmen	0.0518747
Mogadishu	0.0517788
Albanian	0.0517355
Protestant	0.0516412
Catholic	0.0513676
tribesmen	0.0511249
"inner circle"	0.0509162
village	0.0507963
politician	0.0507614
PRI	0.0503608
"Orthodox Church"	0.0501092
Hezbollah	0.0498817
UNITA	0.0497311
neighbor	0.0495649
regime	0.049419
army	0.0492829
insurgent	0.0491333
cult	0.0488184
"trade union"	0.0486922
household	0.0485857
"Liberal Democratic Party"	0.0485603
oligarchy	0.0484738
"Democratic Party"	0.0483243
fighter	0.0481731
empire	0.0481442
"South Lebanon Army"	0.048134
Amal	0.0480343
religion	0.0479431
villager	0.0475808
Somali	0.0473802
minority	0.0473606
church	0.0473282
Hutu	0.0471677
sibling	0.0469685
descendant	0.04685
"African National Congress"	0.0468421
follower	0.0466601
neighborhood	0.0464446
society	0.0462605
"business community"	0.0462515
bloc	0.0462249
PKK	0.0462222
Arab	0.046204
culture	0.0461865
FARC	0.0460596
Coalition	0.0459126
PUK	0.0458571
"Nationalist Party"	0.0458162
cleric	0.0457899
SPLA	0.0455447
settler	0.0452921
ancestor	0.0451639
youth	0.045017
"labor union"	0.044894
lineage	0.0447162
nationality	0.044705
"Labor Party"	0.0446244
"Revolutionary United Front"	0.0446151
LRA	0.0443626
dissident	0.0443574
UMNO	0.0443031
activist	0.0442778
"Reform Party"	0.044092
KDP	0.0440374
"Inkatha Freedom Party"	0.0440227
Taliban	0.0440139
farmer	0.0438719
"interest group"	0.0438082
hard-liner	0.0437499
Croats	0.0437188
financier	0.043679
Jew	0.0435993
"armed forces"	0.0435889
conservative	0.0434636
generation	0.042991
inhabitant	0.0428691
ally	0.0427531
guerilla	0.0427322
kidnapper	0.0426669
Hutus	0.0425694
"Socialist Party"	0.0425515
Alliance	0.0425068
IFP	0.0424617
businessmen	0.0423852
"Palestine Liberation Organization"	0.0423425
Tutsis	0.042292
refugee	0.0422738
"Republican Party"	0.0422585
congregation	0.0421352
environmentalist	0.0419896
extremist	0.041972
"security force"	0.0419343
MILF	0.0418703
grandparent	0.0418193
union	0.041777
"Khmer Rouge"	0.0417599
landowner	0.0417435
"Liberation Tigers of Tamil Eelam"	0.041731
tradition	0.0416959
"political leader"	0.0416426
Kurds	0.0416352
Fatah	0.0415909
Golkar	0.0415048
heir	0.0414983
Chechens	0.0414536
Klan	0.0414308
reformist	0.0413897
"Kosovo Albanians"	0.0413816
"religious leader"	0.0412172
Moslem	0.0411542
triad	0.0411241
intellectual	0.0410143
"Northern Alliance"	0.0409385
oligarch	0.0408014
Chechen	0.0407833
band	0.0407181
Ugandan	0.0407085
Kurdish	0.0405886
cousin	0.0405746
patriarch	0.0404262
Kennedys	0.0403768
RUF	0.0403667
fundamentalist	0.0400369
))
(Clancy (desc 4289.68) (sims
"TOM CLANCY"	0.151086
Grisham	0.117414
Casserly	0.0994037
Crichton	0.0889424
Sehorn	0.0879361
"John Grisham"	0.083474
"Patricia Cornwell"	0.0813654
Mehta	0.0793279
Fizer	0.0780573
Chmura	0.0767838
Griffith	0.0767059
Fleischer	0.0766566
Sobel	0.0762995
Spenser	0.0728876
Scarpetta	0.0728078
Fonda	0.0727225
Nickerson	0.0725802
Levin	0.0723326
Midler	0.0712324
Coen	0.0701573
Higgins	0.0693108
Gullikson	0.0691886
Solis	0.0677967
Haynes	0.0662633
Laudrup	0.0659149
Ness	0.0650382
Rubenstein	0.0644602
"Stephen King"	0.0643904
Lett	0.064195
Tallas	0.0640435
"Sam Clancy"	0.0638467
Setzer	0.0635726
Harrick	0.0630573
Keegan	0.062986
Harbaugh	0.0622142
Wolff	0.0620749
Iglesias	0.0620433
Weil	0.0617293
Talebi	0.0616625
Parrish	0.0614205
Andreychuk	0.0613038
Zampese	0.0612586
Baez	0.0611667
Altman	0.060531
Hatcher	0.0599005
Roberts	0.0597678
Steinbeck	0.0596611
Morse	0.0595738
Jaffe	0.0593565
Silverstein	0.058677
Alou	0.0585661
Leetch	0.0585144
Berg	0.0584927
Parris	0.0583654
lacy	0.0583396
Walsh	0.0583136
Mutombo	0.0580458
Monson	0.0579444
Shapiro	0.0579016
Irvin	0.0578171
Cowens	0.0578155
Patterson	0.0577684
"Michael Crichton"	0.0577366
Dixon	0.0576553
Clooney	0.0576294
Bodine	0.0574354
"J.K Rowling"	0.0574183
Summitt	0.0573744
Gardiner	0.057365
Stinnett	0.057179
Brock	0.0569009
Morton	0.056894
Sampson	0.0568855
Muoneke	0.0568836
Levine	0.0568705
Osuna	0.0568465
Berard	0.0566937
Andersen	0.0565018
Schwartz	0.0564815
Wolfe	0.0563681
Finkel	0.0562365
Bourque	0.0561646
Piot	0.056056
Pearson	0.0560034
Kaplan	0.0559402
Muckler	0.0558753
Hoffman	0.0558115
DiCaprio	0.0557421
"De la Cruz"	0.0557191
Gallagher	0.0556515
Hartley	0.0555973
Canty	0.055589
Sutter	0.0555167
Kissinger	0.0554876
Osborne	0.0551654
Wannstedt	0.0548267
Gibbons	0.054677
Hybl	0.0546624
McGuire	0.0546109
Mackenzie	0.0545486
Hitchcock	0.0544915
Dobbs	0.0544613
Parker	0.0543818
Stumpel	0.0542204
Cota	0.054192
Cornwell	0.0541633
Blake	0.054144
McNair	0.0541286
Krzyzewski	0.0539629
McNamara	0.0538141
"Van Horn"	0.0537673
Junger	0.0537466
Harr	0.0536815
Lurie	0.0536797
Neilson	0.0535534
Leventhal	0.053544
Easley	0.0535015
Hanley	0.0534606
Soward	0.0534434
"James Bond"	0.0534434
Gugliotta	0.0532563
Carre	0.0532184
Henson	0.0531979
CORYATT	0.053107
Neely	0.0530919
Wilder	0.0529791
Nabokov	0.0529286
Reiner	0.0527783
Storr	0.0525998
Brooks	0.0525018
Coolidge	0.0524656
Rowling	0.0524527
Durant	0.0523834
Kerouac	0.0523385
Quinn	0.0523254
Wadsworth	0.052247
Ambrose	0.0522004
Maynard	0.0521509
Gottlieb	0.0521313
"Elmore Leonard"	0.0519815
D'Alessandro	0.0519034
Auerbach	0.0518774
Ulrich	0.0518507
Katzenberg	0.0518286
Krugman	0.0517565
Cleary	0.0517
Spielberg	0.0514421
Rosenthal	0.0514341
Gilmour	0.0513656
Dubus	0.0513287
McPherson	0.051287
Mustafa	0.0512496
Tubbs	0.0512216
turner	0.0511799
Mitchell	0.0511795
DiCicco	0.0511156
Gardner	0.0511059
Newman	0.0510741
Brister	0.051058
Ponciano	0.0510534
MacKay	0.0510304
Hackett	0.0509684
Groucho	0.0507934
Washburn	0.0507716
Lindros	0.0507625
Greer	0.050742
Meyers	0.0506086
Snyder	0.0505627
Counsell	0.0504715
Bergeron	0.0503506
HELLER	0.0503124
Kelley	0.0502664
Bure	0.0502375
Segal	0.0501867
McCourt	0.0501635
Puzo	0.0501602
Updike	0.050154
Burroughs	0.0500778
Asprilla	0.0499773
Salinger	0.0498722
sexton	0.0498354
Jamison	0.0498071
Macdonald	0.0497604
McMullen	0.0497052
Okada	0.0496771
Swann	0.0496307
Fortson	0.0496246
"this @@@@"	0.0495824
Arum	0.0495799
Wheatley	0.0495684
Costner	0.0494634
Sim	0.0494538
Schmidt	0.0492576
Baldwin	0.0492073
McGrady	0.0491983
Szczerbiak	0.0491733
Bowden	0.0491367
Kariya	0.0490543
Aikman	0.0490044
Baum	0.0489444
))
(clang (desc 1286.27) (sims
ringing	0.181143
clatter	0.1002
squeak	0.0792697
jingle	0.0713858
cacophony	0.0592762
beep	0.0592083
thud	0.058742
spiel	0.0541851
"loud noise"	0.0532742
"sonic boom"	0.051401
"church bell"	0.0503482
colloquy	0.0483601
"alarm bell"	0.0476991
imaginings	0.047637
squawk	0.0466662
gradation	0.0466114
"full complement"	0.0463644
curvature	0.046292
bogy	0.0446633
cymbal	0.044602
layering	0.0441257
inflection	0.0437305
recounting	0.0435773
Din	0.0430152
syncopation	0.0424676
"one ton"	0.0417663
axiom	0.0415534
foretaste	0.0408404
"all clear"	0.0401924
))
(clansmen (desc 3229.48) (sims
subclans	0.418402
subclan	0.228161
militiamen	0.164077
clan	0.135245
"Osman Hassan Ali Atto"	0.10071
"Ali Mahdi"	0.0721056
"Ali Mahdi Mohamed"	0.0713493
"Osman Atto"	0.0643338
tribesmen	0.0620741
warlord	0.061489
"Greek Cypriots"	0.0604975
"North Africans"	0.0592598
Hutus	0.0587921
Aidid	0.0581043
Kurds	0.0571201
"Hussein Mohamed Aidid"	0.0553235
"Alejandro Toledo"	0.054583
PUK	0.0528511
Ijaw	0.0524936
Croats	0.0522465
"Virtue Party"	0.0522038
squatter	0.0516028
"Hussein Aidid"	0.0496699
"Roosevelt Johnson"	0.0490358
infiltrator	0.0488975
Islamists	0.0485659
Somali	0.0479129
"Patriotic Union of Kurdistan"	0.0474407
UNITA	0.04723
"Liberation Tigers of Tamil Eelam"	0.0471151
"Uganda People's Defense Forces"	0.0470935
"Armed Islamic Group"	0.0466075
Tamil	0.046416
"Allied Democratic Forces"	0.0464069
rustler	0.0462242
"Lord's Resistance Army"	0.0460564
Moslem	0.0455492
paramilitary	0.0451787
"Northern Alliance"	0.0445704
"Christine Arron"	0.0443806
"Shiite Muslims"	0.043934
"Grand National Party"	0.0437374
Borodin	0.043359
assailant	0.0429203
cultist	0.0427316
"Sunni Muslims"	0.0426261
insurgent	0.0424245
guerilla	0.0421539
Kamajors	0.0420555
Armenians	0.0420553
Lissouba	0.0419064
"Nancy Kerrigan"	0.0416087
Eritrean	0.0416003
Koroma	0.0414002
commando	0.0411847
firebomb	0.0411323
"Australian Mark Philippoussis"	0.0409998
Lacresha	0.0409274
"Yugoslav Army"	0.0408478
Serbians	0.0405407
picketers	0.0405211
"Eric Harris"	0.0403929
"paramilitary organization"	0.0402943
"Indian Air Force"	0.0402749
"Afghan Taliban"	0.0401701
henchmen	0.0400274
))
(clap (desc 1270.67) (sims
whoop	0.117804
thud	0.11151
jeer	0.1063
ovation	0.0888905
cackle	0.0820055
"sonic boom"	0.0809035
guffaw	0.071066
acclamation	0.0706289
"alarm bell"	0.0699127
beep	0.067751
clapping	0.0605518
splat	0.0601874
forefinger	0.0590677
rumblings	0.0578573
high-fives	0.0577987
obeisance	0.0558375
whimper	0.0551882
whistling	0.0543833
"speaker system"	0.0540613
banging	0.0532926
processional	0.0531188
"refresher course"	0.0531054
smattering	0.0529791
"small talk"	0.0523563
popping	0.0502773
rapidity	0.0494839
"index finger"	0.0493883
"singing voice"	0.048744
whiner	0.0485587
beeper	0.0482693
snowbird	0.0481547
clowning	0.0480329
"fire alarm"	0.0479371
juggling	0.0473014
Pinky	0.0473002
Mucha	0.0472608
yelp	0.0459802
"luxury liner"	0.0459801
double-teams	0.0457554
lemming	0.0456362
catcall	0.0456112
playlist	0.0454936
"chain letter"	0.0454278
Kareem	0.0452011
bagpipe	0.0443933
meatpackers	0.0442776
"waste of money"	0.0442408
"beach towel"	0.0441612
fillip	0.044129
naysayer	0.0441172
perusal	0.04349
"exclamation point"	0.0433626
"golden parachute"	0.0433174
ticking	0.0431283
squall	0.0429819
"fellow traveler"	0.0428608
"change of direction"	0.0423911
"form letter"	0.042292
smooch	0.042258
Arnault	0.0421465
Yoakam	0.0420906
markdowns	0.0418153
"hue and cry"	0.0418069
dimple	0.0416517
rejoinder	0.0415308
puncher	0.0414959
thumbs-up	0.0414568
"coloring book"	0.04136
flack	0.0410855
"military band"	0.0410057
"sour grapes"	0.0409691
comeuppance	0.0408752
drumbeat	0.040833
guidepost	0.040735
amen	0.0406636
firecracker	0.0406058
bagpiper	0.0405355
"screen pass"	0.0403545
send-off	0.0403179
rustling	0.0402394
"curtain call"	0.0400029
))
(clapboard (desc 3150.35) (sims
shingle	0.14354
lakeside	0.142565
"Greek Revival"	0.141584
stucco	0.136004
"cinder block"	0.131221
oceanfront	0.125222
adobe	0.113822
"small white"	0.112536
two-story	0.108389
siding	0.0984171
beachfront	0.0915283
shingles	0.0877333
"Queen Anne"	0.07745
brick	0.0773481
rebuilt	0.0763825
gingerbread	0.0717194
hilltop	0.0677347
limestone	0.0663373
sheathing	0.0662527
lakefront	0.0658629
sandstone	0.0652875
Plywood	0.0651515
beachside	0.0643877
laminate	0.0641605
roofing	0.0617611
plasterboard	0.0613104
Tudor	0.0595562
chickenpox	0.0593216
wainscoting	0.0591039
thatch	0.0578692
paneling	0.0576092
"South Shore"	0.0568355
Deco	0.0567467
brownstone	0.056205
centerfield	0.0560572
"log cabin"	0.055055
rightfield	0.0548341
molding	0.0546843
linoleum	0.0540093
"North Georgia"	0.0539314
shanty	0.0537611
truss	0.0516731
riverside	0.0511202
bungalow	0.0503089
tenement	0.0502254
"East Hampton"	0.0493611
"yellow flag"	0.0484548
"terra cotta"	0.0480008
"art deco"	0.0475055
shutter	0.0469023
"picket fence"	0.0468089
Igloo	0.0465202
sorority	0.0464199
"Hollywood Hills"	0.0460255
"yellow light"	0.0458164
gothic	0.0456464
"San Sebastian"	0.044955
honeycomb	0.0446144
grout	0.0446032
leftfield	0.0445317
vinyl	0.0444446
"Cape Cod"	0.0443989
sill	0.044014
kibbutz	0.0439902
"Empire State"	0.0434427
Camaro	0.0434143
blinder	0.0433679
camellia	0.0432694
lattice	0.0431894
Tarrytown	0.0430498
"Central Jakarta"	0.0429936
"window frame"	0.0429335
bluebird	0.0426554
cedar	0.0424273
Hattiesburg	0.0424116
seascape	0.0418627
"Texas Supreme Court"	0.0418093
caftan	0.0414077
superstructure	0.0411903
"Salvation Army"	0.0411883
"Left Bank"	0.0411616
farmhouse	0.0409335
"Branch Davidian"	0.0409258
drywall	0.0408946
spec	0.0408218
"Fayette County"	0.0407889
Bridgehampton	0.0407732
"beach ball"	0.0407109
stilt	0.0404473
absinthe	0.0403538
storefront	0.0403027
gable	0.0400084
))
(clapping (desc 2659.82) (sims
applause	0.108019
"church bell"	0.0834989
weeping	0.080071
laughter	0.0740834
chanting	0.0695755
lovemaking	0.0619333
kissing	0.0601651
shouting	0.0579285
"Cosby Show"	0.0568635
yelling	0.0559133
wailing	0.0534919
lamentation	0.0524598
rejoicing	0.0523893
gunshot	0.0516308
"slide rule"	0.0494788
breathing	0.0487916
"car horn"	0.0482408
bagpipe	0.0477877
catcall	0.0471139
"standing ovation"	0.0469255
wholeness	0.046488
risking	0.0457796
"hue and cry"	0.0454163
drumbeat	0.0452504
high-fives	0.0451307
drumming	0.0448307
"pipe organ"	0.0442236
firecracker	0.0441291
knocking	0.0435495
"small talk"	0.0434789
fasting	0.0432223
gunbattles	0.0425065
skydiver	0.0421696
ovation	0.0420099
jamming	0.0412498
banging	0.0409669
))
(Clapton (desc 1338.22) (sims
"Eric Clapton"	0.143191
"Vienna Philharmonic"	0.0718421
Yoakam	0.0712171
Kat	0.0665935
"Andrew Morton"	0.0645172
Cota	0.0615725
Candiotti	0.0596237
GPU	0.0583056
keyboardist	0.0573996
Presley	0.0572627
Springsteen	0.056674
Lafleur	0.0558351
Jayakumar	0.0544664
Marinovich	0.0536367
Summitt	0.0532473
Havelange	0.0526478
Goff	0.0525842
"Parker Bowles"	0.0521367
Caruso	0.0518757
Storin	0.0516917
Timbuktu	0.051534
Rea	0.051284
Durant	0.0512187
Masire	0.0508831
"Van Morrison"	0.0506195
Claudius	0.0504946
Yitzhak	0.0499075
Holloway	0.0495504
Terminator	0.0494894
"Joan Baez"	0.0491849
Postel	0.0485444
Chappell	0.0483976
NIC	0.0482854
Baugh	0.0480643
"Billie Holiday"	0.0480527
Wildhorn	0.0480346
"Thurgood Marshall"	0.0480265
Jaffe	0.0475626
McGraw	0.0474099
Hendrix	0.0473193
Cline	0.0470493
Mellencamp	0.0470117
"Muddy Waters"	0.0469328
Sanan	0.0466034
Heaney	0.046369
Cloude	0.0461997
"Carlos Santana"	0.046138
Beatle	0.0459527
Dodik	0.0454764
Belo	0.0454168
Proctor	0.045336
Wynonna	0.0453106
Berle	0.0452629
Waugh	0.0452561
Marsalis	0.0452006
Cepeda	0.045153
"Red Star Belgrade"	0.0451294
Connell	0.0448853
Ozersky	0.044741
"Pearl Jam"	0.044656
Taufik	0.0443583
Ebert	0.0441892
Eggers	0.0439849
Clancy	0.0436252
Kern	0.0435609
Alarcon	0.0435134
Preston	0.0435007
Coltrane	0.0434954
Springbok	0.0434542
commoner	0.0431026
"Jimi Hendrix"	0.0431004
"Cathay Pacific Airways"	0.0430597
Rabe	0.0430389
"Queen Noor"	0.0430173
"Jim Nicholson"	0.0430039
Ince	0.0428379
Boller	0.0427464
Nicol	0.0426694
Demaci	0.042641
Neely	0.0422931
Rais	0.0422183
Maag	0.0421909
"Bill Skate"	0.0419452
Velayati	0.0418881
Bowie	0.0418002
Harbison	0.0417768
Chevenement	0.0417534
Bessette	0.0417365
Puente	0.041722
Grammer	0.0416745
whatsoever	0.0416724
Applegate	0.0416624
"Billy Joel"	0.0415936
Medvedev	0.0411213
Fernandes	0.0411041
"Doak Walker"	0.0407642
Feuer	0.0407374
R.E.M	0.0406614
Wiseman	0.040517
Maharaj	0.0402992
Shulman	0.0402222
Sommer	0.0402177
Shoate	0.0401846
BRITNEY	0.0400923
Ronstadt	0.0400294
))
(Clara (desc 3330.41) (sims
Barbara	0.127245
Brenda	0.126019
Eileen	0.124526
Kristin	0.123469
Evelyn	0.120002
Olga	0.118818
Edith	0.110426
Suzanne	0.10735
Stephanie	0.107105
Denise	0.104116
JoAnne	0.102805
Maureen	0.102157
Anita	0.101781
Sonia	0.101223
Rhonda	0.101218
Irina	0.0992816
Patricia	0.098859
Lori	0.0981319
Kathy	0.0972909
Vanessa	0.0961838
Kathleen	0.0940481
Debbie	0.093758
Margaret	0.0934032
Nancy	0.0924027
Cindy	0.0909957
Lucia	0.0908885
Beverly	0.0900313
Lisa	0.0900172
Marlene	0.089328
alicia	0.0893167
Jacqueline	0.0891157
Nicole	0.0889884
Michele	0.0887335
Sara	0.0885668
Maria	0.0883831
Carolyn	0.0879995
Lynne	0.0879261
Olivia	0.0878829
Kimberly	0.0876565
Diane	0.0871876
Jenny	0.0870725
Miriam	0.0868799
Cheryl	0.0866934
Juanita	0.0861942
Christine	0.0856762
Susan	0.0855672
Ana	0.0855609
Valerie	0.0854501
gloria	0.0852072
Jill	0.0851144
Teresa	0.0846638
Liz	0.0845511
Rebecca	0.0844071
Josephine	0.0843167
Julie	0.0842284
Paula	0.0842243
Millie	0.0840234
Linda	0.0835939
"Azizah Ismail"	0.0835805
Dorothy	0.0835128
Paulina	0.083307
Tracey	0.0832001
Susie	0.0830729
Cathy	0.0828083
Alexandra	0.0825692
Marta	0.0821695
Monique	0.0816572
Pam	0.0814033
Jennifer	0.0807147
Donna	0.0807071
Helen	0.0804441
Marian	0.0803898
Doris	0.0802141
Katie	0.0802014
Lucille	0.0800107
Shirley	0.079703
Marcia	0.0795367
Sylvia	0.0792648
Andrea	0.0792204
Kathryn	0.0787738
Ellen	0.0786508
Karenna	0.0786338
Marianne	0.0784529
Polly	0.078178
Cherie	0.0780904
Theresa	0.0779045
Vicki	0.0778696
Samantha	0.0774105
colleen	0.077328
Heidi	0.0772722
Julia	0.0770787
Elaine	0.0768887
Phyllis	0.07682
Rita	0.0764989
Eleanor	0.0760549
Marie	0.0760496
Meg	0.0757637
Peggy	0.0754724
Annie	0.0754399
Frances	0.07531
Deborah	0.075068
Catherine	0.0747025
Anne	0.0745082
Pauline	0.0745075
Michelle	0.0744971
Christina	0.0744626
Karen	0.0743827
Naomi	0.0741224
Jessica	0.0740486
anna	0.0732372
Emily	0.0731693
Sheila	0.0730133
Natalie	0.0726089
Elena	0.0725268
Lois	0.0722574
"Carolyn Bessette Kennedy"	0.0721112
Laura	0.0719675
Sandra	0.071922
Carol	0.0718814
Lydia	0.0718346
ISABEL	0.0717028
Colette	0.0714022
Laurie	0.0713514
Brooke	0.0711575
Katherine	0.0710701
Sarah	0.0709857
Beth	0.0709391
Amy	0.0708702
Betty	0.0708072
Erica	0.0707081
Sally	0.070599
"Karenna Gore Schiff"	0.0705817
Janice	0.0704399
Sheryl	0.0704139
Carrie	0.0703893
Janet	0.0703524
Angela	0.0703389
Marilyn	0.0702938
Connie	0.0702014
Claire	0.0701962
Emma	0.0699863
Cynthia	0.0699517
Terri	0.069667
Judy	0.0696069
Jackie	0.0694995
Dolores	0.0694253
Nina	0.0694098
Roberta	0.0689042
Pamela	0.0686127
Rachel	0.0685518
Ashley	0.0682156
hazel	0.0680598
Audrey	0.0673482
Caroline	0.0668974
Nora	0.0668276
Kate	0.0666959
Mary	0.066558
Joan	0.0662924
Judith	0.0657634
Stella	0.0657534
Tina	0.0657195
Meredith	0.065616
Natasha	0.0651514
Mona	0.0651307
Ella	0.0649227
Norma	0.0647983
Beatrice	0.0645386
Patti	0.0645176
Hadassah	0.0644385
Erin	0.0644258
Wanda	0.0644042
Claudia	0.0643473
Leah	0.064164
Esther	0.0640785
Debra	0.0640675
Sophie	0.0637447
Renee	0.0634052
Kay	0.0632622
Edberg	0.0630924
Melinda	0.0630402
Vivian	0.0628686
Dana	0.0628258
Nikki	0.0627598
ANN	0.0625722
Karlsson	0.0620352
Robin	0.0616541
Louise	0.0615919
Perrot	0.0609519
Jeanne	0.060236
Marge	0.0601946
Alice	0.0600527
Betsy	0.0596916
heather	0.0596684
Machel	0.0594324
"A.P Indy"	0.059104
Ethel	0.0590766
Jonsson	0.058862
Jane	0.0587262
Diana	0.0585246
Jessie	0.0583828
))
(Clare (desc 947.629) (sims
pressman	0.0920355
Conley	0.0909892
Gilead	0.0906858
Wyeth	0.0865363
Duvalier	0.0811032
Musa	0.0778569
Kimball	0.0777992
MACROMEDIA	0.0773299
Bridgestone	0.0761615
Bodine	0.0757959
Biggs	0.0736576
Aquino	0.0735527
AOC	0.0733059
Berenson	0.0714312
Myhrvold	0.0709938
Udall	0.070173
Martorano	0.0701166
Wyly	0.0694031
Tenneco	0.0687949
CSC	0.0687069
"Big Blue"	0.068217
Milken	0.0673989
Ingalls	0.0668189
Sutter	0.0666801
Wayans	0.0666334
Pinkerton	0.0663517
Menendez	0.0661047
SDL	0.0660967
Bonanno	0.0654662
Chiron	0.0648424
lauder	0.0647144
EMC	0.0645092
O'Malley	0.0644487
Laudrup	0.0642061
PictureTel	0.0639602
XYLAN	0.0638357
F.A	0.0637665
SAA	0.0637502
cain	0.0637491
"Irish Catholic"	0.0635443
Kasyanov	0.0630547
JetBlue	0.0630052
Jauron	0.0628488
Milbury	0.0627342
Pirro	0.0626363
AUM	0.0621272
"P&AMP;G"	0.0620759
Neville	0.061906
Sheehan	0.0619052
Hamid	0.0617687
IGC	0.0616388
Ingram	0.0615566
Fiddes	0.0612521
SAirGroup	0.0611896
Lamont	0.0608218
"three units"	0.0607987
RJR	0.0604392
Terra	0.0602379
HBOC	0.0599734
McCourt	0.0598185
Hirschfeld	0.0595814
Imperatori	0.0591783
Seymour	0.0590734
WPP	0.0588616
Rollins	0.058846
Akamai	0.0586676
Demaci	0.0586622
AIG	0.0586171
Milstein	0.0585515
Coen	0.0584483
Biogen	0.0582438
silber	0.0580542
McGill	0.0578777
Conroy	0.0578281
ICI	0.0577643
Mendez	0.057662
Kyprianou	0.0575071
Northpoint	0.0573386
Liggett	0.0572298
Bessette	0.0571245
Addison	0.0571144
Aegon	0.0569196
ISSEL	0.0567762
NORTHROP	0.0567465
Marsalis	0.0567335
Dwight	0.0566362
Hendricks	0.0565304
Vinny	0.0564049
"Con Ed"	0.056243
Sills	0.0561927
Latham	0.0560747
Braswell	0.0559952
Alarcon	0.0558988
E-LOAN	0.0558953
Danka	0.0555365
Eskom	0.0553018
Azad	0.0549165
"Estee Lauder"	0.0549056
Narayanan	0.0547087
Bidwill	0.054705
ITC	0.0546417
Providian	0.0545853
Osmond	0.05442
Polaroid	0.0544029
"Raytheon Co."	0.0543769
Stroh	0.0542977
Mondavi	0.0542682
Juma	0.0542075
Susann	0.0541391
Bridgestone/Firestone	0.0541369
Fleischer	0.0540923
Stroganoff	0.0540475
Venables	0.0539084
Rosales	0.0537774
Clements	0.0537552
MiniMed	0.0536981
Bingham	0.0535499
Stratus	0.0535272
Nasrallah	0.0535249
Jayakumar	0.0534671
Ribbeck	0.0534293
Angara	0.0533798
Scientific-Atlanta	0.0533013
Geron	0.0532271
McKesson	0.0530539
Riady	0.0529346
SSB	0.0529018
Zamora	0.0527871
Duffy	0.0527112
Kozeny	0.0527072
Demps	0.0526673
Aleman	0.0525196
Searle	0.052507
Rothschild	0.0524324
CCF	0.0524248
Abernathy	0.0523225
"Red Violin"	0.0523125
Isner	0.0522763
Scripps	0.0522684
CNET	0.0522589
ABB	0.0521941
Willard	0.0521507
Swanson	0.0520993
Zuckerman	0.0520697
Fiorina	0.0520205
Wilkerson	0.0519469
Cadbury	0.0518435
Ogata	0.0518428
Sumaye	0.0518328
ZDNet	0.0518269
Connell	0.0517702
Dorsey	0.0517246
Medtronic	0.051712
Ershad	0.0517022
"Du Pont"	0.0516863
BOC	0.0516761
Sheinbein	0.051593
Tubbs	0.0515658
McKeon	0.051513
Bronfman	0.0512491
Mehta	0.0512487
Ruehe	0.0512434
Penders	0.0511016
Rong	0.0510373
SGI	0.0509558
Soares	0.0509201
Kuehne	0.0507442
Stoneman	0.0507242
Neel	0.0507026
NetZero	0.050598
CNNfn	0.0504178
BASF	0.0502676
Ricart	0.0502509
ACB	0.0502408
Janikowski	0.0501979
CCE	0.0501324
Corning	0.0498437
Birnbaum	0.049742
Bautista	0.049688
Rawabdeh	0.0496475
Ziegler	0.0495206
Dodik	0.0495082
Copley	0.0494632
Schering	0.0494126
Pont	0.0493886
Curley	0.0493018
Dolan	0.0492666
Schwartz	0.0492436
capella	0.0492346
SOCOG	0.0491852
Rupert	0.0490699
G.M	0.049066
"Consolidated Edison"	0.0489488
Cepeda	0.0489356
"Tommy Bowden"	0.0488848
ALZA	0.0488843
Munson	0.0488655
Woodson	0.0488537
"Stride Rite"	0.0488429
Ericsson	0.0488191
))
(Claremont (desc 2108.3) (sims
Englewood	0.163927
Peterborough	0.149933
"South San Francisco"	0.133076
"Culver City"	0.125279
Burlingame	0.124885
"La Jolla"	0.124621
Exeter	0.124044
Portsmouth	0.123108
LAKEWOOD	0.119772
"Westlake Village"	0.117895
Sausalito	0.117462
Cupertino	0.117208
Encino	0.115022
Emeryville	0.112705
Hopkinton	0.112105
"Simi Valley"	0.111737
"Mill Valley"	0.109101
Derry	0.109074
Pittsburg	0.108759
Londonderry	0.107185
"Thousand Oaks"	0.106606
Eureka	0.105894
Hillsboro	0.104275
"New London"	0.103212
Norwalk	0.102764
Montclair	0.10199
Nashua	0.10193
Fairfax	0.101488
Walpole	0.100752
Brentwood	0.100671
Cornish	0.0997251
"Walnut Creek"	0.0993415
Carmel	0.0983558
"San Rafael"	0.0979112
Milford	0.0978497
Carlsbad	0.0965504
"Union City"	0.0965093
Bedford	0.0958494
Tarzana	0.0957638
Westfield	0.0953595
Pasadena	0.094713
Alameda	0.0940101
"Redwood City"	0.0934111
"Santa Ana"	0.0932969
Calabasas	0.0930559
"Santa Monica"	0.0928659
Wilton	0.0924262
Marjayoun	0.0922931
Amherst	0.0917896
"El Segundo"	0.0913089
Petaluma	0.091078
"North Hollywood"	0.0907688
Sunnyvale	0.0906136
"New Canaan"	0.0902232
Ithaca	0.0902183
Hempstead	0.0898751
"East Orange"	0.0898488
Nago	0.0891155
Chatsworth	0.0890684
Loudon	0.0888719
Glendale	0.0881532
Reston	0.0881167
Oxnard	0.0875704
"Woodland Hills"	0.0874541
Farmington	0.0871817
"Huntington Beach"	0.0870249
Cacak	0.0869502
"Santa Rosa"	0.0866156
Concord	0.0864044
Danville	0.0859892
"San Marcos"	0.0854251
"Manhattan Beach"	0.0853921
"Menlo Park"	0.0853333
Westport	0.0848435
Modesto	0.0844379
Hanover	0.0843066
"Garden City"	0.0842253
Ojai	0.0837624
Bloomfield	0.0835882
Dundalk	0.0834851
Lhokseumawe	0.0833006
"Chapel Hill"	0.0832192
Plymouth	0.0832178
Plano	0.0830607
Charlestown	0.0828455
"Fort Lee"	0.0827845
"San Carlos"	0.0824959
Princeville	0.0823224
Woburn	0.0820823
"Pacific Palisades"	0.0820013
Hayward	0.081767
Pomona	0.0817507
"San Mateo"	0.0816072
Lucerne	0.0814288
Izmit	0.080992
"Marin County"	0.0808498
Winston-Salem	0.0805763
Jericho	0.0804591
Hattiesburg	0.0797937
"High Point"	0.0796668
Cartagena	0.0789885
riverside	0.0789339
Allentown	0.0786742
Gnjilane	0.0781975
"Mountain View"	0.0774498
Medford	0.0773015
Darien	0.0771909
"San Luis Obispo"	0.0770784
Chappaqua	0.0770393
Manchester	0.0769109
"Mission Viejo"	0.0765715
BASEL	0.07652
Wellesley	0.0764225
Rafah	0.0763002
Reseda	0.0762625
Golcuk	0.0762014
Poughkeepsie	0.0759888
Pelham	0.0758146
Krakow	0.0757818
Lawrenceville	0.0757258
Malibu	0.0756629
Walkerton	0.0755687
"Sonoma County"	0.0755571
Hollis	0.0752524
Fairfield	0.0752405
"Boynton Beach"	0.074908
Fremont	0.0748803
Salem	0.074854
Uvira	0.074784
Burbank	0.0743557
Bethlehem	0.0743485
Shepherdstown	0.0740829
Chatham	0.0737861
"Quebec City"	0.0737368
Clearwater	0.0732891
"West Hollywood"	0.0729413
"Studio City"	0.0728015
Windsor	0.0721882
"Rockland County"	0.0720388
Bangor	0.0719374
"Newport Beach"	0.0719119
Pittsfield	0.0718567
"Sherman Oaks"	0.071785
Gudermes	0.0716053
Davao	0.071531
Skaneateles	0.0713315
Somerville	0.0712691
ARCADIA	0.0712046
"Van Nuys"	0.0711455
Torrance	0.0704359
"Port St. Lucie"	0.0704054
Uniondale	0.0703947
Antioch	0.0701995
Wildwood	0.0699443
Williamstown	0.0699384
Chester	0.0698271
"Ciudad Juarez"	0.0697601
Fresno	0.0695835
bethel	0.0695029
Wallingford	0.0694282
"Santa Cruz"	0.0692151
Limassol	0.069066
"Overland Park"	0.0689586
Youngstown	0.0688923
Morristown	0.0687928
Stamford	0.0686469
Utica	0.0679914
"Saratoga Springs"	0.0678157
Framingham	0.0677053
Elmira	0.0676149
Dover	0.067583
Leskovac	0.0675397
"Century City"	0.0674398
Lakeland	0.0672186
"Palo Alto"	0.0671845
Scottsdale	0.0670812
Tarrytown	0.0667385
Yonkers	0.0666453
rye	0.0665752
Matamoros	0.0665147
Bakersfield	0.066026
"Port Arthur"	0.0658592
Alexandria	0.0657511
"Banja Luka"	0.0657224
Keene	0.0656056
Goteborg	0.0655668
Atherton	0.0651709
Urus-Martan	0.0649238
Deerfield	0.0648397
Pleasanton	0.0647443
Ballymoney	0.0646121
"Silver Spring"	0.0645896
Urosevac	0.0642804
Napa	0.0642639
Scarsdale	0.064247
Podgorica	0.0640397
Haicheng	0.0640373
Tokaimura	0.0640098
"Santa Barbara"	0.0638819
Makeni	0.0638402
))
(Clarence (desc 2115.97) (sims
Abbie	0.089557
Phillip	0.0717855
Gerald	0.0650156
Edmund	0.0623362
Colin	0.0620894
Hugh	0.0619702
Evan	0.0616556
Ralph	0.061234
Steven	0.0594548
Allan	0.0584538
Alan	0.0584104
Tim	0.0561292
LeRoy	0.0556566
Greg	0.0551534
Ron	0.054335
Wayne	0.0540112
becky	0.0539555
Rick	0.0538556
Ronald	0.0534917
Shawn	0.0533843
Claude	0.053169
Dolores	0.0530301
Kenneth	0.0527268
Roger	0.0524348
Roberto	0.0515009
Saul	0.0511859
William	0.0509515
Larry	0.0509349
Albert	0.0503416
Phil	0.0493946
dick	0.0486535
Philip	0.0485668
"Dale Jr."	0.0485382
Wally	0.047574
Bernard	0.0471815
Eddie	0.0469528
Stan	0.0468213
Carl	0.0467046
beamer	0.0466306
Eric	0.0462165
Ken	0.0456439
Josh	0.0455973
"Richard Williams"	0.0455026
Neil	0.0454609
Clyde	0.0448941
Holloway	0.0447488
Audrey	0.0446468
Ethan	0.0446317
Schippers	0.044414
Fred	0.0442014
Brian	0.0440789
Brad	0.0438389
Adkins	0.0437944
Vladimir	0.0435903
Doug	0.0428037
Algonquin	0.0427452
Samuel	0.0425604
Lance	0.0425386
Yitzhak	0.042465
Ed	0.0424305
STUART	0.0422568
Joey	0.0422187
Antonio	0.042215
Kevin	0.0418875
Hindery	0.0417518
Nate	0.0417516
Ernest	0.0415743
Edward	0.0415607
Ronnie	0.0412531
Thurber	0.0412162
Gerard	0.0410936
Jorge	0.0407597
Byron	0.0405692
Theo	0.0402709
Stephanie	0.0400752
Ely	0.0400629
D.J	0.0400542
Harold	0.0400172
))
("Clarence Seedorf" (desc 1988.88) (sims
"Dennis Bergkamp"	0.234649
"Frank de Boer"	0.229493
"Edgar Davids"	0.222901
"Marc Overmars"	0.203254
"Phillip Cocu"	0.186699
"Robert Prosinecki"	0.182196
"Ronald de Boer"	0.178589
"Patrick Kluivert"	0.167145
"Patrick Vieira"	0.167024
"Robert Jarni"	0.160163
"Zvonimir Boban"	0.15869
"Christian Karembeu"	0.152912
"Raul Gonzalez"	0.149903
"Nicolas Anelka"	0.147576
"Hidetoshi Nakata"	0.146379
"Emmanuel Petit"	0.135285
"Luis Figo"	0.13169
"Youri Djorkaeff"	0.128683
"Predrag Mijatovic"	0.128657
"Dejan Stankovic"	0.126366
"Luigi Di Biagio"	0.125776
"Steve McManaman"	0.124294
"Dejan Savicevic"	0.121846
"Fernando Hierro"	0.117301
Bergkamp	0.113092
"Ariel Ortega"	0.109502
"Mauricio Ramos"	0.107216
"Marco Etcheverry"	0.106441
"Davor Suker"	0.102913
"Roberto Carlos"	0.102907
"Paul Ince"	0.102246
Boer	0.101258
Rivaldo	0.100284
"Carlos Valderrama"	0.0998938
"Roberto Baggio"	0.0998299
"Tony Adams"	0.0976129
"Gheorghe Hagi"	0.0929611
"Jaap Stam"	0.0904578
"Mario Stanic"	0.0900246
"Michael Laudrup"	0.0882002
"Fan Zhiyi"	0.088142
"Roy Keane"	0.0881167
Hagi	0.0871107
"Zinedine Zidane"	0.0867645
"Paul Merson"	0.0860572
"Claudio Lopez"	0.0846682
"Ben Olsen"	0.0843462
"Nwankwo Kanu"	0.0836186
"Thomas Haessler"	0.0828459
"Enrico Chiesa"	0.0824981
"Julie Foudy"	0.0812694
"Dino Baggio"	0.0796287
Juninho	0.0781786
"Kristine Lilly"	0.0777918
"John Harkes"	0.0762548
"Michelle Akers"	0.0760134
"Hu Weidong"	0.0758713
"Leonel Alvarez"	0.0757643
"Robert Pires"	0.0754302
"Tab Ramos"	0.0744112
"Darren Anderton"	0.0737467
"Cesar Sampaio"	0.0727271
"Paul Gascoigne"	0.0727147
"Diego Simeone"	0.0721396
"John Collins"	0.0713522
"Hao Haidong"	0.0706552
"Rintje Ritsma"	0.0697859
PSV	0.0697038
"Juergen Klinsmann"	0.0692778
"Khodadad Azizi"	0.0692033
"Eddie Lewis"	0.0688817
"Laurent Blanc"	0.0685849
"Cobi Jones"	0.0678904
Denilson	0.0672854
Anelka	0.0671198
"Harry Kewell"	0.0668951
Sissi	0.0665852
"Claudio Reyna"	0.0661276
"Inge de Bruijn"	0.0655686
"PSV Eindhoven"	0.0652446
"Alan Shearer"	0.0634868
"Wang Zhizhi"	0.0632429
Leonardo	0.0624588
"Dan Petrescu"	0.0619959
"Clint Mathis"	0.0616757
"Spartak Moscow"	0.0609541
"Johan Cruyff"	0.0608105
"Ruud Gullit"	0.0606892
Djorkaeff	0.059801
"Andy Williams"	0.0595569
"Paul Scholes"	0.0587544
"Frankie Hejduk"	0.0585788
Edmundo	0.0582931
"Mauricio Cienfuegos"	0.0563767
"Andreas Moeller"	0.0556206
"David Trezeguet"	0.0554523
"Tamika Catchings"	0.0552745
"Brian Laudrup"	0.0549264
Suker	0.0547043
"Alen Boksic"	0.0543471
"Ryan Giggs"	0.0543107
"Joy Fawcett"	0.0542037
"Ian Wright"	0.0540822
Jair	0.0538347
"David Beckham"	0.0537003
"Lothar Matthaeus"	0.0536747
Bebeto	0.0535521
"Tom Presthus"	0.0526606
"Sheryl Swoopes"	0.0525046
"Hernan Crespo"	0.0524799
"Eric Wynalda"	0.0522651
"David Wesley"	0.0518568
"Michel Platini"	0.0515735
Kluivert	0.0515464
"Mia Hamm"	0.0515212
"Gabriel Batistuta"	0.0514524
Villareal	0.0514131
"Nikki McCray"	0.0509812
"Wang Tao"	0.0508038
"Scott Thornton"	0.050797
Zidane	0.0507741
Baggio	0.0504153
"Joe-Max Moore"	0.0503066
"Bobby Phills"	0.0501326
"John Vanbiesbrouck"	0.0494199
Schalken	0.049404
"Tiffeny Milbrett"	0.0493
"Olympiakos Piraeus"	0.0491956
"Sun Wen"	0.0490793
"Alessandro Del Piero"	0.0489166
"Christophe Dugarry"	0.048136
"Shannon MacMillan"	0.0481349
Hoogenband	0.0480258
Sampaio	0.0480081
"Ivan Zamorano"	0.0474814
Zamorano	0.0473076
"Hristo Stoichkov"	0.0470237
"Arvydas Sabonis"	0.0468276
Raul	0.0468086
"Michele Timms"	0.0465817
"Teddy Sheringham"	0.0464063
Batistuta	0.0462901
"Rashard Lewis"	0.0458982
marksman	0.0456702
"Christian Laettner"	0.0455236
"Juwan Howard"	0.0454719
"Didier Deschamps"	0.0453144
"Darryl Sydor"	0.0453053
"John Van Lottum"	0.0450127
Beckham	0.0449031
"Mark Williams"	0.04476
Dodik	0.0445634
"Mike Keane"	0.044403
"Everett McIver"	0.0443162
"Tony Amonte"	0.0442139
"Gary Roberts"	0.0441961
Scholes	0.0439926
Vieri	0.0438443
"Dwight Yorke"	0.043723
"George Weah"	0.0436793
"Marcel Desailly"	0.0436789
"Clyde Drexler"	0.043674
"Alexi Lalas"	0.0436287
"Faustino Asprilla"	0.0435266
libero	0.0435103
"Ma Lin"	0.0434632
"Kyle Brady"	0.0429912
"Claudia Pechstein"	0.0429751
"Cynthia Cooper"	0.0428872
"Bryant Young"	0.0427022
"Michael Redd"	0.0425634
"Carlos Hermosillo"	0.0425119
Espanyol	0.0424965
"Yang Ying"	0.0424871
"Tore Andre Flo"	0.0424531
"Petr Sykora"	0.0424211
"Xia Xuanze"	0.0421703
"Marcelo Salas"	0.0412681
Asprilla	0.0412515
"Ron Artest"	0.041171
Chilavert	0.0411676
"Derrick Coleman"	0.0411376
"Yao Ming"	0.0408332
"Jorge Campos"	0.0408243
"Frank Gifford"	0.0406081
"Tyrone Nesby"	0.0405962
Langdon	0.0405049
Salas	0.0404015
"Sjeng Schalken"	0.0402794
"Fabrizio Ravanelli"	0.0402596
Stefano	0.0402286
"Lu Yufu"	0.040141
"ZIGMUND PALFFY"	0.0400292
))
("Clarence Thomas" (desc 6046.59) (sims
"Ruth Bader Ginsburg"	0.404207
"Sandra Day O'Connor"	0.384937
"Antonin Scalia"	0.353883
"Robert Bork"	0.182008
Ginsburg	0.178162
Paez	0.125275
Hormel	0.114868
Scalia	0.114148
"Bill Lann Lee"	0.10147
Souter	0.10128
O'Connor	0.0963511
Breyer	0.088964
Rehnquist	0.0873294
Ekeus	0.0871524
Fraga	0.082906
Stepashin	0.0813056
Verniero	0.0772466
"Kim Jong-pil"	0.07436
"James Hormel"	0.073714
Mineta	0.0732031
"Thurgood Marshall"	0.0728099
"Richard Holbrooke"	0.0723479
"William Weld"	0.0700514
Thomas	0.069885
Blackmun	0.0682714
"chief justice"	0.0660952
"Garry Mauro"	0.0625947
Kiriyenko	0.0618126
"George McGovern"	0.0607167
"Dick Cheney"	0.0581826
"Anita Hill"	0.057922
Holbrooke	0.057789
"Guy Millner"	0.0564787
"Bashar Assad"	0.0563161
CEC	0.0560164
Chernomyrdin	0.0554613
Majko	0.055331
"Sergei Kiriyenko"	0.0552157
"Senate Banking Committee"	0.0551488
"Joseph Lieberman"	0.0547661
Kasyanov	0.0544225
"Geraldine Ferraro"	0.0537261
Yilmaz	0.0520793
Stevens	0.0509722
"Barry Goldwater"	0.0509212
"Rolf Ekeus"	0.0507058
Mandelson	0.0506967
appointee	0.0502791
"Joe Lieberman"	0.0497656
"Jack Kemp"	0.0492222
"Oliver North"	0.0489218
Goode	0.0486193
"Senate Commerce Committee"	0.0475605
"Viktor Chernomyrdin"	0.0471496
"House International Relations Committee"	0.0470154
Bashar	0.0469731
McGraw	0.0469181
"Ralph Nader"	0.0466997
Cornyn	0.0464617
"Pat Buchanan"	0.0463948
Moseley-Braun	0.0461044
Eizenstat	0.0449379
"Walter Mondale"	0.0447154
Ralston	0.0444495
Dodik	0.0440916
"Majority Whip Tom DeLay"	0.0435965
"Speaker Ali Akbar Nateq-Nouri"	0.0435708
Primakov	0.0435456
Fletcher	0.0435331
Nateq-Nouri	0.0434942
"Stuart Eizenstat"	0.0431413
Cheney	0.0429924
jurist	0.0422999
"Senate Armed Services Committee"	0.0422133
Arbour	0.0421352
Hawke	0.0417408
Walser	0.0407573
"John Hagelin"	0.040586
"Betsy McCaughey Ross"	0.0405395
Coelho	0.0400319
))
("Clarence Weatherspoon" (desc 1643.15) (sims
"Tariq Abdul-Wahad"	0.202051
"Jamal Mashburn"	0.196754
"P.J Brown"	0.184371
"Alan Henderson"	0.180138
"Voshon Lenard"	0.165651
"Otis Thorpe"	0.162254
"Ben Wallace"	0.161081
"Scot Pollard"	0.152061
"Sam Cassell"	0.14978
"Anthony Mason"	0.148191
"Chris Gatling"	0.144544
"Grant Long"	0.14426
"Kendall Gill"	0.142996
"Corliss Williamson"	0.138946
"Gary Trent"	0.133278
"Lamond Murray"	0.131156
"Jarvis Turner"	0.131016
"Dan Majerle"	0.129345
"Derrick Coleman"	0.129284
"Theo Ratliff"	0.128863
"John Wallace"	0.125589
"Kris Clack"	0.125067
"Jim Jackson"	0.124935
"Sean Farnham"	0.124644
"Terry Porter"	0.124405
"Shannon MacMillan"	0.124369
"Mark Bryant"	0.120883
"Morris Peterson"	0.120373
"George McCloud"	0.118677
"Austin Croshere"	0.116676
"Antoine Carr"	0.115865
"Clifford Robinson"	0.115823
"Samaki Walker"	0.115758
"Cedric Ceballos"	0.115114
"Rodney Rogers"	0.114569
"Walt Williams"	0.11271
"Dale Ellis"	0.112476
"Alexei Kovalev"	0.112297
"Keith Van Horn"	0.111844
"Chris Crawford"	0.110973
"Brian Skinner"	0.110699
"Rashard Lewis"	0.109719
"Danny Fortson"	0.109552
"Ante Razov"	0.109528
"SCOTT BURRELL"	0.109125
"Vernon Maxwell"	0.10881
"Chris Mills"	0.108748
"Tamika Catchings"	0.107914
Mashburn	0.107899
"Dale Davis"	0.107444
"Joe Smith"	0.107092
"Kurt Thomas"	0.107083
"Gabe Muoneke"	0.10673
"Michael Wright"	0.106416
"Shawn Marion"	0.105452
"Detlef Schrempf"	0.104853
"Donyell Marshall"	0.103968
"Kevin Freeman"	0.103839
"Isaiah Rider"	0.103153
"CORIE BLOUNT"	0.102169
"Billy Owens"	0.101933
"Othella Harrington"	0.101645
"Jerome Kersey"	0.100765
"Sean Rooks"	0.100592
"Brian Grant"	0.100351
"Rico Hines"	0.0975516
"Sam Clancy"	0.0970632
"Antonio Davis"	0.0965606
"Travis Knight"	0.0965499
"Bruce Bowen"	0.0962196
"Raef LaFrentz"	0.0961211
"Matt Barnes"	0.0954188
"Brian Scalabrine"	0.0945904
"J.R Reid"	0.0944592
"Christian Laettner"	0.0930002
"Maurice Taylor"	0.0925204
"Robert Horry"	0.0924693
"Rony Seikaly"	0.0921856
"Mike Miller"	0.0918097
"Mark Madsen"	0.0917936
"Danny Manning"	0.0917402
"Pat Garrity"	0.0912799
"Horace Grant"	0.0911038
"Tyrone Nesby"	0.0908545
"Tim Thomas"	0.0898872
"Richard Jefferson"	0.089045
"Stern John"	0.0888258
"Chris Carrawell"	0.0882063
"Ruben Patterson"	0.0880727
"Terry Cummings"	0.0879838
"Kenny Thomas"	0.0875104
"JaRon Rush"	0.087415
"Jeff Friesen"	0.0873593
"Theo Fleury"	0.0867273
"Chris Webber"	0.0866756
"Matt Harpring"	0.0864299
"Etan Thomas"	0.086402
"Doug Gilmour"	0.0853954
"Chris Taylor"	0.0847484
"Kenyon Martin"	0.0842425
"Brad Miller"	0.0841882
"Bill Guerin"	0.0838815
"Antonio McDyess"	0.0838297
"Patrik Elias"	0.0836709
"Rick Fox"	0.0835189
"Greg Anthony"	0.083316
"Tom Gugliotta"	0.0830075
"Shawn Kemp"	0.0829595
"Kevin Willis"	0.0827762
"Antawn Jamison"	0.0826594
"Joe Juneau"	0.0825105
"Randy Brown"	0.0814998
"Matthew Barnaby"	0.0801301
"Rasheed Wallace"	0.080111
"Hu Weidong"	0.0800482
"Malik Rose"	0.0797569
"Shane Battier"	0.0790783
"Chris Porter"	0.0788476
"Jerome Moiso"	0.0787496
"Glenn Robinson"	0.0784558
"Bryon Russell"	0.0782689
"Jermaine O'Neal"	0.0781448
"Rick Tocchet"	0.0777522
"Shane Doan"	0.0775606
"Chris Childs"	0.0773256
"Travis Best"	0.0773252
"Brian McBride"	0.0766561
"Sean Elliott"	0.0764162
"Aaron Williams"	0.0763573
"Marcus Fizer"	0.0761013
"Bonzi Wells"	0.0760954
"Carlos Rogers"	0.0756949
"Ted Donato"	0.0754958
"Ron Artest"	0.0754342
"Raul Gonzalez"	0.0754248
"Jason Kapono"	0.0750769
"Terrell Brandon"	0.0749852
"Wendel Clark"	0.0749603
"Tracy McGrady"	0.0749371
"Joe Kleine"	0.0748435
"Elden Campbell"	0.0744296
"Lorenzen Wright"	0.0741264
"Ike Austin"	0.0740712
"Alen Boksic"	0.0738875
"Shareef Abdur-Rahim"	0.07278
"DeLisha Milton"	0.0726144
"Olli Jokinen"	0.0725727
"A.C. Green"	0.0724517
"Robert Traylor"	0.072447
"Jalen Rose"	0.07235
"Brendan Shanahan"	0.0723248
"Vitaly Potapenko"	0.0722248
"Don Maclean"	0.072002
"Predrag Mijatovic"	0.0716688
"Ian Wright"	0.0714476
"Dave Andreychuk"	0.0714427
"Niklas Sundstrom"	0.0714001
"Tony Hutson"	0.0713014
"Todd Harvey"	0.0710371
"Bimbo Coles"	0.0708537
Mutombo	0.0707218
"Jumaine Jones"	0.0707174
"Anson Carter"	0.0703676
"Mike Sullivan"	0.0701935
"Milan Hejduk"	0.070016
"Oliver Miller"	0.0698678
"Greg Adams"	0.0695261
"Jamie Feick"	0.0694963
"Jelani McCoy"	0.0691082
"Brad Isbister"	0.0689955
"Juwan Howard"	0.068892
"Blake Sloan"	0.0686372
"Ron Mercer"	0.0681022
"Thierry Henry"	0.0680415
"Valeri Kamensky"	0.0674303
"Jaren Jackson"	0.0672587
"Raul Diaz Arce"	0.0667883
"Charles Oakley"	0.0667144
"Larry Johnson"	0.0661692
"Antoine Walker"	0.0657943
"Wally Szczerbiak"	0.0654504
"Ed Gray"	0.0653902
"Eric Murdock"	0.0653561
"Buck Williams"	0.0650709
"Marcus Camby"	0.0649154
"Richard Hamilton"	0.0648946
"Vlade Divac"	0.0648373
"Dickey Simpkins"	0.0641955
"Roy Lassiter"	0.063777
"Peter Forsberg"	0.0635621
"Dennis Scott"	0.0633746
Gugliotta	0.0631019
"Billy Knight"	0.0630996
Nowitzki	0.062794
"Elton Brand"	0.0626937
"Bill Haselman"	0.0626303
"Dirk Nowitzki"	0.0625357
"Sheryl Swoopes"	0.0623639
"Chris Drury"	0.0619956
"Dallas Drake"	0.061935
))
(clarification (desc 16986.7) (sims
retraction	0.122261
assurance	0.114784
explanation	0.111725
apology	0.0858082
confirmation	0.0855401
reconsideration	0.0832818
elaboration	0.0814209
guidance	0.0776711
detail	0.0775404
reassurance	0.0771453
documentation	0.0768586
Correction	0.074098
authorization	0.0739962
disclosure	0.073735
permission	0.0735841
concession	0.0731241
recommendation	0.0729847
annulment	0.0717099
rehearing	0.0710178
interpretation	0.0706499
revision	0.0703152
notification	0.0702661
approval	0.0694568
understanding	0.0693815
discussion	0.069037
rewriting	0.0689086
specific	0.0686321
directive	0.0673738
leniency	0.0673594
feedback	0.0669884
reversal	0.0659318
clarity	0.0649349
suggestion	0.0648686
"final decision"	0.0648594
assessment	0.0644327
reaffirmation	0.0642147
evaluation	0.0641942
acknowledgment	0.063854
instruction	0.0638279
analysis	0.0635721
denial	0.0633779
flexibility	0.0632942
modification	0.0631125
consensus	0.0627752
clearance	0.062466
waiver	0.0622625
reinstatement	0.0622243
opinion	0.0618419
Declaration	0.0615421
renegotiation	0.0610246
wording	0.0606788
summary	0.0604865
redress	0.0599614
advice	0.0598134
guideline	0.0590691
consultation	0.0588334
validation	0.0587426
rejection	0.0586801
affirmation	0.0583219
"progress report"	0.0581053
endorsement	0.0580824
proof	0.0578381
ruling	0.0568373
reciprocity	0.056661
indication	0.0564958
compromise	0.0564209
reiteration	0.0562995
input	0.056183
ratification	0.0559081
briefing	0.054917
coordination	0.0548319
prodding	0.0547388
announcement	0.0547113
condemnation	0.0544294
consideration	0.0543983
injunction	0.0543821
mediation	0.054268
postponement	0.0539718
mistrial	0.0539545
"expression of regret"	0.0537381
examination	0.0537104
scrapping	0.0536649
pronouncement	0.0535061
verification	0.0533795
acceptance	0.0533186
criticism	0.0532041
repudiation	0.052941
reexamination	0.0528789
appraisal	0.0527527
"policy change"	0.0527448
simplification	0.0526655
go-ahead	0.0526162
corroboration	0.0523035
encouragement	0.052132
acknowledgement	0.0519298
stipulation	0.0514936
rectification	0.0514367
memo	0.0514116
"financial aid"	0.0509705
pardon	0.0508252
repeal	0.0507356
rebuttal	0.0505838
relaxation	0.0504989
consent	0.050389
refinement	0.0502769
resolution	0.0502107
reprimand	0.0500426
intervention	0.0498859
assent	0.0498023
Dismissal	0.0497729
amendment	0.0497429
identification	0.0495652
reassessment	0.0493394
judgment	0.0493262
conclusion	0.0493063
misunderstanding	0.0492727
ambiguity	0.0490759
inquiry	0.0488916
adjustment	0.0487874
amplification	0.0486783
commendation	0.048301
summons	0.0479786
refund	0.0478468
enforcement	0.0475867
infusion	0.0475663
definition	0.04756
resignation	0.0473629
Implementation	0.0473338
analyses	0.0473026
memorandum	0.0471625
harmonization	0.0471221
retrial	0.0470694
"inside information"	0.0469643
arbitration	0.046575
deliberation	0.0465327
description	0.0464182
representation	0.0463506
disagreement	0.0461194
pledge	0.0460191
"news release"	0.0458246
inkling	0.0458036
revocation	0.0457903
plea	0.0457546
accusation	0.045718
transparency	0.0456823
extension	0.0456303
invitation	0.0454361
knowledge	0.0454316
reappraisal	0.0453767
admonition	0.0453542
extradition	0.0453237
"food aid"	0.0453055
checklist	0.0452303
overview	0.0451943
stance	0.0451367
tutorial	0.0451048
confession	0.0450102
referral	0.0448605
compensation	0.0448467
vindication	0.044698
recognition	0.0446939
softening	0.0446061
adoption	0.0445261
signature	0.0444987
reimbursement	0.0443256
validity	0.0441174
restitution	0.0440506
reevaluation	0.043896
"final judgment"	0.0437391
admission	0.0434788
query	0.0434279
"written agreement"	0.043356
backing	0.0431849
assertion	0.0431814
commutation	0.0430938
"search warrant"	0.0430897
promulgation	0.0430633
"rate hike"	0.0430366
submission	0.0427768
proclamation	0.0427526
headway	0.0426536
"phone call"	0.0426438
misrepresentation	0.0424789
deletion	0.042471
vagueness	0.0423879
reparation	0.0423692
forgiveness	0.0423539
removal	0.0422691
awareness	0.0422213
objection	0.0421489
"public debate"	0.0421085
easing	0.0421019
restraint	0.0419274
reporting	0.0417332
"green light"	0.0415113
cancellation	0.0414985
Tightening	0.0414391
lifting	0.0414041
determination	0.0413987
reservation	0.041355
))
(clarinet (desc 3666.73) (sims
"French horn"	0.406279
oboe	0.333899
Flute	0.299682
cello	0.29674
trombone	0.279498
trumpet	0.271748
saxophone	0.27028
violin	0.266321
harmonica	0.246093
harpsichord	0.231839
tuba	0.219475
banjo	0.200894
Viola	0.198456
guitar	0.194567
harp	0.182161
piano	0.181662
woodwind	0.180637
Sax	0.17852
fiddle	0.169034
"acoustic guitar"	0.168109
percussion	0.156901
accordion	0.15285
mandolin	0.151523
bagpipe	0.143411
"steel guitar"	0.142421
"electric guitar"	0.141542
cymbal	0.121607
drum	0.117333
Bass	0.109022
clarinetist	0.0968635
dulcimer	0.0957116
lute	0.0928178
Trumpets	0.0881549
orchestra	0.0869351
"string quartet"	0.0812412
Tabla	0.0784451
"musical instrument"	0.0783101
Horn	0.0776246
"chamber orchestra"	0.0739795
keyboard	0.0734526
vocals	0.073369
Marimba	0.0710411
synthesizer	0.0683675
Bongo	0.0681083
concerto	0.0646859
percussionist	0.0624656
"piano lesson"	0.0611098
sonata	0.0610931
cellist	0.0593756
flutist	0.0587095
"Phenix City"	0.0577201
"rhythm section"	0.0573155
conducting	0.057279
"Sunday school"	0.055604
choir	0.0533182
synthesizers	0.0529888
"Star-Spangled Banner"	0.0528134
repertoire	0.0525676
saxophonist	0.0517984
acoustic	0.0510293
"piano player"	0.0502966
quintet	0.0502157
civics	0.0492245
instrumentalist	0.0491923
Chime	0.0491087
Gong	0.0488286
yoga	0.0483643
agronomy	0.048302
penmanship	0.0481351
scat	0.0473016
baritone	0.0466981
dentistry	0.045886
"physical education"	0.0455536
dirge	0.0445075
"Amazing Grace"	0.044481
cantata	0.0443941
"chamber music"	0.0441526
"fifth grade"	0.0438991
organist	0.0432977
croquet	0.0432351
karate	0.0430228
NAU	0.0428475
ping-pong	0.0423999
sweetie	0.0423701
carpentry	0.042306
turntable	0.0418726
Scrabble	0.0415613
Vivaldi	0.0414197
violinist	0.0411959
wailing	0.0411786
Blanche	0.0408971
Beethoven	0.0408571
trumpeter	0.0405827
Brahms	0.0404297
eighth-grade	0.0400158
))
(clarinetist (desc 1514.85) (sims
flutist	0.208881
violinist	0.159211
saxophonist	0.143004
trumpeter	0.141202
pianist	0.128764
cellist	0.121561
instrumentalist	0.116166
"Wynton Marsalis"	0.108053
guitarist	0.107031
arranger	0.105733
"music teacher"	0.101831
clarinet	0.0968635
virtuoso	0.0952529
percussionist	0.0939539
"chess player"	0.0817381
organist	0.0813102
songwriter	0.0803265
bassist	0.0796169
"guitar player"	0.0784527
"pass catcher"	0.0778333
raconteur	0.0774719
soloist	0.0762448
genealogist	0.0754023
"piano player"	0.0747555
lyricist	0.0721979
calligrapher	0.0697257
sextet	0.0696662
cabinetmaker	0.0693275
yachtsman	0.0686845
drummer	0.0675915
triathlete	0.0675618
"chamber orchestra"	0.0665991
bandleader	0.0643945
vocalist	0.0627271
"jazz musician"	0.0625645
folklorist	0.0614331
footballer	0.0610545
"man of letters"	0.060353
"character actor"	0.0599682
accompanist	0.0597744
newspaperman	0.059148
sculptor	0.0589489
bloomer	0.0589145
"string quartet"	0.0577772
violin	0.0573787
"Diana Krall"	0.0572053
"Herbie Hancock"	0.0572046
"electrical engineer"	0.0570573
Gogel	0.0568364
bagpiper	0.0564876
crooner	0.0563396
innovator	0.0558994
Japanese-American	0.0553443
"Tim Fischer"	0.055145
"jazz band"	0.0551373
sportsmen	0.0547225
cello	0.0539119
boozer	0.0536878
"Duke Ellington"	0.0535615
"Aki Berg"	0.0535418
passer	0.0535146
"Justin Rose"	0.0533102
harp	0.0527735
launderers	0.0527656
"hard worker"	0.0525708
oboe	0.0523226
immortal	0.0522999
"dance band"	0.0520293
herbalist	0.0519587
"ballet dancer"	0.0519048
bullfighter	0.051686
Rockettes	0.0516353
translator	0.0511347
Vivaldi	0.0511269
animator	0.0510935
rebounders	0.0510156
"staff officer"	0.0509868
fiddler	0.0509797
strikeforce	0.0501097
businesswoman	0.0500131
horseman	0.0495899
chanteuse	0.0491878
"world traveler"	0.0491279
typist	0.0490323
miler	0.0489698
stuntman	0.0488277
"musical group"	0.0484368
welder	0.0481801
botanist	0.0480566
oratorio	0.0479871
"bird watcher"	0.0473328
ballplayer	0.0472828
"Yitzhak Mordechai"	0.0472222
juggler	0.0471787
"belly dancer"	0.0470508
helmsman	0.0468572
ornithologist	0.0466983
"Ivan Kostov"	0.0465104
harmonica	0.0462168
baritone	0.0461066
Flute	0.0460155
dramatist	0.0458798
"disc jockey"	0.0458396
orator	0.0456995
birder	0.0456986
cantata	0.0455803
Orpheus	0.0452583
procrastinator	0.0451062
bohemian	0.0450922
speller	0.045024
sleuthing	0.0448857
"house painter"	0.0448599
stylist	0.0445629
naturalist	0.044544
"big band"	0.0444948
"moral force"	0.0443237
blacksmith	0.0442775
"hockey player"	0.0442731
segregationist	0.0442458
"Jeff Hornacek"	0.0440975
"mountain climber"	0.0435168
"art historian"	0.0435082
mathematician	0.043401
essayist	0.0432381
lilt	0.0432122
salchow	0.0432108
"landscape architect"	0.0431747
"blind man"	0.0431662
linguist	0.0431544
cager	0.0431141
wage-earner	0.0431081
"bon vivant"	0.0430971
LP	0.0429582
humorist	0.042621
bowler	0.0426114
O's	0.0425916
salutation	0.0423419
craftspeople	0.0422977
weightlifter	0.0422833
keyboardist	0.0421968
"funeral director"	0.0421865
Nicol	0.0421549
hurdler	0.0419636
doer	0.0418768
deejays	0.0418431
"science teacher"	0.0417206
magician	0.0417198
"big leaguer"	0.0416631
Sax	0.0415924
beautician	0.0413301
Haley	0.0413125
caster	0.0412237
"Kim Il Sung"	0.0411607
ballerina	0.0411005
debater	0.0410123
Floridian	0.0410119
"letter writer"	0.0409987
lexicographer	0.0409674
"piece of music"	0.0407818
"public speaker"	0.0406897
"volleyball player"	0.0405897
bricklayer	0.0405243
connoisseur	0.0403839
Mladic	0.0403331
"Navy Seal"	0.0403022
Polgar	0.0402865
"little leaguer"	0.040172
))
(Claritin (desc 4352.22) (sims
Prilosec	0.224707
Epogen	0.203176
LIPITOR	0.202544
Celebrex	0.201127
Propulsid	0.200301
Zocor	0.197945
Avonex	0.194001
Zoloft	0.171777
Relenza	0.163247
Prozac	0.163046
viagra	0.15395
Ritalin	0.145609
Rezulin	0.141064
AZT	0.13868
Taxol	0.132949
Herceptin	0.127688
ENBREL	0.125356
Xenical	0.12075
tamoxifen	0.119715
Redux	0.10844
anti-inflammatory	0.108232
thalidomide	0.107936
Propecia	0.106311
Endostatin	0.105316
antihistamine	0.104849
Pondimin	0.097087
RU-@@@	0.0962139
interferon	0.0955627
Vioxx	0.0952049
mifepristone	0.0937434
fenfluramine	0.0936492
Erythropoietin	0.0927086
GHB	0.0884805
pill	0.0881241
nevirapine	0.0875883
Phentermine	0.0869751
glaucoma	0.0855884
"human growth hormone"	0.0838736
TPA	0.0822517
EPO	0.0818777
inhibitor	0.0798469
methadone	0.0796338
medication	0.0790919
Schering-Plough	0.0790175
Paxil	0.0783784
Fen-Phen	0.0782136
antibiotic	0.0778516
"prescription drug"	0.0765355
methamphetamine	0.0749625
Budweiser	0.0749071
"hand-held computer"	0.0746149
"root beer"	0.0735703
raloxifene	0.073355
painkiller	0.0724864
Amgen	0.070122
Novartis	0.0700202
Vaccine	0.0695071
Levi's	0.0692176
olestra	0.069151
nitroglycerin	0.0691484
AstraZeneca	0.0678689
"California wine"	0.0677006
razor	0.0673228
Marlboro	0.0672193
Gatorade	0.0669375
Pfizer	0.0668123
WordPerfect	0.0660979
Monsanto	0.0657952
Valium	0.0655935
copier	0.0649118
"soft drink"	0.0648578
Warner-Lambert	0.0642023
lithium	0.0640804
Wyeth-Ayerst	0.0635748
"breast implant"	0.0634874
aspirin	0.0630515
antacid	0.0624826
"Weight Watchers"	0.0621089
"Glaxo Wellcome"	0.0620029
"Joe Camel"	0.0617745
"St. John's wort"	0.0614746
"Miller Lite"	0.061432
melatonin	0.0612383
contraceptive	0.0603951
penicillin	0.0603499
migraine	0.0601046
stents	0.0598574
ecstasy	0.0595549
"storage device"	0.0593798
herpes	0.0592521
"Pepsi Cola"	0.0587806
androstenedione	0.0586264
heartburn	0.0583314
Marlboros	0.0582
"growth hormone"	0.0581785
Kleenex	0.0580916
leptin	0.0577681
PalmPilot	0.0573184
Snapple	0.0572157
REVLON	0.0568443
"consumer electronics"	0.0565357
Benecol	0.0562484
"New Beetle"	0.0559789
Lilly	0.0558985
acetaminophen	0.0555647
tranquilizer	0.0553814
amphetamine	0.0551449
"home appliance"	0.0545827
tablet	0.0544626
Sepracor	0.0543748
"Microsoft Office"	0.0539323
ketchup	0.0537413
nicotine	0.0535981
"consumer goods"	0.0535359
liquor	0.0532687
angiostatin	0.0531791
morphine	0.0531286
"sparkling wine"	0.0527487
Roche	0.0522704
echinacea	0.0519952
hGH	0.0518279
"contact lense"	0.0517625
vitamin	0.0515855
cheerio	0.0515357
Priceline	0.0508949
ulcer	0.0508121
workstation	0.0505342
"J&AMP;J"	0.0505285
Heineken	0.0503276
lifesaving	0.0501892
"Mountain Dew"	0.0500606
condom	0.0499724
"specialty chemical"	0.0496609
"household appliance"	0.0495753
Merck	0.0487058
Myst	0.0483537
Furby	0.0483138
Pepsi	0.0482688
"Bud Light"	0.0481112
arthritis	0.0479969
Reebok	0.0476164
cosmetic	0.0475907
Orangina	0.0475754
"birth control"	0.0475305
Encarta	0.0474932
"health food"	0.0473892
weight-loss	0.0473612
anemia	0.0473499
emachines	0.047178
Priceline.com	0.0468737
"picture tube"	0.0468002
"computer hardware"	0.0466188
"office furniture"	0.0466077
opiate	0.0465127
Wheaties	0.0463962
"Beanie Babies"	0.0463721
handset	0.0462265
"pet food"	0.0461812
dosage	0.0461411
sportswear	0.0460761
RealPlayer	0.0459799
"Old Navy"	0.0459734
acne	0.0459728
semiconductor	0.045893
"food product"	0.0458578
Tylenol	0.0458466
insulin	0.045816
generics	0.0456569
shampoo	0.04552
Heinz	0.0454961
creatine	0.0454626
perfume	0.0454185
diaper	0.0453614
subcompact	0.045217
"jet engine"	0.0451832
Chrysler	0.045179
Astra	0.0450651
"cosmetic surgery"	0.0448754
ibuprofen	0.0448433
"Jeep Grand Cherokee"	0.044807
"aircraft engine"	0.0446774
Advil	0.0446669
"manufacturing business"	0.0446463
Genzyme	0.044554
narcolepsy	0.0444729
"alcoholic beverage"	0.0444565
"communications equipment"	0.044419
"Palm VII"	0.044401
Taurus	0.0442926
toothpaste	0.0442294
clenbuterol	0.0442
Passat	0.0441705
apparel	0.0441609
"prescription medicine"	0.0441602
Barbie	0.0441516
Genentech	0.0441049
"software product"	0.0440456
ephedrine	0.0439782
vodka	0.0439056
Tait	0.0438681
))
(clarity (desc 27769.7) (sims
subtlety	0.135116
precision	0.131933
elegance	0.131655
honesty	0.12955
consistency	0.126658
simplicity	0.125919
eloquence	0.125284
intensity	0.122723
freshness	0.117281
candor	0.113827
immediacy	0.112504
depth	0.111732
sophistication	0.11125
purity	0.110393
complexity	0.110296
richness	0.109526
coherence	0.107813
warmth	0.107802
flexibility	0.102729
accuracy	0.100862
frankness	0.100661
spontaneity	0.100398
crispness	0.100347
beauty	0.100037
versatility	0.0997903
compassion	0.0992607
vigor	0.099093
insight	0.0982878
dignity	0.0980214
poise	0.0973131
agility	0.0969167
refinement	0.0957517
texture	0.0950263
intimacy	0.0948772
quality	0.0948162
breadth	0.093647
wit	0.0933613
fluidity	0.0928138
nuance	0.0916729
sharpness	0.0914356
heft	0.0913399
intelligence	0.091149
humor	0.0907864
efficiency	0.0906984
humility	0.0904269
charm	0.0903297
directness	0.090262
urgency	0.0902331
seriousness	0.0900322
originality	0.0899809
sincerity	0.0898403
professionalism	0.0897313
dexterity	0.089709
courage	0.0896747
authenticity	0.0895414
flair	0.0895057
specificity	0.089359
virtuosity	0.0889873
quickness	0.0885176
grace	0.0882041
patience	0.0876454
realism	0.0876415
dynamism	0.0875186
vitality	0.0875062
wisdom	0.0870889
swiftness	0.0862333
sensitivity	0.0856714
continuity	0.0850654
lightness	0.0849621
solidity	0.084567
tenderness	0.0842844
sense	0.0841757
passion	0.0840341
Openness	0.083895
resonance	0.0828106
reliability	0.0828028
stamina	0.0826301
durability	0.0824131
fluency	0.082027
ease	0.0814599
strength	0.0814595
transparency	0.0814372
integrity	0.081437
cohesion	0.0810902
finesse	0.080992
sweetness	0.0806717
Creativity	0.0805878
intellect	0.0801221
athleticism	0.0799344
understanding	0.0797883
style	0.0793167
fairness	0.0793157
speed	0.0792005
verve	0.0782716
vision	0.0781873
tenacity	0.0776966
skill	0.0775458
uniformity	0.0773581
toughness	0.077243
comfort	0.0764847
confidence	0.0762848
excitement	0.076196
poignancy	0.076055
discipline	0.0759026
brilliance	0.0758518
brightness	0.0756007
completeness	0.0748416
diversity	0.0747935
certainty	0.0747819
charisma	0.0742751
bravado	0.0741356
credibility	0.0740534
determination	0.0739611
competence	0.073825
restraint	0.0738076
grandeur	0.0736285
self-confidence	0.0734184
tone	0.0733005
serenity	0.0730961
acuity	0.0730414
energy	0.072844
rigor	0.0724831
craftsmanship	0.0724613
perspective	0.0719488
Panache	0.0716963
predictability	0.0713524
empathy	0.0712151
self-awareness	0.0704434
gravity	0.0703632
civility	0.0700133
delicacy	0.0699724
emotion	0.0697563
"common sense"	0.0695625
ability	0.0691235
ingenuity	0.0690604
modesty	0.0688691
meaning	0.068802
"sense of humor"	0.0681729
detail	0.0678532
"sense of purpose"	0.0676523
harmony	0.0675592
knowledge	0.0674895
artistry	0.0672378
spirit	0.067218
truth	0.0669588
balance	0.0669117
color	0.0669061
taste	0.0667654
verisimilitude	0.0666291
boldness	0.0665917
enthusiasm	0.0665463
assurance	0.066432
regularity	0.0660052
maturity	0.0659988
flavor	0.0659061
ethic	0.0658074
resilience	0.0655863
dimension	0.065545
accountability	0.0654847
density	0.0654303
cleverness	0.0653985
pathos	0.0653001
effectiveness	0.0652802
generosity	0.0651145
unanimity	0.0650058
respect	0.064958
clarification	0.0649349
talent	0.0648898
dedication	0.0648784
composure	0.0647843
gusto	0.0644938
decency	0.0644672
probity	0.0643905
phrasing	0.0642232
fortitude	0.0640423
mobility	0.0640227
believability	0.063895
individuality	0.063795
diligence	0.0637598
objectivity	0.0636265
awareness	0.0636095
lucidity	0.0636014
spunk	0.0632758
logic	0.063153
"peace of mind"	0.0628056
resiliency	0.0627818
ferocity	0.062448
fullness	0.0623279
pleasure	0.0623247
familiarity	0.062244
unity	0.0621913
bravery	0.0619659
musicality	0.0617681
mastery	0.0617319
loyalty	0.061692
vibrancy	0.0616074
ambiguity	0.061427
aggressiveness	0.061259
Innocence	0.0611442
fervor	0.0609836
))
(Clark (desc 33719.7) (sims
Johnson	0.106941
Anderson	0.103566
"Wesley Clark"	0.101521
Ramirez	0.0987088
Wilson	0.0984473
Rodriguez	0.0970157
Gonzalez	0.0968288
smith	0.0966695
Williams	0.0956721
"Will Clark"	0.0955048
Vaughn	0.0937628
Jackson	0.0932625
Martinez	0.090692
Cohen	0.0892569
Palmeiro	0.088193
Albright	0.0881293
Richardson	0.0876769
Rubin	0.0874556
Davis	0.0872165
Powell	0.0868568
Wright	0.0864031
Griffey	0.0861082
Robinson	0.0856231
Olerud	0.0852606
McCaffrey	0.0852437
Taylor	0.085125
Blair	0.0850224
Primakov	0.0837649
Lee	0.0835714
Berger	0.0833334
Piazza	0.0832511
Phillips	0.0831945
Sergeyev	0.0830893
Lockhart	0.0830725
Daley	0.0829742
Carter	0.0827025
Garciaparra	0.0822806
Jones	0.0821246
Sullivan	0.0818128
Lott	0.0817383
Rogers	0.0814452
Shelton	0.0812836
Thomas	0.0809666
Cooper	0.0807454
Adams	0.0803998
Mitchell	0.0803902
Finley	0.0801648
Holbrooke	0.0799422
Perez	0.0797965
Miller	0.0796856
Samaranch	0.0793926
Zeile	0.0789707
Schmidt	0.078679
Solana	0.0785454
Mandela	0.0784922
Scott	0.0782646
Kendall	0.0782551
Annan	0.0778779
McGwire	0.0777692
Hamilton	0.0777337
McCurry	0.0776901
Stevens	0.0774417
Wiranto	0.0774302
Ventura	0.0773769
Sosa	0.0770911
Sele	0.0770637
Harris	0.0770612
Larkin	0.0770293
Lieberman	0.0768775
"William Cohen"	0.0767519
Garcia	0.0765888
Kennedy	0.0764248
Yeltsin	0.0763638
Aziz	0.0760372
Evans	0.0759034
Butler	0.0758922
Peterson	0.075886
Hashimoto	0.0758171
Prodi	0.0755232
Welch	0.0751461
Henderson	0.0747602
Campbell	0.074681
"Mo Vaughn"	0.0741113
Kim	0.0740677
Segui	0.073806
Canseco	0.0736872
Fischer	0.0735831
Mahathir	0.0735032
"Javier Solana"	0.0734471
fisher	0.0733041
Karros	0.0732233
Reno	0.0732038
Robertson	0.0730679
Weizman	0.0729757
Wetteland	0.0729591
Ritter	0.072845
Patterson	0.0727469
Hyde	0.0727397
Sharif	0.0725664
Kennard	0.0725638
Peres	0.0721772
Ripken	0.0720413
Kelly	0.071979
Bennett	0.0718979
Morris	0.0718309
Spencer	0.0718236
Thompson	0.0716381
walker	0.071554
Moore	0.0715277
Howard	0.0715193
Arafat	0.0714359
Barnes	0.071395
Allen	0.0711828
Hernandez	0.0711624
Ellis	0.0711259
Hundley	0.0711192
Gates	0.071034
Walsh	0.0710065
Gingrich	0.070995
Beltre	0.0709014
Ramos	0.0708781
Brown	0.0708767
Abubakar	0.0708284
"Rafael Palmeiro"	0.0708094
Fernandez	0.0707694
Dreifort	0.0707654
Hoffman	0.0706809
Meissner	0.0706718
Graham	0.0705101
Abbott	0.0703604
Saunders	0.0702716
Wang	0.0702002
Riley	0.0700179
Knoblauch	0.0699929
Ecevit	0.0698785
Chuan	0.0698784
Jeter	0.06985
Schroeder	0.0697553
Musharraf	0.0697072
Clinton	0.0696252
Lewis	0.0696076
Ortiz	0.0694778
Brooks	0.0694457
Giuliani	0.0693583
Valentin	0.0693472
"Ken Griffey Jr."	0.0693414
Barshefsky	0.06914
Offerman	0.0690701
Zhu	0.0690533
Stottlemyre	0.0689963
Kinkel	0.06896
Helton	0.0689344
Edwards	0.0689154
turner	0.0688796
martin	0.0686418
Wahid	0.0686314
Wallace	0.0686096
Watson	0.0684345
Tung	0.0683249
Stewart	0.0683165
"Jim Thome"	0.0682968
O'Connor	0.0682494
Gwynn	0.0681375
Cheney	0.0680761
Boone	0.0680658
Greene	0.0680504
Ryan	0.0680364
Owens	0.0679769
Kaplan	0.0679718
Mordechai	0.067793
"Chipper Jones"	0.0677708
Greer	0.0676593
he	0.067646
Greenspan	0.0676148
Gardner	0.0676024
Tucker	0.0675512
Castro	0.0674816
Obuchi	0.0674168
O'Neill	0.0673727
Johnston	0.0673714
Eizenstat	0.0673412
Livingston	0.0671124
Clemens	0.0670689
Blake	0.0670291
Ferguson	0.0670198
Casey	0.0669556
Zarb	0.0669113
Sanders	0.066825
Bryant	0.0667761
Reid	0.066744
Bradley	0.0666351
Carroll	0.0666072
Putin	0.0665839
Barak	0.066499
Parker	0.0663879
Klein	0.0663778
Olson	0.0663575
Abdullah	0.0662907
Hoddle	0.0662884
Netanyahu	0.0662635
))
("Clark Gable" (desc 3932.92) (sims
"Katharine Hepburn"	0.262016
"James Stewart"	0.189247
"Cary Grant"	0.183412
"Gary Cooper"	0.17875
"Jimmy Stewart"	0.17785
"Joan Crawford"	0.177495
"James Cagney"	0.170145
"Errol Flynn"	0.1676
"W.C. Fields"	0.160214
"Audrey Hepburn"	0.154875
"James Dean"	0.146951
"Spencer Tracy"	0.146432
"Henry Fonda"	0.143507
"Greta Garbo"	0.142203
"Gregory Peck"	0.138122
"Bing Crosby"	0.136892
"Humphrey Bogart"	0.132622
"Ava Gardner"	0.129143
"Marlene Dietrich"	0.125674
"John Wayne"	0.124661
"Marlon Brando"	0.112786
"Ingrid Bergman"	0.10983
"Kirk Douglas"	0.106255
"Judy Garland"	0.106095
"Elizabeth Taylor"	0.104257
"Laurence Olivier"	0.103289
"Bette Davis"	0.103167
"Jack Benny"	0.0932484
"Frank Sinatra"	0.092568
"Fred Astaire"	0.091157
"Burt Lancaster"	0.0908206
"Jack Lemmon"	0.0904556
"Lucille Ball"	0.0884531
"Lauren Bacall"	0.0878546
"Bob Hope"	0.0878286
"Jacqueline Kennedy"	0.0877122
"Mae West"	0.0851986
"Vivien Leigh"	0.0832655
"Orson Welles"	0.0728769
"George Burns"	0.0697927
"Marilyn Monroe"	0.069117
"Charlie Chaplin"	0.0677501
"Walter Matthau"	0.0674546
"Charlton Heston"	0.0638653
"Milton Berle"	0.0623778
"Barbra Streisand"	0.0615755
"Buster Keaton"	0.061529
"Grace Kelly"	0.0609908
"Clint Eastwood"	0.0609162
"Richard Burton"	0.0593821
"Martin Sheen"	0.0589929
"J. Edgar Hoover"	0.0589742
"Tracey Ullman"	0.0588884
"Marx Brothers"	0.0586894
"Frank Capra"	0.0582943
"Lana Turner"	0.0564481
"Jack Dempsey"	0.0564309
"Alfred Hitchcock"	0.0557837
stooge	0.0554158
"Dean Martin"	0.0553129
Monkees	0.0539105
"Jerry Lewis"	0.0533659
"Roy Rogers"	0.0528232
"Sally Field"	0.0526426
"Ella Fitzgerald"	0.0525738
"Jeff Daniels"	0.0519331
"Will Rogers"	0.0517454
gable	0.0515226
"Brigitte Bardot"	0.0514583
"John Ford"	0.0501
"Jessica Lange"	0.0497399
"Leonardo DiCaprio"	0.0495683
"Elvis Presley"	0.0493998
Costner	0.0488516
"Mickey mouse"	0.0486859
"Rat Pack"	0.0483077
"Jimmy Smits"	0.0480244
"Warren Beatty"	0.0470892
"Sophia Loren"	0.0467301
"Steve McQueen"	0.0466138
"Jackie Chan"	0.0465935
"Meryl Streep"	0.0463559
"Joan Allen"	0.0461904
"Bruce Lee"	0.0461861
"William Hurt"	0.0460324
"Sidney Poitier"	0.0458766
"Janis Joplin"	0.045397
"Jodie Foster"	0.0452867
"Albert Brooks"	0.0452153
"Kevin Costner"	0.0450223
"Jack Nicholson"	0.044964
"James Van Der Beek"	0.0447774
"Liza Minnelli"	0.0443242
"Martin Lawrence"	0.0437913
"Burt Reynolds"	0.043624
"John Belushi"	0.0432184
Bogart	0.0429958
"David Spade"	0.0421162
"Arnold Schwarzenegger"	0.0420544
"Keanu Reeves"	0.0416511
"Gene Autry"	0.041616
"Rob Lowe"	0.0412923
"Sean Connery"	0.0412101
"Gene Hackman"	0.0411204
"Wesley Snipes"	0.0409863
"Chow Yun-Fat"	0.0409843
"Kirsten Dunst"	0.0405909
"Steve Martin"	0.0404937
"Whoopi Goldberg"	0.0404863
Cleese	0.0402692
"Goldie Hawn"	0.0402502
"Richard Dreyfuss"	0.0401296
))
(Clarke (desc 10929.5) (sims
Montgomerie	0.10582
Appleby	0.0997752
Duval	0.0846181
Parnevik	0.0810154
Levin	0.0796246
bock	0.0773116
Garcia	0.0772928
Barrett	0.0761424
Keenan	0.0760433
Faldo	0.0752314
Ferguson	0.075215
Flanagan	0.0751926
Silverman	0.0749158
MCGEE	0.0743327
O'Meara	0.0739177
Leonard	0.0738532
Huston	0.0729278
Browne	0.0727556
Christensen	0.0726353
Daly	0.0722802
Ricart	0.0716667
Riley	0.0713456
Mickelson	0.0708776
Cohen	0.0706219
Singh	0.0697039
Robertson	0.0694531
Sutton	0.0693374
Eisner	0.0692729
Nelson	0.0687983
Kennard	0.0683136
Rosenthal	0.0683019
Benton	0.0682568
Ruggiero	0.06805
Meissner	0.0679428
Merritt	0.0678752
Webb	0.0675843
Lehman	0.0673752
Stewart	0.067298
wheeler	0.0666587
Sorensen	0.0663062
Davies	0.066291
Watson	0.0661643
"Van Gundy"	0.0661184
Cline	0.0660958
Waxman	0.0660808
Goldberg	0.0658906
Gonzalez	0.065471
Nicklaus	0.065251
Markovic	0.0651022
Byrd	0.0647353
Menchu	0.0646667
Fleischer	0.0644771
Elliott	0.0644651
Atkinson	0.0643537
Bellush	0.0642831
Patten	0.0642755
Barshefsky	0.064248
Dowd	0.0641851
Daley	0.0640133
Hoddle	0.0639787
Tagliabue	0.0637462
Adams	0.0636448
Jimenez	0.0636189
Stephenson	0.0635589
Walsh	0.0635295
Ramseys	0.0633672
Zucker	0.0632877
Cooper	0.0632657
Burke	0.0632161
Johnston	0.0631886
Bowman	0.0631724
Ritter	0.0631667
Harrington	0.0631089
Mann	0.0631043
smith	0.0631039
Berenson	0.0629224
Liu	0.0629057
Caddell	0.0628969
Shepard	0.0628794
Cink	0.0628725
Pierce	0.0627793
Hess	0.0627341
Peterson	0.0626953
Falk	0.0626568
Jackson	0.0625387
Friedman	0.062448
Hart	0.0624433
xu	0.0623364
Kendall	0.062283
Doyle	0.0622806
Moxley	0.0622391
Goldin	0.0621169
Lin	0.0620416
Ramirez	0.0620201
Milutinovic	0.0619549
Brooks	0.061914
Stricker	0.0618633
Reid	0.0618619
Feldman	0.061733
Goldstein	0.0617183
Dolan	0.0614463
Newhouse	0.0614234
Ivey	0.0611954
Zhang	0.0611148
Edwards	0.061083
Flores	0.0610073
Woodard	0.0609557
Bowers	0.0609254
Sergeyev	0.0608887
O'Connor	0.0608131
Slepian	0.0607903
Grunwald	0.0607554
Lamberth	0.0607516
McCurry	0.0607071
Shi	0.0607035
Thompson	0.0606521
Jensen	0.0604907
Fuentes	0.0604354
Byrne	0.0603797
Westwood	0.0603621
Plummer	0.0603248
Fiorina	0.0603024
Becker	0.0602941
Lowery	0.0601399
Hoffman	0.0600569
Greenwald	0.060045
Bowden	0.0600016
Miller	0.0599545
Wiggins	0.0599016
Pitino	0.0598949
Rossi	0.0598747
Corzine	0.0598294
Graham	0.0597694
Carroll	0.0596915
Moore	0.0596772
Fahey	0.0596657
Herron	0.0596359
Newman	0.0596065
Crenshaw	0.0596001
Iverson	0.0595333
Torre	0.0593468
Armstrong	0.0593323
Ashrawi	0.0593218
Richardson	0.0593153
Cunningham	0.0592611
Weinstein	0.05921
Bowen	0.0592049
Cleary	0.0591656
Carlson	0.0591079
Schwartz	0.0589877
"Darren Clarke"	0.0589863
Prewitt	0.0587363
Troussier	0.0586591
Levitt	0.0585487
Azizah	0.0584958
Harris	0.0584463
Rossotti	0.0584429
Lawrie	0.0584382
Carey	0.0583709
Shriver	0.0583133
Kuehne	0.0582725
Pearce	0.058222
Stahl	0.0581597
Crawford	0.0581133
Morris	0.0581125
O'Brien	0.0581062
Russo	0.0580967
Palmer	0.058079
Dixon	0.0580661
Hamlin	0.0580516
Sullivan	0.0580345
Kaye	0.0579811
Bhutto	0.0579592
Daft	0.0579543
Brazile	0.0579218
Johnson	0.0579175
Evans	0.0578355
Magee	0.057821
fisher	0.0578165
Kim	0.0578139
Diggs	0.0577157
Mullin	0.0576578
Hauser	0.0576135
Kissinger	0.0574649
Maggert	0.0574055
lynch	0.0573973
Skakel	0.0573415
Kelly	0.0573066
Coughlin	0.0572886
Betts	0.0571954
Klima	0.0571761
Roberts	0.0571529
Allen	0.0571486
Walters	0.0571024
Cheney	0.0570299
Rosario	0.0569823
Alvarez	0.056976
Yang	0.0569642
Kirby	0.0569422
Inman	0.0569302
))
(clash (desc 113281) (sims
fighting	0.22271
confrontation	0.218978
conflict	0.199147
skirmish	0.19506
riot	0.193348
violence	0.181604
rioting	0.171213
unrest	0.169607
battle	0.165579
tension	0.157171
incident	0.154064
standoff	0.146631
scuffle	0.146371
war	0.14437
bloodshed	0.143667
attack	0.141871
gunbattle	0.141553
showdown	0.138163
raid	0.134834
dispute	0.13266
explosion	0.131678
protest	0.130981
shoot-out	0.130926
shootout	0.130828
gunfight	0.130593
"civil war"	0.130478
brawl	0.13006
demonstration	0.129638
bombing	0.128141
firefight	0.12771
shelling	0.126711
feud	0.122945
strike	0.121138
massacre	0.120909
fight	0.119613
match	0.119027
hostility	0.118554
strife	0.1173
killing	0.115898
encounter	0.115603
disturbance	0.113824
accident	0.113808
crisis	0.11302
Collision	0.112749
struggle	0.112388
warfare	0.111496
ambush	0.110783
shooting	0.108233
fire	0.106828
crash	0.106327
outbreak	0.10575
"bomb blast"	0.105219
"air raid"	0.10493
quarrel	0.104717
blast	0.104458
melee	0.103812
controversy	0.103417
Quake	0.103353
turmoil	0.102537
crossfire	0.102412
friction	0.102036
earthquake	0.101227
disaster	0.100753
debate	0.100079
flood	0.0989285
eruption	0.0989221
bombardment	0.0976682
altercation	0.0974726
tragedy	0.0972721
instability	0.0971198
coup	0.0962116
looting	0.095998
rivalry	0.095893
uprising	0.0958389
disagreement	0.0956075
assault	0.0946018
collapse	0.094431
negotiation	0.0938049
catastrophe	0.0928309
crackdown	0.0926945
rebellion	0.0922008
talk	0.0911857
Rally	0.0897476
gunfire	0.0895772
chaos	0.0895531
famine	0.089456
rampage	0.0888243
rift	0.0888156
storm	0.0887677
squabble	0.0886328
flare-up	0.0884609
offensive	0.0883504
escalation	0.0881242
landslide	0.0880769
"pitched battle"	0.0879862
invasion	0.0878117
meeting	0.0876353
trouble	0.0876163
duel	0.0872697
scandal	0.0872312
blaze	0.0871574
"arms race"	0.0871449
stalemate	0.0870814
exchange	0.086925
deadlock	0.086817
semifinal	0.0861309
arrest	0.0858175
combat	0.0845025
crises	0.0834798
situation	0.0832053
epidemic	0.0829773
airstrikes	0.082946
insurgency	0.0828585
upheaval	0.082769
kidnapping	0.0826009
contest	0.0823263
mishap	0.0821844
matchup	0.0821537
revolt	0.0819572
operation	0.0809582
abduction	0.0808569
drought	0.080716
problem	0.0806909
"forest fire"	0.0805599
"economic crisis"	0.080556
walkout	0.0803993
difference	0.0802486
disruption	0.080192
competition	0.0801064
quarterfinal	0.0798877
shutdown	0.0798507
robbery	0.0791599
"military action"	0.0790422
discussion	0.0790303
calamity	0.0790081
loss	0.0789768
assassination	0.0789677
action	0.0787379
casualty	0.0787332
firing	0.0780137
"price war"	0.077767
bickering	0.0773074
"flash flood"	0.0771714
breakdown	0.0771324
shortage	0.0769471
confusion	0.0768586
atrocity	0.0766342
final	0.0763681
Death	0.0763354
rain	0.0763319
spill	0.0762685
fracas	0.0762197
carnage	0.0756522
incursion	0.0756268
"drive-by shooting"	0.0755933
tremor	0.0754494
turbulence	0.0753062
devaluation	0.0752796
argument	0.075157
bout	0.0751183
activity	0.0747711
impasse	0.0746426
split	0.0745066
contact	0.0744156
tornado	0.074378
blackout	0.0741967
lawlessness	0.0741781
crime	0.0741591
slowdown	0.0739363
tie	0.0738565
round	0.0736551
failure	0.0736543
event	0.0736143
delay	0.0731423
recession	0.0723027
decline	0.0722581
slaying	0.0722507
defeat	0.0722172
wrangling	0.0716666
agreement	0.0715962
election	0.0713485
"power failure"	0.071322
"air attack"	0.0709264
sell-off	0.0708275
"cup final"	0.0705735
downturn	0.07048
wave	0.0704728
hijacking	0.0704289
downpour	0.070207
glitch	0.0698935
mayhem	0.0698804
selloff	0.0698221
relation	0.0694318
slump	0.0692722
mutiny	0.0692661
game	0.0692515
dialogue	0.0692036
misunderstanding	0.0691819
shootouts	0.069163
deterioration	0.0691043
))
(class (desc 189263) (sims
school	0.136443
classroom	0.125414
course	0.123203
student	0.121297
program	0.116202
training	0.11474
education	0.106736
teacher	0.104675
curriculum	0.102548
College	0.0997667
category	0.0995156
seminar	0.0978075
Exam	0.0952532
workshop	0.0937727
event	0.0922288
"high school"	0.0921619
group	0.0917085
study	0.0893932
lesson	0.086455
lecture	0.0852291
race	0.0845117
"training program"	0.084346
skill	0.0843096
room	0.0840771
grade	0.0839879
math	0.0836184
session	0.083586
work	0.083288
kindergarten	0.0830765
textbook	0.0805047
competition	0.0803369
service	0.079819
practice	0.0796006
conference	0.0790654
game	0.078944
show	0.0785623
job	0.0777663
family	0.077557
semester	0.0772722
team	0.0770766
instructor	0.0769369
test	0.0765423
faculty	0.0760447
book	0.0758512
life	0.0754658
"primary school"	0.0754222
enrollment	0.0753143
"public school"	0.0751993
sport	0.0743237
teaching	0.0739148
meeting	0.0736613
performance	0.073487
club	0.0734346
counseling	0.0733923
camp	0.0733227
Tuition	0.0729982
concert	0.0719732
contest	0.0719449
child	0.0718147
tour	0.0716852
activity	0.0716077
workout	0.0715347
business	0.070951
system	0.0708048
"education program"	0.0707792
one	0.0703045
type	0.070103
major	0.0701022
"private school"	0.0700748
library	0.0697272
exercise	0.069539
center	0.0694108
festival	0.0691303
division	0.068857
generation	0.0688473
"middle school"	0.0688472
world	0.0687633
championship	0.0687388
Exhibition	0.0687187
kid	0.0686514
history	0.0686242
career	0.0683122
scholarship	0.0683072
English	0.0679579
research	0.0678935
audience	0.0678588
"elementary school"	0.0674636
tournament	0.0673795
pupil	0.0672231
care	0.0671547
gender	0.066981
woman	0.0668567
science	0.0668016
number	0.0667891
institution	0.0665608
instruction	0.0665363
theater	0.0664998
professor	0.0664591
forum	0.0664376
car	0.0660348
degree	0.0660009
university	0.0656967
experience	0.0656161
age	0.0654146
project	0.0653635
series	0.0649291
graduate	0.0648017
"day care"	0.0645095
clinic	0.0644586
classmate	0.0644252
pool	0.0643674
people	0.0642758
community	0.0640435
football	0.0638961
technique	0.0638564
movie	0.063825
reading	0.0638061
culture	0.0636185
"summer camp"	0.0633809
language	0.0633557
league	0.0633293
gym	0.0633059
two	0.0629651
background	0.0628518
rehearsal	0.0628194
place	0.0627944
schooling	0.0627654
symposium	0.0627108
dinner	0.0627098
list	0.0626108
market	0.0625879
trip	0.0624345
treatment	0.0624331
"educational program"	0.0623902
position	0.062247
style	0.0622327
hall	0.0621761
film	0.0621362
standard	0.0620254
discipline	0.061973
trial	0.0618606
shelter	0.0618274
exhibit	0.061743
"law school"	0.0616723
religion	0.061626
preschool	0.0615993
home	0.0615344
office	0.0614555
music	0.061184
area	0.0608432
Computer	0.0605091
profession	0.0605074
building	0.0602876
field	0.0602623
ceremony	0.0600983
level	0.0600934
athlete	0.059986
organization	0.0599788
player	0.0599366
art	0.0598811
store	0.059871
dance	0.0598669
department	0.0596955
speech	0.0596447
subject	0.059587
space	0.0595046
testing	0.0595028
homework	0.0591763
house	0.0590753
church	0.0590492
marathon	0.0590203
debate	0.0589911
collection	0.0589785
Three	0.0589396
rank	0.0587282
segment	0.0586946
party	0.0586779
all	0.0585665
gathering	0.0585511
company	0.0585133
therapy	0.0584748
staff	0.0584243
sex	0.0583928
screening	0.0582521
meal	0.0582429
lineup	0.0582273
facility	0.0582258
crowd	0.0581728
girl	0.0581666
site	0.0581534
case	0.0580873
hospital	0.0580655
operation	0.0580089
fair	0.0579236
vacation	0.0579141
time	0.0577824
politics	0.0576736
circle	0.0576028
senior	0.0575259
drill	0.0574252
))
("Class AAA" (desc 1527) (sims
"minor league"	0.14787
"American Hockey League"	0.140393
A.L.	0.125929
AHL	0.120261
"Federation Cup"	0.118667
"International League"	0.113078
"Pacific Coast League"	0.105281
"Division I-AA"	0.103937
IHL	0.0924949
NL	0.0892768
AAA	0.0887994
"National Invitation Tournament"	0.0883692
"big league"	0.0871838
"World Championship"	0.0867795
"Big Sky Conference"	0.0847278
"major league"	0.0847154
"American League"	0.0840246
"National League"	0.0830596
"Division @"	0.0822065
Tacoma	0.0799524
"won nine"	0.0782142
"AFC Central"	0.0781098
Pawtucket	0.0769253
"Uber Cup"	0.0762239
"Phenix City"	0.07494
"Central Division"	0.0733524
CAA	0.0732104
"National League East"	0.0715558
"Arena Football League"	0.0711729
"International Hockey League"	0.0710993
"National League West"	0.0710752
"Hopman Cup"	0.0708869
Albuquerque	0.0702012
"little league"	0.0700541
"Fed Cup"	0.0693653
"Hong Kong Open"	0.0685082
"Southwest Conference"	0.0684888
"Swiss Open"	0.0678947
"Gold Glove"	0.0674999
"Pan Pacific"	0.0670559
snooker	0.06699
"first nine"	0.0669442
nine-time	0.066085
C-USA	0.0659849
"Japan Open"	0.0656116
CBA	0.0655095
"Italian League"	0.0651221
"Western Athletic Conference"	0.0650925
UAM	0.0647895
"U.S. Olympic"	0.0645754
WCC	0.0638769
"South Regional"	0.0627555
"Big West"	0.0627424
"World League"	0.0626787
"Thomas Cup"	0.0626382
"Tom Brady"	0.0618348
Pacific-@@	0.0618108
"League Cup"	0.0615209
"Atlantic Coast Conference"	0.0613955
"Conference USA"	0.0608835
"won six"	0.0607152
"National League Central"	0.0606839
"first six"	0.0606776
Barnsley	0.0600592
EuroLeague	0.0595789
"NL Central"	0.059544
under-@@	0.0595102
epee	0.0594787
"Sweet @@"	0.0588309
"Little League World Series"	0.0587336
three-meter	0.0586072
"NFC East"	0.0583909
"West Regional"	0.0580588
ml	0.0580456
Oriole	0.0579993
"MLS Cup"	0.0579734
nit	0.0579652
WAC	0.0579347
"European Champions Cup"	0.0574954
"Libertadores Cup"	0.0573469
NFC	0.0572975
"Dunhill Cup"	0.0572756
"National Collegiate Athletic Association"	0.0571566
CWS	0.0570826
"water polo"	0.0567103
"won seven"	0.0566585
fact-finding	0.0561388
"Copa America"	0.0557601
"NFC Central"	0.0551012
"SEC East"	0.0550523
"Southeastern Conference"	0.0550025
"Midwest Regional"	0.0549723
"New York Yankee"	0.0549308
"Red Star"	0.0549044
Calipari	0.0547652
"won eight"	0.0545071
AFC	0.0543564
"Hamlet Cup"	0.0541771
"European Cup"	0.0540292
"NL East"	0.0536946
"Fox Network"	0.0532693
"Canadian Football League"	0.0532329
"Western Conference"	0.0529891
hardcourt	0.0527858
"NFC West"	0.0526065
"won four"	0.0525368
"Funny Car"	0.0523361
lacrosse	0.0521877
softball	0.0520442
"Continental Basketball Association"	0.0519097
"U.S. Amateur"	0.0518758
"Busch Grand National"	0.0518226
"Big East"	0.0518163
"ice hockey"	0.0517967
Bundesliga	0.0516383
"American League West"	0.0514385
ABL	0.0509231
"Stockholm Open"	0.050458
ECW	0.050413
"Top Fuel"	0.0501474
cruiserweight	0.0500036
Norfolk	0.0499371
"one million US dollars"	0.0497486
"Eastern Conference"	0.0497002
"first seven"	0.0493909
"Gold Cup"	0.0487813
"F.A Cup"	0.0486063
"John Mabry"	0.0484451
ACC	0.048157
"Opening Day"	0.0481
"AL West"	0.0480994
"Pan Ams"	0.04798
"won one"	0.0475886
AFL	0.0472479
"Eastern Division"	0.0471279
"Sudirman Cup"	0.0471071
multiplayer	0.0470474
"AFC West"	0.0468468
"Davis Cup World Group"	0.0466084
CONCACAF	0.0465866
"St. Louis Cardinals"	0.0464637
"professional baseball"	0.0463488
Lipton	0.0462551
"fifth and sixth"	0.0458381
Fulham	0.0456426
"AL Central"	0.0454795
"first cup"	0.0454382
"junior welterweight"	0.045352
Kupchak	0.045284
"won five"	0.0451717
"first eight"	0.0451233
ATP	0.0450555
"field hockey"	0.0450123
"Italian Open"	0.0449902
"Kremlin Cup"	0.0449636
"U.S. Senior Open"	0.0447696
"South Bend"	0.0447618
"AL East"	0.0447422
"won two"	0.0446541
ABA	0.0446246
"Pacific Division"	0.044571
"junior college"	0.0445035
wildcard	0.0443972
"Champions Cup"	0.0443658
"right-handed pitcher"	0.0443056
"first five"	0.0442926
"English Premier League"	0.0442455
"Chinese Army"	0.0442011
WBO	0.0440116
"ATP Tour"	0.0437715
"Canadian Open"	0.0436891
"TOMS RIVER"	0.0436845
"Big Sky"	0.0435913
"AFC East"	0.0435839
"American Football League"	0.043562
"United States Open"	0.0433732
"Skate America"	0.043251
"San Francisco Giants"	0.0431136
"Hail Mary"	0.0430236
GP	0.0428931
"junior lightweight"	0.0428346
judo	0.0426588
"College World Series"	0.0426415
varsity	0.0421931
"match play"	0.0421484
"American League East"	0.0421302
"first three"	0.0421174
"first four"	0.0419796
"Grand Slam Cup"	0.0417612
USSR	0.0417458
NPR	0.0415849
croquet	0.0413353
"East Regional"	0.0412744
"won three"	0.041089
"basketball league"	0.0409797
bobsled	0.0407801
"off-speed pitch"	0.0406961
"Cactus League"	0.0405804
treetop	0.0404826
"Cup Winners Cup"	0.0403233
))
("Class I" (desc 1222.85) (sims
Imola	0.0839565
Suzuka	0.0805348
bodybuilding	0.0770555
Monza	0.0751816
p@@	0.0729035
telomerase	0.0696075
MG	0.0657688
Silverstone	0.0655492
hedgehog	0.0649123
non-American	0.058088
luge	0.0548776
"consumer product"	0.0545748
Marc	0.053284
over-@@	0.0530308
interferon	0.0517138
"cystic fibrosis"	0.0513959
Terminator	0.0498256
sunken	0.0492085
narcolepsy	0.0487486
psoriasis	0.0479023
"roughly @@@,@@@"	0.0471864
Ironman	0.0465497
halfpipe	0.0458464
"about @@@ to @@@"	0.044901
AHP	0.0447369
pontoon	0.0433391
"job candidate"	0.0431981
"track event"	0.0428792
Searle	0.0425277
Ogilvy	0.0424378
"pop quiz"	0.0421839
"Consultative Group"	0.0415065
"object lesson"	0.0410499
Isis	0.0406885
Gibbons	0.04012
))
("class struggle" (desc 1120.5) (sims
"rest day"	0.0660992
Spago	0.0634077
relativity	0.0595809
tribalism	0.0594599
homelessness	0.0586361
SIESTA	0.0565042
exigency	0.0560591
newness	0.0560485
femininity	0.0553559
masculinity	0.0544932
rearing	0.0542789
deterrence	0.0536084
"Seasons Hotel"	0.0530711
snowman	0.0529656
"nuclear family"	0.0527572
"Jim Harrick"	0.0514491
drudgery	0.0508813
foreplay	0.0504868
predation	0.0501989
"natural selection"	0.0501858
CFCs	0.0501481
victimhood	0.0498733
dollarization	0.0490552
"Playboy Mansion"	0.0487712
punctuality	0.048134
personalization	0.0480484
"Emmy Award"	0.0478367
Marxism	0.0477873
"Jack Benny"	0.0477511
Fascism	0.0476743
"six degrees"	0.0474053
"Ebbets Field"	0.0472765
faceoffs	0.0470443
"white supremacy"	0.0466011
whimsy	0.0465357
creationism	0.0461982
nepotism	0.0460451
Hinduism	0.0458059
infallibility	0.0456373
decolonization	0.0451108
schoolwork	0.0449082
"prescription medicine"	0.0446279
Ravelstein	0.0441822
militancy	0.0438529
Washingtonian	0.0436588
mutilation	0.0431063
rectitude	0.0427142
Mormonism	0.0424686
radicalism	0.0424371
dissonance	0.0421306
longer	0.0421284
"old times"	0.041967
SBA	0.0417028
autocrat	0.041593
"European Convention"	0.0415634
dyslexia	0.0415405
"professional wrestling"	0.0414057
"Balkan Wars"	0.0413778
bullfight	0.0413581
wholeness	0.0412161
unionism	0.0411769
"direct action"	0.0410251
"collective security"	0.040912
domesticity	0.040876
containment	0.0406288
cannibalism	0.0405377
"torture chamber"	0.0403786
Soleil	0.0403345
"Abbie Hoffman"	0.0403041
socializing	0.0402472
McCarthyism	0.0401452
colonialism	0.0400876
))
("class warfare" (desc 2712.92) (sims
brinksmanship	0.0863333
self-censorship	0.0781045
sexism	0.0773077
brinkmanship	0.0737763
collegiality	0.0668796
electioneering	0.0663443
"proxy fight"	0.0656046
"wishful thinking"	0.0653831
demagoguery	0.0640258
McCarthyism	0.0631118
one-upmanship	0.0619963
"damage control"	0.0614148
"shell game"	0.0598969
arbitrage	0.059656
"sour grapes"	0.0596444
populist	0.059241
isolationism	0.0591133
"musical chair"	0.0585441
Elitism	0.0584658
insurrection	0.0582497
bigotry	0.0577527
blackmail	0.057593
gotcha	0.0558207
gamesmanship	0.0554168
"crime wave"	0.0552213
conservatism	0.0541161
"double talk"	0.052708
colloquy	0.0525602
cross-fertilization	0.0522931
horseplay	0.0513469
overkill	0.0508309
"tit for tat"	0.0506617
brashness	0.0502651
"power politics"	0.0495612
seesaw	0.0488667
firefights	0.0488028
"hot potato"	0.0482222
"saber rattling"	0.0481913
crap	0.0480771
nationalism	0.0476045
chauvinism	0.0475087
slugfest	0.047354
extremism	0.0471546
ninja	0.0471441
meanness	0.0471117
eugenics	0.0470848
liberalism	0.0470791
Airness	0.0470104
hardball	0.046978
volunteerism	0.0466016
commercialism	0.0464462
copout	0.0462396
coming-out	0.0461644
"civil disobedience"	0.0458851
give-and-take	0.0457305
hypocrisy	0.0457116
escapism	0.045706
cannibalism	0.0451699
"price war"	0.0450716
anti-Semitism	0.0449014
"commercial activity"	0.0447887
protectionism	0.0447713
antagonism	0.0447259
free-for-all	0.0447087
partisanship	0.0443489
censorship	0.0442904
"small talk"	0.0441782
federalism	0.0440864
self-interest	0.0436415
horse-trading	0.0432602
fisticuffs	0.0432106
misogyny	0.0428941
chutzpah	0.0428155
provincialism	0.0427673
interrelationship	0.0424545
sensationalism	0.0422281
"psychological warfare"	0.0420288
"deja vu"	0.0419684
hysteria	0.0419312
go-slow	0.0417824
nastiness	0.0416933
finger-pointing	0.041644
Minuet	0.0416363
"Old Style"	0.0416095
totalitarianism	0.0414396
nepotism	0.0412316
insularity	0.0410261
"guessing game"	0.0409835
psychobabble	0.040941
Hokey	0.0409029
rancor	0.0408454
firefight	0.0407983
imperialism	0.0406679
"price cutting"	0.0404819
"name calling"	0.040446
indoctrination	0.0404049
gumption	0.0402658
superstition	0.040187
))
(classic (desc 71602.6) (sims
masterpiece	0.124557
film	0.110624
movie	0.105235
novel	0.101228
musical	0.10047
Song	0.10013
music	0.0972802
tale	0.0940413
thriller	0.0901671
drama	0.0893595
epic	0.088899
comedy	0.0884707
opera	0.0883511
original	0.0879614
literature	0.0869046
book	0.0831981
art	0.0823169
style	0.0813426
ballet	0.0809815
poetry	0.0796046
version	0.0788116
tune	0.0785337
genre	0.0779357
album	0.0775611
legend	0.0772315
poem	0.0769938
tradition	0.0751988
icon	0.074666
story	0.0736704
painting	0.0734877
history	0.0731864
fiction	0.073113
dance	0.072606
series	0.0716154
event	0.0715695
documentary	0.0712758
"best seller"	0.0705475
fantasy	0.0696945
Recording	0.068737
collection	0.06844
artist	0.0683886
adaptation	0.0674885
adventure	0.0674874
festival	0.0670687
"short story"	0.0668336
"TV show"	0.0657103
ballad	0.0655722
concert	0.0654838
text	0.0654411
theater	0.0653513
flick	0.0645268
video	0.0643442
writing	0.0642671
culture	0.0642344
Shakespeare	0.0642281
piece	0.064132
staple	0.0638566
cartoon	0.0637138
theme	0.0634961
Derby	0.0634916
repertory	0.0631723
"television show"	0.0626428
"feature film"	0.062088
scene	0.0620536
Entertainment	0.0618797
memoir	0.0618611
race	0.0614237
hero	0.0610519
lyric	0.0608315
Bible	0.0607369
character	0.0604122
Jazz	0.0603463
recipe	0.0602544
cuisine	0.0602208
fashion	0.0598955
remake	0.0598252
fable	0.0597263
special	0.0596924
cliche	0.0595698
western	0.059076
biography	0.058755
"love story"	0.0586851
script	0.0586119
favorite	0.0584282
edition	0.0584008
psycho	0.0583264
blockbuster	0.0581968
mystery	0.0579402
"Kentucky Derby"	0.0578851
philosophy	0.057736
cookbook	0.0577273
Revue	0.0576557
sitcom	0.0576204
religion	0.0573771
marathon	0.0573597
commercial	0.0572785
sport	0.0571872
greats	0.057171
image	0.0570904
treasure	0.0569552
Romance	0.0569074
myth	0.0568982
satire	0.0568775
architecture	0.0567503
picture	0.0567405
composer	0.0564758
feature	0.0564379
title	0.0563535
soundtrack	0.0563309
design	0.0563018
Screenplay	0.0562449
revival	0.0560445
Encyclopedia	0.0557335
portrait	0.0555685
concept	0.0553569
Fantasia	0.0553517
landmark	0.0550545
melodrama	0.0550353
textbook	0.0550123
gem	0.0546826
"art form"	0.0545725
tournament	0.0544919
dish	0.0544427
verse	0.0542818
blue	0.054229
master	0.0541975
technique	0.0541862
comic	0.054177
model	0.0541582
"work of art"	0.0539023
bestseller	0.0538419
sequel	0.053703
toy	0.053494
hymn	0.0534278
furniture	0.0533879
anthem	0.0532326
life	0.0531153
writer	0.0531107
theory	0.0530765
photograph	0.0530573
sound	0.0530522
performance	0.0529384
material	0.052856
noir	0.0527544
catalog	0.0527506
Journalism	0.0527102
championship	0.0526862
translation	0.0526426
trilogy	0.0525901
contest	0.0525364
dictionary	0.0525139
cinema	0.0524525
ritual	0.0523774
language	0.0522812
"comic strip"	0.0522073
"folk song"	0.0521952
antique	0.0519202
landscape	0.0519064
dream	0.0518159
beauty	0.0516586
skit	0.051589
drawing	0.0515308
debut	0.0514789
fare	0.0512952
cabaret	0.0511614
episode	0.0509482
tribute	0.0508807
celebrity	0.0508007
autobiography	0.0507023
magazine	0.0507012
melody	0.0506339
sculpture	0.0506225
artifact	0.0506004
CD	0.0504112
extravaganza	0.0503528
works	0.0502543
relic	0.0502469
pop	0.0502357
star	0.0501813
tragedy	0.0501334
mathematics	0.0501268
thing	0.0500323
fun	0.0499861
"soap opera"	0.0499742
animation	0.0499574
joke	0.0499004
cooking	0.0498641
novella	0.0498329
singer	0.0496678
essay	0.0495956
mythology	0.0493371
brand	0.0493202
print	0.0492666
musician	0.049225
periodical	0.0491948
subject	0.0491733
wine	0.0491707
idea	0.0491614
heroine	0.0491102
duet	0.0490733
))
("classical ballet" (desc 1293.43) (sims
"modern dance"	0.0769867
"Dirty Bird"	0.0701235
"musical theater"	0.0676751
Limon	0.0664332
Hula	0.0633335
"Peking Opera"	0.063077
"classical music"	0.0617257
non-American	0.0609894
storybook	0.060138
"martial art"	0.0548351
"American West"	0.0545316
dot.com	0.0542799
Salome	0.0536438
two-step	0.0529868
uptempo	0.05281
calypso	0.0516314
cost-conscious	0.0514689
ordinariness	0.0512542
noir	0.0507742
plagiarism	0.0506488
Ailey	0.0503211
Minuet	0.0493458
exactitude	0.0487595
realpolitik	0.048548
"art form"	0.0483424
"dance music"	0.0483292
tailoring	0.0479505
shui	0.047921
oppressed	0.047821
harpsichord	0.0478064
O's	0.0475646
"Big Sur"	0.0473739
"economic theory"	0.0470946
"Homo sapiens"	0.0469045
instrumentation	0.0464473
Santas	0.0463723
"theatrical production"	0.0463296
Stroganoff	0.046312
modernism	0.0461992
"talk of the town"	0.0459369
flamenco	0.0458018
"jigsaw puzzle"	0.0454504
"popular music"	0.0448487
agronomy	0.0448208
"musical comedy"	0.0444886
"silent movie"	0.0444149
"fortune cookie"	0.0441547
shading	0.0441455
"parlor game"	0.0441243
astronomy	0.0440799
Israelites	0.0436495
reportage	0.0432245
freebies	0.042929
idyll	0.042841
portraitist	0.0425971
"natural science"	0.0425914
handicapper	0.042565
preachy	0.0424818
Bekaa	0.0424445
"high fashion"	0.0424258
divinity	0.0422431
fakery	0.0422385
bebop	0.0422255
videogame	0.0421547
mambo	0.042093
bluegrass	0.04206
"Betsey Johnson"	0.0419808
outerwear	0.0418855
exoticism	0.0417551
puppetry	0.0414274
goalscorer	0.0411429
"facial expression"	0.0405112
Firebird	0.0402373
))
("classical music" (desc 17080.7) (sims
"pop music"	0.166846
"popular music"	0.148765
Jazz	0.14577
"country music"	0.143434
music	0.142927
"musical theater"	0.131819
"folk music"	0.131619
opera	0.124793
"chamber music"	0.123876
bluegrass	0.108532
poetry	0.102511
ballet	0.101787
rap	0.0999936
art	0.0989947
"modern dance"	0.0979989
dance	0.0954024
gospel	0.0923872
symphony	0.091777
literature	0.0898377
"rock 'n' roll"	0.0896892
hip-hop	0.0883001
pop	0.0880761
Reggae	0.0871903
rhythm-and-blues	0.086252
"R&AMP;B"	0.0855372
Song	0.0855324
"folk song"	0.0823918
"dance music"	0.0810663
cinema	0.0795546
klezmer	0.0777173
"fine art"	0.0766548
architecture	0.0756316
photography	0.0755104
ballad	0.0748945
"folk art"	0.0748841
operetta	0.0747575
oldies	0.0743832
theater	0.0733583
folklore	0.0723919
"Peking Opera"	0.0722922
"big band"	0.071953
blue	0.0704626
"martial art"	0.0701298
Latin	0.069516
Mozart	0.0676402
repertory	0.0675282
Entertainment	0.0672446
puppetry	0.0662099
Journalism	0.0660866
Bach	0.0653641
hockey	0.065236
science	0.0650462
tune	0.0648563
Beatles	0.0647965
honky-tonk	0.0634827
concerto	0.0631636
"horse racing"	0.0629553
Americana	0.0628657
ragtime	0.0623807
recital	0.0621168
"video game"	0.0620224
"classical ballet"	0.0617257
"folk dance"	0.0615773
fashion	0.0612901
cuisine	0.0609851
merengue	0.0607047
baseball	0.0600737
fiction	0.0600084
concert	0.0599034
genre	0.0586367
singing	0.0584417
composer	0.0583308
audio	0.0582971
acrobatics	0.0581651
chess	0.0579855
cabaret	0.0579487
golf	0.0579007
basketball	0.0578869
oratorio	0.0576803
calligraphy	0.0576376
"professional golf"	0.0575938
publishing	0.0575736
Recording	0.0574162
bebop	0.0572863
football	0.057105
flamenco	0.0570015
violin	0.0569178
wrestling	0.056912
samba	0.0568497
wine	0.056844
rock-and-roll	0.0566526
video	0.056533
"art form"	0.0562864
drama	0.0560907
"professional basketball"	0.0560497
modernism	0.0560354
animation	0.0557878
piano	0.0553919
techno	0.0553836
"rock and roll"	0.0553286
Sinatra	0.0551283
Motorsports	0.0550535
programming	0.0547419
"spoken word"	0.0545621
folk	0.0545532
yoga	0.0541832
comic	0.0538258
musical	0.0535062
soccer	0.0534084
"string quartet"	0.0533672
painting	0.0533506
boxing	0.0531348
tango	0.0530303
"show business"	0.0530016
Racing	0.0526955
electronica	0.0524103
outdoors	0.052286
soundtrack	0.0521942
MP@	0.0518033
tennis	0.0517924
"national anthem"	0.0516802
calypso	0.0515831
"avant garde"	0.0513698
waltz	0.0513155
Beethoven	0.0510786
"fine arts"	0.0510778
mathematics	0.0509747
Funk	0.0509567
arts	0.0509528
bagpipe	0.0507586
philosophy	0.0506211
mime	0.0505454
"symphony orchestra"	0.0502929
modeling	0.0501425
"musical comedy"	0.0497067
"professional football"	0.0496988
hymn	0.0496804
Shakespeare	0.0495346
Buddhism	0.0494771
vaudeville	0.049262
Stravinsky	0.0492204
religion	0.0492184
off-Broadway	0.0487441
Gymnastics	0.0486849
dancing	0.0486648
broadcasting	0.0485801
writing	0.0485439
"computer game"	0.0483616
philanthropy	0.0483418
salsa	0.0482894
Ellington	0.0482407
"Beijing Opera"	0.0481458
orchestra	0.0480952
"soap opera"	0.0478653
"space program"	0.04784
pornography	0.0475277
melody	0.0475175
rhythm	0.0473945
"science fiction"	0.0473558
composition	0.0472164
antique	0.0469253
Broadway	0.0467144
gardening	0.0465753
Phish	0.0464615
Wagner	0.0463792
Aria	0.0463001
circus	0.0461962
lyric	0.0460312
"English language"	0.045812
English	0.0457951
duet	0.0456824
choir	0.0456374
Porgy	0.0455606
spirituality	0.0455103
soul	0.0451731
comedy	0.0451573
"art movement"	0.044963
Gershwin	0.0449324
cooking	0.0447902
Lullaby	0.044626
artwork	0.0445685
"Good Book"	0.0445152
"jazz musician"	0.044465
"professional wrestling"	0.0443812
disco	0.0443655
"rock band"	0.0442685
drum	0.0440755
astronomy	0.0438306
Judaism	0.0438252
trivia	0.0437312
multimedia	0.043295
Botany	0.0432673
guitar	0.0431918
cricket	0.0430978
Mahler	0.0430653
Marxism	0.0429287
drumming	0.0428485
poem	0.0427491
"puppet show"	0.0427145
solo	0.042614
))
(classicism (desc 2759.12) (sims
traditionalism	0.0626054
"free association"	0.0592723
classicist	0.0546558
nobleman	0.0540991
kitsch	0.0537568
drivel	0.0528352
pacifism	0.0524491
idiom	0.0520032
grandeur	0.0510641
Palazzo	0.0496701
expressionism	0.0475575
esthetics	0.0457229
modernism	0.0446683
grammar	0.0444753
secularism	0.0444373
craftsmanship	0.0440382
courtesan	0.0437969
spirituality	0.0429942
cantata	0.042977
statuary	0.0429615
sophistication	0.0428446
virtuosity	0.0428057
athleticism	0.0424838
"modern dance"	0.0421827
nationhood	0.041344
"legal code"	0.0412805
abstraction	0.0411687
naturalism	0.0410109
stardom	0.0409609
"essential oil"	0.0401226
))
(classicist (desc 1364.64) (sims
"big leaguer"	0.0912047
contrarian	0.0726208
linguist	0.0708655
mathematician	0.0704594
musicologist	0.0673353
lexicographer	0.0658684
yachtsman	0.0657591
newspaperman	0.0652167
student-athlete	0.0637817
stylist	0.0632521
realist	0.0616224
drivel	0.0610186
singer-songwriter	0.0605121
"character actor"	0.0600533
"role player"	0.0599529
"traveling salesman"	0.0588744
wordsmith	0.0583602
stinker	0.0581502
crooner	0.0579653
sportswriter	0.0576495
segregationist	0.0572018
"draft dodger"	0.0571936
snob	0.0571211
"music critic"	0.0570467
goal-scorer	0.0569789
"stage director"	0.0565713
screamer	0.0563922
provocateur	0.0561131
neurosurgeon	0.0553625
horseman	0.0550189
statesman	0.0549735
classicism	0.0546558
idealist	0.054642
oceanographer	0.0546056
calligrapher	0.0533222
optimist	0.0531807
goalscorer	0.0530688
minimalist	0.0528361
troubadour	0.052212
"art historian"	0.0521827
"hard worker"	0.0521183
individualist	0.0520261
singer-songwriters	0.0516759
Aggie	0.051589
craftsman	0.0513504
clinician	0.0512606
geographer	0.0512122
"good person"	0.051163
oddsmakers	0.05115
D.J	0.0511068
handicapper	0.0508195
southpaw	0.0506651
"Bob Fosse"	0.0505287
"P.T Barnum"	0.0502829
traditionalist	0.0502146
innkeeper	0.0501616
chanteuse	0.0500882
weatherman	0.0499805
purist	0.049862
"old hand"	0.0497611
"grad student"	0.0495995
ballerina	0.0495831
wickedness	0.0495106
genealogist	0.0494219
"New Englander"	0.0493683
warhorse	0.0493235
storekeeper	0.0489184
organist	0.0482055
Hick	0.0479815
Striver	0.0479565
socialite	0.0477591
psychopath	0.0477339
autocrat	0.0476868
meritocracy	0.0476601
perfectionist	0.047608
miler	0.0475894
has-been	0.0475157
pragmatist	0.0474109
showman	0.0473116
raconteur	0.0473025
slob	0.047186
chameleon	0.0470905
lyricist	0.0470696
animator	0.0469771
accompanist	0.0469634
Trailblazer	0.0468074
"blue blood"	0.0465845
Marxist	0.0465747
songwriter	0.0465606
ideologue	0.046532
walk-on	0.0460968
"disc jockey"	0.0458765
egomaniac	0.0458446
"tough guy"	0.0455569
portraitist	0.0455152
"rock group"	0.0453681
recluse	0.0450845
naturalist	0.0450001
technologist	0.0449684
forester	0.0448811
charmer	0.0448237
theologian	0.0447826
"sports fan"	0.0447464
junkie	0.044468
botanist	0.0442751
ornithologist	0.0442515
stylings	0.0441154
"heavy hitter"	0.0439731
geezer	0.0436411
"track star"	0.0433847
woodworker	0.0432937
humorist	0.0430941
documentarian	0.0430233
DEADBEAT	0.0428615
archivist	0.0428393
Solver	0.0428111
cognoscenti	0.042671
paleontologist	0.0424714
deejays	0.0424586
cartoonist	0.042335
"fashion designer"	0.0423074
"jazz musician"	0.0421105
intelligentsia	0.0420967
evangelist	0.0417328
instrumentalist	0.0417094
Ginsberg	0.0416925
"hockey player"	0.0416578
Tendulkar	0.0416377
cinematographer	0.0416272
auteur	0.0415075
deejay	0.041295
L'Equipe	0.0412876
Cronje	0.0412585
infantryman	0.0410448
Krall	0.040959
cantor	0.0409391
"wise guy"	0.0407467
revisionist	0.0406987
knucklehead	0.0404978
isolationist	0.0403248
swashbuckler	0.0403159
Creationists	0.0402684
DJ	0.0402306
dramatist	0.0402204
"wonder boy"	0.0401898
"George Michael"	0.0401779
maestro	0.0401494
rascal	0.0401443
"art director"	0.0401432
picky	0.0400928
iconoclast	0.0400823
crock	0.0400336
))
(classification (desc 17017.6) (sims
category	0.0751342
certification	0.0701115
pricing	0.0677478
evaluation	0.0670922
guideline	0.0659832
assessment	0.0659038
allocation	0.0646342
regulation	0.0644143
qualification	0.0633748
registration	0.0630198
requirement	0.0629204
distribution	0.0620656
"Davis Cup World Group"	0.0616123
quota	0.0602251
definition	0.0596211
procedure	0.059377
criteria	0.0590599
methodology	0.0585151
appraisal	0.0574377
code	0.0572082
"quota system"	0.0571829
statute	0.0568326
accreditation	0.0568322
taxation	0.0565811
configuration	0.0565532
designation	0.0564399
ranking	0.0562458
protection	0.0562185
verification	0.056115
Formula	0.0561133
valuation	0.0554709
processing	0.0554017
"dollar amount"	0.0549765
examination	0.0547336
provision	0.0542086
"round robin"	0.0538502
disclosure	0.0530555
ownership	0.0528389
curriculum	0.0527837
calculation	0.0519726
"security clearance"	0.0519442
composition	0.0519296
mechanism	0.0518252
exemption	0.0517596
formulation	0.0517419
clearance	0.0514401
Ordinance	0.0512664
dosage	0.051117
technique	0.0510926
enforcement	0.0506607
"European Champions League"	0.050633
rating	0.050513
importation	0.0503606
concept	0.0501356
packaging	0.0497769
parameter	0.0497312
selection	0.0497008
inspection	0.0494493
grade	0.0494458
doctrine	0.0493455
eligibility	0.04934
preference	0.0493267
tariff	0.0492966
density	0.0492256
preliminary	0.0491682
characteristic	0.0488476
identification	0.0487854
method	0.0487784
arrangement	0.0487173
"tax rate"	0.0486553
recommendation	0.0484643
testing	0.0484578
Encryption	0.0481883
documentation	0.0480805
availability	0.0479884
"quality control"	0.0478092
bylaw	0.0476952
ratio	0.0474087
"trade policy"	0.0471661
"master plan"	0.0470491
"accounting system"	0.0470428
legislation	0.0469187
audit	0.0469032
zoning	0.046797
database	0.0467593
analysis	0.0466248
planning	0.0465797
placings	0.0463007
restriction	0.0462788
accounting	0.04617
measurement	0.0461387
framework	0.0461042
"area code"	0.0460061
procurement	0.0459693
forfeiture	0.0459038
interpretation	0.0458742
timetable	0.0458651
demarcation	0.0456704
preservation	0.0456183
"Fed Cup"	0.0455823
retention	0.0455101
supervision	0.0454714
specification	0.0451524
punishment	0.0451343
ethic	0.0451203
registry	0.0451119
patent	0.0450531
format	0.0449567
diversification	0.0448913
percentage	0.0447014
Privatization	0.0446908
listing	0.0445838
perception	0.0445385
governance	0.0445256
subsidy	0.0445054
"development plan"	0.0444496
diversity	0.0444197
portfolio	0.0443511
accountability	0.0442988
description	0.04428
resettlement	0.0442299
elimination	0.0440702
competitiveness	0.0439921
charter	0.0439918
directive	0.04392
assumption	0.0438613
write-off	0.0437946
revision	0.0437552
constitution	0.0437127
utilization	0.0436956
"rating system"	0.043676
clause	0.0436156
"field hockey"	0.0436106
seizure	0.0435763
identity	0.0434589
frequency	0.0434561
"economic system"	0.0431711
"water polo"	0.0431135
statistic	0.0430209
seniority	0.0429737
sharing	0.0428699
"pricing system"	0.0427494
"code of conduct"	0.0427328
appropriation	0.0427115
protocol	0.0427006
handball	0.0426687
Treaty	0.0426156
Implementation	0.042605
restructuring	0.0423258
suspension	0.0422995
"sneak preview"	0.0421512
wording	0.0420483
divestiture	0.0419762
inventory	0.0418909
"World Group"	0.0418696
recapitalization	0.0418591
oversight	0.0416401
mandate	0.0415988
membership	0.0415528
financing	0.0415227
termination	0.0415201
waiver	0.0414753
dynamics	0.0413717
sampling	0.0413438
"safety measure"	0.0412866
hierarchy	0.0411225
maintenance	0.04104
warmup	0.0410279
covenant	0.0410261
duplication	0.0410002
dynamic	0.0409453
reliability	0.0408946
reimbursement	0.0408531
"information system"	0.0407528
placement	0.0407467
diagnosis	0.04071
coordination	0.040664
"trade agreement"	0.0406628
finding	0.0406545
alignment	0.0405973
"rule of thumb"	0.0405918
"life style"	0.0404756
"European Cup"	0.0403923
conception	0.0403735
"legal system"	0.0403602
"identification number"	0.040337
transaction	0.0402988
allotment	0.0402536
regimen	0.0402422
"voting system"	0.0402292
"customs duty"	0.0402158
summary	0.0401431
"legal status"	0.040113
Liberalization	0.0401101
"time zone"	0.0400676
demographics	0.0400387
))
(classifieds (desc 1544.31) (sims
"order form"	0.0990897
"yellow pages"	0.0920931
"sports section"	0.0845467
"voting machine"	0.0831778
"phone book"	0.0752487
Izvestia	0.0743953
Reel.com	0.0727382
"voting system"	0.0718814
"El Mundo"	0.0717443
"gambling casino"	0.071005
bookmark	0.0707405
"Yomiuri Shimbun"	0.0688486
webcams	0.0688451
"Asahi Shimbun"	0.0687195
"New Nigerian"	0.0684902
"weather map"	0.0683727
"telephone book"	0.0683569
Hurriyet	0.0678197
"Wen Wei Po"	0.0668917
Maariv	0.0665163
"electrical device"	0.0663366
abacus	0.0663363
Al-Ahram	0.0649869
"Amazon.com Inc."	0.0639334
"retail operation"	0.0637064
"El Pais"	0.0630238
"business card"	0.0628191
"The Monitor"	0.0619201
"bulletin board"	0.060606
"telephone directory"	0.0603625
"South China Morning Post"	0.0599759
"Nhan Dan"	0.0593764
L'Equipe	0.0593387
"Koha Ditore"	0.0589846
"toy retailer"	0.0585961
postings	0.0582604
"Yediot Ahronot"	0.0579137
ZDNet	0.0573334
"brokerage account"	0.0572203
"wire service"	0.0571304
"incentive program"	0.0568546
"Iran News"	0.0561496
superstore	0.0558591
"Al Ahram"	0.0556629
"Business Day"	0.0553537
masthead	0.0553376
"Rodong Sinmun"	0.0553284
LNG	0.0552743
"Gulf News"	0.0549563
"bank statement"	0.0543273
newsgroups	0.0542476
retailing	0.0541305
"delivery service"	0.0540354
Chinese-Indonesians	0.0538379
"crossword puzzle"	0.0538161
motherboards	0.0538038
Hotlines	0.0537253
Politika	0.0536533
"pen pal"	0.0536498
"Nihon Keizai"	0.0534819
Drugstore.com	0.0532869
keyword	0.0532267
"application program"	0.0528614
quizzes	0.0524298
Legos	0.0522482
"raw data"	0.0521467
postage	0.0517445
"mailing address"	0.0515933
webcasts	0.051564
Priceline.com	0.0515339
CNET	0.0513064
Noticias	0.0512164
ECN	0.0507337
Salon.com	0.0507104
Reforma	0.0506269
"Lincoln Bedroom"	0.0506159
deliverer	0.0504895
Impressionist	0.0503498
editorialist	0.050286
Salam	0.0502664
"greeting card"	0.0501663
registrant	0.0501525
electability	0.0501437
MarketWatch.com	0.0500997
"flea market"	0.0499866
"air filter"	0.0499621
"chain letter"	0.0499108
"instruction manual"	0.04959
Malaya	0.0495593
"information provider"	0.0495458
obit	0.0494826
"dog tag"	0.0494099
"delivery truck"	0.0493746
smut	0.0491904
"TV commercial"	0.0490794
calculator	0.0489615
"news article"	0.0487739
dowel	0.0486276
urbanism	0.0486275
Granma	0.0483704
"instrument panel"	0.0483355
Al-Thawra	0.0482225
storefront	0.0481234
URL	0.0480876
browsing	0.0480289
"weather satellite"	0.0479597
Kommersant	0.0478819
"picture tube"	0.0476825
"M&AMP;Ms"	0.0475926
handicappers	0.0474845
"Red Star"	0.0474228
thesaurus	0.0474015
Tous	0.0473305
pixel	0.0472502
"beauty shop"	0.047159
videophone	0.0469676
horoscope	0.0468972
girder	0.0467331
"circuit board"	0.0465293
"reference book"	0.0463956
"woman's body"	0.0463954
"comic strip"	0.0463703
"piece of music"	0.046322
firewalls	0.0463189
afterburner	0.0463083
"Daily Nation"	0.0462088
freebies	0.046172
"Gilded Age"	0.046154
theocracy	0.045972
commode	0.045888
Bild	0.0457839
toolbars	0.0456827
"Cliffs Notes"	0.0456225
headcount	0.045483
ephemera	0.0453277
"fuel cell"	0.0451599
superhighway	0.0450197
bootlegger	0.0449965
Haaretz	0.0449884
"Windows CE"	0.0449572
"baseball card"	0.0449557
eToys	0.044924
Asahi	0.0448476
"grocery bag"	0.0448425
"telephone system"	0.0448413
IOU	0.0446111
"toy store"	0.0445854
"trading post"	0.0445337
"shower curtain"	0.0444084
instructions	0.0443835
CD-R	0.0443532
"Daily Mail"	0.0443077
"PT Cruiser"	0.0442858
"Daily Star"	0.0442274
"Kenya Times"	0.0441795
"National Organization"	0.0441096
clothes	0.0440413
"human waste"	0.0440271
Monster.com	0.0439685
raloxifene	0.0436366
"audio CD"	0.0435843
notation	0.043574
"computer language"	0.0435609
"investment trust"	0.0434951
diskette	0.0432935
wallboard	0.0432711
newsgroup	0.0432503
"Print Shop"	0.0432387
Acela	0.0431319
"consulting company"	0.0429845
Kwacha	0.0429783
prospectus	0.0429409
"publishing company"	0.0428822
kwanza	0.0428739
"ad blitz"	0.0428677
Babel	0.0428396
wristwatch	0.0426317
"trade publication"	0.0425783
MP@	0.0425307
"frequently asked question"	0.0424381
"transportation company"	0.0424373
"water pump"	0.0424257
endoscope	0.0424
"musical score"	0.0423487
"mailing list"	0.0422577
"alcoholic beverage"	0.0422512
DoubleClick	0.0422197
"bank note"	0.0422194
"The New Vision"	0.042178
beepers	0.0420785
zine	0.0420012
"weather station"	0.0419871
"optical fiber"	0.0419773
"phone system"	0.0419678
"Vietnam News"	0.0418695
"New Light"	0.041763
notary	0.0417386
"last two digits"	0.0417101
Atlas	0.041697
"entertainment business"	0.0416293
))
(classmate (desc 42059.1) (sims
schoolmate	0.164391
student	0.142582
co-worker	0.127882
friend	0.121841
colleague	0.110572
teacher	0.107725
roommate	0.105062
acquaintance	0.103117
peer	0.100915
pupil	0.100901
"family member"	0.0991585
boy	0.0985432
girlfriend	0.0964697
cousin	0.0951506
neighbor	0.0917862
girl	0.0914644
teen-ager	0.0910603
relative	0.0894013
graduate	0.0888493
boyfriend	0.0887245
mother	0.0862636
"faculty member"	0.0848633
parent	0.0844278
kid	0.0839877
teammate	0.0835062
brother	0.0828234
playmate	0.0825131
buddy	0.0822919
sister	0.0819167
"best friend"	0.0818359
Alumni	0.0812622
"police officer"	0.0809921
child	0.0789703
associate	0.0789294
"staff member"	0.0787337
daughter	0.078396
villager	0.0779651
grad	0.0773169
gunman	0.0771415
inmate	0.0770428
officer	0.0765439
comrade	0.0762696
"law student"	0.0756735
stranger	0.0755774
"young man"	0.0755249
grandmother	0.0752183
"science teacher"	0.0752044
man	0.0750639
coworker	0.0749838
"church member"	0.0746621
husband	0.0746046
fan	0.0741147
wife	0.0740265
grandparent	0.0739168
"graduate student"	0.0739121
teenager	0.0738137
senior	0.0738116
gunmen	0.0736477
sophomore	0.0726157
"football player"	0.0725494
"prison guard"	0.0725004
sibling	0.0724493
uncle	0.0723618
counselor	0.0723538
principal	0.0722332
victim	0.0721506
"loved one"	0.0714459
freshmen	0.0712472
assailant	0.0710784
youngster	0.0710393
professor	0.0709639
cadet	0.0701921
family	0.0700747
attacker	0.0700639
son	0.0697606
supporter	0.0696589
doctor	0.0686162
"math teacher"	0.0685832
policeman	0.0685472
niece	0.0684893
father	0.0683765
policemen	0.0675314
aunt	0.0671784
nephew	0.0667701
employee	0.0665062
athlete	0.0663872
priest	0.0660041
protester	0.0659147
PAL	0.0659095
juror	0.0656588
staffer	0.0655584
"crew member"	0.0650011
chum	0.0649959
woman	0.064979
undergraduate	0.0646687
aide	0.064459
class	0.0644252
schoolchildren	0.0642584
"security guard"	0.0641524
"little girl"	0.0640389
"young girl"	0.0640202
freshman	0.0639934
"college student"	0.0637857
nurse	0.0636871
dean	0.0636285
journalist	0.0635718
instructor	0.0635303
faculty	0.06338
activist	0.0632307
fiancee	0.0631083
soldier	0.0629793
countrymen	0.0629028
Cop	0.0624913
"young woman"	0.0624532
follower	0.0623075
person	0.0623006
adult	0.0622349
volunteer	0.0621344
teens	0.0620295
"basketball coach"	0.06182
someone	0.0618158
scientist	0.0616074
motorist	0.0615038
others	0.0613381
constituent	0.0613051
youth	0.0610982
parishioner	0.0609025
patron	0.0608285
sweetheart	0.0607494
grader	0.0606588
junior	0.0604728
mentor	0.0601024
lecturer	0.0600755
exwife	0.0600351
trooper	0.0599436
granddaughter	0.0598227
onlooker	0.0597852
companion	0.0597464
client	0.0595533
Reader	0.0594955
demonstrator	0.0593706
guy	0.0593127
administrator	0.0593053
reporter	0.059019
ex-girlfriend	0.0589809
Bos	0.0588276
psychologist	0.058825
"black man"	0.0588012
suspect	0.05871
politician	0.0586746
grandchildren	0.0586341
bodyguard	0.0585086
spouse	0.0585073
participant	0.0584785
guest	0.0583691
seminarian	0.058341
mourner	0.0582634
fellow	0.0582437
bystander	0.0582176
resident	0.058093
everyone	0.0578085
dropout	0.0577333
spectator	0.0577181
boss	0.0577038
survivor	0.0576555
prisoner	0.0575741
librarian	0.0573777
assistant	0.0571993
lover	0.0570244
sailor	0.0570132
everybody	0.0569935
mom	0.0569719
well-wisher	0.0569036
stepdaughter	0.0568773
researcher	0.0568497
Klebold	0.0568257
worker	0.0567631
confidant	0.0566202
patient	0.0564414
"medical student"	0.0563997
"football coach"	0.0563666
driver	0.0563294
anyone	0.0562533
robber	0.0562458
legislator	0.0561435
historian	0.0560586
"English teacher"	0.0560192
physician	0.0559614
guard	0.0558895
defendant	0.0558784
passenger	0.0558512
Israeli	0.0557884
"black woman"	0.0557874
prostitute	0.0557755
citizen	0.0557307
cheerleader	0.0556537
musician	0.0556441
subordinate	0.0555207
audience	0.0554707
supervisor	0.0552844
))
(classroom (desc 66223.7) (sims
school	0.156208
"public school"	0.153425
library	0.149627
room	0.139631
courtroom	0.135165
dormitory	0.128962
auditorium	0.1284
class	0.125414
apartment	0.121507
gym	0.121333
cafeteria	0.12099
bedroom	0.119646
kitchen	0.118823
gymnasium	0.11683
dorm	0.113253
"dining room"	0.1091
curriculum	0.108632
hall	0.108206
building	0.108185
"living room"	0.107997
kindergarten	0.104189
hallway	0.103835
"primary school"	0.103613
"conference room"	0.102713
"locker room"	0.102343
office	0.101812
"high school"	0.101519
theater	0.0990316
"middle school"	0.0981208
shelter	0.0977687
home	0.0977315
bathroom	0.0975336
garage	0.0974473
"elementary school"	0.0974454
Warehouse	0.0959886
clubhouse	0.0957413
house	0.0942015
hospital	0.0924246
workplace	0.0919958
church	0.0917043
textbook	0.091587
"dressing room"	0.091181
studio	0.0907121
clinic	0.0906526
laboratory	0.0904955
"hotel room"	0.0896936
"parking lot"	0.0893733
"dorm room"	0.0891587
teacher	0.0891399
store	0.088458
shop	0.0881845
cabin	0.0879134
College	0.0877167
cubicle	0.0873006
basement	0.0872592
space	0.0872416
campus	0.087012
Housing	0.0868717
closet	0.0866889
student	0.0865242
arena	0.0864709
playground	0.0864603
restaurant	0.0859981
lab	0.0856313
hotel	0.0854946
facility	0.0853124
"office building"	0.0851608
education	0.0850662
lobby	0.0848054
park	0.0845477
ballroom	0.0834386
neighborhood	0.0831889
pupil	0.0831221
terminal	0.0828371
prison	0.0825918
"private school"	0.0825041
"community center"	0.0823854
lounge	0.0823521
tent	0.0814847
gallery	0.0814723
museum	0.081103
stadium	0.0806959
"secondary school"	0.0806573
chamber	0.0806329
bed	0.0804566
"movie theater"	0.0801049
bar	0.0791808
curricula	0.0781851
center	0.0781848
elevator	0.0781201
schoolhouse	0.0770116
parlor	0.0764971
factory	0.076217
university	0.0761164
"post office"	0.0759782
dwelling	0.0755395
garden	0.0755136
synagogue	0.0754284
cafe	0.0754101
"waiting room"	0.0750581
mosque	0.0748562
household	0.0747798
chapel	0.0747199
system	0.0746934
suite	0.0745575
"exhibition hall"	0.0742692
Computer	0.0742463
program	0.0737265
area	0.0735774
NewsRoom	0.0735439
courthouse	0.0734016
math	0.0733719
barrack	0.0725017
"school district"	0.0724794
jail	0.0722602
"nursing home"	0.0720294
sanctuary	0.0719018
camp	0.0718345
booth	0.0717848
bookstore	0.0711565
storefront	0.0711014
restroom	0.0710862
marketplace	0.0709228
"foster home"	0.0707637
showroom	0.0705483
trailer	0.0705011
"living quarters"	0.0704413
"apartment building"	0.0700158
complex	0.0697571
"polling place"	0.0694574
mall	0.0692931
residence	0.0692209
locker	0.0691779
courtyard	0.0690822
teaching	0.0686336
"emergency room"	0.0686239
"swimming pool"	0.068407
car	0.0683286
cockpit	0.0682284
street	0.0681446
environment	0.0679667
preschool	0.0678861
village	0.0678132
bus	0.0677673
enrollment	0.067709
toilet	0.0674481
"day care"	0.0673544
"concert hall"	0.0672453
institution	0.0672281
life	0.0672079
market	0.0671323
workshop	0.0669736
community	0.0666611
"operating room"	0.0666265
"first grade"	0.0663179
desk	0.0662902
"school system"	0.0662448
"education program"	0.0662296
corridor	0.0661377
stall	0.0660331
field	0.0656235
"police station"	0.0656228
"shopping center"	0.0654754
hut	0.0653865
cell	0.0653485
Tuition	0.0653468
business	0.0649926
barn	0.0646058
station	0.0641119
job	0.0640159
shed	0.0639935
nursery	0.0639752
"polling station"	0.063935
English	0.0637743
box	0.0637067
"mobile home"	0.0636777
"Oval Office"	0.0635734
Capitol	0.0635661
hangar	0.0634562
pool	0.0632545
town	0.06322
"special education"	0.0631704
"dance hall"	0.0631258
club	0.0629012
greenhouse	0.0627991
pub	0.0627814
boardroom	0.0625508
temple	0.0619189
cemetery	0.0616218
Ballpark	0.0614788
grade	0.0614228
Tower	0.0613667
training	0.0612758
orphanage	0.061092
infrastructure	0.0606777
mansion	0.0606744
child	0.0606547
"back room"	0.0604098
cottage	0.0604006
"computer network"	0.0603317
))
(clatter (desc 2800.31) (sims
clang	0.1002
hum	0.0876859
Din	0.070481
ringing	0.062305
screech	0.0596961
whir	0.055359
creak	0.0545279
shriek	0.0520394
drone	0.0519371
banging	0.047948
jibe	0.0428095
fisticuffs	0.0427723
"mortar fire"	0.0417466
whistling	0.0417004
commotion	0.0413313
clack	0.0403239
))
(Claude (desc 2522.39) (sims
Knapp	0.0886788
Gerard	0.0792458
Gerald	0.0780143
Brack	0.077044
Dumitru	0.0770198
Karen	0.0766608
Debra	0.0759685
Frances	0.0738956
Marlene	0.0714538
Deborah	0.0712266
Maloney	0.0706335
Luis	0.0704248
Kenyon	0.0703315
Christine	0.0699914
Sonia	0.0698962
Erica	0.0693792
Jeff	0.0687953
Albert	0.0682281
Valerie	0.0659359
Phillip	0.0652688
Kathleen	0.0650109
Steven	0.0644832
Julie	0.0640949
Dawes	0.0640418
Gerry	0.0639961
Michele	0.0639357
Francisco	0.0631319
Miriam	0.0629476
Josephine	0.0625209
tom	0.0621061
Dave	0.0619068
Olivia	0.0615996
Olga	0.061109
Steve	0.0610752
Maureen	0.0610395
Roger	0.0600807
Naomi	0.0600042
Gaston	0.0599525
Daniel	0.0597511
Doug	0.0597029
Eileen	0.0591615
Goya	0.0591144
"Martin Lawrence"	0.0588526
Jessica	0.0587953
Andrew	0.0586323
"Caroline Kennedy Schlossberg"	0.0584879
Ethan	0.0584425
Brenda	0.0582711
Anthony	0.0581095
Helen	0.0580014
Megan	0.0579947
BEA	0.0570745
Dominic	0.0569696
Christopher	0.0569666
Barbara	0.0566993
Michelle	0.0566732
Suzanne	0.056647
Saul	0.0563105
Patricia	0.0562639
Elena	0.0562417
"John Jr."	0.0560633
Beye	0.0559272
Dorothy	0.0556126
Ramon	0.0555603
Kevin	0.0554179
Roberta	0.0553533
Philip	0.0552393
Ziegler	0.0550799
Edmund	0.0550133
Milbury	0.0550126
Gary	0.0548819
Ikeda	0.0547617
Heidi	0.0546812
Brian	0.0546647
Lawrence	0.0546424
Edward	0.0545899
Cindy	0.0545269
"De Soto"	0.0544454
Claire	0.0543283
Vladimir	0.0539887
Jacqueline	0.0539745
Shirley	0.0538176
Stephanie	0.0537214
Guterres	0.05369
Vernon	0.053682
Danny	0.0532736
Clarence	0.053169
Alan	0.0531596
Carl	0.0531463
Rick	0.0531217
STUART	0.0531102
Podesta	0.0530937
Laura	0.0526845
Evelyn	0.0526015
Kathy	0.0524967
Andrea	0.0524414
Beverly	0.0524319
Antonio	0.0523283
"Karenna Gore Schiff"	0.0523031
pickpocket	0.052243
Ali	0.0520424
Donnie	0.0520162
Brett	0.0519743
Andreas	0.0519598
Allan	0.0519298
Evander	0.0517227
Lydia	0.0515918
Lori	0.0512804
cecil	0.0512757
Brandon	0.051228
Monique	0.051212
Jamie	0.0511488
Larry	0.0509992
Debbie	0.0507936
Wayne	0.0507617
Harold	0.0506265
Sophie	0.0505274
Amy	0.0504756
Justin	0.0503119
Peter	0.0501953
Randy	0.0497435
Irina	0.0497387
Judith	0.049668
Ralph	0.049656
"Sam Schmidt"	0.0496302
Dominique	0.0496077
Catherine	0.049599
Venables	0.0495549
Marta	0.0495155
sandy	0.0493956
Patti	0.0490901
Miguel	0.0489987
Neil	0.0489385
Andy	0.0488859
Vance	0.048675
Shelby	0.0485642
Laudor	0.0485214
CAMILLA	0.0484219
Jose	0.0483737
Nicolas	0.0482115
Jennifer	0.0480876
Sizemore	0.0480701
Cathy	0.0480647
Todd	0.0479727
Sato	0.047902
Polly	0.0478489
Kenneth	0.0477316
Mukora	0.0477187
Kathryn	0.0476424
Gabriel	0.0476058
Kristin	0.0475636
Waddell	0.0475221
Alarcon	0.0475096
Delacroix	0.0474961
Walter	0.0474856
Pam	0.0474758
Peggy	0.0474585
Lorenzo	0.0473274
"Wlodzimierz Cimoszewicz"	0.0473232
Edith	0.0473105
Katherine	0.0472776
Behr	0.047212
Jenny	0.0471751
in-law	0.0471181
Jerry	0.0470554
Meredith	0.0469445
Robin	0.0469274
timothy	0.046889
Kasoulides	0.04685
Felix	0.046795
Susan	0.0467296
Sidney	0.0466679
Anne	0.0466642
Stan	0.0466519
Tarawneh	0.0464971
Elliott	0.0463909
Lacresha	0.0463732
Ernest	0.0461589
Keith	0.0459754
Talebi	0.0459426
Shawn	0.0458141
Sakakibara	0.0456277
"Igor Larionov"	0.0455743
Ivan	0.0454675
Hugh	0.0454188
Nunez	0.0453511
Jesse	0.0452614
Leon	0.0452005
matt	0.0451937
Matthew	0.0451912
Margaret	0.0451443
Clint	0.0451215
Eric	0.0450167
Vera	0.0450046
Johnny	0.0448735
"police sergeant"	0.0448564
Donna	0.0447726
Marty	0.0447597
Stroyev	0.0447005
Joshua	0.0446787
))
("Claude Lemieux" (desc 3817.99) (sims
"Milan Hejduk"	0.268221
"Adam Deadmarsh"	0.260384
"Chris Drury"	0.231604
"Joe Sakic"	0.214661
"Patrik Elias"	0.213964
"Bobby Holik"	0.208508
"Dave Andreychuk"	0.208475
"Jason Arnott"	0.200903
"Jay Pandolfo"	0.20054
"Petr Sykora"	0.195041
"Valeri Kamensky"	0.193504
"Sandis Ozolinsh"	0.19336
"Alexander Mogilny"	0.183696
"Scott Stevens"	0.177928
"Peter Forsberg"	0.177747
"Brian Rolston"	0.173023
"Dave Reid"	0.170968
"Scott Gomez"	0.161124
"Theo Fleury"	0.158024
"Randy McKay"	0.149449
"Ken Daneyko"	0.149031
"Lyle Odelein"	0.137952
"Scott Niedermayer"	0.137943
"ZIGMUND PALFFY"	0.133817
"Patrick Roy"	0.121149
"Pat Verbeek"	0.117244
"Vladimir Malakhov"	0.113575
"Jeff Friesen"	0.113474
"Pavel Bure"	0.112125
"Steve Heinze"	0.110832
"Dixon Ward"	0.110433
"Mike Keane"	0.110256
"Bill Guerin"	0.110225
"Ray Bourque"	0.110171
"Paul Coffey"	0.108497
"Brett Hull"	0.108182
"Wendel Clark"	0.106711
"Scott Thornton"	0.105378
"Pavol Demitra"	0.105274
"Todd Harvey"	0.104991
"Ken Belanger"	0.103249
"Darren McCarty"	0.102621
"Grant Marshall"	0.10231
"Blake Sloan"	0.0989305
"Anson Carter"	0.0976238
"Jere Lehtinen"	0.095961
"Mike Sullivan"	0.0941417
"Vincent Damphousse"	0.0935073
Arnott	0.0934782
"Matthew Barnaby"	0.0934252
Holik	0.0920915
"Darryl Sydor"	0.0918192
"Alexei Kovalev"	0.0912746
"Jamie Langenbrunner"	0.0907982
"Jaromir Jagr"	0.0903384
Hejduk	0.0898616
"Nelson Emerson"	0.0897177
"Rick Tocchet"	0.0895756
"Geoff Sanderson"	0.0895499
"John Madden"	0.0892648
"Brendan Shanahan"	0.0882787
Reichel	0.0880828
"Teemu Selanne"	0.0852338
Fleury	0.0844098
"Guy Carbonneau"	0.0839547
"Donald Audette"	0.083607
"Dallas Drake"	0.0835727
"Joe Juneau"	0.0823931
"Shane Doan"	0.0822821
"Stern John"	0.0822165
"Kirk Muller"	0.0813636
"Harry Kewell"	0.0811292
"Ziggy Palffy"	0.0811163
"Benoit Hogue"	0.081027
"Landon Wilson"	0.0807297
Nieuwendyk	0.0807019
"Jason Allison"	0.0801293
"Gabe Muoneke"	0.0793868
"Ted Donato"	0.0793792
"Jeremy Roenick"	0.0787598
"Kevin Freeman"	0.078674
"Doug Gilmour"	0.0786567
Sykora	0.0778904
"Greg Adams"	0.077631
"Grant Long"	0.077045
Elias	0.0770115
"Bob Corkum"	0.0768985
"Glen Murray"	0.0756868
"Cliff Ronning"	0.0755136
"Sun Wen"	0.0754427
"Ante Razov"	0.0753228
"Matt Johnson"	0.0747716
"Gary Roberts"	0.0747268
"Sergei Samsonov"	0.0740806
"Hu Weidong"	0.0740492
"Luc Robitaille"	0.074003
"Joe Murphy"	0.0737425
"Mathieu Schneider"	0.0737376
Rucchin	0.0737361
"Craig Johnson"	0.0734543
"Tony Amonte"	0.0733064
"Owen Nolan"	0.0715726
"Paul Kariya"	0.0713879
"Corliss Williamson"	0.070769
"Austin Croshere"	0.0707569
"Rob DiMaio"	0.070124
"Maurice Taylor"	0.0701151
"Mark Recchi"	0.0693833
Smolinski	0.0690202
Forsberg	0.0688868
"Joe Nieuwendyk"	0.0687415
"Craig Ludwig"	0.0686093
"Alan Henderson"	0.0686027
"Donald Brashear"	0.0681713
"Dmitri Khristich"	0.0678208
Kamensky	0.0678036
"Keith Jones"	0.0675638
"Sergei Fedorov"	0.0675276
"Keith Tkachuk"	0.0674099
"Jarvis Turner"	0.0673544
"Steve Duchesne"	0.0669211
"Brian Grant"	0.0666186
"Dale Hunter"	0.0666125
Drury	0.0662843
"Rodney Rogers"	0.0659454
"Tyrone Nesby"	0.0658234
"Cobi Jones"	0.065754
"Cedric Ceballos"	0.0657489
"Brenden Morrow"	0.0655649
"Chris Crawford"	0.0655084
"Christian Laettner"	0.0654922
"Alen Boksic"	0.0654339
"John LeClair"	0.0654111
"Shannon MacMillan"	0.0652322
"Michael Wright"	0.0651225
LaPointe	0.0649098
"Predrag Mijatovic"	0.0648898
"Tamika Catchings"	0.0648559
"Steve Thomas"	0.0648223
"J.R Reid"	0.0646474
Woolley	0.0639576
"Ron Francis"	0.0639087
"Steve Yzerman"	0.0636606
Carbonneau	0.0634848
"Chris Porter"	0.0633037
"Niklas Sundstrom"	0.0631059
Ricci	0.0629749
"Chris Carrawell"	0.0627608
McKay	0.0626957
"Richard Jefferson"	0.0622199
"Sean Elliott"	0.0619671
Daigle	0.061931
"P.J Axelsson"	0.0618344
MacLean	0.0617612
"Steve Rucchin"	0.0617333
"Pedro Astacio"	0.0615255
"Mark Madsen"	0.0614971
Langenbrunner	0.0612962
"Kyle McLaren"	0.0612538
"Marcus Fizer"	0.0611946
"Vladimir Tsyplakov"	0.0611635
"Kurt Thomas"	0.0611546
"Kenyon Martin"	0.0607787
"Brad Isbister"	0.0605587
Peca	0.0605316
"Michael Finley"	0.0600868
"Kristine Lilly"	0.0599142
"Chris Taylor"	0.0598923
Stumpel	0.0598346
"Peter Bondra"	0.059824
"Othella Harrington"	0.0597061
"Lamond Murray"	0.0593655
"Eric Lindros"	0.0592346
"Brian Skrudland"	0.0590638
"P.J Brown"	0.0589751
"Mia Hamm"	0.0587362
Baggio	0.0587223
"Robert Reichel"	0.0585885
"Keith Van Horn"	0.0585296
Sydor	0.0578525
Marchment	0.0577436
"Clarence Weatherspoon"	0.0577229
"Paul Pierce"	0.0575426
"Tim Taylor"	0.0575276
"Sergei Zubov"	0.0575133
"Derrick Coleman"	0.0574264
"Brian Scalabrine"	0.0571654
"Doug Weight"	0.0571507
"CORIE BLOUNT"	0.0570802
"Hidetoshi Nakata"	0.0570121
"Tim Thomas"	0.0569482
Bebeto	0.0569052
"Brian Laudrup"	0.0566725
"Gary Trent"	0.056668
"Roy Lassiter"	0.0566054
"Brian Bohanon"	0.0565945
"Jamie Feick"	0.0564983
"Dirk Nowitzki"	0.0564504
"Clifford Robinson"	0.056406
Andreychuk	0.056318
))
("Claude Monet" (desc 1576.17) (sims
"Jackson Pollock"	0.145165
"Pablo Picasso"	0.13769
"Georgia O'Keeffe"	0.135456
"Chris Ofili"	0.117759
"Vincent van Gogh"	0.11506
"Salvador Dali"	0.111561
"Francis Bacon"	0.101698
Monet	0.0959158
"Robert Rauschenberg"	0.0885673
"Andy Warhol"	0.0832753
Rembrandt	0.0803972
Manet	0.0707055
"landscape painting"	0.0656684
Gauguin	0.06508
Rodin	0.0596225
"Diego Rivera"	0.0584598
Vermeer	0.0551457
"Roy Lichtenstein"	0.053924
Caravaggio	0.0527707
Spartacus	0.0527465
"Norman Rockwell"	0.0524051
Matisse	0.0519054
Bonnard	0.0509207
Gogh	0.0505674
Cezanne	0.0502543
Degas	0.047636
Pierre	0.0438056
Gachet	0.0412971
Christo	0.0411465
Ofili	0.0408232
Impressionism	0.0405507
))
(Claudia (desc 2557.77) (sims
Eileen	0.144281
Kristin	0.128204
Irina	0.116513
Olga	0.114284
Cheryl	0.108821
Lori	0.108537
Edna	0.107712
Debbie	0.107087
Edith	0.106795
Kathleen	0.106639
Jacqueline	0.106239
Pam	0.10425
Maureen	0.104248
"Azizah Ismail"	0.103686
Patricia	0.103566
Doris	0.102835
Carolyn	0.102264
Erica	0.101288
Susan	0.100474
Frances	0.0997067
Millie	0.0992712
Beverly	0.0983238
Meg	0.0982304
Michele	0.0974479
Sonia	0.0972458
Lisa	0.0968001
Lydia	0.095622
Naomi	0.0955047
Cherie	0.095328
Suzanne	0.0953198
Diane	0.0951459
Cathy	0.0948905
Pauline	0.0945125
Terri	0.0940501
Margaret	0.0940235
"Karenna Gore Schiff"	0.0936306
Stephanie	0.092489
JoAnne	0.092146
Dorothy	0.0921155
Alexandra	0.0919853
Karenna	0.0918616
alicia	0.0917413
Brenda	0.0916791
Tracey	0.0913094
Kimberly	0.0905571
Dolores	0.0902606
Hadassah	0.0901751
Esther	0.0897695
Rebecca	0.0894855
Sylvia	0.0893425
Lynne	0.0892833
Sheryl	0.089137
Audrey	0.0883514
Christine	0.088245
Kathy	0.0879931
Emily	0.0876077
Jessica	0.0874432
Julie	0.0870267
Nicole	0.0866465
Polly	0.0858956
Teresa	0.085774
Elaine	0.0857723
gloria	0.0857069
Karen	0.0854941
Sophie	0.0841694
Cindy	0.0835685
Evelyn	0.0834005
"Wang Yeping"	0.082265
Camille	0.0820829
Vanessa	0.0819403
Leah	0.0811637
Lucia	0.0810334
Valerie	0.0808918
Sara	0.0799575
Caroline	0.0798213
Donna	0.0794972
Marilyn	0.0792779
Phyllis	0.0792491
Laura	0.0792359
Danielle	0.0791219
Julia	0.0785883
Vicki	0.0784479
Lois	0.0784048
Juanita	0.0783887
Ellen	0.0779727
Josephine	0.0777256
Tina	0.0775189
Sandra	0.0771264
Emma	0.0770821
Marta	0.0768537
Miriam	0.0764663
Monique	0.0763746
Eleanor	0.0763521
Linda	0.0761851
Jennifer	0.0759155
Melissa	0.0755068
Peggy	0.0753762
Deborah	0.0751616
Jenna	0.0746487
Natalie	0.0745194
Connie	0.0736125
Melanie	0.0735544
Rita	0.0734976
Marian	0.0732915
Katie	0.0729892
Elena	0.0729798
"Carolyn Bessette Kennedy"	0.0729277
Heidi	0.0729275
Beth	0.0726992
Kathryn	0.0726481
Marisleysis	0.0726164
Lynn	0.0724861
Samantha	0.0724028
Gina	0.0723485
Paula	0.0721764
Barbara	0.0720053
Shirley	0.0718159
Judy	0.0714055
Janet	0.071231
Amy	0.0711996
Jill	0.0711356
Liz	0.0710172
Rachel	0.0710084
Beatrice	0.0708438
Marie	0.0707264
Claire	0.0705162
Louise	0.0700661
ANN	0.0700013
colleen	0.0699921
Sarah	0.0699761
Brooke	0.0699179
Vivian	0.0697002
Anne	0.069493
Lucy	0.069233
Helen	0.0689581
Marianne	0.0688094
Wanda	0.0686092
Marlene	0.0680691
Christina	0.067899
Jane	0.0678336
Nora	0.0677043
Martha	0.0675913
Dora	0.0675622
Vera	0.0675118
Meredith	0.0671801
Angela	0.067139
Natasha	0.0668235
Debra	0.0666605
"Graca Machel"	0.0666579
Kate	0.0663774
"Jane Fonda"	0.0663503
Rhonda	0.0661863
Carol	0.0658121
Ashley	0.0657879
Denise	0.0651046
Michelle	0.0650013
Renee	0.0647929
Betsy	0.0647423
Maria	0.0646207
Winnie	0.0645919
Janice	0.0644728
Catherine	0.0644163
Roberta	0.0643972
Clara	0.0643473
Agnes	0.0643256
anna	0.0637275
Mona	0.0635357
Nancy	0.0633079
Melinda	0.0632742
Annette	0.0630405
Lyn	0.0629281
Hannah	0.0628351
Mandy	0.0624149
Jessie	0.062085
Tipper	0.0619206
Zoe	0.061874
"Zhu Lin"	0.0613878
Betty	0.0612197
Annie	0.0610878
Marion	0.0610313
Andrea	0.0606068
Madeline	0.0597281
Stacy	0.0595143
Jenny	0.0594536
"Winnie Madikizela-Mandela"	0.0593946
hazel	0.0593751
Patti	0.0592856
BEA	0.0591441
Elizabeth	0.0590327
"Marisleysis Gonzalez"	0.0590322
Katherine	0.0589125
Shannon	0.0587684
Judith	0.0586216
Sheila	0.0585653
Nina	0.0585404
Theresa	0.0585104
heather	0.0578562
Laurie	0.057655
Jeanne	0.057385
Lucille	0.0569543
))
("Claudia Benton" (desc 1592.34) (sims
"Martha Moxley"	0.249294
Benton	0.21418
"Barnett Slepian"	0.1627
"JonBenet Ramsey"	0.143839
"Matthew Shepard"	0.132033
"Frank Jobe"	0.125551
"James Byrd"	0.123181
Moxley	0.123132
PFC	0.113313
"James Byrd Jr."	0.10838
Hajdari	0.106546
JonBenet	0.105425
"Thomas Youk"	0.102975
"Lewis Yocum"	0.102199
"Nicole Brown Simpson"	0.101693
"Carole Sund"	0.0931509
schoolgirl	0.093139
Slepian	0.0928844
B.J	0.092599
"Galina Starovoitova"	0.0919328
Ileto	0.0907919
Bellush	0.0902714
Winchell	0.0882843
Gerardi	0.0879081
"school girl"	0.0877746
"Matthew Eappen"	0.0860646
"Patrick Dorismond"	0.0832113
stepdaughter	0.0795015
"Kendra Webdale"	0.0790578
sightseer	0.0789695
Lollar	0.078836
Webdale	0.0756293
Starovoitova	0.0746322
"Tupac Shakur"	0.0681901
Walser	0.0675081
"Amadou Diallo"	0.0661079
Moreau	0.0649541
"Martin Luther King"	0.063051
"Azem Hajdari"	0.0625135
motorcyclist	0.0620834
"Ruiz Massieu"	0.0600558
"Rodney King"	0.0600106
"Seibu Lions"	0.0590284
doorbell	0.0580302
Shepard	0.0575748
ex-girlfriend	0.0569641
naturalist	0.0566931
Gachet	0.0563628
Middleton	0.0560075
noncombatant	0.0551134
McNamara	0.0542616
"Tara Snyder"	0.0542491
"prison guard"	0.0540666
postman	0.0538869
"Sheila Jackson Lee"	0.0528583
"Lee Harvey Oswald"	0.0523772
Kenyon	0.0520695
Lecter	0.0519769
"Adam Petty"	0.0514141
SETI	0.051043
hitchhiker	0.050669
"Ron Brown"	0.0506459
Picard	0.0504596
"Judah Folkman"	0.0501196
obstetrician	0.0496327
Coughlin	0.0493157
"Emilio Bombay"	0.0488642
storey	0.0483924
Jekyll	0.0483274
fiancee	0.0483151
"congestive heart failure"	0.0481046
watchman	0.0480512
"white woman"	0.0476496
prefect	0.0476034
Felten	0.0475623
"Che Guevara"	0.047484
"Tim Johnson"	0.0468078
forceout	0.0464792
"law officer"	0.0463381
lawmen	0.0461588
Brundtland	0.0460768
Jobe	0.0460314
Yoon	0.0459069
Kurth	0.0456437
Popov	0.0455366
militiaman	0.0452593
Shao	0.0449148
Jules	0.0448777
"Bobby Phills"	0.0448017
Nicolas	0.0443481
"Gianni Versace"	0.0441654
"Jocelyn Thibault"	0.0432835
Sykes	0.0432288
"John Kennedy Jr."	0.0428952
"Champions Golf Club"	0.0427669
Hebert	0.0427359
Neulander	0.042723
"traveling salesman"	0.0426254
Larch	0.0423188
Castaneda	0.0422534
Gaither	0.0417423
"sperm whale"	0.0416309
Rupert	0.0414344
"David Koresh"	0.0412097
snowboarder	0.0411251
"Derrick Thomas"	0.0410002
Brawley	0.0408793
Dudayev	0.040843
"Mission Control"	0.0407938
Waite	0.0407255
Yarmila	0.04037
housemate	0.0403639
"Bosnian Muslims"	0.0401295
))
("Claudia Pechstein" (desc 1156.7) (sims
"Gunda Niemann-Stirnemann"	0.595001
"Hilde Gerg"	0.353203
"Rintje Ritsma"	0.334859
"Jeremy Wotherspoon"	0.303555
"Martina Ertl"	0.3017
"Martin Schmitt"	0.297129
"Katja Seizinger"	0.293932
"Sandra Voelker"	0.274267
"Wang Chunlu"	0.257147
"Gianni Romme"	0.253706
"Renate Goetschl"	0.239834
"Li Jiajun"	0.236059
"Thomas Stangassinger"	0.207513
"Maria Mutola"	0.205109
"Hiroyasu Shimizu"	0.20327
"Erik Zabel"	0.202429
"Isolde Kostner"	0.201515
"Heike Drechsler"	0.198358
"Anjelika Krylova"	0.1932
"Lasse Kjus"	0.186977
"Heinz-Harald Frentzen"	0.179834
"Elena Berezhnaya"	0.17758
"Yang Yang"	0.176461
"Kjetil Andre Aamodt"	0.172836
"Hermann Maier"	0.170106
"Anita Wachter"	0.16997
"Ralf Schumacher"	0.166984
"Juha Kankkunen"	0.160116
"Deborah Compagnoni"	0.158419
"Svetlana Masterkova"	0.154882
"Pernilla Wiberg"	0.153253
Zabel	0.151214
"Alexandra Meissnitzer"	0.151069
"Michael Von Gruenigen"	0.150371
"Wilson Kipketer"	0.150283
"Yu Zhuocheng"	0.150067
"Ian Thorpe"	0.14919
"Brooke Bennett"	0.143766
"Liu Xuan"	0.143362
"Claudia Poll"	0.143087
"Michele Bartoli"	0.141072
"Liu Limin"	0.137863
"Simona Amanar"	0.137077
"Tara Lipinski"	0.136469
"Nancy Kerrigan"	0.13631
"Elvis Stojko"	0.136085
"Maria Butyrskaya"	0.135614
"Abraham Olano"	0.13538
"Tommy Haas"	0.132477
"Inger Miller"	0.132422
"Chris Boardman"	0.128427
"Guo Jingjing"	0.128288
"Wang Yan"	0.12803
"Svetlana Khorkina"	0.127274
"Johan Museeuw"	0.126992
"Gabriela Szabo"	0.124821
"Michael Schumacher"	0.120685
"Francesco Casagrande"	0.120579
"Chen Hua"	0.120568
Doohan	0.118972
"Irina Slutskaya"	0.118909
"Jorgen Persson"	0.11706
"Laurent Brochard"	0.115907
"Michael Klim"	0.115371
"Denis Pankratov"	0.115055
"Fu Mingxia"	0.115026
"Daniel Komen"	0.113819
"Bernard Barmasai"	0.11209
Zuelle	0.112044
"Penny Heyns"	0.11119
"Alexei Yagudin"	0.110702
"Grant Hackett"	0.110679
"Alexei Nemov"	0.110469
"Michael Doohan"	0.110386
Shuwei	0.109206
"Michelle Kwan"	0.10908
"Susie O'Neill"	0.108288
"Paul Tergat"	0.107654
"Moses Tanui"	0.107492
"Lu Yufu"	0.107322
"Sarah Hughes"	0.107276
"Gong Ruina"	0.106199
"Richard Burns"	0.106043
Wiberg	0.105809
Sautin	0.104557
"Chen Lu"	0.103409
"Tonya Harding"	0.103259
Berasategui	0.10302
"Irina Privalova"	0.102079
"Tian Liang"	0.101687
"Sonia O'Sullivan"	0.101675
"Oksana Baiul"	0.10155
"Anke Huber"	0.101152
"Pavel Tonkov"	0.099325
"Boris Becker"	0.0991666
Ullrich	0.0991045
"Todd Eldredge"	0.0988193
"El Guerrouj"	0.0987505
"Allen Johnson"	0.0982899
"Dai Yun"	0.0979106
"Lenny Krayzelburg"	0.0977817
"Laurent Jalabert"	0.0974423
"Wang Junxia"	0.0963195
"Ivan Ivankov"	0.0961398
"Regina Jacobs"	0.0958999
"Wang Yifu"	0.094416
"Didier Auriol"	0.0944075
"Gong Zhichao"	0.0940515
"Jon Drummond"	0.0939517
"Samantha Riley"	0.0938942
"Kieren Perkins"	0.0938124
"Borussia Moenchengladbach"	0.0928196
"Nicolas Kiefer"	0.0927453
"Max Biaggi"	0.0926675
"Colin McRae"	0.0924206
Hoogenband	0.0923826
Seizinger	0.092135
"Bjarne Riis"	0.09167
"Mark Crear"	0.0916182
"C.J Hunter"	0.0914551
Makinen	0.0908954
Sainz	0.0901635
"Joko Suprianto"	0.0898344
"Tommi Makinen"	0.0896719
"David Prinosil"	0.0892808
"Khalid Khannouchi"	0.0891246
"Rainer Schuttler"	0.089032
"Ji Xinpeng"	0.0890014
"Michael Stich"	0.0888953
Kaiserslautern	0.0887571
"Amy van Dyken"	0.0884761
"Peter Rasmussen"	0.0884094
"Laurent Dufaux"	0.0882825
"Wu Yanyan"	0.0880202
"Chen Gang"	0.0879518
"Jenny Thompson"	0.0877799
Longo	0.087729
"Jearl Miles-Clark"	0.0877019
"Wang Tao"	0.0875422
"Tyler Hamilton"	0.0874735
"Mia Audina"	0.0873916
"Damon Hill"	0.0857698
"Katarina Witt"	0.0855415
Tomba	0.0844274
"Simon Archer"	0.0842737
Halard-Decugis	0.084065
"Colin Jackson"	0.0837464
Olano	0.0835035
"MIka Hakkinen"	0.0834428
"Alex Zanardi"	0.0832882
"Juli Inkster"	0.0831899
"Haile Gebrselassie"	0.0823648
"Marina Anissina"	0.0823558
"Jacques Villeneuve"	0.0821697
"Alexei Urmanov"	0.0819089
"Eddie Irvine"	0.0815755
Cipollini	0.0813162
Essen	0.0810136
"Tom Dolan"	0.0807189
"Tegla Loroupe"	0.080131
"Xia Xuanze"	0.0800876
"Li Ju"	0.079984
Karpov	0.0799244
Schumacher	0.0798607
Kjus	0.0797875
"Liu Guoliang"	0.07858
"Steffi Graf"	0.0784558
"VfB Stuttgart"	0.0782432
"Jimmy Vasser"	0.0777376
"Garry Kasparov"	0.0776586
"Koji Ito"	0.0770805
"Kenny Brack"	0.0768013
Boardman	0.0766155
"American Pete Sampras"	0.0765773
"Ma Lin"	0.0764887
"Ivan Pedroso"	0.0764763
"John Godina"	0.0764637
Jalabert	0.0764032
"Heryanto Arbi"	0.0763341
"Werder Bremen"	0.0762114
"Anatoly Karpov"	0.0760867
"Dong Jiong"	0.0759433
"Picabo Street"	0.075782
"Wang Hui"	0.075537
"David Coulthard"	0.0753916
"Vanessa Atler"	0.0749162
"Kong Linghui"	0.0748996
"Oksana Kazakova"	0.0747843
Rostock	0.0744562
McLaren-Mercedes	0.0743649
"Camilla Martin"	0.0740755
"Billy Boat"	0.0740315
"Chen Yan"	0.0738526
"Merlene Ottey"	0.0737809
Klim	0.0733554
"Blaine Wilson"	0.0732082
"Mark Williams"	0.0727548
"Fatuma Roba"	0.0723128
"Huang Xu"	0.0722157
"Cathy Freeman"	0.0717361
))
("Claudia Poll" (desc 1604.88) (sims
"Penny Heyns"	0.338743
"Liu Limin"	0.322572
"Brooke Bennett"	0.255997
"Susie O'Neill"	0.254753
"Denis Pankratov"	0.250989
"Sandra Voelker"	0.241215
"Kieren Perkins"	0.23947
"Tom Dolan"	0.237544
"Samantha Riley"	0.234
"Le Jingyi"	0.227896
"Svetlana Masterkova"	0.227085
"Lin Li"	0.225227
"Juan Antonio Marin"	0.223873
"Deon Hemmings"	0.223723
"Amy van Dyken"	0.223602
"Fatuma Roba"	0.219533
"Hiroyasu Shimizu"	0.216618
"Marie-Jose Perec"	0.21289
"Gary Hall"	0.207121
"Chen Lu"	0.204293
"Charles Austin"	0.197121
"Alexander Popov"	0.195581
"Noureddine Morceli"	0.19462
"Wu Yanyan"	0.192474
"Irina Privalova"	0.192159
"Maria Mutola"	0.192007
"Daniel Kowalski"	0.191582
"Chen Yan"	0.190229
"Elena Berezhnaya"	0.189619
"Deborah Compagnoni"	0.189598
"Allen Johnson"	0.187625
"Michael Klim"	0.183573
"Heike Drechsler"	0.179757
"Michael Von Gruenigen"	0.179211
"Wang Yifu"	0.177712
"Li Jiajun"	0.17749
"Michelle Smith"	0.174717
"Gunda Niemann-Stirnemann"	0.17396
"Inge de Bruijn"	0.172746
"Svetlana Khorkina"	0.172593
"Derrick Adkins"	0.171377
"Oksana Kazakova"	0.170513
"Moses Tanui"	0.170262
"Stacy Dragila"	0.170193
"Johan Museeuw"	0.169758
"Alexei Nemov"	0.167506
"Martina Moravcova"	0.167439
"Grant Hackett"	0.164891
"Ge Fei"	0.163996
"Thomas Stangassinger"	0.163948
"Wang Junxia"	0.163361
"Fu Mingxia"	0.162854
"Ian Thorpe"	0.162839
"Alexei Urmanov"	0.161342
"Donovan Bailey"	0.160649
"Chen Hua"	0.157442
"Linford Christie"	0.156696
"Dan O'Brien"	0.156665
"Fiona May"	0.155976
Zelezny	0.155661
"Jackie Joyner-Kersee"	0.153881
"Zoran Primorac"	0.152965
"Khalid Khannouchi"	0.152951
"Ricky Subagja"	0.152766
"Jenny Thompson"	0.152544
"Picabo Street"	0.150339
"Ivan Pedroso"	0.149975
"Michael Doohan"	0.149134
Hoogenband	0.149077
"Gianni Romme"	0.148014
"Lenny Krayzelburg"	0.147424
"Felix Savon"	0.14711
"Wilson Kipketer"	0.145996
"Gail Devers"	0.145785
"Katarina Witt"	0.145463
"Tegla Loroupe"	0.145342
Devers	0.144217
"Chris Boardman"	0.144199
"Anjelika Krylova"	0.143096
"Claudia Pechstein"	0.143087
"Hilde Gerg"	0.142651
"Paul Tergat"	0.142455
"Xiong Ni"	0.141882
"Randy Barnes"	0.141135
Shuwei	0.141022
"Cathy Freeman"	0.141014
"Sonia O'Sullivan"	0.140946
"Deng Yaping"	0.140847
"Oksana Baiul"	0.140721
"Liu Guoliang"	0.140274
"Haile Gebrselassie"	0.139684
"Jansher Khan"	0.139652
"Hicham El Guerrouj"	0.139026
"Alexei Yagudin"	0.138522
"Jeremy Wotherspoon"	0.137405
kayaker	0.137324
"Katja Seizinger"	0.137154
"Michael Johnson"	0.135496
"Rexy Mainaky"	0.135486
"John Godina"	0.134521
"Susi Susanti"	0.134323
"Alberto Tomba"	0.133898
"Maria Butyrskaya"	0.133745
"Bjarte Engen Vik"	0.132668
"Max Biaggi"	0.132436
"Gary Hall Jr."	0.132143
"Jean-Philippe Gatien"	0.131836
"Heryanto Arbi"	0.130978
"Blaine Wilson"	0.13008
"Tara Lipinski"	0.129908
"Liu Xuan"	0.129446
"Dong Jiong"	0.129398
"Elvis Stojko"	0.128386
"Yang Yang"	0.128249
Khorkina	0.128069
"Regina Jacobs"	0.126724
"Pernilla Wiberg"	0.124388
"Damon Hill"	0.124316
"Daniel Komen"	0.123983
"Chen Jing"	0.123767
"Maurice Greene"	0.122814
"Ivan Ivankov"	0.122527
"Yu Zhuocheng"	0.122485
"Javier Sotomayor"	0.122274
"Hermann Maier"	0.122023
"Sergei Bubka"	0.12143
"Li Xuemei"	0.120889
"American Pete Sampras"	0.120269
"Colin Jackson"	0.120191
Klim	0.12019
"Todd Eldredge"	0.120049
Kipketer	0.119928
Ottey	0.119915
"Jonathan Edwards"	0.119903
"Tommi Makinen"	0.119868
Sautin	0.119763
"Michelle Kwan"	0.119684
"Frankie Fredericks"	0.119061
"Jan-Ove Waldner"	0.118695
"Simona Amanar"	0.118654
"Renate Goetschl"	0.118421
"Lasse Kjus"	0.117917
"Mia Audina"	0.117879
"Rodney Eyles"	0.117518
Krayzelburg	0.117342
"Kong Linghui"	0.117242
"Gabriela Szabo"	0.116668
"Irina Slutskaya"	0.116078
"Wang Tao"	0.114973
"Martin Schmitt"	0.11496
"Buster Douglas"	0.114736
"Colin McRae"	0.114694
"David Reid"	0.114261
"Peter Rasmussen"	0.113387
"Dennis Mitchell"	0.113287
"Bernard Barmasai"	0.112929
"Ato Boldon"	0.111922
"Steve Backley"	0.111494
"Al Joyner"	0.111276
"Jearl Miles-Clark"	0.110639
Popov	0.110598
"Merlene Ottey"	0.109491
Susanti	0.108246
"Florence Griffith Joyner"	0.108206
"Anatoly Karpov"	0.107534
Doohan	0.106963
"Miguel Indurain"	0.106669
"Inger Miller"	0.106559
"Abraham Olano"	0.106319
"Garry Kasparov"	0.105168
titlists	0.104577
Morceli	0.104353
"Michele Bartoli"	0.103262
"Koji Ito"	0.103092
"Christine Arron"	0.102624
"Joko Suprianto"	0.101224
"Frank Bruno"	0.101079
"Kim Batten"	0.100138
"Marina Anissina"	0.0998393
"Marion Jones"	0.09961
Longo	0.0987267
"Peter Nicol"	0.0985168
"Shannon Miller"	0.0982026
Dosedel	0.0980071
"Jacques Villeneuve"	0.0978021
"Guo Jingjing"	0.0975716
"Jubilo Iwata"	0.0968683
"Roy Jones Jr."	0.0964926
Heyns	0.0963779
"Dominique Moceanu"	0.0961871
"C.J Hunter"	0.096057
"Gil Morgan"	0.0957863
"Ye Zhaoying"	0.0954657
"Jorgen Persson"	0.0952228
"Jeff King"	0.0952101
Sotomayor	0.0951227
"Taufik Hidayat"	0.0947213
"Matt Kuchar"	0.0946068
"Pavel Tonkov"	0.0943637
Yagudin	0.0941698
))
("Claudia Schiffer" (desc 1807.1) (sims
"Cindy Crawford"	0.214469
"Naomi Campbell"	0.178208
"Tyra Banks"	0.174289
"Kate Moss"	0.15266
"Elizabeth Hurley"	0.129108
"Matt Dillon"	0.109111
"Robert Downey Jr."	0.101824
"Janeane Garofalo"	0.086167
"Cameron Diaz"	0.084848
"Brooke Shields"	0.0667472
look-alikes	0.0654283
"Carmen Electra"	0.0634687
"Hank Azaria"	0.0622382
"Jenna Elfman"	0.060908
"Joseph Fiennes"	0.0595889
"William H. Macy"	0.058879
"Catherine Zeta-Jones"	0.0566002
"interior decorator"	0.0554176
"Michael Douglas"	0.0534064
"Catherine Deneuve"	0.0531343
"Frances McDormand"	0.0507578
"Dame Judi Dench"	0.0503452
"Farrah Fawcett"	0.0501598
"Calista Flockhart"	0.0498919
"Gwyneth Paltrow"	0.0496217
"Jessye Norman"	0.0474541
"Ben Affleck"	0.0468712
"Carol Burnett"	0.0467945
"Whoopi Goldberg"	0.045619
"Jennifer Lopez"	0.0453758
"belly dancer"	0.0452356
"Tracey Ullman"	0.0447038
"exotic dancer"	0.0445833
"Jennifer Love Hewitt"	0.0444374
"Dara Torres"	0.0440566
"Lauren Bacall"	0.0440322
Centerfold	0.0439626
"Leonardo DiCaprio"	0.0435757
"Natalie Cole"	0.0431665
"Arnold Schwarzenegger"	0.0429568
skyboxes	0.0424846
"Mariah Carey"	0.0418109
"Jude Law"	0.0414569
"Bob Costas"	0.0412527
Irina	0.041131
"William Shatner"	0.0405782
teahouse	0.0403343
"Tina Turner"	0.0402901
))
("Claudio Lopez" (desc 1297.15) (sims
"Hernan Crespo"	0.283848
"Ariel Ortega"	0.28037
"Adrian Ilie"	0.272842
"Dennis Bergkamp"	0.159824
"Christian Vieri"	0.154732
"Hao Haidong"	0.152966
"Tore Andre Flo"	0.151572
"George Weah"	0.15033
"Diego Simeone"	0.146341
"Gabriel Batistuta"	0.145282
"Predrag Mijatovic"	0.145198
"Davor Suker"	0.141624
"Raul Diaz Arce"	0.140668
"Ian Wright"	0.139408
"Stern John"	0.138926
"Ante Razov"	0.137522
"Khodadad Azizi"	0.130883
"Juergen Klinsmann"	0.124843
"Harry Kewell"	0.124343
"Marcelo Salas"	0.119742
"David Trezeguet"	0.119657
"Roy Lassiter"	0.119389
"Faustino Asprilla"	0.118293
Edmundo	0.11789
"Luis Figo"	0.116446
"Alan Shearer"	0.114919
"Pierluigi Casiraghi"	0.114102
"Teddy Sheringham"	0.113987
"Patrick Kluivert"	0.113139
"Hristo Stoichkov"	0.11236
"Alen Boksic"	0.111817
"Raul Gonzalez"	0.111415
"Stan Collymore"	0.111307
"Sun Wen"	0.110869
"Phillip Cocu"	0.109944
"Fabrizio Ravanelli"	0.109182
"Carlos Hermosillo"	0.107859
"Tiffeny Milbrett"	0.107745
"Brian McBride"	0.107501
"Paolo Di Canio"	0.107255
"Mario Stanic"	0.104866
"Alessandro Del Piero"	0.103858
"Oliver Bierhoff"	0.10343
"Ivan Zamorano"	0.102729
"Wang Tao"	0.102179
"Shannon MacMillan"	0.100339
"Enrico Chiesa"	0.099909
Welton	0.0997706
"Nicolas Anelka"	0.0996965
"Ali Daei"	0.0994872
"Diego Maradona"	0.0986105
"Eric Wynalda"	0.0979552
"Cindy Parlow"	0.0978981
"Christophe Dugarry"	0.097557
"Brian Laudrup"	0.0970801
"Nwankwo Kanu"	0.0951966
"Robbie Fowler"	0.0949419
"Ulf Kirsten"	0.094359
"Dejan Stankovic"	0.0938543
"Luis Hernandez"	0.0936082
"Thierry Henry"	0.0913441
"Hidetoshi Nakata"	0.0867571
"Gianfranco Zola"	0.0859827
"Clint Mathis"	0.0851013
"Joe-Max Moore"	0.0848879
"Clarence Seedorf"	0.0846682
"Marc Overmars"	0.084507
Bebeto	0.0839032
Anelka	0.0820082
"Hu Weidong"	0.080178
"Dejan Savicevic"	0.0795413
Vieri	0.0795121
"Robert Prosinecki"	0.0791262
Salas	0.0781697
"Andy Cole"	0.0777474
"Cobi Jones"	0.0774663
"Roberto Baggio"	0.0772774
"Fan Zhiyi"	0.0769706
"Ole Gunnar Solskjaer"	0.0769022
"Chris Drury"	0.0767465
"Gary Roberts"	0.076375
Hlavac	0.0759213
"Eric Cantona"	0.0750387
"Gianluca Vialli"	0.0748985
"Mia Hamm"	0.0744235
"Cliff Ronning"	0.0740333
"Mariano Zabaleta"	0.073909
"Boca Juniors"	0.07384
"Dwight Yorke"	0.0732247
"Kevin Freeman"	0.0727536
"Youri Djorkaeff"	0.0725372
"Pavol Demitra"	0.0723217
"Paul Scholes"	0.0722912
"Rodney Rogers"	0.0716852
"Jarvis Turner"	0.0715667
"Velez Sarsfield"	0.0715483
"Filippo Inzaghi"	0.0714395
Suker	0.0713287
"Michael Owen"	0.0712096
"Dixon Ward"	0.0706963
"Jamie Feick"	0.0700347
"Gabe Muoneke"	0.0696666
"Tamika Catchings"	0.0693293
"Brian Rolston"	0.0691717
"Real Sociedad"	0.0687188
"Matt Bullard"	0.0684697
Boer	0.0684599
Juninho	0.0681953
"Adam Deadmarsh"	0.0679188
Piero	0.067365
"Mark Williams"	0.0671363
Batistuta	0.0668838
Milbrett	0.0660619
"Steve McManaman"	0.0660042
Denilson	0.0658877
Rivaldo	0.0653256
Tella	0.0651148
Djorkaeff	0.0647539
"Jermaine O'Neal"	0.064403
"Mike Keane"	0.0640188
"Milan Hejduk"	0.0633964
"Tony Amonte"	0.062222
Baggio	0.0621595
Raul	0.0601427
"Austin Croshere"	0.0596289
"Ken Belanger"	0.0593038
"Alexei Kovalev"	0.0592411
"Brad Miller"	0.0591628
Bierhoff	0.0585539
LaPointe	0.058312
"Bobby Phills"	0.0578775
"Chris Carrawell"	0.0576835
"Paul Merson"	0.0574924
"Darren McCarty"	0.057321
"Michael Wright"	0.0572386
"Roy Keane"	0.0570818
Puerta	0.0568162
"Michael Redd"	0.0566369
"Wang Zhizhi"	0.0565209
"Lamond Murray"	0.0562145
"Mark Madsen"	0.0560404
"Mariano Puerta"	0.0559254
"Jeff Friesen"	0.0558903
"Derrick Coleman"	0.0557868
"Alexei Zhitnik"	0.0557784
Zuelle	0.0557633
"Jerome Kersey"	0.0557149
"Sam Clancy"	0.0551483
"Alan Henderson"	0.0548778
"River Plate"	0.0548598
"Glenn Robinson"	0.0548274
"Gheorghe Hagi"	0.0546673
"Rick Tocchet"	0.0546134
"Corliss Williamson"	0.0545705
"Grant Long"	0.0545575
"Luc Robitaille"	0.0545498
"Miroslav Satan"	0.0544123
Alfonso	0.0541612
"Chris Crawford"	0.0539218
"Chris Anstey"	0.0539206
"Juwan Howard"	0.0538123
"Michelle Akers"	0.0537717
"Othella Harrington"	0.0536871
"Sheryl Swoopes"	0.0535417
Sautin	0.053418
"Steve Heinze"	0.0532872
Khorkina	0.0532745
"Mike Sullivan"	0.0532443
"Carlos Menem"	0.0531413
"Ron Francis"	0.0531388
"Juha Ylonen"	0.0530729
Romario	0.0530128
"Anson Carter"	0.0530127
"Andrew Ilie"	0.0530101
Preki	0.0528777
"Mattias Norstrom"	0.0528692
"Emmanuel Petit"	0.0526902
Shearer	0.0524103
"Peter Bondra"	0.0522912
"Rintje Ritsma"	0.0518232
"Brendan Shanahan"	0.0517742
"Robert Jarni"	0.0516237
"Ryan Giggs"	0.0516151
"Li Na"	0.0514822
"Tyrone Nesby"	0.0514142
Moreau	0.051336
"Claudia Pechstein"	0.0512608
"George McCloud"	0.0511959
"Steve Thomas"	0.0511738
"Kenny Thomas"	0.0511193
Al-Jaber	0.051083
Collymore	0.0508653
"SCOTT BURRELL"	0.050755
"Tina Thompson"	0.0507427
"Theo Fleury"	0.0506336
"Brian Scalabrine"	0.050354
"Guo Jingjing"	0.0501881
"Cedric Ceballos"	0.0501083
Asprilla	0.0500902
"Samaki Walker"	0.0500866
))
("Claudio Reyna" (desc 2453.27) (sims
"Frankie Hejduk"	0.354876
"Tab Ramos"	0.28134
"Eddie Lewis"	0.270755
"John Harkes"	0.260174
"Brian McBride"	0.235179
"Gheorghe Hagi"	0.221433
"Cobi Jones"	0.210361
"Jeff Agoos"	0.201984
Reyna	0.19472
"Hidetoshi Nakata"	0.189617
"Joe-Max Moore"	0.17464
"Mike Burns"	0.167031
"Ben Olsen"	0.16283
"Alexi Lalas"	0.159235
"Eddie Pope"	0.153388
"Eric Wynalda"	0.151103
"Carlos Valderrama"	0.15064
Jair	0.148777
"Dejan Savicevic"	0.14839
"Marco Etcheverry"	0.142028
"Julie Foudy"	0.138946
"Robert Prosinecki"	0.138684
"Zvonimir Boban"	0.138285
"Mauricio Cienfuegos"	0.137487
"Brad Friedel"	0.135634
"Robin Fraser"	0.130776
"Kristine Lilly"	0.128804
"Dejan Stankovic"	0.128753
"Stern John"	0.127805
"Thomas Haessler"	0.125723
"Diego Simeone"	0.123836
"Edgar Davids"	0.123721
"Ariel Ortega"	0.122106
"Thomas Dooley"	0.120706
Sissi	0.12055
"Kasey Keller"	0.120259
Hagi	0.114211
"Robert Jarni"	0.111655
"Leonel Alvarez"	0.110855
"Clint Mathis"	0.109833
"Didier Deschamps"	0.109344
"Andreas Moeller"	0.107695
Harkes	0.105034
"Mario Stanic"	0.103322
"Emmanuel Petit"	0.103222
"Tiffeny Milbrett"	0.101821
"Zinedine Zidane"	0.101362
"Paul Ince"	0.0991813
"Michael Laudrup"	0.0946716
"Hu Weidong"	0.0943225
"Tony Meola"	0.0906884
"Paul Merson"	0.089764
Juninho	0.0886495
"Youri Djorkaeff"	0.0883989
"John Collins"	0.0873883
Rivaldo	0.0871052
"Michelle Akers"	0.0870649
Denilson	0.0868697
"Ante Razov"	0.0866439
"Sun Wen"	0.0858338
"David Beckham"	0.0853392
"Andy Williams"	0.0848114
Preki	0.0832946
"Cesar Sampaio"	0.0829532
Zidane	0.0825242
"Marcelo Balboa"	0.0822735
"Luigi Di Biagio"	0.0811316
"Lothar Matthaeus"	0.08103
"Mauricio Ramos"	0.0809926
"Carla Overbeck"	0.0792013
Emerson	0.0784995
"Robert Pires"	0.0776769
"Harry Kewell"	0.0770625
"Luis Figo"	0.0769171
Nakata	0.0761407
"Fan Zhiyi"	0.0758263
"Steve McManaman"	0.0757385
"Paul Gascoigne"	0.0752768
Leetch	0.0729978
"Predrag Mijatovic"	0.0718639
"Fernando Hierro"	0.0696931
Laudrup	0.0693683
"Blaine Wilson"	0.0688603
"Phillip Cocu"	0.0680262
"Hao Haidong"	0.0673581
Klinsmann	0.0671984
Giovanni	0.0669174
"Mia Hamm"	0.0666431
"Clarence Seedorf"	0.0661276
Valderrama	0.0656204
Bierhoff	0.0652872
DiCicco	0.064814
Beckenbauer	0.0646687
"Mike Bibby"	0.0642604
"Ulf Kirsten"	0.0639594
"Hristo Stoichkov"	0.0637988
Samuelsson	0.0635432
"Michael Weiss"	0.0631711
Cummings	0.062269
"Roy Keane"	0.0621982
"Paul Caligiuri"	0.0618704
"Dino Baggio"	0.0613217
Atler	0.0612006
Gascoigne	0.0611416
Akers	0.0610811
"Ian Wright"	0.0606102
Asprilla	0.0605138
COYNE	0.0599587
Holdsclaw	0.0598422
"Raul Diaz Arce"	0.059747
Dunga	0.0593581
Silas	0.059233
"Jorge Campos"	0.0589703
"Gianfranco Zola"	0.0587254
Leonardo	0.0585499
Mustafa	0.0585328
Baerga	0.0585322
Talebi	0.0583759
"Paul Pierce"	0.0583641
"Bela Karolyi"	0.0582858
"Bixente Lizarazu"	0.0581669
"Ronald de Boer"	0.0580397
"Roy Lassiter"	0.0578188
Croshere	0.0573932
Finkel	0.0573421
"Darrick Martin"	0.0571454
Bergkamp	0.0567451
"Paul Scholes"	0.0566922
Amor	0.0566433
Donato	0.0564831
"Stan Collymore"	0.0564614
"Michael Finley"	0.0563634
Tanui	0.0563578
"Patrick Kluivert"	0.05617
Newcombe	0.0561443
Vidro	0.0559956
"Dan Petrescu"	0.055887
"David Wesley"	0.0556742
"Alec Stewart"	0.0554518
"Enrico Chiesa"	0.0551655
Hybl	0.0549373
Setzer	0.0548927
"Khodadad Azizi"	0.0545581
"Hansie Cronje"	0.0542603
Hoch	0.0539904
infantrymen	0.0537881
"Alan Shearer"	0.0536277
Gauthier	0.0535824
"Guy Carbonneau"	0.0534337
"Christian Karembeu"	0.0533059
"Patrick Vieira"	0.0532765
Elie	0.0532717
"Sherman Douglas"	0.0530155
Zwick	0.0529406
Rolen	0.0528765
Lieberthal	0.0528549
"Juergen Klinsmann"	0.0528511
"Joy Fawcett"	0.0527228
Vinatieri	0.0522568
Rollins	0.0519671
Iglesias	0.0518621
Moakley	0.051729
D'Alessandro	0.0516738
"Steve Nash"	0.0515568
"Van Roost"	0.0514
"Luis Hernandez"	0.0510995
"Nicolas Anelka"	0.0510944
Kerr	0.050814
Yzerman	0.0507782
Loretta	0.0507643
Savarese	0.0507541
Gilmour	0.050259
estes	0.050223
Deutsch	0.050117
Edmundo	0.0500788
McInnis	0.0500702
"A.C. Green"	0.0500664
"Vanessa Atler"	0.0500503
Djorkaeff	0.0500021
Hatcher	0.0499233
Easley	0.0497637
Beckham	0.0497424
Hejduk	0.0495907
Carbonneau	0.0495877
Lindros	0.0495644
"Chris Porter"	0.0495371
Welton	0.0494375
Ortega	0.0494325
Durant	0.0493586
Cowan	0.0491873
Robson	0.048786
"Avery Johnson"	0.0487535
Mashburn	0.0486541
Meyers	0.0485692
"Wang Zhizhi"	0.0485505
Zico	0.0485226
"Lou Merloni"	0.0484415
"Joe Nieuwendyk"	0.0483737
Schmid	0.048299
"Jennifer Gillom"	0.0481164
))
(Claudius (desc 1716.74) (sims
Gertrude	0.0823387
"Ethan Hawke"	0.0697961
Mortimer	0.0552834
Clapton	0.0504946
"wing commander"	0.0504506
"white person"	0.0458414
"Sigourney Weaver"	0.0449941
"Dirty Dancing"	0.0416001
Teresi	0.041114
"Adam Petty"	0.0405161
))
(clause (desc 42096.9) (sims
provision	0.225276
Ordinance	0.128814
amendment	0.12715
statute	0.125198
stipulation	0.124397
wording	0.112317
law	0.111569
requirement	0.10911
regulation	0.108321
restriction	0.107597
decree	0.107161
guideline	0.103984
rule	0.099472
Treaty	0.0993171
charter	0.0989022
covenant	0.0977535
legislation	0.0969277
agreement	0.0967099
guarantee	0.0965185
prohibition	0.0960326
"Article @@"	0.0944301
constitution	0.0943949
pact	0.0930887
exemption	0.0919361
language	0.0912714
paragraph	0.0887323
"Article @@@"	0.0880851
policy	0.0871429
code	0.0868715
revision	0.0866587
contract	0.0866047
principle	0.086453
"Article @"	0.0862917
ban	0.0857042
resolution	0.085592
"First Amendment"	0.0853017
protocol	0.0841653
doctrine	0.0836728
privilege	0.0832947
proposal	0.0827504
article	0.0821883
measure	0.0812481
procedure	0.0805633
arrangement	0.0800305
limit	0.0786132
directive	0.0784488
immunity	0.0775211
interpretation	0.076651
obligation	0.0761398
incentive	0.0749953
protection	0.0749545
bill	0.0744776
"attorney-client privilege"	0.0743825
safeguard	0.0739624
Formula	0.0734305
"ABM Treaty"	0.0734102
"tax break"	0.0731278
loophole	0.0730362
standard	0.0728868
quota	0.0728263
"U.S. Constitution"	0.0727959
accord	0.0726452
definition	0.0724843
criteria	0.0721641
moratorium	0.0711201
framer	0.070946
"code of conduct"	0.0706362
mandate	0.0700805
ruling	0.0700032
concession	0.0699559
bonus	0.0698815
"Fourth Amendment"	0.0698705
injunction	0.0695787
timetable	0.0694678
Ada	0.0688611
mechanism	0.0681261
Declaration	0.0678939
decision	0.0677924
extension	0.0675908
"Title IX"	0.0672435
option	0.0670872
passage	0.0670099
bylaw	0.0669147
"Anti-Ballistic Missile Treaty"	0.066846
framework	0.0665182
"Bill of Rights"	0.0664268
"antitrust law"	0.0662973
waiver	0.0659929
"Geneva convention"	0.0657938
modification	0.0653986
deal	0.0652882
"Clean Air Act"	0.0649295
document	0.0649076
Limitation	0.0646171
"Voting Rights Act"	0.0645442
"Basic Law"	0.0643629
act	0.0638973
"criminal law"	0.0638026
"Section @"	0.0635964
memorandum	0.0635756
"quota system"	0.0631743
sentence	0.0630053
"Helms-Burton Act"	0.062789
status	0.0627092
package	0.0625739
sanction	0.0623659
"basic principle"	0.062213
designation	0.0621064
recommendation	0.0620786
"Endangered Species Act"	0.0620357
draft	0.0618995
initiative	0.0618855
preamble	0.0618635
text	0.0618264
permit	0.0604706
settlement	0.0602151
scheme	0.0602103
tariff	0.0601964
pledge	0.0599945
reform	0.0599118
"poison pill"	0.0598794
concept	0.0598644
"employment contract"	0.0597214
commitment	0.0595805
precedent	0.0594146
"right to privacy"	0.059329
proclamation	0.0591609
term	0.0586723
"Sino-British Joint Declaration"	0.0584235
edict	0.0581389
norm	0.0581003
fee	0.0571602
"time limit"	0.0571336
"Resolution @@@"	0.0571266
payment	0.0570699
subsidy	0.0570093
amnesty	0.0569337
"international law"	0.0569243
cease-fire	0.0564694
penalty	0.056389
"pay raise"	0.0563752
"Second Amendment"	0.0562851
patent	0.0561276
phrase	0.0558132
action	0.0557531
objective	0.0557464
referendum	0.0557107
veto	0.0556679
consideration	0.0552593
tax	0.0552208
freedom	0.0551425
strategy	0.0549468
aspect	0.0544499
funding	0.0543878
constraint	0.0541956
"abortion law"	0.0540997
embargo	0.0540849
parameter	0.0539236
"salary cap"	0.0533338
flaw	0.0532672
element	0.0531937
proposition	0.0531727
"wage increase"	0.0530967
method	0.0530036
Implementation	0.0529783
autonomy	0.0529106
"United Nations Charter"	0.0528344
lease	0.0523967
"trade agreement"	0.0520931
"counsel law"	0.0520301
punishment	0.0519896
compromise	0.0518985
"human right"	0.0518017
plank	0.0517199
structure	0.0515809
detail	0.051428
"U.N. Charter"	0.0513244
enforcement	0.0513168
"insurance policy"	0.0512553
deduction	0.051229
ratification	0.051193
adjustment	0.0511077
statement	0.0509902
communique	0.0508139
section	0.0504851
cap	0.0501763
adoption	0.0501151
application	0.0498503
separation	0.0497123
"tax cut"	0.0496707
"labor agreement"	0.0496304
specification	0.049623
reduction	0.0496185
"death penalty"	0.0495833
judgment	0.049356
annulment	0.0493066
violation	0.0492196
renewal	0.0492067
license	0.0491884
approval	0.0490857
))
(Clavet (desc 1415.37) (sims
Berasategui	0.321687
Puerta	0.226352
"Alberto Berasategui"	0.213257
Dragomir	0.209157
Bruguera	0.204112
"Albert Portas"	0.203066
Halard-Decugis	0.202227
"Francisco Clavet"	0.200139
"American Chanda Rubin"	0.195342
Testud	0.194455
"Mariano Puerta"	0.191196
Mantilla	0.190461
Stoltenberg	0.190272
Dosedel	0.188507
Gustafsson	0.183633
Spadea	0.181595
Mauresmo	0.180901
Enqvist	0.179909
"Anke Huber"	0.176902
"Felix Mantilla"	0.174246
Corretja	0.17298
"Albert Costa"	0.172547
Sanchez-Vicario	0.171541
Ivanisevic	0.170761
"Paul Goldstein"	0.170083
Damm	0.169878
Kiefer	0.169649
"Mariano Zabaleta"	0.169343
Raoux	0.168278
Schett	0.168044
Ferreira	0.166623
"Carlos Costa"	0.166256
Bjorkman	0.163524
Kafelnikov	0.162805
Santoro	0.162069
Huber	0.161586
"Vincent Spadea"	0.160313
Prinosil	0.160083
Rusedski	0.160038
"Van Roost"	0.159817
Ulihrach	0.159564
Coetzer	0.159533
"Joannette Kruger"	0.159294
Pioline	0.158982
"Carlos Moya"	0.158575
"Richey Reneberg"	0.158079
Edberg	0.156483
Tarango	0.156326
"Thomas Enqvist"	0.155763
"Magnus Norman"	0.155715
"Russian Yevgeny Kafelnikov"	0.15568
Henman	0.154544
Gambill	0.154153
"Alberto Costa"	0.153521
"Amy Frazier"	0.153155
Likhovtseva	0.152876
Schalken	0.152544
"Arantxa Sanchez-Vicario"	0.151808
Siemerink	0.151198
"Steve Campbell"	0.150325
"Sarah Pitkowski"	0.149845
"Javier Sanchez"	0.148958
"Jason Stoltenberg"	0.148799
Moya	0.148503
rios	0.146783
Tauziat	0.146716
"American Lindsay Davenport"	0.146025
"Mary Joe Fernandez"	0.145935
Swardt	0.143641
"Barbara Paulus"	0.142546
Pavel	0.141861
Sugiyama	0.141364
"Alex Corretja"	0.140711
"Nathalie Dechy"	0.140667
Schnyder	0.139456
"Marat Safin"	0.13885
"Todd Woodbridge"	0.138749
"Sergi Bruguera"	0.138739
"Barbara Schett"	0.138498
"Juan Antonio Marin"	0.137869
Kucera	0.137612
"American Michael Chang"	0.136737
"Andrei Pavel"	0.136574
"Cedric Pioline"	0.136566
Haarhuis	0.136556
"Brenda Schultz-McCarthy"	0.13646
Sidot	0.135568
Kuerten	0.135521
Lucic	0.135266
"Tim Henman"	0.13487
Zvereva	0.134736
"Arnaud Boetsch"	0.134533
"Michael Chang"	0.134139
"Arantxa Sanchez Vicario"	0.133725
"Gustavo Kuerten"	0.133423
Safin	0.133258
"Mary Pierce"	0.133041
Majoli	0.13214
"Dominique Van Roost"	0.132093
"Australian Mark Philippoussis"	0.132083
Lareau	0.131581
"Goran Ivanisevic"	0.131508
"Li Fang"	0.131464
"Hernan Gumy"	0.131429
"Fernando Meligeni"	0.131025
Medvedev	0.130024
"Lisa Raymond"	0.130002
"Scott Draper"	0.12931
Vacek	0.129287
"Richard Krajicek"	0.129198
Arazi	0.128895
"Thomas Muster"	0.12869
"Judith Wiesner"	0.128317
"Arnaud Di Pasquale"	0.127707
"Lleyton Hewitt"	0.127513
"Sebastien Grosjean"	0.126177
"Jan-Michael Gambill"	0.12555
Lapentti	0.125214
"Alex O'Brien"	0.125044
"Silvia Farina"	0.124072
"Wayne Ferreira"	0.12372
"Galo Blanco"	0.123616
Farina	0.123598
"Conchita Martinez"	0.123216
"Mark Philippoussis"	0.122894
"Julie Halard-Decugis"	0.122398
"Mark Woodforde"	0.120954
"Arnaud Clement"	0.120874
Seles	0.120834
Korda	0.120718
"Nathalie Tauziat"	0.120663
"Elena Likhovtseva"	0.120473
"Gianluca Pozzi"	0.120215
"American Andre Agassi"	0.120124
"Jonas Bjorkman"	0.119862
"Dominik Hrbaty"	0.11976
"Andrew Ilie"	0.119549
"Magdalena Maleeva"	0.119537
"Daniel Nestor"	0.119258
"Sabine Appelmans"	0.119133
"South African Amanda Coetzer"	0.119132
"Patty Schnyder"	0.119073
Novotna	0.119019
"Hicham Arazi"	0.118643
Spirlea	0.118354
"Nicolas Escude"	0.117913
"Natasha Zvereva"	0.117518
"Marcelo Rios"	0.117481
"Nicolas Kiefer"	0.117396
"Marc Rosset"	0.117136
"Magnus Gustafsson"	0.116939
"Ramon Delgado"	0.116885
"Kenneth Carlsen"	0.116834
"Mark Knowles"	0.116775
Gremio	0.116156
"Andrei Medvedev"	0.115913
"MaliVai Washington"	0.115583
Ilie	0.115245
"Younes El Aynaoui"	0.115175
"Irina Spirlea"	0.115075
"Juan Carlos Ferrero"	0.11507
"Monica Seles"	0.114854
"Iva Majoli"	0.114778
"Leander Paes"	0.114531
"Chris Woodruff"	0.114343
Nicol	0.114281
"Todd Martin"	0.114232
Kroslak	0.11406
"Sanchez Vicario"	0.113951
"Corina Morariu"	0.113951
Gimelstob	0.113911
"Chanda Rubin"	0.113745
"Jiri Novak"	0.113476
"Venus Williams"	0.113166
"Briton Greg Rusedski"	0.113088
Costa	0.112525
"Fabrice Santoro"	0.112401
"Greg Rusedski"	0.112251
"Naoko Sawamatsu"	0.112099
"Camilla Martin"	0.110837
"Jennifer Capriati"	0.110663
"Alan Embree"	0.109991
Susanti	0.109464
"Anne Kremer"	0.109044
Larsson	0.10871
"Thomas Johansson"	0.108547
"Davide Sanguinetti"	0.108497
"Ai Sugiyama"	0.10787
Haas	0.107868
"Christian Ruud"	0.107154
"Boris Becker"	0.107135
Woodforde	0.107011
"Amelie Mauresmo"	0.106847
"Jacco Eltingh"	0.106597
"Zhang Ning"	0.106261
Krajicek	0.105909
"Jana Novotna"	0.105835
"Paul Haarhuis"	0.105805
Rosset	0.105544
Capriati	0.105398
Jansher	0.105374
"Stefan Edberg"	0.104663
"Jim Courier"	0.104646
"Byron Black"	0.10447
"Julian Alonso"	0.104136
Woodbridge	0.10397
"Patrick Rafter"	0.103842
"American Pete Sampras"	0.10365
"Gong Zhichao"	0.103205
Gaudenzi	0.103194
"Sandrine Testud"	0.103075
Kournikova	0.102736
Po	0.102463
Johansson	0.102439
"Florencia Labat"	0.102378
Kremer	0.102238
Hrbaty	0.102149
"Petr Korda"	0.10179
"Asa Carlsson"	0.101757
Olympiakos	0.101536
Chang	0.101471
"Guillaume Raoux"	0.101199
"Jansher Khan"	0.100855
"Filip Dewulf"	0.100789
Arthurs	0.100741
Frenchwoman	0.100393
"Jonathan Stark"	0.100304
"Jeff Tarango"	0.100272
"Roger Federer"	0.100201
"Peter Gade Christensen"	0.100034
))
(claw (desc 9943.25) (sims
snout	0.127191
beak	0.115395
paw	0.10575
teeth	0.0890779
feather	0.0799429
tail	0.0788368
jaw	0.0674914
skull	0.0671114
torso	0.0642445
bone	0.0629509
fingernail	0.0619211
tongue	0.0618906
nail	0.0599594
finger	0.0598189
fossil	0.0590439
tusk	0.0572038
fist	0.0571904
skeleton	0.0569842
wingspan	0.0567298
cleat	0.0566343
tentacle	0.0559939
"raw meat"	0.0559009
appendage	0.055863
rib	0.0553194
"two hands"	0.0552203
bruise	0.0546565
knife	0.0545352
Tooth	0.0536331
antennae	0.053273
innards	0.0529749
lip	0.0523492
ear	0.0522482
prosthesis	0.0520237
gum	0.0518562
neck	0.051743
toe	0.0515551
nose	0.050693
lobster	0.0503182
Fang	0.0498073
drumstick	0.0496624
blade	0.0495089
limb	0.0486432
plumage	0.0483705
blister	0.0481815
belly	0.0475499
jaws	0.0475434
buttock	0.0474212
crab	0.0472711
footprint	0.0472557
Horn	0.0472167
braid	0.0471716
propeller	0.0468434
forearm	0.0467323
mitten	0.0463149
hoof	0.0458341
mallet	0.0453051
lump	0.0452539
scar	0.0448934
"gray whale"	0.044848
"hole in the ground"	0.0447334
"leg bone"	0.0443282
fur	0.0442039
scab	0.0440516
breast	0.0439933
"one foot"	0.0438389
pencil	0.0435806
vertebrae	0.0433486
abrasion	0.043324
knuckle	0.0432435
welt	0.0431801
carcass	0.0430261
chest	0.0427779
bayonet	0.0427524
pelvis	0.0426992
plume	0.0426925
stomach	0.0426264
tarpon	0.0424922
shovel	0.0422775
cheekbone	0.0422521
musket	0.0413875
tails	0.0413539
"hunting knife"	0.041295
eyelash	0.0412804
"little hand"	0.0412714
spine	0.0410434
flipper	0.0410156
fins	0.0409154
tress	0.0407977
oar	0.0407609
feces	0.0404943
molar	0.0400388
))
(clay (desc 34764.2) (sims
"red clay"	0.128758
plaster	0.109292
gravel	0.106626
"terra cotta"	0.106477
grass	0.101934
sand	0.101429
Concrete	0.0993107
dirt	0.094205
limestone	0.0932313
mud	0.0905643
brick	0.0896341
soil	0.0891956
granite	0.0858159
marble	0.0857592
plastic	0.0843989
cement	0.0832569
porcelain	0.0782503
Pottery	0.0775446
asphalt	0.0773404
glass	0.0765179
aluminum	0.0763382
hardcourts	0.0754877
wood	0.0751156
stone	0.0740025
wax	0.0731911
metal	0.0723283
silt	0.0695165
paint	0.0692183
"ATP Tour"	0.0687879
ICE	0.0685123
tile	0.0683702
earthenware	0.0664246
stucco	0.0654111
fiberglass	0.0638645
foam	0.0628265
rock	0.0626217
sandstone	0.0621671
vinyl	0.061565
rubber	0.0614064
"stainless steel"	0.0608597
enamel	0.0604173
dust	0.0601318
stoneware	0.0599853
surface	0.0591906
steel	0.0591151
lacquer	0.0588203
pigment	0.0581866
turf	0.0576758
cardboard	0.0575816
earth	0.05746
fabric	0.0565797
"LPGA Tour"	0.0564961
compost	0.0564577
"WTA Tour"	0.0561693
lumber	0.0560649
"PGA Tour"	0.0551858
crystal	0.0551755
carpet	0.0551172
Copper	0.0548668
Coal	0.0545159
timber	0.0544646
resin	0.0539682
ceramic	0.0534805
jade	0.0532047
iron	0.0523742
soot	0.0520561
pebble	0.0518637
snow	0.0517117
bamboo	0.0511556
sod	0.05109
titanium	0.050927
leather	0.0506884
muck	0.0504957
seaweed	0.0504434
hair	0.0502687
charcoal	0.0501639
ink	0.0501469
sawdust	0.0497501
debris	0.0496826
dough	0.0492052
leaf	0.0491926
cloth	0.0488403
Tin	0.048836
vegetation	0.0485477
Straw	0.0480437
cotton	0.047973
silk	0.0479136
paper	0.0478254
dung	0.0477648
ash	0.047586
sediment	0.047032
ivory	0.0468377
bark	0.0467872
wool	0.0465253
latex	0.0464525
crayon	0.0462683
flesh	0.046102
canvas	0.0460893
fiber	0.0459315
Plywood	0.0458875
flower	0.0453811
hay	0.0453244
powder	0.045308
rubble	0.0451458
ore	0.0449889
skin	0.0446302
Oak	0.0445987
mulch	0.0445237
gold	0.0442226
pavement	0.0440847
Garbage	0.0439833
goo	0.0436955
sandbag	0.043599
diamond	0.0434522
insulation	0.0434493
stain	0.0433339
silicon	0.0428831
lawn	0.0426855
glue	0.0426389
hardwood	0.0425703
mineral	0.042508
"iron ore"	0.042467
brass	0.0424117
carpeting	0.0422707
protein	0.0422604
ATP	0.04214
berry	0.0419357
bread	0.0419266
fertilizer	0.0418982
pipe	0.0418559
shrub	0.0418382
shingle	0.0416225
fruit	0.0415537
Boulder	0.0413807
blanket	0.0412391
asbestos	0.0410527
foil	0.0410304
bronze	0.0407858
coral	0.040761
vegetable	0.0406995
pine	0.0406952
brush	0.0406771
blood	0.0406682
vermiculite	0.0404135
lava	0.0403368
weed	0.0402981
egg	0.0401314
pot	0.0401013
manure	0.0400794
))
("Clay Bellinger" (desc 1585.76) (sims
"Luis Sojo"	0.265025
"Enrique Wilson"	0.200199
"Shane Spencer"	0.196431
"Wilton Veras"	0.192788
"Russ Johnson"	0.190613
"Damian Jackson"	0.190459
"Scott Brosius"	0.189259
"Tim Raines"	0.181212
"Chad Curtis"	0.179404
"Alfonso Soriano"	0.178535
"Mark Loretta"	0.178007
"Charlie Hayes"	0.17747
"Bill Spiers"	0.176389
"Daryle Ward"	0.174494
"Kurt Abbott"	0.167908
"Jorge Posada"	0.166715
"Bernie Williams"	0.165805
"Raul Ibanez"	0.165534
"Paul O'Neill"	0.16281
"Luis Polonia"	0.162239
"Jeff Huson"	0.162096
"Tino Martinez"	0.16209
"Carlos Guillen"	0.162045
"Joe Girardi"	0.161295
"Jose Hernandez"	0.161179
"Bobby Smith"	0.160299
"Craig Paquette"	0.160247
"Pat Burrell"	0.160167
"Dave Hansen"	0.159589
"Herbert Perry"	0.159283
"Chuck Knoblauch"	0.157712
"Mike Lowell"	0.157091
"Ricky Ledee"	0.152375
"Jeff Cirillo"	0.151139
"Lou Merloni"	0.150909
"Melvin Mora"	0.150183
"Chili Davis"	0.147749
"Dave Hollins"	0.147227
"Pokey Reese"	0.146916
"Frank Catalanotto"	0.146723
"Homer Bush"	0.144568
"Sean Berry"	0.143435
"Carlos Febles"	0.142226
"Mike Caruso"	0.140246
"Tim Bogar"	0.139347
"Manny Alexander"	0.138568
"Juan Castro"	0.137407
"Terrence Long"	0.136841
"Joe Randa"	0.136239
"Ron Coomer"	0.13613
"Rafael Furcal"	0.136049
"Alex Cora"	0.135906
Brosius	0.135846
"Richie Sexson"	0.135738
"David Dellucci"	0.135678
"Kevin Orie"	0.135619
"Derek Jeter"	0.135547
"Luis Lopez"	0.134901
"Bruce Aven"	0.13443
"Bill Mueller"	0.134267
"Paul Konerko"	0.134144
"Donnie Sadler"	0.134012
"Luis Alicea"	0.13393
"David Bell"	0.133667
"Jose Valentin"	0.132919
"Matt Franco"	0.132835
"Erubiel Durazo"	0.132699
"Derrek Lee"	0.132459
"Cristian Guzman"	0.13192
"Pat Meares"	0.13176
"John Mabry"	0.131671
"Chris Gomez"	0.131211
"Eric Owens"	0.130833
"Lenny Harris"	0.129504
"Andy Sheets"	0.127488
"Carlos Beltran"	0.127107
"Randall Simon"	0.124511
"Willie Greene"	0.124287
"Jeff Conine"	0.124138
"Jose Vizcaino"	0.12339
"Glenallen Hill"	0.121442
"Benji Gil"	0.121118
"Shawon Dunston"	0.120879
"Ricky Gutierrez"	0.120831
"Shane Andrews"	0.119137
"Andy Fox"	0.118692
"Kevin Young"	0.117537
"Cecil Fielder"	0.117435
"Bobby Abreu"	0.116193
"Royce Clayton"	0.115892
"Matt Lawton"	0.115766
"Eric Chavez"	0.115197
"Mike Lamb"	0.115128
"Corey Koskie"	0.114709
"Ramiro Mendoza"	0.114603
"Tony Batista"	0.11303
"Mike Simms"	0.112727
"Jeff Nelson"	0.110737
"Ben Grieve"	0.110718
"Warren Morris"	0.109647
"Carlos Lee"	0.109172
"Jeremy Giambi"	0.108723
"Luis Castillo"	0.108677
"Quinton McCracken"	0.108564
"Brian Hunter"	0.108288
"Mark Kotsay"	0.108118
"Darryl Strawberry"	0.108015
"Deivi Cruz"	0.107944
"Travis Fryman"	0.107718
"Jason McDonald"	0.107672
"Ozzie Guillen"	0.107051
"Barry Larkin"	0.107033
"Roberto Kelly"	0.106854
"Brad Fullmer"	0.106848
Rolen	0.106175
"Geoff Jenkins"	0.105607
"Travis Lee"	0.10557
Jeter	0.105487
"Mike Benjamin"	0.104486
"John Vander Wal"	0.104297
"David Ortiz"	0.10407
DeShields	0.103943
Vidro	0.103813
"Lee Stevens"	0.103583
"Omar Vizquel"	0.103263
"Wilton Guerrero"	0.102968
"F.P Santangelo"	0.102623
"Greg Colbrunn"	0.102511
"Marvin Benard"	0.102352
"Keith Lockhart"	0.101096
"J.D Drew"	0.101051
"Mark Grace"	0.101
"Tony Fernandez"	0.100654
"Kevin Jordan"	0.10063
"Neifi Perez"	0.100046
"Edgar Renteria"	0.0997329
"Mike Sweeney"	0.099707
"Marquis Grissom"	0.0995788
"Wil Cordero"	0.0995273
"Johnny Damon"	0.0992533
"Fernando Vina"	0.099003
"Lance Johnson"	0.098682
Catalanotto	0.0979595
"John Jaha"	0.0979471
"Bubba Trammell"	0.0975101
"Juan Encarnacion"	0.097293
"Adrian Beltre"	0.0969336
"Todd Walker"	0.0967697
"Miguel Tejada"	0.0965509
"Troy Glaus"	0.0964427
"Tony Womack"	0.0961918
"Walt Weiss"	0.0961387
Alicea	0.0959035
"Miguel Cairo"	0.0954095
"Desi Relaford"	0.0951035
"Matt Luke"	0.0942552
"Scott Rolen"	0.093475
"Bengie Molina"	0.0934687
"Joe McEwing"	0.0933901
Glaus	0.0933747
"Richard Hidalgo"	0.093055
"Steve Finley"	0.0930154
"Jim Leyritz"	0.0929775
"Phil Nevin"	0.0924786
Bordick	0.0923733
"Alex Gonzalez"	0.0921993
"Todd Zeile"	0.0918619
"Rich Aurilia"	0.0917568
"Eric Davis"	0.0917221
"Magglio Ordonez"	0.0916476
Renteria	0.0916078
"Jason Kendall"	0.0908118
"Russ Davis"	0.0905432
"Karim Garcia"	0.0896238
"Jeff Bagwell"	0.0894823
"Brian Daubach"	0.0890213
"Kevin Elster"	0.0885281
"Jose Guillen"	0.0882209
"Scott Spiezio"	0.0882106
"J.T Snow"	0.0873851
"Joe Carter"	0.0871521
"Randy Velarde"	0.0869224
"Jeff Frye"	0.0868522
Dunston	0.086731
Ledee	0.0860292
"Todd Helton"	0.0858423
"Rico Brogna"	0.0857682
"Bobby Higginson"	0.0853902
"Reggie Sanders"	0.085352
"Fred McGriff"	0.0852445
"Jeffrey Hammonds"	0.0850627
"Rey Sanchez"	0.084995
Glanville	0.0849203
Fullmer	0.0848024
"Ray Durham"	0.0846057
"Gerald Williams"	0.083795
"Jose Offerman"	0.0837507
"Brian Giles"	0.0835797
Knoblauch	0.0833165
"Kevin Stocker"	0.0830892
))
(Clayton (desc 8173.92) (sims
"Royce Clayton"	0.160599
Vidro	0.137934
"Rusty Greer"	0.124211
Alicea	0.12402
Zeile	0.119502
Palmeiro	0.118855
Segui	0.116967
Rolen	0.115474
Greer	0.110713
Cirillo	0.110706
McLemore	0.110647
Bordick	0.108164
Dunston	0.107524
"Ivan Rodriguez"	0.104749
Alomar	0.104306
Kapler	0.103469
Brosius	0.103339
Ordonez	0.103338
Ledee	0.102084
"Todd Zeile"	0.100785
"Damian Jackson"	0.0996191
Klesko	0.0986034
Gwinnett	0.0981991
Fullmer	0.0968729
"Will Clark"	0.0959205
Valentin	0.0959035
Cordero	0.0956359
Fulton	0.0954132
Alfonzo	0.0952723
Velarde	0.094483
Beltran	0.0941486
Spiers	0.0931781
Cameron	0.092955
Glaus	0.0929334
"Gabe Kapler"	0.092786
Olerud	0.0927126
"Barry Larkin"	0.0920209
Rodriguez	0.0917148
Nevin	0.0914279
Knoblauch	0.0909975
"Matt Lawton"	0.0903331
Surhoff	0.0901261
"Rafael Palmeiro"	0.090051
Caminiti	0.0898832
Hollandsworth	0.0893707
Cedeno	0.0889602
Burks	0.0886463
Jeter	0.0885646
Lieberthal	0.088476
Baerga	0.0880693
Grudzielanek	0.0876552
"Mark Loretta"	0.0873555
"Eric Karros"	0.0871605
Gonzalez	0.0871183
"Ruben Mateo"	0.0868486
"Jay Bell"	0.0867616
"Mark Grudzielanek"	0.0866098
Fryman	0.0861323
Erstad	0.0858244
"Robin Ventura"	0.085813
Lankford	0.0857022
Renteria	0.0854766
"Marvin Benard"	0.0854641
Garciaparra	0.0848968
"Scott Brosius"	0.0847799
Piazza	0.0847047
"Edgardo Alfonzo"	0.0844492
Womack	0.0843888
"Damian Miller"	0.0839289
Beltre	0.0839247
Mateo	0.0839089
Hollins	0.0834422
Biggio	0.0834073
Vaughn	0.0833837
Elster	0.0833233
Guillen	0.0828136
Gwynn	0.0825604
"Lee Stevens"	0.0822525
Lofton	0.0819018
"Tony Womack"	0.0817837
Sexson	0.0814681
"John Vander Wal"	0.0813961
"Frank Catalanotto"	0.0813375
"Luis Alicea"	0.0811352
Aurilia	0.0810453
"Jose Valentin"	0.081039
Tejada	0.0806269
Spencer	0.0803588
Higginson	0.080288
Catalanotto	0.080076
"Joe McEwing"	0.0799655
Mabry	0.0799398
Canseco	0.0799127
"Vladimir Guerrero"	0.0796565
"Troy Glaus"	0.0795195
Bautista	0.079506
"Benny Agbayani"	0.0794136
"Kevin Elster"	0.0793235
Giambi	0.0790008
"Rickey Henderson"	0.0788333
"Juan Gonzalez"	0.0787316
Varitek	0.0787064
McGriff	0.0786893
Karros	0.0786539
Ramirez	0.0786338
Delgado	0.0785943
"Alex Rodriguez"	0.0785332
"Scott Spiezio"	0.0784756
Gant	0.0779884
Boone	0.0779629
Bagwell	0.0778142
"Pat Meares"	0.0777624
McCarty	0.0777314
"John Olerud"	0.0776523
"Mike Cameron"	0.0776312
"Tino Martinez"	0.077611
Mora	0.0772182
"Jose Vidro"	0.0769015
Alou	0.0766353
Hatteberg	0.0763239
"Jorge Posada"	0.0762786
"Craig Counsell"	0.076263
Helton	0.0760948
"Deivi Cruz"	0.0756543
"Joe Girardi"	0.0753285
Kent	0.0752573
"Matt Williams"	0.0749743
Ripken	0.0748937
Cabrera	0.0748127
"Gerald Williams"	0.0747195
"Bill Spiers"	0.0746314
DiSarcina	0.0743981
"Rich Aurilia"	0.0743837
Perez	0.0742538
Daubach	0.0742344
Larkin	0.0741566
"Chipper Jones"	0.0738122
"Tom Goodwin"	0.0738087
Boyd	0.073727
"Ruben Rivera"	0.073704
Vizquel	0.0736735
"Fred McGriff"	0.0734721
"Jose Hernandez"	0.0731085
"Devon White"	0.0727815
Galarraga	0.0727332
"Neifi Perez"	0.0725832
Burnitz	0.0725569
Buhner	0.072507
Sele	0.072429
"Mike Piazza"	0.0724285
Easley	0.0723948
"Tom Lampkin"	0.0722502
Leyritz	0.072181
Wetteland	0.0721608
"Jay Payton"	0.072151
"David Segui"	0.0721065
"Derek Jeter"	0.0720842
"Butch Huskey"	0.0718175
Martinez	0.071806
Finley	0.0717761
"Miguel Tejada"	0.0716388
"Gary DiSarcina"	0.0716187
"Desi Relaford"	0.0716169
"Brian Jordan"	0.0711326
"Omar Vizquel"	0.0710003
Cora	0.0709918
Furcal	0.0709839
"Joe Randa"	0.0709369
"David Bell"	0.0706427
Abreu	0.07064
Bonilla	0.0706161
"Mike Lansing"	0.0703966
Meares	0.0703819
"Luis Castillo"	0.0699957
"Ricky Ledee"	0.0699456
"Eddie Taubensee"	0.0699084
"Eric Owens"	0.0697984
Hundley	0.0696873
"Brian Hunter"	0.0696829
Brandon	0.0696519
"Joey Cora"	0.0696253
"Gary Sheffield"	0.0696098
Randa	0.0695923
"Kenny Lofton"	0.0695632
"Tim Bogar"	0.0695416
"Chuck Knoblauch"	0.0695371
Molina	0.0695206
"Nomar Garciaparra"	0.0694939
Thome	0.0692961
"Paul Konerko"	0.069285
"Gregg Jefferies"	0.0691164
"Jim Thome"	0.069094
"Benji Gil"	0.0690706
Bichette	0.068986
"Todd Helton"	0.0689078
"Darren Lewis"	0.0687227
Cobb	0.0685621
Griffey	0.0685468
Frye	0.0684779
DeShields	0.0683963
))
(clean (desc 16986.2) (sims
cleaning	0.068457
cleaner	0.0477613
))
("Clean Air Act" (desc 5118.66) (sims
"Clean Water Act"	0.258467
"Voting Rights Act"	0.242746
"Telecommunications Act"	0.226081
"Civil Rights Act"	0.217776
"Community Reinvestment Act"	0.179012
"Balanced Budget Act"	0.175935
"Endangered Species Act"	0.172703
"ABM Treaty"	0.166759
Ada	0.162684
"Title IX"	0.159204
"Title VII"	0.152658
"antitrust law"	0.150949
"Anti-Ballistic Missile Treaty"	0.144327
"U.S. Constitution"	0.140324
statute	0.139851
"Lusaka Peace Accord"	0.138912
"criminal law"	0.134847
"Disabilities Act"	0.134155
"U.N. Resolution @@@"	0.133988
"Antiquities Act"	0.131762
"Geneva convention"	0.131674
"building code"	0.129177
"bankruptcy law"	0.126995
"Helms-Burton Act"	0.123606
Ordinance	0.119081
"Vienna Convention"	0.116036
"Oslo Accords"	0.114394
"Maastricht Treaty"	0.11352
constitution	0.111831
"Criminal Procedure Law"	0.110546
"U.N. Charter"	0.10632
bylaw	0.104219
"Sino-British Joint Declaration"	0.102342
"Article @@"	0.101458
"trade agreement"	0.0977719
charter	0.094461
"U.N. Security Council Resolution @@@"	0.0941519
"Basic Law"	0.0934982
"Kyoto Protocol"	0.093171
Treaty	0.0928697
decree	0.0921942
"Lusaka Protocol"	0.0917647
"Proposition @@"	0.0903422
"Resolution @@@"	0.089253
zoning	0.089015
"international law"	0.087041
directive	0.0864551
"penal code"	0.0864204
"North American Free Trade Agreement"	0.0860606
"organic law"	0.0859166
"abortion law"	0.0849198
"Fourth Amendment"	0.0847655
"safety standard"	0.0828749
ABM	0.0821044
covenant	0.0816953
"Proposition @@@"	0.0816351
"Occupational Safety and Health Administration"	0.0808858
"First Amendment"	0.0804518
"United Nations Charter"	0.0804256
guideline	0.0802546
Helms-Burton	0.0792554
"Oslo Accord"	0.0781523
"Joint Declaration"	0.0767964
"maritime law"	0.0754524
"International Covenant"	0.0753384
pact	0.0738635
"Montreal Protocol"	0.0730127
"Proposition @"	0.0708019
armistice	0.0703808
CITES	0.0702752
"Resolution @@@@"	0.068984
"counsel law"	0.0687705
"code of conduct"	0.0687561
OSHA	0.0671303
"Section @@@"	0.0669273
NAFTA	0.0665036
embargo	0.0664172
protocol	0.0657773
"Section @"	0.0656887
"labor contract"	0.0652576
clause	0.0649295
"Comprehensive Test Ban Treaty"	0.0641291
"rule of evidence"	0.0638401
"UN Charter"	0.0636435
"International Civil Aviation Organization"	0.0631742
ERISA	0.0627839
Shariah	0.0626398
"administrative law"	0.0624389
"Article @@@"	0.0620936
"due process"	0.060791
"patent right"	0.0603085
"Bank for International Settlements"	0.0599012
Sharia	0.059802
"commercial law"	0.05929
Wye	0.0583548
EPA	0.0577308
"United Nations Convention"	0.0575559
"European Convention"	0.0575144
"poison pill"	0.0569363
"tax system"	0.0568362
"law of nature"	0.0562977
"START II"	0.0558812
"right to privacy"	0.0557438
"Environmental Protection Agency"	0.0549903
"tax bill"	0.0547989
tort	0.0547604
"tax change"	0.0541408
doctrine	0.0535895
"rating system"	0.0535192
CWC	0.0526844
prohibition	0.0523679
IPR	0.0521824
Miranda	0.0521325
"Bill of Rights"	0.0518278
"Article @"	0.0511943
"Fifth Amendment"	0.0510968
UNFICYP	0.0509813
FAA	0.0508869
"labor agreement"	0.0505389
FCC	0.0501438
VFA	0.0500807
"U.N. Convention"	0.0496088
"Securities and Exchange Commission"	0.0495834
quarantine	0.0494505
"Food and Drug Administration"	0.0493829
"peace treaty"	0.0493471
"Federal Election Commission"	0.0491693
"trade bill"	0.0489591
NCAA	0.0488184
AFTA	0.0487473
memorandum	0.0486468
"property right"	0.0484599
ergonomics	0.0481562
"board of regents"	0.0477929
FDA	0.0477648
"Sino-Japanese Joint Statement"	0.047266
UNPREDEP	0.0472613
"legal code"	0.0471449
truce	0.0471183
"Philippine Central Bank"	0.0470104
"trade embargo"	0.0469846
curfew	0.0468618
NPT	0.0468497
"Consumer Product Safety Commission"	0.0467958
"Nationality Law"	0.0467082
edict	0.0464771
judgement	0.0461337
IRS	0.0457135
"civil law"	0.0456691
CRA	0.0450342
"Sino-Portuguese Joint Declaration"	0.0449411
"development plan"	0.0443417
"salary cap"	0.0441693
"licensing agreement"	0.0432112
"test data"	0.0430508
lockbox	0.0428338
"civil right"	0.0425276
ISO	0.0424933
PSC	0.0424303
Dayton	0.042223
Sheikh	0.0421387
"Beijing Declaration"	0.0419442
"National Collegiate Athletic Association"	0.0419369
"common law"	0.0418386
RICO	0.0418082
"death tax"	0.0414689
"antitrust regulator"	0.0412864
"Chemical Weapons Convention"	0.0410563
"benefit program"	0.0409441
NRC	0.0408391
"North Atlantic Council"	0.040825
"No. @@@@"	0.0407289
"estate tax"	0.0406041
"majority rule"	0.0405557
"freedom of religion"	0.0405417
SDMI	0.0403313
"Six Day War"	0.0402136
precept	0.0400786
Shays-Meehan	0.0400241
))
("clean and jerk" (desc 4867.2) (sims
snatch	0.359402
jerk	0.21166
Heptathlon	0.146808
"pole vault"	0.139079
"high jump"	0.127341
breaststroke	0.118666
"hammer throw"	0.114097
kgs	0.111431
weightlifting	0.109005
decathlon	0.1067
medley	0.105323
backstroke	0.101701
skeet	0.0993222
steeplechase	0.0980042
freestyle	0.0959138
"long jump"	0.0955189
"shot put"	0.0927129
"world record"	0.088832
epee	0.0875549
javelin	0.085521
butterfly	0.0799559
"pommel horse"	0.0723015
pentathlon	0.0722503
Super-G	0.0716058
scull	0.0708839
halfpipe	0.0704359
"Pan Ams"	0.0698032
"horizontal bar"	0.0691936
judo	0.0677848
men's	0.0677483
dressage	0.0647818
"parallel bars"	0.0646909
archery	0.0644304
EuroLeague	0.0618861
"European Cup"	0.0607195
marathon	0.0607164
"ski jumping"	0.0595445
taekwondo	0.0588302
"figure skating"	0.057964
Gymnastics	0.0576691
im	0.0564861
kg	0.0561131
"match play"	0.055456
"Sudirman Cup"	0.0554467
"World Championship"	0.0552077
"Thomas Cup"	0.0544265
"Pan Am Games"	0.0543361
three-meter	0.0541314
"Fed Cup"	0.0530375
"table tennis"	0.0529372
"National Collegiate Athletic Association"	0.0528028
"Seoul Olympics"	0.051934
"World League"	0.051096
Ironman	0.0507603
"ski jump"	0.0497284
relays	0.0496171
"water polo"	0.049252
badminton	0.0485829
"track and field"	0.0485689
aerial	0.0483279
"cross country"	0.0467299
triathlon	0.046038
"European Tour"	0.0459599
"three-day event"	0.0446637
"Uber Cup"	0.0445902
springboard	0.0445135
Asiad	0.0439831
"Skate America"	0.0436389
volleyball	0.0436062
wrestling	0.0435047
bobsled	0.0434327
"Barcelona Games"	0.0428101
discus	0.0424737
slalom	0.0423574
Schmitt	0.0421673
"ice hockey"	0.0420108
GP	0.0418519
"Golden League"	0.0416701
Cliburn	0.041321
"field hockey"	0.0411563
"Italian Cup"	0.0409402
Skating	0.0402436
cycling	0.0402378
))
("clean slate" (desc 988.975) (sims
toehold	0.110293
"tax advantage"	0.0948142
walkover	0.0942665
"goose bumps"	0.0904939
"all clear"	0.080646
half-point	0.0774868
"elbow room"	0.0747441
"breathing space"	0.0746692
smooch	0.0734244
send-off	0.0732452
mindset	0.0726046
"absolute majority"	0.0721116
"blank check"	0.0717968
"ownership stake"	0.0716071
"nine homers"	0.0700585
"inside track"	0.0688811
"sneak preview"	0.0686788
fillip	0.0685632
goosebumps	0.0685215
"first point"	0.067841
"right to vote"	0.0670384
"bill of health"	0.066748
"breathing room"	0.0664975
refereeing	0.06624
"speeding ticket"	0.0661895
"face lift"	0.0661305
oomph	0.0659336
"waiting game"	0.0658501
"carte blanche"	0.0653914
trepidation	0.0650635
"upper hand"	0.0647809
cakewalk	0.0643195
goal-scorer	0.0643037
casualness	0.0638535
sendoff	0.0635774
lovefest	0.0630759
nonstarter	0.063037
"Medicare HMO"	0.0625821
"positive feedback"	0.0623589
knighthood	0.0617817
Deion	0.0617216
"tax treatment"	0.0612837
"equity stake"	0.0610231
foothold	0.0607068
semblance	0.0605068
"numbers game"	0.0603212
fife	0.0599043
"power of attorney"	0.059898
slipcover	0.0596305
"four homers"	0.0594602
ghostwriter	0.0593788
bigger	0.059074
"competitive advantage"	0.0590402
toasty	0.0589498
Lowdown	0.0587864
"fresh start"	0.0584396
"starting line-ups"	0.0581294
non-factor	0.058104
"retirement benefit"	0.0580738
"day of rest"	0.0579786
"cold shoulder"	0.0578176
"won-lost record"	0.0578032
facelift	0.0577532
freshness	0.057597
"security clearance"	0.0574179
plurality	0.0572106
"birthday present"	0.0570401
bye	0.0570268
vasectomy	0.0568388
uptrend	0.0567305
off-day	0.0566161
Soriano	0.0563483
"time of day"	0.0562638
"Christmas present"	0.0561518
"bus ticket"	0.056086
"No. @s"	0.0559734
comeuppance	0.0558704
"history lesson"	0.0557538
chalkboard	0.0553459
"good story"	0.0551993
"straight face"	0.0549722
typo	0.054829
"magic bullet"	0.054736
abomination	0.0545004
"strong belief"	0.0544556
"free rein"	0.0544547
tranquility	0.0543939
"medical checkup"	0.0541895
bio-diversity	0.0540455
"sense of balance"	0.0540013
inkling	0.0538458
"critical point"	0.0532836
sub-branches	0.0531854
"minority interest"	0.0530753
abdication	0.0529517
"about one percent"	0.0528202
"inferiority complex"	0.0526871
"hard copy"	0.0526316
moniker	0.0525605
meatpackers	0.0525583
"pain in the neck"	0.052475
"stay of execution"	0.0521962
"South African Amanda Coetzer"	0.0521921
"seal of approval"	0.0521153
"rest day"	0.0521011
Chemo	0.0519373
"record earnings"	0.0518691
"written record"	0.0517653
flexor	0.0517115
"Bafana Bafana"	0.0515844
"great deal"	0.0512668
"Good Book"	0.0511281
"coat of paint"	0.0510346
"moral obligation"	0.0510039
"distinctive feature"	0.050903
"core group"	0.050898
banger	0.0508462
"service break"	0.0508429
"seven homers"	0.0507237
"one share"	0.0505392
hunch	0.0505029
earnestness	0.0503089
telomeres	0.0502644
"triple play"	0.0502407
stinker	0.0501962
p/e	0.0501868
"day game"	0.0500301
"elephant population"	0.0496353
comedown	0.0495717
"labor pool"	0.0495289
"Team New Zealand"	0.0495089
copout	0.0494048
exclusivity	0.0489703
breather	0.0488384
"peace of mind"	0.0488321
"Rosh Hashana"	0.0487549
"research staff"	0.0486429
"shell game"	0.048629
"sense of purpose"	0.0485453
imprimatur	0.0485445
mitzvah	0.0483405
resuscitation	0.048339
hat-trick	0.0483197
sinker	0.048237
non-issue	0.0482286
Consulate-General	0.0481989
dispensation	0.0481506
"Medal of Honor"	0.0479645
"head start"	0.0479618
nonevent	0.047877
"Naoko Sawamatsu"	0.0478395
"right of way"	0.0476585
"frame of reference"	0.0476272
near-monopoly	0.047534
patina	0.0474845
perquisite	0.0474546
"set point"	0.0472246
"staying power"	0.0471813
"Bronze Star"	0.0471401
Trailblazer	0.0471193
cachet	0.0471149
premonition	0.0470024
one-hitter	0.0469325
"tall order"	0.046914
hankering	0.046731
Leeway	0.0465457
glimmer	0.046472
"face saving"	0.0464092
"sphere of influence"	0.0463948
"sweet tooth"	0.0463795
"business card"	0.0461899
crematorium	0.0461562
blackboard	0.0461159
"safety feature"	0.0460508
"black eye"	0.0460239
Necaxa	0.0460191
catharsis	0.0459487
"civic duty"	0.0458477
"gas stove"	0.0458373
bifida	0.0457073
"incubation period"	0.0456815
crapshoot	0.0456132
"piece of land"	0.0455232
"eye opener"	0.045477
"minority stake"	0.0454556
wherewithal	0.0453491
accouterment	0.0453125
"human face"	0.045305
"progress report"	0.0452896
whammy	0.0452851
"vantage point"	0.0452205
"Norv Turner"	0.045193
"balanced diet"	0.0450554
"line of products"	0.0449933
stranglehold	0.0449272
"nose dive"	0.0449099
"hard sell"	0.0447274
"marketing program"	0.0446918
"away game"	0.0445862
"covert operation"	0.0445696
))
("Clean Water Act" (desc 2895.12) (sims
"Clean Air Act"	0.258467
"Civil Rights Act"	0.231249
"Voting Rights Act"	0.222029
"Endangered Species Act"	0.188741
"Title VII"	0.180278
"Telecommunications Act"	0.174907
"Community Reinvestment Act"	0.16904
"Title IX"	0.166793
Ada	0.155981
"antitrust law"	0.13132
"building code"	0.128091
"criminal law"	0.123706
"Proposition @"	0.119518
"Disabilities Act"	0.119253
"Helms-Burton Act"	0.114916
"U.N. Resolution @@@"	0.113983
"maritime law"	0.113195
"Balanced Budget Act"	0.10866
"Lusaka Protocol"	0.108261
"commercial law"	0.108164
"Fourth Amendment"	0.107779
"bankruptcy law"	0.106941
"Lusaka Peace Accord"	0.103345
"U.S. Constitution"	0.102617
"Geneva convention"	0.102295
statute	0.101792
bylaw	0.101568
Ordinance	0.101405
"organic law"	0.0998946
"Oslo Accords"	0.0977115
"counsel law"	0.0959062
"Vienna Convention"	0.0950576
"Proposition @@@"	0.0940794
"Kyoto Protocol"	0.0930619
"ABM Treaty"	0.0929798
"First Amendment"	0.0926079
"Proposition @@"	0.091
Shays-Meehan	0.0885438
"International Covenant"	0.0859358
"Montreal Protocol"	0.0854598
"Criminal Procedure Law"	0.0838819
"safety standard"	0.0833093
zoning	0.0827406
"penal code"	0.0825795
"U.N. Security Council Resolution @@@"	0.0823832
"U.N. Charter"	0.0819626
"Article @@"	0.0817365
"North American Free Trade Agreement"	0.0810328
Helms-Burton	0.0802509
IPR	0.0788007
"Bill of Rights"	0.0778442
"international law"	0.0755462
"European Convention"	0.0749191
"tax bill"	0.0746537
"trade agreement"	0.0742636
"Anti-Ballistic Missile Treaty"	0.0731139
"United Nations Charter"	0.0727992
"Article @"	0.0724286
"code of conduct"	0.0720206
"right to privacy"	0.0716557
ERISA	0.0701961
"patent right"	0.0695861
"rule of evidence"	0.069555
"Article @@@"	0.0693196
"trade embargo"	0.0692078
"labor contract"	0.0688519
"civil rights"	0.0686265
"Resolution @@@@"	0.0683453
covenant	0.0654122
"UN Charter"	0.0636584
CRA	0.0622131
OSHA	0.0621497
ABM	0.0620125
"property right"	0.0617366
"due process"	0.0613241
NMD	0.0608546
"Sino-British Joint Declaration"	0.0607732
"Occupational Safety and Health Administration"	0.0603198
"civil right"	0.0595103
NAFTA	0.0592976
NPT	0.0590493
RICO	0.0590141
Nepa	0.0588332
armistice	0.0584496
prohibition	0.056621
CITES	0.0565537
"START II"	0.0565315
"Basic Law"	0.0564988
"Section @"	0.0564893
"tax change"	0.056209
"Section @@@"	0.0560698
curfew	0.0557667
directive	0.0557108
quarantine	0.0555505
VFA	0.0547431
"abortion law"	0.053946
tort	0.0535692
"International Civil Aviation Organization"	0.0535264
"Fifth Amendment"	0.0535145
"trade bill"	0.0529276
GST	0.0527872
"administrative law"	0.0526756
edict	0.0524311
"educational activity"	0.0515323
"U.N. Convention"	0.0507366
V-chip	0.050432
expedient	0.0498347
Sharia	0.04966
"public trust"	0.0493191
"permanent normal trade relations"	0.0491597
ergonomics	0.0487659
"employment contract"	0.0485461
USDA	0.0481948
"attorney-client privilege"	0.0476478
FEC	0.0474721
"Oslo Accord"	0.0469676
"law of nature"	0.0464849
"Antiquities Act"	0.0458579
"legal right"	0.0454807
"Resolution @@@"	0.045451
"tax increase"	0.0454274
"Environmental Protection Agency"	0.0454051
"law officer"	0.0452331
"Federal Election Commission"	0.0448349
"Chemical Weapons Convention"	0.0447781
"estate tax"	0.0445938
"price control"	0.0444159
injunction	0.0443069
PNTR	0.0439516
"Joint Declaration"	0.0438539
CTBT	0.0432676
"Nuclear Regulatory Commission"	0.0432158
"freedom of religion"	0.0431785
decency	0.0431478
Miranda	0.042984
"labor agreement"	0.0428891
"extension service"	0.0427526
"civil law"	0.0426348
"Consumer Product Safety Commission"	0.0423672
"United Nations Convention"	0.0421648
eggshell	0.0419613
"safety measure"	0.0418761
HHS	0.0417799
"Health Care Financing Administration"	0.041701
"gasoline tax"	0.0416597
"rating system"	0.0415634
"Interior Department"	0.0414444
"family planning"	0.0412424
"National Collegiate Athletic Association"	0.0411845
Shariah	0.0411149
"tax system"	0.0409832
"freedom of speech"	0.0409523
CWC	0.0409447
"civil liberty"	0.0408753
"licensing agreement"	0.0408464
"highway system"	0.04072
Longo	0.0406645
LoC	0.0404547
leash	0.0403312
"Maastricht Treaty"	0.0402649
"Department of Education"	0.0401773
AFTA	0.0401642
))
(cleaner (desc 20198.9) (sims
detergent	0.112453
cleanser	0.105991
bleach	0.103863
thinner	0.0900853
shampoo	0.0807432
disinfectant	0.080458
solvent	0.0798093
remover	0.0768803
soap	0.0758816
REPELLENT	0.0725413
deodorant	0.0717328
sealer	0.0679423
smoother	0.0675593
housekeeper	0.0670312
warmer	0.0663702
fluid	0.0648073
"motor oil"	0.0643717
busboy	0.0640735
lighter	0.0625507
cooler	0.0617267
doormen	0.0609436
scraper	0.0602084
bellhop	0.0601192
lotion	0.0598981
helper	0.0598508
maid	0.0598285
dishwasher	0.0585987
bartender	0.0580996
adhesive	0.058074
cashier	0.0578378
insecticide	0.0570675
receptionist	0.0568847
janitor	0.056262
gasoline	0.0560093
mouthwash	0.0558747
lubricant	0.0554601
herbicide	0.0552465
"ticket agent"	0.054783
waitress	0.0544024
clerk	0.0541985
chemical	0.0540029
ethanol	0.0534146
seamstress	0.0532924
Liquid	0.0527861
"diesel fuel"	0.0524458
waiter	0.0524157
hose	0.0519266
coating	0.0518239
methanol	0.0515744
electrician	0.0513467
attendant	0.0509839
preservative	0.0507993
refrigerant	0.0506893
ammonia	0.0503574
mechanic	0.0502858
glue	0.0502056
fertilizer	0.0500993
pesticide	0.0498689
installer	0.0496442
sealant	0.0495881
stripper	0.0490071
toothbrush	0.048837
purifier	0.0486518
cosmetic	0.0480851
toothpaste	0.0480825
washer	0.0479276
chlorine	0.0479183
"truck driver"	0.0476237
technician	0.047456
appliance	0.0473884
carpenter	0.0470247
cleaning	0.0463575
handler	0.0463391
"bus driver"	0.0463181
stain	0.0463108
nozzle	0.0461515
loader	0.0461443
"vacuum cleaner"	0.046109
acid	0.0460961
poison	0.0460929
gas	0.0459376
kerosene	0.0458482
kit	0.0458176
MTBE	0.0454482
additive	0.0445475
lamp	0.044472
alcohol	0.044465
servant	0.044418
Gel	0.0441904
diaper	0.0433562
varnish	0.0430239
plumber	0.043019
restorer	0.0427803
tile	0.0425083
insulation	0.0424526
welder	0.042442
"liquefied petroleum gas"	0.0424297
conditioner	0.0423125
sweeper	0.042182
messenger	0.042086
dryer	0.041946
"hot sauce"	0.0418516
"telephone operator"	0.0416823
wax	0.041547
furniture	0.0413322
handyman	0.0413304
Beer	0.0413082
gardener	0.0412502
operator	0.0410463
utensil	0.0410089
custodian	0.0407826
heater	0.0406338
vitamin	0.0404505
laborer	0.0403274
electric	0.0403178
perfume	0.0403156
sponge	0.0402958
horsepower	0.0402811
salesmen	0.0402281
plastic	0.040133
beverage	0.0400583
))
(cleaning (desc 22302.9) (sims
repair	0.119062
cleanup	0.113654
maintenance	0.109395
renovation	0.0952034
housekeeping	0.0951674
rehabilitation	0.0922696
restoration	0.091145
reconstruction	0.0892233
"dry cleaning"	0.0885913
rebuilding	0.0874445
gardening	0.0834556
decontamination	0.0812574
washing	0.0806914
upkeep	0.0790089
purification	0.078718
"family planning"	0.0773255
preservation	0.0763891
hairdressing	0.0756819
construction	0.0748551
housework	0.0743875
installation	0.0741539
testing	0.0737205
verification	0.0736961
laundry	0.073441
cooking	0.0734178
landscaping	0.0730954
afforestation	0.072382
chore	0.0720734
transportation	0.0713507
inspection	0.0712743
training	0.0709379
screening	0.0706164
sanitation	0.0701395
conservation	0.0699858
removal	0.0696445
sewing	0.0686306
planting	0.0680532
overhaul	0.0676161
checkup	0.0676124
processing	0.067235
preparation	0.0670516
examination	0.0669211
"child care"	0.0658102
recycling	0.0657702
prevention	0.0657421
planning	0.0654921
drilling	0.0654881
upgrade	0.0653862
modernization	0.0653387
packing	0.0648632
treatment	0.0644553
excavation	0.0641939
"road construction"	0.0637594
storage	0.0635331
babysitting	0.0635044
management	0.0618029
digging	0.0616211
surveillance	0.0615778
protection	0.0615746
demolition	0.0614471
eradication	0.060994
sterilization	0.0605931
clearing	0.0605931
exploration	0.0604424
printing	0.0603707
improvement	0.0598
identification	0.0597066
editing	0.0592866
catering	0.0592648
spraying	0.0590642
"dental care"	0.0587685
evaluation	0.0583395
restructuring	0.0582979
adjustment	0.0582655
refurbishment	0.0580432
disposal	0.0579398
care	0.0579059
"health care"	0.0578702
shopping	0.0577836
servicing	0.0577159
nutrition	0.0575058
remediation	0.0573348
loading	0.0570678
healing	0.0570364
irrigation	0.0569233
doing	0.0569219
enforcement	0.0567061
education	0.0566421
heating	0.0565206
Promotion	0.0563232
marketing	0.0560647
appraisal	0.0559272
pruning	0.0557489
checking	0.0557395
plowing	0.0557385
"garbage collection"	0.0556195
monitoring	0.0555939
wrapping	0.0553666
logistics	0.0552184
watering	0.0548689
procurement	0.0547746
resettlement	0.0545882
"physical therapy"	0.0545393
facelift	0.0545382
fertilization	0.0544191
Implementation	0.0544089
registration	0.054295
biopsy	0.054228
therapy	0.0536103
recreation	0.0533468
helping	0.0531948
distribution	0.0530828
immunization	0.0527614
networking	0.0527522
Housing	0.0527398
designing	0.0526421
conditioning	0.0525844
commuting	0.0524725
shipping	0.0524092
redesign	0.0523372
"flood control"	0.0523006
disarmament	0.0522202
"medical care"	0.0522075
renewal	0.0521597
figuring	0.0521529
massage	0.0517881
detection	0.0516794
"public works"	0.0516143
drainage	0.0516044
farming	0.0515293
fishing	0.0514929
manufacturing	0.0514088
feeding	0.051284
hygiene	0.0512534
PR	0.0512328
expansion	0.0510514
governance	0.0509022
plumbing	0.0507802
picking	0.0507254
engineering	0.0507151
mapping	0.0503546
"customer service"	0.050302
computing	0.0502712
recovery	0.0502611
audit	0.0502014
reorganization	0.0502002
financing	0.0500523
utilization	0.0499126
learning	0.0498553
"nursing care"	0.0498232
filtering	0.0496381
consolidation	0.0495231
counseling	0.0495138
readjustment	0.049503
repatriation	0.0493738
"medical exam"	0.0493028
roofing	0.0492431
Exam	0.049238
eating	0.0491707
sorting	0.0490599
delivery	0.0489263
insurance	0.0489139
assessment	0.0488925
recruitment	0.0487881
dismantling	0.0487663
cultivation	0.0487426
breeding	0.0486883
Privatization	0.0486808
creation	0.0485414
clearance	0.0484357
"garbage disposal"	0.0483866
packaging	0.0483534
carpentry	0.0481708
safety	0.0481415
modification	0.0480434
surveying	0.0479975
reforestation	0.0479435
agriculture	0.0479241
reconciliation	0.0478727
cutting	0.0477584
psychotherapy	0.0477575
"interior decoration"	0.0476179
teaching	0.0474943
"law enforcement"	0.0474672
copying	0.0474608
communication	0.0473326
deployment	0.0473117
procedure	0.0471707
sharing	0.0469857
ventilation	0.0467636
diagnosis	0.0465895
medical	0.046572
navigation	0.0465128
warehousing	0.0464985
handling	0.0463756
cleaner	0.0463575
integration	0.0463224
transformation	0.0462351
mammogram	0.046209
task	0.0460958
))
(cleanliness (desc 7176.56) (sims
hygiene	0.139417
sanitation	0.123321
reliability	0.123283
nutrition	0.0975238
sustainability	0.0936918
competence	0.0928732
dependability	0.0912632
affordability	0.0909848
efficiency	0.0873474
cost-effectiveness	0.0869781
purity	0.0811274
"sanitary condition"	0.0809185
efficacy	0.0791653
responsiveness	0.0789546
"quality of life"	0.0786673
punctuality	0.076527
"customer service"	0.0757398
fitness	0.0749058
well-being	0.0744249
"environmental condition"	0.0734084
civility	0.0728985
usability	0.0728525
ergonomics	0.071853
durability	0.0713568
attractiveness	0.0708491
suitability	0.0705715
wholesomeness	0.0695317
orderliness	0.0691589
diversification	0.0688339
authenticity	0.0679418
accessibility	0.0677193
effectiveness	0.0674961
"market order"	0.0674065
"quality control"	0.0672442
competitiveness	0.0659138
"safety standard"	0.0656455
comfort	0.0655614
proficiency	0.0651653
accountability	0.0647566
sportsmanship	0.0644926
convenience	0.0644489
maintenance	0.0638361
tranquility	0.0638028
soundness	0.0628097
competency	0.0625839
transparency	0.0618549
continuity	0.061306
beautification	0.0612688
profitability	0.0612683
liquidity	0.0612308
fairness	0.0611435
timeliness	0.0611071
integrity	0.060844
conservation	0.0601893
predictability	0.0600277
"public security"	0.0600209
literacy	0.0599928
morality	0.059636
excellence	0.0594778
productivity	0.0593002
standardization	0.0590631
Openness	0.058917
utilization	0.0588615
preparedness	0.0585701
ethic	0.0585595
compatibility	0.0583927
preservation	0.0580266
objectivity	0.0575931
governance	0.0575684
professionalism	0.0567496
confidentiality	0.0566782
dignity	0.0561122
marketability	0.0558261
pollution	0.0555653
availability	0.0550961
Privacy	0.0544142
accuracy	0.054275
diversity	0.0541561
pricing	0.0540477
alertness	0.0539888
friendliness	0.0539155
familiarity	0.0535286
exclusivity	0.0533453
"social welfare"	0.0526699
ecology	0.0525421
portability	0.0524617
"standard of living"	0.0523948
emission	0.0518841
honesty	0.0517568
secrecy	0.0516819
"good manners"	0.0513094
impartiality	0.0511006
enforcement	0.0509073
"business condition"	0.0508637
readiness	0.0507146
"job security"	0.0506026
adaptability	0.0504948
"water supply"	0.0504481
clarity	0.0499642
overuse	0.0499234
amenity	0.0499183
worthiness	0.0497232
vitality	0.0497212
practicality	0.0495628
"mental health"	0.0495027
degradation	0.0493461
uniformity	0.0493444
electrification	0.0492788
interoperability	0.0492778
quarantine	0.0492304
"good health"	0.0492251
flexibility	0.04894
stabilization	0.0488844
freshness	0.0487255
cleanup	0.0485848
consistency	0.0484961
decency	0.0484421
viability	0.0482695
affability	0.0481401
decorum	0.0481087
mobility	0.047779
self-sufficiency	0.0475569
craftsmanship	0.0474883
cohesiveness	0.047475
monitoring	0.0474471
"rule of law"	0.0473782
enjoyment	0.0473578
"health service"	0.047331
thoroughness	0.0473145
"creature comforts"	0.047302
"drainage system"	0.0472148
"peace of mind"	0.0471761
compliance	0.0471556
prudence	0.0469468
simplicity	0.0465789
reasonableness	0.0463732
tranquillity	0.0462846
ventilation	0.0460844
certainty	0.0459432
self-discipline	0.045864
neutrality	0.0456654
refereeing	0.0455338
potency	0.0451016
urbanization	0.0449702
"social status"	0.0446714
dynamism	0.0446319
"economic condition"	0.0446077
sanctity	0.0445669
solvency	0.0445205
resilience	0.0442203
fertility	0.0440327
navigation	0.0438725
"air pollution"	0.0437152
normality	0.0437072
trustworthiness	0.0435202
coherence	0.0435138
afforestation	0.0434837
individuality	0.0432688
sophistication	0.0431838
plunger	0.0431792
upkeep	0.0428925
acceptability	0.0428433
"financial condition"	0.0421319
"economies of scale"	0.0421136
truthfulness	0.0421062
grooming	0.041869
labeling	0.041788
qualification	0.0416678
conditioning	0.0415384
cohesion	0.0415305
usefulness	0.0414921
empowerment	0.0413277
teamwork	0.0412861
dissemination	0.041173
decentralization	0.0411607
superiority	0.0411582
feasibility	0.0411194
serenity	0.0411113
contamination	0.0409942
"tax collection"	0.0408419
modernization	0.0408294
procurement	0.040809
hardness	0.0407944
unreality	0.0406931
rectification	0.0405946
packaging	0.0404296
self-government	0.0401881
propriety	0.0401512
creditworthiness	0.0401172
normalcy	0.0401119
legitimacy	0.0400039
))
(cleanser (desc 3663.6) (sims
"laundry detergent"	0.135092
detergent	0.131402
lotion	0.119192
shampoo	0.110061
cleaner	0.105991
disinfectant	0.099864
"hair spray"	0.0967622
toothpaste	0.0964758
mouthwash	0.0962361
ointment	0.0952661
soap	0.0904354
bleach	0.0829827
deodorant	0.0803567
Gel	0.076866
solvent	0.0749169
plunger	0.0721376
perfume	0.0712268
"shaving cream"	0.0683284
toothbrush	0.0664614
razor	0.0623237
preservative	0.0588911
"razor blade"	0.0567258
moisturizer	0.0566467
masher	0.0555643
cosmetic	0.0553281
salve	0.0522584
grout	0.0513516
tampon	0.0512415
"rocket fuel"	0.0511744
"ballpoint pen"	0.0508986
PDA	0.0508561
REPELLENT	0.050617
remover	0.0504317
"software system"	0.0497361
defoliant	0.0495342
"steel wool"	0.0494579
"toilet paper"	0.0491972
lubricant	0.0489553
peptide	0.0488868
TORTURER	0.0488262
"fountain pen"	0.0483153
insecticide	0.0476815
sandpaper	0.0476451
fungicide	0.0476257
Tonic	0.0473334
antifreeze	0.046949
purifier	0.0467234
conditioner	0.0466532
"paper towel"	0.0459697
"skin care"	0.0458748
"pet food"	0.0458179
laceration	0.0457972
snorkel	0.0443673
additive	0.044287
balm	0.0442775
"potato chip"	0.0430735
endoscope	0.0430653
faucet	0.0426597
"hair dryer"	0.0426124
"hand-held computer"	0.0425194
sedative	0.0423645
utensil	0.0421958
methanol	0.0418334
antihistamine	0.040448
potion	0.0403478
ammonia	0.0403414
))
(cleansing (desc 23576.5) (sims
genocide	0.16928
repression	0.167857
atrocity	0.166288
persecution	0.155128
massacre	0.151633
"war crime"	0.133436
brutality	0.13233
expulsion	0.130253
torture	0.129137
bloodshed	0.126844
purge	0.126766
slaughter	0.1258
aggression	0.124987
killing	0.121105
"mass murder"	0.120851
displacement	0.118473
terror	0.11759
oppression	0.115228
rape	0.114634
terrorism	0.113887
looting	0.112838
destruction	0.109939
violence	0.1077
intimidation	0.106166
harassment	0.104602
kidnapping	0.103943
pogrom	0.101508
abuse	0.100415
arson	0.0982977
mutilation	0.0980686
warfare	0.0972788
abduction	0.0972101
bombing	0.094465
shelling	0.0930416
extermination	0.0927259
deportation	0.0923245
bloodletting	0.090063
"military campaign"	0.0899311
offensive	0.0886401
bombardment	0.0885617
starvation	0.0881306
"military action"	0.0877022
butchery	0.0876757
catastrophe	0.0875608
war	0.087356
assault	0.0870577
lawlessness	0.0859212
carnage	0.0857836
barbarity	0.0853173
famine	0.0852235
provocation	0.0846851
murder	0.0842299
sabotage	0.0842022
"air attack"	0.0841615
exodus	0.0827987
crime	0.0827645
hatred	0.082432
discrimination	0.0823631
tyranny	0.0817569
vandalism	0.0798578
eviction	0.0796732
invasion	0.0792853
Execution	0.0792798
airstrikes	0.0792408
fighting	0.0791445
maltreatment	0.0789789
hijacking	0.078467
mayhem	0.0783654
mistreatment	0.078311
crackdown	0.0775304
assassination	0.0774887
pillage	0.0764133
unrest	0.0764039
devastation	0.0763593
violation	0.0762196
pillaging	0.0750995
incitement	0.0749545
reprisal	0.0747121
racism	0.074471
suffering	0.073805
extremism	0.0736611
conflict	0.0734737
injustice	0.0728995
bloodbath	0.0726019
beating	0.0725199
"child abuse"	0.0724366
tragedy	0.0719461
holocaust	0.0719135
coercion	0.0715949
burnings	0.0712731
instability	0.0710892
"civil war"	0.0710679
occupation	0.070954
extortion	0.0708547
Serbs	0.0697034
"air raid"	0.0694258
riot	0.0692646
robbery	0.069168
theft	0.069068
strife	0.0690218
degradation	0.068652
intolerance	0.0681491
"sexual harassment"	0.0679769
rioting	0.0677932
disaster	0.0674819
"sexual assault"	0.0672679
lynching	0.0669648
hostility	0.0665798
cruelty	0.0663369
deception	0.0662989
piracy	0.065977
"civil disobedience"	0.0658412
"election fraud"	0.0656565
ambush	0.0655599
onslaught	0.0654773
exploitation	0.0652755
incursion	0.0651985
suppression	0.0650747
raid	0.0646633
slavery	0.0639201
horror	0.0638652
espionage	0.0636262
barbarism	0.0634808
manipulation	0.0634731
reconstruction	0.0630844
intervention	0.0630318
rebellion	0.0628962
targeting	0.0627157
uprising	0.0625423
fraud	0.0623652
propaganda	0.0622073
destabilization	0.0622056
hostage-taking	0.0621144
cover-up	0.0619837
revenge	0.0618664
hooliganism	0.0617801
humiliation	0.061378
misconduct	0.0613117
infiltration	0.0611785
nationalism	0.0611464
annihilation	0.0609601
"armed robbery"	0.0609448
corruption	0.060934
Fascism	0.0605247
slaying	0.0604711
blackmail	0.0600263
"Kosovo Liberation Army"	0.0599859
clash	0.0599789
diplomacy	0.0598966
exhumation	0.0598463
rampage	0.0596787
separatism	0.0596273
misery	0.0595659
conspiracy	0.0594157
"drug trafficking"	0.0593664
chaos	0.0593523
prostitution	0.0592453
vote-buying	0.0591656
victimization	0.0590865
retaliation	0.0587097
demolition	0.0587015
anti-Semitism	0.0586709
retribution	0.0586196
smuggling	0.0585742
Albanian	0.0585722
interference	0.0580954
enslavement	0.057708
migration	0.0577048
betrayal	0.0576708
banditry	0.0574195
confrontation	0.0572816
dumping	0.0568193
disturbance	0.056426
malpractice	0.0563999
bigotry	0.0563952
Emigration	0.0562283
poisoning	0.056088
suicide	0.0556508
imperialism	0.0556407
blockade	0.055609
resistance	0.0555878
calamity	0.0555301
shooting	0.0554287
criminality	0.0551931
anarchy	0.0549364
hegemonism	0.0549342
takeover	0.0548802
deprivation	0.0548704
evacuation	0.0548682
vendetta	0.0548222
insurgency	0.0544869
infanticide	0.0542993
madness	0.0542633
"crime wave"	0.0539766
"arms race"	0.0539624
bribery	0.0537294
evil	0.0536481
"slave trade"	0.0535826
trafficking	0.0535219
subversion	0.0534954
))
(cleanup (desc 29417) (sims
renovation	0.144339
restoration	0.136782
repair	0.135953
reconstruction	0.126656
rehabilitation	0.124912
redevelopment	0.122125
remediation	0.122125
maintenance	0.121074
rebuilding	0.118396
construction	0.116764
cleaning	0.113654
restructuring	0.109751
modernization	0.105915
overhaul	0.103977
preservation	0.101343
afforestation	0.100338
reorganization	0.0998566
evacuation	0.0995604
Privatization	0.0995052
relocation	0.0983166
excavation	0.097833
disposal	0.0968586
resettlement	0.096745
rescue	0.0962379
upgrade	0.095332
"road construction"	0.0953019
repatriation	0.0951589
prevention	0.094237
removal	0.093512
recapitalization	0.0918633
recovery	0.0918603
pollution	0.0915928
inspection	0.091309
project	0.0908509
conservation	0.0896422
eradication	0.0891025
testing	0.0884894
reform	0.088485
enforcement	0.0883328
demolition	0.0882966
upkeep	0.0882256
transformation	0.0878723
improvement	0.0876529
exploration	0.0872393
expansion	0.0868872
research	0.0868016
planning	0.0864063
bailout	0.0862411
development	0.0843379
operation	0.0843271
Implementation	0.0838435
"land reform"	0.0834454
refurbishment	0.0827652
procurement	0.0824597
preparation	0.0823097
deployment	0.0822328
monitoring	0.0811897
"child care"	0.0811588
transportation	0.0811229
planting	0.0810931
reclamation	0.0808827
redistribution	0.0807947
investigation	0.0796074
rollout	0.0789825
disarmament	0.0789802
management	0.0785349
redesign	0.0784927
contamination	0.078338
dredging	0.0781344
"rehabilitation program"	0.0779932
reduction	0.0778882
protection	0.0777298
repayment	0.0773649
spraying	0.0769606
deregulation	0.0767332
litigation	0.0766675
reforestation	0.0762477
"training program"	0.0756802
surveillance	0.0756748
"public works"	0.0750092
liquidation	0.0749852
transfer	0.0748254
facelift	0.0745436
installation	0.0735797
processing	0.0735561
acquisition	0.0730474
training	0.0730012
airlift	0.0729142
"education program"	0.0726006
education	0.0725527
shutdown	0.0721848
conversion	0.0721636
revitalization	0.0720326
evaluation	0.0716791
Promotion	0.0715205
relief	0.071464
destruction	0.0709756
delivery	0.0709597
Housing	0.0708738
purchase	0.0708674
beautification	0.0704738
consolidation	0.070328
distribution	0.0697182
alleviation	0.0696282
registration	0.069551
Liberalization	0.0694428
dismantling	0.0694239
realignment	0.0692817
makeover	0.0691881
"water project"	0.0690545
"flood control"	0.0688383
sanitation	0.0686626
recycling	0.0685238
integration	0.0684701
"Big Dig"	0.0684103
financing	0.0683726
industrialization	0.0683642
"family planning"	0.0683497
search	0.0682893
restitution	0.0679605
audit	0.0678551
transport	0.0678185
servicing	0.0674772
treatment	0.0673987
"fund-raising campaign"	0.0673695
rectification	0.0672927
write-off	0.0672767
drilling	0.0670353
probe	0.0667838
examination	0.0663148
census	0.0655954
initiative	0.065569
withdrawal	0.0655179
divestiture	0.0655081
mitigation	0.065496
creation	0.0654291
fumigation	0.0654265
infrastructure	0.0654194
"advertising campaign"	0.0651841
recruitment	0.0651023
exhumation	0.065091
dumping	0.0650877
buyback	0.0650788
clearance	0.0649029
"health care"	0.0644736
mobilization	0.0642272
closure	0.064178
care	0.0641012
elimination	0.0640466
transition	0.0639978
activity	0.0639748
adjustment	0.0639183
commercialization	0.0638569
"medical care"	0.0634769
abatement	0.0633027
renewal	0.0631561
assessment	0.0627801
adoption	0.0627357
production	0.0623982
"R&AMP;D"	0.0623614
detection	0.0620995
demobilization	0.062093
readjustment	0.0618836
"market reform"	0.0618027
purification	0.0616288
immunization	0.0612599
closings	0.0612199
"tax cut"	0.0612016
inquiry	0.061127
"pay raise"	0.061124
electrification	0.0608761
spill	0.0607593
funding	0.0607168
insurance	0.0606648
importation	0.0606235
"ad campaign"	0.0605969
security	0.0605319
"face lift"	0.0602821
marketing	0.0602034
pullout	0.060166
payment	0.060078
"quality control"	0.0600557
interdiction	0.0598804
"job cut"	0.059794
"product development"	0.0597739
task	0.0597564
expense	0.0597409
checkup	0.0597123
procedure	0.0595067
logistics	0.0594696
emergency	0.0594313
undertaking	0.0594129
verification	0.0593694
safety	0.0592911
facility	0.0592709
"pilot program"	0.0592615
screening	0.0592339
disaster	0.0586755
outreach	0.0581894
revision	0.0581085
))
(clear (desc 1637.7) (sims
"frame of mind"	0.098408
snit	0.0811781
"good shape"	0.0794663
"good spirit"	0.0767437
doghouse	0.0674154
"line of fire"	0.0513726
quandary	0.0491653
"high spirits"	0.0467992
lather	0.0466266
"front room"	0.0461937
"hot seat"	0.0458819
ballgame	0.0441008
"jail cell"	0.0437681
Milbury	0.042735
"claiming race"	0.0426929
"Olympic Village"	0.0425105
"second grade"	0.041294
Post-Intelligencer	0.0411228
"eighth grade"	0.040851
laymen	0.0401123
))
(clear-cutting (desc 993.209) (sims
felling	0.162134
logging	0.13496
"more than @@@,@@@ hectares"	0.132144
"about @@@,@@@ acres"	0.130679
"more than @,@@@ hectares"	0.105662
"about @,@@@ acres"	0.0910944
"about @@@,@@@ hectares"	0.0889123
"About @@,@@@ hectares"	0.0790371
deforestation	0.0772315
pumping	0.0760538
CFCs	0.0756963
"more than @@@ hectares"	0.0739788
carrying	0.0736406
"Taiwan Independence"	0.0734171
using	0.0726159
harvesting	0.0703655
"more than @@,@@@ hectares"	0.0691548
vending	0.0687727
politicization	0.068036
"million acres"	0.0680032
overuse	0.0673714
thinning	0.0670829
"more than @@,@@@ acres"	0.0669431
"about @@,@@@ acres"	0.0667617
"over @,@@@ hectares"	0.065977
wastage	0.0652291
"short selling"	0.0633811
cloning	0.0629387
splittism	0.0620957
downloading	0.0618871
"fox hunting"	0.0606187
nationalization	0.0603149
misappropriation	0.0596166
"square mile"	0.0596159
separatism	0.0582818
fragmentation	0.0577383
"more than @,@@@ acres"	0.0577018
sending	0.0575591
torching	0.0570655
electioneering	0.0569625
"corporal punishment"	0.0566768
"more than @@@,@@@ acres"	0.056007
decriminalization	0.0556544
"change of mind"	0.0548372
"natural state"	0.0544789
bullishness	0.0542287
Posting	0.0538705
declassification	0.0536206
"about @@@ acres"	0.0535699
absinthe	0.0534882
consumerism	0.0531859
bodysuits	0.0531037
"more than one-fifth"	0.0530263
rollovers	0.0528506
shrinkage	0.0528091
secularism	0.052756
overproduction	0.0526074
sq.km	0.0510247
"breathing space"	0.0509035
Balkanization	0.0508499
stockpiling	0.0504509
pillaging	0.050414
militarization	0.0499634
overflights	0.0498851
ordination	0.0498695
materialism	0.0497481
legalization	0.0493634
renaming	0.0493322
"extracurricular activity"	0.049232
"economic value"	0.0490829
pruning	0.0486987
OD	0.0484229
murder-suicide	0.0477545
"solar radiation"	0.0476362
cross-pollination	0.0475194
licensing	0.0465923
irradiation	0.0465367
decontamination	0.046383
internationalization	0.0462893
vandalization	0.0458298
"quota system"	0.0457638
reintroduction	0.0457293
poaching	0.0452878
homophobia	0.0452206
criminality	0.0451445
"bank withdrawal"	0.045089
hedging	0.0449021
"European Union's"	0.0448679
hand-holding	0.0444494
Sulphur	0.0438728
watercraft	0.0437799
absolutes	0.0437294
completeness	0.0431533
inundation	0.0428191
importing	0.0427827
"Lost World"	0.0426733
nurturing	0.0425419
"elbow room"	0.0425149
minibuses	0.0424328
"commercial activity"	0.0423249
banditry	0.0421889
ranching	0.0419284
spraying	0.0418738
remarriage	0.0418664
rowdiness	0.0416611
intermarriage	0.0414879
"methyl bromide"	0.0410928
circumcision	0.0409997
"inheritance tax"	0.0409981
"economic theory"	0.0409209
reinvestment	0.0409168
dieting	0.0405285
fieldwork	0.0404481
"price support"	0.0403477
"face lift"	0.0403472
"direct action"	0.0402767
criminalization	0.0402116
))
(clearance (desc 28242.9) (sims
"security clearance"	0.146766
permission	0.138834
authorization	0.122369
approval	0.117966
certification	0.104752
permit	0.0967539
registration	0.089532
evaluation	0.0891833
accreditation	0.0854787
license	0.08534
clearing	0.0852863
visa	0.0844864
waiver	0.0839413
verification	0.0826093
reimbursement	0.0808642
removal	0.078838
maintenance	0.0787191
notification	0.0775364
licence	0.0769136
inspection	0.0756028
transfer	0.0754821
"work permit"	0.0751031
repatriation	0.0745051
transport	0.0736133
enforcement	0.0732007
detection	0.071986
exemption	0.0712008
documentation	0.0711621
rehabilitation	0.0707112
processing	0.0706559
identification	0.0705546
protection	0.0701592
naturalization	0.0700995
funding	0.0691841
paperwork	0.0690003
financing	0.0689966
consent	0.0686868
transportation	0.0685946
evacuation	0.0683724
"green light"	0.0679264
payment	0.0677981
access	0.0677912
procedure	0.066786
testing	0.0667845
assistance	0.0654078
asylum	0.0652011
"bill of health"	0.0651895
cleanup	0.0649029
resettlement	0.064816
repair	0.0647369
assurance	0.0645747
certificate	0.0643715
oversight	0.063989
surveillance	0.0639304
allocation	0.0634269
"power of attorney"	0.0632783
procurement	0.0631041
refund	0.0628189
clarification	0.062466
go-ahead	0.0623348
assessment	0.0623171
confirmation	0.0620918
citizenship	0.0619739
treatment	0.0617714
ratification	0.0616353
delivery	0.0615743
navigation	0.0614879
"medical care"	0.0614502
sanitation	0.0611495
eradication	0.060998
referral	0.0609197
relocation	0.0604943
storage	0.0604002
preparation	0.06022
training	0.0600145
appraisal	0.0597496
reconstruction	0.0594869
"first aid"	0.0594853
instruction	0.05939
communication	0.0589811
disarmament	0.0588027
application	0.0583896
distribution	0.0581528
management	0.0580648
quarantine	0.0580087
Promotion	0.0577942
amnesty	0.0577459
transmission	0.0577175
entry	0.0576956
scrutiny	0.0575156
renewal	0.0573323
dispensation	0.0571789
audit	0.0569942
examination	0.0569551
pardon	0.0568395
Implementation	0.0567118
leniency	0.056552
supervision	0.0564697
compensation	0.056427
accounting	0.0564079
"road construction"	0.0559819
adjustment	0.0556982
logistics	0.0555766
appropriation	0.0555469
construction	0.055363
authentication	0.0552171
afforestation	0.0550877
liquidation	0.0548517
directive	0.0546306
servicing	0.0546137
qualification	0.0544038
planning	0.054344
vaccination	0.0542611
data	0.0539598
Privatization	0.0539564
installation	0.0538386
withdrawal	0.0536588
"quality control"	0.0536227
discharge	0.0535774
diagnosis	0.0534738
recommendation	0.0534635
injunction	0.0532193
elimination	0.0531588
adoption	0.0531413
investigation	0.052996
concession	0.0529187
immunity	0.05264
regulation	0.0523581
employment	0.0522538
prevention	0.0522516
deployment	0.0521209
document	0.0521073
declassification	0.0521037
shipping	0.0520824
reduction	0.0520192
repayment	0.0518312
conservation	0.0518151
coordination	0.0518062
utilization	0.0516215
extension	0.0515991
abatement	0.0514961
classification	0.0514401
immunization	0.0513909
guidance	0.0513592
screening	0.0512597
"financial aid"	0.0511918
passport	0.0511897
privilege	0.0511801
disposal	0.0511389
restoration	0.0510979
admission	0.0510823
"vocational training"	0.050983
intelligence	0.0507581
parole	0.0506072
recognition	0.0505993
relief	0.050566
education	0.0505488
modification	0.0504065
facility	0.0502453
booking	0.0502237
taxation	0.0501922
security	0.0501459
irrigation	0.0501217
insurance	0.050062
diversion	0.0499882
reinstatement	0.0499643
intervention	0.0499282
warrant	0.0499224
handling	0.0499007
arrangement	0.0498379
Housing	0.0498117
standardization	0.0497726
issuance	0.0497355
"military training"	0.0495691
disbursement	0.0495678
shipment	0.0495147
"tax collection"	0.0494886
subsidy	0.0494643
backing	0.0494227
exploration	0.0493945
inquiry	0.0491292
infrastructure	0.0491175
mandate	0.0491128
counseling	0.0484582
cleaning	0.0484357
formality	0.048188
suspension	0.0481321
leasing	0.0481169
improvement	0.0480978
fee	0.0480777
membership	0.0479507
feedback	0.04786
care	0.0478599
"decision making"	0.0478184
quota	0.0477141
warning	0.0477094
retrieval	0.0476754
preservation	0.0476664
renovation	0.0476607
appointment	0.047607
))
(clearing (desc 20588.2) (sims
clearance	0.0852863
removal	0.0693232
planting	0.067794
leasing	0.0657516
logging	0.0631359
mining	0.0630983
reclamation	0.0609644
processing	0.0606219
cleaning	0.0605931
refining	0.0589459
construction	0.0583527
transportation	0.0582267
expropriation	0.0579624
distribution	0.0578237
warehousing	0.0573975
shipping	0.0572444
cleanup	0.0569338
Privatization	0.0561683
irrigation	0.0556281
reinsurance	0.0550216
preservation	0.0547846
enforcement	0.0546817
eradication	0.0543489
exploration	0.0541815
maintenance	0.053683
afforestation	0.0532234
mapping	0.0529158
resettlement	0.0526936
paving	0.0522373
cultivation	0.0521821
restoration	0.052078
storage	0.0518582
banking	0.0517126
infrastructure	0.0516968
conservation	0.0509645
manufacturing	0.0509152
rebuilding	0.0507284
forwarding	0.0504673
conversion	0.0502563
renovation	0.0497788
rehabilitation	0.0497544
cutting	0.0490342
financing	0.048733
extraction	0.0486266
purification	0.0486146
accounting	0.0485505
planning	0.0484431
liquidation	0.0481813
excavation	0.0478767
"data processing"	0.04786
surveillance	0.047707
sewerage	0.0476721
delivery	0.0476332
encampment	0.0472834
marketing	0.0471623
selling	0.047028
reconstruction	0.0469671
deforestation	0.0460124
inspection	0.0458077
conservancy	0.0456401
trading	0.0450973
procurement	0.0450741
Implementation	0.0450208
upgrading	0.0450079
detonation	0.0448697
retrieval	0.0447802
drilling	0.044672
exploitation	0.0446151
"real estate"	0.0442987
laying	0.0442442
storing	0.0442181
disposal	0.0442116
farming	0.0441736
adoption	0.0441392
stockpiling	0.0440399
evacuation	0.0439866
installation	0.0439631
Trucking	0.043871
deployment	0.04367
telecommunication	0.0436448
recovery	0.0434701
drainage	0.0433761
registration	0.0431572
taxation	0.0431572
reduction	0.0430719
logistics	0.0430555
recapitalization	0.0429259
"road construction"	0.0428619
confiscation	0.0428349
"back office"	0.0427913
contracting	0.0425661
"securities trading"	0.0424902
modernization	0.0424519
utilization	0.0424493
communication	0.0424001
appraisal	0.0423962
lending	0.0422744
reforestation	0.042221
agriculture	0.0421881
transaction	0.0421108
degradation	0.0421067
repatriation	0.0418378
heating	0.0417839
plantation	0.0417356
issuance	0.041689
"information technology"	0.0416427
examination	0.0415936
slashing	0.0413948
shipbuilding	0.0412463
sewer	0.0412233
dumping	0.0412197
accumulation	0.0411373
spraying	0.0410783
servicing	0.0410751
digging	0.0410304
insurance	0.0409655
"information system"	0.0408076
closure	0.0407498
ravine	0.0407186
relocation	0.0406942
integration	0.040654
repayment	0.0405376
banning	0.0404358
prevention	0.0403856
redevelopment	0.0403399
destruction	0.0403325
smuggling	0.0402987
reorganization	0.0402788
"high technology"	0.0402482
desertification	0.0402288
easing	0.0402285
forecasting	0.0401285
expanse	0.040071
catering	0.0400516
))
("clearing house" (desc 4016.78) (sims
clearinghouse	0.166801
databank	0.084483
"traffic cop"	0.0834936
"early warning system"	0.0823897
depository	0.080799
Hotlines	0.0789698
brokerage	0.0754805
"futures exchange"	0.0741613
repository	0.0720868
taskforce	0.0680401
"guardian angel"	0.0677231
"trading post"	0.0656982
"market maker"	0.0651995
"stock exchange"	0.0640339
"surveillance system"	0.0633498
"trading system"	0.0632071
"Publishers Clearing House"	0.0629909
"driving school"	0.0628877
"hot line"	0.0619678
"service agency"	0.06185
"command post"	0.0616838
"finance company"	0.0613482
"branch office"	0.060845
barter	0.0605402
"communications network"	0.0589375
"brokerage account"	0.0581676
"investment house"	0.0581216
"credit bureau"	0.0580863
"international criminal court"	0.0566257
"insurance firm"	0.055865
"first school"	0.0556796
"credit union"	0.0555895
"telephone exchange"	0.0553731
"insurance company"	0.0551159
middlemen	0.0550863
"lead underwriter"	0.0545261
"test equipment"	0.0542
conduit	0.0539561
guidepost	0.0536477
"reserve fund"	0.0530573
Secretariat	0.0529807
"brokerage firm"	0.0528296
middleman	0.0526848
"retail operation"	0.0525685
"investment adviser"	0.0524848
incubator	0.0524776
"African Union"	0.0522614
"Free Trade Area"	0.0520464
bureaus	0.0520151
notary	0.0520007
"investment fund"	0.0517327
"equity market"	0.0507562
"phone system"	0.0505493
switchboard	0.0503298
"order book"	0.0500161
protectorate	0.0499369
cannery	0.0496199
"securities market"	0.0496137
"brokerage house"	0.0492244
"African Economic Community"	0.0491869
"information provider"	0.0490599
sub-branches	0.0489748
"distribution network"	0.0489184
"sounding board"	0.0486522
ECA	0.0486415
Portal	0.0485673
recapitalization	0.0485151
intermediary	0.0482999
EPZ	0.0481569
"Joint Military Commission"	0.0481249
hotline	0.0479983
homepages	0.0477074
UNMOVIC	0.0476661
matchmaker	0.0476434
"safety valve"	0.0475385
"cash machine"	0.0473895
"data system"	0.0473648
node	0.0473515
"mainframe computer"	0.0472549
"banking company"	0.0469754
"Trojan Horse"	0.046871
"foster parent"	0.0467476
"distribution system"	0.0467084
PICC	0.0466666
"futures market"	0.0463383
"blood bank"	0.0461661
"regulatory agency"	0.0461204
"investment trust"	0.0460585
"bulletin board"	0.0459075
"development center"	0.0458701
"tax system"	0.0458074
watchdog	0.0457934
"monitoring program"	0.0456871
"gambling casino"	0.0455461
"power grid"	0.045452
"customs union"	0.0453605
"stock company"	0.0452176
"training school"	0.0451767
UNRWA	0.0451383
superhighway	0.0449789
G.M	0.0449306
"control board"	0.0448735
catharsis	0.0447807
"work group"	0.0447198
"charge card"	0.0447183
"Common Market for Eastern and Southern Africa"	0.0446879
debit	0.0446793
"working group"	0.0446454
"trust company"	0.0446248
reinsurance	0.0445364
chaperone	0.0443884
registry	0.0443332
"monetary system"	0.0440643
guarantor	0.0440565
stockbroker	0.0440422
"travel agency"	0.0439808
"Liberty Media"	0.0439555
arbitrator	0.0439496
"subsidiary company"	0.043922
"meeting place"	0.04385
gatekeeper	0.0438097
"insurance business"	0.0438069
"East African Cooperation"	0.0437348
"chain store"	0.0437274
"defense mechanism"	0.0434107
ephemera	0.043394
intranets	0.0433235
"sales outlet"	0.0431271
consortia	0.0429748
thrift	0.042793
"control center"	0.0427767
troubleshooter	0.042766
"spy satellite"	0.0427587
"non-governmental organizations"	0.0426217
"trial court"	0.042413
"stock trader"	0.04236
NCEC	0.042293
"health maintenance organization"	0.0420889
"research center"	0.0420783
Schott	0.0420568
"Roth IRAs"	0.0420494
"shipping company"	0.041956
"head office"	0.041944
"department store chain"	0.0419358
"insurance agent"	0.0417307
"aerospace giant"	0.0416897
"reference point"	0.0416431
"bus route"	0.0416038
wholesaler	0.0415557
fiefdom	0.0415507
"lingua franca"	0.0415159
bookseller	0.0414257
"computer network"	0.041361
"nerve center"	0.041357
automakers	0.0412885
"telephone company"	0.0412412
"private corporation"	0.0411992
firewall	0.0411066
triage	0.0410874
Ombudsman	0.0410685
"savings account"	0.040962
Filtration	0.0407885
"economic system"	0.0407691
"regulatory authority"	0.0407525
"endowment fund"	0.0407056
"W.W Norton"	0.0406686
"public utility"	0.0406665
Drugstore.com	0.0405832
"free zone"	0.0405644
bureaux	0.0405433
"public defender"	0.0405174
"filling station"	0.0404938
go-between	0.0404859
"fall guy"	0.0404062
spotter	0.0402712
"media property"	0.0401862
"Market system"	0.0401563
"criminal court"	0.0401513
PACs	0.0400661
"quality control"	0.0400099
))
(clearinghouse (desc 7668.87) (sims
"clearing house"	0.166801
databank	0.107512
repository	0.095613
"traffic cop"	0.0894158
"toy retailer"	0.0801924
depository	0.0787232
incubator	0.07359
conduit	0.0723567
"gambling casino"	0.0719158
Hotlines	0.0715695
"meeting place"	0.0707174
"consulting company"	0.0684269
database	0.0667994
"safety valve"	0.0666811
"hot line"	0.0665508
"information provider"	0.0665394
Portal	0.0664304
"think tank"	0.0649453
watchdog	0.0644325
"lightning rod"	0.0643809
"research center"	0.0623666
"early warning system"	0.0619907
"security consultant"	0.0605469
hotline	0.060526
"educational program"	0.0603803
"reference point"	0.0603604
"communications network"	0.0600891
"service agency"	0.0596321
registry	0.0596298
"information service"	0.0595285
Webmaster	0.0594352
"sounding board"	0.0586725
directory	0.0582896
"gathering place"	0.0578197
"order book"	0.0573616
hub	0.0571205
"trading post"	0.056671
"computer network"	0.0556126
"electronic database"	0.0551921
"bulletin board"	0.0547708
homepages	0.0546166
identifier	0.0546092
Gateway	0.0538818
gatekeeper	0.0537434
magnet	0.0533489
"guardian angel"	0.0532026
storehouse	0.0528659
"command post"	0.0524106
"publishing company"	0.0524049
"blood bank"	0.0523261
mouthpiece	0.05232
headquarters	0.0522906
Ombudsman	0.0522173
Website	0.051273
"trade association"	0.0511145
"Strategic Petroleum Reserve"	0.0509848
"seal of approval"	0.0509699
"information system"	0.0504626
"lingua franca"	0.0502369
Registrar	0.0501426
archive	0.0499513
"lead underwriter"	0.0499458
notary	0.0497181
"proving ground"	0.0494889
matchmaker	0.0494355
catharsis	0.0494144
consultancy	0.0492306
tutorial	0.049165
"surveillance system"	0.04897
troubleshooter	0.0488638
protectorate	0.0488101
homepage	0.0486775
arboretum	0.0486761
"toy store"	0.0483848
"service program"	0.0480451
"development center"	0.0474393
"rallying point"	0.0474279
"code of conduct"	0.0473016
"control center"	0.0472046
"cause celebre"	0.0471846
"Union of Concerned Scientists"	0.0471524
"monitoring program"	0.046855
"consulting firm"	0.046822
"phone system"	0.0465201
"line of products"	0.0465168
marketplace	0.0464989
"police state"	0.0464916
"delivery service"	0.0464815
"Kosovo Verification Mission"	0.0464394
"endowment fund"	0.0463282
"weather satellite"	0.0462644
middleman	0.0460159
"parlor game"	0.0458922
"opera company"	0.0458749
"employment agency"	0.0458688
insulator	0.0458079
"nonprofit organization"	0.0458009
password	0.0457011
"Trojan Horse"	0.0456786
"education program"	0.0456302
"benefit program"	0.0455786
"retail operation"	0.0455565
newsletter	0.0454849
"National Organization"	0.0454383
"nerve center"	0.0454157
"support system"	0.0452575
bellwether	0.045153
"broadcasting company"	0.0451393
"regulatory agency"	0.04507
intranet	0.0450027
"training program"	0.0448212
nexus	0.0447135
surrogate	0.0446922
roadmap	0.0442525
"distribution system"	0.0442401
torchbearer	0.0442298
ensign	0.044183
fiefdom	0.0441668
euphemism	0.0440836
"phone book"	0.0440037
backstop	0.0437201
go-between	0.0437192
daycare	0.0437029
"road map"	0.0436338
"science museum"	0.0436042
"reference book"	0.0435228
template	0.0434448
travelogue	0.0434347
opprobrium	0.0433152
checklist	0.0432927
"reserve fund"	0.0432901
disincentive	0.0432754
"social contract"	0.0432367
bazaar	0.0431672
absolution	0.043155
intermediary	0.0431393
"head count"	0.0430788
guidepost	0.0430707
"quid pro quo"	0.0430173
"test case"	0.0428393
guarantor	0.0427972
MP@.com	0.0426781
underwriter	0.0425552
"free port"	0.0425272
"business enterprise"	0.0424292
"community center"	0.0424204
"drug czar"	0.0424066
Encyclopedia	0.0423768
"Electronic Privacy Information Center"	0.0422654
websites	0.0421464
lockbox	0.0419607
"international criminal court"	0.0417957
ECN	0.0417534
"Human Genome Project"	0.0417263
shorthand	0.0416734
arbitrator	0.0416489
"focal point"	0.0413418
catalyst	0.0412139
kiosk	0.0410729
touchstone	0.0410409
backbone	0.0410004
"training school"	0.0409256
"public defender"	0.0409077
dissemination	0.0408668
proxy	0.0407995
"African Union"	0.0406533
counterweight	0.0405484
paradigm	0.0405155
"distribution network"	0.0404945
router	0.0404757
primer	0.0404737
auctioneer	0.0403751
"holding company"	0.0403644
intermediate	0.0403386
solicitation	0.0401505
"political movement"	0.0401346
liaison	0.0401218
haven	0.0400839
))
(Clearwater (desc 2998.33) (sims
"Boynton Beach"	0.136476
"Fort Myers"	0.133265
"Delray Beach"	0.132366
"Port St. Lucie"	0.130182
Bradenton	0.127578
"Palm Beach Gardens"	0.125873
"Boca Raton"	0.120946
"Fort Lauderdale"	0.11799
Kissimmee	0.115341
Tampa	0.109561
Dunedin	0.10887
"Lake Worth"	0.10793
Sarasota	0.107751
Pensacola	0.105432
TALLAHASSEE	0.104207
"Dade County"	0.103115
"Coral Gables"	0.102403
"Newport Beach"	0.101407
"Palm Beach"	0.0974873
Hialeah	0.095044
"East Orange"	0.0934273
"Panama City"	0.0896175
Missoula	0.0896043
"Key West"	0.089213
"Daytona Beach"	0.0888829
Englewood	0.0887355
"Palm Beach County"	0.0863935
Orlando	0.0861209
"Miami Beach"	0.0859459
Naples	0.0858944
"West Palm Beach"	0.0848246
"Vero Beach"	0.0847461
"Broward County"	0.084608
"Egyptian capital"	0.0845335
Greenville	0.0839224
Davie	0.0835881
"Grand Rapids"	0.0830766
BRIGHTON	0.0813204
Dubuque	0.0800951
"South San Francisco"	0.0795173
Middletown	0.07941
Lakeland	0.0787622
Gainesville	0.0781551
"White Plains"	0.0779731
Westport	0.0778436
Carlsbad	0.077595
"Fort Lee"	0.0774738
"Santa Rosa"	0.0772603
Peoria	0.076552
Lenexa	0.0764047
Burlingame	0.0756742
"Montgomery County"	0.075412
Wichita	0.0750993
Reston	0.0750921
"St. Petersburg"	0.074833
"Mill Valley"	0.0748294
"West Orange"	0.0745238
Youngstown	0.0744659
Sausalito	0.0733147
Claremont	0.0732891
Petersburg	0.0729317
"Santa Monica"	0.0728362
"Hollywood Hills"	0.0723916
"Colorado Springs"	0.0723656
Carmel	0.0723218
Vilnius	0.072318
Stamford	0.0722051
Bergen	0.0720805
Venice	0.0713231
Alpharetta	0.0712919
"Fort Collins"	0.0711488
Utica	0.0710219
Herndon	0.0709366
"Gaza City"	0.0708311
Quincy	0.0705441
ASHEVILLE	0.0703592
Scranton	0.0702697
"San Luis Obispo"	0.0696021
Bloomington	0.0692333
Burlington	0.0692092
"Silver Spring"	0.0692077
Burbank	0.0690467
Deerfield	0.0689536
Ithaca	0.0688358
"Santa Barbara"	0.0687363
"La Jolla"	0.068668
Chattanooga	0.0681788
"Banja Luka"	0.0681383
Texarkana	0.0680488
Eureka	0.0677657
Waltham	0.0677044
"Des Moines"	0.0672904
Morristown	0.0672214
Farmington	0.066986
LAKEWOOD	0.0668522
Rochester	0.0667638
Needham	0.0664246
Nashua	0.0664034
Charlotte	0.0662689
Marjayoun	0.0661425
Lansing	0.0660863
Ensenada	0.0659937
"San Mateo"	0.0659487
Fresno	0.0656688
"New Canaan"	0.0655066
Tucson	0.065359
Mesa	0.065188
Suwanee	0.0650616
Harrisburg	0.0650559
Fayetteville	0.0649859
Cyberjaya	0.0647597
Boise	0.0646015
Mannheim	0.064513
"Corpus Christi"	0.0645124
"Albanian capital"	0.064464
Bloomfield	0.0644321
Portsmouth	0.0643735
"St. Augustine"	0.0639185
Jacksonville	0.0636915
TRENTON	0.0636879
Guadalajara	0.0634324
Dearborn	0.0631535
Emeryville	0.0629063
Yonkers	0.0629028
Redding	0.0628971
Charleston	0.0628275
Bridgehampton	0.0628229
Brownsville	0.0627761
Honolulu	0.0627642
Roanoke	0.0619584
Greensboro	0.061914
Eugene	0.0618
Saginaw	0.0616354
Framingham	0.0616233
"New London"	0.0615647
Charlottesville	0.0614906
riverside	0.0614751
Memphis	0.0613279
Medford	0.0612985
"Sun City"	0.0612157
Wilmington	0.0609918
Spokane	0.0609542
Jupiter	0.0609124
"San Marcos"	0.0605978
Concord	0.0605977
"Cape Canaveral"	0.0605866
"Culver City"	0.060231
"Baton Rouge"	0.0600209
Murmansk	0.0598975
"Santa Cruz"	0.0597288
"Sussex County"	0.0596565
"Westchester County"	0.0596368
Dushanbe	0.0596091
"Mountain View"	0.0595901
Norwalk	0.0594249
Winston-Salem	0.0592292
"Redwood City"	0.059121
"Overland Park"	0.0590231
"Thousand Oaks"	0.0589078
Goteborg	0.0588891
Macon	0.0588789
Minneapolis	0.0586551
Glendale	0.058474
"Ann Arbor"	0.058385
"Rockland County"	0.0582403
Raleigh	0.058151
Wellington	0.0579221
"South Bend"	0.0574679
Thomasville	0.0574616
Bethesda	0.0573824
Americus	0.0573721
Alameda	0.0573256
Lexington	0.0573099
"Menlo Park"	0.0572385
Windhoek	0.0571253
Nacogdoches	0.0570623
"Orange County"	0.0570405
"Ho Chi Minh City"	0.0569591
"Cherry Hill"	0.0568487
Greenwich	0.0568278
"Key Biscayne"	0.0567479
Newark	0.056649
Fairfax	0.0565542
Columbus	0.0564729
"Cobb County"	0.056463
Hartford	0.0563917
Valparaiso	0.0563862
"Santa Ana"	0.0563669
"Palm Springs"	0.056323
Chatham	0.0562784
Shreveport	0.0562287
Tempe	0.0561973
Camden	0.0560944
Salzburg	0.0559831
Tacoma	0.0559346
"El Paso"	0.0557908
"Union City"	0.0557334
"New Haven"	0.0556967
Manchester	0.0555855
"South Florida"	0.0553755
))
(Cleary (desc 626.517) (sims
Rivlin	0.1919
Sheehy	0.173122
Kurtz	0.170001
Hecht	0.168808
Menchu	0.167776
Jaffe	0.153139
Hamlin	0.14816
Tuttle	0.146322
Kurth	0.146107
Bragg	0.14472
LeFave	0.141511
Gutman	0.14013
Grunwald	0.13733
Schafer	0.136822
Mapes	0.133
Molinari	0.132928
Blum	0.132501
Lurie	0.131777
Hirsch	0.131368
Ashrawi	0.130133
Fiorina	0.128892
Kagalovsky	0.128734
Myhrvold	0.128512
Mullen	0.125183
Sobel	0.124782
Baum	0.124185
Greenwald	0.122795
Fink	0.122524
Garber	0.121943
Brazile	0.121416
Wasserstein	0.121382
Healy	0.121381
Gallagher	0.121154
Hickman	0.120778
Lockwood	0.12025
Arron	0.119581
Henley	0.119256
Shulman	0.118985
Mckee	0.118898
Lovett	0.118764
Donnelly	0.118553
Cline	0.118441
Patten	0.118212
Knapp	0.118101
Rosenbaum	0.117498
Northup	0.117227
Hersh	0.116821
Ziegler	0.116795
Arbour	0.115552
Qureshi	0.11491
Joklik	0.11435
Meissner	0.114312
McDonnell	0.114209
Seligman	0.1139
Alioto	0.113325
McIntyre	0.113286
Lange	0.113228
Roberson	0.113126
Ricci	0.112621
Swenson	0.111799
Weil	0.111682
Briscoe	0.111604
Pearce	0.111366
Lundberg	0.110611
Sorensen	0.110404
Kirkpatrick	0.110172
Huffington	0.109825
Hartley	0.109786
Rosenthal	0.109264
Ruthardt	0.109245
Mitnick	0.109147
Tevanian	0.109021
Markovic	0.108624
Dowd	0.108253
Advani	0.108219
Kingsley	0.108052
Rutherford	0.107399
COYNE	0.107258
"Patsy Ramsey"	0.107088
Mucha	0.106947
Grossberg	0.10656
Hauser	0.106457
Barrett	0.106294
Verney	0.106291
Ono	0.106159
Lipstadt	0.105456
Maharaj	0.105276
Farber	0.105199
Harris-Lewis	0.104991
Eizenstat	0.104928
Waxman	0.104773
Bushnell	0.104671
Gaffney	0.104481
"De Klerk"	0.104479
Pape	0.104432
Jeffers	0.104357
Ruehe	0.104348
Barlow	0.104195
Adler	0.103912
Lerner	0.103881
O'Sullivan	0.103864
Goldin	0.103806
Oliveira	0.1033
Rubenstein	0.103243
Nilsson	0.102622
McLaughlin	0.102517
Orton	0.102493
McFadden	0.102329
Lowry	0.101795
Ingraham	0.101283
Moscoso	0.101124
Pierson	0.100578
McConnell	0.100209
Vasquez	0.100005
McMillan	0.0998656
Moran	0.0997587
Fassett	0.0996153
Silverstein	0.0994517
Halberstam	0.0992234
"Marianne Gingrich"	0.0989531
Wenger	0.0989273
Godfrey	0.0988077
Hatfield	0.0984596
Hiett	0.0979121
Rowling	0.0979082
Albrecht	0.0978802
Sommer	0.0977794
Zuckerman	0.0977162
Allchin	0.0976598
Robison	0.097636
Edson	0.0974839
"Bill Lockyer"	0.0971796
McGill	0.097136
Feldman	0.0971311
Suarez	0.0970535
Mei	0.0968561
Ritter	0.0968376
Blumenthal	0.0967997
Madden	0.0966671
Morley	0.0966383
Tharp	0.096579
Sutherland	0.0965453
Ackerman	0.0965176
Vogel	0.0962352
hodgson	0.0961532
Barksdale	0.0961409
Reiter	0.0958902
Berenson	0.0955693
O'Connell	0.0955331
Stephenson	0.09548
Jovanovic	0.0952987
Wiggins	0.0952755
Barshefsky	0.0952573
"McCaughey Ross"	0.0950904
Betts	0.0949303
MacKay	0.0948981
Bruton	0.0948673
Corcoran	0.0947724
Snowe	0.0946932
Conley	0.0946873
Hahn	0.0946313
Cianci	0.0946221
Reilly	0.0946171
Copeland	0.0945223
Scruggs	0.0945135
Donohue	0.0941328
Neal	0.0939662
Duvall	0.0939416
Garvey	0.0939276
Marchand	0.0938236
Biden	0.0935892
Flockhart	0.0931737
Garofalo	0.092968
Musa	0.0928289
Postol	0.0927847
Rowley	0.092611
Paciello	0.0925685
Stacy	0.0925647
Muller	0.0924309
Berman	0.0923829
Rosen	0.0921333
Mcbride	0.0920805
Hurley	0.0918074
Mahoney	0.0917302
Swanson	0.091688
Yastrzhembsky	0.0915175
Paulson	0.0915045
Bradshaw	0.0913693
Brenner	0.0913533
Gutierrez	0.0913172
Higgins	0.091187
Quintero	0.0910857
"Al Fayed"	0.09101
Carlin	0.090994
Natale	0.0909139
Waugh	0.0908753
Tate	0.0906268
Janssen	0.0904687
Conroy	0.0904499
Nickerson	0.0903195
))
(cleat (desc 5211.99) (sims
"shoulder pad"	0.152796
"tennis shoe"	0.120338
sneaker	0.118101
undershirt	0.109165
"boxing glove"	0.106563
sock	0.104511
boot	0.100893
windbreaker	0.0995003
"running shoe"	0.0972922
shoe	0.0951668
"baseball cap"	0.09084
helmet	0.0888261
"bulletproof vest"	0.0881953
"sweat pants"	0.0877814
"rubber boot"	0.0873005
jersey	0.087153
glove	0.0858783
"face mask"	0.0858559
sandal	0.0852841
spike	0.0852271
sweatshirt	0.0834752
wristband	0.0834187
skates	0.0809379
knickers	0.0806434
loafer	0.0802568
sunglasses	0.0796383
"cowboy boot"	0.0795973
pant	0.0794841
"blue jean"	0.0791277
"dress shirt"	0.0772027
headband	0.0769304
hat	0.0759605
tights	0.0743718
bandanna	0.0741361
loincloth	0.0735907
bandana	0.0731456
underpants	0.0719291
"leather jacket"	0.0717763
shirt	0.0717417
"roller skate"	0.0716237
mitten	0.0708896
trouser	0.0705547
goggles	0.0690551
armband	0.0690171
"bow tie"	0.0686466
"combat boot"	0.0682564
"ski mask"	0.0673744
jacket	0.0673278
slipper	0.067244
"life jacket"	0.0671456
flip-flop	0.0670673
visor	0.0667528
"straw hat"	0.0664641
pajama	0.0662161
"cowboy hat"	0.0654725
"body armor"	0.0653715
hose	0.0652444
apron	0.0637502
"stiletto heel"	0.0632104
"bathing suit"	0.0631155
beret	0.0631037
girdle	0.062879
mitt	0.0624372
pantyhose	0.0622267
paw	0.0622145
vest	0.0617901
parka	0.061178
underwear	0.0608864
"soccer ball"	0.0607217
pullover	0.0600194
"golf bag"	0.0597681
"baseball card"	0.0597642
slack	0.059345
jumpsuit	0.0582591
jean	0.0575648
"life preserver"	0.0575519
"top hat"	0.0574374
"foul ball"	0.0573493
"polo shirt"	0.0569294
claw	0.0566343
sweater	0.0566187
"feather boa"	0.0562161
blinder	0.0559606
wader	0.0557907
overcoat	0.0556017
legging	0.0550286
snowshoes	0.0545634
yarmulke	0.0545614
"sport shirt"	0.0544972
smock	0.054428
blinker	0.0543568
gloves	0.0541925
stiletto	0.0537893
shoelace	0.0537854
chiffon	0.0535921
suspender	0.0535648
backpack	0.0534271
"name tag"	0.0534199
bra	0.0533842
"business suit"	0.0533542
turban	0.053157
joysticks	0.0531053
garb	0.0530312
bluejeans	0.0529268
earring	0.0526736
fedora	0.0526631
metronome	0.0525455
"grocery bag"	0.0522456
getup	0.0520529
"oxygen mask"	0.051935
hosiery	0.0519031
"life vest"	0.0517792
scarf	0.0517167
halter	0.0515433
headgear	0.0515141
necktie	0.0509957
tubing	0.0509681
khaki	0.0509472
"hard hat"	0.050435
pencil	0.0503802
racket	0.0501693
turtleneck	0.0500722
"cocktail dress"	0.0500241
Chino	0.0499484
"pants suit"	0.0499009
"tape measure"	0.0498636
racquet	0.0498633
swimsuit	0.0493563
"tennis ball"	0.0492194
eyeglass	0.0490554
stocking	0.0488441
"duffel bag"	0.0487215
"tote bag"	0.0487159
Speedo	0.0487042
coverall	0.0486707
"dark glasses"	0.0486293
knapsack	0.0484502
handkerchief	0.0482472
shorts	0.048227
pants	0.0480593
tunic	0.0480043
"baseball bat"	0.0479838
headphone	0.0478534
pug	0.0478268
muffler	0.0477498
sarong	0.0476326
spinnaker	0.0476158
leotards	0.0474205
padding	0.0471688
oar	0.0467826
goatee	0.0465787
blazer	0.0465707
bustier	0.0465102
swoosh	0.0462058
"man's body"	0.0460933
ascot	0.0460849
dreadlocks	0.0459317
sportswear	0.0457716
waistcoat	0.0452919
camouflage	0.0450577
STETSON	0.0449958
cutoffs	0.0449568
vestment	0.0449135
prong	0.0445644
bloomers	0.0445585
veil	0.0445133
Thong	0.0444557
"neutron star"	0.0443977
"crew cut"	0.0442884
Sari	0.0442645
Legos	0.0442486
"slip of paper"	0.0441474
"folding chair"	0.0437739
handcuffs	0.0437523
weevil	0.0434295
"about @@ meters"	0.0434163
"dress uniform"	0.0434074
bellbottoms	0.0433339
skullcap	0.0430557
"bowler hat"	0.0430554
caftan	0.0427064
Sash	0.0425778
suitcase	0.0423171
badge	0.0422974
tuxedo	0.0422708
panty	0.0422348
"Windrell Hayes"	0.0422146
toupee	0.0420531
tux	0.0419622
"trench coat"	0.0418738
pail	0.0418391
Poncho	0.0416843
Gash	0.0416351
"mink coat"	0.041633
trousers	0.0415822
waistband	0.0415074
smooch	0.0414568
tricycle	0.0414405
towel	0.0413401
"hockey stick"	0.0413291
))
(cleavage (desc 4200.51) (sims
"elbow room"	0.0813044
"nose ring"	0.079905
fissure	0.0761766
"Great Divide"	0.069921
"fault line"	0.0693613
schism	0.0669762
midriff	0.0651124
divergence	0.0601952
waistline	0.0592933
hairdo	0.0591482
inequity	0.0566349
PIERCINGS	0.0555943
crosscurrent	0.0551599
eyeliner	0.0542595
overlap	0.0539951
chasm	0.0533894
"free time"	0.0533205
dissension	0.0528668
rift	0.0524784
wattage	0.0519154
inequality	0.0507469
divisiveness	0.0506511
cross-fertilization	0.0505298
slit	0.0500191
"breathing room"	0.0491438
manhole	0.0485113
genital	0.0482961
pelvis	0.048105
wart	0.0480168
bosom	0.0471355
Leeway	0.0470072
"natural ability"	0.0463998
commonality	0.046388
dimple	0.046372
lipstick	0.0459529
derriere	0.0458783
"spare time"	0.045378
disparity	0.0452032
polarization	0.0450936
"difference of opinion"	0.0450179
spunk	0.0449872
braid	0.0445613
empathy	0.044509
"bad blood"	0.0440053
shyness	0.0439786
resonance	0.0436639
hairstyle	0.043575
undergarment	0.0434712
variability	0.0433999
ferment	0.0429723
biceps	0.0429387
Swimwear	0.0428424
nudity	0.0428065
nervousness	0.042671
friction	0.0423863
disunity	0.0422157
torso	0.041877
vulnerability	0.0418357
wallflower	0.0417974
pluralism	0.041523
gumption	0.041501
"dividing line"	0.0410498
"foot traffic"	0.0409801
navel	0.0409657
dreadlocks	0.0408944
earring	0.0407114
"center of gravity"	0.0407064
hesitancy	0.0406451
guesswork	0.0404312
stratum	0.0403797
))
(Cleaver (desc 1964.62) (sims
"paring knife"	0.104435
screwdriver	0.100243
bayonet	0.0890138
sickle	0.0880446
"razor blade"	0.0871964
machete	0.0850061
grater	0.084428
"cutting board"	0.0834233
"baseball bat"	0.0830491
scissors	0.0810942
peeler	0.079194
hatchet	0.0780614
mallet	0.077078
pitchfork	0.0760695
McAllister	0.075494
Naumann	0.0750332
Pustovoitenko	0.0743368
ax	0.0728647
Knapp	0.0724025
Bruton	0.0709694
Bingham	0.0702332
tweezer	0.0701285
Klestil	0.0695106
Fieger	0.0688041
"walking stick"	0.0687858
flamethrower	0.0683506
spear	0.0683076
spatula	0.0678215
Meguid	0.0674202
Bidwill	0.0654213
pressman	0.0643202
Algonquin	0.0642518
Cianci	0.064156
Rong	0.063337
Snipes	0.0625326
Klima	0.0614405
Luong	0.061398
Kraus	0.0612841
Tella	0.0609746
"belt buckle"	0.0603837
"rocket fuel"	0.0596205
cudgel	0.0593705
Ikimi	0.0589213
truncheon	0.0582394
pliers	0.0577243
Skiles	0.0576921
McCurry	0.0573054
O'Malley	0.057253
Koskinen	0.0571778
"Chief Executive Tung Chee-hwa"	0.0570946
Gutman	0.0568906
paintbrush	0.0561043
Pearce	0.0557949
Choate	0.0557113
Villanueva	0.0550658
Jayakumar	0.0547976
Gosper	0.054724
Vialli	0.054654
chopstick	0.0546253
"Michael Peca"	0.0545699
Siazon	0.0545664
Spence	0.0544734
spokespeople	0.0539966
silencer	0.0539889
revolver	0.0538267
Lockyer	0.0538128
Biggs	0.0537438
Bonanno	0.0536826
Scalfaro	0.0536414
palladium	0.0535271
Sumaye	0.0530201
Hybl	0.0527287
Ruggiero	0.0525253
cannister	0.0524699
Yosef	0.0524604
Stroyev	0.0524598
Finkel	0.0521466
Menchu	0.0521273
Krugman	0.0518996
crowbar	0.0518287
Muluzi	0.0518025
Slocum	0.0517907
Wald	0.0517818
pickax	0.0516263
"hypodermic needle"	0.0515554
Macfarlane	0.0514751
three-inch	0.051418
Ibarra	0.0513573
Aquino	0.0511234
pillowcase	0.0509545
Seligman	0.0509343
Erving	0.0509259
Buzek	0.0508485
Kasoulides	0.0507979
"rolling pin"	0.0507567
Rosenberg	0.0507315
Ruehe	0.0507191
Ingalls	0.0506882
mini-camp	0.0505771
Prewitt	0.0504185
Newhouse	0.0502754
Jorgensen	0.0502514
"grocery bag"	0.0502269
"Secretary General Esmat Abdul-Meguid"	0.0501628
Gillick	0.0500559
Leung	0.0500322
McCaffrey	0.0497797
gavel	0.0496821
"putty knife"	0.0495652
walkie-talkie	0.0495065
Luo	0.0494366
dagger	0.0494291
Meeks	0.0490897
Meissner	0.04908
Cheever	0.0487952
Ruthardt	0.0487952
paella	0.0487607
"administration official"	0.0484387
Moonves	0.0482433
"Russian Defense Ministry"	0.0482265
Barksdale	0.0482247
machineguns	0.0481933
"water filter"	0.048156
"Israeli Foreign Ministry"	0.0480724
Connell	0.0480108
blender	0.047965
Symington	0.0478726
Riady	0.047849
Rawabdeh	0.0478389
Gaston	0.0476946
Gilligan	0.04767
nightstick	0.0476695
"hockey stick"	0.0476688
Lyman	0.0475101
Demaci	0.0471395
"skid row"	0.0471225
Zeng	0.0471164
Baucus	0.0470694
Schmalensee	0.0470537
Gormley	0.0470466
Pangalos	0.0469929
Glickman	0.0469794
"Florida Straits"	0.0469537
"frying pan"	0.0469093
Bolger	0.0468964
Wasserman	0.0467829
PPI	0.0467635
Kerasiotes	0.0467624
humanism	0.0466342
Bettman	0.0465965
Silas	0.0465941
Eizenstat	0.0465052
Kirkpatrick	0.0464795
Allchin	0.0464374
Azizah	0.0464295
McDonnell	0.0464115
Rollins	0.0463643
Mackey	0.0461578
"yellow light"	0.0461491
ROMNEY	0.0461282
Alatas	0.0460991
"Pascoal Mocumbi"	0.0460025
"fire hose"	0.0459679
"exhaust system"	0.0458624
Bessette	0.0457496
Granic	0.045649
Boueiz	0.0456155
Harris-Lewis	0.0455647
Kessler	0.0454771
Izetbegovic	0.0454132
"Cambodian King Norodom Sihanouk"	0.045368
Rosen	0.0453449
Calloway	0.0453223
Byers	0.0453035
Lipponen	0.0451457
LeBlanc	0.0451339
Westin	0.0450287
Jovanovic	0.0449716
Chao	0.0449666
Leavitt	0.0449015
Dinkins	0.0448546
Willard	0.0448012
Soyinka	0.0447661
Gorbachev	0.0447008
Brock	0.0447001
Hamlin	0.0446909
Burgess	0.0446094
Pryor	0.0446074
flashlight	0.0445919
arrowhead	0.0445023
tongs	0.0444963
Soong	0.0444687
"whipping cream"	0.0443526
"rib cage"	0.0442786
Samuelson	0.0442375
Safir	0.0442085
"hand grenade"	0.0441505
Sassa	0.0440227
Hess	0.0440216
Bezos	0.0440177
))
(Cleaves (desc 5027.23) (sims
"Mateen Cleaves"	0.164671
El-Amin	0.129015
"Morris Peterson"	0.10836
Kidd	0.105611
"Khalid El-Amin"	0.103242
McKnight	0.0976716
Redd	0.0958851
Lobo	0.0926963
Stoudamire	0.0924102
"Eric Snow"	0.0918163
Cassell	0.0913931
MARBURY	0.0908175
Hardaway	0.0905795
"Erick Barkley"	0.0904068
Sabonis	0.0885824
Scalabrine	0.0883876
Holdsclaw	0.088358
"Derek Fisher"	0.0883336
Glover	0.0881104
WARRICK	0.0877157
Brunell	0.08727
Francis	0.0865812
Bryant	0.0858256
Olajuwon	0.0855172
Barkley	0.0852119
Pippen	0.0849166
McNabb	0.0849062
Weinke	0.0847721
"Trajan Langdon"	0.0844551
Blaylock	0.0842851
Alou	0.0842782
"Matt Santangelo"	0.0838236
Kitna	0.0832822
Chrebet	0.0828824
"Teresa Weatherspoon"	0.0827531
"Ricky Moore"	0.0824428
"Van Horn"	0.0818592
Langdon	0.0817483
Swoopes	0.081282
Bibby	0.0805909
"Charlie Ward"	0.0802607
"Kim Perrot"	0.0802243
Fiset	0.0800815
Modano	0.08008
Kittles	0.0797658
Sehorn	0.0796015
Fizer	0.0792736
Chmura	0.0790226
Lindros	0.0786778
Stackhouse	0.0786516
Artest	0.0782625
Akers	0.0782358
Burke	0.0777163
Elliott	0.0774589
Aikman	0.077253
granger	0.0763473
Testaverde	0.0762998
Chastain	0.0760565
Avery	0.0759467
Roenick	0.0754407
Szczerbiak	0.0754141
Ewing	0.0753323
Fleury	0.0750967
Gadzuric	0.0746467
Kapono	0.0743687
Harbaugh	0.0740936
Sykora	0.0740291
Trepagnier	0.0737944
Hamilton	0.0735529
Odom	0.073341
Etcheverry	0.0733324
Milbrett	0.0730973
Malone	0.0730947
STALEY	0.0730519
White-McCarty	0.0728171
Iverson	0.0724255
"Chris Childs"	0.0721039
McNown	0.0718641
"Jason Kidd"	0.0717546
"Jason Williams"	0.0717101
Grbac	0.0717033
Ince	0.0714951
"Avery Johnson"	0.0712517
Holloway	0.071123
"Allan Houston"	0.0710483
"Mike Bibby"	0.0709255
Hasek	0.0708997
"Van Raaphorst"	0.0708522
"Larry Johnson"	0.0708195
Faulk	0.0707485
Segui	0.0706284
Gillom	0.0705911
"Chris Chandler"	0.0703771
Payton	0.0702391
Jagr	0.0702004
Cummings	0.070135
Chandler	0.0701338
Hornacek	0.0700245
Langenbrunner	0.0700007
"Derek Anderson"	0.0699342
Sprewell	0.0697908
Jonsson	0.0696843
Mariucci	0.0696341
Garnett	0.0695982
Kluivert	0.0694329
"Kobe Bryant"	0.0692669
Grossberg	0.0692
Alford	0.0690959
Gossage	0.0690721
Matthaeus	0.0687845
Raines	0.0687614
Perrot	0.0687573
Kukoc	0.0683513
"Van Exel"	0.0681271
"Reggie Miller"	0.0681267
Ronaldo	0.0681087
"Jalen Rose"	0.0681081
duncan	0.06808
"Kenny Anderson"	0.0677947
Andreychuk	0.0677904
Bergkamp	0.0676196
Swann	0.0675919
Olowokandi	0.0675683
Romario	0.0675521
"Mookie Blaylock"	0.0675366
Vick	0.0675062
Muckler	0.0674813
Mihm	0.0674609
Mathis	0.0674397
"Mark Jackson"	0.0673787
Bledsoe	0.067284
McLaughlin	0.0671692
Stumpel	0.0670675
Robitaille	0.0670107
Mashburn	0.0669475
Huard	0.0666775
Mobley	0.066658
Brister	0.0666215
Moore	0.0663836
Peca	0.0662406
"Tim Hardaway"	0.0660323
"Scoonie Penn"	0.0660197
"Rick Fox"	0.0659104
Irvin	0.0658572
Briere	0.0658359
"John Stockton"	0.0658192
"Marcus Camby"	0.0657679
Samuelsson	0.065748
O'Neal	0.065707
Gervin	0.0655529
Lopez	0.0654423
"Baron Davis"	0.0653531
Childs	0.0653062
"Jason Terry"	0.0652125
Kariya	0.0651498
Paus	0.0651032
"William Avery"	0.0650277
Favre	0.0648788
Sasser	0.0648429
Anderson	0.0647988
Lafleur	0.0647272
"Ron Artest"	0.0647128
"Steve Kerr"	0.0646565
McGinest	0.0646462
"Travis Best"	0.0645662
Ordonez	0.064552
Guthridge	0.0645468
Meares	0.0643941
DeShields	0.0642972
Camby	0.0641427
Zidane	0.064103
Skiles	0.06398
"Damon Stoudamire"	0.0639447
Lieberthal	0.0639279
Stockton	0.0639273
"Gary Payton"	0.0638425
Smits	0.0638343
DeBerg	0.0636236
Sanders	0.0635721
Peterson	0.0635007
"Jeff Hornacek"	0.0633123
Plummer	0.0633055
"Allen Iverson"	0.0628936
Welton	0.0628355
DiSarcina	0.0627662
Yzerman	0.0627659
Voskuhl	0.0626937
Mason	0.0625946
Finley	0.0624084
"Darrell Armstrong"	0.0622857
Sharpe	0.0622595
Manning	0.0621952
Hatcher	0.0619809
Biggio	0.061853
Caminiti	0.0618493
"Andre Miller"	0.0618337
Croshere	0.0618299
"Del Piero"	0.0618298
"Stephon Marbury"	0.0617663
Mcbride	0.061533
))
(Cleese (desc 693.283) (sims
Margolis	0.132557
Pryor	0.120675
LeBlanc	0.115871
Braugher	0.114966
Rodionov	0.110842
"Cindy McCain"	0.109625
Paxton	0.109468
Chappell	0.10767
Meguid	0.105756
"Robert Duvall"	0.102311
Lipponen	0.101071
Sheehy	0.100549
McCormack	0.100183
Bruton	0.0988781
Gooding	0.0987264
Ciampi	0.0983265
Sheedy	0.0966462
Broderick	0.0965174
Krugman	0.0962687
McCombs	0.0961263
Lockwood	0.0941189
Reiner	0.0939358
Grammer	0.0931852
Pearce	0.0923857
Biden	0.0923595
Kasoulides	0.0920585
Aoki	0.0915997
Titov	0.0915321
Baugh	0.0914145
Jaffe	0.0913706
Yoakam	0.0908401
Halloran	0.0906793
Rudenstine	0.0896527
"Albert Brooks"	0.089627
Cleary	0.0894379
Mohr	0.0892593
Quintero	0.0891922
"Sally Field"	0.0888226
Deneuve	0.0883198
Halberstam	0.0882812
Winkler	0.0881445
Rifkind	0.0871717
Andreessen	0.0867368
Bloch	0.0866637
Alexie	0.0863223
"Jeff Bridges"	0.0863111
"Jamie Foxx"	0.0862862
Duchovny	0.0860206
"De Soto"	0.0859133
Connery	0.0857867
Streep	0.0852046
Yadav	0.0850018
Weil	0.084604
Maher	0.0840425
Sandler	0.0834897
Severino	0.0830089
Ulrich	0.082812
Hirsch	0.0828005
"Catherine Deneuve"	0.0824704
Gallinger	0.0822076
"Jessica Lange"	0.082181
"de Charette"	0.0820525
Cooley	0.0820432
Komura	0.0818518
Gielgud	0.081779
Midler	0.0817633
Shatner	0.0815213
Stoyanov	0.0814918
Fassett	0.0814606
Ono	0.0812592
"Kate Winslet"	0.0811668
Diggs	0.0809215
Dion	0.0806504
Wildhorn	0.0806362
Fernandes	0.0805596
Betts	0.080434
Jeffers	0.0803383
Stacy	0.0801834
Moratinos	0.0799367
Kurtz	0.0798782
Hobson	0.0797813
"Wesley Snipes"	0.079594
"Julie Andrews"	0.0795025
"Michael Douglas"	0.0794341
gilder	0.0792247
Brosnan	0.0791909
Longo	0.0791249
"Lee Hsien Loong"	0.079082
Crocker	0.0790046
Heche	0.0784897
Schiff	0.0780286
Venables	0.0780056
Rankin	0.0778841
"Burt Lancaster"	0.0778398
DeGeneres	0.077663
"Richard Dreyfuss"	0.0776617
Flanagan	0.0776526
looker	0.0775462
Grossman	0.0775442
Shareh	0.0773465
Swenson	0.0772682
"Kirsten Dunst"	0.077231
Hendricks	0.0771798
Horowitz	0.0770389
Ivey	0.0768887
Jayakumar	0.0768494
Costner	0.0767535
"James Earl Jones"	0.0766018
"Emilio Bombay"	0.0764906
Auerbach	0.0764632
Bertelli	0.0763914
Jovanovic	0.0763443
"Kevin Bacon"	0.0762963
Callaway	0.0762454
Felton	0.076078
Carlson	0.075889
swank	0.0758705
Boller	0.0758424
Paltrow	0.0757775
Donnelly	0.0757626
McIntyre	0.0757378
"Christopher Reeve"	0.0756749
Carville	0.0755138
Hensley	0.0754765
"Chow Yun-Fat"	0.0754332
Brogna	0.0753599
Diouf	0.0752246
Velayati	0.0751771
Blazevic	0.0750651
Rockettes	0.0750374
Rossotti	0.0748155
Ruehe	0.0747564
Biggs	0.074723
Blanchett	0.0746518
Maguire	0.0746269
Husseini	0.0745549
Cianci	0.0745458
Erving	0.0745096
"Uma Thurman"	0.0744521
Flockhart	0.0744418
Edelstein	0.074431
Affleck	0.07443
DERSHOWITZ	0.0743001
Benigni	0.0742969
Darnell	0.0742854
Markovic	0.0741629
Tharp	0.074009
Insulza	0.0740017
Kyprianou	0.0739238
"Jon Voight"	0.0738404
Cusack	0.0733363
Dennehy	0.0733255
Ikimi	0.0732097
Gutman	0.0731886
"Matthew Broderick"	0.0730662
Ginsberg	0.0730339
Guterres	0.072979
Carrey	0.0729606
Garvey	0.0729378
Henley	0.0728556
REEVE	0.0727685
Doherty	0.0726676
"Cuba Gooding Jr."	0.0726531
Boueiz	0.0726018
McGill	0.0725654
"Ray Romano"	0.0724062
"Alfre Woodard"	0.0722927
DiCicco	0.0720562
DiCaprio	0.072052
Stiller	0.0720009
Vogel	0.0718674
McManus	0.0718633
Tsang	0.0717551
Matthau	0.0717405
Hubbard	0.0716395
"John Cusack"	0.071598
"Spencer Tracy"	0.0715748
Musa	0.0715264
Jorgensen	0.0714539
Jacobsen	0.0714261
Bragg	0.071381
Menuhin	0.071377
Groening	0.0709848
Nicholson	0.0709279
"Jeremy Irons"	0.0709099
Scharping	0.0708113
Rabe	0.0707226
Hamdoon	0.0706618
Keady	0.0704738
Tsai	0.0704291
Napolitano	0.0704275
"Stanley Tucci"	0.0703378
Eubanks	0.0702266
Hamlin	0.0701007
Blackman	0.0698742
"Keanu Reeves"	0.0698449
eddy	0.0697981
Greenfield	0.0697495
Redford	0.0696181
Shamshad	0.0696062
))
(Cleland (desc 1895.82) (sims
Baucus	0.160649
Biden	0.156993
Lautenberg	0.155588
Robb	0.147873
Wellstone	0.13404
Feingold	0.132468
Hollings	0.130514
Moakley	0.12708
"Max Cleland"	0.126194
Bayh	0.125193
Harkin	0.125005
Dodd	0.121658
Kerrey	0.120976
Doggett	0.119078
Kyl	0.118019
Leahy	0.111004
Feinstein	0.108454
Breaux	0.107753
Solich	0.106938
Hutchinson	0.106169
Nadler	0.106064
Piot	0.104747
Satcher	0.103181
Daschle	0.102642
Lockyer	0.102282
Molinari	0.102272
Wyden	0.100013
Heinrichs	0.0993284
Fleischer	0.0978123
Shays	0.097058
Beilin	0.0965438
Ebersol	0.094849
Flanagan	0.0933331
Pelosi	0.0931889
Rossotti	0.0925752
Linder	0.0909159
Moynihan	0.0904381
Koskinen	0.0903183
Rubenstein	0.0895256
Torricelli	0.0891666
Tomey	0.0891536
Prewitt	0.0887009
Brownback	0.088595
Dewine	0.0882712
Goossen	0.0882347
Passarella	0.0879043
Hunsicker	0.0878846
Schmid	0.087547
Hauser	0.0871295
Ainge	0.0858245
hodgson	0.0854729
Dingell	0.0849803
Hagel	0.0843177
Golding	0.0843163
Dorgan	0.0841785
Hayden	0.0841162
Valenti	0.0838493
Hoch	0.0836161
Nickerson	0.0832011
SHUSTER	0.0826673
Duffy	0.0822866
DiPietro	0.0819998
Engelberg	0.0819368
Manley	0.0819125
Bustamante	0.0817323
Conrad	0.0816548
Hickman	0.0816064
Connerly	0.081589
"Bill Lockyer"	0.0815641
Solis	0.0813445
Pearce	0.0810564
Tuberville	0.080056
Rahal	0.0798543
Ratliff	0.0797911
Butterworth	0.0791617
Okada	0.0789838
Lehane	0.0786702
Schumer	0.0786232
Brundtland	0.0785464
Gullikson	0.0784602
Eizenstat	0.0778293
Samuelson	0.0773498
Siegelman	0.077325
Paxon	0.0773014
"administration official"	0.0772495
Atler	0.0768959
Xiang	0.0766713
Azizah	0.0766242
Finkel	0.0765458
Cianci	0.0761892
"John Lewis"	0.0761641
Grassley	0.0761287
Bryan	0.0756989
MURTHA	0.0756919
Cashman	0.0754144
Maldini	0.0752043
Beazley	0.0751034
Lott	0.0748496
Davie	0.074708
Singson	0.0746331
Coverdell	0.0745271
Kerry	0.0742293
Geiger	0.074205
Chadwick	0.0739806
Jovanovic	0.0738601
Insulza	0.0733982
Nasrallah	0.0733581
Cota	0.0728075
Garces	0.0725855
Levin	0.0724657
McCollum	0.0723808
Laudrup	0.0723052
Advani	0.0721873
Byrd	0.0720302
Zambrano	0.0718499
Hartsburg	0.0718411
Herron	0.0718348
McCurry	0.0717766
McKinnon	0.0715063
Rothenberg	0.0713634
beamer	0.0713146
Wilhelm	0.0712039
Rutherford	0.0712034
Bettman	0.0710679
O'Sullivan	0.0708083
Zadornov	0.0706341
Upton	0.0706333
Lugar	0.0705384
Beckwith	0.0703673
Allard	0.07028
Soyinka	0.0702416
Azinger	0.0702223
Weisman	0.0700472
Jobe	0.0699356
Auriemma	0.0696853
"Asa Hutchinson"	0.0695852
Tobin	0.0695782
D'Alessandro	0.0693335
Morgenthau	0.069247
"Sam Nunn"	0.0692377
Zucker	0.069188
"Jeff Sessions"	0.0689372
Santorum	0.0689348
Jaffe	0.068859
Bodine	0.0686465
O'Reilly	0.0686117
Northup	0.068415
Verney	0.0684037
Kaye	0.0683746
Thurmond	0.0681856
Demaci	0.0681601
Wexler	0.0681529
D-S.C.	0.0680919
Rahman	0.0680854
Snowe	0.0679273
Narayanan	0.0678943
Cowan	0.0677181
frist	0.0676785
Milloy	0.0676386
Alatas	0.0676056
Menard	0.0675601
Cink	0.0675585
nance	0.0675552
Meissner	0.0673658
Waxman	0.0672306
LaPierre	0.0669564
Guerra	0.0669104
Rosenthal	0.0667784
Elie	0.0666658
Armey	0.0666641
Yzerman	0.0666222
Metcalf	0.0664707
Gogel	0.0664099
Bergeron	0.066409
Ruehe	0.0662993
Fitzgerald	0.0662412
Scharping	0.0661125
Barrie	0.066019
Gossage	0.0658377
Werner	0.0658346
Malu	0.0658052
Calcavecchia	0.0655396
Hyman	0.0654428
Andreychuk	0.0653019
Difrancesco	0.0652605
Weil	0.0649342
"Earnhardt Jr."	0.0649102
"Joe Lockhart"	0.0648724
Sheehan	0.0648411
Rangel	0.0647927
Braswell	0.0647632
"Jack Kingston"	0.064711
Rendell	0.0647058
McInnis	0.0647019
Guthridge	0.0645053
Sahadi	0.0644497
McKeon	0.0643917
Fieger	0.0643559
Murkowski	0.0642199
Chafee	0.0641536
))
(clematis (desc 1803.81) (sims
hydrangea	0.124204
bougainvillea	0.117674
Wisteria	0.116421
lilac	0.112366
gardenia	0.1113
peony	0.110285
perennial	0.103323
"morning glory"	0.101424
jasmine	0.100021
pansy	0.097249
azalea	0.0943245
dahlia	0.0893822
orchid	0.0873372
lavender	0.0839465
carnation	0.0800151
"day lily"	0.0777869
honeysuckle	0.0759962
rhododendron	0.0732397
dogwood	0.0723525
tulip	0.0710859
vine	0.0710307
"ground cover"	0.0707576
mauve	0.0704363
geranium	0.0703514
Iris	0.0699425
hibiscus	0.0695911
ivy	0.0679842
sedum	0.0670068
anemone	0.0661202
fauna	0.0632081
oleander	0.0631228
petunia	0.0622487
chrysanthemum	0.0615976
wildflower	0.0615889
"black-eyed Susan"	0.0612923
arabesque	0.0609623
"herb garden"	0.0607251
violet	0.060725
fuchsia	0.0606837
camellia	0.0602861
marigold	0.0589622
shrub	0.0588985
fern	0.0568936
daffodil	0.0550999
poppy	0.0534282
sunflower	0.0534277
plankton	0.0528371
ragweed	0.0521799
seedling	0.052052
crustacean	0.0518083
thistle	0.0513854
poinsettia	0.0503263
"poison ivy"	0.0502898
snail	0.0502604
lily	0.0498438
cactus	0.0493798
proletariat	0.0493517
kudzu	0.0489556
westerain	0.0483977
"flowering plant"	0.0481169
"Andrew Morton"	0.0481035
easterain	0.0480231
bloomers	0.0480189
clover	0.0479498
eyeshadow	0.0473901
sumac	0.0467059
"marine animal"	0.046461
Monique	0.0460151
Francisco	0.0447336
hearse	0.0444262
thou	0.0443756
Syrah	0.0439388
algae	0.0438839
Ennis	0.0432269
amaryllis	0.042848
"market average"	0.042197
sapling	0.0421302
Lice	0.0421273
willow	0.0416805
STI	0.0415455
"Marc Racicot"	0.0415343
impatiens	0.0413451
coca	0.0406784
hosta	0.040563
cypress	0.0404319
Magnolia	0.0403765
crocus	0.0401903
coral	0.0400822
"piece of music"	0.0400822
))
(clemency (desc 16822.4) (sims
pardon	0.228103
leniency	0.197959
amnesty	0.192092
commutation	0.176076
asylum	0.153085
parole	0.144791
reprieve	0.13051
"stay of execution"	0.107823
reinstatement	0.106015
"death penalty"	0.104043
bail	0.103556
forgiveness	0.100934
disbarment	0.0972199
citizenship	0.091617
"summary judgment"	0.0905144
waiver	0.0894664
extradition	0.0869805
rehearing	0.0848399
immunity	0.0827727
"wage increase"	0.0824532
statehood	0.0810786
postponement	0.0810712
lifting	0.0808054
mercy	0.0792006
naturalization	0.0771546
censure	0.0760538
intervention	0.0754749
exemption	0.0749545
annulment	0.0737692
arbitration	0.0736624
veto	0.0736372
"financial aid"	0.0731355
accreditation	0.0725371
mistrial	0.0719628
visa	0.0715426
extension	0.071373
"marriage license"	0.0713293
certification	0.0710937
compensation	0.0702316
appointment	0.0700842
impeachment	0.0697464
removal	0.069187
"pay raise"	0.0686813
"capital punishment"	0.0685439
Dismissal	0.0678103
"permanent normal trade relations"	0.067501
voucher	0.0668172
admission	0.0666785
injunction	0.0661723
legalization	0.0656697
funding	0.0653888
reconsideration	0.0649882
"tax break"	0.0644695
nomination	0.064324
membership	0.0637407
cease-fire	0.0637401
moratorium	0.063638
permission	0.0633642
continuance	0.0628238
renewal	0.0622972
restitution	0.0618637
punishment	0.0617032
"tax reduction"	0.0614633
residency	0.0602922
visitation	0.0599204
PNTR	0.0597928
apology	0.0595908
rebate	0.0594285
privilege	0.05904
mediation	0.0588453
approval	0.0587789
relief	0.0584923
autonomy	0.0584919
concession	0.0584595
abortion	0.058157
freedom	0.0578296
resignation	0.0575045
suspension	0.0566109
"tax cut"	0.0563263
custody	0.056143
divorce	0.0559926
candidacy	0.055798
reimbursement	0.0557575
dispensation	0.05548
"search warrant"	0.0553363
ceasefire	0.0548657
financing	0.054655
"gun control"	0.0546406
plea	0.0546096
"trade bill"	0.0542735
"trade relation"	0.0542731
licence	0.0541055
subsidy	0.0540121
inclusion	0.0539706
MFN	0.0539593
repeal	0.0538002
"disability benefit"	0.0536965
withdrawal	0.0535819
"work permit"	0.053334
registration	0.0531553
furlough	0.053106
ordination	0.0529786
authorization	0.0525112
prosecution	0.0524758
refund	0.0523764
probation	0.0523434
absolution	0.0521184
perjury	0.0521074
renegotiation	0.0517998
verification	0.0517223
independence	0.0516779
"medical care"	0.0514114
reparation	0.0512814
amendment	0.051259
"free trade"	0.0512208
"food aid"	0.0511257
Acquittal	0.0510188
revocation	0.0508419
proclamation	0.0507497
"tax credit"	0.0504871
buyout	0.0502284
endorsement	0.0502143
recommendation	0.0501779
indulgence	0.0501566
referendum	0.0500591
enlargement	0.0499914
confirmation	0.0497294
self-determination	0.049507
petition	0.0493753
remedy	0.0493373
recognition	0.0491405
ratification	0.0490587
forfeiture	0.049023
"tax increase"	0.0489385
deportation	0.0488174
"name change"	0.0488093
"rate increase"	0.0486544
easing	0.0486061
bailout	0.0483788
anonymity	0.0480396
wrongdoing	0.0479362
redress	0.0478809
repatriation	0.0476212
pullout	0.0475889
dollarization	0.0474424
Execution	0.0474355
"stock option"	0.0474348
"building permit"	0.0473043
truce	0.0472944
rollback	0.0472713
secession	0.0472432
resumption	0.0470907
fast-track	0.0468514
"prison sentence"	0.0467092
beatification	0.0466493
disclosure	0.0465746
deployment	0.0465439
revision	0.0463922
sampling	0.0463546
hegemonism	0.0463064
accommodation	0.0462474
ouster	0.046235
"Proposition @@"	0.0461603
clearance	0.0460564
"military action"	0.0460376
eligibility	0.0459939
reconciliation	0.0459784
suggestion	0.0459196
confidentiality	0.0454734
directive	0.0453023
retrial	0.0452091
dissolution	0.0451736
compassion	0.0449753
notification	0.0449678
abolition	0.044851
allocation	0.0447982
adjudication	0.0447463
euthanasia	0.0446997
reelection	0.0446816
cancellation	0.0446741
immigration	0.0444142
renomination	0.0444051
relocation	0.0443009
decree	0.0442915
Pinochet	0.0441463
"tax incentive"	0.0440141
overhaul	0.0438779
guardianship	0.0437644
pullback	0.0436764
"rate cut"	0.043621
enforcement	0.0436024
receivership	0.04348
bipartisanship	0.0432713
"Proposition @@@"	0.0432603
inquiry	0.0431775
warrant	0.0431045
Declaration	0.043021
readmission	0.0429673
assurance	0.0427048
representation	0.0426865
))
(Clemens (desc 34953) (sims
"Roger Clemens"	0.237729
Pettitte	0.19567
Maddux	0.165182
Wells	0.16103
"David Wells"	0.16032
Cone	0.156631
Martinez	0.154531
Hernandez	0.152023
"Randy Johnson"	0.151311
"Pedro Martinez"	0.149989
"David Cone"	0.143742
Irabu	0.143697
Glavine	0.143135
"Andy Pettitte"	0.143041
"Orlando Hernandez"	0.139849
Leiter	0.139819
Neagle	0.137222
Smoltz	0.135234
"Hideki Irabu"	0.135177
Helling	0.13321
Schilling	0.132512
Johnson	0.130598
Stottlemyre	0.127544
Nomo	0.126796
Millwood	0.124638
Mussina	0.123333
Saberhagen	0.122706
"Mariano Rivera"	0.121335
"Greg Maddux"	0.121253
"Kevin Brown"	0.120204
Gooden	0.120014
Hershiser	0.119614
Radke	0.11818
Griffey	0.116003
"John Smoltz"	0.115575
Fassero	0.114931
Williams	0.114745
Sele	0.11322
Bottenfield	0.113146
"Denny Neagle"	0.112244
Benitez	0.112179
Hampton	0.110367
Yankee	0.110092
Belcher	0.109698
Dreifort	0.107999
"Al Leiter"	0.107301
Wohlers	0.105651
Rogers	0.105633
Vaughn	0.105615
"Mike Hampton"	0.105156
Burkett	0.105022
Arrojo	0.104009
"Bret Saberhagen"	0.103547
Valdes	0.102043
Rivera	0.101899
Harnisch	0.101644
"Ramiro Mendoza"	0.100639
"Tom Glavine"	0.100533
Finley	0.100338
pitcher	0.0994019
Yoshii	0.0988752
Hentgen	0.0986655
Nagy	0.098045
Jeter	0.0978349
"El Duque"	0.0974196
Knoblauch	0.0970315
left-hander	0.0970054
"Red Sox"	0.0957316
Piazza	0.0955251
Gagne	0.0954268
"Tim Wakefield"	0.0953647
"Kevin Millwood"	0.0949566
Eldred	0.0945527
"Andy Ashby"	0.0944637
Sosa	0.0937472
Perez	0.093169
"Rick Helling"	0.0926481
"Ramon Martinez"	0.0926127
right-hander	0.0921504
"Hideo Nomo"	0.0918452
Benes	0.0915196
"Curt Schilling"	0.0909171
Daal	0.0903282
Brown	0.0897192
Loaiza	0.0893603
Torre	0.0890269
"Bernie Williams"	0.088997
"Chan Ho Park"	0.0889851
Trachsel	0.0889388
Gonzalez	0.088686
"Charles Nagy"	0.0886071
Rueter	0.0885958
Wakefield	0.0883801
Pedro	0.0878454
Reynoso	0.0878178
"Masato Yoshii"	0.0878024
Mulholland	0.0876808
Appier	0.0869711
Tapani	0.0867791
Elarton	0.0860823
"Kent Bottenfield"	0.0858421
Mercker	0.0853245
Dotel	0.0850281
"Kenny Rogers"	0.0846943
"Dwight Gooden"	0.0846554
Wetteland	0.0841926
Mendoza	0.0841132
Kile	0.0834379
"Dave Burba"	0.0832248
Bohanon	0.082967
"Jeff Fassero"	0.0827375
"Bartolo Colon"	0.0824285
"Russ Ortiz"	0.0823227
Jones	0.0821104
"Mark Wohlers"	0.0819206
Olivares	0.0816318
Rusch	0.0814903
Anderson	0.0811818
Candiotti	0.0807627
Moyer	0.0807265
Pippen	0.0804465
Ashby	0.080276
Mets	0.0802745
Brosius	0.0801989
brave	0.080037
Erickson	0.0799612
Halama	0.0798409
Garciaparra	0.0796378
Hundley	0.0794427
mariner	0.0794116
Rodriguez	0.0793892
"Sterling Hitchcock"	0.079006
ASTROS	0.0789667
Sox	0.0789632
Rodman	0.0788143
Ankiel	0.0787683
Percival	0.0787201
"Mike Stanton"	0.0785228
Edmonds	0.0783374
Wright	0.0780912
Zeile	0.0775922
Schourek	0.0775434
O'Neill	0.0775329
Moehler	0.0774962
"John Franco"	0.0774599
"Orel Hershiser"	0.0772176
Rojas	0.0771986
"Esteban Loaiza"	0.0771345
Schoeneweis	0.0767512
"Mark Portugal"	0.0766718
McGwire	0.0763685
"Woody Williams"	0.0760566
Wasdin	0.0757352
"Todd Stottlemyre"	0.0757093
Alou	0.0756877
Guzman	0.0756116
Avery	0.0755925
"Pete Schourek"	0.0755084
Ewing	0.075404
"Rick Reed"	0.0753857
Posada	0.0752989
Bourque	0.0752201
Woodard	0.0749182
"Kerry Wood"	0.0749166
Castillo	0.0746846
belle	0.0746611
"blue jay"	0.0745733
"Pat Hentgen"	0.0745534
Gordon	0.074407
"Eric Milton"	0.0742593
Sprewell	0.0742587
Yarnall	0.074235
righthander	0.0741668
dodger	0.0738829
"John Rocker"	0.0737271
Reynolds	0.0735609
"Paul O'Neill"	0.0734414
"Rod Beck"	0.0733568
"Brett Tomko"	0.0733437
"Mike Piazza"	0.0733189
Rapp	0.0732888
Stanton	0.0730098
Hardaway	0.073008
lefthander	0.0729059
Girardi	0.0729013
Garcia	0.0728562
rocker	0.0727686
"Derek Jeter"	0.0723701
"Pat Mahomes"	0.0723153
Sampras	0.0722625
"Mike Mussina"	0.0722266
"Pat Rapp"	0.0719668
Ramon	0.07178
"Jose Lima"	0.0714706
Orioles	0.0714247
"Andy Benes"	0.0714078
"Rolando Arrojo"	0.0713029
"Jamie Moyer"	0.0711251
Ripken	0.0710478
Marino	0.0709024
))
(Clement (desc 4343.66) (sims
Radke	0.154842
Schourek	0.14522
Rusch	0.123102
Parris	0.123089
Harnisch	0.121723
Astacio	0.120659
"Russ Ortiz"	0.115679
Lieber	0.115677
Leiter	0.114613
Trachsel	0.114045
Bohanon	0.113415
Hermanson	0.112218
Burkett	0.111637
Kile	0.11154
Mercker	0.110704
Tapani	0.110677
Fassero	0.109727
Reynoso	0.108074
Cloude	0.1079
Hershiser	0.106895
Woodard	0.106746
Gagne	0.106206
Stoltenberg	0.106173
Benes	0.106049
Millwood	0.105774
Edberg	0.104864
Pavano	0.104777
estes	0.103564
Gustafsson	0.103234
Glavine	0.102924
Suppan	0.102136
Likhovtseva	0.101823
Damm	0.10082
Dotel	0.10064
Appier	0.100486
Mahomes	0.10023
Capriati	0.0997619
Larsson	0.0994394
"Mike Sirotka"	0.0989156
"Jeff Weaver"	0.0988757
Dempster	0.0988143
Belcher	0.0979947
Elarton	0.0979805
Mlicki	0.0979365
Bere	0.0970928
"Jesus Sanchez"	0.0970016
Grimsley	0.0958523
Schnyder	0.095012
Rapp	0.0947107
"Bryce Florie"	0.0946163
Gimelstob	0.0945463
Hentgen	0.0945417
Etherton	0.0943456
Enqvist	0.0943452
Yoshii	0.0942689
Mulholland	0.0942063
Gooden	0.0941457
Tarango	0.093795
Zito	0.0936637
Rueter	0.0929621
Valdes	0.0928966
Baird	0.0928016
Ankiel	0.0927884
Sele	0.0927822
Fernandez	0.0927198
Nagy	0.0926664
Bottenfield	0.0924315
Corretja	0.0918905
Moehler	0.0915687
Dreifort	0.0914125
Nicol	0.0913639
Washburn	0.0911443
Mussina	0.0910388
Bjorkman	0.0905693
Stottlemyre	0.0904347
Kuerten	0.0903442
"Jon Lieber"	0.0900076
Huber	0.089876
Medvedev	0.0898465
Guzman	0.0897445
Ivanisevic	0.089481
rios	0.0893993
Moyer	0.089343
"Brian Moehler"	0.0890705
Dragomir	0.0890618
Loaiza	0.0890484
Olivares	0.0890196
Berasategui	0.0887331
Eldred	0.0886516
"BRIAN MEADOWS"	0.0886055
Percival	0.0881603
Saberhagen	0.0880135
Zvereva	0.0879836
Halama	0.0875466
Helling	0.0872837
"Francisco Cordova"	0.0872832
Smoltz	0.0869479
Navarro	0.0867002
Kiefer	0.0863333
"Dustin Hermanson"	0.0862546
Sanchez-Vicario	0.0861777
Herges	0.0861684
Baldwin	0.0860547
Ferreira	0.0859702
D'Amico	0.0857079
Petkovsek	0.0853307
Sidot	0.0851099
Testud	0.0848845
Krajicek	0.0848435
Erickson	0.0847563
"Brian Anderson"	0.084677
Spadea	0.0845767
Polgar	0.0845221
Candiotti	0.0843848
Haynes	0.084158
Daal	0.0839935
"Chris Carpenter"	0.0839373
Gambill	0.0837508
Seles	0.0833599
Gaudenzi	0.0833283
Milton	0.0831853
Prinosil	0.0829751
Cordova	0.0826803
"Armando Reynoso"	0.0826342
Mantilla	0.0823036
Escobar	0.082284
Rusedski	0.082224
Mantei	0.0820146
"Robb Nen"	0.0818755
Wetteland	0.0816545
Remlinger	0.0815953
Schilling	0.0813064
Burba	0.0811091
Coetzer	0.080771
Checo	0.0807604
Hollins	0.0804946
"Van Roost"	0.0804247
Clavet	0.0802302
Boilermakers	0.0801608
Isringhausen	0.0800306
Majoli	0.0800243
"Scott Draper"	0.0799839
Finley	0.0799184
Tomko	0.0797487
Pierce	0.0797145
"Alberto Costa"	0.0796894
Haas	0.0795173
Pioline	0.0792988
Nen	0.0792526
Schalken	0.0791937
Heredia	0.0788709
Johansson	0.0788525
Moya	0.0787908
"Matt Franco"	0.0787169
"Javier Vazquez"	0.0785071
Fizer	0.0782981
Atler	0.077608
"Matt Morris"	0.0774631
Dosedel	0.0774343
Benitez	0.077411
Holdsclaw	0.0772933
"Arnaud Di Pasquale"	0.077238
Irvan	0.077223
Nomo	0.0771316
Philippoussis	0.077055
Pettitte	0.0770093
"Hernan Gumy"	0.0769745
Castillo	0.0767228
gamecock	0.076264
Henman	0.0762179
Swardt	0.0761358
Korda	0.0760939
Maddux	0.075998
"Amelie Mauresmo"	0.0757113
Gardner	0.0755928
Mauresmo	0.0755042
Suzuki	0.075311
Padilla	0.0752561
Sugiyama	0.0750565
"Jamey Wright"	0.0749633
Kafelnikov	0.0749371
Borbon	0.0749139
"Paul Shuey"	0.074592
Graziani	0.0740411
Glaus	0.0737947
Hasegawa	0.0737943
Ortiz	0.0736299
Haarhuis	0.0736127
Knoblauch	0.0734817
Hampton	0.0733214
"Eric Milton"	0.0732113
Osuna	0.0732052
"Steve Campbell"	0.0732048
Pulsipher	0.0731805
"Pat Rapp"	0.0731613
Andreychuk	0.0728668
Tauziat	0.0728518
"Jason Schmidt"	0.0727972
Alicea	0.0725525
Kucera	0.0724825
))
(Clemente (desc 4807.71) (sims
Troussier	0.104081
Milbury	0.0977381
Zambrano	0.0899682
Schottenheimer	0.0894663
Baerga	0.087957
Passarella	0.087892
Monson	0.087553
"Willie Mays"	0.0861973
Burks	0.0859987
"Glenn Hoddle"	0.0841497
Alomar	0.0841438
Mateo	0.0836377
Ribbeck	0.0833347
Layden	0.0826009
"Roberto Clemente"	0.0821521
Mays	0.0814193
Guthridge	0.0803733
Laudrup	0.0799989
Venables	0.0799234
Jacquet	0.0798117
Camacho	0.0796219
Alou	0.0795613
Ripken	0.0787059
Skiles	0.078536
"Ted Williams"	0.0784807
Sampson	0.07605
Munson	0.0756369
Fleischer	0.0752959
Barad	0.0745684
Helton	0.0745414
Griffey	0.07451
Rivlin	0.0740078
Coelho	0.0727308
Cowens	0.0715177
Goossen	0.0713369
"Kevin Keegan"	0.071072
"Breda Kolff"	0.070979
Rongen	0.0709376
"La Russa"	0.0702967
Schoenfeld	0.0701947
Neilson	0.0701317
Eizenstat	0.0698052
Milutinovic	0.0695803
Griese	0.0695701
Palmeiro	0.0690971
Zadornov	0.0689856
Surhoff	0.0689137
Gilkey	0.0689076
Sommer	0.0688592
Fassel	0.0687105
"Michael Skakel"	0.0686588
Romar	0.0686391
Rahal	0.0685516
"Jim Harrick"	0.0680757
Evernham	0.0680428
Schuerholz	0.0680066
Joklik	0.0678045
Maldini	0.0674571
Vialli	0.0674502
Neuheisel	0.067244
Meciar	0.0671282
Constantine	0.0669669
Meissner	0.0668674
Marineau	0.0668573
Tomjanovich	0.0666811
Bubb	0.0665187
Leyland	0.0663199
Catacosinos	0.0663081
"June Jones"	0.0663067
Ditka	0.0662835
Keenan	0.0662049
Stoneman	0.0656984
Harmoko	0.0656844
Aventajado	0.0655741
Mendez	0.0655111
Hoddle	0.0653556
Wannstedt	0.0651574
McKeon	0.0650426
Mathews	0.0649727
Cortines	0.0648458
Cabrera	0.0646132
Parrish	0.0644776
Hundley	0.0643913
Croshere	0.0643513
"Eddie Mathews"	0.0642754
Canseco	0.0642218
Lundberg	0.064154
McGuire	0.0639866
Eskew	0.0636691
Kassirer	0.0635184
Harrick	0.0634819
FitzPatrick	0.0633347
Kapler	0.063261
Kessler	0.0631428
Counsell	0.0630799
tanner	0.0629512
Solich	0.0629251
Franchione	0.062727
Bordick	0.0625228
Spurrier	0.0625117
Lafleur	0.062447
Gonzalez	0.0623528
Calipari	0.0623495
Fulmer	0.0623107
Bichette	0.0622678
Sheehan	0.0621316
Ftorek	0.0619125
Weizman	0.0619097
Hargrove	0.0618104
Casey	0.061786
Caminiti	0.0617536
DIMON	0.0616178
nance	0.0615142
Vogts	0.0612841
Lasorda	0.0612812
Ramirez	0.061269
Naumann	0.0609579
Ingalls	0.0609143
Keegan	0.0607886
Ordonez	0.060762
Snider	0.060678
Segui	0.0605805
Zenga	0.0605354
Ofili	0.0605094
Greer	0.0603147
Schaeuble	0.0601642
Larkin	0.0601148
Sosa	0.0599081
Popovich	0.0597688
Cubas	0.0597598
Cedeno	0.0596735
Ganassi	0.0595558
Lowry	0.0594529
Pfeiffer	0.059377
beamer	0.0593138
Gullit	0.0592962
Galarraga	0.0590561
Bodine	0.0588637
Samaranch	0.0588323
Hartley	0.0588154
Wenger	0.0587891
Calhoun	0.0587741
Rodriguez	0.0587221
Boone	0.0586731
BURNHAM	0.0585494
Mullin	0.0584356
Gullikson	0.0584158
DiMaggio	0.058415
Slocum	0.0584097
Augustine	0.0582874
McCurry	0.0582847
Ruggiero	0.0582744
Koufax	0.0581599
Cha	0.0579489
Zeroual	0.0578499
Paolo	0.0578332
Reinhardt	0.0577518
Padilla	0.0577517
Wendt	0.057586
DONOVAN	0.0575377
Gwynn	0.0575254
Smits	0.0574671
Sherrill	0.0572997
Whipple	0.057241
Huskey	0.0572298
Alford	0.0572215
hodgson	0.0571071
Jauron	0.0570838
Franco	0.0570016
ROMNEY	0.056959
Majko	0.056843
Gaston	0.0568343
Ruth	0.0568138
Modell	0.0568074
Woodson	0.0566634
Crabtree	0.0565944
Hiddink	0.0565667
pressman	0.0565567
Giles	0.0564988
Cepeda	0.0564984
Hollandsworth	0.0564943
Harkes	0.0564048
Devine	0.0564007
Zagallo	0.0563725
Nilsson	0.0563582
Whitsitt	0.0562809
Kinkade	0.0562769
Blazevic	0.0562541
Cowher	0.056156
Penders	0.0560788
Westphal	0.0560431
Verniero	0.0560251
Rowe	0.0559313
Erickson	0.0558869
Verney	0.0558519
DeBerg	0.0558024
Soares	0.0557013
Kidd	0.0556885
Azizah	0.0556768
Zeile	0.0555524
))
(Clements (desc 964.451) (sims
Echols	0.144826
Diouf	0.131182
Rossotti	0.121917
Myhrvold	0.121844
Hybl	0.117296
Hauser	0.116898
Ruehe	0.116399
Skiles	0.115427
Mendez	0.115098
Manley	0.113571
Allard	0.113149
Haskins	0.11112
Fleischer	0.110162
Allchin	0.108703
McKenna	0.10768
Gutman	0.106143
Siazon	0.10583
Heinrichs	0.105451
Sheehan	0.105068
Wolfson	0.104905
Stubbs	0.104268
Solis	0.103527
Rahal	0.103323
Zucker	0.101752
Marinovich	0.101713
Rothenberg	0.101234
Ruggiero	0.101199
Prewitt	0.100772
Braswell	0.100704
Moonves	0.100043
Cremins	0.0993116
McCurry	0.0991711
Bustamante	0.0990579
Joklik	0.0978058
DeFrantz	0.0977065
Hartley	0.0972571
Cowher	0.0966077
Husseini	0.0965735
McInnis	0.0964943
Verney	0.0961529
Summitt	0.0957962
Eizenstat	0.0957943
Kyprianou	0.0957447
Sahadi	0.0954107
Coffey	0.0953388
Ikeda	0.0946613
Grasso	0.0942124
Cashman	0.0939325
Rong	0.0937235
Burleigh	0.0935254
Posner	0.0934248
Krzyzewski	0.0934078
Neff	0.0931762
Abdel-Meguid	0.0925619
Geiger	0.0924388
Padilla	0.0919787
Schmid	0.0919419
"administration official"	0.0919167
Flanagan	0.0919129
Bochy	0.0918516
Finkel	0.0913654
Insulza	0.0913373
Winn	0.091112
Pappas	0.0909512
Conroy	0.0909172
Lowery	0.0903584
Ochoa	0.0903533
Talebi	0.0902813
Pruett	0.0900658
Advani	0.0898764
Scharping	0.0894155
Condit	0.0893532
Bullard	0.0892192
Waxman	0.0891959
Lamberth	0.0891637
Schell	0.0891543
Piot	0.0890215
Samuelson	0.0890121
Schuerholz	0.0889317
Jayakumar	0.0888658
Dooley	0.0887349
Lampkin	0.0881538
Sperling	0.0881431
Hunsicker	0.0879039
Okada	0.0875715
Azizah	0.0875309
Kasoulides	0.0869292
"La Russa"	0.0868582
Singson	0.0866107
Finney	0.0865545
Goossen	0.0865298
Kumar	0.0861558
Cline	0.0860197
Polian	0.0859006
Reinhardt	0.0858912
Driscoll	0.0858153
McDonough	0.0857859
Lehrer	0.0856778
Klima	0.0854436
Chao	0.0852082
Kupchak	0.0851304
Engel	0.0850744
Sasser	0.0850663
Ainge	0.084862
Guterres	0.08485
Velayati	0.084773
Ebersol	0.0846537
Bonner	0.0845887
Fieger	0.0845179
Dowd	0.0844102
Lockyer	0.0843939
Gosper	0.084247
Grossman	0.0842168
Koskinen	0.0841977
Patel	0.0841808
Chadwick	0.0841355
Hine	0.0841064
Alford	0.0840939
Storin	0.0840926
Passarella	0.0840232
Sheng	0.0839851
Majali	0.0839009
Tsang	0.083846
Forrest	0.0837165
Babcock	0.083599
Vollebaek	0.0832553
Beilin	0.0831381
Regan	0.0830001
Satcher	0.0829891
Shevardnadze	0.0829721
Moratinos	0.0826683
Calipari	0.0825504
Stoneman	0.0823408
Alderson	0.0822436
Constantinescu	0.0821416
Izzo	0.0821203
Podesta	0.0820501
Devine	0.0818841
Ratner	0.0818646
Beazley	0.0817213
Hirst	0.0816602
Roberson	0.081608
McDonnell	0.0815753
Flaherty	0.0815574
"de Charette"	0.0814559
Brandt	0.0813866
Schuessel	0.0810833
Romar	0.0809502
Carollo	0.0809353
Bavasi	0.0808986
Harmon	0.0805655
Meissner	0.0805095
Halberstam	0.0804481
Maldini	0.0804122
Kuhn	0.0803747
McIntyre	0.0803159
Hersh	0.0800959
Kennard	0.0798258
Demaci	0.0797462
Guthridge	0.0797089
Sommer	0.0796463
Cooley	0.0793779
Caldera	0.0793779
Weldon	0.0791615
Conte	0.0791569
Wenger	0.0791482
Caddell	0.0791433
Zadornov	0.0790739
Gogel	0.0790378
Kissinger	0.0788149
Jacquet	0.078804
Ono	0.0787254
Delahunt	0.0787161
Tsvangirai	0.0786728
O'Connell	0.0786562
Molinari	0.0786415
Ribbeck	0.0786172
Scheck	0.07855
Inman	0.0784654
Lipponen	0.0783263
Cui	0.0782324
Rendell	0.0782017
Lowry	0.0780084
Pelosi	0.0778066
Takahashi	0.0776925
Kearin	0.077668
Sykes	0.0774501
Sutter	0.0773092
Tomey	0.0772834
Rubenstein	0.0772829
Garrity	0.0772361
McKinnon	0.0772177
Rudman	0.0771177
Begala	0.0771037
Azinger	0.0769001
Edmondson	0.0768175
Fleisher	0.0767999
Troussier	0.0767714
Soyinka	0.0765235
Sherrill	0.0764791
))
(Clemson (desc 18162.4) (sims
"Wake Forest"	0.248605
"Mississippi State"	0.236368
"Florida State"	0.233193
"Georgia Tech"	0.233121
Vanderbilt	0.223622
LSU	0.221711
Purdue	0.221565
"Ohio State"	0.219003
"Oklahoma State"	0.213413
"Notre Dame"	0.208568
"Penn State"	0.206063
"Kansas State"	0.200307
Rutgers	0.198748
"N.C. State"	0.197996
"Michigan State"	0.19606
"North Carolina State"	0.194737
Auburn	0.193911
"Iowa State"	0.191343
"Louisiana Tech"	0.188074
"Washington State"	0.184835
"Texas Tech"	0.182008
"Arizona State"	0.181582
UCLA	0.179745
Duke	0.176793
Syracuse	0.176776
Stanford	0.175905
"Oregon State"	0.172539
"Fresno State"	0.171947
Kentucky	0.17128
Tulane	0.169907
"Boston College"	0.168903
Villanova	0.168801
Tennessee	0.168657
"Seton Hall"	0.167984
"Virginia Tech"	0.167058
Baylor	0.166424
USC	0.165955
northwestern	0.162068
Alabama	0.161484
Nebraska	0.161361
"Southern Mississippi"	0.155456
"San Jose State"	0.155321
Pepperdine	0.154985
"North Carolina"	0.150555
Cal	0.149559
Maryland	0.147008
"San Diego State"	0.145168
SMU	0.142078
UNLV	0.141917
BYU	0.140918
"Brigham Young"	0.14075
Gonzaga	0.140241
"West Virginia"	0.137859
Wisconsin	0.137117
UConn	0.137094
Indiana	0.135136
"Appalachian State"	0.133901
Virginia	0.132889
Oklahoma	0.131868
"Ball State"	0.131472
Oregon	0.130691
DePaul	0.129473
Miami	0.128462
"East Carolina"	0.127132
Georgetown	0.126916
"St. John"	0.126277
Arkansas	0.126177
"Georgia Southern"	0.125785
CSUN	0.124905
TCU	0.124495
Xavier	0.123133
Minnesota	0.12306
Kansas	0.122326
"Arkansas State"	0.12232
Michigan	0.122314
"New York Jets"	0.122252
Pittsburgh	0.120867
Georgia	0.120662
"Southwest Missouri State"	0.120082
"Colorado State"	0.119513
Tulsa	0.118964
Florida	0.118754
Arizona	0.118102
Alabama-Birmingham	0.117526
Steelers	0.116505
Jacksonville	0.116348
Colorado	0.116124
"Louisiana State"	0.115794
"New Mexico State"	0.11544
wildcat	0.114846
Fordham	0.114391
ASU	0.113852
"Green Bay"	0.113678
Louisville	0.113271
gamecock	0.11322
Utah	0.113212
tech	0.11199
Sooners	0.11128
Gators	0.111213
Connecticut	0.109952
Hawkeyes	0.108874
Cincinnati	0.108072
Marquette	0.107656
"Tampa Bay"	0.107558
Boilermakers	0.105945
"South Carolina"	0.105751
"New York Giants"	0.105022
Huskers	0.104918
"Weber State"	0.104744
"Washington Redskins"	0.104516
"Minnesota Vikings"	0.104438
Seminoles	0.10435
Illinois	0.103232
"Montana State"	0.102859
"Old Dominion"	0.102801
BEARS	0.102304
MetroStars	0.102237
Missouri	0.101218
Carolina	0.100942
"Tar Heels"	0.100826
"UC Santa Barbara"	0.100609
"New Mexico"	0.100191
"Dallas Cowboys"	0.0999273
Mississippi	0.0998317
Aggies	0.0997244
Furman	0.0994111
Bengals	0.0990916
Wolfpack	0.0989157
Eagles	0.0985866
Redskin	0.0973751
Lobos	0.0970003
husky	0.0967981
"Nevada-Las Vegas"	0.0963576
Portland	0.0961
"Northern Arizona"	0.0960943
Iowa	0.0958078
ou	0.0957068
Texas	0.0956342
Seahawks	0.0952411
"Philadelphia Eagles"	0.0951751
"Southern Cal"	0.0948622
charger	0.0946713
Denver	0.094341
Princeton	0.0942234
"Utah State"	0.0941159
cougar	0.0935477
BC	0.0935385
"Central Florida"	0.0932694
Detroit	0.0931985
Giants	0.0929141
No.	0.0926954
FSU	0.0926287
"St. Bonaventure"	0.0922295
Trojan	0.0917797
"Long Beach State"	0.091277
Vols	0.0911935
"Denver Broncos"	0.0909427
bulldog	0.0908515
UMass	0.0908272
"Texas Christian"	0.0901844
falcon	0.0901023
"blue devil"	0.0899978
Hofstra	0.0898486
"Fighting Irish"	0.0898064
oiler	0.0893599
Cleveland	0.0890593
panther	0.0889355
"Indianapolis Colts"	0.0887093
BUCCANEER	0.088685
Baltimore	0.0880199
"Nittany Lions"	0.0878873
"Phenix City"	0.0876951
Celtics	0.0876208
"Crimson Tide"	0.0874071
NAU	0.0872425
Sacramento	0.0872099
"ATLANTA FALCONS"	0.0871994
bronco	0.08717
"D.C. United"	0.0868806
raider	0.0867845
OSU	0.0867822
Longhorn	0.0859654
"San Francisco @@ers"	0.0859609
ram	0.0857021
Hokies	0.0854936
"Cincinnati Bengals"	0.0851788
"Detroit Red Wings"	0.0850562
"Saint Louis"	0.084936
buckeye	0.0847165
"Horned Frogs"	0.0846787
"Idaho State"	0.08461
packer	0.084554
"Florida Panthers"	0.0845316
Lehigh	0.0845287
Razorback	0.0844643
matador	0.0844538
Houston	0.0841535
Grambling	0.0839049
"Chicago Bears"	0.0837479
"New York Liberty"	0.0837142
))
(clenbuterol (desc 1583.01) (sims
stanozolol	0.487088
nandrolone	0.304445
Erythropoietin	0.248742
ephedrine	0.218321
EPO	0.182596
diuretic	0.156892
"human growth hormone"	0.143877
pseudoephedrine	0.143498
androstenedione	0.14105
steroid	0.133447
testosterone	0.120841
Propulsid	0.0925452
GHB	0.0902857
stimulant	0.0897679
amphetamine	0.0868097
thalidomide	0.0819419
Taxol	0.0816848
Avonex	0.0792798
Endostatin	0.0787671
TPA	0.0767322
"red blood cell"	0.0751057
Xenical	0.0732604
Herceptin	0.0729681
Prilosec	0.070616
"growth hormone"	0.0694864
mifepristone	0.069322
salmonella	0.0690473
ENBREL	0.0671092
LIPITOR	0.0665504
raloxifene	0.0643615
hGH	0.0629078
listeria	0.0617693
"AIDS virus"	0.0617372
Propecia	0.0617202
cannabis	0.0609521
Pondimin	0.0602823
"Islamic Welfare Party"	0.0601458
Zocor	0.0597265
Redux	0.0596464
blinker	0.0594739
coli	0.0592753
doneness	0.0592221
Zoloft	0.0588371
"nerve gas"	0.0584878
Phentermine	0.0583744
"hepatitis B"	0.0581945
Fen-Phen	0.0580256
"Muslim Brotherhood"	0.0579687
inhaler	0.0575367
morphine	0.0574794
chokehold	0.0574585
Epogen	0.0555893
syphilis	0.0550499
dioxin	0.054448
Celebrex	0.0543396
nevirapine	0.053017
"corporal punishment"	0.0524275
capsaicin	0.0522197
interferon	0.0521902
fenfluramine	0.0521071
enhancers	0.0520085
anthrax	0.051898
AZT	0.0515063
bacterium	0.0514851
"Islamic Salvation Front"	0.0512737
Ritalin	0.0511842
adenovirus	0.0511339
RU-@@@	0.0509246
methadone	0.0499211
"Dinah Shore"	0.0497444
"World Cup Finals"	0.0494279
nitroglycerin	0.0485171
tamoxifen	0.0483322
Yandarbiyev	0.0474045
Rezulin	0.0472722
imposter	0.0472598
"Scott Boras"	0.0466306
"more than @@@ million US dollars"	0.0464513
andro	0.0464145
methamphetamine	0.0457973
"work camp"	0.0457843
tremolite	0.0455889
"Welfare Party"	0.0452025
no-confidence	0.0450919
"three pitchers"	0.0450812
Speer	0.0450395
Zonolite	0.0446969
pathogen	0.0443491
creatine	0.044283
Claritin	0.0442
"nearly $@.@ million"	0.0441054
malignancy	0.043843
labrum	0.0435233
imperfection	0.0430125
mem	0.0427754
potty	0.0425719
"Dubai World Cup"	0.042494
"Red Violin"	0.0424799
"Mandalay Bay"	0.0424762
VX	0.0421512
Relenza	0.0417949
melatonin	0.0411608
painkiller	0.0405891
"Kurdish Workers Party"	0.040403
shredders	0.0402007
"acquired immune deficiency syndrome"	0.0400033
))
("clenched fist" (desc 1616.25) (sims
fist	0.103066
"water vapor"	0.0735314
"middle finger"	0.0710817
"index finger"	0.0683751
"two fingers"	0.0656869
fireball	0.0651779
"May Day"	0.0615079
jut	0.0599727
"fishing license"	0.0587071
racquet	0.0569467
sparkler	0.055959
"black flag"	0.0556624
"sulfuric acid"	0.0528837
Heinrichs	0.0526946
hairstylist	0.0525892
Webcam	0.0524965
bauhinia	0.0522378
Z@@	0.0520606
Fryman	0.0518086
virility	0.0513208
"yellow flag"	0.0511405
trillion	0.051026
"white flag"	0.0508261
"billion yuan"	0.0504766
"squad car"	0.0504277
adrenalin	0.0501929
defoliant	0.0501374
pompom	0.0500699
"morse code"	0.0490208
thumbs-up	0.0488806
particulates	0.0486456
"key rate"	0.0486389
forefinger	0.0477534
paintbrush	0.047575
three-minute	0.0472817
Juneteenth	0.0472377
Radon	0.0470956
Springbok	0.0469966
neo-Nazi	0.046687
prosthesis	0.0464599
paw	0.0462117
behinds	0.0457157
"hundred million dollars"	0.0451603
"cubic meter"	0.0450074
fief	0.0450003
"ransom money"	0.0444388
pompadour	0.0444263
slurry	0.0443438
midwinter	0.0442817
"raw talent"	0.0442041
plunger	0.0441767
"well water"	0.044043
"iron fist"	0.0438539
tricolor	0.043779
weeklong	0.0434716
"hydrogen sulfide"	0.0433616
KKK	0.0428363
colander	0.0425394
"dead person"	0.0420534
Vina	0.0419853
"six miles"	0.0419524
larynx	0.0415796
zeppelin	0.0415572
louver	0.041498
femininity	0.0413675
"piggy bank"	0.0413051
"production ceiling"	0.0412692
Campas	0.0412447
"Willie Horton"	0.0408978
swastika	0.0407822
chink	0.0406482
"Ford Escort"	0.0406432
"bar mitzvah"	0.0405096
"social status"	0.0400454
))
(Cleopatra (desc 6847.58) (sims
"Richard III"	0.0989176
Othello	0.0976189
Macbeth	0.0922237
Antony	0.0805932
Joan	0.0650076
Falstaff	0.061897
Pinocchio	0.0616394
Selena	0.0604464
"Alexander the Great"	0.0577955
"King Lear"	0.0564911
"Twelfth Night"	0.0533438
Romeo	0.0531491
"Swan Lake"	0.0523755
Lear	0.0516645
Spartacus	0.0512434
"chicken run"	0.050821
Frankenstein	0.0497267
"Don Quixote"	0.0496926
"Julius Caesar"	0.0483454
"Louis XIV"	0.0475901
"Citizen Kane"	0.0474342
"Elizabeth I"	0.0469624
"Queen Victoria"	0.0466354
Mussolini	0.0464819
Napoleon	0.0464385
Tootsie	0.0462255
Jackie	0.0457999
Iago	0.0451754
Annie	0.0448691
"King David"	0.0440885
Cupid	0.0438624
"Mickey Blue Eyes"	0.0436634
"Fight Club"	0.0435998
"John Lennon"	0.0435085
"Sports Night"	0.0428747
"young actress"	0.0427589
"Peter Pan"	0.0423969
anna	0.0423542
"Anna Karenina"	0.0422868
wonderland	0.0422381
Laurie	0.0422286
Rosie	0.0419961
Marguerite	0.0417838
Tito	0.041777
Anastasia	0.0415029
Mary	0.0414658
Hamlet	0.0413509
Hirohito	0.0413186
Nutcracker	0.0409661
"Parent Trap"	0.04072
Hurlyburly	0.0404796
EdTV	0.0403082
"Cradle Will Rock"	0.0402823
geisha	0.0400705
Samson	0.0400545
Evita	0.0400269
duchess	0.0400035
))
(clergy (desc 24757.9) (sims
clergymen	0.188526
"religious leader"	0.177357
cleric	0.165804
priest	0.155148
theologian	0.145625
pastor	0.129549
bishop	0.129384
"government officials"	0.113326
educator	0.113194
activist	0.111808
rabbi	0.109496
"business leader"	0.107523
"elected official"	0.107024
environmentalist	0.103519
politician	0.103169
"political leader"	0.101679
scholar	0.101461
congregation	0.100788
Catholic	0.0999996
preacher	0.0997145
ethicists	0.0989169
missionary	0.0985131
Protestant	0.0984852
"church member"	0.0983862
intellectual	0.0982862
"social worker"	0.0974302
parliamentarian	0.0950424
"labor leader"	0.0948187
"business executive"	0.0940938
legislator	0.0940583
"legal expert"	0.092715
prelate	0.0926281
academic	0.0924867
Mullah	0.0917062
lawmaker	0.0916867
parishioner	0.0912315
journalist	0.0910764
"health professional"	0.0905523
businessmen	0.0900934
Orthodox	0.0897965
christian	0.089427
worshipper	0.0889413
fundamentalist	0.0888186
congressmen	0.0884452
chaplain	0.0884309
evangelicals	0.08825
"labor union"	0.0880854
Anglican	0.08742
clergyman	0.0873485
monk	0.0864019
laity	0.0862162
conservative	0.0861277
"military officer"	0.0859983
church	0.0854968
religious	0.085118
"interest group"	0.0849014
professional	0.084864
businesspeople	0.0845144
"union member"	0.0844382
teacher	0.0842403
counselor	0.0839302
advocate	0.0837597
"civil servant"	0.0833722
hard-liner	0.0832356
physician	0.0814149
Jew	0.0810839
doctor	0.0810412
nun	0.0806368
marcher	0.0802905
"political party"	0.0802768
citizen	0.0797909
hierarchy	0.0796676
denomination	0.079596
follower	0.0795768
"university student"	0.0795666
volunteer	0.0790497
nationalist	0.0789425
administrator	0.0786119
"civil rights leader"	0.0782924
dissident	0.0778781
student	0.0772425
"staff member"	0.0770986
faction	0.0762003
nurse	0.076037
protester	0.0757669
believer	0.0757579
liturgy	0.0755817
"trade union"	0.0755779
psychologist	0.0754882
"policy maker"	0.0753913
worker	0.0751343
"civic leader"	0.0749844
community	0.0749334
Deacon	0.0748936
minority	0.0747648
priesthood	0.0746105
Gay	0.0745905
Muslim	0.0744613
worshiper	0.0743482
"faculty member"	0.0743188
supporter	0.0742842
policy-makers	0.074061
scientist	0.0734374
diocese	0.0733654
hardliner	0.0733441
delegate	0.073051
banker	0.0730377
dignitary	0.0729195
Buddhist	0.072883
bureaucrat	0.0727178
resident	0.0726015
Alumni	0.072441
elder	0.0717687
entrepreneur	0.0715429
organization	0.0713263
officer	0.0712597
firefighters	0.0710984
jurist	0.0707541
practitioner	0.0706788
"police officer"	0.070676
statesmen	0.0705392
Baptists	0.0705031
pharmacist	0.0703495
extremist	0.0702979
employee	0.0698586
homosexual	0.069813
"Likud Party"	0.0697559
Imam	0.0697471
"trade unionist"	0.0696204
sect	0.0692315
Moslem	0.0691997
military	0.0691938
regulator	0.0689213
leftist	0.0689068
"college student"	0.0687282
Communist	0.0687185
laymen	0.0685616
schoolchildren	0.068551
reformer	0.0682275
diplomat	0.0682243
cadre	0.0677247
liberal	0.0676542
villager	0.0673618
"law enforcement"	0.0672879
parent	0.0671138
seminarian	0.0669525
"social group"	0.0668478
Judiciary	0.0668365
moderate	0.0666989
Jewish	0.066686
athlete	0.0665985
"community organizer"	0.0665915
"family member"	0.0665804
NAACP	0.0664837
landowner	0.066479
academician	0.066433
therapist	0.0663994
"federal official"	0.0661334
militant	0.0660777
"Christian church"	0.0659939
"council member"	0.0659903
voter	0.0659863
personnel	0.0659008
protestor	0.0657487
Democrat	0.0655393
prosecutor	0.0655268
police	0.0654138
feminist	0.0653834
"cabinet minister"	0.0653627
"health care provider"	0.0650631
unionist	0.0649915
"non-governmental organizations"	0.0649658
lawyer	0.0649064
expert	0.064805
pilgrim	0.0647098
employer	0.0646761
"Communist Party"	0.0646321
"senior citizen"	0.0645226
lobbyist	0.064373
NGOs	0.0643316
historian	0.0642642
representative	0.0642033
youth	0.0641878
Cuban-Americans	0.064149
immigrant	0.0639531
musician	0.0639101
Hindu	0.0637709
"business community"	0.0636168
"army officer"	0.0635988
reformist	0.0635945
policymakers	0.0635878
reservist	0.0634991
ordination	0.0634947
farmer	0.063442
Archbishop	0.0633448
psychiatrist	0.0632707
Republican	0.0632497
staffer	0.063203
Lutheran	0.0631728
artist	0.0629734
))
(clergyman (desc 7551.55) (sims
cleric	0.160012
clergymen	0.113739
prelate	0.104475
theologian	0.102201
"naval officer"	0.101374
"religious leader"	0.0986686
priest	0.097629
pastor	0.0938528
preacher	0.0901429
"military officer"	0.0898345
schoolteacher	0.0896699
businessman	0.0892314
bishop	0.0875737
clergy	0.0873485
"foreign service officer"	0.0851216
"army officer"	0.084985
jurist	0.0849661
missionary	0.0846124
"art historian"	0.0840182
"newspaper editor"	0.0836675
layman	0.0826498
ex-convict	0.0798365
evangelist	0.0787371
rabbi	0.0782573
"state senator"	0.0776959
statesman	0.0770776
"labor leader"	0.076795
"military man"	0.0767661
chaplain	0.0758896
"enlisted man"	0.0752148
policeman	0.0750288
Imam	0.0748997
serviceman	0.0745109
"air force officer"	0.0744389
"real estate developer"	0.0724866
"government officials"	0.0721759
Admiral	0.0717267
Colonel	0.0716862
"civil rights leader"	0.0715314
educator	0.0709773
"social scientist"	0.0708759
Industrialist	0.0703751
"school teacher"	0.0702125
businesswoman	0.0700952
"art dealer"	0.0700941
activist	0.0698484
philosopher	0.0697691
"political leader"	0.0693878
policymaker	0.0693464
newspaperman	0.0692515
"police sergeant"	0.0691201
turncoat	0.0689426
stockbroker	0.0688141
banker	0.0685991
"police captain"	0.0684814
"police detective"	0.0680843
"school superintendent"	0.0676096
"business executive"	0.0675534
Congressman	0.0671955
Kalejs	0.0667728
"civil engineer"	0.0666781
psychoanalyst	0.0664364
fisherman	0.0664332
Postmaster	0.0657421
Swango	0.0655691
dentist	0.0655629
resister	0.0653585
optometrist	0.0650626
Deacon	0.0648363
philanthropist	0.0647739
poet	0.064641
"prison guard"	0.0646344
"social worker"	0.0646022
chemist	0.0644769
Archbishop	0.0644034
pediatrician	0.064156
"real estate broker"	0.0636289
geologist	0.0636079
musicologist	0.0635176
intellectual	0.06279
"truck driver"	0.0623983
"film producer"	0.0620667
"cabinet member"	0.0620418
financier	0.0619473
mobster	0.0619436
"military leader"	0.0616479
"fashion designer"	0.0614905
architect	0.06139
"English professor"	0.0613876
mathematician	0.0613278
pontiff	0.06132
worshipper	0.0609409
"real estate agent"	0.0607057
"cabinet minister"	0.060495
statesmen	0.0604453
"Galina Starovoitova"	0.0603858
"Black Panther"	0.0603483
"factory worker"	0.0601009
veterinarian	0.0600007
abolitionist	0.0599753
Amal	0.0598875
assemblyman	0.059879
novelist	0.0598643
Playwright	0.0598089
Bucaram	0.0596827
"corporate executive"	0.0596212
ex-con	0.0594836
"school principal"	0.0593869
"business leader"	0.0592272
"newspaper publisher"	0.0590596
sociologist	0.0589927
"funeral director"	0.058936
painter	0.0588605
scholar	0.0585667
shopkeeper	0.0585169
watchman	0.0585051
nobleman	0.0583489
drifter	0.0581713
psychotherapist	0.0579336
"plastic surgeon"	0.0576236
inventor	0.0575623
"aerospace engineer"	0.0574387
physicist	0.0573388
"Social Democrat"	0.0573304
"Christian Democrat"	0.0572405
firefighter	0.0571969
Englishman	0.0571899
physician	0.0570361
hairdresser	0.0570058
congregation	0.0569032
astrologer	0.0567655
psychiatrist	0.0566432
surgeon	0.0566056
Einhorn	0.0565867
legislator	0.0564759
barrister	0.0564207
"Bosnian Serb"	0.0563569
tycoon	0.0563314
autocrat	0.0563078
stuntman	0.0562454
fireman	0.0562193
"trade unionist"	0.0559865
sculptor	0.0559734
octogenarian	0.0559172
"certified public accountant"	0.0559137
goal-scorer	0.055865
billionaire	0.0557797
thinker	0.0557591
paratrooper	0.0557534
"foster mother"	0.0555176
housewife	0.0554394
Sakic	0.0554358
infantryman	0.0551089
"intelligence officer"	0.0551072
"interior designer"	0.055063
"computer programmer"	0.0550617
supremacist	0.054968
botanist	0.0549659
"union representative"	0.0548781
"eye doctor"	0.0546448
electrician	0.0546079
nationalist	0.0545623
Councilman	0.054492
cantor	0.0543947
cabinetmaker	0.0543634
Bostonian	0.054359
Azizah	0.0543176
"Robert F. Kennedy"	0.0543062
criminologists	0.0541492
essayist	0.0540866
academic	0.0538727
Ntuyahaga	0.0538409
"English teacher"	0.0538134
"insurance broker"	0.0537507
obstetrician	0.053715
psychologist	0.0537109
"sea captain"	0.0536942
dissident	0.053415
mufti	0.053187
worshiper	0.0531555
seamstress	0.0529856
"literary agent"	0.0529677
"Czar Nicholas II"	0.05295
Alarcon	0.0528947
"dairy farmer"	0.052686
"investment banker"	0.0526494
"intelligence agent"	0.052573
GENT	0.0525713
Mukora	0.052479
"Bosnian Croat"	0.052388
"murder suspect"	0.0522527
"New York Republicans"	0.0522306
magnate	0.052222
monk	0.0520765
officeholder	0.0520554
extremist	0.0520106
Kazhegeldin	0.0519295
"baseball coach"	0.0518904
"black woman"	0.0518357
"family doctor"	0.051774
))
(clergymen (desc 6132.05) (sims
clergy	0.188526
cleric	0.178548
"religious leader"	0.156585
theologian	0.137817
"government officials"	0.134556
Mullah	0.115134
prelate	0.114055
clergyman	0.113739
fundamentalist	0.11151
ethicists	0.10722
statesmen	0.106413
"social scientist"	0.105945
priest	0.105341
evangelicals	0.104035
"business executive"	0.102403
activist	0.102044
educator	0.101177
"military officer"	0.0992847
Cuban-Americans	0.0983371
"Kosovo Serbs"	0.0975068
"trade unionist"	0.097051
protestor	0.0970428
academic	0.0969373
"foreign officials"	0.0962285
"Texas Democrats"	0.0944934
"business leader"	0.0934542
"army officer"	0.0933135
businesspeople	0.093207
rabbi	0.092796
criminologists	0.0921116
scholar	0.0917604
"political leader"	0.0910342
"economic expert"	0.0897011
worshipper	0.0891881
intellectual	0.0889117
academician	0.0888086
"health professional"	0.0885054
pastor	0.0884194
Protestant	0.087964
"newspaper editor"	0.0877081
businessmen	0.0870596
monk	0.0868959
"cabinet minister"	0.0864833
"labor leader"	0.0860589
hard-liner	0.085854
jurist	0.0858474
"university student"	0.08569
"civic leader"	0.0854501
reformist	0.0848214
"policy maker"	0.0841622
parliamentarian	0.0839513
unionist	0.0819303
"New York Republicans"	0.0817144
legislator	0.0816739
"labor union"	0.0814205
dissident	0.0805774
hardliner	0.0805593
missionary	0.0803035
"Sri Lankans"	0.079858
Orthodox	0.0795452
"medical practitioner"	0.0794802
rioter	0.0791757
leftist	0.0789416
"elected official"	0.0789051
marcher	0.0788937
evangelist	0.0788031
"tribal chief"	0.0786266
Industrialist	0.078145
"political party"	0.0778159
"legal expert"	0.0776244
environmentalist	0.0769616
tribesmen	0.0766495
cadre	0.0765416
congressmen	0.0765256
nationalist	0.0761028
Honduran	0.0760669
journalist	0.0757694
functionary	0.0755771
bishop	0.0753876
extremist	0.0753754
rightist	0.0750569
Iranian	0.0747683
seminarian	0.0745951
"civil rights leader"	0.0745202
"Southern Democrats"	0.0742207
"government minister"	0.0739414
"church member"	0.0737395
preacher	0.0736261
policy-makers	0.0735439
lawmaker	0.0732522
"corporate executive"	0.0730967
Catholic	0.0726573
dignitary	0.0726303
Dutchmen	0.0721154
socialist	0.0719926
banker	0.0719635
linguist	0.0719057
Lutheran	0.0717954
businesswomen	0.071516
postgraduate	0.0714582
botanist	0.0713404
Anglican	0.071277
worshiper	0.0709484
nun	0.0708529
"civil servant"	0.0708125
Islamists	0.0706563
craftspeople	0.0706413
Copt	0.0705598
"prison guard"	0.0705
follower	0.0704873
thinker	0.0702551
"political dissident"	0.0702285
firemen	0.0699742
"council member"	0.0697286
"social worker"	0.0696602
Northerner	0.0694067
protester	0.0693217
servicemen	0.0692204
Moslem	0.0692112
right-winger	0.0691702
"New York Democrats"	0.0691571
sect	0.0691191
"Protestant denomination"	0.0687872
Buddhist	0.0686387
"trade union"	0.0683036
"Greek Cypriots"	0.0682125
diplomat	0.0680507
shopkeeper	0.0679695
reformer	0.0677291
villager	0.0676801
educationist	0.0676762
appointee	0.0675506
policemen	0.067509
vigilante	0.0673277
pentecostal	0.0671151
"AIDS activist"	0.0671102
"military leader"	0.0668807
demonstrator	0.0668217
firefighters	0.0666947
sociologist	0.0666559
Jordanian	0.0666334
believer	0.0665799
adherent	0.0665745
"Roman Catholic"	0.066363
technocrat	0.0663486
ideologue	0.0662834
"Israeli Arabs"	0.0662328
picketers	0.0659106
lama	0.0658444
decision-makers	0.065771
"work unit"	0.0657669
Kurds	0.065543
feminist	0.0655175
"school principal"	0.065461
"U.N. agencies"	0.0654225
"military personnel"	0.0653412
Baptists	0.0653393
militant	0.0653378
"medical specialist"	0.0651952
"staff member"	0.0651178
Imam	0.0649185
counselor	0.064887
"Likud Party"	0.0646916
philosopher	0.0646831
Muslim	0.0644545
Afrikaner	0.0642915
"faculty member"	0.0641867
NGOs	0.0640964
"administrative official"	0.0640682
Hindu	0.0640471
Councilors	0.0640024
warlord	0.0640019
"medical institution"	0.063936
reservist	0.0635562
Communist	0.0635156
faction	0.0634075
historian	0.0630892
schoolchildren	0.0630652
"police officer"	0.0626872
illegals	0.0626142
motorcyclists	0.0625666
"place of worship"	0.0624484
Englishmen	0.0622861
neo-Nazis	0.0621693
"Orthodox Jews"	0.0621509
Frenchmen	0.0619927
Navajos	0.0619413
MP	0.0619265
fundamentalism	0.0619029
pilgrim	0.061866
"management personnel"	0.0618621
"Christian church"	0.0618598
denomination	0.061723
Jew	0.0616783
"Sunni Muslims"	0.061638
anthropologist	0.0615718
"naval officer"	0.0614979
Taiwanese	0.0614863
"union member"	0.0614808
philanthropist	0.0612741
))
(cleric (desc 24970.4) (sims
clergymen	0.178548
clergy	0.165804
clergyman	0.160012
"religious leader"	0.158231
reformist	0.131734
activist	0.122594
"spiritual leader"	0.12094
Mullah	0.120452
hard-liner	0.119535
priest	0.11299
dissident	0.112538
theologian	0.11029
politician	0.109799
"military officer"	0.109794
reformer	0.109582
Imam	0.107284
monk	0.105819
hardliner	0.105686
fundamentalist	0.104274
nationalist	0.103849
mufti	0.102526
intellectual	0.101935
leader	0.101771
parliamentarian	0.099624
rabbi	0.0985876
prelate	0.0979043
moderate	0.0969329
legislator	0.0963472
"cabinet minister"	0.0960767
diplomat	0.0948034
preacher	0.09473
conservative	0.093891
"political leader"	0.0936863
scholar	0.0936648
"labor leader"	0.0934563
journalist	0.09298
jurist	0.0926422
Sheik	0.0916204
militant	0.0911906
lawmaker	0.0906521
"business leader"	0.0905804
"army officer"	0.0905686
bishop	0.0905223
"newspaper editor"	0.0891164
worshipper	0.087584
businessmen	0.0874811
Khatami	0.0855476
bureaucrat	0.0855438
congressmen	0.0844121
"business executive"	0.0837384
Communist	0.08335
"government officials"	0.0832177
"trade unionist"	0.0829243
extremist	0.0825576
Iranian	0.0821599
"military leader"	0.0807277
"elected official"	0.0806167
"legal expert"	0.080313
unionist	0.0802188
"civil rights leader"	0.0798874
environmentalist	0.0791649
Muslim	0.0791419
leftist	0.0783699
christian	0.0775239
banker	0.0773086
academic	0.0772677
businessman	0.0770184
sect	0.0764005
Khamenei	0.0762852
radical	0.0759378
worshiper	0.0757546
protester	0.075716
Catholic	0.0756114
guerrilla	0.0755074
advocate	0.0752306
supporter	0.0747274
warlord	0.0741907
educator	0.0741749
socialist	0.0741137
policemen	0.0740702
"political dissident"	0.0740168
"political prisoner"	0.0737847
faction	0.0737536
minister	0.0730877
"Sam Rainsy"	0.0730748
thinker	0.0730062
"university student"	0.0728839
"Abdollah Nouri"	0.0726946
Nouri	0.0724333
settler	0.0722031
Industrialist	0.0721707
Karbaschi	0.0719554
MP	0.0716514
Jew	0.0700877
"labor union"	0.0698595
Mayor	0.0697884
ally	0.0695155
follower	0.0692359
Protestant	0.069204
pope	0.0691146
feminist	0.0689897
Jordanian	0.0689857
nun	0.0689493
pastor	0.0689156
Archbishop	0.06891
"social scientist"	0.0688382
officer	0.0687569
Northerner	0.0683852
detainee	0.0683614
evangelist	0.068337
Kaunda	0.0682302
academician	0.068085
Cuban-Americans	0.0680015
loyalist	0.0677516
policeman	0.0676673
"Saeed Hajjarian"	0.0675733
elder	0.0674514
deputy	0.0673717
Congressman	0.0670839
Magistrate	0.0670255
protestor	0.0669171
Palestinian	0.066801
statesmen	0.0664901
scientist	0.0663008
technocrat	0.0662408
philosopher	0.0661555
"police officer"	0.0661414
liberal	0.0661237
"Mohammad Khatami"	0.0660933
Luzhkov	0.0659841
judge	0.065759
lawyer	0.0657482
"council member"	0.0657302
Republican	0.0657178
Moslem	0.0655943
critic	0.0655505
Governor	0.0652039
"civil servant"	0.0650841
chaplain	0.0650356
"Galina Starovoitova"	0.0650102
Hajdari	0.0649328
"political party"	0.0648237
"church member"	0.064631
General	0.0646234
Berisha	0.0645326
Hindu	0.0642615
ethicists	0.064251
poet	0.0642418
"economic expert"	0.0641132
"holy place"	0.0639444
marcher	0.0639341
prisoner	0.0638761
terrorist	0.0638727
missionary	0.0636605
commander	0.0636112
tribesmen	0.0635045
"corporate executive"	0.0634741
ruler	0.0634355
soldier	0.0633861
believer	0.0633449
"Shiite Muslims"	0.0630905
"foreign officials"	0.0630184
"state senator"	0.0627374
senator	0.062716
Ambassador	0.0624936
Agca	0.0624815
Castro	0.0624221
revolutionary	0.062368
militia	0.0621761
Yassin	0.0619341
"school principal"	0.0619207
Berlusconi	0.0618965
hierarchy	0.061696
writer	0.0616295
"chief justice"	0.0616067
pontiff	0.0615332
insurgent	0.061533
doctor	0.0614717
historian	0.06147
demonstrator	0.0613212
citizen	0.0612522
administrator	0.0612517
vigilante	0.0611915
"newspaper publisher"	0.061172
Democrat	0.0610942
cadre	0.0608594
Gusmao	0.0607799
Speight	0.0607011
entrepreneur	0.0606216
"naval officer"	0.0606091
centrist	0.0604443
Megawati	0.0603588
"cabinet member"	0.06034
"prison guard"	0.0603155
villager	0.0602868
appointee	0.0602034
campaigner	0.0601551
Rafsanjani	0.0600598
lama	0.0600463
"Benjamin Netanyahu"	0.0600396
))
(Clerides (desc 7325.3) (sims
Denktash	0.212982
Kasoulides	0.204529
Cem	0.196754
Nazarbayev	0.195885
Komura	0.189468
Mkapa	0.188386
Hasina	0.185114
Rakhmonov	0.181876
Chiluba	0.181035
Chirac	0.179578
Ecevit	0.17628
Phieu	0.176244
"de Charette"	0.176173
Dini	0.176066
Chissano	0.176026
Kuchma	0.174743
Moratinos	0.173644
Aziz	0.172491
Pangalos	0.17212
Vajpayee	0.171423
"Than Shwe"	0.171243
Gujral	0.170823
Goh	0.170691
Mubarak	0.169977
Simitis	0.169288
Moi	0.167727
Kostov	0.166153
Stoyanov	0.162698
Hashimoto	0.162474
Constantinescu	0.16241
Moussa	0.162308
Museveni	0.161913
Nujoma	0.161625
Guterres	0.161246
Velayati	0.160829
Weizman	0.160455
Rifkind	0.160337
Deuba	0.158073
Boueiz	0.157814
Azad	0.156836
Meles	0.156689
Mandela	0.156598
Primakov	0.156352
Kumaratunga	0.156179
Lukashenko	0.156097
Mbeki	0.155854
Mugabe	0.155804
Chuan	0.15517
Ikeda	0.154914
Kwasniewski	0.154863
Qian	0.153966
Annan	0.153854
Demirel	0.153113
Kinkel	0.152499
Hariri	0.152295
Wahid	0.152046
Bashir	0.151219
Sergeyev	0.150992
Chretien	0.150863
Niyazov	0.149133
Ivanov	0.148475
Yilmaz	0.14808
Talbott	0.148058
Menem	0.148005
Meguid	0.147895
Solana	0.14781
Scalfaro	0.147615
Chavalit	0.147584
Zou	0.147418
Banharn	0.147307
Majali	0.14663
Ahern	0.146133
Karimov	0.145954
"Costas Simitis"	0.145692
Erbakan	0.14567
Aznar	0.145485
Sharif	0.14525
Kharrazi	0.145087
Ahtisaari	0.144591
Prodi	0.144563
Shevardnadze	0.144402
"Atal Bihari Vajpayee"	0.143947
Jayakumar	0.143788
Klestil	0.14374
"Binyamin Netanyahu"	0.143616
"Meles Zenawi"	0.143332
"Mesut Yilmaz"	0.14325
Zhu	0.143237
Jiang	0.143112
Nzo	0.142462
Shareh	0.14233
Frei	0.142034
"Dos Santos"	0.14163
Rabbani	0.141617
"Ryutaro Hashimoto"	0.141247
Khaddam	0.141078
Wolfensohn	0.140904
Tung	0.140691
"Chuan Leekpai"	0.140461
Jospin	0.140331
Akayev	0.139851
Ikimi	0.139443
Estrada	0.138188
Qiao	0.137974
Vasile	0.137667
Santer	0.13761
al-Sahhaf	0.13758
Gaddafi	0.137486
Ruehe	0.136928
Rafsanjani	0.136884
Leghari	0.136767
Dehaene	0.135543
al-Assad	0.135306
Hrawi	0.135254
Zeroual	0.135173
Kabariti	0.134854
Brittan	0.134715
Lipponen	0.134268
Chernomyrdin	0.134137
Abubakar	0.134072
al-Sharaa	0.133444
Rugova	0.133218
Vedrine	0.133205
Gadhafi	0.133201
Arafat	0.13281
Holbrooke	0.132724
Mahathir	0.132202
Pastrana	0.131781
Peres	0.131744
Izetbegovic	0.131457
"Keizo Obuchi"	0.131148
Koirala	0.130772
Camdessus	0.130263
Ciampi	0.129764
Putin	0.129668
Khatami	0.129259
Saleh	0.129057
Buyoya	0.128784
Tsang	0.128712
"Li Peng"	0.128656
Narayanan	0.128441
"Hosni Mubarak"	0.128339
Rong	0.128241
Fischer	0.127787
Luong	0.127646
Ciller	0.127443
"John Howard"	0.127196
Kok	0.126786
"Nawaz Sharif"	0.126528
Yeltsin	0.126131
"Benjamin Netanyahu"	0.125958
Schroeder	0.125899
"Ivan Kostov"	0.125893
Diouf	0.125159
Granic	0.124581
"Atal Behari Vajpayee"	0.124537
"Bulent Ecevit"	0.12452
"Chavalit Yongchaiyudh"	0.124353
"Jordanian King Abdullah Bin Hussein"	0.124298
"Inder Kumar Gujral"	0.124266
Boutros-Ghali	0.124151
Blair	0.124146
Ogata	0.123922
Klima	0.123808
Netanyahu	0.123604
"Rafik Hariri"	0.12339
Cohen	0.123326
Barak	0.123306
"Sheikh Hasina"	0.123033
Muoi	0.122934
D'Alema	0.122896
Stroyev	0.122731
Obuchi	0.122676
Buzek	0.122651
Tarawneh	0.122555
Gowda	0.122479
Barshefsky	0.12235
Milutinovic	0.122204
"Tony Blair"	0.122171
"Goh Chok Tong"	0.121518
"President Kim Dae-jung"	0.121269
Siazon	0.120811
Musharraf	0.120706
Albright	0.120412
Khai	0.120403
Kiriyenko	0.119971
"King Abdullah II"	0.119639
Alatas	0.119308
"Phan Van Khai"	0.119271
Rua	0.119203
"Tariq Aziz"	0.118954
Juncker	0.118445
Abdullah	0.11837
Seleznyov	0.118011
Schuessel	0.117893
Kabbah	0.117866
"Viktor Chernomyrdin"	0.11781
"Mahathir Mohamad"	0.117726
"Yoshiro Mori"	0.117706
"Jose Maria Aznar"	0.11767
Stepashin	0.117377
Surin	0.117334
"Ehud Barak"	0.117152
"Jerzy Buzek"	0.117007
"Necmettin Erbakan"	0.116936
Herzog	0.116888
Zedillo	0.116761
"Prime Minister Banharn Silpa-Archa"	0.116745
Shipley	0.116686
Sumaye	0.116487
"Kofi Annan"	0.116121
Insulza	0.116063
Orban	0.116059
Aventajado	0.115952
Tudjman	0.115511
"Hun Sen"	0.115317
Assad	0.115316
"De Soto"	0.115005
Jovanovic	0.11499
"Romano Prodi"	0.114837
Abdel-Meguid	0.114676
"Jiang Zemin"	0.114642
Zeman	0.114556
Axworthy	0.11441
"Jean Chretien"	0.113605
Pickering	0.113556
Bouteflika	0.113272
Obasanjo	0.113073
"Yevgeny Primakov"	0.112921
Rodionov	0.112906
Iliescu	0.112473
"Vo Van Kiet"	0.112406
Azizah	0.112383
al-Bashir	0.112162
"John Major"	0.112028
Bolger	0.112002
Savimbi	0.111899
Holl	0.111681
Habibie	0.11165
"Abdul Karim Kabariti"	0.111289
"Benazir Bhutto"	0.111144
Muluzi	0.110882
Ganzouri	0.110748
Tarrin	0.110625
"Boris Yeltsin"	0.110507
Kyprianou	0.110389
Kim	0.110207
Koo	0.110068
"Saudi King Fahd"	0.110038
Pustovoitenko	0.1099
"Valery Pustovoitenko"	0.109563
Lahoud	0.10953
"Pascoal Mocumbi"	0.109284
Kabila	0.109104
Bildt	0.109072
Fujimori	0.108937
Kohl	0.108861
Maskhadov	0.108629
"Maung Aye"	0.108509
"Chief Executive Tung Chee-hwa"	0.108495
Brahimi	0.107953
Garang	0.107931
Advani	0.107924
Berisha	0.107921
"Jenny Shipley"	0.107657
al-Hariri	0.107637
Hoss	0.107462
Gurirab	0.107288
Ramos	0.107068
Vollebaek	0.106994
"John Bruton"	0.106922
Indyk	0.106444
Mordechai	0.106369
"Javier Solana"	0.106231
Plavsic	0.10612
Shi	0.105912
Mobutu	0.105854
Blatter	0.105813
Hu	0.10566
Aliyev	0.104868
Kono	0.104847
"Radu Vasile"	0.104837
"Abidine Ben Ali"	0.104788
Nateq-Nouri	0.104582
Chand	0.104466
Salim	0.104367
Masire	0.10423
Li	0.104224
Patasse	0.1039
Cardoso	0.103824
al-Sahaf	0.103761
"William Cohen"	0.103757
Khamenei	0.103744
Havel	0.10374
Soeharto	0.103658
Luo	0.103598
Sampaio	0.103371
"Helen Clark"	0.103206
Zyuganov	0.102946
Dae-jung	0.102892
"Bertie Ahern"	0.102872
Aleman	0.102845
"King Fahd"	0.102814
Hassan	0.102619
"Atef Obeid"	0.102577
"Wim Kok"	0.102479
Lebed	0.102137
"Greek Cypriots"	0.102077
"Vladimir Putin"	0.102019
Yandarbiyev	0.101583
al-Shara	0.101512
Malu	0.101121
"Wlodzimierz Cimoszewicz"	0.101036
"Fernando Henrique Cardoso"	0.100863
al-Khatib	0.100771
Zuma	0.100689
"Gerry Adams"	0.100637
Sha	0.10063
Nasrallah	0.100605
Zhirinovsky	0.10033
wen	0.100173
Vieira	0.100043
))
(clerk (desc 47112.9) (sims
cashier	0.150093
supervisor	0.12774
receptionist	0.121816
"security guard"	0.120584
technician	0.117794
nurse	0.117737
accountant	0.116445
waiter	0.115074
employee	0.112819
waitress	0.11007
manager	0.109948
attendant	0.109126
janitor	0.1082
assistant	0.107179
engineer	0.105585
worker	0.103053
mechanic	0.102159
officer	0.102026
salesman	0.101303
teacher	0.100315
bookkeeper	0.0997708
counselor	0.0975891
staffer	0.0973828
administrator	0.0964982
"police officer"	0.0962414
judge	0.0911854
"staff member"	0.090942
doctor	0.0894925
pharmacist	0.0886368
bartender	0.0886041
executive	0.088302
teller	0.0881602
"social worker"	0.088062
"flight attendant"	0.0868385
"truck driver"	0.0867603
housekeeper	0.0866233
paralegal	0.0865767
electrician	0.0860447
saleswoman	0.0857888
lawyer	0.085737
Attorney	0.0847386
driver	0.083766
policeman	0.0835155
busboy	0.0830107
agent	0.0829865
instructor	0.082532
maid	0.0821393
consultant	0.0818906
stockbroker	0.0814603
secretary	0.0809363
handyman	0.0806536
prosecutor	0.0806027
"bus driver"	0.0805895
operator	0.0804757
auditor	0.080256
banker	0.0799257
physician	0.0792802
"district attorney"	0.0784888
journalist	0.0784861
co-worker	0.0784825
"computer programmer"	0.0783588
handler	0.0777961
staff	0.0775817
veterinarian	0.0773598
"factory worker"	0.0773064
dispatcher	0.0771785
photographer	0.0770433
"ticket agent"	0.0769782
salespeople	0.0765447
owner	0.0763321
contractor	0.0760814
specialist	0.0757165
Programmer	0.0754705
personnel	0.075441
lifeguard	0.0752751
pilot	0.0752737
trainee	0.0752359
dealer	0.075041
principal	0.074933
hairdresser	0.0749225
intern	0.0747617
professional	0.0746981
broker	0.0743213
therapist	0.0737262
detective	0.0737071
"college student"	0.073646
psychologist	0.0736199
housewife	0.0735382
"civil servant"	0.073491
dentist	0.0734387
librarian	0.0733739
schoolteacher	0.0733066
investigator	0.0733049
Cop	0.0732225
psychiatrist	0.072935
aide	0.0727877
Sergeant	0.0726758
custodian	0.0725788
carpenter	0.0723962
"investment banker"	0.0723868
volunteer	0.072262
designer	0.0717299
prostitute	0.0713849
chef	0.0711283
inspector	0.0706439
priest	0.0705755
official	0.0705521
translator	0.0704285
bureaucrat	0.0702944
Cook	0.0699772
shopper	0.0698707
"young man"	0.0697533
laborer	0.0697384
Magistrate	0.0696931
helper	0.0696797
bodyguard	0.069553
student	0.0694134
reporter	0.0693309
pastor	0.0688312
superintendent	0.0687736
controller	0.0686297
educator	0.0686045
seamstress	0.0681207
Counsel	0.0680117
patron	0.0679682
"real estate agent"	0.0678782
firefighter	0.0677083
"prison guard"	0.0676349
"disc jockey"	0.067599
homemaker	0.067347
associate	0.0670064
trooper	0.0665314
trader	0.0663883
"FBI agent"	0.0663548
boss	0.0662065
editor	0.06619
surgeon	0.0656246
publicist	0.0655865
director	0.0653942
planner	0.0652609
adviser	0.065134
someone	0.0650715
trainer	0.0649013
writer	0.0648746
customer	0.0646688
commissioner	0.0646516
marshal	0.0645185
girlfriend	0.0644704
Sheriff	0.0644687
chaplain	0.0644661
pediatrician	0.0643366
rabbi	0.064149
colleague	0.0640914
vendor	0.0639327
scientist	0.0638669
"chief justice"	0.0636805
shopkeeper	0.0635281
"sales manager"	0.0630846
"private investigator"	0.0628797
interpreter	0.0628504
guard	0.0627884
architect	0.0627574
hostess	0.0626506
correspondent	0.0624916
deputy	0.0624367
treasurer	0.06223
stewardess	0.0620875
"public defender"	0.0620613
caseworker	0.0615655
researcher	0.0615002
scout	0.0611255
professor	0.061122
nanny	0.0610601
woman	0.0609593
chemist	0.0607433
foreman	0.0606698
teen-ager	0.0605276
businessman	0.06047
artist	0.060204
representative	0.0599498
musician	0.0599494
trustee	0.0598743
gardener	0.0597753
person	0.0597165
missionary	0.0597153
graduate	0.0596256
salesmen	0.059577
lobbyist	0.0595391
lecturer	0.0595078
folk	0.0594979
curator	0.0594942
"young woman"	0.059397
salesperson	0.0593952
friend	0.0591846
conductor	0.0591262
legislator	0.0589703
paramedic	0.0589167
entrepreneur	0.0588786
apprentice	0.0586093
farmer	0.0585852
))
(Cleveland (desc 85411.8) (sims
Detroit	0.301159
Baltimore	0.294817
Toronto	0.290089
Milwaukee	0.286819
Cincinnati	0.279181
Oakland	0.276542
Seattle	0.27399
"St. Louis"	0.270985
Pittsburgh	0.267314
Philadelphia	0.266978
Chicago	0.265308
Boston	0.26412
"San Diego"	0.263901
"Tampa Bay"	0.263861
"Kansas City"	0.25814
Houston	0.257592
Atlanta	0.248334
ANAHEIM	0.248215
Dallas	0.24798
Denver	0.24567
Montreal	0.244572
Minnesota	0.244294
Portland	0.237359
Phoenix	0.237173
Orlando	0.227192
Sacramento	0.217062
Miami	0.215543
"San Antonio"	0.213901
"San Francisco"	0.212195
Vancouver	0.21204
Buffalo	0.209114
Charlotte	0.203702
"Green Bay"	0.202404
"Los Angeles"	0.201828
Indianapolis	0.199996
Arizona	0.198735
"New Orleans"	0.197263
Colorado	0.194182
"Cleveland Indians"	0.193392
Jacksonville	0.193281
Mets	0.189449
"San Jose"	0.187534
"Chicago White Sox"	0.186322
"New York Mets"	0.186186
Carolina	0.183745
"New York"	0.179854
Edmonton	0.179582
Yankee	0.179458
Nashville	0.177002
Columbus	0.174212
Indiana	0.174006
Giants	0.173739
"Chicago Cubs"	0.17115
Utah	0.17018
ASTROS	0.169475
"New York Yankees"	0.169048
"Red Sox"	0.166882
Orioles	0.166354
"White Sox"	0.166187
cub	0.163093
Phillies	0.161685
Tampa	0.161278
dodger	0.160775
brave	0.160728
Texas	0.159951
Minneapolis	0.158284
Calgary	0.158156
"New Jersey"	0.156768
Florida	0.155521
"Boston Red Sox"	0.153525
"blue jay"	0.151164
mariner	0.150825
"Golden State"	0.150261
Padre	0.149149
ranger	0.148181
Washington	0.147935
A's	0.144277
Ottawa	0.142574
Tennessee	0.140921
diamondback	0.140342
Memphis	0.139794
"Los Angeles Dodgers"	0.139347
cardinal	0.13861
Syracuse	0.138134
"New York Giants"	0.138087
Lakers	0.137125
"Los Angeles Lakers"	0.136184
"Atlanta Braves"	0.135528
marlin	0.13426
Louisville	0.134032
"Houston Astros"	0.13289
"Baltimore Orioles"	0.132884
Indian	0.132636
"Las Vegas"	0.131881
"Toronto Blue Jays"	0.131646
"Texas Rangers"	0.131383
"St. Louis Cardinals"	0.129425
clipper	0.12941
"New England"	0.128049
"Cincinnati Reds"	0.127951
Richmond	0.12757
"Florida Marlins"	0.127331
"New York Jets"	0.12727
"Los Angeles Clippers"	0.126804
"Salt Lake City"	0.126588
angel	0.125624
Sox	0.125306
Royals	0.125226
"San Diego Padres"	0.125193
"Arizona Diamondbacks"	0.125123
Knicks	0.123954
"Detroit Tigers"	0.123356
"devil ray"	0.122719
"Seattle Mariners"	0.122574
"Pittsburgh Pirates"	0.121759
Hartford	0.119514
Rockies	0.118007
"Milwaukee Brewers"	0.117393
Kentucky	0.115827
"Anaheim Angels"	0.115422
Newark	0.114335
Austin	0.11406
Tulsa	0.112814
Providence	0.112702
"Montreal Expos"	0.112579
"San Francisco Giants"	0.112546
Expo	0.112544
"Colorado Rockies"	0.111152
Celtics	0.111086
"New York Islanders"	0.110404
"New York City"	0.110251
"Kansas City Royals"	0.110221
"Minnesota Vikings"	0.108798
"Oakland Athletics"	0.108668
"Philadelphia Phillies"	0.108375
pirate	0.108275
L.A	0.107659
UCLA	0.107615
Nebraska	0.107419
"Indiana Pacers"	0.107264
Michigan	0.107104
pacer	0.106366
"New York Rangers"	0.106197
Honolulu	0.106196
"Cleveland Browns"	0.105936
Tucson	0.105549
USC	0.105381
Rochester	0.105346
"Long Beach"	0.104861
Albuquerque	0.104833
"North Carolina"	0.104608
Seahawks	0.103933
Oregon	0.103701
LSU	0.103406
"Oklahoma State"	0.10336
Birmingham	0.103304
Wisconsin	0.103235
"Oregon State"	0.10313
Stanford	0.103008
"Ohio State"	0.10251
Connecticut	0.10249
"New York Knicks"	0.101976
"Fort Worth"	0.101796
Purdue	0.101711
Arkansas	0.101231
"Arizona State"	0.100624
"Penn State"	0.100218
"Minnesota Twins"	0.100111
Dayton	0.0999838
Eagles	0.0999313
Georgia	0.0999189
islander	0.0993637
"Florida State"	0.0993163
"Indianapolis Colts"	0.0989942
Kansas	0.098946
BEARS	0.0987707
Bengals	0.0986032
Iowa	0.0984613
Oklahoma	0.0983311
Raleigh	0.0983256
"Southern California"	0.0980558
"San Antonio Spurs"	0.0979538
Alabama	0.0979454
"Kansas State"	0.0978155
Greenville	0.0976691
"Notre Dame"	0.0975073
Auburn	0.0967568
tiger	0.0967453
Sonics	0.0965383
Virginia	0.0962159
"Tampa Bay Devil Rays"	0.0955299
"Washington Redskins"	0.0953489
Albany	0.0952638
piston	0.0951896
Redskin	0.0949215
brewer	0.0948158
Maryland	0.0946911
MetroStars	0.0945462
Raptor	0.0944523
"Red Wings"	0.0940329
))
("Cleveland Browns" (desc 12778.6) (sims
"Chicago Bears"	0.250311
"Philadelphia Eagles"	0.223209
"Washington Redskins"	0.222408
"Detroit Lions"	0.207809
"Miami Dolphins"	0.207404
"Dallas Cowboys"	0.204322
"San Francisco @@ers"	0.203562
"New England Patriots"	0.203253
"New York Jets"	0.202859
"New York Giants"	0.202466
"Minnesota Vikings"	0.201774
"Tampa Bay Buccaneers"	0.201458
"New Orleans Saints"	0.199031
"Baltimore Ravens"	0.197708
"Kansas City Chiefs"	0.197653
"Carolina Panthers"	0.19579
"ATLANTA FALCONS"	0.195152
"Oakland Raiders"	0.19506
"St. Louis Rams"	0.194317
"San Diego Chargers"	0.18843
"Buffalo Bills"	0.183951
"Indianapolis Colts"	0.18324
"Seattle Seahawks"	0.182942
"Denver Broncos"	0.176983
"Arizona Cardinals"	0.167863
"Cincinnati Bengals"	0.165357
"Green Bay Packers"	0.164726
"Pittsburgh Steelers"	0.162462
"Houston Oilers"	0.160447
Redskin	0.146399
"Los Angeles Clippers"	0.142381
Giants	0.140708
"Jacksonville Jaguars"	0.140292
"Charlotte Hornets"	0.140126
"Dallas Mavericks"	0.13966
BEARS	0.137198
"Los Angeles Rams"	0.136369
"Milwaukee Bucks"	0.13492
"Nashville Predators"	0.133641
"Atlanta Thrashers"	0.12886
"Golden State Warriors"	0.12663
"Tennessee Titans"	0.126378
Seahawks	0.125343
Celtics	0.124961
"Chicago Bulls"	0.124073
Bengals	0.12308
oiler	0.122949
"Detroit Pistons"	0.122423
patriot	0.121487
falcon	0.121156
ram	0.120775
"New York Knicks"	0.12031
raider	0.119951
"St. Louis Cardinals"	0.119332
"Milwaukee Brewers"	0.119232
"Los Angeles Dodgers"	0.118108
packer	0.117782
clipper	0.117698
"Kansas City Royals"	0.116281
"Los Angeles Lakers"	0.116233
Eagles	0.115993
"Tampa Bay"	0.11549
"Utah Jazz"	0.113578
colt	0.112832
cowboy	0.11278
"Arizona Diamondbacks"	0.112348
"Montreal Canadiens"	0.112124
cardinal	0.111924
"Orlando Magic"	0.111123
bronco	0.110597
"Washington Wizards"	0.110296
charger	0.110173
Raven	0.109861
"Denver Nuggets"	0.109077
"Calgary Flames"	0.108894
"New York Rangers"	0.10776
panther	0.10729
Steelers	0.106669
"New York Islanders"	0.106305
"Pittsburgh Penguins"	0.106124
Cleveland	0.105936
"Houston Rockets"	0.105647
Viking	0.105219
"Sacramento Kings"	0.104947
"Oakland Athletics"	0.104698
"New Jersey Nets"	0.104497
"Cincinnati Reds"	0.104354
"Boston Celtics"	0.104293
"Baltimore Orioles"	0.102989
"New York Yankees"	0.10276
"Indiana Pacers"	0.102644
thrasher	0.102619
"Vancouver Canucks"	0.102565
A's	0.102336
"San Antonio Spurs"	0.101886
"Atlanta Hawks"	0.101689
"Colorado Rockies"	0.100809
dolphin	0.100723
"New York Mets"	0.100655
"Atlanta Braves"	0.100167
"Philadelphia Flyers"	0.100147
"Edmonton Oilers"	0.100112
"Detroit Tigers"	0.1
Orioles	0.0991586
"Minnesota Twins"	0.0989085
"Boston Red Sox"	0.0983242
"Tampa Bay Lightning"	0.0981483
"Los Angeles Kings"	0.0977623
"Washington Capitals"	0.0975982
"Chicago Cubs"	0.097422
"Chicago White Sox"	0.0965883
"Houston Astros"	0.0964315
"Texas Rangers"	0.0963807
"Tampa Bay Devil Rays"	0.0958747
"Montreal Expos"	0.095799
"Phoenix Suns"	0.0956299
"Green Bay"	0.0955425
"New Jersey Devils"	0.0953263
"San Diego Padres"	0.0944173
"Toronto Maple Leafs"	0.0942297
marlin	0.0939105
"Miami Heat"	0.0936684
"Cleveland Indians"	0.0935607
Jaguar	0.0930783
bruin	0.0930027
piston	0.0929325
"Phoenix Coyotes"	0.0928453
Brown	0.0922932
Raptor	0.0919842
diamondback	0.0919054
Lakers	0.0919043
"Anaheim Angels"	0.0918048
"Red Wings"	0.0915129
"Pittsburgh Pirates"	0.0897556
islander	0.0895948
"Toronto Raptors"	0.0893583
Minnesota	0.0888739
"White Sox"	0.0888544
"Minnesota Timberwolves"	0.0885837
"Detroit Red Wings"	0.0884411
"Maple Leafs"	0.0884082
dodger	0.0881492
"Philadelphia Phillies"	0.0881236
"Mighty Ducks"	0.0880338
"Cleveland Cavaliers"	0.0878627
"Boston Bruins"	0.0877691
"Red Sox"	0.0874812
"Seattle Mariners"	0.0873506
"Washington Senators"	0.0873462
maverick	0.0870227
"Florida Marlins"	0.0867544
"Buffalo Sabres"	0.0866284
"blue jay"	0.0865264
"Florida Panthers"	0.0863902
grizzly	0.0862918
Canadiens	0.0862806
"Toronto Blue Jays"	0.086123
Dallas	0.086101
Carolina	0.085522
"Seattle SuperSonics"	0.0845333
"Portland Trail Blazers"	0.0845293
Phillies	0.0839762
Mets	0.0839465
jet	0.0839294
Royals	0.0833595
Knicks	0.0832058
"Dallas Stars"	0.0831701
MetroStars	0.0831335
"San Jose Sharks"	0.0830676
"Colorado Avalanche"	0.0830082
Denver	0.0823674
"Chicago Blackhawks"	0.0823225
ranger	0.0819436
"St. Louis Blues"	0.081334
Timberwolves	0.0809332
Padre	0.0808806
brave	0.0808799
Detroit	0.0805158
bulldog	0.0803738
"Boston College"	0.0802671
Baltimore	0.0802186
Blackhawks	0.0800771
flyer	0.0797452
Oakland	0.0795274
"San Francisco Giants"	0.0792386
Hornet	0.0792071
Vancouver	0.0788522
Bucs	0.0785037
Saint	0.0784495
"New York-New Jersey MetroStars"	0.0783343
Milwaukee	0.0783084
"New York Liberty"	0.0782396
"Crimson Tide"	0.0776958
"Arizona State"	0.0775398
Philadelphia	0.0773964
"Baltimore Colts"	0.0772343
cub	0.0770755
cavalier	0.0769874
"Golden State"	0.0768853
Cincinnati	0.0768534
))
("Cleveland Cavaliers" (desc 3493.98) (sims
"Denver Nuggets"	0.213561
"Washington Wizards"	0.194551
"Golden State Warriors"	0.192255
"Seattle SuperSonics"	0.188204
"Dallas Mavericks"	0.185506
"Toronto Raptors"	0.184668
"Miami Heat"	0.182935
"Vancouver Grizzlies"	0.178489
"New York-New Jersey MetroStars"	0.178268
"New Jersey Nets"	0.176518
"Sacramento Kings"	0.176004
"Milwaukee Bucks"	0.175566
"Los Angeles Clippers"	0.172815
"Charlotte Hornets"	0.171263
"Nashville Predators"	0.170306
"Orlando Magic"	0.167441
"Phoenix Suns"	0.166493
"Atlanta Hawks"	0.164223
"Dallas Burn"	0.161843
"Houston Rockets"	0.158622
"Los Angeles Lakers"	0.155771
"Portland Trail Blazers"	0.155682
"Indiana Pacers"	0.15517
"Detroit Pistons"	0.152585
"Minnesota Timberwolves"	0.150784
"Boston Celtics"	0.148027
"Calgary Flames"	0.139417
"Vancouver Canucks"	0.138549
"Chicago Bulls"	0.138183
Cavs	0.137043
"Utah Jazz"	0.133492
cavalier	0.132228
"New York Knicks"	0.130665
"San Diego Chargers"	0.129312
"San Antonio Spurs"	0.127592
"Chicago Bears"	0.126831
"Indianapolis Colts"	0.126325
"Miami Fusion"	0.126113
"Washington Mystics"	0.125029
"Toronto Maple Leafs"	0.122252
"CHARLOTTE STING"	0.121346
"New York Liberty"	0.119977
"New England Patriots"	0.119634
"Chicago Blackhawks"	0.119631
"Edmonton Oilers"	0.119078
"Phoenix Mercury"	0.117795
clipper	0.116593
"Green Bay Packers"	0.116113
"Philadelphia Eagles"	0.114677
"Kansas City Chiefs"	0.113756
"Tampa Bay Lightning"	0.113176
"Philadelphia Flyers"	0.112941
"Atlanta Thrashers"	0.107456
"San Jose Sharks"	0.107337
"Milwaukee Brewers"	0.10598
"Washington Redskins"	0.105862
Timberwolves	0.103436
"Anaheim Mighty Ducks"	0.102999
"New Orleans Saints"	0.101813
"New York Giants"	0.101419
"Detroit Tigers"	0.101162
"Phoenix Coyotes"	0.101145
"Seattle Seahawks"	0.0985935
"Miami Dolphins"	0.0982853
"Detroit Lions"	0.0982722
"Dallas Stars"	0.0979128
"Oakland Athletics"	0.0976175
Celtics	0.0959486
"Ottawa Senators"	0.0959412
"Montreal Expos"	0.0959134
"Carolina Panthers"	0.0958016
"Colorado Avalanche"	0.0950341
"Buffalo Bills"	0.0950081
"Chicago Fire"	0.0947629
"New Jersey Devils"	0.0947448
"Detroit Red Wings"	0.0945698
"Oakland Raiders"	0.093758
"Tennessee Titans"	0.0932992
"Kansas City Royals"	0.0932267
"New York Rangers"	0.0927091
"Los Angeles Kings"	0.0921069
"Dallas Cowboys"	0.0920459
Lakers	0.0919855
"Philadelphia Phillies"	0.0916034
"Boston Bruins"	0.0914989
"Pittsburgh Pirates"	0.0907933
"Toronto Blue Jays"	0.0904744
"Pittsburgh Penguins"	0.0893872
"San Francisco @@ers"	0.0893449
"Minnesota Vikings"	0.0892995
"Arizona Cardinals"	0.0885468
"New York Islanders"	0.0884434
"Seattle Mariners"	0.0881684
"Cleveland Browns"	0.0878627
"Tampa Bay Devil Rays"	0.0875957
"Buffalo Sabres"	0.0873504
"Cincinnati Bengals"	0.0869929
"Maple Leafs"	0.0869394
pacer	0.0865132
"Carolina Hurricanes"	0.0859549
oiler	0.0851004
"Montreal Canadiens"	0.0850692
"Minnesota Twins"	0.0849733
"Florida Panthers"	0.0844506
"Houston Astros"	0.0842305
"St. Louis Rams"	0.0833786
"Mighty Ducks"	0.0833562
MetroStars	0.0826052
piston	0.0825159
"Trail Blazers"	0.082114
Canadiens	0.0816232
"New York Jets"	0.0815851
"D.C. United"	0.0814306
"Los Angeles Sparks"	0.0804732
"Arizona Diamondbacks"	0.0796159
"Fighting Irish"	0.0791852
Giants	0.0790331
"Washington Capitals"	0.0785141
panther	0.0780183
"ATLANTA FALCONS"	0.0770637
"St. Louis Cardinals"	0.0763806
"Baltimore Ravens"	0.0759717
BEARS	0.0755557
Sonics	0.0755236
"San Diego Padres"	0.0755233
grizzly	0.0752876
"Cleveland Indians"	0.0751845
Villanova	0.0750071
Bengals	0.07474
Hornet	0.0747269
Seahawks	0.0746974
"Utah State"	0.0738402
"Los Angeles Rams"	0.073574
"Baltimore Colts"	0.0731522
"Golden State"	0.0727399
"Iowa State"	0.0726352
"Baltimore Orioles"	0.0722636
Lobos	0.0722282
maverick	0.0721495
"Denver Broncos"	0.0718097
"Oklahoma State"	0.0717917
Nicol	0.0717541
Raptor	0.071722
wildcat	0.0715716
"Seibu Lions"	0.071373
raider	0.071317
"Chicago Cubs"	0.0709131
Eagles	0.0707558
packer	0.0707057
"Green Bay"	0.0705173
"Texas Rangers"	0.070506
Phillies	0.0704861
"Team USA"	0.0703972
sixer	0.0703412
"White Sox"	0.0703121
Redskin	0.0702923
"Colorado Rockies"	0.0701447
A's	0.0701145
"Mississippi State"	0.0700458
Rutgers	0.0700387
"Los Angeles Dodgers"	0.0700264
nugget	0.0699524
Padre	0.0698982
"Florida Marlins"	0.0694464
"Oregon State"	0.0693998
cub	0.0693627
bronco	0.0683837
Baylor	0.068296
Hawkeyes	0.0682636
Mantilla	0.0681914
"Los Angeles Galaxy"	0.0681394
"Tampa Bay"	0.0680377
"Tampa Bay Buccaneers"	0.0679271
"Cincinnati Reds"	0.0673867
"New York Mets"	0.0671275
"Wake Forest"	0.0670206
"Ball State"	0.0662262
flyer	0.0662244
"Virginia Tech"	0.0661971
poly	0.0661344
"blue jay"	0.0661154
Orioles	0.0659494
charger	0.0657404
falcon	0.0657172
"Pittsburgh Steelers"	0.0653878
"Fresno State"	0.0652227
"Seton Hall"	0.0650148
"Montana State"	0.0647443
"Tar Heels"	0.0647093
"Boston Red Sox"	0.0644326
"San Francisco Giants"	0.0643223
"Washington State"	0.0642372
"Boston College"	0.0641308
"Anaheim Angels"	0.0638189
"Cal State Fullerton"	0.063776
TCU	0.0637538
Carolina	0.0635461
Raven	0.063463
"San Jose State"	0.0630653
"Atlanta Braves"	0.0630271
))
("Cleveland Clinic" (desc 1151.82) (sims
"Mayo Clinic"	0.190591
"Memorial Sloan-Kettering Cancer Center"	0.181886
"Beth Israel Deaconess Medical Center"	0.170442
"Albany Medical Center"	0.155599
"Massachusetts General Hospital"	0.154283
Brigham	0.154127
"University of Cincinnati"	0.148926
MGH	0.148489
"Mount Sinai Medical Center"	0.148429
"Johns Hopkins"	0.134562
"Baylor College of Medicine"	0.131615
"Emory University"	0.128818
"University of Toronto"	0.121927
"school of medicine"	0.118119
"Harvard School of Public Health"	0.114231
Mayo	0.113354
"Johns Hopkins University"	0.112932
"Harvard Medical School"	0.108822
"Ohio State University"	0.106663
"Purdue University"	0.105954
"Wright-Patterson Air Force Base"	0.103984
"University of Pittsburgh"	0.102796
"Iowa State University"	0.0998914
"University of Alabama"	0.0995141
"University of Pennsylvania"	0.0982107
"Louisiana State University"	0.0962202
"University of Florida"	0.0956813
"Mount Sinai"	0.094621
UCSF	0.0935021
"Johnson Space Center"	0.0921225
"Urban Institute"	0.0897093
"Central Clinical Hospital"	0.0891534
Edgbaston	0.0881328
"University of Maryland"	0.0874376
Grady	0.0872365
"University Hospital"	0.0863803
Dana-Farber	0.0859926
"Michigan State University"	0.0857734
"University of Minnesota"	0.0847767
"University of Arkansas"	0.083739
"University of Dayton"	0.0830399
"University of Missouri"	0.0822134
"Brown University"	0.0807037
"University of Rochester"	0.0787467
"Cornell University"	0.0785618
"National Cancer Institute"	0.0781468
"University of New Mexico"	0.0774407
"Pennsylvania State University"	0.0763627
"Mount Sinai Hospital"	0.0758645
NCI	0.0758445
"Colorado State University"	0.0757755
"Columbia University"	0.0746365
"University of Kentucky"	0.074082
"Duke University"	0.0728571
"Mercy Hospital"	0.0722532
"University of Washington"	0.0716521
"University of North Carolina"	0.071598
"Kaiser Permanente"	0.0712262
Emory	0.0704067
"Kansas State University"	0.0699172
"Stanford University"	0.0697779
"Syracuse University"	0.0688808
"University of Arizona"	0.0685287
"University of Kansas"	0.0679318
"University of Illinois"	0.0679311
"Georgetown University"	0.0654572
"Yale university"	0.0653103
"University of Utah"	0.0644833
"Oak Ridge"	0.0639704
"Vanderbilt University"	0.0639698
"University of Iowa"	0.0636324
"National Institutes of Health"	0.0632224
"University of New Hampshire"	0.0627259
"Kent State"	0.0626063
"Harvard University"	0.0623235
"University of Miami"	0.0617304
"Washington University"	0.0607503
"Temple University"	0.060374
"George Washington University"	0.0601819
"Tufts University"	0.0598172
"Bell Laboratories"	0.0575092
"Olympic Trials"	0.0570552
"University of Michigan"	0.05696
"Methodist Hospital"	0.0563567
"University of Wisconsin"	0.0562854
"Rutgers University"	0.0558511
"Carnegie Mellon University"	0.0555051
"Beth Israel"	0.0554274
"General Hospital"	0.0553366
"Rockefeller University"	0.0551495
"St. Luke"	0.0549085
"Cambridge University"	0.0548182
Scripps	0.0547099
"South Pole"	0.0546684
"University of Nebraska"	0.0545788
Eton	0.0543548
NIH	0.0539128
"California Institute of Technology"	0.0536548
"Brookings Institution"	0.0532716
"University of Southern California"	0.0532583
JAMA	0.0529548
UNC	0.0529299
"Brigham Young University"	0.0526162
"Oxford University"	0.0525445
"military hospital"	0.0523611
"Chinese University of Hong Kong"	0.0520766
"American Lung Association"	0.0519119
"Princeton University"	0.0515085
"Northwestern University"	0.0511244
"RAND Corp."	0.0508677
Forrester	0.0508639
Morehouse	0.0508435
"Defense Fund"	0.0503052
"Texas Tech University"	0.0502825
Framingham	0.0500737
"University of Hawaii"	0.0496531
tuft	0.0495177
"University of Oklahoma"	0.0490638
"Fordham University"	0.0486973
menopause	0.0486528
"Consumers Union"	0.0485734
"Bell Labs"	0.0484511
"Veterans Administration"	0.0483088
"Walt Disney World"	0.0482234
"University of Georgia"	0.0478132
Immunology	0.047641
"Brandeis University"	0.0475345
"Piedmont Hospital"	0.0474994
"Miami Fusion"	0.047352
"ATP Championship"	0.0472827
"University of Connecticut"	0.0464151
"psychiatric hospital"	0.0463895
"University of Hong Kong"	0.046141
raloxifene	0.046001
"SmithKline Beecham"	0.0459586
"University of Colorado"	0.0450394
Kettering	0.0448758
"Halliburton Co."	0.0446413
UGA	0.0445575
"University of Oregon"	0.0444745
"Johannesburg International Airport"	0.0444401
"Freedom Forum"	0.0443921
CalTech	0.0443687
"San Francisco State University"	0.0440541
"United Republic of Tanzania"	0.0440477
"Dana-Farber Cancer Institute"	0.0437241
"World Swimming Championships"	0.0437209
"Heritage Foundation"	0.0437059
"Woods Hole"	0.0436973
"Families USA"	0.0436116
"Family Research Council"	0.0434595
"College Board"	0.0433245
"Royal National Theater"	0.0427951
Ness	0.0427343
"Arizona State University"	0.042669
"University of Tennessee"	0.0425061
"Disease Control"	0.0424398
"Juilliard School"	0.0422926
Belfry	0.0422038
"Howard University"	0.0421196
"Hearst Corporation"	0.0417578
MSF	0.0417102
"University of Houston"	0.0416122
"Serbian Orthodox Church"	0.0415903
"Tehran University"	0.0411778
"Harvard Business School"	0.0408524
Arkin	0.0406168
"Washington State University"	0.040449
))
("Cleveland Indians" (desc 21000.7) (sims
"Boston Red Sox"	0.324027
"San Diego Padres"	0.29704
"Houston Astros"	0.2902
"Detroit Tigers"	0.284227
"Texas Rangers"	0.283963
"Los Angeles Dodgers"	0.282591
"Cincinnati Reds"	0.275608
"Oakland Athletics"	0.275396
"Atlanta Braves"	0.272206
"Chicago Cubs"	0.267615
"Pittsburgh Pirates"	0.266629
"New York Yankees"	0.265667
"New York Mets"	0.26558
"St. Louis Cardinals"	0.265029
"Baltimore Orioles"	0.26219
"Seattle Mariners"	0.259778
"Kansas City Royals"	0.255892
"Arizona Diamondbacks"	0.253535
"Chicago White Sox"	0.251129
"Colorado Rockies"	0.245906
"Toronto Blue Jays"	0.245075
"Milwaukee Brewers"	0.243185
"Minnesota Twins"	0.240384
"Anaheim Angels"	0.237823
"San Francisco Giants"	0.235249
"Florida Marlins"	0.234209
"Tampa Bay Devil Rays"	0.229327
"Philadelphia Phillies"	0.220328
"White Sox"	0.217993
"Red Sox"	0.206863
"Montreal Expos"	0.206493
Orioles	0.204577
A's	0.200595
Mets	0.200018
Cleveland	0.193392
Yankee	0.192494
ASTROS	0.191405
"blue jay"	0.191229
cub	0.186497
Padre	0.185065
brave	0.179468
diamondback	0.179328
Phillies	0.177957
dodger	0.177175
Indian	0.177084
Giants	0.172563
"devil ray"	0.164754
ranger	0.161945
mariner	0.157943
Royals	0.157755
Oakland	0.151728
"Los Angeles Lakers"	0.151633
marlin	0.149113
"New York Giants"	0.14884
"Washington Redskins"	0.147426
"California Angels"	0.146817
"Chicago Bulls"	0.146037
cardinal	0.145565
Expo	0.14534
"Detroit Red Wings"	0.143353
angel	0.141378
Sox	0.13852
"Washington Capitals"	0.137664
"Dallas Stars"	0.137397
"New York Knicks"	0.134058
"Edmonton Oilers"	0.133808
"Utah Jazz"	0.133051
"Indiana Pacers"	0.131573
Cincinnati	0.131044
"Colorado Avalanche"	0.130816
"Houston Rockets"	0.12958
pirate	0.12936
ANAHEIM	0.128884
"Minnesota Vikings"	0.128464
"Florida Panthers"	0.128247
"Tampa Bay"	0.128237
"Calgary Flames"	0.12759
"Sacramento Kings"	0.12748
"Miami Dolphins"	0.127372
"Atlanta Hawks"	0.127146
"Phoenix Suns"	0.126501
Toronto	0.125896
"Toronto Maple Leafs"	0.125503
"Indianapolis Colts"	0.125361
"San Antonio Spurs"	0.124917
"Portland Trail Blazers"	0.123051
"Golden State Warriors"	0.122943
Baltimore	0.122932
"Dallas Cowboys"	0.122718
"Brooklyn Dodgers"	0.12221
"Green Bay Packers"	0.121896
"New York Rangers"	0.121524
"St. Louis Blues"	0.12145
brewer	0.121328
"Philadelphia Flyers"	0.1199
"San Diego"	0.119233
"Red Wings"	0.118949
"Miami Heat"	0.117636
"Milwaukee Bucks"	0.117305
Detroit	0.117161
"New York Jets"	0.11695
"Dallas Mavericks"	0.116756
"Detroit Pistons"	0.116583
Rockies	0.115397
"San Francisco @@ers"	0.115359
"Los Angeles Clippers"	0.115257
"Arizona Cardinals"	0.114611
Lakers	0.114522
"Ottawa Senators"	0.114005
"Vancouver Canucks"	0.113584
"Montreal Canadiens"	0.113547
Milwaukee	0.113494
"Buffalo Sabres"	0.113417
pacer	0.112935
"Washington Senators"	0.112732
"St. Louis"	0.112638
Knicks	0.112334
"Tampa Bay Lightning"	0.111101
"Denver Broncos"	0.11042
"Pittsburgh Penguins"	0.109993
"Kansas City Chiefs"	0.109433
"Mighty Ducks"	0.109371
"New Jersey Devils"	0.109209
Redskin	0.108786
"New England Patriots"	0.108601
"Minnesota Timberwolves"	0.108494
"Boston Celtics"	0.107935
"St. Louis Rams"	0.107852
"Nashville Predators"	0.107621
Celtics	0.10757
"San Jose Sharks"	0.107356
"ATLANTA FALCONS"	0.106974
"Carolina Hurricanes"	0.106883
"Boston Bruins"	0.106255
"Miami Fusion"	0.106252
tiger	0.106003
"San Diego Chargers"	0.10571
Minnesota	0.10569
Pittsburgh	0.105047
"Seattle Seahawks"	0.104686
"Oakland Raiders"	0.104554
Montreal	0.104389
"New York Islanders"	0.104313
"Kansas City"	0.104207
"Chicago Bears"	0.10407
Colorado	0.103858
"D.C. United"	0.103827
Canadiens	0.103612
"Los Angeles Kings"	0.103459
"Orlando Magic"	0.103392
"Philadelphia Eagles"	0.102529
Boston	0.102509
Seattle	0.102473
Atlanta	0.102052
oiler	0.102024
BEARS	0.101931
Arizona	0.101703
clipper	0.101304
"New Jersey Nets"	0.101238
"Washington Wizards"	0.101192
"Chicago Fire"	0.100745
"Dallas Burn"	0.100565
"Chicago Blackhawks"	0.100222
panther	0.100214
"Vancouver Grizzlies"	0.0996722
"Charlotte Hornets"	0.0988576
MetroStars	0.098845
Seahawks	0.098659
"Seattle SuperSonics"	0.0986211
piston	0.0978949
"Phoenix Coyotes"	0.0975739
"Buffalo Bills"	0.0974773
Houston	0.0973631
"New Orleans Saints"	0.097351
"Green Bay"	0.0968188
Viking	0.0960952
"Tampa Bay Buccaneers"	0.0957723
"Denver Nuggets"	0.0947655
Eagles	0.0947391
sabre	0.0944665
bruin	0.093891
"Maple Leafs"	0.0938157
twin	0.0936207
"Cleveland Browns"	0.0935607
"Tennessee Titans"	0.0925341
bull	0.0920583
Edmonton	0.0919144
Canuck	0.0918542
"Toronto Raptors"	0.0918268
Philadelphia	0.0913169
"Pittsburgh Steelers"	0.0912612
Timberwolves	0.0911592
maverick	0.0908245
red	0.0900255
flyer	0.0897548
Bengals	0.0896958
"Oregon State"	0.0895785
packer	0.0893873
"Detroit Lions"	0.0887552
Portland	0.0882879
))
("Cleveland Orchestra" (desc 1338.95) (sims
"Philadelphia Orchestra"	0.318368
"New York Philharmonic"	0.220743
"Berlin Philharmonic"	0.189733
"Boston Symphony Orchestra"	0.188262
"Vienna Philharmonic"	0.18293
"Boston Pops"	0.156745
"Boston Symphony"	0.154518
BSO	0.100504
Philharmonic	0.0858553
"New York City Opera"	0.0761477
"Royal Ballet"	0.074574
"Seiji Ozawa"	0.0677459
"New York City Ballet"	0.0671268
"Metropolitan Opera"	0.0645138
"ballet company"	0.0580797
"chamber orchestra"	0.0521295
ASO	0.052079
emphases	0.0515436
tiller	0.0512079
"La Scala"	0.0504058
"symphony orchestra"	0.0500858
"Public Theater"	0.0484322
wallaby	0.0484308
Kook	0.0483361
"Roundabout Theater Company"	0.0482784
Cliburn	0.0471387
Handel	0.0460577
"Pakistan People's Party"	0.0455932
"District Council"	0.0440367
Wada	0.0433051
Yoakam	0.0427457
"Underground Railroad"	0.0415701
sextet	0.0414816
"bird of prey"	0.0408283
"U.S. Soccer Federation"	0.0408152
McKnight	0.0406683
"Monetary Policy Committee"	0.0404317
"Lei Feng"	0.0401755
))
(cleverness (desc 4548.45) (sims
spunk	0.0883907
wit	0.0879156
ingenuity	0.0877704
sophistication	0.087409
thinness	0.0825183
spontaneity	0.0816384
charisma	0.0765914
Creativity	0.0744052
elegance	0.0735195
humor	0.073465
flair	0.0729102
verve	0.0710525
"sense of humor"	0.0698731
bravado	0.0694799
intellect	0.0678969
subtlety	0.0670611
theatricality	0.0668275
originality	0.0661363
whimsy	0.0658688
clarity	0.0653985
brevity	0.0653879
fluidity	0.0646359
boldness	0.0628658
craftsmanship	0.0623507
self-confidence	0.0622041
fortitude	0.0619846
warmth	0.0618708
artistry	0.0616352
virtuosity	0.0616236
willpower	0.0606656
richness	0.0601462
eloquence	0.0600897
self-awareness	0.060058
courage	0.0599296
weirdness	0.0597836
oomph	0.0588484
perseverance	0.056413
exhilaration	0.0562379
lightness	0.0560602
willfulness	0.0560584
guile	0.0558053
brilliance	0.0557099
knack	0.0556682
artifice	0.0556586
realism	0.0553916
brio	0.0551993
insouciance	0.0549298
savvy	0.0548947
giddiness	0.054813
composure	0.0547489
dedication	0.0545795
honesty	0.0543622
dexterity	0.0538704
flamboyance	0.0538323
Panache	0.0536947
irreverence	0.0536618
exuberance	0.0533329
agility	0.0521735
vigor	0.0520587
frankness	0.0520277
freshness	0.0520249
gimmick	0.0517142
buoyancy	0.0516733
bleakness	0.0516108
pizazz	0.0515307
brashness	0.0513813
moxie	0.0512614
precision	0.0512391
grit	0.0510365
slickness	0.0510055
vibrancy	0.0509828
suspense	0.0508786
trickery	0.0507081
likability	0.0506296
believability	0.0506284
chutzpah	0.0505613
absurdity	0.0503909
curiosity	0.050362
practicality	0.0503409
quirkiness	0.0499439
authenticity	0.0499181
acumen	0.0496413
vitality	0.0495422
fearlessness	0.0494645
refinement	0.0493421
sweetness	0.0493142
humility	0.0492377
poignancy	0.0489855
generosity	0.0489619
candor	0.0488044
hardness	0.0484878
strangeness	0.0483148
tenacity	0.0482637
quickness	0.0481629
selfishness	0.0478991
phrasing	0.0474669
"raw talent"	0.0474046
showmanship	0.0472256
self-discipline	0.0470619
explosiveness	0.0470487
persistence	0.0470472
coherence	0.047047
earnestness	0.0470184
naivete	0.0469158
tenderness	0.0468918
serenity	0.0467813
sincerity	0.046757
proficiency	0.0467442
"set piece"	0.0464985
"safety feature"	0.046045
"civic pride"	0.0458589
outrageousness	0.0457797
timidity	0.0457267
compassion	0.0455294
simplicity	0.0455073
timbre	0.0454617
stubbornness	0.0450758
sentimentality	0.0449858
brawn	0.0448921
tact	0.0448328
sass	0.0448219
versatility	0.0448041
collegiality	0.0447391
physicality	0.0446798
nuance	0.0446507
lucidity	0.0444312
stamina	0.044422
self-deprecation	0.0443701
"high spirits"	0.0443091
glamour	0.0440752
conceit	0.0440575
professionalism	0.0439561
profundity	0.0437564
unpredictability	0.0435159
rightness	0.0434378
silliness	0.0434121
gumption	0.0434087
combativeness	0.0434014
"sleight of hand"	0.0433653
finesse	0.0433471
playfulness	0.0432331
sarcasm	0.0432171
eccentricity	0.0430177
potency	0.0429825
elan	0.0429293
pacing	0.0429279
purity	0.0428695
deftness	0.0427578
inventiveness	0.0426093
bluntness	0.0423122
"running time"	0.0422936
pathos	0.0419612
hubris	0.0418555
intimacy	0.0417961
friendliness	0.0415579
orderliness	0.0415299
lyricism	0.0415294
heft	0.0415128
punctuality	0.0414577
orchestration	0.0413877
acuity	0.0413598
breadth	0.0413227
Cunning	0.0413043
immediacy	0.0412967
modesty	0.0412503
toughness	0.0408652
sexiness	0.0406646
wallop	0.0402108
seriousness	0.0401222
glamor	0.040082
ebullience	0.0400723
))
(Cliburn (desc 872.793) (sims
"World Championship"	0.145477
"Pan Ams"	0.135488
Yoakam	0.116893
Krall	0.102597
"double gold"	0.0981454
Bocelli	0.0965916
"Golden League"	0.0895175
Raitt	0.08839
"Championship Auto Racing Teams"	0.0829617
Fech	0.0809362
"Italian Cup"	0.0804893
"jazz band"	0.0767404
ISU	0.0767035
"Louis Vuitton Cup"	0.0759416
pre-Olympic	0.0758952
skeet	0.0755116
"Parker Bowles"	0.0749526
Dench	0.0737919
"Atlanta Olympic"	0.0736258
Henning	0.0735757
Springsteen	0.0702491
Baryshnikov	0.0698627
EuroLeague	0.0698204
Ironman	0.0692131
"Pan Am Games"	0.0689339
Shatner	0.0687696
"Renee Fleming"	0.0680431
"Uber Cup"	0.0679079
Asiad	0.0676662
Heppner	0.0674973
Heptathlon	0.0673375
Pascal	0.0672803
netball	0.0662789
"mind's eye"	0.0657476
halfpipe	0.0657322
Hartman	0.0653639
"big band"	0.0644733
Pierson	0.0642934
"Federation Cup"	0.0635698
Nicol	0.0628174
bobsled	0.0625266
Yachting	0.0622865
sextet	0.0622414
"figure skating"	0.0621017
Gatling	0.062015
"stroke play"	0.0617693
Groucho	0.0613233
ten-day	0.0611269
Caruso	0.0610872
Wushu	0.0600189
Khai	0.0600158
"League Cup"	0.0599628
nine-time	0.0597096
"Skate America"	0.0596409
three-meter	0.05963
Liston	0.0596012
Burt	0.0593779
"Fairfax County"	0.0593238
"Next Generation"	0.0591517
epee	0.0590542
McEwan	0.0589501
Fiennes	0.0588347
"International Skating Union"	0.0588339
Sweeting	0.058288
Marceau	0.058159
"Special Olympics"	0.058053
"Busch Grand National"	0.0580185
"ski jump"	0.0579559
Trollope	0.0578613
Marley	0.0577959
"Nations Cup"	0.057753
Nailon	0.0576777
"European Cup"	0.0571522
Satcher	0.0571075
nonconference	0.0571011
decathlon	0.0570529
"Placido Domingo"	0.0570403
Yarnall	0.0569885
Braugher	0.0567128
CMA	0.0565396
eight-time	0.0563874
Terps	0.0562064
Crowe	0.0562045
Baerga	0.0561528
Kai	0.0561377
Blackman	0.056075
"middle distance"	0.0560343
Panchen	0.0560064
"ski jumping"	0.0560049
"Sudirman Cup"	0.055926
"field hockey"	0.0558796
"hammer throw"	0.0553648
"Richard Dreyfuss"	0.0553334
DiCaprio	0.0552538
Malkovich	0.0551305
"Chinese Olympic"	0.054966
"blue angel"	0.0548658
pentathlon	0.0546238
"World League"	0.0540636
Elton	0.0540407
taekwondo	0.0531695
"three to four"	0.053146
Theroux	0.053112
dressage	0.0530455
triathlon	0.0530353
"Tony Bennett"	0.0529217
Nilsson	0.0528109
"Vienna Philharmonic"	0.0526891
luge	0.0526459
Upshaw	0.0525419
"Ray Charles"	0.0525186
Burnitz	0.0524029
NHRA	0.0520454
Pryor	0.0517311
"match play"	0.0515528
Dennehy	0.0514961
Pearce	0.0513642
six-time	0.0513631
"high jump"	0.0513371
"won nine"	0.05104
Kitna	0.0507288
Boller	0.0506693
Nesby	0.050395
"Le Mans"	0.0502753
Lafleur	0.0499378
"Boston Pops"	0.0497199
best-of-@	0.0496984
Costner	0.0494222
Loeb	0.0492088
McKellen	0.0490578
Streisand	0.049002
"Diana Ross"	0.0489652
Maradona	0.04883
Whitacre	0.0487572
Schuerholz	0.0487371
Streep	0.0486629
Limon	0.0485435
Iglesias	0.0482459
"shot put"	0.0482177
DeVito	0.0481324
"Kirk Douglas"	0.0481069
"Lethal Weapon"	0.047878
snowboard	0.0478746
"pole vault"	0.0477939
Klestil	0.047771
Gooding	0.0476319
Selena	0.0475568
"water polo"	0.0475479
javelin	0.0475385
Lugar	0.0473971
Leghari	0.0473482
slam-dunk	0.0473375
"Jessye Norman"	0.0472312
"Dean Martin"	0.0472194
Dion	0.047218
"Cleveland Orchestra"	0.0471387
Manuel	0.0471143
five-time	0.0470819
McKnight	0.0470707
Houdini	0.04707
"Luciano Pavarotti"	0.0470134
Kluivert	0.0469886
BANDERAS	0.0469245
razzle-dazzle	0.0468743
gliding	0.0468395
"silent movie"	0.0467874
Shandling	0.0465969
"Fed Cup"	0.0463309
NTRA	0.0462903
"Southeast Asian Games"	0.0462307
"Sidney Poitier"	0.0461212
steeplechase	0.0460811
"Champions Cup"	0.0460244
Garth	0.0458766
Sheedy	0.0458356
"won four"	0.0458192
Taufik	0.0457999
Philharmonic	0.0457715
"Natalie Cole"	0.0457342
Kwasniewski	0.045601
Sarandon	0.045582
Janzen	0.0455191
third-graders	0.0454923
"US Congress"	0.0454627
Namath	0.0454495
Bloch	0.0453906
Paltrow	0.0452708
"chamber orchestra"	0.0452354
"FA Cup"	0.0451062
Puente	0.0450495
Harkes	0.0450008
"Audra McDonald"	0.0449894
"Stanley Cup Finals"	0.0448431
"Lyle Lovett"	0.0447923
Gathers	0.0446665
Deuba	0.044635
Matthau	0.0445377
"Seiji Ozawa"	0.0444475
subpar	0.0443724
Chrebet	0.0442964
))
(cliche (desc 29028.7) (sims
stereotype	0.1353
axiom	0.0872679
joke	0.0822625
adage	0.0813649
phrase	0.0810159
Truism	0.0791481
genre	0.077433
trope	0.0772105
caricature	0.0763704
fantasy	0.0762392
myth	0.0758881
bromide	0.0727261
platitude	0.0719238
archetype	0.0717536
adjective	0.0710048
stuff	0.0706724
trick	0.0701568
melodrama	0.0701072
gimmick	0.0690417
parody	0.0676216
metaphor	0.0674877
tale	0.0667405
jargon	0.0662467
theme	0.0656238
legend	0.0652798
mantra	0.0647016
irony	0.0635067
image	0.0634922
style	0.0627889
slogan	0.0625596
humor	0.0616938
symbolism	0.0616765
mythology	0.0616249
icon	0.0612601
tradition	0.0612502
character	0.0604493
buzzword	0.0603509
fad	0.0597885
rhetoric	0.059677
classic	0.0595698
gag	0.0592919
notion	0.059174
drama	0.0590568
misconception	0.0590101
logic	0.0588353
sentimentality	0.0587317
hyperbole	0.0585303
anecdote	0.0580822
"punch line"	0.0578613
hype	0.0576638
posturing	0.0576099
pitfall	0.0575755
affectation	0.0572836
tactic	0.0572038
ploy	0.05709
"special effect"	0.0569571
nonsense	0.0569413
imagery	0.0569152
cynicism	0.0568554
superlative	0.0567191
Song	0.0566533
charm	0.0562051
contradiction	0.0559379
"sound bite"	0.0558036
farce	0.0557291
fiction	0.0552077
storyline	0.0549023
language	0.0548859
aphorism	0.0547502
refrain	0.054572
ideal	0.0544832
analogy	0.0543862
comedy	0.0540843
intrigue	0.0540804
wisdom	0.0540796
fable	0.0539908
shorthand	0.0537231
anachronism	0.0536119
reality	0.0533946
spoof	0.0529312
truth	0.0529157
anarchy	0.0527713
assumption	0.0527551
scene	0.0525085
lore	0.0524364
mystery	0.0523134
element	0.0522552
rumor	0.0521525
premise	0.0520941
reference	0.0520376
gossip	0.0520121
concept	0.0519808
expression	0.0519464
mentality	0.0519449
celebrity	0.0519279
maxim	0.0519256
shtick	0.0518508
description	0.0517304
script	0.0516021
vocabulary	0.0515205
personality	0.0514806
depiction	0.0513548
prejudice	0.0512658
staple	0.0508202
symbol	0.0507181
hero	0.050673
nostalgia	0.0501991
thinking	0.0501701
poetry	0.0500509
subtext	0.0498543
indignity	0.0498334
Formula	0.0498161
philosophy	0.049767
profanity	0.049751
accent	0.0496469
instinct	0.0495284
exaggeration	0.049504
conceit	0.0494743
subplot	0.0493165
theory	0.0492758
epithet	0.0492632
riff	0.0491928
nightmare	0.0489565
obsession	0.04892
phenomenon	0.0489128
dream	0.0488003
slang	0.0486474
sensibility	0.0486167
narrative	0.0485416
ballad	0.0485142
trapping	0.0484768
controversy	0.04829
picture	0.0482707
one-liner	0.0482386
habit	0.0482336
lyric	0.0481222
satire	0.0479626
tragedy	0.0478772
vernacular	0.0478178
flick	0.0476335
"plot line"	0.0476156
paradox	0.0475708
thriller	0.0474783
dialogue	0.0474742
coincidence	0.0473652
stunt	0.0473433
hypocrisy	0.0473287
terminology	0.0473284
insult	0.0473264
credo	0.0472176
pun	0.0471689
twist	0.0471156
"four-letter word"	0.0469982
idiom	0.0469516
generalization	0.046945
persona	0.0469287
tune	0.0469231
emotion	0.0468931
technique	0.0468501
racism	0.0467072
mess	0.0466603
banality	0.0465844
poem	0.046488
masterpiece	0.0464453
vision	0.046221
routine	0.0461884
expletive	0.0460783
spectacle	0.0460754
"love story"	0.046029
culture	0.0459249
sequence	0.0458828
aspect	0.0458045
"name calling"	0.0456336
rhyme	0.0454763
realism	0.0454659
flaw	0.0454577
partisanship	0.0454346
adventure	0.0454235
lesson	0.0453614
curse	0.0453213
scenario	0.0452508
impulse	0.0452077
fun	0.0452037
excuse	0.0451667
antihero	0.0451464
magic	0.0451256
accusation	0.0450804
silliness	0.0450624
greats	0.0450515
"art form"	0.045035
mistake	0.0449322
chaos	0.0446811
conundrum	0.044626
novelty	0.0446075
novel	0.0445801
ethos	0.0444814
writing	0.0444594
diva	0.0444511
chant	0.0443784
feeling	0.0443361
))
(click (desc 23258.9) (sims
right-click	0.118501
"mouse click"	0.109314
double-click	0.0958352
keystrokes	0.0718907
button	0.0697813
password	0.0570482
beep	0.0517174
banging	0.0489783
modem	0.0487565
rumble	0.048148
mouse	0.0450086
browser	0.0445616
snapshot	0.0433647
sigh	0.0432057
variation	0.0431132
"phone call"	0.0422137
hiccup	0.0415084
folder	0.0410294
cursor	0.0408616
expletive	0.0403847
arrow	0.0403685
blip	0.0400785
))
(clicker (desc 871.033) (sims
remotes	0.139104
"data file"	0.0937385
one-off	0.0916442
blinder	0.0872869
stethoscope	0.0870275
ABS-CBN	0.0858451
keypad	0.0844448
cursor	0.0828766
"brain wave"	0.0820445
"mind's eye"	0.0789652
tuner	0.0778521
pre-Olympic	0.0739703
forefinger	0.0730456
newswoman	0.0729977
doorbell	0.0707924
weatherman	0.070458
CPR	0.0703236
Pinky	0.0701547
taskbar	0.0696879
"ad blitz"	0.0696617
grandkids	0.0692652
"little finger"	0.0689202
"sense of balance"	0.067734
Sigma	0.0675966
defibrillator	0.0673879
pinkie	0.0672532
molar	0.0663186
"viewing audience"	0.0659772
thermostat	0.0652962
camcorder	0.0650907
"gas pedal"	0.0644232
antennae	0.0639323
"relay stations"	0.0638401
"Ed McMahon"	0.0632084
"Promise Keepers"	0.0620156
hyphen	0.0618315
scalpel	0.061454
"time clock"	0.0611521
ZDTV	0.0610852
"beach towel"	0.0607521
Highness	0.0605051
clipboard	0.059904
"five spot"	0.0588755
"radio telescope"	0.0588278
Webdale	0.0585767
phonics	0.0581382
triangulation	0.0580752
adrenalin	0.0580539
"picture tube"	0.0579604
headcount	0.0576611
"electronic warfare"	0.0570896
"flight simulator"	0.0570839
"two cents"	0.0570225
paintbrush	0.0568416
racquet	0.0566702
blinker	0.0565386
"a few dollars"	0.0563652
"beach ball"	0.0561438
Momma	0.0560225
scriptwriter	0.0558091
newscaster	0.0557551
mower	0.0555119
"fellow traveler"	0.0554369
half-inch	0.0551216
"weather forecaster"	0.0548736
marksmanship	0.0546353
Nuke	0.054583
pointer	0.0544035
plunger	0.0542204
"situation comedy"	0.0540926
"filing cabinet"	0.0539871
timeouts	0.0539509
Juilliard	0.0536513
"deposit box"	0.0532178
countertops	0.0531889
weevil	0.0531585
"bank statement"	0.0530664
inkjet	0.0530252
"Norman Lear"	0.0527922
"crowd control"	0.0526745
PDA	0.0525243
Legos	0.0523783
"Twin Peaks"	0.0523465
STI	0.0522286
Wolfpack	0.0521157
ass	0.0520377
beeper	0.051864
"shoulder blade"	0.0517249
Polgar	0.051405
"Canal Plus"	0.0512913
"charge card"	0.0512899
derriere	0.0512535
cameramen	0.0508
"money fund"	0.0507062
spigot	0.0505708
"personal business"	0.0505396
Walkman	0.0504798
"guardian angel"	0.0503504
geriatrics	0.0503291
"David Frost"	0.0502147
eugenics	0.0500999
"transfer payment"	0.0499838
oar	0.0498243
TCM	0.0498159
wader	0.0497728
BMI	0.0495274
"two hands"	0.0494769
"Bill Moyers"	0.0493909
polygraph	0.0491633
ROOTS	0.0488753
"Orlin Norris"	0.0488529
seatbelt	0.0487708
soundbites	0.0487345
"screen door"	0.048689
QVC	0.048386
MCAS	0.0483798
hackle	0.0482063
"sand wedge"	0.048172
LPs	0.0481128
Tua	0.0479961
broom	0.047859
musket	0.0478395
sparkler	0.0476866
Etherton	0.0476056
clothes	0.0475403
knuckleball	0.047125
"Shannon Briggs"	0.0470914
boob	0.0470637
twitching	0.0470344
"sea lane"	0.0469916
"Palm III"	0.0469355
"Animal Planet"	0.0468141
ordnance	0.0468129
"broadcasting company"	0.046802
"more than three-fourths"	0.0467402
"Kurt Abbott"	0.0467398
"Washington Mystics"	0.0467211
"fishing line"	0.0466279
"atom bomb"	0.0465735
"Murphy Brown"	0.0465672
Wanderlust	0.0465631
sander	0.0462
illegals	0.0461955
"trash can"	0.0461547
pyrotechnics	0.046081
decontamination	0.0457764
"golf game"	0.0457741
sternum	0.0457621
Powerbook	0.0457247
"paper cup"	0.0455667
"index finger"	0.0455595
Songhua	0.0454868
cryptography	0.045482
hex	0.0454043
booker	0.0453617
thumbnail	0.0453369
SAT	0.0451512
M.A	0.0450975
tailpipe	0.044983
firstborn	0.0449763
Vandal	0.0449218
harpoon	0.0449094
"line of work"	0.0448833
"Kung Fu"	0.0448119
BSKyB	0.044747
"Old Trieste"	0.0447293
simulator	0.0447196
Docudrama	0.0447102
newsmagazines	0.0446836
"name and address"	0.0446713
"baseball glove"	0.0445168
houseplant	0.0444608
"magnetic resonance imaging"	0.0444601
treadmill	0.0444514
subconscious	0.0444299
carry-on	0.0442423
homepages	0.0441819
"coffee cup"	0.044176
fanny	0.0441294
noggin	0.0440625
Jayhawks	0.0440563
fulltime	0.0439774
NTV	0.0439518
windscreen	0.0439273
"Kendra Webdale"	0.0438706
"brokerage account"	0.0436336
"big sister"	0.0434719
voiceover	0.0434633
sinus	0.043381
"satellite receiver"	0.0433781
"pedestrian bridge"	0.0433695
binocular	0.0433148
latte	0.0433073
stylus	0.0432384
gliding	0.043195
"magnifying glass"	0.0431854
"Palm Pilot"	0.043182
Lan	0.0431276
Ruehe	0.0431121
potty	0.0430468
))
(client (desc 114966) (sims
customer	0.203252
investor	0.146281
employee	0.142043
consumer	0.13954
user	0.136874
company	0.13158
individual	0.129462
patient	0.128895
buyer	0.126462
defendant	0.123054
people	0.120738
employer	0.117782
parent	0.113611
advertiser	0.113341
firm	0.112592
worker	0.11186
student	0.111618
shareholder	0.111275
owner	0.110905
donor	0.108778
Reader	0.108494
corporation	0.107913
doctor	0.105664
family	0.105651
member	0.105517
taxpayer	0.103999
subscriber	0.103876
executive	0.102861
lawyer	0.102834
broker	0.10268
person	0.102163
constituent	0.101982
inmate	0.101831
partner	0.1014
friend	0.100967
homeowner	0.100889
business	0.100321
woman	0.0996084
officer	0.0994212
tenant	0.0990038
resident	0.0985543
public	0.0984971
plaintiff	0.09759
"family member"	0.0975647
citizen	0.0972911
traveler	0.0969199
retailer	0.0959943
visitor	0.0959352
child	0.0952934
creditor	0.0946565
applicant	0.0943053
agency	0.094204
others	0.094138
man	0.0940891
borrower	0.0938811
dealer	0.093799
farmer	0.0936215
player	0.093612
shopper	0.0930462
bank	0.0928885
manufacturer	0.0928554
developer	0.0922782
American	0.0918962
victim	0.091389
businessmen	0.0913222
official	0.0908735
participant	0.090364
athlete	0.0903405
relative	0.0903187
anyone	0.0902596
agent	0.0897967
kid	0.0896932
passenger	0.0895034
manager	0.0890214
lender	0.0888934
suspect	0.0888661
contractor	0.0887635
colleague	0.0884535
trader	0.0884212
physician	0.0882752
competitor	0.0882638
group	0.0880317
viewer	0.0871191
policyholder	0.087112
those	0.0870565
caller	0.0868108
banker	0.0866043
insurer	0.0865369
beneficiary	0.0864686
someone	0.0863689
them	0.0861965
"insurance company"	0.086102
voter	0.0858993
depositor	0.0857674
teacher	0.0857048
mother	0.0856833
supplier	0.0855522
neighbor	0.0855177
provider	0.0850664
prisoner	0.084979
guest	0.0848958
contributor	0.0848457
fan	0.0845249
everyone	0.0844546
operator	0.0843812
journalist	0.0843591
recipient	0.084339
enterprise	0.084189
husband	0.0838593
entrepreneur	0.0836575
sponsor	0.0834573
tourist	0.0833548
patron	0.0831038
foreigner	0.0829891
folk	0.0826853
vendor	0.0826215
listener	0.0825177
airline	0.0823576
government	0.081955
politician	0.0819135
seller	0.0815021
professional	0.0814447
artist	0.0810679
scientist	0.0809675
pilot	0.0802743
adult	0.0801913
youngster	0.0798961
industry	0.0798674
her	0.079827
him	0.0792142
President	0.0791132
"financial institution"	0.0790265
merchant	0.0788746
driver	0.0788436
supporter	0.0787824
lawmaker	0.0786757
Clinton	0.0786741
audience	0.0786495
retiree	0.0776532
wife	0.077628
teen-ager	0.0775962
veteran	0.0775722
organization	0.0774955
staff	0.0768713
witness	0.076626
prosecutor	0.0765996
"staff member"	0.0764707
smoker	0.075952
institution	0.0759042
community	0.075899
fund	0.0758652
girl	0.0755594
immigrant	0.0754774
father	0.0753871
volunteer	0.0750888
Microsoft	0.0750329
stockholder	0.074918
boss	0.0748788
juror	0.0747879
leader	0.0747452
Attorney	0.0746253
you	0.0745235
regulator	0.074521
spouse	0.0744889
reporter	0.0741246
landlord	0.0738945
co-worker	0.0733631
marketers	0.073298
state	0.0730994
guy	0.0729379
boy	0.0728033
country	0.0726026
"senior citizen"	0.0725341
"police officer"	0.072376
"venture capitalist"	0.0723146
everybody	0.0723098
ally	0.0721635
survivor	0.0721172
"federal government"	0.0719634
anybody	0.0719452
many	0.0719117
debtor	0.0717656
son	0.0715099
candidate	0.0714562
refugee	0.0713684
nation	0.0712544
office	0.0712465
service	0.0712328
producer	0.0711924
holder	0.0711364
grower	0.0711354
lobbyist	0.0711123
account	0.0710353
Republican	0.0709786
judge	0.070762
bidder	0.0705447
criminal	0.0705238
publisher	0.0704959
legislator	0.0704787
Bos	0.0703397
))
(clientele (desc 11421.2) (sims
readership	0.0825562
"business traveler"	0.0768724
audience	0.0765929
shopper	0.074454
patron	0.0723553
client	0.0691096
"business interest"	0.0643133
consumer	0.0627108
"viewing audience"	0.0623269
"tax base"	0.0612998
constituency	0.0599853
caseload	0.059828
buyer	0.0593986
populace	0.0578961
drinker	0.0578458
traveler	0.0577766
urbanites	0.0577268
viewership	0.0564966
tenant	0.0564404
viewer	0.0560457
"work force"	0.0559064
"core group"	0.0558297
electorate	0.0553354
enrollee	0.0553149
Reader	0.0542516
"home buyer"	0.0542019
advertiser	0.0540763
sensibility	0.0540166
elite	0.0536362
constituent	0.0533482
diner	0.0522135
"business line"	0.0520215
"investment portfolio"	0.0516124
"middle class"	0.0513219
teens	0.0512898
cuisine	0.0508865
"product line"	0.0508606
workforce	0.0503967
listener	0.0499701
"sports fan"	0.0497862
fandom	0.0495871
demographics	0.0495386
legion	0.0493132
"divorce lawyer"	0.0489243
gambler	0.0489223
"nest egg"	0.0488908
Latino	0.0486534
baby-boomers	0.0486342
suburbanite	0.0485975
expertise	0.0484182
Hispanic	0.0484141
niche	0.0481237
nightspot	0.0480075
roster	0.0471817
subscriber	0.0471803
non-Social	0.0471367
philanthropy	0.0471192
collector	0.0469962
fourth-graders	0.046813
cachet	0.0467723
"labor force"	0.0466666
exerciser	0.046586
chef	0.0465007
boomer	0.0464749
addict	0.0464057
Beijingers	0.0463601
enrollment	0.0461574
entrepreneur	0.0461108
homebuyers	0.0460712
Californian	0.0460662
ISPs	0.0460199
"baby boomer"	0.0458539
repertoire	0.0455441
theatergoer	0.0455172
holding	0.0453324
"sales force"	0.0452828
"art collection"	0.0450901
applicant	0.045036
surfer	0.0449416
hobbyist	0.044905
retailer	0.0448811
merchant	0.04487
filmgoers	0.0448585
"beer drinker"	0.0446544
congregation	0.0442919
matchmaker	0.044277
cardholders	0.0440318
decor	0.0440159
portfolio	0.0439197
Parisian	0.0438505
borrower	0.0438503
depositor	0.0438426
wardrobe	0.0437482
"married woman"	0.0436015
admirer	0.0435653
denizen	0.0435
"TV audience"	0.0434808
moviegoer	0.04347
lifestyle	0.0434112
palate	0.0433829
beneficiary	0.0433075
"computing system"	0.0432233
"software system"	0.0431711
ambiance	0.0431581
schoolchildren	0.0430972
coterie	0.0429361
gamers	0.0426617
"art form"	0.0424906
"wage earner"	0.0424437
"distribution network"	0.0423891
respondent	0.0423078
menu	0.0422763
influx	0.0422349
"sales staff"	0.0421758
Alumni	0.0421508
giver	0.0420807
"music lover"	0.0417929
groupie	0.0417187
competency	0.0416672
socialite	0.0416272
wage-earner	0.0415924
boutique	0.0415859
hostess	0.0415581
filmmakers	0.0415488
lineage	0.0414921
eateries	0.0414908
enlistee	0.0413086
devotee	0.041105
enthusiast	0.0410914
"cast of characters"	0.0410844
student-athletes	0.041015
decorator	0.0409911
backer	0.0408773
bloke	0.0408549
vacationer	0.0407338
aficionados	0.0407277
smoker	0.0407236
specialty	0.0406553
benefactor	0.0406128
resellers	0.0404781
restaurateur	0.0403575
citizenry	0.0403366
horde	0.0402036
"debt load"	0.0401517
bohemian	0.0401348
"political boss"	0.0401206
repertory	0.0400871
suitor	0.0400734
))
(cliff (desc 34054.4) (sims
bluff	0.137346
ravine	0.135168
hillside	0.134628
mountain	0.130426
mountainside	0.125452
ledge	0.120146
slope	0.117925
hill	0.114785
ridge	0.109426
embankment	0.101337
crag	0.100339
precipice	0.0997893
waterfall	0.0967552
canyon	0.0964411
wall	0.0960519
peak	0.0874272
rock	0.0833253
fjord	0.0803195
bridge	0.0797229
tree	0.0792304
promontory	0.0787285
"mountain range"	0.077519
dune	0.0765555
lake	0.0764193
glacier	0.0754234
"mountain peak"	0.0750661
"mountain pass"	0.0750144
beach	0.0738252
Tower	0.0735563
plateau	0.0734973
valley	0.0727476
forest	0.0726748
desert	0.0723194
"sand dune"	0.0708929
fence	0.0704143
staircase	0.069899
roof	0.0697892
gorge	0.0690881
pedestal	0.0687357
cave	0.0685763
spire	0.0684448
gully	0.0680369
hilltop	0.067506
volcano	0.0671484
rooftop	0.0663858
ladder	0.0655764
stair	0.0652683
"stone wall"	0.0636421
skyscraper	0.0631353
river	0.062085
overpass	0.0611723
road	0.0611132
Obelisk	0.0610593
meadow	0.0605628
Boulder	0.059976
coastline	0.0591899
shoreline	0.0590348
landscape	0.058966
marshland	0.0580601
sand	0.0580592
expanse	0.0579096
shore	0.0578656
slab	0.0578592
ocean	0.0577168
lagoon	0.0575039
runway	0.0574675
ceiling	0.0570163
pond	0.0567885
highway	0.0567579
terrain	0.0565513
deck	0.0565406
pine	0.0564764
Dome	0.0562417
earth	0.0562184
knoll	0.0559223
Stairway	0.0558316
Creek	0.0556124
rail	0.0555279
monument	0.0549442
crater	0.0546304
chimney	0.0536342
facade	0.0533433
bunker	0.0532946
floor	0.0531376
dike	0.0530863
terrace	0.0526848
roadway	0.0526036
mountaintop	0.0526
stone	0.0523705
lawn	0.052082
grotto	0.0519586
walkway	0.0517415
Lighthouse	0.0515451
swamp	0.0514412
jetty	0.0509249
dam	0.0506766
Vista	0.0506169
balcony	0.0504429
arch	0.0504337
scenery	0.050372
rim	0.0502464
sidewalk	0.0502281
pillar	0.0501969
fortress	0.050022
stilt	0.0499108
pyramid	0.049323
plain	0.0492096
sea	0.0490995
pier	0.049036
prairie	0.0489459
coast	0.0486701
island	0.0486354
statue	0.0485643
Sky	0.0484867
skyline	0.0484294
easel	0.0482729
farmland	0.0480232
gravel	0.0479362
riverbank	0.0474931
Mesa	0.0473743
pasture	0.0473251
ICE	0.0472855
ramp	0.0471458
Marsh	0.0470752
grassland	0.0470559
scaffolding	0.0470336
porch	0.0467476
Crane	0.0467003
Grave	0.0464376
Castle	0.0463445
Grove	0.046344
Mound	0.0463263
ruin	0.0461288
pole	0.0460987
reef	0.0457262
cloud	0.0456997
soil	0.0455519
bog	0.045246
stream	0.0450216
granite	0.0449905
sarcophagus	0.0449545
beam	0.0447471
Canal	0.0445942
wood	0.044553
wetlands	0.0445078
jungle	0.044468
pagoda	0.0443526
ditch	0.044345
cavern	0.0442418
waterfront	0.0438343
flagpole	0.0438193
crest	0.0437536
bed	0.0436786
edifice	0.0436163
inlet	0.0434671
pavement	0.0434263
sculpture	0.0432937
wasteland	0.0432674
tile	0.0432629
pit	0.0431669
"hot spring"	0.0431566
chute	0.0431294
grass	0.0429215
square	0.0427748
woodland	0.0426611
fountain	0.042614
"Mount Everest"	0.0425725
tunnel	0.0424862
shack	0.0424549
quarry	0.0422615
"tree branch"	0.0421982
plume	0.0420129
path	0.0419204
"coral reef"	0.0418959
minaret	0.0417358
mud	0.041591
tombstone	0.0415551
platform	0.0415545
cafe	0.0414139
curve	0.0414118
fairway	0.0412788
moat	0.0412118
dock	0.0411806
Everest	0.0410191
stool	0.0409125
Bay	0.0408783
garden	0.0407161
tomb	0.0406918
steeple	0.0406604
perch	0.0405489
"railroad track"	0.0405228
Concrete	0.0404644
vegetation	0.0403927
shelf	0.0403905
limestone	0.0402458
"golf course"	0.0401138
campground	0.0401116
bench	0.040074
barrier	0.0400602
))
("Cliff Floyd" (desc 2876.95) (sims
"Mark Kotsay"	0.303221
"Danny Bautista"	0.28739
"Carlos Lee"	0.271404
"Bruce Aven"	0.267807
"Preston Wilson"	0.256135
"Matt Lawton"	0.25599
"Geoff Jenkins"	0.253021
"Ray Lankford"	0.250329
"Rondell White"	0.249721
"Mike Lowell"	0.247792
Rolen	0.239233
"John Vander Wal"	0.236944
Fullmer	0.234702
Vidro	0.228619
"Eric Owens"	0.228266
"Henry Rodriguez"	0.226001
"Jose Vidro"	0.220758
"Damian Miller"	0.215956
"Derrek Lee"	0.212774
"Alex Gonzalez"	0.20853
"Jesus Sanchez"	0.203588
Abreu	0.202993
"Orlando Palmeiro"	0.202014
"Quinton McCracken"	0.201148
"Marvin Benard"	0.200483
"Stan Javier"	0.200468
"Ron Gant"	0.199095
"Bobby Higginson"	0.198918
"Dmitri Young"	0.198501
"Marty Cordova"	0.197428
"Jeffrey Hammonds"	0.197083
"Glenallen Hill"	0.1965
"Mark Loretta"	0.196328
"Jay Payton"	0.195641
"Luis Castillo"	0.19487
"Gregg Zaun"	0.194514
"Chris Widger"	0.194474
"Jeff Conine"	0.193667
Burnitz	0.193081
"Vladimir Guerrero"	0.193071
"Jose Guillen"	0.192746
"Juan Encarnacion"	0.192188
"Luis Polonia"	0.192037
"Brian Giles"	0.190693
"Lance Berkman"	0.190486
"Matt Franco"	0.190099
Lankford	0.188261
"Bubba Trammell"	0.188138
"Richie Sexson"	0.187491
"Joe McEwing"	0.186352
"Dante Bichette"	0.185553
"Tony Batista"	0.184136
"Daryle Ward"	0.183761
"Matt Luke"	0.182203
"Scott Spiezio"	0.18183
"Bernard Gilkey"	0.181577
"Bobby Abreu"	0.180982
"Rich Becker"	0.180352
"David Dellucci"	0.179858
"Ben Grieve"	0.179761
"Russ Johnson"	0.17874
"Johnny Damon"	0.178714
"Benny Agbayani"	0.17836
Randa	0.177892
"Trenidad Hubbard"	0.177568
"Luis Gonzalez"	0.176297
"Gerald Williams"	0.176232
"Doug Glanville"	0.175429
"Gary Sheffield"	0.175208
"Shannon Stewart"	0.174718
"B.J Surhoff"	0.174253
"Reggie Sanders"	0.173357
"Butch Huskey"	0.171651
"Rob Ducey"	0.17161
"Matt Mieske"	0.171279
"Richard Hidalgo"	0.17075
"Jose Valentin"	0.170099
"Todd Pratt"	0.169633
"Jose Cruz Jr."	0.168952
"Jon Nunnally"	0.168227
Spiers	0.168067
"Kevin Jordan"	0.167117
"Tony Eusebio"	0.16706
Lieberthal	0.166597
"Matt Stairs"	0.16648
"Fred McGriff"	0.16647
"Bill Spiers"	0.166171
"Ron Coomer"	0.165025
"J.D Drew"	0.16481
"Karim Garcia"	0.164047
"Craig Paquette"	0.163769
grieve	0.163628
"Phil Nevin"	0.163377
"Brad Fullmer"	0.163066
"Ray Durham"	0.162921
"Lee Stevens"	0.162694
"Ellis Burks"	0.162434
"Lenny Harris"	0.16166
"Brian Hunter"	0.161644
"Brant Brown"	0.161385
"Damian Jackson"	0.161197
"Kevin Young"	0.161117
"Chad Curtis"	0.161009
"David Ortiz"	0.16097
"Cristian Guzman"	0.160363
"Gregg Jefferies"	0.160278
"Marquis Grissom"	0.159457
Elster	0.159318
"Craig Counsell"	0.159159
"Luis Alicea"	0.159064
"Brady Anderson"	0.1589
"Dave Martinez"	0.158582
"Pat Burrell"	0.15749
"Jay Buhner"	0.157236
"Dave Hansen"	0.157117
"Eddie Taubensee"	0.156991
"Wil Cordero"	0.156372
"Tim Salmon"	0.15606
"Ruben Rivera"	0.155693
"Raul Ibanez"	0.155464
"Dean Palmer"	0.155296
"Rico Brogna"	0.155075
"Kirk Gibson"	0.154952
"Michael Tucker"	0.154781
"Joe Randa"	0.154565
Batista	0.154531
"Deivi Cruz"	0.154325
Ordonez	0.154159
Nevin	0.153622
"Jason Giambi"	0.15296
"GERONIMO BERROA"	0.152815
"F.P Santangelo"	0.152803
"Alex Fernandez"	0.152655
"Erubiel Durazo"	0.152259
"Greg Vaughn"	0.151022
"Darin Erstad"	0.150744
"Damon Buford"	0.150499
"Ryan Klesko"	0.150363
"John Mabry"	0.150025
"Adam Kennedy"	0.149907
"Todd Walker"	0.149822
"Ricky Ledee"	0.149819
"J.T Snow"	0.149729
Aurilia	0.149541
"Jeremy Giambi"	0.148944
"Bill Mueller"	0.148776
"Rickey Henderson"	0.148772
Bautista	0.148565
"Paul Konerko"	0.148452
"Scott Rolen"	0.148434
"Mickey Morandini"	0.148433
"Miguel Tejada"	0.148204
"Darryl Hamilton"	0.147898
"Todd Hollandsworth"	0.147746
"Neifi Perez"	0.146968
"Rusty Greer"	0.146956
"Jeromy Burnitz"	0.146875
"Herbert Perry"	0.146525
"Troy Glaus"	0.146488
"Brian McRae"	0.146324
"Wally Joyner"	0.146037
"Al Martin"	0.145824
"Andruw Jones"	0.14478
"Terrence Long"	0.144594
Tatis	0.144274
Renteria	0.144211
Tejada	0.144149
"Bobby Estalella"	0.144096
"Carlos Beltran"	0.143949
"Kelly Stinnett"	0.143946
"Mike Cameron"	0.143672
"Mike Benjamin"	0.143316
"Ricky Gutierrez"	0.143225
"Tony Womack"	0.142914
"Will Clark"	0.142675
"Manny Alexander"	0.14218
"Jermaine Dye"	0.141993
"Barry Bonds"	0.141539
"Eric Chavez"	0.141353
"Travis Lee"	0.141303
"Corey Koskie"	0.141014
"Jeff Kent"	0.140833
"Kenny Lofton"	0.140573
"Melvin Mora"	0.140231
Fryman	0.140206
"Brent Mayne"	0.14015
"Darren Bragg"	0.14015
"Gabe Kapler"	0.138403
Bordick	0.138268
"Roger Cedeno"	0.137648
"Bengie Molina"	0.137474
"Derek Bell"	0.13724
"Garret Anderson"	0.137229
"Roberto Kelly"	0.136889
Konerko	0.136865
"Pat Meares"	0.136711
Hollins	0.136651
Cirillo	0.136601
"Todd Zeile"	0.136326
"Albert Belle"	0.136302
"Shawn Green"	0.136287
"Travis Fryman"	0.135872
"Tom Lampkin"	0.135551
"Moises Alou"	0.135348
Alicea	0.135288
"Todd Hundley"	0.135031
Sexson	0.134759
"Jason Kendall"	0.134
"Mike Lieberthal"	0.133968
"Tom Goodwin"	0.133704
"Jorge Fabregas"	0.133616
"Todd Greene"	0.133562
"Devon White"	0.133537
"Charlie Hayes"	0.133116
"Warren Morris"	0.133112
Giambi	0.132931
"John Jaha"	0.132805
"Tim Bogar"	0.132723
Higginson	0.132712
"Ozzie Guillen"	0.132206
Glanville	0.132204
"Fernando Vina"	0.131912
"Jim Thome"	0.13155
"Keith Lockhart"	0.131451
"Vinny Castilla"	0.131409
Cordero	0.131262
"Quilvio Veras"	0.130846
"Mike Sweeney"	0.13066
"Troy O'Leary"	0.130571
"Brook Fordyce"	0.130327
"Mike Lansing"	0.130247
"Jim Leyritz"	0.129093
"Magglio Ordonez"	0.129029
"Brian Daubach"	0.128316
"Chili Davis"	0.127911
"Larry Walker"	0.127778
"Dan Wilson"	0.127644
"Jason Varitek"	0.127411
"Mark McLemore"	0.126776
Erstad	0.12633
"Greg Colbrunn"	0.126215
"Jeff Cirillo"	0.126081
"Mike Stanley"	0.125878
"Jose Hernandez"	0.125852
"Randy Velarde"	0.1258
"John Valentin"	0.125582
"Brad Ausmus"	0.125486
Dunston	0.125452
"Bobby Bonilla"	0.125299
DeShields	0.125275
"Midre Cummings"	0.1251
Alfonzo	0.124913
"Rafael Furcal"	0.124904
"Harold Baines"	0.12487
"Sean Casey"	0.124818
"Darren Lewis"	0.124766
"Ryan Dempster"	0.124585
"Tony Clark"	0.12442
"Eric Karros"	0.124392
Karros	0.124248
"Ed Sprague"	0.123979
"Mike Lamb"	0.123927
"Ken Caminiti"	0.123817
"Javy Lopez"	0.123795
Biggio	0.123778
"Raul Mondesi"	0.123558
"Jeff Bagwell"	0.123434
"Luis Lopez"	0.123289
"Edgardo Alfonzo"	0.123062
"Shawn Estes"	0.12297
"Tony Phillips"	0.122788
McGriff	0.122647
"David Segui"	0.122603
"Frank Thomas"	0.122435
"Brian Jordan"	0.122429
Hatteberg	0.121912
Brogna	0.121885
"Mike Bordick"	0.121238
"Jay Bell"	0.121215
"Otis Nixon"	0.120669
Glaus	0.120571
Klesko	0.120336
"Miguel Cairo"	0.120321
"Tino Martinez"	0.120018
"Rich Aurilia"	0.119936
"Lance Johnson"	0.119865
"Kevin Elster"	0.119684
"Sandy Alomar"	0.119669
"Adrian Beltre"	0.11932
Catalanotto	0.119007
"Steve Finley"	0.118809
"Jose Vizcaino"	0.118423
"Jim Edmonds"	0.118217
"Carl Everett"	0.118212
"Shawon Dunston"	0.117987
"Mark Grace"	0.117406
"BRIAN MEADOWS"	0.117146
"Peter Bergeron"	0.116967
Agbayani	0.116966
Canseco	0.116724
"Jason McDonald"	0.116713
"Tony Graffanino"	0.1166
Hollandsworth	0.116597
"Robin Ventura"	0.116561
Bergeron	0.115991
"Willie Greene"	0.115969
"Carlos Delgado"	0.115473
"Livan Hernandez"	0.115372
"Trot Nixon"	0.114547
"Scott Brosius"	0.114339
Daubach	0.114291
"Eric Young"	0.114074
Womack	0.114033
"Damion Easley"	0.113849
"Jose Offerman"	0.113828
Frye	0.113662
"Matt Williams"	0.113607
"Vladimir Nunez"	0.113334
Olerud	0.113288
"Todd Helton"	0.113283
Lofton	0.112875
"Andy Fox"	0.112761
Zeile	0.112658
"Eric Davis"	0.112369
Saenz	0.112278
Palmeiro	0.112224
"Manny Ramirez"	0.112222
Leyritz	0.111965
"Darrin Fletcher"	0.111783
"Shane Spencer"	0.111721
"Tim Raines"	0.111577
"Delino DeShields"	0.111352
"CARLOS HERNANDEZ"	0.110625
"Carlos Baerga"	0.110399
Veras	0.109784
"Jose Canseco"	0.109627
Brosius	0.109595
Burks	0.10931
"Pokey Reese"	0.109155
"Cecil Fielder"	0.109138
Varitek	0.10889
"Chris Gomez"	0.108786
Alou	0.10856
"Paul O'Neill"	0.108449
"Mark Grudzielanek"	0.108026
"Rey Ordonez"	0.107655
Hidalgo	0.10765
"Kurt Abbott"	0.107513
"Edgar Martinez"	0.107449
Vizcaino	0.106757
"David Bell"	0.106412
"Rey Sanchez"	0.106382
McLemore	0.10634
"Edgar Renteria"	0.106318
Bragg	0.105833
Delgado	0.105747
Javier	0.105633
Surhoff	0.105422
Valentin	0.105097
"Joe Carter"	0.10495
"Craig Biggio"	0.10491
Stinnett	0.104504
"Brian Johnson"	0.104019
Bichette	0.103928
Velarde	0.103843
Gant	0.103744
"Russ Davis"	0.103318
"Kevin Orie"	0.103253
Vizquel	0.103123
"Andres Galarraga"	0.103072
Bagwell	0.102466
"Alex Rodriguez"	0.102395
"John Olerud"	0.102362
"Tony Gwynn"	0.10236
"Chipper Jones"	0.102064
"Luis Sojo"	0.101747
"Bret Boone"	0.101037
"Scott Hatteberg"	0.100652
Castilla	0.100545
"Enrique Wilson"	0.100205
Mondesi	0.100166
))
("Cliff Robinson" (desc 1858.85) (sims
"Rex Chapman"	0.288764
"Clifford Robinson"	0.283042
"Tom Gugliotta"	0.236088
"Shawn Marion"	0.217884
"Rodney Rogers"	0.202723
"Jason Kidd"	0.188384
"Danny Manning"	0.183379
"Nick Anderson"	0.165258
"Antonio McDyess"	0.165014
"Anfernee Hardaway"	0.164653
"George McCloud"	0.163394
"Luc Longley"	0.159798
"Vin Baker"	0.158681
"Penny Hardaway"	0.152017
McCloud	0.150093
"Gary Payton"	0.14809
"Eric Snow"	0.139886
"Oliver Miller"	0.132052
"Mitch Richmond"	0.130279
"Damon Stoudamire"	0.127926
"Alonzo Mourning"	0.124151
"Terrell Brandon"	0.120814
"Grant Hill"	0.119742
"Steve Smith"	0.117897
"Stephon Marbury"	0.116921
"Tim Hardaway"	0.116594
"Glenn Robinson"	0.116144
"Darrell Armstrong"	0.111125
"Reggie Miller"	0.109512
"Dan Majerle"	0.108423
"Jamal Mashburn"	0.107888
Gugliotta	0.107791
"Adrian Griffin"	0.107358
"Joe Kleine"	0.106783
Hardaway	0.106341
"Corliss Williamson"	0.104658
"Scottie Pippen"	0.104106
"Shareef Abdur-Rahim"	0.103405
"Vlade Divac"	0.102334
Kidd	0.102228
"Kevin Johnson"	0.101542
"Allan Houston"	0.100981
"Jerry Stackhouse"	0.100833
"Kevin Garnett"	0.0999554
"Antoine Walker"	0.0998038
"Keith Van Horn"	0.0980174
"Jennifer Gillom"	0.0961364
"Allen Iverson"	0.0956707
"Derrick Coleman"	0.09544
"Matt Geiger"	0.0943874
"Chris Anstey"	0.0918208
"Kobe Bryant"	0.0908265
Mashburn	0.0891002
"Grant Long"	0.0881079
"Eddie Jones"	0.0878108
"Jim Jackson"	0.0878095
"Dikembe Mutombo"	0.087643
"Rod Strickland"	0.0875186
"Shaquille O'Neal"	0.0872981
"Michael Finley"	0.0871445
"Shawn Kemp"	0.0861087
"Gabe Muoneke"	0.0857961
Longley	0.0856292
"Tim Duncan"	0.0851147
"Eddie House"	0.0850233
"Rasheed Wallace"	0.0845684
"Charles Barkley"	0.084463
"Steve Kerr"	0.0844475
"SCOTT BURRELL"	0.0842132
"Donyell Marshall"	0.0839798
"Pat Garrity"	0.0836846
"Gary Roberts"	0.0833242
Divac	0.0823926
"John Stockton"	0.0809846
"Bill Wennington"	0.0791306
"Geoff Sanderson"	0.0789845
"Damian Jackson"	0.0787021
"Ray Allen"	0.0786912
"Travis Best"	0.0783148
"Chris Webber"	0.0781821
"Dennis Scott"	0.0780136
"Malik Sealy"	0.0773177
"Mark Bryant"	0.0766784
"Jumaine Jones"	0.0764018
"Brook Fordyce"	0.076265
"Theo Ratliff"	0.0754585
"Michele Timms"	0.0754081
"Chauncey Billups"	0.0746928
"Todd MacCulloch"	0.0732054
"Alan Henderson"	0.0731434
"Sam Cassell"	0.0723228
"Cedric Ceballos"	0.0721396
"Maurice Taylor"	0.0721118
Chapman	0.0712092
Kukoc	0.0698938
"Stern John"	0.0696466
"Tariq Abdul-Wahad"	0.0692636
"Joe Smith"	0.0688905
"Darrick Martin"	0.0688886
"Travis Knight"	0.0687615
"Bob Sura"	0.0687176
"Karl Malone"	0.0682814
"CORIE BLOUNT"	0.0678542
"Glen Rice"	0.06783
MARBURY	0.0677873
"Ulf Kirsten"	0.0676774
"Terry Porter"	0.0668334
Strickland	0.0664436
"Mike Bibby"	0.065903
"Gary Trent"	0.0657946
"Sherman Douglas"	0.0654817
"Shandon Anderson"	0.0650703
Turgeon	0.065035
"Arvydas Sabonis"	0.0648456
"Carlos Hermosillo"	0.0647968
"Nick Van Exel"	0.0644142
"Avery Johnson"	0.0643256
"Brian Shaw"	0.0642476
"Joe Dumars"	0.0638658
Zamorano	0.0637253
"Steve Nash"	0.0637089
"Tim Thomas"	0.063104
"Ron Francis"	0.0629121
"A.C. Green"	0.06266
"Kerry Kittles"	0.0625874
"Bryon Russell"	0.062197
"Eric Piatkowski"	0.0618443
Artest	0.0616507
"Lisa Leslie"	0.0614641
"Charlie Ward"	0.0614525
"Ron Mercer"	0.0613833
"Matt Bullard"	0.0613256
"Jaren Jackson"	0.0613156
"LaPhonso Ellis"	0.0613045
"Tore Andre Flo"	0.0610717
Reichel	0.0609973
Andreychuk	0.0609016
"Sheryl Swoopes"	0.0603023
"Rik Smits"	0.0601317
"Nikki McCray"	0.060109
"Patrik Elias"	0.0599687
Ceballos	0.0597123
"Lamond Murray"	0.0595675
"Tyrone Nesby"	0.0593493
"Yolanda Griffith"	0.0592795
"City Development"	0.0591315
"Clyde Drexler"	0.0588732
"Brandon Granville"	0.0588575
"Juwan Howard"	0.0588551
"Samaki Walker"	0.0587973
Zhenyu	0.0586529
"Austin Croshere"	0.0586309
"Wang Zhizhi"	0.0585682
"P.J Axelsson"	0.058523
"Brent Barry"	0.0582612
"Curtis Brown"	0.058177
"Scott Zolak"	0.0580667
"Hu Weidong"	0.058
Giambi	0.0579656
Kerr	0.05788
"Otis Thorpe"	0.0578549
"Bonzi Wells"	0.0577791
"Christian Laettner"	0.0575886
Fizer	0.0568768
"Doug Christie"	0.0568756
"Pat Meares"	0.0568509
"Elden Campbell"	0.0561598
"Isaiah Rider"	0.0558976
Stumpel	0.0556622
"Derek Anderson"	0.0555372
"David Wesley"	0.0555018
"Theo Fleury"	0.0553858
"Jermaine O'Neal"	0.0552847
Abdur-Rahim	0.0549832
"Jalen Rose"	0.0547433
"Olden Polynice"	0.0545406
Bordick	0.0545147
"Ike Austin"	0.0544058
"Kelly Stinnett"	0.0543397
"Sam Perkins"	0.0543163
Garnett	0.0541087
"Jerome Kersey"	0.0538406
"Michael Redd"	0.0537814
"Jason Williams"	0.0536358
"David Robinson"	0.0533601
"Dale Davis"	0.0532864
"Brad Miller"	0.0532068
Edberg	0.0531746
"Larry Hughes"	0.0530954
"Miroslav Satan"	0.0527989
"Jeff Hornacek"	0.0525912
Batistuta	0.052224
"Rick Fox"	0.0522065
"Brian Grant"	0.0522006
"Michael Wright"	0.0521031
"Karim Abdul-Jabbar"	0.052
"Walt Williams"	0.0519666
"John Wallace"	0.0518405
"Dirk Nowitzki"	0.0518287
"Jeff Trepagnier"	0.0516958
))
("Cliff Ronning" (desc 1069.64) (sims
"Jeremy Roenick"	0.253309
"Juha Ylonen"	0.209418
"Greg Adams"	0.194285
"Rick Tocchet"	0.194237
"Keith Tkachuk"	0.193995
"Bob Corkum"	0.181865
"Travis Green"	0.180937
"Shane Doan"	0.176701
"Mike Sullivan"	0.172884
"Ray Ferraro"	0.171773
"Teppo Numminen"	0.1622
"Adam Oates"	0.160304
"Pavol Demitra"	0.154403
"Dale Hunter"	0.152839
"Bryan Smolinski"	0.152073
"Ron Francis"	0.152022
"Doug Gilmour"	0.150765
"Doug Weight"	0.148935
"Derrick Coleman"	0.144303
"Vincent Damphousse"	0.14287
"Robert Reichel"	0.142282
"Hu Weidong"	0.141487
"Scott Thornton"	0.141039
"Hao Haidong"	0.139517
"Kevin Willis"	0.137356
"Dallas Drake"	0.136656
"Joe Juneau"	0.136548
"Keith Primeau"	0.136513
"Brian Scalabrine"	0.135207
"Olden Polynice"	0.133938
Tkachuk	0.133029
"Dave Wohlabaugh"	0.132258
"Joe Kleine"	0.131795
"Bill Guerin"	0.129093
"Ante Razov"	0.123441
"John Salley"	0.120237
"Guy Carbonneau"	0.120138
"Horace Grant"	0.120062
"Vitaly Potapenko"	0.119768
"Owen Nolan"	0.118901
"Olli Jokinen"	0.118783
"Mike Vernon"	0.118325
"Chris Drury"	0.117924
"Nick Anderson"	0.117912
"Theo Fleury"	0.117178
"Joe Sakic"	0.116588
"Ziggy Palffy"	0.116564
"Luc Robitaille"	0.116283
"Gary Roberts"	0.115916
"Donald Audette"	0.115086
"Kenyon Martin"	0.115057
"Travis Knight"	0.114677
"Pierre Turgeon"	0.114016
"Ike Austin"	0.113365
"Chris Taylor"	0.112871
"Mark Stepnoski"	0.111444
"Derek Plante"	0.111144
"Otis Thorpe"	0.111065
"Sean Rooks"	0.110524
"Jennifer Gillom"	0.110348
"Yao Ming"	0.110169
"Vlade Divac"	0.109648
"Oleg Tverdovsky"	0.109614
"Yanic Perreault"	0.10943
"Ian Laperriere"	0.109293
"Jake Voskuhl"	0.108604
"Sergei Fedorov"	0.107717
"Antonio Davis"	0.107305
"Lee Nailon"	0.106744
"Mats Sundin"	0.106173
"Brian Skrudland"	0.105614
"John Vanbiesbrouck"	0.105198
"Bobby Holik"	0.104994
Daigle	0.104366
"Brad Miller"	0.104128
Tverdovsky	0.104033
"Chris Anstey"	0.103214
"Chris Mihm"	0.102988
"Wendel Clark"	0.102603
"Adam Deadmarsh"	0.102235
"Curtis Brown"	0.101891
"Jason Allison"	0.101875
"Jermaine O'Neal"	0.10162
"Sean Burke"	0.101583
"Scott Gomez"	0.100761
"Jeff Friesen"	0.100529
"Brian Rolston"	0.100348
"Tony Massenburg"	0.100246
"Todd Harvey"	0.0999625
"Jozef Stumpel"	0.0999178
"Jyrki Lumme"	0.0997604
"Ian Wright"	0.099581
"Sam Clancy"	0.0990702
"Mike Jones"	0.0989809
"Elden Campbell"	0.0986467
"Miroslav Satan"	0.0983451
"Rob DiMaio"	0.0982129
"Matt Geiger"	0.098207
"Wang Tao"	0.0977763
"Herb Williams"	0.0964086
"Michael Peca"	0.096196
"Dmitri Khristich"	0.0961552
"Raul Diaz Arce"	0.0960107
"Donyell Marshall"	0.0955912
"Patrik Stefan"	0.0953516
"Peter Forsberg"	0.0953378
"Jesse Orosco"	0.0950253
"Will Perdue"	0.0948956
"Manny Malhotra"	0.0946179
"Felix Potvin"	0.0941659
"Grant Marshall"	0.0937797
"Antawn Jamison"	0.09373
"Brian McBride"	0.0929922
"Todd MacCulloch"	0.0928529
"Sun Wen"	0.0922198
"Chris Gatling"	0.0920523
"Roy Lassiter"	0.0919411
"Natalie Williams"	0.0918451
"Alexei Yashin"	0.0918417
"Mike Modano"	0.0917806
"Geoff Sanderson"	0.0915034
"Brad Ausmus"	0.0910823
"Steve Heinze"	0.0910534
"Hristo Stoichkov"	0.0909839
"Eric Murdock"	0.0905844
"Matthew Barnaby"	0.0904836
"Terry Porter"	0.0904503
"Carlos Valderrama"	0.0902603
"Eric Lindros"	0.0899631
"Rodney Rogers"	0.0899125
"Sam Perkins"	0.0896418
"Scot Pollard"	0.0892456
"Tiffeny Milbrett"	0.0891912
"Steve Rucchin"	0.0889464
"Grant Long"	0.0889212
"Joe Nieuwendyk"	0.0887151
"J.R Reid"	0.0886715
"Bill Wennington"	0.088578
Smolinski	0.0883719
"Stern John"	0.0880737
"Keith Van Horn"	0.0879922
"Phillippi Sparks"	0.0879664
"Kenny Thomas"	0.0878016
"Aaron Gavey"	0.0877637
"Joe Thornton"	0.0876981
"Steve Thomas"	0.0874417
"Wang Zhizhi"	0.0873769
"Maurice Taylor"	0.0873139
"Tony Hrkac"	0.0872357
Laperriere	0.087109
"Lisa Leslie"	0.0870567
"Anita Wachter"	0.0868621
"Pavel Bure"	0.0858963
"Brenden Morrow"	0.0857739
"Tony Amonte"	0.0857332
"Brad Isbister"	0.0854414
"ZIGMUND PALFFY"	0.085288
"Mark Messier"	0.0851103
"Greg Ostertag"	0.0850582
"Shawn Bradley"	0.0848231
"Tim Taylor"	0.0847978
Roenick	0.0847713
Lacroix	0.0846116
"Shawn Kemp"	0.0845947
"Arvydas Sabonis"	0.0845822
"Bryan Berard"	0.0844672
"Antoine Carr"	0.0843664
"Igor Larionov"	0.0841173
"Alexander Mogilny"	0.0840809
"Shannon MacMillan"	0.0837727
"Steve Smith"	0.083588
Sundin	0.0835255
"Paul Kariya"	0.0833856
LaPointe	0.0832533
"Corliss Williamson"	0.0828587
"Dennis Scott"	0.0828214
"Gabe Muoneke"	0.082757
"Terry Cummings"	0.0826916
"Dave Andreychuk"	0.0825399
"Bruce Matthews"	0.0825323
Donato	0.0822848
"Clifford Robinson"	0.0821282
"Nikolai Khabibulin"	0.0820623
"Glenn Robinson"	0.0817657
"Benoit Hogue"	0.0817271
"Luc Longley"	0.0815116
Palffy	0.0814976
"Alexei Kovalev"	0.081228
"Raef LaFrentz"	0.0812173
"Scott Zolak"	0.0807867
Elias	0.0807321
"Petr Nedved"	0.0804699
"Derek Harper"	0.0804208
Arnott	0.0804108
"Theo Ratliff"	0.0803604
"John LeClair"	0.0802866
"Jonathan Bender"	0.0801375
"Morris Peterson"	0.0799601
"Bobby Phills"	0.0799372
"Isaiah Rider"	0.0796271
))
(cliffhanger (desc 4117.11) (sims
slugfest	0.0743902
toss-up	0.0728582
storybook	0.0711357
"foregone conclusion"	0.0635862
"popularity contest"	0.0613135
crapshoot	0.0607868
seesaw	0.0603488
"close call"	0.0569265
"AFC Championship Game"	0.0557166
"waiting game"	0.0553635
no-brainer	0.0545601
"Twin Peaks"	0.0542608
"pain in the neck"	0.0537451
"guessing game"	0.0534135
potboiler	0.0527584
stinker	0.0523543
free-for-all	0.0520899
"second tour"	0.0518117
shocker	0.0514041
"white elephant"	0.0511333
bonanza	0.0510729
serial	0.0504999
"Jar Jar"	0.0500041
"Star Trek"	0.0494441
"free form"	0.0490489
Catch-@@	0.0479783
"love story"	0.0479472
overlong	0.0479062
Buffy	0.0474845
hourlong	0.0473796
"soap opera"	0.0473222
whodunit	0.0471383
farce	0.0469721
Lapentti	0.0469529
"identity crisis"	0.0465081
travesty	0.0464411
blockbuster	0.0463568
"success story"	0.0460763
blowout	0.0460024
"plot line"	0.0456247
pinball	0.0455759
defining	0.0452133
revers	0.0451986
schtick	0.0448488
Clinton-Lewinsky	0.0443884
"Arabian Nights"	0.044133
"tit for tat"	0.0440896
"wild West"	0.0438593
Seinfeld	0.043853
"Twilight Zone"	0.0438256
"sight gag"	0.0438118
"Holiday Bowl"	0.0437913
sideshow	0.0435773
bogeyman	0.043518
bellwether	0.0434264
Docudrama	0.0432973
Superman	0.0431571
come-on	0.0431501
satire	0.043148
craziness	0.0430624
punchy	0.0428252
suspense	0.0428124
"easy money"	0.0425102
"parlor game"	0.0422903
up-and-down	0.0422825
jibe	0.0420763
"TV movie"	0.042017
"growth industry"	0.041951
"science fiction"	0.0419258
walkover	0.0418393
bloodletting	0.0417508
mini-series	0.0416933
letdown	0.0416811
sleeper	0.0416603
"shell game"	0.0415253
shake-up	0.0412827
"European Champions"	0.0412124
"night game"	0.0411919
fluke	0.0410891
"Midwest Regional"	0.0410019
anything-goes	0.0409522
escapist	0.0408218
"tidal wave"	0.0407178
"detective story"	0.0406427
tossup	0.0406325
"deja vu"	0.0406191
superhero	0.0404029
Dilbert	0.0403991
"Fiesta Bowl"	0.0402075
ferment	0.0401778
flashpoint	0.0401743
happiest	0.0401569
dud	0.0400293
))
(Clifford (desc 3194.34) (sims
Ebbers	0.0789595
Rubenstein	0.0719176
Lindner	0.0707449
Gerald	0.0701321
Goldin	0.0690017
Meriwether	0.0690017
Brody	0.0668069
Imperatori	0.0666623
Faget	0.0660501
"Juan Miguel"	0.0659962
prentice	0.0657777
Coelho	0.0647981
Arpaio	0.0644291
Talebi	0.0638031
"Juan Miguel Gonzalez"	0.0636164
Burke	0.0636144
Eizenstat	0.0636117
Kurtz	0.0631383
Stahl	0.0628578
Yoon	0.0628464
Sund	0.0627899
Wenger	0.0619018
McAuliffe	0.0618064
Lipponen	0.0617337
Jon	0.061195
Kumar	0.0611005
Conroy	0.0610939
Steven	0.0610767
Rosenthal	0.0610751
Kendall	0.061071
Ballmer	0.0608454
Randall	0.0606748
SHUSTER	0.060035
Harrell	0.0600081
Begala	0.0598572
Hamlin	0.0598045
Antley	0.0597091
Edward	0.0595759
Craig	0.0595604
Connor	0.0595266
Greenberg	0.0593452
Cindy	0.0590096
Neal	0.0590059
Cuomo	0.0584397
Buthelezi	0.0582631
Goss	0.0582379
Chung	0.0580749
Hamid	0.0580359
"Martin Luther King III"	0.0579672
Alderson	0.0579185
Gilbert	0.0577553
Blumenthal	0.0577223
Fuentes	0.0575739
Brad	0.057468
Margolis	0.0573128
Berenson	0.0568143
Yastrzhembsky	0.0567824
O'Neil	0.0565041
Calhoun	0.0560331
Evans	0.0558466
Keegan	0.0557316
Weiner	0.0556045
Shapiro	0.0555265
Ruehe	0.0553158
Bakaly	0.0548936
Fernandes	0.0548675
Farley	0.0548644
Bain	0.0548038
Fassett	0.0547184
Gabriel	0.0545347
Guterres	0.0544754
Kerry	0.0543642
Silas	0.0543641
Silverman	0.0543234
Walsh	0.0541004
Zucker	0.0540295
Hoffa	0.0539692
REEVE	0.0534908
Buffett	0.0534683
Coppola	0.053259
Blackmun	0.0532177
Vasquez	0.0531418
Ohlmeyer	0.0531415
Ebersol	0.0530785
Hess	0.0530619
Kurth	0.0530384
Barksdale	0.0528523
Schieffer	0.0528494
Kay	0.0527608
Wagoner	0.0526364
Rodionov	0.0524708
Solich	0.0523235
Checketts	0.052246
Fiorina	0.0521427
Finkel	0.0521047
Gehry	0.0520874
Levin	0.0520698
Samuel	0.0519235
Markovic	0.0518868
"Michael Kennedy"	0.0518381
Howard	0.0517803
Weinstein	0.0515515
Turabi	0.0515341
Jeff	0.0515265
Trudeau	0.0515056
Torvalds	0.0514509
Mattingly	0.0513681
Krzyzewski	0.0513093
Quayle	0.0512498
Sinclair	0.0512465
Romanowski	0.0512267
Connerly	0.0510749
Connolly	0.0510087
Wayne	0.0510062
Eastman	0.0509501
Levitt	0.0509441
Fieger	0.0509357
Goff	0.0508538
Nate	0.0507368
Castaneda	0.0507006
Cleary	0.0506898
Romer	0.050666
Kushner	0.0506301
Mann	0.0505294
Baird	0.0504666
Birnbaum	0.0504413
Rooney	0.0504411
Atkinson	0.05039
Barnett	0.0503533
Sassa	0.0503018
Colbert	0.0501334
Schippers	0.0500868
Kevin	0.0500214
Galbraith	0.0500116
Colangelo	0.0499771
Donahue	0.0498587
Icahn	0.0497637
Ainge	0.0497131
Mustafa	0.0496985
Ramirez	0.0496485
Landry	0.0496029
Hodler	0.0495735
Ruggiero	0.0495647
Klestil	0.0495522
Rabe	0.0495228
Galvin	0.0494725
Lerner	0.0494574
Jorgensen	0.0494203
Steinberg	0.0493173
Blackwell	0.0492691
Whitacre	0.0492668
Drabinsky	0.0492559
Osborne	0.0491663
McCarty	0.049145
Demaci	0.0491198
Ahmed	0.0491137
Bellush	0.0491092
Kissinger	0.0490761
Milbury	0.0488681
Hensley	0.0488023
Chadwick	0.048752
Goh	0.0486989
Zarb	0.0486945
Clyde	0.048676
Garza	0.0486594
Crenshaw	0.0485962
Hitchens	0.048504
McEwan	0.0484897
Moratinos	0.0484752
Goldstein	0.0484609
Ershad	0.0484604
Pryor	0.0484386
Garcetti	0.0483874
Egan	0.0483667
Quigley	0.04836
Reiner	0.0482747
Levinson	0.0482508
Schell	0.048134
Sorkin	0.0481013
Scruggs	0.0480946
Fech	0.0480686
Masire	0.0480456
Amato	0.0479676
MacKay	0.0479393
LeRoy	0.0479028
Dougherty	0.0478181
Kouchner	0.0478079
"John Kim"	0.047794
Koehler	0.0477741
Abdullah	0.0477738
Collier	0.0477708
Westinghouse	0.0477699
Lyman	0.0477349
Jovanovic	0.0477251
Lynn	0.0476933
Madsen	0.0476686
Regan	0.0476577
Cochran	0.0476456
Rudman	0.0476353
Azizah	0.0476342
))
("Clifford Robinson" (desc 1962.31) (sims
"Cliff Robinson"	0.283042
"Danny Manning"	0.265503
"Rex Chapman"	0.262754
"Tom Gugliotta"	0.255492
"George McCloud"	0.245259
"Corliss Williamson"	0.238697
"Rodney Rogers"	0.229212
"Antonio McDyess"	0.201897
"Grant Long"	0.20044
"Shawn Marion"	0.199602
"CORIE BLOUNT"	0.185161
"Kevin Johnson"	0.181311
"Chris Gatling"	0.175575
"Luc Longley"	0.16364
"Gary Trent"	0.16066
"Samaki Walker"	0.160656
"Dennis Scott"	0.15889
"Lamond Murray"	0.15858
"Jason Kidd"	0.152811
"Joe Smith"	0.15123
"Pat Garrity"	0.150647
"Brian Grant"	0.149228
"Otis Thorpe"	0.148132
"Penny Hardaway"	0.146476
"SCOTT BURRELL"	0.141646
"Jaren Jackson"	0.141391
"Mark Bryant"	0.138381
"Dan Majerle"	0.136316
"Austin Croshere"	0.135354
"Grant Hill"	0.133635
"John Wallace"	0.132363
"Jermaine O'Neal"	0.131895
"Dale Ellis"	0.130133
"Shareef Abdur-Rahim"	0.128974
Gugliotta	0.128451
"Joe Kleine"	0.128185
"Shandon Anderson"	0.127639
"Oliver Miller"	0.126649
"Robert Traylor"	0.125845
"Antawn Jamison"	0.125029
"Mitch Richmond"	0.123832
"Brian Skinner"	0.122721
"Detlef Schrempf"	0.121437
"Glenn Robinson"	0.121424
"Cedric Ceballos"	0.120765
"Maurice Taylor"	0.120699
"Charles Barkley"	0.12058
"Danny Fortson"	0.119803
"Anfernee Hardaway"	0.119369
"Robert Horry"	0.116791
McCloud	0.116562
"Jarvis Turner"	0.116225
"Kevin Garnett"	0.116182
"Vin Baker"	0.116039
"Clarence Weatherspoon"	0.115823
"Shawn Kemp"	0.115304
"LaPhonso Ellis"	0.112329
"Alan Henderson"	0.112292
"Rod Strickland"	0.111766
"Chris Porter"	0.111208
"Vlade Divac"	0.111196
"Chris Webber"	0.110647
"Juwan Howard"	0.109579
"P.J Brown"	0.108961
"Matt Geiger"	0.107948
"Theo Ratliff"	0.106597
"J.R Reid"	0.105654
"Kurt Thomas"	0.105204
"Jerome Kersey"	0.104373
"Sherman Douglas"	0.103899
"Kevin Freeman"	0.103834
"Chris Crawford"	0.103821
"Tracy McGrady"	0.103647
"Jalen Rose"	0.103599
"Alexei Kovalev"	0.103219
"Tamika Catchings"	0.10314
"Donyell Marshall"	0.102851
"Othella Harrington"	0.102751
"Rasheed Wallace"	0.102706
"Damon Stoudamire"	0.102478
"Nick Van Exel"	0.10244
"Jim Jackson"	0.101102
"Derrick Coleman"	0.100494
"Rashard Lewis"	0.100273
"Lorenzen Wright"	0.100167
"Tony Massenburg"	0.0999645
"Tyrone Nesby"	0.0998399
"Christian Laettner"	0.0987094
"Tim Duncan"	0.0981788
"Rick Tocchet"	0.09761
"Kris Clack"	0.0973745
"Scot Pollard"	0.0968909
"Sean Farnham"	0.0966855
"Elden Campbell"	0.0961901
"Vincent Damphousse"	0.0961838
"Michael Wright"	0.0961504
"Tim Thomas"	0.0960133
"Gabe Muoneke"	0.0957218
"Ted Donato"	0.0954763
"Scottie Pippen"	0.0954658
"Hu Weidong"	0.0950607
"Antoine Carr"	0.0947947
"Wendel Clark"	0.0945448
"Anson Carter"	0.0942667
"Stern John"	0.0934358
"Geoff Sanderson"	0.0934023
"Karl Malone"	0.0923571
"Dale Davis"	0.0922818
"Brian Shaw"	0.0913137
"Jamal Mashburn"	0.0911942
"Doug Gilmour"	0.0911223
"Richard Jefferson"	0.090828
"Pat Verbeek"	0.0906904
"Brad Miller"	0.0903228
"Kevin Willis"	0.0902928
"Walt Williams"	0.0902836
"Ante Razov"	0.090153
"Jason Allison"	0.0900556
"Kenny Thomas"	0.0897579
"Michael Finley"	0.0897313
"Billy Owens"	0.0894321
"Rico Hines"	0.0892536
"Sam Perkins"	0.0890385
"Raef LaFrentz"	0.0888505
"Chris Mills"	0.0887432
"Gary Payton"	0.0885659
"Antonio Davis"	0.0885587
"Travis Knight"	0.0883042
"Eric Snow"	0.0881533
"Morris Peterson"	0.0877625
"Charles Oakley"	0.0875558
"Derek Harper"	0.0874985
"Darrell Armstrong"	0.0872662
"Jerome Moiso"	0.0872421
"Terry Porter"	0.0871784
"Shane Doan"	0.0865923
"Mike Sullivan"	0.0865391
"Predrag Mijatovic"	0.0865309
"Ruben Patterson"	0.0860548
"Rick Fox"	0.0860489
"Jumaine Jones"	0.0857011
"Matt Barnes"	0.0853231
"Theo Fleury"	0.0840816
"Aaron Williams"	0.0839594
"Sam Clancy"	0.0833227
"Sergei Fedorov"	0.0831023
"Bill Guerin"	0.0830168
"Ian Wright"	0.0829272
"Toni Kukoc"	0.0822277
Hardaway	0.0821929
"Cliff Ronning"	0.0821282
"Jayson Williams"	0.0818816
"Mike Miller"	0.0818136
"Dejan Savicevic"	0.0817645
"Bill Wennington"	0.081668
"Jelani McCoy"	0.0813782
"Faustino Asprilla"	0.081309
"Peter Forsberg"	0.0810858
"Jerry Stackhouse"	0.0806869
McDyess	0.0803721
"Paul Pierce"	0.0803344
"Allen Iverson"	0.0799747
"DeLisha Milton"	0.0797086
"Eric Murdock"	0.0789943
"Keith Van Horn"	0.0789068
"Jamie Feick"	0.0787735
"Dickey Simpkins"	0.0787146
"Brian Scalabrine"	0.078679
"Terry Cummings"	0.0782004
"Chris Drury"	0.0781296
"Matthew Barnaby"	0.0781247
"Valeri Kamensky"	0.0779584
"Sheryl Swoopes"	0.0779092
"Guy Carbonneau"	0.0778885
Longley	0.0777052
"Kenyon Martin"	0.0775147
"Chris Taylor"	0.0767287
Ceballos	0.0765299
"JaRon Rush"	0.0763948
"Sean Elliott"	0.0762362
"Michael Smith"	0.0760217
"Hao Haidong"	0.0755047
"Bryon Russell"	0.0753805
"Joe Juneau"	0.0749519
"Dirk Nowitzki"	0.0749168
"Shannon MacMillan"	0.0748693
"Pavol Demitra"	0.0747514
"Matt Bullard"	0.0746512
"Shane Battier"	0.0746
"Terrell Brandon"	0.0744714
"Chris Anstey"	0.0743889
"Don Maclean"	0.0743401
"Jeff Friesen"	0.0742777
"Adam Deadmarsh"	0.0740893
"Sean Rooks"	0.073916
"Steve Smith"	0.0737108
"Ron Artest"	0.0736106
"ZIGMUND PALFFY"	0.0732726
"Karim Abdul-Jabbar"	0.073071
"Chris Mullin"	0.0729244
))
("Cliffs Notes" (desc 748.781) (sims
"German language"	0.0922338
PBA	0.090481
"instruction manual"	0.0853245
CGI	0.0822647
"blank check"	0.0821363
Braille	0.0812827
PCI	0.0805088
"first CD"	0.0787523
"three words"	0.0776544
Stratus	0.0771563
"Good Book"	0.0746904
revisionist	0.0738449
cruiserweight	0.073826
Conrail	0.0727853
"standing room"	0.0725019
"death warrant"	0.0720367
HTML	0.0715766
late-'@@s	0.0713296
"Game Boy"	0.0712761
storybook	0.0707477
Tropicana	0.0704273
Muzak	0.0696818
"picture book"	0.0692876
"birthday card"	0.068646
Photoshop	0.0674354
Telemundo	0.0673498
triage	0.067268
shredder	0.0672566
"Learning Company"	0.0659637
XYLAN	0.0658091
overdraft	0.0656402
thumbnail	0.0655116
"good story"	0.0651292
"cargo container"	0.0649289
"Windows @.@"	0.0643594
N@@	0.0642891
encyclical	0.0641911
Sartre	0.0633985
punchline	0.0633868
BLUETOOTH	0.0628582
Cerent	0.0626574
GMC	0.0626105
gnome	0.062182
cappella	0.0620968
"coaxial cable"	0.062005
Aramaic	0.0619747
Moby-Dick	0.0617927
Prima	0.0614168
"point system"	0.0613864
haiku	0.0610491
niner	0.0605184
live-action	0.060518
"Ingmar Bergman"	0.0604136
glam	0.0600657
Americanized	0.0599918
jeremiad	0.0597598
Vulcan	0.0596849
"junior lightweight"	0.0596196
Cosmo	0.0595495
olestra	0.0590423
diskette	0.0588125
lemming	0.0587648
Z@@	0.0586728
capella	0.0585815
panty	0.058534
arabesque	0.0584556
Kiswahili	0.0583096
"International Boxing Federation"	0.0582079
nonfiction	0.0581427
Win@@	0.0578937
Netcom	0.0577531
"one million US dollars"	0.0573215
"sheet music"	0.0573014
"Williamson County"	0.0572504
e-BOOKS	0.0572315
forklift	0.0570813
CD-R	0.0569916
"water filter"	0.0565137
"musical score"	0.0564546
no-frills	0.055925
abacus	0.0558599
piglet	0.05568
"Liquid Audio"	0.0555538
"New Testament"	0.0554535
"picture postcard"	0.0553893
lassie	0.0550534
"American League West"	0.0550224
Solaris	0.0548997
ECW	0.0548364
"National League West"	0.0548018
"power tool"	0.0544471
"Mobil Corp."	0.0543643
"reference book"	0.0540484
"tissue paper"	0.0538642
easements	0.0538427
"Southwest Conference"	0.0537804
Spyglass	0.0537717
"last two digits"	0.0536549
shredders	0.0534577
obit	0.0534174
nt	0.0534023
"expression of regret"	0.0533545
instructions	0.0533507
"Office @@"	0.0533061
MS-DOS	0.0532619
"Fed Cup"	0.0532396
"tool kit"	0.0528557
Mapes	0.0526972
"single file"	0.05269
prosthesis	0.0526691
monograph	0.0525633
PlayStation	0.0525203
crotch	0.0524241
"hard copy"	0.0523353
"Trojan Horse"	0.0522553
pre-@@@@	0.0519804
"Pocket Books"	0.0519363
Merton	0.051797
FEDERALIST	0.0516529
Kroll	0.0515873
synthesizer	0.0515521
"Marshall Plan"	0.051191
lastest	0.0510263
WBC	0.050971
printout	0.0508497
Kirov	0.0508108
Tintin	0.0507042
emulator	0.0506445
"Drayton McLane Jr."	0.0505614
"AL Central"	0.050287
Comsat	0.0501384
Cyrix	0.0501275
"wide screen"	0.0500703
Lehrer	0.050055
Broderbund	0.0500265
hardtop	0.0499012
Springbok	0.0498669
"junior welterweight"	0.0498131
synopses	0.0497311
"five million tons"	0.0496862
"Bay Networks"	0.0496774
"secret plan"	0.0496642
Encarta	0.0496494
RUC	0.0495911
Catch-@@	0.0495694
"NFC East"	0.049505
"oil paint"	0.0494681
"Italian League"	0.0494332
VHS	0.0493854
Orangina	0.049287
"Palm III"	0.0492852
"a few lines"	0.0492235
"Defense Agency"	0.0492034
blinker	0.0491765
"back office"	0.0491654
Petrofina	0.0491297
T@	0.0490292
"piggy bank"	0.0489921
"utility program"	0.0489834
Snapple	0.0489506
Savon	0.0489492
Airstream	0.0489278
sandbox	0.0486995
Hummer	0.048697
Promos	0.0486233
Manny	0.0486092
nutshell	0.0485973
flyweight	0.0485826
"slush fund"	0.0485191
"right of way"	0.0484917
Midi	0.0484534
Nabisco	0.048447
roadmap	0.0484324
keystrokes	0.0484104
"Masterpiece Theater"	0.048348
"Pepperidge Farm"	0.0483389
"Lexington Avenue"	0.0483175
SDL	0.0482897
"Larry Sanders Show"	0.0482379
Buicks	0.0482254
"line of products"	0.0482024
"Playstation II"	0.0481867
afterword	0.048184
merry-go-round	0.0481495
horoscope	0.048003
"Norfolk Southern"	0.0475881
"electric fan"	0.0475821
Burroughs	0.0475326
WordPerfect	0.0475314
knockoff	0.0475267
Lan	0.0475137
"Big West"	0.0474768
"WTA Tour"	0.0474743
"Johan Cruyff"	0.0474601
"junior middleweight"	0.0474072
USTA	0.0473791
"Canadian Open"	0.0473226
trowel	0.0472554
PolyGram	0.0471878
AFL	0.0470824
))
(Clifton (desc 2832.84) (sims
"East Orange"	0.163048
"Fort Lee"	0.14974
"Cherry Hill"	0.136997
Chatham	0.131843
Woodbridge	0.13021
LAKEWOOD	0.129524
Englewood	0.127722
Montclair	0.127543
Bloomfield	0.127297
Medford	0.121016
Ridgewood	0.118593
"West Orange"	0.118349
Chappaqua	0.117759
Morristown	0.116466
"Union City"	0.11281
"Boynton Beach"	0.110457
Somerville	0.110204
Secaucus	0.10881
Westfield	0.107347
Irvington	0.10734
Paterson	0.102605
Lawrenceville	0.101158
Williamstown	0.10108
"Saratoga Springs"	0.0995222
Wildwood	0.0994785
"Sussex County"	0.09585
Scarsdale	0.0951203
Brunswick	0.0950123
"Ocean City"	0.0949466
"Paradise Valley"	0.094824
"Highland Park"	0.0945874
Bergen	0.0943456
Princeville	0.0943237
ASHEVILLE	0.094148
"Ciudad Juarez"	0.0925524
Bridgewater	0.0922936
Sparta	0.0921561
"Round Rock"	0.0920465
Hackensack	0.091256
Plano	0.0908396
Middletown	0.0904715
Madison	0.0897034
Dunwoody	0.0892749
Falmouth	0.0892037
Bensonhurst	0.0887184
Encino	0.0884231
"New Rochelle"	0.0883903
"Fairfax County"	0.0882827
Nago	0.0882732
Peekskill	0.0875714
Pleasantville	0.0875153
Eureka	0.0874697
Yonkers	0.0873358
Riverdale	0.0872624
Somerset	0.086652
Kingston	0.0858536
Braintree	0.0857051
Fairfield	0.0856299
Tarrytown	0.0855482
Bayonne	0.0852795
"Essex County"	0.0851848
TRENTON	0.0842438
Camden	0.0841888
riverside	0.0841722
Chester	0.0835882
"Woodland Hills"	0.0835217
"TOMS RIVER"	0.0827793
Mansfield	0.0826207
Rutherford	0.0824694
Hoboken	0.0824073
"White Plains"	0.0822096
Bridgehampton	0.0821055
Norwood	0.0817184
"Mill Valley"	0.0816456
"Del Rio"	0.0816002
Ithaca	0.0815226
Arlington	0.0807452
"Garden City"	0.0806441
"Overland Park"	0.0805585
"Virginia Beach"	0.0804918
Martinsville	0.0803628
Fairfax	0.0802288
bethel	0.0802164
franklin	0.0801405
Bangor	0.0796707
"Port Elizabeth"	0.0794744
Casas	0.0794445
"Newport Beach"	0.0794351
"San Rafael"	0.0792206
Reston	0.0787929
"Monmouth County"	0.0787586
Jamestown	0.0784598
"West Palm Beach"	0.0779406
"Hollywood Hills"	0.0777262
"Port Arthur"	0.0773433
Pennington	0.0769554
BRIGHTON	0.0768453
Schenectady	0.0766932
Chatsworth	0.0766549
Marjayoun	0.0758386
"Manhattan Beach"	0.0757263
"La Jolla"	0.0756361
Hillsboro	0.0750983
Naples	0.0747701
Tarzana	0.0745638
Brentwood	0.0744558
"Rocky Mount"	0.0744175
Norwich	0.0743999
Flushing	0.0743564
"Bergen County"	0.0741417
Cali	0.0739077
Greenfield	0.073715
Utica	0.0734322
"Studio City"	0.0731898
Hattiesburg	0.0729147
"Lake Worth"	0.0726507
Nakuru	0.0725013
"Thousand Oaks"	0.0724405
Stamford	0.0712923
Lhokseumawe	0.0711672
"Crystal City"	0.070817
Aberdeen	0.0707372
"North Hollywood"	0.0706355
Westport	0.0701922
TARBORO	0.0701278
Chamonix	0.0696687
"Palm Beach Gardens"	0.0696352
Zamboanga	0.0695347
Tempe	0.069362
Carthage	0.0691915
Alpharetta	0.068859
"Brooklyn Heights"	0.0687567
TEGUCIGALPA	0.0687205
Taba	0.0686914
Wilmington	0.0685088
Jasper	0.0682682
Williamsburg	0.0682553
Holyoke	0.068234
Hillsborough	0.0679358
Troy	0.0677454
"Gaza City"	0.0675372
"Santa Clarita"	0.0675057
"Brighton Beach"	0.0674655
Portsmouth	0.0674495
Huntington	0.0673466
"San Marcos"	0.0673036
"Jersey City"	0.0671901
Brownsville	0.0670671
Hanover	0.067028
"Miami Beach"	0.0668961
"East Hampton"	0.0668404
Americus	0.0667577
Brockton	0.0666246
Greenville	0.0665437
Monmouth	0.0664895
Raleigh	0.0663517
"Happy Valley"	0.066219
Boise	0.066121
Plattsburgh	0.0660938
Port-au-Prince	0.0660116
Sussex	0.0660087
"New Canaan"	0.0659969
McLean	0.0659372
harrison	0.0655577
Quincy	0.065512
Odessa	0.0653265
"San Fernando Valley"	0.0652398
Glendale	0.0652284
Blacksburg	0.0652236
"High Point"	0.0651859
Laramie	0.0650133
Frederick	0.0649839
Akron	0.064978
Pomona	0.0649692
Kettering	0.0649607
Dover	0.0649181
Kensington	0.0647954
Norwalk	0.0647345
"East Los Angeles"	0.0646956
Huntsville	0.0646894
Pittsfield	0.0646651
Tokaimura	0.0646299
"Bel Air"	0.064536
"San Sebastian"	0.0644713
"Great Neck"	0.0643673
Springfield	0.0643296
"Santa Rosa"	0.0642949
"Mission Viejo"	0.0642924
Newark	0.0642188
Redding	0.0641891
Fredericksburg	0.0641278
"Washington Heights"	0.0640336
Amherst	0.0640062
Urus-Martan	0.0638117
"Pacific Palisades"	0.0634877
Verona	0.0634405
Warwick	0.0634032
Elmira	0.0631153
"Hyde Park"	0.0630991
Freeport	0.063037
))
(climate (desc 67549.4) (sims
environment	0.197132
atmosphere	0.187762
weather	0.173224
"economic condition"	0.137511
"investment climate"	0.136172
condition	0.13481
"weather conditions"	0.133353
situation	0.124974
temperature	0.121254
"market condition"	0.117117
economy	0.112068
culture	0.111232
outlook	0.106688
trend	0.104656
mood	0.103973
ecosystem	0.103603
terrain	0.10293
stability	0.102384
landscape	0.0994717
circumstance	0.0975107
pattern	0.0970297
policy	0.0956451
"labor market"	0.095192
structure	0.0932259
geography	0.0927218
development	0.0925638
attitude	0.0921746
ecology	0.0917729
demographics	0.0913198
soil	0.0907715
growth	0.0902838
"business condition"	0.0886721
scenery	0.088607
instability	0.0875784
health	0.0872493
market	0.0867471
drought	0.0865815
politics	0.0861588
sentiment	0.0853176
nature	0.0852383
diversity	0.0850719
prospect	0.0846904
shortage	0.0843133
wildlife	0.0842082
"quality of life"	0.0833237
relation	0.0833212
infrastructure	0.083304
population	0.0832334
"natural resource"	0.0828578
resource	0.082738
system	0.0826355
reality	0.0817874
society	0.081607
geology	0.0810534
fundamental	0.0810443
relationship	0.080692
habitat	0.0789547
biodiversity	0.0788626
quality	0.0788598
dynamic	0.0786725
potential	0.0786721
humidity	0.0782536
lifestyle	0.0780905
rainfall	0.0771549
problem	0.0770728
poverty	0.0767787
process	0.0765731
strategy	0.0765668
vegetation	0.0765645
factor	0.0764623
history	0.0762899
"air pollution"	0.076256
perception	0.0761658
wind	0.0761303
pollution	0.075921
industry	0.0755106
change	0.075481
behavior	0.0754362
habit	0.0752903
life	0.0751064
marketplace	0.0748277
slowdown	0.074816
"oil price"	0.0744047
turmoil	0.0743259
phenomenon	0.0737456
agriculture	0.0736727
crisis	0.073535
framework	0.0734405
activity	0.0732108
area	0.0731998
crises	0.0731822
boom	0.0731089
"environmental condition"	0.0728571
outcome	0.0728424
topography	0.0727367
spirit	0.0726632
uncertainty	0.0726534
downturn	0.0726177
"El Nino"	0.0726022
tradition	0.0724565
level	0.0724232
"exchange rate"	0.0718925
style	0.0718901
prosperity	0.0718779
inflation	0.071596
"legal system"	0.0713978
turbulence	0.0713838
future	0.0713536
tension	0.07122
context	0.07116
"public opinion"	0.0709808
flow	0.0709476
sense	0.0708718
opportunity	0.0700986
security	0.0700804
"cold weather"	0.0700405
location	0.0697168
"economic system"	0.0696871
"high temperature"	0.0696166
surroundings	0.0695617
feeling	0.0694874
air	0.069264
democracy	0.0692256
evolution	0.0690107
upheaval	0.0689348
tide	0.0688546
status	0.0688363
forest	0.0688005
impact	0.0686916
experience	0.0686786
dynamics	0.0686677
lack	0.0685966
demand	0.0684937
mechanism	0.0684785
"job market"	0.0681746
disaster	0.0680308
"trade balance"	0.0680263
epidemic	0.0679725
"stock market"	0.0679396
heat	0.0678984
mentality	0.0678798
globalization	0.0678286
unemployment	0.0678127
"economic policy"	0.0678064
"political system"	0.0677521
volatility	0.0676969
"hot weather"	0.0675567
fishery	0.0674928
"world economy"	0.0673834
tourism	0.0672732
water	0.0672333
image	0.0670443
balance	0.0670201
competitiveness	0.0667656
Chemistry	0.066679
architecture	0.0661881
cycle	0.06617
momentum	0.066075
sunshine	0.0660024
peace	0.0657198
price	0.0657189
tone	0.0656713
region	0.0656537
taste	0.0656234
heritage	0.0655554
"water supply"	0.0655448
"economic crisis"	0.0654668
setting	0.065321
technology	0.0652982
language	0.0652663
ocean	0.0651991
recession	0.0651909
current	0.0651609
"standard of living"	0.0650206
scenario	0.0649001
"housing market"	0.0647304
employment	0.0647276
"financial condition"	0.0647265
"crime rate"	0.0646401
strength	0.0646267
pressure	0.0644127
community	0.0644041
difficulty	0.0643986
approach	0.0643614
storm	0.0642305
economics	0.0642124
movement	0.0640808
effect	0.0640742
capability	0.0640424
"rapid growth"	0.0639433
"foreign policy"	0.0639245
measure	0.0637603
personality	0.0636874
"magnetic field"	0.0636458
fluctuation	0.0634536
sector	0.0633918
"soil erosion"	0.0633687
civilization	0.0633227
stress	0.0632742
crop	0.0632696
))
(climatologist (desc 1206.39) (sims
astrophysicist	0.139133
ecologist	0.111149
geophysicist	0.105669
"English professor"	0.105598
neuroscientist	0.103996
entomologist	0.0860925
biochemist	0.0821108
epidemiologist	0.0818949
anthropologist	0.0815234
Provost	0.0775031
ophthalmology	0.0767162
microbiologist	0.0757511
oceanographer	0.0753075
co-president	0.0726084
horticulturist	0.0725534
"director of public affairs"	0.0687985
forester	0.0685417
"director of research"	0.0675227
demographer	0.0671547
professorship	0.0666977
"business editor"	0.0662195
"history department"	0.0659806
"political scientist"	0.0654162
"political economy"	0.065078
toxicologist	0.064435
"mechanical engineer"	0.0644026
"postmaster general"	0.0610976
pathologist	0.0598743
"hockey coach"	0.0598309
meteorologist	0.0595074
mathematician	0.0592077
Urology	0.0585259
pharmacologist	0.0579633
"department employee"	0.057641
seismologist	0.0570353
"Bill Lann Lee"	0.0564161
"fire chief"	0.0554372
"prosecuting attorney"	0.0552659
ethicist	0.0548409
astrophysics	0.0546646
chemist	0.0533064
"Bobby Newcombe"	0.052397
"fishing license"	0.0517719
"game warden"	0.0511331
"assistant professor"	0.0510682
"chemical engineering"	0.0499544
"banking analyst"	0.0498387
"police office"	0.0497684
geographer	0.0497499
"Department of Public Health"	0.0494862
"petrol bomb"	0.0494302
geneticist	0.0487129
bioethicist	0.0483996
"department head"	0.0480815
orthopedist	0.0476029
PLN	0.0466203
"Ethics Commission"	0.0465785
zoologist	0.0453679
zoology	0.0453432
"staff officer"	0.0453159
ornithologist	0.0450023
"sales manager"	0.0447242
"technology analyst"	0.0445822
"campaign adviser"	0.0445289
"telecommunications analyst"	0.0443407
"spelling bee"	0.0441169
"Department of Fish"	0.0437247
"account executive"	0.0436673
"Department of Motor Vehicles"	0.0436498
physiologist	0.0436317
"stage director"	0.0435408
paleontologist	0.0434949
"police boat"	0.0432489
"information officer"	0.0430963
"Supreme Judicial Court"	0.0428859
archivist	0.0422093
criminologist	0.0420224
"English department"	0.0415182
copywriter	0.0413725
"weather forecaster"	0.0412495
"baseball coach"	0.0407982
"chief scientist"	0.0404968
"economic expert"	0.0404556
"Peter Verniero"	0.0402254
gynecology	0.040048
))
(climax (desc 18306.1) (sims
denouement	0.122512
ending	0.0928809
coda	0.0846917
crescendo	0.0820972
culmination	0.0811438
conclusion	0.0797129
epilogue	0.0762599
finale	0.0745363
sequence	0.063743
twist	0.0631115
epiphany	0.0604204
wallop	0.0598598
capstone	0.0592429
"set piece"	0.0580314
postscript	0.0547241
conceit	0.0540958
centerpiece	0.0537633
prelude	0.0533485
backdrop	0.0529373
subtext	0.0519795
drama	0.0517071
evocation	0.0512553
"turn of events"	0.0508072
"turning point"	0.0501414
juxtaposition	0.0495021
narrative	0.049414
turnabout	0.0489601
outcome	0.0485802
arc	0.048462
subplot	0.0476652
nadir	0.0476383
send-off	0.0475423
preview	0.0474469
showdown	0.0470933
tableau	0.0466987
homecoming	0.0464809
sequel	0.0463351
ovation	0.0452572
apotheosis	0.0449382
catharsis	0.0449243
tone	0.0448493
coincidence	0.0448297
reminder	0.044676
vignette	0.0445578
premiere	0.0444631
storyline	0.0444302
midst	0.0443987
summation	0.0440187
sendoff	0.0440067
"focal point"	0.0439886
eruption	0.0439416
"plot line"	0.0439111
anniversary	0.0438465
tribute	0.0437306
tale	0.0437239
revelation	0.0433741
counterpoint	0.0433311
finality	0.0430121
undercurrent	0.0427556
immediacy	0.0426934
bookend	0.0426704
demise	0.0426423
premise	0.0425989
irony	0.0425879
spectacle	0.0422336
episode	0.0419066
interlude	0.0418075
flashback	0.0415822
realism	0.0415306
analogy	0.0415266
reversal	0.0415123
"first days"	0.0414613
chapter	0.0412174
continuation	0.0411102
duel	0.0410441
crux	0.0408968
jolt	0.0407937
staging	0.0407788
metaphor	0.040467
synopsis	0.0402124
imagery	0.0401462
co-producer	0.0401068
))
(climb (desc 27041.5) (sims
ascent	0.154134
plunge	0.109057
uptrend	0.104699
trek	0.0975293
slide	0.0974107
decline	0.0929641
surge	0.0910593
jump	0.0903818
tumble	0.0891184
journey	0.0889545
hike	0.0852232
downtrend	0.0812421
dive	0.079178
ride	0.0790871
decrease	0.0764016
upturn	0.0744977
selloff	0.0735379
turnaround	0.0709214
dip	0.0704098
leap	0.068285
descent	0.0679804
"nose dive"	0.067478
rebound	0.0672873
recovery	0.0668121
runup	0.0662982
spike	0.0654703
falls	0.0649395
slump	0.0646372
upsurge	0.0623802
sell-off	0.0587495
downturn	0.0576056
run-up	0.0573939
uptick	0.0573176
gyration	0.057288
spiral	0.0560769
path	0.0556569
Voyage	0.0555056
fluctuation	0.05484
Correction	0.0543419
ascension	0.0542339
contraction	0.0538049
trend	0.0536385
"price increase"	0.0533128
dropoff	0.0531743
volatility	0.0529204
expedition	0.0528962
rising	0.0527379
drop-off	0.0521182
comeback	0.051307
"mountain pass"	0.0512495
downdraft	0.0512411
depreciation	0.0511705
slope	0.0511473
reduction	0.0510783
reversal	0.0506786
falloff	0.0504611
spurt	0.0504537
"Bull Run"	0.0503285
route	0.0501374
acceleration	0.050127
swoon	0.0496663
putt	0.0493549
upswing	0.049317
"earnings growth"	0.0490959
jaunt	0.0485326
curve	0.0483588
"bull market"	0.0475542
freefall	0.0474342
peak	0.0473913
improvement	0.046997
ordeal	0.0464543
transition	0.0463549
regimen	0.0463155
trajectory	0.0459283
adjustment	0.0456617
slowdown	0.0454896
transformation	0.0454266
odyssey	0.0454132
boom	0.0453089
rehab	0.0452381
"rate cut"	0.0451335
quest	0.0450822
resurgence	0.0445658
revision	0.0445465
rout	0.0443339
arc	0.0442094
marathon	0.0439843
turnabout	0.0436115
deflation	0.0435371
exodus	0.0434346
expansion	0.0434031
climber	0.0430629
progression	0.043007
workout	0.0428385
sprint	0.042699
pullout	0.0423807
cycle	0.0422994
"wage increase"	0.0422909
erosion	0.0421657
spacewalks	0.0420423
"growing season"	0.0419374
outing	0.0417247
"growth rate"	0.0417005
workday	0.0416525
"rate increase"	0.0414806
lap	0.041323
ladder	0.041096
eruption	0.0404398
cutback	0.0404282
inflation	0.0403871
"rapid growth"	0.0403014
devaluation	0.0401839
pullback	0.0401682
))
(climber (desc 20851.4) (sims
mountaineer	0.156315
skier	0.131703
"mountain climber"	0.12577
cyclist	0.116137
hiker	0.11437
sailor	0.107969
swimmer	0.098255
diver	0.0982306
crewmen	0.0952039
angler	0.0926843
rider	0.091914
skater	0.0911287
"crew member"	0.0904311
seamen	0.0882599
snowmobilers	0.0879491
balloonist	0.0878676
rescuer	0.0859523
Fishermen	0.0853248
skydiver	0.0851583
racer	0.0850788
adventurer	0.0834456
tourist	0.0827199
bikers	0.0814449
airmen	0.081012
astronaut	0.0810086
miner	0.0808851
golfer	0.0803888
firefighters	0.080015
parachutist	0.0799752
servicemen	0.0795246
crewmembers	0.0794757
snowboarders	0.0792982
journalist	0.0785603
gymnast	0.0783285
surfer	0.0782899
boater	0.0782315
athlete	0.0780746
lifter	0.0765413
pilot	0.0760197
villager	0.0759941
Explorer	0.0757173
"rock climber"	0.0749697
bicyclist	0.0748023
rower	0.0744449
paddler	0.0744406
filmmakers	0.073356
camper	0.0721493
"chess player"	0.0719552
shuttlers	0.0713845
Nepalese	0.0712851
astronomer	0.0711885
kayakers	0.0709546
sprinter	0.0707323
runner	0.0705225
QBs	0.0704676
Mallory	0.0701035
Briton	0.0699933
weightlifter	0.0694285
traveler	0.0693979
expedition	0.0692199
soldier	0.0686755
fisherman	0.0682925
foreigner	0.0667875
passenger	0.0667522
photographer	0.066714
pianist	0.0666732
musician	0.0665934
backpackers	0.0665685
firemen	0.0662883
boxer	0.0662453
archaeologist	0.0661244
naturalist	0.0658548
Iranian	0.065714
businessmen	0.0656989
diplomat	0.0656643
dancer	0.0654829
crewman	0.0653659
scientist	0.0650529
visitor	0.0647105
policemen	0.0644459
Kenyan	0.0644354
fencer	0.064314
"volleyball player"	0.0641991
calligrapher	0.0641406
Spaniard	0.063968
canoeist	0.0638155
statesmen	0.0635385
westerner	0.0635243
holidaymaker	0.0635081
"base runner"	0.0634206
yachtsman	0.0631192
motorcyclists	0.0630767
aviator	0.0629072
Amateur	0.0626888
"fashion designer"	0.062687
Olympian	0.0625112
geologist	0.0623379
footballer	0.0621504
"hockey player"	0.0620582
warship	0.0620189
violinist	0.0616514
driver	0.0616478
motorist	0.0614635
wrestler	0.0612946
entrepreneur	0.0612684
"medical specialist"	0.0612259
mushers	0.0610742
"major leaguer"	0.0610506
"tennis player"	0.0609207
composer	0.0608492
commando	0.0606185
marathoner	0.0605415
sculptor	0.0604693
youngster	0.0602518
Hunter	0.0602463
"naval officer"	0.0601702
sherpas	0.0600818
physicist	0.0599887
migrant	0.0599552
crew	0.0598586
artist	0.0597356
performer	0.0596922
baserunners	0.0596392
stowaway	0.0596193
"army officer"	0.059594
pedestrian	0.0595687
survivor	0.0595207
Lebanese	0.0592605
archeologist	0.0589868
woodworker	0.0589389
"major-league team"	0.0588793
Haitian	0.0588255
"New Zealander"	0.0586667
gardener	0.0585899
"military officer"	0.0582197
birder	0.05807
Pakistani	0.0580455
"military personnel"	0.0580118
cager	0.0579342
immigrant	0.0577248
"family member"	0.0577079
sightseer	0.0575453
fighter	0.0574045
dramatist	0.0573311
designer	0.0572563
teen-ager	0.0571047
"business leader"	0.0570592
Singaporean	0.0567527
winemaker	0.0566499
actor	0.0566121
chef	0.0563358
writer	0.0562636
firefighter	0.0562563
volunteer	0.0562204
mathematician	0.0562192
upperclassmen	0.0562044
educator	0.0561866
snowboarder	0.05616
politician	0.0560919
searcher	0.0559663
"young man"	0.0558601
cartoonist	0.0556238
doctor	0.0555887
"baseball player"	0.0555341
comrade	0.0554932
teenager	0.0554452
triathletes	0.0553176
bystander	0.0552653
soliders	0.0551422
Industrialist	0.0550829
businesspeople	0.0550142
"young girl"	0.0549877
"football player"	0.0549792
pilgrim	0.0549217
attacker	0.0548507
Cuban	0.0547786
Malaysian	0.054732
returnees	0.0547091
missionary	0.0546961
entertainer	0.0546328
filmmaker	0.0545823
"loved one"	0.0545452
contestant	0.054419
linguist	0.0544055
Filipino	0.0540194
observer	0.0539859
craftsmen	0.0538085
"foster child"	0.0537705
spectator	0.0537699
professional	0.0536488
Italian	0.0536052
monk	0.0535428
"college student"	0.0534955
"air force officer"	0.0533781
hacker	0.0533563
marine	0.0532584
girl	0.0531374
serviceman	0.0530874
assailant	0.0530676
enthusiast	0.0529943
))
(clime (desc 4143.76) (sims
"air mass"	0.0988404
winters	0.0773635
locale	0.0703449
afternoons	0.0650474
evenings	0.060114
"vacation spot"	0.058555
mornings	0.0567921
"northern hemisphere"	0.0562167
flatlands	0.0525626
"ocean current"	0.0480692
"spring water"	0.047653
"air current"	0.0458199
mountaintops	0.0453683
Kyushu	0.0433609
moonscape	0.0425815
Springs	0.0423302
"bricks and mortar"	0.0422925
ambiance	0.0411019
surroundings	0.0411017
meccas	0.0410326
felicitation	0.0407351
metropolises	0.0400393
getaway	0.0400205
))
(clinch (desc 2176.6) (sims
one-point	0.0802099
two-point	0.0606212
chokehold	0.0576914
"mental institution"	0.0569493
entanglement	0.0536209
"warm front"	0.0527107
Tarango	0.0526634
tryst	0.0513684
cellblock	0.0499114
sobriquet	0.0498297
Grbac	0.0482094
"army engineer"	0.0469727
tropics	0.0468013
"hole in the ground"	0.0467393
"deposit box"	0.0465992
five-point	0.0464042
"extra inning"	0.0462801
"air mass"	0.0459157
deuce	0.0454671
fistfight	0.0454541
"internment camp"	0.044767
tie-break	0.0445393
Longo	0.0443698
Strauss-Kahn	0.043878
"jigsaw puzzle"	0.0437017
four-point	0.0434631
nonconference	0.0434246
"first overtime"	0.0433547
dalliance	0.0432184
bedfellow	0.0425458
powwow	0.0425338
smooch	0.0423136
three-point	0.0421641
Peugeot	0.0419376
"Ford Escort"	0.0418826
"Van Raaphorst"	0.0417477
"Canadian Football League"	0.0414242
"knockout punch"	0.0413337
"poker game"	0.0412408
Zuelle	0.0410193
"second tour"	0.0409757
"first eight"	0.0409552
"piece of music"	0.0407437
"Georgia Republican"	0.0406256
"Alamo Bowl"	0.0406149
redhead	0.0405641
"Italian League"	0.040339
"NBA All-Star"	0.0403378
"Social Democrat"	0.0401326
Medvedev	0.0400154
))
(clincher (desc 5415.96) (sims
finale	0.095043
"playoff game"	0.0925073
opener	0.0903405
decider	0.0886982
equaliser	0.0871078
game-winner	0.0864399
"home game"	0.0830987
shootaround	0.0830678
wipeout	0.0830411
"Division Series"	0.0828772
"Game @"	0.0827682
"night game"	0.0812541
doubleheader	0.0799937
two-hitter	0.0783409
"first basket"	0.0768994
equalizer	0.0744932
"last @@ points"	0.0731434
shocker	0.072374
game.	0.07216
"exhibition game"	0.0709673
"Game @."	0.0692926
no-decision	0.0692553
shutout	0.0691712
"Kentucky Oaks"	0.0673449
rainout	0.0666526
"day game"	0.0656688
blowout	0.0656679
matchups	0.0648935
"road game"	0.0644685
matchup	0.0640204
NLCS	0.0636855
"knockout punch"	0.0633229
nightcap	0.0619732
showdown	0.0618743
TKO	0.0612367
ballgame	0.0601929
rematch	0.0598652
slugfest	0.0595878
"two baskets"	0.0589629
tiebreaker	0.0577101
"American League Division Series"	0.0573803
one-hitter	0.057085
tipoff	0.0569345
games.	0.0568882
"sugar bowl"	0.0568626
"Pepsi @@@"	0.0566096
heartbreaker	0.0564519
"second unit"	0.0539045
season-opener	0.0534417
"cup tie"	0.0530735
scrimmage	0.0522491
"first point"	0.052023
debacle	0.05179
weigh-in	0.0510241
jinx	0.0504367
first-rounder	0.0503984
"Kickoff Classic"	0.0502111
at-bat	0.0501961
"practice session"	0.0499783
"Subway Series"	0.0492126
"All-Star Game"	0.0491015
"won-lost record"	0.0472622
"winning streak"	0.0472449
shootout	0.0472154
"NFC Championship Game"	0.0471735
post-season	0.0471605
brawl	0.0471026
"technical knockout"	0.0470992
melee	0.0470924
"Brickyard @@@"	0.0465122
"basketball game"	0.0462344
team.	0.0459955
no-hitter	0.0459944
"big game"	0.0454296
"baseball game"	0.0451726
MVP	0.0450372
pro-am	0.0449781
"Fiesta Bowl"	0.0449191
ballgames	0.0448036
innings.	0.0445224
twosome	0.0441546
heroics	0.0439775
"round robin"	0.0438109
"unearned run"	0.043658
"starting pitcher"	0.0435053
"perfect game"	0.0434612
"College World Series"	0.0433
"Solheim Cup"	0.0431608
"National Invitation Tournament"	0.043005
scoring	0.0429288
stunner	0.042876
"NBA Finals"	0.0426696
"American League Championship Series"	0.0421752
nit	0.0417996
matches	0.041795
Super-G	0.0416461
drubbing	0.041561
first-round	0.0415598
"first appearance"	0.0415553
frontline	0.0415442
freebie	0.0413264
"grand slam"	0.0411415
"Andy Pettitte"	0.0410935
"away game"	0.0409608
"turning point"	0.0405046
match-up	0.0403587
futility	0.0403387
semi	0.0402879
"hockey game"	0.0402608
whipping	0.040192
ejection	0.0401799
"Preakness Stakes"	0.0400372
))
(Cline (desc 993.585) (sims
Tilberis	0.16133
Menchu	0.146091
McFadden	0.14605
Lundberg	0.145567
Briscoe	0.144702
Merritt	0.141177
Rivlin	0.140982
Farber	0.140749
Hecht	0.138599
Lowry	0.136979
Greenwald	0.135701
Sheehy	0.132521
Nilsson	0.131173
Keenan	0.130454
Tuttle	0.129015
Kirkpatrick	0.126772
Farrell	0.126626
Swenson	0.126381
Patten	0.126304
Meissner	0.126195
Hanley	0.125752
Waxman	0.125626
Ono	0.125539
Puzo	0.125181
Grunwald	0.124746
Ivey	0.124367
Knapp	0.124151
Flanagan	0.123997
Halberstam	0.123463
Weil	0.123053
Rosenthal	0.122846
Hagen	0.122719
Silverstein	0.120563
Henning	0.120337
Neff	0.120139
Pierson	0.119925
Ochoa	0.11954
McDonnell	0.118936
Cleary	0.118441
O'Hara	0.118232
Feldman	0.117373
Weiner	0.117299
Northup	0.117276
Haines	0.117157
Marchand	0.116864
Brazile	0.116415
Hahn	0.115839
Vogel	0.115723
Duffy	0.1151
Hartley	0.114882
Fiorina	0.114707
Gutman	0.114588
Arron	0.114289
Dunham	0.114094
Suarez	0.112764
Jeffers	0.112532
Greco	0.112122
Kelleher	0.111773
Mortimer	0.111336
Garvey	0.111261
Woodard	0.111075
Yoakam	0.110956
Goldin	0.110687
Schuerholz	0.110451
Lowery	0.110346
"La Russa"	0.110156
Garber	0.109514
Boyle	0.109405
Forrest	0.109372
Rubinstein	0.109041
Kern	0.108603
Pape	0.108435
Postol	0.108089
Arbour	0.107753
Upshaw	0.10758
Shapiro	0.107117
Rowley	0.107032
Orton	0.107026
Webdale	0.106855
Schwartz	0.106795
Sheedy	0.106365
Hardy	0.106232
Edelstein	0.106164
Sorensen	0.105572
Ackerman	0.105154
Byrne	0.105128
Mucha	0.104688
Baum	0.104421
Paxon	0.104172
Shriver	0.104137
Huffington	0.104131
Allard	0.103712
Molinari	0.103385
Moscoso	0.103341
Snowe	0.103119
Mahoney	0.103079
Rowe	0.102778
Roberson	0.102675
Whyte	0.102532
Schafer	0.102012
Koskinen	0.10196
Mott	0.101819
Berenson	0.101554
Dench	0.101542
Kagalovsky	0.101243
Dixon	0.101184
Peters	0.100306
Hartman	0.100145
Zuckerman	0.100106
Marinovich	0.100078
Fay	0.0999088
Sheehan	0.0996368
Morse	0.0995023
Slatkin	0.0993863
Manuel	0.0991872
Heche	0.0991028
Dyson	0.0986807
Dowd	0.0985251
krueger	0.0985033
Guerin	0.0984253
Nasrin	0.0983298
Babcock	0.0981571
Jensen	0.098002
Janssen	0.0978674
Hess	0.0975634
Bragg	0.0975464
Newhouse	0.0975212
Rossi	0.0974773
DeFrantz	0.0973792
Donnelly	0.097372
Ashrawi	0.0973674
Hirst	0.0972997
Devine	0.0970994
Neilson	0.0970379
Bushnell	0.0969903
Reinhardt	0.0968806
McIntyre	0.0966443
Bartoli	0.0964101
HELLER	0.0963908
Lange	0.0962867
Kirby	0.0962413
McCartney	0.0961924
Rendell	0.0960528
Condit	0.0959466
Schiffer	0.0959466
Hamlin	0.0957986
McKenzie	0.0957642
Edson	0.0954666
Puente	0.0953828
Lipstadt	0.0953159
Rosen	0.095162
Cooley	0.0951452
Brenner	0.0950798
Hadley	0.0950197
Winn	0.0949319
Loeb	0.0948371
Couric	0.0947196
Tharp	0.0946734
Kingsley	0.0946716
McConnell	0.0946702
Advani	0.0937285
Baer	0.0936152
Midler	0.093603
Deneuve	0.0934948
Betts	0.093416
Kurth	0.0933849
Krall	0.0933757
Mckee	0.0932728
Pollack	0.0932032
Beckwith	0.0930758
Rowling	0.0928713
Healy	0.0927895
Madden	0.0925886
GAGE	0.0925672
COYNE	0.0924067
Stahl	0.0922262
Wiggins	0.0921853
Rothschild	0.0921229
Russo	0.0916198
Wan	0.0915698
Larson	0.0914841
Singson	0.0914715
Griffiths	0.0913458
Marquez	0.0909173
Goldstein	0.0908637
Zambrano	0.0908091
Dion	0.0908068
Wolfson	0.0906918
Mokhehle	0.090575
Yoon	0.0902248
Brennan	0.0902156
Atkinson	0.0900324
Bessette	0.0899766
Muller	0.0899727
Blum	0.0898876
Hatfield	0.0898311
Waugh	0.0896983
Stephenson	0.0896125
Hanson	0.089576
Pryor	0.0895199
))
(cling (desc 1801.88) (sims
yielding	0.0440314
faithfulness	0.0437931
"Number @"	0.0401626
))
(clingy (desc 1216.94) (sims
slinky	0.245088
"navy blue"	0.180527
mohair	0.168714
cashmere	0.163066
halter	0.157275
rayon	0.155479
taffeta	0.146567
gingham	0.146565
organza	0.136899
tweed	0.129061
"dark blue"	0.129038
brocade	0.125589
polyester	0.122404
Armani	0.122286
COUTURE	0.121984
"Dolce &AMP; Gabbana"	0.12147
chenille	0.120662
tulle	0.117149
"powder blue"	0.115852
"royal blue"	0.114433
"polka dot"	0.114189
silk	0.113156
fleece	0.112506
Lycra	0.112454
denim	0.109538
plaid	0.108595
preppy	0.10767
wool	0.104518
Chloe	0.0969995
"Calvin Klein"	0.0945205
suede	0.0942893
tunic	0.0935604
flannel	0.0917965
Dior	0.0906343
crepe	0.0904907
linen	0.089945
drawstring	0.0876815
spandex	0.0871617
"Christian Dior"	0.0844377
fishnet	0.0842649
fuchsia	0.0836196
nylon	0.0833529
velvet	0.082877
"high fashion"	0.0826391
DKNY	0.082272
"Ralph Lauren"	0.0789029
turquoise	0.0769856
"Donna Karan"	0.0755462
Versace	0.0754109
tartan	0.0727725
bridesmaid	0.0710832
Chino	0.070282
acrylic	0.0699053
sheath	0.0696998
snakeskin	0.0690181
camisole	0.0678677
wraparound	0.066096
"olive green"	0.0649849
taupe	0.0643365
sequin	0.0628445
"Jil Sander"	0.062812
Burgundy	0.062791
flapper	0.0619809
pajama	0.0600641
Hula	0.0600578
Formica	0.059458
"haute couture"	0.0584254
"space age"	0.0583592
hologram	0.058289
hyper	0.0578237
"dark red"	0.0576324
pashmina	0.0569776
Valentino	0.0568522
Sari	0.056796
gauze	0.0567257
"ball gown"	0.0560859
"second hand"	0.0558671
"femme fatale"	0.0553536
kimono	0.0550504
potty	0.0543718
mink	0.0542884
ivory	0.053735
"Michael Kors"	0.0535875
"Helmut Lang"	0.0532534
poodle	0.0526791
worn	0.0512437
adidas	0.0508926
mermaid	0.0507349
maternity	0.050536
handkerchief	0.0504312
"deep red"	0.0502065
Fendi	0.0499427
outta	0.0488189
periwinkle	0.0485527
"song and dance"	0.0479529
sarong	0.0479435
Teflon	0.0477511
"wedding party"	0.0477026
slipcover	0.0476148
hippie	0.0473239
garnet	0.0469558
spiffy	0.0469118
scuba	0.0469047
ragtag	0.0468239
doer	0.0464024
Grinch	0.0463499
glam	0.0463191
flamenco	0.0459098
crunchy	0.0453294
doggy	0.0452854
"Saint Laurent"	0.0451875
cellophane	0.0451571
velcro	0.0451243
"big leaguer"	0.0447344
rascal	0.0446822
handicapper	0.0446134
slob	0.044426
Fubu	0.0443342
newspaperman	0.0442873
bloomer	0.0439592
ninja	0.0435941
"Yves Saint Laurent"	0.0431083
aqua	0.0428404
latex	0.0421254
six-inch	0.0419786
"Mickey mouse"	0.0416934
Superman	0.0416717
contrarian	0.0411996
"cobalt blue"	0.041062
Daryl	0.0409449
antsy	0.040654
dilettante	0.0405955
"Wild Man"	0.040317
paisley	0.0402155
docker	0.0401284
AWOL	0.0400413
))
(clinic (desc 78620.4) (sims
hospital	0.235367
"medical center"	0.162998
"emergency room"	0.153975
center	0.151883
facility	0.145058
"nursing home"	0.142908
school	0.133566
shelter	0.133141
laboratory	0.132983
"abortion clinic"	0.132358
office	0.13036
hotel	0.124851
library	0.123608
"military hospital"	0.12281
lab	0.122041
shop	0.117481
"psychiatric hospital"	0.116099
restaurant	0.115893
Pharmacy	0.113514
store	0.111564
factory	0.111145
station	0.110959
hospice	0.110789
"day care center"	0.107785
"police station"	0.107783
"post office"	0.107071
prison	0.106225
museum	0.105679
Warehouse	0.104973
"community center"	0.103868
institute	0.103467
park	0.103376
home	0.103018
doctor	0.101209
church	0.101126
building	0.100519
airport	0.0998375
camp	0.0995864
orphanage	0.0992106
"research center"	0.0989568
apartment	0.0987534
bookstore	0.0975077
theater	0.0967298
gym	0.0964777
zoo	0.0960379
agency	0.0959544
ward	0.0953605
headquarter	0.0952433
university	0.0951713
supermarket	0.0950132
program	0.0947824
embassy	0.0937444
care	0.093531
unit	0.0933336
"operating room"	0.0928962
"grocery store"	0.0928793
institution	0.0928465
"polling station"	0.0927126
"Mayo Clinic"	0.0925729
synagogue	0.0925559
"public school"	0.0923838
"primary school"	0.0921793
residence	0.0917361
workshop	0.0907396
classroom	0.0906526
"office building"	0.0906045
centre	0.0905115
"shopping center"	0.0904189
department	0.08982
studio	0.089633
"elementary school"	0.0893606
dormitory	0.0888694
jail	0.0886831
College	0.0880989
house	0.0879704
"gas station"	0.0875189
plant	0.0875091
"shopping mall"	0.0874194
"health service"	0.0872698
mall	0.087004
"high school"	0.086319
courthouse	0.0860387
"mental hospital"	0.0851872
hostel	0.0851521
complex	0.0846905
motel	0.0840173
"movie theater"	0.0840028
site	0.0835661
cemetery	0.0835615
"private school"	0.0833809
service	0.0832449
physician	0.0828024
"apartment building"	0.0826887
nursery	0.0825953
"field hospital"	0.0823727
mosque	0.0823597
farm	0.0821364
"soup kitchen"	0.0819331
"radio station"	0.0818646
"summer camp"	0.0817242
Casino	0.0813936
"department store"	0.0807593
"middle school"	0.0807521
consulate	0.0804517
academy	0.0803578
club	0.0799091
patient	0.0798946
HMO	0.0795871
drugstore	0.0794342
campus	0.0792139
"day care"	0.079039
Housing	0.0789957
morgue	0.0789067
"travel agency"	0.0788572
firm	0.0786039
depot	0.0784969
organization	0.0780592
garage	0.0775614
treatment	0.0772198
resort	0.07719
"medical school"	0.0768969
stadium	0.0767611
hall	0.0765785
"fire station"	0.0765216
"art gallery"	0.0763116
"U.S. Embassy"	0.076277
bakery	0.0762736
"blood bank"	0.0762116
company	0.0758984
cafe	0.0757755
"power plant"	0.0756609
"Massachusetts General Hospital"	0.0755701
nightclub	0.0754221
"school district"	0.0753199
branch	0.0752957
salon	0.0752646
"training program"	0.0752639
gallery	0.0751877
"television station"	0.07508
"vocational school"	0.0750392
room	0.0742831
counseling	0.0742072
"educational institution"	0.0741863
cafeteria	0.0738411
project	0.0737768
"hot line"	0.0735708
specialist	0.0734188
"health care"	0.0732183
pub	0.0730701
charity	0.0730264
terminal	0.072921
"foster home"	0.0722828
bar	0.0720808
mansion	0.0718416
barrack	0.0715651
village	0.0715437
parlor	0.0715402
location	0.0715362
"power station"	0.0710022
"medical institution"	0.0709297
"convenience store"	0.0709275
aquarium	0.0709156
"funeral home"	0.0708898
"amusement park"	0.0708519
outlet	0.0707076
nurse	0.0702185
medicine	0.0702013
"training school"	0.0701865
preschool	0.0701813
winery	0.0700922
refinery	0.0699614
"polling place"	0.0697232
temple	0.0695361
"hotel room"	0.069525
palace	0.0694034
boutique	0.0693845
therapy	0.0693677
"coffee shop"	0.06927
"boarding school"	0.0691647
"health care provider"	0.0691425
system	0.0690758
kiosk	0.0690709
bank	0.0690235
lodge	0.0690016
"liquor store"	0.0689162
"insurance company"	0.0687443
court	0.0687401
checkpoint	0.0686982
"police department"	0.0684248
district	0.0683431
"health maintenance organization"	0.0682048
mill	0.0681947
"employment agency"	0.067966
area	0.0677053
chapel	0.0675947
kindergarten	0.0673384
sanctuary	0.0672575
network	0.0672507
inn	0.0672163
surgeon	0.067159
))
("clinical psychologist" (desc 3849.14) (sims
dietitian	0.156926
psychologist	0.15549
psychoanalyst	0.142876
urologist	0.131365
internist	0.124132
psychotherapist	0.123801
pediatrician	0.116747
psychiatrist	0.114987
neurologist	0.1095
cardiologist	0.109129
"physical therapist"	0.108447
"associate professor"	0.100658
nutritionist	0.0995011
neurosurgeon	0.0977007
physiologist	0.0966174
toxicologist	0.0919658
folklorist	0.0917161
"social worker"	0.0889818
"management consultant"	0.0877003
sociologist	0.0875633
oncologist	0.0863184
microbiologist	0.086222
neurology	0.0846331
endocrinologist	0.0837443
immunologist	0.0835689
anesthesiologist	0.0828339
preservationist	0.0828152
surgeon	0.0823559
criminologist	0.0815981
lecturer	0.0813882
therapist	0.079784
epidemiologist	0.0793711
"art historian"	0.0793128
"assistant professor"	0.0784119
musicologist	0.0779192
pathologist	0.0778888
acupuncturist	0.077176
"registered nurse"	0.0758732
M.D	0.0740455
botanist	0.0730981
"electrical engineer"	0.0729721
geographer	0.0728062
counselor	0.0721278
obstetrician	0.0719167
"security consultant"	0.0718362
anthropologist	0.0717802
educator	0.070037
neuroscientist	0.0693652
demographer	0.0692202
"Larry Sabato"	0.0688545
"aerospace engineer"	0.0686609
dermatologist	0.0684663
clinician	0.0679936
geophysicist	0.0677599
chiropractor	0.0675658
pharmacist	0.0669455
ophthalmologist	0.0668608
veterinarian	0.0664345
"police lieutenant"	0.0663819
bioethicist	0.0659184
"English professor"	0.0658219
"political scientist"	0.065721
theologian	0.065494
"plastic surgeon"	0.0647945
"school of medicine"	0.0647576
"film producer"	0.0644112
"real estate agent"	0.0643737
psychiatry	0.0642223
Gastroenterologist	0.0640561
gynecologist	0.0628208
"certified public accountant"	0.0622447
coauthor	0.0621783
"police sergeant"	0.0613283
radiologist	0.060399
"Dan Schnur"	0.0600297
"Richard Smith"	0.059353
"interior designer"	0.0592972
optometrist	0.0591154
biochemist	0.0589227
illustrator	0.0586493
"private investigator"	0.0578904
paleontologist	0.0571453
"heart surgeon"	0.0569636
"public speaker"	0.0566665
statistician	0.0564464
biologist	0.0561105
"computer scientist"	0.0552243
"talent agent"	0.0549661
endocrinology	0.0549138
"school teacher"	0.0544211
speechwriter	0.0541565
naturalist	0.0540885
"newspaper editor"	0.0540195
firefighter	0.05393
ornithologist	0.0538707
ecologist	0.0534275
physicist	0.0534099
"internal medicine"	0.0531734
Allergist	0.0528559
curator	0.0527553
"music critic"	0.0525663
ethicists	0.0525382
"literary agent"	0.0525231
"disk jockey"	0.0522348
Realtor	0.0521987
"general practitioner"	0.0520395
"English teacher"	0.051882
"social scientist"	0.0518746
Immunology	0.051859
"real estate broker"	0.0517276
ophthalmology	0.0512892
agronomist	0.0509057
chemist	0.0508823
restaurateur	0.0506168
linguist	0.0505035
gynecology	0.0504197
newspaperman	0.0503995
translator	0.050132
"public defender"	0.0498353
theorist	0.0491507
"divorce lawyer"	0.0489381
oncology	0.048818
essayist	0.0487239
ethicist	0.0487149
Profiler	0.0485857
"medical officer"	0.0484785
"David Irving"	0.0483473
counsellor	0.0480725
dentist	0.0478153
actuary	0.0478125
geologist	0.0477573
"science teacher"	0.0475431
academician	0.0473499
oceanographer	0.0472201
accountant	0.0470387
"intelligence officer"	0.0469422
Futurist	0.046895
librarian	0.0468929
mathematician	0.0468925
plumber	0.0468113
"University Hospital"	0.0468101
"funeral director"	0.0467656
"interior decorator"	0.0465934
paraplegic	0.0464896
technologist	0.0464848
"medical examiner"	0.0464633
hairstylist	0.045641
"trial attorney"	0.0456403
copywriter	0.0456227
sociology	0.0455592
"American Psychological Association"	0.0455348
screenwriter	0.0453266
"Simon Wiesenthal Center"	0.0453102
"mechanical engineer"	0.0452428
"Council on Foreign Relations"	0.0451752
"school principal"	0.0451162
"Michael Murphy"	0.0447977
Postmaster	0.0447789
"director of research"	0.0445836
Pediatrics	0.043931
"Xie Zhenhua"	0.0437285
zoologist	0.0437247
archaeologist	0.0437084
"Beth Israel Deaconess Medical Center"	0.043548
"air force officer"	0.0434874
"visiting professor"	0.0431572
"account executive"	0.043152
"landscape architect"	0.0430042
archeologist	0.0429678
"Esther Dyson"	0.0428593
"police detective"	0.0427711
chaplain	0.0427582
"government officials"	0.0427003
entomologist	0.0426701
"sea captain"	0.0426247
"law student"	0.0425237
"police captain"	0.0425221
dilettante	0.042451
"art director"	0.0424247
"Navy Seal"	0.0423924
"Public Health"	0.0423362
housewife	0.0420869
"media consultant"	0.0420497
newswoman	0.0420156
co-editor	0.0420019
Spago	0.0419302
theoretician	0.0415439
clergyman	0.041397
"Ralph Reed"	0.0412559
"television reporter"	0.0412509
neuroscience	0.0412427
cabdriver	0.0410574
"University of Southern California"	0.040838
pacifist	0.0407768
Ruehe	0.0406781
violinist	0.0406752
electrician	0.0406729
"U.S. District Court"	0.0406472
CPA	0.0405454
"Frank Luntz"	0.0403902
))
(clinician (desc 2701.9) (sims
ethicists	0.175259
"health professional"	0.119639
technologist	0.118589
genealogist	0.104116
educator	0.100821
physician	0.0942234
nutritionist	0.092089
"job candidate"	0.0913043
pediatrician	0.0904989
chiropractor	0.0899663
toxicologist	0.0897004
immunologist	0.0894231
veterinarian	0.088026
archeologist	0.0867719
dietitian	0.0859378
"AIDS activist"	0.0853021
psychologist	0.0849902
conservationist	0.0845256
botanist	0.0834374
surgeon	0.0821419
scriptwriter	0.0813787
therapist	0.0809582
"social worker"	0.0799019
policy-makers	0.0794539
"policy maker"	0.0793804
anesthesiologist	0.0783079
technician	0.0775042
linguist	0.0761273
whistle-blowers	0.0751691
"physical therapist"	0.0747292
historian	0.0745783
"social scientist"	0.0742128
practitioner	0.0735217
"pass catcher"	0.0725369
psychiatrist	0.0720628
biologist	0.0720333
manicurist	0.0717956
academician	0.0716632
epidemiologist	0.0715288
"medical practitioner"	0.0704738
"computer expert"	0.0698576
orthodontist	0.0695205
"health care provider"	0.0694915
decision-makers	0.0692002
pharmacist	0.0690927
skydiver	0.0684453
librarian	0.068429
"medical student"	0.0682229
mathematician	0.0681472
naturalist	0.0680445
"aerospace engineer"	0.0680177
"clinical psychologist"	0.0679936
"general practitioner"	0.0677755
oceanographer	0.0675721
geologist	0.0674304
"government officials"	0.0674136
Chinese-Indonesians	0.0673719
caregiver	0.0670107
"medical specialist"	0.0668277
moviemakers	0.0666753
astronomer	0.0664485
businesspeople	0.0662924
statistician	0.0658193
urologist	0.0651861
shipowner	0.0650655
counselor	0.0647514
cardiologist	0.0644409
geneticist	0.0643737
"decision maker"	0.0643237
"staff member"	0.0642586
"medical community"	0.0636227
"department head"	0.0634102
policymakers	0.0633801
anthropologist	0.0631853
lobstermen	0.0627006
demographer	0.0624708
"registered nurse"	0.0622209
theologian	0.062159
ecologist	0.0619071
radiologist	0.0618389
archaeologist	0.0616147
obstetrician	0.0614617
paleontologist	0.0611902
dermatologist	0.0608657
"funeral director"	0.0607272
"corporate executive"	0.0604475
restaurateur	0.0603364
marketers	0.0603216
"medical institution"	0.059994
thinker	0.0599115
neurologist	0.0598639
closers	0.0597871
hemophiliac	0.0595996
lexicographer	0.058995
"computer programmer"	0.0589944
Programmer	0.0584629
zoologist	0.0582871
criminologists	0.0581186
angler	0.0579628
adventurer	0.0573409
hobbyist	0.0572695
healer	0.0571544
dentist	0.0567462
theorist	0.0565554
"blood bank"	0.0564171
"mechanical engineer"	0.0559549
McKay	0.0559125
sommelier	0.0557758
seismologist	0.0557652
sociologist	0.0556259
mainlanders	0.055506
woodworker	0.0552538
Industrialist	0.0550575
drugmakers	0.0548723
internist	0.0546569
"landscape architect"	0.0544891
"work group"	0.0544782
psychoanalyst	0.0544156
"staff officer"	0.0543267
stargazer	0.05431
agronomist	0.0540422
"development organization"	0.0540301
philosopher	0.0539156
animators	0.0532469
"business executive"	0.0532388
evaluator	0.0531964
midwife	0.0526771
ornithologist	0.052577
oncologist	0.0523805
"skilled worker"	0.0522098
"real estate agent"	0.0521834
"federal official"	0.0521125
enterpreneurs	0.0517863
QBs	0.0515197
birder	0.0513962
pathologist	0.0513215
classicist	0.0512606
experimenter	0.0512391
"public servant"	0.0511803
inventor	0.0509549
"mountain climber"	0.0504612
"union worker"	0.0504229
"civic leader"	0.0504053
looker	0.0503511
coauthor	0.0503252
"UN agency"	0.0503209
winemaker	0.0502595
trainee	0.0500985
"corporate investor"	0.0495742
Futurist	0.0495285
physicist	0.049504
"civil engineer"	0.0494172
stagehand	0.0493919
"medical profession"	0.0493362
sufferer	0.049259
"trial attorney"	0.0492119
drillers	0.0490648
"business organization"	0.048994
laymen	0.0489807
meatpackers	0.0488512
kayaker	0.0488497
archivist	0.0488458
herbalist	0.0487554
businesswomen	0.048718
"market watcher"	0.0485979
"computer scientist"	0.0484945
hairstylist	0.0484542
tracker	0.0483282
mountaineer	0.0482127
"job seeker"	0.0480738
evangelicals	0.048004
theoretician	0.0479729
attendant	0.0478098
left-winger	0.0477377
Weinberg	0.0476973
bioethicist	0.0476682
"social organization"	0.0476066
biochemist	0.0475338
imp	0.0475278
"church member"	0.0475137
"administrative official"	0.0472813
reviewer	0.0471274
Realtor	0.0471016
medic	0.0470733
"art historian"	0.0470544
"Internet Service Providers"	0.0469395
"big leaguer"	0.0467714
"film producer"	0.0467155
anarchist	0.0466623
meteorologist	0.046588
translator	0.0465478
insulator	0.046014
preservationists	0.0459815
"faculty member"	0.0459143
forester	0.0458709
cognoscenti	0.0458572
"senior citizen"	0.0458434
horseman	0.0458193
Caltrans	0.0458109
lecturer	0.0457915
))
(Clinique (desc 1452.33) (sims
Lancome	0.201674
L'Oreal	0.190882
"Estee Lauder"	0.16801
REVLON	0.0932789
Orangina	0.0882107
docker	0.0868201
Stroh	0.0790775
"Pottery Barn"	0.0772322
"Levi Strauss"	0.0749071
Levi's	0.0731058
Snapple	0.0730404
Haagen-Dazs	0.0677551
"cover girl"	0.067348
"Cadbury Schweppes"	0.0667518
"J. Crew"	0.066616
"Whole Foods"	0.0665599
Chanel	0.0659979
Chesterfield	0.0650439
"Christian Dior"	0.0643716
Avon	0.0636096
"Yves Saint Laurent"	0.0627236
Opel	0.0612918
Marlboro	0.0607979
"Giorgio Armani"	0.0607972
"L.L Bean"	0.0606649
"Ralph Lauren"	0.060553
"Staples Inc."	0.0600642
"skin care"	0.0590194
"Kraft Foods"	0.0578166
Cadbury	0.0566686
Pillsbury	0.0558606
Walgreen	0.0548454
"P&AMP;G"	0.0547549
Panasonic	0.0544772
"Liz Claiborne"	0.0542882
CompuServe	0.0536943
Walmart	0.0531739
carmakers	0.0531334
transformative	0.0527292
"Dom Perignon"	0.0520777
Woolworth	0.0518151
Crayola	0.0509581
WebTV	0.0507274
GoTo.com	0.0506652
esprit	0.0502419
Sprite	0.049039
"Bud Light"	0.0482668
blackface	0.0478753
"hush puppy"	0.0476952
Xena	0.0473442
"pet food"	0.0470296
"Holiday Inn"	0.0463088
"Met Life"	0.0462517
"J&AMP;J"	0.0458697
Pennzoil	0.0454188
Sheraton	0.0454129
ATX	0.0452883
Albertson's	0.0451537
"test equipment"	0.0451468
"R.J Reynolds"	0.0450408
"motor oil"	0.045022
Chinese-Indonesians	0.0446465
substituting	0.0443534
"Miller Lite"	0.0443123
confectionery	0.0443059
"Eddie Bauer"	0.0441368
Rolex	0.0440913
"Sephardic Jews"	0.0437108
RCA	0.0436436
purifier	0.0436221
"Chrysler Corp."	0.0433926
Hotmail	0.0429719
Westin	0.0423256
"money order"	0.0422746
"Toys R Us"	0.0421432
nudist	0.0420057
"Banana Republic"	0.0418298
"Philip Morris Cos."	0.041784
"software product"	0.0413421
Formica	0.0412133
"National Enquirer"	0.04071
"Japan Airlines"	0.0405918
Nabisco	0.0405509
"Weight Watchers"	0.0405148
CDnow	0.0404205
"marital status"	0.0403564
"water filter"	0.0403468
"Tommy Hilfiger"	0.0400455
))
(Clint (desc 1564.54) (sims
Dominic	0.108674
Wayne	0.072594
Roger	0.0718894
Zachary	0.070702
Jenoff	0.0706765
Alcott	0.0657803
"Dale Jr."	0.0650168
Ian	0.064256
Carla	0.0636601
Alec	0.0633869
Byron	0.0633795
Karenna	0.0629994
Keaton	0.0613194
LeRoy	0.0603851
Jimy	0.0597997
Jerry	0.0596462
Lorenzo	0.0586741
Clive	0.0584268
Michele	0.058225
Jamie	0.0581304
non-Hispanic	0.0574786
Tim	0.0572911
Ronald	0.0572267
Tracey	0.056849
Corey	0.0566353
Mel	0.0561987
Lollar	0.0557377
Counsell	0.0551945
Eduardo	0.0549463
kiddy	0.0548618
Theo	0.0548603
Sasha	0.0548094
jay	0.0544057
Evan	0.0531673
Stan	0.0525103
Grunow	0.0523852
Derek	0.0522013
Jonathan	0.0521783
Justin	0.052166
Ernest	0.0519662
Donnie	0.0517853
Manuel	0.0517696
Nicolas	0.0513454
Tandy	0.0513084
Keith	0.0511911
Eappens	0.051009
Dave	0.0509724
Kathleen	0.050947
Smyth	0.0508061
Jeb	0.0505957
timothy	0.0503405
Debbie	0.0501939
Archie	0.0498776
Gerald	0.0493326
Hadley	0.049215
Hal	0.0488717
Gerard	0.0487725
Jerome	0.048663
Brett	0.0483007
Blackthorne	0.0481863
Trevor	0.0481529
Jose	0.0480985
"Yankee Clipper"	0.0479636
"John Jr."	0.047938
Sehorn	0.047844
Rick	0.0477644
Kenneth	0.0475661
Phillip	0.0474562
"John Kim"	0.0469518
Huffington	0.0469362
Ted	0.0466614
Jeremiah	0.0464979
Isaiah	0.0464147
Wyatt	0.046349
Ronnie	0.0460234
Gores	0.046003
Marchment	0.0458874
Adrian	0.0456665
Ethan	0.0452892
Samuel	0.0451644
Claude	0.0451215
Abbie	0.045089
Philip	0.045047
Timmy	0.0449769
Sealy	0.044899
Cathy	0.044827
noone	0.0445401
Fernando	0.0444821
Raymond	0.0444505
Keegan	0.0442458
"Ronald de Boer"	0.0441171
"About one million"	0.0440183
Neil	0.0438932
Colin	0.0438545
Deane	0.0436396
Wilkerson	0.043501
Nedved	0.0434314
Wesley	0.0432821
Whittingham	0.0431894
Cody	0.0430853
Jeremy	0.0429549
Affleck	0.0427339
Marc	0.04265
"King Sihanouk"	0.0426473
Kimberly	0.042628
"Jimmy Stewart"	0.0426242
Samuelson	0.0426021
Byrdsong	0.0425053
Fernandes	0.0424373
Garth	0.0422902
Gatling	0.0422787
Delahunt	0.0418153
Flockhart	0.0417242
Carmichael	0.041597
Scottie	0.0415542
Braugher	0.0413338
Rudman	0.0412318
Robbie	0.0410273
non-American	0.0408325
Ramon	0.0407625
Marty	0.0407569
Alan	0.0407118
Sergio	0.0407047
Marvin	0.040671
Eubanks	0.040663
Heinrichs	0.0405389
Kathy	0.0404894
"Roy Rogers"	0.0404802
Hugh	0.0403862
Bateman	0.0403222
"Joe Dumars"	0.0403169
mailman	0.0401009
Jeffers	0.0400506
))
("Clint Black" (desc 1559.24) (sims
"George Strait"	0.320629
"Shania Twain"	0.282553
"Trisha Yearwood"	0.278655
"Vince Gill"	0.250069
"Dwight Yoakam"	0.242861
"Alan Jackson"	0.242537
"Jo Dee Messina"	0.226729
"Reba McEntire"	0.22554
"Faith Hill"	0.222879
"Tim McGraw"	0.214546
"Garth Brooks"	0.191035
"Melissa Etheridge"	0.174305
"LeAnn Rimes"	0.169978
"George Jones"	0.155604
"Merle Haggard"	0.155475
"Tammy Wynette"	0.129122
"Emmylou Harris"	0.125339
"Dolly Parton"	0.124405
"Martina McBride"	0.122107
"Kirk Franklin"	0.121914
"Lyle Lovett"	0.121844
"Waylon Jennings"	0.121099
"George Michael"	0.11755
"Billy Joel"	0.115397
Wynonna	0.11045
"Dixie Chicks"	0.108437
"Luciano Pavarotti"	0.100934
"Johnny Cash"	0.0940743
"Janet Jackson"	0.0933132
"Chrissie Hynde"	0.0921767
"Willie Nelson"	0.0912522
"Stevie Wonder"	0.0872638
"Patti Smith"	0.0863315
"Celine Dion"	0.0842752
"Lenny Kravitz"	0.0832208
"Linda Ronstadt"	0.0819272
"GLORIA ESTEFAN"	0.0809789
"Marc Anthony"	0.0788791
"Aretha Franklin"	0.0780994
"Bonnie Raitt"	0.0772095
"B.B King"	0.0771517
"Foxy Brown"	0.0765586
"Carly Simon"	0.0760968
"John Mellencamp"	0.0744125
"Enrique Iglesias"	0.0743893
"Loretta Lynn"	0.0720929
"Don Henley"	0.0697588
"Mary J. Blige"	0.0689964
Lang	0.0685684
"Whitney Houston"	0.0683087
"Jennifer Lopez"	0.0672906
"James Taylor"	0.0649273
"Lucinda Williams"	0.0644071
"Ruben Blades"	0.0643372
Babyface	0.062601
"Mariah Carey"	0.0625775
"Andrea Bocelli"	0.0624293
Naomi	0.0621222
"Elton John"	0.0620022
Twain	0.0616344
"R. Kelly"	0.0611174
Selena	0.0610533
McGraw	0.0588331
"Jon Bon Jovi"	0.058488
"Bobby Brown"	0.0576472
"Rob Thomas"	0.0570602
"Alanis Morissette"	0.0557138
"Steve Earle"	0.0555395
"Christina Aguilera"	0.055298
"Luther Vandross"	0.0550306
Billie	0.0532387
"Tom Waits"	0.0530386
"Tom Jones"	0.052979
"Macy Gray"	0.0522164
"Jessye Norman"	0.0517901
"Paul Simon"	0.0517037
Hawn	0.050956
"Placido Domingo"	0.0509271
"Eric Clapton"	0.0488081
"Michael Bolton"	0.0481655
Bono	0.0478299
"Lara Croft"	0.0475087
"Jerry Seinfeld"	0.0471843
bumpkin	0.0468082
"N Sync"	0.0464776
"Sarah McLachlan"	0.0456276
"Tony Bennett"	0.0451925
"Toni Braxton"	0.0448155
"Barbra Streisand"	0.0447144
"Peter Gabriel"	0.0445963
"meat loaf"	0.0443457
"Bob Marley"	0.043776
Rocha	0.043532
"David Byrne"	0.0433711
"Erykah Badu"	0.0426489
"Boston Pops"	0.0423204
"Audra McDonald"	0.0409533
Liam	0.040591
))
("Clint Eastwood" (desc 6308.19) (sims
"Martin Scorsese"	0.15344
"Robert Redford"	0.152908
"Sylvester Stallone"	0.139664
"Jonathan Demme"	0.138634
"Wes Craven"	0.131926
"Harrison Ford"	0.131532
"Woody Allen"	0.130943
"Robert Altman"	0.129946
"Spike Lee"	0.1287
"Steven Soderbergh"	0.127088
"Warren Beatty"	0.124066
"Paul Newman"	0.122498
"Dustin Hoffman"	0.120894
"Michael Douglas"	0.119883
"Jack Lemmon"	0.119528
"Steve McQueen"	0.117861
Eastwood	0.114994
"Ron Howard"	0.114992
"Neil LaBute"	0.113377
"Kevin Costner"	0.113276
"Brad Pitt"	0.112948
"John Ford"	0.112604
"Jack Nicholson"	0.111632
"Terrence Malick"	0.110371
"Richard Gere"	0.108821
"Jim Carrey"	0.108392
"Leonardo DiCaprio"	0.107311
"Oliver Stone"	0.106511
"Tom Hanks"	0.106294
"Tom Cruise"	0.106112
"Julie Taymor"	0.104326
"AL PACINO"	0.103983
"Tim Robbins"	0.103754
"Richard Dreyfuss"	0.102251
"Shirley MacLaine"	0.101326
"Mel Gibson"	0.100202
"Ashley Judd"	0.100194
"Gregory Peck"	0.0997573
"Stanley Kubrick"	0.099627
"Bruce Willis"	0.0990197
"Sally Field"	0.0986263
"Ingmar Bergman"	0.098283
"David Lynch"	0.0972073
"Barbra Streisand"	0.097204
"Humphrey Bogart"	0.0969986
"Diane Keaton"	0.0950909
"Keanu Reeves"	0.0948804
"Burt Reynolds"	0.0947656
"Steven Spielberg"	0.0945168
"Roberto Benigni"	0.0938333
"Rob Reiner"	0.0935384
"Tim Burton"	0.0934375
"Meryl Streep"	0.0933116
"Robin Williams"	0.0929482
"John Travolta"	0.0928238
"John Waters"	0.0923275
"Marlon Brando"	0.0920767
"Pedro Almodovar"	0.0918602
"Matt Damon"	0.0895308
"Julie Andrews"	0.0892842
"Samuel L. Jackson"	0.088888
"Henry Fonda"	0.0885184
"Robert DeNiro"	0.0876496
"Nora Ephron"	0.0873343
"Jane Fonda"	0.0872599
"Arnold Schwarzenegger"	0.0868237
"Pierce Brosnan"	0.0864435
"Frank Capra"	0.0854294
"Tom Selleck"	0.0853755
"John Wayne"	0.0849662
"Julia Roberts"	0.0849486
"Denzel Washington"	0.0844676
"Faye Dunaway"	0.0840103
"Michelle Pfeiffer"	0.0831206
"Jackie Chan"	0.0827977
"Sam Mendes"	0.0821794
"Sean Connery"	0.0821595
"Antonio Banderas"	0.0816847
"Sidney Poitier"	0.0816373
"Bob Hope"	0.0815127
"Chevy Chase"	0.081198
"Jessica Lange"	0.0810908
"Elizabeth Taylor"	0.0806458
"Jimmy Stewart"	0.0806419
"Kirk Douglas"	0.0805522
"Will Smith"	0.0796948
"Fred Astaire"	0.0794701
"Robert de Niro"	0.0791304
"Jon Voight"	0.0787614
"Jodie Foster"	0.0784295
"Spencer Tracy"	0.0775886
"James Stewart"	0.0773825
"Demi Moore"	0.0773399
"Gene Hackman"	0.0769169
"Errol Flynn"	0.0765542
"Kenneth Branagh"	0.0764064
"Gary Cooper"	0.075963
"Susan Sarandon"	0.0757749
"Cary Grant"	0.07554
"Francis Ford Coppola"	0.0753623
"George Clooney"	0.0750471
"George Lucas"	0.0746362
"James Cameron"	0.0745966
"Vanessa Redgrave"	0.0738825
Sayles	0.0738302
"Matthew Broderick"	0.0734545
"Katharine Hepburn"	0.0733788
"Adam Sandler"	0.0732256
"Sean Penn"	0.0730002
"Liam Neeson"	0.0729708
"Frank Sinatra"	0.0729322
"Steve Martin"	0.0727708
"Sandra Bullock"	0.072729
"Kevin Bacon"	0.0718856
"Alec Baldwin"	0.0716857
"Meg Ryan"	0.0712334
"Johnny Depp"	0.071194
"Albert Brooks"	0.0710206
"Anne Heche"	0.0709348
"Paul Schrader"	0.0707539
"Gwyneth Paltrow"	0.0704707
"Mike Nichols"	0.070396
"Bill Cosby"	0.0702373
"Bing Crosby"	0.069935
Costner	0.0698916
"Alfred Hitchcock"	0.0696522
"Christopher Reeve"	0.0694799
"David Mamet"	0.0694299
"Rob Lowe"	0.0692707
"Barry Levinson"	0.0689384
"Charlton Heston"	0.0685767
"Christian Slater"	0.068328
"Nicolas Cage"	0.0682649
"Whoopi Goldberg"	0.0675893
"JOHN TURTURRO"	0.0672063
"Kevin Spacey"	0.0670702
"Woody Harrelson"	0.0668574
"Tracey Ullman"	0.0667967
"Orson Welles"	0.0666721
Keaton	0.0664196
"Diana Ross"	0.0661592
"Glenn Close"	0.0659083
Welles	0.0651885
"Catherine Deneuve"	0.0651548
"Stanley Tucci"	0.0650309
"Jeff Bridges"	0.06452
"Bette Davis"	0.0643103
"Martin Sheen"	0.0641145
"Jimmy Smits"	0.0638971
"Elia Kazan"	0.063832
"Tommy Lee Jones"	0.0631207
"Drew Barrymore"	0.0622609
"Kevin Kline"	0.062259
"Eddie Murphy"	0.0621782
"Goldie Hawn"	0.062045
"Jennifer Lopez"	0.0619701
"Dennis Quaid"	0.0618736
"John Cusack"	0.0617714
"Lethal Weapon"	0.0616736
"Bette Midler"	0.0614997
"Burt Lancaster"	0.0614459
"Wesley Snipes"	0.0613361
"Clark Gable"	0.0609162
"Melanie Griffith"	0.060716
"Nicole Kidman"	0.0602831
"John Malkovich"	0.0598998
"John Lithgow"	0.0597802
Spielberg	0.059694
"Annette Bening"	0.0595667
"Sharon Stone"	0.0594123
Bogart	0.0590452
"Quentin Tarantino"	0.0589432
"Akira Kurosawa"	0.0587225
"Sarah Jessica Parker"	0.0586796
"Hugh Grant"	0.0584649
"Edward Norton"	0.0583587
"Mark Wahlberg"	0.058335
"Jamie Foxx"	0.0581765
"Michael J. Fox"	0.0578151
"John Madden"	0.0573978
"Danny Glover"	0.0573105
"Billy Bob Thornton"	0.0571727
Zapruder	0.0570238
"Jason Alexander"	0.0570053
"Kathleen Turner"	0.0568204
"Bruce Lee"	0.0568203
"Michael Jackson"	0.0562373
"James Woods"	0.0559577
"Matthew McConaughey"	0.0558582
"John Belushi"	0.0557886
Sandler	0.0555776
Truffaut	0.0554462
"John Huston"	0.0553048
Cher	0.0551246
"Elvis Presley"	0.05507
"Matthew Perry"	0.0546356
"Geoffrey Rush"	0.0545438
"Grace Kelly"	0.0544325
Altman	0.0542088
Soderbergh	0.0541995
))
("Clint Mathis" (desc 2626.32) (sims
"Greg Vanney"	0.34476
"Mauricio Cienfuegos"	0.339709
Welton	0.29921
"Paul Caligiuri"	0.284268
"Cobi Jones"	0.266426
"Carlos Hermosillo"	0.253761
"Robin Fraser"	0.23474
"Luis Hernandez"	0.208159
"Ante Razov"	0.183349
"Eddie Lewis"	0.152876
"Frankie Hejduk"	0.149623
"Roy Lassiter"	0.14801
"Dejan Stankovic"	0.146363
"Joe-Max Moore"	0.139811
"Stern John"	0.134494
"Dejan Savicevic"	0.133691
Preki	0.131848
"Leonel Alvarez"	0.125219
"Hao Haidong"	0.122532
"Raul Diaz Arce"	0.121352
"Andy Williams"	0.121324
"Hidetoshi Nakata"	0.116497
"Ariel Ortega"	0.113918
Juninho	0.113126
"Harry Kewell"	0.112933
Cienfuegos	0.112769
"Gheorghe Hagi"	0.110563
"Claudio Reyna"	0.109833
"John Harkes"	0.10673
"Khodadad Azizi"	0.106246
"Predrag Mijatovic"	0.105581
"Kevin Hartman"	0.105499
"Brian McBride"	0.104095
"Robert Prosinecki"	0.102531
"Sun Wen"	0.10072
Mathis	0.0984016
"Carlos Valderrama"	0.0969628
Sissi	0.0969557
"Nwankwo Kanu"	0.0949062
"Youri Djorkaeff"	0.0941247
"Patrick Kluivert"	0.0934285
"Tab Ramos"	0.0932688
"Faustino Asprilla"	0.089987
"Diego Simeone"	0.088425
"Raul Gonzalez"	0.0884141
"Robert Jarni"	0.0879907
"Tore Andre Flo"	0.0879425
"Brian Laudrup"	0.0868755
"Phillip Cocu"	0.0867737
"Paolo Di Canio"	0.0867152
"Claudio Lopez"	0.0851013
"Jorge Campos"	0.0841986
"Zinedine Zidane"	0.0840929
"Tiffeny Milbrett"	0.0840531
"Luis Figo"	0.0833718
"Cindy Parlow"	0.083041
"Ben Olsen"	0.0828953
"David Beckham"	0.0823427
"Marco Etcheverry"	0.0822053
"Davor Suker"	0.0812546
"Kristine Lilly"	0.0807826
"Hu Weidong"	0.080708
"Paul Merson"	0.0806323
"Michael Laudrup"	0.0802227
"Teddy Sheringham"	0.0797365
"Pavol Demitra"	0.0795457
"Paul Scholes"	0.07891
"Alen Boksic"	0.0784824
"Adrian Ilie"	0.0782575
"Edgar Davids"	0.0780965
"Mike Burns"	0.0777775
"Chris Drury"	0.0777733
"Mauricio Ramos"	0.0776485
"Fan Zhiyi"	0.0767671
"Gianfranco Zola"	0.0762418
"Ian Wright"	0.0759467
Edmundo	0.0758112
"Tyrone Nesby"	0.0756112
"Emmanuel Petit"	0.0754318
"Thomas Haessler"	0.0748907
"John Collins"	0.0745806
"Sam Clancy"	0.0736937
"Steve McManaman"	0.0735648
"Kenny Thomas"	0.0732229
"Eric Wynalda"	0.0728518
Djorkaeff	0.0727099
"Ronald de Boer"	0.0724788
"Ulf Kirsten"	0.0724552
"Mario Stanic"	0.0719573
"Donyell Marshall"	0.0717773
"Christophe Dugarry"	0.0715789
"Marcelo Salas"	0.0713687
"Michelle Akers"	0.0708357
"Kris Clack"	0.0705608
"Alan Henderson"	0.0705192
"Didier Deschamps"	0.0705034
"Keith Van Horn"	0.0704552
"Eddie Pope"	0.0702517
"Luigi Di Biagio"	0.0699171
"Robert Pires"	0.0697693
"Bryan Berard"	0.0697654
"Fabrizio Ravanelli"	0.0697092
"Roy Keane"	0.0693407
"Julie Foudy"	0.0693249
"Stan Collymore"	0.0689664
"Ali Daei"	0.0684541
"Tony Amonte"	0.0684493
"Eric Cantona"	0.0682854
Rivaldo	0.0682776
"Juergen Klinsmann"	0.068213
"Rashard Lewis"	0.0681516
"Jeff Agoos"	0.0676166
"Brian Skinner"	0.0674515
"Dirk Nowitzki"	0.0665171
hermosillo	0.0664567
"Zvonimir Boban"	0.0664089
"Enrico Chiesa"	0.0664075
"Kenyon Martin"	0.0663313
"Oliver Bierhoff"	0.0660133
Denilson	0.0659878
"Roberto Baggio"	0.0658695
"Blake Sloan"	0.0657424
"Grant Long"	0.0652611
Jair	0.0652252
"David Trezeguet"	0.0650166
"Shawn Marion"	0.0645274
"Chris Porter"	0.064433
"Ruben Patterson"	0.064353
"Jeremy Roenick"	0.064096
"Jumaine Jones"	0.063963
Bebeto	0.0638674
"Keith Brooking"	0.0637993
"Paul Pierce"	0.0635628
"Mia Hamm"	0.0632448
"Raef LaFrentz"	0.0630425
"Manny Fernandez"	0.0629469
"Antawn Jamison"	0.0626631
"Lee Nailon"	0.0626142
"Ziggy Palffy"	0.0625832
"Andreas Moeller"	0.0625814
"Chris Crawford"	0.0622074
Salas	0.0619153
"Joe Sakic"	0.061702
"Clarence Seedorf"	0.0616757
Hagi	0.061627
Kluivert	0.061472
"Brenden Morrow"	0.061368
"Dennis Bergkamp"	0.0612565
"Thierry Henry"	0.0612159
"Odalis Perez"	0.0611002
"Paul Ince"	0.0607705
"Ryan Giggs"	0.0606241
"Dimitrius Underwood"	0.0605906
Romario	0.0605201
Bergkamp	0.0603169
"George Weah"	0.0601863
"Tyronn Lue"	0.0597572
"Jarvis Turner"	0.0597469
"Michael Booker"	0.0597371
"Hristo Stoichkov"	0.0595363
"Miroslav Satan"	0.0589832
Nailon	0.0585618
"Cesar Sampaio"	0.0585527
"Corliss Williamson"	0.0581918
"Robbie Fowler"	0.058111
"Owen Nolan"	0.0578856
"Ryan Glynn"	0.0574674
"Ron Artest"	0.0574379
"Tom Brady"	0.0573929
"Gabriel Batistuta"	0.0572336
"Charlie Batch"	0.0568416
"Hernan Crespo"	0.0565528
"Jason Kapono"	0.0565525
"Brian Scalabrine"	0.0564899
"Bill Guerin"	0.0564538
"Milan Hejduk"	0.0564219
Briere	0.0564033
"John Avery"	0.0563456
"Jose Jimenez"	0.0562365
"Nicolas Anelka"	0.0560534
"Patrik Stefan"	0.0560282
"Lamar Odom"	0.0558595
"Richard Hamilton"	0.0556398
"Ivan Zamorano"	0.0555011
"Joe Nieuwendyk"	0.0554088
"Alessandro Del Piero"	0.0552492
"Peter Forsberg"	0.0552166
"Scott Elarton"	0.0551815
"Christian Vieri"	0.0551722
"Morris Peterson"	0.0551627
"Wendel Clark"	0.0550857
"Patrick Vieira"	0.0550557
"Leon Smith"	0.0548161
"Fred Taylor"	0.0547824
"Tamika Catchings"	0.0544832
"Cliff Ronning"	0.0544728
"Dwight Yorke"	0.0544355
"Seth Etherton"	0.054292
"Bonzi Wells"	0.054271
"Michael Owen"	0.0542688
))
("Clint Reilly" (desc 2835.66) (sims
"Guy Millner"	0.167771
"Paula Corbin Jones"	0.146167
Reilly	0.13935
"Francisco Labastida Ochoa"	0.138623
"Vojislav Kostunica"	0.131805
"Vicente Fox Quesada"	0.125391
"Matt Fong"	0.122657
"Southeastern Legal Foundation"	0.115854
"Cuauhtemoc Cardenas"	0.115087
"Dan Lungren"	0.114422
"Alejandro Toledo"	0.109768
"Garry Mauro"	0.108882
"Buddy MacKay"	0.108082
"Geraldine Ferraro"	0.106417
"Mitt Romney"	0.10412
"Dan Schnur"	0.101059
"Tom Campbell"	0.100962
"Vicente Fox"	0.100817
"Ralph Reed"	0.100136
"Francisco Labastida"	0.100054
"Howard Milstein"	0.0961926
"Jon Corzine"	0.0936603
"Judicial Watch"	0.0932077
"Patrick Buchanan"	0.0930229
"Betsy McCaughey Ross"	0.0916566
"George McGovern"	0.0905959
Ammiano	0.0902716
"Donald Trump"	0.087612
"Paula Jones"	0.0873273
"Yuri Luzhkov"	0.0863906
"John Hagelin"	0.0859831
"Recording Industry Association of America"	0.0859065
"James Soong"	0.0858295
"Gennady Zyuganov"	0.0857372
"Steve Forbes"	0.0849214
EEOC	0.0842191
"Dick Morris"	0.0821318
"James Carville"	0.0817936
Harris-Lewis	0.0811796
"Frank Luntz"	0.0805375
"David Duke"	0.0804036
"John Anderson"	0.0799546
"Ricardo Lagos"	0.0797468
"Rick Lazio"	0.0791609
"Roy Barnes"	0.0787892
"Yitzhak Mordechai"	0.0785555
"Rick Rockwell"	0.0776812
"Eli Broad"	0.0771251
"Michael Dukakis"	0.0758172
"Jack Kemp"	0.0748377
"Lamar Alexander"	0.0745313
"Megawati Sukarnoputri"	0.0742812
"Gary Bauer"	0.0731059
"Gary Hart"	0.0730974
"Krishna Prasad Bhattarai"	0.0728094
"Barry Goldwater"	0.0725392
"Paul Begala"	0.0720087
"Scott Harshbarger"	0.0719298
Eappens	0.0711824
"Ross Perot"	0.0702437
"Jeffrey Wigand"	0.0700715
"Eliot Spitzer"	0.0699168
ACLU	0.0697131
Councilman	0.0691817
"Ed Roski"	0.0691756
"Charles Schumer"	0.0670639
"Alan Keyes"	0.0667995
"Bob Shrum"	0.0666709
"Willie Brown"	0.0665072
"Rudolph Giuliani"	0.0650439
"Ralph Nader"	0.0648975
"IMS Health"	0.0647713
"Elyakim Rubinstein"	0.0637719
"Board of Supervisors"	0.0629741
"Carl Icahn"	0.0628128
"Motion Picture Association of America"	0.0627129
"Peter Vallone"	0.062656
"Elizabeth Dole"	0.0625703
"Sam Wyly"	0.0624345
"Mike Murphy"	0.0622987
"American Civil Liberties Union"	0.0620876
"Gray Davis"	0.0620196
"magazine publisher"	0.061727
"Bob Dole"	0.0614228
Vallone	0.0611406
"Mel Carnahan"	0.0610416
philanthropist	0.0602663
"Bob Taft"	0.0600048
"Carter Eskew"	0.0599741
Kazhegeldin	0.059475
"Grigory Yavlinsky"	0.0591911
"party boss"	0.0584493
Caldera	0.0584102
"Walter Mondale"	0.0580117
"Patrick J. Buchanan"	0.0577877
"Alexander Lebed"	0.0577708
"Branch Davidians"	0.0572199
"Federal Trade Commission"	0.0569425
"Central Bureau of Investigation"	0.0566601
"Jesse Jackson"	0.0566479
"New York Civil Liberties Union"	0.0561627
"Equal Employment Opportunity Commission"	0.0558908
"Lee Atwater"	0.0556692
"Department of Justice"	0.0555419
"George E. Pataki"	0.0553921
"Linda Smith"	0.0551585
"Bob Franks"	0.0547809
cattlemen	0.054639
"Dick Cheney"	0.0545823
"Pat Buchanan"	0.0543482
"Jim Florio"	0.0541076
"Gerhard Schroeder"	0.053904
"John Cornyn"	0.0534709
"Karl Rove"	0.0528866
"National Association"	0.0523521
"Amien Rais"	0.0521834
"Bruton Smith"	0.0517025
"Air Transport Association"	0.0514877
"Michael Murphy"	0.0512262
FTC	0.0511033
prefect	0.0506721
"Richard Smith"	0.0506569
councilwoman	0.0506381
"Mark Green"	0.0505122
Rua	0.0504548
"district attorney"	0.0501562
"Mary Jo White"	0.0500612
"Jeb Bush"	0.0499823
"George Speight"	0.0490245
"Nathan Landow"	0.0488865
"Pedro Rossello"	0.0488007
"Jesse Ventura"	0.0486817
Shandling	0.0485844
Safir	0.0485727
CPA	0.0482919
DOJ	0.0477466
"Bob McNair"	0.04763
Polgar	0.0475206
"real estate developer"	0.0471794
Davidians	0.0470589
"Warren Buffett"	0.0470209
congresswoman	0.0470092
"Bill Lockyer"	0.0468504
Arrington	0.0468474
Kato	0.0464506
Leavitt	0.0461293
Caddell	0.0459901
"Mary Matalin"	0.045955
Spitzer	0.0459111
"CMGI Inc."	0.0457617
"Chase Manhattan Corp."	0.0456282
"Reagan Democrats"	0.0455125
"Rudy Giuliani"	0.0453542
"Richard Blumenthal"	0.0453458
Zyuganov	0.0452703
"President Kim Young-sam"	0.0452262
Fagan	0.0451425
Bisek	0.0449477
"Sepp Blatter"	0.0448585
oilman	0.0446963
Duchovny	0.0445527
"Huang Ju"	0.0444032
"Enron Corp."	0.044337
"John Edwards"	0.0441823
Symington	0.044127
"Dave Brown"	0.0441147
Desmond	0.0440169
"Moshood Abiola"	0.0440127
Hoi-chang	0.0435787
"Erskine Bowles"	0.0435625
"George Soros"	0.0433375
McWilliams	0.0433366
Moceanu	0.0432587
"Yuri Maslyukov"	0.0431769
Katzenberg	0.0431132
Keyes	0.0430475
Alioto	0.0430389
"U.S. Treasury Department"	0.0429975
"New York Republicans"	0.0429885
"Olusegun Obasanjo"	0.0427702
"KPMG Peat Marwick"	0.0427432
GAAF	0.0427293
"Antonio Langham"	0.0427103
RIAA	0.0426571
"George Ryan"	0.0426401
"Andres Pastrana"	0.0425897
anesthesiologist	0.0425827
"Jim Hodges"	0.0425365
Zacarias	0.0425016
"Tonya Harding"	0.0424674
great-uncle	0.0423771
"GTE Corp."	0.0423034
"John Sweeney"	0.0422891
"bond trader"	0.0422583
Lloyd's	0.0422336
"town clerk"	0.0420048
"Raytheon Co."	0.0419852
Pepsico	0.0419569
Gargan	0.0418434
Poplasen	0.0416734
))
(Clinton (desc 304956) (sims
President	0.238222
gore	0.237434
Bush	0.23049
McCain	0.190052
Netanyahu	0.1773
"Bill Clinton"	0.175721
Yeltsin	0.173889
Arafat	0.172451
Giuliani	0.171994
Barak	0.170044
Bradley	0.165576
Lewinsky	0.159871
"George W. Bush"	0.156786
Starr	0.156557
Putin	0.152841
"Hillary Rodham Clinton"	0.150697
Albright	0.148549
Governor	0.147171
administration	0.145866
Pataki	0.14538
Republican	0.142952
leader	0.141456
Gingrich	0.139828
Annan	0.139321
Milosevic	0.13903
Blair	0.138904
Mayor	0.137114
"White House"	0.136851
government	0.135337
"Al Gore"	0.135158
"first lady"	0.134742
"vice president"	0.13455
Democrat	0.131388
Nixon	0.130569
him	0.128594
Schroeder	0.128314
senator	0.12813
Chirac	0.127751
Mandela	0.127096
Jiang	0.12632
"Benjamin Netanyahu"	0.124717
Clintons	0.123911
Kohl	0.123523
Cohen	0.121687
candidate	0.12023
"Monica Lewinsky"	0.119259
Lieberman	0.1192
Lott	0.119149
"Ehud Barak"	0.119124
"Hillary Clinton"	0.11864
"Tony Blair"	0.118378
official	0.117354
DOLE	0.116817
Khatami	0.115862
minister	0.115728
Congress	0.115081
Reagan	0.114562
Mubarak	0.114101
"secretary of state"	0.11379
Kennedy	0.113778
Reno	0.113588
Mahathir	0.111607
Cellucci	0.111287
her	0.110849
"John McCain"	0.110812
lawmaker	0.110167
Primakov	0.11011
prosecutor	0.109978
D'Amato	0.109937
Obuchi	0.109915
pope	0.109399
Zedillo	0.108881
Lazio	0.108653
Microsoft	0.108243
Hashimoto	0.107489
Sharif	0.107465
NATO	0.107339
Holbrooke	0.106938
Lee	0.106529
Mugabe	0.106264
party	0.105859
Castro	0.105851
"Kofi Annan"	0.105745
Tripp	0.105729
Saddam	0.105531
Buchanan	0.104708
Schumer	0.104416
Zhu	0.104384
politician	0.104325
"Janet Reno"	0.103713
Anwar	0.103688
Mbeki	0.103128
Chavez	0.102922
Fujimori	0.10256
Hastert	0.101865
Israel	0.100853
people	0.100547
Jackson	0.100528
aide	0.100317
Johnson	0.0997414
Estrada	0.0994857
Forbes	0.0993688
Kim	0.0992664
Moi	0.0991084
Assad	0.0990766
Speaker	0.0990025
judge	0.0986288
Whitman	0.0984146
Habibie	0.0977286
Weizman	0.0974175
Chernomyrdin	0.0969919
Hillary	0.0967873
Wahid	0.0964292
"Bill Bradley"	0.0964267
man	0.0963644
Chancellor	0.0962999
GOP	0.0961517
campaign	0.0961514
Greenspan	0.0952339
"George Pataki"	0.0952133
Gephardt	0.0951881
Samaranch	0.0950405
Menem	0.0950067
Senate	0.0949607
father	0.0946658
anyone	0.0945227
"each other"	0.0945198
impeachment	0.0943896
Cheney	0.0942959
he	0.0934729
Jospin	0.0934499
"Justice Department"	0.0931896
Hyde	0.0930775
smith	0.093014
husband	0.092969
lawyer	0.0929249
"George Bush"	0.092393
Davis	0.0923832
them	0.0918493
Richardson	0.0915903
"William Cohen"	0.0912046
Kabila	0.090862
defendant	0.0906771
opponent	0.0906561
Babbitt	0.0903943
Pastrana	0.0903591
parent	0.0902005
member	0.0901094
"United States"	0.0897635
Cardoso	0.0896747
"Nawaz Sharif"	0.089399
Livingston	0.0891688
Vajpayee	0.0891491
"Hun Sen"	0.0889427
Tung	0.0887606
Carter	0.0886431
Washington	0.0883928
Kuchma	0.0882613
Counsel	0.0881291
king	0.0880368
family	0.0878573
Premier	0.0875515
Jones	0.0874475
someone	0.087104
those	0.0870186
secretary	0.0867528
himself	0.0867111
Quayle	0.0866365
reporter	0.0864933
me	0.0864688
Peres	0.0864532
authority	0.0864491
leadership	0.0863605
Vallone	0.0861557
committee	0.086121
proposal	0.0858765
Tyson	0.0856167
China	0.0854558
us	0.0854459
Jordan	0.0853939
union	0.0851928
group	0.0851799
General	0.085093
friend	0.0849441
you	0.0848854
wife	0.084858
American	0.0847162
Russia	0.0846446
McDougal	0.0845807
company	0.0845631
Ross	0.0843445
Pinochet	0.0842908
some	0.08414
"President Kim Dae-jung"	0.084105
Rugova	0.083993
colleague	0.083966
military	0.0838975
Gates	0.0838924
"Pope John Paul II"	0.0838648
Li	0.083786
))
("Clinton Administration" (desc 4454.11) (sims
"EU Commission"	0.122286
"Health and Welfare Ministry"	0.115134
FCC	0.115131
"Pedro Rossello"	0.112616
"Kenyan Government"	0.11109
"United States government"	0.108332
"British government"	0.108215
"U.S. Administration"	0.105993
"Federal Communications Commission"	0.10463
Ruthardt	0.102547
"Philippine Central Bank"	0.101944
"Interior Department"	0.100627
"Nuclear Regulatory Commission"	0.0982108
"Congressional Republicans"	0.0976422
CFTC	0.0972162
EPA	0.0968023
Pentagon	0.0948348
"Jane Hull"	0.0939918
Esser	0.0938694
"Christie Whitman"	0.0936368
"Chief Executive Tung Chee-hwa"	0.0932349
"Park Service"	0.0932263
NRA	0.0932024
"Environmental Protection Agency"	0.09297
"Israeli Foreign Ministry"	0.0927822
HKMA	0.0921489
"Chinese government"	0.0914099
Riordan	0.0912253
"Pete Wilson"	0.0906996
"Commerce Ministry"	0.089636
"Defense Department"	0.0895021
Pataki	0.0892059
FAA	0.0890082
NASD	0.0887904
"National Rifle Association"	0.0885205
MTA	0.0879822
EC	0.0875973
"Parades Commission"	0.0875795
KONI	0.0873794
"Education Ministry"	0.0872965
"House Republicans"	0.0871893
"Forest Service"	0.0862613
Ciampi	0.0861252
CEC	0.0860897
"George Pataki"	0.0858795
"Reagan administration"	0.085167
Denktash	0.0851316
FTC	0.0850129
"Energy Department"	0.0848735
ITF	0.0847773
FDA	0.0841733
Khamenei	0.0840213
PBSI	0.0839771
Zedillo	0.0836838
"Roy Barnes"	0.083602
"Israeli Cabinet"	0.0835534
"Republican Congress"	0.0834947
NHTSA	0.0834362
"Industry Ministry"	0.0832741
"Food and Drug Administration"	0.0831743
USAID	0.0826
"United Front"	0.0824893
"Gray Davis"	0.0823954
FSA	0.0822217
Westendorp	0.0821471
Rowland	0.0821448
D'Alessandro	0.0819849
CSRC	0.0819103
"Jeb Bush"	0.0814107
Juppe	0.0812722
"Arab League"	0.0811595
Cellucci	0.0806672
"Fish and Wildlife Service"	0.0805881
Carnahan	0.0803137
Glickman	0.0802508
Helms	0.0802445
Ecevit	0.0799037
goverment	0.0798222
Meissner	0.0797191
Arens	0.0791934
IMF	0.0789011
Groscost	0.0788547
"election commission"	0.0787702
"U.S. State Department"	0.0784725
"Central Government"	0.0784633
Gramm	0.0784511
Lott	0.078437
NIH	0.0781508
OSHA	0.0781491
"Bank Negara"	0.0781284
"federal government"	0.0780125
Rossello	0.0779131
Kuchma	0.0777941
Mandelson	0.0777769
"Transportation Department"	0.0772975
INS	0.076838
"Defense Agency"	0.0767593
HCFA	0.0767569
"Australian Olympic Committee"	0.0765464
"Janet Reno"	0.0765444
USDA	0.0765383
Pastrana	0.0764638
Annan	0.0763161
NCEC	0.0757174
Bouteflika	0.0754609
"John Major"	0.075459
BNFL	0.0754085
"Benjamin Netanyahu"	0.0753623
"federal official"	0.075299
"European Commission"	0.0752566
E.U	0.0749219
Estrada	0.0748066
"International Monetary Fund"	0.0746453
"Home Ministry"	0.0746259
CNTA	0.0744551
Moi	0.0744073
PNA	0.0742928
"British Foreign Office"	0.0741129
regulator	0.0740353
"U.S. Environmental Protection Agency"	0.0739998
Domenici	0.0739684
"Bank of Thailand"	0.0738576
BJP	0.0737899
"Jack Straw"	0.0737681
"Justice Ministry"	0.0735857
"municipal government"	0.0734221
Whitman	0.0734055
"Contact Group"	0.0733114
"executive branch"	0.0733108
Khatami	0.0732988
Hastert	0.0732898
Garzon	0.0732794
PUC	0.0730504
"Treasury Department"	0.0728782
Mugabe	0.0727738
"William Hague"	0.0727507
Cuomo	0.0726945
Fujimori	0.072615
"Justice Department"	0.0725862
"Immigration and Naturalization Service"	0.0725595
"Secretary General Boutros Boutros-Ghali"	0.0723164
HUD	0.07219
"Binyamin Netanyahu"	0.0721425
"U.S. Fed"	0.0721263
"U.S. Army Corps of Engineers"	0.0720797
"John G. Rowland"	0.0719622
Cardoso	0.0717662
Reno	0.0713879
UNP	0.0712055
OAU	0.0711681
"U.S. Defense Department"	0.0710552
"House Democrats"	0.0710482
FA	0.0707411
"William Cohen"	0.0705153
"Federal Trade Commission"	0.0703435
"President Kim Dae-jung"	0.0701942
Waigel	0.0701732
"Nevada Athletic Commission"	0.0700863
"lower court"	0.0698427
"state legislature"	0.0698353
Netanyahu	0.0697999
"Kofi Annan"	0.0697081
MILF	0.0696779
Berisha	0.0696442
"Department of Transportation"	0.0696249
Teresi	0.0695944
Giuliani	0.0695111
"Health Department"	0.0694194
"King Norodom Sihanouk"	0.0691642
"Pac Bell"	0.0691153
Abubakar	0.0690557
Icahn	0.0690154
"State Department"	0.0689844
Vallone	0.0689747
Simitis	0.06893
USOC	0.0689196
ACWF	0.0689109
"Guardians Council"	0.068697
"appellate court"	0.0685958
Arbour	0.0685809
"Department of Defense"	0.0685312
AFL-CIO	0.0684822
"Education Department"	0.068411
ITC	0.0682573
"European Court of Human Rights"	0.068215
Bundesbank	0.0681334
FPL	0.0681276
Banharn	0.0679917
Mahuad	0.0679829
DEP	0.06786
"U.S. Forest Service"	0.0678393
UNMIK	0.067732
"Defense William Cohen"	0.0677096
Wahid	0.0676877
Leavitt	0.0676055
G-@	0.0675899
"Mel Carnahan"	0.0675577
Vatican	0.0675534
"State Council"	0.0675449
"U.S. Supreme Court"	0.0674895
))
("Clinton White House" (desc 5494.6) (sims
"Reagan administration"	0.0958558
UNAMET	0.0631043
"New York Police Department"	0.0618887
"Clinton Administration"	0.0608507
"Justice Department"	0.0537667
Kremlin	0.0535714
"Kenneth Starr"	0.0524104
"Health and Welfare Ministry"	0.0522474
NIH	0.051872
"Mike Espy"	0.0510131
SLOC	0.0507421
CPSC	0.0496904
"State Department"	0.0494566
RNC	0.0491356
IRS	0.0487748
"Bruce Babbitt"	0.0486371
"Interior Department"	0.0481246
Vacco	0.0477936
PSC	0.0472255
"Salt Lake"	0.0468643
USTA	0.0467436
"New Jersey State Police"	0.0467298
D'Amato	0.0465514
NRA	0.0463616
"Energy Department"	0.0463595
"police department"	0.0462249
Gingrich	0.0461775
"US State Department"	0.0461769
"National Rifle Association"	0.0459461
Cellucci	0.0459289
"Russian Space Agency"	0.0457769
"tobacco industry"	0.0457037
NSC	0.0455311
"Department of Education"	0.0453642
"Nuclear Regulatory Commission"	0.0453397
statehouses	0.0453156
MTA	0.0450283
NRC	0.0448078
SCI	0.0446225
"British Foreign Office"	0.0439989
Moseley-Braun	0.0437776
Massport	0.0435979
FCC	0.0435977
FTC	0.0434703
Coelho	0.0433689
"Jane Hull"	0.0433521
FSA	0.0432388
"Texas Department of Public Safety"	0.0431898
Rowland	0.0429764
"National Election Committee"	0.042857
Clinton-Gore	0.042626
"bomb site"	0.0425627
"executive branch"	0.0424421
"Housing Authority"	0.0424076
Gephardt	0.0421308
HCFA	0.0416587
"Los Angeles Unified School District"	0.0414929
CIA	0.0414604
"Agriculture Department"	0.0412221
EEOC	0.0411617
Tudjman	0.041055
CPS	0.0410133
LAPD	0.0408735
"Department of Corrections"	0.0408663
va	0.0405342
"PG&AMP;E"	0.0404049
Cuomo	0.0400364
))
(Clinton-Gore (desc 5541.54) (sims
DNC	0.100628
"Democratic National Committee"	0.0752776
Dukakis	0.073037
decadelong	0.067703
Torricelli	0.0663742
"Republican National Committee"	0.063244
RNC	0.0626374
"Electronic Privacy Information Center"	0.0603895
"Democratic Party"	0.0591453
"Democratic Senatorial Campaign Committee"	0.0573933
"senate campaign"	0.0553421
eleventh-hour	0.0547058
Samper	0.0543909
TVM	0.0543507
Reagan	0.0525655
"United Way"	0.0525335
"Violence Policy Center"	0.0522603
branding	0.0517943
ALEXANDER's	0.0515502
U.S.-China	0.0502954
"political campaign"	0.0499742
Siegelman	0.0495272
franks	0.0488091
"Winning Colors"	0.0482625
"New National Party"	0.0479306
grassroot	0.047849
Tory	0.0476425
protectionist	0.0471958
Kohl	0.0471774
Hoffa	0.0469965
go-slow	0.0466453
"home rule"	0.0465217
perestroika	0.0464385
"Democratic Congressional Campaign Committee"	0.0460534
"Joe Camel"	0.0458559
Menem	0.0456682
beautification	0.0454133
Florio	0.0449594
"Republican House"	0.0448752
Hodges	0.0448345
Sandinista	0.0445043
Stalinist	0.0436837
Asia-Europe	0.0436547
ASEM	0.043644
"House GOP"	0.043409
"Conservative Party"	0.0433956
Eisenhower	0.0432994
unionization	0.0432484
Vacco	0.0431735
Carnahan	0.0431657
two-decade	0.0430687
U.S.-Russian	0.0430541
four-month	0.0429792
Cellucci	0.042881
"Clinton White House"	0.042626
"New Democrat"	0.042618
"New Korea Party"	0.0425131
post-Soviet	0.0424101
Aquino	0.0423957
"Asia Pacific Economic Cooperation"	0.0423093
OPIC	0.0423074
segregationist	0.0419904
Fujimori	0.0419003
FEDERALIST	0.0417872
McGovern	0.0417561
"population control"	0.0416347
high-stakes	0.0416335
"cost cutting"	0.0415101
Ramos	0.0414952
IRS	0.0413185
Mauro	0.0409754
D'Amato	0.0409609
Capps	0.0408471
Cardoso	0.0406273
"psychological warfare"	0.0406016
pro-western	0.0405598
apartheid	0.040413
collaborative	0.0403332
MacKay	0.040308
"Sydney Olympic"	0.0401349
))
(Clinton-Lewinsky (desc 1106.64) (sims
Iran-contra	0.390454
"Bank Bali"	0.203007
"Monica S. Lewinsky"	0.152492
unfolding	0.134113
long-running	0.130071
"Rampart Division"	0.123364
"Gennifer Flowers"	0.11999
tailwind	0.108518
Watergate	0.107999
made-for-TV	0.104841
Mabetex	0.104016
Keating	0.102117
four-month	0.099279
rampart	0.0990437
"Branch Davidian"	0.0986328
Deutch	0.0973064
"Ben Johnson"	0.0958468
"insider trading"	0.0922859
"JonBenet Ramsey"	0.0907841
O.J	0.0894314
on-and-off	0.0865663
Espy	0.0861988
coming-out	0.0848346
U.S.-China	0.0845848
"Bank of New York"	0.0844869
cross-Straits	0.0838557
"savings and loan"	0.0835385
Whitewater	0.0832069
"Bob Jones"	0.0824
U.S.-Russian	0.08191
Rushdie	0.0811208
"Elian Gonzalez"	0.0801824
"Jekyll and Hyde"	0.0789879
Bosman	0.0789433
Willey	0.07882
Ickes	0.0781706
five-month	0.077453
high-stakes	0.0768538
Norberg	0.0760244
DS	0.0755582
"A.R Baron"	0.0751222
"slush fund"	0.0737332
longterm	0.0734453
Brawley	0.0731594
Anglo-American	0.0713157
TINDERBOX	0.0711655
Sino-African	0.0711358
BARNICLE	0.0709563
Rothko	0.0700629
state-to-state	0.0695899
"arm's length"	0.0677355
Pollard	0.0676753
"Kathleen Willey"	0.0665527
nine-month	0.0663639
seven-month	0.0656852
"Belmont Learning Center"	0.0652343
TVM	0.0643242
Daiwa	0.0641891
one-to-one	0.0640991
deadend	0.0639419
broadening	0.0638324
six-year	0.0635945
up-and-down	0.0635268
Sleepwalking	0.0633858
Manbar	0.0628425
"Food Lion"	0.0622616
"South Asian"	0.0621841
improv	0.0618855
north-south	0.0615139
Beltre	0.0613532
Sogo	0.0610686
Dreyfus	0.0607588
Russian-U.S.	0.0607262
eight-month	0.0605784
Ramsey	0.0601929
widening	0.0600868
"John Grisham"	0.0600835
Sumitomo	0.0599058
"million Dollar"	0.0598199
Holyfield-Lewis	0.0592315
Balkan	0.059204
Shackleton	0.0590489
INDIA-PAKISTAN	0.0588187
SHUSTER	0.058717
nuts-and-bolts	0.0583121
dioxin	0.0580953
paternity	0.0580639
U.S.-Japan	0.0576904
"Casey Martin"	0.057517
gotcha	0.0566601
polygraph	0.0561956
win-win	0.0560371
"Near East"	0.0558445
pimpernel	0.055717
"Patty Hearst"	0.0555739
"Wen Ho Lee"	0.055222
CHT	0.0552102
one-night	0.0551646
Asia-Europe	0.0549162
Davidian	0.0548006
public-relations	0.0545504
Lockerbie	0.0544766
Broaddrick	0.054206
DOJ	0.0532633
China-U.S.	0.0529477
compounding	0.0525
Behind-the-scenes	0.0524699
hourlong	0.0523218
two-decade	0.0521023
multimillion	0.0518874
"pen pal"	0.0518795
"Gun Ri"	0.0518497
"two to three"	0.0514721
Carruth	0.0514354
"Los Angeles Daily News"	0.0513284
primetime	0.0512543
"Two and three"	0.0510214
Balzac	0.0509264
escapist	0.0508725
"Rodney King"	0.0505566
Sino-British	0.0502311
Multistate	0.0499659
"National Court"	0.0498917
Festina	0.0497701
price-fixing	0.0494502
"Reggie Lewis"	0.0492241
"Harvard Pilgrim"	0.049211
off-day	0.0491444
counterintelligence	0.0490319
Followup	0.0488799
seven-year	0.0488486
weeklong	0.0487474
ITT	0.0481979
Horton	0.0478078
Monicagate	0.047733
blossoming	0.0477091
DuBose	0.0475314
Oedipal	0.0475081
Piggie	0.0471235
gunrunning	0.047062
"Jenny Jones"	0.0470372
similiar	0.046962
Hemings	0.0469278
one-hour	0.046918
He/she	0.0468156
RCMP	0.0466533
Fifty-five	0.0466121
Sino-Russian	0.046386
W-@@	0.0463116
Franco-German	0.0463089
"breast implant"	0.0461266
Hokey	0.0460231
Unabomber	0.0455155
"Old Testament"	0.0453228
"five key"	0.0451002
"Three key"	0.0450781
Yukos	0.0450585
"Salman Rushdie"	0.0447363
diem	0.044709
"loan shark"	0.0445133
post-Soviet	0.044471
"A few key"	0.0444388
sf	0.0444262
cliffhanger	0.0443884
zillion	0.0443684
"back street"	0.0443385
"East Asian"	0.044052
Galileo	0.0437014
teamster	0.0436812
Regan	0.043598
disbarment	0.0433817
"Community Reinvestment Act"	0.0432639
"toll call"	0.043187
BSA	0.0429332
Israeli-Palestinian	0.0428918
demagogue	0.0427208
JonBenet	0.0427093
nine-year	0.0427036
O'Hair	0.0426925
Silverado	0.042675
BNFL	0.0426585
"Paula Jones"	0.0426189
lastest	0.0425677
CellPro	0.0423798
multiyear	0.0420644
"another seven"	0.0420565
McCourt	0.0418708
"Brooklyn Museum"	0.0416787
FALN	0.0416162
inter-Arab	0.0415898
late-'@@s	0.0414951
Mehmet	0.0414019
"six billion"	0.0413727
Symington	0.0412577
bookkeeping	0.0411817
downbeat	0.0411321
"Aaron Spelling"	0.0410039
reemployment	0.0409075
"Next Generation"	0.0408966
pedophile	0.0408205
))
(Clintonian (desc 1528.68) (sims
transformative	0.0774766
"face saving"	0.0756638
defining	0.0737738
nuts-and-bolts	0.0695763
go-slow	0.0690475
pan-African	0.0666877
one-China	0.062116
U.S.-Russian	0.0586129
ping-pong	0.0572825
gunboat	0.0555258
House-Senate	0.0516318
spoken	0.051412
"public speaking"	0.049666
Orwellian	0.0490992
survivalist	0.0488041
triangulation	0.0486574
Sung	0.0485301
"A few key"	0.048323
nonintervention	0.0474054
U.S.-China	0.0465879
five-minute	0.0462915
Dickensian	0.0457487
five-point	0.0455485
pro-western	0.0450436
Fellini	0.0448874
hands-on	0.0445904
"high wire"	0.0439437
six-point	0.0435645
fallback	0.0432069
storybook	0.0431664
Pong	0.0428594
expansionist	0.0425145
checkerboard	0.0422402
Levi's	0.0417326
minimalist	0.0417206
hyper	0.041259
keynote	0.0411597
bare-bones	0.0411184
forbidden	0.0409221
preachy	0.0409189
"New Labor"	0.0406031
Sino-Japanese	0.0403073
hardline	0.0402367
))
(Clintons (desc 28574.3) (sims
Clinton	0.123911
"first lady"	0.102489
"Hillary Rodham Clinton"	0.0974516
gore	0.0766041
Frankel	0.0747008
Yeltsin	0.0746181
"Bill Clinton"	0.0740061
Bush	0.0732717
Giuliani	0.0726104
Gingrich	0.0724237
Hubbell	0.0718658
McCain	0.071141
Weizman	0.0709708
Barak	0.0697652
Starr	0.0694978
"Webster Hubbell"	0.0691654
Arafat	0.069074
Lewinsky	0.0690126
pope	0.068554
McAuliffe	0.0684241
Holbrooke	0.0679742
"Hillary Clinton"	0.0679565
Gores	0.0662284
Gotti	0.066143
Suharto	0.0656421
Pataki	0.0652383
her	0.0649229
Nixon	0.0647251
Bradley	0.0642245
McDougal	0.064197
Mandela	0.0632854
Cisneros	0.0629514
client	0.0623018
Ramseys	0.0621407
Hillary	0.0620388
Netanyahu	0.0613513
Putin	0.0612121
Albright	0.0611304
DOLE	0.0611029
Menem	0.060998
Anwar	0.0607461
Castro	0.0604145
Gaddafi	0.0603332
Laden	0.0602842
"George W. Bush"	0.0599551
"Monica Lewinsky"	0.059771
Lieberman	0.0595869
husband	0.0592182
Bulger	0.0591904
Tripp	0.0590696
Skakel	0.0589217
"John Paul"	0.0589109
"Pope John Paul II"	0.0578226
Chirac	0.0578118
Lazio	0.0577832
Cheney	0.0573962
Mayor	0.0571226
Zhu	0.0570753
Kennedy	0.0569893
"vice president"	0.0568446
defendant	0.0568321
Governor	0.0568182
Maag	0.0564694
D'Amato	0.056445
Estrada	0.0564073
Scalfaro	0.0562294
Cohen	0.0560176
"Tony Blair"	0.0556445
Jiang	0.0555295
Chavez	0.0555133
Trie	0.0551449
Edwards	0.0548644
Sharif	0.0546003
brother	0.0545892
Lee	0.0545636
"King Hussein"	0.0544615
Hsia	0.0541309
Blair	0.0538326
Tudjman	0.0537925
pontiff	0.0536742
"Ehud Barak"	0.0536615
Schroeder	0.0536267
guest	0.0531361
Tung	0.0529771
"Susan McDougal"	0.0529051
senator	0.0528734
Reagan	0.052786
"Al Gore"	0.0527249
Milosevic	0.0526636
Assad	0.0525816
Murdoch	0.0525708
Li	0.0523291
Kim	0.0522638
Jospin	0.0521701
Schwarz	0.051809
Daley	0.0517124
Schumer	0.0516525
Zedillo	0.051535
Khatami	0.0515052
Imperatori	0.0512526
"family member"	0.0510263
"Hun Sen"	0.0508534
"Raul Salinas"	0.0507523
Mbeki	0.0507045
Armstrong	0.0506948
Perot	0.0506173
Gadhafi	0.0505891
Kohl	0.0504791
"Dalai Lama"	0.0503229
Coelho	0.0501891
Democrat	0.0500146
Microsoft	0.0499652
Gonzalez	0.0499272
Chretien	0.0499114
Kennedys	0.0498329
Ganga	0.0497766
Rawlings	0.049775
Davis	0.0495918
politician	0.0494918
Gusinsky	0.0493595
Pinochet	0.0493295
"Queen Elizabeth II"	0.0492303
she	0.0491755
Berezovsky	0.049149
Demirel	0.0491457
Hussein	0.0491023
Ahtisaari	0.0490215
Primakov	0.0488815
Gephardt	0.0487831
grandmother	0.0487241
Jackson	0.0487184
Qiao	0.0485682
taxpayer	0.0485602
Robinson	0.0484216
Constantinescu	0.0484108
Annan	0.0483747
Bedie	0.0483657
Whitewater	0.0482451
Steele	0.0481782
Stewart	0.0481397
king	0.0480223
visitor	0.0478902
Mubarak	0.0478535
Prince	0.0477842
"federal government"	0.047736
daughter	0.0477158
Soeharto	0.0477071
"Chelsea Clinton"	0.0477034
Lott	0.04763
"Li Peng"	0.0475978
Mahathir	0.0475727
Rao	0.0474608
Hu	0.0474297
Habibie	0.0473903
Obuchi	0.0473105
"Juan Miguel Gonzalez"	0.0472522
Johnson	0.0470683
trump	0.0470058
Whitman	0.0469764
"Democratic National Committee"	0.046902
Herzog	0.0468963
"Yasser Arafat"	0.0468827
smith	0.0468697
Yassin	0.0468116
"Suu Kyi"	0.0467069
Wahid	0.0466878
Murr	0.0465326
Elian	0.0464816
"Lionel Jospin"	0.0463832
Graham	0.0463816
Chen	0.0463425
Kraft	0.046288
Pirro	0.0462801
Carter	0.0461368
businessmen	0.0461235
Chavalit	0.0461136
Steinbrenner	0.0459881
Flemmi	0.0459875
Tyson	0.0459273
Quayle	0.0458322
"Fidel Castro"	0.0458228
Obasanjo	0.0457229
Premier	0.0456303
Bhutto	0.0456063
lawmaker	0.0455465
Hariri	0.0455439
Lewis	0.0455431
dictator	0.0455297
prosecutor	0.0453945
spouse	0.0453386
Kabila	0.0451656
Cellucci	0.0451656
SHUSTER	0.0451177
Koch	0.0450058
Forbes	0.0449873
"Parker Bowles"	0.0449852
Erbakan	0.0448939
Ross	0.0448728
"secretary of state"	0.0448422
Sharon	0.0448208
))
(clip (desc 48917.2) (sims
footage	0.15358
video	0.132798
snippet	0.124869
"film clip"	0.12424
photograph	0.116774
videotape	0.115579
excerpt	0.110669
photo	0.107013
tape	0.101401
picture	0.098728
audio	0.087331
graphics	0.08723
image	0.0867916
"home movie"	0.0850146
outtakes	0.084443
sketch	0.0842869
cartoon	0.082303
file	0.082085
Recording	0.0805723
commercial	0.0795645
transcript	0.0790266
stills	0.0764024
illustration	0.0762587
text	0.0761498
poster	0.0761276
cassette	0.0758326
sequence	0.0755936
montage	0.0749918
music	0.074507
AD	0.0742008
newsreel	0.0741927
highlight	0.0734583
material	0.0726722
animation	0.0723611
advertisement	0.0721368
documentary	0.0704588
segment	0.0702185
commentary	0.0701204
film	0.0691518
CD	0.0685963
description	0.0683792
drawing	0.0681891
map	0.067991
Song	0.0679014
interview	0.0678689
copy	0.0675809
essay	0.0671075
episode	0.0659501
presentation	0.065861
memorabilia	0.0657289
artifact	0.0656648
card	0.0655663
handgun	0.0652609
page	0.0649373
scene	0.0644234
document	0.0638962
"sound bite"	0.0638306
"special effect"	0.0635254
disk	0.0629845
reel	0.0629824
note	0.0629298
"newspaper clipping"	0.062819
feature	0.0627289
book	0.0622399
pistol	0.0618931
trailer	0.0617836
disc	0.0613869
version	0.0613682
collection	0.0613506
anecdote	0.0612377
snapshot	0.0611064
clipping	0.0607173
story	0.0605085
print	0.0604773
pace	0.060419
biography	0.0603976
broadcast	0.060359
movie	0.0603574
data	0.060317
Diagram	0.0598328
box	0.0595436
ammunition	0.0592101
"compact disc"	0.0592068
"tape recording"	0.0590495
painting	0.0588808
information	0.058866
soundtrack	0.0586532
cartridge	0.0584097
article	0.0584096
piece	0.0578212
preview	0.0576954
chart	0.057617
item	0.0573156
profile	0.0572973
artwork	0.0571197
exhibit	0.0571015
special	0.0570451
script	0.0570178
merchandise	0.0565019
software	0.0563068
diary	0.0562994
content	0.0560256
detail	0.0555531
format	0.0554735
camera	0.0554328
rerun	0.0553629
button	0.0553063
brochure	0.0552813
headline	0.0551841
glimpse	0.0550582
portrait	0.0549791
lyric	0.0548822
rifle	0.0546966
album	0.0545764
summary	0.0545351
programming	0.0544711
vignette	0.0544221
toy	0.0543932
replay	0.0540716
closeup	0.0539287
editing	0.0539102
stuff	0.0537411
message	0.053725
cloth	0.0536046
CD-ROM	0.0533848
recipe	0.0533391
archive	0.0532684
"sound effect"	0.0531527
"compact disk"	0.0530098
costume	0.0528045
sample	0.052794
memento	0.0527481
gun	0.0527243
coverage	0.0525837
catalog	0.0523792
poem	0.0522641
"TV program"	0.0520128
account	0.051997
postcard	0.0518637
bullet	0.0518113
Advertising	0.0516736
quotation	0.051648
performance	0.0515695
skit	0.0515236
testimony	0.0513687
analysis	0.0513177
"TV show"	0.0512356
pin	0.051223
letter	0.0511919
spreadsheet	0.05109
news	0.050901
word	0.0508286
device	0.0507536
manuscript	0.0506422
screen	0.0506394
"TV commercial"	0.0506015
scrapbook	0.050457
character	0.0503222
stamp	0.0503206
paper	0.0502327
magazine	0.050226
update	0.0501218
synopsis	0.0497933
calendar	0.0497276
memory	0.0496437
selection	0.0494767
series	0.0494729
phrase	0.0491923
DVDs	0.0488539
revolver	0.0488348
visuals	0.0486989
sticker	0.0486025
Clothing	0.0485721
column	0.0485252
Coin	0.0485241
"news story"	0.0484723
object	0.0484705
photography	0.0482512
jewelry	0.0481564
pamphlet	0.0481511
souvenir	0.0480742
Projector	0.048048
sculpture	0.0479833
speech	0.0479649
logo	0.0478289
kit	0.047785
graph	0.0477257
furniture	0.0476059
translation	0.0474373
"television program"	0.0473004
TV	0.0472668
parody	0.04691
notebook	0.0468956
chat	0.0468824
billboard	0.046651
color	0.0465725
weapon	0.0465101
statistic	0.0464725
Entertainment	0.0463995
joke	0.0463845
))
(clipboard (desc 3083.86) (sims
stopwatch	0.0960345
paintbrush	0.0817152
broom	0.080114
briefcase	0.0793251
stylus	0.0786392
racquet	0.0775509
pail	0.0748806
gouache	0.0716195
binocular	0.0701073
racket	0.0698803
pencil	0.0698615
notepad	0.0691625
"beach towel"	0.068739
megaphone	0.067246
walkie-talkie	0.0672277
"shopping bag"	0.0653127
"book bag"	0.0651047
"fountain pen"	0.0639751
"water bottle"	0.0627443
flashlight	0.0611687
"paper cup"	0.0610969
"hockey stick"	0.0606742
"grocery bag"	0.0606733
clicker	0.059904
microphone	0.0594024
machete	0.0592307
"tape recorder"	0.0588555
suitcase	0.0584966
"fishing rod"	0.0583558
"car door"	0.0578159
cane	0.0570167
revolver	0.0568782
desktops	0.0558603
shovel	0.0557384
"baseball bat"	0.0556507
backpack	0.0556015
goatee	0.0555351
"walking stick"	0.0549716
rosary	0.0546863
braid	0.0542891
knapsack	0.0540767
checkbook	0.0539825
parasol	0.0525835
beeper	0.0524644
chainsaw	0.0519456
carbine	0.0518272
"tennis racket"	0.0516965
spear	0.0514632
"sheet of paper"	0.0512166
bandanna	0.0506547
earphone	0.0504059
cellphones	0.0501027
"ballpoint pen"	0.0499752
"Daily Racing Form"	0.0491572
"submachine gun"	0.0490633
towel	0.0487523
hose	0.0486709
BMI	0.0486055
placard	0.0484543
ax	0.0484067
"portable computer"	0.0482604
"data file"	0.0476985
windscreen	0.0471984
"beach ball"	0.0471522
sobriquet	0.0470831
"automatic rifle"	0.0470446
crotch	0.0470027
tuner	0.0466994
"crew cut"	0.046599
"dark glasses"	0.0465305
"prayer meeting"	0.0463313
eraser	0.0459997
crayon	0.0456743
"black flag"	0.0456735
jug	0.0456271
AK-@@	0.0454955
shotgun	0.0452826
"coffee cup"	0.044745
gavel	0.0444934
armful	0.0438152
putter	0.0437582
"Palm Pilot"	0.0437392
stethoscope	0.0437203
drumstick	0.0437118
"coffee mug"	0.0435433
headset	0.0435278
satchel	0.0434137
Rolodex	0.0433007
"wedding party"	0.0430521
"Star of David"	0.0429386
camcorders	0.0428964
bullhorn	0.0425987
"lawn chair"	0.0424196
razor	0.0422479
biceps	0.0421528
"golf bag"	0.0418558
"cigarette lighter"	0.0418201
snowball	0.0417437
"debt load"	0.0415793
"Hail Mary"	0.0415657
"hand grenade"	0.0415227
"hair dryer"	0.0414845
"piece of paper"	0.041199
"paper bag"	0.0411244
sparkler	0.0411079
"machine gun"	0.0409949
handkerchief	0.0409677
"nose ring"	0.0409268
spreadsheet	0.0408432
"skin cancer"	0.0408109
mop	0.0406138
"fire extinguisher"	0.0405152
ponytail	0.0404881
M-@@	0.0403341
scorecard	0.0403293
sheaf	0.040203
tibia	0.0401771
Matchbox	0.0401207
))
(clipper (desc 36002.7) (sims
"Los Angeles Clippers"	0.230574
Lakers	0.201995
Celtics	0.193206
Raptor	0.188679
Hornet	0.169551
Sonics	0.166724
piston	0.164377
pacer	0.164092
grizzly	0.161989
maverick	0.159784
Knicks	0.159377
"Los Angeles Lakers"	0.158864
Timberwolves	0.157202
"Chicago Bulls"	0.155727
"Golden State Warriors"	0.154007
sixer	0.153231
"Golden State"	0.151967
bull	0.149668
"Trail Blazers"	0.149258
spur	0.147891
hawk	0.146956
nugget	0.146363
Eagles	0.145038
BEARS	0.143161
"Dallas Mavericks"	0.142399
"Houston Rockets"	0.139863
bruin	0.139791
"Washington Wizards"	0.137165
"Phoenix Suns"	0.1363
"Tampa Bay"	0.135083
Giants	0.134262
"Sacramento Kings"	0.133623
falcon	0.133271
Redskin	0.132213
"San Antonio Spurs"	0.130823
"Atlanta Hawks"	0.130649
"Boston Celtics"	0.130519
"Charlotte Hornets"	0.129434
Cleveland	0.12941
blazer	0.128687
Seahawks	0.128209
Vancouver	0.127442
oiler	0.127315
cavalier	0.125736
Portland	0.125722
"Indianapolis Colts"	0.124454
"Indiana Pacers"	0.124127
Orioles	0.124033
"Utah Jazz"	0.123993
cardinal	0.123977
"New York Giants"	0.123878
panther	0.123309
ranger	0.123191
"New York Islanders"	0.122859
ram	0.122744
Milwaukee	0.12232
dodger	0.122274
"Minnesota Timberwolves"	0.122016
Bengals	0.121384
Padre	0.120687
cowboy	0.120498
"White Sox"	0.11974
"Washington Redskins"	0.119457
"Los Angeles Kings"	0.119453
Supersonics	0.119358
Orlando	0.119016
Denver	0.118695
"Portland Trail Blazers"	0.11869
raider	0.118628
ASTROS	0.118437
wildcat	0.118428
packer	0.11813
Dallas	0.118122
patriot	0.117927
mariner	0.117923
"Cleveland Browns"	0.117698
Sacramento	0.11735
"Philadelphia Eagles"	0.117212
Detroit	0.117033
"Detroit Pistons"	0.116977
Phoenix	0.116789
"Chicago Bears"	0.116725
"Cleveland Cavaliers"	0.116593
"New York Rangers"	0.11647
A's	0.116151
Canuck	0.11604
"Minnesota Vikings"	0.115381
bronco	0.115357
"Miami Heat"	0.115194
Seattle	0.114857
"New Jersey Nets"	0.11453
diamondback	0.113731
Mets	0.113326
"Red Sox"	0.113269
brave	0.112829
marlin	0.112724
Viking	0.112668
Minnesota	0.112568
Phillies	0.1124
"Orlando Magic"	0.112287
Trojan	0.111696
"Los Angeles Dodgers"	0.111509
"Vancouver Canucks"	0.111356
Carolina	0.111331
"New York Knicks"	0.111078
"Milwaukee Brewers"	0.11106
Toronto	0.110279
cub	0.11013
husky	0.110019
"Dallas Cowboys"	0.109915
Yankee	0.109796
"Toronto Raptors"	0.109593
"blue jay"	0.109585
Utah	0.109404
wizard	0.108919
"Milwaukee Bucks"	0.108437
warrior	0.107375
"Miami Dolphins"	0.107271
islander	0.107016
Longhorn	0.106979
"Green Bay"	0.106912
MetroStars	0.106545
"Cincinnati Bengals"	0.106257
Cincinnati	0.106217
Cavs	0.106082
bulldog	0.105651
"Edmonton Oilers"	0.105585
"San Antonio"	0.105041
gamecock	0.104979
"New York Mets"	0.104904
charger	0.104708
"New Orleans Saints"	0.104456
"Colorado Avalanche"	0.104253
Jazz	0.104172
"Tar Heels"	0.104133
Indiana	0.103998
Houston	0.103921
Charlotte	0.103893
"San Diego Chargers"	0.103412
"Seattle SuperSonics"	0.103077
"Red Wings"	0.102987
"Vancouver Grizzlies"	0.10264
"Green Bay Packers"	0.102508
"New York Jets"	0.102072
"Mighty Ducks"	0.10203
Chicago	0.101606
"Boston Red Sox"	0.101561
colt	0.101517
"Cleveland Indians"	0.101304
sabre	0.101089
Sox	0.100854
flyer	0.100631
"Kansas City Chiefs"	0.100437
Philadelphia	0.10035
"Chicago Cubs"	0.0998715
"St. Louis Cardinals"	0.0996451
"Kansas City Royals"	0.0996188
"St. Louis Rams"	0.0994866
ANAHEIM	0.0993312
dolphin	0.0991313
"Cincinnati Reds"	0.09883
"Denver Nuggets"	0.098592
"New England Patriots"	0.0984773
thrasher	0.0984515
"Montreal Canadiens"	0.0983682
"Philadelphia Phillies"	0.0982515
"ATLANTA FALCONS"	0.0982429
"Carolina Panthers"	0.0982051
"Atlanta Braves"	0.0980792
rocket	0.0980751
"Detroit Tigers"	0.0979477
angel	0.0979235
USC	0.0978241
Raven	0.0977839
Aggies	0.0976127
matador	0.0972182
"St. Louis"	0.0971159
"Nashville Predators"	0.0968423
"Detroit Lions"	0.0965795
Royals	0.0965221
"San Francisco @@ers"	0.0963753
coyote	0.0960436
"Calgary Flames"	0.0959414
king	0.0955565
"Florida Marlins"	0.0953805
"Tennessee Titans"	0.0951832
"Chicago White Sox"	0.0950151
"Maple Leafs"	0.094987
Baltimore	0.0948972
devil	0.0947445
"Michigan State"	0.0946706
"Anaheim Angels"	0.0946544
Miami	0.094494
"Tampa Bay Devil Rays"	0.0943519
Blackhawks	0.094179
"Montreal Expos"	0.0939859
"Houston Astros"	0.0937659
Steelers	0.0937367
Sooners	0.0935017
"Baltimore Orioles"	0.0932873
))
(clipping (desc 8281.44) (sims
"newspaper clipping"	0.133224
"written material"	0.0748446
"historical document"	0.0686128
pamphlet	0.0653006
clip	0.0607173
postcard	0.0582844
scrapbook	0.0572432
poster	0.0533042
"newspaper article"	0.0530244
"slip of paper"	0.0529675
"news article"	0.052293
seaweed	0.0515524
mulch	0.0513073
"human waste"	0.0512481
"packing material"	0.0509894
"baseball card"	0.0508438
"business card"	0.0507773
excerpt	0.0507071
diary	0.0503325
manuscript	0.0500321
"film clip"	0.049889
"greeting card"	0.0496655
printout	0.049361
"magazine article"	0.0492105
paragraph	0.0489574
transcript	0.0486434
correspondence	0.0484967
booklet	0.0482131
archive	0.0470393
wastewater	0.0467573
memento	0.046714
"sheet music"	0.0461915
snippet	0.0461828
sidebars	0.0461731
worksheet	0.0461689
"personal letter"	0.0458496
"literary work"	0.0458096
"computer file"	0.0452416
Garbage	0.0450411
byte	0.0448018
brochure	0.0447107
scraps	0.0446063
"tree branch"	0.0441384
tidbit	0.0440208
detritus	0.0439703
snapshot	0.0438969
postings	0.0438878
documentation	0.0436836
"trading card"	0.0434324
photocopy	0.0432411
"computer code"	0.0429879
"bowling ball"	0.0429747
compost	0.0428942
blurb	0.0428639
essay	0.0428388
hydrangea	0.0428138
"pen pal"	0.042531
"ticket stub"	0.0425177
collage	0.0424622
"news story"	0.0424001
memorabilia	0.0423666
footage	0.0423408
"Christmas card"	0.042007
cookbook	0.0419917
Masa	0.0419556
guidepost	0.0419555
debris	0.0418352
cassette	0.0415845
"compact disk"	0.0415788
"birthday card"	0.0415575
"sheet of paper"	0.0415514
manual	0.0413939
manure	0.0411538
ornament	0.0411274
eggshell	0.0410421
keepsake	0.0409667
topsoil	0.0408871
periodical	0.0406843
anecdote	0.0404671
tome	0.0403876
"legal document"	0.0401438
"news bulletin"	0.0400011
))
(clique (desc 12773.7) (sims
coterie	0.0934526
cabal	0.091634
"pressure group"	0.0846842
oligarchy	0.07333
government-in-exile	0.0699573
clan	0.0689117
gang	0.0688712
"inner circle"	0.0676406
sect	0.0676186
cadre	0.0660378
faction	0.064672
"Colorado Party"	0.0643984
militia	0.0623819
"Kurdistan Workers Party"	0.0619387
"social group"	0.0610341
"Muslim Brotherhood"	0.0589309
"Democratic Unionist Party"	0.0577674
"secret society"	0.0568873
"Islamic Jihad"	0.0559297
outcast	0.0550142
regime	0.0544777
lama	0.0544184
elite	0.0539001
gaggle	0.0537912
"school of thought"	0.0537369
"Rwandan Patriotic Front"	0.0533847
cult	0.0522316
"Awami League"	0.0504316
"Bharatiya Janata Party"	0.0500235
"political party"	0.0496785
handful	0.0496409
"graduating class"	0.0495813
grouping	0.0493682
retinue	0.0489835
"lynch mob"	0.0487602
militant	0.048736
schoolmate	0.0487324
troika	0.0484061
troupe	0.0481231
posse	0.0481088
tribe	0.0479909
Lakas-NUCD	0.0479514
sorority	0.0478608
"Parti Quebecois"	0.0478431
clergy	0.0476999
subculture	0.0476984
"Albanian Kosovo Liberation Army"	0.0475606
"reform movement"	0.0474694
"Orthodox Church"	0.0473759
Hezb-i-Islami	0.0473457
Mullah	0.0472332
"Abu Sayyaf"	0.0467521
"Socialist Party"	0.0466965
"Congress Party"	0.046366
"Center Party"	0.0461349
Mafia	0.0460066
subgroup	0.0458865
"work group"	0.0458114
hierarchy	0.0457886
"Armed Islamic Group"	0.0457128
stratum	0.045355
MNLF	0.0448859
auxiliary	0.044838
"ethnic group"	0.0448371
"popular front"	0.044797
fraternity	0.044732
"Eric Harris"	0.0447256
"Liberation Tigers"	0.0446356
"Islamic Resistance Movement"	0.0443051
"core group"	0.0442761
"working group"	0.0438669
"religious order"	0.0438351
caste	0.0437954
"search committee"	0.0437104
contras	0.0436867
"political movement"	0.0435421
stereotype	0.0434587
bloodbath	0.0433758
MILF	0.0430477
"Serbian Orthodox Church"	0.0430427
legion	0.0430334
entourage	0.043024
KNU	0.0428963
"Kenya African National Union"	0.0428704
"religious movement"	0.0428348
rebellion	0.0427999
"military unit"	0.0426997
syndicate	0.0426484
LTTE	0.0426001
"task force"	0.042483
clergymen	0.0423845
"professional association"	0.0422558
separatist	0.0422355
"trade union"	0.0421845
"Institutional Revolutionary Party"	0.0421673
junta	0.0421514
right-winger	0.0421495
cartel	0.0420588
hardliner	0.0420119
Meretz	0.0419661
guerrilla	0.0418661
mob	0.0417137
guerilla	0.0416834
"Likud Party"	0.0416489
"Indonesian Democratic Party"	0.0415696
"National Front"	0.0415298
entity	0.0413377
"Conservative Party"	0.0413005
KLA	0.0412366
"Dalai Lama"	0.0411885
NLD	0.0411738
Teng-hui	0.0410856
"National Liberation Army"	0.0410711
"Liberal Democrats"	0.0410385
"Palestine Liberation Organization"	0.0409904
socialist	0.0409615
conspiracy	0.0408706
insurgent	0.0408702
crosscurrent	0.0407712
"National Resistance Movement"	0.0407619
contingent	0.0404507
"National Party"	0.0402703
nationalist	0.0402437
platoon	0.0401759
"Northern Alliance"	0.0400205
trio	0.0400191
MQM	0.0400001
))
(clitoris (desc 1293.99) (sims
vagina	0.134966
genital	0.0999358
"ring finger"	0.0791086
thyroid	0.0763256
toenail	0.0762983
penis	0.0754967
hourglass	0.0747501
prostate	0.073948
"prostate gland"	0.0719253
ovary	0.0718819
tonsil	0.069848
feistiness	0.0690657
fetus	0.0650988
"umbilical cord"	0.0642124
"heart muscle"	0.0640947
gallbladder	0.0611501
victimization	0.0597943
larynx	0.0597277
PDA	0.0595398
ballast	0.0590439
gland	0.0585119
underpants	0.0584333
genitals	0.0583848
"Everglades National Park"	0.0577013
keel	0.0575816
Canty	0.057191
"malignant tumor"	0.0566971
dyslexia	0.0566909
mitzvah	0.0564578
gallstone	0.0563232
"cash crunch"	0.0560866
"lymph node"	0.0553728
bladder	0.0550627
"shipwreck survivor"	0.0549606
"foster mother"	0.0547153
schoolwork	0.0545654
nipple	0.0543999
uterus	0.054096
nuclei	0.0527753
testicle	0.0523845
impurity	0.0519574
"cancer cell"	0.0510898
retina	0.0509948
"trust account"	0.0507833
overexposure	0.0500705
"little finger"	0.0498092
"Homo sapiens"	0.0491462
placenta	0.0490467
"internal organ"	0.0490151
"name tag"	0.0486493
spec	0.0486214
Sund	0.0484855
extremity	0.0482452
peregrine	0.0481475
"breast implant"	0.0480303
midriff	0.0478845
"wedding cake"	0.0475529
polyp	0.0474849
"stage name"	0.047482
Lessig	0.0473122
"life vest"	0.0472612
"man's body"	0.0471084
Zonolite	0.0469449
Whiting	0.0465527
cannonball	0.0465006
Iger	0.0464055
"neck brace"	0.0461025
"solar system"	0.0460493
"cocktail dress"	0.0459189
mammography	0.0457713
braid	0.0457659
melanoma	0.0453517
"air bubble"	0.0453054
housework	0.0449659
"brain tumor"	0.0449498
"human race"	0.0448673
sunburn	0.0447344
Seizinger	0.0445402
eavesdropper	0.0444094
zag	0.0443959
slipcover	0.0443687
pratfalls	0.0442696
panty	0.0442356
"blood clot"	0.044
"hearing aid"	0.0437458
"short ribs"	0.0437276
housemates	0.0436622
trashing	0.0436466
individualist	0.0433065
"kidney stone"	0.0432743
"foster parent"	0.0431921
"dead animal"	0.0429486
"writing style"	0.042916
ignominy	0.0428931
pancreas	0.0428919
eyelid	0.0426256
"large intestine"	0.0422854
molar	0.0422388
rigidity	0.0422285
crotch	0.0421908
appendix	0.0420808
"balanced diet"	0.0417069
Presense	0.0415709
buttock	0.0415692
flamboyance	0.0415407
hyphen	0.0415184
fingernail	0.0414274
"white blood cell"	0.0412609
"golf bag"	0.0412544
"private corporation"	0.0411582
wristband	0.0409691
"business cycle"	0.0409587
spleen	0.0409495
"life preserver"	0.0408829
"guardian angel"	0.0408338
"Defense Fund"	0.0407461
pacifism	0.040744
udder	0.0406957
rollovers	0.0405486
"feast day"	0.040488
headrest	0.040398
spillage	0.0401937
"hind leg"	0.0400034
))
(Clive (desc 931.17) (sims
"Van Sant"	0.0817054
"Union City"	0.0812474
Weil	0.078077
Knievel	0.0652565
Mitterrand	0.0646727
Hartwig	0.0632205
Stratford	0.0593157
Clint	0.0584268
Braugher	0.0562858
Puzo	0.0561933
Meston	0.0553018
Caray	0.0551629
"Nuclear Regulatory Commission"	0.0539853
Villalonga	0.0525302
"Israeli Cabinet"	0.0519635
Caltrans	0.051625
Stith	0.0513867
Zabar	0.0513251
Konstantinov	0.0510229
Vonnegut	0.0509129
Dahmer	0.050695
Crocker	0.0498387
Lagerfeld	0.0494418
Willard	0.0494396
Blackman	0.0483328
Willy	0.0471723
Deane	0.0469808
Capps	0.0466327
Yoon	0.0465773
Chappell	0.0464498
Feerick	0.0456885
"Philippine Senate"	0.0456883
Postel	0.0454695
Quebecers	0.045233
Gores	0.0445442
Affleck	0.0443704
Craxi	0.0442202
Lollar	0.0442196
Gosper	0.0438194
SJC	0.0437185
Burroughs	0.0437158
IDT	0.0434486
Shoate	0.0431772
Brogna	0.0425514
Dragila	0.0421768
Heaney	0.0421105
Zapruder	0.0417536
Lazaro	0.0417245
Pryor	0.0416318
Matthau	0.0415421
Hevesi	0.0414819
Masur	0.0413571
pharaoh	0.0412872
Blackmun	0.0412596
Nanula	0.0411306
Raduyev	0.0410114
Kurosawa	0.0408163
"Griffith Joyner"	0.0407762
Folsom	0.0406412
"La Mont"	0.0405388
Eichmann	0.0404328
Zhivkov	0.0403991
Dodik	0.0402459
Kerouac	0.040208
Puente	0.0400231
))
(cloak (desc 8442.36) (sims
veil	0.183395
robe	0.147591
overcoat	0.142386
shawl	0.118705
shroud	0.112169
turban	0.101217
Sari	0.0976586
scarf	0.0972047
raincoat	0.0947066
headdress	0.0940399
waistcoat	0.0940207
Cape	0.0930854
pantsuit	0.0897114
coat	0.088893
garb	0.0878255
gown	0.0874802
skirt	0.0868749
Poncho	0.0867662
bandanna	0.0865875
bandana	0.0858282
miniskirt	0.0848175
tunic	0.0846776
Sash	0.0833428
wig	0.08313
"boxing glove"	0.0828123
blinder	0.0821616
sheath	0.0815137
veneer	0.0815031
"felt hat"	0.0803472
"cocktail dress"	0.0803188
kilt	0.0798528
headband	0.0796954
"prayer shawl"	0.0793206
jacket	0.0792488
tuxedo	0.0777904
"life vest"	0.0777856
apron	0.0777025
kimono	0.077687
"feather boa"	0.0770611
headgear	0.0769752
fedora	0.0764862
aura	0.0764519
beret	0.0763044
"cowboy hat"	0.0761662
trouser	0.0752918
curtain	0.0749631
mitten	0.07482
yarmulke	0.0742971
mask	0.0742579
vest	0.0740558
"pants suit"	0.0739187
"dress shirt"	0.0738041
"trench coat"	0.0737972
hat	0.0737514
blanket	0.0737411
jumpsuit	0.0735016
goggles	0.0732958
skullcap	0.0730352
parka	0.072973
"business suit"	0.0729554
"evening dress"	0.0727368
smock	0.0726351
"hard hat"	0.0724569
"fur coat"	0.0723811
sweatshirt	0.0723802
coverall	0.0722822
"evening gown"	0.0720308
"bow tie"	0.0693392
caftan	0.0686306
patina	0.0683831
shirt	0.0683119
mantle	0.0682905
Bonnet	0.0682813
tights	0.0682174
sweater	0.0681208
"dark glasses"	0.0674256
pant	0.0672786
finery	0.0671982
cardigan	0.0671571
knickers	0.0670454
tux	0.0669305
bunting	0.0665011
halter	0.0663881
"ball gown"	0.0662322
"leather jacket"	0.0650968
sock	0.0648645
cocoon	0.0646941
brassiere	0.0642318
ribbon	0.0637473
armband	0.063509
"cowboy boot"	0.0634388
bodice	0.0631948
"military uniform"	0.0628942
pall	0.0622894
corset	0.0620536
"wedding dress"	0.0620264
BOA	0.0619162
"mink coat"	0.0617388
sunglasses	0.061596
sandal	0.0615674
"top hat"	0.061128
"straw hat"	0.0610022
pillowcase	0.0608472
bellbottoms	0.0607853
nightgown	0.0607357
"sports jacket"	0.0603896
"dress uniform"	0.0603716
undershirt	0.0602411
blinker	0.0600211
corduroy	0.0596069
"hot pants"	0.0594642
legging	0.0593122
"ski mask"	0.0591066
modicum	0.0588004
scrim	0.0584944
satin	0.0582151
glove	0.0580138
costume	0.0578399
"sweat pants"	0.0576592
loincloth	0.0576131
garment	0.057597
sarong	0.0575866
"neck brace"	0.057509
slack	0.0575069
STETSON	0.0574631
velvet	0.0573882
camouflage	0.0571494
bodysuit	0.056384
"life jacket"	0.0563299
blouse	0.0562383
"a few pounds"	0.0561708
visor	0.0561522
"face mask"	0.0560618
bandage	0.0558783
"tennis shoe"	0.0557408
pantyhose	0.0555216
Hood	0.0554463
necktie	0.0554272
G-string	0.0554132
"bowler hat"	0.0553463
pinstripes	0.0552147
stocking	0.0552042
"baseball cap"	0.0551426
armor	0.0549584
"piece of cloth"	0.0548766
Beard	0.0548321
pullover	0.0547199
pajama	0.0545217
boot	0.0544736
streamer	0.054432
slipper	0.0543767
gauze	0.0543595
handkerchief	0.0543107
frock	0.0542294
miniskirts	0.0541439
"body armor"	0.0539613
swimsuit	0.0538206
taffeta	0.0537715
leotards	0.053549
windbreaker	0.0532535
umbrella	0.0530553
chiffon	0.052922
denim	0.0520371
banner	0.0519309
bathrobe	0.0517634
tarpaulin	0.051703
jersey	0.0514862
suspender	0.0514815
helmet	0.0513995
pajamas	0.0513743
turtleneck	0.0513561
"rubber boot"	0.0512216
moustache	0.0511631
bustier	0.0509437
attire	0.0507912
eyeliner	0.0505674
"nail polish"	0.0505545
jean	0.0505321
sleeve	0.0502656
"bulletproof vest"	0.0500926
Halo	0.0498952
vestment	0.0498554
wristband	0.0497499
handbag	0.049696
tiara	0.0494779
eyeshadow	0.0493076
spear	0.0492594
husk	0.0492313
"dog tag"	0.0490371
slacks	0.048886
Thong	0.0488751
upholstery	0.0488669
"stiletto heel"	0.0487133
blazer	0.0486478
tarp	0.0485977
"wedding gown"	0.0484969
mustache	0.0484771
sneaker	0.0482863
lapel	0.0481023
"black tie"	0.0480398
))
(clock (desc 61357.7) (sims
screen	0.0830583
calendar	0.0803459
timer	0.0785445
camera	0.0754956
"alarm clock"	0.0736921
Computer	0.0705657
scoreboard	0.069595
machine	0.0687147
lamp	0.0683216
furniture	0.0674386
"television set"	0.0655198
device	0.0634764
monitor	0.0634349
ball	0.0630505
toy	0.062773
card	0.0626754
switch	0.0601815
phone	0.0597542
appliance	0.0595184
VCR	0.0593731
box	0.0592729
light	0.0588086
"sewing machine"	0.0587335
"video screen"	0.0587328
jewelry	0.0587014
table	0.0580209
wheel	0.0577937
telephone	0.0575902
countdown	0.0573381
"tv set"	0.0567399
TV	0.0564572
refrigerator	0.0564317
mirror	0.0563594
thermostat	0.0563097
button	0.056065
chip	0.0559859
"picture frame"	0.055926
"free throw"	0.0555715
calculator	0.055065
meter	0.0548264
equipment	0.0547856
modem	0.0547746
microprocessor	0.0545007
system	0.0544357
map	0.054337
antenna	0.0536855
typewriter	0.0532018
mouse	0.0530345
accessory	0.0530175
instrument	0.05289
statue	0.0527701
sensor	0.0524283
television	0.0522969
thermometer	0.0522312
plaque	0.0521744
wristwatch	0.0521102
scanner	0.0520113
rug	0.0518085
radio	0.0517045
sculpture	0.0516247
recorder	0.051383
software	0.051249
poster	0.0510397
circuitry	0.0509617
lantern	0.0507312
item	0.0504096
car	0.0503433
conditioner	0.0502716
furnishings	0.0496428
candle	0.0496187
chair	0.0496113
printer	0.0495413
tool	0.0494058
bicycle	0.0493939
detector	0.0492782
shot	0.049232
window	0.0492272
ornament	0.049161
frame	0.0490257
wall	0.048998
tape	0.0488382
plate	0.0487602
electronics	0.0482637
date	0.0482191
vase	0.0482172
processor	0.0481471
"household appliance"	0.0481216
engine	0.0480749
PC	0.0480724
cloth	0.0480597
bench	0.0480176
picture	0.0479382
basket	0.0478008
keyboard	0.0477868
object	0.0477591
desk	0.0477363
glass	0.0476996
toilet	0.0476016
carpet	0.0475321
video	0.0475206
shoe	0.0474553
"personal computer"	0.0473087
motor	0.0472262
BIOS	0.0472165
"greeting card"	0.0470831
machinery	0.0470024
ceramic	0.0469957
shelf	0.0466652
pad	0.0466446
stereo	0.0466426
gadget	0.0466221
gun	0.0464816
tree	0.0464253
"power play"	0.0463843
Robot	0.0463588
boat	0.0463202
doll	0.0462338
"cellular phone"	0.0459325
microphone	0.0458673
Pottery	0.045739
Coin	0.04566
horse	0.0456452
model	0.0456296
layup	0.0455186
"CD player"	0.0454377
ceiling	0.0453551
"musical instrument"	0.045303
painting	0.0452849
"tape recorder"	0.0451689
Tower	0.0450566
generator	0.04497
billboard	0.0448828
chart	0.0448535
"light bulb"	0.044739
door	0.0447236
antique	0.0447215
server	0.0445656
vehicle	0.0444063
course	0.0443914
decoration	0.044233
tire	0.044204
"home appliance"	0.0441534
stove	0.0441116
timeout	0.0440966
board	0.0440454
disk	0.0440206
radar	0.0439427
net	0.0439417
"field goal"	0.0437757
Lighting	0.0437625
"traffic light"	0.0437578
"hearing aid"	0.0437334
battery	0.0436882
data	0.0436042
structure	0.043591
pattern	0.0433829
dial	0.0433724
tile	0.043269
piece	0.04322
"operating system"	0.0431977
pen	0.0431398
carving	0.0431123
filter	0.0430438
airplane	0.0429863
wallpaper	0.0429825
"electronic device"	0.0429783
quilt	0.042874
cap	0.042861
laptop	0.0426512
"sound system"	0.0425888
alarm	0.0424506
heater	0.0424379
"computer screen"	0.0422725
"disk drive"	0.0422459
air-conditioning	0.042211
CD	0.0421865
fountain	0.0421134
truck	0.0420888
material	0.0420762
hardware	0.0420605
air-conditioner	0.0419782
pager	0.0418711
"consumer electronics"	0.0418386
pipe	0.0417756
hook	0.0417041
component	0.0415281
scaffolding	0.0414969
flag	0.0413848
music	0.0413716
gear	0.0412624
image	0.0412464
bike	0.0411431
"each other"	0.0410726
"memory chip"	0.041067
plane	0.0410564
Projector	0.0409865
automobile	0.0409648
pin	0.0409355
mural	0.0409232
valve	0.0408997
))
("clock radio" (desc 1787.09) (sims
"alarm clock"	0.120832
toaster	0.102716
PDA	0.101859
"microwave oven"	0.0980544
"CD player"	0.0918015
wristwatch	0.0866065
"tape player"	0.0857235
"stereo system"	0.0814639
"pocket watch"	0.0782674
VCR	0.077917
"television set"	0.0770176
"kitchen appliance"	0.0747854
wastebasket	0.0717714
"hair dryer"	0.0707761
"hot plate"	0.0679995
stereo	0.0670961
decoder	0.0665099
"lip balm"	0.066091
copier	0.0650975
"cassette recorder"	0.0650461
"electronic equipment"	0.0645637
beepers	0.0641256
"side chair"	0.062493
"gasoline pump"	0.0623064
pager	0.0605289
"laptop computer"	0.0603301
"pinball machine"	0.0596579
sunroof	0.0595705
dishwasher	0.0591838
"cassette player"	0.0591111
cassette	0.0578195
"consumer electronics"	0.0577731
"tv set"	0.0574957
Walkman	0.0572652
"PT Cruiser"	0.0560385
"line of work"	0.0558938
"TV dinner"	0.0558816
"fax machine"	0.0554215
"sewing machine"	0.054615
"caller ID"	0.0538571
"hand-held computer"	0.0530475
"charge card"	0.0528119
"household appliance"	0.0526919
camcorder	0.0522351
"audio system"	0.0522178
thermostat	0.0520109
"rescue equipment"	0.0518216
workstation	0.0512623
conditioner	0.0511434
recliner	0.0508895
"washing machine"	0.0507674
"Palm Pilots"	0.0506214
"portable computer"	0.0505341
"heating system"	0.0501558
camcorders	0.049795
"laundry detergent"	0.0496441
"water heater"	0.0490809
air-conditioner	0.0489445
fave	0.0485147
pagers	0.0483793
"chess game"	0.0483786
"scoring system"	0.0472409
"videocassette recorder"	0.0470259
"coffee pot"	0.046938
"garbage can"	0.0468885
hatchback	0.0468834
"radio set"	0.046859
iBook	0.0466669
pastrami	0.0464832
"laser printer"	0.0464666
"communications service"	0.0463103
"chain saw"	0.0461328
"user fee"	0.0460556
videophone	0.046046
"color television"	0.0457583
kitchenette	0.0454761
"ball club"	0.0454302
pantyhose	0.045304
"price list"	0.0452528
"automatic teller machine"	0.0450972
mainframe	0.0450053
armoire	0.0446395
"Playstation II"	0.0446073
"baseball glove"	0.0445309
Powerbook	0.0444153
beeper	0.0444133
"time machine"	0.0441747
"Sony Playstation"	0.0439081
"benefit program"	0.0438838
"steel plate"	0.0438059
"cellular telephone"	0.0437062
"software product"	0.0436775
denture	0.0435228
bluejeans	0.0432099
gizmo	0.0430282
rosary	0.0429034
moisturizer	0.0426928
"kerosene lamp"	0.0426463
megaplexes	0.0425423
ESCALADE	0.0424093
clocks	0.0423119
"word processor"	0.0420624
"tote bag"	0.0420595
"odds and ends"	0.0419547
"train ticket"	0.041765
"line of business"	0.0416135
urinal	0.0415813
headstone	0.0413938
snowboard	0.0413323
"test equipment"	0.0411356
"ballpoint pen"	0.0410683
PlayStation	0.0409524
Prius	0.0408835
blender	0.0405194
"patrol ship"	0.0405045
washer	0.0404876
eraser	0.0404826
"entitlement program"	0.0403511
"office furniture"	0.0403287
"Chevrolet Suburban"	0.0402069
"tape measure"	0.0401635
"Land Cruiser"	0.0400635
"reference work"	0.0400321
))
("clock tower" (desc 2067.53) (sims
"water tower"	0.139229
steeple	0.126442
"Ferris wheel"	0.112262
"bell tower"	0.105796
minaret	0.0969654
edifice	0.09316
smokestack	0.0919644
cupola	0.0908455
atrium	0.0904372
Lighthouse	0.0845203
spire	0.0811827
rotunda	0.0798921
"athletic facility"	0.0791871
silo	0.0784209
Obelisk	0.0761007
scaffold	0.0741491
"stone wall"	0.0704147
"sailing ship"	0.0683664
sloop	0.0675521
chip-in	0.066441
"apartment house"	0.0660262
"manor house"	0.0658871
"Easter bunny"	0.0656923
"house of worship"	0.065105
"pipe organ"	0.0646256
seawall	0.0636301
"bank building"	0.063416
skyscraper	0.0631672
Butte	0.0624293
"piece of cloth"	0.0622969
powerboat	0.0622483
"fire wall"	0.0619412
"bathroom fixture"	0.061937
waterfall	0.0615822
pagoda	0.0614996
tarantula	0.0614784
"sailing vessel"	0.0603067
"boxing glove"	0.0599811
topiary	0.0594554
wingspan	0.0594312
catamaran	0.0594216
walkway	0.0593792
filigree	0.0581541
Camaro	0.0578635
stoplight	0.0578175
portico	0.0576611
"chip shot"	0.0573741
"telephone exchange"	0.0570551
mock-up	0.0563354
"office block"	0.0562903
schooner	0.0562717
chaise	0.0558641
"water plant"	0.0556385
schoolhouse	0.0554422
firehouse	0.0552248
"Eiffel Tower"	0.0547781
staircase	0.0543791
"sewage system"	0.0533103
livery	0.0532486
skylight	0.0531176
"New Carissa"	0.0528805
"slave ship"	0.0526734
high-rise	0.0525402
mast	0.052328
storefront	0.0522687
turret	0.0521455
"ventilation system"	0.0520151
"tile roof"	0.0517676
"mobile home"	0.0516307
"endowment fund"	0.0514735
flagpole	0.051203
"soda fountain"	0.0511694
led	0.0511399
"fire station"	0.0506707
"mink coat"	0.0503546
"radio telescope"	0.0499629
plume	0.0497811
pedestal	0.0496774
"cabin cruiser"	0.0495297
moat	0.0494068
folkways	0.0492982
sailboat	0.0490586
"ranch house"	0.0490343
typeface	0.0489812
"bank rate"	0.0488743
bandana	0.0487889
"house of cards"	0.0487334
"stained-glass window"	0.0487116
"ping-pong ball"	0.0482547
bandanna	0.0477165
"oil rig"	0.0475718
teahouse	0.0474501
woodwork	0.0473851
"telephone booth"	0.047277
"architectural style"	0.0469978
Palazzo	0.0469725
"exhibition hall"	0.0465315
treehouse	0.0464198
streetlight	0.0460841
"sewer system"	0.0460133
planetarium	0.0460033
pompom	0.0458384
cistern	0.0458353
"warning light"	0.0455536
kiosk	0.0453643
Canopy	0.0453075
menorah	0.0452401
tenement	0.0452254
airball	0.0451872
"ocean liner"	0.0450525
"rooming house"	0.0450219
chimney	0.0449845
patio	0.0449041
splotch	0.0448525
Fez	0.0447237
fortress	0.0444981
wrister	0.0439185
"botanical garden"	0.0438778
gasket	0.0438688
tugboat	0.0434157
windmill	0.043285
impatiens	0.0432176
neon	0.0429443
"telephone pole"	0.042837
frieze	0.0428099
transformer	0.042799
wristband	0.0425442
giraffe	0.0424801
"cooling system"	0.0424311
pompadour	0.0423844
"wine cellar"	0.0423305
granary	0.042308
"Ford Mustang"	0.0422548
"mainframe computer"	0.0422207
Lari	0.042116
"assembly hall"	0.0420276
doorbell	0.0416764
"water tank"	0.0416731
"pool table"	0.0416601
"bow tie"	0.0416448
trestle	0.0415984
dorm	0.041558
"order book"	0.0414574
sinkhole	0.0413327
"town house"	0.0411032
beany	0.0410289
scaffolding	0.0410259
outhouse	0.0410064
guardrail	0.0409702
tricolor	0.0408507
"wedding party"	0.040767
"heating system"	0.0407551
"resort hotel"	0.0405131
hangar	0.0404723
parachutist	0.0404568
"cargo container"	0.0402349
"Ford Taurus"	0.0402155
awning	0.0402018
"suburban area"	0.0401956
"wedding cake"	0.0401852
"cowboy hat"	0.0401208
webcams	0.0400847
))
(clocking (desc 12501.8) (sims
"world record"	0.140069
finishing	0.0817031
"Kim Batten"	0.0805505
"Colin Jackson"	0.0774363
lap	0.0773692
"Donovan Bailey"	0.0756035
freestyle	0.0748895
hundredth	0.074669
"finishing line"	0.0726618
backstroke	0.06693
breaststroke	0.066396
"Gail Devers"	0.0650768
"Maurice Greene"	0.0645595
"Frankie Fredericks"	0.0630666
relay	0.0608307
Klim	0.0603441
career-best	0.0594079
one-two	0.0577843
"Hiroyasu Shimizu"	0.0570709
knockout	0.0563724
"Noureddine Morceli"	0.0562342
"Ian Thorpe"	0.0547113
medley	0.0545327
"Inge de Bruijn"	0.0542261
fastest	0.0542255
"Denis Pankratov"	0.0537963
"Inger Miller"	0.0533791
"Michael Johnson"	0.0512022
"Jenny Thompson"	0.0508396
margin	0.0507178
"Irina Privalova"	0.0492471
"Sandra Voelker"	0.0487508
bronze	0.0473162
butterfly	0.0468244
second-fastest	0.0463472
"Martina Ertl"	0.0460611
"world record-holder"	0.0457902
marathon	0.0446046
finisher	0.0441218
aggregate	0.043543
preliminary	0.0432404
"Allen Johnson"	0.0431294
"Le Jingyi"	0.0430899
"Tom Dolan"	0.0428742
Krayzelburg	0.0424664
placer	0.0424664
hurdle	0.0423186
Devers	0.0415441
shutout	0.0414174
"Daniel Komen"	0.0413122
swimmer	0.0412438
"five points"	0.0407002
"long jump"	0.0404929
double-double	0.0404103
))
(clocks (desc 3202.51) (sims
"alarm clock"	0.0680761
rug	0.0589609
readout	0.0566693
chandelier	0.0559167
wallpaper	0.0540036
"lighting fixture"	0.0528953
mantelpiece	0.0526659
timer	0.0525004
"work of art"	0.0511379
tableware	0.050486
Impressionist	0.0503005
"bathroom fixture"	0.0486762
glassware	0.0482911
"water fountain"	0.0473387
lamp	0.0461526
"radio transmitter"	0.0459284
nuclei	0.0448788
webcams	0.043969
"electric motor"	0.0432874
varietals	0.0432451
motherboards	0.042717
paneling	0.0425714
hotspots	0.042351
"clock radio"	0.0423119
"piece of furniture"	0.0423053
ware	0.0420338
"cash machine"	0.0419343
"telephone set"	0.0411961
timepiece	0.0410246
meccas	0.0408186
indentation	0.0407835
diode	0.0406861
firewalls	0.040335
"subject area"	0.0403293
thermometer	0.0402589
instrumentalist	0.0402037
molding	0.0401497
))
(Clockwork (desc 1620.41) (sims
Burnt	0.0821922
"blue angel"	0.0809061
flamethrower	0.06603
"ball of fire"	0.055394
sherbet	0.0534299
"passion fruit"	0.0520514
"battering ram"	0.0510804
madman	0.0493473
molasses	0.0468428
geeky	0.0459292
"old country"	0.0438461
"Donald duck"	0.0437618
Germanic	0.0426307
Haj	0.0416279
"closed-end fund"	0.0407449
Zeus	0.0406888
))
("Clockwork Orange" (desc 1456.54) (sims
Strangelove	0.135641
Spartacus	0.0885044
"Natural Born Killers"	0.0613652
Hal	0.0575735
"Animal House"	0.0524045
oilseed	0.0500737
"Raging Bull"	0.0483846
"Eyes Wide Shut"	0.0483654
"silent movie"	0.0467938
"picture show"	0.0454308
Humbert	0.0453237
"Stars &AMP; Stripes"	0.0432536
"Rugrats Movie"	0.0431912
melding	0.0429268
Goodfellas	0.0421529
"Straight Story"	0.0420477
"Chinese Olympic"	0.0416845
"TV star"	0.0415995
"television star"	0.0402862
))
(clog (desc 1301.72) (sims
"tennis shoe"	0.128149
loafer	0.112833
Pantsuits	0.112229
"blue jean"	0.111823
"cowboy boot"	0.111008
pantyhose	0.106035
"dress shirt"	0.10091
slipper	0.099622
bluejeans	0.0995574
suspender	0.0986046
loincloth	0.0985353
"running shoe"	0.0977079
"boxing glove"	0.0976281
bellbottoms	0.0944566
"straw hat"	0.0937592
Thong	0.0912059
"bow tie"	0.089898
sneaker	0.0867202
tunic	0.0845507
sandal	0.0842239
"sweat pants"	0.0834528
"contact lense"	0.0832503
slack	0.0818666
Chino	0.0815326
underpants	0.0807991
"dark glasses"	0.0786682
tights	0.077263
"leather jacket"	0.0771816
sunglasses	0.0756756
"sports jacket"	0.0754556
cleat	0.0753307
trouser	0.0750505
turban	0.0746515
truncheon	0.07449
undershirt	0.0743319
blouse	0.0739466
miniskirts	0.0734168
bustier	0.0733835
knickers	0.0726752
khaki	0.07249
mule	0.072027
"body armor"	0.0720156
raincoat	0.071532
turtleneck	0.0712136
armband	0.0691481
cutoffs	0.0687026
eyeglass	0.0682893
dowel	0.0677049
"stiletto heel"	0.0670101
"life vest"	0.0668548
pajama	0.0658887
pullover	0.0651537
slicker	0.0650677
peregrine	0.0649457
hairpiece	0.063328
apron	0.0625101
sweatshirt	0.0616724
"neck brace"	0.0616071
"black tie"	0.0613724
"cocktail dress"	0.061345
wader	0.0610743
louver	0.0603851
"polo shirt"	0.0601895
hosiery	0.0601763
cardigan	0.0600435
sarong	0.0598511
"insect repellent"	0.0597813
"rubber boot"	0.0597718
pigtail	0.0596649
panty	0.0595483
coverall	0.0594019
"window frame"	0.0590543
docker	0.0587417
windbreaker	0.0584983
necktie	0.0584429
parka	0.0578901
corset	0.0577883
waistcoat	0.0571658
"name tag"	0.0562046
pliers	0.0557563
snowshoes	0.0555967
"felt hat"	0.0553118
trousers	0.0548176
jumpsuit	0.0548104
blinder	0.0547171
"peregrine falcon"	0.0545327
"baseball cap"	0.0545012
shawl	0.0543526
"neutron star"	0.0542772
blinker	0.0534623
"combat boot"	0.0533933
eyeshadow	0.0533429
ascot	0.0531899
"elbow room"	0.0531396
tablecloth	0.0530665
Sash	0.0526179
"chemical agent"	0.0525694
mallet	0.0524312
chopstick	0.0521605
footbridge	0.0516387
stiletto	0.0515611
kimono	0.0514577
"wall hanging"	0.0512434
Sodom	0.0512089
"shoulder pad"	0.0511506
swimsuit	0.0510146
chaise	0.0509704
"sport shirt"	0.0508431
lattice	0.0503231
"cowboy hat"	0.0501685
"hot pants"	0.0499804
prosthesis	0.0498612
pendant	0.0497442
bodice	0.0497289
"false teeth"	0.0495414
"feather boa"	0.0495125
bandanna	0.0494497
"Hello Kitty"	0.0492926
bandana	0.0492633
"tennis racket"	0.0492608
camisole	0.0492243
"life jacket"	0.0491083
frock	0.0489566
moonscape	0.0488288
BOA	0.0484798
Lei	0.0481101
"evening dress"	0.0480001
"hearing aid"	0.047672
headband	0.0476397
leotards	0.0473751
oar	0.0471067
earphone	0.0470869
headphone	0.0470174
earplugs	0.0467944
"yellow flag"	0.0467127
miniskirt	0.0466856
pillowcase	0.046525
underbrush	0.045893
gloves	0.0458103
pomposity	0.0455227
"street clothes"	0.0453798
"grocery bag"	0.0453467
plaid	0.0451967
"evening gown"	0.0451241
"baseball glove"	0.0449011
splint	0.0447053
bolero	0.0446694
legging	0.0444009
trunks	0.0443652
sheathing	0.0443576
"belt buckle"	0.0443248
mitt	0.044213
settee	0.0439982
Tutu	0.0439637
"wedding dress"	0.0439524
paintbrush	0.0436992
choker	0.0435844
Poncho	0.0430918
drumstick	0.0430796
hand-me-down	0.0429541
"pocket watch"	0.0428761
woodpecker	0.0428296
tux	0.0428164
spandex	0.0427196
co-leaders	0.0426537
cuckoo	0.0426254
seatbelt	0.0425135
tartan	0.0424893
duster	0.0424158
wristband	0.0424004
turntable	0.0423871
sportswear	0.0423803
tern	0.0423086
skullcap	0.0421117
kilt	0.0420253
sconce	0.0419971
"face mask"	0.0419574
bodysuits	0.0419257
filigree	0.0417945
"packing material"	0.0417441
"Outlook Express"	0.041696
"water pipe"	0.0416599
fedora	0.0415341
"engagement ring"	0.0413168
detritus	0.0413104
padding	0.0412896
undergarment	0.0410255
"business suit"	0.0409345
sideburn	0.0409086
shanty	0.0408765
"safety belt"	0.0407871
"nail polish"	0.0407542
"bathing suit"	0.0405651
"racing car"	0.0405203
"pants suit"	0.0403982
Stretcher	0.0401177
candlestick	0.0400539
))
(cloister (desc 2849.75) (sims
nunnery	0.113827
Convent	0.100104
Monastery	0.0791874
Basilica	0.0673297
Chateau	0.0626446
Colosseum	0.0585738
Castle	0.0578429
chapel	0.0554165
friar	0.0517498
"morality play"	0.0515586
"religious order"	0.049407
"Philadelphia Museum of Art"	0.0490891
"Museum of Natural History"	0.0489953
"manor house"	0.0482454
Versailles	0.0478546
"torture chamber"	0.0475561
"military headquarters"	0.0470149
"boarding school"	0.0468773
theologian	0.04676
"writing desk"	0.0457671
troubadour	0.0456966
"Angkor Wat"	0.0450656
Shangri-la	0.0444257
schoolhouse	0.0439386
Caritas	0.0439319
"Imperial Palace"	0.0435091
prelate	0.0429786
"general store"	0.0427167
claimer	0.0419843
"polling place"	0.0419007
hacienda	0.0417344
"San Francisco Museum of Modern Art"	0.0417336
distillery	0.0416924
crematorium	0.041407
"country house"	0.0410515
Hyatt	0.0408786
fortress	0.0406795
"school girl"	0.0404929
Pompeii	0.0404206
"art teacher"	0.0404099
"Sanctions Committee"	0.0402265
))
(clone (desc 17648.8) (sims
offspring	0.0706178
"mirror image"	0.0665158
Dolly	0.0652747
imitator	0.0618381
imitation	0.0617096
cloning	0.0595771
"life form"	0.058585
"carbon copy"	0.0577462
microprocessor	0.0577289
breed	0.0553843
mammal	0.0543675
"memory chip"	0.0543595
cell	0.0542676
microchip	0.0540944
knockoffs	0.0537093
workstation	0.0528317
copier	0.0523938
sheep	0.0516014
genomes	0.0506205
"identical twin"	0.0502769
"disk drive"	0.0498367
peripheral	0.0494106
"brain cell"	0.0491927
mice	0.0489782
"wireless telephone"	0.0486111
"trading card"	0.0485389
toy	0.0482064
Embryo	0.0480682
breeding	0.0479163
"diesel engine"	0.0473503
printer	0.047236
Robot	0.0471769
specimen	0.0467295
laptop	0.0466635
"software product"	0.0465429
doll	0.0462747
"personal computer"	0.0462049
prototype	0.0461923
"soul mate"	0.0455914
hardware	0.045587
"operating system"	0.0455553
fossil	0.0455537
calf	0.0454288
replica	0.0453236
hater	0.044943
"office furniture"	0.0448367
mutant	0.0448166
caricature	0.0446539
"word processor"	0.0444128
Gene	0.0441722
supercomputer	0.0441517
"consumer electronics"	0.043686
mainframe	0.0435433
antibody	0.0433844
Incarnation	0.0431648
reproduction	0.0430764
server	0.043043
specie	0.0428754
supercomputers	0.0426701
monkey	0.0426372
"home appliance"	0.0424631
DNA	0.0423625
semiconductor	0.0422816
PC	0.041988
"hand-held computer"	0.041777
acolyte	0.0414435
mouse	0.0414107
variant	0.0411883
Dinosaur	0.0409835
"mainframe computer"	0.0408366
Vaccine	0.0408067
"communications equipment"	0.040689
creature	0.0406866
motherboards	0.0406606
copycat	0.0406454
menagerie	0.0406274
hybrid	0.0404834
"neutron bomb"	0.0402826
))
(cloning (desc 2501.01) (sims
implantation	0.124195
genomes	0.0935458
importing	0.0908998
fallibility	0.0786224
"genetic engineering"	0.0761216
carrying	0.0750593
harvesting	0.067944
splitting	0.0678278
udder	0.0676929
intestine	0.0676287
importation	0.0653172
"corporal punishment"	0.0632048
transplantation	0.0630102
clear-cutting	0.0629387
"artificial insemination"	0.0620343
spreading	0.0592047
floatation	0.0575004
bodysuits	0.0568601
raising	0.0565892
"line drawing"	0.0563636
"fox hunting"	0.0558797
three-fifths	0.0551332
menagerie	0.0548473
sending	0.0546161
placing	0.0536646
militarization	0.0532722
rearing	0.0526154
"identical twin"	0.0525536
polygamy	0.0520975
popularization	0.0516718
blocking	0.0515958
"natural process"	0.0509298
castration	0.0509188
deletion	0.0509118
damming	0.0506336
Posting	0.0503876
finds	0.0503866
"compromise plan"	0.0500885
dispersal	0.0498881
reintroduction	0.0488478
internationalization	0.0483098
Emigration	0.047596
"John Steinbeck"	0.0473899
felling	0.0471286
womb	0.0465405
"tax change"	0.0462277
freezing	0.0458211
licensing	0.0456884
entanglement	0.0456837
test-firing	0.0455418
mushrooming	0.04543
"commercial enterprise"	0.0450884
feces	0.0450511
ordination	0.0450252
progenitor	0.0450042
ovary	0.044994
whir	0.0449009
frailty	0.04482
harnessing	0.0447183
convocation	0.0445477
retooling	0.0445399
flareup	0.0444838
uncovering	0.0443699
iteration	0.0442667
"surgical procedure"	0.0442241
grazing	0.0441198
Presense	0.044052
vending	0.0437441
"gambling casino"	0.0436169
shipload	0.0435582
hosting	0.0434273
monitoring	0.0434249
redevelopment	0.0432593
insertion	0.0431546
commercialization	0.0430842
privatisation	0.0430812
stationing	0.0429395
scattering	0.0428736
"proxy fight"	0.0427142
canvassing	0.0426989
finalization	0.0425661
"bond offering"	0.0423359
reestablishment	0.0422447
"short selling"	0.0419107
dollarization	0.041821
lifting	0.041795
taking	0.041767
cohabitation	0.0415197
tripling	0.0412731
"nervous system"	0.0411034
mixing	0.0410926
reminded	0.04091
watercraft	0.0408752
toppling	0.0408624
derivation	0.0407509
subset	0.0407356
propagation	0.0407076
cockfighting	0.0406817
spleen	0.0405563
decomposition	0.0403846
"spinal cord"	0.0403414
enslavement	0.0403365
circumcision	0.040019
))
(Clooney (desc 4853.87) (sims
Jaffe	0.121482
Sheedy	0.118977
Vogel	0.10695
Dion	0.105898
Tomlin	0.101231
Pfeiffer	0.100886
Midler	0.0954195
Henley	0.0951092
Betts	0.0930561
Grossman	0.0929256
Winkler	0.0910369
Gooding	0.0910173
Zuckerman	0.0901897
Barlow	0.0899574
Ulrich	0.0894547
Woodard	0.0888135
Boyle	0.088786
Laudrup	0.0887579
Osborne	0.0886458
Hanley	0.0879845
Duchovny	0.0869799
Ivey	0.0863613
Rosenthal	0.085246
Hickman	0.0847952
Hartman	0.0844385
Finkel	0.0843166
Leigh	0.0835088
Hartley	0.0833428
Lowry	0.083154
Hardy	0.0830614
Andreychuk	0.0828332
Horne	0.0826304
Whitsitt	0.0820564
Heche	0.0814606
Kirkpatrick	0.0813995
Spielberg	0.0813583
Nilsson	0.0812688
Macdonald	0.0812387
McDonnell	0.0807032
Russo	0.0806773
Donnelly	0.0804399
Streisand	0.0795892
Weisman	0.0792879
Triplett	0.0792724
COYNE	0.0786451
O'Donnell	0.0785518
Burnett	0.0781073
Hoch	0.078033
Sheehy	0.0778369
Reiner	0.077826
Rubenstein	0.0777947
DiCicco	0.0777857
Mckee	0.0775997
Maynard	0.0775497
McGregor	0.0772753
Gullikson	0.0767345
Lurie	0.076731
Baugh	0.0765938
Affleck	0.0765886
Meissner	0.0765778
Gifford	0.0760013
Keenan	0.0759902
Doherty	0.0757648
Tobin	0.0757563
Nicholson	0.0757539
Molinari	0.0755783
Hamlin	0.0754471
Bergeron	0.0754142
Ditka	0.0753366
Paltrow	0.0750752
Rowan	0.0749898
Rivlin	0.0749831
Evernham	0.074935
Crowe	0.074765
Britton	0.0746441
Wolff	0.0742211
Solondz	0.0739886
Eaton	0.073954
Edelstein	0.0738223
Grammer	0.0736833
Yates	0.0735591
Pierson	0.0734478
Knapp	0.0727608
Henning	0.0727099
Slocum	0.0726656
"George Clooney"	0.0726349
Hoffman	0.0725108
Schmid	0.0721692
Kaplan	0.0721114
O'Connell	0.0720577
Scruggs	0.0720107
REEVE	0.0719186
Davies	0.0716934
Moser	0.07169
bullock	0.0716438
Garber	0.0714925
Hecht	0.0714511
Simons	0.0713788
Hagen	0.0713324
Meyers	0.0711943
Travolta	0.0710011
Gilligan	0.0708164
Levine	0.0706907
Wiatt	0.0703506
Rowley	0.0700951
Spacey	0.0700017
Jeffers	0.0699883
Ryder	0.0698705
Perec	0.0698116
Stillman	0.0697428
Pearce	0.0696411
Townsend	0.069563
Hahn	0.069517
Goldin	0.0694682
O'Sullivan	0.06943
Myhrvold	0.0694071
Solis	0.0692094
Nolan	0.0692085
Maguire	0.069127
Gallagher	0.0690368
Weil	0.0689595
Duvall	0.0689379
bock	0.0688161
Talebi	0.0687369
Kearin	0.0686739
Copeland	0.0686422
Arum	0.0683215
Farley	0.0683011
Marineau	0.0680713
Eisner	0.0680642
Rowling	0.0679942
fuller	0.0679875
Streep	0.0675385
Millwood	0.0675152
Rongen	0.0673854
Roberts	0.0673747
Brosnan	0.0672972
Rahal	0.0672517
Mattingly	0.0672221
McKay	0.0671784
Newcombe	0.0671322
Ingram	0.0670092
Garrett	0.0669748
McMillan	0.066938
McDonald	0.0668265
Moran	0.0668249
McLachlan	0.0667994
Mariucci	0.0666984
Jensen	0.0664539
Watson	0.0664076
Larson	0.0663434
Krugman	0.0661993
McGinnis	0.0661481
Kurth	0.066148
Goldstein	0.0661462
Flockhart	0.0661083
Sommer	0.0659643
Cline	0.065961
lacy	0.0658422
Friedman	0.0657653
Hoddle	0.0656928
Bloch	0.0656688
Morse	0.0656575
Arbour	0.0656164
Kurtz	0.0655926
Autry	0.0654648
Judd	0.0652599
Darnell	0.0651204
Daniels	0.0651169
Carr	0.0651147
BEGAY	0.0649578
Berman	0.0648495
Eastwood	0.0648421
Richards	0.0648371
Pollack	0.0646664
Menchu	0.064656
Morley	0.0646111
Kagalovsky	0.0644548
Adler	0.0642912
Griffith	0.0642715
Davidson	0.0641956
Messier	0.0641519
Stahl	0.063982
Taymor	0.0639351
nance	0.0639233
Raitt	0.0638701
Groening	0.0638598
Guralnick	0.0638401
Hindery	0.0638151
Blanchett	0.0638003
Ono	0.0637973
Schroder	0.0637492
Cleary	0.0637293
Pearson	0.0637191
Stoneman	0.0637113
Sampson	0.0635956
Deneuve	0.0635709
Kidman	0.0635651
Reese	0.0635449
Weinberg	0.0635059
))
(Clorox (desc 2189.83) (sims
"Thermo Electron"	0.186994
Georgia-Pacific	0.155691
TYCO	0.152884
Emulex	0.150565
"Stride Rite"	0.14889
TELLABS	0.148487
Bestfoods	0.144804
COLTEC	0.14386
Healtheon/WebMD	0.143801
Starwood	0.14191
"Phelps Dodge"	0.14049
Broadcom	0.138523
"Cadbury Schweppes"	0.138297
McKesson	0.137348
RJR	0.13704
Sepracor	0.135555
Tenneco	0.133656
Pairgain	0.132873
Unilever	0.132745
Gillette	0.132702
XYLAN	0.1327
Ciena	0.131916
Nabisco	0.131909
"P&AMP;G"	0.131242
"Sara Lee"	0.131211
NiSource	0.128805
Federated	0.128235
AMR	0.126501
MiniMed	0.12579
"Knight Ridder"	0.125322
Biogen	0.125316
Maytag	0.125221
E-LOAN	0.124282
Scripps	0.123274
Tandy	0.122806
Mattel	0.122202
"Boston Scientific"	0.119981
Cadbury	0.119604
HBOC	0.119494
Hewlett-Packard	0.119421
Heinz	0.119217
Delphi	0.119217
"Gap Inc."	0.11852
"International Paper"	0.118062
"National Grid"	0.11785
Sunbeam	0.117625
"Computer Associates"	0.116923
"Ford Motor"	0.116617
"Berkshire Hathaway"	0.116316
"Johnson &AMP; Johnson"	0.116203
Litton	0.116113
NORTHROP	0.116044
Inktomi	0.115662
Aegon	0.115381
CMGI	0.114863
Weyerhaeuser	0.114634
"J&AMP;J"	0.114111
Alcoa	0.11391
Cabletron	0.113688
Cendant	0.113467
Pepsico	0.113053
Kodak	0.112734
UAL	0.112374
Merck	0.111992
"RJR Nabisco"	0.111948
Honeywell	0.111559
Autodesk	0.111142
AHP	0.110876
EMC	0.110816
Cisco	0.110639
Healtheon	0.110592
Scientific-Atlanta	0.110328
GANNETT	0.110046
SunTrust	0.109684
Warnaco	0.109311
"Bausch &AMP; Lomb"	0.108936
"Allied Signal"	0.108501
VENATOR	0.108129
Novell	0.108124
Chiron	0.107688
"Eastman Kodak"	0.107455
Nortel	0.107077
"United Technologies"	0.107074
Corel	0.106689
Kellogg	0.10654
"Dayton Hudson"	0.106385
Zapata	0.106139
REVLON	0.105488
Daimler	0.105287
"Advanced Micro"	0.105063
Halliburton	0.104964
WPP	0.104786
Genzyme	0.104781
Cabot	0.103761
IDT	0.103757
Corning	0.103131
Conseco	0.103099
RAMBUS	0.102593
PLDT	0.101373
Xerox	0.101263
"Times Mirror"	0.10096
Seagram	0.100734
Omnicom	0.100427
ALZA	0.100301
"Network Associates"	0.10017
"HBO &AMP; Co."	0.100128
Colgate-Palmolive	0.099794
Amgen	0.0996486
AutoNation	0.0995802
Norwest	0.0995767
Informix	0.09941
"Bank of Scotland"	0.09916
SmithKline	0.0990651
"Pacific Century"	0.0990032
Medtronic	0.0988133
Publicis	0.098657
"American Home"	0.0984245
BankAmerica	0.0984242
"Southern Co."	0.0980792
Compaq	0.0973528
"Times Co."	0.097284
Raytheon	0.0971238
PEOPLESOFT	0.0967515
HP	0.0964047
Motorola	0.0963805
"Rite Aid"	0.0962959
Terra	0.0962138
"JDS Uniphase"	0.0960495
CUC	0.0959879
CCE	0.0958074
"Tribune Co."	0.0956706
Genentech	0.0951203
VoiceStream	0.0949749
BCE	0.0945536
Hasbro	0.094437
"Y&AMP;R"	0.0942384
Coca-Cola	0.0941448
China.com	0.0940381
Dupont	0.0938972
Checkfree	0.0937475
NatWest	0.0936581
Aetna	0.0931991
Broderbund	0.0928924
Adelphia	0.092807
"State Street"	0.0925909
"First Union"	0.0925653
"Procter &AMP; Gamble"	0.092476
"Niagara Mohawk"	0.0924684
IAI	0.0923965
"MCI WorldCom"	0.0921732
"Nortel Networks"	0.0919135
Lucent	0.0918953
"U.S. Trust"	0.0918885
Asda	0.0917965
"Dow Chemical"	0.0909635
Citigroup	0.0909165
Alltel	0.090516
Polaroid	0.0905025
Micron	0.0904449
MetLife	0.0900887
ExciteAtHome	0.089897
Allstate	0.0893052
AIG	0.088892
Equifax	0.0888407
Symantec	0.0888273
"Ocean Spray"	0.0887517
Alcan	0.0886105
Chevron	0.088607
Vitesse	0.0884552
Penney	0.0880065
"Texas Instruments"	0.0878941
NTL	0.0877313
Wachovia	0.0875741
Deutsche	0.0870528
Providian	0.0868969
ADM	0.0868009
GTE	0.0865063
Pharmacia	0.0863714
coke	0.0863635
"Union Carbide"	0.0858778
adobe	0.0856131
PictureTel	0.0853173
Livent	0.0851582
ARCO	0.0849851
SBC	0.0848671
Mannesmann	0.0848459
"True North"	0.0847906
Gilead	0.0847562
Hilton	0.0847034
"UAL Corp."	0.084433
SkyTel	0.0842084
"Motorola Inc."	0.0839481
UAM	0.0838017
Intel	0.0834925
"Hewlett Packard"	0.0834519
SFX	0.0833531
Exxon	0.0832812
"Washington Mutual"	0.083146
Webvan	0.0831203
Monsanto	0.0830319
))
(close (desc 30459.1) (sims
Midday	0.129043
closing	0.080607
conclusion	0.0665655
beginning	0.0657871
opening	0.0644735
midmorning	0.0554651
cent	0.0484844
noon	0.0471987
"closing price"	0.046038
"one point"	0.0458089
outset	0.0453225
eve	0.044249
midnight	0.0435249
"press conference"	0.0418928
"first two days"	0.0408166
"first day"	0.0402783
))
("close call" (desc 5197.13) (sims
near-misses	0.108805
run-in	0.0998592
firsts	0.0950969
mishap	0.0940898
hiccup	0.0880413
"fatal accident"	0.0853878
misjudgments	0.0848035
miscue	0.0847706
indignity	0.0807118
"earnings disappointment"	0.0785082
gaffe	0.0772804
ballgames	0.0743383
knockdown	0.0741324
letdown	0.0740274
"great deal"	0.0739617
miscalculation	0.0730688
"good person"	0.0729842
calamity	0.0729055
"big game"	0.0720851
"power failure"	0.0706237
"loose end"	0.069974
"speeding ticket"	0.0694965
quibble	0.0691968
flare-up	0.069089
blunder	0.0686326
no-decision	0.0686084
"bad luck"	0.0682268
misconception	0.068211
pluses	0.0672043
"engine failure"	0.0669397
dustup	0.0667514
setback	0.0657037
"good story"	0.0656221
adversity	0.0653435
"word of advice"	0.0648817
irregular	0.064595
Christmases	0.0644671
"ball game"	0.0638491
curveballs	0.0630041
indiscretion	0.0629224
"black eye"	0.0623789
meltdowns	0.062243
rollovers	0.062082
miscarriage	0.06093
no-decisions	0.0608224
"heavy hitter"	0.0607589
tacklers	0.0605932
drawback	0.0600557
"hundred thousand"	0.0599483
misstep	0.0596755
hardship	0.0589122
pitfall	0.0587583
drownings	0.0587245
"breathing room"	0.0586462
glitch	0.0586117
misfortune	0.0584655
scrape	0.0583696
"Good Book"	0.0581332
misunderstanding	0.0576944
aftershock	0.0575586
eye-opening	0.0574682
"bank failure"	0.0574155
wrinkle	0.0572008
timeouts	0.0569351
cliffhanger	0.0569265
snag	0.0568217
blip	0.056774
"unfinished business"	0.0567027
embarrassment	0.0566598
malfunction	0.0564969
"great year"	0.056393
tenths	0.0562056
"pain in the neck"	0.0561607
"white elephant"	0.0560477
ribbing	0.0559786
fatality	0.0550259
"wear and tear"	0.0549256
defection	0.0547989
unpleasantness	0.0546685
"match point"	0.05453
lapse	0.0544795
subplot	0.0542773
misperception	0.0542472
no-brainer	0.0542356
"act of God"	0.0541494
stinker	0.0539838
megamergers	0.0539326
layups	0.0538972
derailment	0.0537276
slipup	0.0535802
"rate hike"	0.0535666
catastrophe	0.0535404
"management change"	0.0533388
"Subway Series"	0.0533102
trauma	0.0531114
crapshoot	0.052908
hitch	0.0525914
whammy	0.0525022
blowout	0.0523151
"day of rest"	0.0521724
"Final Fours"	0.0520879
"good weather"	0.0519478
crises	0.0519129
bombshell	0.0517691
millennia	0.0515828
snafu	0.0512772
ifs	0.0512011
faceoffs	0.0509474
skirmish	0.0508273
"guessing game"	0.0507771
caveat	0.0507524
downturns	0.0506326
"dog bite"	0.0506013
lump	0.0505657
"elbow room"	0.0505587
"hundred million dollars"	0.0504153
"job offer"	0.0503522
spacewalks	0.0502156
headache	0.0500371
no-show	0.0500062
"goose bumps"	0.0499539
"hundred thousand dollars"	0.0499479
"mouse click"	0.0499227
kink	0.0498058
spunk	0.0497008
at-bat	0.0496587
heroics	0.049506
"piece of work"	0.0494644
"Ryder Cups"	0.0494354
antsy	0.0494312
transgression	0.0493884
"reference work"	0.0493089
occurrence	0.0491496
heartening	0.0490323
inkling	0.048947
go-round	0.0488846
jibe	0.0488739
Collision	0.048849
QBs	0.0487123
"hundred years"	0.0486235
"health problem"	0.048621
doubter	0.0486119
iteration	0.0486001
zingers	0.0485821
devastation	0.0485538
scuffle	0.0484802
shocker	0.0484736
misadventure	0.0484509
aggravation	0.0484317
mismatch	0.0484216
miracle	0.0483004
humiliation	0.0482266
gripe	0.0482116
anomaly	0.048197
nightmare	0.0481817
incursion	0.0481532
stabbings	0.0481199
glimmer	0.0481117
commotion	0.0481072
"Gator Bowl"	0.0480196
miscommunication	0.0478531
"big leaguer"	0.0478508
"hot issue"	0.0478362
breakdown	0.0476789
craziness	0.0476418
"tall order"	0.0476271
misinterpretation	0.0476029
revers	0.0475554
hand-wringing	0.0474279
"modus operandi"	0.047323
"interest rate increase"	0.0472848
rainout	0.047266
slippage	0.0471611
jeremiad	0.0471393
pileup	0.0469961
"second tour"	0.0468954
dyslexia	0.0468945
carnage	0.046828
altercation	0.0467755
"safety problem"	0.0467529
distraction	0.0465097
mega-mergers	0.0464367
"solid ground"	0.0464354
"direct action"	0.0464152
"nervous breakdown"	0.0464144
cakewalk	0.0463876
shakeout	0.0463798
"natural ability"	0.0463466
"cold spell"	0.0463148
tete-a-tete	0.0462595
"panic attack"	0.04624
complication	0.046156
"two match points"	0.04611
inconvenience	0.0461035
landslide	0.046103
refusals	0.0460736
ups	0.0460644
Downer	0.0460201
takeaways	0.0458306
"Iranian POWs"	0.0457602
))
("close to @,@@@" (desc 1079.37) (sims
"close to @@,@@@"	0.242941
"nearly @,@@@"	0.198925
"up to @@,@@@"	0.197895
"almost @ million"	0.194067
"almost @@,@@@"	0.190522
"first @@@"	0.188592
"More than three million"	0.188527
"roughly @@@"	0.186115
"nearly @@@,@@@"	0.18487
"another @@,@@@"	0.184862
"roughly @,@@@"	0.184453
"Two hundred"	0.184016
"nearly @@,@@@"	0.182569
"almost @@@,@@@"	0.18195
"roughly @@,@@@"	0.174963
"roughly @@@,@@@"	0.174845
"nearly one million"	0.173278
"ten thousand"	0.167665
"about @@@ to @@@"	0.16717
"up to @,@@@"	0.166669
"Another @,@@@"	0.164095
"Nearly @.@ million"	0.161545
"Around @@@"	0.160217
"almost @,@@@"	0.15676
"over @.@ million"	0.14775
"almost @@@"	0.14765
"more than one million"	0.14575
"more than @@,@@@"	0.143332
"nearly @@@"	0.142165
"almost @@ million"	0.140301
"less than @@,@@@"	0.139276
"over @ million"	0.138869
"over @@,@@@"	0.137916
"About @,@@@"	0.136908
"up to @@@,@@@"	0.13686
"About one million"	0.135449
"Over two million"	0.135266
"less than @@@"	0.135182
"more than @ million"	0.134192
"nearly @ million"	0.132803
"Another @@@"	0.130914
"six to @@"	0.130385
"three million"	0.129757
"up to @@@"	0.129756
"another @@@,@@@"	0.129251
"Over one million"	0.128618
"over @,@@@"	0.128416
"up to six"	0.128063
"Seven million"	0.127036
Forty-four	0.126947
"more than @,@@@"	0.126837
"More than two million"	0.126641
"two to four"	0.125297
"more than @@@,@@@"	0.125124
"over @@@,@@@"	0.124174
"More than @.@ million"	0.122883
"Three hundred"	0.121069
"Around @@"	0.121018
"more than @.@@ million"	0.120954
"up to three"	0.120413
"up to eight"	0.117015
"about @@,@@@"	0.116173
"over @.@@ million"	0.115667
"up to two"	0.115584
"less than @,@@@"	0.114991
"about @@@"	0.114321
"About three million"	0.114019
"nearly @@ million"	0.111471
"another @.@ million"	0.110891
"another @ million"	0.110486
"more than @@ million"	0.108215
"more than @@@@"	0.10819
Thirty-six	0.107445
"about @.@ million"	0.105668
"over @@@"	0.105619
"about @@@,@@@"	0.105299
"five to @@"	0.104798
"up to five"	0.103651
Thirty-five	0.103459
"other @@@"	0.103394
"about eight"	0.101846
Fifteen	0.10171
"close to @@@"	0.1015
"four to five"	0.10143
Thirty-two	0.101175
"six million"	0.0996383
"up to @@ million"	0.099351
"two to three"	0.0973597
"five million"	0.0968324
"about @ million"	0.0966206
Fifty	0.0960317
"over @@ million"	0.0960235
"up to @@"	0.0955491
Thirty-one	0.0946676
"eight to @@"	0.0945808
"another @@"	0.0939983
"About @ billion"	0.0939193
Thirty-three	0.093809
"more than seven"	0.0937261
"more than four million"	0.0928279
"another five"	0.0928218
forty	0.0924646
"three to five"	0.092192
Thirty-four	0.0921555
"two million"	0.0914858
"About @.@@ million"	0.0914464
Twelve	0.0913242
twenty	0.0908728
"Four million"	0.0906292
"another nine"	0.0902289
Fourteen	0.0892556
Thirty	0.0883675
"six to eight"	0.0881616
"roughly @@"	0.0874242
Nineteen	0.0873207
SAS	0.0867155
"up to four"	0.0866931
"One Million"	0.0860278
"seven to @@"	0.0852747
"two dozen"	0.0852637
Thirteen	0.0848959
"another seven"	0.0846944
"more than eight"	0.0841906
fulltime	0.0830418
Forty-seven	0.0829102
"eight million"	0.0827168
Thirty-nine	0.0824141
"up to seven"	0.0818986
"Russian Interior Ministry"	0.0809989
"About two million"	0.080162
"about six"	0.0797638
"another six"	0.0795473
"more than @@@ million"	0.0794866
"less than five"	0.0790387
"about four"	0.0786028
"about five"	0.0776229
workfare	0.077278
"Nearly two"	0.0772273
non-Indian	0.0769434
Sixteen	0.0765248
"up to @ million"	0.0754893
Okinawan	0.0754702
sixty	0.0754401
"more than @.@ billion"	0.0752407
"four to six"	0.0751047
"nine million"	0.0745205
Ingush	0.0743971
Forty-two	0.0742006
"about @@.@ million"	0.074118
"other six"	0.0738881
"Kosovar Albanian"	0.0732384
"about seven"	0.0725589
Forty-five	0.0724335
"three to four"	0.0722782
"another three"	0.0720887
"South Vietnamese"	0.0718449
"six billion"	0.0714679
"Bosnian Muslim"	0.0713582
"more than six"	0.071329
seventeen	0.0708297
"about @@ to @@"	0.0703684
"more than four"	0.0702268
"half a dozen"	0.069795
eighty	0.068762
"about @@ million"	0.0677471
"another four"	0.0676865
"Other @@"	0.0664123
"more than five"	0.0662164
"nearly three"	0.0656473
AGL	0.0655819
"Another @@ million"	0.0654718
health-conscious	0.0648903
"turning away"	0.0648144
Rwandese	0.0643244
"More than two"	0.0638292
"More than nine"	0.0626935
"more than three"	0.0625824
"Food Lion"	0.0617672
Thirty-eight	0.061464
"close to @@"	0.060527
Gurkha	0.0604996
"more than ten"	0.0604602
Croat	0.060378
midlevel	0.0601907
plainclothes	0.0599812
first-class	0.059893
Fifty-five	0.0595234
redeye	0.0592688
"East Orange"	0.058846
"about nine"	0.0587698
"over six"	0.0585187
"another @"	0.0584301
midrange	0.0582525
"almost two"	0.0582312
Kosovar	0.0580647
non-Muslim	0.0577932
pre-@@@@	0.0574884
"Another two"	0.0569654
"less than @@"	0.0559907
"Another eight"	0.0559184
))
("close to @@" (desc 1529.36) (sims
"almost @@"	0.149579
"about @@-@@"	0.148942
"almost @"	0.145906
"less than @"	0.140215
"about @@ to @@"	0.132944
"up to six"	0.128141
"close to @@,@@@"	0.122786
"close to @@@"	0.120587
"up to @"	0.119443
"nearly @@"	0.118217
"less than @@@"	0.116949
"about @.@"	0.115789
"up to @@"	0.115663
"three to four"	0.112435
"less than @@"	0.10899
"five to @@"	0.10544
"almost @@@"	0.105348
"almost two"	0.104556
"over @"	0.100916
"more than eight"	0.100514
"about four percent"	0.0994075
"about seven"	0.0971741
"up to @@@"	0.0943131
"about @.@@ percent"	0.0935359
"nearly @"	0.0913285
"less than five percent"	0.0906007
"About @ billion"	0.0903518
"less than @,@@@"	0.0901806
"four to five"	0.0899978
"less than @.@ percent"	0.0881747
"roughly @@"	0.0881467
"about @@@ to @@@"	0.0858444
"more than one million"	0.0850741
"Nearly two"	0.0839531
"about five"	0.0833741
"More than two"	0.0832391
"two to three"	0.0824496
"about three percent"	0.082174
"roughly @,@@@"	0.081159
"eight to @@"	0.0808172
"more than five"	0.0806126
"about @.@ billion"	0.0802243
"up to three"	0.0801517
"up to @@,@@@"	0.079727
"almost @ million"	0.0797181
Thirty-three	0.0791897
"more than @"	0.0790559
"less than @@,@@@"	0.0775409
"nearly @@,@@@"	0.0766524
"other @@@"	0.076453
"Less than one"	0.0758896
"More than @.@ million"	0.0757421
"almost @@@,@@@"	0.0749276
"two billion"	0.0747724
"eight million"	0.0746408
"nearly @@ points"	0.0743865
"roughly @@@"	0.0739945
Sixteen	0.0737289
"almost @@,@@@"	0.0736686
"more than @ million"	0.0735179
"almost @,@@@"	0.0734893
"first @@@"	0.07344
"About @@ per cent"	0.0732173
"over @@@"	0.072748
"up to eight"	0.0712748
"nearly @@@"	0.0709753
"more than @@@,@@@"	0.0708862
"another @"	0.070668
"six million"	0.0696074
"nearly @@ million"	0.0695589
"about @ million"	0.0694308
minus-@@	0.069237
"less than two"	0.0689269
two-third	0.0683778
Forty-seven	0.0683341
"seven to @@"	0.0681893
"more than seven"	0.0681259
Thirty-five	0.0677041
"roughly @@,@@@"	0.0676837
"two to four"	0.0668335
"three to five"	0.066833
"more than @@ million"	0.0665047
"more than @.@@ million"	0.0662459
"six to eight"	0.0661494
"nearly three"	0.0660557
"about two"	0.065829
Forty-two	0.0656616
"about @"	0.0655221
"about @.@ percent"	0.0653318
"Three hundred"	0.0649717
"about @@ billion"	0.0649133
"up to @ million"	0.0647593
"Another eight"	0.0647356
"about eight"	0.0646806
"about six"	0.063709
"nearly @@@,@@@"	0.0636861
one-seventh	0.0636423
"over @@,@@@"	0.0634727
"one sixth"	0.063336
"nine percent"	0.0628157
"less than one percent"	0.0628097
"about @@.@ million"	0.0622048
"more than @@@ million"	0.0621419
"half a dozen"	0.0620895
"over one-third"	0.0620559
"up to four"	0.0615047
"Over two million"	0.0614051
"six to @@"	0.061224
Thirty-four	0.0610943
"six billion"	0.0609917
"close to @,@@@"	0.060527
forty	0.0604695
"Around @@"	0.0601272
"About @@.@ percent"	0.0600179
"four to six"	0.0599022
"more than one-fifth"	0.0596839
"More than three million"	0.0596292
"more than six"	0.0595906
"six percent"	0.0588268
"up to five"	0.0579844
"up to @,@@@"	0.0579001
"about three"	0.0578555
"another three"	0.0578337
"more than @ billion"	0.0578016
Forty-four	0.0576399
"nearly @,@@@"	0.057525
"about @@ points"	0.057519
"about four"	0.0573102
"about @@ million"	0.0569752
Thirty-eight	0.0569523
"another @.@ million"	0.0568895
"up to @@@,@@@"	0.0568768
"about @@@ points"	0.0566367
"A few key"	0.0565088
"about @.@@"	0.0564901
"another six"	0.0563979
"another @ million"	0.0563962
"roughly two-thirds"	0.0556449
"over one third"	0.0553273
"roughly one-third"	0.0550294
Nineteen	0.0548545
"Another @@@"	0.0547962
"up to two"	0.0547513
"over six"	0.0546098
"Another two"	0.0544139
"more than @.@ percent"	0.0541509
"About three million"	0.0539685
"about @.@ million"	0.0539152
three-fifths	0.0537785
"one and two"	0.0537103
"more than @@ yards"	0.0535794
"nearly @ million"	0.0535134
PPI	0.0531663
sixty	0.0530036
Fourteen	0.0527545
Thirty-two	0.0526459
"another @@@,@@@"	0.0525659
"Seven million"	0.0525353
"over @@@,@@@"	0.0524059
"another @@,@@@"	0.0523962
Thirty	0.0523471
"over @.@@ million"	0.0520143
"up to seven"	0.0519148
"over @.@ million"	0.0517977
"nearly one million"	0.0513949
Belarusian	0.0513678
"more than three"	0.0511802
"more than one-fourth"	0.0510369
"nearly $@@"	0.0509334
"more than four million"	0.0509054
"Nearly @.@ million"	0.050744
"Other @@"	0.0505033
"more than ten"	0.0502004
"Two hundred"	0.0500305
"Four million"	0.0499913
"more than @@ billion"	0.0498456
"nearly one-fifth"	0.0497648
"almost @@ million"	0.04963
"about five percent"	0.049548
"Another @@ million"	0.0490408
"almost $@@ billion"	0.0490241
"other eight"	0.0484903
"nearly $@.@ billion"	0.0484886
"another seven"	0.0482423
"three million"	0.0481555
"almost one-third"	0.0478142
Mensa	0.0477523
"Over @@@ Million Dollars"	0.0477278
Thirty-one	0.0477075
centavo	0.0476523
Forty-five	0.0474492
Israeli-Arab	0.047299
"More than nine"	0.047048
"about one percent"	0.0469608
"Another @,@@@"	0.0469464
eighty	0.0469395
"nearly four"	0.0469394
"More than three-quarters"	0.0467954
"About three quarters"	0.0467754
"about two percent"	0.0467273
))
("close to @@,@@@" (desc 802.042) (sims
"close to @,@@@"	0.242941
"roughly @,@@@"	0.218546
"up to @@,@@@"	0.217233
"almost @@,@@@"	0.198742
"nearly one million"	0.198371
"nearly @@@,@@@"	0.196335
"roughly @@,@@@"	0.193643
"almost @ million"	0.188102
"almost @,@@@"	0.184842
"over @@,@@@"	0.180121
"first @@@"	0.175101
"nearly @@,@@@"	0.174805
"roughly @@@,@@@"	0.173936
"about @@@ to @@@"	0.172681
"more than one million"	0.171713
"up to @,@@@"	0.170712
"More than three million"	0.168894
"Over two million"	0.168792
"About one million"	0.164317
"over @.@ million"	0.161255
"nearly @,@@@"	0.159465
"ten thousand"	0.15883
"almost @@ million"	0.155807
"another @@,@@@"	0.154114
"nearly @ million"	0.150623
"Three hundred"	0.149779
"more than @@,@@@"	0.144695
"Another @,@@@"	0.144518
"more than @@@,@@@"	0.143347
"almost @@@,@@@"	0.142047
"Over one million"	0.141413
"More than two million"	0.141333
"About two million"	0.13971
"About three million"	0.13729
"about @@,@@@"	0.13572
"over @@@,@@@"	0.135645
"Nearly @.@ million"	0.135352
"more than @.@@ million"	0.135193
"up to @ million"	0.134289
"less than @@,@@@"	0.130144
"Seven million"	0.130112
"up to @@@,@@@"	0.128515
"over @.@@ million"	0.127711
"more than @ million"	0.126874
"over @,@@@"	0.125047
"More than @.@ million"	0.124554
"nearly @@ million"	0.124176
"more than four million"	0.124075
"close to @@"	0.122786
Thirty-nine	0.120268
"about @ million"	0.120199
"more than @@ million"	0.119109
"three million"	0.118281
Thirty-three	0.118281
"close to @@@"	0.118095
"another @@@,@@@"	0.117537
"nine million"	0.116474
"Four million"	0.115654
"eight million"	0.115446
"Two hundred"	0.113961
"up to @@@"	0.112416
"about @.@ million"	0.112183
"Around @@"	0.112151
"about @@@,@@@"	0.111591
"turning away"	0.110969
"roughly @@@"	0.110265
"more than @.@ billion"	0.10847
"another @.@ million"	0.108157
"One Million"	0.10613
"another @ million"	0.103423
"over @ million"	0.103145
"another nine"	0.101939
"six million"	0.101844
"Another @@@"	0.101716
"five million"	0.101158
"nearly @@@"	0.100482
"Around @@@"	0.100076
"more than @@@ million"	0.0997411
"up to @@ million"	0.0985457
"over @@ million"	0.0984947
"more than @@@@"	0.097886
Forty-four	0.0978676
Twelve	0.0967696
"up to eight"	0.0961379
non-Jewish	0.0955127
Thirty-five	0.0954762
Younger	0.0944666
"less than @@@"	0.0941828
"up to six"	0.090308
"about @@.@ million"	0.0888663
Nineteen	0.0881277
forty	0.0881119
"five to @@"	0.0878244
"almost @@@"	0.0873408
"about @@ million"	0.0855543
Forty-seven	0.0851353
"two to four"	0.08489
"other @@@"	0.0845494
Thirty-four	0.0843082
"Other @@"	0.082654
Thirty-six	0.0826381
Fifty	0.0822024
"up to seven"	0.0821365
"less than @,@@@"	0.082084
Thirteen	0.0807891
"up to two"	0.07918
"six to eight"	0.0791759
"two dozen"	0.0788728
"two million"	0.0782344
fulltime	0.0773819
"eight to @@"	0.076859
"Kosovar Albanian"	0.0762583
Eighteen	0.0761573
eighty	0.0741739
"Another @@ million"	0.0730313
health-conscious	0.0728676
Thirty	0.0728516
Sixteen	0.0727151
Fifteen	0.0726282
Thirty-two	0.0724749
seventeen	0.0713991
"up to three"	0.0713971
"another @@"	0.0711935
"four to five"	0.0711074
"about five"	0.0692554
Thirty-one	0.0688966
"nearly @@@ million"	0.0686264
"six to @@"	0.0684776
Thirty-eight	0.0683988
"smart aleck"	0.0683363
"another five"	0.0682764
sixty	0.0677406
"more than ten"	0.0655558
non-European	0.0655122
Kosovar	0.0648811
Forty-two	0.0645903
"about six"	0.0636321
"A few key"	0.0627434
"about @.@ billion"	0.0621871
Hmong	0.0617943
small-business	0.0616252
"South Vietnamese"	0.0614266
CPS	0.0610248
"more than @ billion"	0.0609113
"more than eight"	0.0608425
Sinhala	0.0606135
"about @@ to @@"	0.0605172
"about four"	0.0604383
Fifty-five	0.0603478
"Consolidated Edison"	0.0602727
AFA	0.0602641
"about two"	0.0600989
"less than five percent"	0.0595424
geeky	0.0594602
SAS	0.059111
"three to four"	0.0590902
"half a dozen"	0.0589601
"up to four"	0.0574009
"other six"	0.057132
nonwhite	0.0569329
"Bosnian Muslim"	0.056657
"Boys Ranch"	0.0565335
"less than five"	0.0563371
Moro	0.0562515
workfare	0.0557038
Maltese	0.0554188
"about eight"	0.0553227
"another three"	0.0551292
Forty-five	0.054802
"mentally retarded"	0.0547179
"six billion"	0.054446
commissary	0.0544254
"about nine"	0.0543139
"Three billion"	0.0542749
"three to five"	0.0541705
"up to five"	0.0541594
Fourteen	0.0539827
"more than five"	0.0539743
"about seven"	0.0536554
"other seven"	0.0529655
"Another eight"	0.0529364
Polynesian	0.0527085
Ecuadorean	0.0526825
"another four"	0.0526676
"two billion"	0.0526583
"North Korean"	0.0523766
"Medicare HMO"	0.0522295
non-Muslim	0.0522035
seventy	0.0521471
"Nearly two"	0.0518887
INTERFET	0.0518437
"About @.@@ million"	0.0517034
Rwandese	0.051555
AGL	0.0509192
non-American	0.0508432
"over @@@ million"	0.0502961
Overnite	0.0502143
"Con Ed"	0.0499916
Ingush	0.0493657
Camerounian	0.0493014
))
("close to @@@" (desc 1758.83) (sims
"up to @@@"	0.15755
"almost @@@"	0.154861
"nearly @@@"	0.144991
"up to eight"	0.137669
"nearly @,@@@"	0.135802
"about @@@ to @@@"	0.133855
"another nine"	0.13036
"about @@ to @@"	0.129111
"over @@,@@@"	0.128771
"over @,@@@"	0.125198
"more than eight"	0.125153
"close to @@"	0.120587
"over @@@"	0.119616
"close to @@,@@@"	0.118095
"Another @@@"	0.115972
"up to @@"	0.115904
"Another @,@@@"	0.11574
"four to five"	0.11418
"up to @,@@@"	0.113429
"about @@@"	0.113128
"less than @@@"	0.11224
"over @@@,@@@"	0.112199
"Three hundred"	0.11175
"five to @@"	0.111715
"nearly @@,@@@"	0.110607
"another @@,@@@"	0.110555
"more than @@@"	0.109988
"six to @@"	0.109887
"Two hundred"	0.10975
"nearly @@@,@@@"	0.108722
"up to @@@,@@@"	0.108598
"other @@@"	0.108119
"roughly @,@@@"	0.106254
"another seven"	0.106043
"first @@@"	0.104922
"another six"	0.10488
"About @,@@@"	0.104482
"about five"	0.103326
"over @.@@ million"	0.102895
"more than @@,@@@"	0.101848
"more than @@@,@@@"	0.101509
"close to @,@@@"	0.1015
"Over one million"	0.10104
"more than @,@@@"	0.100885
"Another eight"	0.100658
"up to seven"	0.100641
"roughly @@@"	0.100491
"up to @@ million"	0.0998569
Thirty-two	0.0991353
"almost @@,@@@"	0.0991081
"another @@"	0.0986206
"up to three"	0.0986164
"more than @@"	0.0985588
"More than @.@ million"	0.0976081
Nineteen	0.0973241
Thirty	0.0963125
"nearly @ million"	0.0957498
"about @@,@@@"	0.095567
Forty-four	0.0944929
"About one million"	0.0940987
"nearly @@"	0.0925649
"almost @@@,@@@"	0.0922508
"three to four"	0.0922214
Forty-two	0.0915711
"more than one million"	0.0915505
"up to six"	0.0904623
Thirty-five	0.0903394
"about @@-@@"	0.0900678
"More than three million"	0.0889048
"almost @,@@@"	0.0889011
"One Million"	0.0886763
"another @@@,@@@"	0.0886542
"about six"	0.0884471
Thirty-six	0.0878943
"less than @@,@@@"	0.0865339
Sixteen	0.0863407
Thirty-nine	0.0861308
"More than two million"	0.0857229
"Four million"	0.0855331
"three million"	0.085529
"about @@@,@@@"	0.08503
"about eight"	0.0846604
"up to five"	0.0846285
Thirteen	0.0839599
"over @.@ million"	0.0834231
"more than @ billion"	0.0833263
"three to five"	0.0827706
forty	0.0827165
"more than @.@@ million"	0.0826632
"four to six"	0.0824858
"nearly one million"	0.0818531
eighty	0.081037
"more than @@@@"	0.0809752
twenty	0.0802041
"another three"	0.0801601
Fifteen	0.0800623
Twelve	0.0800297
"Around @@@"	0.0795569
"roughly @@@,@@@"	0.0787467
"about seven"	0.0786781
"almost @ million"	0.0785329
"Nearly two"	0.0782955
Thirty-one	0.0781831
"less than @,@@@"	0.0779773
"six to eight"	0.0778981
Fourteen	0.0778872
"Around @@"	0.0778118
"Other @@"	0.0767161
"up to @ million"	0.0763277
"seven to @@"	0.0756879
seventy	0.0755587
"two to four"	0.0752402
"roughly @@,@@@"	0.0751425
"up to two"	0.0750315
"more than @@@ million"	0.074954
"ten thousand"	0.0747905
"more than @ million"	0.0746368
"roughly @@"	0.0745961
"up to @@,@@@"	0.0740941
"Another two"	0.0740899
"More than nine"	0.0740862
"almost two"	0.0740624
"about @.@ million"	0.0737579
"eight to @@"	0.0737329
Driven	0.0736412
"more than @@ million"	0.0733468
"Nearly @.@ million"	0.0731003
"two dozen"	0.0729243
"another five"	0.0728645
"more than four million"	0.0718784
Forty-seven	0.0718032
Eighteen	0.0717534
"other seven"	0.071552
"another @"	0.0714777
"over @ million"	0.0712985
"nine million"	0.0708536
"other eight"	0.0706497
"other five"	0.0705831
"another @ million"	0.0701735
"more than @.@ billion"	0.0700765
"less than @@"	0.0700135
"more than seven"	0.0698603
Thirty-three	0.0694952
Forty-five	0.0692536
"turning away"	0.0692456
Thirty-four	0.0691588
Thirty-eight	0.0679546
"two to three"	0.0678065
"up to @"	0.0676722
"about four"	0.0674144
Fifty	0.0672562
"Over two million"	0.0671659
"another four"	0.0670936
"more than ten"	0.0658923
"nearly @@ million"	0.0656003
"about @ million"	0.0654725
"another @.@ million"	0.0644585
"six million"	0.0644017
"half a dozen"	0.0641802
"Another @@ million"	0.0629353
"almost @@"	0.0621626
"nearly @@@ million"	0.0617772
"mentally retarded"	0.0610621
Younger	0.0609269
"up to four"	0.060104
seventeen	0.060015
"Pius XII"	0.0599453
"Orthodox Jewish"	0.0598314
"almost @@ million"	0.0593403
"over @@ million"	0.0592772
"six billion"	0.0591136
"more than five"	0.0591133
"Three billion"	0.0587926
"about two"	0.0587673
"more than three"	0.0586626
"about nine"	0.05815
"More than two"	0.0577667
"Seven million"	0.0576134
nonwhite	0.0569023
"more than six"	0.0567757
"other six"	0.0567731
"German language"	0.0567564
"About @ billion"	0.0564036
Kimball	0.0555626
sixty	0.0554421
Okinawan	0.0553061
"about @@@ million"	0.0548925
slain	0.0546133
Eleven	0.0541981
"two million"	0.0533194
"about @.@"	0.0532007
"other three"	0.0528633
"about @@ million"	0.0527771
"eight million"	0.0521775
"more than one"	0.0518538
Khmer	0.0517937
Korean-American	0.051747
origami	0.0516976
"less than five"	0.051652
"Pope Pius XII"	0.0514189
))
("close to one" (desc 1171.26) (sims
"great deal"	0.0775494
picky	0.0681071
twenty-two	0.0654552
bevy	0.0594319
comprised	0.0593579
"another third"	0.058498
imprimatur	0.0563982
"about one-tenth"	0.0546577
Americanized	0.0537117
"nearly two-thirds"	0.0528071
twenty-eight	0.0526811
privy	0.050969
"Mary Robinson"	0.0491599
there.	0.0489188
"compromise plan"	0.0487361
"Ninety-nine percent"	0.0487126
Twenty-seven	0.0484127
opprobrium	0.048044
Thirty-eight	0.0479712
"Forty-five percent"	0.0466972
"natural process"	0.0461531
"first basket"	0.0458924
"solid ground"	0.0449867
denouncement	0.0449265
half-dozen	0.044755
Twenty-three	0.0446137
"domed stadium"	0.0445675
accepting	0.0444642
simpatico	0.0443626
"over one third"	0.0439003
disinvestment	0.0432994
heartening	0.0431695
"Fifteen percent"	0.0431055
hackle	0.0429592
"dead end"	0.0428906
"less than one percent"	0.0426136
Thirty-three	0.0425863
"roughly one-third"	0.0422631
"stage name"	0.0418279
Demutualization	0.0415122
"Twenty-five percent"	0.0414183
negation	0.0412457
laughingstock	0.0410598
"cash bonus"	0.0410398
impossibility	0.0408608
antsy	0.0407255
"tennis ball"	0.0407252
"good person"	0.0406986
hyena	0.0406461
one-seventh	0.0406426
"good story"	0.0405342
"election district"	0.0404655
Ruehe	0.0403009
"ball club"	0.0402365
"George Karl"	0.0402294
Thirty-four	0.0401219
"first moment"	0.0400793
))
("closed circuit" (desc 1168.11) (sims
"closed-circuit television"	0.192551
"wide screen"	0.171926
HDTV	0.143883
primetime	0.134017
CCTV	0.126219
analog	0.122307
hand-held	0.100838
ABS-CBN	0.0964961
analogue	0.0937859
C-Span	0.0883546
multichannel	0.086626
WGN	0.0833808
four-hour	0.08247
"night vision"	0.0819028
videophone	0.0818807
plasma	0.0763742
Rai	0.0746312
CTV	0.0700016
add-on	0.067592
Nikon	0.0675707
LCD	0.0675123
onboard	0.0665668
"television news"	0.0664988
ORT	0.0662089
PAX	0.061734
Must-See	0.0615561
handheld	0.0611662
CRT	0.0596153
fallback	0.0590239
CBC	0.0587468
"morse code"	0.0584442
carnivore	0.0583234
wristwatch	0.0567616
"Tony Awards"	0.055701
Technicolor	0.0555325
ultrasound	0.0554837
Olympus	0.0552384
six-minute	0.0543686
IMAX	0.054305
centerfield	0.0535184
JVC	0.0535065
camcorder	0.0528539
cellphone	0.0524921
Holyfield-Lewis	0.0524019
"Fox Network"	0.0516557
one-hour	0.0515538
NHK	0.0515073
cruiserweight	0.0509217
DV	0.0507694
raunchy	0.0507148
voyeur	0.0506118
"Game Boy"	0.0501856
"slow motion"	0.0501685
three-minute	0.0500958
"radio frequency"	0.0498941
simulcast	0.0497642
sonar	0.0493154
"electronic surveillance"	0.0491273
five-minute	0.04856
GPS	0.0485569
eight-minute	0.0482488
Multistate	0.0481895
UV	0.0478588
four-minute	0.0476389
hourlong	0.047578
Panasonic	0.0473059
NTV	0.0470378
stakeout	0.0465115
SCSI	0.0464515
forklift	0.0455277
ISDN	0.0454192
"collective security"	0.0451736
DirecTV	0.0451671
CBS-TV	0.0451129
barbell	0.0449069
Starzz	0.0447622
one-to-one	0.0446813
ESPN@	0.0446787
"picture tube"	0.0444822
"British Broadcasting Corp."	0.0443857
FireWire	0.0443296
courtside	0.0443152
"caller ID"	0.044231
wraparound	0.0438156
midrange	0.0437643
artsy	0.0437509
as-yet	0.0435714
"Voice of America"	0.0434612
E-ZPass	0.0430138
profit-sharing	0.0429073
ADSL	0.0427692
six-week	0.0424184
PBA	0.0420806
SB	0.0420298
N@@	0.0416138
D'Angelo	0.0414698
"Fox News"	0.0413503
escrow	0.0413285
"traffic signal"	0.0408154
intercom	0.0400339
med	0.0400284
"color television"	0.0400123
Cineplex	0.0400079
))
("closed session" (desc 3654.19) (sims
"House of Commons"	0.0873541
Ouagadougou	0.0720028
"conference committee"	0.0709442
"committee meeting"	0.0697616
"fifth week"	0.0674004
"World Food Summit"	0.0647275
"general assembly"	0.0637696
adjournment	0.0630751
Commons	0.0628386
"conference call"	0.0625566
Windhoek	0.0623278
"Downing Street"	0.0620311
Knesset	0.0615055
"Israeli Cabinet"	0.0600465
"Ministerial Meeting"	0.0576167
"Special Session"	0.0571884
PNC	0.0571781
Sirte	0.0571731
monotone	0.0571672
"Jefferson City"	0.0570499
"House Judiciary Committee"	0.0565652
Roundtable	0.0563783
"natural state"	0.0559123
lockstep	0.0558191
"first reading"	0.055804
"Ministerial Conference"	0.0557935
plebiscite	0.0555718
"rose garden"	0.0555689
"Judiciary Committee"	0.0547001
Gaborone	0.0546168
Bonn	0.0544572
"working group"	0.0543083
Yaounde	0.0542619
Midrand	0.0540046
weigh-in	0.0539513
Abuja	0.0537903
"roll call"	0.0537402
"three-day event"	0.0537244
"conference room"	0.0536203
Shepherdstown	0.0533704
plenum	0.0530117
hibernation	0.052952
Duma	0.0526618
"Fortune Global Forum"	0.0525032
Belfast	0.0518279
powwow	0.0510323
Dushanbe	0.0507641
Davos	0.0507134
FOMC	0.0502853
consulations	0.050188
deliberation	0.0501767
"East Room"	0.0500953
convocation	0.0500039
Tbilisi	0.0495147
Mbabane	0.049227
convening	0.0490224
"wedding party"	0.0489148
Asia-Europe	0.0484419
"council meeting"	0.0483679
Danville	0.0482737
"voting booth"	0.0479006
"round table"	0.0478652
Rabat	0.0478235
Almaty	0.0476342
"Nigerian capital"	0.0476001
"Resolution @@@@"	0.0474916
"World Conference"	0.0472441
three-fifths	0.047241
"National Assembly"	0.0471288
teleconference	0.0470211
"prayer meeting"	0.0469386
Zhongnanhai	0.0466689
"town meeting"	0.0466281
IGC	0.0465076
"final judgment"	0.0463618
Kyoto	0.0462356
"fire hose"	0.046057
"International AIDS Conference"	0.0457594
retrial	0.0452682
"Grand Rapids"	0.0452335
Pretoria	0.0451926
first-round	0.0451835
spacewalk	0.0451691
"Resolution @@@"	0.045121
ASEM	0.0450642
"panel discussion"	0.044858
"US District Court"	0.0447426
"Consultative Group"	0.0445756
"line of work"	0.0445063
"board meeting"	0.044506
one-to-one	0.0444794
"Gaza City"	0.044479
"drug case"	0.0443348
Aachen	0.0441538
"U.N. Millennium Summit"	0.0439543
"proxy fight"	0.0438603
Bergen	0.043838
"antitrust case"	0.0436795
Ramallah	0.0436692
"Rules Committee"	0.0436393
"Russian Duma"	0.0435271
mini-summit	0.043527
two-third	0.0434946
"Lee Hsien Loong"	0.0434618
"U.N. Human Rights Commission"	0.0434462
"Buick Classic"	0.0434075
"Joint Liaison Group"	0.0431675
"Presidential Palace"	0.0429844
MONTEVIDEO	0.042974
CARACAS	0.0428039
Lucerne	0.0427693
windup	0.0426479
"merger talk"	0.0424297
Doha	0.0424157
"Palestinian National Council"	0.0424001
co-chairs	0.0422972
"third week"	0.0422486
"Joint Declaration"	0.0422127
"Des Moines"	0.0421081
"primary election"	0.0420455
"Alcoholics Anonymous"	0.0419495
court-martial	0.0418633
"Annual Meeting"	0.0418454
escrow	0.0418214
Helsinki	0.0418082
"World AIDS Conference"	0.0417582
"Victoria Falls"	0.041756
C-section	0.0417064
MANAMA	0.0416496
confab	0.0416328
"Malaysian capital"	0.0416313
el-Sheikh	0.0416136
"ASEAN Ministerial Meeting"	0.0416092
"Secretary General Boutros Boutros-Ghali"	0.0416089
storeroom	0.041523
AMM	0.0414461
"bomb shelter"	0.0414256
Arusha	0.0414254
Durban	0.0414158
"PLO Executive Committee"	0.041379
"Palestinian Central Council"	0.0413306
"Sino-British Joint Declaration"	0.0412374
Cartagena	0.0411481
"second reading"	0.0411454
"U.S. District Court"	0.0411454
"practice session"	0.04086
off-day	0.0408044
parley	0.040712
statehouse	0.0403602
"next two days"	0.0403277
"United States Senate"	0.0403262
commemoration	0.0403253
"assembly hall"	0.0401775
boardroom	0.0401548
"Whitewater investigation"	0.0401351
Conakry	0.0401112
TRIER	0.0400225
ballroom	0.0400128
))
("closed-circuit television" (desc 3268.15) (sims
"closed circuit"	0.192551
hookup	0.0959172
C-Span	0.0809342
"video screen"	0.078067
hand-held	0.0643544
"night vision"	0.0635962
CRT	0.0619819
CCTV	0.0614758
"fiber optic cable"	0.0614326
ESPN@	0.0569029
LCD	0.0556024
"shuttle bus"	0.0540425
videophone	0.053742
"television news"	0.0537172
"Pennsylvania Avenue"	0.0535977
"cable television"	0.0518241
"optical fiber"	0.0512677
ultrasound	0.0489032
plasma	0.0488334
"gas pedal"	0.0473711
pay-per-view	0.0463669
"solar power"	0.0452984
"Turner Classic Movies"	0.0450212
sewerage	0.0444268
"central heating"	0.0442894
"form letter"	0.0438968
DV	0.0438786
Nikon	0.0432467
oldies	0.0429569
HDTV	0.0427348
"electrical power"	0.0425873
"a few meters"	0.0420527
sensing	0.0419682
E-ZPass	0.0413794
"spy satellite"	0.0411116
sonar	0.0410173
camcorder	0.0410009
"Fox TV"	0.0409361
telemedicine	0.0403877
CDMA	0.0403287
Projector	0.0403095
))
("closed-end fund" (desc 1697.09) (sims
"equity fund"	0.150793
"bond fund"	0.143988
"small cap"	0.124368
REIT	0.103871
REITs	0.103457
"business enterprise"	0.102705
"mutual fund"	0.102375
"insurance firm"	0.0909862
"U.S. Trust"	0.0887521
"junk bond"	0.0874217
"investment trust"	0.0859967
ALZA	0.0809615
"convertible bond"	0.0795236
"investment fund"	0.0782517
SDL	0.0781495
PaineWebber	0.0773897
MiniMed	0.0757269
highflier	0.0756387
Emulex	0.0754853
"subsidiary company"	0.0732412
"savings bond"	0.071173
Motorsports	0.0708641
"municipal bond"	0.0707022
"investment house"	0.0705726
"penny stock"	0.0703825
"growth stock"	0.070132
"Computer Associates"	0.0698774
ZIFF-DAVIS	0.0688134
contrarian	0.0686135
"Boston Scientific"	0.0682969
SkyTel	0.0673371
"retirement plan"	0.0671139
transnationals	0.0663146
"toy industry"	0.0661957
"Treasury note"	0.066033
Bestfoods	0.0644561
Skoda	0.0644004
USEC	0.0642899
"Treasury bond"	0.0638767
IPO	0.0637574
"Sharper Image"	0.0632895
"Robertson Stephens"	0.0618305
"certificate of deposit"	0.0613557
"Hambrecht &AMP; Quist"	0.0612964
SIDS	0.0611847
"Edward Jones"	0.0610628
Omnicom	0.0607472
"merchant bank"	0.0605595
multinationals	0.060412
chaebols	0.0601595
enterpreneurs	0.0600105
"three pitchers"	0.0596222
"precious metal"	0.0594787
annuity	0.0594478
Fingerhut	0.0593816
Stratus	0.059298
"blue-chip stock"	0.0592816
"initial offering"	0.0591579
corporates	0.0589971
Sepracor	0.0589638
"J&AMP;J"	0.0589443
"airplane ticket"	0.0586774
ExciteAtHome	0.0586675
Chiron	0.0586405
ATC	0.0580774
NatWest	0.0580609
"debt security"	0.0575812
"Prudential Insurance Co."	0.0575094
"market maker"	0.057161
"service break"	0.056973
"summer house"	0.0569455
"brokerage house"	0.0568081
Berkshire	0.0567795
"banking company"	0.0565659
"bond offering"	0.0564102
"Donaldson, Lufkin &AMP; Jenrette"	0.0563019
"RJR Nabisco"	0.0560614
"building society"	0.0559238
GANNETT	0.0559178
"preferred stock"	0.0558053
Akamai	0.0555353
nuclear-weapons	0.0554961
"major-league team"	0.0554128
DiCarlo	0.0553995
"Niagara Mohawk"	0.0553877
"futures market"	0.0552169
Eni	0.0551221
pawnshop	0.0548896
T-bonds	0.0548372
Diageo	0.0547666
"Times Mirror"	0.0547611
ENTERGY	0.0547483
"common stock"	0.0546169
"investment portfolio"	0.0544869
"Fred Meyer"	0.0541782
Healtheon	0.0540355
"Paine Webber"	0.0539886
biotech	0.0537983
"joint-stock company"	0.0537444
"Dhaka Stock Exchange"	0.053229
blue-chips	0.0531844
"Waste Management"	0.0531363
CPF	0.0531312
"brokerage account"	0.053057
VoiceStream	0.0530552
Isis	0.0529831
skydiver	0.0529456
Gatling	0.0529257
"retirement account"	0.0522601
AHP	0.0520426
Maytag	0.0519916
"business cycle"	0.0519584
Schlumberger	0.0519173
genealogy	0.0518112
"Sara Lee"	0.051779
Honeywell	0.05176
CMGI	0.0516697
"Kenya Airways"	0.0516632
"Times Co."	0.0516086
Dataquest	0.0515649
"life insurer"	0.051518
"National Grid"	0.0514877
Janus	0.0513628
Gartner	0.0512886
"parcel of land"	0.0512399
CDB	0.0512112
CalPERS	0.0511939
"mainframe computer"	0.0511921
"hot stock"	0.0510424
"futures contract"	0.0510167
"venture capital"	0.050862
"Donald duck"	0.0507041
CBK	0.0506052
Suker	0.050555
BCE	0.0505066
"Liberty Media"	0.0504344
"Treasury bill"	0.0503222
"Modern Library"	0.0502944
GPU	0.0501763
"billion over @@ years"	0.0501241
"proxy fight"	0.0500941
Saks	0.0499258
"marketing program"	0.0498834
zingers	0.0498736
Italia	0.0498336
Inktomi	0.0496985
"Thermo Electron"	0.049693
Transamerica	0.0491745
Sino-Russian	0.0491624
Fiat	0.0491107
timberland	0.048976
SSE	0.0489482
"preferred shares"	0.0488033
"International Data Corp."	0.0486863
livery	0.0486622
"Pacific Century"	0.0484932
Geron	0.0484753
"food company"	0.0484378
"family business"	0.0483774
Schwab	0.0483584
Agilent	0.0483555
"skin care"	0.0483345
powerboat	0.0482903
"Best Buy"	0.0482712
"bond investor"	0.0482303
KPA	0.0481925
"written agreement"	0.0481411
"Royal Bank"	0.0480817
"bond issue"	0.0480329
Uunet	0.0479773
SmithKline	0.0479742
"holding company"	0.0478943
ARCO	0.0476648
theglobe.com	0.047647
DrKoop.com	0.0476335
bottlers	0.0475682
"National Semiconductor"	0.0475553
"BancBoston Robertson Stephens"	0.0473359
"Met Life"	0.0472743
"Gulf Air"	0.0471887
Carrefour	0.0471864
"consumer product"	0.0471775
Mississippian	0.047168
VENATOR	0.0471268
"NTT DoCoMo"	0.0471219
XYLAN	0.0471066
TYCO	0.0470654
counterterrorism	0.0470562
Genzyme	0.0469681
COSCO	0.0469125
bison	0.0469111
"Rite Aid"	0.0468046
"National Action"	0.0467718
IDT	0.0466971
"Lehman Brothers"	0.0465854
Citron	0.0465368
"Operation Lifeline Sudan"	0.0463905
geriatrics	0.0463786
"one school"	0.0462549
turboprop	0.046227
))
(closedown (desc 1394.23) (sims
"plant closing"	0.135038
re-opening	0.115786
reopening	0.112063
closings	0.109481
shutdown	0.105338
closing	0.101359
decommissioning	0.0918826
mushrooming	0.086762
restructurings	0.0846352
uncovering	0.0823579
realignments	0.0791758
"management change"	0.0788011
storming	0.0769594
toppling	0.0758499
relocation	0.0755994
"pay cut"	0.0749362
"tax hike"	0.0733142
scrapping	0.0702937
downsizing	0.0685286
"spending cut"	0.068381
"two units"	0.0678056
reorganization	0.0671445
termination	0.0668369
"earnings disappointment"	0.0665295
adjournment	0.0664944
commissioning	0.0658679
finalization	0.0648272
revocation	0.064782
Ostracism	0.063582
shakeout	0.0631149
floatation	0.0627118
reevaluation	0.0622675
sacking	0.0620276
dissolution	0.0619534
disbandment	0.0613088
retooling	0.0609858
shake-up	0.0587455
setting-up	0.0586126
dismantling	0.0585738
rethinking	0.057947
retrenchment	0.057137
reorientation	0.0564955
convening	0.0564048
"management shakeup"	0.0561269
reexamination	0.0559777
reshuffling	0.0557697
disbanding	0.0550035
reconsideration	0.0544737
Grounding	0.0543065
realignment	0.0539227
liquidation	0.0535816
abolishment	0.0531822
diminution	0.053158
narrowing	0.0526948
activation	0.0523755
privatisation	0.0523479
"interest rate increase"	0.0521785
disintegration	0.0520832
Balkanization	0.0516879
"leveraged buyout"	0.0515895
breaching	0.049658
lowering	0.0495293
eviction	0.0492916
reinstatement	0.0488597
"rate rise"	0.0484731
desegregation	0.048392
unraveling	0.0478303
scaling	0.0476786
annexation	0.0473405
shedding	0.0469788
sell-offs	0.046921
firefights	0.0467665
nationalization	0.0466293
winnowing	0.0464178
licensing	0.0461707
harvesting	0.0460308
reassignment	0.0460255
flotation	0.0456901
rollback	0.0455369
"bank failure"	0.0454231
"court martial"	0.0454197
lockdown	0.0453922
reassessment	0.0453892
splitting	0.0451468
downgrading	0.0445715
reestablishment	0.0444975
amalgamation	0.0444924
impoverishment	0.044371
drawdown	0.0443109
sending	0.0441867
rationing	0.0439503
divestment	0.0437739
demotion	0.0437505
"warning light"	0.043605
stoppage	0.0435336
revamping	0.0432419
airdrop	0.0430413
sequencing	0.0429666
procreation	0.0427936
minicamps	0.0427874
declassification	0.0426276
divestiture	0.0424661
"military attache"	0.0424641
overcapacity	0.0423627
disqualification	0.041962
exigency	0.0417773
using	0.0414727
basij	0.0413766
ineffectiveness	0.041329
decimation	0.0411874
recapitalization	0.0411372
"name change"	0.0411148
"golden rule"	0.041034
promulgation	0.0409372
severance	0.0409195
spinoffs	0.0408856
labeling	0.0405331
"ad blitz"	0.0402972
"starting time"	0.0402584
divestitures	0.0401198
jailing	0.0401071
possiblity	0.0400638
))
(closeness (desc 10555.5) (sims
intimacy	0.108024
togetherness	0.0988754
kinship	0.091885
rapport	0.0899478
loyalty	0.0867986
proximity	0.0853465
Openness	0.0789534
warmth	0.0755791
cohesiveness	0.0748226
devotion	0.0724026
vulnerability	0.0718041
interdependence	0.0714895
friendship	0.0712509
connectedness	0.0704523
fragility	0.0698774
resilience	0.0695425
continuity	0.0693531
honesty	0.068042
restlessness	0.0660192
"good fortune"	0.0634584
comfort	0.0633934
calmness	0.06312
cohesion	0.0630991
camaraderie	0.0630071
allegiance	0.0623634
well-being	0.0620946
immediacy	0.0620832
compassion	0.0620747
bonding	0.0618883
teamwork	0.061851
equality	0.0618025
affection	0.0617891
worthiness	0.0617314
neighborliness	0.0615942
polarization	0.0615843
cordiality	0.0613778
companionship	0.0611853
frailty	0.0610127
sincerity	0.0607926
generosity	0.060481
equilibrium	0.0603531
diversity	0.0602012
complexity	0.0601962
aggressiveness	0.0599863
commonality	0.0598128
familiarity	0.0597627
harmony	0.0594937
patriotism	0.0594753
empathy	0.0593889
affinity	0.059107
serenity	0.0586834
sensitivity	0.0584767
inferiority	0.0584131
dynamic	0.0581851
solidarity	0.0578758
urgency	0.057862
exhilaration	0.0577325
acceptance	0.0576479
crosscurrent	0.0575115
humility	0.0574996
willingness	0.0573655
brotherhood	0.0571964
spontaneity	0.0571766
vitality	0.0571258
goodwill	0.0567377
unity	0.0565637
solitude	0.056541
fairness	0.0564663
boldness	0.0560235
oneness	0.0557642
self-respect	0.0555381
interaction	0.0553713
self-worth	0.0551896
pride	0.0551561
esteem	0.05515
attachment	0.0551484
fragmentation	0.055054
unreality	0.0550539
importance	0.0550522
uniqueness	0.0545712
self-confidence	0.0545184
dynamism	0.0544592
obedience	0.0543039
relaxation	0.0540685
good-neighborliness	0.054013
distinctiveness	0.0539398
ambivalence	0.0539302
richness	0.0538747
fullness	0.0538152
emptiness	0.0535593
fortitude	0.0534548
weariness	0.053407
purity	0.0533267
dearth	0.0533077
"mutual understanding"	0.0532701
freshness	0.0532518
vigor	0.0530127
popularity	0.0529265
gentleness	0.0526949
unanimity	0.0525708
solidity	0.052548
dignity	0.0524219
reluctance	0.0524078
isolation	0.0522852
maturity	0.0522211
superiority	0.0522132
understanding	0.0521776
tranquillity	0.0518625
powerlessness	0.0518559
determination	0.0518492
toughness	0.0518207
weakness	0.0517543
deceleration	0.0517213
"good will"	0.0516714
detente	0.0516424
edginess	0.0516305
ferocity	0.0516074
durability	0.0515096
stability	0.0513147
sympathy	0.0512125
fluidity	0.051154
happiness	0.050951
persistence	0.0509056
peculiarity	0.0508243
Privacy	0.0508006
self-esteem	0.0507643
tolerance	0.0507551
gravity	0.0507218
disquiet	0.0506897
rapprochement	0.0506329
informality	0.0505965
normality	0.0505025
desperation	0.0503442
impossibility	0.0503297
friendliness	0.0502917
rivalry	0.0502232
dedication	0.0501796
thaw	0.0501653
Jewishness	0.0501413
breadth	0.0500672
assertiveness	0.0498625
candor	0.0498224
trait	0.0497271
timelessness	0.0495423
inexperience	0.049541
linkage	0.0494447
potency	0.0493547
warming	0.0493466
naivete	0.0493217
complementarity	0.049287
enthusiasm	0.0492421
friction	0.0492311
reverence	0.0491812
zeal	0.0491062
imbalance	0.0490552
animosity	0.0490078
estrangement	0.0487321
tranquility	0.0487128
sisterhood	0.0487
wholeness	0.0486826
appreciation	0.0486597
individuality	0.0485855
eagerness	0.0483686
jealousy	0.0482969
nervousness	0.0481388
gratitude	0.0480144
flexibility	0.0478589
disconnection	0.0478145
inability	0.0477912
tenacity	0.0477299
resiliency	0.0475905
yearning	0.0475823
depth	0.0475409
apathy	0.047489
buoyancy	0.0474677
agony	0.0474553
consistency	0.04741
intensity	0.0473717
fearlessness	0.0472843
betrayal	0.0472587
mobility	0.0472349
clout	0.0471111
legitimacy	0.04711
scarcity	0.0470398
mistrust	0.0470379
bliss	0.0468804
passion	0.0468744
tenderness	0.0468452
sophistication	0.0468337
nullification	0.0467495
unfairness	0.0467369
insecurity	0.0466869
wealth	0.0465741
"drawing power"	0.0465435
unwillingness	0.0465402
thawing	0.0463975
skittishness	0.0463837
ferment	0.0459104
remoteness	0.0458982
uneasiness	0.0458714
))
(closer (desc 9059.85) (sims
reliever	0.0789404
"Side Man"	0.0591456
"three pitchers"	0.0571069
"Via Dolorosa"	0.0540176
"first pitcher"	0.0537011
"good person"	0.0509037
"white person"	0.0501556
"major leaguer"	0.0497635
first-rounder	0.0494247
"Jeff Shaw"	0.0493056
player-coach	0.0479448
"relief pitcher"	0.0474375
"hard worker"	0.0466977
harder	0.0463437
"starting pitcher"	0.0462966
"Rheal Cormier"	0.045553
"center fielder"	0.044181
"big leaguer"	0.0436743
DH	0.0434652
"risk taker"	0.0434092
"Blue Room"	0.0430871
"professional golfer"	0.0428592
"Rod Beck"	0.0426027
dilettante	0.042384
"left fielder"	0.0420824
smooch	0.0417316
hyper	0.0414947
"young person"	0.0408603
"coaching job"	0.0407267
passer	0.0406812
choirboy	0.0406687
"Big Unit"	0.0403716
"second baseman"	0.0401834
bigger	0.0401814
"hockey player"	0.0401215
))
(closers (desc 2736.29) (sims
rebounders	0.210292
basemen	0.177972
rushers	0.149194
tacklers	0.133927
QBs	0.129887
vote-getters	0.123844
goaltenders	0.122353
playmakers	0.112379
cornerbacks	0.109269
miler	0.106579
returners	0.106281
"starting pitcher"	0.102939
slugger	0.102681
wideouts	0.102257
lefthander	0.0976735
"center fielder"	0.0964989
"ball club"	0.0953792
businesswomen	0.0952741
"won-lost record"	0.0948424
"No. @s"	0.0944141
immortal	0.0935339
evaluator	0.0928592
hitter	0.0919216
hurler	0.0899557
"three pitchers"	0.089594
third-highest	0.0886142
"job candidate"	0.0884383
singer-songwriters	0.0878762
Kicker	0.0878171
"left-handed pitcher"	0.086366
"two pitchers"	0.086201
defensemen	0.0861816
reliever	0.0859535
pinch-hitters	0.0858053
goal-scorer	0.0854533
Stealers	0.0846691
deepest	0.0844252
"relief pitcher"	0.0824136
"role player"	0.082328
quarterfinalists	0.0811921
passer	0.0810972
"Special Economic Zones"	0.0796853
rebounder	0.0795539
greats	0.079429
brightest	0.0789905
have-not	0.0784345
Intimidator	0.0782543
"New York Republicans"	0.0780705
"Texas Democrats"	0.0777642
curveballs	0.077465
spender	0.0773387
ex-convicts	0.0766549
All-stars	0.0765021
shortstop	0.0764011
"baseball player"	0.0763283
Litigator	0.0751442
"pass catcher"	0.0749548
"race horse"	0.0735565
goaltender	0.0732994
"most valuable player"	0.0727357
thrower	0.0724827
underachiever	0.0722457
pitching	0.0722148
punter	0.0717391
catcher	0.0713617
shooter	0.0711627
goalscorer	0.0704681
rusher	0.0701524
nightspots	0.070075
fewest	0.0697229
minor-leaguers	0.0687969
standouts	0.0684863
"break of serve"	0.068191
debater	0.0681902
linemen	0.0679818
racehorse	0.0679488
returner	0.0679139
"left fielder"	0.0676267
ballplayer	0.0675685
no-decisions	0.0668102
baserunners	0.066524
co-chairs	0.0661211
"batting average"	0.0648737
"long-distance runner"	0.0645475
pluses	0.0645083
kindergartners	0.0641045
"situation comedy"	0.0639918
firsts	0.0633265
"character actor"	0.0633126
metropolises	0.0630316
signees	0.0628246
"young actress"	0.0623399
acquirer	0.062307
billionaires	0.061994
tackler	0.0618767
outfielder	0.0617665
meltdowns	0.0617659
goalie	0.0617512
postseasons	0.0617084
"supporting players"	0.0615252
golfer	0.0613252
stallion	0.0608098
matchups	0.0606125
innovator	0.0605631
"second baseman"	0.060409
blocker	0.060051
batsmen	0.0600285
"New York Democrats"	0.0600177
pallbearer	0.0600144
"hockey player"	0.0600007
second-highest	0.0598007
"minor-league team"	0.0597989
clinician	0.0597871
ump	0.0596604
flashpoints	0.0595361
"word of advice"	0.0590557
insulator	0.0590149
"three match points"	0.0588685
meccas	0.058868
entrant	0.0588357
major-leaguers	0.0587522
"service break"	0.0581347
midfielders	0.0581027
ballclub	0.0580305
Malay	0.0580021
marathoner	0.0578921
"Final Fours"	0.0576403
"tight end"	0.0575871
thoroughbred	0.0572873
"growth industry"	0.0572221
upperclassmen	0.0571466
"first points"	0.0568911
VCs	0.0567892
ISPs	0.0567424
"leading lady"	0.0567261
"agenda item"	0.0564012
match-ups	0.0563714
talker	0.0562438
"dramatic event"	0.0562019
SEZs	0.0560114
"first basket"	0.0558739
heavyweight	0.0558295
old-timer	0.0557059
"pinch hitter"	0.0556613
multimillionaires	0.0556517
whistle-blowers	0.0555122
left-hander	0.0554806
Slav	0.0553465
"fashion designer"	0.0552831
sommelier	0.0551451
percussionist	0.0550189
supplicant	0.0549987
Klansmen	0.0548692
zingers	0.0548453
righthander	0.0546865
fundraisers	0.0546101
par-@s	0.0544746
"foster parent"	0.0544736
triathletes	0.0544433
"All-Star Games"	0.0544079
"New Jerseyans"	0.0542868
carmakers	0.0542413
egghead	0.0541758
B-@s	0.0541225
"interior decorator"	0.0540421
"major leaguer"	0.0536265
"target area"	0.0535635
second-worst	0.0534243
freshmen	0.0532515
mover	0.0532169
Dutchmen	0.0530915
toughest	0.0529538
richest	0.0528667
netminder	0.0527104
"heavy hitter"	0.0526378
"bunk bed"	0.0526181
lefty	0.0525933
stopper	0.0525542
snowboarders	0.0525318
"San Franciscans"	0.0525194
sire	0.0524007
moneymaker	0.0522306
"leading man"	0.0522184
ref	0.052141
oddsmakers	0.0520934
highflier	0.0518566
"five spot"	0.0518295
puncher	0.0517374
"five @-pointers"	0.0516927
horsemen	0.0516673
REITs	0.051558
co-owners	0.0515282
racer	0.0514898
infielder	0.0513586
"vote counter"	0.051279
switch-hitter	0.0512182
tactician	0.0511218
dot-coms	0.0510814
Bostonians	0.051023
"great year"	0.0510214
))
(closest (desc 5657.14) (sims
richest	0.0591909
"three pitchers"	0.0590463
strongest	0.055523
closeness	0.0546587
fewest	0.0527866
"first pitcher"	0.0492324
"first exposure"	0.0470969
smallest	0.0465627
fastest	0.0455343
"foregone conclusion"	0.0449736
second-longest	0.0447512
perpendicular	0.0443261
easiest	0.0436016
bloodiest	0.0434986
biggest	0.0434978
"first points"	0.0429242
longest	0.0418941
"first basket"	0.0411156
quickest	0.0411013
resemblance	0.0408288
deadliest	0.04054
))
(closet (desc 34658.4) (sims
drawer	0.155046
bedroom	0.147007
basement	0.135511
bathroom	0.13208
garage	0.125147
pantry	0.123251
room	0.115884
kitchen	0.115409
cupboard	0.114436
refrigerator	0.112602
"living room"	0.111067
freezer	0.10006
hallway	0.0996891
cellar	0.099607
Bin	0.0978355
apartment	0.0971281
trunk	0.0969446
locker	0.0967367
fridge	0.0965962
"family room"	0.0953696
"medicine cabinet"	0.0949662
attics	0.0943513
"dining room"	0.0935454
bookcase	0.0934126
"dressing room"	0.0919731
Warehouse	0.0915025
shelf	0.0885718
fireplace	0.0884078
den	0.0882723
bed	0.0873156
box	0.087202
classroom	0.0866889
"file cabinet"	0.0850809
bag	0.0843058
pocket	0.0840748
"conference room"	0.084028
bathtub	0.0836781
"bomb shelter"	0.083242
"master bedroom"	0.083149
compartment	0.0823376
"sitting room"	0.0819554
"back room"	0.0818693
toilet	0.0811973
"storage room"	0.0809441
cubicle	0.0806404
window	0.0802377
suitcase	0.0801444
tub	0.0794355
desk	0.0773666
briefcase	0.0773253
shop	0.0769737
"garbage can"	0.0756704
cage	0.0753669
library	0.0750329
alcove	0.0750291
gym	0.0748319
shed	0.0736011
"duffel bag"	0.0722273
Dumpster	0.0719748
courtyard	0.071974
sofa	0.0718947
"hotel room"	0.0714899
vestibule	0.0713005
bookshelf	0.0712915
courtroom	0.0711244
playroom	0.0709063
lounge	0.0707019
auditorium	0.0705944
stall	0.0698638
cabin	0.0697608
space	0.0697509
floor	0.0697382
attic	0.0693349
store	0.0693312
vault	0.0688173
hall	0.0685244
stairwell	0.0682711
rack	0.0682208
barn	0.0680555
doorway	0.0680277
storeroom	0.0679617
"locker room"	0.0677534
container	0.0668774
pool	0.0668763
"display case"	0.0663228
wall	0.0661606
cabinet	0.0661111
ballroom	0.066002
gymnasium	0.0658235
corner	0.0657388
mailbox	0.0657259
tent	0.0654732
door	0.0654691
loft	0.0650829
restroom	0.0649506
cave	0.0649316
suite	0.0644463
elevator	0.0641855
booth	0.0641522
"parking lot"	0.0636982
lobby	0.0631159
"swimming pool"	0.0625776
chair	0.0625711
"back yard"	0.0624864
"storage area"	0.0623981
dryer	0.0623111
cooler	0.0622621
Alley	0.0618814
studio	0.0615851
trailer	0.0614161
pit	0.0611956
ceiling	0.0611545
bunker	0.0609979
backpack	0.0605837
"dorm room"	0.0603535
archive	0.0601706
balcony	0.0597865
armoire	0.0597032
parlor	0.0593777
bar	0.0592425
mouth	0.0592257
wallet	0.0592197
nook	0.0589397
foyer	0.0585595
shelter	0.0584407
wardrobe	0.0584295
backyard	0.0583887
table	0.0583432
chamber	0.0583104
cafe	0.0581305
furniture	0.0578501
cafeteria	0.0577525
aisle	0.0577301
gallery	0.0577199
"phone booth"	0.0576196
oven	0.0574816
van	0.0564294
"home office"	0.0564232
rubble	0.0563822
garden	0.056302
pile	0.0562275
dugout	0.0559004
"trash can"	0.0558268
pot	0.0558147
folder	0.0558059
purse	0.0553862
driveway	0.0553758
porch	0.0553216
clubhouse	0.0550406
corridor	0.0548148
armchair	0.0546179
bath	0.054558
"coffee table"	0.0544481
cockpit	0.0542057
hut	0.0538132
storage	0.0536148
"waiting room"	0.0531725
cell	0.0529113
yard	0.0529037
jar	0.0528243
"gas tank"	0.0519249
showroom	0.051898
deck	0.051708
bucket	0.0516958
enclosure	0.0514984
patio	0.0514876
dormitory	0.0513076
truck	0.0513012
tank	0.050923
couch	0.0508061
hangar	0.0506597
Stairway	0.0504905
museum	0.0504864
dresser	0.0502604
"recording studio"	0.0501396
crevice	0.0499937
sanctuary	0.049711
mattress	0.0496175
chapel	0.0495448
bottle	0.0494862
"office building"	0.0494469
stove	0.0491902
seclusion	0.0490454
nest	0.0487278
belly	0.0485946
shoe	0.048503
cavity	0.0484199
theater	0.0483999
"grocery store"	0.0483946
"jail cell"	0.0483768
terrace	0.0482817
crate	0.0481269
wheelchair	0.0479651
cab	0.0479487
pipe	0.0479088
cloth	0.047899
frame	0.0475531
passageway	0.0475179
shadow	0.0475178
collection	0.0474651
))
(closeup (desc 15149.5) (sims
snapshot	0.079667
photograph	0.0746394
portrait	0.0732049
"slow motion"	0.0722551
photo	0.0714259
footage	0.0711377
picture	0.0709139
montage	0.0662846
"B&AMP;W"	0.0654887
black-and-white	0.0646207
illustration	0.0641536
video	0.0606018
"home movie"	0.0604825
thumbnail	0.0597164
flashback	0.0589644
"black and white"	0.058428
Behind-the-scenes	0.0576212
ultrasound	0.057385
glimpse	0.055183
clip	0.0539287
sketch	0.0536522
drawing	0.052963
"camera angle"	0.0524825
x-ray	0.052227
cutout	0.0519517
collage	0.0504412
cartoon	0.0499281
"sneak preview"	0.0498913
videotape	0.0498195
watercolor	0.0497737
biography	0.049727
daguerreotype	0.0494151
sequence	0.049156
"film clip"	0.0491395
Polaroid	0.0483589
depiction	0.0478325
replay	0.0474695
vignette	0.0468904
description	0.0467903
rendering	0.0465706
sculpture	0.0464921
overview	0.0461517
portrayal	0.0460685
"wide screen"	0.0459237
voice-overs	0.0454755
Technicolor	0.0454019
animation	0.0452101
postcard	0.0447407
camcorder	0.0439829
viewing	0.0439433
nudity	0.0437166
silhouette	0.0434505
poster	0.0431181
documentary	0.042941
graph	0.0429124
evocation	0.0425308
"full page"	0.0421565
"floor plan"	0.0420351
woodcut	0.0415164
"special effect"	0.0404865
"mug shot"	0.0404022
autopsy	0.0402372
))
(closing (desc 18009.8) (sims
closure	0.149004
reopening	0.126659
re-opening	0.111382
opening	0.104612
shutdown	0.101633
closedown	0.101359
closings	0.0965891
convening	0.090046
cancellation	0.0810998
convocation	0.0807412
restructuring	0.0784078
reorganization	0.0773455
inauguration	0.0758429
postponement	0.0752309
relocation	0.0723146
"plant closing"	0.0716509
cutback	0.0706211
dissolution	0.0691617
takeover	0.066445
consolidation	0.0654731
ceremony	0.0644275
completion	0.0637241
establishment	0.0622275
conclusion	0.0621515
decommissioning	0.0617191
layoff	0.0615556
creation	0.0611145
upgrading	0.0607219
Presidium	0.059783
resumption	0.0581938
seizure	0.0579857
divestiture	0.0574977
adjournment	0.0574636
expansion	0.0566582
"job cut"	0.0566133
launching	0.0564108
hosting	0.0556383
removal	0.0552664
setting-up	0.0547212
destruction	0.0543177
demise	0.0542418
reduction	0.0537259
"price increase"	0.0535606
withdrawal	0.0535156
revamping	0.053243
demolition	0.0532336
Privatization	0.052878
shake-up	0.052517
suspension	0.0524903
liquidation	0.0523208
"spending cut"	0.0522955
disappearance	0.0522925
naming	0.0521357
Dismissal	0.0520525
acquisition	0.0518802
merger	0.0518462
scrapping	0.0515934
renovation	0.0514623
termination	0.0513953
breakup	0.0513934
"police action"	0.0513774
commencement	0.051168
confiscation	0.0509539
spate	0.0508039
introduction	0.0506834
slowdown	0.0506829
deregulation	0.0505851
pullout	0.050176
downsizing	0.0499239
elimination	0.0497461
shakeout	0.0494555
bombing	0.0494129
firing	0.0492564
lowering	0.0488949
Liberalization	0.0488888
"name change"	0.0488169
resignation	0.0486307
overhaul	0.0485978
"work stoppage"	0.0484733
seconds	0.048262
boycott	0.048168
"price cut"	0.0479537
sickout	0.0478972
walkout	0.0476318
reshuffle	0.0475493
stoppage	0.047478
plenum	0.0474155
licensing	0.0473374
disruption	0.0472796
evacuation	0.0471575
devaluation	0.0469178
"budget cut"	0.0468817
weakening	0.0467885
departure	0.0465198
continuation	0.0462963
Proliferation	0.046289
burning	0.046057
"rapid growth"	0.0456434
breakdown	0.0455968
dismantling	0.0455872
formation	0.0454768
expulsion	0.045299
narrowing	0.044998
"cost cutting"	0.0449936
enlargement	0.0448415
annulment	0.0448162
conversion	0.0447037
desegregation	0.0446876
lifting	0.0444638
rash	0.044284
commissioning	0.0442602
restoration	0.0437897
nationalization	0.0437351
ouster	0.0435114
"Fifth Session"	0.0433641
finalization	0.0432663
deployment	0.043227
exodus	0.0431057
founding	0.0429696
"council meeting"	0.0429636
cleanup	0.0429531
signing	0.0429424
downturn	0.0429401
handover	0.0429327
bankruptcy	0.0429141
repeal	0.0429039
adoption	0.0428073
deterioration	0.042732
oversupply	0.0426709
reevaluation	0.0426145
blockade	0.042572
"management change"	0.0425121
sacking	0.0423397
retrenchment	0.0421949
shakeup	0.0418759
abolition	0.041592
"first minute"	0.0412977
glut	0.0412786
repatriation	0.0410567
shortage	0.0410479
bombardment	0.0410012
emergence	0.0409782
"policy change"	0.0409721
initiation	0.0409491
shutting	0.040919
imposition	0.0407515
rejection	0.0407111
anniversary	0.0406946
issuance	0.0405584
buyout	0.0405456
depreciation	0.0405403
reversal	0.0404938
influx	0.0404705
crackdown	0.0401656
promulgation	0.0400693
))
("closing price" (desc 13084.2) (sims
"offering price"	0.136235
"list price"	0.0999139
"offer price"	0.0975792
"book value"	0.0801142
valuation	0.0799465
mutuel	0.0798838
"tender offer"	0.0792132
"market value"	0.0780106
"Hang Seng China-Affiliated Corporations Index"	0.077748
selloff	0.0738939
"purchase price"	0.0711971
"bid price"	0.0655544
"retail price"	0.0637668
"asset value"	0.0616058
earnings	0.060254
sell-off	0.0590974
"earning per share"	0.0590618
"Al Hayat"	0.0590256
"exchange rate"	0.0571371
p/e	0.0555836
rainout	0.0554022
"Gulf News"	0.0551012
premium	0.0549707
"average cost"	0.0533111
"Alam Al Yom"	0.0531791
"International Badminton Federation"	0.0529742
"dividend yield"	0.0529275
"Zambia Daily Mail"	0.0528932
"New Vision"	0.0506631
"service charge"	0.0504869
turnover	0.0496599
"minimum wage"	0.0492138
"growth rate"	0.0486859
"selling price"	0.0479181
capitalization	0.0476175
pro-am	0.0474018
"trading session"	0.0462503
"Jakarta Post"	0.0461308
"turnover rate"	0.0458016
"initial public offering"	0.0451974
"market expectation"	0.0451675
occupancy	0.0448688
projection	0.0444003
"Bull Run"	0.0438627
"East African Standard"	0.0437699
"New Light"	0.0434216
gyration	0.0433376
weigh-in	0.042957
"asking price"	0.0426165
"practice session"	0.0422688
"Daily Nation"	0.0415493
"price tag"	0.0412075
volatility	0.0411394
"Business Day"	0.040528
dividend	0.0405018
))
(closings (desc 10209.7) (sims
closure	0.178733
"plant closing"	0.146374
layoff	0.122453
cutback	0.12081
"job cut"	0.11871
realignments	0.115474
divestitures	0.115408
consolidation	0.112031
shutdown	0.109744
closedown	0.109481
"budget cut"	0.107685
restructurings	0.107394
"management change"	0.10658
"tax increase"	0.102742
downsizing	0.102148
reorganization	0.0988347
closing	0.0965891
"rate hike"	0.0954182
cancellation	0.0947678
"rate increase"	0.0922254
"cost cutting"	0.0916116
relocation	0.0910588
"earnings disappointment"	0.0891032
"price increase"	0.0846124
"tax hike"	0.082957
"rate rise"	0.0825106
retrenchment	0.0823809
outages	0.0818661
reduction	0.0813606
"spending cut"	0.0803615
belt-tightening	0.0802569
"rate cut"	0.0798162
"stock split"	0.0797778
shakeout	0.0797732
"interest rate increase"	0.0793454
restructuring	0.0791308
"price cut"	0.0776612
"wage freeze"	0.0752221
"power failure"	0.074789
"asset sale"	0.0742697
"name change"	0.0740401
bankruptcy	0.0738101
outage	0.0716116
postponement	0.0714213
"pay cut"	0.0708942
merger	0.070568
"management shakeup"	0.0692984
"work stoppage"	0.0690004
attrition	0.0687573
Dismissal	0.0679012
"bank failure"	0.0674866
realignment	0.0674682
drownings	0.0674008
sell-offs	0.0669617
divorce	0.0666791
liquidation	0.0664782
Tightening	0.0664382
reopening	0.0661906
spraying	0.0661584
takeover	0.0661338
tie-up	0.065873
defection	0.0657042
stoppage	0.0654868
breakup	0.0654596
buyout	0.0650787
selloffs	0.0648117
divestiture	0.0645522
"policy change"	0.064538
shortage	0.064494
evacuation	0.0644159
spinoffs	0.0631947
hike	0.0629521
"price reduction"	0.0627902
mega-mergers	0.0626016
devaluation	0.0622611
pullout	0.061944
blackout	0.0619341
disruption	0.0614739
"bankruptcy filing"	0.0614328
cleanup	0.0612199
expansion	0.0611275
"crop failure"	0.0608458
reshuffle	0.0607882
"cost overrun"	0.0604686
acquisition	0.0604319
"accounting problem"	0.0602988
removal	0.059834
flooding	0.0597962
deregulation	0.0597513
revision	0.0595651
buybacks	0.0595177
privatizations	0.0595107
sickout	0.0593087
Privatization	0.0590895
"price war"	0.0589656
fatality	0.0587996
slowdown	0.0587666
congestion	0.0587446
termination	0.0581311
seizure	0.0580734
write-off	0.0580591
famine	0.0579743
megamergers	0.0571955
mishap	0.0570943
expulsion	0.0570359
overhaul	0.0568569
simplification	0.0568166
nationalization	0.0566831
retrial	0.0558379
intervention	0.0558346
break-in	0.0555669
"initial public offering"	0.0555532
shakeup	0.0555055
"financial loss"	0.0553021
inspection	0.0548889
adjustment	0.0547028
hospitalization	0.0545976
suspension	0.05458
"fatal accident"	0.0545426
activation	0.0544406
deployment	0.0543748
derailment	0.0543658
severance	0.0543303
Liberalization	0.0542364
withdrawal	0.0542127
shortfall	0.0540159
visitation	0.0539281
spinoff	0.0538157
restriction	0.053799
modification	0.0536982
eviction	0.0536424
interruption	0.05361
shrinkage	0.0536096
"wage increase"	0.0533429
glitch	0.0532725
austerity	0.0529517
"cold snap"	0.0528236
degradation	0.0524993
"rain shower"	0.0524576
diversification	0.0521413
"earnings growth"	0.0519842
retirement	0.0519612
depreciation	0.0518173
walkout	0.0516676
"safety measure"	0.0516455
"acid rain"	0.0515976
"pay raise"	0.0513789
drought	0.0511477
spillage	0.0510136
elimination	0.0509299
firing	0.0508743
recession	0.0505934
demolition	0.0505042
meltdowns	0.0502405
"tax change"	0.050236
spacewalks	0.0502011
easing	0.0500492
revamping	0.0500444
"enforcement action"	0.0499844
divestment	0.0499202
moratorium	0.0498621
goer	0.0498078
"expansion plan"	0.0497843
subsidence	0.0497644
reapportionment	0.049739
breakdown	0.049714
downturn	0.049654
conversion	0.049587
"production problem"	0.0494092
"military action"	0.0493697
turbulence	0.0493596
"bad weather"	0.0493497
"tax break"	0.0493141
frontage	0.0492552
desegregation	0.049182
concession	0.0491767
destruction	0.0491273
foreclosure	0.0491032
pandemic	0.0490948
maintenance	0.0490806
calamity	0.0490464
disturbance	0.0490031
"interest rate"	0.0489993
drawdown	0.0489658
shake-up	0.0489593
Demutualization	0.0488258
licensing	0.0488229
malfunction	0.0487487
pileup	0.0486814
"brush fire"	0.0486763
downturns	0.0486727
exhumation	0.0486565
hiring	0.0486526
upheaval	0.0485578
"human activity"	0.0484744
overcapacity	0.0484572
Typhoon	0.0482247
landslide	0.0482169
"forest fire"	0.0481322
erosion	0.0480424
))
(closure (desc 56031.4) (sims
closings	0.178733
shutdown	0.17846
closing	0.149004
layoff	0.147771
cancellation	0.132065
suspension	0.13065
reopening	0.128375
blockade	0.120899
ban	0.118165
relocation	0.113315
sanction	0.111784
removal	0.110827
Privatization	0.110003
closedown	0.108817
freeze	0.108061
withdrawal	0.107961
embargo	0.107275
reorganization	0.106799
postponement	0.106126
cutback	0.10584
Dismissal	0.105692
strike	0.105402
liquidation	0.104954
retrenchment	0.102806
reduction	0.102516
takeover	0.102275
delay	0.101457
expansion	0.101279
consolidation	0.101064
confiscation	0.100932
seizure	0.100545
bankruptcy	0.100216
expulsion	0.0996596
collapse	0.0995891
"job cut"	0.0979038
moratorium	0.0969142
blackout	0.0968522
slowdown	0.0966821
deportation	0.0955242
arrest	0.0955095
devaluation	0.0947949
curfew	0.0942507
shortage	0.0940984
disruption	0.0938831
resignation	0.0937456
"price increase"	0.0932821
detention	0.0930599
termination	0.0923787
restriction	0.0921545
walkout	0.0916065
destruction	0.0915915
merger	0.0912271
demolition	0.0905555
hike	0.0904271
downsizing	0.0902151
bombing	0.0897542
evacuation	0.0897439
crackdown	0.0895099
construction	0.0892855
deployment	0.089174
transfer	0.0889766
elimination	0.0886225
restructuring	0.0884644
pullout	0.0884312
boycott	0.0871529
failure	0.0867701
breakup	0.0858894
intervention	0.0858495
release	0.0854348
action	0.0848428
"plant closing"	0.0847135
stoppage	0.0845828
breakdown	0.0841415
departure	0.0838662
change	0.0837402
cease-fire	0.0837377
"budget cut"	0.083622
downturn	0.0834218
instability	0.0827979
"military action"	0.0827944
settlement	0.0825152
airstrikes	0.0824646
divestiture	0.0822592
opening	0.0822294
censorship	0.0822145
acquisition	0.0820495
"work stoppage"	0.0814893
Execution	0.0811078
occupation	0.0810374
inspection	0.0808353
decision	0.0802258
cut	0.0801988
operation	0.079927
realignment	0.0797856
drought	0.0796861
crisis	0.0796328
"tax increase"	0.0795105
reform	0.0795018
measure	0.0793959
turmoil	0.0789837
eviction	0.078512
disclosure	0.0783746
deregulation	0.0783584
depreciation	0.078088
firing	0.078074
adjustment	0.0773902
lifting	0.0773087
completion	0.0772239
recession	0.0770742
renovation	0.0770039
reshuffle	0.0769657
extinction	0.0768863
retirement	0.0768601
raid	0.0768038
disaster	0.0766042
decline	0.0763883
Liberalization	0.0763608
rejection	0.0761599
deadlock	0.0759395
establishment	0.0757233
resumption	0.0756156
attack	0.0755365
"rate cut"	0.0753671
"cost cutting"	0.0753278
absence	0.0749997
policy	0.0748958
lockout	0.0748727
creation	0.0748126
rehabilitation	0.0746689
repatriation	0.0745703
annexation	0.0744815
slump	0.0740567
development	0.0735262
violence	0.0734503
explosion	0.0732744
loss	0.0732169
paralysis	0.0731749
pullback	0.073127
defection	0.0730133
famine	0.0729783
nationalization	0.0728528
deterioration	0.0726338
insolvency	0.0725851
killing	0.0724694
"rate hike"	0.0724568
renewal	0.0723588
ruling	0.0721612
unrest	0.0720863
control	0.0720505
dissolution	0.0718322
siege	0.071816
flood	0.0714802
Tightening	0.0714546
"rate increase"	0.0714307
stalemate	0.0713355
management	0.071326
activity	0.0713201
meltdown	0.0713126
purchase	0.0712933
appointment	0.0709707
invasion	0.0707828
isolation	0.070781
bombardment	0.0707539
confrontation	0.0705617
"name change"	0.0705253
shelling	0.0703304
Implementation	0.0701913
overhaul	0.0701009
regulation	0.0700965
adjournment	0.0697888
handover	0.0696716
restoration	0.0696052
ceasefire	0.0694185
extension	0.0692078
sale	0.0690863
imprisonment	0.069075
separation	0.0689886
integration	0.0689843
amnesty	0.068731
catastrophe	0.0686083
halt	0.0685197
announcement	0.0684312
escalation	0.0682966
influx	0.0678967
demise	0.0677172
clash	0.0676714
agreement	0.0676224
unemployment	0.0675045
default	0.0674696
"policy change"	0.0674397
sentence	0.0670533
shift	0.067006
tariff	0.0669773
"spending cut"	0.0669449
punishment	0.0669077
reversal	0.0668047
presence	0.0666206
"rapid growth"	0.0666029
registration	0.0665876
"economic crisis"	0.0665785
))
(clot (desc 3795.79) (sims
"blood clot"	0.244397
blockage	0.186193
gallstone	0.153898
aneurysm	0.144339
"ice crystal"	0.119341
cyst	0.11692
clotting	0.113235
hemorrhage	0.108442
gangrene	0.101727
abscess	0.100752
"blood vessel"	0.100741
"kidney stone"	0.100337
lesion	0.0985286
abnormality	0.0871059
cataract	0.085407
polyp	0.0846816
"plant disease"	0.0841006
"short circuit"	0.0837704
melanoma	0.083177
tumor	0.0829154
ulcer	0.0815641
inflammation	0.0812394
bleeding	0.0811901
"air bubble"	0.0800911
hernia	0.0788464
relapse	0.0785273
malfunction	0.0779766
"heart failure"	0.076189
"skin cancer"	0.0754249
mutation	0.0726885
rupture	0.0719679
swelling	0.0718249
atherosclerosis	0.071237
artery	0.0706451
"heart disease"	0.0706275
droplet	0.0701377
rollovers	0.069173
plaque	0.06861
"crop failure"	0.0672743
spillage	0.0671295
influenza	0.0670302
Osteoporosis	0.0666373
tissue	0.0664344
fibroids	0.0656859
"cardiovascular disease"	0.065638
mudslide	0.0654074
clump	0.0652198
ailment	0.0651673
nodule	0.0650514
spasm	0.0647843
vibration	0.0647232
complication	0.0645704
"chemical reaction"	0.064421
incision	0.0638152
stents	0.0637036
catheter	0.0632095
"flash flood"	0.0629732
"liver disease"	0.0629461
anemia	0.0622814
malignancy	0.0611321
sandstorm	0.061044
deformity	0.060963
neuron	0.0609207
fibrillation	0.0607624
bronchitis	0.0607364
serotonin	0.0606769
contaminant	0.0605545
miscarriage	0.0603355
malformation	0.0602177
"nerve cell"	0.0601792
"heart attack"	0.0601022
"hot flash"	0.0599731
PCBs	0.05989
parasite	0.059459
"high blood pressure"	0.0593744
"eye disease"	0.0593175
"tooth decay"	0.0592229
"acquired immune deficiency syndrome"	0.0592196
antibody	0.0591939
apnea	0.059054
blister	0.0586294
"power failure"	0.0585443
hyphen	0.0584284
microorganism	0.0581302
osteoarthritis	0.0581165
pneumonia	0.0580077
"brain tumor"	0.0576682
cholesterol	0.0576464
adulteration	0.0572617
"market correction"	0.057132
decompression	0.0570769
protein	0.0570766
buildup	0.0570287
"temperature change"	0.056814
antifreeze	0.0567428
"human activity"	0.0566509
"neurological disease"	0.0563522
"rheumatoid arthritis"	0.0559188
"sonic boom"	0.0558293
allergy	0.0557569
"cash crunch"	0.0553337
lump	0.0553135
"sexually transmitted disease"	0.055272
"accounting problem"	0.0552603
condensation	0.0551982
leakage	0.0551953
hypertension	0.0551459
"skin disease"	0.0551423
heartburn	0.0547118
"respiratory disease"	0.054707
neurotransmitter	0.0546209
USSR	0.0544863
"food poisoning"	0.0544677
imbalance	0.0544233
"chemical compound"	0.0542496
arrhythmia	0.0540997
calamity	0.0538448
transfusion	0.0536949
angiogenesis	0.0536905
dispersion	0.0536726
dehydration	0.0536064
molecule	0.0535183
mildew	0.0534004
side-effects	0.0532582
"genetic disease"	0.0532167
"cold spell"	0.0531761
germ	0.0530629
"chemical agent"	0.0530486
cramp	0.0529997
Meningitis	0.0527873
deafness	0.0526773
diarrhea	0.052605
"engine failure"	0.0525573
shedding	0.0524898
gland	0.0524599
corrosion	0.05244
"woman's body"	0.0524251
"malignant tumor"	0.0523626
flare-up	0.0521737
"mental disorder"	0.0520295
impurity	0.0520128
mixup	0.0520031
malady	0.0518963
degeneration	0.0518027
sunburn	0.0516541
Whiting	0.0515736
bends	0.0514836
berm	0.0514384
bulge	0.051048
cryptosporidium	0.051016
microbe	0.0510031
scab	0.050995
"water vapor"	0.0508665
enzyme	0.0508584
lining	0.0507961
"colon cancer"	0.0506634
downdraft	0.0505526
"lung cancer"	0.0505523
shakeout	0.0503201
coli	0.0501867
helix	0.050184
bottleneck	0.0501224
overdose	0.0501124
"skin rash"	0.0500849
"dog bite"	0.0500684
toxin	0.0500491
mucus	0.0500366
"free radical"	0.0499655
angina	0.0499449
insomnia	0.0499029
flareup	0.0498171
"electric current"	0.0497959
"cancer cell"	0.0497909
landslide	0.0497512
cirrhosis	0.0497313
receptor	0.0496396
electron	0.0495126
ruckus	0.0494175
"traffic jam"	0.0494072
deflation	0.0492507
"two lines"	0.0492494
bacterium	0.0491336
trachoma	0.0491325
syndrome	0.0490781
"United Republic of Tanzania"	0.049004
"three schools"	0.0489093
"commercial enterprise"	0.048867
malnutrition	0.0488388
wart	0.0485868
bacteria	0.0485462
poisoning	0.0484931
organism	0.0483568
Stinger	0.0483152
Calcium	0.0483086
"lead poisoning"	0.0482654
"heart condition"	0.0481854
hardening	0.0481804
accumulation	0.0481793
"blood cell"	0.0481573
infestation	0.0481399
))
(cloth (desc 118738) (sims
Clothing	0.276867
shirt	0.200621
shoe	0.195473
dress	0.192462
fabric	0.174611
furniture	0.164599
jacket	0.16176
T-shirt	0.157693
jewelry	0.15736
uniform	0.155128
blanket	0.154387
garment	0.154193
sweater	0.153334
pant	0.152279
towel	0.151453
coat	0.147512
jean	0.146149
toy	0.143669
costume	0.139839
hat	0.138154
linen	0.137606
leather	0.136106
underwear	0.134577
scarf	0.134078
apparel	0.131353
food	0.131118
sock	0.130694
carpet	0.130468
gown	0.12958
skirt	0.129127
Outfit	0.127933
accessory	0.127389
bag	0.125859
suit	0.125165
item	0.124668
silk	0.122194
hair	0.122152
furnishings	0.12078
robe	0.119776
mattress	0.116093
sheet	0.115716
sunglasses	0.115381
merchandise	0.115363
handbag	0.115269
plastic	0.114498
goods	0.114051
glass	0.113246
rug	0.112897
sneaker	0.1125
fur	0.111972
diaper	0.11181
gear	0.111523
cosmetic	0.1103
appliance	0.10996
rag	0.109851
textile	0.109645
quilt	0.108833
boot	0.107193
material	0.106498
flower	0.105975
"blue jean"	0.105718
footwear	0.104416
equipment	0.104329
product	0.104253
jersey	0.103563
mask	0.103554
overcoat	0.103197
paper	0.10245
vest	0.102409
lingerie	0.101091
trouser	0.101071
car	0.100819
wardrobe	0.100364
stuff	0.100298
pillow	0.100196
sweatshirt	0.0999632
utensil	0.0999095
bedding	0.0997619
wool	0.099444
clothes	0.0993238
glove	0.0981526
wig	0.0980801
blouse	0.0980486
bottle	0.0966807
paint	0.0964531
sportswear	0.0963679
helmet	0.0961131
box	0.09608
cotton	0.096063
sandal	0.0958359
backpack	0.0953902
metal	0.0953372
belonging	0.0945343
painting	0.0943236
garb	0.093443
tile	0.0933441
pajama	0.0929823
color	0.0928588
"household appliance"	0.0925771
foodstuff	0.0912286
piece	0.091073
tent	0.0908145
doll	0.0904893
wine	0.0904217
fashion	0.0903558
bra	0.0895775
denim	0.089392
"leather jacket"	0.0889634
apron	0.088637
skin	0.0883772
machinery	0.0882347
yarn	0.0881942
medicine	0.0875152
handicraft	0.0874353
"bathing suit"	0.0872246
style	0.0869808
book	0.0865323
attire	0.0861096
"building material"	0.086076
pants	0.0860397
decoration	0.0858009
chair	0.0857359
dish	0.0857349
Pottery	0.0855374
luggage	0.0853329
meat	0.085238
vegetable	0.0850645
ornament	0.0850332
wood	0.0850244
grocery	0.0846697
music	0.0846055
fruit	0.0845165
soap	0.084389
suitcase	0.0843043
gift	0.0841013
tablecloth	0.0838516
wallpaper	0.0837122
cap	0.0834252
makeup	0.0831249
souvenir	0.0830964
object	0.0829156
"baseball cap"	0.0828137
ribbon	0.0825735
candle	0.0823425
perfume	0.0823063
cigarette	0.0822753
lamp	0.0822638
parka	0.0822115
steel	0.0814619
brick	0.0813823
"business suit"	0.0813456
upholstery	0.0811977
photograph	0.0810171
ceramic	0.0809991
curtain	0.0807646
design	0.0807363
jumpsuit	0.0807166
tuxedo	0.0806763
slack	0.0806649
sleeve	0.0805259
"sleeping bag"	0.0804973
"paper towel"	0.080295
shawl	0.0799991
tool	0.0795926
Beer	0.0795794
beret	0.0795219
antique	0.0795192
gadget	0.0793686
print	0.0791346
bread	0.0788597
look	0.0784823
picture	0.0783928
laundry	0.0783054
carpeting	0.078231
tire	0.0779149
tunic	0.0778338
"fur coat"	0.077809
memorabilia	0.077793
sculpture	0.0777064
pad	0.0773094
Computer	0.0772832
Coin	0.0771561
flag	0.0769396
meal	0.076846
electronics	0.0768229
khaki	0.0767189
automobile	0.0765353
detergent	0.076477
leaf	0.0764245
cement	0.0764234
tape	0.0764138
toothbrush	0.0762359
candy	0.0760906
artwork	0.0759527
turtleneck	0.0757187
watch	0.0756101
cashmere	0.0755914
image	0.0754427
velvet	0.0754095
canvas	0.075256
))
(clothes (desc 2659.99) (sims
blinder	0.0856389
"running shoe"	0.0800565
sportswear	0.0777311
blinker	0.0703166
hang-up	0.0641919
"Palm III"	0.0628937
Walkman	0.0626303
undershirt	0.0626242
"life preserver"	0.0621773
tux	0.061939
apparel	0.0614132
"evening bag"	0.0611545
"boxing glove"	0.0595465
underwear	0.0591956
frock	0.0590186
"evening gown"	0.0583481
overcoat	0.0580853
"baseball glove"	0.0575577
wardrobe	0.0575385
Hummer	0.0569939
Powerbook	0.0563783
"guardian angel"	0.0560575
"mink coat"	0.0559516
molar	0.0558524
"grocery bag"	0.0554728
knockoffs	0.0553363
"life vest"	0.0548408
attire	0.0540459
diaper	0.0533831
wristband	0.0529875
beany	0.0529857
dowager	0.0529078
grout	0.0527856
bib	0.0526853
Pantsuits	0.0524512
duster	0.0523543
personae	0.0521396
"Dolce &AMP; Gabbana"	0.0520419
"ball gown"	0.051969
pajama	0.0515225
seatbelt	0.0514768
typeface	0.0511821
"cream puff"	0.0509209
pantry	0.0505181
"tennis shoe"	0.0504184
pasty	0.0500588
gown	0.0500313
BMI	0.0499821
cockiness	0.0499733
earplugs	0.0498919
Veronica	0.0495997
inhibition	0.0494898
"wedding dress"	0.0493039
Rolex	0.0490494
nightgown	0.0485368
"fellow traveler"	0.0484092
"thermonuclear warhead"	0.048344
Riesling	0.0482868
spacesuit	0.0482572
prosthesis	0.0481723
finery	0.0479792
goggles	0.0478615
"summer house"	0.0477004
regalia	0.0476263
clicker	0.0475403
handbag	0.0475402
knickers	0.0473256
"fur coat"	0.0473154
"credit history"	0.0473153
"B&AMP;B"	0.0471077
trouser	0.0470728
pantyhose	0.0469406
mattress	0.0469078
swimsuit	0.0468599
"dark glasses"	0.046857
bathrobe	0.0468211
fishnet	0.0466739
"hypodermic needle"	0.0465963
COUTURE	0.0465698
"frame of reference"	0.0465472
furnishings	0.046538
tights	0.0464641
"mind's eye"	0.0463698
camcorder	0.0463054
"leisure time"	0.0463004
zinger	0.0462301
sobriquet	0.0461674
wristwatch	0.0459517
plasterboard	0.0459066
wader	0.0458783
cladding	0.045834
sandal	0.0457647
"business suit"	0.0453195
"telephone booth"	0.0452475
"dress uniform"	0.0452276
"septic tank"	0.045215
pantsuit	0.0450593
"Volkswagen Beetle"	0.0449141
"bathing suit"	0.0447466
"toilet paper"	0.0447177
"wrapping paper"	0.0446454
bodysuit	0.0445451
digs	0.0444954
eyeglass	0.044423
ism	0.0444017
toupee	0.0443469
"natural ability"	0.0441896
witticism	0.0441843
toolbox	0.0441713
baby-boomers	0.0441662
"tone of voice"	0.0441214
bluejeans	0.0441034
feelings	0.0440754
classifieds	0.0440413
"engagement ring"	0.0439737
PIERCINGS	0.043935
slipper	0.043888
fashions	0.0435778
boutique	0.0435147
"bulletproof vest"	0.0434288
Vibe	0.0433333
ass	0.0431742
brassiere	0.0430657
"hunting ground"	0.0430585
earphone	0.0430201
"pants suit"	0.0429227
cityscape	0.042788
beeper	0.0425989
sneaker	0.0424908
garb	0.0423975
G-string	0.0422119
"bank note"	0.0421867
houseplant	0.0421857
"medicine cabinet"	0.0420374
cashmere	0.0420204
bedding	0.0417953
scrubs	0.0417819
hubcap	0.0416916
gizmo	0.041688
"line of work"	0.0416151
"beach towel"	0.0412334
Scrooge	0.0412265
"ponderosa pine"	0.0412238
hairpiece	0.0412094
"bowler hat"	0.0412081
"personal relation"	0.0411843
"body armor"	0.0411803
RV	0.0411735
livery	0.041147
"take-home pay"	0.0411447
barrette	0.0411122
bellbottoms	0.0410777
DeVille	0.0410631
blackness	0.0410374
stocking	0.0409929
adrenaline	0.0408943
politeness	0.0408765
DV	0.0408385
paneling	0.0406886
khaki	0.040637
spandex	0.0405989
penmanship	0.040579
miniskirt	0.0405488
"blue jean"	0.0405468
threads	0.0404389
bodysuits	0.0403338
countertop	0.0403289
Thong	0.040223
"neck brace"	0.0401664
))
(clothesline (desc 1346.82) (sims
outhouse	0.0762628
hustings	0.0751456
lean-to	0.0683803
"air duct"	0.0674764
"lounge chair"	0.0662934
trapeze	0.066004
earthwork	0.0635294
"boxing glove"	0.0630272
"extension cord"	0.0628085
pillowcase	0.0581836
Pacifier	0.0581813
"wedding reception"	0.0574667
"pocket watch"	0.0571651
"card table"	0.05682
outcroppings	0.0567084
"shower curtain"	0.0559043
streamer	0.0535498
"grocery bag"	0.0534508
"water tank"	0.0533033
cask	0.052646
"Ma Bell"	0.051452
"tennis racket"	0.0511942
"table of contents"	0.0510847
"black flag"	0.0510352
gourd	0.0505112
"farmer's market"	0.0489987
mitzvah	0.0483073
"air filter"	0.0479397
"skating rink"	0.0477456
"army engineer"	0.0475398
bedspread	0.0473991
"sprinkler system"	0.0467016
"exhibition area"	0.0466519
"mushroom cloud"	0.046579
"water pump"	0.0464851
tabletop	0.0463754
footbridge	0.0459569
"dining area"	0.0459509
reenactment	0.0458956
trellis	0.0458663
"lighting fixture"	0.0458636
cudgel	0.0456558
shanty	0.0453432
"herb garden"	0.0444949
flack	0.0444665
"ice rink"	0.0443135
effigy	0.0440746
crock	0.0439522
"basketball court"	0.0432904
"bunk bed"	0.0431473
"golf bag"	0.0431247
pinata	0.0430344
potty	0.0430128
drywall	0.0429904
"computer language"	0.0427723
GRIDDLE	0.0427348
"tin can"	0.0426735
shaver	0.0425401
"railroad station"	0.0425366
"water tower"	0.0423485
"chain letter"	0.0423211
grater	0.0423068
Igloo	0.0422356
Miata	0.0421183
blimp	0.042069
"instruction manual"	0.0420322
accoutrement	0.0419607
"chamber orchestra"	0.041868
"off-speed pitch"	0.0416793
led	0.0416356
dowel	0.041557
scaffolding	0.0415117
"dining table"	0.0413382
"Polo Grounds"	0.0412234
"rock climbing"	0.0411186
thermometer	0.0411079
racquet	0.0407314
"car race"	0.0406418
"economic value"	0.0405939
"septic tank"	0.0403759
"fig leaf"	0.0401155
beater	0.0400958
toothbrush	0.0400634
))
(Clothier (desc 2058.76) (sims
"specialty store"	0.110902
"retail chain"	0.093812
"clothing store"	0.0920319
jeweler	0.0911124
"department store chain"	0.090939
merchandiser	0.0835762
"clothing chain"	0.0815703
Calcavecchia	0.0804207
Fuhrman	0.0802263
eateries	0.079629
"Neiman Marcus"	0.0789067
Proctor	0.0749341
"Betsey Johnson"	0.0740014
"discount chain"	0.0731717
discounter	0.0709781
nightspot	0.067673
duds	0.0660308
"UNIX operating system"	0.0653876
stockbroker	0.0640692
"computer store"	0.0636907
"auction house"	0.0635798
"shoe store"	0.0629253
boutique	0.0622577
mag	0.061296
resellers	0.0594989
"fashion designer"	0.0594444
"Bergdorf Goodman"	0.0581149
Langston	0.0576872
"police sergeant"	0.0576542
auctioneer	0.0571934
emporium	0.0554745
Loretta	0.0554051
alderman	0.0551354
Steakhouse	0.0547464
"police lieutenant"	0.0543836
housewares	0.0541464
psychoanalyst	0.0539094
"furniture company"	0.0536546
experimenter	0.0532257
sportswear	0.053225
"World Court"	0.0526306
"toy retailer"	0.0524505
mortuary	0.0523365
"political boss"	0.0520084
Rosales	0.0516208
"printing company"	0.0515648
"Honda Civic"	0.0512405
"plastic surgeon"	0.0511725
varietals	0.0511223
"European Court of Justice"	0.0508626
"auto manufacturer"	0.0507956
caterer	0.0506275
"investment adviser"	0.0500653
bluesman	0.0497918
"insurance agent"	0.0496881
"dry cleaner"	0.0490824
abbot	0.0490356
"brokerage unit"	0.0489894
transnationals	0.0489776
Allergist	0.0487528
"coffee shop"	0.0486918
apparel	0.0484524
decorator	0.0482893
"interior designer"	0.0482366
portraitist	0.0481511
hotelier	0.0480868
grocer	0.0479627
Ducati	0.0478274
"residential district"	0.0475835
obstetrician	0.0473154
"law practice"	0.0472717
Foods	0.0472342
"restaurant chain"	0.0470543
drugstore	0.0470316
"toy store"	0.0466032
"track event"	0.0465631
"chain store"	0.0465191
bohemian	0.046372
pawnshop	0.0462924
"aerospace engineer"	0.0462266
Supercenters	0.0461774
Hawn	0.045666
saleswoman	0.0456541
fashions	0.0456115
pediatrician	0.0456064
hobbyist	0.0455553
"US Supreme Court"	0.045551
bistro	0.0455346
Gunmakers	0.0451916
Profiler	0.0450772
pharmacologist	0.0449895
Bostonian	0.0449219
"television star"	0.0448066
Nordstrom	0.0447911
"disk jockey"	0.044764
hairstylist	0.0447031
quilting	0.0445033
newspaperman	0.044482
"Frederick Law Olmsted"	0.0441659
"foreign service officer"	0.0438875
"Tex Winter"	0.0438541
burg	0.0438394
bellhop	0.0438363
bootlegger	0.0437891
"John Bartlett"	0.043773
Slater	0.043676
Lacey	0.0436405
knoll	0.0436348
plutocrat	0.0434868
"Sharper Image"	0.0433422
copywriter	0.0433134
Postmaster	0.0430269
"ballet dancer"	0.0429583
aperitif	0.0429092
deli	0.0428388
major-leaguers	0.0426756
purveyor	0.0425529
nightspots	0.042454
nuptials	0.0424386
raver	0.042365
Blazevic	0.0423207
subgenre	0.0422168
"management consultant"	0.0422087
"movie house"	0.042052
"purchasing agent"	0.0419317
"Erie Canal"	0.0418691
"Lord &AMP; Taylor"	0.0417946
swinger	0.0417353
"civil engineer"	0.0416291
Shinn	0.0416144
cartographer	0.041575
oddsmakers	0.0414656
"government minister"	0.0414179
stuntman	0.0412162
"luxury liner"	0.0410999
vaulter	0.0408393
socialite	0.040835
"opera star"	0.0407881
"Jocelyn Thibault"	0.0407551
emachines	0.0407481
Fragrance	0.0406856
musicologist	0.0406299
sportswriter	0.0405394
"market maker"	0.0402497
"jewelry store"	0.0401664
"Planet Hollywood"	0.0401225
evangelist	0.0400923
"pinball machine"	0.040009
Rossotti	0.0400024
))
(Clothing (desc 78083.5) (sims
cloth	0.276867
apparel	0.227957
garment	0.207744
jewelry	0.202697
furniture	0.196389
shoe	0.184507
footwear	0.174523
toy	0.160139
textile	0.159227
merchandise	0.158794
goods	0.15718
shirt	0.156227
dress	0.155608
cosmetic	0.154779
food	0.154624
appliance	0.154205
furnishings	0.153985
accessory	0.151939
T-shirt	0.150757
foodstuff	0.147467
item	0.147109
"household appliance"	0.145876
machinery	0.14294
jacket	0.142382
sweater	0.136746
product	0.136709
sportswear	0.136541
jean	0.136053
fabric	0.13603
"consumer goods"	0.13473
"building material"	0.132495
handicraft	0.132234
equipment	0.13088
automobile	0.130049
blanket	0.129321
underwear	0.128894
pant	0.12611
handbag	0.125532
uniform	0.125295
electronics	0.124933
bedding	0.124035
medicine	0.124012
costume	0.123437
hat	0.123209
carpet	0.12109
sneaker	0.119118
quilt	0.116538
Outfit	0.1151
pharmaceutical	0.113757
coat	0.113095
leather	0.112714
material	0.11168
scarf	0.111424
overcoat	0.109918
toiletry	0.109828
lingerie	0.10958
"home appliance"	0.10919
cigarette	0.109088
sunglasses	0.108911
diaper	0.108554
gear	0.108423
beverage	0.108382
housewares	0.108273
mattress	0.107777
"consumer electronics"	0.10609
sock	0.10606
perfume	0.105501
ceramic	0.10458
"food product"	0.103926
"blue jean"	0.103921
linen	0.102859
suit	0.102823
auto	0.102774
knitwear	0.102607
plastic	0.102087
hardware	0.102056
utensil	0.101817
wine	0.101624
rug	0.101363
antique	0.100823
fertilizer	0.100364
skirt	0.0998437
wardrobe	0.0996209
commodity	0.099516
kitchenware	0.0993449
"spare part"	0.0991115
car	0.0985149
metal	0.0983171
grocery	0.0983017
stationery	0.0982275
lumber	0.0979376
"raw material"	0.0978622
robe	0.0976957
grain	0.0976679
bag	0.0973035
boot	0.0972107
fuel	0.0967897
fashion	0.0966369
luggage	0.096315
Pottery	0.0962116
gown	0.0952058
Computer	0.0949065
sweatshirt	0.0948779
fur	0.094313
supply	0.0942566
cement	0.093584
chemical	0.0930023
souvenir	0.0928829
vest	0.092718
"sports equipment"	0.0925329
silk	0.0923086
"soft drink"	0.092057
Housing	0.0915642
glass	0.0915035
gift	0.0913643
steel	0.0911872
"motor vehicle"	0.0909556
memorabilia	0.0909307
Beer	0.0907669
attire	0.0903499
towel	0.0903419
semiconductor	0.0903214
"durable goods"	0.0901145
paint	0.0899903
software	0.0897646
"machine tool"	0.089745
trouser	0.0896391
vegetable	0.0896302
wool	0.087564
gasoline	0.0872211
watch	0.0871474
liquor	0.0867638
bra	0.0865412
cotton	0.0863705
CD	0.0863573
mask	0.0863529
book	0.0863193
sheet	0.0860781
eyeglass	0.0860243
doll	0.085973
"musical instrument"	0.0858727
wig	0.0857747
fruit	0.0852641
sandal	0.0850714
"medical care"	0.0850303
backpack	0.0849124
"sleeping bag"	0.0848202
blouse	0.0847416
painting	0.0844415
tent	0.0843086
cookware	0.0843039
garb	0.0841603
flower	0.0841011
meat	0.0840362
tool	0.0839818
tobacco	0.0839422
tea	0.0839238
ornament	0.0837306
Fragrance	0.0835976
"prescription drug"	0.0834675
collectibles	0.0834145
candy	0.0834108
"frozen food"	0.0831945
soap	0.0831744
ticket	0.082885
meal	0.0828343
artwork	0.082803
helmet	0.0823355
glove	0.0822994
jersey	0.0822427
"baseball cap"	0.0820794
"electronic equipment"	0.0817614
pillow	0.0815281
bicycle	0.0815049
"leather jacket"	0.0814395
paper	0.0814018
swimsuit	0.081259
vehicle	0.0812017
"personal computer"	0.0811185
"canned food"	0.0809339
drink	0.0807558
"pet food"	0.0804438
oil	0.0803811
bottle	0.0803409
jewellery	0.0793318
petrochemical	0.0792462
coffee	0.0790903
newsprint	0.07865
"dairy product"	0.0785833
cereal	0.0785116
wheat	0.0784647
rice	0.0784206
belonging	0.0782653
hair	0.0781403
makeup	0.0780647
sheeting	0.0779864
vitamin	0.0779076
khaki	0.0778828
"computer hardware"	0.077798
tableware	0.0775354
))
("clothing chain" (desc 1592.01) (sims
"clothing store"	0.146051
"retail chain"	0.0893927
Clothier	0.0815703
"brokerage unit"	0.0744555
"jewelry store"	0.0672301
"minority interest"	0.06073
"food shop"	0.0597759
"three units"	0.0589339
"department store chain"	0.0587267
householder	0.0582342
"toy store"	0.0544684
"Orange PLC"	0.0544409
florist	0.0531224
"gambling casino"	0.0529712
"trading operation"	0.0528483
sportswear	0.0519285
Travelocity	0.0503604
"manufacturing business"	0.0503332
REIT	0.049426
businesswomen	0.0487542
"broadcasting company"	0.0486516
"bus line"	0.0480246
"Yamaichi Securities Co."	0.0478892
"finance company"	0.0478742
REITs	0.0473406
"supper club"	0.0472512
"computer business"	0.0467271
"specialty store"	0.0459436
spikers	0.0458216
"savings bank"	0.0454305
"TV Land"	0.0442328
"Maple Leaf Gardens"	0.0438386
capris	0.0427518
"Quick &AMP; Reilly"	0.0426739
"Wine Institute"	0.0424897
steed	0.0423423
"proxy fight"	0.0418191
portables	0.0417467
"controlling interest"	0.0416864
crematorium	0.041391
"Chronicle Books"	0.040611
committeeman	0.0405191
chains	0.0403726
))
("clothing store" (desc 8074.63) (sims
boutique	0.184141
"jewelry store"	0.183485
"shoe store"	0.179927
"specialty store"	0.178092
"liquor store"	0.177279
"hardware store"	0.16685
"department store"	0.165088
"grocery store"	0.160961
drugstore	0.158444
"toy store"	0.153479
"convenience store"	0.153065
delicatessen	0.150724
"beauty salon"	0.148901
"clothing chain"	0.146051
bookstore	0.142598
"discount store"	0.141293
"retail store"	0.138063
"art gallery"	0.13682
"coffee shop"	0.134045
eateries	0.12792
bakery	0.126668
supermarket	0.124959
bookshop	0.124476
"movie theater"	0.123131
"gas station"	0.121814
pizzeria	0.121008
"butcher shop"	0.120439
shop	0.119219
"gift shop"	0.118301
dealership	0.11609
"retail chain"	0.115548
deli	0.113331
Pharmacy	0.112495
"Saks Fifth Avenue"	0.111484
"computer store"	0.111071
nightclub	0.110837
salon	0.109348
"food shop"	0.109238
"service station"	0.108867
bistro	0.105874
"funeral home"	0.105634
pub	0.104755
"chain store"	0.103658
mall	0.103083
cafe	0.10298
"repair shop"	0.101673
restaurant	0.100175
"machine shop"	0.100168
Steakhouse	0.0998144
"shopping center"	0.097591
"dry cleaner"	0.0973038
superstore	0.0968324
motel	0.0957495
emporium	0.0952716
tavern	0.0946957
grocery	0.0934786
sawmill	0.0924673
"Rainbow Room"	0.0921311
Clothier	0.0920319
"beauty shop"	0.0911126
"pizza parlor"	0.0909124
outlet	0.089729
parlor	0.0896068
pawnshop	0.0867895
"movie house"	0.0859298
"beauty parlor"	0.0854196
"general store"	0.0850897
"office building"	0.0849515
nightspots	0.0847307
"bowling alley"	0.0846239
"gasoline station"	0.0845946
"candy store"	0.0843809
coffeehouse	0.0843792
discotheque	0.0839416
"shopping mall"	0.0831004
"post office"	0.0826044
showroom	0.081723
"snack bar"	0.0807268
nightspot	0.0807002
mortuary	0.080376
saloon	0.0802193
arcade	0.0800458
Warehouse	0.0791813
"Burger King"	0.0783132
barbershop	0.0783094
dealerships	0.078267
spas	0.0781731
"day care center"	0.0778882
"flea market"	0.0778837
"truck stop"	0.0765221
"radio station"	0.0763058
"travel agency"	0.0761352
jeweler	0.0759672
brothel	0.0759136
"Neiman Marcus"	0.0742176
"department store chain"	0.0740357
"publishing company"	0.0732815
"dance hall"	0.072642
kiosk	0.0718618
"Holiday Inn"	0.0716448
cafeteria	0.0705463
"psychiatric hospital"	0.0705074
"tea house"	0.0703406
florist	0.0698088
Macy	0.0694024
teahouse	0.0690781
"coffee bar"	0.0683806
MCDONALD's	0.0680487
nursery	0.067564
gym	0.0675289
"apartment building"	0.0673446
Williams-Sonoma	0.0672553
SPA	0.0670233
"furniture company"	0.0669052
gallery	0.0668181
apparel	0.0664024
"ticket office"	0.0663752
"nursing home"	0.0663058
"filling station"	0.0657607
"Barnes &AMP; Noble"	0.0652316
"advertising agency"	0.0649988
"brokerage house"	0.064748
retailer	0.0647089
grocer	0.0645902
diner	0.0644874
"printing company"	0.0643592
foundry	0.0643286
Brasserie	0.0641427
inn	0.0641224
"trucking company"	0.063922
kennel	0.0638905
bed-and-breakfast	0.0638374
"gambling casino"	0.0637806
"Best Buy"	0.0631823
newsstand	0.0629886
junkyard	0.0628099
Kmart	0.0626706
"amusement park"	0.0620708
"employment agency"	0.0620689
disco	0.0619913
"Barneys New York"	0.0619837
mill	0.061838
"ad agency"	0.0618178
Bloomingdale's	0.0617759
clinic	0.0614686
"law practice"	0.061057
storefront	0.0607024
cinema	0.0606623
Marina	0.0606026
"recording studio"	0.0603629
"abortion clinic"	0.0603361
laundry	0.0602647
"Print Shop"	0.0600414
"petrol station"	0.0599856
Harrods	0.0599422
"Taco Bell"	0.0599146
condo	0.0598167
loft	0.0592465
"family business"	0.0590721
winery	0.0588089
"vending machine"	0.0587402
Supercenters	0.0587344
"apartment house"	0.0586972
"elementary school"	0.0584387
slaughterhouse	0.0584291
"boarding house"	0.0581895
"Planet Hollywood"	0.0580237
"theme park"	0.0580012
condominium	0.0578615
"soup kitchen"	0.0578283
"food company"	0.0573549
"fire station"	0.0573242
canteen	0.0571713
"bus company"	0.0569737
"Old Navy"	0.0565608
donut	0.0564936
"row house"	0.0564818
sweatshop	0.0562048
Wal-Mart	0.0561829
"trading post"	0.0561428
"bus terminal"	0.0560767
"entertainment center"	0.0560764
"restaurant chain"	0.0560315
Bathhouse	0.0558963
brewery	0.055531
Casino	0.055366
"retail operation"	0.0550622
garage	0.054949
"Seasons Hotel"	0.0547165
retail	0.0545773
"Pizza Hut"	0.0545491
"police precinct"	0.0545346
"consulting company"	0.0545299
"manufacturing plant"	0.054315
Saks	0.0543114
hostel	0.0542791
"Radio Shack"	0.0540233
caterer	0.0539574
"police station"	0.0537936
tenement	0.0537722
))
(clotting (desc 2749.57) (sims
clot	0.113235
angiogenesis	0.10944
"tooth decay"	0.1014
"blood sugar"	0.0973631
atherosclerosis	0.0939986
recidivism	0.0933964
photosynthesis	0.0889859
overheating	0.0870511
Filtration	0.0813616
hypertension	0.0800893
rollovers	0.0792066
"heart disease"	0.0786699
"blood clot"	0.0777951
gallstone	0.075969
relapse	0.0753354
"kidney stone"	0.0752365
"juvenile delinquency"	0.0741294
p@@	0.0739697
spillage	0.0733489
SIDS	0.0725814
"cardiovascular disease"	0.0724128
incontinence	0.072217
evaporation	0.0720179
ulcer	0.0717562
ovulation	0.0711354
"colon cancer"	0.070159
destabilization	0.0701304
anti-inflammatory	0.0699493
Osteoporosis	0.0698417
adulteration	0.0689309
"water pollution"	0.0687796
dehydration	0.0686593
cholesterol	0.0682162
heartburn	0.0677424
"high blood pressure"	0.0671758
condensation	0.0664902
melanoma	0.0659224
"chemical reaction"	0.0654752
gonorrhea	0.0652925
"common cold"	0.0641906
enzyme	0.0641511
trachoma	0.0638494
diarrhoea	0.0637104
"plant disease"	0.0636845
hemorrhage	0.0636493
"moral hazard"	0.0633789
"heart failure"	0.0631623
Burnout	0.0628177
shedding	0.0625275
hemoglobin	0.0625029
Obesity	0.0624681
impotence	0.0622722
backsliding	0.0620595
"umbilical cord"	0.0615113
digestion	0.061448
hyperactivity	0.0613645
wastage	0.0612042
ripening	0.0610088
"air bubble"	0.0609261
testosterone	0.0608226
"blood pressure"	0.0602302
corrosion	0.0597869
"heat exhaustion"	0.0597539
recurrence	0.0597448
diabetes	0.0596184
subsidence	0.0595039
"eye disease"	0.0593358
acne	0.0592889
tumor	0.0592447
Meningitis	0.0591163
"blood cell"	0.0589901
"connective tissue"	0.0589588
desertification	0.0587019
winnowing	0.0586132
aggravation	0.0585945
asthma	0.0585655
metabolism	0.0585165
degradation	0.0584879
estrogen	0.0584086
"skin cancer"	0.0580613
aneurysm	0.0577517
leakage	0.0577177
telomerase	0.0576975
amplification	0.0576038
dementia	0.0573559
toxicity	0.0572079
allergy	0.0571574
infestation	0.0571456
poaching	0.0570137
slippage	0.0569968
gangrene	0.0567654
antifreeze	0.056665
malnutrition	0.0564952
"urban sprawl"	0.0561536
"power failure"	0.0561155
overexposure	0.0560782
cataclysm	0.0560251
deafness	0.0558902
transfusion	0.0558757
regeneration	0.055678
bronchitis	0.0556255
anemia	0.0555868
multiplication	0.0552749
iodine	0.0548125
fertility	0.0546662
miscarriage	0.054521
"lead poisoning"	0.0543302
"heart rate"	0.054286
"food poisoning"	0.0541913
morbidity	0.0540697
variability	0.0539628
"soil erosion"	0.0536717
"market correction"	0.0532778
IDD	0.0531518
sinus	0.0530017
healing	0.052931
deflation	0.0527169
"substance abuse"	0.0525705
"hot flash"	0.052462
arthritis	0.0524426
hardening	0.0524039
diarrhea	0.0523147
"sexually transmitted disease"	0.051962
"vitamin D"	0.0519412
blockage	0.0517844
duplication	0.0517799
Emigration	0.0517593
"dog bite"	0.0515302
fermentation	0.0514063
urbanization	0.05111
maturation	0.0510811
"animal disease"	0.0508882
mildew	0.0505472
depletion	0.0504852
Endostatin	0.0503925
malaria	0.0500534
tuberculosis	0.0499047
hormone	0.0498524
dilution	0.0495623
"body temperature"	0.0495593
nearsightedness	0.0495529
bottleneck	0.0495192
foul-up	0.0494952
spillover	0.0492588
"drug addiction"	0.0490779
migraine	0.0490143
degeneration	0.0489731
hypothermia	0.0488739
sedation	0.0488481
wasting	0.0487425
"blood vessel"	0.0486414
leprosy	0.0485753
"digestive tract"	0.0485004
shakeout	0.0482904
"neurological disease"	0.0481748
"price fluctuation"	0.0481679
stalling	0.0480853
combustion	0.0480802
pollination	0.0480465
menopause	0.0479086
glaucoma	0.0478915
delinquency	0.0478886
ignition	0.0477637
antioxidant	0.0477626
inflammation	0.047677
Hantavirus	0.0475396
wastewater	0.0473922
lethargy	0.0473213
"hepatitis B"	0.0471023
filtering	0.0470627
ephedra	0.0469325
dispersal	0.0468519
sunburn	0.0467008
frostbite	0.0465821
"acquired immune deficiency syndrome"	0.0465534
browning	0.0465461
leukemia	0.046418
"inner ear"	0.0463067
abnormality	0.0462999
SPF	0.04624
"contagious disease"	0.046214
calamity	0.0461618
"free radical"	0.046147
"internal control"	0.046124
pneumonia	0.0460689
platelet	0.0459545
insolvency	0.0459252
acceleration	0.0458355
"acid rain"	0.0457794
deforestation	0.0456975
leptin	0.0456584
whiplash	0.0455876
assimilation	0.0455867
"engine failure"	0.0455328
eventuality	0.0454959
swelling	0.0453423
"bone marrow"	0.0452673
arousal	0.0452608
"amino acid"	0.0452385
osteoarthritis	0.0451204
))
(cloud (desc 77878.9) (sims
fog	0.185172
smoke	0.158613
shower	0.157969
Haze	0.155821
Thunderstorm	0.149139
plume	0.148156
Sky	0.136675
mist	0.134708
snow	0.130455
rain	0.125122
sunshine	0.124795
cloudiness	0.116753
dust	0.116706
wind	0.115362
"rain shower"	0.108249
storm	0.107703
air	0.106501
thundershowers	0.104086
weather	0.0999874
humidity	0.0983751
smog	0.0965844
pall	0.0952415
shadow	0.0927072
moisture	0.0922586
fume	0.0902777
temperature	0.0879639
darkness	0.087331
wave	0.0850283
veil	0.0844973
particle	0.0835247
"blue sky"	0.0830296
breeze	0.0828584
gloom	0.0824573
hail	0.0822299
precipitation	0.0821291
sleet	0.0819232
showers	0.0814911
layer	0.0812065
flame	0.0811785
water	0.0806653
drizzle	0.0802461
"cloud cover"	0.0793081
rainfall	0.0787257
ash	0.0785093
light	0.0783498
tree	0.0780315
squall	0.0777137
debris	0.0762185
puff	0.0755519
vapor	0.0754143
smell	0.075113
downpour	0.0745562
Snowfall	0.0740764
sun	0.0736509
gust	0.0731084
sand	0.0725907
"cold front"	0.0722644
atmosphere	0.0721718
sea	0.0720282
curtain	0.0712671
heat	0.0711126
tornado	0.070436
sunlight	0.0698224
ICE	0.0697985
gas	0.0695351
blizzard	0.0694452
patch	0.0694343
"high pressure"	0.0677997
lava	0.0667953
chill	0.0664188
odor	0.066315
mountain	0.0661447
mud	0.0660275
steam	0.0645158
foliage	0.0644602
thunder	0.0640718
"bad weather"	0.0639447
emission	0.063809
"low pressure"	0.0637742
blanket	0.0634942
cluster	0.0631472
shade	0.0630363
Canopy	0.0626607
flower	0.0626106
uncertainty	0.0625035
vegetation	0.0623615
swirl	0.0623443
pattern	0.0622788
flood	0.0618803
rock	0.0617384
tide	0.0616134
whiff	0.0614811
bubble	0.0613741
stench	0.0612988
Frost	0.0610147
fire	0.0609661
object	0.0606725
flash	0.06064
dirt	0.0605717
fireball	0.0597102
"high temperature"	0.0595896
swarm	0.0590378
burst	0.0589812
pollution	0.0587828
balloon	0.0587569
speck	0.0587021
accumulation	0.0583772
spray	0.0576811
soil	0.0576046
blaze	0.0575646
"air mass"	0.0574689
stream	0.0573243
Moon	0.0568494
gale	0.0567199
hair	0.0566665
color	0.056428
glow	0.0563022
lightning	0.0562861
ocean	0.0560308
wall	0.0560007
soot	0.0558924
forest	0.0558764
residue	0.05579
leaf	0.0557405
silt	0.0556202
confusion	0.0552252
explosion	0.0551568
noise	0.0549489
"black hole"	0.0549287
twister	0.0547914
weed	0.0547907
mixture	0.0545638
surf	0.0545009
feet	0.0544626
blood	0.0544167
visibility	0.0543866
terrain	0.0543628
trace	0.0541495
scent	0.054025
disturbance	0.054012
condition	0.0538948
ozone	0.0533136
glass	0.0532049
grass	0.0530686
eruption	0.05245
"hot weather"	0.0523975
rainstorm	0.0523765
eye	0.0523624
molecule	0.0522858
flow	0.0520719
snowstorm	0.0519006
radiation	0.0517341
concentration	0.051728
roof	0.0515837
paint	0.0515224
flare	0.0513993
"weather conditions"	0.0513944
bird	0.0513282
flag	0.051147
controversy	0.0508523
gray	0.0507411
torrent	0.0506667
climate	0.0506193
desert	0.0505183
wood	0.0505037
pile	0.050469
cold	0.0504476
flurry	0.0504407
amount	0.0503354
metal	0.0502794
Tower	0.050228
current	0.0499525
traffic	0.0499167
Ripple	0.0498854
"jet stream"	0.0498828
hill	0.0497051
hurricane	0.0496931
Liquid	0.0495398
river	0.0491881
earth	0.049166
buildup	0.0490669
blue	0.0490146
Dome	0.0489523
space	0.0489497
Halo	0.0487754
"heat wave"	0.048713
warmth	0.0485553
crowd	0.0485476
crack	0.0485058
effect	0.048337
green	0.0482517
pressure	0.0481882
avalanche	0.0481471
sound	0.0481201
crater	0.0480673
anxiety	0.0479534
mudslide	0.0478951
turbulence	0.0478748
trail	0.0478533
tension	0.0478268
))
("cloud cover" (desc 3509.67) (sims
"rain cloud"	0.103314
Snowfall	0.100628
fog	0.0891211
humidity	0.0814355
arrow	0.0768944
"rain shower"	0.0768166
Haze	0.0761333
"relative humidity"	0.075731
"bad weather"	0.0715579
"air pressure"	0.0697082
precipitation	0.0695512
overcast	0.0681337
"low temperature"	0.0659831
"high temperature"	0.0635953
"Nihon Keizai"	0.0603776
mist	0.059685
sleet	0.0593944
"weather forecaster"	0.0585774
"weather conditions"	0.0573643
raloxifene	0.0568156
drizzle	0.0561532
snowstorm	0.0559684
vegetation	0.0551716
Thunderstorm	0.0544447
cloudiness	0.0534842
CMG	0.0533773
sledding	0.0528887
squall	0.0526155
hailstorm	0.0524612
ridership	0.0523075
"Yediot Ahronot"	0.051482
smog	0.0514763
sprinkles	0.0510768
"guessing game"	0.0508622
"Kathmandu Post"	0.0502655
gale	0.0502289
"red bell pepper"	0.0500358
"dust storm"	0.0497104
homeway	0.0497029
underbrush	0.049407
thundershowers	0.0492968
"combat mission"	0.0488395
rainstorm	0.0486904
vibration	0.0486025
cordon	0.0483567
"U.S. Agriculture Department"	0.048246
"solar flare"	0.0475048
"Indonesian Observer"	0.0473414
"high tide"	0.0462036
"Rashid Sidek"	0.0460612
moisture	0.0448618
"population density"	0.044565
"heart rate"	0.0444578
salinity	0.0442646
showers	0.0437498
brogue	0.0428462
blizzard	0.0423381
gridlock	0.0413355
"bombing run"	0.0412372
"traffic jam"	0.0408589
"New Straits Times"	0.0406938
downpour	0.0405399
"mine field"	0.0401386
))
(Cloude (desc 1279.4) (sims
Trachsel	0.220763
Petkovsek	0.220234
Astacio	0.205444
Moyer	0.200422
Schourek	0.195381
Reynoso	0.190053
Dempster	0.184851
Radke	0.182666
Paniagua	0.177759
Rusch	0.175548
Moehler	0.17492
Pavano	0.174473
Harnisch	0.173508
Hermanson	0.172091
Tapani	0.170398
Rueter	0.169365
Fassero	0.167447
Hudek	0.166626
Ankiel	0.163537
Mahomes	0.160367
Bohanon	0.16013
Hentgen	0.153844
Grimsley	0.153392
Mlicki	0.152832
Halama	0.151026
Bere	0.150781
Lieber	0.150391
Candiotti	0.150319
Bottenfield	0.149753
Washburn	0.147877
Mulholland	0.147213
Dotel	0.14639
"Russ Ortiz"	0.146373
Mercker	0.146165
D'Amico	0.146099
Gooden	0.145358
Kile	0.144997
Osuna	0.143141
Isringhausen	0.141698
Mantei	0.141375
Burkett	0.13919
Irabu	0.138616
Nagy	0.138188
Loaiza	0.13637
Burba	0.135611
Tomko	0.13474
Parris	0.133283
Wasdin	0.133117
Hershiser	0.1325
Mussina	0.131968
Hasegawa	0.130928
Herges	0.130829
Daal	0.12976
Nomo	0.128677
Percival	0.128175
Benes	0.127249
Olivares	0.126867
Heredia	0.126407
"Eric Milton"	0.12596
Yoshii	0.125787
"Jose Paniagua"	0.124877
Rapp	0.123278
Checo	0.123238
"Woody Williams"	0.122905
"Ugueth Urbina"	0.122625
Elarton	0.122588
Helling	0.122463
Saberhagen	0.122257
Remlinger	0.121667
Pulsipher	0.121493
Woodard	0.120663
Mendoza	0.120221
Gagne	0.119702
fetter	0.117528
Neagle	0.117477
"Dan Miceli"	0.11706
Vazquez	0.116757
"Ron Villone"	0.115822
"Paul Abbott"	0.115582
"Robb Nen"	0.114077
"Paul Shuey"	0.112857
Belcher	0.112839
Contreras	0.112813
Millwood	0.112748
"Matt Mantei"	0.112016
"Dustin Hermanson"	0.111909
Leiter	0.111879
Benitez	0.110543
"Jeff Weaver"	0.109734
"STEVE WOODARD"	0.108707
Dreifort	0.108618
"Javier Vazquez"	0.108369
"BRIAN MEADOWS"	0.108209
Clement	0.1079
"Danny Graves"	0.107574
Glavine	0.106674
"Kirk Rueter"	0.106531
"Brian Moehler"	0.106224
Borbon	0.105921
Cordova	0.105494
Sele	0.104475
Schoeneweis	0.104433
"Jon Lieber"	0.10423
"Byung-Hyun Kim"	0.104124
McElroy	0.10292
"Jamie Moyer"	0.102737
"Turk Wendell"	0.102182
"Jesus Sanchez"	0.101848
"Mike Sirotka"	0.101724
"Jamey Wright"	0.101667
Pettitte	0.101602
Masaoka	0.101473
Meche	0.101263
"Bryce Florie"	0.101013
"John Snyder"	0.100831
Smoltz	0.100311
Stottlemyre	0.0995992
estes	0.0994581
Dickson	0.0993559
Ayala	0.0992042
Haynes	0.0991358
Suppan	0.099131
Meadows	0.0989982
Etherton	0.0984499
Wohlers	0.0984336
"Scott Karl"	0.0980265
"Matt Herges"	0.0979947
"Brian Anderson"	0.0979203
Escobar	0.0976855
"Terry Mulholland"	0.0972633
Wakefield	0.0972503
"Darren Dreifort"	0.096971
Perisho	0.0967136
"Scott Williamson"	0.096626
"Jason Schmidt"	0.096591
Orosco	0.0965679
Nen	0.0965641
Navarro	0.0962809
"Mike Remlinger"	0.096206
"Tim Wakefield"	0.0955736
"Jim Parque"	0.0951736
Arrojo	0.0950164
"Steve Parris"	0.0947807
Wendell	0.0946295
"John Wetteland"	0.0943689
"Todd Jones"	0.0938163
"Matt Morris"	0.0934211
"Mark Gardner"	0.0926035
"Chris Carpenter"	0.0923521
"Alan Embree"	0.0921215
"John Burkett"	0.0917658
"Mark Portugal"	0.0917651
McDOWELL	0.0914539
"Andy Benes"	0.0913243
"Rick Aguilera"	0.0912243
"Shigetoshi Hasegawa"	0.0910093
Valdes	0.0910061
"Jason Bere"	0.0907216
Crabtree	0.0904937
Cormier	0.0904762
Erickson	0.0904365
"Dave Mlicki"	0.0903843
Sasaki	0.0901385
"Rod Beck"	0.0896123
Batista	0.0895941
"Mariano Rivera"	0.0890477
"Gil Heredia"	0.0889777
"Dennis Cook"	0.0883864
"Pat Rapp"	0.0881497
Maddux	0.0876932
Padilla	0.0875091
Milton	0.087308
Zito	0.086956
Gardner	0.0869161
"Mark Petkovsek"	0.0868527
"Bob Wickman"	0.0867736
"Jose Mesa"	0.0867637
"Scott Sullivan"	0.086546
"Renzo Furlan"	0.0860717
"Tara Snyder"	0.0858949
"Kevin Tapani"	0.0857382
"Jose Jimenez"	0.0857269
"Jay Powell"	0.0855176
"Billy Wagner"	0.0852767
Appier	0.0852321
looper	0.0850082
Suzuki	0.0849399
"Pedro Astacio"	0.0848644
Holt	0.0848499
Avery	0.0846401
"Chan Ho Park"	0.0843795
"Mike Fetters"	0.0843409
Radinsky	0.0841015
"Armando Benitez"	0.0840728
"Arnaud Di Pasquale"	0.0840461
Stephenson	0.0832721
"Scott Radinsky"	0.0831044
"Terry Adams"	0.0829725
"Jeff Fassero"	0.0826877
Gaynor	0.0821582
))
(cloudiness (desc 3171.84) (sims
Thunderstorm	0.116436
"about @:@@"	0.0950397
sunshine	0.0893256
humidity	0.0873589
"prayer meeting"	0.0792472
drizzle	0.0783206
evaporation	0.0774492
"rain shower"	0.0768676
"prayer service"	0.0755842
thundershowers	0.074401
"blue sky"	0.0729318
gabfest	0.0711198
kt	0.0705176
HDL	0.0677542
fog	0.067245
sprinkles	0.0672258
night.	0.0669339
"air current"	0.0666031
"high temperature"	0.0660808
"tax income"	0.0645098
homeownership	0.0644527
salinity	0.0610584
EDT	0.0607093
precipitation	0.0603086
"sea breeze"	0.0602392
"local time"	0.060067
"high tide"	0.0596084
rainfall	0.0594356
"church service"	0.0576441
dew	0.057251
"foot traffic"	0.0568878
potluck	0.0563245
"time slot"	0.0560709
showers	0.0558699
variability	0.0548541
"fertility rate"	0.054321
"trade wind"	0.0539124
"cloud cover"	0.0534842
"relative humidity"	0.0526577
"air pressure"	0.0523306
"housing sale"	0.0522349
sleet	0.0520079
non-oil	0.0519966
"round of golf"	0.0518758
repast	0.0517712
"jam session"	0.051305
squall	0.0510636
Snowfall	0.0506036
"dust storm"	0.0500229
moisture	0.0487426
socializing	0.0480115
intake	0.0479991
"Official Development Assistance"	0.0479749
voltage	0.0472373
SIESTA	0.0468525
"Karachi Stock Exchange"	0.0468446
downpour	0.0460601
"low temperature"	0.0457277
bullfight	0.0454813
"cold front"	0.0452413
"leisure time"	0.0451623
"hot weather"	0.0451557
shootaround	0.0446723
caseloads	0.0444058
"news show"	0.0443822
"practice session"	0.0439572
Palembang	0.0432535
"shareholder value"	0.0431225
"foreign direct investment"	0.0430409
dryness	0.0427871
horsepower	0.0426517
"elephant population"	0.0424082
"water vapor"	0.042095
walk-through	0.0419308
"crime rate"	0.0414534
airtime	0.0413816
"softball game"	0.041316
"borrowing cost"	0.0403698
"price pressure"	0.0403275
"commencement ceremony"	0.0403031
biomass	0.0402031
"legal brief"	0.0400473
))
(clout (desc 27666.7) (sims
leverage	0.144237
prestige	0.140456
influence	0.134041
credibility	0.129057
stature	0.120568
strength	0.113389
flexibility	0.108549
expertise	0.108513
power	0.106674
popularity	0.10539
reputation	0.101386
ability	0.100538
dominance	0.0972857
skill	0.0972411
cachet	0.0946276
talent	0.0933992
experience	0.0914665
potential	0.0907048
heft	0.0899443
capability	0.089601
notoriety	0.0892134
wealth	0.0890265
resolve	0.0889885
vitality	0.0888401
confidence	0.0884434
competence	0.0883454
enthusiasm	0.088158
recognition	0.087983
resonance	0.087766
patience	0.0867769
resource	0.08658
effectiveness	0.0860401
visibility	0.0856718
competitiveness	0.0855897
charisma	0.0849832
oomph	0.0848761
acumen	0.0843597
firepower	0.0838859
know-how	0.0836444
"staying power"	0.0833737
courage	0.0829116
backing	0.0826983
prominence	0.0826388
diversity	0.082608
momentum	0.0822573
"economies of scale"	0.0817505
seniority	0.0815563
success	0.0814773
interest	0.08139
prowess	0.0811513
credential	0.0808399
Leeway	0.0807887
sophistication	0.0806487
presence	0.0804766
representation	0.0804673
stamina	0.0804078
mobility	0.0801944
status	0.0799935
savvy	0.0794454
versatility	0.0788364
weight	0.0782333
determination	0.0782055
muscle	0.077716
profitability	0.0776483
efficiency	0.0775601
loyalty	0.0773226
wisdom	0.077261
pizazz	0.0771929
self-confidence	0.0768479
knowledge	0.0767786
"drawing power"	0.0765878
liquidity	0.0765846
volatility	0.0762592
traction	0.0761327
dignity	0.075794
respect	0.0755071
importance	0.0754635
integrity	0.0751023
vigor	0.0748709
opportunity	0.0747435
fame	0.0747295
urgency	0.0743918
attention	0.0740636
capacity	0.0738479
concentration	0.0736872
legitimacy	0.073486
willingness	0.0734832
"good will"	0.0734642
toughness	0.0732257
sway	0.0731477
motivation	0.0731305
cohesion	0.073082
"market share"	0.0729158
Creativity	0.0723573
dynamism	0.0717168
leadership	0.0716999
awareness	0.0715407
energy	0.0715332
pride	0.071077
significance	0.0708906
maturity	0.0706841
commitment	0.0704462
difficulty	0.0703929
intensity	0.0703926
depth	0.0703146
accomplishment	0.0702785
role	0.0701473
"competitive advantage"	0.0698991
involvement	0.0693404
incentive	0.0692778
"job security"	0.0691875
acclaim	0.0691829
responsibility	0.0691816
intelligence	0.0691472
complexity	0.0690168
exposure	0.0687033
inclination	0.0683866
sensitivity	0.0683635
excitement	0.0683208
desire	0.0681066
"breathing room"	0.0680286
Manpower	0.0678804
money	0.0676189
potency	0.0676148
appetite	0.067407
aggressiveness	0.0670817
"peace of mind"	0.0670271
breadth	0.0670169
participation	0.066605
luster	0.066522
pressure	0.066499
prosperity	0.0664562
"investor confidence"	0.0664058
privilege	0.0662694
zeal	0.0662631
self-esteem	0.065942
cohesiveness	0.0657555
sense	0.0657272
profile	0.0654649
"social status"	0.0654032
professionalism	0.0653952
advantage	0.0653926
ego	0.0653675
discretion	0.0653461
velocity	0.0653441
buzz	0.0651977
consistency	0.0650771
personality	0.0650716
publicity	0.0647098
respectability	0.0646699
passion	0.0645685
Luck	0.0645357
impact	0.0645001
"leisure time"	0.0641636
honesty	0.0641478
nervousness	0.0641046
riches	0.0640457
sentiment	0.0639643
anxiety	0.0637888
transparency	0.0637721
trust	0.0637481
vulnerability	0.0637434
renown	0.0636998
Openness	0.0636497
resilience	0.0634861
relevance	0.0634773
seriousness	0.0633965
productivity	0.0632898
attitude	0.0630201
"amount of money"	0.0629774
fortitude	0.0628735
self-control	0.0626003
perception	0.0625991
value	0.0625386
ambition	0.0622836
Fortune	0.0621816
"free time"	0.0621612
stability	0.062137
quality	0.062007
esteem	0.0619897
athleticism	0.0619463
"leadership role"	0.0617466
subtlety	0.061732
vision	0.0616077
acceptance	0.0616024
synergy	0.0615958
oversight	0.0614725
access	0.0614462
wherewithal	0.0614242
achievement	0.0613732
"amount of time"	0.0613338
willpower	0.0612321
likelihood	0.0610925
familiarity	0.0608866
uncertainty	0.0608326
tendency	0.0608305
"hard work"	0.0606844
charm	0.0605341
perspective	0.0604009
intimacy	0.0603403
))
(clove (desc 11374.3) (sims
allspice	0.3125
coriander	0.299056
nutmeg	0.296127
cinnamon	0.292357
"garlic clove"	0.287725
turmeric	0.285828
cardamom	0.27566
oregano	0.274566
cumin	0.27169
ginger	0.262304
"bay leaf"	0.255133
thyme	0.252934
peppercorn	0.243578
Garlic	0.239965
cayenne	0.23908
"black pepper"	0.238627
"star anise"	0.225865
paprika	0.219501
pepper	0.203136
"cayenne pepper"	0.199284
"baking powder"	0.198757
"lemon zest"	0.197899
"lemon juice"	0.197687
"fennel seed"	0.196366
"red pepper"	0.19103
"curry powder"	0.188324
"coriander seed"	0.18759
shallot	0.187564
"white pepper"	0.187457
mace	0.184001
onion	0.18388
"baking soda"	0.180024
"mustard seed"	0.17989
salt	0.179138
"chili powder"	0.178351
cilantro	0.178243
"cumin seed"	0.175895
chilies	0.172996
"orange zest"	0.169005
rosemary	0.165946
parsley	0.164165
vanilla	0.161944
jalapeno	0.161109
scallion	0.159506
"green onion"	0.159405
"brown sugar"	0.158713
marjoram	0.15842
saffron	0.157522
vinegar	0.157213
"Worcestershire sauce"	0.15709
Basil	0.156727
flake	0.150219
tarragon	0.150213
"soy sauce"	0.149777
"red onion"	0.147622
"sesame oil"	0.146312
"lime juice"	0.145761
"almond extract"	0.144831
lemon	0.144559
tomato	0.144522
lime	0.143715
"bell pepper"	0.141879
sugar	0.14102
mustard	0.14074
"orange peel"	0.139771
spice	0.13951
anise	0.139438
carrot	0.139234
"celery seed"	0.136357
fennel	0.135886
"sesame seed"	0.135711
almond	0.135642
"hot pepper"	0.135512
cornstarch	0.135385
chive	0.133622
mint	0.131873
"pepper sauce"	0.131376
"garlic salt"	0.130111
dill	0.129857
"olive oil"	0.126346
"plum tomato"	0.12619
"vanilla extract"	0.124801
celery	0.12467
pineapple	0.122231
"orange juice"	0.121987
"macadamia nut"	0.121802
chiles	0.120409
coconut	0.119992
"vanilla bean"	0.119611
Sage	0.119485
peach	0.119154
honey	0.118358
"Tabasco sauce"	0.118352
mango	0.116491
pecan	0.116409
cocoa	0.115706
lemongrass	0.114081
"chili pepper"	0.112968
powder	0.112705
"egg yolk"	0.110958
avocado	0.109774
cucumber	0.108821
flour	0.108515
butter	0.108027
raisin	0.107957
molasses	0.107937
hazelnut	0.107279
"lemon peel"	0.107063
potato	0.106637
eggplant	0.105553
leek	0.104123
"pine nut"	0.10285
citrus	0.102609
teaspoon	0.102233
horseradish	0.102152
"seasoned salt"	0.101681
turnip	0.101596
pear	0.100674
chervil	0.10026
herb	0.0999661
mushroom	0.0990883
Chili	0.0979711
olive	0.0972631
sprig	0.0964395
licorice	0.0957612
"hard-boiled egg"	0.0952554
zest	0.0952028
walnut	0.0943933
"poppy seed"	0.093921
"tomato paste"	0.0933873
grapefruit	0.0924716
nut	0.0923997
fig	0.0923064
bean	0.092223
zucchini	0.0920216
"wine vinegar"	0.090976
"vegetable oil"	0.090938
parsnip	0.0907567
"egg white"	0.0906066
shrimp	0.0904
Orange	0.0903789
radish	0.090274
seasoning	0.0901327
"chili sauce"	0.0901324
raspberry	0.0898842
"cider vinegar"	0.0892637
artichoke	0.0890111
gelatin	0.0881983
banana	0.0881036
paste	0.087928
currant	0.0871338
"green pepper"	0.0867338
buttermilk	0.0864675
"palm oil"	0.0863879
"corn syrup"	0.08612
anchovy	0.0859732
"sour cream"	0.0853761
egg	0.0849794
"sweet potato"	0.0848501
beet	0.0847289
leaf	0.0846336
flavoring	0.0845636
cashew	0.0845455
margarine	0.0844967
cheese	0.0842312
"heavy cream"	0.0835018
juice	0.0833644
pistachio	0.0832699
apple	0.0829158
"maple syrup"	0.0826594
"hot sauce"	0.0826172
tomatillo	0.0824425
"black olive"	0.0817574
apricot	0.081414
"coconut milk"	0.0811665
peanut	0.0810545
"evaporated milk"	0.0807898
papaya	0.0806663
strawberry	0.0797326
melon	0.079587
"cashew nut"	0.0794816
chocolate	0.0794587
"chicken broth"	0.0794436
Tamarind	0.0794078
pinch	0.0790222
yogurt	0.0789065
Tabasco	0.0787943
"sugar cane"	0.078251
lettuce	0.077838
sauce	0.077661
Cherry	0.0776123
crumb	0.0773496
sherry	0.0772862
corn	0.0768973
sugarcane	0.0765264
"cherry tomato"	0.0764547
caper	0.0763678
"red bell pepper"	0.0763272
pumpkin	0.076317
plantain	0.0761771
))
(clover (desc 3067.49) (sims
alfalfa	0.144223
wildflower	0.114869
"sugar beet"	0.104529
sunflower	0.0997433
barley	0.0979929
radish	0.0900791
ragweed	0.0900287
buckwheat	0.0892074
Milkweed	0.0886947
daffodil	0.0800848
eucalyptus	0.0787585
coca	0.0776892
soybean	0.0767437
sorghum	0.0766389
oat	0.073222
cabbage	0.0714271
dandelion	0.0703044
"sugar cane"	0.0687929
kudzu	0.0664163
Yucca	0.0656908
agave	0.0650667
sugarcane	0.0648972
poppy	0.0645577
rhododendron	0.0644299
petunia	0.063272
fescue	0.0628167
"bean sprout"	0.062169
greenery	0.0620421
blackbird	0.0618767
rapeseed	0.0616547
ivy	0.0615485
hay	0.0604607
oilseed	0.0602052
"flowering plant"	0.0597579
bamboo	0.0593394
hibiscus	0.058211
fern	0.0581398
"opium poppy"	0.0576154
sagebrush	0.0575538
"ground cover"	0.0570152
Endive	0.0558396
pea	0.0551713
thistle	0.0549055
oregano	0.054722
Iris	0.0544388
rye	0.0537088
"bamboo shoot"	0.0533128
watermelon	0.0528717
boxwood	0.0528072
maize	0.0527462
carnation	0.0524956
hyacinth	0.0523783
shrubbery	0.0522725
Burley	0.0521776
Basil	0.0518946
beet	0.0518944
tulip	0.0517213
"feather boa"	0.0514684
vegetation	0.0512077
cassava	0.0511529
echinacea	0.0503475
Oak	0.0500956
lettuce	0.0496368
kelp	0.0495784
marigold	0.0491605
violet	0.0488815
dahlia	0.0488309
Mulberry	0.0487422
teardrop	0.0485797
orchid	0.048565
"romaine lettuce"	0.0481232
clematis	0.0479498
Broccoli	0.0479478
poplar	0.0477191
shrub	0.0474513
"sweet corn"	0.0472414
"cotton candy"	0.0467633
cottonwood	0.0465118
rosemary	0.046469
Phyllis	0.0460472
"day lily"	0.0454459
millet	0.0453066
verbena	0.0449667
bonbon	0.044889
goldenrod	0.0447543
sumac	0.0447077
"morning glory"	0.0446137
lily	0.0445921
hemp	0.0442818
cilantro	0.0441132
sapling	0.0438624
"Swiss chard"	0.0436195
Kristin	0.0436087
parsley	0.043607
driftwood	0.0435831
"pubic hair"	0.0435495
papaya	0.0433283
hosta	0.0432218
thyme	0.0431898
Astroturf	0.043165
Lantana	0.0427593
applique	0.042618
"poison ivy"	0.0424965
celery	0.0422212
cypress	0.041872
pansy	0.041795
paddy	0.0417024
algae	0.0415712
fuzz	0.0412909
TARA	0.0403125
"Royal Navy"	0.0402961
petal	0.0401961
swoosh	0.0401944
))
(clown (desc 21029.8) (sims
juggler	0.126358
acrobat	0.109973
magician	0.0908355
comedian	0.0892999
dancer	0.0887251
mime	0.0871832
musician	0.0843143
idiot	0.0807587
performer	0.0798277
actor	0.0792446
jester	0.0791339
entertainer	0.0752566
liar	0.0742118
cheerleader	0.0727618
puppeteer	0.0720276
puppet	0.0716347
"movie star"	0.0706236
pianist	0.0677197
fool	0.0673689
Superman	0.0662818
artist	0.0662542
singer	0.0657097
character	0.0646165
"Darth Vader"	0.0644853
creature	0.0635267
wimp	0.0630285
guy	0.0628865
has-been	0.0625636
"bad guy"	0.0623539
villain	0.061949
painter	0.0616403
psychopath	0.0615445
hero	0.0614153
witch	0.061034
ballerina	0.0607971
"Santa Claus"	0.0603282
"young man"	0.0602835
eccentric	0.0599972
whiner	0.0599459
Cop	0.0599052
"jazz musician"	0.0598656
photographer	0.0597891
thug	0.0596515
freak	0.0594895
monkey	0.0594345
overachiever	0.0593042
geisha	0.0587257
lunatic	0.058576
"tough guy"	0.058401
monster	0.0578766
"rock star"	0.0578543
actress	0.0575317
mascot	0.0572214
bunny	0.0571104
celebrity	0.0568943
grown-up	0.0568735
warrior	0.0565473
servant	0.0563694
midget	0.0563119
doll	0.0560133
redneck	0.0559824
mercenary	0.0557355
songwriter	0.0557036
loner	0.0554214
bully	0.055142
dog	0.0550986
drummer	0.0549754
"old man"	0.0549108
poet	0.0543937
"good guy"	0.0543655
thief	0.054307
"human being"	0.0541695
"hockey player"	0.0541106
"old woman"	0.0539347
circus	0.0537373
"free spirit"	0.0534577
outcast	0.0534311
athlete	0.0534268
sleuth	0.0531124
horse	0.053045
Santa	0.053002
ballplayer	0.0529791
visionary	0.0528728
sideshow	0.0528288
jock	0.0526419
lady	0.0524958
DJ	0.052323
storyteller	0.0523033
gymnast	0.0522959
CAT	0.051999
stripper	0.0519155
maid	0.0518996
filmmaker	0.0517059
dude	0.0514414
heroine	0.0514249
genius	0.0514107
weatherman	0.051394
demon	0.051365
crook	0.0513471
writer	0.0513083
waitress	0.0512388
geek	0.0512049
alien	0.0511951
hippie	0.0511671
hypocrite	0.0509046
misfit	0.0507609
lion	0.0506704
revolutionary	0.050584
moron	0.0505008
charmer	0.0504542
girl	0.0504225
buffoon	0.0503768
"wise guy"	0.0501974
comic	0.0501613
critters	0.0501049
fella	0.0497327
illustrator	0.049684
diva	0.0496594
hacker	0.049654
wrestler	0.049536
elephant	0.0492994
gangster	0.0492272
jerk	0.0491851
coward	0.0491484
ringmaster	0.0490981
housewife	0.0490615
Dinosaur	0.0490574
chef	0.0490224
traitor	0.0490212
guitarist	0.0489988
outsider	0.0489116
ghost	0.0487938
lifeguard	0.0487085
fellow	0.0486671
whore	0.0484622
prankster	0.0484474
monk	0.0484429
skater	0.0482391
drunk	0.0481589
Programmer	0.0481377
hippy	0.0479892
opportunist	0.0478613
nurse	0.0478117
choreographer	0.0477873
snob	0.0476286
"disc jockey"	0.0476189
"young woman"	0.0475831
troupe	0.0475762
Scrooge	0.0475615
seamstress	0.0475579
"little girl"	0.0475183
"con artist"	0.0475072
blonde	0.0475021
hermit	0.0474627
scoundrel	0.0474249
violinist	0.0473855
"young girl"	0.0473482
icon	0.0473385
composer	0.0473291
nerd	0.0473205
brat	0.0472729
picker	0.0471846
subplot	0.0471296
waiter	0.0470715
"Uncle Sam"	0.0470504
weirdo	0.0470318
chap	0.0470112
acrobatics	0.0469919
lover	0.0469618
bartender	0.0467271
Elvis	0.046727
vocalist	0.0466605
"major leaguer"	0.0466064
stockbroker	0.046596
lout	0.0465616
anarchist	0.046472
ensemble	0.0463491
philosopher	0.04616
stooge	0.0460915
rapper	0.046065
stunt	0.0459942
"young actress"	0.0459339
schemer	0.0458194
bystander	0.0458061
stylist	0.0457809
preacher	0.0457663
"black person"	0.0457465
slob	0.0457373
voyeur	0.045692
oldies	0.045623
"little boy"	0.0455881
Englishmen	0.0455524
junkie	0.0455014
bigot	0.045467
cowboy	0.0454604
schoolboy	0.0454344
"football player"	0.0454071
bureaucrat	0.0453445
thinker	0.0453268
salesman	0.0452483
))
(clowning (desc 2495.28) (sims
"public speaking"	0.0721162
juggling	0.0673374
"knockout punch"	0.0654709
dribbling	0.0639848
juggler	0.062646
acrobatics	0.0608387
zingers	0.0604436
crowd-pleaser	0.0586883
piloting	0.05655
jokey	0.0560669
"waiting game"	0.0556442
benediction	0.0531024
homily	0.0528028
spiel	0.0518453
"Policy Address"	0.0517638
persuasion	0.0508846
"Love Lucy"	0.0504264
bullfighting	0.0498862
wizardry	0.0481787
"light touch"	0.0480492
fistfight	0.048019
composing	0.0473959
"more than @,@@@ pounds"	0.0457677
multitasking	0.0454765
gonzo	0.0450456
acrobat	0.0447853
Docudrama	0.0446972
onscreen	0.0445801
"Johnny Carson"	0.0440132
Jedi	0.0439167
intimacy	0.0436697
"rock climbing"	0.0432665
colloquy	0.0431341
stumping	0.0430385
"folk dance"	0.0428705
blather	0.0421878
"martial art"	0.0421594
fisticuffs	0.0418053
catcall	0.0415754
narration	0.0412756
"race riot"	0.0412017
schtick	0.0411152
pharaohs	0.0408861
oratory	0.0408265
stagecraft	0.0407757
contortion	0.0403651
wisecrack	0.0400257
))
(club (desc 223542) (sims
team	0.186603
league	0.126028
restaurant	0.125456
nightclub	0.124959
school	0.115617
hotel	0.111099
franchise	0.109426
company	0.107953
organization	0.107455
store	0.106981
bar	0.105173
theater	0.104277
player	0.102606
dodger	0.102101
group	0.10059
shop	0.0975747
Mets	0.095239
museum	0.0944585
party	0.0941454
church	0.0937668
Yankee	0.0927992
office	0.0920274
ranger	0.0914297
Casino	0.0913148
cafe	0.0912195
center	0.0911511
bank	0.0910072
"Manchester United"	0.0902316
hospital	0.0898321
house	0.0897287
soccer	0.089698
squad	0.0892092
home	0.0891649
business	0.0891291
studio	0.0889097
association	0.0880513
brave	0.0878964
Giants	0.0873214
firm	0.0870647
park	0.0869244
ASTROS	0.0862869
"football team"	0.0860702
union	0.0859622
university	0.0859605
pub	0.085536
Orioles	0.0851008
baseball	0.0848207
gym	0.0847079
side	0.0843137
airline	0.0839728
"Red Sox"	0.0832384
show	0.0831814
game	0.0828126
stadium	0.0827268
family	0.0825856
Celtics	0.0824758
coach	0.0823377
hall	0.0817248
Juventus	0.0810593
community	0.0807902
institution	0.080557
program	0.0804899
city	0.0804179
mariner	0.0803784
champion	0.0802739
Lakers	0.0801156
cardinal	0.0799475
clinic	0.0799091
bookstore	0.0796985
Knicks	0.0796402
agency	0.079599
sport	0.0789518
mall	0.0789456
tournament	0.0783958
College	0.0783941
apartment	0.0783768
cowboy	0.0781801
arena	0.0781676
people	0.0774423
site	0.0771112
place	0.0769474
country	0.0767299
venue	0.0767067
corporation	0.076649
owner	0.0766051
federation	0.0764835
retailer	0.0762329
Arsenal	0.07598
library	0.0758541
society	0.0755093
event	0.0754624
network	0.0754204
building	0.0751803
government	0.0751778
room	0.0751429
bruin	0.075125
"AC Milan"	0.0749356
"baseball team"	0.0745985
"movie theater"	0.0744652
market	0.0743692
festival	0.0742489
gallery	0.0741523
station	0.0738915
industry	0.0738677
division	0.0737694
camp	0.0736272
fan	0.0734482
class	0.0734346
NFL	0.0732546
neighborhood	0.0732337
salon	0.0731885
patriot	0.0730378
facility	0.0729219
nation	0.0728212
band	0.0727953
"high school"	0.0725466
chain	0.0723815
state	0.072371
guy	0.0723075
diamondback	0.0722443
us	0.0722425
"Real Madrid"	0.0720955
championship	0.0720531
Liverpool	0.0718716
court	0.0717496
tavern	0.0717162
NBA	0.0715633
resort	0.0712112
parlor	0.0709705
employer	0.0709527
kid	0.0708631
"art gallery"	0.0702328
complex	0.0699974
football	0.0699366
roster	0.0698559
"country club"	0.069323
angel	0.0693127
king	0.0692715
supermarket	0.0692683
committee	0.0692314
cub	0.0690553
staff	0.0689825
"Los Angeles Dodgers"	0.0689464
outlet	0.06891
district	0.0688495
Indian	0.0687463
woman	0.0687205
one	0.0686818
Chelsea	0.0685759
"department store"	0.0685672
factory	0.0684625
Cleveland	0.0683652
airport	0.0683001
service	0.0682899
Expo	0.0681846
Boston	0.0681528
Sonics	0.0680312
athlete	0.0680078
disco	0.0679283
Seahawks	0.067851
garden	0.0676657
"blue jay"	0.0676585
"basketball team"	0.067604
American	0.0674327
"grocery store"	0.0673741
Phillies	0.0673378
"Bayern Munich"	0.067241
Council	0.0670023
magazine	0.0669977
Padre	0.0669402
world	0.0669115
"radio station"	0.0669039
car	0.0667857
bull	0.0667399
boutique	0.0666181
department	0.0665691
area	0.0665485
board	0.0664471
manager	0.0664182
student	0.0663919
V	0.066204
star	0.0661902
shelter	0.065897
"golf course"	0.0657519
all	0.0655304
manufacturer	0.0654535
enterprise	0.0653311
Seattle	0.0652904
tour	0.0652496
lounge	0.0650992
"coffee shop"	0.0650887
investor	0.0650785
clipper	0.0650592
parent	0.0650171
SPA	0.0650019
job	0.0648775
"New York Mets"	0.0648076
rival	0.0647928
charity	0.0647564
competition	0.0647074
))
("Club Med" (desc 2757.65) (sims
"Thermo Electron"	0.101503
Starwood	0.0892435
Emulex	0.0875216
"Callaway Gardens"	0.0853194
Norwest	0.084331
"National Grid"	0.0777349
RJR	0.0751081
Honeywell	0.0749237
"Niagara Mohawk"	0.0746014
COLTEC	0.0745307
VENATOR	0.0744144
McKesson	0.0742875
WPP	0.0729696
XYLAN	0.0723697
Greenbrier	0.071227
Genzyme	0.0706536
UAL	0.070222
ARCO	0.0701786
"U.S. Trust"	0.0699747
Weyerhaeuser	0.069712
Alcan	0.0696981
Warnaco	0.0691822
"Sara Lee"	0.068854
"Walt Disney World"	0.0683514
Litton	0.0671482
Ritz-Carlton	0.06702
"P&AMP;G"	0.0666518
Checkfree	0.0665399
Terra	0.0663708
EMC	0.0662463
Medtronic	0.0662297
"U.S. Soccer Federation"	0.0660505
CDnow	0.0659986
NatWest	0.0651071
"BP Amoco"	0.0649017
Comsat	0.0648035
"Phelps Dodge"	0.0644597
Hyatt	0.064363
BofA	0.0643449
ZDNet	0.0638851
Healtheon/WebMD	0.063501
NORTHROP	0.0632198
Humana	0.0630054
Railtrack	0.0629964
Ciena	0.0627609
"KCP&AMP;L"	0.0626575
Chiron	0.0624451
"Advanced Micro"	0.0623868
Gymboree	0.0622347
Sunbeam	0.0621596
"Boston Scientific"	0.0620798
"Cox Communications"	0.0619534
Livent	0.0619472
E-LOAN	0.0618779
Webvan	0.0616105
SkyTel	0.0614667
Aetna	0.0614507
MiniMed	0.0614473
"Gap Inc."	0.0611544
Lucasfilm	0.0605896
Halliburton	0.0602361
FPL	0.0601356
Delphi	0.0600425
"Newport News"	0.0600046
Nabisco	0.0598095
NiSource	0.0597465
Loews	0.0594804
"Toys R Us"	0.0593204
"MCI WorldCom"	0.0592843
Enron	0.0592339
Instinet	0.0591755
"Consolidated Edison"	0.059143
"Mandalay Bay"	0.0590746
E-Trade	0.0590723
Asda	0.0590713
"Ford Motor"	0.0589056
Fingerhut	0.0588848
Cendant	0.0585252
WorldCom	0.0585125
Alltel	0.0584341
Primedia	0.0583368
"Sprint PCS"	0.0581838
"Rite Aid"	0.0581609
Priceline	0.057584
Alcoa	0.0574639
"Network Associates"	0.0574573
Schwab	0.0573941
TYCO	0.0567668
"Bank of Scotland"	0.0565366
Glaxo	0.0564516
"Network Solutions"	0.0564089
ENTERGY	0.056306
"Royal Bank"	0.0562616
TELLABS	0.0561887
GEC	0.0561468
ENTREMED	0.0559217
Seagram	0.055915
ALZA	0.0556294
"Fred Meyer"	0.055599
MindSpring	0.0555828
"Times Co."	0.0553478
"BankBoston Corp."	0.0552356
BankAmerica	0.0552176
"Con Edison"	0.0548963
"First Union"	0.0547513
"Berkshire Hathaway"	0.0544289
REVLON	0.0543714
"RJR Nabisco"	0.0542288
Drugstore.com	0.0542175
SmithKline	0.0541193
Airtouch	0.054119
tribune	0.0541053
Raytheon	0.0540988
HKMA	0.0540252
"Wine Institute"	0.0540147
BankBoston	0.0539861
Biogen	0.0539055
EarthLink	0.0537068
"Times Mirror"	0.0536978
TKT	0.053601
Viacom	0.0534544
PETROBRAS	0.0533237
Cisco	0.0532959
Pinkerton	0.0532622
"Y&AMP;R"	0.0532061
"Stride Rite"	0.0531721
Unicom	0.053112
AGL	0.0530245
beachside	0.0529049
Staples	0.0527212
Gillette	0.052719
AutoNation	0.0526898
Daimler	0.0526186
"News Corp."	0.0526025
"Hongkong Telecom"	0.0523992
IMS	0.0522456
AMR	0.0521874
Corning	0.0519961
Paribas	0.0519773
Dresdner	0.0519716
"LA COSTA"	0.0519213
Viag	0.0519046
Tenneco	0.0517771
BOC	0.0517493
Bestfoods	0.0517023
Northpoint	0.0515934
Lockheed	0.0515327
Federated	0.0513994
Hoechst	0.0513651
Corel	0.0513493
Hilton	0.051283
CCB	0.0511892
"Atlantic Richfield"	0.0511211
"Walt Disney Co."	0.0510983
"Federal Reserve Bank of New York"	0.0510549
Penney	0.0510531
BellSouth	0.0508237
"Fannie Mae"	0.0507427
Inktomi	0.0506984
"Federal Reserve Bank"	0.0505178
Hewlett-Packard	0.05046
Overnite	0.0504251
"Bell Labs"	0.0504046
Vodafone	0.0503885
BCE	0.0503627
"Dayton Hudson"	0.0503347
NTL	0.0502058
AIG	0.0501929
Echostar	0.0501369
Diageo	0.050038
"English Football Association"	0.0500188
CNET	0.0500106
"USA Networks"	0.0499685
Massport	0.0499045
EDS	0.0498456
Zapata	0.049826
Seagate	0.049767
Georgia-Pacific	0.0497566
Volvo	0.0497048
sandpiper	0.0495948
IDT	0.0495818
"Bell Atlantic"	0.049528
SGI	0.0495059
KPN	0.0493991
HKFA	0.0493943
"Ford Motor Company"	0.049323
China.com	0.0492964
"William Morris"	0.0492784
YankeeNets	0.0491864
"International Paper"	0.0488797
Bristol-Myers	0.0488747
Monsanto	0.0488226
"Wells Fargo"	0.0488207
CMGI	0.0485844
ITT	0.0485798
VISTEON	0.0485666
Nikko	0.0485096
Wachovia	0.0485036
Unisys	0.0484871
"Coca-Cola Co."	0.0484543
))
("club member" (desc 3849.46) (sims
"church member"	0.0778674
major-leaguers	0.0719628
"New Jerseyans"	0.0682175
"New York Democrats"	0.0658446
Muscovite	0.064651
"New York Republicans"	0.0615509
Ohioan	0.0602343
enthusiast	0.0600617
"faculty member"	0.0592468
inductees	0.0591774
Atlantans	0.0587145
"American Jews"	0.058397
Chinese-Americans	0.0582467
"union member"	0.056667
"government officials"	0.0563572
Ecuadoreans	0.0563502
housemates	0.0563376
Mississippian	0.0559184
celebs	0.0555516
Washingtonian	0.0555007
"labor leader"	0.05525
Italian-Americans	0.0552307
Alumni	0.054945
"social organization"	0.0547504
attendees	0.0546427
Kansan	0.0544191
shipmate	0.0540696
Croatians	0.0539889
aficionados	0.0537941
Easterner	0.0534728
issuers	0.0531312
well-wisher	0.0526853
"club membership"	0.0520635
"stamp collector"	0.0520596
upperclassmen	0.0520212
Asian-Americans	0.0519541
examinees	0.0516225
speller	0.0513656
"San Franciscans"	0.0512219
"social group"	0.050957
"senior citizen"	0.0509523
minder	0.0509373
Ruehe	0.0507253
Cuban-Americans	0.0507117
"Orthodox Jews"	0.0502825
"council member"	0.0502133
Georgian	0.0498774
patron	0.049442
"card holder"	0.049401
protestor	0.0492633
Navajos	0.049226
"grad student"	0.0491147
"Asian Americans"	0.0487878
"Sri Lankans"	0.0487152
Vasile	0.0485108
"New Englander"	0.0483914
parishioner	0.0483712
Klansmen	0.0482277
LeBlanc	0.0481238
homebuilder	0.0478259
panelist	0.0475814
Londoner	0.0474858
aficionado	0.0472988
midshipmen	0.0472459
"North Carolinian"	0.0472168
inductee	0.0470928
crazies	0.0470385
criminologists	0.0470207
Industrialist	0.0470119
"foreign officials"	0.0469308
Frenchmen	0.0468596
"business leader"	0.0467402
Northerner	0.0463911
standouts	0.0463257
optometrist	0.0462026
horsemen	0.0460274
nudist	0.0460082
congregants	0.0459682
"Texas Democrats"	0.0459552
"home builder"	0.0459483
concertgoers	0.0458981
"civic leader"	0.0457222
"union worker"	0.0455987
alum	0.0455516
"market participant"	0.045424
householder	0.0453358
adoptees	0.0452507
watcher	0.0451963
renter	0.0448591
licensee	0.0447851
Bostonians	0.0447475
Quebecers	0.0446371
"corporate executive"	0.0446356
luminary	0.0445679
enlistee	0.0444351
dignitary	0.044425
"ticket agent"	0.0443875
Beijingers	0.044291
patrolman	0.0438831
Scoonie	0.0436708
"New Zealander"	0.0435728
signer	0.043454
devotee	0.0432858
Titov	0.0432719
tribesman	0.0432592
"big leaguer"	0.0432233
policymakers	0.0431936
townsfolk	0.0431553
whistleblowers	0.0431375
Virginian	0.0431075
"union representative"	0.0430784
frontrunners	0.0430538
"baseball player"	0.0430415
Chicagoans	0.0429858
Pakistani	0.0429587
registrant	0.0429438
"Southern Democrats"	0.0428097
trainee	0.0428025
"business organization"	0.0426628
techies	0.0426415
quarterfinalists	0.0426303
sportswriters	0.042613
Floridian	0.0425805
exerciser	0.0425696
dieters	0.0425196
churchgoer	0.0424968
"health care provider"	0.0424553
"graduating class"	0.0423675
caddie	0.0423243
Tennessean	0.0423042
Baptists	0.0422948
e-tailers	0.0422438
auctioneer	0.0421872
denizen	0.0421307
"Islamic Revolutionary Guards Corps"	0.0420503
racer	0.0419611
"Paolo Di Canio"	0.0419158
"job seeker"	0.0419142
"Van Halen"	0.0418736
triathletes	0.0416534
"temporary worker"	0.0416132
officeholder	0.0415228
Hawaiians	0.0414389
Chinese-Indonesians	0.0414173
retiree	0.0413658
"religious leader"	0.0413136
Slav	0.0413072
teller	0.0411812
ethicists	0.0411091
politico	0.0410734
constituent	0.0410023
Arab-Americans	0.0408023
rower	0.0407225
pensioner	0.0406927
part-timer	0.0406833
Minnesotan	0.040565
"stock trader"	0.0405102
co-worker	0.0404591
wretch	0.0404338
parliamentarian	0.040422
"civil rights leader"	0.0403833
"military personnel"	0.040374
"market watcher"	0.0402576
Briton	0.0402442
freelancers	0.0402346
Nepalese	0.0402249
"Protestant denomination"	0.0401979
restaurateur	0.0401821
Mozambican	0.0401698
groundskeeper	0.040098
"home buyer"	0.0400914
Irishmen	0.0400339
"Israeli Arabs"	0.0400055
))
("club membership" (desc 1886.36) (sims
spas	0.0700798
"horseback riding"	0.0696743
"theater ticket"	0.0676673
reforestation	0.0647072
subscription	0.0641015
"profit sharing"	0.0620267
"insurance premium"	0.0610466
lodging	0.0588042
"service program"	0.0582841
"cash bonus"	0.0577518
"manufacturing business"	0.0548553
profit-sharing	0.0546091
reinsurance	0.0543721
sightseeing	0.0532799
"club member"	0.0520635
amenity	0.052029
Jetta	0.0519062
BUSINESSES	0.0519017
PRICETAG	0.051861
"entrance fee"	0.0516272
"compact car"	0.0514191
added-value	0.0510243
"shuttle bus"	0.0507038
Passat	0.0503146
"music school"	0.0500951
"time deposit"	0.0498495
"life insurance"	0.0495588
stipend	0.0487043
"car insurance"	0.0484821
"boarding pass"	0.0479767
"truck sale"	0.0474676
"transfer payment"	0.0472246
"consumer credit"	0.0469744
"service contract"	0.0467189
Streetcar	0.046683
"insurance market"	0.0466592
"employment contract"	0.045546
snorkeling	0.0452321
"insurance policy"	0.0449243
"labor contract"	0.0442655
"New Beetle"	0.0441994
warranty	0.0441199
subcompact	0.043988
airfare	0.0436153
"consumer electronics"	0.0435719
"health benefit"	0.0435606
"labor pool"	0.0430449
decommissioning	0.0430354
"extracurricular activity"	0.0429266
"non-performing loans"	0.0428621
"line of products"	0.04262
"operating expenses"	0.0425746
"insurance claim"	0.0424394
semitrailer	0.0423705
"loan application"	0.0422243
"retirement plan"	0.0421228
"airplane ticket"	0.0419772
"air travel"	0.0419494
L'Equipe	0.0418135
"dollar amount"	0.0416316
postage	0.0411685
"home appliance"	0.0410289
"management fee"	0.0410091
"exhaust system"	0.0409361
enrolment	0.0405634
IDT	0.0402544
wristwatch	0.0401202
gratuity	0.040077
))
(clubhouse (desc 60701.1) (sims
"locker room"	0.256809
dugout	0.221904
"dressing room"	0.169486
bullpen	0.134113
room	0.12644
courtroom	0.114526
"living room"	0.101716
classroom	0.0957413
gym	0.0952068
"parking lot"	0.0944208
outfield	0.0939546
kitchen	0.0913922
lobby	0.0909876
bedroom	0.0905706
hallway	0.0899991
office	0.0896323
apartment	0.0891214
hotel	0.0880427
huddle	0.0877478
stadium	0.0871989
lineup	0.0865261
rotation	0.086252
house	0.085912
Ballpark	0.0856564
park	0.084329
locker	0.0836261
"press box"	0.0820635
camp	0.0813928
"dining room"	0.0810204
bathroom	0.0801285
hall	0.0795483
courthouse	0.0795341
"hotel room"	0.0795005
garage	0.0791084
restaurant	0.0790055
home	0.077671
chamber	0.0762025
infield	0.0760944
arena	0.0760548
field	0.0759664
gallery	0.0758535
crowd	0.0750778
building	0.074736
basement	0.0746764
"pitching coach"	0.0745715
Mound	0.074375
NewsRoom	0.0737409
cabin	0.0727996
lounge	0.0719604
"batting order"	0.0712236
booth	0.0708576
theater	0.0704814
Capitol	0.0704459
uniform	0.0701792
suite	0.0700548
"conference room"	0.0700209
neighborhood	0.0698305
barn	0.0697503
cafeteria	0.0694826
"hospital room"	0.069414
bench	0.0692989
studio	0.0690553
church	0.0686697
gymnasium	0.0686487
"Oval Office"	0.0684488
dorm	0.0678802
"batting cage"	0.0678684
auditorium	0.0674293
restroom	0.067055
store	0.0668741
"first baseman"	0.0668542
ballroom	0.0664961
cubicle	0.0661347
street	0.0655014
tent	0.065172
"dorm room"	0.0647719
complex	0.0647299
mansion	0.0645967
"spring training"	0.0644628
garden	0.0644122
library	0.0643201
shop	0.0640714
mall	0.0639986
fan	0.0639699
corner	0.0634255
cafe	0.0633104
bar	0.0632847
"emergency room"	0.0627263
town	0.0626971
"White House"	0.0623836
pitching	0.0621116
bleachers	0.0617985
rink	0.0616698
"third baseman"	0.0612514
roster	0.061213
"city hall"	0.0610226
tunnel	0.060861
showroom	0.0600772
righthander	0.0593489
inning	0.0592394
"right fielder"	0.059213
pub	0.0590912
elevator	0.0589254
"baseball game"	0.0588305
school	0.0586391
sideline	0.0584858
palace	0.0582975
"second baseman"	0.0581462
dormitory	0.0580391
hitter	0.0578892
baseball	0.0578295
"office building"	0.0575888
gate	0.0573526
"movie theater"	0.057296
shortstop	0.0572315
circle	0.0569379
Warehouse	0.056935
campus	0.0568534
pit	0.0566505
catcher	0.0565916
"penalty box"	0.0565477
front	0.0565087
cottage	0.0564565
"Yankee Stadium"	0.0563473
slugger	0.0562545
residence	0.056241
sanctuary	0.0561818
farmhouse	0.0561758
cemetery	0.056059
village	0.0559354
"left fielder"	0.0556524
"apartment building"	0.0555834
pool	0.0555314
square	0.0554911
"operating room"	0.0553933
"center fielder"	0.0553011
mosque	0.0552026
closet	0.0550406
courtyard	0.0550154
workout	0.0550038
pitcher	0.0548937
hospital	0.0548526
"high school"	0.054852
"general manager"	0.054668
car	0.0544248
"starting pitcher"	0.0539153
outfielder	0.053714
lodge	0.0536528
yard	0.0536483
terminal	0.053151
"family room"	0.0531363
motel	0.0530843
museum	0.0530518
club	0.0530072
clinic	0.0529293
cockpit	0.0529079
synagogue	0.0527768
barrack	0.052722
Alley	0.0526348
reliever	0.0524159
box	0.0524067
shelter	0.0523921
postseason	0.0523036
homestand	0.0522273
headquarter	0.0521331
cage	0.0519726
"center field"	0.0518883
entrance	0.051874
floor	0.0517791
"police station"	0.051475
tee	0.0512657
Grandstand	0.0512643
trailer	0.0512331
"grocery store"	0.0511441
"swimming pool"	0.0511214
inn	0.0510747
league	0.0507528
"Times Square"	0.0505955
prison	0.0502708
"upper deck"	0.0502627
playoff	0.0500319
jail	0.0499823
court	0.0499736
chapel	0.0497841
jersey	0.0497408
hangar	0.0496881
scoreboard	0.049624
"golf course"	0.0494303
"All-Star Game"	0.0493989
aisle	0.0493656
Boston	0.0493292
airport	0.0492432
Tower	0.0491112
"back room"	0.0489768
wheelchair	0.0489622
"Fenway Park"	0.0489481
corridor	0.0487781
bed	0.0487601
compound	0.0487034
seat	0.0484513
))
(clue (desc 43660.4) (sims
evidence	0.110071
hint	0.100853
information	0.0844744
answer	0.0842888
indication	0.0794759
insight	0.0794512
reference	0.0792527
tidbit	0.0761807
detail	0.075251
proof	0.0705172
secret	0.0701084
explanation	0.0695534
signal	0.0683038
inkling	0.0680312
cue	0.0664034
trace	0.0660865
key	0.0660684
data	0.0659415
meaning	0.0640907
feedback	0.0628178
witness	0.0621577
response	0.0618306
truth	0.0617417
testament	0.0616643
material	0.0614338
flaw	0.0614208
mystery	0.0614115
lesson	0.0610709
advice	0.060274
"silver lining"	0.060134
solution	0.0592375
suspect	0.0588362
document	0.0587618
similarity	0.0583829
alternative	0.057974
specific	0.057893
twist	0.0577726
element	0.0576541
reassurance	0.0575563
knowledge	0.0575045
reaction	0.0573799
glimmer	0.0572338
eyewitness	0.0572256
theory	0.05664
suggestion	0.0565945
tool	0.0559827
antidote	0.0558357
motive	0.0556772
attention	0.055594
conclusion	0.055152
connection	0.0550478
motivation	0.0548897
guidance	0.0548346
tip	0.0547352
solace	0.0543437
nod	0.0543243
documentation	0.0542435
surprise	0.054243
allusion	0.0539914
explosive	0.0538352
factor	0.05361
cure	0.0531994
inspiration	0.0530864
idea	0.053069
object	0.0529429
incentive	0.0527675
observation	0.0524057
anecdote	0.0523714
opportunity	0.0522085
fingerprint	0.05193
precedent	0.0516437
word	0.0515593
survivor	0.0514959
thought	0.0514718
bargain	0.0514514
statistic	0.0514484
testimony	0.0514343
"circumstantial evidence"	0.0514327
certainty	0.0514175
treasure	0.0512261
guide	0.0509305
sample	0.050904
subplot	0.0508961
guess	0.0508182
contrast	0.050787
wrinkle	0.0507734
piece	0.0504921
recipe	0.0504858
fossil	0.0504216
message	0.050357
encouragement	0.0503479
example	0.0502657
thrill	0.0502583
"direct evidence"	0.0502354
emotion	0.0502086
item	0.0501068
resemblance	0.0500733
obstacle	0.0499935
reason	0.049742
assurance	0.0494973
description	0.0494447
fact	0.0493841
weapon	0.049081
prey	0.0489055
breakthrough	0.048836
glimpse	0.0488203
"road map"	0.048695
instruction	0.0485941
remedy	0.0484362
negative	0.0483834
victim	0.0483567
impetus	0.0482551
finding	0.0482387
artifact	0.0480656
characteristic	0.0479938
trait	0.0479143
confession	0.047882
footnote	0.0478796
perspective	0.0476257
phrase	0.0475073
puzzle	0.0473809
caveat	0.0473236
assessment	0.0472958
wreckage	0.0472801
excuse	0.0472554
reward	0.0472053
loophole	0.0471345
shortcut	0.0470357
analysis	0.0470183
fragment	0.0467973
impediment	0.0467449
privy	0.0465763
aspect	0.046498
excitement	0.0464821
ingredient	0.0464603
pattern	0.0462601
debris	0.0462164
suspense	0.0462112
comparison	0.0461762
chance	0.0461668
info	0.0459249
input	0.0458965
difference	0.0458138
news	0.0456758
opinion	0.0456633
concession	0.0455031
footprint	0.0453807
downside	0.0453763
advantage	0.0453662
remains	0.0452972
reminder	0.0452873
nothing	0.0452811
expertise	0.0451966
content	0.0451497
recommendation	0.045068
possibility	0.0449889
sensitivity	0.0448878
contribution	0.0447911
snippet	0.0447293
variation	0.044729
"quick fix"	0.0447275
uncertainty	0.0446624
speculation	0.0446223
exception	0.0445953
gift	0.0445915
justification	0.0444935
relevance	0.0444214
irony	0.0442315
map	0.0441713
consensus	0.0439873
nutrient	0.0438873
pointer	0.0438059
drawback	0.0437929
distraction	0.0436912
scenario	0.0436807
talent	0.0436791
warning	0.0436787
revelation	0.0436455
intelligence	0.0436196
accomplice	0.0436138
consolation	0.0435754
exposure	0.0435653
option	0.0435392
doubt	0.0435292
adjustment	0.0435053
resource	0.0433647
ways	0.0433415
"side effect"	0.0433079
bit	0.0432962
recorder	0.0431842
symptom	0.0431694
indicator	0.0431558
validation	0.0429462
account	0.0428005
subtext	0.0428003
sense	0.0427416
theme	0.0427115
belonging	0.0426657
oddity	0.0426493
contradiction	0.042639
))
(clueless (desc 1766.63) (sims
Braveheart	0.0867299
"Coyote Ugly"	0.0758408
E.R	0.0677883
"English Patient"	0.0654424
"Hollow Man"	0.0588197
Girlfight	0.0583763
Moby-Dick	0.054842
"situation comedy"	0.0545373
"Rules Committee"	0.0544294
"Patch Adams"	0.0525697
Malcolm	0.0516628
"Scary Movie"	0.0514303
"Animal House"	0.0509514
"Cruel Intentions"	0.0494335
"Nurse Betty"	0.0491557
"Jerry Maguire"	0.0480314
"sour grapes"	0.048
Ruehe	0.0475017
Ark	0.0472186
"Elia Kazan"	0.0470766
"Natural Born Killers"	0.0470158
Baywatch	0.0459222
"Melrose Place"	0.0457938
"Forrest Gump"	0.0450976
"Joint Commission"	0.0447174
"Beauty Queen"	0.0441941
"Toy Story"	0.0435991
"Texas ranger"	0.0435204
"Who Wants"	0.0434351
X-MEN	0.0428282
sing-along	0.0428229
Bambi	0.0426452
"Drew Carey Show"	0.0422885
"chicken run"	0.0419467
"Marx Brothers"	0.0419293
LeBlanc	0.0416136
Voyager	0.0415684
"Star Trek"	0.0412418
waistcoat	0.0408001
Armageddon	0.0406925
tinsel	0.0405294
annotation	0.0403585
drivel	0.0403045
cantata	0.0401768
Maritz	0.0401021
))
(clump (desc 10907.7) (sims
pile	0.0910254
cluster	0.0832814
patch	0.0821598
chunk	0.0819614
lump	0.0817283
layer	0.0765346
blob	0.0751181
heap	0.0746769
splotch	0.0738069
speck	0.0730247
Canopy	0.0706858
tuft	0.0691551
thicket	0.0688294
expanse	0.0662733
clot	0.0652198
tangle	0.0650419
"more than @@,@@@ acres"	0.0641698
knot	0.063335
granule	0.0626043
"more than @,@@@ acres"	0.062305
piles	0.0617472
wad	0.0600713
"ice crystal"	0.0591278
puddle	0.0587295
semicircle	0.0585533
glob	0.0585023
"air bubble"	0.0581524
bouquet	0.0579709
slab	0.0578899
bundle	0.0573245
foliage	0.0570747
aggregation	0.0569845
shade	0.0569528
leaf	0.0569259
hunk	0.0559435
truckload	0.0559173
plume	0.0558142
fleck	0.0549562
rectangle	0.0547238
molecule	0.0543734
underbrush	0.0541922
droplet	0.0539436
fragment	0.0538237
mouthful	0.053521
ton	0.05288
"oil slick"	0.0525338
swath	0.0524744
Mound	0.0515176
Crescent	0.0511881
particle	0.0507781
mat	0.0503272
carpet	0.0501293
quantity	0.0498083
carload	0.0495282
wads	0.0495248
coating	0.0490361
tarpon	0.0487803
swatch	0.0484241
"vegetable garden"	0.0483967
harvesting	0.0483283
"more than @@@,@@@ hectares"	0.0482664
whorl	0.0480943
sheaf	0.0480935
shrub	0.0475542
"three inches"	0.0474141
Made	0.0472021
"ground cover"	0.0471261
"front yard"	0.0470814
filament	0.0467184
abundance	0.0465276
grass	0.0461419
"four tons"	0.0460965
accumulation	0.0455427
sheet	0.0450234
felling	0.0450159
braid	0.0444961
"six inches"	0.0442796
"mushroom cloud"	0.0440206
smooch	0.0440167
cubicle	0.0438477
acre	0.0435896
"sheet of paper"	0.0435097
Grove	0.0431865
specimen	0.0431638
sapling	0.0431541
brick	0.0430968
thickness	0.0430534
bushel	0.0429203
undergrowth	0.0427727
"blood cell"	0.0427718
wisp	0.0426834
shard	0.0426829
vial	0.042622
fistful	0.0423496
pine	0.042114
profusion	0.0421074
wreath	0.042064
assemblage	0.0419304
bubble	0.0416486
"rain shower"	0.0415815
"blood clot"	0.0413635
container	0.0412934
throng	0.0412914
tract	0.0412798
bead	0.0410033
crater	0.040984
evergreen	0.0407805
"piece of paper"	0.0407582
sliver	0.0407094
jumble	0.0406599
snowflake	0.0404298
skeleton	0.0402233
plaque	0.0402151
mixture	0.040211
))
(clunker (desc 1683.17) (sims
stinker	0.102984
splitter	0.0634409
bullfight	0.0612366
"white person"	0.0603354
warhorse	0.0596995
forklift	0.0596442
hubcap	0.059128
"pain in the neck"	0.0579589
punchline	0.0579134
"white elephant"	0.0576432
"Houston Oilers"	0.0575838
skydiver	0.0575142
"steam locomotive"	0.0573963
"transport ship"	0.0566832
autocrat	0.0566693
drivel	0.0565117
Chevys	0.0563191
afterburner	0.0556929
"piece of cake"	0.0545673
zinger	0.0543257
"mechanical device"	0.0538289
"birthday card"	0.0536392
birdhouse	0.053165
slipup	0.0525305
"gas plant"	0.0521552
Powerbook	0.0519262
"off-speed pitch"	0.0515282
"about @@-@@"	0.0513874
spirits	0.0511089
"speeding ticket"	0.0509038
two-by-four	0.0506671
"foot traffic"	0.0504819
vaudevillian	0.0501583
"bowling ball"	0.0499514
apparatchiks	0.049813
Mulligan	0.0496954
lawnmower	0.0484088
"four-letter word"	0.0484014
pronoun	0.0483454
"Border collie"	0.0481938
surfeit	0.0481415
"ski jump"	0.0480016
"radio set"	0.0476974
"parlor game"	0.0476961
autocracy	0.0471775
"mainframe computer"	0.0471478
"domed stadium"	0.0467932
Camaro	0.0467619
"morality play"	0.0462418
Hummer	0.0462235
ECN	0.0462193
comedown	0.0461944
"one line"	0.0461537
gunslinger	0.0461276
snowplow	0.0461088
bruiser	0.0459924
"fire wall"	0.0458281
"gambling casino"	0.0457579
misperception	0.0453578
yardstick	0.0453547
"Mac OS"	0.0453339
Airstream	0.0452788
"first third"	0.0452082
"sneak preview"	0.0448846
"wine cellar"	0.0448316
"atom bomb"	0.0448021
newspaperman	0.0448003
Stagecoach	0.0447423
"piece of furniture"	0.0447204
"water tower"	0.0446732
there.	0.0445952
sport-utility	0.0441459
canard	0.0437663
fella	0.043738
"sewer system"	0.0436454
"black person"	0.0432887
"breaking ball"	0.0432261
blooper	0.0432028
"electrical device"	0.0431909
"B&AMP;B"	0.0431739
Burba	0.0429781
smooch	0.0428609
"extension cord"	0.0428604
"small fortune"	0.0428513
laggard	0.0428002
"summer house"	0.0426799
"common factor"	0.0426621
"electronic database"	0.0426617
duffer	0.0426081
expedient	0.0426048
"time clock"	0.042533
"ball club"	0.0424795
"ventilation system"	0.0424714
"three pitchers"	0.04247
steamroller	0.0424012
analyzer	0.042294
Trailblazer	0.0422911
"electric current"	0.0421897
"blast furnace"	0.0421093
"eye opener"	0.0420209
"hard drug"	0.04201
"clean slate"	0.0420087
knucklehead	0.0420038
"numbers game"	0.0419933
craziness	0.0419246
vertebrate	0.0417976
changeup	0.0417822
"fishing rod"	0.0415753
DeVille	0.0414826
tossup	0.0414783
"Maple Leaf Gardens"	0.0413659
pressman	0.0413355
"gas well"	0.0413076
"street lamp"	0.0410989
bloke	0.0410365
smoother	0.0410135
baby-boomers	0.0409076
walk-through	0.0408177
"four inches"	0.0407249
"lawn mower"	0.0406863
"split second"	0.0406093
poop	0.0405587
baloney	0.0404724
Legos	0.0403775
"ball field"	0.0401859
windscreen	0.0401484
Igloo	0.0400801
"heavy hitter"	0.040025
))
(clunky (desc 4922.27) (sims
Hokey	0.0974043
snakeskin	0.0853239
pointy	0.0783074
handheld	0.0700576
six-inch	0.0694745
throwaway	0.0644426
"this @@@@"	0.0585739
midrange	0.0571043
jokey	0.0562296
timberland	0.0550461
made-for-TV	0.0541347
Dickensian	0.0532957
"space age"	0.0530671
minimalist	0.0526359
slasher	0.0519608
noir	0.0503742
BLUETOOTH	0.0502284
"science fiction"	0.0502157
overlong	0.0502063
storybook	0.0501653
whodunit	0.0499238
spiffy	0.0498482
retro	0.0493838
Two-inch	0.0491718
spoken	0.0490428
analog	0.0487424
"high fashion"	0.0483225
bravura	0.0478901
stiletto	0.0476148
raunchy	0.0476148
"John Grisham"	0.0474125
Lucite	0.045594
scattershot	0.0453065
"powder blue"	0.0449002
onboard	0.0446702
"sterling silver"	0.0445763
Hindi	0.0444101
IC	0.0442754
vintage	0.0438959
Midi	0.0437433
suede	0.0436762
bare-bones	0.0431417
punchy	0.0427548
downbeat	0.0426865
cowgirl	0.0423271
Coen	0.0421996
IMAX	0.0421283
Gucci	0.0418311
"up to eight"	0.0415204
defining	0.0414752
"Frank Capra"	0.0410671
"L.L Bean"	0.0410248
"high quality"	0.0404059
now-famous	0.0403655
bluesy	0.0403427
flamenco	0.0402686
))
(cluster (desc 37666.5) (sims
clump	0.0832814
thundershowers	0.0735013
Thunderstorm	0.0658189
shower	0.0648896
dozen	0.0644653
row	0.0642105
"large number"	0.0638198
cloud	0.0631472
patch	0.0628764
pile	0.0622909
pattern	0.0620456
"rain shower"	0.0614904
type	0.060719
"black hole"	0.0601027
layer	0.0598465
hundred	0.059366
complex	0.0583549
swarm	0.0581284
handful	0.0581108
Universe	0.0578495
array	0.0565995
cell	0.0565547
variety	0.0560927
structure	0.0560462
Halo	0.0559485
strand	0.0553604
garden	0.0549648
neighborhood	0.0549003
wall	0.0547277
front	0.0546828
collection	0.0536618
forest	0.053359
village	0.0532369
piece	0.0528464
replica	0.0523525
building	0.0523009
galaxy	0.0520679
segment	0.0519502
thousand	0.0519114
profusion	0.0517669
scattering	0.0517659
enclave	0.0516744
location	0.0516686
compound	0.0511551
landscape	0.0509633
bunch	0.0508443
circle	0.0507873
concentration	0.050786
shape	0.0505453
remnant	0.0504027
specie	0.0502957
flower	0.0497693
coterie	0.0494597
abundance	0.0492159
tumor	0.049145
thicket	0.0489931
herd	0.0489677
mutation	0.0489644
shade	0.0489365
incidence	0.0489188
bouquet	0.0488527
throng	0.0487504
gaggle	0.0485154
section	0.0484565
space	0.0482498
leaf	0.048192
pod	0.0479356
Phalanx	0.0478859
scent	0.0477944
band	0.0474247
knot	0.0472744
tree	0.0471752
skeleton	0.0471569
plume	0.0470321
bloom	0.0468291
picture	0.046716
outbreak	0.0466669
assortment	0.0465679
object	0.0465241
showers	0.0464284
square	0.0463452
ruin	0.0461279
tent	0.0460846
Canopy	0.0460831
droplet	0.046007
mass	0.0458722
formation	0.045831
hut	0.0456113
corridor	0.0455875
image	0.0455063
corps	0.0454991
bundle	0.0453864
particle	0.0453631
fragment	0.0453473
painting	0.0452465
"solar system"	0.0451024
storm	0.0450281
courtyard	0.0449296
horde	0.0448878
pair	0.0448775
photograph	0.0448377
cafe	0.044569
roof	0.0445476
tract	0.0445454
pool	0.0445337
stack	0.0444984
"core group"	0.0444947
tangle	0.0444433
acre	0.0444285
chain	0.0443674
density	0.0442364
blaze	0.0441589
corner	0.0441459
lawn	0.0439196
remains	0.0438326
string	0.0437485
grouping	0.0436177
Shell	0.0436106
mosque	0.0435567
box	0.0435438
frame	0.0434953
encampment	0.043448
interior	0.0434462
blossom	0.0434136
wreath	0.0433742
component	0.0433535
branch	0.0433409
floor	0.0433371
portion	0.0433062
crop	0.0432328
debris	0.0432117
"a few"	0.0431553
batch	0.0429956
virus	0.0429801
expanse	0.0428909
size	0.0428079
outpost	0.0427861
dwelling	0.0427648
color	0.0426257
stream	0.0426153
slice	0.042599
tissue	0.042592
sample	0.0425505
nest	0.0424517
Tower	0.0424443
assemblage	0.0424245
specimen	0.0423468
map	0.0422776
gallery	0.0422575
"mobile home"	0.0422152
explosion	0.0421917
Gene	0.0421367
"brush fire"	0.0421036
organism	0.0420711
constellation	0.0420221
molecule	0.0420135
grid	0.0419709
Vista	0.041782
planet	0.0416768
bubble	0.041636
Grove	0.0416235
jumble	0.0415515
container	0.0414561
wreckage	0.0414294
pocket	0.0412482
mountain	0.0412403
variation	0.041167
flock	0.0411607
population	0.0411462
generation	0.0410668
footprint	0.0410128
bed	0.0408841
bloc	0.0408502
factory	0.0407948
spate	0.0407063
pond	0.0407021
shadow	0.0406782
auditorium	0.0406306
flavor	0.0406305
belt	0.0406294
conglomerate	0.04061
category	0.0406088
statue	0.0405558
township	0.0405075
trailer	0.0404747
chunk	0.0404272
kitchen	0.0402381
foliage	0.0400749
))
("cluster bomb" (desc 4912.55) (sims
"hand grenade"	0.157723
ordnance	0.152635
bomblets	0.147692
Grenade	0.138689
"pipe bomb"	0.138129
"land mine"	0.136614
munition	0.135416
"explosive device"	0.126608
"booby trap"	0.120182
landmines	0.116815
"atomic bomb"	0.111243
mortar	0.106598
"car bomb"	0.102578
landmine	0.102409
firebomb	0.101266
munitions	0.0987202
artillery	0.0956968
torpedo	0.0902188
projectile	0.0878
"nerve gas"	0.0866747
ammunition	0.0866498
explosive	0.0863555
"poison gas"	0.0861658
missile	0.0860423
"mortar fire"	0.0851316
bullet	0.0828209
"chemical agent"	0.0823271
shrapnel	0.080648
"rocket launcher"	0.0773795
"surface-to-air missile"	0.07634
firecracker	0.0752451
temblor	0.0746011
"Molotov cocktail"	0.072471
Scud	0.0721203
napalm	0.0715516
mudslide	0.0714756
"air raid"	0.0699246
bombardment	0.068634
"tear gas"	0.0684348
shelling	0.0669639
Sarin	0.0669625
machine-guns	0.066283
canister	0.0659998
"Pan Am Flight @@@"	0.0648177
"machine gun"	0.0646461
sniper	0.064218
defoliant	0.0641451
rifle	0.0635376
detonator	0.0628872
"neutron bomb"	0.06252
"flash flood"	0.0622712
"air-to-surface missile"	0.0620136
gunshot	0.0618259
"bomb blast"	0.0617825
"air power"	0.0616306
"Delta @"	0.0615083
dynamite	0.0614786
warhead	0.0612633
"artillery fire"	0.0611767
airstrike	0.0610634
machineguns	0.0609126
"air bag"	0.0606171
"atom bomb"	0.0604356
pellet	0.0603822
malathion	0.0603205
"military vehicle"	0.0600029
twister	0.0598861
"air attack"	0.0591096
"hydrogen bomb"	0.0585355
firearm	0.0580347
cannonball	0.0578019
gunfire	0.0576392
"time bomb"	0.0575163
warplanes	0.057456
androstenedione	0.0571682
launcher	0.0567575
Tomahawk	0.0563759
"electrical device"	0.0558822
plutonium	0.0555923
machete	0.0553035
gunship	0.0551317
"air-to-air missile"	0.0548739
shotgun	0.0548514
Babs	0.0546107
bomber	0.0545307
"submachine gun"	0.0543878
airstrikes	0.0542403
"nuclear weapon"	0.0538064
"human waste"	0.0530709
andro	0.0527433
"Hurricane Mitch"	0.052394
warplane	0.0517224
"mountain lion"	0.0514101
fighter-bombers	0.0513767
"Emas Index"	0.051339
Hindenburg	0.0507933
herbicide	0.0507404
cyanide	0.0506049
"Eric Harris"	0.0504847
tsunami	0.0503607
bayonet	0.050197
"sea lane"	0.0499443
Apaches	0.0498261
pistol	0.0498051
Merapi	0.049591
pesticide	0.0494326
"chemical compound"	0.049262
"free radical"	0.0491882
"TWA Flight @@@"	0.0491839
"nuclear warhead"	0.0489596
MiGs	0.0487075
"ultraviolet light"	0.0486466
"Hurricane Hugo"	0.0484112
tornado	0.0483012
Junik	0.0481785
attacker	0.0481583
rollovers	0.048016
landslide	0.0478747
Zeb	0.0478737
"chemical warfare"	0.0477089
minefield	0.0476971
silencer	0.0473084
"Hurricane Andrew"	0.0471384
"Mayon Volcano"	0.047058
SA-@	0.0467988
"ground attack"	0.0467739
handgun	0.0466923
commando	0.0466022
"patrol boat"	0.0465539
"heavy weapon"	0.0465339
conflagration	0.0462628
"bulletproof vest"	0.0462461
DDT	0.0460441
"military installation"	0.0459752
anvil	0.0457959
EPO	0.0456592
"freight train"	0.0456434
assailant	0.0456343
CFCs	0.0455531
firepower	0.0451247
fireball	0.0450632
"drive-by shooting"	0.0449914
"hunting knife"	0.0449505
"firing squad"	0.044877
gunman	0.0448417
howitzer	0.0448225
Nuke	0.044818
"plastic explosive"	0.0447612
"tractor trailer"	0.044729
"personnel carrier"	0.0442827
uranium	0.0441916
anthrax	0.0441328
cartridge	0.0441159
asbestos	0.04393
chokehold	0.0439246
"firing range"	0.0438024
"food poisoning"	0.0436641
MTBE	0.0435862
contraband	0.0435807
ebola	0.0434866
heatwave	0.043437
paratrooper	0.0433827
"cold wave"	0.0431504
"tidal wave"	0.0431197
B-@	0.0431046
cyclone	0.0430896
fungicide	0.0428889
"petrol bomb"	0.0428645
Mitch	0.0427928
"automatic rifle"	0.0425061
weaponry	0.0421213
acid	0.04196
slingshot	0.0419474
Tous	0.041828
transformer	0.0418142
"sawed-off shotgun"	0.0418071
Typhoon	0.0417699
pronoun	0.0417612
chlorine	0.0417197
webcams	0.0417041
solder	0.0416842
styrofoam	0.0416785
insecticide	0.0416601
bandit	0.0416393
MiG-@@s	0.0416065
bombshell	0.0414152
"high explosive"	0.0413806
germ	0.0413212
microbe	0.041113
GHB	0.041085
"kerosene lamp"	0.0410674
gunpowder	0.0409536
O@@@:H@	0.0409277
ruse	0.0407181
troops	0.040475
materiel	0.0404246
"gamma ray"	0.040415
"railroad car"	0.040331
borer	0.0402364
rioter	0.0401666
))
(clutch (desc 19477.6) (sims
three-point	0.0723167
two-out	0.0626335
third-down	0.057582
subpar	0.0574828
"two key"	0.054979
one-out	0.0539797
game-winning	0.0522094
O'Neill's	0.0519619
"big game"	0.0509991
go-ahead	0.0483825
busload	0.0465764
Phalanx	0.0440925
"second best"	0.042141
desperation	0.0418837
up-and-down	0.0401695
))
(clutter (desc 9346.64) (sims
duplication	0.084953
Garbage	0.0776904
"red tape"	0.0770121
junk	0.0760358
underbrush	0.075404
debris	0.0731713
static	0.0727251
commotion	0.0661542
noise	0.0657519
mildew	0.0647491
fluff	0.0631305
hassle	0.0617366
congestion	0.0584826
hype	0.0584056
dust	0.0578972
smog	0.0577877
rubbish	0.0576617
ambiguity	0.0572328
trash	0.0571737
glut	0.0571325
overload	0.0565508
aggravation	0.0558442
fuss	0.0534099
distraction	0.0533932
homework	0.0531784
paperwork	0.0531756
distortion	0.0531421
Haze	0.0525409
tumult	0.0516614
confusion	0.0514619
guesswork	0.0514491
gridlock	0.0512439
vibration	0.0510365
rubble	0.0506517
"screen door"	0.0505223
overlap	0.049672
pollution	0.049355
"death tax"	0.0486979
"traffic jam"	0.0486622
"background noise"	0.0472697
detritus	0.0469869
"air pollution"	0.0469554
hoopla	0.0467039
misperception	0.0465694
grime	0.0463206
bottleneck	0.0457899
dirt	0.0456484
interactivity	0.0456315
hubbub	0.0456147
carnage	0.0456
negativity	0.0455667
thicket	0.0455367
odor	0.0455018
inventory	0.0454721
trauma	0.0451177
chatter	0.0449204
subtlety	0.0444323
pandemonium	0.0443817
"acid rain"	0.0443271
variability	0.0442727
suspense	0.0442197
baloney	0.0442171
"wear and tear"	0.0440651
craziness	0.0438792
stigma	0.0435035
intrusion	0.0433722
spam	0.0433546
"water pollution"	0.043184
condensation	0.042955
disruption	0.0429303
"water vapor"	0.0428775
misunderstanding	0.0426258
friction	0.0424516
soot	0.0424406
residue	0.0421993
weed	0.0421713
oversupply	0.0421008
downtime	0.0419881
"storage space"	0.0419386
functionality	0.0418507
repetition	0.0417382
conjecture	0.0415075
moisture	0.0413208
frill	0.0412614
angst	0.0412542
asbestos	0.0411119
silt	0.0410666
insecurity	0.0409588
bitterness	0.0408971
gloom	0.0408172
backlog	0.0407257
annoyance	0.0406856
hiccup	0.0406409
salinity	0.04055
plethora	0.0404059
absurdity	0.0404052
inconvenience	0.0403952
discomfort	0.0403847
vandalism	0.0403822
oomph	0.0402794
interference	0.0401788
nastiness	0.0401188
))
(Clyde (desc 4972.67) (sims
Randy	0.0772849
Walter	0.0752792
Bertha	0.0750245
Ken	0.0724598
Brian	0.0711346
Brad	0.0701952
Alan	0.0700917
William	0.0688412
Jim	0.0676191
Larry	0.0667011
Derek	0.0665244
Dan	0.0663613
Gerald	0.0660347
Kenny	0.0651273
tom	0.0650845
Dave	0.0650371
Eric	0.0644628
Ed	0.06383
Jerry	0.0636182
Brett	0.0634184
Phil	0.0627392
Regina	0.0625781
Manuel	0.0624206
Wayne	0.062324
Carl	0.0621937
Harold	0.0618677
Robert	0.0613415
Kenneth	0.0611632
Reggie	0.0608663
Marty	0.0606849
Philip	0.0606202
Ted	0.0604562
Jake	0.0600806
Tim	0.0598888
Joe	0.0596423
Steven	0.0595918
Neil	0.0594874
Wesley	0.0594258
Rick	0.0589512
Archie	0.0589175
Josh	0.0588341
Ralph	0.0587834
Ernie	0.0586523
Jason	0.0579368
Michael	0.0578342
Steve	0.0576115
Hank	0.0574945
Gary	0.0574811
Phillip	0.0573458
Frank	0.0573042
Ashley	0.0570686
Jose	0.0566454
Theo	0.0564974
Anthony	0.0559256
Richard	0.0556305
Patrick	0.0555216
Greg	0.0554109
James	0.0549818
J.D	0.0549667
Paul	0.0546456
Dennis	0.0545987
matt	0.0545858
Jeff	0.0545222
Danny	0.0544936
Roger	0.0543625
Edward	0.0540822
Fred	0.0540461
Justin	0.0539245
Ben	0.0537725
Robbie	0.0535813
Jeffrey	0.0534133
Ramon	0.0533365
Lou	0.0532296
Ernest	0.0531167
Fran	0.0529796
Jamal	0.052739
Chris	0.0524101
David	0.05241
Sally	0.0523543
Allan	0.052299
Ricky	0.0521271
STUART	0.0521098
Ronald	0.0520874
Jimmy	0.0520784
Matthew	0.0520782
Eddie	0.0519392
Kevin	0.0519157
Edmund	0.0518327
Stephen	0.0514998
Bobby	0.0514265
Wally	0.0513753
Sam	0.0513351
Kopp	0.0512978
dick	0.0512937
Kaczynski	0.0512862
Carlos	0.0510056
Jeremy	0.0509537
Raymond	0.0509071
Sean	0.0507964
"Walter Matthau"	0.0507252
Jamie	0.0506056
Tyler	0.0505192
Samuel	0.0503314
Jeb	0.0503267
mike	0.050128
Juan	0.0500953
Adrian	0.0498505
Leo	0.0497912
Maurice	0.049634
Terry	0.0495936
"George W."	0.049447
Joey	0.0493591
Tony	0.0491976
Charles	0.0490368
Jimy	0.0489972
Bruce	0.0488538
Isaiah	0.0487291
Clifford	0.048676
Joel	0.048576
Drexler	0.0484732
nick	0.0483556
"State Street"	0.0482171
Pedro	0.0479084
Alex	0.0478861
Jon	0.0475838
Michel	0.0475659
Tommy	0.0474901
Shane	0.0474504
Eli	0.0473865
Marvin	0.0471771
Gerard	0.0471181
Harry	0.0470991
Andrew	0.047072
Scottie	0.0467726
Antonio	0.0466992
sandy	0.0466955
Shulman	0.0466332
Shirley	0.0463639
Christopher	0.0462797
Daniel	0.0462619
"Juan Miguel"	0.0462413
Todd	0.0462092
Peter	0.0460742
Geoffrey	0.0460288
Pfeiffer	0.0459605
Ian	0.0459049
Osborne	0.0456618
Joseph	0.0455477
Flockhart	0.0454365
Charlie	0.0454364
Keith	0.0453252
Kyle	0.0452768
Dominic	0.0452601
Ron	0.0452582
Benjamin	0.0451005
Julian	0.0449572
Clarence	0.0448941
Marcus	0.044862
Perrot	0.0448584
Arnold	0.044713
Guerin	0.0446726
Roy	0.0446382
Tarawneh	0.0446107
Casey	0.0446026
Vladimir	0.044583
Cepeda	0.0445602
Trevor	0.0445454
Skakel	0.044545
Zambrano	0.0444915
Goldstein	0.0444522
McGraw	0.0442575
Jorge	0.0441491
Warren	0.0441036
Laura	0.0440798
Adam	0.0439197
Lawrence	0.0436402
Debbie	0.0436276
Simon	0.0436268
Gaston	0.0434461
Tucci	0.0433946
"Juan Miguel Gonzalez"	0.0433733
Fernando	0.0432476
Andy	0.0432351
Francois	0.0431787
Pete	0.0431446
Billy	0.0431245
Sebastian	0.0430998
Valenzuela	0.0430539
"Kevin Bacon"	0.0427282
Arthur	0.0427263
Jackie	0.0424631
Andre	0.0423221
Sealy	0.0423016
Willie	0.0422977
franklin	0.042192
Sammy	0.0421562
Arizmendi	0.0420366
Bernie	0.0419946
Nelson	0.0419626
Miguel	0.0419526
))
("Clyde Drexler" (desc 2320.25) (sims
"David Robinson"	0.150296
"Mario Elie"	0.14274
"Isiah Thomas"	0.133887
"Dennis Johnson"	0.13257
"Hakeem Olajuwon"	0.127046
"Derek Harper"	0.126444
"Charles Barkley"	0.126144
"Scottie Pippen"	0.125921
"Paul Westphal"	0.125158
"Avery Johnson"	0.124434
"Damon Stoudamire"	0.122634
"Penny Hardaway"	0.120527
"Bora Milutinovic"	0.116939
"Doc Rivers"	0.115435
"Jeff Hornacek"	0.113555
"Steve Smith"	0.1125
"Mitch Richmond"	0.112336
"Johan Cruyff"	0.112279
"Gary Payton"	0.110016
"Jerome Kersey"	0.108432
"Bobby Phills"	0.108374
"Anfernee Hardaway"	0.106312
"Grant Hill"	0.106011
"Eric Cantona"	0.105047
"Joe Dumars"	0.103802
"Ray Allen"	0.102675
"Scotty Bowman"	0.10167
"Jim Harrick"	0.101097
"John Stockton"	0.100249
"Hu Weidong"	0.0997397
"Magic Johnson"	0.0979782
"Antoine Carr"	0.0978866
"Matt Maloney"	0.0968861
"Nick Anderson"	0.09668
"Sam Cassell"	0.096677
"Rudy Tomjanovich"	0.0963338
"Steve Kerr"	0.095183
"Kevin Garnett"	0.0940912
"Larry Bird"	0.0936836
"Ken Hitchcock"	0.0933827
"Karl Malone"	0.0928633
"Jaren Jackson"	0.092385
"Kevin Johnson"	0.0919543
"Nick Van Exel"	0.0918168
Haskins	0.0909611
"Jamal Mashburn"	0.0906822
"Dean Smith"	0.089403
"Tom Osborne"	0.0893688
"Sean Elliott"	0.089068
"Brent Price"	0.0884856
"Cuttino Mobley"	0.0883173
"Barry Switzer"	0.0869777
"Dennis Erickson"	0.0868419
"John Thompson"	0.0867227
"Terrell Brandon"	0.0864581
"Chuck Daly"	0.0864305
"Kelvin Cato"	0.0861977
"Eddie Jones"	0.0861044
"Tony Amonte"	0.0854
"Antonio McDyess"	0.0853715
"Michael Finley"	0.0851558
"Patrick Ewing"	0.0847562
"Hristo Stoichkov"	0.0846758
"Hao Haidong"	0.0846376
"Brian Shaw"	0.0844713
"Dave Wannstedt"	0.084461
"Isaiah Rider"	0.0833494
"John Robinson"	0.0828398
"Kareem Abdul-Jabbar"	0.0820533
"Shaquille O'Neal"	0.0816257
"Chris Webber"	0.0815538
"Rick Neuheisel"	0.0814818
"Mike Dunleavy"	0.0811539
"Allen Iverson"	0.0808615
"Greg Anthony"	0.0807079
Drexler	0.0806447
"Tim Hardaway"	0.0805726
"Michael Jordan"	0.0803034
"Stephon Marbury"	0.0801885
"Steve Mariucci"	0.0791693
"Kenny Thomas"	0.0789722
"Howard Eisley"	0.0788963
"Alberto Tomba"	0.078552
"Lou Holtz"	0.0783222
"Scoonie Penn"	0.0777685
"Rex Chapman"	0.0776964
"Mike Bibby"	0.0775292
"Derek Fisher"	0.0770072
"Othella Harrington"	0.0769811
"Dick Vermeil"	0.0768607
"Tim Duncan"	0.0762717
"Buck Williams"	0.0761663
"Erick Barkley"	0.0761554
"Craig Ludwig"	0.0761512
"Dale Bumpers"	0.075431
"Rod Strickland"	0.0754138
"Walter Zenga"	0.0751743
"Glen Rice"	0.0745436
"Yao Ming"	0.0745033
"Dan Majerle"	0.0745005
"Glenn Robinson"	0.0743654
"Jason Kidd"	0.0743582
"Chan Gailey"	0.0743317
"Ruud Gullit"	0.0742405
Barkley	0.0738987
"Rick Fox"	0.0734616
"Wayne Gretzky"	0.0732912
"Gheorghe Hagi"	0.0730073
"Don Shula"	0.0730063
"Dick Jauron"	0.072865
"Billie Jean King"	0.0727592
"Paul Silas"	0.0723757
"Jalen Rose"	0.0722561
"Don Nelson"	0.0719265
"Gianluca Vialli"	0.0717044
"Tim Floyd"	0.0716925
"Alonzo Mourning"	0.0716769
"John Wooden"	0.0714713
"Kurt Rambis"	0.0708183
Coia	0.0707904
"Chris Porter"	0.0702653
"Reggie Miller"	0.0700426
"Mark Jackson"	0.0699375
"Reggie Lewis"	0.0696455
"Wang Zhizhi"	0.0692836
"Dave Cowens"	0.0692078
"Latrell Sprewell"	0.0689255
"Hidetoshi Nakata"	0.0688739
"Walt Williams"	0.0685124
Pippen	0.0684865
"A.C. Green"	0.0684687
"Bill Walton"	0.0684381
"Dennis Rodman"	0.0683
"Jayson Williams"	0.0682778
"Kim Perrot"	0.068254
"Terry Porter"	0.0680881
"Mario Andretti"	0.0679295
"Brian Billick"	0.0678775
"Keith Van Horn"	0.067752
"Joe Gibbs"	0.0675916
"Ron Harper"	0.0674896
"Hersey Hawkins"	0.0671977
"Roger Staubach"	0.0671846
"George Karl"	0.0671741
"Don Baylor"	0.0671296
"Lenny Wilkens"	0.0669001
"Nikki McCray"	0.0667509
Kerr	0.0661828
"Sheryl Swoopes"	0.0659487
Romario	0.0658264
"Elgin Baylor"	0.0657066
"Glenn Hoddle"	0.0656786
"Anthony Johnson"	0.065581
"Bonzi Wells"	0.0654687
"Vernon Maxwell"	0.0652567
"Reggie White"	0.0652151
"Al Groh"	0.0648382
"Darrick Martin"	0.0647775
Olajuwon	0.0647761
"Kerry Kittles"	0.0645485
"Doak Walker"	0.0645268
"Mike Shanahan"	0.0644238
"Bobby Charlton"	0.0640856
"TOM COUGHLIN"	0.0637902
"John Elway"	0.0637716
Djorkaeff	0.0630082
"Matt Santangelo"	0.0629676
"John Havlicek"	0.0628747
"Mookie Blaylock"	0.0627946
"Pat Burns"	0.0627785
Kidd	0.0626946
"Lee Nailon"	0.0626897
"Dawn Staley"	0.0626521
"Sam Mack"	0.0626378
"Michael Redd"	0.0626052
"Voshon Lenard"	0.062401
"Cynthia Cooper"	0.0623545
Timms	0.0620845
"Sherman Douglas"	0.0617764
"Juergen Klinsmann"	0.0617628
"Don Zimmer"	0.0616705
"Mark Williams"	0.0616359
"David Wesley"	0.061393
"Chris Palmer"	0.0613464
"Mateen Cleaves"	0.0613231
"Toni Kukoc"	0.0611994
Cremins	0.0611905
"Willie Randolph"	0.0611416
"Dennis Green"	0.0611396
"Kris Clack"	0.0611189
"George Seifert"	0.0610626
"Allan Houston"	0.0609182
"Kobe Bryant"	0.0607089
"Tommy Bowden"	0.0601947
"Bill Russell"	0.0601725
"Jeff Trepagnier"	0.0600934
"Dennis Scott"	0.0599952
"Jimmy Johnson"	0.0599766
"J.R Reid"	0.0598081
"Brandon Granville"	0.0595586
))
(cm (desc 1658.3) (sims
"Charlotte Motor Speedway"	0.112915
"Atlanta Motor Speedway"	0.100372
"California Speedway"	0.0787037
"Daytona International Speedway"	0.0702539
VEBA	0.0702282
TM	0.0701603
IMS	0.0677875
Medtronic	0.0660228
"Indianapolis Motor Speedway"	0.0657915
"Motor Speedway"	0.0657273
"Texas Motor Speedway"	0.0641759
Dis	0.0640389
Irwindale	0.0619818
Pir	0.0610827
VENATOR	0.0605176
"New Hampshire International Speedway"	0.0601423
"Pac Bell Park"	0.0591584
Hakuba	0.0581567
kc	0.055064
speedway	0.0543799
"World Cycling Championships"	0.0532137
"Pikes Peak"	0.0528709
"Las Vegas Motor Speedway"	0.0527395
"Boston Scientific"	0.05203
"Talladega Superspeedway"	0.0507953
Devon	0.0506855
"Sara Lee"	0.0501255
Terra	0.0499635
"Lake Louise"	0.0498507
adhesion	0.0495406
"Watkins Glen"	0.0493944
"Michigan Speedway"	0.0484302
"Nagano Winter Olympics"	0.0471826
"Lone Star Park"	0.0471117
"World Cup Finals"	0.0469976
SunTrust	0.04664
Pocono	0.0462217
Ico	0.0460671
Hootie	0.0454306
talisman	0.0452744
Pairgain	0.0452279
Alltel	0.0451353
"Paul Revere"	0.0446104
Loudon	0.0443497
"Computer Associates"	0.0443312
"Olympic Winter Games"	0.0442676
Pinkerton	0.0439388
Ohioan	0.0439205
"Thermo Electron"	0.0438187
REIT	0.0437251
Echostar	0.0429356
simpatico	0.0427831
NiSource	0.0425607
"Pacific Century"	0.0423839
Georgia-Pacific	0.0421426
"Toys R Us"	0.0418059
Weyerhaeuser	0.0417283
"Exposition Park"	0.0415653
"Sears Point"	0.0415631
Martinsville	0.0413154
iXL	0.0408416
NHIS	0.0407209
UAL	0.0406005
MiniMed	0.0404206
"Oaklawn Park"	0.0402058
AIG	0.0401105
))
(CMA (desc 1522.32) (sims
"U.S. Soccer Federation"	0.165826
USTA	0.153358
"New York Civil Liberties Union"	0.149095
CIRC	0.148825
"Screen Actors Guild"	0.137857
CNOOC	0.134224
"Golden Globe"	0.128149
"Players Association"	0.125889
"Families USA"	0.125813
ITF	0.12496
"Ethics Commission"	0.124073
CPAFFC	0.123101
"NFL Players Association"	0.118138
HKTA	0.117723
"USA Basketball"	0.116733
OCA	0.114985
"International Ski Federation"	0.113279
USATF	0.110829
guild	0.11081
"Asia Society"	0.11079
NHRA	0.110582
CNPC	0.110153
CBI	0.109736
CFA	0.109672
"International Tennis Federation"	0.108498
"Emmy Award"	0.107441
TDC	0.106692
UNEP	0.104977
"Kennedy Center"	0.103914
"Australian Olympic Committee"	0.103716
USGA	0.102969
Grammy	0.102171
PBA	0.101933
F.A	0.101831
CSE	0.100789
SDB	0.100239
CASS	0.0986041
"Legal Aid Society"	0.0982962
ICBC	0.0981519
"Common Cause"	0.0977293
NARAL	0.0964589
ABA	0.096333
Emmy	0.0959897
"EU Commission"	0.0958583
ITC	0.0952957
"Defense Agency"	0.0951119
"Medical Society"	0.0947415
"American Bar Association"	0.0947
"United Way"	0.0944708
Wada	0.0943884
CWA	0.0942524
AmCham	0.0940535
"National Urban League"	0.0940204
ACLU	0.0936221
"U.S. Golf Association"	0.0935442
ACWF	0.0934628
CAF	0.0934409
TrustE	0.0934398
"Football Association"	0.0932285
"American Jewish Committee"	0.091719
DFB	0.0914561
"U.S. Olympic Committee"	0.0913393
DMA	0.0912322
"Commerce Ministry"	0.0909722
AFI	0.0907335
"Health and Welfare Ministry"	0.0903296
UNFPA	0.0896375
IAI	0.0884639
DLC	0.0883785
BOC	0.088272
"African Economic Community"	0.0879735
KPA	0.0877224
USOC	0.0876913
"Housing Authority"	0.0875828
IPU	0.0875279
UNIDO	0.0874146
NCEC	0.0868182
"Israeli Foreign Ministry"	0.0861791
AHA	0.0858777
MCC	0.085735
"Human Rights Commission"	0.0854358
"Labor office"	0.0853357
ISU	0.0851645
"Association of Flight Attendants"	0.084919
CCPIT	0.0846339
TDB	0.084184
"Nevada Athletic Commission"	0.0840438
Pertamina	0.0838683
CITIC	0.0837988
MSF	0.0835973
"Business Council"	0.0834101
SCLC	0.0824233
SLOC	0.0822676
SFA	0.0822629
"Wine Institute"	0.0821715
"District Council"	0.0816467
IEA	0.0814956
UNDCP	0.0813744
"U.S. Senate"	0.0810403
COSCO	0.0809861
"Academy Award"	0.0807272
MTA	0.0805221
CAA	0.0803304
"Salt Lake Organizing Committee"	0.0802647
AOC	0.0800612
CAAC	0.0800178
"Independence Party"	0.0796486
"National Book Award"	0.0794498
UCI	0.0793891
ARATS	0.0789078
"Democratic Leadership Council"	0.0787497
ICA	0.0786817
"Board of Elections"	0.0785163
"Sierra Club"	0.0782104
SSB	0.0778888
"U.S. Congress"	0.0778647
AEC	0.0778455
"China Southern Airlines"	0.0778111
JAL	0.0777708
CAS	0.0777621
"Local @@"	0.0777169
SPC	0.0775109
"Airport Authority"	0.0773739
"Tony Award"	0.0773158
ITTF	0.0772521
"U.S. Chamber of Commerce"	0.0771797
"State Statistical Bureau"	0.0770584
KEDO	0.0769261
EBRD	0.0768813
Azad	0.0765558
BOI	0.0765419
SFC	0.0761435
AFL-CIO	0.0760817
YankeeNets	0.0758843
RIAA	0.0757351
GEF	0.0754505
teamster	0.0752128
ATC	0.0746657
"Urban League"	0.0745733
"Metropolitan Transportation Authority"	0.074497
AFA	0.0742137
NAACP	0.073867
"Rainbow/PUSH Coalition"	0.0738329
"ABC Sports"	0.0737863
EC	0.0735272
MII	0.0734986
"Port Authority"	0.0732959
"Christian Coalition"	0.0732782
Genzyme	0.0730934
WEF	0.0729713
"International Cycling Union"	0.0728661
CNTA	0.07285
FTA	0.072811
"Motion Picture Association of America"	0.0727417
DSE	0.0726968
BSA	0.0725498
"Local @@@@"	0.0725109
"Handgun Control"	0.072389
CCC	0.0721384
Eximbank	0.0720057
"right to life"	0.0718858
"Allied Pilots Association"	0.0717371
Sinopec	0.0714202
ZCTU	0.071355
ADB	0.0712407
primetime	0.0712238
"International Badminton Federation"	0.0712145
"Republican Senate"	0.0711006
INEC	0.0710581
"International Amateur Athletic Federation"	0.0708458
"United Auto Workers"	0.0707452
WIPO	0.0707135
"World Jewish Congress"	0.0707049
"Federal Reserve Bank of New York"	0.0706895
"U.N. World Food Program"	0.0704648
"National Organization"	0.0703595
AARP	0.0702559
UFW	0.0702185
"Vietnam Airlines"	0.0701562
PNC	0.0701294
Starwood	0.0698794
PECC	0.0698768
Kimbell	0.0698364
FINA	0.0697836
sworn-in	0.0696808
DAP	0.0694699
"Green Party"	0.0693683
"Golden Bear"	0.069326
"United Steelworkers"	0.0693105
NRC	0.0692796
"International Olympic Committee"	0.069278
"Chinese Olympic Committee"	0.0692753
HKFA	0.0692588
"Olympic Committee"	0.0691772
"Catholic Charities"	0.0690277
ACFTU	0.0689426
CDB	0.0688928
UNESCO	0.0688784
ECB	0.0688598
PSG	0.0687343
))
(CMAG (desc 1213.44) (sims
JMC	0.259827
NSC	0.218685
"Commonwealth Ministerial Action Group"	0.217033
CEC	0.176848
PCC	0.176201
"Rules Committee"	0.165757
FOMC	0.165136
"Israeli Cabinet"	0.160598
INEC	0.154779
OAS	0.147622
AmCham	0.14236
fact-finding	0.141993
interagency	0.137128
"PLO Executive Committee"	0.13645
troika	0.133012
"General Committee"	0.132343
"Electoral Commission"	0.131393
"steering committee"	0.131287
"Supreme Council"	0.131186
"House International Relations Committee"	0.131177
"Joint Military Commission"	0.130399
eco	0.128323
"Nevada Athletic Commission"	0.123519
CSC	0.122967
CWC	0.122966
"Senate Appropriations Committee"	0.12226
IGAD	0.121777
KEDO	0.120297
PECC	0.119431
"planning board"	0.117963
CCC	0.11791
G-@@	0.115034
WEU	0.114619
OIC	0.114496
WEF	0.114483
"military commission"	0.113349
taskforce	0.113047
"Senate Governmental Affairs Committee"	0.112639
ITU	0.111603
"Truth Commission"	0.111348
NLRB	0.110702
"Congress Working Committee"	0.110696
"Congressional Black Caucus"	0.109882
EBRD	0.109358
"Foreign Relations Committee"	0.10928
"House Budget Committee"	0.108884
"ethics committee"	0.108503
CMC	0.108363
"Caribbean Community"	0.107896
ECOWAS	0.106944
OCA	0.106804
KPU	0.106398
MCC	0.106165
"Appropriations Committee"	0.105826
UNMOVIC	0.105558
PNC	0.104987
"UN Security Council"	0.10404
PATA	0.103959
UNTAET	0.103553
"Ethics Commission"	0.103486
"Banking Committee"	0.103205
"General Council"	0.102894
"planning commission"	0.102612
"Carter Center"	0.10247
"North Atlantic Council"	0.102295
"United States Congress"	0.102187
"Russian Duma"	0.10208
Histadrut	0.101946
"Parades Commission"	0.101943
"House Commerce Committee"	0.101714
CCPIT	0.101093
NDF	0.100891
"Senate Budget Committee"	0.100587
"Paris Club"	0.100358
Wada	0.0998953
TRC	0.0998773
IEC	0.098423
CPLP	0.0978101
PUC	0.0975485
"Kosovo Verification Mission"	0.0973836
SPDC	0.0970097
ARATS	0.0967557
UNPREDEP	0.0964877
"Palestinian Council"	0.0964196
"Police Commission"	0.0963126
ITF	0.0962193
"EU Commission"	0.096154
Presidium	0.0961304
UUP	0.0959653
"finance committee"	0.0957306
"Supreme Judicial Court"	0.0956767
"executive council"	0.0955485
CITES	0.0954338
"United Nations Security Council"	0.0952661
"Federal Open Market Committee"	0.0944224
DLC	0.0941036
"Philippine Central Bank"	0.094039
"U.S. Congress"	0.0940264
"work group"	0.0938558
"Andean Group"	0.0937847
ARF	0.0937185
"Executive Committee"	0.0937143
"Board of Governors"	0.0936567
SDP	0.0932618
"Damascus Declaration"	0.0929108
"Chinese NPC"	0.0928905
DSE	0.0925263
IPU	0.0925148
ILO	0.0924036
"United National Party"	0.0922901
"House Appropriations Committee"	0.0922746
"Commerce Committee"	0.0919742
"House Government Reform Committee"	0.0914387
"National Gambling Impact Study Commission"	0.0912924
MPLA	0.0912264
"Council of Ministers"	0.0911574
"conference committee"	0.0911447
OSCE	0.0909476
"Atomic Energy Commission"	0.0907571
"US Congress"	0.0902193
ESCAP	0.0901465
"search committee"	0.0897657
"Federal Trade Commission"	0.0894
"Human Rights Commission"	0.0893181
"Great Hural"	0.0892788
KONI	0.0891054
"Palestine National Council"	0.088283
ten-day	0.0882633
"Business Council"	0.0880685
ASEM	0.0878951
"advisory board"	0.087661
CGI	0.0875066
"Palestinian Central Council"	0.0873174
MPR	0.0872609
NCEC	0.0871621
"Football Association"	0.0871398
CSA	0.0865896
NAM	0.0865818
ICC	0.086554
"NPC Standing Committee"	0.0864189
PPI	0.0863301
SAARC	0.0863254
ADB	0.0861105
Mensa	0.085997
UNP	0.0859803
SEF	0.0857241
"National Council"	0.0855315
"Provisional Urban Council"	0.0854909
"NZ First"	0.0854854
"Rio Group"	0.0853808
"Federation Council"	0.0853432
SADC	0.0852999
"Organizing Committee"	0.0852193
CFTC	0.0850566
AHA	0.0849294
UNIFIL	0.0849238
EAC	0.0845798
NDA	0.0844023
"Contact Group"	0.084363
"working group"	0.0843572
"point system"	0.0842402
"Senate Foreign Relations Committee"	0.0842156
SJC	0.0840178
G@@	0.0838599
"Public Service Commission"	0.0836218
ITC	0.0835544
NTSB	0.0833934
"Senate Finance Committee"	0.0833788
"Palestinian National Council"	0.0833649
"core group"	0.083159
"Election Committee"	0.0830728
"US Supreme Court"	0.0827995
"Alcoholics Anonymous"	0.082749
"National Transportation Safety Board"	0.0825444
Scalfaro	0.0825267
"Senate Banking Committee"	0.0825212
"Federal Reserve Board"	0.0824307
NASD	0.0821641
"control board"	0.0814154
"electoral college"	0.0813855
DAP	0.0812204
ICRC	0.0811487
KDP	0.0810299
NDP	0.0809194
ADL	0.080861
"Los Angeles City Council"	0.0806598
"Transportation Department"	0.0806175
SFC	0.0805172
"Mahmoud Zouebi"	0.0801061
"Delta Force"	0.0801058
ITTF	0.0799494
Icann	0.0799464
Narayanan	0.0794945
"Organization of American States"	0.079475
FCC	0.0794278
BOI	0.0794163
GCC	0.0793644
"National Economic Council"	0.0789718
"election commission"	0.0789669
MMD	0.0788511
))
(CMC (desc 2977.28) (sims
"Central Military Commission"	0.368346
"military commission"	0.225018
"CPPCC National Committee"	0.209398
"NPC Standing Committee"	0.201612
"National Committee"	0.180931
"Congress Standing Committee"	0.170562
ACFTU	0.169886
CIRC	0.169048
"Beijing Municipal Committee"	0.163753
CNTA	0.161002
"Organization Department"	0.152899
SPDC	0.140944
NRM	0.132817
CSRC	0.131469
"standing committee"	0.130015
CPPCC	0.126955
CCM	0.124842
"State Council"	0.123899
"Political Consultative Conference"	0.122316
"Chinese People's Political Consultative Conference"	0.118829
"Ninth National Committee"	0.116952
"National Defense Commission"	0.116537
"All-China Federation"	0.115622
"House Budget Committee"	0.114681
"United Front Work Department"	0.114582
"CPC Central Committee"	0.111685
"State Peace and Development Council"	0.111613
"Chinese NPC"	0.111139
CCPIT	0.110631
CMAG	0.108363
"National People's Congress"	0.107729
SEF	0.107063
"Central Committee"	0.106493
"Congress (NPC) Standing Committee"	0.105553
DAP	0.10484
"State Law and Order Restoration Council"	0.10229
"Ways and Means Committee"	0.102103
"Organizing Committee"	0.101528
"Rules Committee"	0.100573
"Yu Yongbo"	0.1
CCF	0.0998123
"Political Bureau"	0.0997036
NLD	0.0988969
"Li Tieying"	0.0979952
JMC	0.0966226
"China Securities Regulatory Commission"	0.0961857
"Preparatory Committee"	0.0958086
"China Association for Science"	0.0950801
"Great Hural"	0.0948595
"Central Commission for Discipline Inspection"	0.0935146
"House International Relations Committee"	0.0932781
"Ethics Commission"	0.0910704
"Ninth CPPCC National Committee"	0.0910312
"Banking Committee"	0.0908929
CUF	0.0908458
"International Department"	0.0908225
NDP	0.0904362
"Appropriations Committee"	0.0900895
"All-China Youth Federation"	0.0898503
"Eighth National Committee"	0.0897383
"Nevada Athletic Commission"	0.0888955
CEC	0.0881931
"Publicity Department"	0.0879313
"planning commission"	0.0878688
AmCham	0.0877116
"Foreign Relations Committee"	0.0876929
"Senate Appropriations Committee"	0.087256
"Congressional Black Caucus"	0.0871585
"Party School"	0.0869417
Presidium	0.0868202
"Chinese Olympic Committee"	0.0864538
"Supreme Soviet"	0.0862852
CSA	0.0861003
"PLO Executive Committee"	0.0858221
NSC	0.0857803
"planning board"	0.0857074
DSE	0.0854859
SFC	0.0854844
"Beijing Municipal Government"	0.0848731
DLC	0.0848538
"Provisional Ruling Council"	0.0840052
"Ford Motor Company"	0.0839986
"Senate Budget Committee"	0.0835018
"China National Tourism Administration"	0.0832586
NPC	0.0810129
"Commerce Committee"	0.0810099
OCA	0.080965
SDS	0.0803251
PBSI	0.0797887
"Executive Committee"	0.079627
"CPC Central Commission for Discipline Inspection"	0.079286
"National Transportation Safety Board"	0.0790601
"General Political Department"	0.0783354
"Caribbean Community"	0.0782332
"Securities Industry Association"	0.0782315
"Russian Duma"	0.0781592
"Council of State"	0.0769233
"Party Central Committee"	0.0766777
"Nahdlatul Ulama"	0.0766141
"Taiwan Affairs Office"	0.0764418
"Olympic Committee"	0.0764139
"Vietnamese Communist Party"	0.0762273
"Federation Council"	0.0760993
"Housing Authority"	0.0759281
"Luo Gan"	0.075305
"Foreign Affairs Committee"	0.0752138
"Federal Reserve Board"	0.0750364
MPR	0.0744712
"Electoral Commission"	0.0739808
"Senate Armed Services Committee"	0.073829
PCC	0.0738188
"Senate Banking Committee"	0.0735136
"Pacific Exchange"	0.0731753
SDP	0.0731316
"Jatiya Party"	0.0730566
UNIP	0.0729249
"Republican House"	0.0726297
NTSB	0.0725493
"Wang Zhongyu"	0.0717665
"Senate Governmental Affairs Committee"	0.0712755
KPU	0.0712349
"ethics committee"	0.0709683
"Revolutionary Command Council"	0.0709352
"Palestinian Council"	0.0709265
KONI	0.0708458
FORD-Kenya	0.0707941
"China Federation"	0.0707514
"International Society"	0.0707251
"House Appropriations Committee"	0.0707116
SANDF	0.0705431
CPA	0.070383
"Senate Finance Committee"	0.0700944
"Senate Commerce Committee"	0.0699972
"Meretz Party"	0.0699447
IPU	0.0696577
"House Banking Committee"	0.0696153
INEC	0.0695994
"General Council"	0.0691241
"Hong Kong Federation"	0.0687829
"Jiang Zemin"	0.0687787
"Chinese People"	0.0686921
RCD	0.0684336
"HKSAR Government"	0.0683082
"Zeng Qinghong"	0.0681547
ICA	0.0681077
BOI	0.0680266
"finance committee"	0.0678868
"Palestine National Council"	0.0678611
MILF	0.0673179
"Business Council"	0.0671847
"South African National Defense Force"	0.0670753
Histadrut	0.0668556
"Association for Relations Across"	0.0659976
PATA	0.0654043
"Likud Party"	0.0653861
"Chinese Communist Party Central Committee"	0.0653651
"Russian Security Council"	0.0652787
"Republican National Committee"	0.0652137
CSC	0.0651565
UNP	0.0651139
"Propaganda Department"	0.065071
"National Economic Council"	0.0650465
"Communist Party of China"	0.0646952
"National People"	0.0643678
"China Central Committee"	0.0640391
"Senate Foreign Relations Committee"	0.0637266
RNC	0.0637059
"State Planning Commission"	0.063574
CFTC	0.0635594
"Ministry of Justice"	0.0635116
"Supreme Council"	0.0634321
Zanu-pf	0.0629757
"Public Service Commission"	0.0628138
PUC	0.06251
"Song Jian"	0.0623888
"Conservative Party"	0.0623371
"Democratic Alliance"	0.0621836
"Atomic Energy Commission"	0.0621555
IEC	0.0620732
Duma	0.0620067
"Wu Bangguo"	0.0619198
"Provisional Urban Council"	0.0617465
"Revolutionary Party"	0.0617344
SADC	0.0615583
BIA	0.0613528
"South Pacific Forum"	0.0613435
DPP	0.0612781
"King Sihanouk"	0.0610304
"House Commerce Committee"	0.0609515
"Indonesian Armed Forces"	0.0608583
"Badminton Association of Indonesia"	0.0605242
CPC	0.0604981
"House Ways and Means Committee"	0.0604067
"Ding Guangen"	0.060332
IFP	0.0602796
Wada	0.0602204
SDPC	0.0598244
Laban	0.0597627
CDU	0.059646
Mensa	0.0596131
))
(CMG (desc 962.504) (sims
IDT	0.147487
McCaw	0.137263
"Cable &AMP; Wireless"	0.133207
"KCP&AMP;L"	0.125576
Sepracor	0.122716
Informix	0.115555
CMGI	0.113771
XYLAN	0.113663
GEC	0.111909
ICI	0.107757
YPF	0.106019
UAM	0.10479
"Computer Associates"	0.10156
Cadbury	0.100852
Viag	0.10056
TYCO	0.0995184
DoCoMo	0.0984702
Aegon	0.0984028
"Cox Communications"	0.0978788
MiniMed	0.0973623
"National Grid"	0.0971586
Telstra	0.0948206
AIG	0.0942039
NetZero	0.0937679
"Softbank Corp."	0.0934292
Medtronic	0.0932034
ExciteAtHome	0.0929879
TELLABS	0.0923733
BHP	0.0923409
Deutsche	0.091295
"News Corp"	0.0910267
NatWest	0.0901382
"Dayton Hudson"	0.0897686
Schlumberger	0.0894952
"HBO &AMP; Co."	0.0888249
Litton	0.0886477
Novell	0.0884526
KPN	0.0879129
AutoNation	0.0874845
"RJR Nabisco"	0.0871366
REPSOL	0.0868389
Penney	0.0867844
Chiron	0.0865725
Berkshire	0.0856474
"Cadbury Schweppes"	0.0854245
abacus	0.0853605
Scientific-Atlanta	0.0848979
"Eli Lilly"	0.0837794
Novartis	0.0837562
"Nortel Networks"	0.0831064
Nextel	0.0827602
Starwood	0.0825652
Georgia-Pacific	0.0822311
NTL	0.0820527
Diageo	0.0819608
VoiceStream	0.0817118
"Times Co."	0.0816028
Vivendi	0.0815747
GANNETT	0.0815362
"Berkshire Hathaway"	0.081307
SmithKline	0.0812335
"Robertson Stephens"	0.0806935
Cabot	0.0805761
Clorox	0.0801526
"Cisco Systems"	0.0798276
Zapata	0.0794719
"Adobe Systems"	0.0790744
NORTHROP	0.0788971
"Canal Plus"	0.0788321
"United Technologies"	0.0788214
GoTo.com	0.0786688
Fedex	0.0784137
Netcom	0.0783953
"Thermo Electron"	0.0783209
Corel	0.078205
"IMS Health"	0.0778868
ZIFF-DAVIS	0.077407
Checkfree	0.0774023
AlliedSignal	0.0772745
Maytag	0.0772378
"Commonwealth Bank"	0.0769848
Comcast	0.0769234
WorldCom	0.0768963
Citigroup	0.0767013
Mabetex	0.0766926
Norwest	0.076535
Alcatel	0.0762641
BASF	0.0760798
EMC	0.0758164
Nortel	0.0757719
"USA Networks"	0.0755559
sub-index	0.0755394
Terra	0.0752175
VENATOR	0.0751652
TCI	0.0748726
Weyerhaeuser	0.0748669
PictureTel	0.074843
Ciena	0.0747966
"Campbell Soup"	0.0747149
Alcoa	0.0744336
Daimler	0.074417
UAL	0.0742154
Emulex	0.0739532
Asda	0.0737018
BSKyB	0.0735233
Wachovia	0.0735028
ENTERGY	0.073176
Priceline.com	0.0730986
"Royal Bank"	0.0730701
SingTel	0.07303
Pairgain	0.0729779
Ahold	0.0729142
ATHOME	0.0717965
MindSpring	0.0715203
Mondavi	0.0712416
"True North"	0.0711865
CDnow	0.0710575
ADM	0.0709931
Immunex	0.0706275
EA	0.0705937
ani	0.0705717
VEBA	0.0704606
CNET	0.0704057
Italia	0.0703879
IDG	0.0703429
Hancock	0.0702167
TiVo	0.069988
"National Australia Bank"	0.0698399
PLDT	0.0698235
Honeywell	0.0697069
Softbank	0.0695978
NCR	0.0695543
Mediaone	0.0694035
Mannesmann	0.0693658
Seagate	0.0692306
Heinz	0.0692121
"Washington Mutual"	0.0692116
"Y&AMP;R"	0.0692056
"CMGI Inc."	0.069199
PETROBRAS	0.0691295
Gartner	0.069081
Intl	0.0689544
Bristol-Myers	0.068823
Unilever	0.0687499
REVLON	0.0685456
"P&AMP;G"	0.0684613
SBC	0.0683975
UTC	0.0681081
AstraZeneca	0.0679331
talisman	0.0679045
BankBoston	0.0677832
Caldera	0.0676831
Biogen	0.0676802
"Deutsche Telekom"	0.0676207
Marconi	0.0676005
Seagram	0.0675159
"Atlantic Richfield"	0.0674913
EarthLink	0.0673991
"Frank Luntz"	0.0673602
Glaser	0.0671726
Chevron	0.0671474
Corning	0.0670895
"Yankee Group"	0.0668988
Schwab	0.0666159
Telefonica	0.0662719
"News Corp."	0.066268
chipmakers	0.0662205
Amgen	0.0661217
RJR	0.0660609
"Wireless Optus"	0.0658768
Chris-Craft	0.0657673
Tenneco	0.0656982
Telkom	0.0656475
Echostar	0.0655474
Cabletron	0.0655124
Publicis	0.0654757
"Cisco Systems Inc."	0.0654312
"Union Carbide"	0.065208
Dupont	0.0652053
Rhone-Poulenc	0.0651522
nuts-and-bolts	0.0651011
Bertelsmann	0.0648048
Dresdner	0.0645912
Cablevision	0.0645442
Lycos	0.0644563
HP	0.0644445
"Paul Allen"	0.0640913
"France Telecom"	0.0638202
Pearson	0.0637948
Geron	0.0637882
Akamai	0.0636487
"UAL Corp."	0.0635556
AHP	0.063551
BP	0.0635509
"Big Blue"	0.0635364
Bridgestone	0.0634985
ZDNet	0.0634825
SFX	0.0634574
Bestfoods	0.0634313
"America Online Inc."	0.0634198
))
(CMGI (desc 8534.07) (sims
"CMGI Inc."	0.23267
"Berkshire Hathaway"	0.184601
"News Corp."	0.1841
EMC	0.183948
Lycos	0.164889
Mannesmann	0.162598
McKesson	0.161142
Emulex	0.160684
"USA Networks"	0.157981
ExciteAtHome	0.157618
AMR	0.15743
Akamai	0.157029
Seagram	0.154047
Viacom	0.153766
RJR	0.152701
Ciena	0.151335
Vivendi	0.149676
Nortel	0.149365
Omnicom	0.146166
ALZA	0.144962
Bertelsmann	0.144155
Telefonica	0.143467
SBC	0.14344
"Thermo Electron"	0.143131
Infoseek	0.143095
Genentech	0.142928
Cisco	0.14264
AIG	0.14236
"MCI WorldCom"	0.141972
"Telecom Italia"	0.14146
E-LOAN	0.140979
Qwest	0.140371
Healtheon	0.140149
"Global Crossing"	0.13992
TYCO	0.139209
"National Grid"	0.1384
Inktomi	0.137888
CNET	0.137818
Softbank	0.137759
BellSouth	0.137261
DoubleClick	0.137193
RealNetworks	0.13656
TCI	0.136039
Priceline.com	0.135167
"U.S. Trust"	0.13511
Vodafone	0.135065
"Deutsche Telekom"	0.134412
WorldCom	0.134178
"P&AMP;G"	0.134063
Berkshire	0.133984
Cendant	0.133409
"BP Amoco"	0.132931
GANNETT	0.131903
Nextel	0.131505
Daimler	0.131255
Starwood	0.130906
Checkfree	0.130798
Litton	0.12963
oracle	0.12896
Sunbeam	0.128162
Comcast	0.127529
Aetna	0.127417
GTE	0.12723
"JDS Uniphase"	0.126785
ZIFF-DAVIS	0.126597
Compaq	0.126071
"Time Warner"	0.125765
EarthLink	0.125698
"Ask Jeeves"	0.125464
IDT	0.125103
"Tribune Co."	0.124971
Pepsico	0.124721
Genzyme	0.124602
Norwest	0.1246
"U S West"	0.124568
"Computer Associates"	0.124412
"Learning Co."	0.123928
excite	0.12375
Alcatel	0.123632
Motorola	0.123468
Gazprom	0.123162
Enron	0.123113
"America Online"	0.123034
Monsanto	0.122865
"Gap Inc."	0.122058
Qualcomm	0.12198
"Rite Aid"	0.121908
ARCO	0.121905
BankAmerica	0.121773
NiSource	0.121746
AltaVista	0.121598
Healtheon/WebMD	0.121422
VoiceStream	0.121376
"Walt Disney Co."	0.121257
DaimlerChrysler	0.121082
HP	0.12086
ETrade	0.120722
Novartis	0.120216
NORTHROP	0.120193
Echostar	0.120087
Biogen	0.119696
Amgen	0.11967
Dupont	0.11965
SmithKline	0.119631
Mattel	0.119617
SDL	0.119582
eBay	0.119535
Halliburton	0.119086
ENTREMED	0.119046
UAL	0.118996
Renault	0.118662
Bestfoods	0.118047
VENATOR	0.117582
Cablevision	0.116953
XYLAN	0.116923
Honeywell	0.116853
Corning	0.1168
"Dell Computer"	0.116483
NatWest	0.115797
Cabletron	0.115748
Yahoo	0.115695
Kodak	0.115334
ascend	0.115257
Schwab	0.11523
WebMD	0.115069
Amazon.com	0.11506
"Times Mirror"	0.114932
Seagate	0.114915
Clorox	0.114863
"True North"	0.114624
Pfizer	0.114559
"Lucent Technologies"	0.114202
MindSpring	0.113978
Airtouch	0.113913
"Bausch &AMP; Lomb"	0.113827
CMG	0.113771
"RJR Nabisco"	0.113712
NTL	0.113587
WPP	0.113584
COLTEC	0.113525
UBS	0.113371
IBM	0.113051
NTT	0.112914
Georgia-Pacific	0.112881
Livent	0.112846
"Times Co."	0.112828
Exxon	0.112676
GEC	0.112612
"Red Hat"	0.112579
Schlumberger	0.112232
SFX	0.112159
BSKyB	0.112105
ENTERGY	0.112092
"HBO &AMP; Co."	0.111869
UAM	0.111831
"Nortel Networks"	0.111788
Corel	0.111764
Terra	0.111407
AstraZeneca	0.111316
Broadcast.com	0.111106
MACROMEDIA	0.111076
Intel	0.111062
PLDT	0.111038
Hasbro	0.110928
Siemens	0.110677
"Johnson &AMP; Johnson"	0.110615
Tenneco	0.110437
Paribas	0.110169
Chevron	0.109563
Lockheed	0.109518
Sepracor	0.109488
MCI	0.109413
Unilever	0.10919
theglobe.com	0.108982
Lucent	0.108543
PEOPLESOFT	0.10844
"American Home Products"	0.108394
Olivetti	0.108356
"France Telecom"	0.108276
"Phelps Dodge"	0.108207
ATHOME	0.108194
Webvan	0.108167
"Pacific Century"	0.10814
Dell	0.108066
"Sara Lee"	0.107838
AOL	0.1077
Mediaone	0.107644
Warner-Lambert	0.107327
sandpiper	0.107309
"UAL Corp."	0.10716
BCE	0.107089
AutoNation	0.107019
"Bell Atlantic"	0.106846
Hewlett-Packard	0.106823
Astra	0.106795
Novell	0.10675
GeoCities	0.106739
Texaco	0.106639
"Softbank Corp."	0.106552
Ge	0.106428
"Deutsche Bank"	0.106364
"Boston Scientific"	0.106119
Daimler-Benz	0.105471
Delphi	0.105194
Scientific-Atlanta	0.105115
"Knight Ridder"	0.105109
Broadcom	0.105074
Netscape	0.104959
TELLABS	0.104621
"Procter &AMP; Gamble"	0.104277
LVMH	0.104226
Albertson's	0.104069
Hoechst	0.103873
Citigroup	0.103833
Raytheon	0.103804
CCE	0.103734
Telstra	0.103184
iVillage	0.103002
Amoco	0.102946
NASD	0.102533
Ericsson	0.102472
fidelity	0.102193
YPF	0.102081
Petrofina	0.101877
"Hambrecht &AMP; Quist"	0.101846
Ameritech	0.101724
CDnow	0.101653
"Y&AMP;R"	0.101379
"Sun Microsystems"	0.10132
Microsoft	0.101253
"Bankers Trust"	0.101166
BankBoston	0.101067
"Fannie Mae"	0.101006
"General Electric"	0.100861
MP@.com	0.10082
eToys	0.100751
"Waste Management"	0.10072
Gillette	0.100526
))
("CMGI Inc." (desc 2647.61) (sims
CMGI	0.23267
"Halliburton Co."	0.201053
"Pacific Century Cyberworks"	0.175623
"AMR Corp."	0.168125
"Berkshire Hathaway"	0.166228
"Softbank Corp."	0.163593
"Cisco Systems Inc."	0.154811
"UAL Corp."	0.142931
"Relevant Knowledge"	0.139577
Schlumberger	0.137397
"American International Group"	0.13566
"Vanguard Group"	0.135267
Softbank	0.12924
"Goldman Sachs Group"	0.12905
"Lipper Inc."	0.128401
Healtheon	0.12797
"SBC Communications Inc."	0.127195
"Lycos Inc."	0.126741
"Federated Department Stores"	0.124944
"Seagram Co."	0.124149
"Chase Manhattan Corp."	0.123563
"Gap Inc."	0.123207
"Enron Corp."	0.122912
DoubleClick	0.122746
"Tele-Communications Inc."	0.122267
"Media Metrix"	0.122243
"Mannesmann AG"	0.122041
"Hambrecht &AMP; Quist"	0.118704
"Times Co."	0.118063
"Citigroup Inc."	0.114672
"Media Partners"	0.113789
"IMS Health"	0.113245
"HBO &AMP; Co."	0.113015
"Gomez Advisors"	0.112477
AstraZeneca	0.111821
"Symantec Corp."	0.111492
"PC Data"	0.111238
"Oracle Corp."	0.110121
"Omnicom Group"	0.109724
Genzyme	0.109681
"MindSpring Enterprises"	0.109625
"Northern Telecom"	0.109567
"Livent Inc."	0.109565
"Viacom Inc."	0.108918
Novartis	0.108898
Publicis	0.108528
"Monsanto Co."	0.107548
AMR	0.106883
"Exxon Corp."	0.10653
"Computer Associates"	0.106445
Telefonica	0.106087
Inc.	0.105626
"Glaxo Wellcome"	0.105405
"Dow Jones &AMP; Co."	0.10506
"Knight Ridder"	0.105013
Halliburton	0.104785
"UBS AG"	0.104042
"Bertelsmann AG"	0.103942
"News Corp."	0.10356
"Travelers Group"	0.103421
"Jupiter Communications"	0.102564
"Motorola Inc."	0.102363
"International Business Machines Corp."	0.102011
"Northeast Utilities"	0.101563
"Hughes Electronics Corp."	0.101421
"Network Associates"	0.101182
"Cendant Corp."	0.101083
"Staples Inc."	0.100851
"Pfizer Inc."	0.100444
RealNetworks	0.100178
"True North"	0.100043
Priceline.com	0.099384
"Merck &AMP; Co."	0.0993078
"Deutsche Bank AG"	0.098861
Teledesic	0.0986638
"Qualcomm Inc."	0.098191
"Hearst Corporation"	0.0980196
CNET	0.0975179
"International Data Corp."	0.0966956
TIAA-CREF	0.0965962
"Merrill Lynch"	0.0961288
"National Semiconductor"	0.0961112
Emulex	0.0953259
ALZA	0.0950319
Bestfoods	0.094777
Vivendi	0.0943118
"Morgan Stanley Dean Witter"	0.0934518
"Forrester Research"	0.093412
"EMC Corp."	0.0933533
"Goldman Sachs"	0.0932732
"Charles Schwab"	0.0928637
"Vodafone AirTouch"	0.0928011
Omnicom	0.0927993
"Dell Computer Corp."	0.0927932
"Chevron Corp."	0.0927006
"Cox Communications"	0.0925479
"Cisco Systems"	0.0925252
"Fannie Mae"	0.0924087
"Aetna Inc."	0.0923534
WPP	0.0917164
Unilever	0.091709
"Tribune Co."	0.0916909
ENTREMED	0.091644
ExciteAtHome	0.0911565
"Fidelity Investments"	0.0910359
"Bell Atlantic Corp."	0.0910184
"Lucent Technologies"	0.0909847
Viacom	0.0907255
"Ask Jeeves"	0.090413
SNCF	0.0899508
"Royal Dutch/Shell"	0.0899337
MarketWatch.com	0.0898086
"Gartner Group"	0.0893855
"National Grid"	0.0892799
"American Home Products"	0.0890442
SFX	0.0889823
"Time Warner Inc."	0.0889671
"Liberty Media"	0.0889337
"Siemens AG"	0.0888668
BASF	0.0885334
Gazprom	0.088252
Ltd	0.0881382
"Canal Plus"	0.0880962
Diageo	0.0879605
MP@.com	0.0878887
"Legend Group"	0.0877667
"Bausch &AMP; Lomb"	0.0871991
"Mattel Inc."	0.0870765
UAL	0.0870588
"America Online Inc."	0.0869802
GEC	0.0865968
"General Electric Co."	0.0861561
Pepsico	0.0861447
"U.S. Trust"	0.0860572
GANNETT	0.0860213
ZIFF-DAVIS	0.0860195
"Nortel Networks"	0.0858818
Corel	0.0857216
EMC	0.0853791
YankeeNets	0.0853271
"Global Crossing"	0.0852936
"English Football Association"	0.0851701
Healtheon/WebMD	0.0849459
"ELF AQUITAINE"	0.0847387
SAirGroup	0.0847027
"MediaOne Group"	0.0845591
Bertelsmann	0.0845266
"Eli Lilly"	0.0841264
Cargill	0.0841072
"Hearst Corp."	0.0839212
"International Management Group"	0.0839065
Enron	0.0838988
"Sun Microsystems"	0.083783
Citigroup	0.0834935
Hasbro	0.0834021
"Phelps Dodge"	0.0829293
"Ford Motor Company"	0.0828701
Pfizer	0.0828634
"Yahoo Inc."	0.0828175
China.com	0.0826885
"Hewlett-Packard Co."	0.0826587
"Long-Term Capital Management"	0.0825451
"Charles Schwab Corp."	0.0824828
E-LOAN	0.0824517
"Saatchi &AMP; Saatchi"	0.0824333
"SmithKline Beecham"	0.0824105
VICKERS	0.0817862
TCI	0.0816716
"Learning Co."	0.0815918
"Sony Corp."	0.0815676
Monsanto	0.0814114
Telebras	0.0811099
Federated	0.0810693
"Walt Disney Co."	0.0810271
Alcatel	0.0807894
"Koch Industries"	0.0806786
"Nippon Telegraph"	0.0806191
VEBA	0.080516
Honeywell	0.0805109
Novell	0.0803505
"Real Networks"	0.0802329
NiSource	0.0802241
Qualcomm	0.0801488
DrKoop.com	0.0800953
"Y&AMP;R"	0.0799994
"GE Capital"	0.0798587
Litton	0.079665
"Vivendi SA"	0.0796289
"CBS Corp."	0.0794858
"Bear Stearns"	0.079362
"Carl Icahn"	0.0791317
"Daimlerchrysler AG"	0.0791304
WebMD	0.0790599
Webvan	0.0787722
"Hongkong Telecom"	0.0786971
NTL	0.0786515
"Coca-Cola Enterprises"	0.0782829
"General Electric"	0.0782815
"Putnam Investments"	0.0782647
Media-MOST	0.0780207
))
(cn (desc 1284.25) (sims
"Air Canada"	0.0917366
Transamerica	0.0912068
CSX	0.0901611
Thibault	0.0874821
bombardier	0.0828742
Dunham	0.0822165
Seagram	0.0765653
"Norfolk Southern"	0.0763991
"Union Pacific"	0.0761053
Legace	0.0710163
Barrasso	0.068941
Vanbiesbrouck	0.0637461
"KCP&AMP;L"	0.0612578
Ranford	0.060552
Soleil	0.0599169
Conrail	0.0580971
Dasa	0.0580734
oil-for-food	0.057116
AMEX	0.0565613
"AOL Time Warner"	0.0556825
Ingalls	0.0556203
Waite	0.0546955
WebMD	0.0539613
ATC	0.0536098
KPN	0.0524274
SAA	0.0518114
SNCF	0.0517913
YankeeNets	0.0517715
"power company"	0.0513267
WEU	0.0509324
Comsat	0.0504296
Kolzig	0.0504111
ITC	0.050401
IFP	0.0500634
OCA	0.0498857
"New York Republicans"	0.049408
"Comcast Corp."	0.049045
"bus company"	0.0489798
Enron	0.0482397
"U.S. Soccer Federation"	0.0481387
Daimler-Chrysler	0.04808
SDP	0.0480751
NASD	0.0479541
"cotton mill"	0.0479379
"old times"	0.0478921
Guerra	0.0477373
walk-up	0.0471072
Daimler	0.0468029
"Royal Bank"	0.0463955
Hoechst	0.0457052
"McDonnell Douglas"	0.0456605
Telkom	0.045583
Pemex	0.045514
TCI	0.0451231
Norwest	0.0449862
"Amien Rais"	0.044832
Exxon-Mobil	0.0444512
"South African Airways"	0.0444265
TAZARA	0.0442622
AGL	0.0440735
ZCCM	0.043867
CAA	0.0438482
CBC	0.0428324
TR	0.0425227
Monsanto	0.0423294
RIAA	0.0422949
"Agriculture Ministry"	0.0421286
Histadrut	0.0420557
"Century City"	0.0420191
mujahedeen	0.0417742
NCR	0.0417384
weightings	0.0417028
Astra	0.0415973
"coffee pot"	0.0415356
DLC	0.0414402
"Con Ed"	0.0413241
McKesson	0.041318
"Canadian Airlines"	0.0412374
Turkmen	0.0410597
tranches	0.0407282
"Georgia Power"	0.0406986
CUC	0.0406249
COSCO	0.0404747
"Price Waterhouse"	0.0404631
"Thomson CSF"	0.0401379
))
(CNA (desc 1182.69) (sims
"Agence France Presse"	0.136289
"Business Times"	0.134351
"Ghana News Agency"	0.125155
"Moscow Times"	0.123998
WAM	0.121356
ATA	0.121245
APA	0.120836
Notimex	0.120815
"Egyptian Middle East News Agency"	0.119505
CTV	0.117714
"Kyodo News"	0.115652
Antara	0.115187
Tass	0.115113
"Zambia News Agency"	0.113992
"Indonesian Observer"	0.112315
"Southern African Broadcasting Association"	0.111792
"Saudi Press Agency"	0.11143
"Sydney Morning Herald"	0.110861
"Cyprus News Agency"	0.110602
"Kathmandu Post"	0.110595
SAPA	0.110358
NHK	0.109504
"United Press International"	0.109465
Lusa	0.10926
"Korean Central News Agency"	0.108063
"Kyodo News Service"	0.107667
"Straits Times"	0.10716
"El Pais"	0.106377
"Rwanda News Agency"	0.106
"Thai News Agency"	0.105919
RSS	0.10341
"Zimbabwe News Agency"	0.102413
"Dow Jones Newswires"	0.101643
MTI	0.101016
Kommersant	0.100787
BS	0.100691
Maariv	0.100104
"Information Center"	0.0989702
"Ethiopian News Agency"	0.0968188
Angop	0.095516
"New Straits Times"	0.0954978
"Macao Daily News"	0.0948197
"Turkish Daily News"	0.0946945
"Tehran Times"	0.0935111
"Jakarta Post"	0.0931267
"Australian Associated Press"	0.0926395
Transamerica	0.092539
"Daily Times"	0.0912885
Ansa	0.091142
"Labor office"	0.0907062
UPI	0.0903105
KPL	0.0901707
AFP	0.089029
ABS-CBN	0.0885233
"South China Morning Post"	0.0882833
"Jerusalem Media and Communication Center"	0.0879589
"Press Trust of India"	0.0876403
"Associated Press of Pakistan"	0.0875748
Yastrzhembsky	0.0873596
"Nihon Keizai Shimbun"	0.0870343
Harmoko	0.0868249
"Egyptian Gazette"	0.0867766
Noticias	0.0861067
INA	0.0858894
"Press Trust"	0.085317
Anatolia	0.0850395
Allstate	0.0848895
KUNA	0.0848509
PNP	0.0847112
Haaretz	0.0839211
"Der Spiegel"	0.0836283
TDB	0.0834152
TT	0.0833093
"Asahi Shimbun"	0.083241
"Iran News"	0.0829576
"Defense Agency"	0.0829175
"Vietnam News"	0.0825856
MENA	0.0824781
PTI	0.0823258
Hurriyet	0.0822813
TC	0.0822692
Stratus	0.082131
"Kenya Times"	0.082095
"Jordan Times"	0.0818502
"Philippine News Agency"	0.0815651
Reforma	0.0812731
IEA	0.0811001
"Athens News Agency"	0.0809348
"British Broadcasting Corporation"	0.08083
IRNA	0.0806973
"News Agency of Nigeria"	0.0805005
RNA	0.0804254
"Daily Star"	0.0802847
"Kuwait News Agency"	0.0801881
"Vietnam News Agency"	0.0799716
"Iraqi News Agency"	0.0794628
Petra	0.0793926
"Antara News Agency"	0.0792372
SAirGroup	0.0791823
"Al Hayat"	0.0791798
"Islamic Republic News Agency"	0.0790328
Kyodo	0.0790001
"Business Weekly"	0.0789291
"National Association of Realtors"	0.0787974
NTV	0.0784706
Asahi	0.0782219
"press agency"	0.0781747
OCA	0.0777916
Sowetan	0.0777864
"The New Vision"	0.0777526
Bernama	0.0775128
MPAA	0.0774864
"Yomiuri Shimbun"	0.0773602
"Khaleej Times"	0.0772258
Al-Ahram	0.0766468
Dana-Farber	0.0764226
"Agence France-Presse"	0.0760056
"Gulf News"	0.0759158
"International Business Daily"	0.0750669
"China Daily Business Weekly"	0.0750019
NSC	0.0748387
"Beijing Youth Daily"	0.0742833
"RJR Nabisco"	0.0740291
AGL	0.073906
"U.S. Labor Department"	0.0738538
"San Antonio Express-News"	0.0737685
"New Vision"	0.0730541
"Yediot Ahronot"	0.0722406
SSB	0.0722075
CBC	0.0721553
BankAmerica	0.0717144
"Post Express"	0.0715808
"Business Day"	0.071433
Shareh	0.0714268
UAL	0.0714192
"Middle East News Agency"	0.0713731
"East African Standard"	0.0713503
CSE	0.0709237
"Daily Nation"	0.0707235
"Le Monde"	0.0705466
"Jerusalem Post"	0.0703862
VENATOR	0.0703332
RUC	0.0701841
"Al Ahram"	0.0701703
Marconi	0.0700517
APP	0.0697921
Spiegel	0.0697729
"China Youth Daily"	0.0693942
NARAL	0.0691008
"Seattle Times"	0.0688907
Bulog	0.0688134
"Radio Uganda"	0.0685942
Jana	0.0685863
Inquirer	0.0681488
DNR	0.0680156
RIAA	0.0680107
Fernandes	0.0679837
"Zambia Daily Mail"	0.067976
GSS	0.0679019
"Beijing Daily"	0.0674049
"Wenhui Daily"	0.0670977
"Waste Management"	0.0666913
PSE	0.0663559
"El Mundo"	0.0662999
"Hollywood Reporter"	0.0662452
Granma	0.0659231
"Bank of Israel"	0.0658526
"Anatolia News Agency"	0.0656189
"Airport Authority"	0.0655737
Malu	0.0655493
"Israel Radio"	0.06543
CAA	0.0654022
Korman	0.0652588
Tanjug	0.0651255
"Ethiopian Herald"	0.0649905
"Alam Al Yom"	0.0648193
CBK	0.0646623
DFB	0.0646608
"The Monitor"	0.0645582
"Dayton Hudson"	0.0645208
"Financial Mail"	0.0645007
OPIC	0.0644416
"New Nigerian"	0.0640513
CUC	0.0638612
SANDF	0.0637313
Roberds	0.0636796
al-Hayat	0.0635468
"Economic Daily"	0.0633368
"South African Press Association"	0.0630575
Blanton	0.0629857
JMCC	0.0624305
DSE	0.0624214
Televisa	0.0624111
"Bausch &AMP; Lomb"	0.0623752
Sera	0.0622198
BOJ	0.0621343
Yomiuri	0.0621208
"Thermo Electron"	0.0618698
"British Broadcasting Corp."	0.0618255
Singson	0.0618196
))
(CNBC (desc 12610.6) (sims
MSNBC	0.27658
C-Span	0.250802
CNN	0.223
"Fox News Channel"	0.184373
"Fox News"	0.181192
"Court TV"	0.171119
VH@	0.164283
ESPN	0.159545
"National Public Radio"	0.152241
PBS	0.148752
TNT	0.148482
Nickelodeon	0.146851
NBC	0.146423
ABS-CBN	0.14607
CBs	0.145745
"NBC News"	0.145562
ABC	0.144945
"Animal Planet"	0.144617
CNNfn	0.144485
"Comedy Central"	0.143829
MTV	0.142131
NTV	0.140183
UPN	0.128365
BBC	0.125659
"cable network"	0.12423
Univision	0.124102
HBO	0.124097
"British Broadcasting Corp."	0.123059
ORT	0.122576
"Fox Sports Net"	0.120173
"ABC News"	0.118554
"Cable News Network"	0.11815
ESPN@	0.116524
"CBS News"	0.116465
"Good Morning America"	0.11581
Televisa	0.113765
QVC	0.11257
VH-@	0.112307
"television network"	0.112158
Showtime	0.111689
"Weather Channel"	0.111129
"Channel @"	0.110016
Reuters	0.108865
Nightline	0.107924
TNN	0.105968
iTV	0.105647
CBS-TV	0.10485
"news program"	0.103545
"Discovery Channel"	0.103427
WB	0.101901
"television news"	0.10144
NHK	0.100972
channel	0.100344
"Black Entertainment Television"	0.0989851
Fox	0.0982305
"television station"	0.0980756
"TV network"	0.0961477
"Food Network"	0.0957214
"TV station"	0.0947057
"Turner Sports"	0.0944511
"Pax TV"	0.0944195
"cable television"	0.0943644
"news show"	0.0940483
TV	0.0934545
"Dateline NBC"	0.0924892
television	0.0922722
"Late Edition"	0.091101
"Disney Channel"	0.0903646
"Entertainment Tonight"	0.0895913
"Golf Channel"	0.0885917
Tb	0.0871918
"History Channel"	0.0871159
"Fox Sports"	0.0870932
"Today Show"	0.0856065
"USA Network"	0.0844307
PAX	0.0839874
CTV	0.0835107
"Channel @@"	0.0816902
"USA TODAY"	0.0815492
"Cartoon Network"	0.0794944
"radio station"	0.0780906
WMUR-TV	0.0779518
newscast	0.0776196
CNET	0.0773218
"Washington Times"	0.0771787
Telemundo	0.0770083
Newsweek	0.0754708
"Time Inc."	0.0740705
"Voice of America"	0.0736878
RCN	0.0733843
CBC	0.0732956
ZDTV	0.0725842
"Associated Press"	0.0716125
"Los Angeles Times"	0.071265
"Dow Jones Newswires"	0.070679
"Financial Times"	0.0701831
"talk show"	0.0699284
"Washington Post"	0.0697491
FX	0.0687683
NewsHour	0.0684064
Dateline	0.068113
bravo	0.0675533
"Wall Street Journal"	0.0666762
"Der Spiegel"	0.0660977
SportsCenter	0.0655823
"Turner Classic Movies"	0.0650793
CNN/SI	0.0647556
ABC-TV	0.0643787
"ABC Sports"	0.0641517
"New York Times"	0.0639213
"Boston Globe"	0.0637267
APTN	0.0634698
"Sports Illustrated"	0.0632438
Instinet	0.062539
BSKyB	0.062473
ABCNews.com	0.0621487
"Bloomberg News"	0.0621453
"CBS Sports"	0.0621372
Post-Intelligencer	0.0620805
cable	0.061738
IRNA	0.061713
"Home Shopping Network"	0.0615022
"Israel Radio"	0.0607646
DirecTV	0.0605415
"Larry King Live"	0.0602793
"China Central Television"	0.0600415
"Nashville Network"	0.0599738
TheStreet.com	0.0598195
NPR	0.059377
"Denver Post"	0.059297
"Sky TV"	0.0592117
"Time Warner"	0.059163
"Radio Liberty"	0.0589486
"Larry King"	0.0587936
"Dallas Morning News"	0.0587606
"USA Networks"	0.0585345
"Canal Plus"	0.0584879
broadcasting	0.0581103
Bloomberg	0.0570027
CCTV	0.0569969
Rai	0.0564078
"Chicago Tribune"	0.0563942
Quokka	0.0560476
"New York Post"	0.0560138
"television program"	0.0559968
"Daily Show"	0.0557082
Moneyline	0.0556543
"British Broadcasting Corporation"	0.0555741
"Fox TV"	0.0554681
WGN	0.0553297
e	0.0549027
Izvestia	0.0546049
"Arizona Republic"	0.0545441
"Turner Broadcasting"	0.0542163
affiliate	0.0541607
NBC-TV	0.0540199
"TV program"	0.0534528
"television show"	0.0530717
"Tom Brokaw"	0.0530609
"Dan Rather"	0.0528669
outlet	0.0525118
"Xinhua News Agency"	0.0524875
MSG	0.0514148
"Fox Sports News"	0.0512243
Haaretz	0.0511549
IDG	0.0507112
ZDNet	0.0504423
"United Press International"	0.0503671
"El Pais"	0.0498256
"Night Football"	0.0495582
Oprah	0.0495128
WCW	0.0494919
Viacom	0.0492679
"U.S. Agriculture Department"	0.0492306
broadcaster	0.049006
"TV Land"	0.0489857
AOL	0.0487399
"Cox Newspapers"	0.0487354
"New York Times Co."	0.0486972
"wire service"	0.0485712
"Seattle Times"	0.0485413
"Motion Picture Association of America"	0.0484109
"San Jose Mercury News"	0.0483894
"Boston Herald"	0.0482906
"Philadelphia Inquirer"	0.0480956
MSN	0.0478706
"news service"	0.0477798
KPFA	0.0477468
DoubleClick	0.0476984
Star-Ledger	0.0475984
"Sporting News"	0.04747
Lycos	0.0474108
"Early Show"	0.0473584
"Business Week"	0.0468048
"GE Capital"	0.0467547
UPI	0.0467338
"Walt Disney Co."	0.0466644
"soap opera"	0.0466341
"Nihon Keizai Shimbun"	0.0465222
pay-per-view	0.046389
))
(CNET (desc 6831.62) (sims
Lycos	0.16896
ZDNet	0.157762
Infoseek	0.153444
excite	0.143849
Priceline	0.141667
TheStreet.com	0.141458
DoubleClick	0.141316
GeoCities	0.138249
CMGI	0.137818
Webvan	0.13501
EMC	0.134928
Yahoo	0.132442
ALZA	0.132188
ETrade	0.131621
Viacom	0.129496
RealNetworks	0.129385
McKesson	0.129252
ExciteAtHome	0.129105
CDnow	0.128813
EarthLink	0.128778
"Time Warner"	0.127896
Broadcast.com	0.127068
Healtheon	0.126881
E-Trade	0.12611
"Alta Vista"	0.125855
PLDT	0.125186
Priceline.com	0.124727
GANNETT	0.124663
"Times Co."	0.123047
Genentech	0.122465
iVillage	0.120675
"Oracle Corp."	0.12049
WebMD	0.119042
E-LOAN	0.117754
Nortel	0.117621
ZIFF-DAVIS	0.117222
"Ask Jeeves"	0.115162
"News Corp."	0.114632
Schwab	0.114602
AltaVista	0.114411
"Times Mirror"	0.113819
Amazon.com	0.113553
MP@.com	0.113066
Cisco	0.112785
Nextel	0.112168
UAL	0.111953
ENTREMED	0.111588
Corel	0.111225
Salon.com	0.110972
GTE	0.110951
Aetna	0.110946
"America Online"	0.110937
Qualcomm	0.110649
"USA Networks"	0.110044
eToys	0.109881
Ciena	0.109815
"Knight Ridder"	0.109505
Healtheon/WebMD	0.109331
ascend	0.10921
MindSpring	0.108318
"MCI WorldCom"	0.108306
Mattel	0.108259
"Dell Computer Corp."	0.108195
Halliburton	0.10767
Drugstore.com	0.107527
TCI	0.107464
Seagram	0.107266
Biogen	0.106962
"Network Associates"	0.106811
Qwest	0.106653
Mannesmann	0.106058
oracle	0.105848
"Red Hat"	0.10553
Akamai	0.105403
Bertelsmann	0.105388
AMR	0.104927
Checkfree	0.104912
Chevron	0.104655
Genzyme	0.104365
TYCO	0.104308
adobe	0.104294
Pepsico	0.103611
XYLAN	0.103509
eBay	0.103247
Starwood	0.102858
BankAmerica	0.102557
"Global Crossing"	0.10203
"Lycos Inc."	0.102029
"Berkshire Hathaway"	0.10183
"Halliburton Co."	0.101706
Emulex	0.101499
Amazon	0.1011
"Gap Inc."	0.101073
"First Union"	0.100469
Netscape	0.100452
SBC	0.0998403
VoiceStream	0.0992549
Seagate	0.0991708
WorldCom	0.0990829
NORTHROP	0.0988114
Inktomi	0.0987517
Novell	0.0985394
NTL	0.0982721
Sunbeam	0.0979331
"Computer Associates"	0.0979205
Compaq	0.097674
Peapod	0.0976007
REVLON	0.0975273
"CMGI Inc."	0.0975179
Broderbund	0.0972417
Litton	0.0967395
"Boston Scientific"	0.096635
NiSource	0.0965843
ATHOME	0.0964762
"Mattel Inc."	0.0963481
"Learning Co."	0.0963346
"Silicon Graphics"	0.0963302
"Dell Computer"	0.0962473
Amgen	0.0962176
Monsanto	0.0960134
Agilent	0.0959809
TELLABS	0.0958293
"MindSpring Enterprises"	0.0957159
Gillette	0.0957127
RJR	0.09521
Comcast	0.0951737
"Cox Communications"	0.0951565
"America Online Inc."	0.0949273
CCE	0.0949075
Vivendi	0.0948567
"Relevant Knowledge"	0.0944621
"BP Amoco"	0.0943747
"Conde Nast"	0.0943126
"JDS Uniphase"	0.0941969
Gazprom	0.0941693
MarketWatch.com	0.0937512
Kodak	0.0936532
MACROMEDIA	0.0929339
SAirGroup	0.092772
Medtronic	0.0927686
Norwest	0.0921844
"Wells Fargo"	0.0921712
"Reed Elsevier"	0.091688
Bestfoods	0.0916603
"Walt Disney Co."	0.0916392
"Dow Chemical"	0.0916095
Telefonica	0.0915853
SGI	0.0915295
"RJR Nabisco"	0.0914671
ARCO	0.091389
"Time Inc."	0.0913549
AOL	0.0913408
Cendant	0.0911661
SmithKline	0.0906156
Lucent	0.0905185
Penney	0.0903999
"Pacific Century"	0.0903924
AmeriTrade	0.0903158
Totalfina	0.0902962
Exxon	0.0902258
Honeywell	0.0901043
Dell	0.0900262
DrKoop.com	0.0899969
"Charles Schwab"	0.0899695
Scientific-Atlanta	0.0898053
"HBO &AMP; Co."	0.089718
Nabisco	0.0895499
Tandy	0.0895311
Mediaone	0.0895285
"Apple Computer"	0.0893798
Dupont	0.08932
Federated	0.0891337
"U S West"	0.0889798
Primedia	0.0888647
"Weather Channel"	0.0888575
VENATOR	0.0886214
Livent	0.0885305
China.com	0.0882613
"Levi Strauss"	0.088222
Schlumberger	0.0880855
Petrofina	0.0880817
Motorola	0.0880092
RCN	0.0879882
"Thermo Electron"	0.0879596
Intel	0.0879042
"Hearst Corporation"	0.0878975
IBM	0.0875215
Pinkerton	0.0875125
Loral	0.0874784
Enron	0.0873839
"Telecom Italia"	0.0873741
Ge	0.0873613
"Hongkong Telecom"	0.0872773
AutoNation	0.0872654
HP	0.0869331
Pfizer	0.086927
Cablevision	0.0868527
MiniMed	0.0866918
"Wine Institute"	0.0866749
Hewlett-Packard	0.0866098
))
(CNN (desc 56912) (sims
CNBC	0.223
MSNBC	0.219243
ESPN	0.200679
NBC	0.193885
CBs	0.186365
ABC	0.183619
C-Span	0.179252
"ABC News"	0.166711
"Cable News Network"	0.166021
BBC	0.162376
HBO	0.151003
PBS	0.147024
"National Public Radio"	0.147022
"Fox News"	0.146205
MTV	0.144746
"Fox News Channel"	0.141503
"British Broadcasting Corp."	0.138824
"NBC News"	0.138634
Fox	0.131418
Newsweek	0.130036
Nickelodeon	0.129402
TNT	0.128484
network	0.12589
"television network"	0.125391
"CBS News"	0.123095
television	0.122104
"cable network"	0.120362
"Comedy Central"	0.120193
"Associated Press"	0.120008
TNN	0.119651
"Court TV"	0.119625
VH@	0.118606
"USA TODAY"	0.118307
Showtime	0.11785
"Los Angeles Times"	0.116367
"Good Morning America"	0.116363
Reuters	0.11409
"Washington Post"	0.113384
"Channel @"	0.112554
"Wall Street Journal"	0.11221
"television station"	0.112059
channel	0.112041
NTV	0.110888
"Fox Sports"	0.109492
"radio station"	0.106847
"New York Times"	0.105718
TV	0.103151
Univision	0.101601
ESPN@	0.100446
"news program"	0.100198
"Dow Jones Newswires"	0.0983471
"TV network"	0.0975018
"Fox Sports Net"	0.0973173
magazine	0.0971805
"History Channel"	0.0961097
radio	0.095816
Televisa	0.0954637
"Turner Sports"	0.0951651
"TV station"	0.0947238
CNNfn	0.0945194
UPN	0.0943382
NHK	0.0935487
Nightline	0.0914779
WB	0.091084
"Discovery Channel"	0.0909229
"Chicago Tribune"	0.0908281
"Boston Globe"	0.0907343
ORT	0.0907252
"Weather Channel"	0.0896117
Disney	0.0895026
"cable television"	0.0893087
newspaper	0.088215
"television news"	0.0878836
"Dateline NBC"	0.087815
CNN/SI	0.0872186
"Turner Broadcasting"	0.0870855
"Washington Times"	0.0870399
"news show"	0.0852099
Tb	0.0848935
station	0.084824
broadcast	0.0842743
"Pax TV"	0.0837782
"Time Warner"	0.0834101
"Time Inc."	0.0827659
CBC	0.0823523
AOL	0.0804853
"Larry King Live"	0.0801223
"USA Network"	0.0797614
Yahoo	0.0795164
"Bloomberg News"	0.0794559
"Voice of America"	0.0794506
IRNA	0.0793532
"talk show"	0.0788836
"China Central Television"	0.0788418
Times	0.0784796
"Sports Illustrated"	0.077263
NPR	0.0771309
"ABC Sports"	0.0771072
"Dallas Morning News"	0.0766062
"America Online"	0.076371
"Cartoon Network"	0.0763673
Microsoft	0.0757908
"Israel Radio"	0.0757698
"British Broadcasting Corporation"	0.0736482
IBM	0.0734805
"New York Post"	0.0732049
CNET	0.072916
"Food Network"	0.0726694
"Xinhua News Agency"	0.0718242
"Channel @@"	0.0716888
"Warner Brothers"	0.0712739
newscast	0.0710931
globe	0.0709693
cable	0.0701442
news	0.0700508
CCTV	0.0698863
"Arizona Republic"	0.0697831
"Conde Nast"	0.069651
"Financial Times"	0.0693259
media	0.067446
QVC	0.0672885
PAX	0.0660813
"Walt Disney Co."	0.0657321
excite	0.0656038
studio	0.06536
Intel	0.0649787
Netscape	0.0645833
Coca-Cola	0.0645473
Amazon.com	0.064054
"Daily News"	0.0639156
eBay	0.0636884
"Warner Bros."	0.0633674
SportsCenter	0.0630634
e	0.0630224
"TV guide"	0.0626898
AFP	0.0626383
outlet	0.0624451
affiliate	0.0620785
Amazon	0.0620397
"Miami Herald"	0.0619847
"television show"	0.0616354
"Atlanta Journal-Constitution"	0.0612639
"Census Bureau"	0.0611601
"news media"	0.0611409
"Microsoft Corp."	0.061133
chronicle	0.0610219
Newsday	0.0607706
Lycos	0.0606206
MindSpring	0.0605074
"television program"	0.0604454
Boeing	0.0602865
Pentagon	0.05985
Dateline	0.0598092
FBI	0.0595062
universal	0.0593396
"Kansas City Star"	0.0591094
GM	0.0590577
BellSouth	0.0589481
tribune	0.058871
Compaq	0.0588181
Cisco	0.0586473
"wire service"	0.0585937
Xinhua	0.0585127
"Business Week"	0.0583047
Sony	0.0582605
"Night Football"	0.0582169
"Justice Department"	0.058026
WGBH	0.0579817
MP@.com	0.0579214
DirecTV	0.057919
pay-per-view	0.0578907
"Morgan Stanley"	0.0577821
NIKE	0.0575955
agency	0.0575265
Viacom	0.0574511
CIA	0.0573091
Ge	0.0572244
"San Francisco Examiner"	0.0570956
"news service"	0.0570722
DoubleClick	0.0568552
"news agency"	0.0567687
newsmagazine	0.0565304
turner	0.0562324
Hewlett-Packard	0.0562324
Ford	0.0560705
"Energy Department"	0.0559944
Merrill	0.0559497
"San Francisco Chronicle"	0.055807
"Entertainment Weekly"	0.0555681
firm	0.0547869
Dell	0.054736
Bertelsmann	0.0545568
"Ford Motor Co."	0.0544278
SLOC	0.0541495
AP	0.0541004
TheStreet.com	0.0540488
MCI	0.0535361
"Intel Corp."	0.0534073
Aetna	0.0531226
"Merrill Lynch"	0.0531068
))
(CNN.com (desc 1751.9) (sims
Buy.com	0.176298
ETrade	0.155288
Toysrus.com	0.145747
CDnow	0.139176
ABCNews.com	0.13908
ZDNet	0.131432
AmeriTrade	0.128871
ESPN.com	0.126135
E-Trade	0.120015
GO.com	0.106365
Yahoo	0.106287
Priceline.com	0.10475
eToys	0.103145
aol.com	0.102025
eBay	0.0992703
Hotmail	0.0970914
Inktomi	0.091701
"CBS SportsLine"	0.0909291
ATHOME	0.0890217
Netcenter	0.0889345
Priceline	0.0869957
"Charles Schwab"	0.0855284
Schwab	0.085209
Amazon	0.0842568
Barnesandnoble.com	0.0823316
Datek	0.0789538
Broadcast.com	0.0760698
MSNBC.com	0.0749155
"Fox Sports"	0.074539
"Alta Vista"	0.0731219
Reel.com	0.0723336
Webvan	0.0718353
"Microsoft Network"	0.0717483
RealNetworks	0.0704996
CPSC	0.0701293
Lycos	0.0697714
PATHFINDER	0.0696446
"British Foreign Office"	0.0678916
DrKoop.com	0.0676904
"Dell Computer"	0.0666474
CNET	0.0657303
"Wal-Mart Stores"	0.0653809
MSNBC	0.0647426
MSN	0.0642436
CMGI	0.0628825
E-LOAN	0.0626721
"Adobe Systems"	0.0624443
Expedia	0.0619971
Instinet	0.0618114
GeoCities	0.0616456
"Raging Bull"	0.0613508
DoubleClick	0.0607879
"Compaq Computer"	0.0593782
"New York Times Co."	0.059151
TheStreet.com	0.0575122
"Applied Materials"	0.0568764
Checkfree	0.0566341
Monster.com	0.0560696
"Wells Fargo"	0.0560302
Travelocity	0.0545767
iVillage	0.054305
UNAMET	0.0542504
Akamai	0.053819
"Eastman Kodak Co."	0.0536216
snap.com	0.0535861
Salon.com	0.053066
"Liquid Audio"	0.0520868
Unisys	0.0518283
Lexis-Nexis	0.0513266
intranet	0.050882
com	0.0505673
PSC	0.05011
"Go Network"	0.0498675
"Apple Computer"	0.0498673
"Dow Jones &AMP; Co."	0.0497915
"J. Crew"	0.0496998
MindSpring	0.0496628
"Barnes &AMP; Noble"	0.0493962
retrospectives	0.0492494
Drugstore.com	0.0489156
"US State Department"	0.0487698
"Amazon.com Inc."	0.0487308
"Cisco Systems"	0.0486746
"Netscape Communications"	0.0486339
EA	0.0485757
"Internet Service Providers"	0.0484953
"Chase Manhattan Corp."	0.0483972
"CBS Corp."	0.0468674
"Federated Department Stores"	0.0467045
"Yahoo Inc."	0.0465796
"Motion Picture Association of America"	0.0463538
"Continental Airlines"	0.0461176
Intuit	0.0454146
"JDS Uniphase"	0.0452621
Federated	0.0449846
"Ask Jeeves"	0.0448133
GPU	0.0445821
"Motorola Inc."	0.0445345
"Gap Inc."	0.0443346
"American Express"	0.0442816
ExciteAtHome	0.0441852
"Advanced Micro"	0.0441619
"Dresdner Bank"	0.0441556
"Wireless HKT"	0.0438869
"Fidelity Investments"	0.0438811
"Kenya Airways"	0.0438808
"Oracle Corp."	0.0437052
AltaVista	0.0434659
tripod	0.0431568
theglobe.com	0.0430244
nytimes.com	0.0430229
"Miller Park"	0.0429652
quirkiness	0.0429176
"Consolidated Edison"	0.0428955
"Sky Harbor"	0.0426927
"Wal-Mart Stores Inc."	0.0424533
Qualcomm	0.0422451
"MindSpring Enterprises"	0.0421321
"Knight Ridder"	0.041509
WSB	0.0413554
Gymboree	0.0410977
"TV guide"	0.0410257
"Intel Corp."	0.0407299
shareware	0.04037
"News Corp."	0.0403007
SSB	0.0402582
NCEC	0.0402425
Scientific-Atlanta	0.0401998
CBK	0.0401696
"U.S. Postal Service"	0.0400119
))
(CNN/SI (desc 1461.02) (sims
"CBS SportsLine"	0.189339
ABCNews.com	0.136645
ESPN.com	0.113955
"Dateline NBC"	0.112735
"Turner Classic Movies"	0.104116
"Fox News Channel"	0.103953
TNN	0.101576
"Fox Sports"	0.100245
ESPN	0.0996198
"Disney Channel"	0.0932141
SSB	0.0930717
CBC	0.0927901
"British Broadcasting Corp."	0.090404
"Sporting News"	0.0887582
"ABC News"	0.087589
C-Span	0.0873504
"Los Angeles Times"	0.086536
"Fox Sports News"	0.0845667
"USA TODAY"	0.0825784
"Entertainment Tonight"	0.0816728
CBS-TV	0.0803808
"Fox News"	0.0788062
"TV guide"	0.0770047
"Orange County Register"	0.07682
BBC	0.0757011
"United Press International"	0.075536
"Boston Herald"	0.0748975
CNNfn	0.0748649
"Cartoon Network"	0.0728256
"CBS News"	0.0727428
"El Pais"	0.0727026
"Court TV"	0.0723002
"NBC News"	0.072262
JetBlue	0.0711807
MSNBC	0.069645
"Turner Sports"	0.069573
Post-Intelligencer	0.0675151
CNET	0.0650852
"Chicago Tribune"	0.0650673
Ebert	0.0650441
"Miami Herald"	0.0650397
"Entertainment Weekly"	0.0650087
"Detroit Free Press"	0.064986
CNBC	0.0647556
Izvestia	0.0640609
Newsweek	0.0638777
hedgehog	0.0638158
"Golf Channel"	0.0636185
"Washington Post"	0.0634878
ABC-TV	0.0633478
Forrester	0.0632133
"National Thoroughbred Racing Association"	0.0630972
"Business Times"	0.0630853
"Cable News Network"	0.0622072
"Voter News Service"	0.0621438
"Weather Channel"	0.0619361
newsmagazine	0.061853
"Yomiuri Shimbun"	0.0612546
Spiegel	0.0610764
TNT	0.0608197
ICM	0.0602305
"New York Post"	0.0600943
Newsday	0.0595211
NTRA	0.0593754
"USA Network"	0.0593459
Caddell	0.0592639
"National Journal"	0.0592165
SMG	0.0591184
UPI	0.058974
"Truth Commission"	0.0584382
VH@	0.0581696
TDB	0.0580223
"Arizona Republic"	0.0570293
"ABC Sports"	0.0568442
"Chicago Sun-Times"	0.0559458
lastest	0.0556114
"Free Press"	0.0555749
"Sports Illustrated"	0.0554945
tailwind	0.0553716
"Teen People"	0.0551266
"Turner Broadcasting"	0.0548734
"National Public Radio"	0.0548689
Lehrer	0.0548443
"History Channel"	0.0545947
UPN	0.0540156
"Larry King"	0.053971
"Detroit News"	0.0539127
Hambrecht	0.053253
DNR	0.0531768
"Los Angeles Daily News"	0.0529011
"Fox TV"	0.0526663
"Rolling Stone"	0.0521254
"Warner Brothers"	0.0520132
"Voice of America"	0.0520126
"Houston Chronicle"	0.0518966
"Denver Post"	0.0511426
Luethke	0.0509899
TCM	0.0506802
"wire service"	0.0505655
prudential	0.0504242
"Levi Strauss &AMP; Co."	0.050327
"Sears, Roebuck &AMP; Co."	0.0502415
"Real Networks"	0.0502369
"U.S. Census Bureau"	0.0500531
"Bill Moyers"	0.0500097
Nickelodeon	0.0499921
Anand	0.0499767
Mademoiselle	0.0499168
"Cox Communications"	0.0497747
"New Straits Times"	0.0497562
"Der Spiegel"	0.0493847
"Kansas City Star"	0.0491016
E-Trade	0.048664
"Straits Times"	0.0486454
IDG	0.0485215
"Education Department"	0.0484267
Instinet	0.0483206
Maariv	0.0483143
APA	0.048312
"Social Security Administration"	0.048094
"Pax TV"	0.047979
APTN	0.0475955
Edelman	0.0475139
"Bloomberg News"	0.0474213
ISTAT	0.0471025
RCN	0.0469877
Difrancesco	0.0469868
Zogby	0.0468166
"Sky TV"	0.0466903
GQ	0.0466739
Nightline	0.0466426
Tat	0.0466282
ANGELOS	0.0465116
"Paul Taylor"	0.0465047
"U.S. Agriculture Department"	0.0464205
"BellSouth Corp."	0.0461759
CIRC	0.0460975
"U.S. News"	0.046053
DOJ	0.0460362
"Health and Welfare Ministry"	0.0459823
EOHR	0.0459386
CNPC	0.0457716
Asahi	0.0457323
"Comedy Central"	0.045694
"Commerce Ministry"	0.0456817
"Defense Agency"	0.0454012
WebMD	0.0453358
Britannica	0.0451251
ATA	0.0450087
ESPN@	0.0448178
hourlong	0.0446852
HHS	0.0443789
"Nihon Keizai Shimbun"	0.0443536
Alarcon	0.0442814
"Seattle Times"	0.0442608
"Agence France Presse"	0.044224
Webcast	0.0441973
"Des Moines Register"	0.0439341
NHTSA	0.0437807
"Asahi Shimbun"	0.0437292
"ING Barings"	0.0435197
Esquire	0.0434487
"Discovery Channel"	0.0432905
Gartner	0.0431764
Primedia	0.0429251
Koskinen	0.0428958
Gallup	0.0427683
Cablevision	0.04256
"British Broadcasting Corporation"	0.0423801
FPL	0.0422746
Televisa	0.0421555
"National Geographic"	0.0420743
BNFL	0.0420716
Dar	0.0420168
Rothenberg	0.0420122
Opel	0.0420072
"New York Daily News"	0.0419546
"Nihon Keizai"	0.0417112
Omnipoint	0.0417014
AGL	0.0416828
Notimex	0.0415895
Lockyer	0.0415199
"John Prescott"	0.0414046
NHK	0.0413937
"Barbara Walters"	0.041384
MII	0.0413553
Scalfaro	0.0413174
Zhirinovsky	0.0413061
"print media"	0.0412518
Star-Ledger	0.0411934
RCMP	0.0411162
API	0.0411013
RSS	0.0410098
"Financial Times"	0.0409957
Clements	0.040912
Enquirer	0.0407288
"Human Rights Watch"	0.0406138
Waigel	0.0405583
CCTV	0.0404991
"World Report"	0.040489
))
(CNNfn (desc 2319.21) (sims
"Fox News Channel"	0.189715
C-Span	0.152706
MSNBC	0.152537
CNBC	0.144485
"Fox News"	0.140341
TNT	0.130232
ESPN	0.10948
VH@	0.104435
"NBC News"	0.103625
"Time Inc."	0.0994716
TNN	0.0978199
"Turner Sports"	0.0960808
CNN	0.0945194
Nickelodeon	0.0931719
WMUR-TV	0.089009
"ABC Sports"	0.0870311
"Cartoon Network"	0.0868746
"National Abortion and Reproductive Rights Action League"	0.0861903
"Discovery Channel"	0.0856127
"CBS SportsLine"	0.0849627
DoubleClick	0.0841703
HBO	0.0830055
IDG	0.0827219
iTV	0.080705
"Medical Society"	0.080348
"Disney Channel"	0.0802636
"Weather Channel"	0.0798357
"Turner Broadcasting"	0.078719
"Fox Sports Net"	0.0773004
Univision	0.0749196
CNN/SI	0.0748649
CNET	0.0742169
Televisa	0.0741643
"Bloomberg News"	0.0724456
ZDNet	0.0722136
CPAFFC	0.0713112
SDB	0.0712111
Travelocity	0.0711579
Tb	0.0705724
MTV	0.0705712
iVillage	0.0695517
"CBS Sports"	0.0692239
MarketWatch.com	0.069184
"Knight Ridder"	0.0688126
Lycos	0.0686394
MLB	0.0670743
WebMD	0.0666916
"National Public Radio"	0.066468
RCN	0.0662398
"Microsoft Network"	0.0660185
ZDTV	0.0657857
"USA TODAY"	0.0654806
Netcenter	0.0654553
"ABC News"	0.0654212
"Cable News Network"	0.0652535
ABS-CBN	0.0649112
"U.S. Chamber of Commerce"	0.0648968
"Securities Industry Association"	0.0648516
ABCNews.com	0.0640495
MPAA	0.0639491
"Fox Sports"	0.0638787
ITC	0.0634778
Telemundo	0.0632842
"American Enterprise Institute"	0.0632129
NTV	0.0631376
VH-@	0.0630435
Showtime	0.0623399
Bridgestone/Firestone	0.062065
"Association for Relations Across"	0.0619169
"Pax TV"	0.0618559
RealNetworks	0.0618274
"CBS News"	0.0617834
"Chinese Olympic Committee"	0.0615912
Instinet	0.0614049
"Cox Communications"	0.0611824
"Comedy Central"	0.061117
"Wine Institute"	0.0609868
"U.S. Soccer Federation"	0.0609574
"Entertainment Weekly"	0.0603819
Intuit	0.0601392
"Mitsubishi Motors"	0.0600106
"Court TV"	0.0599184
CitySearch	0.0598272
WB	0.0588054
"Dow Jones Newswires"	0.058769
"Animal Planet"	0.0586249
"Gap Inc."	0.0585976
"Canal Plus"	0.0585443
"Australian Olympic Committee"	0.0584758
Bloomberg	0.0584137
"Times Mirror Co."	0.0581025
"Olympic Council of Asia"	0.0580768
Biogen	0.0580182
PAX	0.0572532
Publicis	0.05717
"New York Times Co."	0.0570516
"Warner Brothers"	0.0557871
Arnett	0.055678
"Southern Co."	0.0555642
"Ask Jeeves"	0.0553134
"National Association of Broadcasters"	0.0550801
Federated	0.0549713
"Warner Bros"	0.0549474
CMA	0.0548882
E-Trade	0.0547096
"Communications Workers of America"	0.0546343
"Chase Manhattan Bank"	0.0544307
"National Organization"	0.0542794
"Nashville Network"	0.0536919
ARATS	0.0535782
"United Way"	0.0533483
"Turner Classic Movies"	0.0533358
"Con Ed"	0.0532678
"Go Network"	0.052955
BOC	0.0528955
UPN	0.052873
NTL	0.0527089
"Main Events"	0.052609
"Walt Disney Co."	0.0525013
WPP	0.0523709
"Motion Picture Association of America"	0.0522579
"Common Cause"	0.0520281
"Black Entertainment Television"	0.0519542
"cable network"	0.0518938
"Labor office"	0.0518305
"American Bankers Association"	0.0517018
SCLC	0.0513699
newsmagazine	0.0509535
"news show"	0.0506173
"Sports Illustrated"	0.0505855
"Liberty Media"	0.0505382
"Urban League"	0.0504646
Clare	0.0504178
"Miramax Films"	0.0503713
"Voice of America"	0.0501611
"Thai Farmers Bank"	0.0500873
"Koch Industries"	0.0497709
"Hearst Magazines"	0.0496669
FX	0.0494909
"Visa International"	0.0491886
Bridgestone	0.0489115
"Janata Dal"	0.0488118
"Time Warner Inc."	0.0487292
"American Petroleum Institute"	0.0483191
"Nihon Keizai Shimbun"	0.0481601
"Lycos Inc."	0.0481553
"Maria Shriver"	0.047905
"Association of Flight Attendants"	0.0476972
Quokka	0.0474033
QVC	0.0472012
EMC	0.0466583
ICBC	0.0466036
"Asahi Shimbun"	0.0464992
ExciteAtHome	0.0464888
Caldor	0.0460238
Itogi	0.0459952
MSNBC.com	0.0459675
"Food Network"	0.0458922
"Gannett Co."	0.0458638
"EMC Corp."	0.0458577
"machinists union"	0.0454209
"Stride Rite"	0.0453937
CCPIT	0.0453186
CompUSA	0.0451977
"National Alliance"	0.0451528
MSN	0.0448555
TheStreet.com	0.044665
Gnutella	0.0445698
"Thai Airways International"	0.0445026
Autodesk	0.0444858
"Handgun Control"	0.0444182
AGL	0.0443043
"Cisco Systems Inc."	0.0440828
PBA	0.0438555
STARMEDIA	0.0438452
"Charles Schwab Corp."	0.0438325
"National Trust"	0.0438101
AltaVista	0.0437857
Juno	0.0436316
SAirGroup	0.0435774
Nortel	0.043549
"Good Morning America"	0.0433902
NHK	0.043355
Monster.com	0.0432659
"Channel @@"	0.0432354
newsmagazines	0.043219
"Sprint PCS"	0.0431646
MP@.com	0.0431376
Scientific-Atlanta	0.0431106
"Salt Lake Organizing Committee"	0.0431009
"road runner"	0.0430945
EarthLink	0.0430795
"British Broadcasting Corp."	0.0429479
"Toyota Motor Corp."	0.0429311
"Kraft Foods"	0.0428569
"Tribune Co."	0.0427972
COSCO	0.0427631
PICC	0.0427336
Associates	0.0426228
"Legend Group"	0.0426222
))
(CNOOC (desc 1432.69) (sims
CNPC	0.329924
Sinopec	0.186635
CPAFFC	0.179616
CITIC	0.171274
ICBC	0.162582
IAI	0.158242
"U.S. Soccer Federation"	0.154622
ACWF	0.15397
"China National Petroleum Corporation"	0.150861
CCB	0.1484
CIRC	0.144202
CCPIT	0.137382
CASS	0.135457
CMA	0.134224
BOC	0.131763
ACFTU	0.131595
"Ford Motor Company"	0.131021
COSCO	0.130324
CFA	0.125674
OCA	0.125212
"Chinese Olympic Committee"	0.124648
CCF	0.124046
PICC	0.121718
SPC	0.120797
"Defense Agency"	0.120561
"Russian Defense Ministry"	0.119478
CDB	0.118381
CSC	0.118114
CNTA	0.117954
"ABC Sports"	0.117332
SDB	0.113584
CSE	0.113244
Pertamina	0.112956
CSX	0.112517
AOC	0.111812
PETROBRAS	0.111716
ARATS	0.111352
EBRD	0.110547
YankeeNets	0.109812
ENTREMED	0.109265
"Australian Olympic Committee"	0.109151
Qinghua	0.108395
MII	0.105433
SSE	0.104442
JAL	0.10441
SDPC	0.103025
CAS	0.10293
IMS	0.102822
"Industry Ministry"	0.101859
"EU Commission"	0.100954
Eximbank	0.10088
CCE	0.0996091
"Home Ministry"	0.0995709
CPF	0.098853
"CBS Sports"	0.0982869
UFW	0.0976758
"Public Security Ministry"	0.0976293
"Transport Ministry"	0.0970341
BP	0.0967624
"Thai Farmers Bank"	0.0952215
"Israeli Foreign Ministry"	0.0943194
ABSA	0.0937486
ARCO	0.093601
"Ministry of Forestry"	0.0935742
PSE	0.093508
Yukos	0.0933154
"Hyundai Group"	0.0932119
"Air Lanka"	0.0927413
Mei	0.0923245
MACROMEDIA	0.0920405
SFC	0.09187
"Gulf Air"	0.0914778
BSA	0.0914754
PBC	0.0912385
SSB	0.0911348
NORTHROP	0.0909485
CWA	0.0908387
"All-China Youth Federation"	0.0893962
"Boston Scientific"	0.0893155
UCI	0.0890827
"Turner Sports"	0.0889492
WEF	0.088845
PDVSA	0.0888281
Conoco	0.0887372
"Industrial Bank of Japan"	0.0884049
NARAL	0.0883789
Aeroflot	0.0883464
SCLC	0.0882947
"Air China"	0.0880597
Texaco	0.0879711
AIG	0.0878207
"Culture Ministry"	0.0877811
"Enron Corp."	0.0876399
"International Skating Union"	0.0876236
"Commerce Ministry"	0.0872681
SFA	0.0869894
"British Foreign Office"	0.086984
CAAC	0.0866848
"J&AMP;J"	0.0861037
Cargill	0.0860911
ITTF	0.0858945
UTC	0.0858257
"GE Capital"	0.0857598
"U.S. Golf Association"	0.0854834
CAF	0.0850936
CCA	0.0846185
"All-China Journalists Association"	0.0845913
"Con Ed"	0.0845108
Eni	0.0844779
Haier	0.0844086
"Singapore Airlines"	0.0842895
PTT	0.0842548
HKTA	0.0842424
UNIDO	0.0842312
PBOC	0.0839811
CBK	0.0839058
"China Unicom"	0.0834625
VENATOR	0.0833263
"Agriculture Ministry"	0.0832937
CSA	0.0828256
"China Telecom"	0.0827163
SETC	0.0824494
"Organizing Committee"	0.0823723
"National Grid"	0.0821919
"Local @@"	0.0820554
Starwood	0.0819556
ZCTU	0.0819429
Loewen	0.0818238
CAA	0.0818048
BNFL	0.081752
"Urban League"	0.0814351
"Toyota Motor Corp."	0.0809169
teamster	0.0808978
"Thai Commerce Ministry"	0.0803359
"Wine Institute"	0.0802583
CBI	0.0801918
Hewlett	0.0801848
"British Petroleum"	0.0801745
Sepracor	0.0800588
Fiat	0.0799146
HKMA	0.0798405
"Thai Foreign Ministry"	0.0797547
ENTERGY	0.0795621
Unicom	0.0793693
Genzyme	0.0790121
Konka	0.0789959
"Siemens AG"	0.0788836
"China Eastern Airlines"	0.0784311
TDB	0.0783862
"Thermo Electron"	0.078315
"De Beers"	0.0780887
"auto company"	0.0780277
BOI	0.0778918
FIA	0.07789
"Visa International"	0.0777385
Sanyo	0.0776775
Motorola	0.0776237
MetLife	0.0776032
"News Corp."	0.0773207
"Sony Corp."	0.0772053
SPP	0.0771809
Citibank	0.0768688
"fire brigade"	0.0766855
FIVB	0.076545
UNIP	0.0764109
EA	0.0763879
Nortel	0.0762362
"Olympic Council of Asia"	0.075855
"Education Ministry"	0.075637
"Lockheed Martin"	0.0756265
UC	0.0755786
UUP	0.0755472
EC	0.0753954
DLC	0.0753346
Cp	0.0752093
"NBC News"	0.0751686
MOFTEC	0.075053
NCR	0.0749294
Exxon	0.0748386
GPU	0.0746946
"Niagara Mohawk"	0.0745312
"Union Carbide"	0.0744466
"United Technologies"	0.0744212
RJR	0.0743284
"Labor Ministry"	0.0742389
"Association of Flight Attendants"	0.0739845
Enron	0.0739136
"Universal Music Group"	0.0737194
"US State Department"	0.0736229
"Salt Lake Organizing Committee"	0.0735447
UNAMET	0.0735359
"National Trust"	0.0735339
Sumitomo	0.0735249
THA	0.0735179
Ericsson	0.0733177
Lukoil	0.0733017
"China Council"	0.0730144
Esso	0.07296
Nepa	0.0727512
"International Cycling Union"	0.0725925
))
(CNPC (desc 1682.82) (sims
CNOOC	0.329924
Sinopec	0.167806
CPAFFC	0.16363
"China National Petroleum Corporation"	0.161215
IAI	0.152931
CFA	0.146846
BOC	0.14159
ICBC	0.133188
CCB	0.130365
COSCO	0.129521
CITIC	0.127939
PICC	0.11977
ACWF	0.119314
CCF	0.118909
CIRC	0.118732
CASS	0.118613
CSC	0.116116
SDB	0.110725
CMA	0.110153
JMC	0.109238
"Industry Ministry"	0.107308
"EU Commission"	0.106823
CAS	0.106739
"ABC Sports"	0.105396
MII	0.105361
HKFA	0.105256
CCPIT	0.104665
CNTA	0.103652
SPC	0.103297
IMS	0.103276
CSE	0.102538
ARATS	0.0998219
Eximbank	0.099793
"U.S. Soccer Federation"	0.0991774
Mei	0.0985526
EBRD	0.0968593
OCA	0.0959868
"Air Lanka"	0.0957477
Comelec	0.0955752
"Australian Olympic Committee"	0.0954838
"CBS Sports"	0.0953438
"Chinese Olympic Committee"	0.0947524
Qinghua	0.0935787
PDVSA	0.0920297
"Russian Defense Ministry"	0.0914092
Genzyme	0.09004
BOI	0.0898447
CDB	0.0898322
NARAL	0.0895202
Yukos	0.0892919
JAL	0.0890427
UNIDO	0.0889263
SFA	0.0885721
ENTREMED	0.0885098
ACFTU	0.0883561
"Turner Sports"	0.0879548
TDC	0.0878669
SFC	0.0878375
ITTF	0.087351
PETROBRAS	0.0866797
TDB	0.085704
CAF	0.0846289
SDPC	0.0842122
CSX	0.0839599
CWA	0.083941
NCR	0.0837363
Petronas	0.0835697
DLC	0.0828511
"Thai Commerce Ministry"	0.0828404
UMNO	0.082382
CCA	0.0822672
"Agriculture Ministry"	0.0819546
ENTERGY	0.0815375
Nomura	0.0814532
"U.S. Golf Association"	0.0807631
"Shanghai Branch"	0.0806312
CBC	0.0804952
Paxson	0.0793
"Ford Motor Company"	0.078919
EC	0.0787754
"Thermo Electron"	0.0777525
SSE	0.0777294
UCI	0.0775187
DSE	0.0773068
"NTT DoCoMo"	0.077207
AOC	0.0771879
IBRA	0.0771553
UTC	0.0770109
PLN	0.0767199
INEC	0.0765602
PTT	0.0764226
"Wine Institute"	0.0763458
ADB	0.0761722
"Hongkong Telecom"	0.0758455
Instinet	0.0757269
"Con Ed"	0.0750349
"Medical Society"	0.0748787
"Local @@"	0.0747466
Cp	0.0744033
BNFL	0.0742945
"Defense Agency"	0.0741717
Pertamina	0.0737288
"American Association of Health Plans"	0.0736235
PBC	0.0735941
"China Telecom"	0.0733484
"Thai Farmers Bank"	0.0733124
BIA	0.0732808
Starwood	0.0728073
"Transport Ministry"	0.0726832
IEC	0.0725545
SMI	0.0723942
IU	0.0722591
Gazprom	0.0719543
ITT	0.0719273
"Pitney Bowes"	0.0719115
IGC	0.071747
MSF	0.0714793
USTA	0.0714395
WEF	0.0714298
BSA	0.0712771
"ELF AQUITAINE"	0.0709024
AmCham	0.0706179
CBI	0.0703456
"Association of Flight Attendants"	0.0703003
ExciteAtHome	0.0702375
"Visa International"	0.0701108
SCLC	0.0700618
PSE	0.0700302
"Labor office"	0.0700156
"Port Authority"	0.0694731
Alltel	0.0693978
"P&AMP;G"	0.0693048
FIVB	0.0693011
SSB	0.0692036
"Salt Lake Organizing Committee"	0.0691918
UNIP	0.0689023
"Industrial Bank of Japan"	0.0687052
Enron	0.0685226
USEC	0.0684468
Biman	0.0684035
"Truth Commission"	0.0683886
"International Badminton Federation"	0.0683348
"Hearst Corp."	0.0683086
ICI	0.0679966
ZCCM	0.0679492
Sanyo	0.0677636
iXL	0.0677394
NEC	0.0676484
Amway	0.0675512
BP	0.0675263
MACROMEDIA	0.067333
UC	0.0672552
Dragonair	0.0672452
"British Foreign Office"	0.0671659
"Air China"	0.0671151
"Health and Welfare Ministry"	0.0670988
LDP	0.0669561
PETA	0.0669273
"U. N."	0.0667062
"Andean Group"	0.066659
SMIs	0.0666561
Ivorian	0.0665156
"Home Ministry"	0.0665044
"Board of Trade"	0.0662377
Cathay	0.0661791
COSATU	0.0660287
"business unit"	0.0657865
AIG	0.0657524
UUP	0.065647
Wada	0.0652315
"Reserve Bank of India"	0.0651378
LIFFE	0.0650161
"Commerce Ministry"	0.064973
"Congress Party"	0.0646778
Pirelli	0.0644925
Kiribati	0.064432
"Education Ministry"	0.0643186
CAA	0.0642879
CAAC	0.0642831
IAAF	0.0642155
ICA	0.0640505
Google	0.0639357
PBSI	0.0638234
"National Trust"	0.0637639
"personnel department"	0.0637199
"J&AMP;J"	0.0636623
"Y&AMP;R"	0.0636416
Delphi	0.0636254
Exxon	0.0634218
EMC	0.0633406
"fire brigade"	0.0633328
Celera	0.0631761
"U.S. Chamber of Commerce"	0.0630677
"Georgia Power"	0.0630442
CPP	0.0629517
Cargill	0.0629504
"United Auto Workers"	0.0628714
"International Skating Union"	0.0628366
"Tampa Bay Lightning"	0.0627173
NTSB	0.0627105
))
(CNTA (desc 893.573) (sims
CIRC	0.241208
"Health and Welfare Ministry"	0.18819
"China National Tourism Administration"	0.18266
"Israeli Foreign Ministry"	0.170905
SDPC	0.170024
CSRC	0.164147
CMC	0.161002
"Defense Agency"	0.154486
SETC	0.152337
"House Budget Committee"	0.151493
TDB	0.150274
"National Tourism Administration"	0.149583
MII	0.149026
"Agriculture Ministry"	0.144436
KONI	0.142687
CAAC	0.140604
SEPA	0.140218
"Transport Ministry"	0.138604
CCPIT	0.136344
"Industry Ministry"	0.135771
SSB	0.134945
"National Economic Council"	0.130802
"State Bureau of Cultural Relics"	0.13051
"State Administration of Taxation"	0.12839
"State Administration of Cultural Heritage"	0.128387
"Russian Space Agency"	0.127829
"Thai Foreign Ministry"	0.127509
IEC	0.124751
"Nuclear Regulatory Commission"	0.124166
"Justice Ministry"	0.123797
"Airport Authority"	0.121861
WIPO	0.119742
"Health Ministry"	0.119608
CCF	0.119105
DSE	0.118668
CNOOC	0.117954
"Thai Commerce Ministry"	0.116017
SFC	0.115428
SPDC	0.115021
"U.S. Immigration and Naturalization Service"	0.114736
HKTA	0.114723
"Pacific Exchange"	0.113975
KPA	0.11252
"Ministry of Forestry"	0.11204
Tat	0.111847
ARATS	0.111447
"Ethics Commission"	0.110748
CBI	0.110003
"Ministry of Railways"	0.109638
"Civil Aviation Administration of China"	0.109304
MOFTEC	0.107779
"State Family Planning Commission"	0.106911
"Russian Interior Ministry"	0.10682
"Department of Public Health"	0.106804
PBSI	0.106627
"Tourism Authority of Thailand"	0.10554
"State Development Planning Commission"	0.104994
Nepa	0.104143
"Russian Defense Ministry"	0.104056
CNPC	0.103652
ILO	0.1034
"Health Department"	0.102978
"planning commission"	0.102806
"Commerce Ministry"	0.102677
"Atomic Energy Commission"	0.101115
UNESCO	0.100879
ACFTU	0.100844
"Labor Ministry"	0.100724
"Ways and Means Committee"	0.100555
"Public Security Ministry"	0.099489
IEA	0.0994845
"Senate Budget Committee"	0.0994761
"Ministry of Construction"	0.0984393
"Transportation Department"	0.0981703
"Rules Committee"	0.0981102
"Department of Public Safety"	0.0978198
"Home Ministry"	0.0968031
ADL	0.0967447
SDB	0.0959669
CFA	0.0958303
FAO	0.0955305
ACWF	0.0945384
PSC	0.094458
BOI	0.0943811
"Xinhua News Agency Hong Kong Branch"	0.0943517
"Senate Appropriations Committee"	0.0938887
CCM	0.0937255
"Port Authority"	0.0936966
"Hong Kong Tourist Association"	0.0934079
"Political Department"	0.0929427
"Ford Motor Company"	0.0928907
"State Economic and Trade Commission"	0.0925592
HHS	0.0923269
"United Nations Industrial Development Organization"	0.092277
"General Administration of Customs"	0.0922388
"State Environmental Protection Administration"	0.0920383
"House International Relations Committee"	0.0920348
"Ministry of Agriculture"	0.0919964
CEC	0.0916145
Sinopec	0.0914627
ITU	0.0911854
CSA	0.0911231
AmCham	0.0909365
DEP	0.0907675
"Chinese NPC"	0.0905824
Comelec	0.0904972
NRM	0.0904959
"Development Research Center"	0.0904849
"Vietnam Airlines"	0.0903062
ECA	0.0900777
"State Planning Commission"	0.089583
SEF	0.0895577
SSE	0.0892951
"United Nations Educational, Scientific and Cultural Organization"	0.0890689
Mei	0.0888032
PBOC	0.0874525
"Ministry of Civil Affairs"	0.0873434
"World Intellectual Property Organization"	0.0870621
"National Transportation Safety Board"	0.0865704
"National Republican Congressional Committee"	0.0862512
"Civil Aviation"	0.0861404
"General Logistics Department"	0.0861064
CSC	0.0858066
Totalfina	0.0855182
"NPC Standing Committee"	0.0854171
CCA	0.0854108
NLD	0.0854028
"Fish and Wildlife Service"	0.0849084
"Department of Environment"	0.0846709
CSE	0.0846414
"Ministry of Education"	0.0845694
EC	0.0843859
F.A	0.0833755
SMI	0.0833038
OCA	0.0832807
"Ministry of Health"	0.0832589
"Islamic Development Bank"	0.0832023
DAP	0.0829588
SPC	0.0829261
"House Ways and Means Committee"	0.0826421
"House Appropriations Committee"	0.0825865
HCFA	0.0823699
SPP	0.0823421
"U.S. Administration"	0.0819713
"U.S. Army Corps of Engineers"	0.0818579
"economics department"	0.0816546
PSE	0.0815036
"Department of Corrections"	0.0815
"Central Election Commission"	0.0814184
"municipal government"	0.0812776
TDC	0.0812643
"Ministry of Personnel"	0.0810357
"Finance Ministry"	0.0810023
"State Education Commission"	0.0808706
"U.S. Census Bureau"	0.080764
NSC	0.0805975
RNC	0.0805066
CPSC	0.0802659
PICC	0.0797879
"Park Service"	0.07978
CAS	0.0796863
"National Marine Fisheries Service"	0.0796123
"State Council"	0.0795079
"Agriculture Department"	0.0791511
"Education Department"	0.0790924
"Department of Trade and Industry"	0.0790345
"China National Petroleum Corporation"	0.0789434
USDA	0.0786753
"National Defense Commission"	0.0786493
"Civil Aviation Authority"	0.0785368
"Banking Committee"	0.0785281
"U.S. Agriculture Department"	0.0775934
Sami	0.0774014
NTSB	0.0772765
"Housing Authority"	0.0771651
UNIDO	0.0771078
"Public Service Commission"	0.077099
"State Statistical Bureau"	0.0770652
MetLife	0.07702
ENTREMED	0.0769504
NRC	0.0767673
Histadrut	0.0767399
CMAG	0.0766147
JMC	0.0765364
ISTAT	0.076492
"Senate Governmental Affairs Committee"	0.0763033
"Board of Investment"	0.0762889
"NEC Corp."	0.0762673
"Treasury Department"	0.0760801
"Air Lanka"	0.0757326
Ivorian	0.0755831
UNDCP	0.0754953
"Department of Agriculture"	0.0754783
"Immigration Department"	0.0753961
AHA	0.0753388
MCC	0.0750755
"Culture Ministry"	0.0750686
"civil defense"	0.075054
"Congress Standing Committee"	0.0749791
"EU Commission"	0.0745874
))
(co (desc 10300.2) (sims
co-premier	0.092739
co-owner	0.079494
"chairman emeritus"	0.0732139
"general manager"	0.0714312
CEO	0.0702428
"chief executive officer"	0.068838
"chairman of the board"	0.067926
co-chairman	0.0673178
"chief operating officer"	0.0627436
"vice chairman"	0.0614425
"managing director"	0.0602037
treasurer	0.0600703
"general secretary"	0.0595686
"chief financial officer"	0.0592161
editor-in-chief	0.0582219
co-president	0.0580622
"executive vice president"	0.0579754
"senior vice president"	0.0577264
"Hun Sen"	0.0576192
co-leaders	0.0570053
"board member"	0.0560387
"commander in chief"	0.0552415
"finance minister"	0.0546974
Spalding	0.0545013
trustee	0.0537039
Archbishop	0.052519
superintendent	0.0518927
"chief justice"	0.0515885
director-general	0.0515591
"talent agent"	0.0505162
Hun	0.0502781
"Norodom Ranariddh"	0.0494996
"cabinet minister"	0.0492249
chairmen	0.0490629
Chancellor	0.0490582
"deputy chairman"	0.0489605
cellmate	0.0488584
executor	0.0486574
Wamba	0.0484684
"secretary of state"	0.0482441
"top executive"	0.0478303
co-captain	0.0474289
co-manager	0.0473681
co-leader	0.0469634
chairwoman	0.0466116
dean	0.0460469
"executive director"	0.0457794
"line coach"	0.0455254
Councilman	0.0452688
promoter	0.0451338
Admiral	0.0448973
Ex	0.044788
"crown prince"	0.0445801
CFO	0.0442136
co-owners	0.0436572
"Benazir Bhutto"	0.0436434
Lieutenant	0.0434734
"football coach"	0.0434239
"P.V Narasimha Rao"	0.0433151
"head of state"	0.0432913
"music director"	0.0432077
co-chairmen	0.0431168
sultan	0.0429048
"Prime Minister"	0.0428641
"H.D Deve Gowda"	0.0427492
co-director	0.0426918
"baseball coach"	0.0423973
"Roy Romer"	0.0422749
"Lamar Smith"	0.0421687
"Sam Rainsy"	0.0420113
assemblyman	0.0417205
"pitching coach"	0.0412562
vice	0.0412224
"surgeon general"	0.0411895
"Secretary of Defense"	0.0411731
"Abdul Salam Majali"	0.0411512
"chief of staff"	0.0410887
cofounder	0.0410462
Colonel	0.0409123
"Darryl Hamilton"	0.0408264
"Vaclav Klaus"	0.0404647
"naval officer"	0.0403074
Maurice	0.0401813
emir	0.04016
))
("co- operation" (desc 1812.75) (sims
"business relation"	0.151165
interdependence	0.10443
"mutual understanding"	0.100671
interoperability	0.0974299
linkage	0.0932072
consulations	0.0873992
macro-control	0.0859276
complementarity	0.0856328
"political relation"	0.0848675
"personal relation"	0.083107
good-neighborliness	0.0830662
"Free Trade Agreement"	0.0821675
exigency	0.07892
centralization	0.0769661
"trade relation"	0.0766557
opening-up	0.0751389
dialog	0.0748039
confidence-building	0.0746555
good-neighborly	0.0732038
joint-ventures	0.0695254
self-reliance	0.0691622
detente	0.0667811
"commercial activity"	0.0663938
crosscurrent	0.0648974
"free trade"	0.0633333
liberalisation	0.0631746
"trade area"	0.0624069
"sphere of influence"	0.0623039
"vocational education"	0.0620426
"communication network"	0.0619652
"missionary work"	0.0614424
"urban planning"	0.060845
industrialization	0.0605872
compatibility	0.0602631
diversification	0.0602471
Amity	0.0597437
"trade agreement"	0.0595316
cohesion	0.0595268
neighborliness	0.0595179
"line of products"	0.0594825
interrelationship	0.0593535
networking	0.0591337
parley	0.0577473
self-discipline	0.0574417
harmonization	0.0574223
"growth prospect"	0.0574088
emancipation	0.0572551
cohesiveness	0.057236
decentralization	0.0571825
"educational activity"	0.0570197
alleviation	0.0568552
synergy	0.0563646
upgrading	0.0563596
readjustment	0.055906
regionalization	0.0556495
"memorandum of understanding"	0.0551929
"vocational training"	0.0548709
enumeration	0.054603
"development strategy"	0.0544732
"business activity"	0.0529539
"investment climate"	0.0526831
colloquy	0.0523457
"conflict resolution"	0.0522863
monitoring	0.0520779
Eco-tourism	0.0520775
standardization	0.0520526
"mass transit"	0.0517525
miscommunication	0.0514139
urbanization	0.0509461
"social activity"	0.0505883
"balance of trade"	0.0505487
"internal control"	0.050543
"business condition"	0.0504643
tiff	0.050243
aquiculture	0.050032
collegiality	0.0500018
tie-up	0.0499616
"distribution network"	0.0498662
contracting	0.0488778
"merger agreement"	0.0486067
democratization	0.0485387
power-sharing	0.048514
symbiosis	0.0484616
conciliation	0.048442
buoyancy	0.0483955
afforestation	0.0477296
reciprocity	0.0473845
"debt market"	0.0471046
"social contract"	0.0468132
"commercial law"	0.0466499
"customs union"	0.0466342
"early warning system"	0.046616
peace-building	0.0465476
connectivity	0.0458846
"field trial"	0.0458113
"trade barrier"	0.0457774
"merger talk"	0.0457641
"R&AMP;D"	0.0457509
"written agreement"	0.0457234
give-and-take	0.0456736
"city planning"	0.0456484
ECA	0.0454227
know-how	0.0453435
specialization	0.0451884
localization	0.0450822
"development organization"	0.0450567
"investor confidence"	0.0449894
"foreign direct investment"	0.0449794
sensitization	0.0449213
dynamism	0.0448221
"trade issue"	0.0447426
sufficiency	0.0446814
interchange	0.0446133
taxiway	0.0444001
"about three percent"	0.0443211
consultancy	0.0439938
unionism	0.0439563
soundness	0.0439198
privatizations	0.0438681
"subversive activity"	0.0437818
regionalism	0.0434905
divestiture	0.0430133
commonality	0.0429819
facilitation	0.0428408
peace-making	0.0426727
containment	0.0426345
ecotourism	0.0423901
sustainability	0.0423443
peace-keeping	0.0423339
"balance of power"	0.0422931
delimitation	0.0422502
"development center"	0.0421316
reactivation	0.0419228
cross-fertilization	0.0419144
tenancy	0.0418588
linkup	0.0418404
designing	0.0418246
differentiation	0.0417899
backwardness	0.0416559
"detective work"	0.0416072
resilience	0.0415224
"military training"	0.0414637
criminalization	0.0414255
capacity-building	0.0411982
"employment growth"	0.0410719
"military capability"	0.0409702
deepest	0.0409286
entrepreneurship	0.0408117
assistances	0.0406372
revitalization	0.0404951
"human factor"	0.0402969
risk-taking	0.0401475
"power system"	0.0401288
globalisation	0.0401269
"trade balance"	0.0400175
))
(co-accused (desc 1675) (sims
co-defendants	0.127973
"I.K Gujral"	0.106297
co-conspirator	0.102852
co-defendant	0.0833296
crewmates	0.077606
Hazelwood	0.0775321
B-@s	0.0774876
co-counsel	0.0721785
Concordes	0.0655789
Livoti	0.0645017
inductees	0.0639359
conspirator	0.0634317
"Atal Behari Vajpayee"	0.0630948
Gujral	0.0627648
"Lahore Declaration"	0.0626587
"defense lawyers"	0.0620563
Nikitin	0.0607809
Mikhailov	0.0599991
"Inder Kumar Gujral"	0.0599765
vote-getters	0.0593626
quarterfinalists	0.0590661
"P.V Narasimha Rao"	0.058429
Dutchmen	0.0579513
great-grandchildren	0.0572638
accomplice	0.0571736
sub-projects	0.0564417
Agca	0.0556883
no-decisions	0.0552783
pallbearer	0.054967
coconspirator	0.0549212
"Sartaj Aziz"	0.0547624
"Benazir Bhutto"	0.0544642
Imelda	0.0541785
shipmate	0.0539491
"No. @s"	0.0534706
mistrial	0.0531757
prong	0.0529777
"Mike Espy"	0.0524215
starts.	0.0518661
"Ryder Cups"	0.051407
Bhutto	0.0511634
Nkabinde	0.0506191
"All-Star Games"	0.0499432
"British Opens"	0.0493136
"prosecuting attorney"	0.0492353
"Cy Young Awards"	0.049222
Zhivkov	0.0487735
"Klaus Kinkel"	0.0485831
"Laurent Fabius"	0.0482004
"minor-league team"	0.04762
"summary judgment"	0.0476015
"major-league team"	0.0475307
complainant	0.0470117
bandmates	0.0469652
Tunisian	0.0465392
Lawson	0.0460274
Merlino	0.0452716
Hofer	0.0451781
co-leaders	0.0445921
"Final Fours"	0.0445848
pug	0.0441995
"Richard Ashby"	0.0441976
"Susan McDougal"	0.0439814
"sugar refinery"	0.0437318
"subsidiary company"	0.0435333
seasons.	0.0434982
bogy	0.0434148
"service break"	0.0430191
QBs	0.042576
hostage-takers	0.0425579
SEZs	0.042437
Craxi	0.0424205
Pillars	0.0421383
"foster child"	0.0417985
"charge sheet"	0.0417636
"break of serve"	0.0417583
escapee	0.0414393
dissenter	0.0411385
years.	0.040972
accuser	0.0409055
Gritz	0.040821
"Policy Address"	0.0407358
housemates	0.0407065
"day of rest"	0.0404703
"Pro Bowls"	0.0403917
Bruder	0.0403258
"U.N. agencies"	0.0402298
"major league season"	0.0401905
baserunners	0.0400878
"Raul Salinas"	0.0400376
))
(co-anchor (desc 2173.67) (sims
vaulter	0.0699656
"television star"	0.0646628
anchorman	0.062574
"foster mother"	0.0615822
"fashion model"	0.0585127
transsexual	0.0568326
"belly dancer"	0.0556027
soulmate	0.0555203
"small hours"	0.0547061
"second person"	0.0546705
householder	0.054435
scoutmaster	0.0543925
"Rhodes Scholar"	0.0528488
moderator	0.0527951
genital	0.0519408
avocation	0.0518966
deejays	0.0518737
crewmates	0.0518061
stripper	0.05132
"sex hormone"	0.0508539
"ballet dancer"	0.0500665
"press agent"	0.0496306
divorcee	0.049515
"sounding board"	0.0494113
"math teacher"	0.0491401
"Little Dog"	0.049081
hostess	0.0488102
"guardian angel"	0.0485587
co-creator	0.0484985
"big sister"	0.048365
accompanist	0.0483368
"chorus line"	0.0480623
tomboy	0.0480168
consort	0.0479648
triathlete	0.0476459
feistiness	0.0476281
"costume designer"	0.0475068
"foreign service officer"	0.0470156
"private eye"	0.0464755
"legal guardian"	0.0463732
"first half-hour"	0.0460282
"young lady"	0.0459447
"Diane Sawyer"	0.0459407
co-leader	0.0456381
"chief of state"	0.0456074
"art director"	0.0454369
archetype	0.0452222
victimhood	0.0451683
impersonator	0.0451201
"sales manager"	0.0450061
miler	0.0449432
pronoun	0.044864
"Defensive Player"	0.0447112
"divorce lawyer"	0.0446862
"Field Poll"	0.0446219
"office staff"	0.044492
bandmates	0.0444514
speechwriter	0.0444478
second-in-command	0.0443998
bullfighter	0.0440203
housemates	0.043932
bimbo	0.0438567
"patron saint"	0.0437131
Macaque	0.0436713
"double agent"	0.0436431
personification	0.043631
housemate	0.0434693
"white person"	0.0433869
triathletes	0.0431537
vocalist	0.0428841
rulebook	0.0428304
cheetah	0.0425274
cellmate	0.0424605
orangutan	0.042148
"registered nurse"	0.0420763
"hunting ground"	0.0420193
claimer	0.0418445
stylist	0.0416861
"trump card"	0.0416822
"literary agent"	0.0415711
endorser	0.0414945
"law partner"	0.0414539
"first hour"	0.0413087
shipmate	0.0410977
matchmaker	0.0410494
hairdresser	0.0410056
"wonder drug"	0.0409206
circumcision	0.040819
"opera star"	0.0407133
taskmaster	0.0406324
"managing editor"	0.0401564
viewership	0.0401077
paramour	0.0400798
drug-free	0.0400243
))
(co-captain (desc 2654.98) (sims
tackler	0.0853263
part-owner	0.0780116
"Pete Holland"	0.0748612
co-owner	0.0745351
lineman	0.0736326
"line coach"	0.0689334
returner	0.066611
"tight end"	0.0641584
"one sack"	0.062588
punter	0.0625026
"Jumbo Elliott"	0.0612514
"Sean Farnham"	0.0607905
standout	0.0596732
"Dana Stubblefield"	0.0596309
"Michelle Akers"	0.0570207
"floor leader"	0.0566
cornerbacks	0.0564609
midfielders	0.055804
"administrative official"	0.0555649
co-owners	0.0554969
fullback	0.0552698
stopper	0.0548075
"Pro Bowler"	0.0534873
paraplegic	0.0533961
well-respected	0.0531901
co-leader	0.0528749
alumnus	0.0528533
captaincy	0.0512522
"second person"	0.0505407
"Carla Overbeck"	0.0504576
"most valuable player"	0.0502769
"Congressional Democrats"	0.0496812
"Larry Whigham"	0.048996
Intimidator	0.048521
"electrical engineer"	0.0483752
"John Fox"	0.0480389
"charter member"	0.0479546
"air force officer"	0.0478802
co-president	0.047795
overachiever	0.0474756
co	0.0474289
rebounders	0.0472663
Kicker	0.0470379
"important person"	0.0469785
"three sacks"	0.0469435
internist	0.0461546
rusher	0.0461149
"eye doctor"	0.0460966
player-coach	0.0459991
"Ryan Roques"	0.0459113
tailback	0.0457746
agronomist	0.045719
"Tiffeny Milbrett"	0.0456719
nucleus	0.04567
"Kristine Lilly"	0.0456488
"role player"	0.04507
miler	0.0450186
co-head	0.0450016
valedictorian	0.0446465
"Solomon Page"	0.0445464
"four sacks"	0.0443969
"Brandi Chastain"	0.0442559
CMAG	0.0440553
fulcrum	0.043637
"Bruce Matthews"	0.0434733
"Windrell Hayes"	0.0434487
defensemen	0.0431434
"enlisted man"	0.0431291
"Bobby Julich"	0.0431266
blocker	0.0428548
"one of the boys"	0.0427861
"Eric Whitfield"	0.0427773
"Scoonie Penn"	0.0426768
orthopedist	0.0424734
"Travis Hall"	0.0424637
co-producer	0.0421133
shootaround	0.0420656
"Mia Hamm"	0.0419638
"guiding light"	0.0418737
Nowitzki	0.0417493
"art director"	0.0417269
"foster mother"	0.0415804
Sheryl	0.0415269
"Chris Palmer"	0.0414548
"Mark Tuinei"	0.0414064
"Shane Dronett"	0.0413836
savior	0.0412959
halfback	0.0412684
"Trace Armstrong"	0.041248
"radio announcer"	0.0412247
"Sergei Zubov"	0.0412044
"legal guardian"	0.0412009
"Next Generation"	0.0411189
innovator	0.040998
beautician	0.0409849
commoner	0.040963
bodybuilder	0.0408961
"Jermaine Lewis"	0.0408114
whiz	0.0408045
"Orthodox Jew"	0.0406497
"Ricky Moore"	0.0405475
Olympian	0.0405413
"Danny Farmer"	0.0405067
playmaker	0.040471
playbook	0.0404139
"two sacks"	0.0404009
))
(co-chair (desc 6805.1) (sims
co-chairman	0.186692
co-chairwoman	0.167031
co-chairs	0.15157
chairwoman	0.128428
cochairman	0.125777
co-chairmen	0.108897
co-president	0.0693727
chairmen	0.0675396
treasurer	0.0653674
"vice chairman"	0.0606848
co-leader	0.0582018
co-director	0.0576428
co-sponsor	0.0569208
"deputy chairman"	0.0564761
"executive director"	0.0564642
chairperson	0.0558285
"executive secretary"	0.0547902
"finance chief"	0.0528136
forming	0.0510821
assemblyman	0.0497546
"campaign official"	0.0490986
panelist	0.0476088
pallbearer	0.0475948
"press secretary"	0.0473412
strategist	0.0465573
speechwriter	0.0463522
"solicitor general"	0.0462433
"executive officer"	0.0450463
"department head"	0.0448462
"legal guardian"	0.0439694
"media consultant"	0.0437803
moderator	0.0434433
R-Vt.	0.0434431
"board member"	0.0431525
rector	0.0429021
co-editor	0.0428448
pollster	0.042808
chairmanship	0.0426251
"committee member"	0.0425706
"state senator"	0.0423906
alderman	0.040807
operative	0.0405853
coauthor	0.0404939
))
(co-chaired (desc 6615.16) (sims
co-organized	0.0912492
"Entebbe International Airport"	0.0784384
"military commission"	0.0616108
"first one"	0.0606054
"Joaquim Chissano"	0.0568327
"Cairo International Airport"	0.0550442
"Harare International Airport"	0.0533602
Kabariti	0.0507299
"Paul Kagame"	0.0499259
follow-up	0.0498014
"third one"	0.048418
"waste of time"	0.0474143
Comments	0.0472124
Vice-Foreign	0.0454871
Sharaa	0.0445663
Shara	0.0441168
))
(co-chairman (desc 21956.1) (sims
co-chairmen	0.232611
co-chair	0.186692
cochairman	0.172139
chairman	0.147247
chairwoman	0.142766
"vice chairman"	0.124945
co-chairwoman	0.110028
co-chairs	0.103013
chairmen	0.100403
treasurer	0.0944192
"chairman emeritus"	0.091272
"executive director"	0.0910873
"chairman of the board"	0.0883948
"deputy chairman"	0.0862111
co-president	0.0845119
"chief executive"	0.0768355
chairperson	0.0742874
"executive vice president"	0.074278
"chief executive officer"	0.0736703
"board member"	0.0734473
"executive secretary"	0.0714546
"chief operating officer"	0.0714444
CEO	0.0709339
co-director	0.0699423
"managing director"	0.0691436
co	0.0673178
"Abby Joseph Cohen"	0.0654223
"senior vice president"	0.0646843
vice-chairman	0.0639125
"press secretary"	0.0622791
"executive officer"	0.0603711
"deputy director"	0.0603106
trustee	0.0603039
strategist	0.0596339
"Harvey Weinstein"	0.0590265
"chief financial officer"	0.0583811
"general counsel"	0.0576063
executor	0.0572361
adviser	0.0569941
editor-in-chief	0.0552093
"top executive"	0.0549701
Secretary-General	0.0548491
coordinator	0.0547695
secretary	0.0542649
"chief of staff"	0.0534042
cofounder	0.0530524
co-owner	0.0526797
Comptroller	0.05146
"music director"	0.051361
Congressman	0.0511106
dean	0.0510301
backer	0.050649
co-sponsor	0.0506234
director-general	0.0505946
commissioner	0.0505288
advisor	0.0503903
"commander in chief"	0.0499856
consultant	0.0499399
coauthor	0.0492068
"media consultant"	0.0489043
"finance minister"	0.0487997
chairmanship	0.0486753
"general secretary"	0.048632
superintendent	0.0484012
"investment banker"	0.0480627
"general manager"	0.0474838
"sales manager"	0.0469467
co-manager	0.0460827
fund-raiser	0.0458177
undersecretary	0.0455331
organizer	0.0454715
"chief administrative officer"	0.0453963
moderator	0.0453678
Counsel	0.044915
second-in-command	0.0447786
"cabinet member"	0.0447473
founder	0.0444171
forming	0.0440608
assemblyman	0.0439416
"steering committee"	0.0438864
"Lawrence Summers"	0.0438735
"cabinet minister"	0.0437461
"staff member"	0.043739
rector	0.0434572
"managing editor"	0.0432926
speechwriter	0.0429285
Archbishop	0.0429251
spokesperson	0.0428629
confidant	0.042542
"secretary of state"	0.0422297
"financial officer"	0.0418926
mediator	0.0417034
"state senator"	0.0415538
spokeswoman	0.0413776
financier	0.0412368
"department head"	0.040465
"football coach"	0.0404187
curator	0.0404076
"spiritual leader"	0.0403951
"solicitor general"	0.0403721
Colonel	0.0401367
"lieutenant governor"	0.0401085
legislator	0.0400546
Provost	0.0400299
"political commissar"	0.0400052
))
(co-chairmanship (desc 1334.95) (sims
chairmanship	0.136396
auspice	0.132645
auspices	0.0878377
aegis	0.0777349
"Annual Meeting"	0.0578759
"Islamic Conference"	0.0532583
Presense	0.0526341
"Chinese Communist Party (CPC) Central Committee"	0.0453102
reactivation	0.0445503
combativeness	0.0442962
"Title VII"	0.042513
rubric	0.0417653
"false name"	0.0413578
swapping	0.0403208
swearing-in	0.0400268
))
(co-chairmen (desc 6516.7) (sims
co-chairman	0.232611
co-chairs	0.154018
chairmen	0.133674
cochairman	0.114183
co-chair	0.108897
chairperson	0.108078
chairwoman	0.0986303
"vice chairman"	0.0853344
"deputy chairman"	0.0819995
"executive secretary"	0.0793611
"chairman of the board"	0.076359
vice-president	0.0760203
co-president	0.0689206
"board member"	0.0684512
"presiding officer"	0.0622225
panelist	0.0615648
pallbearer	0.0613381
crewmembers	0.0602956
"chief financial officer"	0.059347
crewmates	0.0588977
co-chairwoman	0.0588697
treasurer	0.0587142
"department head"	0.0573847
"executive director"	0.0568427
"managing director"	0.056825
"top executive"	0.0564245
"commander in chief"	0.0555196
"executive officer"	0.0554833
vice-chairman	0.0553853
forming	0.055385
co-leaders	0.0550702
cofounder	0.0550536
Secretary-General	0.0550111
vote-getters	0.0545295
"chief operating officer"	0.0542497
"chief executive officer"	0.0541813
vice-chairmen	0.053596
"vice- president"	0.053372
"financial officer"	0.0529925
mediator	0.0528939
"executive vice president"	0.0526655
co-sponsors	0.0524635
chairmanship	0.0522871
co-sponsor	0.0521025
inductees	0.0520186
"general counsel"	0.0519335
"David Levy"	0.0516451
"Executive Committee"	0.0510383
"council member"	0.0508901
"Jerusalem Committee"	0.0506427
"chairman emeritus"	0.0497739
initiator	0.0497052
"general secretary"	0.0495175
"postmaster general"	0.049395
"Harvey Weinstein"	0.048215
co-owners	0.0478512
"Bashkim Fino"	0.0475405
Ashrawi	0.0472115
Registrar	0.0468505
underwriter	0.046549
CFO	0.0460281
trustee	0.04586
"safety valve"	0.0453586
"chief administrative officer"	0.0453483
great-grandchildren	0.0451637
quarterfinalists	0.0450841
housemates	0.0450335
rector	0.0447907
director-general	0.0444072
"lead underwriter"	0.0440406
Councilors	0.0435388
frontrunners	0.0433942
"Secretary General"	0.043184
co	0.0431168
organist	0.0430499
"No. @s"	0.0429779
hosting	0.0427717
"vice chancellor"	0.0425408
"Edmund Ho Hau Wah"	0.0425313
directors-general	0.0424822
"deputy director"	0.0424397
"cabinet minister"	0.0423739
guardsmen	0.0423503
al-Sahaf	0.0421036
prefect	0.0419439
"legal guardian"	0.0418716
"Sergei Kiriyenko"	0.041852
Venables	0.0418152
"altar boy"	0.0417464
"Secretary- General"	0.0416405
"steering committee"	0.0416347
"Cy Young Awards"	0.0415409
consul	0.0415084
Klansmen	0.0414217
signer	0.0414126
"committee member"	0.0413945
commandant	0.0413901
convening	0.0413579
"Igor Ivanov"	0.0412659
"talent agent"	0.0412032
"Hubert Vedrine"	0.0411782
"union representative"	0.0411737
"commanding officer"	0.0411351
"Final Fours"	0.0410593
hostage-takers	0.0409233
starts.	0.0406282
emcee	0.0406213
convocation	0.0405671
"Atal Bihari Vajpayee"	0.0404724
undersecretary	0.0404092
"first two days"	0.0403826
"working group"	0.0403433
SEZs	0.0403115
"finance chief"	0.0402488
co-defendants	0.0401459
"Igor Sergeyev"	0.0400991
"Fayez Tarawneh"	0.0400909
signatory	0.0400014
))
(co-chairs (desc 1298.83) (sims
cochairman	0.159095
co-chairmen	0.154018
co-chair	0.15157
co-chairman	0.103013
chairmen	0.0935854
QBs	0.0891584
co-chairwoman	0.0870501
quarterfinalists	0.0826882
"No. @s"	0.0824992
vote-getters	0.0789461
co-owners	0.077821
MiGs	0.0755893
"two pitchers"	0.0755289
convening	0.0753112
chairwoman	0.0746662
"first two days"	0.0733767
wideouts	0.0724352
ex-convicts	0.0721471
Dutchmen	0.0716527
prong	0.0713073
panelist	0.070792
drafters	0.0683624
postseasons	0.0677082
great-grandchildren	0.0675584
closers	0.0661211
upperclassmen	0.0659785
crewmembers	0.0651238
rebounders	0.0648673
minor-leaguers	0.064119
"Cy Young Awards"	0.0634792
spacewalkers	0.0634283
"Final Fours"	0.0629284
consortia	0.0624826
co-sponsors	0.0624593
"three pitchers"	0.0621794
attendees	0.0620548
tacklers	0.0619804
vice-chairmen	0.0619689
inductees	0.0617495
"power unit"	0.0616296
pallbearer	0.0610239
Stealers	0.060346
chairlift	0.0597885
vice-president	0.0595357
A-list	0.0593878
"All-Star Games"	0.0587605
musketeer	0.0586406
educationist	0.0585658
co-president	0.0583152
signer	0.0581089
takeaways	0.057822
forming	0.0577542
par-@s	0.0576537
"British Opens"	0.0574058
"New York Republicans"	0.0571558
"credit bureau"	0.0570788
no-decisions	0.0569486
spacewalks	0.0566342
"agenda item"	0.0565705
"World Cups"	0.0559227
"word of advice"	0.0558717
frontrunners	0.0557634
bogy	0.0557332
fifths	0.0556852
Christmases	0.0554271
goaltenders	0.0552228
metropolises	0.0551037
vaulter	0.0550293
"third night"	0.054918
rushers	0.054851
"second night"	0.0547987
"Ryder Cups"	0.0547887
co-defendants	0.0546327
moderator	0.0546226
hosting	0.0544906
"first night"	0.0543835
disbandment	0.0539796
fundraisers	0.0538461
Klansmen	0.0538252
guardsmen	0.0533265
sherpas	0.053254
prefect	0.0531834
chairperson	0.0531717
"Special Economic Zones"	0.0529103
"foul shot"	0.0528586
tranches	0.0527508
Humvees	0.0527446
flashpoints	0.0525917
honoree	0.052579
A@@@s	0.052391
headliners	0.0521617
signees	0.052017
singer-songwriters	0.0520035
nonwhites	0.0519929
crewmates	0.0517117
"department head"	0.051553
pluses	0.0515168
"chairman emeritus"	0.0514655
Presidium	0.0513753
phenoms	0.0512936
initiator	0.0512101
tenths	0.0511989
reshuffling	0.0510464
accuser	0.0509311
ifs	0.0509235
starts.	0.050866
"major league season"	0.0508566
"subsidiary company"	0.0507891
"supporting players"	0.0507441
patrolmen	0.0504431
"core group"	0.0502636
realignments	0.050231
"Scandinavian country"	0.0502042
runnings	0.0501544
stepchildren	0.0500164
weightlifter	0.0499966
comprises	0.04986
lifter	0.0496869
academician	0.0496669
"organic law"	0.0495459
gyroscope	0.0494199
Cadillacs	0.0492421
curveballs	0.0492233
planeloads	0.0490166
minibuses	0.0490029
"Baby Bells"	0.0486661
iteration	0.0486104
"favorite son"	0.0484395
chaperone	0.0484383
"Texas Democrats"	0.0482454
richest	0.0482422
left-winger	0.0482078
goer	0.0481283
"executive secretary"	0.0480968
SEZs	0.0479925
"building society"	0.0479756
"space walk"	0.0479504
"first days"	0.0479499
doormat	0.0479125
co-leaders	0.0476065
Tables	0.04739
depository	0.0473091
"Gold Gloves"	0.0472156
guidepost	0.0471811
emcee	0.0471584
Englishmen	0.0471103
"two heads"	0.0469696
midshipmen	0.0469547
"Balkan Wars"	0.0466968
"dining table"	0.0466106
specialities	0.0465738
timeouts	0.0465519
"side chair"	0.0462718
Councilors	0.0462001
dissenter	0.0460292
playmakers	0.0458922
hostage-takers	0.0457808
establishing	0.0457518
sub-indices	0.0456968
lifeboat	0.0455189
"Pulitzer Prizes"	0.0453847
rarest	0.0451503
batsmen	0.0449666
baserunners	0.0449508
syllable	0.0448536
"sailing vessel"	0.0447836
jailer	0.0446127
skydiver	0.0443793
"distinctive feature"	0.0441758
subspecies	0.0441037
comprised	0.0440378
"love seat"	0.0439449
marathoner	0.0438636
MiG-@@s	0.0436325
paddler	0.0436238
ringleader	0.043617
"safety valve"	0.0435043
"Susanthika Jayasinghe"	0.0433308
Opens	0.0430162
minster	0.0430139
All-Americans	0.0429909
Deacon	0.0429381
"seeded player"	0.0428153
"U.S. Opens"	0.0428047
Allchin	0.0427548
B-@s	0.042753
"leading indicator"	0.04274
friendlies	0.0427397
"main course"	0.0426488
pug	0.0426343
midfielders	0.0426095
cornerbacks	0.0425811
consort	0.0425331
"next of kin"	0.0424976
carmakers	0.0424161
"Ninety-nine percent"	0.0423584
"scientific theory"	0.0423253
"closed session"	0.0422972
Registrar	0.0422511
finds	0.0422155
))
(co-chairwoman (desc 1787.45) (sims
cochairman	0.175591
co-chair	0.167031
chairwoman	0.131752
co-chairman	0.110028
co-chairs	0.0870501
"first Head"	0.0743759
chairperson	0.0676176
co-president	0.0666232
forming	0.0638836
"district manager"	0.0615638
"deputy chairman"	0.0605378
co-chairmen	0.0588697
non-members	0.0564732
foretaste	0.0552697
co-director	0.0552323
co-editor	0.0552136
"vice- president"	0.0532784
disbanding	0.0519296
reshuffling	0.0510218
"market strategist"	0.0506985
initiator	0.0506955
crystallization	0.049379
"organic law"	0.0489203
committeeman	0.0468808
co-leader	0.046776
taskmaster	0.0463803
institutionalization	0.0453124
disbandment	0.044965
crowning	0.0447557
polity	0.0445945
"deputy sheriff"	0.04411
"legal guardian"	0.043967
co-defendant	0.0438586
"investment strategist"	0.0434806
co-manager	0.0432166
granddaddy	0.0427535
"chairman emeritus"	0.0420825
recounting	0.0419903
"half sister"	0.041922
vice-director	0.041266
"second cousin"	0.0412237
establishing	0.0409984
money-winner	0.0408877
))
(co-conspirator (desc 4281.98) (sims
accomplice	0.163154
coconspirator	0.149165
conspirator	0.148424
co-defendant	0.138351
ringleader	0.114237
co-accused	0.102852
co-defendants	0.0966883
defendant	0.0944609
co-counsel	0.0899233
"Raul Salinas"	0.0761217
guardsmen	0.0758699
Fortier	0.0747866
"Angel Maturino Resendiz"	0.0740907
perpetrator	0.0739752
Barrionuevo	0.0727744
Agca	0.0723277
Dutchmen	0.0714949
violator	0.0686325
"Cary Stayner"	0.0660498
vote-getters	0.0660412
"Maturino Resendiz"	0.0657821
Klansmen	0.0656811
accused	0.0653119
paraplegic	0.0652972
Merlino	0.0652236
McVeigh	0.0645376
mastermind	0.0643503
attacker	0.063125
plotter	0.0626457
informer	0.0625831
plaintiff	0.0624964
"partner in crime"	0.0624788
executor	0.0620623
instigator	0.0613508
"double agent"	0.0613399
culprit	0.0612387
complicit	0.0608836
Salemme	0.0606529
"Russell Peeler"	0.0605938
pallbearer	0.0604776
crewmates	0.0604121
Jelisic	0.0603905
quarterfinalists	0.0603186
Gauthe	0.0599887
murderer	0.0596785
collaborator	0.0590725
informant	0.0588301
perjurer	0.058391
QBs	0.0580629
"Terry Nichols"	0.057957
abuser	0.0578905
mobster	0.0572248
great-grandchildren	0.0571877
kingpin	0.057088
"Bosnian Croat"	0.0568639
leeson	0.0566645
felon	0.056258
burglar	0.0558059
Lieutenant	0.0556695
Nichols	0.0556328
"police sergeant"	0.055277
"defense lawyers"	0.0552353
Stayner	0.0549449
complicity	0.0548073
"Special Economic Zones"	0.0548063
Confederate	0.0544179
mistrial	0.0538155
"drug dealer"	0.0535338
starts.	0.0534694
"legal guardian"	0.0533526
Guido	0.0529627
Sebaggala	0.0528178
abductor	0.0525232
Rapist	0.0521248
"war criminal"	0.0520527
Kambanda	0.0517885
"break of serve"	0.0516121
inductees	0.0515592
al-Megrahi	0.0513833
"subsidiary company"	0.0509812
"insider trading"	0.0509563
Meskini	0.0508851
shipmate	0.0508668
"foster parent"	0.0506703
kidnapper	0.0504843
Mikhailov	0.0503316
"drug trafficker"	0.0503302
"intelligence agent"	0.0501065
Sarsour	0.0500532
Priebke	0.0500401
"Timothy McVeigh"	0.0500083
Libyan	0.0496702
hostage-takers	0.0496269
"Kosovo Serbs"	0.0496062
assailant	0.0495679
pedophile	0.0493653
Coolio	0.0493649
"Jim Guy Tucker"	0.049161
Swango	0.0490566
complainant	0.0487338
Kaczynski	0.0487076
Haughey	0.0486998
Shipman	0.0486937
Karbaschi	0.0486901
Musa	0.0486837
"Yigal Amir"	0.0486433
"El Hage"	0.0486299
Markhasev	0.0485565
Whitacre	0.0485091
"David Hale"	0.0484728
dissenter	0.048467
crewmembers	0.048382
"child molester"	0.0481645
"No. @s"	0.0480532
"P.V Narasimha Rao"	0.047977
"foster mother"	0.0478793
smuggler	0.047852
paramour	0.0478498
turncoat	0.0478155
acquaintance	0.0476645
Laudor	0.0476044
"white man"	0.0473791
"Iranian Jews"	0.0472635
SEZs	0.0472365
trafficker	0.047209
jailer	0.047157
Francois	0.0470821
HITMAN	0.0470732
"Final Fours"	0.0467386
Deri	0.0466984
"major-league team"	0.0464822
"summary judgment"	0.0464568
"Russell Henderson"	0.0463451
accuser	0.0461359
no-decisions	0.0457689
Schmitz	0.0457474
serviceman	0.0456236
McDuff	0.0455488
Hsia	0.0453669
Hofer	0.0452419
mutineer	0.0452176
"false statement"	0.0452062
"Del Toro"	0.0451159
"intelligence analyst"	0.0451027
housemates	0.0450694
HIV-positive	0.0450477
Gutman	0.0449789
Sithole	0.0449278
"guinea pig"	0.0449132
Berlusconi	0.0447974
survivalist	0.0446334
"Bosnian Serb"	0.0445222
litigant	0.0445174
Noriega	0.0445144
highflier	0.0444111
skinhead	0.0443285
Sheinbein	0.0443271
Papon	0.0443114
Milken	0.0442261
Einhorn	0.0441792
"foot soldier"	0.0441609
TORTURER	0.0440708
Carneal	0.0440317
hooligan	0.0440173
impostor	0.0440035
"third person"	0.0439432
coverup	0.0438985
fugitive	0.0438967
"finding of fact"	0.0438675
Berenson	0.0438666
ex-convicts	0.0438126
Shulman	0.0437817
"service break"	0.0437791
panelist	0.0436876
Schweitzer	0.043519
traitor	0.0434433
"All-Star Games"	0.0434411
Blackthorne	0.0433309
"secret agent"	0.0431615
pawn	0.0431477
McKinney	0.0431402
robber	0.0431296
eyewitness	0.0430975
wideouts	0.0430464
Shayler	0.0430313
All-Americans	0.0430287
second-in-command	0.0429959
"minor-league team"	0.0429827
student-athletes	0.042951
"important person"	0.0429106
"contempt of court"	0.042749
"hush money"	0.0426951
"Black Panther"	0.0426531
suitor	0.0425197
"chief financial officer"	0.0424242
Nikitin	0.0423985
Manbar	0.0423572
Natale	0.0423492
detainee	0.0422852
Karr	0.042215
))
(co-counsel (desc 1211.87) (sims
co-defendant	0.108924
mistrial	0.0942814
co-conspirator	0.0899233
"defense lawyers"	0.0783173
co-accused	0.0721785
co-defendants	0.0719424
"Gregory Craig"	0.064908
coconspirator	0.0640491
"finding of fact"	0.0635085
"contempt of court"	0.0629837
"burden of proof"	0.061981
"lead underwriter"	0.060147
"prosecuting attorney"	0.0576205
"American plan"	0.0571635
"out-of-court settlement"	0.0570807
complainant	0.0568971
"legal guardian"	0.0552888
"David Kendall"	0.0544137
"Urban League"	0.0537409
"Paula Jones"	0.053588
"summary judgment"	0.0519316
"sparring partner"	0.0515653
Litigator	0.0512613
co-manager	0.050629
"Sidney Blumenthal"	0.0501767
"lying under oath"	0.0499605
housemates	0.0498477
"final judgment"	0.0489592
"Abbe Lowell"	0.0487948
crewmates	0.0480218
summation	0.0476486
litigant	0.047623
accuser	0.047519
"Charles Ruff"	0.0467155
Bursa	0.0460329
"safety valve"	0.0455313
cochairman	0.045401
"common factor"	0.0453317
"legal representation"	0.0452287
"certified public accountant"	0.0451306
"Jim Thomas"	0.0449726
shipmate	0.0448869
"National Urban League"	0.044727
"trial court"	0.043415
"charge sheet"	0.0434104
weigh-in	0.0429331
"over $@,@@@"	0.0427999
"P.V Narasimha Rao"	0.0425921
subbing	0.0425518
hardest-hit	0.0422261
co-producer	0.0421894
"Gold Glove"	0.0417751
interlocutor	0.0411657
"vote counter"	0.0409074
ghostwriter	0.0402791
"sounding board"	0.0402514
"Jehovah's Witnesses"	0.0400574
))
(co-creator (desc 3486.99) (sims
co-producer	0.152663
creator	0.116018
co-writer	0.107374
"John Wells"	0.0859986
cinematographer	0.0755599
"Dennis Franz"	0.0747811
"Larry Sanders Show"	0.067464
rerun	0.0652405
co-editor	0.059522
Roseanne	0.0590634
"press agent"	0.0586136
arranger	0.0579699
"Aaron Sorkin"	0.0570175
forman	0.0565593
coauthor	0.0538776
"Steven Bochco"	0.0496277
"Norman Lear"	0.0493701
co-anchor	0.0484985
lyricist	0.0473852
co-director	0.0461193
"talent agent"	0.045902
"costume designer"	0.0455163
"art director"	0.0452256
"talent scout"	0.0448966
choreographer	0.044144
taping	0.0433537
booker	0.0429089
syndication	0.0423664
"Susan Stroman"	0.0414976
double-teamed	0.041041
"Quincy Jones"	0.0406954
"David E. Kelley"	0.0402803
"newspaper editor"	0.0402543
"April Oliver"	0.0402523
))
(co-defendant (desc 4453.84) (sims
co-defendants	0.143705
co-conspirator	0.138351
co-counsel	0.108924
Fortier	0.0896045
Barrionuevo	0.0871394
co-accused	0.0833296
Lyons	0.0806387
Bruder	0.0734379
McKinney	0.0730284
Agca	0.0706764
Nikitin	0.0696124
"defense team"	0.0692893
Livoti	0.0692462
"Maturino Resendiz"	0.0691788
mistrial	0.0678078
Nichols	0.0675479
Martorano	0.0672459
Laudor	0.066529
Craxi	0.065862
"Jim Guy Tucker"	0.0656417
Halloran	0.0646609
accomplice	0.0632233
Salemme	0.0627664
"Susan McDougal"	0.0618592
coconspirator	0.0616639
Hazelwood	0.0610534
shipmate	0.0609118
"police sergeant"	0.060901
"Jack Kevorkian"	0.0608351
"John William King"	0.0601321
Carneal	0.0600129
"Black Panther"	0.0599967
Merlino	0.0597823
"Richard Ashby"	0.0593852
Imelda	0.0588181
Hofer	0.0587653
McDuff	0.0583814
Jelisic	0.0574138
"defense lawyers"	0.0569138
"Angel Maturino Resendiz"	0.0567816
Espy	0.0567021
Boesak	0.0565328
Natale	0.0562641
Lacresha	0.0562612
brother-in-law	0.0560712
ringleader	0.0559224
Whitacre	0.0555217
Shipman	0.0551551
Gotti	0.0550679
Symington	0.0550368
Swango	0.0550118
go-round	0.0540574
"intelligence analyst"	0.0539998
Priebke	0.0536722
Gauthe	0.0533716
"Iranian Jews"	0.0533339
TORTURER	0.0533331
ex-husband	0.0530585
"finding of fact"	0.0530315
"Imelda Marcos"	0.0528623
"Mike Espy"	0.0522986
Hiett	0.0520287
"Terry Nichols"	0.0518337
Sheinbein	0.0518265
"Raul Salinas"	0.0516356
"legal guardian"	0.0514712
Meskini	0.0514094
Sebaggala	0.0513674
guardsmen	0.0510338
"David Graham"	0.050889
Mitnick	0.0508444
skinhead	0.0508186
McDougal	0.0507992
Cheung	0.050738
"partner in crime"	0.0505936
"Justin Volpe"	0.0505888
Lugo	0.0504283
Mease	0.05042
Gutman	0.0502715
Wiese	0.0497394
"Russell Peeler"	0.0497341
Jenoff	0.0496134
"Aaron McKinney"	0.0495848
Sheppard	0.0490654
ex-convict	0.049024
Pollard	0.0489994
Sithole	0.0486617
accuser	0.0483638
"deputy sheriff"	0.0482856
Akayesu	0.0482472
"Johnny Chung"	0.0481842
son-in-law	0.0481551
Papon	0.0480811
Noriega	0.0480226
Arizmendi	0.0479479
"plantation owner"	0.0479232
complainant	0.0478848
Kambanda	0.0477898
Coolio	0.0476605
"murder suspect"	0.0475173
Kaczynski	0.0474546
"Russell Henderson"	0.0474103
Deri	0.0472082
Zhivkov	0.047155
Lileikis	0.0471033
"second person"	0.0469778
"P.V Narasimha Rao"	0.0468919
Farber	0.0464045
"law partner"	0.0463814
Hatfield	0.0462638
mistress	0.0461297
"Sidney Blumenthal"	0.0460329
Shulman	0.0459917
soulmate	0.0459363
Musa	0.0459282
Gurule	0.0458216
"Aryeh Deri"	0.0458103
"Shawn Allen Berry"	0.0457447
"church member"	0.0457244
alibi	0.0457167
"Andrew Johnson"	0.0456083
Markhasev	0.0455822
"Paula Jones"	0.0455641
"Branch Davidians"	0.0454906
cellmate	0.045332
"certified public accountant"	0.0452527
"Edwin Edwards"	0.0450442
"David Hale"	0.0449511
"James McDougal"	0.0448892
Schweitzer	0.0448781
Schwarz	0.0448634
Capano	0.0447793
Kehoe	0.0447679
Berenson	0.0444202
tete-a-tete	0.0442863
Giacchetto	0.0442252
Soliah	0.0441299
"John Huang"	0.0441235
Vasquez	0.0439563
"Timothy McVeigh"	0.0439135
"Henry Cisneros"	0.0438654
co-chairwoman	0.0438586
KEVORKIAN	0.0437545
Trie	0.0435838
"foster child"	0.0435555
Karbaschi	0.0435292
Gritz	0.0433731
stepdaughter	0.0433415
Cisneros	0.0432411
"final judgment"	0.043197
"police detective"	0.0431049
Mehmet	0.0429987
Davidians	0.0429472
fiancee	0.0428999
"Bill King"	0.0428732
Bowers	0.0428676
Hirschfeld	0.0428657
Lundy	0.0428295
Grossberg	0.0428171
Hubbell	0.0428135
"contempt of court"	0.0427536
Chung	0.0427321
McVeigh	0.0427267
Dumas	0.042681
Ashby	0.0424162
Karr	0.0423577
Gallagher	0.0421682
Kimes	0.0421386
Manbar	0.0420083
serviceman	0.0420058
Robison	0.0419543
McMellon	0.0419301
"out-of-court settlement"	0.0418553
stepbrother	0.0418203
Fiddes	0.0417741
"Jehovah's Witnesses"	0.0417473
"summary judgment"	0.0415708
"fellow worker"	0.0414024
Fagan	0.041392
furrow	0.0413802
Rocha	0.0411999
Berlusconi	0.0411763
Huang	0.0411103
"cabinet member"	0.0410277
Postmaster	0.040998
McGinn	0.0409653
roofer	0.0409279
Guidry	0.0408882
Klansmen	0.0408148
Echegaray	0.0407491
Blackthorne	0.0406292
Kalejs	0.04061
half-brother	0.0405583
"house guest"	0.0405169
"Cary Stayner"	0.0402416
Nkabinde	0.0401987
Beckwith	0.0401673
oilman	0.0401469
Esposito	0.0400931
Raduyev	0.0400266
))
(co-defendants (desc 6160.11) (sims
co-defendant	0.143705
co-accused	0.127973
defendant	0.126978
Klansmen	0.12182
"Lawrence Russell Brewer"	0.115163
"Russell Peeler"	0.104281
"John William King"	0.101397
Sweeting	0.0971424
co-conspirator	0.0966883
quarterfinalists	0.0950668
crewmates	0.0943014
ringleader	0.0895953
guardsmen	0.0883488
"Rae Carruth"	0.0874571
great-grandchildren	0.0848172
"Mike Espy"	0.0819727
"murder suspect"	0.0807879
shipmate	0.0800267
"No. @s"	0.0798515
Gotti	0.0794428
"Ray Lewis"	0.0793327
Dutchmen	0.0792346
"Edwin Edwards"	0.0782139
crewmen	0.0779853
housemates	0.07757
"Iranian Jews"	0.0772581
conspirator	0.0759158
crewmembers	0.0741621
"major-league team"	0.0738981
"Ryder Cups"	0.0732729
starts.	0.0723188
co-counsel	0.0719424
Nikitin	0.0715714
"Shawn Berry"	0.0715453
"Terry Nichols"	0.0712189
"white man"	0.0711448
ex-convicts	0.0708695
"Baby Bells"	0.0708469
supremacist	0.070837
"Shawn Allen Berry"	0.0707385
"British Opens"	0.0705395
accuser	0.0688355
hostage-takers	0.0686882
accomplice	0.0681742
Salemme	0.0661483
"prison guard"	0.066117
"Final Fours"	0.0658435
McKinney	0.0656474
Barrionuevo	0.0656197
Agca	0.0653882
Mitnick	0.0649551
Priebke	0.0647917
Karr	0.0646665
Martorano	0.0645711
"Angel Maturino Resendiz"	0.0644481
Wiese	0.063891
"Pro Bowls"	0.0638645
Concordes	0.0638278
takeaways	0.0638166
schoolmate	0.0634779
"Manuel Noriega"	0.0633296
"Branch Davidians"	0.0633036
co-owners	0.0632951
Davidians	0.0632107
bandmates	0.0628587
"Richard Ashby"	0.0625898
accused	0.0621338
Schwarz	0.0619985
McDougal	0.0619471
All-Americans	0.0618586
aldermen	0.0617095
"All-Star Games"	0.0617031
peeler	0.0615089
QBs	0.0614561
"church member"	0.0611796
Bruder	0.0610127
Markhasev	0.0610107
inductees	0.0609302
skinhead	0.0609277
panelist	0.060749
no-decisions	0.0606895
Merlino	0.0604855
"Maria Hsia"	0.0601497
vote-getters	0.0600354
assailant	0.0600346
chun	0.0599997
"crew member"	0.0598173
"Susan McDougal"	0.0592271
B-@s	0.0591737
"police sergeant"	0.0589575
plaintiff	0.0586116
student-athletes	0.0585105
"major league season"	0.0583849
cellmate	0.0580656
underling	0.0575822
cohort	0.0574053
Skakel	0.0573398
Hazelwood	0.0573078
McVeigh	0.0572727
Imelda	0.0568889
brewer	0.0565415
litigant	0.0560695
stepchildren	0.0559444
Papon	0.0555915
"Special Economic Zones"	0.0554044
Englishmen	0.0553752
Libyan	0.0553277
"law partner"	0.0553188
hale	0.0552747
Volpe	0.0551966
wideouts	0.055188
Natale	0.0551419
stepdaughter	0.0549218
commoner	0.0549037
"Cy Young Awards"	0.0548958
co-chairs	0.0546327
Siripongs	0.0545784
signer	0.0545625
comrade	0.0545053
Bulger	0.0544131
"foster child"	0.054213
"defense team"	0.0540856
seasons.	0.0540223
Lacresha	0.0537486
Bowers	0.0536725
baserunners	0.0535692
tacklers	0.0534979
Robison	0.0531247
"army officer"	0.0530932
midshipmen	0.053086
juror	0.0529974
par-@s	0.0529502
detainee	0.0529029
firsts	0.0528879
"Raul Salinas"	0.0526667
Cheung	0.0523946
Sithole	0.0523329
mobster	0.0522791
"political detainee"	0.0522454
Copt	0.0522293
bogy	0.0521019
signees	0.0519059
upperclassmen	0.0518773
"civil rights leader"	0.0518641
cultist	0.0518638
"council member"	0.0518528
"John Martorano"	0.0518483
pallbearer	0.0518033
coconspirator	0.0515428
Cisneros	0.0514158
Hijacker	0.051389
Livoti	0.0512916
metropolises	0.0511533
major-leaguers	0.0510865
Salvadoran	0.0510413
"seeded player"	0.0509687
Zhivkov	0.0509263
"Bosnian Croat"	0.0509233
consortia	0.0508598
oilman	0.050666
sherpas	0.0503977
carmakers	0.0503632
sibling	0.0501195
Karbaschi	0.0500419
"Yigal Amir"	0.0497914
"enlisted man"	0.0497902
"altar boy"	0.0497484
Stealers	0.0496809
complainant	0.0496579
"top executive"	0.0496512
mistrial	0.0496289
Deri	0.0495418
hotspots	0.0493702
kidnapper	0.0493522
attacker	0.0493039
lawmen	0.0492512
hopefuls	0.0491439
dissident	0.0490954
"house guest"	0.0490828
handler	0.0490808
Lundy	0.0490367
"cabinet minister"	0.0489456
juvenile	0.0488332
Confederate	0.0487817
appointee	0.0487714
SEZs	0.0485581
"Laurent Fabius"	0.048463
jailer	0.0482507
dissenter	0.0482137
"New York Republicans"	0.0481428
Akayesu	0.0480742
Sharpton	0.0480448
postseasons	0.0480064
"air force officer"	0.0479974
Meskini	0.0479423
Brunner	0.0478205
parachutist	0.0476721
Hofer	0.0474506
"Timothy McVeigh"	0.0474341
MiGs	0.0474024
))
(co-director (desc 7646.85) (sims
"chairman emeritus"	0.103174
co-head	0.0966371
co-producer	0.0883336
"chief scientist"	0.0822765
co-editor	0.0818956
co-president	0.0788545
chairwoman	0.0751061
"executive director"	0.074058
coauthor	0.0737184
co-writer	0.0704371
co-chairman	0.0699423
"preventive medicine"	0.0675303
initiator	0.0655929
"director of research"	0.0641772
"art director"	0.0630973
"assistant professor"	0.0623447
"costume designer"	0.0585634
cofounder	0.0584125
coordinator	0.0577259
co-chair	0.0576428
lecturer	0.0560844
co-chairwoman	0.0552323
"deputy director"	0.0547099
"stage director"	0.0538846
"board member"	0.0536527
TALBOT	0.0525547
arranger	0.0510289
linguist	0.0499695
dean	0.0491186
co-owner	0.0490696
"senior vice president"	0.0488909
"managing director"	0.0488067
"press agent"	0.0485839
"sounding board"	0.0484454
editor-in-chief	0.0484039
"associate professor"	0.0476476
"visiting professor"	0.0474879
co-leader	0.047415
treasurer	0.0470938
"Garth Drabinsky"	0.0463892
co-creator	0.0461193
cinematographer	0.0461128
"legal guardian"	0.0461082
director-general	0.0456531
"chairman of the board"	0.0454905
"executive vice president"	0.0451957
batboy	0.0450405
commentator	0.0448401
"executive officer"	0.0439778
"deputy manager"	0.0439593
"research director"	0.043894
"David Jones"	0.0434634
"first Head"	0.0434334
"project manager"	0.0433499
second-in-command	0.0432452
overseer	0.043095
choreographer	0.04278
co	0.0426918
"charter member"	0.0426269
curator	0.0424503
psychoanalyst	0.042336
"main office"	0.0421919
"chief operating officer"	0.042152
"solicitor general"	0.0418604
"postmaster general"	0.0418329
commandant	0.0411418
trustee	0.0411028
"commanding officer"	0.0410314
epidemiologist	0.0410221
player-coach	0.0409762
"fall guy"	0.040969
valedictorian	0.0408957
Weisman	0.0406127
Pediatrics	0.0406094
publicist	0.0403171
surgeon	0.0401475
))
(co-editor (desc 2116.97) (sims
coauthor	0.118705
editor-in-chief	0.11755
"new edition"	0.099768
co-director	0.0818956
co-writer	0.0806994
"chief scientist"	0.0788649
"art director"	0.0781792
perusal	0.0779153
"sports editor"	0.0762625
"managing editor"	0.0712904
"visiting professor"	0.0687329
"business editor"	0.0681734
"chairman emeritus"	0.0680288
"graphic artist"	0.0673872
co-producer	0.0661381
compiler	0.0656569
biochemist	0.0633594
ghostwriter	0.0596566
co-creator	0.059522
co-chairwoman	0.0552136
"New York Review"	0.0551386
ethicist	0.0547042
co-president	0.0545508
co-owner	0.052696
"press agent"	0.0525945
cinematographer	0.052316
co-leader	0.0521039
synopses	0.0515371
decompression	0.0511402
denier	0.0510154
Provost	0.0504538
linguist	0.0499724
aficionado	0.049822
"important person"	0.0492729
part-owner	0.0482302
madman	0.0477779
animator	0.0475538
bioethicist	0.0472712
essayist	0.0471805
proprietor	0.0470306
biophysics	0.0466774
taskmaster	0.0465011
doer	0.0460678
"dust jacket"	0.0451497
"music critic"	0.0450727
pro-choice	0.0449794
paraplegic	0.0442796
executor	0.044258
folklorist	0.0438227
perjurer	0.0435255
"research director"	0.0434137
rector	0.0433353
armful	0.0433146
"first cousin"	0.0433085
soulmate	0.0431936
co-chair	0.0428448
"management consultant"	0.0426748
"preventive medicine"	0.0426279
"first third"	0.0426199
handicapper	0.0424469
"medical officer"	0.0424212
cartoonist	0.0422751
"literary agent"	0.042166
raconteur	0.0420165
"clinical psychologist"	0.0420019
psychoanalyst	0.0411277
"Paul Allen"	0.0409518
goal-scorer	0.0408345
))
(co-funded (desc 1145.38) (sims
"joint-stock company"	0.0837334
co-organized	0.0675795
foreign-funded	0.0598325
"stock company"	0.056032
"takeover attempt"	0.0540908
co-owned	0.0524247
"first won"	0.0498756
up-front	0.0484515
self-regulation	0.0474562
meritocracy	0.0447333
"about @@ inches"	0.0444889
Railtrack	0.0424507
"Qualcomm Inc."	0.0421361
Lagardere	0.0414334
weaponization	0.0411732
))
(co-head (desc 1997.8) (sims
"banking analyst"	0.160518
"market strategist"	0.117514
"investment strategist"	0.103983
co-leader	0.0991204
co-director	0.0966371
co-president	0.0646569
underpinnings	0.0624644
cross-fertilization	0.060859
"deputy general manager"	0.0568103
"media analyst"	0.0565148
"chairman emeritus"	0.0526642
"practical application"	0.0525627
"investment officer"	0.0522323
"group president"	0.0509992
double-teamed	0.0502707
melding	0.049932
forming	0.0489666
"first two minutes"	0.0485064
"Seventy-five percent"	0.0481427
"commanding officer"	0.0464033
"deputy manager"	0.0453938
"more than three-fourths"	0.0452618
"high priest"	0.0451228
co-captain	0.0450016
optimization	0.0446154
retooling	0.0443626
cost-effectiveness	0.0439887
"about four percent"	0.0430906
streamlining	0.0425714
"visiting professor"	0.0425234
reorientation	0.0423968
soundness	0.0422281
"telecommunications analyst"	0.0417113
disbanding	0.0412502
"first Head"	0.0411384
passel	0.0411283
"About @@ per cent"	0.041123
disbandment	0.0405961
dealmaker	0.0402938
))
(co-host (desc 1752.5) (sims
co-anchor	0.11679
co-chairwoman	0.0901714
co-president	0.0846529
"St. Louis Post-Dispatch"	0.0813018
hosting	0.0623445
co-editor	0.0596355
co-producer	0.058373
cochairman	0.0569085
co-writer	0.0564925
double-teamed	0.0525244
co-creator	0.0525178
"good person"	0.0520742
co-owner	0.0517575
"center of attention"	0.051188
"second cousin"	0.0511043
chaebols	0.050816
miler	0.0500543
"important person"	0.0497096
"art director"	0.0492727
HIV-positive	0.0491187
valedictorian	0.0486327
stepchild	0.0475196
"second person"	0.0473192
"deputy sheriff"	0.0463649
"first five days"	0.0452394
screamer	0.0450848
"Austin American-Statesman"	0.0446567
carpetbagger	0.044095
"certified public accountant"	0.0438852
stewardess	0.0438433
co-captain	0.0436273
"sounding board"	0.0435052
hyper	0.0433272
"Deep Throat"	0.0431031
"New Democrat"	0.0431001
"one share"	0.042671
"first four days"	0.0426623
"hard worker"	0.0426586
"first three days"	0.0426265
pro-choice	0.0421104
"chairman emeritus"	0.042054
player-coach	0.0420343
"black person"	0.0418475
drug-free	0.0417479
"mentally retarded"	0.0416363
whistle-blower	0.0410332
"prima donna"	0.0409621
"big leaguer"	0.0405585
"black sheep"	0.0400614
))
(co-leader (desc 3080.83) (sims
TKO	0.107119
co-head	0.0991204
"technical knockout"	0.0915141
"chief scientist"	0.0723583
career-highs	0.0705936
co-leaders	0.0593877
KO	0.0593275
co-president	0.0586195
co-chair	0.0582018
knockdown	0.0568609
forming	0.0534718
co-captain	0.0528749
co-editor	0.0521039
knockout	0.0505105
"last @@ points"	0.0493832
career-high	0.0489447
"house guest"	0.0485361
"deputy sheriff"	0.0481268
co-director	0.047415
co	0.0469634
upsets	0.0469479
co-chairwoman	0.046776
career-best	0.0464345
season-high	0.0462273
co-anchor	0.0456381
youngest	0.0449376
doer	0.044109
leaderboard	0.0437734
"press agent"	0.0435722
ringleader	0.0428171
"certified public accountant"	0.0427695
cochairman	0.0425912
miler	0.0418782
co-writer	0.0417029
triple-double	0.0415759
match-up	0.0411236
"important person"	0.0410316
soaking	0.0408443
"professional golfer"	0.0408045
"legal guardian"	0.0405392
))
(co-leaders (desc 963.406) (sims
frontrunners	0.111022
spacewalkers	0.110622
B-@s	0.0820143
"No. @s"	0.0700448
pallbearer	0.0697362
Furbys	0.0675824
co-owners	0.0671743
vote-getters	0.0660655
housemates	0.0649515
Irishmen	0.0642163
"Baby Bells"	0.0641318
phenoms	0.0634727
halves	0.0624086
wideouts	0.0617541
legionnaire	0.0616542
minor-leaguers	0.0615535
crewmembers	0.0613065
crewmates	0.0608173
"Prime Ministers"	0.0607482
goaltenders	0.0603352
Christmases	0.0594306
co-leader	0.0593877
"foul shot"	0.0592288
"Final Fours"	0.0589839
par-@s	0.0588745
midfielders	0.0573203
co	0.0570053
"Texas Democrats"	0.0566302
"New York Republicans"	0.0556855
skydiver	0.0551949
co-chairmen	0.0550702
baserunners	0.0544927
prong	0.053459
megaplexes	0.0532115
Kansan	0.0530572
headliners	0.0529418
"piece of music"	0.0529268
QBs	0.0524119
upsets	0.0523001
All-Americans	0.0521999
"neutron star"	0.0510939
honoree	0.0510757
fifths	0.0507439
experimenter	0.0506844
three-pointers	0.0505348
guardsmen	0.0505066
tractor-trailers	0.0504413
"power unit"	0.0501956
"sugar refinery"	0.0496484
businesswomen	0.04964
highflier	0.0494739
billionaires	0.0492403
SIDES	0.0490195
inductees	0.0488865
parachutist	0.048761
midshipmen	0.0484874
Washingtonian	0.0483488
Klansmen	0.0483207
ruffian	0.0482544
Ohioan	0.048004
AHA	0.0479491
deepest	0.0479192
balloonist	0.0478176
feline	0.0476379
co-chairs	0.0476065
portables	0.0475254
"first third"	0.0474618
"two pitchers"	0.0474251
peregrine	0.0472617
"Special Economic Zones"	0.0471981
changeups	0.046694
"boxing glove"	0.0465338
rebounders	0.0463908
ex-convicts	0.0461661
gyro	0.046055
"Golden Bear"	0.0457299
miscreant	0.0455737
fundraisers	0.0454629
batsmen	0.0454253
provocateurs	0.0451215
"unearned run"	0.0451141
TDs	0.0450258
ump	0.0449809
non-members	0.0449681
hostage-takers	0.0447557
"British Opens"	0.0446581
co-accused	0.0445921
carmakers	0.0442513
"Oak Tree"	0.0440465
"Vin Scully"	0.0440187
castaway	0.0439725
knockdown	0.0439114
adopters	0.0437086
"sneak preview"	0.0436518
kayakers	0.043398
upperclassmen	0.0433693
"Darrell Green"	0.0433336
"Willie Clay"	0.0429781
"major-league team"	0.0428547
Frenchmen	0.0427636
minibuses	0.0426619
"murder suspect"	0.0425569
Stealers	0.0424529
"seeded player"	0.0424298
"particle accelerator"	0.0423184
"ball club"	0.0422326
"Los Angeles City Council"	0.0418498
Chevys	0.0418356
paddler	0.0417961
quarterfinalists	0.0417813
freebies	0.0415212
"New York Democrats"	0.0414126
"patrol ship"	0.0413589
Intimidator	0.0413585
Butyrskaya	0.0413316
shootouts	0.0413171
triathletes	0.0412324
collegian	0.0412216
kwanza	0.0411841
archrivals	0.04118
"Doug Pederson"	0.0408916
"break of serve"	0.0407364
skates	0.0406607
"petrol bomb"	0.0406148
signer	0.0406009
"Law Lords"	0.0405819
pliers	0.0403983
oxen	0.0403111
))
(co-manager (desc 2649.17) (sims
"lead underwriter"	0.0956438
cochairman	0.0704071
"legal guardian"	0.0553847
prospectus	0.0542706
near-collapse	0.0538827
co-counsel	0.050629
underwriter	0.0500322
co	0.0473681
co-owner	0.047036
reallocation	0.0462413
"turnover rate"	0.0452073
co-writer	0.0439729
copywriter	0.0436535
co-chairwoman	0.0432166
Harris-Lewis	0.042981
"Vanguard Group"	0.0417158
"one penny"	0.0408086
"deputy sheriff"	0.0403073
CFO	0.0402385
"asset value"	0.0400041
))
(co-op (desc 12223.4) (sims
coop	0.133773
condominium	0.119765
"town house"	0.112552
loft	0.0945501
condo	0.0932269
cooperative	0.0897906
brownstone	0.0855787
"apartment building"	0.0850108
townhouses	0.0826895
apartment	0.0810967
"Chronicle Publishing"	0.0794651
homeowner	0.0729391
"office building"	0.0693726
TYCO	0.0691324
townhouse	0.0686822
"property owner"	0.0685436
RJR	0.068002
Marketspan	0.0662331
high-rise	0.0658231
REIT	0.0650979
tenant	0.0649357
Seagram	0.0640835
COLTEC	0.0633293
corporation	0.0630525
"studio apartment"	0.0627257
Wada	0.0627087
Pharmacy	0.0610831
"Learning Co."	0.0609032
borrower	0.0607233
Comsat	0.0606178
"Times Mirror"	0.0602853
landlord	0.0600073
landowner	0.0599646
"apartment house"	0.0596404
"RJR Nabisco"	0.0591269
"Hearst Corp."	0.0585368
brokerage	0.0582345
"home buyer"	0.05816
penthouse	0.0580029
CMGI	0.0578448
"travel agency"	0.057827
"housing development"	0.0575866
"work unit"	0.0572758
tenement	0.057129
"mutual fund"	0.0569985
AutoNation	0.0568114
ALZA	0.0565357
"school district"	0.0563811
guild	0.0562446
"repair shop"	0.0562006
renter	0.0561384
"insurance company"	0.0559788
"real estate"	0.0559536
doorman	0.0559272
YPF	0.0557149
"art gallery"	0.0556449
motel	0.0556265
developer	0.0552702
GAAF	0.0551096
Mannesmann	0.0550223
Halliburton	0.0549663
"Modern Library"	0.054494
"furniture company"	0.0544104
utility	0.0542597
ATHOME	0.0542228
Copley	0.054221
YankeeNets	0.0541685
zoning	0.0541679
garage	0.0541582
MetLife	0.0539011
bed-and-breakfasts	0.0537613
lender	0.0537581
SAFY	0.0537207
sawmill	0.0535972
"National Grid"	0.0535628
retail	0.0535311
duplex	0.0534101
WebMD	0.0533714
Lycos	0.0531874
"nursing home"	0.0530849
REVLON	0.053055
"savings and loan"	0.0530195
Gazprom	0.052851
"credit union"	0.0528294
Cendant	0.0528024
"Bankers Trust"	0.0527802
"bus company"	0.0526994
supermarket	0.0524855
SLOC	0.0524168
thrift	0.052241
Housing	0.0522395
"New Covenant"	0.0521626
estate	0.0520367
"brokerage firm"	0.0519754
studio	0.0519406
DEP	0.051879
mill	0.0516876
NTL	0.0516726
"investment trust"	0.0516275
"department store"	0.0515865
"flour mill"	0.0514627
"liquor store"	0.0513385
"Barnes &AMP; Noble"	0.0513043
"Bank of Japan Ltd."	0.0512714
Lilco	0.0511332
bakery	0.0511312
retailer	0.0507649
"shopping center"	0.0506398
"jewelry store"	0.0505315
"U.S. Trust"	0.05036
"funeral home"	0.0503291
EarthLink	0.0502503
SmithKline	0.0502497
"one school"	0.0502086
"gas station"	0.0501077
Exxon	0.0500161
Villa	0.0499573
"East Village"	0.0498806
"financial institution"	0.0498159
"Y&AMP;R"	0.049725
"industrial enterprise"	0.0496224
timberland	0.049469
GANNETT	0.0494099
Sunbeam	0.049409
Compaq	0.0492666
policyholder	0.0491225
hospice	0.0488313
"real estate developer"	0.048831
examiner	0.0487746
"Telecom Italia"	0.0487626
AIG	0.0487276
"private foundation"	0.048547
"telephone company"	0.0484937
brewery	0.0484118
Paribas	0.0483949
ENTERGY	0.0483879
contractor	0.0482591
Berkshire	0.0481967
Viacom	0.0481615
Airtouch	0.0481432
"private school"	0.048112
AMC	0.0479775
"True North"	0.04794
"Union Carbide"	0.0477527
Warehouse	0.0477191
"finance company"	0.0477154
insurer	0.0476581
drugstore	0.0476222
"community newspaper"	0.0475882
"real estate broker"	0.0475597
suite	0.0475291
FPL	0.0474929
dealership	0.0473353
small-business	0.0472895
CSE	0.0472685
"beach house"	0.0472154
Biogen	0.0470974
NASD	0.0470961
off-campus	0.0470585
Woolworth	0.0470169
AGL	0.0470007
"investment fund"	0.0469976
"public school"	0.0469827
BofA	0.0469695
"San Miguel"	0.0469684
"Upper East Side"	0.0468818
"computer store"	0.0467505
"Rockefeller Center"	0.0467431
Avondale	0.0466453
"commercial bank"	0.0466387
Seagate	0.0466019
"retail store"	0.0465982
pub	0.0465226
Conoco	0.0464909
Massport	0.0464597
"Russian bank"	0.0464462
"Home Depot"	0.0464447
"food company"	0.0464382
SDL	0.0463355
NatWest	0.0462928
Nabisco	0.0462483
Monsanto	0.0462219
"Air Canada"	0.0461313
"grocery store"	0.0461097
GM	0.0460923
Mattel	0.0460546
skyscraper	0.046028
"Paramount Pictures"	0.0460245
bookstore	0.0459942
"advertising agency"	0.0459725
mall	0.0459616
auto	0.0459465
"trucking company"	0.0459053
employer	0.0458908
"post office"	0.0458115
"Film Forum"	0.0458003
Comcast	0.0457896
"Times Co."	0.0457663
"ad agency"	0.0456731
"holding company"	0.0455775
))
(co-organized (desc 3900.56) (sims
co-chaired	0.0912492
co-funded	0.0675795
well-organized	0.0628391
"eye opener"	0.0563006
held	0.052693
Exposition	0.0501563
"State Administration of Internal Trade"	0.0497722
co-owned	0.0492201
well-received	0.0460382
Non-governmental	0.045397
outhit	0.0452794
symposia	0.0434121
pursued	0.0433894
"Shanghai Municipal Government"	0.0420989
))
(co-owned (desc 3713.56) (sims
co-funded	0.0524247
outhit	0.0518237
afterword	0.0510163
co-organized	0.0492201
"Relevant Knowledge"	0.0462251
wrecker	0.0457472
SNCF	0.0433852
vote-buying	0.0400692
))
(co-owner (desc 9526.45) (sims
part-owner	0.164364
proprietor	0.101392
co-owners	0.0896221
"general manager"	0.0848084
co	0.079494
cofounder	0.0785707
co-captain	0.0745351
"art director"	0.0680902
"pitching coach"	0.0666263
co-president	0.0661556
bookkeeper	0.063935
mushrooming	0.0608633
restaurateur	0.0602693
cochairman	0.0597755
"chairman of the board"	0.0584965
editor-in-chief	0.0548972
"chief operating officer"	0.0546257
"certified public accountant"	0.0537661
"executive vice president"	0.0528892
co-editor	0.052696
co-chairman	0.0526797
"press agent"	0.0522678
"financial officer"	0.051328
"board member"	0.0512676
"senior executive"	0.0503391
"senior vice president"	0.0496889
"chairman emeritus"	0.0492479
CEO	0.0491943
co-director	0.0490696
patron	0.048884
"business editor"	0.048328
co-writer	0.0472268
co-manager	0.047036
"sales manager"	0.0465821
manger	0.0465132
coauthor	0.0464315
"talent scout"	0.0462185
"back room"	0.0458998
"executive officer"	0.0453565
"real estate agent"	0.0447899
"Black Panther"	0.044438
cellmate	0.0444343
"law partner"	0.0443557
trustee	0.0441889
"managing director"	0.0438402
"union representative"	0.0434307
philanthropist	0.0433525
"talent agent"	0.0432531
"deputy manager"	0.0432153
vaulter	0.0431723
alumnus	0.043128
"project manager"	0.0429692
"Garth Drabinsky"	0.0429407
internist	0.0427047
beautician	0.0424212
valedictorian	0.0421579
"test pilot"	0.041877
bricklayer	0.0416886
"school superintendent"	0.0416658
"chief executive officer"	0.041548
franchisee	0.0414956
cinematographer	0.0412049
executor	0.0410758
stewardess	0.0408067
"chief administrative officer"	0.0406631
dean	0.0405213
"line coach"	0.040493
"legal guardian"	0.0403617
))
(co-owners (desc 1675.93) (sims
co-owner	0.0896221
pinch-hitters	0.08821
"No. @s"	0.0824959
co-chairs	0.077821
quarterfinalists	0.0750257
QBs	0.0749913
tacklers	0.0739548
hurler	0.0697994
co-leaders	0.0671743
spacewalkers	0.0669665
vote-getters	0.0668368
minicamps	0.0658178
"minor-league team"	0.0652035
phenoms	0.0651729
Irishmen	0.0645197
ex-convicts	0.0643909
co-defendants	0.0632951
fifths	0.0632432
subspecies	0.0627966
rebounders	0.0627051
great-grandchildren	0.0624507
Klansmen	0.0624162
wideouts	0.0622237
inductees	0.0615514
"Special Economic Zones"	0.0608739
"Final Fours"	0.0607258
major-leaguers	0.0600328
minor-leaguers	0.059727
Dutchmen	0.0590461
crewmates	0.0587179
upperclassmen	0.058393
"Baby Bells"	0.0581742
crewmembers	0.0580494
"Matthew Barnaby"	0.0579818
returners	0.0577474
"radio announcer"	0.057441
metropolises	0.057347
gyro	0.0570745
co-captain	0.0554969
"credit bureau"	0.0551352
"power unit"	0.0548681
consortia	0.0546404
MiGs	0.0544395
All-stars	0.0542466
"Ryder Cups"	0.0535381
"farm club"	0.053377
"two lines"	0.0533373
gyroscope	0.0532994
"New York Republicans"	0.0530147
defensemen	0.0528112
Englishmen	0.0523977
postseasons	0.0520932
"pitching coach"	0.0520674
"target area"	0.051872
"subsidiary company"	0.0517703
abattoir	0.05174
closers	0.0515282
starts.	0.0515044
hostage-takers	0.0513812
guardsmen	0.0513707
part-owner	0.0511583
Stealers	0.0510148
SEZs	0.0506629
frontrunners	0.0506317
businesswomen	0.0499182
hypermarket	0.0498675
hottest	0.0494196
A@@@s	0.049273
"Airtouch Communications"	0.0489918
"supporting players"	0.0489636
bogy	0.048855
"starting line-up"	0.0488016
"British Opens"	0.0487185
co-chairmen	0.0478512
"major-league team"	0.0474493
"home builder"	0.0473139
nightspots	0.0470085
tenths	0.0469856
"triple play"	0.0469348
"Prime Ministers"	0.046902
"All-Star Games"	0.0468819
housemates	0.0468673
par-@s	0.0467247
planeloads	0.0466746
specialities	0.0463775
minibuses	0.0462931
"Texas Democrats"	0.0462569
"space walk"	0.0459859
"Edwin Edwards"	0.045971
no-decisions	0.0458126
drafters	0.0457765
midshipmen	0.045616
playmakers	0.0455713
"Alexei Kovalev"	0.0455294
cornerbacks	0.0454486
timeouts	0.0453781
goaltenders	0.0453722
"first unit"	0.0453351
"building society"	0.0452343
stepchildren	0.0447546
newsmagazines	0.0447425
prong	0.0446767
shootaround	0.0445586
proprietor	0.044345
nonwhites	0.0442822
schoolmate	0.0441851
seasons.	0.0437748
ECNs	0.0436836
co	0.0436572
carmakers	0.043656
"minor leaguer"	0.043489
Frenchmen	0.0434047
"business line"	0.043345
Humvees	0.0431711
"Scandinavian country"	0.0430253
panelist	0.0429629
abductor	0.0428182
archenemy	0.0428046
"agenda item"	0.0426815
"Cy Young Awards"	0.0425819
curveballs	0.042411
bagpiper	0.0423764
"Pulitzer Prizes"	0.0421134
sherpas	0.0419017
pallbearer	0.0418676
spinoffs	0.0413496
years.	0.0413169
musketeer	0.0413019
self-delusion	0.0412367
iteration	0.0411758
co-conspirator	0.0409573
rushers	0.0408199
upsets	0.0407869
"last @@ points"	0.0405852
baserunners	0.0405724
"foster child"	0.0404826
cattlemen	0.0404364
hypotheses	0.0404101
outbuilding	0.040389
"chief of state"	0.0403408
pug	0.0402951
sell-offs	0.0402886
"back office"	0.0402519
"Canadian province"	0.040227
signees	0.0402174
decision-makers	0.0401777
shipmate	0.0401347
ringleader	0.0401189
distiller	0.040096
"major leaguer"	0.0400811
"average cost"	0.040032
))
(co-payment (desc 1424.86) (sims
co-payments	0.426864
copayments	0.321628
"entrance fee"	0.212095
"admission fee"	0.210924
deductibles	0.170585
mil	0.161805
"admission price"	0.152013
"service charge"	0.14232
"user fee"	0.130987
"licensing fee"	0.126649
threshhold	0.10728
"management fee"	0.10421
surtax	0.101714
surcharge	0.100236
reimbursement	0.100028
"box seat"	0.0974681
"withholding tax"	0.0911402
"parking ticket"	0.0908223
"phone bill"	0.0900858
"income bracket"	0.0900244
"death benefit"	0.0859615
"down payment"	0.0826131
"medicare payment"	0.0817389
"sticker price"	0.0796549
GST	0.0794295
"round trip"	0.0772313
"electric bill"	0.0753479
"about $@@.@@"	0.0724827
"pay cut"	0.0722382
HARDCOVER	0.0718773
"tax bracket"	0.0716569
"wage increase"	0.0713879
"list price"	0.0713096
stipend	0.0707341
"gasoline tax"	0.0686532
increment	0.0685534
markup	0.0683164
"pay rate"	0.0681421
"ownership stake"	0.0679556
"jumping-off point"	0.0678909
millon	0.0673088
"operating cost"	0.0669955
"bus ticket"	0.0663574
"bank withdrawal"	0.0657443
"annual payment"	0.064514
"purchase price"	0.0635792
"retail price"	0.0628775
"speeding ticket"	0.0626437
"bus fare"	0.0626024
"relative humidity"	0.0625374
roundtrip	0.0621666
caseloads	0.0621151
hardback	0.0617293
"vacancy rate"	0.0609099
"insurance premium"	0.0601863
"turnover rate"	0.0600715
"loaf of bread"	0.060033
"nearly $@@,@@@"	0.0592756
"phone jack"	0.0592331
dosage	0.0590842
"import duty"	0.0585813
"occupancy rate"	0.0584105
"savings bond"	0.058395
remuneration	0.0582985
"cost structure"	0.0580737
"tax bill"	0.0580296
"center of gravity"	0.0573623
TAXES	0.0571764
"population density"	0.0571464
gratuity	0.056878
"pay raise"	0.0567123
"asking price"	0.0565993
pedicure	0.0565952
"face value"	0.0565226
"small fortune"	0.056312
"over $@,@@@"	0.0560034
"capital gains tax"	0.0553918
"excise tax"	0.0552794
outlay	0.0551285
wattage	0.0549935
"telephone bill"	0.0549549
"average cost"	0.0546188
Pe	0.054522
"anti-dumping duty"	0.0543209
octane	0.0543087
C-section	0.0537932
paralegal	0.0536311
birthrate	0.0535503
bigger	0.05328
"property tax"	0.0531996
"wage scale"	0.0531892
voltage	0.0531818
"dollar amount"	0.0528345
"pretax charge"	0.0524791
"tender offer"	0.0524453
"price list"	0.0518005
"capital expenditure"	0.0517296
"boarding pass"	0.0516938
occupancy	0.0514061
"fur coat"	0.0511435
postage	0.0506004
"a few thousand dollars"	0.0505624
paperweight	0.0505508
quorum	0.0503694
"customs duty"	0.0502264
"balanced diet"	0.0500636
"about $@.@@ million"	0.0498559
"poverty rate"	0.0497538
deductibility	0.0495524
"dividend yield"	0.0494079
croissant	0.0492552
"tax deduction"	0.0492024
"round-trip ticket"	0.0491164
"nest egg"	0.0490799
"medical bill"	0.0490482
"marketing cost"	0.0489679
"consumption tax"	0.0489423
"fertility rate"	0.0488949
latte	0.0484873
savings	0.0482239
"a few dollars"	0.0481655
"borrowing cost"	0.0481411
inhaler	0.048104
"record price"	0.0477721
"traveler's check"	0.0476302
"retirement benefit"	0.0476087
"asset value"	0.0475599
Chemo	0.0475396
"living wage"	0.0474467
"one penny"	0.0472846
"sugar refinery"	0.0471524
"burden of proof"	0.0471268
"equity interest"	0.047026
"equity stake"	0.0466577
upfront	0.0465299
"train ticket"	0.0464498
"shower curtain"	0.0461344
"price cut"	0.0460285
"nearly $@,@@@"	0.0459961
"retirement age"	0.0459286
trifecta	0.045387
"National Grid"	0.0452219
shredder	0.0451943
"Cairo International Airport"	0.0450493
"safety feature"	0.0449778
parakeet	0.0449546
knighthood	0.0448985
"labor cost"	0.0448904
shareholding	0.0447886
adapter	0.0444084
horsepower	0.0443065
grabber	0.0441585
reappraisal	0.044091
"value-added tax"	0.0440402
"offering price"	0.0440228
sachet	0.0440168
"pocket watch"	0.0438988
wristband	0.0438303
"medical exam"	0.0438076
"book value"	0.0435186
V@@	0.0434647
airfare	0.0432468
"hand tool"	0.0430293
roadmap	0.0429357
"selling price"	0.0429242
homeownership	0.0428568
"rate of exchange"	0.0427428
HDL	0.0425874
"change of direction"	0.0425439
"tax liability"	0.0424056
beeline	0.0422938
disincentive	0.0422687
"hand-held computer"	0.0422143
"body temperature"	0.0421971
"season ticket"	0.042183
salinity	0.0421719
"mortgage rate"	0.0421412
"rocket fuel"	0.0421056
Deet	0.0420687
"operating expenses"	0.0419012
"school boy"	0.0418705
walk-up	0.0414162
GPA	0.0413671
capitalisation	0.0413615
incision	0.0413607
dilution	0.0413307
"private corporation"	0.0412803
"blind spot"	0.041256
retainer	0.0411708
"pie crust"	0.0407963
Rev	0.0407371
"hospital care"	0.0407332
Fares	0.040721
"bond rating"	0.0406455
shareware	0.0404788
"secret plan"	0.0404642
dowry	0.04046
"market penetration"	0.0402854
"target area"	0.040239
Canty	0.0401815
))
(co-payments (desc 3419.85) (sims
copayments	0.488264
co-payment	0.426864
deductibles	0.288051
"entrance fee"	0.143181
"admission fee"	0.135176
premium	0.125632
reimbursement	0.114392
"admission price"	0.111277
"insurance premium"	0.100148
"management fee"	0.0908599
overcharge	0.0897456
"service charge"	0.0879323
"licensing fee"	0.0813791
"sick leave"	0.0792402
"user fee"	0.0752947
outlay	0.0749234
"marketing cost"	0.0738899
"phone bill"	0.0737359
caseloads	0.0733287
"medicare payment"	0.0729386
"electric bill"	0.0713666
"pay rate"	0.0713167
threshhold	0.070049
"import duty"	0.0691799
"cash bonus"	0.0679689
"operating cost"	0.0677825
markdowns	0.0676142
"price support"	0.0673976
"retirement age"	0.0670479
"property tax"	0.0658457
"borrowing cost"	0.0654092
"interest expense"	0.0653981
"tax credit"	0.0653152
allowance	0.0651612
"bus fare"	0.0650767
Fares	0.0648917
deduction	0.0644004
hospitalization	0.0639841
"retail price"	0.0635201
"nursing care"	0.0629551
"noise level"	0.062659
"paid vacation"	0.0625379
overpayment	0.0624142
"wage increase"	0.0623939
"customs duty"	0.062103
dosage	0.0619053
surtax	0.0618453
"Social Security benefit"	0.0613835
"excise tax"	0.0609052
"tax rate"	0.0608712
"fertility rate"	0.0608629
"inheritance tax"	0.0607233
"withholding tax"	0.0605874
markup	0.0605402
"purchase price"	0.0600831
"income bracket"	0.0597324
TAXES	0.0596936
"production cost"	0.05962
Tuition	0.0594499
"annual payment"	0.0593251
deductibility	0.0592593
"gas price"	0.0591508
"tax deduction"	0.0588346
"medical bill"	0.0584867
"death benefit"	0.0583635
"prescription drug"	0.0581176
"dollar amount"	0.0579619
"sick pay"	0.0569489
"value-added tax"	0.0566731
"transfer payment"	0.0564827
"average cost"	0.0560726
enrolment	0.0555115
"selling price"	0.055319
payouts	0.0551282
"tax bracket"	0.0548031
"price control"	0.0547776
"income tax"	0.0546026
remuneration	0.0538166
"fringe benefit"	0.0538094
"hospital care"	0.0536947
"turnover rate"	0.0534164
"gasoline tax"	0.0532878
Medicaid	0.0531465
"capital gains tax"	0.0531247
"Bill of Rights"	0.053107
"labor cost"	0.0530326
"poverty rate"	0.0527342
pricing	0.0525033
workweek	0.0520375
"occupancy rate"	0.0520147
airfare	0.0517729
HDL	0.0516821
"profit margin"	0.0515661
homeownership	0.0514032
"minimum wage"	0.0508799
"telephone bill"	0.050789
surcharge	0.0506161
"consumption tax"	0.050377
"relative humidity"	0.0500004
"operating expenses"	0.0498683
"anti-dumping duty"	0.0496983
birthrate	0.0496117
"capital expenditure"	0.0494378
"trade barrier"	0.0492232
"mortality rate"	0.0488829
"price increase"	0.0488171
salinity	0.0487897
painkiller	0.0485115
"sticker price"	0.0484673
"health insurance"	0.0483451
"job security"	0.0480133
"estate tax"	0.0479834
rebate	0.0479771
"elephant population"	0.0478964
C-section	0.047854
caseload	0.0477979
"cost of living"	0.0476164
"coca crop"	0.047231
"down payment"	0.047151
"retirement benefit"	0.0469394
"tax bill"	0.0468251
"box seat"	0.046432
added-value	0.0464282
perquisite	0.0463671
occupancy	0.0462278
complementarity	0.0459738
"body temperature"	0.0458665
"voter turnout"	0.0457906
"tax income"	0.0457394
"death tax"	0.0454267
"stamp duty"	0.0454118
joblessness	0.0453491
"tax liability"	0.0452932
"tax advantage"	0.0449989
side-effects	0.0449118
"list price"	0.044905
stipend	0.0447543
"waiting list"	0.0446742
Propecia	0.0445658
voltage	0.044449
ridership	0.0443062
"dividend payment"	0.0442757
"a few thousand dollars"	0.0441165
"housing sale"	0.0440478
"death rate"	0.0440177
"cost structure"	0.0438413
"benefit program"	0.0437992
enrollee	0.043755
mammograms	0.0437178
octane	0.0435693
"wage freeze"	0.0435318
"blood sugar"	0.0433471
absenteeism	0.0433063
"national income"	0.0433
payout	0.0432884
"jumping-off point"	0.0431842
humidity	0.0431447
"market penetration"	0.0430758
"incubation period"	0.0428643
wattage	0.0427535
"population density"	0.0426899
"living wage"	0.0426776
"promotional material"	0.042535
"disability insurance"	0.0425018
"food stamp"	0.0424125
"bid price"	0.0422798
"Export Processing Zones"	0.0422071
dividend	0.0421654
GST	0.0421569
"disability benefit"	0.0421494
"asking price"	0.0419756
"Medicare HMOs"	0.0419052
"child care"	0.0418844
density	0.0418573
"budget cut"	0.0416778
Requests	0.0416288
"blood pressure"	0.0414489
"RM@@,@@@"	0.041378
"production ceiling"	0.0413354
"speed limit"	0.0413222
"rate of growth"	0.0412384
"sleeping pill"	0.0411696
"vacancy rate"	0.0411341
Rev	0.0411327
"bank rate"	0.0410664
"burden of proof"	0.040985
"interest payment"	0.0408544
"take-home pay"	0.0408306
guidepost	0.0406069
raloxifene	0.0405083
ibuprofen	0.0403349
"personal income"	0.0400983
"pay cut"	0.0400193
))
(co-pilot (desc 6932.67) (sims
copilot	0.165982
"crew member"	0.134023
pilot	0.132642
crewman	0.115189
"flight engineer"	0.103669
crewmen	0.102222
stewardess	0.0857986
"test pilot"	0.0857084
crew	0.0833742
airmen	0.0830576
"ticket agent"	0.0817028
navigator	0.0771456
downing	0.0743025
gunner	0.073697
skydiver	0.0721045
crewmates	0.0713465
"truck driver"	0.0662014
"Cessna @@@"	0.0661703
astronaut	0.0661661
sailor	0.0661605
Batouty	0.0658315
"flight attendant"	0.0654545
occupant	0.0648679
cockpit	0.0645236
"enlisted man"	0.063912
"prison guard"	0.0634269
"naval officer"	0.0626049
"black box"	0.0619144
balloonist	0.0609739
parachutist	0.0606238
Hijacker	0.0605597
policeman	0.0603251
"Mark James"	0.0599963
Sergeant	0.0598088
"ground crew"	0.0595242
controller	0.0595029
seamen	0.0594987
mechanic	0.0589216
"Richard Ashby"	0.0585443
medic	0.0579081
"Airbus @@@"	0.0578507
"bus driver"	0.0566908
"air force officer"	0.0558247
cameraman	0.0556841
handler	0.0554466
submariner	0.0552094
shipowner	0.0536806
"horizontal stabilizer"	0.0532351
turboprop	0.0528183
miler	0.0520675
"guardian angel"	0.051869
"security guard"	0.0516934
bomber	0.0516879
undercarriage	0.0515955
"commanding officer"	0.0515518
attendant	0.05151
ex-girlfriend	0.0514487
paratrooper	0.0513879
DC-@@	0.0513463
"Flight @@@@"	0.0513218
repairmen	0.0511726
Lieutenant	0.051083
rudder	0.0507157
instructor	0.0506846
squadron	0.050635
recorder	0.0504322
Dodik	0.0504289
"arrival time"	0.0498782
Blyth	0.0495542
Colonel	0.0494721
"scuba diver"	0.0491493
passerby	0.0483161
trooper	0.0482106
diver	0.0474692
Nasrallah	0.0473545
Ledeall	0.0465929
wreckage	0.046039
servicemen	0.0459494
Solis	0.0458574
A-@@@	0.0456948
Ritter	0.0456701
Uliassi	0.0454314
B-@@	0.0454304
"mountain climber"	0.0453731
Cessna	0.0452637
lifeguard	0.0450474
storming	0.0450439
assailant	0.0450409
stowaway	0.0449331
soliders	0.0449229
cosmonaut	0.0448467
glider	0.0448102
bellhop	0.0447139
Saint-Exupery	0.0446826
"flight path"	0.0445808
"police sergeant"	0.0442105
"landing gear"	0.044125
enlistee	0.0440538
caddie	0.0440481
serviceman	0.0439954
marathoner	0.0439562
F-@@	0.0439408
"Ben Crenshaw"	0.0439212
jetliner	0.0438022
"Brian Jones"	0.0436984
Brunner	0.0436562
weatherman	0.0436504
"military officer"	0.0435892
Wilhelm	0.0435493
Reimer	0.0434707
endeavour	0.0432623
fiance	0.0432622
ensign	0.0431773
Prowler	0.0430887
Difrancesco	0.0429578
fuselage	0.0429412
cellmate	0.0428838
aviator	0.0428286
A@@@-@@@	0.0426998
dispatcher	0.0425533
fireman	0.0425362
machinist	0.0424281
Grachev	0.0424269
Gaither	0.0422399
warden	0.0421722
shipmate	0.0420893
reservist	0.0420773
"government minister"	0.0420307
gunmen	0.0419842
"brigadier general"	0.0418461
Knievel	0.0416926
DC-@	0.0415601
"army officer"	0.0415578
Evernham	0.0414849
MD-@@	0.0414755
Broaddrick	0.0413918
propeller	0.0413717
McMillan	0.0413256
stepdaughter	0.0413058
conscript	0.0412109
Imperatori	0.0411948
rescuer	0.0411746
"lieutenant colonel"	0.0410412
"Jim Harrick"	0.0410096
"electrical system"	0.0409473
helper	0.0409092
Schlessinger	0.040906
"big sister"	0.040786
miner	0.0407717
Machado	0.0407436
Moxley	0.0407198
motorist	0.0407078
Pearce	0.0406651
Atlantis	0.0406518
bodyguard	0.0406093
jackscrew	0.0405694
adventurer	0.0405462
Learjet	0.0405425
"crash landing"	0.0405152
clerk	0.0403508
commando	0.0402529
Ashby	0.0402371
MiG-@@	0.0402005
lifter	0.0401952
Seaman	0.0401377
"altar boy"	0.0400631
Postmaster	0.0400552
Shelton	0.0400313
))
(co-premier (desc 2151.45) (sims
Ranariddh	0.15448
co	0.092739
Bucaram	0.0783918
"Fob James"	0.0783211
Chaudhry	0.0729036
"Mahendra Chaudhry"	0.0704904
"Sam Rainsy"	0.0702949
Kabbah	0.0680802
strongman	0.0673529
"Biljana Plavsic"	0.0651818
"David Beasley"	0.0648922
"Idi Amin"	0.0641613
"Al D'Amato"	0.0622445
"King Norodom Sihanouk"	0.0617985
"Norodom Ranariddh"	0.0615279
Khrushchev	0.0612166
Musa	0.0607957
Wamba	0.0605337
Lissouba	0.0595368
Gargan	0.0591488
"Mobutu Sese Seko"	0.0590766
"Ferdinand Marcos"	0.0581012
"Dennis Vacco"	0.0572758
"Mohamed Siad Barre"	0.0570473
"Vladimir Meciar"	0.0567057
"P.V Narasimha Rao"	0.0558459
"Megawati Soekarnoputri"	0.0551559
"Khaleda Zia"	0.0548678
"Lauch Faircloth"	0.0542484
"Jeff Blake"	0.0528227
"Ann Richards"	0.0526058
Sandinistas	0.0525266
sultan	0.0524687
"Kim Jong-pil"	0.0515204
"Rugrats Movie"	0.0514296
Skuratov	0.0499377
"Callista Bisek"	0.0495577
FUNCINPEC	0.0495462
shah	0.049508
"Boutros Boutros Ghali"	0.0494603
"Funcinpec Party"	0.0494415
Lari	0.0479615
Aristide	0.0474478
Zhivkov	0.0473651
Coia	0.0472978
Hassan	0.0472756
"drug czar"	0.0472497
"Alfonse D'Amato"	0.0467014
looper	0.046435
Buyoya	0.0461539
"James Rogan"	0.0458536
Fabius	0.0456202
"Necmettin Erbakan"	0.0456018
"Policy Address"	0.0455571
"Secretary-General Boutros Boutros-Ghali"	0.0455274
Shui-bian	0.0449527
Neulander	0.0445881
"Lowell Weicker"	0.0445042
Megawati	0.0444879
"Tomiichi Murayama"	0.0441926
Lazarenko	0.0439366
"Jack Gargan"	0.0435847
"Paul Coverdell"	0.0434771
Eappens	0.0434698
EX-COMMUNISTS	0.0434643
"Pol Pot"	0.0432616
"Lawton Chiles"	0.0431702
"Kit Bond"	0.0422914
Mahuad	0.0418798
"Truth Commission"	0.0417508
Gaynor	0.0416762
Erbakan	0.0415725
"more than @@.@ billion yuan"	0.041388
"Softbank Corp."	0.0413636
"Helen Clark"	0.0411787
"Jenny Shipley"	0.0410954
"Carlos Menem"	0.0410796
"Ung Huot"	0.0410416
"third homer"	0.0408967
"Pandeli Majko"	0.0407603
Vieira	0.0405458
Spyridon	0.0404703
"Krishna Prasad Bhattarai"	0.0402985
Ecuadorian	0.040207
"Manuel Noriega"	0.0400265
))
(co-president (desc 2569.13) (sims
"chairman emeritus"	0.0853863
co-chairman	0.0845119
co-director	0.0788545
"charter member"	0.07479
climatologist	0.0726084
chairwoman	0.071381
"chief administrative officer"	0.0703321
co-chair	0.0693727
forming	0.0693523
co-chairmen	0.0689206
co-chairwoman	0.0666232
co-owner	0.0661556
valedictorian	0.0652642
"sounding board"	0.0651741
"big leaguer"	0.0649886
co-head	0.0646569
pallbearer	0.0626476
chairperson	0.061265
"art director"	0.0609174
scoutmaster	0.0597164
batboy	0.0589303
co-leader	0.0586195
"center of attention"	0.0585686
"legal guardian"	0.058392
co-chairs	0.0583152
co	0.0580622
"fall guy"	0.0574611
player-coach	0.0561788
cochairman	0.0556866
"chairman of the board"	0.0554562
co-editor	0.0545508
"English professor"	0.053944
"second person"	0.0539407
"executive officer"	0.0535949
"eagle scout"	0.0535913
rector	0.0535867
chairmen	0.0523689
paraplegic	0.052313
"important person"	0.0518943
"guiding light"	0.0517778
recluse	0.0517129
co-writer	0.0516722
"law partner"	0.0513758
"deputy chairman"	0.0506972
concertmaster	0.0503347
co-producer	0.0500243
"whipping boy"	0.0498708
"Deep Throat"	0.0498258
overachiever	0.0494569
miler	0.0493278
interlocutor	0.0491401
VP	0.0490675
setting-up	0.0489586
cofounder	0.0489192
"altar boy"	0.0486526
CFO	0.0485133
"press agent"	0.0481819
infantryman	0.0478808
co-captain	0.047795
secretary-treasurer	0.0474302
double-teamed	0.0474196
"certified public accountant"	0.0473507
"top dog"	0.046705
"Black Panther"	0.046543
disbandment	0.046435
vice-president	0.0463363
"associate professor"	0.0462704
punchline	0.0457782
"union representative"	0.0457242
"good person"	0.0455745
"second cousin"	0.0455526
taskmaster	0.0453945
"Jerusalem Committee"	0.0452044
Postmaster	0.0448761
second-in-command	0.0448572
"finance chief"	0.0448187
"executive secretary"	0.0448075
pro-choice	0.0446923
"deputy sheriff"	0.0445836
Beatle	0.044358
HIV-positive	0.0439858
whistle-blower	0.0438273
stewardess	0.0437912
figurehead	0.0436134
"first Head"	0.0435671
"chief scientist"	0.0433157
Deacon	0.0432634
"right-hand man"	0.0430826
copywriter	0.042974
"guardian angel"	0.0428783
organist	0.0428049
"postmaster general"	0.0426472
"black person"	0.0425211
"vice- president"	0.0424362
typecast	0.0422572
part-owner	0.0419925
hosting	0.0418832
councilwoman	0.0417141
"prime mover"	0.0416548
doer	0.0415964
vice-chairman	0.0415905
"first pitcher"	0.0415445
initiator	0.0413934
"mentally retarded"	0.0410846
monarchist	0.0409769
bigger	0.0409724
"vice chancellor"	0.0409386
"hockey coach"	0.0404507
speechwriter	0.0404346
goal-scorer	0.0403555
first-rounder	0.0403059
drug-free	0.0402061
"senior executive"	0.0401861
psychoanalyst	0.0401067
))
(co-producer (desc 3362.22) (sims
co-writer	0.178578
co-creator	0.152663
cinematographer	0.122088
co-director	0.0883336
arranger	0.0881332
writer-director	0.084652
co-star	0.0770885
screenwriter	0.0711929
"art director"	0.070537
"stage manager"	0.0701558
"first half-hour"	0.0691479
"first third"	0.0683811
"costume designer"	0.0667549
co-editor	0.0661381
coauthor	0.0656715
conceit	0.0653971
"newspaper editor"	0.0645122
"press agent"	0.0644146
"running time"	0.0635485
"Alan Ball"	0.0595597
"sports editor"	0.0583944
"John Wells"	0.0568993
lyricist	0.0565953
presenter	0.0555775
narrator	0.0541398
"bon vivant"	0.0535027
"disk jockey"	0.0525469
choreographer	0.0521867
"film maker"	0.0516418
"graphic artist"	0.0513053
co-president	0.0500243
"talent agent"	0.0497802
"world premiere"	0.0493137
archivist	0.0484169
publicist	0.0483517
editor-in-chief	0.0483073
cameraman	0.0483064
raconteur	0.0481327
stylist	0.0479815
essayist	0.0473649
"public speaker"	0.0470685
"political commissar"	0.0467178
airing	0.0467162
"Susan Stroman"	0.0466162
"leading lady"	0.0464992
"business editor"	0.0464696
proprietor	0.0459291
"Norman Lear"	0.0453456
glorification	0.0449121
"Wonderful World"	0.0445714
Triptych	0.0440689
"film producer"	0.043643
newspaperman	0.0424003
granddaddy	0.042379
co-counsel	0.0421894
co-captain	0.0421133
reworking	0.0417236
translator	0.0416566
scriptwriter	0.0413504
sendup	0.0411244
compiler	0.0410987
keyboardist	0.0410126
"chief scientist"	0.0406697
humorist	0.0406009
"Part @"	0.0405828
"set piece"	0.040152
originator	0.0400254
))
(co-production (desc 3348.19) (sims
Othello	0.0513593
damnation	0.0509879
crapshoot	0.0504222
"second tour"	0.044875
"Mighty Joe Young"	0.0438609
"Saving Private Ryan"	0.0427548
non-issue	0.0425345
"period piece"	0.0421688
whir	0.0417118
pleaser	0.0415422
"popularity contest"	0.0414353
airdrop	0.0408261
))
(co-sponsor (desc 4325.35) (sims
co-sponsors	0.229393
superpower	0.0756378
"Revised Version"	0.0732034
proponent	0.0694443
"world power"	0.0686857
"great power"	0.0675862
drafters	0.0628806
co-chairwoman	0.0581786
co-chair	0.0569208
coauthor	0.0563467
guarantor	0.0555516
facilitator	0.0532887
initiator	0.0528892
reactivation	0.0526882
co-chairmen	0.0521025
co-chairman	0.0506234
enactment	0.0492231
cochairman	0.0490851
Constitutionality	0.045595
Reauthorization	0.0444915
go-between	0.0443302
kingmaker	0.0436542
applicability	0.0436163
drafting	0.0431554
R-Iowa	0.0428131
"legal tender"	0.0421781
co-producer	0.042055
part-owner	0.0418321
wording	0.0415274
denunciation	0.0415175
co-chairs	0.0411624
"first reading"	0.0403975
))
(co-sponsors (desc 1709.66) (sims
co-sponsor	0.229393
reactivation	0.0882331
"Jerusalem Committee"	0.0881243
"major power"	0.0819481
signatory	0.079387
G-@	0.0790058
"Joint Commission"	0.0753556
guarantor	0.0709446
"Group of Eight"	0.0689052
drafters	0.0655038
co-chairs	0.0624593
"non-governmental organizations"	0.0616918
"Contact Group"	0.0610265
"UN Security Council"	0.0609392
initiator	0.060048
"dashing hopes"	0.0589209
"world power"	0.0580699
revamping	0.0560805
"Organization of African Unity"	0.0556285
undermining	0.0549418
"Council of Europe"	0.0547663
"Wolfgang Petritsch"	0.0535096
furtherance	0.0528101
"United Nations Security Council"	0.0525283
co-chairmen	0.0524635
activation	0.0522323
"great power"	0.0518261
downsides	0.051793
comprehensiveness	0.051762
"Group of Seven"	0.0513019
Almighty	0.0505644
"Unites States"	0.049922
EC	0.0492285
nullification	0.0486691
streamlining	0.0486617
nw/ls	0.0460355
UNMOVIC	0.0460215
emitter	0.0458035
"social group"	0.0456347
possessor	0.045288
"United State"	0.0452616
complainant	0.0443489
"first five days"	0.0440343
"Department of Environment"	0.043901
chaebols	0.0437261
"U.N. High Commissioner for Refugees"	0.043463
"One hundred percent"	0.0430134
convening	0.0427744
"Angolan Government"	0.0424064
"Lebanese Hezbollah"	0.0423174
"Economic Community of West African States"	0.0420433
ILO	0.0414342
"two pitchers"	0.0414297
"third week"	0.0405425
NTV	0.0404103
pursuance	0.0402577
"Common Market for Eastern and Southern Africa"	0.0400827
))
(co-star (desc 16207.8) (sims
"movie star"	0.0839622
"film star"	0.0784421
co-producer	0.0770885
co-writer	0.0673709
"leading lady"	0.0646844
actress	0.0642695
"leading man"	0.063286
actor	0.0615607
"TV star"	0.0590063
screenwriter	0.0586741
cinematographer	0.0549212
"Matt Damon"	0.0542334
collaborator	0.0498978
"Leonardo DiCaprio"	0.0488649
narrator	0.047976
ingenue	0.0476502
"young actress"	0.0471284
"best friend"	0.0470899
roommate	0.046461
companion	0.0463953
comedian	0.0462553
creator	0.045969
"character actor"	0.0459654
onscreen	0.0458273
girlfriend	0.0454182
heartthrob	0.0440945
co-creator	0.0435881
co-worker	0.0431685
heroine	0.0431172
scriptwriter	0.0430644
singer	0.0430286
lover	0.0429901
"ball club"	0.0428321
protege	0.0426598
fiancee	0.042642
presenter	0.0424656
publicist	0.0423969
classmate	0.042209
"Laurence Olivier"	0.0421802
sweetheart	0.042113
schoolmate	0.0420992
bloke	0.0419906
performer	0.0417538
idol	0.0415142
co-conspirator	0.041423
"Julia Roberts"	0.0413496
comrade	0.0412928
"law partner"	0.0411082
sidekick	0.0410061
comic	0.0409185
mistress	0.0409069
protagonist	0.0406402
"jazz musician"	0.0404105
co-defendants	0.0401531
))
(co-worker (desc 21684.6) (sims
colleague	0.145428
coworker	0.134946
classmate	0.127882
friend	0.119403
"family member"	0.116073
acquaintance	0.111795
schoolmate	0.106888
employee	0.0994803
"staff member"	0.0990439
neighbor	0.0990142
subordinate	0.0983655
shipmate	0.0967393
well-wisher	0.0955048
"fellow worker"	0.0944693
girlfriend	0.0931777
"church member"	0.0910515
associate	0.0908029
buddy	0.0902756
relative	0.0897005
roommate	0.0886745
staffer	0.0874088
Bos	0.0873896
stranger	0.0859348
peer	0.0847832
supervisor	0.0845159
teacher	0.0834114
worker	0.0822733
boss	0.0815594
counselor	0.0803122
student	0.0796477
"police officer"	0.0789704
cousin	0.078959
teammate	0.078747
constituent	0.0785512
parishioner	0.0784994
clerk	0.0784825
doctor	0.0782899
"best friend"	0.0779078
spouse	0.0769082
parent	0.0769021
boyfriend	0.076855
physician	0.0763913
bandmates	0.0763634
comrade	0.0744896
employer	0.0743145
countrymen	0.0742474
"loved one"	0.0739598
reporter	0.07353
client	0.0733631
Reader	0.0731415
juror	0.0729947
mother	0.0729223
journalist	0.0722742
husband	0.0722568
officer	0.0720954
aide	0.0720516
villager	0.0717038
patron	0.0712281
wife	0.0706386
inmate	0.0705118
manager	0.0704873
teen-ager	0.07043
lawyer	0.0704083
"Vernon Jordan"	0.0698039
housemates	0.0695592
nurse	0.0692001
anyone	0.0688568
informant	0.0687941
someone	0.0684739
fiancee	0.0679352
brother	0.0677837
crewmates	0.0675534
assistant	0.0671455
passers-by	0.0669723
daughter	0.0666293
listener	0.0665888
sister	0.0665028
intern	0.0663723
"faculty member"	0.0660811
"crew member"	0.0660493
niece	0.0658885
"prison guard"	0.0657392
firefighters	0.065738
resident	0.065716
customer	0.0656907
waiter	0.0656076
"security guard"	0.0652945
partner	0.0652527
executive	0.0651343
cellmate	0.0649162
grandchildren	0.0648877
Cop	0.0647877
agent	0.0647815
companion	0.0646101
supporter	0.0644605
folk	0.0643968
"union member"	0.0638388
"FBI agent"	0.0637377
"elected official"	0.0636159
bodyguard	0.0634615
"campaign worker"	0.063435
person	0.0631185
banker	0.0630714
everyone	0.0627022
ex-husband	0.0625797
Currie	0.0624591
great-grandchildren	0.0623871
lover	0.0622972
sibling	0.06225
guest	0.0620091
detective	0.0619942
bystander	0.0618649
boy	0.0618148
"college student"	0.0617802
fiance	0.0617608
priest	0.0616205
policemen	0.0614423
hairdresser	0.0605937
stepdaughter	0.060553
broker	0.0604826
congregants	0.06031
activist	0.0603055
"young woman"	0.0602502
stockbroker	0.0600664
admirer	0.05999
passersby	0.0599651
mentor	0.0597676
Attorney	0.0597472
visitor	0.0597381
therapist	0.0596175
grandmother	0.0596123
caller	0.0595969
trainee	0.0595234
teller	0.0595032
psychologist	0.0594611
follower	0.0594559
shopkeeper	0.0594392
scientist	0.0594283
captor	0.0593844
confidant	0.0592622
mom	0.059003
prostitute	0.0588592
in-law	0.0588091
grandparent	0.058717
patient	0.0586205
Lewinsky	0.0585579
"flight attendant"	0.0584013
ex-girlfriend	0.0582951
"union representative"	0.0582663
underling	0.058193
confidante	0.0579277
teens	0.057765
aunt	0.0577207
somebody	0.0576422
prisoner	0.0575886
servicemen	0.057587
volunteer	0.0575107
"newspaper editor"	0.0570639
pastor	0.0569987
PAL	0.0569928
lawmaker	0.0569039
exwife	0.0568877
investigator	0.0568795
collaborator	0.0568775
scout	0.0568215
legislator	0.0563762
girl	0.0563616
cashier	0.0562984
"young man"	0.0561036
survivor	0.0561015
waitress	0.0560877
seminarian	0.0560603
engineer	0.0560578
businessmen	0.0560318
driver	0.0560315
"top executive"	0.0559757
trooper	0.0559118
adviser	0.0558518
student-athletes	0.0558204
victim	0.0555879
citizen	0.0555329
"council member"	0.055425
Atlantans	0.0553023
crony	0.0552521
teenager	0.0552515
franchisees	0.0551903
attendant	0.0551818
"Linda Tripp"	0.0551556
educator	0.0551553
rabbi	0.0551514
passenger	0.0549877
personnel	0.0549731
technician	0.0548205
"board member"	0.0547856
soldier	0.0547834
"social worker"	0.0546833
townspeople	0.0546823
mourner	0.0546683
sitter	0.0546369
photographer	0.0545156
))
(co-writer (desc 2964.09) (sims
co-producer	0.178578
co-creator	0.107374
cinematographer	0.103541
screenwriter	0.0991432
coauthor	0.0896305
"art director"	0.0873158
co-editor	0.0806994
"costume designer"	0.0774903
"press agent"	0.0754353
"stage manager"	0.0725851
writer-director	0.0712937
"first third"	0.0704646
co-director	0.0704371
keyboardist	0.0655892
arranger	0.065032
"Nora Ephron"	0.0590883
artificiality	0.0561987
"Keri Russell"	0.0553307
synopses	0.0547648
flutist	0.0540859
"registered nurse"	0.0539551
"guiding light"	0.0538555
"Alan Ball"	0.0537339
cameraman	0.0537228
"leading lady"	0.0524324
"sports editor"	0.0522144
co-president	0.0516722
accompanist	0.0514702
"assistant professor"	0.0513638
editor-in-chief	0.0513539
"public speaker"	0.0510856
"George Tenet"	0.0497292
"Louis Freeh"	0.0497
neurosurgeon	0.0496348
"newspaper editor"	0.0493751
"political commissar"	0.0491701
raconteur	0.0489111
downloading	0.0486554
"Susan Stroman"	0.0482134
"music critic"	0.0479633
psychoanalyst	0.047787
adapter	0.0477303
"bon vivant"	0.0476335
"Bob Fosse"	0.0473456
co-owner	0.0472268
stylist	0.0467377
songwriter	0.0463376
Reiner	0.0462979
"sounding board"	0.0460419
conceit	0.0459692
"John Wells"	0.0457736
"English professor"	0.0456077
forman	0.0454946
"literary agent"	0.0453617
"visiting professor"	0.0453467
"law partner"	0.044726
librettist	0.0446016
"George Miller"	0.0446
"Sam Mendes"	0.0445481
"Larry Sanders Show"	0.0445219
scriptwriter	0.044314
lyricist	0.0442697
"talent scout"	0.0442477
co-manager	0.0439729
miler	0.0439208
"talent agent"	0.0438629
"love child"	0.0437258
translator	0.0436846
"associate professor"	0.0435369
schizophrenic	0.0435202
"running time"	0.0427277
copywriter	0.0426685
ingenue	0.0422396
"legal guardian"	0.0421085
presenter	0.0420729
publicist	0.042072
"important person"	0.0418256
"film producer"	0.0418064
"La Bella"	0.041785
co-leader	0.0417029
"first half-hour"	0.0414746
"executive officer"	0.0413439
"Rhodes Scholar"	0.0413001
BMI	0.0412636
makings	0.0407895
"chairman emeritus"	0.040652
"hard worker"	0.0406306
double-teamed	0.0402712
"police detective"	0.0400795
))
(co-wrote (desc 4562.62) (sims
Costner	0.0579122
"Stanley Tucci"	0.0518834
"Primary Colors"	0.047585
"Toy Story"	0.0446235
"Mickey Blue Eyes"	0.0435495
Huard	0.0433905
stole	0.0430652
"first won"	0.0429817
"Being John Malkovich"	0.0426973
EdTV	0.0426079
"Fight Club"	0.0423076
"Steve McQueen"	0.0411604
"Martin Lawrence"	0.0411001
"Toy Story @"	0.0410679
"Hollow Man"	0.0406923
"Meet Joe Black"	0.0404984
))
(Co. (desc 7701.17) (sims
Corp.	0.127827
Inc.	0.118511
Associates	0.0871186
Ltd.	0.0702267
"Cisco Systems"	0.0693179
"General Electric"	0.0630673
"Adobe Systems"	0.0621479
"American Express"	0.0616091
plc	0.0611525
WorldCom	0.0611201
"Union Carbide"	0.0607186
"Sun Microsystems"	0.0605821
"General Electric Co."	0.0599365
Dupont	0.057515
COS.	0.0557822
"Ford Motor"	0.0547007
Harrods	0.0546938
Ericsson	0.0542008
"Cisco Systems Inc."	0.0538597
"Nortel Networks"	0.0536667
"Motorola Inc."	0.052649
Merck	0.0525389
"Siemens AG"	0.0521074
"Lucent Technologies"	0.0508887
"Intel Corp."	0.0504542
Alcatel	0.0502041
"NEC Corp."	0.0501046
Albertson's	0.0495467
AstraZeneca	0.049543
Sears	0.0493609
"Dow Jones &AMP; Co."	0.0493561
"Circuit City"	0.0489591
"Microsoft Corp."	0.0487172
Ltd	0.0486788
"J.C. Penney"	0.0482069
Networks	0.0481487
"UAL Corp."	0.0481163
"Aetna Inc."	0.0478542
"EMC Corp."	0.0475542
"Staples Inc."	0.0464887
"Universal Music Group"	0.0463785
"General Motors"	0.046068
"Applied Materials"	0.0459932
"computer giant"	0.0453964
"International Symposium"	0.0453007
Qualcomm	0.0452782
emachines	0.0451488
"Canadian dollar"	0.0451404
"Hitachi Ltd."	0.0447042
"Dell Computer"	0.0446838
SGI	0.0446756
"Micron Technology"	0.0446598
Amgen	0.044514
"Mitsubishi Motors"	0.0444067
"General Motors Corp."	0.0441928
"Thomson Multimedia"	0.0439339
"Fred Meyer"	0.043664
Novell	0.0434096
Broadcom	0.0433778
Hewlett-Packard	0.0432175
"Sara Lee"	0.043171
"Computer Associates"	0.0430306
Motorola	0.0426682
"Ford Motor Company"	0.0425428
Nortel	0.0424326
Nokia	0.0424237
Biogen	0.0420802
"Conde Nast"	0.0418589
Micron	0.0417294
conglomerate	0.0416906
"Oracle Corp."	0.0416046
"Hang Seng Bank"	0.0414691
Unisys	0.0413145
Alcoa	0.0408345
Pfizer	0.0405773
"Volkswagen AG"	0.040513
"Levi Strauss &AMP; Co."	0.0404704
CompUSA	0.0404235
"Hewlett-Packard Co."	0.0402792
"Wal-Mart Stores"	0.0400598
))
(CO@ (desc 1315.13) (sims
"carbon dioxide"	0.152879
sulfur	0.104959
nitrogen	0.099549
Radon	0.0965626
carbon	0.0964111
chlorine	0.0933197
"nitrogen oxide"	0.08949
"carbon monoxide"	0.0891283
"nitrous oxide"	0.0865545
dioxide	0.0858128
tailpipe	0.0852096
electrolyte	0.0817832
fluoride	0.0794029
"water vapor"	0.0783278
hydrogen	0.0775707
"rocket fuel"	0.0771618
dioxin	0.0767469
cyanide	0.0766528
"sulfur dioxide"	0.076562
methane	0.0758611
"hydrogen peroxide"	0.0756588
hydrocarbon	0.0756451
diode	0.07507
lycopene	0.0747068
HDL	0.0729034
benzene	0.072572
LDL	0.0700694
Sulphur	0.0698449
tremolite	0.0688273
wastewater	0.0688133
soot	0.0687762
aerosol	0.0684085
ozone	0.0677767
propellant	0.0673495
sodium	0.066917
potassium	0.0662477
"elbow room"	0.0652417
cushioning	0.0649296
chromium	0.0649266
ammonia	0.0621219
caffeine	0.0615889
horsepower	0.0614594
glucose	0.0611647
"essential oil"	0.0610714
contaminant	0.0610238
"hydrogen sulfide"	0.0601082
iodine	0.0596099
"animal fat"	0.0595501
UV	0.0594423
"vitamin C"	0.0591197
arsenic	0.0580715
Calcium	0.0578672
radioactivity	0.0576611
helium	0.057495
selenium	0.0572742
voltage	0.0572026
dopamine	0.0569787
nitrate	0.0565865
MTBE	0.0562437
"vitamin D"	0.0560615
paraffin	0.0557446
"nitric oxide"	0.0547802
enzyme	0.05454
melatonin	0.0543576
refrigerant	0.0543144
phosphorus	0.0532729
pigment	0.0526469
"fuel system"	0.0520557
antioxidant	0.0518951
sedative	0.0513987
nicotine	0.0513172
caseload	0.050872
hGH	0.0507808
slurry	0.0504762
pizazz	0.0501714
"waste material"	0.0496173
leptin	0.0494354
"motor oil"	0.0489626
probationer	0.0486432
pulsing	0.048504
creatine	0.04805
oomph	0.047864
adrenalin	0.0477786
tritium	0.0477786
hemoglobin	0.0476631
cortisone	0.0475919
chalice	0.0474206
"radio wave"	0.0473196
PCBs	0.0472464
estrogen	0.0472062
"organic compound"	0.0468862
capsaicin	0.0467618
"break of serve"	0.0466183
NPLs	0.0466129
adrenaline	0.0465378
PCB	0.0465353
chloride	0.0463974
pH	0.0461513
penicillin	0.0460416
neutrino	0.045946
carcinogen	0.0459203
salinity	0.0458788
homocysteine	0.0456181
"vanilla extract"	0.0455657
calory	0.0454982
"circuit board"	0.0452643
cadmium	0.0450412
"gamma ray"	0.0449958
"food coloring"	0.0449111
"vitamin A"	0.0446928
"ground water"	0.0446427
"woman's body"	0.0445493
"fossil fuel"	0.0443312
pep	0.0441871
"Bengal tiger"	0.0440885
sludge	0.0438411
testosterone	0.0437559
"Hopman Cup"	0.0435713
"maple syrup"	0.043487
anesthetic	0.0432314
"accounting problem"	0.0430474
diffusion	0.0429013
photon	0.0428047
radium	0.0424775
"purchase order"	0.0424151
malathion	0.0422433
coolant	0.0422045
suture	0.0417282
CFCs	0.041706
wasabi	0.0416305
"human waste"	0.0411913
"dog bite"	0.0409975
"man's body"	0.0409129
methanol	0.0401209
))
(coach (desc 349790) (sims
player	0.190301
"general manager"	0.180966
manager	0.174805
assistant	0.163896
quarterback	0.154412
team	0.149722
coordinator	0.146044
fan	0.144625
owner	0.144609
teammate	0.140713
"football coach"	0.133073
"basketball coach"	0.131891
President	0.117709
guy	0.117661
captain	0.115911
director	0.114944
man	0.112091
doctor	0.109192
trainer	0.107843
scout	0.106829
starter	0.106668
official	0.106314
Parcells	0.106275
receiver	0.10502
teacher	0.104424
leader	0.103292
staff	0.103291
athlete	0.103039
Mayor	0.102811
father	0.102301
game	0.101503
star	0.101035
Governor	0.100846
member	0.100044
executive	0.0999302
parent	0.099709
"running back"	0.0991006
lawyer	0.0980374
"vice president"	0.0978208
Defense	0.096597
Bos	0.0965648
friend	0.0962957
people	0.0962676
student	0.0961848
linebacker	0.094654
pitcher	0.0945704
offense	0.0942504
someone	0.0937866
him	0.0937521
"football team"	0.0936221
guard	0.0935877
"basketball team"	0.0931186
senator	0.0926868
woman	0.0925437
Johnson	0.0924493
judge	0.0898634
kid	0.0895581
commissioner	0.0893204
agent	0.0889538
scorer	0.088802
candidate	0.0886066
administrator	0.0885707
officer	0.0881179
rookie	0.0878715
pick	0.0872166
mother	0.0870728
professor	0.0870394
veteran	0.0864138
anyone	0.0863781
politician	0.0862614
driver	0.086222
everybody	0.0861212
freshman	0.0860557
Jackson	0.0857286
everyone	0.0853475
"football player"	0.0852775
colleague	0.084197
senior	0.0839914
chief	0.0835814
Reeves	0.0833506
prosecutor	0.0831562
Republican	0.0831532
you	0.0828045
me	0.0825825
club	0.0823377
person	0.0823264
employee	0.0820181
minister	0.0818798
lawmaker	0.0818502
referee	0.0816838
anybody	0.0815314
opponent	0.0814311
roster	0.0811292
"basketball player"	0.0808368
Clinton	0.080772
lineman	0.080655
husband	0.0803618
Democrat	0.0802835
Williams	0.0801864
goalie	0.0801051
umpire	0.0799091
instructor	0.0798807
physician	0.0796269
government	0.0795866
dad	0.0793699
one	0.0792274
family	0.0791547
scientist	0.0789609
Attorney	0.0788054
league	0.0785267
bench	0.0782717
king	0.078125
resident	0.0780927
smith	0.07801
"Bill Parcells"	0.0779664
defender	0.0778542
professional	0.0777722
"free agent"	0.077702
Belichick	0.0776421
Bush	0.077531
writer	0.0772721
champion	0.0772659
reporter	0.0771445
wife	0.0771116
football	0.0770728
franchise	0.0769779
Chancellor	0.0768611
career	0.0766853
catcher	0.0765947
worker	0.0763877
Holmgren	0.0763617
journalist	0.0757993
expert	0.0754522
brother	0.0752247
chairman	0.0746799
squad	0.0744846
company	0.0743029
sophomore	0.074292
somebody	0.0742453
editor	0.0742285
police	0.0742017
gore	0.0740805
Carroll	0.0740265
Brown	0.0738472
others	0.073767
son	0.0737366
GM	0.0736146
Torre	0.0735393
partner	0.0732585
he	0.0732194
them	0.0731907
voter	0.0731363
legislator	0.0727479
Speaker	0.0725065
job	0.0725045
actor	0.0724938
us	0.072423
group	0.0722757
defensive	0.0722134
victory	0.0721094
her	0.0720278
artist	0.0719733
pilot	0.0719568
researcher	0.0718595
graduate	0.0717093
investor	0.0715634
mentor	0.0715478
secretary	0.0714798
boss	0.0709911
boy	0.0709499
coaching	0.0709031
"Michael Jordan"	0.0708765
American	0.070869
basketball	0.0707927
forward	0.0703513
author	0.0701448
"chief executive"	0.0700772
child	0.0700582
pro	0.0699966
linemen	0.0698967
junior	0.0697869
General	0.069654
"locker room"	0.0696453
supporter	0.0694441
All-American	0.0694039
native	0.0689796
administration	0.0689138
organization	0.0689013
aide	0.0688727
hitter	0.0686662
consultant	0.0685988
defenseman	0.0685854
many	0.0685574
mom	0.0684096
counselor	0.06832
Yankee	0.0680947
girl	0.0680639
patriot	0.0679784
some	0.0678855
those	0.0676235
))
(COACHES (desc 925.225) (sims
"Kevin Hartman"	0.0840859
"Kevin Malone"	0.0770799
"coaching job"	0.0744262
pinch-hitters	0.0743801
"baseball coach"	0.0740756
"Secretary of Commerce"	0.0726198
"Joel Klein"	0.0720854
D.A.	0.0718307
"Al Groh"	0.0699042
place-kicker	0.0696441
"postmaster general"	0.0685609
"Dick Jauron"	0.0671769
seasons.	0.0669103
scoutmaster	0.066427
tacklers	0.0662921
"Dennis Johnson"	0.0658501
"basketball coach"	0.065581
match-ups	0.0631574
orthopedist	0.0621582
"prosecuting attorney"	0.0605603
wallflower	0.0604303
"Paul Westphal"	0.059804
yea	0.0594482
BUSINESSES	0.0591086
"town clerk"	0.0589809
ft	0.0585026
QBs	0.0584292
marketeers	0.0579002
"foreign service officer"	0.0578902
newsgroup	0.0577553
"Jim Brown"	0.0577316
"International Herald Tribune"	0.0575697
"Texas longhorn"	0.057552
"wise man"	0.0574513
"Special Economic Zones"	0.0569682
"business editor"	0.0569401
"Mike Scioscia"	0.0565225
"state's attorney"	0.0564831
"Paul Caligiuri"	0.0562352
standouts	0.0561687
greats	0.0561489
"fire chief"	0.0556394
nearing	0.0550285
"hockey coach"	0.0550172
"school superintendent"	0.0549927
"Dwight Clark"	0.0547061
"Trevor Kidd"	0.0546166
"Brett Hinchliffe"	0.0545592
"Buddy MacKay"	0.0544582
"Stan Collymore"	0.0529404
"Bill Lann Lee"	0.052901
"talent scout"	0.0523853
bylaw	0.0523812
"Rich Brooks"	0.0519209
farmhand	0.0519161
"odds and ends"	0.0515262
"Secretary of Defense"	0.0514576
Fulham	0.0509596
rushers	0.0508887
"Tex Winter"	0.05076
"Robin Fraser"	0.0504177
"over .@@@"	0.0502831
"police sergeant"	0.0500627
"Boomer Esiason"	0.0499808
"Don Drysdale"	0.0498188
"public defender"	0.0494643
Baptists	0.0494224
sommelier	0.0485547
Beverly	0.0484503
"honorable mention"	0.0483707
Darren	0.0483645
"Walter Payton"	0.0483464
businesswomen	0.0483143
BRITNEY	0.0483135
wrapup	0.0481575
"No. @s"	0.0479277
goon	0.0478126
"Paul Silas"	0.0476988
"Bill Belichick"	0.0476766
"word of advice"	0.0474234
concertmaster	0.0472895
"private detective"	0.0471396
minor-leaguers	0.0470353
"repertory company"	0.0469828
oddsmakers	0.0469539
cabinetmaker	0.0468155
Marcia	0.0468017
Erickson	0.0466734
weatherman	0.0464974
vaulter	0.0464881
grandmaster	0.0464188
highflier	0.0463518
stuntman	0.0463157
"English teacher"	0.0461623
"stage manager"	0.0461571
All-Americans	0.0459981
off-day	0.0459519
"minor leaguer"	0.0457828
aldermen	0.0457316
Denise	0.0455538
ICM	0.0455519
TAXES	0.0455362
Immunex	0.0455304
signees	0.0454884
ghostwriter	0.0454585
"U.S. STOCKS"	0.0454091
Solis	0.0454025
hyphen	0.0452988
Rambis	0.0452906
"Kurt Rambis"	0.045262
"Oak Tree"	0.0451598
hurler	0.0451159
title-holder	0.0450975
"pass catcher"	0.045056
"Greg Vanney"	0.0448761
"chief administrative officer"	0.0447738
Iger	0.0447048
Postmaster	0.0445527
"Pedro Borbon"	0.0445154
"Doc Rivers"	0.0444426
"welfare worker"	0.044268
"Terry Collins"	0.044255
Zico	0.0442088
Jauron	0.0441624
headmaster	0.0441595
Jamal	0.0441538
"Tim Floyd"	0.0441248
porpoise	0.043966
"game warden"	0.0438529
PUSHES	0.043783
"Kevin Keegan"	0.0436966
councilwoman	0.0436658
history.	0.0435856
Lambright	0.0435186
Quentin	0.0433912
"Real Betis"	0.0433629
"basketball season"	0.0431835
"Aaron Glenn"	0.0431177
go-round	0.0431167
vote-getters	0.0430942
pimpernel	0.0430939
"line coach"	0.0430163
"private eye"	0.0429291
"Jeff Huson"	0.0429102
punter	0.0428104
"Lee Nailon"	0.0427111
junkie	0.0426844
"altar boy"	0.0426699
solicitor	0.0426337
deejays	0.0425982
"John Wooden"	0.0425838
"Frank Jobe"	0.042565
"Carlos Hermosillo"	0.0425364
"chess player"	0.0425278
"extra points"	0.0424586
"math teacher"	0.0423208
Toomer	0.0422762
Calipari	0.0421977
"won-lost record"	0.0420613
Jeremy	0.0419391
"Matt Mantei"	0.0418949
"exhibition season"	0.0417311
"John Henry"	0.0416624
coursework	0.0416405
"Secretary- General"	0.0414999
fourth-graders	0.0414744
"department head"	0.0414659
ref	0.0414459
"job offer"	0.0414358
policymaker	0.0413928
millennia	0.0413817
croquet	0.041371
Lau	0.0413701
claimer	0.0413157
"John Calipari"	0.0412045
"Jack McDowell"	0.041182
"school principal"	0.0411659
seamstress	0.0411565
"Ryder Cups"	0.0411469
"pitching coach"	0.0410992
"Mike Shanahan"	0.0410962
diehard	0.0410223
miler	0.0410139
"science teacher"	0.0410039
"Steve Largent"	0.0408093
gumshoe	0.0407125
"track star"	0.040608
USTA	0.0405593
lifer	0.040526
"Kazuhiro Sasaki"	0.0405093
Alonzo	0.0404993
vasectomy	0.0403563
Remnick	0.0403429
"Al Levine"	0.0402595
"football season"	0.0402558
"Jerry Sloan"	0.0402269
oilmen	0.040217
part-timer	0.0401215
"police lieutenant"	0.0400434
))
(coaching (desc 35839.7) (sims
teaching	0.112885
football	0.109364
basketball	0.108983
playing	0.103393
baseball	0.0970231
hockey	0.095705
Racing	0.0917566
boxing	0.0909088
golf	0.0852883
pitching	0.0847041
scouting	0.0826592
career	0.0817166
training	0.0811878
"show business"	0.0798802
job	0.0792127
writing	0.0777001
management	0.0752117
sport	0.0740937
marketing	0.0738513
officiating	0.072358
tennis	0.0720731
politics	0.072065
soccer	0.0704286
NBA	0.0701618
gardening	0.0701025
"coaching job"	0.0695396
NFL	0.0695063
learning	0.0677924
"big league"	0.067599
talent	0.0667169
education	0.0650931
Journalism	0.0649895
planning	0.0648915
umpiring	0.0647611
College	0.0639738
counseling	0.0629704
broadcasting	0.0621585
skill	0.0617964
hitting	0.0616981
campaigning	0.0615128
NHL	0.06099
schooling	0.0598246
Skating	0.0594366
nursing	0.0593297
publishing	0.059269
leadership	0.0590946
"public service"	0.0589655
doing	0.0587761
profession	0.0583689
editing	0.0583607
tutoring	0.0580664
"major league"	0.0580117
cooking	0.057976
farming	0.0576025
conditioning	0.0571611
"minor league"	0.0569726
therapy	0.0567503
postseason	0.0566417
rehab	0.0566039
athletics	0.0565258
music	0.0563209
"professional football"	0.0562664
wrestling	0.0559083
quarterback	0.0553786
homework	0.0551667
playoff	0.0549345
programming	0.0545495
eating	0.0544033
competition	0.0542959
"hard work"	0.0539892
engineering	0.0532771
reporting	0.0532469
"higher education"	0.0531859
teamwork	0.0530491
math	0.0530055
rotation	0.0528648
preparation	0.0527081
golfing	0.0525281
lifestyle	0.0522753
merchandising	0.0521428
offense	0.0519864
"foreign policy"	0.0518986
class	0.0518079
modeling	0.0513251
"Super Bowl"	0.0512602
Hollywood	0.0510698
"professional baseball"	0.0510236
All-American	0.0510189
success	0.0509562
banking	0.0508438
discipline	0.0507138
"match play"	0.0507055
enforcement	0.0505782
conducting	0.0505562
Defense	0.0505536
science	0.0505267
winning	0.0504771
assistant	0.0504635
hunting	0.0502809
Luck	0.0502368
"law enforcement"	0.0502326
"customer service"	0.0498049
research	0.0497274
retailing	0.0491953
testing	0.0490109
Advertising	0.0489735
championship	0.0488775
shopping	0.048861
care	0.0488282
bookkeeping	0.0486609
league	0.0486344
"physical therapy"	0.0485927
"decision making"	0.0485623
accomplishment	0.0485568
passer	0.0484623
hobby	0.0484378
fun	0.0482951
personality	0.0482428
diplomacy	0.048233
All-America	0.0482034
fishing	0.0481309
"medical care"	0.0480153
"professional basketball"	0.0479286
strategy	0.0479188
scheduling	0.0478432
technology	0.0478132
Chemistry	0.0477984
hiring	0.0477775
branding	0.0477135
listening	0.0476177
instruction	0.0475745
"running game"	0.0474748
woodworking	0.0474399
housekeeping	0.0474228
driving	0.0474178
fashion	0.0473277
stardom	0.0472596
figuring	0.0472046
"game plan"	0.0470553
riding	0.0470363
theater	0.0469809
fitness	0.046851
treatment	0.0466709
cycling	0.0466249
philosophy	0.0465394
evaluation	0.0464829
nutrition	0.0462488
retirement	0.0462011
"football coach"	0.0461677
tenure	0.0461093
PR	0.0460729
employment	0.0460427
safety	0.0459268
"basketball coach"	0.0459244
technique	0.0458336
governance	0.0458204
Olympics	0.0458081
medicine	0.0457425
advocacy	0.0457012
Promotion	0.0456718
living	0.0456243
cleaning	0.0455722
"real world"	0.0455313
roster	0.0455269
vacation	0.0454224
communication	0.0453553
workout	0.0453476
surfing	0.0453326
lineup	0.0453163
fielding	0.0453036
rehabilitation	0.0452845
guidance	0.0452279
rebuilding	0.045212
art	0.0451742
accounting	0.0450446
diversity	0.0450378
"military service"	0.0449656
"football player"	0.0449647
yoga	0.044809
"health care"	0.0447641
quality	0.0447377
bargaining	0.0445798
health	0.0445538
"coming back"	0.0445368
ownership	0.0445303
excellence	0.0445241
English	0.0444115
economics	0.0443767
stint	0.0443352
rivalry	0.0443316
scholarship	0.0443115
interaction	0.0442715
photography	0.0442254
"medical practice"	0.0441582
gambling	0.0441543
poetry	0.0441453
routine	0.0441355
television	0.0441322
tournament	0.0441242
skiing	0.0440668
))
("coaching job" (desc 7865.52) (sims
vacancy	0.128488
"football coach"	0.0859478
"basketball coach"	0.0783962
COACHES	0.0744262
assistant	0.0711203
directorship	0.0707866
coaching	0.0695396
ministership	0.0690406
rebounders	0.0689078
mini-camp	0.0683808
"baseball coach"	0.0679106
"running back"	0.0678069
linebacker	0.0676628
speakership	0.0666949
coordinator	0.066218
go-round	0.0652982
rushers	0.0649303
lineman	0.0647689
"basketball team"	0.063182
"job offer"	0.0625331
"basketball season"	0.0622553
"playoff game"	0.0621026
gig	0.0620781
Kicker	0.0619115
roster	0.0613613
"draft board"	0.0612535
judgeship	0.0612213
"line coach"	0.0603144
All-American	0.0602516
internship	0.0593375
tacklers	0.0590017
"football team"	0.0588423
sainthood	0.0588325
"exhibition game"	0.0586498
chairmanship	0.0583162
linemen	0.0574915
tackler	0.0568304
scholarship	0.0558564
"Cy Young Award"	0.0555477
"hockey coach"	0.0555309
goaltenders	0.0548221
"road game"	0.0540939
punter	0.0539325
captaincy	0.0538661
"basketball player"	0.0531494
"Dennis Johnson"	0.0527636
"tight end"	0.0524002
minicamp	0.0521544
"locker room"	0.0521281
valedictorian	0.0520565
officiating	0.0519355
scorer	0.0519001
defensemen	0.0512606
cornerback	0.0512543
secondary	0.050986
"Christmas present"	0.0508178
cornerbacks	0.0507182
second-worst	0.0499845
"season ticket"	0.0497025
QBs	0.0495826
"football player"	0.0495406
"home game"	0.0494147
"basketball game"	0.0488301
backcourt	0.0487102
playmakers	0.0486901
rusher	0.0479262
tryout	0.0475382
governorship	0.0475103
"role player"	0.0474671
freshman	0.047093
"June Jones"	0.046785
"hockey game"	0.0466191
"marriage proposal"	0.0464557
stardom	0.0462908
induction	0.0461294
"most valuable player"	0.0461048
goalie	0.0459956
"personnel department"	0.04535
"great year"	0.0453192
preseason	0.0452727
"graduating class"	0.0451078
rebounder	0.0443491
"pass catcher"	0.044347
passer	0.0442703
"first @@ points"	0.0442404
professorship	0.043865
defenseman	0.0438021
"game plan"	0.0435461
closers	0.0435311
"running game"	0.0434584
audition	0.0434407
Premiership	0.0433969
residency	0.0433509
standouts	0.0431789
"salary cap"	0.0430735
"Heisman Trophy"	0.0429886
timeouts	0.0429564
"Policy Address"	0.0429329
blocker	0.0427214
playbook	0.0427131
standout	0.0426684
"tour of duty"	0.0425974
trophy	0.042586
"football season"	0.0424465
jersey	0.0422247
toehold	0.0419314
"goose bumps"	0.0416441
backfield	0.0416327
first-rounder	0.0415181
"Mark Tuinei"	0.0413797
draftee	0.0413712
shooter	0.0413058
MVP	0.0412591
chum	0.0412448
"senior class"	0.0411844
"fresh start"	0.0411828
"three pitchers"	0.0409461
"order of business"	0.040921
Quad	0.0408587
coursework	0.0406786
downfield	0.040663
"leadership position"	0.0405151
"day of rest"	0.0404116
inkling	0.0401709
"English class"	0.0401039
whatsoever	0.040047
))
(Coal (desc 51665.5) (sims
"natural gas"	0.237491
"iron ore"	0.232857
petroleum	0.225841
"crude oil"	0.218879
oil	0.209256
fertilizer	0.191008
steel	0.188604
cement	0.187962
ore	0.186321
gas	0.184464
Copper	0.183881
grain	0.18163
petrochemical	0.173361
timber	0.169168
mineral	0.169164
fuel	0.165698
"building material"	0.161233
metal	0.160447
"raw material"	0.153363
"fossil fuel"	0.152516
"pig iron"	0.147535
gasoline	0.147449
bauxite	0.143688
textile	0.142948
wheat	0.142208
rubber	0.142104
cotton	0.140711
sugar	0.140152
electricity	0.138213
iron	0.138044
chemical	0.133
phosphate	0.132955
foodstuff	0.131666
goods	0.129956
"fuel oil"	0.129274
LNG	0.129174
"liquefied petroleum gas"	0.128899
"palm oil"	0.128517
rice	0.126822
lumber	0.126226
"diesel oil"	0.126018
uranium	0.125983
machinery	0.125476
automobile	0.125393
cargo	0.12382
crude	0.122913
aluminum	0.122601
Zinc	0.12208
mining	0.121888
charcoal	0.121294
diesel	0.120536
"electric power"	0.120276
waste	0.118972
diamond	0.118688
newsprint	0.117824
metallurgy	0.117358
tobacco	0.11673
product	0.115501
hydropower	0.114508
"heating oil"	0.114287
"food grain"	0.11356
maize	0.112843
commodity	0.112209
energy	0.111537
"chemical industry"	0.111346
ethylene	0.111341
freight	0.111204
garment	0.110448
petrol	0.109889
hydrocarbon	0.108906
"cashew nut"	0.108343
"precious metal"	0.107535
Garbage	0.107306
electronics	0.106523
"rare earth"	0.106276
pharmaceutical	0.106092
cobalt	0.106041
vegetable	0.10522
"mineral resource"	0.104683
manganese	0.104358
POTASH	0.104066
kerosene	0.104017
methane	0.103675
meat	0.103612
cocoa	0.103559
food	0.103178
water	0.102536
Firewood	0.101976
shipbuilding	0.101549
coffee	0.10125
Nickel	0.101002
"motor vehicle"	0.0999853
fruit	0.0999547
plastic	0.099127
"solar energy"	0.0985156
"consumer goods"	0.0982954
wool	0.0980427
ethanol	0.0977047
propane	0.0970284
agriculture	0.0969578
"natural resource"	0.0968191
"diesel fuel"	0.0967502
gold	0.0966076
urea	0.0962848
corn	0.096073
material	0.0957994
semiconductor	0.0949231
"cooking oil"	0.0934578
"precious stone"	0.0934545
soybean	0.093299
tea	0.0931097
"household appliance"	0.0931005
Gypsum	0.0928699
sugarcane	0.0928175
gemstone	0.0925304
equipment	0.0918525
cereal	0.0918297
methanol	0.0917426
"carbon dioxide"	0.0915932
Sewage	0.0915647
plutonium	0.0913888
beef	0.0907707
transportation	0.0902843
telecommunication	0.0902048
pesticide	0.0900571
Livestock	0.0895509
pulp	0.0892822
"nuclear energy"	0.0892188
appliance	0.0890573
forestry	0.0885601
"power plant"	0.0884022
vermiculite	0.088309
"wheat flour"	0.0879895
resource	0.0877558
jute	0.0877354
footwear	0.0873238
cigarette	0.0872298
fish	0.0869917
"machine tool"	0.0865364
sand	0.0862174
machine-building	0.0857778
poultry	0.0856483
milk	0.0855841
aluminium	0.0854628
lubricant	0.0846953
fiber	0.084687
medicine	0.0845688
auto	0.0843158
manufacturing	0.0840074
"sugar cane"	0.0839406
processing	0.0836355
"fish meal"	0.0834435
pork	0.083403
"food product"	0.0832838
phosphorus	0.0827241
tourism	0.0824115
"dairy product"	0.0822668
salt	0.0822449
seafood	0.0821415
crop	0.0820141
"vegetable oil"	0.0816713
"nuclear power"	0.0807522
asbestos	0.0803703
"animal husbandry"	0.0802788
flour	0.0800855
container	0.0799302
supply	0.0798788
ingot	0.0793467
wood	0.07867
"spare part"	0.0786149
export	0.078253
railway	0.0776838
banana	0.0775558
ceramic	0.0774707
Tin	0.0774498
industry	0.0773309
by-product	0.0773014
wastewater	0.0768432
beverage	0.0767928
barley	0.0767065
"steel plate"	0.0766455
"steel production"	0.0761623
silt	0.0755266
transport	0.0751119
cocaine	0.0747915
titanium	0.074583
LPG	0.0745316
import	0.0743681
Clothing	0.0743143
gem	0.0741454
manure	0.0737946
dust	0.0730618
nitrogen	0.0725874
refining	0.0725594
fishery	0.0725021
mine	0.0723474
"diesel engine"	0.072266
generator	0.0720525
"mineral water"	0.072038
bean	0.0720077
))
("coal gas" (desc 1526.01) (sims
"wind power"	0.184977
"solar energy"	0.184197
methane	0.180306
hydropower	0.160893
"solar power"	0.146955
"natural gas"	0.137211
"rare earth"	0.134526
bitumen	0.130575
POTASH	0.125864
IC	0.11839
"nuclear energy"	0.11543
LNG	0.112506
CDMA	0.107248
"Multimedia Super Corridor"	0.106189
biomass	0.104373
petroleum	0.103762
aquaculture	0.102347
biogas	0.101666
bauxite	0.100548
hydro	0.0994538
ethylene	0.0959242
"ground water"	0.0945916
phosphate	0.0924758
CFCs	0.0911446
slurry	0.090491
"iron ore"	0.0895873
"animal husbandry"	0.0894332
olestra	0.0894101
ODA	0.0892727
Caspian	0.0891761
hydrocarbon	0.0891314
"mineral resource"	0.0889689
"Strategic Petroleum Reserve"	0.0886089
Gypsum	0.087763
Internet@	0.0860687
"radio frequency"	0.0841671
"nuclear power"	0.084108
"atomic energy"	0.0833155
"Mekong River"	0.0824352
ore	0.081142
MSC	0.0790316
petrochemical	0.0786851
export-oriented	0.0784762
Wetland	0.0780169
videophone	0.0773932
"debt market"	0.0772919
NMD	0.0772089
e-business	0.0758815
forestry	0.0755558
"liquefied petroleum gas"	0.0751779
desalination	0.0751528
ecotourism	0.0744955
spaceflight	0.0720881
"electric power"	0.0719596
intranet	0.0718557
"liquefied natural gas"	0.070224
"garbage disposal"	0.0701741
SDH	0.0700677
"soil conservation"	0.0696576
bioengineering	0.0689282
Seawater	0.0688724
hGH	0.0670594
groundwater	0.066628
telemedicine	0.0663541
"five key"	0.0656177
seabed	0.0655654
TMD	0.0655447
atherosclerosis	0.0652691
LPG	0.0650401
Lumbini	0.0649359
"fiber optics"	0.0632133
medium-sized	0.0632038
melatonin	0.0626574
"computer technology"	0.0625794
"fossil fuel"	0.0625336
phosphorus	0.062269
capsaicin	0.0619315
"gas turbine"	0.0615057
telephony	0.0610937
"space vehicle"	0.0610516
"Delta @"	0.0607663
E-ZPass	0.0606146
BLUETOOTH	0.0604877
"Joint Strike Fighter"	0.0603906
Sino-French	0.0603488
"integrated circuit"	0.0603439
Sino-Russian	0.060093
Boron	0.0599954
"information science"	0.0599927
"optical fiber"	0.0599413
"billion dollar"	0.0599149
cobalt	0.0598177
electrification	0.0590954
telomerase	0.0588396
"computer language"	0.0587575
"ultraviolet light"	0.0587043
"citric acid"	0.0585267
defoliant	0.0584792
good-neighborly	0.0584042
Sinai	0.057961
hydrogen	0.0574832
automation	0.057118
"jet engine"	0.0570584
"poison gas"	0.0567771
irradiation	0.0565554
cross-Straits	0.0565
"electrical device"	0.0563814
husbandry	0.0562204
ADSL	0.0559721
"elementary education"	0.0559391
plasma	0.0559116
pronoun	0.0557164
"land resource"	0.0554102
mammography	0.0542358
"Caspian Sea"	0.0542054
"atomic bomb"	0.0541652
MSG	0.0541403
methanol	0.0539901
"e- commerce"	0.053813
supercomputer	0.0537913
conservancy	0.0536611
Microelectronics	0.0534231
A@XX	0.0530992
"chemical warfare"	0.0527922
two-digit	0.052643
"computer graphics"	0.0523471
"genetic engineering"	0.0521451
"reserve fund"	0.0521381
"billion yuan"	0.0519544
"night vision"	0.0518135
"vocational education"	0.0517699
riverfront	0.0514169
Xiaolangdi	0.0512786
"global positioning system"	0.0512279
high-yield	0.0512111
"human growth hormone"	0.0511784
"telephone network"	0.0509095
Spyglass	0.0507802
led	0.0507483
"Lincoln Bedroom"	0.0506916
personalization	0.0506482
"neutron bomb"	0.0505808
"growth hormone"	0.0504698
"communications technology"	0.0504646
sludge	0.050382
metallurgy	0.0502517
sugarcane	0.050226
"safety belt"	0.0501692
lev	0.050134
"Windows Media Player"	0.0499992
chloride	0.0498804
selenium	0.0498428
Sino-Japanese	0.0498393
"shipbuilding industry"	0.0498281
mapping	0.0498101
"million Dollar"	0.0497832
interferon	0.0496832
enhancers	0.049602
sub-regional	0.049522
Pemex	0.049439
shipbuilding	0.0493336
lastest	0.0493186
SETI	0.0492425
tritium	0.0492402
wastewater	0.0491805
wetlands	0.0491248
"particle accelerator"	0.0491127
"more than ten"	0.0491093
CAD	0.0490731
"National Missile Defense"	0.0490232
condensate	0.048914
"four @-pointers"	0.0487356
computerization	0.0486374
"Sea Launch"	0.0485432
"Market system"	0.0485106
Mekong	0.0483466
REPELLENT	0.0480176
"fuel cell"	0.0478464
"earth science"	0.0477402
Mega	0.0476672
PDA	0.0475187
platforms	0.0473611
"sugar beet"	0.0472722
interconnection	0.0472522
"labor resource"	0.0472522
"consumer credit"	0.0472206
"civil engineering"	0.04709
"pork barrel"	0.0465204
"local area network"	0.0461958
Alaskan	0.0461807
iss	0.0461248
"free zone"	0.0460733
"Roundabout Theater Company"	0.0458862
emulation	0.0458678
urea	0.0458175
"sign language"	0.0456705
Tarim	0.0456169
market-oriented	0.045569
"spy satellite"	0.0455541
"visual image"	0.0454792
))
("coal industry" (desc 6158.37) (sims
"chemical industry"	0.143139
"state enterprise"	0.124164
"electronics industry"	0.117677
agriculture	0.116721
SOEs	0.111913
"automobile industry"	0.111877
"state-owned enterprises"	0.111006
forestry	0.102725
"public security"	0.0997359
"banking industry"	0.0975696
"construction industry"	0.0972788
"higher education"	0.094734
"oil industry"	0.0922114
"shipbuilding industry"	0.0905645
mining	0.0892657
"apparel industry"	0.0870958
"Bank of Japan Ltd."	0.086661
aviation	0.0866471
"banking system"	0.0864003
"industrial enterprise"	0.0859342
"film industry"	0.0851208
fishery	0.0847524
"business sector"	0.0834818
"animal husbandry"	0.0800727
"mineral resource"	0.0799254
petrochemical	0.0787803
"Long-Term Credit Bank"	0.0778338
"civil service"	0.0759655
"Special Economic Zones"	0.07561
"space program"	0.075579
"social welfare"	0.0750776
telecommunication	0.0744363
tourism	0.0742424
railway	0.0741576
manufacturing	0.0741436
"transportation system"	0.0738211
conservancy	0.0735904
"tax system"	0.0725071
"Public Health"	0.0716896
"health service"	0.0714095
"natural resource"	0.0712022
petroleum	0.0711404
machine-building	0.0709326
transportation	0.070039
banking	0.0700083
"commercial bank"	0.0677823
"insurance market"	0.0676211
"railway system"	0.0674661
EPZs	0.0671329
"securities market"	0.0670711
"economic system"	0.0667713
ZCCM	0.0656839
parastatals	0.0655805
state-owned	0.0655277
"flood control"	0.065145
"power company"	0.0651298
"social service"	0.0648378
"telephone network"	0.0644456
"movie industry"	0.0640827
"welfare state"	0.0635699
SOE	0.0633661
"family planning"	0.0627865
"public service"	0.0626605
"arms industry"	0.0626381
"textile mill"	0.0626206
"land resource"	0.062463
"labor market"	0.0623187
farming	0.0620265
"public works"	0.0618986
aquaculture	0.0613821
commerce	0.0601128
"electric power"	0.0600821
TAZARA	0.059633
"postal service"	0.0595652
"insurance firm"	0.0593341
aerospace	0.0591576
medium-sized	0.0590299
"finance company"	0.058976
"copper mine"	0.0589378
metallurgy	0.0589366
hydropower	0.0582379
"housing industry"	0.0579844
SEZs	0.0578911
"local government"	0.0576933
"monetary system"	0.0576254
"armed forces"	0.0576232
"Daewoo Group"	0.0573281
cooperative	0.0572914
"road construction"	0.0572217
"Sub-Saharan Africa"	0.05722
conservation	0.0571379
textile	0.0570655
ecology	0.0569939
"atomic energy"	0.0568375
"school system"	0.0567382
"financial institution"	0.0567069
"power grid"	0.0566684
labour	0.0566258
"Asian nation"	0.0563658
urbanization	0.0562744
"nuclear energy"	0.0560665
"National Health Service"	0.0560389
"steel company"	0.0558998
"population control"	0.0558775
"special economic zone"	0.0551235
Coal	0.0550452
"Water Resources"	0.0549144
"mining company"	0.0547372
irrigation	0.05468
procurement	0.0546432
oceanography	0.0546393
taxation	0.0545235
"gas company"	0.0545071
"defense policy"	0.054475
"nuclear power"	0.0543338
biodiversity	0.0542015
"information technology"	0.0538208
"public utility"	0.0537328
"Foreign Trade"	0.0537202
geology	0.0534765
"medical science"	0.0532705
"water company"	0.0529879
SMEs	0.0529824
"vocational education"	0.0528694
"social assistance"	0.0526019
Amtrak	0.0525559
shipyard	0.0525038
"distribution system"	0.0523332
"building material"	0.05227
"high technology"	0.0520227
"balance of payments"	0.0519712
Telecom	0.0516901
"traffic control"	0.0516411
"car manufacturer"	0.0513452
"labor force"	0.051031
shipbuilding	0.0510157
"planning commission"	0.050919
"insurance business"	0.0508915
"small farmer"	0.0508241
electronics	0.0503162
"Zambia Consolidated Copper Mines"	0.050218
"oil refinery"	0.0499909
"Foreign Affairs"	0.0499769
defence	0.0498677
"public transport"	0.0498369
"State Education Commission"	0.0498355
"Asian country"	0.0495651
"public school"	0.0494013
"urban area"	0.0493687
railroad	0.0493529
"power system"	0.0493256
"legal system"	0.0492898
SETC	0.0492628
corporates	0.0492317
Telecoms	0.049169
"coal miner"	0.049164
"Nippon Credit Bank"	0.0490715
"bus company"	0.0489915
monarchy	0.0488977
"medical institution"	0.0488348
"national bank"	0.0486672
"Department of Trade and Industry"	0.0485162
chaebol	0.0485051
locality	0.0485012
conglomerate	0.0484628
"power plant"	0.0484451
"patent office"	0.0484244
"oil market"	0.0483383
"mass media"	0.0483108
"computer industry"	0.0481053
"China Telecom"	0.0480416
GDP	0.0480298
HHS	0.0478395
procuratorates	0.0477292
"Ministry of Foreign Trade"	0.0477171
"water system"	0.0477075
Telstra	0.0476864
mineral	0.0476218
"school district"	0.0475942
"fire control"	0.0475816
"Henan Province"	0.04754
LDCS	0.0475235
"trade policy"	0.0473576
broadcasting	0.0473182
"State Planning Commission"	0.0473056
"Public Security Ministry"	0.0472153
"pricing system"	0.0470958
"investment fund"	0.0470837
"property right"	0.0470052
"cultivated land"	0.047004
"foreign exchange market"	0.0469456
"trade balance"	0.0469071
subsector	0.046907
township	0.0468512
exporter	0.0467938
"telecommunication system"	0.0467003
refining	0.0466913
"Nissan Motor Co."	0.0465742
"parochial school"	0.0465466
Pemex	0.0464826
))
("coal miner" (desc 8445.35) (sims
miner	0.232624
steelworker	0.142037
"truck driver"	0.130391
"farm worker"	0.130072
trucker	0.124436
"union member"	0.114834
pensioner	0.114619
janitor	0.113434
"university student"	0.111233
"factory worker"	0.109776
farmer	0.109513
"dock worker"	0.109193
"Sri Lankans"	0.107594
"dairy farmer"	0.106219
farmworkers	0.102305
machinist	0.102094
peasant	0.101688
"foster child"	0.100843
reservist	0.0991606
"union worker"	0.0979615
Fishermen	0.0975594
"bus driver"	0.0967296
villager	0.0966404
"civil servant"	0.0959759
schoolchildren	0.095326
servicemen	0.0942468
"Kosovo Serbs"	0.0937868
laborer	0.0933329
protestor	0.0906215
dockworkers	0.0901506
sharecropper	0.0900901
"flight attendant"	0.0889357
Ukrainians	0.0881227
herdsmen	0.0874119
firefighters	0.0873146
"college student"	0.0870434
serviceman	0.0870097
armymen	0.0865776
Kurds	0.0863727
ex-combatants	0.0859198
airmen	0.0846911
laid-offs	0.0843535
"public servant"	0.0837629
picketers	0.0830653
autoworkers	0.082772
Honduran	0.0817646
"military man"	0.0813417
"Kosovo Albanians"	0.0810395
"military personnel"	0.0809444
"East Timorese"	0.0804916
settler	0.0804884
marcher	0.0802382
"Kosovar Albanians"	0.0799559
demonstrator	0.0797025
VMs	0.0795029
Cuban-Americans	0.0781669
Mozambican	0.0777926
squatter	0.0772848
"school teacher"	0.0772399
logger	0.0770256
landowner	0.0765417
retiree	0.0757964
"military officer"	0.0756852
Angolan	0.0754875
evacuee	0.0749667
mourner	0.0743946
soliders	0.0732172
Copt	0.0730181
grower	0.0730166
kilometre	0.0726884
missionary	0.0726566
"job seeker"	0.0724828
submariner	0.0724283
Eritrean	0.0723943
Bangladeshi	0.0722563
Teamsters	0.072245
seamen	0.0721786
"naval officer"	0.0719209
expatriate	0.0718727
Ethiopian	0.0717107
Sudanese	0.0715865
inmate	0.0714651
Iranian	0.0713037
tribesmen	0.0713003
shopkeeper	0.0706133
policemen	0.0705957
Muscovite	0.0704934
migrant	0.0703731
sailor	0.070243
worshiper	0.0701032
Haitian	0.06997
"foreign service officer"	0.0697304
policeman	0.0696812
nurse	0.0696772
"army officer"	0.0692228
postgraduate	0.0690247
"Iranian POWs"	0.0689908
Hungarian	0.0689629
civilian	0.0689456
"garment worker"	0.0689446
job-seekers	0.0688303
deserter	0.0686104
protester	0.0684959
immigrant	0.0684933
bricklayer	0.0683615
Kosovars	0.0682821
"police officer"	0.0681826
Serbs	0.0679075
"skilled worker"	0.0678017
teamster	0.0676445
Craxi	0.0675371
"senior citizen"	0.0675032
rancher	0.0673855
Georgian	0.067275
skydiver	0.0671523
Workers	0.0670806
emigrant	0.0669429
Nepalese	0.0669248
"Israeli Arabs"	0.0669095
"Greek Cypriots"	0.0667934
enumerators	0.066789
worshipper	0.0666873
"North Africans"	0.0666458
Cambodian	0.0661903
"prison guard"	0.066179
Kenyan	0.0661756
centenarian	0.0661388
"trade union"	0.0659102
orphan	0.0657463
"North Koreans"	0.0656441
cantor	0.0654578
"business executive"	0.0653863
activist	0.0653405
technician	0.0652845
Industrialist	0.0652748
businesspeople	0.0648757
townspeople	0.0646998
Lebanese	0.0646917
neo-Nazis	0.0646898
electrician	0.0645756
"Bosnian Croats"	0.0643782
motorcyclists	0.0643517
firefighter	0.0642011
pupil	0.0640358
Salvadoran	0.0638043
"government officials"	0.0637992
"South Koreans"	0.0637538
"drug addict"	0.0637482
detainee	0.0636645
pilgrim	0.0636465
asylum-seekers	0.0635862
illegals	0.0635257
"Albanian Kosovars"	0.0635135
hemophiliac	0.0634361
trainee	0.0633398
hostage-takers	0.0632553
"political prisoner"	0.0632032
Jew	0.0631554
firemen	0.0627505
"property owner"	0.0625453
well-wisher	0.0622148
"Cuban Americans"	0.0620391
"school principal"	0.0618811
schoolteacher	0.0617487
grocer	0.0616559
youngster	0.0616467
rabbi	0.0615984
"trade unionist"	0.0615412
Vietnamese	0.06154
paratrooper	0.0613908
Albanian	0.0613641
urbanites	0.0613098
Congolese	0.0612633
rioter	0.0611907
Tibetans	0.0611855
reveler	0.061136
"labor union"	0.061058
Jordanian	0.0609407
bondholder	0.0609069
parishioner	0.0608428
"power company"	0.0607713
enlistee	0.0607266
cadre	0.0606069
"fire fighter"	0.0604103
"crew member"	0.0601852
depositor	0.0600412
Ugandan	0.0598745
"Sierra Leonean"	0.0598098
"labor leader"	0.0598082
dentist	0.0597983
marine	0.0597703
plumber	0.0597534
"traveling salesman"	0.059709
slave	0.0595561
Cuban	0.0594624
vaulter	0.0593687
conscript	0.0592872
sympathizer	0.0592337
"civil rights leader"	0.0592242
militant	0.0589104
))
(Coalition (desc 115981) (sims
Alliance	0.217839
government	0.178706
party	0.178146
"Social Democrats"	0.147077
cabinet	0.145757
bloc	0.140959
opposition	0.136456
group	0.135774
"Labor Party"	0.132091
"Democratic Party"	0.130738
Likud	0.128109
"political party"	0.126536
"Liberal Democratic Party"	0.12334
organization	0.122026
faction	0.121715
"Social Democratic Party"	0.12142
union	0.119675
"Christian Democrats"	0.118439
ally	0.110951
"People's Party"	0.109557
"Socialist Party"	0.109159
"Bharatiya Janata Party"	0.106424
"Likud Party"	0.106376
federation	0.106218
"Republican Party"	0.105258
parliament	0.103729
administration	0.103416
Council	0.103244
LDP	0.102419
leadership	0.102142
"Congress Party"	0.102133
conservative	0.102029
majority	0.101835
"Communist Party"	0.101659
BJP	0.101525
association	0.101359
"Liberal Party"	0.100774
socialist	0.100654
"National Party"	0.0997488
"African National Congress"	0.0993108
movement	0.0988594
leader	0.0985423
committee	0.0984342
PRI	0.0971017
force	0.0955685
Communist	0.0929588
consortium	0.0923743
"National Front"	0.091951
army	0.0907302
Republican	0.0905847
military	0.0903557
lawmaker	0.090338
Democrat	0.087633
candidate	0.0870661
SPD	0.086915
"task force"	0.0866175
"United Front"	0.0861916
Assembly	0.0860563
labor	0.0860313
GOP	0.0860167
grouping	0.08597
campaign	0.0859323
commission	0.0853945
Congress	0.0844954
Shas	0.0840621
nationalist	0.0839805
NATO	0.0835566
"Institutional Revolutionary Party"	0.0824781
Barak	0.0811291
"trade union"	0.0805867
community	0.0802349
"labor union"	0.0800199
election	0.0800106
militia	0.0799267
hard-liner	0.0794375
legislator	0.0793256
partnership	0.0787107
delegation	0.0784686
supporter	0.0784591
society	0.078318
member	0.0783071
"Reform Party"	0.0779924
"Green Party"	0.0778651
"Liberal Democrats"	0.0778571
Confederation	0.0776425
Golkar	0.0776288
President	0.0775155
"Conservative Party"	0.0775101
state	0.0773748
Netanyahu	0.0772243
ANC	0.0771086
politician	0.0769746
regime	0.0768874
nation	0.0768058
unity	0.0767922
liberal	0.0764855
minister	0.0757755
initiative	0.0757747
"National Action Party"	0.0755805
Duma	0.0753874
country	0.0751553
Israel	0.0748792
activist	0.0747412
FUNCINPEC	0.074151
"Nepali Congress"	0.0739194
legislature	0.0738468
partner	0.0738002
Meretz	0.0733722
UNP	0.0731393
Bush	0.0725726
agency	0.0725054
rival	0.0724068
support	0.0722911
constituency	0.0718682
ministry	0.0717018
minority	0.071677
"political movement"	0.0716442
"Awami League"	0.0714003
effort	0.0713935
junta	0.0713928
panel	0.0711462
company	0.0710134
vote	0.0709774
Senate	0.0706788
authority	0.0703695
hardliner	0.0703068
plan	0.0702528
agreement	0.0698715
"federal government"	0.0698379
moderate	0.0698339
rebel	0.0696033
industry	0.0695244
accord	0.0687816
Knesset	0.0686708
"National Democratic Party"	0.0686306
pact	0.0685499
CPP	0.0685177
BNP	0.0684956
cease-fire	0.0682527
Taliban	0.0681221
office	0.0681086
Russia	0.0680294
NAACP	0.0680172
"armed forces"	0.0677078
negotiation	0.0676998
opponent	0.0676438
"working group"	0.0676197
agenda	0.0675212
foundation	0.0673938
"European Union"	0.0673847
consensus	0.0673576
rank	0.0673522
Yeltsin	0.06732
environmentalist	0.0672961
caucus	0.0671695
Majlis	0.0670267
"United Nations"	0.0667103
policy	0.0667046
board	0.0665843
establishment	0.0665527
team	0.0664633
"Bangladesh Nationalist Party"	0.066202
"National Rifle Association"	0.0661022
firm	0.0660541
reform	0.0660493
democracy	0.0659992
"steering committee"	0.0659659
talk	0.0656494
meeting	0.0654471
gore	0.0653072
cooperation	0.0652191
power	0.0650857
system	0.0648835
compromise	0.0648292
Governor	0.0648121
Kohl	0.0648064
"Benjamin Netanyahu"	0.0647474
participation	0.0646441
institution	0.0646323
peace	0.0646069
"political leader"	0.0644234
proposal	0.0644228
"local government"	0.0642184
candidacy	0.0640212
chamber	0.0638879
Palestinian	0.063808
economy	0.0637355
Tory	0.0637292
NRA	0.0636917
program	0.0636804
corporation	0.06367
McCain	0.0636465
Pataki	0.0635932
senator	0.063453
"Christian Coalition"	0.0633613
network	0.0633517
AFL-CIO	0.0632623
truce	0.0631942
business	0.063171
representative	0.0630359
))
(coast (desc 145405) (sims
shore	0.202368
coastline	0.190368
island	0.161296
"Gulf Coast"	0.153693
"East Coast"	0.142044
beach	0.135896
border	0.125239
seaboard	0.125163
mountain	0.116564
port	0.108349
region	0.10636
shoreline	0.10581
area	0.104128
plain	0.101054
Northeast	0.100234
north	0.0996606
"Great Lakes"	0.0976964
river	0.0970349
town	0.0968146
south	0.0945144
city	0.0935815
capital	0.0933621
east	0.0929873
road	0.0923776
highway	0.0915309
Appalachians	0.0912378
slope	0.0909889
Florida	0.0889481
peninsula	0.0880407
southeast	0.0880067
northwest	0.0879228
tip	0.0877586
province	0.0863882
highland	0.0862774
southwest	0.0854945
Atlantic	0.0854158
"West Coast"	0.0843591
sea	0.0837206
Vineyard	0.0834961
"Ohio Valley"	0.0834337
outskirt	0.0830834
lake	0.0823157
valley	0.0808358
village	0.0804672
west	0.0800739
countryside	0.0791258
"Gulf of Mexico"	0.0789016
"Long Island"	0.0787771
desert	0.0773652
hill	0.0772901
Gulf	0.0771218
"Nova Scotia"	0.0768121
Mediterranean	0.0759568
"Cape Cod"	0.0754951
"New England"	0.0744812
jungle	0.0741309
street	0.0740681
"Indian Ocean"	0.0736131
state	0.0734482
Midwest	0.0722982
"Puerto Rico"	0.0722619
water	0.0718056
territory	0.0715681
mainland	0.0709821
airport	0.0707326
county	0.0703343
Carolinas	0.0703336
ocean	0.0698594
resort	0.0684027
land	0.0683494
Caribbean	0.0677022
"Interstate @@"	0.0674691
California	0.0667641
"Atlantic Ocean"	0.0666421
"Pacific Northwest"	0.0661008
edge	0.066064
"Pacific Ocean"	0.0660535
district	0.0658485
pacific	0.065598
"Mississippi Valley"	0.0655356
"Black Sea"	0.0652745
Nantucket	0.0652474
"North Carolina"	0.0651976
forest	0.0650951
harbor	0.0648122
"rain forest"	0.0645404
Honduras	0.0638562
campus	0.0636577
part	0.0636491
Alaska	0.0634012
suburb	0.0631063
zone	0.0628681
plateau	0.0626843
hillside	0.0625558
Bahamas	0.0625446
"territorial water"	0.062107
earth	0.0617112
waterway	0.0608407
flank	0.0603042
route	0.0601598
farm	0.0600497
side	0.0600238
"Yangtze River"	0.0599379
Bay	0.0598074
Texas	0.0593711
Virginia	0.0591528
native	0.0585124
bank	0.0584625
frontier	0.0583595
waterfront	0.0583192
corner	0.0581919
basin	0.0580887
"South Florida"	0.0580073
archipelago	0.0579576
Hawaii	0.0579446
soil	0.0576217
"west side"	0.0573619
"foreign minister"	0.0573024
continent	0.0570096
field	0.0566883
"rural area"	0.0566588
Rockies	0.05587
surface	0.055803
ground	0.0554271
landscape	0.0554211
site	0.0552704
section	0.0552537
neighborhood	0.0549515
home	0.0541102
Maine	0.0536625
"Hudson River"	0.0533066
floor	0.053241
Georgia	0.0530905
heartland	0.0528044
Louisiana	0.0527066
resident	0.0526632
"provincial capital"	0.0525892
track	0.0525085
runway	0.052279
community	0.0518262
country	0.0518126
Pennsylvania	0.0516692
I-@@	0.0516015
"east side"	0.0515708
Grozny	0.0515582
economy	0.0515541
terrain	0.0515229
destination	0.0514613
stretch	0.0514526
"New York City"	0.0511392
"South America"	0.0509425
Siberia	0.0509422
Mississippi	0.050847
Mexico	0.0508445
prairie	0.050787
reef	0.0507755
Sky	0.0506253
volcano	0.0505036
"New York"	0.0502813
park	0.0500307
"Persian Gulf"	0.0497991
airspace	0.0497776
"trading partner"	0.049666
"New Mexico"	0.0496573
"New Jersey"	0.0495456
Massachusetts	0.0493792
"Los Angeles"	0.0493771
"main road"	0.0490858
government	0.0490466
corridor	0.0490074
Africa	0.0489069
cliff	0.0486701
line	0.04866
Oklahoma	0.0484877
rim	0.048326
front	0.0483028
center	0.0482119
swamp	0.048128
peak	0.0480448
market	0.0479156
ranch	0.0477858
Freetown	0.047654
"Staten Island"	0.0476399
downtown	0.0476366
Paris	0.0474438
canyon	0.0472434
Kinshasa	0.0472153
bridge	0.047123
Alabama	0.0470514
isle	0.046978
tour	0.0469592
enclave	0.0469512
Republic	0.0467596
China	0.0466664
Canada	0.0466397
Oregon	0.0466243
population	0.0466211
lagoon	0.0465953
Yangtze	0.0465324
hilltop	0.0465021
))
("Coast guard" (desc 22276.9) (sims
"U.S. Coast Guard"	0.261054
navy	0.174016
coastguard	0.157554
"border patrol"	0.149003
FBI	0.143531
FAA	0.142941
"Federal Aviation Administration"	0.142905
"Air Force"	0.136131
"Immigration and Naturalization Service"	0.135666
"customs service"	0.133699
police	0.131936
"Marine Corps"	0.127253
"National Transportation Safety Board"	0.122945
"Drug Enforcement Administration"	0.122222
DEA	0.119407
"National Guard"	0.11793
"Defense Department"	0.116911
"patrol boat"	0.115404
INS	0.115209
"fire department"	0.11515
ATF	0.113966
"Federal Bureau of Investigation"	0.113172
"secret service"	0.112011
NTSB	0.111087
"U.S. Air Force"	0.109452
"Interior Ministry"	0.106443
"U.S. Customs Service"	0.105428
"Justice Ministry"	0.105274
"State Department"	0.105031
"Department of Transportation"	0.104782
"Food and Drug Administration"	0.104188
airforce	0.102176
"Royal Canadian Mounted Police"	0.101963
"Air National Guard"	0.101945
EPA	0.10152
CIA	0.0997592
"military police"	0.0996667
"Department of Justice"	0.099642
army	0.0990636
"Environmental Protection Agency"	0.0989873
"federal agent"	0.0984489
"Department of Defense"	0.0983327
FDA	0.0982382
"Red Cross"	0.0977386
"Department of Public Safety"	0.097699
"Transportation Department"	0.0973598
"Federal Emergency Management Agency"	0.0969256
"Justice Department"	0.0967926
Interpol	0.0962506
military	0.0951843
"police department"	0.0944911
"U.S. Army"	0.0944714
rescuer	0.0938704
"Forest Service"	0.0930004
"Scotland Yard"	0.0929114
NASA	0.0926822
OSHA	0.0922529
"U.S. Immigration and Naturalization Service"	0.0913668
patrol	0.0911556
"Agriculture Department"	0.0907578
agency	0.0905858
"security force"	0.0904896
"Energy Department"	0.0903578
"Texas Department of Public Safety"	0.0903522
LAPD	0.090118
"merchant marine"	0.0899968
authority	0.0897454
FTC	0.0891154
"U.S. Navy"	0.0889934
"armed forces"	0.0883587
"Foreign Ministry"	0.0882749
"U.S. State Department"	0.0882583
"Health Department"	0.0870137
"Royal Navy"	0.0868871
"FBI agent"	0.0866927
"Department of Labor"	0.0865527
"Securities and Exchange Commission"	0.0864676
"Health Ministry"	0.0861418
NHTSA	0.085277
"National Highway Traffic Safety Administration"	0.0849079
RCMP	0.0845417
"National Park Service"	0.0842025
investigator	0.0838125
"Defense Ministry"	0.0836977
diver	0.083611
commando	0.0835008
"Federal Security Service"	0.0834232
IRS	0.0832299
ministry	0.0831983
"Internal Revenue Service"	0.0830035
"police boat"	0.0825393
"Federal Trade Commission"	0.0819105
IFOR	0.0816126
"Treasury Department"	0.0815493
"Department of Health"	0.0809768
warship	0.0808606
custom	0.0802953
"civil defense"	0.0801875
"naval forces"	0.0799714
marine	0.0799686
UNHCR	0.0799521
"federal government"	0.0798256
"U.S. Border Patrol"	0.0793098
"Department of Corrections"	0.0792342
"Los Angeles Police Department"	0.0789874
FEMA	0.0789756
CDC	0.0789227
gendarmerie	0.0788499
"Russian Defense Ministry"	0.0787765
SEC	0.0784015
"Consumer Product Safety Commission"	0.0783559
"Russian Foreign Ministry"	0.0780815
"U.S. Fish and Wildlife Service"	0.0780694
NRC	0.0779501
"federal official"	0.0778623
helicopter	0.0776605
"Public Security Ministry"	0.0775448
firefighters	0.0775007
officer	0.0771912
inspector	0.0768726
Pentagon	0.0768354
marshal	0.0765584
"fishing boat"	0.0764575
"National Police"	0.0762243
"fire brigade"	0.0758071
"Department of Agriculture"	0.0756298
"International Red Cross"	0.0755222
"Census Bureau"	0.0753475
"Department of Veterans Affairs"	0.0750021
"postal service"	0.074549
"Labor Ministry"	0.0739803
UNIFIL	0.0733859
"Fish and Wildlife Service"	0.0732611
regulator	0.0731595
"Interior Department"	0.0729922
"task force"	0.0727459
"Defense Agency"	0.0726714
"Education Department"	0.072524
"police force"	0.0725212
department	0.0723473
"law enforcement"	0.0723209
"Northern Fleet"	0.0721889
USDA	0.0717686
IRGC	0.0716042
SFOR	0.0715596
Fishermen	0.0713363
vessel	0.0712692
WFP	0.0708956
"Finance Ministry"	0.0700674
"Central Intelligence Agency"	0.0699563
"Royal Ulster Constabulary"	0.0698012
RAF	0.0695625
"U.S. Forest Service"	0.0694911
GSS	0.0694906
"foreign office"	0.0690833
ABRI	0.0690523
searcher	0.0690214
IDF	0.0690136
"Russian Navy"	0.0687914
"World Food Program"	0.0686296
"French Foreign Ministry"	0.0685464
"National Election Committee"	0.0684051
UNAMET	0.0683455
trooper	0.0682916
SDPC	0.0680726
"local government"	0.0680105
policemen	0.0679408
"central bank"	0.0679099
bureau	0.0677962
"Home Ministry"	0.0676992
"Department of Energy"	0.0675715
"South African National Defense Force"	0.0675575
"Army Corps"	0.0675248
FCC	0.0674788
IAEA	0.0674242
detective	0.0674195
IAF	0.0673799
TNI	0.0668657
"National Weather Service"	0.0665254
Judiciary	0.0663771
peacekeeper	0.0662551
HHS	0.0661697
FSA	0.0660943
"secret police"	0.0660713
"Occupational Safety and Health Administration"	0.0660492
troop	0.066028
U.N.	0.0658519
PNP	0.0657121
freighter	0.0656926
paramedic	0.0655568
dispatcher	0.0653897
CHP	0.0652661
"New York Police Department"	0.0650841
"general staff"	0.0650287
"Labor Department"	0.0649797
NCAA	0.0649771
Amtrak	0.0647395
"Self-Defense Forces"	0.0646527
USOC	0.064651
ECOMOG	0.0643047
))
(coast-to-coast (desc 937.503) (sims
downcourt	0.177933
downfield	0.0836256
planeload	0.0750642
"combat mission"	0.0713765
"Earth Day"	0.0703818
upfield	0.0692238
"Emmy Awards"	0.0675541
inbounds	0.0666468
B@@	0.0640068
"World Environment Day"	0.0638459
"wedding anniversary"	0.0612535
Modell	0.0591965
"female body"	0.0587108
Cessna	0.0582043
Concordes	0.0569425
"Rosh Hashana"	0.0564487
mitzvah	0.0555559
"Bastille Day"	0.0555498
Imperatori	0.055371
drivel	0.0543567
HDTV	0.0539013
"test-tube baby"	0.0538175
"Black History Month"	0.0537554
talkie	0.0534502
"space walk"	0.0531303
go-round	0.0527882
Kwanzaa	0.0527152
"Ministerial Conference"	0.0522872
"feast day"	0.0516471
RCN	0.0515247
"Veterans Day"	0.0514848
"Chinese Lunar New Year"	0.0514398
Serna	0.051271
rededication	0.0512086
"World Conference"	0.051083
playlists	0.0505743
"white flag"	0.0502338
"Baby Bell"	0.0500884
"China Airlines"	0.0499757
hole-in-one	0.0497606
nuptials	0.0492239
Juneteenth	0.0488524
"Little Dog"	0.0483434
tie-break	0.048124
"Tony Awards"	0.0479421
"Old Glory"	0.0479184
"World Youth Games"	0.0479053
Loretta	0.0471497
stateside	0.0469221
Flo	0.0468298
"double agent"	0.0466495
Roxy	0.0465971
"Subway Series"	0.0465165
POTPOURRI	0.0461153
turboprop	0.0460872
dibs	0.0460417
"bar mitzvah"	0.0456521
"Lunar New Year"	0.0456133
solstice	0.0453276
"Ung Huot"	0.0451205
"Yankee Clipper"	0.044722
"Joe Camel"	0.0446735
"New York City Marathon"	0.04464
sensitization	0.0446226
mano	0.0445646
Frenchwoman	0.0443755
"Sandra Voelker"	0.0443556
manicurist	0.0442631
stanza	0.0440862
Oktoberfest	0.0440035
Nivel	0.0438491
meritocracy	0.0437465
"atom bomb"	0.0435454
Eid	0.0431408
"white person"	0.0429413
JAT	0.0428569
communion	0.0427035
"CHARLOTTE STING"	0.0426774
pick-and-roll	0.0426342
"written language"	0.0425837
Bradshaw	0.0423493
"guessing game"	0.042326
three-and-out	0.0421031
"closed circuit"	0.0418295
junket	0.0418295
Wishbone	0.0417646
fabricator	0.0417282
"waiting game"	0.0413954
"gambling casino"	0.0409947
"Orthodox Jew"	0.0408371
glider	0.0407627
"Larry King"	0.0406659
Vidro	0.0406642
imp	0.0405329
"Bill Moyers"	0.0405184
"Edward R. Murrow"	0.0404511
rube	0.0404067
"Courtney Brown"	0.0402993
C-@	0.040147
dribbler	0.0401111
"space capsule"	0.0400267
))
("coastal plain" (desc 2297.34) (sims
"Outer Banks"	0.103821
"Dead Sea"	0.0736191
"Hainan Island"	0.0711761
lowland	0.0694241
"Long Island Sound"	0.067738
"eight kilometers"	0.0623036
"six kilometers"	0.0615226
"New Territories"	0.0609633
"hundred miles"	0.0600343
coastline	0.0600139
"Department of Motor Vehicles"	0.0581378
"Research Triangle Park"	0.0560768
"Georges Bank"	0.0560053
"NationsBank Corp."	0.0554422
estuary	0.0553615
"San Joaquin Valley"	0.0552042
"Jordan Valley"	0.0548824
"San Francisco Bay"	0.0547836
bog	0.0544853
prairie	0.0525692
meadow	0.0522675
marshland	0.0514717
seaboard	0.0511696
"Sinai Peninsula"	0.0509382
foothill	0.0507539
"Ohio River"	0.0501848
"Shas Party"	0.0501096
Piedmont	0.0498592
wetlands	0.0496484
Luzon	0.0496177
"about @@@ km"	0.049612
"about @@ km"	0.0494766
"Bay Bridge"	0.0491046
"Loess Plateau"	0.04871
woodland	0.0486457
"about five miles"	0.0485354
"Nearly @@@ miles"	0.0483779
"Riverside County"	0.048212
inlet	0.0478598
Wetland	0.0478313
panhandle	0.0474684
"Niger Delta"	0.0472613
"Big Sur"	0.0471377
highland	0.0467872
"eight miles"	0.0467523
"more than @@@ hectares"	0.0465782
flatlands	0.0465568
"mountain range"	0.0465547
"three kilometers"	0.0465002
"General Security Service"	0.0463127
Bund	0.0462587
Mylar	0.0459658
"Florida Keys"	0.04586
"Rocky Mountains"	0.0458186
"Delta State"	0.0457934
bedsheets	0.0457487
"a few kilometers"	0.0455127
"North Island"	0.0447964
cornfield	0.0444708
"Puget Sound"	0.0441532
"Bohai Bay"	0.0438257
Adriatic	0.0437633
"rain forest"	0.0437169
"body politic"	0.0436962
"nine miles"	0.0436364
"army base"	0.0435943
"about @,@@@ kilometers"	0.043332
"Rio Grande"	0.0431923
"Mediterranean Sea"	0.0431121
grassland	0.0430354
glade	0.0428242
"Caspian Sea"	0.0426313
"Gulf of Mexico"	0.0421674
shoreline	0.0421533
"Great Plains"	0.0421459
"Up to @ inches"	0.0419972
outback	0.0418561
"San Diego County"	0.0417361
Drenica	0.0417201
"Mojave Desert"	0.0416202
Badme	0.0414455
"Delaware River"	0.0413929
"Santa Clarita"	0.04127
mangrove	0.0407791
"about four miles"	0.0406563
"dairy farm"	0.0405663
"more than @@@ kilometers"	0.0404463
"Chesapeake Bay"	0.0403899
"Manila Bay"	0.0401894
))
(coaster (desc 6536.56) (sims
"roller coaster"	0.150521
Tram	0.0807812
"express train"	0.0792718
chairlift	0.0742632
trolley	0.0728854
"passenger train"	0.071719
"Ferris wheel"	0.0611833
monorail	0.0595662
merry-go-round	0.059001
"passenger ship"	0.0589762
Mini-bus	0.0588892
"container ship"	0.0578218
Passat	0.0566157
louver	0.0562004
jeep	0.0542009
truss	0.0529965
"cable car"	0.0523356
Acela	0.0515604
"theme park"	0.051015
biplane	0.0507162
sleigh	0.0503576
locomotive	0.0502376
mule	0.0492211
wagon	0.0487893
scooter	0.0487742
Goblet	0.0486405
"Miller Park"	0.048295
paperweight	0.0481855
double-decker	0.0480941
"wall hanging"	0.0480869
interceptor	0.0479905
"particle accelerator"	0.0477562
motorboat	0.0472823
Muni	0.0472363
minibus	0.0470961
"subway train"	0.0463862
"Chevrolet Monte Carlo"	0.0460611
"sailing vessel"	0.0459773
Motorcycle	0.0455631
tumbler	0.0454767
Pony	0.045433
"nuclear-powered submarine"	0.0454089
carousel	0.0453361
teapot	0.0451616
CityWalk	0.0448703
mixer	0.0446667
jeepney	0.0445234
"brokerage account"	0.044467
"amusement park"	0.0444248
Buggy	0.0441426
hatchback	0.0439512
pergola	0.0434786
Marta	0.0433041
SUVs	0.0431512
sailboat	0.0430205
"oil tanker"	0.0429246
freebie	0.0429246
tricycle	0.0429158
"Straight Talk Express"	0.0427483
skateboard	0.0426971
subway	0.0425912
bulkhead	0.0424794
bodysuits	0.0422626
"place mat"	0.0422268
pagoda	0.0421731
"jam session"	0.0421162
napkin	0.0418526
platter	0.041826
scaffold	0.0417663
Boomerang	0.0416933
planetarium	0.0416196
"Long Island Rail Road"	0.0413776
"mountain bike"	0.0413264
treehouse	0.0413233
"dining table"	0.0412232
cufflink	0.041218
"Ford Focus"	0.0409996
hovercraft	0.040948
brewery	0.0409162
Amtrak	0.0408711
"wind tunnel"	0.0408328
"suspension bridge"	0.0407685
escalator	0.0407135
ABS	0.0406774
"luxury liner"	0.0406583
Quad	0.0405737
"flight simulator"	0.0405273
"freight train"	0.0404649
timepiece	0.0404348
lantern	0.0402885
"speeding ticket"	0.0402338
))
(coastguard (desc 1000.49) (sims
"U.S. Coast Guard"	0.189139
"Coast guard"	0.157554
"U.S. Navy"	0.145277
"Russian Navy"	0.131221
"Royal Canadian Mounted Police"	0.124769
BSF	0.120978
PNP	0.117445
"Royal Navy"	0.116816
GSS	0.114281
"State Police"	0.111187
"Department of Public Safety"	0.102954
SANDF	0.0996573
"U.S. Border Patrol"	0.0994411
midlevel	0.0987022
"Public Security Ministry"	0.0975907
"merchant marine"	0.0975315
COSCO	0.0974656
KPA	0.0963354
sunken	0.0953334
"civil defense"	0.0952617
UNAMET	0.0919879
"Israeli Foreign Ministry"	0.0898501
"Scotland Yard"	0.0897912
"military police"	0.0881073
"South African National Defense Force"	0.0875936
IRGC	0.0875378
ISTAT	0.0871921
"Holland America"	0.0857626
RCMP	0.0843503
"North Korean"	0.0842243
"British Foreign Office"	0.0842223
"U.S. Immigration and Naturalization Service"	0.0836568
gendarmerie	0.0824505
OCA	0.0814486
IAF	0.0813717
AEC	0.0813001
"National Guard"	0.080502
"Royal Caribbean"	0.0797179
"U.S. Soccer Federation"	0.0795644
IEC	0.0795093
Nepa	0.0794682
RAF	0.079403
FSA	0.0785293
IFOR	0.0770838
Phoenician	0.0761939
"Defense Agency"	0.075924
"border patrol"	0.0756975
"Russian Defense Ministry"	0.0751133
TNI	0.0747029
DFB	0.0745294
"customs service"	0.0744501
foundering	0.0743031
"Russian Interior Ministry"	0.0742604
"Housing Authority"	0.0735613
CBK	0.0734041
"state highway"	0.073266
IDF	0.0729493
"Texas Department of Public Safety"	0.0723749
UNIFIL	0.0722666
"Michael Portillo"	0.0722622
NSC	0.0718311
non-American	0.0716672
"Immigration Department"	0.0713957
counterintelligence	0.070858
paratroops	0.0708225
Montenegrin	0.0707018
"Sri Lankan"	0.0703497
counterterrorism	0.0694541
"Mission Control"	0.0694156
FSB	0.0692523
"U.S. Defense Department"	0.0691994
"mess hall"	0.0689334
CIRC	0.0687638
"army engineer"	0.0682826
CHP	0.0677777
reconnaissance	0.0674247
"fire brigade"	0.0672894
"Civil Aviation Authority"	0.0671268
"Federal Security Service"	0.0670993
SSB	0.0670511
IAI	0.0669567
UPDF	0.0669422
ACOG	0.0665091
"Home Ministry"	0.0661353
"Royal Ulster Constabulary"	0.0654874
DEP	0.0651786
SDPC	0.0649965
dwt	0.0648027
"Russian Space Agency"	0.0645529
PLA	0.0645309
Agusta	0.0642819
Greenpeace	0.0641959
MI@	0.0639644
UNFICYP	0.0629441
Gendarme	0.0629071
Massport	0.0628755
inspectorate	0.0624899
"game warden"	0.061548
ABRI	0.061482
"Internal Affairs"	0.0611582
"Iranian Foreign Ministry"	0.0610517
"Airport Authority"	0.0607446
"Thai Foreign Ministry"	0.0604039
F.A	0.0601853
pontoon	0.0597078
"U.N. World Food Program"	0.059363
plainclothes	0.0589778
"Another two"	0.0589652
BSA	0.0589313
Gestapo	0.0589024
"Culture Ministry"	0.058798
SFOR	0.0586606
"Indian Air Force"	0.0583763
SAA	0.0582433
RUC	0.0578276
Cormier	0.0577745
"spelling bee"	0.0577259
"Turkish Foreign Ministry"	0.0576744
SPP	0.0575956
INEC	0.0574409
"Los Angeles Police Department"	0.0571324
"U. N."	0.0571149
"Drug Enforcement Administration"	0.0569025
TAZARA	0.0564225
UNAMSIL	0.0564224
CPSC	0.0563265
"French Foreign Ministry"	0.0562303
CAA	0.0561262
"National Police"	0.0560833
"U.S. Treasury Department"	0.0560337
"Delta Force"	0.0558267
Abkhazian	0.0558001
"Israeli Army"	0.0556364
PSG	0.0556199
CCF	0.0554604
yachtsman	0.0554346
"Truth Commission"	0.0553332
"U.S. Fed"	0.0552169
Truancy	0.0551516
"luxury liner"	0.0551494
HCFA	0.054932
Ecuadorean	0.0547573
Gurkha	0.0546149
KFOR	0.0545305
DEA	0.0543147
"Transport Ministry"	0.0543048
"Bosnian Croat"	0.0538526
"other nine"	0.0536911
"Department of Trade and Industry"	0.0534394
"Agriculture Ministry"	0.0532651
paratrooper	0.0530838
ornithologist	0.0529015
airforce	0.0527277
"fire fighter"	0.0527001
voiceover	0.0526181
NHTSA	0.0525503
EBRD	0.0525255
IEA	0.0524588
"regular army"	0.0523453
"Labor Ministry"	0.0522309
lunchroom	0.0521505
CSRC	0.0521338
"US State Department"	0.0520432
KNU	0.0519857
HKMA	0.0518841
"U.S. Air Force"	0.0518347
RRA	0.0518322
"Information Ministry"	0.051661
KONI	0.051649
"foreign office"	0.051582
"General Security Service"	0.0515616
VFW	0.0512589
DEC	0.0509253
criminologists	0.0508327
"U.S. Customs Service"	0.0507895
"Justice Ministry"	0.0507086
Holyoke	0.0507056
"South Vietnamese"	0.050445
Kazak	0.0503468
Cs	0.0503175
"patent office"	0.0502355
BLM	0.0501537
DMV	0.050119
UUP	0.0498771
Interpol	0.0498649
China.com	0.0498641
"Federal Bureau of Investigation"	0.0498312
teamster	0.0496754
DP	0.0496173
HKTA	0.0495084
"Pitt County"	0.0494165
FEMA	0.0493769
"security staff"	0.0492886
"Gulf Air"	0.0491521
CAF	0.0491359
Overnite	0.0491355
"Northern Fleet"	0.0488869
"Department of Corrections"	0.0488791
CBI	0.0488656
CalPERS	0.0487784
))
(coastline (desc 25402.3) (sims
coast	0.190368
shoreline	0.178735
shore	0.120709
seaboard	0.118303
beach	0.115567
waterway	0.114333
border	0.101242
"Gulf Coast"	0.0979275
river	0.0977974
"coral reef"	0.0967961
highway	0.0950651
forest	0.0926115
expressway	0.0914838
grassland	0.0906868
"railway line"	0.088921
countryside	0.0873195
mountain	0.0867616
lake	0.0853475
wetlands	0.082942
desert	0.0825552
"rain forest"	0.0808891
island	0.0807864
Canal	0.0801924
embankment	0.0792174
railway	0.0791262
canyon	0.0779825
ocean	0.0758548
road	0.075616
inlet	0.0751951
levee	0.0749306
ecosystem	0.0740753
wilderness	0.0739105
estuary	0.0734748
"rail line"	0.0731778
terrain	0.0729737
seashore	0.0724241
farmland	0.0723732
swamp	0.0722601
jungle	0.0717412
archipelago	0.071658
landscape	0.0712175
dike	0.0705638
roadway	0.0698346
Wetland	0.0697772
hillside	0.0694003
"transmission line"	0.0686086
"railroad track"	0.0684734
highland	0.0681351
Marsh	0.0680199
"mountain range"	0.0674036
sea	0.0672186
glacier	0.0670031
"Outer Banks"	0.066955
dyke	0.0665382
marshland	0.0660054
valley	0.0651195
prairie	0.0638255
pipeline	0.0637871
riverbank	0.0637398
seabed	0.0632025
frontier	0.0629461
"Hudson River"	0.0625295
harbor	0.0615279
woodland	0.0613696
dune	0.0611698
beachfront	0.0604774
"oil pipeline"	0.0602046
"coastal plain"	0.0600139
resort	0.059707
pasture	0.0594939
scenery	0.0592593
cliff	0.0591899
Yangtze	0.0591824
"territorial water"	0.0591807
slope	0.0589904
lagoon	0.0589174
basin	0.0587357
"trunk line"	0.0586171
freeway	0.0586094
plain	0.0585068
"Yangtze River"	0.058479
county	0.0583952
Cove	0.0578882
peninsula	0.0577771
"power line"	0.057722
village	0.057565
topography	0.0575303
"sand dune"	0.0573251
motorway	0.0573009
climate	0.056883
rail	0.0568275
reef	0.0567065
hill	0.0566301
ecology	0.0565754
Vista	0.0561605
route	0.0561407
Mediterranean	0.0561379
tundra	0.055723
reservoir	0.0554673
vegetation	0.0554608
Bay	0.0554586
corridor	0.0554451
steppe	0.0552516
savanna	0.0552474
seaport	0.0548703
"highway system"	0.054529
Lighthouse	0.0534018
panhandle	0.0532785
Grove	0.0530883
port	0.0526619
"natural resource"	0.0526447
atoll	0.0525584
habitat	0.0524614
soil	0.0524076
mountainside	0.0523518
hinterland	0.0523446
"land area"	0.0523385
Everglades	0.0522749
skyline	0.0521113
outback	0.0518747
Gulf	0.0518632
wildlife	0.0515198
"East Coast"	0.0512847
"Florida Keys"	0.0509703
expanse	0.0508956
bluff	0.0505277
swath	0.0504619
plateau	0.0502927
Sky	0.0502575
territory	0.0502167
fishery	0.0501705
"Yellow River"	0.0500416
"Delaware River"	0.0499653
"Silk Road"	0.0495575
boundary	0.0494312
"urban area"	0.0493734
"Gulf of Mexico"	0.0489574
stream	0.0488962
suburb	0.0488548
"body of water"	0.0488242
Atlantic	0.0487733
"tropical rain forest"	0.0485357
groundwater	0.0485317
volcano	0.048054
airspace	0.0480358
wasteland	0.0479742
cable	0.0476824
aquifer	0.0476681
waterfront	0.0475265
islet	0.0475214
kilometer	0.0474072
ridge	0.0473558
railroad	0.0473332
"Pacific Ocean"	0.0471014
"Atlantic Ocean"	0.0469767
"national park"	0.0469376
pacific	0.0469043
Northeast	0.0468618
rim	0.0467014
equator	0.0464003
"main road"	0.0464002
gorge	0.0463765
Caribbean	0.046218
watershed	0.0461071
tributary	0.0460201
foothill	0.0460036
"congressional district"	0.0459671
"rural area"	0.0457937
biodiversity	0.0455867
ranch	0.0455856
"Indian Ocean"	0.0454333
waterfall	0.0449805
Creek	0.0449198
tract	0.0446967
"Great Wall"	0.04443
earth	0.0443401
Vineyard	0.0441669
"mountain pass"	0.0441273
ravine	0.044002
"continental shelf"	0.043994
riverfront	0.0439691
"about @@@ kilometers"	0.043926
"labor force"	0.0438071
southeast	0.0437703
heritage	0.0433886
"beach house"	0.0433459
"Sierra Nevada"	0.0432915
southwest	0.0428127
sand	0.0425705
Alps	0.0425186
northwest	0.0424616
"land resource"	0.042427
waters	0.0421109
meadow	0.0419834
"governor's race"	0.0417053
township	0.0415709
"power grid"	0.0414065
plantation	0.0413442
"about @@ miles"	0.0412917
"population density"	0.0411048
))
(coat (desc 56175.5) (sims
jacket	0.289631
sweater	0.237632
shirt	0.229257
overcoat	0.212572
skirt	0.21221
dress	0.201354
pant	0.199399
trouser	0.195695
vest	0.184992
tunic	0.179364
robe	0.177493
hat	0.175738
"leather jacket"	0.169366
blouse	0.16574
scarf	0.165229
raincoat	0.160817
jean	0.160647
parka	0.159294
turtleneck	0.156161
shoe	0.15489
gown	0.154709
sweatshirt	0.153522
T-shirt	0.150283
cloth	0.147512
suit	0.147492
boot	0.147414
pullover	0.146035
sock	0.141905
Poncho	0.141572
sandal	0.139065
shawl	0.136773
blazer	0.135705
"trench coat"	0.134625
sunglasses	0.133839
cardigan	0.132961
"blue jean"	0.132095
beret	0.129866
pants	0.128691
trousers	0.128047
apron	0.127381
uniform	0.125715
slack	0.125296
"cowboy hat"	0.125017
wig	0.124155
loafer	0.122999
"baseball cap"	0.122486
"pants suit"	0.122448
sleeve	0.122089
handbag	0.121829
jumpsuit	0.121656
"fur coat"	0.121163
tuxedo	0.11862
blanket	0.117781
waistcoat	0.116645
collar	0.115619
"polo shirt"	0.11535
khaki	0.114855
Clothing	0.113095
sneaker	0.112805
Cape	0.112754
pajama	0.111462
knickers	0.110936
windbreaker	0.110805
mitten	0.110542
jersey	0.10926
tights	0.109116
fur	0.10823
"dress shirt"	0.107893
pantsuit	0.107775
"sports jacket"	0.107504
camisole	0.107181
necktie	0.107118
glove	0.106912
"evening gown"	0.106451
"cowboy boot"	0.106293
cap	0.10592
"business suit"	0.105813
mask	0.104195
bag	0.104141
kimono	0.103273
hair	0.102637
"bathing suit"	0.102282
bra	0.102023
helmet	0.10197
Outfit	0.100603
fedora	0.10059
fabric	0.0997597
suspender	0.0997256
underwear	0.0996045
smock	0.0993985
"tennis shoe"	0.0978284
layer	0.0967287
sheath	0.0954579
"top hat"	0.0952736
slipper	0.09479
legging	0.0946556
earring	0.093351
bathrobe	0.0933204
costume	0.0927921
corset	0.0926959
bikini	0.0925323
silk	0.0916742
turban	0.0915998
backpack	0.0915414
"straw hat"	0.0914464
"bow tie"	0.0913163
"sport shirt"	0.0910022
headband	0.0906544
headdress	0.0905805
leather	0.0903907
veil	0.0900583
garment	0.0897213
"ski mask"	0.0896433
cloak	0.088893
halter	0.0886926
belt	0.0886544
garb	0.0882549
"hot pants"	0.0880191
satin	0.0870347
quilt	0.0867344
"dark glasses"	0.0865743
miniskirts	0.086386
Beard	0.0861674
kilt	0.0860315
slacks	0.085796
velvet	0.0849931
stocking	0.0844795
"running shoe"	0.0841411
necklace	0.0840769
corduroy	0.0839873
bodice	0.0831667
linen	0.082586
Sari	0.0822765
color	0.0822159
denim	0.0820936
"mink coat"	0.0816949
skin	0.081569
shorts	0.0807489
sheet	0.0804954
"cocktail dress"	0.080155
"hard hat"	0.0798693
jewelry	0.0797608
coverall	0.0795684
sportswear	0.0787188
pillow	0.0785506
"feather boa"	0.0782172
shade	0.0779662
towel	0.0778122
bandana	0.0776824
wool	0.0776322
mustache	0.0773895
paint	0.0772615
coating	0.0772442
top	0.0766986
undershirt	0.0762276
lipstick	0.0760832
bandanna	0.0760783
swimsuit	0.0756678
camouflage	0.0751923
stripe	0.0750823
frock	0.0745226
handkerchief	0.0745185
accessory	0.0742163
underpants	0.0740207
"life jacket"	0.074013
tablecloth	0.0738383
short	0.0738119
glass	0.073612
nightgown	0.073586
carpet	0.0733666
wrap	0.0730556
briefcase	0.0729656
ribbon	0.0715528
rug	0.0714931
plaid	0.0714719
"evening dress"	0.0713865
tweed	0.0711972
chiffon	0.0711455
tarp	0.071088
cashmere	0.0707731
purse	0.0706767
Hood	0.0698694
gear	0.0697627
plastic	0.0696574
goggles	0.0694921
gloves	0.0686447
stain	0.0684833
Bonnet	0.0684251
lace	0.0683028
tile	0.0682237
ponytail	0.0680827
pouch	0.0677934
blue	0.0677587
attire	0.067507
duster	0.0672347
suede	0.0671467
pair	0.0670841
bead	0.0669145
Sash	0.0667062
"tote bag"	0.0666002
))
("coat of arms" (desc 2000.87) (sims
livery	0.0904594
"national flag"	0.0775201
"Confederate flag"	0.0674421
effigy	0.0612258
insignia	0.0593697
swastika	0.0588237
"Bengal tiger"	0.0585005
"white flag"	0.055656
"flower arrangement"	0.0539501
bunting	0.0534646
crucifix	0.052758
Canty	0.052179
skylight	0.0517834
Crescent	0.0517391
nameplate	0.0515067
"license plate"	0.0510748
breadwinner	0.0496604
"black sheep"	0.0486492
numeral	0.0484995
"black flag"	0.0472464
cohesiveness	0.0470917
lineage	0.0468815
"Idi Amin"	0.046721
"art collection"	0.0457537
bauhinia	0.0454798
fides	0.0453902
"national anthem"	0.0449366
"identification number"	0.0448027
headdress	0.0439495
shindig	0.0439066
pompom	0.0437885
genealogy	0.0435373
cowbell	0.0434904
psychodrama	0.0423188
"written language"	0.0420002
"Star-Spangled Banner"	0.0416383
crematorium	0.0415895
"garden party"	0.0414944
"Stars and Stripes"	0.0406598
Crypt	0.0401513
))
("coat of paint" (desc 1844.5) (sims
paneling	0.0950745
varnish	0.0918535
"speeding ticket"	0.0908345
Masa	0.0891087
sealer	0.0844835
lampshade	0.0808864
fillip	0.0805729
chevre	0.0754029
"goose bumps"	0.0739141
"all clear"	0.073533
"light touch"	0.0728326
"break of serve"	0.0726756
upholstery	0.0701869
"bill of health"	0.067963
"face lift"	0.0677116
"day of rest"	0.0674345
"dining area"	0.0646678
blinker	0.0642918
blinder	0.0638951
"seal of approval"	0.0634841
postseasons	0.0631059
CPR	0.0615533
coating	0.0611457
A@@@s	0.0610014
smooch	0.0609863
"time clock"	0.0595387
"word of advice"	0.0593198
"domed stadium"	0.0592166
capillary	0.0587106
siding	0.0584966
prosthesis	0.0578867
eyeliner	0.057598
seasons.	0.057556
thinner	0.0574982
"service break"	0.0574286
spacewalks	0.0570674
"reference work"	0.0568548
"All-Star Games"	0.056839
"unearned run"	0.0568112
"positive feedback"	0.0567613
goosebumps	0.0566139
wallpaper	0.0558986
spray-painted	0.055703
scrubbing	0.0556775
transfusion	0.0556146
"window box"	0.0555361
switch-hitter	0.0550872
covering	0.0546771
pedicure	0.0545905
shingle	0.0543998
"electric shock"	0.0543552
wristband	0.0542331
"Ryder Cups"	0.054103
"space heater"	0.0539197
"bathroom fixture"	0.053837
yea	0.0537508
gloss	0.0536519
topsoil	0.0536028
reverser	0.0532763
"medical report"	0.053264
"fishing license"	0.0530711
grating	0.0530669
"electrical device"	0.0529533
band-aid	0.0529277
Dutchmen	0.0524785
primer	0.0524142
veneer	0.0522084
defibrillator	0.0520871
"knockout punch"	0.0520655
"medical examination"	0.0520139
REPELLENT	0.05142
prong	0.0512262
"clean slate"	0.0510346
padding	0.0509401
bedding	0.0508161
"bullet hole"	0.0507588
"British Opens"	0.0505596
mascara	0.0503961
"blank check"	0.0502052
grout	0.0501034
"medical checkup"	0.0500887
pistachio	0.0500349
"boxing glove"	0.0499503
flooring	0.0499044
cushioning	0.0497072
oomph	0.049671
skyboxes	0.0496495
baserunners	0.0493546
"Pro Bowls"	0.0492488
pimple	0.0491836
"refresher course"	0.0490524
groundouts	0.0490411
"sneak preview"	0.0489836
years.	0.0489297
"area code"	0.0489294
hand-me-down	0.0488014
limping	0.048664
pug	0.0486497
starts.	0.0486483
trowel	0.0486448
fife	0.0485661
"sense of purpose"	0.0484481
"point system"	0.0482876
"No. @s"	0.0481863
"hard sell"	0.0479628
"first aid"	0.0479523
gunk	0.0479405
"benefit program"	0.0478614
nightgown	0.0476519
proviso	0.0476179
send-off	0.0475025
"power unit"	0.0475009
dispensation	0.0474456
takeaways	0.0472904
sheath	0.0472565
"tax treatment"	0.0470851
sconce	0.0470501
"little hand"	0.0469755
molding	0.0467419
"breathing space"	0.0467266
"human face"	0.0465565
"Final Fours"	0.046509
monogram	0.0463283
"electric current"	0.0463163
pox	0.0462569
"air filter"	0.046247
convulsion	0.0462317
"silver dollar"	0.0461333
instalment	0.0461299
here.	0.0459678
stanza	0.0458995
"extra points"	0.0458511
adjective	0.045753
smudge	0.0456388
"major league season"	0.0456049
"golden rule"	0.0453002
"golden parachute"	0.0452865
Lowdown	0.045109
wainscoting	0.0449757
briquette	0.044973
B-@s	0.0447332
pigment	0.0447227
"cold shoulder"	0.0447083
"Border collie"	0.0443534
wideouts	0.0443456
nonwhites	0.0442935
"medical exam"	0.0440359
"job offer"	0.0440232
splint	0.0439726
"history lesson"	0.0439612
"magnifying glass"	0.0439557
"blood test"	0.0438067
nozzle	0.0437803
tubing	0.0436749
workmen	0.0436721
"Purple Heart"	0.0435858
"life jacket"	0.043478
"major-league team"	0.0434247
agro-techniques	0.0433767
"bamboo shoot"	0.0432936
cortisone	0.04326
armrest	0.0432565
"annual payment"	0.0431019
disclaimer	0.0430645
"legal principle"	0.0430408
great-grandchildren	0.0429767
"elbow room"	0.0429268
drapery	0.0428982
sendoff	0.0428826
mildew	0.0427056
detonator	0.042694
Hung	0.0426643
postscript	0.0426613
"World Cups"	0.0424868
"base hit"	0.042454
"rocket fuel"	0.0424188
registrant	0.0424004
"birthday present"	0.0423896
"wall hanging"	0.0423402
facelift	0.042312
"breathing room"	0.0422379
"space walk"	0.0421061
headrest	0.0420664
"line of defense"	0.0419789
"moving van"	0.041931
thumbs-up	0.0418593
patina	0.0418526
salve	0.0417703
"base runner"	0.0417389
"match point"	0.0417214
amplification	0.0416863
"a few thousand dollars"	0.0416664
moisturizer	0.0416474
hyper	0.0416111
Connell	0.0415433
Colbert	0.0414972
checkup	0.0413908
"identification number"	0.041353
"cut of meat"	0.0412603
"wrapping paper"	0.0412139
))
(Coates (desc 7472.3) (sims
"Ben Coates"	0.176044
"Shawn Jefferson"	0.124832
"Troy Brown"	0.118665
"Shannon Sharpe"	0.114754
"Tony Simmons"	0.112063
Chmura	0.108101
"Rod Smith"	0.103087
McCaffrey	0.0961048
WARRICK	0.0934684
Romanowski	0.0906493
"Ed McCaffrey"	0.0890095
McDuffie	0.0884191
"Terry Glenn"	0.086923
Moss	0.0868377
Ritter	0.0851996
Sharpe	0.0850891
Faulk	0.0848234
Galloway	0.083711
Glenn	0.0823721
Milloy	0.0821025
Bledsoe	0.0803979
"Ty Law"	0.0782483
Nikitin	0.0779532
Irvin	0.0776648
Brisby	0.0766408
Meissner	0.0764747
"Tony Martin"	0.0749199
"Ike Hilliard"	0.0742334
Rutledge	0.0731881
Jefferson	0.0713943
Mathis	0.0712928
Oakley	0.0711279
Glover	0.0701266
ALLISON	0.0699529
McCurry	0.0695555
Gaston	0.0689819
Perdue	0.0688868
Malone	0.0686462
Swann	0.0685994
Bambang	0.0684627
"O.J Santiago"	0.0680523
"Terance Mathis"	0.0680296
Hatcher	0.0677663
Marino	0.0673687
"Eric Moulds"	0.0670263
Kerr	0.0669939
Aldrin	0.0669801
Fagan	0.0669538
Pantani	0.0662496
Elliott	0.0656324
Botha	0.0652394
Volpe	0.0649336
Mitchell	0.0646421
Bakaly	0.0645763
Olowokandi	0.064289
Maradona	0.0642406
Drew	0.0639908
Welch	0.0639126
Chrebet	0.0636518
Mcbride	0.0633722
smith	0.0632908
Azizah	0.0631638
Owens	0.0629468
"Jerry Rice"	0.0629201
Menchu	0.0627184
Barros	0.0623958
Gallagher	0.0622374
"Oronde Gadsden"	0.0619537
Ismail	0.0615684
Paciello	0.0615486
McGrady	0.0615059
Cole	0.0613891
Solis	0.0613244
"Willie McGinest"	0.0608925
DeFrantz	0.0607977
"Randy Moss"	0.0607955
Quackenbush	0.060755
Palmer	0.0606104
Dixon	0.0605612
Steele	0.0604569
Sheppard	0.0603615
Shayler	0.0603449
fisher	0.0602038
"Michael Irvin"	0.0600566
"Kyle Brady"	0.0600333
Simmons	0.0600311
Toomer	0.0599522
Dyson	0.0599202
Davis	0.0598939
Mondale	0.0596846
Hoddle	0.0595807
Skakel	0.0595236
"Amani Toomer"	0.0593703
Conley	0.0593036
Fassel	0.0590654
Rodman	0.0589428
Prewitt	0.0588339
Brooks	0.0588319
Thornton	0.0588066
Mustafa	0.0586661
Kornberg	0.0585653
Gorman	0.0584017
Hardy	0.0583956
Hersh	0.0583744
Blake	0.0583654
Harris	0.0583636
Hanna	0.0582231
Brock	0.0581784
Bibby	0.0581616
Zolak	0.058064
Bennett	0.0580555
Hodler	0.058019
Coleman	0.0579121
Cleary	0.0577163
Rosa	0.057697
McGinest	0.0576469
"Chris Slade"	0.0575478
Ellis	0.0574699
Eaton	0.0574494
Talebi	0.0574285
Feldman	0.0573947
martin	0.0572374
"Le Pen"	0.0572137
Bartholomew	0.0571954
Irwin	0.0571804
Fassett	0.0571647
Pena	0.0571604
Olajuwon	0.0570706
McKinney	0.0570167
"Danny Farmer"	0.0569337
"Kevan Gosper"	0.0569144
Underwood	0.0568409
Zuma	0.0568113
Glaser	0.0567425
Laudrup	0.0566272
Woodward	0.0564978
"Wayne Chrebet"	0.0564763
McGarity	0.0564694
Andreychuk	0.0563711
Rodriguez	0.0562638
"Tim Dwight"	0.0562243
Levin	0.0562057
Gretzky	0.0561211
Morales	0.0561161
Terry	0.056097
Edwards	0.0560724
"Cris Carter"	0.0560506
Carroll	0.0560258
Gonzalez	0.0560255
Mowlam	0.0559571
Olson	0.0557869
Symington	0.0556826
Schultz	0.0555981
Cheng	0.0555845
Iverson	0.0555806
Sloan	0.0554884
Virenque	0.0554304
Anderson	0.0554233
Barlow	0.0553546
Hyman	0.0552476
Hardaway	0.0552243
Chamberlain	0.0550868
McWilliams	0.0550106
murphy	0.0549435
Donato	0.0548458
Harvey	0.0548445
Hensley	0.0548181
Alou	0.0547495
McGill	0.0547388
Bonilla	0.0547237
Harrington	0.0546916
Galvin	0.0545253
Duffy	0.0544796
Eisner	0.0544744
Sampson	0.0543499
Ferguson	0.0543238
Lundy	0.0541886
"Keyshawn Johnson"	0.0541658
Daniels	0.0541385
Karr	0.0541084
Osborne	0.0540964
Cleaves	0.0540954
Brister	0.0540747
Messier	0.0540536
Mikhailov	0.0540124
Cisneros	0.0539981
Appier	0.0539742
"Ted Johnson"	0.053944
Beilin	0.0539416
Cunningham	0.0538167
Khannouchi	0.0537981
Carruth	0.0537758
Havelange	0.0537753
petty	0.0537676
Iglesias	0.0537385
Kluivert	0.0536208
"David LaFleur"	0.0535696
Reilly	0.0535447
Testaverde	0.0534619
Kaplan	0.0534525
))
(coating (desc 15360) (sims
sealer	0.127744
adhesive	0.120233
insulation	0.105378
paint	0.10237
membrane	0.10073
layer	0.100666
plastic	0.0993775
glaze	0.0963283
resin	0.0877895
crust	0.0849918
varnish	0.084932
sheeting	0.0848163
polymer	0.0811369
covering	0.0809528
foam	0.0805345
sealant	0.0795273
lubricant	0.0784671
siding	0.0782063
stain	0.0779266
tile	0.0777181
coat	0.0772442
packaging	0.0771085
alloy	0.0762497
frosting	0.0746022
"specialty chemical"	0.0739524
shingle	0.0725642
Topping	0.0721498
veneer	0.0717595
carpeting	0.0713381
skin	0.0709465
spray	0.0701345
lining	0.0700011
enamel	0.0689357
powder	0.0683929
sheath	0.067665
sheet	0.06757
mixture	0.067482
casing	0.0673202
lacquer	0.0672914
solvent	0.0667589
glue	0.0665663
pesticide	0.0664898
vinyl	0.0658249
icing	0.0654163
chemical	0.0650218
polyurethane	0.0644274
grating	0.0641314
tubing	0.0634335
wrapping	0.0632112
filter	0.063138
fabric	0.0629875
"building material"	0.0627308
sheathing	0.0625103
mesh	0.0617632
pigment	0.0617368
"coat of paint"	0.0611457
fiber	0.0610577
blanket	0.0608047
mulch	0.0606094
glob	0.0598329
wrapper	0.0597083
residue	0.0595015
tarpaulin	0.0588696
paste	0.0585113
metal	0.058411
Plywood	0.0582708
foil	0.0581172
Shell	0.0578258
"gold leaf"	0.0576837
"plastic wrap"	0.0568148
slab	0.0566128
tether	0.0565751
flake	0.0564992
wax	0.0562979
cookware	0.0561803
louver	0.0559674
fibre	0.0559405
"synthetic fiber"	0.0557822
bandage	0.0557259
texture	0.0556431
Gel	0.0554831
flooring	0.0552424
insecticide	0.0551877
Liquid	0.0549585
preservative	0.054924
tube	0.0547891
roofing	0.054742
sheen	0.054655
pellet	0.0546544
cube	0.0544494
gasket	0.0542055
Polish	0.0538264
sauce	0.0538022
patch	0.0535896
cement	0.0535096
bead	0.0535024
shaving	0.0529436
primer	0.0529196
glass	0.0528146
plaster	0.0524466
Concrete	0.0524101
fertilizer	0.0520724
granule	0.0519016
cleaner	0.0518239
cladding	0.0517413
machinery	0.0516897
additive	0.0516625
crystal	0.0515793
stucco	0.0515688
petrochemical	0.0514143
filament	0.0512242
carpet	0.0511134
veil	0.0510199
"steel plate"	0.0509936
leaf	0.0509778
aluminum	0.0509607
lotion	0.0507818
husk	0.0506336
dough	0.0506277
latex	0.0505358
drywall	0.0505156
netting	0.0504947
"aluminum foil"	0.0503388
tablespoon	0.0503216
shield	0.0500585
sunscreen	0.0499131
pharmaceutical	0.0498947
particle	0.0498519
oxide	0.0496381
fiberglass	0.0496224
patina	0.0495702
lens	0.0495124
substance	0.0494353
crumb	0.0493762
shard	0.0492309
starch	0.0491983
cylinder	0.0491295
clump	0.0490361
coverall	0.048986
chocolate	0.0489787
molding	0.0488175
cushioning	0.048745
grease	0.0484435
Canopy	0.0484365
blob	0.048346
intermediate	0.0481053
splotch	0.0479512
tarp	0.0479137
condensation	0.0478788
molecule	0.0478757
dust	0.0477198
"home appliance"	0.0476718
filler	0.0476345
grout	0.0474617
sprinkling	0.0474025
brick	0.0473124
shutter	0.0473114
ceramic	0.047299
mat	0.0470536
malathion	0.0469542
herbicide	0.0467185
"office furniture"	0.0465909
fur	0.0465855
pad	0.0465063
bread	0.0464941
sprinkles	0.0463721
lump	0.0462801
stripe	0.0462077
cake	0.0461908
laminate	0.0460175
spoonful	0.0459824
goo	0.0458742
"jet engine"	0.0457852
packet	0.0456582
pulp	0.0454691
cheese	0.0454077
semiconductor	0.0453434
padding	0.0453193
exterior	0.045302
syrup	0.0452904
remover	0.0451882
cardboard	0.0447604
wallpaper	0.0446695
mold	0.0446096
"electronic equipment"	0.0444722
topsoil	0.0444084
firewalls	0.0443918
"sheet metal"	0.0441239
container	0.0439785
scent	0.0439396
shingles	0.0438356
decal	0.043817
sock	0.0437553
fillet	0.0437486
coil	0.0437222
"household appliance"	0.0436925
plume	0.0436696
wallboard	0.0436558
splint	0.0436489
refining	0.0436474
))
(coattail (desc 6515.98) (sims
"drawing power"	0.0551383
horseback	0.0539146
Aprilia	0.0531954
"short list"	0.0526638
escalator	0.0516032
bandwagon	0.0492607
soapbox	0.0481605
Yamaha	0.0476081
peccadillo	0.0475872
"Straight Talk Express"	0.046618
"staying power"	0.045834
prerogative	0.0455549
renomination	0.044849
Harley	0.0437463
juggernaut	0.0435125
trustworthiness	0.0434507
Pony	0.0420224
footstep	0.0420208
"subway train"	0.041656
scooter	0.0414623
Buggy	0.0414231
reelection	0.0406919
merry-go-round	0.0406502
appointee	0.0406237
foresight	0.0402995
"war chest"	0.0401517
))
(coauthor (desc 13785.1) (sims
author	0.140206
co-editor	0.118705
co-writer	0.0896305
"associate professor"	0.087316
neurologist	0.0837477
lecturer	0.0836758
psychoanalyst	0.0832777
"assistant professor"	0.0758855
co-director	0.0737184
academician	0.0715515
linguist	0.0710164
internist	0.0701636
drafters	0.0697377
"art director"	0.0693738
"social scientist"	0.0692816
neurosurgeon	0.0692258
specialist	0.0689553
anthropologist	0.0684448
compiler	0.0683255
psychologist	0.068313
editor	0.068256
professor	0.0678592
translator	0.0674991
consultant	0.0666139
historian	0.0658901
co-producer	0.0656715
ethicists	0.0655051
"Revised Version"	0.0653714
cardiologist	0.064827
researcher	0.0640382
philosopher	0.0639504
"new edition"	0.0637679
sociologist	0.0629058
cinematographer	0.062613
"clinical psychologist"	0.0621783
urologist	0.0617587
scholar	0.0615448
nutritionist	0.0610139
"visiting professor"	0.0605217
publisher	0.0603709
demographer	0.0601901
biochemist	0.0598471
cofounder	0.0597285
curator	0.0595379
"public speaker"	0.0591314
surgeon	0.0586137
dermatologist	0.0577828
pediatrician	0.0570681
physician	0.0563804
co-sponsor	0.0563467
immunologist	0.0560164
editor-in-chief	0.0557351
essayist	0.0556773
psychotherapist	0.0555292
educator	0.0553991
therapist	0.0551003
collaborator	0.0549236
"board member"	0.0548694
statistician	0.0545664
architect	0.0542767
crewmates	0.0541848
co-creator	0.0538776
practitioner	0.0538264
"social worker"	0.0536612
oncologist	0.0534412
"department head"	0.0533266
physicist	0.0532236
"managing editor"	0.0529397
"legal expert"	0.052862
authorship	0.0527075
dean	0.0526436
archeologist	0.0525713
scriptwriter	0.0523223
archivist	0.0523087
philanthropist	0.0522262
"graduate student"	0.0517627
botanist	0.0516701
proponent	0.0515039
columnist	0.0513443
illustrator	0.0509995
psychiatrist	0.0505363
reviewer	0.0504271
clinician	0.0503252
theologian	0.0501233
agronomist	0.0499456
biologist	0.0498233
epidemiologist	0.0497189
"graphic artist"	0.0495811
"state senator"	0.0495566
screenwriter	0.0494765
co-chairman	0.0492068
commentator	0.0484415
veterinarian	0.0481965
counselor	0.0481012
dramatist	0.0480132
collector	0.0480073
"legal guardian"	0.0479003
biographer	0.0477908
"political scientist"	0.0476813
"house guest"	0.0472231
theorist	0.0468676
economist	0.0467895
mathematician	0.0465469
co-owner	0.0464315
pollster	0.0463304
librarian	0.0463108
publicist	0.0462375
"management consultant"	0.0462158
"art historian"	0.0462016
"registered nurse"	0.0459766
panelist	0.0458991
Playwright	0.0458529
"community organizer"	0.0458488
"faculty member"	0.0458083
technician	0.0457066
obstetrician	0.0456202
chronicler	0.0454909
administrator	0.0454498
Litigator	0.0452842
chairwoman	0.0452787
signer	0.0452755
inventor	0.0449178
ecologist	0.0448664
"literary agent"	0.0448075
housemates	0.0447361
paleontologist	0.0446935
choreographer	0.0446379
speechwriter	0.0444443
"English professor"	0.0441467
"research director"	0.0439748
lyricist	0.0437337
gynecologist	0.0437328
laureate	0.0436118
"press agent"	0.0433251
"chief scientist"	0.0431871
radiologist	0.0431767
"sports editor"	0.0427453
"government officials"	0.0426749
backer	0.0424057
stylist	0.0424016
Futurist	0.0422204
confidant	0.0421009
"staff member"	0.0419601
creator	0.0419416
"computer scientist"	0.0419184
geologist	0.0418954
"electrical engineer"	0.0418777
thinker	0.0414013
humorist	0.0413892
poet	0.041342
confidante	0.041172
violinist	0.0411448
"one section"	0.0410865
novelist	0.0410747
cameraman	0.0410524
initiator	0.0410125
instructor	0.0409826
policy-makers	0.0407828
banker	0.0406699
endocrinologist	0.0406605
co-chair	0.0404939
arranger	0.0404412
tutor	0.0401999
))
("coaxial cable" (desc 1238.16) (sims
FireWire	0.14289
"optical fiber"	0.127107
Ethernet	0.113607
USB	0.112019
DSL	0.111415
adapter	0.104554
ADSL	0.10099
ISDN	0.0982307
SCSI	0.0861348
SDH	0.0815616
"Universal Serial Bus"	0.079341
"fiber optics"	0.0788933
"tin can"	0.0775708
"Comcast Corp."	0.0772407
TCI	0.0748735
"stereo system"	0.0737169
E-ZPass	0.0731009
capacitor	0.0726296
"rain cloud"	0.0722001
subwoofer	0.0716156
"gas line"	0.0690073
pulley	0.0681093
"electric current"	0.0663998
"fiber optic cable"	0.0655195
"shuttle bus"	0.0655034
microwave	0.0651799
earpiece	0.0651761
Powerbook	0.064874
winch	0.0647184
notary	0.0642755
webcams	0.0640531
"telephone wire"	0.063828
"Pentium III"	0.0637417
Midi	0.0631794
"gas turbine"	0.0631036
endoscope	0.0627836
"telephone booth"	0.0627149
"rubber band"	0.0624698
"oil paint"	0.0623499
broadband	0.0623002
"Cliffs Notes"	0.062005
trolley	0.0617878
"local area network"	0.0617453
"picture tube"	0.0617385
"phone system"	0.0604592
"cable car"	0.0602735
"steam turbine"	0.0601529
Cyrix	0.0601293
"battering ram"	0.0598861
infrared	0.059642
defibrillator	0.0594707
"garden hose"	0.0594062
"cellular telephone"	0.0591851
"Windows Media Player"	0.0591425
"fax machine"	0.0591151
connector	0.0586481
switchboard	0.0584953
"fuel system"	0.0584701
panko	0.0581818
"Western Union"	0.0581184
"electrical power"	0.0579996
"one million dollars"	0.0574414
"beam of light"	0.057291
analogue	0.0572642
led	0.0571388
"UNIX operating system"	0.0570438
pergola	0.0562996
emulsion	0.056155
wiring	0.0557738
hyphen	0.0557122
"wireless telephone"	0.0555051
"Honda Civic"	0.0552908
WebTV	0.0551046
videophone	0.0550579
"cargo container"	0.0550517
"software system"	0.0549281
tubing	0.0548997
"trunk line"	0.0547193
telemedicine	0.054714
"cable system"	0.0543316
"Tele-Communications Inc."	0.0543309
"Ford Expedition"	0.0541213
converter	0.0538455
"catalytic converter"	0.0537875
"Land Rover"	0.0537442
Comcast	0.0535071
spacewalks	0.0534931
Win@@	0.0533808
"transmission line"	0.0531291
Thinkpad	0.0528939
"three million yuan"	0.0528711
"credit bureau"	0.0528638
Vidro	0.0528457
filtering	0.0528246
"power line"	0.052698
mulch	0.0525619
three-pointers	0.052557
Instinet	0.052537
"sound wave"	0.0521052
telephony	0.0520386
"extension cord"	0.0520294
excavator	0.0519949
"railway system"	0.0519154
conveyor	0.051881
gunk	0.0517948
"Port Klang"	0.051592
Athlon	0.0514691
Filtration	0.0513971
RCN	0.0513907
"electric motor"	0.0511998
Plexiglas	0.0511678
"Strategic Petroleum Reserve"	0.0510208
Mahomes	0.0510152
T@	0.0509943
forklift	0.050747
"fishing gear"	0.0507211
"good story"	0.0505477
"Bill Lann Lee"	0.0504555
"radio wave"	0.050295
"Palm Pilot"	0.0501921
carnivore	0.0501834
"Hongkong Telecom"	0.050047
gondola	0.050016
fibre	0.0498245
"right of way"	0.0496589
imp	0.0496499
accelerator	0.0495103
Checkfree	0.0493643
Uunet	0.0492944
NCEC	0.0492275
"Beanie Baby"	0.0489041
"sewing machine"	0.0487297
"cable television"	0.0483946
"telephone set"	0.0483866
"Internet Service Providers"	0.0483627
"sprinkler system"	0.048157
"Cox Communications"	0.0481428
"Ford Mustang"	0.0480213
"water pipe"	0.0479625
"solar cell"	0.0478696
stents	0.0477833
Counsell	0.0476948
"margin call"	0.0476052
IE	0.047505
"booby trap"	0.0473183
"electrical device"	0.0472947
"three pitchers"	0.0472572
duct	0.0471506
VISTEON	0.0470482
"billion over @@ years"	0.0470021
nylon	0.0469942
toolbox	0.0469315
turntable	0.0468426
Auger	0.0468038
"caller ID"	0.0465824
sandpiper	0.0465565
"steam engine"	0.0464994
"telephone network"	0.0464885
barbell	0.0464666
monorail	0.0463968
joysticks	0.0462288
"electronic device"	0.0461922
gizmo	0.0461916
Moratinos	0.0461735
Comair	0.0460696
cistern	0.0460179
"a few lines"	0.0459468
Airstream	0.0459183
handset	0.0457261
"ultraviolet light"	0.0454818
tuner	0.0454112
Kulikov	0.0453832
Silverado	0.0452746
KEDO	0.0452331
"boxing glove"	0.0451743
Tropicana	0.0451741
Hotlines	0.0451514
"Department of Veterans Affairs"	0.0451413
"magnifying glass"	0.0451197
"GI Joe"	0.0451152
ICBC	0.0450621
"U.S. Trust"	0.045025
"Weight Watchers"	0.0449162
supercomputer	0.0449045
"Luis Lopez"	0.044873
biogas	0.0448081
air-conditioning	0.0444303
commode	0.0444206
supercomputers	0.0443328
"Easter bunny"	0.0443062
pager	0.0442503
"laser beam"	0.0442202
avionics	0.0441692
"local call"	0.0441668
Hotmail	0.0441121
poinsettia	0.0440994
"nearly @@@ million yuan"	0.044059
camcorder	0.0440311
intercom	0.0440031
blotch	0.0439826
))
(cob (desc 2500.55) (sims
"ransom money"	0.0713654
kernel	0.0655324
starch	0.0608748
chaff	0.0599498
gruel	0.0544976
"chewing gum"	0.0503593
Pudding	0.0503322
rhizome	0.0496175
grout	0.0491527
Masa	0.0479655
polenta	0.0472481
two-by-four	0.0469806
topsoil	0.0468161
mussel	0.0468067
"three pitchers"	0.0459742
pulp	0.0451959
"tree stump"	0.0446081
"monkey wrench"	0.0432899
lactose	0.0430133
"tortilla chip"	0.0428758
flan	0.0422922
"grapefruit juice"	0.042275
pollen	0.0416099
sparkler	0.041424
"cigarette butt"	0.0407881
Wesson	0.0404749
"bok choy"	0.040462
tassel	0.0400984
))
(Cobain (desc 1307.68) (sims
Binion	0.149859
Plath	0.124095
"Ruiz Massieu"	0.113468
Moxley	0.111949
Gerardi	0.107927
Dahmer	0.106792
Middleton	0.101835
Youk	0.0922933
Cory	0.0915549
Durwood	0.0915009
JonBenet	0.091282
Byrdsong	0.0908212
Dokmanovic	0.0901622
Yarmila	0.0897498
Biko	0.0887088
Neulander	0.0881097
Hani	0.0879373
Gaither	0.0876079
Webdale	0.0864763
Rothko	0.0853098
Ricart	0.0848127
Cassie	0.0841495
Phills	0.0836759
Slepian	0.0832777
Nkabinde	0.0823051
Bellush	0.081527
Zhivkov	0.0813172
Lennon	0.0801906
Winchell	0.0795152
Puente	0.0791761
Benton	0.079063
Starovoitova	0.0782617
Tierney	0.0777025
Castaneda	0.0775353
Leto	0.0773912
Amedure	0.0773887
"JonBenet Ramsey"	0.0768021
Hajdari	0.076705
Guerin	0.0766372
Coltrane	0.0765179
Tuinei	0.0761075
Kerouac	0.0757309
Webern	0.0752402
Dudayev	0.0748919
Selena	0.0745435
"Kurt Cobain"	0.074513
Ruskin	0.0743439
Costin	0.0731754
Sheppard	0.0726793
Panchen	0.0725478
Orwell	0.0723123
Borrego	0.0716677
Stepinac	0.0707165
Ita	0.0691367
Fahey	0.0686773
Lindbergh	0.0675608
"JFK Jr."	0.0674912
Presley	0.0673491
Norberg	0.0671245
Joplin	0.0668958
Loeb	0.0668742
Machel	0.0665717
Ileto	0.0665412
Raduyev	0.0664843
Blackmun	0.0661256
Hendrix	0.0659662
"Vincent Foster"	0.0652686
Cline	0.0645665
Barton	0.0643077
Messiaen	0.0642672
Merritt	0.0639925
Monroe	0.0638801
"Jerry Garcia"	0.0632165
"John Kennedy Jr."	0.0631834
krueger	0.0626809
Siskel	0.0618349
Arkan	0.061537
Lollar	0.0613878
Elgar	0.061183
Silverman	0.0607027
Ravelstein	0.0604828
Rodrigo	0.0602021
Soares	0.0598775
Saint-Exupery	0.0598258
"Matthew Eappen"	0.0596896
Monteverdi	0.0595337
Wasserstein	0.0593232
Costello	0.0591915
Isikoff	0.0589516
LaChiusa	0.0588312
Yoon	0.0588187
Cooke	0.0587027
Merrick	0.0584991
Borden	0.0584034
Allende	0.0583296
Sinatra	0.0580833
Faison	0.0580673
Krasniqi	0.0580331
"Leonard Bernstein"	0.0579297
"Virginia Woolf"	0.0578219
"Adam Petty"	0.0578045
"Leigh Ann"	0.0574611
Marley	0.0572303
JFK	0.0572075
Escobar	0.0571836
Mallory	0.0570048
Cunanan	0.0569262
Woolf	0.0568422
Hartley	0.056824
Timmy	0.0566311
Burks	0.0565958
Postel	0.0564823
Yandarbiyev	0.0562697
Springsteen	0.0562671
Roberds	0.05609
Wilkerson	0.0556464
Aquino	0.0553971
Gathers	0.0552088
Mellon	0.0552021
"Edith Wharton"	0.0551813
Kubrick	0.0550862
Sealy	0.0550205
McPherson	0.0547448
Hess	0.0547358
RFK	0.0547137
Vaughan	0.0544152
Gachet	0.0543184
Martorano	0.0541812
cain	0.0539026
Debussy	0.0532794
Ellison	0.0532668
Goodrich	0.0532625
"Reggie Lewis"	0.0529437
Beye	0.0529345
Pamela	0.0528561
Bono	0.0528378
"James Byrd"	0.0528295
Radojevic	0.0524764
YankeeNets	0.052362
Dandridge	0.0522969
Tilberis	0.0522073
Hartman	0.0518993
Harbison	0.0518204
Nkomo	0.0518181
Kurosawa	0.0517145
Tolstoy	0.0517035
FloJo	0.0515378
Burroughs	0.0514881
Klemperer	0.051426
"Patsy Ramsey"	0.0513612
Shepard	0.0511691
Larson	0.0510936
"Aaron Copland"	0.0510737
"James Byrd Jr."	0.0510062
Angelica	0.0508658
Raznatovic	0.0506499
Liston	0.050554
Shurmur	0.0505342
Susann	0.05042
Coverdell	0.0503605
Galindo	0.050246
McWilliams	0.0497682
Lambert	0.04969
Laudor	0.0496457
Onassis	0.0496428
Evan	0.0494576
Medea	0.0493671
Nijinsky	0.0491861
Grunow	0.0489906
Turetzky	0.0489807
Watkins	0.0488833
Hildegard	0.0488501
Patton	0.048837
Crockett	0.0488026
"Mark O. Barton"	0.0487299
Borges	0.048625
Ailey	0.0485681
Holzman	0.0484992
Cosby	0.0484391
Polly	0.0483386
Hurtado	0.0483114
Taubman	0.0481681
Kobayashi	0.0480769
Lawler	0.0480478
Gauguin	0.0479642
Hammett	0.0478301
Lacresha	0.0478078
Markhasev	0.0475911
Ecuadoreans	0.047514
Janis	0.047468
Marciano	0.0473142
Kovacevic	0.0472504
Nasrin	0.0472327
Alydar	0.0472133
Snead	0.047116
Rushdie	0.0470797
Coughlin	0.0469425
Khomeini	0.0469114
Schubert	0.0468994
Blackthorne	0.0465752
))
(cobalt (desc 4187.95) (sims
Zinc	0.212782
tungsten	0.186493
Copper	0.185737
manganese	0.182487
chromium	0.178317
"iron ore"	0.177607
platinum	0.159155
"fish meal"	0.149992
"rare earth"	0.149277
bauxite	0.148923
Boron	0.146903
Nickel	0.1366
aluminium	0.13216
cadmium	0.129966
aluminum	0.128842
palladium	0.128505
Gypsum	0.118214
chrome	0.110284
Coal	0.106041
ethylene	0.105523
magnesium	0.105133
"cashew nut"	0.103804
uranium	0.10263
bitumen	0.10161
POTASH	0.0980774
"pig iron"	0.0966316
ore	0.0953773
sulfur	0.0953665
phosphate	0.0950831
Tin	0.0946351
"precious metal"	0.0938453
iron	0.0907795
titanium	0.0888749
emerald	0.0832564
LNG	0.0832211
"precious stone"	0.0829044
turquoise	0.0796021
pewter	0.0774812
urea	0.0772295
diamond	0.0769189
silicon	0.0758894
phosphorus	0.0748499
newsprint	0.074438
"palm oil"	0.0744368
"steel plate"	0.0736635
maroon	0.0733978
alloy	0.0731655
Tropicana	0.0730207
petroleum	0.072514
lumber	0.0702699
"Lincoln Center Theater"	0.069793
hydrocarbon	0.0697739
jade	0.0691163
arsenic	0.0684375
"black tea"	0.0680764
petrochemical	0.0678187
"wheat flour"	0.0661791
"stainless steel"	0.0660399
plutonium	0.0652212
asbestos	0.0651575
"solar cell"	0.0647658
"soybean oil"	0.0642504
methanol	0.0639802
Sulphur	0.0638191
cocoa	0.0637283
gemstone	0.0634867
"crude oil"	0.0632005
Stratus	0.0631443
"cobalt blue"	0.0631059
silica	0.0625955
"polyvinyl chloride"	0.0625874
fertilizer	0.0625052
sorghum	0.0624883
Calcium	0.0614588
oxide	0.061128
fuchsia	0.0609822
pulp	0.0609647
CPO	0.0608253
wool	0.060308
"deep red"	0.0600256
eel	0.0600016
"coal gas"	0.0598177
oilseed	0.0597055
"Sunset Strip"	0.0596806
starch	0.0591113
"natural gas"	0.0591014
cashmere	0.0588029
"food grain"	0.0586924
mica	0.0583783
sulfate	0.0580853
tritium	0.0571834
"lubricating oil"	0.056886
violet	0.056886
"royal blue"	0.0568769
biogas	0.0562721
mineral	0.0561942
maize	0.0561486
"diesel oil"	0.0561205
Nabisco	0.0559607
"citric acid"	0.0559188
graphite	0.055457
beige	0.0551438
polypropylene	0.0550103
"milk powder"	0.0548111
"machine tool"	0.0545417
teal	0.0544921
ceramic	0.0542455
potassium	0.0539274
"building material"	0.0538684
lysine	0.0537427
"soya bean"	0.0537166
crimson	0.0536936
nitrogen	0.0534493
ammonia	0.0532534
"nitrogen oxide"	0.0532479
timber	0.052891
"fuel oil"	0.0528091
taupe	0.0526984
carbon	0.0524539
mercury	0.052403
sugarcane	0.0522262
rapeseed	0.0521163
LPG	0.0516167
"frozen food"	0.0514832
polyethylene	0.0514462
Scarlet	0.0513591
cellulose	0.0513159
ethanol	0.0512164
aquamarine	0.0508478
"heavy water"	0.0507154
garnet	0.0505884
non-oil	0.0504318
bullion	0.0503488
chlorine	0.0502743
foodstuff	0.0499585
talc	0.0497016
tapioca	0.0494644
"Honda Motor Co."	0.0494027
chloride	0.0493465
ingot	0.0489669
"pork belly"	0.0484971
"consumer goods"	0.0484805
charcoal	0.0482556
"fish fillet"	0.0477433
condensate	0.0475141
dioxide	0.0473788
"passenger car"	0.047342
VCD	0.0472932
opium	0.0472648
sodium	0.0469057
"washing machine"	0.0467389
"caustic soda"	0.0467269
cannabis	0.0465916
Skoda	0.0464086
Burgundy	0.0463877
"synthetic fiber"	0.0463026
ivory	0.0462196
SDL	0.0461484
"memory chip"	0.0459461
jewellery	0.0458406
"coffee bean"	0.0454721
"home appliance"	0.0452835
"diesel fuel"	0.0452559
"Royal Shakespeare Company"	0.0451625
soybean	0.0449336
aqua	0.0447637
"powdered milk"	0.0447511
limestone	0.0447023
"solar energy"	0.0446377
Belacevac	0.0446316
"navy blue"	0.0445639
beryllium	0.0444715
"carbon dioxide"	0.0444066
semiconductor	0.0441884
Roxy	0.0439801
pork	0.0439732
"cooking oil"	0.0439692
sapphire	0.0439243
"dairy product"	0.0439236
"vitamin C"	0.0438919
"West Berlin"	0.0438021
"dark blue"	0.0437722
karaoke	0.0437329
pistachio	0.0436234
"household appliance"	0.0435718
porcelain	0.0435167
barley	0.0434976
aquatics	0.0433662
Petrofina	0.043337
quartz	0.0432871
Honeywell	0.0429698
Alaskan	0.0429543
"nuclear energy"	0.04294
SkyTel	0.0426835
"wind power"	0.0426491
PVC	0.042451
sisal	0.0422697
southland	0.042034
"integrated circuit"	0.0419987
coca	0.0419844
))
("cobalt blue" (desc 1209.65) (sims
aquamarine	0.13016
"dark blue"	0.112516
turquoise	0.109603
"yellow light"	0.0894976
teal	0.0850727
Evian	0.0794958
"black flag"	0.0729606
acrylic	0.0712924
high-gloss	0.0674449
sherbet	0.0660957
"royal blue"	0.0655847
wraparound	0.0642415
Baccarat	0.0634872
garnet	0.0633917
cobalt	0.0631059
quart	0.0630381
aqua	0.062251
PVC	0.0612059
"yellow flag"	0.0606607
"Nile River"	0.060483
Harlequin	0.059383
Lycra	0.0589135
pewter	0.0583842
"powder blue"	0.0571552
minimalist	0.0550433
emerald	0.054497
Plexiglas	0.0541571
Ganges	0.0537196
stoneware	0.0535915
"terra cotta"	0.0534177
mohair	0.0519861
"Sistine Chapel"	0.0514159
"blue ribbon"	0.0512844
worn	0.0512047
earthenware	0.0510732
gouache	0.0506904
fuchsia	0.050319
Teflon	0.0502678
Heinrichs	0.0495673
plaid	0.0494359
rippling	0.0482966
"deep red"	0.0478775
twitching	0.0476473
kitschy	0.0462279
"navy blue"	0.0457377
"Jordan River"	0.0455816
enamel	0.0451826
parquet	0.0442085
"about @/@ cup"	0.0440556
tweed	0.0439803
sapphire	0.0437684
four-inch	0.0429777
shattering	0.042969
"Grand Marnier"	0.0428558
"small white"	0.0427087
scrubbing	0.0414243
"space age"	0.0411545
Ofili	0.0411117
clingy	0.041062
Icelandic	0.0401212
))
(Cobb (desc 8548.95) (sims
Gwinnett	0.14873
Fulton	0.145697
DeKalb	0.13522
Gehrig	0.0966512
"Ty Cobb"	0.093499
Forsyth	0.0912495
"Cobb County"	0.0851184
Valenzuela	0.0816276
Mikhailov	0.0807424
Mays	0.0799769
Irvan	0.0794629
"Harris County"	0.0777591
Aaron	0.076407
Middlesex	0.0759258
McCurry	0.0748298
Berenson	0.0741595
Rutherford	0.0721256
beamer	0.0720491
Skakel	0.0716292
"Fulton County"	0.0695218
Shinn	0.0692332
Prewitt	0.0690719
Yount	0.0690235
Greenberg	0.0686834
Clayton	0.0685621
Fagan	0.0679955
Schrader	0.0679499
Ruehe	0.0669097
Padilla	0.0668699
Manley	0.066614
Polian	0.0664058
Finkel	0.0656194
Azizah	0.0651289
Hanna	0.0643821
Maris	0.0640682
Mcbride	0.0639091
McDaniel	0.0636856
CHEROKEE	0.0630456
Arum	0.0629389
Steinberg	0.0628998
Rockdale	0.0626552
Bakaly	0.0624901
Auriemma	0.0622142
DiMaggio	0.0621876
Joklik	0.0618788
Hess	0.061787
Solis	0.0617554
Fassett	0.0616523
Drabinsky	0.0614373
Koufax	0.0611782
Wilhelm	0.0611384
DeFrantz	0.0609818
Broward	0.0609485
Cronin	0.0605122
Rosenthal	0.0604666
Ripken	0.0603178
"Pitt County"	0.0602631
Bowman	0.0601782
Vogts	0.0598524
Demaci	0.0597874
Hagelin	0.0595565
Mahoney	0.059461
Abbas	0.0592157
Walton	0.0591108
Lancaster	0.0590541
McKenna	0.058893
"Montgomery County"	0.0588219
Ruth	0.058779
Beilin	0.0587204
Winkler	0.0585283
Miami-Dade	0.0585184
Williamson	0.0584852
Sussex	0.0584106
Chung	0.0583468
Diller	0.0582822
Alarcon	0.0580519
Hoffmann	0.0580378
Sahadi	0.0578906
Ebersol	0.05784
Sherman	0.0577346
Reyes	0.0577036
ROMNEY	0.057634
Goossen	0.0574491
McMahon	0.0574434
Connolly	0.0572982
dale	0.0572076
Lockhart	0.0571729
Moceanu	0.0569753
Rashid	0.0568557
Essex	0.0567867
wheeler	0.0566808
Sharansky	0.0566671
Donohue	0.056616
POLK	0.0565497
Hodler	0.0565429
Jacobsen	0.0565043
Fleischer	0.0563847
Mordechai	0.056334
Sather	0.0563269
Cepeda	0.0562351
Bildt	0.0559269
Gagne	0.0556125
Olson	0.0554966
"Fayette County"	0.0554683
Romanowski	0.0554648
Piot	0.0554461
Simmons	0.0554353
McDonough	0.0554145
Rahal	0.0553829
Parrish	0.0552121
Shalala	0.0551783
Narayanan	0.0549874
Rahman	0.0549014
Gravano	0.0548703
Rawlings	0.0548499
McAuliffe	0.0546913
Jennings	0.0546217
Schwartz	0.0545845
Hybl	0.0545643
McKinney	0.0545501
Moore	0.0545033
Zamora	0.0544591
Zuma	0.0544489
"Bergen County"	0.0544334
Carroll	0.054373
Nguyen	0.0543412
Eizenstat	0.0542764
"Tarrant County"	0.0541411
Naumann	0.0540336
Strauss-Kahn	0.0540251
Carruth	0.0539964
Khannouchi	0.053979
Suffolk	0.0539125
Koch	0.0538773
Faulder	0.0538574
Ackerman	0.0538439
Flanagan	0.0538201
Matthews	0.0537454
perry	0.0537432
Sutter	0.0537072
Sheppard	0.0535613
Atwood	0.0534237
Windham	0.0534237
Dempsey	0.053414
Huggins	0.0534017
Mills	0.053363
Horton	0.0532951
Paxon	0.0532836
Stayner	0.0532777
Gonzales	0.0531962
Zadornov	0.0531669
Sharon	0.053136
"Honus Wagner"	0.0530871
Morris	0.0530244
Skiles	0.0530035
Advani	0.0529504
Garrett	0.0529302
Cooley	0.0529093
Solich	0.0529066
Kissinger	0.0528958
Collier	0.0527861
Antley	0.0527537
Welch	0.0527204
McKinnon	0.0527147
Vasquez	0.0526731
Gilbert	0.0526078
Waxman	0.0525817
Bowers	0.052572
Schottenheimer	0.0525567
Keating	0.0525189
Blackthorne	0.0524747
Copeland	0.052463
Clark	0.0523778
Goldberg	0.0523313
Haskins	0.0522614
Locke	0.0522605
Okada	0.052158
douglas	0.0521418
"King County"	0.0521176
Tian	0.0520928
fowler	0.0520813
Jimenez	0.0520443
Faget	0.0520195
Rosenblatt	0.0519604
Hoffman	0.0519374
"Monroe County"	0.0519283
Zucker	0.0518386
Tevanian	0.0518306
Ruff	0.0518192
Kopp	0.0517875
Girardi	0.0517846
Barrow	0.0517762
Irving	0.0517267
Crenshaw	0.0517251
Pirro	0.0517115
Dorsett	0.0516257
Torricelli	0.0515248
Quayle	0.0515071
Brazill	0.0514994
Bonner	0.051483
))
("Cobb County" (desc 4171.49) (sims
"Fulton County"	0.218476
"Tarrant County"	0.161278
"Montgomery County"	0.160536
"Gwinnett County"	0.155233
"Rockdale County"	0.152009
"Dallas County"	0.14768
"Monroe County"	0.144771
"DeKalb County"	0.140304
"Jackson County"	0.139969
"Fayette County"	0.133377
"Jasper County"	0.130872
"Jefferson County"	0.123517
"Madison County"	0.123006
Alpharetta	0.1198
"Albany County"	0.119476
"Borough Park"	0.11872
Rockdale	0.115013
"Warren County"	0.11402
Chatsworth	0.11138
"Harris County"	0.111165
"Williamson County"	0.107842
"Travis County"	0.107283
"Suffolk County"	0.105857
Nakuru	0.105183
"Woodland Hills"	0.103531
"Van Nuys"	0.103376
"Overland Park"	0.103199
"North Hollywood"	0.102175
"Maricopa County"	0.102068
Duluth	0.101259
"Johnson County"	0.100983
"Los Angeles County"	0.100787
"Palm Beach County"	0.099959
Bronx	0.099345
"Ventura County"	0.0988673
LAKEWOOD	0.0984079
Suwanee	0.0972645
Encino	0.0970945
"Santa Clara County"	0.0970318
"King County"	0.0969264
"Sandy Springs"	0.0968996
Dunwoody	0.0967958
"Westchester County"	0.0965876
Marietta	0.0958748
Decatur	0.0958475
"Bergen County"	0.0947325
Lawrenceville	0.0938249
"East Orange"	0.093788
"Cook County"	0.0932094
Stockbridge	0.0925305
Glendale	0.0924806
Leawood	0.0921748
Scottsdale	0.0917348
Gwinnett	0.091561
"San Fernando Valley"	0.0915605
Tempe	0.0909374
"Newport Beach"	0.090627
DeKalb	0.0899122
"Essex County"	0.0892517
"Pitt County"	0.0891774
"Nassau County"	0.0891309
Englewood	0.0891235
"Fairfax County"	0.0890926
"Erie County"	0.0890685
"Cherry Hill"	0.0881208
"Miami-Dade County"	0.0877808
Smyrna	0.0877023
"Virginia Beach"	0.0871046
Lansing	0.0868258
"Thousand Oaks"	0.0863398
"Flagler County"	0.0854062
"San Fernando"	0.0851779
Cobb	0.0851184
"Little Rock"	0.0849674
"Simi Valley"	0.0845259
Medford	0.0843933
Conyers	0.0838326
Middletown	0.0837107
"College Park"	0.0834443
Stamford	0.0832966
Gainesville	0.0829511
Mannheim	0.0825993
Sausalito	0.0823154
plainclothes	0.0819631
Norcross	0.0813521
"Broward County"	0.0808527
"District of Columbia"	0.080781
"Orange County"	0.0802253
"Westlake Village"	0.0794503
Brunswick	0.0787454
"Silver Spring"	0.0781574
Tarzana	0.0781158
"Fort Worth"	0.0780727
Lancaster	0.0772948
Burbank	0.0769956
Middlesex	0.0765226
"West Palm Beach"	0.0765224
"Riverside County"	0.0765208
riverside	0.0764306
Riverdale	0.0763874
Brooklyn	0.0763235
Deerfield	0.0762166
Holyoke	0.0761565
Amherst	0.0750402
Pacoima	0.0750394
Yonkers	0.0747838
Carrollton	0.0747721
Bellevue	0.0743539
Bridgeport	0.0741913
"Walnut Creek"	0.0737449
"Nuevo Laredo"	0.0737238
"White Plains"	0.0732458
"Jersey City"	0.0730701
Miami-Dade	0.0730643
"Dutchess County"	0.0729662
"East St. Louis"	0.0727697
Arlington	0.0726363
Harlem	0.0725556
"Redwood City"	0.0719398
"Dade County"	0.0716461
Compton	0.0716278
Barrington	0.070956
"East Los Angeles"	0.070854
"South Bronx"	0.0706976
Brookline	0.0706912
Alexandria	0.0706482
Tijuana	0.0702919
"Granada Hills"	0.0700864
Topeka	0.0700059
Fairfield	0.069992
Morristown	0.0699908
Utica	0.0695668
Sunnyvale	0.0693876
Dearborn	0.0691487
Americus	0.0689711
Chappaqua	0.06879
Plano	0.0687697
"Boca Raton"	0.0687559
"Delray Beach"	0.0686882
TALLAHASSEE	0.0681391
Greenville	0.0679748
Harlingen	0.067594
"Sherman Oaks"	0.0675212
Albany	0.0673353
"El Paso"	0.0671959
"Kansas City"	0.0671542
Peoria	0.0665801
Malden	0.0664438
"Studio City"	0.0662008
Quincy	0.0661828
Greenwich	0.0660324
"Palm Beach Gardens"	0.0658038
Camden	0.0655697
Mesa	0.0654663
Burlington	0.0653271
"San Antonio"	0.0650807
"Port Authority"	0.0648983
"San Diego County"	0.0648542
Surrey	0.0646965
Macon	0.0644047
"Highland Park"	0.0643785
Greensboro	0.0643432
Falmouth	0.0642441
Wilmington	0.0641956
Westchester	0.0638472
McDonough	0.0636823
Rochester	0.0636101
"Saratoga Springs"	0.0634399
"West Hollywood"	0.0634112
"New Rochelle"	0.0631815
Birmingham	0.0630741
Lenexa	0.0628407
Lexington	0.0628195
Reseda	0.0627877
Nashua	0.0625805
Pelham	0.0625048
Tacoma	0.0623048
Westfield	0.0622705
"San Pedro Sula"	0.0622373
Wildwood	0.0622089
Spokane	0.0621521
"El Segundo"	0.0620624
Maryland	0.062017
Louisiana	0.0620107
Emeryville	0.0619549
"Garden City"	0.0616847
Kingston	0.0615668
Fayetteville	0.0613974
Gulu	0.0613122
"Palo Alto"	0.0611305
Posoltega	0.0611186
Fulton	0.0608146
Northridge	0.060799
Hartford	0.0606359
Wellesley	0.0604391
Carlsbad	0.0603498
Guadalajara	0.0603398
"North Beach"	0.0603202
"Round Rock"	0.0602063
Gadsden	0.0601255
))
(COBBLER (desc 4984.17) (sims
TART	0.158497
cheesecake	0.155512
shortcake	0.151906
pie	0.145641
muffin	0.143035
Pudding	0.139111
compote	0.13239
"chocolate cake"	0.12286
cake	0.112828
smoothie	0.111427
"chocolate mousse"	0.108189
"pound cake"	0.107059
pancake	0.104561
preserves	0.103705
scone	0.101007
chutney	0.100668
"ice cream"	0.0993455
pastry	0.0992488
cornbread	0.0986316
custard	0.0965009
bread	0.0962249
brownie	0.0960664
fudge	0.0952797
dessert	0.0941545
meringue	0.0933712
fruitcake	0.0913249
sorbet	0.090158
Souffle	0.0883661
cooky	0.0872417
mousse	0.0866571
"potato salad"	0.0854292
"pie crust"	0.0841311
puree	0.0833227
meatloaf	0.0831669
pizza	0.0818808
"Caesar salad"	0.0816503
lemonade	0.08164
"pecan pie"	0.0814682
Jell-O	0.0813913
gelatin	0.0812875
biscuit	0.0809347
"iced tea"	0.0805074
salad	0.0803295
flan	0.0801172
cookie	0.0800918
"chocolate chip cookie"	0.0785554
quiche	0.0758943
"apple pie"	0.0749577
"sweet potato"	0.0745591
Casserole	0.0743094
soup	0.074104
stuffing	0.0740915
jelly	0.0738528
coleslaw	0.0727439
pickle	0.0708517
"pot roast"	0.0707912
croissant	0.0702483
slaw	0.069858
sundae	0.0690858
shortbread	0.0686411
"pumpkin pie"	0.0684502
"barbecue sauce"	0.0668922
picker	0.0665893
ragout	0.0662282
risotto	0.0660228
gravy	0.0658924
"French toast"	0.0655127
cider	0.0636142
kebab	0.0628902
"french fries"	0.062023
doughnut	0.0608922
sausage	0.0607737
"baked goods"	0.0604925
"packing plant"	0.0603046
Tamale	0.0600057
"cream puff"	0.0591813
"collard greens"	0.0590502
crawfish	0.0589083
"vegetable soup"	0.0587858
salsa	0.0584999
noodle	0.0580872
torte	0.0579782
"green bean"	0.0575502
liqueur	0.0571042
frosting	0.0569247
sherbet	0.0568091
filling	0.0567367
nectar	0.0559729
yogurt	0.0557964
Lasagna	0.055118
"creme brulee"	0.0545642
bagel	0.0544316
ravioli	0.0540092
dumpling	0.0538963
biscotti	0.0537317
cupcake	0.0533084
"whipped cream"	0.0532966
stew	0.0532712
pasta	0.0531099
dressing	0.0529748
orchard	0.0523546
butterscotch	0.0522882
ham	0.0521605
polenta	0.0519923
waffle	0.0518069
plantain	0.0515858
buttermilk	0.051518
peach	0.0512748
bruschetta	0.0511722
aperitif	0.0509459
brandy	0.0505761
okra	0.0502011
"cranberry sauce"	0.0499003
"rack of lamb"	0.049848
praline	0.049807
loaf	0.0496394
oatmeal	0.0495993
Collard	0.0494877
gratin	0.0493481
enchilada	0.0491673
matzoh	0.0488123
burgers	0.0483888
spaghetti	0.0478843
Topping	0.0477851
matzo	0.0477358
chowder	0.047726
meatball	0.047523
ricotta	0.0469909
creme	0.046975
steak	0.0469303
"Atlantic salmon"	0.0468928
pear	0.0468303
gingerbread	0.0466642
"meat loaf"	0.046188
"layer cake"	0.0461805
"lima bean"	0.0460283
shrub	0.0459166
"chicken salad"	0.0458795
"sour cream"	0.0452877
curd	0.0452794
donut	0.0451143
"peanut butter"	0.0451004
yam	0.0450137
"frozen yogurt"	0.044949
trifle	0.0449354
"cream cheese"	0.0448956
"macaroni and cheese"	0.0444426
candy	0.0442375
aroma	0.0442315
milkshake	0.0440915
Icebox	0.0437282
carrot	0.0435959
gumbo	0.043126
pecan	0.0429946
pumpkin	0.0429657
low-fat	0.0427995
apricot	0.0427825
"hot chocolate"	0.0426393
"tomato sauce"	0.0423118
asparagus	0.0420629
sardine	0.0419795
"black-eyed pea"	0.0419792
"hot dog"	0.0419448
tofu	0.041854
pea	0.0414652
phyllo	0.0412466
popcorn	0.0411832
baguette	0.0410583
Fondue	0.0405195
beverage	0.0404011
brioche	0.0402522
bun	0.0401397
Margarita	0.0401304
bisque	0.040099
"fruit salad"	0.0400897
quesadillas	0.040057
))
(cobblestone (desc 2010.53) (sims
"city block"	0.0677664
"feast day"	0.0616534
asphalt	0.0600702
"Lijiang River"	0.0533152
Athenian	0.0501956
girder	0.05003
"Christine Arron"	0.0490207
Colosseum	0.0487458
parquet	0.0486
"petrol bomb"	0.0484825
gauntlet	0.0477933
hubcap	0.0476217
Crypt	0.0452177
shoal	0.0451554
"Titan A.E."	0.0449788
thunderbolt	0.0448164
"Egyptian capital"	0.0432614
"grocery bag"	0.0430714
mushrooming	0.0427037
folkways	0.0423727
racquet	0.0421279
Mesopotamia	0.0420132
"gasoline bomb"	0.0413029
"about @@@ acres"	0.0408425
"Prime Ministers"	0.040786
"Southern Ocean"	0.0404651
Vandal	0.0404144
pavement	0.0403732
"water bottle"	0.0402307
"about @.@ million dollars"	0.0400723
))
("Cobi Jones" (desc 5151.13) (sims
"Greg Vanney"	0.305943
"Paul Caligiuri"	0.299913
"Mauricio Cienfuegos"	0.29682
"Robin Fraser"	0.272536
"Carlos Hermosillo"	0.271494
"Clint Mathis"	0.266426
"Brian McBride"	0.259117
"Joe-Max Moore"	0.239938
Welton	0.234684
"Claudio Reyna"	0.210361
"Tab Ramos"	0.201883
"Eddie Lewis"	0.200885
"Frankie Hejduk"	0.192603
"Eddie Pope"	0.181971
"Ben Olsen"	0.175318
"Luis Hernandez"	0.169258
"Eric Wynalda"	0.164801
"Hidetoshi Nakata"	0.164029
"Jeff Agoos"	0.161196
"Ante Razov"	0.150779
"Roy Lassiter"	0.148416
"Dejan Stankovic"	0.14633
"Gheorghe Hagi"	0.124611
"Hao Haidong"	0.123351
"Mike Burns"	0.122913
"Alen Boksic"	0.122593
"Leonel Alvarez"	0.121773
"Stern John"	0.121121
"Hu Weidong"	0.11755
"Raul Diaz Arce"	0.116501
"Kasey Keller"	0.116319
"Predrag Mijatovic"	0.115389
"Carlos Valderrama"	0.115387
"Harry Kewell"	0.114825
"Dejan Savicevic"	0.114228
"Kristine Lilly"	0.113708
"John Harkes"	0.111683
Wynalda	0.107125
Jair	0.106504
"Alexi Lalas"	0.103786
"Robert Pires"	0.101416
"Khodadad Azizi"	0.101217
"Jorge Campos"	0.100942
Rivaldo	0.0997759
"Ivan Zamorano"	0.0988619
"Nwankwo Kanu"	0.0986782
"Sun Wen"	0.0964755
"David Beckham"	0.0957684
"Dwight Yorke"	0.0954321
"Thomas Haessler"	0.0942276
"Faustino Asprilla"	0.0941165
Sissi	0.0935374
"Ariel Ortega"	0.0927733
"Dennis Bergkamp"	0.0914598
"Kevin Hartman"	0.0911952
"Youri Djorkaeff"	0.0908866
"Zinedine Zidane"	0.0903521
"Andy Williams"	0.0897028
Vieri	0.0883901
"Ian Wright"	0.0878614
"Mia Hamm"	0.0877571
"Filippo Inzaghi"	0.0874911
"Robert Prosinecki"	0.0869965
"Michelle Akers"	0.0868786
Cienfuegos	0.0859573
"Tiffeny Milbrett"	0.0857297
"Luis Figo"	0.0851685
"Ali Daei"	0.0850821
Preki	0.0849293
"Robert Jarni"	0.0848603
"Fan Zhiyi"	0.0841057
"Davor Suker"	0.0840967
Denilson	0.0840157
"Raul Gonzalez"	0.0829553
"Adrian Ilie"	0.0829206
"Steve McManaman"	0.0817678
"Patrick Kluivert"	0.0816836
Juninho	0.0813855
"Tore Andre Flo"	0.0812898
Romario	0.0811874
Salas	0.0797325
"Marcelo Balboa"	0.079695
"Mario Stanic"	0.0796479
"Oliver Bierhoff"	0.0792513
"Phillip Cocu"	0.0792447
"Hristo Stoichkov"	0.0787994
"Jumaine Jones"	0.0787135
"Juwan Howard"	0.0787123
"Emmanuel Petit"	0.0783982
"Cindy Parlow"	0.0782578
"Paul Merson"	0.0777083
"Brian Laudrup"	0.0776389
"Claudio Lopez"	0.0774663
"Edgar Davids"	0.0769137
"Chris Porter"	0.0768704
"Roberto Baggio"	0.0768546
"Gianfranco Zola"	0.0759614
"Blake Sloan"	0.0754947
Bebeto	0.0754816
"Mike Keane"	0.0751255
"Kirk Muller"	0.0749101
"Alan Shearer"	0.0748999
"Alessandro Del Piero"	0.0747436
"Diego Simeone"	0.0747223
"George Weah"	0.0740785
"Paolo Di Canio"	0.0735943
"Dixon Ward"	0.0735301
"Ron Artest"	0.0735256
"Michael Laudrup"	0.0732403
"Theo Fleury"	0.0732188
Edmundo	0.0729062
"Kenyon Martin"	0.0726791
"Jaromir Jagr"	0.0726073
"Enrico Chiesa"	0.0725776
"Tamika Catchings"	0.0722094
"Ulf Kirsten"	0.0720101
"Marcelo Salas"	0.0713715
Hamm	0.0713704
"Alexei Yashin"	0.0710872
"Thierry Henry"	0.070865
"Brett Hull"	0.0705126
Djorkaeff	0.0700147
"Christian Vieri"	0.069837
"Grant Marshall"	0.0698058
"Robbie Fowler"	0.0695999
"Guy Carbonneau"	0.0694954
"Juergen Klinsmann"	0.0694621
Mcbride	0.0694378
"Jere Lehtinen"	0.0694322
"Zvonimir Boban"	0.069368
"Christophe Dugarry"	0.0693498
"Jarvis Turner"	0.0693004
"Marcus Fizer"	0.0690655
LeClair	0.0687747
"Fabrizio Ravanelli"	0.0686743
Lassiter	0.0686205
"Tony Amonte"	0.0684863
"Kevin Freeman"	0.0684607
Duchesne	0.0682365
"Clarence Seedorf"	0.0678904
"John Collins"	0.0678469
Ronaldo	0.0675472
"Paul Scholes"	0.0674629
"Julie Foudy"	0.0672714
"Paul Kariya"	0.0672063
Hagi	0.0672047
Suker	0.0670973
Bierhoff	0.0670629
"Jason Kapono"	0.067017
"Gabe Muoneke"	0.0667279
"Greg Adams"	0.0663442
"Hernan Crespo"	0.0659154
"Claude Lemieux"	0.065754
"Stan Collymore"	0.065726
"Keith Tkachuk"	0.065672
"Raef LaFrentz"	0.0655831
Bergkamp	0.0655585
"Teemu Selanne"	0.0655508
"David Trezeguet"	0.0655458
"Sean Elliott"	0.0655044
"Paul Ince"	0.0654747
Reichel	0.0650906
"Brendan Shanahan"	0.0649007
Etcheverry	0.0648376
"Gabriel Batistuta"	0.0648108
Baggio	0.0647677
"A.C. Green"	0.0647529
"Mike Sullivan"	0.0647053
"P.J Brown"	0.0646946
"Ronald de Boer"	0.0646194
"Brian Scalabrine"	0.0645389
"Peter Forsberg"	0.0644689
"Kenny Thomas"	0.0644485
"Morris Peterson"	0.0644271
"Steve Thomas"	0.0642008
"Alexei Kovalev"	0.0640424
"Sheryl Swoopes"	0.0633974
"Todd Harvey"	0.0631618
Gorter	0.0627033
Andreychuk	0.0626993
"Marco Etcheverry"	0.0626065
"Gianluca Vialli"	0.0625301
"Dave Andreychuk"	0.0625287
hermosillo	0.0622822
"Ryan Giggs"	0.0618927
"Michael Finley"	0.0618425
Reyna	0.0618304
"Bill Guerin"	0.0617645
"Maurice Taylor"	0.0617194
"Roy Keane"	0.061554
"Shareef Abdur-Rahim"	0.0615352
Kluivert	0.0612706
"Mike Miller"	0.0612353
"Jeff Friesen"	0.0612086
"Chris Crawford"	0.0611642
"Teddy Sheringham"	0.0611354
"Benoit Hogue"	0.0611242
"Wang Tao"	0.0611108
"DeLisha Milton"	0.060977
"Grant Long"	0.0606618
))
(cobra (desc 5922.79) (sims
scorpion	0.102808
Apache	0.0905966
snake	0.0864885
viper	0.0788348
Huey	0.0717461
tarantula	0.0714355
rhinoceros	0.0687875
spider	0.0662429
rhino	0.0661446
crocodile	0.0654096
"fighter aircraft"	0.0646987
"black bear"	0.0639956
corvette	0.0638132
tortoise	0.0632145
leopard	0.0628337
serpent	0.0627707
Spalding	0.0622863
chinook	0.0611169
"South Lebanese Army"	0.0609189
Marehan	0.0598189
rattlesnake	0.0597168
alligator	0.0592687
Callaway	0.0582753
turtle	0.0580332
cheetah	0.0570301
"South Lebanon Army"	0.0569752
hare	0.0568515
bloodhound	0.0563254
"fire truck"	0.0562078
Dalmatian	0.0554576
zebra	0.0546857
salamander	0.0541341
Porsche	0.0534538
"container ship"	0.0524131
giraffe	0.0522203
deer	0.0518719
IAF	0.0518017
Interahamwe	0.0517094
gunboat	0.0515445
Rattler	0.0509874
reptile	0.0507029
lizard	0.0506744
rabbit	0.0505606
basij	0.050401
gazelle	0.0503111
"giant panda"	0.0502826
lynx	0.0500098
Macaque	0.0496691
Hummer	0.0494717
python	0.0493646
"South Vietnamese"	0.0487393
frog	0.0481738
Puma	0.0477229
Pony	0.0474885
Taleban	0.0472388
"sports car"	0.0469085
osprey	0.0463901
elephant	0.046258
monkey	0.0462164
MiG-@@	0.0460104
asp	0.0458118
Prowler	0.0456715
"rocket launcher"	0.0455417
"jet plane"	0.045527
Thunderbird	0.0454178
orangutan	0.0452511
"wild boar"	0.0451149
Centipede	0.0450562
ninja	0.0447193
"U.S. Coast Guard"	0.0446905
blimp	0.0445524
"patrol boat"	0.0444484
iguana	0.0443703
"American plane"	0.0442702
"Chinese Army"	0.0432467
"police dog"	0.0432305
Amal	0.0431927
ibis	0.0427051
Timorese	0.0424675
hovercraft	0.0423751
Druse	0.0423435
donkey	0.0422691
"Indian Air Force"	0.0421485
"fire engine"	0.0416986
midshipmen	0.0416333
"Afghan Taliban"	0.0415448
turboprop	0.0414133
destroyer	0.0413233
Sergio	0.0412647
owl	0.0410912
gunship	0.0406724
toad	0.0406709
piglet	0.0406491
kangaroo	0.0405148
Seizinger	0.0402662
parakeet	0.0401965
))
(Coburn (desc 3781.29) (sims
Kyl	0.111563
Dingell	0.106881
Gibbons	0.100649
"Matt Salmon"	0.0956622
R-Okla.	0.0913238
Waxman	0.0883202
Lautenberg	0.0848009
Moran	0.0821855
frist	0.0801618
Ciampi	0.0796003
"Tom Coburn"	0.0789896
Markey	0.0784206
Weinberg	0.0783482
Brundtland	0.0779216
Bateman	0.0772742
Bove	0.0772608
Talebi	0.0770174
"Lewis Yocum"	0.0769782
Chenoweth	0.0742358
Hayworth	0.0736736
Vogel	0.0728224
Boehner	0.0726963
Barrett	0.0726657
Rosenthal	0.0720858
Atwood	0.0708826
Zwick	0.0706818
Nolte	0.0697741
Siegel	0.0695866
Arens	0.0694212
McKellen	0.069283
Gramm	0.069016
Archer	0.0689796
D'Alessandro	0.0688741
Rubenstein	0.0684994
Iglesias	0.0680996
Nickles	0.0674226
Leahy	0.0673019
Healy	0.067234
Gaston	0.0671763
Weisman	0.0670927
Browne	0.0667662
Pollack	0.066757
Schaeuble	0.0666794
Thurmond	0.0661207
Ruehe	0.0656838
Silverstein	0.0656341
Finkel	0.0655438
"Zoe Lofgren"	0.0652838
Yavlinsky	0.0650763
Sheedy	0.0650496
Jaffe	0.0649984
Nethercutt	0.0646364
"Barnett Slepian"	0.0643981
Ashcroft	0.0643823
Barr	0.0642977
Brandt	0.0641159
Sobel	0.0639382
"Majority Whip Tom DeLay"	0.0639247
Coen	0.0634463
Siegelman	0.0633956
Loeb	0.0626789
Mustafa	0.0621219
Tarawneh	0.0619972
Nickerson	0.0618794
guo	0.0617395
Pfeiffer	0.0617113
Wolfensohn	0.0616842
Feingold	0.0615221
"Robert Bennett"	0.06123
Bloch	0.0610264
McLaughlin	0.0610018
Rau	0.0607103
Blatter	0.0607095
O'Neil	0.0605193
Lazarenko	0.0601692
Setzer	0.0601273
Rendell	0.0599013
Macdonald	0.0597793
Bartlett	0.0594781
Azizah	0.0594452
COYNE	0.0593556
Tanui	0.0592114
DiCicco	0.0592004
Walden	0.0590058
Ferrer	0.058961
Daschle	0.0588761
Kostov	0.0585623
Gullikson	0.0584866
Duffy	0.0584053
Hawke	0.0583483
Armey	0.058338
Shulman	0.058178
Molinari	0.0579106
Levin	0.0576578
Mahoney	0.0575933
Narayanan	0.0574499
Nateq-Nouri	0.0574319
Kostunica	0.0573233
"Gary Johnson"	0.0573044
Rosenblatt	0.0571692
Heinrichs	0.0571364
McCurry	0.0570583
Hutchison	0.0569734
Kasich	0.0567244
TALBOT	0.0566734
Butterworth	0.0566555
Moog	0.0565466
"Health and Welfare Ministry"	0.0565465
Moser	0.0564994
"David Jones"	0.0564861
Martz	0.0564504
Raitt	0.0564099
Hybl	0.0562217
Shamshad	0.0561311
Flockhart	0.0560588
Camdessus	0.0559697
Rosenberg	0.0558263
Hickman	0.0556698
Kline	0.0556161
Connerly	0.0555563
Jovanovic	0.0554818
Daniels	0.0554648
Sather	0.0554276
Joyner-Kersee	0.0552959
Bildt	0.0552665
McGinnis	0.0551618
JONAS	0.0551496
Meyers	0.0550462
Kaye	0.0548449
Waigel	0.0548135
Zuckerman	0.0545734
Brownback	0.054407
"De la Cruz"	0.0543906
McGregor	0.0543584
Segal	0.0543011
Dewine	0.054273
Easley	0.0542258
Snowe	0.0542215
Poole	0.0541447
Pippig	0.054118
Rahal	0.0540362
"Nancy Pelosi"	0.0540281
Merritt	0.0538087
Schroder	0.0537937
Greenwald	0.0537755
Cusack	0.0537393
Joklik	0.0537133
Feinstein	0.0537115
Peres	0.0537026
Harrick	0.0536947
Cowan	0.0536589
Faget	0.0536508
Beye	0.0535773
"Bill Thomas"	0.0534994
Osborne	0.0533168
Billick	0.0532346
Menino	0.0530726
Riggs	0.0530723
Shipley	0.0530347
Rollins	0.0529811
Suarez	0.0529588
Shelby	0.0529044
Knowles	0.0528869
Nemtsov	0.0528866
McCollum	0.0528723
Maslyukov	0.05285
Newman	0.0528144
Herzog	0.0527936
McGraw	0.0527305
Choate	0.0525726
Juppe	0.0525682
Gorman	0.0525491
craven	0.0524808
Insulza	0.0524622
Laudrup	0.052435
Leyland	0.0524225
Heston	0.052415
"Van Roost"	0.0523796
Gorton	0.0523131
Bowen	0.0522538
Nugent	0.0522408
Prueher	0.0522147
Noor	0.0521217
Donato	0.0520839
Braun	0.0520701
Shaheen	0.0520577
Mandelson	0.0520422
Tomlin	0.0520315
Lim	0.0519749
Bruton	0.0519195
Bergeron	0.0518979
McGuire	0.0518693
Fischer	0.0518602
Ruff	0.0518497
Hyde	0.0517656
Berman	0.0517234
Dodd	0.0516645
"Gregory Craig"	0.0516438
beamer	0.0516407
Fleischer	0.0516231
))
(cobweb (desc 2456.51) (sims
underbrush	0.0770834
lint	0.0638386
rust	0.0603213
"rain cloud"	0.0579702
"fresh breeze"	0.0559474
"storm cloud"	0.0551914
gunk	0.0547756
pinata	0.0526141
sawdust	0.0521529
"more than @@ tons"	0.0509208
yoke	0.0486572
hobo	0.0480313
mist	0.0477385
moustache	0.0475902
spammers	0.04753
icicle	0.0473439
mucus	0.0464614
houseplant	0.0458687
"pirate ship"	0.04573
"oil slick"	0.0454546
stench	0.0453065
derriere	0.0449316
"white line"	0.0448169
mustache	0.0443193
wisp	0.0440887
"monarch butterfly"	0.0437294
one-timer	0.0423069
sumac	0.0422622
"six kilometers"	0.0411174
whisker	0.0409947
"rough water"	0.0406604
Demjanjuk	0.0404155
Irishmen	0.0403088
popping	0.04028
))
(coca (desc 8445.92) (sims
"opium poppy"	0.319714
poppy	0.257182
"sugar cane"	0.203171
"coca crop"	0.194391
paddy	0.174365
sugarcane	0.170396
hemp	0.164312
opium	0.161331
"oil palm"	0.159129
cannabis	0.149703
soybean	0.145774
cotton	0.124744
wheat	0.123966
crop	0.12286
cassava	0.122487
cocoa	0.121463
maize	0.120378
corn	0.117395
Burley	0.116689
marijuana	0.110234
sorghum	0.109155
canola	0.10706
bhang	0.106511
"sugar beet"	0.105356
tobacco	0.103865
hashish	0.10305
buckwheat	0.101132
grape	0.0994908
fungus	0.0994361
smallholder	0.098621
alfalfa	0.0977601
plantation	0.0977229
cultivation	0.0971137
sunflower	0.0960952
oilseed	0.0949197
Mulberry	0.0941998
coffee	0.0925634
grain	0.0922107
kudzu	0.0908794
seedling	0.0902514
cacao	0.0879832
ginseng	0.0875955
orchid	0.0873064
marihuana	0.0866559
rice	0.0856125
barley	0.0847595
"paddy field"	0.0844447
banana	0.0833366
vine	0.0822751
vegetable	0.0816665
cranberry	0.0816405
farmland	0.0815567
seaweed	0.0802471
peony	0.0787616
agave	0.0786151
amphetamine	0.0781885
cocaine	0.0778477
clover	0.0776892
"drug problem"	0.0775323
narcotic	0.0774742
blueberry	0.0773456
cropland	0.0772588
CFCs	0.0768727
grass	0.0768256
"virgin forest"	0.0764982
fruit	0.0754258
khat	0.0750834
"drug trade"	0.0739581
camellia	0.0739405
timber	0.0738609
grapefruit	0.0729698
rinderpest	0.0723971
Milkweed	0.0721739
tea	0.071899
poplar	0.0714963
sisal	0.0714944
bean	0.0711565
potato	0.0701555
orchard	0.0700402
cashew	0.0696014
jute	0.0694365
ragweed	0.069415
flower	0.0685683
Livestock	0.0673912
poultry	0.0673844
weed	0.0668737
sapling	0.0665393
heroin	0.0660912
tulip	0.0657068
"dry land"	0.065365
bamboo	0.065355
"water hyacinth"	0.0650085
"palm oil"	0.0647852
watermelon	0.0630867
hydrangea	0.0630335
aquaculture	0.0629914
acreage	0.0629305
pine	0.0627801
lettuce	0.0625907
"animal husbandry"	0.061996
"wind power"	0.0616149
mushroom	0.0615644
"grazing land"	0.06154
pistachio	0.061208
chrysanthemum	0.06114
"food grain"	0.0610655
ginkgo	0.0606346
"cashew nut"	0.0605585
poliomyelitis	0.0602012
shellfish	0.059897
mango	0.0598656
planting	0.0595706
"rain forest"	0.0595367
"Lincoln Center Theater"	0.0594893
"raw material"	0.0594543
sugar	0.0590567
"drug business"	0.0586275
biomass	0.0585964
rapeseed	0.0585406
woodland	0.0584091
"marine animal"	0.0583699
herb	0.0580981
coconut	0.0575954
hay	0.057055
melon	0.0566897
hectare	0.0565394
"sweet potato"	0.0563482
"sweet corn"	0.0562174
methamphetamines	0.0560899
flax	0.0558594
"Vidalia onion"	0.0557171
mangrove	0.0557001
hyacinth	0.0552415
cane	0.0552359
Quince	0.0551727
ostrich	0.0551483
cactus	0.0551482
echinacea	0.0550853
sawgrass	0.0548472
LNG	0.0545658
illiteracy	0.0544605
shrimp	0.0544544
tomato	0.0543052
"hot pepper"	0.0542947
wildflower	0.0542414
grassland	0.0542391
hog	0.0540602
smallpox	0.0540565
citrus	0.0537911
peppermint	0.0537295
methamphetamine	0.0533921
"foot-and-mouth disease"	0.0532729
beet	0.0530659
sod	0.0529653
CPO	0.0528786
newsprint	0.052103
resin	0.0520379
shrub	0.0519781
cattle	0.0517367
eel	0.0517182
boxwood	0.0515995
litchi	0.0515714
"cultivated land"	0.0514566
redwood	0.0513283
vegetation	0.0512776
"nuclear energy"	0.050596
petrochemical	0.0505008
"coffee bean"	0.0504285
"land mine"	0.050279
sesame	0.0502081
forage	0.050203
strawberry	0.0496874
"tropical rain forest"	0.0496434
morphine	0.0495482
marshland	0.0495449
prawn	0.0494713
tapioca	0.0491834
leprosy	0.0491789
Coal	0.0491473
radish	0.0490356
plankton	0.0489454
biotech	0.0489019
sagebrush	0.0488101
oleander	0.0485848
berry	0.0483476
Broccoli	0.0483093
Vineyard	0.0482401
wasteland	0.0481473
peasant	0.0478634
locust	0.0477227
fern	0.0476895
uranium	0.0476138
"drug traffic"	0.0474456
plutonium	0.0473327
geranium	0.0473031
bulb	0.0472646
"fish meal"	0.0471747
wetlands	0.0471737
high-yield	0.0471199
dairy	0.0470722
))
("Coca Cola" (desc 5127.4) (sims
Coca-Cola	0.177097
"Pepsi Cola"	0.143451
Nestle	0.139429
coke	0.135192
Anheuser-Busch	0.127977
Cadbury	0.125487
Reebok	0.120187
"Philip Morris"	0.110678
Pepsi	0.110157
"General Electric"	0.109837
Budweiser	0.108082
Pepsico	0.108052
Xerox	0.107035
Mastercard	0.10476
"mineral water"	0.101381
Gatorade	0.100574
"Levi Strauss"	0.0998256
Ericsson	0.0984604
Kodak	0.0982645
Exxon	0.0982369
"General Motors"	0.0977842
"Coca-Cola Co."	0.096634
"Texas Instruments"	0.0951495
"United Technologies"	0.0949127
"Sara Lee"	0.094907
"Cadbury Schweppes"	0.0934164
Frito-Lay	0.0934071
Merck	0.0931079
"Procter &AMP; Gamble"	0.0930559
Heineken	0.0925927
Toshiba	0.0917487
Amoco	0.0899832
Siemens	0.0897267
Nortel	0.0888619
Motorola	0.0885
"Lucent Technologies"	0.0879161
"Eastman Kodak"	0.0879076
Chevron	0.087823
IBM	0.087711
Citibank	0.0870794
Cisco	0.0861283
"Ford Motor"	0.0851905
"Estee Lauder"	0.0843512
Alcatel	0.0840895
"soft drink"	0.0840365
Panasonic	0.0837841
"Mountain Dew"	0.0836921
ARCO	0.0835786
"Delta Air Lines"	0.0834287
L'Oreal	0.0831937
"International Paper"	0.0825414
Hewlett-Packard	0.0822747
Dupont	0.081745
Citigroup	0.081685
Samsung	0.0814934
"Burger King"	0.0811483
"Cisco Systems"	0.0810139
NIKE	0.0809474
Orangina	0.0800503
NTT	0.0799319
Colgate-Palmolive	0.0799212
Unilever	0.0796797
Scientific-Atlanta	0.0795354
Enron	0.0791109
Nokia	0.0789073
Philips	0.0786305
Nabisco	0.0781889
CCE	0.078088
"Ford Motor Co."	0.077984
Mobil	0.0777106
"Diet Coke"	0.0776489
DaimlerChrysler	0.0767796
BASF	0.0764744
Volkswagen	0.0763477
Compaq	0.0753278
Alcoa	0.0751805
Hitachi	0.0751031
"Royal Dutch/Shell"	0.0750792
"Coca-Cola Enterprises"	0.0747471
Sprite	0.0746843
"P&AMP;G"	0.0744713
MCDONALD's	0.074252
Gillette	0.073926
Mattel	0.07385
Fujitsu	0.0738271
Clorox	0.0737804
"spring water"	0.0736643
Novell	0.0734829
"Allied Signal"	0.0731544
UNOCAL	0.073121
Honeywell	0.0731139
"British Petroleum"	0.0731029
EMC	0.0727459
Esso	0.0726628
"American Express"	0.0723599
transnationals	0.0721119
Daewoo	0.0720912
NEC	0.0716096
"Compaq Computer"	0.0708865
Bayer	0.0708141
Checkfree	0.0708131
"Home Depot"	0.0705412
"HBO &AMP; Co."	0.0704084
"Delta Airlines"	0.0703135
G.M	0.0702637
Intel	0.0702038
Georgia-Pacific	0.0701717
Fiat	0.0699588
"Kentucky Fried Chicken"	0.0698822
"General Motors Corp."	0.0698655
Bridgestone/Firestone	0.0693212
Chrysler	0.0692276
"Union Carbide"	0.069052
"Liz Claiborne"	0.0688846
Unisys	0.0688717
"Eli Lilly"	0.0688712
NCR	0.0686147
"Taco Bell"	0.0685923
Matsushita	0.0685891
Rhone-Poulenc	0.0683891
"Du Pont"	0.0683198
Schering	0.0682321
Texaco	0.0682173
adidas	0.0680933
Monsanto	0.0677269
Pertamina	0.0675037
Renault	0.0672576
"Exxon Mobil"	0.0669977
HP	0.0668732
Softbank	0.0668411
vodka	0.0668106
"Nortel Networks"	0.066736
"Dell Computer"	0.0666813
"John Hancock"	0.0665422
"Lockheed Martin"	0.066466
"British Telecom"	0.0660484
"United Airlines"	0.0659172
"R.J Reynolds"	0.0658185
Chiquita	0.0656253
"Sun Microsystems"	0.0655838
Odwalla	0.0655422
"AMR Corp."	0.0652848
ABB	0.0652059
"Cox Communications"	0.0651081
Gerber	0.0651018
"Federal Express"	0.0650658
soda	0.0649707
"Merrill Lynch"	0.0649429
Lg	0.0649041
Bridgestone	0.0649022
"Bud Light"	0.064884
Sony	0.0646784
"Johnson &AMP; Johnson"	0.0645425
AIG	0.0643875
Sears	0.0643293
Evian	0.0641664
liquor	0.06401
MCI	0.063973
Boeing	0.0639693
Lucent	0.0638881
Lukoil	0.0637995
"GE Capital"	0.0637715
Hasbro	0.0635654
Opel	0.0632229
Sibneft	0.0630959
VW	0.0630272
"Mastercard International"	0.0629759
Kellogg	0.0628865
WorldCom	0.0628462
"Sony Corp."	0.0626282
"BP Amoco"	0.0625418
oracle	0.0624591
"Ocean Spray"	0.0622298
Intuit	0.0621411
"MCI WorldCom"	0.0619994
MetLife	0.0619797
ExciteAtHome	0.0619746
"Travelers Group"	0.0619103
Telefonica	0.0616957
"De Beers"	0.0615705
Hyundai	0.0612918
"Time Warner"	0.0611348
"Hewlett Packard"	0.0608719
Agip	0.0607663
Coors	0.0607129
Dell	0.0604927
beverage	0.0604236
Disney	0.0603471
Qualcomm	0.0601043
Aegon	0.0600759
"Chevron Corp."	0.0598334
Ge	0.0598023
Toyota	0.0590498
"Knight Ridder"	0.0589632
REVLON	0.0589005
"Honda Motor Co."	0.0588857
Livent	0.0588008
SGI	0.0587255
Amgen	0.058725
Novartis	0.0585235
))
("coca crop" (desc 1202.87) (sims
coca	0.194391
"opium poppy"	0.131645
"drug trade"	0.130984
poliomyelitis	0.127344
rinderpest	0.124778
"water hyacinth"	0.102765
"elephant population"	0.101853
"drug business"	0.0980047
canker	0.0949124
illiteracy	0.0943451
"contagious disease"	0.09358
"drug problem"	0.0930659
smallpox	0.0917103
poppy	0.09097
IDD	0.0866441
leprosy	0.0856304
"Faustino Asprilla"	0.0852534
"foot-and-mouth disease"	0.0851754
"Human Immunodeficiency Virus"	0.0805038
"land area"	0.076983
"animal disease"	0.0751593
"tax income"	0.0723616
wrongdoer	0.0719386
recidivism	0.071027
"virgin forest"	0.071009
"cultivated land"	0.0695374
"cancer cell"	0.0690731
"Export Processing Zones"	0.0682345
weevil	0.0677987
"drug lord"	0.0677711
"about @@,@@@ acres"	0.0652914
"vehicle sale"	0.065221
enrolment	0.0651779
"paddy field"	0.0648865
noncombatant	0.0642462
caseload	0.0634263
acreage	0.0633781
Rabies	0.0628756
"about @@@,@@@ acres"	0.0628271
Copt	0.0628077
"communicable disease"	0.062347
"more than @@,@@@ hectares"	0.0622979
"fertility rate"	0.0613977
"hair follicle"	0.0612808
"data file"	0.060996
"service area"	0.0606275
caseloads	0.0606121
"more than @,@@@ hectares"	0.0603221
"death tax"	0.0599941
"gross national product"	0.0597203
BSE	0.0593827
Lankford	0.0592941
"trade barrier"	0.0591591
"non-performing loans"	0.0587649
"drug traffic"	0.0585554
malignancy	0.0580214
"electric bill"	0.0578417
gnat	0.0568434
Hemlock	0.0558375
spindle	0.0550319
locust	0.0547714
CFCs	0.0546441
"military capability"	0.0545702
"rain forest"	0.0545625
"monarch butterfly"	0.0543217
poaching	0.0542293
"oil production"	0.0540968
vegetation	0.0536217
trachoma	0.0533761
capillary	0.0531567
"bank rate"	0.0531352
GNP	0.0529303
"Jeremy Giambi"	0.0528113
"housing sale"	0.0525335
"electrical device"	0.0520187
Aurilia	0.0519851
"AIDS virus"	0.0519205
guesswork	0.05188
"insurance premium"	0.0517555
larvae	0.0514967
"fire ant"	0.0513605
"oil pipeline"	0.0512663
"marketing cost"	0.0510639
"tax base"	0.0509189
"national income"	0.0509072
swapping	0.0508948
felling	0.0507797
cropland	0.0506852
serfdom	0.0505042
"Kurdish Workers"	0.0502358
"black market"	0.0501315
"air bubble"	0.0501295
"State Law and Order Restoration Council"	0.0499646
"brain cell"	0.0498749
sectarianism	0.0498627
"vital organ"	0.0497096
"money supply"	0.0495244
agave	0.04952
"drainage area"	0.0491302
Mockingbird	0.0490821
"steel production"	0.0490152
"Arctic Ocean"	0.0489395
infestation	0.0486053
"gold miner"	0.0484756
bullishness	0.0482277
"tropical rain forest"	0.048196
"Orthodox Christians"	0.0478022
"gambling casino"	0.0476025
fibroids	0.0472896
co-payments	0.047231
"nerve cell"	0.0471917
"old growth"	0.0468106
blackbird	0.0466685
"about @,@@@ acres"	0.0465842
"nuclear family"	0.0465538
"minke whale"	0.0465494
"coral reef"	0.0463964
snail	0.0462911
"line of business"	0.0459757
"cost structure"	0.0458629
"oil business"	0.0457575
"capital expenditure"	0.0456485
Mathews	0.0456024
protectionism	0.0455082
"trading activity"	0.0454822
non-Social	0.0454818
hostage-takers	0.0454437
him.	0.0454369
"industrial enterprise"	0.0453828
Knievel	0.0451587
squatting	0.0451525
"drug sale"	0.0450679
"Social Security benefit"	0.0448582
Dodik	0.0447888
copying	0.0447815
"gray whale"	0.0447559
Yucca	0.0447559
"operating expenses"	0.0447376
alfalfa	0.0446428
examinees	0.0446193
"electronics industry"	0.0445958
sugarcane	0.0444839
"Carlos Valderrama"	0.0442766
Arab-Americans	0.0442402
"horseshoe crab"	0.0440976
hyacinth	0.0440735
"Beibu Gulf"	0.0440507
ridership	0.0438872
Webdale	0.0438074
"center of gravity"	0.0437405
mangrove	0.0435048
"Shiite Muslims"	0.043501
rollovers	0.0433677
"foreign direct investment"	0.043343
"coho salmon"	0.0432541
whistleblowers	0.0431667
Baerga	0.0430622
"printing press"	0.0430346
"living thing"	0.042946
"sugar cane"	0.0428586
lobbying	0.0428318
"defense budget"	0.0428163
sweatshop	0.0427901
"more than @ million tons"	0.0427847
Ileto	0.0427266
banditry	0.0426646
variability	0.0424968
"Kai Tak Airport"	0.0424594
carmakers	0.0424265
Fryman	0.0424173
Lice	0.0423361
Burley	0.0423036
"over @@,@@@ tons"	0.0422174
non-Albanians	0.0421952
"poverty rate"	0.0421362
"Coptic Christians"	0.0421179
macro-economy	0.0419813
follicle	0.0419207
amphibian	0.0419056
"about nine"	0.0419036
tetanus	0.0417782
remoteness	0.0417575
paddy	0.0416653
Gunmakers	0.0414873
babble	0.0414293
Lecter	0.0413813
"personal property"	0.0412575
"domed stadium"	0.0412337
"malignant tumor"	0.0411664
mitochondria	0.0410342
termite	0.0409448
FDI	0.0408768
"property tax"	0.0405793
mildew	0.0405213
dandelion	0.0405069
scepticism	0.0404949
pathogen	0.0404412
"human race"	0.040383
"take-home pay"	0.0403759
verbiage	0.0403461
))
(Coca-Cola (desc 47630.9) (sims
coke	0.252276
"Coca-Cola Co."	0.195485
IBM	0.18256
"Coca Cola"	0.177097
Intel	0.174401
Pepsi	0.171847
Pepsico	0.169562
"General Electric"	0.169314
"Philip Morris"	0.162562
Hewlett-Packard	0.161666
"General Motors"	0.159055
Kodak	0.157471
"American Express"	0.156665
Motorola	0.154296
NIKE	0.148247
Dupont	0.148107
"Procter &AMP; Gamble"	0.144481
Microsoft	0.1442
Xerox	0.144076
Merck	0.141753
Exxon	0.13733
Compaq	0.136244
Boeing	0.135255
"Pepsi Cola"	0.134662
Citigroup	0.134637
Gillette	0.134162
BellSouth	0.131012
"Coca-Cola Enterprises"	0.130464
"Sara Lee"	0.128782
Chevron	0.128436
Pfizer	0.127593
"Lucent Technologies"	0.12751
Alcoa	0.126491
"Time Warner"	0.125275
Disney	0.124975
Monsanto	0.124669
Cisco	0.122257
Mattel	0.122248
Ford	0.120959
Reebok	0.11932
Anheuser-Busch	0.11914
"Johnson &AMP; Johnson"	0.116923
"Ford Motor Co."	0.116333
EMC	0.116156
"MCI WorldCom"	0.11605
Unilever	0.114986
"Cisco Systems"	0.114532
Wal-Mart	0.113859
"Walt Disney Co."	0.113071
"Bell Atlantic"	0.112949
GM	0.11269
"Dell Computer"	0.112285
DaimlerChrysler	0.112181
"America Online"	0.112137
"Home Depot"	0.112055
Honeywell	0.111944
oracle	0.111496
"J.P. Morgan"	0.111434
Aetna	0.110812
Dell	0.110668
Sony	0.110563
Cadbury	0.110291
CCE	0.110123
"BP Amoco"	0.109975
Ericsson	0.109459
"Merrill Lynch"	0.109169
MCDONALD's	0.109116
Budweiser	0.109025
company	0.10895
Texaco	0.108865
Chrysler	0.107738
"Ford Motor"	0.107442
UAL	0.107411
SBC	0.106932
Ge	0.10621
"American Home Products"	0.105945
WorldCom	0.105905
"Cadbury Schweppes"	0.105585
"P&AMP;G"	0.105508
Nestle	0.105409
"Microsoft Corp."	0.105045
"Intel Corp."	0.104916
Viacom	0.103665
"Eastman Kodak"	0.102658
Kellogg	0.102559
Mobil	0.102307
"Texas Instruments"	0.101811
Warner-Lambert	0.100981
Halliburton	0.100941
"Deutsche Telekom"	0.100837
Seagram	0.10075
ARCO	0.100637
"News Corp."	0.100559
Amazon.com	0.100136
BMW	0.0999592
"Sun Microsystems"	0.0997053
REVLON	0.099686
GTE	0.099476
Sunbeam	0.0990398
Raytheon	0.0987836
Nortel	0.0984312
"American Home"	0.0984135
McKesson	0.0981194
"General Motors Corp."	0.0976893
Enron	0.0972939
Lucent	0.0970328
"International Paper"	0.0969447
Georgia-Pacific	0.0968208
Volkswagen	0.0964243
AOL	0.0962737
RJR	0.0962157
Biogen	0.0959915
Yahoo	0.0959339
Qualcomm	0.0956125
TYCO	0.0954745
"soft drink"	0.0953492
Qwest	0.0953214
Bestfoods	0.0952969
Livent	0.0950457
Siemens	0.0948367
MCI	0.094609
Mannesmann	0.0946071
Lockheed	0.0941717
Clorox	0.0941448
Amgen	0.0932901
"RJR Nabisco"	0.0932628
Nabisco	0.0930798
Cendant	0.0926932
"Compaq Computer"	0.0923061
Amoco	0.0919683
Nokia	0.0918813
Lycos	0.0918746
Sears	0.0918633
Mastercard	0.0918546
sprint	0.0917459
"Lockheed Martin"	0.0916155
Genentech	0.0911753
AMR	0.0909637
Hasbro	0.0907247
BankBoston	0.0904288
"Hewlett Packard"	0.0896458
Netscape	0.0895687
Bristol-Myers	0.0894291
BankAmerica	0.088615
Daimler	0.0885605
"Bank of America"	0.0882176
Renault	0.0881964
CMGI	0.0881292
MindSpring	0.0880591
Maytag	0.0878769
"Times Mirror"	0.0877677
"Boeing Co."	0.0876031
Schering-Plough	0.0875788
"Deutsche Bank"	0.087509
Scientific-Atlanta	0.0874869
Citibank	0.0873991
"Fannie Mae"	0.0870721
NEC	0.0866478
"Levi Strauss"	0.0866253
Novell	0.0865798
firm	0.0865637
Ciena	0.0864079
Vodafone	0.0861921
Novartis	0.0860912
"Bristol-Myers Squibb"	0.0860042
Starwood	0.0859848
Toyota	0.0858845
"Bankers Trust"	0.0858623
Bertelsmann	0.0856573
"Burger King"	0.0855424
Volvo	0.0854566
SmithKline	0.085409
"Apple Computer"	0.0851017
"United Technologies"	0.0850483
"Morgan Stanley"	0.0850144
BofA	0.0848015
Bridgestone	0.0847934
"U S West"	0.0847613
Ameritech	0.0845859
Nextel	0.0843079
RealNetworks	0.0842623
Frito-Lay	0.0841104
TCI	0.0841015
Toshiba	0.0838614
Vivendi	0.0838028
EarthLink	0.0837131
ALZA	0.0834277
Alcatel	0.0833013
Seagate	0.0831369
Nissan	0.0829769
excite	0.0828133
"GE Capital"	0.0827871
"Computer Associates"	0.0825037
"Mountain Dew"	0.0824548
"Wells Fargo"	0.0824323
"Glaxo Wellcome"	0.0823246
"Eli Lilly"	0.0821805
"Union Carbide"	0.0821642
Mitsubishi	0.0821454
Verizon	0.08208
))
("Coca-Cola Co." (desc 8543.55) (sims
"Coca-Cola Enterprises"	0.206124
Coca-Cola	0.195485
Pepsico	0.189106
"Ford Motor Co."	0.150696
"Merck &AMP; Co."	0.142966
"Microsoft Corp."	0.142639
"Walt Disney Co."	0.141105
"Intel Corp."	0.141055
"Compaq Computer Corp."	0.137536
Cadbury	0.137367
CCE	0.135782
McKesson	0.134336
"HBO &AMP; Co."	0.132765
coke	0.131533
"Philip Morris"	0.130595
Pepsi	0.128957
"Computer Associates"	0.128319
Aetna	0.12728
"General Motors Corp."	0.126994
Unilever	0.125939
"Boeing Co."	0.125493
"General Electric Co."	0.124876
EMC	0.123233
"American Home Products"	0.121603
Anheuser-Busch	0.120524
"Procter &AMP; Gamble"	0.120015
"Seagram Co."	0.119933
"Sony Corp."	0.119856
"Delta Air Lines"	0.119624
"Oracle Corp."	0.118864
UAL	0.118476
"Cisco Systems Inc."	0.118098
Hasbro	0.11795
"Hearst Corp."	0.116261
"News Corp."	0.115973
"EMC Corp."	0.115218
Gillette	0.115134
"MindSpring Enterprises"	0.114959
Healtheon/WebMD	0.114242
Emulex	0.113654
Litton	0.113633
Georgia-Pacific	0.113338
"Motorola Inc."	0.113287
AMR	0.113144
Nortel	0.112988
Volkswagen	0.112495
Pfizer	0.111945
"Johnson &AMP; Johnson"	0.111902
Viacom	0.111852
Intel	0.111819
"Cadbury Schweppes"	0.11156
"Hewlett-Packard Co."	0.111358
"General Electric"	0.111242
"Aetna Inc."	0.111082
Seagram	0.110532
Bestfoods	0.110138
ENTREMED	0.110126
"J&AMP;J"	0.109829
"P&AMP;G"	0.109232
"Sara Lee"	0.108901
Monsanto	0.1089
Compaq	0.108866
"Sun Microsystems Inc."	0.108831
"Bell Atlantic"	0.107912
Seagate	0.10747
"Ford Motor"	0.106544
"AMR Corp."	0.106515
Amgen	0.106498
Cisco	0.10634
Novartis	0.106144
DaimlerChrysler	0.105894
"Glaxo Wellcome"	0.105699
"BP Amoco"	0.10565
Sunbeam	0.10558
Motorola	0.104842
"RJR Nabisco"	0.104708
"American Home"	0.104675
"Gap Inc."	0.104565
"Network Associates"	0.104458
"Raytheon Co."	0.10423
Olivetti	0.104127
"General Motors"	0.103867
MiniMed	0.103394
Exxon	0.103363
Citigroup	0.103273
"Pfizer Inc."	0.103168
Enron	0.103111
"Time Warner Inc."	0.102929
"Tribune Co."	0.102907
"MCI WorldCom"	0.10253
Vivendi	0.102432
AIG	0.102256
"Dell Computer Corp."	0.102233
SBC	0.102179
Halliburton	0.102113
Scientific-Atlanta	0.101993
"International Business Machines Corp."	0.101858
"Time Warner"	0.10179
Mattel	0.101789
"New York Times Co."	0.101657
GANNETT	0.10156
"Con Edison"	0.101544
"Lockheed Martin"	0.101327
Warner-Lambert	0.101131
IBM	0.100608
WorldCom	0.100458
Mannesmann	0.100423
Biogen	0.100339
Corel	0.099728
"Knight Ridder"	0.0993379
Kodak	0.0991629
Humana	0.0991562
Medtronic	0.0989113
"Y&AMP;R"	0.0985627
Starwood	0.0983872
Federated	0.0983449
MetLife	0.098318
"Mattel Inc."	0.0980709
"Nortel Networks"	0.097789
REVLON	0.0976715
"Bell Atlantic Corp."	0.0976135
BMW	0.0975466
"Deutsche Telekom"	0.0972432
"United Parcel Service"	0.0972221
LVMH	0.0970699
Hewlett-Packard	0.0968339
"Merrill Lynch"	0.0967091
"Boston Scientific"	0.0967032
"Coca Cola"	0.096634
"Times Co."	0.0966319
Daimler	0.0965409
Merck	0.0963152
Raytheon	0.0960701
"Cox Communications"	0.0957996
"Daimlerchrysler AG"	0.095238
Xerox	0.0952314
"Deutsche Bank"	0.095195
NIKE	0.0949109
"US West"	0.0948276
"Thermo Electron"	0.0947964
"Time Inc."	0.0947326
BankAmerica	0.0945635
MindSpring	0.0945247
"IBM Corp."	0.0944836
Alcoa	0.0943381
Telefonica	0.094183
BellSouth	0.0940591
"Saatchi &AMP; Saatchi"	0.0940589
"First Union"	0.0940019
Livent	0.0939484
Cendant	0.0939243
VENATOR	0.0935759
ARCO	0.0935221
AHP	0.0934336
Cabletron	0.0932834
Aegon	0.0930835
"Home Depot"	0.0929953
Genentech	0.0929041
Ameritech	0.0924926
"Levi Strauss &AMP; Co."	0.0924671
Novell	0.0924359
"UAL Corp."	0.0924213
"Silicon Graphics"	0.0924059
RJR	0.0923396
"T Corp."	0.0923068
"Morgan Stanley"	0.0919847
Nabisco	0.0919334
"Lucent Technologies"	0.0918869
Microsoft	0.0918465
Lockheed	0.0915448
Norwest	0.0909231
"Pepsico Inc."	0.0909185
Autodesk	0.090794
Checkfree	0.0906441
"Times Mirror"	0.0904995
Texaco	0.0904911
"SmithKline Beecham"	0.0902121
"Continental Airlines"	0.0901456
Alcatel	0.0900567
Frito-Lay	0.0893833
"Telecom Italia"	0.0890109
"State Farm"	0.0889112
"Federated Department Stores"	0.0888153
Genzyme	0.0883755
TYCO	0.0882661
"GE Capital"	0.0881686
Bertelsmann	0.0880925
"Apple Computer"	0.0880446
"Lockheed Martin Corp."	0.0880421
"De Beers"	0.0879307
oracle	0.0877685
"Learning Co."	0.0877239
Ericsson	0.0876881
WPP	0.087617
Chrysler	0.0873654
Bridgestone	0.0873416
UBS	0.0872508
SmithKline	0.0871757
"Viacom Inc."	0.0870259
NatWest	0.086959
))
("Coca-Cola Enterprises" (desc 4292.26) (sims
CCE	0.250035
"Coca-Cola Co."	0.206124
bottler	0.173019
Pepsico	0.172472
"New York Times Co."	0.138435
Nabisco	0.137776
"HBO &AMP; Co."	0.132004
Coca-Cola	0.130464
Cadbury	0.130335
Publicis	0.126962
"AMR Corp."	0.125681
"Pepsico Inc."	0.124928
"Times Co."	0.123996
UAL	0.123971
"MindSpring Enterprises"	0.122156
bottlers	0.121203
Equifax	0.119794
AMR	0.117338
Agilent	0.114896
"Eastman Kodak"	0.113906
"Philip Morris"	0.113377
McKesson	0.113193
"American Home Products"	0.112402
"Y&AMP;R"	0.11211
"Procter &AMP; Gamble"	0.111606
"Cox Communications"	0.111295
Gillette	0.111165
"MCI WorldCom"	0.110664
"Sara Lee"	0.110359
"P&AMP;G"	0.110017
Pepsi	0.109895
"Motorola Inc."	0.109557
"Phelps Dodge"	0.108409
WebMD	0.108404
"Berkshire Hathaway"	0.107926
"UAL Corp."	0.107569
"General Electric"	0.107207
"Southern Co."	0.107027
GANNETT	0.106038
SmithKline	0.105745
"Gap Inc."	0.105429
Monsanto	0.104993
Corning	0.104731
"Securities Industry Association"	0.103951
Georgia-Pacific	0.103736
"Gillette Co."	0.103455
"Koch Industries"	0.103377
Medtronic	0.103071
"Hearst Corp."	0.102695
Litton	0.10222
"Delta Air Lines"	0.101794
"Con Edison"	0.101703
"United Parcel Service"	0.101573
Pfizer	0.101211
"BP Amoco"	0.10119
"American Bankers Association"	0.101169
"Network Associates"	0.10085
AIG	0.100816
"Times Mirror"	0.100364
Viacom	0.0999673
Bestfoods	0.0998526
"General Motors Corp."	0.0995691
BellSouth	0.0994543
"Walt Disney Co."	0.0991527
"Dell Computer Corp."	0.0991152
Genzyme	0.0988457
VISTEON	0.0986704
BankAmerica	0.0985147
Exxon	0.0984071
RJR	0.0974106
"News Corp."	0.0971169
"Learning Co."	0.0970831
"American Home"	0.096081
Mattel	0.0960707
"General Electric Co."	0.0959604
Delphi	0.095781
NiSource	0.0954599
SkyTel	0.0952152
DrKoop.com	0.0948262
Emulex	0.0947737
coke	0.0946997
"RJR Nabisco"	0.0946245
"Ford Motor Co."	0.0942857
Genentech	0.0942293
"International Paper"	0.0941936
Federated	0.0940069
Lockheed	0.0934043
"Johnson &AMP; Johnson"	0.0933672
"Chevron Corp."	0.093192
"U.S. Trust"	0.093099
"Oracle Corp."	0.0930606
"U S West"	0.0928525
Kodak	0.0925131
Unilever	0.0924277
"Department of Corrections"	0.092401
MindSpring	0.0922633
CMGI	0.0922629
"Tribune Co."	0.0921181
Sunbeam	0.0919923
"Times Mirror Co."	0.0918413
Seagram	0.0917308
MiniMed	0.091652
"Glaxo Wellcome"	0.0916188
WPP	0.0916122
"Home Depot"	0.0916018
"Texas Department of Public Safety"	0.0913693
Anheuser-Busch	0.0911542
"National Republican Congressional Committee"	0.0910386
Cendant	0.0909768
"Federated Department Stores"	0.0909174
Tenneco	0.0906785
Vivendi	0.0906714
"Computer Associates"	0.0904499
Texaco	0.0903762
"U.S. Immigration and Naturalization Service"	0.0903725
Omnicom	0.0903513
"National Semiconductor"	0.0902741
"Sprint PCS"	0.0899371
"Network Solutions"	0.0899315
"True North"	0.0899079
"Bear Stearns"	0.0897834
"Port Authority of New York"	0.0895964
ARCO	0.089406
"General Motors"	0.0893325
"Thermo Electron"	0.0891087
"holding company"	0.0888861
Citigroup	0.088865
NatWest	0.088744
"National Grid"	0.0886441
"Airport Authority"	0.0885873
NORTHROP	0.0884631
"three units"	0.0883328
"Viacom Inc."	0.0882412
"Delphi Automotive Systems"	0.088216
"Rite Aid"	0.0881407
"Union Carbide"	0.0880426
Amgen	0.0879859
"Royal Bank"	0.0878755
Warnaco	0.087817
MetLife	0.0878054
"Northeast Utilities"	0.08747
SunTrust	0.0872938
Mannesmann	0.0871124
Bridgestone	0.086868
"Waste Management"	0.0868444
Ciena	0.0863012
Qualcomm	0.0860672
Heinz	0.0860036
Healtheon/WebMD	0.0859075
REIT	0.0858745
Vodafone	0.0855373
"Sony Corp."	0.0854354
TYCO	0.0853659
Sears	0.0853317
Kellogg	0.0852034
Humana	0.0851693
"Merrill Lynch"	0.0851408
"CBS Corp."	0.0850098
Conseco	0.0848818
Aetna	0.0848587
Xerox	0.084841
"Cadbury Schweppes"	0.084696
Asarco	0.0845162
"Knight Ridder"	0.0844349
"Con Ed"	0.0842211
Chevron	0.0840924
LTCB	0.08408
EarthLink	0.0840462
"Bell Atlantic"	0.0839998
Hewlett-Packard	0.0839456
"Boston Scientific"	0.0837705
"Deutsche Telekom"	0.0835977
"Sydney Organizing Committee"	0.0833983
Merck	0.0833948
Motorola	0.0831855
"Telecom Italia"	0.0830974
Petrofina	0.0829703
"Barnes &AMP; Noble"	0.0827114
"Time Warner"	0.0826871
Warner-Lambert	0.082481
"Dow Chemical"	0.0824787
"Lockheed Martin"	0.0824039
"Seagram Co."	0.0823403
UBS	0.0823263
Albertson's	0.0822593
"Warner-Lambert Co."	0.0819634
REVLON	0.0818402
"US Airways"	0.0817363
"Air Canada"	0.0816105
WorldCom	0.0814911
Inc.	0.0814826
Webvan	0.0814406
"Western Union"	0.0813774
Allstate	0.0813215
"American Express"	0.081225
Wyeth-Ayerst	0.0811759
"America Online Inc."	0.0809653
"First Union"	0.0807338
Lycos	0.080561
"Xerox Corp."	0.0805032
))
(cocaine (desc 57227.8) (sims
heroin	0.398115
marijuana	0.318269
hashish	0.270885
narcotic	0.23449
opium	0.224525
drug	0.219672
amphetamine	0.216586
methamphetamine	0.210457
cannabis	0.203818
alcohol	0.177629
morphine	0.165565
explosive	0.162533
ecstasy	0.160588
LSD	0.14562
methamphetamines	0.129945
steroid	0.120151
firearm	0.117632
cigarette	0.116453
uranium	0.112223
"hard drug"	0.109266
marihuana	0.108363
plutonium	0.104911
tobacco	0.10465
substance	0.10324
goods	0.102995
stimulant	0.101298
GHB	0.100144
crack	0.0999627
pill	0.0998782
caffeine	0.099168
ephedrine	0.0986848
nicotine	0.0976177
contraband	0.0973819
ketamine	0.0961479
cargo	0.0956865
opiate	0.0956244
meth	0.0942568
sugar	0.0941361
"drug trafficking"	0.0937076
chemical	0.0936037
food	0.0933834
weapon	0.0928438
tablet	0.0918715
gun	0.0913319
oil	0.0911511
ammunition	0.0910758
diamond	0.0897553
dynamite	0.0869002
dope	0.0854647
fuel	0.0839224
EPO	0.0835012
trafficking	0.0832589
smuggling	0.0829589
powder	0.0812098
handgun	0.081032
material	0.0808872
khat	0.0804304
liquor	0.0801814
viagra	0.0797469
grain	0.0790927
rice	0.078647
nandrolone	0.0779587
coca	0.0778477
coffee	0.077672
"plastic explosive"	0.0775815
"opium poppy"	0.0773138
gold	0.0768888
Valium	0.0768566
pornography	0.0767367
gasoline	0.0765142
meat	0.0763226
fertilizer	0.0758999
Coal	0.0747915
"explosive device"	0.0746134
gas	0.07426
medicine	0.073772
cyanide	0.0736933
asbestos	0.0735808
caviar	0.0734561
testosterone	0.073156
Beer	0.0728519
equipment	0.072405
Ritalin	0.0720876
pesticide	0.0719799
shipment	0.0719421
commodity	0.0719308
beef	0.0713167
cash	0.0711123
medication	0.070755
"crude oil"	0.0706454
painkiller	0.0705264
product	0.0704936
supply	0.0703031
"nerve gas"	0.0701887
"natural gas"	0.0698045
condom	0.0696695
ivory	0.0691889
"human growth hormone"	0.0689871
merchandise	0.0683866
gambling	0.0681901
shoplifting	0.0681116
theft	0.0679328
maize	0.0677548
flour	0.0677523
money	0.0677404
wheat	0.0675644
Garbage	0.0675413
methadone	0.0671204
creatine	0.0669613
waste	0.0663074
hormone	0.0662655
steel	0.06613
immigrant	0.0659862
protein	0.0659804
pistol	0.0658403
item	0.0656292
jewelry	0.0655488
booze	0.0651891
VCDs	0.0648293
"wheat flour"	0.0644698
prostitution	0.0643693
paraphernalia	0.0641709
bomb	0.0641368
fish	0.0638323
"drug trafficker"	0.0637335
"drug use"	0.0630231
crime	0.0629368
quantity	0.0628968
androstenedione	0.0627816
container	0.0627287
tranquilizer	0.0627121
possession	0.0625386
"prescription drug"	0.0625118
poison	0.0625034
racketeering	0.0623402
"motor vehicle"	0.0621232
"tax evasion"	0.0620214
aspirin	0.061982
"stolen property"	0.0615991
timber	0.0614296
arm	0.0613589
burglary	0.0612746
"carbon dioxide"	0.0612655
"money laundering"	0.0612623
fruit	0.061226
acid	0.0611516
vegetable	0.0608937
sex	0.060883
extortion	0.0606341
"raw material"	0.0604188
fraud	0.0599279
antibiotic	0.0594196
metal	0.05926
bribery	0.0592014
newsprint	0.0591376
oxygen	0.058916
"organized crime"	0.0588457
resin	0.0587147
cotton	0.058689
petroleum	0.0585919
foodstuff	0.0584577
tea	0.0584182
toxin	0.0583868
"fuel oil"	0.0582659
property	0.0582557
kg	0.0581292
consignment	0.0581107
Coin	0.0579214
antibody	0.0577021
smuggler	0.0576683
Copper	0.057642
vitamin	0.0572995
banana	0.0572744
conspiracy	0.0571819
aid	0.0570639
driving	0.0567994
"soft drink"	0.0567115
insulin	0.0566679
hemp	0.056642
fat	0.0565171
paste	0.0565151
kidnapping	0.0563465
bacteria	0.0562397
Clothing	0.0562177
wine	0.0561454
AZT	0.0561378
smoking	0.0560194
anthrax	0.0559257
fiber	0.0559161
"food aid"	0.0558369
rifle	0.0558294
shrimp	0.0557924
milk	0.0556431
virus	0.0555924
pork	0.0555367
arsenic	0.0555291
electricity	0.0555262
felony	0.0553028
ICE	0.0552765
Cigar	0.0549811
))
(Cochabamba (desc 1565.31) (sims
Cebu	0.180821
Isfahan	0.167305
Bamiyan	0.167003
Yekaterinburg	0.164521
Davao	0.160453
Izmit	0.145859
Antalya	0.141178
Lucknow	0.139659
Novosibirsk	0.137868
Krasnoyarsk	0.134289
Ndola	0.133882
"La Paz"	0.13386
Huambo	0.130707
Mandalay	0.126588
Izmir	0.126569
Beira	0.126513
Merida	0.126442
Cartagena	0.123857
Aswan	0.1222
Phuket	0.117928
Catania	0.117594
Benguela	0.117112
Kabwe	0.116808
Kandy	0.116375
Bulawayo	0.115648
sucre	0.115277
Multan	0.113713
Baalbek	0.111784
Nago	0.111633
Puebla	0.109848
Andulo	0.109839
Golmud	0.109761
"CHIANG MAI"	0.109702
Murmansk	0.109638
Kisumu	0.108181
Bailundo	0.106405
Sakhalin	0.106254
Dodoma	0.105274
"San Pedro Sula"	0.10486
"San Cristobal"	0.103918
Jinja	0.103348
Gudermes	0.103223
Pattaya	0.103188
"Santa Cruz"	0.102365
Tapachula	0.101586
Ismailia	0.100291
Nagoya	0.0999149
Aqaba	0.0995136
Bushehr	0.0993691
Posoltega	0.0985209
Rafah	0.0978363
Herat	0.09771
"Algerian capital"	0.0977092
Jeddah	0.0973334
Jalalabad	0.097333
Suez	0.097251
Diyarbakir	0.0969148
Shiraz	0.0962401
"Siem Reap"	0.0957109
Guayaquil	0.0956633
"Chiang Rai"	0.0953638
Makeni	0.0953418
Weifang	0.0950779
Zamboanga	0.0943962
Calcutta	0.0939423
Cordoba	0.093931
"Nigerian capital"	0.0938094
Najaf	0.0936105
Basra	0.0934964
Golcuk	0.0932143
Beidaihe	0.0927563
Trieste	0.0924818
Mosul	0.0923847
Baotou	0.0904818
Khabarovsk	0.0901811
Tigray	0.0898304
Christchurch	0.0888742
Sirte	0.0887553
Khulna	0.0882812
Salzburg	0.0879569
Tangshan	0.0874637
BLANTYRE	0.0868069
Kuito	0.0868021
Antioquia	0.0866404
Ashkhabad	0.0864382
Yichang	0.0858749
CANCUN	0.0855281
Vojvodina	0.0852871
Leskovac	0.0851586
"Surat Thani"	0.0849282
Adana	0.0848996
Yogyakarta	0.0847644
el-Sheikh	0.0847465
Qom	0.0846464
Durban	0.0844318
Lianyungang	0.0841849
Taba	0.0838677
Batam	0.0838111
Kailahun	0.0837707
MONTEVIDEO	0.0831257
Lyon	0.0828727
Bursa	0.0828208
Veracruz	0.0826959
Mashhad	0.0826158
Maastricht	0.0825513
Dushanbe	0.0822876
Sapporo	0.081847
Mazar-i-Sharif	0.0818445
Bolivar	0.0809362
"Banja Luka"	0.0806162
NIS	0.080288
Chennai	0.0801058
Gnjilane	0.0800663
Florence	0.0799794
"Egyptian capital"	0.0799215
Wenzhou	0.0791165
Tete	0.0787605
Argun	0.0780942
Lumbini	0.0780444
Surabaya	0.0779419
"Malaysian capital"	0.0772415
Fukuoka	0.0769556
Vientiane	0.0769087
Chisinau	0.076745
mid-December	0.0761767
"Mount Lebanon"	0.0761722
Kandahar	0.0758929
Changsha	0.075889
PALERMO	0.0757694
Gdansk	0.0756403
Zhangjiakou	0.0754931
Valparaiso	0.0753497
Bandung	0.0751432
Accra	0.074862
Kragujevac	0.0747799
Basle	0.0743866
Guiyang	0.0742622
Burgos	0.0741077
Irbil	0.0739041
Batticaloa	0.073745
Liuzhou	0.0736262
Salonika	0.0733751
Pusan	0.0733497
Khost	0.0732466
Entebbe	0.0731487
Lucerne	0.0730881
Lahore	0.0729784
Utrecht	0.0728314
Larnaca	0.0727162
BIE	0.0726287
Anshan	0.0726111
Saida	0.0724735
Zhuhai	0.0723914
MAPUTO	0.0723862
Vladivostok	0.0722905
Hannover	0.0720145
Kuching	0.0718062
Jericho	0.0715872
Salonica	0.0715793
Weimar	0.0713849
Edinburgh	0.0712597
Bingol	0.0711992
Cabinda	0.0711987
Malaga	0.0711613
Quanzhou	0.0711159
Katanga	0.0709046
Muscat	0.0704703
Bergen	0.0703013
PATNA	0.0702357
Astana	0.070214
"Ciudad Juarez"	0.0700503
Livingstone	0.0699259
Nyanza	0.0698746
Shali	0.0697949
Tachilek	0.069752
Kraljevo	0.069621
Chiba	0.0694594
Cotabato	0.0691095
Beersheba	0.069039
Sevastopol	0.0690369
Nablus	0.0687594
Casas	0.0685167
Xigaze	0.0685106
Bali	0.0684623
Datong	0.0681114
Rawalpindi	0.0681043
Wuxi	0.0680269
Qinhuangdao	0.0679274
Kitwe	0.0679189
Aachen	0.0675317
"April, @@@@"	0.0673399
Vladikavkaz	0.0672719
Sochi	0.0672439
Bangalore	0.0671967
Chengde	0.0671231
Valletta	0.0668364
Ashkelon	0.0668029
Sulu	0.0667968
Nazareth	0.066671
Ur	0.0662794
))
(cochairman (desc 1252.89) (sims
co-chairwoman	0.175591
co-chairman	0.172139
co-chairs	0.159095
co-chair	0.125777
co-chairmen	0.114183
chairwoman	0.0756878
forming	0.0726786
"first Head"	0.0713986
co-manager	0.0704071
disbandment	0.0603985
co-owner	0.0597755
"Abby Joseph Cohen"	0.0586618
co-president	0.0556866
disavowal	0.0530942
foretaste	0.0528603
"organic law"	0.0513667
three-fifths	0.0511465
notary	0.0510138
"Orthodox Jew"	0.0507281
"vice- chairman"	0.0506319
depository	0.0506152
"Black Panther"	0.0498778
"executive secretary"	0.0495837
iteration	0.0489812
"law partner"	0.0477737
"certified public accountant"	0.047492
"third night"	0.0470272
reshuffling	0.0466787
"chairman emeritus"	0.0464772
householder	0.0463149
"deputy sheriff"	0.0458982
establishing	0.0457462
"World Bank Group"	0.0454247
co-counsel	0.045401
initiator	0.0446184
"insurance regulator"	0.0442679
subbing	0.0433575
trashing	0.0433081
"NFL Players Association"	0.043282
co-leader	0.0425912
disbanding	0.0402021
))
(Cochran (desc 2932.03) (sims
Hagel	0.107801
Edelstein	0.107137
Allard	0.104916
McConnell	0.0973642
Murr	0.0967014
Alioto	0.0929931
"Johnnie Cochran"	0.0919408
Mineta	0.0915914
Brownback	0.0915708
Kyl	0.09011
Steinberg	0.089333
Podesta	0.0890786
Grassley	0.0877851
Welch	0.0854454
Myhrvold	0.0839466
Scruggs	0.0838251
frist	0.0837435
Snowe	0.0834381
Ickes	0.0833451
Nickles	0.083072
Blackman	0.0827742
Ashcroft	0.0822887
"De Klerk"	0.0813194
Hobson	0.0804013
Ivey	0.0802824
Kornberg	0.0797271
Murkowski	0.0792244
Inhofe	0.0792148
Fagan	0.0788415
Edelman	0.0776337
Chafee	0.0776292
Bassett	0.0772381
Breuer	0.0771655
Petersen	0.0770176
Havelange	0.076447
Gregg	0.0763873
Greenberg	0.0760283
Barr	0.0758537
Nanula	0.0753282
Hirsch	0.0752308
Dinkins	0.0748519
Ruthardt	0.0746462
Horowitz	0.0745602
Eisner	0.074403
Hutchinson	0.0743369
Ruehe	0.074317
McAuliffe	0.074278
O'Neil	0.0741858
Ritter	0.073959
Levin	0.0739487
Dewine	0.0738415
Kurtz	0.0732176
Hersh	0.0728006
MacKay	0.0721332
Zucker	0.071723
Bloch	0.071695
Craig	0.0715441
Lindsey	0.0710669
Levitt	0.0709761
Feldman	0.0707836
Snyder	0.070735
nance	0.0706258
Solomon	0.0705311
Gifford	0.0702946
Kendall	0.0702804
Sharpton	0.0702247
"Al Fayed"	0.0701927
Barbour	0.0698631
Burkett	0.069813
Rosenblatt	0.0696916
Qureshi	0.0696113
Grossman	0.0694008
Kerrey	0.0692908
SCI	0.0691905
Trie	0.0688595
Mukora	0.0685947
hale	0.0680031
Cao	0.0679712
Jaffe	0.0677673
Ganga	0.0677303
Caddell	0.0674735
Blackwell	0.067457
McDonnell	0.0673457
Mahoney	0.0673156
Meskini	0.0672424
McCollum	0.0670364
Forrest	0.0669632
Margolis	0.0669516
Kopp	0.0669006
Greenwald	0.0667587
Haskins	0.0666432
Ciampi	0.0665847
Hamid	0.0664308
Stahl	0.0664195
Moynihan	0.0662867
Thayer	0.0662667
Berman	0.0662526
Harrell	0.0662316
Robson	0.0661915
Kessler	0.0661525
Santorum	0.0661026
Autry	0.0659932
Mullen	0.0656662
Rubin	0.0655215
Daschle	0.0654546
Kaplan	0.0654097
Shapiro	0.0653269
Squier	0.0653116
Ghani	0.0651985
Barton	0.0651074
Kingsley	0.0650761
Leahy	0.0650345
Dowd	0.0647888
Rahal	0.064655
Fitzgerald	0.0645905
Atwater	0.064541
Drabinsky	0.0643744
Isner	0.0641509
Finkelstein	0.0639536
Coverdell	0.0639413
Blume	0.0639274
Dooley	0.0638112
Velayati	0.0638067
Rosenberg	0.0637344
Advani	0.0635139
Jewell	0.063366
Atwood	0.0632539
Keating	0.063225
"Robert Bennett"	0.0631658
Lugar	0.0631099
Helms	0.0629705
Hamlin	0.0628463
LU	0.0627734
Levine	0.062561
Perkins	0.0625119
Mikhailov	0.0623295
wheeler	0.06232
Macdonald	0.0623115
Cubas	0.0622797
LeBlanc	0.0622427
Meriwether	0.0622423
Deutsch	0.0622357
Rowan	0.0622309
Voinovich	0.0620852
Lott	0.062076
Whipple	0.0619987
Berger	0.0619262
BENSON	0.0619257
Harkin	0.0619256
Rosenthal	0.0618877
Hutchison	0.0618755
Bradshaw	0.0617745
prentice	0.0616963
Folkman	0.0615813
Shearer	0.0615328
Hou	0.0614882
Parrish	0.0614247
Parrott	0.061396
Jarvis	0.0613894
Wyly	0.0613739
Zarb	0.0612166
Spitzer	0.0612082
Rooney	0.0611422
Ovitz	0.0609558
ACLU	0.0606597
Cortines	0.0606206
Shinn	0.0606197
Providian	0.0605624
Mendes	0.0605469
Segal	0.060463
Bennett	0.0603869
Winkler	0.0603546
Spence	0.0602764
Matthews	0.0602104
Hodler	0.0601848
Meeks	0.0601054
Maddox	0.0600904
Goh	0.0599957
Hess	0.0599709
Sandler	0.0598749
Gorman	0.059838
Moceanu	0.0597744
Oliver	0.0597632
Domenici	0.0597555
Conroy	0.0597002
Ivester	0.0596351
Donahue	0.0596254
Roberts	0.0595548
Vasquez	0.059549
Arnett	0.0595316
Granik	0.0595193
Gauthier	0.0595118
DeFrantz	0.0595095
"Lee Hsien Loong"	0.0594773
Tarver	0.0594661
Walsh	0.0593688
hodgson	0.0593445
Ainge	0.0593174
Galvin	0.0593163
Stevens	0.0592295
))
(cock (desc 2211.95) (sims
rooster	0.141554
"Next Generation"	0.0552914
"key rate"	0.0543839
"bank rate"	0.0494423
"milk cow"	0.0485444
donkey	0.0481587
ox	0.0480953
Golota	0.047612
geese	0.0474581
Popovich	0.0471782
Macaque	0.0457604
geezer	0.0451803
"race horse"	0.0448119
"domestic animal"	0.0447062
Gibbon	0.0445287
squall	0.0443283
"Kim Taek Soo"	0.0437109
llama	0.0429322
burro	0.0426833
Katrina	0.042364
mushers	0.0416663
hen	0.0410706
plowing	0.0409984
Gatti	0.0404118
hamster	0.0403154
oxen	0.0403116
))
(cockatoo (desc 1367.34) (sims
macaw	0.132899
parakeet	0.116524
iguana	0.112573
parrot	0.108741
ibis	0.0983115
Finch	0.086192
python	0.082771
"golden retriever"	0.073515
"Rolls Royce"	0.0666578
plumage	0.0642188
heron	0.0613955
pug	0.0613763
"Lincoln Town Car"	0.0606911
poodle	0.0598468
"felt hat"	0.0588957
Pelican	0.0585076
BOA	0.0566747
Mississippian	0.0543697
mantelpiece	0.0533042
roaster	0.0529191
hummingbird	0.0524688
bodysuit	0.0522749
"Labrador retriever"	0.0510723
"grand piano"	0.0509029
aldermen	0.0508979
caftan	0.0494738
Centipede	0.0493941
JAT	0.0493045
"Bengal tiger"	0.0492759
candelabra	0.0491985
hedgehog	0.0487602
orb	0.04778
"burial ground"	0.0475573
nobleman	0.0472712
"Ford Mustang"	0.0469163
Thunderbird	0.0465732
undershirt	0.0460101
turban	0.045458
marketeers	0.0451422
splotch	0.0448326
"robbery suspect"	0.044748
koala	0.0447271
vas	0.044652
"plantation owner"	0.0441402
streamer	0.0440922
"water fountain"	0.0440794
motorcyclist	0.0439954
STETSON	0.0437678
armband	0.0432466
"Lincoln Navigator"	0.0430264
Labrador	0.0429681
"snow leopard"	0.0428197
"bow tie"	0.0426579
"moving van"	0.0426426
"stiletto heel"	0.0418891
stork	0.0415272
camisole	0.0414304
commode	0.0411456
bustier	0.0410554
"lounge chair"	0.0410266
hyena	0.0408273
courtesan	0.0407389
"pants suit"	0.0406366
"Chevrolet Suburban"	0.0405731
corvette	0.0405133
intelligentsia	0.040407
hearse	0.0403808
cabinetmaker	0.0403076
"beach ball"	0.0402453
whaler	0.0401975
"evening bag"	0.0400834
))
(cockfighting (desc 1497.85) (sims
"corporal punishment"	0.0995784
polygamy	0.089727
bullfighting	0.0811567
prostitution	0.0779358
"fox hunting"	0.0759701
betting	0.0757837
sodomy	0.0751287
carrying	0.0742588
poker	0.0737983
importing	0.0655173
"gambling casino"	0.0632801
"capital punishment"	0.0628028
andro	0.0601634
RAF	0.0599275
CFCs	0.0592106
"Muslim Brotherhood"	0.0584498
Shays-Meehan	0.057523
"Welfare Party"	0.0558235
"Kurdish Workers Party"	0.0556372
androstenedione	0.0535822
"racial segregation"	0.0531541
"horse racing"	0.0525427
GHB	0.0515549
"Kurdish Workers"	0.0506636
segregation	0.0495795
"Islamic Salvation Front"	0.0495737
"slot machine"	0.0495013
Jorgensen	0.0492853
EPZ	0.0492025
"card game"	0.0490892
turbot	0.0489672
"water polo"	0.0485452
"Islamic Welfare Party"	0.0483351
militarization	0.0482589
"Michelle Smith"	0.0478212
"Di Canio"	0.0476799
vending	0.047678
chariot	0.0475452
watercraft	0.0466415
slime	0.0456087
Kai	0.045077
Veerappan	0.0449698
chicanery	0.0447286
"executive agency"	0.0446231
circumcision	0.0444276
Tous	0.0440745
"nuclear explosion"	0.043649
"ballroom dancing"	0.0430341
Bund	0.0429977
Porn	0.0428318
Opry	0.0426596
motoring	0.042267
creatine	0.042064
evaporation	0.0418771
"Expo @@@@"	0.0417701
Baccarat	0.0416638
Polo	0.0414322
blower	0.0411804
Ince	0.0410633
Rugby	0.0407885
cloning	0.0406817
MKO	0.0405697
"commercial activity"	0.0404215
pedophilia	0.0403627
dilation	0.0403429
canvassing	0.0401721
absinthe	0.0400118
))
(cockiness (desc 2639.82) (sims
smugness	0.115919
naivete	0.112149
arrogance	0.110269
swagger	0.106305
overconfidence	0.104976
graciousness	0.103447
calmness	0.0972931
snobbery	0.0917148
hubris	0.0890218
spunk	0.0884704
explosiveness	0.0857573
overstatement	0.085605
earnestness	0.085557
aggressiveness	0.08518
humility	0.0851686
defensiveness	0.0837807
fatalism	0.0826966
charisma	0.0821996
aloofness	0.0819385
self-satisfaction	0.0797515
moxie	0.079663
grimace	0.0786728
stubbornness	0.0773954
"waiting game"	0.077187
dimple	0.0770684
sexiness	0.076399
composure	0.0756923
bluster	0.0751269
"sense of humor"	0.0741289
"joie de vivre"	0.073547
nihilism	0.0732489
modesty	0.0731987
fanaticism	0.0728755
"sex appeal"	0.072752
boldness	0.0724593
rudeness	0.0718529
tenacity	0.0718318
"raw talent"	0.0718041
coolness	0.0708337
professionalism	0.0707131
toughness	0.0705001
nonchalance	0.0702769
brinksmanship	0.070154
paranoia	0.0701449
"sense of responsibility"	0.0700884
condescension	0.0695734
fearlessness	0.069328
jingoism	0.0690748
serenity	0.0684752
sadism	0.0683883
selfishness	0.0681887
bravado	0.068118
cynicism	0.0680377
mischief	0.067984
sass	0.0679327
hang-up	0.0677558
wistfulness	0.0677085
"sour grapes"	0.0674547
playfulness	0.0669687
insensitivity	0.0668667
brashness	0.0667604
"good humor"	0.0665311
hyperbole	0.0656326
ribbing	0.0656215
"inferiority complex"	0.0655282
likability	0.0655082
demeanor	0.0653504
flamboyance	0.0647504
"deja vu"	0.0644534
"guardian angel"	0.0642393
foolishness	0.0640948
vanity	0.0638866
flair	0.0638846
intangible	0.0638843
vulgarity	0.0638664
hypocrisy	0.0638572
edginess	0.0636245
weariness	0.0635675
risk-taking	0.0633971
savvy	0.0633586
sarcasm	0.0626133
Thong	0.0624535
catharsis	0.0616711
incredulity	0.0615614
overkill	0.061235
sloppiness	0.0611745
mindset	0.0611172
brilliance	0.0610843
recklessness	0.0609577
self-confidence	0.0608972
smirk	0.0607191
idolatry	0.0606994
giddiness	0.0605205
self-image	0.0602981
combativeness	0.0602327
radiance	0.0598353
"wishful thinking"	0.0596077
melancholy	0.0594174
irony	0.0593699
"breathing room"	0.0592276
camaraderie	0.0589588
reverence	0.0589488
grit	0.058892
sincerity	0.0588329
immortality	0.0584616
"small talk"	0.0583117
reticence	0.0581803
chicanery	0.0580961
self-assurance	0.0580706
fizz	0.0580521
quickness	0.058047
pragmatism	0.0579341
desperation	0.0577502
insincerity	0.0576614
cowardice	0.0575613
curiosity	0.0573115
Panache	0.0571878
immaturity	0.0570863
gaiety	0.0569925
daydream	0.0569332
sadness	0.0568723
trepidation	0.0566331
understatement	0.0566155
wink	0.0563938
superlative	0.0563345
brio	0.0562611
cachet	0.05624
"sense of purpose"	0.0561362
nastiness	0.0559475
mendacity	0.0559196
gentleness	0.0556033
perfectionism	0.0555204
ruthlessness	0.0553193
bewilderment	0.0551528
exuberance	0.0548569
physique	0.0544172
hipness	0.054411
scowl	0.0543022
sweetness	0.0539664
urbanity	0.0539593
elan	0.0539565
disrespect	0.0539123
penance	0.05383
"staying power"	0.0535811
sentimentality	0.0535737
"shell game"	0.0534227
nonsense	0.0532837
"peace of mind"	0.0532137
pizazz	0.0531153
foreboding	0.0528842
sophistication	0.0527485
"guessing game"	0.052738
self-consciousness	0.0526563
petulance	0.052466
resilience	0.0523671
heresy	0.0523414
voyeurism	0.0522095
"natural ability"	0.0521266
hysteria	0.0520963
craziness	0.052011
eloquence	0.0519396
REPELLENT	0.0519261
awkwardness	0.0516715
electability	0.051498
letdown	0.05136
carelessness	0.0512332
maturity	0.0511992
miscommunication	0.0511397
ebullience	0.0511345
gibberish	0.0510998
luster	0.050861
Elitism	0.0508074
hyphen	0.0507209
opulence	0.0505568
nervousness	0.0505548
spontaneity	0.0505085
Christmases	0.0503661
Tootsie	0.0502694
temperament	0.0502414
insouciance	0.0502325
unreality	0.0501919
shyness	0.0501892
"morality play"	0.0500011
clothes	0.0499733
extravagance	0.0499197
elegance	0.0498214
insecurity	0.0497844
resiliency	0.0497683
chutzpah	0.0497293
irreverence	0.0496839
angst	0.0496081
individuality	0.049557
gamesmanship	0.0495321
bonhomie	0.0495096
perspiration	0.0494813
friendliness	0.0493704
peculiarity	0.0493217
serendipity	0.0492361
rigidity	0.0490927
persona	0.0490898
))
(cockpit (desc 26966.4) (sims
fuselage	0.139964
cabin	0.126497
"landing gear"	0.101157
compartment	0.0948261
"black box"	0.0924405
wreckage	0.0834304
bedroom	0.0815667
cab	0.078593
galley	0.0774298
plane	0.0754072
tail	0.0737613
aircraft	0.0734961
airplane	0.0721634
recorder	0.0712719
engine	0.0702565
pilot	0.0689559
classroom	0.0682284
bathroom	0.0670736
rudder	0.0666864
"living room"	0.0666108
courtroom	0.0663414
kitchen	0.0659636
co-pilot	0.0645236
"dorm room"	0.0629272
tank	0.0617109
elevator	0.0613255
squadron	0.0608584
downing	0.0586059
stabilizer	0.0581517
propeller	0.0580329
trunk	0.0578639
apartment	0.0577723
avionics	0.0564113
fleet	0.0563464
"dressing room"	0.0553386
garage	0.0553346
wing	0.0552914
cage	0.0551755
crew	0.0549016
attic	0.0547603
rear	0.0544563
closet	0.0542057
chamber	0.053633
basement	0.053087
"control tower"	0.0530763
clubhouse	0.0529079
"dining room"	0.0528767
hallway	0.0527643
"horizontal stabilizer"	0.0522617
auditorium	0.0514679
cave	0.0512956
"hotel room"	0.0504833
"Oval Office"	0.0504265
cubicle	0.0501302
window	0.0498299
van	0.0497969
trailer	0.0493691
dashboard	0.0493517
"jail cell"	0.049343
bed	0.0492032
nose	0.0487664
"flight path"	0.04846
hangar	0.0469691
refrigerator	0.0469657
"locker room"	0.0469315
dugout	0.0463797
"press box"	0.0463773
toilet	0.0463209
sanctuary	0.0461303
wheel	0.0459318
gym	0.0455828
boat	0.0453878
Grandstand	0.0453094
booth	0.0451504
library	0.0450916
dorm	0.0447867
dormitory	0.0447283
thruster	0.0446972
studio	0.0446057
helicopter	0.0444583
limousine	0.043741
Limo	0.0437375
"control room"	0.0435142
aisle	0.0434637
windshield	0.0434526
"family room"	0.0434494
"conference room"	0.0433511
"control system"	0.0433377
"penalty box"	0.0432751
"operating room"	0.0428898
lounge	0.0426521
Hijacker	0.0426251
"patrol car"	0.0423938
Bay	0.0420716
radar	0.0419743
Capitol	0.0418182
stairwell	0.0417817
cellar	0.0417388
altitude	0.0416442
gallery	0.0415452
foyer	0.0415193
suite	0.0414817
wheelchair	0.0414701
debris	0.0414576
flyover	0.0414333
"parking lot"	0.0412836
pew	0.0411304
wiring	0.0410061
Warehouse	0.0409662
NewsRoom	0.0408541
capsule	0.0408055
courtyard	0.0406709
"movie theater"	0.040605
belly	0.0405872
"storage room"	0.0403854
den	0.0401347
tent	0.0400795
Dome	0.0400473
))
(cockroach (desc 7330.16) (sims
Roach	0.138045
mite	0.137763
insect	0.126348
termite	0.125139
rat	0.124441
rodent	0.121085
flea	0.116687
spider	0.114176
mosquito	0.107333
dander	0.102907
"fruit fly"	0.0981988
aphid	0.0967621
gnat	0.093925
snake	0.093516
worm	0.0929433
dragonfly	0.0923354
ant	0.0918499
Lice	0.0905809
bug	0.0897292
vermin	0.0872202
locust	0.0856958
tarantula	0.0854031
beetle	0.0792123
pest	0.07859
squirrel	0.0774322
honeybee	0.0730397
mice	0.0722954
hamster	0.0718697
maggot	0.0718372
raccoon	0.071618
Bumblebee	0.0700417
rabbit	0.0697676
bee	0.0693786
pigeon	0.0688957
grasshopper	0.067786
Centipede	0.0676333
WASP	0.0668987
frog	0.0668006
lizard	0.0661278
moth	0.0657026
weed	0.0651899
turtle	0.0644703
"guinea pig"	0.0634562
snail	0.0625628
scorpion	0.0625483
monkey	0.0625224
rattlesnake	0.0618188
CAT	0.0614253
fungus	0.0613601
alligator	0.0610275
otter	0.0605832
critters	0.0602103
"fire ant"	0.0593646
armadillo	0.058997
droppings	0.0588461
"sea gull"	0.0587922
"plant disease"	0.0580108
pollen	0.0573894
goldfish	0.0572806
dampness	0.0571976
allergen	0.0571909
skunk	0.0564738
mouse	0.0556345
gerbil	0.0554219
crustacean	0.0550831
Vulture	0.0545576
deer	0.0544472
salamander	0.0538651
seagull	0.0537803
crow	0.0536325
mildew	0.0534065
nematode	0.0531698
microorganism	0.0527134
parrot	0.0514961
bacteria	0.0513035
"sea turtle"	0.0509353
bloke	0.0505388
parasite	0.0497496
shark	0.0496303
spore	0.0490859
geese	0.0490657
fungi	0.0489861
earthworm	0.0489068
serpent	0.0482918
crocodile	0.0478139
ostrich	0.0477194
kangaroo	0.047701
algae	0.0475229
Jellyfish	0.047355
canary	0.0468428
tortoise	0.0466763
elephant	0.0464011
butterfly	0.0462767
albatross	0.0460591
eel	0.0458991
pig	0.0447777
microbe	0.0447166
lemming	0.0445763
"ping-pong ball"	0.0445164
porcupine	0.0444049
lobster	0.0442947
yeast	0.0433269
feces	0.0426641
electron	0.0423634
ox	0.0421176
reptile	0.0420537
Meteor	0.041867
skydiver	0.0417738
goat	0.0412599
toad	0.0411196
leech	0.0404232
moose	0.0403575
Frisbee	0.0403155
))
(cocktail (desc 24694.8) (sims
drink	0.132108
"lethal dose"	0.109078
AZT	0.10486
dessert	0.0983556
champagne	0.0970113
Martini	0.0929135
appetizer	0.0872576
brew	0.0845742
regimen	0.0843919
concoction	0.0840776
tea	0.0813057
wine	0.0810286
therapy	0.0808683
Margarita	0.0805797
dose	0.0804952
pill	0.0800587
Beer	0.079917
beverage	0.0775195
snack	0.0769098
coffee	0.0738532
drug	0.0727393
antibiotic	0.0724467
medication	0.0714427
"iced tea"	0.071389
combination	0.0712301
salad	0.0708567
inhibitor	0.0707951
overdose	0.0705902
lemonade	0.0699787
sandwich	0.069672
dinner	0.0689792
breakfast	0.0687775
"afternoon tea"	0.0677462
brunch	0.0674191
entree	0.0672849
meal	0.0670543
soup	0.0654825
dosage	0.0649556
soda	0.0638729
aperitif	0.0633878
stew	0.063058
dish	0.0625885
"red wine"	0.0624435
Vaccine	0.0617432
nevirapine	0.0614039
vodka	0.0612229
liquor	0.0606169
viagra	0.0605783
Cognac	0.0602916
estrogen	0.0602593
lunch	0.0597854
"soft drink"	0.059595
pizza	0.0595626
supper	0.0591025
bottle	0.0589129
Relenza	0.0589095
medicine	0.0581881
juice	0.0571166
injection	0.0554163
tamoxifen	0.0554083
chemotherapy	0.0551248
alcohol	0.0546277
bread	0.0544273
potion	0.0542311
Fen-Phen	0.0541713
poison	0.0541605
smoothie	0.0539864
buffet	0.0536056
steroid	0.0532434
latte	0.0531908
luncheon	0.0530785
"side dish"	0.0530557
cuisine	0.0530146
Xenical	0.0529388
cappuccino	0.05284
barbecue	0.0528059
"cocktail party"	0.0527516
Ritalin	0.0526061
Cigar	0.0525964
blend	0.0525521
"ice cream"	0.0522054
recipe	0.0518165
supplement	0.0515922
Endostatin	0.0515591
tequila	0.0510699
cake	0.0509879
brandy	0.0507681
painkiller	0.0507522
pesticide	0.050735
whiskey	0.0507321
pint	0.0507164
mixture	0.0504713
salsa	0.0501234
prescription	0.0500664
Celebrex	0.0499358
tablet	0.0497587
interferon	0.0495836
espresso	0.049561
hormone	0.0495072
EPO	0.0490485
candy	0.0489712
condiment	0.0489459
ale	0.0489299
Rezulin	0.0488423
flavor	0.0488384
"prescription drug"	0.0488
ingredient	0.0487767
scotch	0.0485271
fruit	0.0484983
whisky	0.0483829
residue	0.0482529
broth	0.0481726
sauce	0.0481532
toxin	0.0479744
insulin	0.0478648
pastry	0.047593
vial	0.0471767
substance	0.0470202
leptin	0.0469608
rum	0.0469463
"dinner party"	0.0465256
"main course"	0.0464969
aspirin	0.0464598
milk	0.0463869
"Diet Coke"	0.0462257
sedative	0.0462255
pie	0.0462116
pasta	0.0459814
cigarette	0.0459762
Hamburger	0.0459661
molecule	0.0457614
antibody	0.0456981
herb	0.0456775
"sparkling wine"	0.0456241
chemical	0.045585
serum	0.0455808
tasting	0.0455796
Prozac	0.0455653
delicacy	0.0453382
cheese	0.0452388
"cup of tea"	0.0449608
protein	0.0449548
sausage	0.0449369
"white wine"	0.0445432
Formula	0.0443499
sorbet	0.0443318
"hot dog"	0.0442561
burgers	0.0441626
Zoloft	0.0435998
cooky	0.0434393
placebo	0.0433797
Herceptin	0.0433485
cookie	0.0432452
penicillin	0.0432139
additive	0.0431214
Fragrance	0.0431189
cracker	0.0431166
screening	0.0431085
Chardonnay	0.0430785
meat	0.0428904
glass	0.0428698
herbicide	0.0427593
marijuana	0.0427106
dressing	0.0426205
transplant	0.042242
cider	0.0421216
"salad dressing"	0.0420726
perfume	0.0420396
insecticide	0.0420113
liqueur	0.0419384
antihistamine	0.041681
steak	0.0415622
"fruit juice"	0.0415158
Pudding	0.041514
caffeine	0.0414849
biscuit	0.0412797
"side effect"	0.0411999
"computer program"	0.0409917
refreshment	0.0408633
contraceptive	0.0407693
blocker	0.0406997
toast	0.0403971
quantity	0.0403305
banquet	0.0403029
implant	0.0401901
scent	0.0400906
karaoke	0.0400475
))
("cocktail dress" (desc 2822.59) (sims
"evening gown"	0.226361
"evening dress"	0.222279
bodice	0.189376
pantsuit	0.183689
gown	0.171021
"ball gown"	0.169897
blouse	0.160466
halter	0.159755
frock	0.156254
tunic	0.154923
camisole	0.152575
"pants suit"	0.150433
chiffon	0.148989
jumpsuit	0.145992
"hot pants"	0.14411
sheath	0.133069
raincoat	0.129704
miniskirts	0.125618
sarong	0.117526
kimono	0.117312
headband	0.116915
bodysuit	0.116397
cardigan	0.115692
capris	0.114516
tuxedo	0.114041
"evening bag"	0.113755
"sweat pants"	0.11218
scarf	0.111833
trouser	0.111818
"bathing suit"	0.111692
"sports jacket"	0.110988
bellbottoms	0.109098
bikini	0.108292
"top hat"	0.107776
skirt	0.107605
bustier	0.107437
caftan	0.107202
leotards	0.107025
pant	0.10683
"straw hat"	0.105036
Bonnet	0.104575
pigtail	0.1045
legging	0.104402
trousers	0.103832
beret	0.103807
vest	0.103694
sweatshirt	0.102649
slipper	0.102571
"wedding gown"	0.102336
sweater	0.10111
loafer	0.10076
Thong	0.100173
armband	0.099353
"bowler hat"	0.0993093
fedora	0.0985639
shawl	0.0972162
wristband	0.0969112
"life vest"	0.0967072
turtleneck	0.0966645
"ski mask"	0.0961926
"leather jacket"	0.095108
"polo shirt"	0.0950401
undershirt	0.0949369
tulle	0.0942694
shirt	0.0942466
anorak	0.0939839
miniskirt	0.0936761
pullover	0.093539
robe	0.0928296
jean	0.0927056
yarmulke	0.0924669
"wedding dress"	0.0923095
taffeta	0.0919378
velvet	0.0918177
"bow tie"	0.0916412
corduroy	0.0915048
"baseball cap"	0.090543
"nail polish"	0.0901622
"cowboy hat"	0.0899148
suspender	0.0889784
eyeshadow	0.0887121
satin	0.0883526
wig	0.0881645
Tutu	0.0879577
nightgown	0.0875937
"business suit"	0.0873958
jacket	0.0872876
smock	0.0869961
"stiletto heel"	0.0867691
necktie	0.0864246
tights	0.0853882
eyeliner	0.0851407
"dress shirt"	0.0851168
"dress uniform"	0.0849497
bandana	0.0848392
overcoat	0.0843061
loincloth	0.08408
waistcoat	0.0838519
shorts	0.0833215
turban	0.0831416
Pantsuits	0.0830655
skullcap	0.0829372
"boxing glove"	0.0826799
corset	0.0822697
"name tag"	0.0820031
"mink coat"	0.0818379
sandal	0.0818267
"place mat"	0.0815767
Sari	0.0815573
bra	0.0815026
"feather boa"	0.0811328
lingerie	0.0807171
tux	0.0806481
cloak	0.0803188
slicker	0.080299
"fur coat"	0.0801615
slacks	0.0793999
kilt	0.0792832
G-string	0.0788621
blazer	0.0788233
"hard hat"	0.0785026
Sash	0.0775041
"Jeep Cherokee"	0.0769232
parka	0.076619
garb	0.0761405
"tennis shoe"	0.076107
windbreaker	0.0756402
bandanna	0.0755829
pantyhose	0.0753204
"dark glasses"	0.0752797
slack	0.0751293
hairstyle	0.0750672
hairpiece	0.0747011
sunglasses	0.0746661
stocking	0.074252
choker	0.0732482
Cape	0.073163
coverall	0.0730015
sneaker	0.0724455
neckline	0.0719751
sock	0.0718998
bathrobe	0.0716045
veil	0.0712593
pajama	0.0701439
enamel	0.0698951
knapsack	0.0689766
handbag	0.0689292
headdress	0.0689131
atelier	0.0688164
knickers	0.0683677
mitten	0.0680934
organza	0.0679176
hairdo	0.0676495
"food coloring"	0.0675028
bluejeans	0.0674621
Poncho	0.0662134
"cowboy boot"	0.0659481
spandex	0.0658657
brassiere	0.0657794
plaid	0.0655552
blinder	0.0651956
"Star of David"	0.0649015
regalia	0.0648876
embroidery	0.0643863
suede	0.0640688
"black tie"	0.0639272
piping	0.0639175
underwear	0.0636208
tiara	0.0635573
swimsuit	0.0633481
"military uniform"	0.0630991
earring	0.0628537
pants	0.0628437
"trench coat"	0.0626613
"Lincoln Town Car"	0.0625592
"key ring"	0.06197
duster	0.0619325
tablecloth	0.0617009
apron	0.0610789
headgear	0.0606927
denim	0.0605008
hosiery	0.0602593
petticoat	0.0601333
ascot	0.0598459
mascara	0.0595191
"life jacket"	0.0594954
"body armor"	0.0591643
"rubber boot"	0.0590253
"Honda Civic"	0.0587563
lipstick	0.0580246
"nose ring"	0.0577378
eyeglass	0.0573705
sloop	0.0572711
sportswear	0.0571521
mule	0.0568719
Renta	0.0565394
blinker	0.0564061
fur	0.056082
spacesuit	0.0560635
bolero	0.0560353
))
("cocktail party" (desc 9706.61) (sims
"dinner party"	0.190404
banquet	0.12921
luncheon	0.125611
"afternoon tea"	0.121895
dinner	0.11241
soiree	0.108328
brunch	0.10765
reception	0.107031
gala	0.107007
"open house"	0.098323
bash	0.0975804
"wedding reception"	0.0931509
supper	0.0919213
lunch	0.0913758
breakfast	0.0900801
fund-raiser	0.0886015
"tea party"	0.0865204
concert	0.0835861
"wedding ceremony"	0.0830693
gathering	0.0808791
Fete	0.0804257
barbecue	0.0753407
picnic	0.075259
"jam session"	0.0743124
"water cooler"	0.074044
festivity	0.0735984
"rock concert"	0.0724099
symposia	0.0708512
"theatrical performance"	0.0704982
buffet	0.0701027
wedding	0.0675148
"garden party"	0.0670457
"prayer meeting"	0.0649677
"press conference"	0.064135
fundraiser	0.0639571
"coffee shop"	0.0639268
"dinner table"	0.0636492
"church service"	0.0628831
tasting	0.0613433
symposium	0.0613399
seminar	0.0612054
lecture	0.0606402
get-togethers	0.0598976
nightclub	0.0579379
AMM	0.0575144
bullfight	0.0573228
"town meeting"	0.0573036
"art exhibition"	0.0568811
"house party"	0.0568559
"press briefing"	0.0563793
nightspots	0.055868
pageant	0.0555314
"news briefing"	0.05506
briefing	0.0548832
premiere	0.0541775
"panel discussion"	0.053489
cocktail	0.0527516
emporium	0.0525603
reunion	0.0523079
"point in time"	0.051985
funeral	0.0517561
"round table"	0.0516849
"Mount Sinai Hospital"	0.0516121
bistro	0.0515729
"pep rally"	0.0514652
"World Petroleum Congress"	0.0514005
lodging	0.050892
"three-day event"	0.0506439
"Earth Summit"	0.0503577
"wedding party"	0.0500401
"summer camp"	0.049792
"World AIDS Conference"	0.0497897
"Grammy Awards"	0.0497434
screening	0.049722
"fish fry"	0.0496725
"World Food Summit"	0.049596
feast	0.0491402
raiser	0.0490417
vigil	0.0482457
cookout	0.0473669
"prayer service"	0.0472297
"basketball game"	0.0471703
shindig	0.0470515
"committee meeting"	0.046731
salon	0.0465632
Carnival	0.0463347
prom	0.0463097
"board meeting"	0.0462343
"World Conference"	0.0461376
"plastic surgeon"	0.0460791
"community center"	0.0459753
snack	0.0456953
commemoration	0.0455945
reunions	0.0453796
inauguration	0.0451164
"social event"	0.0449518
boutique	0.0448192
ringside	0.0445772
"summit meeting"	0.0445705
"International Symposium"	0.0444452
disco	0.0442892
sightseeing	0.0441599
fundraisers	0.0438003
"Seasons Hotel"	0.0437446
pizzeria	0.0436283
weigh-in	0.0432497
retrospective	0.0428302
"toy store"	0.0428192
pub	0.0427352
powwow	0.0426413
SPA	0.0426158
fiesta	0.0426042
sleepovers	0.0425277
"Consultative Group"	0.0424903
one-to-one	0.0423924
"religious service"	0.0420262
roadshow	0.0419783
parlor	0.0419548
"religious ceremony"	0.0417316
"boxing match"	0.0417275
"Trade Fair"	0.0415093
hangout	0.0414905
recital	0.0411858
Exposition	0.0411774
"International AIDS Conference"	0.0407067
"hotel room"	0.0405877
"get together"	0.040562
tavern	0.0401144
striptease	0.040079
))
(coco (desc 1907.34) (sims
Tex-Mex	0.0779058
Johanna	0.077786
"Corey Koskie"	0.064063
"Ron Coomer"	0.0602943
"Earth's crust"	0.0589276
platforms	0.0559836
"Todd Walker"	0.0533569
choirboy	0.0518467
cutlery	0.0516175
Hawthorn	0.0510314
"Eric Milton"	0.0499121
smallholder	0.0496383
Alicea	0.0493734
oleander	0.0487711
queso	0.0482043
Peretz	0.0477669
Banda	0.0472771
"David Ortiz"	0.0464956
"Damian Jackson"	0.0461121
"Gabe Muoneke"	0.0454632
"Pepperidge Farm"	0.0451948
"New South"	0.0450192
Kushner	0.0440222
Amor	0.0433769
Simons	0.043244
Harriet	0.0430674
"Estados Unidos"	0.0426452
"Eric Snow"	0.042535
Mendez	0.0423036
"Marcell Allmond"	0.0422916
Mekong	0.0422772
Scoonie	0.0419718
Zeile	0.0417467
Langdon	0.0416902
"Cristian Guzman"	0.0409162
"Joe Brinkman"	0.0404549
una	0.0401878
))
(cocoa (desc 12096.7) (sims
"cashew nut"	0.211949
"palm oil"	0.201647
soybean	0.200965
sugar	0.196736
coffee	0.184395
coconut	0.182018
"orange juice"	0.180212
"coconut oil"	0.17865
"vegetable oil"	0.1764
"brown sugar"	0.171801
vanilla	0.171448
cornmeal	0.16852
sugarcane	0.166382
"baking powder"	0.165969
"sugar cane"	0.165151
oat	0.164585
cotton	0.162709
jute	0.162455
flour	0.160498
cornstarch	0.157913
tea	0.157139
wheat	0.155522
cacao	0.155018
"maple syrup"	0.154204
"baking soda"	0.152441
palladium	0.152025
"corn syrup"	0.151805
cashew	0.150944
buttermilk	0.14675
tapioca	0.145462
"crude oil"	0.142461
corn	0.141553
"evaporated milk"	0.141499
"heavy cream"	0.141126
Copper	0.140779
half-and-half	0.139969
almond	0.137869
"cooking oil"	0.135469
margarine	0.135072
"oil palm"	0.133855
rice	0.130072
grain	0.13005
maize	0.129803
shortening	0.129621
sisal	0.129386
paprika	0.128949
"cider vinegar"	0.128466
oilseed	0.127044
"egg yolk"	0.125731
cinnamon	0.125269
banana	0.125168
rubber	0.12434
barley	0.124165
"iron ore"	0.124151
"lemon juice"	0.123672
espresso	0.123289
"fish meal"	0.123185
milk	0.122947
sorghum	0.122316
coca	0.121463
chocolate	0.121139
raisin	0.120822
"dairy product"	0.120131
"coconut milk"	0.120121
"chili powder"	0.11979
rum	0.119249
"olive oil"	0.118926
spice	0.118764
"skim milk"	0.118741
"peanut oil"	0.118645
"soy sauce"	0.118466
nutmeg	0.116919
"whipping cream"	0.116468
canola	0.116385
butter	0.116246
pecan	0.11603
clove	0.115706
fruit	0.115576
cider	0.11535
cereal	0.114484
"macadamia nut"	0.114424
"sugar beet"	0.113891
"dried fruit"	0.113872
mustard	0.113475
pineapple	0.113299
"soybean oil"	0.113284
poultry	0.112827
"egg white"	0.112378
starch	0.112192
"soya bean"	0.11159
"curry powder"	0.111073
bean	0.110958
"wine vinegar"	0.110718
powder	0.110417
"sesame seed"	0.110123
timber	0.11001
"pineapple juice"	0.109791
"lime juice"	0.109442
"sour cream"	0.109105
vinegar	0.109092
oil	0.108334
molasses	0.108236
paddy	0.107935
"frozen food"	0.107767
peanut	0.107149
rapeseed	0.106874
petroleum	0.106861
nut	0.106489
oatmeal	0.106091
"milk powder"	0.105329
liqueur	0.105256
salt	0.105093
"mineral water"	0.104362
"almond extract"	0.104343
tobacco	0.103953
honey	0.103792
"cane sugar"	0.103624
Coal	0.103559
"coffee bean"	0.103131
lentil	0.102597
"heating oil"	0.102432
groundnut	0.101913
"orange zest"	0.101641
yeast	0.101496
shrimp	0.101316
"wheat flour"	0.101167
"food grain"	0.101131
cement	0.101047
"fruit juice"	0.100265
textile	0.100181
"cottage cheese"	0.100173
"tomato paste"	0.0995281
"peanut butter"	0.0992195
"apple juice"	0.0991692
syrup	0.0991432
"canned food"	0.0989731
pork	0.0987887
"vanilla extract"	0.0980946
CPO	0.0980057
vegetable	0.0979469
cranberry	0.0977447
cassava	0.0971657
"white wine"	0.0970412
"sunflower seed"	0.0969996
"pork belly"	0.0969212
juice	0.0961999
hazelnut	0.0959318
egg	0.095356
soda	0.0951051
onion	0.0949525
beef	0.0949314
"black tea"	0.0949265
newsprint	0.0942859
"hot chocolate"	0.0937142
"green tea"	0.0930903
cream	0.0930061
"red wine"	0.0927545
fertilizer	0.0925886
wine	0.0923008
ginger	0.0919264
hog	0.0917989
mango	0.091597
cheese	0.0914545
Cognac	0.091415
pistachio	0.0913703
"powdered milk"	0.0911967
yolk	0.0907272
foodstuff	0.0906529
allspice	0.0905726
meat	0.090567
"soft drink"	0.0903996
"Grand Marnier"	0.090393
vodka	0.0902518
crude	0.0901325
"Worcestershire sauce"	0.0901239
cola	0.0901233
raspberry	0.0893374
bauxite	0.0889179
"tomato juice"	0.0885889
lard	0.0885004
yogurt	0.0884511
lime	0.0884107
"natural gas"	0.0882897
Calvados	0.0882645
"mustard seed"	0.0880432
"pepper sauce"	0.0879554
wool	0.0876855
legume	0.0875548
gelatin	0.0875504
lemonade	0.0873975
aquatics	0.0873391
"black pepper"	0.0872767
pepper	0.0872573
"opium poppy"	0.0871619
"sea food"	0.0866716
garment	0.0865597
phosphate	0.086532
"lemon zest"	0.0865193
seafood	0.0860817
crumb	0.0860384
))
(coconspirator (desc 1673.88) (sims
co-conspirator	0.149165
accomplice	0.0787422
"Nicole Brown Simpson"	0.0737097
Confederate	0.0642864
co-counsel	0.0640491
co-defendant	0.0616639
conspirator	0.0591759
"Ryder Cups"	0.0557717
co-accused	0.0549212
"British Opens"	0.0547296
co-defendants	0.0515428
"Winnie Madikizela-Mandela"	0.0502439
ringleader	0.050058
Debra	0.0482222
"gambling casino"	0.0473431
"Final Fours"	0.046911
Adele	0.0467583
abductor	0.0463125
Darlene	0.0457743
"medical specialist"	0.0456179
shoplifter	0.0451213
crewmates	0.0450613
"minor-league team"	0.0450361
"break of serve"	0.0450036
"Special Economic Zones"	0.0447393
crematorium	0.0446078
"administrative official"	0.044556
no-decisions	0.0445385
years.	0.0444696
"exhibition area"	0.0442507
stepchildren	0.0441829
culpability	0.0426121
"Cy Young Awards"	0.0424636
"staff sergeant"	0.0422737
influence-peddling	0.0420274
pizzeria	0.0418818
starts.	0.0418297
"U.S. Opens"	0.0417812
"defense lawyers"	0.0416658
mistrial	0.0415262
polluter	0.0414352
postseasons	0.0412629
"All-Star Games"	0.0411964
wideouts	0.0411749
"Pro Bowls"	0.041006
"No. @s"	0.0409757
stepson	0.0409152
SEZs	0.0408812
uptrend	0.0406067
great-grandchildren	0.0402378
vote-getters	0.0400285
))
(coconut (desc 17238.1) (sims
pecan	0.275382
pineapple	0.241225
almond	0.238251
vanilla	0.222097
cashew	0.22187
"macadamia nut"	0.220511
raisin	0.216331
mango	0.204571
raspberry	0.203439
walnut	0.202145
"brown sugar"	0.200522
hazelnut	0.196787
lemon	0.194586
cocoa	0.182018
cinnamon	0.179557
sugar	0.177034
marshmallow	0.175901
"coconut milk"	0.175118
ginger	0.173563
onion	0.171314
currant	0.167865
"pine nut"	0.167816
banana	0.165617
nut	0.16379
buttermilk	0.163138
pistachio	0.161398
blueberry	0.160808
tomato	0.160591
"sesame seed"	0.160508
flour	0.159505
Basil	0.158966
"lemon juice"	0.156992
strawberry	0.156862
"whipped cream"	0.15686
apricot	0.156361
Cherry	0.155163
yogurt	0.154075
nutmeg	0.153864
chocolate	0.152915
cilantro	0.151206
"sour cream"	0.149133
parsley	0.148734
crumb	0.148106
peach	0.14751
"lime juice"	0.147401
cranberry	0.14598
"orange juice"	0.145788
cheese	0.145757
fruit	0.144823
Garlic	0.143678
"sugar cane"	0.143622
lime	0.141815
cornmeal	0.141443
"palm oil"	0.141424
pear	0.140904
"dried fruit"	0.140357
grapefruit	0.13938
bean	0.139032
"vegetable oil"	0.13835
peanut	0.138139
butter	0.137457
"peanut butter"	0.135746
melon	0.135282
mint	0.135226
pepper	0.135097
"evaporated milk"	0.135092
"lemon zest"	0.134102
half-and-half	0.133455
"cashew nut"	0.133439
vinegar	0.133181
persimmon	0.131371
"whipping cream"	0.131214
corn	0.130808
mushroom	0.130641
potato	0.13026
"olive oil"	0.13008
"soy sauce"	0.128827
chilies	0.128356
Chickpea	0.128134
spice	0.128085
olive	0.12784
"passion fruit"	0.127585
honey	0.126989
berry	0.126985
chive	0.126532
shrimp	0.126499
fig	0.126386
"sweet potato"	0.126255
oatmeal	0.126225
apple	0.125983
coriander	0.125226
scallion	0.124892
"skim milk"	0.124788
"green onion"	0.124623
plum	0.12443
Parmesan	0.124294
salt	0.124251
papaya	0.124092
rice	0.124083
RHUBARB	0.123748
cabbage	0.123441
blackberry	0.123237
avocado	0.122642
coffee	0.121431
"egg white"	0.121144
tea	0.121061
"orange peel"	0.120653
barley	0.120537
"coconut oil"	0.120239
clove	0.119992
GUAVA	0.119832
vegetable	0.119812
pumpkin	0.118795
"peanut oil"	0.118132
prune	0.117886
"maple syrup"	0.117854
mustard	0.117638
"heavy cream"	0.117355
rum	0.117295
spinach	0.11664
"corn syrup"	0.116626
milk	0.116411
litchi	0.11508
"pumpkin seed"	0.114674
carrot	0.113953
lentil	0.113772
shallot	0.113597
juice	0.112415
"red pepper"	0.112245
"pineapple juice"	0.112101
"sea food"	0.111894
cornstarch	0.111806
herb	0.111785
sugarcane	0.111719
cereal	0.111567
"oil palm"	0.111395
grape	0.111346
"cottage cheese"	0.111332
margarine	0.111181
egg	0.11114
thyme	0.111086
celery	0.110307
plantain	0.110168
"cheddar cheese"	0.110042
"goat cheese"	0.10917
breadcrumb	0.107906
puree	0.107665
"baking soda"	0.107408
"black pepper"	0.107392
pea	0.107226
"orange marmalade"	0.107098
ricotta	0.106707
"egg yolk"	0.106605
"blue cheese"	0.106583
watermelon	0.106473
cream	0.106268
"vanilla bean"	0.106016
"orange zest"	0.105843
"apple juice"	0.105411
paprika	0.10525
cardamom	0.104941
"soya bean"	0.104753
praline	0.104091
soybean	0.104041
caramel	0.104011
dill	0.103858
Broccoli	0.103199
"black bean"	0.103114
cumin	0.102683
bread	0.102473
custard	0.102426
molasses	0.102425
seaweed	0.102064
"almond extract"	0.101525
oregano	0.101351
"baking powder"	0.101308
"lemon peel"	0.101207
"condensed milk"	0.101159
rosemary	0.101041
pomegranate	0.101016
cantaloupe	0.100835
"sesame oil"	0.100775
tapioca	0.100771
cotton	0.100627
zucchini	0.100599
sherry	0.100447
powder	0.100206
horseradish	0.100038
lettuce	0.0995436
syrup	0.0995305
oat	0.0993764
"cream cheese"	0.099338
wheat	0.0990894
noodle	0.0987726
mayonnaise	0.0987191
"sweet corn"	0.0986885
"chicken stock"	0.0986071
"cider vinegar"	0.0984638
soy	0.098074
rubber	0.0977402
))
("coconut milk" (desc 4965.71) (sims
"chicken broth"	0.300525
"soy sauce"	0.291209
"chicken stock"	0.270166
"lime juice"	0.267171
"heavy cream"	0.258045
"tomato paste"	0.25754
buttermilk	0.251226
"evaporated milk"	0.248379
"tomato juice"	0.248009
half-and-half	0.240183
"cider vinegar"	0.239817
"sour cream"	0.237305
"lemon juice"	0.234088
vinegar	0.22603
cornstarch	0.223144
"brown sugar"	0.217269
"corn syrup"	0.213578
"beef broth"	0.206929
puree	0.205274
mayonnaise	0.204305
"hoisin sauce"	0.200243
"whipping cream"	0.198157
"pineapple juice"	0.19811
"tomato sauce"	0.190457
"wine vinegar"	0.187521
"egg yolk"	0.187433
"olive oil"	0.183295
"orange juice"	0.182241
ketchup	0.182165
cornmeal	0.182042
"peanut oil"	0.181585
molasses	0.181192
broth	0.17826
"chili powder"	0.178171
"curry powder"	0.177337
cilantro	0.175724
coconut	0.175118
applesauce	0.17481
"Worcestershire sauce"	0.172565
raisin	0.172151
yogurt	0.171608
lentil	0.169875
ginger	0.169369
flour	0.168406
"sesame oil"	0.167809
honey	0.167494
onion	0.166906
cider	0.166133
"maple syrup"	0.165438
shallot	0.164647
mustard	0.16386
"chili sauce"	0.162383
pineapple	0.161399
chilies	0.160689
Garlic	0.160483
"apple juice"	0.158268
cumin	0.157038
butter	0.156062
cream	0.155732
"orange zest"	0.153111
"white wine"	0.152563
margarine	0.152444
"whipped cream"	0.152093
sauce	0.150605
cayenne	0.150299
"cottage cheese"	0.149527
salt	0.148985
sherry	0.148523
juice	0.148175
paprika	0.147775
scallion	0.147489
fraiche	0.147099
paste	0.146941
sugar	0.146185
breadcrumb	0.145356
parsley	0.1447
"cumin seed"	0.143792
vanilla	0.143071
"cream cheese"	0.141494
ricotta	0.141362
"green onion"	0.140569
raspberry	0.140252
"peanut butter"	0.1398
tahini	0.139787
tomato	0.139543
"vegetable oil"	0.13768
"condensed milk"	0.13758
"pine nut"	0.137458
pecan	0.136188
pepper	0.136109
oatmeal	0.13602
mushroom	0.135705
"skim milk"	0.135613
milk	0.135243
lemongrass	0.134503
"macadamia nut"	0.134083
"bean sprout"	0.133838
Basil	0.133716
blueberry	0.133672
syrup	0.133611
chutney	0.132758
pumpkin	0.131601
cheese	0.131499
"black bean"	0.129733
jelly	0.129593
vermouth	0.129489
"orange peel"	0.129161
currant	0.128142
"lemon zest"	0.128086
bouillon	0.12776
panko	0.126768
allspice	0.125792
apricot	0.1243
"red pepper"	0.123889
"beef stock"	0.123337
tomatillo	0.123048
jalapeno	0.122257
"sesame seed"	0.122142
Calvados	0.121962
dill	0.121626
shortening	0.121184
"baking powder"	0.120434
"egg white"	0.120128
cocoa	0.120121
rum	0.120037
zucchini	0.119754
horseradish	0.119369
noodle	0.118951
"fennel seed"	0.11807
"lemon peel"	0.117588
thyme	0.117473
mango	0.116695
marshmallow	0.116687
crumb	0.116342
salsa	0.116267
"baking soda"	0.115882
Chili	0.115123
cinnamon	0.114982
mint	0.114751
tarragon	0.114101
spinach	0.114075
celery	0.113827
"dried fruit"	0.113083
turmeric	0.112551
chiles	0.112328
Parmesan	0.11211
"Grand Marnier"	0.112071
liqueur	0.11156
vinaigrette	0.11143
leek	0.110663
bourbon	0.110654
"red onion"	0.110313
yolk	0.109706
peppercorn	0.109695
fennel	0.109649
chocolate	0.109215
pea	0.109061
croutons	0.108946
pesto	0.108485
marjoram	0.108236
Chickpea	0.108013
eggplant	0.10792
powder	0.107865
"pepper sauce"	0.107838
oregano	0.106714
"bell pepper"	0.106401
miso	0.106347
lettuce	0.106236
"cranberry sauce"	0.105789
"fava bean"	0.105315
"goat cheese"	0.105284
flake	0.105116
chive	0.10507
"bay leaf"	0.104795
coriander	0.104441
"shiitake mushroom"	0.104313
"red wine"	0.104306
tapioca	0.1041
lemon	0.103334
"white rice"	0.103267
bean	0.103137
brandy	0.102556
oat	0.102109
nutmeg	0.102022
marmalade	0.101927
zest	0.101851
"cherry tomato"	0.101769
walnut	0.101731
lime	0.101555
cabbage	0.101311
soup	0.101258
gelatin	0.101214
kernel	0.10078
"vanilla extract"	0.100764
anchovy	0.100525
"fruit juice"	0.0999552
Liquid	0.0995874
polenta	0.0995562
olive	0.0994827
almond	0.0993682
))
("coconut oil" (desc 1504.08) (sims
"palm oil"	0.202771
"soybean oil"	0.18953
cocoa	0.17865
knitwear	0.150779
jute	0.148367
"soya bean"	0.124561
"cashew nut"	0.12271
coconut	0.120239
"vegetable oil"	0.116717
rubber	0.114267
"iron ore"	0.110317
"fish meal"	0.106598
"frozen food"	0.103853
"cooking oil"	0.103812
oilseed	0.102512
"sea food"	0.0935176
"building material"	0.0925635
cashew	0.0907462
tapioca	0.0906025
footwear	0.0890399
foodstuff	0.0861521
Gypsum	0.085645
sorghum	0.0839887
non-oil	0.0831007
"canned food"	0.0828715
"fish oil"	0.0813444
oat	0.0805651
"household appliance"	0.0798372
condensate	0.0798286
"crude oil"	0.0796505
lentil	0.0796499
pistachio	0.0795544
"peanut oil"	0.0794236
soybean	0.0790963
handicraft	0.0759439
"sugar cane"	0.0756014
groundnut	0.0752927
petrochemical	0.0752032
turmeric	0.0741781
"powdered milk"	0.0736516
shortening	0.0732023
"corn syrup"	0.0716768
kerosene	0.0713934
"liquefied petroleum gas"	0.0709632
"wheat flour"	0.0701881
"diesel oil"	0.0700804
"food product"	0.0699699
"black tea"	0.0691254
"lemon peel"	0.0687532
"precious metal"	0.0677659
"dairy product"	0.0672101
starch	0.0671264
nutmeg	0.0660229
half-and-half	0.0652891
barley	0.0644378
phosphate	0.064294
"food grain"	0.0641947
"egg yolk"	0.0638665
mutton	0.0637981
pineapple	0.0632016
cornstarch	0.0631462
"home appliance"	0.0630471
"pork belly"	0.0628053
"alcoholic beverage"	0.0608114
ethanol	0.0607579
pulp	0.0605847
LNG	0.0603551
billet	0.0600635
soya	0.0587704
"sunflower seed"	0.0586994
"coconut milk"	0.058673
"orange juice"	0.0583156
methanol	0.0579115
vanilla	0.0579084
"macadamia nut"	0.0578223
canola	0.057406
"oil palm"	0.0570382
bauxite	0.0569853
"pinto bean"	0.0562958
cumin	0.0562419
"integrated circuit"	0.0560656
gemstone	0.0559573
"milk powder"	0.0558693
"consumer goods"	0.0558001
"citrus fruit"	0.0549259
palladium	0.0548975
"plate glass"	0.0546025
"evaporated milk"	0.0543209
mango	0.0542526
"fuel oil"	0.0541216
"dried fruit"	0.0540938
"vanilla extract"	0.0540112
"exercise equipment"	0.0533802
"celery seed"	0.0533762
"synthetic fiber"	0.0533335
housewares	0.0531051
cacao	0.0530558
molasses	0.0529562
"fresh fish"	0.0525428
"heating oil"	0.0523097
confectionery	0.0521232
margarine	0.052026
"sewing machine"	0.051869
"sesame oil"	0.0514681
"machine tool"	0.0513294
dairy	0.051314
flax	0.0507911
"electric power"	0.0504149
sisal	0.0498489
byproducts	0.0492739
"fish fillet"	0.0491291
"lime juice"	0.0490039
"frozen foods"	0.0489436
"animal product"	0.0487083
aquatics	0.0481291
"canned goods"	0.0481112
"ammonium nitrate"	0.0478595
"caustic soda"	0.047729
SEZs	0.0474341
newsprint	0.0470572
jewellery	0.0464266
buckwheat	0.0463797
"food additive"	0.0463403
"maple syrup"	0.0463246
"animal fat"	0.0462965
"precious stone"	0.0462579
"California wine"	0.0462499
"sesame seed"	0.0460973
raisin	0.0459436
"sugar beet"	0.0457724
manganese	0.0457054
hazelnut	0.045643
ethylene	0.0454885
"fruit juice"	0.0454557
rapeseed	0.0450685
"diesel fuel"	0.0448547
"citric acid"	0.0445668
"motor oil"	0.0442435
cornmeal	0.0440766
currant	0.0438495
knitting	0.0437343
CPO	0.0436244
"egg white"	0.0434845
soy	0.0433937
"circuit board"	0.0433018
applesauce	0.0430573
"vanilla bean"	0.0428757
legume	0.0427954
Manta	0.042786
"heavy water"	0.0426821
"mustard seed"	0.0424542
ore	0.0424294
bedding	0.0423629
"brown rice"	0.0422476
"Honda Motor Co."	0.0419502
teak	0.0417217
Zhirinovsky	0.0413218
bran	0.0411809
ingot	0.0411755
lactose	0.0411073
"cane sugar"	0.0410502
"washing machine"	0.0410253
ammo	0.0410231
sesame	0.0409824
aluminium	0.0405764
praline	0.0404088
preservative	0.0402716
"chili sauce"	0.0401087
))
(cocoon (desc 8452.94) (sims
hibernation	0.0683429
dormancy	0.064967
cloak	0.0646941
seclusion	0.0629022
"cashew nut"	0.0615726
"pig iron"	0.0604067
cordon	0.0598659
"fantasy world"	0.0569307
wool	0.0555967
Igloo	0.0546734
"bomb shelter"	0.0537622
berm	0.0536593
bubble	0.0532895
"police state"	0.0524607
cotton	0.0516878
yarn	0.0503382
sugarcane	0.0484475
poultry	0.048103
bathrobe	0.0471816
Rut	0.0465532
enclosure	0.0464575
alcove	0.0460427
sheath	0.0458318
"hiding place"	0.0451988
ore	0.0443712
"synthetic fiber"	0.0442815
"sleeping bag"	0.0442647
gauze	0.0441494
nest	0.043798
ribbon	0.0437225
curtain	0.0436588
vacuum	0.0435753
"steel plate"	0.0435576
cage	0.0434307
pod	0.0433667
shawl	0.0432931
"batter's box"	0.0431892
Funk	0.0429924
Limo	0.0428675
ghetto	0.0424512
silk	0.0420975
larvae	0.041918
sisal	0.0416419
veil	0.04126
wrapping	0.0411192
casing	0.0408404
linen	0.0408242
fodder	0.040724
garment	0.0407197
closet	0.0406063
trappings	0.0404626
robe	0.0404401
limousine	0.0404244
overcoat	0.0402161
))
(cod (desc 8881.94) (sims
halibut	0.211983
"striped bass"	0.184169
salmon	0.172199
grouper	0.171846
"sea bass"	0.160131
flounder	0.160057
"red snapper"	0.153193
swordfish	0.149689
monkfish	0.14621
mackerel	0.141988
bluefish	0.138593
scallop	0.130418
shrimp	0.130354
sardine	0.124004
tuna	0.122881
trout	0.117094
"filet mignon"	0.114766
"chicken breast"	0.110497
lobster	0.109121
"king salmon"	0.106284
fish	0.1055
fillet	0.10514
Haddock	0.100832
herring	0.0991671
anchovy	0.0978625
squid	0.0968499
prawn	0.0966121
clam	0.0964968
eel	0.0959276
"beef tenderloin"	0.0959193
mussel	0.0952351
steak	0.09209
oyster	0.0915968
"leg of lamb"	0.0910622
"rack of lamb"	0.0885056
"pork tenderloin"	0.0873656
crab	0.08521
Catfish	0.078694
snapper	0.0779411
"Atlantic salmon"	0.0775327
chicken	0.077427
eggplant	0.0771752
"pork loin"	0.0769857
asparagus	0.0751282
linguine	0.0749861
sturgeon	0.0745731
pork	0.0745725
striper	0.0738061
"brussels sprout"	0.0737558
redfish	0.0732231
meat	0.0720302
tilapia	0.0716275
beef	0.0708916
"roast beef"	0.0699779
shellfish	0.0691017
octopus	0.0682345
"shiitake mushroom"	0.0681707
pasta	0.067328
tenderloin	0.0669403
carp	0.0668768
tomato	0.0663355
seafood	0.0663022
vegetable	0.0653479
"bluefin tuna"	0.0653277
Endive	0.065077
"foie gras"	0.0650555
"short ribs"	0.0631917
pea	0.0629801
"sweet potato"	0.0620852
quail	0.061976
seaweed	0.061951
Sirloin	0.0619248
bean	0.0616278
potato	0.0614533
filet	0.0614126
mushroom	0.0611675
turnip	0.0610533
coral	0.0609643
"smoked salmon"	0.0607854
shark	0.0600558
"pinto bean"	0.0597402
"white bean"	0.0584973
salad	0.0584374
Garlic	0.0582444
spaghetti	0.0580272
Whiting	0.0579338
sausage	0.0576755
brisket	0.0574077
ham	0.0574038
"sea horse"	0.0573769
caviar	0.0570723
Bass	0.0568186
polenta	0.0566101
"rainbow trout"	0.0563964
steelhead	0.0560865
"pumpkin seed"	0.0560754
carrot	0.0557201
lamb	0.0557159
"horseshoe crab"	0.0552406
fig	0.0552381
cucumber	0.0551968
"brown trout"	0.0551961
abalone	0.0549104
shad	0.0547025
noodle	0.0543281
macaroni	0.0542859
onion	0.053916
pineapple	0.0536966
sockeye	0.0536866
plantain	0.0533384
pear	0.0522606
"red pepper"	0.0519434
spinach	0.0518765
"fresh fish"	0.0516259
artichoke	0.0515252
"lima bean"	0.0513399
beet	0.0512163
venison	0.0511812
leek	0.0509961
tofu	0.0508899
chilies	0.0508266
"chicken salad"	0.0506574
walleye	0.0506276
"green bean"	0.0504316
turtle	0.0504174
ravioli	0.0503783
"fish fillet"	0.0497471
"fruit salad"	0.0494423
crustacean	0.049348
rind	0.0490189
soup	0.0485302
okra	0.0485014
sauerkraut	0.0483428
"sea urchin"	0.0480383
"blue crab"	0.0479223
Broccoli	0.0478127
rib	0.0475627
sauce	0.0474375
corn	0.0473727
stingray	0.0472872
bread	0.0472514
"string bean"	0.0471594
"right whale"	0.0471342
Loin	0.047051
"macaroni and cheese"	0.0470196
"coho salmon"	0.0466946
radish	0.0466008
fishery	0.0464489
olive	0.0463968
"sea otter"	0.0462956
confit	0.0462121
"pot roast"	0.0461243
fennel	0.0458222
marshmallow	0.0455816
"bell pepper"	0.0453005
"tomato sauce"	0.0450583
bacon	0.0449932
"gefilte fish"	0.0448677
"sea food"	0.0448519
crabs	0.0447112
chowder	0.0446203
croaker	0.0444583
peanut	0.0443017
cabbage	0.0442178
paella	0.0441386
flour	0.0440522
tortilla	0.0440125
mozzarella	0.0439886
cheese	0.043985
"goat cheese"	0.043974
veal	0.0439041
snail	0.04385
apricot	0.0437891
"elephant population"	0.0437215
kernel	0.0434222
pheasant	0.0433855
"black bean"	0.0433792
reptile	0.043271
"french fries"	0.0432371
shank	0.0431365
coho	0.0429459
peach	0.0428507
crawfish	0.0427118
"soya bean"	0.0426683
bulgur	0.0426128
Carpaccio	0.04249
"potato salad"	0.0424676
yam	0.0423573
kelp	0.0421879
"flower arrangement"	0.0420913
rabbit	0.0420113
watercress	0.0416422
mutton	0.0415261
blueberry	0.0413289
barley	0.0412768
"ground beef"	0.0412519
poultry	0.0411979
cauliflower	0.0410246
POTATOES	0.0409638
lemon	0.0409151
))
(coda (desc 3526.3) (sims
epilogue	0.135048
capstone	0.1141
postscript	0.109465
denouement	0.106267
preface	0.0921109
bookend	0.0906152
climax	0.0846917
Ode	0.0820162
sendoff	0.0733769
rejoinder	0.0702063
footnote	0.0697563
counterpoint	0.0688551
corrective	0.0679764
"turn of events"	0.0677132
RIPOSTE	0.0661478
comeuppance	0.0661121
sidelight	0.0635228
prequel	0.0635177
prologue	0.0630893
prelude	0.0625954
summation	0.0619178
send-off	0.0618279
radiance	0.061727
epitaph	0.0614729
interlude	0.0602545
juxtaposition	0.0597952
sequel	0.0590208
haiku	0.0586843
homage	0.0582411
foreboding	0.0578293
leitmotif	0.0571916
evocation	0.0570368
synopsis	0.0561873
soliloquy	0.0557521
bedfellow	0.0548026
coincidence	0.0540187
foreword	0.0538861
lead-in	0.0537166
elegy	0.0532554
symmetry	0.0530827
paean	0.0529706
rededication	0.0528582
farewell	0.0523384
"history lesson"	0.0522681
analogy	0.0521586
oration	0.0515767
steppingstone	0.0515077
vignette	0.0514618
eulogy	0.0512797
frisson	0.0511137
punctuation	0.0509096
tableau	0.0499604
"cast of characters"	0.0498561
afterword	0.0497007
"waiting game"	0.0496062
"exclamation point"	0.0494605
"Symphony No. @"	0.0491772
balm	0.0487212
intro	0.0484305
subtext	0.0481091
counterbalance	0.0480912
slickness	0.0479345
"Little Dog"	0.0478508
turnabout	0.0478393
colloquy	0.0477585
"sound bite"	0.0476961
"piece of work"	0.0476654
resemblance	0.0473619
pizazz	0.0473014
"launching pad"	0.046968
contraption	0.0468816
flashback	0.0466137
oomph	0.0465572
"set piece"	0.0462045
subplot	0.0461855
confluence	0.0457282
"safety valve"	0.0454901
guidepost	0.0454851
edginess	0.045205
adjunct	0.044994
anticlimax	0.0449245
testimonial	0.0443897
"theme song"	0.0443038
Lullaby	0.0442931
moniker	0.0442502
benediction	0.0439316
appendix	0.0439296
testament	0.0439184
precursor	0.0438696
"musical score"	0.043503
"warning signal"	0.0433284
disincentive	0.0432736
"piece of music"	0.0432574
conceit	0.043062
expedient	0.0429701
underpinning	0.0428227
paragraph	0.0425547
catharsis	0.0425136
preamble	0.0424662
casualness	0.0421799
"running time"	0.0419928
serum	0.0418073
pleaser	0.0417084
retort	0.0416748
cantata	0.0416726
melody	0.0414973
"second line"	0.0414258
zinger	0.0414156
metamorphosis	0.0413383
assistances	0.0411218
fable	0.0410432
"punch line"	0.0409478
satire	0.0408498
factoids	0.0408083
faithfulness	0.0408019
"birthday gift"	0.040789
fillip	0.0407097
re-creation	0.0406267
paradox	0.0405373
poignancy	0.0404739
"first half-hour"	0.040338
remembrance	0.0403192
"birthday present"	0.0403106
comedown	0.0401596
"hospital care"	0.0401063
))
(code (desc 91467) (sims
law	0.151728
guideline	0.148414
regulation	0.146118
rule	0.141973
constitution	0.136412
statute	0.131057
standard	0.125218
"code of conduct"	0.122326
legislation	0.115323
Ordinance	0.115079
policy	0.114707
system	0.1127
charter	0.111933
procedure	0.11085
software	0.10938
Treaty	0.108068
protocol	0.107468
"criminal law"	0.107323
document	0.106214
requirement	0.103888
provision	0.100843
"source code"	0.0980319
program	0.0974117
"bankruptcy law"	0.0964805
text	0.0963759
"computer code"	0.0963646
principle	0.0943954
criteria	0.0943199
language	0.0942209
"penal code"	0.0942172
norm	0.0940188
method	0.0936509
data	0.0930578
mechanism	0.0923859
strategy	0.0923715
technology	0.091969
bylaw	0.0918525
Formula	0.0914166
bill	0.0908223
decree	0.0905198
measure	0.0895177
structure	0.0894529
restriction	0.0891782
agreement	0.0890129
plan	0.0887623
coding	0.0884544
doctrine	0.087406
amendment	0.0869585
blueprint	0.0868824
clause	0.0868715
information	0.0867056
"tax system"	0.0846562
specification	0.0845949
curriculum	0.0841862
concept	0.0841732
file	0.0836691
definition	0.0836621
proposal	0.0833763
instruction	0.0832513
resolution	0.0829652
"building code"	0.082719
accord	0.0821494
framework	0.0820954
DNA	0.0820173
directive	0.0819723
manual	0.0817544
budget	0.0817336
password	0.081612
material	0.0815357
"Clean Air Act"	0.0814997
"Basic Law"	0.0811997
pact	0.0811775
"antitrust law"	0.0807404
limit	0.0805683
arrangement	0.0805585
name	0.0785541
format	0.0783446
tradition	0.0780816
"international law"	0.0774773
map	0.0772116
"Geneva convention"	0.076789
database	0.0765585
design	0.0763655
device	0.0762423
"phone number"	0.0760882
technique	0.0760105
Gene	0.0759036
version	0.0751123
ethic	0.0750324
application	0.0748448
"legal system"	0.0747795
tool	0.0746819
pattern	0.0737655
calendar	0.0735219
"U.S. Constitution"	0.0732949
theory	0.0731966
covenant	0.0731097
"computer program"	0.0729392
reform	0.0728409
recommendation	0.0727262
ban	0.0725843
philosophy	0.0723771
schedule	0.0723048
"operating system"	0.0722531
agenda	0.0722481
patent	0.0721925
custom	0.0721551
browser	0.0718473
script	0.0717172
"basic principle"	0.0717077
"identification number"	0.0716889
message	0.0716771
"safety standard"	0.0712526
scheme	0.0710403
Computer	0.0707795
contract	0.0706485
sequence	0.0704541
form	0.0702112
number	0.0701086
timetable	0.0697929
Declaration	0.0696717
"master plan"	0.0694336
initiative	0.0693027
process	0.0692639
package	0.0689298
list	0.0687072
practice	0.0686477
discipline	0.0683559
wording	0.0681021
equipment	0.0680938
feature	0.0679033
interpretation	0.0678032
safeguard	0.0677732
letter	0.0676909
"development plan"	0.0675952
platform	0.0674876
model	0.0672114
culture	0.0671688
protection	0.0670787
book	0.0668871
test	0.0668359
act	0.0668338
quota	0.0663819
change	0.066295
order	0.066052
approach	0.0659749
image	0.0658562
history	0.0658119
tax	0.0658059
word	0.0657444
memorandum	0.0655727
service	0.065295
interface	0.0652941
embargo	0.0652757
content	0.0652513
term	0.0651915
testing	0.0651416
article	0.0650911
product	0.065049
convention	0.0649212
card	0.0648957
idea	0.06488
recipe	0.0647151
enforcement	0.0645375
control	0.0641172
genome	0.06399
sanction	0.0638505
chip	0.0636873
handbook	0.063621
mandate	0.0635603
decision	0.0635591
"economic system"	0.06351
precedent	0.0634055
Limitation	0.0632146
description	0.0632121
"Bill of Rights"	0.0632077
style	0.0630422
network	0.0625376
page	0.0620757
draft	0.0620538
stipulation	0.0620142
address	0.0619383
identity	0.0618208
"area code"	0.0617458
action	0.0615973
secret	0.0614693
obligation	0.0613572
function	0.0612059
prohibition	0.0612052
machine	0.0611345
textbook	0.061114
religion	0.0609866
"U.N. Charter"	0.0609489
equation	0.0608341
analysis	0.0608061
Etiquette	0.0605757
Bible	0.0604299
"telephone number"	0.0604201
hardware	0.0603797
status	0.0603088
))
("code of conduct" (desc 14032.8) (sims
guideline	0.15877
bylaw	0.131926
regulation	0.131499
code	0.122326
"Geneva convention"	0.116477
"U.N. Resolution @@@"	0.113291
"plan of action"	0.112629
norm	0.108727
"basic principle"	0.107151
Ordinance	0.106344
protocol	0.102177
"master plan"	0.101111
"safety standard"	0.100166
procedure	0.0996906
principle	0.0989083
"building code"	0.0985904
directive	0.0983164
criteria	0.0970441
"international law"	0.0966179
provision	0.0958026
"criminal law"	0.0955431
framework	0.0948441
timetable	0.0945859
constitution	0.0942978
requirement	0.0919874
standard	0.0919745
charter	0.0914151
"antitrust law"	0.0911714
statute	0.0900872
doctrine	0.0885466
ethic	0.0882674
law	0.0878436
Treaty	0.0853088
stipulation	0.0851398
"rule of law"	0.0848543
"U.N. Security Council Resolution @@@"	0.0848061
"contingency plan"	0.08465
mechanism	0.0844139
"Action Plan"	0.0843445
"rating system"	0.0836106
decree	0.0836065
"Resolution @@@@"	0.0835108
covenant	0.0829732
"U.N. Charter"	0.0828698
"development plan"	0.082384
"Sino-British Joint Declaration"	0.0823605
"penal code"	0.0822491
manifesto	0.0822187
legislation	0.0813093
Measures	0.0811042
"United Nations Charter"	0.0803862
"development strategy"	0.0801749
restriction	0.0797141
modality	0.0795778
pact	0.0794025
"safety measure"	0.077622
blueprint	0.0772415
"economic policy"	0.076809
"Resolution @@@"	0.0763063
strategy	0.0762182
"training program"	0.0759336
recommendation	0.0759023
resolution	0.0757473
safeguard	0.0757345
discipline	0.0752123
"reorganization plan"	0.0750379
curriculum	0.0745849
"ground rule"	0.0739277
"legal system"	0.0737174
"U.N. Convention"	0.0733015
"Joint Declaration"	0.0732535
"compromise plan"	0.0722403
moratorium	0.0720269
"Clean Water Act"	0.0720206
"trade policy"	0.0718931
syllabus	0.0710726
specification	0.0710299
"Basic Law"	0.0709903
"trade agreement"	0.0707615
clause	0.0706362
"bankruptcy law"	0.0701061
"economic system"	0.0699631
Formula	0.069445
"Macao Basic Law"	0.0693639
Declaration	0.0691846
"business plan"	0.068965
"Clean Air Act"	0.0687561
"Voting Rights Act"	0.0684582
embargo	0.0684509
memorandum	0.0682807
"Bill of Rights"	0.06823
"commercial law"	0.0675644
"Vienna Convention"	0.0672487
"quota system"	0.0670072
"political platform"	0.066604
"fundamental principle"	0.066465
quota	0.0664139
programme	0.0663536
"pilot program"	0.0663445
"Title IX"	0.0661637
"legal code"	0.0661437
cease-fire	0.0660674
handbook	0.0660277
arrangement	0.0654768
"maritime law"	0.0654349
curfew	0.0649616
"Anti-Ballistic Missile Treaty"	0.0649528
"Beijing Declaration"	0.0647102
"Article @@"	0.0645854
communique	0.0645837
accord	0.0644617
zoning	0.0643449
agenda	0.0642143
prohibition	0.0637126
"labor contract"	0.0636847
obligation	0.063463
"Kyoto Protocol"	0.0632638
"battle plan"	0.0627521
"U.S. Constitution"	0.0626742
"Montreal Protocol"	0.0616123
method	0.0614692
"security measures"	0.0614124
"endowment fund"	0.0612122
"Helms-Burton Act"	0.0608755
"organic law"	0.0608583
"ABM Treaty"	0.0606041
CTBT	0.0604119
initiative	0.0601269
"trade embargo"	0.0600651
"religious belief"	0.0600521
Etiquette	0.059949
self-restraint	0.0598859
scheme	0.0598699
incentive	0.0598365
precedent	0.0597809
sanction	0.0596882
"Criminal Procedure Law"	0.0589319
"Lusaka Peace Accord"	0.0588274
"Maastricht Treaty"	0.0586933
quarantine	0.0584071
"written agreement"	0.0581414
objective	0.058137
"Title VII"	0.0580076
precept	0.0579257
"pricing system"	0.0578341
"incentive plan"	0.0578174
"Oslo Accords"	0.057768
ceasefire	0.0575326
mandate	0.0573242
"security system"	0.0572388
"road map"	0.057149
edict	0.0570648
amendment	0.0569991
"Telecommunications Act"	0.0565992
"retirement age"	0.056524
"education program"	0.0563543
"legal instrument"	0.056138
"legal document"	0.0560225
"tax system"	0.0558557
"incentive program"	0.0558131
"tax policy"	0.0556671
"African Union"	0.0556171
"early warning system"	0.0554959
"United Nations Convention"	0.0553225
"Community Reinvestment Act"	0.0553092
"International Covenant"	0.0552123
"property right"	0.0551475
curricula	0.0550991
"Lahore Declaration"	0.0548612
"Sino-Portuguese Joint Declaration"	0.05476
"licensing agreement"	0.0547519
"human right"	0.0546797
custom	0.0545944
"Universal Declaration"	0.0544645
"marketing program"	0.0544553
"pay raise"	0.0544376
Standards	0.054363
regimen	0.0543389
truce	0.0542887
"First Amendment"	0.0542059
parameter	0.0542028
Shariah	0.0540308
"trading system"	0.0540081
"Disabilities Act"	0.0539402
commandment	0.0539139
concept	0.0538225
"Fourth Amendment"	0.0537199
"spending cut"	0.0536536
philosophy	0.0533623
"time limit"	0.0531631
"administrative law"	0.0529625
methodology	0.0528572
Sharia	0.0528143
accountability	0.0524397
"accounting system"	0.0523591
"user fee"	0.0522648
"Marshall Plan"	0.0522002
"monitoring program"	0.0520344
"rule of evidence"	0.052019
"free trade"	0.0519876
))
(Code-named (desc 2593.23) (sims
manoeuvre	0.0876244
"transport ship"	0.0831968
"military drill"	0.0737333
"war game"	0.0673308
agaisnt	0.0642843
physiologist	0.0589748
consulations	0.0535024
self-restraint	0.0492659
"space probe"	0.0467797
airstrike	0.0463369
"supply ship"	0.0454094
exercises	0.0430521
putsch	0.0430498
China-U.S.	0.0429932
de-escalation	0.0409461
"military mission"	0.0405176
))
(coding (desc 6137.34) (sims
L	0.096384
f	0.0919176
code	0.0884544
P	0.0799399
W	0.0720182
decoding	0.0711801
Pts	0.068049
bookkeeping	0.0679526
e	0.0679093
"source code"	0.0659662
O	0.0612795
algorithm	0.0612255
XML	0.0601677
Encryption	0.0596514
BLUETOOTH	0.0579555
inkjet	0.0575449
K	0.0564026
"brokerage account"	0.055096
GA	0.0548014
URL	0.0543093
EP	0.0532127
Midi	0.0531767
"retirement plan"	0.0520201
mapping	0.051417
"moral hazard"	0.051109
"retirement account"	0.0503309
"data entry"	0.049989
imaging	0.0495804
horoscope	0.0491722
"rocket fuel"	0.0490991
"computer programming"	0.0487368
watermark	0.0485364
prefix	0.0480898
spelling	0.048072
"floor plan"	0.0480027
videophone	0.0476124
"street address"	0.0474525
microchip	0.0470289
"scoring system"	0.0469616
USB	0.0468187
fingerprinting	0.0468109
dosage	0.0465052
databank	0.0464581
defibrillator	0.045497
identifier	0.0454797
H	0.0454748
"tool kit"	0.0453192
CE	0.0448844
S.	0.0440728
two-digit	0.0438323
J	0.043815
GPS	0.0436876
"computer code"	0.0431133
"user interface"	0.0430033
vasectomy	0.0429215
Meadows	0.0428414
"data processing"	0.0427673
"Windows CE"	0.0426415
"laser printer"	0.0425883
"accounting system"	0.0421203
interface	0.0419897
compression	0.041815
multitasking	0.0417699
pronunciation	0.0417523
password	0.0416674
U	0.0414501
Unix	0.0413889
Adirondack	0.0413365
spreadsheet	0.040195
copying	0.0401782
Babel	0.0400398
))
(Cody (desc 4652.32) (sims
Jessica	0.118954
Zachary	0.103348
Justin	0.0957635
Sasha	0.0927526
Wyatt	0.0883544
Joshua	0.0874092
Matthew	0.0842605
Evan	0.0839423
Ian	0.0805162
Jamie	0.0802858
Nicholas	0.079679
Jonathan	0.0783523
Jeffrey	0.0777237
Shawn	0.0769456
Kyle	0.0759934
Kevin	0.0738735
Gerald	0.0737242
Anthony	0.0728029
Steven	0.0725996
Josh	0.0725542
Jake	0.0719111
Tyler	0.0718056
Brian	0.0714005
Solzhenitsyn	0.0708149
Robbie	0.0707493
Gerard	0.0707416
Samuel	0.0704764
Nathaniel	0.0701336
Noel	0.0700351
JonBenet	0.0700186
timothy	0.069901
Daniel	0.0698036
matt	0.0696957
Jenny	0.0689945
Jason	0.0687102
Walter	0.0685121
Trevor	0.0683269
Nicole	0.0681506
Aaron	0.0680918
Doris	0.068007
Dana	0.0679306
Karenna	0.067915
Hirsch	0.0678052
Josephine	0.067762
Megan	0.0677256
Jeremy	0.0676303
Andrew	0.0673209
Ashley	0.0672441
Samantha	0.0672174
Ben	0.0672043
Jeb	0.0668513
Derek	0.0668271
Puzo	0.0667937
Robert	0.0664949
Jacob	0.0664587
Kathryn	0.0663059
Casey	0.0661013
Johnny	0.0660533
Lorenzo	0.0659513
Natalie	0.0658323
Cameron	0.065632
Kathleen	0.065363
Odai	0.0652522
Alan	0.065119
Shannon	0.0648889
Jennifer	0.0648771
Meg	0.0648296
Brett	0.0647624
Andrei	0.064646
Meredith	0.0644642
Tilberis	0.0644101
T.J	0.0641
Dominic	0.0637401
Polly	0.0635284
Stephen	0.0633778
Stephanie	0.063369
Laura	0.0633477
Brandon	0.0632992
Vladimir	0.0629784
Matthau	0.0629199
Kristin	0.0627799
Rebecca	0.0627373
Ibrahim	0.0625902
Olga	0.0625224
tom	0.0625054
Sebastian	0.0624405
Sean	0.0622903
Dorothy	0.0619829
Emily	0.0619821
Gabriel	0.0619474
Amanda	0.0618155
Paolo	0.0617159
Hannah	0.0617121
Brody	0.0616939
Jenna	0.0616872
Pamela	0.0616527
Erin	0.0615781
Northup	0.0612609
Owen	0.061254
Andy	0.0610665
Ivan	0.0609627
William	0.0607733
Adam	0.0606413
Marc	0.0606281
"Karenna Gore Schiff"	0.0604263
"John Jr."	0.0602844
Karen	0.0602828
Michael	0.06014
Liam	0.0600578
Philip	0.0599374
Katie	0.059935
Danny	0.0598892
Steve	0.0596463
Alex	0.0595301
Ronald	0.0594397
Christina	0.0593469
Edward	0.059315
Susan	0.0592953
Shane	0.0591976
David	0.0591703
Patrick	0.0590689
Elliott	0.0590358
Frederick	0.0590267
Andres	0.0589978
Peter	0.0589486
Robin	0.0589187
Noah	0.0589089
Michelle	0.0584681
Christine	0.0584249
Paul	0.058393
Weiner	0.0581877
Connor	0.0581518
Neil	0.0581012
Chris	0.0579324
Dandridge	0.0577404
Neilson	0.0577014
Benjamin	0.0575309
Hinckley	0.0575021
Marvin	0.057461
Sam	0.0574609
Carl	0.0574266
Donald	0.0573591
Ellen	0.0572656
Perrot	0.0572401
Joey	0.0571731
Ryan	0.0571541
Edith	0.0571435
Simon	0.0571422
Scott	0.0570652
Randy	0.0569893
Lundy	0.0569639
Theo	0.0567719
Eileen	0.0567451
Marty	0.0567319
Dodi	0.0566479
Dylan	0.0565169
Autry	0.0564691
Rachel	0.0564474
Courtney	0.0561547
Andrea	0.0561251
Rashid	0.0561095
Sheridan	0.0560425
Albert	0.0560133
Jerry	0.0559809
Peggy	0.0559524
Todd	0.0558842
Eric	0.055784
Fred	0.0557774
"shipwreck survivor"	0.0556588
Hatfield	0.0556552
Richard	0.0555885
Menuhin	0.0555227
Brad	0.0554037
Gary	0.0554016
Kelly	0.0553832
Luke	0.055321
Omar	0.0550627
grandchild	0.0550337
Amy	0.0550191
Casper	0.0550096
Christie	0.0547878
Menchu	0.0547342
fritz	0.0546773
Leslie	0.0546642
Tommy	0.0546175
Margaret	0.0545896
Brent	0.0545348
Berle	0.0544177
Jimmy	0.0540247
Brenda	0.053587
Cooke	0.0535762
Hitchens	0.053572
Michele	0.0535708
Christopher	0.0535508
Applegate	0.0534898
Tim	0.0534697
Maher	0.0534503
Ted	0.0534036
Rick	0.0534035
Hadley	0.0533182
))
(Coe (desc 2321.73) (sims
Echegaray	0.18759
McGinn	0.174651
Faulder	0.17192
"Gary Graham"	0.131043
Garza	0.12782
Mease	0.125416
Robison	0.123561
Manbar	0.118652
LeFave	0.118441
Lileikis	0.107358
Siripongs	0.107222
Maharaj	0.10601
Gauthe	0.105788
Abu-Jamal	0.10434
Neulander	0.0983379
Berenson	0.0969124
Sherrill	0.0955367
Beckwith	0.0941438
"Marianne Gingrich"	0.0937757
Tarver	0.093586
Jenoff	0.093556
Fassett	0.0925525
Hofer	0.0925243
Caddell	0.0921605
Zamora	0.0920265
Tran	0.0920259
Karr	0.091521
"U.S. Soccer Federation"	0.0914389
Hiett	0.0910106
Khalil	0.089473
"Maturino Resendiz"	0.0892056
Blackthorne	0.0888542
Sweeting	0.0887972
McVeigh	0.0880239
Jewell	0.0880234
Valenzuela	0.0878789
Harris-Lewis	0.087232
Fagan	0.0870044
Burleigh	0.0868325
Cleary	0.0866936
Mitnick	0.0863287
"Russell Peeler"	0.0862193
Mapes	0.0858842
Brownlee	0.0858209
Schmitz	0.0845443
Papon	0.084483
Stayner	0.0844759
Natale	0.0843304
McKinney	0.0839646
Copeland	0.0834729
Advani	0.0825399
Nikitin	0.0818552
Schweitzer	0.0815273
Ikeda	0.0815152
singleton	0.0814357
Symington	0.0812982
Yoo	0.0812509
Mcbride	0.0811355
Jobe	0.0810697
Siazon	0.0807192
Whitacre	0.080413
Joklik	0.0803557
Kinkel	0.0799842
Capano	0.0799808
Beathard	0.079973
Skakel	0.0799
Grasso	0.0798625
Jarrell	0.0797668
McGinnis	0.0796628
Sebaggala	0.0793903
Spence	0.0789615
Mehmet	0.0788342
Aventajado	0.0786079
Abernathy	0.0784212
"Al Fayed"	0.0780497
"Patsy Ramsey"	0.0776725
Lacresha	0.0774797
Eappens	0.0773193
Hinckley	0.077188
McWilliams	0.0771369
Prewitt	0.0770998
LaPierre	0.0767576
Einhorn	0.0762993
hale	0.0762845
Shandling	0.076038
Alcorn	0.0758154
Markhasev	0.0757733
Merritt	0.075465
Deri	0.0753053
Sakic	0.0751829
Herrera	0.0750875
Coia	0.0749984
Ruehe	0.0749611
Coelho	0.0748448
"Louise Woodward"	0.0747965
Schuerholz	0.0747499
Tucker	0.0744069
Troussier	0.0743339
Kimes	0.0742115
Ramsey	0.0741873
Reimer	0.0740555
Boyle	0.0738316
Ritter	0.0737657
Marinovich	0.0729297
Sheppard	0.0728649
Flanagan	0.0728646
Fleischer	0.0726543
Keenan	0.0723802
Shatner	0.0720655
Beazley	0.0719517
Binion	0.0716748
Garvey	0.0715865
Dickerson	0.0714538
Carollo	0.0712976
Cheung	0.0710217
McIntosh	0.0707199
"Juan Miguel"	0.070687
Callaghan	0.0705452
Lindland	0.0704434
Idris	0.0701487
"Council of Europe"	0.0701174
Mudge	0.0700734
Scharping	0.0699134
McGill	0.0699069
"El Hage"	0.0698899
Rideau	0.0698378
Houghton	0.0697782
Indyk	0.0697028
Lamont	0.0696732
Bruder	0.0696509
Fortier	0.0695853
Samuelson	0.0695448
Verney	0.0695266
Insulza	0.0695177
Kambanda	0.0695006
Henning	0.0692115
Pollard	0.0690017
Hsia	0.0689897
Goldstein	0.0686997
Verniero	0.0686963
nance	0.0686065
Redstone	0.0685332
Bakaly	0.0684388
Farris	0.0684374
Barnum	0.0683786
Kerrigan	0.0682151
Menuhin	0.0681127
Kirby	0.0681001
Belo	0.0679296
Dobbs	0.0679094
Kodikian	0.0678576
furrow	0.0675197
Wolfson	0.0673502
Henley	0.0670075
Goossen	0.0668385
Upton	0.0668106
Cline	0.0667597
Hauser	0.0667202
Mattysse	0.0666436
Khannouchi	0.066625
Knapp	0.0665289
Rossotti	0.0663024
Puente	0.0662886
peeler	0.0661428
Agca	0.0660371
Weldon	0.0658772
"Damascus Declaration"	0.0658634
"Timothy McVeigh"	0.0658625
Silverstein	0.0657555
OCA	0.0656895
McLane	0.065654
Rousseau	0.0656496
WEF	0.065514
Pippig	0.0654753
Harrelson	0.0653748
Hess	0.065302
Porter	0.06526
Kaczynski	0.0650364
workman	0.0649833
McCartney	0.0649039
Shayler	0.0647277
Azizah	0.0647151
Durwood	0.0647032
Babbitt	0.0646769
Kennard	0.0645025
Goodrich	0.0644049
Bellamy	0.0643941
Sheinbein	0.0643208
Kohn	0.0642397
Pelosi	0.0642363
Bragg	0.0641586
Ftorek	0.0641249
Koskinen	0.0641073
BSF	0.0640029
Kehoe	0.0639665
Irvan	0.0638538
Sharma	0.0635697
Ogata	0.0635177
Wilhelm	0.0634444
Craxi	0.0633605
))
(Coelho (desc 4063.96) (sims
Verniero	0.144042
"Tony Coelho"	0.142115
Arbour	0.138222
Ivester	0.138211
Zadornov	0.135459
Quackenbush	0.130467
Marineau	0.128417
Joklik	0.128001
hodgson	0.127762
Barad	0.126049
Prewitt	0.123352
Maslyukov	0.122643
Ribbeck	0.122471
Vogts	0.121646
Ritter	0.119399
Mukora	0.11838
Zarb	0.117682
DIMON	0.117681
Catacosinos	0.117321
Schaeuble	0.11662
Layden	0.116076
Imperatori	0.115959
Jewell	0.114892
Mikhailov	0.114538
Iger	0.114402
Daley	0.11371
Yadav	0.113568
Mandelson	0.11234
Jauron	0.11217
Kassirer	0.11196
Rivlin	0.111407
Mokhehle	0.111348
Chubais	0.111312
Bakaly	0.110868
Safir	0.110742
Wendt	0.109234
Daft	0.109012
Weizman	0.108982
D'Alessandro	0.107894
Cubas	0.107757
McCurry	0.107643
Egan	0.106593
Boyle	0.105583
Slatkin	0.105553
Sassa	0.105234
MIYAZAWA	0.105031
Schottenheimer	0.104552
Eizenstat	0.104056
Coulter	0.104054
Fiorina	0.103963
Gilman	0.103908
Ekeus	0.103602
Molinari	0.103275
Blackmun	0.10313
Deri	0.10299
Cheney	0.102636
Eskew	0.10224
Ruthardt	0.101691
Torricelli	0.101607
Zeroual	0.101133
Wagoner	0.101072
Elhage	0.100632
ROMNEY	0.100113
Kumar	0.0998647
Danforth	0.0997587
Stepashin	0.0997143
BURNHAM	0.0993226
Lileikis	0.0989749
Verney	0.098668
Kuhn	0.0981689
Venables	0.0981429
Betts	0.0980281
Lafontaine	0.0980118
Lundberg	0.0977301
Gosper	0.0976331
Harmoko	0.0976106
Hiett	0.0975674
Blix	0.0975377
Tobin	0.0973635
Kasyanov	0.0969365
Okada	0.0968926
Ralston	0.0968547
Passarella	0.0964701
Rylander	0.0964609
Faget	0.096184
Papon	0.0960607
Koop	0.0960366
Gutman	0.0959666
Wolfson	0.0958828
Brazile	0.0956317
Hindery	0.0951829
Neeman	0.0947008
Spyridon	0.0942545
Symington	0.0941666
Chevenement	0.0941439
Naumann	0.0938045
CEC	0.0937222
Romer	0.0932421
Ickes	0.093206
Whitacre	0.0931904
Maldini	0.0931452
Hess	0.0930726
Coia	0.0929677
Troussier	0.0929165
Kaye	0.0927572
Bavasi	0.0927324
"Wolfgang Schaeuble"	0.0926821
Villalonga	0.0925554
Rubin	0.0922895
Schott	0.09204
Bubb	0.0920189
"Bora Milutinovic"	0.0917253
Andreessen	0.0916614
Beckwith	0.0914554
Kaplan	0.0913235
Talebi	0.091256
Beye	0.0912281
Majko	0.0908263
Fabius	0.0904476
Garza	0.0903082
Podesta	0.0900861
Romanowski	0.0900178
Welch	0.0897742
Bhattarai	0.0896694
Dowd	0.0893448
Cuomo	0.0893403
Patten	0.0892844
Murayama	0.0891696
Ponciano	0.0889313
Skiles	0.0886646
Neuheisel	0.0884697
Kagalovsky	0.0882196
Demaci	0.0879655
Trudeau	0.0878863
Callahan	0.087807
Solis	0.0878034
Bergeron	0.0877854
Neulander	0.0877635
Holbrooke	0.0874708
BARNICLE	0.0874463
Kerik	0.0873265
Wetherell	0.087162
Cisneros	0.0870102
Callaghan	0.0869163
Wasserman	0.0868492
Kasich	0.086508
DiCarlo	0.0862551
Stoneman	0.0861104
Corzine	0.0861094
Ramseys	0.0860412
Zenga	0.0857958
O'Connell	0.0857644
Kessler	0.085723
Myhrvold	0.085451
"Robert Rubin"	0.085392
Mordechai	0.0853781
Kirkpatrick	0.0852658
Icahn	0.0850987
Kennard	0.0849723
Fraga	0.0849628
Jacquet	0.0849213
Nanula	0.084841
Antley	0.0848202
Camacho	0.0847246
Wiatt	0.0845876
Indyk	0.0845774
Batouty	0.0845327
Meissner	0.0844827
Gowda	0.0844709
Samper	0.0844123
Isakson	0.0843176
Quayle	0.0841487
Hoddle	0.0841368
Kouchner	0.084086
Murr	0.084018
Holtz	0.0840108
Bogle	0.0839908
Valenzuela	0.0839474
Harmon	0.0837671
Selig	0.0837468
Leyland	0.0836579
Vacco	0.0835333
Coverdell	0.0835058
Geiger	0.0834653
Kiriyenko	0.0834
Thayer	0.083369
Romar	0.0833443
Harris-Lewis	0.0831727
Sato	0.0830897
Gingrich	0.0830525
Samaranch	0.0829804
Boutros-Ghali	0.0829173
Holzman	0.0828946
Wahid	0.0828878
Swango	0.0828358
Masire	0.0826936
Penders	0.0824307
Cleary	0.0823728
Lowry	0.0822721
Sanan	0.0820739
))
(Coen (desc 1338.87) (sims
Forrester	0.186352
Finkel	0.160777
CBO	0.150909
Singson	0.148853
Lowry	0.130943
Fleischer	0.130941
Rubenstein	0.125883
Hartley	0.125835
IEA	0.125251
Bodine	0.123009
Hendricks	0.12146
Laudrup	0.120108
"John Waters"	0.114679
Sayles	0.113455
"Frank Capra"	0.112337
Butterworth	0.111992
Rylander	0.111476
Weisman	0.111431
Pollack	0.1101
Siegel	0.108159
"Wall Street analyst"	0.107889
Weinberg	0.106528
Lessig	0.105994
Hybl	0.105405
Rossotti	0.104295
Menendez	0.104124
"National Hurricane Center"	0.104124
"U.S. Agriculture Department"	0.10199
Mendez	0.10146
SSB	0.101417
Sobel	0.100998
Tellem	0.099456
Cowan	0.0994498
Bergeron	0.099258
Tsang	0.0991573
Reiner	0.0989251
Knox	0.098787
Browne	0.098046
"Mike Nichols"	0.0955683
Wayans	0.0952891
"Congressional Budget Office"	0.0943471
burrows	0.0942631
Altman	0.0941299
Jaffe	0.0935587
Vogel	0.0933712
slasher	0.0928362
Talebi	0.0920666
Ruehe	0.0920592
Grossman	0.0918131
Atwood	0.091577
Nostradamus	0.0909937
"administration official"	0.090972
"U.S. Census Bureau"	0.0906174
IDC	0.0903789
Winkler	0.0903627
Zuckerman	0.0902015
Moser	0.0897195
Sutter	0.0893078
Sim	0.0892897
Zapruder	0.0889275
Poole	0.0886007
"Lethal Weapon"	0.088537
Allard	0.0885057
Harr	0.0884086
Rosenberg	0.0879239
Jovanovic	0.0879218
Hanson	0.0875958
Iglesias	0.0875657
Duffy	0.0872969
Paxon	0.0870445
"Bank of Korea"	0.0868083
Copeland	0.086574
"Wes Craven"	0.0865604
"Neil LaBute"	0.086302
Silverstein	0.0861451
Rothenberg	0.0860067
Connell	0.0859805
Morse	0.0855905
"David Lynch"	0.0853154
Heinrichs	0.0850419
Fellini	0.0845525
O'Neil	0.0843752
Jobe	0.0842374
Jensen	0.0839929
Billick	0.0837991
COYNE	0.0836578
Henley	0.0836518
Brandt	0.0835913
Moonves	0.0834626
Scorsese	0.0833799
Ferrer	0.0832529
Solis	0.0832448
Segal	0.0832369
Setzer	0.0831835
Nadler	0.0830716
Gibbons	0.0829279
Rollins	0.0825018
"Ministry of Trade and Industry"	0.0823485
Weiner	0.0813725
"De la Cruz"	0.0813666
HKTA	0.0813249
Healy	0.0811577
Schwartz	0.0811128
Ulrich	0.0809764
Samuelson	0.0809665
McCourt	0.080962
Cahill	0.0808789
Nickerson	0.0806679
D'Alessandro	0.0806524
Raitt	0.0802846
Hyman	0.080264
Koskinen	0.0801948
"this @@@@"	0.0801946
cain	0.0801781
Kyprianou	0.0800062
Ebersol	0.0797052
Braun	0.0796606
Leigh	0.0795843
demographer	0.0792339
Eizenstat	0.0792326
IMAX	0.0786467
Hahn	0.0785846
Haynes	0.0783923
Barlow	0.0783417
TALBOT	0.0783163
Gullikson	0.0777908
"Buster Keaton"	0.0777217
Meissner	0.0776652
Zogby	0.077487
Sheehan	0.0768624
Bolger	0.0768571
Piot	0.0768094
Oscar-winning	0.0767464
"National Weather Service"	0.0766733
Dempsey	0.075988
Spielberg	0.0759774
Lundberg	0.0759248
Conroy	0.0759221
Babcock	0.0757517
Beazley	0.0753072
Elliot	0.0753053
"John Ford"	0.0752493
Alexie	0.0751439
Lehane	0.0750678
Advani	0.0749107
Chao	0.0747712
Larson	0.0746873
Wyly	0.0746655
McIntyre	0.074506
McKeon	0.0745046
Zwick	0.0744714
Rendell	0.0743924
"Central Bureau of Statistics"	0.0743505
Choate	0.0741612
Passarella	0.0741401
Rutherford	0.0741303
Rosenthal	0.0735461
Kaye	0.0733485
Truffaut	0.0732912
OECD	0.0730738
Waxman	0.0730217
Valenti	0.0730171
"Census Bureau"	0.0729971
Gogel	0.07287
pressman	0.072734
Jarrell	0.0727155
"Mel Brooks"	0.0727051
"Sam Shepard"	0.072657
Okada	0.0726364
"Oliver Stone"	0.0726289
Carrey	0.0725233
Krugman	0.0724953
Marx	0.0724689
Mustafa	0.0723799
McInnis	0.0722108
Berman	0.0719582
Summitt	0.0717831
Saatchi	0.0716239
"Business Week"	0.0715859
Kimball	0.07133
Boyle	0.0710416
Durant	0.0709639
made-for-TV	0.0708928
Grisham	0.0708905
Auerbach	0.0708503
Sasser	0.0707362
Leibovitz	0.0706676
"David Jones"	0.0706436
Behr	0.0702564
Clancy	0.0701573
BNFL	0.0700709
Latham	0.0699316
Moog	0.069898
"Indiana Jones"	0.0698053
Sandler	0.0697716
Dunleavy	0.0697092
Flanagan	0.0696824
Midler	0.0696363
"Neil Simon"	0.069524
hodgson	0.0695109
))
(coercion (desc 9465.48) (sims
intimidation	0.208958
harassment	0.161838
blackmail	0.15337
vote-buying	0.147333
bribery	0.142568
manipulation	0.131075
tampering	0.123883
mistreatment	0.123494
fraud	0.122307
extortion	0.121338
molestation	0.120556
rigging	0.119272
"election fraud"	0.118049
abuse	0.116609
maltreatment	0.113714
"sexual harassment"	0.112424
"insider trading"	0.111358
irregularity	0.10785
deception	0.107044
thuggery	0.10574
corruption	0.105584
reprisal	0.10534
misconduct	0.103931
discrimination	0.103382
brutality	0.101747
intolerance	0.101724
torture	0.100622
sabotage	0.100099
collusion	0.0998614
vandalism	0.0987865
oppression	0.0983468
embezzlement	0.0981487
persecution	0.0975649
repression	0.0961716
interference	0.0950561
bribe-taking	0.0948263
cronyism	0.0946636
conspiracy	0.0943127
chicanery	0.094156
misuse	0.0927404
misappropriation	0.0924874
theft	0.0903393
trickery	0.0892239
aggression	0.0884555
neglect	0.0880993
impropriety	0.0878575
malpractice	0.0872438
mutilation	0.0870669
incompetence	0.0869223
censorship	0.0863278
self-censorship	0.0860394
"breach of trust"	0.085766
favoritism	0.0855468
rape	0.0854607
provocation	0.0852615
"child abuse"	0.0851837
influence-peddling	0.0840096
duress	0.083853
espionage	0.0838029
dishonesty	0.0834857
bigotry	0.0825135
"grand larceny"	0.0823998
subversion	0.0823515
looting	0.0822062
"tax evasion"	0.0817073
persuasion	0.0813855
unfairness	0.0812671
arson	0.0812492
"mail fraud"	0.0811275
terror	0.0811225
retaliation	0.0805408
wrongdoing	0.0805312
forgery	0.0800866
negligence	0.0797654
exploitation	0.0797229
"foul play"	0.0796902
retribution	0.0793654
graft	0.0787203
mismanagement	0.0787066
nepotism	0.0786107
bias	0.0778757
"securities fraud"	0.077766
"money laundering"	0.0776046
malfeasance	0.07719
perjury	0.0771225
obstruction	0.076952
"sexual assault"	0.0769208
incitement	0.0768366
intrusion	0.0760644
hooliganism	0.0753215
racism	0.075049
abduction	0.0744222
Indiscipline	0.0743622
kidnapping	0.0742779
infringement	0.0741485
patronage	0.0740255
adulteration	0.0735636
violation	0.0735265
protectionism	0.0735121
plagiarism	0.0726531
atrocity	0.072073
cleansing	0.0715949
stalking	0.0713751
injustice	0.0713338
distortion	0.0707626
"breach of contract"	0.0702629
misbehavior	0.0702267
misrule	0.0701285
intervention	0.0699152
price-fixing	0.0699151
enslavement	0.0696172
ill-treatment	0.0686236
terrorism	0.0686062
kickback	0.0683046
destabilization	0.0682349
laxity	0.0679836
slander	0.0679747
criminality	0.0679103
bribe	0.0676773
larceny	0.0671738
cover-up	0.0671713
prejudice	0.0671384
beating	0.0671341
deceit	0.0671004
dereliction	0.066901
prostitution	0.0667276
leakage	0.0665127
incest	0.0662164
dumping	0.0657313
extremism	0.0652378
gunplay	0.0651265
instability	0.0651158
cannibalism	0.0646239
falsification	0.0645435
cruelty	0.0645414
infiltration	0.0643981
piracy	0.0643492
greed	0.0638763
tactic	0.0636982
shakedown	0.0634998
victimization	0.0633696
deprivation	0.0632492
blasphemy	0.0629223
adventurism	0.0628589
humiliation	0.0627384
destruction	0.0625689
"double standard"	0.0625356
robbery	0.0621486
suppression	0.0619993
coverup	0.0615403
punishment	0.0611327
smuggling	0.0608236
breach	0.0606144
unrest	0.0602621
infanticide	0.0602337
homophobia	0.0601612
tyranny	0.060042
endangerment	0.0598247
disruption	0.0598135
"drug use"	0.0597591
encroachment	0.0592688
hatred	0.0592629
"military action"	0.0592282
indoctrination	0.0591451
racketeering	0.0590441
hostility	0.0588731
seduction	0.0588165
"short selling"	0.0585631
delinquency	0.0584876
evasion	0.0583526
misdeed	0.0580079
bloodshed	0.0580041
imposition	0.0579547
sexism	0.0578213
degradation	0.0578099
"power politics"	0.0577796
invasion	0.057646
Ostracism	0.0576339
sodomy	0.0575751
hostage-taking	0.0575646
complicity	0.0575352
insecurity	0.0572526
brinkmanship	0.057217
duplication	0.0572109
hegemonism	0.057204
ignorance	0.0570992
lawlessness	0.0567796
illegality	0.0566552
noncompliance	0.0566407
irresponsibility	0.0565377
betrayal	0.0563812
escalation	0.05616
deportation	0.0561197
propaganda	0.056074
entrapment	0.0560125
assassination	0.0559826
incursion	0.0559249
"mass murder"	0.0556547
"character assassination"	0.0555785
"price control"	0.0555296
))
(Coetzer (desc 4109.85) (sims
Sugiyama	0.249666
Huber	0.226734
Corretja	0.225532
"American Chanda Rubin"	0.22001
Majoli	0.218143
Sanchez-Vicario	0.21617
Zvereva	0.209447
Halard-Decugis	0.208772
Ulihrach	0.20759
Novotna	0.207229
Henman	0.206839
Berasategui	0.20486
Stoltenberg	0.204745
"Australian Mark Philippoussis"	0.201582
"Sanchez Vicario"	0.200202
"South African Amanda Coetzer"	0.199296
"Iva Majoli"	0.197076
"Van Roost"	0.196791
Likhovtseva	0.196443
Schnyder	0.194865
Kuerten	0.194716
Seles	0.192498
Gustafsson	0.192366
Kournikova	0.190418
Kiefer	0.188751
Kafelnikov	0.18714
Krajicek	0.185684
Kucera	0.18555
Mauresmo	0.185251
Tauziat	0.184779
Pioline	0.184764
"Anke Huber"	0.184501
"Amanda Coetzer"	0.183756
"Arantxa Sanchez-Vicario"	0.183477
"Patty Schnyder"	0.182216
"Mary Pierce"	0.181945
Mantilla	0.178277
Ivanisevic	0.176547
Bjorkman	0.175483
"Dominique Van Roost"	0.17189
Ferreira	0.171605
Testud	0.171512
"Conchita Martinez"	0.170981
Enqvist	0.170875
Schett	0.170482
"Wayne Ferreira"	0.17029
Prinosil	0.169078
"Albert Costa"	0.168304
Raoux	0.167506
"American Todd Martin"	0.166554
"Ai Sugiyama"	0.166114
Dragomir	0.166018
"Nathalie Tauziat"	0.165378
Rusedski	0.162539
Safin	0.161521
Medvedev	0.161464
Capriati	0.161443
Philippoussis	0.161385
"Irina Spirlea"	0.160423
Clavet	0.159533
Davenport	0.157852
Gambill	0.157124
"Arnaud Clement"	0.156602
Edberg	0.156283
"Francisco Clavet"	0.156086
"Sandrine Testud"	0.155508
"Tim Henman"	0.155137
"Sergi Bruguera"	0.154908
"Alberto Berasategui"	0.154849
Santoro	0.154533
"Richard Krajicek"	0.153855
Lapentti	0.152678
Dosedel	0.152463
"Julie Halard-Decugis"	0.151876
Swardt	0.151816
"Arantxa Sanchez Vicario"	0.151663
"Carlos Costa"	0.150697
"Tommy Haas"	0.150414
Spirlea	0.150207
"Nicolas Kiefer"	0.149894
Moya	0.149589
Bruguera	0.149302
Puerta	0.148506
Hingis	0.148002
"Serena Williams"	0.147671
"Cedric Pioline"	0.147502
"Venus Williams"	0.147365
"Anna Kournikova"	0.146962
Spadea	0.146866
"Ruxandra Dragomir"	0.146636
Schalken	0.146073
Gimelstob	0.144819
"Thomas Enqvist"	0.144724
"Magnus Norman"	0.144561
Nicol	0.144208
"Andrei Medvedev"	0.143321
Arazi	0.143267
"Jana Novotna"	0.143231
"Chanda Rubin"	0.142279
Siemerink	0.142106
rios	0.141024
"Arnaud Boetsch"	0.140156
"Natasha Zvereva"	0.139286
Stolle	0.139223
"Vincent Spadea"	0.138244
"Russian Yevgeny Kafelnikov"	0.137995
"Lindsay Davenport"	0.137836
"Dominik Hrbaty"	0.137803
Hrbaty	0.137791
"Jason Stoltenberg"	0.137246
"Todd Martin"	0.13719
"Mariano Puerta"	0.137102
"Jan-Michael Gambill"	0.136871
"Mary Joe Fernandez"	0.136342
Agassi	0.136119
"Felix Mantilla"	0.135905
Damm	0.13541
Frenchwoman	0.135345
"Goran Ivanisevic"	0.135287
"Fernando Meligeni"	0.134824
"Jonas Bjorkman"	0.13465
"Tatiana Panova"	0.134622
"Richard Fromberg"	0.13461
"Marc Rosset"	0.134205
"Brenda Schultz-McCarthy"	0.133638
"Alberto Costa"	0.133583
"Magui Serna"	0.133199
"Naoko Sawamatsu"	0.132674
"Carlos Moya"	0.131996
"Fabrice Santoro"	0.131614
"Karol Kucera"	0.130792
"MaliVai Washington"	0.130337
"Marcelo Rios"	0.130162
"Byron Black"	0.12964
Korda	0.129412
"Alex Corretja"	0.129255
"Albert Portas"	0.129055
"Mark Philippoussis"	0.128783
"Andrea Gaudenzi"	0.128189
"Karim Alami"	0.128083
Woodforde	0.127857
Pierce	0.127211
Haas	0.127135
"Thomas Johansson"	0.12636
"Lisa Raymond"	0.126277
"Monica Seles"	0.126187
Larsson	0.126082
"Gustavo Kuerten"	0.12592
"Jeff Tarango"	0.125117
"Scott Draper"	0.12502
Meligeni	0.124951
"Elena Likhovtseva"	0.124842
Rosset	0.124632
"Tamarine Tanasugarn"	0.124596
"Sebastien Grosjean"	0.124586
Lucic	0.124558
"Kimiko Date"	0.123953
"Nathalie Dechy"	0.123792
Serena	0.12366
"Sarah Pitkowski"	0.123006
"Daniel Nestor"	0.122953
Haarhuis	0.122724
Rafter	0.122
"Sjeng Schalken"	0.121815
"Anne-Gaelle Sidot"	0.121754
"Franco Squillari"	0.121479
"Hernan Gumy"	0.12132
Kroslak	0.121313
"Mark Knowles"	0.120918
"American Lindsay Davenport"	0.120878
"Michael Chang"	0.120444
"Paul Haarhuis"	0.119339
"Wayne Black"	0.118657
"Gianluca Pozzi"	0.118631
Johansson	0.11858
"Barbara Schett"	0.118158
Costa	0.118155
"Boris Becker"	0.117996
"Martina Hingis"	0.117754
"Nicolas Lapentti"	0.117575
"Galo Blanco"	0.117169
"Magdalena Maleeva"	0.117151
"Patrick Rafter"	0.117095
"Li Fang"	0.117067
"Gong Zhichao"	0.116707
"Steffi Graf"	0.116084
"Greg Rusedski"	0.115876
Hendrawan	0.115623
"Barbara Paulus"	0.115296
"Magnus Gustafsson"	0.115164
"Yevgeny Kafelnikov"	0.114761
"Davide Sanguinetti"	0.114247
"Amy Frazier"	0.114123
"Kenneth Carlsen"	0.11371
"Andrei Pavel"	0.113259
"Jennifer Capriati"	0.112955
"Yayuk Basuki"	0.112946
"Marat Safin"	0.112925
"Thomas Muster"	0.112735
"Andre Agassi"	0.112735
Sidot	0.112677
Muster	0.112592
"Jerome Golmard"	0.112548
"Olga Barabanschikova"	0.112023
Chang	0.111988
"Lleyton Hewitt"	0.111957
Lareau	0.111877
"Corina Morariu"	0.111636
Tarango	0.111636
Gaudenzi	0.111116
"David Prinosil"	0.111051
"Petr Korda"	0.110325
"Amelie Mauresmo"	0.110206
"Javier Sanchez"	0.10999
"Judith Wiesner"	0.109698
Becker	0.109447
Woodruff	0.109373
"Hicham Arazi"	0.109337
"Michael Stich"	0.109069
Olympiakos	0.108987
"Leander Paes"	0.108841
"Tar Heels"	0.108555
"Sabine Appelmans"	0.108434
"Jim Courier"	0.108302
"Asa Carlsson"	0.107934
Graf	0.107931
"Christian Ruud"	0.107643
"Juan Antonio Marin"	0.106316
"Todd Woodbridge"	0.106178
Dokic	0.106041
"Taufik Hidayat"	0.104749
"Mark Woodforde"	0.104051
Woodbridge	0.103563
Sampras	0.103458
Waldner	0.103443
Rosenborg	0.103209
"Alex O'Brien"	0.102726
"Renzo Furlan"	0.102349
Ilie	0.102319
Habsudova	0.10208
Boilermakers	0.101847
Susanti	0.101749
"Filip Dewulf"	0.101666
"Sargis Sargsian"	0.101417
"Red Storm"	0.101252
"Jiri Novak"	0.100783
"Mahesh Bhupathi"	0.100765
"Pat Rafter"	0.100652
"Nicolas Escude"	0.100418
Spaniard	0.100326
))
(coexistence (desc 16603.9) (sims
equality	0.179659
neighborliness	0.158206
reconciliation	0.1523
"mutual understanding"	0.150724
good-neighborliness	0.147736
solidarity	0.142841
unity	0.140136
harmony	0.139094
noninterference	0.121214
peace	0.120015
interdependence	0.118275
reciprocity	0.115262
reunification	0.112063
Amity	0.110952
cooperation	0.109776
integration	0.109036
dialog	0.107166
stability	0.106526
friendship	0.104811
unification	0.100427
rapprochement	0.100243
democratization	0.0998904
nonviolence	0.0988164
Openness	0.0979674
relation	0.0967137
brotherhood	0.0965065
dialogue	0.0964902
prosperity	0.0956703
pluralism	0.0944553
understanding	0.0942983
tolerance	0.0930371
conciliation	0.092201
tranquility	0.0909687
"free trade"	0.0907211
complementarity	0.0901059
cohesion	0.0874433
trust	0.0873634
"rule of law"	0.0869882
confidence-building	0.0869797
democracy	0.0860419
detente	0.0857528
self-reliance	0.084354
coordination	0.083141
"Peaceful Coexistence"	0.0829548
governance	0.0819845
tranquillity	0.0809237
self-determination	0.0796317
"political relation"	0.0778591
normalization	0.0774064
nonalignment	0.0771566
fairness	0.0765753
nonintervention	0.0759305
partnership	0.0755472
relationship	0.0748287
transparency	0.0740579
stabilization	0.0736239
reintegration	0.0735845
"human rights"	0.0732124
goodwill	0.0728028
"human right"	0.0724329
disarmament	0.0711252
moderation	0.0707166
advancement	0.0702407
Non-Proliferation	0.0692754
well-being	0.0688738
interaction	0.0687385
cohesiveness	0.0686764
rejuvenation	0.0685941
revitalization	0.0685512
"international law"	0.0684982
neutrality	0.068367
diversity	0.068327
"freedom of speech"	0.0683179
emancipation	0.0678409
self-government	0.0671523
good-neighborly	0.0666951
"business relation"	0.0665299
Liberalization	0.0662492
settlement	0.0660256
dignity	0.0653628
forgiveness	0.0653158
separation	0.0644825
tension	0.0643483
freedom	0.0642537
participation	0.0642276
consultation	0.0641373
restoration	0.0640402
continuity	0.063661
"standard of living"	0.0630819
parity	0.0628024
universality	0.0627951
strengthening	0.0625143
collaboration	0.06248
enmity	0.0622527
engagement	0.0620432
Implementation	0.0619604
solution	0.0616609
empowerment	0.0614374
humanitarianism	0.0614315
diplomacy	0.0614117
confidence	0.0611834
"trade relation"	0.0609403
interoperability	0.0608886
"good will"	0.0608313
"UN Charter"	0.0607928
nation-building	0.0605381
"U.N. Charter"	0.0603875
modernization	0.060282
autonomy	0.0599278
friction	0.0596868
independence	0.059523
sharing	0.0593812
confrontation	0.0590651
consolidation	0.05889
principle	0.0588167
cordiality	0.0587337
Liberty	0.0585508
continuation	0.0585454
"collective security"	0.0584237
consensus	0.058346
compromise	0.0583222
integrity	0.0582586
cease-fire	0.0579963
"equal opportunity"	0.0579305
existence	0.0578196
patriotism	0.0576778
nonproliferation	0.0576485
"freedom of religion"	0.0573718
"United Nations Charter"	0.0572456
acceptance	0.0571441
attainment	0.0571403
secularism	0.0569133
inequality	0.0568693
equilibrium	0.0568438
reconstruction	0.0567739
"market economy"	0.0566979
diversification	0.0566681
civility	0.0565881
hatred	0.0565066
demilitarization	0.0563695
globalization	0.0562402
sovereignty	0.0560231
harmonization	0.0557823
bipartisanship	0.0557197
supremacy	0.0553178
normality	0.0552399
"majority rule"	0.0550593
calmness	0.0550554
mistrust	0.0549998
teamwork	0.054526
survival	0.0545061
resumption	0.0544203
arrangement	0.0542683
polarization	0.053933
purity	0.0536915
uplift	0.0535217
inclusiveness	0.0533114
subordination	0.0528552
preservation	0.0528326
"fundamental principle"	0.0527903
truce	0.0527563
eradication	0.0524311
confidentiality	0.0523896
pact	0.052387
friendliness	0.0520713
peace-making	0.0519303
"freedom of the press"	0.0518486
subsistence	0.0515848
power-sharing	0.0515599
discord	0.0515334
competitiveness	0.0514024
monogamy	0.0513839
happiness	0.0512023
animosity	0.0511839
"way of life"	0.0511559
civilization	0.0511524
industrialization	0.0510249
regionalism	0.0509129
transition	0.0508482
cohabitation	0.0507755
hostility	0.0506324
comity	0.0505905
healing	0.0505017
"conflict resolution"	0.0504134
socialism	0.0504053
linkage	0.0502977
"land reform"	0.0502182
"quality of life"	0.0500932
pragmatism	0.0500468
inclusion	0.0499267
realization	0.0498639
impartiality	0.0498217
decentralization	0.0497019
Convergence	0.0496574
multi-polarization	0.0495342
kindness	0.0495329
multiculturalism	0.0494931
self-discipline	0.0491678
adherence	0.0489813
accountability	0.0489195
))
(coffee (desc 81985.3) (sims
tea	0.274477
Beer	0.188892
sugar	0.184654
cocoa	0.184395
milk	0.176195
drink	0.17196
rice	0.171235
cereal	0.170805
fruit	0.17043
wine	0.166158
cotton	0.165361
"orange juice"	0.163786
wheat	0.162565
soda	0.160591
vegetable	0.1576
"soft drink"	0.155222
corn	0.15356
maize	0.151189
banana	0.150403
tobacco	0.1498
bean	0.148318
grain	0.146314
meat	0.145562
food	0.145349
bread	0.143103
soybean	0.142445
chocolate	0.141347
espresso	0.140133
"ice cream"	0.137885
cappuccino	0.132482
cheese	0.132241
beverage	0.131232
"sugar cane"	0.130174
sugarcane	0.129524
"cashew nut"	0.128103
flour	0.126534
yogurt	0.126048
juice	0.126007
"palm oil"	0.125674
"fruit juice"	0.124778
"dairy product"	0.12376
"mineral water"	0.123746
oil	0.12315
beef	0.122375
produce	0.122248
sandwich	0.122019
coconut	0.121431
potato	0.120394
"coffee bean"	0.120162
"iced tea"	0.120105
cigarette	0.119818
soup	0.119176
egg	0.118135
chicken	0.116953
pork	0.116235
candy	0.115199
liquor	0.114387
seafood	0.114164
peanut	0.113832
vodka	0.113416
biscuit	0.112895
fish	0.112426
tomato	0.112411
pizza	0.112036
shrimp	0.111456
rubber	0.111018
pasta	0.11041
"vegetable oil"	0.110196
crop	0.110192
snack	0.110173
"crude oil"	0.109865
meal	0.109536
jute	0.109437
"cooking oil"	0.109352
lunch	0.109006
champagne	0.108088
product	0.107835
lemonade	0.107346
honey	0.106937
poultry	0.106806
grape	0.105852
cooky	0.105622
bagel	0.105603
muffin	0.10525
foodstuff	0.105159
breakfast	0.104636
popcorn	0.103692
fertilizer	0.103528
textile	0.103513
butter	0.103337
Hamburger	0.103226
cola	0.103098
vanilla	0.101389
garment	0.101295
Coal	0.10125
spice	0.101206
timber	0.100843
alcohol	0.100798
salt	0.100463
cashew	0.100404
"green tea"	0.0993719
commodity	0.099154
sorghum	0.0991062
sausage	0.0982501
caviar	0.0981875
"peanut butter"	0.0981484
gasoline	0.0980745
nut	0.0979751
cake	0.0976036
goods	0.0973987
"hot dog"	0.0968257
rum	0.0967349
"hot chocolate"	0.0963063
onion	0.0962018
"french fries"	0.0957362
"olive oil"	0.095139
latte	0.0950928
doughnut	0.0947744
flower	0.0947462
"red wine"	0.0945084
apple	0.0941694
cement	0.0940076
dinner	0.0936881
pastry	0.0936552
salad	0.0936402
whiskey	0.0930905
coca	0.0925634
water	0.0914452
cider	0.0912818
vinegar	0.0912551
noodle	0.0908914
cassava	0.090621
"powdered milk"	0.0902859
pepper	0.0900481
dessert	0.0899936
Cigar	0.0893509
petroleum	0.0892573
"alcoholic beverage"	0.0891632
paddy	0.0890638
coke	0.0886863
Copper	0.088467
herb	0.0883095
pineapple	0.0881961
"raw material"	0.0879076
fuel	0.0874816
barley	0.0871978
soy	0.0867855
tequila	0.086564
"canned food"	0.0864411
mushroom	0.0862114
mango	0.0860987
cream	0.0860653
Livestock	0.0859439
cracker	0.0859429
"potato chip"	0.0856707
wool	0.0854449
Garlic	0.0851147
syrup	0.0849622
sweet	0.0848911
sauce	0.084704
cranberry	0.0846974
berry	0.0840956
"wheat flour"	0.0837386
citrus	0.0836953
liqueur	0.0836777
melon	0.0833764
lemon	0.0832203
"apple juice"	0.0831535
powder	0.0828703
caffeine	0.0828588
gas	0.0823494
dairy	0.0817317
marijuana	0.0815727
"natural gas"	0.0815595
"brown sugar"	0.0811853
pretzel	0.0811327
pie	0.0810583
oatmeal	0.0808501
peach	0.0808479
almond	0.0803457
steel	0.0803288
bottle	0.0802733
Liquid	0.0794287
buttermilk	0.0791887
Clothing	0.0790903
"dried fruit"	0.0788722
"food product"	0.0786661
"baked goods"	0.0785422
soap	0.0783317
medicine	0.0782686
margarine	0.0780349
cocaine	0.077672
"Diet Coke"	0.0776177
item	0.0775173
lumber	0.0770233
Cognac	0.0765456
metal	0.0765297
Chili	0.0762445
"root beer"	0.0760783
cinnamon	0.0760258
))
("coffee bar" (desc 1441.39) (sims
"tea house"	0.120352
coffeehouse	0.0997305
"dance hall"	0.0950427
Steakhouse	0.0861824
"wine cellar"	0.0812057
"fraternity house"	0.0800472
spas	0.0775627
"liquor store"	0.0773938
"beauty salon"	0.0746171
"shoe store"	0.0725801
SPA	0.0723417
"coffee shop"	0.0718433
"art gallery"	0.0717567
"food shop"	0.0712724
bookshop	0.0709799
bakery	0.0704197
"jewelry store"	0.070072
teahouse	0.0696438
"clothing store"	0.0683806
tearoom	0.0677236
"hardware store"	0.0667971
bistro	0.0662427
"landing strip"	0.0661903
eateries	0.065614
parlor	0.0654193
"snack bar"	0.0647765
campsite	0.0644576
disco	0.0641969
"truck stop"	0.0629105
"toy store"	0.0621988
"air duct"	0.061941
deli	0.0617548
"beauty parlor"	0.0609099
"gambling casino"	0.0606579
tavern	0.0598583
"gift shop"	0.0597468
trestle	0.0591903
"Microsoft Office"	0.0587573
"floor plan"	0.058291
barbershop	0.0577919
"open-air market"	0.0572116
kiosk	0.0570808
"discount store"	0.0547039
"retail operation"	0.0542521
"cattle ranch"	0.0537172
flask	0.0535901
chalice	0.0535674
mantelpiece	0.0534814
pizzeria	0.0533097
"convenience store"	0.0525264
delicatessen	0.0524323
"gold miner"	0.0523966
RV	0.052376
"bowling alley"	0.0522548
Sheraton	0.0519653
Opry	0.051892
"pizza parlor"	0.0517652
drugstore	0.0508706
"stock company"	0.0507495
"candy store"	0.050727
Marina	0.050373
"Lincoln Town Car"	0.0503177
"butcher shop"	0.0497394
"chicken coop"	0.0496694
"office block"	0.0494231
"watering hole"	0.0493684
Brasserie	0.0490656
minaret	0.0490497
junkyard	0.0480966
faucet	0.0480051
sunroof	0.0478003
"boarding house"	0.0475235
"phone booth"	0.0474231
"Print Shop"	0.0474046
daycare	0.0471158
porthole	0.047115
"service station"	0.046954
"building site"	0.0468929
"B&AMP;B"	0.0468383
"gas plant"	0.0465973
"bus stop"	0.0465779
"storage room"	0.0465373
"Radio Shack"	0.046446
kennel	0.0464089
"ski lift"	0.0463166
saloon	0.0462699
bed-and-breakfasts	0.0461493
"sea lane"	0.0460255
"drilling rig"	0.0460069
"brokerage account"	0.045963
"conference center"	0.0459564
"jam session"	0.0455741
marshland	0.0454404
atrium	0.0453096
"domed stadium"	0.0452814
"Holiday Inn"	0.0451941
"tennis court"	0.0451101
flexor	0.0450628
"holding cell"	0.0449242
"petrol station"	0.0449055
skylight	0.0447807
"radio transmitter"	0.0447449
"slot machine"	0.0447228
photocopier	0.0446179
"skating rink"	0.0445825
"vending machine"	0.0444912
"douglas fir"	0.0444121
skateboarder	0.0441311
Hyatt	0.0440046
"spaghetti sauce"	0.0439973
"resort hotel"	0.0438969
mortuary	0.0437977
cooling	0.0437794
"Dudley Do-Right"	0.043648
commissary	0.0436447
Cineplex	0.0435206
armoire	0.0434977
"warm front"	0.0434872
"specialty store"	0.0434146
"exercise equipment"	0.0433559
veggie	0.0432885
"Chez Panisse"	0.0432641
cayman	0.0432436
racehorse	0.0432197
"application program"	0.0430849
Unix	0.0427907
nightspot	0.0427837
"root beer"	0.0424555
distillery	0.0424301
"bank vault"	0.0424139
amulet	0.0423543
Usenet	0.0423088
shamrock	0.0420317
"thermonuclear warhead"	0.0419501
donut	0.0419365
"recording studio"	0.0419106
Ritz-Carlton	0.0419089
Palazzo	0.0419039
"CD player"	0.0418659
guesthouse	0.0418431
wader	0.0418199
dacha	0.0416496
atelier	0.0415078
Spillway	0.0413326
"Brooks Brothers"	0.0411693
sloop	0.0411021
"change of mind"	0.0410777
OS/@	0.041058
"computer store"	0.0410236
sanitarium	0.0408126
checkerboard	0.0407069
cupola	0.0406773
fruitcake	0.0405043
"hunting ground"	0.0403738
ancients	0.0403654
"filling station"	0.0403416
"repair shop"	0.0403209
Marriott	0.0402396
distributorship	0.0400438
))
("coffee bean" (desc 4759.96) (sims
"cashew nut"	0.14411
sugarcane	0.123951
"food grain"	0.123713
coffee	0.120162
"palm oil"	0.119193
maize	0.113547
"wheat flour"	0.109575
bean	0.10867
grain	0.107734
wheat	0.105765
"fish meal"	0.104316
cocoa	0.103131
foodstuff	0.100862
jute	0.100796
"black tea"	0.0987702
pistachio	0.0986591
cotton	0.0981216
barley	0.0969323
soybean	0.0960282
sugar	0.0948837
corn	0.0911564
cement	0.0909371
citrus	0.0894111
"fuel oil"	0.0884233
rice	0.0865079
sorghum	0.0847336
wool	0.0843367
"food product"	0.0836793
LNG	0.0836335
"crude oil"	0.0830638
"fish fillet"	0.082121
"cooking oil"	0.0819797
grape	0.0810659
fertilizer	0.081039
vegetable	0.0808993
"sugar cane"	0.0799287
tea	0.0797448
fruit	0.0796649
"cane sugar"	0.0795775
banana	0.0790905
timber	0.0783988
"vegetable oil"	0.0781838
"powdered milk"	0.0781161
"soybean oil"	0.0779836
flour	0.0776422
newsprint	0.077365
pork	0.0772952
paddy	0.0763485
lint	0.0756719
cereal	0.0753676
"ammonium nitrate"	0.0744092
cashew	0.0743748
"sweet corn"	0.0737394
"iron ore"	0.0735473
poultry	0.0735443
"raw material"	0.0733037
"steel plate"	0.0730716
"consumer goods"	0.0724866
ore	0.0723416
Copper	0.0723138
"dairy product"	0.0720663
"frozen food"	0.0718799
honey	0.0717503
"waste material"	0.0712594
"caustic soda"	0.0711987
spice	0.0710856
ingot	0.0706372
almond	0.0704727
buckwheat	0.0702274
rubber	0.0700824
"alcoholic beverage"	0.0700754
hazelnut	0.0696228
"diesel oil"	0.0692716
coconut	0.0688672
"sea food"	0.0682541
receivables	0.0676377
"dog food"	0.0673184
caviar	0.0670419
potato	0.0667085
powder	0.0662998
"diesel fuel"	0.0658381
CPO	0.0658318
Coal	0.0656886
"citrus fruit"	0.0655291
"citric acid"	0.0654788
"tea leaf"	0.0649952
"precious metal"	0.0649812
"liquefied petroleum gas"	0.0648496
peanut	0.0648041
tobacco	0.0642359
Cherry	0.0640406
shrimp	0.062976
petroleum	0.0627888
seafood	0.0622922
detergent	0.0621761
cassava	0.0621507
"milk powder"	0.0621117
urea	0.0619316
clove	0.0615832
abalone	0.0614011
"jelly bean"	0.0611309
LPG	0.0605628
polyethylene	0.0603814
phosphate	0.0602192
"building material"	0.0601581
"mineral water"	0.0598859
cheerio	0.0596216
"orange juice"	0.059598
eel	0.059483
"oil palm"	0.0590366
tapioca	0.0588636
opium	0.0587603
blueberry	0.0586673
cannabis	0.0585267
hashish	0.0583271
crude	0.0582499
nut	0.058145
"passenger car"	0.0579738
non-oil	0.0579286
mango	0.0573688
"soya bean"	0.0570361
espresso	0.0569426
latex	0.0568894
Firewood	0.0568014
"pig iron"	0.056704
melon	0.0566711
"polyvinyl chloride"	0.0564806
polypropylene	0.0562751
bitumen	0.0562029
onion	0.0557941
plantain	0.0556366
"macadamia nut"	0.0553629
uranium	0.0553526
oreo	0.0553268
chocolate	0.0552591
"electronic equipment"	0.0552415
litchi	0.0549775
Furbys	0.0549035
pulp	0.054886
fodder	0.054758
"pumpkin seed"	0.0546384
"spaghetti sauce"	0.054099
pineapple	0.0539193
rapeseed	0.0539107
donut	0.0539064
Garlic	0.0537678
oyster	0.053632
seaweed	0.0532666
cappuccino	0.0531046
starch	0.0528324
ethylene	0.0528195
"sunflower seed"	0.0528153
mutton	0.0524287
by-product	0.0523465
"home appliance"	0.0522746
agave	0.0521913
popcorn	0.0521402
cola	0.0521138
"precious stone"	0.0520237
lumber	0.0519777
tomato	0.051821
"skim milk"	0.0517954
petrol	0.0517704
ammonia	0.0516721
"heating oil"	0.0515884
hay	0.0515668
"fresh fish"	0.05131
"over @,@@@ tons"	0.0512878
yarn	0.051281
oilseed	0.0511603
"Bordeaux wine"	0.0511431
"food aid"	0.0509729
forage	0.0509121
"over @@@,@@@ tons"	0.0508668
methanol	0.0508119
"natural gas"	0.0507554
peach	0.0507448
cranberry	0.0507405
garment	0.0507137
"heavy cream"	0.0505362
handicraft	0.0505107
coca	0.0504285
beet	0.0501991
"frozen foods"	0.0499189
"M&AMP;M"	0.0498435
heroin	0.049771
pecan	0.049768
lubricant	0.0497652
polyester	0.0496542
lavender	0.0492557
kernel	0.049051
biscuit	0.0489049
"durable goods"	0.0488663
herb	0.0488585
soda	0.0488501
"California wine"	0.0486478
grocery	0.0486279
hGH	0.0486088
"black pepper"	0.0485382
"ice water"	0.0485359
))
("coffee cup" (desc 4156.65) (sims
"shopping bag"	0.101545
"water jug"	0.0996796
"paper cup"	0.0974379
"water bottle"	0.0967224
tray	0.0927704
wrapper	0.0899742
jug	0.0899445
napkin	0.0897823
carton	0.0865271
"cigarette lighter"	0.0853701
"wine bottle"	0.0835726
"packing material"	0.082208
"grocery bag"	0.0761654
"cereal box"	0.0748603
cutlery	0.0744728
container	0.0720443
pail	0.0717717
suitcase	0.070448
"trash can"	0.0703658
"beer bottle"	0.0698291
dispenser	0.0684247
utensil	0.0681086
teacup	0.0674304
silverware	0.0668299
jar	0.0663694
"coffee mug"	0.065963
Matchbox	0.0656514
urn	0.0650585
"cigarette butt"	0.0634938
platter	0.0634066
saucer	0.0632102
handkerchief	0.0626679
shredder	0.0626388
wastebasket	0.0624865
"beer can"	0.0613795
Tin	0.0605829
syringe	0.0594965
hanger	0.0585138
"garbage can"	0.0582563
vial	0.0582479
bowls	0.0579097
"soda can"	0.0576605
toothbrush	0.0568412
doll	0.0562963
bucket	0.0554485
shredders	0.0545915
"name tag"	0.0539982
mattress	0.0539835
paintbrush	0.0538786
tumbler	0.0535367
"beach towel"	0.0534443
chopstick	0.0532048
luggage	0.053164
"key ring"	0.0531006
parasol	0.0530922
flashlight	0.0529901
"rearview mirror"	0.0528634
pencil	0.0527115
broom	0.052658
"gas tank"	0.0522844
vase	0.0522465
birdbath	0.052191
"window box"	0.0519625
"coffee pot"	0.0516067
tableware	0.0515841
"duffel bag"	0.0513958
"tin can"	0.0512123
"dollar bill"	0.0511489
tripod	0.0508962
flatware	0.0508889
"baseball cap"	0.0508584
slipcover	0.0507502
figurine	0.0506422
"paper bag"	0.0506061
cartridge	0.0505737
sweatshirt	0.0504468
bluejeans	0.0503488
"Palm III"	0.0502897
"greeting card"	0.0502332
birdhouse	0.0501503
trinket	0.050029
mug	0.049772
bookcase	0.049733
crate	0.0497004
towel	0.0495265
cardboard	0.0492437
"shower stall"	0.0491798
razor	0.0491714
Tomahawk	0.0490808
"summer house"	0.0489298
coverall	0.048855
noggin	0.048818
"lawn chair"	0.0487979
cellphones	0.0487032
briefcase	0.0485778
stapler	0.048511
pint	0.0484091
lantern	0.0481464
earphone	0.0478395
ceramic	0.0477439
slipper	0.0476022
scraps	0.0475419
Dumpsters	0.0473218
placard	0.0472964
"cutting board"	0.0472187
"baseball card"	0.0468879
Tupperware	0.0466426
wristwatch	0.0465081
"business card"	0.0464834
Goblet	0.0463223
"contact lense"	0.0462736
"three pitchers"	0.0461342
scarf	0.045909
"picture frame"	0.0458508
"shopping cart"	0.0458402
"piece of paper"	0.0457231
"sweat pants"	0.0454285
satchel	0.0453604
saucepan	0.0449403
clipboard	0.044745
quilt	0.0446777
cupboard	0.0445821
cylinder	0.0444051
"radio set"	0.0443523
clicker	0.044176
brooch	0.0440917
stacks	0.0440775
"fire extinguisher"	0.0439647
kettle	0.0439602
"dinner plate"	0.0438518
souvenir	0.043786
"newspaper clipping"	0.043572
"toilet paper"	0.0435588
tablecloth	0.0435568
rod	0.0434526
stub	0.0434393
toiletry	0.0430246
"putty knife"	0.0429941
pouch	0.0429919
wrapping	0.0429185
candle	0.0428204
Bonnet	0.042695
stopwatch	0.0426811
lamp	0.0426489
tombstone	0.0426422
"dining table"	0.0426068
tarp	0.042465
teapot	0.0423599
cappuccino	0.0422533
pallet	0.0421019
diaper	0.0420524
cubicle	0.0419532
"window frame"	0.0418083
tub	0.041788
crock	0.0417124
Poncho	0.0416507
"hearing aid"	0.041648
putter	0.0415833
postcard	0.0415694
handbag	0.0414894
ashtray	0.0413665
"golf ball"	0.0413249
"garden hose"	0.041266
"phone booth"	0.0412165
pullover	0.0412148
badge	0.0411668
"life jacket"	0.041145
ornament	0.0410919
lampshade	0.0410575
yo-yo	0.0408604
eggshell	0.0407247
barbell	0.0406002
croissant	0.0405593
"musical instrument"	0.0405227
"baseball bat"	0.0404499
"boarding pass"	0.0404355
"vacuum cleaner"	0.0403367
"fur coat"	0.0402865
parka	0.040219
drawer	0.040165
))
("coffee maker" (desc 2859.49) (sims
toaster	0.12877
"vacuum cleaner"	0.108553
"washing machine"	0.103633
"hair dryer"	0.0954964
dishwasher	0.0931693
mixer	0.0808489
"CD player"	0.0786617
"microwave oven"	0.0771679
air-conditioner	0.0722215
"space heater"	0.0702223
"bed linen"	0.0696878
"packing material"	0.0682923
"can opener"	0.067887
"gas stove"	0.0678064
"coffee pot"	0.0676101
"water heater"	0.0668087
dryer	0.0663544
microwave	0.0653521
cooker	0.0605477
"videocassette recorder"	0.0602406
shaver	0.0600921
faucet	0.0599056
kettle	0.0598447
handbag	0.0589409
VCR	0.0570746
freezer	0.0552717
shawl	0.0549712
conditioner	0.0535563
"color television"	0.0526374
"lawn mower"	0.0521465
"light bulb"	0.0520424
"filing cabinet"	0.0512549
sorter	0.0510677
mower	0.0507483
"fax machine"	0.0505696
pillowcase	0.0502063
"piece of furniture"	0.0500449
"stereo system"	0.0498905
stereo	0.0476623
Jacuzzi	0.0474731
"audio CD"	0.0470005
"kitchen appliance"	0.046851
"household appliance"	0.0466089
"household product"	0.0457885
debit	0.0451365
blender	0.0450542
"hot plate"	0.0449057
"department store chain"	0.0448403
fryer	0.0441107
camcorders	0.0435723
"windshield wiper"	0.0433187
"fur coat"	0.0425406
cookware	0.0425336
"radio wave"	0.0424703
countertops	0.0423619
Chancellor-elect	0.0411422
screwdriver	0.0409247
blower	0.0406527
dispenser	0.0406196
"air filter"	0.0406055
zeppelin	0.0403313
"food processor"	0.040084
))
("coffee mug" (desc 3826.34) (sims
"sweat pants"	0.154098
"baseball cap"	0.111171
"key ring"	0.109668
"greeting card"	0.107255
T-shirt	0.101061
mug	0.100362
sweatshirt	0.100142
brooch	0.096515
windbreaker	0.088448
bluejeans	0.0878927
"tennis shoe"	0.0872002
sunglasses	0.0849567
sticker	0.0837872
"tote bag"	0.0819953
"blue jean"	0.0799489
"leather jacket"	0.0774783
postcard	0.0764072
"picture frame"	0.0761778
"trading card"	0.075407
poster	0.0735348
knickknack	0.0729245
bandanna	0.0725581
trinket	0.0710342
notepad	0.0704161
"ballpoint pen"	0.0675157
"shopping bag"	0.0674732
"polo shirt"	0.0672966
"coffee cup"	0.065963
sneaker	0.0657348
"fountain pen"	0.0636159
necktie	0.0635723
"grocery bag"	0.0624983
memorabilia	0.0613476
khaki	0.0612098
wristwatch	0.0608689
medallion	0.0597983
capris	0.0594332
backpack	0.0592229
Chino	0.0583086
rosary	0.05805
barrette	0.0568855
"Palm Pilots"	0.0568752
scarf	0.0563704
"cowboy hat"	0.0551847
moccasin	0.0550081
souvenir	0.0548609
paraphernalia	0.0547268
eyeglass	0.0546362
parka	0.0543024
"measuring cup"	0.0542758
sarong	0.0541666
trouser	0.0530175
"belt buckle"	0.0525875
jumpsuit	0.0524173
necklace	0.0522351
"soccer ball"	0.0521564
eyeglasses	0.0517539
"teddy bear"	0.0505261
"bathing suit"	0.0502086
"paper bag"	0.0498896
bib	0.0498189
brochure	0.0497799
figurine	0.0497385
pajama	0.0496918
"sheet music"	0.0493796
badge	0.0492383
booklet	0.0489489
plaque	0.048574
decal	0.0482152
"license plate"	0.0481821
stationery	0.0481671
cardigan	0.0480606
"membership card"	0.047735
jug	0.04751
swimsuit	0.0473975
camisole	0.0472877
Stamps	0.0472121
beret	0.0471096
leaflet	0.0469111
satchel	0.0468835
refreshment	0.0465684
handbill	0.0465326
visor	0.0463598
handkerchief	0.0463216
Thermos	0.0459431
sandal	0.0456628
urn	0.0455864
seashell	0.045514
Barbies	0.0452836
bracelet	0.0452315
placard	0.0451781
"straw hat"	0.0449121
"cowboy boot"	0.0448312
Boomerang	0.0448247
"tuna fish"	0.0447612
"beach towel"	0.0444955
"duffel bag"	0.0444645
ashtray	0.0442807
"running shoe"	0.0439962
joysticks	0.043911
"rubber boot"	0.0438083
"ticket stub"	0.0437453
clipboard	0.0435433
"cigarette lighter"	0.0433791
pashmina	0.0433482
smock	0.0432795
"pants suit"	0.0431855
pullover	0.043063
turban	0.0429641
anorak	0.0427275
earring	0.0426279
pendant	0.042566
Poncho	0.0424383
"wrapping paper"	0.0424242
coverall	0.0422453
knapsack	0.0421486
cutoffs	0.0420489
bandana	0.0419181
"cereal box"	0.041755
"Beanie Babies"	0.041505
handbag	0.0414127
"party favor"	0.0412889
"postage stamp"	0.0411444
"gas stove"	0.0410359
apron	0.0410326
"train ticket"	0.0409384
stylus	0.040757
"Honda Accord"	0.0407542
undershirt	0.0406454
shawl	0.0405248
"baseball card"	0.0404348
Furbys	0.0404123
CVS	0.0403663
headband	0.040344
overcoat	0.0403048
"kitchen appliance"	0.0402582
bulgur	0.0400617
))
("coffee pot" (desc 1027.6) (sims
joysticks	0.096739
"paper cup"	0.0871422
teacup	0.080244
"pocket watch"	0.076225
windscreen	0.07421
"gas stove"	0.0741405
"split personality"	0.0734352
teapot	0.0729273
"piece of cloth"	0.0699765
Webcam	0.067827
"coffee maker"	0.0676101
"shower stall"	0.0657684
GRIDDLE	0.0630628
ramekins	0.0629314
bomblets	0.059106
"power unit"	0.0588375
"display case"	0.0584097
"mental institution"	0.0570637
alcove	0.0564764
Eszterhas	0.0537264
"gas tank"	0.0533635
"herb garden"	0.0532713
streetlight	0.0522574
autopilot	0.0521938
"holiday resort"	0.0521165
"tape player"	0.0519055
"coffee cup"	0.0516067
birdbath	0.0513482
"fountain pen"	0.0512274
doorknob	0.0505085
"sales outlet"	0.0501979
"cruise control"	0.0494808
shoplifter	0.0491056
transnationals	0.0489164
"hydrogen bomb"	0.048536
"radio transmitter"	0.048523
sub-branches	0.0480676
"tea set"	0.0477257
chalice	0.0473221
"water cooler"	0.0473065
"clock radio"	0.046938
copier	0.0468944
pinata	0.0467697
poop	0.0463305
lightbulb	0.0462689
kettle	0.0462147
"flour mill"	0.0462121
sundae	0.0461468
Linus	0.0460774
"battering ram"	0.0459124
photocopier	0.0458951
caldron	0.0458126
"Chevrolet Blazer"	0.0452289
pane	0.0451356
"dining table"	0.044936
relays	0.0447307
hosta	0.0447086
Bund	0.0446201
Goblet	0.0445108
turntable	0.0444235
raffle	0.0442566
flask	0.044011
"second person"	0.0440016
sunroof	0.043942
camcorders	0.0437905
Tamale	0.0437874
"Comcast Corp."	0.0437599
"rolling pin"	0.0436487
florets	0.0436092
Sevens	0.0434658
wok	0.0433372
"motor oil"	0.0433342
chowder	0.0432414
"floppy disk"	0.0431897
spigot	0.0431008
parasol	0.0430958
critters	0.0430648
stakeout	0.0430584
pushcart	0.0428447
"telephone booth"	0.0428065
"mechanical device"	0.0427822
diorama	0.0427703
joystick	0.0427576
porthole	0.0426344
dachshund	0.0425799
skylight	0.0424897
"automatic teller machine"	0.0422735
"street lamp"	0.0422623
shredder	0.0421026
urinal	0.0420719
"Pentium III"	0.0420488
sauerkraut	0.0419599
creche	0.0419277
"Long Island Rail Road"	0.0418852
"mink coat"	0.0418812
Frisbee	0.0417833
"vacuum cleaner"	0.041679
campsite	0.0416177
cn	0.0415356
"balanced diet"	0.0414028
"measuring cup"	0.0413772
"water pipe"	0.0413194
"candy bar"	0.0413104
"furniture company"	0.0411455
"alarm system"	0.041125
"circuit board"	0.0411057
"North Africans"	0.0410962
slapper	0.0409632
beaker	0.0408761
"hearing aid"	0.0408336
"kitchen sink"	0.0407797
intranets	0.0407514
faucet	0.0407424
"house party"	0.0407148
"man's body"	0.0405059
megaplex	0.04048
blackboard	0.0404486
floodlight	0.0404285
gyroscope	0.0404122
"Big Bird"	0.0403893
Thresher	0.0403436
stapler	0.0401118
))
("coffee shop" (desc 15620.1) (sims
cafe	0.174551
deli	0.154816
"grocery store"	0.151673
restaurant	0.146734
coffeehouse	0.145792
"convenience store"	0.143102
tavern	0.142003
pub	0.139062
"clothing store"	0.134045
bistro	0.132322
"gas station"	0.128034
"liquor store"	0.125671
delicatessen	0.124893
cafeteria	0.124843
shop	0.116564
"food shop"	0.115872
supermarket	0.115415
"movie theater"	0.115357
bookstore	0.113518
"hardware store"	0.112628
nightclub	0.11176
boutique	0.1112
parlor	0.110905
diner	0.110573
bakery	0.11047
bar	0.108941
"gift shop"	0.106984
drugstore	0.106528
"tea house"	0.104528
"service station"	0.10281
"dance hall"	0.101625
"art gallery"	0.100967
store	0.10052
discotheque	0.100239
eateries	0.0970114
barbershop	0.0966404
"shopping center"	0.0962007
"truck stop"	0.0959255
"shopping mall"	0.0956315
"repair shop"	0.0952535
motel	0.0946797
"shoe store"	0.0942406
salon	0.0940302
hotel	0.0927547
"toy store"	0.0924742
lounge	0.0909903
"jewelry store"	0.0908706
"beauty salon"	0.0890435
pizzeria	0.0885464
"department store"	0.0885333
"computer store"	0.0882131
teahouse	0.0874782
"beauty shop"	0.0872879
"post office"	0.0872367
mall	0.0867022
"bowling alley"	0.0864579
"community center"	0.0860466
grocery	0.0855599
bookshop	0.0854054
kiosk	0.0847902
Starbucks	0.0845204
"dining room"	0.0837506
"office building"	0.0833209
Pharmacy	0.0831429
Steakhouse	0.0831312
"general store"	0.0822419
inn	0.0813719
"funeral home"	0.0804177
saloon	0.0802215
"bus station"	0.0800115
florist	0.0792763
"pizza parlor"	0.078721
gym	0.0783687
arcade	0.0777329
dealership	0.077106
brothel	0.0768955
disco	0.0768844
MCDONALD's	0.0762935
"conference room"	0.0758684
"bus stop"	0.0752652
apartment	0.0751566
hangout	0.0746113
ballroom	0.074346
"candy store"	0.074231
"amusement park"	0.0737044
"coffee bar"	0.0718433
Marina	0.0717137
"movie house"	0.0708448
"butcher shop"	0.07032
"day care center"	0.0701037
"recording studio"	0.0698247
clinic	0.06927
gallery	0.0692074
"gasoline station"	0.0691811
emporium	0.0690282
theater	0.0685565
"watering hole"	0.0681774
Casino	0.0676552
"dry cleaner"	0.0675772
"specialty store"	0.0675752
"Seasons Hotel"	0.0675674
"fire station"	0.0670958
SPA	0.0667794
"Waffle House"	0.0660783
Spago	0.0659343
kitchen	0.0658374
nightspot	0.0653603
"retail store"	0.0651297
grocer	0.0646019
Warehouse	0.064352
garage	0.0641616
"parking lot"	0.0640558
"cocktail party"	0.0639268
"machine shop"	0.0637462
"police station"	0.0636453
library	0.0634495
joint	0.0634209
cinema	0.0632757
dealerships	0.063026
"travel agency"	0.062962
outlet	0.0628332
"apartment building"	0.0628208
"subway station"	0.0627593
"chain store"	0.0626092
spas	0.0625927
"flea market"	0.0625363
hooter	0.0624664
auditorium	0.0624091
canteen	0.0622433
"elementary school"	0.0621696
pawnshop	0.0621276
studio	0.0618838
"Burger King"	0.0618272
"flour mill"	0.0616591
"law practice"	0.0616411
"train station"	0.0614421
showroom	0.061284
"game room"	0.0612128
"bus terminal"	0.060864
multiplex	0.0607568
nursery	0.0606312
booth	0.059867
nightspots	0.0598532
synagogue	0.0598394
caterer	0.0585317
"nursing home"	0.0585302
winery	0.0582896
"back room"	0.0581395
hall	0.0580635
"Holiday Inn"	0.0579665
sawmill	0.0577155
lodge	0.0574559
loft	0.0568673
"exhibition hall"	0.056584
gymnasium	0.0555068
storefront	0.0553899
buffet	0.0553581
junkyard	0.0553188
stalls	0.0552633
brownstone	0.055184
"beauty parlor"	0.0550248
"vending machine"	0.0550021
"entertainment center"	0.0548185
"Chez Panisse"	0.0547149
"soup kitchen"	0.0544135
newsstand	0.054362
resort	0.0540837
"waiting room"	0.0540168
"swimming pool"	0.0536002
townhouse	0.0535745
pier	0.0535287
catering	0.0533933
"hotel room"	0.0533894
classroom	0.0533292
"conference center"	0.0532039
suite	0.0529521
Brasserie	0.0528368
"town hall"	0.0528261
hallway	0.0525368
"dinner party"	0.0519548
"discount store"	0.0519246
"open-air market"	0.0518553
"radio station"	0.0518403
"phone booth"	0.0517441
Ritz-Carlton	0.0515569
taxicab	0.0514783
"living room"	0.0514123
"boarding house"	0.0512277
"B&AMP;B"	0.0511308
"golf course"	0.0511296
mosque	0.0510978
"Catholic school"	0.0510511
"polling place"	0.0510445
"polling station"	0.0509496
commissary	0.0508266
bed-and-breakfast	0.0504972
jeweler	0.050331
"street corner"	0.0502599
"filling station"	0.0502571
hangar	0.0500663
))
("coffee table" (desc 7680.47) (sims
armoire	0.143299
sofa	0.142673
bookcase	0.142503
bookshelf	0.130271
"love seat"	0.120439
easel	0.119677
mantel	0.119644
"writing desk"	0.119426
armchair	0.117105
"easy chair"	0.11557
"dining table"	0.114414
desk	0.11277
couch	0.109428
stool	0.108979
table	0.106309
mantelpiece	0.0982635
"kitchen table"	0.0952324
"conference table"	0.0936362
shelf	0.0927436
settee	0.0898615
sideboard	0.0894958
rug	0.0880002
dresser	0.0867636
"card table"	0.0846626
pedestal	0.0832985
"side chair"	0.0830853
"display case"	0.0817493
cot	0.08168
Tables	0.0815204
furniture	0.0804623
countertops	0.0783264
pillow	0.0749732
lamp	0.0748612
ledge	0.0746519
"shower stall"	0.0722048
commode	0.0705799
mattress	0.0704785
fireplace	0.0695313
countertop	0.0692498
vase	0.0683641
paperweight	0.0675747
headboard	0.0674478
paneling	0.0659582
carpet	0.065796
banquette	0.0656203
chandelier	0.064738
WINDOWSILL	0.0646897
"rocking chair"	0.0644092
"television set"	0.0639858
stoop	0.0637589
carpeting	0.0630709
Ottoman	0.0621712
tabletop	0.0618011
tray	0.0610585
"lawn chair"	0.0596153
Casket	0.0594703
porch	0.0594105
cupboard	0.0582378
lampshade	0.0579
thumbnail	0.0577515
refrigerator	0.0576221
"lounge chair"	0.0569421
bathtub	0.0565791
tablecloth	0.056542
"folding chair"	0.0564023
stereo	0.0561257
VCR	0.0551533
gazebo	0.0549818
sidewalk	0.0549208
"pool table"	0.0549124
patio	0.0546516
"piece of furniture"	0.0546042
closet	0.0544481
"park bench"	0.054371
dashboard	0.0543257
lectern	0.0541292
stove	0.0536862
"file cabinet"	0.0531862
"dinner plate"	0.0528265
recliner	0.0526928
pew	0.0525161
walkway	0.0521597
cushion	0.0517801
veranda	0.0515758
drawer	0.0503212
cubicle	0.0502389
"picture frame"	0.0499519
mat	0.0499015
"kitchen appliance"	0.0498135
crate	0.0497341
staircase	0.0496919
furnishings	0.0494962
pane	0.0492841
railing	0.0491335
"rear window"	0.0489758
terrace	0.0487183
slab	0.0483115
deck	0.0480145
"washing machine"	0.0477567
"stereo system"	0.0473951
"basketball court"	0.0471515
"CD player"	0.046957
storefront	0.046232
tile	0.0462111
gravestone	0.0460154
"master bedroom"	0.0459391
chest	0.0458192
"entertainment center"	0.0455865
porthole	0.0454605
"front porch"	0.045118
bleachers	0.0449908
pavement	0.0449487
"breakfast table"	0.0443604
urinal	0.0442617
windshield	0.0441787
toaster	0.0441259
"dance floor"	0.0439955
"window frame"	0.0439792
"waiting room"	0.0439749
console	0.0438704
wastebasket	0.0438179
quickie	0.043787
"fishing rod"	0.043507
"red carpet"	0.0434791
promontory	0.04344
"compact car"	0.0433387
typewriter	0.043322
"sitting room"	0.0431071
"solid ground"	0.043077
"filing cabinet"	0.0430048
teapot	0.0429423
bunk	0.0428192
awning	0.0428112
insulator	0.0427722
decor	0.0427166
"alarm clock"	0.0426827
trestle	0.0425687
"beach towel"	0.0425409
enclosure	0.0424569
urn	0.0423478
racquet	0.0423041
stair	0.0422805
self-help	0.0419888
balcony	0.041947
fountain	0.0419232
entryway	0.0418339
ashtray	0.0418097
skylight	0.0415938
"tennis ball"	0.0414833
"trash can"	0.0414284
tarmac	0.0412485
mosaic	0.0412324
plank	0.0411671
"grand piano"	0.0411633
desktop	0.0411553
"round table"	0.0411436
coffin	0.0410711
dishwasher	0.0409936
platter	0.0409597
Stairway	0.0408855
vas	0.040701
headstone	0.0405423
"bunk bed"	0.0405363
"sound system"	0.0405273
wallpaper	0.0404489
floorboard	0.0403836
divider	0.0403827
"tape recorder"	0.0403181
sarcophagus	0.0402954
windscreen	0.040283
dowry	0.0402777
shredders	0.0402716
flashlight	0.0402011
chalet	0.0401104
siding	0.0400544
sunroof	0.0400497
))
(coffeehouse (desc 5949.28) (sims
"coffee shop"	0.145792
cafe	0.11034
pub	0.10999
"liquor store"	0.10631
delicatessen	0.102733
bistro	0.101162
nightclub	0.100734
"food shop"	0.100655
"dance hall"	0.100285
"coffee bar"	0.0997305
"art gallery"	0.0983545
eateries	0.0977505
parlor	0.0971499
tavern	0.0928962
bookstore	0.0908266
"convenience store"	0.0906911
"bowling alley"	0.088375
boutique	0.0881416
"tea house"	0.0868214
"clothing store"	0.0843792
bakery	0.0838398
"movie theater"	0.0832851
deli	0.0823477
"toy store"	0.0819224
discotheque	0.0817243
disco	0.0815176
teahouse	0.0811146
bookshop	0.0799364
"hardware store"	0.079851
saloon	0.0791572
"grocery store"	0.0789249
"gas station"	0.0751695
diner	0.0735703
"gift shop"	0.0725041
drugstore	0.0725004
Steakhouse	0.072337
lounge	0.0717052
"beauty salon"	0.0712131
"watering hole"	0.0706495
pizzeria	0.0705461
nightspots	0.0703847
Brasserie	0.0702959
"shopping mall"	0.0701661
"beauty shop"	0.0700728
"discount store"	0.069431
"shoe store"	0.0683662
"jewelry store"	0.0674829
"butcher shop"	0.06674
ballroom	0.0663933
motel	0.066083
"specialty store"	0.0660415
Starbucks	0.0659904
"computer store"	0.0659419
"movie house"	0.0647102
gym	0.0646257
"general store"	0.0635516
"retail store"	0.0631081
Marina	0.0622744
barbershop	0.0622384
"community center"	0.0622025
salon	0.062143
honky-tonk	0.0613566
nightlife	0.0612557
"service station"	0.0611875
brothel	0.0609155
cafeteria	0.0599875
Pharmacy	0.059781
"beauty parlor"	0.0596073
"shopping center"	0.0593852
"amusement park"	0.0587285
supermarket	0.0581892
arcade	0.0577874
cabaret	0.0574038
"repair shop"	0.0571315
speakeasy	0.0569874
SPA	0.0568622
loft	0.0558062
"entertainment center"	0.0554549
"botanical garden"	0.0550504
"game room"	0.0547488
kiosk	0.0544836
"trading post"	0.0544695
"gambling casino"	0.0544091
"funeral home"	0.0542816
"concert hall"	0.0534777
"conference center"	0.0532961
"office building"	0.0532352
emporium	0.0522819
inn	0.052262
confessional	0.0522133
"travel agency"	0.0520029
Supercenters	0.051848
"truck stop"	0.0515433
cinema	0.0514274
Bathhouse	0.0513686
dacha	0.0513324
auditorium	0.0507683
"dining room"	0.0507375
"candy store"	0.0507068
"post office"	0.0504638
grocery	0.0500927
"conference room"	0.049699
Walgreens	0.0494954
brownstone	0.0492303
"bus station"	0.047943
anything-goes	0.0479171
"dry cleaner"	0.0478948
dining	0.0478822
"abortion clinic"	0.0478268
hangout	0.047381
pawnshop	0.0468548
"ticket office"	0.0465571
"department store"	0.0463276
tearoom	0.0460105
caterer	0.0459456
"flea market"	0.0455132
showroom	0.0454087
"planning board"	0.0453337
grocer	0.045331
nightspot	0.0452396
"machine shop"	0.045233
"train station"	0.0450141
"theme park"	0.0449214
"opera house"	0.0447607
spas	0.0442722
"dinner party"	0.0434905
"chain store"	0.0434434
Appalachian	0.0433962
barroom	0.0433465
"exhibition hall"	0.0433195
multiplex	0.0432206
"traffic circle"	0.0430452
Hyatt	0.0429802
"Rainbow Room"	0.0428876
Safeway	0.0428035
plaza	0.0427578
bed-and-breakfasts	0.0427389
gymnasiums	0.0424668
"swimming pool"	0.0424564
"Planet Hollywood"	0.042379
newsstand	0.0423279
condominium	0.0421521
"waiting area"	0.0421178
Yiddish	0.0420842
"fire station"	0.0419493
"polling place"	0.0419083
winery	0.0417688
"street corner"	0.0416866
"day camp"	0.0414197
canteen	0.0412944
"music hall"	0.0412258
"civic center"	0.0411361
"restaurant chain"	0.0411245
condo	0.0409622
"child welfare agency"	0.0408921
"Holiday Inn"	0.0408183
"consulting company"	0.0407815
down-and-out	0.0406809
Jacuzzi	0.0406062
"country club"	0.0405873
dealerships	0.0405788
bordello	0.0403518
junkyard	0.0402209
MCDONALD's	0.0401622
YMCA	0.040014
))
(coffer (desc 21570.8) (sims
treasury	0.163808
"trust fund"	0.150378
"war chest"	0.122163
"bank account"	0.118637
fund	0.105331
"pension fund"	0.103314
budget	0.097631
"retirement account"	0.0955074
exchequer	0.0901527
account	0.0839867
pocket	0.0810325
reserve	0.0786911
endowment	0.0749258
revenue	0.0735144
"reserve fund"	0.0714483
"banking system"	0.0707631
reservoir	0.0705268
surplus	0.0680841
finances	0.0678152
wallet	0.0653532
"tax revenue"	0.0650022
"social security"	0.0649766
"balance sheet"	0.0642958
"savings account"	0.0636763
PACs	0.0632296
pool	0.0624296
"political campaign"	0.0619295
kitty	0.0617467
"order book"	0.0617051
inventory	0.0616212
debt	0.0616149
saving	0.0610984
"bottom line"	0.060708
"tax base"	0.0603156
"tax collection"	0.0596447
"work force"	0.0594613
"Strategic Petroleum Reserve"	0.0587976
"food stock"	0.0585006
taxpayer	0.0582458
funding	0.0575294
largess	0.0574221
asset	0.0568624
"political action committee"	0.0568115
mailbox	0.0567376
pension	0.0562757
"mutual fund"	0.0559339
"public school"	0.055915
spending	0.0557017
financing	0.055429
"checking account"	0.0549436
purse	0.0547217
charity	0.0540496
stockpile	0.0534325
cupboard	0.05326
payroll	0.0526885
"gas tank"	0.0523191
"stock market"	0.0520355
"budget deficit"	0.051928
"senate campaign"	0.0517395
subsidy	0.051601
pocketbook	0.0514418
foundations	0.0513152
"equity fund"	0.051294
expenditure	0.0507478
"retirement plan"	0.0507375
resource	0.050671
infrastructure	0.0506351
"U.S. Treasury"	0.0505915
income	0.0505462
medicare	0.0501603
armory	0.0499329
Bin	0.0498405
foundation	0.0495868
portfolio	0.049522
"water system"	0.049482
earnings	0.0492939
profitability	0.0491023
aquifer	0.0490489
outlay	0.0488154
pantry	0.0487746
"bond issue"	0.048486
"securities market"	0.0483247
"school system"	0.0482521
bailout	0.0474386
expense	0.0473362
drawer	0.0472232
Warehouse	0.0470966
"Republican Party"	0.0469194
donation	0.0468465
bureaucracy	0.0467607
"Democratic Party"	0.0464102
landfill	0.0461944
salary	0.0461106
"education program"	0.0460716
proceeds	0.0459718
equity	0.0459538
"water supply"	0.0459044
tank	0.0458972
"income tax"	0.045741
"Democratic National Committee"	0.0457089
treasurer	0.0455304
"defense budget"	0.0453772
vault	0.0453572
"sales tax"	0.0451793
PAC	0.0449609
shelf	0.0449249
"federal government"	0.0448234
"labor market"	0.0446271
"power structure"	0.0445337
morale	0.0445123
appropriation	0.0441173
donor	0.0440754
lottery	0.0440308
"savings bank"	0.0439714
roster	0.0439365
"insurance company"	0.0438463
GDP	0.0435418
holding	0.0434988
"legal fee"	0.0434255
startup	0.0434209
"operating budget"	0.0433634
Fortune	0.0433199
Everglades	0.043224
workforce	0.0430363
wealth	0.0428296
"local government"	0.0426753
pot	0.0426557
"tax incentive"	0.0426102
IRA	0.0422945
bullpen	0.0421987
"property tax"	0.041932
"debt payment"	0.0419168
"garbage can"	0.0418916
borrower	0.0417878
backing	0.0414601
"tax system"	0.0412847
agenda	0.0410613
escrow	0.0410595
deficit	0.0409823
renovation	0.0408282
closet	0.0407318
agriculture	0.0406053
jurisdiction	0.0404653
"personnel department"	0.0403519
))
(cofferdam (desc 2785.32) (sims
dike	0.140192
"Gorges Dam"	0.133367
dam	0.125713
"Erie Canal"	0.122031
berm	0.0994608
dyke	0.0986414
"water project"	0.0903983
embankment	0.0899848
wharf	0.0881603
levee	0.0873933
"ring road"	0.0869398
"Belmont Learning Center"	0.0836957
"Gorges Project"	0.0832565
taxiway	0.0819059
reservoir	0.080337
expressway	0.0800455
"oil pipeline"	0.0796922
"Pudong International Airport"	0.0770914
fortification	0.0768717
bulkhead	0.0763199
waterworks	0.0743579
"access road"	0.0742406
"power station"	0.0739356
seawall	0.0732248
culvert	0.0728483
megaplexes	0.0687697
sarcophagus	0.0687355
granary	0.0677998
"highway system"	0.0672206
Xiaolangdi	0.0655548
"Berlin Wall"	0.0654784
Igloo	0.0650758
"nuclear reactor"	0.0645857
"pumping station"	0.0642721
scaffold	0.0641428
"power grid"	0.0634203
incinerator	0.0633784
heliport	0.063053
"flood control"	0.063039
walkway	0.0623793
conservancy	0.0616374
viaduct	0.0609766
"Panama Canal"	0.060365
gorge	0.0598785
"piece of cloth"	0.0598278
"Beijing-Kowloon Railway"	0.0592977
jetty	0.0591682
dwelling	0.0587646
"power unit"	0.0579267
substation	0.0578825
"Lake Erie"	0.0578732
"railway line"	0.0574279
"trunk line"	0.0572923
smelter	0.0572392
"National Intelligence Service"	0.0571241
cistern	0.0570923
harbour	0.056889
collider	0.0565595
barricade	0.0564406
edifice	0.0558075
"International Space Station"	0.0557403
"transmission line"	0.0556043
"house of cards"	0.055484
pylon	0.0548524
"oil rig"	0.0544887
"Mekong River"	0.0540322
superstructure	0.0536307
hovercraft	0.0534839
hut	0.053396
"rail line"	0.053318
LNG	0.0532019
pontoon	0.0530042
overpass	0.0529663
flyover	0.0526877
"telephone network"	0.0522871
"Miller Park"	0.0520853
encampment	0.0520579
hydropower	0.0519053
watchtower	0.0517759
reactor	0.0517375
Stairway	0.0517011
Fort	0.0511901
latrine	0.0510565
fortress	0.0508759
"three schools"	0.0508269
hydro	0.0503165
"fire wall"	0.0502463
passageway	0.0501847
Cairn	0.0500712
"water tank"	0.0500294
reclamation	0.0499683
crusher	0.0498576
seaport	0.0498314
footbridge	0.049783
"apartment house"	0.0495256
kiln	0.0491782
louver	0.0491008
"railroad line"	0.0489287
"oil refinery"	0.048904
"Dongting Lake"	0.0487331
"production line"	0.0487325
weir	0.0487009
"railway system"	0.0476292
"school of thought"	0.0476022
"resort hotel"	0.0473824
pier	0.0470758
"Har Homa"	0.0470088
"Suez Canal"	0.046897
"water plant"	0.0467619
moat	0.0466504
skyscraper	0.0465369
"industrial park"	0.0463505
"Macao International Airport"	0.0462227
"railroad track"	0.0459547
reef	0.045952
"wind power"	0.0454722
bleachers	0.0454237
terrace	0.0454218
firewall	0.0453459
"defense system"	0.0451366
"iron curtain"	0.0451349
"radio telescope"	0.0450595
silo	0.0448706
pagoda	0.0447301
NMD	0.0446247
infirmary	0.0446218
hotspots	0.0444108
chimney	0.0444005
freeway	0.0443046
"Terminal @"	0.0442668
slab	0.0442163
"suspension bridge"	0.0439827
"football stadium"	0.0438269
"observation post"	0.043768
patio	0.0437506
"space vehicle"	0.0436844
"Joint Strike Fighter"	0.0432955
"exhibition hall"	0.0431738
watershed	0.0431238
desalination	0.0430715
turbogenerator	0.0430287
enclosure	0.0428297
"first unit"	0.0424482
archway	0.0424244
"water tower"	0.0423332
taskbar	0.0422642
"mobile home"	0.0419493
drugmakers	0.0416708
planetarium	0.0416498
colonias	0.0416247
floodgate	0.0416039
"welfare state"	0.0416014
riverbed	0.041511
Obelisk	0.0414577
"Unit @"	0.0412228
"blast furnace"	0.0412199
grotto	0.0411258
"Arctic Ocean"	0.0410842
nothingness	0.0410211
node	0.0410137
"jigsaw puzzle"	0.0409471
"English Channel"	0.0408705
"water line"	0.0407243
piling	0.0407203
nave	0.0407071
Canopy	0.0406753
"Bay Bridge"	0.0406718
petrochemical	0.0406717
"house of worship"	0.0405506
"shower stall"	0.0404631
p@@	0.0404423
motorway	0.0404393
"atomic bomb"	0.0404133
"soil conservation"	0.0404126
high-rise	0.0404084
cavern	0.0403685
"drainage system"	0.0403055
"trade barrier"	0.0402999
Picassos	0.0402972
"Millennium Dome"	0.0402311
underpass	0.0401611
pedestal	0.0401443
"patrol boat"	0.0401284
arbor	0.0401087
B-@s	0.0400614
easements	0.0400601
))
(Coffey (desc 1356.57) (sims
Summitt	0.117481
Fiorina	0.107746
Sherrill	0.103581
Okada	0.10141
Dunleavy	0.100243
Monson	0.0993931
Geiger	0.0992951
Hauser	0.0985283
Najera	0.0978282
Flanagan	0.0972587
Schmid	0.096494
Zucker	0.0954705
Clements	0.0953388
Lowery	0.0948817
Ruehe	0.0945422
Sheehan	0.094328
Plante	0.0930428
Jeffers	0.0926716
Laperriere	0.0918856
Tevanian	0.0904279
Marineau	0.0902978
Rabe	0.0897534
Herta	0.0893796
Cianci	0.0890476
Goldin	0.088752
Herron	0.0884035
Hartsburg	0.0876745
Goossen	0.0875958
McDonnell	0.0874941
Rubenstein	0.0868055
Laudrup	0.0865544
Langham	0.0858524
Gillick	0.085841
Begala	0.0854477
Whipple	0.0851035
Tuberville	0.08508
Marinovich	0.084541
Padilla	0.083462
Cline	0.0833747
Solis	0.083359
Rossotti	0.0832745
Heinrichs	0.0832625
Norstrom	0.0832494
Ponciano	0.0829761
Yarnall	0.0825226
Haskins	0.0824527
Braswell	0.0823617
Finney	0.0821132
Sassa	0.0820749
"La Russa"	0.0819773
Cota	0.0813944
Ftorek	0.0811608
McInnis	0.0810308
Fleischer	0.0809851
Piot	0.080842
Leetch	0.0806387
Bonner	0.0805992
Echols	0.0805519
Harkes	0.0804569
Rothenberg	0.0802893
LaPierre	0.0799409
Allchin	0.0799003
Munson	0.0797994
Alford	0.0794512
Messier	0.0793476
Fedorov	0.0789836
Sorensen	0.0788257
Reimer	0.0787734
Franchione	0.0783576
Reiner	0.0783283
Babcock	0.0778538
Prewitt	0.077747
Manley	0.0777026
Rongen	0.0775508
Finkel	0.0775
Hecht	0.0774434
Kessler	0.077214
Hiddink	0.077057
Donohue	0.0768266
Barksdale	0.0768257
Kaye	0.0762716
Kumar	0.0762646
DeBerg	0.0761905
Lafleur	0.076136
Rashid	0.0759252
Passarella	0.0754469
Szczerbiak	0.0753253
Burleigh	0.0752306
Devine	0.0750511
Beazley	0.0750233
Hybl	0.0749542
Lacroix	0.0747685
Allard	0.074726
Andreessen	0.0747151
Farber	0.074357
Bustamante	0.074326
Soares	0.0743148
Shipley	0.0742984
Aventajado	0.0742675
McCurry	0.0742122
Baerga	0.0740391
Valenti	0.073989
Molinari	0.0739873
Engel	0.0739335
Jovanovic	0.073826
Howe	0.0737831
Autry	0.0737782
Wolfson	0.0736701
Keenan	0.073572
Schultz	0.0735582
beamer	0.0734528
Muoneke	0.0734396
Schuerholz	0.0734304
Azinger	0.0733138
Schmitt	0.0732039
Advani	0.0731183
"John Vanbiesbrouck"	0.0730914
Barrie	0.0730914
Lambert	0.0729922
Kohler	0.0729515
Layden	0.0728388
Schrempp	0.0727557
McCown	0.0727464
Greenwald	0.0727408
Hersh	0.0727128
Chao	0.072582
Lowry	0.0725183
Pruett	0.0725155
Milbury	0.0724991
Hightower	0.0724638
Calcavecchia	0.0723899
Newcombe	0.0722719
Patel	0.0722678
Berra	0.0719857
Krasniqi	0.0718375
Hirst	0.0717802
Paxon	0.0717537
Waxman	0.0712746
Brundtland	0.071259
Isner	0.0712464
Bullard	0.0712178
Grasso	0.0712121
Caddell	0.0711856
Beckwith	0.0709459
Fulmer	0.0707428
Cowan	0.0707369
Singson	0.0706818
Monahan	0.070604
Rosenblatt	0.070556
Gormley	0.0705201
Traylor	0.0704629
McKnight	0.0703791
Hamill	0.0703785
Guthridge	0.0703506
Tsai	0.070053
Mustafa	0.0697806
DERSHOWITZ	0.0696874
Erving	0.069465
Rosenthal	0.0694631
Jobe	0.0694282
Andreychuk	0.0694192
Regan	0.069353
Gullikson	0.0693291
Conroy	0.0693177
Ferguson	0.0692369
Ackerman	0.0691936
Ainge	0.0691895
"Bora Milutinovic"	0.069184
Slocum	0.0691592
Snipes	0.0691437
Verney	0.069105
Guerra	0.0690933
Rivlin	0.0690791
frist	0.0690053
Schiller	0.0689148
Milutinovic	0.0689064
Ebersol	0.0687354
Koskinen	0.0686492
Leyland	0.0685303
bock	0.068433
McIlvaine	0.0683646
Mandella	0.0682662
Podesta	0.068235
Henning	0.068228
Atkinson	0.068172
Holley	0.067886
Daft	0.067847
Whitsitt	0.0678234
Kyprianou	0.06773
Fieger	0.0676787
Whitacre	0.0676563
Remlinger	0.0676275
Stillman	0.0676238
Chadwick	0.067582
White-McCarty	0.0674925
DuBose	0.0674001
Betts	0.0673927
Morgenthau	0.0673814
Redstone	0.0673612
Robson	0.0673271
))
(coffin (desc 34188.1) (sims
Casket	0.25899
tomb	0.106208
Grave	0.10499
urn	0.0888924
box	0.0859606
headstone	0.0858692
statue	0.0856971
container	0.0839034
jar	0.0829804
funeral	0.0792866
pot	0.0770161
"body bag"	0.0766492
Crypt	0.0762886
body	0.076097
skeleton	0.0760678
hearse	0.0756997
bag	0.0744879
vase	0.0720393
desk	0.0718714
suitcase	0.0711618
chair	0.0711189
tombstone	0.0708989
remains	0.0707506
wreath	0.070364
altar	0.0703254
corpse	0.0695891
"dead body"	0.0693986
sarcophagus	0.0692194
bed	0.0689147
table	0.0683969
sculpture	0.0679051
crate	0.0669896
tray	0.0669153
gravestone	0.0662479
crosse	0.0639578
sheet	0.0633093
plaque	0.0633081
wall	0.0628642
cage	0.062691
burial	0.0624249
candle	0.0618267
frame	0.0618155
cemetery	0.0615448
banner	0.0613234
shoe	0.06128
monument	0.0609741
paneling	0.060907
bottle	0.0608188
flag	0.0607842
plate	0.0605184
"time capsule"	0.060375
"paper bag"	0.0603264
cylinder	0.0603077
bookcase	0.0602477
piece	0.0601957
kiln	0.059367
furniture	0.0591233
stone	0.0588828
envelope	0.058776
drum	0.0587752
casing	0.058604
portrait	0.0585866
shroud	0.0585047
brick	0.058428
skull	0.0583848
tent	0.0579895
object	0.0574762
cloth	0.0572701
capsule	0.0572438
marker	0.0572257
bedroom	0.0570389
pit	0.0568204
drawer	0.0566985
artifact	0.0561988
trunk	0.0561861
chest	0.0561777
hut	0.0561452
tank	0.0560458
bucket	0.0559796
boat	0.0557917
chapel	0.0557888
staircase	0.0557229
locker	0.055653
flooring	0.0554381
"garbage can"	0.0554323
figurine	0.055395
mausoleum	0.0553487
pyramid	0.0553395
van	0.055216
pallet	0.0551379
tree	0.0549756
"teddy bear"	0.0549416
pile	0.0547239
briefcase	0.0546669
refrigerator	0.0543983
compartment	0.0543618
pedestal	0.0543089
"trash can"	0.0541457
floor	0.054018
bowls	0.0537957
ruin	0.0537613
"file cabinet"	0.0536117
shack	0.0534615
bowl	0.0532321
carton	0.0531937
truck	0.0531526
slab	0.0530431
carving	0.0529683
Shell	0.0528773
glass	0.0528038
flower	0.0525922
towel	0.0524673
cot	0.0523499
trailer	0.0523317
cave	0.0522588
"shopping bag"	0.052252
torch	0.0522263
wheelchair	0.052204
lamp	0.0521622
mattress	0.0521198
corps	0.0519714
graveyard	0.0517734
tablet	0.0517315
tile	0.0517024
"sheet of paper"	0.0516574
door	0.0513888
ware	0.0513589
painting	0.0512861
rack	0.051274
wallet	0.0512053
luggage	0.0510873
Coin	0.0510797
"national flag"	0.0510158
vessel	0.0509798
lantern	0.0506411
pipe	0.0506287
jewelry	0.0506239
Ambulance	0.0505442
square	0.050506
"cargo container"	0.0503793
jeep	0.0501484
procession	0.0500732
plastic	0.0500317
gate	0.0498491
tube	0.0497714
placard	0.0496799
blanket	0.0494404
bone	0.0494057
"shopping cart"	0.049381
pan	0.0493333
vehicle	0.0493233
vial	0.0492372
shutter	0.0489402
barricade	0.0489142
pouch	0.0489038
window	0.0488563
ash	0.0488109
vault	0.0488018
memorial	0.0486609
ingot	0.0486277
Tower	0.0486239
booth	0.0485154
log	0.0484866
armchair	0.0484802
uniform	0.0483946
dragon	0.0483662
cart	0.0482824
barrel	0.0481811
photograph	0.0481728
cake	0.0481605
"piece of paper"	0.0480073
Clothing	0.0479838
basket	0.0479548
stool	0.0479142
cubicle	0.0478548
backpack	0.0477959
carriage	0.0477011
ornament	0.0475736
limousine	0.0475443
grotto	0.0474674
tractor	0.0474342
folder	0.0473645
closet	0.0473544
"duffel bag"	0.0473003
packet	0.0471192
mask	0.0470927
crucifix	0.0470433
"wedding cake"	0.0469602
Obelisk	0.0469544
plank	0.0469069
"dining table"	0.0468861
crib	0.0468314
canister	0.0467236
robe	0.0466872
morgue	0.0465171
deck	0.0464895
cooler	0.0464589
item	0.0463277
mirror	0.0462409
podium	0.046227
))
(Cofidis (desc 2178.48) (sims
Polti	0.285565
Mapei	0.256324
Banesto	0.216981
Festina	0.206591
TVM	0.205926
Telekom	0.169069
"Mercatone Uno"	0.148249
"U.S. Postal Service"	0.130996
Jeux	0.122227
Gan	0.121034
Jalabert	0.0999002
"Laurent Jalabert"	0.0911981
"Roush Racing"	0.0863144
"Stuart O'Grady"	0.0854212
Lotto	0.0775306
"Richard Virenque"	0.0734821
"Disabilities Act"	0.0665612
Forsythe	0.0649296
"Hendrick Motorsports"	0.0633115
Virenque	0.0632792
Aprilia	0.0624003
Ducati	0.0622983
"Credit Agricole"	0.0596306
"Super Eagles"	0.059453
"Francesco Casagrande"	0.0590475
"Johan Museeuw"	0.0585475
"Fighting Irish"	0.0571447
dressage	0.0570292
McLaren-Mercedes	0.0567979
"Big Red Machine"	0.056173
"Solheim Cup"	0.0553713
"Horned Frogs"	0.0550864
"Didier Auriol"	0.0549827
Roush	0.0542473
epee	0.0538934
Peugeot	0.0536885
Ganassi	0.0534151
McLaren	0.0518793
"Laurent Brochard"	0.0518296
Ferrari	0.0515602
"Alex Zulle"	0.05123
"Deutsche Telekom"	0.0510188
Mitsubishi	0.0507026
"Vivendi SA"	0.0504395
"Arena Football League"	0.0503084
Zuelle	0.0503075
poly	0.0494962
Flamengo	0.0489002
varsity	0.0485239
"Appalachian State"	0.0480327
"Subaru Impreza"	0.0476325
Gendarme	0.0474417
Barnsley	0.0472904
Menard	0.0471829
"World Vision"	0.0471079
SNCF	0.0466576
"Cincinnati Reds"	0.0463817
Mayer	0.0462166
"Bafana Bafana"	0.0460811
Iona	0.0458854
"blue angel"	0.0455839
Pennzoil	0.045427
"Olympique Marseille"	0.0452095
Subaru	0.0451615
"Chicago Blackhawks"	0.0445893
Zabel	0.0445671
B-@s	0.0442174
"USA Basketball"	0.0442078
"Laurent Dufaux"	0.0441833
crewmembers	0.0440332
"Chinese Army"	0.0437403
"Busch Grand National"	0.0435596
Meier	0.0432494
self-destructed	0.04279
"D.C. United"	0.0425091
"Michel Platini"	0.0422456
Elf-Aquitaine	0.0421142
"Marco Pantani"	0.0420601
"Miguel Indurain"	0.041898
"Real Sociedad"	0.041648
"Seattle Seahawks"	0.0411292
"Milwaukee Brewers"	0.0409567
"Lance Armstrong"	0.0408274
"Velez Sarsfield"	0.0407652
"Frank Jobe"	0.0406548
"Joe Gibbs"	0.0405197
CMAG	0.0405121
"Red Star"	0.040423
Olano	0.0404108
"Tampa Bay Devil Rays"	0.0403501
"San Diego Chargers"	0.0402577
Italia	0.0400343
))
(cofounder (desc 26646) (sims
founder	0.20937
"chief executive"	0.11297
"chief financial officer"	0.0999987
"chief executive officer"	0.0963963
CEO	0.0962682
"chief operating officer"	0.0917709
"board member"	0.0831131
chairman	0.0826921
"Paul Allen"	0.0796402
co-owner	0.0785707
"Larry Ellison"	0.0779481
executive	0.075969
"top executive"	0.0751773
"Bill Gates"	0.0722293
"senior vice president"	0.0713172
"chairman of the board"	0.0713131
"Steve Ballmer"	0.0711332
billionaire	0.0693456
"managing director"	0.0692841
"executive vice president"	0.0666934
"general counsel"	0.0663772
editor-in-chief	0.0643942
"Steve Jobs"	0.0641521
editor	0.0616592
CFO	0.0612194
"financial officer"	0.0610276
"Warren Buffett"	0.0603517
"executive director"	0.0600952
coauthor	0.0597285
"Michael Dell"	0.0594358
co-director	0.0584125
"vice president"	0.0581324
"Gerald Levin"	0.0568446
"art director"	0.0566598
chairwoman	0.055615
co-chairmen	0.0550536
"venture capitalist"	0.0550142
"general manager"	0.0548743
trustee	0.0548185
"Jim Clark"	0.0547806
chairmen	0.0542435
Programmer	0.0533121
co-chairman	0.0530524
"vice chairman"	0.0529596
part-owner	0.0527726
"Steve Case"	0.0517364
treasurer	0.0514239
publisher	0.0514193
"board of directors"	0.0505327
"chief scientist"	0.0499386
developer	0.04991
"managing editor"	0.049089
co-president	0.0489192
"investment banker"	0.0484575
proprietor	0.0481869
entrepreneur	0.0479761
shareholder	0.0479173
mogul	0.0476043
consultant	0.0475998
architect	0.0472684
designer	0.0472374
"information officer"	0.0471501
"sales manager"	0.0471447
stockholder	0.0469437
professor	0.0466936
businessman	0.0463269
impresario	0.04621
financier	0.0459601
creator	0.0458432
archivist	0.0454368
evangelist	0.0454317
philanthropist	0.0444796
strategist	0.0442081
violinist	0.0440628
columnist	0.0440404
lecturer	0.0439791
arranger	0.043931
visionary	0.0438168
administrator	0.0434007
educator	0.0432605
Councilman	0.0431461
"software engineer"	0.0426537
Bos	0.042491
inventor	0.0422281
"senior executive"	0.0422027
Lieutenant	0.0418793
"test pilot"	0.0415411
"Ted Turner"	0.0414674
"investment officer"	0.0414519
"newspaper editor"	0.0413576
"newspaper publisher"	0.0410656
co	0.0410462
guru	0.0410441
auditor	0.0408857
Gates	0.0407632
"real estate developer"	0.0405691
"school principal"	0.0405052
academician	0.0403506
historian	0.0403368
commissioner	0.0401421
))
(cog (desc 5671.66) (sims
"role player"	0.0881345
"break of serve"	0.0709514
"building block"	0.0691897
"driving force"	0.0665071
determinant	0.0659308
breadwinner	0.0656488
"component part"	0.065185
"determining factor"	0.0648732
acquirer	0.0645131
guarantor	0.0643891
"drawing card"	0.0643454
gung-ho	0.0630354
entrepot	0.0629215
"test case"	0.061695
instrumental	0.060774
"punching bag"	0.0605565
cornerstone	0.0597015
"supply route"	0.0591212
"stumbling block"	0.0588639
linchpin	0.0584537
catalyst	0.0583994
foothold	0.0583131
blip	0.0581645
hiccup	0.0575391
interlocutor	0.0573017
"safety valve"	0.057236
"white elephant"	0.0566212
"major leaguer"	0.0564084
"measuring stick"	0.0561624
conduit	0.0559275
hyphen	0.0559023
neurotransmitter	0.0558761
"focal point"	0.0550043
"agenda item"	0.054969
first-rounder	0.0549594
"stepping stone"	0.0546167
workhorse	0.0545876
bulwark	0.0542438
lever	0.0540984
motivator	0.0540814
figurehead	0.0539515
"reference point"	0.0539415
"turning point"	0.0534212
barometer	0.0530058
reminded	0.0529512
"sea lane"	0.0524615
playmakers	0.0522362
"data file"	0.0520386
battleground	0.0517318
heretic	0.0515242
complicit	0.0514355
"ownership stake"	0.0512259
toehold	0.0511963
"nerve center"	0.0507136
"base runner"	0.0505456
"prime mover"	0.0504684
counterweight	0.0503839
"good person"	0.0502984
Nuisance	0.0502201
"bargaining chip"	0.0498752
bottleneck	0.0498335
underachiever	0.0497266
aberration	0.0497224
"center of attention"	0.0496831
goal-scorer	0.0496799
"sounding board"	0.0495282
"weak point"	0.0495214
punchline	0.0494175
kingmaker	0.049268
mainstay	0.0490523
variable	0.0489969
"power broker"	0.0489289
"pain in the neck"	0.0487883
"big spender"	0.048652
pillar	0.0485983
adopters	0.0485372
savior	0.0484519
endorser	0.0483542
shortcoming	0.0483504
"chairman emeritus"	0.0483146
granary	0.0481831
"world power"	0.0481553
"line of defense"	0.0479896
thorn	0.0479717
proactive	0.0478114
cipher	0.0477891
troubleshooter	0.0477234
"risk taker"	0.047718
quickest	0.0476906
coolant	0.0476699
"cash cow"	0.0475358
obstructionist	0.0473987
chink	0.0473791
wont	0.0472775
"popularity contest"	0.0472744
absentee	0.0472361
"young person"	0.0470328
laggard	0.0468184
crapshoot	0.0467881
predictor	0.0467731
"electric motor"	0.0467496
steppingstone	0.0467495
sideshow	0.046672
shooter	0.046469
turncoat	0.0464006
"important person"	0.0463994
picky	0.0463515
passer	0.0460555
peacemaker	0.0460434
agnostic	0.0459951
beneficiary	0.0459869
impediment	0.045939
"foot soldier"	0.0459119
bellwether	0.045888
non-issue	0.0453424
"decision maker"	0.0453011
communicator	0.0452095
pitchman	0.0451781
backbone	0.0451253
pariah	0.0450998
"stage manager"	0.0449708
"warning signal"	0.0449098
oddity	0.0448708
achiever	0.0448592
"three schools"	0.0448538
"strong force"	0.0447528
blocker	0.0446748
interloper	0.0446739
hindrance	0.0446574
"service break"	0.0444414
"supply line"	0.0444404
benefactor	0.0442488
pawn	0.0442427
"trump card"	0.044094
Kurd	0.0440439
node	0.043948
arbiter	0.0438878
goaltenders	0.0438458
conspirator	0.0437144
beachhead	0.0436946
stinker	0.043665
immortal	0.0436442
stuntman	0.0436303
"role model"	0.0435744
vote-getters	0.0435189
"lame duck"	0.0434023
chameleon	0.0433413
"whipping boy"	0.043248
insulator	0.0430983
personification	0.0430299
"big leaguer"	0.0428815
repository	0.0428489
"reference work"	0.0428288
has-been	0.0427823
stakeholder	0.0426854
earner	0.0426463
irritant	0.0424311
"dark horse"	0.0424077
reactionary	0.0423996
"second person"	0.0423438
culprit	0.042337
"foreign service officer"	0.0419886
gadfly	0.0419808
punter	0.0419615
outcast	0.0418185
perjurer	0.0417712
"leading indicator"	0.0417526
wimp	0.0417166
"waste of time"	0.0417082
milestone	0.0416
HIV-positive	0.0415785
stopper	0.0415649
"New Democrat"	0.0415522
"front man"	0.0415449
"guinea pig"	0.0415304
"minority shareholder"	0.0414505
guidepost	0.0414402
ploy	0.0414058
"trunk road"	0.0413337
Quad	0.0413054
player-coach	0.041286
prong	0.0412804
"battering ram"	0.0412619
dilettante	0.0412436
afterthought	0.0411823
"paying attention"	0.041181
switch-hitter	0.0411564
"smoke screen"	0.0411142
"first pitcher"	0.0410534
"right to privacy"	0.0410311
tackler	0.0408514
nonevent	0.040845
"key role"	0.0408092
yardstick	0.040793
marketer	0.0407723
untouchable	0.0407665
prerequisite	0.0405483
moneymaker	0.040503
freebie	0.0404971
paraplegic	0.0404908
))
(Cognac (desc 6810.23) (sims
vodka	0.221328
bourbon	0.21763
rum	0.213015
whisky	0.211105
gin	0.201074
whiskey	0.199891
brandy	0.194752
tequila	0.192955
"Grand Marnier"	0.176327
liqueur	0.175832
"white wine"	0.151206
champagne	0.150933
"red wine"	0.150275
scotch	0.14343
"sparkling wine"	0.142188
"orange juice"	0.141443
sherry	0.140307
"cranberry juice"	0.13781
"Dom Perignon"	0.136293
Calvados	0.130727
wine	0.12754
"lime juice"	0.126291
"maple syrup"	0.119341
"apple juice"	0.114265
"mineral water"	0.113011
Beer	0.112309
liquor	0.111988
cider	0.111016
Martini	0.110113
"soy sauce"	0.105244
"fruit juice"	0.104137
vinegar	0.103943
"whipping cream"	0.101264
"lemon juice"	0.1008
Chianti	0.0995377
"Diet Coke"	0.0986149
flavoring	0.0981455
Chardonnay	0.0978494
soda	0.0962737
cola	0.0961816
espresso	0.0957969
"lemon zest"	0.0954661
Riesling	0.0952931
merlot	0.0940067
"iced tea"	0.0915684
cocoa	0.091415
vanilla	0.0909136
"ginger ale"	0.0908621
ketchup	0.090261
"Worcestershire sauce"	0.0898
"corn syrup"	0.0888986
"pineapple juice"	0.0887479
bubbly	0.08817
Cigar	0.0875006
vermouth	0.0869469
mustard	0.0866262
"brown sugar"	0.0855516
Zinfandel	0.0852349
Cabernet	0.0847807
"wine vinegar"	0.0842046
"orange zest"	0.0841134
lemonade	0.0840845
honey	0.0831485
chocolate	0.0830137
"vanilla extract"	0.082712
"hot chocolate"	0.082167
buttermilk	0.0819177
"alcoholic beverage"	0.0808954
Burgundy	0.0808431
cacao	0.0806002
juice	0.0798679
absinthe	0.078641
canape	0.078344
cappuccino	0.0778509
"green tea"	0.0776954
molasses	0.0774715
"soda pop"	0.0767928
coffee	0.0765456
"Pinot noir"	0.0761907
"pepper sauce"	0.0752556
"olive oil"	0.0746555
"pine nut"	0.0736335
peppercorn	0.0735904
booze	0.0734401
"foie gras"	0.0727635
lattes	0.0726394
tarragon	0.0726003
cornstarch	0.0723963
"coconut milk"	0.0723887
nectar	0.0720851
tea	0.071681
grappa	0.071216
"curry powder"	0.0710171
sugar	0.0708088
milk	0.0704705
"tomato juice"	0.0699183
syrup	0.069445
Beaujolais	0.0693126
"sour cream"	0.0690899
"peanut oil"	0.0689633
yogurt	0.0688786
stout	0.0687634
"hot sauce"	0.0684447
"chili sauce"	0.0680727
Madeira	0.0679964
"beef broth"	0.0679739
"grapefruit juice"	0.0679407
"ice water"	0.067903
malt	0.0673507
beverage	0.0671004
"spring water"	0.0667694
"root beer"	0.0666921
caviar	0.0666585
Seltzer	0.0664535
spice	0.0660143
cheese	0.065864
"Cabernet Sauvignon"	0.0652624
alcohol	0.0637889
dill	0.0637291
"barbecue sauce"	0.0636743
tahini	0.0628167
"sesame oil"	0.0627819
coke	0.0623657
"Bordeaux wine"	0.0620582
"evaporated milk"	0.0613982
"tomato paste"	0.060846
"blue cheese"	0.0608405
"hoisin sauce"	0.0608244
"vegetable oil"	0.0607341
"California wine"	0.0606089
perfume	0.0604566
currant	0.0604195
cocktail	0.0602916
cream	0.0602186
croissant	0.0601694
butter	0.0599592
cumin	0.0598547
brie	0.0598012
Tabasco	0.0597967
shallot	0.0597731
paprika	0.0597182
mayonnaise	0.0597103
Guinness	0.0596985
ginger	0.0595788
"cider vinegar"	0.059368
"skim milk"	0.0591551
half-and-half	0.058578
aperitif	0.058384
"egg yolk"	0.0582462
breadcrumb	0.058098
seasoning	0.0580499
jelly	0.0577471
Budweiser	0.057477
"sesame seed"	0.0574743
"orange marmalade"	0.0573988
"Sauvignon blanc"	0.0573497
dessert	0.057288
"soft drink"	0.0572209
parsley	0.0571527
lager	0.0570018
Bordeaux	0.0569697
ale	0.0569363
allspice	0.0569047
truffle	0.0565724
"cottage cheese"	0.0565105
lard	0.0564857
thyme	0.0564685
cayenne	0.0563616
Evian	0.0563471
"tomato sauce"	0.056232
"dog food"	0.0562229
Margarita	0.0561496
sweetener	0.0560595
broth	0.0560144
"lemon peel"	0.0558642
"Mountain Dew"	0.0555394
"black tea"	0.0554329
Garlic	0.055261
"salad dressing"	0.0552546
"pumpkin seed"	0.0551628
cinnamon	0.0551052
shortening	0.0550307
hazelnut	0.0548665
"peanut butter"	0.0546832
"black olive"	0.0542815
apricot	0.0542633
"cup of tea"	0.0541082
"celery seed"	0.0540609
"almond extract"	0.0539008
"fennel seed"	0.0538317
raisin	0.0538289
"hot pepper"	0.0537912
shampoo	0.053771
"Tabasco sauce"	0.0536535
"milk chocolate"	0.0535234
"coriander seed"	0.0533217
"smoked salmon"	0.0529978
cilantro	0.0528725
horseradish	0.0528459
seafood	0.0528276
))
(cognoscenti (desc 1655.54) (sims
aficionados	0.086414
oddsmakers	0.0812177
handicappers	0.0776881
atelier	0.0726747
groupie	0.0690958
hotspots	0.0638445
Maven	0.0635095
"market watcher"	0.0626607
restorer	0.0624695
pundit	0.0615862
luminary	0.0606425
maestro	0.0592483
prognosticator	0.057689
neophyte	0.0558004
mag	0.0555173
"Linus Torvalds"	0.0546094
lingo	0.0543127
bigwig	0.0541726
handicapper	0.0540327
policymaker	0.053749
Villar	0.0536906
purist	0.0532628
"Dore Gold"	0.0522727
Baugh	0.0521651
snob	0.0520802
literati	0.050657
junkie	0.0501377
"George Will"	0.0499912
"New York Republicans"	0.049695
caprice	0.0490355
powwow	0.0490147
Esposito	0.0489915
Ecuadoreans	0.0487874
greats	0.0487323
stadia	0.0483664
Margolis	0.0483631
postmodernism	0.0480044
Biz	0.0467862
meccas	0.0463201
clinician	0.0458572
Futurist	0.0455789
wonk	0.0455369
honcho	0.0451206
fundraisers	0.044799
"Arianna Huffington"	0.0446741
townsfolk	0.0444682
parlance	0.0439222
gabfest	0.0438522
aficionado	0.0437907
"Darrell Green"	0.0436203
traditionalist	0.0435921
Nasrallah	0.0434994
holidaymaker	0.0434729
connoisseur	0.0433108
"Cokie Roberts"	0.0432816
kayaker	0.0432744
reseller	0.043013
Creationists	0.0430043
Modise	0.0429802
Taufik	0.0429526
picnicker	0.0428477
classicist	0.042671
Janssen	0.0420171
"British people"	0.0419482
pendulum	0.0417952
Brantley	0.0416768
techies	0.0416651
junky	0.0416051
innovator	0.0415222
Gutman	0.0415095
policymakers	0.0411894
"rat race"	0.0409718
Londoner	0.0408763
Minnesotan	0.0407507
remixes	0.0405567
Rudman	0.0404716
McEwan	0.0403914
teahouse	0.0403863
))
(cohabitation (desc 3653.78) (sims
"sexual activity"	0.0739758
monogamy	0.073762
promiscuity	0.0706008
celibacy	0.0663782
Emigration	0.0661727
adultery	0.0646257
"sexual intercourse"	0.0643535
intermarriage	0.0623141
disaffection	0.0601458
euthanasia	0.0601205
power-sharing	0.0597491
polygamy	0.0596228
recidivism	0.0580444
"sex act"	0.0571021
chastity	0.0568464
contacting	0.0565156
ordination	0.0559005
"personal relation"	0.0558852
"market correction"	0.0551387
consulations	0.055044
miscommunication	0.0550138
conciliation	0.0548344
"living arrangement"	0.0532098
estrangement	0.0531123
brinksmanship	0.0525065
destabilization	0.0520812
fatherhood	0.0520694
"birth control"	0.0514627
"proxy fight"	0.0509137
coexistence	0.0507755
"Jacques Chirac"	0.0499929
courtship	0.0498593
tete-a-tete	0.0497364
symbiosis	0.0491013
Cahoots	0.0486022
"love affair"	0.0481796
usurpation	0.0481514
antagonism	0.0472591
abstinence	0.047209
bedfellow	0.0466361
coupling	0.0465767
horse-trading	0.0464911
SIDS	0.0462008
incest	0.045811
calmness	0.0452108
"marital status"	0.0447845
parley	0.0447028
parenthood	0.04456
recuperation	0.0441842
smooch	0.0439932
armistice	0.0439731
abdication	0.0439439
circumcision	0.0438649
tradeoff	0.0437449
ignominy	0.0434678
feminism	0.0434336
"second tour"	0.0433241
overexposure	0.0430626
rollovers	0.0429199
foreplay	0.0428676
gestation	0.0428541
conflagration	0.0427062
disillusionment	0.0426391
relapse	0.0426149
"drug addiction"	0.042505
mixup	0.0424644
procreation	0.0424368
reconfiguration	0.0423289
"oral sex"	0.0420404
"health check"	0.0417546
cloning	0.0415197
rearing	0.041487
collegiality	0.0414638
tryst	0.0414292
colloquy	0.0412239
reallocation	0.0412175
absenteeism	0.0411538
apprenticeship	0.041025
handshake	0.0410096
Contraception	0.0406619
tampering	0.0405842
deflation	0.040561
seduction	0.0403746
rapprochement	0.0401907
duality	0.0401405
))
(Cohen (desc 27261.2) (sims
"William Cohen"	0.215622
Albright	0.206898
Annan	0.171239
Solana	0.16256
Ivanov	0.160713
Qian	0.160252
Blair	0.158527
Mandela	0.155311
Sergeyev	0.153974
Barshefsky	0.151521
Zhu	0.150756
Vedrine	0.146191
Jiang	0.146094
Rubin	0.144492
Chirac	0.144193
Moussa	0.143217
Talbott	0.142872
Arafat	0.142363
Berger	0.141787
Dini	0.140217
Ross	0.139338
Holbrooke	0.138051
Primakov	0.137671
Goh	0.134959
Kinkel	0.134352
Richardson	0.134103
Greenspan	0.134028
Kharrazi	0.133989
"secretary of state"	0.133559
Cem	0.133296
"Defense William Cohen"	0.133071
Aziz	0.132616
Komura	0.130896
Lott	0.130809
Hu	0.130396
Mubarak	0.129841
Lockhart	0.129664
Tung	0.129314
Estrada	0.129011
"William S. Cohen"	0.128343
Ikeda	0.128255
Yeltsin	0.127675
Chretien	0.127515
perry	0.12694
Schroeder	0.126485
Mahathir	0.125812
Clerides	0.123326
McCaffrey	0.123028
Daley	0.122559
"Javier Solana"	0.122483
Mbeki	0.12243
Velayati	0.122305
Clinton	0.121687
Fischer	0.121274
Li	0.12076
Nzo	0.120636
Vajpayee	0.120611
Alatas	0.120454
"William Perry"	0.120065
Putin	0.119917
Barak	0.119345
Pickering	0.118659
Siazon	0.118185
Hashimoto	0.118067
Tsang	0.117696
Qiao	0.116846
Ramos	0.116783
Reno	0.116653
Netanyahu	0.116132
Sharif	0.115827
Chuan	0.115695
Moi	0.11569
Wahid	0.115355
Axworthy	0.115347
Ecevit	0.11491
Wolfensohn	0.113888
Kuchma	0.113874
Babbitt	0.113686
Prodi	0.112802
McCurry	0.112768
Ogata	0.112755
Kim	0.11249
Mkapa	0.112385
Jayakumar	0.1122
Chernomyrdin	0.112144
Simitis	0.112054
Obuchi	0.111855
tang	0.11138
Pangalos	0.111232
"de Charette"	0.111139
Koo	0.111017
Zedillo	0.110508
"Janet Reno"	0.110498
"Tony Blair"	0.110346
Stoyanov	0.110331
"Kofi Annan"	0.110258
Peres	0.109796
Mordechai	0.108992
Mugabe	0.10856
Samaranch	0.108224
D'Alema	0.107261
Menem	0.107188
Rifkind	0.107022
Kennard	0.106835
Abubakar	0.106691
Wu	0.106529
Museveni	0.106518
Lieberman	0.106515
Abdullah	0.106388
Shi	0.106043
Demirel	0.105903
Hariri	0.105686
"Bill Richardson"	0.105685
Khai	0.105533
Chen	0.105477
Lahoud	0.105424
Mori	0.105384
Constantinescu	0.10516
Christopher	0.105154
Fu	0.105144
Weizman	0.104821
Camdessus	0.104801
Hastert	0.104777
Shareh	0.104716
Wang	0.10448
Rakhmonov	0.10397
Jospin	0.103352
Hyde	0.102604
"Chuan Leekpai"	0.102218
Ahern	0.101847
Ben-Ami	0.101738
Aznar	0.101737
Kohl	0.101709
Chiluba	0.101601
Boueiz	0.10153
Shelton	0.101375
Gaddafi	0.101346
"Lawrence Summers"	0.100962
Kok	0.100804
"Robert Rubin"	0.100606
Chung	0.100321
Giuliani	0.10025
Glickman	0.0999836
Ruehe	0.0997301
Jovanovic	0.0996563
Gujral	0.0991635
"John Paul"	0.0990167
Moratinos	0.0988184
Meles	0.0986764
Hasina	0.0985759
gore	0.0985504
Pastrana	0.0982944
Bush	0.098068
"Ehud Barak"	0.0980088
"George Robertson"	0.0979687
Zhang	0.0978677
Sharon	0.0975621
Downer	0.0972991
Safir	0.0972738
Robertson	0.0965842
Kasoulides	0.0965383
"Atal Bihari Vajpayee"	0.0965118
Klima	0.0964824
Advani	0.0963507
Nazarbayev	0.0962029
pope	0.0961634
Stepashin	0.0961503
Meissner	0.0957619
Kono	0.0955699
Surin	0.0955057
Daschle	0.0954614
"Yevgeny Primakov"	0.0949804
Nujoma	0.0948494
"Benjamin Netanyahu"	0.0948238
Ikimi	0.0947432
Mandelson	0.0947222
Cheney	0.0943636
"Dan Glickman"	0.0942804
Mitchell	0.094194
Ruff	0.0941705
"Hun Sen"	0.09399
Santer	0.0938777
Pataki	0.0937329
Luong	0.0936736
Gingrich	0.0936108
Lukashenko	0.0935425
Saleh	0.0934931
Assad	0.0934459
Friedman	0.0933272
Butler	0.0932422
al-Sharaa	0.0932093
Hybl	0.0930934
Kostov	0.0930309
Helms	0.092955
Gates	0.0929208
Tagliabue	0.092814
"Richard Butler"	0.092796
Zuma	0.0924525
Chissano	0.0924523
Scalfaro	0.0921706
))
(coherence (desc 5844.42) (sims
cohesion	0.129026
cohesiveness	0.122917
continuity	0.110078
clarity	0.107813
believability	0.105182
transparency	0.102452
consistency	0.0948618
universality	0.0946346
predictability	0.0926254
subtlety	0.0883093
uniformity	0.0876647
fairness	0.0867245
professionalism	0.0865336
credibility	0.0861394
self-discipline	0.0855979
vitality	0.0849414
heft	0.0810776
elegance	0.0798966
vigor	0.0791919
immediacy	0.0778391
liveliness	0.0777884
competitiveness	0.0771588
"economies of scale"	0.0771212
completeness	0.0765991
sharpness	0.0755352
accuracy	0.0749891
efficiency	0.074873
nuance	0.0747322
dynamism	0.0741709
tranquility	0.0741059
resonance	0.0733944
Openness	0.0728257
complementarity	0.0725535
gravitas	0.0721984
verisimilitude	0.071461
equilibrium	0.0714365
sophistication	0.0712976
resiliency	0.0711951
wholeness	0.0707734
unanimity	0.0707631
integrity	0.0707052
explosiveness	0.070435
orderliness	0.0703499
teamwork	0.070322
freshness	0.0702755
competence	0.0699248
breadth	0.0694537
reliability	0.0694346
self-confidence	0.0691691
lightness	0.0687835
dexterity	0.0679157
pizazz	0.0679002
decisiveness	0.0678595
interoperability	0.067423
decorum	0.0673291
durability	0.0672728
serenity	0.0672537
poignancy	0.0672273
self-awareness	0.0669196
precision	0.066673
coordination	0.0665531
intensity	0.0664214
flexibility	0.0663013
articulation	0.0659947
honesty	0.0655712
agility	0.0654645
effectiveness	0.0650175
richness	0.0649956
crispness	0.0649928
certainty	0.064977
relevance	0.0649155
liquidity	0.0644887
originality	0.0644094
cachet	0.0643543
alertness	0.0641507
legitimacy	0.06397
fluidity	0.0633468
interdependence	0.0632197
boldness	0.0631945
respectability	0.06315
maneuverability	0.0626869
normality	0.0626766
accountability	0.0625164
dignity	0.0624193
responsiveness	0.0622872
refinement	0.0622492
"sense of purpose"	0.0622022
self-reliance	0.0618812
firmness	0.0617676
proficiency	0.0614084
objectivity	0.0614049
thoughtfulness	0.0611863
sustainability	0.0609127
plausibility	0.0608712
timeliness	0.0605583
punctuality	0.0604302
unity	0.0601997
eloquence	0.0601648
theatricality	0.0600704
directness	0.0595461
intimacy	0.0593961
diversity	0.0591895
mobility	0.0591547
specificity	0.0591127
foresight	0.0588602
charisma	0.058728
urgency	0.0587241
rationality	0.0587222
Creativity	0.0583469
purity	0.0582903
brevity	0.0582656
playfulness	0.0581037
diversification	0.0576148
"standard of living"	0.0574393
stamina	0.0574185
solidarity	0.0573904
harmony	0.0572477
Panache	0.0572409
self-respect	0.0571207
commonality	0.0570068
"peace of mind"	0.0567432
tact	0.0563978
stature	0.0563587
simplicity	0.056199
aggressiveness	0.0558221
humility	0.0556844
symmetry	0.0556618
spontaneity	0.055546
complexity	0.0555198
harmonization	0.0554486
sanity	0.055443
reverence	0.0552372
luster	0.0552268
sensitivity	0.0551998
civility	0.0551774
viability	0.0550284
leverage	0.0549505
candor	0.0546328
realism	0.0544957
authenticity	0.0543757
adaptability	0.0543222
seriousness	0.0542343
toughness	0.0540957
self-control	0.0540295
rigor	0.054015
solidity	0.0539071
texture	0.0538572
truthfulness	0.0538566
sincerity	0.0536471
selflessness	0.053451
bleakness	0.0533286
portability	0.0529543
grandeur	0.0527748
shading	0.0527144
self-consciousness	0.052667
suspense	0.0525516
familiarity	0.0525132
impartiality	0.0523848
composure	0.0523502
profitability	0.0522797
dimension	0.0521939
resilience	0.0521804
primacy	0.0521654
togetherness	0.0520963
endurance	0.052073
buoyancy	0.0520637
elan	0.0518966
"personal relation"	0.0516685
statesmanship	0.0515838
succor	0.0514053
vibrancy	0.0513534
logic	0.0513407
assertiveness	0.0512568
oneness	0.0509132
firepower	0.0506941
preparedness	0.0506857
versatility	0.050582
velocity	0.0505289
accessibility	0.0501795
quickness	0.0501269
self-sufficiency	0.0501208
slickness	0.0500119
regularity	0.0499923
pragmatism	0.0497307
tenderness	0.0494983
brilliance	0.0494357
"staying power"	0.0493759
constancy	0.0491645
two-third	0.0490128
compatibility	0.0489893
attractiveness	0.0488578
enlightenment	0.0487277
acceptability	0.048469
convenience	0.0483781
athleticism	0.0483708
probity	0.0482316
acumen	0.0480153
cost-effectiveness	0.0478866
clout	0.0478777
dependability	0.0478556
))
(cohesion (desc 10294.5) (sims
cohesiveness	0.198331
unity	0.164835
solidarity	0.150173
coherence	0.129026
dynamism	0.121724
continuity	0.118201
competitiveness	0.116804
harmony	0.116579
unanimity	0.115718
integrity	0.112626
equilibrium	0.11143
stability	0.110481
discipline	0.109033
self-reliance	0.107127
morale	0.106399
teamwork	0.105417
professionalism	0.10434
vitality	0.103437
togetherness	0.102634
self-confidence	0.101935
interdependence	0.101494
resilience	0.10084
diversity	0.100164
credibility	0.0981793
Amity	0.0978101
self-discipline	0.0975881
tranquility	0.0963529
consistency	0.0949112
dignity	0.0944899
self-respect	0.0944752
confidence	0.0940863
self-esteem	0.0935002
vigor	0.0929054
transparency	0.0925708
efficiency	0.0920717
determination	0.0913411
strength	0.0904653
uniformity	0.0895891
integration	0.0880074
courage	0.0877858
equality	0.0875668
coexistence	0.0874433
mobility	0.0874319
"good will"	0.0872659
Openness	0.0867677
coordination	0.0863843
well-being	0.0862591
patriotism	0.0860937
flexibility	0.0859801
interoperability	0.0855435
composure	0.0854689
neighborliness	0.0851655
prestige	0.0847208
governance	0.0846991
"mutual understanding"	0.0844864
competence	0.0840111
effectiveness	0.083371
compassion	0.0830639
trust	0.0830114
"military capability"	0.0830042
decorum	0.0827158
"sense of purpose"	0.082685
loyalty	0.0819858
diversification	0.0817874
toughness	0.081522
capability	0.0811383
legitimacy	0.0811042
clarity	0.0810902
honesty	0.0808965
spontaneity	0.0807967
"standard of living"	0.0804354
Creativity	0.08018
selflessness	0.0800669
"staying power"	0.0800473
brotherhood	0.079976
unification	0.0798331
tranquillity	0.0797436
viability	0.0797045
perseverance	0.0796992
awareness	0.0796753
prosperity	0.0796512
tolerance	0.0795953
tenacity	0.0795306
"security interest"	0.0794216
stamina	0.0792393
consensus	0.0786968
self-worth	0.0786461
accountability	0.0779515
goodwill	0.0777177
fortitude	0.0776387
profitability	0.0776156
empowerment	0.0775011
camaraderie	0.0774192
firmness	0.0773455
purity	0.0773369
complementarity	0.0773019
reconciliation	0.0772915
maturity	0.077205
understanding	0.0768975
pride	0.0767195
sincerity	0.0765467
self-control	0.0765428
fairness	0.0765276
commonality	0.0756165
dissension	0.0755402
willingness	0.0747205
productivity	0.074677
"investor confidence"	0.0745612
humility	0.0743238
individuality	0.0743201
serenity	0.0743167
oneness	0.074006
distinctiveness	0.0739344
civility	0.073811
sustainability	0.0737004
endurance	0.0733347
clout	0.073082
motivation	0.0730731
sportsmanship	0.0730551
readiness	0.0729208
reliability	0.0725721
collegiality	0.0724749
wisdom	0.0723429
universality	0.0722101
superiority	0.0719682
"peace of mind"	0.0717989
"rule of law"	0.0717547
democratization	0.071724
patience	0.0714185
commitment	0.07134
rationality	0.0712894
normality	0.0711254
vigilance	0.0710278
bonding	0.0707864
resiliency	0.0707224
democracy	0.0706755
sanity	0.0706719
independence	0.0706293
graciousness	0.0704171
"economies of scale"	0.0701164
sophistication	0.0700799
preparedness	0.0700158
spirit	0.0698566
intensity	0.0694974
objectivity	0.0694302
moral	0.069392
sovereignty	0.0693765
livelihood	0.0692055
disunity	0.0691052
linkage	0.0690915
inclusiveness	0.0690897
calmness	0.0689803
neutrality	0.0689784
steadiness	0.0689625
identity	0.0689458
comity	0.0687134
rapprochement	0.0686195
morality	0.0685054
completeness	0.0684233
infrastructure	0.0682708
conciliation	0.0679181
skill	0.0678704
enthusiasm	0.0678068
boldness	0.067721
rift	0.0672042
decency	0.067197
stabilization	0.0671913
fluidity	0.0670907
supremacy	0.067086
freshness	0.0670721
pluralism	0.0670372
"sense of responsibility"	0.0669435
vibrancy	0.0667161
sensitivity	0.0664584
potentiality	0.0663779
self-sufficiency	0.0662793
good-neighborliness	0.0659735
"public trust"	0.0659134
dexterity	0.0657858
dedication	0.065747
ethic	0.0656618
moderation	0.0656417
polarization	0.0653688
intimacy	0.0650818
revitalization	0.0650178
"legal system"	0.0647577
originality	0.0646349
"public security"	0.0643525
decisiveness	0.0642831
seriousness	0.0642063
consciousness	0.0639971
Chemistry	0.0639115
self-restraint	0.0633825
certainty	0.0632746
closeness	0.0630991
ingenuity	0.0628884
steadfastness	0.0627344
explosiveness	0.0621337
stature	0.0621294
schism	0.0619861
))
(cohesiveness (desc 3459.75) (sims
cohesion	0.198331
coherence	0.122917
dynamism	0.121832
unity	0.108908
togetherness	0.102296
resilience	0.101226
teamwork	0.0993503
self-discipline	0.0961302
self-respect	0.0951425
solidarity	0.0936917
vitality	0.0918875
composure	0.0906454
competitiveness	0.0885696
adaptability	0.0882166
interdependence	0.0881059
continuity	0.0861586
competence	0.0857937
professionalism	0.0840174
self-esteem	0.0834051
self-confidence	0.0832382
fortitude	0.0829047
viability	0.0817344
cost-effectiveness	0.0814241
toughness	0.0813612
pragmatism	0.0799871
selflessness	0.079746
perseverance	0.0796773
stamina	0.0792183
humility	0.0787634
"military capability"	0.0786431
aggressiveness	0.0779193
endurance	0.0776281
uniformity	0.0772971
self-control	0.0771547
dignity	0.0771531
harmony	0.076664
prestige	0.0756347
resiliency	0.0755278
morale	0.0752655
closeness	0.0748226
"sense of purpose"	0.0739268
patriotism	0.0736067
integrity	0.0732059
predictability	0.0724483
diversity	0.0724223
neighborliness	0.0722711
acceptability	0.0721085
ingenuity	0.0719832
solidity	0.0718756
transparency	0.0717692
believability	0.0715874
tranquillity	0.0713325
entrepreneurship	0.0712202
friendliness	0.0709199
self-worth	0.0707004
pizazz	0.0704949
graciousness	0.0704075
loyalty	0.0702896
well-being	0.0700381
calmness	0.069988
credibility	0.0699429
"good will"	0.0697048
legitimacy	0.0694415
equilibrium	0.0690235
fairness	0.0687777
coexistence	0.0686764
versatility	0.0685459
tranquility	0.0685358
pluralism	0.0684792
"support system"	0.0683781
showmanship	0.0682678
sustainability	0.0681507
durability	0.0680252
conciliation	0.0679471
courage	0.0677907
rejuvenation	0.067755
"creature comforts"	0.0677383
dedication	0.0677146
camaraderie	0.0675381
explosiveness	0.0672735
vigor	0.0672198
reestablishment	0.0671873
"standard of living"	0.0667761
Openness	0.0667651
practicality	0.0666075
complementarity	0.066557
persistence	0.0664271
"staying power"	0.066303
boldness	0.0662539
completeness	0.0661974
universality	0.0660716
self-awareness	0.0660325
oneness	0.0659356
brotherhood	0.0657663
clout	0.0657555
empowerment	0.0657381
efficacy	0.0656139
disunity	0.0651059
interoperability	0.065086
goodwill	0.0650538
reliability	0.0650229
decisiveness	0.0650176
equality	0.0642584
marketability	0.0642452
effectiveness	0.0642004
tenacity	0.0641324
sincerity	0.064117
charisma	0.0640976
tact	0.0640891
liveliness	0.0639289
diversification	0.0638247
"internal control"	0.0636241
good-neighborliness	0.0633658
elasticity	0.0632958
forming	0.0632955
collegiality	0.063295
audacity	0.0630433
"team spirit"	0.0629667
consistency	0.0627258
"mutual understanding"	0.0624897
individuality	0.0624167
mobility	0.0621437
permanence	0.0618144
profitability	0.0614013
vigilance	0.0613615
democratization	0.0611575
willpower	0.060875
moderation	0.0608505
fulcrum	0.0607689
empathy	0.0606963
athleticism	0.060639
affectation	0.0606155
dexterity	0.0604787
playfulness	0.0604296
steadfastness	0.0603558
sophistication	0.0600505
Americanization	0.059947
linkage	0.059874
ethic	0.0595098
freshness	0.0591417
rebirth	0.059077
urgency	0.058864
"sense of responsibility"	0.0588371
"leadership role"	0.0585547
quickness	0.0584958
seriousness	0.0584341
connectedness	0.0584168
devotion	0.0583405
fragmentation	0.0582363
purity	0.0582174
productivity	0.058195
verisimilitude	0.0581742
agility	0.0580017
relevance	0.057775
proficiency	0.0576455
"peace of mind"	0.0576191
acumen	0.0576136
"economies of scale"	0.0575705
"co- operation"	0.057236
magnificence	0.0571391
diligence	0.0571294
pedigree	0.0570174
intimacy	0.0569517
"business relation"	0.0567816
Amity	0.0566194
Creativity	0.0565945
gravitas	0.0565185
self-reliance	0.0564469
breadth	0.0564374
compassion	0.0560418
spunk	0.0559842
self-image	0.0557566
intangible	0.0556993
"investor confidence"	0.0556099
serenity	0.055532
synergy	0.0555032
civility	0.0554643
"practical application"	0.0553079
nationhood	0.0552339
honesty	0.0551922
self-importance	0.0550577
hopefulness	0.0549376
spontaneity	0.0548797
powerlessness	0.0548246
patience	0.0545975
Wanderlust	0.0545219
accessibility	0.054441
Betterment	0.0543974
decentralization	0.0543601
mentality	0.0543389
"quality control"	0.0541788
popularization	0.0540135
good-neighborly	0.0538973
responsiveness	0.0536092
lethargy	0.0536009
punctuality	0.0534872
"hard work"	0.0534802
"sense of direction"	0.0534714
"shareholder value"	0.0533911
reorientation	0.0533707
))
(Cohn (desc 1761.86) (sims
Greenwald	0.113423
Rivlin	0.0977698
O'Hara	0.096349
Farber	0.0946566
Fiorina	0.0922525
Barad	0.0920244
Hahn	0.090989
Kimball	0.0905171
DeFrantz	0.090069
Iger	0.0892755
Brenner	0.086908
Orton	0.0855717
Cleary	0.0854941
Gilman	0.0853193
Molinari	0.0841838
Sheehy	0.0838184
Verney	0.0824841
Ackerman	0.0822562
Wasserstein	0.0821287
Hamlin	0.0818874
Mortimer	0.0818505
McDaniel	0.0813304
Tarawneh	0.0811893
Grunwald	0.0804844
Koskinen	0.0802243
Farrell	0.0800084
Holzman	0.0793654
Baum	0.0791656
Mapes	0.0790658
Baer	0.0789351
Feldman	0.0788549
Duffy	0.0787693
Ingalls	0.0787348
COYNE	0.0778009
Woodard	0.077488
Atkinson	0.0774636
Hickman	0.0773258
Menchu	0.0772805
pressman	0.0772353
Meissner	0.0772269
Rowling	0.0771499
Weinberg	0.0770777
Mullen	0.0765901
Marquez	0.0761266
Atwood	0.0760133
Kurtz	0.0759746
Shulman	0.0750532
Merritt	0.0749776
Joklik	0.0748978
Britton	0.0748736
Nilsson	0.074804
Schaeffer	0.0743153
Betts	0.0742482
Ashrawi	0.0735742
Ruggiero	0.0734993
Dyson	0.0732679
Lockwood	0.0729818
Mckee	0.0729675
TDB	0.0728741
Jeffers	0.0726624
Tharp	0.0726465
Goode	0.0725529
Mayer	0.0725337
Waxman	0.0724236
McFadden	0.0723874
Devine	0.0723843
Carmichael	0.0722194
Upshaw	0.0720775
Mei	0.0719309
Zheng	0.0718717
Weil	0.0718006
Kirkpatrick	0.071705
Kingsley	0.0716677
Schafer	0.0715689
Rosenberg	0.0714748
Wolff	0.0712129
Henning	0.0710826
Rutherford	0.0709764
Moscoso	0.0707284
Gartner	0.0703702
McDonnell	0.0702055
"Michel Camdessus"	0.0701059
Boardman	0.0700368
Mathews	0.0700011
Bellamy	0.0698637
Knapp	0.0698069
Mucha	0.069759
LeFave	0.0697206
Cline	0.0694964
Abram	0.0692953
Mullinax	0.0692674
Garber	0.0692271
Ruskin	0.0690951
Brittan	0.0689478
McConnell	0.0689011
Rowley	0.0688649
Hanley	0.0688244
Muir	0.0686052
Vogel	0.0685813
Schiff	0.0683735
Kern	0.0683
McCormack	0.0682895
Jaffe	0.0680213
Leung	0.067936
Briscoe	0.067707
Rosen	0.067482
Parsons	0.0674077
Marchand	0.0674057
Prueher	0.0671456
Emanuel	0.0671284
Lerner	0.0670953
Sibley	0.0669416
Kasyanov	0.0668953
Tuttle	0.066415
Cao	0.0663683
Rosenthal	0.0662439
Carlo	0.0661534
Dunham	0.0660461
Markovic	0.065974
Gaffney	0.0658921
Robb	0.0656996
guo	0.0656657
Zeroual	0.0655858
Scruggs	0.0655791
Berenson	0.0655046
Naumann	0.0654624
Chapman	0.065455
Yoon	0.0653049
Larson	0.0652391
Moonves	0.0651394
Keenan	0.0649374
Shriver	0.0646546
Krugman	0.0646539
Rosenbaum	0.0645834
Stephenson	0.0644769
Stratton	0.0644748
Tilberis	0.064273
Lowry	0.0642307
McIntyre	0.0640958
Hatfield	0.0640556
Marceau	0.0640255
Lessig	0.0639803
Mahoney	0.0637836
Cramer	0.063764
Augustine	0.0636313
"Xie Zhenhua"	0.0635423
Farley	0.0634189
Bogle	0.0632581
Rongen	0.0631092
"Kim Jong-pil"	0.0631059
Lai	0.0629063
Mikhailov	0.0627534
Falco	0.0626004
Sheehan	0.0624473
Lipstadt	0.0624052
Zhao	0.0621558
Spielman	0.062116
Fraga	0.0620787
Weiner	0.0619179
Ziegler	0.0618356
Mcbride	0.0616968
Gifford	0.0616465
Pascal	0.0613838
Swenson	0.0613068
Juma	0.0612162
Stacy	0.0611048
Blanchett	0.0610605
Arron	0.0609623
Meyers	0.0609452
Pearce	0.0609356
Maynard	0.0608217
McPherson	0.0608153
Bishara	0.060532
Nakamura	0.0605312
Rossi	0.0603703
joiner	0.0602888
Barlow	0.06028
Thurman	0.060125
Vasquez	0.0600238
Donnelly	0.0599382
Feng	0.0598649
Suarez	0.059814
Levine	0.0597263
Kerik	0.0597227
Schultz	0.0595753
Manheim	0.0595599
Edson	0.0595398
Portman	0.0595362
Duff	0.0595296
Friedman	0.0592121
Manley	0.0592025
Salinger	0.0591456
Weinstein	0.0591044
Dunleavy	0.0590042
Schott	0.0589771
Rupert	0.0589462
Freedman	0.058946
Couric	0.0588205
Wiggins	0.0588182
Pierson	0.0587817
))
(coho (desc 2281.28) (sims
"coho salmon"	0.263631
chinook	0.207929
steelhead	0.181948
sockeye	0.171603
"bluefin tuna"	0.16306
salmon	0.115496
"Atlantic salmon"	0.11347
"king salmon"	0.1051
"sea turtle"	0.105034
sturgeon	0.101322
"brown trout"	0.0916434
trout	0.087274
bluefin	0.0865781
"sea horse"	0.0863798
"right whale"	0.0861203
walleye	0.0831082
swordfish	0.0825316
"horseshoe crab"	0.0799637
"grizzly bear"	0.0782899
"sea otter"	0.0750949
"striped bass"	0.0741452
salamander	0.0734806
cormorant	0.0727935
striper	0.0723845
herring	0.071974
"Bengal tiger"	0.0710321
"gray wolf"	0.07085
abalone	0.0700825
"sea bird"	0.0689879
hatchlings	0.0687763
halibut	0.0687589
otter	0.0679919
Bighorn	0.0677148
rhinoceros	0.0672282
fauna	0.0665021
SkyTel	0.0660232
redfish	0.065942
waterfowl	0.0651857
antelope	0.0651742
manatee	0.0644738
sparrow	0.0618335
"peregrine falcon"	0.0607071
"blue crab"	0.0598472
rhino	0.0596675
turbot	0.0594453
"prairie dog"	0.0593185
"blue whale"	0.0591944
"monarch butterfly"	0.0580535
seabird	0.0579108
Emulex	0.0578454
"mountain gorilla"	0.0576972
humpback	0.0572939
Mapes	0.0567915
toad	0.0564733
lynx	0.0562808
shoplifter	0.0562221
turtle	0.0562073
"U.S. Trust"	0.0554309
orangutan	0.0544027
lobster	0.0539108
"black bear"	0.0538595
wrongdoer	0.0535715
minnow	0.0524461
"gray whale"	0.0524444
mammal	0.0523742
owl	0.0522278
lemur	0.0516375
"rare bird"	0.0514641
songbird	0.0513805
"wild horse"	0.0511822
Jett	0.0509174
"red snapper"	0.0499533
amphibian	0.0490579
"screen pass"	0.0488382
Newsome	0.0478645
elk	0.0477712
iguana	0.0477618
"minke whale"	0.0476846
Cabletron	0.0471147
tarpon	0.0465314
"red deer"	0.0464875
WELLPOINT	0.0463732
non-Hispanic	0.0462533
"brook trout"	0.0461208
chum	0.0459059
Chattahoochee	0.0453033
picketers	0.0450816
panda	0.0449386
"foul ball"	0.0448988
NiSource	0.0448372
"coral reef"	0.0443171
ibis	0.0443152
Stratus	0.0441945
non-Albanians	0.0441717
shad	0.0441506
Fingerhut	0.0440835
"rainbow trout"	0.0436532
PLDT	0.0433791
goose	0.0432902
ALZA	0.0431856
"Boston Scientific"	0.0431745
coral	0.0428962
RJR	0.0427726
Alaskan	0.0427465
"marine animal"	0.042448
Nesby	0.0421635
prawn	0.0421073
Transamerica	0.0420353
egret	0.0418161
logger	0.0417963
crabs	0.0416412
Pelican	0.0416328
"Network Associates"	0.0415249
carp	0.0414439
fawn	0.0414049
shellfish	0.0412791
XYLAN	0.0411797
"Berkshire Hathaway"	0.0410739
anchovy	0.0410172
MiniMed	0.0406585
biodiversity	0.040604
"P&AMP;G"	0.0405832
"Iraqi Kurds"	0.0405589
Trevi	0.0404797
"fish fry"	0.0400095
))
("coho salmon" (desc 1905.15) (sims
coho	0.263631
steelhead	0.197961
"bluefin tuna"	0.141653
sockeye	0.141356
"king salmon"	0.138383
"brown trout"	0.136624
sturgeon	0.130018
chinook	0.118136
"sea turtle"	0.116884
manatee	0.109126
salmon	0.10843
"peregrine falcon"	0.108119
"gray wolf"	0.100879
owl	0.100869
woodpecker	0.0999607
redfish	0.0957339
amphibian	0.0901254
trout	0.088778
"right whale"	0.0870158
antelope	0.0864908
"Atlantic salmon"	0.0863749
"sea otter"	0.0857715
"horseshoe crab"	0.0843758
"sea bird"	0.0835976
"Bengal tiger"	0.0821789
porpoise	0.0818669
songbird	0.0802072
"mountain gorilla"	0.0786318
seabird	0.0765907
"monarch butterfly"	0.0763956
hatchlings	0.075154
"striped bass"	0.0715909
tarpon	0.0712269
fauna	0.0703396
"grizzly bear"	0.0694276
"sea horse"	0.0692478
turbot	0.0688331
"coral reef"	0.0680713
toad	0.0674674
ibis	0.0664877
"humpback whale"	0.065865
herring	0.0639518
sparrow	0.0635058
waterfowl	0.0623382
"bald eagle"	0.0618815
subspecies	0.061676
striper	0.0603533
"blue crab"	0.0599836
"giant panda"	0.0593126
turtle	0.0592364
cormorant	0.0585296
"rare bird"	0.057784
"tropical rain forest"	0.0570654
rhino	0.0568702
tilapia	0.0565385
orangutan	0.0560838
"prairie dog"	0.055597
humpback	0.0553575
otter	0.0552722
mammal	0.0546966
bluebird	0.0545611
walleye	0.0544292
mollusk	0.0541748
salamander	0.0520932
chum	0.0515308
tern	0.0513406
"wild horse"	0.0509464
biodiversity	0.0507983
"gray whale"	0.0505003
"marine animal"	0.0495157
Catfish	0.0494781
non-Albanians	0.0493042
shad	0.0492677
reptile	0.0484945
crewmembers	0.0479515
swordfish	0.0479034
"African elephant"	0.0479029
magpie	0.0477004
"black bear"	0.0466761
minnow	0.0463933
swan	0.046264
fawn	0.0458748
reef	0.0447922
"old growth"	0.0444091
flora	0.0442769
geese	0.0440378
lynx	0.0440121
"coca crop"	0.0432541
Rubenstein	0.0432381
"Export Processing Zones"	0.0430883
vertebrate	0.0429603
Primate	0.0428358
"minority shareholder"	0.0428043
"rainbow trout"	0.0423862
egret	0.0417544
"Mogao Grottoes"	0.0413432
cheetah	0.0412503
bio-diversity	0.0410952
lemur	0.0410607
shoplifter	0.0404442
non-Muslims	0.0402192
Twenty-seven	0.0401728
prawn	0.040079
))
(cohort (desc 7793.88) (sims
cellmate	0.0725771
underling	0.0674713
crewmates	0.0666424
bandmates	0.0580206
co-defendants	0.0574053
acolyte	0.0553408
shipmate	0.0551671
comrade	0.0551072
schoolmate	0.0531889
"church member"	0.0521776
crony	0.0519243
busload	0.0512287
buddy	0.0502313
"fellow traveler"	0.0502073
guardsmen	0.0492286
Lieutenant	0.0491681
squire	0.0491368
cadre	0.048962
"fellow worker"	0.0484941
co-worker	0.0480957
minion	0.0476746
"core group"	0.0465255
stepbrother	0.0462898
companion	0.0456691
sibling	0.045581
follower	0.0455702
"Baby Bells"	0.0453371
collaborator	0.0451554
appointee	0.0449435
"stage name"	0.044841
entourage	0.0447194
enlistee	0.0438236
chimp	0.0433098
henchmen	0.043081
"foster mother"	0.0430425
retinue	0.0428336
disciple	0.0427681
"campaign worker"	0.041989
confidant	0.0418725
"board member"	0.0417463
confidante	0.0417305
acquaintance	0.041416
housemates	0.0410068
coworker	0.0409661
mates	0.0407051
"half sister"	0.0405354
bigwig	0.0403686
subgroup	0.0403542
"leading lady"	0.040183
))
(Coia (desc 1054.77) (sims
Hiett	0.174788
Taubman	0.155327
Manbar	0.144909
DeBartolo	0.135065
Citron	0.132707
Demjanjuk	0.131676
Portnoy	0.131291
Quackenbush	0.129891
Magaziner	0.126971
Elhage	0.126547
Kaunda	0.123159
Faget	0.122566
Schott	0.122371
Hanley	0.122206
Ritter	0.121604
Samper	0.119618
Spyridon	0.117236
Deri	0.117104
Martorano	0.116329
Nikitin	0.116302
Callaghan	0.115483
Kiareldeen	0.113812
Bakaly	0.113182
Neulander	0.112196
Mitnick	0.111137
Ershad	0.110084
Hage	0.108218
Haskins	0.108203
Natale	0.107531
Joklik	0.106432
Gowda	0.105935
Jett	0.105609
"El Hage"	0.1055
Verniero	0.105118
Kazhegeldin	0.104963
Bhattarai	0.104562
DiCarlo	0.104198
Gosper	0.104094
Fortier	0.103664
Jewell	0.103341
Reimer	0.10305
Fagan	0.102282
Kozeny	0.102119
Abernathy	0.102104
Livoti	0.102016
hale	0.101475
Salemme	0.100652
Lazarenko	0.0999663
Soliah	0.099355
Zacarias	0.0988975
McGinn	0.098711
Neff	0.0982876
Idris	0.0980618
Ramseys	0.0977445
Barad	0.0977077
Blackthorne	0.0975959
Mikhailov	0.0973523
Kagalovsky	0.0967702
Hsia	0.0964095
Maag	0.0939988
Boesak	0.0939025
"Al Fayed"	0.0937248
Coelho	0.0929677
Jenoff	0.0928466
"Royal Caribbean"	0.0925645
Cisneros	0.0924189
Protas	0.092013
Redstone	0.0912029
"Marianne Gingrich"	0.0908511
Schaeuble	0.0903803
leeson	0.0899267
"Richie Phillips"	0.0898474
Hirschfeld	0.0895819
Boehner	0.0895807
Rivlin	0.0893829
"La Mont"	0.0893651
Penders	0.08926
Hoke	0.089146
Swango	0.089105
Thayer	0.0889851
Haughey	0.0888245
Drabinsky	0.0881007
Marinovich	0.0879732
"Michel Camdessus"	0.0877906
Claes	0.0875252
Hofer	0.0875038
looper	0.0874689
Beathard	0.0874403
"Frank Joklik"	0.0869502
Harris-Lewis	0.0865886
Imperatori	0.0865836
Bogle	0.0863839
Biskind	0.0860446
"Carmen Policy"	0.0860358
Cowens	0.0859022
Khrushchev	0.0856999
Whitacre	0.0851978
Romar	0.0849407
Lileikis	0.0849314
Liao	0.0847184
Wendt	0.0845672
LeFave	0.0845613
Takeshita	0.0835011
Karbaschi	0.0834709
"Vladimir Meciar"	0.0833619
Manley	0.0833517
"Russell Peeler"	0.0831815
Romanowski	0.0825855
Gauthe	0.0822191
Schwarz	0.0821996
Villalonga	0.0819776
Berlusconi	0.0819359
Catacosinos	0.0812185
Papon	0.0812167
Weizman	0.0808742
Hamid	0.0807748
Mahuad	0.0805123
Bhutto	0.0804739
Flaherty	0.0804098
Tarver	0.0803676
"Northeast Utilities"	0.0802478
Slaney	0.0799173
Priebke	0.0798113
Sweeting	0.0796416
Lipstadt	0.0796108
Blackmun	0.0794075
Hensley	0.079316
Fordice	0.079128
Gotti	0.0790155
"Henry Cisneros"	0.0789417
Markhasev	0.078936
Lundy	0.078883
Chmura	0.0785502
Lafontaine	0.0784875
Karr	0.0782548
Welch	0.0782448
Sheinbein	0.0781157
Khalil	0.0779905
"Koch Industries"	0.0778202
Fuhrman	0.0777803
Jayasinghe	0.0770897
Rahal	0.0770172
Giacchetto	0.0768593
Slatkin	0.0768578
McMellon	0.0768219
Mukora	0.0768152
Berenson	0.0767155
Tennant	0.0766975
BNFL	0.0766544
Gargan	0.0764071
Nano	0.0763354
Cubas	0.0759424
ISSEL	0.0756186
Ponciano	0.0755426
Ivester	0.0753772
Esser	0.0752937
Roussel	0.0752587
Coe	0.0749984
Ntakirutimana	0.0746381
Druckenmiller	0.0746286
Merlino	0.0745332
Piggie	0.0744833
Murr	0.0743834
McCormick	0.074273
Sebaggala	0.0740019
"Vincent Foster"	0.0739965
nance	0.0738332
Trie	0.0735808
Duvalier	0.0734225
Lissouba	0.0734204
Conley	0.0733891
Cianci	0.073317
"Maturino Resendiz"	0.0733147
"Dave Cowens"	0.0731905
Kimeses	0.0729687
Meskini	0.0729349
Havelange	0.072783
Skakel	0.0727335
"Juan Antonio Samaranch"	0.0725598
Kesri	0.072479
Milken	0.0724423
Switzer	0.0723914
McWilliams	0.0720376
Tomba	0.0719519
Bucaram	0.0717342
"Juan Miguel"	0.0716606
Vogel	0.0715397
Bruder	0.0715124
Vogts	0.0713818
Zadornov	0.071344
Fayed	0.0713144
Astacio	0.0711831
Yoo	0.0711758
Cavallo	0.0710455
Feldman	0.0709317
"Clyde Drexler"	0.0707904
Shayler	0.0707848
"Robert E. Rubin"	0.0706579
Snider	0.0706212
Masire	0.0704537
))
(coif (desc 1151.16) (sims
"wedding dress"	0.0851949
Fez	0.0702733
hairstyle	0.0638442
"Little Dog"	0.0619395
toupee	0.06051
varietals	0.057618
mane	0.0550196
hairdo	0.0547486
parasol	0.0538933
jawbone	0.0518101
wainscoting	0.0498926
pompom	0.0485765
seashell	0.0483953
bandana	0.0478049
bathrobe	0.0470408
duds	0.0469157
poodle	0.0467488
"sitting room"	0.0466309
Afro	0.0465106
stratagem	0.0459227
"ball gown"	0.0456214
bridegroom	0.0451102
shingles	0.0434526
"natural process"	0.0432968
"cocktail dress"	0.0431929
eyelash	0.0430405
theocracy	0.04297
apparition	0.0429002
tendril	0.0426138
"Toyota Corolla"	0.0414376
caftan	0.0409412
dimple	0.0402787
Sari	0.0401005
))
(coil (desc 8104.18) (sims
spool	0.0880244
mesh	0.0823935
"steel plate"	0.0777001
stanchion	0.0728482
pipe	0.0718697
tube	0.0686762
rod	0.0666064
sheeting	0.0657571
barricade	0.0652616
tubing	0.0646884
duct	0.0598627
ingot	0.058469
flange	0.0562097
sensor	0.0558626
contraption	0.054917
sheet	0.0547523
gasket	0.054571
shutter	0.0544303
screw	0.0539777
lattice	0.0530049
molecule	0.0520662
scaffolding	0.051817
netting	0.0512442
earpiece	0.0510228
"window frame"	0.0501884
rosette	0.0492803
scaffold	0.049017
antenna	0.0485657
candle	0.0485587
prong	0.0484239
Atom	0.0481654
cage	0.0467086
stent	0.0465225
collider	0.0462405
"silicon chip"	0.0461553
transmitter	0.0457274
slab	0.0455688
"air bubble"	0.0450853
fragment	0.0448233
insulation	0.0443955
braid	0.0442156
"water bottle"	0.0440609
"folding chair"	0.0438731
truss	0.0437689
coating	0.0437222
bead	0.0436611
blade	0.0434417
pail	0.0433691
lantern	0.0433377
"blood cell"	0.043314
pellet	0.0431507
ember	0.0430371
"fishing line"	0.042962
glob	0.0429439
grid	0.0428931
tendril	0.0427717
"six miles"	0.0427227
cylinder	0.0424561
siding	0.0422303
wreath	0.0422139
tile	0.0419533
"storage device"	0.0418632
boiler	0.0418556
"sewing machine"	0.0418505
hanger	0.0417913
pixel	0.0417613
catheter	0.0416811
Casket	0.041671
fencing	0.0415888
ribbon	0.0415627
compressor	0.0415272
thermometer	0.0414954
"memory chip"	0.0414319
chisel	0.0413507
wick	0.0411856
droplet	0.0411753
"circuit board"	0.0410167
"piece of cloth"	0.0405807
bulb	0.0404627
detector	0.0404517
hose	0.040344
tarp	0.0402865
"light bulb"	0.04026
))
(Coin (desc 49630.7) (sims
stamp	0.147599
jewelry	0.140635
"bank note"	0.133888
Banknote	0.131825
"postage stamp"	0.121934
Pottery	0.11439
antique	0.105806
artifact	0.104311
item	0.102155
object	0.102153
painting	0.100355
relic	0.0973071
furniture	0.0963965
ornament	0.0962204
memorabilia	0.0954214
jade	0.0938249
porcelain	0.0930407
card	0.0928939
sculpture	0.092688
toy	0.0908089
piece	0.0900996
doll	0.0898399
jewellery	0.0886291
lacquerware	0.0883693
artwork	0.0879937
gold	0.0875489
bottle	0.0871253
ware	0.0863552
ceramic	0.0851184
collectibles	0.0850494
merchandise	0.0834207
poster	0.083325
"baseball card"	0.0831032
fossil	0.0823202
treasure	0.0819928
figurine	0.0818974
manuscript	0.0811948
goods	0.0810176
souvenir	0.0799873
T-shirt	0.0799862
vase	0.0798446
statue	0.079643
medallion	0.0794901
stone	0.0794625
brick	0.0788102
cash	0.0786841
"musical instrument"	0.0781601
ingot	0.0773974
cloth	0.0771561
tablet	0.0768478
"work of art"	0.0766678
pin	0.0757134
plaque	0.0757031
antiquity	0.0755543
currency	0.0754732
penny	0.0752153
diamond	0.074755
postcard	0.0744658
copy	0.0742893
photograph	0.0740745
material	0.0739974
"precious metal"	0.0739901
bracelet	0.0733225
carving	0.0732648
ticket	0.0729961
"credit card"	0.0728323
Clothing	0.0726326
box	0.0725234
badge	0.0724424
CD	0.0722986
document	0.072209
gem	0.0721909
bag	0.0720333
gun	0.0717793
passport	0.0714822
note	0.0713959
flower	0.0713686
certificate	0.0705609
chip	0.0704613
book	0.0703949
"trading card"	0.0699491
curio	0.0696887
jewel	0.0692689
"Beanie Babies"	0.069233
product	0.0691241
metal	0.0691205
trinket	0.0690128
glass	0.0689908
"dollar bill"	0.0688804
tile	0.0686251
firearm	0.0681721
lamp	0.0681622
weapon	0.0680864
disc	0.0677013
"traveler's check"	0.0675913
automobile	0.0674257
shoe	0.0673572
ammunition	0.0670514
cigarette	0.0670506
knife	0.0670195
ring	0.0668927
quilt	0.0668672
silver	0.0667003
paper	0.0666218
plate	0.0665963
drawing	0.0662077
furnishings	0.0661458
candy	0.0659545
money	0.0659122
"business card"	0.0656026
candle	0.0651679
glassware	0.0651612
necklace	0.0650912
handgun	0.0648337
bullion	0.0647867
container	0.064775
trophy	0.0647548
gift	0.0644895
bond	0.0644455
pot	0.064437
tomb	0.0642693
sheet	0.0642551
"oil painting"	0.0639706
sword	0.0638393
art	0.063801
bead	0.0637682
equipment	0.063639
envelope	0.0636373
gemstone	0.0636261
flag	0.0634466
food	0.0634416
bone	0.0628343
skeleton	0.0626477
handicraft	0.0626427
"precious stone"	0.062332
"compact disc"	0.0622396
tool	0.0621597
brochure	0.0621047
textile	0.0618638
car	0.0615612
commodity	0.061479
statuette	0.0613331
rug	0.0612712
cassette	0.0609787
tape	0.0609525
tire	0.0608939
fragment	0.0606193
remains	0.0602106
Shell	0.0601219
garment	0.0599893
collection	0.059978
fresco	0.0599268
map	0.0598629
bronze	0.0597502
calligraphy	0.0597401
vehicle	0.05964
monument	0.0594816
"Treasury bond"	0.0594439
wine	0.0593565
pistol	0.0592425
specimen	0.0592255
"historical document"	0.0589964
"folk art"	0.0589104
button	0.0588816
software	0.0587832
disk	0.0585227
accessory	0.0582917
pen	0.0582862
deposit	0.0581386
print	0.057951
cocaine	0.0579214
costume	0.0578431
fabric	0.0578142
"building material"	0.0577147
Beer	0.0577051
mask	0.0576772
explosive	0.0574362
CD-ROM	0.0574027
pill	0.0574021
picture	0.0570628
logo	0.0568554
sticker	0.0568286
camera	0.0565808
drug	0.0565226
device	0.0565192
debris	0.0564813
kit	0.0564796
grain	0.0564781
carpet	0.0562899
belonging	0.0562858
jar	0.0562187
vessel	0.056195
notebook	0.0561527
"piece of paper"	0.0560788
craft	0.0559878
check	0.0559297
rifle	0.0558815
ball	0.055684
heroin	0.0553891
urn	0.0553866
))
(coinage (desc 2698.52) (sims
misspelling	0.0671745
meritocracy	0.0594187
"silver dollar"	0.0557439
"monetary system"	0.0554084
"traveler's check"	0.0539479
"telephone wire"	0.0517551
"bank note"	0.0490263
"equity market"	0.0482828
"genetic disease"	0.0478598
"frame of reference"	0.0476873
"Kennewick Man"	0.0475633
Banknote	0.0475172
adjective	0.0462257
"U.N. Conference"	0.0457646
"double agent"	0.0450195
noun	0.0449134
lingo	0.0443013
trope	0.0436861
derivation	0.0433612
"choice of words"	0.04301
"Ford Mustang"	0.0429419
witticism	0.042802
misinterpretation	0.0418391
"debt problem"	0.0417679
zinger	0.0414143
"debt issue"	0.0413841
"foster mother"	0.0413674
punctuality	0.0413352
Bjork	0.0413081
Camaro	0.0410364
"cash crunch"	0.0407382
"computer language"	0.0406892
refrigerant	0.0405444
slang	0.0405304
hypothesis	0.040359
tagline	0.0401607
glossary	0.0401429
"French franc"	0.0401181
neurosis	0.0401131
))
(coincidence (desc 17566.6) (sims
happenstance	0.139799
fluke	0.125091
Luck	0.104168
"turn of events"	0.103456
"bad luck"	0.0926245
confluence	0.0923323
irony	0.0889665
aberration	0.0843208
serendipity	0.0840934
twist	0.0836437
juxtaposition	0.0831544
quirk	0.0826158
accident	0.0819445
paradox	0.0807891
"waste of time"	0.0770247
omen	0.0763429
surprise	0.0763054
misunderstanding	0.0758558
distraction	0.0742141
reminder	0.0724841
timing	0.0723574
nonsense	0.072066
occurrence	0.071862
mistake	0.0700601
anomaly	0.0693064
similarity	0.0692241
turnabout	0.0685989
circumstance	0.0680962
mystery	0.0680559
tragedy	0.06791
footnote	0.0655015
resemblance	0.0652068
stunt	0.0651408
fantasy	0.0645702
hoax	0.064438
contradiction	0.064277
trick	0.0642616
ploy	0.0639026
Convergence	0.0637809
miracle	0.0634671
gimmick	0.061944
sense	0.0615603
indication	0.0614554
oddity	0.061113
curiosity	0.0609347
anticlimax	0.0607903
combination	0.0606717
reversal	0.0604669
blunder	0.0603669
precedent	0.0600242
phenomenon	0.0599413
joke	0.059861
sideshow	0.0598179
exaggeration	0.0596652
distortion	0.0595463
tidbit	0.0594956
fad	0.0590702
blip	0.0586096
spectacle	0.0583225
unfortunate	0.0582436
subplot	0.0580773
scenario	0.0578513
mishap	0.0573859
stat	0.0568446
diversion	0.056299
gaffe	0.0562771
reflection	0.0560767
gesture	0.0560177
novelty	0.055822
miscommunication	0.0557917
jolt	0.0556324
inconvenience	0.0553507
milestone	0.0553459
myth	0.055267
catastrophe	0.0552438
epiphany	0.0550653
blend	0.0547366
farce	0.054618
travesty	0.0543374
fun	0.0541814
misstep	0.054132
coda	0.0540187
feat	0.0538972
miscalculation	0.0537309
vindication	0.0535889
intuition	0.0533748
phenomena	0.053214
thrill	0.0530882
parallel	0.052955
tale	0.0529395
absurdity	0.0529329
indignity	0.0529315
dichotomy	0.052853
necessity	0.0527619
accomplishment	0.0526746
symmetry	0.0523865
hiccup	0.0523763
embarrassment	0.0522147
sentimentality	0.0521502
feeling	0.0520751
nature	0.0520008
contrast	0.0519951
fabrication	0.05195
sight	0.0518704
adventure	0.0518492
beauty	0.0518299
reality	0.0517939
talent	0.0516951
hypocrisy	0.0516247
pleasure	0.051541
"wishful thinking"	0.0515079
commonality	0.0514978
contrivance	0.0514536
madness	0.0513175
annoyance	0.0511764
outcome	0.0507379
revelation	0.0506971
"love story"	0.0506453
error	0.0506004
metaphor	0.0505536
symbol	0.0504172
betrayal	0.0503914
karma	0.0501365
logic	0.0500505
repetition	0.0499905
mess	0.0499016
possibility	0.0497849
disappointment	0.0497732
anecdote	0.049729
flicker	0.0497195
familiarity	0.0497124
foolishness	0.0497069
sequence	0.0496656
expression	0.0495396
thought	0.0495152
unanimity	0.0495081
disaster	0.0494541
episode	0.0493835
"state of affairs"	0.049325
ambiguity	0.0492949
subtlety	0.0492327
theatricality	0.0491979
Nuisance	0.0491681
insult	0.049161
hype	0.0490834
manifestation	0.0489574
baloney	0.0488957
instinct	0.048891
fate	0.0488834
tableau	0.0486773
"sense of humor"	0.0486517
realism	0.0486244
testament	0.048463
ritual	0.0483743
flaw	0.0483172
formality	0.0482799
omission	0.0482131
setback	0.0480512
crap	0.0480467
"turning point"	0.0480143
destiny	0.0479544
discrepancy	0.0479152
horseplay	0.0479144
rhetoric	0.0478517
excuse	0.0478367
happening	0.0478058
conjecture	0.047751
consequence	0.0476801
magic	0.0476166
suspense	0.0476144
folly	0.04748
pairing	0.0474388
conceit	0.0473834
cliche	0.0473652
notion	0.0473569
"side effect"	0.0472942
excitement	0.047233
denouement	0.0472277
provocation	0.0472258
interlude	0.047153
illusion	0.0471367
luxury	0.047127
arrogance	0.0470914
hybrid	0.0470614
misconception	0.0469286
proof	0.0469182
"window dressing"	0.0468057
aspect	0.0467982
compliment	0.0467436
"success story"	0.0467137
misfortune	0.0466723
inevitability	0.0466557
synergy	0.0466446
has-been	0.0466076
genius	0.0465954
symbolism	0.0465734
chutzpah	0.0465733
noise	0.0465719
catharsis	0.0465683
speculation	0.0465391
))
(coincidentally (desc 1464.69) (sims
Mashburn	0.0694742
Maxine	0.0601608
"Tom Johnson"	0.0496405
"Van Sant"	0.0496084
Moser	0.0467127
"Annie Get Your Gun"	0.0447102
Cleese	0.0429984
"World Jewish Congress"	0.0427488
"Log Cabin Republicans"	0.041845
Ito	0.0407816
Severino	0.0406158
"Human Rights Campaign"	0.0402426
Kittles	0.0402084
Groucho	0.0400039
))
(coke (desc 33201.5) (sims
Coca-Cola	0.252276
Pepsi	0.196496
"soft drink"	0.152409
soda	0.147809
Pepsico	0.146395
"Coca Cola"	0.135192
"Coca-Cola Co."	0.131533
Beer	0.126224
Kodak	0.120399
cola	0.119312
Gillette	0.118233
"Diet Coke"	0.11781
CCE	0.114536
drink	0.113306
Intel	0.113032
Cadbury	0.11012
Compaq	0.109833
IBM	0.108072
"P&AMP;G"	0.105088
NIKE	0.104914
Microsoft	0.104193
TYCO	0.103523
"Mountain Dew"	0.102983
BellSouth	0.102706
GM	0.102321
Cisco	0.101369
Reebok	0.101002
Boeing	0.100453
RJR	0.0993366
Mattel	0.0989711
"Home Depot"	0.0978026
Motorola	0.0977181
Budweiser	0.097017
beverage	0.0965425
"Philip Morris"	0.0961538
Sunbeam	0.0956706
Raytheon	0.0953407
"Coca-Cola Enterprises"	0.0946997
Xerox	0.0946718
"mineral water"	0.0938137
Ge	0.0936259
Dupont	0.0924453
Georgia-Pacific	0.0914691
Dell	0.091203
Merrill	0.0910463
Honeywell	0.0910216
Scientific-Atlanta	0.0909269
"Pepsi Cola"	0.0909183
Unilever	0.0909088
"General Electric"	0.0903501
EMC	0.0898485
Disney	0.089744
Pfizer	0.0896879
Ford	0.0891163
Hewlett-Packard	0.0888761
"American Home"	0.0888192
coffee	0.0886863
ARCO	0.0879237
Wal-Mart	0.0877509
DaimlerChrysler	0.0874072
McKesson	0.0874031
oracle	0.0872271
Aetna	0.0871162
"iced tea"	0.0869249
BofA	0.086451
Clorox	0.0863635
Alcoa	0.0860142
HP	0.0859446
Warner-Lambert	0.0856126
"Ford Motor Co."	0.0851592
Starwood	0.0846616
Mannesmann	0.0844279
Lockheed	0.0843403
Chrysler	0.0837621
REVLON	0.0831329
"Procter &AMP; Gamble"	0.082462
Nortel	0.0821503
Delphi	0.0820912
Exxon	0.0819589
liquor	0.0816348
"Stride Rite"	0.08162
vodka	0.0813452
Lucent	0.081034
Monsanto	0.0807311
Netscape	0.0806121
Nabisco	0.0805722
Volkswagen	0.0802825
lemonade	0.0799953
"Microsoft Corp."	0.0793296
Seagram	0.0791583
"Time Warner"	0.0790933
"General Motors"	0.0786297
Verizon	0.0784408
Sprite	0.0783142
apple	0.0782117
Providian	0.0778936
Citigroup	0.0778748
"Cadbury Schweppes"	0.0778419
MCDONALD's	0.0776201
Genentech	0.0774905
Nissan	0.0772989
"Bell Atlantic"	0.0770797
"Sara Lee"	0.0770079
"root beer"	0.0769498
MindSpring	0.0768429
Gatorade	0.0768053
Cendant	0.0767683
"U S West"	0.0765653
Daimler	0.0765583
"Ocean Spray"	0.0763903
Schwab	0.0762822
BankBoston	0.0760544
NORTHROP	0.0757091
Chevron	0.0755785
Anheuser-Busch	0.0749782
Hamburger	0.0746191
Livent	0.0746142
whisky	0.0743518
milk	0.0743517
Renault	0.074281
Amazon	0.074075
Lilly	0.0739881
AOL	0.0738534
SmithKline	0.0735384
"Boston Scientific"	0.0735382
wine	0.0734209
"Deutsche Telekom"	0.0733975
BMW	0.07326
FPL	0.0732099
tea	0.0730757
milkshake	0.0730137
"spring water"	0.0729068
Qwest	0.0728388
AutoNation	0.0728178
Polaroid	0.0725947
"America Online"	0.0725755
Amgen	0.0724801
cappuccino	0.0723004
bottler	0.0720677
"hot dog"	0.0720229
Ericsson	0.071934
Mobil	0.071864
"Bankers Trust"	0.0717979
Sony	0.0717931
cigarette	0.0716695
"Times Mirror"	0.0716671
Heineken	0.0716433
UAL	0.0716273
Aegon	0.0710164
Bridgestone	0.0707483
Texaco	0.0706916
MCI	0.0706517
"General Motors Corp."	0.0705568
"Burger King"	0.0702228
Enron	0.0702145
excite	0.070114
Cabletron	0.0700517
"American Home Products"	0.0699805
Biogen	0.0698564
SBC	0.0694851
Halliburton	0.0694694
champagne	0.06944
airline	0.069005
Yahoo	0.0689839
Corel	0.0688799
popcorn	0.0688336
Webvan	0.0688301
Telefonica	0.0687148
"ice cream"	0.0686482
MiniMed	0.0685728
"Walt Disney Co."	0.0684153
Seagate	0.0683862
Vodafone	0.0683337
Bestfoods	0.0681125
WorldCom	0.0679372
delta	0.0677994
Goodyear	0.0677808
"BP Amoco"	0.0676947
Conseco	0.0674928
"American Express"	0.0674851
Fedex	0.067397
"HBO &AMP; Co."	0.0673562
Kellogg	0.0673461
"Deutsche Bank"	0.0673265
"RJR Nabisco"	0.0671916
"orange juice"	0.0671479
MP@.com	0.0671421
Volvo	0.0671275
ups	0.0669825
Lycos	0.0669517
adobe	0.0668948
"US Airways"	0.0668232
adidas	0.0667162
juice	0.0665361
Occidental	0.0664049
Fiat	0.0663871
AMR	0.0663403
sprint	0.06634
Orangina	0.0663161
automaker	0.0662584
))
("Cokie Roberts" (desc 2054.12) (sims
"Diane Sawyer"	0.173503
"Sam Donaldson"	0.144135
"Connie Chung"	0.141864
"Peter Jennings"	0.116487
"Christiane Amanpour"	0.11061
"Ted Koppel"	0.105406
"Peter Arnett"	0.103199
Jenrette	0.093914
"Katie Couric"	0.0904726
"Larry King"	0.083565
"Tim Russert"	0.0798921
"Bill Moyers"	0.0788778
"David Halberstam"	0.0756133
"William Kristol"	0.0748999
"George Will"	0.073915
"Mike Wallace"	0.0714844
"Barbara Walters"	0.0696948
"Dan Rather"	0.0673748
Sawyer	0.0672655
Lufkin	0.0626062
"Walter Cronkite"	0.0625006
"John Reed"	0.0623033
Gerry	0.0617709
"William Safire"	0.0607489
"Bob Woodward"	0.0599095
"Jack Smith"	0.0596641
"Tom Brokaw"	0.0584731
"Edward R. Murrow"	0.0581582
"Patrick Buchanan"	0.0580508
"Lou Dobbs"	0.057594
"Andrei Babitsky"	0.0567623
"Drew Carey"	0.0557715
"Matt Drudge"	0.0547407
Terri	0.0543641
"Kathie Lee Gifford"	0.0538164
Mohajerani	0.0537457
"Maureen Dowd"	0.0535545
Blaylock	0.053553
"Bora Milutinovic"	0.0531962
"Patricia Smith"	0.0518681
"Steven Brill"	0.0514188
Susie	0.0511651
"Jack Valenti"	0.0509312
"George Stephanopoulos"	0.0507926
"Lori McNeil"	0.0506459
"James Baker"	0.0499507
"Bernard Shaw"	0.0489175
Bolger	0.048677
"Maria Shriver"	0.0479273
newsman	0.0475688
Hazzard	0.0472465
Jenoff	0.0468922
"Shao Yunhuan"	0.0468768
Russert	0.0463945
Ratner	0.046181
Yastrzhembsky	0.0460084
Nickerson	0.0458695
Nightline	0.0454681
Scalfaro	0.0454362
Donnelly	0.0449442
Rudenstine	0.0448869
Kaye	0.0441595
Ciampi	0.0440615
Fernandes	0.04405
Sununu	0.0439416
Yadav	0.0436146
"Dennis Miller"	0.0435614
"Bob Costas"	0.043561
Darren	0.0434568
cognoscenti	0.0432816
"Wlodzimierz Cimoszewicz"	0.0431693
Moratinos	0.0429217
Marchand	0.0428689
"hundred million dollars"	0.0427705
Advani	0.0427592
"David Frost"	0.0426185
Ikeda	0.0425506
Chadwick	0.0423276
Modell	0.0422596
Okada	0.0421781
Azad	0.0420657
Kagalovsky	0.0420253
"Bud Selig"	0.041867
Strauss-Kahn	0.0418376
"Sydney Morning Herald"	0.0417113
Atwood	0.0413336
Carollo	0.041244
Ribbeck	0.041243
Ruehe	0.0412075
policymaker	0.0410963
Hanley	0.0410922
Alcorn	0.041025
McKenna	0.0408135
Paula	0.0403517
Richie	0.0402662
"government minister"	0.0402555
"Arianna Huffington"	0.0400419
))
(col (desc 3306.1) (sims
Edm	0.534108
phi	0.528905
Stl	0.513211
SJ	0.512201
Ott	0.486333
BUF	0.477943
Det	0.427057
dal	0.418943
pho	0.415824
FLA	0.382558
tor	0.381338
Ana	0.335191
Mon	0.327017
NA	0.241382
Cal	0.175095
Chi	0.174827
Tb	0.153009
Holik	0.152919
LaPointe	0.152279
Pederson	0.104862
Arnott	0.0956189
Smolinski	0.0918376
Laperriere	0.0870734
Berard	0.0815144
Sacco	0.0793824
McKay	0.079231
Samuelsson	0.0761023
Robitaille	0.059705
Norstrom	0.0586078
O'Donnell	0.0535977
Hou	0.0529555
madame	0.0526155
two-minute	0.0517996
McKenna	0.04766
Doan	0.0463611
Ferraro	0.0436138
"Darren McCarty"	0.0426727
Foote	0.0416941
tamer	0.0415968
Andreychuk	0.0412656
))
(cola (desc 7004.76) (sims
"soft drink"	0.172961
soda	0.165
"Diet Coke"	0.149207
"soda pop"	0.123382
Beer	0.121825
coke	0.119312
"iced tea"	0.116718
vodka	0.115037
espresso	0.113931
"mineral water"	0.110714
"root beer"	0.109396
tequila	0.107253
"hot chocolate"	0.103799
"fruit juice"	0.103507
"cranberry juice"	0.103179
coffee	0.103098
tea	0.102421
lemonade	0.100659
beverage	0.0994531
"alcoholic beverage"	0.0979377
Cognac	0.0961816
Pepsi	0.0940287
rum	0.0932494
juice	0.0912883
Gatorade	0.0906324
"Dom Perignon"	0.0902017
cocoa	0.0901233
Kool-Aid	0.0885716
cappuccino	0.0875824
cider	0.0873404
"Mountain Dew"	0.0863822
"red wine"	0.086293
liqueur	0.08583
"Miller Lite"	0.0852114
"ice cream"	0.0850189
"ginger ale"	0.0847692
Budweiser	0.0846447
whisky	0.0844984
liquor	0.0838571
Heineken	0.0836202
"orange juice"	0.0830041
"black tea"	0.0821599
Snapple	0.0804992
"snack food"	0.0803168
wine	0.080313
"green tea"	0.0797524
scotch	0.0793138
candy	0.0783452
brandy	0.078199
milk	0.0772374
absinthe	0.0768763
"Pepsi Cola"	0.076033
champagne	0.0734558
doughnut	0.073376
"spaghetti sauce"	0.0720234
chocolate	0.0716638
cheesecake	0.071348
popcorn	0.0709328
snack	0.0699312
"sparkling wine"	0.06908
"french fries"	0.0688557
Seltzer	0.0685748
"potato chip"	0.067429
"hot dog"	0.0670854
"chewing gum"	0.0664768
cereal	0.066284
gin	0.0657159
"ice water"	0.0649029
donut	0.0648102
"Bud Light"	0.0647488
"consumer electronics"	0.0644173
alcohol	0.0643235
ale	0.064315
"apple juice"	0.0641211
whiskey	0.0638525
pretzel	0.063785
milkshake	0.0637675
pizza	0.0632423
"tuna fish"	0.0631888
"white wine"	0.0627698
shampoo	0.0622475
Chardonnay	0.0616919
sisal	0.0613833
Sprite	0.0610443
"baked goods"	0.0609805
Calvados	0.0607562
"laundry detergent"	0.0599747
cigarette	0.0597232
tobacco	0.0597038
yogurt	0.0595815
cooky	0.0595115
Coca-Cola	0.0594809
"dairy product"	0.0592083
"spring water"	0.0587296
"fruit salad"	0.0585013
"tomato juice"	0.0581499
"cashew nut"	0.058069
vanilla	0.0578603
bourbon	0.0576958
soup	0.0574814
"home appliance"	0.0569076
"Coca Cola"	0.056906
Jell-O	0.0566993
bagel	0.0566599
"cat food"	0.0563209
booze	0.0555104
biscuit	0.0554391
"maple syrup"	0.0551563
buttermilk	0.0551327
"passenger car"	0.0550914
pastry	0.05508
Beaujolais	0.0550441
copier	0.0546906
caffeine	0.0546743
malt	0.0541545
nut	0.0539321
spice	0.0536913
margarine	0.053564
Orangina	0.0530335
"pet food"	0.0529353
Martini	0.0526434
"coffee bean"	0.0521138
"frozen food"	0.0516948
"health food"	0.0515261
lager	0.0514722
cosmetic	0.0514091
toothpaste	0.0512699
Benecol	0.0512285
"skim milk"	0.0510408
ketchup	0.0509491
Tonic	0.0508574
"canned food"	0.0507422
semitrailer	0.0506651
banana	0.0506139
peanut	0.0504326
"palm oil"	0.0502515
bottler	0.0501529
Chianti	0.0500678
"consumer product"	0.0496472
coconut	0.0495354
soap	0.0492098
"computer hardware"	0.048992
burgers	0.048909
"candy bar"	0.0488728
"fresh fish"	0.0486462
"California wine"	0.0486206
smoothie	0.0483756
Pondimin	0.0483309
molasses	0.0482178
Propulsid	0.0476949
"consumer goods"	0.0476943
stent	0.0476816
syrup	0.0476545
licorice	0.047517
Evian	0.0475161
"cooking oil"	0.0474545
cheese	0.0474494
"hair spray"	0.047308
sweetener	0.0470258
dessert	0.0469733
fizz	0.0469084
Fragrance	0.0465866
"soda can"	0.0465226
Cigar	0.04637
croissant	0.0461819
"salad dressing"	0.046169
VCD	0.0461026
"cup of tea"	0.0460968
LIPITOR	0.0456948
seafood	0.0456844
cheeseburger	0.045634
Corona	0.0456033
vitamin	0.0455493
Hamburger	0.0454844
merlot	0.0454263
detergent	0.045296
Fen-Phen	0.0452833
workstation	0.0452032
Guinness	0.0451656
pie	0.0451217
citrus	0.0451181
"communications equipment"	0.045115
antihistamine	0.0451051
"life insurance"	0.0449978
"chocolate chip cookie"	0.0448669
Chili	0.044749
gourmet	0.0446939
flavoring	0.0446716
vinegar	0.0446417
lysine	0.0445943
"dried fruit"	0.0445448
"hot sauce"	0.0444344
semiconductor	0.0444197
apparel	0.0442111
perfume	0.0441803
Tylenol	0.0441523
latte	0.0439554
microprocessor	0.043937
"vegetable oil"	0.0437643
acetaminophen	0.0437328
))
(colander (desc 2634.81) (sims
strainer	0.193489
sieve	0.163101
"mixing bowl"	0.132344
ramekins	0.106848
saucepan	0.105063
"Dutch oven"	0.101977
Ladle	0.101218
wok	0.0995368
stockpot	0.0954625
skillet	0.0949606
"grocery bag"	0.0845078
steamer	0.0802162
"ice water"	0.0706634
grater	0.0706155
"food processor"	0.0702047
kettle	0.0699275
Casserole	0.0685706
"double boiler"	0.0674182
stanchion	0.0671378
splint	0.0669888
"frying pan"	0.0667788
chalice	0.0662762
"trash can"	0.0661103
"Himachal Pradesh"	0.0658275
tray	0.060648
banger	0.0601538
cheesecloth	0.0596803
blender	0.0573199
"paper bag"	0.0567284
birdbath	0.056049
"hunting knife"	0.055523
"petri dish"	0.0553516
"rolling pin"	0.0549821
cooker	0.0542339
"paper towel"	0.0539699
dryer	0.052827
gutter	0.0526805
"microwave oven"	0.0525085
stylus	0.0521163
"pie shell"	0.0513864
receivership	0.0505479
pinwheel	0.0502554
florets	0.0499191
scraper	0.0495861
masher	0.0489089
earplugs	0.0485076
rind	0.048023
"cutting board"	0.0479726
wastebasket	0.0472905
barbell	0.0467673
"pressure cooker"	0.0460851
"shopping bag"	0.0460668
storekeeper	0.0454509
"water jug"	0.0451367
broth	0.0450115
"grapefruit juice"	0.0449818
"beach ball"	0.044781
"surgical instrument"	0.0440722
tarp	0.0439338
"trash bin"	0.0434702
"serving dish"	0.0432725
urn	0.0432114
"catalytic converter"	0.0429382
"garbage can"	0.0428049
"clenched fist"	0.0425394
"Northeast Division"	0.0424136
"baseball bat"	0.042366
bathtub	0.0423389
chokehold	0.0422373
musket	0.0419282
"battering ram"	0.0418035
Biggs	0.0415633
cladding	0.0413181
uterus	0.0412896
"eminent domain"	0.04126
tarpaulin	0.0412248
noisemaker	0.0411191
spatula	0.0409634
bonbon	0.0407292
"American League West"	0.0404084
Dumpster	0.0402017
sheeting	0.0401212
))
(Colangelo (desc 2547.59) (sims
Ruehe	0.112972
Schmid	0.112407
Reinsdorf	0.109878
Keenan	0.103011
Showalter	0.10057
Kearin	0.0998749
Shinn	0.0992917
Camacho	0.0990051
Zambrano	0.0988562
Insulza	0.09698
"administration official"	0.0936551
Fassett	0.0929657
Scioscia	0.0920905
Wenger	0.0911677
Beilin	0.0902398
Foyt	0.0898857
Donnan	0.0897881
Wolfson	0.0897111
Mikhailov	0.0891208
Finkel	0.0888051
Polian	0.0885891
Troussier	0.0874625
Ikeda	0.0871444
Azizah	0.0869107
Alderson	0.0864408
Passarella	0.0863228
Conroy	0.0862027
Hauser	0.0859678
Hodler	0.0858879
Cowan	0.085795
Krzyzewski	0.0853008
McKenna	0.0848859
Fernandes	0.0846322
Schuerholz	0.084566
Muckler	0.0836526
Milbury	0.0835013
Zadornov	0.0830198
Rongen	0.0829457
Rodionov	0.0827176
Reimer	0.0823608
Summitt	0.0819141
Jacquet	0.0818859
Steinbrenner	0.0816443
Kornberg	0.0815748
Sherrill	0.0810494
Ftorek	0.0806665
beamer	0.0805014
Layden	0.0799566
"De Soto"	0.0797767
Naumann	0.0797185
Bubb	0.0795806
Constantinescu	0.0794996
Waxman	0.0794923
Greenberg	0.0791997
Soyinka	0.0791978
Brogna	0.0790089
Guterres	0.0790036
Caddell	0.078656
Olsen	0.0786498
Cooke	0.0784564
Pryor	0.078444
Tran	0.0781856
Cusack	0.0781342
Milutinovic	0.0781181
Goldin	0.078009
Nasrallah	0.0779451
Weldon	0.0779095
Tharp	0.0777839
Gillick	0.0776716
Neilson	0.0775904
Inhofe	0.0774526
Wagoner	0.0774341
Garcetti	0.077412
Manley	0.077397
Drabinsky	0.0773327
Guthridge	0.0773095
Bustamante	0.0771227
Cortines	0.0771076
Ditka	0.0769035
Imperatori	0.0765705
DeFrantz	0.0764072
Solich	0.0763876
Ebersol	0.0761243
Hargrove	0.0760775
Joklik	0.0759369
Klima	0.0758794
Prewitt	0.0757483
Carollo	0.0757268
Calhoun	0.0756092
Faget	0.0753947
Advani	0.0753733
Monson	0.0750717
Bibby	0.0750529
Edelstein	0.0750371
Siazon	0.0750013
Casserly	0.0749664
Daft	0.0749477
Reinhardt	0.0746244
Skiles	0.0746141
Ganassi	0.0744532
Marinovich	0.0744252
Hartsburg	0.0740806
Molinari	0.0737989
Munson	0.0737642
Samuelson	0.0735897
Soderbergh	0.0735776
Alford	0.0734583
Ainge	0.0734117
Saunders	0.0734044
Lipponen	0.073304
Aventajado	0.0731679
Beathard	0.0731532
Ruggiero	0.0731383
Schwartz	0.0730574
Venables	0.0730009
Duquette	0.0729625
Orban	0.0729003
Dierker	0.0728225
Grasso	0.0726523
Parrish	0.0724185
Pfeiffer	0.0723732
Murrell	0.0721953
Donohue	0.0720505
Rossotti	0.0720372
Whitsitt	0.0720258
Geiger	0.0719987
Bowden	0.0718657
Kurtz	0.0718322
Crenshaw	0.0716849
Okada	0.0716594
Jovanovic	0.0714501
Russo	0.0713304
Piot	0.071326
LeBlanc	0.0710202
Lim	0.0709964
Ritter	0.0708598
Ebbers	0.0708252
Verney	0.0707847
Cashman	0.0702979
Lau	0.0702409
Bettman	0.0702282
Harrick	0.0701364
Shevardnadze	0.0701099
bock	0.0699935
Flores	0.0699887
Zhirinovsky	0.0699523
Vasquez	0.0698777
Hunsicker	0.0696759
Bronfman	0.0695579
hodgson	0.0694256
Dunne	0.0693764
Hamdoon	0.0693726
Bergeron	0.0693672
Gosper	0.069287
Bidwill	0.0691925
Grier	0.0691156
Alarcon	0.0688016
Brezhnev	0.0687915
ROMNEY	0.0687737
Donahue	0.0687428
Moratinos	0.0687
Fieger	0.0686722
Snyder	0.0686467
Pitino	0.068565
Alatas	0.0684995
Barshefsky	0.068452
McNair	0.0684222
Gullit	0.0682327
Shays	0.0681648
Goossen	0.0680693
Connolly	0.0679785
cain	0.0679737
Choi	0.067903
Echols	0.0678858
Podesta	0.0678812
Sheppard	0.0678386
Eizenstat	0.0677537
Jarvis	0.0677114
Zimmer	0.0676368
Gaston	0.0676117
"Chief Executive Tung Chee-hwa"	0.0676042
Dunleavy	0.0675713
Shi	0.0675629
Steiner	0.0675445
Lew	0.0674593
Druckenmiller	0.0674361
Sykes	0.0674051
Grossman	0.0674001
ISSEL	0.0673517
Glaser	0.0672718
Pennington	0.0671465
Musa	0.0670587
Huizenga	0.0670533
Jayakumar	0.0669257
Slocum	0.0668196
Condit	0.0667941
Ackerman	0.0667791
GRUNFELD	0.0667562
Coppola	0.0667209
Indyk	0.0666661
))
(Colbert (desc 1365.92) (sims
"Tom Kite"	0.103763
Etherton	0.0975793
Fleischer	0.0975263
Solis	0.0960074
Appleby	0.0958533
Calcavecchia	0.0954821
Heinrichs	0.0923757
Madsen	0.0895263
Wilkerson	0.0889835
Zito	0.0881644
"Bruce Fleisher"	0.0878427
Waxman	0.0878352
DiPietro	0.087665
Paulson	0.0876618
"Earnhardt Jr."	0.08729
Setzer	0.0864658
Farber	0.0859458
beamer	0.0858668
Mustafa	0.0854733
Biffle	0.0851401
Hirsch	0.0849306
Meeks	0.0842325
Longo	0.0834485
Griffiths	0.0829472
Wetherell	0.0825946
Snead	0.082396
Scelzi	0.0823093
Romer	0.0815111
Dougherty	0.0814005
Conner	0.0810194
Moreno	0.0810018
Ratliff	0.0809218
Nicklaus	0.080716
"Gil Morgan"	0.08056
Malu	0.0801534
Gauthier	0.080064
Lessig	0.0795314
Passarella	0.0795174
McDOWELL	0.0791693
"Jim Colbert"	0.0791534
Vasquez	0.0790666
Kenyon	0.0784728
Gogel	0.0777089
BEGAY	0.0775013
Silverstein	0.0774098
Cink	0.0772524
Maruyama	0.0771774
Percival	0.0765439
Wolfson	0.076453
Hickman	0.076313
Reiner	0.0762974
O'Sullivan	0.0762236
Baum	0.0759958
Hoch	0.0758717
Talebi	0.0755308
Jaffe	0.0754138
Edelman	0.0751373
Capps	0.0748771
Stricker	0.0746934
Rankin	0.0744654
Samuelson	0.0740547
McConnell	0.073651
nance	0.0735085
Hyman	0.0730391
Margolis	0.0729896
"Van Roost"	0.0728215
Bingham	0.0724899
Eubanks	0.072486
Ferrer	0.0722655
Allchin	0.0721564
Solich	0.0718509
Hazen	0.0717377
Pollack	0.0716468
POLK	0.0714305
Finkel	0.0713636
Dee	0.0713416
Guerra	0.0713069
Smyers	0.0711042
Barrett	0.0709013
Grossman	0.0707458
Jovanovic	0.0706675
Pryor	0.0705749
Barlow	0.0704337
McCarron	0.0704204
Fleisher	0.0701289
COYNE	0.0700742
Woodard	0.0700369
Donnelly	0.0699333
"administration official"	0.069894
Mullen	0.0692304
Tapia	0.0692006
Stolle	0.0690347
Azinger	0.0689619
Mayfair	0.0686933
Quintero	0.0686284
Kuehne	0.068566
"Hale Irwin"	0.0684084
Collier	0.0682628
Copeland	0.0682488
Nicol	0.0678877
Jacobsen	0.0676854
Rau	0.0675739
Wyly	0.0674847
Rodionov	0.0672323
Willard	0.0671556
Ikimi	0.0671461
Driscoll	0.0671196
Cowan	0.0670467
Schmid	0.0669447
Cianci	0.0668938
Beasley	0.0668357
Wilhelm	0.0667677
Girard	0.0666139
Joyner-Kersee	0.0665505
Rahal	0.0665195
Cepeda	0.0662161
Stephens	0.0662025
Garces	0.0659736
"Van Raaphorst"	0.0658681
"Isao Aoki"	0.0656818
Irwin	0.0656469
Knowles	0.0652898
McCullough	0.0652726
"A.P Indy"	0.0652373
Gustafsson	0.065199
Mullin	0.0651711
Vogel	0.0651233
Sahadi	0.0649782
Seanez	0.0648328
Billick	0.0647838
Krugman	0.0647496
Kane	0.0647241
Biden	0.0646767
Allard	0.064657
Frankenheimer	0.0646535
Andrade	0.0645724
McGowan	0.0645455
Shamshad	0.064377
Shays	0.0643341
"de Charette"	0.0643113
Dickinson	0.0640389
Herron	0.0639728
Tarver	0.0639089
Kenseth	0.0638714
Moakley	0.0637906
Gilmore	0.0636737
Kite	0.0634626
Tarawneh	0.0634085
Belcher	0.0634006
Zarb	0.0633325
Juppe	0.0632866
Babcock	0.063113
Lungren	0.0630336
Chadwick	0.0630066
Murad	0.0629914
Weisman	0.0629174
Ekeus	0.0629074
Weiner	0.0627185
Zou	0.0626416
Karlsson	0.0626097
Faldo	0.0626018
Sheehan	0.0623937
Brody	0.0622431
"Perez Balladares"	0.0620837
Thurmond	0.0619877
Jelisic	0.0618224
Fieger	0.0617865
Conley	0.0616323
Baugh	0.0615904
Ebersol	0.0615477
Locke	0.0615123
Diouf	0.0614619
Quigley	0.0613916
Whipple	0.0613868
Storr	0.0612904
Parks	0.0612454
Pierson	0.0612263
Rollins	0.0611459
Rosenthal	0.0611203
Greenwald	0.061077
Croshere	0.0610753
Valdez	0.0610666
"David Dreier"	0.0609488
DiCicco	0.0607696
Schrader	0.0606631
Inman	0.0604163
Alioto	0.0602832
Zvereva	0.0602617
"Larry Nelson"	0.0602604
O'Reilly	0.0602311
Hallam	0.0602184
Rosenblatt	0.0602157
Tocchet	0.0601863
Hayden	0.0601517
Magee	0.0601355
Furyk	0.0601334
MURTHA	0.060118
Sadler	0.0601044
Yount	0.0600753
Atler	0.0600631
))
(Colburn (desc 925.357) (sims
Schmalensee	0.361298
Maritz	0.294692
Tevanian	0.288516
Allchin	0.262891
Fassett	0.2525
Myhrvold	0.215971
Felten	0.215456
Barksdale	0.207959
Ratner	0.202986
Turetzky	0.185348
Hamlin	0.168569
Farber	0.162211
Rosen	0.159158
Rossotti	0.156074
Meskini	0.155825
Eizenstat	0.145973
Reimer	0.145617
Kornberg	0.143375
Blumenthal	0.140226
Carrera	0.137527
Bronfman	0.136785
Padilla	0.133445
Jarrell	0.132106
Ickes	0.131822
Gwen	0.131244
Wolfson	0.130127
Azizan	0.129864
McCurry	0.129835
Bisek	0.128829
LaPierre	0.124046
"Anita Hill"	0.121317
Mudge	0.118343
Lacresha	0.118077
Willey	0.116394
Fabius	0.116268
Mohamed	0.113982
Poole	0.113909
Flemmi	0.112876
Hanley	0.11222
Singson	0.109225
Macfarlane	0.108816
Dunleavy	0.108417
Kushner	0.107532
DERSHOWITZ	0.107407
Bakaly	0.106959
Talebi	0.106905
Musa	0.106853
Ritter	0.106799
DiCarlo	0.106577
Zamora	0.106415
Guidry	0.106252
Ivey	0.105174
Pugh	0.105074
Goldin	0.104795
Barshefsky	0.104672
Breuer	0.104527
Stayner	0.104152
Freeh	0.104026
Hersh	0.10387
"Sidney Blumenthal"	0.103834
Lindsey	0.10327
Glaser	0.102966
Hodler	0.102589
Koskinen	0.102281
Shayler	0.101917
Jenoff	0.0991601
O'Neil	0.098376
Rudman	0.0977068
Eubanks	0.0973938
Trulock	0.0968996
Briere	0.0959408
Sutiyoso	0.0959351
Kerasiotes	0.0954764
Monahan	0.0948346
"Vernon Jordan"	0.0947173
Menchu	0.0946555
Steele	0.0946241
Havelange	0.0942786
Cavallo	0.0941706
McDougal	0.0933098
"Eric Holder"	0.0929272
Portnoy	0.0928014
hale	0.0923873
Waxman	0.0918654
Ruehe	0.0915523
Dumas	0.0914516
Podesta	0.0904596
FAWCETT	0.0901782
Berger	0.090065
Nikitin	0.0899334
Elliot	0.0898181
Velayati	0.0897284
Hasan	0.0894956
Kehoe	0.0893686
Butterfield	0.0892043
Currie	0.0890468
Devine	0.0880782
Kimeses	0.0880453
Maurizi	0.0873153
Reichel	0.0867324
Koop	0.0867294
Advani	0.0867035
Gullit	0.0865446
Russert	0.0863788
Kodikian	0.0859605
Alarcon	0.0857442
"Kathleen Willey"	0.085606
Gates	0.0855823
Quigley	0.0852006
Neulander	0.0849284
Constantine	0.0847769
Halloran	0.0843162
Soares	0.0838588
"Cary Stayner"	0.0837547
Harris-Lewis	0.0836494
Sapp	0.0835111
Harr	0.0834944
Reinhardt	0.0834
nix	0.0832788
Lockhart	0.0831053
Riordan	0.0823186
Shelton	0.0823108
Weinstein	0.0821737
Rodionov	0.0821171
Alioto	0.0816852
Schuerholz	0.0814674
hodgson	0.081395
Romer	0.0809983
Sorensen	0.0809778
DONOVAN	0.0807928
"administration official"	0.0807587
Siegel	0.0806336
Haney	0.0805971
Muller	0.0805843
Lari	0.0805817
Burleigh	0.0804167
hoover	0.0803508
Mercurio	0.0802874
Huang	0.0799122
Stroyev	0.0795872
Jovanovic	0.0795701
Vermonter	0.0794575
Ghani	0.0794425
Capano	0.0791885
"Maturino Resendiz"	0.0791547
Neff	0.0789164
Bambang	0.078668
Chung	0.0785979
Ulrich	0.0785574
Mandella	0.0784618
Abdel-Meguid	0.0783558
Kagalovsky	0.0782363
"Bruce Lindsey"	0.0782275
Hauser	0.0780728
Blackthorne	0.0780439
Natale	0.0780237
Hitchens	0.0773361
Lazarenko	0.0773193
Platt	0.0773077
Azizah	0.0770876
Berman	0.0769894
Eisner	0.0767957
Horner	0.0766376
Faget	0.0764184
Quackenbush	0.0756827
Dennehy	0.0756397
Rousseau	0.0756104
PITTS	0.0755459
Monson	0.0753516
Ferris	0.0753205
Odeh	0.0751928
Hindery	0.0751911
Egan	0.0751218
Teresi	0.0749744
Nugent	0.0748249
Allard	0.0746729
Meissner	0.0746717
Maher	0.0746363
Jayakumar	0.0744694
Yoo	0.0744227
Postol	0.0742641
Wasserstein	0.0742348
Trie	0.0742256
Villanueva	0.0741576
Aguirre	0.0741266
Lamberth	0.0740013
Galbraith	0.0738623
McDonough	0.0736614
Zarb	0.0735314
Falater	0.0734272
Milbury	0.0732662
Lundy	0.0732532
Wilhelm	0.0731236
Gangelhoff	0.0730305
Fech	0.0730069
Pape	0.0726798
"Patsy Ramsey"	0.0726243
Rove	0.0725006
downing	0.0724272
Kazhegeldin	0.0724079
))
(Colby (desc 1366.92) (sims
Roquefort	0.0833086
mozzarella	0.082327
Cato	0.0716522
Kohler	0.0665013
Maritz	0.0652619
ricotta	0.0651196
Amherst	0.065085
Murrell	0.0631152
mascarpone	0.0607673
Blackthorne	0.0594248
Wesleyan	0.0593342
tuft	0.0585405
Parmigiano-Reggiano	0.0582564
Dartmouth	0.0566305
romano	0.0560824
Kerrigan	0.0548439
FETA	0.0534244
Fassett	0.0533231
PITTS	0.0528405
Barksdale	0.0521459
Tevanian	0.0517186
UGA	0.051338
Braswell	0.051054
Turetzky	0.0495386
Hubert	0.0493238
Holyoke	0.0488189
Jules	0.048493
Tait	0.0484598
Gibbs	0.0483483
Felten	0.0475856
Steven	0.0475829
Whaley	0.0474687
Webber	0.0473874
timothy	0.0468387
"Level @"	0.0465499
Calipari	0.0455104
jailer	0.0451394
Cassell	0.0451134
Sorensen	0.0449908
Krzyzewski	0.0449106
Schreiber	0.0448648
"Van Horn"	0.0448064
Wenger	0.0446818
"Patsy Ramsey"	0.0444168
Xenia	0.0440776
silber	0.0440673
Fortson	0.0438863
"Shao Yunhuan"	0.0436163
Cronin	0.0430289
Takahashi	0.0429345
Schmalensee	0.0428003
Dorsett	0.041857
Arizmendi	0.0415882
Shalom	0.041371
Divac	0.0413085
Merritt	0.041255
"St. George"	0.0410312
Sandra	0.040999
Judd	0.0409288
Buckingham	0.0407687
Gaynor	0.0406443
"Bob Feller"	0.0406278
Talebi	0.0406135
))
(cold (desc 57161.9) (sims
flu	0.155428
pneumonia	0.136335
infection	0.131653
chill	0.127879
fever	0.127012
weather	0.123565
diarrhea	0.119641
"cold weather"	0.11597
rain	0.11387
temperature	0.112376
bronchitis	0.110524
dehydration	0.109304
asthma	0.108643
heat	0.106737
ailment	0.105354
illness	0.105331
wind	0.104359
headache	0.102954
"sore throat"	0.102806
disease	0.0981933
drought	0.0963705
pain	0.0952743
malnutrition	0.0936913
"food poisoning"	0.0916065
tuberculosis	0.0914486
malaria	0.0911268
fatigue	0.090928
snowstorm	0.0900354
"heat wave"	0.0897518
snow	0.0889138
Exhaustion	0.088044
storm	0.0876656
Meningitis	0.0873655
Depression	0.0873111
sunlight	0.0871576
"heart disease"	0.0866669
leukemia	0.0857856
cough	0.0853408
"high temperature"	0.0848628
nausea	0.0843591
virus	0.0842096
influenza	0.0839192
emphysema	0.0837895
fog	0.0831389
injury	0.0807253
cancer	0.0805698
arthritis	0.0804793
flood	0.0792135
symptom	0.0790429
allergy	0.0783904
downpour	0.0782831
humidity	0.0781375
hypothermia	0.0776079
starvation	0.0774626
sunshine	0.0772093
hunger	0.0771048
Dysentery	0.076971
trauma	0.0768531
"heart attack"	0.0765994
diabetes	0.0760167
"colon cancer"	0.0756131
disorder	0.0754812
darkness	0.075401
cramp	0.0751352
turmoil	0.0749239
hepatitis	0.0743158
"bad weather"	0.0740365
"high blood pressure"	0.0739331
"back pain"	0.0734119
drizzle	0.0733575
stress	0.0723176
syndrome	0.0722225
rainstorm	0.0716041
problem	0.0714639
"heart failure"	0.0711921
shock	0.0711109
shortage	0.0710394
Snowfall	0.070997
diarrhoea	0.0709735
condition	0.0705433
"Lyme disease"	0.0702725
"Parkinson's disease"	0.0698154
Frost	0.0694521
epidemic	0.0692749
vomiting	0.0690511
"lung cancer"	0.0689174
ulcer	0.0687814
recession	0.0685836
measles	0.0684263
HIV	0.0679527
cholera	0.0675246
famine	0.0674516
lightning	0.0668656
"chest pain"	0.0661116
bug	0.0660908
blizzard	0.0660677
sleet	0.0660453
disaster	0.0658696
encephalitis	0.065598
hangover	0.0654298
sun	0.0653727
anxiety	0.0653414
dementia	0.0652557
insomnia	0.0651103
"economic crisis"	0.0648384
"low temperature"	0.0648287
"weather conditions"	0.0645109
sickness	0.0640093
dark	0.0638553
anemia	0.0638367
pollution	0.0636412
Typhoon	0.0636158
tornado	0.0636132
"health problem"	0.063541
ache	0.0633078
earthquake	0.0632599
Thunderstorm	0.0632553
breeze	0.0632207
rainfall	0.0630584
stroke	0.063019
bad	0.0628357
water	0.0628109
"liver disease"	0.0627451
exposure	0.0627257
strain	0.0624522
"hot weather"	0.0622535
complication	0.0621631
downturn	0.0618339
cooler	0.0611707
hypertension	0.0609776
crisis	0.0608189
turbulence	0.0607958
"cold snap"	0.0606727
noise	0.0606322
heartburn	0.0606174
"cardiovascular disease"	0.0605789
trouble	0.0605415
Tb	0.0604126
inhalation	0.0603958
poverty	0.0602869
light	0.0602568
wound	0.0599422
hurricane	0.0599016
dizziness	0.0597971
poisoning	0.0597522
slump	0.0595295
hardship	0.0592422
insect	0.0592421
bruise	0.059216
fracture	0.0590127
schizophrenia	0.0590095
"brain tumor"	0.0588931
air	0.0587488
moisture	0.0584305
gale	0.0584168
inflammation	0.0582283
sore	0.0581595
chaos	0.057815
"multiple sclerosis"	0.057748
fear	0.0577075
crises	0.057418
sun.	0.0572636
weakness	0.0572554
congestion	0.0572178
Osteoporosis	0.0569351
pressure	0.0568159
instability	0.0567714
fluctuation	0.0565985
"air pollution"	0.0565329
climate	0.056525
contagion	0.0564462
bacteria	0.0563795
calamity	0.0562343
rash	0.0562128
violence	0.056173
dust	0.056055
failure	0.0559056
precipitation	0.0558522
erosion	0.055686
aid	0.0554515
shower	0.0554107
hemorrhage	0.055391
pest	0.0553721
"blood clot"	0.0552265
"ice storm"	0.0551658
deficiency	0.0551428
smoking	0.0551316
"infectious disease"	0.0551163
smoke	0.0547583
polio	0.0546978
"rheumatoid arthritis"	0.0544696
malaise	0.0544017
plague	0.0543545
accident	0.0542761
paralysis	0.054146
spell	0.0541321
damage	0.0538479
Haze	0.0537127
Obesity	0.0536397
ICE	0.0535865
))
("cold cuts" (desc 1834.64) (sims
nacho	0.147351
bratwurst	0.12596
"green salad"	0.119062
cracker	0.11658
"peanut butter"	0.115923
"baked goods"	0.115817
sauerkraut	0.113796
quiche	0.11316
sausage	0.110095
"fruit juice"	0.106831
"scrambled egg"	0.106333
salami	0.10602
ham	0.105519
FETA	0.101503
prosciutto	0.100946
"raw vegetable"	0.10029
guacamole	0.0985315
"powdered milk"	0.0970225
"cottage cheese"	0.096081
burgers	0.0938086
pretzel	0.0922381
"roast beef"	0.0914792
"corned beef"	0.09129
"french fries"	0.0895593
pasta	0.0894827
"hot dog"	0.0893752
sushi	0.0883486
"dairy product"	0.0883446
pickle	0.0880953
"canned goods"	0.0872099
Hamburger	0.085394
biscuit	0.085355
mousse	0.0839824
"soda pop"	0.0839067
chorizo	0.082759
frittata	0.0815781
muffin	0.0815315
yogurt	0.0814781
"sour cream"	0.0812408
hummus	0.0808124
"ice cream"	0.0797169
"corn chip"	0.079
soda	0.0783769
mozzarella	0.078084
curd	0.0776698
Cheddar	0.0771872
"spaghetti sauce"	0.0745682
"black olive"	0.0744205
cereal	0.0744041
seafood	0.0731011
mayonnaise	0.0730548
Chili	0.0728291
condiment	0.0727843
olive	0.0719326
"chicken sandwich"	0.0717197
"chicken wing"	0.0716491
pastry	0.0716453
"chicken salad"	0.0710978
dumpling	0.0708295
"cream cheese"	0.0706339
chutney	0.0706022
"foie gras"	0.0700107
lettuce	0.0699405
"French bread"	0.0696434
focaccia	0.0692405
"potato salad"	0.0691771
arugula	0.068685
"goat cheese"	0.0681882
popcorn	0.0660046
brie	0.065854
"iced tea"	0.0658025
ravioli	0.0654568
legume	0.0653506
pancake	0.064436
"cooking oil"	0.0641431
"blue cheese"	0.0636819
salsa	0.0629929
clam	0.0627171
"main course"	0.0622369
"smoked salmon"	0.0620875
margarine	0.0619784
grits	0.0618746
fraiche	0.0615781
crumb	0.061353
noodle	0.0613294
granola	0.0606703
doughnut	0.0604944
caviar	0.06003
"pine nut"	0.0599755
"whipping cream"	0.0599659
asparagus	0.05956
Pate	0.0595529
croissant	0.0594418
croutons	0.0593477
Casserole	0.0592309
ricotta	0.0592234
pastrami	0.058795
rind	0.0585704
shellfish	0.0585137
"lime juice"	0.0572675
spaghetti	0.057195
"milk powder"	0.0568026
"green onion"	0.0567869
brisket	0.0565798
"ground beef"	0.0564325
meatloaf	0.0562512
"egg yolk"	0.0562226
low-fat	0.0559766
Bologna	0.0558912
breadcrumb	0.05574
"cake mix"	0.0550939
"tomato sauce"	0.0549688
"evaporated milk"	0.0549399
"snack food"	0.0546884
chilies	0.0538756
"apple pie"	0.0538121
flan	0.0538106
"chocolate cake"	0.0536033
veal	0.0534593
sardine	0.0530189
"chicken breast"	0.0528546
oatmeal	0.0520584
"pinto bean"	0.0518563
"Caesar salad"	0.0518227
Mayo	0.0517044
appetizer	0.0512627
"cotton candy"	0.0511312
"Worcestershire sauce"	0.050997
avocado	0.0506585
taco	0.0504059
spam	0.0501792
"vanilla ice cream"	0.0498548
veggie	0.0496898
"pepper sauce"	0.0496199
melon	0.0495619
macaroni	0.0494155
"lemon juice"	0.0492796
"orange juice"	0.049249
Twinkies	0.0491667
"vegetable soup"	0.0489693
"sea bass"	0.048835
buttermilk	0.0487459
cheesecake	0.0483315
ketchup	0.0482375
parsley	0.0479053
scallop	0.0478372
horseradish	0.0478191
marshmallow	0.0472969
porridge	0.0467231
"salad dressing"	0.0466841
kebab	0.0464728
gingerbread	0.0464444
bagel	0.0457917
dairy	0.0456634
Gorgonzola	0.0454842
cucumber	0.0452836
Kool-Aid	0.0447037
"macaroni and cheese"	0.0445897
"salad greens"	0.044479
coleslaw	0.0444241
"loaf of bread"	0.0443501
"maple syrup"	0.0443387
"skim milk"	0.0438134
"water chestnut"	0.04379
"brown rice"	0.0433815
procreation	0.0433054
frankfurter	0.0432147
"dried fruit"	0.0429767
Parmesan	0.0428116
shortening	0.0427045
"canned food"	0.0426921
canape	0.0426403
brownie	0.0426135
herring	0.0425914
"green pepper"	0.0422155
"beach ball"	0.0420708
"French toast"	0.041759
Gormley	0.0413327
romano	0.0413177
"black pepper"	0.0410009
"chili powder"	0.0407038
radicchio	0.0404901
Carpaccio	0.0403928
flavoring	0.0403314
"side dish"	0.0403312
TARTARE	0.0401876
half-and-half	0.0400548
))
("cold front" (desc 11346.1) (sims
"warm front"	0.279332
"low pressure"	0.180116
disturbance	0.169964
"air mass"	0.158097
"air current"	0.149295
Thunderstorm	0.148172
"jet stream"	0.139869
"high pressure"	0.130714
storm	0.117195
trough	0.108687
thundershowers	0.108062
Typhoon	0.104612
shower	0.0992414
"cold wave"	0.0974872
"cold snap"	0.0970469
"Hurricane Georges"	0.0879168
breeze	0.0835043
"rain shower"	0.083503
"Hurricane Floyd"	0.0829214
moisture	0.08281
wind	0.0816256
"Hurricane Bonnie"	0.0810219
"oil slick"	0.0805687
"heat wave"	0.0788888
"cold spell"	0.0748628
hurricane	0.0746794
squall	0.0736778
downpour	0.07269
cloud	0.0722644
"La Nina"	0.0721248
"sea breeze"	0.0721149
tornado	0.0708954
"Hurricane Mitch"	0.0707203
cyclone	0.067592
"ocean current"	0.0673918
Mitch	0.0671638
rain	0.0669878
"Hurricane Dennis"	0.0658858
gale	0.0656813
"Hurricane Bret"	0.0647509
rainstorm	0.064121
showers	0.0630297
"market correction"	0.0625143
"cold weather"	0.0619562
chill	0.0612982
"hot weather"	0.060256
Zeb	0.0601912
gust	0.0595491
snowstorm	0.0588167
Snowfall	0.0584254
"trade wind"	0.0579917
sunshine	0.0559323
"low temperature"	0.0556937
"tidal wave"	0.0555138
"hot air"	0.0540378
"earnings report"	0.0539763
Babs	0.0531773
"temperature change"	0.053123
precipitation	0.0528072
"El Nino"	0.0523289
sell-off	0.0512745
"electric current"	0.0511089
crest	0.0502671
monsoon	0.0502189
"high temperature"	0.0501586
humidity	0.0498616
drought	0.0497237
blizzard	0.0496048
"freight train"	0.0495928
temperature	0.0492584
rand	0.0491363
"employment report"	0.0485318
"rain cloud"	0.0482302
"bond price"	0.0474598
heatwave	0.0471379
convoy	0.0469439
"high tide"	0.0464951
hailstorm	0.0462136
wildfire	0.045675
windstorm	0.0455353
cloudiness	0.0452413
"Love Bug"	0.0451898
rainfall	0.045132
"leading edge"	0.0450201
ridge	0.0449451
"Australian dollar"	0.0448381
"Hurricane Hugo"	0.044413
twister	0.0443812
"price increase"	0.04426
temblor	0.0438461
"magnetic field"	0.0436801
plume	0.0435101
mudslide	0.0432956
sandstorm	0.0429177
"Category @"	0.0428958
"brush fire"	0.0424801
Bonnie	0.0424502
seaboard	0.0423472
Floyd	0.042244
slowdown	0.0419552
sharemarket	0.0419442
tempest	0.0418105
peso	0.0417222
"flash flood"	0.0416683
"baby boom"	0.0415162
"consumer demand"	0.0414258
aftershock	0.0413873
"good weather"	0.0413804
Bret	0.0411721
turbulence	0.041056
tide	0.0410216
floodwater	0.0407967
deluge	0.040628
"volcanic eruption"	0.0405282
"pedestrian bridge"	0.0405154
deportee	0.0405136
"dry season"	0.0403801
thaw	0.0403719
downturn	0.0401954
"forest fire"	0.0401204
blackout	0.0401076
riverboat	0.040054
Rains	0.0400441
))
("cold shoulder" (desc 1935.73) (sims
"speeding ticket"	0.105642
fillip	0.0979111
"all clear"	0.0882314
comeuppance	0.0845849
"short shrift"	0.0833511
"bill of health"	0.0832491
smooch	0.0812249
send-off	0.0801924
"positive feedback"	0.0801134
"goose bumps"	0.0768052
"seal of approval"	0.0758162
"blank check"	0.0751507
thumbs-up	0.0729363
sendoff	0.0719173
"cash bonus"	0.0687157
goosebumps	0.0661142
kudos	0.0644293
Lowdown	0.064395
high-fives	0.0640471
"elbow room"	0.0637446
"breathing space"	0.063481
feeler	0.0627823
handout	0.0624348
"bear hug"	0.0619143
breather	0.0607324
succor	0.0605114
"history lesson"	0.0598928
"form letter"	0.0595356
"electric shock"	0.058654
"birthday present"	0.0584132
"clean slate"	0.0578176
facelift	0.0576782
toehold	0.0574876
assent	0.0565035
"progress report"	0.0563363
tranquilizer	0.0562592
go-ahead	0.0555464
"carte blanche"	0.055138
"power of attorney"	0.0549604
pointer	0.0543288
heartburn	0.0542809
"sneak preview"	0.0538244
"free rein"	0.0537623
"green light"	0.0536834
guidepost	0.0536728
spanking	0.0534264
bigger	0.0532932
earful	0.0532667
oomph	0.0531156
"Christmas present"	0.0517742
IOU	0.0506848
"marriage proposal"	0.0506645
whipping	0.0506052
"tax treatment"	0.0504984
counterbid	0.0499525
"human face"	0.0493929
"piano lesson"	0.04913
"screen pass"	0.0486735
"round-trip ticket"	0.0486625
ovation	0.0485454
"Christmas card"	0.0485004
credence	0.0482927
"pain in the neck"	0.0482518
"birthday card"	0.0480896
"bus ticket"	0.0479004
"writer's block"	0.0477143
freebie	0.0476779
inkling	0.0471415
"Hainan Island"	0.0471099
"work permit"	0.0469589
imprimatur	0.0467218
cartwheel	0.0467031
"more than @@@ million dollars"	0.0466162
commendation	0.0465937
"triple play"	0.0465897
"inside track"	0.0465704
"black eye"	0.0463159
reassurance	0.046193
"cash payment"	0.0459133
"one million dollars"	0.0458938
glimmer	0.0458366
plaudit	0.0458035
dispensation	0.0455301
"medical checkup"	0.0453715
TPA	0.0453564
culpa	0.0451519
"breathing room"	0.045048
reprieve	0.0450056
"birthday gift"	0.0449109
"coat of paint"	0.0447083
transfusion	0.0444303
flack	0.0442556
"top billing"	0.0441267
Highness	0.0441258
"belly dancer"	0.0436706
"equity stake"	0.0435517
celeb	0.0434061
"death benefit"	0.0432819
"boarding pass"	0.0432176
accolade	0.0429466
deference	0.0429417
"white person"	0.0428828
entreaty	0.0428453
"gas plant"	0.0428252
obeisance	0.0427906
eye-opening	0.0427142
"inside information"	0.0426493
knighthood	0.0424979
benediction	0.0422238
"a few thousand dollars"	0.0422216
"Legion of Honor"	0.0421585
"Hail Mary"	0.0420542
"sense of direction"	0.0419812
"Quinton McCracken"	0.0417934
"lynch mob"	0.041622
hand-delivered	0.0416016
make-over	0.041531
leniency	0.0415276
"Cuban Americans"	0.0415155
"hard sell"	0.0415089
"membership card"	0.0411259
cross-dresser	0.0410887
hand-me-down	0.0408582
prosthesis	0.0407121
ribbing	0.0404276
"time of day"	0.0404064
"liquefied natural gas"	0.0403589
"Medal of Honor"	0.0403399
"kick start"	0.0402866
corrective	0.0402041
))
("cold snap" (desc 2789.23) (sims
"cold spell"	0.170262
"heat wave"	0.15382
"cold wave"	0.128897
"cold weather"	0.127805
"ice storm"	0.116368
snowstorm	0.1157
rainstorm	0.101593
"market correction"	0.100973
Snowfall	0.10059
"cold front"	0.0970469
heatwave	0.0950455
"flash flood"	0.0943238
temblor	0.0873931
downpour	0.0872837
drought	0.0850298
Frost	0.0834272
deluge	0.0815813
blizzard	0.0813407
devaluation	0.0803174
swoon	0.077242
rainout	0.0754322
"high temperature"	0.0740522
downturn	0.0730773
"temperature change"	0.0721989
mudslide	0.0713669
"employment report"	0.0709588
Typhoon	0.070711
"bear market"	0.069921
turbulence	0.0690753
slowdown	0.0685795
gale	0.0680121
"management shakeup"	0.0678426
tornado	0.0670749
"power failure"	0.0665894
upsurge	0.0663739
windstorm	0.06592
crunch	0.0654542
"high tide"	0.0653324
"weather conditions"	0.0645965
blackout	0.0644748
deforestation	0.0644348
"hot weather"	0.0639949
"market condition"	0.0639273
sandstorm	0.0638533
"nose dive"	0.0633202
sell-off	0.0632494
lull	0.0630941
thaw	0.0630117
firestorm	0.062926
"full moon"	0.062112
"rate increase"	0.0620265
infestation	0.0617346
sickout	0.0611413
"production problem"	0.0609932
"German Open"	0.0604602
"policy change"	0.0603115
"dust storm"	0.0601475
"engine failure"	0.0600699
"basketball season"	0.0598584
"Consumer Electronics Show"	0.0598039
sluggishness	0.059665
"Buick Invitational"	0.0596078
precipitation	0.0595277
depreciation	0.0595027
meltdown	0.0593952
"rate cut"	0.0591959
uptrend	0.0590998
selloff	0.0589337
"low temperature"	0.0587612
"accounting problem"	0.0586628
"rainy season"	0.0581138
hailstorm	0.0580696
sleet	0.0579631
outage	0.057848
"business condition"	0.0577761
downturns	0.0573592
Quake	0.0572833
"French Grand Prix"	0.0572605
deflation	0.0571663
Rains	0.0571585
rash	0.0566092
"bad luck"	0.0565693
"Hurricane Floyd"	0.0564024
"air mass"	0.0562815
minicamp	0.0561132
malfunction	0.0559218
"Bull Run"	0.0559174
"good weather"	0.0557761
drownings	0.0555984
wildfire	0.0553985
"asthma attack"	0.0551234
"Hurricane Bonnie"	0.0546497
gyration	0.0544014
"Hurricane Andrew"	0.0542151
"high water"	0.0542073
landslide	0.0541082
"growing season"	0.0539991
nuptials	0.0538248
eruption	0.0536232
twister	0.0535623
fluctuation	0.0532021
"warm front"	0.0530928
flare-up	0.0528461
closings	0.0528236
disturbance	0.0524943
uptick	0.0524907
spate	0.052294
"rising prices"	0.052252
"takeover battle"	0.0522022
downtrend	0.0520348
"consumer demand"	0.052024
"Hurricane Georges"	0.0518677
"Chinese New Year"	0.051843
rainfall	0.0517852
"brush fire"	0.0516858
"economic condition"	0.0516579
downdraft	0.0516047
shutdown	0.0515802
"price increase"	0.0515008
by-elections	0.0512591
"dry season"	0.0512413
"meteor shower"	0.051109
"liquidity problem"	0.0511062
squall	0.0510945
Zeb	0.0509973
"cash crunch"	0.0509858
monsoon	0.0509411
"nuclear explosion"	0.050837
volatility	0.0507857
"Italian Open"	0.0506595
"proxy fight"	0.0506096
overproduction	0.0505413
gust	0.0505151
"crime wave"	0.0504731
"plant closing"	0.0502915
shakeup	0.0500303
"Hurricane Mitch"	0.0499885
tailspin	0.049964
outages	0.0498969
"hard times"	0.0498899
"management change"	0.0497839
freefall	0.0496382
"baseball season"	0.0495562
"detective work"	0.0495477
"working day"	0.0493991
"price war"	0.0493634
roadshow	0.0493064
"bomb blast"	0.0492503
downsizing	0.0492146
disorientation	0.0490879
aftershock	0.0490634
subsidence	0.0490545
"turn of events"	0.0490126
"budget cut"	0.0489285
spurt	0.04892
letdown	0.0488992
"Dunhill Cup"	0.0487342
breakout	0.0487205
"price cut"	0.0487041
cyclone	0.0484391
influx	0.0483332
"tidal wave"	0.0482606
shakeout	0.0482126
mini-camp	0.0481155
tremor	0.0481141
"price competition"	0.0480624
hailstone	0.0480204
"Buick Classic"	0.048015
upturn	0.0479591
"labor dispute"	0.0478312
dryness	0.0478055
"bankruptcy filing"	0.0477421
"brain drain"	0.0475207
"forest fire"	0.0475002
"atmospheric condition"	0.0474913
humidity	0.0474133
"race riot"	0.0473842
"rate rise"	0.0473675
"AFC Championship Game"	0.0472975
cataclysm	0.0471002
crosswind	0.0470335
"Memorial Tournament"	0.046938
"interest rate increase"	0.0467868
postponement	0.0467679
"Nissan Open"	0.0467546
"Solheim Cup"	0.0466939
"hot flash"	0.0466444
Thunderstorm	0.0464538
shake-up	0.0463944
deceleration	0.0462815
debacle	0.0461867
hypothermia	0.0461366
confluence	0.046011
"earnings disappointment"	0.0460108
realignments	0.0459856
Georges	0.045972
plebiscite	0.0459399
rioting	0.0458166
"Millennium Summit"	0.0457031
boomlet	0.0456271
))
("cold spell" (desc 1613.57) (sims
heatwave	0.187984
"cold wave"	0.179365
"cold snap"	0.170262
"cold weather"	0.146006
"heat wave"	0.135811
"market correction"	0.132032
"power failure"	0.129396
snowstorm	0.126245
rainstorm	0.122967
"flash flood"	0.118221
"asthma attack"	0.110974
sandstorm	0.108633
windstorm	0.108429
"ice storm"	0.106495
downpour	0.106473
downturns	0.102458
Typhoon	0.0961967
calamity	0.0943872
"dust storm"	0.0936641
temblor	0.0921772
Rains	0.0910033
downdraft	0.0893729
"Hurricane Hugo"	0.088438
"temperature change"	0.088366
draught	0.0869017
"forest fire"	0.086044
"cash crunch"	0.085259
"rain shower"	0.0840375
"turn of events"	0.083493
outage	0.0825531
"dry season"	0.0825427
blizzard	0.0812297
lull	0.0803102
"Hurricane Andrew"	0.0800832
blackout	0.079361
Frost	0.0792926
Snowfall	0.0791652
downturn	0.0791603
"acid rain"	0.0791032
misplay	0.0790973
squall	0.0790804
subsidence	0.0789212
flareup	0.0787403
"meteor shower"	0.0783723
deluge	0.0779212
"bear market"	0.0778449
"engine failure"	0.0776799
upsurge	0.077166
monsoon	0.0770859
uptick	0.0770086
hailstorm	0.0768898
Babs	0.0765063
revers	0.0761076
hailstone	0.0760035
"La Nina"	0.0760001
stoppage	0.075747
upturn	0.0756602
cyclone	0.07546
"cold front"	0.0748628
"high temperature"	0.07444
"earnings disappointment"	0.0741279
mixup	0.0737178
shakeup	0.0735978
turbulence	0.0735507
tremor	0.0733863
"Love Bug"	0.0733798
sell-offs	0.0733428
falloff	0.0730901
"bank failure"	0.0728825
"food poisoning"	0.0727731
"ice age"	0.0723321
"rate rise"	0.0720775
"dengue fever"	0.0717156
uptrend	0.0716736
outflow	0.0716609
defoliant	0.071331
"solar eclipse"	0.0713179
pandemic	0.071301
relapse	0.0711253
sunburn	0.0706313
"high tide"	0.0702781
rationing	0.0701146
"Up to @ inches"	0.0700314
hiccup	0.069984
shakeout	0.0699661
rainfall	0.0696623
"air current"	0.0696215
"good weather"	0.0695276
"mental disorder"	0.069405
downtrend	0.0692124
swoon	0.0683466
aftershock	0.0675528
twister	0.0674697
Zeb	0.0673724
drop-off	0.0672487
"liquidity problem"	0.0672088
"price increase"	0.066635
residual	0.0663923
"El Nino"	0.0659272
"back pain"	0.0657484
infestation	0.0655481
updraft	0.0650386
"small change"	0.0647124
"crime wave"	0.0645938
foul-up	0.0645902
warmest	0.0641699
fluctuation	0.0639456
famine	0.0635753
malfunction	0.0635175
"price cut"	0.0632065
"Lyme disease"	0.0630705
conflagration	0.0627434
gust	0.0627053
"employment growth"	0.0626861
"business cycle"	0.062658
migraine	0.0626397
cataclysm	0.0625
"ocean current"	0.0623285
eruption	0.0619981
"water pollution"	0.0619813
detonation	0.0617987
adenovirus	0.0617021
dementia	0.0615959
tailspin	0.0615646
"Hurricane Georges"	0.0614492
menopause	0.0613574
mudslide	0.0613511
"more than @@.@ billion yuan"	0.0612569
"panic attack"	0.0612122
walkout	0.0610499
"identity crisis"	0.0608793
smog	0.0606094
spurt	0.0605845
battering	0.0605421
hyphen	0.0605347
selloffs	0.0602608
precipitation	0.0601813
contagion	0.0600346
"news event"	0.059865
interruption	0.0598502
"work stoppage"	0.0596767
"brush fire"	0.0594347
outages	0.0593011
sell-off	0.0592843
flare-up	0.0588304
aftereffect	0.0587827
"heart failure"	0.0584974
"price change"	0.0584477
"liver disease"	0.0583511
disorientation	0.0583036
"hot weather"	0.0582254
mishap	0.058049
poisoning	0.0578487
meltdown	0.0576614
off-day	0.0576587
"weather conditions"	0.0574984
landslide	0.0574805
"crash landing"	0.0574532
downslide	0.0573873
"gestation period"	0.057285
"free radical"	0.057252
Stinger	0.0565847
"chest pain"	0.0565811
heartburn	0.0565393
malformation	0.0564991
"nuclear explosion"	0.0564803
"rise to power"	0.0563274
diarrhea	0.0562952
encephalitis	0.0562715
breakout	0.0562056
layover	0.0557776
"rate increase"	0.0557016
"market condition"	0.0556134
"bomb blast"	0.0555552
anemia	0.0555176
"rate cut"	0.0554851
contraction	0.0553831
derailment	0.0553204
Seizinger	0.055309
MDMA	0.055272
deceleration	0.0552597
spillage	0.0551231
fibrillation	0.0551185
"nose dive"	0.055002
cryptosporidium	0.0548307
"change of direction"	0.0547526
"dust bowl"	0.0547284
Mitch	0.0547095
outperformance	0.0547061
"price reduction"	0.0545102
nearsightedness	0.0541554
deforestation	0.0540656
turnabout	0.0540562
"volcanic eruption"	0.0540545
rainout	0.0538367
constipation	0.0537943
hemorrhage	0.0537834
retrenchment	0.053761
inundation	0.0536737
"warm front"	0.0536227
))
("Cold War" (desc 46230.8) (sims
"World War II"	0.12937
war	0.112477
"Vietnam War"	0.103725
"civil war"	0.103673
"Korean War"	0.094102
"World War I"	0.0884941
Soviet	0.0838082
conflict	0.0786357
"Persian Gulf War"	0.0764809
era	0.0737286
"world war"	0.0733358
crisis	0.0728845
"Second World War"	0.0721039
"Revolutionary War"	0.0714159
apartheid	0.0696482
revolution	0.0680284
battle	0.0673236
Balkan	0.0664176
communism	0.064546
struggle	0.0640453
confrontation	0.0634028
boom	0.0627208
recession	0.0619043
holocaust	0.0617546
Watergate	0.0614844
wartime	0.0610338
Depression	0.0605098
rivalry	0.0592818
"arms race"	0.0589317
turmoil	0.0587751
century	0.0584849
dictatorship	0.0584042
"bull market"	0.0580235
tension	0.0578826
"Great Depression"	0.0576363
standoff	0.0574864
colonialism	0.057005
bloodshed	0.0559595
"Cultural Revolution"	0.0558014
"Iran-Iraq War"	0.0553382
lockout	0.054198
simmering	0.0534934
slavery	0.0533033
occupation	0.0529304
strife	0.0520745
famine	0.0519483
"gold rush"	0.0516267
"economic crisis"	0.0513014
high-stakes	0.0506651
scandal	0.0504748
"industrial revolution"	0.0504426
Israeli-Palestinian	0.0502221
warfare	0.050069
hostility	0.0499119
chaos	0.0495286
segregation	0.0494562
movement	0.0492006
combat	0.0488457
"Soviet Union"	0.0481232
upheaval	0.0480579
invasion	0.0479043
unrest	0.0477606
controversy	0.0471606
"rainy season"	0.0471015
feud	0.0469948
renaissance	0.0467617
violence	0.0467041
detente	0.0464922
politics	0.0463488
uprising	0.0463131
crises	0.0461191
breakup	0.0461058
fighting	0.0460619
reign	0.046025
epidemic	0.0456492
"price war"	0.0456153
"Middle East"	0.0453519
mounting	0.0453153
poverty	0.0452722
regime	0.0451497
stalemate	0.0449396
disaster	0.0449359
dynasty	0.0447825
instability	0.0447515
globalization	0.0446562
drought	0.0443258
Childhood	0.0442367
insurgency	0.0442022
clash	0.0440968
riot	0.0436009
tenure	0.0434925
disintegration	0.0433697
terrorism	0.0432508
rebellion	0.0430727
"football season"	0.0430633
superpower	0.0428936
turbulence	0.0427862
Vietnam	0.0424541
tragedy	0.0424096
embargo	0.0424017
negotiation	0.0423052
millennium	0.0417811
ordeal	0.0413072
"late @@@@s"	0.0412932
racism	0.0412875
isolation	0.0412053
catastrophe	0.0411363
defining	0.0410651
heyday	0.0410573
terror	0.0410394
bombing	0.0409197
aggression	0.0408227
calamity	0.0406096
Balkans	0.0405816
mid-@@@@s	0.0404359
stagnation	0.0402451
))
("cold wave" (desc 1735.01) (sims
heatwave	0.205722
"cold spell"	0.179365
hailstorm	0.137126
"cold snap"	0.128897
"flash flood"	0.118412
sandstorm	0.118336
gale	0.112996
"cash crunch"	0.11258
"heat wave"	0.111702
"cold weather"	0.111013
snowstorm	0.11006
Typhoon	0.103615
"cold front"	0.0974872
"Hurricane Andrew"	0.0970281
downpour	0.095996
Babs	0.0950514
downdraft	0.0944612
rainstorm	0.0941802
temblor	0.0940209
Snowfall	0.0920174
"dengue fever"	0.090673
"air mass"	0.0906101
blizzard	0.0901298
windstorm	0.0896561
"ice storm"	0.0884305
"market correction"	0.0857465
cyclone	0.0848563
"temperature change"	0.0837639
"dust storm"	0.0833279
"forest fire"	0.0811306
"liquidity problem"	0.0809884
"warm front"	0.080801
tornado	0.0801129
"power failure"	0.0789281
mudslide	0.0786148
Rains	0.0779943
"crop failure"	0.0778601
"air current"	0.0766405
"weather conditions"	0.0760747
"Dhaka Stock Exchange"	0.0751886
famine	0.0746021
"Hurricane Bonnie"	0.0745534
"asthma attack"	0.0740161
canker	0.0735902
outage	0.0722631
Thunderstorm	0.0714963
"food poisoning"	0.0709635
"acid rain"	0.0701761
Mitch	0.0697697
rollovers	0.0697039
Zeb	0.0696634
"La Nina"	0.0693402
lightening	0.0691183
monsoon	0.0686211
"dry season"	0.0681607
"low temperature"	0.0677458
"brush fire"	0.0675339
"Hurricane Hugo"	0.0672866
"Love Bug"	0.067244
tremor	0.0671294
squall	0.0670481
deluge	0.0666279
"engine failure"	0.0653829
permafrost	0.0644422
twister	0.0639944
upturn	0.0637733
draught	0.0635916
aftershock	0.0633428
contagion	0.06299
"high temperature"	0.0627904
"Tommi Makinen"	0.0626874
Frost	0.0620973
turbulence	0.0613984
nearsightedness	0.0608028
"trade wind"	0.0606966
downturns	0.0606953
"rain shower"	0.0606066
BSF	0.060377
exterminator	0.0591589
rotavirus	0.0590078
crosswind	0.0589831
downslide	0.0589625
"employment growth"	0.0588811
"volcanic eruption"	0.0585436
"price competition"	0.0584963
"Hurricane Georges"	0.0580676
"plant disease"	0.0580299
"foot-and-mouth disease"	0.057993
mishap	0.0578017
"low pressure"	0.0577024
dryness	0.0576799
"sonic boom"	0.0571822
landslide	0.0569133
flu	0.0568252
"work stoppage"	0.0566758
Haze	0.0566121
"passenger ship"	0.056578
apnea	0.056265
meltdown	0.0562147
"race riot"	0.0559355
influenza	0.0559296
agitation	0.0555484
Springbok	0.0554869
rationing	0.0554669
tern	0.0552752
pandemic	0.0552327
scarcity	0.0551276
wildfire	0.0550679
defoliant	0.0550583
Seizinger	0.0549158
desertification	0.0548942
"price pressure"	0.0544612
fluctuation	0.0544069
floodwater	0.0543697
"bankruptcy filing"	0.0542026
oscillation	0.0541703
relapse	0.0539717
firestorm	0.0538959
floodwaters	0.053785
uptrend	0.0535112
unionization	0.0535002
"heart failure"	0.0533327
precipitation	0.0531949
encephalitis	0.053174
"ocean current"	0.0531323
menopause	0.0530571
whiplash	0.053057
diarrhea	0.0530458
sickout	0.0530033
derailment	0.0525895
"meteor shower"	0.0524225
flareup	0.0521007
warming	0.0520717
subsidence	0.0517653
hailstone	0.0516816
tundra	0.0515647
sleet	0.0512575
infestation	0.0511376
"crime wave"	0.0510999
"Hurricane Mitch"	0.0509528
"Tyler Houston"	0.0509308
coldness	0.050709
rainout	0.0505922
migraine	0.0505603
"hue and cry"	0.0504351
spasm	0.0503483
"bank failure"	0.0501716
"El Nino"	0.0500663
calamity	0.0498472
sunburn	0.0498216
"bear market"	0.0497893
walkout	0.0494642
"Greek Orthodox Church"	0.0494489
contraction	0.0490824
downtrend	0.0490397
blackout	0.0489961
"economic condition"	0.0489204
conflagration	0.0487715
MiG-@@s	0.0487629
"commuter train"	0.048721
malnutrition	0.0486908
depreciation	0.048611
"mental disorder"	0.0485876
lawlessness	0.0485827
"oil slick"	0.0484452
deforestation	0.0484202
deceleration	0.0482421
"atmospheric condition"	0.0480405
"rate rise"	0.04786
CJD	0.0478592
"passenger train"	0.0477493
mania	0.0475978
flare-up	0.0475393
fracas	0.0473977
blockage	0.047332
"Hurricane Floyd"	0.0473258
rustling	0.0473101
"soil erosion"	0.0472749
constipation	0.0472306
inflammation	0.0472304
tailspin	0.047227
"nose dive"	0.0472109
stoppage	0.0471799
overproduction	0.0469041
outages	0.0468121
"price reduction"	0.0466117
"nuclear-powered submarine"	0.0466025
breakage	0.0465933
hearse	0.046571
"New Democrats"	0.0465432
deflation	0.0464637
disorientation	0.0463983
"contagious disease"	0.0463001
Georges	0.0461074
warplane	0.0460127
epiphany	0.0459995
"solar wind"	0.0459584
thunderbolt	0.0458189
tempest	0.0457995
rumour	0.0457949
))
("cold weather" (desc 9854.85) (sims
"hot weather"	0.163645
"cold spell"	0.146006
heatwave	0.133239
"cold snap"	0.127805
weather	0.12681
"bad weather"	0.125811
Snowfall	0.123527
"heat wave"	0.122021
"low temperature"	0.120494
drought	0.120087
cold	0.11597
snowstorm	0.115733
downpour	0.114547
"cold wave"	0.111013
"weather conditions"	0.109828
"high temperature"	0.107716
Typhoon	0.107513
rain	0.104396
blizzard	0.103517
"crop failure"	0.103242
sandstorm	0.101046
rainstorm	0.100698
monsoon	0.100106
flood	0.0983333
rainfall	0.0947537
tornado	0.0902387
turbulence	0.0893461
hailstone	0.0891864
"good weather"	0.0884309
fog	0.0873028
"La Nina"	0.0869751
"acid rain"	0.0869495
snow	0.0868428
temperature	0.0868194
Frost	0.0860191
"soil erosion"	0.0858827
"food poisoning"	0.0858
downturn	0.0843251
"flash flood"	0.0841279
"forest fire"	0.0839875
shortage	0.0831412
sleet	0.0828875
slowdown	0.0828201
dryness	0.0824742
sunshine	0.0814876
famine	0.0814612
humidity	0.0811991
outages	0.0803177
calamity	0.0799038
"power failure"	0.0792915
"ice storm"	0.0792616
winter	0.0770121
instability	0.0766635
crunch	0.0763352
"El Nino"	0.0756702
flu	0.0756693
flooding	0.075616
volatility	0.0755257
wind	0.0755074
hailstorm	0.0753773
malnutrition	0.0752666
Thunderstorm	0.0745209
smog	0.074225
hypothermia	0.0739687
lightning	0.073958
deflation	0.0736055
cyclone	0.0731554
scarcity	0.0730719
turmoil	0.0726367
gale	0.0723087
glut	0.0716149
"dry season"	0.0714232
"rainy season"	0.0711476
cholera	0.0711053
"economic crisis"	0.0708526
influenza	0.0705303
chill	0.0705236
climate	0.0700405
drizzle	0.0698519
"market condition"	0.0698472
"rising prices"	0.0695349
"writer's block"	0.0693045
mudslide	0.0691115
Haze	0.0690593
"high tide"	0.0687261
desertification	0.0684124
recession	0.0681646
earthquake	0.067354
deforestation	0.0671658
Rains	0.0670989
"price increase"	0.0670416
"rain shower"	0.0668859
"high water"	0.0667998
hurricane	0.0662447
"economic condition"	0.0655694
sunlight	0.0652952
precipitation	0.0652263
"air pollution"	0.0650701
infestation	0.0649908
Exhaustion	0.06499
crises	0.0649127
outbreak	0.0649074
unrest	0.0648545
Babs	0.0647412
devaluation	0.064023
depreciation	0.0631717
influx	0.062991
diarrhea	0.0629882
wildfire	0.0629084
"volcanic eruption"	0.0626646
deluge	0.0625361
adversity	0.0623351
rationing	0.0623007
blackout	0.0622137
"cold front"	0.0619562
poisoning	0.0618132
dehydration	0.0617609
hunger	0.0615268
overproduction	0.0614521
epidemic	0.0610064
"cost cutting"	0.0608687
squall	0.0607459
fluctuation	0.0604104
"cash crunch"	0.0602814
windstorm	0.0598531
cutback	0.0594718
deterioration	0.0592457
landslide	0.0591003
pollution	0.0590995
starvation	0.0590463
fatigue	0.0587311
malaria	0.0586488
pandemic	0.0584831
uncertainty	0.0583109
disturbance	0.0581879
"Hurricane Georges"	0.0580273
oversupply	0.0580015
tsunami	0.0579608
overcapacity	0.0577665
congestion	0.0575882
"Hurricane Floyd"	0.0575765
disaster	0.0574902
"dust storm"	0.057435
inflation	0.0572028
twister	0.0571872
"Hurricane Andrew"	0.0571225
disruption	0.0567661
hyperinflation	0.0567224
degradation	0.0566277
erosion	0.0564741
moisture	0.0563592
shortfall	0.0563559
hardship	0.0559726
"labor market"	0.0558175
"oil price"	0.0558015
outflow	0.0557385
"price competition"	0.0557355
dementia	0.0555765
"Hurricane Hugo"	0.0553991
unemployment	0.0552527
glitch	0.055202
upheaval	0.0549536
"blood clot"	0.0548131
"rapid growth"	0.0546299
coldness	0.054627
Depression	0.0545453
migraine	0.0543435
floodwaters	0.0543346
"market correction"	0.0543294
bronchitis	0.0542469
gridlock	0.0541102
"water pollution"	0.0540664
Mitch	0.0540158
fallout	0.053686
"liquidity problem"	0.0536168
"Hurricane Mitch"	0.0535811
"environmental condition"	0.0535017
Quake	0.0532342
slush	0.053126
weakness	0.0528638
gust	0.0525664
"low pressure"	0.0524004
illness	0.0523986
locust	0.0523537
exposure	0.0522429
stagnation	0.0521783
catastrophe	0.0521751
asthma	0.0520366
"tidal wave"	0.0519725
phenomenon	0.0519467
gangrene	0.0516408
chaos	0.0516408
"infectious disease"	0.0516349
paralysis	0.0515805
overdose	0.0515702
insecurity	0.0515099
tremor	0.0514262
"plant disease"	0.0513138
pest	0.0512919
fever	0.0511301
))
(coldness (desc 2425.23) (sims
cordiality	0.0608368
harshness	0.0567954
shortsightedness	0.0561519
deprivation	0.0559851
"cold weather"	0.054627
permissiveness	0.0545098
softness	0.054273
warming	0.053464
inattention	0.0532946
blackness	0.0510441
apathy	0.0508287
"cold wave"	0.050709
vastness	0.0494562
fragility	0.0494452
timelessness	0.0493644
fluidity	0.0489254
gentleness	0.0488448
frostbite	0.0486223
Exhaustion	0.0483227
underdevelopment	0.0479749
subtext	0.0475999
coolness	0.0474789
draught	0.047081
malnutrition	0.0462141
emptiness	0.0457709
dryness	0.0454743
homelessness	0.0451959
myopia	0.0451251
"crop failure"	0.0449174
oscillation	0.044911
swelling	0.0445138
numbness	0.0441657
bleakness	0.043399
inertia	0.0432973
idiosyncrasy	0.0431858
scarcity	0.0429519
joblessness	0.0429427
immaturity	0.0425305
dehydration	0.0424663
perfectionism	0.0415771
quirkiness	0.041574
"cold spell"	0.041418
finality	0.0413903
sharpness	0.0413185
slowness	0.0412714
immensity	0.041185
loneliness	0.0411267
inequality	0.040029
))
(Cole (desc 14727.4) (sims
Yorke	0.16669
Coles	0.116888
"Phil Coles"	0.0967651
Gayle	0.0855656
Mukora	0.084661
DeFrantz	0.0846194
Harris	0.0806095
Ganga	0.0779577
Wright	0.0769667
Rosenberg	0.0755789
Mahoney	0.0750253
Gosper	0.0748809
Rosenthal	0.074801
Daniels	0.0746867
Mitchell	0.0745037
Blake	0.0744609
Goldstein	0.0741476
Evans	0.0740211
Olson	0.0740143
Kelly	0.0738654
Ferguson	0.0735753
Hart	0.0732613
Hoffman	0.0731369
Vogel	0.0728876
Woodard	0.0724184
Gonzales	0.071954
Fagan	0.0718845
Berger	0.0716202
Brock	0.0715868
Zola	0.0714264
Lee	0.0714021
Payne	0.0711103
Hodler	0.0710826
Shearer	0.07087
Parker	0.0707008
Thomas	0.0705414
Hanna	0.0704126
Travis	0.0702974
Lyons	0.0699764
smith	0.0699647
Sharma	0.0698461
fisher	0.0698346
Carey	0.0698039
Davies	0.0695805
Bhutto	0.0692768
Kim	0.0691089
Coleman	0.0689416
Campbell	0.0687423
Talebi	0.0685567
Hanley	0.0681313
Brooks	0.0681183
Stevens	0.068016
Carter	0.0676421
Copeland	0.0675378
Morse	0.0674311
Macdonald	0.0672929
Donohue	0.0672173
Levin	0.0671891
Davis	0.066984
Saunders	0.0669506
murphy	0.0668833
Shapiro	0.0667292
Barrett	0.0667218
Wiggins	0.0666615
Richardson	0.0661546
Iglesias	0.0659202
Goldberg	0.0658017
Dion	0.0656727
Miller	0.0655016
Berenson	0.0654304
Midler	0.0654008
Meissner	0.0653795
Hoffa	0.0653535
Moeller	0.065299
Rogers	0.0652721
Walsh	0.0650685
"Teddy Sheringham"	0.0649719
Anthony	0.0649271
Segal	0.0647244
Rivera	0.0646934
Hopkins	0.0644791
Jackson	0.0643444
Skakel	0.0643364
Quackenbush	0.064328
Markovic	0.064249
Powell	0.0642485
James	0.0640548
Anderson	0.0640159
Allen	0.0639513
Ackerman	0.0638219
Phillips	0.0638218
Leigh	0.0637488
Flores	0.0637397
Crawford	0.0636993
McLachlan	0.0636257
Huang	0.0636163
Armstrong	0.0635635
Hawkins	0.0634083
Roberts	0.0632362
Elliott	0.063157
Simon	0.063126
Mcbride	0.0630847
Schwartz	0.0630662
Rodriguez	0.0630166
Woodward	0.0630125
Hickman	0.0629662
Osborne	0.062966
Johnson	0.0629492
Wilson	0.06289
Ellison	0.0628839
Beckham	0.0628666
Carroll	0.0628486
Newman	0.062699
Richards	0.0626398
Jaffe	0.0626367
McKinney	0.0626093
Scholes	0.0624755
Ramos	0.0624605
Weizman	0.0624426
Grossman	0.0624024
Simpson	0.0623824
Lowry	0.0623427
Gibson	0.0622591
Gonzalez	0.0620784
Scott	0.0620309
Edwards	0.0620051
Prewitt	0.0617018
Quinn	0.0616742
Taylor	0.0615803
collins	0.061575
Sheedy	0.0614717
Coates	0.0613891
Mann	0.0613882
Nichols	0.0613719
Levine	0.0613498
Nelson	0.0613452
Williams	0.061336
Reilly	0.0612661
Jenkins	0.0612032
Bowden	0.0611838
Sullivan	0.0611759
Molinari	0.0611514
Myers	0.0611506
Keating	0.0611423
Symons	0.0611343
Atwood	0.0610152
Adams	0.0609838
Johnston	0.0607735
Lundy	0.0607187
Cooper	0.0606461
Weiner	0.0606172
Bowen	0.0604723
Tobin	0.0604688
Holmes	0.0604608
Welch	0.0604537
Moore	0.0604494
Richard	0.0604129
Kaplan	0.060399
Jarvis	0.0603863
Callaghan	0.0603847
Kennedy	0.0603489
Laudrup	0.0603126
Brister	0.0602962
Kang	0.0601624
Woodson	0.0601604
Rashid	0.0600896
Cline	0.0600406
Jones	0.060038
Verney	0.0600226
Schneider	0.059994
Bennett	0.0599456
Mills	0.0598179
Reiner	0.059735
Ramsey	0.059611
McCurry	0.0595339
Bowers	0.0594606
Rubinstein	0.0594113
Walton	0.0593989
Lieberman	0.0593892
Vasquez	0.0593611
Craig	0.0593536
Hess	0.0593294
xu	0.0592643
Stewart	0.0592186
Peterson	0.0591552
Brennan	0.0589576
Nicholas	0.0588741
Sims	0.0588552
Jimenez	0.0588373
Simons	0.05881
Coia	0.0587957
Crenshaw	0.0587567
Ross	0.0587482
O'Neil	0.0587275
Daniel	0.058724
Rao	0.0587025
Howard	0.0586926
Bruce	0.0586703
Trevi	0.0586326
Morrison	0.05861
))
("Cole Porter" (desc 3640.14) (sims
"Irving Berlin"	0.305695
"Stephen Sondheim"	0.183354
"George Gershwin"	0.183318
Ellington	0.156819
"Aaron Copland"	0.14465
"Tin Pan Alley"	0.135882
Sondheim	0.133328
"Leonard Bernstein"	0.127858
Hammerstein	0.125564
"Woody Guthrie"	0.118704
Rodgers	0.118398
"Andrew Lloyd Webber"	0.11813
Gershwin	0.116307
Wildhorn	0.101436
"Duke Ellington"	0.0957482
"Patsy Cline"	0.0945617
"Lloyd Webber"	0.0890839
"Paul Simon"	0.0803908
"Beach Boys"	0.0798135
"Bob Dylan"	0.07957
"Billie Holiday"	0.0793646
Porter	0.0751245
"Hank Williams"	0.0748196
"Randy Newman"	0.0721563
"Bing Crosby"	0.0710436
uptempo	0.0701828
"Dean Martin"	0.0695146
Motown	0.0679541
Vivaldi	0.0674322
"Charlie Parker"	0.0667884
Copland	0.0653699
Stravinsky	0.064551
"Judy Garland"	0.0643764
LaChiusa	0.0641277
"Miles Davis"	0.0622828
Sinatra	0.06197
Guthrie	0.0615856
"humpback whale"	0.0612408
"Elvis Costello"	0.061069
"Herman Melville"	0.0610429
Bernstein	0.0608101
Beatles	0.060746
"Fred Astaire"	0.0602661
Shostakovich	0.0597842
"Count Basie"	0.0594225
"Bob Fosse"	0.0592046
"Star-Spangled Banner"	0.0572987
"F. Scott Fitzgerald"	0.0572709
"Burt Bacharach"	0.0569053
Beethoven	0.0561416
"George Bernard Shaw"	0.0558125
Dylan	0.0557619
"Noel Coward"	0.0557394
"Jimi Hendrix"	0.0551301
Tchaikovsky	0.0546601
"Philip Glass"	0.0540341
Schubert	0.0535017
Ravel	0.0534128
"Louis Armstrong"	0.0530325
"Henry James"	0.0530223
"Bob Marley"	0.0527477
"Frank Sinatra"	0.0520618
"William Shakespeare"	0.0518455
calypso	0.0515974
"Neil Simon"	0.0514133
"Langston Hughes"	0.0512582
"Charles Lindbergh"	0.0510007
"Bruce Springsteen"	0.0505652
bebop	0.0503209
"Truman Capote"	0.0500619
"Van Halen"	0.0497231
Bellini	0.0494871
"big band"	0.0494139
"Elton John"	0.0490485
"Alfred Hitchcock"	0.0486782
"Nat King Cole"	0.0482266
Selena	0.0474577
Melville	0.0469002
"Elvis Presley"	0.0461309
"old country"	0.0460039
"Stevie Wonder"	0.0457008
"George Orwell"	0.0451047
"Marvin Gaye"	0.0446522
"Oscar Wilde"	0.0444467
Mahler	0.0443146
"Willie Nelson"	0.0441724
Metallica	0.0439629
"J.D Salinger"	0.0438409
Springsteen	0.0436011
"Emily Dickinson"	0.0434756
Nietzsche	0.0431358
"Anne Frank"	0.0427443
"Pink Floyd"	0.0425628
Weill	0.0425238
Liszt	0.0422506
Harbison	0.0422481
"R&AMP;B"	0.0422417
honky-tonk	0.0421022
Phish	0.0420622
"Benny Goodman"	0.0417112
"Frank Wildhorn"	0.0412983
REM	0.0409595
troubadour	0.040826
"Fleetwood Mac"	0.0407847
Schoenberg	0.0406147
Goethe	0.0405692
Seuss	0.0403602
))
(Coleman (desc 11420.4) (sims
Hanley	0.0875236
Goldstein	0.0866025
Welch	0.0846336
Dowd	0.0822022
Elliott	0.0820708
fisher	0.0804326
Sharma	0.0790046
Johnson	0.0788313
Hamlin	0.0779424
Pfeiffer	0.0773956
smith	0.0773047
Dixon	0.0769333
Kagalovsky	0.0767685
Simmons	0.0764041
Flores	0.0762851
Peterson	0.0761357
Mason	0.0751216
Gomez	0.0749885
Goldberg	0.0749819
Phillips	0.0748802
Trevi	0.0748731
Berenson	0.0747936
Henley	0.0747804
Nichols	0.0746795
Merlino	0.0743862
Robinson	0.0742799
Chung	0.0739864
Gravano	0.0735992
Edwards	0.0734875
Oakley	0.0732868
Evans	0.0731359
Ickes	0.0730385
DeFrantz	0.0728531
Nikitin	0.0726369
Schwartz	0.0726346
Henderson	0.0724018
Kaplan	0.0722398
Taylor	0.0720645
Campbell	0.07172
Cisneros	0.0713734
Gonzalez	0.0713414
Carter	0.0712563
Mitchell	0.0709374
Hubbell	0.0707738
WARRICK	0.0707575
Hawkins	0.0706344
Fagan	0.0705442
Malone	0.0705359
Weil	0.0705324
Hersh	0.0703899
Webber	0.070384
Davis	0.0703248
Woodard	0.0702997
Richardson	0.0702054
Bryant	0.0702024
Holdsclaw	0.0701656
Rodriguez	0.0700368
Blumenthal	0.0698957
Roberts	0.0698687
Simpson	0.0697757
Ellis	0.0697338
Carroll	0.0697156
Underwood	0.0696839
Chapman	0.0695209
Cleary	0.0694969
Messier	0.0693295
Symington	0.0691925
Botha	0.0690192
Anderson	0.0690115
Garcia	0.0689908
Jones	0.0689631
hale	0.0689558
Cole	0.0689416
Steele	0.0688863
Bakaly	0.068867
Huang	0.0686945
Cruz	0.0686001
Capano	0.0684985
Ghani	0.068421
Bowman	0.0683789
Olajuwon	0.0682945
"Van Exel"	0.068274
Finkel	0.0682577
Valenzuela	0.0682321
Murray	0.0681927
petty	0.0681643
Daniels	0.0681121
Barnes	0.0680654
Bennett	0.0680562
martin	0.0680523
Francis	0.0679896
"Derrick Coleman"	0.067876
Farber	0.0678666
Maddox	0.0676658
Robison	0.0676105
BENSON	0.0675974
Morris	0.0674621
Jenkins	0.0674458
Sanders	0.0674078
Lyons	0.0673959
Moran	0.0673819
Meissner	0.0672822
Reilly	0.0672813
Owens	0.0671749
Holmes	0.0669629
Hernandez	0.0668604
Smits	0.0665842
Weizman	0.0664913
Hoddle	0.0664876
Mullin	0.0664854
turner	0.0664658
drake	0.0663477
Ivey	0.0663448
DeBartolo	0.0662815
Gritz	0.0662341
Scott	0.0661993
McDyess	0.0660712
Rosen	0.0660272
Robertson	0.0658933
Kerr	0.0658629
Allen	0.0658482
Lee	0.0658458
Kendall	0.0658445
Lopez	0.0658224
Baker	0.0655913
collins	0.0655247
Hoffman	0.0654828
Mitnick	0.0653669
Kurtz	0.0653246
Blake	0.0652233
McKinney	0.0651654
Kelso	0.0651515
Parker	0.0650761
Diaz	0.0650579
Stephens	0.065041
Feldman	0.0649855
Ganga	0.0649682
Faget	0.0646471
Perez	0.0646449
Sather	0.0646373
Crawford	0.0645875
Jeffers	0.0645809
Soto	0.0645339
Mahoney	0.0645315
Wilkins	0.0643645
Donohue	0.0643227
Hyde	0.0643073
Soliah	0.0641121
Mapes	0.0641033
McGrath	0.0640709
Mann	0.0639783
Shapiro	0.0639699
O'Neil	0.0639355
Bowen	0.0638834
Mack	0.0638746
Ritter	0.0638525
Walsh	0.0638305
Thomas	0.0638293
Johnston	0.0638247
Giacchetto	0.063777
Levin	0.0637544
Frankel	0.0635912
Hoke	0.0634939
MARBURY	0.0633993
Jackson	0.063306
Keating	0.0632867
Schmidt	0.063136
Miller	0.0631269
Mukora	0.063101
Dunleavy	0.063062
Cummings	0.063042
McDonnell	0.0629955
Ferguson	0.0629066
McMahon	0.0628882
Powell	0.0628709
Bates	0.0628534
Gillick	0.0628495
McVeigh	0.0628375
Alou	0.0628367
Adkins	0.0628225
Mohamed	0.0627558
Glover	0.062714
Brawley	0.062693
bailey	0.0626026
Porter	0.0623587
Gutierrez	0.0623416
Padilla	0.0623234
Gardner	0.0623032
Garza	0.0622723
Williams	0.0622462
Gutman	0.0622228
Nolan	0.0622179
Maradona	0.062215
Ismail	0.0621867
Davies	0.0621118
Deri	0.0620747
Daly	0.0620481
Sommer	0.0620456
Mcbride	0.0619759
Kahn	0.0619577
))
(Coles (desc 3912.1) (sims
Mukora	0.143776
"Phil Coles"	0.131059
Cole	0.116888
Kazhegeldin	0.110504
Haouari	0.102499
Ganga	0.102306
Ritter	0.0894532
Mikhailov	0.0888861
Ghani	0.0878167
Kalejs	0.0865826
O'Neil	0.0862357
"Carlos Salinas"	0.0852096
"David Sibandze"	0.0830954
Asprilla	0.0826993
Yadav	0.0826718
Deutch	0.0812794
Lazarenko	0.0809294
Quackenbush	0.0800902
Shayler	0.0788441
Prabowo	0.0786795
Imperatori	0.0779656
Weizman	0.0774683
Blackman	0.0764371
Blackwell	0.0743723
Sanan	0.0739566
Coelho	0.0739379
Mokhehle	0.0732547
Arroyo	0.0713047
Samaranch	0.0711296
"La Mont"	0.0709591
Cheng	0.0707965
Stayner	0.0705416
Riady	0.0704063
Kok	0.0703589
McVeigh	0.0699391
Smirnov	0.0690478
Musa	0.0687087
Dowd	0.0684075
Soliah	0.0683395
Hersh	0.0682815
Meciar	0.0682428
Papon	0.068104
Swango	0.0674385
Flaherty	0.0666311
Talebi	0.0665105
"Maturino Resendiz"	0.0662879
Mordechai	0.0659484
Bulatovic	0.0658003
DeBartolo	0.0657149
Hubbell	0.0656004
Hage	0.0654696
Seward	0.0653972
Maradona	0.0649295
Mudge	0.064742
Callaghan	0.0645554
Hanley	0.0643726
Bhutto	0.0643154
"David Hale"	0.0642547
Berisha	0.0642435
Muhammad	0.0639383
hale	0.0638764
Hiett	0.0637928
"Bin Laden"	0.0636865
Menuhin	0.0635332
Alcorn	0.0635194
Robison	0.063474
Drabinsky	0.0631915
Berezovsky	0.0631408
Kagalovsky	0.0630712
Kulikov	0.0629579
Garza	0.0627181
Montiel	0.0626154
Skuratov	0.0625529
Hashimoto	0.0624956
Kopp	0.0623006
Blatter	0.0622487
Deri	0.0621909
Mori	0.0621644
Rodionov	0.0620317
BARNICLE	0.061916
Dumas	0.061574
Ickes	0.061546
Soeharto	0.0611796
"Mike Espy"	0.0610704
Hodler	0.0610405
Cubas	0.0606655
Sakic	0.0606129
McDermott	0.0605219
Meskini	0.0604949
Stephens	0.0604764
Deane	0.0603594
Duran	0.0602187
"British government"	0.0602163
Katsav	0.0601992
Huang	0.0601936
Soros	0.0599596
Cianci	0.0597835
Gotti	0.0597011
Arnett	0.0596966
Babitsky	0.0595473
Agca	0.0595109
Welch	0.0594515
"De Klerk"	0.0593439
Paciello	0.0593216
"Al Fayed"	0.0591055
Estrada	0.0585375
Richards	0.0582518
Un-yong	0.0581965
Anwar	0.0581521
Bucaram	0.0580756
"Wen Ho Lee"	0.0580399
Rao	0.0580032
Bhattarai	0.0579142
Simmons	0.0578434
Klinsmann	0.0577425
"Aryeh Deri"	0.0577272
Schaeuble	0.0577012
Espinosa	0.0576491
Goldstein	0.0575599
Kodikian	0.0575445
Alves	0.0575389
Laudrup	0.0575201
Joklik	0.057514
"William Jefferson Clinton"	0.0574618
Kim	0.0574477
Giles	0.0573627
Haskins	0.0571875
Vieira	0.0571049
Sheinbein	0.0570093
Hewitt	0.056991
Jovanovic	0.0569556
Draper	0.056939
Kaunda	0.0567162
"Mike Barnicle"	0.056588
Shipman	0.0564697
NCEC	0.0558173
Nikitin	0.0557573
"Raul Salinas"	0.055665
Kambanda	0.0555881
Blackthorne	0.0554391
Merlino	0.0554065
"Russell Peeler"	0.0553281
Fabius	0.0552605
Puzo	0.055229
Dubus	0.0551907
Ramos	0.0551767
Gusinsky	0.0551741
Hess	0.0551567
Nkabinde	0.0550706
McKinney	0.0550353
Tong	0.0547978
Hoffmann	0.054737
Gorter	0.0546642
Coleman	0.0546206
Stossel	0.0546097
Cisneros	0.054537
Brazile	0.0545192
Combs	0.0544839
Abernathy	0.0544241
Spock	0.0544169
Botha	0.0543685
Advani	0.0543267
Wiggins	0.0542531
Flemmi	0.0541973
Felten	0.0541539
"Abu Nidal"	0.0539578
Kajiyama	0.0539501
McMahon	0.0538661
Nanula	0.0537924
Kang	0.0537163
xu	0.0537143
Raines	0.0536819
Pinochet	0.0536671
Goh	0.0536634
Symington	0.0535932
Nakata	0.053485
Arrington	0.0534848
Warshaw	0.0534735
Galloway	0.0534112
Richardson	0.053397
Groscost	0.0533832
Farrakhan	0.0533182
Dixon	0.0532671
Hamid	0.0531921
"Eric Murdock"	0.05318
Horowitz	0.0531345
Adair	0.0529905
Whalen	0.0528785
Bennett	0.0528767
Barr	0.0527942
Luo	0.0527918
Carruth	0.0527099
Weinke	0.0526906
Penders	0.0526647
Demjanjuk	0.0525432
Hu	0.0525264
Dodik	0.0525262
Meggett	0.0523852
Trie	0.052355
Barnes	0.052317
))
(coleslaw (desc 1539.46) (sims
"string bean"	0.129777
"potato salad"	0.126943
sauerkraut	0.115936
enchilada	0.101177
yam	0.0975366
Lasagna	0.0949577
"chicken sandwich"	0.0946268
slaw	0.0941997
"black-eyed pea"	0.0936558
pastrami	0.0935619
"french fries"	0.0928695
lettuce	0.0894101
ragout	0.0893165
"macaroni and cheese"	0.0863118
"chicken salad"	0.0846436
cornbread	0.0840896
"corned beef"	0.0823544
mayonnaise	0.0787831
"collard greens"	0.0787546
"pound cake"	0.0780108
"chocolate chip cookie"	0.0763425
Casserole	0.0737163
vinaigrette	0.073113
condiment	0.0730337
cabbage	0.072908
COBBLER	0.0727439
dressing	0.0722161
chowder	0.0716925
pasta	0.0716729
salsa	0.0715976
cheesecake	0.0705927
gravy	0.0703267
marmalade	0.0698479
broth	0.0693565
yogurt	0.0692416
Chili	0.0692007
guacamole	0.0684683
Broccoli	0.0681154
bulgur	0.0680789
burgers	0.0680297
Topping	0.0679376
pilaf	0.0677105
milkshake	0.0672954
"pecan pie"	0.0671889
macaroni	0.0669615
risotto	0.0668438
"barbecue sauce"	0.0667904
"baked goods"	0.0664066
"Caesar salad"	0.0659081
"chocolate cake"	0.0657736
"chicken wing"	0.0656071
"roast beef"	0.0651008
"frozen yogurt"	0.0645415
oatmeal	0.0644747
omelet	0.0640456
cucumber	0.0638602
fajitas	0.0633703
Pudding	0.0625459
lentil	0.0624647
marinade	0.0623184
"salad dressing"	0.0616734
plantain	0.0609666
biscotti	0.0605364
dumpling	0.0604451
fuzz	0.060206
"vegetable soup"	0.060166
"black olive"	0.0601501
"grated cheese"	0.0595023
"scrambled egg"	0.0593145
"potato chip"	0.0592294
"fruit juice"	0.0591949
"fruit salad"	0.0590788
cassava	0.0578206
"side dish"	0.057712
"iced tea"	0.0575555
cutlet	0.0570578
gratin	0.0566599
"white bean"	0.0565974
pancake	0.056182
"brussels sprout"	0.0559484
"pinto bean"	0.0558837
"French toast"	0.0552704
Jell-O	0.0550281
celery	0.0541767
polenta	0.0541106
kebab	0.0538505
"peanut butter"	0.0537629
"sweet potato"	0.0535347
gumbo	0.0534595
"pie crust"	0.0529664
Burrito	0.0529034
parsley	0.0526839
"goat cheese"	0.0526613
"green bean"	0.0525912
forklifts	0.0524816
"chocolate mousse"	0.0524127
biscuit	0.0522801
leek	0.0522296
sorbet	0.0522123
okra	0.052151
veggie	0.0512484
Tamale	0.0512376
cracker	0.0508994
taco	0.0505483
"green salad"	0.0503145
"tomato sauce"	0.050258
"canned food"	0.0499606
brownie	0.0498049
spaghetti	0.0495503
paella	0.0494346
nacho	0.0493632
"Dutch oven"	0.0488772
"soya bean"	0.048551
"bean sprout"	0.0484868
breadcrumb	0.0482422
"sour cream"	0.048227
praline	0.0477575
Pate	0.0476139
"chicken broth"	0.0474497
horseradish	0.0466947
bratwurst	0.0463136
sorghum	0.0461938
legume	0.045783
"pumpkin pie"	0.0457573
preserves	0.0457286
barley	0.0456072
"cooking oil"	0.045352
ketchup	0.0451165
eggplant	0.0447688
sushi	0.044684
"snow pea"	0.0445874
fennel	0.0445483
tomatillo	0.044425
"cold cuts"	0.0444241
POTATOES	0.0438163
"apple pie"	0.043499
Parmesan	0.043414
"hot pepper"	0.0434022
alfalfa	0.0432768
Yucca	0.0429635
"wedding cake"	0.0429324
parsnip	0.0427013
"beef broth"	0.0424077
"cream sauce"	0.0423405
pretzel	0.0422849
brisket	0.0419874
turnip	0.0417714
teriyaki	0.041765
Twinkies	0.0413502
scallion	0.0413139
radish	0.0412534
avocado	0.0407387
"Madalyn Murray O'Hair"	0.0402764
))
(Colette (desc 2510.78) (sims
"Azizah Ismail"	0.134912
Eileen	0.126114
Debra	0.105752
"Ernest Hemingway"	0.104311
Evelyn	0.101633
Brenda	0.101049
Maureen	0.100037
Polly	0.0991621
Juanita	0.0977381
Kathleen	0.096442
Patricia	0.0956703
Esther	0.0945476
Kathy	0.0926706
Tracey	0.0920523
Lynne	0.0916872
Olga	0.0915905
Doris	0.0895578
Josephine	0.0875131
Sonia	0.0874679
Marlene	0.0871294
Patti	0.08694
alicia	0.0864038
"Isabel Allende"	0.0854238
Helen	0.0826292
Sylvia	0.0810472
Miriam	0.0805445
Phyllis	0.0799605
"Salman Rushdie"	0.0794509
"Victor Hugo"	0.0789815
Shirley	0.0789462
Frances	0.0779066
Kristin	0.0777062
Pam	0.0776244
Terri	0.0772362
colleen	0.0769783
Sheryl	0.0765868
Edith	0.0763603
Millie	0.0757648
Cherie	0.0756605
Dorothy	0.0749621
Jacqueline	0.0749127
Peggy	0.0747981
Diane	0.0747871
Teresa	0.0745491
Cathy	0.0743734
JoAnne	0.0741407
"James Jones"	0.0736288
Cindy	0.0733282
Hadassah	0.0729594
Puzo	0.0722892
Linda	0.0722817
Camille	0.0718311
"Graham Greene"	0.0715377
Agnes	0.0715166
Clara	0.0714022
Nina	0.0709933
"Thomas Mann"	0.0707848
Carolyn	0.070301
"Saul Bellow"	0.0702827
Sara	0.0701668
Susan	0.0700181
"Jack Kerouac"	0.0698679
Tipper	0.0697318
Lydia	0.0694939
Joyce	0.0693703
Theresa	0.0691137
Valerie	0.0688875
Elaine	0.0688819
Stacy	0.0687773
"John Irving"	0.0685351
Irina	0.0684693
"Eudora Welty"	0.0683161
"E.L Doctorow"	0.0677551
Beatrice	0.0672591
Lucia	0.0670592
Leah	0.0667151
"John Grisham"	0.066622
Eleanor	0.0664056
Carol	0.0663718
Stephanie	0.0661004
"Leigh Ann"	0.0658511
Donna	0.0658266
Marilyn	0.0657708
Sartre	0.065636
"Henry James"	0.0656254
Cheryl	0.0654863
Anne	0.0654015
Margaret	0.0652845
Melinda	0.0649359
Pauline	0.0644803
Vicki	0.0644721
Suzanne	0.0643753
Vera	0.0643592
Lori	0.064227
Beverly	0.0639659
Marta	0.0638154
"Laura Bush"	0.063446
Louise	0.0633386
Proust	0.0631923
Dolores	0.0631454
Michele	0.0631137
Nancy	0.0627995
Monique	0.0625404
Marian	0.0624745
Alison	0.062336
"Carolyn Bessette Kennedy"	0.062255
Norma	0.0620206
Debbie	0.0620137
Janice	0.0619771
Saramago	0.0618636
Lois	0.0617938
Diana	0.0613748
Deborah	0.0611411
"George Orwell"	0.0610402
hazel	0.0610219
"Queen Noor"	0.0608163
"Winnie Madikizela-Mandela"	0.0607036
Bessie	0.0606706
Judith	0.0605656
Nabokov	0.0602737
Christine	0.0601339
Gail	0.060006
"Francis Bacon"	0.0599735
Katherine	0.0595767
"Liu Shaoqi"	0.0594927
Alexandra	0.0592585
Annie	0.058833
"Raymond Chandler"	0.0586026
"Dwight D. Eisenhower"	0.0585622
"Graca Machel"	0.0585527
Elton	0.0584129
Joan	0.0583713
Walser	0.0583013
Denise	0.0580758
Kimberly	0.0579826
Martha	0.057878
Rushdie	0.0577898
Kay	0.0577426
"Zhu Lin"	0.0576815
Angela	0.0574913
"Wole Soyinka"	0.0573791
Connie	0.0572492
"Karenna Gore Schiff"	0.0568591
Janet	0.0567918
"Stephen King"	0.0567868
Edna	0.0567501
Brooke	0.056556
Helene	0.0563433
"Lillian Hellman"	0.0563341
Maria	0.0560197
Chappell	0.0559449
Nora	0.0559353
"Tipper Gore"	0.0558534
"Diego Rivera"	0.0558177
"Charles Lindbergh"	0.0557125
Barbara	0.0556932
Marcia	0.0555899
Melissa	0.0555886
Kathryn	0.0555263
"Norman Mailer"	0.0555027
Andrea	0.0554659
Rita	0.0554304
"Lu Xun"	0.0554042
Gertrude	0.0553989
Marianne	0.0552776
Marie	0.0552357
Solzhenitsyn	0.0551658
Wanda	0.0550199
Pamela	0.0550004
Sarah	0.0547261
"Wang Yeping"	0.0547227
Karenna	0.0546276
Padilla	0.0545837
Elizabeth	0.0544795
Catherine	0.0544103
ANN	0.0543763
Duane	0.0543373
"Patsy Ramsey"	0.0542931
Betty	0.0540594
Lucille	0.0540333
Tolstoy	0.0539607
Dora	0.0539225
Liz	0.0538569
Lisa	0.0537808
"John D. Rockefeller"	0.053749
"Gabriel Garcia Marquez"	0.0537391
Jill	0.053613
anna	0.0533968
Epstein	0.0533503
Emma	0.0533363
Sade	0.0532542
gloria	0.0532397
"William Randolph Hearst"	0.0531712
Jenny	0.0529995
Ellen	0.0529774
Julie	0.0529543
"Theodore Roosevelt"	0.052809
Erica	0.0527841
Sally	0.0527662
Julia	0.0523594
))
(Coley (desc 1367.5) (sims
Tua	0.135581
Quartey	0.120422
Mayweather	0.0954802
Ruelas	0.0855034
Rosenblatt	0.0823203
"Buster Douglas"	0.0810457
Liston	0.0810004
Golota	0.0803578
Limon	0.0801127
Moorer	0.0799285
Tapia	0.0795133
Grammer	0.0791654
Nesby	0.0770537
"Emanuel Steward"	0.0768913
Campas	0.0763832
Ruiz	0.0749538
Candiotti	0.0746794
Goossen	0.0745409
Gatti	0.0742435
Mabry	0.074084
"George Foreman"	0.0737493
Ozersky	0.072725
PSG	0.0718737
Shandling	0.0704946
Harbaugh	0.0682314
Gogel	0.0681599
Cassell	0.0673737
Matasareanu	0.0673652
Romanowski	0.0666036
Croshere	0.066524
Mosley	0.0659881
Ceballos	0.0652805
Binion	0.0651339
Trinidad	0.0645609
Maharaj	0.0645429
Sharpe	0.06429
"Julius Francis"	0.0641344
Nicol	0.0639518
Kohn	0.0639087
"Oba Carr"	0.063042
Haughey	0.0630218
Nikitin	0.0628498
Ayala	0.062542
Utes	0.0618604
Soto	0.0615795
Savarese	0.0614897
ILGO	0.0605651
Whitaker	0.0603778
Testud	0.0603713
Sassa	0.0598881
Strauss-Kahn	0.0598384
Cremins	0.0596858
Robson	0.0595537
Sund	0.0592001
Tubbs	0.0586254
"Fighting Irish"	0.0583551
Norstrom	0.0580712
Szczerbiak	0.0572167
Lareau	0.0571678
Hamlin	0.0567504
Traylor	0.056478
"Dale Davis"	0.0562977
Botha	0.0558187
Carlesimo	0.0557758
Cleary	0.0556988
Dee	0.055433
Hiett	0.0554042
Matvichuk	0.0553932
Felton	0.0550758
Smits	0.0548218
Longley	0.0545131
Capriati	0.0542728
Horry	0.0542364
roper	0.0541477
Garza	0.0538316
DeShields	0.0537586
"Jean Van de Velde"	0.0536684
Meares	0.0536358
Stepanova	0.0532526
Carr	0.0532314
Martorano	0.0530848
Lindland	0.0529221
Jarvis	0.0526869
Gadzuric	0.0526778
Ftorek	0.0525789
"Al Fayed"	0.0525364
Taufik	0.0525296
Dunleavy	0.0524892
Wiseman	0.0522897
Witherspoon	0.0522561
Fassett	0.0520735
Dickerson	0.0520512
Charest	0.0519081
Hebert	0.0518096
Zagallo	0.0518052
Yadav	0.0517915
Laettner	0.051732
Burba	0.0517265
Vargas	0.0517222
Schmid	0.0516632
"Oscar De La Hoya"	0.0516557
"Lennox Lewis"	0.051582
"Mike Tyson"	0.0515377
"Pernell Whitaker"	0.0515232
"Sam Schmidt"	0.0513853
Kuehne	0.0512707
McGinn	0.051266
Stadler	0.0512285
Farnsworth	0.0510846
"Francois Botha"	0.05091
Nolte	0.050724
Grahame	0.0506272
Brazill	0.0505214
Jayasinghe	0.0503277
"Sonny Liston"	0.0503147
Boles	0.0502948
Akinwande	0.050293
Surhoff	0.0501118
Hornacek	0.0498508
Keady	0.0498435
Olajuwon	0.0498213
Briggs	0.0497433
Capps	0.049646
"Marianne Gingrich"	0.0496151
Lovett	0.0495747
Barrie	0.0494858
Hawthorn	0.0494712
CellPro	0.0494396
granger	0.0494272
Maradona	0.0493144
Armstead	0.0492949
RBA	0.0490857
Valenzuela	0.0489879
Carbonneau	0.0489543
McKnight	0.0489322
Copeland	0.0486852
Geiger	0.0485666
Galvin	0.0484515
"P.J Brown"	0.0483608
Arens	0.0483151
Woodard	0.0481491
McLaughlin	0.0481037
Helling	0.0480859
"Van Horn"	0.0480648
Hallam	0.0480406
Lori	0.0480073
Waigel	0.047962
Duran	0.0478684
Robison	0.0476611
Kuchar	0.0476443
Toysmart	0.0475586
Whaley	0.0474271
Vogts	0.0473842
Novak	0.047251
Warne	0.0472508
Appier	0.047177
"Richard Mandella"	0.047149
Cayard	0.0470034
Hearn	0.0469687
Mitnick	0.0469423
"El Hage"	0.0468231
Venables	0.046743
"Van Roost"	0.0467062
Beasley	0.0466788
Tevanian	0.0465737
Christensen	0.0465018
Chuasiriporn	0.0464771
Shatner	0.0464663
Puente	0.0463956
Uliassi	0.0463573
Gullit	0.0463477
Middleton	0.0463108
Diaz	0.0462565
Rongen	0.0462163
Blackman	0.0461838
Kwan	0.0461151
Greer	0.0461068
"Hail Mary"	0.0460431
Soriano	0.0460417
Luyendyk	0.0459173
Samuelson	0.045887
"Felix Trinidad"	0.045866
Quackenbush	0.0456844
"Gus Frerotte"	0.045505
Evander	0.0454848
Moseley	0.0454112
Rollins	0.0453809
Hoch	0.0453807
Kennelly	0.0453359
McGuinness	0.0453293
Fiorina	0.0452561
"Michael Moorer"	0.0451847
Jarrell	0.0451737
Bruguera	0.045038
Krall	0.0450302
Ruehe	0.0449954
Sioux	0.0449522
Dyer	0.0449447
BANDERAS	0.0449401
Lennox	0.0449183
))
(Colgate (desc 2817.99) (sims
Dartmouth	0.119117
Lehigh	0.116223
"Thermo Electron"	0.115894
"Appalachian State"	0.105796
Villanova	0.0955022
Princeton	0.0951794
Tandy	0.0910684
NAU	0.0895318
"Holy Cross"	0.0891325
VENATOR	0.0871165
"Seton Hall"	0.0867943
Hofstra	0.0848374
Fordham	0.084113
RJR	0.0823597
HBOC	0.0813512
"P&AMP;G"	0.0807771
Cabletron	0.0803111
Gillette	0.0802844
northeastern	0.0801796
UAL	0.0784818
"Boston College"	0.078336
CCE	0.0781794
WSU	0.0778855
Amgen	0.077668
"RJR Nabisco"	0.0770517
"Stride Rite"	0.0766664
MiniMed	0.0764911
PictureTel	0.0762149
ExciteAtHome	0.0760641
Starwood	0.0760246
Pitney	0.0757151
Cornell	0.0755898
"Arkansas State"	0.0753508
"Fighting Irish"	0.075024
"Jackson State"	0.07406
Yale	0.0736893
AutoNation	0.0735923
"Phenix City"	0.0735345
Tenneco	0.0735078
McGraw-Hill	0.0734176
"Harvard College"	0.0731431
"Dayton Hudson"	0.0720996
"Washington State"	0.0719699
"Virginia Tech"	0.0705544
Juilliard	0.0704509
Healtheon/WebMD	0.0702693
"Wake Forest"	0.0699537
Emulex	0.0694571
Conseco	0.0693812
"Iowa State"	0.0693693
McKesson	0.0692967
Alcoa	0.0691882
Rutgers	0.0690474
Genentech	0.0689209
SGI	0.0688884
Warnaco	0.0681033
UNT	0.0675638
"Williams College"	0.0671033
Sepracor	0.0670919
Biogen	0.0667645
Georgia-Pacific	0.0667366
MIT	0.0666251
COLTEC	0.0664961
"Southern Cal"	0.0663928
Danka	0.0663348
"University of Maine"	0.065877
SmithKline	0.065775
"San Jose State"	0.0653752
"Procter &AMP; Gamble"	0.065365
"Southwest Missouri State"	0.0649219
Xerox	0.0643811
"Indiana University"	0.064304
Providian	0.0642505
Cendant	0.0641315
Iona	0.0641146
SMU	0.0639213
"Boston University"	0.0638715
"Georgia Southern"	0.0638067
"University of Wyoming"	0.0636469
Furman	0.0636282
REVLON	0.0634844
Scientific-Atlanta	0.0633051
Norwest	0.0630517
NORTHROP	0.0627796
Colgate-Palmolive	0.0627719
"Southern Mississippi"	0.0626054
AMF	0.0620719
Agilent	0.0619725
Georgetown	0.0618167
BYU	0.0617949
"Sara Lee"	0.0616487
Wolfpack	0.0616317
"City College"	0.0615669
"Cal State Northridge"	0.0614595
"Florida State University"	0.0614383
"Georgia Tech"	0.0613116
ASU	0.0611805
"University of Arizona"	0.0611431
"International Paper"	0.0610126
"air force academy"	0.0609997
Warner-Lambert	0.0609974
Penney	0.0609383
"State Street"	0.0609357
Grambling	0.060807
Raytheon	0.0606876
Scripps	0.0606697
Clorox	0.0605248
Pfizer	0.0604804
UAB	0.0604181
Bristol-Myers	0.0603901
"University of Houston"	0.0603436
"Brown University"	0.0603248
EMC	0.0602589
gopher	0.0600149
"Pacific Century"	0.0599379
"J&AMP;J"	0.0598324
UNLV	0.0596117
Daimler	0.0594615
K-State	0.0594537
"Oregon State"	0.0593592
"University of Kentucky"	0.0593083
"University of Michigan"	0.0592696
"University of Tennessee"	0.0591905
Unh	0.0590142
"East Carolina"	0.05901
Petrofina	0.0587121
Starzz	0.0585853
Ciena	0.0585694
"Northern Arizona"	0.0585009
TELLABS	0.0584213
Seagate	0.0582969
Meissner	0.0582808
"Notre Dame"	0.0581246
"N.C. State"	0.0580837
"Waste Management"	0.0580835
"Old Dominion"	0.0577602
TYCO	0.0576838
Purdue	0.0575994
Schering-Plough	0.0574741
ALZA	0.0574726
UAM	0.0573253
Enron	0.0572143
Halliburton	0.0570812
Cal	0.0570239
Wesleyan	0.0570042
UT	0.0568961
Sycamore	0.0567323
Bu	0.0565638
"Bowling Green"	0.0565249
Clemson	0.0564671
AGL	0.0564628
"Duke University"	0.0564081
Sooners	0.0560409
"North Carolina State"	0.055946
USEC	0.0558899
Rattler	0.0558572
Sunbeam	0.0556239
"Ohio State"	0.0554941
XYLAN	0.0554495
KU	0.0552302
Gonzaga	0.0551671
Ameritech	0.0550702
"Crimson Tide"	0.0550552
Xavier	0.0548848
"Texas Christian"	0.054883
"Arnaud Di Pasquale"	0.0548769
Pepsico	0.0548365
OSU	0.0548143
"Texas Tech"	0.0547053
"Arizona State"	0.0547018
"Indianapolis Colts"	0.0546793
ENTREMED	0.0546618
CSUN	0.0546488
Hewlett-Packard	0.0545123
"Kansas State"	0.0544515
Mattel	0.0543552
Pepperdine	0.0543275
Maytag	0.0541613
Pairgain	0.0541509
UTC	0.054052
Healtheon	0.0539079
Wellesley	0.053797
UA	0.053708
Delphi	0.0536616
"Montana State"	0.0536138
"Michigan State"	0.0535828
gamecock	0.0534166
UMass	0.0534055
Gymboree	0.0533908
"University of Florida"	0.0533718
"Central Florida"	0.0533674
"Times Mirror"	0.0533577
Portillo	0.0530794
"Dartmouth College"	0.0529819
"Cincinnati Bengals"	0.0529087
"Penn State"	0.052899
Ge	0.0528692
"Asa Carlsson"	0.0528593
Webvan	0.0527212
Aetna	0.0527159
))
(Colgate-Palmolive (desc 1284.53) (sims
"Campbell Soup"	0.157655
"International Paper"	0.122152
"Sara Lee"	0.119305
Dupont	0.118426
Merck	0.114369
Tandy	0.1127
Alcoa	0.11004
"Southern Co."	0.109693
"Johnson &AMP; Johnson"	0.109145
"P&AMP;G"	0.105022
"American Express"	0.103638
Nabisco	0.102965
"Kraft Foods"	0.0999036
"Dayton Hudson"	0.0998617
Clorox	0.099794
"Procter &AMP; Gamble"	0.0969713
Gillette	0.0959682
"General Motors"	0.09504
Xerox	0.0924898
Kodak	0.0900863
"Chase Manhattan"	0.0887377
Chevron	0.0887164
"United Technologies"	0.0876093
"Ford Motor"	0.0869307
Anheuser-Busch	0.085448
"J.P. Morgan"	0.0850184
Kellogg	0.0848551
"Philip Morris"	0.0843227
Honeywell	0.0836392
"Texas Instruments"	0.0822983
Sears	0.0811583
"Eastman Kodak"	0.081001
"Coca Cola"	0.0799212
Vance	0.0783569
"Chase Manhattan Corp."	0.0783397
Autodesk	0.0762703
"Dairy Queen"	0.0750665
BankAmerica	0.0728691
Fujitsu	0.0722368
"Eli Lilly"	0.0721494
"General Electric"	0.0718989
COLTEC	0.0716239
Exxon	0.0715404
Monsanto	0.0713964
CCE	0.0711134
Terra	0.071053
"First USA"	0.0705341
TELLABS	0.0701987
"Dell Computer"	0.0700797
Bristol-Myers	0.0678498
Mattel	0.0675216
Stratus	0.0674698
Cadbury	0.0666883
"Lucent Technologies"	0.0665312
"GE Capital"	0.0662052
"Union Carbide"	0.066165
Goodyear	0.0661126
"Liz Claiborne"	0.0644111
Weyerhaeuser	0.0640791
Pfizer	0.0640369
"Adobe Systems"	0.0636425
Gilead	0.0630992
Colgate	0.0627719
"Pitney Bowes"	0.0623298
XYLAN	0.0621829
HomeGrocer.com	0.0621148
Medtronic	0.0620429
EMC	0.0613193
"General Motors Corp."	0.06117
Schering-Plough	0.060996
Nikko	0.0609767
Maytag	0.0602406
"JP Morgan"	0.059485
Georgia-Pacific	0.0592464
Incyte	0.0592434
Unisys	0.0586353
RAMBUS	0.0585794
"Hard Rock Cafe"	0.0584251
"Travelers Group"	0.0583775
"Pepsi Cola"	0.0581876
"JDS Uniphase"	0.058126
"Whole Foods"	0.0581143
Unilever	0.0580969
Sepracor	0.0580614
"Commonwealth Bank"	0.0577396
Heinz	0.0576609
"Delta Air Lines"	0.0575881
"J.C. Penney"	0.0574006
Cabletron	0.0570268
"Walt Disney"	0.0569226
WELLPOINT	0.0567292
Commerzbank	0.0566565
"Freddie Mac"	0.0565329
"Philippine Stock Exchange Index"	0.0563216
Emulex	0.0562653
VISTEON	0.0562246
"world market"	0.0559185
"Fletcher Energy"	0.0557733
Agilent	0.0557556
"Allied Signal"	0.0556217
"Commonwealth Bank of Australia"	0.0552457
"Deutsche Bank"	0.0552447
Avon	0.0552404
"Coca-Cola Enterprises"	0.0550127
ExciteAtHome	0.0549259
IMS	0.054836
Checkfree	0.0548243
Petrofina	0.0547422
TYCO	0.054445
"Boston Scientific"	0.0541138
Biogen	0.053434
Conseco	0.0532179
"Bank of Scotland"	0.0527881
Opel	0.0525702
Asda	0.0522142
"Toys R Us"	0.0521982
Micron	0.0521896
McGraw-Hill	0.0521196
Frito-Lay	0.0521114
NORTHROP	0.0520841
Immunex	0.0520109
"Eli Lilly &AMP; Co."	0.0516383
Cargill	0.0516205
"Delta Airlines"	0.0514261
"Industrial Index"	0.0511554
"Computer Associates"	0.0510834
KFC	0.0510822
AMR	0.0510675
"Charles Schwab"	0.0510305
"Bank of America"	0.0510075
Scientific-Atlanta	0.0507054
E-LOAN	0.050653
"Western Union"	0.0505616
"Second Board Index"	0.0505588
HSBC	0.0504785
Daiwa	0.0503414
"Sprint PCS"	0.0503226
Associates	0.0503019
CPF	0.0502331
"Atlantic Richfield"	0.0500666
CMG	0.0500201
Pepsico	0.0495487
ACB	0.0494514
SDL	0.049312
RJR	0.0491329
PEOPLESOFT	0.0491308
"Fannie Mae"	0.0488488
Ciena	0.0488116
Mitsui	0.0487122
Allstate	0.048692
leu	0.0485464
Harley-Davidson	0.0482183
Qualcomm	0.0480124
Westpac	0.0479693
"Bristol-Myers Squibb"	0.0479567
Genzyme	0.047845
NatWest	0.0476841
Starwood	0.0476663
ani	0.0476257
GANNETT	0.0473693
"Pepsico Inc."	0.0473465
"Lion Nathan"	0.0472311
AMP	0.0472185
"Compaq Computer"	0.0472107
Iomega	0.0471664
"UBS AG"	0.0469656
"Advanced Micro"	0.0468406
Ameritech	0.046707
Delphi	0.0464416
Ericsson	0.0463303
"R.J Reynolds"	0.0463204
"News Corp"	0.0461381
Fedex	0.0460957
WMC	0.0460553
"Rio Tinto"	0.0459882
Skiles	0.0458879
S@	0.0455311
UTC	0.045377
Cigna	0.0453401
AHP	0.0452078
"Pratt &AMP; Whitney"	0.045175
Skoda	0.0451413
BCE	0.0451391
"Fletcher Paper"	0.0451211
"Jack Welch"	0.0450905
"Straits Times Industrials Index"	0.0449223
whirlpool	0.0447442
"Wireless Optus"	0.0446397
Walmart	0.0444474
"Australian Cricket Board"	0.0444339
Barclays	0.0444107
Broadcom	0.0443971
Goodrich	0.0443612
"Phelps Dodge"	0.0443452
"Tokyo Stock Price Index"	0.0441542
ICI	0.0441468
"Hughes Electronics"	0.0440287
"Daimlerchrysler AG"	0.0439131
"State Street"	0.0439097
"Eastman Kodak Co."	0.0438549
))
(coli (desc 9766.28) (sims
salmonella	0.346431
listeria	0.342919
O@@@:H@	0.263267
bacteria	0.204454
E.	0.182728
cryptosporidium	0.174312
anthrax	0.174266
"West Nile"	0.17144
encephalitis	0.156536
cholera	0.156178
"hepatitis A"	0.151939
Hantavirus	0.146132
"food poisoning"	0.145881
tuberculosis	0.144463
canker	0.143971
Meningitis	0.139943
"foot-and-mouth disease"	0.138481
influenza	0.138369
hepatitis	0.137164
"AIDS virus"	0.136685
syphilis	0.135168
bacterium	0.133762
"dengue fever"	0.132949
"hepatitis B"	0.132539
Lyme	0.130926
pathogen	0.129259
giardia	0.128879
"Human Immunodeficiency Virus"	0.128182
Tb	0.126934
typhoid	0.125159
botulism	0.124803
parasite	0.12168
germ	0.121096
Rabies	0.120749
Dengue	0.119408
arsenic	0.118931
dioxin	0.118482
flu	0.117519
"typhoid fever"	0.116747
virus	0.116411
ebola	0.116245
malaria	0.112934
fungus	0.112933
HIV	0.111976
microbe	0.108735
"Lyme disease"	0.107251
BSE	0.10665
pneumonia	0.106146
microorganism	0.103577
CJD	0.103164
asbestos	0.103164
poisoning	0.101474
contamination	0.100689
Dysentery	0.0996767
"yellow fever"	0.0996505
measles	0.098448
rinderpest	0.0982059
Chlamydia	0.0977404
leprosy	0.0958439
smallpox	0.0944339
infection	0.0940043
HIV-@	0.0899
toxin	0.0897202
bacillus	0.0885713
polio	0.0870079
disease	0.0864883
"infectious disease"	0.0837718
rotavirus	0.0825819
trachoma	0.0803868
"carbon monoxide"	0.0799958
"bubonic plague"	0.079804
cyanide	0.0777886
herpes	0.0776602
"sexually transmitted disease"	0.0776224
mutation	0.077569
diarrhea	0.0771159
"lung cancer"	0.0758368
leukemia	0.0749062
"animal disease"	0.0742842
HIV/AIDS	0.0732478
"contagious disease"	0.0726795
"chemical compound"	0.0725057
spore	0.0723965
gonorrhea	0.071967
organism	0.0716955
contaminant	0.0714649
melanoma	0.071274
pesticide	0.069745
"lead poisoning"	0.0680946
nandrolone	0.068053
tetanus	0.0676074
Radon	0.0674913
PCBs	0.0670822
pest	0.0661779
legionnaire	0.06606
tremolite	0.0659078
"colon cancer"	0.0657746
"skin cancer"	0.065746
fever	0.0651389
illness	0.0651114
"Love Bug"	0.0649061
pox	0.0645972
C	0.0645304
autism	0.0642537
diphtheria	0.064024
yeast	0.0628162
ephedrine	0.0624755
antibody	0.0624159
benzene	0.0624036
DDT	0.0624031
asthma	0.0623128
algae	0.0622081
MTBE	0.0618145
radioactivity	0.0614664
Parkinson's	0.0610752
epilepsy	0.0604779
contagion	0.0604247
"cancer cell"	0.0601829
pseudoephedrine	0.0600662
outbreak	0.0600438
"brain tumor"	0.0599418
sickness	0.0598861
gastroenteritis	0.0598546
anemia	0.0595664
"heart disease"	0.0594068
fungi	0.0594036
STDs	0.0593395
clenbuterol	0.0592753
"HIV/ AIDS"	0.0589668
diabetes	0.0588536
"hydrogen sulfide"	0.0586942
radiation	0.058648
epidemic	0.057907
worm	0.0574216
ADHD	0.0572025
cancer	0.0568649
aids	0.0567611
allergen	0.0566748
STD	0.0565095
"plant disease"	0.056357
ulcer	0.0563384
ailment	0.0560012
residue	0.0557863
disorder	0.0557845
syndrome	0.0553348
testosterone	0.0549513
"free radical"	0.0549227
malignancy	0.0548798
diarrhoea	0.0546072
dioxins	0.0546045
bug	0.0541682
"Parkinson's disease"	0.0541539
plutonium	0.0541066
pollen	0.0539862
impurity	0.0539241
malnutrition	0.0537463
narcolepsy	0.0533071
dementia	0.0532145
stowaway	0.0531689
poison	0.0530641
locust	0.0530513
lymphoma	0.052732
"communicable disease"	0.0525608
osteoarthritis	0.0525397
hormone	0.0522365
cataract	0.0522228
"organic compound"	0.0521869
PCB	0.051875
dehydration	0.0518627
"Creutzfeldt-Jakob Disease"	0.0517966
carcinogen	0.0517858
plankton	0.0516278
"rheumatoid arthritis"	0.0515907
steroid	0.0515697
"acquired immune deficiency syndrome"	0.0514896
Alzheimer	0.0514866
"ultraviolet radiation"	0.0512989
chromium	0.0507968
"venereal disease"	0.0506593
mercury	0.0505008
Sarin	0.050471
insect	0.0503875
poliomyelitis	0.0502604
clot	0.0501867
acne	0.0500505
encephalopathy	0.0500269
"respiratory disease"	0.0498674
Lice	0.0496324
als	0.0496131
arthritis	0.0495665
gangrene	0.0490603
mite	0.0489732
inflammation	0.0488249
tumor	0.0486603
jaundice	0.0486121
Osteoporosis	0.0484905
overdose	0.0483196
"toxic waste"	0.0480929
"blood clot"	0.0480927
"multiple sclerosis"	0.0477006
))
(Colin (desc 3740.28) (sims
matt	0.0877253
Sasha	0.0816586
Jeremy	0.0794028
Peter	0.0781992
Schmid	0.0776046
Kenny	0.0774292
Brian	0.0771721
Brad	0.0753551
Tim	0.0750348
Jamie	0.0743088
Brody	0.0742593
Evan	0.0738945
Alex	0.0731154
Alec	0.0729384
Paul	0.0726988
Jonathan	0.0702772
Greg	0.0700974
jay	0.0695571
timothy	0.0695183
Anthony	0.0692745
William	0.0691583
Danny	0.0682015
Michael	0.0681102
Odai	0.0672166
Hamzah	0.0670637
Bryan	0.066869
Paolo	0.0667805
David	0.0648564
Maurice	0.0643087
Samuel	0.0641739
Gogel	0.0637101
Erik	0.0634728
Arthur	0.0628935
Jim	0.06284
Gauthier	0.0627453
Lorenzo	0.0626169
Brett	0.0625387
Marvin	0.0622548
Shannon	0.0621107
Clarence	0.0620894
Carlton	0.0611998
Michel	0.0608055
Josh	0.0607746
Johnny	0.0605301
Carl	0.0603912
Robson	0.0601477
Nicholas	0.0598873
"Alex Ferguson"	0.059722
Justin	0.0596422
Talebi	0.0596385
Wyatt	0.0592714
Rubenstein	0.0591648
Isaiah	0.0589317
Jamal	0.0588911
Matthew	0.0585963
Simon	0.0585672
"Jeremy Greenstock"	0.0583265
tom	0.0576786
Brandi	0.0576389
Trevor	0.0576366
Shawn	0.0575879
Henry	0.0574455
Yount	0.0573654
Donald	0.0573591
Andres	0.0572969
Todd	0.0572814
Elton	0.056987
Nickerson	0.0566602
"Dale Jr."	0.0565453
Richard	0.0563763
Ben	0.0559383
Julian	0.055728
watt	0.0556193
Shane	0.0555784
Steve	0.0554544
Robert	0.0552882
Gerard	0.0551669
Jason	0.0551047
Collin	0.0545395
Patrick	0.0544974
Flockhart	0.0544881
Nathan	0.0541202
Chris	0.0541187
fritz	0.0539024
Darnell	0.0538228
Zachary	0.0536231
"Ronnie Flanagan"	0.0535781
Derek	0.0534956
"Edmund Hillary"	0.0534894
"John Browne"	0.0532359
Laudrup	0.0529777
DiCicco	0.0524858
Forrest	0.0524471
Corey	0.0521506
Paxon	0.0519504
Leon	0.0518519
Heinrichs	0.0518486
Gregory	0.0518188
Phillip	0.0516165
Gabe	0.05152
Allan	0.0515134
Doug	0.0513974
Eric	0.0513361
Rashid	0.0513328
Zito	0.0512072
Jeff	0.0511038
Christopher	0.0510379
Baum	0.050971
Theo	0.050839
Bruce	0.0506836
Jeffrey	0.0506116
Blake	0.0502902
Linda	0.0502497
Kenneth	0.0502325
Kurth	0.0500098
Connor	0.0499716
Omar	0.049946
Casey	0.0498324
Ratner	0.0495702
Denis	0.0495337
Mario	0.0492622
Berenson	0.0492269
Sung	0.0491615
Ahmed	0.0489467
Gabriel	0.0489187
Piot	0.0487816
Yoon	0.0487809
Jimmy	0.0487762
Daniel	0.0487293
Eddie	0.0485903
jacoby	0.0485897
Jake	0.0484962
Cassie	0.0483992
Andrew	0.0483347
Darren	0.048287
Joel	0.0482625
Avery	0.0482241
Smyers	0.0482158
Walter	0.0480368
Fred	0.0479801
"Bobby Charlton"	0.0479763
Franz	0.0479168
Terry	0.0478682
Bjorn	0.0478547
Khalid	0.0478484
Jaffe	0.04783
Larry	0.0478111
Bryce	0.0476293
Joshua	0.0475919
McGinnis	0.0475746
Ted	0.0475659
Drew	0.0474994
Jessie	0.0474939
Sahadi	0.047432
Alan	0.0472724
Sapp	0.0472291
Vernon	0.0471677
Cameron	0.0471032
Vogel	0.0470203
Reggie	0.0470194
Chuck	0.0470102
Walt	0.0469098
Liam	0.0468951
Kyle	0.046688
Tobin	0.0465349
Ainge	0.0464063
Roger	0.0463
Sheedy	0.0462816
O'Connell	0.0462476
Stephen	0.0462367
A.J	0.0460907
Sergei	0.0460571
Silas	0.0459397
Langer	0.0458727
Shulman	0.0457778
Finkel	0.0457155
Harr	0.0456734
Dodi	0.0456389
"Justin Volpe"	0.045578
Thatcher	0.0455606
Whalen	0.0455451
Byrne	0.0454878
Hank	0.0454496
Andy	0.0454151
Tyler	0.0453719
Sam	0.0453511
Shoate	0.04533
Jung	0.0453285
Seth	0.0453281
Ivan	0.0452275
sandy	0.0452224
Hickman	0.0451726
beamer	0.04514
Nicol	0.0449925
Dan	0.0449778
Zagallo	0.0449492
Kathy	0.0449237
Lockhart	0.0448445
Weil	0.0448333
"Salim Saleh"	0.044728
))
("Colin Campbell" (desc 1693.12) (sims
"Rod Thorn"	0.288319
"David Johnson"	0.208534
"Dwight Clark"	0.174368
"Dick Pound"	0.173508
"Dave Johnson"	0.159749
"Frank Robinson"	0.156347
"Elgin Baylor"	0.154567
"Sandy Alderson"	0.14349
"Wayne LaPierre"	0.120902
"Anita DeFrantz"	0.120382
"Jerry West"	0.118697
"Zhou Nan"	0.117135
"Scotty Bowman"	0.115244
"Rich Brooks"	0.111334
"John Robinson"	0.109309
"Al Groh"	0.10895
"Bora Milutinovic"	0.10859
"Xie Zhenhua"	0.105828
"Kevan Gosper"	0.103963
"Dan Schnur"	0.103469
"John Smith"	0.0961733
"William Neukom"	0.0953157
"Tony Dungy"	0.0951588
"Barry McCaffrey"	0.0941673
"Franz Beckenbauer"	0.0928867
"Leon Brittan"	0.0904188
"Tom Welch"	0.0904143
"Tommy Lasorda"	0.0885376
"Tim Floyd"	0.0879858
"Tom Johnson"	0.0867994
"TOM COUGHLIN"	0.084988
"Carol Bellamy"	0.0847214
"Don Zimmer"	0.0843449
"Paul Kagame"	0.0835673
"Karen Hughes"	0.0835117
"Hu Jintao"	0.0830565
"Norv Turner"	0.0829305
"Thomas Mann"	0.082074
"John Weaver"	0.0810366
"Lu Ping"	0.0806514
"Willie Randolph"	0.0798877
"Jim Calhoun"	0.0788128
"Gary Johnson"	0.0777021
"Dave Campo"	0.0771683
"Jacques Rogge"	0.0771606
"John Thompson"	0.0762752
"Kevin McHale"	0.0758578
"Louis Freeh"	0.0754648
"Bruce Teitelbaum"	0.073399
"George Tenet"	0.0729224
"Bela Karolyi"	0.0724252
"Bill Cowher"	0.0723126
"Megawati Soekarnoputri"	0.0720232
"Don Shula"	0.0716447
"David Smith"	0.0707845
"Mike Smith"	0.0688545
"Ozzie Newsome"	0.0687687
"Steve Mariucci"	0.0686867
Passarella	0.0686702
"Marc Hodler"	0.0684366
"Ronnie Flanagan"	0.0683248
"Lenny Wilkens"	0.0674892
"Dick Vermeil"	0.0666927
"Rick Neuheisel"	0.0665863
"Mike Martz"	0.0659676
"Bobby Grier"	0.0659398
Solich	0.0651512
"Gene Sperling"	0.0647209
Spurrier	0.0646882
"Mike Shanahan"	0.0646268
Ponciano	0.0636728
"Vince Lombardi"	0.0634651
Nickerson	0.063244
"Bill Parcells"	0.0630302
Casserly	0.0624447
LeBlanc	0.0620432
"Jim Harrick"	0.0617275
"Walter Mondale"	0.0613765
"Chris Palmer"	0.0611217
Robson	0.0610065
"Chan Gailey"	0.0609498
Prewitt	0.0608166
Jayakumar	0.0606028
Narayanan	0.0604635
"David Jones"	0.0604225
"George Seifert"	0.0602145
Mehta	0.0601395
"Yu Yongbo"	0.0594943
Abby	0.0592833
"Glenn Hoddle"	0.0590311
"Bill Walsh"	0.0588835
"Don Baylor"	0.0586824
Malu	0.0586367
"Tom Lasorda"	0.0585848
"Tom Osborne"	0.0583079
"John Morris"	0.0582862
Sampson	0.0581646
"Jeffrey Katzenberg"	0.05795
"Sam Mendes"	0.0579062
"Marzuki Darusman"	0.0576569
Woodard	0.0575198
Bubb	0.0573595
"Bill Belichick"	0.0573192
"Ray Rhodes"	0.057118
"Dean Smith"	0.0570606
Donnan	0.0568521
"Jerry Krause"	0.0567833
Fassel	0.05673
"Larry Brown"	0.0567259
"Ken Hitchcock"	0.0562929
"Dom Capers"	0.0561573
Zeng	0.0560118
"Royal National Theater"	0.0559535
"Biljana Plavsic"	0.0553844
"Fred Claire"	0.0553791
"Desert Fox"	0.0553588
"Robert Reich"	0.0552558
Whipple	0.054904
"George Miller"	0.0548302
Erving	0.0545726
"John Lynch"	0.054485
"Mike Dunleavy"	0.0542806
D'Alessandro	0.0540671
"James Levine"	0.0539375
"Brian Billick"	0.0537423
"Esmat Abdel Meguid"	0.0536904
Davie	0.0532694
"Jack Valenti"	0.0531205
"Pete Carroll"	0.053119
Ikimi	0.0531053
"Paul Westphal"	0.0529141
Okada	0.0528292
"B.J Habibie"	0.0522692
"U.S. Immigration and Naturalization Service"	0.0522283
Reiner	0.0521558
Weil	0.0519111
"Zeng Qinghong"	0.0516575
"Butch Carter"	0.051394
Wald	0.0512608
"Frank Joklik"	0.0511694
Hickman	0.0510852
"Bernie Ecclestone"	0.0510182
"Billy Hunter"	0.0509542
Steinberg	0.0509333
Durant	0.0508845
Bettman	0.05086
Cremins	0.0504188
"Barry R. McCaffrey"	0.0502253
"Dick Jauron"	0.0500344
"Mike Ditka"	0.0499664
"Barry Switzer"	0.0497556
Hu	0.0497252
Rubenstein	0.0496217
Lasorda	0.0495813
"enforcement division"	0.0493254
Fleischer	0.0491184
Jovanovic	0.0488789
Moyo	0.048835
Gosper	0.0487933
"Pervaiz Musharraf"	0.0486926
"Steve Case"	0.0486179
"Jeff Van Gundy"	0.0485561
"Tom Davis"	0.0483485
Benedict	0.04831
"Vladimir Yakovlev"	0.0482843
Solis	0.048139
"Lucy Edwards"	0.0481304
Holtz	0.0480062
"National Security Adviser Sandy Berger"	0.0478679
"Billy Payne"	0.0478639
Mandelson	0.0478405
"Dave Stewart"	0.0478087
Heinrichs	0.047716
Lavin	0.047649
Fulmer	0.0476466
O'Reilly	0.0473824
MURTHA	0.0473348
Mullinax	0.0473335
"Mike Holmgren"	0.0470494
Piot	0.0470332
"Bob Knight"	0.0469712
"Richie Phillips"	0.0468744
"Commission on Elections"	0.0468548
Santoro	0.046814
Aurelio	0.0467346
Summitt	0.0467052
"Daniel Snyder"	0.0465871
"Del Harris"	0.0465702
Healy	0.046508
"Walter Zenga"	0.0464877
"Joao Havelange"	0.0463743
Directorate	0.0462755
Sobel	0.0460733
Stoneman	0.0459969
"International Rescue Committee"	0.0459911
"P.J Carlesimo"	0.045989
Gibbons	0.0459062
"State Bureau of Environmental Protection"	0.0458604
Vogel	0.0458332
Tuberville	0.0457598
))
("Colin Jackson" (desc 3802.14) (sims
"Jonathan Edwards"	0.382247
"Kim Batten"	0.37839
"Allen Johnson"	0.282477
"Steve Backley"	0.279294
"Irina Privalova"	0.267245
"Maurice Greene"	0.258972
"Wilson Kipketer"	0.249094
"Khalid Khannouchi"	0.233845
"Lenny Krayzelburg"	0.232527
"Sergei Bubka"	0.229604
"Donovan Bailey"	0.22906
"Tegla Loroupe"	0.225733
"Chris Boardman"	0.223457
"Bernard Barmasai"	0.219996
"Javier Sotomayor"	0.215493
"Le Jingyi"	0.206533
"Stacy Dragila"	0.205468
"Mark Crear"	0.202977
"Jackie Joyner-Kersee"	0.202152
Zelezny	0.1992
"Denis Pankratov"	0.198645
"Gail Devers"	0.19532
"Chen Yan"	0.195266
"Daniel Komen"	0.193682
Kipketer	0.193333
"Dan O'Brien"	0.190557
"Michael Klim"	0.190212
"Haile Gebrselassie"	0.188859
"Sandra Voelker"	0.188722
"Michael Johnson"	0.188616
"Derrick Adkins"	0.185766
"Penny Heyns"	0.179917
Klim	0.177683
"Kieren Perkins"	0.177634
"Hicham El Guerrouj"	0.176893
"Jeremy Wotherspoon"	0.17669
"Noureddine Morceli"	0.175668
"Wu Yanyan"	0.175292
"Linford Christie"	0.173574
"Emma George"	0.170781
"Hiroyasu Shimizu"	0.16716
"Deon Hemmings"	0.165642
"Liu Limin"	0.163263
"Colin McRae"	0.162706
"Iwan Thomas"	0.162611
"Samantha Riley"	0.162485
"Tom Dolan"	0.162471
"Randy Barnes"	0.161435
"Inger Miller"	0.157929
"Li Xuemei"	0.155425
Devers	0.152855
Sotomayor	0.152794
"Florence Griffith Joyner"	0.152271
"Wang Junxia"	0.149762
"Maria Mutola"	0.149713
"Damon Hill"	0.148993
"Jeff Hartwig"	0.148821
Heyns	0.148278
"Ato Boldon"	0.147356
"Richard Burns"	0.144401
"Moses Tanui"	0.136886
"Lin Li"	0.136449
"Koji Ito"	0.135966
"Alexander Popov"	0.134845
"Angelo Taylor"	0.133651
"Bruny Surin"	0.132746
"Paul Tergat"	0.130953
"Ian Thorpe"	0.130682
"David Coulthard"	0.130429
"Susie O'Neill"	0.129666
Morceli	0.127884
"Merlene Ottey"	0.126782
Krayzelburg	0.12597
Longo	0.125835
"Frankie Fredericks"	0.12271
"Cathy Freeman"	0.122602
"Sonia O'Sullivan"	0.122148
"Claudia Poll"	0.120191
"Grant Hackett"	0.115728
"American Pete Sampras"	0.11502
"John Godina"	0.113353
"Anjelika Krylova"	0.111986
"Charles Austin"	0.111279
"Li Jiajun"	0.110793
"Greg Rusedski"	0.110111
Hoogenband	0.109599
"Doug Walker"	0.107147
"El Guerrouj"	0.106137
"Eddie Irvine"	0.10516
Batten	0.104728
"Brooke Bennett"	0.104487
"Dennis Mitchell"	0.104223
"Svetlana Masterkova"	0.103286
"Heryanto Arbi"	0.102879
"Jorgen Persson"	0.102208
"Peter Nicol"	0.102153
Popov	0.100319
"Marie-Jose Perec"	0.0992002
Sautin	0.0984977
"Marion Jones"	0.0981271
"Jon Drummond"	0.0969537
"Juha Kankkunen"	0.096228
"Maria Butyrskaya"	0.096194
"Christine Arron"	0.0957907
"Tim Henman"	0.0957227
"Gianni Romme"	0.0953934
"Laurent Brochard"	0.0950759
"Wang Yifu"	0.094754
"Russian Yevgeny Kafelnikov"	0.0938535
"Alexei Yagudin"	0.0937072
"C.J Hunter"	0.0936779
"Pernilla Wiberg"	0.0930073
"Jean-Philippe Gatien"	0.0926513
"Martina Ertl"	0.0925826
"Wang Chunlu"	0.091913
"Rodney Eyles"	0.0913717
"Tommi Makinen"	0.0911961
"Michael Doohan"	0.0911
Fredericks	0.0910722
"Johan Museeuw"	0.0908704
"Greg Foster"	0.0907421
"Peter Rasmussen"	0.0903366
Shuwei	0.090147
"Yang Yang"	0.0893643
"Wang Nan"	0.0885126
"Renate Goetschl"	0.0884409
"Kevin Young"	0.0884108
"Mark Williams"	0.0882125
"Peter Gade Christensen"	0.087835
"Todd Eldredge"	0.0875701
"Heike Drechsler"	0.0871597
"Jenny Thompson"	0.0867184
Costa	0.085404
"Michael Von Gruenigen"	0.0849045
"Ye Zhaoying"	0.0848384
"Claudia Pechstein"	0.0837464
"Lasse Kjus"	0.0833319
"Jan-Ove Waldner"	0.0830808
"Irina Slutskaya"	0.0825517
Boldon	0.0824544
"Zoran Primorac"	0.0823977
"Inge de Bruijn"	0.0822606
Ottey	0.0822102
"Deborah Compagnoni"	0.0817212
"Elvis Stojko"	0.0803564
"Lennox Lewis"	0.0802349
Gebrselassie	0.0797564
"Kinder Bologna"	0.0795844
"Liu Guoliang"	0.0794248
"Anatoly Karpov"	0.0793583
"Abraham Olano"	0.0789137
"Martin Schmitt"	0.0788799
"Vodafone Airtouch PLC"	0.078583
"Chen Lu"	0.0777608
"Julius Francis"	0.077464
clocking	0.0774363
"Ivan Pedroso"	0.0771929
"Buster Douglas"	0.0771473
"Simona Amanar"	0.0769675
"Jansher Khan"	0.0769459
"Shanghai Shenhua"	0.0768651
"Carl Lewis"	0.0768225
"Kong Linghui"	0.076756
"world record-holder"	0.0767111
"Gabriela Szabo"	0.0766994
"Jacques Villeneuve"	0.0764516
Greene	0.0763937
"Thomas Stangassinger"	0.0763525
"Li Ju"	0.0763401
"Favorite Trick"	0.0763153
Berasategui	0.0759048
"Michael Chang"	0.0758675
"Iva Majoli"	0.0757398
Godina	0.0755313
"Michelle Kwan"	0.0753463
"Boris Becker"	0.0751679
Perkins	0.0750345
"Chen Hua"	0.0748909
Makinen	0.0747399
"Arantxa Sanchez-Vicario"	0.0747392
"Albert Costa"	0.0746586
"Thomas Muster"	0.0745611
"Frank Bruno"	0.0745262
"Johnny Tapia"	0.0744545
"Gong Zhichao"	0.0744397
"Isolde Kostner"	0.0743498
Villeneuve	0.0729713
"Pavel Tonkov"	0.0729381
"Garry Kasparov"	0.0728445
"Hilde Gerg"	0.0725326
Sainz	0.0725265
"Jearl Miles-Clark"	0.0723376
"Katja Seizinger"	0.0721438
"Martina Moravcova"	0.0721313
"Yu Zhuocheng"	0.0719745
"Conchita Martinez"	0.071961
"Alberto Tomba"	0.0719234
"Mark Richardson"	0.0717479
"American Lindsay Davenport"	0.0715584
"Michele Bartoli"	0.0712465
))
("Colin McRae" (desc 3755) (sims
"Tommi Makinen"	0.324709
"Damon Hill"	0.304757
"Carlos Sainz"	0.291174
"Chris Boardman"	0.288142
"Richard Burns"	0.278384
"David Coulthard"	0.261766
"Peter Nicol"	0.245822
"MIka Hakkinen"	0.222502
"Michael Doohan"	0.206875
"Johan Museeuw"	0.205041
"Paul Tergat"	0.197797
"Juha Kankkunen"	0.196494
"Abraham Olano"	0.190952
"Eddie Irvine"	0.190564
"Jacques Villeneuve"	0.183425
"Michael Schumacher"	0.182804
"Linford Christie"	0.177733
"Dario Franchitti"	0.177571
"Sonia O'Sullivan"	0.17663
"Jonathan Edwards"	0.169665
"Steve Backley"	0.164562
"Max Biaggi"	0.162785
"Colin Jackson"	0.162706
"Marco Pantani"	0.158063
"Laurent Brochard"	0.157355
"Tom Steels"	0.154293
"Maria Butyrskaya"	0.15357
"Katja Seizinger"	0.149786
"Jansher Khan"	0.146499
"Svetlana Khorkina"	0.14577
Sainz	0.145458
"Laurent Jalabert"	0.142612
"Alexei Yagudin"	0.142574
"Jean-Philippe Gatien"	0.140726
"Fatuma Roba"	0.139918
"Pavel Tonkov"	0.13958
"Scott Sharp"	0.139044
"Moses Tanui"	0.137533
"Chen Lu"	0.137376
"Allen Johnson"	0.136703
"Kenny Brack"	0.136463
"Garry Kasparov"	0.135287
"Alex Zanardi"	0.135274
"Gabriela Szabo"	0.134255
"Alex Zuelle"	0.132154
"Miguel Indurain"	0.132125
"Irina Privalova"	0.131849
"Ivan Pedroso"	0.131667
"Blaine Wilson"	0.131606
Makinen	0.130808
"Rodney Eyles"	0.130705
"Ivan Ivankov"	0.130473
"Wang Yifu"	0.130297
"Jimmy Vasser"	0.129628
"Todd Eldredge"	0.129561
"Tegla Loroupe"	0.129279
"Michael Von Gruenigen"	0.128892
"Elena Berezhnaya"	0.128812
"Thomas Stangassinger"	0.128422
"Elvis Stojko"	0.127798
"Lance Armstrong"	0.127394
"Peter Rasmussen"	0.127254
"Maria Mutola"	0.12718
"Dale Jarrett"	0.126616
"Frank Bruno"	0.126427
"Deborah Compagnoni"	0.126029
"Eddie Cheever"	0.125369
"Liu Xuan"	0.12523
"Daniel Komen"	0.124802
"Didier Auriol"	0.123967
"John Godina"	0.123583
"Li Jiajun"	0.123033
Susanti	0.122965
"Alexandra Meissnitzer"	0.122488
"Hermann Maier"	0.12185
"Le Jingyi"	0.120904
Ullrich	0.120868
"Inger Miller"	0.120759
"Heinz-Harald Frentzen"	0.120587
"Derrick Adkins"	0.120391
"Juan Montoya"	0.119959
"Lasse Kjus"	0.119835
Jalabert	0.119187
"Michael Andretti"	0.118944
"Martina Ertl"	0.118125
"Fu Mingxia"	0.117078
"Deon Hemmings"	0.11558
"Shanghai Shenhua"	0.115547
"Thomas Muster"	0.114743
"Claudia Poll"	0.114694
"Isolde Kostner"	0.114491
"Billy Boat"	0.114439
"Arantxa Sanchez Vicario"	0.113927
"Jorgen Persson"	0.113663
"Pernilla Wiberg"	0.113645
"Buster Douglas"	0.113477
"Ye Zhaoying"	0.113301
"Andrew Coltart"	0.113076
"Bill Elliott"	0.112854
"Michele Bartoli"	0.111703
"Erik Zabel"	0.111187
"Maurice Greene"	0.111134
"Anjelika Krylova"	0.110702
"Paul Lawrie"	0.110395
"Darrell Waltrip"	0.110059
"Brooke Bennett"	0.109241
"Ato Boldon"	0.109214
"Vanessa Atler"	0.10911
"Guo Jingjing"	0.109004
"Susie O'Neill"	0.108761
"Gil Morgan"	0.108237
"Greg Ray"	0.107479
"Greg Rusedski"	0.106986
"Merlene Ottey"	0.106876
"Gunda Niemann-Stirnemann"	0.106603
Villeneuve	0.106466
"Gail Devers"	0.105845
"Ge Fei"	0.105795
"Renate Goetschl"	0.105785
Doohan	0.105756
"Kong Linghui"	0.105598
"Anatoly Karpov"	0.105283
"Dalian Wanda"	0.10518
"Boris Becker"	0.104686
"Heryanto Arbi"	0.10465
"Jeff King"	0.104476
"Wilson Kipketer"	0.104385
"Liu Limin"	0.104235
"Stacy Dragila"	0.104189
"Joko Suprianto"	0.104094
"Penny Heyns"	0.103692
"Mark Martin"	0.103497
"Wang Junxia"	0.103192
"Jan-Ove Waldner"	0.103189
"Marie-Jose Perec"	0.102944
Karpov	0.102885
"Carlos Moya"	0.102822
"Michael Chang"	0.102321
Shuwei	0.101941
"Samantha Riley"	0.101874
"Hicham El Guerrouj"	0.100628
"Simona Amanar"	0.100564
"Bjarte Engen Vik"	0.10045
"Al Unser Jr."	0.100367
"Bjarne Riis"	0.0999849
"Frankie Fredericks"	0.0991229
"Wu Yanyan"	0.0990582
"Sergei Bubka"	0.0989377
"Irina Slutskaya"	0.098894
"Dale Earnhardt Jr."	0.0985869
"Dong Jiong"	0.0983844
"Bobby Labonte"	0.0981825
"Tom Dolan"	0.0981418
"Michelle Kwan"	0.097511
Olano	0.0973604
"American Pete Sampras"	0.0968494
"Picabo Street"	0.0966079
"Vodafone Airtouch PLC"	0.0965333
"Matt Kenseth"	0.0962081
"Rusty Wallace"	0.0961038
"Alexei Urmanov"	0.0959893
"Michael Klim"	0.0958088
"Monica Seles"	0.095777
"Martin Schmitt"	0.0954718
"Alberto Tomba"	0.0953084
"Alexei Nemov"	0.0950987
"Denis Pankratov"	0.0950633
"Susi Susanti"	0.0949998
"Tim Henman"	0.0943855
"Scott Pruett"	0.0942431
"Jeff Gordon"	0.0937966
"Svetlana Masterkova"	0.0936056
"Earnhardt Jr."	0.0934907
"Ian Thorpe"	0.0934668
"Steffi Graf"	0.0933278
"Jeff Burton"	0.0933244
"Zoran Primorac"	0.0933203
"Olin Browne"	0.0931212
Longo	0.0931175
"Mary Pierce"	0.0930509
"Tony Stewart"	0.0930345
"Liu Guoliang"	0.0924972
"Kjetil Andre Aamodt"	0.0924817
"Claudia Pechstein"	0.0924206
"Wang Tao"	0.0922506
"Sandra Voelker"	0.0922306
"Grant Hackett"	0.0920862
"Yevgeny Kafelnikov"	0.0919536
"Peter Gade Christensen"	0.0916093
"Alexander Popov"	0.0915937
"Mark Calcavecchia"	0.0908635
"Gustavo Kuerten"	0.0908087
"Hilde Gerg"	0.0905841
"Ricky Rudd"	0.0901043
Hakkinen	0.0896062
"Wang Chunlu"	0.0892957
"Conchita Martinez"	0.0891535
"C.J Hunter"	0.0890666
"Yang Yang"	0.0887691
Sautin	0.088722
))
("Colin Montgomerie" (desc 12224.5) (sims
"Justin Leonard"	0.336419
"Phil Mickelson"	0.31164
"Lee Westwood"	0.307746
"Jesper Parnevik"	0.299092
"Fred Couples"	0.299085
"Nick Price"	0.292765
"Davis Love III"	0.287008
"Mark O'Meara"	0.284641
"Tom Lehman"	0.281258
"David Duval"	0.278442
"Jim Furyk"	0.277438
"Lee Janzen"	0.276306
"Ernie Els"	0.268956
"Vijay Singh"	0.268727
"Darren Clarke"	0.249992
"Hal Sutton"	0.249298
"Greg Norman"	0.249226
"Bernhard Langer"	0.234766
"Nick Faldo"	0.232037
"Payne Stewart"	0.230673
"Sergio Garcia"	0.22737
Montgomerie	0.226919
"Jose Maria Olazabal"	0.226777
"Steve Elkington"	0.213327
"Stuart Appleby"	0.212324
"Jeff Maggert"	0.211192
"Mark Calcavecchia"	0.208586
"Tiger Woods"	0.206697
"John Daly"	0.205612
"Bob Tway"	0.204163
"Davis Love"	0.198137
"Paul Lawrie"	0.193832
"Scott Hoch"	0.190946
"Jeff Sluman"	0.189724
"Billy Mayfair"	0.174416
"Loren Roberts"	0.173575
"Stewart Cink"	0.163858
"John Cook"	0.162296
"Steve Pate"	0.159388
"Ian Woosnam"	0.156945
"Curtis Strange"	0.154375
"John Huston"	0.152324
Duval	0.151809
"Jack Nicklaus"	0.149735
"Tom Watson"	0.149438
"Thomas Bjorn"	0.147617
"Tim Herron"	0.143703
O'Meara	0.142887
"Corey Pavin"	0.142211
"Miguel Angel Jimenez"	0.142021
"Paul Azinger"	0.138244
"Shigeki Maruyama"	0.135754
"Padraig Harrington"	0.13566
"Fuzzy Zoeller"	0.133986
"Andrew Magee"	0.132259
"Chris Perry"	0.129287
Parnevik	0.12816
"Steve Stricker"	0.12787
"Brad Faxon"	0.127421
"Tom Kite"	0.125924
"HANK KUEHNE"	0.125266
"Ben Crenshaw"	0.122694
"Andrew Coltart"	0.121941
"Jarmo Sandelin"	0.121124
Mickelson	0.119392
Faldo	0.118752
"Bob Estes"	0.113858
"Steve Jones"	0.113846
"Seve Ballesteros"	0.113346
"Frank Nobilo"	0.113273
"Craig Stadler"	0.112186
"Hale Irwin"	0.110948
"Craig Parry"	0.110618
Leonard	0.110294
"Peter Nicol"	0.109943
Janzen	0.108863
el	0.105717
Furyk	0.105634
"Fred Funk"	0.104978
"Karrie Webb"	0.104572
"Brian Watts"	0.103195
"Annika Sorenstam"	0.102527
"Jean Van de Velde"	0.10082
Olazabal	0.10039
Woods	0.100109
"Mike Weir"	0.0983734
"Johnny Miller"	0.0980284
"Mark Brooks"	0.0967604
Garcia	0.0964508
"David Frost"	0.0945295
"Casey Martin"	0.0939032
Singh	0.091789
Cink	0.0911879
Nicklaus	0.0898563
"Mark James"	0.0887565
"Arnold Palmer"	0.088444
"Kirk Triplett"	0.0881787
"Matt Kuchar"	0.0881774
"Justin Rose"	0.086985
Sorenstam	0.0869523
"Billy Andrade"	0.0864787
Lehman	0.0846783
"Gary Player"	0.0845547
"Larry Mize"	0.0835972
"Juli Inkster"	0.082418
Huston	0.0817435
"Nancy Lopez"	0.0816605
"Se Ri Pak"	0.0798987
"Pete Sampras"	0.0784661
Stewart	0.0780373
"Jay Haas"	0.076932
"Colin McRae"	0.0750641
Westwood	0.0741771
"Laura Davies"	0.0738757
Sutton	0.0735454
"Lee Trevino"	0.0733947
"Steffi Graf"	0.0728096
"Martina Hingis"	0.0727166
Longo	0.0726521
Pate	0.0721593
"Scott Dunlap"	0.0717299
Norman	0.0716668
Inkster	0.0713694
"Jenny Chuasiriporn"	0.0705866
wood	0.0703086
"Monica Seles"	0.0693724
"David Coulthard"	0.0689249
"Dario Franchitti"	0.0685067
"Carlos Franco"	0.0683861
Lawrie	0.0682931
"Wang Nan"	0.0676243
"Andre Agassi"	0.0661228
"Raymond Floyd"	0.0659517
"Carlos Moya"	0.0654336
Irwin	0.0653456
"Van de Velde"	0.0649284
"Larry Nelson"	0.064845
"Jim Courier"	0.0643709
"Todd Martin"	0.0642964
Azinger	0.064088
Quigley	0.0633094
Bjorn	0.0632701
"Liu Guoliang"	0.0629288
"Marcelo Rios"	0.0627544
"Thomas Muster"	0.0624351
"Leander Paes"	0.06218
Elkington	0.0621608
"Peter Jacobsen"	0.062034
Kuehne	0.061653
"Yevgeny Kafelnikov"	0.0616383
Maggert	0.0615613
"Tim Henman"	0.0615331
golfer	0.0615175
"Lindsay Davenport"	0.0612165
"Koji Ito"	0.0603541
"Hu Weidong"	0.0602224
"Pernilla Wiberg"	0.0600403
"Ye Zhaoying"	0.059932
BEGAY	0.0595788
Franchitti	0.0594084
"Bill Glasson"	0.0592814
Watson	0.058998
"Laurent Jalabert"	0.0587944
"Jana Novotna"	0.058454
"Kong Linghui"	0.0584519
"Meg Mallon"	0.0583595
"Miguel Indurain"	0.0580142
"Arnaud Di Pasquale"	0.057949
"Andrea Gaudenzi"	0.0579035
"Ai Sugiyama"	0.0578148
"Mark Woodforde"	0.0575895
"Alex Zanardi"	0.0575724
Seles	0.05746
"Vladimir Samsonov"	0.0574014
"Jonas Bjorkman"	0.0573462
"Lasse Kjus"	0.0570353
Appleby	0.0569287
Pak	0.056727
"Arantxa Sanchez Vicario"	0.0566315
Nelson	0.0566236
"Alex Zuelle"	0.0564576
"Rocco Mediate"	0.0560512
Sainz	0.055943
"Sergi Bruguera"	0.0559063
Hingis	0.0556053
"Gong Zhichao"	0.0555874
Ullrich	0.0553509
Mallon	0.0552281
"Patty Schnyder"	0.0551241
Sampras	0.0550047
"Ben Hogan"	0.0549984
Palmer	0.0549237
"Mark Martin"	0.0546657
"Gil Morgan"	0.0546033
Clarke	0.0546013
"Francesco Casagrande"	0.054601
"Magnus Gustafsson"	0.0542754
Klim	0.0541724
"Thomas Enqvist"	0.0540497
"Dale Jarrett"	0.0537258
))
("Colin Powell" (desc 10203.2) (sims
"John Shalikashvili"	0.218737
"Hugh Shelton"	0.16373
"Henry H. Shelton"	0.159367
"Norman Schwarzkopf"	0.159327
"Henry Shelton"	0.152286
"Shaul Mofaz"	0.134377
"Elizabeth Dole"	0.131427
"Brent Scowcroft"	0.120314
"Gary Bauer"	0.111622
"Lamar Alexander"	0.1111
"Lino Oviedo"	0.110878
Powell	0.110723
"Dick Cheney"	0.110395
"Condoleezza Rice"	0.10464
"Joe Lieberman"	0.0999606
"John Kasich"	0.0983173
"William Daley"	0.0977323
"Dan Quayle"	0.097252
"Orrin Hatch"	0.095071
"Klaus Naumann"	0.0947778
"Julian Bond"	0.0946313
"Joseph Ralston"	0.0942339
"John McCain"	0.0941252
"Pat Buchanan"	0.0941035
"Bob Dole"	0.0938809
"Alan Keyes"	0.0937682
"Wesley Clark"	0.0929093
"Steve Forbes"	0.0922839
"Joseph Lieberman"	0.0919274
"Patrick J. Buchanan"	0.0916999
"J.C. Watts"	0.09089
"Fred Thompson"	0.0892362
"Bill Bradley"	0.0888187
"Lowell Weicker"	0.0882405
"Pervaiz Musharraf"	0.0876458
"Barry McCaffrey"	0.0871302
"George W. Bush"	0.0865386
"Alexander Lebed"	0.0864883
Lieberman	0.084802
"Ansumane Mane"	0.084591
"Frank Keating"	0.0844174
"Phil Gramm"	0.0841689
"Alan Greenspan"	0.0819497
"Pervez Musharraf"	0.0810885
"Olusegun Obasanjo"	0.0805179
"Than Shwe"	0.0801155
"Jesse Ventura"	0.079898
"Maung Aye"	0.0795136
"Henry Kissinger"	0.079265
"Salim Saleh"	0.0790114
"Patrick Buchanan"	0.0783815
"Bob Smith"	0.0781694
"George Bush"	0.0774776
"Defense William Cohen"	0.0771714
"James Baker"	0.0765339
"Pete Domenici"	0.0759347
"Hillary Clinton"	0.0755956
Quayle	0.0753122
"Tony Coelho"	0.0752559
"Robert Guei"	0.0751857
"Robert Rubin"	0.0750169
"Richard Blumenthal"	0.0746012
"Erskine Bowles"	0.0744608
"Zbigniew Brzezinski"	0.0738505
"Danny Yatom"	0.0737915
"Archbishop Desmond Tutu"	0.0733445
"Hillary Rodham Clinton"	0.0733267
"John Podesta"	0.073242
"Sam Nunn"	0.0730128
"Zell Miller"	0.0726131
"David Hale"	0.0722356
"Jack Kemp"	0.072116
"William Perry"	0.0715889
DOLE	0.0714015
"Douglas MacArthur"	0.0712279
"Ramsey Clark"	0.0710693
"Abdulsalam Abubakar"	0.0706795
"Paul Kagame"	0.069921
"George Mitchell"	0.068686
"Jesse Helms"	0.0683457
"Tipper Gore"	0.0681758
"Democrat Bill Bradley"	0.068158
"Yegor Stroyev"	0.0680674
"secretary of state"	0.0680176
"Donald Trump"	0.0679271
"Martin Luther King III"	0.0671853
"Yoshiro Mori"	0.0666097
"Jim Nicholson"	0.0663297
Cheney	0.0654178
Wiranto	0.065322
"William Cohen"	0.0650359
Buchanan	0.064762
"Barry R. McCaffrey"	0.0642739
"Janet Reno"	0.0642261
"Al Gore"	0.0642201
"Henry Hyde"	0.0639078
"Oprah Winfrey"	0.0635772
"Ralph Nader"	0.0635632
"Charles Dolan"	0.0632143
"Desmond Tutu"	0.0631172
"Omar Torrijos"	0.0630936
Harmoko	0.062951
"Bill Archer"	0.0626347
"John Warner"	0.0625464
"Chuck Hagel"	0.062484
"Howard Baker"	0.0624608
"Dan Miller"	0.0622326
"John Cornyn"	0.062177
"George Pataki"	0.0620884
"Mitch McConnell"	0.0620814
"Jack Welch"	0.0618104
"Hans Blix"	0.0616278
"Gennady Seleznyov"	0.0615956
"Oladipo Diya"	0.0615923
"Marzuki Darusman"	0.061538
"Richard Cheney"	0.0613977
"Ulysses S. Grant"	0.0610982
Nader	0.0610156
"Jesse Jackson"	0.0609864
Greenspan	0.0607972
Kasich	0.0607484
"Tom Ridge"	0.0606505
"Ratko Mladic"	0.0606488
"Lynne Cheney"	0.0606264
Musharraf	0.0606187
"Amien Rais"	0.0605943
"Jim Leach"	0.060591
Feingold	0.0603401
"Alexis Herman"	0.0602437
"Margaret Thatcher"	0.0602188
Lynne	0.0600534
"security adviser"	0.0599973
Ghalib	0.0598866
"Ronald Reagan"	0.0596407
"Christie Whitman"	0.0595163
"Ariel Sharon"	0.0593158
"Eric Holder"	0.0591949
"Abdulsalami Abubakar"	0.0591415
"Ted Kennedy"	0.058988
"Igor Sergeyev"	0.0589856
Sutiyoso	0.0588585
"Ivan Kostov"	0.0588293
"Richard Lugar"	0.0587765
"Charles de Gaulle"	0.0586869
"Jeb Bush"	0.0584381
"Coretta Scott King"	0.058366
"George Robertson"	0.0582572
Bauer	0.0581545
"Vladimir Yakovlev"	0.0580421
"chief of staff"	0.0580106
"Gene Sperling"	0.057874
"Yitzhak Mordechai"	0.057811
"Madeleine Albright"	0.0577039
"Dianne Feinstein"	0.0577
"Chief Executive Tung Chee-hwa"	0.057698
"Tin Oo"	0.0575573
"Majority Whip Tom DeLay"	0.0575446
"running mate"	0.0570961
"Ross Perot"	0.0569711
"Rodney Slater"	0.0568275
"Ted Stevens"	0.0568271
"Jerry Reinsdorf"	0.0567038
"Michael Dell"	0.0566753
"Secretary of Defense"	0.0566435
Lott	0.05664
Abubakar	0.0565234
"Betsy McCaughey Ross"	0.0564966
"Dan Burton"	0.0564151
"Edward Kennedy"	0.056361
"Manuel Noriega"	0.05635
"National Security Adviser Sandy Berger"	0.0563433
Kissinger	0.0562134
"Dennis Vacco"	0.0560859
Forbes	0.0560656
"lieutenant general"	0.055988
"Gray Davis"	0.0558894
"Trent Lott"	0.0558892
Congressman	0.0558451
"Lawrence Summers"	0.0557641
"James Sensenbrenner"	0.0556788
"William Roth"	0.0556513
"Strom Thurmond"	0.055606
"Bill Richardson"	0.0555205
"Geraldine Ferraro"	0.0555165
"Arlen Specter"	0.0554
"John Chafee"	0.0553811
"Scott Harshbarger"	0.0553027
Kolbe	0.0551062
"Khin Nyunt"	0.0549348
Pataki	0.0549101
"Laura Bush"	0.0547977
"David Dreier"	0.0547846
"Bill Lann Lee"	0.0546897
"Kiichi Miyazawa"	0.0546785
"Harold Ickes"	0.0546681
McCaffrey	0.0546586
"John Engler"	0.0546488
"Orlando Mercado"	0.0546248
"Javier Solana"	0.054508
R-Ariz.	0.0543605
))
(Coliseum (desc 18607.4) (sims
"Devil Stadium"	0.142256
stadium	0.136358
"Rose Bowl"	0.128167
"Giants Stadium"	0.127552
Metrodome	0.127478
"Foxboro Stadium"	0.126079
"Pauley Pavilion"	0.121062
"Dodger Stadium"	0.115206
"sports arena"	0.115113
"Nassau Coliseum"	0.108595
"Yankee Stadium"	0.108173
arena	0.107939
"Georgia Dome"	0.107643
"Qualcomm Stadium"	0.107259
"Madison Square Garden"	0.106598
Astrodome	0.103121
"America West Arena"	0.102365
"Olympic Stadium"	0.101863
KeyArena	0.100753
"Texas Stadium"	0.100294
"Fenway Park"	0.0979009
"Civic Arena"	0.0966573
"Pro Player Stadium"	0.0940434
Ballpark	0.0940371
"Staples Center"	0.0939523
"Reunion Arena"	0.0936832
"Memorial Stadium"	0.0924734
"Delta Center"	0.0912247
"Turner Field"	0.0908336
"Continental Arena"	0.0902368
"Lambeau Field"	0.0895894
Kingdome	0.0864527
Superdome	0.0862624
FleetCenter	0.0859869
"Wrigley Field"	0.0851942
"RCA Dome"	0.0850553
"Busch Stadium"	0.0848981
"Safeco Field"	0.0846535
"Compaq Center"	0.0842867
"Shea Stadium"	0.0841133
Alamodome	0.0840675
"Rivers Stadium"	0.0829368
"United Center"	0.0824508
"Arrowhead Stadium"	0.0807783
Meadowlands	0.0805554
"civic center"	0.0803442
"Soldier Field"	0.0798187
"Camden Yards"	0.0789874
"Mile High Stadium"	0.0786451
"Cotton Bowl"	0.0783865
"Jacobs Field"	0.0772378
Wembley	0.0763519
"Oakland Coliseum"	0.0759882
"Tropicana Field"	0.0758515
"Market Square Arena"	0.0755405
"Veterans Stadium"	0.0737839
"Coors Field"	0.0734215
"Conseco Fieldhouse"	0.072412
CARSON	0.0722973
"Edison Field"	0.071951
"Comiskey Park"	0.0699295
"National Stadium"	0.0693804
"Hollywood Park"	0.0692901
"Orange Bowl"	0.0687777
"Stade de France"	0.0683866
"football stadium"	0.0682783
"Trans World Dome"	0.0677351
"Sanford Stadium"	0.067278
"Cinergy Field"	0.0669753
"RFK Stadium"	0.0660173
Fenway	0.0658378
Colosseum	0.0656794
hotel	0.0654266
"MCI Center"	0.0652601
"Jack Kent Cooke Stadium"	0.0646738
"Candlestick Park"	0.0645433
Foxboro	0.0643768
"Miami Arena"	0.0641983
"Philips Arena"	0.0640624
"Tiger Stadium"	0.0635209
venue	0.0631177
"County Stadium"	0.0630738
courthouse	0.0618705
auditorium	0.0616119
Shea	0.061289
"Kyle Field"	0.0608755
gym	0.0601725
Houston	0.0598027
Reichstag	0.0596673
"First Union Center"	0.0591001
Roski	0.0587598
"Stade Velodrome"	0.0585856
SkyDome	0.0584325
theater	0.0583469
"Comerica Park"	0.0582488
"Kiel Center"	0.0580863
"opera house"	0.0578158
"Fiesta Bowl"	0.0577097
"city center"	0.0575849
"Carnegie Hall"	0.0574181
Wrigley	0.0573179
gymnasium	0.0573006
mall	0.0570498
"Ebbets Field"	0.0563104
"Polo Grounds"	0.0563037
Safeco	0.0557021
Dome	0.0556821
"Salt Lake City"	0.0549773
campus	0.0546111
Capitol	0.0545661
"Pacific Bell Park"	0.0543987
"Exposition Park"	0.0542838
"city hall"	0.0539931
"Santa Anita"	0.0539355
"Old Trafford"	0.0531611
dormitory	0.0530657
"Union Station"	0.0530282
garden	0.0528743
rink	0.0526913
Denver	0.0526077
"Churchill Downs"	0.0522625
palace	0.0521257
"Enron Field"	0.0517952
"Washington Monument"	0.0517456
"Times Square"	0.0517127
amphitheater	0.0515147
ballroom	0.0515085
speedway	0.0514162
Ovitz	0.0513739
"Kansas City"	0.0507224
"movie theater"	0.0506842
Casino	0.050389
"Pepsi Center"	0.0503781
Indianapolis	0.0502337
"San Diego"	0.0500303
"Del Mar"	0.0497107
Highbury	0.0493309
sanctuary	0.0492251
apartment	0.0490606
"Boston Garden"	0.0490022
Warehouse	0.0489095
"Little League World Series"	0.0489077
"California Speedway"	0.0488073
library	0.048801
Milwaukee	0.0486748
Philadelphia	0.0483968
"Olympic Park"	0.0483096
Hartford	0.0482644
"concert hall"	0.0482056
"Texas Motor Speedway"	0.0478429
"New Orleans"	0.0478113
"Potala Palace"	0.0475787
"European Championships"	0.0472057
"Continental Airlines Arena"	0.0471273
"rose garden"	0.0470086
classroom	0.0468741
Phoenix	0.0468104
"Pan American Games"	0.0467812
"country club"	0.0467791
"Arizona State"	0.046701
pier	0.046468
"train station"	0.0463874
terminal	0.0463747
"Ryder Cup"	0.0462962
Pittsburgh	0.0462415
Baltimore	0.0461227
barn	0.0460533
Tampa	0.0459215
Nashville	0.0458677
plaza	0.0457753
cemetery	0.0455971
Foxborough	0.0455199
Detroit	0.0454925
"exhibition hall"	0.045472
Dallas	0.0454707
"Vero Beach"	0.04534
Tucson	0.0453352
"public toilet"	0.0452614
Montreal	0.0452273
ANAHEIM	0.0451236
Toronto	0.0449298
Valhalla	0.0448434
L.A	0.0448225
"office building"	0.0446592
TM	0.0446487
"shopping mall"	0.0443419
playground	0.0441395
mansion	0.0439269
mosque	0.0439044
memorial	0.0437772
chapel	0.0437502
Dodgertown	0.0437434
Cleveland	0.0437333
"College World Series"	0.0436797
Cathedral	0.043621
garage	0.0434562
"Super League"	0.0434297
Cincinnati	0.043381
"subway station"	0.0432651
"St. Louis"	0.0432565
))
(collaboration (desc 56943.1) (sims
cooperation	0.174245
partnership	0.155323
coordination	0.140718
consultation	0.112676
interaction	0.108561
exchange	0.105697
contact	0.105107
dialogue	0.101956
relationship	0.101484
"mutual understanding"	0.100823
participation	0.0996077
dialog	0.0992936
involvement	0.0929441
conjunction	0.0921512
integration	0.0918622
linkage	0.0912157
friendship	0.0870301
"joint venture"	0.0865322
relation	0.0865319
effort	0.0862091
discussion	0.0845464
collusion	0.084213
synergy	0.0824191
communication	0.0816009
"co- operation"	0.081257
innovation	0.080696
negotiation	0.08058
Alliance	0.0783961
agreement	0.0779359
link	0.0774023
development	0.077297
understanding	0.0768423
teamwork	0.0765511
research	0.0759816
merger	0.0758925
consolidation	0.0743036
project	0.0737715
sharing	0.0733957
liaison	0.0732389
engagement	0.0732091
reconciliation	0.0731005
investment	0.0727202
arrangement	0.0727018
tie	0.0723963
endeavor	0.0717632
compromise	0.0715682
activity	0.0710636
solidarity	0.0709518
initiative	0.0700243
interdependence	0.0691725
networking	0.068753
association	0.0684779
Liberalization	0.0681314
consensus	0.0678143
role	0.0677394
reform	0.0673533
assistance	0.0663682
creation	0.0662836
unity	0.066247
transparency	0.0661258
experience	0.065724
strategy	0.0654104
exploration	0.0651838
confrontation	0.0650819
pact	0.0650647
Promotion	0.0650235
diplomacy	0.0649915
"trade relation"	0.0647731
dealings	0.0646433
expansion	0.0645974
training	0.0644131
program	0.0640533
achievement	0.0637593
"free trade"	0.0635779
planning	0.0635699
venture	0.0634748
Convergence	0.0632872
expertise	0.06326
exercise	0.0630047
peace	0.0625452
coexistence	0.06248
complementarity	0.0624782
Privatization	0.0623427
restructuring	0.0621557
encounter	0.0621319
experiment	0.0620606
competition	0.0618567
tie-up	0.0614301
progress	0.0612253
harmony	0.0610257
diversification	0.060813
efficiency	0.0607296
accountability	0.0605121
governance	0.0604224
breakthrough	0.0599462
improvement	0.0599301
management	0.0599241
action	0.0597176
equality	0.0595988
revival	0.0594846
trust	0.0594126
transfer	0.059377
intervention	0.0592735
deal	0.059242
Implementation	0.0591894
study	0.0591133
Creativity	0.0591073
conflict	0.0590112
accord	0.0589807
meeting	0.0586484
reorganization	0.0583877
misunderstanding	0.0583206
commitment	0.0582968
mobilization	0.0582202
technology	0.0580391
connection	0.0578172
rapprochement	0.0577065
approach	0.0576756
Openness	0.0572303
operation	0.0571892
restoration	0.0571005
neighborliness	0.0570848
dissemination	0.0569671
recognition	0.0567285
conversation	0.0566255
self-reliance	0.056577
advancement	0.0565195
settlement	0.0564903
rivalry	0.0564595
diversity	0.056444
struggle	0.056359
business	0.0561
success	0.0560875
performance	0.0560323
setting	0.0559273
battle	0.0558972
discipline	0.0558248
camaraderie	0.0557914
scheme	0.0556365
renovation	0.0555034
empowerment	0.0555024
interest	0.055321
transaction	0.0552599
complicity	0.0549336
mechanism	0.0548434
education	0.0547419
response	0.0545072
awareness	0.0544187
compliance	0.0543627
harmonization	0.0542886
combination	0.0542809
production	0.0542655
undertaking	0.0542572
enforcement	0.0542043
learning	0.05405
ability	0.0539994
enhancement	0.0538851
process	0.053869
preparation	0.0538584
deregulation	0.0537069
"political relation"	0.0537004
manner	0.05364
transformation	0.0536133
"decision making"	0.0535285
concert	0.0533898
album	0.0532878
supervision	0.0532761
policy	0.053228
measure	0.0532145
bid	0.0530925
debate	0.0528752
modernization	0.052875
framework	0.0528268
opportunity	0.0527592
commerce	0.0527131
globalization	0.0526529
"trade agreement"	0.0524811
rapport	0.052383
trend	0.0523458
tourism	0.0523016
mediation	0.052123
flexibility	0.0520547
financing	0.0519919
input	0.0519752
reduction	0.0519167
democracy	0.0518947
clash	0.0518796
competitiveness	0.0518051
behavior	0.0517956
contribution	0.0517794
industrialization	0.0517259
overhaul	0.0517255
spirit	0.0517012
accomplishment	0.0516915
presence	0.0515821
tolerance	0.0515412
renewal	0.0514898
enterprise	0.0514849
activism	0.0514494
establishment	0.0514234
))
(collaborative (desc 4157.98) (sims
hands-on	0.132823
proactive	0.131899
Hands-off	0.122201
U.S.-Russian	0.10867
Asia-Europe	0.104368
"cutting edge"	0.102894
anything-goes	0.102781
U.S.-Japan	0.102219
Anglo-American	0.100564
Japan-U.S.	0.0966152
multimedia	0.0960134
minimalist	0.0940067
take-no-prisoners	0.0928493
Franco-German	0.0901315
two-step	0.0887651
"laissez faire"	0.0887273
expansionist	0.0874562
Sino-French	0.0866199
multiyear	0.0862307
scattershot	0.086094
business-to-business	0.0860718
pan-European	0.0854345
Sino-Japanese	0.0836757
nuts-and-bolts	0.0823054
e-business	0.0818556
filtering	0.0803068
web-based	0.0779841
beautification	0.0779747
"problem solving"	0.077908
Sino-Russian	0.0766217
go-slow	0.075588
market-oriented	0.0750591
sub-regional	0.074352
personalization	0.0741151
grassroot	0.0723047
defining	0.0722435
"investment banking"	0.0718645
"free form"	0.0713458
SETI	0.0704463
five-point	0.07016
transformative	0.0699915
Sino-British	0.0699104
"New Democrat"	0.0689223
"tax avoidance"	0.0687924
Sino-African	0.0680709
Sigma	0.0677214
lifesaving	0.0675363
"Sea Launch"	0.0667418
up-and-down	0.0665265
decadelong	0.0660839
BoT	0.0659981
remediation	0.0654576
decoding	0.0640489
CCF	0.0639866
ecotourism	0.0631064
reforestation	0.0629098
Russian-U.S.	0.062627
pan-African	0.0624599
declassification	0.0624397
pro-business	0.0614494
China-U.S.	0.0611722
phonics	0.0609856
customization	0.060814
Sino-U.S.	0.0605644
protectionist	0.0603448
"avant garde"	0.0598106
world-class	0.0594756
post-@@@@	0.0593197
hedging	0.0589804
similiar	0.0585673
"R&AMP;D"	0.0585358
self-help	0.0583687
Internet@	0.0582315
telemedicine	0.0580224
contrarian	0.0579403
"mutually exclusive"	0.0577556
profit-sharing	0.0576116
"pen pal"	0.057596
branding	0.0572887
"tit for tat"	0.0568472
eugenics	0.0565812
cost-conscious	0.0563511
indie	0.0562579
Behind-the-scenes	0.0562089
"Windows CE"	0.0559654
six-point	0.0557826
uptempo	0.0555905
Eudora	0.0555501
in-depth	0.055508
foreign-funded	0.0554719
U.S.-China	0.0554019
Non-governmental	0.0550981
emulation	0.0550027
handheld	0.0549079
"billion dollar"	0.0548743
"attack dog"	0.0548254
"million Dollar"	0.0546765
no-frills	0.0544731
Gnutella	0.0541289
fast-paced	0.0539727
"soil conservation"	0.0539511
childcare	0.0537563
teamwork	0.0537556
weight-loss	0.0534148
nuclear-weapons	0.0532271
ASEM	0.0531928
interdiction	0.0530635
two-decade	0.0530582
"Microsoft Office"	0.0529574
"Agenda @@@@"	0.0529185
oil-for-food	0.0528982
populist	0.052734
"chamber music"	0.052694
B@B	0.0525878
nurturing	0.0525413
"early childhood"	0.052402
elitist	0.0523337
Israeli-Palestinian	0.0522825
"Robin Hood"	0.0521701
three-year	0.0520994
IC	0.0518583
reemployment	0.0517911
O'Connor's	0.0516725
fast-track	0.0515178
multimillion	0.0512828
"information gathering"	0.0511384
triangulation	0.0511239
broadband	0.0508526
carpentry	0.0507224
Bauhaus	0.0506518
hyper	0.0506456
interagency	0.050551
Luddite	0.0504723
one-to-one	0.0504108
rote	0.0503149
longterm	0.0502194
"germ warfare"	0.0500859
"Third Way"	0.0499444
"Delta @"	0.0498684
visualization	0.049856
surrealist	0.0497894
downbeat	0.04978
merchandising	0.0496316
mapping	0.049603
Israeli-Arab	0.0494843
U.S.-led	0.0494411
"cost cutting"	0.0492691
IP	0.0491843
sensitization	0.0490979
retro	0.049035
cappella	0.0489688
synchronization	0.048892
self-improvement	0.0487935
as-yet	0.0487327
revivalist	0.0486091
"flood control"	0.0486031
"leading edge"	0.0485595
broad-based	0.0485567
"Vision @@@@"	0.0485151
imaging	0.0485085
"land development"	0.0483509
backdoor	0.0479301
rectification	0.0477989
"information superhighway"	0.0477601
"bricks and mortar"	0.0477152
high-stakes	0.0476047
commissioning	0.047446
"prima donna"	0.04744
in-house	0.0474307
"Windows @.@"	0.0473086
good-neighborly	0.0471268
"face saving"	0.046973
"family planning"	0.0469533
"artificial intelligence"	0.04668
"Microsoft Windows"	0.046601
round-the-clock	0.0465795
bravura	0.0464383
automation	0.0464027
SDH	0.0461897
small-business	0.0461693
Bobo	0.0460937
ten-year	0.0460246
conducting	0.045936
barter	0.0458978
editing	0.0458909
"high technology"	0.0458794
reclamation	0.0458645
six-year	0.0457342
dollarization	0.045712
emulator	0.0456837
picky	0.0456079
DOS	0.0453892
"earth science"	0.0453669
Priceline	0.0452024
user-friendly	0.0451822
win-win	0.0449822
on-and-off	0.0449558
"quick fix"	0.0448404
Unix	0.0446141
browsing	0.0445086
))
(collaborator (desc 20338.5) (sims
"war criminal"	0.0886166
accomplice	0.0851008
spy	0.0808139
sympathizer	0.0787106
traitor	0.0760519
informer	0.0745055
murderer	0.0671806
associate	0.0670197
TORTURER	0.0667796
terrorist	0.06611
confidant	0.0648895
enemy	0.0645357
cinematographer	0.0642387
companion	0.0639025
criminal	0.0637454
comrade	0.0636407
"church member"	0.0632686
soulmate	0.0627791
confidante	0.0622266
composer	0.0622241
infiltrator	0.0615083
racist	0.0615073
dissident	0.0610868
perpetrator	0.0600054
"soul mate"	0.0591369
co-conspirator	0.0590725
choreographer	0.0586564
colleague	0.0584442
ghostwriter	0.0583304
conspirator	0.0583225
acquaintance	0.0583005
crony	0.0581494
writer	0.0579817
attacker	0.0574863
saboteur	0.0574342
activist	0.0574293
"fellow traveler"	0.0573453
ally	0.057284
"intelligence agent"	0.0572388
informant	0.0572148
mentor	0.0570494
deserter	0.0569682
co-worker	0.0568775
felon	0.0567343
physicist	0.0566489
"drug dealer"	0.0564795
translator	0.0559971
troublemaker	0.0558707
fascist	0.0553337
follower	0.0552334
liar	0.055124
coauthor	0.0549236
assassin	0.0548563
robber	0.054731
"law partner"	0.0545367
musician	0.054507
biographer	0.0543708
Lieutenant	0.0541831
eccentric	0.0540262
extremist	0.0540257
Rapist	0.0539407
thug	0.0538368
tormentor	0.0533587
trafficker	0.0532995
"secret agent"	0.0529145
adversary	0.0528577
mercenary	0.0527458
prisoner	0.0527078
operative	0.0526666
assailant	0.0526351
antagonist	0.0526265
"army officer"	0.0525738
renegade	0.0522613
underling	0.0521613
Killer	0.0520908
performer	0.0520898
kidnapper	0.0520765
lover	0.0520293
admirer	0.0519529
aggressor	0.0518882
ringleader	0.0518755
"leading lady"	0.051834
scientist	0.0518175
publicist	0.0518157
screenwriter	0.051697
buddy	0.0514599
adviser	0.0514117
militiaman	0.0513518
journalist	0.0513344
researcher	0.0510345
"role model"	0.05098
"family member"	0.0509083
prostitute	0.0508817
author	0.0507173
protector	0.0502576
"political prisoner"	0.050184
co-star	0.0498978
smuggler	0.0498033
mistress	0.0497558
"drug trafficker"	0.0497066
critic	0.0494047
violator	0.0492056
radical	0.0492012
commando	0.0491839
bodyguard	0.0491295
panelist	0.049077
statesmen	0.0490673
photographer	0.0489388
"intelligence officer"	0.048919
songwriter	0.048798
girlfriend	0.0487448
instigator	0.0487381
theologian	0.0485103
aide	0.048507
opportunist	0.0483858
politician	0.0483405
"guinea pig"	0.0482503
Pioneer	0.0482271
technician	0.048215
arranger	0.0481115
staffer	0.0480029
puppet	0.0479828
scriptwriter	0.0478887
propagandist	0.047888
collaboration	0.0478279
Kin	0.0477909
militant	0.0477884
captive	0.0477425
protege	0.0477208
scholar	0.0477092
villain	0.0476913
"graduate student"	0.0476601
designer	0.0476233
"military officer"	0.047617
historian	0.0476058
"secret police"	0.0475892
mastermind	0.0475791
gunmen	0.0475686
neo-Nazis	0.04751
coworker	0.0474937
lawbreaker	0.0474327
benefactor	0.0474048
has-been	0.0474023
practitioner	0.0473735
fighter	0.0473157
bandit	0.047257
surrogate	0.047242
"pen pal"	0.0472387
entertainer	0.047183
culprit	0.0471237
policemen	0.0469818
archivist	0.0469582
interlocutor	0.0469302
accompanist	0.0467872
looter	0.0467672
witch	0.0466918
thief	0.0466215
combatant	0.0466201
backer	0.0466044
filmmakers	0.0465645
offender	0.0465167
ideologue	0.046446
intellectual	0.0463759
luminary	0.046353
correspondent	0.0463463
pianist	0.0463453
contributor	0.0462697
"best friend"	0.0461396
patron	0.046122
crook	0.0460081
Programmer	0.0459986
abuser	0.0459267
poet	0.0459114
participant	0.045835
lyricist	0.0457957
singer	0.0457384
philosopher	0.0457106
disciple	0.0456463
breadwinner	0.0456266
plotter	0.0456111
visionary	0.0455973
medic	0.0454155
assistant	0.0454134
editor	0.0453393
"department head"	0.0451866
Hijacker	0.0451775
cohort	0.0451554
paramour	0.0450988
"military leader"	0.0450349
genius	0.0449796
juvenile	0.0449213
co-defendants	0.0449067
"fashion designer"	0.0448616
pedophile	0.0448373
policeman	0.0448227
"political leader"	0.0448169
subordinate	0.0447039
"sparring partner"	0.0446921
mathematician	0.0446855
storyteller	0.0446379
))
(collage (desc 13406.9) (sims
"oil painting"	0.122213
montage	0.10919
watercolor	0.108333
lithograph	0.10743
sculpture	0.10473
gouache	0.10386
woodcut	0.0994354
tapestry	0.0974929
painting	0.095789
drawing	0.0957716
etching	0.0899394
portrait	0.0879262
assemblage	0.0878438
sketch	0.0854307
scrapbook	0.0849861
mosaic	0.0822381
reproduction	0.0807975
photograph	0.0791661
mural	0.0779207
engraving	0.0777929
illustration	0.0771217
calligraphy	0.07661
pastiche	0.0715193
rendering	0.0704655
photography	0.0703424
collection	0.0698181
carving	0.0695388
cutout	0.0692145
poster	0.0650963
"jigsaw puzzle"	0.0649687
Triptych	0.064721
Anthology	0.0645582
juxtaposition	0.0637517
"wall painting"	0.0636815
tableau	0.0632355
self-portraits	0.0630762
artwork	0.0617405
ceramic	0.0610142
"work of art"	0.0608951
tableaux	0.0602071
"still life"	0.0600789
"wall hanging"	0.0598585
artifact	0.0596581
"piece of furniture"	0.0593583
abstraction	0.0589765
Panorama	0.058356
blowup	0.0581969
installation	0.0579436
jumble	0.0576153
embroidery	0.0573508
cartoon	0.0572789
snippet	0.0572127
stills	0.0567102
manuscript	0.0560964
poem	0.0560863
masterpiece	0.055987
kaleidoscope	0.0553345
landscape	0.0545996
narrative	0.0544017
essay	0.0541549
replica	0.0539544
compilation	0.053792
poetry	0.0531711
array	0.0531448
porcelain	0.0525073
handicraft	0.0519906
travelogue	0.0519433
re-creation	0.0518643
costume	0.0517015
animation	0.051611
statue	0.0515423
sequence	0.0513795
presentation	0.0513009
trove	0.0512289
scroll	0.0510264
"historical document"	0.0509431
pastel	0.0509067
prose	0.0507698
blur	0.0506777
graphics	0.0505408
architecture	0.0505048
closeup	0.0504412
"folk art"	0.0503035
evocation	0.0502496
Diagram	0.0502422
ornament	0.0502142
figurine	0.0500859
Pottery	0.0500374
"stained glass"	0.0498938
backdrop	0.0496696
quilt	0.049324
canvas	0.0493212
postcard	0.0492644
puzzle	0.0492062
retrospective	0.0489905
decoration	0.0487072
"stage set"	0.0486275
fresco	0.0481232
Recording	0.0476476
ensemble	0.0475615
snapshot	0.0471142
furniture	0.0470368
idiom	0.0468763
melange	0.0466857
mishmash	0.0465991
meditation	0.0465324
gallery	0.0465168
diary	0.0463407
biography	0.0463265
clip	0.0462531
"cast of characters"	0.0461939
hodgepodge	0.0461858
"mushroom cloud"	0.0461043
soundtrack	0.0455754
Compendium	0.0452069
vignette	0.0451193
motif	0.0450004
extravaganza	0.0449942
"flower arrangement"	0.0449037
archive	0.0448942
scraps	0.0447914
"set piece"	0.0447586
depiction	0.0447008
Revue	0.0443509
rectangle	0.0442875
imagery	0.0442854
texture	0.0441717
"baseball card"	0.0438792
nude	0.0438139
graph	0.043812
jewelry	0.0438031
"melting pot"	0.0437998
description	0.0436846
fusion	0.043684
"line drawing"	0.0436264
"newspaper clipping"	0.0435531
text	0.0434347
parody	0.0434217
distillation	0.0434125
"floor plan"	0.0433662
overview	0.0433618
crescendo	0.0433285
theatricality	0.0433115
assortment	0.0432811
miniature	0.0432524
symphony	0.0431591
self-portrait	0.043017
"stained-glass window"	0.0428576
fiction	0.0424755
clipping	0.0424622
"film clip"	0.0424227
retrospectives	0.042344
memento	0.0421978
editing	0.0421655
smorgasbord	0.0421219
"greeting card"	0.042091
icon	0.0420119
Rhapsody	0.0419672
swatch	0.0418928
"home movie"	0.0418497
excerpt	0.0416551
statuary	0.0416129
watermark	0.041594
Masterworks	0.041525
"musical instrument"	0.0415005
Impressionist	0.0413913
synthesis	0.041355
verse	0.0412285
interpretation	0.0412066
databank	0.0410822
rug	0.0410203
cacophony	0.0409137
fragment	0.0408229
composition	0.0406443
amalgam	0.0406346
fantasy	0.0406321
spectacle	0.0405177
choreography	0.0404944
portraiture	0.0404912
profusion	0.0403815
mannequin	0.0400346
silhouette	0.0400215
))
(collagen (desc 3588.71) (sims
Botox	0.128253
interferon	0.109679
insulin	0.105266
"growth hormone"	0.100422
telomerase	0.0930678
enzyme	0.0910767
cortisone	0.089293
cellulose	0.0851732
tremolite	0.0839588
"essential oil"	0.0769332
toxin	0.0746069
penicillin	0.0743344
"blood cell"	0.0701462
Endostatin	0.0692718
carbohydrate	0.0685403
"red blood cell"	0.0674697
leptin	0.0657257
"amino acid"	0.0649346
hormone	0.064288
encephalopathy	0.0640155
mucus	0.0638296
melatonin	0.063335
starch	0.0618735
"cane sugar"	0.0610904
carbon	0.0607208
polypropylene	0.060681
isotope	0.0603291
protein	0.0600834
antibody	0.0600533
latex	0.0592565
sisal	0.0590173
CFCs	0.058742
Calcium	0.058728
antifreeze	0.0584345
acid	0.0578857
cartilage	0.0578489
"internal organ"	0.0577195
anti-inflammatory	0.0576897
hydrocarbon	0.0575485
"human growth hormone"	0.0575114
potassium	0.0551481
"Ginkgo biloba"	0.0550157
hemoglobin	0.0546695
mitochondria	0.0539697
estrogen	0.0538024
sodium	0.053529
carotene	0.0533772
asbestos	0.0531933
biomass	0.0531111
"chemical compound"	0.0529596
talc	0.052422
dopamine	0.0521566
"connective tissue"	0.0519953
fiber	0.0516597
sperm	0.0515062
lactose	0.0511313
capsaicin	0.051037
nutrient	0.0509529
tritium	0.0508621
biogas	0.050613
"fatty acid"	0.0505897
painkiller	0.0503712
"free radical"	0.0502551
placebo	0.0497877
membrane	0.0497106
antioxidant	0.0492467
sulfur	0.0487482
"muscle cell"	0.0484949
pulp	0.0481091
tannin	0.0478608
antigen	0.047801
testosterone	0.0476634
plutonium	0.047442
polymer	0.0471394
"electric current"	0.047098
resin	0.0470216
flax	0.0468833
silicone	0.0463718
additive	0.046337
EPO	0.0462718
brine	0.0461885
hGH	0.0459275
hydrogen	0.045599
chloride	0.0455841
cholesterol	0.0453279
"dark red"	0.0452592
refrigerant	0.045067
ENBREL	0.0448485
ammonia	0.0447721
pigment	0.0447357
T-cells	0.0446699
nitrogen	0.0443738
taupe	0.0443373
methanol	0.0441601
semen	0.0439676
iodine	0.043593
Erythropoietin	0.0435132
"one ton"	0.0435078
Sulphur	0.0434728
vitamin	0.0434538
"brain cell"	0.0430887
receptor	0.0429936
glucose	0.0425204
silicon	0.0423594
"water vapor"	0.0423112
"nitric oxide"	0.0421755
adrenaline	0.0421125
"vitamin A"	0.0420331
clot	0.0419242
algae	0.0417321
cataract	0.0414732
adrenalin	0.0412242
"folic acid"	0.0410521
"sex hormone"	0.0409981
Avonex	0.0409003
thyroid	0.0405515
"carbon monoxide"	0.0404406
gallstone	0.0402467
angiostatin	0.0402301
))
(collapse (desc 82488.8) (sims
meltdown	0.182381
devaluation	0.167863
disaster	0.153127
downturn	0.152266
recession	0.151741
turmoil	0.150115
crisis	0.149535
instability	0.148101
disintegration	0.145849
slowdown	0.144478
plunge	0.14446
"economic crisis"	0.143716
breakdown	0.142482
crash	0.14201
failure	0.141419
demise	0.139792
decline	0.136633
upheaval	0.134591
slump	0.133997
breakup	0.133698
explosion	0.131805
shortage	0.126387
deterioration	0.12498
flood	0.124111
famine	0.123555
unrest	0.12273
drought	0.120915
crises	0.120339
slide	0.119671
outbreak	0.119619
surge	0.119065
earthquake	0.11843
defeat	0.117984
catastrophe	0.117703
chaos	0.117568
bankruptcy	0.117508
loss	0.117451
woe	0.116735
weakness	0.114784
drop	0.113417
tragedy	0.113258
accident	0.113237
depreciation	0.113015
bombing	0.112318
shutdown	0.111705
turbulence	0.109973
incident	0.108948
volatility	0.108644
disruption	0.108342
debacle	0.108287
selloff	0.107487
scandal	0.107319
erosion	0.107035
Death	0.105626
riot	0.105503
invasion	0.105395
default	0.105201
sell-off	0.105051
rise	0.104894
massacre	0.104726
epidemic	0.104384
eruption	0.10304
spill	0.102384
fall	0.102105
Quake	0.101265
coup	0.101247
destruction	0.100883
blast	0.099695
closure	0.0995891
calamity	0.0994303
attack	0.099024
landslide	0.0981602
fluctuation	0.0981142
takeover	0.0979065
war	0.0974347
blackout	0.0962764
strike	0.0960562
problem	0.0954115
downfall	0.0951516
Collision	0.0949907
insolvency	0.0948901
violence	0.094874
cancellation	0.0948533
weakening	0.0947952
clash	0.094431
boom	0.094331
setback	0.0934731
extinction	0.0930686
trouble	0.0929539
inflation	0.0928484
fire	0.0920203
delay	0.0919206
conflict	0.091916
defection	0.0916066
recovery	0.0909721
storm	0.0908075
"flash flood"	0.0906196
crunch	0.0904406
change	0.0903164
layoff	0.0901606
"civil war"	0.0901011
killing	0.0900582
uncertainty	0.0900319
shortfall	0.0899778
disappearance	0.08891
"price increase"	0.08887
shooting	0.0888061
spate	0.0881262
lack	0.0874137
mishap	0.0873573
mudslide	0.0872472
tornado	0.0867068
escalation	0.0864371
degradation	0.0864075
arrest	0.086276
bloodshed	0.0859794
consolidation	0.0858306
confrontation	0.0854678
resignation	0.0852261
illness	0.0851907
difficulty	0.0851247
injury	0.0848801
influx	0.0848347
rejection	0.0848302
assassination	0.0847289
hike	0.0846979
emergence	0.0845416
contraction	0.0844319
raid	0.0844044
ouster	0.0842234
hardship	0.083817
unemployment	0.0834151
impact	0.0833335
upsurge	0.0831563
leak	0.0831049
disturbance	0.0828589
starvation	0.0828565
tumble	0.0827757
glitch	0.082323
expansion	0.0818846
exodus	0.0817102
resurgence	0.0816211
inability	0.0815211
Depression	0.081242
deflation	0.0810626
oversupply	0.0809711
corruption	0.0808469
sinking	0.0807738
panic	0.0805781
reversal	0.0805582
paralysis	0.0803862
seizure	0.0799358
firing	0.0798147
growth	0.0798112
cutback	0.0796312
departure	0.0793741
"bomb blast"	0.0792703
rioting	0.0792673
bailout	0.0792073
decrease	0.0791922
"forest fire"	0.0791564
wave	0.0790579
increase	0.0789846
turnaround	0.0786983
divorce	0.0785925
"oil price"	0.0782812
glut	0.0782321
merger	0.0780891
shift	0.078014
situation	0.0776211
Dismissal	0.0773518
decision	0.0773342
"heat wave"	0.076959
implosion	0.0766855
withdrawal	0.0766792
hyperinflation	0.0766216
falls	0.0764
upturn	0.0763791
revolution	0.0763684
tension	0.0761643
dissolution	0.0758228
damage	0.0757213
success	0.0755653
confusion	0.0754024
crackdown	0.0749713
"Hurricane Mitch"	0.0749567
deregulation	0.0749012
"rapid growth"	0.074865
launch	0.0747595
lapse	0.0745407
downturns	0.0745085
intervention	0.0742441
poverty	0.0741922
stagnation	0.0741817
fallout	0.0741634
sanction	0.0741072
elimination	0.074012
mismanagement	0.0739712
gyration	0.0737334
announcement	0.073714
))
(collar (desc 26341.9) (sims
sleeve	0.171109
lapel	0.155208
cuff	0.138377
jacket	0.138069
vest	0.136946
skirt	0.132804
shirt	0.130895
pant	0.128176
trouser	0.126834
scarf	0.125177
hat	0.119463
hem	0.118181
blouse	0.116544
coat	0.115619
sweater	0.107951
neckline	0.102748
turtleneck	0.0983739
"bow tie"	0.097946
dress	0.0948534
bodice	0.0943845
strap	0.0941728
tunic	0.0938248
"dress shirt"	0.0934542
apron	0.0930386
parka	0.0929884
necktie	0.092493
pullover	0.0921502
waistcoat	0.0901114
jean	0.0891481
belt	0.0888171
shoe	0.0887413
button	0.0883789
robe	0.0881137
Poncho	0.0868931
bra	0.0866786
suspender	0.0862966
boot	0.0861576
sock	0.0855659
necklace	0.085221
bracelet	0.0828557
"baseball cap"	0.0825701
overcoat	0.0824509
corset	0.0822054
hair	0.0814931
helmet	0.0813755
cap	0.0813383
sweatshirt	0.0811189
sandal	0.0808106
sunglasses	0.0806676
coverall	0.0798573
jumpsuit	0.0794529
"cowboy boot"	0.0792007
T-shirt	0.0791929
ruffle	0.0790809
handbag	0.0789489
suit	0.0787946
pants	0.0775967
slipper	0.076899
glove	0.076537
beret	0.0763551
tights	0.0758726
wig	0.075212
fabric	0.0745019
slack	0.0744694
embroidery	0.0744439
"leather jacket"	0.0742997
shawl	0.0734276
Zipper	0.0733782
cloth	0.0733727
BOA	0.0733565
tiara	0.0726594
turban	0.0723628
Cape	0.0722452
stripe	0.0722146
badge	0.0721192
cardigan	0.0719129
ribbon	0.0714956
yarmulke	0.0711622
fur	0.0711482
gown	0.0711184
"top hat"	0.0707556
smock	0.0701476
headband	0.0699845
pocket	0.0698208
backpack	0.0697485
leash	0.0691084
pin	0.0689988
uniform	0.0689295
bellbottoms	0.0677072
earring	0.0676352
bandana	0.0675964
sneaker	0.0675556
lining	0.067097
bag	0.0670215
"sweat pants"	0.0668619
windbreaker	0.0666464
"blue jean"	0.0663844
mitten	0.0661556
waist	0.0657285
stole	0.0653093
mask	0.0653075
blazer	0.0652409
Hood	0.0650706
Outfit	0.0647363
camisole	0.0645565
knickers	0.0638883
tail	0.0635161
trousers	0.0629805
tag	0.0628707
underwear	0.0627401
sheath	0.0627316
tuxedo	0.0627267
curtain	0.0627105
fedora	0.0626118
raincoat	0.062606
neck	0.0625969
sequin	0.0625874
miniskirts	0.0625873
bead	0.0625696
leather	0.0620593
"trench coat"	0.0619843
Clothing	0.0615983
"name tag"	0.0615167
"business suit"	0.0612636
legging	0.0612545
"cowboy hat"	0.0612153
wristband	0.0611808
feather	0.0610961
"polo shirt"	0.0610792
seam	0.0607877
"pants suit"	0.0607867
"straw hat"	0.0607855
khaki	0.0605795
pouch	0.0604743
choker	0.0604563
headdress	0.0601816
jewelry	0.0601665
harness	0.0600829
mustache	0.0598565
headgear	0.0598543
stripes	0.0598427
gloves	0.0597272
Sash	0.0589937
"hard hat"	0.0589024
loafer	0.0588797
jersey	0.0587886
"feather boa"	0.058707
bikini	0.0586596
pillow	0.0586537
rope	0.0586067
Bonnet	0.058386
halter	0.0582518
pantsuit	0.058184
cord	0.0581079
briefcase	0.0577532
"hot pants"	0.0576647
"fur coat"	0.0576189
eyeglass	0.0575995
pad	0.0573387
costume	0.0572862
lace	0.0572232
hose	0.0570859
logo	0.0569213
goggles	0.0568661
tablecloth	0.0566344
stocking	0.0565628
purse	0.055931
garment	0.0546247
rack	0.0546056
skin	0.054525
blanket	0.0543771
handkerchief	0.0542282
underpants	0.0539437
noose	0.0537736
Beard	0.0536806
headset	0.0534469
kimono	0.0527676
rhinestone	0.0525394
veil	0.0523215
towel	0.052242
patch	0.0515525
pajama	0.0513432
makeup	0.0513276
glass	0.0512779
box	0.0508399
armband	0.0505632
plastic	0.0499472
chiffon	0.0499146
antenna	0.0498853
wallet	0.0498832
belly	0.0498413
sticker	0.0497558
tile	0.0496421
"tennis shoe"	0.0496394
accessory	0.0495963
"ski mask"	0.0495113
bandanna	0.0492931
frame	0.0489665
"cocktail dress"	0.0486244
visor	0.0482694
))
(collarbone (desc 8125.34) (sims
pelvis	0.24841
kneecap	0.231231
sternum	0.209009
ankle	0.191094
"shoulder blade"	0.183345
femur	0.1829
rib	0.180706
vertebrae	0.179848
vertebra	0.177888
fibula	0.176494
ligament	0.176269
concussion	0.174566
wrist	0.173758
tibia	0.168653
groin	0.164304
hamstring	0.162556
"ring finger"	0.161808
sprain	0.160708
"leg bone"	0.1464
knee	0.145534
cheekbone	0.143855
fracture	0.143554
elbow	0.141438
forearm	0.139779
tendon	0.139652
"eye socket"	0.135115
shoulder	0.133335
thigh	0.130199
thumb	0.128539
hip	0.128317
pinkie	0.122551
jaw	0.12118
contusion	0.121127
"index finger"	0.117122
laceration	0.114771
quadriceps	0.113934
injury	0.113199
"achilles tendon"	0.111891
bruise	0.109809
toe	0.10227
Foot	0.10194
flexor	0.100644
"left hand"	0.100128
"little finger"	0.100081
neck	0.099885
ACL	0.0978673
muscle	0.095389
"right hand"	0.0935271
finger	0.0927818
bone	0.089737
tendinitis	0.0896539
abdomen	0.0887231
cuff	0.0849177
"rib cage"	0.0831753
lung	0.082023
Achilles	0.0811261
spine	0.0808386
triceps	0.0801591
larynx	0.0793027
shin	0.0777584
hemorrhage	0.0755506
buttock	0.0754361
skull	0.07407
biceps	0.0725167
Pinky	0.0724129
"middle finger"	0.0722422
sore	0.0699861
calf	0.069078
cartilage	0.0679488
spleen	0.0673122
flu	0.0665035
nose	0.0657679
"back pain"	0.0642038
chest	0.06376
spasm	0.0629034
knuckle	0.0627662
eardrum	0.0606105
ailment	0.0594391
labrum	0.0584744
"colon cancer"	0.0582919
abrasion	0.057575
waist	0.057547
hernia	0.056738
stomach	0.0563214
no-decision	0.0558078
"spinal cord"	0.0555711
"seven homers"	0.0545871
brisket	0.053948
nerve	0.0528467
"heart attack"	0.052387
eyelid	0.0499251
ulcer	0.0499211
torso	0.0497319
cramp	0.0496382
retina	0.0488464
splint	0.0482868
"lower jaw"	0.048247
syndrome	0.0480251
"five homers"	0.0479744
armpit	0.047605
diaphragm	0.0474796
Gash	0.047417
jawbone	0.0473113
pane	0.0472271
kidney	0.0470389
forefinger	0.0462542
Stinger	0.0461466
Tooth	0.0458474
interception	0.0456655
limb	0.045537
"black eye"	0.0451819
hairline	0.0450694
sinus	0.0438262
Chin	0.0431089
tightness	0.0430613
no-decisions	0.0429945
breast	0.0429864
meniscus	0.0425965
"water main"	0.0423774
fingernail	0.0422631
cheek	0.0421076
"four sacks"	0.0418502
"heart condition"	0.0417637
lymphoma	0.0416743
forehead	0.0415697
"blood clot"	0.0414173
lobe	0.0410295
denture	0.0405465
"Jason Taylor"	0.0404903
pneumonia	0.0404026
shoelace	0.0403739
"losing streak"	0.0403125
stiffness	0.0402712
"rear end"	0.0401945
"three match points"	0.0400506
inflammation	0.0400443
"five @-pointers"	0.0400437
))
(Collard (desc 3714.54) (sims
"collard greens"	0.283307
okra	0.21669
Kale	0.196678
cauliflower	0.177765
"bok choy"	0.177361
chard	0.174228
lettuce	0.170406
turnip	0.169066
"Swiss chard"	0.161524
spinach	0.159817
radish	0.158759
cabbage	0.153219
Broccoli	0.152494
"brussels sprout"	0.147943
"green bean"	0.146348
"sweet potato"	0.144873
celery	0.14449
"Chinese cabbage"	0.144394
carrot	0.142634
zucchini	0.136486
arugula	0.133147
"winter squash"	0.132941
rutabaga	0.13287
Chickpea	0.127159
Endive	0.121815
squash	0.121576
leek	0.121379
mesclun	0.11972
potato	0.118949
beet	0.118221
"lima bean"	0.117104
pea	0.11699
onion	0.114891
"string bean"	0.109172
romaine	0.105711
tomato	0.103424
eggplant	0.102384
bean	0.101754
asparagus	0.101584
artichoke	0.101442
frisee	0.100658
"white bean"	0.100033
parsnip	0.0998239
"black bean"	0.0981151
lentil	0.0971776
Sorrel	0.0969777
"black-eyed pea"	0.0966721
scallion	0.0964477
cucumber	0.0963093
"green onion"	0.0914488
Garlic	0.0907767
"root vegetable"	0.0887253
parsley	0.0884236
plantain	0.0881485
corn	0.0878954
fennel	0.0875519
watermelon	0.086671
"bell pepper"	0.0862043
cassava	0.0844098
mustard	0.0837403
mushroom	0.0831307
sorghum	0.0828682
radicchio	0.0828565
alfalfa	0.0820502
"green pepper"	0.0817294
rapeseed	0.0810842
"red onion"	0.080732
cornbread	0.0804304
pumpkin	0.0803142
cilantro	0.0793609
"red pepper"	0.0790696
canola	0.0787234
"fava bean"	0.0780495
barley	0.0767062
"iceberg lettuce"	0.0765341
"bean sprout"	0.0747479
dandelion	0.0743461
melon	0.0741585
bacon	0.0739151
"roast beef"	0.0732858
cutlet	0.072604
ham	0.0722461
"white rice"	0.0717152
"tomato sauce"	0.0712498
shrimp	0.0709215
macaroni	0.070494
"brown rice"	0.0703494
watercress	0.0697403
sunflower	0.0693606
nettle	0.0692703
sausage	0.0691472
pork	0.0688682
soybean	0.068108
yam	0.0673685
Basil	0.0669257
meatloaf	0.0662077
Mulberry	0.0659007
"sugar beet"	0.0657748
tofu	0.065375
paprika	0.0653346
pickle	0.0648635
soup	0.0647502
spaghetti	0.0645948
crawfish	0.0640104
"beef tenderloin"	0.0638706
chanterelle	0.0636865
gumbo	0.0632752
salad	0.0631656
pineapple	0.0630685
"french fries"	0.0630361
"corned beef"	0.0628463
"snow pea"	0.0628222
"potato salad"	0.0625648
noodle	0.0623115
"raw meat"	0.062118
mussel	0.0620782
pancake	0.0619303
mozzarella	0.0613613
"sweet corn"	0.0613252
POTATOES	0.0612039
dill	0.0610553
steak	0.061052
biscuit	0.0607643
Yucca	0.0605395
herb	0.0602041
"corn chip"	0.0598196
peanut	0.0597425
thyme	0.0596563
Hamburger	0.0594024
meatball	0.0583527
veggie	0.058158
shallot	0.0580436
"ground beef"	0.0578021
latke	0.057666
horseradish	0.057637
"spring roll"	0.057174
florets	0.0570191
chive	0.0568389
prosciutto	0.0568198
pimento	0.0566901
"coconut milk"	0.0566139
mayonnaise	0.0565067
pasta	0.0563433
"water chestnut"	0.0563158
morel	0.0560496
Catfish	0.055224
dumpling	0.0551418
seafood	0.0547198
"green salad"	0.0546991
"chicken breast"	0.0545538
pancetta	0.054428
tarragon	0.0543405
cantaloupe	0.0542452
gourd	0.0541499
calamari	0.0540809
sauerkraut	0.0538161
peach	0.0538098
applesauce	0.0533787
"pecan pie"	0.0532322
walleye	0.0530999
chilies	0.0530481
pear	0.0526606
Milo	0.0525446
Parmesan	0.052484
millet	0.0523919
"meat loaf"	0.0523856
anchovy	0.0523236
"goat cheese"	0.0523121
"opium poppy"	0.0522439
Toto	0.0521791
"hot dog"	0.0520421
"salad greens"	0.0519011
bulgur	0.0518775
lemongrass	0.0518737
"hot pepper"	0.0517571
penne	0.0517362
jalapeno	0.0516276
Chili	0.0513411
"pine nut"	0.0511001
"romaine lettuce"	0.0510388
"hard-boiled egg"	0.0510131
burgers	0.0509431
oat	0.0509028
"peanut oil"	0.0508297
"white wine"	0.0502673
tuna	0.0502357
"chicken wing"	0.0499918
"pinto bean"	0.0499878
oyster	0.0498768
porridge	0.0498384
soya	0.0495073
COBBLER	0.0494877
chiles	0.0494045
oregano	0.0492745
gravy	0.0492628
waffle	0.0491634
Greens	0.0491357
"black olive"	0.0490313
croutons	0.0489002
puree	0.0487358
))
("collard greens" (desc 2641.09) (sims
Collard	0.283307
okra	0.198958
"bok choy"	0.159246
cabbage	0.156177
Broccoli	0.145909
"winter squash"	0.141282
cauliflower	0.138649
"brussels sprout"	0.129961
turnip	0.12778
"roast beef"	0.125011
carrot	0.122898
"green bean"	0.120864
"black-eyed pea"	0.118749
"sweet potato"	0.115635
pea	0.113934
"green salad"	0.113169
chard	0.109297
mesclun	0.109057
"Swiss chard"	0.108236
potato	0.107242
Kale	0.106394
"pinto bean"	0.10545
rutabaga	0.105424
lettuce	0.105308
spinach	0.104041
yam	0.10397
shortcake	0.10148
"white rice"	0.101167
"Chinese cabbage"	0.100617
meatloaf	0.0978468
"beef tenderloin"	0.0977997
frisee	0.0956451
"lima bean"	0.0943439
radish	0.0939406
"black bean"	0.0914206
bean	0.0909167
gravy	0.0882656
ham	0.0879109
onion	0.0871877
celery	0.0870948
"meat loaf"	0.0870626
leek	0.0863534
"macaroni and cheese"	0.085337
veggie	0.085276
sausage	0.0849499
cucumber	0.0846945
brisket	0.0843145
Endive	0.0841551
zucchini	0.083878
tomato	0.0825686
biscuit	0.0816927
"french fries"	0.0815486
"green onion"	0.0811849
"chicken sandwich"	0.0804238
"pot roast"	0.0802915
cornbread	0.0798899
coleslaw	0.0787546
gumbo	0.0783292
pork	0.0783107
croissant	0.0782788
squash	0.0779474
Chickpea	0.0779028
"potato salad"	0.0773154
"snow pea"	0.0772964
arugula	0.0761639
"pecan pie"	0.0761192
"green pepper"	0.0760717
mussel	0.0756291
asparagus	0.075176
Sorrel	0.0741055
mutton	0.0739928
parsnip	0.0738388
cashew	0.0737596
mustard	0.0736823
pasta	0.0734502
fajitas	0.0732053
"sugar beet"	0.072687
peanut	0.0724145
cassava	0.0720557
noodle	0.0718576
"raw vegetable"	0.0713087
"bean sprout"	0.0709739
fennel	0.0709423
beet	0.0706678
Garlic	0.0701053
sauerkraut	0.0698927
shallot	0.0693618
"chicken wing"	0.0678229
eggplant	0.0670454
"chicken breast"	0.0670428
Chili	0.0666562
plantain	0.0665489
sorghum	0.0654722
"raw meat"	0.0651596
"sugar cane"	0.0648763
macaroni	0.0646707
pilaf	0.064532
lentil	0.0644353
cutlet	0.0641161
artichoke	0.0637863
parsley	0.0635396
burgers	0.0632956
"leg of lamb"	0.0632011
gizzard	0.0623704
squid	0.0623297
pumpkin	0.0622469
quesadillas	0.0613038
"corn chip"	0.0612137
pickle	0.0608522
"corned beef"	0.0607456
Casserole	0.0604763
soybean	0.0603434
steak	0.0603267
"pumpkin pie"	0.0603236
bulgur	0.060284
watercress	0.0602727
"French toast"	0.0595659
"chicken salad"	0.0592723
"bell pepper"	0.0591521
polenta	0.0590835
COBBLER	0.0590502
"chocolate cake"	0.058503
Catfish	0.058457
"white bread"	0.0584387
cheeseburger	0.0583985
crawfish	0.0582611
octopus	0.0582011
marjoram	0.0581553
Basil	0.0575786
alfalfa	0.0574018
soya	0.0572002
bratwurst	0.0569641
"vegetable soup"	0.0569149
dumpling	0.0568041
"beef broth"	0.0564985
seaweed	0.0564457
"white bean"	0.0564311
"iceberg lettuce"	0.0561714
thyme	0.0560768
"fresh fish"	0.055931
Hamburger	0.0559208
"string bean"	0.0554585
tarragon	0.055164
tofu	0.0551058
barley	0.054847
"red pepper"	0.0544255
salami	0.054423
watermelon	0.0539952
chilies	0.053856
"Caesar salad"	0.0535398
"cherry tomato"	0.0533552
gingerbread	0.0533286
soy	0.0533166
"brown rice"	0.0530369
"beef cattle"	0.052756
"tuna fish"	0.0527505
chutney	0.0523734
"pine nut"	0.0523138
broth	0.0519049
slaw	0.0517345
"tortilla chip"	0.0508985
clam	0.0506353
cranberry	0.0506193
oatmeal	0.0505234
veal	0.0504518
"sea bass"	0.050357
Pudding	0.0501594
pineapple	0.0498069
seafood	0.0496664
"coconut milk"	0.0495211
"red onion"	0.049249
chorizo	0.0488028
pancetta	0.0487547
flan	0.0486182
"short ribs"	0.0484322
hummus	0.047923
"romaine lettuce"	0.0477372
venison	0.0476129
"wheat flour"	0.0475866
chive	0.0475383
chiles	0.0472749
bun	0.0471455
pastrami	0.0469746
"hard-boiled egg"	0.046949
spaetzle	0.0469192
tenderloin	0.0469089
tuna	0.0467335
tortilla	0.046656
spaghetti	0.0464865
millet	0.0464272
sparerib	0.0461994
"garlic clove"	0.0461488
truffle	0.0456668
gratin	0.0454351
scallion	0.045334
pear	0.0453013
chervil	0.0452028
"foie gras"	0.0451413
shank	0.0450898
latke	0.0450085
))
(collateral (desc 11750.6) (sims
meniscus	0.073822
inducement	0.0707211
incentive	0.0673694
documentation	0.0666923
compensation	0.062751
"bargaining chip"	0.0614299
"interest payment"	0.0599826
"credit line"	0.0566989
receivables	0.0564977
"down payment"	0.0557477
financing	0.0540838
"personal property"	0.0533787
corroboration	0.0532302
paperwork	0.0531598
"smoke screen"	0.0529688
"working capital"	0.0527712
"tax deduction"	0.0527087
smokescreen	0.0527069
bribe	0.0521459
hedge	0.051789
invoice	0.0514985
"direct evidence"	0.0510169
"battering ram"	0.0508967
cushion	0.0506184
write-off	0.0500863
leverage	0.0488415
"promissory note"	0.0488087
proceeds	0.0486681
"letter of credit"	0.0473021
repayment	0.0472597
proof	0.0472536
conduit	0.0471961
borrowing	0.0467831
liquidity	0.0462644
buffer	0.0462594
precaution	0.0462511
Ransom	0.0457204
"about @@@ million yuan"	0.0457055
mortgage	0.0452324
guarantor	0.0452094
reimbursement	0.0450974
restitution	0.0446394
"line of credit"	0.0444901
"tax break"	0.0442931
equity	0.0442572
benchmark	0.0441597
justification	0.0439652
"breathing space"	0.0438452
motivation	0.0437793
ACL	0.0435714
cartilage	0.0433142
deduction	0.0430446
borrower	0.0429214
"investment portfolio"	0.0428492
"financial aid"	0.0428441
"reserve fund"	0.0426873
input	0.0425015
monies	0.042236
lifeboat	0.0419431
haven	0.04189
Manpower	0.0416881
"legal representation"	0.0414934
"safety feature"	0.0412942
proxy	0.0412346
headroom	0.0411265
dowry	0.0407556
firepower	0.0407366
"application form"	0.040472
"circumstantial evidence"	0.0403243
"safety valve"	0.0402897
"venture capital"	0.0402447
payouts	0.0402377
"measuring stick"	0.0402135
"breathing room"	0.0401434
"reference point"	0.0401326
corrective	0.0400138
))
(colleague (desc 114074) (sims
friend	0.155
co-worker	0.145428
lawmaker	0.14081
member	0.130147
legislator	0.124322
official	0.12392
Republican	0.122647
aide	0.12092
scientist	0.120449
supporter	0.119837
politician	0.11659
doctor	0.1148
Democrat	0.11458
senator	0.113816
leader	0.113461
peer	0.113097
critic	0.112789
journalist	0.111853
neighbor	0.111646
others	0.111396
associate	0.110833
classmate	0.110572
teammate	0.110381
employee	0.108904
people	0.108635
reporter	0.108433
researcher	0.107324
ally	0.106954
lawyer	0.106912
student	0.105961
officer	0.105659
expert	0.105488
parent	0.103908
activist	0.103845
"family member"	0.103147
relative	0.103025
fan	0.102924
"staff member"	0.102194
executive	0.101595
staffer	0.101512
voter	0.101162
counterpart	0.100837
wife	0.100579
prosecutor	0.0993046
staff	0.0979682
congressmen	0.0971913
scholar	0.0970128
teacher	0.0968097
Reader	0.0967944
delegate	0.0957472
husband	0.0951391
resident	0.0949634
constituent	0.0939885
conservative	0.0936781
worker	0.0930824
anyone	0.0919673
acquaintance	0.091322
public	0.0912191
manager	0.0908096
player	0.0906475
judge	0.0902882
diplomat	0.0901883
everyone	0.089612
opponent	0.0895862
juror	0.0891266
client	0.0884535
"council member"	0.0883405
partner	0.0881019
man	0.0880991
family	0.0877719
President	0.0870811
"committee member"	0.0864398
writer	0.0860734
follower	0.0859004
coworker	0.0857816
boss	0.0857408
"board member"	0.0853264
those	0.0851757
Bos	0.0851588
citizen	0.0848583
mother	0.084779
investigator	0.0846802
adviser	0.0845319
participant	0.0843827
coach	0.084197
folk	0.0841487
brother	0.0839925
Clinton	0.083966
physician	0.0839568
veteran	0.0839553
historian	0.0833656
comrade	0.0831757
American	0.0831565
Governor	0.0828379
environmentalist	0.0824982
analyst	0.0822258
customer	0.0821983
group	0.0821626
investor	0.0818175
woman	0.0817886
regulator	0.0815937
deputy	0.0812943
owner	0.0812106
professor	0.0811392
observer	0.0810345
Israeli	0.0810056
audience	0.0809462
buddy	0.0809175
countrymen	0.0808949
editor	0.0807224
authority	0.0806938
banker	0.0806753
police	0.080374
guest	0.0802594
advocate	0.0799739
Attorney	0.0799152
Mayor	0.0798356
"political leader"	0.0796765
him	0.0796362
businessmen	0.0795399
"business leader"	0.0791853
agent	0.079144
many	0.0788847
villager	0.0787285
educator	0.0786819
listener	0.0785342
dissident	0.0772675
professional	0.0770866
father	0.0767631
economist	0.0767504
"elected official"	0.0766911
kid	0.0764705
representative	0.0764522
community	0.0763537
soldier	0.076019
person	0.0759383
someone	0.075862
MP	0.0756216
insider	0.0752174
supervisor	0.0751563
everybody	0.0751231
visitor	0.0751109
candidate	0.0750736
Bush	0.0749242
child	0.0748093
them	0.0744777
"vice president"	0.0741532
gore	0.0740511
Congress	0.0737927
nurse	0.0737553
some	0.0737541
leadership	0.0736299
government	0.0735934
son	0.0735529
author	0.0735314
"cabinet minister"	0.0732862
viewer	0.073097
"police officer"	0.0729814
specialist	0.0729425
director	0.0729014
rival	0.0727677
Russian	0.0727593
party	0.0727383
patient	0.0723405
media	0.0721171
artist	0.0720134
"world leader"	0.0718796
minister	0.0718664
psychologist	0.0718375
consumer	0.0713076
shareholder	0.0711747
farmer	0.0710861
administrator	0.0708545
her	0.0705388
girlfriend	0.0703625
employer	0.0701362
athlete	0.0699999
committee	0.0699159
sister	0.0698435
priest	0.0697088
psychiatrist	0.0696811
lobbyist	0.0694133
Congressman	0.0692782
"business community"	0.0691554
protester	0.0691533
anybody	0.0691146
driver	0.0690278
crew	0.0688922
assistant	0.0687409
appointee	0.0687403
backer	0.0684323
commissioner	0.0682862
mentor	0.0682845
parliamentarian	0.0682014
companion	0.0681842
Iranian	0.0680619
astronomer	0.0680274
Palestinian	0.0676803
Speaker	0.0676778
superior	0.0676216
))
(collect (desc 2410.01) (sims
"push back"	0.0615808
COXNET	0.0590667
one-up	0.0553915
"throwing away"	0.0515178
"short circuit"	0.0511374
stole	0.0486487
"first hand"	0.0469738
escrow	0.0447075
"nearly $@@"	0.0437008
"local call"	0.0432147
"Proposition @"	0.0416406
marginalize	0.0412787
"Lee Hsien Loong"	0.0410461
gook	0.040377
"another @-pointer"	0.0402826
))
(collectibles (desc 10670.8) (sims
memorabilia	0.180595
antique	0.175094
housewares	0.161876
"consumer electronics"	0.144022
furnishings	0.140346
jewelry	0.1378
knickknack	0.131277
toy	0.12788
apparel	0.120447
curio	0.119611
merchandise	0.116789
souvenir	0.11486
"trading card"	0.11399
"home appliance"	0.112716
furniture	0.110687
artifact	0.110032
"household appliance"	0.107428
handicraft	0.107144
trinket	0.10363
"fine art"	0.100873
jewellery	0.10063
accessory	0.0997006
"folk art"	0.0981974
footwear	0.0960181
artwork	0.0943189
"Beanie Babies"	0.0940486
"greeting card"	0.092965
item	0.0912271
appliance	0.0908219
tableware	0.0900483
"work of art"	0.0898883
paraphernalia	0.0885459
ornament	0.0861653
Coin	0.0850494
doll	0.0850357
"baseball card"	0.0842784
cosmetic	0.0840241
"precious metal"	0.0839599
figurine	0.08394
"sports equipment"	0.0837349
antiquity	0.0834202
Clothing	0.0834145
ceramic	0.0832639
craft	0.0822131
"consumer goods"	0.0821104
electronics	0.0810982
"musical instrument"	0.0802942
stationery	0.0802521
goods	0.0800884
memento	0.0800559
kitchenware	0.0798282
quilt	0.0791655
"building material"	0.078533
heirloom	0.0783669
copier	0.0782924
Pottery	0.0779257
rug	0.0778256
stamp	0.0776785
Furbys	0.0774397
calligraphy	0.0759445
porcelain	0.0755279
textile	0.0754801
"computer hardware"	0.0748655
"sheet music"	0.074397
relic	0.0732791
painting	0.0732103
"electronic equipment"	0.0726521
"office furniture"	0.0724301
"food product"	0.0723522
toiletry	0.0721904
"scientific instrument"	0.0711002
gemstone	0.0698396
gadget	0.0698333
handbag	0.0695606
"durable goods"	0.0694194
"video game"	0.0693379
bedding	0.0687892
poster	0.0683228
Americana	0.0680707
lingerie	0.0677353
"exercise equipment"	0.0676247
"oil painting"	0.0672696
glassware	0.0671576
manuscript	0.0667861
"comic book"	0.0666796
garment	0.0666228
"computer equipment"	0.0666012
timepiece	0.0662245
perfume	0.0659201
cookware	0.0658695
T-shirt	0.0654604
commodity	0.0653703
Fragrance	0.0647191
"computer game"	0.0645675
decoration	0.0639956
Entertainment	0.0639661
sculpture	0.0637186
"real estate"	0.0634833
cloth	0.0633857
workstation	0.0631448
shoe	0.0630041
photography	0.0623962
"communications equipment"	0.0623474
auto	0.0622429
trivia	0.0620952
"compact disk"	0.0620779
wristwatch	0.062058
"pet food"	0.0618744
foodstuff	0.0610373
video	0.0609994
"spare part"	0.0608343
"fine arts"	0.0598712
automobile	0.0598299
hardware	0.0595567
beverage	0.0594474
"alcoholic beverage"	0.0593026
"software product"	0.0590755
"board game"	0.0588848
ware	0.0585543
keepsake	0.0584679
peripheral	0.0583528
"frozen food"	0.0582956
CD	0.057906
"old master"	0.0575545
"personal computer"	0.0574951
"memory chip"	0.0574218
"consumer durables"	0.0572886
"airplane ticket"	0.057148
carpet	0.056625
"Beanie Baby"	0.0565416
"golf equipment"	0.0563931
wine	0.0561725
"household product"	0.0560967
semiconductor	0.0560654
goody	0.055925
lithograph	0.0557375
grocery	0.0556797
"passenger car"	0.0553671
costume	0.0552046
sportswear	0.0551636
beany	0.0551391
menswear	0.0550828
seafood	0.0548577
belonging	0.0548418
"hand-held computer"	0.0547848
gem	0.0546546
jade	0.0545531
decor	0.0540554
luggage	0.0537223
snack	0.0532672
audio	0.0531438
"information service"	0.0527897
candy	0.052719
treasure	0.0526618
pharmaceutical	0.0525407
"sparkling wine"	0.0523826
postcard	0.0520807
"vacuum cleaner"	0.0519053
Impressionist	0.0517356
"software package"	0.0517086
"machine tool"	0.0516928
"media property"	0.0516507
"precious stone"	0.0513816
machinery	0.0505749
"sewing machine"	0.0505167
prop	0.0505058
Furby	0.0503613
"Bordeaux wine"	0.0502744
"wall hanging"	0.0502048
fossil	0.0501649
fur	0.0501533
"motor vehicle"	0.0500474
lumber	0.0500236
specialty	0.0499463
generics	0.0497621
"historical document"	0.0497512
"tv set"	0.0494835
"snack food"	0.0494771
instrument	0.0494714
celebs	0.0494071
iMacs	0.0493829
"flea market"	0.0493765
drawing	0.0492524
comic	0.0491482
plaything	0.0491241
"personal property"	0.0491106
"soft drink"	0.0489585
vase	0.0488215
lamp	0.0487439
gadgetry	0.0486079
utensil	0.048525
"piece of furniture"	0.0485176
"portable computer"	0.0484533
junk	0.0483735
sunglasses	0.0480561
liquor	0.0478794
mineral	0.0478083
"storage device"	0.0477521
Pokemon	0.0476876
"soccer ball"	0.0476856
))
(collection (desc 165861) (sims
book	0.143733
Exhibition	0.142089
painting	0.13634
exhibit	0.134936
archive	0.12614
compilation	0.124548
catalog	0.12008
museum	0.119216
piece	0.118372
show	0.117482
art	0.112872
album	0.110839
design	0.109036
work	0.107789
photograph	0.107239
gallery	0.106503
Anthology	0.106104
library	0.106058
sculpture	0.103353
array	0.101769
novel	0.099974
display	0.0992458
manuscript	0.0982272
film	0.0972423
item	0.0967773
copy	0.0953757
artwork	0.0953654
artifact	0.0944851
version	0.093946
style	0.0937781
selection	0.0929966
picture	0.0925836
production	0.0914174
"art collection"	0.0911253
portrait	0.09072
image	0.0902201
story	0.0900027
page	0.0897322
list	0.0896853
series	0.0895055
trove	0.0892249
set	0.0891098
collector	0.0890513
publication	0.0887118
music	0.0885685
sale	0.0883969
Recording	0.0879583
variety	0.0871801
movie	0.0870425
biography	0.0869966
material	0.0864275
product	0.0862723
assortment	0.0860039
video	0.084903
study	0.0845681
drawing	0.0845662
photo	0.0843062
reproduction	0.0841298
treasure	0.0839829
document	0.0839106
database	0.083208
CD	0.0831244
print	0.083011
Song	0.0829374
performance	0.0828465
garden	0.0826794
history	0.0826544
site	0.0823451
number	0.0821654
some	0.0819849
file	0.0817698
inventory	0.0811539
store	0.0808547
relic	0.0807838
volume	0.0805203
object	0.0802951
curator	0.0800292
edition	0.0799348
gift	0.079916
program	0.0798237
text	0.0794093
kind	0.0793758
tale	0.0793621
mix	0.0793112
memoir	0.0793042
furniture	0.0790385
dozen	0.0784201
presentation	0.0775746
package	0.0773597
Encyclopedia	0.0772573
auction	0.0770072
poem	0.0763652
shop	0.0763461
research	0.0761002
cookbook	0.0759995
quality	0.0759879
analysis	0.0757871
account	0.0757834
culture	0.0756783
box	0.0754314
translation	0.0753959
architecture	0.0750564
documentary	0.074933
holding	0.0747011
assemblage	0.0746445
essay	0.074636
business	0.0745182
cloth	0.0744592
memorabilia	0.0743723
life	0.0743039
writing	0.0742572
sample	0.0742288
repertory	0.0742198
model	0.0741205
portfolio	0.0736336
color	0.0736161
"work of art"	0.0735964
project	0.0735433
structure	0.073473
storage	0.0733457
article	0.0731147
form	0.0728253
costume	0.0728095
distribution	0.0723716
magazine	0.0723667
content	0.0723395
lot	0.0722414
fashion	0.0720913
service	0.0720223
use	0.0717861
AD	0.0717761
system	0.0716243
dictionary	0.0716203
tradition	0.0715352
building	0.0713579
one	0.0711731
festival	0.071128
masterpiece	0.0709834
survey	0.0709733
artist	0.0707179
paper	0.0706424
record	0.0706234
ensemble	0.070476
data	0.0704548
sketch	0.0704379
menu	0.0698236
collage	0.0698181
many	0.0697889
feature	0.0697006
description	0.0695363
information	0.0695252
installation	0.0695182
map	0.069515
diary	0.0692905
fiction	0.0692629
resource	0.0692523
literature	0.0691631
bag	0.0691346
room	0.0690556
statue	0.0690109
jewelry	0.0688024
antique	0.0687777
hundred	0.0686246
poster	0.0685049
classic	0.06844
line	0.0684043
review	0.0683682
specimen	0.0682622
operation	0.0682617
section	0.0681411
score	0.0680141
amount	0.0680066
space	0.0679663
property	0.0679132
fragment	0.0678721
Clothing	0.0678458
brand	0.0677369
type	0.0676513
shipment	0.0676001
estate	0.0675267
scene	0.0674217
disc	0.0673886
wardrobe	0.0672543
look	0.0672532
worth	0.067233
creation	0.0671618
autobiography	0.0671242
wealth	0.0669988
technology	0.0668555
discovery	0.0667975
activity	0.0667441
budget	0.0667322
offering	0.0667252
textbook	0.0666755
photography	0.066547
script	0.066538
supply	0.066487
cache	0.0664498
evidence	0.0663806
listing	0.0663741
))
(collective (desc 10865.9) (sims
"work unit"	0.0848655
foreign-funded	0.0834405
"social group"	0.077761
"social organization"	0.0738703
cooperative	0.0734444
"joint-stock company"	0.0658169
"pressure group"	0.0552666
troupe	0.0529727
"commercial enterprise"	0.0529109
PACs	0.0522178
"trade union"	0.0513711
"repertory company"	0.0510961
state-owned	0.0506696
"professional association"	0.0504168
"Iraqi National Congress"	0.0496522
"private corporation"	0.0491722
"trade association"	0.0487168
"industrial enterprise"	0.048536
joint-ventures	0.0475665
"Party Central Committee"	0.0470117
"Islamic Jihad"	0.0459149
"Chinese Communist Party"	0.0458867
Non-governmental	0.0457947
"interest group"	0.0457218
ensemble	0.0452657
organisation	0.0449994
"family business"	0.0448362
sextet	0.04405
"local government"	0.0440124
guild	0.0437699
parastatals	0.0434957
"business community"	0.0433862
"labor union"	0.0430098
cadre	0.0428878
travelogue	0.04207
co-op	0.0416454
"collective farm"	0.0416433
locality	0.0413926
forebear	0.0410026
urbanites	0.0410018
cognoscenti	0.040977
"container ship"	0.040639
"Republican Leadership Council"	0.0405398
"educational institution"	0.0404601
"core group"	0.040286
commune	0.0402758
"publishing company"	0.0402083
medium-sized	0.0402067
NGOs	0.0401391
))
("collective bargaining" (desc 4639.08) (sims
Syrian-Israeli	0.103431
Israeli-Syrian	0.0989749
Israeli-Palestinian	0.0890102
Palestinian-Israeli	0.0850705
bargaining	0.0824638
exclusivity	0.0722195
final-status	0.0714833
Israeli-Arab	0.0667689
"labor contract"	0.066055
horse-trading	0.0650491
self-government	0.0646121
Arab-Israeli	0.0641547
FTAA	0.0641041
Liberalization	0.0638785
"due process"	0.0635602
"freedom of religion"	0.0627575
House-Senate	0.062388
"Uruguay Round"	0.0607284
"labor agreement"	0.0580936
on-and-off	0.0575894
democratization	0.057433
self-determination	0.0573712
repatriation	0.0568032
"free trade"	0.0551618
confidentiality	0.0548464
fast-track	0.0539559
win-win	0.0539084
multiyear	0.0537763
Russian-U.S.	0.052594
armistice	0.052378
"Wye River"	0.0523292
"arms control"	0.0521596
"freedom of speech"	0.0517453
GATT	0.0515146
lawmaking	0.0514734
"home rule"	0.0511976
tenancy	0.050721
"safe harbor"	0.0506634
"commercial activity"	0.0506323
arbitration	0.0505211
"START III"	0.0502462
"equal opportunity"	0.0500308
navigation	0.0495735
Wye	0.0495714
"living wage"	0.0495263
lockbox	0.0494622
visitation	0.0490844
"arms deal"	0.048946
"Agenda @@@@"	0.048718
FTA	0.0486722
"business activity"	0.0484552
zoning	0.0477585
"decision making"	0.0475808
"human rights"	0.0475378
"target practice"	0.0473616
Non-Proliferation	0.0468788
brinksmanship	0.0468609
dialog	0.0466246
purification	0.046068
NAFTA	0.04593
"free association"	0.0458482
barter	0.0458377
U.S.-Russian	0.0455958
privatisation	0.0455819
eleventh-hour	0.0455728
"purchase agreement"	0.045445
repurchase	0.0451193
leasing	0.0449421
"crisis situation"	0.0448872
Strauss-Kahn	0.0444825
demarcation	0.0444053
profit-sharing	0.0443947
"Northern Irish"	0.0443795
Japan-U.S.	0.044132
"economic system"	0.0437356
expropriation	0.0436063
"Super League"	0.0435979
tie-up	0.0433885
realignment	0.0433589
vending	0.043205
"trade agreement"	0.0430437
"customs union"	0.042837
interconnection	0.0427907
disengagement	0.0425115
adjudication	0.0424763
pluralism	0.0423597
drilling	0.0423523
"League of Nations"	0.0421523
demilitarization	0.0421471
"billion dollar"	0.0420911
self-defense	0.0420821
"arms race"	0.0420738
"golden parachute"	0.0420539
"technological revolution"	0.0420057
"value added tax"	0.0419012
oil-for-food	0.0415034
"attorney-client privilege"	0.041454
Ulster	0.0414407
devolution	0.0414237
modeling	0.0414002
licence	0.0413909
"sex act"	0.0412757
bodysuits	0.041041
"civil liberty"	0.0409462
"labor dispute"	0.0406622
readjustment	0.0405932
"sexual activity"	0.0405024
reapportionment	0.0404498
bookkeeping	0.0404276
bonding	0.0404199
"merger talk"	0.0403961
lockup	0.0401866
pullback	0.0401169
"free zone"	0.0400625
inter-Korean	0.0400381
))
("collective farm" (desc 2404.12) (sims
"dairy farm"	0.0842684
"National Economic Council"	0.0764526
"Kosovo Verification Mission"	0.0759382
nunnery	0.0711824
"National Republican Congressional Committee"	0.0707738
BIA	0.0663583
"Islamic Movement"	0.0639035
tannery	0.0635172
"sales outlet"	0.0634679
apparatchiks	0.0622562
"cattle ranch"	0.0617075
"oil rig"	0.0613752
"Field Poll"	0.0611959
"American Jewish Committee"	0.0604794
"Cuban American National Foundation"	0.060136
"sphere of influence"	0.0598913
"House Budget Committee"	0.05967
"mainframe computer"	0.0587255
"Family Research Council"	0.0585885
KPA	0.0572631
"New York Civil Liberties Union"	0.056814
"Democratic Senatorial Campaign Committee"	0.0562313
"first school"	0.0561966
"Russian Space Agency"	0.0560039
"Labor office"	0.0557201
"summer house"	0.0555065
"European Bank for Reconstruction"	0.0553592
dairy	0.0547835
"transportation system"	0.0542689
"military installation"	0.0538387
"civil defense"	0.0537778
kibbutz	0.053674
"Warsaw Pact"	0.0536647
"cash crunch"	0.0534975
"blood bank"	0.0534145
"Southern Command"	0.0533755
KGB	0.0533323
"secret police"	0.0533306
"building site"	0.053285
hatchery	0.052786
schoolhouse	0.0526042
"Civil Aviation Authority"	0.052483
NSC	0.0517651
"Coptic Christians"	0.0516773
"search committee"	0.0516204
"Economic Planning Agency"	0.0514676
"personnel department"	0.0511584
"point system"	0.0507898
aeronautics	0.0505847
serfdom	0.0501825
TAZARA	0.0500673
"Democratic Congressional Campaign Committee"	0.0500613
"Federal Security Service"	0.049352
"opera company"	0.0492723
"game warden"	0.049264
"Olympic Committee"	0.0490636
frontlines	0.0486592
"Congressional Black Caucus"	0.0485867
"Council of Economic Advisers"	0.0485846
UNMOVIC	0.0485685
Postmaster	0.0484713
"steel mill"	0.0484313
"planning commission"	0.0483126
government-in-exile	0.0480639
godown	0.0476082
junkyard	0.0475697
"Commerce Committee"	0.0474849
"Democratic Leadership Council"	0.0472565
"East African Community"	0.047059
quarry	0.0470338
segregationist	0.0468997
"sewage system"	0.0468438
"flour mill"	0.04654
"Serbian Orthodox Church"	0.0462698
collider	0.0460903
"Defense Agency"	0.0460223
"economic system"	0.0459903
"Yad Vashem"	0.0459335
counterterrorism	0.0459325
"Veterans Administration"	0.0458429
"Political Department"	0.045835
brewery	0.0458069
"general store"	0.0457971
"General Services Administration"	0.0457473
"Iraqi National Congress"	0.0454117
"silent movie"	0.0452847
"federal office"	0.0452524
"army base"	0.0452201
"residential district"	0.0451881
"work unit"	0.0446732
"water company"	0.0446509
Hermitage	0.0444986
"market economy"	0.0444495
Convent	0.0444371
"interim committee"	0.0444136
"police state"	0.0443443
commune	0.0443437
"Catholic school"	0.0442982
cattlemen	0.0441767
"Atomic Energy Commission"	0.0441553
"National Science Foundation"	0.0441243
"Russian Communist Party"	0.043947
"Senate Budget Committee"	0.0438889
"production line"	0.0438635
"product development"	0.0437224
mortuary	0.0435594
INEC	0.0435422
"English department"	0.0434752
USAID	0.0434495
"East Berlin"	0.0434128
"paper mill"	0.043354
thermal	0.0433522
nt	0.0432906
Mossad	0.0429765
"assembly line"	0.0429164
IC	0.0428369
sanitarium	0.0428089
"Royal Shakespeare Company"	0.0426319
"ballet company"	0.0425911
"night shift"	0.0424139
conservancy	0.0423961
"investment company"	0.0423907
Comelec	0.0422761
FSB	0.0419957
distillery	0.0417565
"athletic facility"	0.0417473
"chicken coop"	0.0415687
"botanical garden"	0.0414499
USSR	0.0413967
"Federal Emergency Management Agency"	0.0413665
"Free World"	0.0412415
"funeral home"	0.0412099
latrine	0.0410476
"Anti-Defamation League"	0.040994
foundry	0.0409741
"military position"	0.0409369
"Liberation Front"	0.0409037
"textile mill"	0.0408233
Pueblo	0.040777
superhighway	0.0407633
"National Intelligence Service"	0.0407425
Caritas	0.0407208
"United Way"	0.0407149
"art department"	0.0407111
"psychiatric hospital"	0.0407085
orphanage	0.0406924
townspeople	0.0406314
"District Council"	0.0406203
"educational institution"	0.0405759
"Shin Bet"	0.0405223
"Manhattan Project"	0.0402607
"League of Nations"	0.0401318
"general practitioner"	0.0401249
bruiser	0.0400712
"partner in crime"	0.0400491
Barrio	0.0400428
"Human Rights Commission"	0.0400238
))
("collective security" (desc 1922.13) (sims
ABM	0.111453
reciprocity	0.105309
Systems	0.0940803
one-China	0.0911071
"arms control"	0.0905681
"proportional representation"	0.0864141
federalism	0.0856628
Japan-U.S.	0.0846113
governance	0.0818201
noninterference	0.0787653
nonalignment	0.077817
nonintervention	0.0773031
"price support"	0.0736958
"common law"	0.0734805
serfdom	0.073349
"majority rule"	0.073313
U.S.-Japan	0.0731065
nonviolence	0.0727767
nonproliferation	0.0727428
secularism	0.0719886
"conflict resolution"	0.071807
"market economy"	0.071658
deterrence	0.0708912
"free trade"	0.0694298
"START III"	0.0687321
oil-for-food	0.0683174
exclusivity	0.0677167
"rule of law"	0.0672399
comity	0.0660135
AEC	0.0657921
sub-regional	0.0650131
neutrality	0.0645814
"customs union"	0.0645649
GATT	0.0637205
profit-sharing	0.0635979
containment	0.0635204
nation-building	0.0634191
"free enterprise"	0.0631917
self-reliance	0.0630711
"social insurance"	0.0630492
self-government	0.0624853
"natural selection"	0.0613425
"white supremacy"	0.061328
armistice	0.0606247
Amity	0.0591229
NPT	0.0591104
neighborliness	0.0589184
coexistence	0.0584237
stabilization	0.0580404
detente	0.0579411
"Stability Pact"	0.0575045
conciliation	0.0574788
"START II"	0.0573256
TMD	0.0570923
remuneration	0.0569739
barter	0.0569548
well-established	0.0567645
humanitarianism	0.0560076
pan-African	0.0552872
regionalism	0.0552481
"home rule"	0.0552323
"sphere of influence"	0.0548853
"United Nations Charter"	0.0545522
complementarity	0.0540951
AFTA	0.0535953
confidentiality	0.0535436
Non-Proliferation	0.0534482
"property right"	0.0526092
secularist	0.0522294
EAC	0.0521108
"internal control"	0.0520037
power-sharing	0.0516114
"maritime law"	0.0511182
destabilization	0.0510289
brotherhood	0.0508263
sustainability	0.0507881
"Peaceful Coexistence"	0.0507633
cohesion	0.0505997
"vocational education"	0.0499851
decentralization	0.049768
"Reform Judaism"	0.049092
frugality	0.0488637
"civil law"	0.0486327
"quid pro quo"	0.0481405
interoperability	0.0479663
filtering	0.0478604
pacification	0.0475737
tranquility	0.0473493
"welfare state"	0.0473227
interconnection	0.0472641
impartiality	0.0471062
Sino-U.S.	0.0469476
peace-keeping	0.0465655
good-neighborliness	0.04636
SPS	0.0462947
pan-Arab	0.0460139
amateurism	0.0460012
suction	0.0458252
monogamy	0.0454719
pluralism	0.0452745
"closed circuit"	0.0451736
reformation	0.0450143
"social welfare"	0.0449361
nationhood	0.0449231
IPR	0.0444399
"urban planning"	0.0444185
refereeing	0.0440729
COMESA	0.0440518
interagency	0.0439006
"mass transit"	0.0437537
teamwork	0.0437446
"particle physics"	0.0436074
Kyoto	0.043554
"Sustainable Development"	0.0433624
supremacy	0.0433192
"U. N."	0.0430828
multiyear	0.0430825
sanctity	0.043079
relativity	0.0428352
universality	0.0423426
escrow	0.0422701
self-rule	0.041855
clotting	0.0416983
"racial segregation"	0.0416348
confidence-building	0.0414609
"naval forces"	0.0413379
"UN Charter"	0.0412512
sufficiency	0.0411818
ECOWAS	0.0410759
"defense policy"	0.041028
righteousness	0.0410261
"Vision @@@@"	0.0410256
"class struggle"	0.040912
"equal opportunity"	0.0406872
superhighway	0.0406057
Ci	0.0404327
Filtration	0.0404304
SDH	0.0402984
"economic system"	0.0402873
U.S.-China	0.0402492
Concealment	0.0402359
Marxism	0.0400988
reseller	0.0400393
informatics	0.0400201
"form of government"	0.0400021
))
(collector (desc 54927.6) (sims
dealer	0.140567
buyer	0.132988
enthusiast	0.126771
entrepreneur	0.121932
connoisseur	0.12041
Reader	0.115184
investor	0.113943
trader	0.111134
artist	0.109042
shopper	0.108952
developer	0.108685
philanthropist	0.108028
"art dealer"	0.107489
buff	0.105129
scholar	0.105063
advertiser	0.102287
consumer	0.101946
owner	0.101453
lover	0.100851
seller	0.100282
musician	0.0993823
patron	0.0990546
historian	0.0988592
"venture capitalist"	0.0984776
fan	0.0980279
professional	0.0975067
businessmen	0.0971354
designer	0.0967622
traveler	0.0951046
painter	0.0948229
banker	0.0927563
writer	0.0925684
curator	0.0920358
Hunter	0.0918147
aficionados	0.0917832
"sports fan"	0.0917032
merchant	0.0911657
hobbyist	0.0902416
devotee	0.0894537
collection	0.0890513
publisher	0.0888245
user	0.0887864
"art historian"	0.0887004
journalist	0.0885194
tourist	0.0883951
manufacturer	0.0883536
customer	0.0878609
retailer	0.0874227
farmer	0.0861009
broker	0.0858896
homeowner	0.0858673
filmmakers	0.0856111
educator	0.0855744
angler	0.084767
drinker	0.0842594
Industrialist	0.0840796
producer	0.0836918
gardener	0.0835123
photographer	0.0828818
donor	0.0826675
businessman	0.0826361
"college student"	0.0820133
bidder	0.0818461
speculator	0.0814275
scientist	0.0806921
listener	0.0805059
museum	0.0801363
employer	0.0801331
politician	0.0800088
researcher	0.0798994
individual	0.0798636
marketers	0.0798083
academic	0.0795946
admirer	0.0795406
distributor	0.0793695
theatergoer	0.0793289
author	0.0791943
practitioner	0.0791528
chef	0.0790645
resident	0.0785319
grower	0.0784134
restaurateur	0.0784111
critic	0.0783446
financier	0.0781102
vendor	0.0781072
sculptor	0.0774084
student	0.0772933
archaeologist	0.0772291
teacher	0.0768801
environmentalist	0.0767517
operator	0.0763777
visitor	0.0761628
wholesaler	0.0761592
folk	0.0758257
parent	0.0758175
intellectual	0.0757973
contractor	0.0757626
Programmer	0.0755912
architect	0.0751854
surfer	0.0750517
moviegoer	0.0749939
"business executive"	0.0744119
"home buyer"	0.0742958
company	0.0741917
contributor	0.0739597
corporation	0.0739131
foreigner	0.073765
retiree	0.0736969
viewer	0.073374
employee	0.0732898
poet	0.0727501
appraiser	0.0726547
purchaser	0.0725508
expert	0.0723786
gambler	0.072269
promoter	0.0722047
insider	0.0719145
executive	0.0716381
"auction house"	0.0715467
builder	0.071535
composer	0.0715174
activist	0.0711526
worker	0.0711004
"business leader"	0.070865
thief	0.070831
citizen	0.0707221
supplier	0.0706851
doctor	0.0706488
consultant	0.0705066
benefactor	0.0704819
Alumni	0.0704316
importer	0.0704088
golfer	0.0703588
woodworker	0.0701368
specialist	0.0698703
broadcaster	0.0698063
bookseller	0.0695519
manager	0.069468
engineer	0.0694679
archivist	0.0694331
"interior designer"	0.0694307
client	0.0693993
lender	0.0693323
smoker	0.0693166
"travel agent"	0.0692211
lobbyist	0.0692148
firm	0.0684221
birder	0.0683845
winemaker	0.0683617
teen-ager	0.0682617
follower	0.068136
maker	0.0679446
decorator	0.0678729
gamers	0.0678664
auctioneer	0.0678198
lawyer	0.0676565
insurer	0.0674783
philosopher	0.0669817
novelist	0.066741
craftsmen	0.0665774
Fishermen	0.0660808
inventor	0.0660715
youngster	0.0659743
feminist	0.0658584
aficionado	0.0657506
Cook	0.0657324
"real estate developer"	0.0656461
athlete	0.0656207
"insurance company"	0.0655514
technician	0.0655294
friend	0.0655049
celebrity	0.0654714
preservationists	0.0654463
fanatic	0.0653506
reporter	0.0652844
landlord	0.0650357
Chinese	0.0649894
teens	0.0649421
"business traveler"	0.0648293
physician	0.0648065
audience	0.0646154
addict	0.0644884
advocate	0.0644883
smuggler	0.0644864
exhibitor	0.0644424
volunteer	0.0643907
performer	0.0643859
astronomer	0.064074
outsider	0.064067
socialite	0.0640487
"investment banker"	0.0640143
American	0.0639673
"music lover"	0.0639254
stockbroker	0.0639058
supporter	0.0635483
teenager	0.0635253
pianist	0.0634191
filmmaker	0.0631983
gallery	0.0631914
exporter	0.0631258
))
(colleen (desc 1785.74) (sims
Eileen	0.181624
Kristin	0.156349
Brenda	0.151739
Marcia	0.142295
Doris	0.141457
Josephine	0.141021
Jacqueline	0.139074
Evelyn	0.138188
"Azizah Ismail"	0.134181
Olga	0.133671
Phyllis	0.133466
Patricia	0.131504
Maureen	0.129145
JoAnne	0.129112
Juanita	0.128652
Valerie	0.127367
Edith	0.125107
Barbara	0.12504
Millie	0.124362
Marlene	0.123868
Kathleen	0.121656
Suzanne	0.120603
Lynne	0.120338
Deborah	0.119557
Susan	0.118618
Stephanie	0.117019
Cheryl	0.115581
Peggy	0.11542
Beverly	0.115354
Cherie	0.11492
Terri	0.114207
Sonia	0.113551
Lori	0.113536
Beatrice	0.111966
Teresa	0.110743
Irina	0.110171
Pauline	0.109666
Melinda	0.109588
Donna	0.109359
Frances	0.108981
Sylvia	0.108731
Debbie	0.108223
Diane	0.107876
Dolores	0.107442
Christine	0.10722
alicia	0.106749
Theresa	0.106064
Kathy	0.105523
Carolyn	0.105516
Lydia	0.105106
Denise	0.104989
Pam	0.104794
Tracey	0.104046
Leah	0.102925
Vicki	0.102167
Jill	0.101591
Dorothy	0.101505
Rebecca	0.101502
ANN	0.101393
Michele	0.100497
Rita	0.0999737
Beth	0.0998253
Polly	0.0992063
Louise	0.0990057
Shirley	0.0986688
Liz	0.0985893
Rhonda	0.0985566
Janice	0.0982562
Debra	0.0978324
Lois	0.0974966
Miriam	0.0974161
Sheryl	0.097046
Renee	0.0960337
Esther	0.0959501
Kimberly	0.0957118
Rachel	0.0952037
Erica	0.0951999
Carol	0.0939309
Nancy	0.0936626
Lisa	0.0927248
Olivia	0.0922972
Eleanor	0.0912568
Alexandra	0.0909964
Julia	0.0909293
Alison	0.0909059
Helen	0.0908063
Cathy	0.0907867
Susie	0.0907827
Margaret	0.0905864
Sandra	0.0905067
Marie	0.0904696
Judy	0.0902965
Andrea	0.0896916
Anne	0.0894204
hazel	0.0893415
Amy	0.0893259
Cynthia	0.0887683
Patti	0.0885132
Michelle	0.0883633
Jennifer	0.0882855
Meg	0.0879724
Tina	0.0876009
Maria	0.0868996
gloria	0.0867041
Natalie	0.0864158
Marian	0.0862171
Jessica	0.0854739
Camille	0.0853353
Hadassah	0.085236
Christina	0.0848535
Connie	0.0847882
Karen	0.0846178
Lucia	0.0845211
Kathryn	0.0844247
Elaine	0.0844227
Sara	0.0839025
Laura	0.0837398
Marguerite	0.0834707
Molly	0.0834319
kitty	0.0830421
Emily	0.0829718
Ashley	0.0826011
Elena	0.0819051
Annie	0.0818214
Cindy	0.0816427
Lucille	0.0813864
Linda	0.0811509
Julie	0.0810379
Angela	0.0807366
Martha	0.0806957
Nikki	0.080498
Megan	0.0804974
Betty	0.0804609
Katherine	0.0803638
Ellen	0.0795639
Katie	0.0794885
Monique	0.079473
Gail	0.0794338
Vera	0.0794151
Sheila	0.0793481
anna	0.0791575
Sally	0.0788687
Marta	0.0786312
Brooke	0.0784144
Judith	0.0782702
Nora	0.0782469
Lyn	0.0781405
Norma	0.0780419
Naomi	0.0774475
Nina	0.0773516
Clara	0.077328
Samantha	0.0773266
Colette	0.0769783
Caroline	0.0765968
Annette	0.0764534
Sophie	0.0763852
"Graca Machel"	0.076377
Mimi	0.0753027
"Karenna Gore Schiff"	0.0749598
Ethel	0.0739467
Laurie	0.0739404
"Patsy Ramsey"	0.0738676
Wanda	0.0738458
Marilyn	0.0735306
Karenna	0.0734147
Kay	0.0730919
Sarah	0.0727919
Vivian	0.0721952
Vanessa	0.0720763
Janet	0.0719414
becky	0.071874
Irene	0.0715399
Arlene	0.0713656
Agnes	0.0713539
Amanda	0.0712497
Shannon	0.0708854
"Queen Noor"	0.070776
Jane	0.0706614
Marianne	0.0701825
Roberta	0.0700929
Claudia	0.0699921
Leslie	0.0698354
Kate	0.0694404
heather	0.069382
Ida	0.0693541
Danielle	0.0682112
Marge	0.0679891
Melanie	0.0678383
Tipper	0.0674907
Bianca	0.0673143
Gertrude	0.0670145
Joan	0.0668821
Elizabeth	0.0668219
Robin	0.0657776
Dana	0.0654415
Stacy	0.0649762
Erin	0.0648413
Audrey	0.064454
Meredith	0.0644426
"Wang Yeping"	0.0644219
))
(College (desc 144796) (sims
"high school"	0.243809
university	0.239137
school	0.230902
"law school"	0.163054
"private school"	0.156423
"medical school"	0.152957
"middle school"	0.14979
"secondary school"	0.140232
institution	0.1386
"graduate school"	0.13846
Harvard	0.137177
"community college"	0.132843
"public school"	0.131338
institute	0.128999
"primary school"	0.128614
"business school"	0.127754
seminary	0.127665
hospital	0.122614
Yale	0.12255
"elementary school"	0.122214
"junior college"	0.121975
academy	0.116704
kindergarten	0.113835
student	0.108915
church	0.106603
"boarding school"	0.106398
campus	0.105193
"junior high school"	0.104916
"vocational school"	0.102893
"prep school"	0.101751
highschool	0.10107
program	0.0998077
class	0.0997667
museum	0.0992421
"school district"	0.0972517
organization	0.0968475
"Catholic school"	0.0968367
"higher education"	0.0968266
education	0.0963304
Stanford	0.0953684
Princeton	0.0938192
MIT	0.0930765
library	0.0930314
"University of Texas"	0.0929672
football	0.0925538
center	0.0924127
"Beijing University"	0.0922808
undergraduate	0.0915894
"military academy"	0.0914725
"Qinghua University"	0.0908458
company	0.0907655
"religious school"	0.0905208
department	0.0899743
agency	0.0897377
prison	0.0895333
"Georgia Tech"	0.088151
clinic	0.0880989
"New York University"	0.087819
classroom	0.0877167
"grade school"	0.0873744
"Yale university"	0.0866804
"University of Georgia"	0.0864073
faculty	0.085507
"Stanford University"	0.0852499
"Boston University"	0.0849379
teacher	0.0844523
enterprise	0.0843829
business	0.0838837
"Boston College"	0.0830452
"medical center"	0.0828354
"Harvard University"	0.0828011
"Columbia University"	0.0826635
"educational institution"	0.08264
NFL	0.0825828
office	0.0823232
"University of California"	0.0822553
UT	0.0818621
"University of Massachusetts"	0.0818327
"University of Michigan"	0.0813885
preschool	0.0810797
bank	0.0810296
district	0.080986
firm	0.0809648
NBA	0.0804381
charity	0.0803607
state	0.0793885
theater	0.0793238
group	0.0793005
home	0.0792895
corporation	0.0790606
sport	0.0788573
lab	0.0788136
"research center"	0.0784983
club	0.0783941
community	0.0778776
Oxford	0.0778043
"University of Chicago"	0.0775007
job	0.0774871
laboratory	0.0774751
USC	0.0773776
UCLA	0.0771148
camp	0.0770229
"State University of New York"	0.0769236
"University of Washington"	0.0761515
Cornell	0.0759398
"college student"	0.0753473
family	0.075218
baseball	0.0747612
hotel	0.0746919
project	0.0743798
"University of Southern California"	0.0742532
league	0.0742029
city	0.0738211
graduate	0.0736651
basketball	0.0731467
facility	0.0729941
county	0.0728412
store	0.0726991
employer	0.0724513
"Massachusetts Institute of Technology"	0.0720824
Dartmouth	0.0716566
park	0.0712486
course	0.0709292
scholarship	0.0708744
athlete	0.0706257
"nursing home"	0.070439
industry	0.0704273
society	0.0703195
team	0.0701546
doctor	0.0699917
career	0.0698997
association	0.0698017
"minor league"	0.0694764
service	0.0694592
jail	0.0693335
training	0.0691365
work	0.0690922
study	0.0690617
house	0.0688454
professional	0.0683132
restaurant	0.0678687
science	0.0676521
woman	0.0676245
union	0.0673306
"summer camp"	0.0672497
people	0.0672202
scientist	0.0671473
factory	0.0669021
game	0.0667789
site	0.0667599
farmer	0.0665937
system	0.0665679
child	0.0665217
UMass	0.0663217
country	0.0661263
youth	0.0660918
Tuition	0.0660338
studio	0.0657069
airline	0.0656138
life	0.0653475
government	0.0652389
"financial institution"	0.0651228
area	0.0650815
primary	0.0650069
freshmen	0.0649316
individual	0.0647939
airport	0.0647252
synagogue	0.0647171
conference	0.0646512
researcher	0.0644031
"Notre Dame"	0.0642577
"big league"	0.064238
place	0.0641043
"school system"	0.0640742
coaching	0.0639738
ministry	0.0639721
municipality	0.0638329
building	0.0637729
retailer	0.0636614
physician	0.0636028
sector	0.0635095
branch	0.0633129
"training program"	0.0633089
HMO	0.063051
neighborhood	0.0630284
household	0.06301
"day care"	0.0629965
senior	0.0626483
congregation	0.0626405
kid	0.0626027
worker	0.0625514
party	0.0623183
"major league"	0.0623121
town	0.0623079
bookstore	0.0623025
educator	0.0622987
NCAA	0.0621917
court	0.0621899
gym	0.0621176
academic	0.0621146
))
("College Board" (desc 2980.53) (sims
"Families USA"	0.169173
"Kaiser Family Foundation"	0.159312
"Conference Board"	0.154024
MCAS	0.139265
"Urban Institute"	0.134769
"American Petroleum Institute"	0.134565
"U.S. Agriculture Department"	0.133361
ISTAT	0.13283
"Wine Institute"	0.124758
"Census Bureau"	0.123273
"Education Department"	0.122217
"Agriculture Ministry"	0.120883
"Australian Bureau of Statistics"	0.120533
"U.S. Census Bureau"	0.120481
NHTSA	0.120258
SSB	0.119323
"U.S. Commerce Department"	0.118104
"National Research Council"	0.116944
"National Highway Traffic Safety Administration"	0.115991
"Central Bureau of Statistics"	0.115437
polygraph	0.113698
CDC	0.113235
"Labor Ministry"	0.110892
"Commerce Department"	0.110255
"Statistics Canada"	0.1102
"Health Department"	0.108468
"National Cancer Institute"	0.108304
"State Statistical Bureau"	0.108298
"Census and Statistics Department"	0.106576
"Home Ministry"	0.106336
IEA	0.105663
"Commerce Ministry"	0.10547
"Hong Kong Monetary Authority"	0.105383
"Labor Department"	0.104566
"Air Transport Association"	0.104547
NCI	0.103522
Morningstar	0.101702
"State Statistics Bureau"	0.101169
"American Cancer Society"	0.10095
"National Academy of Sciences"	0.100482
"Transportation Department"	0.100149
NASD	0.0999851
"Natural Resources Defense Council"	0.0997677
"U.S. Soccer Federation"	0.099764
"Department of Health and Human Services"	0.0995141
"Department of Health"	0.0982643
"Health and Welfare Ministry"	0.0979179
"American Academy of Pediatrics"	0.0976171
HKMA	0.0970368
"Information Center"	0.0969533
"Bureau of Labor Statistics"	0.0968857
"British Foreign Office"	0.096524
CPSC	0.0959346
"Department of Education"	0.0957525
"General Accounting Office"	0.0946833
"magnetic resonance imaging"	0.0946018
"American Heart Association"	0.0943852
AARP	0.0935797
UNAIDS	0.0933274
PricewaterhouseCoopers	0.0927145
"Department of State"	0.0921517
"Health Ministry"	0.0920071
ILO	0.0919649
"U.S. Defense Department"	0.0918365
INEC	0.0917131
"Information Ministry"	0.0916366
"Institute of Medicine"	0.0914769
"Nihon Keizai Shimbun"	0.0913939
"Consumers Union"	0.0910358
"Human Rights Watch"	0.0906723
"PC Data"	0.0906271
DMA	0.0904562
"Media Metrix"	0.0902426
"Treasury Department"	0.0900557
"Ministry of Tourism"	0.0900296
"International Badminton Federation"	0.0897859
Zagat	0.0897774
"Tourism Authority of Thailand"	0.0897593
SAT	0.0896878
"National Bureau of Statistics"	0.0896425
"US State Department"	0.089302
TDC	0.089141
"Department of Agriculture"	0.0888762
"Securities Industry Association"	0.0886962
HKTA	0.0886526
Eurostat	0.0886045
"Freddie Mac"	0.0885062
"Economic Planning Agency"	0.0884052
"Motion Picture Association of America"	0.0882196
"U.S. State Department"	0.0878231
Forrester	0.0872428
"World Wildlife Fund"	0.0871292
"National Association of Securities Dealers"	0.08684
"Department of Commerce"	0.0866298
"National Education Association"	0.0865884
"Department of Labor"	0.0864024
"National Association of Realtors"	0.0862673
"National Abortion and Reproductive Rights Action League"	0.0861686
"State Development Planning Commission"	0.0859504
"Handgun Control"	0.0857246
"American Association of Health Plans"	0.0857172
Britannica	0.085699
ama	0.0854047
HHS	0.0853688
NTSB	0.0853161
"Jupiter Communications"	0.0850307
EOHR	0.0847898
"Ministry of International Trade and Industry"	0.0847573
"U.S. Treasury Department"	0.0846752
"Amnesty International"	0.0845669
"Southeastern Legal Foundation"	0.0843503
AAA	0.0842727
"Yomiuri Shimbun"	0.0842531
CIRC	0.0841093
"Thai Commerce Ministry"	0.08405
"Council on Foreign Relations"	0.0839353
"Pew Research Center"	0.0837043
Celera	0.0834001
Gleason	0.0833517
"Defense Department"	0.0832024
"Energy Department"	0.0829447
"Public Citizen"	0.082557
"American Medical Association"	0.0824344
"Center for Responsive Politics"	0.082346
"U.N. Development Program"	0.0820241
"Asahi Shimbun"	0.081779
"Asia Society"	0.0817388
"Ministry of Health"	0.0816798
Dataquest	0.0816399
TAAS	0.0816045
"American Bar Association"	0.0812969
"Defense Agency"	0.0805323
"Israeli Foreign Ministry"	0.0803495
"Harvard School of Public Health"	0.0801935
"National Oceanic and Atmospheric Administration"	0.0801652
"World Jewish Congress"	0.0796291
"Heritage Foundation"	0.0792537
USDA	0.0792196
"Ministry of Posts"	0.0790221
CBI	0.0789699
"Disease Control"	0.0787745
DEP	0.0782234
RNC	0.0782215
"Urban League"	0.0781028
NIH	0.0780024
"Thai Foreign Ministry"	0.0779577
"Business Council"	0.0777925
"Ministry of Trade and Industry"	0.0773864
"British High Commission"	0.077242
"Truth Commission"	0.0772329
OECD	0.0771377
"Federal Reserve Bank of New York"	0.0770927
HCFA	0.0767452
"Consumer Reports"	0.0766889
"All-China Journalists Association"	0.0766093
BIA	0.0763709
"Congressional Budget Office"	0.0761527
"Agriculture Department"	0.0760364
UNDP	0.0759688
PETA	0.0758798
UNICEF	0.0757251
"Xinhua News Agency"	0.0757242
EPA	0.0755625
UGA	0.0755313
"Texas Department of Public Safety"	0.0753785
"Airport Authority"	0.0749493
"National Alliance"	0.0747661
"Department of Corrections"	0.0746832
"U.S. Geological Survey"	0.0746594
"Federal Aviation Administration"	0.0745023
"Health Care Financing Administration"	0.0744874
"Freedom Forum"	0.0743785
APA	0.0743293
"Handgun Control Inc."	0.0742409
"U.S. Environmental Protection Agency"	0.074121
"Chinese Academy of Social Sciences"	0.0739967
AFL-CIO	0.0738526
Kyprianou	0.0737504
"Agence France Presse"	0.0737189
"Des Moines Register"	0.0736336
KPMG	0.0734925
"Nihon Keizai"	0.0734755
"Bank Indonesia"	0.0730432
SUNY	0.0730093
CCF	0.0729573
"Ministry of Agriculture"	0.0728071
"University of Michigan"	0.0726305
"Gartner Group"	0.0726051
"Fannie Mae"	0.0726036
"State Environmental Protection Administration"	0.0723332
"National Science Foundation"	0.072218
"U.S. Immigration and Naturalization Service"	0.072179
"Republican Leadership Council"	0.0720415
"Department of Energy"	0.0720212
"Ministry of Civil Affairs"	0.0719875
"National Marine Fisheries Service"	0.0719531
"Anti-Defamation League"	0.071332
"U.N. Environment Program"	0.071093
"Federal Trade Commission"	0.0710825
"Electronic Frontier Foundation"	0.070981
))
("college level" (desc 2688.44) (sims
eighth-grade	0.124071
sixth-grade	0.10454
Juilliard	0.0929161
"junior high"	0.0895636
second-grade	0.0892984
"adult education"	0.0840383
K-@@	0.0825654
"West Point"	0.0821461
"junior high school"	0.0810259
"air force academy"	0.0805826
third-grade	0.0759758
"community college"	0.0755515
nuts-and-bolts	0.0716597
"University of South Carolina"	0.0703239
Grambling	0.0701065
"Trinity College"	0.06928
"University of Virginia"	0.0690255
"junior college"	0.0689201
"University of Houston"	0.0681459
civics	0.0677968
Eton	0.0675453
Sorbonne	0.0666334
"University of Hawaii"	0.0639553
"technical school"	0.0634385
"sixth grade"	0.0632325
"University of Tennessee"	0.0628019
"University of Georgia"	0.0627021
UNLV	0.0624781
"University of Michigan"	0.062361
"Boston University"	0.0621219
"present time"	0.0614039
seminary	0.0590731
"senior high school"	0.0589786
Wesleyan	0.05877
"University of Kansas"	0.0585233
"Harvard Business School"	0.0580747
eight-week	0.0580733
Putonghua	0.0559661
"University of Minnesota"	0.0557156
"University of Texas"	0.0553964
highschool	0.0550909
"University of Massachusetts"	0.0547482
"liberal arts"	0.0547429
"public speaking"	0.0546391
"Senior Bowl"	0.0540417
Emory	0.0535334
hands-on	0.0533061
"University of North Carolina"	0.053108
"University of Miami"	0.0526886
"first hand"	0.0526084
SBA	0.0522826
Sahalee	0.0520347
"University of Chicago"	0.0518266
"physical education"	0.0517346
"University of Illinois"	0.0516917
"Pleasant Valley"	0.051203
"Juilliard School"	0.051003
"Furman University"	0.0506613
"data entry"	0.0504821
"University of Colorado"	0.0504763
"University of Oregon"	0.0504312
"bird of prey"	0.0494035
"Long Beach State"	0.0493001
paralegal	0.0491501
"computer programming"	0.0482714
"University of Connecticut"	0.0480541
"Ohio State University"	0.0479202
"University of Southern California"	0.0477348
"University of Mississippi"	0.047681
"East Lake"	0.0476308
"McNeese State"	0.0476188
"San Diego State"	0.046921
"London School of Economics"	0.0468104
"San Jose State"	0.0465265
"Brigham Young University"	0.0464338
"University of Iowa"	0.0463845
ou	0.0463273
"University of Wyoming"	0.0458355
"Catholic school"	0.045833
"Louisiana State"	0.0457271
"University of New Mexico"	0.0456708
Chautauqua	0.0456392
"University of Maryland"	0.0454255
off-campus	0.045404
"University of Wisconsin"	0.0453022
"RCA Dome"	0.0451359
"grammar school"	0.0447494
"North Carolina State"	0.0445465
"Brandeis University"	0.0445336
"University of Florida"	0.0445144
"Nevada-Las Vegas"	0.0443578
"Barcelona Games"	0.0439751
"prep school"	0.0438401
"first aid"	0.0430543
"Jackson State"	0.0429053
Talmud	0.0427378
"Cal State Northridge"	0.042604
SAT	0.0425829
six-week	0.0424867
"Louisiana Tech"	0.0420028
"vocational school"	0.0418531
"special education"	0.0416356
"Brown University"	0.0415035
"Augusta National"	0.04145
CalTech	0.0412594
"Rice University"	0.0412277
"Syracuse University"	0.0411336
"University of Washington"	0.0410912
"secondary school"	0.0410189
"Le Mans"	0.040945
"Kennedy School"	0.0409139
"Oxford University"	0.0407339
Brandeis	0.040619
MBA	0.0401612
Siena	0.04012
))
("College of Charleston" (desc 1199.17) (sims
"Furman University"	0.284585
"Auburn University"	0.223658
"Michigan State University"	0.188532
"University of Rochester"	0.169955
"Florida International University"	0.165714
"Rice University"	0.164741
"University of Dayton"	0.162642
"University of Kentucky"	0.161976
"University of New Hampshire"	0.159643
"Vanderbilt University"	0.155988
"Barnard College"	0.155692
"University of Zimbabwe"	0.154914
"George Washington University"	0.151742
"University of Cincinnati"	0.150135
"Texas Christian University"	0.149861
"Dartmouth College"	0.148709
"Catholic University"	0.143452
"Howard University"	0.139837
"Rutgers University"	0.139656
"University of South Carolina"	0.139589
"Iowa State University"	0.139377
"American University"	0.138146
"Kansas State University"	0.138053
"Syracuse University"	0.137194
"University of Maryland"	0.134313
"Northeastern University"	0.133205
"Ohio State University"	0.131088
"Brown University"	0.130196
"Hebrew University"	0.130152
"Smith College"	0.127056
"University of Virginia"	0.126554
"University of Iowa"	0.125645
"University of Arkansas"	0.124312
"University of Toronto"	0.123869
"Louisiana State University"	0.120353
"Georgia State University"	0.118038
"University of Miami"	0.115981
"Georgetown University"	0.115053
"Fordham University"	0.114815
"Northwestern University"	0.114217
"University of North Carolina"	0.112992
"University of Rhode Island"	0.112992
"University of New Mexico"	0.112894
"San Francisco State University"	0.112672
"University of Wyoming"	0.111336
"University of Texas"	0.111118
"Georgia State"	0.110718
"Emory University"	0.109718
"Kent State"	0.109623
"Wright State University"	0.108613
"Brigham Young University"	0.108209
"Princeton University"	0.106393
"University of Illinois"	0.105428
"University of Wisconsin"	0.104669
"University of Georgia"	0.103575
"city university"	0.10318
"University of Connecticut"	0.10233
"Tufts University"	0.100403
"University of Nevada"	0.0993111
"Southern Methodist University"	0.0988405
"Duke University"	0.0985086
"Hunter College"	0.0984967
"California State University"	0.0980223
"Tehran University"	0.0979059
"University of Hong Kong"	0.0977237
"Peking University"	0.0976079
"University of Pittsburgh"	0.0975714
Marquette	0.0967292
"Colorado State University"	0.0965363
"North Carolina State University"	0.0943921
"University of Hawaii"	0.0943205
"University of Alabama"	0.0942654
"Florida State University"	0.0937781
"University of Florida"	0.0935233
"University of Michigan"	0.0918734
"Long Beach State"	0.0915499
"UC Irvine"	0.0912873
"University of Arizona"	0.0911945
"University of Kansas"	0.0911877
"London School of Economics"	0.0910054
"University of Houston"	0.0909551
"Williams College"	0.0899212
"Seton Hall University"	0.0896069
"air force academy"	0.0889413
"Southern Methodist"	0.0888647
Vassar	0.08842
"Arizona State University"	0.0880466
"Brandeis University"	0.0879467
"Purdue University"	0.0879192
"Jackson State"	0.0876096
"George Mason University"	0.0869806
Rutgers	0.0863535
"University of Oklahoma"	0.0859899
Dartmouth	0.0855515
"Harvard Business School"	0.0840108
"University of Massachusetts"	0.0839149
"Bob Jones University"	0.0838854
"Hofstra University"	0.0837079
"Baylor University"	0.0822102
"Washington University"	0.082207
"Southwest Missouri State"	0.0820735
"State University of New York"	0.0820593
"Montana State"	0.0820319
"Beijing University"	0.0820142
"University of Oregon"	0.081926
"University of Chicago"	0.0815204
"Weber State"	0.0814567
"University of Utah"	0.0811127
"Yale Law School"	0.0808822
"UC Berkeley"	0.0807422
"University of Missouri"	0.0806967
"Trinity College"	0.0806496
"University of Nebraska"	0.0801385
"University of Mississippi"	0.0800639
"Kennedy School"	0.0800617
"Boston University"	0.0800125
"New York University"	0.0796269
"City University of New York"	0.0772031
"University of Colorado"	0.0770251
"UC Santa Barbara"	0.0769456
"Mississippi State"	0.0769346
"Johns Hopkins University"	0.0768296
"University of Washington"	0.0760709
"Boston College"	0.0760617
Emory	0.0760269
"Temple University"	0.0748469
NAU	0.0742056
"Wake Forest University"	0.0739547
"Seton Hall"	0.0735074
"Virginia Tech"	0.0732985
"Queens College"	0.073147
"City College"	0.072902
"Indiana University"	0.0726689
"McNeese State"	0.0724633
KU	0.0724408
"Dallas Burn"	0.0724196
"National Autonomous University of Mexico"	0.0714191
"U.S. Naval Academy"	0.0712168
FSU	0.0711958
Purdue	0.0710711
"Texas Tech"	0.07095
"Old Dominion"	0.0708856
UMKC	0.0705748
"Washington State University"	0.0703789
"Columbia University"	0.0700876
"Texas Christian"	0.0699866
Tulane	0.0695374
Fordham	0.0694573
UMass	0.0692246
Georgetown	0.0692039
"Stanford University"	0.0685866
SMU	0.0684635
"University of Minnesota"	0.0682695
"Wake Forest"	0.0677708
Starzz	0.0674598
UTEP	0.0674588
"University of Notre Dame"	0.0670226
"N.C. State"	0.0669776
"Southern Mississippi"	0.066527
"Oklahoma State"	0.0660413
"Harvard University"	0.0654732
Furman	0.0654211
Clemson	0.0653899
"Southern Cal"	0.065196
"Ball State"	0.0649883
WSU	0.064893
"Harvard Law School"	0.0644839
"Yale university"	0.0639291
CUNY	0.0639074
"Heritage High School"	0.0635304
CalTech	0.0630533
BYU	0.0629
"University of Southern California"	0.0622912
Brandeis	0.0622545
yeshiva	0.0618923
"Appalachian State"	0.0618618
NYU	0.0614932
"Los Angeles Sparks"	0.0614901
Bu	0.0612981
"Massachusetts Institute of Technology"	0.0611526
"community college"	0.0607049
"Arizona State"	0.0606386
MSU	0.0603607
LSU	0.0602891
"Indiana State"	0.0598968
UNAM	0.0598648
Juilliard	0.0594748
Hofstra	0.059332
"Cornell University"	0.0587819
"Chinese University of Hong Kong"	0.058672
"Kiel Center"	0.0585737
ou	0.0584064
UNLV	0.0581567
Antioch	0.0579873
Qinghua	0.0578721
"Harvard School of Public Health"	0.0578106
"Makerere University"	0.0577985
IU	0.0573509
Xavier	0.0572344
SFA	0.0570643
))
("College Park" (desc 2231.35) (sims
Riverdale	0.136539
Dunwoody	0.135771
"Silver Spring"	0.131721
Kensington	0.12828
Alpharetta	0.123544
Lawrenceville	0.122455
Rockville	0.118412
Bethesda	0.116037
"Gwinnett County"	0.113083
Stockbridge	0.111654
Aberdeen	0.111575
"Ocean City"	0.106805
Suwanee	0.106665
Wheaton	0.106243
"Overland Park"	0.102371
"Montgomery County"	0.0984012
Norcross	0.0980352
Cumberland	0.0959972
Flushing	0.0925115
Fayetteville	0.0916395
LaGrange	0.0906241
"Forest Hills"	0.0904559
Buckhead	0.0900233
"South Bronx"	0.0879117
Potomac	0.0877924
Annapolis	0.0865792
Evanston	0.086539
"Stone Mountain"	0.0864318
Bedford-Stuyvesant	0.0855064
Englewood	0.0848492
Americus	0.0841372
"Cobb County"	0.0834443
Gainesville	0.0832787
Ridgewood	0.082591
"Coral Gables"	0.0825206
Bloomington	0.0824186
"East Los Angeles"	0.0814694
"Park Slope"	0.0810839
"Boynton Beach"	0.0808004
Morristown	0.0799109
"San Marcos"	0.0795362
"Highland Park"	0.0783371
Decatur	0.078334
Astoria	0.0782919
Bensonhurst	0.0776008
"East Boston"	0.0775719
LAKEWOOD	0.07725
"West Village"	0.0760742
oceanfront	0.0759686
"Crown Heights"	0.0755424
"Rockdale County"	0.0753137
"Fulton County"	0.074978
"Brooklyn Heights"	0.0748001
"East Orange"	0.0747017
Glendale	0.0741296
Chatsworth	0.0740772
Medford	0.0737856
Smyrna	0.0736893
Duluth	0.073369
"Van Nuys"	0.0733145
Kirkland	0.0729835
Jonesboro	0.0728754
"DeKalb County"	0.0714925
"Newport Beach"	0.0712881
Lenexa	0.0710063
"Wye River"	0.0709119
Bangor	0.0707856
Thomasville	0.0704862
"Chevy Chase"	0.069472
"Long Island City"	0.0691452
"East New York"	0.0689781
Frederick	0.0685115
Westfield	0.0685008
Waltham	0.0680757
Rochester	0.0674979
lakefront	0.0670238
"College Station"	0.0670077
Lakeland	0.0669772
"East St. Louis"	0.0669484
Yonkers	0.066737
Covington	0.0665825
Salisbury	0.0659023
Tempe	0.0658889
"Palm Beach Gardens"	0.0657337
Bronx	0.0656736
Burlington	0.0656485
"Manhattan Beach"	0.0653504
"Delray Beach"	0.0652203
"Union City"	0.0650537
"West Hollywood"	0.0648934
Carrollton	0.0641666
Framingham	0.0635569
Shreveport	0.0634516
Charlestown	0.0634404
Dorchester	0.0631107
Brentwood	0.0628447
"South Boston"	0.0626421
Sausalito	0.0625196
"South End"	0.0621833
"Port St. Lucie"	0.0620793
"Hell's Kitchen"	0.0616587
"Mill Valley"	0.0613724
Pasadena	0.0611454
"San Fernando Valley"	0.0608363
"El Segundo"	0.0607267
Woodside	0.0604014
Brunswick	0.0603411
"North Hollywood"	0.0602768
"Menlo Park"	0.0601914
Shawnee	0.0600864
Westminster	0.0599168
Woburn	0.0596309
"New Rochelle"	0.0596067
"The Bronx"	0.0595181
Lansing	0.0593928
Dusseldorf	0.0592478
"Saratoga Springs"	0.0592056
ATTLEBORO	0.059178
"Washington Heights"	0.0591068
Wallingford	0.0589493
"Fort Benning"	0.0589424
Spokane	0.0588329
"North End"	0.0587824
Easton	0.0583391
"Left Bank"	0.058306
"Baton Rouge"	0.058034
Arlington	0.0580319
Amherst	0.0579958
"Mountain View"	0.0579118
Quincy	0.0578818
"Santa Rosa"	0.0578144
Plano	0.0576984
"East Village"	0.0576491
"Miami Valley"	0.0575654
"Walnut Creek"	0.0575447
"New Haven"	0.0574634
Fredericksburg	0.0574553
Nacogdoches	0.0573171
"Jersey City"	0.057197
Roxbury	0.0571875
"East Lansing"	0.0571671
Falmouth	0.0570298
Paterson	0.0570073
"Woodland Hills"	0.0567906
"Santa Monica"	0.0567667
TALLAHASSEE	0.0566312
Hollis	0.0565119
Antioch	0.0564495
Hanover	0.0563599
Queens	0.0561748
Charlottesville	0.0559945
"Hyde Park"	0.05598
"Palo Alto"	0.0557467
"Lake Worth"	0.0555779
"Chapel Hill"	0.0555708
Marlborough	0.055286
Knoxville	0.0551549
"Sandy Springs"	0.0550158
beachfront	0.0549466
Roswell	0.0549257
Forsyth	0.0549107
"East Harlem"	0.0548533
Dalton	0.0547166
ASHEVILLE	0.0546643
"Simi Valley"	0.0546111
"Huntington Beach"	0.0544259
Greenville	0.0543817
lakeside	0.0543321
"Studio City"	0.0540443
Middletown	0.0539355
"Flushing Meadows"	0.0534635
"Wye Plantation"	0.0534024
Flatbush	0.0533587
"Brighton Beach"	0.0531614
Wellesley	0.0530078
Needham	0.0527903
"Bay Ridge"	0.052663
"Garden City"	0.0521682
"Paradise Valley"	0.0521076
McDonough	0.0519613
"Ann Arbor"	0.051942
"Miami Beach"	0.0515338
"Round Rock"	0.0515328
Modesto	0.0515154
Boulder	0.0514354
Montclair	0.0513982
Stamford	0.0511659
Bowie	0.0511012
Greensboro	0.0510556
Augusta	0.0510208
BASEL	0.0508879
Wichita	0.0507778
"Midtown Manhattan"	0.0506874
tenement	0.0506657
"Culver City"	0.0504779
"Pacific Palisades"	0.0503288
Scottsdale	0.0502436
"Thousand Oaks"	0.0502074
Jasper	0.0501978
"Corpus Christi"	0.050104
))
("College Station" (desc 3596.79) (sims
Amarillo	0.166239
"Wichita Falls"	0.146421
"Corpus Christi"	0.134538
Galveston	0.129619
Texarkana	0.126632
Lubbock	0.117197
Harlingen	0.115863
"San Marcos"	0.113052
TALLAHASSEE	0.111912
"Round Rock"	0.108565
Abilene	0.10688
Killeen	0.106816
"El Paso"	0.101754
Laredo	0.100983
Plano	0.099747
Brownsville	0.0988313
"Fort Worth"	0.0962379
Bloomington	0.095639
Longview	0.0938448
Lufkin	0.0933125
"San Angelo"	0.0915748
"New Braunfels"	0.0907553
Huntsville	0.090754
Denton	0.0902651
Odessa	0.0897894
Tuscaloosa	0.0896839
"San Antonio"	0.0864509
"Guatemala City"	0.0850476
Raleigh	0.0835814
Provo	0.0827175
Malmo	0.082372
"Alamo Bowl"	0.0820332
Gelsenkirchen	0.080791
McAllen	0.0805597
Arlington	0.0798693
Beaumont	0.0796152
"Grand Prairie"	0.0789066
Greenville	0.0784715
"Chapel Hill"	0.0780967
Waco	0.077974
"East Lansing"	0.0765963
"Ann Arbor"	0.0764446
Topeka	0.0761481
Jasper	0.0754937
Nacogdoches	0.0754296
"Overland Park"	0.0749987
Pleasanton	0.0748892
Plattsburgh	0.0745159
"Del Rio"	0.0735766
midland	0.0712779
Laramie	0.0712143
Goteborg	0.0705898
Chamonix	0.0700916
Pasadena	0.070049
Durham	0.0699076
"Quebec City"	0.0695789
"Eagle Pass"	0.0694098
"Oklahoma City"	0.06922
Burlington	0.0690108
Knoxville	0.068679
Halle	0.0674277
Duesseldorf	0.0671584
"College Park"	0.0670077
Hanover	0.0668463
Bryan	0.0658429
Tucson	0.0655585
"Port Arthur"	0.0655455
Williamstown	0.0655168
"Coral Gables"	0.0651044
Memphis	0.0649997
Essen	0.0644384
"Egyptian capital"	0.0642884
Harrisburg	0.0641965
Bedford	0.064155
Shreveport	0.0641419
"Des Moines"	0.0640933
Carrollton	0.0640586
Charlotte	0.0639989
"St. Petersburg"	0.063959
Gainesville	0.063609
"CHIANG MAI"	0.0634994
"Santa Rosa"	0.0633936
Bangor	0.0633703
Greensboro	0.0632935
"South Bend"	0.063225
"Ho Chi Minh City"	0.063087
Katy	0.0630174
Hobart	0.0625972
"West Palm Beach"	0.0624588
"Lake Worth"	0.0622139
Tyler	0.0621958
Alexandria	0.061979
Manchester	0.0619591
Bengkulu	0.0619073
Rabat	0.061575
Managua	0.0613158
Cartagena	0.0612265
Storrs	0.0612002
Fredericksburg	0.0607227
Vilnius	0.060704
Dublin	0.0604443
Blacksburg	0.0604339
BOGOTA	0.0602498
Albany	0.060247
Newark	0.0601041
Minneapolis	0.0601024
Gdansk	0.060023
"Santa Clara"	0.0599222
Fayetteville	0.0598516
"Saratoga Springs"	0.0598266
Pinehurst	0.059657
"San Sebastian"	0.0596184
Stuttgart	0.0596006
"Palo Alto"	0.0594078
Tampa	0.0593922
MELBOURNE	0.0593076
Seville	0.0590544
Tempe	0.0589996
Birmingham	0.0588589
"Myrtle Beach"	0.0586845
Gaborone	0.058619
Eastbourne	0.0585542
Lausanne	0.0585435
Cebu	0.0584397
"Mountain View"	0.0584055
Boise	0.0582578
Eugene	0.0581942
"Little Rock"	0.0581787
Fresno	0.058124
Omaha	0.0581172
"San Rafael"	0.0581125
Irving	0.0576949
Utica	0.0574497
Charlottesville	0.0570644
BUDAPEST	0.0570567
Durban	0.0568007
"Fort Lauderdale"	0.0566604
Scottsdale	0.0562693
Istanbul	0.0562531
Linz	0.0562259
Albuquerque	0.0561379
Perth	0.056121
Yonkers	0.0561128
"Harris County"	0.056103
Winston-Salem	0.0560574
Emeryville	0.0557302
Middletown	0.0555021
Belfast	0.0553819
LISBON	0.0551875
TRENTON	0.0551247
Glasgow	0.0550954
Rotterdam	0.0549245
TEGUCIGALPA	0.0549173
Akron	0.0548047
"Miami Beach"	0.0547929
Honolulu	0.0547869
Portsmouth	0.0547817
Columbus	0.0546021
Suva	0.054576
"Hilton Head"	0.0545744
Turin	0.0542246
Guadalajara	0.0540983
Katmandu	0.0540925
Carlsbad	0.0539499
NHIS	0.0539354
Munich	0.0535692
"SIERRA BLANCA"	0.0535126
"Salt Lake City"	0.0534998
PALERMO	0.0534319
anchorage	0.0533221
Lexington	0.0532956
Watertown	0.05327
Poughkeepsie	0.053081
Spokane	0.0529506
Louisville	0.0529048
Bethlehem	0.0528376
"Key West"	0.0527998
Wilmington	0.0527416
"Santa Cruz"	0.052652
Dakar	0.0525375
Basle	0.0523905
Windhoek	0.052368
Norfolk	0.0519876
Santiago	0.0519626
Freeport	0.0519316
WARSAW	0.051906
Antwerp	0.0518756
CARACAS	0.0517934
BUCHAREST	0.0517564
"Palm Beach Gardens"	0.0514891
STOCKHOLM	0.0512863
Weimar	0.0512789
"Cape Town"	0.0511714
Almaty	0.0511678
Lansing	0.0511504
"Fort Collins"	0.0507706
Bethesda	0.0506296
Madison	0.0505486
"Daytona Beach"	0.0504269
Springfield	0.0504172
))
("college student" (desc 42154.7) (sims
"university student"	0.191535
student	0.190372
teen-ager	0.146402
teenager	0.134192
youngster	0.132323
"senior citizen"	0.12937
schoolchildren	0.128153
teens	0.126788
farmer	0.125478
retiree	0.124414
adult	0.123057
senior	0.122419
worker	0.120017
resident	0.118119
teacher	0.117681
youth	0.117457
woman	0.116259
graduate	0.115792
child	0.114821
undergraduate	0.113813
pupil	0.113665
tourist	0.110908
professional	0.109679
people	0.109298
adolescent	0.108375
businessmen	0.107622
immigrant	0.106697
entrepreneur	0.106531
"graduate student"	0.105997
citizen	0.105374
girl	0.103903
journalist	0.103066
freshmen	0.102934
kid	0.102423
homeowner	0.101578
"young man"	0.10044
volunteer	0.100317
laborer	0.100209
parent	0.0998349
scientist	0.0994073
consumer	0.0993606
male	0.0991034
activist	0.0986142
Latino	0.0982161
user	0.0975197
household	0.0974977
pensioner	0.0962002
migrant	0.0961483
athlete	0.0961022
smoker	0.0957967
"business executive"	0.0951427
"factory worker"	0.0947004
traveler	0.0946066
employee	0.0944699
dropout	0.0944137
"young woman"	0.0943944
customer	0.0943283
American	0.0942273
Hispanic	0.0941919
firefighters	0.0937684
African-American	0.093714
visitor	0.0936156
applicant	0.0934584
"medical student"	0.0934553
"farm worker"	0.0934087
"police officer"	0.0931026
foreigner	0.0928453
shopper	0.0906178
doctor	0.0906133
patient	0.0905773
"civil servant"	0.0901475
orphan	0.0901069
postgraduate	0.0901004
voter	0.0900292
physician	0.0897726
villager	0.0892485
artist	0.089222
prostitute	0.0892054
"law student"	0.0891603
elderly	0.089131
"business leader"	0.0891304
urbanites	0.0890774
scholar	0.0890474
musician	0.0890458
seminarian	0.0888202
nurse	0.0887589
Beijingers	0.0884782
intellectual	0.0884282
"drug addict"	0.0880915
individual	0.0876746
Mexican	0.0873276
inmate	0.0873082
"coal miner"	0.0870434
family	0.0870416
educator	0.0869816
investor	0.0869024
politician	0.0867521
recipient	0.0866277
servicemen	0.0863156
academic	0.0862748
member	0.0862124
"home buyer"	0.0859174
pilgrim	0.0856825
"baby boomer"	0.0855947
veteran	0.0855542
Haitian	0.085182
technician	0.0851234
"faculty member"	0.0850552
Filipino	0.0848817
"Matthew Shepard"	0.0847264
engineer	0.0844926
miner	0.0844361
cadet	0.0843464
vacationer	0.0843259
man	0.0843254
"military personnel"	0.0840658
businesspeople	0.0837621
Fishermen	0.0834136
"AIDS patient"	0.0833656
housewife	0.0833274
"union member"	0.0832978
commuter	0.0831141
settler	0.0830928
priest	0.0830001
Reader	0.0829442
recruit	0.0823796
collector	0.0820133
Chinese	0.0818591
Iranian	0.0817479
"public servant"	0.0816211
buyer	0.0815575
"foster child"	0.0814318
boy	0.081222
motorist	0.0811256
Tibetans	0.0811
civilian	0.0809319
learner	0.080887
"New Yorker"	0.0808389
policemen	0.0807981
driver	0.080783
peasant	0.0807284
homeless	0.0805416
listener	0.0804461
Californian	0.0801245
"staff member"	0.0800254
surfer	0.0799892
"black man"	0.0799557
fan	0.0799455
reservist	0.0794542
Cuban	0.0794228
missionary	0.0793808
passenger	0.0793196
parishioner	0.0791816
folk	0.0791208
aged	0.079005
"business traveler"	0.0788044
Nigerian	0.0787367
Canadian	0.0784044
addict	0.0783186
Jew	0.0781756
enterprise	0.0780177
"Sri Lankans"	0.0779446
job-seekers	0.0779024
preschoolers	0.077854
viewer	0.0777396
refugee	0.0776869
trainee	0.0776635
"family member"	0.0775513
"computer programmer"	0.077357
Alumni	0.0770111
centenarian	0.0768392
Catholic	0.0767913
Programmer	0.0765776
female	0.0763523
freshman	0.0762503
"black woman"	0.0761266
banker	0.0760627
"young girl"	0.0759591
"religious leader"	0.0759398
"temporary worker"	0.0758759
Cambodian	0.0758193
Texan	0.0757134
black	0.0757029
monk	0.0756606
Kenyan	0.0756254
trader	0.0756053
grader	0.0754883
College	0.0753473
minority	0.0752887
researcher	0.0750643
schoolers	0.0748637
subscriber	0.0747853
Mozambican	0.0746679
soldier	0.0746018
Angolan	0.0743685
Briton	0.0743434
participant	0.0742945
"truck driver"	0.0742477
"elected official"	0.0742343
toddler	0.0741691
))
("College World Series" (desc 4289.35) (sims
"Little League World Series"	0.271947
"National Invitation Tournament"	0.203442
"Sweet @@"	0.186829
"NCAA Tournament"	0.17434
"Stanley Cup Finals"	0.166518
"NBA Finals"	0.16267
CWS	0.157299
nit	0.14602
"World Series"	0.144835
"Rose Bowl"	0.13293
NCAAs	0.131164
"sugar bowl"	0.13059
"Copa America"	0.130153
NLCS	0.12798
"Fiesta Bowl"	0.126425
postseason	0.125578
"All-Star Game"	0.122726
"South Regional"	0.122215
"Midwest Regional"	0.122046
"Big Sky Conference"	0.120782
ALCS	0.120263
"Orange Bowl"	0.120166
post-season	0.11771
"West Regional"	0.116198
"Super Bowl"	0.111911
"Boston Marathon"	0.111342
"Cotton Bowl"	0.11018
"Australian Open"	0.108448
"Fed Cup"	0.106795
tourney	0.106707
"U.S. Senior Open"	0.106594
"U.S. Amateur"	0.106142
"Super Bowl XXXIII"	0.106042
"Pan American Games"	0.105974
"European Cup"	0.105586
"East Regional"	0.1054
Maurier	0.105076
"Gold Cup"	0.104894
"MLS Cup"	0.104064
"Tour Championship"	0.101881
"cup final"	0.100676
"Stanley Cup"	0.0994988
playoff	0.099287
"Division Series"	0.0990568
"first cup"	0.0982585
"British Open"	0.0981063
"big league"	0.0975177
"Confederations Cup"	0.0972444
"AFC Championship Game"	0.0971894
"World Cup"	0.0971529
"United States Open"	0.0962555
Masters	0.0961938
"U.S. Open"	0.0961305
"US Open"	0.0957668
"Pan Am Games"	0.0948737
WNBA	0.0945821
"Asian Cup"	0.0941478
"Gator Bowl"	0.0941385
"Davis Cup"	0.0939645
"Kickoff Classic"	0.0932413
"American League West"	0.0931928
Pacific-@@	0.0931894
"New York City Marathon"	0.0931124
"Canadian Open"	0.0917222
"FA Cup"	0.0914626
"field hockey"	0.0910945
ACC	0.0907699
"Southwest Conference"	0.0907336
"NFC East"	0.0901211
volleyball	0.0892087
"Solheim Cup"	0.0884111
semi	0.0883587
"AFC Central"	0.0881852
Wimbledon	0.0879624
"European Championships"	0.0875924
"ice hockey"	0.0874931
"Indy @@@"	0.0871047
"Big Sky"	0.0867308
"Big East"	0.0860518
"Sydney Olympics"	0.0858025
"Thomas Cup"	0.0854288
"Western Conference Finals"	0.0853115
"extra inning"	0.0851197
"National Basketball Association"	0.0848409
"Top Fuel"	0.0848356
"French Open"	0.0847962
Pac-@@	0.084506
snooker	0.0844521
"Maurier Open"	0.0840166
"European Champions Cup"	0.0838247
Olympics	0.08367
nonconference	0.0835421
"Goodwill Games"	0.0833248
"Pan Ams"	0.0831846
"Kentucky Derby"	0.0826073
"NL East"	0.0819519
"Conference USA"	0.0819318
AFL	0.0813716
"Dunhill Cup"	0.081326
"African Nations Cup"	0.0811687
"National League West"	0.0811173
"European Championship"	0.0810908
"PGA Championship"	0.0810668
"London Marathon"	0.0809712
"National League Championship Series"	0.080662
regionals	0.080635
"National Collegiate Athletic Association"	0.0797537
"Asian Games"	0.0795707
EuroLeague	0.0790793
"Southeastern Conference"	0.0788523
"Pro Bowl"	0.0788515
"AFC West"	0.0784453
"Commonwealth Games"	0.0782252
"football season"	0.0781048
"NFC West"	0.0780795
"Daytona @@@"	0.0770397
"Funny Car"	0.0770183
"Winston Cup"	0.0766993
"match play"	0.0766773
NCAA	0.0766094
"baseball game"	0.0765845
A.L.	0.0764513
"National Hockey League"	0.0760843
softball	0.0758998
Astrodome	0.0755355
"Japan Open"	0.075494
"World League"	0.0754242
"Summer Games"	0.0753895
"Nissan Open"	0.0751072
ml	0.075034
"NFC Central"	0.0749658
"water polo"	0.0744679
"Champions League"	0.0744439
"Italian Open"	0.0739643
"Super Bowl XXXIV"	0.0738819
"Western Athletic Conference"	0.0738208
badminton	0.0736544
"NL Central"	0.07365
"Italian League"	0.0733965
"Champions Cup"	0.07318
"Ryder Cup"	0.0729055
"major league"	0.0729005
interleague	0.0725494
"Western Conference"	0.0723867
"Big @@"	0.0722005
skeet	0.0721183
"NFC Championship Game"	0.0719651
"African Cup"	0.0717654
"junior welterweight"	0.0713908
quarterfinal	0.0712673
cruiserweight	0.0712264
flyweight	0.0711996
"UEFA Cup"	0.0711724
"Central Division"	0.0711208
"Division I-AA"	0.0709258
Rugby	0.070834
"NL West"	0.0706337
"Hopman Cup"	0.070413
"AL West"	0.0703571
CONCACAF	0.070082
"National League East"	0.0699801
"German Open"	0.0698809
triathlon	0.069654
NFC	0.0696214
preseason	0.0695753
"World Championship"	0.0695459
"basketball season"	0.0694648
Lipton	0.0694608
AHL	0.0693415
"American League East"	0.0689461
"Premier League"	0.0689336
nightcap	0.0688429
"shot put"	0.068479
Gymnastics	0.0684263
decathlon	0.068419
"World Championships"	0.0682229
"table tennis"	0.067888
"hockey game"	0.0677994
PGA	0.0676992
"American League"	0.0676283
"Atlanta Games"	0.0675275
"Pro Bowls"	0.0675175
"European Champions League"	0.0672669
"little league"	0.0670882
"Players Championship"	0.0670003
"AL East"	0.0669249
"playoff game"	0.0668845
"F.A Cup"	0.0668353
"National League"	0.0668343
"Hong Kong Open"	0.0662947
"Winter Olympics"	0.0662916
men's	0.0662898
Series.	0.0662648
"SEC East"	0.0662461
bullfight	0.0662018
"exhibition season"	0.0661267
epee	0.0661175
"Busch Grand National"	0.0659514
"Brickyard @@@"	0.0658837
Bundesliga	0.0658734
))
(college-educated (desc 1175.19) (sims
HIV-positive	0.13695
lactose	0.098466
overweight	0.0960191
Buddhist	0.0892128
"Sunni Muslims"	0.0862592
"drug user"	0.0697843
"African American"	0.0680161
Caucasian	0.0665528
non-Catholic	0.0647707
breadwinner	0.0646024
non-whites	0.0615468
pro-choice	0.0557228
learner	0.0524013
Asian-American	0.0488473
first-timers	0.0475268
"Orthodox Christians"	0.0474008
churchgoer	0.0465978
"substance abuser"	0.0464313
"Nhan Dan"	0.0455172
ill-prepared	0.0454489
hellbent	0.0452067
schizophrenic	0.0450983
complicit	0.0449739
"Coptic Christians"	0.0441447
Y@K-compliant	0.04358
"giving birth"	0.0434191
internationalist	0.0431675
hobbyist	0.0427709
Sunni	0.0419645
TRUANT	0.0412346
Sephardic	0.0410283
perfectionist	0.0404341
"people of color"	0.0400648
))
(collegiality (desc 1287.45) (sims
comity	0.114379
bipartisanship	0.101697
decorum	0.0971025
cordiality	0.0924103
civility	0.0848766
teamwork	0.0835972
decency	0.083174
interoperability	0.0808502
connectedness	0.0755842
self-awareness	0.0746497
cohesion	0.0724749
Amity	0.0680972
professionalism	0.0674072
"class warfare"	0.0668796
self-respect	0.0651322
conciliation	0.0638057
"civic duty"	0.063383
cohesiveness	0.063295
humility	0.0629762
cross-fertilization	0.0623718
smugness	0.0618968
self-satisfaction	0.0613099
domesticity	0.0609944
self-discipline	0.0606251
equilibrium	0.0605821
foreboding	0.0603239
rationality	0.0596269
"creature comforts"	0.0590066
self-esteem	0.0588972
sanity	0.0573749
contentment	0.0565647
neighborliness	0.0565373
camaraderie	0.0558259
"political relation"	0.0558053
"sense of responsibility"	0.055283
confidentiality	0.0551724
"good manners"	0.0545937
"personal relation"	0.0541374
match-ups	0.0536963
distinctiveness	0.0531148
good-neighborliness	0.0530943
self-restraint	0.0530391
worthiness	0.0527467
self-importance	0.0519457
"missionary work"	0.0516332
"co- operation"	0.0500018
good-neighborly	0.0498416
self-confidence	0.0497088
"sense of duty"	0.0491332
homeownership	0.049091
calmness	0.0488777
nonviolence	0.0487826
exclusivity	0.0484032
willpower	0.048284
unanimity	0.0482525
inclusiveness	0.0481741
proficiency	0.0481671
"good spirit"	0.0477987
sportsmanship	0.0475678
McCarthyism	0.0475676
uniqueness	0.0475231
bullishness	0.0467521
volunteerism	0.0464267
disunity	0.0462819
ephemera	0.0461928
objectivity	0.0459714
completeness	0.0454299
disquiet	0.0451309
self-control	0.0450922
bonhomie	0.0450679
dissension	0.0448918
individuality	0.04486
trustworthiness	0.0447991
cleverness	0.0447391
spunk	0.0445638
ennui	0.0443538
unreality	0.0443297
nobility	0.0441208
composure	0.0440669
coolness	0.0438782
commonality	0.043665
timeliness	0.0433366
detente	0.0432167
"business relation"	0.0430948
informality	0.042963
tranquility	0.0427874
seniority	0.0425582
specialization	0.0425158
"shareholder value"	0.0424791
individualism	0.0420405
playfulness	0.0416949
HDL	0.0416947
frankness	0.0415379
confidence-building	0.0413339
"B&AMP;B"	0.0412886
"social contract"	0.041164
self-worth	0.0411318
tact	0.040945
self-reliance	0.0409302
complementarity	0.0409001
"elbow room"	0.0408737
horse-trading	0.0408306
acrimony	0.040768
companionship	0.0406986
portability	0.0406162
elasticity	0.0405659
self-censorship	0.0405135
rejoicing	0.0403838
politeness	0.0402979
))
(collegian (desc 3160.75) (sims
twentysomethings	0.0899592
QBs	0.071604
multimillionaires	0.0705612
"major leaguer"	0.0665838
schoolers	0.0655824
preteens	0.0654696
knucklehead	0.0652538
infantrymen	0.0632246
All-stars	0.0628203
draftee	0.0625633
Nepalese	0.0623008
All-Americans	0.0616484
"black person"	0.0601693
miler	0.0597649
upperclassmen	0.0597434
"role player"	0.0573295
"shop assistant"	0.0569789
phenoms	0.0563973
"minor leaguer"	0.0560657
skydiver	0.0555768
Frenchmen	0.0554573
"big leaguer"	0.0552491
Jamaican	0.0551567
"bird watcher"	0.0548383
fourth-graders	0.0545535
"No. @s"	0.0540052
major-leaguers	0.0538427
"British Opens"	0.0537297
"baseball player"	0.05364
firsts	0.0535749
freshmen	0.0534887
"service break"	0.0527414
marathoner	0.052677
businesswomen	0.0525881
rower	0.0522056
violinist	0.0521291
goaltenders	0.0519499
Dutchmen	0.0519318
"professional golfer"	0.0518676
"Shaun Alexander"	0.0514249
minor-leaguers	0.0512557
desperado	0.0510123
"heavy hitter"	0.0509599
"South Koreans"	0.0507775
"State Law and Order Restoration Council"	0.0503409
closers	0.0501351
Gi	0.0500511
kindergartners	0.0500155
hemophiliac	0.0499692
vagrant	0.0498724
"Alexandra Stevenson"	0.0496221
serviceman	0.0495074
"Eric Wynalda"	0.0493938
wrestler	0.0485758
"opera star"	0.048089
"Brad Friedel"	0.047911
footballer	0.0477946
Enis	0.0477325
Gugliotta	0.0475135
homebuyers	0.0475082
eighth-graders	0.0472199
rebounders	0.0471907
sherpas	0.0468346
"two pitchers"	0.0468068
seminarian	0.046768
midshipmen	0.0466101
lifter	0.046487
"Kim Batten"	0.0462397
"Courtney Brown"	0.0462341
"Drew Bennett"	0.0462145
starlet	0.0460521
transnationals	0.046012
"New Zealander"	0.0459321
ex-convicts	0.0459075
mountaineer	0.0458602
"Michael Weiss"	0.0458435
"John Vanbiesbrouck"	0.0458215
wage-earner	0.0457714
Olympian	0.0457708
"thermonuclear warhead"	0.0457647
skater	0.0456323
"medical specialist"	0.0454735
mainlanders	0.0451835
sportscaster	0.0451761
Muscovite	0.0451032
caddie	0.0449346
racer	0.0448949
Minnesotan	0.0448879
"Kasey Keller"	0.0448512
balloonist	0.04482
"New Democrats"	0.0447785
cyclist	0.0446493
skiiers	0.0444921
"little leaguer"	0.0444192
cellist	0.0443431
"Jim Harrick"	0.0441679
"army engineer"	0.0441635
Englishmen	0.0440806
carmakers	0.0439964
oilmen	0.0437928
fella	0.0437613
oxen	0.0435054
"Claudio Reyna"	0.0434935
"surface ship"	0.043394
bird-watchers	0.0433511
ballplayer	0.0433096
spacewalkers	0.0432435
Klansmen	0.0432277
"temporary worker"	0.0431809
"major-league team"	0.0431001
airmen	0.0427076
"Michael Dell"	0.0427021
"beer drinker"	0.0426863
Singaporean	0.0426592
"Matt Kuchar"	0.0425116
linemen	0.0424716
cornerbacks	0.0424112
comer	0.0422936
filmgoers	0.0421816
passer	0.0420424
third-graders	0.0418621
minibuses	0.0418487
"U.S. Opens"	0.0417265
bloke	0.0416105
soliders	0.0415891
"Russian bank"	0.0415431
"Ryder Cups"	0.0414497
celebs	0.0414208
e-tailers	0.0414158
"volleyball player"	0.0414084
Brit	0.0413789
standouts	0.0413713
Beijingers	0.0412813
signees	0.0412796
Ukrainians	0.0412757
"hockey coach"	0.0412356
co-leaders	0.0412216
panelist	0.0412156
gymnast	0.0412144
climber	0.0411477
astronomer	0.0411471
walk-on	0.0410018
"Kosovo Serbs"	0.0410003
Yugoslavian	0.0409571
quarterfinalists	0.0408604
looker	0.040822
frontrunners	0.0408081
animators	0.0408054
"Phenix City"	0.040799
"secret agent"	0.0407751
moviemakers	0.040767
bagpiper	0.0407588
"computer giant"	0.0407462
bogy	0.0407232
"intelligence agent"	0.0407229
internationals	0.0406779
"hockey player"	0.040632
"con artist"	0.0405957
"consumer credit"	0.0405723
fifths	0.0405558
Spaniard	0.0404638
do-it-yourselfers	0.0404566
derriere	0.0404343
"Boomer Esiason"	0.0402877
burglar	0.0401885
overachiever	0.0401659
Floridian	0.040077
"New Englander"	0.0400322
matador	0.0400064
))
(collider (desc 1270.48) (sims
spectrometer	0.129523
"particle accelerator"	0.121015
"booster rocket"	0.0799489
"house of cards"	0.0749078
megaplexes	0.0741656
"Belmont Learning Center"	0.073519
accelerator	0.0719287
Zeb	0.069721
"Fox Network"	0.0691553
A@XX	0.0660071
heliport	0.0620075
"Erie Canal"	0.0618952
"highway system"	0.0616373
"two units"	0.061421
"assembly hall"	0.0611772
waterworks	0.0609359
"storage device"	0.0608292
flyover	0.0606463
"Miller Park"	0.0603488
regionals	0.0601956
EPZ	0.0598065
"Kostya Tszyu"	0.0595213
injector	0.0593776
"suspension bridge"	0.0592309
"Terminal @"	0.0585433
"railway system"	0.0574973
"ring road"	0.0574768
"Gorges Dam"	0.0573666
Xiaolangdi	0.0572799
"Andrea Gail"	0.0572235
"Mars Polar Lander"	0.0569049
Moldovan	0.0567705
cofferdam	0.0565595
airship	0.0562104
"Erik Morales"	0.0558925
Acela	0.0558216
"Beijing-Kowloon Railway"	0.055505
"transmission line"	0.0552058
"domed stadium"	0.05505
"football stadium"	0.0542786
sedation	0.0540711
"gas plant"	0.0536381
"audio CD"	0.0536357
cistern	0.0526114
"Little Dog"	0.0524824
"laundry detergent"	0.0524612
"Mars Climate Orbiter"	0.052269
"Pudong International Airport"	0.0521698
granary	0.0519902
"Johnny Tapia"	0.0517022
INRO	0.0516711
"pedestrian bridge"	0.0505204
LNG	0.0502892
Thunderbird	0.0499794
filigree	0.049949
"American Basketball League"	0.049795
propulsion	0.0495994
megaplex	0.0495513
"ball field"	0.0493301
treehouse	0.0490966
planetarium	0.0490659
"pressure cooker"	0.0489828
"gas line"	0.0483711
"weather satellite"	0.0477152
Havelange	0.047177
"Millennium Dome"	0.0471661
edifice	0.046988
"packing plant"	0.0469365
taxiway	0.0468309
IX	0.0467668
"power unit"	0.0467302
"trunk line"	0.0465276
"access road"	0.0464342
"Al Aqsa Mosque"	0.0461845
"Joint Strike Fighter"	0.0461303
"wind power"	0.046104
"oil tanker"	0.0460938
"collective farm"	0.0460903
"first unit"	0.0460208
latrine	0.0460187
"railroad line"	0.0459307
viaduct	0.0455978
"vitamin D"	0.0455533
Kilborn	0.0454912
Buicks	0.0453315
NCEC	0.045104
seawall	0.0447898
"National Missile Defense"	0.044745
"bond offering"	0.0443033
"neutron bomb"	0.0442818
"tax reduction"	0.0441641
"Gorges Project"	0.0441399
whaler	0.0441333
"trading floor"	0.0440749
Cairn	0.0440687
"three schools"	0.0440225
"leap year"	0.0439569
"sewer line"	0.0433172
"water project"	0.0433045
Lilco	0.0430607
stadia	0.0430184
"Jeep Grand Cherokee"	0.0429756
playpen	0.0428027
"credit system"	0.0426857
"International Space Station"	0.0426788
"Welfare Party"	0.042598
"weapons system"	0.0425913
"Macao International Airport"	0.0424422
S@@	0.0422028
incinerator	0.0421842
abattoir	0.0421823
monorail	0.042056
"point system"	0.0420025
"social contract"	0.0418232
"flour mill"	0.041703
Stroganoff	0.0416906
"Panama Canal"	0.0416461
teahouse	0.0415023
"relay stations"	0.041418
"pumping station"	0.0412509
write-down	0.0412275
smelter	0.0411898
minicomputer	0.0411361
superspeedway	0.0411343
"defense mechanism"	0.040951
"Safeco Field"	0.0409479
"jigsaw puzzle"	0.0409063
colonias	0.0407768
selloffs	0.0407665
refurbishment	0.0407022
"Memorial Hall"	0.0407006
"residence hall"	0.0405449
"price support"	0.0405038
speller	0.0404017
"Department of Environment"	0.0402325
triathletes	0.0401623
"software system"	0.0401154
ECN	0.0400684
supercomputer	0.0400667
"endowment fund"	0.040044
))
(Collier (desc 2923.01) (sims
"Good Housekeeping"	0.131127
"Atlantic Monthly"	0.115885
Broward	0.108581
Miami-Dade	0.100183
Redbook	0.0966166
Whitsitt	0.0871741
Braswell	0.0847617
McGinnis	0.080255
Sheehan	0.0785294
Marineau	0.0784793
Kehoe	0.0778015
Laudrup	0.0746915
Zuckerman	0.0745424
Esquire	0.071704
Cink	0.0708023
Bonner	0.0707259
beamer	0.070464
Sutherland	0.0703865
Silas	0.0700268
Regan	0.0696871
Mendez	0.0690775
Rossotti	0.0686368
Colbert	0.0682628
Piccard	0.0680787
Barron	0.0674378
Atwater	0.0662865
Zhangbei	0.0660693
Willard	0.065836
Geiger	0.0652869
Marinovich	0.0646426
Kaye	0.0645603
Klinsmann	0.0645228
brill	0.0644323
Najera	0.0640782
Paxon	0.0634498
Jauron	0.0633953
Troussier	0.0633807
Flaherty	0.0633704
maxim	0.0630727
Kumar	0.0630614
Gooding	0.063044
Mendocino	0.0629831
Perec	0.0626366
MacLean	0.0625575
Romar	0.0622436
Bhattarai	0.0619664
Harper	0.0618391
manatee	0.061585
Finkel	0.0613825
Jobe	0.0613445
Rothenberg	0.0612016
Sykes	0.0610131
Hirsch	0.0608911
Jacquet	0.0608398
Peretz	0.0608139
Brunner	0.0607897
Hoke	0.060741
Cayuga	0.0605732
Whitfield	0.0605728
Kukoc	0.0605376
Coffey	0.0604943
Lundy	0.0603651
Milbury	0.060319
Coelho	0.0601671
Leavenworth	0.0601335
Ftorek	0.0600292
Redd	0.0599079
Lowry	0.0598518
Sherrill	0.0597471
Quigley	0.0597468
Padilla	0.0596992
Whitacre	0.0596948
Liddy	0.0596165
Campo	0.0593482
Musa	0.0592914
Zadornov	0.0592505
Maag	0.0592148
Popovich	0.0591772
Strahan	0.0591579
Patel	0.0591047
Rodionov	0.0590011
Skiles	0.0589953
Solis	0.0588054
capella	0.0587894
Hartman	0.0587564
"vanity fair"	0.0586683
Cowens	0.058397
Brandt	0.0583942
Recker	0.0582754
Gillom	0.058269
Clooney	0.0581592
"Sporting News"	0.0581241
Ritter	0.0580184
"Tina Brown"	0.0579183
Byrne	0.0578665
Yadav	0.0578581
Hindery	0.0577988
Lowery	0.0577605
playboy	0.0576161
Mackenzie	0.0576066
Muoneke	0.0575946
Grasso	0.0575811
Horry	0.0574144
McGrady	0.057401
Walton	0.0572362
Chrissie	0.0572295
Finney	0.0572218
McDonnell	0.0571949
Kearin	0.0571819
Monahan	0.0569425
"Consumer Reports"	0.0569143
Edelstein	0.0567959
Briscoe	0.0567151
Shamshad	0.0566688
Perisho	0.0565865
Passarella	0.0565732
Barrie	0.0565258
Andreychuk	0.0565146
PITTS	0.0564242
Murrell	0.0563812
McDuffie	0.0563152
Gwinnett	0.0563071
Wolfson	0.0562467
Godfrey	0.0562026
Forsyth	0.0561263
Girard	0.0560178
Waddell	0.0557208
Hartsburg	0.0556794
GQ	0.055646
Harbaugh	0.0556277
Ainge	0.0556266
White-McCarty	0.0556056
Simmons	0.0552956
Sato	0.0552202
Diggs	0.0550504
Marin	0.054995
Salaam	0.0548913
Ellis	0.0548211
Myhrvold	0.0547214
Wiatt	0.0546078
Briggs	0.0545968
McKnight	0.0545623
Potvin	0.054455
Newhouse	0.0543172
Diouf	0.0542739
Hirschbeck	0.0542701
hodgson	0.0542565
Hendry	0.0542565
Vance	0.0542046
McIlvaine	0.0540279
Fizer	0.0539058
Monson	0.0538855
Mercer	0.053857
"Saturday Evening Post"	0.0538123
Kessler	0.0537749
Advani	0.0537516
Slocum	0.0537459
Dodik	0.0537202
Ziegler	0.0536862
Flynt	0.0536406
McKellen	0.0536384
McWilliams	0.0536321
Galvin	0.0535773
McCray	0.0535578
Ruehe	0.0535534
Gould	0.0535451
Lindland	0.0535444
Croshere	0.0535283
Hauser	0.0535166
Gilliam	0.0534812
Zambrano	0.0534061
Ebersol	0.0533486
Fulton	0.0533194
Farris	0.0532978
Dunleavy	0.0532859
Chadwick	0.0532564
Adler	0.0532394
Passaic	0.0532222
Ponciano	0.0532076
Levinson	0.0531675
Devers	0.0531616
Hoddle	0.0531262
Kane	0.0531188
Glover	0.0531119
Bizimungu	0.0530859
Cassell	0.0530755
Dennehy	0.052992
Gaines	0.0528787
Laperriere	0.0528602
Mathis	0.0528531
Matthaeus	0.0528064
McQueen	0.052792
Cobb	0.0527861
Cirillo	0.0527797
granger	0.0527176
"Earnhardt Jr."	0.0526704
singleton	0.0526278
Stoneman	0.0525997
"San Luis Obispo"	0.0525638
Sampson	0.0524338
))
(Collin (desc 2052.02) (sims
McConaughey	0.0598608
Harr	0.055546
Colin	0.0545395
Gabbi	0.0537539
Perrot	0.0506466
Holzman	0.0491337
Paxon	0.0491329
Jessie	0.0489007
Hannah	0.048475
Brad	0.0482571
Lawson	0.0482274
Terps	0.0479384
Remnick	0.0476422
hodgson	0.0475169
Yoakam	0.0473888
axelsson	0.0472227
Corey	0.047138
McDuffie	0.0470355
Judith	0.046933
Fino	0.0465077
Blume	0.046331
Esposito	0.0462239
Almodovar	0.0458844
Ding	0.0457779
Hightower	0.045491
Chmura	0.0451425
"Salim Malik"	0.0449459
Vinny	0.0447735
Arizmendi	0.0446733
nance	0.0445184
ANGELOS	0.0443824
"Scott Gomez"	0.0443327
Langer	0.0442831
Sezer	0.044223
Mohr	0.0441208
Deane	0.0439046
RFK	0.0434741
Darrell	0.0432946
Wally	0.0425696
Sheedy	0.0423651
Bridget	0.0419683
Kermit	0.0418919
Cornwell	0.0417421
Judah	0.041703
Thirty-six	0.0414867
Hallam	0.041369
Marulanda	0.0413521
Iditarod	0.0409422
Nakata	0.0406042
Haley	0.0404616
Ileto	0.0404116
))
(collins (desc 26073.9) (sims
Davis	0.103927
smith	0.101452
Williams	0.101406
Thompson	0.0992663
Chafee	0.0988534
Jenkins	0.0966472
Evans	0.0950275
Johnson	0.0948314
Jones	0.0943675
Lewis	0.0929595
Phillips	0.0926213
Foley	0.0919145
Anderson	0.0911307
Cunningham	0.0909856
Edwards	0.090432
Sanders	0.0903772
Thomas	0.0864081
Jackson	0.0863621
Myers	0.0861018
Rogers	0.0860184
Palmer	0.0858384
Stewart	0.0848777
Ross	0.0848308
Warner	0.0846771
Owens	0.0845338
Taylor	0.0845123
Reeves	0.08388
Graham	0.0829366
Burns	0.0823435
Miller	0.0822405
Harris	0.0822399
martin	0.0821503
Ellis	0.0817143
Richardson	0.0813708
Garcia	0.0812828
Bennett	0.0811396
Testaverde	0.0807788
Stevens	0.079986
Adams	0.079781
Peterson	0.079539
Aikman	0.0784785
Murray	0.078388
Lucas	0.0780216
Ferguson	0.0778138
Campbell	0.0775013
Chandler	0.0773055
Payton	0.076599
Brooks	0.076258
Nelson	0.0762432
Torre	0.075973
Scioscia	0.075942
Kanell	0.0754723
Wilson	0.0754657
Gonzalez	0.0752022
Flutie	0.0749493
Rodriguez	0.0747105
O'Donnell	0.0745601
Carter	0.0744756
Carroll	0.0744208
Glenn	0.0743717
Hamilton	0.0740685
Riley	0.073932
Kennedy	0.0735247
Lott	0.0735166
Elway	0.0733269
Hayes	0.0732296
Scott	0.0730541
Kelly	0.073046
Morris	0.0730231
Allen	0.0729181
Snowe	0.0727542
Underwood	0.072601
Bledsoe	0.0724988
Holmes	0.0720613
Blake	0.0719592
Mitchell	0.0719498
Lieberman	0.0719156
Robinson	0.0718656
James	0.0718329
Payne	0.0717315
Morrison	0.0715961
murphy	0.0711467
Sanchez	0.0708486
Roberts	0.0705321
McCown	0.0703618
Cohen	0.0703585
Watkins	0.0703036
Barnes	0.070123
Hoffman	0.0696626
Robertson	0.0696092
Baker	0.0695762
Brown	0.0695705
Greene	0.0692259
Wright	0.0691552
Watts	0.0690309
Manning	0.0690249
Hyde	0.0690125
Quinn	0.0689574
Fassel	0.0689344
Reyes	0.0685983
Burke	0.0683584
Torres	0.0681777
Armstrong	0.0678968
Plummer	0.0678186
Levin	0.0677882
Moore	0.0675366
Phelps	0.0674363
Mack	0.0673385
Parker	0.0673276
Foster	0.0673242
Flores	0.0672743
walker	0.0671585
Bradley	0.0671123
Cheney	0.0669243
Martinez	0.0668879
Brady	0.0666949
duncan	0.0666369
Reynolds	0.0664843
Helms	0.0664504
Haskins	0.0664027
Cox	0.0663414
Ewing	0.0660965
Hughes	0.0659677
Giuliani	0.0659458
Simmons	0.0659379
Marino	0.0658862
fisher	0.0658819
Hawkins	0.0658775
Oates	0.065835
Craig	0.0657565
Lee	0.065732
Brister	0.0657026
McConnell	0.065664
Ashcroft	0.0655887
Parcells	0.0655402
Coleman	0.0655247
Barkley	0.0654625
Finley	0.0653222
Jarvis	0.065299
Gramm	0.0652261
Watson	0.0652186
Gailey	0.0651715
Snyder	0.0651408
Daniels	0.0647371
Forbes	0.0646314
Hess	0.0644896
Roth	0.0643862
McNown	0.0642876
Gomez	0.0642272
Perez	0.0641014
Dixon	0.0640757
Michaels	0.063986
Goldberg	0.0638583
Cooper	0.0638011
Ramos	0.0637093
Jeffords	0.0637092
Nolan	0.0636405
she	0.0635811
Irwin	0.0633448
Tyson	0.0632488
Clark	0.0632474
Clemens	0.0631697
Alexander	0.0631257
"Drew Bledsoe"	0.0631023
Kolbe	0.062945
Bowen	0.0628668
McCain	0.0628655
Bates	0.0627734
Blair	0.0627607
Larson	0.0627136
Nash	0.0626338
knight	0.0625797
Shaw	0.0625653
Bryant	0.0625308
Applewhite	0.0624773
Mills	0.0622677
Dingell	0.0622187
Kitna	0.0621934
Berman	0.0621585
"Kerry Collins"	0.0621144
fowler	0.0617992
Pippen	0.0617562
Osborne	0.0616907
Sims	0.0616896
Garrett	0.0616406
Cole	0.061575
Olson	0.0615576
Griese	0.0615007
McNair	0.0613874
Bush	0.0613633
McMillan	0.0612038
Crawford	0.0611203
Meyers	0.0610123
Barrett	0.0609497
Saunders	0.0608748
Lockhart	0.0608311
Francis	0.0608263
Jennings	0.060741
Davies	0.0607169
Huard	0.0606057
))
(Collision (desc 55792.3) (sims
crash	0.209991
accident	0.187655
explosion	0.153487
wreck	0.135239
blast	0.128421
mishap	0.125413
derailment	0.123521
pileup	0.121781
earthquake	0.120361
spill	0.119201
clash	0.112749
Quake	0.112093
incident	0.111914
disaster	0.109195
tornado	0.105595
eruption	0.0997629
"bomb blast"	0.0992957
catastrophe	0.0958011
collapse	0.0949907
flood	0.0946072
confrontation	0.0933758
bombing	0.0932488
fire	0.0916997
tragedy	0.0904481
landslide	0.0895886
riot	0.0880616
"fatal accident"	0.0878835
attack	0.0875154
breakdown	0.0870331
malfunction	0.086365
"flash flood"	0.0862978
blaze	0.0861485
leak	0.0854098
storm	0.0849289
shutdown	0.0825172
shooting	0.0821748
outbreak	0.0817607
raid	0.0814491
sinking	0.0803612
encounter	0.0789159
"power failure"	0.0780958
turbulence	0.0778609
altercation	0.0766858
mudslide	0.0765312
disruption	0.0762497
disturbance	0.0757744
massacre	0.0756756
brawl	0.0756656
injury	0.075585
killing	0.0745919
hijacking	0.0745821
breakup	0.0740746
recession	0.0739757
loss	0.0738312
"heart attack"	0.0732679
seizure	0.0727835
meltdown	0.0722977
Death	0.0722882
ambush	0.0722393
fatality	0.0722285
calamity	0.0721362
shortage	0.0704695
temblor	0.0704402
shootout	0.0703248
rioting	0.0703095
failure	0.0701894
tremor	0.0699563
beating	0.069948
glitch	0.0699089
scuffle	0.0698097
epidemic	0.0697606
unrest	0.0696021
violence	0.0689393
assassination	0.0688936
famine	0.068388
downturn	0.0681457
"traffic jam"	0.068144
chaos	0.0680926
showdown	0.0680711
slowdown	0.0677882
avalanche	0.0677413
delay	0.06774
outage	0.0676483
carnage	0.0675106
landing	0.0672117
melee	0.0671966
"forest fire"	0.0670778
skirmish	0.0670093
shelling	0.0665582
strike	0.0665191
devaluation	0.0663107
conflict	0.0662994
debacle	0.0658153
bloodshed	0.065776
assault	0.0656811
arrest	0.0652129
robbery	0.0651681
erosion	0.0650367
downpour	0.0648373
blackout	0.0647264
slaying	0.064599
plunge	0.0645628
poisoning	0.0637302
"heat wave"	0.0637212
rampage	0.0636911
firing	0.063573
problem	0.0626654
theft	0.062653
rain	0.0626453
drought	0.0625948
upheaval	0.062281
error	0.0622092
sell-off	0.0621781
illness	0.0621358
deterioration	0.0620485
impact	0.0620223
congestion	0.0619649
cyclone	0.0617672
pollution	0.0617635
selloff	0.0616422
escalation	0.0614184
bomb	0.061287
tsunami	0.0610972
contamination	0.061053
battle	0.0610132
trouble	0.0606801
crises	0.0604959
crisis	0.0604848
break-in	0.0604698
detonation	0.060374
destruction	0.0601125
abduction	0.0601056
fighting	0.0600705
turmoil	0.0600258
casualty	0.0598053
stampede	0.0596628
leakage	0.0596605
slide	0.0594715
wave	0.0592259
rupture	0.0590924
spate	0.05905
suicide	0.059006
layoff	0.0589868
damage	0.0588934
conflagration	0.058831
war	0.0587569
outages	0.0586277
"drive-by shooting"	0.058625
confusion	0.0583974
"car bomb"	0.0583744
"chain reaction"	0.0582744
overdose	0.0581579
surge	0.0581481
slump	0.0579239
invasion	0.0575114
misunderstanding	0.0571663
stroke	0.0571521
"air raid"	0.0568403
"price increase"	0.0567405
hurricane	0.0567095
"economic crisis"	0.0566754
defeat	0.056527
bout	0.0563073
traffic	0.0560334
instability	0.0558739
contact	0.0557962
cancellation	0.0557528
rainstorm	0.0557058
mistake	0.0554652
gunfire	0.0553478
gridlock	0.0552985
wildfire	0.0552896
interaction	0.0552825
occurrence	0.0552194
setback	0.0551931
defect	0.0550494
snowstorm	0.0550459
"food poisoning"	0.0550004
coup	0.0547393
disappearance	0.0547261
"rate hike"	0.0545105
weather	0.0544728
barrage	0.0544459
divorce	0.0543089
incursion	0.0543065
Typhoon	0.0541426
phenomenon	0.0541097
"blood clot"	0.0540986
complication	0.0540846
miscarriage	0.0539201
concussion	0.0538786
defection	0.05379
kidnapping	0.0537702
disintegration	0.0536248
shoot-out	0.0535949
scare	0.0534853
"tidal wave"	0.0534721
duel	0.0533484
friction	0.053334
"work stoppage"	0.0533189
))
(colloquy (desc 923.397) (sims
"guessing game"	0.10694
tete-a-tete	0.106137
joust	0.102486
fistfight	0.0898391
back-and-forth	0.0868144
brinksmanship	0.0848791
gunbattle	0.0832537
firefights	0.0829369
gunfight	0.0796019
chitchat	0.0778821
"Free Trade Agreement"	0.0778389
harangue	0.0759212
screed	0.0752259
"sexual intercourse"	0.0751047
give-and-take	0.0745789
"line of questioning"	0.0740884
haiku	0.0720569
"wrestling match"	0.0716071
"pitched battle"	0.0712597
fisticuffs	0.0704988
contretemps	0.0698487
altercation	0.0697802
"blind spot"	0.0675723
"sexual activity"	0.0670604
"history lesson"	0.0648985
snit	0.0647059
epilogue	0.0641318
gunbattles	0.0631552
shootouts	0.0630188
spat	0.0623305
"small talk"	0.0621539
misperception	0.0618656
parley	0.0615185
"personal relation"	0.060153
horse-trading	0.0599298
finger-pointing	0.0597248
self-criticism	0.0595411
repartee	0.0594742
slugfest	0.059214
"Great Divide"	0.0585446
monogamy	0.0582808
"form letter"	0.058257
breather	0.0581465
dogfight	0.0575122
synopses	0.0574357
soul-searching	0.0572858
assignation	0.0567481
kinship	0.0566836
consulations	0.0566487
wrangling	0.0563619
one-upmanship	0.0561958
"general agreement"	0.0561076
"proxy fight"	0.0560178
gamesmanship	0.055781
apprenticeship	0.0557545
mixup	0.0557199
horseplay	0.0556411
ruckus	0.0554976
"written material"	0.0554205
"parlor game"	0.0551871
shoot-out	0.0551848
coupling	0.0551682
"private corporation"	0.0550233
dalliance	0.0549225
"sex act"	0.054144
falling-out	0.0540719
spiel	0.0538663
haggling	0.0537163
"hue and cry"	0.0537
"oral sex"	0.053528
entanglement	0.0535089
crossfire	0.0530746
tangent	0.0528559
"class warfare"	0.0525602
soliloquy	0.0524639
"saber rattling"	0.052398
"co- operation"	0.0523457
"family unit"	0.0521677
in-fighting	0.0516991
miscommunication	0.0516616
"pas de deux"	0.0516351
Abdel-Meguid	0.0515716
"double talk"	0.051552
tiff	0.0514327
"sea lane"	0.0513698
wordsmith	0.0513568
"social contract"	0.0513424
firefight	0.0513406
oration	0.0507585
cross-fertilization	0.050649
"white line"	0.0506436
tryst	0.0505242
monograph	0.0504781
bedfellow	0.0504239
dustup	0.0503736
Severino	0.0503653
digression	0.050116
"hunting season"	0.0499189
brinkmanship	0.0495975
Pustovoitenko	0.0494797
sojourn	0.0490461
melee	0.0488607
"Cy Young Awards"	0.0487676
theocracy	0.0485903
match-ups	0.0483781
"waiting game"	0.048309
"commercial activity"	0.0482617
travelogue	0.0478347
bullishness	0.0478321
"written agreement"	0.0478305
coda	0.0477585
spacewalk	0.0477061
coverup	0.0475479
brushwork	0.0475104
interlude	0.0474281
"character assassination"	0.0473092
frolic	0.0472915
tome	0.0472466
smooch	0.0472081
face-off	0.0471748
"price war"	0.047023
FTA	0.0468012
intro	0.04654
"written language"	0.0465107
"difference of opinion"	0.0462834
potty	0.0462779
colonnade	0.0461504
cross-pollination	0.0461451
psychodrama	0.0458663
formalism	0.0458032
mano	0.0456808
intercourse	0.0455057
disclaimer	0.045321
"entitlement program"	0.0451353
spacewalks	0.0450958
"chemical reaction"	0.0450778
blowup	0.0450698
"merger talk"	0.0449202
tossup	0.0448748
pleasantry	0.0448649
debriefing	0.0446721
"public speaker"	0.0446693
sabbatical	0.0446567
locution	0.0445164
sparring	0.0444802
"subversive activity"	0.044313
"leave of absence"	0.0442653
postmortem	0.044137
recuperation	0.0441182
memoranda	0.0439524
treatise	0.0438747
disquiet	0.0438203
"line of products"	0.0438087
interoperability	0.0438044
idyll	0.0437528
gabfest	0.0437114
dodging	0.0436749
"fire wall"	0.0434777
explication	0.0434187
dissension	0.0433688
lovefest	0.0431781
despondency	0.043176
downtime	0.0431513
clowning	0.0431341
realignments	0.0430639
emphases	0.0429495
"Little Dog"	0.0429416
emotionalism	0.0428959
walk-through	0.0428652
factoids	0.0428582
"detective work"	0.0427648
McCarthyism	0.0426634
cartwheel	0.0426345
anticlimax	0.0423266
"tit for tat"	0.0423064
"talk of the town"	0.0423041
"health check"	0.0422641
"place mat"	0.0421119
"shelf life"	0.0419606
insincerity	0.0417609
hand-wringing	0.0416887
"field day"	0.0416403
"rest day"	0.0415542
"blood feud"	0.041538
"data link"	0.0415341
variance	0.0415132
"wishful thinking"	0.0414754
subgenre	0.0414511
pantomime	0.0413688
Moneyline	0.0412972
dictation	0.0412442
cohabitation	0.0412239
recounting	0.0411226
grappling	0.0410827
"business relation"	0.0410352
dichotomy	0.0410272
Minuet	0.0410016
schism	0.0409443
missive	0.0408175
scepticism	0.040794
))
(collusion (desc 13423.5) (sims
"insider trading"	0.144587
nepotism	0.138738
vote-buying	0.133171
bribery	0.128232
influence-peddling	0.123187
price-fixing	0.120117
impropriety	0.120061
cronyism	0.118651
complicity	0.116089
favoritism	0.115938
"election fraud"	0.11461
malpractice	0.114044
"foul play"	0.112211
embezzlement	0.106185
mismanagement	0.106004
tampering	0.104365
wrongdoing	0.103654
cover-up	0.103596
conspiracy	0.100332
coercion	0.0998614
negligence	0.0994099
fraud	0.0984816
misconduct	0.0981428
irregularity	0.0977242
plagiarism	0.0939639
corruption	0.0934208
manipulation	0.0929914
graft	0.0923828
abuse	0.0920629
coverup	0.0917921
"securities fraud"	0.0905603
"tax evasion"	0.0902911
"money laundering"	0.0898475
"quid pro quo"	0.0891991
extortion	0.0886185
harassment	0.0885003
dumping	0.0882092
"sexual harassment"	0.0870815
molestation	0.0860718
misuse	0.0857314
deception	0.0853495
incompetence	0.0851456
espionage	0.0844917
dealings	0.0844514
collaboration	0.084213
rigging	0.0841716
misappropriation	0.0837128
malfeasance	0.0835447
discrimination	0.0826847
infringement	0.0825608
criminality	0.081442
inefficiency	0.0813431
perjury	0.0808228
illegality	0.0806392
theft	0.0804337
bribe-taking	0.080085
forgery	0.0797646
violation	0.0790266
intimidation	0.0789373
disloyalty	0.0788101
"child abuse"	0.0781677
fixing	0.0780559
involvement	0.0773072
brutality	0.0766425
kickback	0.076141
defamation	0.0748372
sabotage	0.0743389
obstruction	0.0737794
maltreatment	0.0731023
racism	0.0727936
mistreatment	0.0725477
"war crime"	0.0724656
misbehavior	0.0719825
gunrunning	0.0718772
sodomy	0.0706753
blackmail	0.0705906
dishonesty	0.0704786
"mail fraud"	0.0699279
misdeed	0.0683629
smuggling	0.0678477
breach	0.0675949
torture	0.0673842
dereliction	0.067124
"sexual activity"	0.0670872
racketeering	0.0670569
spying	0.0669085
interference	0.0668653
piracy	0.0665366
"sexual assault"	0.0661768
"double standard"	0.0654169
adultery	0.0649935
miscommunication	0.0647694
leak	0.0638808
"breach of contract"	0.0630902
"drug use"	0.0630564
kidnapping	0.063022
bias	0.0627668
chicanery	0.0623982
tribalism	0.0623754
hypocrisy	0.06218
deceit	0.0621486
"price war"	0.0618569
libel	0.061701
misrule	0.0614455
persecution	0.0612599
insensitivity	0.0611793
unfairness	0.0610382
atrocity	0.0608963
blasphemy	0.0608087
"sex act"	0.0607115
censorship	0.0606361
looting	0.0603161
misrepresentation	0.0599171
genocide	0.0598593
slander	0.0596037
"breach of trust"	0.0596032
hooliganism	0.0594088
treason	0.0584085
trafficking	0.0580824
infidelity	0.0577911
neglect	0.0577426
falsification	0.0565558
subversion	0.0565269
betrayal	0.056467
rift	0.0564178
misunderstanding	0.0563691
arson	0.055646
infiltration	0.0554875
prostitution	0.0551242
"merger talk"	0.0550494
vandalism	0.0549407
bribe	0.0548423
gunbattle	0.0546095
"drug abuse"	0.0545619
rape	0.0542215
"drug trafficking"	0.0538854
retaliation	0.0538094
"grand larceny"	0.053691
linkage	0.0532306
stonewalling	0.0530989
consolidation	0.0527156
larceny	0.052696
terrorism	0.0526895
mutilation	0.0521235
cruelty	0.0520495
exploitation	0.0519424
abduction	0.0516053
pricing	0.0515899
foul-up	0.0515379
poisoning	0.0512276
injustice	0.0512061
protectionism	0.0509356
liaison	0.0507992
Cahoots	0.0504583
confrontation	0.0503863
recklessness	0.0503594
"hostile takeover"	0.0503093
sleaze	0.0503066
firefights	0.0502016
inequity	0.0499928
duplication	0.0498812
patronage	0.0498736
interaction	0.0496605
mutiny	0.0496602
hijacking	0.0494638
"organized crime"	0.0493902
intrusion	0.0493113
repression	0.0491993
bargaining	0.0490956
inequality	0.049063
sexism	0.0490052
anti-Semitism	0.0489207
contamination	0.0489026
incest	0.0487654
greed	0.0484757
leakage	0.0483861
"hanky panky"	0.0482588
"difference of opinion"	0.0479481
foot-dragging	0.0477994
synergy	0.04769
"slush fund"	0.0476097
sedition	0.047588
distortion	0.047547
incitement	0.0474939
scam	0.0473701
skirmish	0.0473532
"arms deal"	0.0471818
evasion	0.0470875
laxity	0.0470836
"chemical reaction"	0.0469438
coordination	0.0468319
provocation	0.0467937
vendetta	0.0467382
haggling	0.0466372
stalking	0.0466023
"armed robbery"	0.0463775
Indiscipline	0.0462236
schism	0.0458133
tactic	0.0458075
banditry	0.045785
))
(Collymore (desc 714.504) (sims
"Di Canio"	0.15983
Weah	0.132123
Gullit	0.117784
Carollo	0.106761
Baumhammers	0.105293
Bernabe	0.104914
Turgeon	0.10395
Anelka	0.102797
Asprilla	0.101427
Reichel	0.101201
Counsell	0.0992604
Kluivert	0.0931621
Duchesne	0.0908627
Chappell	0.0906747
Brazill	0.0891985
Rodionov	0.0891386
"Alex Ferguson"	0.0872006
Wenger	0.086578
McIver	0.0862788
Daigle	0.0861677
Gascoigne	0.0861675
Primeau	0.0858946
Dele	0.0852858
Hendrickson	0.0852377
Laudrup	0.0844847
Warshaw	0.0843814
Tverdovsky	0.0839451
Smolinski	0.0825385
Craxi	0.0817197
Cirillo	0.0814124
Abdur-Rahim	0.0810763
Stossel	0.0802303
Schourek	0.0802194
Arnett	0.0801835
Brazile	0.0801222
Holzman	0.0789719
Marinovich	0.0787973
Lafleur	0.0786048
Goodrich	0.078193
Manley	0.0777004
"Paolo Di Canio"	0.0774369
Hurtado	0.0774095
Yashin	0.0773594
Jayasinghe	0.0769306
"Del Piero"	0.0760547
Ruehe	0.0760045
Yastrzhembsky	0.0759819
"Chief Executive Tung Chee-hwa"	0.0755922
Stacy	0.0752327
"Glenn Hoddle"	0.0749209
Jeffers	0.0747775
Munson	0.0745173
Lileikis	0.0744087
Pippig	0.0742179
Groscost	0.0741198
Bautista	0.0738411
USEC	0.0738299
Murrell	0.0735004
Lawson	0.073316
Popovich	0.0731456
Godfrey	0.0730846
Kazhegeldin	0.0729629
Yoakam	0.0728021
Vieri	0.0725513
Cienfuegos	0.0723362
Dellucci	0.0721236
Liggett	0.0720818
Ibarra	0.0720782
Drury	0.0720548
Andreychuk	0.0720059
Durwood	0.0718812
Cavallo	0.07133
Parks	0.0713251
Recchi	0.0711129
Audette	0.0704637
Barrasso	0.0701526
Huskers	0.0701508
Ouattara	0.0697389
Radojevic	0.0696436
Ota	0.0696431
Swann	0.0696425
Lett	0.0695322
Costner	0.0694317
Meares	0.0692097
Woodson	0.0688289
Enis	0.0687521
"Robert Jarni"	0.0684229
Naumann	0.0682086
Metcalf	0.0681767
Kamensky	0.0681738
MPAA	0.06809
MacLean	0.0680527
Ince	0.0679223
kraut	0.0678992
Merkel	0.0673192
O'Neil	0.0672879
"English Football Association"	0.0672793
Lobo	0.0669038
Bruton	0.0668546
Maradona	0.066776
Deane	0.0665602
Rifkind	0.0663938
Falater	0.0663081
Ruthardt	0.0661839
Salas	0.0661145
Taufik	0.0652201
Beckwith	0.0652154
Zadornov	0.065158
Titov	0.0650907
CAA	0.0649733
Warne	0.0648814
Beltran	0.0648416
Nowitzki	0.064833
Olowokandi	0.0647335
Checketts	0.0645684
Noonan	0.0644312
Garber	0.064284
Forsyth	0.064177
"Paul Gascoigne"	0.0639649
Sehorn	0.0637738
Grachev	0.0637628
Chevenement	0.063734
Bakaly	0.0636618
"Australian Cricket Board"	0.063641
Vialli	0.0636198
Wadsworth	0.0634578
Mokhehle	0.0634393
Gilmour	0.0632501
Baez	0.0631163
Keane	0.0631157
Meston	0.0628928
Postel	0.0628693
Hoddle	0.0628422
Werner	0.0628259
Hagi	0.062733
Keegan	0.0625599
Maslyukov	0.0625014
leeson	0.0624924
Kerasiotes	0.0623046
Gugliotta	0.0622815
Gadzuric	0.0621332
Junger	0.0621255
Harrington	0.0619422
Reimer	0.061693
Jayakumar	0.0616735
Perec	0.0612441
IDT	0.0612288
NCEC	0.0612072
Ganassi	0.061161
"Hristo Stoichkov"	0.0610585
Lassiter	0.0609447
Talebi	0.06083
Rothenberg	0.0607979
Schell	0.0607487
Yzerman	0.0606912
Goossen	0.0606762
BSF	0.0606469
Stumpel	0.0606174
Zamorano	0.0604568
Casserly	0.0603445
Kasparov	0.0601828
"Kevin Keegan"	0.0601646
Laettner	0.0600859
Berard	0.060062
furrow	0.0600021
Batouty	0.0599467
Chmura	0.0598948
Shatner	0.0598127
Jovanovic	0.059758
Bergeron	0.0597243
UAM	0.0596663
Eggers	0.0596585
"Mark Recchi"	0.0595742
Szabo	0.0595432
Bryson	0.0594684
Bedell	0.0593554
Zarkin	0.059341
Batistuta	0.0593307
Machel	0.0592388
"Dennis Erickson"	0.0591544
Glaser	0.0591408
Robson	0.0590731
Chilavert	0.0589493
"De Klerk"	0.0589264
"British Telecom"	0.058732
Hauser	0.0587182
Cronje	0.0585823
"U.S. Treasury Department"	0.0585217
Polgar	0.0585113
Sununu	0.0584666
Sarsour	0.0584188
Marchand	0.0583794
"Mitsubishi Motors"	0.0582699
Tomlinson	0.0582631
Kealy	0.0581499
Harkes	0.0580889
Krayzelburg	0.0580629
Hollandsworth	0.0580086
Nailon	0.057967
Hightower	0.0578892
))
("Colo Colo" (desc 1955.06) (sims
Olimpia	0.223635
Cruzeiro	0.208879
Palmeiras	0.195502
Necaxa	0.184114
"Velez Sarsfield"	0.178717
"River Plate"	0.169236
Besiktas	0.168851
"Boca Juniors"	0.162896
"Marcelo Rios"	0.160096
"Jubilo Iwata"	0.159918
"Asa Carlsson"	0.158902
Independiente	0.157809
"Albert Portas"	0.153369
"Fernando Meligeni"	0.151278
Brondby	0.15087
Flamengo	0.149664
"Renzo Furlan"	0.149321
"Hernan Gumy"	0.147767
Gremio	0.147311
Nacional	0.144842
"Schalke @@"	0.143254
"Arnaud Di Pasquale"	0.143244
"Marcelo Filippini"	0.143015
"Adrian Voinea"	0.141908
"Olympique Marseille"	0.14141
"VfL Wolfsburg"	0.141307
Anderlecht	0.138013
"Neville Godwin"	0.137349
"Partizan Belgrade"	0.13668
"Sturm Graz"	0.136453
"Guangdong Hongyuan"	0.135394
"Xavier Malisse"	0.134979
"Red Star"	0.13484
Benfica	0.134665
"Magdalena Maleeva"	0.134355
Schalke	0.132978
"Naoko Sawamatsu"	0.132591
"Magui Serna"	0.132294
"AEK Athens"	0.131902
"Arnaud Clement"	0.131728
Panathinaikos	0.131658
Galatasaray	0.131564
Udinese	0.131225
Heerenveen	0.130621
"Richard Fromberg"	0.130531
"Tatiana Panova"	0.130378
"Nicolas Escude"	0.130318
"Karim Alami"	0.130091
"Galo Blanco"	0.129595
Fenerbahce	0.129278
"Christian Ruud"	0.129261
"Younes El Aynaoui"	0.129078
"Arnaud Boetsch"	0.129064
"Jerome Golmard"	0.128764
"Alberto Berasategui"	0.128685
"Sargis Sargsian"	0.128543
"Franco Squillari"	0.127415
"Andrei Pavel"	0.126943
"Nicole Pratt"	0.126867
"Elena Likhovtseva"	0.126847
"Sarah Pitkowski"	0.126788
"Sebastien Grosjean"	0.126501
"Celta Vigo"	0.126053
"Qingdao Hainiu"	0.125528
"Kristie Boogert"	0.124495
"Carlos Costa"	0.124401
"Barbara Rittner"	0.124234
"Gianluca Pozzi"	0.12326
"Tara Snyder"	0.122997
"Borussia Dortmund"	0.122816
"Judith Wiesner"	0.122792
Bastia	0.122346
"Ruxandra Dragomir"	0.121859
"Deportivo Coruna"	0.121324
Penarol	0.120819
"Nathalie Dechy"	0.120527
"Andreas Vinciguerra"	0.120204
"Elena Dementieva"	0.120119
"Albert Costa"	0.119906
"Werder Bremen"	0.119371
"FC Porto"	0.119244
"Joannette Kruger"	0.119073
"Sergi Bruguera"	0.119048
"Anne Kremer"	0.11894
"Andrea Gaudenzi"	0.118763
Kroslak	0.118591
"Anne-Gaelle Sidot"	0.118505
"Davide Sanguinetti"	0.118219
"Mariano Zabaleta"	0.118006
Raoux	0.117516
"Francisco Clavet"	0.117425
"Kinder Bologna"	0.117247
"Scott Draper"	0.116755
"Sandrine Testud"	0.116718
"Paola Suarez"	0.116671
"Bayer Leverkusen"	0.115899
"Guillaume Raoux"	0.11588
"Slavia Prague"	0.115878
"Newcastle United"	0.115228
"Silvia Farina"	0.114972
"Glasgow Rangers"	0.114972
Gama	0.114723
"Florencia Labat"	0.114449
"Leicester City"	0.114317
"Barbara Schett"	0.114267
"Javier Sanchez"	0.113855
"Natasha Zvereva"	0.11356
"Miriam Oremans"	0.113494
"Els Callens"	0.113454
"VfB Stuttgart"	0.113413
"Daniel Nestor"	0.113239
Toluca	0.113214
"Kenneth Carlsen"	0.113181
Estudiantes	0.113172
"Sebastien Lareau"	0.113148
Olympiakos	0.112777
"Amy Frazier"	0.112332
Testud	0.112211
"Mariano Puerta"	0.111985
"Jinan Taishan"	0.11161
"Alberto Costa"	0.111544
"Catalina Cristea"	0.111048
"Kimiko Date"	0.110853
"Marcos Ondruska"	0.110753
"Andrew Ilie"	0.110397
Porto	0.110304
"Gustavo Kuerten"	0.11017
"Fabrice Santoro"	0.109772
"Dalian Wanda"	0.10974
Shenhua	0.109539
"Wayne Black"	0.109294
"Michael Stich"	0.109272
"Justin Gimelstob"	0.109197
"Amelie Mauresmo"	0.109132
"Kim Clijsters"	0.109081
"Ajax Amsterdam"	0.109007
"Rainer Schuttler"	0.108229
"Chanda Rubin"	0.108117
"Marc Rosset"	0.108094
Auxerre	0.108089
Espanyol	0.107941
"Patty Schnyder"	0.107801
"Filip Dewulf"	0.107666
"Coventry City"	0.10743
Sampdoria	0.107407
"Yayuk Basuki"	0.106815
"Borussia Moenchengladbach"	0.106703
"Real Betis"	0.106674
"Anke Huber"	0.10654
Valparaiso	0.106517
"Rita Grande"	0.106406
"Dominique Van Roost"	0.106159
"Athletic Bilbao"	0.105896
"Andrei Medvedev"	0.105774
"Ramon Delgado"	0.105661
"Li Fang"	0.105504
"Sichuan Quanxing"	0.105466
"Sjeng Schalken"	0.105387
"Magnus Gustafsson"	0.105374
"Tommy Haas"	0.10521
"Stefan Edberg"	0.10521
Metz	0.105199
"Atletico Madrid"	0.105054
"Shanghai Shenhua"	0.105041
"Derby County"	0.105037
"Guy Forget"	0.104988
"Roger Federer"	0.104872
"Jennifer Capriati"	0.104831
Freiburg	0.104783
"San Lorenzo"	0.104757
"Adriana Gersi"	0.104189
"Wayne Ferreira"	0.103743
Jansher	0.103559
"Marat Safin"	0.103555
"Cara Black"	0.103521
"Jeff Tarango"	0.103517
"Nottingham Forest"	0.103435
"Sabine Appelmans"	0.102887
"Leander Paes"	0.10233
"Barbara Paulus"	0.10198
Feyenoord	0.101687
"Felix Mantilla"	0.10157
Siemerink	0.101422
"Guangzhou Apollo"	0.101353
Obilic	0.101152
"Bradford City"	0.100798
"Max Mirnyi"	0.100403
"Wang Shi-Ting"	0.100356
"Gong Zhichao"	0.100344
"Hicham Arazi"	0.100059
"Julie Halard-Decugis"	0.0997045
"Olga Barabanschikova"	0.0995403
Hongyuan	0.0994588
"Olympiakos Piraeus"	0.0991962
"Henrieta Nagyova"	0.0991481
"Nicolas Lapentti"	0.0988291
"Mikael Tillstrom"	0.0984828
"Vincent Spadea"	0.0984801
"Brett Steven"	0.0984497
"Michael Tebbutt"	0.0982491
))
(Colo. (desc 5539.13) (sims
Minn.	0.089049
Ala.	0.087638
Ky.	0.0854612
Mo.	0.0774838
Ore.	0.0752124
S.C.	0.0731821
LA.	0.069146
Wis.	0.0689118
Calif.	0.0683523
Md.	0.0673671
Mich.	0.0649488
ill.	0.0646078
Vt.	0.0641418
Tenn.	0.0620098
Ind.	0.0612186
Fla.	0.0611295
N.J.	0.0597769
Wash.	0.0550066
Conn.	0.0549449
Ariz.	0.0526835
PA.	0.0511319
mass.	0.050441
Miss.	0.0468642
Va.	0.0442658
N.M.	0.0435468
Ga.	0.041906
N.C.	0.0406758
Kan.	0.0400702
))
(Cologne (desc 15964.8) (sims
Munich	0.182187
Dusseldorf	0.171384
Duesseldorf	0.166877
Stuttgart	0.161059
Helsinki	0.147451
LISBON	0.139449
Berlin	0.137124
Zurich	0.134552
Hamburg	0.134488
Nuremberg	0.133149
Vienna	0.132047
Frankfurt	0.13171
Madrid	0.131299
Cardiff	0.130449
Salzburg	0.129598
Amsterdam	0.127319
BRUSSELS	0.126317
Bremen	0.123305
Karlsruhe	0.121958
Geneva	0.121835
Florence	0.120175
Bonn	0.119284
Lausanne	0.112771
Strasbourg	0.111006
Leipzig	0.110263
Copenhagen	0.108409
Cartagena	0.108404
Milan	0.108075
Hanover	0.107333
STOCKHOLM	0.105461
Durban	0.105354
Rotterdam	0.104349
Lyon	0.103621
Istanbul	0.103546
Paris	0.102418
Rome	0.101526
Luxembourg	0.10152
Heidelberg	0.100815
"Werder Bremen"	0.100699
Windhoek	0.100509
"Victoria Falls"	0.0988263
Kyoto	0.0981539
Dublin	0.0970314
Kaiserslautern	0.0967708
Barcelona	0.0961617
Edinburgh	0.095232
Gaborone	0.095004
Antwerp	0.094002
Halle	0.0929598
Algiers	0.0922139
Turin	0.0921763
BUCHAREST	0.0915314
Prague	0.0912395
Essen	0.0907072
Dresden	0.0904985
Lome	0.0904036
Lucerne	0.0902502
KIEV	0.0901827
HARARE	0.0897804
Moscow	0.088404
BASEL	0.0882834
Toulouse	0.0879664
Muscat	0.0879257
Yaounde	0.0872328
"Egyptian capital"	0.0871714
Leverkusen	0.0870656
PALERMO	0.0867326
Ouagadougou	0.0866254
Pretoria	0.0866126
Seville	0.0865282
Oslo	0.0860194
Naples	0.0859693
LONDON	0.0857631
"Rio de Janeiro"	0.0856138
"Cape Town"	0.0850946
Osaka	0.0846333
JOHANNESBURG	0.0845204
Lusaka	0.0838791
ZAGREB	0.0837972
Bern	0.083207
CAIRO	0.0830613
WARSAW	0.0827427
CARACAS	0.0825119
Basle	0.0824502
Abuja	0.0823424
Arusha	0.0821849
Accra	0.0817312
"Mexico City"	0.0812698
Auckland	0.0811265
Duisburg	0.0808878
Belfast	0.080618
Havana	0.0805648
MAPUTO	0.0803373
Riyadh	0.0800787
"Borussia Dortmund"	0.0800749
Aachen	0.0797847
Santiago	0.0795999
Tokyo	0.0794148
"Kuala Lumpur"	0.0794027
Reykjavik	0.0793244
Rabat	0.0792359
Sirte	0.0789998
Peshawar	0.0789763
"Nigerian capital"	0.0789246
HANOI	0.0788697
Bordeaux	0.0787771
Dortmund	0.0779848
Birmingham	0.0774026
Genoa	0.0773548
BLANTYRE	0.0772127
Mbabane	0.0762023
"Addis Ababa"	0.0761997
Davos	0.0761676
Charleroi	0.075676
Schalke	0.0755787
"San Salvador"	0.0755297
BUDAPEST	0.0755212
SEOUL	0.075408
Merida	0.0751724
Guadalajara	0.0743498
ATHENS	0.0742013
Hannover	0.0740826
Doha	0.0740693
Sarajevo	0.0739468
Krasnoyarsk	0.0737135
Lugano	0.0735914
BRATISLAVA	0.0734793
Rostock	0.0733651
"Monte Carlo"	0.0731919
Nairobi	0.0730148
MELBOURNE	0.0728325
Luanda	0.072696
"St. Petersburg"	0.0722697
Freiburg	0.0722274
Manchester	0.0721405
Glasgow	0.0720475
"Dar es Salaam"	0.071849
Dushanbe	0.0718125
"Buenos Aires"	0.0717968
Nantes	0.0717187
"San Sebastian"	0.0715392
SOFIA	0.071473
BEIJING	0.0713064
Utrecht	0.0712054
Minneapolis	0.0707643
Tehran	0.070719
BRASILIA	0.070704
Bologna	0.0705677
Kigali	0.0705597
PYONGYANG	0.0704122
Tripoli	0.070159
"Hertha Berlin"	0.0701316
Goteborg	0.0701006
Monaco	0.0700117
Malmo	0.0696411
Bangkok	0.0695987
Sapporo	0.0695547
Amman	0.0694993
Berne	0.0693387
Linz	0.0693259
Perth	0.0690976
Manila	0.0690293
Brisbane	0.0690175
Antalya	0.0688601
Marseille	0.0687593
"The Hague"	0.0685776
Tashkent	0.0683958
deodorant	0.0682682
Okinawa	0.0681668
"VfB Stuttgart"	0.0681401
Montreal	0.068078
Klagenfurt	0.0677956
"Sao Paulo"	0.0675814
Trondheim	0.0675653
Langkawi	0.0674463
"Key Biscayne"	0.0674137
Honolulu	0.0673675
"CHIANG MAI"	0.0673392
Filderstadt	0.0672038
Eindhoven	0.0670457
Minsk	0.0670304
Libreville	0.0669106
Aqaba	0.0668866
Asuncion	0.0667718
Bishkek	0.0667145
Dakar	0.0663875
Porto	0.066315
DHAKA	0.0660207
Ndola	0.0660125
Beirut	0.065956
BOGOTA	0.0657727
"VfL Wolfsburg"	0.0656177
MANAMA	0.0655349
"Tel Aviv"	0.0654985
NICOSIA	0.0652448
Gelsenkirchen	0.0650194
Ramallah	0.0647741
"La Paz"	0.0647612
Riga	0.0647076
Lahore	0.0645737
))
(Colombia (desc 72709.3) (sims
Peru	0.235714
Mexico	0.234418
Ecuador	0.223836
Venezuela	0.222421
Guatemala	0.217714
Argentina	0.214026
Nicaragua	0.206904
Bolivia	0.205704
Brazil	0.205688
"Costa Rica"	0.193411
"El Salvador"	0.18942
Chile	0.186493
Honduras	0.180547
Panama	0.180226
Uruguay	0.178764
"Sri Lanka"	0.175376
"South Africa"	0.174504
Paraguay	0.174328
Bulgaria	0.174274
Thailand	0.173922
Poland	0.171697
Nigeria	0.170956
Romania	0.170273
"South Korea"	0.169518
Indonesia	0.169488
Haiti	0.169137
Canada	0.168703
Ukraine	0.167807
Cuba	0.165864
"Dominican Republic"	0.165543
Algeria	0.1653
Iran	0.16394
Russia	0.163923
Angola	0.163426
Egypt	0.158388
"Saudi Arabia"	0.15824
Afghanistan	0.157694
Kenya	0.156445
Jamaica	0.155312
Pakistan	0.154016
Japan	0.153404
Turkey	0.153131
Hungary	0.152869
Spain	0.152607
Germany	0.152363
Italy	0.152019
Cambodia	0.151069
India	0.150415
Zimbabwe	0.149348
Mozambique	0.149248
Vietnam	0.148379
Australia	0.148247
Croatia	0.147347
Philippines	0.147068
Malaysia	0.146134
Sudan	0.145701
Norway	0.145108
Belgium	0.144366
Bangladesh	0.144246
France	0.144188
Greece	0.1419
China	0.141699
Switzerland	0.141449
"United States"	0.141431
"Sierra Leone"	0.139947
Yugoslavia	0.139818
Tunisia	0.138681
Portugal	0.138017
Albania	0.137576
Ethiopia	0.137529
Congo	0.137103
"New Zealand"	0.136363
Tanzania	0.136179
Zambia	0.136089
Morocco	0.135612
Yemen	0.135499
Finland	0.135497
Denmark	0.134542
Austria	0.134373
Ghana	0.133925
Uganda	0.133741
Somalia	0.132891
Sweden	0.132797
"Puerto Rico"	0.131772
Netherlands	0.130972
Namibia	0.130838
"Trinidad and Tobago"	0.130802
Ireland	0.130732
Senegal	0.130565
Lebanon	0.130469
Britain	0.129571
country	0.129523
Liberia	0.129252
"Central America"	0.129176
Myanmar	0.128687
Africa	0.128017
Armenia	0.127452
"South American country"	0.126544
Singapore	0.126206
Guyana	0.124992
"Papua New Guinea"	0.123742
Taiwan	0.123312
"African country"	0.12267
"Central American country"	0.122495
Kuwait	0.122166
Libya	0.121988
Lithuania	0.121931
Kazakhstan	0.121513
Uzbekistan	0.120646
Mongolia	0.120357
Iraq	0.120131
Nepal	0.120038
England	0.119798
Burundi	0.119297
Israel	0.119252
Fiji	0.119191
"South America"	0.118924
Scotland	0.118754
Laos	0.1184
Bosnia	0.118086
Belize	0.117947
Slovakia	0.117278
"North Korea"	0.11587
region	0.114663
Zaire	0.114487
Cameroon	0.114079
"Latin America"	0.113407
Georgia	0.112649
"African nation"	0.112617
Macedonia	0.112513
Belarus	0.111975
Syria	0.11169
Asia	0.111226
Moldova	0.111059
Malawi	0.110271
Rwanda	0.110114
Qatar	0.109281
Bahrain	0.108829
"Czech Republic"	0.108827
Estonia	0.108178
"Northern Ireland"	0.107888
Slovenia	0.107884
Botswana	0.107687
province	0.107445
"Ivory Coast"	0.107068
Europe	0.106941
Oman	0.106863
Iceland	0.106752
Bahamas	0.106708
"Hong Kong"	0.106513
Republic	0.106395
Tajikistan	0.10636
Korea	0.10625
Guinea-Bissau	0.106202
Burma	0.105902
Jordan	0.104845
Chechnya	0.103474
Cyprus	0.10339
Serbia	0.103327
Azerbaijan	0.103054
Malta	0.102387
Kosovo	0.10148
Latvia	0.101461
Mali	0.100865
Suriname	0.100057
"Asian country"	0.0998726
nation	0.0997162
"United Kingdom"	0.0992628
Luxembourg	0.099016
Gabon	0.0987343
Kazakstan	0.0986861
Kyrgyzstan	0.0984804
DRC	0.0981245
Guinea	0.0966883
"United Arab Emirates"	0.0965379
Togo	0.0964319
Bosnia-Herzegovina	0.0955502
"Asian nation"	0.0955369
Moscow	0.095417
California	0.0950223
Brunei	0.0943769
BOGOTA	0.0931887
"European country"	0.0931452
Barbados	0.0927847
"East Timor"	0.0924028
Grenada	0.0919463
Florida	0.0912108
"Middle East"	0.091169
"Soviet Union"	0.0908055
Eritrea	0.0904596
"Great Britain"	0.0901934
Lesotho	0.0895104
Tibet	0.0882895
Niger	0.0882374
state	0.0876283
Texas	0.0873617
Swaziland	0.087109
BEIJING	0.086701
Madagascar	0.0864546
UAE	0.0864459
))
(Colombian (desc 14106.5) (sims
Mexican	0.167233
Venezuelan	0.162453
Peruvian	0.155613
Salvadoran	0.151196
Honduran	0.150558
Guatemalan	0.147844
Chilean	0.139472
Panamanian	0.139389
Briton	0.131913
Haitian	0.131028
Bolivian	0.13071
Nicaraguan	0.129462
Indonesian	0.129391
Algerian	0.129187
Cambodian	0.128267
Mozambican	0.126919
"Sri Lankans"	0.125917
Iranian	0.125475
Filipino	0.12547
Ugandan	0.122332
Sudanese	0.122294
Brazilian	0.120726
Georgian	0.120583
Bulgarian	0.119996
Argentine	0.119868
Vietnamese	0.118258
Ukrainians	0.117219
Canadian	0.116825
Ethiopian	0.116457
Jordanian	0.116285
Kenyan	0.116182
Pakistani	0.115056
"South Koreans"	0.114448
Thai	0.114389
Egyptian	0.112886
Angolan	0.112868
Cuban	0.112863
"Sierra Leonean"	0.112538
Liberian	0.112263
Nigerian	0.110977
Nepalese	0.110939
Dominican	0.110789
Italian	0.110677
Zimbabwean	0.109332
Bosnians	0.109173
Iraqi	0.108561
Taiwanese	0.107934
Russian	0.106915
Eritrean	0.106171
Lebanese	0.106024
German	0.105179
Kuwaiti	0.104476
Cypriot	0.103962
Somali	0.102664
Tanzanian	0.102311
Greeks	0.101593
Austrian	0.101336
"South African"	0.101243
Bangladeshi	0.101204
Moroccan	0.100097
Belgian	0.099137
Californian	0.0988833
Burundian	0.0982415
Malaysian	0.0972051
Singaporean	0.0968447
Japanese	0.0963511
Australian	0.0962637
Saudi	0.0959641
Beijingers	0.0953213
Zambian	0.0941262
foreigner	0.0936895
Israeli	0.0935748
Afghan	0.0933773
Hungarian	0.0933277
Frenchmen	0.0920738
Romanian	0.0917957
Congolese	0.0913773
Turk	0.0906826
Namibian	0.0905707
Uruguayan	0.0898435
Rwandan	0.0890236
"Puerto Rican"	0.0884822
Swiss	0.0877955
Palestinian	0.087407
Yemeni	0.0873631
Libyan	0.0872699
Spaniard	0.0871862
citizen	0.0869252
"East Timorese"	0.0868581
Chinese	0.0861378
Koreans	0.0836399
Albanian	0.083294
"North Koreans"	0.082178
illegals	0.0820751
Syrian	0.0820639
"army officer"	0.0818237
Yugoslav	0.0806944
westerner	0.0802499
"San Franciscans"	0.0800971
Swede	0.080054
Kurds	0.0800415
Tibetans	0.0794111
Minnesotan	0.0787095
settler	0.0785847
resident	0.0778983
villager	0.0778242
European	0.0777815
Muscovite	0.0774951
businessmen	0.0769207
Guinean	0.0767075
"New Zealander"	0.076677
migrant	0.0764185
Norwegian	0.0763863
Texan	0.0760649
African	0.0756981
homeowner	0.075442
Floridian	0.0753306
Quebecers	0.0751962
"Albanian Kosovars"	0.0749708
Jew	0.0749446
Ecuadoreans	0.0745786
Kosovars	0.0742927
Chechens	0.0742708
Arizonan	0.0741037
Asian-Americans	0.0740592
immigrant	0.0739544
"Kosovo Albanians"	0.0737753
"military officer"	0.0730602
national	0.0727361
"Iranian POWs"	0.0726052
Zairean	0.0725014
British	0.0723437
Cuban-Americans	0.0722219
Londoner	0.0721306
inhabitant	0.0720025
Arab	0.0716941
Iowan	0.0712523
Ecuadorian	0.0712395
civilian	0.0711703
tourist	0.0711649
"military personnel"	0.0710925
"university student"	0.07107
"college student"	0.0710491
policemen	0.0708551
"Russian Jews"	0.0706301
Indian	0.0704205
"North Africans"	0.0703746
policyholder	0.0703025
Croats	0.0700776
Macedonian	0.0700018
"Central American"	0.0697854
"white man"	0.0696737
"Kosovo Serbs"	0.0696344
Southerner	0.0693649
Latino	0.0690922
"union member"	0.0690805
"Iraqi POWs"	0.0690714
Navajos	0.0686939
crewmembers	0.06819
"drug trafficker"	0.0681005
journalist	0.0680309
"New Yorker"	0.0678607
"intelligence agent"	0.0677921
"Kosovar Albanians"	0.0676016
diplomat	0.0675215
peasant	0.066897
"New Englander"	0.0665926
African-American	0.0665789
"farm worker"	0.0663097
"Cuban Americans"	0.0662227
Hijacker	0.0662184
banker	0.0659413
expatriate	0.0657061
VMs	0.0656872
Czech	0.0655319
servicemen	0.0654558
firefighters	0.0649835
Paraguayan	0.064902
deserter	0.0648361
smuggler	0.0647475
"Costa Rican"	0.0647365
farmer	0.0646458
laborer	0.0646405
Scots	0.0645699
scientist	0.0645565
Jamaican	0.064548
schoolchildren	0.0644751
"AIDS patient"	0.0643718
depositor	0.0642987
Laotian	0.0640082
Frenchman	0.0637956
Parisian	0.0637907
"drug dealer"	0.0637225
voter	0.0636594
Fijian	0.063597
motorist	0.0634748
activist	0.0634129
"market watcher"	0.0633426
enrollee	0.0633036
townsfolk	0.0632118
))
(COLOMBO (desc 36145.1) (sims
DHAKA	0.219744
KAMPALA	0.211469
Nairobi	0.210101
Manila	0.208458
Lusaka	0.20402
HARARE	0.202789
Kathmandu	0.199945
Luanda	0.198915
Jakarta	0.196471
MAPUTO	0.196094
"Addis Ababa"	0.19438
Islamabad	0.191685
"Kuala Lumpur"	0.189476
JOHANNESBURG	0.188566
Bangkok	0.187032
"Phnom Penh"	0.181543
"New Delhi"	0.175834
Beirut	0.173879
"Dar es Salaam"	0.17385
YANGON	0.172473
Lagos	0.170123
CARACAS	0.169903
Algiers	0.16775
HANOI	0.166993
Tehran	0.16688
TIRANA	0.166611
SOFIA	0.165418
Dushanbe	0.165273
CAIRO	0.164759
SEOUL	0.163295
BUCHAREST	0.162412
Amman	0.159242
BOGOTA	0.158954
KIEV	0.155875
Karachi	0.154271
ANKARA	0.154003
Sarajevo	0.153753
Durban	0.150828
"Tel Aviv"	0.14848
Santiago	0.146984
Freetown	0.146823
Kabul	0.146453
Lahore	0.146233
Riyadh	0.145294
BEIJING	0.14482
Moscow	0.144525
Havana	0.144067
"Buenos Aires"	0.142091
Lima	0.141479
Istanbul	0.139595
"Cape Town"	0.139372
BUDAPEST	0.137495
Maseru	0.137492
Prague	0.137158
BELGRADE	0.136548
Geneva	0.136447
BRUSSELS	0.13639
Quito	0.136013
Pretoria	0.135488
"Mexico City"	0.134799
"Guatemala City"	0.133837
JERUSALEM	0.133773
Srinagar	0.133704
Khartoum	0.133226
Bujumbura	0.132477
Yaounde	0.131664
ATHENS	0.131331
TEGUCIGALPA	0.131179
NICOSIA	0.131108
Rabat	0.131077
ZAGREB	0.131009
SANAA	0.130363
Kunming	0.129985
Tokyo	0.129952
CHENGDU	0.129759
LISBON	0.128416
Managua	0.128008
Monrovia	0.127798
WARSAW	0.127765
LONDON	0.127589
Tripoli	0.127163
Kinshasa	0.127103
Baghdad	0.127078
Shanghai	0.127013
Rome	0.126939
Mogadishu	0.126571
Belfast	0.126024
Kigali	0.125947
Madrid	0.125746
"Ulan Bator"	0.125376
Asmara	0.125085
Kandy	0.124705
Doha	0.124564
Lhasa	0.12377
"Abu Dhabi"	0.122883
TUNIS	0.121859
Helsinki	0.121348
Tashkent	0.120963
Vienna	0.120947
Windhoek	0.120902
Vientiane	0.120204
Paris	0.120184
STOCKHOLM	0.120176
Wellington	0.120067
Pristina	0.12002
Auckland	0.119528
Damascus	0.11916
Jaffna	0.119027
"Rio de Janeiro"	0.118743
BRASILIA	0.117111
Asuncion	0.116576
Grozny	0.115911
Dili	0.115776
"Sri Lanka"	0.115629
Dakar	0.115536
"KUWAIT CITY"	0.115057
Mombasa	0.114982
Bonn	0.114815
Gaborone	0.114417
MONTEVIDEO	0.114381
Delhi	0.114379
Gaza	0.114205
Urumqi	0.114016
Accra	0.113921
Hangzhou	0.113901
Minsk	0.113624
Yinchuan	0.112863
"Panama City"	0.112802
Lome	0.112673
"Ho Chi Minh City"	0.112523
"SANTAFE DE BOGOTA"	0.11243
Quetta	0.112363
Berlin	0.111932
Dublin	0.111895
Abuja	0.111729
Abidjan	0.111423
Skopje	0.111396
Baku	0.110679
Mbabane	0.110234
"Santo Domingo"	0.1091
Vilnius	0.108989
"San Salvador"	0.108957
Suva	0.108882
PYONGYANG	0.108849
"ALMA ATA"	0.108767
Taipei	0.108269
Guangzhou	0.108058
Calcutta	0.107617
capital	0.107399
Ramallah	0.107233
Bissau	0.106889
NANJING	0.106868
Peshawar	0.105871
Haikou	0.105503
Vavuniya	0.104728
Tbilisi	0.104594
Vladikavkaz	0.104462
"Egyptian capital"	0.103543
Arusha	0.102905
Tianjin	0.102263
Canberra	0.102085
Kandahar	0.101807
"Sao Paulo"	0.100259
"La Paz"	0.099785
MANAMA	0.0992259
Galle	0.0989644
Hyderabad	0.0978221
Ottawa	0.0978141
Ambon	0.0974669
Fuzhou	0.0973319
Brazzaville	0.0971742
Chittagong	0.096934
"Hong Kong"	0.0961982
Cartagena	0.0961947
Nanning	0.0959448
MELBOURNE	0.0956438
Singapore	0.0956004
Bombay	0.0955615
Shenyang	0.095549
Changsha	0.0950424
Amsterdam	0.0949274
"San Jose"	0.0939122
Yerevan	0.0938405
Trincomalee	0.0936469
"San Juan"	0.0934842
Makhachkala	0.0930817
Kuito	0.0925241
Birmingham	0.0925052
Shenzhen	0.0923935
Alexandria	0.0920391
Zhengzhou	0.0920217
Bishkek	0.091133
Riga	0.0908688
Harbin	0.0907853
Frankfurt	0.0904849
"Oklahoma City"	0.0899358
Alma-Ata	0.0898589
DUBAI	0.0896769
"provincial capital"	0.0896617
"St. Petersburg"	0.0893817
))
(colon (desc 14281.2) (sims
"large intestine"	0.235512
prostate	0.206471
bladder	0.175888
lung	0.173877
esophagus	0.173636
pancreas	0.17095
intestine	0.167112
uterus	0.165867
liver	0.134727
kidney	0.131318
Nagy	0.129853
larynx	0.129422
breast	0.126553
spleen	0.126359
"digestive tract"	0.125371
bowel	0.12438
cervix	0.120863
ovary	0.120305
gallbladder	0.119989
"colon cancer"	0.119726
Trachsel	0.112103
Bottenfield	0.111946
rectum	0.109912
"prostate gland"	0.108737
"lung cancer"	0.1086
stomach	0.107125
melanoma	0.104722
abdomen	0.104459
Dempster	0.10436
Radke	0.104126
"lymph node"	0.103875
Harnisch	0.101623
"Bartolo Colon"	0.101398
ulcer	0.0991135
Millwood	0.0975429
Moehler	0.0960284
aneurysm	0.0952197
Mussina	0.0950447
Hermanson	0.0946361
Lieber	0.093691
Pavano	0.0928619
Hentgen	0.0928534
Tapani	0.0920151
Mercker	0.0918964
"Russ Ortiz"	0.0909232
Kile	0.0905103
Rusch	0.0896184
Burkett	0.0895494
Sele	0.088856
"achilles tendon"	0.0887995
"blood vessel"	0.0881402
aorta	0.088076
Mahomes	0.0880163
cancer	0.0871408
Arrojo	0.0870194
Fassero	0.0869318
Bohanon	0.0866549
Tomko	0.0861066
Rueter	0.0853428
Helling	0.0851364
hernia	0.0850841
"Jon Lieber"	0.0849387
"Dave Burba"	0.0838087
leukemia	0.083665
Ankiel	0.0833674
Reynoso	0.0828831
Schourek	0.0827456
Mantei	0.0820751
"Franco Squillari"	0.0819043
"Brian Moehler"	0.0814948
"bone marrow"	0.081357
Burba	0.0809795
"Eric Milton"	0.0807708
Candiotti	0.0803923
Yoshii	0.079932
"respiratory disease"	0.0798641
Moyer	0.0797721
Wakefield	0.0796384
Daal	0.0795669
"cardiovascular disease"	0.0792217
thyroid	0.0792103
Dickson	0.078871
Benes	0.0788673
Smoltz	0.078809
Herges	0.0787653
Dreifort	0.0787205
Loaiza	0.0781816
appendix	0.0780972
Belcher	0.0779858
Glavine	0.0776275
Neagle	0.0774692
"Florencia Labat"	0.0772859
brain	0.0771473
Elarton	0.0771448
Halama	0.0771422
Meadows	0.0768825
sinus	0.0768656
"skin cancer"	0.0766839
Petkovsek	0.0764844
Mlicki	0.0763089
"spinal cord"	0.0759061
tumor	0.075694
"Woody Williams"	0.0755787
"brain tumor"	0.0753758
Mendoza	0.0752297
testicle	0.0751029
Pettitte	0.0749033
Gooden	0.0747893
cataract	0.0744858
D'Amico	0.0738478
Heredia	0.0736989
"Jaret Wright"	0.0736303
Hershiser	0.0735134
"Javier Vazquez"	0.0732529
Borbon	0.0728487
Mulholland	0.0724823
Percival	0.0720885
Woodard	0.0719973
Astacio	0.0719327
Dotel	0.0719058
Saberhagen	0.0716211
eardrum	0.0713479
Bere	0.0710416
"brain stem"	0.0706714
"heart disease"	0.0705107
"central nervous system"	0.0699383
asthma	0.0697261
"John Burkett"	0.0697059
Rapp	0.0694546
Leiter	0.0694074
"liver disease"	0.0690468
"heart attack"	0.0684206
"Jesus Sanchez"	0.0683262
lymphoma	0.0681739
Cordova	0.0681544
gland	0.0679519
"heart failure"	0.067905
Cloude	0.0678447
Remlinger	0.0677573
"Brad Radke"	0.0676295
Haynes	0.0676165
"nervous system"	0.0673783
artery	0.0672654
Maddux	0.0672406
"vocal cord"	0.0672116
throat	0.0670483
"John Snyder"	0.066678
Stottlemyre	0.0666003
Olivares	0.0665608
"digestive system"	0.0664031
Benitez	0.0661316
estes	0.0660598
Schoeneweis	0.0659466
Checo	0.0658709
"Kirk Rueter"	0.0657853
Osuna	0.0657106
ailment	0.0655954
cartilage	0.0654812
Erickson	0.0651982
Schilling	0.0650781
tissue	0.0648818
Eldred	0.0647118
"Al Leiter"	0.0643998
Vazquez	0.0643464
Nomo	0.0643146
glaucoma	0.0642183
Meche	0.0640515
Parris	0.0639656
"Jeff Weaver"	0.0636691
"coronary artery"	0.0636224
Wendell	0.063563
"Shane Reynolds"	0.062987
"Hernan Gumy"	0.0629812
Perisho	0.0629809
"Paola Suarez"	0.0628452
"Orlando Hernandez"	0.0622981
Orosco	0.0621774
vagina	0.0621008
"Mark Gardner"	0.0620962
Etherton	0.0620913
eyelid	0.0619354
Valdes	0.0618628
retina	0.0617208
"Gil Heredia"	0.0616592
"Mark Portugal"	0.061518
"kidney disease"	0.0614994
pneumonia	0.0614555
Irabu	0.0612197
Contreras	0.0611826
Wasdin	0.0609201
"back pain"	0.0608816
Pulsipher	0.0606324
"BRIAN MEADOWS"	0.0602276
Hampton	0.0599963
gallstone	0.0599817
Ligtenberg	0.0599534
"Kevin Tapani"	0.0598618
"Andy Benes"	0.0597888
"Chan Ho Park"	0.0596777
"Jamey Wright"	0.0596003
))
("colon cancer" (desc 11113.9) (sims
"lung cancer"	0.358254
leukemia	0.311135
"heart disease"	0.293104
lymphoma	0.286475
"brain tumor"	0.277831
cancer	0.266505
melanoma	0.251444
"cardiovascular disease"	0.244834
"Parkinson's disease"	0.240407
Osteoporosis	0.23758
"liver disease"	0.218852
diabetes	0.216842
"heart failure"	0.211284
"multiple sclerosis"	0.210563
"skin cancer"	0.208457
pneumonia	0.201155
"congestive heart failure"	0.200649
hypertension	0.195692
"heart attack"	0.193597
emphysema	0.189937
asthma	0.185946
malaria	0.177073
glaucoma	0.173743
hepatitis	0.17354
disease	0.170657
myeloma	0.169284
"heart condition"	0.168875
tuberculosis	0.168769
arthritis	0.167768
"high blood pressure"	0.166922
ailment	0.164335
"kidney disease"	0.163959
ulcer	0.16382
tumor	0.163468
Parkinson's	0.163138
Alzheimer	0.162847
dementia	0.160489
schizophrenia	0.160472
infection	0.16014
CJD	0.158402
cataract	0.156668
illness	0.156323
Meningitis	0.155505
"cystic fibrosis"	0.153897
prostate	0.153401
"Lyme disease"	0.153321
disorder	0.153261
HIV	0.151158
epilepsy	0.150774
Alcoholism	0.150584
osteoarthritis	0.149142
syndrome	0.147269
"food poisoning"	0.146008
als	0.145103
Tb	0.141914
dehydration	0.141717
angina	0.137988
SIDS	0.137842
anemia	0.137388
"infectious disease"	0.13369
"dengue fever"	0.132321
"mental illness"	0.131584
encephalitis	0.130899
Obesity	0.130878
stroke	0.13007
"sexually transmitted disease"	0.129318
"rheumatoid arthritis"	0.129158
Depression	0.128761
fracture	0.128209
poisoning	0.125516
hypothermia	0.124855
"back pain"	0.124388
"blood clot"	0.124115
allergy	0.123838
flu	0.123633
overdose	0.12359
autism	0.12291
infertility	0.120537
lupus	0.120337
"AIDS virus"	0.12015
influenza	0.119775
colon	0.119726
hemorrhage	0.118376
aids	0.117813
measles	0.116838
"heat exhaustion"	0.116225
cholera	0.115654
hemophilia	0.11389
virus	0.113241
syphilis	0.113241
"hepatitis B"	0.112262
complication	0.112057
"respiratory disease"	0.111684
ADHD	0.111418
hernia	0.111282
diarrhea	0.110919
relapse	0.110775
lung	0.110363
defect	0.109072
deafness	0.107942
malnutrition	0.107393
cirrhosis	0.107224
"drug addiction"	0.105792
Rabies	0.105382
"eye disease"	0.104847
breast	0.103676
"muscular dystrophy"	0.103229
aneurysm	0.103068
sickness	0.103042
cholesterol	0.102898
heartbeat	0.102322
nearsightedness	0.102233
"health problem"	0.102104
polyp	0.10077
arrhythmia	0.100553
rotavirus	0.100552
"manic depression"	0.100421
HIV/AIDS	0.0999063
bronchitis	0.0994915
Addiction	0.0994315
fever	0.0990165
blindness	0.0987812
malignancy	0.0970433
polio	0.0968666
Dengue	0.0963451
"mental disorder"	0.0940427
"substance abuse"	0.0938349
gallstone	0.0936558
injury	0.093239
"malignant tumor"	0.0930228
mutation	0.0930018
narcolepsy	0.0927258
carcinoma	0.0910822
inhalation	0.0909381
suffocation	0.0905236
"neurological disorder"	0.0903375
trauma	0.0896766
"venereal disease"	0.0896304
kidney	0.0895276
Exhaustion	0.0881876
"genetic disease"	0.0872454
impotence	0.0872216
starvation	0.0870114
retardation	0.0865796
atherosclerosis	0.0863595
fibrillation	0.0861002
pregnancy	0.085935
abnormality	0.0851358
leprosy	0.0841237
symptom	0.0840276
"tooth decay"	0.0838967
"acquired immune deficiency syndrome"	0.0837948
"lead poisoning"	0.0837287
bacteria	0.0833333
"chest pain"	0.0832766
"memory loss"	0.083139
smoking	0.0828966
"drug abuse"	0.0827989
heartburn	0.082714
"cerebral palsy"	0.0820364
concussion	0.0815096
insomnia	0.0814999
thyroid	0.0810149
smallpox	0.0807224
dysfunction	0.0804669
bladder	0.0804617
"West Nile"	0.0804057
salmonella	0.0803282
"kidney stone"	0.0799906
dyslexia	0.0799297
liver	0.0794809
degeneration	0.0792408
diarrhoea	0.0789805
epidemic	0.0787154
"personality disorder"	0.0785374
disability	0.0783759
rollovers	0.078287
deficiency	0.0782791
encephalopathy	0.0782341
C	0.0777944
recidivism	0.0768104
fatigue	0.0758894
migraine	0.0758727
cold	0.0756131
gastroenteritis	0.0755004
apnea	0.0754054
BSE	0.0745054
recurrence	0.0741192
inflammation	0.0740556
STDs	0.0734862
contamination	0.073237
sclerosis	0.0710599
seizure	0.0706074
overwork	0.0705796
transplant	0.0702135
clotting	0.070159
miscarriage	0.0698987
incontinence	0.0696669
malady	0.0695897
"foot-and-mouth disease"	0.0694382
))
(Colonel (desc 30514.6) (sims
"lieutenant colonel"	0.238688
commander	0.142612
Admiral	0.130481
Sergeant	0.129295
Lieutenant	0.128553
"lieutenant general"	0.127086
General	0.126431
"army officer"	0.116959
officer	0.115323
"brigadier general"	0.114384
Wiranto	0.112947
"military officer"	0.105615
captain	0.105397
Brigadier	0.10153
"intelligence officer"	0.0999781
"Wesley Clark"	0.0994957
corporal	0.0949941
chief	0.0930105
policeman	0.0903308
Maj.-Gen.	0.0894904
"chief of staff"	0.0888084
paratrooper	0.0862761
aviator	0.0860093
soldier	0.0855721
"test pilot"	0.0848828
diplomat	0.0844526
"naval officer"	0.0838379
"commander in chief"	0.0798343
"Pervez Musharraf"	0.0792194
pilot	0.0785223
Ambassador	0.078181
secretary	0.0779944
Prabowo	0.0769813
"enlisted man"	0.0768385
engineer	0.0765028
undersecretary	0.0763552
minister	0.076005
"Khin Nyunt"	0.0759011
"military leader"	0.0746133
"cabinet minister"	0.0742785
deputy	0.0742647
"Shamil Basayev"	0.0739816
"Johnny Paul Koroma"	0.0735723
businessman	0.0729894
"police officer"	0.0725409
servicemen	0.072089
"air force officer"	0.0719436
vice	0.071811
clergyman	0.0716862
reservist	0.0716385
Sheik	0.0707572
consul	0.0707482
"staff sergeant"	0.0705969
"deputy foreign minister"	0.070499
"police chief"	0.0702931
instructor	0.0698809
"Prabowo Subianto"	0.0697268
superintendent	0.0695728
"Javier Solana"	0.0690967
Lt.-Gen.	0.0687135
medic	0.0687091
commandant	0.0683996
Abubakar	0.068286
"truck driver"	0.0681393
serviceman	0.06811
professor	0.0675525
conscript	0.0675013
"Vladimir Putin"	0.066342
Kaunda	0.0659862
"Abdulsalami Abubakar"	0.0651487
Misuari	0.0645063
"Chavalit Yongchaiyudh"	0.0644806
doctor	0.0643075
banker	0.0643005
commando	0.0642565
major	0.0642105
cadet	0.0641469
"staff officer"	0.0637824
"William Cohen"	0.0636154
"Hashim Thaci"	0.0633591
"Saeb Erekat"	0.0633166
Governor	0.0632762
"civil servant"	0.0632713
"Barry McCaffrey"	0.0632364
"chief justice"	0.063188
"Tin Oo"	0.0629907
"William Perry"	0.0629189
judge	0.0628177
"Aslan Maskhadov"	0.0628132
Congressman	0.0627437
"Victor Malu"	0.0626602
policemen	0.0626197
veteran	0.0625094
Sergeyev	0.0623685
Lord	0.0623049
"deputy director"	0.0621991
"foreign minister"	0.0621245
"military attache"	0.0620672
"inspector general"	0.0620273
"vice president"	0.061903
"Abdulsalam Abubakar"	0.0618513
"Faisal Husseini"	0.0618508
constable	0.0613396
"Mesut Yilmaz"	0.0610054
administrator	0.0609989
commissioner	0.0609196
chaplain	0.0608925
Stepashin	0.0608121
"Martin McGuinness"	0.0607301
"Yevgeny Primakov"	0.0606935
defector	0.0606857
"Bernard Kouchner"	0.0605321
Moi	0.0604628
"Sani Abacha"	0.0603934
"intelligence agent"	0.0602991
Abdullah	0.0602647
"finance minister"	0.0602234
"general staff"	0.0602037
"police sergeant"	0.060055
Al-Sabah	0.0600268
firefighter	0.0599917
psychiatrist	0.0599722
"police detective"	0.0599504
detective	0.0597673
Prince	0.0597575
personnel	0.0595231
advisor	0.0594302
Wamba	0.0593232
"Anwar Ibrahim"	0.0592851
"secretary of state"	0.0592515
operative	0.0591851
treasurer	0.0591683
Brigade	0.0590682
pastor	0.0590167
"Moammar Gadhafi"	0.0589239
"Alexander Lebed"	0.0588738
surgeon	0.0588647
"commanding officer"	0.0588588
scientist	0.0588167
"Richard Butler"	0.0587726
Basayev	0.0587725
trooper	0.0585426
"Hugo Chavez"	0.0585373
"vice chairman"	0.0585204
"military man"	0.0585102
Primakov	0.0585016
supervisor	0.0583762
journalist	0.0581396
president-elect	0.0580525
Weizman	0.0579091
army	0.0579063
battalion	0.0579051
priest	0.0577935
politician	0.0576576
cleric	0.0576447
marine	0.0576097
"Lawrence Summers"	0.0574919
"managing director"	0.0574142
Hassan	0.0574055
Mayor	0.0569624
"prison guard"	0.0568732
adviser	0.0567967
Premier	0.0566561
prosecutor	0.0565948
dissident	0.0565545
"Marzuki Darusman"	0.0564696
"William Daley"	0.0564236
Lahoud	0.0564035
lawyer	0.0563909
Chevenement	0.0563904
"Atal Bihari Vajpayee"	0.0563791
"Henry Shelton"	0.0561884
"Benazir Bhutto"	0.0561095
"head of state"	0.0560185
"Chuan Leekpai"	0.056002
Mugabe	0.0559744
"bus driver"	0.0559607
bureaucrat	0.0559216
Mandela	0.0559162
legislator	0.0559056
"Ariel Sharon"	0.0557518
"Necmettin Erbakan"	0.0555292
"Ta Mok"	0.0554757
aide	0.0554102
Sharif	0.0551261
Attorney	0.0551091
executive	0.0551059
Maskhadov	0.055051
"George Robertson"	0.0550256
Chuan	0.0549901
rabbi	0.0549462
"Bulent Ecevit"	0.0549292
Solana	0.054914
Musharraf	0.0548592
"Secretary of Defense"	0.0547905
"Janet Reno"	0.0547785
teacher	0.0547167
"Nawaz Sharif"	0.0546812
"Viktor Chernomyrdin"	0.0545669
nurse	0.054529
))
(Colonial (desc 13988.6) (sims
"Fletcher Energy"	0.0931878
"Buick Invitational"	0.0916551
mansion	0.0894112
Victorian	0.0890912
"Pebble Beach"	0.0841571
cottage	0.0840846
"Fletcher Building"	0.08379
Masters	0.081077
"town house"	0.0791671
"PGA Championship"	0.0782141
townhouse	0.076718
"Augusta National"	0.0765802
Carnoustie	0.0754801
bungalow	0.0754506
"ranch house"	0.0752337
duplex	0.0731181
"British Open"	0.0730805
"row house"	0.0714093
"Australian Open"	0.0708283
Belfry	0.0698145
Sahalee	0.0696893
Riviera	0.069339
"US Open"	0.0692343
Villa	0.0677768
"Mastercard Colonial"	0.0677267
"Auckland Airport"	0.0676871
"country club"	0.0676423
"U.S. Open"	0.0669834
"Tour Championship"	0.0668707
"Carter Holt Harvey"	0.0666634
"Fletcher Paper"	0.0662029
"Loch Lomond"	0.0651553
Doral	0.0650488
brownstone	0.0648982
"Western Open"	0.0646264
Augusta	0.0644298
"manor house"	0.0636514
AMP	0.063293
"French Open"	0.0629571
inn	0.0629087
farmhouse	0.0626483
"beach house"	0.0623322
"LPGA Championship"	0.0622845
"Nissan Open"	0.0617412
"Contact Energy"	0.0616318
"Memorial Tournament"	0.0613472
Valhalla	0.0608401
townhouses	0.0602142
"Sahalee Country Club"	0.0600922
"World Figure Skating Championships"	0.0597167
"Canadian Open"	0.0597049
"Roland Garros"	0.0596102
PGA	0.0595763
condominium	0.0585603
"Lion Nathan"	0.0583638
"Fletcher Forests"	0.0580449
"Olympic Club"	0.0576964
"Royal Birkdale"	0.0575554
dwelling	0.057115
"World University Games"	0.0570734
"carriage house"	0.0570029
"Sky TV"	0.0559277
Castle	0.0557997
"Players Championship"	0.0551616
Wimbledon	0.0550011
"Pan Am Games"	0.0522246
Maurier	0.0519577
"Southwest Missouri State"	0.0519386
"office building"	0.0517974
"apartment building"	0.0515114
"New York Film Festival"	0.0503032
Indy	0.0500147
colonizer	0.0499846
"St. Andrews"	0.0495048
loft	0.0494899
"Barcelona Olympics"	0.0490879
"Indian Wells"	0.0488994
Pinehurst	0.0488168
"trading post"	0.0487834
"Olympic Winter Games"	0.0487569
"apartment house"	0.0486871
"New York City Marathon"	0.0486669
"Sam Snead"	0.0483683
"News Corp"	0.0482877
condo	0.048109
Lobos	0.0479269
"Brierley Investment"	0.0478966
"Air New Zealand"	0.04787
"Buick Classic"	0.0478368
Warehouse	0.0476078
"East Lake"	0.0473936
"Ryder Cup"	0.0471125
Pocono	0.0468618
"Pinehurst No. @"	0.046588
"Brierley Investments"	0.0465436
Fort	0.0464319
Tower	0.046329
"European Championships"	0.0462071
"sea captain"	0.0460905
firehouse	0.0456177
Buick	0.0456141
"Grammy Awards"	0.0454709
"Olympic Games"	0.0453954
"Barcelona Games"	0.0451983
TPC	0.0449412
"log cabin"	0.0448255
"Thomas Cup"	0.0446066
"Boston Marathon"	0.0445847
Chateau	0.0444726
"World Table Tennis Championships"	0.0438548
"Grand Prix"	0.0438439
"Pan American Games"	0.0437897
"U.S. Senior Open"	0.0435391
"Indy @@@"	0.0435328
"World Athletics Championships"	0.0434432
"sailing ship"	0.0433918
penthouse	0.0433867
"Oklahoma State"	0.0432687
tourney	0.0432291
edifice	0.0432215
ranch	0.0430198
"Lambeau Field"	0.0429705
Daytona	0.0428457
"country house"	0.0427815
"Gold Cup"	0.0427516
barn	0.0427012
"Daytona @@@"	0.0426776
Lighthouse	0.0425501
Telstra	0.0423306
"Copa America"	0.0423104
Indianapolis	0.0422395
manse	0.0421562
manor	0.0421177
"Commonwealth Bank of Australia"	0.0420095
"Italian Open"	0.0419422
"Sundance Film Festival"	0.0419034
"Gene Sarazen"	0.0417504
Hoosier	0.0416134
Valderrama	0.0414969
atrium	0.0411848
"mobile home"	0.0409226
"Lipton Championships"	0.0408918
TCU	0.0408548
estate	0.0403667
"Brickyard @@@"	0.0402399
"Golden State"	0.0402394
hacienda	0.0402302
gamecock	0.040056
))
("Colonial Williamsburg" (desc 2060.13) (sims
"Dulles International Airport"	0.110474
"West Lake"	0.076088
"ABC Sports"	0.0684068
"William Morris"	0.0665248
"Universal Studios"	0.0635005
"George Mason University"	0.0621752
"Diamond Mountain"	0.061167
"Chez Panisse"	0.0610569
"Whitney Museum of American Art"	0.0582863
Yosemite	0.0579541
"Stony Brook"	0.0556745
PATHFINDER	0.0548316
Massport	0.0547566
Loews	0.0545794
"Bell Labs"	0.0538356
"Arlington National Cemetery"	0.052592
Marketspan	0.052525
"Conde Nast"	0.0524149
"Disney World"	0.0510559
"Fort Worth-Dallas"	0.0505303
Kupang	0.0494272
hooter	0.0487503
Xian	0.0486604
Kidder	0.0485049
Quetta	0.0482975
"Levi Strauss &AMP; Co."	0.0482695
"Salomon Brothers"	0.0478021
Disneyland	0.0476174
Acropolis	0.0472846
Luxor	0.0469377
"McKinsey &AMP; Co."	0.0465946
PictureTel	0.0465528
"Potala Palace"	0.0465415
"employment agency"	0.0462659
"Los Alamos"	0.0461446
"Pottery Barn"	0.0461031
"Film Forum"	0.0459201
Zhangjiajie	0.0459062
Tanglewood	0.0458799
Branson	0.0458652
"botanical garden"	0.045682
"Merrill Lynch &AMP; Co."	0.0453021
Lego	0.045156
"Mount Vernon"	0.0449901
Jayapura	0.0448391
Killington	0.044753
Charikar	0.0447053
"John F. Kennedy Library"	0.0446347
"Trojan Horse"	0.0446275
Tallinn	0.0440996
Juilliard	0.0437469
HUHHOT	0.0436705
UTEP	0.0432468
"St. George"	0.0430294
"District @@"	0.042934
"machine shop"	0.0428922
Ljubljana	0.0428404
"Covent Garden"	0.0428283
"Texas Tech University"	0.0427956
Ritz-Carlton	0.0426132
PATNA	0.042412
"Office @@"	0.0422793
"Garden State"	0.0422544
Flagstaff	0.042224
Netcenter	0.0422098
"Science City"	0.0421464
Alcatraz	0.0421242
EDS	0.042055
Baotou	0.0419464
"Grand Canyon"	0.0418394
Shangri-la	0.0415945
Starwood	0.0411389
"CBS SportsLine"	0.0410182
"National Science Foundation"	0.0409127
"Andersen Consulting"	0.0408795
"bomb site"	0.0407105
"Johnson Space Center"	0.0406711
Paducah	0.0405926
Greenbrier	0.040553
"Bell Laboratories"	0.0403422
ritz	0.0403369
"Dianchi Lake"	0.0401814
Conde	0.0401188
"Peace Corps"	0.0400195
"matinee idol"	0.0400004
))
(colonialism (desc 8818.85) (sims
imperialism	0.196844
colonization	0.138128
oppression	0.137764
slavery	0.131783
Fascism	0.128671
apartheid	0.12054
Nazism	0.120323
segregation	0.111633
subjugation	0.110613
sexism	0.108852
colonialist	0.108687
racism	0.107485
colonizer	0.102332
hegemonism	0.0923391
tyranny	0.0912884
"white supremacy"	0.0907242
communism	0.0867551
chauvinism	0.0861427
serfdom	0.0853742
"Jim Crow"	0.0843268
McCarthyism	0.0838435
totalitarianism	0.0807255
imperialist	0.0793867
Capitalism	0.0773527
bigotry	0.0772438
domination	0.0748402
"power politics"	0.0747091
discrimination	0.0730383
occupation	0.0727807
injustice	0.0724987
aggression	0.072371
dictatorship	0.0721566
anti-Semitism	0.0721047
intolerance	0.071
consumerism	0.0696924
hegemony	0.0680695
fundamentalism	0.0678941
repression	0.0672951
poverty	0.0665211
xenophobia	0.0664719
prejudice	0.0663484
invader	0.0662067
"slave trade"	0.0659375
homophobia	0.0656762
splittism	0.0649848
militarism	0.064483
tribalism	0.0635513
isolationism	0.0634203
illiteracy	0.0628326
authoritarianism	0.0625198
expansionism	0.062217
superstition	0.0620623
colonist	0.0609994
nationalism	0.0605924
protectionism	0.0596894
pandemic	0.0593893
separatism	0.0592176
strife	0.0588302
servitude	0.0580593
inequality	0.0580159
conquest	0.0573478
"Cold War"	0.057005
persecution	0.0569675
hatred	0.0562475
exploitation	0.0557085
backwardness	0.055465
extremism	0.0548474
"Ottoman Empire"	0.0548408
aristocracy	0.0541121
liberalism	0.0540864
"organized crime"	0.0538526
invasion	0.0535284
protectorate	0.0527434
arrogance	0.0525093
internment	0.0524266
"world war"	0.0524128
sectarianism	0.0520472
terrorism	0.0519537
autocracy	0.0518162
monarchy	0.0518042
greed	0.0516238
aggressor	0.0516212
civilization	0.0513812
Elitism	0.0512299
"inferiority complex"	0.0512215
warfare	0.0501766
blackmail	0.0495336
nationhood	0.0495288
radicalism	0.0494303
scourge	0.049116
snobbery	0.0489772
eugenics	0.0488771
isolation	0.0486508
"sea captain"	0.0486226
prostitution	0.0484485
polio	0.0481496
"Julius Francis"	0.0481406
insurgency	0.0479732
bondage	0.0479207
modernism	0.0477128
"drug abuse"	0.0476677
"Khmer Rouge"	0.0476424
"drug trade"	0.0476371
nepotism	0.0472528
famine	0.0470845
"free love"	0.0466938
piracy	0.0464068
socialism	0.0461434
desertification	0.0459952
forefather	0.0459561
censorship	0.0455572
graft	0.0455148
hunger	0.0452093
"drug trafficking"	0.0451688
holocaust	0.0451295
humiliation	0.0450083
"arms race"	0.0448476
misogyny	0.044353
empire	0.0443471
instability	0.044239
brutality	0.0438712
lynching	0.043834
correctness	0.0433458
carmakers	0.0433129
hypocrisy	0.0433024
"business cycle"	0.0432861
misrule	0.0432598
ignorance	0.0432437
rebellion	0.0431855
"Vietnam War"	0.0431226
nobleman	0.0430552
genocide	0.0430119
mistreatment	0.042803
interference	0.0426528
hostility	0.0426141
Hitler	0.0424053
enmity	0.0422931
"language school"	0.0419709
thuggery	0.0419676
"merchant ship"	0.0419515
"army engineer"	0.0418899
displacement	0.0416248
"parliamentary democracy"	0.0414966
ancestry	0.0413758
terror	0.0412988
Zionist	0.041175
mismanagement	0.0409669
dispossession	0.040963
self-censorship	0.0408806
intimidation	0.0406079
mutilation	0.040596
varietals	0.0405403
tumult	0.0404625
"sphere of influence"	0.0404348
cruelty	0.0404259
homelessness	0.040404
underdevelopment	0.0403346
deceit	0.0402241
"naval officer"	0.0402168
appeasement	0.0401738
"class struggle"	0.0400876
))
(colonialist (desc 6253.98) (sims
colonizer	0.174319
colonist	0.126168
imperialist	0.113139
colonialism	0.108687
invader	0.0928345
militarist	0.0903084
imperialism	0.0792904
"sea captain"	0.0745221
colonization	0.0732674
aggressor	0.0723173
conquistador	0.0650716
"Khmer Rouge"	0.0605232
aristocracy	0.0605146
nobleman	0.0602029
conqueror	0.0601972
apartheid	0.0598195
missionary	0.0589287
"lynch mob"	0.0579597
"Nazi Germany"	0.0579266
overlord	0.0569759
oppression	0.0569525
Soviets	0.0557974
ruler	0.0552405
"royal family"	0.055009
Hands-off	0.0542449
settler	0.0537888
Mobutu	0.0528619
reactionary	0.0524655
protectorate	0.052322
"common law"	0.051323
"Ottoman Empire"	0.0512094
"army engineer"	0.0509818
Soviet	0.0490993
forefather	0.0486999
"laissez faire"	0.0481846
take-no-prisoners	0.0472637
Stalinist	0.0460419
segregationist	0.0459722
craftsmen	0.0455336
"sailing ship"	0.045487
lemming	0.0453013
fascist	0.0450285
Bolshevik	0.0446887
"language school"	0.0445117
communism	0.0430872
occupier	0.0430493
paratrooper	0.0430159
dictator	0.0427693
Explorer	0.042604
Fascism	0.0423907
"manor house"	0.0423829
"Jim Crow"	0.0422443
junta	0.0422151
"Frank Bruno"	0.0418538
Hitler	0.0413364
superpower	0.0413002
expatriate	0.0411591
Ottoman	0.0410274
Magistrate	0.0408701
Portuguese	0.0407437
geisha	0.0406694
protectionist	0.0404196
))
(colonias (desc 1932.4) (sims
shantytown	0.118619
slum	0.092477
Walkerton	0.0776613
"trailer park"	0.0722781
subdivision	0.0692074
Princeville	0.0679827
"housing development"	0.0661367
tenement	0.0657248
barrios	0.0644589
low-income	0.060999
illegals	0.0605746
TARBORO	0.0602269
shanty	0.0600113
Chappaqua	0.059575
"Happy Valley"	0.0584087
Scarsdale	0.0580758
encampment	0.0580732
Piedmont	0.057335
Nepalese	0.0569191
"telephone booth"	0.0566643
"Forest Hills"	0.0566428
Brockton	0.055881
Sedona	0.055719
uninsured	0.05556
"Boynton Beach"	0.0552975
MSC	0.0550581
Wallingford	0.0544632
Arab-Americans	0.0544142
waterworks	0.0541779
"New Canaan"	0.0538636
Clifton	0.0538071
Chatsworth	0.0529181
"Round Rock"	0.0527086
"Jackson County"	0.0526547
"Newport Beach"	0.0524437
"disaster area"	0.0523789
megaplexes	0.0523064
"log cabin"	0.0521113
"American South"	0.0520604
borough	0.0520331
"Hollywood Hills"	0.0519709
Igloo	0.0518559
EPZs	0.0517855
Carmel	0.0516626
"Marin County"	0.0506989
"East Los Angeles"	0.0502573
Ridgewood	0.0498324
"Suzhou Industrial Park"	0.0498145
picketers	0.049548
Astoria	0.0494909
Matamoros	0.049465
"Studio City"	0.0492367
Humvee	0.0491667
"Huntington Beach"	0.0491425
"Delray Beach"	0.0488302
Queens	0.0485112
"Silver Spring"	0.0481387
"battle line"	0.0478219
Englewood	0.0477837
crazies	0.0475807
"zip code"	0.0473124
Carthage	0.0472852
"Flagler County"	0.0472366
"Eastern Slavonia"	0.0470651
"Boland Hall"	0.0468552
Swazi	0.0468464
Riverdale	0.046836
snowflake	0.0467998
Malisevo	0.0466566
Redding	0.0463235
hostel	0.0462932
Bloomfield	0.0462125
"Washington Heights"	0.0461191
hovel	0.046019
"Outer Banks"	0.046009
"East Harlem"	0.0459118
Eureka	0.0459038
multi-ethnic	0.0458647
"Sonoma County"	0.0458349
"Sun City"	0.0458104
"Sub-Saharan Africa"	0.045713
Encino	0.0455639
"North Beach"	0.0454962
Izmit	0.0454673
"High Point"	0.0454344
MP@s	0.0454216
Pecos	0.0454175
Montclair	0.045332
"New Territories"	0.0452243
Sausalito	0.0446857
Falmouth	0.0445747
Soweto	0.0443238
Jonesboro	0.0440188
heatwave	0.0437697
"East New York"	0.043698
"Bergen County"	0.0436744
ICU	0.0436439
"Battery Park City"	0.0434984
Laramie	0.0430671
"Central American nation"	0.0429767
lean-to	0.0429072
mountaineer	0.0428934
Westfield	0.0428789
"water hyacinth"	0.0428128
Xoom.com	0.0426776
"Saratoga Springs"	0.0426653
atoll	0.0425945
MSAR	0.0425429
"Paradise Valley"	0.0424249
Tarzana	0.0423071
Bedford-Stuyvesant	0.0422622
Covington	0.0422459
"mind's eye"	0.0421071
"South Bronx"	0.0418404
"West Orange"	0.041736
"Bosnian Croats"	0.0416661
"drug case"	0.0416511
cofferdam	0.0416247
"skin cell"	0.0415486
Norwich	0.041514
"church member"	0.0414866
Killington	0.0414705
Bangor	0.0413429
"Pacific Palisades"	0.0412629
ARCADIA	0.0412275
"here and now"	0.0411787
"Sussex County"	0.0410752
vintner	0.0409779
"South San Francisco"	0.0409124
"Hyde Park"	0.0408789
"Southern Democrats"	0.0408425
collider	0.0407768
"Florida Keys"	0.0406252
Tarrytown	0.0405505
Dutchmen	0.0405197
"Empire State"	0.0405062
Plano	0.040494
Chatham	0.0404412
"pumping station"	0.0404251
Bosnians	0.0403996
lobstermen	0.0403627
"Westlake Village"	0.0403573
"police state"	0.040159
duplex	0.0401469
Gloucester	0.0401402
Macedonian	0.0401345
"New South Wales"	0.0401133
"public toilet"	0.0400659
Alpharetta	0.0400282
))
(colonist (desc 5501.54) (sims
colonizer	0.129686
colonialist	0.126168
settler	0.0937396
colonization	0.0756722
"sea captain"	0.0745507
aristocracy	0.0744242
invader	0.0732973
holidaymaker	0.0727643
imperialist	0.0722722
Explorer	0.0718016
emigrant	0.0693454
missionary	0.0666088
"merchant ship"	0.0663307
"sailing ship"	0.0659029
nobleman	0.0650458
firemen	0.0619442
colony	0.0616953
Nepalese	0.0616423
musicologist	0.0615633
colonialism	0.0609994
picketers	0.0604726
Malay	0.0600051
expatriate	0.0598444
workmen	0.0598015
Ecuadoreans	0.0593107
slave	0.0592296
ancestor	0.0590291
Hawaiians	0.0588996
Fijian	0.0588122
"army engineer"	0.0578691
forebear	0.057674
"Christine Arron"	0.0574012
skydiver	0.0571402
"coal miner"	0.0569534
squatter	0.0566335
lass	0.0562284
Spaniard	0.0558353
"plantation owner"	0.0556318
"slave ship"	0.0554222
Israelites	0.055023
vacationer	0.0549054
Haitian	0.0546194
Aboriginal	0.0541023
"North Africans"	0.0540906
Kurds	0.0538975
migrant	0.0536053
"Sri Lankans"	0.0535126
marcher	0.0535066
aristocrat	0.0534095
adventurer	0.0533364
inhabitant	0.0532609
ex-combatants	0.0526671
Quakers	0.0526217
"army officer"	0.0524921
"man of letters"	0.0523034
Fishermen	0.052223
"Albanian Kosovars"	0.0521815
schoolchildren	0.0520577
"prison guard"	0.0520405
peasant	0.0519273
botanist	0.0519065
segregationist	0.0518727
balloonist	0.0518483
paratrooper	0.0513314
"manor house"	0.0508513
"North Koreans"	0.0507405
Cambodian	0.0504282
sailor	0.0504048
rower	0.050271
consul	0.0500697
Mozambican	0.0500491
cager	0.0498879
"au pair"	0.0498448
"Bengal tiger"	0.0497489
"common law"	0.0496602
miner	0.0495497
traveller	0.0495141
carmakers	0.0493988
conqueror	0.0493243
Industrialist	0.0492464
peacekeeper	0.049213
soliders	0.0491317
rioter	0.0491303
villager	0.0490312
footballer	0.0488772
churchgoer	0.0487292
Ethiopian	0.0486854
"landscape painting"	0.0486785
evacuee	0.0486005
ancestry	0.0485055
clergyman	0.0484087
Turk	0.0482321
Ugandan	0.048185
cannonball	0.0481821
mercenary	0.0480582
"royal family"	0.0479977
backpacker	0.0479674
commando	0.0479395
naturalist	0.0476699
"landscape architect"	0.0473949
yachtsman	0.0473015
deportee	0.0472641
spikers	0.0471805
evangelicals	0.0471482
climber	0.0467912
gentry	0.046786
Tibetans	0.0467364
distiller	0.0467267
neo-Nazis	0.0466191
experimenter	0.0466068
conquistador	0.0466035
"dock worker"	0.0466034
PBSI	0.046593
laborer	0.0465027
rustler	0.0464997
"church member"	0.0463923
Liberian	0.0463244
guerilla	0.0461532
centenarian	0.0461252
whaler	0.0461197
Austrian	0.0459388
"industrial revolution"	0.0459261
registrant	0.0459146
mourner	0.0458901
firefighters	0.045831
Athenian	0.0458044
Chinese-Indonesians	0.0457648
stone-throwers	0.0456698
"Kosovo Serbs"	0.0456636
lexicographer	0.0456538
Lithuanians	0.0456214
"right whale"	0.0455961
"Branch Davidians"	0.0455775
novelist	0.0455604
onlooker	0.0455391
overlord	0.0455344
infantrymen	0.0454098
countrymen	0.0453928
oddsmakers	0.04533
Beijingers	0.0451977
submariner	0.0451725
"European Jews"	0.0451206
Mathews	0.0450947
"Iraqi Kurds"	0.0450732
"military personnel"	0.0450444
burgher	0.0449445
Moslem	0.0449334
vintner	0.0449303
"Cuban Americans"	0.0449148
Vietnamese	0.0449072
pilgrim	0.0448197
Briton	0.0447318
"Turkish Cypriots"	0.0446692
"military man"	0.0446518
returnees	0.0445909
talkie	0.0444114
businesspeople	0.0443408
Peruvian	0.0443197
cabinetmaker	0.0441711
worshipper	0.0441332
Negro	0.0441103
Iowan	0.0440595
"union member"	0.0439412
bettor	0.0438927
leftist	0.0437625
Singaporean	0.0436645
"weather forecaster"	0.0435812
courtesan	0.0435717
mutineer	0.0434166
"racing car"	0.0433577
cabby	0.0432924
Lebanese	0.0432756
"Christopher Columbus"	0.0432458
"David Irving"	0.043201
"intelligence agent"	0.0431865
mezzo-soprano	0.0431786
congregants	0.0431658
Soviets	0.0431585
householder	0.0429824
Tsvangirai	0.0429212
"business leader"	0.042901
militiamen	0.0429008
archaeologist	0.0428041
winemaker	0.0427638
wellwisher	0.0427479
Koreans	0.0426763
lobstermen	0.04262
Timorese	0.0425973
enterpreneurs	0.0424841
Zimbabwean	0.0423843
Mormon	0.0423804
Impressionism	0.0423218
"ballet company"	0.042319
Fort	0.042313
Montenegrins	0.0422544
homeowner	0.0421422
farmworkers	0.0420765
monk	0.0420753
"military police"	0.0420542
"factory worker"	0.0420516
))
(colonization (desc 5864.66) (sims
colonialism	0.138128
colonizer	0.110825
annexation	0.0945357
conquest	0.0931574
occupation	0.0914237
imperialism	0.0884504
subjugation	0.088274
enslavement	0.0881561
usurpation	0.0858098
"slave trade"	0.0808366
invasion	0.0807089
domination	0.079519
expansionism	0.0758511
colonist	0.0756722
colonialist	0.0732674
intifada	0.0730372
oppression	0.0694571
militarism	0.0673385
slavery	0.0647935
aggression	0.0642232
weaponization	0.0632432
overlord	0.0630815
destabilization	0.0597872
"basketball season"	0.0593323
liberation	0.0583626
"Nikkei Stock Average"	0.0580809
imperialist	0.05615
Balkanization	0.0557132
"Opium War"	0.0545554
industrialization	0.0537488
pacification	0.0534009
unification	0.0528512
"surprise attack"	0.0526598
exploitation	0.0523626
Consulate-General	0.0521028
militarization	0.0516229
beautification	0.0515568
"language school"	0.0514934
"Cultural Revolution"	0.0513907
blackmail	0.0509182
"rise to power"	0.0503491
"Iran-Iraq War"	0.0498695
encroachment	0.0483887
segregation	0.0477182
hegemony	0.0474616
Explorer	0.0473598
"trade policy"	0.0471843
invader	0.0471713
occupier	0.0470034
"debt problem"	0.0464189
conquistador	0.0463232
urbanization	0.0462162
"white supremacy"	0.0461765
confiscation	0.0459307
assimilation	0.0455195
injustice	0.0454383
conqueror	0.045201
empress	0.0450082
dictatorship	0.0444346
extraction	0.0443107
repression	0.0442032
apartheid	0.0441918
ancestry	0.0441463
Un-yong	0.0438642
secession	0.0436165
"Hidetoshi Nakata"	0.0433577
protectorate	0.043294
commercialization	0.0431671
tyranny	0.0431582
"sea captain"	0.0430856
aristocracy	0.042836
diaspora	0.0428333
nobleman	0.0426874
rationing	0.0425856
impoverishment	0.0425192
marginalization	0.0424809
papacy	0.0424668
conscription	0.0424634
emancipation	0.0420515
inquisition	0.0419258
censorship	0.0418774
redevelopment	0.0417958
"bear market"	0.0413716
"power politics"	0.04123
reunification	0.0409513
Ostracism	0.0408941
revitalization	0.0408372
"Official Development Assistance"	0.0407797
Arianespace	0.0407761
persecution	0.0407212
"defense policy"	0.0406962
backwardness	0.0406933
"first tour"	0.0406708
"gold rush"	0.0406239
warfare	0.0404703
"legal code"	0.0404042
halves	0.0403722
infringement	0.0403049
hegemonism	0.0403018
decimation	0.0402884
sickness	0.0402432
disinvestment	0.0400436
carmakers	0.0400405
reallocation	0.0400134
))
(colonizer (desc 2901.71) (sims
colonialist	0.174319
colonist	0.129686
colonization	0.110825
colonialism	0.102332
"sea captain"	0.0986012
invader	0.092794
conquistador	0.084131
overlord	0.0841129
nobleman	0.0776854
"sailing ship"	0.0769883
aristocracy	0.0758112
imperialist	0.0715268
"legal code"	0.0702604
"language school"	0.0669318
occupier	0.0666821
missionary	0.0663197
protectorate	0.0648486
imperialism	0.0643814
paratrooper	0.0635326
conqueror	0.0630294
"royal family"	0.0625816
Explorer	0.062063
varietals	0.060304
"merchant ship"	0.0598204
consul	0.0592136
enterpreneurs	0.05862
"Francis Bacon"	0.0583302
breadbasket	0.0571906
Bolshevik	0.0568646
craftsmen	0.0566723
"army engineer"	0.0563044
"trading post"	0.0561066
spikers	0.0559891
"Frank Bruno"	0.053744
proverb	0.0535011
"naval officer"	0.0534129
"Inge de Bruijn"	0.0530793
anarchist	0.0530356
Consulate-General	0.0527647
musicologist	0.0524753
"Francisco Franco"	0.0523198
Zenith	0.0514335
"slave ship"	0.0510944
"El Mundo"	0.0505136
ancestry	0.0500149
counterfeiter	0.0496469
oddsmakers	0.0496238
governess	0.0494403
"Louise Woodward"	0.0493782
"Nazi Germany"	0.0493636
adventurer	0.0492879
modernism	0.0492126
"Luis Figo"	0.0491568
"secret agent"	0.0491033
coastguard	0.048719
throne	0.0484498
holidaymaker	0.048291
mugger	0.0476981
"Johan Cruyff"	0.0476248
carmakers	0.047581
expatriate	0.0473932
mathematician	0.0472811
arsonist	0.0472736
cartographer	0.0467277
cager	0.0465339
seafarer	0.0463867
"Justice Ministry"	0.0463362
lass	0.0461331
"industrial revolution"	0.0460041
"manor house"	0.0458122
"police boat"	0.0456886
Balkanization	0.0454489
"Marco Polo"	0.0453426
mercenary	0.0453168
gentry	0.0452975
Zionist	0.0452727
conquest	0.0451968
bullfrog	0.0450663
statesman	0.0450623
emigrant	0.0449605
fascist	0.0449563
yachtsman	0.044872
oppressor	0.0448144
schoolchildren	0.0447445
"military attache"	0.0444437
"Michael Portillo"	0.0442561
"air force officer"	0.0441841
aggressor	0.0439451
jurist	0.0439213
saboteur	0.0437263
"Felipe Gonzalez"	0.0434438
"upper class"	0.04344
Admiral	0.043411
"racing car"	0.0433655
"Boutros Boutros Ghali"	0.0433471
squatter	0.0433246
"Antonio Guterres"	0.0433063
rioter	0.0432857
"Ruud Gullit"	0.0432505
"plantation owner"	0.0432143
"Idi Amin"	0.042728
Nostradamus	0.0427059
rightist	0.0426086
swindler	0.0425355
"Fourth World Conference"	0.0425198
"Lou Dobbs"	0.0424039
Consul-General	0.0423842
Gendarme	0.0423649
"Oliver McCall"	0.0421716
intruder	0.0421715
"church member"	0.0421468
"sparkling wine"	0.0421439
"chief of state"	0.0420819
"slave trade"	0.0420121
footballer	0.0417955
Impressionist	0.0417882
Mobutu	0.041749
cabinetmaker	0.0417054
rustler	0.0416526
portraiture	0.0415552
"Iwan Thomas"	0.0413347
"luxury liner"	0.041273
Hirohito	0.041184
burgher	0.0411739
courtesan	0.0409249
inquisition	0.0406665
expansionism	0.0406177
"Hack Wilson"	0.0405794
Soviets	0.040508
"art historian"	0.0404732
dramatist	0.0404044
Renamo	0.0403645
"Noureddine Morceli"	0.0402935
"U.S. Administration"	0.0402637
operetta	0.0402383
))
(colonnade (desc 1021.13) (sims
processional	0.0926246
portico	0.0825387
"waiting area"	0.0790303
Ellipse	0.0728911
manse	0.0677566
"Tyrannosaurus rex"	0.067189
statuary	0.0627135
northeastward	0.0618659
sarcophagus	0.0600198
"flight of stairs"	0.058508
"sailing ship"	0.0577022
footbridge	0.0575472
viaduct	0.0573716
"bank building"	0.0573263
Palazzo	0.0553756
finds	0.054039
"pedestrian bridge"	0.0534114
"Aaron Sorkin"	0.0526006
"stone wall"	0.0512229
helix	0.0505482
"Space Needle"	0.0489062
pushcart	0.048729
snit	0.0478825
fixer	0.0478778
sunsets	0.0472018
Horace	0.0466036
"matinee idol"	0.0461922
colloquy	0.0461504
beak	0.0458573
pagoda	0.0452219
"piece of cloth"	0.0448011
"bell tower"	0.0447456
gliding	0.0444148
"white line"	0.0443514
lattes	0.0440248
headstone	0.0438381
spacewalks	0.0437328
whammy	0.0434306
"line of products"	0.0432079
minesweeper	0.0431886
escalator	0.0431347
Nero	0.0430586
"corner kick"	0.0423819
"Ferris wheel"	0.0420663
latte	0.0420026
suddenness	0.0419286
"engine failure"	0.0419197
submersible	0.0415545
jailer	0.0407506
wainscoting	0.0405285
smooch	0.0404096
Bathhouse	0.040055
"guessing game"	0.0400134
))
(colony (desc 53943.2) (sims
territory	0.119469
"East Timor"	0.116729
"African nation"	0.111225
island	0.101206
"African country"	0.100132
country	0.0992699
Republic	0.0978777
region	0.0974421
nation	0.0954796
province	0.0894436
enclave	0.0889071
"Western Sahara"	0.0884003
Congo	0.0796882
homeland	0.0795681
village	0.0794876
Kingdom	0.078061
Aceh	0.0777071
state	0.076989
"Sierra Leone"	0.0753169
area	0.0744642
community	0.0737973
Lebanon	0.0735423
city	0.0726506
Macao	0.0723854
town	0.0721943
"South American country"	0.0719451
"Asian nation"	0.0710423
Taiwan	0.0707015
Algeria	0.0706988
Tibet	0.0703312
Angola	0.0701495
population	0.0695488
Cambodia	0.0694337
"Northern Ireland"	0.0689041
farm	0.0685142
"Asian country"	0.0685101
land	0.0682381
specie	0.0680931
Afghanistan	0.0679939
Kosovo	0.0678396
"Hong Kong"	0.0662755
Africa	0.0660706
Macau	0.0656862
Indonesia	0.0654698
outpost	0.0652867
countryside	0.0652728
Zaire	0.0652286
neighborhood	0.0651977
continent	0.0647729
"South American nation"	0.0647689
Liberia	0.0646723
Palestine	0.0646448
DRC	0.0641382
Guinea-Bissau	0.0640732
protectorate	0.0634745
Sudan	0.0634156
neighbor	0.063391
Europe	0.0632616
"Democratic Republic"	0.0627342
Mozambique	0.0626282
Haiti	0.0625193
district	0.0623036
resort	0.0622818
society	0.0619746
"East Jerusalem"	0.061963
Ethiopia	0.0619032
colonist	0.0616953
China	0.0616584
Bosnia	0.0613518
Burundi	0.0606725
"Middle East"	0.0605739
Somalia	0.0604239
south	0.0604224
Nigeria	0.0602108
"trading partner"	0.0601581
Colombia	0.0601108
"Central American country"	0.0600714
Cyprus	0.0598378
Kashmir	0.0592922
Chechnya	0.0588643
Albania	0.0588192
Russia	0.0587309
peninsula	0.058565
"South Africa"	0.0583841
empire	0.0580618
Mexico	0.0580496
Turkey	0.058016
Korea	0.0579447
"Golan Heights"	0.0578854
Namibia	0.0577022
"West Bank"	0.057591
"Democratic Republic of the Congo"	0.0575626
capital	0.0574157
Philippines	0.05736
economy	0.0573413
industry	0.057169
Golan	0.0571295
Balkans	0.0569683
destination	0.0569117
"European country"	0.0568235
Asia	0.0567643
archipelago	0.0566555
Timor	0.056565
"Holy City"	0.0564732
zone	0.0563876
"Irian Jaya"	0.05634
"Balkan country"	0.0563028
Fiji	0.0562825
"United States"	0.0561781
Senegal	0.0561259
America	0.0558896
habitat	0.0557122
"Latin America"	0.0555741
Ireland	0.055574
Yugoslavia	0.0554635
Pakistan	0.0554084
Israel	0.0551399
India	0.0551137
Egypt	0.05503
camp	0.0549429
factory	0.0548796
Peru	0.0546284
Britain	0.0546098
north	0.0545715
"Democratic Republic of Congo"	0.0545173
Thailand	0.0544554
commonwealth	0.0543857
Vietnam	0.0542924
Kuwait	0.0542508
haven	0.0539402
Poland	0.0537952
Serbia	0.0537895
France	0.0537299
port	0.0535816
Montenegro	0.0534491
"South Vietnam"	0.0531183
Iran	0.0531153
Honduras	0.0529784
Panama	0.0529661
"Soviet Union"	0.052932
culture	0.0527271
Czechoslovakia	0.0526981
Maluku	0.0526927
Lesotho	0.0525646
Uganda	0.0525337
"Puerto Rico"	0.0525032
Iraq	0.0524106
reef	0.0523388
Zambia	0.0523291
institution	0.0523286
"Central America"	0.0520949
Japan	0.0518602
church	0.0518156
Eritrea	0.0517199
JERUSALEM	0.0515492
bloc	0.0514401
"Irish Republic"	0.0512848
Guatemala	0.0511819
mainland	0.0510322
democracy	0.0510295
Cuba	0.0509791
museum	0.0508461
building	0.0507518
prefecture	0.0505061
Zimbabwe	0.0504724
"Southeast Asia"	0.0504577
Mindanao	0.0503913
Bulgaria	0.0502716
"Sri Lanka"	0.0502532
Okinawa	0.0502374
county	0.0501525
Rwanda	0.0501095
"rural area"	0.0499272
metropolis	0.0499052
Malaysia	0.04969
organization	0.049656
"small town"	0.0495754
"Guinea Bissau"	0.0495335
Bosnia-Herzegovina	0.0495048
Bangladesh	0.0494596
Yemen	0.0494366
"national park"	0.0494034
Portugal	0.049194
Comoros	0.0491494
Hungary	0.0490851
Chile	0.0490458
"United Kingdom"	0.049042
Dili	0.0489308
Nicaragua	0.0488697
suburb	0.0488594
Kenya	0.0488462
nest	0.0488357
Monastery	0.0488157
exporter	0.0487373
university	0.0486933
Ambon	0.0485359
Macedonia	0.0484485
commune	0.0484313
"El Salvador"	0.0483491
valley	0.0480981
))
(color (desc 148380) (sims
shade	0.158443
hue	0.157205
texture	0.148405
flavor	0.148194
blue	0.140425
Pink	0.130654
Yellow	0.129794
red	0.129717
style	0.12545
purple	0.122245
tone	0.118008
shape	0.115837
image	0.112834
light	0.112501
flower	0.112431
fabric	0.110748
palette	0.108101
design	0.107088
size	0.101534
colour	0.101364
pattern	0.0993074
sound	0.0991451
"skin color"	0.0976934
green	0.0973997
stripe	0.0967212
Orange	0.0961645
hair	0.0961499
white	0.0952288
quality	0.0949566
taste	0.0949121
beauty	0.0948455
paint	0.0945361
gray	0.0930528
cloth	0.0928588
look	0.0926698
character	0.0919692
logo	0.0915595
picture	0.0911147
"color scheme"	0.090376
dress	0.0901677
personality	0.088881
aroma	0.0880799
pastel	0.0879608
variety	0.0878227
uniform	0.0877288
emotion	0.0873564
type	0.0872282
smell	0.0865011
costume	0.0863669
makeup	0.0861376
piece	0.0855914
painting	0.0847117
shirt	0.0845371
music	0.0843963
black	0.0841854
print	0.0835451
foliage	0.0834268
coat	0.0822159
glow	0.0818836
form	0.0809301
layer	0.0808543
content	0.0807355
ethnicity	0.0804244
skin	0.0803816
name	0.0803673
characteristic	0.0800636
Outfit	0.079767
Lighting	0.0795208
background	0.0795071
face	0.0792881
fashion	0.0790024
object	0.0785991
language	0.0785539
jacket	0.0782768
photograph	0.0782678
ribbon	0.0782065
voice	0.0780962
bloom	0.0779009
feature	0.077813
humor	0.0775702
gender	0.077497
detail	0.0764394
rhythm	0.0763196
scent	0.0760796
intensity	0.0757275
structure	0.075218
graphics	0.0750351
scene	0.0744775
depth	0.074456
art	0.0738974
Fragrance	0.073876
motif	0.0737432
collection	0.0736161
skirt	0.0735964
flag	0.0734333
culture	0.0733877
accent	0.0731322
theme	0.072673
meaning	0.0726071
wine	0.0725961
pigment	0.071762
leaf	0.0717373
Clothing	0.071606
photo	0.071598
blossom	0.0714628
word	0.0714086
mood	0.0712654
elegance	0.0711841
technique	0.070863
composition	0.0707073
decoration	0.0706295
talent	0.070355
drawing	0.0702207
display	0.0701253
material	0.0701158
decor	0.0700119
ingredient	0.0699738
sweetness	0.0699541
vision	0.0699244
text	0.0698744
"black and white"	0.0697323
landscape	0.0696839
dot	0.0696483
sex	0.0696206
model	0.0695947
sweater	0.0695626
patch	0.0695406
gown	0.069434
substance	0.0691215
mix	0.0690932
kind	0.069003
number	0.0689884
dish	0.0689621
thickness	0.0688103
charm	0.0684979
dimension	0.0684496
Song	0.0683526
symbol	0.0682274
leather	0.0681233
hat	0.0680875
imagery	0.0676965
shoe	0.0675669
format	0.067543
fruit	0.0673846
touch	0.0673262
idea	0.067203
lavender	0.0671522
weight	0.0671083
stain	0.0669499
clarity	0.0669061
spirit	0.0668959
accessory	0.0668593
element	0.0668587
scenery	0.0668311
silhouette	0.066829
nature	0.066487
interior	0.0664731
suit	0.0663684
story	0.0662429
melody	0.0661829
energy	0.0660945
speed	0.0660666
religion	0.0659473
atmosphere	0.0658261
fur	0.0656439
bead	0.0655528
thing	0.0652857
silk	0.0651163
performance	0.065089
Brown	0.065067
warmth	0.0650621
life	0.0648785
surface	0.0648607
sculpture	0.0647938
location	0.0647056
eye	0.0646723
T-shirt	0.0646657
richness	0.0645393
architecture	0.0644547
line	0.0642241
portrait	0.064212
excitement	0.0640039
bag	0.0638457
box	0.0637552
furniture	0.0636341
length	0.0634959
memory	0.0634673
robe	0.0634347
attitude	0.0634249
brand	0.0633947
description	0.0633779
view	0.0633757
history	0.0632194
glass	0.063179
button	0.0630994
layout	0.0629528
wit	0.0629454
nuance	0.0626547
tradition	0.0626386
food	0.0626205
))
("color scheme" (desc 5971.71) (sims
hue	0.0842847
decor	0.0808337
palette	0.075062
typeface	0.0664651
livery	0.0628794
"yellow light"	0.0624188
shade	0.0620202
silhouette	0.0617831
purple	0.0612204
beret	0.0590213
stripe	0.0589113
grille	0.0584339
pastel	0.0568981
"pants suit"	0.0567886
plaid	0.0562654
carpeting	0.0557107
iBook	0.0547445
logo	0.0541495
exterior	0.0537711
"nail polish"	0.0535361
satin	0.0509218
streamer	0.0507446
"line of work"	0.0503305
violet	0.0501902
upholstery	0.0501576
tile	0.0499088
font	0.0497932
"cocktail dress"	0.0497353
stripes	0.0493057
"Toyota Corolla"	0.0491475
turquoise	0.0490376
furnishings	0.0490015
visuals	0.0484926
cinematography	0.0483451
carpet	0.0474485
Lighting	0.047414
windbreaker	0.0474077
"tea set"	0.0464355
denim	0.0455594
teal	0.0453394
wallpaper	0.0453337
layout	0.0452052
sweater	0.0451657
texture	0.0451459
wristband	0.0448848
tangerine	0.0447562
"yellow flag"	0.0447554
cladding	0.0446047
"Lincoln Town Car"	0.044584
tint	0.0443916
plumage	0.0442365
"bow tie"	0.0441151
sofa	0.0439972
tarpaulin	0.0438424
pigment	0.0438086
"Jeep Cherokee"	0.0432119
brushwork	0.0431365
silk	0.0426593
fuchsia	0.0426285
coloring	0.0424985
eyeshadow	0.042323
cardigan	0.042235
beige	0.0421759
"duffel bag"	0.0418615
"hot pants"	0.0417194
smock	0.0415745
setup	0.0415498
chartreuse	0.0412488
wardrobe	0.0410212
"polo shirt"	0.0409988
jumpsuit	0.0407972
confetti	0.040762
decoration	0.0406408
coverall	0.040615
"line of business"	0.0405513
"military uniform"	0.0404873
Fragrance	0.0403664
storyline	0.040317
playlist	0.0402883
bandana	0.0401482
))
("color television" (desc 2928.91) (sims
"tv set"	0.218308
air-conditioner	0.18969
"washing machine"	0.188925
"television set"	0.183337
"microwave oven"	0.177193
"electric fan"	0.156313
conditioner	0.14889
stereo	0.143955
camcorders	0.139234
"cassette recorder"	0.133361
"CD player"	0.130649
HDTV	0.130505
dishwasher	0.127173
"home appliance"	0.12523
CRT	0.124602
"sewing machine"	0.118726
camcorder	0.118697
refrigerator	0.11865
"household appliance"	0.118451
VCR	0.118023
toaster	0.117534
cooker	0.110955
"stereo system"	0.109288
appliance	0.10806
"water heater"	0.106256
"machine tool"	0.103987
"videocassette recorder"	0.103985
Projector	0.1037
"integrated circuit"	0.102409
"fax machine"	0.0988995
"picture tube"	0.0988808
"vacuum cleaner"	0.0971967
"laser printer"	0.0957073
switchboard	0.0943751
"hand-held computer"	0.093891
"consumer electronics"	0.0919822
doorbell	0.0885619
"communications equipment"	0.087418
compressor	0.0860561
ethylene	0.0858033
"memory chip"	0.0826369
pager	0.0820451
"personal computer"	0.0819364
pagers	0.0812049
semiconductor	0.0807819
"security system"	0.080399
"kitchen appliance"	0.08023
"telephone set"	0.0800817
automobile	0.0798527
phonograph	0.0797279
"cellular phone"	0.0796549
"tape recorder"	0.0795419
newsprint	0.0794874
"compact disc"	0.0786086
recorder	0.0785514
"electric light"	0.0782636
"bunk bed"	0.0778472
copier	0.0762672
"durable goods"	0.0759526
heater	0.0756591
"building material"	0.0755523
"consumer goods"	0.0746789
washer	0.0738956
"steel plate"	0.0738848
VCD	0.0736715
"golf equipment"	0.0734855
stove	0.0729213
"office furniture"	0.0727399
beepers	0.0726112
"synthetic fiber"	0.0724676
DVDs	0.072064
"cable television"	0.0719791
"computer hardware"	0.0717861
microchip	0.0715897
"wind power"	0.0704618
Motorcycle	0.0703935
"fortune cookie"	0.0702651
microwave	0.0698433
freezer	0.0688932
photocopier	0.0682701
air-conditioning	0.0682251
petrochemical	0.0670479
Walkman	0.0668232
"pig iron"	0.066797
"shower curtain"	0.0665875
"audio system"	0.0664885
"diesel engine"	0.0663903
"telephone network"	0.0659012
"gas stove"	0.0657116
"water pump"	0.0654574
"electronic equipment"	0.0653839
"Palm Pilot"	0.0652853
bicycle	0.0650935
knitwear	0.0650602
"water filter"	0.064892
refrigeration	0.0645927
videophone	0.0644553
scanner	0.0643662
generator	0.0639231
handset	0.0638946
kitchenette	0.063678
electronics	0.0636324
printer	0.0632875
"satellite receiver"	0.0630957
"lawn mower"	0.0629497
"disk drive"	0.0629119
"cellular telephone"	0.0626693
"caller ID"	0.0624968
typewriter	0.0623265
auto	0.0622437
"hair dryer"	0.0620701
shredder	0.0619213
kinescope	0.0618869
mini-buses	0.0618472
amplifier	0.0617969
"electric car"	0.061676
lysine	0.0615584
"computer equipment"	0.0613885
"vending machine"	0.0611618
cookware	0.0609896
"household product"	0.0604746
cosmetic	0.060468
ceramic	0.0604129
"optical fiber"	0.0602223
A-shares	0.0601705
"canned food"	0.0598546
ventilation	0.0594284
"hearing aid"	0.0592277
"entertainment center"	0.0592216
lubricant	0.0591929
"light bulb"	0.0589791
"cashew nut"	0.0589454
"over @,@@@ tons"	0.0587581
"motor vehicle"	0.0586976
"four million tons"	0.0584853
elevator	0.058414
toilet	0.0583531
"printing press"	0.0583483
"power tool"	0.0582469
"spare part"	0.0581716
toothpaste	0.058147
"minority stake"	0.0580193
"palm oil"	0.0574321
"alcoholic beverage"	0.0572812
"solar cell"	0.0572113
"video game"	0.0570305
peripheral	0.0570075
"iron ore"	0.0569563
"stainless steel"	0.0569127
"power steering"	0.0566896
"plate glass"	0.0565685
LCD	0.0564353
workstation	0.0563706
minicomputer	0.056331
"fish meal"	0.0561156
wristwatch	0.0560725
"aircraft engine"	0.0560509
"circuit board"	0.055728
"laptop computer"	0.0554612
conditioning	0.0553823
"joint-stock company"	0.0552444
atm	0.0552007
"piece of furniture"	0.0551865
"cubic meter"	0.0551628
"electronic device"	0.0551507
"Palm VII"	0.0549024
sauna	0.0548808
"dairy product"	0.0547858
dryer	0.0547588
TCM	0.0546791
"citric acid"	0.0545756
"laundry detergent"	0.0545724
modem	0.0545294
ICS	0.0542671
"food product"	0.0541007
interferon	0.0540204
tractor	0.0539238
sportswear	0.0538227
ATX	0.0534261
mattress	0.0534208
"video equipment"	0.0533362
"parcel of land"	0.0532494
plumbing	0.0532438
"phone jack"	0.0532165
penicillin	0.0531368
heating	0.0530717
"piece of land"	0.0526789
"coffee maker"	0.0526374
"automatic teller machine"	0.0526141
timepiece	0.0525724
"sex hormone"	0.0525351
"jet engine"	0.0525019
"copper mine"	0.0523866
remotes	0.0523621
"passenger car"	0.0523191
"telephone system"	0.0522491
sofa	0.0522021
portables	0.0521849
e-BOOKS	0.0520861
polypropylene	0.0520278
))
(Colorado (desc 90473.6) (sims
Arizona	0.260818
Minnesota	0.240684
Florida	0.232137
Pittsburgh	0.22633
"Tampa Bay"	0.220555
"St. Louis"	0.218111
Detroit	0.217231
Tennessee	0.21271
ANAHEIM	0.210511
Utah	0.210424
"New Jersey"	0.210164
Indiana	0.20935
Oregon	0.208042
Toronto	0.208025
Texas	0.208022
Montreal	0.204952
Philadelphia	0.202763
Nebraska	0.202002
"New Mexico"	0.201116
Oklahoma	0.200672
Wisconsin	0.199551
Cincinnati	0.199152
Kentucky	0.19898
"San Diego"	0.197025
Missouri	0.195761
Wyoming	0.194654
Cleveland	0.194182
Dallas	0.193752
Michigan	0.193627
Phoenix	0.193577
Edmonton	0.192683
Kansas	0.191374
Calgary	0.190605
"North Carolina"	0.188185
Chicago	0.187195
"West Virginia"	0.18652
Houston	0.184174
Alabama	0.182775
Oakland	0.182616
Milwaukee	0.182074
Carolina	0.182057
Virginia	0.181173
Montana	0.180767
Buffalo	0.180202
Baltimore	0.177871
Seattle	0.177811
Arkansas	0.17772
"San Jose"	0.177498
"Kansas City"	0.177447
Idaho	0.17634
Denver	0.173636
Vancouver	0.170998
Boston	0.170744
Atlanta	0.17061
Illinois	0.169461
Maryland	0.168701
Georgia	0.168381
Nevada	0.168116
Iowa	0.167923
Pennsylvania	0.1677
Connecticut	0.166595
Miami	0.164589
"Los Angeles"	0.162178
California	0.160838
Nashville	0.159551
"North Dakota"	0.15941
Maine	0.158911
Portland	0.158216
"South Carolina"	0.157833
Washington	0.157147
"New York"	0.156315
Ottawa	0.155307
"San Francisco"	0.155062
Louisiana	0.154039
"Green Bay"	0.153803
Mississippi	0.153568
"New England"	0.150518
"Rhode Island"	0.148985
"South Dakota"	0.147677
Rockies	0.147016
Ohio	0.145577
Delaware	0.145243
Sacramento	0.144136
"San Antonio"	0.143181
"Chicago Cubs"	0.142889
Vermont	0.140687
Hawaii	0.14029
Massachusetts	0.139911
"Oklahoma State"	0.139156
"New Orleans"	0.138456
"Washington State"	0.137552
"N.Y. Islanders"	0.137328
"Florida State"	0.136841
Mets	0.13551
UCLA	0.134283
"New York Mets"	0.132401
Purdue	0.132247
"Colorado Rockies"	0.132018
LSU	0.131405
"Arizona State"	0.131142
Stanford	0.131049
Jacksonville	0.130881
Syracuse	0.130639
"Chicago White Sox"	0.129232
ranger	0.128842
Indianapolis	0.12883
Orlando	0.128474
"Notre Dame"	0.12836
Alaska	0.128285
Giants	0.127524
"Kansas State"	0.126206
"Ohio State"	0.126094
"Penn State"	0.125799
"New Hampshire"	0.124835
"N.Y. Rangers"	0.123746
Charlotte	0.122993
"Michigan State"	0.122957
"New York Giants"	0.122091
"Oregon State"	0.122004
Columbus	0.1214
"Mississippi State"	0.12092
ASTROS	0.120411
"Iowa State"	0.119874
Phillies	0.118871
"Southern California"	0.118196
USC	0.118158
"Golden State"	0.117663
Orioles	0.116414
"White Sox"	0.116229
Clemson	0.116124
dodger	0.114503
Yankee	0.113814
"Texas Tech"	0.11372
"St. Louis Cardinals"	0.113279
"New York Jets"	0.11106
Padre	0.110708
"Georgia Tech"	0.110677
cub	0.110479
islander	0.110193
Baylor	0.109784
Auburn	0.109691
brave	0.109106
diamondback	0.108711
"New York Yankees"	0.108211
"Fresno State"	0.10758
"Los Angeles Dodgers"	0.10753
"blue jay"	0.107326
"Red Sox"	0.106721
cardinal	0.105937
"North Carolina State"	0.104867
Tulsa	0.104389
"Cleveland Indians"	0.103858
"Los Angeles Lakers"	0.103856
"New York Rangers"	0.103759
MetroStars	0.102942
"Houston Astros"	0.10285
"Colorado State"	0.102518
"Atlanta Braves"	0.101338
Memphis	0.100854
"Red Wings"	0.100799
Rutgers	0.100767
"Colorado Avalanche"	0.100677
mariner	0.100612
Lakers	0.10058
A's	0.100502
Vanderbilt	0.0999186
"Louisiana Tech"	0.0993119
marlin	0.0986822
"New York Islanders"	0.0982445
"Arizona Diamondbacks"	0.0981854
"Boston Red Sox"	0.097793
Cal	0.0977346
bruin	0.0975528
Louisville	0.0972787
"devil ray"	0.0971364
Tampa	0.0968717
BYU	0.0966366
"Virginia Tech"	0.0964345
"Florida Marlins"	0.0960181
devil	0.0958215
avalanche	0.0955273
"Toronto Blue Jays"	0.0955007
"San Diego Padres"	0.0952706
"Boston College"	0.095065
oiler	0.0948571
panther	0.0947705
Littleton	0.0943479
Duke	0.0943072
Royals	0.093879
"San Diego State"	0.0932198
"Maple Leafs"	0.0927067
"Texas Rangers"	0.0924793
Knicks	0.0918886
"Florida Panthers"	0.0918102
TCU	0.0918069
"Edmonton Oilers"	0.0914883
"Wake Forest"	0.0910745
angel	0.0909724
Gonzaga	0.0909523
"Cincinnati Reds"	0.090801
))
("Colorado Avalanche" (desc 9845.71) (sims
"Dallas Stars"	0.236273
"Phoenix Coyotes"	0.222528
"Buffalo Sabres"	0.220823
"Detroit Red Wings"	0.219948
"St. Louis Blues"	0.218657
"New York Rangers"	0.211543
"Washington Capitals"	0.208321
"Edmonton Oilers"	0.207913
"New Jersey Devils"	0.20763
"San Jose Sharks"	0.199025
"Vancouver Canucks"	0.195814
"Toronto Maple Leafs"	0.177537
"Philadelphia Flyers"	0.177051
"Los Angeles Kings"	0.17611
"Calgary Flames"	0.176034
"Chicago Blackhawks"	0.171624
"San Antonio Spurs"	0.167909
Av	0.166908
"Mighty Ducks"	0.165794
"Carolina Hurricanes"	0.163685
"New York Islanders"	0.162645
"Sacramento Kings"	0.16224
"Ottawa Senators"	0.161553
avalanche	0.160519
"Florida Panthers"	0.158152
"Phoenix Suns"	0.156607
"Pittsburgh Penguins"	0.150467
"Miami Fusion"	0.14979
"Boston Bruins"	0.148993
"Utah Jazz"	0.147801
"Detroit Pistons"	0.147088
"Los Angeles Clippers"	0.1464
"Indiana Pacers"	0.145971
"Golden State Warriors"	0.144234
"Anaheim Mighty Ducks"	0.143918
"Los Angeles Lakers"	0.142448
"Denver Nuggets"	0.139662
"Portland Trail Blazers"	0.139106
"Dallas Mavericks"	0.138703
"Chicago Fire"	0.132972
"Red Wings"	0.132675
"Tampa Bay Lightning"	0.131994
"Cleveland Indians"	0.130816
"New York-New Jersey MetroStars"	0.129192
"Montreal Canadiens"	0.129056
"Nashville Predators"	0.128712
"Oakland Athletics"	0.124536
"Charlotte Hornets"	0.123871
"New York Knicks"	0.122856
"Minnesota Timberwolves"	0.122675
"Texas Rangers"	0.12262
"Miami Heat"	0.122439
"San Diego Padres"	0.122196
"D.C. United"	0.120882
"Montreal Expos"	0.120171
"Florida Marlins"	0.119984
"Boston Celtics"	0.11827
"Maple Leafs"	0.116833
sabre	0.116673
"New York Mets"	0.116569
"Dallas Burn"	0.116417
"Pittsburgh Pirates"	0.116241
"Colorado Rockies"	0.115718
"New York Liberty"	0.115549
"Vancouver Grizzlies"	0.115079
"Kansas City Royals"	0.114927
flyer	0.114363
"Milwaukee Brewers"	0.114248
oiler	0.11408
"Toronto Blue Jays"	0.112913
"Washington Redskins"	0.11277
"San Francisco Giants"	0.111608
"Arizona Diamondbacks"	0.110533
"Los Angeles Dodgers"	0.109804
coyote	0.109797
"Orlando Magic"	0.109672
"Houston Astros"	0.10879
"Chicago Cubs"	0.108389
"Minnesota Vikings"	0.106767
"Green Bay Packers"	0.106701
"Houston Rockets"	0.106088
"Detroit Tigers"	0.106083
"Kansas City Chiefs"	0.105847
"Minnesota Twins"	0.105836
"Chicago Bulls"	0.105698
"Atlanta Braves"	0.105095
"Boston Red Sox"	0.104613
"Tampa Bay Devil Rays"	0.104501
clipper	0.104253
Canadiens	0.104051
"Philadelphia Phillies"	0.103724
"Milwaukee Bucks"	0.103621
"Toronto Raptors"	0.103327
"St. Louis Cardinals"	0.103265
"Atlanta Hawks"	0.102721
pacer	0.102672
"Anaheim Angels"	0.102003
"Denver Broncos"	0.101951
"Cincinnati Reds"	0.101084
Colorado	0.100677
"Tennessee Titans"	0.0992395
panther	0.0992157
"Seattle SuperSonics"	0.0987383
MetroStars	0.0985212
"Seattle Mariners"	0.0981157
"CHARLOTTE STING"	0.0979347
piston	0.0979181
Edmonton	0.0978216
"Trail Blazers"	0.0975938
Stars	0.0972998
"Atlanta Thrashers"	0.0966513
Lakers	0.0962483
"Baltimore Orioles"	0.0962192
"New York Yankees"	0.0960363
devil	0.0957185
"Miami Dolphins"	0.0954898
"St. Louis Rams"	0.0954859
"Cleveland Cavaliers"	0.0950341
"Chicago Bears"	0.0950304
"New Orleans Saints"	0.0946115
"Buffalo Bills"	0.094428
"Washington Wizards"	0.0940718
Canuck	0.093558
"Dallas Cowboys"	0.0932783
islander	0.0931439
"Chicago White Sox"	0.0930849
ranger	0.0923802
"San Francisco @@ers"	0.0921933
packer	0.0921119
Celtics	0.0920165
"ATLANTA FALCONS"	0.0919722
"San Diego Chargers"	0.0919372
"Philadelphia Eagles"	0.0914127
bruin	0.0910957
"Indianapolis Colts"	0.0906048
"White Sox"	0.0904208
"Carolina Panthers"	0.0903191
"Jacksonville Jaguars"	0.0901076
spur	0.089813
"Phoenix Mercury"	0.0896849
"blue jay"	0.0893845
nugget	0.0890401
Knicks	0.0883192
diamondback	0.0878794
"New Jersey Nets"	0.087848
"Oakland Raiders"	0.0877119
Phillies	0.0873227
"Washington Mystics"	0.08732
maverick	0.0872947
"Arizona Cardinals"	0.0868437
Carolina	0.0859746
"Iowa State"	0.085759
Raptor	0.0854237
Calgary	0.0845011
Giants	0.0844125
Padre	0.0844031
"Los Angeles Sparks"	0.0839346
Mets	0.0836431
"Tampa Bay"	0.083395
"Seibu Lions"	0.083283
"Cleveland Browns"	0.0830082
A's	0.0829376
"Tampa Bay Buccaneers"	0.0824921
"Cincinnati Bengals"	0.0823344
"Los Angeles Galaxy"	0.0812767
"Mississippi State"	0.0807316
"San Jose"	0.080578
Toronto	0.0802332
penguin	0.0798878
Indiana	0.0798535
"New York Giants"	0.079786
"Seattle Seahawks"	0.0796099
"New York Jets"	0.0793898
Orioles	0.0793842
Portland	0.0791944
Redskin	0.0789837
Royals	0.0788422
"Montana State"	0.0784495
Sacramento	0.078153
Timberwolves	0.0774794
cub	0.0773571
Hornet	0.0772356
"American Chanda Rubin"	0.0770069
"New England Patriots"	0.0767574
Dallas	0.0759456
marlin	0.0758011
"Australian Mark Philippoussis"	0.0756626
"Red Sox"	0.0756337
"devil ray"	0.0753353
"Southwest Missouri State"	0.0752098
"Green Bay"	0.0748127
ANAHEIM	0.0744589
Yankee	0.0744214
Eagles	0.0743996
Phoenix	0.0742059
"Baltimore Ravens"	0.0740797
"Golden State"	0.0739535
bronco	0.0737956
Oakland	0.0736025
thrasher	0.0734698
))
("Colorado Party" (desc 1433.38) (sims
"Nationalist Party"	0.266363
"Institutional Revolutionary Party"	0.221457
Lakas-NUCD	0.178059
"New Party"	0.166949
"Green Party"	0.162737
"Democratic Revolutionary Party"	0.158144
"National Action Party"	0.156345
"United Malays National Organization"	0.154232
"New Korea Party"	0.149456
"Pakistan Muslim League"	0.148343
"Democratic Progressive Party"	0.147665
"Zimbabwe African National Union-Patriotic Front"	0.146499
"Croatian Democratic Union"	0.142491
"Conservative Party"	0.141701
"Baath Party"	0.140974
"Liberal Democratic Party"	0.140366
"Popular Party"	0.138712
PRI	0.137765
"Socialist Party"	0.137372
"People's Democratic Party"	0.137173
"Independence Party"	0.136538
"National Action"	0.135523
"Nepali Congress"	0.132077
"Liberal Party"	0.129036
PRD	0.126213
"Kenya African National Union"	0.125987
"Parti Quebecois"	0.123576
"Democratic Revolution Party"	0.122346
"National Democratic Party"	0.12133
"Social Democratic Party"	0.120984
"Motherland Party"	0.120163
Golkar	0.118882
ITTF	0.117578
PML-N	0.11619
"Lesotho Congress"	0.115105
"Social Democrats"	0.113765
RPR	0.113223
"Christian Democratic Party"	0.112911
MPLA	0.112366
"Congress Party"	0.11188
Kanu	0.110987
"Democrat Party"	0.110341
UMNO	0.109748
"Democratic Left Party"	0.108746
"Golkar Party"	0.108627
"People's Party"	0.10843
"Bharatiya Janata Party"	0.108267
"Labor Party"	0.107365
"Islamic Movement"	0.106293
"Likud Party"	0.106037
MQM	0.105797
LDP	0.105643
Hezb-i-Islami	0.104607
"Liberal Democrats"	0.103512
Zanu-pf	0.10267
PML	0.102583
NKP	0.102064
"Barisan Nasional"	0.101511
PDP	0.100909
"Progressive Party"	0.100575
"Awami League"	0.0991918
FRELIMO	0.098542
"Rwandan Patriotic Front"	0.0977778
UNP	0.0976439
FN	0.0964746
"Reform Party"	0.0955916
"National Party"	0.0939033
"Federal Council"	0.0938674
"Revolutionary Party"	0.0937079
SPD	0.0934447
Mensa	0.0931613
"Board of Supervisors"	0.0930073
"Christian Social Union"	0.0929896
"Communist Party"	0.0929465
"Cambodian People's Party"	0.0927894
"National Front"	0.0927551
RCD	0.0923816
FIBA	0.0922916
UNIP	0.0908003
"Serbian Radical Party"	0.0901627
FIVB	0.0897243
BJP	0.0892604
Awami	0.0871883
Fatah	0.0871305
"National Executive Committee"	0.0868729
KNU	0.0866541
"Christian Democratic Union"	0.0865079
"State Peace and Development Council"	0.0864466
"Center Party"	0.086238
UCI	0.086024
CCM	0.0858632
FIA	0.0856196
PDI	0.0850281
"African National Congress"	0.0837112
center-right	0.0833216
RPP	0.0828058
FORD-Kenya	0.0824871
CDU	0.0819627
"People's Alliance"	0.0811809
UDF	0.0811577
HDZ	0.0808555
"Bangladesh Nationalist Party"	0.080812
"New Democrats"	0.0807887
Politburo	0.0801947
"Congolese Rally"	0.0801632
Laban	0.0800606
"jet set"	0.0797199
"Democratic Alliance"	0.0794894
"Canadian Alliance"	0.0792932
"Christian Democrats"	0.0788547
"Revolutionary Command Council"	0.0787826
"Congressional Black Caucus"	0.0782937
"National Resistance Movement"	0.0775944
"Provisional Ruling Council"	0.0775597
"Radical Party"	0.0771397
CPN-UML	0.0767678
"United National Party"	0.0758264
MMD	0.0754467
"Christian Democrat"	0.0753312
"Meretz Party"	0.0745002
BNP	0.0741904
NC	0.0741659
MDC	0.0740085
"National League for Democracy"	0.0738499
"Moro National Liberation Front"	0.0737424
"Indonesian Democratic Party"	0.0730587
BN	0.0729406
PASOK	0.0722235
Likud	0.0719662
Yabloko	0.070955
"Social Democrat"	0.0708606
"Russian Communist Party"	0.0706995
APP	0.0706377
"opposition party"	0.0705277
IAAF	0.0704729
"Janata Dal"	0.0704597
"Justice Party"	0.0704508
MNLF	0.0699802
"Islamic Jihad"	0.0695862
"Muslim Brotherhood"	0.0693525
"Mormon Church"	0.0692194
"Grand National Party"	0.0691915
"Social Democratic"	0.0690972
"Election Committee"	0.0687938
Lakas	0.0684872
"National Democratic Alliance"	0.0677549
CPP	0.0676633
DAP	0.0676403
"Civic Democratic Party"	0.0670339
SDP	0.0664791
"General Council"	0.0664469
ANC	0.0662783
"Executive Committee"	0.0657786
"Liberation Front"	0.0656448
DYP	0.0655188
PCF	0.0652719
PDI-P	0.0650043
"Armed Islamic Group"	0.0644711
"Allied Pilots Association"	0.0644054
clique	0.0643984
"Democratic Action"	0.0643868
"Indonesian Armed Forces"	0.0642736
"Free Democrats"	0.0642705
MRTA	0.0641681
"South Pacific Forum"	0.064074
"Ku Klux Klan"	0.0636965
"Pakistan People's Party"	0.063531
"U.S. Soccer Federation"	0.0633494
"US House"	0.0632934
CAA	0.0630495
FINA	0.0628423
"Log Cabin Republicans"	0.062739
ZCTU	0.062635
"Serbian Renewal Movement"	0.0625284
"United Development Party"	0.0623911
"Palestine Liberation Organization"	0.0622626
MPR	0.0621726
"Zapatista National Liberation Army"	0.0619852
"Democratic Leadership Council"	0.061915
"International Association of Machinists"	0.0615477
CUF	0.0615395
"Democratic Unionist Party"	0.0614139
SPS	0.0609464
"Monetary Policy Committee"	0.060768
"Chinese Communist Party"	0.0604499
"Real IRA"	0.0603212
FUNCINPEC	0.0600882
DPP	0.0599553
"United Liberal Democrats"	0.0599461
Kuomintang	0.0598732
"Operation Rescue"	0.0598015
"Church of Jesus Christ of Latter-day Saints"	0.0594913
"Public Security Ministry"	0.0594503
"Herri Batasuna"	0.0591592
"Virtue Party"	0.0587109
UPC	0.0586233
Zajedno	0.0584853
"National Religious Party"	0.0582531
CDB	0.0581363
Gilead	0.0580556
))
("Colorado River" (desc 3648.17) (sims
"Tar River"	0.159239
"Mekong River"	0.149404
"Columbia River"	0.148459
Ganges	0.13309
"Missouri River"	0.128515
Nile	0.125207
"Nile River"	0.117595
"Mississippi River"	0.115461
Yangtze	0.107469
"Yangtze River"	0.107286
"Yellow River"	0.106552
Danube	0.103702
Euphrates	0.10196
"Rio Grande"	0.100366
"Potomac River"	0.0960637
Creek	0.0942483
"Snake River"	0.0915475
"Danube River"	0.0866491
"Huaihe River"	0.0815341
"San Francisco Bay"	0.0805507
aquifer	0.079318
"Red River"	0.078986
"Hudson River"	0.0751322
"Lake Victoria"	0.0750001
"Songhua River"	0.0747989
"white water"	0.0746857
"Great Lakes"	0.0719073
"Mediterranean Sea"	0.0718034
"Lake Erie"	0.0701028
"Interstate @"	0.0697067
"Lake Ontario"	0.0683278
"Dead Sea"	0.0683041
Caspian	0.0682868
"Taihu Lake"	0.0682402
riverbed	0.0676688
"Red Sea"	0.0675188
"Caspian Sea"	0.0672913
reservoir	0.0664131
Songhua	0.0658894
Mekong	0.0653648
rippling	0.0652424
Canal	0.0649095
"Arctic Ocean"	0.0647637
"New York Harbor"	0.0645621
Hudson	0.0642668
"Puget Sound"	0.0631354
"Lake Tahoe"	0.0624745
"Pacific Ocean"	0.0622688
groundwater	0.0611751
"East River"	0.0608261
"Pearl River"	0.0607572
estuary	0.0607329
basin	0.0602047
"Highway @@@"	0.0601063
simmering	0.059923
"Chesapeake Bay"	0.0598445
lagoon	0.0589981
"Hudson Valley"	0.0589353
"Black Sea"	0.05888
"Jordan River"	0.058598
"Lake Okeechobee"	0.0583706
"garden hose"	0.0580539
Mediterranean	0.0577163
Seine	0.0573759
"North Atlantic"	0.0558557
"Lake Michigan"	0.0558303
"Long Island Sound"	0.0556702
"Ohio River"	0.0555976
footpath	0.0551661
Sewage	0.0550109
Xiaolangdi	0.0548699
Evian	0.054197
"Interstate @@@"	0.0535224
"water table"	0.0532711
gorge	0.0531266
Chattahoochee	0.0528695
"Baltic Sea"	0.0526675
marshland	0.0525414
"Persian Gulf"	0.0517377
viaduct	0.0515848
"river bed"	0.0514755
coolant	0.0512205
"Indian Ocean"	0.0506993
"ground water"	0.0506079
"Bay of Bengal"	0.0502009
"Highway @@"	0.0501413
"Bay Bridge"	0.0497094
shoreline	0.0495925
octave	0.0495604
Amazonian	0.0495072
Tigris	0.0493932
capillary	0.0493213
"Leeward Islands"	0.0491501
"water pipe"	0.0489725
waterway	0.0488899
"Gulf Coast"	0.0486836
"electric current"	0.048414
tributary	0.0484025
Arctic	0.0482053
ballast	0.0480049
"Appalachian Trail"	0.0478901
"Beibu Gulf"	0.0477901
"state highway"	0.047753
"Grand Canal"	0.0476444
"Connecticut River"	0.0474852
"Huangpu River"	0.0474792
"Nenjiang River"	0.0471813
"Grand Canyon"	0.0470461
"Congo River"	0.0469533
"Silk Road"	0.0467739
Marsh	0.0466448
Hispaniola	0.0462641
roadway	0.0462569
Rivers	0.0459237
Rhine	0.0457612
"South Atlantic"	0.0456541
"Gulf of Mexico"	0.0455379
"Lake Tanganyika"	0.0452239
"railroad track"	0.0451152
"Atlantic Ocean"	0.0450166
Chesapeake	0.0449508
watershed	0.0449137
"Victoria Harbor"	0.0442551
taskbar	0.0441751
interstate	0.0439334
"ocean floor"	0.0439133
"tropical rain forest"	0.0438422
headwaters	0.0438144
Adriatic	0.0430551
"Golden Triangle"	0.0426485
Baltic	0.0423732
"Delaware River"	0.0422808
"Niger Delta"	0.0421688
rainwater	0.042061
glacier	0.041855
Monahan	0.0418521
gland	0.04175
"hot air"	0.0417098
bayou	0.0416505
"Suez Canal"	0.0415769
beachfront	0.041422
flint	0.041074
Springs	0.0408957
"Route @@"	0.0407338
tropic	0.0406237
"Golden Gate Bridge"	0.0404553
"Great Wall"	0.0404128
dune	0.0402987
floodwaters	0.0402253
"water main"	0.0401406
"Interstate @@"	0.0400852
))
("Colorado Rockies" (desc 12772) (sims
"Houston Astros"	0.278828
"Cincinnati Reds"	0.259317
"Los Angeles Dodgers"	0.255309
"Milwaukee Brewers"	0.253407
"Kansas City Royals"	0.247033
"Cleveland Indians"	0.245906
"Detroit Tigers"	0.245497
"San Diego Padres"	0.243157
"New York Mets"	0.242637
"Anaheim Angels"	0.240603
"St. Louis Cardinals"	0.238451
"Pittsburgh Pirates"	0.237943
"San Francisco Giants"	0.236989
"Arizona Diamondbacks"	0.235757
"Florida Marlins"	0.232401
"Texas Rangers"	0.231437
"Baltimore Orioles"	0.22667
"Seattle Mariners"	0.225444
"Toronto Blue Jays"	0.224705
"Chicago White Sox"	0.220683
"Philadelphia Phillies"	0.218323
"Atlanta Braves"	0.215602
"Boston Red Sox"	0.210129
"Oakland Athletics"	0.207338
"Chicago Cubs"	0.206573
Rockies	0.205173
"Minnesota Twins"	0.204883
"Tampa Bay Devil Rays"	0.199688
"New York Yankees"	0.195496
"Montreal Expos"	0.194345
"Calgary Flames"	0.175734
"White Sox"	0.175468
Phillies	0.173575
diamondback	0.173432
Orioles	0.167243
ASTROS	0.164229
"devil ray"	0.160152
Mets	0.158573
dodger	0.154449
"blue jay"	0.153137
Giants	0.151369
cub	0.14902
Padre	0.148753
"Washington Redskins"	0.145267
"Carolina Hurricanes"	0.143247
marlin	0.14323
A's	0.141844
"Florida Panthers"	0.140249
brave	0.135515
"Golden State Warriors"	0.135345
Expo	0.134754
Royals	0.134505
"New York Giants"	0.134129
"Pittsburgh Penguins"	0.133391
"Vancouver Canucks"	0.132186
Colorado	0.132018
"Red Sox"	0.131507
"Edmonton Oilers"	0.126083
Yankee	0.125774
"Toronto Maple Leafs"	0.125718
"Chicago Blackhawks"	0.124872
mariner	0.124732
"Tampa Bay"	0.124712
"Philadelphia Flyers"	0.124675
"Los Angeles Kings"	0.123545
"Tampa Bay Lightning"	0.122916
"Arizona Cardinals"	0.121662
"Miami Heat"	0.12158
cardinal	0.121535
"Nashville Predators"	0.12136
"Indianapolis Colts"	0.119173
"Ottawa Senators"	0.119147
"Miami Fusion"	0.119073
"Sacramento Kings"	0.119033
"Dallas Mavericks"	0.118695
"Mighty Ducks"	0.117003
"New York Liberty"	0.116455
"Colorado Avalanche"	0.115718
"San Antonio Spurs"	0.115603
brewer	0.113729
"Detroit Red Wings"	0.113401
"San Jose Sharks"	0.113022
"Dallas Stars"	0.112919
"Boston Bruins"	0.112363
"Kansas City Chiefs"	0.112316
ranger	0.111881
"Vancouver Grizzlies"	0.111844
"New Orleans Saints"	0.111776
"New York Islanders"	0.111722
angel	0.111643
pirate	0.111412
Cleveland	0.111152
"Detroit Pistons"	0.110977
"Los Angeles Clippers"	0.110955
"Houston Rockets"	0.110759
Milwaukee	0.110559
Oakland	0.110176
"Miami Dolphins"	0.109
"Milwaukee Bucks"	0.108675
"Buffalo Sabres"	0.108488
Cincinnati	0.108354
"San Francisco @@ers"	0.107884
"Utah Jazz"	0.107732
"Philadelphia Eagles"	0.107442
"Washington Wizards"	0.107213
"Charlotte Hornets"	0.107015
"Washington Capitals"	0.106496
MetroStars	0.106484
"Montreal Canadiens"	0.106425
"New York-New Jersey MetroStars"	0.105988
"Dallas Burn"	0.105961
"Dallas Cowboys"	0.105833
"Phoenix Suns"	0.10514
"Seattle Seahawks"	0.105033
"Boston Celtics"	0.10458
"Oregon State"	0.104564
"Los Angeles Lakers"	0.103966
"New York Knicks"	0.103599
"Minnesota Timberwolves"	0.103408
"New York Rangers"	0.103381
"Indiana Pacers"	0.103173
"San Diego Chargers"	0.102216
"San Diego"	0.102132
ANAHEIM	0.101804
"Montana State"	0.101699
"Oakland Raiders"	0.101147
"Chicago Bears"	0.100955
"Louisiana Tech"	0.100859
"Cleveland Browns"	0.100809
"Denver Nuggets"	0.100476
"Minnesota Vikings"	0.10036
"St. Louis Rams"	0.100034
"Green Bay Packers"	0.0998794
"New England Patriots"	0.0998483
Indian	0.0990873
"St. Louis Blues"	0.0988506
"Atlanta Thrashers"	0.098639
"Maple Leafs"	0.0986121
"New Jersey Nets"	0.098609
"Phoenix Coyotes"	0.09716
Sox	0.096987
"Denver Broncos"	0.0967406
"New Jersey Devils"	0.0966432
Detroit	0.0959552
"D.C. United"	0.0959511
Baltimore	0.0955317
"Portland Trail Blazers"	0.095278
"New Mexico State"	0.094797
Pittsburgh	0.0947895
"Atlanta Hawks"	0.0945816
Montreal	0.0943239
Redskin	0.0943007
Toronto	0.09392
"Seattle SuperSonics"	0.0938333
"St. Louis"	0.0936036
Canuck	0.0934657
"Buffalo Bills"	0.0934229
oiler	0.0934182
"Pittsburgh Steelers"	0.0929438
panther	0.09288
"Carolina Panthers"	0.0925634
"Anaheim Mighty Ducks"	0.0924559
"Toronto Raptors"	0.0919542
Celtics	0.0917945
"Brooklyn Dodgers"	0.0914296
"New York Jets"	0.0913975
"Fresno State"	0.0907712
"Orlando Magic"	0.0902185
"Chicago Bulls"	0.089955
"Chicago Fire"	0.089847
clipper	0.0894514
Arizona	0.0892592
"Detroit Lions"	0.0890298
"Nottingham Forest"	0.0888905
Philadelphia	0.088782
"Arizona State"	0.088386
"Red Wings"	0.0883316
Minnesota	0.0878205
tiger	0.0874191
LSU	0.0873099
"Cincinnati Bengals"	0.0870139
Edmonton	0.0861457
"Kansas City"	0.0861357
"Green Bay"	0.0860392
"Tampa Bay Buccaneers"	0.0860004
Seahawks	0.0858747
Canadiens	0.0858429
"Utah State"	0.0834383
Steelers	0.0834063
islander	0.0830196
Seattle	0.0828226
Purdue	0.0820121
Lakers	0.0819008
"Baltimore Ravens"	0.0816823
red	0.0816666
Carolina	0.0816576
Gonzaga	0.0816553
"Iowa State"	0.0814927
"San Jose State"	0.081435
"Tennessee Titans"	0.0812495
))
("Colorado Springs" (desc 8781.85) (sims
Tucson	0.123901
Minneapolis	0.107461
"Fort Lauderdale"	0.106901
Boise	0.102604
"Little Rock"	0.102231
LAKEWOOD	0.100539
Englewood	0.0999832
"Grand Junction"	0.0980819
Denver	0.0978707
"Fort Collins"	0.0968788
Harrisburg	0.0961174
Albuquerque	0.0953669
anchorage	0.0939717
Honolulu	0.0938056
Phoenix	0.0935552
Stamford	0.093457
Spokane	0.0918808
Lenexa	0.0918648
Tampa	0.0914678
"San Diego"	0.0911156
Memphis	0.0904657
"San Antonio"	0.0898231
Rochester	0.0894317
"Las Vegas"	0.0893756
Norfolk	0.0893414
Nashville	0.0887036
"Los Angeles"	0.0884419
Wilmington	0.0881222
"Salt Lake City"	0.0879209
"West Palm Beach"	0.0877784
"Oklahoma City"	0.0875249
Columbus	0.0872172
Indianapolis	0.0867268
"Fort Worth"	0.0864545
Portland	0.0862714
"Overland Park"	0.086168
Orlando	0.0857639
Austin	0.0854523
"Long Beach"	0.0849925
"Des Moines"	0.0846951
"Delray Beach"	0.0844413
Birmingham	0.0841345
Greenville	0.0837139
Charlotte	0.0829573
Yonkers	0.0825985
Tacoma	0.0825482
Louisville	0.0824124
Lausanne	0.082324
Charleston	0.0822703
Montreal	0.0821511
Burbank	0.0821003
"Kansas City"	0.0820083
"San Jose"	0.0819558
Morristown	0.0818484
Vail	0.0816259
"Saratoga Springs"	0.0813843
Richmond	0.0813034
"East Orange"	0.0811806
Calgary	0.080947
"Boca Raton"	0.0809342
Dallas	0.0809258
Houston	0.0805449
Riyadh	0.0800786
Toronto	0.0798707
Amsterdam	0.0796238
"St. Petersburg"	0.0795511
Geneva	0.0794885
Raleigh	0.0794808
Dearborn	0.0794534
Bloomington	0.0793549
Chicago	0.0789404
Omaha	0.0787941
Telluride	0.0786163
Pasadena	0.0785388
"El Paso"	0.0785092
Hartford	0.0784936
"San Francisco"	0.0781276
"St. Louis"	0.0779698
Detroit	0.0778611
Seattle	0.0776897
Sacramento	0.0775193
Boulder	0.07748
Newark	0.0773624
Suwanee	0.077151
Albany	0.0771469
"Newport Beach"	0.076694
Jacksonville	0.0763908
Scottsdale	0.0763159
Marietta	0.0761155
Tijuana	0.0751343
Auckland	0.0750502
"Santa Fe"	0.0750169
Reston	0.0740966
Baltimore	0.0740335
"New Orleans"	0.0739127
"Palo Alto"	0.0738573
Fresno	0.0737395
Luanda	0.0736699
Munich	0.0735439
Asmara	0.073487
JOHANNESBURG	0.0732581
"Park City"	0.073044
Bradenton	0.0726113
Oakland	0.0723964
Halifax	0.0723703
Clearwater	0.0723656
Fairfield	0.0722605
Eureka	0.0721102
Cincinnati	0.0720884
Essen	0.0720047
"Cedar Rapids"	0.0718481
Arlington	0.0718187
BRUSSELS	0.0718047
Algiers	0.0712344
Colorado	0.0711398
Alpharetta	0.0710756
Norcross	0.0710115
"Mexico City"	0.0708349
Dublin	0.0705302
"Guatemala City"	0.070439
Lima	0.0702627
Longview	0.0701995
Sydney	0.0701546
Littleton	0.0699917
Philadelphia	0.0699708
Bellevue	0.0699519
Wichita	0.0699014
Brisbane	0.0698634
"El Segundo"	0.0698354
Naples	0.0697827
Dakar	0.0695127
"Thousand Oaks"	0.068913
"South San Francisco"	0.0688622
Nassau	0.0688555
Manchester	0.0688424
CARACAS	0.0688247
Carlsbad	0.068745
Kandahar	0.0687322
Alexandria	0.0687225
Springfield	0.0687217
Durango	0.0686786
Winnipeg	0.0684521
Akron	0.0683415
"Daytona Beach"	0.0683225
SEOUL	0.0683129
Charlottesville	0.0682108
"San Juan"	0.0682003
BOGOTA	0.0681331
MELBOURNE	0.0681239
Prague	0.0680721
Zurich	0.0680288
Osaka	0.0677537
Pittsburgh	0.0676609
Breckenridge	0.0676316
Duluth	0.0676316
"New Haven"	0.0676039
Tuzla	0.0674612
Skopje	0.0674034
Gainesville	0.0673444
"Westchester County"	0.0668667
Virginia	0.0667891
Madrid	0.0667532
Vienna	0.0667483
Aspen	0.0666033
"Santa Barbara"	0.0665941
"Jersey City"	0.0665745
Bethesda	0.066408
Sarasota	0.066376
"Baton Rouge"	0.0663563
Hillsboro	0.0663083
Sunnyvale	0.066105
"Wichita Falls"	0.0659517
Holyoke	0.0659209
Glendale	0.0659113
Pueblo	0.065829
Herndon	0.0658049
TALLAHASSEE	0.0657978
"St. Paul"	0.0657102
Jakarta	0.0656315
Bangkok	0.0655201
Sausalito	0.0655187
"Research Triangle Park"	0.0654339
Dulles	0.0654325
Tempe	0.0653203
"Walnut Creek"	0.0652373
Hamburg	0.0651851
Guadalajara	0.0651295
Khartoum	0.0649421
Knoxville	0.0649176
Copenhagen	0.0647841
Savannah	0.064775
Missoula	0.0647478
"Garden City"	0.0646672
BUDAPEST	0.0646121
Milwaukee	0.0645585
"White Plains"	0.0645107
"Round Rock"	0.0644793
Rome	0.0644434
"Southern California"	0.0642995
Nagano	0.0642869
))
("Colorado State" (desc 6148.13) (sims
"Arizona State"	0.172463
"Mississippi State"	0.167939
"Ohio State"	0.164709
"Southwest Missouri State"	0.164652
"Oklahoma State"	0.164364
"Penn State"	0.159485
Rutgers	0.158954
"Fresno State"	0.158634
Purdue	0.158046
UNLV	0.157066
"Texas Tech"	0.156276
Alabama-Birmingham	0.152733
"Michigan State"	0.151546
"Weber State"	0.150953
"Kansas State"	0.150877
LSU	0.150793
"Utah State"	0.150033
Pepperdine	0.146574
"Washington State"	0.146177
"Iowa State"	0.145799
USC	0.145322
UCLA	0.144133
Cal	0.143407
Stanford	0.14264
Gonzaga	0.142301
"Louisiana Tech"	0.141977
"Brigham Young"	0.140714
BYU	0.140492
"San Diego State"	0.139884
"Oregon State"	0.138718
"Virginia Tech"	0.13817
"North Carolina State"	0.137756
"Old Dominion"	0.136214
"San Jose State"	0.134507
"Northern Arizona"	0.134207
"Notre Dame"	0.13226
Xavier	0.132166
"Arkansas State"	0.131828
"Florida State"	0.130151
"Scarlet Knights"	0.128396
"Boston College"	0.127688
"Louisiana State"	0.127194
Cornhusker	0.126992
Syracuse	0.126551
DePaul	0.125861
UConn	0.125588
Nebraska	0.125515
"Seton Hall"	0.125378
"UC Santa Barbara"	0.125028
"Saint Louis"	0.124871
"Australian Mark Philippoussis"	0.124501
"Georgia Tech"	0.123475
Auburn	0.123078
terrapin	0.122435
Vanderbilt	0.122293
SMU	0.121753
"New Mexico State"	0.121686
Oregon	0.120423
Clemson	0.119513
Tulsa	0.119462
Utah	0.118483
Villanova	0.115878
"Jackson State"	0.115166
"Appalachian State"	0.11475
"Montana State"	0.114546
"N.C. State"	0.113854
Hawkeyes	0.113497
TCU	0.113375
"East Carolina"	0.112767
"Wake Forest"	0.111248
"Long Beach State"	0.111031
"blue devil"	0.110978
northwestern	0.110773
Sooners	0.109043
"Indiana State"	0.109041
wildcat	0.107088
"Poul-Erik Hoyer-Larsen"	0.105566
Duke	0.105544
Huskers	0.104107
"Dallas Burn"	0.104058
Tennessee	0.103827
"Ball State"	0.10328
"Tar Heels"	0.103258
"Idaho State"	0.103255
"Nittany Lions"	0.10271
Wisconsin	0.102587
Colorado	0.102518
"Chicago Fire"	0.102501
Tulane	0.101969
Gators	0.101529
Kansas	0.101186
Michigan	0.100998
Evansville	0.10066
Arizona	0.100072
"Georgia Southern"	0.0998458
"Calgary Flames"	0.0995957
"Miami Fusion"	0.0992082
"Texas Christian"	0.0990086
Utes	0.0985838
"Fighting Irish"	0.0978814
Baylor	0.0974204
"Southern Mississippi"	0.0972199
Hokies	0.0966761
"Eastern Washington"	0.0966684
Jayhawks	0.0966669
"St. John"	0.0963111
Kentucky	0.096157
Connecticut	0.0948804
"St. Louis Rams"	0.0944605
"Buffalo Sabres"	0.0944593
"San Jose Sharks"	0.0943712
CSUN	0.094306
Wolfpack	0.0936233
"Green Bay"	0.0935596
"Minnesota Vikings"	0.093519
"West Virginia"	0.093511
Oklahoma	0.0928731
Marquette	0.0924034
NAU	0.0921999
"Richard Fromberg"	0.0921775
"North Carolina"	0.0920493
ASU	0.0919949
Seminoles	0.0917314
"Sandrine Testud"	0.0915495
"D.C. United"	0.0915394
Sanchez-Vicario	0.0914106
"St. Bonaventure"	0.0912398
Cincinnati	0.0906848
"New York Liberty"	0.0906545
"Miami Heat"	0.0906003
Arkansas	0.0904198
Georgetown	0.0904073
"Phenix City"	0.0902389
Steelers	0.0901724
"Florida Panthers"	0.0900358
Maryland	0.0900356
"Denver Broncos"	0.0899036
"American Chanda Rubin"	0.0897575
OSU	0.0895704
Miami	0.0894265
MetroStars	0.0893331
buckeye	0.0892901
"Cal State Northridge"	0.0885463
Boilermakers	0.0884628
Alabama	0.0884454
Illini	0.0883342
"Thomas Johansson"	0.0882154
"Nathalie Dechy"	0.0880066
bearcat	0.087967
"Tampa Bay Buccaneers"	0.0877085
"Arantxa Sanchez-Vicario"	0.0872483
"MaliVai Washington"	0.087122
"Horned Frogs"	0.0869519
"Loyola Marymount"	0.0867991
Indiana	0.0864306
"Detroit Red Wings"	0.0863679
"Lindsay Davenport"	0.0863665
"Nevada-Las Vegas"	0.0863132
Louisville	0.0862936
Vols	0.0862715
"Tampa Bay"	0.0861904
"Younes El Aynaoui"	0.0860879
Fordham	0.0860384
Minnesota	0.0859373
"Mariano Puerta"	0.0859137
"Alex Corretja"	0.0858736
"Green Bay Packers"	0.0857974
"Southern Cal"	0.0856998
Starzz	0.0856806
FSU	0.0855354
UMass	0.0855089
"Jana Novotna"	0.0853823
Valparaiso	0.0851939
"Venus Williams"	0.0847792
"Barbara Paulus"	0.0847058
"Judith Wiesner"	0.0846694
"Washington Redskins"	0.0845494
"New Mexico"	0.0844467
Wolverine	0.084358
"Southern California"	0.084289
"Thomas Enqvist"	0.0842829
"Red Wings"	0.0842062
"Dominique Van Roost"	0.084182
"Richard Krajicek"	0.0841585
"Arizona Cardinals"	0.0839851
"Sacramento State"	0.0839794
"Holy Cross"	0.0835255
"Red Raiders"	0.0835098
Razorback	0.0834129
Stephenville	0.0833461
"San Antonio Spurs"	0.0833397
Jacksonville	0.0831552
"Andre Agassi"	0.0830962
Lehigh	0.0829289
"New York Giants"	0.0828291
"Peter Nicol"	0.0824956
"Philadelphia Flyers"	0.0822896
Palmeiras	0.0822842
"Boise State"	0.0822723
"Indianapolis Colts"	0.0822204
))
("Colorado State University" (desc 1467.34) (sims
"University of Utah"	0.22588
"Pennsylvania State University"	0.222948
"Rockefeller University"	0.212971
"Purdue University"	0.212608
"George Washington University"	0.204309
"North Carolina State University"	0.199468
"University of Kentucky"	0.199412
"University of Illinois"	0.192997
"Kansas State University"	0.191619
"University of Minnesota"	0.191109
"University of New Hampshire"	0.188599
"Louisiana State University"	0.188374
"University of New Mexico"	0.188347
"University of Arizona"	0.185054
"Michigan State University"	0.179358
"University of Rochester"	0.178264
"Cornell University"	0.178084
"University of Florida"	0.177601
"Harvard School of Public Health"	0.17757
"Carnegie Mellon University"	0.177089
"Peking University"	0.176045
"University of Colorado"	0.173752
"University of Notre Dame"	0.173718
"Tufts University"	0.171498
"Iowa State University"	0.168448
"University of Toronto"	0.168093
"Johns Hopkins University"	0.166276
"University of Arkansas"	0.16534
"San Francisco State University"	0.165164
"Rutgers University"	0.164562
"Brigham Young University"	0.163562
"University of Hawaii"	0.163347
"George Mason University"	0.162209
"Temple University"	0.160109
"University of Kansas"	0.157412
"Queens College"	0.155361
"Rice University"	0.154541
"Brandeis University"	0.154439
"Arizona State University"	0.153232
"University of Michigan"	0.153163
"Vanderbilt University"	0.152769
"Cambridge University"	0.152186
"University of Chicago"	0.151835
"Hebrew University"	0.151669
"University of Washington"	0.151612
"Hunter College"	0.151535
"Northeastern University"	0.150921
"Georgetown University"	0.150456
"California Institute of Technology"	0.149847
"University of Cincinnati"	0.148672
"Harvard Business School"	0.148362
"Emory University"	0.14803
"University of Massachusetts"	0.148004
"University of Pennsylvania"	0.147461
"University of Maryland"	0.147024
"Ohio State University"	0.146866
"University of Houston"	0.146848
"Yale Law School"	0.144429
"University of Tennessee"	0.143618
"University of Oregon"	0.142639
"University of Wisconsin"	0.142036
"American University"	0.141908
"Wesleyan University"	0.140759
"Stanford University"	0.13936
"Massachusetts Institute of Technology"	0.139174
"Brown University"	0.138302
"University of Pittsburgh"	0.138019
"University of Oklahoma"	0.136918
"New York University"	0.134596
"Fordham University"	0.134549
"Syracuse University"	0.134056
"Duke University"	0.132908
"University of Texas"	0.132857
"University of Dayton"	0.132616
"Barnard College"	0.132225
"Fudan University"	0.130637
"Johns Hopkins"	0.129684
"University of Virginia"	0.129608
"Washington University"	0.129523
"Columbia University"	0.129462
"University of California"	0.127205
"Florida International University"	0.126998
"Howard University"	0.126981
"Texas Christian University"	0.126118
"Florida State University"	0.125549
"Williams College"	0.125395
"teachers college"	0.125357
"Washington State University"	0.124245
"University of Southern California"	0.124042
"Southern Methodist University"	0.122652
"Princeton University"	0.122582
"University of Georgia"	0.122218
"Dartmouth College"	0.119136
"Harvard Law School"	0.118913
CalTech	0.118855
"Yale university"	0.118614
"University of Connecticut"	0.117987
"University of North Carolina"	0.117688
"UC Berkeley"	0.117279
"Oxford University"	0.115476
"Nanjing University"	0.11543
"Harvard Medical School"	0.115324
"Wright State University"	0.115225
"Smith College"	0.115035
"Auburn University"	0.114822
"University of Missouri"	0.114174
UCSF	0.114072
"University of Iowa"	0.113297
Vassar	0.112823
Cornell	0.112009
"Harvard University"	0.111537
"Georgia State University"	0.111043
"University of Miami"	0.110013
"London School of Economics"	0.109823
"Indiana University"	0.109285
"State University of New York"	0.109016
"University of Mississippi"	0.108332
"McGill University"	0.107691
"Boston University"	0.105917
"University of Hong Kong"	0.105256
"Nankai University"	0.104692
"University of Zimbabwe"	0.104499
"Tehran University"	0.103789
"Northwestern University"	0.103646
"California State University"	0.103424
Emory	0.103397
"Catholic University"	0.102652
"John F. Kennedy School of Government"	0.101558
"University of Nebraska"	0.100876
"Hofstra University"	0.0992938
"Baylor College of Medicine"	0.0992937
"University of South Carolina"	0.098775
"Texas Tech University"	0.0987708
"City University of New York"	0.0971003
"University of Maine"	0.0970434
"College of Charleston"	0.0965363
"University of Nevada"	0.0959913
"Urban Institute"	0.0959441
"Dana-Farber Cancer Institute"	0.0950566
"Seton Hall University"	0.0949091
"Bell Laboratories"	0.0938399
"Kennedy School of Government"	0.0930323
"school of medicine"	0.0928018
"Media Lab"	0.0918116
MIT	0.0917529
"Juilliard School"	0.0895318
Sorbonne	0.0889764
"University of Alabama"	0.0877773
"Jet Propulsion Laboratory"	0.0871841
"Lawrence Livermore National Laboratory"	0.086956
"Baylor University"	0.0863887
"city university"	0.0862744
"University of Rhode Island"	0.0860632
"Wake Forest University"	0.0853112
"National Autonomous University of Mexico"	0.0839602
"U.S. Naval Academy"	0.0825175
"City College"	0.0821831
UMKC	0.0799014
"Beijing University"	0.0798584
"Bell Labs"	0.0796166
"RAND Corp."	0.0792779
"National Institute"	0.0771587
"University of Wyoming"	0.0771158
MGH	0.0770999
Hirst	0.0767596
"Cleveland Clinic"	0.0757755
"Makerere University"	0.0753939
"National Cancer Institute"	0.0745772
JPL	0.0733546
"National Institutes of Health"	0.0733359
"Chinese University of Hong Kong"	0.0733309
"Johnson Space Center"	0.0725023
"Memorial Sloan-Kettering Cancer Center"	0.0719456
"Carnegie Endowment"	0.0714457
Brandeis	0.070465
Juilliard	0.0702488
"Kent State"	0.070075
"Qinghua University"	0.0690236
"Woods Hole"	0.0679164
"Mount Sinai Medical Center"	0.0678789
"National Autonomous University"	0.067036
"Congressional Research Service"	0.0669802
"Brookings Institution"	0.0655671
"Wharton School"	0.0655297
"preparatory school"	0.0654625
"Mayo Clinic"	0.0654516
"Kennedy School"	0.0652984
criminology	0.0650845
"Mount Sinai Hospital"	0.0650551
Rutgers	0.0647681
"Trinity College"	0.0643148
UGA	0.0627328
UT	0.0624732
"Cato Institute"	0.0624091
"Graduate School of Business"	0.0621562
"Consumers Union"	0.0612333
Brigham	0.0612094
"Harvard College"	0.0594623
"biological science"	0.0592716
"Natural Resources Defense Council"	0.0583316
))
(coloration (desc 3030) (sims
hue	0.105114
timbre	0.0944259
coloring	0.0790023
texture	0.0770411
sonority	0.0726788
tint	0.0673457
palette	0.0662606
shading	0.0648398
articulation	0.0598142
inflection	0.0579135
virtuosity	0.0574279
earthiness	0.0568832
"skin color"	0.0564122
tonality	0.0554423
contour	0.0551599
nuance	0.0551176
plumage	0.0549628
undertone	0.0544394
overtone	0.0543295
intonation	0.0534648
sextet	0.0530249
colours	0.0527693
livery	0.0516916
patina	0.051629
elegance	0.0508965
"subject area"	0.0508508
stripe	0.0496418
geometry	0.049517
smoothness	0.0493998
reasonableness	0.0465938
blinder	0.0465071
eloquence	0.0461014
colour	0.0457128
granule	0.0454251
vibrato	0.0452283
mannerism	0.0448341
"circadian rhythm"	0.044816
expressiveness	0.0445513
dynamics	0.0443165
edginess	0.0440632
symmetry	0.0440547
diction	0.0440036
idiom	0.0436841
"architectural style"	0.043341
typeface	0.043335
"leadership role"	0.0432535
pastel	0.043239
radiance	0.042999
vernacular	0.0428484
"two pitchers"	0.0427835
phrasing	0.0425872
cadence	0.0424221
tinge	0.0422771
configuration	0.0421944
feathers	0.0421567
flair	0.0420794
lightness	0.0416743
resonance	0.0413463
experimenter	0.0413425
transcendence	0.0410779
"tone of voice"	0.0410602
MYSTIQUE	0.0408204
"tax treatment"	0.0407913
"warning light"	0.0404546
hypotheses	0.0403245
mind-set	0.0402353
refinement	0.0400415
))
(colorblind (desc 1216.14) (sims
health-conscious	0.0972139
non-Muslim	0.0963701
accepting	0.0834031
"Red Crescent"	0.081615
"Kosovar Albanian"	0.0755108
drug-free	0.0754126
Brahmin	0.0707593
"paying attention"	0.0652561
"pain in the neck"	0.063674
Hands-off	0.0630768
Kosovar	0.0627771
preteen	0.0615406
Melrose	0.0608657
complicit	0.0584644
Okinawan	0.0582349
"jumping up and down"	0.0581083
non-Jewish	0.0573781
Hokey	0.0570336
"making love"	0.0569943
well-trained	0.0569589
hyper	0.0563398
audubon	0.0562285
transsexual	0.0557583
siecle	0.0556032
lactose	0.0555825
"other seven"	0.0555652
Anglo	0.0554224
"mutually exclusive"	0.0552463
sounder	0.055145
proactive	0.0550873
Bigfoot	0.0549975
"upper class"	0.0546903
Driven	0.0539333
privy	0.0539261
pushover	0.0537974
"turning away"	0.0535057
Orwellian	0.0534343
picky	0.0532919
"laissez faire"	0.0532597
breadwinner	0.0529232
Ingush	0.0527881
Americanized	0.0524662
pantomime	0.0521369
Thirty-six	0.0519732
multitasking	0.0518796
"crazy quilt"	0.0515686
"hard worker"	0.0506963
cost-conscious	0.0501939
typecast	0.0498223
adopters	0.049761
antsy	0.049192
"Orthodox Christian"	0.0491156
joiner	0.0490721
supermodel	0.0487989
bedrock	0.048231
throwaway	0.0481562
"Three hundred"	0.0481225
worrier	0.0478875
"throwing away"	0.0477872
"four to five"	0.0474802
Javanese	0.0468111
"whipping boy"	0.0458942
mafioso	0.0458838
twitching	0.0454793
choirboy	0.0454591
Dassault	0.045293
cipher	0.0452114
"other six"	0.0449086
"New Democrat"	0.0447978
"guardian angel"	0.0446461
pro-life	0.0445124
tuning	0.0444461
doggone	0.0443686
"close to @@,@@@"	0.0443527
post-Soviet	0.0443229
"prima donna"	0.0441245
tomboy	0.0441177
"moral force"	0.0438003
humanist	0.0436306
hands-on	0.0434105
"mentally retarded"	0.0433556
CHEROKEE	0.0432728
slut	0.0432185
Thirty-nine	0.0427942
Navajo	0.0424445
take-no-prisoners	0.0419833
"more than @@@@"	0.0419291
Kook	0.0418714
Sioux	0.041698
"Orthodox Jewish"	0.0408029
"word meaning"	0.0406835
shaken	0.0406489
aero	0.0406104
"important person"	0.040556
well-served	0.0405031
here.	0.0403377
anything-goes	0.0402517
Thirty-four	0.0402274
Younger	0.0400577
))
("Colored People" (desc 1959.27) (sims
NAACP	0.178794
"National Urban League"	0.10779
"National Council of La Raza"	0.106383
"National Education Association"	0.0745479
"American Red Cross"	0.0621019
"Legg Mason"	0.0613623
VFW	0.0599576
UFW	0.0598621
"Consumers Union"	0.0595859
"American Legion"	0.0590628
"Sierra Club"	0.0588908
"Ameritech Corp."	0.0582477
ILO	0.0537137
SCLC	0.0534585
"Planned Parenthood"	0.0531434
"Family Research Council"	0.0518199
"opposition party"	0.0517705
"Orange Order"	0.0513304
"girl scout"	0.05127
"American Lung Association"	0.0506459
ADL	0.0503523
"Alcoholics Anonymous"	0.0499036
"Violence Policy Center"	0.0496598
"Christian Coalition"	0.0494973
"American Heart Association"	0.0492496
"Southern Baptist"	0.048624
"Electronic Privacy Information Center"	0.0484673
"National Association of Broadcasters"	0.0476796
"Rainbow/PUSH Coalition"	0.04707
"American Civil Liberties Union"	0.0469324
"Preakness Stakes"	0.0466805
"Public Health"	0.0465329
"Electronic Frontier Foundation"	0.0457847
"International Rescue Committee"	0.0453049
Lakas	0.0452682
"Western Union"	0.0444255
"security consultant"	0.0441491
"Air Transport Association"	0.0441273
"Tamil Eelam"	0.0440773
"Nahdlatul Ulama"	0.0439769
Mensa	0.0438171
"American Bar Association"	0.0436611
"Independence Party"	0.0436412
"Iraqi National Congress"	0.0430011
AARP	0.042906
"Audubon Society"	0.0428134
Laban	0.0427038
"Human Rights Campaign"	0.0421149
"American Medical Association"	0.0420988
"Moro National Liberation Front"	0.0418807
"Oak Tree"	0.041431
"Transparency International"	0.0412286
PML-N	0.0410815
"Southeastern Legal Foundation"	0.0409835
"Small Business Administration"	0.0405665
NC	0.0402438
"Pan Africanist Congress"	0.0400179
))
(coloring (desc 4600.43) (sims
coloration	0.0790023
pigment	0.0745044
timbre	0.0724769
tint	0.0637686
sweetener	0.0555022
livery	0.054659
"blood type"	0.0541075
shading	0.0533474
hue	0.0525428
crimson	0.0524227
inflection	0.0511347
preservative	0.0508404
"chemical warfare"	0.0498349
"corn syrup"	0.0482525
colours	0.0480777
"singing voice"	0.0476984
amplitude	0.0476535
"yellow light"	0.0475959
"biological warfare"	0.0472446
stripe	0.0472187
sarcophagus	0.0463278
texture	0.0457676
palette	0.0455175
persimmon	0.045293
embroidery	0.0452311
numeral	0.0445156
complexion	0.0442022
padding	0.0441933
embellishment	0.0439248
"food coloring"	0.043728
flavoring	0.0436435
undertone	0.0435846
Sari	0.0434412
tress	0.0431502
"speech pattern"	0.0427779
toenail	0.0427137
"color scheme"	0.0424985
lipstick	0.0421723
wainscoting	0.0418754
layering	0.0416245
lettering	0.0415384
mustache	0.0415054
obit	0.0414944
oomph	0.0413262
Contraception	0.0413057
icing	0.0411705
fur	0.0410744
beret	0.0409462
contour	0.0407079
marking	0.0406292
luster	0.0405932
patina	0.0404555
"almond extract"	0.0403356
splotch	0.0402681
clotting	0.0401283
))
("coloring book" (desc 1694.36) (sims
Play-Doh	0.0853177
"trading card"	0.0851404
knickknack	0.0746201
dinnerware	0.0695779
"sheet of paper"	0.0688288
"greeting card"	0.0651016
notepad	0.064098
thesaurus	0.0638238
workbook	0.063456
"board game"	0.0626026
stationery	0.0623553
"chewing gum"	0.0613931
"tissue paper"	0.058082
reagent	0.0565499
pamphlet	0.0554332
Barbies	0.0552579
eraser	0.0549529
"compact disk"	0.054758
"sheet music"	0.054215
"telephone book"	0.0539388
"compact disc"	0.0539017
trinket	0.0537735
confectionery	0.053481
periodical	0.0532347
"comic book"	0.0531645
"GI Joe"	0.0519272
"scientific instrument"	0.0513173
"picture book"	0.0507604
smooch	0.0503407
"life vest"	0.0497308
"tape recorder"	0.0495289
"Bengal tiger"	0.0492903
chessboard	0.0484794
toiletry	0.0482005
bookshop	0.0480106
"Princess Mononoke"	0.0475474
"religious ceremony"	0.0469913
"jigsaw puzzle"	0.0467941
hydraulics	0.0465609
collectibles	0.0463134
e-BOOKS	0.0460579
"slip of paper"	0.0460178
Matchbox	0.0458713
shades	0.0455142
Legos	0.0454897
"cassette tape"	0.045321
"spider web"	0.0451644
"floor plan"	0.0451631
weekender	0.045057
"beach towel"	0.0447545
bib	0.0447201
"Wear Daily"	0.0446598
"alarm clock"	0.0444988
"architectural style"	0.0441952
tomboy	0.043894
pompom	0.0430722
barrette	0.04301
calculator	0.0428489
cassette	0.0425837
women.com	0.0424814
"consumer electronics"	0.0423321
"school boy"	0.0422734
tableware	0.0422273
topiary	0.0419361
goody	0.0419158
talkie	0.0419033
"water jug"	0.0417935
"fortune cookie"	0.0417756
DNR	0.0417706
"reference book"	0.0417446
VCDs	0.041403
"Aryan Nations"	0.0413376
"Foxy Brown"	0.0410639
"blind spot"	0.041044
"newspaper column"	0.0408254
Furby	0.0408164
comforter	0.0405787
"wedding gown"	0.0405515
"jam session"	0.0405511
dimple	0.0405438
"airplane ticket"	0.0404798
))
(colorist (desc 1312.75) (sims
stylist	0.123638
draftsman	0.107713
"art director"	0.0925049
"interior decorator"	0.0871053
D.J	0.0868145
"volleyball player"	0.0794569
portraitist	0.0733448
"costume designer"	0.073137
animator	0.0730277
Intimidator	0.0703708
decorator	0.0697139
manicurist	0.0687786
Solver	0.0687538
"stage manager"	0.0683435
"electrical engineer"	0.0658467
individualist	0.0651112
sommelier	0.0644331
tactician	0.0641705
restorer	0.063051
Litigator	0.0624794
technologist	0.0615564
dealmaker	0.0595868
pitchman	0.058941
horticulturist	0.0588355
"pass catcher"	0.0584992
"account executive"	0.0584215
outdoorsman	0.0582296
"staff officer"	0.0580828
violinist	0.0575882
manipulator	0.0571679
deejays	0.0570131
ventriloquist	0.0559347
miler	0.055843
stevedore	0.0549482
"sense of balance"	0.0549306
sculptor	0.0547587
barrette	0.054665
motivator	0.0542422
scheduler	0.0539797
endorser	0.0538875
copywriter	0.0536569
innkeeper	0.0531243
pugilist	0.0523794
hairstylist	0.0517674
genealogist	0.0517455
"musical score"	0.0511811
"art student"	0.0511591
organist	0.0510475
DJ	0.0507044
cinematographer	0.0506524
physiologist	0.0506023
communicator	0.0505089
cultivator	0.0501385
wordsmith	0.0498888
abolitionist	0.0498673
puppeteer	0.0486678
"young person"	0.0484486
"piece of work"	0.0476535
"softball game"	0.0476454
illustrator	0.0476411
"test pilot"	0.0471634
"Michael Graves"	0.0469222
integrator	0.046832
"chess player"	0.0466055
animators	0.0465661
raconteur	0.0464923
"movie maker"	0.0463233
has-been	0.0462809
debater	0.0461861
curmudgeon	0.0461187
"camera angle"	0.0460296
"divorce lawyer"	0.0460034
birder	0.0457491
"young actress"	0.045204
"financial officer"	0.0451426
impersonator	0.0450882
"science teacher"	0.0448751
musicologist	0.0446178
bodybuilder	0.0444798
electrician	0.0441388
scriptwriter	0.044014
"security consultant"	0.044013
sycophant	0.0437386
"vote counter"	0.0436649
craftsmanship	0.0436251
"card holder"	0.0436246
photojournalist	0.0434192
"aerospace engineer"	0.0434184
"landscape architect"	0.0432837
prizefighter	0.0430473
accompanist	0.0425731
"John F. Kennedy Library"	0.0425119
chaser	0.0424927
raiser	0.0424056
"copy editor"	0.0422015
"mechanical engineer"	0.0421224
anagram	0.0420431
toxicologist	0.0419464
"bon vivant"	0.0418289
craftsman	0.0417413
Rottweiler	0.0415655
batboy	0.0415292
immunologist	0.0415096
starlet	0.0413726
"drama critic"	0.0413631
"drawing power"	0.0412255
"hockey coach"	0.0411398
forger	0.0410771
purifier	0.0410338
"medical officer"	0.0410058
kayaker	0.0409448
blacksmith	0.0407758
"prosecuting attorney"	0.0405318
segregationist	0.0403691
pleaser	0.0402947
horseman	0.0402752
"spin doctor"	0.0401526
"altar boy"	0.0401075
paraplegic	0.0400737
Propecia	0.0400453
Mulligan	0.0400096
))
(Colosseum (desc 1391.22) (sims
Basilica	0.110534
Parthenon	0.101201
"city block"	0.100491
Stonehenge	0.098649
Acropolis	0.0970991
"Sydney Opera House"	0.0960178
"World Food Summit"	0.0917565
"Empire State Building"	0.0910135
"Washington Monument"	0.0870907
"St. Peter"	0.0846013
"blast furnace"	0.0780696
kiln	0.076899
"Taj Mahal"	0.0739388
"international criminal court"	0.0708314
hominid	0.0671873
steeple	0.0670255
"bell tower"	0.0670228
Bund	0.0668133
Coliseum	0.0656794
"Chrysler Building"	0.0654524
"pipe organ"	0.0633707
Persia	0.0631624
"mushroom cloud"	0.0627381
Pompeii	0.062422
"Civil Rights Act"	0.0622061
fortification	0.0617028
"law practice"	0.0614432
"Olympic Stadium"	0.0613778
"Royal Opera House"	0.061254
"Great War"	0.0611835
nunnery	0.0611003
pyramid	0.0609445
"live oak"	0.0598404
Athenian	0.0593326
"Great Wall"	0.0589214
nave	0.0589048
amphitheater	0.0588929
"Egyptian capital"	0.0588498
cloister	0.0585738
Olympia	0.0575734
"Passion play"	0.0574364
tombstone	0.0569811
"Shang Dynasty"	0.0564733
"opera house"	0.0560465
Lighthouse	0.0547302
cellblock	0.0542875
"electronic database"	0.0542181
goalpost	0.053868
fortress	0.0538342
"funeral director"	0.0538052
"Potala Palace"	0.0534797
"Golden Gate Bridge"	0.0532707
Reichstag	0.0530396
"Forbidden City"	0.0525222
mausoleum	0.0524833
"volcanic eruption"	0.0519471
"De Soto"	0.0517349
"West Lake"	0.0514623
"Italian Open"	0.0514549
Sphinx	0.0514027
caldron	0.0510389
"telephone pole"	0.0510186
"science museum"	0.0506598
"Brooklyn Bridge"	0.0506528
Mesopotamia	0.0506377
"Boston Harbor"	0.0506187
"Victoria Harbor"	0.0503916
skyline	0.0501346
lamasery	0.0499948
"Angkor Wat"	0.0497142
"sailing vessel"	0.0496259
"concert hall"	0.0494703
Sabra	0.0492457
Chateau	0.0491172
Sacagawea	0.0490936
imposter	0.0489932
cobblestone	0.0487458
"dance hall"	0.0487162
edifice	0.0483362
superstructure	0.0479094
"Continental Airlines Arena"	0.0475457
Palazzo	0.0473581
"football field"	0.0473413
Baalbek	0.0472851
Petra	0.0472482
quarry	0.047202
"third line"	0.0469229
"Grand Canyon National Park"	0.0468704
"PT Cruiser"	0.0466835
"Memorial Hall"	0.0466124
"camp site"	0.0465121
"Liberty Bell"	0.0464854
NMD	0.0463742
"place setting"	0.0461249
Opry	0.0460167
sarcophagus	0.0459193
spire	0.0458792
watchtower	0.0458319
"shooting star"	0.0457729
"Eiffel Tower"	0.0457391
"country house"	0.0456837
"Sleepy Hollow"	0.045557
"Ebbets Field"	0.045453
Gibraltar	0.0454122
"Kiel Center"	0.0452794
"bank building"	0.0451352
gravestone	0.0450957
grotto	0.0449585
Sodom	0.0446375
"oil slick"	0.0446121
"Ottoman Empire"	0.044399
megaplexes	0.0443792
"Union Jack"	0.0443695
"Jakarta Stock Exchange"	0.0443653
"Around @@"	0.044312
particulates	0.0442617
"Summer Palace"	0.0442473
"burial ground"	0.0440819
"United States Embassy"	0.0440332
Sequoia	0.044013
viaduct	0.0439483
"ping-pong ball"	0.0438937
Alero	0.0434966
Aqueduct	0.0434741
minaret	0.0434394
"Museum of Contemporary Art"	0.0433146
"flying saucer"	0.0432906
"deficit spending"	0.0431938
abbey	0.0431787
"stone wall"	0.0431178
"MCI Center"	0.0431071
sawmill	0.0430332
"football stadium"	0.0429699
"Airbus A@@@"	0.0428355
"Infantry Battalion"	0.0425039
pageantry	0.0424819
"Lijiang River"	0.0424233
"Statue of Liberty"	0.0422893
A@XX	0.0422158
Babylon	0.0421895
conclave	0.0421295
supplicant	0.0421033
Takanohana	0.0419346
"Dorothy Chandler Pavilion"	0.041925
overpass	0.0419161
"New York City Marathon"	0.0417743
"Grand Canal"	0.0417197
"ring road"	0.0416982
"hole in the ground"	0.0416951
"steel mill"	0.0415704
"Serbian Orthodox Church"	0.0414909
silo	0.0413859
"prison cell"	0.0411311
Chinese-Indonesians	0.0410023
crematorium	0.0409438
"master bedroom"	0.040915
hieroglyphic	0.0409031
"more than @,@@@ kilometers"	0.0408265
"ocean liner"	0.0407672
"fish tank"	0.0407597
Butte	0.0406828
"street lamp"	0.0405563
complainant	0.0404991
"Constitutional Assembly"	0.0403014
"Noureddine Morceli"	0.0402821
"non-governmental organizations"	0.0402036
Superdome	0.0400401
stele	0.0400323
"Russian Orthodox Church"	0.0400255
))
(Colossus (desc 5259.44) (sims
behemoth	0.0805076
monolith	0.0662365
conglomerate	0.0570537
juggernaut	0.057001
empire	0.055321
superpower	0.0550728
powerhouse	0.0534031
"international criminal court"	0.0513621
"point system"	0.0503556
subgenre	0.0498133
leviathan	0.0495987
"distribution network"	0.0489471
"success story"	0.0481581
"African Union"	0.0480121
"computer giant"	0.047629
fief	0.0475084
"software maker"	0.0474814
innovator	0.0469204
epoch	0.0462204
"holding company"	0.0447432
"bond offering"	0.0438111
marketer	0.043503
monopolist	0.0432198
suction	0.0425938
edifice	0.0423955
"consulting company"	0.0422191
"intelligence operation"	0.0419354
fiefdom	0.0416522
"electronic database"	0.0416255
serviceman	0.0414659
Goliath	0.04118
"utility program"	0.0411672
"endowment fund"	0.0409389
distillation	0.0408762
Thinkpad	0.040654
"League of Nations"	0.0405084
"Kosovo Verification Mission"	0.040031
))
(colour (desc 4973.2) (sims
colours	0.105953
hue	0.08246
"wide screen"	0.0752872
"skin color"	0.0582099
texture	0.0580114
tint	0.0552259
timbre	0.0529703
livery	0.050608
"black and white"	0.050143
crimson	0.0500151
pallor	0.0494165
vibrato	0.0487236
font	0.048541
"body type"	0.0483849
"blood type"	0.0481407
Fragrance	0.0475579
pigment	0.0463303
coloration	0.0457128
wavelength	0.0444541
inflection	0.0435747
stripe	0.043266
wristband	0.043097
creed	0.0418734
"dress uniform"	0.0418671
brightness	0.0416359
pastel	0.0403503
odor	0.040201
))
(colours (desc 1097.82) (sims
colour	0.105953
"No. @s"	0.0634532
palette	0.0614175
hue	0.0595004
"sport shirt"	0.0568339
coloration	0.0527693
timbre	0.0526339
"sweat pants"	0.0505497
typeface	0.0501959
Estimations	0.0496713
miniskirts	0.049583
fuchsia	0.0494405
coloring	0.0480777
intimation	0.0477807
embellishment	0.0477097
"skin color"	0.0475935
"wall painting"	0.0475634
pigment	0.0475248
"root vegetable"	0.0465467
sarong	0.0459475
REPELLENT	0.0459267
suspender	0.0454492
"computing system"	0.0446208
meanderings	0.0445644
"business line"	0.0444132
acoustics	0.0443065
shades	0.044045
personae	0.043864
ephedra	0.0436574
livery	0.0429174
wainscoting	0.0428436
vibrato	0.0426912
Sari	0.0425992
complexion	0.0424831
orchestration	0.0418898
"dress shirt"	0.0417451
"sex act"	0.0413982
aqua	0.0412893
"cast of characters"	0.0412085
there.	0.0410292
rosette	0.0409939
peptide	0.0408075
O's	0.0403849
"center of gravity"	0.0403491
wristband	0.0401572
moustache	0.0401203
))
(colt (desc 46538.8) (sims
filly	0.184957
Redskin	0.179895
BEARS	0.164479
bronco	0.160181
"Indianapolis Colts"	0.15792
ram	0.155784
Giants	0.154551
Bengals	0.151599
Eagles	0.151565
Seahawks	0.14683
falcon	0.146691
packer	0.144808
horse	0.140068
"Silver Charm"	0.139221
Silverbulletday	0.137878
Steelers	0.137418
"Real Quiet"	0.137198
charger	0.136191
BUCCANEER	0.135681
Viking	0.135421
oiler	0.135152
patriot	0.135087
Raven	0.133101
cowboy	0.131187
gelding	0.131068
cardinal	0.130487
panther	0.130155
dolphin	0.129694
"Minnesota Vikings"	0.129316
raider	0.128529
"New York Jets"	0.127973
"Excellent Meeting"	0.124904
"Washington Redskins"	0.123498
charismatic	0.122206
"St. Louis Rams"	0.121697
Bucs	0.121631
"New York Giants"	0.120468
Jaguar	0.119639
wildcat	0.113829
"Cleveland Browns"	0.112832
"Seattle Seahawks"	0.11181
"Chicago Bears"	0.110704
Menifee	0.110136
"ATLANTA FALCONS"	0.109955
"Tampa Bay"	0.109137
"San Francisco @@ers"	0.109032
pacer	0.108796
"Dallas Cowboys"	0.108701
"Red Bullet"	0.10826
jet	0.107733
Saint	0.106821
"Miami Dolphins"	0.106783
"Fusaichi Pegasus"	0.106265
"Buffalo Bills"	0.105692
"Denver Broncos"	0.105563
bruin	0.104737
titan	0.104735
Chilukki	0.103959
bulldog	0.103395
"Cat Thief"	0.102917
"Victory Gallop"	0.102271
"Green Bay"	0.101667
clipper	0.101517
Celtics	0.100848
lion	0.100581
Lakers	0.10035
A's	0.100291
Trojan	0.100232
"Green Bay Packers"	0.0998915
Padre	0.0996407
bull	0.0995913
"Kansas City Chiefs"	0.099538
"Philadelphia Eagles"	0.099197
Longhorn	0.0983638
"San Diego Chargers"	0.0983579
"New England Patriots"	0.0969939
"Cincinnati Bengals"	0.0969408
"Oregon State"	0.0965367
Mets	0.0965214
"Penn State"	0.0960241
husky	0.0959591
Seminoles	0.0955367
"Oakland Raiders"	0.0951246
ASTROS	0.094769
Orioles	0.0945347
"Skip Away"	0.093785
cub	0.0932075
"Worldly Manner"	0.0930323
Phillies	0.0926173
MetroStars	0.0923294
Indianapolis	0.0921304
"Red Sox"	0.0920859
"White Sox"	0.0919352
"Arizona Cardinals"	0.0915466
Denver	0.0914739
"Tennessee Titans"	0.0909304
"Chicago Bulls"	0.0909086
Vols	0.0903974
"Free House"	0.0894641
"Carolina Panthers"	0.08908
matador	0.0887966
Tennessee	0.0887865
"Golden State Warriors"	0.0887849
Sonics	0.0884076
Aggies	0.0879437
UCLA	0.0877699
"Tampa Bay Buccaneers"	0.087765
Behrens	0.0877398
"Los Angeles Lakers"	0.0877239
Jacksonville	0.0876423
"Detroit Lions"	0.087602
Carolina	0.0875549
USC	0.0874475
dodger	0.0871827
"Los Angeles Clippers"	0.0868718
"Pittsburgh Steelers"	0.0865654
Gators	0.0863041
grizzly	0.0861883
"Florida State"	0.086037
Yankee	0.0860263
brave	0.0860166
Sooners	0.0859947
Dallas	0.0859055
Knicks	0.0856784
"blue jay"	0.0852122
Minnesota	0.0851352
"Ohio State"	0.0850338
buckeye	0.0849284
"Prime Timber"	0.084917
marlin	0.0845659
"Red Wings"	0.0842909
spur	0.0841093
Miami	0.0840368
Canuck	0.0835628
"Kansas State"	0.0835083
team	0.0834641
maverick	0.0833523
"New Orleans Saints"	0.0833269
"St. Louis"	0.0832498
"Dallas Mavericks"	0.0832052
ranger	0.0829565
"Cleveland Indians"	0.0824072
Detroit	0.0822272
Hornet	0.0820753
Pittsburgh	0.0820668
"Indiana Pacers"	0.081503
"St. Louis Cardinals"	0.0811163
"Lemon Drop Kid"	0.0810179
pirate	0.0809424
islander	0.0809214
piston	0.0807115
"Michigan State"	0.0805687
"Tar Heels"	0.0803203
"New York Knicks"	0.0802021
"Los Angeles Dodgers"	0.0799118
"Iowa State"	0.0798175
sabre	0.0796677
gamecock	0.0795029
Cincinnati	0.0794367
Boilermakers	0.0793286
Stanford	0.0792623
"Houston Rockets"	0.0792207
"Montreal Expos"	0.0791728
Nebraska	0.0791595
Cornhusker	0.0791172
"blue devil"	0.0789093
Sox	0.0788981
"Sacramento Kings"	0.0788763
Arizona	0.0788297
"New York Yankees"	0.0784931
Wolverine	0.0784751
cougar	0.0784152
Cleveland	0.0781747
"Kansas City Royals"	0.078159
mariner	0.0779797
"Cincinnati Reds"	0.0778723
"Banshee Breeze"	0.0776916
tiger	0.0776624
"Los Angeles Rams"	0.0776457
Raptor	0.0775324
Oakland	0.0773157
"Arizona State"	0.0772932
"Jacksonville Jaguars"	0.0772594
diamondback	0.0772549
Timberwolves	0.0771852
devil	0.0770987
"Oakland Athletics"	0.0767037
"Chicago Cubs"	0.0765982
"Nittany Lions"	0.0764445
Buffalo	0.0762395
"Atlanta Braves"	0.0761547
"Detroit Pistons"	0.0760842
"Washington Wizards"	0.0758966
"Louisiana Tech"	0.0755973
hawk	0.075529
"High Yield"	0.0755178
"Houston Astros"	0.0752165
"New York Rangers"	0.0750918
"Oklahoma State"	0.075033
"Boston Red Sox"	0.0750221
))
(COLTEC (desc 1298.72) (sims
"Thermo Electron"	0.249816
"U.S. Trust"	0.226475
Petrofina	0.218881
XYLAN	0.213742
RJR	0.213243
ALZA	0.212379
NatWest	0.209537
ascend	0.207639
Pairgain	0.200294
Chris-Craft	0.197289
Asarco	0.197166
"Pacific Century"	0.195701
Tenneco	0.191907
Emulex	0.191258
Warnaco	0.191083
Asda	0.190817
SmithKline	0.18974
Ciena	0.18593
TYCO	0.185919
Mannesmann	0.181932
TELLABS	0.177763
VENATOR	0.176846
"Fred Meyer"	0.176657
McKesson	0.175602
SDL	0.174383
Nabisco	0.172778
YPF	0.172243
"Union Carbide"	0.1707
"Y&AMP;R"	0.169945
Bestfoods	0.167746
Healtheon/WebMD	0.166012
Starwood	0.165777
"National Grid"	0.165332
VoiceStream	0.165178
HBOC	0.163847
Alcan	0.162378
Georgia-Pacific	0.161066
Avondale	0.159619
Cendant	0.159094
"P&AMP;G"	0.159052
Cabletron	0.158784
Zapata	0.157804
AutoNation	0.157101
Fingerhut	0.155452
Humana	0.155089
Warner-Lambert	0.153824
Berkshire	0.153538
Daimler	0.153334
"U S West"	0.153069
"Bay Networks"	0.150307
"Atlantic Richfield"	0.149514
"Newport News"	0.149157
Broadcom	0.148745
Broderbund	0.148446
"HBO &AMP; Co."	0.148122
WPP	0.147787
"American Home"	0.147743
Copley	0.147611
Healtheon	0.14716
Infoseek	0.146658
Comsat	0.146564
ENTERGY	0.145731
ARCO	0.144909
Stratus	0.14489
BCE	0.144431
"Stride Rite"	0.144241
Clorox	0.14386
Dresdner	0.1422
"Boston Scientific"	0.141562
IDT	0.141
"KCP&AMP;L"	0.140978
Terra	0.140573
NORTHROP	0.140291
Norwest	0.139674
MiniMed	0.13918
NiSource	0.138186
Airtouch	0.137726
Seagate	0.136808
VICKERS	0.136427
"Learning Co."	0.13556
Weyerhaeuser	0.135371
Conseco	0.134994
BankBoston	0.134851
"Air Canada"	0.134671
Sunbeam	0.134394
Honeywell	0.134329
"RJR Nabisco"	0.134248
AMR	0.132317
Seagram	0.132045
"Telecom Italia"	0.131756
Viag	0.131044
Qwest	0.130765
"Niagara Mohawk"	0.130637
"Global Crossing"	0.130636
Aetna	0.130297
Vivendi	0.129926
IMS	0.129335
AHP	0.129152
Mediaone	0.128988
NTL	0.128793
"Rite Aid"	0.128436
PEOPLESOFT	0.127839
BankAmerica	0.127001
Sibneft	0.126438
Genentech	0.125938
"Nippon Credit"	0.125351
Incyte	0.124714
Aegon	0.123929
Paribas	0.123769
Chiron	0.122879
Cerent	0.122776
UAL	0.122567
Glaxo	0.122523
"Times Mirror"	0.121983
"Dayton Hudson"	0.121886
Medtronic	0.121842
"Allied Signal"	0.121676
"First Union"	0.121459
"Phelps Dodge"	0.121386
Omnipoint	0.121361
Mattel	0.120962
GTE	0.120616
AMP	0.12034
Biogen	0.119882
Texaco	0.119722
Halliburton	0.119664
E-LOAN	0.1196
ExciteAtHome	0.119547
SGI	0.119226
Livent	0.119202
SkyTel	0.118538
"Advanced Micro"	0.117645
"BankBoston Corp."	0.11763
Genzyme	0.117
Penney	0.116891
GeoCities	0.116137
Schlumberger	0.115848
"Societe Generale"	0.115668
AGL	0.115213
"Berkshire Hathaway"	0.115102
Danka	0.114758
"International Paper"	0.114684
Astra	0.114382
"Food Lion"	0.113752
HomeGrocer.com	0.113619
CMGI	0.113525
Sepracor	0.113239
Vodafone	0.11301
EarthLink	0.112932
EMC	0.112929
FPL	0.11255
Gilead	0.112362
"BP Amoco"	0.111802
GPU	0.111801
Harcourt	0.111575
TKT	0.111209
"Wells Fargo"	0.111057
Broadcast.com	0.110392
Northpoint	0.110244
Lycos	0.109817
Nextel	0.109631
Transamerica	0.109287
"Ask Jeeves"	0.10849
"Waste Management"	0.107213
Tandy	0.1069
"Bausch &AMP; Lomb"	0.106852
adobe	0.106085
Mobil	0.105853
WELLPOINT	0.105832
Amgen	0.105623
BofA	0.104975
Eurotunnel	0.104763
Dexter	0.104544
Nortel	0.104474
Telefonica	0.103964
CCE	0.103914
WebMD	0.103331
"US Airways"	0.103156
Hoechst	0.102797
Gillette	0.102548
Amoco	0.102417
Alcoa	0.101963
WorldCom	0.101761
ITT	0.101713
"Bank of Scotland"	0.101045
Oneida	0.10086
Kellogg	0.100532
GEC	0.100308
Goodrich	0.100161
"San Miguel"	0.100147
Autodesk	0.100015
"US West"	0.0998393
Corning	0.0998216
Scania	0.099732
Litton	0.0995314
REVLON	0.0994943
Micron	0.0985404
Gymboree	0.0984089
PLDT	0.0984024
Lilco	0.0980834
))
(Coltrane (desc 1260.17) (sims
Setzer	0.105746
"Lewis Carroll"	0.100586
Morissette	0.079113
Cobain	0.0765179
Blondie	0.0666665
Puente	0.0652749
Marsalis	0.0640073
Tilberis	0.0637895
Joplin	0.0636704
Webern	0.0634203
Villar	0.0627073
Ellington	0.0619381
"Steely Dan"	0.0595436
Stepinac	0.05943
"George Gershwin"	0.0593043
Mellencamp	0.0591596
Presley	0.0589648
Monteverdi	0.0587715
Boulez	0.0571211
Reinhardt	0.0564094
Wendt	0.055922
Susann	0.0552699
Shatner	0.0547946
"Duke Ellington"	0.0544737
LaChiusa	0.0541656
Galbraith	0.0540411
Grbac	0.0527191
Springsteen	0.0526687
"Bob Marley"	0.0521082
typo	0.0520272
"Jerry Garcia"	0.0518592
Bartholomew	0.0518092
Trevi	0.0515156
"hue and cry"	0.0513903
Robeson	0.0506169
"Virginia Woolf"	0.0501644
"Bora Milutinovic"	0.0501183
astrologer	0.049935
Manson	0.049543
Henley	0.0492367
Messina	0.0492123
RFK	0.0486915
Kasyanov	0.0483418
Burleigh	0.0483175
Autry	0.0476164
"Harry Sinden"	0.0475378
Rachmaninoff	0.0474878
Isikoff	0.047393
Alicea	0.0472808
"Indigo Girls"	0.0472717
Fleisher	0.0471665
Tierney	0.0470518
"Gore Vidal"	0.0470111
Weill	0.0469227
Gershwin	0.0469206
McPherson	0.0468411
Copland	0.046782
Gillespie	0.0467045
Albrecht	0.0466911
Hildegard	0.0466175
Forrest	0.0462501
"Heather Locklear"	0.0459576
Bolcom	0.0459469
Hahn	0.0458685
Berri	0.0454596
Silverstein	0.0453167
"Lou Holtz"	0.0452199
Midler	0.0446073
Marceau	0.0445132
Marley	0.0443609
Moby	0.0441671
Ruehe	0.0441528
Rifkind	0.0438756
markdowns	0.0437584
Krall	0.0437104
Rowan	0.0435646
Sondheim	0.0434976
Clapton	0.0434954
ROMNEY	0.0434846
"Moby Dick"	0.0434673
Keenan	0.0431152
Raitt	0.0430821
Bartok	0.043034
Juneteenth	0.0430007
Jaffe	0.0429973
McCullough	0.0429037
Lowery	0.0428299
Ballmer	0.0421853
Cline	0.0418629
grandkids	0.041795
Coronado	0.0416376
Karmazin	0.0415677
"Susan Sontag"	0.0414044
Handspring	0.0413795
Jonsson	0.0413001
Murayama	0.04127
Hedwig	0.0411593
Greenberg	0.041028
Hartsburg	0.0410199
"Aaron Copland"	0.0409252
goosebumps	0.0408621
"Diana Ross"	0.0408287
Marchand	0.0406933
cosmologist	0.0405956
Twenty-three	0.0405497
"Wes Craven"	0.0405328
Orwell	0.0403648
ancients	0.0402773
Kennard	0.0402454
Lennon	0.0401509
Wiseman	0.0401179
"Benny Goodman"	0.0400769
))
(Columbia (desc 41773.6) (sims
endeavour	0.153334
"Columbia University"	0.152857
Yale	0.1479
Princeton	0.137562
"University of Chicago"	0.136514
Cornell	0.129688
Harvard	0.129518
"Yale university"	0.12765
"New York University"	0.123126
MIT	0.12272
"Stanford University"	0.120151
Atlantis	0.116623
Oxford	0.115464
"University of Michigan"	0.112749
Stanford	0.107596
"Northwestern University"	0.10579
"Princeton University"	0.105295
"Brown University"	0.104248
Dartmouth	0.103112
"Duke University"	0.100625
"Harvard University"	0.100489
"Massachusetts Institute of Technology"	0.0987817
"University of Texas"	0.0982675
"University of Pennsylvania"	0.098065
"Boston University"	0.0977876
"University of Southern California"	0.097271
Berkeley	0.0969512
"American University"	0.0967564
"University of California"	0.0959462
"University of Wisconsin"	0.095898
"Harvard Law School"	0.0946383
"George Washington University"	0.0944469
"Harvard Business School"	0.0942417
Georgetown	0.0941723
Greenville	0.0939209
"University of Washington"	0.0931632
"University of Virginia"	0.0929921
"Syracuse University"	0.0926856
"Cornell University"	0.0920204
"University of Georgia"	0.0914317
"Johns Hopkins University"	0.0907083
"University of Iowa"	0.090613
"Howard University"	0.0904087
shuttle	0.0890111
"Georgetown University"	0.0888671
Albany	0.0880899
Cambridge	0.0880756
"Indiana University"	0.0865606
Emory	0.085495
"University of Maryland"	0.0852811
Columbus	0.0848226
"Johns Hopkins"	0.084571
Charleston	0.0838891
"University of Utah"	0.0838224
"Kansas City"	0.0835967
"University of Kansas"	0.0834264
university	0.0824233
Springfield	0.0821027
"University of South Carolina"	0.0804488
"Des Moines"	0.0802057
"Boston College"	0.0797846
"University of Illinois"	0.079722
Rochester	0.0796572
"University of Florida"	0.0794574
"University of Minnesota"	0.0794182
"Georgia Tech"	0.0787455
"University of North Carolina"	0.0786924
Providence	0.078476
Nashville	0.0773703
Memphis	0.0770845
"St. Louis"	0.0769891
"Rutgers University"	0.0769564
Houston	0.0766059
Denver	0.0764921
Chicago	0.0761385
"City College"	0.0761069
"University of Arizona"	0.0757926
"San Diego"	0.0757804
Rutgers	0.0757137
"Los Angeles"	0.0756961
Minneapolis	0.0756213
"Vanderbilt University"	0.0755996
"Oxford University"	0.0751657
TALLAHASSEE	0.0747415
Wilmington	0.0747018
Seattle	0.0741897
"Fort Worth"	0.074002
NYU	0.0738824
"University of Massachusetts"	0.0738814
"Little Rock"	0.0738433
Phoenix	0.0738297
"Northeastern University"	0.0736157
"New Orleans"	0.0736047
"Arizona State University"	0.0735677
Philadelphia	0.0734591
Austin	0.0728801
"San Francisco"	0.0727114
"Emory University"	0.0726113
Dallas	0.0725984
"St. Petersburg"	0.0724852
"Oklahoma City"	0.0718554
Orlando	0.0717884
Montgomery	0.071761
"University of Colorado"	0.0717428
Miami	0.0715787
"West Palm Beach"	0.0714713
Boston	0.0714661
"University of Connecticut"	0.0713256
"University of Pittsburgh"	0.0710233
"law school"	0.0709372
"Ohio State University"	0.0708665
Sacramento	0.070866
Louisville	0.070754
Raleigh	0.0707367
"San Antonio"	0.0705992
"Notre Dame"	0.0705176
Tucson	0.0704666
"St. Paul"	0.070219
Birmingham	0.070131
UCLA	0.0700743
Atlanta	0.0699196
"Fort Lauderdale"	0.0696413
Hartford	0.0695172
"El Paso"	0.069477
Colombia	0.0691573
"Cambridge University"	0.0688799
"Baton Rouge"	0.0688466
Concord	0.0684745
Wellesley	0.0684646
Honolulu	0.0684184
Portland	0.0684174
Richmond	0.0684029
Tampa	0.0682398
"New Haven"	0.0679678
Newark	0.0677961
Baltimore	0.0676288
Cleveland	0.0674831
Toronto	0.0674702
"State University of New York"	0.0674562
Savannah	0.0672838
"San Jose"	0.0670751
UT	0.0670712
"University of Miami"	0.0670494
Brandeis	0.0668999
"California Institute of Technology"	0.0667358
"University of Alabama"	0.06654
northwestern	0.0664804
Havana	0.0664068
"Grand Rapids"	0.0663295
Indianapolis	0.0659777
Detroit	0.065902
"New York"	0.0658632
Syracuse	0.0657799
Jacksonville	0.0656953
Oakland	0.0656042
Amherst	0.0655304
Mir	0.0654493
"University of Mississippi"	0.0653249
Florida	0.0653004
"Cape Town"	0.0652987
"Dartmouth College"	0.0651975
"University of Missouri"	0.0651628
Manchester	0.0651232
Albuquerque	0.0650818
Washington	0.0648115
Cincinnati	0.0645583
California	0.0643778
Connecticut	0.0642889
Buffalo	0.0642218
Aetna	0.0641994
Knoxville	0.0640913
"North Carolina"	0.064018
"Mexico City"	0.0639377
TRENTON	0.0638984
"Las Vegas"	0.063894
universal	0.0638867
Macon	0.063857
Pasadena	0.063752
Pittsburgh	0.0635352
Disney	0.0635319
ASHEVILLE	0.063489
"New York City"	0.0634542
Duke	0.063122
Jamaica	0.0630368
Spokane	0.0629719
"Southern California"	0.0628426
"Salt Lake City"	0.0627929
Vancouver	0.0627422
CARACAS	0.0625215
"Chapel Hill"	0.0623921
Milwaukee	0.0623702
RCA	0.0622902
Belfast	0.0621948
"Washington University"	0.0621779
Tulsa	0.0621746
Vanderbilt	0.0621333
Alexandria	0.0619971
Georgia	0.0618004
"Beijing University"	0.0614952
ATHENS	0.0614558
))
("Columbia Pictures" (desc 2315.82) (sims
"Universal Pictures"	0.239831
"Paramount Pictures"	0.169622
"Miramax Films"	0.154685
"Warner Brothers"	0.146996
MGM	0.119685
"New Line Cinema"	0.118589
"Motion Picture Association of America"	0.116922
"Bankers Trust Corp."	0.11117
paramount	0.110449
"Mobil Corp."	0.107064
"Fox Sports"	0.106645
SCLC	0.106547
"ABC Sports"	0.105683
"Australian Olympic Committee"	0.103123
"U.S. Chamber of Commerce"	0.101575
IMG	0.100221
"Sydney Organizing Committee"	0.0989952
YankeeNets	0.0987116
"Warner Bros."	0.0983372
"Wine Institute"	0.0980354
"Fleet Financial Group"	0.0968677
"National Association of Manufacturers"	0.0951199
"CBS Sports"	0.0942135
"Association of Flight Attendants"	0.0938885
"National Association of Broadcasters"	0.0930442
"American Association of Health Plans"	0.0923425
"CBS Corp."	0.0918281
"Handgun Control"	0.0915685
"Labor office"	0.0897593
PolyGram	0.0897497
"Chase Manhattan Corp."	0.0881956
"European Bank for Reconstruction"	0.0876824
"New York Times Co."	0.087184
"Handgun Control Inc."	0.0863563
NARAL	0.0854042
Miramax	0.0851024
"Tele-Communications Inc."	0.0849666
DreamWorks	0.0846749
"Atlanta Committee"	0.0844295
"Sprint Corp."	0.0827659
Lucasfilm	0.0822923
"Walt Disney Co."	0.0809143
"Koch Industries"	0.0807828
"Universal Studios"	0.0807412
"U.S. Soccer Federation"	0.0799246
"Freedom Forum"	0.079877
"Digital Equipment Corp."	0.0791747
"this @@@@"	0.0781985
"UAL Corp."	0.0773126
"World Jewish Congress"	0.077192
"Allied Pilots Association"	0.0768774
"Cendant Corp."	0.0766461
"Times Mirror Co."	0.0765082
"Ameritech Corp."	0.0765037
"International Ski Federation"	0.0763574
YPF	0.0760878
"John Hancock"	0.0759812
"Cincinnati Enquirer"	0.0757862
"Random House"	0.07523
"Blue Cross"	0.0749552
"Learning Co."	0.0748303
"U.S. Olympic Committee"	0.0743099
"Atlantic Richfield Co."	0.0740322
"American Petroleum Institute"	0.0738582
"MediaOne Group"	0.0738452
"Family Research Council"	0.0738237
"Federated Department Stores"	0.0732397
"Metropolitan Transportation Authority"	0.0728682
"Hearst Corporation"	0.0725284
Petrofina	0.0721222
"Time Inc."	0.072085
"Main Events"	0.071914
"Atlantic Richfield"	0.0717526
"National Urban League"	0.0716869
"Securities Industry Association"	0.0711168
"Air Line Pilots Association"	0.0710968
"Pacific Lumber"	0.0709287
Monsanto	0.0702986
Eximbank	0.0701617
"Bankers Trust"	0.0700404
"Coca-Cola Enterprises"	0.0700326
"U.S. Trust"	0.0700029
BSF	0.0697706
"BankAmerica Corp."	0.0693057
CSX	0.0691997
MetLife	0.069097
GANNETT	0.0689486
"Hughes Electronics"	0.0687293
"National Audubon Society"	0.0685486
"Urban League"	0.0685402
"Federal Reserve Bank of New York"	0.0683626
"American Lung Association"	0.0683076
"Board of Supervisors"	0.0681491
"Hearst Magazines"	0.0678859
"Enron Corp."	0.0678521
"U.N. World Food Program"	0.067773
"Russian Space Agency"	0.0677343
"Learning Company"	0.0674737
BNFL	0.0672457
"Hearst Corp."	0.0672211
"Seagram Co."	0.0669595
"Netscape Communications Corp."	0.0667309
"Air Transport Association"	0.0664797
"US West"	0.0662626
Fairchild	0.0660964
"U S West"	0.065876
"BankBoston Corp."	0.0658303
"Northeast Utilities"	0.0656018
"Computer Associates"	0.0655277
"Sony Corp."	0.0651483
"American Jewish Committee"	0.0649284
"Texaco Inc."	0.0647236
BankAmerica	0.0646572
"Lotus Development Corp."	0.0646254
"Wal-Mart Stores Inc."	0.0644718
REVLON	0.0644455
ICBC	0.0643204
"AMR Corp."	0.0639643
Paxson	0.0639278
"American Red Cross"	0.0637643
"U.S. Immigration and Naturalization Service"	0.0631611
CFA	0.0631275
DiCarlo	0.0628915
"Common Cause"	0.0626616
"Communications Workers of America"	0.0624148
AHP	0.062381
"Salomon Brothers"	0.0622953
"National Federation"	0.0622049
Sony	0.0620627
"Rolls-Royce Motor Cars"	0.0620533
"Times Mirror"	0.0620133
"National Association of Realtors"	0.0619844
"Time Warner Inc."	0.0618042
"Walt Disney"	0.0616311
"EU Commission"	0.0614806
"Kraft Foods"	0.0613664
Cargill	0.0612973
"Board of Elections"	0.0611374
PTA	0.0610848
"Network Solutions"	0.0610651
"Time Warner"	0.0610311
"American Psychological Association"	0.060917
PRIMESTAR	0.060738
"Bay Networks"	0.0606235
"Halliburton Co."	0.0606103
"General Administration of Customs"	0.060542
HKMA	0.0604915
"Mather Worldwide"	0.0604524
"Continental Airlines"	0.0603797
"International Tennis Federation"	0.0602525
"Thomson Multimedia"	0.0602126
USATF	0.059977
"Chinese Olympic Committee"	0.0599236
"Fannie Mae"	0.0598376
"Bank of America"	0.0598288
ICA	0.0597339
"GE Capital"	0.059676
ACOG	0.0594837
"Salt Lake Organizing Committee"	0.0591087
"Chrysler Corp."	0.0590245
"United Auto Workers"	0.0589518
"National Trust"	0.0589071
"Con Ed"	0.0586448
Westinghouse	0.058342
"Smith &AMP; Wesson"	0.0583116
"Columbia Records"	0.0580381
"Chronicle Publishing"	0.0580254
"Warner Bros"	0.0579828
"GTE Corp."	0.0577945
"Orange County Register"	0.0577311
"National Republican Congressional Committee"	0.0577065
"True North"	0.0576849
Comsat	0.057637
"Southwestern Bell"	0.0576289
"Viacom Inc."	0.057515
SAirGroup	0.0574921
"Adobe Systems"	0.0574839
Amoco	0.0573997
ama	0.0573218
"Ford Motor Co."	0.0572387
"Pacific Bell"	0.0572187
"Rotary International"	0.057185
Unicom	0.0571837
MCI	0.0571676
"Hewlett-Packard Co."	0.0570671
COLTEC	0.0569588
EBRD	0.0567125
ENTERGY	0.0566842
"Time Warner Cable"	0.0565825
"Dow Jones &AMP; Co."	0.0565445
Fingerhut	0.0565404
"MCI WorldCom"	0.0565314
Lilco	0.0565177
Warner-Lambert	0.0564589
"Turner Sports"	0.0563858
"American Heart Association"	0.0563757
"Recording Industry Association of America"	0.0563719
"MCI Communications Corp."	0.0562622
"Chevron Corp."	0.056177
"National Election Committee"	0.0560975
))
("Columbia Records" (desc 1228.37) (sims
"Deutsche Grammophon"	0.123322
RCA	0.107766
"Handgun Control Inc."	0.10382
"Handgun Control"	0.0911034
"Health and Human Services Department"	0.0905122
"Warner Brothers"	0.0885639
"Democratic Congressional Campaign Committee"	0.0809322
"U.S. Immigration and Naturalization Service"	0.0805951
"Levi Strauss"	0.0772748
"Warner Bros."	0.0765706
"American Lung Association"	0.0756525
"National Association of Manufacturers"	0.0754292
"Turner Broadcasting"	0.0717352
"Securities Industry Association"	0.0703584
Wyeth-Ayerst	0.0684778
"National Republican Congressional Committee"	0.0681503
"Consumer Federation"	0.0679586
"Department of Health and Human Services"	0.0676154
"Universal Pictures"	0.0668946
"first CD"	0.0668151
cardholders	0.0658862
"Lincoln Center Theater"	0.0657403
"Texas Department of Public Safety"	0.0647366
"Cuban American National Foundation"	0.0645323
"American Bankers Association"	0.0638558
"DreamWorks SKG"	0.063778
"Fox Sports"	0.0629069
"Levi Strauss &AMP; Co."	0.0628852
"General Electric Co."	0.0623099
"P&AMP;G"	0.0619234
Livent	0.0617766
"ABC Sports"	0.0616187
"Republican National Committee"	0.061418
"National Marine Fisheries Service"	0.0611249
"Chevron Corp."	0.0610347
Hasbro	0.0610108
ICBC	0.0605738
CNPC	0.0602702
"National Federation"	0.0601285
IDC	0.0596328
"Salt Lake Organizing Committee"	0.0596059
"Ministry of Trade and Industry"	0.0592974
EMI	0.0587386
"Electronic Arts"	0.0585859
"General Motors Corp."	0.058551
"American Heart Association"	0.0584779
"Department of Corrections"	0.058168
"Columbia Pictures"	0.0580381
"R.J Reynolds"	0.0580032
USEC	0.0571176
"Sara Lee"	0.0569769
"Democratic Senatorial Campaign Committee"	0.0568988
Commerzbank	0.0568942
"Atlantic Richfield"	0.0567599
"Mastercard International"	0.0565
PBOC	0.0564846
CCE	0.0564811
"Gap Inc."	0.0563034
IAI	0.0560952
"Texas Department of Health"	0.0559117
Enron	0.0556545
"William Morris"	0.055464
"Human Rights Campaign"	0.0550845
Maximus	0.0548209
"U.S. Forest Service"	0.0543401
"Kraft Foods"	0.0542584
"Fidelity Investments"	0.0541762
"Log Cabin Republicans"	0.0541479
"Consumers Union"	0.0541451
"Daimlerchrysler AG"	0.0540928
"Port Authority"	0.0538106
"John G. Rowland"	0.0536863
"network programming"	0.0535737
"Network Associates"	0.053488
BSO	0.0534121
AIRTRAN	0.0533973
Eurotunnel	0.0532525
CCB	0.0532272
"Y&AMP;R"	0.0531166
CRI	0.0530765
Frito-Lay	0.0529482
"American Cancer Society"	0.052769
NTRA	0.0527521
Calla	0.0522438
Oxfam	0.0521253
"Russian Space Agency"	0.0520451
DreamWorks	0.051848
"Gartner Group"	0.0518341
HHS	0.051569
"ABC News"	0.0513574
ADM	0.0513227
"Legal Aid Society"	0.0512862
Anheuser-Busch	0.0512626
"Time Inc."	0.0509499
Lucasfilm	0.0507644
"Neiman Marcus"	0.0506974
"IBM Corp."	0.0506074
"Xerox Corp."	0.0505887
"Air Line Pilots Association"	0.0501845
ICM	0.0500377
endocrinology	0.0499599
"Texas Instruments"	0.0499476
"Israeli Embassy"	0.0498227
McCann-Erickson	0.0497811
MGM	0.0489515
CNOOC	0.048911
"Hewlett-Packard Co."	0.0488706
Eximbank	0.0488595
"Rainbow Room"	0.0487752
iVillage	0.0486682
"American Home Products"	0.0485127
Pepsico	0.0485102
"National Weather Service"	0.0485018
"ad agency"	0.048497
"RJR Nabisco"	0.0484393
"Construction Bank of China"	0.0484067
HKMA	0.0481343
Sega	0.048118
Emulex	0.0480578
AHP	0.0479505
"Sdn Bhd"	0.0478716
"People's Bank of China"	0.0478115
Starwood	0.0476343
BMG	0.0476071
"Hollywood studio"	0.0475438
Cargill	0.0475345
"Department of Education"	0.0474757
"George E. Pataki"	0.0474744
"Waste Management"	0.0473585
"Department of Veterans Affairs"	0.0472598
ETrade	0.0470912
"Coca-Cola Co."	0.047023
"U.S. Postal Service"	0.0469855
Elf-Aquitaine	0.0469142
"Sanwa Bank"	0.046895
"Dayton Hudson"	0.0468229
"Kaiser Permanente"	0.0466885
NARAL	0.0466509
"Rainbow/PUSH Coalition"	0.0466278
"gas company"	0.0464074
AOC	0.0462784
"French Foreign Ministry"	0.0461945
Primedia	0.0459992
"GE Capital"	0.045981
"CBS News"	0.0459069
"CBS Sports"	0.0458436
"Mattel Inc."	0.0457698
"Center for Science"	0.0455703
"ransom money"	0.0455318
"Department of Public Safety"	0.0455141
"Education Department"	0.0454826
"Blue Cross"	0.0453615
"BP Amoco"	0.045337
"American Home Products Corp."	0.0452935
"Anti-Defamation League"	0.0452827
ExciteAtHome	0.0451781
rpm	0.0449718
Elgar	0.0448342
"Reed Elsevier"	0.0445577
Novartis	0.0443928
WGBH	0.0443419
"Volvo AB"	0.0443409
"Department of Environmental Protection"	0.0442246
"American Petroleum Institute"	0.0441715
"Federal Emergency Management Agency"	0.0441676
"U.S. Treasury Department"	0.0441142
"Urban League"	0.0439875
"China Construction Bank"	0.0439407
"National Association"	0.0439388
"Bell Labs"	0.0437995
Salomon	0.043734
"FAO Schwarz"	0.0437176
"Koch Industries"	0.0436526
AMC	0.0435095
"Network Solutions"	0.0433936
"Lahore Declaration"	0.0433165
NORTHROP	0.0430494
"American Home"	0.043026
CCA	0.0429473
"Chinese Foreign Ministry"	0.0429068
BankAmerica	0.0428988
"Miramax Films"	0.0428329
"Weight Watchers"	0.042756
"Apple Computer Inc."	0.0425422
MCA	0.0424722
VENATOR	0.0424047
"True North"	0.0423746
"Housing Authority"	0.0423183
EA	0.042284
"Southern Poverty Law Center"	0.0422565
"publishing company"	0.0422077
Drexel	0.0422045
"Bureau of Indian Affairs"	0.0419547
"International Management Group"	0.0418959
"Los Angeles Police Department"	0.0416849
PBC	0.0416528
"Conde Nast"	0.0415727
"Family Research Council"	0.0415669
Cadbury	0.0415215
"American Federation"	0.0414767
))
("Columbia River" (desc 2680.34) (sims
"Snake River"	0.196413
"Connecticut River"	0.156828
"Colorado River"	0.148459
"Missouri River"	0.136232
"Potomac River"	0.119819
"Mississippi River"	0.119752
"Pearl River"	0.11603
Seine	0.109306
"Delaware River"	0.104239
"Congo River"	0.103066
Euphrates	0.0998374
"Hudson River"	0.0990242
"Taihu Lake"	0.0964674
"Rio Grande"	0.0954392
"Ohio River"	0.0934867
"Mekong River"	0.0902575
Danube	0.0861977
"Huangpu River"	0.081765
"Yellow River"	0.0815794
"Red River"	0.0798861
"San Francisco Bay"	0.0787123
Yangtze	0.0776153
"Lake Michigan"	0.0773628
"Nile River"	0.0758769
"Interstate @"	0.0754455
"Lake Erie"	0.0751575
"Yangtze River"	0.0726176
"Jordan River"	0.0721983
Nile	0.0705399
"Mediterranean Sea"	0.0695516
"Danube River"	0.0691332
"Manila Bay"	0.068577
"Mojave Desert"	0.0683711
Rhine	0.0676244
"Pacific Coast"	0.0672869
irrationality	0.0662772
"East River"	0.0658828
"Beibu Gulf"	0.0658535
"Chesapeake Bay"	0.0654857
"Bohai Bay"	0.0649649
Thames	0.0639769
Potomac	0.063376
"Lijiang River"	0.0613815
"New York Harbor"	0.0607678
Xiaolangdi	0.0587922
"Suez Canal"	0.0576062
Ganges	0.0566377
Hudson	0.0562892
viaduct	0.0556362
"Appalachian Trail"	0.0542558
lagoon	0.0530534
"Pennsylvania Avenue"	0.0521792
estuary	0.0517102
"eight kilometers"	0.05124
"about @,@@@ kilometers"	0.0501441
"Dulles International Airport"	0.0499013
"Puget Sound"	0.0498869
"dairy farm"	0.0498123
"Route @"	0.0495028
superhighway	0.0494921
Rhone	0.0494781
"three kilometers"	0.0488646
riverbank	0.0487981
"hundred miles"	0.0485213
"six kilometers"	0.0484605
"Pacific Ocean"	0.0480737
"Lake Tahoe"	0.0479986
Argun	0.0476688
"Victoria Harbor"	0.0474144
"Haihe River"	0.0471672
"Jack Kent Cooke Stadium"	0.0471427
"Lake Ontario"	0.0470847
"Red Sea"	0.0468996
"Corcoran Gallery"	0.0467439
riverbed	0.0467396
"Tar River"	0.0465912
"Long Island Sound"	0.046565
"Arctic Ocean"	0.0463959
"Lake Tanganyika"	0.0463484
"Route @@"	0.0462858
"state highway"	0.0460118
Tarim	0.04481
"Grand Canyon"	0.0444336
"about @@ km"	0.0443603
"Mount Rainier"	0.0440119
"Songhua River"	0.0434304
"mental institution"	0.0433766
"cattle ranch"	0.0429278
"Panama Canal"	0.0426858
Vedeno	0.0424688
"Union of Concerned Scientists"	0.0421788
"sea lane"	0.0418833
"Huaihe River"	0.0417103
"a few kilometers"	0.0415599
"more than @@@ kilometers"	0.0414731
"Interstate @@@"	0.0414153
"Sussex County"	0.0413898
"Hollywood Boulevard"	0.0413002
beachfront	0.0411079
Catskill	0.0408391
"Nearly @@@ miles"	0.040282
))
("Columbia University" (desc 16589.5) (sims
"New York University"	0.32536
"University of Chicago"	0.318713
"Stanford University"	0.313573
"Yale university"	0.300632
"Cornell University"	0.293109
"Harvard University"	0.284264
"Princeton University"	0.269278
"University of Michigan"	0.267089
"Duke University"	0.26597
"University of California"	0.264939
"University of Southern California"	0.261695
"University of Wisconsin"	0.251275
"Rutgers University"	0.249704
"American University"	0.2491
"Georgetown University"	0.245154
"George Washington University"	0.244945
Harvard	0.244364
"Syracuse University"	0.243529
"Brown University"	0.242977
"Northwestern University"	0.242357
"Boston University"	0.241941
"Johns Hopkins University"	0.238176
Yale	0.235052
"Massachusetts Institute of Technology"	0.234321
"Ohio State University"	0.227839
"University of Illinois"	0.227705
"University of Georgia"	0.227081
"University of Minnesota"	0.225132
"University of Rochester"	0.224852
"Howard University"	0.223446
"London School of Economics"	0.22302
"University of Iowa"	0.221846
"University of Pennsylvania"	0.219583
"Emory University"	0.219479
"University of Texas"	0.21217
"University of Virginia"	0.210775
"University of Toronto"	0.208922
"University of Maryland"	0.20773
"University of North Carolina"	0.204535
"University of Washington"	0.203006
"Vanderbilt University"	0.202668
"University of Florida"	0.200774
"Northeastern University"	0.199779
"Harvard Business School"	0.198283
"Cambridge University"	0.198089
Cornell	0.197439
"Southern Methodist University"	0.195859
"University of Arizona"	0.195055
"Harvard Law School"	0.193643
"University of Pittsburgh"	0.192941
"Indiana University"	0.192627
MIT	0.192189
"University of Kansas"	0.189251
"University of New Mexico"	0.188198
"University of Utah"	0.18801
"City College"	0.185778
"Oxford University"	0.181438
"Harvard Medical School"	0.180385
"Michigan State University"	0.178754
"University of Missouri"	0.177967
"University of Massachusetts"	0.176791
"Yale Law School"	0.176713
"Juilliard School"	0.175608
"Iowa State University"	0.174995
"Fordham University"	0.173594
"Williams College"	0.173105
"Purdue University"	0.172789
"McGill University"	0.17137
"Arizona State University"	0.170577
"Dartmouth College"	0.170215
Princeton	0.169314
"University of Colorado"	0.168493
"Hunter College"	0.168314
"Tufts University"	0.165797
"Hebrew University"	0.163126
"University of South Carolina"	0.163111
"Barnard College"	0.161262
"Pennsylvania State University"	0.160868
"City University of New York"	0.160727
Stanford	0.157963
"Smith College"	0.155568
Columbia	0.152857
"State University of New York"	0.152701
"North Carolina State University"	0.152194
"Beijing University"	0.150695
"University of Alabama"	0.150585
"California Institute of Technology"	0.150415
"Georgia State University"	0.14967
"Brandeis University"	0.148181
"Queens College"	0.14776
"Rice University"	0.147036
"Amherst College"	0.145444
"Brigham Young University"	0.142079
"Florida State University"	0.141426
"Carnegie Mellon University"	0.140889
"University of Connecticut"	0.14002
"Louisiana State University"	0.139054
"University of Tennessee"	0.136937
"University of Oklahoma"	0.136894
"University of Houston"	0.136523
"California State University"	0.134837
"University of Miami"	0.134478
"Washington University"	0.134028
"University of Kentucky"	0.133877
"Johns Hopkins"	0.132307
"city university"	0.131006
"school of medicine"	0.130925
"Colorado State University"	0.129462
Emory	0.129337
"University of Arkansas"	0.127748
"Baylor University"	0.127443
"Qinghua University"	0.125892
Sorbonne	0.125074
university	0.124866
"San Francisco State University"	0.124626
"Auburn University"	0.124046
Oxford	0.123996
"University of New Hampshire"	0.123292
"Hofstra University"	0.123155
"University of Hong Kong"	0.121739
"University of Maine"	0.121644
Berkeley	0.120413
"Texas Tech University"	0.119678
"Wesleyan University"	0.118249
"University of Mississippi"	0.118036
"Harvard School of Public Health"	0.117592
Dartmouth	0.117275
"University of Hawaii"	0.116856
"Boston College"	0.115892
Juilliard	0.114242
"Kansas State University"	0.113227
"Cooper Union"	0.112899
"Harvard College"	0.112439
"Trinity College"	0.11173
"Temple University"	0.111717
"UC Berkeley"	0.110987
Brandeis	0.110795
"University of Oregon"	0.109353
"University of Nebraska"	0.10872
"school of law"	0.10841
"business school"	0.107922
NYU	0.106931
"University of Dayton"	0.106799
"George Mason University"	0.106662
"Florida International University"	0.105766
"law school"	0.104979
"medical school"	0.104699
"University of Zimbabwe"	0.102087
seminary	0.100913
"Rockefeller University"	0.100388
"Memorial Sloan-Kettering Cancer Center"	0.0992981
UGA	0.0983391
"Washington State University"	0.0982953
"Georgia Tech"	0.0980111
"Wright State University"	0.097727
"school of music"	0.0968664
"West Point"	0.0965201
"Texas Christian University"	0.0953169
"University of Wyoming"	0.0941429
"community college"	0.0940601
"Peking University"	0.0930348
"Fudan University"	0.0927057
"teachers college"	0.0887194
UT	0.0885539
UCLA	0.0884858
"Nanjing University"	0.0872502
"Kennedy School"	0.08711
"University of Cincinnati"	0.0866522
northwestern	0.0857704
"Mount Sinai Medical Center"	0.0856733
"naval academy"	0.0840931
"Council on Foreign Relations"	0.0829571
"University of Notre Dame"	0.0828106
College	0.0826635
"Brookings Institution"	0.0825865
"air force academy"	0.0820439
Rutgers	0.0819238
CalTech	0.0812896
"Chinese Academy of Social Sciences"	0.0807791
Vassar	0.0807664
"Mayo Clinic"	0.0795878
"Massachusetts General Hospital"	0.079255
"Catholic University"	0.0771282
UW	0.0768757
"Mount Sinai Hospital"	0.0762812
institute	0.0750969
"Cleveland Clinic"	0.0746365
"Wharton School"	0.0744712
"U.S. Naval Academy"	0.0738393
"Baylor College of Medicine"	0.0735846
"military academy"	0.0730983
Cambridge	0.072392
"Notre Dame"	0.0722324
"Kennedy School of Government"	0.0716483
"Chinese University of Hong Kong"	0.0704148
"College of Charleston"	0.0700876
"Georgia State"	0.070001
northeastern	0.0691782
"Nankai University"	0.0686801
"Center for Strategic"	0.0685348
))
(Columbine (desc 21767.1) (sims
"Columbine High School"	0.286231
"Columbine High"	0.234822
Littleton	0.200386
"Heritage High School"	0.165491
"high school"	0.115984
"Wedgwood Baptist Church"	0.115105
"Kent State"	0.11286
Jonesboro	0.112259
"North Valley Jewish Community Center"	0.093237
Jonestown	0.0845489
"middle school"	0.0836737
"junior high"	0.0803235
"Jewish Community Center"	0.0794225
"community center"	0.0769279
highschool	0.0765892
"junior high school"	0.0750637
"elementary school"	0.0710792
"Northeastern University"	0.0697313
"Yale Law School"	0.0683765
"Harvard Business School"	0.0682484
Waco	0.0674516
"Gun Ri"	0.0656633
"Mount Carmel"	0.065631
Tiananmen	0.0646586
massacre	0.0641033
"air force academy"	0.0639544
Harvard	0.0625473
"New York University"	0.0616203
Yale	0.0612198
"West Point"	0.0607499
College	0.0605024
UD	0.0600247
Racak	0.0586158
"art school"	0.0582947
Lai	0.0580926
Princeton	0.0578579
"Port Arthur"	0.0577118
seminary	0.0574227
Colorado	0.0574052
shooting	0.0571098
"Boston University"	0.0568509
Rockdale	0.0568276
Dartmouth	0.0566443
Attica	0.0557405
"Indiana University"	0.0555464
"naval academy"	0.0552628
Conyers	0.055184
"University of Florida"	0.0549119
"Harvard Law School"	0.054833
"primary school"	0.054582
"Boston College"	0.0545073
"Yale university"	0.0544289
"Tiananmen Square"	0.0543915
Srebrenica	0.0540581
"Syracuse University"	0.0540535
Juilliard	0.0539578
"Georgetown University"	0.0539532
"community college"	0.0535887
Capitol	0.0534518
"grade school"	0.0530053
"Georgia Tech"	0.0528089
"junior college"	0.0527007
"public school"	0.0523316
"Catholic school"	0.0520527
MIT	0.051913
NYU	0.0516493
"private school"	0.0515293
"Brown University"	0.0512843
"U.S. Capitol"	0.0506396
Paducah	0.0505142
"University of Texas"	0.0503112
"Dartmouth College"	0.0498356
UGA	0.0497513
UT	0.0494935
academy	0.048969
eighth-grade	0.0488074
"Beijing University"	0.0481154
UCLA	0.0477726
rampage	0.047094
USC	0.0468417
CSUN	0.0467973
"secondary school"	0.0465834
Luxor	0.0464921
"University of Georgia"	0.0464424
"technical school"	0.0463635
"business school"	0.046274
"Cal State Northridge"	0.0460015
tragedy	0.0459982
"nursery school"	0.0459588
"fatal accident"	0.045865
"law school"	0.0458252
"Eric Harris"	0.0455284
"University of Missouri"	0.0454521
"Northwestern University"	0.0453025
"State University of New York"	0.0452468
ASU	0.0451999
"Princeton University"	0.0445197
"Duke University"	0.0442638
Auschwitz	0.0440476
"Columbia University"	0.0439773
"University of Wisconsin"	0.0439452
"vocational school"	0.0437944
Springfield	0.0437037
preschool	0.0436363
"University of Michigan"	0.0434143
"Oklahoma City"	0.0433488
"abortion clinic"	0.0432052
Woodstock	0.0429865
"prep school"	0.0429835
Stanford	0.0429715
Chernobyl	0.0427814
holocaust	0.0425918
Gonzaga	0.0423901
"University of North Carolina"	0.0422688
"Stanford University"	0.0422044
gunman	0.042087
kindergarten	0.042049
Cornell	0.0418847
"University of Southern California"	0.0415758
"Harvard University"	0.0414097
Diallo	0.0411163
"Seton Hall"	0.0408627
peony	0.0407287
hydrangea	0.0405061
"real life"	0.0403803
spree	0.0403361
))
("Columbine High" (desc 3837.27) (sims
"Columbine High School"	0.329676
Columbine	0.234822
"Kent State"	0.183188
"Heritage High School"	0.168829
"Wedgwood Baptist Church"	0.147147
Littleton	0.126504
Jonestown	0.10618
"Port Arthur"	0.104998
"Jewish Community Center"	0.100012
Jonesboro	0.0990614
highschool	0.0978264
Racak	0.0958185
"North Valley Jewish Community Center"	0.0951694
"Peking University"	0.0872208
Lai	0.0858043
Vassar	0.0844819
"middle school"	0.0776303
"air force academy"	0.0753021
"community center"	0.0731609
"P.S @@@"	0.0729149
"Gun Ri"	0.0723401
Tiananmen	0.0721332
Juilliard	0.0721136
"junior high school"	0.0711765
"vocational school"	0.0709859
schoolhouse	0.0694642
"Yale Law School"	0.0693089
"U.S. Capitol"	0.0679946
"Northeastern University"	0.067694
"Williams College"	0.0660567
"Syracuse University"	0.0648265
"grammar school"	0.0643231
"Juilliard School"	0.0636625
"Public School @@"	0.0635409
Rockdale	0.0625309
"University of Kentucky"	0.0622919
Vukovar	0.0616759
"National Zoo"	0.061649
"technical school"	0.0615613
"University of Wyoming"	0.0609782
"prep school"	0.0608809
"preparatory school"	0.0600081
"Brigham Young University"	0.0597114
Wedgwood	0.0596509
schoolyard	0.0594774
"community college"	0.0585892
"Duke University"	0.0579137
drive-by	0.0574643
Srebrenica	0.0573301
"junior high"	0.0572981
"University of Wisconsin"	0.0566853
Beida	0.0564526
"about @:@@"	0.056427
Luxor	0.0563088
"Texas Christian University"	0.0561023
"Harvard Law School"	0.0558112
"City College"	0.0548351
"Cal State Northridge"	0.054824
"Harvard College"	0.0545355
"Southern Methodist University"	0.0544335
"University of North Carolina"	0.0542509
"University of Utah"	0.0542
"College of Charleston"	0.0540911
"Catholic school"	0.0539191
"Georgetown University"	0.0538848
"Jackson State"	0.0535573
"Indiana University"	0.0530278
second-grade	0.0527074
Kanungu	0.0527012
yeshiva	0.0525013
"University of Texas"	0.0524512
"University of Florida"	0.0524401
"senior high school"	0.052349
UNAM	0.0522421
"Barnard College"	0.0522237
"Boston University"	0.0521392
"boarding school"	0.0520255
"New York University"	0.0511901
"Arizona State University"	0.0505643
"Dartmouth College"	0.0501501
third-grade	0.0498668
"Harvard Business School"	0.0497542
Antioch	0.0496195
"art school"	0.0493903
"Wesleyan University"	0.0487842
"San Francisco State University"	0.0486185
"Beijing University"	0.0486147
seminary	0.0485362
"Brown University"	0.0480206
"Seton Hall University"	0.0471871
"Colorado State University"	0.0469764
Dartmouth	0.04678
"Cambridge University"	0.0467503
"Southern Methodist"	0.046638
"Los Angeles Unified"	0.0464108
Sabra	0.0459695
NYU	0.0459685
sixth-grade	0.04568
"Howard University"	0.0450442
UGA	0.0448925
Nanking	0.0448494
eighth-grade	0.0445437
"Columbia University"	0.0445163
"Seton Hall"	0.0444702
"University of Houston"	0.0442758
"West Point"	0.0442604
"one school"	0.0437987
"Michigan State University"	0.0437316
"Tiananmen Square"	0.0437157
"Zhejiang University"	0.0436275
"University of Arizona"	0.043262
"day care center"	0.0431253
"school of music"	0.0431183
"Louisiana State University"	0.0430821
zodiac	0.0430029
"State University of New York"	0.0429462
"Brooklyn Academy of Music"	0.0424589
"Long Beach State"	0.0424295
"University of Southern California"	0.0423409
elan	0.042129
"Michigan Speedway"	0.042034
Ensenada	0.0419936
"Emory University"	0.0418006
UMass	0.0417199
"University of Virginia"	0.0414968
"secondary school"	0.0414445
"University of Michigan"	0.0413131
"religious school"	0.0413
"day camp"	0.0410098
"sixth grade"	0.0408476
campground	0.0408062
"University of New Hampshire"	0.0407618
"World AIDS Conference"	0.0405422
"Hunter College"	0.0404988
"Tufts University"	0.0404916
conservatory	0.0403546
CalTech	0.0403067
"Harvard University"	0.0402691
"Rutgers University"	0.0400148
))
("Columbine High School" (desc 17967.3) (sims
"Columbine High"	0.329676
Columbine	0.286231
"Heritage High School"	0.193275
Littleton	0.181985
"Wedgwood Baptist Church"	0.171606
"North Valley Jewish Community Center"	0.154013
"high school"	0.130945
"Kent State"	0.114249
"community center"	0.103877
Jonesboro	0.101174
Racak	0.0995413
"Jewish Community Center"	0.0950654
"Port Arthur"	0.0828575
"Mount Carmel"	0.0791829
"middle school"	0.0779329
"Gun Ri"	0.0705474
"U.S. Capitol"	0.0697411
"elementary school"	0.0696461
Capitol	0.0688946
Srebrenica	0.0648298
"junior high school"	0.0646639
"abortion clinic"	0.0635402
rampage	0.0627314
Lai	0.0620517
highschool	0.061553
compound	0.0610541
"Catholic school"	0.059706
"Beijing University"	0.0595513
"about @:@@"	0.0577862
drive-by	0.0573361
"Tiananmen Square"	0.0569877
"air force academy"	0.0569473
massacre	0.0565077
dormitory	0.0561741
Auschwitz	0.0557051
"primary school"	0.055133
"public school"	0.0551053
"Harvard Business School"	0.054827
"office building"	0.0548007
Colorado	0.0547286
"P.S @@@"	0.054664
"Yale Law School"	0.0544758
"Branch Davidians"	0.0538069
Tiananmen	0.0529315
schoolyard	0.0528664
residence	0.0517261
Rockdale	0.0515675
seminary	0.051493
"Dartmouth College"	0.0512196
Luxor	0.0506088
Waco	0.0504504
mosque	0.05025
"vocational school"	0.0493718
"New York University"	0.0493512
"Georgetown University"	0.0492757
"Northeastern University"	0.0492329
"bus stop"	0.0488545
embassy	0.0486646
synagogue	0.0486539
"Branch Davidian"	0.0485849
"Indiana University"	0.0484596
"railway station"	0.047901
Omagh	0.0473891
schoolhouse	0.0469105
"naval academy"	0.0464153
"Williams College"	0.046385
Vukovar	0.0460777
"drive-by shooting"	0.0456531
"apartment building"	0.04557
"University of Texas"	0.0454911
"secondary school"	0.0454876
Conyers	0.0453898
Juilliard	0.0453065
Kanungu	0.0451899
"concentration camp"	0.044904
"Duke University"	0.0448248
"Eric Harris"	0.0447305
hostel	0.044668
junction	0.044072
"City College"	0.0438879
"University of Florida"	0.0433923
gunmen	0.0433395
"two schools"	0.0428088
"Fort Campbell"	0.0427791
"Coors Field"	0.0427698
"police station"	0.0426492
"junior high"	0.0425604
"city hall"	0.0424675
"Qinghua University"	0.0422811
"Northwestern University"	0.0422056
"army base"	0.0421189
"private school"	0.0417999
"New Hampshire International Speedway"	0.0417057
"religious school"	0.0415591
"Motor Speedway"	0.041537
Yale	0.0414716
"Tehran University"	0.0412795
Springfield	0.0412714
"police academy"	0.0407424
spree	0.040734
"Syracuse University"	0.0405006
"boarding school"	0.040433
"West Point"	0.0404211
"fraternity house"	0.0401546
"Brown University"	0.0400291
checkpoint	0.04002
))
(Columbus (desc 29599.2) (sims
Cincinnati	0.182689
"Kansas City"	0.177209
Pittsburgh	0.174391
Cleveland	0.174212
Minneapolis	0.174106
"St. Louis"	0.173629
Dallas	0.169399
Indianapolis	0.169028
Phoenix	0.168882
Detroit	0.166192
Baltimore	0.165526
"San Antonio"	0.164861
Chicago	0.164192
Sacramento	0.1637
Orlando	0.163582
Louisville	0.163058
Philadelphia	0.162801
Denver	0.162098
Milwaukee	0.161693
Portland	0.160114
"San Diego"	0.1601
"San Jose"	0.159262
Buffalo	0.158999
Houston	0.158265
Nashville	0.156976
"New Orleans"	0.156282
Atlanta	0.155186
Memphis	0.152146
Tampa	0.151783
Vancouver	0.149653
Toronto	0.149378
Montreal	0.149332
Charlotte	0.149178
Jacksonville	0.14902
Seattle	0.14886
Tucson	0.148044
"Los Angeles"	0.148021
Boston	0.146663
Miami	0.146229
Oakland	0.144728
"San Francisco"	0.143315
Rochester	0.142562
Richmond	0.14119
Akron	0.14047
Syracuse	0.137729
Albany	0.136197
Wilmington	0.134643
Albuquerque	0.133553
Honolulu	0.132626
Dayton	0.132011
"Green Bay"	0.130892
Austin	0.129628
Springfield	0.129359
"Las Vegas"	0.129329
"Fort Lauderdale"	0.12898
Raleigh	0.127872
Macon	0.127799
"Salt Lake City"	0.127731
"Fort Worth"	0.127422
Providence	0.127215
Hartford	0.125278
Greenville	0.123206
Edmonton	0.122769
"Des Moines"	0.122375
"Little Rock"	0.121509
Colorado	0.1214
"Oklahoma City"	0.120848
Birmingham	0.11943
Norfolk	0.11885
Minnesota	0.118578
Omaha	0.118188
"Tampa Bay"	0.117698
"New Jersey"	0.117216
Newark	0.116992
Tacoma	0.116208
Pawtucket	0.115698
Savannah	0.115149
"New York"	0.114447
Toledo	0.114178
"Long Beach"	0.113321
"West Palm Beach"	0.113123
Spokane	0.112756
Calgary	0.112662
TALLAHASSEE	0.112446
"El Paso"	0.110819
ANAHEIM	0.109988
LAKEWOOD	0.109179
"Fort Wayne"	0.109163
"St. Petersburg"	0.108706
"New York City"	0.10816
Washington	0.107974
Dublin	0.107383
Charleston	0.106059
Arizona	0.105915
Lexington	0.105553
Michigan	0.105146
Florida	0.104378
Indiana	0.104137
Augusta	0.103626
"New Haven"	0.103577
Tulsa	0.103353
Pasadena	0.1031
Morristown	0.10253
Knoxville	0.101747
Carolina	0.100963
Scottsdale	0.100479
"Mexico City"	0.100385
anchorage	0.0998923
Arlington	0.0993567
Youngstown	0.0990508
Wichita	0.0978554
D.C.	0.0969797
Chattanooga	0.0968055
"Southern California"	0.0960928
Manchester	0.0956861
Ottawa	0.0952896
ASHEVILLE	0.0952174
"Grand Rapids"	0.0950638
"New England"	0.0950427
Fresno	0.0948622
Brooklyn	0.0940805
TRENTON	0.0939352
Tennessee	0.0936306
Portsmouth	0.0936109
BOGOTA	0.0932386
Concord	0.0931526
Pennsylvania	0.0931311
Utah	0.0930993
"St. Paul"	0.0928254
MetroStars	0.0926926
Greensboro	0.0924472
Madrid	0.0923937
Decatur	0.0922463
"North Carolina"	0.0922004
Barcelona	0.0919931
Maryland	0.0919677
Kentucky	0.0916898
Virginia	0.0915496
"Ann Arbor"	0.0914375
Madison	0.0912402
"Tel Aviv"	0.0911989
Huntsville	0.0908884
"Sao Paulo"	0.0907502
CARACAS	0.090568
Gainesville	0.090303
Hillsboro	0.0898376
Middletown	0.0898296
ATHENS	0.0897367
Havana	0.0895891
Alexandria	0.0894792
"Atlantic City"	0.0893616
Arkansas	0.0890715
"Baton Rouge"	0.0890235
Harrisburg	0.0887561
Americus	0.0887001
Prague	0.0884538
Oklahoma	0.0883457
"Buenos Aires"	0.0883224
L.A	0.0880103
Naples	0.0876772
SEOUL	0.0876616
California	0.0876359
Wisconsin	0.0875968
"Palo Alto"	0.0875755
Hawaii	0.0875678
Texas	0.087561
"Colorado Springs"	0.0872172
Illinois	0.0869453
Taipei	0.086881
Vienna	0.0866851
MELBOURNE	0.0862716
Winston-Salem	0.0862427
Munich	0.0861873
Lubbock	0.0859938
LONDON	0.0857541
"Rhode Island"	0.0854324
Georgetown	0.0850484
Iowa	0.0848973
Paris	0.084894
Stamford	0.084839
Columbia	0.0848226
Kansas	0.0847837
"West Virginia"	0.0843957
"Washington D.C."	0.0840937
Bloomington	0.084002
Guadalajara	0.0839747
"San Juan"	0.0838398
"Cape Town"	0.0837001
Oregon	0.0834849
Lima	0.0834733
Flagstaff	0.0833928
"Santo Domingo"	0.0832698
Tokyo	0.0832603
Belfast	0.0831528
Amsterdam	0.0830815
midland	0.0829273
Connecticut	0.0829046
Tempe	0.0828505
Alabama	0.0827124
Montgomery	0.0825394
))
("Columbus Circle" (desc 1696.15) (sims
"Union Square"	0.0818429
"First Avenue"	0.0691048
"Potsdamer Platz"	0.0679558
"Missouri River"	0.0656845
"Dead Sea"	0.0631312
"Golden Gate Bridge"	0.0600154
intranet	0.0564426
"Hofstra University"	0.054045
"Ohio River"	0.0537835
"Demilitarized Zone"	0.052945
"navy yard"	0.0528099
"Central Park West"	0.0524499
"Seventh Avenue"	0.0521861
origami	0.0516123
"Gorges Dam"	0.0504192
Xiaolangdi	0.0492141
"Hong Kong Island"	0.0484321
Carlyle	0.048396
"Delaware River"	0.0466345
"Yucca Mountain"	0.0463559
Hanford	0.0463406
genealogy	0.0455917
"Park Avenue"	0.0452746
"Conde Nast"	0.0452142
"Lake Okeechobee"	0.0447033
"Sunset Boulevard"	0.044442
Thomasville	0.0443169
"Bay Bridge"	0.0440553
"Grand Canyon National Park"	0.0433232
Reichstag	0.0429128
"Sea of Japan"	0.0427878
"Brandenburg Gate"	0.0426174
Redding	0.0425809
"coal gas"	0.0425673
Sahara	0.0424654
Mosul	0.0411067
"Miller Park"	0.0408784
"Potomac River"	0.0405312
"World Heritage List"	0.0402363
))
(column (desc 117871) (sims
article	0.158927
story	0.118967
essay	0.116893
commentary	0.108395
editorial	0.106636
book	0.105021
page	0.100539
columnist	0.0931195
report	0.0910733
headline	0.0898703
feature	0.0879689
letter	0.0855355
advertisement	0.0852172
AD	0.082374
magazine	0.0777058
piece	0.0768703
notebook	0.0762758
edition	0.0759336
paper	0.0750884
"magazine article"	0.0745006
obituary	0.0743031
newsletter	0.0742502
poem	0.0742152
"news story"	0.0741759
interview	0.0739145
journal	0.0736564
publication	0.0717424
review	0.0713805
section	0.0710348
novel	0.0702637
photo	0.0700442
excerpt	0.0699708
note	0.069826
text	0.0694377
photograph	0.069087
diary	0.068608
speech	0.0668348
"newspaper article"	0.0666932
comment	0.066496
Sidebar	0.0659826
document	0.0658559
paragraph	0.0657714
news	0.0654533
writing	0.0654494
analysis	0.0648012
cartoon	0.0647725
wall	0.0646585
script	0.0642491
profile	0.0639106
"short story"	0.0628657
picture	0.0628092
memo	0.0627659
newspaper	0.0616332
film	0.0615846
writer	0.0613493
documentary	0.061268
memoir	0.0612264
biography	0.0611039
sculpture	0.0609868
collection	0.0609004
list	0.0604135
statue	0.0602948
information	0.0601891
catalog	0.0600116
series	0.0597522
cookbook	0.059276
statement	0.0590143
opinion	0.0589652
episode	0.0584689
coverage	0.0582709
chapter	0.0581118
material	0.0579601
file	0.057786
textbook	0.0576416
remark	0.0576303
update	0.0572151
poll	0.0571509
window	0.0569506
autobiography	0.0568156
movie	0.0568119
recipe	0.0567114
email	0.0566615
commercial	0.0565691
guide	0.0565124
survey	0.0564931
item	0.0562815
account	0.0561819
testimony	0.0560514
Song	0.0557863
pamphlet	0.055104
print	0.0549927
word	0.0547533
box	0.0546776
conversation	0.0545111
detail	0.0543204
pillar	0.0542623
message	0.0535407
manuscript	0.0534156
study	0.0533241
site	0.0532498
convoy	0.0531725
editor	0.0531225
address	0.0529787
image	0.0529703
arch	0.0528628
brochure	0.052837
painting	0.0525801
special	0.0524795
fiction	0.0524122
Tower	0.0522323
sermon	0.0521266
reporter	0.0520374
listing	0.0519537
design	0.0516568
question	0.0515979
facade	0.0513765
room	0.051336
description	0.0512525
"news report"	0.0512134
literature	0.0512122
chart	0.0511657
Bible	0.0510525
tabloid	0.050993
frame	0.0508639
map	0.0505546
fountain	0.0504629
tale	0.0503892
package	0.050089
video	0.0500393
advice	0.0497802
copy	0.0496167
debate	0.0495713
category	0.049567
data	0.0495603
plume	0.0493367
line	0.0493359
segment	0.0492947
style	0.0491903
version	0.0491818
summary	0.0489982
lecture	0.0489893
joke	0.0489602
building	0.0488877
Times	0.0488463
poetry	0.0488301
advance	0.0486671
tile	0.0485571
sketch	0.0485369
menu	0.0485299
clip	0.0485252
garden	0.0485178
anecdote	0.0485048
dictionary	0.0484566
tip	0.0483484
discussion	0.0482326
album	0.0481817
exhibit	0.0480165
guidebook	0.0478582
"Sports Illustrated"	0.0478368
reporting	0.0478272
floor	0.0476175
light	0.0475333
gallery	0.0473375
staircase	0.0473338
poster	0.0473058
correspondent	0.0472981
space	0.0472843
observation	0.0472268
inscription	0.0472027
dozen	0.0470526
portrait	0.0470177
suggestion	0.0469333
Exhibition	0.0466331
ceiling	0.0464634
quotation	0.0464005
monument	0.046339
illustration	0.0462829
drawing	0.0462367
comedy	0.0460243
structure	0.0458726
class	0.0458302
event	0.0457506
scene	0.0456348
narrative	0.0455887
"New York Times"	0.0455104
database	0.0454613
appearance	0.0454539
monologue	0.0454534
booklet	0.0453798
music	0.0453423
view	0.0451705
content	0.0451609
case	0.0451591
object	0.0451585
tree	0.0451338
tome	0.0450847
card	0.0450736
transcript	0.0450497
program	0.0450487
mural	0.0450383
))
(columnist (desc 53483.4) (sims
editor	0.173103
writer	0.162254
correspondent	0.15851
reporter	0.151168
commentator	0.149086
sportswriter	0.143096
critic	0.124885
journalist	0.124796
"managing editor"	0.122016
"music critic"	0.121637
"copy editor"	0.119987
"theater critic"	0.119815
reviewer	0.118135
cartoonist	0.117465
"sports editor"	0.102681
pundit	0.100206
photographer	0.0997624
essayist	0.0965076
"sports writer"	0.095169
author	0.0933572
column	0.0931195
"gossip columnist"	0.0887803
publisher	0.0844073
historian	0.0836027
novelist	0.0786105
illustrator	0.0765687
staffer	0.0733925
sportswriters	0.0722308
executive	0.0720088
Reader	0.0715735
"art director"	0.0709144
consultant	0.0702497
poet	0.0697192
lecturer	0.0694467
stockbroker	0.0684702
educator	0.0679399
humorist	0.0676836
newspaperman	0.0664561
politician	0.0663235
scholar	0.0663063
publicist	0.0662971
editor-in-chief	0.0661515
article	0.0659609
broadcaster	0.0655513
biographer	0.065529
analyst	0.0654026
speechwriter	0.0652456
Playwright	0.0650871
activist	0.0647886
instructor	0.0642538
professor	0.0629318
newspaper	0.0628425
"newspaper editor"	0.0626836
copywriter	0.0625497
magazine	0.0624059
Ombudsman	0.0623202
pollster	0.0622308
editorial	0.0620768
lawyer	0.061991
translator	0.0605946
designer	0.0604952
philosopher	0.0603777
psychologist	0.0603417
musician	0.0599393
director	0.0597578
scribe	0.0597031
academic	0.0594795
"social scientist"	0.0589112
lobbyist	0.0586898
artist	0.0585692
advocate	0.0584339
Maven	0.0581398
businessman	0.0581378
chief	0.0581085
Attorney	0.0578584
screenwriter	0.0578119
therapist	0.0574189
manager	0.0573663
"social worker"	0.0570351
"management consultant"	0.0568426
colleague	0.0568051
comedian	0.0565456
"staff member"	0.0564841
"venture capitalist"	0.0562766
researcher	0.0558493
newsman	0.0558489
physician	0.0558074
aide	0.055591
legislator	0.0553652
NewsRoom	0.0553406
anchor	0.0552745
filmmaker	0.0549729
adviser	0.0549483
actor	0.0549371
banker	0.054915
"literary agent"	0.0547407
teacher	0.0540802
observer	0.0536828
expert	0.0536644
chef	0.0536424
stylist	0.0532972
specialist	0.0532787
scientist	0.0532339
physicist	0.0532137
rabbi	0.0529496
architect	0.0527732
announcer	0.0526692
sociologist	0.0525517
counselor	0.0525098
administrator	0.0519247
composer	0.0518793
Programmer	0.0517992
anthropologist	0.051777
"business executive"	0.0517517
assistant	0.0516995
interviewer	0.0515397
intellectual	0.0515297
"board member"	0.0514972
headline	0.0514407
coauthor	0.0513443
contributor	0.0512548
entertainer	0.0512286
psychotherapist	0.0511828
"labor leader"	0.0511493
economist	0.0510919
"New York Times"	0.0510755
painter	0.0510344
diplomat	0.0508093
sportscaster	0.0505415
psychoanalyst	0.0504181
accountant	0.0503171
guru	0.0502186
lawmaker	0.0500428
comic	0.0499167
salesman	0.0499082
pediatrician	0.0498288
friend	0.0498147
doctor	0.0497004
jurist	0.049533
handyman	0.0494488
curator	0.0494227
poll	0.0494184
"newspaper publisher"	0.0491574
"legal expert"	0.0489651
"investment banker"	0.0487194
pianist	0.0486646
engineer	0.0485961
evangelist	0.0481961
entrepreneur	0.0481444
fellow	0.0480839
librarian	0.0480406
professional	0.0480061
"art historian"	0.0479218
actress	0.0479176
supervisor	0.0479138
environmentalist	0.0477901
planner	0.0476791
newscaster	0.0476202
choreographer	0.0471165
psychiatrist	0.0470673
"disc jockey"	0.0468516
linguist	0.0468257
founder	0.0467773
"truck driver"	0.046774
strategist	0.0465064
pastor	0.0464706
"general manager"	0.0463739
satirist	0.0463086
intern	0.046271
presenter	0.0462354
restaurateur	0.0458941
filmmakers	0.0458389
songwriter	0.0457824
producer	0.0455426
"faculty member"	0.0455314
"television reporter"	0.0454985
singer	0.0454723
commentary	0.045469
"basketball coach"	0.0453055
preacher	0.0452439
cleric	0.0451924
commissioner	0.0451563
publication	0.0451436
"cabinet minister"	0.044902
"business leader"	0.0448874
cameraman	0.0447106
agent	0.0446645
"interior designer"	0.0446374
narrator	0.0444326
superintendent	0.0444018
prosecutor	0.0443904
media	0.0443661
nutritionist	0.0442579
insider	0.0442376
page	0.0442052
dancer	0.0441767
dissident	0.0441516
caller	0.0441283
CEO	0.0441209
cofounder	0.0440404
))
(com (desc 5484.43) (sims
aol.com	0.0990253
"Go Network"	0.0753215
dot-com	0.0732486
www	0.0679603
dot.com	0.065556
GO.com	0.0641057
snap.com	0.0628236
Buy.com	0.0619922
CDnow	0.0595703
eToys	0.0590545
DrKoop.com	0.0568617
Barnesandnoble.com	0.0557788
Healtheon/WebMD	0.0556256
Webvan	0.0538299
emachines	0.0528639
CNET	0.0525657
Yahoo	0.0520256
CNN.com	0.0505673
ETrade	0.0500288
http://www	0.0472476
eBay	0.0472464
ZDNet	0.0460516
"Compaq Computer"	0.0454891
Lycos	0.0453827
E-Trade	0.0453609
websites	0.0451941
Reel.com	0.0446883
Priceline.com	0.0443981
Toysrus.com	0.0442137
"Universal Serial Bus"	0.0428714
FireWire	0.0427259
iVillage	0.042517
B@B	0.041969
multimedia	0.0408987
homepage	0.0404075
MSN	0.0402562
))
(coma (desc 15430.3) (sims
unconsciousness	0.17575
stupor	0.150573
slumber	0.116293
"good condition"	0.102557
trance	0.100981
hibernation	0.0938465
convulsion	0.0852021
"heart failure"	0.0845013
paralysis	0.0804522
unconscious	0.0789854
"heart attack"	0.0780136
vomiting	0.0778741
dormancy	0.0767335
wheelchair	0.0764201
doldrums	0.0762995
limbo	0.0753313
remission	0.0753278
tailspin	0.074201
drowsiness	0.0737063
"hospital bed"	0.0736151
hiding	0.0731077
"hunger strike"	0.0718895
pneumonia	0.0692728
Depression	0.0669255
Psychosis	0.0667559
seclusion	0.0651628
"good spirit"	0.064746
hallucination	0.0643236
"good health"	0.0630524
slump	0.0630449
dehydration	0.0628214
leukemia	0.0624084
dizziness	0.0613991
malaise	0.060825
diarrhoea	0.0604481
nausea	0.0602423
disrepair	0.0601338
"emergency room"	0.0595621
custody	0.058587
shamble	0.0585062
NAP	0.0583853
detention	0.0577163
delirium	0.0575177
Rut	0.0573257
anesthesia	0.0570453
obscurity	0.0569971
pain	0.0569013
recession	0.0564029
Funk	0.0552939
hiatus	0.0548346
epilepsy	0.05465
oblivion	0.0544735
"good shape"	0.0542374
retardation	0.0541796
hemorrhage	0.0536613
numbness	0.0534292
"memory loss"	0.0525262
diarrhea	0.0524051
daze	0.0519014
quarantine	0.0508875
"mental institution"	0.0508832
"neurological disorder"	0.050705
chaos	0.050408
"public eye"	0.050179
spasm	0.0501316
blindness	0.0500306
"foster home"	0.0499906
seizure	0.0499524
receivership	0.0495182
recess	0.0489302
arrhythmia	0.0484823
crutch	0.0482753
confinement	0.0482646
fever	0.0482561
hypothermia	0.0478564
siege	0.047604
"danger zone"	0.0475433
Distress	0.0474817
migraine	0.0474147
jeopardy	0.0473033
stagnation	0.0470927
cramp	0.0469041
morgue	0.0460623
lull	0.046027
"second grade"	0.0460082
"lung cancer"	0.045731
dementia	0.0457053
orbit	0.0454871
"brain tumor"	0.0451705
"respiratory disease"	0.0451698
captivity	0.0451257
illness	0.045101
trauma	0.045052
miscarriage	0.0448572
"penalty box"	0.0446949
sickness	0.044679
disorder	0.0446524
"bankruptcy protection"	0.0442266
deafness	0.043833
"liver disease"	0.0437132
shutdown	0.0432735
hospice	0.0431828
overdrive	0.0431294
symptom	0.0430881
panic	0.042912
quandary	0.04277
captive	0.0425264
"nervous breakdown"	0.0424222
"mental hospital"	0.0423727
narcolepsy	0.0422346
ailment	0.0420147
flu	0.0419738
trimester	0.0419222
Meningitis	0.0418366
despair	0.0417498
splint	0.0417487
headache	0.0417154
complication	0.0416707
isolation	0.0416483
abyss	0.041619
"high blood pressure"	0.0415631
fatigue	0.0415369
"kidney disease"	0.0413896
"nursing home"	0.0413622
constipation	0.0411421
ward	0.0409961
downturn	0.0407879
heartbeat	0.0406453
bronchitis	0.0406356
"bomb shelter"	0.0405807
dialysis	0.0403112
syndrome	0.0402361
ulcer	0.0400569
adversity	0.0400248
))
(Comair (desc 1328.2) (sims
Asa	0.228205
Aeromexico	0.182196
"American eagle"	0.151283
Aeroflot	0.14713
"America West Airlines"	0.14635
USAir	0.13612
JAT	0.133434
"Virgin Atlantic"	0.133267
"Kenya Airways"	0.133106
"Korean Air"	0.124547
Sabena	0.123901
"Turkish Airlines"	0.123411
AIRTRAN	0.121394
"Thai Airways"	0.121223
"Cathay Pacific"	0.115594
"Alaska Airlines"	0.112812
"Gulf Air"	0.112379
"El Al"	0.110721
"US Airways"	0.109884
"Japan Airlines"	0.109182
"Northwest Airlines"	0.108065
Iberia	0.107697
"Trans World Airlines"	0.106858
"Ethiopian Airlines"	0.106014
Qantas	0.104849
Mig	0.10345
"British Airways"	0.103271
EgyptAir	0.101379
Alitalia	0.100734
"Continental Airlines"	0.100029
"blue angel"	0.0988147
"Air China"	0.097387
"South African Airways"	0.0971358
"China Southern Airlines"	0.0970507
"China Airlines"	0.0964039
"Air India"	0.0956945
"Air Canada"	0.0947519
"Indian Airlines"	0.0941555
SU-@@	0.0940319
"Delta Air Lines"	0.0929374
Swissair	0.0919978
"Air Lanka"	0.0917128
"Air France"	0.0906058
JetBlue	0.0900532
"Airbus @@@"	0.0898596
"Reno Air"	0.0875453
"Malaysia Airlines"	0.0874862
Varig	0.0873175
"Airbus A@@@"	0.0872462
"Delta Airlines"	0.0864894
"America West"	0.0856811
X-@@	0.0853191
Ansett	0.0852468
Fingerhut	0.0849405
widebody	0.0846789
"Southwest Airlines"	0.0838273
DC-@@	0.0834582
Lufthansa	0.0830294
"United Airlines"	0.0827087
SAA	0.0826902
SAS	0.0822077
"Cathay Pacific Airways"	0.0821239
"American Airlines"	0.0820043
Omnipoint	0.0814307
A-@	0.0813342
"Vietnam Airlines"	0.081204
"Pan Am"	0.0798994
C-@@	0.0788883
TWA	0.0784986
Harrier	0.0783763
turboprop	0.0779892
warthog	0.077593
A@@@-@@@	0.0765806
Il-@@	0.0765167
"China Eastern Airlines"	0.0765142
Garuda	0.0760279
TU-@@@	0.0754284
"Indian Air Force"	0.0745599
"Eastern Airlines"	0.0734918
"Philippine Airlines"	0.0732344
Kroger	0.0711403
Biman	0.0702958
Airlines	0.0699876
"Royal Air Force"	0.0699223
"P&AMP;G"	0.069281
ValuJet	0.068091
"U.S. Air Force"	0.067959
"Atlantic Richfield"	0.0678004
"Star Alliance"	0.0675104
Chiquita	0.0673907
XYLAN	0.0672499
F-@	0.0660398
C-@	0.0657007
T-@@	0.0654965
Prowler	0.0648287
Fedex	0.064763
"electronic warfare"	0.0646867
SkyTel	0.0640965
A@@@	0.0632523
A@XX	0.063056
A-@@@	0.0629236
"Airtouch Communications"	0.062845
REIT	0.0624109
ALZA	0.0621538
"Singapore Airlines"	0.0617323
Cerent	0.061607
tomcat	0.0610787
UTA	0.0609778
A-@@	0.0609287
airforce	0.0608706
"U.S. Trust"	0.0603338
roundtrip	0.0600314
P-@	0.0598301
Transamerica	0.0595277
"Internet Service Providers"	0.059123
KLM	0.0590695
MiG-@@	0.0590102
F-@@@	0.0584287
Cathay	0.058183
abacus	0.0579476
F@@	0.0578914
AWACS	0.0577202
Tropicana	0.0576504
thunderbolt	0.057638
Cessna	0.0576341
"Stage @"	0.0575475
B-@s	0.0572334
Checkfree	0.0572036
Spyglass	0.0570542
IAF	0.0570532
Gulfstream	0.0569132
"Fred Meyer"	0.0566151
two-seater	0.0559137
shipper	0.0559065
Netcom	0.0556125
TCI	0.054872
"McDonnell Douglas"	0.0546493
double-decker	0.054123
"Federal Express"	0.0538505
"Air France Concorde"	0.0536344
ITT	0.0535244
Concorde	0.0532887
DC-@	0.0532068
RAMBUS	0.0526318
kamikaze	0.052621
McDonnell	0.0522779
"Bay Networks"	0.0520863
spotter	0.0520186
"ground attack"	0.0519651
Emery	0.0516639
MD	0.0513916
RAF	0.0508704
stealth	0.0507958
UFW	0.0507142
"United Parcel Service"	0.0505185
Broadcast.com	0.0501642
"container ship"	0.0499489
Embraer	0.0497697
Qaddafi	0.0497079
Vasile	0.0496664
"National Association of Manufacturers"	0.0492329
frigate	0.0489233
Bellush	0.0487202
"voting machine"	0.0486698
Stratus	0.0485273
Orangina	0.0484575
EA	0.0484195
feeder	0.0483688
"Cessna @@@"	0.0483463
AN-@@	0.0482613
"Sprint PCS"	0.0482478
reconnaissance	0.0481325
B-@	0.047932
Aventajado	0.0476346
C-@@@	0.0475172
Asda	0.0473691
Forty-two	0.0472807
Paxson	0.0471518
"three pitchers"	0.0465263
Kleenex	0.0462846
Counsell	0.0460919
"coaxial cable"	0.0460696
"Air National Guard"	0.0458822
"Israeli Foreign Ministry"	0.0456877
Ameritech	0.045634
Chris-Craft	0.0456274
Petrofina	0.0454484
Dragonair	0.0454082
Hirschbeck	0.0454015
PRIMESTAR	0.0453928
WELLPOINT	0.0452562
Fernandes	0.0451594
Broderbund	0.0449625
PolyGram	0.0449111
"up to six"	0.0447893
leeson	0.0447403
Hazelwood	0.0446035
ATC	0.044589
Ingram	0.0445861
"trucking company"	0.0445764
))
(comb (desc 5703.46) (sims
toothbrush	0.0920207
tweezer	0.083748
"fountain pen"	0.0769129
shampoo	0.0688339
"rolling pin"	0.0669108
razor	0.0640135
barrette	0.0615807
detergent	0.0611325
handbag	0.0605702
scraper	0.0599002
"baseball bat"	0.0598866
"picture frame"	0.0594621
combing	0.0592894
broom	0.0588144
eyeglass	0.058672
eraser	0.0575826
trowel	0.0574188
"water bottle"	0.0573225
"shaving cream"	0.0572919
"tennis racket"	0.0572577
knife	0.0572182
screwdriver	0.0570503
stapler	0.0561117
stylus	0.0555813
paintbrush	0.0555525
"tape measure"	0.0551321
"toilet paper"	0.0543664
"grocery bag"	0.0542222
lotion	0.0537746
cladding	0.053125
"razor blade"	0.0530841
tricycle	0.0527983
soap	0.0521162
bead	0.0520932
racquet	0.0510863
crayon	0.0510205
deodorant	0.050698
"water jug"	0.050323
Ladle	0.0497389
wallet	0.0495194
spatula	0.0494796
pail	0.0494107
vial	0.049305
utensil	0.0488999
handkerchief	0.0488794
mouthwash	0.0485251
"measuring cup"	0.0484589
prong	0.0477906
scalpel	0.0476072
scarf	0.0474632
"rubber band"	0.0471781
mallet	0.0469146
"hair spray"	0.0465095
"vacuum cleaner"	0.0464497
decanter	0.0464495
"slip of paper"	0.0464313
chartreuse	0.046414
"seat cushion"	0.0463447
diaper	0.0462686
"laundry detergent"	0.0461367
tiara	0.0460868
sheeting	0.0458702
"water filter"	0.0455659
tarpaulin	0.045555
ointment	0.0454757
pencil	0.0451895
shard	0.0451418
scissors	0.0449632
suitcase	0.04479
"sewing machine"	0.0446614
camcorder	0.0444994
"paper bag"	0.0442577
"surgical instrument"	0.0440887
"frying pan"	0.0440778
"filing cabinet"	0.0439969
hose	0.0439522
shovel	0.0438339
earring	0.0438077
amulet	0.0437718
sunglasses	0.0436308
"garden hose"	0.0435916
notepad	0.0435708
hubcap	0.0435105
"running shoe"	0.0432458
clicker	0.0431785
"folding chair"	0.042758
chalice	0.042753
easel	0.0427351
necklace	0.0426509
denture	0.0425075
"piece of cloth"	0.0424782
figurine	0.0423575
"tennis shoe"	0.0421608
"membership card"	0.0421429
"dollar bill"	0.0420298
wand	0.041827
"bowling ball"	0.0417752
vase	0.0415966
towel	0.0415553
sifting	0.0413645
grater	0.0413037
"packing material"	0.0412902
truss	0.041289
"boarding pass"	0.0410983
"aluminum foil"	0.0408502
"light touch"	0.0408019
wheelbarrow	0.040714
backpack	0.0404912
truncheon	0.0403328
hanger	0.0402959
sandal	0.0402544
cleat	0.0402486
"shopping cart"	0.0401453
))
(combat (desc 47351.1) (sims
battle	0.150064
warfare	0.138383
fighting	0.13117
fight	0.121994
war	0.118987
conflict	0.0989421
firefight	0.0944596
confrontation	0.092546
reconnaissance	0.0925237
skirmish	0.0905053
clash	0.0845025
struggle	0.0838772
"civil war"	0.0824804
"military action"	0.0811284
surveillance	0.0802922
attack	0.077885
"combat mission"	0.0759369
operation	0.0752398
offensive	0.0739273
"ground attack"	0.0735563
gunbattle	0.0734426
crossfire	0.0717313
bombardment	0.071103
patrol	0.0708324
violence	0.0706781
gunfight	0.070465
battlefield	0.0699118
bombing	0.0685193
campaign	0.0683847
deployment	0.0680381
"air raid"	0.0675946
raid	0.067107
"World War II"	0.0666433
exercise	0.0665419
assault	0.0665046
Mission	0.0664117
airstrikes	0.066364
hostility	0.0662199
action	0.0661886
rescue	0.0643691
encounter	0.0643332
ambush	0.0638353
army	0.06379
disaster	0.062982
"air attack"	0.0623807
artillery	0.0623653
duel	0.0621882
intervention	0.0618941
shelling	0.0616384
"war game"	0.0613474
bloodshed	0.0605321
"military campaign"	0.0605061
training	0.0598501
shootout	0.0591309
crackdown	0.0590616
"Marine Corps"	0.058491
catastrophe	0.0581944
debate	0.0580652
Kosovo	0.0579482
navy	0.0578977
"Vietnam War"	0.0576089
"military service"	0.057564
standoff	0.0575041
infantry	0.0572511
maneuver	0.0570678
self-defense	0.0564892
evacuation	0.0564118
emergency	0.0563396
counterattack	0.0561988
strife	0.0560688
search	0.055299
shoot-out	0.0552965
transport	0.0552071
activity	0.0550631
military	0.0547197
communication	0.0543973
politics	0.0540464
campaigning	0.0540359
"Air Force"	0.0537438
"U.S. Army"	0.053244
"law enforcement"	0.0531974
competition	0.0531591
aggression	0.0530455
invasion	0.0529899
prevention	0.0529799
crisis	0.0529525
wartime	0.0526796
"National Guard"	0.0526705
diplomacy	0.0525584
enforcement	0.0524198
"price war"	0.052148
showdown	0.0521274
"arms race"	0.0519227
contact	0.0519069
gunfire	0.051861
"World War I"	0.0517313
"Korean War"	0.0516809
protest	0.0516158
contest	0.0514251
"bombing run"	0.0508642
fighter	0.0508621
troop	0.0508445
mobilization	0.0507437
duty	0.0506481
carnage	0.050382
negotiation	0.0503538
crime	0.0503376
litigation	0.0502644
Bosnia	0.0502015
patrolling	0.0501389
mayhem	0.0499645
storm	0.0498718
"air defense"	0.0498048
Vietnam	0.049786
riot	0.0496601
earthquake	0.0493107
bargaining	0.0493091
crusade	0.0492934
situation	0.0492099
atrocity	0.0491594
cooperation	0.0491504
cleansing	0.0491187
repression	0.048969
weapon	0.0488692
"Cold War"	0.0488457
feud	0.0486296
rioting	0.0484819
drill	0.0484654
stealth	0.0483733
siege	0.0483264
terror	0.0482481
management	0.0480668
flight	0.0480474
NATO	0.0480272
massacre	0.0480197
"U.S. Air Force"	0.0479697
accident	0.0479513
hunting	0.0478034
research	0.0477016
scuffle	0.0476908
flood	0.047643
brawl	0.047611
aviation	0.0475157
"big league"	0.0474097
sortie	0.0473806
unrest	0.0470625
stalemate	0.0470486
fray	0.0470467
peace	0.0468391
rivalry	0.0468386
sparring	0.0468321
marketing	0.0465919
terrorism	0.0465687
landing	0.0465454
altercation	0.0465341
"problem solving"	0.04635
environment	0.0462395
"military force"	0.0462226
tension	0.0461739
relationship	0.0461706
onslaught	0.0461259
Y@K	0.0460916
chaos	0.0460246
helicopter	0.0459818
cease-fire	0.0459581
Balkans	0.0459284
bomber	0.0459146
peacetime	0.045914
security	0.0459071
dispute	0.045797
coordination	0.0457503
bloodletting	0.0456687
rehabilitation	0.0456456
free-for-all	0.0456444
engagement	0.0455912
demonstration	0.0455031
shooting	0.0453981
Racing	0.0453179
zone	0.0453169
postseason	0.0451835
destruction	0.0451668
resistance	0.0451278
hurricane	0.0451031
classroom	0.0450029
epidemic	0.0449687
"political campaign"	0.0449012
wreck	0.044777
famine	0.044761
incident	0.0447044
construction	0.0446152
eradication	0.0445691
escalation	0.044544
preparation	0.0444432
marine	0.0442809
testing	0.0442588
commerce	0.0442105
exploration	0.0441734
task	0.0441277
espionage	0.0440767
exercises	0.0440745
))
("combat boot" (desc 1776.13) (sims
"body armor"	0.192781
"ski mask"	0.146431
"rubber boot"	0.1278
anorak	0.124543
beret	0.122993
"felt hat"	0.116419
windbreaker	0.114136
"cowboy hat"	0.113978
"leather jacket"	0.108883
"polo shirt"	0.10849
turtleneck	0.107114
"life jacket"	0.105454
"blue jean"	0.10525
"tennis shoe"	0.103951
bustier	0.103259
leotards	0.10263
tunic	0.0986205
miniskirts	0.096831
stiletto	0.0961926
jumpsuit	0.0960244
blackface	0.0946304
bandanna	0.0945764
sweatshirt	0.0943096
sneaker	0.0939914
overcoat	0.0925889
headband	0.092226
undershirt	0.0917974
bluejeans	0.0909681
"feather boa"	0.0904379
pullover	0.0893195
sweater	0.089281
"dark glasses"	0.0892219
cardigan	0.0891253
"sweat pants"	0.08795
"bulletproof vest"	0.0874565
"baseball cap"	0.0870289
panty	0.0870148
"sport shirt"	0.0865577
"boxing glove"	0.0865404
knickers	0.0865069
"bowler hat"	0.0862686
eyeliner	0.0857266
blinder	0.084258
"bathing suit"	0.0838032
armband	0.0828699
"hard hat"	0.0823469
scarf	0.0822653
legging	0.0816817
capris	0.0812486
sandal	0.0812453
sunglasses	0.0812249
underpants	0.0811844
"name tag"	0.0808096
"running shoe"	0.0803158
parka	0.0788992
"stiletto heel"	0.0752635
"cowboy boot"	0.0751621
seatbelt	0.0748043
loafer	0.0738582
fedora	0.0733993
"belt buckle"	0.0727399
duds	0.0719537
yarmulke	0.0715697
halter	0.071231
mascara	0.0695751
"trench coat"	0.0689896
earring	0.0689568
"oxygen mask"	0.0687368
hosiery	0.0684299
cleat	0.0682564
Pantsuits	0.067611
khaki	0.066728
cutoffs	0.0663919
Poncho	0.0660533
"neck brace"	0.0652697
Chino	0.0640837
pajama	0.0640302
coverall	0.0639319
goggles	0.063463
skullcap	0.0623729
tweed	0.0614971
"skin rash"	0.0613706
ponytail	0.0613485
blinker	0.0613344
goatee	0.060825
trouser	0.0605544
bellbottoms	0.0603529
tampon	0.0602957
"face mask"	0.0594947
tights	0.0591156
undergarment	0.0578431
jaundice	0.0575956
"life vest"	0.0575815
BOA	0.0574859
bathrobe	0.0573376
bikini	0.0570549
blouse	0.0570405
necktie	0.0569778
suspender	0.0567341
"nail polish"	0.0566254
"hot pants"	0.0565062
neckline	0.0562028
"evening gown"	0.0560953
bodysuit	0.0560706
curler	0.0558404
hand-me-down	0.0557807
brassiere	0.0557131
eyeshadow	0.0552495
headphone	0.0552453
lingerie	0.0551423
stocking	0.0550006
corduroy	0.0547282
spandex	0.0547125
swimsuit	0.0546971
scrubs	0.0542255
"straw hat"	0.0540611
apron	0.053669
nightgown	0.0535279
"evening dress"	0.0531697
"bow tie"	0.0529271
"shoulder pad"	0.0525822
caftan	0.0525199
slacks	0.0523884
bib	0.0523131
sunscreen	0.0519086
raincoat	0.0512688
specs	0.0512526
"dress shirt"	0.0512443
trousers	0.0509687
taffeta	0.0505624
"fur coat"	0.0503816
snorkel	0.0501849
tux	0.0500891
fishnet	0.0500506
insignia	0.0496368
irritability	0.0493327
prosthesis	0.04902
"life preserver"	0.0490176
headlamp	0.0490115
visor	0.0486716
"upset stomach"	0.0486029
earplugs	0.0485779
wristband	0.0485091
shortness	0.0483006
"contact lense"	0.0480509
docker	0.0478106
getup	0.0474216
pantyhose	0.046821
regalia	0.0468046
girdle	0.0465662
moustache	0.0463571
"dress uniform"	0.0458699
"mink coat"	0.0458691
Fubu	0.0456947
headdress	0.0454698
flannel	0.0454398
bodice	0.0450659
STETSON	0.0448382
"sports jacket"	0.0446727
earphone	0.0441835
"Los Angeles Unified School District"	0.0440894
miniskirt	0.0439086
pendant	0.0436593
"pants suit"	0.0436095
turban	0.0431152
crockery	0.0430277
slicker	0.0427606
marketeers	0.0422325
slipper	0.041942
"top hat"	0.0417953
Sash	0.0415077
beeper	0.0412803
knapsack	0.0412728
Bonnet	0.0412711
waistcoat	0.0412217
bolero	0.0411646
"cocktail dress"	0.0411617
G-string	0.0409608
pompadour	0.0409125
smock	0.0407586
eyeglasses	0.0403432
petticoat	0.0403017
sequin	0.0402422
))
("combat mission" (desc 3151.02) (sims
sortie	0.191034
"bombing run"	0.169701
infantryman	0.111923
"Army Air Corps"	0.0997475
"tour of duty"	0.0925603
"internment camp"	0.0884316
"prisoner of war"	0.0866061
airdrop	0.0819741
"triple play"	0.0808048
crewmembers	0.0766289
"atomic bomb"	0.0750175
"military service"	0.0727969
spacewalks	0.0725184
coast-to-coast	0.0713765
warplanes	0.069866
"sales outlet"	0.0695267
internment	0.0688274
"fatal accident"	0.0669429
reconnaissance	0.0668374
"major-league team"	0.0653532
"domestic flight"	0.0646407
Concordes	0.0644727
"major league season"	0.0642233
"air raid"	0.0639757
POW	0.0639557
protectorate	0.0626669
enlistee	0.0622835
"test-tube baby"	0.0617959
Japanese-Americans	0.061025
"naval forces"	0.0610003
no-decisions	0.0607217
"Texas Air National Guard"	0.0603645
Stealers	0.0602708
spacewalk	0.0594186
"international flight"	0.05941
centenarian	0.0593413
"All-Star Games"	0.0589812
F-@@s	0.058961
takeaways	0.0586098
"feature film"	0.0583153
baserunners	0.058272
MD-@@s	0.0581713
"space walk"	0.0575839
years.	0.0574667
"test match"	0.0573843
starts.	0.0570509
"military mission"	0.0569714
soliders	0.0563417
heatwave	0.0560533
"concentration camp"	0.0556775
belligerents	0.0554933
great-grandchildren	0.0553625
"political detainee"	0.0552693
"Medal of Honor"	0.054851
"base runner"	0.0547688
fighter-bombers	0.0546476
member-states	0.0544191
squadron	0.054231
"war crime"	0.0541375
"ground attack"	0.0538369
"Pro Bowls"	0.0536292
submariner	0.0531848
fatality	0.0529712
tomcat	0.0529198
crewmen	0.0529127
"AIDS patient"	0.0528865
"oil well"	0.0525832
VMs	0.0525416
MiGs	0.0524618
kilometre	0.0524073
"Douglas MacArthur"	0.0523287
runnings	0.0522517
paratrooper	0.0520426
Nepalese	0.0512928
"air power"	0.0511147
"miles per hour"	0.0509876
airstrike	0.0508872
"Purple Heart"	0.0508824
Cessna	0.0507655
pushup	0.0504925
neutrality	0.0502544
"basis point"	0.0499839
B-@s	0.0498476
"naval officer"	0.0498128
aftershock	0.0494961
defoliant	0.0492979
kph	0.0492085
planeload	0.0491782
registrant	0.0491709
m.p.h	0.0491165
"military campaign"	0.0489582
"cloud cover"	0.0488395
"fire engine"	0.0488279
airmen	0.0485729
"military position"	0.0483926
paddler	0.0483372
"space capsule"	0.0482031
"Iraqi POWs"	0.0481392
captive	0.0477652
Beijingers	0.0475944
"National Guardsmen"	0.0475568
solder	0.0472646
faceoffs	0.047244
"Mekong Delta"	0.0471771
skydiver	0.0471621
stealth	0.0470993
postgraduate	0.0468783
"extra points"	0.0468385
bloodiest	0.0467444
"Ryder Cups"	0.0466445
servicemen	0.0466408
Apaches	0.0465641
"mountain gorilla"	0.0464667
combatant	0.0464662
"nuclear explosion"	0.0463768
mushers	0.0461934
"community newspaper"	0.0459772
"Bronze Star"	0.0457384
evacuee	0.0456933
"political prisoner"	0.0455786
"upper hand"	0.0452508
"World Food Summit"	0.0451508
sub-projects	0.0450135
"U.S. Army"	0.0449136
exhibitor	0.0445394
"kilometers per hour"	0.0445315
"Infantry Battalion"	0.0439671
"Branch Davidians"	0.0436647
Seizinger	0.0436311
Mozambican	0.0436135
MiG-@@s	0.04359
detainee	0.0435447
games.	0.0433274
"working day"	0.0432965
drawdown	0.0431627
Chechens	0.0430973
examinees	0.043059
"Iranian POWs"	0.0430053
"alarm bell"	0.0426054
aggressor	0.0424222
"giant panda"	0.0423651
parachutist	0.0422674
"foster child"	0.0422499
"American plane"	0.0422425
"fire truck"	0.0420261
heroism	0.0420033
"sugar refinery"	0.041966
"petrol bomb"	0.0419539
"New Caledonia"	0.0419317
infantrymen	0.0418191
Gi	0.0417619
"medical institution"	0.0417535
firemen	0.0417506
top-@@	0.0417279
"branch office"	0.0417028
"Bosnian Croats"	0.041467
"business executive"	0.0412212
"major leaguer"	0.0411042
"civic duty"	0.0409306
triple-double	0.0408353
innings.	0.0408335
academician	0.0408125
"labor contract"	0.0407625
"prison camp"	0.0407318
multinationals	0.0406741
"mass murder"	0.0405399
"explosive device"	0.0405217
cantons	0.0404453
fencer	0.040442
"road game"	0.0404253
Davidians	0.0403782
"close call"	0.0403024
"fighter aircraft"	0.0402747
atoll	0.0401193
bloodletting	0.0400975
rower	0.0400428
))
("combat zone" (desc 1089.72) (sims
"Air National Guard"	0.0679932
flashpoints	0.0621978
penitentiary	0.0621882
"Desert Storm"	0.0613987
Kargil	0.0613279
Bangui	0.0606075
subdistrict	0.0602178
"prison camp"	0.0595649
Buldon	0.056732
"Texas Air National Guard"	0.0543948
"geographic area"	0.052578
"Korean War"	0.0521872
"crisis situation"	0.0514572
"suburban area"	0.0510939
"South Lebanon"	0.0506733
Anatolia	0.0494515
Sinai	0.0465688
"Kathmandu Valley"	0.0461147
underpass	0.0459188
"Texas Senate"	0.0456009
"Army Air Corps"	0.0453619
"mental institution"	0.0449693
"Delta State"	0.0449672
"Democratic Republic"	0.0440065
Haicheng	0.0439802
"South Vietnam"	0.0437698
shoplifter	0.0436411
"military hospital"	0.0436299
"merchant marine"	0.0434466
"another @@.@ percent"	0.0431319
"prison cell"	0.0428134
"British Army"	0.0421966
"subject area"	0.0419598
"Florida Everglades"	0.0418965
Crete	0.0416779
"Central Mindanao"	0.0413627
"election district"	0.0413106
"line of business"	0.0412658
"bank building"	0.0412634
"Central Africa"	0.0411953
"East China Sea"	0.0410959
Drenica	0.040687
"Irian Jaya"	0.0406854
Batticaloa	0.0406044
))
(combatant (desc 16051.4) (sims
ex-combatants	0.135005
fighter	0.119073
militiamen	0.112284
rebel	0.109141
guerrilla	0.108928
soldier	0.107854
deserter	0.106481
servicemen	0.0994173
militant	0.0979013
civilian	0.0959334
refugee	0.0957754
returnees	0.0912833
soliders	0.0908847
insurgent	0.0894756
troop	0.0876483
belligerents	0.0873372
guerilla	0.0867879
"displaced person"	0.0859574
"military personnel"	0.082618
detainee	0.0825523
policemen	0.0809257
Eritrean	0.0808218
Serbs	0.0801322
militia	0.0798267
armymen	0.0793044
paramilitary	0.078347
prisoner	0.078146
"Kosovar Albanians"	0.0774338
Haitian	0.077017
warlord	0.0767767
Lebanese	0.0764709
"prisoner of war"	0.076423
faction	0.0761804
peacekeeper	0.0758142
reservist	0.0751427
"political prisoner"	0.0749287
enlistee	0.0743941
POW	0.0743481
conscript	0.073937
Liberian	0.0737942
gunmen	0.0735767
"military man"	0.0723882
mercenary	0.0717416
villager	0.0712876
Albanian	0.0708398
extremist	0.0701792
wounded	0.0701118
mutineer	0.0693339
protester	0.0691905
"military officer"	0.0691166
"military leader"	0.0690406
separatist	0.0689637
participant	0.0689455
demonstrator	0.0689438
"armed forces"	0.0686958
Kurds	0.0681543
attacker	0.067952
"Kosovo Albanians"	0.067112
Ugandan	0.066735
militiaman	0.0666406
homeless	0.0666075
migrant	0.0665627
cadre	0.0664453
UNITA	0.0664383
personnel	0.0661871
KLA	0.0660977
"army officer"	0.0659503
firefighters	0.0659493
Mozambican	0.0657156
follower	0.0656716
airmen	0.0655606
Ethiopian	0.0654773
sailor	0.0653201
comrade	0.0652372
commando	0.0650217
Cambodian	0.0645359
Kamajors	0.0644998
Rwandan	0.0644831
army	0.0642083
Angolan	0.0641432
infiltrator	0.0641414
settler	0.0638619
Palestinian	0.0637136
"security force"	0.0635202
Tutsis	0.0634497
inmate	0.0634238
"paramilitary organization"	0.0630808
"Revolutionary United Front"	0.0627179
"Iranian POWs"	0.0626727
evacuee	0.0624251
miner	0.0624142
VMs	0.0624058
terrorist	0.0622518
Iraqi	0.0620749
rioter	0.0615407
marcher	0.0611685
dissident	0.0611027
assailant	0.0609607
"Sierra Leonean"	0.0607105
"union member"	0.0606523
volunteer	0.0604389
Afghan	0.0602614
"Sri Lankans"	0.0600543
Iranian	0.0599288
hostage	0.0598691
Kosovars	0.0596693
abductor	0.0596058
bandit	0.0595417
Hutus	0.0595128
"farm worker"	0.0594966
criminal	0.0594389
citizen	0.0590248
supporter	0.0589044
orphan	0.0588462
commander	0.0588353
casualty	0.0588329
youth	0.0587768
troops	0.058553
"police officer"	0.0584078
"university student"	0.0583617
"Kosovo Liberation Army"	0.0582902
junta	0.058093
"Irish Republican Army"	0.0579633
"church member"	0.0579228
laborer	0.0578634
Vietnamese	0.0577953
kidnapper	0.0576764
noncombatant	0.057667
asylum-seekers	0.0576528
immigrant	0.0574387
"political leader"	0.0573666
"National Union"	0.0572561
inhabitant	0.0571438
"civil servant"	0.0570963
Georgian	0.0568567
Klansmen	0.0567533
Interahamwe	0.0567387
Hutu	0.0565014
Somali	0.0564452
Nigerian	0.0563016
bystander	0.0562716
"military force"	0.0562486
Burundian	0.056121
secessionist	0.0561147
Cuban	0.0559923
protestor	0.0557938
contras	0.0557842
ally	0.0557446
worshipper	0.0557398
"North Koreans"	0.0556918
businessmen	0.0556488
crewmembers	0.0555889
journalist	0.0555163
Honduran	0.0554547
Kenyan	0.0551363
seminarian	0.0550957
enemy	0.0550892
hardliner	0.0549588
Israeli	0.0548878
youngster	0.0548796
Tanzanian	0.0547532
sniper	0.0547486
Bosnians	0.0546084
defector	0.0545044
Mexican	0.0544576
Sudanese	0.0544363
marine	0.0544095
"work unit"	0.0543685
activist	0.0542238
delegate	0.0539623
Copt	0.0539441
serviceman	0.0536371
Nepalese	0.053542
"staff member"	0.0534467
adversary	0.0532504
"East Timorese"	0.0532377
schoolchildren	0.0531691
pilgrim	0.0531342
countrymen	0.0530634
foreigner	0.0528695
"Greek Cypriots"	0.0528512
captive	0.0528106
"military unit"	0.0527631
observer	0.0527482
RUF	0.0526719
"South African"	0.0524787
spectator	0.0524412
Chechens	0.0524304
pawn	0.0523288
worshiper	0.0523123
Jew	0.0521664
paratrooper	0.0520686
"political party"	0.0519394
sympathizer	0.0519148
Turk	0.051889
aggressor	0.0518368
antagonist	0.0516483
atrocity	0.0514876
"coal miner"	0.051381
policeman	0.0513131
))
(combativeness (desc 1573.83) (sims
guile	0.0699592
aggressiveness	0.0695582
stamina	0.0661892
"good humor"	0.0622945
exoneration	0.0609747
"price competition"	0.0603069
cockiness	0.0602327
decisiveness	0.0591533
ebullience	0.0581751
boldness	0.0546679
explosiveness	0.0539132
toughness	0.053527
perfectionism	0.0533325
cohesiveness	0.053112
earnestness	0.0526679
recklessness	0.0525916
bravery	0.0519687
"smart aleck"	0.0509901
graciousness	0.0505224
politicization	0.0501496
"sense of responsibility"	0.049836
musicality	0.0497239
elusiveness	0.047994
fearlessness	0.0475574
feistiness	0.0468417
ruthlessness	0.0462332
lobbying	0.0462204
athleticism	0.0460053
selfishness	0.0455903
wattage	0.045556
frankness	0.0451495
statesmanship	0.044931
likability	0.0448158
dynamism	0.0448024
buoyancy	0.0445027
dexterity	0.0444294
perseverance	0.0443844
bluntness	0.0443754
co-chairmanship	0.0442962
agility	0.0442407
cleverness	0.0434014
tenacity	0.0431491
planeloads	0.0426503
vibrancy	0.0425204
spunk	0.0424235
self-importance	0.0420508
humanitarianism	0.0419345
affability	0.0411135
steadfastness	0.0408778
acuity	0.0407745
firmness	0.0401644
"surprise resignation"	0.0400579
))
(combination (desc 116865) (sims
mix	0.124123
blend	0.110901
merger	0.104916
kind	0.103205
variety	0.0975415
type	0.0967251
dose	0.0960068
mixture	0.0940629
lack	0.0902345
form	0.0887365
sense	0.0860325
array	0.0840853
amount	0.0839206
sort	0.0834653
use	0.0791354
quality	0.0786089
acquisition	0.0780636
method	0.0779243
technique	0.077631
measure	0.0773176
result	0.0770878
combo	0.0770002
change	0.0761461
idea	0.07598
style	0.0758812
therapy	0.0754455
pattern	0.0754122
element	0.0751676
strength	0.0749705
lot	0.0748348
effect	0.0740407
bit	0.0738426
drug	0.072698
approach	0.0725887
performance	0.0719491
product	0.0716944
treatment	0.071325
cocktail	0.0712301
deal	0.071147
concept	0.0708767
number	0.0705889
experience	0.0703199
confluence	0.0702967
success	0.0701546
package	0.0701322
strategy	0.0694727
version	0.0693634
ability	0.0692413
some	0.0692398
example	0.0690476
flavor	0.0690128
problem	0.0683043
technology	0.0676995
system	0.0673155
aspect	0.0671288
Formula	0.0669232
partnership	0.0663494
introduction	0.0660209
piece	0.0654633
phenomenon	0.0653721
hint	0.0653634
design	0.0653235
reduction	0.0653125
presence	0.0652073
concentration	0.0650078
regimen	0.0648593
sound	0.0648363
Convergence	0.0648221
consolidation	0.0646867
possibility	0.0645358
level	0.0644995
expansion	0.0644918
arrangement	0.0642555
variation	0.0641988
choice	0.0641523
development	0.0641025
skill	0.0639471
feature	0.0638881
factor	0.0638143
talent	0.0637727
punch	0.0637715
vision	0.0635189
sale	0.0632912
size	0.0632809
juxtaposition	0.0632808
personality	0.0632273
model	0.0631027
display	0.0630752
takeover	0.0628333
beauty	0.06282
growth	0.0627205
purchase	0.0626726
potential	0.0626068
policy	0.0626002
Diet	0.0625904
dish	0.0624671
burst	0.0624054
structure	0.0623005
absence	0.0622445
brand	0.0621713
image	0.0621268
taste	0.0620888
advantage	0.0620783
timing	0.061998
test	0.0619737
ingredient	0.0619035
sequence	0.0618672
characteristic	0.0618076
speed	0.0618003
tactic	0.0617948
quantity	0.061779
program	0.0617554
touch	0.0617121
surge	0.0616407
color	0.0615552
degree	0.0614546
prospect	0.0612154
"side effect"	0.0611353
intensity	0.0611042
application	0.0610965
nature	0.0610408
pill	0.0610002
plan	0.0609208
series	0.060903
impact	0.0608578
coincidence	0.0606717
sign	0.060659
injection	0.060341
part	0.0603115
creation	0.060188
effort	0.060049
recipe	0.0599953
cut	0.0599815
plenty	0.059941
theory	0.0598741
experiment	0.0598175
shortage	0.0597371
thing	0.0596259
action	0.0595577
solution	0.0595188
consistency	0.0593461
opportunity	0.0593211
transaction	0.0593205
understanding	0.0592443
trend	0.05922
medication	0.0590907
balance	0.0590521
source	0.0590215
tandem	0.0590069
term	0.0589787
collection	0.0588238
production	0.0587549
scenario	0.0586793
alternative	0.0585478
notion	0.0585216
something	0.0584865
relationship	0.0583302
failure	0.0582884
availability	0.0582468
tool	0.0582166
improvement	0.0580927
circumstance	0.0579838
feeling	0.0578845
behavior	0.0578758
interaction	0.0577995
knowledge	0.0577905
benefit	0.0577551
investment	0.0577369
cost	0.0576755
increase	0.0576055
case	0.0575151
twist	0.0575036
innovation	0.0574679
feat	0.057456
means	0.0573049
range	0.0572987
pair	0.0572972
fact	0.0572919
line	0.0572649
shape	0.0572217
story	0.057078
discovery	0.0570612
antibiotic	0.0568554
situation	0.0568137
wave	0.0567396
moment	0.0566868
device	0.0566678
popularity	0.0566509
flurry	0.0565646
any	0.0565463
Alliance	0.0565216
abundance	0.0564995
promise	0.0564263
theme	0.0564202
price	0.0564104
scheme	0.0563699
option	0.0563181
flow	0.056285
component	0.0562549
enough	0.0561997
))
(combine (desc 12107.5) (sims
harvester	0.0761485
"Senior Bowl"	0.0743317
tractor	0.0723417
bulldozer	0.0602907
Or	0.0593719
forklift	0.0546447
"diesel engine"	0.0533307
rig	0.0493232
"dump truck"	0.0471839
minicamp	0.0465273
snowplow	0.0464853
Motorcycle	0.0439407
excavator	0.0437566
backhoe	0.0424657
"Valley Ranch"	0.0424075
"lawn mower"	0.0419466
"electric car"	0.0418393
"motor vehicle"	0.0416599
"machine tool"	0.041396
loader	0.0413526
"washing machine"	0.041104
))
(combined (desc 2568.35) (sims
"nearly @@ points"	0.132598
career-best	0.119673
"more than @@ points"	0.117008
team-high	0.113188
"more than @@@ yards"	0.104169
"more than @,@@@ yards"	0.0939774
"over @@ points"	0.0840098
"three points"	0.0790911
career-high	0.0779289
half-length	0.0774344
season-high	0.0747441
"about @@ points"	0.0704937
"more than @,@@@ tons"	0.0672779
game-high	0.0638592
"more than @ million tons"	0.0637082
"clean and jerk"	0.060918
backstroke	0.0602915
"five points"	0.0602839
TKO	0.0601284
Super-G	0.0600174
"three-day event"	0.0597857
"seven points"	0.0575496
scull	0.0560522
"chip shot"	0.0558411
"three match points"	0.0554703
"a few pounds"	0.0541629
decathlon	0.05359
"six points"	0.0534325
blinder	0.0532968
"more than @@,@@@ tons"	0.0532079
three-pointer	0.0523376
"Dubai World Cup"	0.0523347
hundredth	0.0521249
triple-double	0.0518932
Heptathlon	0.0517617
"Louis Vuitton Cup"	0.0515448
"three tons"	0.051177
"two baskets"	0.0506174
"Lake Louise"	0.0504872
im	0.0502622
hole-in-one	0.0502567
"French Grand Prix"	0.0497956
"one homer"	0.0496593
"technical knockout"	0.0496269
medley	0.0495351
"first basket"	0.0493417
whisker	0.0490348
"one shot"	0.0489686
"nine points"	0.0484976
twenty-six	0.0484616
skeet	0.0484513
"more than @@@ pounds"	0.0484228
"first points"	0.0481412
"Pepsi @@@"	0.0480122
"London Marathon"	0.0472941
"service break"	0.0470712
dressage	0.0469198
"about @@@ tons"	0.0468951
breaststroke	0.0467564
"cash crunch"	0.0466824
"one cent"	0.0462511
"first eight"	0.0459448
Suzanne	0.0458477
"less than one percent"	0.0456864
"more than @@ yards"	0.0453873
"first five"	0.0453741
gusher	0.0451344
"eight points"	0.0449492
"power failure"	0.0448384
"five billion yuan"	0.0447334
"pommel horse"	0.0445738
"swimming event"	0.0445699
equaliser	0.0445098
"double digit"	0.0444966
"three cents"	0.0443986
"Who Wants to Be a Millionaire"	0.0443829
steeplechase	0.0443735
"NFC Central"	0.0442569
TDs	0.044178
"more than @,@@@ pounds"	0.0441485
"pop fly"	0.044086
"Santa Anita Derby"	0.0439949
career-highs	0.0438865
"about @@@ pounds"	0.0437037
"nearly $@"	0.0436056
"Home Run Derby"	0.0435905
"numbers game"	0.0435685
"six homers"	0.0434796
"about @@ pounds"	0.0433904
"almost $@@@,@@@"	0.0432777
"Grand Slam Cup"	0.0432388
"seven homers"	0.0431304
"next @@"	0.0431276
"American League East"	0.0430768
"almost $@@@ million"	0.0430572
"Pulitzer Prizes"	0.043009
goalpost	0.0429536
bushel	0.0428856
"over @@ million tons"	0.0428532
"two cents"	0.0428094
"horizontal bar"	0.0427607
"Pan Am Games"	0.0423894
"more than @@@ million dollars"	0.0420266
"NL West"	0.0417309
relays	0.0416776
"almost two"	0.0416639
"AFC Championship Game"	0.0415526
"eight cents"	0.0414735
"more than five"	0.0414627
"seven billion yuan"	0.0414512
"game of chance"	0.0413725
"more than @.@ percent"	0.0411498
"World Junior Championships"	0.0411071
"long jump"	0.0410665
Hendry	0.0410517
"Boston Marathon"	0.041035
disqualification	0.0409849
"Pan American Games"	0.0408709
"two sacks"	0.040788
"Big Sky"	0.0407541
"figure skating"	0.0404263
javelin	0.0404183
Vidro	0.0401732
"Buick Classic"	0.0401289
))
(combing (desc 1676.51) (sims
sifting	0.179291
sorting	0.109517
shivering	0.0978978
wading	0.0744783
digging	0.0704233
shockwaves	0.0630425
Christmases	0.0602312
crawling	0.0590453
stumping	0.0586048
fumigation	0.0559753
Partway	0.0553197
"bond trading"	0.0550777
poking	0.053889
Godolphin	0.0524613
NATO-led	0.0506512
"fund-raising campaign"	0.0499871
nine-hour	0.0496217
plowing	0.0494733
seven-hour	0.0492018
"Desert Fox"	0.0475879
"poring over"	0.0468619
sweating	0.0452878
"foot traffic"	0.044166
Caesarean	0.0440033
commuting	0.0431311
ter	0.0430416
gallstone	0.0423259
unionization	0.0421421
CD-R	0.0420113
DVD-ROM	0.0418411
Hendrick	0.0417302
forklift	0.0417063
gliding	0.0415612
dragnet	0.041275
"kidney stone"	0.04119
processional	0.041072
six-hour	0.0408275
"almost $@@ billion"	0.0405855
stevedore	0.0405283
rooting	0.0404664
gallbladder	0.0403063
eight-hour	0.0400736
))
(combo (desc 9804.76) (sims
combination	0.0770002
duo	0.063797
tandem	0.0571863
concoction	0.0455336
playlists	0.0451768
"won-lost record"	0.0447042
"chicken salad"	0.044638
ensemble	0.043598
"jazz band"	0.0419533
instrumentalist	0.0417163
contraption	0.0412361
SAMPLER	0.0409309
trope	0.0408388
pairing	0.0405932
appetizer	0.0405376
"main course"	0.0403677
timepiece	0.040216
trio	0.0401719
guitarist	0.0401157
))
(Combs (desc 9070.11) (sims
"Puff Daddy"	0.0979952
Sheinbein	0.0966175
Natale	0.096426
Simmons	0.0893121
Hirschfeld	0.0864101
Nichols	0.0860406
Francois	0.0840155
Blackthorne	0.0833282
Sakic	0.0819783
Neulander	0.0806201
Lyons	0.0802427
Coolio	0.079469
Gotti	0.079441
Eminem	0.0791951
Merlino	0.0791107
Carruth	0.0787686
"El Hage"	0.0779745
Giacchetto	0.0771198
Puffy	0.076707
Kimeses	0.0753758
Salinas	0.0753205
Barrionuevo	0.0751087
Schwarz	0.0749968
Cisneros	0.0745478
Stayner	0.0742661
Vargas	0.0742332
Trie	0.073855
Martorano	0.0735596
furrow	0.0723477
Karbaschi	0.0722635
Bowers	0.0719446
Demps	0.0710646
Haney	0.0707584
Hess	0.0706202
Salemme	0.0705298
Lundy	0.0700405
Kalejs	0.0699498
DeBartolo	0.0695713
Maag	0.0693929
Meeks	0.0691176
McDougal	0.0689339
Priebke	0.06876
Cruz	0.0686618
Fagan	0.0682136
Symington	0.0681795
Kimes	0.0677907
Valenzuela	0.0672109
Kehoe	0.0671914
Skakel	0.0671047
Abernathy	0.067073
"Ray Lewis"	0.0670507
Ramsey	0.0668099
Bhutto	0.066444
KEVORKIAN	0.066441
Edwards	0.0664191
Morales	0.0661469
Frankel	0.0658981
Sheppard	0.0658031
"George Speight"	0.0657855
McDermott	0.0656859
Mikhailov	0.0649825
Pirro	0.0646746
"Maturino Resendiz"	0.0642059
Laudor	0.0641723
Reyes	0.0641299
Kaunda	0.0640137
Einhorn	0.0640023
Connery	0.0637642
Sharma	0.0637423
Vasquez	0.0637117
Manson	0.0636593
nix	0.0635981
Sebaggala	0.0633614
Soliah	0.0632892
Akayesu	0.0632521
Flemmi	0.0631958
Mudge	0.0630902
Hersh	0.0630246
Ghani	0.0629343
leeson	0.0628071
Tyson	0.0627839
Flores	0.0626539
Swango	0.0624304
McVeigh	0.0623138
Peters	0.0622534
Haouari	0.0621573
Mitnick	0.0621055
Koch	0.0620534
Shayler	0.0618807
Nikitin	0.061602
Keating	0.0613728
Lazarenko	0.0612198
Berlusconi	0.0611719
Fortier	0.0609866
Botha	0.0608582
Woodward	0.0607291
"Abu Nidal"	0.0607264
Shinn	0.0607168
Whaley	0.0606627
Baez	0.0606551
Deri	0.060623
Speight	0.0606052
Blanton	0.0604766
Jay-Z	0.0604759
Lileikis	0.0604713
Kazhegeldin	0.0603937
Capano	0.060278
Eastwood	0.0601923
DMX	0.0600078
Marcos	0.0598415
Pollard	0.0596396
Yates	0.0595787
Brennan	0.0595349
Hsia	0.0594417
Kiareldeen	0.0592892
Agca	0.0589594
"Angel Maturino Resendiz"	0.0587275
Jelisic	0.0585754
Dorismond	0.0584029
Quackenbush	0.0583949
Matthews	0.0583868
Soto	0.0583763
Sankoh	0.058238
Gusinsky	0.0581636
"Cary Stayner"	0.058137
Hubbell	0.058102
Bowe	0.0579718
Kambanda	0.0578798
Hallinan	0.0578568
Baumhammers	0.0574634
Villanueva	0.0574566
Robison	0.0573498
SabreTech	0.0572982
Simpson	0.0571846
Mullen	0.056963
Meskini	0.0568757
Hiett	0.0568056
Stearns	0.0567021
hale	0.0566772
Brawley	0.0565322
Kagalovsky	0.0565232
"W.R. Grace"	0.0564889
Musa	0.0564859
Holmes	0.0560542
Weiss	0.0559021
Chung	0.0557645
Barnes	0.0557542
Volpe	0.0556318
Elliott	0.0553935
Olson	0.0553426
Hoke	0.0551732
Hofer	0.0550496
Walton	0.0549791
Lewis	0.0548783
"Ruiz Massieu"	0.0548755
Kozeny	0.0548637
Schmidt	0.0548578
Gravano	0.0547195
Noe	0.0546948
Phillips	0.05459
Hernandez	0.0545469
Anwar	0.0545235
Coles	0.0544839
"Koch Industries"	0.0544766
Finkel	0.054372
Ferguson	0.0543607
Oakley	0.0543324
Kaczynski	0.0542938
Falater	0.0542728
Battie	0.0542211
Gauthe	0.0541657
Harris-Lewis	0.0541426
Haskins	0.0541301
defendant	0.0540629
Nunez	0.0540346
Welch	0.054002
"Maturino Resendez"	0.053728
Brooks	0.053727
Cianci	0.0536499
Harris	0.053645
Sharif	0.0536365
"Louise Woodward"	0.0536301
Papon	0.0535859
Ressam	0.0535631
Shipman	0.0534574
Barker	0.0534556
Hensley	0.0534178
Jennings	0.0532665
Mullins	0.0532618
"Iranian Jews"	0.0532304
Resendez-Ramirez	0.0530914
Tucker	0.0530237
Piggie	0.0530093
LeFave	0.0529282
Lawler	0.0529247
Marley	0.0529206
Stephens	0.0528791
Lugo	0.0528195
Cusack	0.0528162
Mendez	0.0527824
))
(combustion (desc 3588.85) (sims
ignition	0.104305
"gas turbine"	0.0995072
burning	0.0939387
phaseout	0.0936948
octane	0.0896632
biogas	0.0866479
decomposition	0.0780545
oxide	0.0770093
"chemical reaction"	0.0752933
decontamination	0.0742169
irradiation	0.0741635
spillage	0.0717649
Venting	0.0687009
decompression	0.0686609
biomass	0.0678057
turbine	0.0653903
metabolism	0.0647118
leakage	0.0646915
"blast furnace"	0.0636677
refining	0.0625785
emission	0.0616472
emitter	0.0611249
hydrocarbon	0.0608864
ethylene	0.0600123
nitrogen	0.0599843
fermentation	0.0595416
methane	0.0582243
"fuel cell"	0.0580835
aero	0.0574357
vapor	0.0574072
"fossil fuel"	0.057061
"acid rain"	0.0549901
loading	0.0536302
foul-up	0.0535799
pumping	0.0529307
Radon	0.0527638
chlorine	0.0524509
dioxide	0.0515191
"six million tons"	0.0512036
optic	0.0509009
Sarin	0.05051
"million tons"	0.0501501
fertilization	0.0497968
"human activity"	0.0496226
benzene	0.0495575
"more than @@@ million tons"	0.0495523
diesel	0.0492429
scarcity	0.0491302
digestion	0.0491156
V@@	0.0488806
utilization	0.0486566
Turkmen	0.048524
tailpipe	0.0484211
clotting	0.0480802
"Alta Vista"	0.0474249
"rocket fuel"	0.046617
saturation	0.0466126
"hydrogen sulfide"	0.0465805
V-@@	0.0464829
photosynthesis	0.0464326
coolant	0.046413
hydrogen	0.0463475
chloride	0.045707
VX	0.0455659
desalination	0.0454984
"rare earth"	0.0447769
purification	0.0446782
"deficit spending"	0.0445775
inhalation	0.0444173
"solar power"	0.0443547
"Unit @"	0.0442346
aerospace	0.0438107
carbon	0.0437377
MTBE	0.0436354
evaporation	0.0432447
"natural selection"	0.043192
plasma	0.0430248
"diesel engine"	0.0429972
"three million tons"	0.0428114
additive	0.0426007
propane	0.0425916
sulfur	0.0425152
oversupply	0.042345
reserves	0.0423242
impoverishment	0.0416794
"Pratt &AMP; Whitney"	0.0416677
propulsion	0.0416581
servicing	0.0415558
"sonic boom"	0.0415232
incineration	0.0414976
magma	0.0414409
aerosol	0.0414305
"low quality"	0.041365
"fiber optics"	0.0411123
phase-out	0.0410819
grading	0.0410178
"coal gas"	0.0408695
SDH	0.0408663
deforestation	0.0408314
rollovers	0.0405936
transformative	0.0405873
felling	0.0405402
"air pressure"	0.0404425
miscarriage	0.0403544
spraying	0.0402153
"dog bite"	0.0401406
"La Nina"	0.0401049
"market force"	0.0400712
))
(Comcast (desc 8918.37) (sims
TCI	0.235353
Mediaone	0.216269
"Comcast Corp."	0.21472
"Cox Communications"	0.201055
"Time Warner"	0.189331
"MCI WorldCom"	0.184508
Cablevision	0.18357
"Global Crossing"	0.182665
Qwest	0.178397
WorldCom	0.177071
Vodafone	0.16577
"Tele-Communications Inc."	0.16542
"Bell Atlantic"	0.16366
"USA Networks"	0.156679
EarthLink	0.153859
MCI	0.153065
BellSouth	0.152889
"Deutsche Telekom"	0.149807
Viacom	0.148224
SBC	0.147957
"U S West"	0.139233
Litton	0.138754
ExciteAtHome	0.138559
"News Corp."	0.136807
GTE	0.136577
"Bell Atlantic Corp."	0.134796
NTL	0.134238
Nextel	0.132946
Alcoa	0.131577
"Time Warner Inc."	0.131308
Totalfina	0.130665
"MediaOne Group"	0.130312
ENTERGY	0.130003
MindSpring	0.129745
Norwest	0.128571
DirecTV	0.128024
CMGI	0.127529
Vivendi	0.127319
Bertelsmann	0.126339
"Pacific Century"	0.124099
McKesson	0.124074
"Tribune Co."	0.122516
EMC	0.122241
"Telecom Italia"	0.12166
"Phelps Dodge"	0.121213
BankAmerica	0.120652
Lycos	0.120453
"British Telecom"	0.120102
Pfizer	0.119684
Olivetti	0.119614
"America Online"	0.118778
"Cable &AMP; Wireless"	0.118052
Healtheon/WebMD	0.117716
Mannesmann	0.117668
AOL	0.1173
Cisco	0.115431
"Sprint Corp."	0.115242
"American Home Products"	0.114859
Nortel	0.114545
Ameritech	0.114076
Telefonica	0.113782
Airtouch	0.113542
"American Home"	0.112977
Warner-Lambert	0.111545
UAL	0.111442
Citigroup	0.111422
Exxon	0.111186
"U.S. Trust"	0.110289
LVMH	0.108263
"Walt Disney Co."	0.108217
"France Telecom"	0.107694
AlliedSignal	0.107136
E-LOAN	0.107107
REPSOL	0.106952
Infoseek	0.106812
"Royal Bank"	0.106414
Monsanto	0.106147
excite	0.106088
NiSource	0.105898
"America Online Inc."	0.105388
"GTE Corp."	0.104797
"Deutsche Bank"	0.104638
DaimlerChrysler	0.104404
BSKyB	0.103724
Hasbro	0.103314
"Lucent Technologies"	0.102737
RealNetworks	0.102735
"Bank of Scotland"	0.102717
"Computer Associates"	0.102514
GANNETT	0.101869
Enron	0.101301
"General Electric"	0.101267
Ericsson	0.100701
Renault	0.100099
WebMD	0.10009
"WorldCom Inc."	0.0998158
Seagram	0.0996354
"US West"	0.0995792
Healtheon	0.0994913
Lucent	0.0994248
Echostar	0.0994111
Genzyme	0.0994084
AMR	0.0990196
PLDT	0.0989423
"Con Edison"	0.0987445
"BP Amoco"	0.0985107
Interpublic	0.0983946
Unilever	0.0980086
"HBO &AMP; Co."	0.0974199
"Hearst Corp."	0.0971736
Amoco	0.0969163
RJR	0.0962994
"Bertelsmann AG"	0.0960142
"SBC Communications"	0.0959981
"Turner Broadcasting"	0.0959575
Alcatel	0.0952164
"Vodafone AirTouch"	0.0952023
CNET	0.0951737
Aetna	0.0946096
Broadcast.com	0.0943942
Compaq	0.0943619
"Johnson &AMP; Johnson"	0.0939418
"MCI Worldcom Inc."	0.0937906
"JDS Uniphase"	0.093716
"Red Hat"	0.093692
IBM	0.0936907
VoiceStream	0.0935517
Verizon	0.0934032
Gazprom	0.0931954
NatWest	0.0929805
t	0.0929623
VENATOR	0.0929183
Dupont	0.0928332
TYCO	0.0926382
"Ford Motor Co."	0.0924974
Amgen	0.0921321
NationsBank	0.0918419
ENTREMED	0.0916454
Yahoo	0.0915928
Corel	0.0915701
Motorola	0.0914808
Genentech	0.0914698
"Travelers Group"	0.0913703
Medtronic	0.0909309
Checkfree	0.0908368
Biogen	0.0907031
"Societe Generale"	0.0906868
AIG	0.0906094
Sony	0.0905393
EMI	0.090516
Halliburton	0.090351
Novartis	0.0901833
YPF	0.0901546
"Sprint PCS"	0.0900901
Akamai	0.0899722
Chrysler	0.0899341
WPP	0.0898901
Mobil	0.0898836
Aegon	0.0898651
"True North"	0.0895109
NTT	0.0894953
"Hongkong Telecom"	0.0893945
Omnicom	0.0893551
Ciena	0.0891514
Mattel	0.089021
Lockheed	0.0889672
AHP	0.0887801
"Liberty Media"	0.088517
Cigna	0.0884917
Citicorp	0.0884517
"Airtouch Communications"	0.0884239
"Global Crossing Ltd."	0.0884139
"National Grid"	0.0882985
Emulex	0.0882627
NORTHROP	0.0882489
"Park Place"	0.0881469
"Conde Nast"	0.0881064
KLM	0.0880742
Daimler-Benz	0.0878418
Pepsico	0.0878185
"Canadian Airlines"	0.0877031
"Ask Jeeves"	0.0875768
HSBC	0.0875626
UBS	0.0875363
Disney	0.0874967
"KCP&AMP;L"	0.0874164
Asarco	0.0873251
"cable operator"	0.0871954
AGL	0.0870809
"Pfizer Inc."	0.086706
"Microsoft Corp."	0.0866478
"phone company"	0.0865566
"Sara Lee"	0.0864863
ARCO	0.0864498
Priceline.com	0.0863801
"United Airlines"	0.0863401
Raytheon	0.0863043
Xerox	0.0861742
MP@.com	0.0860817
"Times Co."	0.0859884
))
("Comcast Corp." (desc 1679.89) (sims
"Tele-Communications Inc."	0.35125
"MediaOne Group"	0.263319
Comcast	0.21472
"Cox Communications"	0.205223
Mediaone	0.157155
"SBC Communications Inc."	0.157056
NTL	0.154061
"Time Warner Inc."	0.151594
"CBS Corp."	0.145272
"MCI Worldcom Inc."	0.141544
"Global Crossing Ltd."	0.136223
"Vodafone AirTouch"	0.134701
TCI	0.132772
"Softbank Corp."	0.123903
"MCI Communications Corp."	0.123543
"Viacom Inc."	0.121216
"Bell Atlantic Corp."	0.115076
"Orange PLC"	0.112834
"News Corp."	0.111547
Eurotunnel	0.107006
"Bertelsmann AG"	0.104658
"Time Warner"	0.104048
"Lucent Technologies Inc."	0.103554
"T Corp."	0.102729
"America Online Inc."	0.100248
"Vodafone Airtouch PLC"	0.0968939
"MCI WorldCom"	0.0961176
"Liberty Media"	0.094265
"Tribune Co."	0.0942565
"Nippon Telegraph"	0.0933434
"SBC Communications"	0.0925375
"International Business Machines Corp."	0.0923921
"Sprint PCS"	0.0904371
"WorldCom Inc."	0.0896952
Scientific-Atlanta	0.0889763
"Walt Disney Co."	0.0886521
"British Telecommunications"	0.087366
Unilever	0.0870488
"Sprint Corp."	0.0860078
"British Telecom"	0.08296
"Hongkong Telecom"	0.0829487
"Cable &AMP; Wireless"	0.0826016
MCI	0.0824296
"Hong Kong Telecom"	0.082113
ZDTV	0.0805813
"GTE Corp."	0.0804205
"Motorola Inc."	0.0801054
"Gannett Co."	0.0797014
"Citigroup Inc."	0.0793634
"Turner Broadcasting"	0.07914
Vodafone	0.078475
"Abbott Laboratories"	0.0777331
"NTT DoCoMo"	0.0774937
"Lycos Inc."	0.0773581
"coaxial cable"	0.0772407
"Northeast Utilities"	0.0764104
Alcatel	0.0762944
Viacom	0.0761608
"Pacific Century Cyberworks"	0.0758659
GANNETT	0.0758565
"Cisco Systems Inc."	0.0750264
"Airtouch Communications"	0.074834
Aegon	0.074576
"CMGI Inc."	0.074481
"American Family Publishers"	0.0744617
"China Telecom"	0.0738957
RCN	0.0728628
UAL	0.0725539
"Ameritech Corp."	0.0717197
ExciteAtHome	0.0712925
Equifax	0.0712633
"Frontier Corp."	0.0710677
"Global Crossing"	0.071048
"Aetna Inc."	0.0710127
"American International Group"	0.0707637
"John Malone"	0.0706966
"Seagram Co."	0.0706365
"Renault SA"	0.0703908
ING	0.070059
Omnipoint	0.0691641
SBC	0.069102
Airtouch	0.0673869
"Monsanto Co."	0.0673819
"Halliburton Co."	0.0673329
"UAL Corp."	0.0671902
Cargill	0.0671781
"USA Networks"	0.0667935
Softbank	0.0661925
"Vivendi SA"	0.0653743
GTE	0.0652245
BSKyB	0.0650715
Ameritech	0.0649107
PTT	0.0640626
Cablevision	0.0639092
KPN	0.0635197
REPSOL	0.0634825
Qwest	0.0632711
"Mannesmann AG"	0.0631077
"Verizon Communications"	0.0630151
WorldCom	0.0623289
"Fannie Mae"	0.0617339
"Vanguard Group"	0.0616446
Vivendi	0.061623
"United Airlines"	0.0610562
Totalfina	0.0604683
"ELF AQUITAINE"	0.0603691
"China Unicom"	0.0603685
BellSouth	0.0600695
AstraZeneca	0.0600625
"Merck &AMP; Co."	0.059718
"Times Mirror Co."	0.0596866
Hasbro	0.0596149
PLDT	0.0595377
"Baby Bells"	0.0592294
"Exxon Corp."	0.0591977
Railtrack	0.059179
"EMC Corp."	0.0590814
"Canal Plus"	0.0585262
"First USA"	0.0584478
Telefonica	0.0582783
TIAA-CREF	0.0581837
Albertson's	0.0581475
Mannesmann	0.0581451
"Enron Corp."	0.0580326
Checkfree	0.057933
"Yahoo Inc."	0.0571928
"UBS AG"	0.0570757
Bertelsmann	0.0569439
"Telecom Italia"	0.0566549
Tropicana	0.056496
"Computer Associates"	0.0564933
Ericsson	0.056245
China.com	0.0559099
"Ask Jeeves"	0.0558716
YPF	0.0558318
"De Beers"	0.0557173
Verizon	0.0555466
MarketWatch.com	0.0554454
Astra	0.0554347
"Philip Morris"	0.0554301
Ltd	0.0551749
"Chase Manhattan Corp."	0.055074
"Northrop Grumman"	0.054616
"Con Edison"	0.0544925
Alcoa	0.0542653
"Travelers Group"	0.0540863
SFX	0.0540725
Telstra	0.053333
"British Petroleum"	0.0533237
"Lucent Technologies"	0.0532915
"L.L Bean"	0.0531488
Exxon	0.0531435
"BellSouth Corp."	0.053063
Echostar	0.0530574
"Sumitomo Bank"	0.053023
"Hearst Corporation"	0.0530002
"US West"	0.0529941
"First Union"	0.0529352
"Livent Inc."	0.0525198
"Koch Industries"	0.0525146
Bristol-Myers	0.0521774
Seagram	0.0521457
"Fidelity Investments"	0.0520889
Dupont	0.05196
Litton	0.0518918
BASF	0.0518849
"Daniel Snyder"	0.0518672
"Qualcomm Inc."	0.0517435
"Sony Corp."	0.0517432
AMR	0.0516801
Chevron	0.0516261
"Court TV"	0.0516118
CompUSA	0.0515868
Symantec	0.0514381
"Federated Department Stores"	0.0512766
"Berkshire Hathaway"	0.0509412
NiSource	0.0509229
"Animal Planet"	0.0509115
Healtheon	0.0505919
"Howard Milstein"	0.0505652
Monsanto	0.0503318
Honeywell	0.050217
Eni	0.0500017
GPU	0.0499377
Philips	0.0498626
Halliburton	0.0498392
Federated	0.0498216
"New York Times Co."	0.0494697
"Putnam Investments"	0.0494069
Infoseek	0.0492993
NTT	0.0492811
"Lockheed Martin Corp."	0.0492633
ALZA	0.0491875
cn	0.049045
"U S West Inc."	0.0487052
Citigroup	0.0486845
PLN	0.0485447
"Phelps Dodge"	0.0485162
"Ford Motor Company"	0.0485109
"Staples Inc."	0.0484273
))
(COMDEX (desc 2541.96) (sims
Macworld	0.232937
VFW	0.0895832
"Sundance Film Festival"	0.0873684
"Consumer Electronics Show"	0.0870907
"Lambeth Conference"	0.081704
"International AIDS Conference"	0.0815384
"Expo @@@@"	0.0796044
e@	0.078543
"Fashion Week"	0.0768386
"United Center"	0.0737735
"New York Film Festival"	0.0729938
"World Economic Forum"	0.0725573
"Lincoln Center Festival"	0.0723229
"Phoenix Open"	0.0691544
"Grammy Awards"	0.0690689
"MCI Center"	0.0683876
Metrodome	0.0681341
CE	0.068104
IGC	0.06787
"preparatory school"	0.0674239
"Fortune Global Forum"	0.067287
Asia-Europe	0.0670839
"World Petroleum Congress"	0.0662592
DMA	0.0646199
"Reunion Arena"	0.0635764
"America West Arena"	0.0628917
"Urban League"	0.0619548
PATA	0.0619081
Opry	0.0618441
ritz	0.0609546
"Busch Stadium"	0.0607584
FleetCenter	0.0605426
"ASEAN Regional Forum"	0.0604844
"Nassau Coliseum"	0.0602418
"civic center"	0.0595453
"National Council of La Raza"	0.0590194
"Qualcomm Stadium"	0.0588962
TM	0.0579728
Foxwoods	0.0573769
"Convention Center"	0.0570202
"Pauley Pavilion"	0.0566947
Sundance	0.0566015
"Conseco Fieldhouse"	0.0562717
Exposition	0.0554298
"National Association of Broadcasters"	0.0552307
Roundtable	0.0548893
WEF	0.054759
"World AIDS Conference"	0.0545263
Ringling	0.0545092
"U.N. Millennium Summit"	0.0542285
hourlong	0.0540644
MFA	0.0531853
"New York City Opera"	0.052954
"Arrowhead Stadium"	0.0529294
"Senior Bowl"	0.0528493
COUTURE	0.052823
"National Urban League"	0.0527072
"Memorial Stadium"	0.0525224
Imus	0.0522691
"Democratic Convention"	0.0521676
ICA	0.0521129
"Miami Arena"	0.0519714
Tanglewood	0.0516327
"haute couture"	0.05152
menswear	0.0513645
Riverdance	0.0512491
"Academy Awards"	0.0511972
"Night Football"	0.0511642
"South Pacific Forum"	0.0510294
"Olympic Club"	0.0509795
"Lincoln Center Theater"	0.0508341
"Museum of Contemporary Art"	0.0507692
keynote	0.0507113
"Continental Arena"	0.0506376
"Valley Ranch"	0.0504531
"Asia-Pacific Economic Cooperation"	0.0504383
"Republican National Convention"	0.0501481
Nitro	0.0501311
"Jacobs Field"	0.0501052
PowerPoint	0.0500737
"Augusta National Golf Club"	0.0497112
Freaknik	0.0496809
"Veterans Stadium"	0.049383
fairground	0.0493397
"South Summit"	0.0492468
"Comerica Park"	0.0488552
"Off Broadway"	0.0483927
minicamp	0.0481249
"World Conference"	0.048106
Shea	0.0480369
"Business Council"	0.0479512
"P.S @@@"	0.0479359
Dior	0.047889
"round table"	0.0478343
fruition	0.047612
"University of South Carolina"	0.0475569
"Earth Day"	0.0475516
Alamodome	0.047376
"Hendrick Motorsports"	0.0472813
"standing room"	0.0471787
"three-day event"	0.0471679
CITES	0.0470331
weeklong	0.0470175
"World Food Summit"	0.0468833
KeyArena	0.0467766
"Cotton Bowl"	0.0466193
Caravaggio	0.0466046
"Museum of Modern Art"	0.0466046
ZDTV	0.0463543
"American Legion"	0.046235
nominating	0.0460262
"Turner Field"	0.0459908
"Asia Pacific Economic Cooperation"	0.0457641
"Foxboro Stadium"	0.0456727
"International Congress"	0.0456197
"Jewish Museum"	0.0454831
"Saks Fifth Avenue"	0.0454624
"Grand Ole Opry"	0.0450194
Pir	0.0449417
FOMC	0.0449355
"Halliburton Co."	0.0449202
Superdome	0.0448544
telemedicine	0.0447658
"Promise Keepers"	0.0447558
Foxboro	0.044624
SkyDome	0.0446145
"Democratic National Convention"	0.0446144
"Mastercard Colonial"	0.0442897
off-Broadway	0.044278
Spoleto	0.0440845
ILO	0.0440819
"Trade Fair"	0.0438401
"Trans World Dome"	0.0437691
Mensa	0.0437569
O'Donnell's	0.0437443
Disneyland	0.0434655
Longwood	0.0434381
six-day	0.0433588
"Brigham Young University"	0.0433094
armory	0.0431669
Pacific-@@	0.0431169
"Mile High Stadium"	0.0430784
naught	0.0428566
"Shea Stadium"	0.0428132
postgame	0.0427539
UPU	0.0427476
"Asia-Europe Meeting"	0.0426124
"Ministerial Meeting"	0.0425524
Irwindale	0.0424522
"water cooler"	0.0424123
"first school"	0.0423953
"Coors Field"	0.0423439
ASEM	0.0422881
"Manhattan Beach"	0.0422692
"Erie Canal"	0.0422563
"Lone Star"	0.0422531
"European Council"	0.0421437
"Special Olympics"	0.0421149
"Millennium Summit"	0.0419999
"Fox Network"	0.0418091
IPU	0.0417772
"Georgia Dome"	0.0417621
"Museum of Fine Arts"	0.0417249
"Marine Midland Arena"	0.0416916
NDA	0.0416711
Spring/Summer	0.0416465
"Texas Stadium"	0.0415588
striptease	0.0415132
"Sears Point"	0.0414866
"town meeting"	0.0413793
"computer graphics"	0.0413668
Medinah	0.0410242
lunchtime	0.0409713
"October @-@"	0.0409671
Martinsville	0.0409272
"Mandalay Bay"	0.040839
RAMBOUILLET	0.0408088
"church service"	0.0407504
Saks	0.0406393
Transamerica	0.0406382
"Emmy Awards"	0.0405801
Doral	0.0405629
"Continental Airlines Arena"	0.0405029
"Japanese Embassy"	0.0404653
noontime	0.0404448
"sports arena"	0.0403083
"Pan Pacific"	0.0401514
TNN	0.040068
"Alcoholics Anonymous"	0.0400295
))
(come (desc 5865.45) (sims
came	0.0881902
"Happy Birthday"	0.0651526
"Star-Spangled Banner"	0.0625676
"Amazing Grace"	0.0521574
Comes	0.048303
Ahold	0.046589
reminded	0.0465611
"American Pie"	0.0447268
"Double Jeopardy"	0.0440598
Hi	0.0427467
"Dirty Bird"	0.0417795
Why	0.0417682
))
(come-on (desc 4046.96) (sims
tagline	0.0593958
stinker	0.0587819
ditty	0.056837
enticement	0.0565597
gimmick	0.0559001
"sales pitch"	0.0545618
epigram	0.0543609
"computer language"	0.0543521
"double entendre"	0.0528773
"rule of thumb"	0.0513231
jingle	0.0499819
stat	0.049443
cantata	0.0479733
teaser	0.0474994
"dance band"	0.0474992
peptide	0.0472729
hyperbole	0.0470232
Gambit	0.0467953
put-down	0.0462815
shenanigan	0.0461289
brawler	0.0457186
"shell game"	0.045002
"software package"	0.0446172
"piece of cake"	0.0446165
proposition	0.0446006
ploy	0.0445661
warhorse	0.0445016
"incentive program"	0.0443456
beep	0.0442078
"morality play"	0.0440131
moniker	0.0439613
misjudgments	0.043676
"Cliffs Notes"	0.0433536
temptress	0.0433503
oxymoron	0.043347
cliffhanger	0.0431501
melody	0.0429846
double-entendres	0.0427267
adjective	0.0426969
"good story"	0.0425887
copout	0.0424953
telemarketer	0.0423226
retort	0.0422711
"takeover target"	0.0418804
trickery	0.0418473
"parlor game"	0.0417748
"jelly bean"	0.0416859
"sight gag"	0.0416029
blurb	0.0415034
skit	0.0412399
nonentity	0.0410868
"standing room"	0.0410862
gag	0.0410389
zinger	0.0409209
countermeasure	0.0407615
ballad	0.0405088
"vacation spot"	0.0403097
dude	0.0402689
"stage name"	0.0400981
keyword	0.0400564
intonation	0.04003
))
(comeback (desc 67857.9) (sims
turnaround	0.129377
victory	0.12506
recovery	0.114321
win	0.11324
triumph	0.0962701
upset	0.096041
Rally	0.0944993
game	0.0936943
career	0.0919078
"winning streak"	0.0895919
success	0.0893487
return	0.0862848
"coming back"	0.0860816
rebound	0.0852225
finish	0.0839585
streak	0.0838096
revival	0.0827034
debut	0.0818694
resurgence	0.081044
defeat	0.0810366
performance	0.0809411
loss	0.0807682
feat	0.0805693
touchdown	0.0787663
"grand slam"	0.0785373
sweep	0.0785324
shutout	0.0782584
breakthrough	0.0771818
surge	0.0771736
renaissance	0.0759
"home run"	0.0755379
playoff	0.0750355
rout	0.0747147
chance	0.0743781
at-bat	0.0731286
transformation	0.0730789
inning	0.0730273
miracle	0.0729842
"playoff game"	0.0722286
heroics	0.0721582
spurt	0.0720535
season	0.0720486
match	0.0713912
outing	0.0709811
"losing streak"	0.070944
accomplishment	0.0708701
rebirth	0.0703581
championship	0.0700228
title	0.0691124
postseason	0.0675694
offense	0.0671231
opener	0.0670183
appearance	0.0665193
round	0.0663797
escape	0.0662808
shot	0.0662552
matchup	0.0656189
outburst	0.0656186
goal	0.0655722
reversal	0.0655365
series	0.065404
record	0.0653971
Defense	0.0653557
showing	0.0653102
putt	0.0648856
birdie	0.0647846
boom	0.0647348
"field goal"	0.0646651
"Game @"	0.0644048
resurrection	0.064203
blowout	0.063927
team	0.0637931
turnabout	0.0636151
fight	0.0633053
showdown	0.0632103
homestand	0.063104
achievement	0.0630632
duel	0.0625816
collapse	0.0625407
transition	0.0619359
"home game"	0.0618807
final	0.0614886
slump	0.0613789
"Super Bowl"	0.0613297
seventh	0.0612544
berth	0.0610813
no-hitter	0.0610272
tournament	0.0604742
battle	0.0604731
improvement	0.0604295
pitching	0.0598792
scare	0.0596439
lineup	0.0595424
fifth	0.05941
interception	0.0593658
momentum	0.0592524
"World Series"	0.0592513
rivalry	0.0590724
sixth	0.0590455
attempt	0.0590202
eighth	0.0589908
progress	0.0589551
growth	0.0588245
reunion	0.0587756
takeover	0.0584163
quest	0.0583926
ninth	0.05813
advantage	0.0581264
setback	0.0580954
pennant	0.0580457
makeover	0.0579765
breakout	0.0579656
finale	0.0578898
expansion	0.057774
bout	0.0576863
gain	0.0574895
race	0.0573991
marathon	0.0573714
homer	0.0570549
strikeout	0.0567329
challenge	0.0566689
deficit	0.0566532
decline	0.056488
starter	0.0564731
rotation	0.0564586
advance	0.0563697
"World Cup"	0.0562858
era	0.0560242
"power play"	0.0559332
event	0.055876
homecoming	0.0558605
medal	0.0558298
letdown	0.0556636
effort	0.0555466
struggle	0.0555389
bid	0.0555177
upturn	0.0555035
moment	0.0554624
contest	0.0551282
rescue	0.0550913
trip	0.0550221
ace	0.0548834
revolution	0.0548465
player	0.0548254
disaster	0.054769
surprise	0.0546833
deal	0.05467
meltdown	0.0546465
"exhibition game"	0.0546279
rehabilitation	0.0545554
leap	0.0545326
drama	0.054092
"first appearance"	0.0539838
"free throw"	0.0538237
Three	0.0538057
winning	0.0537993
sellout	0.0537953
"perfect game"	0.0537332
selloff	0.0536719
spree	0.0536653
competition	0.0536279
ending	0.0534474
fourth	0.0533894
redemption	0.053369
consolidation	0.0532493
knockout	0.0532435
survival	0.0531945
journey	0.0531605
milestone	0.0530831
"running game"	0.05295
campaign	0.0529383
third	0.052861
ascent	0.0527128
"Stanley Cup"	0.0524553
blitz	0.0524472
semifinal	0.0524445
demise	0.0524347
injury	0.0523837
retirement	0.0523709
coup	0.0523452
nomination	0.0522804
burst	0.0522396
straight	0.0521939
dominance	0.0521233
roster	0.0521213
celebration	0.0519227
departure	0.0517209
emergence	0.0517035
merger	0.0516965
counterattack	0.0516885
bullpen	0.0515144
history	0.051454
overtime	0.0513084
tragedy	0.0512377
hope	0.0511883
walkout	0.0510989
RBI	0.0510557
single	0.0510059
adventure	0.0509792
shift	0.0507572
))
(comebacker (desc 2828.69) (sims
one-hopper	0.215662
grounder	0.177372
"ground ball"	0.174062
Tapper	0.149413
popup	0.134676
"hook shot"	0.10543
flyout	0.103604
bouncer	0.102731
bunt	0.0982079
"line drive"	0.0961556
dribbler	0.0899952
chopper	0.0885983
"fly ball"	0.088578
groundout	0.0873362
"pop fly"	0.0834577
bloop	0.0782315
liner	0.07722
"sacrifice fly"	0.0762077
"chip shot"	0.0715309
"another @-pointer"	0.070623
pickoff	0.0681548
"base hit"	0.0658781
blooper	0.0627672
forceout	0.0627144
"foul ball"	0.0608595
"seventh homer"	0.0595836
"bank shot"	0.0584603
"David Ortiz"	0.0555509
two-out	0.0554427
"approach shot"	0.0549764
"two @-pointers"	0.054616
three-pointer	0.0545162
"third homer"	0.0535545
Vidro	0.0530974
"three @-pointers"	0.0530023
"Herbert Perry"	0.0519434
groundouts	0.0516728
handoff	0.0514908
hopper	0.0514097
"Corey Koskie"	0.0513066
Fryman	0.0511372
floater	0.0508258
"double play"	0.0506076
pop-up	0.0489955
Astacio	0.0489628
"four @-pointers"	0.0484649
"Deivi Cruz"	0.0478956
"Geoff Jenkins"	0.0478714
unselfishness	0.0474954
"sixth homer"	0.047426
Lieberthal	0.0471249
Brogna	0.0469632
"wild pitch"	0.0468225
"monkey wrench"	0.0466738
Burnitz	0.0458434
"triple play"	0.0456287
"foul shot"	0.0455651
"punching bag"	0.0452512
buzzer-beater	0.0449134
"Wilton Veras"	0.0444652
Tatis	0.0440071
"solo homer"	0.0439148
Randa	0.043297
Loretta	0.0432768
tap-in	0.0430794
"breaking ball"	0.042952
stingray	0.0427573
basepaths	0.042756
"white elephant"	0.042635
layups	0.0422872
"first and third"	0.0417719
tarpon	0.0417512
wrister	0.0414632
"off-speed pitch"	0.0414358
roller	0.0413976
"jump shot"	0.0409211
"Eric Owens"	0.0403323
putback	0.0402499
goalpost	0.0401277
))
(comedian (desc 28256.4) (sims
comic	0.144064
entertainer	0.13553
musician	0.120269
actor	0.115334
actress	0.111318
singer	0.111257
performer	0.106012
Playwright	0.105838
artist	0.103018
writer	0.102409
dancer	0.102221
poet	0.102015
filmmaker	0.100162
songwriter	0.0976478
"movie star"	0.0971613
novelist	0.0970732
pianist	0.0944911
acrobat	0.0921433
filmmakers	0.0916174
composer	0.0915328
choreographer	0.0912319
painter	0.0900026
clown	0.0892999
puppeteer	0.0889057
"jazz musician"	0.0875516
photographer	0.0868795
cartoonist	0.0868468
screenwriter	0.0860761
dramatist	0.085411
humorist	0.0833397
commentator	0.0821751
rapper	0.0817166
"film star"	0.0817051
juggler	0.0801938
magician	0.0782051
vocalist	0.0776444
deejays	0.0774926
star	0.0771766
author	0.0771343
"fashion designer"	0.076358
designer	0.0754364
illustrator	0.0752653
"rock star"	0.0752419
preacher	0.07494
chef	0.0743634
"folk singer"	0.0743405
storyteller	0.0742767
alum	0.074016
journalist	0.0737638
"disc jockey"	0.073293
satirist	0.0722461
violinist	0.0714871
essayist	0.0709891
sportswriter	0.0700414
rappers	0.0700018
golfer	0.0698838
architect	0.069791
stuntman	0.0696548
pundit	0.0694871
athlete	0.069091
lyricist	0.0690668
politician	0.0688062
conductor	0.0684579
DJ	0.0684134
"baseball player"	0.0682777
sculptor	0.0681952
ballplayer	0.0673027
"leading lady"	0.0671395
"Andy Kaufman"	0.0661589
guitarist	0.0658135
ballerina	0.0657549
thinker	0.065714
wrestler	0.0655051
stylist	0.0653132
newscaster	0.0652535
hostess	0.0649115
"character actor"	0.0645637
"young actress"	0.0642733
"Jay Leno"	0.0642022
"TV star"	0.063384
broadcaster	0.0632886
physicist	0.0631836
celebrity	0.0631605
arranger	0.0627097
"fashion model"	0.0625099
historian	0.0622136
businessman	0.0620508
entrepreneur	0.0620447
philosopher	0.0617038
comedy	0.0616954
"rock band"	0.061586
cheerleader	0.0614221
newspaperman	0.0613417
"disk jockey"	0.0610301
educator	0.0607913
bartender	0.0607863
feminist	0.0606533
drummer	0.0605224
weatherman	0.060326
evangelist	0.0602441
band	0.060102
character	0.0599788
troupe	0.0599113
guy	0.0598479
restaurateur	0.059656
"public speaker"	0.0594426
sportscaster	0.0593851
producer	0.0593725
personality	0.0593107
cinematographer	0.0591891
Cop	0.0591478
"hockey player"	0.0590549
instrumentalist	0.0589485
detective	0.0588947
"guitar player"	0.058839
"ballet dancer"	0.058445
"football player"	0.058135
"young man"	0.0580596
"talk show"	0.0580014
teacher	0.0576645
skater	0.0575789
scholar	0.0574268
Programmer	0.0574161
announcer	0.0571705
hero	0.0570504
calligrapher	0.0569886
activist	0.0568937
mime	0.0567572
"David Letterman"	0.0567156
interviewer	0.0567025
columnist	0.0565456
skit	0.0563029
decorator	0.0562032
intellectual	0.0561003
philanthropist	0.0558988
gymnast	0.0558309
priest	0.0556986
stripper	0.0556488
socialite	0.0553183
percussionist	0.0551956
linguist	0.0551906
"venture capitalist"	0.0550933
"stage manager"	0.0549617
"film producer"	0.0548492
"investment banker"	0.0544981
"basketball player"	0.0544555
boxer	0.0544224
gentleman	0.0543518
"private investigator"	0.0543278
winemaker	0.0542726
innovator	0.0542381
soloist	0.0540609
"television star"	0.0539791
regular	0.0535602
banker	0.053517
sidekick	0.0535096
psychologist	0.0534244
talker	0.0532669
genius	0.0532079
scientist	0.0531999
critic	0.0531174
stockbroker	0.0530487
professional	0.0528817
schoolteacher	0.0528651
cellist	0.0528354
teen-ager	0.0527567
swimmer	0.0527355
waitress	0.0525261
"social worker"	0.0523354
heroine	0.0523032
collector	0.0522763
rocker	0.0522188
"sports fan"	0.0519594
narrator	0.0518642
"newspaper editor"	0.0516987
reviewer	0.0516063
"civil rights leader"	0.0515939
handyman	0.0515822
"black person"	0.0514999
"art director"	0.0514621
starlet	0.0514321
theologian	0.0514041
naturalist	0.0513659
Pioneer	0.051332
statesman	0.0512957
mathematician	0.0512317
gardener	0.0512054
supermodel	0.0511501
gadfly	0.0510766
presenter	0.0510065
anchor	0.0509302
"art historian"	0.0507297
editor	0.0507251
"volleyball player"	0.0505246
orator	0.0505148
publicist	0.050487
organist	0.0504642
academic	0.0504504
prostitute	0.0504415
"role player"	0.0503763
))
(comedown (desc 1160.55) (sims
crapshoot	0.15402
turnoff	0.107086
copout	0.104708
no-brainer	0.101019
"change of direction"	0.0993859
nonevent	0.0936356
"morale booster"	0.0929144
"pain in the neck"	0.088119
"turn of events"	0.0870662
"guessing game"	0.0855438
moneymaker	0.0836743
"standard operating procedure"	0.082975
turnabout	0.0796839
send-off	0.0772006
letdown	0.0730677
meatpackers	0.0727554
"tall order"	0.0714728
"fresh start"	0.0692548
heartbreaker	0.0682694
"hole in the ground"	0.0662991
no-no	0.0662714
"death warrant"	0.0658782
"waste of money"	0.0658234
mouthful	0.0658104
"treading water"	0.0651838
misperception	0.0648874
"good word"	0.063727
"eye opener"	0.0625591
"shell game"	0.0624323
misnomer	0.0618417
"fund-raising drive"	0.0612414
"second tour"	0.0606639
crock	0.0604284
"white elephant"	0.0596914
"market correction"	0.0595759
grabber	0.0595351
"speed bump"	0.0593669
labor-intensive	0.0589765
"God's Will"	0.0582331
"waiting game"	0.0581852
"drawing card"	0.0576951
"ball of fire"	0.0575754
typo	0.0571577
postscript	0.0569826
"religious holiday"	0.0568839
freebie	0.0567517
"state of affairs"	0.0567056
Downer	0.0563
"bank failure"	0.0560435
"rallying cry"	0.0560151
lovefest	0.0558564
"hard sell"	0.055815
bruiser	0.0550807
misreading	0.0547882
"monkey wrench"	0.0543911
stat	0.0539825
"black eye"	0.0539244
"disability payment"	0.0534551
"day of reckoning"	0.0534256
non-issue	0.0532775
Must-See	0.0531942
nonstarter	0.0525787
shocker	0.0522801
"mushroom cloud"	0.0522532
"sour grapes"	0.0518669
cinch	0.0512379
crowd-pleaser	0.0509533
"popularity contest"	0.0508057
dropoff	0.0499406
"good story"	0.0496276
"clean slate"	0.0495717
pleaser	0.0494958
"smoke screen"	0.0494206
"piece of work"	0.0493777
murder-suicide	0.0493644
"sounding board"	0.0489964
"cash cow"	0.0489915
"high-water mark"	0.0487114
"chess game"	0.0485855
"social event"	0.0484774
win-win	0.0484242
"Ask Jeeves"	0.0483531
"solar flare"	0.048262
"numbers game"	0.0481208
Lightyear	0.0480283
perversion	0.0480166
drop-off	0.0476116
smooch	0.0475035
miscalculation	0.0472915
"death knell"	0.0470133
downdraft	0.0468308
voiceover	0.0467421
spokespeople	0.0467081
"pay cut"	0.0466612
canard	0.0466161
conundrum	0.046512
"transport ship"	0.0463763
clunker	0.0461944
stinker	0.0461042
homebuilder	0.0457357
"margin call"	0.0457173
metamorphosis	0.0456195
"piece of music"	0.0456165
"victory celebration"	0.0455614
"determining factor"	0.045464
"nest egg"	0.0453996
babysitter	0.0452439
"high time"	0.0450066
godsend	0.044936
"birthday cake"	0.0449003
"case in point"	0.0448236
"competitive advantage"	0.0448235
"place setting"	0.0446609
"birthday present"	0.0446188
"cash bonus"	0.0445992
nirvana	0.0445079
u-turn	0.0444085
disservice	0.044334
"little leaguer"	0.0441503
upsets	0.0440359
B.S	0.0437802
savings	0.0437682
showpiece	0.0436471
outperformance	0.0436047
"piece of cake"	0.0435428
easier	0.0434205
"difference of opinion"	0.0433699
"measuring stick"	0.0433534
there.	0.0431571
"policy change"	0.0430899
"garden party"	0.042938
catharsis	0.0427018
shoal	0.0426384
"day game"	0.0425899
conceit	0.0424499
"quid pro quo"	0.042358
heartening	0.0423299
"order of business"	0.0423271
make-over	0.0422352
"frame of mind"	0.042192
"safety valve"	0.042107
spotter	0.0419235
"test case"	0.0418626
"time clock"	0.0417429
"swan song"	0.041529
sendoff	0.0413924
grist	0.0413631
steppingstone	0.0413428
about-face	0.0413203
eulogy	0.04131
"wasting away"	0.0412723
"minority shareholder"	0.0412285
"neck brace"	0.0411272
denouement	0.0410757
overstatement	0.041014
capitulation	0.0409445
retelling	0.0409233
"takeover battle"	0.0408822
Momma	0.04078
epitaph	0.0406255
contigent	0.0404291
ballgame	0.0403796
counterbid	0.0403498
cakewalk	0.0402249
coda	0.0401596
whodunit	0.0400856
"pipe dream"	0.0400451
))
(comedy (desc 119430) (sims
drama	0.204814
movie	0.198858
sitcom	0.196648
film	0.187837
satire	0.170288
thriller	0.145138
tale	0.140557
musical	0.140049
farce	0.139648
humor	0.132819
novel	0.127463
show	0.125175
documentary	0.122305
series	0.111539
"soap opera"	0.111093
melodrama	0.110804
story	0.108889
fiction	0.108282
flick	0.105174
"TV show"	0.104613
"television show"	0.104261
cartoon	0.102422
fantasy	0.101593
opera	0.1015
"love story"	0.1013
Romance	0.100924
play	0.100773
music	0.0998724
genre	0.0978098
Entertainment	0.0978052
character	0.09737
comedy-drama	0.0964053
script	0.0953667
epic	0.0952613
fable	0.0948609
Song	0.0948368
spoof	0.0947666
joke	0.0943396
"feature film"	0.0931221
"game show"	0.0925521
adventure	0.0913362
adaptation	0.0899391
episode	0.0890346
classic	0.0884707
sequel	0.0884365
Screenplay	0.0883726
style	0.0883256
"TV movie"	0.087859
dance	0.0875583
theater	0.08668
miniseries	0.0862101
poetry	0.0857706
art	0.0842615
blockbuster	0.0834597
remake	0.0830947
special	0.0824514
ballet	0.0819606
book	0.0818284
scene	0.0816529
video	0.0814081
parody	0.0813491
programming	0.080771
commercial	0.0804519
wit	0.0802697
mystery	0.0795414
animation	0.0794475
comic	0.0789182
revival	0.0785386
version	0.0774933
western	0.0768151
fun	0.0756306
sport	0.075392
feature	0.0749959
writing	0.0747944
television	0.0745143
album	0.074353
tragedy	0.0740112
actor	0.0739286
fashion	0.0738493
Shakespeare	0.0736054
politics	0.072644
ballad	0.072423
Revue	0.0715265
lyric	0.0714058
"talk show"	0.0713107
"science fiction"	0.0712809
performance	0.071051
commentary	0.0709494
biography	0.0709182
portrait	0.070305
picture	0.0701815
memoir	0.070151
"American Pie"	0.0698959
"Saving Private Ryan"	0.0697426
sex	0.0693007
spectacle	0.0691159
actress	0.0690776
look	0.0688612
stuff	0.0686909
"motion picture"	0.0684675
Jazz	0.0684171
narrative	0.0682734
noir	0.0679638
literature	0.0675774
"Ally McBeal"	0.0675439
celebrity	0.0674906
life	0.0673676
TV	0.067078
theme	0.0662119
sendup	0.0661097
personality	0.0660115
"American Beauty"	0.0657155
love	0.0656216
"sense of humor"	0.0655065
horror	0.0652627
romp	0.0651178
skit	0.0651153
Titanic	0.0647603
sensibility	0.0644903
gag	0.064222
irony	0.0641632
culture	0.0641335
piece	0.0638902
"South Park"	0.0638214
sequence	0.0637704
plot	0.0635758
Hollywood	0.0634399
whimsy	0.0633595
Saga	0.0632294
suspense	0.0628313
thing	0.0627329
pop	0.062707
serial	0.0624184
artist	0.0622804
role	0.0619911
production	0.061975
sketch	0.0619738
stunt	0.0618538
comedian	0.0616954
Journalism	0.0614232
"variety show"	0.0613866
kind	0.061365
cinema	0.0611315
monologue	0.0609388
AD	0.0606075
hero	0.0605295
"Eyes Wide Shut"	0.060514
masterpiece	0.0604591
poem	0.0604525
moment	0.0603041
"Star Wars"	0.0602732
"Sports Night"	0.0602298
realism	0.0600953
heroine	0.0599827
cabaret	0.0599813
concert	0.0597812
fare	0.0596053
beauty	0.0595939
trilogy	0.059571
history	0.059548
dream	0.0595474
extravaganza	0.0595025
debut	0.0594942
image	0.0594691
design	0.0593909
event	0.0593402
idea	0.0592971
anecdote	0.0591618
essay	0.0591459
charm	0.0591289
"Star Trek"	0.0590965
vision	0.0588042
reality	0.0587536
myth	0.0585652
"short story"	0.0585619
Felicity	0.0585098
painting	0.0583252
kid	0.0580758
guy	0.0578662
meditation	0.0577663
Pleasantville	0.0575796
original	0.0575274
tune	0.0572539
news	0.0571568
soundtrack	0.0571546
"rock 'n' roll"	0.0569212
choreography	0.0567835
premiere	0.0566278
language	0.056624
football	0.0565115
"television program"	0.0562776
costume	0.0562602
performer	0.056247
dialogue	0.0561822
"country music"	0.055907
success	0.0556734
"news program"	0.0556519
subplot	0.0555891
sense	0.0554603
ensemble	0.0552677
))
("Comedy Central" (desc 7897.28) (sims
Nickelodeon	0.202386
VH@	0.181542
Showtime	0.159931
TNN	0.154675
VH-@	0.152341
MSNBC	0.146929
TNT	0.14491
CNBC	0.143829
MTV	0.132454
HBO	0.13172
ESPN	0.129496
C-Span	0.128921
"Court TV"	0.125183
"Animal Planet"	0.12323
CNN	0.120193
"USA Network"	0.119105
NBC	0.118516
CBs	0.11781
ABC	0.114963
UPN	0.11191
PBS	0.111779
WB	0.110434
Univision	0.105632
"Food Network"	0.099791
ESPN@	0.0968337
"TV Land"	0.0961546
"History Channel"	0.0959156
"Entertainment Tonight"	0.0958775
"ABC Sports"	0.0920016
Fox	0.0902785
"Turner Sports"	0.0902706
ABC-TV	0.0890558
"Turner Classic Movies"	0.0890417
"Cartoon Network"	0.0888887
"Golf Channel"	0.0888837
"Black Entertainment Television"	0.0880343
ZDTV	0.0877085
"cable network"	0.0868903
"Fox News Channel"	0.0858822
"National Public Radio"	0.0851865
"Good Morning America"	0.0835697
"Fox Sports Net"	0.0832453
QVC	0.0811633
"Nashville Network"	0.0808994
"Politically Incorrect"	0.0796432
Tb	0.0787977
"Disney Channel"	0.0780798
e	0.0758236
bravo	0.0752697
"Dateline NBC"	0.0739444
"Fox Sports"	0.0736591
FX	0.0734418
BBC	0.0728744
Simpsons	0.0719049
"Turner Broadcasting"	0.0712692
"ABC News"	0.0697621
"Discovery Channel"	0.0695354
ABS-CBN	0.0693646
"Channel @"	0.0693251
"cable television"	0.0691185
CBS-TV	0.0685029
"South Park"	0.0665385
paramount	0.0664722
PAX	0.0662239
"Pax TV"	0.0660464
NTV	0.0659575
"Paramount Pictures"	0.0659044
"Tonight Show"	0.0653943
"Fox News"	0.0647861
"Fox TV"	0.0643606
"TV station"	0.0641239
"Late Night"	0.06408
CBC	0.063957
NBC-TV	0.0623817
"Warner Brothers"	0.0611651
CNNfn	0.061117
IDG	0.0609922
"Daily Show"	0.0605001
"Wine Institute"	0.0604236
"Night Live"	0.0602534
"British Broadcasting Corp."	0.0597703
Wayans	0.0589047
"U.S. Soccer Federation"	0.0582896
Disney	0.0579288
"Kaiser Family Foundation"	0.0577546
Instinet	0.0575392
ORT	0.0573547
"Cox Communications"	0.0566904
TVKO	0.0565352
"television network"	0.056441
"TV network"	0.0561132
"Warner Bros"	0.0558721
"Weather Channel"	0.0551239
"NBC News"	0.0542542
"Today Show"	0.0542283
Nightline	0.0537515
CNET	0.0534039
"CBS Sports"	0.0534033
"Law &AMP; Order"	0.0523001
"Warner Bros."	0.0519593
Genzyme	0.051861
"news show"	0.0518237
"television station"	0.0518137
"news program"	0.0516118
"Jerry Springer Show"	0.0514455
"Time Warner"	0.051315
NPR	0.0511663
WGN	0.0511467
"Love Lucy"	0.0508974
NTRA	0.0507233
"National Geographic"	0.0506115
"Night Football"	0.0503389
USA	0.0498728
"road runner"	0.0497522
Televisa	0.049563
"Sesame Street"	0.0495272
"Universal Pictures"	0.0490775
MSG	0.0490116
"Conde Nast"	0.0485926
Marketspan	0.0484682
"Voice of America"	0.0484444
"World Wrestling Federation"	0.0483864
"USA Networks"	0.048131
"Australian Olympic Committee"	0.0476538
iVillage	0.0473904
Nitro	0.047073
Hasbro	0.0470167
Cablevision	0.0468161
"News Corp."	0.0465303
"talk show"	0.0465084
WMUR-TV	0.0463679
"Hearst Corp."	0.0461695
"TV show"	0.0458645
"Late Show"	0.0457603
CNN/SI	0.045694
"China Central Television"	0.0456013
CRI	0.0455974
IRC	0.0455839
Livent	0.0455755
"prime time"	0.0454996
"Lotus Development Corp."	0.0453583
Dateline	0.0451178
"Ally McBeal"	0.0450529
MGM	0.0450519
"Time Warner Cable"	0.0449985
"National Thoroughbred Racing Association"	0.0446544
M@	0.0446235
"William Morris"	0.0444139
"Lincoln Center Theater"	0.0443904
Baywatch	0.0442592
"Early Show"	0.0441497
Buffy	0.0440525
"Home Shopping Network"	0.0440406
Scientific-Atlanta	0.0438175
"Time Inc."	0.0438087
"television show"	0.0435019
"Walt Disney Co."	0.0434178
BMG	0.0432427
"Fox Network"	0.0431966
"variety show"	0.0431957
IAI	0.04318
CCTV	0.0431239
"Drew Carey Show"	0.0430693
DoubleClick	0.0430536
"Universal Studios"	0.0429765
pay-per-view	0.0428042
sitcom	0.0427577
Salon.com	0.0427176
newsmagazine	0.0426926
Frasier	0.0425922
"TV program"	0.0423891
"Ford Foundation"	0.0420842
"International Ski Federation"	0.0420315
Pepsi	0.0419732
"Levi Strauss &AMP; Co."	0.0418877
"Pepsi Cola"	0.0418485
EA	0.0418423
AOL	0.0417303
"HBO &AMP; Co."	0.0416138
"Coca-Cola Co."	0.0412043
"Channel @@"	0.0410968
"Radio Liberty"	0.0410745
"American Psychological Association"	0.0408506
"National Association of Broadcasters"	0.0408324
AutoNation	0.0407089
Post-Intelligencer	0.040626
ITT	0.0405374
"television program"	0.0405123
"Motion Picture Association of America"	0.0405039
"Star Trek"	0.0404715
iTV	0.0404515
"Apple Computer"	0.0402965
BofA	0.0402162
"TV guide"	0.0401388
oxygen	0.0401074
"Levi Strauss"	0.0400677
"Howard Stern"	0.0400488
CNPC	0.0400254
))
(comedy-drama (desc 4511.44) (sims
Dramedy	0.131324
"Family Guy"	0.0753564
tragicomedy	0.0752328
sitcom	0.0651683
farce	0.062801
zinger	0.0545432
fable	0.0541318
spoof	0.053262
in-jokes	0.0528481
showplace	0.0526824
"situation comedy"	0.0517358
skewering	0.051642
subplot	0.0508589
"musical comedy"	0.0500069
anecdote	0.0487418
"inferiority complex"	0.0477997
"love story"	0.0465268
livery	0.0461258
Docudrama	0.0454037
"Runaway Bride"	0.0453829
"sense of humor"	0.0445833
melodrama	0.0441673
misperception	0.0438494
reworking	0.041574
"piece of work"	0.0415309
haiku	0.0411093
"game show"	0.0407554
))
(Comelec (desc 991.133) (sims
"Commission on Elections"	0.243298
INEC	0.206061
"Truth Commission"	0.127749
CIRC	0.125225
"Electoral Commission"	0.120033
UNAMET	0.113429
CSE	0.111919
"U.S. Immigration and Naturalization Service"	0.111319
DMV	0.109423
NLRB	0.108915
KPA	0.107355
CSA	0.106748
"Foreign Relations Committee"	0.104861
BOI	0.104783
FEMA	0.102797
"Industry Ministry"	0.102682
CAAC	0.100866
PSC	0.100315
BLM	0.0995099
CAA	0.0976462
DEP	0.0961598
"Labor Ministry"	0.095635
CNPC	0.0955752
FCC	0.0951774
BIA	0.0950905
Nepa	0.09503
ADL	0.0950123
SDPC	0.0949216
"Bureau of Indian Affairs"	0.0944398
"House Budget Committee"	0.0940092
"Independent Electoral Commission"	0.0934323
"Health Care Financing Administration"	0.0925178
"Agriculture Ministry"	0.0921303
ITC	0.0910836
"Central Election Commission"	0.0909231
"Commerce Committee"	0.0908028
CNTA	0.0904972
NHTSA	0.0899775
TRC	0.088561
"Federal Emergency Management Agency"	0.0879818
ACB	0.0879532
ITU	0.0878309
"Department of Motor Vehicles"	0.0877973
CSRC	0.086794
TDB	0.0867624
EEOC	0.0866287
PNP	0.0862169
NRM	0.0861814
"Senate Commerce Committee"	0.0861557
TDC	0.0857881
OSHA	0.0856677
HKFA	0.085286
"Nevada Athletic Commission"	0.0851134
"Department of Corrections"	0.0850904
"House International Relations Committee"	0.0849036
PUC	0.0841832
UNTAET	0.0841268
IEC	0.0835998
OCA	0.0831313
"Education Ministry"	0.0829843
"Senate Governmental Affairs Committee"	0.0828784
"Culture Ministry"	0.0828365
Nickerson	0.0827603
"House Commerce Committee"	0.082329
CSC	0.0821501
USAID	0.0820076
DMA	0.0816369
"Rules Committee"	0.0816149
"Park Service"	0.081479
"National Economic Council"	0.0812582
"English department"	0.0800195
"U.S. Customs Service"	0.0800186
"Home Ministry"	0.0799778
DSE	0.0799694
"Football Association"	0.0798389
"Russian Defense Ministry"	0.0796159
CPSC	0.0792959
EBRD	0.0788312
SEPA	0.0786229
"Fish and Wildlife Service"	0.0785575
"Department of Trade and Industry"	0.0781462
CCF	0.0777119
"Commerce Ministry"	0.0776135
"Sdn Bhd"	0.0771598
"Office of Management and Budget"	0.0770667
"secret plan"	0.0770131
CEC	0.0768718
GSS	0.0763834
MII	0.0763238
Starwood	0.0763198
"Transportation Department"	0.076148
"election commission"	0.0760609
"EU Commission"	0.0759813
RNC	0.0759526
"city planning"	0.0757666
"Israeli Foreign Ministry"	0.0754567
"Jehovah's Witnesses"	0.0751421
PBSI	0.0749748
"Census Bureau"	0.0746205
KPU	0.0741833
"Senate Armed Services Committee"	0.0740944
Massport	0.0738317
"Department of Finance"	0.0737252
UNIDO	0.0735251
SFA	0.073503
"Russian Space Agency"	0.0734741
CMAG	0.0733508
PSE	0.0730131
"planning commission"	0.07276
Lakas-NUCD	0.0726744
ILO	0.0723494
"Federal Communications Commission"	0.0723012
"Federal Security Service"	0.0722749
"finance committee"	0.0722217
"U.S. Environmental Protection Agency"	0.0720736
"Public Service Commission"	0.0720231
"U.S. Administration"	0.0719288
"Nuclear Regulatory Commission"	0.0718914
SSB	0.0717603
"Senate Budget Committee"	0.0716874
"Department of Health and Human Services"	0.0716527
"Department of Environmental Protection"	0.0716241
"Port Authority"	0.0714946
KONI	0.0714106
Lamberth	0.0713345
PBA	0.0712742
"Banking Committee"	0.0712633
NSC	0.0712394
CBO	0.0710851
CPA	0.0709988
FSB	0.070916
IEA	0.0707472
CBK	0.0701858
NRC	0.0700818
"Senate Judiciary Committee"	0.0697433
"Lost World"	0.0695989
EC	0.0692368
"U.S. Army Corps of Engineers"	0.0690378
"U.S. Soccer Federation"	0.0687883
NIH	0.0687049
"Civil Aviation Authority"	0.0683978
Tat	0.0683893
SFC	0.0682762
"Senate Banking Committee"	0.0681998
BOC	0.0681368
NTSB	0.0680216
"British government"	0.067892
"Health Department"	0.0678239
"Russian Interior Ministry"	0.0678138
NLD	0.0677366
"civil defense"	0.0677307
"National Convention Executive Council"	0.0675021
"Philippine National Police"	0.0674957
GPU	0.0674931
"Senate Foreign Relations Committee"	0.0673089
"British Foreign Office"	0.067297
DS	0.0671301
CNOOC	0.0670519
"Bank Indonesia"	0.0670122
"Transport Ministry"	0.0669694
"Royal Palace"	0.0668979
"Department of Environment"	0.0668057
"Orlando Mercado"	0.0668006
"Environmental Protection Agency"	0.0664625
BSF	0.0663096
"Small Business Administration"	0.0662514
Westendorp	0.0662159
SJC	0.0662142
ATC	0.0662118
HCFA	0.0660011
MFA	0.065933
SDS	0.0658892
MCC	0.0658822
"Defense Agency"	0.065882
TAZARA	0.0658206
CBI	0.0658067
"Senate Finance Committee"	0.0652169
"Pew Research Center"	0.0651951
"US Supreme Court"	0.0651443
"Department of Transportation"	0.0651402
"Downing Street"	0.0650513
"International Civil Aviation Organization"	0.0648396
ECA	0.0647397
"Turkish Cypriots"	0.064535
"World Tourism Organization"	0.064434
ARATS	0.0643935
"Independent National Electoral Commission"	0.0643576
"Interior Department"	0.0641955
ITF	0.0641532
FRELIMO	0.0640787
PLO	0.0640768
"European Court of Justice"	0.0639458
"Texas Department of Public Safety"	0.0637995
"Immigration and Naturalization Service"	0.0637577
IAI	0.063733
"American Bar Association"	0.063719
UNIP	0.0636839
"Monroe County"	0.0635943
"National Highway Traffic Safety Administration"	0.063504
"customs service"	0.0634454
))
(comer (desc 4461.92) (sims
"faculty member"	0.0613042
entrant	0.0590215
"black person"	0.0563738
enlistee	0.0549708
vote-getters	0.0547924
"foster child"	0.0543401
"Special Economic Zones"	0.0543362
ex-convicts	0.054024
newcomer	0.0537195
lifter	0.0525833
lawbreaker	0.0514072
Italia	0.0512482
spacewalkers	0.0510724
deportee	0.0501661
panelist	0.0501261
"medical specialist"	0.0487323
Dutchmen	0.0484171
marcher	0.0482972
returnees	0.0482249
registrant	0.0476297
"big leaguer"	0.0473856
B-@s	0.0472702
Ukrainians	0.0470071
sherpas	0.0468755
"No. @s"	0.0461113
conscript	0.0459201
homebuyers	0.0459106
"council member"	0.0455841
churchgoer	0.0454763
Lazarenko	0.0453993
great-grandchildren	0.0452364
"major leaguer"	0.0450922
"American plan"	0.0450906
SEZs	0.0450859
beautician	0.0450764
Trudeau	0.0450105
first-rounder	0.0449186
"altar boy"	0.0449136
signatory	0.0449105
kwanza	0.0448261
"Medicare HMOs"	0.0447817
harder	0.0445899
cyclist	0.0445567
Thibault	0.0443411
orphan	0.044296
skater	0.044198
"base runner"	0.0440807
Chaudhry	0.0438899
quarterfinalists	0.0437903
rushers	0.0437517
"compromise plan"	0.0437099
statesmen	0.0436823
bidder	0.0436101
pup	0.0433195
mainlanders	0.0432886
closers	0.043152
telecommuters	0.0430822
migrant	0.0430373
capo	0.0429549
Sanchez-Vicario	0.0428699
foal	0.0428424
"heroin addict"	0.0428398
deserter	0.0427852
aspirant	0.0427438
gymnast	0.0426558
occupant	0.0426263
Zambian	0.0425078
Nepalese	0.0424878
"Sri Lankans"	0.0424713
"Field Poll"	0.0424529
"three match points"	0.0423884
"service break"	0.0423877
collegian	0.0422936
metropolises	0.0422108
"Texas Democrats"	0.0421969
polluters	0.0421451
pallbearer	0.0421066
"agenda item"	0.0420597
standouts	0.0419032
seminarian	0.0417871
tacklers	0.0416245
"space walk"	0.0415665
signees	0.0415218
franchisees	0.0414414
spacewalks	0.0413618
pupil	0.0413245
probationer	0.0412652
"Fighting Irish"	0.0411192
Bulatovic	0.0410906
freshmen	0.0410807
"All-Star Games"	0.0408038
congressmen	0.0407032
"Australian Mark Philippoussis"	0.0406402
timeouts	0.0406201
"hockey coach"	0.0406105
"medical student"	0.040568
"computer expert"	0.0405259
Taufik	0.040518
no-decisions	0.0405024
trainee	0.0404556
looker	0.0404508
Klansmen	0.0404034
Californian	0.0403328
refusals	0.040329
Kasyanov	0.0402944
"health care provider"	0.0402858
"Ryder Cups"	0.0401458
renegade	0.0401221
fencer	0.040098
westerner	0.0400838
crewmembers	0.0400508
"major-league team"	0.0400144
))
("Comerica Park" (desc 2274.09) (sims
"Pacific Bell Park"	0.185088
"Safeco Field"	0.176704
"Tiger Stadium"	0.151629
"Enron Field"	0.141637
"Busch Stadium"	0.135022
"Edison Field"	0.128691
"Fenway Park"	0.120275
"Jacobs Field"	0.114362
Metrodome	0.111469
Ballpark	0.109553
"Yankee Stadium"	0.109408
"County Stadium"	0.10567
Fenway	0.104479
"Polo Grounds"	0.10289
"Comiskey Park"	0.100094
"Turner Field"	0.0995453
Astrodome	0.0979969
"Ebbets Field"	0.0957489
"RFK Stadium"	0.0940441
"Pac Bell Park"	0.0933031
"America West Arena"	0.0932132
"Veterans Stadium"	0.0922378
"Tokyo Dome"	0.0912871
"Maple Leaf Gardens"	0.0905174
"Pro Player Stadium"	0.0899963
"Joe Louis Arena"	0.0892274
"Market Square Arena"	0.0876083
"Arrowhead Stadium"	0.0870501
"Memorial Stadium"	0.0869704
"Camden Yards"	0.0867232
SkyDome	0.0865837
"Miami Arena"	0.0857566
"Compaq Center"	0.0854153
"Wrigley Field"	0.0853881
"Soldier Field"	0.0850194
Wrigley	0.0828556
Shea	0.0821413
"Qualcomm Stadium"	0.081898
"Rivers Stadium"	0.0811088
"Delta Center"	0.0805997
"Kyle Field"	0.079719
"Miller Park"	0.0793982
Superdome	0.0791526
"World Basketball Championship"	0.0789429
"Shea Stadium"	0.0788843
Kingdome	0.0777866
"Nassau Coliseum"	0.0762132
"Foxboro Stadium"	0.0761978
"Dodger Stadium"	0.075406
KeyArena	0.0752319
"Candlestick Park"	0.0750558
"Scotty Bowman"	0.0750049
"Tropicana Field"	0.0746229
"Mile High Stadium"	0.0742388
"Olympic Stadium"	0.0738606
"Continental Arena"	0.0738418
"Cinergy Field"	0.0736353
"Reunion Arena"	0.073529
megaplexes	0.071173
"Melbourne Park"	0.0708342
"Stade Velodrome"	0.0702932
"Coors Field"	0.069045
"Conseco Fieldhouse"	0.068569
"Pepsi Center"	0.0685479
"sports arena"	0.0685319
"Giants Stadium"	0.0677387
FleetCenter	0.067565
"Pauley Pavilion"	0.0671709
Foxboro	0.0669655
"RCA Dome"	0.0665297
"domed stadium"	0.0653856
"Philips Arena"	0.0652782
"Lincoln Center Festival"	0.065065
"Staples Center"	0.0650481
"Oakland Coliseum"	0.0650212
"Metropolitan Opera House"	0.064141
"MCI Center"	0.0635715
"Sanford Stadium"	0.0631774
"extra inning"	0.0625702
"Stade de France"	0.0624833
"Texas Stadium"	0.0621192
"Jewish Museum"	0.0604026
"Joyce Theater"	0.0600579
"Jack Kent Cooke Stadium"	0.0590027
"Film Forum"	0.0589957
Coliseum	0.0582488
"Marine Midland Arena"	0.0577849
"particle accelerator"	0.0575966
"Olympic Park"	0.056765
"Pudong International Airport"	0.055925
"Longwood Cricket Club"	0.0557048
"Devil Stadium"	0.0551574
"United Center"	0.0551428
"Hong Kong International Airport"	0.0540505
Alamodome	0.053563
"Lambeau Field"	0.0529191
"Continental Airlines Arena"	0.0519592
"Boston Garden"	0.0513025
Meadowlands	0.051045
Safeco	0.0507208
"National Museum"	0.0500888
"Copa America"	0.0499722
"National Stadium"	0.0497743
Pawtucket	0.0496304
"Nevada-Las Vegas"	0.0493662
"East Lake"	0.0493436
"civic center"	0.0489697
COMDEX	0.0488552
"Trans World Dome"	0.0486023
Disneyland	0.0483155
"Mandalay Bay"	0.047958
Anfield	0.0476097
"Hank Greenberg"	0.0471008
"Symphony Hall"	0.0470679
"Old Trafford"	0.0468542
"science museum"	0.0467515
"Cotton Bowl"	0.0462869
"Atlanta History Center"	0.0459478
"National Tennis Center"	0.0454338
"Riviera Country Club"	0.0453094
"LA COSTA"	0.0452962
"Terminal @"	0.0452341
"Memorial Hall"	0.0451489
"Wembley Stadium"	0.0451118
"Georgia Dome"	0.0448828
Storrs	0.0448626
"Science City"	0.0443113
"Fleet Center"	0.043641
"Expo @@@@"	0.0434504
"Carnegie Hall"	0.0433067
Macworld	0.0431407
"ice rink"	0.0430732
"Phoenix Open"	0.0430061
Bradenton	0.0429108
"New York Film Festival"	0.042905
"Kiel Center"	0.0428938
"Roland Garros"	0.0428524
"Brooklyn Academy of Music"	0.0427393
KLIA	0.0426092
"Sergei Fedorov"	0.0426014
Wembley	0.0424805
"Boland Hall"	0.042451
"Canadian Alliance"	0.0424396
"Civic Arena"	0.0421328
"Trade Fair"	0.0420574
"Millennium Dome"	0.0420234
"Georgia World Congress Center"	0.041985
homepages	0.0417334
millenium	0.0414094
"Motor Speedway"	0.0413269
"Chek Lap Kok"	0.041072
duplex	0.0410614
teahouse	0.0410247
Belfry	0.0409363
"American Museum of Natural History"	0.0409212
"Scottish Parliament"	0.0407847
"College of Charleston"	0.0407593
"Arthur Ashe Stadium"	0.0406604
Omni	0.0406402
"Melbourne Cricket Ground"	0.0405987
"fire station"	0.0404828
"Court @"	0.0403961
"Dorothy Chandler Pavilion"	0.0403157
SMU	0.0401746
Messina	0.0401591
Longwood	0.0400193
))
(Comes (desc 1913.72) (sims
came	0.0951725
gotcha	0.0582397
mower	0.0560735
"bed linen"	0.0496804
"second fiddle"	0.0478883
"Lee Kuan Yew"	0.0438844
ILOVEYOU	0.0431994
"Philippine Central Bank"	0.0417946
Sheng	0.0403506
"bright side"	0.0401182
))
(COMESA (desc 11698.4) (sims
"Common Market for Eastern and Southern Africa"	0.228945
SADC	0.220064
eco	0.181415
SAARC	0.180883
EAC	0.179608
ECOWAS	0.171201
OAU	0.16892
GCC	0.158735
ASEAN	0.150355
Mercosur	0.148648
IGAD	0.142993
"Southern African Development Community"	0.135818
OIC	0.135056
G-@@	0.131426
OECD	0.127643
APEC	0.126773
"Caribbean Community"	0.125834
"Andean Group"	0.122346
"East African Cooperation"	0.12152
D-@	0.121378
WEU	0.120846
"Association of Southeast Asian Nations"	0.12037
"Group of Rio"	0.120328
Ci	0.117733
PECC	0.117581
"Damascus Declaration"	0.114579
"Gulf Cooperation Council"	0.114282
"Arab League"	0.114006
CPLP	0.113326
"Commonwealth of Independent States"	0.111672
commonwealth	0.110799
"Economic Community"	0.108997
"Economic Community of West African States"	0.108551
IPU	0.107178
ESCAP	0.106969
OSCE	0.106562
sub-regional	0.103522
ARF	0.103307
"Rio Group"	0.103214
UNCTAD	0.103063
"Organization of African Unity"	0.102794
"Economic Cooperation Organization"	0.102651
EU	0.102396
AEC	0.100828
"Organization for Economic Cooperation and Development"	0.100306
ILO	0.0989751
"European Union"	0.098965
"Organization of Petroleum Exporting Countries"	0.0980492
"Non-Aligned Movement"	0.097982
ASEM	0.0975842
OAS	0.0974369
"Inter-Governmental Authority on Development"	0.0969735
"Council of Europe"	0.0954482
ECA	0.0951505
NSC	0.0950095
"Western European Union"	0.094139
grouping	0.0933377
JMC	0.0926867
"Southern Africa"	0.0923872
WIPO	0.0917893
ACP	0.0915023
UNEP	0.0908211
"South Pacific Forum"	0.0905038
"African Unity"	0.0902761
UPU	0.0900887
"Organisation of African Unity"	0.0891786
UN	0.0891382
G-@	0.0882252
"Group of @@"	0.0878021
"Asia Pacific Economic Cooperation"	0.0876194
OPEC	0.0868034
AFTA	0.0863979
"Andean Community"	0.086337
"Organization of Islamic Conference"	0.0861012
PATA	0.0853852
"United Nations"	0.0848719
"South Asian Association for Regional Cooperation"	0.084004
CITES	0.0837134
UNESCO	0.0833736
bloc	0.0833302
OCA	0.0826744
UNIDO	0.0802569
ADB	0.0797348
U.N.	0.0795204
E.U	0.0792436
"customs union"	0.0791739
"Common Market"	0.0791013
"European Council"	0.0780986
"PLO Executive Committee"	0.0778454
oil-for-food	0.0775816
"Organization of American States"	0.0774733
NAM	0.077013
AmCham	0.0767238
CWC	0.0766843
Interpol	0.0761858
FAO	0.0758786
"East African Community"	0.0756833
"Group of Eight"	0.0754463
KEDO	0.0752199
FTAA	0.0748102
IEA	0.0747317
WTO	0.0745889
"Congress Working Committee"	0.074426
"World Tourism Organization"	0.0742913
"North Atlantic Treaty Organization"	0.074179
BOI	0.073912
organisation	0.0738092
"African Economic Community"	0.0737672
EC	0.0731145
"ASEAN Regional Forum"	0.0725906
IDB	0.0722503
"Asia-Pacific Economic Cooperation"	0.0719397
"African country"	0.0718361
FTA	0.0712558
"World Trade Organization"	0.0702293
"Group of Seven"	0.0701218
"Arab Parliamentary Union"	0.0700913
CCF	0.0700492
Wada	0.0685536
"United Nations Conference"	0.068512
IEC	0.0682309
"Royal Government"	0.0681329
"Provisional Ruling Council"	0.0679653
KPA	0.0679536
"European Monetary Union"	0.0678286
"European Community"	0.0677743
WFP	0.0676228
UNDP	0.0676075
"United Nations Security Council"	0.0671779
Council	0.0671034
CPPCC	0.0670787
HKTA	0.0669562
CMAG	0.0668549
"Lome Convention"	0.0662806
INEC	0.0660282
Asia-Europe	0.0660181
Mensa	0.065893
NATO	0.0651679
"Islamic Conference"	0.0649957
USAID	0.0647883
"Southern Africa Development Community"	0.0646578
Africa	0.064545
CEC	0.0644661
NPT	0.064374
KONI	0.0643445
G@@	0.0640723
UNHCR	0.0640219
"Executive Committee"	0.0636791
LIFFE	0.0636579
sub-region	0.0636197
CAS	0.0634224
PTA	0.0633628
"international organization"	0.0632993
"Inter-Parliamentary Union"	0.0628557
"China Youth Development Foundation"	0.0627077
"Contact Group"	0.0624609
"member country"	0.0620037
"World Bank"	0.0619899
ICC	0.0618293
UUP	0.0615587
CGI	0.0612407
Bi	0.0612149
"Central American"	0.0611588
ICA	0.0610915
"planning commission"	0.0610735
"Provisional Legislative Council"	0.0606703
"Security Council"	0.0605985
"task force"	0.0603423
"National Executive Committee"	0.0600943
forum	0.0600782
"Civil Aviation Authority"	0.0599512
"Asian nation"	0.0598851
CIRC	0.0598535
UNICEF	0.0596039
"Latin American"	0.0595871
"UN Security Council"	0.0594293
federation	0.0594062
"trade union"	0.0593727
MPLA	0.0593129
NAFTA	0.0591526
"Supreme Council"	0.0590798
ANC	0.0590176
"working group"	0.058967
LDCS	0.0587025
"Southern Common Market"	0.0587
WEF	0.0586095
"U.N. Security Council"	0.0585352
SDMI	0.0583919
SDP	0.0583407
Asia-Pacific	0.0582378
ministry	0.0581241
ICTR	0.058102
Secretariat	0.0579244
Myanmar	0.0578961
IGC	0.0578435
IAEA	0.0576799
UMNO	0.0576394
"Preparatory Committee"	0.0576067
CSA	0.0573866
"CPPCC National Committee"	0.0573387
))
(comet (desc 25698.2) (sims
"Houston Comets"	0.156493
asteroid	0.140703
Meteor	0.124638
husky	0.108163
galaxy	0.107557
"Tar Heels"	0.10615
Spartan	0.105748
pacer	0.102601
spur	0.101967
"Trail Blazers"	0.101429
Boilermakers	0.101259
wildcat	0.100163
"blue devil"	0.0988462
Lakers	0.0980916
piston	0.0962718
Trojan	0.0956296
Sonics	0.09525
blazer	0.0946684
Knicks	0.0939291
"Los Angeles Lakers"	0.0924589
Gators	0.0921044
"Indiana Pacers"	0.0919981
"D.C. United"	0.0917973
Hawkeyes	0.0909421
Timberwolves	0.0909273
bulldog	0.0908393
bull	0.0907082
bronco	0.0901902
Hornet	0.0892147
"San Antonio Spurs"	0.0889849
buckeye	0.0882244
Purdue	0.087915
cougar	0.0878645
clipper	0.0866184
maverick	0.0862636
sixer	0.0862413
Sooners	0.0861918
Longhorn	0.0860811
MetroStars	0.0853595
Sparks	0.0852361
Celtics	0.085205
bruin	0.0852033
gamecock	0.0849901
Padre	0.0847397
Gonzaga	0.0847336
BEARS	0.0845807
"Denver Broncos"	0.0845564
"Dallas Stars"	0.0843203
"Chicago Bulls"	0.0841582
sabre	0.0835577
matador	0.0833565
Eagles	0.0832932
Cornhusker	0.0832333
"Michigan State"	0.083045
LSU	0.0829848
Jayhawks	0.0827642
UConn	0.0808885
"Red Storm"	0.0801931
"Red Wings"	0.0801303
bearcat	0.0791958
Huskers	0.0787126
devil	0.078416
"New York Liberty"	0.0782129
"Utah Jazz"	0.0781597
ram	0.0781163
"Texas Tech"	0.0778963
brave	0.077534
Viking	0.0774154
"Houston Rockets"	0.0773334
Seminoles	0.0772468
"Portland Trail Blazers"	0.0769609
"Phoenix Suns"	0.0768095
rocket	0.0767685
Aggies	0.0766793
cowboy	0.0761672
meteorite	0.0760433
"Iowa State"	0.0759966
grizzly	0.0758022
nugget	0.0755101
"White Sox"	0.0754098
Pepperdine	0.0753836
Giants	0.0752807
hawk	0.0752569
"Green Bay Packers"	0.0749972
ASTROS	0.0743741
falcon	0.0742575
Yankee	0.0742327
planet	0.0742239
Seahawks	0.074035
packer	0.0739414
"Dallas Cowboys"	0.0738547
Wolfpack	0.0737735
"ATLANTA FALCONS"	0.073704
titan	0.0734757
terrapin	0.0733635
"Chicago Fire"	0.0732005
"Penn State"	0.0729597
Raptor	0.0728783
tiger	0.0726954
Vols	0.0723122
"Detroit Red Wings"	0.0722158
Sox	0.0720802
badger	0.0718072
oiler	0.0717358
NAU	0.0716018
Minutemen	0.0715141
"Fighting Irish"	0.0714447
Moon	0.0711574
Razorback	0.0707526
"Ohio State"	0.0706439
Wolverine	0.0705957
Indiana	0.0704578
Mets	0.0702529
cardinal	0.0701031
flyer	0.0699769
"Golden Hurricane"	0.0699261
dolphin	0.0698765
"Red Sox"	0.0698473
"New Jersey Devils"	0.0696258
sun	0.0695774
Stanford	0.0695716
"Orlando Magic"	0.0694471
"Miami Dolphins"	0.0693488
"San Diego Padres"	0.0689304
Redskin	0.0686368
raider	0.0685191
Cavs	0.0682603
"Seton Hall"	0.0681985
cub	0.0680255
Duke	0.067972
"Atlanta Braves"	0.0679504
hurricane	0.0679354
Illini	0.0679246
jet	0.067793
"Weber State"	0.0676176
"Nittany Lions"	0.067537
"Minnesota Vikings"	0.0675232
cavalier	0.0673803
patriot	0.0671459
coyote	0.0670888
"Miami Heat"	0.0669626
"blue jay"	0.0668609
Orioles	0.0666491
"Detroit Pistons"	0.066572
marlin	0.0665459
Canuck	0.0665082
ranger	0.0664966
Jazz	0.066494
Rutgers	0.0663807
panther	0.0659213
"Maple Leafs"	0.0658896
A's	0.0658838
"Charlotte Hornets"	0.065762
Hokies	0.065678
"Florida State"	0.065672
"Mississippi State"	0.0656301
Hoosier	0.0655833
"Chicago Bears"	0.0653229
Portland	0.0652312
"Boston Celtics"	0.0652229
Stephenville	0.0651406
diamondback	0.0651106
"Buffalo Bills"	0.0649503
Canadiens	0.0649334
Steelers	0.0646651
UCLA	0.0644639
"New York Giants"	0.0644623
"Boston Red Sox"	0.0644513
"Scarlet Knights"	0.0644151
TCU	0.0641461
BYU	0.0640751
"Kansas State"	0.0640536
"Minnesota Timberwolves"	0.0638852
"Houston Astros"	0.0633209
"Virginia Tech"	0.0632944
"St. Louis Rams"	0.0632412
mariner	0.0631814
Phillies	0.0631808
colt	0.0631713
UNLV	0.063151
duck	0.0630953
"Los Angeles Kings"	0.0630939
"yellow jacket"	0.0630148
"New York Yankees"	0.0629577
"Cleveland Indians"	0.0629346
Hingis	0.0626207
"New York Knicks"	0.062616
"Horned Frogs"	0.0625936
"Dallas Mavericks"	0.0625873
Syracuse	0.0625811
Sampras	0.0625543
Dallas	0.0623519
wizard	0.0622663
"Washington Capitals"	0.0621797
cyclone	0.0621522
"Washington Redskins"	0.06208
"Red Raiders"	0.0618902
"Cincinnati Bengals"	0.0616372
pirate	0.0615579
"San Antonio"	0.0613532
))
(comeuppance (desc 958.214) (sims
make-over	0.0974627
"knockout punch"	0.0936756
chills	0.0885724
whiplash	0.0878971
nosebleed	0.0863411
jeremiad	0.0858786
frisson	0.085546
punchline	0.0846827
"cold shoulder"	0.0845849
tidings	0.0833939
ribbing	0.0790296
whammy	0.0778462
"leap year"	0.0771542
culpa	0.0764673
"marriage proposal"	0.0750518
"writer's block"	0.0746299
"identity crisis"	0.0736642
"top billing"	0.0722597
"black eye"	0.0714077
spiel	0.0704507
palpitation	0.0698541
damnation	0.0684869
imaginings	0.0670592
prosthesis	0.0668883
kudos	0.0664905
coda	0.0661121
spanking	0.0655395
whipping	0.0648733
retribution	0.0641829
"fishing license"	0.0641603
denouement	0.0640237
"Policy Address"	0.0634085
smooch	0.063341
"stage fright"	0.0632246
"nose dive"	0.0629719
"nervous breakdown"	0.062971
benediction	0.0625122
drubbing	0.0621406
stomachache	0.0620767
"dry run"	0.0620413
"ownership stake"	0.0615879
"great deal"	0.061299
"eye socket"	0.0605563
airplay	0.0604864
sunburn	0.0600843
indigestion	0.0600454
put-down	0.0595348
crowd-pleaser	0.0593806
zingers	0.0593473
thrashing	0.0593419
elegy	0.0592626
pang	0.0592319
"time clock"	0.0589073
"Christmas present"	0.0584948
premonition	0.0584869
"mental anguish"	0.0582228
"boarding pass"	0.0579214
opprobrium	0.0579083
maltreatment	0.057902
"stage name"	0.0567421
"punch line"	0.0566673
"pain in the neck"	0.0566243
"golden parachute"	0.0565656
catharsis	0.056537
keynote	0.0565108
titillation	0.0564516
"electric shock"	0.0564066
fillip	0.0563608
"point system"	0.056302
letdown	0.0562133
"clean slate"	0.0558704
"first basket"	0.055604
walk-through	0.0553893
send-off	0.0552713
birdbath	0.0550834
"digestive system"	0.0549104
Pe	0.0545064
flareup	0.05435
"emotional distress"	0.0542664
harangue	0.0540984
"public lecture"	0.0536828
no-decision	0.053599
"support system"	0.0534841
shakeout	0.0533573
"swan song"	0.0531798
downtime	0.0531365
"inaugural address"	0.0529561
hauteur	0.052861
indignity	0.0525624
"first pole"	0.0525304
"Purple Heart"	0.0525081
vasectomy	0.0521572
"death benefit"	0.052146
"money order"	0.0519355
facelift	0.0518406
personae	0.0518283
fullness	0.0515734
"flat tire"	0.0513859
cudgel	0.0513521
Ostracism	0.0513062
"Kevin Orie"	0.0512794
"all clear"	0.0511489
"parking ticket"	0.051038
verisimilitude	0.0510179
"more than @@@ million dollars"	0.050969
"curtain call"	0.0509221
toehold	0.050775
"Medal of Honor"	0.0507179
sobriquet	0.0505403
"death warrant"	0.0504865
renomination	0.0504302
"engine failure"	0.0501606
breakage	0.0499891
dander	0.0499379
soulmate	0.049844
firstborn	0.0497262
"line of work"	0.0497139
X-rayed	0.0495837
nuptials	0.0495359
"sales pitch"	0.0494672
TPA	0.0492494
homily	0.0492452
misadventure	0.0491943
Mayberry	0.0489877
plaudit	0.0489543
oration	0.0489476
summation	0.0487671
"waiting game"	0.0486388
"tone of voice"	0.048445
hangover	0.0483401
foul-up	0.0482667
back.	0.0482555
"panic attack"	0.0481363
blinder	0.0480775
WebTV	0.0477291
Chemo	0.0476885
"financial loss"	0.0475921
irrationality	0.0475362
knuckleball	0.0474885
heft	0.0474592
schematic	0.0473606
overviews	0.0472433
vertigo	0.0472188
"frame of reference"	0.0471435
"domed stadium"	0.047037
reinterpretation	0.0470284
hernia	0.0470171
"wedding ceremony"	0.0470001
frostbite	0.0469572
"Academy Award"	0.0467854
washout	0.0467463
"first points"	0.0467045
stethoscope	0.0466934
shtick	0.0465868
"hard sell"	0.0464114
"shoulder blade"	0.0464084
"civic duty"	0.0463811
"piggy bank"	0.0463668
"name tag"	0.046355
"liquidity problem"	0.046342
forceout	0.0463061
"sweet tooth"	0.0461717
"first exposure"	0.0461602
mammogram	0.046159
epitaph	0.0461433
"nest egg"	0.0461076
epiphany	0.0460517
fibula	0.0460004
committment	0.045922
"white elephant"	0.0458976
knighthood	0.0458683
toupee	0.0458352
"membership card"	0.0457822
lashing	0.0456295
"Eclipse Award"	0.0455238
sickbed	0.0454375
"birthday card"	0.0454058
housemate	0.0453882
commendation	0.0453804
B.A	0.0453363
rapidity	0.0453205
"first @@@"	0.0452414
femur	0.0451196
pratfalls	0.0451155
"ransom money"	0.0451059
"keynote address"	0.0450554
hankering	0.0450072
"sense of direction"	0.0449093
gibe	0.0449015
zinger	0.0448885
calculus	0.0448606
"bear market"	0.0447516
ignominy	0.0446906
subjugation	0.0446515
Awakening	0.0446391
"business processe"	0.0445465
"day of rest"	0.0443767
"voting machine"	0.04437
"day game"	0.0442799
bereavement	0.0442412
))
(comfort (desc 53122.4) (sims
solace	0.131484
convenience	0.112828
consolation	0.104486
Privacy	0.100026
happiness	0.0994544
warmth	0.0986394
dignity	0.0908418
flexibility	0.0898043
luxury	0.089198
efficiency	0.0885442
pleasure	0.0884437
encouragement	0.0877445
simplicity	0.0872363
confidence	0.0867356
"peace of mind"	0.0852092
reliability	0.0851225
solitude	0.084808
pride	0.0843097
satisfaction	0.0841693
reassurance	0.0828854
serenity	0.0819423
well-being	0.0809871
safety	0.0809397
elegance	0.0801609
quality	0.0796942
excitement	0.079356
consistency	0.0793029
joy	0.0778963
sophistication	0.0777642
intimacy	0.077224
beauty	0.0768754
sympathy	0.0765971
stability	0.0765398
clarity	0.0764847
relief	0.0763058
honesty	0.0761463
respect	0.0755781
compassion	0.0749739
inspiration	0.0743054
amenity	0.0742321
familiarity	0.0732659
meaning	0.0728081
love	0.0727018
loyalty	0.0721812
advice	0.0717172
enjoyment	0.0713843
protection	0.0711703
sense	0.0711228
fun	0.0711136
interest	0.0707166
versatility	0.0699607
attention	0.0698203
calm	0.0697048
prestige	0.0695313
tranquility	0.0690303
tranquillity	0.0689746
security	0.0688562
contentment	0.0688429
certainty	0.06865
taste	0.0684507
courage	0.0682883
durability	0.0676105
skill	0.067174
benefit	0.0667828
affection	0.0666727
prosperity	0.066547
trust	0.0665023
freedom	0.0664754
experience	0.0662124
speed	0.0660964
responsibility	0.0660748
companionship	0.0657614
wisdom	0.0657173
ease	0.0656861
patience	0.0655735
cleanliness	0.0655614
care	0.064646
wealth	0.0645791
spontaneity	0.0645698
diversity	0.0644784
strength	0.0644253
motivation	0.0642805
grace	0.064204
humor	0.0639023
surprise	0.0638838
value	0.0636908
fairness	0.0636806
knowledge	0.0636055
empathy	0.0635962
discipline	0.0635261
closeness	0.0633934
humility	0.0632275
mobility	0.0629801
enthusiasm	0.0626696
insight	0.0626594
health	0.0624385
Creativity	0.0622551
kindness	0.0620909
credibility	0.0619176
respectability	0.0618932
toughness	0.0618644
style	0.0617392
authenticity	0.0615927
charm	0.0614944
continuity	0.0614423
affordability	0.0613604
accommodation	0.0612742
normality	0.0611638
intensity	0.0610836
"customer service"	0.0610276
faith	0.0610168
ability	0.0608866
hope	0.060718
energy	0.0606545
truth	0.0605404
depth	0.0604899
normalcy	0.0603856
predictability	0.0601678
anonymity	0.0601091
complexity	0.0599005
intelligence	0.0598935
assurance	0.0598606
peace	0.0598288
perspective	0.0597055
shelter	0.0596012
harmony	0.059532
life	0.0594222
inconvenience	0.0594141
power	0.0594137
sustenance	0.0592008
success	0.0591436
accountability	0.0591185
Openness	0.0590032
food	0.0589793
expertise	0.058874
opportunity	0.058812
competence	0.0587587
passion	0.0587105
money	0.0586942
awareness	0.058655
glamour	0.0585923
longevity	0.0585565
access	0.0584429
frustration	0.0584154
sadness	0.0583586
guidance	0.0582903
self-confidence	0.0582457
recognition	0.0582285
thrill	0.0582141
freshness	0.0581208
accessibility	0.0581021
improvement	0.0580358
lifestyle	0.0579741
forgiveness	0.0578698
transparency	0.0578424
self-respect	0.0577411
emotion	0.0576796
assistance	0.0572741
sensitivity	0.0572622
discomfort	0.0570508
"common sense"	0.0569875
integrity	0.0569863
"quality of life"	0.0569012
accuracy	0.0568677
understanding	0.0567878
friendliness	0.0566609
pain	0.0566334
purity	0.0565902
maturity	0.0564903
calmness	0.0564602
unity	0.0563863
fitness	0.0561444
tolerance	0.0560676
significance	0.0560465
acceptance	0.0559683
"standard of living"	0.0559114
incentive	0.055905
nostalgia	0.0558744
survival	0.0558664
feeling	0.0557191
livelihood	0.0556999
professionalism	0.0556122
room	0.0554816
environment	0.0554775
risk	0.0553741
self-esteem	0.0553709
relaxation	0.0553199
size	0.0553007
saving	0.0552609
importance	0.0551523
space	0.055123
admiration	0.0546647
nutrition	0.0545529
talent	0.0544002
richness	0.0541528
stress	0.0541248
vitality	0.0538914
capability	0.0538767
refuge	0.0537157
information	0.0536117
))
(comforter (desc 2878.46) (sims
pillowcase	0.130198
bedspread	0.128443
mattress	0.11344
pillow	0.111716
towel	0.110654
"shower curtain"	0.106141
"sleeping bag"	0.103531
tablecloth	0.0977147
drapery	0.0944322
bedding	0.087811
quilt	0.0841859
kitchenette	0.0810231
rug	0.0802733
linen	0.07677
sofa	0.0746074
tarp	0.0737328
overcoat	0.0687099
chintz	0.0676082
chenille	0.0645253
wallpaper	0.0635337
linoleum	0.0626694
frock	0.0619591
bedsheets	0.0607774
chiffon	0.0596555
chaise	0.059642
recliner	0.0595564
"duffel bag"	0.058183
sheepskin	0.0581728
carpeting	0.0573307
underwear	0.0570739
awning	0.0562016
slipper	0.055488
scarf	0.0553658
pompom	0.0546813
"teddy bear"	0.0543739
"dress shirt"	0.0542189
bathrobe	0.0537786
tarpaulin	0.0534656
robe	0.0533091
"lounge chair"	0.0525516
smock	0.0518474
popsicle	0.0518303
cellophane	0.0515107
chalkboard	0.0507951
bunting	0.0503394
lithograph	0.0499954
"table of contents"	0.0495225
"bed sheet"	0.0491981
blouse	0.0485608
pullover	0.0484337
"American Dance Festival"	0.0480909
parchment	0.0478012
upholstery	0.0477017
flashlight	0.0476087
cot	0.0473245
taffeta	0.0470121
sheeting	0.0468432
"weather vane"	0.0468317
turtleneck	0.0467875
moonscape	0.046649
camisole	0.0465529
"hair dryer"	0.0465298
nightgown	0.0462028
paintbrush	0.0461862
bodice	0.0460808
purifier	0.0460245
"wrapping paper"	0.0456675
"shopping bag"	0.045471
sarong	0.0454126
brooch	0.0450222
shawl	0.0447282
lingerie	0.0447103
"cocktail dress"	0.0444545
Poncho	0.044166
sweatshirt	0.0441244
"gas stove"	0.0438394
"tennis ball"	0.0435324
pantsuit	0.0429418
crusher	0.0429092
cardboard	0.0425788
"lawn chair"	0.0424694
Tutu	0.0423442
teapot	0.0420354
biscuit	0.0417536
"folding chair"	0.0416781
jumpsuit	0.041512
saucer	0.0413543
shampoo	0.0407318
oleander	0.0406925
"coloring book"	0.0405787
"mine field"	0.040405
frosting	0.0403166
braid	0.040238
"piece of cloth"	0.0401662
"hot plate"	0.0401243
"mink coat"	0.0400445
cherub	0.0400296
))
(comforts (desc 1727.23) (sims
singer-songwriters	0.0663746
torching	0.0529814
gearbox	0.0508513
"basic concept"	0.0476542
foyer	0.0469611
privation	0.0459143
accoutrement	0.0456862
strangulation	0.0444581
"instruction manual"	0.0439166
"atmospheric condition"	0.0437057
happiest	0.0427803
earthiness	0.0420685
exigency	0.0416689
))
(comic (desc 29936.3) (sims
comedian	0.144064
"comic book"	0.137206
cartoon	0.104845
entertainer	0.086682
writer	0.0817912
musician	0.0815736
actor	0.080596
movie	0.0803523
comedy	0.0789182
film	0.0782391
artist	0.0754147
"comic strip"	0.0752007
fiction	0.0750437
performer	0.0749574
"TV show"	0.0748466
singer	0.0747884
Playwright	0.0745384
actress	0.0734829
"computer game"	0.0718736
music	0.0713719
novel	0.0709762
"movie star"	0.0709685
"television show"	0.0706856
poet	0.0702635
cartoonist	0.0695378
filmmakers	0.0686233
novelist	0.0675708
composer	0.06735
"video game"	0.0671258
choreographer	0.0662673
painter	0.0661657
"short story"	0.0660821
pianist	0.0660644
filmmaker	0.0659637
genre	0.0655309
animation	0.0648555
satire	0.0647506
screenwriter	0.0644191
poetry	0.0642477
sitcom	0.063171
serial	0.0629588
acrobat	0.0628136
songwriter	0.0623772
script	0.0623192
Entertainment	0.0620379
dancer	0.0612897
character	0.0612031
drama	0.0611695
author	0.0609159
musical	0.0607381
magazine	0.0605258
Song	0.0604431
toy	0.0591501
celebrity	0.0588825
video	0.0585951
tale	0.0584062
puppeteer	0.058263
skit	0.0581712
journalist	0.0580711
"feature film"	0.057943
designer	0.0577442
vocalist	0.0575594
"popular music"	0.0573219
photographer	0.0571427
"soap opera"	0.0569201
essay	0.0566543
painting	0.0565116
rapper	0.0564375
literature	0.0563875
"game show"	0.0562924
thriller	0.0561001
"leading lady"	0.0556586
guitarist	0.0555913
"talk show"	0.0555524
cookbook	0.0554356
art	0.0554226
sketch	0.055355
"TV program"	0.0545427
"television program"	0.0544435
"jazz musician"	0.0542334
classic	0.054177
"pop music"	0.0541654
sportswriter	0.0540509
"classical music"	0.0538258
photography	0.0537544
"trading card"	0.0535089
TV	0.053195
"disc jockey"	0.0531712
fantasy	0.0529511
"film star"	0.0529342
"character actor"	0.0528834
television	0.0525307
sequel	0.05238
"science fiction"	0.0523228
"rock band"	0.0523143
tabloid	0.0522521
spoof	0.0522231
storyteller	0.0520508
violinist	0.0519992
"Star Trek"	0.0519699
illustrator	0.0516903
poem	0.0515292
athlete	0.051509
ballplayer	0.051453
doll	0.051388
DJ	0.0513231
joke	0.0512109
humor	0.0511161
fashion	0.0509642
cinema	0.0509601
entrepreneur	0.0508569
documentary	0.0507182
"fashion model"	0.0505389
commentator	0.0504205
clown	0.0501613
"New Yorker"	0.0501087
opera	0.0500519
columnist	0.0499167
"motion picture"	0.0496168
commercial	0.0491991
collectibles	0.0491482
AD	0.0489792
conductor	0.0489356
stylist	0.0488158
icon	0.0487848
flick	0.0487532
programming	0.0487367
ensemble	0.0486241
sculptor	0.0485927
presenter	0.0485317
miniseries	0.0483885
memorabilia	0.0483499
artwork	0.0483286
"consumer electronics"	0.0482165
Programmer	0.0481561
Screenplay	0.0481316
poster	0.0481021
"sheet music"	0.0480778
copywriter	0.0480168
writing	0.0479949
"special effect"	0.0479412
lyricist	0.047869
girl	0.047809
sportscaster	0.0476602
dramatist	0.0476449
"rock star"	0.0475958
magician	0.0475923
chef	0.0475896
heroine	0.0475408
"country music"	0.0473765
wrestler	0.047358
commentary	0.0473571
nonfiction	0.0471542
"board game"	0.0471403
superstar	0.047044
textbook	0.046736
thinker	0.0466865
Recording	0.0466223
satirist	0.0465791
witch	0.0464501
stooge	0.0464031
drawing	0.0462717
personality	0.0462405
hero	0.0460921
humorist	0.0460914
politician	0.0460785
monologue	0.0459747
"fashion designer"	0.0459293
teen-ager	0.0459261
"reference work"	0.0458373
"folk singer"	0.0458272
"set piece"	0.0457134
"rock 'n' roll"	0.045697
"hockey player"	0.0456789
creature	0.0456107
troupe	0.0456023
pundit	0.0455899
tome	0.045554
trilogy	0.0455003
photograph	0.045457
"baseball player"	0.0453132
"folk art"	0.0452788
parody	0.0452237
"professional football"	0.0450131
memoir	0.0449207
"TV movie"	0.0447917
Journalism	0.0447394
western	0.0445846
soloist	0.0445812
Shakespeare	0.044544
lyric	0.0445099
broadcaster	0.0445022
teenager	0.0444659
manuscript	0.0444543
"newspaper column"	0.0444467
theater	0.0444446
listener	0.0444032
portrait	0.0444006
"ballet dancer"	0.044394
gangster	0.0442586
))
("comic book" (desc 14682.1) (sims
comic	0.137206
cartoon	0.135226
"comic strip"	0.127116
"video game"	0.109343
"Star Trek"	0.103128
"computer game"	0.100511
"trading card"	0.0973953
"TV show"	0.0913242
"short story"	0.087015
"science fiction"	0.0853737
toy	0.0799159
"television program"	0.0790802
"television show"	0.0784379
superhero	0.0779861
"TV program"	0.0776191
"Lethal Weapon"	0.0772466
"sheet music"	0.0765795
cartoonish	0.0761241
cookbook	0.0746714
Pokemon	0.0745728
"board game"	0.0741384
textbook	0.0739144
video	0.0733069
"Harry Potter"	0.0726422
sitcom	0.072012
doll	0.0718224
fiction	0.0709621
magazine	0.0705542
X-MEN	0.0704603
postcard	0.0695403
"Star Wars"	0.0694336
"game show"	0.0689327
fairytale	0.0679042
storybook	0.0676855
noir	0.0670147
collectibles	0.0666796
Encyclopedia	0.066151
periodical	0.0661368
"soap opera"	0.066029
"feature film"	0.0659605
memorabilia	0.0643898
poster	0.0642665
"picture book"	0.0641468
"pop music"	0.0640416
Superman	0.0639553
e-BOOKS	0.0638544
sequel	0.063825
anime	0.063641
CD-ROM	0.0635435
"South Park"	0.0635416
Rugrats	0.0630548
booklet	0.0630267
"James Bond"	0.0626092
"greeting card"	0.0624152
pamphlet	0.0621966
novel	0.0618172
brochure	0.061736
Dilbert	0.0615459
"Beanie Babies"	0.0615138
"best seller"	0.0614225
"compact disk"	0.0613857
catalog	0.0612198
CD	0.0611214
"Village Voice"	0.0603954
fantasy	0.0597025
Spider-Man	0.0596291
Batman	0.0595577
literature	0.0593671
novella	0.0592104
serial	0.0589864
"Toy Story"	0.0587187
paperback	0.0586978
woodcut	0.0585547
Screenplay	0.0585287
animation	0.0583149
hardback	0.0579792
manuscript	0.0579782
sci-fi	0.0579398
musical	0.0573044
tome	0.0571714
"Blair Witch"	0.0569484
newsletter	0.05678
tabloid	0.0567585
"Starr Report"	0.0566905
TV	0.0565424
multimedia	0.056057
"motion picture"	0.0557474
"pinball machine"	0.055602
"National Geographic"	0.0554715
guidebook	0.0550554
"yellow pages"	0.0550484
"tabloid newspaper"	0.054914
nonfiction	0.0547204
"Jane Austen"	0.0543554
Recording	0.0543052
newsreel	0.0542924
biography	0.0542806
Myst	0.054155
"Sesame Street"	0.0540913
"Kung Fu"	0.0540348
poem	0.053877
"Princess Mononoke"	0.053848
"magazine article"	0.0538081
Entertainment	0.0534616
"Indiana Jones"	0.053354
"coloring book"	0.0531645
drawing	0.0531432
"Saturday Evening Post"	0.0528745
goofball	0.052673
"Austin Powers"	0.0525577
potboiler	0.0524348
kitschy	0.0524057
T-shirt	0.0523323
"TV guide"	0.0522949
"newspaper article"	0.0522887
"Great Gatsby"	0.0522642
"Love Bug"	0.0522534
special-effects	0.0522365
tale	0.0521538
bestseller	0.0521398
thriller	0.0520218
sketch	0.0519038
IMAX	0.051899
Barbie	0.051258
DVDs	0.0511466
painting	0.0511018
gothic	0.0510886
Anthology	0.0510416
"avant garde"	0.0509988
trivia	0.0508163
"Sports Illustrated"	0.0507213
Bible	0.0507108
"compact disc"	0.0506934
"musical comedy"	0.0505692
"Old Testament"	0.0504356
Frankenstein	0.0503792
adventure	0.0503532
manual	0.0503374
autobiography	0.0502766
Samurai	0.0502173
vogue	0.0502141
"baseball card"	0.0500997
Porn	0.050055
surrealist	0.0500396
dictionary	0.0499933
glam	0.0499879
"John Grisham"	0.0499659
text	0.0499401
"National Enquirer"	0.049823
"real life"	0.0497902
skit	0.0497823
"audio CD"	0.0497597
diary	0.0496656
opera	0.049538
retro	0.0495122
"reference book"	0.0494779
script	0.0490724
Tarzan	0.0488424
"cereal box"	0.0487928
souvenir	0.0487674
merchandise	0.0487565
"theme park"	0.0487029
flick	0.0486704
"wide screen"	0.0485753
godfather	0.0482719
publication	0.04823
"computer language"	0.0482053
comedy	0.0481076
paraphernalia	0.048035
Lolita	0.0478588
calendar	0.0477069
"Night Live"	0.0476891
"Beanie Baby"	0.0476662
genre	0.0476569
"consumer electronics"	0.0475479
"Joe Camel"	0.0474768
album	0.0473236
"crossword puzzle"	0.0473114
yearbook	0.0471933
"postage stamp"	0.0471572
Catch-@@	0.0471523
schlock	0.0471506
"Rolling Stone"	0.0470594
memoir	0.0467907
X-Files	0.0467445
lithograph	0.0467033
mystery	0.0466543
Seuss	0.0464944
Teletubbies	0.04643
marvel	0.0464008
trilogy	0.0463948
"New Testament"	0.0463878
perfume	0.0463267
journal	0.0462384
edition	0.046186
"vanity fair"	0.0460855
roleplaying	0.0459997
"this @@@@"	0.0459588
documentary	0.0459032
timepiece	0.0458718
))
("comic strip" (desc 11033.1) (sims
cartoon	0.143707
"comic book"	0.127116
"TV show"	0.0917114
"CHARLES SCHULZ"	0.0897576
"newspaper column"	0.0860042
"television show"	0.0850686
"short story"	0.0841713
skit	0.0824695
"South Park"	0.079514
sitcom	0.0769871
"television program"	0.0760459
comic	0.0752007
Abner	0.0708586
cartoonist	0.0699747
"soap opera"	0.067776
"Charlie Brown"	0.0661748
serial	0.065438
"game show"	0.0653601
Dilbert	0.0647992
"Great Gatsby"	0.0642605
poem	0.0636106
opera	0.0622369
"Toy Story"	0.0615174
"Jekyll and Hyde"	0.0611764
sketch	0.0610363
"computer game"	0.0599841
musical	0.0590969
"feature film"	0.0579385
peanut	0.0571139
"variety show"	0.0567895
newsreel	0.0567644
"Melrose Place"	0.0566442
obit	0.0561897
documentary	0.0559144
"literary work"	0.0555202
newsmagazine	0.0552941
comedy	0.0552375
"situation comedy"	0.0549687
"TV movie"	0.0548909
"Murphy Brown"	0.0547378
operetta	0.0547339
"programming language"	0.0546475
"newspaper article"	0.0542701
Rugrats	0.0542659
animation	0.0541997
"Jerry Springer Show"	0.0541636
trilogy	0.0534903
"Star Trek"	0.0532963
Bild	0.0531806
"Sesame Street"	0.0531625
"computer language"	0.0530589
anime	0.0530564
"video game"	0.0519918
"TV commercial"	0.0517377
"TV program"	0.0517012
"Night Live"	0.0515021
Frankenstein	0.0514894
"Love Bug"	0.0514573
"Harry Potter"	0.0513814
bestseller	0.0506031
miniseries	0.0503684
Antz	0.0500427
"swing music"	0.0500238
Masterworks	0.0496817
Simpsons	0.0496368
novella	0.049615
newsletter	0.0496148
Revue	0.0494845
"film clip"	0.0494646
"Star Wars"	0.0490046
essay	0.0489968
"talk show"	0.0489316
Seinfeld	0.0483111
cookbook	0.0482132
Catch-@@	0.0480655
autobiography	0.0480198
"nursery rhyme"	0.0478683
"New Beetle"	0.0476262
Teletubbies	0.047189
fiction	0.0470507
caricature	0.0469951
verse	0.0468168
drawing	0.0467961
satire	0.0467184
memoir	0.0466631
"Joe Camel"	0.0465641
classifieds	0.0463703
watercolor	0.0461701
"musical score"	0.0459452
"Inspector Gadget"	0.0457943
ballet	0.0456777
illustration	0.045617
"magazine article"	0.0456152
Lolita	0.0452526
"musical comedy"	0.0451782
Screenplay	0.045149
"news article"	0.0450574
horoscope	0.0448543
"American Pie"	0.0447976
"best seller"	0.0443489
cosmopolitan	0.0441756
soprano	0.0438891
encyclical	0.0438661
Ulysses	0.0438227
commentary	0.0438198
Politika	0.0437556
"Wild Party"	0.0437366
"adventure story"	0.0437061
poetry	0.0434486
"board game"	0.0430626
obituary	0.0427956
literature	0.0427568
tabloid	0.0426905
Lullaby	0.0426741
"news show"	0.0426594
Esquire	0.0426405
lyric	0.0426183
spoof	0.04247
poster	0.0424097
"Le Figaro"	0.0423084
drivel	0.0422865
"puppet show"	0.0422699
bluegrass	0.0421399
Docudrama	0.0421112
ditty	0.0420709
"advertising campaign"	0.0420462
epic	0.0420444
"Jurassic Park"	0.0420396
"Blair Witch"	0.0419932
"Koha Ditore"	0.0419052
"Forrest Gump"	0.0418397
Newsweek	0.0418262
Tarzan	0.0418154
Encyclopedia	0.0418108
"folk song"	0.0416173
"USA TODAY"	0.0415662
Archie	0.0415622
"love story"	0.0415613
"utility program"	0.0413293
superheroes	0.0412151
masterpiece	0.0411966
"Old Testament"	0.041158
"Beijing Opera"	0.0411052
maxim	0.041026
diary	0.0409012
X-MEN	0.0407963
"picture book"	0.040773
"Larry Sanders Show"	0.0407531
sequel	0.0406916
"Ally McBeal"	0.0406827
annotation	0.040576
biography	0.0404734
"Eyes Wide Shut"	0.040433
"Cosby Show"	0.0403464
Shakespeare	0.0402159
tome	0.0401199
thriller	0.0400297
))
(coming (desc 11168.5) (sims
advent	0.122509
dawning	0.115097
arrival	0.0831947
turning	0.0822171
"Second Coming"	0.0798804
onset	0.073756
emergence	0.0665807
"Chinese New Year"	0.0653015
ascension	0.0618996
COMINGS	0.0594898
"first hours"	0.056821
birth	0.055558
coronation	0.0551155
dawn	0.0549667
demise	0.0546875
anticlimax	0.0538682
cusp	0.053269
"solar eclipse"	0.0521037
"first third"	0.0519065
"dog days"	0.0516225
rebirth	0.0511744
rededication	0.050015
"Lunar New Year"	0.0482608
Convergence	0.0474316
reopening	0.0472478
thaw	0.0459318
closing	0.0455959
rapidity	0.0453917
"first decade"	0.0448241
onslaught	0.0444968
culmination	0.044472
bicentennial	0.0442765
resurgence	0.0442266
rollout	0.044026
completion	0.043965
"Holy Year"	0.0439467
harbinger	0.0434412
melding	0.0429511
launching	0.042812
maturing	0.0424386
blossoming	0.0421452
acceptance	0.0420738
homecoming	0.0418884
inauguration	0.041762
thawing	0.0416532
observance	0.0410864
adoption	0.0410649
softening	0.0410142
"turning point"	0.0408098
weakening	0.0407954
re-opening	0.0406578
influx	0.0403698
centennial	0.0402961
changeover	0.040285
upsurge	0.0401844
"International Year"	0.0401445
))
("coming back" (desc 32845.5) (sims
comeback	0.0860816
doing	0.0825849
moving	0.074755
playing	0.0700027
guessing	0.0643348
leaving	0.0624814
recovery	0.0620856
happening	0.06165
"paying attention"	0.06136
"falling off"	0.0608043
walking	0.0548918
figuring	0.0545741
hitting	0.0537159
"coming together"	0.0536753
"taking over"	0.0520548
winning	0.0518052
rushing	0.0516114
"running away"	0.0507861
Nn	0.0503437
yelling	0.0499959
waiting	0.0498331
saying	0.049571
recuperation	0.0480951
ok	0.0480426
"over .@@@"	0.0476989
riding	0.0473068
tuning	0.0466935
dreaming	0.0457337
tying	0.0454059
"stepping down"	0.0451945
pitching	0.044987
thought	0.0445725
rolling	0.0445518
coaching	0.0445368
suffering	0.044367
thinking	0.0442919
Racing	0.0442109
"living together"	0.0438255
listening	0.0436915
buying	0.0435628
fun	0.043459
ballclub	0.0432382
lying	0.0429035
slowing	0.0428756
rehab	0.0428738
pain	0.0425772
surgery	0.0424234
turnaround	0.0424077
jumping	0.0420463
complication	0.0419706
flying	0.0416988
sitting	0.0415327
living	0.0414035
hanging	0.0412519
driving	0.0401729
))
("coming together" (desc 9195.86) (sims
"jumping up and down"	0.0697666
happening	0.0654351
"get together"	0.0633022
"paying attention"	0.0623966
guessing	0.0594099
figuring	0.0563745
"living together"	0.0560514
doing	0.05534
okay	0.0543573
"coming back"	0.0536753
"falling off"	0.05314
crock	0.0524526
"spending money"	0.0519456
"split up"	0.0507137
"making love"	0.0497431
bonding	0.0490075
unity	0.0487325
"melting pot"	0.0486639
Convergence	0.0479596
complicit	0.0465387
fragmentation	0.0465008
empowerment	0.0460683
ok	0.0455691
continuity	0.045465
"good will"	0.0450891
confluence	0.0445176
militancy	0.0444628
renewal	0.0440623
solidarity	0.0436742
"heavy hitter"	0.0436442
off-balance	0.0432563
wishing	0.0432238
baloney	0.0431118
resilience	0.0425823
nonevent	0.041963
togetherness	0.0418916
nowadays	0.0418273
accomplishment	0.0415226
resurrection	0.0411412
unraveling	0.0410136
clout	0.0404853
"core group"	0.0402532
schism	0.0400374
))
(coming-out (desc 1093.4) (sims
"black tie"	0.130191
"Chart Pattana"	0.125071
"Northern Irish"	0.118057
royalist	0.109619
"Canadian Alliance"	0.106735
"Costume Institute"	0.106391
"Bastille Day"	0.105577
"Veterans Day"	0.0964581
"United Malays National Organization"	0.095994
Sleepwalking	0.0955174
"Mardi Gras"	0.0931578
Thirty-eight	0.0917193
"St. Patrick's Day"	0.0887927
Lakas-NUCD	0.0877609
Safina	0.0869881
Clinton-Lewinsky	0.0848346
Lakas	0.0840594
Gesher	0.0840548
"Fourth of July"	0.0823881
"Christian Democrat"	0.0777272
"May Day"	0.0774198
keg	0.0773461
"Grand National"	0.0757616
Halloween	0.07478
send-off	0.0747157
PASOK	0.071523
"New Democracy"	0.0707307
Israeli-Arab	0.0688518
Fifty-five	0.0675899
"Third Way"	0.0671266
"Democratic Revolution"	0.0669312
masquerade	0.0663893
"Christian Democratic Union"	0.0652323
Sinhala	0.0642623
Oktoberfest	0.0639716
ZANU	0.0639623
homecoming	0.0631463
"New Frontier"	0.063074
"wedding anniversary"	0.062525
pF	0.0622675
"New Komeito"	0.0621711
Zairian	0.0621026
pro-Islamic	0.0620001
Juneteenth	0.0612137
"Love Lucy"	0.0612071
Zanu-pf	0.0608752
"Democratic Left"	0.0607925
"Kenya African National Union"	0.059968
"Nepali Congress"	0.0596799
off-day	0.0592401
two-hour	0.0592292
"free form"	0.0591868
"Herri Batasuna"	0.0588681
Arab-Israeli	0.0587456
nightlife	0.0584716
UML	0.0582711
"leap year"	0.0577576
GPA	0.0576844
Yabloko	0.0575489
"FAO Schwarz"	0.0573277
roadshow	0.0572683
"Mary Tyler Moore"	0.0570863
"New Democrat"	0.0569967
"Twilight Zone"	0.0568598
FRELIMO	0.0568583
"New Zealand First"	0.0563715
sendoff	0.0562427
Tupperware	0.0559874
"National League for Democracy"	0.0557486
BASQUE	0.0551934
interagency	0.0549668
"Next Generation"	0.0549512
"National Day"	0.0549236
"Northern League"	0.0548848
on-and-off	0.0547808
glitzy	0.0546719
seesaw	0.054598
"Holy Year"	0.0544659
tailwind	0.0542774
Pushkin	0.0539277
Iran-contra	0.0538889
"NZ First"	0.0537883
"National Action"	0.0537778
dovish	0.0535849
fatherland	0.0529885
shattering	0.0529025
"Ulster Unionist"	0.0527542
hawkish	0.0526098
Bougainville	0.052571
coronation	0.0521782
Awakening	0.0521568
stinker	0.0517148
"Union of Right Forces"	0.0517127
"Barisan Nasional"	0.0516806
"Earth Day"	0.0515936
four-night	0.0515488
one-hour	0.0512994
"Memorial Day"	0.0510589
"Black Panther"	0.0509494
Laban	0.0509482
four-hour	0.0508109
hourlong	0.0506832
"Dirty Bird"	0.0505317
slurry	0.0502926
"Gennifer Flowers"	0.0501464
SDS	0.050088
mitzvah	0.0498309
seven-hour	0.0495291
"Aryeh Deri"	0.0492814
well-received	0.0492132
zinger	0.0491877
ex-communist	0.0491031
seven-minute	0.0487725
Kargil	0.0487137
"guardian angel"	0.0485553
looker	0.0485441
secularist	0.0485269
nonstarter	0.048523
now-famous	0.0485051
Nijinsky	0.0482553
"Lunar New Year"	0.0482433
UMNO	0.048207
Sakigake	0.0481961
"Mickey mouse"	0.0481439
"tit for tat"	0.0478578
"swan song"	0.0478488
Bam	0.0477779
"natural law"	0.0477115
"Valentine's Day"	0.047692
"first eight"	0.0474122
MPLA	0.0473931
Islamist	0.0473892
lassie	0.0472682
newsmagazine	0.0471831
"mind's eye"	0.0470544
three-week	0.0470336
"more than seven"	0.0467173
off-campus	0.046653
"first six"	0.0466258
"trial balloon"	0.0463195
Zulu	0.0462272
"class warfare"	0.0461644
lashing	0.0460909
"Sweet @@"	0.0460883
"bar mitzvah"	0.0460763
postgame	0.0459563
campfire	0.0455574
superhero	0.0455143
"World Environment Day"	0.0455141
deathbed	0.0454465
"Gallup Poll"	0.0453334
pregame	0.045259
singsong	0.0450373
mid-night	0.0449914
Lan	0.0448764
"Love Boat"	0.0448451
"Brady Bunch"	0.0447518
bruschetta	0.0446642
"James Hormel"	0.0446632
HDZ	0.0446499
"first four"	0.0445752
slugfest	0.0444854
"first night"	0.0442786
kudzu	0.0441712
made-for-TV	0.0441646
debutante	0.0441338
Canty	0.0441138
"rest day"	0.0439496
six-minute	0.0439409
bullishness	0.0437994
"leisure time"	0.0436769
pre-Olympic	0.0436727
"split personality"	0.0436525
center-right	0.0435672
Palestinian-Israeli	0.0434686
dud	0.0434622
SDLP	0.0434167
defining	0.0433339
"Chinese New Year"	0.0432566
as-yet	0.0432305
DPP	0.0430338
polygraph	0.0429746
"Democratic Alliance"	0.0429231
raver	0.042921
"phone jack"	0.0429066
Sandinista	0.0428802
"reference point"	0.0426665
tiff	0.0426564
"Hail Mary"	0.0426504
Wigand	0.0425436
Hokey	0.0425153
falling-out	0.0424414
hardline	0.0424097
absurdist	0.0423673
preachy	0.042347
inter-Korean	0.0422118
"carbon copy"	0.0421617
three-meter	0.0421545
flareup	0.0421074
RNC	0.0419861
))
(COMINGS (desc 1879.6) (sims
keystrokes	0.0920529
keystroke	0.0830155
"brain wave"	0.0590762
playlist	0.0547235
"name and address"	0.0537705
"credit report"	0.0530956
double-teams	0.052554
exertion	0.0516341
"medical history"	0.0508571
match-ups	0.0504619
goings-on	0.0494791
travail	0.0493663
Sodom	0.0493519
escapade	0.0489413
grandkids	0.0471408
"foot traffic"	0.0460003
shenanigan	0.0454949
"price change"	0.0448172
circumnavigation	0.0442415
sighting	0.0437596
"blood sugar"	0.0436719
"heart rate"	0.0433269
"market average"	0.0424681
"guardian angel"	0.0418446
respiration	0.0407736
oppressor	0.0403859
"body weight"	0.040068
))
("Comiskey Park" (desc 3049.36) (sims
"Wrigley Field"	0.205638
"Soldier Field"	0.201731
"Polo Grounds"	0.171415
"Edison Field"	0.156881
"Busch Stadium"	0.153342
"Fenway Park"	0.152314
"Pauley Pavilion"	0.148506
"Coors Field"	0.147851
"Jacobs Field"	0.146615
"Oakland Coliseum"	0.144666
Metrodome	0.144516
Astrodome	0.143174
"Yankee Stadium"	0.142892
"United Center"	0.142859
"Turner Field"	0.139623
"County Stadium"	0.139213
"Candlestick Park"	0.138683
"Veterans Stadium"	0.137522
"Shea Stadium"	0.135815
"Camden Yards"	0.132889
"Rivers Stadium"	0.132468
"America West Arena"	0.132198
"Pacific Bell Park"	0.131951
"Dodger Stadium"	0.131611
"O'Hare International Airport"	0.127669
"Continental Arena"	0.125645
"Foxboro Stadium"	0.12124
"Enron Field"	0.119767
"Tokyo Dome"	0.118212
"Maple Leaf Gardens"	0.117194
"Reunion Arena"	0.113281
"RFK Stadium"	0.112926
"Texas Stadium"	0.111716
"Qualcomm Stadium"	0.110922
"Tropicana Field"	0.110834
"Compaq Center"	0.110082
Shea	0.109268
"Memorial Stadium"	0.108987
"Safeco Field"	0.108032
"Cinergy Field"	0.10722
"RCA Dome"	0.105871
"Arrowhead Stadium"	0.105035
"MCI Center"	0.104607
"Nassau Coliseum"	0.104175
"Tiger Stadium"	0.103429
"Pac Bell Park"	0.103421
"Kyle Field"	0.10181
"Comerica Park"	0.100094
"Jack Kent Cooke Stadium"	0.0995712
"Cotton Bowl"	0.0993829
Wrigley	0.0992323
Fenway	0.0981586
SkyDome	0.0974183
"Giants Stadium"	0.0973331
"Madison Square Garden"	0.0959018
"Philips Arena"	0.0956894
Kingdome	0.0927708
"Delta Center"	0.0922993
FleetCenter	0.0922206
"Lambeau Field"	0.0916463
"Roland Garros"	0.0914528
O'Hare	0.090248
Ballpark	0.0894789
KeyArena	0.0892551
"Ebbets Field"	0.0885605
"Conseco Fieldhouse"	0.0879997
"Civic Arena"	0.0877217
"Miami Arena"	0.085707
"Marine Midland Arena"	0.0848145
Wembley	0.0843021
Anfield	0.0838752
"Trans World Dome"	0.0830169
"Wembley Stadium"	0.0824514
"Devil Stadium"	0.0823554
TM	0.0813914
Alamodome	0.0805887
"Sanford Stadium"	0.0797701
"Olympic Stadium"	0.0795579
"Fleet Center"	0.0789719
"Brooklyn Academy of Music"	0.0781839
"National Stadium"	0.078086
"Museum of Contemporary Art"	0.0776563
"Mile High Stadium"	0.0770004
Safeco	0.0768834
"Orange Bowl"	0.0768079
"Rose Bowl"	0.0761409
"Pro Player Stadium"	0.0761319
"Western Open"	0.0760711
"Continental Airlines Arena"	0.0758915
"Stade de France"	0.0758749
"Joe Louis Arena"	0.0758022
"Boston Garden"	0.0753326
"Market Square Arena"	0.0737314
"Georgia Dome"	0.0725074
"Joyce Theater"	0.0718749
"sports arena"	0.0714208
NHIS	0.0710175
"Staples Center"	0.0703487
Coliseum	0.0699295
"Kauffman Stadium"	0.0691107
"Stade Velodrome"	0.0680101
"Royal Birkdale"	0.0678518
"Melbourne Cricket Ground"	0.0678458
Superdome	0.0676192
"Pepsi Center"	0.0670823
Brickyard	0.0659417
"National Tennis Center"	0.0648213
"Pikes Peak"	0.064129
Pocono	0.0641177
Carnoustie	0.0640005
"Film Forum"	0.0637961
Tanglewood	0.0635829
Valhalla	0.0627369
"Union Station"	0.0623939
"Pebble Beach"	0.0622945
"Kai Tak Airport"	0.0614931
"Waldorf-Astoria Hotel"	0.0612472
Meadowlands	0.0606848
Augusta	0.0605658
Pinehurst	0.0605226
Highbury	0.0603474
"Memorial Tournament"	0.0602459
"Augusta National"	0.0601891
"New Hampshire International Speedway"	0.0593438
Monza	0.0592052
"Texas Motor Speedway"	0.0592036
"Melbourne Park"	0.0584539
"Old Trafford"	0.0579584
"Kiel Center"	0.0574645
Omni	0.0567245
"Gulfstream Park"	0.0566813
"Atlanta Motor Speedway"	0.0565916
Foxboro	0.0556205
"LA COSTA"	0.0555893
Pir	0.0555552
"Metropolitan Opera House"	0.0555306
"Grand Ole Opry"	0.0555037
"Convention Center"	0.0550517
"First Union Center"	0.0542963
"Lincoln Center Festival"	0.0538239
Belfry	0.0535458
"Stamford Bridge"	0.0535055
"New York City Opera"	0.0533521
"Phoenix Open"	0.0533452
LSU	0.0528526
Medinah	0.0528298
"Plaza Hotel"	0.0526576
"Penn Station"	0.0521434
"Great Western Forum"	0.0520758
Postmaster	0.0518191
"Pennsylvania Station"	0.0514993
"polling booth"	0.0511697
"law practice"	0.0509708
two-hitter	0.0508521
Riviera	0.0505127
"Loch Lomond"	0.0501853
"radio set"	0.0501386
"Mastercard Colonial"	0.0500707
"Valley Ranch"	0.0499176
"rat race"	0.049058
"World Basketball Championship"	0.0489608
Stormont	0.0488203
"U.N. Headquarters"	0.0486805
"Australian Open"	0.0486097
"Oregon State"	0.0485161
"Sacramento State"	0.0483563
"New York Film Festival"	0.0481605
"Louisiana State"	0.0480489
"Villa Park"	0.0479249
"Tony Amonte"	0.0478893
"Belmont Park"	0.0475712
Foxwoods	0.0475373
"Tour Championship"	0.0473422
stockyard	0.0472295
WGN	0.0469994
Bormio	0.0469767
"Pinehurst No. @"	0.0468826
Imola	0.0466455
"Kuala Lumpur International Airport"	0.046533
"Arizona State"	0.046518
"Players Championship"	0.0464484
"World Conference"	0.0463624
"BellSouth Classic"	0.0461625
Longwood	0.0461361
Busch	0.0460424
"first points"	0.045982
"British Grand Prix"	0.0459422
"Lincoln Center Theater"	0.0459028
speakeasy	0.0458397
"rose garden"	0.0456962
"Beijing Zoo"	0.0451684
"Flushing Meadows"	0.0450434
Sahalee	0.0442788
Daytona	0.0441361
nunnery	0.0440449
"Millrose Games"	0.0439174
"University of Oregon"	0.0436774
Saint-Denis	0.0436245
Irwindale	0.0432454
"Lincoln Center"	0.0430589
))
(comity (desc 1929.5) (sims
bipartisanship	0.188258
civility	0.118878
collegiality	0.114379
cordiality	0.109604
decorum	0.109198
Amity	0.105381
bonhomie	0.102201
conciliation	0.0920416
harmony	0.0802258
"good will"	0.0796486
tranquility	0.0793121
unanimity	0.0790463
goodwill	0.0746036
decency	0.074163
friendliness	0.0716809
neighborliness	0.0711545
moderation	0.0696675
sportsmanship	0.0690975
cohesion	0.0687134
detente	0.0685721
normalcy	0.0666521
"collective security"	0.0660135
internationalism	0.0642202
infallibility	0.0633386
Openness	0.0628636
humanism	0.0610412
"home rule"	0.0601265
giddiness	0.0595865
partisanship	0.0588591
sanity	0.0584031
"good manners"	0.0579949
humility	0.0579879
continuity	0.0578864
reciprocity	0.0577238
politeness	0.0572964
interdependence	0.0571117
pluralism	0.0564856
self-respect	0.05611
rapprochement	0.0549495
"Sino-Japanese Joint Statement"	0.0548601
self-reliance	0.054834
good-neighborliness	0.0543751
gentility	0.0542356
Congeniality	0.0541874
"Lahore Declaration"	0.0538104
presumption	0.053766
mega-mergers	0.0537299
acquiescence	0.0536489
generosity	0.0536048
equilibrium	0.053425
"mutual understanding"	0.0531753
pragmatism	0.0527548
neutrality	0.0523588
interoperability	0.0522408
camaraderie	0.0519126
brotherhood	0.0518838
ignominy	0.0518628
nonstarter	0.0518408
"Commission on Presidential Debates"	0.0511703
coexistence	0.0505905
ancients	0.0504877
choosing	0.0504473
commonality	0.0502806
spontaneity	0.0502771
togetherness	0.0497273
nonalignment	0.0493465
solvency	0.0491935
multiculturalism	0.0490706
teamwork	0.0488587
globalisation	0.0487496
inclusiveness	0.0486706
subsidence	0.0484135
calmness	0.048116
"Lei Feng"	0.0479285
penitence	0.0477172
"Dulles International Airport"	0.0476603
normality	0.0475565
impartiality	0.0475444
acrimony	0.0474881
kindness	0.0469919
disunity	0.0469199
one-upmanship	0.0467999
intimacy	0.0465489
serenity	0.0458213
complementarity	0.0455639
self-sacrifice	0.0453501
tranquillity	0.0452933
frugality	0.0448002
"CHARLOTTE STING"	0.044665
in-fighting	0.0446633
plausibility	0.0446352
humanitarianism	0.0446279
singularity	0.0445665
"district line"	0.0444651
"Oslo Accords"	0.0436281
"parliamentary democracy"	0.0435271
rudeness	0.0434972
expediency	0.0432869
doneness	0.0431013
modesty	0.0430177
confidentiality	0.0429591
horse-trading	0.0429017
bickering	0.0427562
"water vapor"	0.0426567
polarization	0.0425983
McCarthyism	0.0424586
schism	0.0423468
emancipation	0.042138
informality	0.0420304
deterrence	0.0420304
naivete	0.0419375
"free enterprise"	0.0418677
arm-twisting	0.0415464
silliness	0.0412376
invincibility	0.0410233
smugness	0.0409884
adulation	0.0409437
enlightenment	0.0408041
"Thad Cochran"	0.0406734
ebullience	0.0406375
"balance of power"	0.0405705
AHA	0.0404127
logjam	0.0403482
containment	0.0402563
divergence	0.0401132
))
(comma (desc 3192.83) (sims
semicolon	0.112232
iota	0.0766074
hyphen	0.0645086
typo	0.0619282
whit	0.059256
olestra	0.0552825
"civic duty"	0.0512003
paragraph	0.0494752
"rest day"	0.0493633
"sour grapes"	0.0477883
raindrop	0.0472527
dime	0.0471845
defoliant	0.0469435
double-entendres	0.0467291
"National Court"	0.0466442
pronoun	0.0457
endoscope	0.0450265
DOJ	0.0447346
"Ottoman Empire"	0.0437495
"internal organ"	0.0430176
"breathing space"	0.042497
electrode	0.0424808
"another @.@ percent"	0.0423978
"question mark"	0.041676
pimple	0.0415403
CFCs	0.0413212
B-@s	0.0412823
Nickel	0.0412343
"one line"	0.041162
chokehold	0.041043
self-satisfaction	0.0401955
))
(command (desc 79340.8) (sims
commander	0.117511
control	0.10358
force	0.0866868
leadership	0.0855409
"general staff"	0.0840662
headquarter	0.0794441
capability	0.0762979
authority	0.0762687
army	0.0759673
Brigade	0.0753448
troop	0.0751288
military	0.0713448
Mission	0.0710795
battalion	0.0709165
unit	0.0706854
mandate	0.0701095
instruction	0.0698413
"command post"	0.0696333
management	0.0680246
power	0.0679805
intelligence	0.0678069
"Interior Ministry"	0.0673912
personnel	0.0671225
ministry	0.06662
office	0.0655198
operation	0.0652874
position	0.0651827
structure	0.0651647
headquarters	0.0651005
"military force"	0.064983
order	0.0649444
deployment	0.0644538
"Air Force"	0.0640888
"police force"	0.0635938
system	0.0627759
presence	0.0627156
"armed forces"	0.0625273
officer	0.0625063
supervision	0.0623328
department	0.0622537
administration	0.0618676
surveillance	0.0615759
government	0.0614047
ability	0.0610944
function	0.0607603
"military headquarters"	0.0607226
skill	0.0602563
navy	0.0599266
squadron	0.0598506
responsibility	0.0594684
General	0.059315
Directorate	0.0590818
soldier	0.0580006
task	0.0579443
training	0.0578347
communication	0.057529
barrack	0.057513
agency	0.0574297
chief	0.0573536
service	0.0572379
"Defense Ministry"	0.0571441
organization	0.0570702
Council	0.0567914
police	0.0567879
discipline	0.0567872
patrol	0.0564888
"commander in chief"	0.0564559
peacekeeper	0.05575
"security force"	0.0557315
"task force"	0.0549553
commission	0.0548778
rule	0.0547829
auspice	0.0545293
"air defense"	0.0543439
guidance	0.0543079
knowledge	0.0542737
planning	0.0542694
bureau	0.0539373
strategy	0.0537765
post	0.0537682
determination	0.0536837
grasp	0.0535726
readiness	0.0534491
contingent	0.0533271
direction	0.053236
message	0.0529072
"military unit"	0.0526365
technique	0.0526015
Defense	0.052095
weaponry	0.0520544
logistics	0.0519906
strength	0.051886
staff	0.0517915
quality	0.0517553
mechanism	0.0516506
center	0.051563
role	0.0514966
equipment	0.0514882
policy	0.0514768
committee	0.0514435
"control system"	0.0514232
"chief of staff"	0.0513332
radar	0.0513116
security	0.0512908
Regiment	0.0511103
directive	0.0509199
professionalism	0.0508362
location	0.0507685
action	0.0506362
movement	0.050593
official	0.0504496
response	0.0503701
mastery	0.0502251
facility	0.0501158
branch	0.0500052
division	0.0499204
U.N.	0.0499165
morale	0.0499107
oversight	0.0498273
reinforcement	0.0498039
element	0.0496835
coordination	0.0496686
ownership	0.0495783
fleet	0.0495101
duty	0.0493367
information	0.0492161
"decision making"	0.0491714
care	0.0490329
institution	0.0489927
installation	0.048983
infrastructure	0.0489479
embassy	0.0489218
jurisdiction	0.0489215
commitment	0.0485685
exercise	0.0484657
aircraft	0.0484573
Judiciary	0.0484158
helicopter	0.048354
protection	0.0482153
reconnaissance	0.0481702
NATO	0.0481615
Alliance	0.0479912
missile	0.0478406
custody	0.0477378
style	0.0477343
leader	0.0476114
preparedness	0.0475534
sense	0.0475174
arrangement	0.047196
controller	0.0470553
fighter	0.0470285
expertise	0.0469459
competence	0.0466834
tactic	0.0466213
button	0.0465975
inspection	0.0465019
code	0.0464863
"Foreign Ministry"	0.0464775
corps	0.046325
cabinet	0.0462353
garrison	0.0461457
activity	0.046078
job	0.0460448
effort	0.0460289
Computer	0.0460188
velocity	0.0459312
KFOR	0.0459121
status	0.0459044
warning	0.0458592
firepower	0.0457414
influence	0.0456836
request	0.0456644
procedure	0.0456083
confidence	0.0455392
condition	0.0455247
intervention	0.0455167
word	0.0454972
infantry	0.0454966
outpost	0.04546
concept	0.0454148
Secretariat	0.0453464
technology	0.0453254
"central bank"	0.0450827
instrument	0.0450816
efficiency	0.0450767
distribution	0.0450361
court	0.0449103
navigation	0.0449063
board	0.044825
regulation	0.0447611
commando	0.0447464
"National Guard"	0.0447333
doctrine	0.044733
withdrawal	0.0446826
image	0.0446797
talent	0.0446185
warplanes	0.0445261
law	0.0445004
institute	0.0444279
statement	0.0444128
))
("command post" (desc 7370.01) (sims
"observation post"	0.131349
airfield	0.110989
barrack	0.108164
"staging area"	0.105963
"military position"	0.103867
depot	0.0997793
"military post"	0.0996829
"field hospital"	0.0981468
"military vehicle"	0.0926853
"air defense"	0.0918293
"military headquarters"	0.08978
"military installation"	0.0888725
"oil refinery"	0.0845299
headquarters	0.0815673
"personnel carrier"	0.0808689
"heavy weapon"	0.0799111
gunship	0.0773026
"air base"	0.0761024
silo	0.075636
"army base"	0.0750529
"police station"	0.0747898
outpost	0.0743976
"surface-to-air missile"	0.0733317
"control center"	0.0730106
"relay stations"	0.0729136
checkpoint	0.0718607
encampment	0.0703315
"landing strip"	0.069687
barricade	0.0689954
armory	0.0688984
artillery	0.0687236
Hotlines	0.0686287
stronghold	0.0675892
hideout	0.0675458
"railroad station"	0.0659222
"mortar fire"	0.0658762
fortification	0.0650402
garrison	0.0646478
transmitter	0.0641463
morgue	0.0640402
roadblock	0.0638592
sub-branches	0.0636368
"training school"	0.0623502
"police headquarters"	0.0622279
incinerator	0.0618829
"clearing house"	0.0616838
bunker	0.0613983
"power station"	0.0612746
Warehouse	0.0612187
dumps	0.0608287
installation	0.0603158
"early warning system"	0.0594603
"military unit"	0.0591311
airbase	0.0587309
hotline	0.0586803
radar	0.058659
infantry	0.0584531
"artillery unit"	0.0572583
substation	0.0571496
"telephone exchange"	0.0569766
"weather station"	0.0569372
laboratory	0.0563298
picket	0.0562509
"parking area"	0.0561376
"control room"	0.055954
armor	0.0558601
"reserve fund"	0.0556767
"firing range"	0.0555204
dormitory	0.0550899
"contingency plan"	0.0550617
paratrooper	0.0549324
Brigade	0.0548392
detachment	0.0547015
warplanes	0.0541847
"U.S. Embassy"	0.054058
sentry	0.0538532
spokesmen	0.053833
"psychiatric hospital"	0.0535662
sanitarium	0.0535477
"rocket launcher"	0.0534537
convoy	0.0533798
"communication system"	0.053285
"power plant"	0.0530068
Fort	0.0526251
"shopping center"	0.0524499
clearinghouse	0.0524106
reconnaissance	0.052393
semitrailer	0.0523535
"medical center"	0.0521417
"communications network"	0.0519641
UNIFIL	0.0519086
brothel	0.0518521
sniper	0.05176
ensign	0.0516164
"supply line"	0.0515409
"power grid"	0.0515189
"defense system"	0.051491
"surveillance system"	0.0514844
"military hospital"	0.0509474
"air power"	0.0509307
"printing press"	0.0506304
"employment agency"	0.0505561
airstrip	0.0504788
"polling station"	0.0503087
dispatcher	0.0502689
"day camp"	0.0501392
kiosk	0.0496822
campsite	0.0494848
storehouse	0.0493786
beachhead	0.0493711
"place of worship"	0.0491113
"exhibition hall"	0.0491033
transformer	0.049031
"post office"	0.0490289
"navy base"	0.0484639
"shooting range"	0.0484424
"development center"	0.0481677
"Fort Lewis"	0.0479185
ex-convicts	0.0475388
"communication network"	0.0474849
mortuary	0.0474355
cordon	0.047398
"surface ship"	0.0472775
soliders	0.0471735
Spillway	0.0471118
"control system"	0.0470145
"storage area"	0.0470125
"dairy farm"	0.0467323
hub	0.0465874
"railway station"	0.0465473
enclave	0.0464751
battalion	0.0464349
firehouse	0.0464138
mortar	0.0463966
refinery	0.0462128
"Andrews Air Force Base"	0.0461782
"medical officer"	0.0461705
"art gallery"	0.0460939
"pumping station"	0.0460731
commando	0.0460128
weaponry	0.0459859
shrine	0.0459645
"torture chamber"	0.0457538
"Mission Control"	0.045473
"research center"	0.0452842
"blood bank"	0.0452745
preparedness	0.0451674
observatory	0.0450506
granary	0.0450324
sanctuary	0.0450117
"control tower"	0.0449274
mosque	0.0448648
"conference center"	0.0448431
Bund	0.0447703
"office block"	0.0447228
"building site"	0.0445019
orphanage	0.0444817
"public toilet"	0.0443714
"military police"	0.0443223
dispensary	0.0443062
"filling station"	0.0442889
lair	0.0442702
"polling place"	0.0441531
"communications equipment"	0.044124
armament	0.0439002
shack	0.0437395
conscript	0.0436883
distillery	0.0436807
"trading post"	0.0436605
ammunition	0.043607
heliport	0.0435526
"intelligence agent"	0.0435489
centre	0.0435205
launcher	0.0435204
"head office"	0.0434335
jeep	0.0433899
"staff officer"	0.0432858
"polling booth"	0.0432647
"British Embassy"	0.0432358
"community center"	0.0429292
emplacement	0.0428842
storeroom	0.0428699
Directorate	0.0428302
hangar	0.0427554
"industrial park"	0.0426951
jetty	0.0426441
materiel	0.0425921
minibuses	0.0424611
"nerve center"	0.0424556
waterworks	0.0424454
"U.N. Interim Force in Lebanon"	0.0423634
"sphere of influence"	0.0423498
spas	0.0423486
Secretariat	0.0422723
smelters	0.042224
"monitoring program"	0.0419928
wharf	0.0419805
lockup	0.0419591
trench	0.0419449
"athletic facility"	0.0419387
))
(commandant (desc 6430.04) (sims
"Dinko Sakic"	0.109545
warden	0.0967466
commander	0.0958544
"lieutenant general"	0.085477
"postmaster general"	0.0842421
"fire chief"	0.0834661
"commanding officer"	0.0821586
"solicitor general"	0.0819296
"brigadier general"	0.0807006
Admiral	0.0804074
"political commissar"	0.0791739
superintendent	0.0760683
"commander in chief"	0.0755971
"surgeon general"	0.0754334
Registrar	0.072305
"naval officer"	0.071928
scoutmaster	0.0713108
"Secretary of Defense"	0.0707237
"school superintendent"	0.0688436
Colonel	0.0683996
rector	0.0676091
infantryman	0.0666127
D.A.	0.0662806
"state's attorney"	0.0641078
"lieutenant colonel"	0.0640274
"school principal"	0.0637643
"chairman emeritus"	0.062947
attorney-General	0.0626457
concertmaster	0.06234
"chief of staff"	0.0617569
prefect	0.0611716
corporal	0.0610939
headmaster	0.0606365
Postmaster	0.060399
"staff sergeant"	0.0603706
"public defender"	0.059952
constable	0.0598595
"Peter Verniero"	0.059489
"medical examiner"	0.0594886
attache	0.0588664
"business editor"	0.0587837
"general staff"	0.0580206
"concentration camp"	0.0578311
"executive secretary"	0.0574395
"police chief"	0.0573297
"intelligence officer"	0.0571389
"vice chancellor"	0.0566963
"Secretary- General"	0.0564587
"district attorney"	0.0563711
cadet	0.0563445
"drug czar"	0.0561939
"Secretary of Commerce"	0.0552275
aviator	0.0541008
medic	0.0540489
"test pilot"	0.0539887
Procurator	0.0539772
"inspector general"	0.053674
Comptroller	0.0535942
"military attache"	0.0533106
"art director"	0.0531276
"executive officer"	0.0529892
"police captain"	0.0527635
"baseball coach"	0.0527124
bailiff	0.0526674
treasurer	0.052463
"Fatos Nano"	0.0516051
"army officer"	0.0513721
"chief administrative officer"	0.0510364
"sports editor"	0.050892
consul	0.0506143
headmistress	0.0502513
propagandist	0.050216
"intelligence agent"	0.0501244
chaplain	0.0497614
"deputy director"	0.0492296
"police sergeant"	0.0487978
Westendorp	0.0483685
"football coach"	0.0482764
"military officer"	0.0478984
dean	0.0477729
vice-mayor	0.0475879
director-general	0.0473372
"Richard Blumenthal"	0.0472689
"general counsel"	0.0471421
Provost	0.0470942
solicitor	0.0468432
Wiranto	0.046711
"Igor Sergeyev"	0.046671
undersecretary	0.0465851
"English teacher"	0.0465477
Sheriff	0.0459721
marshal	0.0459273
second-in-command	0.0458787
"military headquarters"	0.0458492
"police lieutenant"	0.0458296
"Attorney General"	0.0455435
TORTURER	0.0454884
"gas chamber"	0.0454303
Sergeant	0.0451853
Yastrzhembsky	0.0451797
"government minister"	0.0451197
"chairman of the board"	0.0450828
"major leaguer"	0.0450287
encirclement	0.044919
"Infantry Battalion"	0.0448959
"special agent"	0.044777
valedictorian	0.04451
"Pervez Musharraf"	0.0444993
Borodin	0.0444924
"Manuel Noriega"	0.0443787
"traveling salesman"	0.0443379
"funeral director"	0.044299
"Black Panther"	0.044147
"high commissioner"	0.0440798
"financial officer"	0.044052
"Norman Schwarzkopf"	0.0440467
Maskhadov	0.0438151
Ombudsman	0.0438121
Lieutenant	0.0438089
"air force officer"	0.0437657
archivist	0.0437331
"medical officer"	0.0436669
"Northern Fleet"	0.0434963
inspectorate	0.0434486
infirmary	0.0432082
pastor	0.0432012
"managing editor"	0.043112
"military leader"	0.0430813
"high command"	0.0429822
"graduating class"	0.0429043
Councilman	0.0427817
"security adviser"	0.0427417
player-coach	0.042739
"Omar Torrijos"	0.0426436
editor-in-chief	0.0426223
"deputy foreign minister"	0.0424985
"Shamil Basayev"	0.0423382
"information officer"	0.0422237
Deacon	0.0421806
"Bill Lockyer"	0.0421536
"American Legion"	0.0421519
bookkeeper	0.0420742
"military man"	0.0418181
"department head"	0.0417316
"math teacher"	0.0416587
"Henry Shelton"	0.0416571
co-chairmen	0.0413901
"newspaper editor"	0.0413821
surgeon	0.0413245
"Adolf Eichmann"	0.0413215
"lieutenant governor"	0.0413014
"chief of state"	0.0412901
newspaperman	0.041185
storming	0.0411689
"Defense Agency"	0.0411551
Magistrate	0.0411549
co-director	0.0411418
"Revolutionary Guards"	0.0409918
"sales manager"	0.0408948
manger	0.0408893
batboy	0.0407358
paraplegic	0.0406728
Councilor	0.0406663
"South Lebanese Army"	0.0406375
"coal miner"	0.0406127
"artillery unit"	0.0405281
shipbuilder	0.04048
auditor-general	0.0404029
Ghalib	0.0403279
"sounding board"	0.0402371
"press secretary"	0.0402271
vice-president	0.0401658
))
(commander (desc 122411) (sims
chief	0.196414
"commander in chief"	0.188149
officer	0.183708
General	0.170387
"chief of staff"	0.162358
leader	0.151237
soldier	0.144746
Colonel	0.142612
"military officer"	0.140031
minister	0.136772
official	0.135146
"military leader"	0.129627
Ambassador	0.124014
secretary	0.12336
member	0.123059
troop	0.121896
diplomat	0.121551
"army officer"	0.120941
President	0.118645
representative	0.118461
command	0.117511
"cabinet minister"	0.11656
"commanding officer"	0.116094
"general staff"	0.11558
Admiral	0.115332
"foreign minister"	0.114542
commissioner	0.114433
"Javier Solana"	0.114031
force	0.112497
"secretary of state"	0.112139
rebel	0.111599
"head of state"	0.11145
pilot	0.111213
deputy	0.111192
army	0.107595
"finance minister"	0.107589
"political commissar"	0.107554
envoy	0.107406
Governor	0.107304
Sergeant	0.105456
"political leader"	0.105113
personnel	0.10262
administrator	0.102399
authority	0.101703
guerrilla	0.100817
Secretary-General	0.100213
Lieutenant	0.100211
fighter	0.0999401
captain	0.099667
Wiranto	0.097946
Premier	0.0977751
prosecutor	0.0977748
spokesman	0.0975796
Mayor	0.0973994
negotiator	0.0970305
battalion	0.0969486
"inspector general"	0.0969378
chairman	0.0965445
police	0.0961177
commandant	0.0958544
headquarter	0.0954227
Brigade	0.0940445
director	0.0938503
"intelligence officer"	0.0934609
"Kofi Annan"	0.0931569
aide	0.092575
"deputy foreign minister"	0.0922971
government	0.0921755
"vice president"	0.0921732
legislator	0.0921467
manager	0.0918965
"police chief"	0.0917384
ally	0.0917308
policemen	0.0915151
lawmaker	0.0913554
peacekeeper	0.0911211
Speaker	0.0906883
judge	0.0906331
military	0.0904714
"police officer"	0.0901
doctor	0.0898582
politician	0.0885568
supervisor	0.0885249
superintendent	0.0880762
militia	0.0880483
"William Cohen"	0.087922
delegation	0.086275
Attorney	0.0856393
"Wesley Clark"	0.0850922
executive	0.0849082
servicemen	0.0848488
Arafat	0.084732
head	0.0843352
"security force"	0.0839738
senator	0.0838973
militiamen	0.0838845
journalist	0.0829848
faction	0.0828914
mediator	0.0827931
inspector	0.082772
controller	0.0827371
militant	0.0827233
"armed forces"	0.082445
civilian	0.082053
leadership	0.0814566
observer	0.0813204
Annan	0.0809472
"high command"	0.0808871
marine	0.0807412
staff	0.0803216
crew	0.0801635
adviser	0.0796387
Chancellor	0.0794299
"chief executive"	0.0790751
commando	0.0790522
activist	0.0789271
agent	0.0787281
"Benjamin Netanyahu"	0.0787101
Yeltsin	0.0786924
investigator	0.0783422
warlord	0.0782897
undersecretary	0.0782235
lawyer	0.0781813
"Air Force"	0.0781159
delegate	0.0780536
expert	0.0780317
unit	0.077682
policeman	0.0773768
veteran	0.077308
group	0.0772583
ministry	0.0770273
ECOMOG	0.0770139
bishop	0.0768077
"chief justice"	0.0762921
ruler	0.0761004
"Yevgeny Primakov"	0.0757539
Albright	0.0757117
"military personnel"	0.0752753
"Ehud Barak"	0.0751361
"Hun Sen"	0.0748502
"managing director"	0.0748364
scientist	0.0747961
"general secretary"	0.0746755
"business leader"	0.0745828
banker	0.0743797
NATO	0.0742875
administration	0.0741125
regulator	0.0740453
man	0.0739978
businessmen	0.0739877
"Janet Reno"	0.07395
Barak	0.0739408
Milosevic	0.0739187
"federal official"	0.0739121
citizen	0.0737746
"naval officer"	0.0737312
vice-president	0.0735741
"general manager"	0.0735058
"crew member"	0.0734611
Netanyahu	0.0734293
"high commissioner"	0.0733268
"staff member"	0.0731843
engineer	0.0731227
advisor	0.073051
Moi	0.0728211
supporter	0.0721933
Sharif	0.0721411
"Tony Blair"	0.0720601
dissident	0.0720024
"Prime Minister"	0.0719162
parliamentarian	0.0719096
terrorist	0.0718924
treasurer	0.0714943
"council member"	0.0714779
U.N.	0.0714753
coordinator	0.0714727
contingent	0.0711201
Primakov	0.0709345
Congressman	0.0708446
MP	0.070838
agency	0.0707894
employee	0.0707617
prisoner	0.0704122
"military force"	0.0702549
Magistrate	0.0702271
defendant	0.0701369
gunmen	0.0699443
navy	0.0699067
"security adviser"	0.0698912
"Secretary General"	0.0697988
paratrooper	0.0697568
Prince	0.0693298
worker	0.0691768
sailor	0.0691689
astronaut	0.0691458
editor	0.0688971
Council	0.068688
Cohen	0.0686773
Serbs	0.0686348
"Nawaz Sharif"	0.0683549
))
("commander in chief" (desc 22242) (sims
commander	0.188149
"chief of staff"	0.136135
"head of state"	0.108851
Admiral	0.106633
chief	0.103909
General	0.0996627
"surgeon general"	0.0978375
"general staff"	0.0974162
"lieutenant general"	0.0966043
"political commissar"	0.0901784
"chief justice"	0.0897514
"crown prince"	0.0892412
minister	0.086902
"Yoshiro Mori"	0.0856356
Ambassador	0.0850134
undersecretary	0.0844331
secretary	0.0842934
"foreign minister"	0.0837829
Premier	0.0830136
"secretary of state"	0.082774
"finance minister"	0.0822423
"deputy foreign minister"	0.0821724
"inspector general"	0.0816749
"Chuan Leekpai"	0.0809747
"military leader"	0.0804192
director-general	0.0803781
Colonel	0.0798343
vice-president	0.0798173
Wiranto	0.0791674
Secretary-General	0.0789803
chairman	0.0788873
"vice chairman"	0.078373
mediator	0.0781714
"general secretary"	0.0777799
"Chavalit Yongchaiyudh"	0.0776563
"Jordanian King Abdullah Bin Hussein"	0.0768074
"chairman of the board"	0.0764353
Governor	0.076068
"high command"	0.0758264
commandant	0.0755971
"William Cohen"	0.0755306
"Wlodzimierz Cimoszewicz"	0.0738845
officer	0.0737434
"President Kim Young-sam"	0.0737072
"commanding officer"	0.0736382
"deputy chairman"	0.07278
treasurer	0.0727333
"managing director"	0.0722817
"vice president"	0.0721815
"Prime Minister"	0.0720924
Chancellor	0.072061
"Phan Van Khai"	0.0718979
"Javier Solana"	0.0716254
"military officer"	0.0716177
"executive secretary"	0.0710496
"Than Shwe"	0.0709564
Speaker	0.0705744
"chief executive"	0.0705714
"Secretary of Defense"	0.0705506
"chief operating officer"	0.0700823
"Viktor Chernomyrdin"	0.0699115
"deputy director"	0.069041
"Aslan Maskhadov"	0.0673788
"cabinet minister"	0.0672122
"Yevgeny Primakov"	0.0671114
"Secretary General"	0.0670477
chairperson	0.0668897
"first lady"	0.0667634
superintendent	0.0666946
commissioner	0.0663652
"Meles Zenawi"	0.0663478
"Vladimir Putin"	0.0660754
"Bashkim Fino"	0.0659726
"Jose Maria Aznar"	0.0658796
"Olusegun Obasanjo"	0.0653113
"Vo Van Kiet"	0.0652563
"Prime Minister Banharn Silpa-Archa"	0.0651427
"chief executive officer"	0.064853
"security adviser"	0.0647384
"H.D Deve Gowda"	0.0641838
Archbishop	0.0636982
Mayor	0.0634883
Lieutenant	0.0633461
al-Bashir	0.0633296
advisor	0.0632749
"governor general"	0.0632294
Comptroller	0.0627748
"Wesley Clark"	0.0627413
Nazarbayev	0.0627107
"Lamberto Dini"	0.0625829
"music director"	0.0625652
"Jacques Chirac"	0.0621094
"Sergei Kiriyenko"	0.0620166
envoy	0.0619986
ruler	0.0618722
"Maung Aye"	0.0618615
Moi	0.0618376
deputy	0.0614206
"Romano Prodi"	0.061357
"Ariel Sharon"	0.0612576
CEO	0.0611653
"Atal Bihari Vajpayee"	0.0609881
"Li Peng"	0.0607336
Al-Sabah	0.0606612
chaplain	0.0605433
"enlisted man"	0.0603489
president-elect	0.0603457
"Benazir Bhutto"	0.0602683
el-Ganzouri	0.0602381
Dae-jung	0.0602225
"Keizo Obuchi"	0.0601057
"Antonio Guterres"	0.0599802
"Chief Executive Tung Chee-hwa"	0.0598989
"Necmettin Erbakan"	0.059839
"Bill Lann Lee"	0.059825
"President Kim Dae-jung"	0.0595205
"postmaster general"	0.0592468
second-in-command	0.0590403
"Pascoal Mocumbi"	0.0589074
"Rafik Hariri"	0.0587864
infantryman	0.0587031
"Mesut Yilmaz"	0.058697
"Ibrahim Rugova"	0.0586619
"brigadier general"	0.0586564
"chief financial officer"	0.0586312
"Richard Blumenthal"	0.0585704
vice	0.0585587
emir	0.0584353
"Secretary-General Boutros Boutros-Ghali"	0.0583894
"Ivan Kostov"	0.0582592
"Minister Shlomo Ben-Ami"	0.0582441
statesman	0.0581596
"chief of state"	0.057951
"Jacques Santer"	0.0578963
"lieutenant colonel"	0.0576676
"intelligence officer"	0.0576675
"Valery Pustovoitenko"	0.057433
"Jean Chretien"	0.0574275
"Binyamin Netanyahu"	0.0572989
editor-in-chief	0.0572903
dean	0.0572814
Wahid	0.0571776
"Inder Kumar Gujral"	0.057083
Al-Thani	0.0570196
vice-chairman	0.0568974
senator	0.056843
Counsel	0.0567485
dictator	0.056733
figurehead	0.0567164
"Paavo Lipponen"	0.0566724
"Pandeli Majko"	0.0565369
Vice-Premier	0.0565004
"Yitzhak Mordechai"	0.0564674
command	0.0564559
"Kofi Annan"	0.0561175
"King Norodom Sihanouk"	0.0560699
chairmen	0.0560256
"Defense William Cohen"	0.0560131
"Goh Chok Tong"	0.0559819
"lieutenant governor"	0.0559619
facilitator	0.0559526
Councillor	0.0558585
"Eric Holder"	0.0558212
"Gro Harlem Brundtland"	0.055731
"Prime Minister Kamal El-Ganzouri"	0.0556195
co-chairmen	0.0555196
negotiator	0.055356
"Jiang Zemin"	0.0553471
"managing editor"	0.0552756
co	0.0552415
"Costas Simitis"	0.0552204
"Secretary of Commerce"	0.0551097
al-Assad	0.0550496
"Ratko Mladic"	0.0550419
"Gerry Adams"	0.0549971
"Chea Sim"	0.0549952
"Nawaz Sharif"	0.0549008
"Marzuki Darusman"	0.0547733
"drug czar"	0.0547564
"general manager"	0.0547376
"Southern Command"	0.0543567
Guardian	0.054301
diplomat	0.0541426
"Jenny Shipley"	0.0541001
"King Abdullah II"	0.0540632
"Henry Shelton"	0.0540557
"naval officer"	0.0540343
"Hosni Mubarak"	0.0539547
"King Fahd"	0.053858
Dehaene	0.0537309
consul	0.0536443
"vice chancellor"	0.053508
"Secretary- General"	0.0534272
"Shimon Peres"	0.0534094
"King Sihanouk"	0.053298
"John Howard"	0.0532858
peacemaker	0.0532381
"football coach"	0.0529023
"presiding officer"	0.0528993
Primakov	0.0528755
))
("commanding officer" (desc 5692.48) (sims
commander	0.116094
"political commissar"	0.107906
"postmaster general"	0.0936083
"executive officer"	0.087973
"naval officer"	0.0853449
commandant	0.0821586
Musa	0.0775894
"fire chief"	0.0765361
"staff officer"	0.0745526
prefect	0.0738639
"commander in chief"	0.0736382
"Vladimiro Montesinos"	0.069691
"army officer"	0.0692998
supervisor	0.0670439
Sergeant	0.0668434
"solicitor general"	0.0666471
"inspector general"	0.0659838
"government minister"	0.0657403
"military leader"	0.0654018
warden	0.0652385
scoutmaster	0.064909
Wiranto	0.06423
"enlisted man"	0.0637235
"medical officer"	0.0636002
Dodik	0.0633898
"special agent"	0.0631623
Admiral	0.0616737
administrator	0.0616732
"Klaus Naumann"	0.0608597
"chief of staff"	0.060749
Ruehe	0.0600785
"police chief"	0.0597552
"Pervez Musharraf"	0.0595666
Napolitano	0.0590138
Colonel	0.0588588
"brigadier general"	0.0588377
"intelligence officer"	0.0586451
"Wlodzimierz Cimoszewicz"	0.0583159
constable	0.0578186
"guard of honor"	0.0576811
"school superintendent"	0.0576514
attache	0.0575613
Lamberth	0.0575161
"Lino Oviedo"	0.0574132
"financial officer"	0.0574084
airmen	0.0569623
chaplain	0.0565655
"surgeon general"	0.0564723
rector	0.0563342
"Richard Blumenthal"	0.055752
"Bill Lann Lee"	0.055129
Fernandes	0.0551161
patrolmen	0.0547375
crewmen	0.0546982
second-in-command	0.0545703
director-general	0.0541783
headmaster	0.0541526
"Aslan Maskhadov"	0.0540817
dispatcher	0.0540403
"Javier Solana"	0.0537793
"Peter Verniero"	0.0537111
"deputy general manager"	0.0535687
"military officer"	0.0532247
Bhattarai	0.0528755
CPSC	0.0525753
"Bill Lockyer"	0.052482
Rodionov	0.0524536
"Chea Sim"	0.0523402
"Ramsey Clark"	0.052073
Lieutenant	0.0519214
"Shamil Basayev"	0.0518203
"deputy director"	0.051647
co-pilot	0.0515518
"chief scientist"	0.0514211
Strauss-Kahn	0.0514101
"Secretary of Defense"	0.0513178
abbot	0.0512068
"Orlando Mercado"	0.0511836
subordinate	0.0511443
Alarcon	0.0509046
Alatas	0.0507629
infantryman	0.0503739
commando	0.0501819
"Renato Ruggiero"	0.0499075
"drug czar"	0.0498829
"military attache"	0.0496966
Aguirre	0.0496803
"district attorney"	0.0496654
Postmaster	0.0496275
"chief of state"	0.0495321
"air force officer"	0.0495081
chairperson	0.0494678
"state's attorney"	0.0494101
Ghalib	0.0493708
Magistrate	0.0493707
policeman	0.0493645
"Abu Mazen"	0.0493595
Bruton	0.0493007
aviator	0.0492809
Orban	0.0492286
"Joel Klein"	0.0491834
Advani	0.0491054
Rakhmonov	0.0490783
"Eric Holder"	0.0490433
"project manager"	0.0490153
Bulatovic	0.0490021
patrolman	0.0489643
"Chuan Leekpai"	0.0489087
corporal	0.0487997
"cabinet minister"	0.0487625
"deputy director-general"	0.0486531
"vice chancellor"	0.0484714
servicemen	0.0483257
ensign	0.048304
"Wesley Clark"	0.0482631
"lieutenant colonel"	0.0482446
"Wim Duisenberg"	0.0482232
crewmembers	0.0481114
"crew member"	0.047969
"military unit"	0.0479414
Karimov	0.0478754
"Attorney General"	0.0477442
"business editor"	0.0475968
"managing editor"	0.0475699
"newspaper editor"	0.0475206
"Martin McGuinness"	0.047387
"director of research"	0.0473103
"group president"	0.0472754
"Secretary of Commerce"	0.0471473
Abdel-Meguid	0.0469921
Rossotti	0.0468737
rabbi	0.0468354
Komura	0.0466901
undersecretary	0.0466128
"Fatos Nano"	0.0465532
Carollo	0.046552
co-head	0.0464033
"Barry McCaffrey"	0.0464033
Shevardnadze	0.0463554
"school principal"	0.046025
Yadav	0.0459603
superintendent	0.0459548
"general counsel"	0.0458721
"Financial Supervisory Agency"	0.04587
attorney-General	0.0458474
mufti	0.0457653
concertmaster	0.0457339
"executive secretary"	0.0453843
"George Robertson"	0.0453501
"Minister Shlomo Ben-Ami"	0.0453145
crewmates	0.0452989
"altar boy"	0.0452502
Koirala	0.0452425
bailiff	0.0452335
Stahl	0.0451954
"Ratko Mladic"	0.0451866
Kazhegeldin	0.045132
"Bill Skate"	0.0451205
"business executive"	0.0450332
"Defense William Cohen"	0.0450058
"police sergeant"	0.0448308
jailer	0.0446138
copywriter	0.0445362
"Dan Morales"	0.0444849
editor-in-chief	0.044429
"South Pacific Forum"	0.0443628
"cabinet member"	0.0442836
overseer	0.0442373
Comptroller	0.0441261
Jovanovic	0.0440483
soliders	0.0440304
"law officer"	0.0440288
"Nuon Chea"	0.0439497
"prison guard"	0.0439296
"department employee"	0.0438836
Baer	0.0438523
counsellor	0.0438095
resister	0.0438083
"police detective"	0.0438002
Klerk	0.0435717
"Chavalit Yongchaiyudh"	0.0434838
operative	0.0434388
"union representative"	0.0434335
TORTURER	0.0434291
"police lieutenant"	0.043368
DiCarlo	0.0433538
Commissar	0.0433275
"top officer"	0.0433135
Kasoulides	0.0432994
parliamentarian	0.0432374
"Cindy McCain"	0.0431202
Trulock	0.0430328
Velayati	0.0430176
"Ray Evernham"	0.0429947
cadet	0.0429331
detective	0.0429265
"Princess Anne"	0.042851
cinematographer	0.0427542
Lipponen	0.0427164
appointee	0.0426634
))
(commandment (desc 7689.8) (sims
"Ten Commandments"	0.151881
tenet	0.0821152
"golden rule"	0.0793291
precept	0.0738639
double-double	0.0718467
inning.	0.0630323
bylaw	0.0629237
teaching	0.0586853
triple-double	0.058066
"basic principle"	0.0577587
axiom	0.0575907
"fundamental principle"	0.0574723
admonition	0.0570178
"major league season"	0.0567864
grader	0.0567463
creationism	0.0565999
dictum	0.0560891
prophet	0.0552554
"antitrust law"	0.0552224
"wedding anniversary"	0.0550513
"code of conduct"	0.0539139
Scripture	0.0533544
doctrine	0.053215
"law of nature"	0.0525787
"Title VII"	0.0522237
lockbox	0.050846
"criminal law"	0.0504247
"U.S. Constitution"	0.0502498
"talking point"	0.0498473
edict	0.0495629
top-@@	0.0487183
philosophy	0.0483594
motto	0.0483015
"Earth Day"	0.0481149
"legal principle"	0.0475005
stricture	0.0474892
signer	0.0471549
"Plenary Session"	0.0470762
proclamation	0.0470323
"letter of intent"	0.0468434
covenant	0.0467383
"United Nations Charter"	0.0467222
"Panchen Lama"	0.0466363
"major-league team"	0.0465701
apostle	0.0460937
Torah	0.0460432
psalm	0.0458474
Ordinance	0.0457858
"Fifth Amendment"	0.0456514
"day of the week"	0.0456067
"Lusaka Peace Accord"	0.045044
norm	0.0448427
inductees	0.044542
directive	0.0444189
taboo	0.0443971
proverb	0.0440061
"First Amendment"	0.0439716
Koran	0.0437097
teachings	0.0428652
"secret plan"	0.0428536
quotation	0.0427786
"law of the land"	0.0424393
paragraph	0.0421938
theology	0.0419448
stipulation	0.0418578
"speed limit"	0.0417558
"Article @@@"	0.0416783
"Fourth Amendment"	0.0416302
plank	0.0415658
adage	0.041378
calling	0.0412264
curfew	0.0411477
ethic	0.0409542
"World Conference"	0.0408837
"Title IX"	0.0407753
statute	0.0405607
shalt	0.0404774
"major leaguer"	0.0404081
"piece of music"	0.0403669
criteria	0.0403656
))
(commando (desc 17014.3) (sims
paratrooper	0.161351
policemen	0.155599
"military police"	0.148784
soldier	0.136183
guerrilla	0.133381
"security force"	0.132211
infantry	0.131321
gunmen	0.129192
servicemen	0.127801
marine	0.124447
militant	0.122758
troop	0.121812
militiamen	0.120404
airmen	0.120275
"federal agent"	0.119241
"intelligence agent"	0.118115
guerilla	0.114409
"army officer"	0.112191
"patrol boat"	0.112073
fighter	0.111546
battalion	0.110147
paramilitary	0.110029
rebel	0.109374
soliders	0.106604
"military personnel"	0.106455
trooper	0.105368
medic	0.104778
"military unit"	0.104232
police	0.103903
infantrymen	0.103308
peacekeeper	0.102095
assailant	0.101656
Gendarme	0.101553
gunship	0.100669
tribesmen	0.100643
vigilante	0.100459
firemen	0.0995435
"police officer"	0.0993153
bandit	0.099189
rescuer	0.0991631
mercenary	0.0990976
"fire fighter"	0.0989424
warship	0.0983948
diver	0.0971404
army	0.0970272
Brigade	0.0967448
militia	0.0966819
sniper	0.0964287
"intelligence officer"	0.0962234
reservist	0.0961626
"military officer"	0.0961454
"FBI agent"	0.0958159
attacker	0.0958153
bomber	0.0956855
personnel	0.0951317
terrorist	0.0949955
paratroops	0.0944799
gunboat	0.0943556
"secret agent"	0.0935431
"special agent"	0.0927064
"National Guard"	0.0926283
officer	0.0925813
squad	0.0925202
armymen	0.0917087
patrol	0.091173
policeman	0.0909775
firefighters	0.0908794
serviceman	0.0905335
extremist	0.0904225
sailor	0.0894836
helicopter	0.0886291
warplanes	0.0885141
"Delta Force"	0.0885121
Hijacker	0.0884642
civilian	0.0883376
"border patrol"	0.0870375
LRA	0.0868775
artillery	0.0861165
cavalry	0.0857378
Sergeant	0.0856077
insurgent	0.0851121
gendarmerie	0.0851119
fighter-bombers	0.0845188
parachutist	0.08373
"Coast guard"	0.0835008
gangster	0.0834577
"National Guardsmen"	0.0832551
"security guard"	0.0826902
crewmen	0.0826227
thug	0.082467
"military man"	0.0817317
cadet	0.0816952
infiltrator	0.0815277
frogmen	0.0811279
detachment	0.0807828
fire-fighter	0.0805045
marshal	0.0803987
"secret police"	0.0802649
robber	0.0802184
operative	0.0799782
kidnapper	0.0797246
villager	0.0796757
unit	0.0796001
"military force"	0.0793044
"police force"	0.0792369
commander	0.0790522
"Revolutionary Guards"	0.0789416
bodyguard	0.0785457
gunman	0.078433
gunner	0.0782436
"prison guard"	0.0780422
troops	0.0771109
Regiment	0.0770975
protestor	0.07706
"Air Force"	0.0770563
Gi	0.0770094
abductor	0.0763238
pilot	0.0762108
aviator	0.0753504
Kamajors	0.0746424
agent	0.0746111
"honor guard"	0.0746056
crewman	0.0742785
SLA	0.0740626
gang	0.0737477
NPA	0.0732722
spy	0.0732058
navy	0.0731133
"patrol ship"	0.072992
Apaches	0.0727844
deserter	0.0724566
detective	0.0722872
reinforcement	0.0722555
separatist	0.0720465
Interahamwe	0.0718456
KLA	0.0717553
"air force officer"	0.071661
"enlisted man"	0.071217
"South Lebanon Army"	0.0711079
captor	0.0705643
rustler	0.0704138
comrade	0.0704113
"Special Forces"	0.0702864
guard	0.0701301
conscript	0.0698942
"crew member"	0.0696552
"armed forces"	0.0695845
"Abu Sayyaf"	0.0695813
military	0.0692111
settler	0.0691924
submariner	0.0691653
diplomat	0.0691025
seamen	0.0687869
"Yugoslav Army"	0.0685438
paramedic	0.06854
Lieutenant	0.0684894
squatter	0.0684609
contingent	0.0682498
militiaman	0.0681795
SFOR	0.0680854
"fire brigade"	0.0675267
squadron	0.0674978
warplane	0.067339
"security staff"	0.0671887
"prisoner of war"	0.0669849
Hezbollah	0.066827
renegade	0.0664204
"military vehicle"	0.0659372
"U.S. Coast Guard"	0.0658345
investigator	0.0654265
frigate	0.06531
stone-throwers	0.0652994
protester	0.0651954
combatant	0.0650217
"fire engine"	0.064856
"naval forces"	0.0648037
"Republican Guard"	0.064583
Ambulance	0.0645427
"New People's Army"	0.0642649
Colonel	0.0642565
dissident	0.0642468
crew	0.0638895
aircraft	0.0634431
cadre	0.0630721
demonstrator	0.0630376
journalist	0.0628499
"intelligence analyst"	0.0628042
mushers	0.062421
LTTE	0.0621676
"Kosovo Liberation Army"	0.0621411
constable	0.0620064
assassin	0.0617553
tribesman	0.0616972
"military band"	0.0615726
prisoner	0.0615621
"lieutenant colonel"	0.0615566
"naval officer"	0.0613926
"Royal Navy"	0.0613904
"transport ship"	0.0613367
corps	0.0613147
))
(commemoration (desc 18442.4) (sims
celebration	0.156839
observance	0.144602
anniversary	0.135566
festivity	0.135028
ceremony	0.0987179
gathering	0.0971629
vigil	0.0944294
reenactment	0.0907368
memorial	0.0904165
gala	0.0888559
remembrance	0.0874394
luncheon	0.0852286
"summit meeting"	0.0836364
inauguration	0.0820759
funeral	0.0813811
parade	0.0782616
bash	0.0777262
symposium	0.0775496
festival	0.0772758
reunion	0.077261
banquet	0.0762611
"World Environment Day"	0.0751344
jubilee	0.0740625
summit	0.072573
occasion	0.0722993
"news briefing"	0.0720049
convocation	0.0716508
demonstration	0.0710234
eve	0.0709741
"committee meeting"	0.0706941
"World AIDS Day"	0.069773
conference	0.0694713
Centenary	0.0688273
procession	0.0686579
unveiling	0.0686275
Roundtable	0.0686159
"prayer service"	0.0682707
"Millennium Summit"	0.0677533
commencement	0.0674506
"wedding ceremony"	0.0667366
concert	0.0663521
seminar	0.0662436
"panel discussion"	0.0645322
Exposition	0.0637999
holiday	0.0635628
launching	0.0633629
"International Congress"	0.0629399
"World Congress"	0.0627358
"council meeting"	0.0625062
"International Conference"	0.0624764
"town meeting"	0.0618392
"protest march"	0.0617937
"U.N. Millennium Summit"	0.0614957
"International Symposium"	0.0612891
forum	0.0607727
"press conference"	0.0604405
AMM	0.0601827
"news conference"	0.0599845
dinner	0.0599574
convention	0.0597539
burial	0.059182
Carnival	0.0587976
pageant	0.0582525
extravaganza	0.0577567
"Democratic National Convention"	0.0576777
Exhibition	0.0573806
workshop	0.057188
fund-raiser	0.0571668
swearing-in	0.0571329
"open house"	0.0571109
reception	0.0569262
announcement	0.0565765
auction	0.0565288
centennial	0.0560679
"Fortune Global Forum"	0.0560576
"press briefing"	0.0558818
"victory celebration"	0.0557347
minicamp	0.0556368
"prayer meeting"	0.0553078
"church service"	0.055265
"Republican National Convention"	0.0551746
"work stoppage"	0.0551245
sit-in	0.0549037
two-day	0.0540314
"Earth Day"	0.054021
"dinner party"	0.0538542
soiree	0.0536586
"general assembly"	0.0534776
conclave	0.0533928
"three-day event"	0.0533928
presentation	0.0530816
"national holiday"	0.052882
"East Room"	0.0524121
"war game"	0.0522445
"board meeting"	0.0520204
beatification	0.0518961
"group discussion"	0.0515595
prayer	0.0514344
birthday	0.0514229
breakfast	0.0513902
"Independence Day"	0.051292
pilgrimage	0.0510094
countdown	0.0506843
"hunger strike"	0.0504858
plenum	0.0504537
feast	0.050373
rollout	0.050296
"primary election"	0.0501666
three-day	0.0501308
"summer camp"	0.0500813
"ASEAN Ministerial Meeting"	0.0498553
wedding	0.0495542
"World Economic Forum"	0.0495038
tribute	0.0494971
manoeuvre	0.0492054
graduation	0.0490385
"Asian Games"	0.0487088
"South Summit"	0.0487061
"National Day"	0.0481564
"general election"	0.0479968
APEC	0.0478289
"Spring Festival"	0.0475825
bicentennial	0.0475651
salute	0.0475518
"art exhibition"	0.0474921
"rose garden"	0.0472183
premiere	0.0470649
coronation	0.0470203
wake	0.0468959
"New Year"	0.0466624
briefing	0.0466336
"wedding anniversary"	0.0465762
edition	0.0465022
balloting	0.0458742
regatta	0.0457285
referendum	0.0456459
"cocktail party"	0.0455945
spree	0.0455845
"Special Session"	0.0455037
"Boston Marathon"	0.04546
lecture	0.0454105
rainout	0.0453445
teach-in	0.0452512
roadshow	0.0451083
"tea party"	0.0451059
caucus	0.0450899
"pep rally"	0.0450264
signing	0.0450008
exhumation	0.0449731
enactment	0.0449404
screening	0.0447202
homecoming	0.044649
"Ministerial Meeting"	0.0446323
Expo	0.0445198
five-day	0.0444963
"All-Star Game"	0.0443483
rite	0.0440845
"fund-raising campaign"	0.0439883
"state visit"	0.0439773
vacation	0.0438905
"National Conference"	0.0437711
boycott	0.0436988
Webcast	0.0436714
"Tony Awards"	0.0436677
"Lunar New Year"	0.043627
"Great Hall"	0.0436196
"religious ceremony"	0.0436125
cookout	0.0435637
reunions	0.0433491
"road show"	0.0430868
firework	0.0430852
mini-summit	0.0430607
"Olympic Games"	0.0430068
inaugural	0.0429359
marathon	0.0426787
"X Games"	0.0426234
handover	0.0425773
Assembly	0.0424077
Gaborone	0.0423881
"SEA Games"	0.0422554
spacewalk	0.0421588
"training program"	0.0421254
commissioning	0.0420935
Telecast	0.0419829
voting	0.0419809
picnic	0.041946
"benefit concert"	0.041886
postponement	0.0415155
teleconference	0.0414342
"National Games"	0.0413677
workout	0.041361
proclamation	0.0413357
"military drill"	0.0412937
walkout	0.0412854
riot	0.0410772
doubleheader	0.0410225
aftermath	0.0408065
spate	0.0407962
finale	0.040744
ASEM	0.0407186
))
(commencement (desc 10243.7) (sims
"commencement ceremony"	0.107899
initiation	0.106071
resumption	0.105991
inauguration	0.0936786
graduation	0.0901774
reopening	0.0891856
launching	0.0864416
completion	0.0830703
"National Press Club"	0.0800071
Intensification	0.0769349
keynote	0.0768477
luncheon	0.0720669
adjournment	0.0709197
convening	0.0705483
continuation	0.070166
Cessation	0.0695267
convocation	0.0682903
termination	0.0677962
commemoration	0.0674506
renewal	0.0646634
expiry	0.0645828
re-opening	0.0645336
expiration	0.0641997
"World Environment Day"	0.0640268
anniversary	0.0625662
banquet	0.0625011
"World AIDS Day"	0.0622553
"Independence Day"	0.0611196
Implementation	0.0595535
commissioning	0.057999
"Lunar New Year"	0.0575324
handover	0.0572135
"air force academy"	0.0557162
"Democratic National Convention"	0.055508
cancellation	0.0550392
"starting time"	0.0549284
streamlining	0.0547457
postponement	0.0546524
prom	0.0536589
reunion	0.0535822
rollout	0.0535522
culmination	0.0519105
"National Day"	0.051403
stoppage	0.0513049
"general election"	0.05123
closing	0.051168
swearing-in	0.0511664
induction	0.0509284
rainout	0.0507897
"Veterans Day"	0.0504625
suspension	0.0500994
"committee meeting"	0.0499783
signing	0.0499671
finalization	0.0497098
Eid	0.0496501
"International Day"	0.0495157
duration	0.0495079
scrapping	0.0486245
centennial	0.0483997
weigh-in	0.0480974
plenum	0.047749
deployment	0.047696
"law school"	0.0474646
"council meeting"	0.0474568
restoration	0.0474548
gala	0.0474311
funeral	0.0473869
reorientation	0.046992
"International Congress"	0.0469685
"Republican National Convention"	0.0465217
coronation	0.0464045
closure	0.046389
"graduating class"	0.0461123
symposium	0.0458504
onset	0.0455134
festivity	0.0453334
kickoff	0.0450108
"Tehran University"	0.0447252
accession	0.0446717
acceleration	0.0446606
"Chinese New Year"	0.0445524
wedding	0.0444526
"naval academy"	0.04424
"summit meeting"	0.0441018
linking	0.0440737
Centenary	0.0440659
easing	0.0439126
activation	0.0436679
"first day"	0.043594
"church service"	0.0432092
going	0.0431296
pullout	0.0429382
Easter	0.04276
initiator	0.0425601
"board meeting"	0.0424398
by-election	0.0422766
"May Day"	0.0421069
damming	0.0420509
"football stadium"	0.042007
enactment	0.0418021
dawning	0.0417327
"Bob Jones"	0.0415996
"Cannes Film Festival"	0.0414962
"Millennium Summit"	0.0413497
"Earth Day"	0.0412943
outset	0.0412925
repatriation	0.0412812
ceasefire	0.04123
balloting	0.0411272
AMM	0.0410756
"South Summit"	0.0410466
"preparatory school"	0.0409615
"Boston Marathon"	0.0408986
"senior class"	0.0408734
enrollment	0.0408366
"first two days"	0.0408224
"Annual Meeting"	0.0407592
lifting	0.0407121
"rate increase"	0.0406719
deferment	0.0405279
abolition	0.0402887
insolvency	0.040272
freezing	0.0402647
))
("commencement ceremony" (desc 1030.1) (sims
commencement	0.107899
mini-camp	0.0918627
"victory celebration"	0.0848777
AMM	0.0802745
"School of Public Health"	0.0793817
"graduating class"	0.0779547
"Annual Meeting"	0.076698
"Graduate School of Business"	0.0746885
"garden party"	0.0746877
"Consumer Electronics Show"	0.0715102
"U.S. Naval Academy"	0.0688034
"Republican National Convention"	0.0681305
"football stadium"	0.0675827
"International Conference"	0.0671883
"prayer service"	0.066265
"swim meet"	0.0659766
"prayer meeting"	0.0655375
"Infantry Battalion"	0.065488
"Fortune Global Forum"	0.0652681
"World Conference"	0.065075
"wedding party"	0.0647666
"Democratic National Convention"	0.0646135
"Buick Classic"	0.0634843
"Plenary Session"	0.0628549
"wedding reception"	0.0616347
"air force academy"	0.0614011
"front entrance"	0.0612803
"Ministerial Conference"	0.0610025
"Nissan Open"	0.0609944
"John F. Kennedy School of Government"	0.0609803
"Consultative Group"	0.0606392
"U.S. Senior Open"	0.0603783
IGC	0.0600648
"Special Session"	0.0594431
"World Congress"	0.0578814
"Ministerial Meeting"	0.0576711
weigh-in	0.0572644
"history department"	0.0570604
cookout	0.0568162
"religious ceremony"	0.0565884
"house party"	0.0554494
"International AIDS Conference"	0.0554454
"International Congress"	0.055415
"graduate school"	0.0551268
"South Pacific Forum"	0.054909
grosser	0.0547862
"World AIDS Conference"	0.0542686
"Kennedy School of Government"	0.0540545
bullfight	0.0535893
"basketball season"	0.0535379
"International Symposium"	0.0534831
"economics department"	0.0534183
"religious service"	0.05341
"World Petroleum Congress"	0.0526149
"ASEAN Ministerial Meeting"	0.0525806
game.	0.051827
"Kennedy School"	0.0516279
"military academy"	0.0511922
reenactment	0.0506765
soiree	0.0503925
"English class"	0.0501569
"U.N. Millennium Summit"	0.0499666
"social event"	0.0495836
"tea party"	0.0488145
"senior class"	0.0487207
"seating area"	0.0486777
"football season"	0.0486758
"grammar school"	0.0479125
"District Court"	0.0478426
third-graders	0.0472695
"jazz festival"	0.0472041
convocation	0.0468879
"shooting range"	0.0468652
"Fourth World Conference"	0.0467658
oration	0.0465065
shootaround	0.0462739
SIESTA	0.0460495
"Mastercard Colonial"	0.0460037
"baseball coach"	0.0455808
"World Environment Day"	0.0451876
"bus terminal"	0.0447655
"Millennium Summit"	0.0447
"voting booth"	0.0443899
"New York Film Festival"	0.0442812
"Solheim Cup"	0.0440497
"National Press Club"	0.0440432
"World Food Summit"	0.0438094
"Nevada-Las Vegas"	0.0437976
"Buick Invitational"	0.0436865
"University of South Carolina"	0.0433709
shindig	0.0431485
"preparatory school"	0.0429656
"spelling bee"	0.0429507
confab	0.0426904
fulltime	0.0424526
"police precinct"	0.0420263
matinee	0.041775
"Syracuse University"	0.0417332
"pep rally"	0.0416733
"driving school"	0.0415929
Macworld	0.0414849
"Boston Marathon"	0.0412984
conclave	0.0412815
"freshman class"	0.0412361
"London Marathon"	0.0411711
"Grammy Awards"	0.0408996
percentile	0.0407496
"Infantry Division"	0.0406258
"volleyball player"	0.0404386
cloudiness	0.0403031
coursework	0.0402201
))
(commendable (desc 1184.27) (sims
Trippi	0.233087
"High Yield"	0.179725
"War Chant"	0.153444
Anees	0.125264
"Forest Camp"	0.109904
"Corey Nakatani"	0.107398
"Alex Solis"	0.100587
"Jorge Chavez"	0.0946249
Surfside	0.0924013
"Running Stag"	0.0889876
"Red Bullet"	0.0863833
"Awesome Again"	0.0782895
"Fusaichi Pegasus"	0.0773249
"Answer Lively"	0.0767413
"Cash Run"	0.0751353
"Lemon Drop Kid"	0.07363
aptitude	0.0704022
"Bob Baffert"	0.0616162
"Favorite Trick"	0.0606126
"Desert Hero"	0.0605923
"Jerry Bailey"	0.0596431
"Mike Smith"	0.0595448
Silverbulletday	0.0586101
"first pitcher"	0.0574081
Hal	0.0557585
"Free House"	0.0552578
Szabo	0.0549391
"Victory Gallop"	0.0543821
Biffle	0.0542543
Edberg	0.0541431
Rolen	0.0539306
Tanui	0.0535792
Maruyama	0.0534577
Bodine	0.0530797
"Prime Timber"	0.0519467
twenty-two	0.0515943
Willard	0.050833
Klim	0.0499008
"Real Quiet"	0.0496828
Wondertross	0.049602
"Ecton Park"	0.0482569
"Dale Jr."	0.0480715
Chilukki	0.0478606
"New York-New Jersey MetroStars"	0.0477979
Eldred	0.0466256
"Silver Charm"	0.046545
"Puerto Madero"	0.046268
Godina	0.0462509
"Hugh Hefner"	0.0462033
"River Keen"	0.0460734
"Jearl Miles-Clark"	0.0459481
Menifee	0.045921
"three pitchers"	0.0455393
Neff	0.0452242
Laver	0.04508
"Deon Hemmings"	0.0445954
"El Guerrouj"	0.0443221
"Banshee Breeze"	0.0441057
Gump	0.0440988
"Excellent Meeting"	0.0440866
Boardman	0.0439099
Potvin	0.043662
Capel	0.0434313
Moog	0.0433934
Valhol	0.0430394
"Old Trieste"	0.04301
"Ricky Craven"	0.0427962
Daylami	0.0427639
"Shandong Flaming Bulls"	0.0422319
"A.P Indy"	0.0421963
"government minister"	0.0420725
Scelzi	0.0420712
Samuelson	0.0420148
Cipollini	0.0419724
Muralitharan	0.0417291
McWilliams	0.0417248
Pegasus	0.0414365
"Beautiful Pleasure"	0.0413783
Wakanohana	0.0411376
Lassiter	0.0410288
"Boris Nemtsov"	0.0407952
"Winning Colors"	0.0406384
Ankiel	0.0404783
"Cat Thief"	0.0403233
Harnisch	0.0400525
))
(commendation (desc 4633.82) (sims
"Medal of Honor"	0.104948
"Bronze Star"	0.103466
plaudit	0.0987282
"Silver Star"	0.0892193
accolade	0.0856457
"Purple Heart"	0.0829479
citation	0.0807161
"seal of approval"	0.0749417
"honorable mention"	0.0721585
kudos	0.0719689
"honorary degree"	0.0672168
accreditation	0.0656578
"positive feedback"	0.0647408
"Nobel Peace Prize"	0.0644929
congratulation	0.0631393
authentication	0.0629513
"Legion of Honor"	0.0626346
appreciation	0.0626216
send-off	0.0625369
"Nobel prize"	0.0619906
"Tony Awards"	0.0600883
perquisite	0.0574033
"Distinguished Flying Cross"	0.0572572
encouragement	0.0565525
"all clear"	0.0564627
"cash bonus"	0.0554038
retraction	0.0549279
Emmy	0.0547473
dispensation	0.0543407
"Academy Award"	0.0537422
authorization	0.0532865
snakehead	0.0528425
abatement	0.0515022
"top billing"	0.0511232
"Emmy Award"	0.050899
"tax treatment"	0.0508823
diploma	0.0504874
fillip	0.0504466
"disability benefit"	0.0499311
"Golden Globe"	0.0498084
"bill of health"	0.049789
"Golden Globes"	0.0493875
ovation	0.0485155
Wilhelm	0.0483927
clarification	0.048301
reassurance	0.0482104
naturalization	0.0479704
enshrinement	0.047873
stipend	0.0478456
"form letter"	0.0477445
"marriage proposal"	0.0475664
"one million dollars"	0.0475227
adulation	0.047419
gratitude	0.0471999
feedback	0.0470158
Tonys	0.0468826
"cold shoulder"	0.0465937
assent	0.0464279
acknowledgement	0.0461679
notification	0.0458602
"Tony Award"	0.0457722
bequest	0.0456771
"compromise plan"	0.0454395
comeuppance	0.0453804
"performance evaluation"	0.0450495
rededication	0.0450432
feeler	0.0450354
certification	0.0444306
"secondary education"	0.0441716
absolution	0.0435861
"death benefit"	0.0435193
enquiry	0.0434504
"Pulitzer Prize"	0.0432427
"financial aid"	0.043136
condolence	0.0426242
fellowship	0.0425527
"Grammy Awards"	0.0425006
go-ahead	0.0424471
statuette	0.0423634
"extra points"	0.0422111
airplay	0.0421582
directive	0.0420352
benediction	0.0419912
"Policy Address"	0.0417544
"tax benefit"	0.0412022
"Pulitzer Prizes"	0.041072
sendoff	0.0410681
solicitude	0.0410267
"service contract"	0.0406097
"Christmas gift"	0.040583
Emmys	0.0404388
Grammy	0.0404354
"power of attorney"	0.040365
Grammys	0.0402342
hand-me-down	0.0400569
))
(comment (desc 168860) (sims
remark	0.299762
statement	0.232095
suggestion	0.17005
criticism	0.163539
report	0.152703
announcement	0.152543
decision	0.148342
speech	0.145975
opinion	0.142652
letter	0.137977
question	0.136798
response	0.135962
word	0.134839
testimony	0.134591
reaction	0.131627
proposal	0.131572
accusation	0.124068
message	0.123666
assertion	0.12342
call	0.119958
action	0.11993
allegation	0.119916
warning	0.119879
recommendation	0.1195
advice	0.115406
detail	0.113038
finding	0.112732
interview	0.112061
ruling	0.111487
information	0.111365
complaint	0.10951
article	0.109399
commentary	0.1093
view	0.109294
stance	0.109071
request	0.108368
explanation	0.107728
assessment	0.107371
story	0.105972
behavior	0.105366
Declaration	0.104454
rhetoric	0.102877
plea	0.102297
observation	0.101954
attack	0.101568
quote	0.100079
move	0.100055
briefing	0.0998954
argument	0.0994722
conversation	0.0992157
claim	0.0990902
answer	0.0989471
news	0.0980141
attitude	0.0979361
speculation	0.0976928
visit	0.0972748
prediction	0.0970917
discussion	0.0967181
disclosure	0.0965986
"phone call"	0.0964506
incident	0.0956811
tone	0.0955759
rumor	0.0953749
description	0.0950525
pronouncement	0.0949086
resignation	0.0948272
idea	0.0946775
joke	0.0942435
analysis	0.0932827
talk	0.09302
refusal	0.0928988
fact	0.0928149
debate	0.0926145
reference	0.0924369
Comments	0.092293
AD	0.091907
appeal	0.0916861
assurance	0.0916021
appearance	0.0915685
endorsement	0.0911857
memo	0.0911728
apology	0.0907479
thought	0.0894674
verdict	0.0893364
conclusion	0.0887233
review	0.0882455
plan	0.0881806
pledge	0.0874646
denial	0.0874493
query	0.0873487
note	0.0869282
judgment	0.0866658
concern	0.0865068
appointment	0.0854711
offer	0.0854708
performance	0.0852094
revelation	0.0851592
attention	0.0851127
outburst	0.0850949
address	0.0847241
feedback	0.0846196
reply	0.0845217
hearing	0.0842949
gesture	0.0840117
vote	0.0837911
document	0.0837778
"telephone call"	0.0835494
sentiment	0.0833558
objection	0.0829354
language	0.0827747
policy	0.0827174
instruction	0.0825388
threat	0.0825344
tactic	0.0824009
data	0.0818584
Dismissal	0.0818384
position	0.0816667
"news report"	0.0814974
confession	0.081255
conduct	0.0809037
support	0.0807426
essay	0.0807076
presence	0.0805078
approach	0.0805028
questioning	0.0796319
inquiry	0.0794777
evidence	0.0793012
invitation	0.0792923
promise	0.078928
insistence	0.0785878
effort	0.0785571
clarification	0.0783982
book	0.078174
case	0.078159
arrest	0.0779945
attempt	0.0770365
praise	0.0766954
protest	0.0766859
account	0.0766644
presentation	0.0764997
failure	0.0762978
critique	0.0761519
departure	0.0752781
silence	0.0752291
meeting	0.0748915
rejection	0.0746182
demand	0.0744627
headline	0.0740968
result	0.0739587
change	0.0737445
advertisement	0.0736456
confirmation	0.0736426
release	0.0736317
phrase	0.0734377
act	0.0729258
"news conference"	0.0726809
email	0.0723522
interpretation	0.0723308
initiative	0.0722644
resolution	0.0721239
condemnation	0.0721048
campaign	0.0717882
anecdote	0.0717689
approval	0.0715889
that	0.0714596
absence	0.0714426
characterization	0.0714101
name	0.0712692
overture	0.0706076
feeling	0.0705567
thing	0.0704916
directive	0.0702861
picture	0.0702051
update	0.0701861
charge	0.0698629
work	0.0698032
agreement	0.0697841
admission	0.0697459
saying	0.069723
lack	0.069622
emphasis	0.0694981
style	0.0693935
delay	0.0693826
study	0.0693169
image	0.0692502
investigation	0.0690259
coverage	0.0689226
thinking	0.0687922
manner	0.0687706
choice	0.068655
role	0.0685767
leak	0.0685176
skepticism	0.0684859
mention	0.0684842
anything	0.0682113
poll	0.0680512
situation	0.0676492
strategy	0.0675372
focus	0.0674555
involvement	0.0672523
))
(commentary (desc 56904.4) (sims
editorial	0.189874
article	0.163011
essay	0.157495
comment	0.1093
column	0.108395
analysis	0.102434
report	0.101962
story	0.101103
commentator	0.100136
documentary	0.0997418
satire	0.0971545
critique	0.0933819
headline	0.093262
anecdote	0.0926498
interview	0.0921592
opinion	0.0884237
book	0.0868957
humor	0.0867976
observation	0.0861663
text	0.086094
writing	0.0854599
advertisement	0.0849218
biography	0.0839566
cartoon	0.0834724
update	0.0829986
news	0.0825783
statement	0.0822468
lecture	0.0816717
advice	0.0806844
review	0.0801327
letter	0.0794558
narration	0.0792368
excerpt	0.0790649
poem	0.0787734
feature	0.0784398
description	0.0784223
joke	0.0781575
fiction	0.0780155
reporting	0.0773995
summary	0.0773576
note	0.0772769
speech	0.0767723
AD	0.0766964
memo	0.0765816
"white paper"	0.0764887
information	0.0762741
insight	0.0757193
poetry	0.0753893
picture	0.0753799
caption	0.0749633
coverage	0.0739458
remark	0.0735156
paper	0.0729393
quotation	0.0726466
illustration	0.0724534
photograph	0.0724126
treatise	0.0721698
footage	0.0719645
drama	0.0717815
video	0.071299
perspective	0.0712712
Entertainment	0.0712216
comedy	0.0709494
music	0.0709227
memoir	0.070675
message	0.0705156
"magazine article"	0.0704978
clip	0.0701204
photo	0.0695147
reflection	0.0690764
detail	0.0690377
criticism	0.0686284
Song	0.0685243
novel	0.0682535
bulletin	0.0680756
rumination	0.0679894
autobiography	0.0679216
prose	0.0677442
document	0.0676079
obituary	0.067572
page	0.0673282
suggestion	0.0672873
narrative	0.0672498
study	0.0671915
sketch	0.0667641
Circular	0.0664001
"news story"	0.0661763
reference	0.0660575
tale	0.0656667
meditation	0.0653876
"short story"	0.0652793
literature	0.0649553
script	0.0648445
"sound bite"	0.0647071
film	0.0644581
"news report"	0.0643842
parody	0.0641517
profile	0.0639575
programming	0.0637316
commercial	0.0635853
graphics	0.0634482
explanation	0.0631132
wit	0.0629831
diary	0.0628583
monograph	0.062747
play-by-play	0.062611
sermon	0.0625482
Sidebar	0.0625041
guide	0.0623723
one-liner	0.0621568
"news release"	0.0620584
lyric	0.0620459
musings	0.0619369
asides	0.0617508
"news article"	0.0615634
movie	0.0612668
translation	0.0609766
"open letter"	0.06081
newsletter	0.0606647
gossip	0.0606399
"newspaper article"	0.060527
publication	0.0604415
piece	0.0604324
content	0.0603907
word	0.0603862
discussion	0.0603404
edition	0.0603359
statistic	0.0603088
"press release"	0.0600194
presentation	0.0598284
booklet	0.0596817
testimony	0.0593666
recipe	0.0591831
question	0.0585143
Screenplay	0.0584912
account	0.0584651
journal	0.0584153
portrait	0.0583392
pronouncement	0.0582876
pamphlet	0.0581205
material	0.0579544
broadcast	0.0579263
conversation	0.0579237
apology	0.0579094
voice	0.057906
survey	0.0578374
image	0.0576846
nonfiction	0.0575849
tip	0.057499
data	0.0573291
special	0.0570532
correspondence	0.056892
magazine	0.0566624
emphasis	0.0564079
speculation	0.0561826
trivia	0.0561672
chat	0.0561257
assessment	0.0560723
"sense of humor"	0.0559461
rebuttal	0.0559421
notice	0.0559257
diatribe	0.0558625
interpretation	0.0558247
debate	0.0557787
manifesto	0.0557132
warning	0.0555933
paragraph	0.0555733
listing	0.0555144
monologue	0.0551214
brochure	0.0550876
style	0.0550377
Declaration	0.0548633
rhetoric	0.0547293
Journalism	0.0546034
drawing	0.0545462
lesson	0.0545439
feedback	0.0545154
tone	0.0544439
animation	0.0542833
recommendation	0.0541742
response	0.054159
collection	0.0541259
transcript	0.0540079
prediction	0.0540038
"newspaper column"	0.053988
briefing	0.0537958
chapter	0.0536952
Advertising	0.0535731
thesis	0.0535221
spin	0.0534865
communique	0.0534526
instruction	0.0533928
testimonial	0.0532808
tidbit	0.0531903
theme	0.0530435
highlight	0.0529278
answer	0.0526685
cookbook	0.0523837
twist	0.0523716
finding	0.0522594
))
(commentator (desc 36378.8) (sims
pundit	0.178472
columnist	0.149086
analyst	0.14581
correspondent	0.140467
announcer	0.13033
journalist	0.129086
"TV commentator"	0.128413
broadcaster	0.123022
writer	0.1194
critic	0.116252
historian	0.114126
"legal expert"	0.108741
scholar	0.107441
reporter	0.105063
anchor	0.101619
politician	0.101527
educator	0.101009
commentary	0.100136
activist	0.0993117
observer	0.098817
expert	0.0980064
academic	0.0967406
cartoonist	0.0963131
sportscaster	0.095942
reviewer	0.0948055
strategist	0.0941231
host	0.09296
"social scientist"	0.0929439
consultant	0.0929336
economist	0.0926522
essayist	0.091906
author	0.0910059
editor	0.0908634
pollster	0.0907637
advocate	0.0895508
adviser	0.0886026
psychologist	0.0878544
cameraman	0.0875948
lecturer	0.0865691
novelist	0.086078
interviewer	0.0854945
"business executive"	0.0850732
ethicists	0.0840498
publicist	0.0839241
philosopher	0.0838421
"business leader"	0.0831333
photographer	0.0827859
insider	0.0823007
comedian	0.0821751
panelist	0.0819989
"talk show"	0.0815865
executive	0.0814543
environmentalist	0.0814316
aide	0.0811119
banker	0.0808943
Programmer	0.0805791
diplomat	0.0802742
researcher	0.0801298
sociologist	0.0794874
lobbyist	0.0794727
theologian	0.0787265
"newspaper editor"	0.078448
"music critic"	0.0784056
"labor leader"	0.0780353
linguist	0.0776386
thinker	0.0775961
lawmaker	0.0766836
speechwriter	0.0766128
specialist	0.0764629
humorist	0.0763869
scientist	0.0761921
watcher	0.0756599
legislator	0.0754964
"disc jockey"	0.0751807
"talking head"	0.0751325
professor	0.075101
"market watcher"	0.0741595
"government officials"	0.0739702
intellectual	0.0737954
"religious leader"	0.0736791
translator	0.0736701
producer	0.0735403
poet	0.0735168
biographer	0.0731799
"economic expert"	0.073013
musician	0.0724999
planner	0.0722067
skeptic	0.0719415
Playwright	0.0717371
theorist	0.071437
evangelist	0.0713629
lawyer	0.0712439
criminologists	0.0706782
reformer	0.0702888
"elected official"	0.0693104
presenter	0.0690724
physicist	0.0689435
artist	0.068662
staffer	0.0685574
"political leader"	0.0685478
professional	0.0684765
"Wall Street analyst"	0.0678511
conservative	0.0677939
"civic leader"	0.0677562
"George Will"	0.0677534
statesmen	0.067729
parliamentarian	0.0672904
sportswriters	0.0672304
"art historian"	0.0671529
curator	0.0669416
"social worker"	0.0668831
"weather forecaster"	0.0668234
statesman	0.0663934
Reader	0.065989
sportswriter	0.0659824
guru	0.0659682
jurist	0.0658926
screenwriter	0.0657357
programming	0.0656716
businessman	0.0654791
filmmakers	0.0653027
rabbi	0.0652595
technician	0.0647116
administrator	0.0645693
entertainer	0.0645605
conservationist	0.0643783
anthropologist	0.0642
businessmen	0.0641697
prognosticator	0.0641015
contributor	0.0640428
newscaster	0.0639767
caller	0.0636416
scout	0.0635781
stockbroker	0.0635411
director	0.0634049
"policy maker"	0.0632589
operative	0.0628107
entrepreneur	0.0626212
dramatist	0.0626151
biologist	0.0624376
astronomer	0.0622779
newsman	0.0621516
"civil rights leader"	0.0620541
viewer	0.0620427
designer	0.0619808
preacher	0.0618707
media	0.0618105
engineer	0.061375
listener	0.0613262
trader	0.0612045
cameramen	0.061094
performer	0.0610421
"political scientist"	0.060935
"venture capitalist"	0.0608397
anchorman	0.0608362
doctor	0.0607599
"market participant"	0.0606471
publisher	0.0602986
philanthropist	0.0602864
teacher	0.060243
"investment banker"	0.0602331
forecaster	0.0601606
supporter	0.0601091
"private investigator"	0.0599229
broadcast	0.0598083
archaeologist	0.059562
bigwig	0.0594864
actor	0.0593865
singer	0.0593683
cleric	0.0593511
psychiatrist	0.0591819
proponent	0.059124
congressmen	0.0590421
"television reporter"	0.0590312
senator	0.0589558
"cabinet minister"	0.0589123
"news media"	0.0588623
personality	0.0588217
therapist	0.0587952
"film producer"	0.0587737
"newspaper publisher"	0.0587094
"corporate executive"	0.0586319
"movie star"	0.0583594
colleague	0.0583276
Maven	0.0582499
architect	0.0580726
assistant	0.0580344
physician	0.0579407
"management consultant"	0.0577069
advisor	0.057571
bureaucrat	0.0575473
painter	0.0574437
manager	0.0574175
"news show"	0.0573969
"Alan Keyes"	0.0573222
"news program"	0.0573186
guest	0.0572601
prosecutor	0.0570863
"board member"	0.0570626
Republican	0.0570303
))
(Comments (desc 5337.69) (sims
feedback	0.0645816
pronouncement	0.0567291
"President Sheikh Zayed Bin Sultan Al-Nahyan"	0.0546377
Events	0.0492428
query	0.0492242
Measures	0.0485745
"documentary film"	0.0473542
playlist	0.0472618
co-chaired	0.0472124
"form letter"	0.0469121
"Entebbe International Airport"	0.0466093
acknowledgment	0.0465407
outcry	0.0461271
"Wlodzimierz Cimoszewicz"	0.0452378
Zyvox	0.0435387
rumination	0.0428222
"rate cut"	0.0427184
Pruett	0.0424285
"tone of voice"	0.0423499
"Gallup Poll"	0.0412605
murmur	0.0411195
missive	0.0408005
"birthday card"	0.0406806
"news article"	0.0401466
))
(commerce (desc 63854.3) (sims
e-commerce	0.179352
tourism	0.173732
telecommunication	0.170642
banking	0.166628
trade	0.161529
agriculture	0.161009
communication	0.152389
"information technology"	0.152167
transportation	0.147313
finance	0.145996
transport	0.138648
retailing	0.137125
aviation	0.136962
industry	0.133753
manufacturing	0.130968
education	0.129561
business	0.129393
technology	0.124838
development	0.118629
mining	0.118584
"high technology"	0.11703
"real estate"	0.116257
sector	0.11481
transaction	0.1139
computing	0.111983
service	0.110813
electronics	0.110559
biotechnology	0.110462
marketing	0.109919
"free trade"	0.109815
shipping	0.109602
science	0.109108
Advertising	0.10893
infrastructure	0.108702
Entertainment	0.108592
engineering	0.108518
economy	0.107874
distribution	0.107774
investment	0.104403
culture	0.104322
Internet	0.104085
publishing	0.103968
environment	0.103805
"higher education"	0.103328
networking	0.103317
construction	0.103008
fishery	0.102994
"health care"	0.102971
forestry	0.101889
processing	0.100622
health	0.10054
energy	0.100101
cooperation	0.0996278
management	0.0989845
e-business	0.0984446
taxation	0.0984113
"chemical industry"	0.0981608
employment	0.0979024
affair	0.0977724
politics	0.097452
activity	0.0965713
security	0.096311
relation	0.0961657
farming	0.0960074
"public works"	0.0955051
research	0.0947454
software	0.094571
"public security"	0.09424
Housing	0.0939782
broadcasting	0.0935787
sport	0.093476
market	0.0933685
production	0.0929351
access	0.0927371
conservation	0.0920118
"information service"	0.0917241
integration	0.0913279
marketplace	0.0907302
traffic	0.0906868
enterprise	0.0905453
"animal husbandry"	0.0905021
navigation	0.089977
resource	0.0896652
innovation	0.0890925
"electronics industry"	0.0890405
shopping	0.0885691
economics	0.0885655
immigration	0.0883949
retail	0.0880467
petroleum	0.0877451
"business activity"	0.0874977
aerospace	0.0874823
pharmaceutical	0.0866866
insurance	0.0866263
product	0.0865499
gambling	0.0859074
travel	0.0857793
multimedia	0.0856929
sale	0.0852906
"social welfare"	0.0848356
refining	0.0847401
information	0.0846879
protection	0.084651
"commercial activity"	0.0844015
Gaming	0.0843147
"telephone service"	0.0841489
telephony	0.0836142
textile	0.0835043
export	0.0832457
"life science"	0.0830726
labor	0.0830165
"trade relation"	0.0829933
planning	0.0828499
growth	0.0828381
high-tech	0.0827734
exploration	0.0822967
metallurgy	0.0822752
system	0.0818951
exchange	0.0818822
shipbuilding	0.0816806
financing	0.081156
warehousing	0.0808775
operation	0.0807242
Privatization	0.0806347
trading	0.0804872
medicine	0.0804416
"world economy"	0.0802708
"computer technology"	0.0796347
programming	0.0795501
"air travel"	0.0793929
"public service"	0.0787154
"data communication"	0.0786744
application	0.0786365
globalization	0.0785667
goods	0.0785219
expansion	0.0784198
reform	0.0779241
wireless	0.0776782
lending	0.0774783
"computer network"	0.0772698
automobile	0.0771965
procurement	0.0771528
media	0.0770924
irrigation	0.0768351
fishing	0.0766978
project	0.0766295
"phone service"	0.0763706
healthcare	0.0763665
"family planning"	0.0763567
"natural resource"	0.076152
"Foreign Affairs"	0.0760097
partnership	0.0759255
"law enforcement"	0.0755831
bioengineering	0.0752815
prevention	0.0751194
governance	0.074852
machinery	0.0747649
venture	0.0747121
network	0.0744714
art	0.0743274
property	0.0742791
"venture capital"	0.0737672
flow	0.0737408
broadband	0.073605
utility	0.0734724
"postal service"	0.0732563
diplomacy	0.0732016
Promotion	0.0729555
Liberalization	0.0728075
"building material"	0.0727434
policy	0.072714
company	0.072564
tobacco	0.0724839
treasury	0.072455
process	0.0723614
Microelectronics	0.0723418
"personal computer"	0.0721935
Journalism	0.0720216
"oil industry"	0.0717274
relationship	0.0716388
"medical science"	0.0715192
"water supply"	0.0714971
program	0.0713544
learning	0.0713257
religion	0.071303
"construction industry"	0.0712894
consumer	0.071265
democracy	0.0712501
custom	0.0712091
Telecom	0.0711213
"road construction"	0.0711066
"nuclear energy"	0.070981
"social service"	0.0709772
automation	0.0709694
import	0.070593
interaction	0.0705847
"retail sale"	0.0703702
consumption	0.0701712
"securities market"	0.0700308
"computer industry"	0.0699597
))
("Commerce and Industry" (desc 2984.8) (sims
"Trade and Industry"	0.088754
Sumaye	0.085468
Guterres	0.0853401
Azad	0.0846271
Abdel-Meguid	0.0843453
ACFTU	0.0840578
Pustovoitenko	0.0837184
Ikimi	0.0815294
Rifkind	0.0801954
"China Council"	0.0798923
Ruehe	0.0797355
"de Charette"	0.079047
"Economic Cooperation"	0.0782179
Orban	0.0777323
Stoyanov	0.0777053
Kono	0.076362
Surin	0.0760099
Shareh	0.0759178
Moratinos	0.0753725
Komura	0.0749139
Constantinescu	0.074597
Rodionov	0.074412
Alatas	0.0740944
Kato	0.0740727
Cem	0.0739338
Tarawneh	0.0730481
Modise	0.0727228
Niyazov	0.0725852
Granic	0.0725614
Koirala	0.0724786
Kasoulides	0.071387
Ikeda	0.0705354
Muluzi	0.0701893
"Board of Investment"	0.0701575
"Prime Ministers"	0.0699795
Holl	0.0692066
"Prince Abdullah Ibn Abdul-Aziz"	0.068744
Siazon	0.0677932
"Tourism Authority of Thailand"	0.0677519
"British Foreign Office"	0.0676971
Akayev	0.067435
Fernandes	0.0672794
Nzo	0.0670611
Juppe	0.0667394
"Home Affairs"	0.0663609
Shaath	0.0663177
CPAFFC	0.0662587
Scalfaro	0.0661394
CCPIT	0.0659885
Pangalos	0.0658737
Nazarbayev	0.0658115
"Hong Kong Trade Development Council"	0.0657742
"United Nations Conference on Trade and Development"	0.0656729
Klestil	0.065626
"chamber of commerce"	0.065326
Advani	0.0650913
Karimov	0.0646384
SEPA	0.0644085
Gujral	0.0637768
Juma	0.0635085
Scharping	0.0628444
"Abidine Ben Ali"	0.0619032
Velayati	0.0618929
"Defense William Cohen"	0.0618472
Lari	0.0613388
"Inder Kumar Gujral"	0.0610417
"Frederick Sumaye"	0.0608609
Axworthy	0.0607351
MOFTEC	0.0605914
Sepracor	0.0604656
Ciampi	0.0603902
"All-China Youth Federation"	0.0601817
Alarcon	0.0599843
Zou	0.0599075
Tella	0.059885
Kostov	0.0596836
"Ministry of International Trade and Industry"	0.0595575
Ogata	0.0593473
al-Sahaf	0.0592733
"Defense Agency"	0.0592127
"William Perry"	0.0591326
"Maung Aye"	0.0591117
Insulza	0.058889
McGuinness	0.0587245
ESCAP	0.0586572
Vasile	0.0586214
Nujoma	0.0585446
"Promise Keepers"	0.0585118
"Housing and Urban Development"	0.0582855
"Sam Rainsy Party"	0.058186
"Salim Ahmed Salim"	0.0581284
Mkapa	0.0578981
Manley	0.0578812
Malu	0.0578534
UNIP	0.0576579
Kharrazi	0.0576464
Ghali	0.0574301
Bondevik	0.057001
Jayakumar	0.0569017
Dodik	0.0566596
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DeFrantz	0.0563662
Boueiz	0.0562253
Kok	0.0561195
Brittan	0.0559283
Wenger	0.0559261
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Tsang	0.0556578
"Vo Van Kiet"	0.0556038
Majko	0.0555074
Majali	0.0554399
Izetbegovic	0.0553806
"Secretary General Esmat Abdul-Meguid"	0.0552272
Tarrin	0.0551229
Wolfensohn	0.0551065
Luong	0.0550425
Sergeyev	0.0550376
Nemtsov	0.0549898
CONCACAF	0.0548266
Ltd	0.0546228
Sahnoun	0.0544614
"Atal Bihari Vajpayee"	0.054377
Sampaio	0.0542801
Pickering	0.0541421
Villar	0.0538002
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"economic expert"	0.0537411
Buhe	0.0536372
Histadrut	0.0536357
"Foreign Affairs"	0.0533629
"New Zealand First"	0.0531044
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"Home Ministry"	0.0530331
Narayanan	0.0529926
Xiong	0.05299
Aventajado	0.0529714
Muoi	0.0529393
Ben-Ami	0.0528947
Al-Sabah	0.0528842
Ltd.	0.0528584
Brahimi	0.0528022
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Demirel	0.0525002
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Papandreou	0.0523413
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Vedrine	0.0523121
Eizenstat	0.0522718
Museveni	0.0522233
Hasina	0.052197
"Department of Trade and Industry"	0.0521734
"Perez Balladares"	0.0520975
Deuba	0.0520556
WIPO	0.0519316
Koo	0.0517633
Phieu	0.051722
el-Ganzouri	0.0515741
"Commerce Ministry"	0.0515125
Seleznyov	0.0513824
"Dos Santos"	0.0513272
"Water Resources"	0.0513225
Bizimungu	0.0513007
"International Cooperation"	0.0512092
Byers	0.0511626
Kyprianou	0.0511135
Meles	0.0510759
"U.S. Chamber of Commerce"	0.0510079
NRP	0.0509947
Harmoko	0.0509672
Beazley	0.0509057
Fieger	0.0507129
Rong	0.050679
"Red Cross Society"	0.050655
Dini	0.0506233
Krajisnik	0.0506099
Chavalit	0.0504366
Solana	0.0503537
"Lee Hsien Loong"	0.0502995
"Phan Van Khai"	0.0501896
Chevenement	0.0500754
"Jaswant Singh"	0.0498761
"Bill Skate"	0.0497384
SAARC	0.0496491
"NZ First"	0.0495934
Rais	0.0495064
Hu	0.0494372
"Chuan Leekpai"	0.0494126
Strauss-Kahn	0.049365
Gosper	0.0493531
"John Bruton"	0.0493492
"foreign office"	0.0492733
Hamad	0.0492732
"Robert Aventajado"	0.0491794
"Fletcher Energy"	0.0490458
Simitis	0.0489577
"Ministry of Trade and Industry"	0.0488607
"Business Council"	0.0488317
"Prime Minister Banharn Silpa-Archa"	0.0487972
Tat	0.0487441
"Palestinian Council"	0.0487114
))
("Commerce Committee" (desc 2629.68) (sims
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"Senate Commerce Committee"	0.38763
"Banking Committee"	0.331732
"Senate Banking Committee"	0.330311
"House Appropriations Committee"	0.324751
"Appropriations Committee"	0.324667
"Senate Appropriations Committee"	0.306932
"House International Relations Committee"	0.298331
"Rules Committee"	0.294154
"Senate Judiciary Committee"	0.283872
"Senate Budget Committee"	0.281976
"Foreign Relations Committee"	0.274502
"House Budget Committee"	0.271935
"Ways and Means Committee"	0.268118
"House Banking Committee"	0.258529
"House Government Reform Committee"	0.256219
"Senate Armed Services Committee"	0.249324
"Senate Foreign Relations Committee"	0.225963
"House Ways and Means Committee"	0.215349
"Senate Governmental Affairs Committee"	0.214405
"Judiciary Committee"	0.206763
"Senate Finance Committee"	0.202273
"House Judiciary Committee"	0.166201
"finance committee"	0.165809
"Congressional Black Caucus"	0.152627
"Human Rights Commission"	0.147374
"National Economic Council"	0.142797
"National Republican Congressional Committee"	0.14159
subcommittee	0.134499
DLC	0.129165
NSC	0.127129
"ethics committee"	0.125412
"Council of Economic Advisers"	0.120512
AmCham	0.119613
"Public Service Commission"	0.117693
"Atomic Energy Commission"	0.11259
"Russian Duma"	0.112065
"planning board"	0.111365
JMC	0.110644
"National Transportation Safety Board"	0.110374
RNC	0.109975
"Nevada Athletic Commission"	0.108717
"Democratic Senatorial Campaign Committee"	0.10696
"Cuban American National Foundation"	0.106534
"Central Election Commission"	0.105632
PECC	0.104881
"Republican National Committee"	0.103534
"Kosovo Verification Mission"	0.10258
"Democratic Leadership Council"	0.101728
"planning commission"	0.100234
G-@@	0.0999967
"Democratic Congressional Campaign Committee"	0.0997441
PATA	0.0990994
CEC	0.097985
NAM	0.0977362
"steering committee"	0.0974738
"Housing Authority"	0.0962027
"conference committee"	0.0947109
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CMAG	0.0919742
DAP	0.0916571
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Comelec	0.0908028
"Electoral Commission"	0.0905593
"English department"	0.0903975
IEC	0.0902905
"control board"	0.0900612
"Truth Commission"	0.089732
"PLO Executive Committee"	0.0887797
"advisory board"	0.0885613
NTSB	0.0884615
DNC	0.0875292
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OIC	0.0866979
CDU	0.0863014
"interim committee"	0.0860142
KPU	0.0859092
Totalfina	0.0858672
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DSE	0.0856439
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SDP	0.0837938
"board of regents"	0.0835793
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ADL	0.0830306
NEA	0.0830294
CIRC	0.0826485
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"National Defense Commission"	0.0814304
CMC	0.0810099
PUC	0.0807283
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SFC	0.0803692
"Football Association"	0.0800657
"General Council"	0.080061
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"Nahdlatul Ulama"	0.0794799
"Revolutionary Party"	0.0792999
"history department"	0.0792287
KPA	0.0791654
SPDC	0.0791058
FORD-Kenya	0.0784804
"Russian Communist Party"	0.0783776
NHTSA	0.078309
"Universal Pictures"	0.078018
SDS	0.0778837
Tauzin	0.0777091
"Independence Party"	0.0773402
CCF	0.0772212
SANDF	0.0768983
"Shas Party"	0.076877
"South African National Defense Force"	0.0764108
"Commonwealth Ministerial Action Group"	0.0764082
"governing board"	0.0762079
"Non-Aligned Movement"	0.0760146
"Executive Committee"	0.0758505
"Salt Lake Organizing Committee"	0.0757773
OSCE	0.0753293
"Board of Supervisors"	0.074782
"Civic Democratic Party"	0.0747464
MRTA	0.0746801
NDP	0.0746412
"Los Angeles City Council"	0.0745276
Upton	0.0744849
"Great Hural"	0.0741097
"National Security Council"	0.0741074
PNC	0.0740788
PDI	0.0738787
"Federal Communications Commission"	0.0735869
MTA	0.0735477
INEC	0.073264
"Israeli Knesset"	0.0731963
ECOWAS	0.0726875
"Nationalist Party"	0.0726793
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"General Committee"	0.0722907
"Caribbean Community"	0.0722099
"Texas Department of Public Safety"	0.0720515
"Democratic National Committee"	0.0719563
LVMH	0.0718605
Duma	0.0713015
"U.S. Fed"	0.071177
"Self-Defense Forces"	0.0710371
"Serbian Orthodox Church"	0.0706513
"executive council"	0.0705415
IPU	0.0704059
"Golkar Party"	0.070337
"Board of Elections"	0.0703325
PBSI	0.070328
"Meretz Party"	0.0702604
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"Straight Talk Express"	0.0699332
CCPIT	0.0697015
SADC	0.0695269
NiSource	0.0693454
"two pitchers"	0.0691918
FTC	0.0691763
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"Badminton Association of Indonesia"	0.0688148
ICA	0.0686934
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"Texas House"	0.0684658
"Group of @@"	0.0681952
"standing committee"	0.0681313
PCC	0.0681194
FCC	0.068091
BIA	0.0680202
"Muslim Brotherhood"	0.0678876
Bundestag	0.0678866
"Social Democratic Party"	0.0677668
IGAD	0.0677098
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IFP	0.0674074
Histadrut	0.0673791
"Foreign Relations"	0.0673306
"Cendant Corp."	0.0671889
NRM	0.0671829
"Congress Working Committee"	0.0669469
BOI	0.0666171
"Likud Party"	0.066265
KONI	0.0660372
"New Korea Party"	0.0660149
"Board of Governors"	0.0659961
"board of education"	0.0659102
"Barisan Nasional"	0.0658979
Markey	0.0657444
NRC	0.0656557
Politburo	0.0654492
CPA	0.0653209
"Communications Workers of America"	0.0652103
DPP	0.0651749
WEF	0.0650017
CCM	0.0644902
))
("Commerce Department" (desc 14060.2) (sims
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"Statistics Canada"	0.222617
"U.S. Commerce Department"	0.215583
Eurostat	0.212451
"Treasury Department"	0.2067
"U.S. Labor Department"	0.193321
"Department of Health and Human Services"	0.182568
"Australian Bureau of Statistics"	0.179723
"Agriculture Department"	0.176434
"Census Bureau"	0.176354
"U.S. Agriculture Department"	0.176333
"Department of Agriculture"	0.16832
"Environmental Protection Agency"	0.161371
"Conference Board"	0.158196
"Transportation Department"	0.157032
"Department of Labor"	0.1543
"Department of Health"	0.153806
"Education Department"	0.153606
"Department of Commerce"	0.15317
"Justice Department"	0.152718
EPA	0.150589
"Federal Trade Commission"	0.149038
"Department of Education"	0.147726
"Department of Transportation"	0.145973
"Energy Department"	0.145591
"State Department"	0.143964
"U.S. Census Bureau"	0.142939
"Department of Justice"	0.141806
"General Accounting Office"	0.141298
USDA	0.140364
"Defense Department"	0.138534
"Finance Ministry"	0.136963
FTC	0.135398
"Food and Drug Administration"	0.135332
CDC	0.134341
"Federal Aviation Administration"	0.133289
"Federal Election Commission"	0.133103
"Health Department"	0.131374
"State Statistics Bureau"	0.131357
"American Petroleum Institute"	0.130793
"Interior Department"	0.130134
Pentagon	0.129342
"Economic Planning Agency"	0.129265
"Department of Housing and Urban Development"	0.128514
"Federal Reserve"	0.126733
"Securities and Exchange Commission"	0.124138
"Department of Defense"	0.123575
"National Academy of Sciences"	0.12257
"U.S. State Department"	0.122049
FAA	0.121806
"Health Ministry"	0.121799
"Department of Energy"	0.120997
FCC	0.120949
"National Highway Traffic Safety Administration"	0.12077
FDA	0.119968
"National Bureau of Statistics"	0.11945
"Federal Communications Commission"	0.118528
"Straits Times"	0.117501
"Interior Ministry"	0.117242
"National Transportation Safety Board"	0.116096
"Justice Ministry"	0.114346
"Vietnam News"	0.111432
"Ministry of Industry"	0.111346
"Commerce Ministry"	0.110958
"Drug Enforcement Administration"	0.110834
"Immigration and Naturalization Service"	0.110287
"College Board"	0.110255
"Health Care Financing Administration"	0.108371
"Internal Revenue Service"	0.107151
"Labor Ministry"	0.10706
bureau	0.105732
"National Association of Realtors"	0.105222
"Bureau of Labor Statistics"	0.104992
"Congressional Budget Office"	0.104717
"Vietnam News Agency"	0.103494
"Department of Trade and Industry"	0.103149
INS	0.102876
SSB	0.102803
NTSB	0.102555
"inspector general"	0.102139
FEC	0.10121
"U.S. Immigration and Naturalization Service"	0.100753
SEC	0.100641
"Philippine News Agency"	0.0999858
NRC	0.099548
"Institute of Medicine"	0.0995106
IRS	0.0994743
"Ministry of Finance"	0.0992156
"Ministry of Health"	0.0987374
"Kyodo News"	0.0986845
agency	0.0979092
"National Institutes of Health"	0.0966217
ministry	0.0964291
CIA	0.0963462
department	0.0952871
"central bank"	0.0949195
"Ministry of Trade and Industry"	0.0947233
Gao	0.0935144
FBI	0.0934354
IEA	0.0930343
"Saudi Press Agency"	0.0930234
"Office of Management and Budget"	0.0928292
"Central Bureau of Statistics"	0.0927902
"State Statistical Bureau"	0.0926073
"Agence France Presse"	0.0925958
HUD	0.0925526
"U.S. Defense Department"	0.0920998
"National Science Foundation"	0.0918318
"U.S. Environmental Protection Agency"	0.0915563
"Kyodo News Service"	0.0915041
"Equal Employment Opportunity Commission"	0.0912666
"Agriculture Ministry"	0.0910228
OSHA	0.0907199
"ethics panel"	0.0906992
commission	0.0905709
"Department of Veterans Affairs"	0.0901506
"Daily Star"	0.0900967
CBO	0.0900328
"National Marine Fisheries Service"	0.08966
"Department of Corrections"	0.0896012
Angop	0.0891491
"Freddie Mac"	0.0886091
"Khaleej Times"	0.0884984
Haaretz	0.0881986
"National Security Council"	0.0877651
"European Commission"	0.0873108
"Associated Press of Pakistan"	0.0872672
HHS	0.0872183
"Tehran Times"	0.087198
"Human Rights Watch"	0.0866393
ATF	0.0863981
"Jerusalem Post"	0.0863541
"Nuclear Regulatory Commission"	0.0862563
"Congressional Research Service"	0.0860116
IRNA	0.0850955
"World Health Organization"	0.0849063
"Business Times"	0.0848602
EEOC	0.0848533
"Foreign Ministry"	0.0845191
ISTAT	0.083838
"Ministry of Agriculture"	0.0838059
"Amnesty International"	0.0835504
MTI	0.0835144
"National Research Council"	0.0832534
"Department of Public Safety"	0.0831743
"Al Hayat"	0.0830988
"election commission"	0.0826507
"World Bank"	0.0826302
"South African Press Association"	0.0826114
"Ghana News Agency"	0.0823751
ITC	0.0822143
"Business Day"	0.0821975
"Korean Central News Agency"	0.0821076
PUC	0.0820982
"Kenya Times"	0.0818819
"Department of State"	0.0817401
"Israel Radio"	0.0817189
Sowetan	0.0810585
"Thai News Agency"	0.0809951
NHTSA	0.0809094
"China Daily Business Weekly"	0.0807374
"National Cancer Institute"	0.0806725
HCFA	0.0806099
"Central Intelligence Agency"	0.0803671
"Department of Environmental Protection"	0.0800461
"Dow Jones Newswires"	0.0795416
Dataquest	0.0794239
DMV	0.0794189
"Financial Mail"	0.0793315
"Iraqi News Agency"	0.0790357
"Ministry of International Trade and Industry"	0.0787524
"Anatolia News Agency"	0.078538
"Department of Foreign Affairs"	0.0785375
"US State Department"	0.0784031
"U.S. Customs Service"	0.0779417
"Agence France-Presse"	0.0776949
"Central Election Commission"	0.0776841
"Federal Bureau of Investigation"	0.0773784
"Bangkok Post"	0.0770405
"USA TODAY"	0.0770125
regulator	0.0769626
"News Agency of Nigeria"	0.0768679
"British High Commission"	0.0767316
"French Foreign Ministry"	0.0766831
"Kuwait News Agency"	0.0765995
Forrester	0.0765543
"Kaiser Family Foundation"	0.0764881
"Bank of Thailand"	0.0762401
"Bank Negara"	0.0761419
IDC	0.0760717
"Turkish Daily News"	0.0760609
"National Labor Relations Board"	0.0758447
"Egyptian Gazette"	0.0756543
"National Election Committee"	0.0755552
"Radio Uganda"	0.0755408
"World Tourism Organization"	0.0754597
"National Park Service"	0.0753923
"Agency for International Development"	0.0753585
"Texas Department of Public Safety"	0.0752827
"Urban Institute"	0.075274
))
("Commerce Ministry" (desc 3334.08) (sims
"Thai Commerce Ministry"	0.312394
"Industry Ministry"	0.271443
"Thai Foreign Ministry"	0.202829
"Finance Ministry"	0.202084
"Labor Ministry"	0.200726
"Agriculture Ministry"	0.200664
"Ministry of Trade and Industry"	0.197703
"Education Ministry"	0.186675
"Board of Investment"	0.180073
"Ministry of Economy"	0.177545
"Health Ministry"	0.173825
"Ministry of International Trade and Industry"	0.173088
"Home Ministry"	0.171183
"Ministry of Tourism"	0.167261
"Justice Ministry"	0.166763
"Bank of Thailand"	0.164936
"Health and Welfare Ministry"	0.164258
"Tourism Authority of Thailand"	0.157294
"Interior Ministry"	0.155468
"Ministry of Industry"	0.155001
SSB	0.153441
"Department of Trade and Industry"	0.15263
"Australian Bureau of Statistics"	0.150715
MII	0.146833
"Ministry of Forestry"	0.146228
"Department of Finance"	0.145403
"World Tourism Organization"	0.143861
"Ministry of Communications"	0.143369
"election commission"	0.141985
"Ministry of Health"	0.141519
"Ministry of Education"	0.140763
"Ministry of Land"	0.140525
"Ministry of Trade"	0.140498
"Ministry of Finance"	0.140267
"General Administration of Customs"	0.139525
"Philippine Central Bank"	0.138754
CBI	0.138667
"U.S. Census Bureau"	0.138326
"Ministry of Agriculture"	0.13731
HKTA	0.135811
"People's Bank of China"	0.135239
"Ministry of Labor"	0.13402
"Ministry of Civil Affairs"	0.133034
"National Bureau of Statistics"	0.132393
Tat	0.132376
"State Statistics Bureau"	0.131843
"Israeli Foreign Ministry"	0.131495
"Department of Foreign Affairs"	0.131165
"U.S. Agriculture Department"	0.129994
BOI	0.12923
"Ministry of Railways"	0.1292
"American Petroleum Institute"	0.127672
"Transportation Department"	0.127175
"foreign office"	0.127117
"Education Department"	0.126705
"Ministry of Foreign Trade and Economic Cooperation"	0.126415
"Central Bank of Kenya"	0.126177
"Defense Ministry"	0.125122
"Department of Health"	0.124661
"State Administration for Industry"	0.122488
"EU Commission"	0.122364
"State Development Planning Commission"	0.122175
CIRC	0.122116
"British Foreign Office"	0.121787
PBOC	0.121685
"State Seismological Bureau"	0.121174
"Defense Agency"	0.120586
"Department of Health and Human Services"	0.120521
"Census Bureau"	0.120362
INEC	0.119661
"Ministry of Interior"	0.119441
"Transport Ministry"	0.119423
"reserve bank"	0.119284
"State Planning Commission"	0.119127
"Ministry of Water Resources"	0.118876
"planning commission"	0.118603
"Foreign Ministry"	0.118182
"Ministry of Science"	0.117855
"Department of Commerce"	0.117842
"Independent Electoral Commission"	0.117397
"Health Department"	0.11609
"State Bank of Pakistan"	0.116051
"Department of Labor"	0.115716
"Central Bureau of Statistics"	0.114203
"Bureau of Labor Statistics"	0.113849
ministry	0.113792
"French Foreign Ministry"	0.113655
"Ministry of Public Security"	0.113376
SDPC	0.113041
"U.S. State Department"	0.112886
"Ministry of Foreign Affairs"	0.112885
"U.S. Commerce Department"	0.11269
"Department of Agriculture"	0.11227
IEA	0.112244
TDB	0.112243
"Ministry of Information Industry"	0.112187
"U.S. Soccer Federation"	0.11198
"Central Election Commission"	0.111493
"British High Commission"	0.11131
"Ministry of Defense"	0.111249
"Commerce Department"	0.110958
"U.S. Defense Department"	0.109772
"Ministry of Public Health"	0.108077
ISTAT	0.107434
"Agriculture Department"	0.10712
"Nuclear Regulatory Commission"	0.106563
"College Board"	0.10547
"State Flood Control"	0.105167
HKMA	0.10515
MOFTEC	0.105137
"National Highway Traffic Safety Administration"	0.105048
"State Statistical Bureau"	0.105028
"Department of Transportation"	0.104464
"Commission on Presidential Debates"	0.104174
USDA	0.103579
"Independent National Electoral Commission"	0.103542
"Public Security Ministry"	0.102836
"State Forestry Administration"	0.102749
CNTA	0.102677
"National Electoral Commission of Nigeria"	0.102297
"Energy Department"	0.102264
"U.S. Environmental Protection Agency"	0.102237
"Department of Energy"	0.102143
"World Health Organization"	0.102089
"Statistics Canada"	0.101639
"Civil Aviation Administration of China"	0.101455
"Labor Department"	0.101447
"State Environmental Protection Administration"	0.101161
"Russian Defense Ministry"	0.101133
"Ministry of Geology"	0.101048
"Atomic Energy Commission"	0.100731
"Congressional Budget Office"	0.100118
"Ministry of Justice"	0.100008
"National Election Committee"	0.0993037
"Department of Education"	0.0991534
"Environmental Protection Agency"	0.0989231
"central bank"	0.0988595
"International Badminton Federation"	0.0988359
"Treasury Department"	0.0987931
UNAMET	0.0980478
"Health Care Financing Administration"	0.0977144
CSRC	0.0973603
"Hong Kong Tourist Association"	0.0971601
NHTSA	0.0969244
Eurostat	0.0967976
"European Commission"	0.0967947
"State Education Commission"	0.0967332
"Defense Department"	0.0966938
"U.S. Treasury Department"	0.0966153
"International Labor Organization"	0.096499
"Central Bank of Nigeria"	0.0960731
"Federal Trade Commission"	0.0958327
"Information Ministry"	0.09576
"Asian Development Bank"	0.0957401
ESCAP	0.0956922
"Ministry of Transport"	0.0955179
"Bank Indonesia"	0.0952553
"U.S. Immigration and Naturalization Service"	0.0951819
CSC	0.0951477
"Culture Ministry"	0.0946637
SETC	0.0944123
"China National Tourism Administration"	0.0943704
"municipal government"	0.094207
"Office of Management and Budget"	0.0938581
"Chinese Foreign Ministry"	0.0936822
"Ministry of Foreign Trade"	0.0936311
"Ministry of Posts"	0.0926395
DEP	0.0925832
"Ministry of Personnel"	0.0923862
"Turkish Foreign Ministry"	0.0923213
"Bank of Israel"	0.0920378
CMA	0.0909722
ITC	0.0909105
"United Nations Children's Fund"	0.0908294
"Hong Kong Trade Development Council"	0.0908226
NRC	0.0901614
"Federal Aviation Administration"	0.0901366
"National Tourism Administration"	0.0899209
"Clinton Administration"	0.089636
"Securities and Exchange Commission"	0.0889946
"Department of State"	0.0888047
"Presidential Palace"	0.0884315
EPA	0.0878588
"Institute of Medicine"	0.0877833
"Presidential Office"	0.0877779
"Department of Environment"	0.087311
CNOOC	0.0872681
"ASEAN Secretariat"	0.0868854
"State Administration of Foreign Exchange"	0.0858311
"British Embassy"	0.0856675
CBK	0.0852444
"British government"	0.085134
"National Research Council"	0.0851295
"Central Bureau of Investigation"	0.0850552
Forrester	0.0849447
"Bank Negara"	0.0846193
"Interior Department"	0.0845141
"Park Service"	0.0843785
"Reserve Bank of India"	0.0839706
"Russian Foreign Ministry"	0.083571
))
("Commerce Secretary" (desc 1523.34) (sims
"Secretary of Commerce"	0.148219
Moratinos	0.0589204
Vollebaek	0.0578649
Sahnoun	0.0571908
"De Soto"	0.0538049
Vasile	0.0525617
al-Sahaf	0.0516401
Grachev	0.0490034
Lipponen	0.0489068
Granic	0.048299
"Treasury Secretary"	0.0482781
Komura	0.0471634
Diouf	0.0466757
"Pope John Paul"	0.0466734
Guterres	0.0465975
"U.S. Senate"	0.046516
fixer	0.046193
Ben-Ami	0.0429168
"Abidine Ben Ali"	0.0425978
Rifkind	0.0425279
AHA	0.0420195
Narayanan	0.0419057
"de Charette"	0.0417625
Jayakumar	0.0415551
"margin call"	0.0402638
Barzani	0.0402106
))
(commercial (desc 95376.6) (sims
AD	0.249987
advertisement	0.201821
Advertising	0.155929
"TV commercial"	0.1434
"ad campaign"	0.125775
"advertising campaign"	0.123105
movie	0.118068
video	0.111087
film	0.108902
show	0.106789
documentary	0.101493
programming	0.0974936
campaign	0.0952952
billboard	0.0931337
"television show"	0.0884069
speech	0.0882908
broadcast	0.0867957
"TV show"	0.0865834
program	0.0859614
episode	0.0858403
special	0.0855886
spot	0.0855538
Song	0.0840359
drama	0.0818874
interview	0.081365
sitcom	0.0810836
poster	0.0807973
image	0.0806558
comedy	0.0804519
music	0.0804348
coverage	0.080167
television	0.0800468
cartoon	0.0799636
Promotion	0.0798071
musical	0.0797759
clip	0.0795645
mailings	0.0791649
"talk show"	0.0789983
book	0.0785828
message	0.0784856
series	0.0774041
footage	0.0768034
"soap opera"	0.0765279
"feature film"	0.0762963
"TV program"	0.0762362
TV	0.075899
story	0.0758371
"newspaper ad"	0.0758181
brochure	0.0752125
product	0.0746829
service	0.07437
Entertainment	0.0743243
appearance	0.0742287
picture	0.0740151
Recording	0.0737339
production	0.0734404
site	0.0729337
version	0.0727347
"television program"	0.0726433
segment	0.0726107
debate	0.0722621
scene	0.0719157
brand	0.0714369
marketing	0.0709138
business	0.0706916
event	0.0703953
print	0.0700648
magazine	0.0700414
opera	0.0699969
"phone call"	0.069982
infomercial	0.0690708
novel	0.0689228
publicity	0.0688348
photograph	0.0685061
blitz	0.0680423
script	0.0678736
endorsement	0.0675428
article	0.0675268
radio	0.0673145
merchandise	0.067129
project	0.0670195
comment	0.0668442
newscast	0.0666103
activity	0.0663778
design	0.0660918
collection	0.0659848
"game show"	0.0659755
strategy	0.0659636
concert	0.0659545
exhibit	0.0656732
news	0.0654228
letter	0.0654204
"news show"	0.065315
painting	0.0653056
slogan	0.0652955
tactic	0.0651619
logo	0.0650034
performance	0.0649498
skit	0.0648048
contest	0.0645792
Exhibition	0.064309
operation	0.0642375
media	0.0641769
style	0.0641356
conversation	0.0639178
joke	0.0639116
"TV movie"	0.0637213
commentary	0.0635853
research	0.0635217
presentation	0.0635156
remark	0.0635122
feature	0.063403
software	0.063254
tale	0.0631591
campaigning	0.0629488
sequence	0.0627513
statement	0.0627325
publication	0.0627003
sale	0.0626866
miniseries	0.0626709
toy	0.0624947
plan	0.0624916
catalog	0.0622846
network	0.0621051
politics	0.0620471
material	0.0620167
venture	0.0619159
CD	0.0618067
videotape	0.0617797
page	0.061587
account	0.0614719
outlet	0.0613219
technology	0.0612154
tape	0.0611091
tourism	0.0610198
channel	0.0607819
"video game"	0.0607291
rerun	0.0603756
character	0.0600475
announcement	0.0600472
photo	0.0599548
model	0.0598228
rhetoric	0.0597916
album	0.0596689
sport	0.0593464
stuff	0.0592779
application	0.0592109
industry	0.0590728
"news program"	0.059006
art	0.0589256
piece	0.0588939
"marketing campaign"	0.0588751
restaurant	0.0588339
food	0.0587302
"stump speech"	0.0586759
question	0.0586756
machine	0.0586457
"sound bite"	0.0586373
equipment	0.0584884
company	0.0583512
address	0.0583474
initiative	0.0582029
effort	0.0581654
form	0.0581557
criticism	0.0581098
proposal	0.0579972
car	0.0578831
ticket	0.0578503
construction	0.0578287
"telephone call"	0.0578271
propaganda	0.0576329
"real estate"	0.0574599
information	0.0574131
document	0.0573842
system	0.0573406
offering	0.0572977
classic	0.0572785
item	0.0572552
display	0.0572219
device	0.0571586
dance	0.0571254
communication	0.0570659
literature	0.0569594
animation	0.0568911
poll	0.0568685
education	0.0568079
store	0.0566625
development	0.0565937
column	0.0565691
fund	0.0564695
market	0.0564644
stunt	0.0564635
content	0.0564299
primary	0.0564169
study	0.0563996
voice	0.0563707
theater	0.0563673
advertiser	0.0563416
Mail	0.0563141
Computer	0.0562127
))
("commercial activity" (desc 4620.14) (sims
"business activity"	0.149242
"social activity"	0.117968
commerce	0.0844015
"trading activity"	0.0811275
"e- commerce"	0.0799905
afforestation	0.0775762
reclamation	0.0768657
dissemination	0.0755391
"insurance business"	0.0752173
shipping	0.0751988
e-commerce	0.0740422
tourism	0.0738276
"drug trade"	0.0731338
"sexual activity"	0.0722155
mining	0.0718761
homeownership	0.0711657
transportation	0.071139
"investment climate"	0.0707318
"deficit spending"	0.0704325
"oil production"	0.070313
"housing sale"	0.0692499
logging	0.0686958
"human activity"	0.0686875
"price cutting"	0.0677807
"co- operation"	0.0663938
urbanization	0.0654257
"investor confidence"	0.0654148
"sales promotion"	0.0651969
"electronics industry"	0.0646073
poaching	0.0645896
"slave trade"	0.0644087
manoeuvre	0.0636248
"high technology"	0.063359
self-employment	0.0633345
exploration	0.063327
opening-up	0.0630614
"vocational education"	0.0629652
manufacturing	0.0628392
farming	0.0627547
"educational institution"	0.0626285
"Multimedia Super Corridor"	0.061877
"extracurricular activity"	0.0617425
cultivation	0.0615152
"subversive activity"	0.0610789
lending	0.0609973
diplomacy	0.0607917
processing	0.060582
recruitment	0.0602695
"family planning"	0.0601627
e-business	0.0601093
"securities market"	0.0595182
"consumer demand"	0.0594089
"medical practice"	0.0592719
remittance	0.0589204
innovation	0.058555
"child welfare agency"	0.0584825
gambling	0.0584746
commercialization	0.0584393
undertaking	0.0584059
refining	0.0582774
"drug business"	0.0582692
utilization	0.0582208
Proliferation	0.0575218
"futures trading"	0.0575099
"sales outlet"	0.0574254
"subject area"	0.0572847
exploitation	0.0572838
"financial center"	0.0571691
fishing	0.0570433
"retail sale"	0.0569243
importation	0.0568534
"air travel"	0.0563993
"chain store"	0.0563655
homepages	0.0560954
"environmental condition"	0.0560395
smuggling	0.0559389
lawlessness	0.0556957
"information technology"	0.0556502
"military action"	0.0556086
"animal husbandry"	0.0553865
interaction	0.0549046
"marketing effort"	0.0548734
navigation	0.0546184
"education program"	0.0545735
"medical institution"	0.0544966
prostitution	0.0544781
"trade route"	0.0543746
"military mission"	0.0543441
volunteerism	0.0543316
"educational activity"	0.0538778
coverup	0.0536109
Eco-tourism	0.0536038
"social organization"	0.0535009
industrialization	0.0533663
"educational program"	0.0533577
trafficking	0.0533339
deforestation	0.0532532
dealings	0.0532371
"construction industry"	0.0532348
"sex act"	0.053089
transit	0.0529019
"transportation system"	0.0528619
brinksmanship	0.052835
postings	0.0528078
pornography	0.052703
"war game"	0.0526256
"investor interest"	0.0524987
endeavor	0.0523201
circulation	0.0522912
"military training"	0.0522438
uptrend	0.052055
"securities business"	0.0520388
enforcement	0.0518741
"organized crime"	0.0518544
"consumer credit"	0.0516816
dumping	0.0516482
drilling	0.0516381
wholesale	0.051478
"commercial enterprise"	0.0514139
carrying	0.0512901
linkage	0.0512008
salinity	0.0510913
ridership	0.0509731
setting-up	0.0507759
"drug trafficking"	0.0507061
"free trade"	0.0506416
"collective bargaining"	0.0506323
"retail operation"	0.0505643
bio-diversity	0.0505432
usage	0.0505163
piracy	0.0504868
"industrial enterprise"	0.0504594
"sphere of influence"	0.0504013
"public transport"	0.050314
"training program"	0.0502761
"health service"	0.0502516
"decision making"	0.0502492
propaganda	0.0502204
"international flight"	0.0501167
"public utility"	0.0500759
"business relation"	0.0500564
"non-governmental organizations"	0.0495776
extraction	0.0494947
"corporal punishment"	0.0494466
pricing	0.049318
"military drill"	0.0493033
specialization	0.0492968
"road construction"	0.0491699
"money supply"	0.0491076
harder	0.0490959
hunting	0.0489714
Posting	0.0489669
"member bank"	0.0489643
entrepreneurship	0.0489171
SOEs	0.0487443
websites	0.0487281
"information service"	0.0487159
"armed robbery"	0.0485978
"trade relation"	0.0485449
"vocational training"	0.0484852
"trade barrier"	0.0484568
SMIs	0.0484487
"social service"	0.0484395
recreation	0.0484177
"consumer interest"	0.0483406
FDI	0.0482809
colloquy	0.0482617
subsector	0.0482241
"national income"	0.0481954
monitoring	0.0481493
fixing	0.0480348
pooling	0.0479416
"business sector"	0.0478761
"securities trading"	0.0477768
dialog	0.0477153
destabilization	0.0477041
overflights	0.0475142
banditry	0.0475114
"motor vehicle"	0.0475031
"travel agency"	0.0474669
"distribution system"	0.0474334
"trade union"	0.0473083
"arms deal"	0.0472106
"public security"	0.0471579
alleviation	0.0471348
"soil erosion"	0.0470905
"financial organization"	0.047052
deal-making	0.0470114
"money laundering"	0.0469616
"mass transit"	0.0469509
designing	0.0469353
modernization	0.0467443
"merger talk"	0.046743
expansionism	0.0466904
personalization	0.0466641
conservation	0.04666
mobility	0.0466399
surveillance	0.0466197
"employment growth"	0.0465613
"manual labor"	0.0464658
))
("commercial bank" (desc 46267.9) (sims
"financial institution"	0.260514
bank	0.252624
"central bank"	0.165332
"insurance company"	0.163588
"finance company"	0.158871
enterprise	0.155047
corporation	0.15322
insurer	0.148711
firm	0.145016
lender	0.142526
institution	0.137873
"banking system"	0.136751
"insurance firm"	0.133054
company	0.12919
airline	0.127952
sector	0.126083
brokerage	0.125257
"financial organization"	0.12421
"state enterprise"	0.124203
"industrial enterprise"	0.120519
"merchant bank"	0.118382
conglomerate	0.11831
Banks	0.118241
exporter	0.11798
"brokerage firm"	0.116056
automakers	0.114469
manufacturer	0.111707
"World Bank"	0.111625
creditor	0.111367
cooperative	0.110787
"life insurer"	0.110581
"local government"	0.109075
carrier	0.108877
"International Monetary Fund"	0.108194
"Russian bank"	0.108037
agency	0.107168
"Bank of China"	0.106746
"State Development Bank"	0.105436
"travel agency"	0.104338
"brokerage house"	0.104
fund	0.103472
"banking industry"	0.103306
subsidiary	0.102987
"Bank of Japan"	0.102932
"shipping company"	0.10237
investor	0.101851
entity	0.10176
"stock exchange"	0.100977
"telephone company"	0.0998974
"power company"	0.0998026
"pension fund"	0.0991803
"China Construction Bank"	0.0988582
"Agricultural Bank of China"	0.0988446
borrower	0.0984851
IMF	0.0984753
utility	0.0980019
branch	0.0973769
industry	0.0966133
business	0.0965649
"political party"	0.0965363
"mining company"	0.0963234
"phone company"	0.0961877
"Asian Development Bank"	0.0961564
"investment fund"	0.0961438
SOEs	0.0956831
multinationals	0.0953364
"building society"	0.0950539
operator	0.0948111
"federal government"	0.0937333
employer	0.0933633
broker	0.0930149
government	0.0927464
"joint venture"	0.0921503
ministry	0.0916176
parastatals	0.0915478
provider	0.0904202
retailer	0.0897703
"Deutsche Bank"	0.0887856
importer	0.0887324
ICBC	0.0883155
supplier	0.0882809
businessmen	0.0880095
organization	0.087886
individual	0.0872064
farmer	0.085524
"national bank"	0.0854434
"mutual fund"	0.0850258
"credit union"	0.0848064
"state-owned enterprises"	0.0844703
state-owned	0.0844104
"steel company"	0.0842445
steelmaker	0.0838973
"Finance Ministry"	0.0838836
"holding company"	0.0838348
"Bangkok Bank"	0.0834437
university	0.0834328
"Construction Bank of China"	0.0832904
"Long-Term Credit Bank"	0.0830455
automaker	0.0825296
foreigner	0.0825227
"savings bank"	0.0822097
BOC	0.0816819
"trading partner"	0.0813411
ADB	0.081275
"commercial enterprise"	0.0810783
"business community"	0.0809989
institute	0.0805747
giant	0.0804682
"futures exchange"	0.0804205
market	0.0802715
"auto maker"	0.0802072
banking	0.0800467
currency	0.0799842
"securities market"	0.0798954
dealer	0.0797178
department	0.0796632
SDB	0.0794119
"trade union"	0.0793666
"international organization"	0.0787299
developer	0.0785404
"Industrial and Commercial Bank of China"	0.0784349
HMO	0.0784194
locality	0.0779074
industrial	0.0778336
"European Investment Bank"	0.0776775
investment	0.0770544
debtor	0.0770107
contractor	0.0769646
treasury	0.0768684
"investment house"	0.0765246
municipality	0.0763795
"electronics company"	0.0763277
trader	0.0762421
economy	0.0761148
donor	0.0758618
consumer	0.0756925
"educational institution"	0.0756521
shipbuilder	0.0755876
refiner	0.075499
loan	0.0754597
producer	0.0752644
CCB	0.0752309
authority	0.075159
factory	0.0750465
wholesaler	0.0749103
"reserve bank"	0.0749094
"International Development Association"	0.0747879
SMEs	0.0746897
"school district"	0.0746738
customer	0.0744167
"stock market"	0.074412
maker	0.0741575
affiliate	0.0739878
project	0.073741
"business sector"	0.073696
"auto company"	0.0734808
"cable operator"	0.0734747
venture	0.0734043
"oil producer"	0.0733796
entrepreneur	0.0731924
"car manufacturer"	0.072667
seller	0.0723405
Eximbank	0.0723382
IDB	0.0723181
"Ministry of Finance"	0.0721205
depositor	0.0719644
"Standard Chartered Bank"	0.0718894
citizen	0.0718347
"oil refinery"	0.0717155
"African Development Bank"	0.0715474
buyer	0.071253
carmakers	0.0711443
"bank deposit"	0.0710739
"lending institution"	0.0708075
thrift	0.0707678
issuers	0.070764
"member country"	0.070548
"television station"	0.0703347
"health maintenance organization"	0.0702876
"European Central Bank"	0.0702121
Citibank	0.0701992
"Bank of Thailand"	0.0701585
NGOs	0.0699764
joint-ventures	0.0699578
"accounting firm"	0.0699548
export	0.0699166
Gazprom	0.0699123
"Credit Suisse"	0.0696459
"foreign exchange"	0.06946
"money supply"	0.0691927
grower	0.0691585
"car maker"	0.0690926
"European nation"	0.0690881
hospital	0.068926
"food company"	0.0688988
consortium	0.0688382
"Asian country"	0.068831
brewery	0.0686477
"defense contractor"	0.0686329
distributor	0.0686284
))
("Commercial Bank of China" (desc 1511.07) (sims
"Industrial and Commercial Bank of China"	0.308676
"Agricultural Bank of China"	0.306764
"China Construction Bank"	0.256575
"Construction Bank of China"	0.218186
"Bank of China"	0.179765
"State Development Bank"	0.173882
"Bank of Communications"	0.15297
ICBC	0.106847
"Shanghai Branch"	0.100762
"State Administration of Foreign Exchange"	0.0914181
"China Southern Airlines"	0.087637
SDB	0.0808513
"Beijing Municipal Government"	0.0793801
"Ministry of Civil Affairs"	0.0789508
"Hong Kong Monetary Authority"	0.0789133
Eximbank	0.0769067
"China Securities Regulatory Commission"	0.0705979
"Ministry of Public Health"	0.0704958
"Standard Chartered Bank"	0.0661306
"State Administration of Taxation"	0.0661256
"China Youth Development Foundation"	0.0658035
BOC	0.0647823
CCB	0.0638229
"Hang Seng Bank"	0.0607121
"General Administration of Customs"	0.0605448
"KLM Royal Dutch Airlines"	0.0588692
"Ministry of Finance"	0.0584814
Ltd	0.0575868
"Public Security Ministry"	0.0565535
"Macao Government"	0.0548223
"Societe Generale"	0.0543282
"China Telecom"	0.0540998
"International Finance Corporation"	0.0532827
"Secretary General Boutros Boutros-Ghali"	0.053112
CSRC	0.0530901
CAAC	0.0530253
"State Planning Commission"	0.0524775
CDB	0.0518474
CCPIT	0.0511971
"European Bank for Reconstruction"	0.0510371
"British government"	0.0505939
SDPC	0.0497768
GPU	0.0486635
Ltd.	0.0485726
"Ministry of Agriculture"	0.04855
"State Economic and Trade Commission"	0.0483919
"Sdn Bhd"	0.0483669
Zhangjiagang	0.0480756
"European Investment Bank"	0.0479099
MBNA	0.0479011
"Ministry of Communications"	0.0478639
"State Administration of Cultural Heritage"	0.0476125
"Macao Affairs Office"	0.0474989
"billion over @@ years"	0.0468609
SSE	0.0468158
"Shanghai Stock Exchange"	0.0462537
MOFTEC	0.0459874
Unicom	0.0458448
"BellSouth Corp."	0.0456788
CCF	0.0454077
"People's Bank of China"	0.0447363
EBRD	0.0442991
"Bank of Tokyo-Mitsubishi"	0.0441927
"State Development Planning Commission"	0.0439872
HKMA	0.0438768
"member bank"	0.0436413
"Ford Motor Company"	0.0434797
"Industrial Bank of Japan"	0.0430418
NCEC	0.0429893
bureaux	0.0428227
"State Education Commission"	0.0422342
"ABN AMRO"	0.0420974
Ruthardt	0.0417178
CIRC	0.0412458
USAID	0.0412377
"Ministry of Labor"	0.0410049
"Civil Aviation Administration of China"	0.0409636
"State Flood Control"	0.0407559
"All-China Journalists Association"	0.040608
"Department of Trade and Industry"	0.0405169
"Sumitomo Bank"	0.0403085
"State Bureau of Environmental Protection"	0.0403081
Autodesk	0.040015
))
("commercial enterprise" (desc 3401.72) (sims
"industrial enterprise"	0.14315
"private corporation"	0.109767
"chain store"	0.10854
"insurance firm"	0.107581
"work unit"	0.104024
"travel agency"	0.100587
"state enterprise"	0.0991194
transnationals	0.0953172
"shipping company"	0.0943436
"social organization"	0.0924549
"financial institution"	0.0904978
parastatals	0.0895779
"financial organization"	0.0877971
multinationals	0.0872489
foreign-funded	0.085328
state-owned	0.0838575
medium-sized	0.0814883
joint-ventures	0.0812291
"commercial bank"	0.0810783
"retail operation"	0.0803767
"stock company"	0.0782589
"educational institution"	0.0775256
"business enterprise"	0.0773189
"development center"	0.0769865
"sailing vessel"	0.0767718
"subsidiary company"	0.0758095
"flour mill"	0.0752513
"paper mill"	0.0743679
"local department"	0.0742593
"steel company"	0.0731337
"sales outlet"	0.0730944
"public utility"	0.0726828
NGOs	0.0725446
businesspeople	0.0724096
enterpreneurs	0.0719348
"insurance company"	0.0715032
shipbuilder	0.0714639
"joint-stock company"	0.0708482
"finance company"	0.0706569
"professional association"	0.0705733
teahouse	0.0704044
"UN agency"	0.0703786
"business organization"	0.07002
"social group"	0.0697451
bureaux	0.0693153
"copper mine"	0.0692891
corporates	0.0692727
SOEs	0.0690511
"religious school"	0.068945
"non-governmental organizations"	0.0683208
laid-offs	0.0678361
"big leaguer"	0.0674727
SMIs	0.0671957
"business interest"	0.0670149
steelmaker	0.0668069
SEZs	0.0665692
"state-owned enterprises"	0.0664174
"building society"	0.0663837
"medical institution"	0.0660138
"trade union"	0.0657443
PACs	0.0650518
"retail store"	0.0646273
"Internet Service Providers"	0.064599
"power company"	0.0635713
"retail chain"	0.0635176
locality	0.0633386
bureaus	0.0632319
"Russian bank"	0.0625262
cooperative	0.0623523
resellers	0.0617863
bed-and-breakfasts	0.0617818
EPZs	0.0617413
"mining company"	0.0617152
REITs	0.0616984
"Zambia Consolidated Copper Mines"	0.0614004
"regulatory agency"	0.0609603
"insurance market"	0.0608074
ISPs	0.0607143
"business community"	0.0606409
shipper	0.0600872
"Market system"	0.0600795
"branch office"	0.0600221
stadia	0.0599704
"private foundation"	0.0597592
bottlers	0.0594522
stakeholder	0.0594402
godown	0.0592422
"temporary worker"	0.0592309
CCB	0.059138
"China Telecom"	0.0590537
"trunk line"	0.0588566
payer	0.058742
Ltd	0.0585157
nightspots	0.0584738
"real estate developer"	0.0584007
"textile mill"	0.058323
"work group"	0.0582663
wholesaler	0.0582228
"educational activity"	0.0580938
"oil refinery"	0.0580112
"publishing company"	0.0577747
illegals	0.0577693
vintner	0.057612
ZCCM	0.0575915
brewery	0.0575026
"Southern Democrats"	0.0574391
Industrialist	0.0573269
Projects	0.0572849
"minority shareholder"	0.0569779
"shopping center"	0.0568548
"transportation company"	0.0567904
"savings bank"	0.0567902
"landscape painting"	0.0564662
"electronics industry"	0.0563438
"publishing house"	0.056332
"futures exchange"	0.0561528
megaplexes	0.0561062
"electronics company"	0.0560473
"manufacturing plant"	0.0560067
non-Albanians	0.0557957
spinoffs	0.0556741
"secondary school"	0.0555825
storehouse	0.0555155
"business sector"	0.0554855
"opera company"	0.0554415
"ring road"	0.0553869
"industrial park"	0.0552728
Hawaiians	0.0551757
nonprofits	0.0551113
SMEs	0.0550683
"food company"	0.0549566
conglomerate	0.0548281
"cash machine"	0.0548265
"distribution network"	0.0548073
Mozambican	0.0547474
urbanites	0.0547188
"Baby Bells"	0.0546357
"more than @ billion yuan"	0.0546101
metropolises	0.0543118
"radio telescope"	0.0543044
"telephone company"	0.0540717
spas	0.0540584
meatpackers	0.0540255
celebs	0.0540043
"botanical garden"	0.0538977
"motor vehicle"	0.0537091
"entitlement program"	0.0537063
"securities market"	0.0535259
hydropower	0.0535133
"vocational school"	0.0534753
"surveillance system"	0.0534582
"railway system"	0.0534369
"housing development"	0.0533505
pawnshop	0.0533149
"water company"	0.0532122
"recreational facility"	0.0531927
"development organization"	0.0531383
major-leaguers	0.0531245
"home buyer"	0.0530765
"brokerage house"	0.0530593
mainlanders	0.0527808
insurer	0.052774
granary	0.0527312
"municipal government"	0.0527212
Beijingers	0.0527068
"technical school"	0.0523342
"political movement"	0.0522372
shipyard	0.0522331
"bus company"	0.0522115
"department store"	0.0521709
"base of operations"	0.0519385
"gambling casino"	0.0519326
"United Nations agency"	0.0517728
hotspots	0.0516607
"production facility"	0.0514241
"commercial activity"	0.0514139
"banking industry"	0.0514095
scalpers	0.0513246
"line of products"	0.0512895
"insurance agent"	0.0512796
multimillionaires	0.0512609
"auto company"	0.0511601
"stock exchange"	0.0511009
"ad agency"	0.0510577
"research center"	0.0510407
Moslem	0.0510025
freelancers	0.0509698
"holiday resort"	0.0509615
"wage earner"	0.0509336
"life insurer"	0.0508449
incubator	0.0507888
"investment trust"	0.0507858
"tea house"	0.0507757
"shopping mall"	0.0506613
"day laborer"	0.0506171
tannery	0.0505865
websites	0.0504109
dot-coms	0.0503704
dealerships	0.0502001
foundations	0.0501537
))
("commercial law" (desc 1230.42) (sims
"administrative law"	0.142582
"Civil Rights Act"	0.113148
"Clean Water Act"	0.108164
"criminal law"	0.10275
"civil law"	0.0990189
"right to privacy"	0.0917069
"legal instrument"	0.089182
"economic theory"	0.0862593
"legal document"	0.085035
"building code"	0.084258
"rule of evidence"	0.0834231
"property right"	0.0830299
"penal code"	0.0818856
bylaw	0.0818814
"maritime law"	0.0809804
Ordinance	0.077616
"bankruptcy law"	0.0764437
"legal principle"	0.0758354
"antitrust law"	0.0717947
Sharia	0.0715854
zoning	0.0703294
"Disabilities Act"	0.0702026
"Title VII"	0.0696077
"Community Reinvestment Act"	0.0690559
"ABM Treaty"	0.0689901
"biological science"	0.0688088
"U.S. Constitution"	0.0686942
"Maastricht Treaty"	0.068151
"code of conduct"	0.0675644
"patent right"	0.0669905
"labor contract"	0.0654115
"Criminal Procedure Law"	0.0640687
"Geneva convention"	0.0618614
aeronautics	0.0615196
"Star Alliance"	0.0613942
meteorology	0.0613149
curricula	0.0604222
"United Nations Charter"	0.0598561
"Clean Air Act"	0.05929
"safety standard"	0.0592145
Shariah	0.0586443
seismology	0.0585961
"internal control"	0.056578
"Anti-Ballistic Missile Treaty"	0.0564358
"civil engineering"	0.0559927
"medical science"	0.0558262
"Macao Government"	0.055575
blackbird	0.0555627
psychiatry	0.0553338
"Endangered Species Act"	0.0552041
"Voting Rights Act"	0.0538017
lawmaking	0.0535865
"tax system"	0.0535644
"Article @"	0.0532368
Helms-Burton	0.0525386
"political economy"	0.0524547
ophthalmology	0.0520277
"social assistance"	0.0518136
ABM	0.0517797
syllabus	0.0517176
"atomic energy"	0.0511769
"nuclear energy"	0.0506275
Botany	0.0504678
"Title IX"	0.0504605
IPR	0.050391
"life science"	0.0503481
"educational activity"	0.0498758
nanotechnology	0.0494059
"Fourth Amendment"	0.0492212
"baseball diamond"	0.0489471
"American Psychiatric Association"	0.0486599
"service contract"	0.0477835
"nuclear physics"	0.0475037
stipulation	0.0474449
"trade embargo"	0.0471864
"co- operation"	0.0466499
standardization	0.0466248
dilation	0.046624
"Lusaka Peace Accord"	0.0465722
"Lome Convention"	0.0465272
"U.N. Resolution @@@"	0.0465141
"Self-Defense Forces"	0.0463859
"information science"	0.0463032
"attorney-client privilege"	0.0463005
"freedom of speech"	0.0460241
Immunology	0.0460132
"law of nature"	0.0459586
agro-techniques	0.0456594
facilitation	0.0453229
SDMI	0.0452012
"legal code"	0.0449055
"social science"	0.0447536
sub-projects	0.0445835
"cosmetic surgery"	0.0444525
"social insurance"	0.0443791
"counsel law"	0.044343
"customs duty"	0.0440973
"rating system"	0.0437263
"Olympic Committee"	0.0436112
"employment contract"	0.0435071
"basic concept"	0.0434778
harmonization	0.0434151
"communication network"	0.0433118
notary	0.0431553
"data communication"	0.04305
ADP	0.042666
"sugar beet"	0.0425514
rulebook	0.0424902
Talmud	0.0422473
"Vienna Convention"	0.0422134
automation	0.0421964
microbiology	0.0420263
confidentiality	0.0417371
"defense policy"	0.0415606
"preventive medicine"	0.0415069
machine-building	0.0412169
angiogenesis	0.0411951
"Kosovo Verification Mission"	0.0411656
"distribution network"	0.0409456
"instrument panel"	0.0409415
anthropology	0.0408565
"veterinary medicine"	0.0407386
PICC	0.0406575
"information gathering"	0.0406519
geophysics	0.0404267
"trade area"	0.0403454
nonproliferation	0.0403063
Japan-U.S.	0.0402823
"artificial intelligence"	0.0401078
))
("commercial paper" (desc 1641.45) (sims
"convertible bond"	0.172048
"Treasury bill"	0.159985
"preferred stock"	0.155853
"promissory note"	0.15324
Eurobonds	0.141524
T-bill	0.135328
"Treasury bond"	0.133615
"stock certificate"	0.120168
"certificate of deposit"	0.117526
debenture	0.117196
"municipal bond"	0.115773
"debt security"	0.114666
"Treasury note"	0.111798
T-bonds	0.106838
"junk bond"	0.100909
"B share"	0.0942575
overdraft	0.0911866
Eurobond	0.090078
"export credit"	0.0874426
"debt issue"	0.0835405
"options contract"	0.0814032
"letter of credit"	0.0789735
"traveler's check"	0.0787448
"farm machine"	0.0786235
"bond fund"	0.0753514
"bank note"	0.0727566
"common shares"	0.0692585
B-shares	0.0664337
"bank deposit"	0.0650312
"money market"	0.0634745
"bond issue"	0.0632078
"train ticket"	0.0619336
"trust account"	0.0616497
"parking ticket"	0.0608728
IOU	0.0606172
"investment fund"	0.0596805
medium-term	0.0595974
scrip	0.0595417
"savings bond"	0.0589563
"equity market"	0.057997
Mfume	0.0578608
"disability insurance"	0.0573727
"life insurance"	0.05691
"pet food"	0.0566555
corporates	0.0566376
FOREX	0.0558297
"blue-chip stock"	0.0554238
"bank card"	0.0544365
emulator	0.0534425
"precious metal"	0.0531123
"airplane ticket"	0.052239
detoxification	0.0520692
"work permit"	0.0520169
"home mortgage"	0.0519258
receivables	0.0518982
melatonin	0.0508521
"purchase order"	0.0508134
"official document"	0.0507302
"time deposit"	0.0496639
"consumer loan"	0.0494198
postage	0.049151
tenancy	0.0490737
"postage stamp"	0.0487969
foreclosure	0.0486622
e-BOOKS	0.0484638
"benefit program"	0.0481314
"theater ticket"	0.0480159
cheque	0.047898
"bond trading"	0.0477174
"car insurance"	0.0476412
easements	0.0475708
"common stock"	0.0475096
"hard drug"	0.0471688
buybacks	0.0470989
"earnings disappointment"	0.0467242
"service contract"	0.046014
trinket	0.0458615
RVs	0.0458334
peripheral	0.0457368
zloty	0.0454272
Banknote	0.045426
"bond offering"	0.0450228
A-shares	0.0446291
"round-trip ticket"	0.0441927
Orangina	0.0439266
"consumer credit"	0.0438511
"bad debt"	0.0437298
"media property"	0.0437021
B-@s	0.0436396
invoice	0.0433116
"stock buyback"	0.0429316
encyclical	0.0428761
"software package"	0.0428618
"historical document"	0.0426088
LSD	0.0425902
"personal loan"	0.0424983
palliative	0.0421622
Impressionist	0.042154
NHS	0.0419596
"software product"	0.0417409
"minority stake"	0.0415527
IDD	0.0413141
"Medicare HMO"	0.0411574
"adult education"	0.0411082
"contact lense"	0.0406904
"management expert"	0.0405614
KIMCHI	0.0404363
"credit line"	0.0403736
NPLs	0.0402351
"building permit"	0.040225
"baseball card"	0.0401498
CFCs	0.0400007
))
(commercialism (desc 6841.26) (sims
materialism	0.10333
commercialization	0.0806399
partisanship	0.0716711
hypocrisy	0.0711293
craziness	0.0708162
homophobia	0.0707947
greed	0.0682791
cynicism	0.0657193
stupidity	0.0656286
opportunism	0.0654698
sensationalism	0.0633354
consumerism	0.0630183
Capitalism	0.0627158
paranoia	0.0619392
arrogance	0.0619027
selfishness	0.0617245
hype	0.0617091
inequity	0.0609293
misogyny	0.0604364
racism	0.0602282
imperialism	0.0580606
sexism	0.0559701
globalisation	0.0558709
anti-Semitism	0.0532635
affluence	0.0530626
lawlessness	0.0509547
avarice	0.050908
Elitism	0.050472
individualism	0.0504614
boosterism	0.0497683
foolishness	0.0495903
Indiscipline	0.0490434
urbanization	0.0489516
politicization	0.0480415
sentimentality	0.0477868
lust	0.0475697
voyeurism	0.0475237
sprawl	0.0474953
prejudice	0.0471876
altruism	0.0469045
titillation	0.0466876
callousness	0.0465914
"class warfare"	0.0464462
incompetence	0.0463531
immorality	0.0463129
favoritism	0.045907
disloyalty	0.0457927
protectionism	0.0456236
"human activity"	0.045474
sexuality	0.045146
rip-off	0.0451048
looting	0.0449131
piracy	0.0446027
realism	0.0444778
cronyism	0.0444359
misery	0.0443567
egotism	0.0443033
hatred	0.0442658
religiosity	0.0441204
irony	0.0440302
deception	0.0438857
vulgarity	0.0437567
"drug abuse"	0.0436985
self-promotion	0.0436112
pretension	0.0435094
exploitation	0.0434605
globalization	0.0434053
"crime wave"	0.0433301
provocateurs	0.0432575
edginess	0.0430928
deforestation	0.0426928
gamesmanship	0.0426826
homelessness	0.0426333
inhumanity	0.0425732
bigotry	0.0425335
idiocy	0.042478
anarchy	0.0424601
hokum	0.0421949
gimmick	0.0421727
correctness	0.0421439
conservatism	0.0420428
cowardice	0.0419503
contradiction	0.0418946
glamour	0.0418848
superficiality	0.0418272
Schmaltz	0.041691
nepotism	0.0416235
hysteria	0.0415841
savagery	0.0415535
cruelty	0.0414804
pessimism	0.041471
indifference	0.0414185
dishonesty	0.0413484
madness	0.0408492
vote-buying	0.0405786
blacklist	0.0405498
inequality	0.04053
eclecticism	0.0402206
sadism	0.0400951
hoopla	0.040082
))
(commercialization (desc 10431.1) (sims
industrialization	0.181067
modernization	0.122289
Privatization	0.118902
popularization	0.118899
internationalization	0.116414
urbanization	0.115417
dissemination	0.111746
deregulation	0.107154
Liberalization	0.10163
privatisation	0.100625
utilization	0.100084
upgrading	0.0997304
diversification	0.0981188
"practical application"	0.0940802
globalization	0.0940176
consolidation	0.0938535
mechanization	0.0915009
localization	0.0913015
restructuring	0.0910057
readjustment	0.0907856
democratization	0.0897689
standardization	0.0893313
innovation	0.0883629
integration	0.0875067
transformation	0.0864697
Promotion	0.0844868
exploration	0.0843372
reorganization	0.0822381
revitalization	0.0820244
computerization	0.0819901
exploitation	0.0814502
recapitalization	0.0807686
divestiture	0.0807372
commercialism	0.0806399
redistribution	0.0803671
afforestation	0.0794277
decentralization	0.0788022
alleviation	0.0787808
"product development"	0.0762876
sustainability	0.0749236
opening-up	0.0732321
downsizing	0.0729706
specialization	0.0726135
"deficit spending"	0.0720031
reemployment	0.071716
nationalization	0.071625
"business activity"	0.0713282
distribution	0.0710599
expansion	0.0710046
preservation	0.0706512
retrenchment	0.0704209
"road construction"	0.0700803
creation	0.0696123
liquidation	0.0695176
Convergence	0.0694373
deforestation	0.06943
advancement	0.0688964
"land reform"	0.0685097
eradication	0.0679009
competitiveness	0.067792
pervasiveness	0.0674699
processing	0.0670493
rehabilitation	0.0668456
conservation	0.0667931
Proliferation	0.0667676
resettlement	0.0664886
Implementation	0.0664519
"free trade"	0.0664153
procurement	0.0663383
homeownership	0.066094
financing	0.0657897
"housing sale"	0.0656259
interdependence	0.0655797
disinvestment	0.0655151
availability	0.0655057
erosion	0.0653914
infrastructure	0.0653461
empowerment	0.0651038
e-business	0.0650727
redevelopment	0.0650592
"rapid growth"	0.0648492
"business development"	0.064782
improvement	0.064607
rationalization	0.0645996
assimilation	0.0641048
legalization	0.0640539
harmonization	0.0639714
mobilization	0.0638787
cleanup	0.0638569
efficiency	0.0635333
"family planning"	0.0634668
productivity	0.0634388
entrepreneurship	0.0632105
viability	0.0630807
absorption	0.0630792
electrification	0.0627808
recycling	0.0627273
reforestation	0.0627233
politicization	0.0625968
adoption	0.0624705
oversupply	0.0623781
diversity	0.0621805
militarization	0.062177
relocation	0.0618918
restoration	0.0613678
governance	0.0613629
licensing	0.0612735
socialization	0.0612602
privatizations	0.0611668
"vocational education"	0.0610782
reconstruction	0.0610339
tourism	0.0608822
renovation	0.0607926
materialism	0.060376
recruitment	0.0601565
streamlining	0.0601371
awareness	0.0598305
fragmentation	0.0598092
evaporation	0.0596474
adjustment	0.0595077
enlargement	0.0593331
merging	0.0591613
marketing	0.0589305
retooling	0.058855
reclamation	0.0588039
rebuilding	0.0586302
"commercial activity"	0.0584393
"market reform"	0.0584025
automation	0.0582825
emergence	0.0579437
convertibility	0.0578943
taxation	0.0578918
participation	0.0576642
depletion	0.0575037
rejuvenation	0.0573927
introduction	0.0573238
realignment	0.0573213
overuse	0.0572167
"cost cutting"	0.0570846
rollout	0.0569062
repatriation	0.0568742
outreach	0.056633
piracy	0.056343
"information technology"	0.0562512
registration	0.0560258
Americanization	0.0560227
"quality control"	0.0557905
conversion	0.0557541
mushrooming	0.0556408
dismantling	0.0556218
regionalization	0.0555416
multi-polarization	0.0553633
breeding	0.0552273
stabilization	0.0551236
incorporation	0.055051
logistics	0.0549672
reunification	0.0549485
decoding	0.0549211
literacy	0.0548501
"consumer demand"	0.0548322
overhaul	0.0547254
biodiversity	0.0545635
undertaking	0.0545487
overproduction	0.0545081
facilitation	0.0543363
importation	0.0543038
deployment	0.0542923
exportation	0.0542777
dearth	0.0542669
usage	0.0540682
expropriation	0.0539794
destruction	0.0538888
extraction	0.0538228
sensitization	0.0536838
globalisation	0.0536584
cultivation	0.0534488
sharing	0.0533811
"vocational training"	0.0533393
consumption	0.0530851
commerce	0.0530501
employment	0.0529992
bundling	0.0529683
"tax collection"	0.0529351
agriculture	0.0529273
misuse	0.0527676
"population control"	0.0527419
validation	0.0525559
lending	0.052494
penetration	0.0524554
logging	0.0521957
transparency	0.0521508
"trade policy"	0.0521047
pollution	0.0520774
profitability	0.0520626
abolition	0.0520225
encroachment	0.0519635
linkage	0.0519187
manufacturing	0.051723
issuance	0.0515656
influx	0.0514478
))
(Commerzbank (desc 2357.01) (sims
"NationsBanc Montgomery Securities"	0.244414
"ABN AMRO"	0.226902
"Dresdner Bank"	0.212023
"ING Barings"	0.20927
"Warburg Dillon Read"	0.206106
"Deutsche Bank"	0.197407
"Lehman Brothers"	0.185545
HSBC	0.178048
Paribas	0.170587
"CS First Boston"	0.165843
"RAND Corp."	0.165745
"Paine Webber"	0.158982
"Morgan Stanley Dean Witter"	0.157688
"Donaldson, Lufkin &AMP; Jenrette"	0.154628
"Societe Generale"	0.154379
"Credit Suisse First Boston"	0.153266
"Goldman Sachs"	0.151571
DRI	0.150728
"Bank of America"	0.149551
PaineWebber	0.14847
"BancBoston Robertson Stephens"	0.146375
"Goldman Sachs &AMP; Co."	0.144599
"Merrill Lynch &AMP; Co."	0.144198
"Merrill Lynch"	0.140538
"Credit Suisse"	0.138118
"Prudential Securities"	0.137121
"J.P. Morgan"	0.137061
Viag	0.134444
"Morgan Stanley"	0.131609
"Hambrecht &AMP; Quist"	0.129836
"Bankers Trust"	0.128842
NTL	0.126109
Banc	0.123879
"Goldman, Sachs &AMP; Co."	0.123484
"Bear Stearns"	0.122579
"American Enterprise Institute"	0.121836
"Cato Institute"	0.121376
BankAmerica	0.120687
Goldman	0.118159
"Salomon Smith Barney"	0.117762
"Urban Institute"	0.116438
Dresdner	0.116121
"Standard Chartered Bank"	0.114965
IDC	0.11488
"Legg Mason"	0.114627
McKesson	0.113108
NatWest	0.112809
"Edward Jones"	0.112556
UBS	0.111783
"International Data Corp."	0.111508
"Carnegie Endowment"	0.110443
"Nomura Securities"	0.108569
Mannesmann	0.107953
"Yankee Group"	0.106483
"Federal Reserve Bank of New York"	0.106007
"Royal Bank of Scotland"	0.105947
Citibank	0.104677
WPP	0.103898
"Center for Strategic"	0.101877
"Brookings Institution"	0.100988
VENATOR	0.100794
Daimler-Benz	0.10045
Barclays	0.0999263
"Chase Manhattan Bank"	0.0989201
Litton	0.0986863
"Chase Manhattan"	0.0981024
DAX	0.0977899
UAM	0.0971924
"Jupiter Communications"	0.0969948
"Putnam Investments"	0.096192
"HSBC Holdings"	0.0961324
"Gomez Advisors"	0.0960824
"RJR Nabisco"	0.0959274
BankBoston	0.0943932
RWE	0.0943787
TELLABS	0.0943274
AMR	0.0932524
"J.P. Morgan &AMP; Co."	0.0928405
Dataquest	0.092738
JAL	0.0923941
TYCO	0.0916865
UAL	0.0916012
"Phelps Dodge"	0.0912277
CCB	0.0899402
Terra	0.0898229
ALZA	0.0888295
XYLAN	0.0884248
"National Grid"	0.0877414
"First Union Corp."	0.0877011
"Xetra Dax"	0.0872255
"Royal Bank"	0.0867456
"Development Bank of Singapore"	0.0865568
"Heritage Foundation"	0.0865012
"Robertson Stephens"	0.0864422
"Gartner Group"	0.0859811
Starwood	0.0856351
BCE	0.084993
"Investors Service"	0.0849285
Eurotunnel	0.0849174
"Bausch &AMP; Lomb"	0.084771
Warnaco	0.0842438
"Wells Fargo"	0.0841107
"Boston Scientific"	0.0839499
"BP Amoco"	0.0837436
ENTERGY	0.0828623
Aetna	0.0823479
"J&AMP;J"	0.082072
Emulex	0.0820549
"Goldman Sachs Group"	0.0820209
"Bank of Scotland"	0.0816455
"Sanwa Bank"	0.0813875
Gilead	0.0813408
"USA Networks"	0.0806811
Donaldson	0.0803671
"T. Rowe Price"	0.0803449
"Morgan Stanley Dean Witter &AMP; Co."	0.0799356
Norwest	0.0798797
"Bank of Tokyo-Mitsubishi"	0.0797028
"Texas Instruments"	0.079637
DaimlerChrysler	0.0795556
BOC	0.0795418
Deutsche	0.0792393
Medtronic	0.0790107
"True North"	0.0789195
Omnicom	0.0785347
SmithKline	0.0783792
"Forrester Research"	0.0780399
"Levi Strauss &AMP; Co."	0.0778183
Federated	0.0775258
ICBC	0.0771403
"Center for Democracy"	0.077023
Nikko	0.0769706
EMC	0.0766513
Sunbeam	0.0763222
Genzyme	0.0762507
COLTEC	0.0758307
BofA	0.075382
Glaxo	0.0752153
Citigroup	0.0749385
"Dayton Hudson"	0.0742156
"Natural Resources Defense Council"	0.0740779
Chiron	0.073862
"Y&AMP;R"	0.0737437
VEBA	0.0737247
"P&AMP;G"	0.0737106
Nortel	0.0735899
"brokerage house"	0.0735351
"Deutsche Telekom"	0.0734616
RJR	0.0728666
"GE Capital"	0.0726838
"Gap Inc."	0.0725692
Alltel	0.0725184
"First Union"	0.0724756
"United Technologies"	0.0724396
REPSOL	0.0723676
Ciena	0.0722966
"Nippon Credit"	0.0721907
Lockheed	0.0721768
Kroger	0.0719759
NiSource	0.0719606
Pearson	0.0719175
"Waste Management"	0.0710995
"Morningstar Inc."	0.0709041
Healtheon	0.0707413
Vivendi	0.0707214
Krupp	0.0705107
Exxon	0.0703461
"Allied Signal"	0.0703262
Cendant	0.0701188
"Aetna Inc."	0.0700013
LTCB	0.069432
Telefonica	0.0690596
"Computer Associates"	0.0690001
"Washington Mutual"	0.0689926
"International Paper"	0.0685287
Cabletron	0.0685179
"Standard &AMP; Poor"	0.0685135
SBC	0.0684515
E-LOAN	0.068395
Broadcom	0.0681789
Alcan	0.0681407
F.A	0.0678762
Petrofina	0.0676359
Aegon	0.0675424
Honeywell	0.0674824
Autodesk	0.0671822
"Industrial Bank of Japan"	0.0671086
Vodafone	0.0670349
CMGI	0.0669079
Goodrich	0.0666463
Pharmacia	0.0663321
WorldCom	0.066268
"Fannie Mae"	0.0661304
Publicis	0.065993
"Bell Atlantic"	0.0659824
"Eli Lilly"	0.0658574
Unilever	0.0656059
"Salomon Brothers"	0.0655607
Gillette	0.0654639
Viacom	0.0654349
))
(Commissar (desc 2207.66) (sims
"political commissar"	0.119362
"executive officer"	0.0808703
"brigadier general"	0.0769306
"enlisted man"	0.0761949
"staff officer"	0.0744084
"Klaus Naumann"	0.0730787
"Cyril Ramaphosa"	0.0720596
minster	0.0682734
apparatchiks	0.0621557
"postmaster general"	0.0613026
"Tim Fischer"	0.0611442
"Wesley Clark"	0.060509
"Oladipo Diya"	0.0594065
"Nicholas II"	0.0592737
"Carl Bildt"	0.058911
"general staff"	0.0588748
"staff sergeant"	0.0583888
"vice chancellor"	0.0580256
"financial officer"	0.0578711
"Michael Heseltine"	0.0568972
"Prime Minister Kamal El-Ganzouri"	0.0565877
"lieutenant general"	0.0562998
Fabius	0.0560937
"lieutenant colonel"	0.0554958
prefect	0.0550207
"test pilot"	0.0549474
"Krishna Prasad Bhattarai"	0.0545143
directors-general	0.0540924
zeitgeist	0.0524067
"intelligence officer"	0.0523596
"Yuri Maslyukov"	0.0498184
attache	0.0492426
"State Law and Order Restoration Council"	0.0486769
"Tareq Aziz"	0.0481362
"commander in chief"	0.0480102
Wiranto	0.0478387
disciplinarian	0.0473064
"Shamil Basayev"	0.0472796
"wing commander"	0.0471573
bugaboo	0.0470321
Bhattarai	0.046762
"Lokendra Bahadur Chand"	0.0465216
"Ratko Mladic"	0.0463675
"Atef Obeid"	0.0462523
"Nabil Shaath"	0.0460605
"union representative"	0.0460244
"Cesar Gaviria"	0.0459405
"Boris Nemtsov"	0.045868
"Nhan Dan"	0.0458263
enlistee	0.0455654
"economic expert"	0.0454343
"Pascoal Mocumbi"	0.0452249
"Presidential Office"	0.045222
"Girija Prasad Koirala"	0.0451988
"Lee Hsien Loong"	0.0449716
procurator-general	0.0446627
"surgeon general"	0.044641
"drama critic"	0.0444499
"Mahmoud Abbas"	0.0443322
chieftain	0.0441896
"deputy sheriff"	0.0440795
el-Ganzouri	0.0440435
serviceman	0.0437172
"commanding officer"	0.0433275
"Bashkim Fino"	0.043318
"Valery Pustovoitenko"	0.0432951
el-Baz	0.0432786
attorney-General	0.0432706
Khattab	0.0431293
"Joseph Ralston"	0.043055
"Natan Sharansky"	0.0429785
"Leon Brittan"	0.0425623
"Martin McGuinness"	0.0425396
"Eric Holder"	0.0422551
"Eileen Collins"	0.0421813
al-Khatib	0.0421075
functionary	0.0419758
headmaster	0.0416755
axiom	0.0415911
"Aslan Maskhadov"	0.0415167
"Gennady Zyuganov"	0.0414924
"Wlodzimierz Cimoszewicz"	0.0413899
"Amnuay Virawan"	0.0411296
"Orlando Mercado"	0.041085
consul	0.0409877
"Yukio Hatoyama"	0.0409439
"Tin Oo"	0.0403876
"Xiong Guangkai"	0.0403502
"Robert Aventajado"	0.0403321
"Maung Aye"	0.040091
"vice- president"	0.0400214
))
(commissary (desc 2468.69) (sims
"convenience store"	0.0597131
"liquor store"	0.0592335
"close to @@,@@@"	0.0544254
canteen	0.0534111
vending	0.052677
"movie studio"	0.0514415
"coffee shop"	0.0508266
SabreTech	0.0502762
Overnite	0.0501931
childcare	0.0495327
"phone booth"	0.0493157
Pemex	0.0479658
"transport ship"	0.0476924
"Consolidated Edison"	0.0474518
"retail store"	0.0467326
deli	0.0466703
Benex	0.0459987
"personal business"	0.0458534
"pizza parlor"	0.0455883
overdraft	0.0453405
Stealers	0.0453372
bakery	0.0452868
idling	0.045042
"Vanguard Index @@@"	0.0446749
pretax	0.0446486
"Boys Ranch"	0.0446253
cellmate	0.0441414
carry-on	0.0441356
"repair shop"	0.0438979
escrow	0.0437982
"coffee bar"	0.0436447
workfare	0.0435689
Cs	0.0433017
VC	0.0432035
"hardware store"	0.0431866
"another @.@ million"	0.0430003
GSP	0.0429582
"food shop"	0.0429545
"machine shop"	0.0426257
"toy store"	0.0425543
"common law"	0.0420999
"throwing away"	0.0419215
"computer store"	0.0418967
"general store"	0.041015
"San Mateo"	0.0410091
"nearly one million"	0.0408671
"state government"	0.0408159
))
(commission (desc 142834) (sims
committee	0.277978
Council	0.244242
panel	0.23015
"task force"	0.19258
board	0.17709
subcommittee	0.172631
agency	0.168518
"European Commission"	0.157313
department	0.157244
ministry	0.156323
"working group"	0.153134
government	0.142294
"Justice Department"	0.139897
authority	0.138795
FTC	0.138587
court	0.137667
bureau	0.136129
FDA	0.13466
FCC	0.134326
"Federal Trade Commission"	0.133699
regulator	0.133396
Congress	0.131741
association	0.131439
cabinet	0.131327
organization	0.130995
tribunal	0.130502
SEC	0.130116
"Security Council"	0.128696
legislature	0.127769
office	0.126686
IOC	0.126092
"Supreme Court"	0.125808
administration	0.124244
"Judiciary Committee"	0.123967
EPA	0.122113
Assembly	0.121594
"Food and Drug Administration"	0.121224
federation	0.121084
"board of directors"	0.120805
"United Nations"	0.120615
"Securities and Exchange Commission"	0.120248
"Federal Communications Commission"	0.118338
UNSCOM	0.117987
FAA	0.11642
parliament	0.116164
"ethics panel"	0.115911
"House Judiciary Committee"	0.114923
"central bank"	0.1141
commissioner	0.113922
institute	0.113112
body	0.112134
judge	0.112037
official	0.111881
group	0.111832
"Environmental Protection Agency"	0.111607
Senate	0.111225
conference	0.110475
"International Olympic Committee"	0.110041
"U.N. Special Commission"	0.109498
"advisory board"	0.109442
U.N.	0.109333
delegation	0.108329
Secretariat	0.107828
"Department of Justice"	0.10769
"city council"	0.107629
"federal government"	0.107625
"Finance Ministry"	0.107255
prosecutor	0.10619
"U.N. Security Council"	0.106012
"election commission"	0.105884
"planning commission"	0.105363
FIFA	0.104627
"general assembly"	0.10459
"board of education"	0.104501
"ethics committee"	0.104234
FBI	0.104132
"standing committee"	0.104107
union	0.104019
"National Security Council"	0.102739
"Federal Election Commission"	0.102693
"school board"	0.102467
"Commission on Human Rights"	0.102362
"State Council"	0.102195
"local government"	0.10195
forum	0.101461
EC	0.101117
IMF	0.100618
"Truth and Reconciliation Commission"	0.0998718
PUC	0.0998611
jury	0.099677
"State Department"	0.0995982
Judiciary	0.0991257
"high court"	0.0989141
"steering committee"	0.0985136
"EU Commission"	0.0983454
General	0.0980625
"World Bank"	0.0980401
"appeals court"	0.0980009
"National Transportation Safety Board"	0.0973814
fee	0.0971097
"Department of Transportation"	0.0966403
President	0.0956412
institution	0.0956147
"Interior Ministry"	0.0954652
police	0.0954066
"Foreign Ministry"	0.0949404
minister	0.0948838
"United Nations Security Council"	0.0948177
investigator	0.0945445
"inspector general"	0.0945214
"Health Ministry"	0.0944223
company	0.0943626
"General Accounting Office"	0.0937586
expert	0.0932595
Pentagon	0.093103
state	0.0930663
meeting	0.0930534
"police department"	0.093027
"Council of Ministers"	0.0929917
"Health Department"	0.0929618
USOC	0.0925917
staff	0.0925095
program	0.0916286
FEC	0.0914997
party	0.0911687
INS	0.090908
"Department of Health"	0.0908306
"International Monetary Fund"	0.0907111
"Kofi Annan"	0.0906217
"Commerce Department"	0.0905709
foundation	0.0904308
OSCE	0.0904305
"World Health Organization"	0.0902662
Mission	0.0902645
bank	0.0902562
"board of trustees"	0.0895649
"European Parliament"	0.0894836
"Treasury Department"	0.0893709
WTO	0.088989
"Department of Education"	0.088904
"International Atomic Energy Agency"	0.0887844
"Education Department"	0.088519
TRC	0.0884195
NCAA	0.0880597
EU	0.0880342
lawmaker	0.0879936
"Federal Aviation Administration"	0.0877906
auditor	0.0875882
"court of appeals"	0.0875663
CDC	0.0874032
"grand jury"	0.0873277
representative	0.087244
NTSB	0.0871943
inspector	0.0868874
IRS	0.0865695
watchdog	0.0863534
Counsel	0.0863328
CIA	0.086297
"National Assembly"	0.0862244
"Justice Ministry"	0.0860809
"Preparatory Committee"	0.0858682
NATO	0.0858555
"international organization"	0.0857653
OSHA	0.0857417
"Energy Department"	0.0855972
Coalition	0.0853945
"U.S. State Department"	0.0853335
team	0.0852365
"chamber of commerce"	0.0851007
UEFA	0.0850684
"foreign minister"	0.0849774
"Agriculture Department"	0.0846222
"House of Representatives"	0.0843844
member	0.0843179
"Labor Department"	0.0842739
"finance committee"	0.0839517
"NPC Standing Committee"	0.0836762
summit	0.0835861
"political party"	0.0835806
leader	0.0833801
university	0.082549
firm	0.0825077
law	0.0824958
UNHCR	0.0824464
"Immigration and Naturalization Service"	0.0824047
Duma	0.0823176
Secretary-General	0.0822733
"European Union"	0.0822
"Transportation Department"	0.0817966
"Department of Labor"	0.0816642
"Defense Ministry"	0.0816041
officer	0.0815557
"Department of Agriculture"	0.0814501
Governor	0.081377
mechanism	0.0812848
consortium	0.0812397
IAAF	0.081061
"police force"	0.081032
"Ministry of Health"	0.0809568
"board of regents"	0.0807556
))
("Commission on Elections" (desc 1777.59) (sims
Comelec	0.243298
INEC	0.142362
"Electoral Commission"	0.126607
"Independent Electoral Commission"	0.121995
"U.S. Immigration and Naturalization Service"	0.115387
"Home Ministry"	0.112278
CIRC	0.109459
"Central Election Commission"	0.103556
"Hong Kong Monetary Authority"	0.101792
"National Election Committee"	0.101768
"Civil Aviation Administration of China"	0.101352
"National Convention Executive Council"	0.101055
"China Securities Regulatory Commission"	0.100613
"Department of Public Health"	0.0994507
"Nevada Athletic Commission"	0.0992183
"Dhaka Stock Exchange"	0.0982054
"Financial Supervisory Agency"	0.0970506
"National Electoral Commission of Nigeria"	0.0968193
"election commission"	0.0960678
"Consumer Product Safety Commission"	0.0954523
"planning commission"	0.0947282
"General Committee"	0.0937012
"American Medical Association"	0.0930753
"Independent National Electoral Commission"	0.0930211
"Israeli Cabinet"	0.0912951
"Nuclear Regulatory Commission"	0.0901446
"Civil Aviation Authority"	0.0893052
ITF	0.088995
"Football Association"	0.0889371
PSC	0.0889328
"Agriculture Ministry"	0.0889223
"Indonesian Armed Forces"	0.0888059
Lakas-NUCD	0.0881982
"auto manufacturer"	0.0880861
"Kenyan Government"	0.088067
"U.S. Environmental Protection Agency"	0.088032
"Israeli Foreign Ministry"	0.0879123
NRM	0.0877497
NLRB	0.0872865
"National Republican Congressional Committee"	0.0869095
"Badminton Association of Indonesia"	0.0864419
"Ministry of International Trade and Industry"	0.086174
"Housing Authority"	0.0858854
"Russian Space Agency"	0.0851808
"House Budget Committee"	0.0851644
"Golkar Party"	0.0847934
NCEC	0.0843702
"Truth Commission"	0.0842326
"Macao Government"	0.0838207
"Securities and Exchange Commission"	0.0834759
"Commission on Human Rights"	0.0833075
"Transportation Department"	0.0829278
"BellSouth Corp."	0.0824986
"State Administration of Taxation"	0.0823402
"Joint Military Commission"	0.0819807
"National Tourism Administration"	0.0817969
"Great Hural"	0.0812845
IEC	0.0809875
"Olympic Council of Asia"	0.0805976
"patent office"	0.0802308
KPU	0.0801448
"Health Care Financing Administration"	0.0801171
"Philippine National Police"	0.0794938
"Department of Corrections"	0.0793061
CEC	0.0791436
"Commerce Ministry"	0.0789222
"Central Bureau of Statistics"	0.0786387
"Democratic Senatorial Campaign Committee"	0.0781913
"English Football Association"	0.0780134
"Federal Election Commission"	0.077416
"Bank of Zambia"	0.0773528
"National Sports Council"	0.0772884
"National Association"	0.0770914
"Justice Ministry"	0.0770372
"Senate Budget Committee"	0.0767959
Teresi	0.0767898
"Times Co."	0.0766129
"Food and Drug Administration"	0.076608
"Board of Elections"	0.0765382
"Senate Governmental Affairs Committee"	0.0762237
"Russian Defense Ministry"	0.07612
"United National Independence Party"	0.076028
"Pakistan People's Party"	0.0759389
"Department of State"	0.0758978
"Human Rights Commission"	0.0758452
"Texas Supreme Court"	0.0758425
"Vietnam Airlines"	0.0755732
UNMOVIC	0.0753507
"Interior Department"	0.0752076
"local department"	0.0750347
"antitrust regulator"	0.074861
"Texas Department of Public Safety"	0.0747306
"United Nations High Commission for Refugees"	0.0747057
"Philippine Central Bank"	0.0745117
"China National Tourism Administration"	0.0740522
"Education Ministry"	0.0738669
"Supreme Judicial Court"	0.0736367
"Transport Ministry"	0.0735805
"National Association of Securities Dealers"	0.0735571
"House International Relations Committee"	0.0730965
"Census Bureau"	0.0728135
Lamberth	0.0723572
"Bank of Thailand"	0.0721937
Glendening	0.072098
"Department of Health"	0.0720699
"Defense Agency"	0.0720254
"Central Bank of Nigeria"	0.0719912
"Hong Kong Tourist Association"	0.0717459
"Constitutional Court"	0.0717141
"General Council"	0.0716911
"Foreign Relations Committee"	0.0715787
"Environmental Protection Agency"	0.0712899
"Department of Commerce"	0.0712633
"Port Authority of New York"	0.0711885
"Straits Exchange Foundation"	0.0711045
"Department of Health and Human Services"	0.0710462
"Islamic Development Bank"	0.0706987
"Ministry of Finance"	0.0706551
"Office of Management and Budget"	0.0706026
"Interior Ministry"	0.0703829
"National Economic Council"	0.0701648
"Political Department"	0.0701159
"Central Bureau of Investigation"	0.070095
"U.S. Army Corps of Engineers"	0.0700289
"Department of Environmental Protection"	0.0700147
"Executive Board"	0.0697081
"Ethics Commission"	0.0696751
"State Administration of Foreign Exchange"	0.069354
"Cuban American National Foundation"	0.069259
FCC	0.069188
"U.N. Special Commission"	0.0691863
"Boeing company"	0.0691455
"European Court of Justice"	0.0691135
"Court of Arbitration"	0.0689294
"board of regents"	0.0686684
"Atlanta Committee"	0.0686456
"State Peace and Development Council"	0.0684819
GEC	0.0684643
"Health Ministry"	0.0684059
"Federal Aviation Administration"	0.0681486
"Indonesian Military"	0.0680458
"Education Department"	0.0679705
"Organizing Committee"	0.067836
"Ministry of Posts"	0.0677428
"British government"	0.0675111
"Kosovo Verification Mission"	0.0674404
FIBA	0.067389
NPA	0.0673029
"NPC Standing Committee"	0.0672696
"Atomic Energy Commission"	0.0672002
"Occupational Safety and Health Administration"	0.0668771
"Economic Commission for Africa"	0.0668495
"U.S. Defense Department"	0.0668005
"Labor Ministry"	0.0667856
CNTA	0.0666196
"Ministry of Health"	0.0662306
"Organisation of African Unity"	0.0660291
UNAMET	0.0660052
"State Bureau of Environmental Protection"	0.0658916
"National Highway Traffic Safety Administration"	0.0658914
"International Cycling Union"	0.0656176
"Department of Environmental Conservation"	0.0656122
"Department of Environment"	0.0655775
"King Birendra"	0.0655605
"Commonwealth Ministerial Action Group"	0.0653395
"Public Service Commission"	0.0652973
"Palestinian Central Council"	0.0652641
"Orlando Mercado"	0.0652203
"Board of Investment"	0.0652023
"Truth and Reconciliation Commission"	0.065165
CMAG	0.0650988
USDA	0.0650747
PUC	0.0649469
"State Bank of Pakistan"	0.0648306
"International Olympic Committee"	0.0647276
MOFTEC	0.0646505
"Ministry of Science"	0.064633
"Nevada State Athletic Commission"	0.0645898
"Ministry of Railways"	0.0645115
"Department of Foreign Affairs"	0.0642172
"Bangladesh Bank"	0.0641822
"Philippine Senate"	0.0639135
UCI	0.0639017
"Constitutional Council"	0.0638435
"Department of Finance"	0.063706
"United States Congress"	0.06366
"National Labor Relations Board"	0.0635721
"Labor Department"	0.0634478
"Council of State"	0.0634358
"Beijing Municipal Government"	0.0633804
"Philippine Stock Exchange"	0.06326
"House Appropriations Committee"	0.0631824
"Constitutional Assembly"	0.0631683
"Rules Committee"	0.0629963
Malu	0.0629714
"Olympic Committee"	0.0629611
"American Bar Association"	0.0627253
"Board of Supervisors"	0.0626378
"National Post"	0.06243
Dudayev	0.0623598
))
("Commission on Human Rights" (desc 5705.18) (sims
"U.N. Human Rights Commission"	0.222775
"Economic and Social Council"	0.205241
sub-commission	0.145348
"Boutros Boutros Ghali"	0.129147
"Economic Commission for Africa"	0.124576
"World Health Assembly"	0.123722
"general assembly"	0.118018
"Security Council"	0.115287
"United Nations Conference on Trade and Development"	0.113048
"International Labor Organization"	0.111255
"United Nations Security Council"	0.11118
"European Parliament"	0.110314
"Council of Ministers"	0.109829
"Human Rights Commission"	0.106909
"Arab League"	0.106242
"North Atlantic Council"	0.105907
"U.N. Security Council"	0.104728
"United Nations Conference"	0.101446
"Revolutionary Command Council"	0.100012
"Food and Agriculture Organization"	0.0992498
"Great Hural"	0.0991904
"Institute of Medicine"	0.0983049
"NPC Standing Committee"	0.0974072
"Economic Commission for Latin America"	0.0972827
"European Council"	0.0951765
"Constitutional Assembly"	0.0949053
"board of education"	0.0944016
"Bank for International Settlements"	0.0934307
"House International Relations Committee"	0.0933119
"UN Security Council"	0.0930505
"Parliamentary Assembly"	0.0917704
Council	0.0913128
"European Court of Human Rights"	0.0912468
"American Academy of Pediatrics"	0.091039
"Senate Armed Services Committee"	0.0910298
"ethics committee"	0.0906975
"World Health Organization"	0.0894946
"Palestine National Council"	0.0894493
"International Maritime Organization"	0.0892655
"Supreme Soviet"	0.0884336
"Texas Legislature"	0.0880207
"Organization of American States"	0.0876779
"EU Commission"	0.087568
"Business Council"	0.0875023
"International Civil Aviation Organization"	0.0874327
"standing committee"	0.0863453
UN	0.0861532
"U.N. Conference"	0.0857477
"Joint Military Commission"	0.0856973
"Israeli Cabinet"	0.0856957
"European Commission"	0.0852429
"Executive Board"	0.0850163
"Federal Open Market Committee"	0.084266
"Democratic Leadership Council"	0.0835183
"Senate Foreign Relations Committee"	0.0833538
JMC	0.0833499
"Commission on Elections"	0.0833075
"planning commission"	0.0829596
"Jerusalem Committee"	0.0823768
"board of regents"	0.0823745
"Palestinian Council"	0.0822343
UNCTAD	0.0814403
"Ethics Commission"	0.0813034
"Commonwealth Ministerial Action Group"	0.0812084
"appellate court"	0.0811504
"Western European Union"	0.0809727
"Congress Working Committee"	0.0804712
"executive council"	0.0791835
"Constitutional Council"	0.0791533
"Inter-Parliamentary Union"	0.0790952
"National Research Council"	0.078699
"PLO Executive Committee"	0.0786187
"Federation Council"	0.0785514
"General Accounting Office"	0.0784106
"Israeli Knesset"	0.0784085
"U.N. Office"	0.0783614
"State Duma"	0.0782646
"Provisional Ruling Council"	0.0781836
"Commission on Presidential Debates"	0.0777888
"National Party Congress"	0.0776521
U.N.	0.0774052
"finance committee"	0.0769436
"Kofi Annan"	0.0766932
"Financial Supervisory Agency"	0.0766559
"World Jewish Congress"	0.076418
"Nevada State Athletic Commission"	0.0763427
"Guardian Council"	0.0760485
"Senate Appropriations Committee"	0.0757229
NSC	0.075267
"International Cycling Union"	0.0752305
"Supreme Judicial Court"	0.0750998
"Securities Industry Association"	0.0748367
"Federal Election Commission"	0.0746656
"Russian State Duma"	0.0746051
"National Academy of Sciences"	0.0745646
"Senate Judiciary Committee"	0.074561
"House of Representatives"	0.0745425
"Families USA"	0.0745284
"Senate Finance Committee"	0.0744944
"First Session"	0.0741783
"South Pacific Forum"	0.074009
CITES	0.0739843
"Southeastern Legal Foundation"	0.0739519
"House Banking Committee"	0.0738832
Secretariat	0.0737764
subcommittee	0.0736185
"Palestinian National Council"	0.0733624
"Education Department"	0.0731764
"International Atomic Energy Agency"	0.0730936
IAEA	0.0727927
"League of Conservation Voters"	0.0727042
"National Council"	0.0726949
"Organization for Economic Cooperation and Development"	0.072654
"Truth and Reconciliation Commission"	0.0725715
"Olympic Council of Asia"	0.0723777
"Board of Governors"	0.0723252
"United Nations agency"	0.0718584
"National Economic Council"	0.071824
"International Olympic Committee"	0.071662
"ethics panel"	0.0713667
"Consultative Assembly"	0.0711429
plenum	0.0710772
OSCE	0.0710034
"China Securities Regulatory Commission"	0.0709918
"International Red Cross"	0.0701215
"Arab Parliamentary Union"	0.0701086
"Congress (NPC) Standing Committee"	0.0700047
"Federal Council"	0.0695258
"Constitutional Court"	0.0695106
"American Jewish Committee"	0.0694217
legislature	0.0694004
"Organization of Islamic Conference"	0.069264
ESCAP	0.0691961
"steering committee"	0.0691852
"House Judiciary Committee"	0.0691518
"Congressional Black Caucus"	0.0689926
UNAIDS	0.0689777
ILO	0.0687532
"Preparatory Committee"	0.0686977
"Provisional Legislative Council"	0.0686821
"Food and Drug Administration"	0.0683517
"National Congress"	0.0681584
"International Amateur Athletic Federation"	0.0681147
"Organization of Petroleum Exporting Countries"	0.0679773
"Department of Labor"	0.0677827
"Securities and Exchange Commission"	0.067349
"welfare worker"	0.0672122
"Central Committee"	0.0671468
"House Budget Committee"	0.0671431
"Federal Communications Commission"	0.0671374
FDA	0.067135
"military commission"	0.0670787
NLRB	0.0670729
"Republican Leadership Council"	0.0669499
"Log Cabin Republicans"	0.0668441
UNESCO	0.0667473
"Second Session"	0.0666922
"International Committee"	0.0666861
IPU	0.0666614
"Nevada Athletic Commission"	0.0666548
"board of directors"	0.0666421
"Amnesty International"	0.0666108
"General Council"	0.0664524
EC	0.0663203
"board of trustees"	0.0662751
"National Assembly"	0.0662648
MPR	0.0662331
"school board"	0.0661502
"working group"	0.066101
FTC	0.0660444
"State Council"	0.0659242
"Department of Health"	0.0658652
"Judiciary Committee"	0.0658396
"Inter-Governmental Authority on Development"	0.0658207
NAACP	0.0657688
"CPC National Congress"	0.0657664
"Banking Committee"	0.0656622
"Senate Governmental Affairs Committee"	0.0655911
"Human Rights Watch"	0.0655489
"World Economic Forum"	0.0653303
"Russian Security Council"	0.0649721
PUC	0.0648863
"Department of Environment"	0.0648573
"Council of State"	0.0646896
"National Transportation Safety Board"	0.0646774
"Senate Commerce Committee"	0.0646539
"Senate Banking Committee"	0.0646274
"Board of Elections"	0.0646106
"council meeting"	0.0645995
UNEP	0.0645744
"American Bar Association"	0.0644859
IOC	0.0644745
"Ways and Means Committee"	0.0644038
"House Appropriations Committee"	0.0643991
"National Convention Executive Council"	0.064352
"National Republican Congressional Committee"	0.0641615
"advisory board"	0.0641289
"National Gambling Impact Study Commission"	0.064117
FCC	0.0640669
"Congress Standing Committee"	0.0640621
))
("Commission on Presidential Debates" (desc 2342.03) (sims
"Log Cabin Republicans"	0.168326
"World Jewish Congress"	0.145481
"Republican Leadership Council"	0.138442
"Business Council"	0.134618
"Human Rights Campaign"	0.134449
"Democratic Leadership Council"	0.130799
"Families USA"	0.123657
"U.S. Soccer Federation"	0.121756
"National Abortion and Reproductive Rights Action League"	0.121676
"Violence Policy Center"	0.115803
"Beijing Municipal Government"	0.112974
"Human Rights Commission"	0.112779
"Electronic Privacy Information Center"	0.111896
"Air Transport Association"	0.109855
"Center for Responsive Politics"	0.106258
"Commerce Ministry"	0.104174
"search committee"	0.103988
"Center on Budget"	0.10355
"Board of Elections"	0.102418
"National Council of La Raza"	0.10107
"Cuban American National Foundation"	0.100691
"Mike Foster"	0.0996677
"International Civil Aviation Organization"	0.099171
"Ministry of Interior"	0.0989458
"Ethics Commission"	0.0972866
"Iraqi National Congress"	0.0968219
"Media Partners"	0.0953663
"Academy of Motion Picture Arts"	0.0950888
"Senate Appropriations Committee"	0.0948803
"National Alliance"	0.0943927
"Industry Ministry"	0.0940682
"Common Cause"	0.0939694
"National Association of Securities Dealers"	0.0934255
"Anti-Defamation League"	0.09191
"Operation Lifeline Sudan"	0.0917029
"China Society"	0.0914868
"working group"	0.0910785
"Center for Strategic"	0.0910161
"World Church"	0.0893183
"National Gambling Impact Study Commission"	0.0887995
"Southeastern Legal Foundation"	0.0886137
"Ministry of Posts"	0.0881589
"Tourism Authority of Thailand"	0.087821
AARP	0.0876206
"Transparency International"	0.0872625
"League of Conservation Voters"	0.0870995
"National Democratic Alliance"	0.0869774
"American Association of Health Plans"	0.0867027
"Securities Industry Association"	0.0859815
"U.S. Environmental Protection Agency"	0.0851618
NSC	0.0846858
"American Petroleum Institute"	0.0846827
"Ministry of Forestry"	0.0846254
"Council on Foreign Relations"	0.0840492
"Recording Industry Association of America"	0.0832612
"NFL Players Association"	0.0831527
"EU Commission"	0.0830653
"Bank for International Settlements"	0.0830096
"U.S. Information Agency"	0.0829327
"Federal Open Market Committee"	0.0827898
GOPAC	0.0823705
"United Nations Environment Program"	0.0818197
"Miramax Films"	0.0815935
"Democratic National Committee"	0.0811885
"U.S. Immigration and Naturalization Service"	0.0809319
"New York Civil Liberties Union"	0.0806713
"International Amateur Athletic Federation"	0.0804521
"American Association of Retired Persons"	0.0803014
"National Academy of Sciences"	0.0802391
"World Health Organization"	0.0799871
"Sierra Club"	0.0798633
"Department of Finance"	0.0795158
"U.N. Environment Program"	0.0793563
"Congressional Research Service"	0.0790583
"Human Rights Watch"	0.0788252
"China Federation"	0.0787337
"American Association"	0.078488
"Real IRA"	0.0782039
"District Council"	0.0779473
"Commission on Human Rights"	0.0777888
"Zapatista National Liberation Army"	0.077764
"National Council of Churches"	0.077696
Icann	0.0776801
"Organization of American States"	0.0773953
"Commonwealth Ministerial Action Group"	0.077354
"Contact Group"	0.0772507
"Heritage Foundation"	0.0766495
"Nuclear Regulatory Commission"	0.076554
TrustE	0.0758342
"Institute of Medicine"	0.0752373
"Nevada Athletic Commission"	0.0750988
"Arab League"	0.0747605
"Public Citizen"	0.0746635
"Consumers Union"	0.0746583
"Ministry of Internal Trade"	0.0745859
UNAIDS	0.0739423
"Independent National Electoral Commission"	0.0738457
"National Liberation Army"	0.0736937
"American Heart Association"	0.0736707
"United Nations Educational, Scientific and Cultural Organization"	0.0735637
Leavitt	0.0727297
"Electronic Frontier Foundation"	0.0726079
"American Medical Association"	0.0718255
"European Commission"	0.0717798
"Ministry of Education"	0.0716595
"Environmental Protection Agency"	0.0716193
"Senate Foreign Relations Committee"	0.0714604
"International Maritime Organization"	0.0713354
"steering committee"	0.0713258
"work group"	0.071221
"International Badminton Federation"	0.0707233
"Economic Commission for Africa"	0.0704642
"Department of Commerce"	0.0702162
"Shanghai Municipal Government"	0.0701776
"State Education Commission"	0.0701426
"National Education Association"	0.0701353
"International Federation"	0.0697761
"National Association"	0.0691925
"Occupational Safety and Health Administration"	0.0691146
"China Council"	0.0690546
"Federal Highway Administration"	0.0687696
Greenpeace	0.0687257
"United Nations Population Fund"	0.068589
"Israeli Foreign Ministry"	0.0685607
"Center for Democracy"	0.0684021
"Organization of African Unity"	0.0683885
"United Nations Industrial Development Organization"	0.0679028
"Securities and Exchange Commission"	0.0678542
IGAD	0.0678109
NAACP	0.0677799
"Agriculture Ministry"	0.0677634
"Amnesty International"	0.0676644
"Armed Islamic Group"	0.0674654
MOFTEC	0.067365
"Prime Minister Banharn Silpa-Archa"	0.0670476
"Appropriations Committee"	0.0670173
"Tupac Amaru Revolutionary Movement"	0.0668365
"Council of Ministers"	0.0666745
"Vladimir Meciar"	0.0666677
"Ministry of Personnel"	0.0665481
"All-China Journalists Association"	0.066537
"National League for Democracy"	0.0665183
"China National Tourism Administration"	0.0664013
"National Tourism Administration"	0.066338
"Wine Institute"	0.0662209
"Family Research Council"	0.0661748
"Hack Wilson"	0.0660674
"National Conference"	0.0660032
"Islamic Jihad"	0.0659365
"Council of Guardians"	0.065898
Velayati	0.065769
"Orange Order"	0.0657145
"United National Independence Party"	0.0655879
"China Association for Science"	0.0655867
"English Football Association"	0.065558
"Freedom Forum"	0.0654214
"Central Commission for Discipline Inspection"	0.0654136
"Truth and Reconciliation Commission"	0.0651451
"Transportation Department"	0.0650653
"ethics committee"	0.0648173
Ruthardt	0.0647799
Interpol	0.0647698
"Financial Supervisory Agency"	0.0647157
OSHA	0.0646571
ELN	0.0646559
"advisory board"	0.0645602
"Home Ministry"	0.064077
"Ministry of Foreign Trade and Economic Cooperation"	0.0639545
"International Rescue Committee"	0.0639396
"Central Election Commission"	0.0639265
CAS	0.0638779
"Education Ministry"	0.0635723
"Ministry of Science"	0.0635357
"Canadian Alliance"	0.0634237
"Brookings Institution"	0.0633973
mujahedeen	0.0630836
"Kaiser Family Foundation"	0.0630609
"Rainbow/PUSH Coalition"	0.0630234
"Central Bank of Kenya"	0.0629457
"planning commission"	0.0629284
"World Tourism Organization"	0.0629204
"Pew Research Center"	0.0628767
"League of Women Voters"	0.0628386
"Red Cross Society"	0.0628359
"Paris Club"	0.0627958
"Union of Right Forces"	0.0627916
"Hong Kong Trade Development Council"	0.0625399
"conference committee"	0.0625375
"Congressional Black Caucus"	0.0625177
FIBA	0.0624611
"Ministry of International Trade and Industry"	0.0623681
"Central Committee"	0.0623295
Ecevit	0.0622221
"State Council"	0.0621973
"popular front"	0.0621311
"National Highway Traffic Safety Administration"	0.0620333
"Rodney Slater"	0.0619833
"Interior Ministry"	0.0618682
"Promise Keepers"	0.0616843
"International Skating Union"	0.0615451
))
(commissioner (desc 108142) (sims
secretary	0.171562
"secretary of state"	0.15132
minister	0.148647
official	0.148097
chief	0.147712
Governor	0.14661
Mayor	0.144138
judge	0.141789
director	0.140538
administrator	0.138138
superintendent	0.137196
prosecutor	0.133317
General	0.133188
"finance minister"	0.133031
Chancellor	0.131047
chairman	0.12952
"vice president"	0.128327
President	0.126511
representative	0.124961
Ambassador	0.122755
Attorney	0.122609
"foreign minister"	0.122081
officer	0.121913
treasurer	0.120417
Secretary-General	0.118987
legislator	0.117893
senator	0.117392
regulator	0.116156
commander	0.114433
Comptroller	0.114431
Premier	0.114065
"cabinet minister"	0.113966
commission	0.113922
undersecretary	0.112758
deputy	0.112642
"chief of staff"	0.11111
manager	0.110384
committee	0.110289
director-general	0.109488
Sheriff	0.109244
member	0.108939
leader	0.108865
supervisor	0.108147
lawmaker	0.107818
executive	0.107224
"chief justice"	0.107177
Speaker	0.106779
"general manager"	0.106613
"board member"	0.105031
"district attorney"	0.104739
Council	0.104422
"inspector general"	0.104327
Magistrate	0.103231
"head of state"	0.102265
authority	0.102224
Counsel	0.101695
"William Cohen"	0.1016
"deputy director"	0.101519
"high commissioner"	0.101148
"managing director"	0.100576
lawyer	0.100416
"chief executive"	0.100167
"police chief"	0.0993409
trustee	0.0984739
department	0.0982138
"executive director"	0.0980185
"council member"	0.0978525
aide	0.0977881
delegate	0.0973269
"Janet Reno"	0.0964379
adviser	0.0962554
agency	0.0952618
"Kofi Annan"	0.0941386
board	0.0936274
negotiator	0.0930037
"lieutenant governor"	0.0929279
government	0.09282
owner	0.0925692
auditor	0.0924827
"school board"	0.0923819
spokesman	0.0920732
coordinator	0.0919874
envoy	0.0918148
inspector	0.0910247
Moi	0.0908917
investigator	0.0905995
arbitrator	0.0903855
Selig	0.0899
diplomat	0.0897548
chairmen	0.0897516
"deputy foreign minister"	0.0896394
Congressman	0.0896035
coach	0.0893204
expert	0.0892701
ministry	0.0890519
administration	0.088154
vice-president	0.0879551
office	0.0873123
panel	0.0870758
Mandela	0.0863047
Annan	0.0859802
congressmen	0.0857809
Arafat	0.085177
"general secretary"	0.0851692
dean	0.0848259
Yeltsin	0.0847104
police	0.0838071
"federal official"	0.0836859
doctor	0.0835594
"Tony Blair"	0.0833574
"European Commission"	0.0833526
"Benjamin Netanyahu"	0.0830997
"board of education"	0.0830048
"committee member"	0.0829934
Cohen	0.0828337
Reno	0.0827603
agent	0.0823091
"Yevgeny Primakov"	0.0822048
Republican	0.0820341
"Javier Solana"	0.081686
FDA	0.0816101
legislature	0.0811876
"general counsel"	0.0811583
"Secretary General"	0.0809851
Albright	0.0809249
"Atal Bihari Vajpayee"	0.080791
"Justice Department"	0.0804261
Clinton	0.0804219
Democrat	0.0802851
bishop	0.0802795
politician	0.0802283
"vice chairman"	0.0801036
bureau	0.0800158
mediator	0.0800008
Netanyahu	0.0798182
"solicitor general"	0.0796803
editor	0.0793707
"business leader"	0.0792226
head	0.0789881
"Robert Rubin"	0.0788953
Councilman	0.07873
Blair	0.078094
"Ehud Barak"	0.0780373
delegation	0.0779665
staff	0.0777717
advocate	0.0776671
parliamentarian	0.0774088
"medical examiner"	0.076826
"city council"	0.0766023
organizer	0.0764738
"Supreme Court"	0.0763344
"Attorney General"	0.0761731
"appeals court"	0.0761127
"executive vice president"	0.0758886
Giuliani	0.0756342
justice	0.0754547
"elected official"	0.0754318
"Prime Minister"	0.0753614
Congress	0.0750211
referee	0.074992
"medical officer"	0.0748411
"first lady"	0.0747523
principal	0.0746258
"political leader"	0.0745835
employee	0.074486
Barak	0.0742408
advisor	0.0741898
"Bill Richardson"	0.0740945
juror	0.0740394
"George Pataki"	0.073807
candidate	0.073198
"Viktor Chernomyrdin"	0.0731645
court	0.0730723
"Nawaz Sharif"	0.0730061
Samaranch	0.0729779
"chief executive officer"	0.0728187
"Food and Drug Administration"	0.0727957
"Christie Whitman"	0.0725336
"senior vice president"	0.0724057
"department head"	0.0722839
Primakov	0.072118
jury	0.0720887
CEO	0.0720154
cabinet	0.071743
Pataki	0.071741
"police officer"	0.0715552
Estrada	0.0713994
MP	0.0712809
"board of directors"	0.0711832
Holbrooke	0.0710702
Chirac	0.0709789
"Securities and Exchange Commission"	0.0709741
"chief operating officer"	0.0709709
FCC	0.0709133
assistant	0.0707872
"high court"	0.0705387
"Keizo Obuchi"	0.0705014
union	0.0704695
"Ryutaro Hashimoto"	0.0704416
physician	0.0703559
))
(commissioning (desc 3759.36) (sims
installation	0.0798121
re-opening	0.0736797
rededication	0.0726423
reopening	0.0721468
upgrading	0.0701621
renovation	0.066483
"Unit @"	0.0662531
closedown	0.0658679
rehabilitation	0.0630297
"two units"	0.0611825
refurbishment	0.0609498
licensing	0.0607768
inauguration	0.0605716
facelift	0.0604408
initiation	0.060384
decommissioning	0.0597805
procurement	0.0587538
beautification	0.058524
harvesting	0.0580605
commencement	0.057999
designing	0.0552553
"civil engineering"	0.0549776
remodeling	0.0547409
shutdown	0.0544262
swearing-in	0.0543637
scrapping	0.0541248
canonization	0.053065
revamping	0.0528447
rollout	0.0522242
"three units"	0.0521825
launching	0.0514764
rebuilding	0.0514321
"first unit"	0.0508893
remediation	0.050749
setting-up	0.0506662
dismantling	0.0490711
possiblity	0.0489329
unveiling	0.0483594
demobilization	0.0483314
relocation	0.0482393
calibration	0.0481053
"cutting edge"	0.0477337
"Veterans Day"	0.047616
exhumation	0.0476071
collaborative	0.047446
damming	0.0474119
beatification	0.047275
"avant garde"	0.046807
reconfiguration	0.0464773
"handing over"	0.0463508
feasibility	0.0460705
C-@@@J	0.0459489
pumping	0.0459155
sealing	0.0455217
recapitalization	0.0451922
"Sea Launch"	0.0449283
verification	0.0444341
overhauling	0.0439223
resettlement	0.0437782
demolition	0.0436663
iteration	0.0436402
"public works"	0.0435752
fieldwork	0.043341
laying	0.0431847
awarding	0.0428864
finalization	0.0428724
blocking	0.0428331
ADP	0.0426535
leasing	0.0422917
drilling	0.0422303
commemoration	0.0420935
"warm front"	0.0419732
swearing	0.0419054
indoctrination	0.0417398
Nat	0.0414954
phase-out	0.0413916
repatriation	0.0412807
airdrop	0.0412451
convocation	0.041226
"Art Nouveau"	0.0409913
decoding	0.0408873
carpentry	0.0408743
interdiction	0.040848
materialization	0.0407951
"quality control"	0.0405774
sentencing	0.0403778
reappraisal	0.0403747
bicentennial	0.0402303
))
(commitment (desc 147322) (sims
determination	0.18362
obligation	0.174989
willingness	0.172744
pledge	0.172512
dedication	0.156088
support	0.155487
adherence	0.151276
promise	0.149758
contribution	0.149669
desire	0.145816
effort	0.138403
devotion	0.135607
ability	0.134938
loyalty	0.132679
resolve	0.131707
approach	0.131633
agreement	0.131165
policy	0.128811
responsibility	0.127624
principle	0.126595
intention	0.125033
initiative	0.119917
stance	0.119614
proposal	0.119594
courage	0.11684
participation	0.116039
interest	0.114424
assurance	0.114308
readiness	0.113875
opposition	0.113848
decision	0.113297
assistance	0.112232
plan	0.112227
guarantee	0.111785
cooperation	0.111645
attitude	0.111205
belief	0.110572
respect	0.1104
attention	0.109413
strength	0.109117
need	0.108929
importance	0.108722
confidence	0.10872
reform	0.107741
response	0.107533
integrity	0.107507
priority	0.106357
demand	0.106326
requirement	0.105143
progress	0.104996
discipline	0.104748
sincerity	0.104601
concession	0.104373
achievement	0.103915
objective	0.103829
strategy	0.103163
vision	0.10294
acceptance	0.102864
understanding	0.102546
threat	0.101902
capability	0.101902
leadership	0.101693
spirit	0.101658
action	0.101656
value	0.101277
measure	0.101217
funding	0.100531
solidarity	0.100045
involvement	0.0995785
skill	0.0995447
faith	0.0993613
resolution	0.0990156
aspiration	0.0987626
position	0.0984464
stability	0.0983259
flexibility	0.096979
backing	0.0965972
role	0.0964316
Openness	0.0963339
"hard work"	0.0960613
wish	0.0954749
offer	0.0949543
refusal	0.0949113
professionalism	0.0947463
success	0.094714
Declaration	0.0945199
ethic	0.0943678
change	0.0943064
honesty	0.0941501
will	0.0937733
statement	0.0932487
unity	0.0931569
objection	0.0930247
accord	0.0927977
investment	0.09258
wisdom	0.0924297
challenge	0.0916051
concern	0.0915615
mandate	0.0913776
enthusiasm	0.0913744
pact	0.0913517
relationship	0.0910999
provision	0.0908583
approval	0.0908293
resistance	0.0907162
claim	0.0897379
recognition	0.0894688
program	0.0889001
obstacle	0.0886244
ambition	0.0884714
perseverance	0.0883831
payment	0.0882606
development	0.0880693
accomplishment	0.087842
aid	0.0876265
reaction	0.087332
patience	0.0873071
accountability	0.0873012
access	0.0871674
sensitivity	0.0870024
compassion	0.0866646
appeal	0.0864299
Sacrifice	0.086078
credibility	0.085976
resource	0.0859045
passion	0.0855247
loan	0.0854548
recommendation	0.0854142
generosity	0.0853112
Treaty	0.0852937
friendship	0.0850972
guideline	0.0849122
maturity	0.0848919
withdrawal	0.0848198
request	0.0845202
quality	0.0844814
agenda	0.0844724
step	0.0842778
toughness	0.084198
improvement	0.0840518
knowledge	0.0839683
intervention	0.0839478
reluctance	0.083905
power	0.083824
rule	0.0837852
money	0.0836522
Implementation	0.0835854
trust	0.083565
arrangement	0.0834991
talent	0.0834783
standard	0.0833736
status	0.0831598
seriousness	0.0828649
experience	0.0827598
presence	0.0825631
right	0.0824762
financing	0.0823581
rejection	0.0823535
reduction	0.0823223
cease-fire	0.0821522
debt	0.0820972
fairness	0.0820592
sense	0.0820079
endorsement	0.0819122
benefit	0.0818152
tolerance	0.0816638
efficiency	0.0815838
expertise	0.0815224
deal	0.0815001
help	0.0814154
hope	0.0813956
performance	0.081337
Creativity	0.0813098
peace	0.0812503
timetable	0.0811225
motivation	0.0809231
pressure	0.080872
awareness	0.0808458
potential	0.0807999
idea	0.0807831
independence	0.0805255
teamwork	0.0803068
expectation	0.0802993
keenness	0.0802517
move	0.080147
unwillingness	0.0801155
security	0.0800631
coordination	0.0800437
view	0.0799601
goal	0.0798569
engagement	0.079854
restraint	0.0796906
persistence	0.0796882
spending	0.079662
regulation	0.0796031
resilience	0.0795483
difficulty	0.0793026
law	0.0792308
patriotism	0.0791959
diversity	0.0791641
))
(committee (desc 200234) (sims
commission	0.277978
panel	0.264754
Council	0.264596
subcommittee	0.233974
"task force"	0.196888
board	0.192238
Congress	0.174679
"Judiciary Committee"	0.172825
"working group"	0.160933
department	0.160862
agency	0.159484
"House Judiciary Committee"	0.158817
Senate	0.153756
organization	0.153117
Assembly	0.151964
parliament	0.150444
legislature	0.150183
ministry	0.146857
"board of directors"	0.145872
government	0.143155
conference	0.141102
delegation	0.140535
"Security Council"	0.140128
authority	0.13941
official	0.138329
association	0.137842
group	0.137275
office	0.136672
"finance committee"	0.136584
cabinet	0.136549
court	0.133633
"standing committee"	0.132671
federation	0.131969
meeting	0.131664
IOC	0.130503
bureau	0.129715
member	0.129653
"Justice Department"	0.126304
"general assembly"	0.1238
body	0.122106
"advisory board"	0.121517
"Central Committee"	0.120429
"steering committee"	0.118812
staff	0.117383
administration	0.116338
President	0.116236
forum	0.116192
"Senate Judiciary Committee"	0.115966
institute	0.115883
"committee meeting"	0.115574
"ethics committee"	0.114729
party	0.114166
lawmaker	0.113679
jury	0.113326
judge	0.11316
"city council"	0.113066
"conference committee"	0.112954
representative	0.11276
union	0.112702
chairman	0.112408
Secretariat	0.112022
leader	0.111992
"United Nations"	0.111943
"House of Representatives"	0.111661
"local government"	0.111321
"U.N. Security Council"	0.110757
"ethics panel"	0.110682
tribunal	0.110597
"European Commission"	0.11054
prosecutor	0.110448
commissioner	0.110289
regulator	0.109965
"International Olympic Committee"	0.109824
"grand jury"	0.109777
chamber	0.109414
Secretary-General	0.107068
"Supreme Court"	0.106617
"National Assembly"	0.106558
expert	0.106555
leadership	0.10646
session	0.105192
"executive council"	0.105111
minister	0.104915
investigator	0.104313
General	0.104156
team	0.103974
Counsel	0.103376
U.N.	0.103226
organizer	0.103049
legislator	0.10257
FIFA	0.10246
FDA	0.102055
"board of trustees"	0.10167
institution	0.100548
"school board"	0.100085
delegate	0.0997211
"central bank"	0.0996991
"committee member"	0.0994139
SEC	0.0990925
secretary	0.0990071
Coalition	0.0984342
foundation	0.0983116
"Federal Trade Commission"	0.0981269
FBI	0.0978871
USOC	0.0972863
campaign	0.0968641
"Securities and Exchange Commission"	0.0968206
state	0.0967898
FTC	0.0964609
program	0.0963102
"political party"	0.0962694
"board of education"	0.095846
"Federal Communications Commission"	0.09558
company	0.0955693
NPC	0.0954366
"Kofi Annan"	0.0953963
officer	0.0952314
"Republican National Committee"	0.0951286
house	0.0948769
"Democratic National Committee"	0.0946744
FCC	0.0940377
summit	0.0940178
"federal government"	0.0937363
chief	0.0934504
Governor	0.093407
"foreign minister"	0.0933619
"state legislature"	0.0931912
EPA	0.0930724
"Preparatory Committee"	0.0924698
convention	0.0921122
"State Council"	0.0919892
"Food and Drug Administration"	0.0919288
"European Parliament"	0.0917756
deputy	0.0916869
"Council of Ministers"	0.091632
police	0.0915683
"National Transportation Safety Board"	0.0915219
director	0.0912822
organ	0.0911537
"Department of Justice"	0.0908473
"World Bank"	0.0906705
"Arab League"	0.0906636
"United Nations Security Council"	0.0905154
"international organization"	0.0903353
Duma	0.090154
chairmen	0.089703
"National Security Council"	0.0892843
branch	0.0890758
IMF	0.0889954
"State Department"	0.0888986
Republican	0.088814
"Finance Ministry"	0.0887109
Mission	0.0886548
bank	0.0885589
vote	0.0885542
caucus	0.0884951
"political action committee"	0.088331
"election commission"	0.0879782
"inspector general"	0.0875251
"State Duma"	0.0873843
Knesset	0.087189
SLOC	0.0871186
negotiator	0.0870662
executive	0.0870146
"Democratic Party"	0.08694
firm	0.0865773
"vice president"	0.0865016
decision	0.0864863
"International Monetary Fund"	0.0862993
Clinton	0.086121
Starr	0.0859719
senator	0.0857564
lawyer	0.0854393
"White House"	0.0854195
"NPC Standing Committee"	0.0852428
"municipal government"	0.0843243
"Truth and Reconciliation Commission"	0.0842432
"trade union"	0.0842342
proposal	0.0841969
center	0.0838003
"CPC Central Committee"	0.0837619
OSCE	0.0837108
seminar	0.0836652
university	0.0836413
Pentagon	0.0836043
trustee	0.0835707
candidate	0.0835121
"general secretary"	0.0834431
Presidium	0.0833953
Judiciary	0.083241
OAU	0.0832369
plan	0.0831791
hearing	0.082811
administrator	0.0826943
doctor	0.0825741
initiative	0.0825694
"police department"	0.0824417
headquarter	0.0823097
Alliance	0.0823032
"chamber of commerce"	0.082207
))
("committee meeting" (desc 11963.5) (sims
"board meeting"	0.19115
"council meeting"	0.184229
"summit meeting"	0.145108
plenum	0.144145
meeting	0.127466
"World Food Summit"	0.122854
conference	0.120276
summit	0.119528
mini-summit	0.118968
"general assembly"	0.118061
committee	0.115574
"South Summit"	0.113941
"ASEAN Ministerial Meeting"	0.112014
session	0.111483
symposium	0.105106
forum	0.104076
"Asia-Europe Meeting"	0.102758
seminar	0.10102
"International Conference"	0.10073
"Ministerial Meeting"	0.100677
Roundtable	0.100013
"Ministerial Conference"	0.0995484
hearing	0.0981051
workshop	0.0969373
"World Conference"	0.0958558
"Consultative Group"	0.0957925
"Fortune Global Forum"	0.0946775
"committee member"	0.0944881
"Federal Open Market Committee"	0.0896467
two-day	0.086395
"Millennium Summit"	0.0862081
"press conference"	0.0843241
Assembly	0.0842215
Council	0.0839235
AMM	0.0837116
"International Congress"	0.0832042
gathering	0.0829742
"Special Session"	0.0819985
"National Congress"	0.0818683
"Earth Summit"	0.0814527
gala	0.0812369
"news conference"	0.0808118
"World Petroleum Congress"	0.0807611
"World Congress"	0.0804404
"International Symposium"	0.0802939
"U.N. Millennium Summit"	0.0801393
"panel discussion"	0.0800132
"news briefing"	0.0798311
"working group"	0.0794642
briefing	0.0790939
convention	0.0789481
"International AIDS Conference"	0.0785872
"church service"	0.076632
"Plenary Session"	0.076611
"National Conference"	0.0761831
caucus	0.0752028
commission	0.0746667
"Trade Fair"	0.0744955
"World AIDS Conference"	0.0744251
luncheon	0.0737697
consultation	0.0732809
banquet	0.0730541
"U.N. Conference"	0.0730137
"North Atlantic Council"	0.0724241
ASEM	0.0714408
panel	0.0712618
"steering committee"	0.0710255
commemoration	0.0706941
"closed session"	0.0697616
"conference committee"	0.0695894
"CPC National Congress"	0.0695053
by-election	0.0694277
ceremony	0.06926
"Fifth Session"	0.0692484
"National Party Congress"	0.067523
rainout	0.0673947
"press briefing"	0.0673046
inauguration	0.0669987
"practice session"	0.0667229
referendum	0.0664186
"general election"	0.0661649
mini-camp	0.0661638
subcommittee	0.0660981
"Fourth World Conference"	0.065776
"three-day event"	0.0656174
balloting	0.0652598
by-elections	0.0651767
"war game"	0.0649592
parley	0.0648759
IGC	0.0648676
"World Health Assembly"	0.0647372
Knesset	0.0646094
"First Session"	0.0644702
"art exhibition"	0.0641965
festivity	0.0636059
"United Nations Conference"	0.063506
Exposition	0.0634991
"National Assembly"	0.0634408
"town meeting"	0.0633428
"Jerusalem Committee"	0.0630359
"primary election"	0.0624717
APEC	0.0620483
reshuffle	0.0619125
"dinner party"	0.0618589
"prayer service"	0.0617212
shootaround	0.0613602
"task force"	0.0611479
teleconference	0.0609774
"South Pacific Forum"	0.0603541
auction	0.0603291
"group discussion"	0.0602663
"National Convention"	0.0600973
Secretariat	0.0599227
"Fourth Session"	0.0596096
"National Executive Committee"	0.0595182
celebration	0.0594994
"military commission"	0.059062
deliberation	0.0589627
"Joint Liaison Group"	0.058623
"round table"	0.0582407
fund-raiser	0.0580412
"employment report"	0.05716
"standing committee"	0.0570114
"Winter Olympic Games"	0.0564681
arraignment	0.0561466
"prayer meeting"	0.0560508
"conference call"	0.055904
three-day	0.0558728
taskforce	0.0558571
"Joint Commission"	0.0557555
"Democratic National Convention"	0.0553434
funeral	0.0552134
conferees	0.0546689
"Commonwealth Ministerial Action Group"	0.0546506
reunion	0.0542897
concert	0.054274
"Republican National Convention"	0.0542563
"Second Session"	0.0539764
"Security Council"	0.0539214
"Olympic Games"	0.0536735
demonstration	0.0534936
sub-commission	0.0533016
"World Youth Games"	0.0532799
"Third Session"	0.0528604
"Palestinian Central Council"	0.052839
"rate cut"	0.0527293
"ASEAN Regional Forum"	0.0525683
"National Games"	0.0525638
four-day	0.0525134
"Inter-Governmental Authority on Development"	0.0523558
"Executive Committee"	0.0523353
"Congress Working Committee"	0.0522766
"Annual Meeting"	0.0521688
"Asian Games"	0.0521532
"rate hike"	0.052108
"World AIDS Day"	0.0519339
polling	0.0519181
"World Economic Forum"	0.0518064
"trading session"	0.0516833
weigh-in	0.0516525
proceeding	0.0516195
policy-makers	0.051605
"ethics panel"	0.05155
"open house"	0.0515388
manoeuvre	0.0512612
confab	0.0511572
"Arab Parliamentary Union"	0.0510619
"rate increase"	0.0508411
"summer camp"	0.0508212
voting	0.0507333
"Israeli Cabinet"	0.0505672
runoff	0.0504742
"Council of Ministers"	0.0504631
minicamp	0.0502449
expiration	0.0500502
convocation	0.0499891
commencement	0.0499783
"House Banking Committee"	0.0498952
premiere	0.049763
"Central Council"	0.0497225
presentation	0.0496835
game.	0.0494256
scrimmage	0.0493226
powwow	0.049206
directive	0.0490941
"Zambia Daily Mail"	0.0490386
"board of trustees"	0.0490284
"general secretary"	0.0489695
lecture	0.0488187
"Democratic Convention"	0.0486497
rehearsal	0.0486403
"pep rally"	0.048632
"budget debate"	0.0485195
"All-Star Game"	0.0482828
"Organization of Islamic Conference"	0.0482358
plebiscite	0.0479885
"House of Commons"	0.0478841
workout	0.0477245
"U.N. Security Council"	0.0476889
"Palestinian Council"	0.047528
))
("committee member" (desc 19303.9) (sims
"council member"	0.151629
"board member"	0.136792
lawmaker	0.131936
legislator	0.126384
member	0.125752
congressmen	0.124923
chairmen	0.119664
MP	0.119333
delegate	0.114783
"cabinet minister"	0.10598
parliamentarian	0.104226
senator	0.10111
committee	0.0994139
"committee meeting"	0.0944881
deputy	0.0933528
juror	0.0928268
"federal official"	0.0921388
"business leader"	0.0892407
"labor leader"	0.0881488
trustee	0.0876986
colleague	0.0864398
chairman	0.0860955
vice-president	0.0853123
Councilors	0.0850671
representative	0.0848193
prosecutor	0.0848174
"staff member"	0.0844669
diplomat	0.0836228
commissioner	0.0829934
conferees	0.0828011
activist	0.0819983
constituent	0.0819916
administrator	0.0817141
politician	0.081449
"general secretary"	0.0814265
"government officials"	0.0812514
Democrat	0.0802836
officeholder	0.0799158
"elected official"	0.0799102
committeeman	0.0797729
"top executive"	0.079505
"church member"	0.0794969
"political leader"	0.0792439
Governor	0.0784191
hopefuls	0.078188
Councillor	0.0780582
Congressman	0.0774776
aide	0.0773607
chief	0.0771997
Republican	0.0771813
officer	0.0769858
"policy maker"	0.0769179
treasurer	0.0768325
participant	0.0762365
"foreign officials"	0.0757738
Attorney	0.0755104
"military officer"	0.0750832
executive	0.0749857
educator	0.0747317
aspirant	0.074721
staffer	0.0746483
expert	0.0746367
panelist	0.0744115
"legal expert"	0.0744107
Secretary-General	0.0742299
journalist	0.0737301
judge	0.0732862
supporter	0.0732494
Estrada	0.0731854
vice-chairmen	0.0731234
secretary	0.0730861
lawyer	0.0727449
"Vo Van Kiet"	0.0725741
"union member"	0.0723573
supervisor	0.0720388
appointee	0.0716314
Samaranch	0.0713099
"Phan Van Khai"	0.0712796
businessmen	0.0710661
"army officer"	0.0704067
banker	0.0701482
regulator	0.0699744
policy-makers	0.0699701
delegation	0.0696932
"head of state"	0.0693519
"Wall Street analyst"	0.0693296
"faculty member"	0.0689948
Museveni	0.0688213
academician	0.0687234
"vice chairman"	0.0686654
panel	0.0685803
"business executive"	0.0680088
negotiator	0.0677253
"William Cohen"	0.0677022
Mayor	0.0675695
dignitary	0.067509
bishop	0.067327
chairperson	0.0671613
Chirac	0.067041
adviser	0.0670225
scientist	0.0668014
"secretary of state"	0.0666845
critic	0.066576
"vice president"	0.0664918
Chancellor	0.0664759
advocate	0.0664295
vice-chairman	0.0661383
Lott	0.066091
"military leader"	0.0660627
Council	0.0658412
"religious leader"	0.0658185
investigator	0.0657953
el-Ganzouri	0.065762
organizer	0.0657601
doctor	0.0654821
"Lionel Jospin"	0.0653455
Speaker	0.065343
subcommittee	0.0650947
cadre	0.0650873
"Kofi Annan"	0.0648925
Fischer	0.0648337
Annan	0.0647957
environmentalist	0.0647521
chairwoman	0.0646749
"world leader"	0.0646453
"family member"	0.064611
Moi	0.0645599
Blair	0.0642338
strategist	0.0642276
observer	0.0639905
plaintiff	0.0638041
scholar	0.0637896
psychologist	0.0636485
"Secretary-General Boutros Boutros-Ghali"	0.0636328
"Jean Chretien"	0.0633736
Ruehe	0.0633611
"foreign minister"	0.0633331
voter	0.0632542
Premier	0.063145
Mandela	0.0630806
"Viktor Chernomyrdin"	0.0630087
guest	0.0629256
"Pascoal Mocumbi"	0.0627368
Aziz	0.0625772
physician	0.0625279
"Atal Bihari Vajpayee"	0.0625236
Mbeki	0.0622029
"campaign official"	0.0621807
Daschle	0.0621732
villager	0.0616656
Yeltsin	0.0616054
"Costas Simitis"	0.0615555
economist	0.0615354
Arafat	0.0615022
donor	0.0614319
Diouf	0.0614055
moderate	0.0612995
"Wlodzimierz Cimoszewicz"	0.0612232
Albright	0.0611689
Ambassador	0.0611586
commander	0.0610173
auditor	0.0610148
planner	0.0609953
"FBI agent"	0.0609766
"Tony Blair"	0.0609021
policymakers	0.0608788
Iranian	0.060812
historian	0.0606528
Hastert	0.0605445
Sergeyev	0.0605386
"chief justice"	0.0604485
"political party"	0.0604429
Meles	0.0603303
"Benazir Bhutto"	0.0602962
Tung	0.0602038
relative	0.0601985
Cohen	0.060149
inspector	0.0601138
Wahid	0.0601081
defendant	0.0600728
Barak	0.0595439
"member nation"	0.0594792
defector	0.0593554
nominee	0.0593168
Schroeder	0.0592768
"standing committee"	0.0591802
"rank and file"	0.0591158
"Ehud Barak"	0.0590701
Glickman	0.0589525
Pastrana	0.0589248
principal	0.0588992
dissident	0.0588832
criminologists	0.0588691
Komura	0.0588135
assemblyman	0.0587795
specialist	0.0587621
reporter	0.05873
Zhu	0.0586575
"civil servant"	0.0586424
"finance minister"	0.05863
))
(committeeman (desc 1782.55) (sims
"Frank Luntz"	0.0940704
"Linda Smith"	0.091041
congresswoman	0.0873067
"committee member"	0.0797729
frontrunners	0.0721018
confab	0.0715082
rank-and-file	0.0681293
"Guy Millner"	0.0653408
"Rod Grams"	0.0646226
householder	0.0635895
assemblyman	0.0634891
"Nathan Landow"	0.0603728
shindig	0.0595718
"Mike Foster"	0.0594585
bargainer	0.0590835
officeholder	0.0583239
"state senator"	0.0579013
"vote counter"	0.0570639
"Tom Campbell"	0.0569943
"William Weld"	0.0555232
"Jim Gilmore"	0.0553391
"David Beasley"	0.0548191
polity	0.0547794
"Mary Matalin"	0.0542444
"Dan Lungren"	0.0540058
"Tom Vilsack"	0.0535626
conventioneer	0.0534008
"Justice Party"	0.0533476
JAT	0.0526625
conferees	0.0524947
frontrunner	0.0520969
counteroffer	0.0517102
councilwoman	0.0516202
"Scott Harshbarger"	0.0512425
"Ralph Reed"	0.0510882
bigwig	0.0503476
"state line"	0.0496776
"campaign adviser"	0.0496294
"insurance regulator"	0.0492313
"James Rogan"	0.0486397
"Don Young"	0.0483737
"Connie Mack"	0.047643
"Bob Franks"	0.0475747
"spelling bee"	0.0473814
co-chairwoman	0.0468808
"Rick Santorum"	0.0467656
conclave	0.0457436
"leadership position"	0.0456137
"Peter Fitzgerald"	0.0452499
"Lee Atwater"	0.045246
"primary election"	0.0452191
filibuster	0.0449998
"Lauch Faircloth"	0.0449834
"Dennis Vacco"	0.0444891
"Mitt Romney"	0.0444499
"Mark Sanford"	0.0440676
"Bill Frist"	0.044037
"mental institution"	0.0437391
"George Voinovich"	0.0435747
ISTAT	0.0433193
"Jim Kolbe"	0.0432514
"welfare worker"	0.0431141
"media consultant"	0.0427279
"David Schippers"	0.0426067
"John Huang"	0.0424629
"Johnny Chung"	0.0417514
"management expert"	0.0413594
"floor leader"	0.0409587
lovefest	0.0408401
"Bill McCollum"	0.0407973
"clothing chain"	0.0405191
"savings bank"	0.0402605
Antara	0.0400369
))
(committment (desc 1667.32) (sims
"sense of direction"	0.0838047
adherence	0.0792247
keenness	0.0771386
fillip	0.0719682
exigency	0.0670739
abhorrence	0.0656376
"Financial Supervisory Agency"	0.0617311
nullification	0.0611838
centrality	0.0600827
"tax change"	0.0599246
impediment	0.0594775
"sense of duty"	0.0583858
"political platform"	0.0580636
"civic duty"	0.0580012
"stumbling block"	0.057584
feistiness	0.0549307
molar	0.0548601
allegiance	0.0547351
labor-intensive	0.0543417
"personal appeal"	0.0541742
"sense of purpose"	0.0527925
sincerity	0.0526341
toppling	0.0517722
abdication	0.0517377
"first exposure"	0.0508865
"purchase contract"	0.0506649
"lip service"	0.0503782
acknowledgement	0.0501877
latecomer	0.0500096
reorientation	0.0499009
broadening	0.0489458
hunch	0.0487037
toehold	0.0484192
"academic program"	0.0477786
universality	0.0476673
addendum	0.0473892
dander	0.0473793
uptrend	0.0471652
"equity interest"	0.0470417
enquiry	0.0468137
"road map"	0.0466618
fealty	0.0466113
applicability	0.0464528
farsightedness	0.0464463
comeuppance	0.045922
affront	0.0458905
preamble	0.045726
artificiality	0.0456409
"warning signal"	0.0455911
admonition	0.0453902
Truism	0.0452972
hindrance	0.0448098
similiar	0.0447365
loosening	0.0445798
assent	0.044493
"free rein"	0.044324
mettle	0.0443051
inaccessibility	0.0442379
"parking ticket"	0.0440776
Estimations	0.0440611
"beam of light"	0.0439474
disapproval	0.0438577
"inaugural address"	0.0436537
acquiescence	0.0435844
foothold	0.0434787
"membership card"	0.043425
insensitivity	0.0433172
hackle	0.0433083
"sense of balance"	0.0432949
"job offer"	0.0431541
"pain in the neck"	0.0430227
interdependence	0.0428961
"fellow traveler"	0.0426912
"investor interest"	0.0423257
ID.	0.0423178
fortitude	0.0421333
"moral obligation"	0.0419929
"Self-Defense Forces"	0.0419615
"possible action"	0.0417053
preeminence	0.0416433
"good sense"	0.0415596
avocation	0.0413981
bipartisanship	0.0412989
"campaign adviser"	0.0409678
"drawing power"	0.0409453
federalism	0.0407957
specialities	0.0407238
Satcher	0.0406948
time-frame	0.0406457
sanity	0.0406293
steppingstone	0.0404882
faithfulness	0.0404518
"sense of responsibility"	0.0404367
forbearance	0.0403819
sidelight	0.0403713
"Turkish Republic"	0.0403013
"marriage license"	0.0401662
"expression of regret"	0.0401381
primacy	0.0400349
))
(commode (desc 2227.31) (sims
"writing desk"	0.147285
armoire	0.114753
mantelpiece	0.0997184
settee	0.095814
"card table"	0.0891292
armchair	0.0845334
"kitchen appliance"	0.0841023
vas	0.080595
bookcase	0.0772833
"dining table"	0.0769944
nobleman	0.075261
candelabra	0.0728664
"picture frame"	0.0720513
"art collection"	0.0715077
"coffee table"	0.0705799
"pool table"	0.0704853
cabinetmaker	0.0703602
trestle	0.0663097
"particle accelerator"	0.0655778
sideboard	0.0627569
lamp	0.0620118
"Thomson Multimedia"	0.0607132
"carriage house"	0.0604505
"shower stall"	0.0603524
potty	0.0595662
birdhouse	0.0590193
daguerreotype	0.0584161
livery	0.0575312
drawers	0.0571642
teapot	0.0568117
countertops	0.0567564
proverb	0.0565383
"Lincoln Town Car"	0.0562921
"sewing machine"	0.0558049
"Felix Potvin"	0.0547293
"wall hanging"	0.0544027
"septic tank"	0.0543888
"rocking chair"	0.0543272
"kitchen sink"	0.0539978
"loaf of bread"	0.0538211
Seanez	0.0536191
flooring	0.0533879
"side chair"	0.0532533
headboard	0.0531722
"landscape painting"	0.0530389
faucet	0.0527548
sofa	0.0526658
urn	0.0525594
Ottoman	0.0523957
lass	0.051837
Steinway	0.0518347
ebony	0.0516938
stool	0.0515639
paneling	0.051449
"lounge chair"	0.0510017
gazebo	0.0509357
"sailing vessel"	0.0508455
porcelain	0.0508243
Triptych	0.0508135
pergola	0.0506749
yarmulke	0.0505911
"window frame"	0.0505516
"sea lane"	0.0504014
urinal	0.0501673
"manor house"	0.0500881
"Donald Brashear"	0.0500612
bathtub	0.049554
defibrillators	0.0494921
"sheet metal"	0.0494461
corkscrew	0.0494363
"water jug"	0.0493357
"shower curtain"	0.049258
"conference table"	0.0491879
"Bengal tiger"	0.0487818
dowel	0.0487668
portraitist	0.0487194
"bunk bed"	0.0486197
"sea captain"	0.0480074
scooter	0.0478156
outhouse	0.047769
Highness	0.0473638
"country house"	0.0473372
"two units"	0.0472704
"tennis racket"	0.047184
trellis	0.0471735
"love seat"	0.0468635
chaise	0.0467589
woodwork	0.046726
"ranch house"	0.0467133
enclosure	0.0466592
sorter	0.0463153
dresser	0.0461191
classifieds	0.045888
"rainbow trout"	0.0458816
"pain in the neck"	0.0458717
"stained glass"	0.0458101
musicologist	0.0457916
sloop	0.045752
tableware	0.045663
chandelier	0.045307
two-by-four	0.0452694
wainscoting	0.0451967
schooner	0.0449067
"flight simulator"	0.0448486
"CD player"	0.0448086
pantsuit	0.0445988
"public toilet"	0.0445394
"coaxial cable"	0.0444206
"Court @"	0.0443766
"hearing aid"	0.0442759
"weather satellite"	0.0439742
Casket	0.0439553
lamppost	0.0439136
"Millennium Dome"	0.0438287
smooch	0.0437996
"domed stadium"	0.0436933
mockup	0.0436475
webcams	0.043497
"PLO Executive Committee"	0.0434728
A@@@s	0.0432591
"evening bag"	0.0432221
sleigh	0.0431869
"air filter"	0.0431577
sauna	0.0430419
"man of letters"	0.0429984
"hand tool"	0.0429323
vase	0.0429276
"display case"	0.0428971
lavatory	0.0427942
pronoun	0.0427907
aristocracy	0.0426593
"piece of furniture"	0.0426177
governess	0.0426007
grille	0.0425839
airship	0.0425038
pendant	0.0424216
"train ticket"	0.0422607
Britannia	0.0419898
"space probe"	0.0418367
rowboat	0.0418182
"Federal Council"	0.0416983
lettering	0.0416797
"voting machine"	0.0416352
"Alexander Mogilny"	0.0416296
Palazzo	0.0416246
crematorium	0.0415519
"Bob Knight"	0.0414822
"sewer line"	0.0414303
cockatoo	0.0411456
"gas line"	0.0411161
"parlor game"	0.0410165
courtesan	0.041009
"ad blitz"	0.0409133
hyphen	0.0408769
"line of products"	0.0408612
"word meaning"	0.0408142
"breakfast table"	0.0407596
crucifix	0.0406328
dishwasher	0.0404278
"pumpkin pie"	0.040386
dryer	0.0403675
gutter	0.0403621
Ellipse	0.0403047
"water tank"	0.0402545
louver	0.0402339
crib	0.0402227
playpen	0.0401201
))
(commodity (desc 72823.4) (sims
goods	0.263293
product	0.209302
"raw material"	0.196687
"consumer goods"	0.187989
foodstuff	0.186853
export	0.17882
item	0.177378
import	0.163618
grain	0.150934
textile	0.146231
produce	0.144637
food	0.14331
"crude oil"	0.14317
"food product"	0.138156
"building material"	0.1363
wheat	0.136121
machinery	0.13558
oil	0.134047
fertilizer	0.132768
merchandise	0.1291
garment	0.129012
fuel	0.127724
crop	0.127148
equipment	0.126111
"natural gas"	0.125296
petroleum	0.123773
medicine	0.120718
material	0.117917
rice	0.117719
mineral	0.114308
sugar	0.113316
Coal	0.112209
"foreign exchange"	0.111694
maize	0.111644
pharmaceutical	0.111363
electricity	0.109119
vegetable	0.108632
steel	0.108381
supply	0.107885
"spare part"	0.107547
appliance	0.107399
automobile	0.107129
gasoline	0.107081
"dairy product"	0.106778
cotton	0.106569
timber	0.105724
sector	0.104804
chemical	0.102876
industry	0.102634
resource	0.102386
tobacco	0.102148
"durable goods"	0.10208
wine	0.100093
enterprise	0.100071
poultry	0.0998452
"precious metal"	0.0998011
asset	0.0996752
Clothing	0.099516
handicraft	0.0994742
"palm oil"	0.0991565
"motor vehicle"	0.0991551
coffee	0.099154
"household appliance"	0.0989749
cigarette	0.0985827
electronics	0.0985098
meat	0.0983185
fruit	0.0979087
metal	0.0978317
investment	0.0976134
gas	0.0974353
beef	0.0972924
"real estate"	0.0970279
tea	0.0968683
currency	0.0963138
Copper	0.0960092
"heating oil"	0.0959973
drug	0.0955846
crude	0.0955763
apparel	0.0952159
newsprint	0.0950976
technology	0.0945336
Livestock	0.0942395
petrol	0.0940632
cargo	0.0933437
soybean	0.0930789
tourism	0.0929352
jewelry	0.0928413
stock	0.0926172
component	0.0917441
gem	0.0910136
diamond	0.0909439
cement	0.0909095
pork	0.0907333
toy	0.0901745
"prescription drug"	0.0895113
beverage	0.0894556
jute	0.0891524
shipment	0.0886975
agriculture	0.0883321
energy	0.08818
property	0.0881189
earner	0.0881055
semiconductor	0.0876
"natural resource"	0.0866693
rubber	0.0865481
furniture	0.0865426
bond	0.0864201
corn	0.086045
trade	0.0859553
market	0.0857584
cosmetic	0.0855594
production	0.0850476
Housing	0.0848238
service	0.0845385
staple	0.0844557
business	0.0839623
derivative	0.0830951
petrochemical	0.0829066
"food grain"	0.0827586
banana	0.0827277
lumber	0.0822197
auto	0.0819863
liquor	0.0819589
hardware	0.0816506
"machine tool"	0.0816236
"home appliance"	0.0811955
footwear	0.0811079
cereal	0.0808396
weapon	0.0808342
necessity	0.0807124
cocoa	0.0805566
fish	0.0802129
transaction	0.0798301
fund	0.0797779
insurance	0.0788006
by-product	0.0786775
wool	0.0785824
"high technology"	0.0784057
loan	0.0783437
vehicle	0.0783127
ingredient	0.0781998
transportation	0.0780481
price	0.0779644
volume	0.0779268
"iron ore"	0.0774138
"fuel oil"	0.0772853
input	0.076856
processing	0.0766078
software	0.076557
share	0.0765267
manufacturing	0.076428
"Treasury bond"	0.0763962
tool	0.0759242
dollar	0.0754115
seafood	0.0751302
brand	0.0749251
sale	0.0748643
gold	0.0747136
accessory	0.0744065
"soft drink"	0.0742554
"frozen food"	0.0742059
"cooking oil"	0.0741495
Manpower	0.0740977
output	0.0739199
quantity	0.0735735
"alcoholic beverage"	0.0734821
equity	0.0733755
"food aid"	0.0733174
exporter	0.0732429
transport	0.0731286
alcohol	0.0730076
ticket	0.0726067
milk	0.0724535
gemstone	0.0722116
project	0.0720307
income	0.071971
cocaine	0.0719308
"food supply"	0.0717507
value	0.0717172
Beer	0.0716477
narcotic	0.0715103
"liquefied petroleum gas"	0.0711588
company	0.0710692
car	0.0708857
infrastructure	0.0707727
pesticide	0.0706681
aid	0.0706464
mining	0.0704042
"stock market"	0.0702845
"electric power"	0.070274
"passenger car"	0.0697066
consumption	0.0695755
cattle	0.0695605
deposit	0.0695398
telecommunication	0.0694884
ceramic	0.0692765
freight	0.0691369
banking	0.0691025
instrument	0.069097
ore	0.0690667
))
(commodore (desc 2946.52) (sims
Illini	0.110388
gamecock	0.106911
Lobos	0.103224
Boilermakers	0.101365
Hoosier	0.100058
Hawkeyes	0.097578
"Golden Hurricane"	0.0975519
"Tar Heels"	0.0967307
NAU	0.0945164
Minutemen	0.0902915
terrapin	0.0894543
Razorback	0.0893493
bearcat	0.0893343
Sooners	0.0886359
cougar	0.0884189
bulldog	0.0855141
matador	0.083779
"yellow jacket"	0.0836857
Jayhawks	0.0818981
Trojan	0.0818594
Huskers	0.0793191
Utes	0.0788297
Longhorn	0.0780373
buckeye	0.077903
"Scarlet Knights"	0.0761238
Wolverine	0.0752379
"blue devil"	0.0746783
Spartan	0.074233
CSUN	0.0736765
"Arkansas State"	0.0730783
"Nittany Lions"	0.0730494
badger	0.0705701
Terps	0.0698436
gopher	0.0697181
"Fighting Irish"	0.0691325
wildcat	0.0686239
Aggies	0.0685467
Buffaloes	0.0682542
Starzz	0.0669617
Hokies	0.0660223
Rattler	0.0652669
Hoya	0.0652668
"Red Storm"	0.0648572
Uri	0.0645719
"Crimson Tide"	0.0645048
"Old Dominion"	0.0644495
Fordham	0.0640839
Pepperdine	0.0636885
Wolfpack	0.0636499
Springbok	0.0633385
UAB	0.0632664
"Iowa State"	0.0619519
"Appalachian State"	0.0618462
Vols	0.0617811
"Phoenix Mercury"	0.0610722
"Van Roost"	0.0609521
ASU	0.0604236
Unh	0.0601009
sabre	0.060054
piston	0.0597422
Eagles	0.0595911
"Red Raiders"	0.0590295
"Colo Colo"	0.0589921
K-State	0.0587432
Stephenville	0.0586347
Gators	0.058508
Sparks	0.058427
"Los Angeles Galaxy"	0.0582356
Steelers	0.0580956
husky	0.0579902
lumberjack	0.0575855
Marquette	0.0575078
"Miami Fusion"	0.0575051
Redskin	0.057417
BEARS	0.0573113
BUCCANEER	0.0570397
Cavs	0.0567982
Seminoles	0.0567669
Lehigh	0.0566707
cavalier	0.0563109
Evansville	0.0561625
Av	0.0560945
sixer	0.0560672
"Red Star"	0.055932
Timberwolves	0.0553305
"Chen Gang"	0.0550089
"St. Bonaventure"	0.0546831
charger	0.0546806
"Trail Blazers"	0.0545613
Langley	0.0543305
owl	0.0542938
Raven	0.0540234
Bengals	0.0539155
Kile	0.0538726
Cornhusker	0.0536619
Gonzaga	0.0536572
bronco	0.053185
emachines	0.05312
"Anaheim Mighty Ducks"	0.0530593
UTA	0.0528667
Bucs	0.052778
Jaguar	0.0526967
pacer	0.0526768
Mavs	0.0526423
Sox	0.0526161
Cruzeiro	0.0525586
Hornet	0.0524353
Seahawks	0.052241
Sonics	0.0520521
"UC Santa Barbara"	0.0520215
"Silicon Graphics"	0.051819
Rutgers	0.0515493
"Symantec Corp."	0.0513884
MSU	0.0511565
"Tampa Bay Lightning"	0.0510428
MetroStars	0.0509499
Khorkina	0.0508833
"Chicago Fire"	0.0506673
UNT	0.0505434
Purdue	0.0505044
"Seton Hall"	0.0504561
"Minnesota Vikings"	0.0504385
Mauresmo	0.0503775
"Windows @.@"	0.0503384
Cal	0.0502523
"Galo Blanco"	0.0500973
Canadiens	0.0500577
"Islamic Welfare Party"	0.0500442
Samford	0.0499253
"Saint Louis"	0.049761
"Weber State"	0.0497146
OSU	0.0496693
Tulane	0.04964
Iona	0.0496211
Phillies	0.0495923
Clemson	0.0494262
"Kansas State"	0.049378
panther	0.0493677
"Ong Ewe Hock"	0.0493481
Northridge	0.049345
"Utah State"	0.0493129
lynx	0.0491812
oiler	0.0490829
"Oregon State"	0.0490033
spikers	0.0489781
Vanderbilt	0.0487829
"Penn State"	0.0487347
"Louisiana Tech"	0.0487245
Royals	0.048618
"devil ray"	0.0485997
Moyer	0.0485572
"New York-New Jersey MetroStars"	0.0483192
Gimelstob	0.0482227
"Washington Senators"	0.0480424
"Georgia Southern"	0.0480128
niner	0.0478296
"Tim Hudson"	0.0477865
"White Sox"	0.0475494
"Maple Leafs"	0.0474812
UConn	0.047472
"Mississippi State"	0.0473437
Palmeiras	0.0472196
"Buffalo Sabres"	0.0471303
oddsmakers	0.0468823
Orangemen	0.0467188
Tanaka	0.0466896
"San Jose State"	0.0466574
bobcat	0.0466473
"Vancouver Canucks"	0.0465073
"Packard Bell"	0.0464768
Sugiyama	0.0464416
"Texas longhorn"	0.0463269
"Arizona State"	0.0463083
"Calgary Flames"	0.0463077
Olympiakos	0.0462034
"Montana State"	0.0458908
Checkfree	0.0458498
Ferreira	0.0458446
ABA	0.0458419
halfcourt	0.0457994
Karlsson	0.0457765
Radke	0.0456675
Harnisch	0.0456439
TCU	0.045579
"mainframe computer"	0.0454478
"Texas Tech"	0.0452889
Inkster	0.0452652
"D.C. United"	0.0452467
"Real Betis"	0.0452086
"Zhang Ning"	0.0451532
Mantilla	0.0450191
"Denver Broncos"	0.0450071
videogame	0.0450053
friar	0.0449344
"Miami Heat"	0.0449327
LSU	0.0448928
"St. Louis Rams"	0.044855
Thinkpad	0.0448335
"Peter Rasmussen"	0.0447586
"Dallas Burn"	0.0447394
))
(common (desc 80362.9) (sims
problem	0.0827105
cause	0.0759283
worse	0.0675817
disease	0.062469
same	0.0620901
factor	0.0610699
interest	0.0600458
norm	0.059669
fun	0.0586766
thing	0.0586137
solution	0.0546157
development	0.0545081
infection	0.0544779
occurrence	0.0539566
complex	0.0535452
experience	0.0534543
essential	0.0533847
business	0.0533158
standard	0.0532901
concern	0.0530788
reason	0.0526312
life	0.0522421
opportunity	0.0520461
crime	0.0515954
bad	0.0515593
risk	0.0515142
situation	0.0515033
relationship	0.0509398
trend	0.0507354
option	0.0507026
priority	0.0498134
latest	0.0497948
security	0.0493284
policy	0.0493024
tool	0.0492815
condition	0.04924
peace	0.0487561
improvement	0.0484972
safe	0.0481849
threat	0.0480374
method	0.0478373
fundamental	0.0477216
step	0.0476453
incentive	0.0473218
activity	0.0471313
epidemic	0.0470493
cancer	0.0470224
concept	0.0470062
illness	0.0469822
nothing	0.0469134
symptom	0.0468907
phenomenon	0.046864
element	0.046826
taboo	0.0468134
contact	0.0467706
worst	0.0467345
Nuisance	0.0465124
function	0.0464892
matter	0.0464402
disorder	0.0464216
money	0.0462689
alternative	0.0462269
procedure	0.0462251
tradition	0.046111
resource	0.0460323
product	0.046024
"heart disease"	0.0459244
attention	0.0458318
violation	0.0457665
ideal	0.0456989
environment	0.0456738
subject	0.0455687
topic	0.0455668
training	0.045211
thought	0.045135
drug	0.0450296
access	0.0449671
obstacle	0.0449633
friendship	0.0449083
consequence	0.0447239
choice	0.0446981
key	0.044621
behavior	0.0446034
disaster	0.0445738
characteristic	0.0444529
success	0.0444318
task	0.0444067
strategy	0.0442423
setback	0.0441839
interaction	0.0440628
burden	0.0439307
headache	0.0437839
example	0.0436101
staple	0.0433567
reality	0.0432614
something	0.0430786
technology	0.043037
investment	0.0430265
action	0.0428223
solidarity	0.0427335
hazard	0.0427149
responsibility	0.042672
reminder	0.0426047
"lower than"	0.0425962
response	0.042363
equality	0.0422969
sex	0.0422643
pattern	0.0422627
difficulty	0.0422588
objective	0.0419851
anomaly	0.0419824
value	0.0419293
theme	0.0419241
conflict	0.0415503
diversity	0.041423
progress	0.0413759
ones	0.041327
diabetes	0.0412952
information	0.0412809
testing	0.0412612
communication	0.0412377
mistake	0.0412336
indication	0.0412133
happening	0.0412111
cooperation	0.0411997
difference	0.0411826
secret	0.0411077
Killer	0.041104
food	0.0410839
education	0.0410568
source	0.0410168
culture	0.0408018
understanding	0.0407235
idea	0.0407071
news	0.0405341
structure	0.0405173
skill	0.04039
shock	0.0403662
relation	0.04034
evidence	0.0403166
"health problem"	0.0402916
reaction	0.0402286
item	0.0401552
stability	0.0401087
means	0.040102
democracy	0.0400751
))
("Common Cause" (desc 4836.73) (sims
"Center for Responsive Politics"	0.301444
"Public Citizen"	0.29322
"Families USA"	0.274966
"Human Rights Campaign"	0.184776
"Judicial Watch"	0.179032
"American Lung Association"	0.177149
"Cuban American National Foundation"	0.174795
AARP	0.172712
"Electronic Privacy Information Center"	0.172168
"American Petroleum Institute"	0.167924
"Human Rights Watch"	0.167229
"American Association of Health Plans"	0.166613
"National Organization"	0.158611
"Handgun Control Inc."	0.15783
"Transparency International"	0.157029
"Electronic Frontier Foundation"	0.151987
"Recording Industry Association of America"	0.151676
Greenpeace	0.147403
"Consumers Union"	0.146689
"Securities Industry Association"	0.146603
"Sierra Club"	0.146122
"National Abortion and Reproductive Rights Action League"	0.1453
"American Association of Retired Persons"	0.14485
"Center on Budget"	0.143449
"Log Cabin Republicans"	0.143214
"Amnesty International"	0.142976
"League of Conservation Voters"	0.140789
"American Civil Liberties Union"	0.139917
"Association of Flight Attendants"	0.138656
"New York Civil Liberties Union"	0.134333
ACLU	0.132866
"Anti-Defamation League"	0.131524
"League of Women Voters"	0.130919
"Violence Policy Center"	0.13045
"National Alliance"	0.129993
"U.S. Chamber of Commerce"	0.129967
"Kaiser Family Foundation"	0.129616
"Air Transport Association"	0.129461
"Handgun Control"	0.12857
"National Association of Manufacturers"	0.128553
"Center for Science"	0.12609
"Consumer Federation"	0.126002
"Congressional Research Service"	0.12515
"Wine Institute"	0.121383
UNAIDS	0.121362
"National Association"	0.120655
"Congressional Budget Office"	0.119848
"Urban League"	0.119651
"National Federation"	0.119612
"Southeastern Legal Foundation"	0.119232
"National Education Association"	0.119211
"Motion Picture Association of America"	0.118291
"American Medical Association"	0.117719
"Center for Democracy"	0.115435
NAACP	0.115241
"World Jewish Congress"	0.115132
"Family Research Council"	0.114854
"National Council of La Raza"	0.114825
AFL-CIO	0.113995
Oxfam	0.113501
"National Audubon Society"	0.112273
Caritas	0.111122
"Natural Resources Defense Council"	0.111067
"Urban Institute"	0.108594
TrustE	0.108475
"Center for Strategic"	0.108174
"American Bankers Association"	0.108006
"right to life"	0.107999
"National Republican Congressional Committee"	0.107464
"Planned Parenthood"	0.105369
"National Highway Traffic Safety Administration"	0.104275
"Republican Leadership Council"	0.101897
"National Academy of Sciences"	0.100304
"Pew Research Center"	0.0998661
"National Research Council"	0.0997187
"Heritage Foundation"	0.0996006
"Operation Rescue"	0.0993965
"U.S. Soccer Federation"	0.0991683
"National Rifle Association"	0.0988948
"National Council of Churches"	0.0982878
"Democratic Leadership Council"	0.097995
NARAL	0.0979462
CMA	0.0977293
"Nahdlatul Ulama"	0.0968373
"American Cancer Society"	0.0963958
"Humane Society"	0.0959177
"District Council"	0.0958336
"Institute of Medicine"	0.0944079
"Commission on Presidential Debates"	0.0939694
CBO	0.0935371
"Islamic Jihad"	0.0935366
"General Accounting Office"	0.0924361
"Christian Coalition"	0.0921027
"Business Council"	0.0915952
"Democratic Congressional Campaign Committee"	0.0909782
"Air Line Pilots Association"	0.0901086
"Rainbow/PUSH Coalition"	0.0895857
"World Church"	0.0891624
"American Red Cross"	0.0891103
"Conference Board"	0.0882303
PTA	0.0880852
NRA	0.0880139
"Brookings Institution"	0.0869387
"Audubon Society"	0.0869256
Otpor	0.0865963
guild	0.0859318
OCA	0.0858381
"chamber of commerce"	0.0857899
"Screen Actors Guild"	0.0852943
"Environmental Defense Fund"	0.0852641
"United Way"	0.0842076
"International Rescue Committee"	0.0839789
"Southern Poverty Law Center"	0.0831653
"National Association of Broadcasters"	0.0831037
"Economic Planning Agency"	0.083028
"American Jewish Committee"	0.0824713
"American Federation"	0.0813812
"Communications Workers of America"	0.0811796
NTSB	0.0809857
UNICEF	0.0807658
"Australian Olympic Committee"	0.0807364
HKTA	0.0803976
"New York Times Co."	0.0803893
"Operation Lifeline Sudan"	0.0801436
"Labor office"	0.0798351
"ABC Sports"	0.0796838
"Congressional Black Caucus"	0.0795606
"National Urban League"	0.0795065
"American Heart Association"	0.0791126
"Office of Management and Budget"	0.0791014
"Nature Conservancy"	0.0791003
FALN	0.0789098
GOPAC	0.078834
"World Wildlife Fund"	0.0783984
"Department of Commerce"	0.0780938
"Education Department"	0.0779309
Missourian	0.0778389
"think tank"	0.0776191
SCLC	0.0773658
CWA	0.076918
IEA	0.0767984
FTC	0.0765898
"National Association of Securities Dealers"	0.0765188
"Iraqi National Congress"	0.0761987
"United Steelworkers"	0.0754772
"World Vision"	0.0753045
ama	0.0749206
"Federal Trade Commission"	0.0748846
"Salt Lake Organizing Committee"	0.0744921
SSB	0.0743583
"Players Association"	0.0739305
"Democratic Senatorial Campaign Committee"	0.0738131
"American Bar Association"	0.0736131
"Jupiter Communications"	0.0734769
acorn	0.0733022
"CBS Sports"	0.0731811
"Census Bureau"	0.0729174
"NFL Players Association"	0.0728506
"Chinese Olympic Committee"	0.0727242
ADL	0.0726687
"Nevada Athletic Commission"	0.0722819
"Medical Society"	0.0722008
CPAFFC	0.0720702
ITC	0.0720321
"Promise Keepers"	0.0716796
"Department of Public Safety"	0.0716309
Amal	0.0715484
ABA	0.0714073
"Health Department"	0.0711229
"American Enterprise Institute"	0.0710842
"Sydney Organizing Committee"	0.0710404
"National Transportation Safety Board"	0.0708506
OECD	0.0708327
"U.S. Immigration and Naturalization Service"	0.0707177
"College Board"	0.0701279
taskforce	0.0700495
"National Convention Executive Council"	0.0697927
"National Democratic Alliance"	0.0695961
"Central Intelligence Agency"	0.0691172
"American Academy of Pediatrics"	0.0690806
CAA	0.0690259
"Treasury Department"	0.0689508
"Metropolitan Transportation Authority"	0.0688174
"Sudan People's Liberation Army"	0.068792
"National Association of Realtors"	0.0686847
UNESCO	0.0686323
"Board of Elections"	0.068602
"World Health Organization"	0.068498
"Health Care Financing Administration"	0.0684076
CDC	0.0683956
"Allied Pilots Association"	0.0682666
Gao	0.0682141
"Port Authority of New York"	0.0681731
CSE	0.0680658
"Nielsen Media Research"	0.067826
MTA	0.0677896
"Atlanta Committee"	0.0673849
"National Conference"	0.067139
"Port Authority"	0.067136
AmCham	0.0670833
))
("common cold" (desc 1984.93) (sims
chickenpox	0.147119
bronchitis	0.136464
"rheumatoid arthritis"	0.129599
flu	0.126767
arthritis	0.124286
pneumonia	0.124081
encephalitis	0.122233
hemophilia	0.121954
diarrhea	0.121543
insomnia	0.121416
impotence	0.119977
hepatitis	0.119956
"eye disease"	0.118458
anemia	0.118358
migraine	0.117611
acne	0.117088
tuberculosis	0.115908
Meningitis	0.11393
pox	0.111881
"cardiovascular disease"	0.110425
baldness	0.110271
ulcer	0.109492
epilepsy	0.107495
Parkinson's	0.106654
gastroenteritis	0.105953
Osteoporosis	0.104676
asthma	0.102923
leukemia	0.102234
leprosy	0.0990759
malaria	0.0985981
allergy	0.0985848
"sore throat"	0.0965051
heartburn	0.0956039
"hepatitis B"	0.0954192
Rabies	0.0950576
"yellow fever"	0.0949093
ailment	0.0947325
schizophrenia	0.0941967
als	0.0929097
diabetes	0.0922411
Alcoholism	0.0914079
"multiple sclerosis"	0.0910716
fever	0.0904823
"food poisoning"	0.0904715
"Parkinson's disease"	0.0902193
measles	0.0897084
syphilis	0.089467
apnea	0.089308
"back pain"	0.0886988
Tb	0.0882978
inflammation	0.0873485
"cystic fibrosis"	0.0872457
influenza	0.086255
infertility	0.0857468
"drug addiction"	0.0857416
polio	0.0855629
"neurological disease"	0.0849737
indigestion	0.0837925
Dengue	0.0824801
cholera	0.0823297
"West Nile"	0.0821073
dementia	0.0820666
gonorrhea	0.0819435
psoriasis	0.081682
hypertension	0.0816756
miscarriage	0.0814594
"heart disease"	0.0813365
jaundice	0.0809734
"hot flash"	0.0807206
"muscular dystrophy"	0.0803109
hangover	0.0798835
sickness	0.0782786
"typhoid fever"	0.0772906
"liver disease"	0.0772859
"high blood pressure"	0.0772798
Obesity	0.0762407
ebola	0.0753808
"infectious disease"	0.0753209
affliction	0.0747588
autism	0.0746465
cataract	0.0740138
overwork	0.0729601
"hay fever"	0.072837
"respiratory disease"	0.072819
"Love Bug"	0.0726164
deafness	0.0722674
gallstone	0.0709811
malady	0.0709466
dehydration	0.0707019
"heart failure"	0.0702665
"acquired immune deficiency syndrome"	0.0702048
bifida	0.0696887
diarrhoea	0.0695943
"tooth decay"	0.0693771
"alcohol abuse"	0.0693709
retardation	0.069363
"genetic disease"	0.0687325
starvation	0.0681868
HIV-@	0.0661369
Alzheimer	0.0657859
Psychosis	0.0656382
Dysentery	0.0655348
"kidney stone"	0.0655209
smallpox	0.0654821
abscess	0.0653856
"upset stomach"	0.0652202
"Lyme disease"	0.0648673
"lead poisoning"	0.0647296
paralysis	0.0644682
clotting	0.0641906
botulism	0.0639624
"skin cancer"	0.0634755
lupus	0.0633879
ILOVEYOU	0.0633519
stomachache	0.0633175
narcolepsy	0.0630039
"heroin addiction"	0.0629659
eb	0.0628887
blindness	0.0628824
Exhaustion	0.0627607
"contagious disease"	0.0616289
subsidence	0.0615276
"ill health"	0.0612605
"skin disease"	0.0606886
"accounting problem"	0.0604804
CJD	0.060429
constipation	0.0600503
trachoma	0.059895
polyp	0.0592595
melanoma	0.0588337
"plant disease"	0.0587205
"memory loss"	0.0586532
malnutrition	0.0580275
chiropractic	0.057996
"engine failure"	0.0579053
"water pollution"	0.0578067
"communicable disease"	0.0576876
dryness	0.0574808
angina	0.0574281
lymphoma	0.0572612
osteoarthritis	0.0570303
fibrillation	0.0569875
"foot-and-mouth disease"	0.0567623
"neurological disorder"	0.0562459
"manic depression"	0.0562371
SIDS	0.0561772
gangrene	0.0554711
"writer's block"	0.0554488
morbidity	0.0552637
leper	0.0551236
"Trojan Horse"	0.0547824
"sexually transmitted disease"	0.0546361
sterility	0.0539467
"venereal disease"	0.0538085
malaise	0.0535613
sunburn	0.0533949
glaucoma	0.0533522
herpes	0.0529938
STDs	0.0518327
sneeze	0.0518077
nearsightedness	0.0517508
homelessness	0.0515294
"mental disorder"	0.0515078
infestation	0.0514989
"mental illness"	0.0514695
malignancy	0.0514202
nausea	0.051231
side-effects	0.0507432
"lung cancer"	0.0506813
displacement	0.0499066
rotavirus	0.0497366
"cancer death"	0.049612
"bank failure"	0.049452
"blood clot"	0.0488323
"animal skin"	0.0488185
vomiting	0.0488113
"heroin addict"	0.0486907
"kidney disease"	0.0485597
"dengue fever"	0.048414
incontinence	0.0482925
overconfidence	0.0480372
atherosclerosis	0.0477552
clot	0.0472894
typhoid	0.0469086
"acid rain"	0.046908
diphtheria	0.0468106
"crop failure"	0.0467438
dysfunction	0.0465031
downdraft	0.0462254
restlessness	0.0461665
"HIV/ AIDS"	0.046142
gout	0.0456448
discouragement	0.0455894
"skin rash"	0.0454498
tetanus	0.0453241
"stage fright"	0.0450912
resister	0.0447228
"morning sickness"	0.044608
temblor	0.0438118
recidivism	0.0435128
))
("common denominator" (desc 4900.83) (sims
"common factor"	0.0697532
birthrate	0.067111
"silver lining"	0.0634269
drawback	0.052832
"rule of thumb"	0.0528037
rung	0.0521204
"standard operating procedure"	0.0517303
caveat	0.0495556
"turnover rate"	0.0487642
"fertility rate"	0.0474049
consolation	0.0472597
criterion	0.045731
"tax bracket"	0.0456883
hunch	0.045579
misconception	0.0455214
"general agreement"	0.0451453
misperception	0.0446079
paradox	0.0445967
similarity	0.0443214
"population density"	0.0441608
"written record"	0.0440959
mantra	0.0433278
achiever	0.0432271
commonality	0.0429721
"center of gravity"	0.0429668
axiom	0.0428398
iota	0.0428372
"tax advantage"	0.0424795
"management fee"	0.0424003
"income bracket"	0.0421911
"dollar amount"	0.0420978
"first language"	0.0420862
"poverty rate"	0.0419373
palate	0.041347
"great deal"	0.0408155
"accounting problem"	0.0407775
"school of thought"	0.0406198
"vacancy rate"	0.0405389
"good part"	0.0404902
certainty	0.0403032
"flash point"	0.0400653
))
("common factor" (desc 1029.95) (sims
no-no	0.0734553
"common denominator"	0.0697532
baserunner	0.0624556
"service break"	0.0619351
"risk factor"	0.0593103
"silver lining"	0.0581418
"woman's body"	0.0574252
life-threatening	0.0558884
"base runner"	0.0558077
"Kosovo Information Center"	0.054429
"elbow room"	0.0542601
no-decision	0.0535481
"great deal"	0.0530819
"word of advice"	0.0527814
zinger	0.0522622
molar	0.0514238
"rule of thumb"	0.0511998
ECN	0.050827
sub-branches	0.0505522
mistrial	0.0505001
tossup	0.0495668
"break of serve"	0.0485267
toehold	0.0484149
"million yuan"	0.0477408
"school of thought"	0.0465622
toss-up	0.046429
smooch	0.0464268
co-counsel	0.0453317
"one sack"	0.045219
soulmate	0.045005
"accounting problem"	0.0449021
stinker	0.0448593
"more than @,@@@ yards"	0.0448417
"change of mind"	0.0447783
"sales outlet"	0.0445898
"first @"	0.0445362
Trailblazer	0.04452
near-monopoly	0.0444534
"ray of light"	0.044203
trainload	0.0435411
"strong force"	0.0434692
second-worst	0.0434245
"weak point"	0.0433977
"more than @@ billion US dollars"	0.0433371
"pen pal"	0.0431255
"shell game"	0.0430229
"police lieutenant"	0.0428759
clunker	0.0426621
"flash point"	0.0426256
prong	0.0425984
"telephone set"	0.0423646
third-highest	0.0422714
"set point"	0.0421339
non-issue	0.0413822
"opera company"	0.0409486
"flower garden"	0.040836
richest	0.0406232
"man's body"	0.0405381
baserunners	0.0404179
"No. @s"	0.0401381
Downer	0.0400983
"one school"	0.040029
))
("common law" (desc 2752.86) (sims
"Fifth Amendment"	0.111837
"civil law"	0.111502
non-Jewish	0.109439
nobleman	0.100033
"First Amendment"	0.0845746
serfdom	0.0786075
"antitrust law"	0.0741261
"collective security"	0.0734805
ERISA	0.0687563
jurisprudence	0.0662325
"market economy"	0.0659971
"criminal law"	0.0659889
GSP	0.0649034
"Fourth Amendment"	0.0646305
Irish-American	0.0644047
"maritime law"	0.0642656
Marxism-Leninism	0.0632946
newlywed	0.0632753
"proportional representation"	0.0631394
federalism	0.0628004
"sea captain"	0.0620925
non-Hispanic	0.0615777
one-China	0.0613026
"upper class"	0.0601184
"United Nations Charter"	0.0601096
Hasidic	0.059965
"Francis Bacon"	0.0598515
Sharia	0.0596313
"Second Amendment"	0.0583102
"blue blood"	0.0580084
"administrative law"	0.0578337
Stalinist	0.0567801
non-Muslim	0.0566223
slain	0.0565906
"international law"	0.0561899
"manor house"	0.0557065
ABM	0.0552735
Anglo-American	0.0544294
nonintervention	0.054253
"price support"	0.0542298
celibacy	0.0538855
"Orthodox Jewish"	0.0532832
seniority	0.0530576
tort	0.0530497
grammar	0.0527868
aristocracy	0.0526332
"social insurance"	0.0522746
deterrence	0.0522299
"free trade"	0.0522191
monogamy	0.0518157
"rule of law"	0.0518048
colonialist	0.051323
CDMA	0.0509681
photojournalist	0.0507353
patronage	0.0507244
"Brian Jones"	0.0501116
Campos	0.0500588
"Reform Judaism"	0.0500328
gotcha	0.0497796
colonist	0.0496602
Consulate-General	0.049238
"public transit"	0.049013
shoemaker	0.0488647
"building code"	0.0488561
zoning	0.048425
self-government	0.0480593
Sino-U.S.	0.0480361
"Universal Declaration"	0.0478514
ISU	0.0476595
triage	0.0476084
pacifism	0.0475707
bookkeeping	0.0475677
SDH	0.0475062
adage	0.0474125
"Community Reinvestment Act"	0.0473571
conscription	0.0469902
"Voting Rights Act"	0.0469895
"business cycle"	0.0468955
"attorney-client privilege"	0.0467213
ranching	0.0466392
"army engineer"	0.0463842
literati	0.046304
"David Irving"	0.046286
"free enterprise"	0.0461651
NMD	0.0461508
"Title IX"	0.0461352
"boarding school"	0.0455845
"working class"	0.0454023
China-U.S.	0.0453605
"U.N. Charter"	0.0452828
"due process"	0.0450337
"Justin Rose"	0.0449171
"Resolution @@@@"	0.044715
"property right"	0.044645
Torah	0.0444884
Gonzales	0.0444839
Mexican-American	0.0443794
"quantum mechanics"	0.0441837
Marxism	0.0441238
Amish	0.044104
"country house"	0.044098
Sino-French	0.0439816
verity	0.04398
ex-convict	0.0438011
confidentiality	0.0437885
Romanov	0.0437839
amateurism	0.0435212
Etiquette	0.043439
Scientology	0.0433582
Ada	0.0432873
"freedom of the press"	0.0432563
Riady	0.0432447
CFTC	0.043228
"roughly @,@@@"	0.0432241
"white supremacy"	0.0431425
satirist	0.0429929
Shariah	0.0429012
Fulham	0.0428482
reciprocity	0.0428272
phonics	0.0426218
overlord	0.0425691
musicologist	0.0423602
hippie	0.0423388
"securities industry"	0.0422059
"shot putter"	0.0421885
commissary	0.0420999
TMD	0.0420845
Makah	0.0420233
"inventory control"	0.0419649
"legal instrument"	0.0419399
pluralism	0.0418547
"Clean Air Act"	0.0418386
coastguard	0.0417883
Countess	0.0417043
secularist	0.0416822
CWC	0.0416405
nine-year	0.041447
motoring	0.0414345
decorum	0.0413286
Filtration	0.0412473
yuppie	0.0411868
prudence	0.0410134
Stroganoff	0.0409998
THAAD	0.0409555
Miranda	0.0409285
Sino-Japanese	0.0407106
bedrock	0.0406597
O'Hair	0.0405908
Asian-American	0.0404753
GATT	0.0404187
imperialism	0.0404102
"Nationality Law"	0.0403615
regionalism	0.0403254
liturgy	0.0402466
))
("common man" (desc 3781.93) (sims
downtrodden	0.117817
oppressed	0.0728503
"working man"	0.0726772
"common people"	0.058227
"working class"	0.0543879
"Reagan Democrats"	0.0515601
Irishmen	0.046124
"small farmer"	0.0449114
"Christopher Reeve"	0.0442122
Zionist	0.0440498
citizenry	0.0437444
psychopath	0.0434711
optimist	0.0434565
wrongdoer	0.0432901
Vixen	0.0430354
homebuyers	0.0406333
"New Democrat"	0.0405279
))
("Common Market" (desc 2821.09) (sims
"Common Market for Eastern and Southern Africa"	0.196827
"Economic Cooperation Organization"	0.148356
"Inter-Governmental Authority on Development"	0.146953
"Organisation of African Unity"	0.125976
"Organization for Economic Cooperation and Development"	0.124851
"Non-Aligned Movement"	0.124659
"Organization of Islamic Conference"	0.12343
"African Economic Community"	0.118139
"Economic Community of West African States"	0.114679
"South Pacific Forum"	0.107789
"Southern Africa Development Community"	0.105327
"Southern African Development Community"	0.104868
"Inter-Parliamentary Union"	0.104479
"Caribbean Community"	0.101422
"South Asian Association for Regional Cooperation"	0.101076
"South American Common Market"	0.0992213
IPU	0.086651
"Commonwealth of Independent States"	0.0857743
"World Bank Group"	0.0856143
"Association of Southeast Asian Nations"	0.0807283
"Gulf Cooperation Council"	0.0791957
COMESA	0.0791013
"World Tourism Organization"	0.0786945
"Chinese Olympic Committee"	0.0770199
"International Maritime Organization"	0.0770117
"Rwandan Patriotic Front"	0.0770024
"International Society"	0.0769414
OECD	0.0756053
"Group of @@"	0.0741104
"Southern Common Market"	0.0738862
"Andean Community"	0.0737853
"Economic Community"	0.0734277
"Organization of African Unity"	0.0731973
SAARC	0.0725072
"China Youth Development Foundation"	0.0717457
UPU	0.0711376
"Olympic Council of Asia"	0.0709331
"World Intellectual Property Organization"	0.0692412
"Executive Committee"	0.0684202
"Rio Group"	0.0683465
"Central Organ"	0.0677873
"East African Cooperation"	0.067738
"Universal Postal Union"	0.0674672
"Organization of American States"	0.0673874
"Economic Commission for Africa"	0.0670688
"Democratic Alliance"	0.0658257
"Organization of Petroleum Exporting Countries"	0.064951
"United Nations Educational, Scientific and Cultural Organization"	0.0628028
"Arab League"	0.0623907
"Paris Club"	0.0613143
"Group of Rio"	0.0608256
EAC	0.0604628
IGAD	0.0603989
"Canadian Alliance"	0.0595172
"Monetary Policy Committee"	0.059345
"military commission"	0.0593257
eco	0.0589437
CITES	0.0587737
"Arab Parliamentary Union"	0.058696
"Asia-Europe Meeting"	0.0584038
Lakas-NUCD	0.0583463
"Asia Pacific Economic Cooperation"	0.0582718
ESCAP	0.0582309
"China Society"	0.0580688
G-@@	0.0576715
"Congressional Black Caucus"	0.0565307
"Ministry of International Trade and Industry"	0.0563488
"North Atlantic Treaty Organization"	0.0562022
"United Nations Drug Control Program"	0.0561245
OIC	0.0559905
"Jerusalem Committee"	0.0554139
"jockey club"	0.0553714
"State Law and Order Restoration Council"	0.055147
"Damascus Declaration"	0.0550725
"Kenya African National Union"	0.054879
"United Nations Conference on Trade and Development"	0.0545513
"Economic Commission for Latin America"	0.0538052
"Free Trade Area"	0.0524165
"PLO Executive Committee"	0.0523223
"Council of Ministers"	0.0521221
"Human Rights Commission"	0.0517554
SADC	0.0515921
UNIDO	0.0514421
GCC	0.0512772
"Council of Europe"	0.0510725
"Free Democratic Party"	0.0508861
UPC	0.0505549
"secret society"	0.050038
PATA	0.0500093
"Alcoholics Anonymous"	0.0496927
"League of Nations"	0.0496698
ICC	0.0494783
"European Space Agency"	0.0494399
"Liberation Movement"	0.0493146
"Gaullist Rally"	0.0489835
"Christian Democratic Party"	0.0486276
"Provisional Urban Council"	0.0484135
"planning board"	0.0480683
"House International Relations Committee"	0.0479921
Mercosur	0.047876
"Nuclear Non-Proliferation Treaty"	0.0478367
"United Malays National Organization"	0.0477971
ASEM	0.0475788
"United Nations Children's Fund"	0.0473148
"Organizing Committee"	0.0472618
"Banking Committee"	0.0469351
"Socialist Party"	0.0468703
"National Democratic Alliance"	0.0468094
"Ninth CPPCC National Committee"	0.0465848
"European Community"	0.0464234
"Ninth National Committee"	0.0463214
"Association for Relations Across"	0.0461724
"popular front"	0.0461695
"Asia-Pacific Economic Cooperation"	0.0461237
"Minas Gerais"	0.046063
Interpol	0.0460086
"Eighth National Committee"	0.0457748
"Executive Board"	0.0453701
"New Aspiration Party"	0.0453413
"Beijing Municipal Government"	0.0452336
"Badminton Association of Indonesia"	0.0448682
"National Association"	0.0445698
"Chinese Society"	0.0441323
UNESCO	0.0439694
SDP	0.04396
"National Democratic Party"	0.0439475
"International Committee of Red Cross"	0.0438611
"Revolutionary Party"	0.0438503
NSC	0.0437536
"East African Community"	0.0436629
"National Executive Committee"	0.0435288
CMC	0.0432286
"U.N. Conference"	0.0429562
"International Federation"	0.0429255
"Board of Governors"	0.042821
"CPPCC National Committee"	0.0428202
"United Nations Conference"	0.0428043
"All-China Youth Federation"	0.0427923
"Kosovo Verification Mission"	0.0426674
"Shanghai Municipal Government"	0.0426415
"Housing Authority"	0.0426391
"Warsaw Pact"	0.0421707
"Congress Working Committee"	0.0418742
"New Korea Party"	0.0416929
WEU	0.0416265
"Islamic Conference"	0.0415057
"General Committee"	0.0412616
"Western European Union"	0.0412157
"Rules Committee"	0.0411372
"House Budget Committee"	0.0411314
Confederation	0.0410009
"National Society"	0.0408848
"Great Lakes Region"	0.0408486
"Indonesian Armed Forces"	0.0407878
"Commonwealth Ministerial Action Group"	0.0407611
"Mormon Church"	0.0404412
"Tourism Authority of Thailand"	0.0404003
NPT	0.0403245
"Nahdlatul Ulama"	0.0402802
))
("Common Market for Eastern and Southern Africa" (desc 4897.25) (sims
COMESA	0.228945
"Economic Cooperation Organization"	0.21206
"Organization of African Unity"	0.210011
"Economic Community of West African States"	0.204451
"Organization of Islamic Conference"	0.197428
"Common Market"	0.196827
"Southern African Development Community"	0.190321
"Organisation of African Unity"	0.190246
"Southern Africa Development Community"	0.184299
"South Pacific Forum"	0.165244
"Organization for Economic Cooperation and Development"	0.162763
"Association of Southeast Asian Nations"	0.161834
"South Asian Association for Regional Cooperation"	0.159805
"Inter-Governmental Authority on Development"	0.159793
"Non-Aligned Movement"	0.15185
"Group of Rio"	0.148049
"Economic Community"	0.146124
"East African Cooperation"	0.142101
"Organization of Petroleum Exporting Countries"	0.137714
"United Nations Conference on Trade and Development"	0.135006
"Inter-Parliamentary Union"	0.134932
"Caribbean Community"	0.129358
"Gulf Cooperation Council"	0.128962
"Group of @@"	0.128324
OECD	0.126728
"Council of Europe"	0.12464
"Arab League"	0.118844
"Joint Military Commission"	0.118598
"United Nations Industrial Development Organization"	0.117631
SADC	0.115088
"Olympic Council of Asia"	0.114661
OAU	0.112975
"China Youth Development Foundation"	0.111725
"Asia Pacific Economic Cooperation"	0.108468
"Central Organ"	0.108173
"Organization of American States"	0.105008
ESCAP	0.10458
"United Nations High Commissioner for Refugees"	0.104435
commonwealth	0.10442
"World Tourism Organization"	0.103054
"African Development Bank"	0.102584
"United Nations Children's Fund"	0.102021
OIC	0.101928
"South American Common Market"	0.101627
"Universal Postal Union"	0.101591
EAC	0.101443
"East African Community"	0.101122
"International Labor Organization"	0.101095
"North Atlantic Treaty Organization"	0.0995368
"Asia-Pacific Economic Cooperation"	0.099254
"Rio Group"	0.0990307
"Economic Commission for Africa"	0.0980386
"Executive Committee"	0.0964871
"Commonwealth of Independent States"	0.09594
"Arab Parliamentary Union"	0.0953014
"United Nations Population Fund"	0.0910359
GCC	0.0903015
IPU	0.089409
"African Economic Community"	0.0892906
Malawian	0.0891373
"National Executive Committee"	0.088987
ECOWAS	0.0885539
UNESCO	0.0863854
"Badminton Association of Indonesia"	0.0860822
"International Maritime Organization"	0.0860153
"Hong Kong Tourist Association"	0.0849342
"U.N. Environment Program"	0.0848965
"Group of Seven"	0.0836943
"World Economic Forum"	0.0836678
G-@@	0.083316
"Chinese Olympic Committee"	0.0821166
IGAD	0.0819491
"Southern Common Market"	0.0818699
"United Nations Educational, Scientific and Cultural Organization"	0.0818497
"Palestinian National Council"	0.081557
eco	0.0812983
Ci	0.0802434
"Andean Community"	0.0800609
UPU	0.0797134
"Kenya African National Union"	0.079504
"United Nations High Commission for Refugees"	0.0793514
"World Health Organization"	0.0792395
"United Nations Environment Program"	0.0791952
"Group of Eight"	0.079172
ASEAN	0.0789704
UNCTAD	0.0789669
"U.N. High Commissioner for Refugees"	0.0787618
"World Bank"	0.0780571
"United Nations Development Program"	0.0780453
grouping	0.0775076
"Western European Union"	0.0772054
ILO	0.0768067
"Food and Agriculture Organization"	0.0765487
"Board of Investment"	0.0762431
Mercosur	0.0749385
"Asia-Europe Meeting"	0.0745643
"PLO Executive Committee"	0.0733135
organisation	0.0732059
SAARC	0.0729695
"United Nations Conference"	0.072907
BOI	0.0711863
"UN Security Council"	0.0710877
"European Council"	0.0708195
"International Federation"	0.070754
Interpol	0.0706663
"World Intellectual Property Organization"	0.0706161
"Damascus Declaration"	0.0698849
WEU	0.0698711
IGC	0.0697246
"Congress Working Committee"	0.0692296
"International Society"	0.0692145
"Department of Environment"	0.0687428
ARF	0.0684519
"Jerusalem Committee"	0.0684248
"Organization for Security and Cooperation in Europe"	0.0681882
"World Trade Organization"	0.0680288
OSCE	0.0678578
"Southern Africa"	0.0673339
"Provisional Ruling Council"	0.067049
"United Nations Security Council"	0.0669805
APEC	0.0666279
"European Monetary Union"	0.0665796
"European Commission"	0.065758
"Andean Group"	0.0657353
"World Food Program"	0.0653801
"International Red Cross"	0.0653486
"municipal government"	0.0651672
"U.N. Conference"	0.0650034
ASEM	0.0647743
CAS	0.0643432
OPEC	0.0638796
"Monetary Policy Committee"	0.0630413
"non-governmental organizations"	0.0628529
"Commonwealth Ministerial Action Group"	0.0621354
G-@	0.0618641
"European Space Agency"	0.0617109
"Shanghai Municipal Government"	0.0615138
ECA	0.0614377
"International Monetary Fund"	0.0614013
"Ministry of Planning"	0.0612086
"Palestine Liberation Organization"	0.0612086
"ASEAN Regional Forum"	0.060892
UNIDO	0.0607132
"Ministry of International Trade and Industry"	0.060461
"Congressional Black Caucus"	0.0601841
"Liberation Movement"	0.0601135
ICC	0.0598227
"Contact Group"	0.0598198
"Bank of Zambia"	0.059779
HKTA	0.0593089
CITES	0.0592148
"Provisional Legislative Council"	0.0589756
"Xinhua News Agency Hong Kong Branch"	0.0588073
"Communist Party of China"	0.0587579
UN	0.0587566
"Economic Commission for Latin America"	0.0579255
"U.N. agencies"	0.0578793
UNEP	0.0576833
"World Jewish Congress"	0.0575993
JMC	0.0575451
"Philippine National Police"	0.0573926
HKMA	0.0573782
"Kenyan shilling"	0.0572102
"French Foreign Ministry"	0.0570524
"U.N. Security Council"	0.056993
"Great Lakes Region"	0.0567752
"international organization"	0.0567352
"member country"	0.056327
FTA	0.0563251
NPA	0.0561332
"EU Commission"	0.0560418
"Bank for International Settlements"	0.0558292
"Ministry of Health"	0.0557373
Ghanaian	0.0556342
"Economic and Social Council"	0.0555156
"British High Commission"	0.055123
"International Criminal Tribunal for Rwanda"	0.055116
"Ministry of Education"	0.0551051
"Ministry of Industry"	0.0551022
"African Unity"	0.0550975
"International Committee"	0.0549603
OAS	0.0549597
"Rwandan Patriotic Front"	0.0549554
"Electoral Commission"	0.0549377
"Straits Exchange Foundation"	0.0547112
"Indonesian Armed Forces"	0.0546784
"Asian Development Bank"	0.05465
"China Securities Regulatory Commission"	0.0546443
"Palestinian Liberation Organization"	0.0546202
"Supreme Council"	0.0545579
"NPC Standing Committee"	0.0545358
"Board of Supervisors"	0.0544146
"China Society"	0.0543095
"Council of Ministers"	0.0540953
"Commission on Elections"	0.0540731
Moi	0.0539623
EBRD	0.0539595
"governing board"	0.0538804
NSC	0.0538605
"high commissioner"	0.0538396
))
("common people" (desc 2897.97) (sims
MIAs	0.068142
"common man"	0.058227
"working man"	0.0576031
seafarer	0.0575555
Ohioan	0.0564822
"non-governmental organizations"	0.0538133
Tibetans	0.052248
dweller	0.0520543
"French people"	0.0514482
"British people"	0.049929
citizenry	0.0464383
"written word"	0.0458579
laid-offs	0.0454983
humankind	0.0443586
"Sri Lankans"	0.0439224
mankind	0.0437252
"Kosovar Albanians"	0.0430007
"coal miner"	0.0417724
Malay	0.0416689
"working class"	0.0409075
Chinese-Indonesians	0.0407559
"business sector"	0.0401185
))
("common sense" (desc 21926.9) (sims
decency	0.150047
courage	0.122572
wisdom	0.121124
patience	0.116373
compassion	0.115713
fairness	0.114712
honesty	0.112468
humility	0.112074
prudence	0.109969
ethic	0.108959
"good sense"	0.105642
logic	0.105207
civility	0.101888
sanity	0.1
dignity	0.0984158
judgment	0.0977976
morality	0.0975643
intelligence	0.0971553
integrity	0.0962383
intuition	0.0947376
maturity	0.0942905
kindness	0.0932572
tolerance	0.0922094
toughness	0.0917508
discipline	0.091133
professionalism	0.0909474
foresight	0.090661
Creativity	0.0903025
modesty	0.0901957
instinct	0.0890995
knowledge	0.0886629
skill	0.0883626
conscience	0.0871672
imagination	0.0864228
"hard work"	0.086217
intellect	0.0853223
"sense of humor"	0.0852472
sense	0.0851707
restraint	0.0846883
fortitude	0.0844018
perseverance	0.0825463
generosity	0.0824421
loyalty	0.0819403
"good manners"	0.0816963
sportsmanship	0.0808846
competence	0.08036
pragmatism	0.0801589
tact	0.080013
understanding	0.0799755
humor	0.0793186
poise	0.0791107
empathy	0.0788506
emotion	0.0787246
self-control	0.0784384
sensitivity	0.078106
wit	0.0780274
passion	0.0779329
diligence	0.0776622
faith	0.0769999
sincerity	0.0769126
Luck	0.0767773
moral	0.0766132
acumen	0.0760892
self-discipline	0.0756319
ingenuity	0.0753585
consistency	0.0750756
charm	0.0746536
stamina	0.0745512
determination	0.0744048
teamwork	0.0739515
charisma	0.0734336
respect	0.0732874
objectivity	0.0730088
candor	0.0729516
spirit	0.0728724
truth	0.0726777
talent	0.0726766
decorum	0.0724333
moderation	0.0722115
Privacy	0.0722009
dedication	0.0718965
curiosity	0.0718124
warmth	0.071506
responsibility	0.0713789
flexibility	0.071299
willpower	0.0712667
sophistication	0.0711771
perspective	0.071171
transparency	0.0711571
"sense of responsibility"	0.071121
originality	0.0710158
ability	0.070323
seriousness	0.070319
vision	0.0702324
"good will"	0.0700562
credibility	0.0699523
finesse	0.0698388
clarity	0.0695625
tenacity	0.0695298
self-confidence	0.0691841
"due process"	0.0691589
savvy	0.0689473
attitude	0.0688541
self-restraint	0.0686598
idealism	0.0685422
realism	0.0685249
expertise	0.0683214
insight	0.0681657
proactive	0.0677121
reality	0.0675148
philosophy	0.0674491
sensibility	0.0674291
spirituality	0.0673202
rationality	0.0672168
ambition	0.0672136
subtlety	0.0671744
caution	0.067074
taste	0.0668185
confidence	0.0667486
accountability	0.0667418
Openness	0.0664968
precedent	0.0664171
practicality	0.0662458
patriotism	0.066109
pride	0.0660776
enthusiasm	0.065926
sympathy	0.0658181
temperament	0.0657223
Etiquette	0.0652519
self-awareness	0.0651783
discretion	0.0648245
intensity	0.0647081
efficiency	0.0646312
versatility	0.0644482
bravery	0.0641034
directness	0.0641024
desire	0.0640479
probity	0.0638507
willingness	0.0633853
prejudice	0.0632015
perception	0.0630087
personality	0.0630068
awareness	0.0629806
daring	0.062866
thinking	0.0628103
ruthlessness	0.062705
feeling	0.0626272
"bad luck"	0.0625653
"sense of duty"	0.0619322
guesswork	0.0618299
elegance	0.0615911
devotion	0.0615365
grace	0.0613779
purity	0.0609997
goodness	0.0607633
exaggeration	0.0607181
depth	0.0607099
"wishful thinking"	0.0607014
humanity	0.06063
diversity	0.0605676
gut	0.0605441
justice	0.0604969
quickness	0.0603006
certainty	0.0602557
Sacrifice	0.059931
"rule of law"	0.0598754
decisiveness	0.0597256
fun	0.0596268
dynamism	0.0594116
freshness	0.0591128
grit	0.0591099
belief	0.0589552
pizazz	0.058934
frugality	0.0588152
individuality	0.0587973
goodwill	0.0587172
clout	0.0586714
"trial and error"	0.0586693
interpretation	0.058328
trust	0.0582828
arrogance	0.0582383
commitment	0.0580018
principle	0.0578808
reasoning	0.0577176
gentleness	0.0577081
familiarity	0.0576943
freedom	0.0574949
skepticism	0.0572351
fundamental	0.0571347
motivation	0.0571345
precision	0.0571271
beauty	0.0571091
comfort	0.0569875
technique	0.0569184
protectionist	0.0568391
ideal	0.056836
strength	0.0564196
nonsense	0.0564077
happiness	0.0564004
suspense	0.056385
))
("common shares" (desc 4142.79) (sims
"ordinary shares"	0.245482
"common stock"	0.186041
"one share"	0.161192
"preferred shares"	0.150572
"B share"	0.149668
"preferred stock"	0.133565
"convertible bond"	0.107487
"currency unit"	0.106639
"minority stake"	0.105024
feddans	0.104384
B-shares	0.104249
reais	0.103725
dwt	0.100058
"U. S.dollars"	0.0940404
U.S.dollars	0.0882648
debenture	0.086706
kwanza	0.0859845
sq.km	0.0859651
"Deutsche Mark"	0.0858957
ECUs	0.0830037
bale	0.0824614
Pula	0.0822067
ECU	0.0810228
dinar	0.080702
"Rolls-Royce Motor Cars"	0.0806987
enrollee	0.0800546
"controlling interest"	0.078531
T-bonds	0.0784632
hryvna	0.0765307
dollars-worth	0.0753953
Petrofina	0.0752111
iMacs	0.0750424
tonne	0.0742264
A-shares	0.0728501
"Zimbabwe Dollars"	0.0725509
"Mobil Corp."	0.0713689
pataca	0.0708272
euros	0.0706173
"stock option"	0.0701994
Snapple	0.0701176
USD	0.0701167
"Treasury note"	0.0698181
sq.m	0.0696639
"brokerage account"	0.069514
"commercial paper"	0.0692585
"U.S. Dollars"	0.068996
"Kremlin Cup"	0.0689854
mainlanders	0.06856
Orangina	0.0683337
"Uganda Shillings"	0.0679912
"media property"	0.0679521
birr	0.0678257
kWh	0.0677153
"Times Mirror Co."	0.0674348
shekel	0.067281
"Treasury bond"	0.0671014
"Sri Lankans"	0.0670763
"passenger car"	0.0669442
"Kenya Shillings"	0.06662
Ciena	0.0665475
elector	0.0665105
shareholding	0.0662694
KUNA	0.0661261
subscriber	0.0657492
"ownership stake"	0.0654489
job-seekers	0.0645673
beany	0.0645673
"Nippon Credit Bank"	0.0633467
PRIMESTAR	0.0632183
policyholder	0.0627665
"equity stake"	0.0624691
handset	0.0621527
"two units"	0.0616654
"savings bond"	0.0613195
"copper mine"	0.0611243
"debt issue"	0.0611211
"card holder"	0.0609955
"Atlantic Richfield Co."	0.0609909
T-bill	0.0607562
Eurobonds	0.0605752
bpd	0.0604268
hryvnas	0.0604231
"business line"	0.0603571
easements	0.0602852
"season ticket"	0.0601445
"business unit"	0.0600075
tranche	0.0597349
Beijingers	0.0596286
"Ameritech Corp."	0.0595916
Ukrainians	0.059539
illiterate	0.0592277
"farm machine"	0.0591505
"Bankers Trust Corp."	0.0589426
"Treasury bill"	0.058596
"debt security"	0.0584753
PolyGram	0.0581291
"washing machine"	0.0578969
"Learning Company"	0.0578259
"line of products"	0.0577651
"tv set"	0.0570103
spindle	0.0568974
"parcel of land"	0.0560062
Rai	0.0559662
kg	0.0555377
"Thomson Multimedia"	0.0553474
"equity interest"	0.0551679
sapling	0.0551601
"Tanzania Shillings"	0.0551138
transistor	0.0548842
Furbys	0.0545203
kgs	0.0543222
"piece of land"	0.0539447
"labor force"	0.0538547
"Orange PLC"	0.0538406
laid-offs	0.0536042
ha	0.0535971
"Fred Meyer"	0.0535006
workforce	0.0534112
"software product"	0.0533528
"Atlantic Richfield"	0.0533345
"X-ray machine"	0.0532501
Scania	0.053106
shredders	0.052816
Kia	0.0520875
Mach	0.052049
ruble	0.0520324
tablet	0.0520275
pensioner	0.051938
VND	0.0518797
"minority interest"	0.0518593
"national income"	0.0518415
"color television"	0.051761
A@@@s	0.0516994
"MediaOne Group"	0.051505
"roughly one-third"	0.0514766
"Learning Co."	0.0514441
GeoCities	0.0512322
"telephone line"	0.0511304
"summer house"	0.0511241
Netcom	0.0510928
"three pitchers"	0.0510276
Nabisco	0.0509814
"Tele-Communications Inc."	0.0507417
"Bay Networks"	0.0507071
Comsat	0.0506136
"motor vehicle"	0.050271
"Wireless HKT"	0.0502483
ringgit	0.0501797
"work day"	0.0501777
Lari	0.050177
"manufacturing business"	0.0501568
copier	0.0499548
cardholders	0.0498112
"U.S. Trust"	0.0497624
ICS	0.0497032
ATX	0.0497015
"North Koreans"	0.0496177
sq	0.0495513
"purchase order"	0.0494817
cu.m	0.0492808
bottlers	0.0491473
"software package"	0.0491386
"temporary worker"	0.0490964
yearling	0.0489332
Conrail	0.0486028
"bond issue"	0.0484876
S-@@@	0.0484819
"train ticket"	0.0484512
"equity fund"	0.0482589
IOU	0.0481604
shilling	0.0478544
Fingerhut	0.0477451
OFWs	0.0473299
scrip	0.0472882
"cable system"	0.0471213
test-takers	0.0470406
"postage stamp"	0.0470361
"initial offering"	0.0469864
"roughly two-thirds"	0.0469716
"water right"	0.0469577
"work of art"	0.0469158
"cubic meter"	0.0468595
Bangladeshi	0.0468259
"electric car"	0.0466134
"patent right"	0.0465372
Mozambican	0.0464393
receivables	0.0463514
"brokerage unit"	0.0462153
"Philippine Stock Exchange Index"	0.045772
Nicaraguan	0.0456582
YPF	0.0455171
"phone line"	0.0455076
"Pentium III"	0.0454269
"Long-Term Credit Bank"	0.0453741
Peruvian	0.0453155
metical	0.0452776
"compact disc"	0.0452303
registrant	0.0451086
"compact disk"	0.0448916
"weapons system"	0.0446335
))
("common stock" (desc 12701.7) (sims
"preferred stock"	0.186574
"common shares"	0.186041
stock	0.144435
"Vanguard Index @@@"	0.111521
"municipal bond"	0.10958
"convertible bond"	0.10599
equity	0.103565
"ordinary shares"	0.0943476
"B share"	0.0889498
"Treasury bond"	0.0827632
"one share"	0.0813502
debenture	0.0804449
bond	0.0802511
"Treasury bill"	0.0771053
"savings bond"	0.0757232
shareholder	0.0757044
asset	0.0755583
annuity	0.0740529
"junk bond"	0.0735635
"preferred shares"	0.0727505
"stock option"	0.0725544
debt	0.0713371
"bond fund"	0.0707769
"initial public offering"	0.0700791
"debt security"	0.0686608
B-shares	0.0681267
"mutual fund"	0.0671004
"Roth IRA"	0.0670335
"growth stock"	0.0640882
IPO	0.0638005
stake	0.0636946
"life insurance"	0.061498
REIT	0.060405
VoiceStream	0.0603369
dividend	0.059736
"equity stake"	0.0579421
Janus	0.0571228
"brokerage account"	0.0565946
"blue-chip stock"	0.0559008
mortgage	0.0558172
merchandise	0.0554759
"tender offer"	0.0551193
"retirement plan"	0.0548875
portfolio	0.054811
"money market"	0.0547965
"closed-end fund"	0.0546169
subscription	0.05447
"retirement account"	0.054415
"ransom money"	0.0533576
"Treasury note"	0.0531346
"equity fund"	0.0529373
"gross income"	0.0522906
"precious metal"	0.0520239
Eurobonds	0.0508939
"bank deposit"	0.0508861
Magellan	0.0508502
"venture capital"	0.0506113
"season ticket"	0.0506067
"Global Crossing"	0.0505069
Ciena	0.0504313
scrip	0.0502416
receipt	0.0501268
"national income"	0.0500448
"real estate"	0.0500091
"minority stake"	0.0497857
GeoCities	0.0494325
saving	0.0491671
proceeds	0.0491345
"building permit"	0.0491039
"small cap"	0.0490351
"capital stock"	0.048716
"tax revenue"	0.0480006
"production cost"	0.0476085
"commercial paper"	0.0475096
"net income"	0.0471384
"bond issue"	0.047027
"operating cost"	0.0465367
"certificate of deposit"	0.046039
"insurance policy"	0.0457895
"legal fee"	0.0457867
Eurobond	0.0456029
"working capital"	0.0454408
euros	0.0453148
"consumer goods"	0.0451999
"child support"	0.044996
ruble	0.0447665
"revenue bond"	0.0447335
bullion	0.0445987
IRA	0.0445725
Nabisco	0.0444386
T-bill	0.0444347
stockholder	0.0443159
"property tax"	0.0441897
T-bonds	0.0441706
escrow	0.0439029
Comsat	0.0438579
pension	0.0435386
Priceline.com	0.0432819
Healtheon	0.0431833
arrears	0.0430729
Airtouch	0.0425367
condominium	0.0424838
restitution	0.0420339
"promissory note"	0.0419552
"patent right"	0.0418692
premium	0.0417922
BankAmerica	0.0417543
royalty	0.0417235
"capital expenditure"	0.0416125
buyout	0.041512
Barclays	0.0414829
Lucent	0.0414542
"MCI WorldCom"	0.0414366
"bank debt"	0.0412743
"penny stock"	0.0412397
"proxy statement"	0.0411153
liability	0.0411108
shareholding	0.0410792
"pension fund"	0.0410487
"cash payment"	0.0410306
"computer equipment"	0.0409142
sponsorship	0.0408825
Mannesmann	0.0408085
certificate	0.0407582
Ransom	0.0405901
wireless	0.0405315
Paribas	0.0404755
"Telecom Italia"	0.0402535
endowment	0.0402342
))
(commonality (desc 3281.29) (sims
complementarity	0.111825
similarity	0.0998221
divergence	0.0937236
self-discipline	0.0857894
differentiation	0.0774125
interdependence	0.076959
cohesion	0.0756165
breadth	0.0742372
"practical application"	0.073271
kinship	0.072555
immediacy	0.0719272
unanimity	0.0713409
"Great Divide"	0.0709727
"difference of opinion"	0.0692884
overlap	0.0692456
trepidation	0.0689741
Convergence	0.068866
camaraderie	0.0672542
synergy	0.0659893
compatibility	0.0658653
cross-fertilization	0.0654121
asymmetry	0.063315
groundswell	0.0630794
"staying power"	0.0630523
continuity	0.0626014
friction	0.0620595
solidarity	0.0617426
inkling	0.060748
mistrust	0.0605508
"ill will"	0.0605357
pluses	0.0605059
"sacred cow"	0.0600734
closeness	0.0598128
"elbow room"	0.0596555
"natural ability"	0.0596255
articulation	0.059302
inhibition	0.0590575
cross-pollination	0.0586118
myopia	0.0585799
"language barrier"	0.0582761
animosity	0.0581484
"good will"	0.0578567
Amity	0.0575512
"preconceived notion"	0.0574314
"state of war"	0.057032
estrangement	0.0570251
coherence	0.0570068
intimacy	0.0569817
resonance	0.0564698
specificity	0.0563127
"team spirit"	0.0560084
"trade barrier"	0.0559453
wide-range	0.0558031
"frame of reference"	0.0557847
variability	0.0557545
familiarity	0.0555703
good-neighborliness	0.0553619
affinity	0.0552528
"cost structure"	0.0552473
frailty	0.0550147
contradiction	0.0549412
"bad blood"	0.0548673
relevance	0.0547233
linkage	0.0546674
universality	0.0546344
sincerity	0.0544283
crosscurrent	0.0538877
Openness	0.0538083
rapport	0.0532857
"leisure time"	0.0525055
ambivalence	0.0524656
permanence	0.0522186
rapprochement	0.0522064
uniformity	0.0520031
schism	0.0518831
accoutrement	0.0517359
coincidence	0.0514978
certainty	0.0511749
interplay	0.0507343
diminution	0.0506866
primacy	0.0505892
uniqueness	0.0505745
diversification	0.0504821
spacing	0.050463
foresight	0.0504425
comity	0.0502806
self-worth	0.0502741
urgency	0.0502248
affirmation	0.0501054
potentiality	0.050079
confluence	0.0500231
willpower	0.0500073
resilience	0.0499401
verisimilitude	0.0495639
self-satisfaction	0.0495008
"business relation"	0.0494276
continuum	0.0493691
fissure	0.0493657
exigency	0.0493277
elasticity	0.0493119
"mutual understanding"	0.0492793
sameness	0.0492297
misunderstanding	0.049161
"missionary work"	0.0491227
responsiveness	0.0490413
interoperability	0.0490249
comprehension	0.0490243
specialization	0.0489308
clarity	0.0488662
intermarriage	0.0487893
cohesiveness	0.0487006
teamwork	0.0483689
blandishment	0.0483461
corroboration	0.0483099
restlessness	0.0481415
explosiveness	0.048121
lessening	0.0480942
ignominy	0.04807
"political relation"	0.0479476
goodwill	0.0479127
individuality	0.0477629
distinctiveness	0.0477267
"sense of responsibility"	0.0476771
self-control	0.0476098
"raw talent"	0.0474977
oneness	0.0474554
hesitancy	0.0473266
"written agreement"	0.0472909
pooling	0.0471621
malignancy	0.0469756
dissension	0.0467938
fluidity	0.0467609
detente	0.046746
"personal relation"	0.0467313
seriousness	0.0466958
"civic duty"	0.0466747
empathy	0.0466735
misgiving	0.0465756
timelessness	0.0465348
cleavage	0.046388
seniority	0.0462854
mobility	0.0462264
ambiguity	0.0461161
slippage	0.0459424
polarization	0.0458456
adaptability	0.0458196
neighborliness	0.0456188
bitterness	0.045593
heft	0.045555
"breathing room"	0.0455125
self-esteem	0.0453373
nexus	0.0452449
self-respect	0.0451977
antecedent	0.0451109
"reaction time"	0.0451069
downtime	0.0450616
imbalance	0.0450195
gravity	0.044981
culpability	0.0449103
authenticity	0.044859
incompatibility	0.0448555
"great deal"	0.0447497
exhilaration	0.0447319
discrepancy	0.0446691
conciliation	0.0446425
paradox	0.0446241
ifs	0.0444209
"direct evidence"	0.0443763
dichotomy	0.0442984
competence	0.0442971
disaffection	0.0442583
"economies of scale"	0.0442535
rightness	0.0441909
disillusionment	0.0441851
interrelationship	0.0441708
FTA	0.044162
originality	0.0441538
self-confidence	0.0439232
headway	0.0439016
subjectivity	0.0437983
slackening	0.0437486
enmity	0.0437241
collegiality	0.043665
mismatch	0.04364
richness	0.0435472
"good fortune"	0.0434414
"sense of purpose"	0.043432
presumption	0.0433405
Jewishness	0.0433019
"written record"	0.0433008
brotherhood	0.0430705
fullness	0.0430303
"co- operation"	0.0429819
"common denominator"	0.0429721
"trade issue"	0.042894
validity	0.0427959
finger-pointing	0.0427323
togetherness	0.042727
handiwork	0.0426971
self-reliance	0.0425688
))
(commoner (desc 1644.69) (sims
transsexual	0.0796625
nonentity	0.0706061
"important person"	0.0687614
"Mahatma Gandhi"	0.0687111
"big leaguer"	0.0643972
socialite	0.0622342
"shop assistant"	0.0610245
aristocrat	0.0600922
"one of the boys"	0.0578867
paraplegic	0.0572606
baby-boomers	0.0568253
Abraham	0.0559861
"second person"	0.055893
"world traveler"	0.0556842
"Royal Caribbean"	0.0552364
co-defendants	0.0549037
whore	0.0548271
"guiding light"	0.0543688
"Holland America"	0.0541412
punchline	0.0540038
"animal product"	0.0539265
nobleman	0.0536024
"Sidney Poitier"	0.053378
megastar	0.0532552
"Dodi Fayed"	0.0532463
vote-getters	0.0528231
firstborn	0.0524024
"Ecton Park"	0.0520935
I.	0.0519526
Yazdi	0.0518142
homemaker	0.0517342
"traveling salesman"	0.0514378
shipmate	0.0505843
heiress	0.0501993
Alexei	0.0501856
"black person"	0.0499444
"center of attention"	0.0497075
"New Democrat"	0.0494805
"day laborer"	0.0493045
overachiever	0.0490035
"rock star"	0.0488978
miler	0.0487727
joiner	0.0484555
breadwinner	0.0484374
Brigadier	0.0482215
Erik	0.0479143
transient	0.04761
"dance band"	0.047593
Bartholomew	0.0475615
"Kimberlite Pipe"	0.0473864
layman	0.0473599
rascal	0.0473212
mortal	0.0472851
businesswoman	0.0472775
courtier	0.0472689
chambermaid	0.0471246
valedictorian	0.0469914
"wise man"	0.0469739
trickster	0.0466733
eighth-grader	0.0465419
amputee	0.0459884
whiner	0.0459355
divorcee	0.0458125
Philip	0.0456682
"social group"	0.045499
gumption	0.0452792
schemer	0.0451841
"good person"	0.0450032
"Parker Bowles"	0.0450012
Gentile	0.0446353
Horne	0.0444881
"Southern Baptist"	0.0444108
cipher	0.044333
lass	0.044271
"mechanical device"	0.0441044
cellmate	0.0437372
"shower curtain"	0.0436257
herder	0.0436194
brat	0.0436028
"opera star"	0.0434026
hyphen	0.0434003
non-Jew	0.043394
"Lawrence Russell Brewer"	0.0433241
nobility	0.0433236
"three pitchers"	0.0432689
ideologue	0.0431574
Clapton	0.0431026
Evert	0.0430804
"naval officer"	0.0430429
"Queen Noor"	0.0429944
Hirohito	0.0429179
grown-up	0.0428463
"half sister"	0.0427415
"Unknown Soldier"	0.0426038
"heroin addict"	0.0424278
"prima donna"	0.0423915
inductee	0.0423415
stepdaughter	0.042288
"leading man"	0.0422865
Hickman	0.0422007
"retail operation"	0.0420789
Isabella	0.0420742
McGreevey	0.0420086
"Kurt Rambis"	0.0419526
ancients	0.0417243
Trailblazer	0.0416503
"hypodermic needle"	0.0415854
Adele	0.0414575
Isaac	0.0413924
Polly	0.0413419
"rich man"	0.0413219
beau	0.0412467
first-rounder	0.0411372
Brenda	0.0410261
sockeye	0.04101
"torture chamber"	0.0409767
co-captain	0.040963
"heavy hitter"	0.0409228
"hard worker"	0.0408723
"Holy Spirit"	0.0408144
whistle-blower	0.0407899
"military man"	0.0407492
pontoon	0.0407204
"young lady"	0.0406843
Luis	0.0406239
manipulator	0.0405489
Creationists	0.0405461
"Mogao Grottoes"	0.0404739
Mullah	0.0403143
Kat	0.0402824
Hefner	0.0402158
chipmakers	0.0401891
"Cindy McCain"	0.0401651
Fiorina	0.0401629
swashbuckler	0.0400952
"murder suspect"	0.0400085
))
(commonplace (desc 6289.24) (sims
pariah	0.0480836
well-respected	0.0479913
safest	0.0458667
hackle	0.0450013
deepest	0.0436017
rarest	0.0435039
Triptych	0.0425487
anachronism	0.0423883
proactive	0.0410289
))
(Commons (desc 3802.41) (sims
"House of Commons"	0.198396
"Texas Senate"	0.134945
Bundestag	0.124069
"Lower House"	0.110276
"Israeli Cabinet"	0.108509
"Lok Sabha"	0.105383
Knesset	0.104281
"House of Lords"	0.0993911
"Federation Council"	0.0989397
"Texas House"	0.098714
Duma	0.0978202
"Russian State Duma"	0.0977888
"US House"	0.0947052
"State Duma"	0.0933362
"Russian Parliament"	0.0895923
"House Ways and Means Committee"	0.0883011
"House Banking Committee"	0.0837272
"National Assembly"	0.0828743
"Upper House"	0.082727
"city council"	0.0818377
"House of Representatives"	0.0804823
"Scottish Parliament"	0.0801201
"United States Congress"	0.0787646
"Republican House"	0.0776993
Majlis	0.077667
"Rules Committee"	0.07761
"Israeli Knesset"	0.0772346
"Palestinian Legislative Council"	0.0764298
"European Parliament"	0.0757998
"legislative assembly"	0.0749115
"Senate Judiciary Committee"	0.0746674
"English Football Association"	0.0743699
"Senate Appropriations Committee"	0.0741031
"House Budget Committee"	0.072951
"U.S. Congress"	0.0723672
"Senate Commerce Committee"	0.0703007
"Board of Supervisors"	0.0700806
"Senate Finance Committee"	0.0694222
"Senate Banking Committee"	0.0689925
three-fifths	0.0689348
"House Appropriations Committee"	0.0689151
"US Senate"	0.0685246
"state legislature"	0.068507
"Senate Armed Services Committee"	0.0674117
"Los Angeles City Council"	0.0672202
"House International Relations Committee"	0.0670904
"general assembly"	0.0659193
two-third	0.0658313
"second reading"	0.0655141
"Ways and Means Committee"	0.0642812
"Texas Legislature"	0.0641969
"Downing Street"	0.0633981
"electoral college"	0.0631454
"closed session"	0.0628386
"Russian Duma"	0.062808
"Banking Committee"	0.0605886
nominating	0.0601449
"Senate Governmental Affairs Committee"	0.0600437
DPR	0.0600346
"Philippine Stock Exchange"	0.0599735
"Senate Foreign Relations Committee"	0.0592595
"Great Hural"	0.0583973
"U.S. Senate"	0.0580469
"Palestinian Council"	0.0580109
"US Congress"	0.0578088
"U.N. Security Council"	0.0575212
"Business Times"	0.0572891
"United States Senate"	0.0560558
"Palestine National Council"	0.0557571
"Senate Republican"	0.0557007
"House Judiciary Committee"	0.0555642
"United Nations Security Council"	0.0553379
"House Commerce Committee"	0.0545851
"Northern Ireland Assembly"	0.0543635
"Commerce Committee"	0.054167
"Texas Supreme Court"	0.0536491
"Senate Budget Committee"	0.0534655
"British government"	0.0531196
"Judiciary Committee"	0.0528904
"Salt Lake"	0.0521005
"National Research Council"	0.051969
keynote	0.0519142
"Constitutional Assembly"	0.0516842
statehouse	0.0515422
"International Badminton Federation"	0.0509362
"Russian Communist Party"	0.0501771
"board of regents"	0.0498722
"British Parliament"	0.0493368
"House GOP"	0.0489648
"conference committee"	0.0488621
"Turkish Foreign Ministry"	0.0488197
"first reading"	0.0485562
"Ethics Commission"	0.0481557
"legislative council"	0.0479125
"Republican Senate"	0.0478966
SJC	0.0476748
"French Foreign Ministry"	0.0476497
"Turkish Daily News"	0.0475244
"Appropriations Committee"	0.0474389
PUC	0.0473443
"Federal Council"	0.0471875
Lausanne	0.0467322
"finance committee"	0.0464891
BRATISLAVA	0.0464519
"Joint Liaison Group"	0.0464152
"Le Monde"	0.0464097
"Ghana News Agency"	0.0462677
"Supreme Soviet"	0.0461855
Belfast	0.0461619
Bern	0.0459187
"Wimbledon Tennis Championships"	0.0456655
"Ulster Unionist Party"	0.0455876
FEC	0.0455622
"Football Association"	0.0454033
third-grade	0.0452006
"East Room"	0.0450349
Yerevan	0.0449862
"rose garden"	0.0449163
"Straits Times"	0.0449126
"Agence France Presse"	0.0448522
DFB	0.0446461
Astana	0.0444208
House-Senate	0.0444201
EOHR	0.0443373
"Russian Foreign Ministry"	0.0442741
HHS	0.044205
"Southern Baptist Convention"	0.0441662
"Melbourne Park"	0.0439914
MPR	0.043956
"Iranian Foreign Ministry"	0.0435846
Kyprianou	0.0435607
"El Pais"	0.0435441
"ethics committee"	0.0435145
"summary judgment"	0.0434841
NHTSA	0.0432755
Tory	0.0432313
"seventh and eighth"	0.0431999
"Sydney Morning Herald"	0.0430371
"Conservative Party"	0.0429613
"Agence France-Presse"	0.0428995
EP	0.0428903
"Philippine Senate"	0.042805
Lakas	0.0427833
OCA	0.0427626
Linz	0.0425285
"Palestinian National Council"	0.0424212
"Russian Defense Ministry"	0.0423553
"Palestinian Central Council"	0.0423298
IRNA	0.0422141
fact-finding	0.042197
nay	0.0420883
PNC	0.0419216
iTV	0.0419023
Spiegel	0.0416306
"Hang Seng China-Affiliated Corporations Index"	0.0415154
"Human Rights Commission"	0.0414656
CEC	0.0414587
ITC	0.0414564
CBI	0.0414533
"legislative branch"	0.0414179
"House Government Reform Committee"	0.0414138
L'Equipe	0.0410955
DSE	0.0410943
"Federal Trade Commission"	0.0410756
"Federal Communications Commission"	0.0409227
ITF	0.0409024
"Truth Commission"	0.0409002
"Des Moines Register"	0.0408753
"Vietnam News"	0.0408609
FOMC	0.0408251
"Moscow Times"	0.0406931
NDP	0.0405501
"Federal Election Commission"	0.0405161
Ramallah	0.0403929
"London Metal Exchange"	0.0403456
"United Press International"	0.0403191
FCC	0.0402557
"Gaza City"	0.0400909
PDI	0.0400857
"Dow Jones Newswires"	0.040077
))
(commonwealth (desc 26279.5) (sims
ANZ	0.168032
Westpac	0.158406
"Commonwealth Bank"	0.152464
"Commonwealth Bank of Australia"	0.14698
"Arab League"	0.127002
"National Australia Bank"	0.122711
SADC	0.120929
OAU	0.117799
OIC	0.115784
"Rio Tinto"	0.111442
COMESA	0.110799
"Council of Europe"	0.108258
GCC	0.107514
"Organization of African Unity"	0.107241
OECD	0.106237
WMC	0.10478
"Organization of American States"	0.104607
"Association of Southeast Asian Nations"	0.104536
"Common Market for Eastern and Southern Africa"	0.10442
"Economic Community of West African States"	0.104037
NAB	0.103307
G-@@	0.102491
"Non-Aligned Movement"	0.102268
"Southern African Development Community"	0.101007
ASEAN	0.100567
OSCE	0.0986473
"Caribbean Community"	0.0952826
"European Union"	0.0951248
ECOWAS	0.0938618
IPU	0.0934247
OAS	0.0933919
eco	0.0914265
U.N.	0.0908924
"United Nations"	0.0908043
BHP	0.0906931
SAARC	0.0903215
"Organization for Economic Cooperation and Development"	0.0898353
EU	0.0888057
"North Atlantic Treaty Organization"	0.088359
grouping	0.0883206
"Gulf Cooperation Council"	0.087373
EAC	0.0865819
UN	0.0843568
Ci	0.0842048
OPEC	0.0836502
ASEM	0.0825379
"Organization of Petroleum Exporting Countries"	0.0824073
"Economic Cooperation Organization"	0.0821717
"European Community"	0.0817976
APEC	0.0814562
G-@	0.0809554
"Economic Community"	0.0802385
"Industrial Index"	0.0801759
"Rio Group"	0.0800232
WEU	0.0792436
"international organization"	0.078848
"United Nations Security Council"	0.0784574
"Commonwealth of Independent States"	0.0781963
"Organization of Islamic Conference"	0.0780542
"Group of Seven"	0.0776736
federation	0.0774594
"U.N. Security Council"	0.0774351
"Southern Africa Development Community"	0.0773285
organization	0.0761397
"preferred shares"	0.0758447
NATO	0.0753182
"Western European Union"	0.0751645
Council	0.0728601
"Contact Group"	0.0726046
bloc	0.071874
"Security Council"	0.0708644
"UN Security Council"	0.0708587
"Group of Rio"	0.0707188
"Asia-Pacific Economic Cooperation"	0.0698396
CMAG	0.0694073
"Asia Pacific Economic Cooperation"	0.068545
CBA	0.0673217
Mercosur	0.0672049
UNESCO	0.0668461
IGAD	0.0666053
"Andean Group"	0.0661675
"South Asian Association for Regional Cooperation"	0.0661672
"Group of Eight"	0.0659932
"Group of @@"	0.065765
"Wireless Optus"	0.0648331
union	0.0647118
WTO	0.0645947
E.U	0.0643688
Interpol	0.0642465
"European Commission"	0.0642377
ANC	0.0634429
"Emas Index"	0.0630117
IMF	0.0628855
"World Bank"	0.0624313
FIFA	0.0622434
"International Monetary Fund"	0.0613896
IOC	0.0612078
"Islamic Conference"	0.0609698
Alliance	0.0608035
"World Trade Organization"	0.0603909
"International Red Cross"	0.0599772
UNCTAD	0.0599528
"World Health Organization"	0.0599458
association	0.0592315
"East African Cooperation"	0.0590293
"Communist Party"	0.0589384
organisation	0.0588096
UPU	0.0587833
NAM	0.0587228
"Paris Club"	0.0583797
PLO	0.0583452
ICRC	0.0583058
"World Tourism Organization"	0.0581292
"Organization for Security and Cooperation in Europe"	0.0579159
Republic	0.0578682
"Second Board Index"	0.0576669
Pakistan	0.0574357
"News Corp"	0.056949
"Latin American"	0.0569025
"Amnesty International"	0.056876
Arab	0.0568374
Cambodia	0.0568127
"member country"	0.0567209
Libya	0.0566742
"African National Congress"	0.0565594
Nigeria	0.0565202
society	0.0563091
"Andean Community"	0.0562381
"International Olympic Committee"	0.0562208
"African Unity"	0.0557102
U.S.	0.0554177
ECA	0.0553957
UNITA	0.0550761
"Labor Party"	0.0550316
"trade union"	0.0548518
ACP	0.0547565
"African country"	0.054731
"South Africa"	0.054607
colony	0.0543857
G@	0.0542988
DPRK	0.054189
ILO	0.0540257
IAEA	0.0537011
Kanu	0.0536937
Vatican	0.0534644
"International Labor Organization"	0.0534359
"political party"	0.0530516
NAACP	0.0530505
"EU Commission"	0.0530414
CITES	0.052796
ministry	0.0523966
"Democratic Party"	0.0523925
Zimbabwe	0.0523838
"local government"	0.0522467
Egypt	0.0521483
"World Food Program"	0.0519421
FAO	0.051884
troika	0.051657
institution	0.0516307
"African nation"	0.0514574
"Palestine Liberation Organization"	0.0511472
"Southeast Asian"	0.0510727
G@@	0.0510372
Israel	0.0510185
commission	0.0508206
"business community"	0.0508024
"Lion Nathan"	0.0506361
UMNO	0.0505287
"United Nations Children's Fund"	0.0504917
ADB	0.0502997
"European nation"	0.0502071
D-@	0.0501664
UNDP	0.0501262
"International Federation"	0.0500294
Mexico	0.0500241
ESCAP	0.0500088
"United Nations Development Program"	0.0499853
"Common Market"	0.0499174
parliament	0.0498956
Australia	0.0498788
Ghana	0.0497961
Telstra	0.0495808
"Kofi Annan"	0.0494664
AMP	0.0494156
European	0.0493622
Ethiopia	0.0492691
Confederation	0.0492342
"Straits Times Index"	0.0491353
Taiwan	0.0491212
"Socialist Party"	0.049071
Iraq	0.0490394
"Executive Committee"	0.0490203
Britain	0.0490172
"European Monetary Union"	0.0490035
SDP	0.0489396
league	0.0489318
Iran	0.0489253
Coalition	0.0488735
cabinet	0.0487061
NCAA	0.0486731
))
("Commonwealth Bank" (desc 2987.03) (sims
Westpac	0.544247
"Commonwealth Bank of Australia"	0.491916
ANZ	0.491853
"National Australia Bank"	0.38831
"Rio Tinto"	0.385238
WMC	0.335978
BHP	0.327882
"Wireless Optus"	0.273126
"News Corp"	0.270351
"Industrial Index"	0.260528
NAB	0.259562
"preferred shares"	0.232166
"Second Board Index"	0.21279
"Emas Index"	0.210614
"Straits Times Index"	0.202224
"Nikkei Stock Average"	0.193503
"Xetra Dax"	0.192145
"Straits Times Industrials Index"	0.186083
SPH	0.176047
Telstra	0.175752
"CAC @@"	0.174532
"Tokyo Stock Price Index"	0.169526
"GE Life"	0.167965
"Lion Nathan"	0.165578
CRA	0.165323
AMP	0.164752
"Philippine Stock Exchange Index"	0.160465
"Fletcher Energy"	0.15445
"Creative @@"	0.153139
commonwealth	0.152464
"Composite Index"	0.144696
"Carter Holt Harvey"	0.144183
"FTSE @@@"	0.142119
sub-index	0.137566
CBA	0.137115
STI	0.135804
"Fletcher Paper"	0.135032
Nikkei	0.134002
PacCent	0.133803
"Fletcher Building"	0.133559
"City Development"	0.131487
scrip	0.13146
"SPH @@@"	0.130281
"Weighted Price Index"	0.129038
"Hang Seng Index"	0.120469
"Brierley Investment"	0.119281
"Hang Seng"	0.117738
db	0.114992
"bond price"	0.112827
OCBC	0.111652
"Fletcher Forest"	0.111398
warrant@@	0.110269
"Air New Zealand"	0.109555
sharemarket	0.108798
"Dow Jones Industrial Average"	0.108314
w@@	0.107788
DAX	0.106846
Woodside	0.106677
"futures price"	0.105804
CAC	0.104578
"Hang Seng China-Affiliated Corporations Index"	0.103943
"Hang Seng China Enterprises Index"	0.103153
Bovespa	0.101976
HSI	0.10102
SIA	0.100241
FT-SE	0.0982721
"pork belly"	0.097966
"Philippine peso"	0.0973376
"Singapore Press Holdings"	0.0965743
industrials	0.0962518
CAC-@@	0.0949732
"Shanghai Composite Index"	0.0931102
UOB	0.0922952
sub-indices	0.0913497
bramble	0.0903221
Sensex	0.0896778
"Auckland Airport"	0.0892034
"ordinary shares"	0.0890641
"New Zealand dollar"	0.0888512
"NASDAQ Composite Index"	0.0875693
Telecom	0.0868479
"Sensitive Index"	0.0867806
"Eli Lilly"	0.0864215
"Hang Seng Bank"	0.0847357
"Brierley Investments"	0.0835842
"blue chip"	0.0833282
Qualcomm	0.0831811
"F&AMP;N"	0.0823939
"Bovespa Index"	0.0821107
"blue-chip stock"	0.0814926
"earning per share"	0.0811257
"share price"	0.0786242
"market average"	0.0777383
SingTel	0.0777169
"Australian dollar"	0.0776048
"HSBC Holdings"	0.0770472
CMG	0.0769848
"bank rate"	0.0769192
"Sky TV"	0.0769137
UAL	0.0767034
Unisys	0.0761053
Barclays	0.075979
"eight cents"	0.0756238
blue-chips	0.0752163
"JDS Uniphase"	0.075023
RAMBUS	0.0735201
Grosjean	0.073511
"Stock Exchange of Thailand"	0.0732861
"truck sale"	0.0727533
"home sale"	0.0723805
soybean	0.072318
"factory order"	0.0721234
FTSE	0.0720081
"Contact Energy"	0.0717546
"Dayton Hudson"	0.0714944
Stocks	0.0710098
"Hutchison Whampoa"	0.0708076
"British pound"	0.0701471
Weyerhaeuser	0.0700366
palladium	0.0700264
"Canadian dollar"	0.0699828
Orders	0.0697366
Composite	0.0696457
"News Corp."	0.0694347
bullion	0.0691445
"Waste Management"	0.0688845
"net income"	0.0688733
IPC	0.0683842
"gas price"	0.068018
Dow	0.0678867
"Karachi Stock Exchange"	0.067878
"J&AMP;J"	0.0678252
"Royal Bank of Scotland"	0.0676814
"producer price"	0.0675132
"Dell Computer"	0.0674876
"Producer Price Index"	0.0673498
HSBC	0.0666591
"heating oil"	0.0665513
Honeywell	0.0663033
Alcoa	0.0657473
Nasdaq	0.0655509
Pacificare	0.0648929
"J.P. Morgan"	0.0648465
"vehicle sale"	0.0643037
Biogen	0.0642725
techs	0.0642414
"Hong Kong Telecom"	0.0639434
fourth-quarter	0.0637922
"Campbell Soup"	0.0635372
AHP	0.0633468
"five cents"	0.063324
"water table"	0.063234
"Union Carbide"	0.0630254
"Exxon Mobil"	0.0630033
"Chase Manhattan"	0.0629942
"retail price index"	0.0626581
VENATOR	0.0622983
"Treasury bond"	0.0622973
"Advanced Micro"	0.062283
"Kuwait Stock Exchange"	0.0619413
"Fletcher Forests"	0.0616493
"Donaldson, Lufkin &AMP; Jenrette"	0.0614267
Railtrack	0.061117
MidCap	0.0609201
"Development Bank of Singapore"	0.0609067
"mortgage rate"	0.0607863
Immunex	0.0603918
"Kenyan shilling"	0.0600732
"S&AMP;P"	0.0600363
"Philippine Stock Exchange"	0.0599122
"Singapore dollar"	0.0598963
ridership	0.0595529
"retail price"	0.059497
"price index"	0.0593537
Micron	0.059349
"South Korean won"	0.0591516
"American Express"	0.0589173
STOXX	0.0582688
Associates	0.0580289
fineness	0.0579759
"Dow Jones"	0.0577933
Colgate-Palmolive	0.0577396
"technology issue"	0.0574967
"body temperature"	0.0573962
"United Technologies"	0.0573129
rand	0.0569582
BSE-@@@	0.0568287
second-quarter	0.0567982
"Hewlett Packard"	0.0567535
"First Union"	0.0566549
"one cent"	0.0563322
greenback	0.0561594
Agilent	0.0549567
"personal income"	0.0546675
zloty	0.0544944
"B share"	0.054464
AMR	0.0542085
"Applied Materials"	0.054079
"Johnson &AMP; Johnson"	0.0540117
Schlumberger	0.0537206
))
("Commonwealth Bank of Australia" (desc 2389.95) (sims
"Commonwealth Bank"	0.491916
Westpac	0.481691
ANZ	0.412677
"National Australia Bank"	0.333968
"Rio Tinto"	0.311126
WMC	0.304616
NAB	0.304142
BHP	0.294195
"Industrial Index"	0.235618
"News Corp"	0.228843
"Wireless Optus"	0.228386
"Second Board Index"	0.22499
"Nikkei Stock Average"	0.215037
"Straits Times Index"	0.208
"Lion Nathan"	0.205575
"preferred shares"	0.192501
"Emas Index"	0.184148
"CAC @@"	0.180373
"Tokyo Stock Price Index"	0.174342
"Straits Times Industrials Index"	0.172087
CBA	0.167773
"Xetra Dax"	0.165626
Telstra	0.163709
"Fletcher Energy"	0.160481
sub-index	0.159951
"Philippine Stock Exchange Index"	0.159616
"Carter Holt Harvey"	0.155754
"Air New Zealand"	0.15369
"bond price"	0.153346
AMP	0.152535
"Fletcher Paper"	0.147615
CRA	0.147064
commonwealth	0.14698
"Weighted Price Index"	0.143334
SPH	0.141043
scrip	0.140055
"futures price"	0.139579
"Composite Index"	0.139182
STI	0.13892
"Brierley Investment"	0.13821
Woodside	0.132382
Nikkei	0.131893
"Fletcher Building"	0.130381
"Fletcher Forest"	0.126113
"SPH @@@"	0.12364
"Dow Jones Industrial Average"	0.123051
"Auckland Airport"	0.12259
PacCent	0.121745
"FTSE @@@"	0.119911
"Hang Seng"	0.119033
"GE Life"	0.117263
Bovespa	0.116817
CAC	0.115027
DAX	0.114091
"pork belly"	0.110042
"Creative @@"	0.108077
"Hang Seng Index"	0.10668
"Hang Seng China Enterprises Index"	0.104945
sharemarket	0.104445
industrials	0.100138
"Hang Seng China-Affiliated Corporations Index"	0.0995099
CAC-@@	0.099409
db	0.0992816
"ordinary shares"	0.0975065
"blue-chip stock"	0.0974192
FT-SE	0.0968438
"Sensitive Index"	0.0965845
HSI	0.0963032
Sensex	0.0946603
"NASDAQ Composite Index"	0.094444
"Philippine peso"	0.0914544
SIA	0.0909294
Telecom	0.090886
OCBC	0.0901002
"Brierley Investments"	0.0898259
"blue chip"	0.0893968
UOB	0.0887961
"Australian dollar"	0.0867422
"Shanghai Composite Index"	0.0865181
"Sky TV"	0.0858718
"HSBC Holdings"	0.0848046
"eight cents"	0.0843069
Composite	0.0836183
"F&AMP;N"	0.082505
"Singapore Press Holdings"	0.0824207
"Contact Energy"	0.0809933
"Hang Seng Bank"	0.0803805
Grosjean	0.0801827
sub-indices	0.0798853
"Stock Exchange of Thailand"	0.0797766
"bank rate"	0.0789858
"Singapore dollar"	0.0786818
"News Corp."	0.0769875
bramble	0.0745404
fineness	0.0744331
"technology issue"	0.0743764
"Bovespa Index"	0.0741784
w@@	0.0740605
rand	0.073945
FTSE	0.073573
"market average"	0.0726182
"funds rate"	0.0725929
"Kenyan shilling"	0.0722758
"New Zealand dollar"	0.0720486
Stocks	0.0715968
"City Development"	0.071448
"Fletcher Forests"	0.0709422
bullion	0.0708304
"truck sale"	0.0707543
Dresdner	0.0704587
"Hutchison Whampoa"	0.0702584
"mortgage rate"	0.0698142
Dow	0.0691423
"Royal Bank of Scotland"	0.0686981
"JDS Uniphase"	0.0682321
palladium	0.067934
"Karachi Stock Exchange"	0.067457
Pacificare	0.0672558
"Philippine Stock Exchange"	0.0671926
RAMBUS	0.0670912
Qualcomm	0.0668239
"Canadian dollar"	0.0667892
Nikko	0.0667092
"Dell Computer"	0.0664918
"water table"	0.065953
Barclays	0.0657638
SunTrust	0.0648491
"retail price index"	0.0643201
UAL	0.064278
Unisys	0.0641077
"South Korean won"	0.0640962
"Treasury bond"	0.0637643
"Dow Jones"	0.063636
"Applied Materials"	0.0636212
"Eli Lilly"	0.0635828
"Chase Manhattan"	0.063274
"poverty rate"	0.0630677
"Hong Kong Telecom"	0.0620863
blue-chips	0.0620488
Nasdaq	0.061492
STOXX	0.0612139
"vehicle sale"	0.0610542
barometer	0.0610524
IPC	0.0604879
CMG	0.0597964
"price index"	0.0597775
"factory order"	0.0594607
"occupancy rate"	0.0594213
techs	0.0591616
"gas price"	0.0591106
"pound sterling"	0.0590261
rupiah	0.0588644
sucre	0.0586871
Immunex	0.0584212
warrant@@	0.0580371
"Advanced Micro"	0.0579915
"Exxon Mobil"	0.057973
"rate of inflation"	0.0578748
"home sale"	0.0574276
"British pound"	0.0571075
indices	0.0560004
leu	0.0559355
"Kuwait Stock Exchange"	0.0555173
"net income"	0.0552466
Colgate-Palmolive	0.0552457
"Procter &AMP; Gamble"	0.0552106
"building society"	0.0551113
Orders	0.055
soybean	0.0549576
"Citigroup Inc."	0.0547904
"Producer Price Index"	0.0545683
Nicol	0.0535843
"Hewlett Packard"	0.0530735
"one cent"	0.0530063
"vacancy rate"	0.052805
kingfisher	0.0524728
"B share"	0.0524203
CPI	0.052219
"Vodafone AirTouch"	0.0520088
rupee	0.0518497
bungee	0.0514815
CGI	0.0514722
caseloads	0.0514504
Biogen	0.0513948
shilling	0.0513938
TELLABS	0.0512166
Niagara	0.0512063
DKB	0.0510811
McMellon	0.0510368
"Johnson &AMP; Johnson"	0.0508495
won	0.0508231
"bond market"	0.0506815
"Bank of Scotland"	0.0506036
"crime rate"	0.0505768
MidCap	0.0505527
"labor cost"	0.0501872
ABSA	0.0501309
Springbok	0.0499358
PLDT	0.0498887
"Union Carbide"	0.0496033
))
("Commonwealth Games" (desc 16017.5) (sims
"Asian Games"	0.284214
"World University Games"	0.247721
"Sydney Olympic Games"	0.242165
"Atlanta Olympic Games"	0.227629
"Olympic Games"	0.220923
"Goodwill Games"	0.22052
"Sydney Olympics"	0.219114
"European Championships"	0.217202
"Pan American Games"	0.216879
"Southeast Asian Games"	0.212151
Asiad	0.207907
"Atlanta Olympics"	0.203168
"Summer Olympics"	0.20276
"Olympic Winter Games"	0.198396
"World Athletics Championships"	0.197595
"Eighth National Games"	0.187907
"Winter Olympics"	0.184782
"Sydney Games"	0.183671
Universiade	0.179888
Olympics	0.179541
"SEA Games"	0.176143
"Summer Games"	0.175871
"World Championships"	0.172446
"Atlanta Games"	0.168556
"East Asian Games"	0.168347
"National Games"	0.166735
"Pan Am Games"	0.16505
"Barcelona Games"	0.162353
"Bangkok Asian Games"	0.160197
"Summer Olympic Games"	0.15998
"Barcelona Olympics"	0.155502
"European Championship"	0.155489
"World Cup"	0.146816
"Winter Games"	0.145754
"World Swimming Championships"	0.144567
championship	0.143017
"Centennial Olympic Games"	0.142413
"Nagano Winter Olympics"	0.142076
"Thomas Cup"	0.137315
"Australian Open"	0.135132
"European Swimming Championships"	0.134786
"Winter Olympic Games"	0.13258
"Seoul Olympics"	0.131036
"French Open"	0.12687
"Pan Pacific"	0.125045
Paralympics	0.120753
"World Figure Skating Championships"	0.120731
"European Cup"	0.120507
"World Junior Championships"	0.120329
"Asian Cup"	0.119696
"World Table Tennis Championships"	0.118934
"Pan Ams"	0.11802
tournament	0.117507
"Asian Winter Games"	0.116001
"U.S. Open"	0.110926
"African Nations Cup"	0.110768
"Lipton Championships"	0.110734
"cup final"	0.1105
"International AIDS Conference"	0.109253
"Euro @@@@"	0.107734
"ASEAN Ministerial Meeting"	0.104079
"Copa America"	0.103726
"Sydney Olympic"	0.103477
"U.S. Olympic"	0.102987
Sydney	0.102852
"three-day event"	0.102362
Wimbledon	0.101958
"London Marathon"	0.101537
tourney	0.101373
"Grand Prix"	0.101303
"Nagano Olympics"	0.100516
Eastbourne	0.0992785
"World Championship"	0.0971807
"World Youth Games"	0.0967986
"Fed Cup"	0.0964527
"Tour de France"	0.0958393
"Paris Open"	0.0946547
"Boston Marathon"	0.0945077
"Italian Open"	0.0943629
freestyle	0.0943324
"Atlanta Olympic"	0.0934746
"Wimbledon Tennis Championships"	0.0932688
triathlon	0.0927056
"Ryder Cup"	0.0925234
"World Basketball Championship"	0.0923532
"track and field"	0.0909049
"Canadian Open"	0.0900171
men's	0.0898568
"Kremlin Cup"	0.0897474
"Davis Cup"	0.0892747
"World Cups"	0.0892507
"German Open"	0.0890374
"New York City Marathon"	0.088659
"Federation Cup"	0.0886564
"Indian Wells"	0.088641
decathlon	0.0876455
marathon	0.085938
"Southeast Asian"	0.0845482
breaststroke	0.0843597
"Millrose Games"	0.0843455
"US Open"	0.0834479
athletics	0.0813646
Nagano	0.0811465
backstroke	0.0807059
"British Open"	0.0806401
"summit meeting"	0.0803081
"Grand Slam Cup"	0.0802473
"Louis Vuitton Cup"	0.0802235
"Chinese Olympic"	0.0794576
slalom	0.0790495
"All-Star Game"	0.0788695
regatta	0.0788388
"Stockholm Open"	0.0786747
relay	0.0785064
"College World Series"	0.0782252
"Democratic National Convention"	0.0781563
inaugural	0.0773706
medley	0.0773644
"Gold Cup"	0.077357
Olympiad	0.0771906
"Japan Open"	0.076961
"Chinese Basketball League"	0.0766901
"Uber Cup"	0.0761779
Seville	0.0760801
volleyball	0.0760418
"Swiss Open"	0.0760367
"field hockey"	0.0758822
Halle	0.0758629
"Olympic Trials"	0.0758396
Kitzbuehel	0.0756098
"FA Cup"	0.0756097
"UEFA Cup"	0.0750649
conference	0.0749754
Gymnastics	0.0738375
Edgbaston	0.0733183
"World Cycling Championships"	0.0730886
"PGA Championship"	0.0730526
"Indy @@@"	0.0729978
"figure skating"	0.0729803
"track meet"	0.0729229
"Sudirman Cup"	0.0727667
"World Weightlifting Championships"	0.0726544
Hakuba	0.0725075
"Hopman Cup"	0.0723591
festival	0.0723134
Olympic	0.0720628
Barcelona	0.0720168
"Roland Garros"	0.071972
"Ministerial Conference"	0.0718864
"Confederations Cup"	0.071488
"Asian Championships"	0.0713224
"Nations Cup"	0.0712437
cup	0.0711793
dressage	0.0711033
AMM	0.0709969
"International Symposium"	0.0707623
Maurier	0.0706662
"Chase Championships"	0.0704889
Perth	0.0704344
"World Team Cup"	0.0702887
"Millennium Summit"	0.0702561
"Republican National Convention"	0.0699405
Super-G	0.0695535
weightlifting	0.0694891
"Melbourne Park"	0.0691545
"X Games"	0.069094
summit	0.0690723
"shot put"	0.068916
Bormio	0.0689122
qualifier	0.0688506
"World Petroleum Congress"	0.0687645
Heptathlon	0.0686972
"general election"	0.0686377
"Asia-Pacific Economic Cooperation"	0.0682081
"Maurier Open"	0.0682042
Masters	0.068146
Exposition	0.0681044
"Libertadores Cup"	0.0679556
Sestriere	0.0677969
judo	0.0675407
"F.A Cup"	0.0672815
APEC	0.0671295
skeet	0.0669527
"International Conference"	0.0669422
"Skate America"	0.0669322
"European Champions League"	0.0668472
biennial	0.0663982
"Fortune Global Forum"	0.0661732
"Little League World Series"	0.0661263
"Champions Cup"	0.06603
"high jump"	0.0658645
"Cannes Film Festival"	0.0658355
Lillehammer	0.0656375
badminton	0.0655563
IGC	0.0655515
"Consultative Group"	0.0655332
NCAA	0.0654287
epee	0.0653563
"long jump"	0.0652953
Exhibition	0.065166
))
("Commonwealth Ministerial Action Group" (desc 937.113) (sims
CMAG	0.217033
"Arab Parliamentary Union"	0.164943
taskforce	0.155915
"Consultative Group"	0.152653
"Joint Military Commission"	0.149529
"Jerusalem Committee"	0.148881
"House International Relations Committee"	0.144424
"Congressional Black Caucus"	0.143714
"South Pacific Forum"	0.142915
"Congress Working Committee"	0.141419
"Central Council"	0.139325
"Organization of Islamic Conference"	0.139244
"House Budget Committee"	0.132401
"Russian Security Council"	0.131738
JMC	0.131582
"Senate Governmental Affairs Committee"	0.130613
"Senate Appropriations Committee"	0.126279
"House Government Reform Committee"	0.125012
"PLO Executive Committee"	0.124695
"Senate Armed Services Committee"	0.124415
"Israeli Cabinet"	0.123173
"Joint Commission"	0.119921
"Supreme Council"	0.118122
"Human Rights Commission"	0.117719
"interim committee"	0.11752
"Joint Liaison Group"	0.116047
"Rules Committee"	0.1156
"Foreign Relations Committee"	0.114369
"American Psychological Association"	0.111966
"Provisional Ruling Council"	0.111495
"General Council"	0.111362
NSC	0.10803
"Federal Council"	0.107826
"Democratic Leadership Council"	0.10775
"Palestinian Council"	0.107195
"Central Organ"	0.107087
"Banking Committee"	0.106676
"General Committee"	0.105971
IGC	0.10544
"United Nations Conference"	0.105365
"Palestine National Council"	0.105328
"North Atlantic Council"	0.105223
"Inter-Governmental Authority on Development"	0.104957
"United States Congress"	0.104751
"Damascus Declaration"	0.104354
"Palestinian Legislative Council"	0.104256
"steering committee"	0.102978
"National Economic Council"	0.102407
"American Psychiatric Association"	0.10199
"Parliamentary Assembly"	0.101661
AMM	0.101046
"Alcoholics Anonymous"	0.0998339
"Non-Aligned Movement"	0.0996461
"Badminton Association of Indonesia"	0.0995383
"Executive Board"	0.0992088
"Economic Cooperation Organization"	0.0988699
"Business Council"	0.0976422
"U.N. Conference"	0.0975207
"Foreign Affairs Committee"	0.097288
"International Society"	0.0969972
JLG	0.0963371
"military commission"	0.0956005
PNC	0.095511
CEC	0.094947
"finance committee"	0.0944035
"Ways and Means Committee"	0.0939437
"National Council"	0.0938478
"Nevada State Athletic Commission"	0.0936728
"Arab League"	0.0932646
"Supreme Soviet"	0.0929186
"EU Commission"	0.0926408
"Senate Finance Committee"	0.0923947
"Senate Foreign Relations Committee"	0.0922649
"Free Democratic Party"	0.0920572
"Board of Governors"	0.0918403
"World Petroleum Congress"	0.0916973
"Federal Open Market Committee"	0.0915473
"House Appropriations Committee"	0.0912796
"International AIDS Conference"	0.0908346
"Secretary General Boutros Boutros-Ghali"	0.0900942
"search committee"	0.0895364
"ASEAN Ministerial Meeting"	0.0894994
"Organization for Economic Cooperation and Development"	0.0892402
"Council of State"	0.0889094
"work group"	0.0884265
ARF	0.0882253
"Boutros Boutros Ghali"	0.0881073
"Great Hural"	0.0881002
G-@@	0.0877708
"Executive Committee"	0.0877531
AmCham	0.0875657
"European Council"	0.0874681
"House Banking Committee"	0.0872812
Komura	0.0872077
"Palestinian National Council"	0.0867554
"Senate Banking Committee"	0.0865979
OCA	0.0863646
CWC	0.0859862
"Senate Budget Committee"	0.0858343
"Revolutionary Command Council"	0.0855296
"House Commerce Committee"	0.0854607
"Monetary Policy Committee"	0.0854427
"Abidine Ben Ali"	0.085153
"advisory board"	0.0850922
"ethics committee"	0.0850777
"governing board"	0.0849894
"Russian Duma"	0.0846077
"Senate Commerce Committee"	0.0843602
"Palestinian Central Council"	0.0842525
"Sino-British Joint Liaison Group"	0.0836107
"U.N. Human Rights Commission"	0.0835049
"Economic Community of West African States"	0.0833718
"National Gambling Impact Study Commission"	0.0832528
Sahnoun	0.0829889
"Secretary General Esmat Abdul-Meguid"	0.0829083
"National Executive Committee"	0.0825079
OSCE	0.0821008
"English Football Association"	0.0814269
"Commission on Human Rights"	0.0812084
"executive council"	0.0808517
"United Nations Security Council"	0.0807649
"Mahmoud Zouebi"	0.0803804
SFC	0.0803676
"UN Security Council"	0.0802313
"Council of Ministers"	0.0800332
"World Bank Group"	0.079599
"Provisional Urban Council"	0.0795089
PCC	0.0792886
belligerents	0.0787963
"Organization for Security and Cooperation in Europe"	0.0787121
DLC	0.0787054
"Vietnam Airlines"	0.0786437
"British government"	0.0784448
"Secretary-General Boutros Boutros-Ghali"	0.078195
"Senate Judiciary Committee"	0.0781647
"planning board"	0.0780809
"World Economic Forum"	0.0778261
"De Soto"	0.0777211
"House Ways and Means Committee"	0.0776403
"Truth Commission"	0.0776102
"Congress (NPC) Standing Committee"	0.077465
"conference committee"	0.0774522
"Commission on Presidential Debates"	0.077354
"World Health Assembly"	0.0773449
"National Association"	0.077331
"Organization of American States"	0.0771114
Meguid	0.0768551
"ASEAN Regional Forum"	0.0766136
ICC	0.0765269
"Fifth Session"	0.0764825
"Commerce Committee"	0.0764082
"Economic Community"	0.0760095
"Russian State Duma"	0.0759701
"Board of Supervisors"	0.0759654
"Olympic Council of Asia"	0.0756852
"U.N. Interim Force in Lebanon"	0.0756824
OIC	0.0756137
"Eighth National Committee"	0.075438
Niyazov	0.0754363
"Council of Economic Advisers"	0.0751335
"Appropriations Committee"	0.0749262
"Prime Minister Banharn Silpa-Archa"	0.0744035
Ruehe	0.0743979
UNCTAD	0.0739635
G-@	0.0739559
"Group of @@"	0.0739049
"working group"	0.0736018
"Asia Pacific Economic Cooperation"	0.0735467
Abdel-Meguid	0.0734476
sub-commission	0.0733987
"United Nations Conference on Trade and Development"	0.0733986
"Securities Industry Association"	0.0732742
"Confederations Cup"	0.0732571
"Paris Club"	0.073095
"Turkish Embassy"	0.0727813
"Abdul Salam Majali"	0.0725574
"Contact Group"	0.0724543
"International Civil Aviation Organization"	0.0720474
"National Commission"	0.0720085
"Federation Council"	0.0719648
"American Bar Association"	0.0718374
"Third Session"	0.0717631
"control board"	0.0714031
"Nevada Athletic Commission"	0.0713764
"Group of Rio"	0.0713028
Velayati	0.0711108
ASEM	0.0709894
"history department"	0.0709567
"Valery Pustovoitenko"	0.070953
"South African Communist Party"	0.0708718
"Organisation of African Unity"	0.0706032
WEU	0.070561
"board of regents"	0.0705493
"Fortune Global Forum"	0.0705359
"Democratic Congressional Campaign Committee"	0.0700142
"National Republican Congressional Committee"	0.0699707
"Chuan Leekpai"	0.0699631
"Economic and Social Council"	0.0698683
Hauser	0.0697217
"World Congress"	0.0690739
))
("Commonwealth of Independent States" (desc 11469.3) (sims
Ci	0.271848
"Association of Southeast Asian Nations"	0.155503
"Southern African Development Community"	0.152199
"Rio Group"	0.146828
"Gulf Cooperation Council"	0.146177
"West Asia"	0.141402
"East Europe"	0.138428
"Central Asia"	0.133846
"Group of Rio"	0.131278
"Caribbean Community"	0.127007
"Western European Union"	0.121885
"Southeast Asia"	0.12087
ASEAN	0.116179
"Latin America"	0.115148
"East Asia"	0.115032
"European Union"	0.114725
"Group of @@"	0.114336
"Southern Common Market"	0.113913
"South Asian Association for Regional Cooperation"	0.113793
COMESA	0.111672
"Council of Europe"	0.111513
"Economic Community"	0.110641
SADC	0.110092
"Andean Community"	0.109104
Mercosur	0.108902
SAARC	0.108061
GCC	0.107144
"Economic Community of West African States"	0.106853
"Organization of Petroleum Exporting Countries"	0.106761
"North Atlantic Treaty Organization"	0.10648
"Economic Cooperation Organization"	0.106423
"Eastern Europe"	0.10596
"South America"	0.105167
"South Asia"	0.103546
Oceania	0.10319
"Asian country"	0.102517
"Organization for Economic Cooperation and Development"	0.102197
"Pacific Rim"	0.10184
"Western Europe"	0.10039
"Southern Africa Development Community"	0.100253
"European country"	0.0993152
"Inter-Governmental Authority on Development"	0.0982493
"Asian nation"	0.0976527
OECD	0.0972061
"Middle East"	0.0961413
"Common Market for Eastern and Southern Africa"	0.09594
"Great Lakes Region"	0.0957776
"Group of Eight"	0.0946027
"Organization of Islamic Conference"	0.0939251
bloc	0.0937421
"South American Common Market"	0.0935373
Asia-Pacific	0.0933244
"Far East"	0.092314
"Group of Seven"	0.0921603
"Non-Aligned Movement"	0.0919596
Africa	0.0907504
EU	0.0905738
"Balkan country"	0.0900168
"Republic of Korea"	0.0887835
"North Africa"	0.0877733
G-@	0.0871982
"member nation"	0.0870154
G-@@	0.0865237
"South Pacific Forum"	0.0861113
"Common Market"	0.0857743
central	0.084082
"East African Cooperation"	0.0838243
"West Africa"	0.0831521
grouping	0.0829896
Caucasus	0.0829255
"European Community"	0.0828452
"Latin American"	0.0824279
Asia	0.0821535
"African country"	0.0820224
"Warsaw Pact"	0.0818044
"Asia-Pacific Economic Cooperation"	0.0818022
OSCE	0.0816506
eco	0.0813918
"Arab League"	0.0811226
"Contact Group"	0.0802891
ECOWAS	0.0795246
"European nation"	0.0794496
"member country"	0.0793769
Tajikistan	0.0792746
"Soviet Union"	0.078993
"National Democratic Alliance"	0.078959
"Central Asian"	0.0789346
"North America"	0.0782499
commonwealth	0.0781963
OIC	0.0773764
APEC	0.0772941
"Organization of American States"	0.0756043
Baltics	0.0746452
"Yugoslav Federation"	0.0745239
WEU	0.0744241
"Iraqi National Congress"	0.0738065
"Central America"	0.0732076
"Central American country"	0.0728445
sub-region	0.0724352
"Russian Security Council"	0.0715416
"Asia Pacific"	0.0712564
"Central Europe"	0.0704476
"United Kingdom"	0.0704025
Scandinavia	0.0701962
"Organization for Security and Cooperation in Europe"	0.0699251
Kyrgyzstan	0.0694401
ROK	0.0691318
"Southern Africa"	0.069043
"African Economic Community"	0.0688843
"African nation"	0.0684766
Azerbaijan	0.0684566
"Asia Pacific Economic Cooperation"	0.0681856
"Near East"	0.0680867
Republic	0.0679279
OAU	0.0672496
Moldova	0.0671248
"Unites States"	0.0670829
Baltic	0.0665184
EAC	0.0659028
"Persian Gulf"	0.0656325
Asian	0.0653023
"Russian Federation"	0.0650397
"international organization"	0.0649811
Yabloko	0.0644385
"Damascus Declaration"	0.0642726
"Organisation of African Unity"	0.0638144
Belarus	0.0637525
Balkans	0.0634273
Uzbekistan	0.062882
"Islamic Conference"	0.0628519
ASEM	0.0626114
ESCAP	0.0625923
"Caspian Sea"	0.0618982
Caribbean	0.0617979
Algeria	0.0617135
Indochina	0.0616538
OPEC	0.0610611
continent	0.0609942
"Russian Communist Party"	0.0607054
Turkmenistan	0.0603908
Kazakhstan	0.0603867
Mideast	0.0601746
Mongolia	0.0601332
"Andean Group"	0.05996
Kaliningrad	0.0599355
"World Church"	0.0598441
Cyprus	0.0598287
Bulgaria	0.0598199
IGAD	0.0598183
"Canadian Alliance"	0.0594872
Estonia	0.0593995
"Federal Republic"	0.058721
"South Pacific"	0.0584214
hemisphere	0.0581383
"Democratic People's Republic of Korea"	0.05811
subcontinent	0.0580698
Bangladesh	0.0580004
Angola	0.05797
"customs union"	0.0571353
"South American country"	0.0571137
NDA	0.0571092
Poland	0.0569661
Yemen	0.0568958
"Saudi Arabia"	0.0568485
D-@	0.0565819
Ukraine	0.0563128
UPU	0.056188
"South East Asia"	0.0559844
"ASEAN Regional Forum"	0.0559254
"Third World"	0.0556479
Armenia	0.0556468
E.U	0.0556164
G@@	0.0554877
"Asia-Pacific Region"	0.0554761
NAM	0.0552175
Kyrgyz	0.0549206
Eurasia	0.054413
Americas	0.0543707
Ingushetia	0.0541202
Brunei	0.0538522
Madagascar	0.0538035
Mediterranean	0.0535681
"Organization of African Unity"	0.0535534
"Cape Verde"	0.0532994
"world economy"	0.0530077
"World Trade Organization"	0.0530026
Oman	0.0528679
Niger	0.0527437
"Balkan nation"	0.0525943
subregion	0.0520587
Euroland	0.0519926
Abkhazia	0.051926
UNESCO	0.0518863
U.S	0.0518097
"UN Security Council"	0.0515917
Chechnya	0.0515375
Kirghizstan	0.0512332
Hungary	0.0512323
Zambia	0.0511043
"Central Organ"	0.0507954
))
(commotion (desc 5694.95) (sims
fuss	0.114496
ruckus	0.113171
hoopla	0.109906
tumult	0.104258
hubbub	0.103364
pandemonium	0.0981412
furor	0.0979783
"hue and cry"	0.0926878
brouhaha	0.0880296
frenzy	0.0838969
buzz	0.0829576
uproar	0.082637
mayhem	0.082395
noise	0.0799362
firestorm	0.0777861
bustle	0.0773349
ferment	0.0772504
disturbance	0.0768309
finger-pointing	0.0763275
rumblings	0.0754344
"guessing game"	0.0754012
excitement	0.0752954
outcry	0.074611
hand-wringing	0.072478
fracas	0.0723924
unrest	0.0721153
negativity	0.072053
craziness	0.0710891
chaos	0.0709176
"loud noise"	0.0706476
clamor	0.0706226
Bedlam	0.0696325
acrimony	0.0693466
vibration	0.0692375
hysteria	0.0675424
laughter	0.0672109
confusion	0.0670388
carnage	0.0668892
tempest	0.0666692
hiccup	0.0663934
clutter	0.0661542
turbulence	0.065434
dissension	0.0648917
euphoria	0.0646765
disharmony	0.0646367
shakeout	0.0638979
"sonic boom"	0.0632284
maelstrom	0.0632224
groundswell	0.0631818
friction	0.0626458
scuffle	0.0626147
blather	0.0621964
hassle	0.0621723
instability	0.0620036
hype	0.0619747
fanfare	0.0619311
"background noise"	0.0616292
upheaval	0.0615387
discord	0.061476
"foot traffic"	0.0613903
consternation	0.0613359
"identity crisis"	0.0609908
soul-searching	0.0606106
"free time"	0.0603804
bloodletting	0.060363
discomfort	0.0603251
anarchy	0.0598674
"elbow room"	0.0595275
catastrophe	0.0591382
misunderstanding	0.0588687
"oil slick"	0.0585417
"spare time"	0.0582378
posturing	0.0581554
happening	0.0577841
uptick	0.0571737
chatter	0.0570543
horseplay	0.0567953
inconvenience	0.0565834
panic	0.0564089
heartache	0.0562157
nervousness	0.0560797
fistfight	0.0560619
disruption	0.0559334
strife	0.0558461
disunity	0.0555807
skirmish	0.0555171
dropoff	0.0553981
"traffic jam"	0.0552485
murmur	0.0551465
firefight	0.0550186
disaffection	0.0549317
suspense	0.0548809
rancor	0.0544985
rowdiness	0.0544648
angst	0.0543864
"corruption scandal"	0.054203
thaw	0.0539585
"fatal accident"	0.0538669
"cash crunch"	0.053844
bubble	0.0531874
whirlwind	0.0531467
melee	0.0530128
volatility	0.0528924
anxiety	0.0527413
conflagration	0.0527053
static	0.0525937
calamity	0.0524582
uneasiness	0.0523231
altercation	0.0522554
haggling	0.0522137
stink	0.0521424
insecurity	0.0521088
"market correction"	0.0520656
trauma	0.0519817
distortion	0.0519404
distraction	0.0518792
mishap	0.0517946
squabble	0.0517642
stampede	0.0517255
rebellion	0.0517176
scrum	0.051329
"ill will"	0.0512266
"shock therapy"	0.0512034
famine	0.0511811
spurt	0.0511478
bloodbath	0.0509718
congestion	0.0508742
rioting	0.0508065
bottleneck	0.0506952
"alarm bell"	0.0505264
animosity	0.0505199
shouting	0.0503593
polarization	0.050313
Distress	0.0500563
anomaly	0.0499906
vitriol	0.0497047
hyperinflation	0.0496514
free-for-all	0.0496248
schism	0.0495406
bitterness	0.0495339
apprehension	0.0494954
"chain reaction"	0.0494184
"brush fire"	0.0493446
queue	0.0493122
bickering	0.0492301
odor	0.0491373
ugliness	0.0490695
crunch	0.0489848
Ripple	0.0489387
"bad blood"	0.0488854
flak	0.0485371
mischief	0.0484362
indignity	0.0483479
cross-fertilization	0.0482853
annoyance	0.048217
"close call"	0.0481072
"waiting game"	0.0480967
revolt	0.0478105
variability	0.047763
slowdown	0.0477046
Leeway	0.0476989
fiasco	0.0476871
"power failure"	0.0476542
slippage	0.0476187
"chemical reaction"	0.0475952
divisiveness	0.0475425
goings-on	0.0474982
gridlock	0.0473362
synergy	0.0473261
blip	0.0472514
"air bubble"	0.0472433
oomph	0.047215
dislocation	0.0471177
weeping	0.0470804
hardship	0.0468226
fluctuation	0.0468188
swelling	0.0468147
adversity	0.046803
hand-holding	0.0467808
trash-talking	0.0467706
bloodshed	0.0467633
jostling	0.0467192
vandalism	0.0466291
hush	0.0465953
indentation	0.0465774
spillage	0.046465
downtime	0.0463346
ribbing	0.0463304
condensation	0.0463203
tussle	0.0461717
blackout	0.0461654
"storm cloud"	0.0461406
shenanigan	0.0460927
Psychosis	0.0460791
aggravation	0.046014
agitation	0.0459255
resurgence	0.0458552
letdown	0.0458341
flap	0.0457551
falloff	0.0457476
))
(commune (desc 14168) (sims
township	0.096142
subdistrict	0.0953431
village	0.0882764
prefecture	0.0856851
county	0.0721198
municipality	0.0694891
"polling station"	0.0688943
"rural area"	0.065721
"small town"	0.0650649
"military post"	0.0632386
locality	0.063123
prefect	0.0629723
"mobile home"	0.0597347
Soweto	0.0585982
countryside	0.0585254
household	0.0577776
parish	0.0575087
encampment	0.056471
Hamlet	0.056284
"suburban area"	0.0556731
Chateau	0.0548468
kibbutz	0.053765
sub-branches	0.053288
winery	0.0532172
hinterland	0.052931
"primary school"	0.0527822
suburb	0.0516761
"secret society"	0.0515562
"urban area"	0.0509237
sect	0.0508903
"industrial enterprise"	0.0504587
constituency	0.0502718
tribe	0.0502268
sorority	0.0501108
"social group"	0.0500137
"armed service"	0.0499287
campsite	0.0498341
governorates	0.0493498
"polling booth"	0.0492533
Rwanda	0.0490531
Racak	0.0490139
precinct	0.0488848
"religious order"	0.0487272
colony	0.0484313
cantons	0.0481453
"polling place"	0.0481099
hideout	0.0479148
enclave	0.0475108
Monastery	0.047073
Convent	0.0470419
"medical institution"	0.0469965
EPZs	0.0465641
ghetto	0.0464149
cooperative	0.0460865
"boarding school"	0.0459782
orphanage	0.0459731
"middle school"	0.0457444
"trailer park"	0.0456237
quarterfinalists	0.0456189
clinic	0.0456054
slum	0.0455227
homestead	0.0455209
forest	0.0454978
"extended family"	0.0454635
outpost	0.0452332
"Balkan country"	0.0451682
denomination	0.0451413
"educational institution"	0.045117
"secondary school"	0.0450378
ward	0.0450377
resort	0.0449759
"sales outlet"	0.0449286
farmhouse	0.0446388
great-grandchildren	0.0445807
"federal district"	0.0444279
"oil refinery"	0.0443535
"collective farm"	0.0443437
"army base"	0.0442742
Vineyard	0.0441699
"employment agency"	0.044056
campground	0.0440461
congregation	0.0440039
Vukovar	0.0439136
"boarding house"	0.0438824
Ambon	0.04362
"military installation"	0.0436052
"congressional district"	0.0436031
"nursing home"	0.0435843
"private school"	0.0435742
"Muslim Brotherhood"	0.0435682
peasant	0.0435241
"disaster area"	0.0435225
depot	0.0431566
procuratorates	0.0430973
fraternity	0.0430855
centenarian	0.0429007
"work unit"	0.0428119
"publishing house"	0.0427992
laboratory	0.0426494
bureaus	0.0422865
"foster home"	0.0420475
"East African Community"	0.0419697
"District Council"	0.0419231
highland	0.0419197
cave	0.0418867
"West Timor"	0.0417922
"school district"	0.0417167
kilometer	0.0416859
militia	0.0415848
"power station"	0.041364
villager	0.0412686
Jaffna	0.0410935
"military unit"	0.0410793
"police station"	0.0410032
Gulu	0.0409425
inhabitant	0.0409017
plantation	0.040877
"work group"	0.0408683
ranch	0.0407258
synagogue	0.0406745
"United Democratic Movement"	0.0406606
"Central American country"	0.0406094
"national park"	0.0405978
"community college"	0.0405517
"military position"	0.0405403
brewery	0.0404848
diocese	0.0404414
"community center"	0.0402242
hut	0.0402
"Miami-Dade County"	0.0401575
regency	0.040157
"Sonoma County"	0.0401404
herdsmen	0.0401183
Sudanese	0.0400289
))
("communicable disease" (desc 3484.96) (sims
"contagious disease"	0.263081
"infectious disease"	0.254208
"sexually transmitted disease"	0.240952
"venereal disease"	0.202145
STDs	0.199453
"animal disease"	0.1859
malaria	0.179938
leprosy	0.173185
"respiratory disease"	0.165998
Dysentery	0.163639
Rabies	0.157278
rinderpest	0.154401
"dengue fever"	0.151666
tuberculosis	0.150937
"foot-and-mouth disease"	0.148176
HIV/AIDS	0.141604
Tb	0.137848
hepatitis	0.136444
Dengue	0.134811
"acquired immune deficiency syndrome"	0.132868
influenza	0.131806
syphilis	0.131656
cholera	0.130955
diarrhoea	0.129168
measles	0.125864
trachoma	0.123691
STD	0.121468
"HIV/ AIDS"	0.119848
"typhoid fever"	0.119774
"eye disease"	0.119085
"hepatitis B"	0.118503
malnutrition	0.117883
poliomyelitis	0.115656
"Human Immunodeficiency Virus"	0.115376
Meningitis	0.114813
"skin disease"	0.109773
typhoid	0.109733
HIV	0.109272
"AIDS virus"	0.109177
polio	0.109093
"water pollution"	0.107098
"yellow fever"	0.106472
infection	0.105407
IDD	0.102676
epidemic	0.102329
desertification	0.100611
diarrhea	0.0981698
pandemic	0.0979351
"cardiovascular disease"	0.0974196
ebola	0.0966215
pest	0.0957147
"food poisoning"	0.0955681
"drug abuse"	0.0936802
"mental disorder"	0.092845
parasite	0.092638
"plant disease"	0.0925446
encephalitis	0.0925317
smallpox	0.0919075
blindness	0.0917026
"tooth decay"	0.0907731
pathogen	0.0906639
"West Nile"	0.0904506
geriatrics	0.0902377
gonorrhea	0.0901335
pneumonia	0.0894941
jaundice	0.0893011
anemia	0.0879352
illness	0.0862456
BSE	0.0858484
oncology	0.0858026
canker	0.08524
illiteracy	0.0850933
"genetic disease"	0.0848657
sickness	0.0836825
disorder	0.083507
Hantavirus	0.0834171
starvation	0.0833521
"bubonic plague"	0.0832887
aids	0.0829683
endocrinology	0.0827498
"soil erosion"	0.0824764
"juvenile delinquency"	0.0824091
"drug addiction"	0.082401
narcotic	0.0819709
salmonella	0.0817693
transnationals	0.0812002
"water hyacinth"	0.080841
migraine	0.0800653
"mental illness"	0.079693
ailment	0.0795801
encephalopathy	0.0795261
obstetrics	0.0793558
"liver disease"	0.0793057
"forest fire"	0.0789693
epilepsy	0.0771809
retardation	0.0765113
malignancy	0.0761491
"acid rain"	0.0750902
malady	0.0747979
"Lyme disease"	0.0747436
fungi	0.0740711
glaucoma	0.0740461
"heart disease"	0.0737843
diabetes	0.0729352
dehydration	0.0720743
gastroenteritis	0.0719265
"rheumatoid arthritis"	0.0719176
"substance abuse"	0.0711344
CJD	0.0708355
"preventive medicine"	0.0706342
Immunology	0.0702525
leukemia	0.0701738
hypertension	0.0701472
"malignant tumor"	0.0701274
Osteoporosis	0.069534
"health problem"	0.0692122
deficiency	0.0691605
tetanus	0.0688785
cryptosporidium	0.0688634
degradation	0.0686813
"neurological disorder"	0.0684802
counterterrorism	0.0680171
diphtheria	0.0676772
bronchitis	0.067565
"lead poisoning"	0.0671698
mortality	0.0671411
asthma	0.0669995
"air pollution"	0.0669745
"bodily function"	0.0667862
hunger	0.0666281
emphysema	0.0665086
infestation	0.0663715
famine	0.0661471
"high blood pressure"	0.0656868
disability	0.0655956
subsidence	0.0649732
"Center for Science"	0.0645994
"skin cancer"	0.0644185
"crisis situation"	0.0644021
Alzheimer	0.0641206
epidemiology	0.0631794
homelessness	0.0631063
Obesity	0.0628749
locust	0.0626847
microorganism	0.0624297
"coca crop"	0.062347
flu	0.0621774
hygiene	0.0619459
"risk factor"	0.0616483
dementia	0.0615065
"health service"	0.0614151
nutrition	0.0611511
"multiple sclerosis"	0.060744
microbe	0.0605844
pox	0.0605027
anthrax	0.0603765
weed	0.0599454
carnivore	0.0597226
gynecology	0.0596746
sanitation	0.0596219
"dust storm"	0.0595709
vector	0.0595304
"body weight"	0.0593279
salinity	0.0591878
pollutant	0.0591849
syndrome	0.0591096
neurobiology	0.0584989
"hard drug"	0.0584477
telemedicine	0.0583536
recidivism	0.0582409
fever	0.0578819
bacteria	0.0577117
"common cold"	0.0576876
ophthalmology	0.0575852
destabilization	0.0574401
"organized crime"	0.0572264
"drug problem"	0.0571118
rollovers	0.0570419
hooliganism	0.0568646
"child abuse"	0.0567169
indigestion	0.0565134
radiology	0.0564569
"Kraft Foods"	0.0564512
deforestation	0.0563006
backsliding	0.0561328
"lung cancer"	0.0559146
"Russian Space Agency"	0.0558629
"public security"	0.0558324
underdevelopment	0.0558316
frostbite	0.0558028
"dog bite"	0.0554744
lupus	0.0554719
constipation	0.0554161
contagion	0.0554062
"vital organ"	0.0552625
forestry	0.0551195
"Mather Worldwide"	0.0550638
trauma	0.0548979
"heart condition"	0.0546092
"weapons system"	0.0545499
))
(communication (desc 114863) (sims
telecommunication	0.229537
transportation	0.174384
transport	0.160457
commerce	0.152389
"information technology"	0.14659
banking	0.145147
networking	0.144159
technology	0.143047
contact	0.140428
infrastructure	0.139672
engineering	0.139653
service	0.139183
education	0.138329
transmission	0.138098
agriculture	0.135132
marketing	0.133931
finance	0.131147
management	0.129067
tourism	0.128287
electronics	0.128252
navigation	0.127265
aviation	0.125321
information	0.123939
access	0.12318
manufacturing	0.121731
interaction	0.120638
distribution	0.120232
computing	0.118592
cooperation	0.118226
"communications service"	0.117017
processing	0.116193
"data communication"	0.116047
system	0.115566
research	0.115047
broadcasting	0.113587
energy	0.112508
software	0.112086
network	0.111396
equipment	0.111209
exchange	0.111198
"telephone service"	0.111111
e-commerce	0.111099
development	0.110662
business	0.109239
"health care"	0.109157
"high technology"	0.108913
"information service"	0.108269
relation	0.108096
Entertainment	0.107844
protection	0.107782
science	0.107549
irrigation	0.107531
health	0.107346
logistics	0.107307
planning	0.107019
coordination	0.10638
trade	0.106357
"water supply"	0.10619
mining	0.105732
conversation	0.104749
"information system"	0.104417
"customer service"	0.104368
electricity	0.103472
Computer	0.103422
Internet	0.102768
Advertising	0.102559
industry	0.102504
dialogue	0.101916
connection	0.101713
data	0.101164
relationship	0.10113
Housing	0.101017
shipping	0.100809
resource	0.100666
forestry	0.100525
training	0.100145
programming	0.0995228
security	0.0993529
biotechnology	0.0991217
"electric power"	0.0989199
"phone service"	0.098553
multimedia	0.0984121
construction	0.0983823
automation	0.0982572
metallurgy	0.0982105
shipbuilding	0.097036
environment	0.0962381
travel	0.0960003
telephone	0.0959
Telecom	0.0954036
"product development"	0.095388
wireless	0.0953397
application	0.0951624
traffic	0.0950419
"communications network"	0.094118
sanitation	0.0937562
telephony	0.0935938
medicine	0.093565
"computer network"	0.093469
operation	0.0934567
"communications technology"	0.0933787
link	0.0932864
pharmaceutical	0.0932089
supply	0.0931427
broadband	0.092955
affair	0.0923643
discussion	0.092324
imaging	0.0923174
facility	0.0922559
conservation	0.0922216
consultation	0.0920897
publishing	0.092048
integration	0.0918938
prevention	0.0918565
financing	0.0918102
retailing	0.0917494
"real estate"	0.0917441
"communication network"	0.0917238
machinery	0.091624
Microelectronics	0.0914725
insurance	0.0907721
aerospace	0.0905025
maintenance	0.0904903
"communication system"	0.0903305
meteorology	0.0899062
sector	0.089893
"chemical industry"	0.0898409
exploration	0.0897514
fishery	0.0889795
storage	0.088909
"health service"	0.0886682
petrochemical	0.0880718
capability	0.0880512
program	0.0879545
production	0.0878791
accounting	0.0878551
employment	0.0877082
learning	0.0875496
cable	0.0875197
e-business	0.0872699
surveillance	0.0871172
intelligence	0.0868706
email	0.0866626
innovation	0.0862939
activity	0.0861943
conservancy	0.0860709
"social service"	0.0856572
product	0.0856536
"transportation system"	0.0853314
transaction	0.0850616
"public works"	0.0847144
"medical care"	0.0843361
audio	0.0843039
phone	0.0843039
healthcare	0.0841687
investment	0.0838857
bioengineering	0.0837174
economics	0.0836272
semiconductor	0.0834089
farming	0.083285
aeronautics	0.0831932
warehousing	0.0831811
Promotion	0.0830677
automobile	0.0830556
delivery	0.0830403
control	0.0829415
nutrition	0.082448
enforcement	0.0821606
design	0.0821112
hardware	0.0820615
"computer science"	0.0820415
material	0.0820344
governance	0.0819868
Chemistry	0.0819629
"higher education"	0.0819152
"public security"	0.0817345
collaboration	0.0816009
"mutual understanding"	0.0814941
refining	0.0814759
Telecoms	0.0813072
"life science"	0.0813007
culture	0.081217
petroleum	0.0811742
"business development"	0.0808833
"family planning"	0.0807488
"fiber optics"	0.0806208
railway	0.0805818
counseling	0.0800856
shopping	0.0800127
"flood control"	0.0798123
project	0.0796063
"computer technology"	0.0795254
device	0.0793581
partnership	0.0793505
"decision making"	0.0792898
"social welfare"	0.0792179
"quality control"	0.0791547
policy	0.0787733
"building material"	0.0785645
connectivity	0.078534
))
("communication network" (desc 3895.12) (sims
"communications network"	0.251948
"communication system"	0.187056
"telephone network"	0.174284
"communications service"	0.144018
"telecommunication system"	0.143379
"trunk line"	0.132905
"telephone system"	0.122289
telecommunication	0.121548
"transportation system"	0.117638
"power grid"	0.111546
"phone system"	0.110034
"railway system"	0.108137
infrastructure	0.103633
"distribution network"	0.10289
"information system"	0.100266
"surveillance system"	0.099192
"data link"	0.0990406
telephony	0.0983085
"data communication"	0.0975841
"communications technology"	0.0968615
connectivity	0.0968424
"telephone service"	0.0967442
"communications equipment"	0.0957629
"transmission line"	0.0932683
"data system"	0.0928498
"relay stations"	0.0908795
"credit system"	0.0908641
"control system"	0.0905979
"computer network"	0.0870093
"information superhighway"	0.0856512
"Market system"	0.0845871
"phone service"	0.0840947
"telephone line"	0.0827852
"distribution system"	0.0827281
"information service"	0.082056
"power system"	0.0799031
"production facility"	0.0791366
"trading system"	0.0786744
"highway system"	0.077731
linkage	0.0763527
trunks	0.0758747
"defense system"	0.0758699
networking	0.0754788
"public utility"	0.0750912
"security system"	0.0748759
GSM	0.0747399
"early warning system"	0.0744513
capability	0.0739735
"water plant"	0.073734
"water supply"	0.0734704
waterworks	0.0731007
handset	0.0727411
"electronics industry"	0.072664
"sewage system"	0.0722332
broadband	0.0721801
transmitter	0.0710212
"telephone exchange"	0.0708367
transmission	0.0708062
"particle accelerator"	0.0702525
"business unit"	0.0698763
"access road"	0.0697293
conservancy	0.0690494
railway	0.0686007
"health service"	0.068093
firewalls	0.0679623
"water system"	0.0677243
dissemination	0.0676033
wireless	0.0674945
"business relation"	0.0674055
superhighway	0.0670852
"drainage system"	0.0664093
"rail line"	0.0662878
"sewer line"	0.0661892
"accounting system"	0.0661778
"educational institution"	0.0657897
"Pudong International Airport"	0.0657861
"sewer system"	0.0655799
hookup	0.0655112
warehousing	0.0653531
"test equipment"	0.0651156
"wind power"	0.0650365
sensing	0.0649423
"economic system"	0.0649356
"weather station"	0.0648501
"software system"	0.0646575
ISDN	0.0645854
imaging	0.06456
"retail operation"	0.0642855
stadia	0.0642764
"postal service"	0.0642121
"vocational education"	0.0641277
"water project"	0.0640963
"monetary system"	0.0633683
node	0.063264
"Export Processing Zones"	0.0631062
"African Economic Community"	0.0625695
"industrial park"	0.0624982
"educational activity"	0.062201
"cable system"	0.0621244
"broadcasting company"	0.0620809
"power plant"	0.0620746
"co- operation"	0.0619652
"trading post"	0.0617229
"futures exchange"	0.0616734
"information technology"	0.0615063
backbone	0.0609316
"social service"	0.0608817
knowhow	0.0606007
"mass transit"	0.0605028
"elephant population"	0.0603697
intranets	0.0603624
irrigation	0.0601973
"military capability"	0.0601082
"phone line"	0.0600321
"production equipment"	0.0600317
"public works"	0.0599002
"computer technology"	0.0598946
optic	0.059776
"free zone"	0.0595307
hydropower	0.0594927
"power station"	0.0592768
refining	0.0590943
logistics	0.0590705
"power line"	0.0588857
"pricing system"	0.0587063
centre	0.0586949
"telephone set"	0.0583691
computing	0.0583623
"insurance business"	0.0582692
ICBM	0.0582054
grid	0.0581912
EPZs	0.0581723
interoperability	0.0580781
"blood bank"	0.0577221
"weapons system"	0.05755
"pumping station"	0.0575489
"African Union"	0.0575348
seawall	0.0574844
scanner	0.0573314
switchboard	0.0572514
"medical institution"	0.0570293
interchange	0.0569523
granary	0.0565117
storage	0.0564421
"legal system"	0.056301
interdependence	0.0561327
"development center"	0.0557956
databank	0.0557057
"animal husbandry"	0.0556102
"sphere of influence"	0.0556008
"weather satellite"	0.0555405
interconnection	0.0553667
consultancy	0.055189
industrialization	0.055188
"political relation"	0.055015
sewerage	0.0548687
crime-fighting	0.0547271
automation	0.0547012
"traffic control"	0.0545906
"automatic teller machine"	0.054534
"control center"	0.0542712
navigation	0.0540736
"garbage collection"	0.0537848
"railway line"	0.0537038
sewer	0.0535999
"civil service"	0.0534597
"flood control"	0.0532603
"insurance market"	0.0531581
"chemical industry"	0.0529538
afforestation	0.0528822
intranet	0.0527985
pagers	0.0521719
sensor	0.0521665
taskforce	0.0521327
"chain store"	0.0521174
"internal control"	0.0520392
identifier	0.0519165
"piece of furniture"	0.0518294
transformer	0.0518094
"monitoring program"	0.0516881
"X-ray machine"	0.0515244
"electric power"	0.0515038
router	0.0513508
substation	0.0512846
"meteorological satellite"	0.051165
"communications satellite"	0.0511285
"public toilet"	0.0510262
"production line"	0.051006
multimedia	0.0509539
peripheral	0.0509
linkup	0.0508939
"National Missile Defense"	0.0508072
CDMA	0.0507863
"education program"	0.0507846
"labor force"	0.0507466
broadcasting	0.0506254
transponder	0.050564
electrification	0.0505447
penetration	0.0505439
"electronic device"	0.0505066
))
("communication system" (desc 4667.92) (sims
"communication network"	0.187056
"telecommunication system"	0.15908
"telephone system"	0.157948
"communications equipment"	0.153467
"communications network"	0.14158
"communications technology"	0.133324
"telephone network"	0.130752
"phone system"	0.124732
"communications service"	0.123965
transmitter	0.114469
"control system"	0.113087
"data communication"	0.105715
"security system"	0.0978329
"propulsion system"	0.0962339
"automatic teller machine"	0.0950555
"early warning system"	0.0946165
"alarm system"	0.0939281
"transportation system"	0.0935541
"information system"	0.0935102
telecommunication	0.093445
"trunk line"	0.0933535
"telephone service"	0.093012
"X-ray machine"	0.091965
"computer network"	0.0917564
"weapons system"	0.090837
avionics	0.0900267
"transmission line"	0.0892134
switchboard	0.0890542
"power grid"	0.0890105
"phone service"	0.0886923
sensor	0.0883095
"relay stations"	0.0881906
"surveillance system"	0.0873395
"electronic equipment"	0.0873034
router	0.0839209
navigation	0.08187
"telephone set"	0.0813222
radar	0.0807252
waterworks	0.0800369
"weapon system"	0.0795749
handset	0.0794775
"telephone line"	0.0794385
"data link"	0.0791728
telephony	0.0787121
"ventilation system"	0.0780062
infrastructure	0.0768056
pagers	0.0764034
"telephone exchange"	0.0760354
"sewage system"	0.0760083
"drainage system"	0.0753145
"catalytic converter"	0.0751242
"power system"	0.0750729
transmission	0.0747268
"sprinkler system"	0.0745318
workstation	0.0738382
networking	0.0732156
endoscope	0.0727704
"cooling system"	0.071996
"data system"	0.0719642
"sewer line"	0.0716747
"software system"	0.0714188
scanner	0.071333
"computer language"	0.0711906
"traffic signal"	0.0710098
transponder	0.0707021
"radio transmitter"	0.0706061
microchip	0.0703673
"railway system"	0.0699251
gyroscope	0.0697946
"distribution system"	0.0696978
"internal control"	0.0696443
antenna	0.0696399
"information service"	0.0695001
"electrical system"	0.0694395
"memory chip"	0.069405
"distribution network"	0.0693846
beepers	0.0692185
supercomputers	0.0689395
"household appliance"	0.0687976
launcher	0.0683183
automation	0.0682664
intranets	0.0681367
"local area network"	0.0678473
"public utility"	0.0678387
"accounting system"	0.0677752
"cellular telephone"	0.0671825
"communications satellite"	0.0668561
"satellite receiver"	0.0667726
"production equipment"	0.066714
"blood bank"	0.0665873
algorithm	0.0665027
"electronic warfare"	0.0665008
"power plant"	0.0664497
"credit system"	0.0663281
"phone line"	0.0661748
modem	0.0660989
weaponry	0.0658484
dispensary	0.0656993
"traffic light"	0.0654799
"computer program"	0.0654776
"hand-held computer"	0.0652853
amplifier	0.0652258
"sound system"	0.0650036
"production facility"	0.0649613
"cable television"	0.0646632
"broadcasting company"	0.0645961
"electronic device"	0.0642827
"storage device"	0.0641557
"mainframe computer"	0.0641285
"traffic control"	0.0640048
transformer	0.0639351
"heating system"	0.0635067
thermostat	0.0632548
"fax machine"	0.0631648
"test equipment"	0.0630515
armament	0.0628197
generator	0.0624709
"optical fiber"	0.0623083
connectivity	0.0621186
"laser printer"	0.0621154
"rail line"	0.0620685
"water supply"	0.0620114
"artillery unit"	0.0617139
"cellular phone"	0.0617089
defibrillators	0.061524
intercom	0.0614845
microcomputer	0.0614428
"computer equipment"	0.06138
Telecoms	0.0612918
"computer hardware"	0.0611767
photocopier	0.0611504
"mass transit"	0.0610241
"global positioning system"	0.0608388
"defense system"	0.0608035
sensing	0.0607594
optic	0.0607329
"business processe"	0.060553
"spy satellite"	0.0603376
"weather station"	0.0601792
GSM	0.0598355
headset	0.0598329
"water line"	0.0598056
firewalls	0.0594924
"weather forecasting"	0.0592625
CDMA	0.058868
"support system"	0.058852
"water pipe"	0.0588444
air-conditioner	0.0587376
machinery	0.0586577
Projector	0.0586491
"public works"	0.0585407
sonar	0.058497
"rocket launcher"	0.0584117
knowhow	0.0583002
"landing craft"	0.0582196
"machine tool"	0.0581438
pager	0.0581159
"air filter"	0.0581107
simulator	0.0580755
"sewer system"	0.0580418
gadgetry	0.0578869
logistics	0.0578531
detector	0.0578111
circuitry	0.0577335
"scientific instrument"	0.0576932
"software product"	0.0576412
substation	0.0576212
"home appliance"	0.0575479
"access road"	0.057456
plumbing	0.0574498
railway	0.0572715
broadcasting	0.0571492
"air-to-air missile"	0.0571449
terminal	0.0570139
hookup	0.0569714
electronics	0.0569695
propulsion	0.0569381
"water system"	0.0568497
"septic tank"	0.0567465
culvert	0.056534
cellphones	0.0564608
antennae	0.0563002
"steam locomotive"	0.0562967
purifier	0.0560901
"vending machine"	0.0559734
"electronic mail"	0.0557628
steering	0.0556785
server	0.0556652
meteorology	0.0555405
"fire control"	0.0555166
"water plant"	0.0552458
"vital organ"	0.0552317
peripheral	0.0550519
interceptor	0.0550408
copier	0.0550292
instrumentation	0.0549423
appliance	0.054695
"point system"	0.0543629
"public transport"	0.0543234
"power station"	0.0541988
))
("communications equipment" (desc 7134.2) (sims
"electronic equipment"	0.208045
"machine tool"	0.206987
"home appliance"	0.197626
"consumer electronics"	0.195306
semiconductor	0.187929
"computer equipment"	0.176964
"household appliance"	0.172088
"integrated circuit"	0.159994
equipment	0.158505
"test equipment"	0.156836
"consumer goods"	0.156629
"computer hardware"	0.155694
"communications service"	0.154504
peripheral	0.15431
"communication system"	0.153467
appliance	0.149952
"aircraft part"	0.149317
machinery	0.14857
"office furniture"	0.145692
copier	0.142821
"durable goods"	0.139673
electronics	0.138243
"memory chip"	0.137825
"communications technology"	0.136919
Microelectronics	0.136886
"cellular telephone"	0.136489
"video equipment"	0.12995
"building material"	0.128416
"disk drive"	0.128377
"electronic device"	0.127841
hardware	0.127173
"aircraft engine"	0.126484
"spare part"	0.125224
pharmaceutical	0.124274
"scientific instrument"	0.123572
router	0.123353
networking	0.121638
telecommunication	0.121605
"data communication"	0.121447
"medical instrument"	0.12081
automobile	0.120808
avionics	0.120173
"communications network"	0.119703
"hand-held computer"	0.119285
apparel	0.118931
"circuit board"	0.118771
air-conditioner	0.117151
"cellular phone"	0.11668
auto	0.116299
petrochemical	0.115752
"weapons system"	0.114649
"motor vehicle"	0.113693
workstation	0.113682
pagers	0.112103
printer	0.111878
microchip	0.111479
"optical fiber"	0.109681
"specialty chemical"	0.109428
"telecommunication system"	0.109371
footwear	0.108946
"personal computer"	0.108895
"diesel engine"	0.1088
aerospace	0.108138
handset	0.107953
"building product"	0.107403
"security system"	0.105928
scanner	0.105873
"tv set"	0.105355
microprocessor	0.105298
conditioner	0.104595
photocopier	0.103988
"storage device"	0.102684
telephony	0.102283
component	0.102095
switchboard	0.102003
Telecoms	0.101657
gear	0.101238
"production equipment"	0.100482
"phone system"	0.100436
"consumer product"	0.0994964
materiel	0.0991221
"fax machine"	0.0985501
pager	0.0983938
software	0.0976712
gadget	0.0966489
device	0.096568
"wireless telephone"	0.0964849
optic	0.0963457
"greeting card"	0.0961163
"picture tube"	0.0959103
"food product"	0.0958735
"communication network"	0.0957629
"water heater"	0.0951537
shipbuilding	0.0950935
"control system"	0.0950611
"alarm system"	0.0945002
"jet engine"	0.0940587
turbine	0.0923387
newsprint	0.0918232
minicomputer	0.091461
weaponry	0.0913403
capacitor	0.0913298
lubricant	0.0911205
"golf equipment"	0.0908891
cookware	0.090717
housewares	0.0896354
foodstuff	0.0890438
cosmetic	0.088826
"telephone system"	0.0888243
modem	0.0883623
goods	0.0881253
"telephone set"	0.0875949
"fiber optics"	0.0875729
"color television"	0.087418
"information service"	0.0872276
watercraft	0.0870075
sensor	0.0869592
transmitter	0.0868769
chip	0.0868156
beepers	0.0864594
instrument	0.0863
ceramic	0.0862565
imaging	0.0857986
automation	0.0857856
generator	0.0857587
"gas turbine"	0.0852644
chemical	0.0851611
"laser printer"	0.0851263
textile	0.084983
"fighter aircraft"	0.0847557
motherboards	0.0845081
transformer	0.0843878
"telephone network"	0.0841875
"computer technology"	0.0841501
"snack food"	0.0839991
compressor	0.0836644
howitzer	0.0834187
"sewing machine"	0.0833575
"X-ray machine"	0.0827796
accessory	0.0826258
"mainframe computer"	0.0821582
aircraft	0.0819659
"high technology"	0.0818946
furniture	0.0818007
fertilizer	0.0815315
"television set"	0.0814553
"catalytic converter"	0.0812884
"information system"	0.0812625
"software product"	0.0809499
"raw material"	0.0801695
battery	0.0797887
"information technology"	0.0795432
VCD	0.0790901
"video game"	0.0789717
bioengineering	0.0788937
"communications satellite"	0.0788454
"computer program"	0.0787061
connector	0.0786882
Telecom	0.0786167
"portable computer"	0.078543
"passenger car"	0.0780689
biotechnology	0.0780365
"sports equipment"	0.0778589
garment	0.0777548
generics	0.077591
"power tool"	0.0771713
radar	0.0770863
server	0.0770351
"washing machine"	0.0769882
recorder	0.076933
know-how	0.0769176
petroleum	0.0767553
supercomputers	0.0766485
beverage	0.0766377
camcorders	0.0762967
sportswear	0.0761028
"Palm Pilots"	0.0760103
furnishings	0.0758217
steel	0.0757293
"software system"	0.0756852
jewelry	0.0754314
Clothing	0.074951
"power system"	0.0749482
Motorcycle	0.0748792
"CD player"	0.0748092
PC	0.0745376
plastic	0.0744078
"relay stations"	0.0742316
"alcoholic beverage"	0.0741931
"household product"	0.0740471
"fuel cell"	0.0740253
Projector	0.0739962
VCR	0.0739285
"weapon system"	0.0739051
airplane	0.0738409
"silicon chip"	0.0736103
flooring	0.0735002
"pet food"	0.0734257
munition	0.0727655
"computer network"	0.0726557
))
("communications network" (desc 8062.55) (sims
"communication network"	0.251948
"telephone network"	0.187711
"phone system"	0.150516
"telecommunication system"	0.145511
"communications technology"	0.144318
"communication system"	0.14158
"telephone system"	0.134879
"communications service"	0.132993
"trunk line"	0.122371
"computer network"	0.120735
"communications equipment"	0.119703
"surveillance system"	0.114833
"transportation system"	0.114146
"telephone service"	0.10842
"information system"	0.105573
"highway system"	0.102629
"power grid"	0.102545
"control system"	0.102489
"software system"	0.101359
"data communication"	0.101349
"distribution network"	0.10089
telecommunication	0.0994355
"trading system"	0.0986147
"data system"	0.0974687
switchboard	0.0961405
GSM	0.0949117
handset	0.0943217
communication	0.094118
"transmission line"	0.0926863
infrastructure	0.0925217
"distribution system"	0.0919599
"information superhighway"	0.0893286
"information service"	0.0890277
wireless	0.0880907
"early warning system"	0.0870993
telephony	0.0855282
"telephone exchange"	0.083591
"security system"	0.0835042
"data link"	0.0828204
"telephone line"	0.0822319
"phone service"	0.0822081
trunks	0.0814185
"cable system"	0.0810552
firewalls	0.0805197
"telephone set"	0.0792093
router	0.0783759
"railway system"	0.0783105
"phone line"	0.0782647
intranet	0.0772169
intranets	0.0769909
networking	0.0767738
"defense system"	0.0766731
"manufacturing business"	0.0763742
"production facility"	0.0756859
"local area network"	0.074646
hookup	0.0745337
Hotlines	0.0743965
"line of products"	0.0743833
"communications satellite"	0.0742873
"bus line"	0.0741577
"weapons system"	0.0737659
workstation	0.0736459
"relay stations"	0.0734006
"electronic device"	0.0724107
waterworks	0.0722068
"electronics industry"	0.071856
semiconductor	0.071615
"hand-held computer"	0.071605
cable	0.0715961
"computer technology"	0.0712017
"UNIX operating system"	0.0708073
"electronic database"	0.0704529
"retail operation"	0.0701406
scanner	0.070051
terminal	0.0696366
transmitter	0.0695787
server	0.0695786
"suspension bridge"	0.0694633
broadband	0.0691506
"power system"	0.0690143
transmission	0.0689535
"monetary system"	0.0685751
"public utility"	0.0679847
"laser printer"	0.0671926
"business unit"	0.0671282
"fiber optic cable"	0.0669428
"futures exchange"	0.0669124
"power plant"	0.0668761
"Market system"	0.0668493
"cable network"	0.0667667
"alarm system"	0.0666881
"delivery service"	0.066641
connectivity	0.0659359
electronics	0.065542
supercomputers	0.0653904
banking	0.0652376
database	0.0651294
"programming language"	0.0651174
circuitry	0.0650791
"automatic teller machine"	0.0649446
databank	0.0649052
"rail line"	0.0648191
avionics	0.0647973
Satellite	0.0646097
"optical fiber"	0.0645537
"integrated circuit"	0.0643688
"information technology"	0.0642092
connector	0.0640492
"accounting system"	0.0639174
pipeline	0.0639011
"computer program"	0.0638184
"scientific instrument"	0.0635393
"Erie Canal"	0.0633861
"control center"	0.0632774
microchip	0.0632595
"production line"	0.063209
"legal system"	0.0630865
pagers	0.0630838
"marketing program"	0.0629688
"blood bank"	0.0629237
"telephone company"	0.0628768
Portal	0.0628393
"power station"	0.0627355
modem	0.0626958
railway	0.0626206
provider	0.0623153
"computing system"	0.0621635
"hot line"	0.0621389
algorithm	0.0620299
radar	0.0620172
sensor	0.0618359
ECNs	0.0618063
capability	0.0617476
hardware	0.06146
Telecom	0.0612624
"production equipment"	0.0612473
"postal service"	0.061176
"personal computer"	0.0611534
"electronic equipment"	0.0611199
"X-ray machine"	0.0610571
"market maker"	0.0606851
"household appliance"	0.0604715
"weapon system"	0.0601053
clearinghouse	0.0600891
imaging	0.059842
superhighway	0.0597778
"phone company"	0.0597486
"storage device"	0.0597129
commerce	0.0597073
appliance	0.0596846
e-business	0.0594056
"Playstation II"	0.059296
"African Economic Community"	0.0592832
"computer equipment"	0.0592039
"voting system"	0.0591293
"pricing system"	0.0590997
"clearing house"	0.0589375
interceptor	0.058878
multimedia	0.0588239
endoscope	0.0587001
"endowment fund"	0.0586865
"ring road"	0.0584188
"software product"	0.0581678
"computer hardware"	0.058167
"retail chain"	0.0579844
navigation	0.0577263
long-distance	0.0577107
"Pudong International Airport"	0.0576362
smelter	0.0576316
manufacturing	0.057574
grid	0.0575193
photocopier	0.0575185
"power line"	0.0574414
"trading post"	0.0573904
peripheral	0.0572495
"broadcasting company"	0.0571128
transportation	0.0571094
"home appliance"	0.0570485
"cellular phone"	0.0570136
"Services division"	0.0569919
copier	0.0568705
"weather satellite"	0.0568613
knowhow	0.0568538
"fiber optics"	0.056731
marketplace	0.0567023
machinery	0.0566559
DSL	0.0566469
"business line"	0.0566267
expressway	0.0564378
"support system"	0.0563859
"mainframe computer"	0.0563421
"air defense"	0.0563246
hub	0.0560596
backbone	0.0560427
"sound system"	0.0559252
"industrial park"	0.055736
"cooling system"	0.0556535
"water supply"	0.0555924
mapping	0.0555886
"railway line"	0.0555689
))
("communications satellite" (desc 5272.61) (sims
Satellite	0.180796
"spy satellite"	0.169457
"meteorological satellite"	0.166699
"weather satellite"	0.148039
spacecraft	0.118728
"space vehicle"	0.118382
Zvezda	0.11587
"Mars Climate Orbiter"	0.111036
payload	0.106792
"space probe"	0.10491
"intercontinental ballistic missile"	0.102633
module	0.0972313
interceptor	0.095923
supercomputers	0.0933952
"optical fiber"	0.0923595
"booster rocket"	0.0920174
"ballistic missile"	0.0885946
observatory	0.0878038
"nuclear-powered submarine"	0.0866721
Sputnik	0.0848508
Zarya	0.0843616
telescope	0.0841
spaceship	0.0837068
missile	0.0814885
"bond issue"	0.0808317
NMD	0.0808283
SDH	0.0791947
gunship	0.0789385
"communications equipment"	0.0788454
"telephone network"	0.0787051
airship	0.0785754
"phone system"	0.0785436
hovercraft	0.0784841
F-@@s	0.0775982
"intelligence operation"	0.0774965
warplane	0.077043
radar	0.0764998
"mainframe computer"	0.0761211
shuttle	0.0747242
sensor	0.0745955
"fiber optic cable"	0.074425
"communications network"	0.0742873
intranet	0.0739089
howitzer	0.0731957
"wind power"	0.0727099
B-@s	0.0726521
"fighter aircraft"	0.07237
"weapons system"	0.0723274
"hand-held computer"	0.0714556
"shipbuilding industry"	0.0712272
"information service"	0.0711628
"communications technology"	0.0707812
transmitter	0.0702275
"software product"	0.0695773
A@XX	0.069308
ICBM	0.0692478
"jet plane"	0.0690031
GSM	0.0687776
"supply ship"	0.0687332
"guided missile"	0.0686257
Apaches	0.0683863
workstation	0.0682804
frigate	0.0680049
"nuclear warhead"	0.0679398
"bond offering"	0.0679131
"electronic equipment"	0.0678282
submarine	0.067557
semiconductor	0.0674873
"laser printer"	0.0673525
"communication system"	0.0668561
"space station"	0.0668072
"oil tanker"	0.0668012
Orbiter	0.0664997
"household appliance"	0.0662848
destroyer	0.0659152
X-@@	0.0657623
airplane	0.0656701
"Delta @"	0.0655778
shredders	0.0655749
"control system"	0.0654847
"software package"	0.0654251
"computer network"	0.0652295
"wireless telephone"	0.0650628
"cellular telephone"	0.0648855
"radio transmitter"	0.0648695
"fuel cell"	0.0648255
"storage device"	0.0646794
"cable system"	0.0645816
"electric car"	0.0636043
Atlantis	0.0635252
"aircraft part"	0.0635241
"early warning system"	0.0633584
warship	0.0628714
transponder	0.0624243
handset	0.0622128
"electric power"	0.062021
motherboards	0.0619515
spaceflight	0.0618166
"surveillance system"	0.0615002
hardware	0.0614643
electronics	0.0614393
"circuit board"	0.0613964
"surface-to-air missile"	0.0612917
"compromise plan"	0.0612377
ISDN	0.0611693
gyroscope	0.0611171
fighter-bombers	0.0608102
weaponry	0.0607085
rover	0.0606319
"patrol ship"	0.0606313
"disk drive"	0.0605821
"power grid"	0.0605733
"telephone system"	0.0604612
"fiber optics"	0.0603677
pharmaceutical	0.0602683
"fund-raising campaign"	0.0600569
"jet engine"	0.0600495
"business unit"	0.0599267
"automated teller machine"	0.059788
"scientific instrument"	0.0597795
Lander	0.0596464
"bus company"	0.0595975
"nuclear weapon"	0.0594928
"line of products"	0.0593518
multimedia	0.0592435
"nuclear reactor"	0.0592418
machineguns	0.059061
microprocessor	0.0588107
"diesel engine"	0.0587954
hydropower	0.0587487
"test equipment"	0.0587393
supercomputer	0.0586814
"aircraft carrier"	0.0586129
launcher	0.0586096
"rocket launcher"	0.0584599
"propulsion system"	0.0583841
"missile defense system"	0.0583675
S-@@@	0.0583424
"atom bomb"	0.0582708
A@@@-@@@	0.0582492
"cable television"	0.0582297
"investment fund"	0.0580398
"Go Network"	0.0579962
crematorium	0.05797
"power unit"	0.0579458
"computer hardware"	0.057783
emulator	0.0576478
TMD	0.0576325
reactor	0.0572672
"trading system"	0.0572432
"aircraft engine"	0.0572329
"machine tool"	0.0572285
MiGs	0.0571975
"cable car"	0.0570584
aerospace	0.0569657
"Playstation @"	0.0569481
armament	0.0567848
Chandra	0.0564589
"business enterprise"	0.0564287
GPS	0.0563433
"communications service"	0.0563145
"surface ship"	0.056286
"power plant"	0.0562617
wireless	0.0561213
microcomputer	0.0560986
A@@@	0.0559968
"public transport"	0.0556719
"electrical device"	0.0555931
"business line"	0.0555773
"cellular phone"	0.0555751
materiel	0.0555694
modem	0.0555599
"passenger train"	0.0554799
avionics	0.055401
Propulsid	0.0553026
cheque	0.0551997
Website	0.0551537
Mir	0.0551247
PRICETAG	0.0550858
e-business	0.0550632
iTV	0.055047
homepage	0.0549781
"Mars Polar Lander"	0.0549637
waterworks	0.05491
transformer	0.0548541
Robot	0.0547868
MiG-@@s	0.0547191
CDMA	0.0546382
torpedo	0.0545336
"electronic device"	0.0545271
premises	0.0544771
"electric motor"	0.0544006
sewerage	0.0543906
"naval forces"	0.0543778
icebreaker	0.0543693
"highway system"	0.0542178
"Airbus @@@"	0.0541785
defibrillators	0.0540281
"memory chip"	0.0539515
microchip	0.0539362
))
("communications service" (desc 4431.35) (sims
"data communication"	0.194254
"phone service"	0.192478
"telephone service"	0.190866
"communications technology"	0.172168
"information service"	0.159966
telephony	0.158614
"telecommunication system"	0.155189
"communications equipment"	0.154504
"telephone network"	0.144828
"communication network"	0.144018
"computer hardware"	0.136417
"communications network"	0.132993
"communication system"	0.123965
communication	0.117017
"phone system"	0.114872
"wireless telephone"	0.114059
"consumer electronics"	0.113884
wireless	0.112381
telecommunication	0.112307
"software product"	0.112296
"cable television"	0.111366
"computer equipment"	0.110888
connectivity	0.110332
"fiber optics"	0.107155
networking	0.106464
broadband	0.102454
handset	0.102207
long-distance	0.101339
"telephone system"	0.0996928
copier	0.0989667
"computing system"	0.0980826
hookup	0.0969809
router	0.0946259
"health service"	0.0927901
pagers	0.0909261
DSL	0.0908984
peripheral	0.0908915
"local call"	0.0906069
multimedia	0.0898713
"cellular phone"	0.089811
Telecom	0.0882558
"hand-held computer"	0.0878377
"food product"	0.086798
"household appliance"	0.0867437
warehousing	0.0859722
"calling card"	0.0856165
"data link"	0.085365
Telecoms	0.0851897
pharmaceutical	0.0841905
"electronic mail"	0.0840105
hardware	0.0833971
imaging	0.0831714
"electronic device"	0.0829917
modem	0.0819435
"home appliance"	0.0816272
PDA	0.0815041
"electric power"	0.0813912
semiconductor	0.0804909
"business unit"	0.0801916
"rescue equipment"	0.0797181
transmission	0.0788415
"mail order"	0.0788322
Gaming	0.0787403
"computer network"	0.078257
workstation	0.0768314
photocopier	0.0765842
"computer technology"	0.0763365
"delivery service"	0.0760835
ISDN	0.0759984
appliance	0.0758628
"machine tool"	0.0752411
"dental care"	0.0750809
electronics	0.074924
"electronic equipment"	0.0746026
"information technology"	0.0738766
"life insurance"	0.0734862
"long-distance call"	0.0734452
broadcasting	0.0732354
reinsurance	0.0731792
gadget	0.0721869
"laser printer"	0.0720196
"scientific instrument"	0.0717274
GSM	0.0714707
"consumer loan"	0.0714478
"tax incentive"	0.0712687
"consumer goods"	0.0710738
"social service"	0.0707309
knowhow	0.0705194
banking	0.0700588
"computer application"	0.0699543
navigation	0.0698625
computing	0.0698221
automation	0.0696518
avionics	0.0695686
"Services division"	0.0693018
pager	0.0686823
"weapons system"	0.0686369
"public utility"	0.0681555
"aircraft part"	0.0680916
"air-to-air missile"	0.0678008
"cellular telephone"	0.0671454
forwarding	0.067085
"word processing"	0.0665284
agro-technology	0.0662049
"security system"	0.0660481
"nursing care"	0.0659962
audio	0.0659737
"building material"	0.0658288
"personal computer"	0.0653106
"fax machine"	0.0653101
"water sport"	0.0649329
beepers	0.0648692
weaponry	0.0648034
"service contract"	0.0643963
"consumer credit"	0.0641722
consultancy	0.0641263
"optical fiber"	0.0640841
"money order"	0.0640812
"transportation system"	0.0640062
"safety feature"	0.0637295
"UNIX operating system"	0.0636432
"medical aid"	0.0635947
"office furniture"	0.0635673
"computer game"	0.0635144
"information system"	0.063392
"memory chip"	0.063351
bandwidth	0.0630047
e-business	0.0630041
"compact disk"	0.0628659
server	0.0626273
"Palm Pilots"	0.0625634
"electrical power"	0.0625104
"line of products"	0.0623626
switchboard	0.0620908
"marketing program"	0.0620652
"cassette recorder"	0.0620426
"application program"	0.0617872
"data system"	0.0617801
"medical instrument"	0.0615015
e-commerce	0.0613996
directory	0.061074
postage	0.0610676
"integrated circuit"	0.0608193
know-how	0.0606363
"greeting card"	0.0606239
"business line"	0.0605454
"Office @@@@"	0.0602794
microprocessor	0.0602554
logistics	0.0601661
publishing	0.059831
"fresh food"	0.059708
"telephone set"	0.059625
"phone line"	0.0596175
"customer service"	0.059291
healthcare	0.0592443
supercomputers	0.0589704
"fighter aircraft"	0.0588949
"surveillance system"	0.0588681
"prescription drug"	0.0588617
"building product"	0.0586404
retailing	0.0580299
widget	0.0579701
"real estate"	0.0577699
"test equipment"	0.0575505
Portal	0.0571062
"video game"	0.0568602
"water filter"	0.0566573
camcorders	0.0566493
"hearing aid"	0.0566385
switching	0.0566356
"high technology"	0.0566262
printer	0.0564873
"communications satellite"	0.0563145
"medical care"	0.0561732
linkup	0.0561426
browsing	0.0561396
catering	0.0560628
"cable system"	0.0560438
air-conditioner	0.0560165
"telephone line"	0.0559482
"central heating"	0.055823
"hospital care"	0.0557659
"tax break"	0.0557599
"degree program"	0.0556019
generics	0.0555963
Projector	0.0554323
subscription	0.0553822
gizmo	0.0552484
"desktop computer"	0.0552036
"product line"	0.0550136
"distribution network"	0.0549993
merchandise	0.0549639
"programming language"	0.0546706
"telephone company"	0.0545336
agro-techniques	0.0542523
"mainframe computer"	0.0541998
petrochemical	0.0540408
"postal service"	0.0539689
shipping	0.0538805
"media property"	0.0537955
))
("communications technology" (desc 3658.04) (sims
"communications service"	0.172168
"communications network"	0.144318
"communications equipment"	0.136919
"computer technology"	0.136661
"communication system"	0.133324
"data communication"	0.133264
"telecommunication system"	0.12759
networking	0.120155
telecommunication	0.116936
"fiber optics"	0.115602
biotechnology	0.11449
"life science"	0.114368
"information technology"	0.113446
bioengineering	0.111849
"biological science"	0.110475
agro-techniques	0.109588
"consumer electronics"	0.105168
telephony	0.10369
avionics	0.103416
"telephone network"	0.0990397
Microelectronics	0.0978533
semiconductor	0.0968805
"communication network"	0.0968615
multimedia	0.0963904
automation	0.0946208
"telephone system"	0.0945932
agro-technology	0.0935716
"software system"	0.0928664
optic	0.0928107
"atomic energy"	0.0924793
"electronic equipment"	0.0916159
"computer hardware"	0.0913799
computing	0.090943
"artificial intelligence"	0.090075
"computer language"	0.089833
"weapons system"	0.0897528
"high technology"	0.0887139
"computer industry"	0.088474
pharmaceutical	0.0877211
"household appliance"	0.0876914
"phone system"	0.0869941
electronics	0.0869731
"computer application"	0.0869314
intranets	0.0863056
"machine tool"	0.0861372
Telecom	0.0838774
weaponry	0.0833964
"information service"	0.0830786
hardware	0.0816922
robotics	0.0816499
"medical science"	0.081641
"cellular telephone"	0.0803433
"electronic device"	0.0799546
imaging	0.0796776
microchip	0.0783233
"weapon system"	0.0783231
"information system"	0.0780299
"genetic engineering"	0.0773802
"thermonuclear warhead"	0.0768596
"building material"	0.0764091
"telephone set"	0.0762123
"weather satellite"	0.0761823
"home appliance"	0.0759968
photocopier	0.0759356
"information science"	0.0758537
"programming language"	0.0755157
"computer network"	0.0750315
"golf equipment"	0.0749767
gadgetry	0.0746899
"software product"	0.0745171
"computer equipment"	0.0740268
"wireless telephone"	0.0729267
"personal computer"	0.072884
know-how	0.0728058
"computer program"	0.072453
"UNIX operating system"	0.0714501
scanner	0.0714236
"communications satellite"	0.0707812
laser	0.0706549
"electronics industry"	0.0703642
"scientific method"	0.0699222
"scientific instrument"	0.0698244
machine-building	0.0696576
"computing system"	0.0693685
intranet	0.0691526
microprocessor	0.0691396
"nuclear energy"	0.0688962
engineering	0.0686137
machinery	0.0683909
"specialty chemical"	0.0681386
metallurgy	0.0676134
warehousing	0.0675573
sensing	0.0675535
"computer graphics"	0.0674016
"telephone service"	0.0672867
wireless	0.0671428
workstation	0.0667386
"surveillance system"	0.0665512
pagers	0.0662641
stents	0.066255
e-commerce	0.0662096
"teaching method"	0.0658411
supercomputers	0.0658067
"cellular phone"	0.0651426
"laser printer"	0.06502
"phone service"	0.0649677
"control system"	0.0647835
handset	0.0639067
"veterinary medicine"	0.0637254
gadget	0.0636706
modem	0.0636232
"sound system"	0.0633945
generics	0.0633556
"particle accelerator"	0.063312
"optical fiber"	0.0630486
instrumentation	0.0629354
aeronautics	0.0628565
refrigeration	0.0626774
"air-to-air missile"	0.0626218
"security system"	0.0622934
router	0.0622896
"automatic teller machine"	0.0622152
genomics	0.0617925
"medical instrument"	0.0616719
appliance	0.0612117
cellphones	0.0611907
"electrical device"	0.0609341
"spy satellite"	0.0605411
agribusiness	0.0604899
broadband	0.0603875
"relay stations"	0.0603303
endoscope	0.0601685
"broadcasting company"	0.0598205
"cable television"	0.0595687
knowhow	0.0594918
e-business	0.0594598
"fighter aircraft"	0.0592689
"video game"	0.0590677
beepers	0.0589305
"software package"	0.0587958
"alarm system"	0.0586878
"catalytic converter"	0.0585851
"technology issue"	0.0584657
"hand-held computer"	0.058207
"electronic mail"	0.0580782
aerospace	0.0580311
PDA	0.0579506
"fuel cell"	0.0578702
"water filter"	0.0574276
"transportation system"	0.0573884
"wonder drug"	0.0573005
"weather forecasting"	0.0572055
"disk drive"	0.0572033
"chain store"	0.0569016
"scientific knowledge"	0.0566652
"memory chip"	0.0563913
amplifier	0.0563379
"satellite receiver"	0.0562823
portables	0.0562361
"electronic communication"	0.0562204
"propulsion system"	0.055324
"fax machine"	0.0552609
"production equipment"	0.0551239
"integrated circuit"	0.055037
defoliant	0.0550301
copier	0.0550219
retailing	0.0548869
videogames	0.0546663
biology	0.0546213
"computer science"	0.0545063
telemedicine	0.0545035
publishing	0.0544063
GSM	0.0542269
"trading system"	0.0541124
cryptography	0.053986
"ventilation system"	0.053755
CFCs	0.0534239
"eminent domain"	0.0534006
radar	0.0532932
gizmo	0.0532245
"housing industry"	0.0532034
"local area network"	0.053129
"e- commerce"	0.0530809
genetics	0.0528644
"consumer product"	0.0527129
"rescue equipment"	0.0526476
"data processing"	0.0526295
"office furniture"	0.0525317
aviation	0.0525075
petrochemical	0.0524428
"temporary worker"	0.0524009
videophone	0.0521065
peripheral	0.0519755
"computer game"	0.0519027
methodology	0.0517972
shipbuilding	0.0517529
"computer programming"	0.051708
ceramic	0.0515885
"storage device"	0.0515706
microcomputer	0.051342
))
("Communications Workers of America" (desc 2866.55) (sims
CWA	0.335366
"International Brotherhood of Electrical Workers"	0.253401
"machinists union"	0.225285
"United Auto Workers"	0.217758
"United Steelworkers"	0.200965
"National Education Association"	0.200487
"American Federation"	0.186613
"Air Line Pilots Association"	0.172516
"Service Employees International Union"	0.163582
UAW	0.161502
AFL-CIO	0.154471
"Screen Actors Guild"	0.14812
"U.S. Chamber of Commerce"	0.14391
"Association of Flight Attendants"	0.137344
"National Council of La Raza"	0.135206
"District Council"	0.130767
"International Association of Machinists"	0.129425
"Securities Industry Association"	0.125278
"International Brotherhood"	0.124987
"American Association of Health Plans"	0.120642
"Local @@"	0.119514
"Allied Pilots Association"	0.118425
"CBS Sports"	0.117967
teamster	0.117717
"National Federation"	0.116373
"U.S. Immigration and Naturalization Service"	0.11415
Teamsters	0.113694
"American Bankers Association"	0.111625
"National Abortion and Reproductive Rights Action League"	0.110487
"National Association of Broadcasters"	0.110045
"Congressional Black Caucus"	0.104244
"U.S. Soccer Federation"	0.103956
"National Republican Congressional Committee"	0.102075
"Olympic Council of Asia"	0.100915
"Board of Elections"	0.100463
"Australian Olympic Committee"	0.0980069
"National Association of Manufacturers"	0.0965017
"American Legion"	0.0961974
"ABC Sports"	0.0960761
"Family Research Council"	0.0950724
machinist	0.0949069
"Recording Industry Association of America"	0.0941583
"Chinese Olympic Committee"	0.0940111
"American Civil Liberties Union"	0.0926012
"Sierra Club"	0.091337
"Air Transport Association"	0.0910526
"Local @@@"	0.0909481
"American Petroleum Institute"	0.0887283
"Handgun Control Inc."	0.0886872
"Log Cabin Republicans"	0.088226
guild	0.0882178
NEA	0.0881408
DLC	0.0879719
"SBC Communications"	0.0879277
"AMR Corp."	0.0873538
"National Organization"	0.0869628
"IG Metall"	0.0869446
"American Red Cross"	0.0853492
"Chevron Corp."	0.0852992
"Cuban American National Foundation"	0.0851437
"National Association"	0.0846647
"Texas Department of Public Safety"	0.0845882
"Democratic Leadership Council"	0.082543
TrustE	0.0819951
"American Jewish Committee"	0.0811841
"Common Cause"	0.0811796
"National Audubon Society"	0.0809891
"United Malays National Organization"	0.0805273
"National Rifle Association"	0.0804832
"Democratic Congressional Campaign Committee"	0.0803194
NAACP	0.0796941
"Con Edison"	0.0794041
"Handgun Control"	0.0791011
"International Ski Federation"	0.0790891
"US West"	0.0786357
"Local @@@@"	0.0782915
"NBC News"	0.0781929
"Southwestern Bell"	0.0781286
"U.S. Olympic Committee"	0.0780774
"Philip Morris Cos."	0.0778209
"Christian Coalition"	0.0777918
"Hearst Corporation"	0.0774771
"Motion Picture Association of America"	0.0772812
"Consumer Federation"	0.076834
"Board of Supervisors"	0.0765326
"National Council of Churches"	0.0762776
"International Amateur Athletic Federation"	0.0762646
"Main Events"	0.0762332
Mensa	0.0762245
EPR	0.0757148
UMNO	0.0753005
"Department of Corrections"	0.0749627
"Urban League"	0.0748323
"American Heart Association"	0.0745913
"International Federation"	0.0741875
"International Committee"	0.0733298
"Royal Ulster Constabulary"	0.0731124
"American Association of Retired Persons"	0.0729091
"Democratic Senatorial Campaign Committee"	0.072624
Lakas	0.0725419
NARAL	0.0723354
"Labor office"	0.0722422
"New Korea Party"	0.0722289
"Audubon Society"	0.0720352
"Department of Health"	0.072021
ACLU	0.071828
"European Bank for Reconstruction"	0.0717388
IMG	0.0716822
"Atlanta Committee"	0.0714648
Lakas-NUCD	0.0714386
"True North"	0.0712224
"Bank of Montreal"	0.070896
"International Badminton Federation"	0.0706583
SCLC	0.0706159
"Planned Parenthood"	0.0703365
"New York Police Department"	0.0702295
"Department of Health and Human Services"	0.0701647
"Salt Lake Organizing Committee"	0.0701508
"Russian Space Agency"	0.0697492
DRI	0.0697009
"World Bank Group"	0.0695695
ama	0.0695687
AARP	0.069529
VFW	0.0695288
"ground crew"	0.0690465
"National Highway Traffic Safety Administration"	0.0687244
AAA	0.0687051
Bundestag	0.0685706
"National Trust"	0.0685185
ICBC	0.0679985
"Bill Lockyer"	0.0677701
"National Alliance"	0.067649
"professional association"	0.0676311
"Better Business Bureau"	0.0674408
"New York Times Co."	0.0673715
GTE	0.0673337
"Department of Public Safety"	0.0671602
"Mormon Church"	0.0667431
YankeeNets	0.0667271
"Sydney Organizing Committee"	0.0663482
"Center Party"	0.0662984
Eximbank	0.0662183
"Philadelphia Orchestra"	0.0661106
"Chase Manhattan Corp."	0.0661033
"Wine Institute"	0.0659247
"Rainbow/PUSH Coalition"	0.0657212
MTA	0.0653957
"Dow Jones &AMP; Co."	0.0652675
"Commerce Committee"	0.0652103
Greenpeace	0.0650473
"French Foreign Ministry"	0.0650014
"Benevolent Association"	0.0648001
AmCham	0.0647975
"board of education"	0.0647171
"senior class"	0.0646665
"House Appropriations Committee"	0.0643247
"American Psychiatric Association"	0.0643136
"Port Authority of New York"	0.0640772
AFA	0.064043
PTA	0.0639708
"League of Women Voters"	0.0637801
"National Park Service"	0.0637238
"National Urban League"	0.0637104
"trade association"	0.0636283
UAL	0.0636052
"All-China Youth Federation"	0.0635406
"International Amateur Athletics Federation"	0.0634287
CPAFFC	0.0632132
FIVB	0.0631677
"Health Department"	0.0631257
"National Conference"	0.0630796
"Socialist Party"	0.0629871
"Center for Responsive Politics"	0.0628687
"Bharatiya Janata Party"	0.0628646
"Association for Relations Across"	0.0628216
"Federal Reserve Bank"	0.0626574
"National Association of Realtors"	0.062609
"Justice Ministry"	0.0624528
"Columbia Pictures"	0.0624148
"Federated Department Stores"	0.0623295
"U.N. World Food Program"	0.0621278
"Koch Industries"	0.0620814
NRA	0.0620634
Laban	0.0619961
"World Jewish Congress"	0.0619888
"American Bar Association"	0.061926
"Department of Foreign Affairs"	0.0618245
"House Commerce Committee"	0.0618162
"Ramsey Clark"	0.0616526
USOC	0.0616064
"Anti-Defamation League"	0.0614367
"Ford Motor Company"	0.0612982
"Pacific Bell"	0.0611278
"Human Rights Commission"	0.0609928
SLOC	0.0608987
bargainer	0.0607243
"Department of Environmental Conservation"	0.0606871
Confederation	0.0606343
"National League for Democracy"	0.0606269
"Gap Inc."	0.0605315
))
(communicator (desc 5662.88) (sims
"Netscape Navigator"	0.149288
"Outlook Express"	0.120408
"Office @@"	0.107811
"public speaker"	0.102902
debater	0.09661
"Internet Explorer"	0.0915914
navigator	0.0914407
"Microsoft Office"	0.0909002
tactician	0.0906282
"Office @@@@"	0.0884108
raconteur	0.0841318
storyteller	0.0822994
"chess player"	0.0775351
evaluator	0.0774414
draftsman	0.0765545
manipulator	0.0760999
insulator	0.0747377
"piece of work"	0.0731498
"Palm VII"	0.071009
WordPerfect	0.0707958
"Windows CE"	0.0698865
motivator	0.0696957
"pass catcher"	0.069093
"ball club"	0.0689541
handicapper	0.0680742
conciliator	0.067906
cabinetmaker	0.0667792
RealPlayer	0.0664276
Netcenter	0.066363
craftsman	0.0656238
illustrator	0.0654865
Win@@	0.0650143
mover	0.0646962
"character actor"	0.0646023
talker	0.0642607
orator	0.0639285
puppeteer	0.063586
portraitist	0.0628607
"hand-held computer"	0.0609097
returner	0.060736
blocker	0.0606471
gadfly	0.060389
wordsmith	0.0594501
thinker	0.0593981
telephony	0.059383
browser	0.0593413
"Mac OS"	0.0590656
browsers	0.0590116
ventriloquist	0.058715
fielder	0.0585464
violinist	0.0584459
IE	0.0583793
Intimidator	0.0582854
craftsmen	0.0579939
songwriter	0.057889
agnostic	0.0568162
MS-DOS	0.0564345
dramatist	0.0563519
"hard worker"	0.056212
stylist	0.056166
ballplayer	0.056151
puncher	0.0549291
DOS	0.0547882
"art director"	0.0546581
Solver	0.054595
typist	0.0544922
newspaperman	0.0544715
Litigator	0.0544292
"good person"	0.0539201
lexicographer	0.0538634
rebounders	0.0538149
"hockey player"	0.0536755
Programmer	0.0536404
passer	0.0534799
flutist	0.0532808
"word processing"	0.0532153
bloomer	0.0529854
campaigner	0.0529728
acquirer	0.0528224
charmer	0.0526378
satirist	0.0521505
Sportsman	0.052068
"software engineer"	0.051761
"Windows @.@"	0.0512084
statesman	0.0511164
Solaris	0.051055
filtering	0.0509582
womanizer	0.0508145
"spin doctor"	0.0507768
"Palm Pilots"	0.0506887
cameramen	0.0506154
wonk	0.0505841
"Palm Pilot"	0.0505403
colorist	0.0505089
animators	0.050428
Firebird	0.0504219
sociopath	0.0504011
novelist	0.0503089
bloke	0.0498958
"role player"	0.0498705
pager	0.049807
PowerPoint	0.0497842
"landscape architect"	0.0497641
earpiece	0.0496668
"Windows NT"	0.0495817
cellist	0.0495751
personalization	0.0492727
"draft dodger"	0.0492286
egomaniac	0.0491844
pagers	0.0490608
animator	0.0487542
walkie-talkie	0.048716
perjurer	0.0485604
emulator	0.0484755
"baseball player"	0.0484499
printer	0.0484385
doer	0.0483421
accompanist	0.0483369
educator	0.0482258
junkie	0.0481383
healer	0.048097
returners	0.048018
closers	0.0479528
"public servant"	0.0479265
philosopher	0.0478842
"telephone set"	0.0477231
"role model"	0.0476613
desktop	0.0473287
"Windows @@@@"	0.0471359
"Trojan Horse"	0.0471156
"UNIX operating system"	0.0468522
"job candidate"	0.0468407
arranger	0.0467955
lyricist	0.0466165
"talent scout"	0.0465687
"volleyball player"	0.0465364
jurist	0.0464509
innovator	0.0464153
rebounder	0.0463669
"operating system"	0.0463136
gizmo	0.046274
hurler	0.0461387
handhelds	0.0461331
synchronization	0.0460548
miler	0.0460056
magician	0.045943
speechwriter	0.0458971
achiever	0.0458271
craftspeople	0.0457767
"disc jockey"	0.0457753
"Windows @@"	0.0457562
"decision maker"	0.0456785
Nutcracker	0.0455119
CAD	0.0455102
interface	0.0454088
emulation	0.0453943
add-on	0.0453183
"traveling salesman"	0.0452431
cog	0.0452095
"word processor"	0.0451449
liar	0.045114
DJ	0.0450963
goal-scorer	0.0450864
protector	0.045026
"farm boy"	0.0449295
handheld	0.0449212
beepers	0.0449168
plumber	0.0448063
swinger	0.0447536
marketer	0.0446858
scanner	0.0446665
messenger	0.0446528
sculptor	0.044632
demagogue	0.0444677
strategist	0.0442327
learner	0.0441525
evangelist	0.0441169
tuner	0.0440682
stuntman	0.0440642
tracker	0.044056
joiner	0.0438055
installer	0.0437723
pacifist	0.0436167
deliverer	0.0436032
Philanderer	0.0435868
Encarta	0.0435038
taskmaster	0.043496
"stage manager"	0.0433382
racehorse	0.043322
gung-ho	0.0433058
"big leaguer"	0.0432463
ballclub	0.0432298
fiend	0.0432221
Java	0.0432052
peacemaker	0.0431866
"test pilot"	0.0431743
"global positioning system"	0.0431586
critter	0.0430724
humanist	0.0429446
underachiever	0.0429365
))
(communion (desc 7491.31) (sims
oneness	0.0675109
kinship	0.0672989
penance	0.0672314
baptism	0.065847
ordination	0.0629492
epiphany	0.052608
"personal relation"	0.0518531
Shays-Meehan	0.0514276
"Veterans Day"	0.0498867
sacrament	0.0497111
rededication	0.0483914
reconciliation	0.0476313
intimacy	0.0470804
"social contract"	0.0469848
"religious ceremony"	0.0462879
togetherness	0.0456226
"bar mitzvah"	0.0455309
rapport	0.0451857
equilibrium	0.0448861
contemplation	0.0447014
contrition	0.0440066
demilitarization	0.0433892
truce	0.0432153
"Last Supper"	0.0424717
interoperability	0.0420632
catharsis	0.0417502
rapture	0.0406744
six-point	0.0402229
nationhood	0.0402156
circumcision	0.0400902
solemnity	0.0400626
))
(communique (desc 32731.9) (sims
Declaration	0.191226
statement	0.176472
memorandum	0.170107
"press release"	0.136847
resolution	0.133277
document	0.127397
"white paper"	0.124808
agreement	0.123586
Circular	0.122202
accord	0.119987
"news release"	0.119085
"Sino-British Joint Declaration"	0.11812
"United Nations Charter"	0.117931
"Joint Declaration"	0.117308
Treaty	0.11316
memo	0.113021
protocol	0.112732
decree	0.112384
charter	0.104614
letter	0.102406
"U.N. Charter"	0.0998734
"Oslo Accords"	0.0998714
manifesto	0.0975832
directive	0.0974369
"Sino-Japanese Joint Statement"	0.0959452
guideline	0.0948963
"Lusaka Peace Accord"	0.0908355
announcement	0.0896785
bulletin	0.0888462
pact	0.0886734
"Basic Law"	0.0879317
principle	0.0871048
constitution	0.085334
proposal	0.0850698
"trade agreement"	0.0848022
speech	0.0839341
"Beijing Declaration"	0.0836469
article	0.0826131
"Lahore Declaration"	0.081594
"UN Charter"	0.081128
"letter of intent"	0.0807175
proclamation	0.0806548
"open letter"	0.0802925
affidavit	0.0800371
decision	0.0793549
"Joint Statement"	0.0792954
meeting	0.0781891
Ikimi	0.0762975
"Sino-Portuguese Joint Declaration"	0.0761403
agenda	0.074946
"Geneva convention"	0.074842
recommendation	0.0748217
"press conference"	0.0743437
"plan of action"	0.0742539
summary	0.0737885
"international law"	0.0731391
prospectus	0.0719704
notice	0.0716602
summit	0.0707844
regulation	0.0707381
framework	0.0702918
"Universal Declaration"	0.0696377
"Resolution @@@@"	0.0691818
leaflet	0.0689338
ruling	0.0688499
remark	0.0687975
"basic principle"	0.067598
Jiang	0.0668396
Malu	0.0667531
paper	0.0665193
message	0.0658531
"peace treaty"	0.065643
cease-fire	0.0655215
editorial	0.065521
MOU	0.0651335
consultation	0.0649737
Sino	0.0646282
"code of conduct"	0.0645837
"news briefing"	0.0645274
Sino-U.S.	0.0644075
law	0.063261
Qian	0.0628701
Abuja	0.0626001
cooperation	0.0624882
Zhu	0.0623771
pamphlet	0.0623011
survey	0.0622616
"U.N. Security Council Resolution @@@"	0.062221
pledge	0.0616504
petition	0.0614492
initiative	0.0613673
"Article @@"	0.0611253
filing	0.0610279
"news conference"	0.0608913
gazette	0.0607555
Brittan	0.0606876
briefing	0.0605813
"proxy statement"	0.0604603
discussion	0.0602559
understanding	0.0601917
consensus	0.0598926
"trade relation"	0.0595331
"memorandum of understanding"	0.0592364
comment	0.0590725
"inaugural address"	0.0588513
memoranda	0.0586067
"telephone conversation"	0.0578775
truce	0.0576692
CTBT	0.0576444
conclusion	0.0575162
"Resolution @@@"	0.057484
"Comprehensive Test Ban Treaty"	0.0574277
Chissano	0.0570668
paragraph	0.056922
covenant	0.0564512
draft	0.0564379
Mkapa	0.0562901
Ordinance	0.056171
conference	0.0558069
audit	0.055779
Kharrazi	0.0557569
Saleh	0.0557418
Boueiz	0.0555366
opinion	0.0555234
brochure	0.0554816
blueprint	0.0554795
forum	0.0554029
"Maastricht Treaty"	0.0551949
particular	0.0548846
norm	0.054828
Moussa	0.0545175
transcript	0.0543733
legislation	0.0542699
text	0.0542564
statute	0.054188
indictment	0.0540605
"Vienna Convention"	0.0536758
"development plan"	0.0536525
"foreign minister"	0.0535152
Tsang	0.0534736
commentary	0.0534526
Zeng	0.0534274
"press briefing"	0.0532218
citation	0.0530722
"summit meeting"	0.052804
stance	0.0527999
doctrine	0.0527842
spokesman	0.0527402
"Russian Foreign Ministry"	0.0526443
Mubarak	0.0523458
friendship	0.0523352
"news report"	0.0522897
commitment	0.0522587
convention	0.0521847
annex	0.0520965
subpoena	0.0520719
manual	0.0519669
negotiation	0.0519611
platform	0.0518425
"criminal law"	0.0518336
advertisement	0.0518174
"Declaration of Independence"	0.0514879
Wye	0.0514597
"fundamental principle"	0.0513516
finding	0.051322
Nzo	0.0513189
Oslo	0.0511467
objective	0.0511335
seminar	0.0510556
testimony	0.0510519
telegram	0.0509728
clause	0.0508139
ultimatum	0.0506282
spokesperson	0.0504447
ceasefire	0.0503463
provision	0.0502736
Secretariat	0.0500535
Vice-Premier	0.0500318
amendment	0.0500111
"Jiang Zemin"	0.0495931
obligation	0.049545
instruction	0.0495374
"telephone call"	0.0494964
dialogue	0.0493885
pronouncement	0.0489975
ceremony	0.0489167
committee	0.0488059
code	0.0487886
handbook	0.048377
verdict	0.0483202
Hu	0.0482526
"mutual understanding"	0.0479191
"political relation"	0.0479149
edict	0.0478552
Majali	0.0477167
Salim	0.0476649
Tung	0.0475636
Axworthy	0.0475579
Chiluba	0.0474927
Cem	0.0474401
))
(communism (desc 30352.9) (sims
dictatorship	0.127917
apartheid	0.127512
Fascism	0.124194
socialism	0.114772
imperialism	0.106304
Capitalism	0.103483
regime	0.101615
Marxism	0.0991992
fundamentalism	0.0947236
tyranny	0.0915603
oppression	0.0912323
nationalism	0.0894129
"Soviet Union"	0.089158
democracy	0.0869152
racism	0.0869083
colonialism	0.0867551
Nazism	0.0831386
totalitarianism	0.0799497
Zionism	0.0790339
revolution	0.0789418
"Ottoman Empire"	0.0771252
"Nazi Germany"	0.0769636
slavery	0.0767436
terrorism	0.0762411
Christianity	0.0752949
liberalism	0.0749519
Communist	0.0732433
ideology	0.072461
Islam	0.0716015
Hitler	0.0711605
occupation	0.0706303
anti-Semitism	0.0685494
Nazi	0.0677688
poverty	0.0665053
invader	0.0656538
religion	0.0654011
repression	0.0652651
extremism	0.0651794
"Cold War"	0.064546
militarism	0.0621066
monarchy	0.0613758
politics	0.0612982
movement	0.0601497
segregation	0.0601048
"Fidel Castro"	0.0591761
"Berlin Wall"	0.0591381
violence	0.0587415
culture	0.0581735
protectionism	0.0576853
"organized crime"	0.05767
evil	0.0576693
aggression	0.0567935
"Falun Gong"	0.0563852
Buddhism	0.0561322
"Third Reich"	0.0557095
hegemonism	0.0556694
corruption	0.0555742
"free trade"	0.0554385
disintegration	0.0553594
authoritarianism	0.0552064
feminism	0.0551352
dictator	0.0547616
civilization	0.05468
domination	0.0545947
separatism	0.0544995
"Khmer Rouge"	0.0542135
"political system"	0.0541752
empire	0.0539027
"civil war"	0.053841
contagion	0.0537344
globalization	0.0536358
freedom	0.0534214
Castro	0.0533965
holocaust	0.0527388
isolation	0.0524002
"rule of law"	0.0523545
"Communist Party"	0.0518155
recession	0.051592
desertification	0.0515363
invasion	0.0514042
"Saddam Hussein"	0.0513694
insurgency	0.0511163
"economic policy"	0.0509979
Mobutu	0.0508401
terror	0.0507861
secularism	0.0505507
"Vietnam War"	0.0502901
leadership	0.0500376
conservatism	0.0499678
epidemic	0.0499635
inflation	0.0496773
instability	0.0494653
hunger	0.0494105
conflict	0.049321
Saddam	0.049162
nationalist	0.0490256
famine	0.0489878
unrest	0.0488914
Catholicism	0.0483507
persecution	0.0481169
patriotism	0.0480367
embargo	0.0473378
consumerism	0.0473188
orthodoxy	0.0471733
"iron curtain"	0.0470777
"death penalty"	0.0469484
individualism	0.0467629
rebellion	0.0466297
ideal	0.0465721
peace	0.0465095
Journalism	0.046256
"market reform"	0.046082
bigotry	0.0459526
"free enterprise"	0.045827
hegemony	0.0457114
"human right"	0.0456121
injustice	0.0454271
Milosevic	0.0451758
diplomacy	0.0451141
abortion	0.0449898
pluralism	0.0448532
"capital punishment"	0.0448528
PRI	0.044615
turmoil	0.044442
environmentalism	0.0444416
"Mobutu Sese Seko"	0.0443614
"American Dream"	0.0442326
chaos	0.0440422
"martial law"	0.0440185
coup	0.0440076
"drug trade"	0.0438345
strife	0.043808
xenophobia	0.0437299
cult	0.043624
Judaism	0.0435884
"drug trafficking"	0.0435772
"freedom of the press"	0.0433996
"civil liberty"	0.0431909
impeachment	0.0431882
enemy	0.0431621
colonialist	0.0430872
Suharto	0.0430622
cancer	0.042969
isolationism	0.0429674
"economic system"	0.0428303
intolerance	0.0427768
tradition	0.0425789
upheaval	0.0425699
notion	0.042493
theory	0.0424039
modernism	0.0423982
radicalism	0.0422718
cleansing	0.0422145
economics	0.0422131
immigration	0.0419538
philosophy	0.0415551
independence	0.0415188
scourge	0.041481
"way of life"	0.0413777
discrimination	0.041311
materialism	0.0411654
"North Korea"	0.0409529
"freedom of speech"	0.0408849
Liberty	0.0407286
correctness	0.0404783
unemployment	0.0404433
smoking	0.0404361
marriage	0.0404298
gambling	0.0401678
inequality	0.0400619
HIV/AIDS	0.0400149
))
(Communist (desc 51037.8) (sims
socialist	0.165681
leftist	0.154927
conservative	0.146665
nationalist	0.134199
liberal	0.132358
"Communist Party"	0.13073
hard-liner	0.125758
"Social Democrats"	0.125634
"Christian Democrats"	0.118683
hardliner	0.110176
environmentalist	0.109483
unionist	0.10779
ally	0.10755
moderate	0.107279
Republican	0.106285
Democrat	0.106046
party	0.105364
reformer	0.104819
regime	0.0994166
lawmaker	0.0993897
opposition	0.0982337
ex-communist	0.0980934
activist	0.0980703
faction	0.0973906
Nazi	0.0971609
fundamentalist	0.0961137
PRI	0.095282
government	0.0941901
guerrilla	0.094006
Marxist	0.0938651
rebel	0.0937695
politician	0.0935434
"Khmer Rouge"	0.0932849
"labor union"	0.0932784
Coalition	0.0929588
"Labor Party"	0.091859
supporter	0.0913458
"People's Party"	0.0909042
centrist	0.0908145
leader	0.0896556
Likud	0.0894797
"Liberal Democratic Party"	0.089468
"Congress Party"	0.0877061
LDP	0.0869535
"National Party"	0.0869138
loyalist	0.0865241
"African National Congress"	0.0864623
BJP	0.0862862
pacifist	0.0861632
Serbs	0.0856382
"Socialist Party"	0.0852089
junta	0.0845801
military	0.0844073
Taliban	0.0840101
legislator	0.0835153
Shas	0.0833855
dissident	0.0833724
militia	0.0833543
cleric	0.08335
"Bharatiya Janata Party"	0.0830382
enemy	0.0829087
reformist	0.0826978
terrorist	0.0826725
"Social Democratic Party"	0.0825795
feminist	0.0822393
"Democratic Party"	0.0820959
advocate	0.0813903
"political party"	0.0804872
extremist	0.0804135
radical	0.0801952
ANC	0.0798525
militant	0.0797136
Sandinistas	0.0796698
SPD	0.0791433
opponent	0.0790971
member	0.0790634
rightist	0.0790613
foe	0.0787415
bloc	0.0781844
Catholic	0.0777193
union	0.0773594
protester	0.0773213
army	0.0773155
group	0.0769205
separatist	0.0766266
"Liberal Party"	0.0764544
fascist	0.076176
dictator	0.0747032
"National Front"	0.0746011
insurgent	0.0741073
"Hun Sen"	0.0736748
"United National Party"	0.0734765
communism	0.0732433
homosexual	0.0727592
CPP	0.0727343
anarchist	0.0721773
Islamists	0.0721138
President	0.0720709
administration	0.0717206
"union member"	0.0716767
Jew	0.0716144
right-winger	0.071262
"National Rifle Association"	0.0708801
Milosevic	0.070736
KLA	0.0704688
Muslim	0.0703685
Hezbollah	0.0702711
revolutionary	0.0702195
"Sam Rainsy"	0.0700535
BNP	0.0699616
settler	0.0698352
Fatah	0.0697148
labor	0.0696379
"Kosovo Liberation Army"	0.0695771
Palestinian	0.0695032
"Saddam Hussein"	0.0692637
"Fidel Castro"	0.0692071
Libertarian	0.0689703
clergy	0.0687185
christian	0.0685124
"Freedom Union"	0.0684172
Protestant	0.0682188
ruler	0.0680435
"right wing"	0.0679301
"Soviet Union"	0.0678651
"political leader"	0.0678536
sympathizer	0.0677337
capitalist	0.067302
Arab	0.067295
"military officer"	0.0672908
Alliance	0.0671652
Yeltsin	0.0668373
rival	0.0666387
Turk	0.0664569
NRA	0.0662634
Meretz	0.0660253
"Ulster Unionists"	0.0658762
"religious leader"	0.0656912
"Conservative Party"	0.0656275
Soviets	0.0655456
Khatami	0.0655335
follower	0.0654043
voter	0.0653886
senator	0.0652818
bureaucrat	0.0652506
minority	0.0652258
Mayor	0.0652179
Renamo	0.0651926
"East German"	0.0649858
Israeli	0.064945
MQM	0.0649247
traditionalist	0.0648668
Israel	0.0648144
Yabloko	0.0647374
fighter	0.0647321
"Bangladesh Nationalist Party"	0.0646967
UNP	0.0644646
"Awami League"	0.0644267
atheist	0.0643006
"trade union"	0.0639572
adversary	0.0639076
Zionist	0.0638459
Tory	0.0637322
official	0.0636927
deputy	0.0636605
critic	0.0636229
"trade unionist"	0.0635853
"secret police"	0.0635408
clergymen	0.0635156
"military leader"	0.0634577
Castro	0.0632695
British	0.0632494
"business leader"	0.0632268
movement	0.0631627
Russian	0.0631314
CPN-UML	0.0630309
"Likud Party"	0.0628064
Soviet	0.0627826
"Sinn Fein"	0.0626669
independent	0.0624215
racist	0.0623636
Albanian	0.0622994
GOP	0.0622935
Governor	0.0621426
"Pakistan Muslim League"	0.0620859
Kurds	0.0619623
authority	0.0619015
"labor leader"	0.0618969
Tutsi	0.0617793
Speaker	0.0617313
Saddam	0.0617229
parliament	0.0616641
Mafia	0.061491
Haider	0.0614651
dictatorship	0.0613573
"elected official"	0.061347
"Liberal Democrats"	0.061329
Congress	0.0612736
troop	0.0611529
demonstrator	0.0610903
))
("Communist China" (desc 1061.86) (sims
"Turkish Republic"	0.167253
"New China"	0.107307
"Turkish Republic of Northern Cyprus"	0.0968617
PRC	0.0775435
"Alcoholics Anonymous"	0.0762769
"Special Olympics"	0.0760277
ICA	0.0732856
"secret society"	0.0706162
"Livent Inc."	0.0584418
"Islamic Republic"	0.0584143
"Russian Navy"	0.0567346
"Operation Rescue"	0.0521229
"Hyundai Group"	0.0509453
"special economic zone"	0.0509106
"Earth Day"	0.0505476
Rodionov	0.0497225
BIA	0.0496597
"National Organization"	0.0496362
Ikea	0.0494561
DLC	0.0491835
pogrom	0.0490647
"Ingmar Bergman"	0.0487789
annexation	0.0482164
Scientology	0.0479777
CIRC	0.0478876
"one million US dollars"	0.047786
NAM	0.0475044
"South Vietnam"	0.0474548
"Whitney Museum"	0.0472153
"American Legion"	0.0467671
"Group of @@"	0.0463115
"Qin Dynasty"	0.045437
taskbar	0.0452771
"Sea Launch"	0.044302
"Silicon Graphics"	0.0438573
iconoclasm	0.0435879
"about three percent"	0.0434693
"People's Liberation Army"	0.0421542
WCC	0.0421301
Furcal	0.0419726
"youth movement"	0.0419001
Milken	0.0418224
Reston	0.0417001
"Greek Orthodox Church"	0.0414675
AIG	0.0410245
looper	0.0406871
Mitterrand	0.0405874
"New York Yacht Club"	0.0404634
Transmeta	0.0403284
SMIs	0.0402068
"National Awakening Party"	0.0401369
"computer business"	0.040116
"Erie Canal"	0.0400276
"slave trade"	0.0400008
))
("Communist Party" (desc 36360.4) (sims
"Chinese Communist Party"	0.24563
CPC	0.205082
"Communist Party of China"	0.196454
"Socialist Party"	0.172714
party	0.153448
"African National Congress"	0.151553
CPN-UML	0.150928
"Nepali Congress"	0.148363
"Democratic Party"	0.14762
"Liberal Democratic Party"	0.146756
"Vietnamese Communist Party"	0.141168
"Congress Party"	0.140316
"National Democratic Party"	0.138366
"Central Committee"	0.13766
CPV	0.136094
"National Party"	0.135708
"trade union"	0.133499
"Social Democratic Party"	0.133333
"CPC Central Committee"	0.132412
Communist	0.13073
NC	0.130306
ANC	0.129806
"Labor Party"	0.12974
"Bharatiya Janata Party"	0.12836
"Liberal Party"	0.12461
"Chinese Communist Party Central Committee"	0.120282
"People's Party"	0.118853
"political party"	0.118333
LDP	0.117722
RPP	0.116054
PRI	0.115229
"Social Democrats"	0.114565
BJP	0.11451
government	0.11157
"Bangladesh Nationalist Party"	0.111447
Likud	0.110964
"Christian Democrats"	0.107265
"Baath Party"	0.106867
"Institutional Revolutionary Party"	0.10566
"Russian Communist Party"	0.104521
Fatah	0.104069
CPP	0.103763
"Nationalist Party"	0.102237
"Conservative Party"	0.102197
Coalition	0.101659
UNIP	0.101229
"Likud Party"	0.10067
federation	0.0995722
BNP	0.0990345
"National Front"	0.0983063
SPD	0.0981834
"Kenya African National Union"	0.0977887
"Republican Party"	0.0977078
CPN-ML	0.097629
"Awami League"	0.0976271
MPLA	0.097611
"China Central Committee"	0.0964761
faction	0.0963034
"Green Party"	0.0954384
PCF	0.0950479
CPPCC	0.0945947
"Party Central Committee"	0.0937335
"Pakistan Muslim League"	0.0936923
socialist	0.0933347
"armed forces"	0.0931578
Shas	0.0931059
"Colorado Party"	0.0929465
"South African Communist Party"	0.0923826
Golkar	0.0917499
union	0.0915905
Zanu-pf	0.0911947
"United National Party"	0.0902094
NLD	0.0901601
military	0.0901561
CDU	0.0901304
Alliance	0.0900079
"Center Party"	0.0900067
"United National Independence Party"	0.089255
"National League for Democracy"	0.0890313
"labor union"	0.0888395
Renamo	0.0876096
opposition	0.087565
parliament	0.0874163
organization	0.0872769
UNP	0.0872553
"Revolutionary Party"	0.0853012
UNITA	0.0850483
ministry	0.0849154
"Liberation Army"	0.0845354
NP	0.0844501
"Popular Party"	0.0841262
IFP	0.0836601
Hamas	0.0832806
Hezbollah	0.0832631
"Christian Democratic Union"	0.0825147
"Supreme Soviet"	0.0823592
"Interior Ministry"	0.0821677
"Inkatha Freedom Party"	0.0820764
"Reform Party"	0.0819945
"Motherland Party"	0.0819432
"Liberal Democrats"	0.0818768
Yabloko	0.0815738
"Janata Dal"	0.0815728
FRELIMO	0.0813827
FUNCINPEC	0.0809724
movement	0.0809021
"Arab League"	0.0808979
Congress	0.0807014
"central bank"	0.0805972
MMD	0.080403
"Chinese government"	0.0802593
"United Malays National Organization"	0.0800181
"National Religious Party"	0.0798254
"local government"	0.0797125
"State Council"	0.0795989
army	0.0795076
"Palestinian Authority"	0.0793767
legislature	0.0792924
"Roman Catholic Church"	0.0792563
"Palestine Liberation Organization"	0.0783936
"Chinese People's Political Consultative Conference"	0.0783202
PLO	0.0782781
RPR	0.0779939
bloc	0.077407
Meretz	0.077383
leader	0.0773429
"National Assembly"	0.07734
ACFTU	0.0772979
NDP	0.0771428
Council	0.0771408
Taliban	0.0769048
junta	0.0768506
"Sinn Fein"	0.0766997
IOC	0.0765009
"Khmer Rouge"	0.0765002
"Council of Europe"	0.0763999
NPC	0.0763753
"United Front"	0.0760496
"United Nations"	0.0759854
PPP	0.075752
KLA	0.0752881
nationalist	0.0751018
"Freedom Party"	0.0745546
association	0.0744501
CCM	0.0741784
Judiciary	0.074122
leadership	0.0739234
FIFA	0.0737954
"United Democratic Movement"	0.0737919
"International Olympic Committee"	0.0734524
OAU	0.0733559
PKK	0.0730705
PDP	0.0729595
regime	0.0728899
"Political Consultative Conference"	0.0728387
MILF	0.0727464
"Central Government"	0.072443
militia	0.0723855
Kuomintang	0.0723773
Duma	0.0723324
administration	0.0723011
"business community"	0.0722489
Vatican	0.0720234
SPS	0.0716953
"Amnesty International"	0.0716309
PML	0.0716136
PLA	0.0715196
labor	0.071372
MNLF	0.0712989
"Muslim Brotherhood"	0.071292
"Foreign Ministry"	0.0710673
"Democrat Party"	0.0709958
"National Congress"	0.0709652
UMNO	0.0703252
COSATU	0.0701648
authority	0.0701152
"Catholic Church"	0.0700628
SDP	0.0696743
Kremlin	0.0693524
KGB	0.0693294
U.N.	0.0692835
"Ulster Unionist Party"	0.0692569
"Pan Africanist Congress"	0.0689644
"National Resistance Movement"	0.0689307
"Democratic Progressive Party"	0.0684754
"Cambodian People's Party"	0.0684673
NATO	0.0684393
UDF	0.0682127
NRA	0.068182
PRD	0.0680849
ally	0.0679748
"National Action Party"	0.0679284
committee	0.0677563
AFL-CIO	0.0675427
PASOK	0.0674939
"National Council of Churches"	0.0674352
"Golkar Party"	0.0672279
"Croatian Democratic Union"	0.0671662
"CPPCC National Committee"	0.0671424
Milosevic	0.0670306
))
("Communist Party of China" (desc 19171.4) (sims
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"Chinese Communist Party Central Committee"	0.326027
"Chinese Communist Party"	0.295787
CPC	0.277279
"China Central Committee"	0.269887
"Chinese Communist Party (CPC) Central Committee"	0.253462
"Central Committee"	0.231073
"Party Central Committee"	0.209842
"Communist Party"	0.196454
"Chinese People's Political Consultative Conference"	0.16337
"Political Consultative Conference"	0.141902
"Vietnamese Communist Party"	0.141176
"State Council"	0.133986
CPPCC	0.127434
"National People's Congress"	0.123922
"CPPCC National Committee"	0.115265
CPV	0.112875
"Political Bureau"	0.111807
"Central Commission for Discipline Inspection"	0.107306
"Communist Youth League of China"	0.106311
"CPC National Congress"	0.103964
NPC	0.101249
"standing committee"	0.100697
"CPC Central Commission for Discipline Inspection"	0.0958778
"Dai Bingguo"	0.0950602
"Jiang Zemin"	0.0932393
"National Congress"	0.0931892
"Preparatory Committee"	0.0926167
"People's Liberation Army"	0.0909187
"NPC Standing Committee"	0.0886022
"Ding Guangen"	0.0854074
"People's Republic of China"	0.0838959
"All-China Youth Federation"	0.0837559
"Beijing Municipal Committee"	0.0837439
"Central Military Commission"	0.0834871
"Hu Jintao"	0.0819365
"Huang Ju"	0.0809903
"Wen Jiabao"	0.0782833
"Congress Standing Committee"	0.0769996
"Revolutionary Party"	0.0769146
"Chinese government"	0.0768477
"Li Peng"	0.0760822
"Organization Department"	0.0744085
"South African Communist Party"	0.0742178
"Ninth National Committee"	0.0733196
"National Committee"	0.0730514
"municipal government"	0.0723866
"Zimbabwe African National Union-Patriotic Front"	0.0716914
"All-China Federation"	0.0715175
"Macao Affairs Office"	0.0713568
"Cambodian People's Party"	0.071188
"Economic Cooperation"	0.070442
"Li Tieying"	0.0704376
Presidium	0.0703285
"United Front Work Department"	0.070198
"Ministry of Culture"	0.0701058
"State Education Commission"	0.0687955
"Sher Bahadur Deuba"	0.0686834
"trade union"	0.0684479
"African National Congress"	0.0684298
"general secretary"	0.0683756
Procuratorate	0.0683089
"Liberation Army"	0.0681651
"Hong Kong Special Administrative Region"	0.0678008
"Jiang Chunyun"	0.0677645
"Deng Xiaoping Theory"	0.0675582
"Central Government"	0.0669015
"Association of Southeast Asian Nations"	0.066871
"King Norodom Sihanouk"	0.0667078
"Baath Party"	0.0665043
"Phan Van Khai"	0.0664744
"State Economic and Trade Commission"	0.0663568
"Cambodian King Norodom Sihanouk"	0.0662662
"Third Plenary Session"	0.0661172
"Taiwan Affairs Office"	0.0653817
"State Development Planning Commission"	0.065079
"Eighth National Committee"	0.0648992
"Democratic People's Republic of Korea"	0.0648545
"Zhu Rongji"	0.0648291
CMC	0.0646952
HKSAR	0.064469
"State Science and Technology Commission"	0.0642977
"Li Lanqing"	0.0642633
"Socialist Party"	0.0640814
"Chuan Leekpai"	0.0635606
"National Party Congress"	0.0634906
delegation	0.063244
"Ministry of Foreign Trade and Economic Cooperation"	0.0632265
"Jordanian King Abdullah Bin Hussein"	0.0632188
"South Pacific Forum"	0.0631596
"Wu Bangguo"	0.0627269
Excellency	0.0627012
Jiang	0.0622927
ACFTU	0.062255
"vice- chairman"	0.0620458
MPLA	0.0619582
"Pakistan Muslim League"	0.0612589
Councillor	0.061212
"Ministry of Information Industry"	0.0611571
"Prime Minister Banharn Silpa-Archa"	0.0609489
"Palestine Liberation Organization"	0.060925
Premier	0.0608636
"Ministry of Construction"	0.0608061
"Organization of African Unity"	0.0606424
"Arab League"	0.0603756
"Special Administrative Region"	0.0600556
"State Flood Control"	0.0599743
"Civil Aviation Administration of China"	0.0598617
"Than Shwe"	0.0594675
"State Planning Commission"	0.0589343
"Common Market for Eastern and Southern Africa"	0.0587579
OAU	0.0586162
"United Malays National Organization"	0.0585131
"Economic Community of West African States"	0.0585093
"Nepali Congress"	0.0584633
"Li Ruihuan"	0.0584129
"National Resistance Movement"	0.0583453
"Nawaz Sharif"	0.0583056
"Democratic Front"	0.0582992
FRELIMO	0.0581803
"National League for Democracy"	0.0579738
"Wang Zhongyu"	0.0579258
Politburo	0.0576666
"Kenya African National Union"	0.0576124
"Propaganda Department"	0.057475
federation	0.0574456
"Ninth CPPCC National Committee"	0.0574214
"Qiao Shi"	0.0574014
"Plenary Session"	0.0572392
"European Commission"	0.057235
vice-chairman	0.0570894
Clerides	0.0568302
"Information Office"	0.0568083
"Qian Qichen"	0.0567688
"Ministry of Personnel"	0.056766
"General Political Department"	0.0565986
"local government"	0.0563742
"Chavalit Yongchaiyudh"	0.0563629
"Ministry of Railways"	0.0562619
"Zou Jiahua"	0.0561497
"Ministry of Communications"	0.0559988
ASEAN	0.0559576
"Beijing Municipal Government"	0.0559441
PLA	0.0559109
"Ministry of Finance"	0.0558858
plenum	0.0558848
"Rio Group"	0.0558704
"United National Independence Party"	0.055526
"Presidential Office"	0.0555051
Vice-Premier	0.0553541
"National Democratic Party"	0.0553226
"Yoshiro Mori"	0.055258
"Inter-Parliamentary Union"	0.0552216
"State Administration of Cultural Heritage"	0.0549949
"Ministry of Public Health"	0.0549503
"Ministry of Education"	0.0549465
"Ninth NPC"	0.05457
Secretary-General	0.0543677
"Costas Simitis"	0.0543641
"Selection Committee"	0.0543374
"Kofi Annan"	0.0542875
"China Securities Regulatory Commission"	0.0542526
"Hong Kong SAR"	0.0541888
"Palestinian National Authority"	0.0541426
"United Nations Industrial Development Organization"	0.0541366
"Benazir Bhutto"	0.0540815
el-Ganzouri	0.0539888
legislature	0.0538716
"China National Tourism Administration"	0.0538532
"United Nations"	0.0538391
"Keizo Obuchi"	0.0534908
"President Kim Young-sam"	0.0532911
"Bharatiya Janata Party"	0.0531927
"New Korea Party"	0.0524802
Tung	0.0523998
Council	0.052327
"Ministry of Public Security"	0.0523168
"State Environmental Protection Administration"	0.0522457
"Chinese Academy of Sciences"	0.0521856
"Asian Football Confederation"	0.0521347
"President Hafez Al-Assad"	0.0521343
MOFTEC	0.0520759
"First Session"	0.0520591
"China Council"	0.0520103
"National Council of Churches"	0.0520071
"Deng Xiaoping"	0.051777
"Group of @@"	0.0516321
UNESCO	0.0515653
"President Kim Dae-jung"	0.0515405
"Wei Jianxing"	0.0514951
"Southern African Development Community"	0.0514887
APEC	0.0514373
CAS	0.0514356
"armed forces"	0.0511395
congratulation	0.0508779
"Sheikh Hasina"	0.0508761
"general assembly"	0.0507931
ACWF	0.0507137
"vice chairman"	0.0506597
"Binyamin Netanyahu"	0.0505642
))
("Communist Youth League of China" (desc 1815.85) (sims
CPV	0.126162
"Vietnamese Communist Party"	0.118263
"Chinese Communist Party"	0.112657
"Political Consultative Conference"	0.107904
"Communist Party of China"	0.106311
"All-China Federation"	0.102266
"National Defense"	0.0995726
"All-China Youth Federation"	0.0942736
"Palestinian National Council"	0.0896174
"Chinese Communist Party (CPC) Central Committee"	0.088148
"CPC Central Commission for Discipline Inspection"	0.0864995
"CPC Central Committee"	0.0843707
"Chinese People's Political Consultative Conference"	0.0808347
ACFTU	0.0798029
"Revolutionary Party"	0.0798001
"Chinese Communist Party Central Committee"	0.0785665
"Democratic Front"	0.0785642
CPC	0.0781668
"State Education Commission"	0.0765504
"Beijing Municipal Committee"	0.0761667
MPLA	0.0742201
"South African Communist Party"	0.0732461
CPPCC	0.0731321
"Ministry of Education"	0.0729484
"Operation Lifeline Sudan"	0.0726717
"Xinhua News Agency"	0.0724212
"Olympic Council of Asia"	0.0711576
"China Central Committee"	0.0711227
"Ministry of Supervision"	0.0705204
"Propaganda Department"	0.0694484
"CPPCC National Committee"	0.0656955
"American Association"	0.0654102
"State Economic and Trade Commission"	0.0653848
"Ministry of Personnel"	0.0644947
"Central Commission for Discipline Inspection"	0.062018
"Palestinian Liberation Organization"	0.0613418
"Families USA"	0.0599878
"Taiwan Affairs Office"	0.0587399
"Economic Cooperation"	0.058631
"World Church"	0.0577177
Histadrut	0.0573784
ACWF	0.0566619
"National Research Council"	0.0551455
"Red Cross Society"	0.054745
"Human Rights Campaign"	0.0544137
"Central Military Commission"	0.054168
"State Environmental Protection Administration"	0.0538191
"World Vision"	0.0536253
"United Front Work Department"	0.0532575
"Russian Communist Party"	0.0532094
"Log Cabin Republicans"	0.0531358
Oxfam	0.0531349
"State Peace and Development Council"	0.0526001
"Rainbow/PUSH Coalition"	0.0524707
Caritas	0.0522297
"National Council of La Raza"	0.0521357
"Party School"	0.0513949
ESCAP	0.0510281
"Economic Daily"	0.0505602
FRELIMO	0.0503298
Mensa	0.0502805
"Publicity Department"	0.0497831
"National Council of Churches"	0.0495371
"U.S. Administration"	0.0495068
Zanu-pf	0.0492384
"Council of Europe"	0.0490817
Kuomintang	0.0490159
"Falun Dafa"	0.0486461
"Donna Shalala"	0.0476967
"Mike Espy"	0.0474239
"Robert E. Rubin"	0.0471204
"China Central Television"	0.0469721
"National Academy of Sciences"	0.0459163
"Macao Affairs Office"	0.0450777
"Nahdlatul Ulama"	0.0450182
"American Association of Retired Persons"	0.0443933
"Huang Ju"	0.0443414
"Chinese Academy of Sciences"	0.0442311
AEC	0.0440434
GOPAC	0.0440134
"Congress Standing Committee"	0.0439555
"Ministry of Information Industry"	0.0433852
"Foreign Relations"	0.0432219
"International Rescue Committee"	0.0427352
"Ministry of Culture"	0.0426332
"West African States"	0.0425714
"State Bureau of Environmental Protection"	0.0424656
"Transparency International"	0.0424599
"Tin Oo"	0.0423974
"Department of Environment"	0.0423272
"Air Transport Association"	0.0422903
PCF	0.0422507
"Palestine National Council"	0.0421455
"Electronic Privacy Information Center"	0.0420477
"State Development Planning Commission"	0.0420248
"Social Affairs"	0.0420129
"Project Hope"	0.0420071
"Andrew Cuomo"	0.0419429
"Arab Parliamentary Union"	0.0419149
"Dan Glickman"	0.0418571
"Baath Party"	0.0418471
"Joint Military Commission"	0.0418104
"American Bar Association"	0.0416054
"Democratic Action"	0.0415849
CPF	0.0414838
"Party Central Committee"	0.0414383
"Ministry of Water Resources"	0.0413403
"Liberation Movement"	0.0412943
"National Resistance Movement"	0.041287
CCTV	0.0412422
"Organization Department"	0.0412288
SPP	0.0410902
CNOOC	0.0409849
"Violence Policy Center"	0.0406946
"Audubon Society"	0.0405157
OECD	0.0403002
"Democratic Leadership Council"	0.0402394
"Jia Qinglin"	0.0402043
"World Health Assembly"	0.0401556
"Hong Kong Trade Development Council"	0.0401026
"Central Council"	0.0400883
))
(community (desc 273876) (sims
society	0.189398
country	0.175007
people	0.174187
nation	0.167913
organization	0.161446
neighborhood	0.158468
family	0.157775
industry	0.154622
government	0.152478
group	0.151494
public	0.151424
region	0.151127
resident	0.149739
town	0.148732
state	0.148576
city	0.148545
"business community"	0.146183
area	0.143931
population	0.142972
world	0.142813
institution	0.137635
party	0.136505
village	0.134798
district	0.134485
church	0.131414
culture	0.131095
citizen	0.129785
minority	0.128355
voter	0.126801
farmer	0.126184
sector	0.125638
school	0.124751
business	0.124507
economy	0.123837
"United States"	0.12297
company	0.12131
consumer	0.121058
agency	0.120639
market	0.118998
circle	0.116603
authority	0.116118
America	0.114132
politician	0.112749
military	0.112705
county	0.112478
"political party"	0.112455
administration	0.112183
"United Nations"	0.112183
American	0.112081
"rural area"	0.111751
investor	0.111078
leader	0.110529
parent	0.110222
woman	0.109874
worker	0.109823
neighbor	0.109469
student	0.109208
China	0.109012
child	0.108898
"African country"	0.10873
tribe	0.108708
suburb	0.108406
individual	0.108234
audience	0.108025
life	0.10802
member	0.106807
Israel	0.106523
Europe	0.106331
"ethnic group"	0.106213
university	0.105556
Congress	0.105509
west	0.105487
employer	0.105432
environment	0.104577
official	0.104254
"local government"	0.103769
household	0.103646
media	0.103403
youth	0.103202
Arab	0.103022
system	0.10277
"school district"	0.102424
Africa	0.102141
Russia	0.102037
those	0.101794
department	0.101026
union	0.100755
enterprise	0.100616
NATO	0.100598
Palestinian	0.09974
movement	0.0994879
"Republican Party"	0.0993381
lawmaker	0.0992879
customer	0.0989648
province	0.0984884
Jew	0.0983901
"international organization"	0.0979305
everyone	0.0978838
program	0.0978302
congregation	0.0974579
us	0.0973595
home	0.0966622
them	0.096482
Republican	0.096458
"European Union"	0.0963368
donor	0.0962051
enclave	0.0956701
development	0.0948154
Israeli	0.0945782
force	0.0944444
activist	0.0942638
hospital	0.0940593
generation	0.0938958
leadership	0.0938784
bank	0.0938448
businessmen	0.0937178
majority	0.0935078
fan	0.0932998
many	0.0929857
"small town"	0.0929697
"armed forces"	0.0928058
corporation	0.0927323
side	0.0921912
police	0.0919345
"political leader"	0.0919314
"federal government"	0.0918315
center	0.0917491
U.S.	0.0916342
Democrat	0.0913362
U.N.	0.0912031
refugee	0.0909476
Iran	0.0905612
"Asian country"	0.0904831
EU	0.0904444
army	0.0903986
Chinese	0.0899766
others	0.0896061
firm	0.0895075
man	0.0893959
patient	0.0887705
employee	0.088657
Council	0.0885782
"European country"	0.0884414
Muslim	0.0881152
team	0.0880691
continent	0.0880455
politics	0.0880202
"public school"	0.0879798
christian	0.087938
house	0.0878111
Asia	0.0877941
environmentalist	0.0877675
Turkey	0.0877467
camp	0.0875607
Washington	0.0873934
constituent	0.0870668
"labor union"	0.0869499
Syria	0.0868141
ally	0.0867491
Pakistan	0.0867454
charity	0.0865853
immigrant	0.086189
association	0.0861468
building	0.0860942
"trade union"	0.0859445
municipality	0.0859302
"financial institution"	0.0858338
conservative	0.0856314
Catholic	0.0856156
project	0.0855245
black	0.0855081
Serbs	0.0854535
Iraq	0.0852923
all	0.085269
process	0.0852478
taxpayer	0.0851726
body	0.0851345
President	0.0851287
doctor	0.0850275
faction	0.0847345
sport	0.0846225
office	0.0845981
Albanian	0.0845599
owner	0.0845461
scientist	0.0845187
establishment	0.0844064
regulator	0.0843565
democracy	0.0841585
bloc	0.0840048
user	0.0838637
capital	0.0838426
villager	0.0838114
south	0.083811
"law enforcement"	0.0836394
legislator	0.083525
network	0.0832361
"police department"	0.0832072
Japan	0.08316
north	0.0828548
land	0.08277
))
("community center" (desc 14401.7) (sims
"North Valley Jewish Community Center"	0.213806
"Jewish Community Center"	0.169339
"day care center"	0.141076
"Wedgwood Baptist Church"	0.129317
"elementary school"	0.125111
"fire station"	0.12358
"office building"	0.121479
"Heritage High School"	0.120966
"shopping center"	0.119115
synagogue	0.118758
"day camp"	0.116743
mosque	0.104554
"Columbine High School"	0.103877
clinic	0.103868
gymnasiums	0.103029
"shopping mall"	0.102892
"high school"	0.102681
"post office"	0.102378
library	0.10097
dispensary	0.100514
church	0.100469
"amusement park"	0.0986697
gymnasium	0.097697
gym	0.0962512
"conference center"	0.0958767
"police station"	0.0947957
cafeteria	0.0931587
"grocery store"	0.0924596
"funeral home"	0.0921722
"movie theater"	0.0915211
"apartment building"	0.0903786
hotel	0.0898603
hospital	0.0891019
auditorium	0.0884873
orphanage	0.0881149
restaurant	0.087297
museum	0.0870272
"town hall"	0.0868196
hall	0.0862985
"house of worship"	0.0862612
"coffee shop"	0.0860466
firehouse	0.0856839
temple	0.0855914
"military installation"	0.0849426
mall	0.0840444
shelter	0.0840234
motel	0.083412
"Hilton Hotel"	0.0832204
supermarket	0.0830984
classroom	0.0823854
shop	0.0820927
theater	0.0814772
"art gallery"	0.081393
"public school"	0.0813835
complex	0.0813063
nightclub	0.0809608
cafe	0.0804446
playground	0.0802615
dormitory	0.0798747
barrack	0.0795641
schoolyard	0.0794469
"nursing home"	0.0793059
"gas station"	0.0787243
cemetery	0.0786512
"summer camp"	0.0785764
Warehouse	0.0783753
"entertainment center"	0.0778362
"abortion clinic"	0.0774713
"middle school"	0.0773786
"private school"	0.0769547
Columbine	0.0769279
hospice	0.0768865
facility	0.0761983
"medical center"	0.0760823
residence	0.0760404
courthouse	0.0757663
"botanical garden"	0.0757209
"bowling alley"	0.0751975
tavern	0.0748217
"recreational facility"	0.0748025
pub	0.0744555
"community college"	0.0743034
chapel	0.0736859
"civic center"	0.0733075
"Columbine High"	0.0731609
"convenience store"	0.0728384
"soup kitchen"	0.0723217
bookstore	0.0720709
seminary	0.0719524
parlor	0.0719184
"primary school"	0.0718989
apartment	0.0718646
"tea house"	0.071437
hostel	0.0708402
ballroom	0.0706097
"dance hall"	0.0701291
"swimming pool"	0.070061
"city hall"	0.0698394
drugstore	0.0697928
plaza	0.0697668
stadium	0.0696088
"railway station"	0.0694745
"department store"	0.0694242
amphitheater	0.0692731
garage	0.0691916
fairground	0.0691106
mansion	0.0690375
headquarter	0.0681433
"housing development"	0.0678235
"ball field"	0.0677458
"liquor store"	0.0670336
"U.S. Capitol"	0.066985
nursery	0.066807
"country club"	0.0667741
bakery	0.0665691
"Christian church"	0.0663443
"research center"	0.0662796
shrine	0.0662588
"Catholic school"	0.0662533
"apartment house"	0.0660762
morgue	0.066029
"sports arena"	0.0658796
disco	0.0658335
"recreation room"	0.0655786
Monastery	0.0653619
Bathhouse	0.0652942
embassy	0.0649946
aquarium	0.0640187
saloon	0.0640122
"parking lot"	0.0639568
studio	0.0639316
"place of worship"	0.0638168
Capitol	0.0637451
sanctuary	0.0635425
Convent	0.0632253
dealership	0.0629555
charity	0.0629319
"movie house"	0.0628272
Casino	0.0627078
Pharmacy	0.0625477
resort	0.0625383
"National Zoo"	0.0624821
factory	0.0624762
SPA	0.0624654
"bus stop"	0.062325
YMCA	0.0623036
"golf course"	0.062303
"ice rink"	0.0622845
"general store"	0.0622521
coffeehouse	0.0622025
salon	0.0621907
preschool	0.0621315
"industrial park"	0.0619422
neighborhood	0.061764
"toy store"	0.0617218
"reading room"	0.0617005
"exhibition hall"	0.0616875
hangar	0.0616719
cinema	0.0614861
"recording studio"	0.0613266
infirmary	0.0611749
palace	0.0611618
"vocational school"	0.0610911
schoolhouse	0.0610693
Marina	0.060986
"concert hall"	0.0609033
"Museum of Contemporary Art"	0.0604419
"nursery school"	0.0604293
"hardware store"	0.0603355
"first school"	0.0600433
inn	0.0600338
"polling station"	0.0600282
campus	0.059976
"tennis court"	0.0598921
boutique	0.0598816
parish	0.0598768
"educational institution"	0.0597558
"railroad station"	0.0590066
Littleton	0.0587702
zoo	0.0587144
delicatessen	0.05868
Cathedral	0.0583965
"psychiatric hospital"	0.0583364
jail	0.0583054
"Sheraton Hotel"	0.0582871
lounge	0.0582048
"dining room"	0.0580633
"U.S. Embassy"	0.0578096
"foster home"	0.0577621
crematorium	0.0577435
showroom	0.0576714
Jonesboro	0.057569
consulate	0.0575293
"bus station"	0.0575
laboratory	0.0574151
"conference room"	0.0573405
"military hospital"	0.0571273
"repair shop"	0.0568936
"law practice"	0.0567889
spas	0.0567342
))
("community college" (desc 8842.63) (sims
"junior college"	0.182309
"vocational school"	0.162093
"technical school"	0.15347
polytechnic	0.148241
"secondary school"	0.148194
"private school"	0.133534
College	0.132843
"middle school"	0.131399
"religious school"	0.124875
"Brigham Young University"	0.124611
"Harvard Business School"	0.123201
"prep school"	0.122662
seminary	0.122302
Juilliard	0.120676
"Juilliard School"	0.120347
university	0.120159
"business school"	0.117114
"Catholic school"	0.11426
conservatory	0.114223
"public school"	0.11359
"Harvard Law School"	0.113437
"State University of New York"	0.112606
"medical school"	0.112508
"City College"	0.112244
"art school"	0.112153
"elementary school"	0.111433
"law school"	0.109807
"junior high school"	0.109104
"Syracuse University"	0.1091
"New York University"	0.108362
yeshiva	0.104763
"primary school"	0.104389
"Howard University"	0.103617
"University of Texas"	0.103223
"graduate school"	0.102936
"air force academy"	0.102898
"Texas Christian University"	0.102332
"high school"	0.10189
"Massachusetts Institute of Technology"	0.100525
"parochial school"	0.0998568
"Georgetown University"	0.0990307
"training school"	0.0978205
"Northwestern University"	0.0977631
"military academy"	0.0975636
"Georgia State University"	0.0971375
institute	0.0970329
"University of Southern California"	0.0969421
"UC Berkeley"	0.096151
"Dartmouth College"	0.0958045
"London School of Economics"	0.0956993
"California State University"	0.0950092
Sorbonne	0.0943581
"Qinghua University"	0.0943468
"Brown University"	0.0943259
Princeton	0.0942537
"Columbia University"	0.0940601
"University of Massachusetts"	0.0940383
"Iowa State University"	0.0939509
"University of Utah"	0.0923094
"city university"	0.0919319
"naval academy"	0.0918736
"Williams College"	0.0911088
"Smith College"	0.0908592
"Brandeis University"	0.0905714
Yale	0.0903145
"Yale Law School"	0.0895097
"Vanderbilt University"	0.0894857
"Harvard University"	0.0892299
"Rice University"	0.0892066
"University of Georgia"	0.0885312
Dartmouth	0.088382
Brandeis	0.0883133
"San Francisco State University"	0.0878924
UGA	0.0876894
"University of California"	0.0865706
"University of New Mexico"	0.0864853
"West Point"	0.0864593
"Northeastern University"	0.0864098
"American University"	0.0861519
"Trinity College"	0.0861189
academy	0.0860843
"University of Iowa"	0.0858612
"University of Kansas"	0.0856977
"University of Kentucky"	0.0852781
"Yale university"	0.0847495
"Baylor University"	0.0843514
"Ohio State University"	0.0841291
YMCA	0.0837019
"teachers college"	0.0834498
"University of Colorado"	0.0829183
"Queens College"	0.0821459
"University of Florida"	0.0820514
"boarding school"	0.0820049
"Michigan State University"	0.0817846
"school district"	0.0817181
"Peking University"	0.0815839
"Cambridge University"	0.0812367
"police academy"	0.0812117
"senior high school"	0.0810817
MIT	0.0806615
"University of Dayton"	0.0803121
"Stanford University"	0.0801717
"Washington University"	0.0800527
kindergarten	0.0800482
"Princeton University"	0.0798286
"Emory University"	0.0797135
"University of Maryland"	0.0796452
"Indiana University"	0.0794279
Harvard	0.0792626
"City University of New York"	0.0791362
"University of Wisconsin"	0.0791114
UMKC	0.0789
"educational institution"	0.0787737
"Boston University"	0.0787053
"Kennedy School"	0.0784858
"Catholic University"	0.0780562
"University of Mississippi"	0.0771875
"University of New Hampshire"	0.0771051
"University of Chicago"	0.0768541
"Hunter College"	0.0766676
"Boston College"	0.0762804
"Cornell University"	0.0761977
"Louisiana State University"	0.0761884
"Arizona State University"	0.0761498
"college level"	0.0755515
"school of music"	0.0753126
"junior high"	0.0753103
Cornell	0.0749134
"University of Washington"	0.074689
"George Washington University"	0.0744945
"University of Illinois"	0.0744118
"community center"	0.0743034
UNAM	0.0742658
NYU	0.0741527
"Oxford University"	0.0736038
"Bob Jones University"	0.0730341
"University of Houston"	0.0726106
"University of Arizona"	0.072596
UMass	0.0723992
"nursery school"	0.0721854
"medical center"	0.0720683
Emory	0.0720087
"Duke University"	0.0718464
"University of Alabama"	0.0716143
"Rutgers University"	0.0713074
"Georgia Tech"	0.0710897
"Seton Hall University"	0.0708829
"University of Virginia"	0.0707519
"Beijing University"	0.0705322
"University of South Carolina"	0.070505
"University of Oklahoma"	0.0703982
"University of Zimbabwe"	0.0702464
"higher education"	0.0698794
"University of Notre Dame"	0.0698067
"Wesleyan University"	0.0696644
"University of North Carolina"	0.0695845
UT	0.0695388
Oxford	0.0693145
Eton	0.0688002
"University of Arkansas"	0.0687066
"Zhongshan University"	0.0686203
"summer camp"	0.0681452
"University of Missouri"	0.0670292
"University of Michigan"	0.0670006
clinic	0.0668608
"Medicare HMOs"	0.0666226
"University of Toronto"	0.0666177
"University of Tennessee"	0.0665327
"University of Cincinnati"	0.0663669
highschool	0.0662989
"Harvard College"	0.0659843
"Nanjing University"	0.0656321
Stanford	0.0655613
"University of Oregon"	0.0655368
"North Carolina State University"	0.0646321
"University of Wyoming"	0.0645366
"University of Nebraska"	0.0643887
"University of Minnesota"	0.0643411
"Tehran University"	0.0641768
Vassar	0.0640132
"adult education"	0.0640093
"Ivy League"	0.06395
hospice	0.0638345
preschool	0.0637249
"Southern Methodist University"	0.063707
"grammar school"	0.0634831
"Fordham University"	0.0634339
CUNY	0.0634217
"Purdue University"	0.0628418
"Fudan University"	0.0627042
"Temple University"	0.062196
"day camp"	0.0618689
Qinghua	0.0617522
"nursing home"	0.0617263
"University of Pittsburgh"	0.061697
"grade school"	0.0615332
nursing	0.0614776
"University of Pennsylvania"	0.0614696
"liberal arts"	0.0614323
"Harvard Medical School"	0.0612534
))
("community newspaper" (desc 1758.37) (sims
Enquirer	0.0905399
"National Enquirer"	0.0875073
Litton	0.078927
"Orange County Register"	0.0786807
"shoe store"	0.0784927
"Chronicle Publishing"	0.0774227
"minor-league team"	0.0763513
"New York Observer"	0.0749167
FPL	0.0730701
"San Jose Mercury News"	0.0730169
Belo	0.0729929
"Wear Daily"	0.0718707
Fairchild	0.0706434
GAAF	0.0706262
McKesson	0.0699397
"test equipment"	0.0680994
"jewelry store"	0.0676378
Concordes	0.0676289
TELLABS	0.0675692
"publishing company"	0.0672595
TYCO	0.0665846
"GE Capital"	0.0665483
Media-MOST	0.0665427
Healtheon/WebMD	0.0660864
"newspaper publisher"	0.0657864
"subsidiary company"	0.0656279
"computer business"	0.0649034
GANNETT	0.0647132
"Koha Ditore"	0.0646927
REPSOL	0.0643882
"Hearst Corp."	0.0642645
periodical	0.0640881
"building product"	0.0640644
sub-projects	0.063578
Aegon	0.0633074
"butcher shop"	0.0631655
"consumer product"	0.0629617
"Kraft Foods"	0.0625558
"TV guide"	0.0625508
"flour mill"	0.0625282
"Mather Worldwide"	0.0620195
"No. @s"	0.0619715
"retail chain"	0.0616566
Starwood	0.0616053
great-grandchildren	0.0612049
Berkshire	0.0609665
"trading post"	0.0605958
"RJR Nabisco"	0.0604309
microfilm	0.0598737
"hardware store"	0.0598632
bottlers	0.0598039
"media property"	0.0597267
EDS	0.0596385
Quokka	0.059162
"thermonuclear warhead"	0.0590244
"specialty store"	0.0587938
"Times Co."	0.0579667
"Consumer Reports"	0.0575037
"Weekly Standard"	0.057251
"Detroit News"	0.0570691
distributorship	0.0570012
"gold miner"	0.0565325
iXL	0.0563619
Daimler-Benz	0.0562507
"National Grid"	0.0562077
"TV station"	0.0561635
grocer	0.0561594
"school girl"	0.055956
Commerzbank	0.0558549
WPP	0.0554673
"retail store"	0.0552069
AIG	0.0552031
Uunet	0.0550563
bogy	0.054959
"race horse"	0.0549337
"newspaper editor"	0.0549056
Bertelsmann	0.0548337
HBOC	0.0548092
shopkeeper	0.0547891
no-decisions	0.0547723
Picassos	0.0547466
"New York Herald Tribune"	0.0547026
COLTEC	0.054322
Steakhouse	0.0542674
"Times Mirror"	0.0542585
"furniture company"	0.0540205
"Conde Nast"	0.0539287
"Time Inc."	0.0538266
Itogi	0.0537669
REIT	0.0537102
Westinghouse	0.0533277
Pillars	0.0533196
NiSource	0.0532177
Alcan	0.0531007
NTT	0.0529829
Travelocity	0.0529166
"Sporting News"	0.052701
Publicis	0.0525956
"trucking company"	0.0524485
Ebbers	0.0522996
Cendant	0.0522973
"carriage house"	0.0521818
"truck stop"	0.0520544
"Christian church"	0.0518916
"Baby Bells"	0.0518847
EMC	0.0517336
"British Petroleum"	0.0517098
dot-coms	0.0517086
delicatessen	0.0516487
"resort hotel"	0.0516444
IDT	0.0514669
Autodesk	0.0513684
"Park Place"	0.051338
Pillsbury	0.0513018
Cablevision	0.0512847
"Ryder Cups"	0.0512276
timberland	0.0512126
Primedia	0.0510596
Searle	0.0510219
"clothing store"	0.050962
"minority shareholder"	0.0508476
Tintin	0.0507747
"electronics company"	0.0507502
XYLAN	0.0506893
"Final Fours"	0.0506861
carmakers	0.0506492
"News Corp."	0.0505886
drugstore	0.050522
"travel agency"	0.0504799
sawmill	0.0501377
"newspaper ad"	0.050136
"toy store"	0.050122
Federated	0.0500761
"New Republic"	0.0500002
"minority interest"	0.0498841
Alltel	0.0498645
Norwest	0.0496745
"Medicare HMO"	0.0496121
tribune	0.049605
Georgia-Pacific	0.0495594
Echostar	0.0495119
"parcel of land"	0.0494797
Broadcom	0.0494703
Milstein	0.0493376
tannery	0.0493298
"funeral home"	0.0492848
speakeasy	0.0492547
"ad agency"	0.0492314
Tropicana	0.049167
"gasoline station"	0.0491461
"William Randolph Hearst"	0.0487342
"Philadelphia Inquirer"	0.0486564
Pearson	0.0486545
"National Journal"	0.0486197
"billion yuan"	0.0485338
WordPerfect	0.0484281
Scripps	0.0483359
racehorse	0.0483108
ZIFF-DAVIS	0.0482473
Icahn	0.0480692
Harrods	0.0480623
AWACS	0.0480232
"major-league team"	0.0479554
Olmsted	0.0479043
Conoco	0.0477971
VENATOR	0.0477777
"yellow pages"	0.0477198
upperclassmen	0.0477117
"art school"	0.0476673
chaebol	0.0476425
co-op	0.0475882
Mattel	0.0473802
"Learning Co."	0.0473743
HarperCollins	0.0472083
"beauty salon"	0.0471666
"medical specialist"	0.0471091
"repair shop"	0.0469885
"weather station"	0.0469454
"specialty chemical"	0.0469447
BSKyB	0.0468727
Copt	0.0467607
bottler	0.0466736
hypermarket	0.0465933
"auto company"	0.0465878
"Fast Company"	0.0465489
HSBC	0.0464999
HKMA	0.0464389
thoroughbred	0.0464132
bookshop	0.0463653
AMR	0.0462979
horoscope	0.0462259
"employment agency"	0.0460295
"combat mission"	0.0459772
"St. Louis Post-Dispatch"	0.0459644
McGraw-Hill	0.0459561
"passenger car"	0.0459034
"security consultant"	0.0458981
"scientific instrument"	0.0458641
WorldCom	0.0458445
"Miramax Films"	0.0457235
))
("community organizer" (desc 1232.86) (sims
laymen	0.0995386
"divorce lawyer"	0.0864875
laity	0.0830376
provocateur	0.0830193
"legal guardian"	0.0755869
offal	0.0724687
clergy	0.0665915
criminologists	0.065023
businesspeople	0.0647429
lexicographer	0.0636981
educationist	0.0634041
"business executive"	0.0616975
seamstress	0.0610931
paralegal	0.0606859
"legal expert"	0.0606193
"civic leader"	0.0589901
clergymen	0.0584523
notary	0.0584302
"union representative"	0.0577393
"press agent"	0.0574561
librarian	0.0573369
"TV reporter"	0.0566522
"literary agent"	0.0565191
"management consultant"	0.0556768
"health professional"	0.0555215
ethicists	0.0552298
scriptwriter	0.0551553
forester	0.0550955
"department head"	0.0543143
"guitar player"	0.0537788
VCs	0.0536939
theoretician	0.0536133
preservationist	0.053395
"ballet dancer"	0.0531332
botanist	0.0530902
helper	0.052955
policymakers	0.0523307
QBs	0.0523025
"government officials"	0.0518468
"stay of execution"	0.0514979
"private detective"	0.051112
sportswriter	0.0505501
copout	0.0503534
"certified public accountant"	0.0503106
"stage director"	0.0501004
"film maker"	0.049595
theologian	0.0495136
vagabond	0.0494822
"robbery suspect"	0.0493739
seminarian	0.0492519
Pol	0.0491853
"faculty member"	0.0485809
"power of attorney"	0.0484094
"church member"	0.0482152
"administrative official"	0.0481386
statesmen	0.0481056
"service agency"	0.0469036
cabinetmaker	0.0462207
sportscaster	0.0462111
"Larry Whigham"	0.0461257
"baseball coach"	0.0460988
"Gregory Craig"	0.0460966
battler	0.0460905
"physical therapist"	0.0458935
"Wall Street analyst"	0.0458486
"newspaper editor"	0.0458012
"stamp collector"	0.0456971
"Amnuay Virawan"	0.0456638
"hockey coach"	0.0455359
organist	0.0455186
Snapple	0.0454736
"brigadier general"	0.0451918
linesman	0.0451867
"surface ship"	0.0450297
Realtor	0.0448681
"heart surgeon"	0.0448418
"George Tenet"	0.0445749
"medical institution"	0.0441416
"corporate executive"	0.0440226
barrister	0.0439862
handicapper	0.0439489
capacity-building	0.0439221
"insurance agent"	0.0437
"rock climber"	0.043547
litigant	0.0434358
taskmaster	0.0432762
"campaign worker"	0.0432562
psychotherapist	0.0431627
gatherer	0.0431316
accompanist	0.0429575
"stage manager"	0.0429459
"trade unionist"	0.0428375
"CPC Central Commission for Discipline Inspection"	0.0428192
"bird watcher"	0.042794
alderman	0.0427204
"Richard Blumenthal"	0.0426288
Bettman	0.0425252
"National Security Adviser Sandy Berger"	0.0424591
"drama critic"	0.0423548
newspaperman	0.0422259
photojournalist	0.0421448
"computer expert"	0.041952
"state senator"	0.0418904
"funeral director"	0.0417172
academician	0.0416969
"John Podesta"	0.0415925
keyboardist	0.0415476
"deputy sheriff"	0.0415076
"mechanical device"	0.0414937
"disk jockey"	0.0410991
"real estate broker"	0.0410727
mafioso	0.0407547
complainant	0.0403669
skydiver	0.0402963
ethicist	0.040102
))
("Community Reinvestment Act" (desc 2166.07) (sims
"Telecommunications Act"	0.201347
"Civil Rights Act"	0.196843
"Voting Rights Act"	0.182074
"Clean Air Act"	0.179012
"Clean Water Act"	0.16904
"Helms-Burton Act"	0.138399
"Endangered Species Act"	0.130279
CRA	0.129704
"Lusaka Protocol"	0.128357
"Title IX"	0.127751
"U.N. Resolution @@@"	0.110257
"antitrust law"	0.110192
"bankruptcy law"	0.108489
"Balanced Budget Act"	0.107026
Helms-Burton	0.106722
"Disabilities Act"	0.0997545
Ada	0.0994845
"Geneva convention"	0.0975365
"building code"	0.0963498
"Montreal Protocol"	0.0942709
"Kyoto Protocol"	0.0903172
statute	0.0895459
Ordinance	0.086905
Shariah	0.0868004
VFA	0.0830367
"criminal law"	0.0826814
Sharia	0.0819649
"Vienna Convention"	0.0794842
NAFTA	0.0793717
Shays-Meehan	0.0782375
"Lusaka Peace Accord"	0.0767728
workfare	0.0764338
"Proposition @@"	0.0750574
"Criminal Procedure Law"	0.0737682
"rating system"	0.073509
zoning	0.073352
"Resolution @@@"	0.0733443
"organic law"	0.0731575
"First Amendment"	0.0726422
"counsel law"	0.0723734
"North American Free Trade Agreement"	0.0722154
"rule of evidence"	0.0719782
reinvestment	0.0719688
"commercial law"	0.0690559
"ABM Treaty"	0.0685187
"Proposition @"	0.0681926
"safety standard"	0.0681064
"current system"	0.0676697
"Bill of Rights"	0.0669429
"entitlement program"	0.066427
"tax bill"	0.0656799
"Anti-Ballistic Missile Treaty"	0.0647277
"Proposition @@@"	0.0638016
"welfare state"	0.0633608
directive	0.062206
"penal code"	0.0616832
"Antiquities Act"	0.0616682
"trade agreement"	0.0612146
"poison pill"	0.0606042
"bank withdrawal"	0.0604412
ERISA	0.0603362
"gun control"	0.0599565
"tax change"	0.059729
"trade bill"	0.0596538
PNTR	0.059153
NMD	0.0591491
ABM	0.0589294
fingerprinting	0.0582223
Wye	0.0581705
GST	0.0576159
"maritime law"	0.0575735
"Title VII"	0.0574098
"background check"	0.0569202
"International Covenant"	0.0567396
"Chemical Weapons Convention"	0.0558241
"labor contract"	0.0555875
"U.N. Security Council Resolution @@@"	0.0553445
"code of conduct"	0.0553092
"U.N. Charter"	0.0553079
CITES	0.0551611
"pork barrel"	0.0546979
"Basic Law"	0.0546512
bylaw	0.0542446
"Resolution @@@@"	0.0542186
"civil law"	0.0538217
notification	0.0536879
forfeiture	0.0527853
"benefit program"	0.0527533
"Kenyan shilling"	0.0519382
"Comprehensive Test Ban Treaty"	0.0518016
"trade embargo"	0.0511959
"patent right"	0.0511651
lockbox	0.051079
GSP	0.0509778
"internal control"	0.0501667
Spring/Summer	0.0501578
"Maastricht Treaty"	0.0500969
"Article @@"	0.0498848
covenant	0.0498156
"fire wall"	0.049716
"Oslo Accord"	0.0493209
telemedicine	0.0491898
"Health Insurance Program"	0.0491471
"Los Angeles City Council"	0.0490335
"trade policy"	0.0490017
CTBT	0.0489081
cohesion	0.0487944
"Section @@@"	0.0486964
"U.S. Constitution"	0.0482883
federalism	0.0482594
"inheritance tax"	0.0481818
"Uruguay Round"	0.0478904
Miranda	0.0478188
"Macao Basic Law"	0.0477581
Teledesic	0.0477221
ethanol	0.0475908
"common law"	0.0473571
"Fourth Amendment"	0.0472918
OSHA	0.0470912
AFTA	0.0470899
"Second Amendment"	0.0469718
"morse code"	0.0468539
reciprocity	0.0466811
"Nationality Law"	0.0464696
"estate tax"	0.0464543
solvency	0.0464132
self-discipline	0.0462358
"Philippine Central Bank"	0.0462123
"Heavily Indebted Poor Countries"	0.0461089
"military capability"	0.045968
self-regulation	0.0458271
"United Nations Convention"	0.045785
tort	0.0457257
confidentiality	0.0455274
"Occupational Safety and Health Administration"	0.0454498
"death tax"	0.0453847
"T cell"	0.0452964
GPA	0.0452405
secularism	0.0450293
"Article @"	0.0450079
"civil rights"	0.0449823
"arms control"	0.0447609
"Oslo Accords"	0.0444636
"tax system"	0.0444005
"Winning Colors"	0.0443685
"Sino-Portuguese Joint Declaration"	0.0443402
"Plan Colombia"	0.0443131
"rehabilitation program"	0.0442116
Eurobond	0.0441602
"quota system"	0.0441261
"NL Rookie"	0.0439185
"freedom of the press"	0.0438877
"four key"	0.0434941
inspectorate	0.0433987
"equal opportunity"	0.043355
Clinton-Lewinsky	0.0432639
"tax policy"	0.0431686
"Category @"	0.0430973
"Consumer Product Safety Commission"	0.043092
"tax collection"	0.0430109
"Police Commission"	0.0428499
CWC	0.0428412
"tax increase"	0.0426935
"U.N. Convention"	0.0426449
"Health Care Financing Administration"	0.0425767
"highway system"	0.0424656
goalpost	0.0424029
"due process"	0.0423813
nonproliferation	0.0422374
"civil liberty"	0.0421614
"international criminal court"	0.0419335
"military position"	0.0418113
"sea lane"	0.0416377
"Stability Pact"	0.0415135
"Northern Territory"	0.0414321
"finding of fact"	0.0411288
"family planning"	0.041126
"Joint Declaration"	0.0410055
"START II"	0.0410048
AZT	0.0410041
oil-for-food	0.0408676
"Big Dig"	0.0407995
"Hong Kong dollar"	0.0406486
"retail operation"	0.0406084
"educational activity"	0.0404709
"investment climate"	0.0404682
"incentive program"	0.0403687
"freedom of speech"	0.0403244
"UN Security Council"	0.0403105
ordination	0.0402778
"competitive advantage"	0.0402205
edict	0.0401971
deterrence	0.0401747
goverment	0.0401475
"labor movement"	0.0401134
"Pan Am"	0.0400313
))
(commutation (desc 3390.87) (sims
pardon	0.183249
clemency	0.176076
disbarment	0.135247
reprieve	0.128613
"stay of execution"	0.122034
leniency	0.119117
parole	0.118583
"summary judgment"	0.111761
reinstatement	0.105865
rehearing	0.096237
reconsideration	0.0944678
amnesty	0.0875947
extradition	0.0716047
asylum	0.0712461
postponement	0.0702328
continuance	0.0680917
visitation	0.0659521
remand	0.0636315
revocation	0.0635103
probation	0.0629544
naturalization	0.0626057
accreditation	0.0610364
MFN	0.0604717
abolition	0.0595601
lifting	0.0583351
mistrial	0.0574236
forgiveness	0.0569049
fast-track	0.0568139
injunction	0.0560653
"building permit"	0.0558536
abolishment	0.0557304
dissolution	0.0549487
rescheduling	0.0542199
guardianship	0.0539505
waiver	0.0535749
reappointment	0.0528798
deferral	0.0525006
annulment	0.0514585
remission	0.0511369
"name change"	0.0509116
imposition	0.0508628
renomination	0.0504854
certification	0.050074
deferment	0.0497394
"fishing license"	0.049439
"compromise plan"	0.0489112
absolution	0.0488784
retrial	0.0485044
"hush money"	0.048174
wiretap	0.0471723
"murder conviction"	0.0470429
writ	0.0469629
ordination	0.0460406
candidature	0.0458206
renaming	0.0455153
fatwa	0.0455136
indulgence	0.0449876
"wage increase"	0.044604
alimony	0.0444558
"search warrant"	0.0444095
restitution	0.0443902
suffrage	0.0443624
PNTR	0.0440089
residency	0.0439223
NTR	0.0432514
clarification	0.0430938
"work permit"	0.0430209
reparation	0.042557
assistances	0.0422321
legalization	0.0419285
"marriage license"	0.0418887
"rate hike"	0.0415446
"absentee ballot"	0.0414153
ratification	0.0410446
readmission	0.0408667
NLRB	0.0406832
severance	0.0405023
activation	0.0404896
sending	0.0403835
reintroduction	0.0401633
))
(commute (desc 1036.6) (sims
redeye	0.0760289
hyperlinks	0.0744956
"business processe"	0.071487
"fresh food"	0.0713775
SIESTA	0.0690901
thatch	0.0672807
disincentive	0.0667015
committment	0.0666027
commuting	0.0655521
"boarding pass"	0.0631718
"World Vision"	0.0547113
Ouattara	0.0546661
"Bel Air"	0.0529677
daycare	0.0526366
"public speaking"	0.0525383
sidelight	0.0524587
"civic duty"	0.0523817
dependability	0.052147
"Stone Mountain"	0.0512294
"another seven"	0.0504793
Beretta	0.0502206
heckling	0.0495987
"long-distance call"	0.0489964
"Hyatt Regency"	0.0488518
tradeoff	0.0487712
"Cherry Hill"	0.0486849
first-rounder	0.0482262
"Aum Shinrikyo"	0.0481188
"Bud Light"	0.0479983
"Warren County"	0.0478483
"East Los Angeles"	0.0476522
"Pacific Palisades"	0.047628
"cash crunch"	0.0475266
forman	0.0474472
Reseda	0.0472946
"hundred miles"	0.0472767
"financial obligation"	0.0471037
speller	0.0467648
"Boynton Beach"	0.0467452
telomeres	0.0464831
"free time"	0.0462194
Truancy	0.0461226
leprosy	0.0460437
"reaction time"	0.0457315
"one of the boys"	0.045643
"Hollywood Hills"	0.0455744
Metreon	0.0454197
detoxification	0.0453934
Princeville	0.0453864
respiration	0.0449307
"hepatitis A"	0.0448572
cross-pollination	0.0446695
"Newport Beach"	0.0443016
"Western Union"	0.0441935
CAA	0.0435051
HHS	0.0433496
"fire sale"	0.0432637
"South End"	0.0432588
counteroffer	0.0431082
"Gwinnett County"	0.042676
usability	0.0426664
ILGO	0.0426403
"Battery Park City"	0.0422524
"financial loss"	0.04225
"Belmont Learning Center"	0.0421668
"Grand Junction"	0.0420787
airfare	0.0420296
"North Shore"	0.0418772
Alpharetta	0.0418196
"nonstop flight"	0.0415406
Raoux	0.0413931
"sales pitch"	0.0413104
"retail operation"	0.0412314
"entrance fee"	0.0411369
"Human Immunodeficiency Virus"	0.0410887
CCF	0.0409998
Encino	0.0409728
"data file"	0.040929
inhibition	0.040901
Fiedler	0.0408289
"North Africans"	0.0407479
rebuilt	0.0407448
"venereal disease"	0.0407265
tedium	0.0406079
triage	0.0406045
"Mission Viejo"	0.0405741
"supply line"	0.0403806
"vocational education"	0.040031
))
(commuter (desc 23521.6) (sims
traveler	0.145043
passenger	0.143842
motorist	0.141073
tourist	0.131659
shopper	0.11752
vacationer	0.117173
pedestrian	0.112445
resident	0.107893
"business traveler"	0.107472
pilgrim	0.103762
visitor	0.10134
reveler	0.099432
schoolchildren	0.0989421
homeowner	0.0985103
migrant	0.096559
retiree	0.0956185
worker	0.0944618
hiker	0.094296
firefighters	0.0924565
mourner	0.0918577
onlooker	0.0918179
consumer	0.0892767
spectator	0.0882373
trucker	0.0880996
customer	0.0877659
"commuter train"	0.0875658
refugee	0.086328
traffic	0.0862474
farmer	0.0854647
rider	0.0846429
conventioneer	0.0844164
"college student"	0.0831141
marcher	0.0813348
driver	0.0806531
well-wisher	0.0805043
worshipper	0.0803979
freight	0.0802912
user	0.0797218
Beijingers	0.0794439
holidaymaker	0.0794134
merchant	0.0790579
villager	0.0790388
traveller	0.0788309
foreigner	0.0786689
taxpayer	0.0778059
student	0.0773288
citizen	0.0772485
employee	0.076936
subscriber	0.0768476
surfer	0.0765722
"senior citizen"	0.0765395
bus	0.0758299
dweller	0.0757202
moviegoer	0.0754848
"union member"	0.0747326
immigrant	0.0746581
businessmen	0.0739493
camper	0.0737394
listener	0.0737179
"Sri Lankans"	0.073569
"home buyer"	0.0733596
commuting	0.073106
"bus driver"	0.0725143
worshiper	0.0722802
Haitian	0.0721979
"military personnel"	0.0721101
expatriate	0.071559
passers-by	0.0715431
Fishermen	0.0711083
"property owner"	0.0709626
laborer	0.0709531
evacuee	0.0706685
trader	0.0706301
shipper	0.070491
youngster	0.0704757
"farm worker"	0.0704636
miner	0.0703843
Kosovars	0.0699535
firemen	0.0698923
boater	0.0698118
skier	0.0698034
truck	0.0697891
homeless	0.0696713
teen-ager	0.0692605
demonstrator	0.0690782
fan	0.0688981
Reader	0.0688607
patron	0.0687671
civilian	0.0685771
inhabitant	0.0685254
sightseer	0.0683615
Tram	0.0681526
theatergoer	0.0681275
trolley	0.0680978
investor	0.0679887
illegals	0.0679161
"police officer"	0.0679013
journalist	0.0677955
businesspeople	0.0673828
viewer	0.0669885
"sports fan"	0.0669698
enrollee	0.0669502
Atlantans	0.0668927
Filipino	0.0668267
motorcyclists	0.0666631
"New Yorker"	0.0666191
rescuer	0.0664971
Bosnians	0.0664873
"truck driver"	0.0664697
pensioner	0.066458
teens	0.0664254
Eritrean	0.0663466
settler	0.0661985
parishioner	0.0660503
diner	0.0660277
"passenger train"	0.0659043
taxi	0.0659019
"temporary worker"	0.0658439
volunteer	0.0657323
inmate	0.0654747
Liberian	0.0653947
"married couple"	0.0653086
guest	0.0653063
protester	0.0652193
pupil	0.0650186
Mexican	0.0648525
policemen	0.064766
employer	0.064725
household	0.0646968
cargo	0.0646823
peasant	0.0646287
passersby	0.0645241
"motor vehicle"	0.0645112
Parisian	0.0643987
"subway train"	0.0643866
Cambodian	0.0639572
Mozambican	0.0638965
concertgoers	0.0638144
angler	0.06364
gambler	0.063579
"census taker"	0.0632884
buyer	0.0632803
vendor	0.0630979
Travelers	0.0629946
patient	0.062867
reservist	0.062754
Cuban	0.0627188
voter	0.0625759
Texan	0.0625433
smoker	0.0624436
Muscovite	0.0623498
caller	0.0623166
local	0.0621853
dignitary	0.0618964
janitor	0.0616466
kid	0.0616048
subway	0.0616004
parent	0.0614724
Ethiopian	0.0613693
vehicle	0.0611001
rail	0.0610991
"East Timorese"	0.0609478
job-seekers	0.0609256
operator	0.0609162
developer	0.0608965
professional	0.060719
individual	0.0606189
adult	0.0605383
bystander	0.0604629
soldier	0.0604415
"union worker"	0.0602245
bikers	0.0602138
townspeople	0.0599103
Iraqi	0.0598323
Tibetans	0.0598003
depositor	0.0597869
"North Koreans"	0.0595364
beneficiary	0.0590667
"fire fighter"	0.0590021
farmworkers	0.0587738
Nigerian	0.0587722
"school district"	0.0587243
"elected official"	0.058611
turboprop	0.0585215
seeker	0.0584175
senior	0.058398
shopkeeper	0.0583873
rickshaw	0.0583588
"Kosovar Albanians"	0.0583431
applicant	0.0582896
faithful	0.0582239
Navajos	0.0581476
youth	0.0581025
reporter	0.0580949
teacher	0.0580222
sightseeing	0.0579575
Ecuadoreans	0.0578964
"business executive"	0.0577667
Afghan	0.0577359
homebuyers	0.0577245
))
("commuter train" (desc 5550.79) (sims
"express train"	0.226846
"passenger train"	0.211195
"freight train"	0.177513
"subway train"	0.14868
Tram	0.142207
"Long Island Rail Road"	0.138693
trolley	0.137453
Mini-bus	0.129879
minibus	0.125728
minibuses	0.12165
"city bus"	0.12025
lorry	0.117509
"Air France Concorde"	0.107507
"tractor trailer"	0.10091
taxi	0.096743
semitrailer	0.0965814
ferry	0.0952154
"passenger ship"	0.0938446
subway	0.090907
Streetcar	0.0907183
jeepney	0.089365
"Flight @@@@"	0.0889713
mini-buses	0.0882156
commuter	0.0875658
"shuttle bus"	0.0875504
tanker	0.0867658
"passenger car"	0.0861877
taxicab	0.0827744
motorbike	0.0814573
tractor-trailers	0.0808114
"cable car"	0.0780562
locomotive	0.0778839
"railway car"	0.0771449
"rail line"	0.0770939
"EgyptAir Flight @@@"	0.0755703
DC-@@	0.0754058
"school bus"	0.0750727
"Flight @@@"	0.0746295
jetliner	0.0733014
freight	0.0731809
"oil tanker"	0.0731622
van	0.0730764
Zeb	0.0724869
"railroad car"	0.0719192
jeep	0.0716731
USAir	0.0711524
"moving van"	0.0701181
"pickup truck"	0.068888
"military vehicle"	0.0686005
"cargo vessel"	0.0678192
"dump truck"	0.0676978
mini-van	0.0674931
"bus line"	0.0672937
Ambulance	0.066804
rickshaw	0.0666957
gondola	0.0661817
stanchion	0.0661033
Learjet	0.0660852
ISDN	0.0658851
"domestic flight"	0.0653304
"Pan Am Flight @@@"	0.0653139
barge	0.0652456
Motorcycle	0.0646064
"main line"	0.0643483
Buss	0.0636054
DC-@	0.0635274
cab	0.0626557
"police car"	0.0624499
"garbage truck"	0.0618667
"Airbus A@@@"	0.0615705
"Swissair Flight @@@"	0.061447
"small boat"	0.0603857
airliner	0.060109
"subway station"	0.0600677
"public transport"	0.0599808
metro	0.0599131
"container ship"	0.0596727
"bus service"	0.0593361
monorail	0.0592764
Amtrak	0.0591427
limousine	0.0590281
"Alaska Airlines Flight @@@"	0.0587545
"pleasure boat"	0.0582794
rig	0.0580261
Concorde	0.0579881
carriage	0.0567568
"ring road"	0.0565625
convoy	0.0564857
heatwave	0.0564834
"international flight"	0.0564355
motorboat	0.0564102
minivan	0.0563101
"cargo ship"	0.0562566
"Hurricane Hugo"	0.0561644
railroad	0.0557977
"cabin cruiser"	0.0556336
wagon	0.0550042
Cessna	0.0549657
"Cessna @@@"	0.0548707
speedboat	0.054733
underpass	0.0546337
"bus company"	0.0541195
electron	0.0539324
"bus stop"	0.0538951
"electric current"	0.0538621
"Airbus @@@"	0.0537484
"patrol car"	0.0537472
"neutron star"	0.0536104
bogy	0.053551
"bus driver"	0.0534355
freighter	0.053052
downdraft	0.0526627
"telephone exchange"	0.0525511
"train station"	0.0522529
transformer	0.0521693
Apaches	0.0521447
"park bench"	0.0520483
viaduct	0.0519286
"railway line"	0.0518301
soundstage	0.0516709
"cruise ship"	0.0515915
Marta	0.051347
"water main"	0.051231
"fire truck"	0.0509677
"TWA Flight @@@"	0.0506402
ridership	0.0504463
mudslide	0.0504132
elevator	0.0503528
"flash flood"	0.0501261
"patrol boat"	0.0501225
"water pipe"	0.0501219
"Ford Taurus"	0.0500769
dinghy	0.0499612
motorcade	0.0499443
temblor	0.0496184
Fryman	0.0495553
ADSL	0.0495036
Hindenburg	0.0494238
"delivery truck"	0.0494082
MD-@@	0.0493283
tugboat	0.0492927
asteroid	0.0491086
"freight car"	0.0488653
"cold wave"	0.048721
pickup	0.0485998
caravan	0.0484536
motorcyclist	0.0483921
"railroad track"	0.0483399
"Lunar Prospector"	0.0479796
"warm front"	0.0479234
ferryboat	0.0478204
tractor	0.0475887
warplane	0.0474618
torpedo	0.0474609
"fishing boat"	0.0474548
F-@@s	0.0473844
Greyhound	0.0473191
Stagecoach	0.0472688
catamaran	0.0472344
"sound wave"	0.047212
"transportation system"	0.0469744
biplane	0.0466482
"fire engine"	0.0465466
chopper	0.0464371
"truck sale"	0.0463108
Limo	0.0462568
freeway	0.0458258
infantrymen	0.0456673
moped	0.0456655
mini-vans	0.0456373
"garbage disposal"	0.0455805
"personnel carrier"	0.0453142
"police lieutenant"	0.0450941
"trunk line"	0.044983
"New Jersey Turnpike"	0.0449321
holidaymaker	0.0447052
"Hurricane Andrew"	0.0446413
A@@@-@@@	0.0445719
sport-utility	0.0444174
Babs	0.0443293
"ice floe"	0.0442821
motorist	0.0442254
"gas line"	0.0439106
theatergoer	0.0438945
"bus terminal"	0.0437852
chairlift	0.0435471
"robbery suspect"	0.0434383
interceptor	0.0433697
Typhoon	0.0433336
A-@@@	0.0432731
"coaxial cable"	0.0432698
"motor vehicle"	0.0430435
Chevys	0.0430015
armistice	0.0429896
steamer	0.0429443
"American plane"	0.042913
"public transit"	0.0428737
MiG-@@s	0.0428165
"Pan Am"	0.0427084
"mainframe computer"	0.0427077
))
(commuting (desc 4731.64) (sims
motoring	0.0765023
commuter	0.073106
browsing	0.0689462
"air travel"	0.0620252
mating	0.0600597
surfing	0.0596473
gardening	0.0529012
cleaning	0.0524725
travelling	0.0518941
SIESTA	0.0515932
"voting age"	0.050958
listening	0.0506427
"physical education"	0.0506168
downtime	0.0496829
shipping	0.0492722
eating	0.0491799
"rat race"	0.0476656
figuring	0.0471646
sightseeing	0.0470876
"about @@@ million yuan"	0.0468598
child-rearing	0.04591
"public transport"	0.0458094
"nearly $@@"	0.0449372
rickshaw	0.0446302
"nonstop flight"	0.0438697
"foot traffic"	0.043817
socializing	0.0436883
"round trip"	0.0436304
combing	0.0431311
"public speaking"	0.0424622
digging	0.0424235
"free time"	0.0423283
airflow	0.0422742
"nearly @.@ billion yuan"	0.0419994
"poring over"	0.0419722
dining	0.0417937
grilling	0.0415874
jaunt	0.0406523
"about @@ million US Dollars"	0.0404877
spacewalks	0.0404664
"child care"	0.040398
))
(Como (desc 2388.28) (sims
fue	0.221608
que	0.164758
por	0.153359
en	0.141822
LOS	0.126035
el	0.119841
"Estados Unidos"	0.107722
se	0.0965844
Mundo	0.0893259
las	0.0860723
de	0.0841905
Ni	0.0826467
Brasil	0.0748182
la	0.0719726
Casas	0.0705575
del	0.0700352
Para	0.0691834
Caen	0.0681348
Lo	0.0666957
espanol	0.0666922
casa	0.0656274
su	0.0650083
Lugano	0.0646203
Guerra	0.0646119
Si	0.0625021
Carrera	0.0591199
Luca	0.0562803
Grande	0.0551164
Mercado	0.0546114
es	0.0501338
Julio	0.0501058
Stefano	0.048401
MAS	0.0474139
"Buena Vista"	0.0470662
Paolo	0.046107
Contra	0.046011
Calabria	0.0456849
LANIER	0.0453581
Alma	0.0446088
Liege	0.0444101
Plata	0.0440344
Lugar	0.0432525
Cr	0.0418874
Venezia	0.0415617
Torino	0.0414169
Napoli	0.0410813
Boca	0.0410145
Amor	0.0403143
))
(Comoros (desc 7843.52) (sims
Seychelles	0.240671
"Sao Tome and Principe"	0.224108
"Guinea Bissau"	0.223646
Niger	0.220391
"Cape Verde"	0.220035
"Central African Republic"	0.218871
"Democratic Republic of the Congo"	0.214621
"Republic of Congo"	0.211291
"Equatorial Guinea"	0.211024
Mali	0.207677
Burundi	0.205148
Djibouti	0.200295
Gabon	0.19579
Malawi	0.190624
Madagascar	0.188631
Guinea-Bissau	0.185867
Cameroun	0.18561
Benin	0.185202
Chad	0.184157
Liberia	0.18127
"Burkina Faso"	0.179617
Somalia	0.178394
"Democratic Congo"	0.177966
Mauritius	0.177801
Gambia	0.174582
DRC	0.169264
Zaire	0.169249
Mozambique	0.168554
"Democratic Republic"	0.167894
Congo	0.167469
Senegal	0.166884
"Sierra Leone"	0.166721
Togo	0.161285
Angola	0.161088
"Ivory Coast"	0.16021
Botswana	0.152666
Sudan	0.150456
Namibia	0.150365
Lesotho	0.149106
Ghana	0.144722
"Democratic Republic of Congo"	0.144388
Mauritania	0.140407
Swaziland	0.137868
Cameroon	0.136553
Ethiopia	0.134773
Rwanda	0.133558
Uganda	0.133538
"Great Lakes Region"	0.132495
Zambia	0.129447
Eritrea	0.128282
Zimbabwe	0.126129
Tanzania	0.125606
Guinea	0.124959
"Central Africa"	0.119597
Algeria	0.118617
Nigeria	0.116311
Kenya	0.114238
"Western Sahara"	0.113483
Yemen	0.110707
Tunisia	0.11045
"Congo Republic"	0.110428
Tajikistan	0.109707
Cambodia	0.107405
Anjouan	0.10605
Afghanistan	0.101441
"Solomon Islands"	0.101237
"African country"	0.101009
Kiribati	0.0995798
"South Africa"	0.0976338
Cyprus	0.0950819
Bosnia-Herzegovina	0.0929497
Guyana	0.0911515
Zanzibar	0.0903027
"Federal Republic"	0.090207
Solomons	0.0897864
"Papua New Guinea"	0.089327
"East Timor"	0.0876161
Haiti	0.0865723
"African nation"	0.0845203
"Sri Lanka"	0.0844909
Vanuatu	0.0839932
Bosnia	0.0804804
Libya	0.0796245
Bahrain	0.0790889
Azerbaijan	0.0788865
Bougainville	0.0780802
Timor	0.078015
"D.R Congo"	0.0771079
"United Arab Emirates"	0.0748064
Egypt	0.0745172
Fiji	0.0744744
"Abu Musa"	0.0737249
Somali	0.0732302
Morocco	0.073046
Maldives	0.0713608
Somaliland	0.0713267
Jolo	0.0709207
"Antigua and Barbuda"	0.0708879
Nicaragua	0.0708534
Bujumbura	0.0706037
Oman	0.0703062
Bangladesh	0.0694097
Bolivia	0.0691645
"Balkan nation"	0.0691546
Peru	0.0688462
Republic	0.0686984
"Balkan country"	0.0686017
"El Salvador"	0.0684361
Albania	0.068366
Kyrgyzstan	0.0682721
PNG	0.0678758
"South Atlantic"	0.0678717
CHT	0.0678145
Balkans	0.0675671
Malta	0.0673036
Montserrat	0.0667073
"South American country"	0.0660587
Ecuadorean	0.0649457
"Middle East"	0.064943
Sipadan	0.0649283
Guatemala	0.0642196
Chechnya	0.0641563
Burma	0.0640988
Malvinas	0.0640969
Batam	0.0636636
Abkhazia	0.0635679
Maluku	0.0635006
"Republic of Korea"	0.0633428
Grenada	0.0633301
Abkhazian	0.0628166
Asmara	0.0623361
Ivoire	0.0618693
Mongolia	0.0617207
"Democratic People's Republic of Korea"	0.0607087
Kyushu	0.0605134
Portugal	0.0603436
"South Vietnam"	0.0601912
Armenia	0.0600478
Ecuador	0.0599481
Crete	0.0598181
Okinawa	0.0595607
Brazzaville	0.0593815
Maltese	0.0591273
Kingdom	0.0590556
sub-region	0.0589819
Nagorno-Karabakh	0.0589095
"Asian nation"	0.0588213
Mindanao	0.0586827
Aceh	0.0585917
DPRK	0.058506
Moldova	0.0583937
Belarus	0.058279
"Yugoslav Republic"	0.0579314
Caucasus	0.0579077
Colombia	0.0578865
"Russian Federation"	0.0578202
"United Kingdom"	0.0576431
Palestine	0.0575999
Gibraltar	0.0573875
Kaduna	0.0573423
Chiapas	0.0573129
"Viet Nam"	0.0572372
Montenegro	0.0570699
Panama	0.0567084
Falklands	0.0564884
"San Salvador"	0.0562053
KwaZulu/Natal	0.0557182
Aegean	0.055635
ROK	0.0555303
Madeira	0.0548334
Ambon	0.0548179
Uruguay	0.0547731
Pemba	0.054521
Barbados	0.0543063
Honduras	0.0542978
"North Caucasus"	0.0542683
Brunei	0.0542576
Iceland	0.0540746
"San Marino"	0.0540586
Zairian	0.053993
"Central American country"	0.0539694
Qatar	0.0538722
Botswanan	0.0538255
Langkawi	0.0537797
Kisangani	0.0532892
Mideast	0.0532636
Camerounian	0.05302
"Yugoslav Federation"	0.0528367
Korea	0.0528155
Kazakstan	0.052724
"Red Sea"	0.0527225
Corsica	0.0525601
Tuvalu	0.0523914
"Dominican Republic"	0.0523568
Laos	0.0523258
"South Asia"	0.0521183
"Korean Peninsula"	0.0518604
Moroni	0.0517371
"East Asia"	0.0515552
"Balkan state"	0.0514517
))
(comp (desc 1211.67) (sims
"Medicare HMO"	0.103579
"car insurance"	0.102507
malpractice	0.084191
"export credit"	0.0831921
tort	0.0825851
"take-home pay"	0.0751576
GST	0.0748917
severance	0.0722053
GSP	0.0716782
"nursing care"	0.0715541
Filtration	0.0667649
FOREX	0.0667389
maternity	0.0658067
indemnity	0.0646538
ILGO	0.0644794
"disability insurance"	0.0629227
physicals	0.0599473
CPO	0.0593831
takings	0.0589338
healthcare	0.0577098
fallback	0.055393
escrow	0.0550168
childcare	0.0549407
Fernandes	0.0545004
"pay rate"	0.0542571
NHS	0.0539305
retraining	0.0531392
"Brooks Brothers"	0.0528402
"social insurance"	0.0519063
"golden parachute"	0.0515125
"Williamson County"	0.0514795
Allianz	0.0507991
outpatient	0.0505021
interbank	0.0494422
multibillion	0.0493249
"disability benefit"	0.0491185
reinsurance	0.0484504
dialysis	0.0484162
Gan	0.0481183
"Jasper County"	0.0480886
"Local @@"	0.0479745
"Howdy Doody"	0.0479192
"Makes @@"	0.047136
paternity	0.0465692
"home mortgage"	0.0457676
"disability payment"	0.0453767
RICO	0.0451134
AOC	0.0450944
mammography	0.0449974
"insurance premium"	0.0447141
Chemo	0.044585
whistleblower	0.0442903
"Erie County"	0.0435326
"retirement benefit"	0.0429169
"food stamp"	0.0427045
Pe	0.0422447
O.	0.0422294
Allstate	0.0419513
"civil law"	0.041537
WOODWARD's	0.0412492
whiplash	0.041224
"Wyandotte County"	0.0410264
))
(compact (desc 15695.2) (sims
hatchback	0.0847753
Coupe	0.0836077
Sedan	0.0777269
"Proposition @"	0.0773679
pact	0.0744545
convertible	0.0707826
"pricing system"	0.0687755
Treaty	0.0686397
"labor agreement"	0.0680588
"compact car"	0.0679044
roadster	0.0674272
Shays-Meehan	0.0669955
Ordinance	0.0669305
Alero	0.0666317
"trade bill"	0.0648363
minivan	0.0633976
"trade agreement"	0.0626544
accord	0.0625477
"sports car"	0.0616355
"labor contract"	0.0614941
"counsel law"	0.0611078
subcompact	0.0599786
covenant	0.0597387
pickup	0.0590833
"Civil Rights Act"	0.0586466
"Proposition @@"	0.0583258
"Kyoto Protocol"	0.057452
"station wagon"	0.0570216
decree	0.056898
"compromise plan"	0.0568603
"Oslo Accords"	0.0565535
"North American Free Trade Agreement"	0.0562949
statute	0.0562621
legislation	0.0558575
"employment contract"	0.0547235
wagon	0.0540941
"pilot program"	0.0538886
minivans	0.0538767
SUV	0.0536177
amendment	0.053288
"peace treaty"	0.0528611
"entitlement program"	0.051993
partnership	0.0518171
"Telecommunications Act"	0.0512668
SUVs	0.0509145
"social contract"	0.0501548
truce	0.0498964
"Lusaka Protocol"	0.0492616
"Anti-Ballistic Missile Treaty"	0.0484566
"pickup truck"	0.0482794
"Comprehensive Nuclear Test Ban Treaty"	0.0480789
provision	0.0478009
"ABM Treaty"	0.0476897
charter	0.0473751
Passat	0.0473625
protocol	0.0471277
"START II"	0.0470115
"Proposition @@@"	0.0469522
cease-fire	0.0466852
"Honda Civic"	0.0465432
"Ford Explorer"	0.0463822
"service contract"	0.0462948
minibuses	0.0460597
NAFTA	0.0457519
hybrid	0.0456987
midsize	0.0454578
"Voting Rights Act"	0.0452428
"line of products"	0.0451959
"master plan"	0.0451666
"New Beetle"	0.0451336
"Bill of Rights"	0.0450197
"free trade"	0.0449996
"Ford Taurus"	0.0448287
"letter of intent"	0.0448008
"reorganization plan"	0.044594
"Helms-Burton Act"	0.0440114
"tax bill"	0.0436459
"highway system"	0.0435042
"Marshall Plan"	0.0428443
repeal	0.042444
"trade policy"	0.0423919
guideline	0.0422162
code	0.0421473
armistice	0.0421437
kit	0.0420766
Taurus	0.0418731
overhaul	0.0418586
"safety feature"	0.0417392
Maxima	0.041687
Camry	0.0416028
"final judgment"	0.0415905
"quota system"	0.0415489
impala	0.0413662
lottery	0.041273
"merger agreement"	0.0412032
"abortion law"	0.041164
clause	0.0409679
automobile	0.0409484
"U.N. Resolution @@@"	0.0408494
"arms deal"	0.0407508
linkage	0.0406444
"passenger car"	0.0405651
A@XX	0.0404879
"surveillance system"	0.040445
"tax increase"	0.0403566
"U.S. Constitution"	0.0401731
bylaw	0.0401654
mechanism	0.0401055
"Chevrolet Suburban"	0.0400286
restriction	0.0400137
))
("compact car" (desc 2105.49) (sims
subcompact	0.15234
Alero	0.125024
SUV	0.124379
Sedan	0.124193
hatchback	0.119366
minivan	0.108718
"passenger car"	0.107857
"station wagon"	0.102726
Passat	0.0938175
"sports car"	0.0931496
Coupe	0.0929174
minibuses	0.0919727
midsize	0.0896553
"Volkswagen Beetle"	0.0871972
"pickup truck"	0.0861281
DeVille	0.0849181
mini-buses	0.0845021
"diesel engine"	0.0838558
jeep	0.0826649
minivans	0.0825007
"line of products"	0.0815006
"home appliance"	0.0813355
convertible	0.0813071
impala	0.0786144
V@@	0.0775694
Buick	0.077287
Prius	0.0760689
"five million tons"	0.0757784
"four million tons"	0.0757267
"silver dollar"	0.0753651
Hummer	0.0753501
"washing machine"	0.0748805
biogas	0.0744702
Rolls-Royce	0.0739336
"electric car"	0.0732722
Taurus	0.0729342
"wind power"	0.0714877
powerboat	0.0712958
"New Beetle"	0.070992
mini	0.070964
S@@	0.0704984
"household appliance"	0.0692233
"Ford Taurus"	0.0684427
handset	0.068351
lysine	0.0682302
"picture tube"	0.0680402
"Range Rover"	0.0678873
limousine	0.0678772
wagon	0.0675901
"aircraft part"	0.0667379
varietals	0.0664536
"Honda Accord"	0.0657439
"solar cell"	0.0654929
scooter	0.065208
ethylene	0.0651543
"water heater"	0.0645234
"steel plate"	0.0644435
RVs	0.0644232
Cessna	0.0640457
LNG	0.0638557
air-conditioner	0.0634678
"Ford Explorer"	0.0634265
"more than @@ million tons"	0.0633113
A@XX	0.0629595
Corolla	0.0625883
seashell	0.0620614
"catalytic converter"	0.061919
tractor	0.0614669
locomotive	0.0614402
"Jeep Grand Cherokee"	0.0611985
Jetta	0.0610683
microchip	0.0610558
"dump truck"	0.0609065
forklift	0.0608063
Audi	0.0607383
harvester	0.0606474
"Palm III"	0.0601019
"mobile home"	0.0599734
"about @@ million tons"	0.0599326
"fish meal"	0.0599034
"fighter aircraft"	0.0598914
lubricant	0.0597139
"hand-held computer"	0.0595661
"Terminal @"	0.0591633
sport-utilities	0.0590141
"patrol car"	0.0585112
A@@@	0.0582682
"atom bomb"	0.058181
briquette	0.0580737
newsprint	0.058039
"weapons system"	0.057739
"software product"	0.0577118
tritium	0.0575391
livery	0.0575321
"microwave oven"	0.0573899
"manufacturing business"	0.0572449
Cadillacs	0.0572191
"atomic bomb"	0.0571709
"motor vehicle"	0.0570911
compressor	0.0569936
"memory chip"	0.0568849
"machine tool"	0.0568255
Rolls	0.0566619
microprocessor	0.0564397
"integrated circuit"	0.055691
Mercedes	0.0555961
tundra	0.0555676
"viewing audience"	0.0552509
"aircraft engine"	0.055175
"Lincoln Town Car"	0.0551122
videophone	0.0550947
"slide rule"	0.0549593
"soccer ball"	0.0549087
iMacs	0.0548865
"PT Cruiser"	0.0548603
Opel	0.054608
Walkman	0.0545835
methanol	0.054543
"silicon chip"	0.0542806
"over @,@@@ tons"	0.0540629
sport-utility	0.0539728
"three million tons"	0.0539709
"weather satellite"	0.0538938
"hot rod"	0.0536737
Citroen	0.0536375
telomerase	0.0535472
"house of cards"	0.0534315
"hearing aid"	0.0531822
"kitchen appliance"	0.0531541
"jet engine"	0.0530756
typeface	0.0529474
V@	0.0525763
"documentary film"	0.0524577
"Land Cruiser"	0.0524522
"ping-pong ball"	0.0524349
dram	0.0523037
"attack submarine"	0.0521874
"thermonuclear warhead"	0.0520481
petrochemical	0.0518927
VCD	0.051796
jetliner	0.0516906
"bond offering"	0.051682
"computer hardware"	0.0516682
"color television"	0.0515474
"club membership"	0.0514191
semiconductor	0.0513471
swimsuit	0.0512777
refrigerant	0.0512635
"squad car"	0.0511295
polypropylene	0.0511128
taxicab	0.0510784
"over @@ million tons"	0.0510559
mini-vans	0.0510492
lightbulb	0.0510153
"six million tons"	0.0508545
Powerbook	0.0503901
"electric motor"	0.0502207
"dinner plate"	0.0500803
iBook	0.0500545
PlayStation	0.0499687
shredders	0.049946
"baseball glove"	0.0499429
"tv set"	0.0499225
"telephone set"	0.0496315
hydropower	0.0496076
conditioner	0.0495095
"chemical compound"	0.049464
"train ticket"	0.0494375
Mini-bus	0.0493683
"electronic device"	0.0491898
foal	0.0489879
"business line"	0.048976
"pipe organ"	0.048915
"portable computer"	0.0488914
"communications equipment"	0.0488683
Centerfold	0.0487857
"Honda Civic"	0.0487743
hemoglobin	0.0486313
"red blood cell"	0.0485972
Suburbans	0.0485967
megaplex	0.0485469
hardback	0.0484598
mini-van	0.0484126
Athlon	0.0483454
Tram	0.0482019
ADP	0.0481649
SUVs	0.0478399
"automatic transmission"	0.0477964
corvette	0.0477035
"consumer goods"	0.0476652
"assembly hall"	0.04766
"sparkling wine"	0.0476115
DV	0.0475837
"patrol ship"	0.0475625
"polyvinyl chloride"	0.0475455
ephedra	0.0474763
"black tea"	0.0474688
diode	0.0474407
chassis	0.0474322
urea	0.0472988
))
("compact disc" (desc 13939.2) (sims
"compact disk"	0.264976
VCDs	0.253233
CD	0.222967
cassette	0.215009
disc	0.192193
DVDs	0.176446
"cassette tape"	0.174138
VCD	0.164012
LDs	0.154354
CD-ROM	0.148106
"audio CD"	0.142338
disk	0.131575
audio	0.122879
videocassette	0.114649
tape	0.10867
videotape	0.107423
DVD	0.107122
"tv set"	0.105393
video	0.104515
audiotape	0.103765
"CD player"	0.0962364
"video game"	0.0926743
diskette	0.0921032
Recording	0.0899525
"videocassette recorder"	0.0899433
"cassette recorder"	0.0898566
"floppy disk"	0.086245
appliance	0.0811795
"sheet music"	0.0806119
floppy	0.0795315
"computer equipment"	0.0790099
"color television"	0.0786086
"motor vehicle"	0.0779084
VCR	0.0778938
copy	0.0774256
automobile	0.0772288
"television set"	0.07709
cartridge	0.0770295
software	0.0768637
"computer game"	0.0761234
item	0.0757705
CD-R	0.0757495
contraband	0.0755953
"personal computer"	0.0750189
air-conditioner	0.0745576
toy	0.0744372
album	0.0742945
goods	0.0731763
merchandise	0.0726011
"microwave oven"	0.0717213
"washing machine"	0.0714101
tablet	0.0705769
jewelry	0.0702284
recorder	0.0695267
"computer hardware"	0.0691313
postcard	0.0686832
stereo	0.0686066
LPs	0.0683203
semiconductor	0.0681125
firearm	0.0677958
cigarette	0.0676398
artwork	0.0676089
memorabilia	0.067563
camcorder	0.0673618
conditioner	0.0665614
"first CD"	0.065885
"passenger car"	0.0658622
pamphlet	0.0658613
brochure	0.0651476
"greeting card"	0.0650313
Clothing	0.0646552
artifact	0.064214
"electronic equipment"	0.0641874
"board game"	0.0640058
"picture tube"	0.0639463
"household appliance"	0.0635283
"integrated circuit"	0.0634079
poster	0.0628357
heroin	0.0627287
Banknote	0.062296
Coin	0.0622396
liquor	0.0622033
peripheral	0.0618552
refrigerator	0.061475
hashish	0.0613738
"baseball card"	0.0611508
"consumer electronics"	0.0611245
"desktop computer"	0.0609709
"solar cell"	0.0608631
"theater ticket"	0.0608156
"home appliance"	0.0607728
"consumer goods"	0.0606835
paraphernalia	0.0606719
compressor	0.0606703
PC	0.0605795
"musical instrument"	0.0605596
"production line"	0.0605422
"season ticket"	0.0603707
"production equipment"	0.060281
"cassette player"	0.0602468
soundtrack	0.0601393
"currency unit"	0.0601228
"television program"	0.0601047
tonne	0.059923
"machine tool"	0.059798
microfilm	0.0597845
"tape player"	0.0597779
"trading card"	0.0597025
sq.km	0.0596189
microchip	0.0595582
wafer	0.0595156
card	0.0594558
"TV program"	0.0592213
clip	0.0592068
T-shirt	0.0590662
"hand-held computer"	0.0588698
"food product"	0.0587038
apparel	0.0586806
camcorders	0.0585918
battery	0.0584495
copier	0.0583161
furniture	0.0579476
pharmaceutical	0.0577977
printout	0.0577382
foodstuff	0.0576721
garment	0.057663
"work of art"	0.05763
workbook	0.057352
kit	0.0569911
chip	0.0569184
"Iraqi POWs"	0.056907
"spare part"	0.0568566
handset	0.0568314
booklet	0.0568251
"bank note"	0.0567864
Walkman	0.0562754
newsprint	0.0562653
Motorcycle	0.0562536
sapling	0.0562412
"sports equipment"	0.0560654
dwt	0.0555926
manuscript	0.0555777
cosmetic	0.0552448
publication	0.0551911
narcotic	0.0551014
"communications equipment"	0.0546954
"scientific instrument"	0.0545074
souvenir	0.0540947
MP@	0.0540248
"coloring book"	0.0539017
paperback	0.0538894
"memory chip"	0.0535233
"cellular phone"	0.0533681
"Iranian POWs"	0.0531823
hardware	0.053158
compilation	0.0530769
"sewing machine"	0.0530403
DVD-ROM	0.0529395
pill	0.0527595
"building material"	0.0526763
"aircraft part"	0.0526182
microprocessor	0.0524687
gadget	0.0521985
electronics	0.051944
leaflet	0.0518069
"written material"	0.0517937
"Beanie Babies"	0.0517104
piracy	0.0516945
cocaine	0.0516788
firework	0.0516002
downloading	0.0515305
machinery	0.0514249
scanner	0.0513536
subscription	0.0513152
"computer file"	0.0511765
"laptop computer"	0.051116
coupon	0.0508582
"feature film"	0.0508465
transcript	0.0507501
auto	0.0507221
"comic book"	0.0506934
fertilizer	0.0506096
"water heater"	0.0504849
"Windows @@"	0.050482
handbag	0.0504674
widget	0.0502826
"life jacket"	0.0500326
"durable goods"	0.0498902
condom	0.049714
ammunition	0.0496399
cloth	0.0496366
Encyclopedia	0.0496356
"fax machine"	0.0496189
"disk drive"	0.0495984
sq.m	0.0495549
notebook	0.0494725
PlayStation	0.0494583
"cellular telephone"	0.0493311
"diesel oil"	0.0491927
"toilet paper"	0.0491289
))
("compact disk" (desc 5420.36) (sims
"compact disc"	0.264976
VCDs	0.217903
"cassette tape"	0.201991
DVDs	0.189843
cassette	0.189106
LDs	0.160487
CD	0.152748
disc	0.138134
CD-ROM	0.123298
VCD	0.123003
audiotape	0.116606
disk	0.114853
audio	0.110457
"audio CD"	0.106249
DVD-ROM	0.103374
videotape	0.10214
"floppy disk"	0.0968119
videocassette	0.0960394
"greeting card"	0.095153
DVD	0.0933545
LPs	0.0920677
video	0.0889223
diskette	0.0812776
"cassette recorder"	0.0803192
"sheet music"	0.0800128
Recording	0.0799427
"computer equipment"	0.0787212
"cassette player"	0.0784491
"written material"	0.0781301
"board game"	0.0764364
"video game"	0.0755314
postcard	0.0754046
"trading card"	0.0752357
"baseball card"	0.0750083
"sports equipment"	0.0745743
pamphlet	0.0740722
brochure	0.0740452
paraphernalia	0.0729222
e-BOOKS	0.072378
"pet food"	0.0714859
"tv set"	0.0713146
"portable computer"	0.0711606
floppy	0.0708538
"tape player"	0.0703305
playback	0.0678285
periodical	0.0665682
workbook	0.0654389
"season ticket"	0.0647007
"passenger car"	0.0644164
"CD player"	0.0639735
memorabilia	0.0629792
"communications service"	0.0628659
merchandise	0.0628603
appliance	0.0627484
collectibles	0.0620779
"motor vehicle"	0.0618054
"comic book"	0.0613857
transcript	0.0611192
"consumer electronics"	0.0609897
"electric car"	0.0609771
camcorders	0.0609525
copier	0.060829
"electronic device"	0.0607461
Fragrance	0.0605805
LP	0.059982
manuscript	0.0599216
"TV program"	0.0596691
jewelry	0.0593574
cigarette	0.0592779
DIVX	0.0591062
booklet	0.0584973
printout	0.0584834
contraband	0.0584649
"computer game"	0.0584363
cartridge	0.0584349
"personal computer"	0.0579951
lingerie	0.0579384
peripheral	0.0577825
"first CD"	0.0576159
recorder	0.0575785
artwork	0.057465
metical	0.0573625
furniture	0.0573102
textbook	0.0572253
"wireless telephone"	0.0571717
VCR	0.0570397
"hand-held computer"	0.0568844
firearm	0.0568412
"software package"	0.0568408
songbook	0.0568199
paperback	0.0567977
Firewood	0.0564944
"Christmas card"	0.0561642
leaflet	0.0560432
beepers	0.0559887
"home movie"	0.0558948
camcorder	0.0557088
semiconductor	0.0556349
"picture tube"	0.0554957
"disk drive"	0.0554303
gadget	0.0551357
Buicks	0.0550338
"videocassette recorder"	0.0549897
pagers	0.0549575
DAT	0.0549386
supercomputers	0.0549268
"hearing aid"	0.0548893
souvenir	0.0547606
"coloring book"	0.054758
propane	0.0547283
lumber	0.0547105
"catalytic converter"	0.0544076
"laser printer"	0.0543024
hardback	0.0542569
"aircraft part"	0.0540174
widget	0.0537912
lubricant	0.0537836
CD-R	0.0537422
subscription	0.0536831
"train ticket"	0.0534117
"electronic equipment"	0.0534027
"microwave oven"	0.0531748
Encyclopedia	0.0530949
rickshaw	0.052935
Projector	0.0527902
"consumer goods"	0.0526599
HDTV	0.0525442
"Iraqi POWs"	0.0524714
condom	0.0524201
cookbook	0.0523566
"washing machine"	0.0523516
dictionary	0.0522355
"silver dollar"	0.0519193
"musical instrument"	0.0518867
"Beanie Babies"	0.0518315
stationery	0.0515357
apparel	0.0515158
"parcel of land"	0.0514592
"computer hardware"	0.0513387
"video equipment"	0.0509388
scrapbook	0.0508893
Barbies	0.0508256
"over @@@ tons"	0.0506918
T-bonds	0.0506375
"frozen food"	0.0505422
"literary work"	0.0504884
MP@	0.0500108
"tool kit"	0.0498562
handset	0.04983
scanner	0.049695
"computer code"	0.0492199
doll	0.0492195
trinket	0.0489719
sportswear	0.0489419
Banknote	0.0488
mini-buses	0.0487167
"Lincoln Center Theater"	0.0485743
"reference book"	0.0485579
cookware	0.0483522
"tape recorder"	0.0483434
"Microsoft Office"	0.0482023
supplicant	0.0481459
"software product"	0.0481269
liquor	0.0481119
sapling	0.0480904
meticais	0.0480707
accessory	0.0479729
"television program"	0.0478762
"Office @@"	0.0477911
"memory chip"	0.0477908
"mail order"	0.0477807
"reference work"	0.0477788
printer	0.0476821
"Liquid Audio"	0.0476112
beany	0.0475717
wristwatch	0.047238
"data communication"	0.0472327
"home appliance"	0.0471392
adapter	0.0469998
microfilm	0.0469483
"fax machine"	0.0468598
"Rolls-Royce Motor Cars"	0.0468273
"television set"	0.0467929
sticker	0.046788
postage	0.0467813
"speaker system"	0.046727
"cellular phone"	0.0467101
detonator	0.0466526
"contact lense"	0.0465955
kit	0.0465467
firework	0.0465352
handheld	0.04652
transistor	0.0465197
wafer	0.0464844
"New Beetle"	0.0463823
garment	0.0463115
PolyGram	0.0461387
"household appliance"	0.046102
"motor oil"	0.0459431
Anthology	0.0459162
))
(companion (desc 46104.2) (sims
friend	0.0930494
girlfriend	0.0878485
boyfriend	0.0862328
"best friend"	0.0856672
wife	0.0844568
lover	0.0811333
buddy	0.0807095
husband	0.0804032
"family member"	0.0746302
sister	0.0730492
mother	0.0728127
fiancee	0.072022
partner	0.0717248
guide	0.0714166
brother	0.070735
cousin	0.0706862
spouse	0.0687909
daughter	0.0685589
son	0.0684371
colleague	0.0681842
mate	0.0675039
bodyguard	0.067232
fiance	0.0670325
roommate	0.0669533
father	0.0660602
associate	0.066058
relative	0.0652934
co-worker	0.0646101
comrade	0.0643097
sibling	0.0640254
collaborator	0.0639025
niece	0.0634243
family	0.0629778
aide	0.0624619
mistress	0.0621796
guest	0.0621029
grandmother	0.0619912
child	0.0619536
acquaintance	0.0611773
"crew member"	0.0608892
caddie	0.0606526
passenger	0.0606036
pet	0.0604869
assistant	0.0600445
parent	0.0600003
confidante	0.0599963
person	0.0599321
dog	0.0598708
classmate	0.0597464
boy	0.059132
stepdaughter	0.0588514
servant	0.0585986
grandchildren	0.0585915
"young woman"	0.0584094
mentor	0.0583799
grandson	0.0581793
exwife	0.0581676
"loved one"	0.0580937
accomplice	0.0574961
coworker	0.0574193
"young man"	0.0571616
PAL	0.0571142
granddaughter	0.0569901
widow	0.0569868
mom	0.0569209
client	0.0567692
patron	0.0567598
neighbor	0.0565236
actress	0.0564374
girl	0.0564198
driver	0.056201
helper	0.0559644
"little girl"	0.0555212
aunt	0.0554342
dad	0.0553726
confidant	0.0551463
playmate	0.055099
fan	0.0550686
stranger	0.0550408
kid	0.055
nephew	0.0544527
nurse	0.0544334
Bos	0.0544278
baby	0.0540934
CAT	0.0540775
housekeeper	0.0540002
"role model"	0.0538315
admirer	0.0536908
teacher	0.0536851
sweetheart	0.0536744
photographer	0.053632
handler	0.0535738
Reader	0.0534991
student	0.053372
doctor	0.0533064
victim	0.0533038
uncle	0.0531666
lawyer	0.0531162
heir	0.0526624
journalist	0.0524334
officer	0.05237
owner	0.0520545
listener	0.0520241
others	0.0518821
"soul mate"	0.0518157
agent	0.0516477
nanny	0.0516301
bride	0.0513826
assailant	0.05124
employee	0.0510925
policeman	0.0509752
occupant	0.0506724
brother-in-law	0.0505429
hero	0.0504509
Diana	0.0503916
actor	0.0502542
teammate	0.0501561
sailor	0.0501439
writer	0.0500806
suspect	0.049768
lady	0.0497012
volunteer	0.0496563
sister-in-law	0.0495813
dancer	0.0492902
tutor	0.04924
someone	0.0491984
"Princess Diana"	0.0490765
crewmen	0.0488755
bystander	0.0488733
artist	0.0488698
"police officer"	0.0488332
supporter	0.04875
schoolmate	0.048688
gift	0.0486164
"security guard"	0.0485995
audience	0.0485885
attacker	0.0484704
musician	0.0484481
visitor	0.0484127
crony	0.0483985
clerk	0.048382
stepson	0.0483524
participant	0.0483219
follower	0.0482668
captive	0.0482015
donor	0.048124
priest	0.0479635
ex-husband	0.0479247
author	0.0478462
Cop	0.0477314
fellow	0.0474733
waitress	0.0474578
ally	0.0473238
peer	0.0471482
golfer	0.0471346
soldier	0.0471075
narrator	0.0470669
maid	0.0470659
subordinate	0.0470598
pilot	0.0470431
entourage	0.0469459
pupil	0.0469456
performer	0.0469441
Killer	0.0469432
Lieutenant	0.0468781
instructor	0.0468236
protagonist	0.0468034
prostitute	0.0467117
character	0.0466838
boss	0.04648
reporter	0.0464461
co-star	0.0463953
poet	0.0463511
staffer	0.0463242
waiter	0.0462042
trooper	0.0462025
hostage	0.0461742
teen-ager	0.0461712
spectator	0.0459711
accountant	0.0458913
survivor	0.0458332
astronaut	0.0458102
horse	0.0457766
juror	0.0457458
trainer	0.0457381
inmate	0.0457008
athlete	0.0456739
cohort	0.0456691
composer	0.0455717
Muse	0.0454764
protector	0.0454678
grandparent	0.0454592
"staff member"	0.0453927
singer	0.0452747
patient	0.0452614
heroine	0.0452401
Attorney	0.0452003
crew	0.0451764
"flight attendant"	0.0451744
slave	0.0451114
))
(companionship (desc 5084.46) (sims
cordiality	0.0948722
wholeness	0.0921099
sustenance	0.0815716
esteem	0.0747235
stimulation	0.0735322
warmth	0.07343
happiness	0.0734125
intimacy	0.072962
kindness	0.0687779
reassurance	0.0687089
"nursing care"	0.0680233
forgiveness	0.0675435
affection	0.0669322
togetherness	0.0662166
camaraderie	0.0650512
empathy	0.0644978
gentleness	0.0639943
solace	0.0635657
hospitality	0.0627773
compassion	0.0614574
enlightenment	0.0612213
closeness	0.0611853
adulation	0.058791
counseling	0.0585125
"medical care"	0.0582179
connectedness	0.0577604
nourishment	0.0574877
fulfillment	0.0574109
"creature comforts"	0.0564091
orgasm	0.0561932
serenity	0.0549165
succor	0.0546405
solitude	0.0543757
gratification	0.0537486
neighborliness	0.0535911
healing	0.0535462
"sex hormone"	0.0529158
guardianship	0.0529112
interactivity	0.0527777
transcendence	0.0521926
encouragement	0.0516982
"job security"	0.0513071
equality	0.0512813
relaxation	0.0512405
refreshment	0.0512166
individuality	0.0503807
"hypodermic needle"	0.0500526
circumcision	0.0500299
motivation	0.0497594
generosity	0.0496294
hygiene	0.0495385
"peace of mind"	0.0494563
salvation	0.0489324
buoyancy	0.048877
self-respect	0.0484417
psychotherapy	0.0484295
bipartisanship	0.0480015
purity	0.0479814
genital	0.0478987
certainty	0.0477975
livelihood	0.0477936
heartbreak	0.0472106
well-being	0.0471414
affordability	0.046494
humility	0.0464793
neuroses	0.0463232
loneliness	0.0461846
procreation	0.0460212
betrayal	0.045941
victimhood	0.0456682
honesty	0.0455275
"economies of scale"	0.0450723
"social status"	0.0449772
intercession	0.0448964
functionality	0.0448879
respite	0.0445971
squalor	0.0445339
"hospital care"	0.0444933
toughness	0.0444755
inhibition	0.0443097
enjoyment	0.04429
"safe harbor"	0.0440651
sterilization	0.0438886
tranquillity	0.0437646
hand-holding	0.0436569
Amity	0.0436251
fertility	0.0433791
validation	0.0433156
practicality	0.0432403
feedback	0.0431521
"name and address"	0.0429168
nonviolence	0.0428666
spirituality	0.0428425
lust	0.0428212
corroboration	0.0427686
heartache	0.0427112
infidelity	0.0426585
bereavement	0.042634
equilibrium	0.0426082
tutoring	0.0424648
peccadillo	0.0424252
decency	0.0423784
portability	0.0423746
brotherhood	0.042325
nutrition	0.0423025
continuity	0.0422291
socialization	0.0420134
nurturing	0.0419322
brainpower	0.0418289
contentment	0.0418268
good-neighborliness	0.0416692
"day care"	0.041666
"quick fix"	0.041416
showmanship	0.0414026
anguish	0.0413157
catharsis	0.0413079
willpower	0.0412575
"medical aid"	0.0411313
householder	0.0411155
pronoun	0.0410162
objectivity	0.0409008
"child care"	0.0407137
collegiality	0.0406986
treachery	0.0406289
reliability	0.0406001
jealousy	0.0404883
friendliness	0.0404708
"office space"	0.0404607
"soul mate"	0.0403792
visitation	0.0403084
"role model"	0.0401152
))
(company (desc 604523) (sims
firm	0.318982
corporation	0.244064
bank	0.232661
business	0.228003
industry	0.220187
manufacturer	0.218815
enterprise	0.213738
giant	0.202504
maker	0.197565
airline	0.191289
agency	0.188876
provider	0.184988
group	0.180863
retailer	0.179948
investor	0.176044
organization	0.173985
government	0.166594
sector	0.165953
Microsoft	0.165465
carrier	0.160886
institution	0.159457
employer	0.15809
conglomerate	0.153385
subsidiary	0.15236
insurer	0.151885
customer	0.15177
stock	0.151518
country	0.151015
market	0.150568
"financial institution"	0.150067
"insurance company"	0.149642
supplier	0.149066
fund	0.148548
"phone company"	0.1476
operator	0.147173
unit	0.147056
startup	0.146985
network	0.146961
people	0.146554
service	0.143276
state	0.143095
consumer	0.141993
competitor	0.14145
department	0.13755
project	0.137368
venture	0.136608
producer	0.135769
factory	0.134692
product	0.133493
operation	0.132822
IBM	0.132751
university	0.131641
individual	0.131595
client	0.13158
utility	0.131475
site	0.130708
developer	0.130057
owner	0.129997
farmer	0.129554
team	0.129226
"commercial bank"	0.12919
dealer	0.128384
economy	0.128013
plant	0.127871
system	0.127807
nation	0.127486
"joint venture"	0.127171
employee	0.127106
contractor	0.126964
Boeing	0.126915
worker	0.126538
school	0.1255
"telephone company"	0.124993
Intel	0.124687
program	0.124106
entrepreneur	0.123497
"federal government"	0.123297
buyer	0.122611
store	0.122347
party	0.122049
union	0.121724
investment	0.12159
community	0.12131
automakers	0.121304
businessmen	0.121225
family	0.120979
city	0.120909
entity	0.120836
office	0.120447
partner	0.119451
those	0.118739
chain	0.118652
hospital	0.117964
GM	0.117947
"brokerage firm"	0.117809
official	0.117466
executive	0.117441
exporter	0.117267
distributor	0.116891
brokerage	0.116234
parent	0.115974
advertiser	0.115385
user	0.114994
technology	0.11485
American	0.114804
broker	0.114364
authority	0.114016
division	0.113966
China	0.113571
vendor	0.113436
doctor	0.112107
member	0.111593
institute	0.110923
HMO	0.110161
player	0.109708
"America Online"	0.109589
association	0.109171
Motorola	0.109009
sale	0.109001
automaker	0.108952
Coca-Cola	0.10895
administration	0.108932
woman	0.108888
"holding company"	0.108448
merchant	0.108356
"United States"	0.108224
ministry	0.108037
publisher	0.108034
club	0.107953
center	0.107869
leader	0.107745
AOL	0.10772
manager	0.107507
consortium	0.107357
one	0.107254
student	0.10714
Compaq	0.106753
"Time Warner"	0.106544
"Bell Atlantic"	0.10649
lender	0.106259
seller	0.105965
shareholder	0.10581
"mutual fund"	0.105347
trader	0.104575
BellSouth	0.104295
asset	0.104207
rival	0.103893
citizen	0.103553
management	0.103503
"local government"	0.103378
share	0.103299
facility	0.103083
station	0.103015
plan	0.102706
brand	0.102622
them	0.102611
"school district"	0.102399
President	0.102325
others	0.102223
Ford	0.101987
"central bank"	0.101891
Internet	0.101613
military	0.100614
studio	0.100121
resident	0.0998829
scientist	0.0996746
museum	0.0991817
"travel agency"	0.0987661
candidate	0.0987015
lawyer	0.0983184
taxpayer	0.09815
police	0.0981396
region	0.0980751
production	0.0977937
child	0.0977734
man	0.0976201
society	0.0974086
"consulting firm"	0.0973106
outlet	0.0972125
Yahoo	0.097155
Russia	0.0970948
politician	0.0968175
property	0.0968003
software	0.0963771
regulator	0.0961942
area	0.0960573
newspaper	0.0958362
media	0.0957814
development	0.0956638
committee	0.0955693
"political party"	0.095064
Disney	0.0949918
some	0.0949892
Republican	0.0948637
deal	0.094735
Computer	0.0944916
world	0.0944289
commission	0.0943626
job	0.0943519
Netscape	0.0941354
))
("Company of Men" (desc 1097.19) (sims
"last eight months"	0.0656366
"Michael Skakel"	0.0626462
Wilma	0.0590086
Zyvox	0.0518649
Deet	0.0509842
J.D	0.0509368
ISABEL	0.0493516
"Buzz Lightyear"	0.0481494
Archie	0.0475153
"Dave Cowens"	0.0463342
Brunner	0.0453734
"David Spade"	0.0452027
"front room"	0.0451007
Pisa	0.0448331
"Nicole Brown Simpson"	0.0447928
bullfighter	0.0430669
"Maria Hsia"	0.0429006
Berenson	0.0428134
crosshairs	0.0425503
Wagoner	0.042496
"New York Times Book Review"	0.0423121
Trudeau	0.0423059
Shriver	0.0419273
Foxx	0.0414888
Antony	0.0412049
"blink of an eye"	0.0407785
Shayler	0.0404548
"Turner Sports"	0.0404494
E.R	0.0403807
heavens	0.0402589
"interior decorator"	0.0400746
))
(Compaq (desc 25929.6) (sims
IBM	0.283487
Hewlett-Packard	0.260493
Dell	0.242096
Intel	0.235655
Cisco	0.224722
Motorola	0.222255
"Compaq Computer"	0.218815
oracle	0.206927
"Compaq Computer Corp."	0.204215
HP	0.197805
"Sun Microsystems"	0.186605
"Cisco Systems"	0.184088
EMC	0.181614
"Apple Computer"	0.181567
"Dell Computer"	0.178522
Sony	0.177839
Kodak	0.177197
Lucent	0.175611
Nortel	0.172492
"Texas Instruments"	0.170318
Mattel	0.170073
"Lucent Technologies"	0.16938
"Intel Corp."	0.168825
Xerox	0.165998
Microsoft	0.165363
TYCO	0.165325
Micron	0.164641
Novell	0.163407
"Dell Computer Corp."	0.162576
"America Online"	0.160001
"MCI WorldCom"	0.159707
"Silicon Graphics"	0.159102
Raytheon	0.157353
Toshiba	0.156847
Gillette	0.156627
BellSouth	0.155851
Honeywell	0.154282
Ericsson	0.154032
Boeing	0.151819
Netscape	0.15167
AOL	0.149668
Unisys	0.149624
Qualcomm	0.149144
NEC	0.147553
AMD	0.147461
"Procter &AMP; Gamble"	0.147375
Corel	0.147034
Seagate	0.145812
SGI	0.145106
WorldCom	0.144818
Dupont	0.144781
RJR	0.143249
McKesson	0.142889
Acer	0.141643
Ge	0.141566
Nokia	0.141084
Monsanto	0.140425
Pfizer	0.139875
Gateway	0.139802
NIKE	0.13837
RealNetworks	0.138292
"Philip Morris"	0.137589
"General Electric"	0.137155
Coca-Cola	0.136244
"Bell Atlantic"	0.136235
Hasbro	0.135708
"Time Warner"	0.134592
Seagram	0.134309
Sunbeam	0.133377
Philips	0.133112
GTE	0.131389
Hitachi	0.13138
"Hewlett-Packard Co."	0.131312
Aetna	0.13121
Pepsico	0.131046
"BP Amoco"	0.130945
"General Motors"	0.130914
"Hewlett Packard"	0.130312
"Applied Materials"	0.130293
Fujitsu	0.12972
Amgen	0.129312
"Oracle Corp."	0.128521
Lycos	0.1276
"Johnson &AMP; Johnson"	0.127589
apple	0.127422
"P&AMP;G"	0.127421
AMR	0.127146
Alcoa	0.126852
Intergraph	0.126772
"Lockheed Martin"	0.126638
SBC	0.126612
Ciena	0.126599
Citigroup	0.126529
Viacom	0.126409
"Packard Bell"	0.126347
CMGI	0.126071
"JDS Uniphase"	0.125936
"IBM Corp."	0.125413
Yahoo	0.125406
"Microsoft Corp."	0.124556
GM	0.124346
MCI	0.124345
Siemens	0.124163
Symantec	0.123797
EarthLink	0.12355
MindSpring	0.123468
Schwab	0.122962
Exxon	0.122511
"Thermo Electron"	0.122495
Amazon.com	0.121357
"Advanced Micro"	0.120768
DaimlerChrysler	0.120756
Lockheed	0.120718
Kellogg	0.120577
Intuit	0.120528
"National Semiconductor"	0.120451
ALZA	0.120086
Genentech	0.120051
Emulex	0.119884
Unilever	0.119879
UAL	0.119721
Warner-Lambert	0.119275
PEOPLESOFT	0.118338
Disney	0.118093
Merck	0.117932
"Ford Motor Co."	0.117284
Amazon	0.11724
Daimler	0.117187
"American Express"	0.11695
Qwest	0.116783
"Network Solutions"	0.116443
Checkfree	0.116423
"American Home Products"	0.115801
Softbank	0.115421
AutoNation	0.115287
"Home Depot"	0.115256
REVLON	0.114959
"Walt Disney Co."	0.114742
Chevron	0.114214
"America Online Inc."	0.1141
SmithKline	0.114082
"Eastman Kodak"	0.113313
BMW	0.11284
adobe	0.112612
ascend	0.11252
"Boeing Co."	0.112408
"Sun Microsystems Inc."	0.112261
Samsung	0.112092
Wal-Mart	0.111766
Ford	0.111741
Litton	0.111569
Biogen	0.111324
NCR	0.110979
DoubleClick	0.110911
"Boston Scientific"	0.110544
Weyerhaeuser	0.110317
"Global Crossing"	0.110308
"Learning Co."	0.110286
Corning	0.11019
Cendant	0.110131
coke	0.109833
Delphi	0.109582
Nissan	0.10935
Chrysler	0.108871
"Coca-Cola Co."	0.108866
"Deutsche Telekom"	0.108806
Autodesk	0.108614
"News Corp."	0.108121
"Smith &AMP; Wesson"	0.10801
Maytag	0.107712
Alcatel	0.107027
Sears	0.107019
"Nortel Networks"	0.106867
Broadcom	0.106784
company	0.106753
digital	0.10625
BankBoston	0.106102
Scientific-Atlanta	0.105899
Cabletron	0.105862
Genzyme	0.105743
excite	0.105654
"Waste Management"	0.105538
Bertelsmann	0.105191
ARCO	0.104867
Reebok	0.104807
Mannesmann	0.104731
"Hongkong Telecom"	0.104414
NiSource	0.103889
TRW	0.103759
"First Union"	0.103729
Nextel	0.103278
Vodafone	0.103094
Livent	0.102662
BankAmerica	0.102429
"American Home"	0.101894
Polaroid	0.101892
Starwood	0.101725
Georgia-Pacific	0.101669
VENATOR	0.101667
"Advanced Micro Devices"	0.101483
NORTHROP	0.101428
"Glaxo Wellcome"	0.101234
"J&AMP;J"	0.101208
"Real Networks"	0.101043
"Stride Rite"	0.101021
Volkswagen	0.100859
"Motorola Inc."	0.100819
E-LOAN	0.100795
"Computer Associates"	0.100651
Merrill	0.100576
Anheuser-Busch	0.100317
"Sony Corp."	0.100037
"Micron Technology"	0.100036
))
("Compaq Center" (desc 4461.78) (sims
KeyArena	0.255183
Alamodome	0.208519
"Delta Center"	0.2074
"Pauley Pavilion"	0.198387
"Continental Arena"	0.198114
"Reunion Arena"	0.177417
"Conseco Fieldhouse"	0.170336
"America West Arena"	0.170279
FleetCenter	0.163891
"Madison Square Garden"	0.163301
"Market Square Arena"	0.153159
"Staples Center"	0.152096
"Veterans Stadium"	0.151639
Metrodome	0.150959
"Nassau Coliseum"	0.142832
"Giants Stadium"	0.14211
"United Center"	0.132914
"Great Western Forum"	0.132608
Astrodome	0.130546
"Jacobs Field"	0.128469
"Shea Stadium"	0.128429
"Cinergy Field"	0.128413
"RCA Dome"	0.128123
"Edison Field"	0.127728
"Foxboro Stadium"	0.127154
"Tropicana Field"	0.127071
"Georgia Dome"	0.126915
"Turner Field"	0.126621
Meadowlands	0.126614
"Continental Airlines Arena"	0.126414
"Olympic Stadium"	0.124833
SkyDome	0.124407
"Busch Stadium"	0.123891
"Arrowhead Stadium"	0.123449
"Wrigley Field"	0.122584
"sports arena"	0.12177
"Mile High Stadium"	0.12108
"Dodger Stadium"	0.120706
"Texas Stadium"	0.114883
Kingdome	0.112931
"Pro Player Stadium"	0.11267
"County Stadium"	0.112621
"Qualcomm Stadium"	0.11256
"Oakland Coliseum"	0.112145
"Soldier Field"	0.111302
"RFK Stadium"	0.111097
"Civic Arena"	0.110585
"Lambeau Field"	0.110447
"Joe Louis Arena"	0.110419
"Sanford Stadium"	0.1103
"Comiskey Park"	0.110082
"Kyle Field"	0.109816
"MCI Center"	0.107452
Superdome	0.10679
"Devil Stadium"	0.106272
"Memorial Stadium"	0.105593
"Yankee Stadium"	0.104286
"rose garden"	0.103576
"Tokyo Dome"	0.102256
"Fenway Park"	0.102207
"Rose Bowl"	0.102136
"Miami Arena"	0.102084
"Melbourne Cricket Ground"	0.101866
Shea	0.101217
"Orange Bowl"	0.101179
"Rivers Stadium"	0.100012
"Marine Midland Arena"	0.0989873
"Camden Yards"	0.0987138
"Candlestick Park"	0.0976024
"Roland Garros"	0.0951523
"Boston Garden"	0.0944768
"Coors Field"	0.0939065
"Tiger Stadium"	0.0929631
"Cotton Bowl"	0.0922659
"Stade Velodrome"	0.0895205
"First Union Center"	0.0878442
"Enron Field"	0.0876766
"Pacific Bell Park"	0.087629
Wrigley	0.087227
Wembley	0.0860789
"Comerica Park"	0.0854153
"Safeco Field"	0.0848474
Coliseum	0.0842867
"Stamford Bridge"	0.0838125
Foxboro	0.0814754
"Pepsi Center"	0.0807237
"Trans World Dome"	0.0806763
"Old Trafford"	0.080147
"Fleet Center"	0.0791809
"Kauffman Stadium"	0.0783766
Fenway	0.077265
"Riviera Country Club"	0.0766283
"Sacramento State"	0.0766062
Monza	0.075519
"Pac Bell Park"	0.0751274
"Loch Lomond"	0.0741096
"Melbourne Park"	0.0740741
"Stade de France"	0.07387
Ballpark	0.0730814
"Oregon State"	0.0728673
"Philips Arena"	0.072469
"Kiel Center"	0.0724513
"Arizona State"	0.0721866
Pepperdine	0.0704359
"Ebbets Field"	0.0684551
Stormont	0.0683153
"National Stadium"	0.0680304
"World Basketball Championship"	0.0666735
"Carnegie Hall"	0.0665719
Vanderbilt	0.0664494
"Texas Motor Speedway"	0.0663092
Safeco	0.0642971
"Miami Fusion"	0.0641368
"Cal State Fullerton"	0.064111
"Gulfstream Park"	0.0641012
"Dallas Burn"	0.0640198
"San Antonio"	0.0636796
Highbury	0.0634468
"Augusta National Golf Club"	0.0627679
"Belmont Park"	0.0625191
"Oklahoma State"	0.0610588
"Polo Grounds"	0.060132
"Wembley Stadium"	0.0600258
Saratoga	0.0598742
"Pebble Beach"	0.0594951
"Pikes Peak"	0.0594283
Edmonton	0.058834
Medinah	0.0586632
"London Marathon"	0.0585053
Sacramento	0.0582142
"Royal Birkdale"	0.0581207
"Washington State"	0.0581046
Staples	0.057977
"Indian Wells"	0.0576609
"Augusta National"	0.0574776
"Jack Kent Cooke Stadium"	0.0570115
"Atlanta Motor Speedway"	0.0569472
Auburn	0.0569437
Augusta	0.0566694
"New York Liberty"	0.0563504
"Churchill Downs"	0.0559225
"Egyptian capital"	0.0558026
"Louisiana State"	0.0556877
"Pinehurst No. @"	0.0554205
Saint-Denis	0.0550855
"Phoenix Open"	0.0549347
"Alice Tully Hall"	0.0546558
"Seton Hall"	0.0542993
"National Tennis Center"	0.0542364
"U.S. Open"	0.0540928
ANAHEIM	0.0538355
"East Lake"	0.0537585
"Daytona International Speedway"	0.0536698
LSU	0.053557
"Golden State"	0.0535523
Carnoustie	0.0532668
"CHARLOTTE STING"	0.0530965
Valhalla	0.0529789
Kitzbuehel	0.052921
"West Ham"	0.0528217
Pir	0.0527523
"Kansas State"	0.0526426
Calgary	0.05227
Sahalee	0.0522322
Martinsville	0.0522009
"Wake Forest"	0.0521413
"Green Bay"	0.0520055
Macworld	0.0518281
Jacksonville	0.0516493
Southampton	0.051524
Imola	0.0513547
"Georgia Tech"	0.0510591
"Washington Mystics"	0.0510171
"New Hampshire International Speedway"	0.0508111
halftime	0.0506057
"Metropolitan Opera"	0.0505433
Daytona	0.0504892
Belfry	0.0503609
Leeds	0.0502712
"North Carolina State"	0.0502014
Pinehurst	0.0499522
Keeneland	0.0496702
"Joyce Theater"	0.0495991
"Fair Grounds"	0.0489649
"Pepsi @@@"	0.0486571
"Nevada-Las Vegas"	0.0486299
"Memorial Tournament"	0.0485086
"German Open"	0.0484662
"Mississippi State"	0.0483887
"Lipton Championships"	0.0483854
"Southwest Missouri State"	0.0483011
"Buick Invitational"	0.0482981
"Olympic Club"	0.0482962
"Barcelona Games"	0.0482683
TALLAHASSEE	0.0482263
"Santa Anita"	0.0481869
Sestriere	0.0479784
"Eastern Washington"	0.0479743
"Texas Tech"	0.0479396
Doral	0.0479237
))
("Compaq Computer" (desc 4399.87) (sims
"Applied Materials"	0.255274
"Dell Computer"	0.249516
"Texas Instruments"	0.236292
"Lucent Technologies"	0.232945
"Sun Microsystems"	0.232564
Compaq	0.218815
Hewlett-Packard	0.217526
"National Semiconductor"	0.204986
"Apple Computer"	0.2043
"Cisco Systems"	0.202423
"Eastman Kodak"	0.196443
"Silicon Graphics"	0.190571
"Micron Technology"	0.189605
Lucent	0.18745
Motorola	0.18652
"Hewlett Packard"	0.181554
"International Business Machines Corp."	0.177817
IBM	0.175949
Unisys	0.173172
Intel	0.171723
"Hewlett-Packard Co."	0.171088
Acer	0.169331
"Compaq Computer Corp."	0.16699
Cisco	0.166733
"General Electric"	0.165951
Qualcomm	0.164706
Novell	0.164079
"Advanced Micro Devices"	0.163972
Dell	0.157729
EMC	0.154584
oracle	0.151798
Fujitsu	0.150098
Micron	0.149743
Xerox	0.14452
"Dell Computer Corp."	0.143969
Intuit	0.140265
"Procter &AMP; Gamble"	0.138652
Honeywell	0.137039
Nokia	0.136527
Toshiba	0.136218
Ericsson	0.135912
"Netscape Communications"	0.135695
"American Express"	0.133397
"JDS Uniphase"	0.128899
"IBM Corp."	0.127938
Kodak	0.127233
"Symantec Corp."	0.127231
Merck	0.12567
HP	0.125414
"Nortel Networks"	0.124869
Gillette	0.124431
"Digital Equipment"	0.123996
"United Technologies"	0.122778
"Real Networks"	0.122483
"Sony Corp."	0.121887
"Legend Group"	0.121773
RealNetworks	0.119882
"Motorola Inc."	0.118962
"Adobe Systems"	0.118598
"America Online"	0.118167
Nortel	0.116687
"Philip Morris Cos."	0.116063
"Ford Motor"	0.115468
"Sun Microsystems Inc."	0.115125
NEC	0.114638
"Intel Corp."	0.113911
Hitachi	0.112459
Mattel	0.112084
"Levi Strauss"	0.111679
"Gillette Co."	0.110079
"International Paper"	0.107399
Symantec	0.107015
AMD	0.105693
"Glaxo Wellcome"	0.105677
Gateway	0.105452
"Johnson &AMP; Johnson"	0.105298
Philips	0.10481
Pfizer	0.104201
"Wal-Mart Stores"	0.103648
"Dayton Hudson"	0.10336
Seagate	0.103294
"MindSpring Enterprises"	0.103032
"Pepsico Inc."	0.102939
"Philip Morris"	0.102915
"Oracle Corp."	0.102857
Samsung	0.10215
"MCI WorldCom"	0.10209
"General Motors"	0.100987
"Hughes Electronics"	0.100983
Citigroup	0.099918
"J.C. Penney"	0.0983933
"Ford Motor Company"	0.0968608
"J.P. Morgan"	0.0967271
"Hughes Electronics Corp."	0.0962798
Dupont	0.0959596
"Merck &AMP; Co."	0.0955208
"Diamond Multimedia"	0.0955051
Casio	0.0952406
"Computer Associates"	0.0950898
"Dow Jones &AMP; Co."	0.094457
"Hong Kong Telecom"	0.0942472
Ge	0.0936587
"Times Co."	0.0935014
Pepsico	0.0933679
"Home Depot"	0.0931458
WorldCom	0.0926252
Coca-Cola	0.0923061
Anheuser-Busch	0.0922637
"Qwest Communications"	0.0920931
"American International Group"	0.0917395
Diageo	0.0917337
"Bay Networks"	0.0915782
GTE	0.0915497
Corel	0.090619
"American Home"	0.0900577
Bestfoods	0.0899719
Epson	0.0899133
Alcatel	0.08885
"Packard Bell"	0.0888447
Hasbro	0.0879304
Caterpillar	0.0877441
"Allied Signal"	0.0874706
Yahoo	0.0872536
"Cisco Systems Inc."	0.0868813
"Network Solutions"	0.0860083
Sony	0.0855248
Broadcom	0.0854509
Intergraph	0.0852391
Wachovia	0.0851173
"Exxon Mobil"	0.0846264
Maytag	0.0845745
"RJR Nabisco"	0.0841927
Hewlett	0.0841651
Autodesk	0.0841088
"Coca-Cola Co."	0.0840777
"Chevron Corp."	0.0839525
"Charles Schwab"	0.0833679
"Bristol-Myers Squibb"	0.0832796
adobe	0.0832394
BankAmerica	0.0830504
Biogen	0.0827927
"SBC Communications"	0.0823179
Netscape	0.0820723
"Cendant Corp."	0.0816902
"UAL Corp."	0.0810865
Amgen	0.0808419
"Federated Department Stores"	0.0806844
"Delta Air Lines"	0.0801294
"American Home Products"	0.0800276
Frito-Lay	0.0797764
Alcoa	0.0797282
"SmithKline Beecham"	0.0797097
"Pfizer Inc."	0.0796883
Kellogg	0.0796562
"British Telecom"	0.0795525
Wal-Mart	0.079175
UAL	0.0791344
Amazon.com	0.0788237
PEOPLESOFT	0.0787173
Checkfree	0.0787093
"Mattel Inc."	0.07831
"Gap Inc."	0.0782611
"Andersen Consulting"	0.0777505
"Sprint PCS"	0.077719
Scientific-Atlanta	0.0776878
"Sara Lee"	0.0774717
"Eli Lilly"	0.0772047
"NEC Corp."	0.0765007
"Circuit City"	0.0764433
Federated	0.0764351
"Liberty Media"	0.0763927
Softbank	0.0761203
"Cadbury Schweppes"	0.0761078
"Netscape Communications Corp."	0.0759661
Chevron	0.0757278
SBC	0.0756751
Westinghouse	0.0753879
RAMBUS	0.0751922
"Microsoft Corp."	0.0746934
NIKE	0.0746572
"Merrill Lynch"	0.0745555
apple	0.0745009
"Network Associates"	0.0743502
"Lockheed Martin Corp."	0.0743084
"BankAmerica Corp."	0.0739822
Nextel	0.0739001
Halliburton	0.0735484
Panasonic	0.0727679
Seagram	0.072715
"Boeing Co."	0.0726552
"Apple Computer Inc."	0.072513
Priceline.com	0.0723553
"Red Hat"	0.0722881
"J&AMP;J"	0.072004
Monsanto	0.0714871
"Volkswagen AG"	0.0713989
Citicorp	0.0713828
Kmart	0.0712737
NatWest	0.0709932
SmithKline	0.0709294
))
("Compaq Computer Corp." (desc 8179.63) (sims
"Sun Microsystems Inc."	0.246489
"Dell Computer Corp."	0.23353
"Hewlett-Packard Co."	0.228906
"Intel Corp."	0.221941
"Cisco Systems Inc."	0.221158
Compaq	0.204215
"Motorola Inc."	0.192785
"IBM Corp."	0.186299
"Microsoft Corp."	0.174742
"Lucent Technologies Inc."	0.169218
"Compaq Computer"	0.16699
"Oracle Corp."	0.159364
"EMC Corp."	0.157903
"International Business Machines Corp."	0.152993
"America Online Inc."	0.147136
"Lucent Technologies"	0.141762
"Netscape Communications Corp."	0.137727
"Coca-Cola Co."	0.137536
"Apple Computer Inc."	0.135712
"Sun Microsystems"	0.131673
"Advanced Micro Devices Inc."	0.130672
"Symantec Corp."	0.128685
IBM	0.125948
"Boeing Co."	0.125523
"Eastman Kodak Co."	0.121653
Motorola	0.121602
Hewlett-Packard	0.120791
"General Electric Co."	0.11669
"Walt Disney Co."	0.115738
Pepsico	0.114194
"Apple Computer"	0.114141
"Computer Associates"	0.112801
"Lockheed Martin Corp."	0.112008
"Cisco Systems"	0.110065
"Legend Group"	0.109016
"Dell Computer"	0.106989
"American Home Products"	0.106665
Mattel	0.106549
"General Motors Corp."	0.106141
Seagate	0.105316
"Philip Morris"	0.10519
"America Online"	0.10509
"Ford Motor Co."	0.104719
"Applied Materials"	0.104639
Intel	0.104484
Cisco	0.104475
Emulex	0.104026
Ericsson	0.103847
"Sony Corp."	0.103615
"National Semiconductor"	0.102331
Lucent	0.101979
Alcatel	0.100063
"Silicon Graphics"	0.0998118
"T Corp."	0.0991601
"Lotus Development Corp."	0.0990274
Novell	0.0978324
"Glaxo Wellcome"	0.0973055
UBS	0.0972042
EMC	0.0966959
"Federated Department Stores"	0.0962522
"Advanced Micro Devices"	0.0952965
"Micron Technology"	0.0949035
"Texas Instruments"	0.0945643
"Global Crossing Ltd."	0.094189
"Levi Strauss &AMP; Co."	0.0939356
McKesson	0.0938461
HP	0.0938072
Pfizer	0.0937963
Alcoa	0.092752
Hasbro	0.0926883
TYCO	0.0926101
"MindSpring Enterprises"	0.0921884
Xerox	0.092043
Nokia	0.0918394
"MCI WorldCom"	0.0917187
"Digital Equipment Corp."	0.091427
"Learning Co."	0.0911802
Dupont	0.0911535
"BP Amoco"	0.090968
"Nortel Networks"	0.090921
Dell	0.0904974
Olivetti	0.0904017
"Mattel Inc."	0.0901992
"Johnson &AMP; Johnson"	0.0899222
Viacom	0.0898311
"Continental Airlines"	0.0895471
"Enron Corp."	0.0894718
Nortel	0.0893725
Kodak	0.0891222
AMD	0.0889039
"Airbus Industrie"	0.0888851
"Philip Morris Cos."	0.0879726
"Hughes Electronics"	0.087909
Monsanto	0.0878512
"Lockheed Martin"	0.087828
Unilever	0.08764
Enron	0.0875195
"Pfizer Inc."	0.0871104
Bestfoods	0.0870576
Sunbeam	0.0869925
"Eastman Kodak"	0.0868766
"Merck &AMP; Co."	0.0868549
"NEC Corp."	0.0865624
Raytheon	0.0863593
"New York Times Co."	0.0863391
ExciteAtHome	0.086229
LVMH	0.0862216
"MCI Worldcom Inc."	0.0860502
"Hongkong Telecom"	0.0859429
"Delphi Automotive Systems"	0.0857897
"Sprint Corp."	0.0855552
Novartis	0.0854215
"Smith &AMP; Wesson"	0.0853577
RealNetworks	0.0850613
Microsoft	0.0850403
Hitachi	0.0847613
"Northern Telecom"	0.0843766
"UAL Corp."	0.0843422
"Xerox Corp."	0.0842876
"Conde Nast"	0.0842723
Symantec	0.0842353
Daimler-Benz	0.0840517
Genzyme	0.0839867
NEC	0.0837952
"General Electric"	0.0837716
Warner-Lambert	0.083676
"Procter &AMP; Gamble"	0.0834126
"Fannie Mae"	0.0832818
Healtheon/WebMD	0.0832116
WorldCom	0.0826322
Aetna	0.0825504
"Gillette Co."	0.08251
"Diamond Multimedia"	0.0823108
oracle	0.0822633
"Adobe Systems"	0.0822338
"Abbott Laboratories"	0.0822079
Boeing	0.0820672
Gillette	0.0817958
"Time Warner Inc."	0.0817788
Honeywell	0.0816232
Autodesk	0.0815977
"WorldCom Inc."	0.0814432
"SBC Communications"	0.0812351
"De Beers"	0.0811233
CMGI	0.0810911
"Raytheon Co."	0.0810569
"British Aerospace"	0.0810228
REVLON	0.0807893
"Thermo Electron"	0.0806329
"JDS Uniphase"	0.0804449
"Hearst Corp."	0.0803456
UAL	0.0803243
"SmithKline Beecham"	0.080319
Seagram	0.0800643
Anheuser-Busch	0.0800513
"Time Warner"	0.0800508
"General Motors"	0.0798916
"Tribune Co."	0.0797303
"Softbank Corp."	0.0796749
Merck	0.0794576
"Times Co."	0.0788521
RJR	0.0786109
"Seagram Co."	0.0782913
Broadcom	0.0782267
"SBC Communications Inc."	0.0778883
Bertelsmann	0.0778508
"Home Depot"	0.0773669
Mannesmann	0.0773009
GTE	0.0771218
"Netscape Communications"	0.0770926
"Levi Strauss"	0.0770884
BankAmerica	0.0769767
"Deutsche Bank"	0.0768653
"Times Mirror"	0.076821
ALZA	0.0766297
Lockheed	0.0766
Unisys	0.0764395
GANNETT	0.0764153
SBC	0.0762646
"Dow Jones &AMP; Co."	0.0758862
Toshiba	0.0758676
"Bell Atlantic Corp."	0.0758553
Micron	0.0756585
Inc.	0.0756564
Netscape	0.0752225
Frito-Lay	0.0751765
"Deutsche Telekom"	0.0751405
Gateway	0.0750418
"BellSouth Corp."	0.0748576
BMW	0.0746513
"Sara Lee"	0.074506
"Ford Motor"	0.0744576
"News Corp."	0.074367
Amazon.com	0.0743408
BellSouth	0.0742559
"Real Networks"	0.0741287
Philips	0.0740878
NatWest	0.0740871
Omnicom	0.0740126
CNET	0.0737575
))
("comparative literature" (desc 1672.55) (sims
"chemical engineering"	0.251326
"electrical engineering"	0.248305
zoology	0.246919
linguistics	0.245912
"political science"	0.234682
"mechanical engineering"	0.228694
anthropology	0.226226
"computer science"	0.222976
biochemistry	0.218406
"social work"	0.204396
sociology	0.199724
"physical education"	0.196764
microbiology	0.196068
"civil engineering"	0.186431
pharmacology	0.178779
"environmental science"	0.165296
criminology	0.161696
neurobiology	0.160929
biophysics	0.152813
"political economy"	0.148858
"urban planning"	0.148102
physiology	0.142092
"molecular biology"	0.141297
"fine arts"	0.140033
ophthalmology	0.138824
psychiatry	0.134837
psychology	0.132724
"biological science"	0.131578
mathematics	0.131023
paleontology	0.125867
biology	0.125516
meteorology	0.125267
Botany	0.125074
"preventive medicine"	0.123804
radiology	0.123101
"nuclear physics"	0.121305
gynecology	0.119421
archaeology	0.117446
Pediatrics	0.116553
Urology	0.115385
geology	0.115379
astrophysics	0.115328
physics	0.11219
neurology	0.111169
neuroscience	0.110613
"social science"	0.109444
epidemiology	0.10631
pathology	0.105313
"teachers college"	0.10511
dermatology	0.104925
theology	0.10383
Immunology	0.102153
Toxicology	0.101319
seismology	0.0980631
geophysics	0.0977054
professorship	0.0971512
astronomy	0.0970095
Sanskrit	0.094704
aeronautics	0.0944856
oceanography	0.0922754
dentistry	0.0921336
nursing	0.0917357
neuroscientist	0.09131
horticulture	0.0905924
"elementary education"	0.0897673
"graduate student"	0.0891443
undergraduate	0.088461
oncology	0.087932
"earth science"	0.0877496
geriatrics	0.0871295
archeology	0.0867435
cosmologist	0.0862609
"internal medicine"	0.0849176
Swahili	0.0844356
obstetrics	0.0836326
"physical therapy"	0.0818681
"special education"	0.0816564
hydrology	0.0815949
civics	0.0804904
divinity	0.0793205
"liberal arts"	0.0784283
Kiswahili	0.0768004
geography	0.07597
genetics	0.0737321
"residence hall"	0.0732433
Yiddish	0.0731566
"artificial intelligence"	0.0726571
Hindi	0.0705756
"University of Missouri"	0.0705682
endocrinology	0.0693995
MBA	0.0692332
"North Carolina State University"	0.069229
"Public Affairs"	0.0687872
"English professor"	0.0686354
agronomy	0.068148
"information science"	0.0679048
"graduate school"	0.0676402
Talmud	0.0670681
Cardiology	0.0666887
astrophysicist	0.0665719
Urdu	0.0661511
ecology	0.0655494
"New Testament"	0.0651408
"Old Testament"	0.0649837
Provost	0.0645038
Hebrew	0.064362
"San Francisco State University"	0.0642243
Creole	0.0640043
Ph.D	0.0638091
ergonomics	0.063686
paleontologist	0.0624344
geneticist	0.0620613
jurisprudence	0.0617859
"Baylor University"	0.0616882
"veterinary medicine"	0.0616596
"Yale Law School"	0.0613662
sociologist	0.0609046
folklore	0.0601439
"adult education"	0.0601328
"Fordham University"	0.0598828
"fine art"	0.0596655
Afrikaans	0.0582187
"business school"	0.0581433
"medical science"	0.0580392
"Hebrew University"	0.0577314
ethicist	0.0574243
endocrinologist	0.0567905
"history department"	0.0566146
"visiting professor"	0.0559919
"University of Nebraska"	0.0559211
"master's degree"	0.0546731
"general knowledge"	0.0537254
Cantonese	0.0535256
"Qinghua University"	0.0535141
Putonghua	0.0534931
Mandarin	0.0531995
"Auburn University"	0.052974
K-@@	0.0526044
"University of Zimbabwe"	0.052515
entrepreneurship	0.0519813
"Southern Methodist University"	0.0519762
dissertation	0.0516126
Aramaic	0.0515376
"economics department"	0.0514915
algebra	0.0511967
urbanism	0.0511036
"city planning"	0.0510323
"Harvard Business School"	0.0506512
"computer scientist"	0.0505961
"Arizona State University"	0.0505004
"Print Shop"	0.0502458
bioengineering	0.0501832
"School of Public Health"	0.0499753
lecturing	0.0499065
geophysicist	0.0495513
biochemist	0.0495036
"Peking University"	0.0492155
"Carnegie Mellon University"	0.0491708
"Harvard Law School"	0.0486803
"computer graphics"	0.0484852
"natural science"	0.0484216
"computer operation"	0.0484029
"George Washington University"	0.0482521
"University of Arkansas"	0.0477878
"computer programming"	0.0472193
"Northeastern University"	0.047068
"University of Hawaii"	0.0468521
"aerospace engineer"	0.0465125
"Michigan State University"	0.0460955
"Colorado State University"	0.0460705
agribusiness	0.045832
"Kennedy School of Government"	0.0455168
aerodynamics	0.0455137
"New York University"	0.0453738
"Kansas State University"	0.0452517
"Rutgers University"	0.0449723
"John F. Kennedy School of Government"	0.0449657
epidemiologist	0.0446482
"Brandeis University"	0.0440201
WSU	0.0438916
"network administrator"	0.043752
"University of Maryland"	0.0435791
Icelandic	0.043482
"Makerere University"	0.0433036
"Media Lab"	0.0431528
oncologist	0.0428723
"human factor"	0.0425531
non-Catholic	0.042504
"College of Charleston"	0.0422417
"University of China"	0.0417236
bioethicist	0.0412795
"Emory University"	0.0410601
"Wright State University"	0.0407897
"bird watcher"	0.040629
"University of Massachusetts"	0.0404972
"Ohio State University"	0.0402255
))
(compare (desc 2976.01) (sims
diag	0.130583
chrono	0.12968
ECON	0.0926118
locator	0.0770151
Financials	0.0721933
folio	0.0644855
Dems	0.059813
timeline	0.0590286
Auger	0.0553576
"nearly @@@ million yuan"	0.054357
COS.	0.0542348
hr	0.0528408
"more than @.@ billion"	0.0512533
"Smith Barney"	0.0503247
riddance	0.0481471
chronology	0.0477392
qtr	0.0461156
CWS	0.0455512
"one million dollars"	0.0455396
All-Tech	0.0452262
"tax change"	0.0436139
"more than @@@ million US dollars"	0.0431709
"one million US dollars"	0.0431318
"Three hundred"	0.0425042
Propulsid	0.0418499
TheStreet.com	0.0416842
"three pitchers"	0.0402342
"more than @@@,@@@ yuan"	0.0400109
))
(comparison (desc 72664.5) (sims
contrast	0.130734
similarity	0.0926149
parallel	0.0878623
reference	0.0848291
analysis	0.0822146
analogy	0.0751767
difference	0.0741257
connection	0.0735323
distinction	0.0726508
suggestion	0.0719419
description	0.0704738
criticism	0.069297
resemblance	0.0692448
response	0.0691196
term	0.0690113
reaction	0.0688483
prediction	0.0652569
characterization	0.0650449
calculation	0.0648742
argument	0.0627941
comment	0.0627496
notion	0.0618309
assessment	0.0615629
adjustment	0.0612656
question	0.0609384
correlation	0.0603154
conclusion	0.0598524
measurement	0.058634
discussion	0.0585661
attention	0.0581288
review	0.0579408
interpretation	0.0578579
scrutiny	0.0578507
allusion	0.0575203
addition	0.0574425
number	0.0570799
evaluation	0.0569184
examination	0.0566888
study	0.0565121
trend	0.0563548
approach	0.056047
idea	0.0558263
projection	0.0557666
fact	0.0557202
relationship	0.0554938
observation	0.0552766
discrepancy	0.0548857
poll	0.0546534
data	0.0546208
survey	0.0542086
choice	0.0540381
tribute	0.0539795
experience	0.0537382
challenge	0.0537224
picture	0.0536958
standard	0.0533555
disclosure	0.0533043
aspect	0.0531786
answer	0.0528775
test	0.0526487
assertion	0.0524587
revision	0.0520654
contact	0.0519151
image	0.0518832
speculation	0.0513605
statistic	0.0513292
scenario	0.0512779
growth	0.0512223
debate	0.0511282
estimate	0.0510741
advice	0.0510128
encounter	0.0509738
measure	0.0509545
relation	0.050924
disparity	0.0509089
conversation	0.0508126
identification	0.0507906
logic	0.0506445
critique	0.0505868
thing	0.0504441
thought	0.0503814
perception	0.0503445
rumor	0.0502815
explanation	0.0501705
competition	0.04989
sale	0.0498675
finding	0.0497854
exchange	0.0496721
profile	0.0496222
kind	0.0493479
performance	0.0492287
improvement	0.0490554
compromise	0.0490464
controversy	0.0490275
remark	0.0490131
coverage	0.048957
story	0.0489216
accusation	0.0488863
joke	0.048617
analyses	0.0484734
testing	0.0483117
detail	0.0483013
memory	0.0482748
situation	0.048155
access	0.0481396
value	0.0481375
proportion	0.047748
rating	0.0477119
volume	0.0475547
information	0.0473295
assumption	0.0471407
publicity	0.047122
ranking	0.0470604
respect	0.0468871
homage	0.046885
combination	0.0468693
pattern	0.0468146
opinion	0.0467393
irony	0.0467366
message	0.0467114
gap	0.0466902
ratio	0.0465889
confrontation	0.0465695
matchup	0.046447
sample	0.0463198
reflection	0.0462868
recognition	0.0462309
strategy	0.0462308
introduction	0.0462194
clue	0.0461762
impression	0.0461526
ending	0.0460719
statement	0.0460499
history	0.0459026
example	0.0458602
period	0.0456982
possibility	0.0456516
concept	0.0456338
lesson	0.0456086
linkage	0.0455911
word	0.045453
treatment	0.0454418
success	0.0453659
AD	0.0453493
exposure	0.0452766
impact	0.0452281
type	0.0452076
content	0.0450961
quality	0.0450884
indicator	0.0450868
balance	0.0450776
map	0.0450684
alternative	0.0450644
manner	0.04503
appeal	0.0449266
expectation	0.0448485
struggle	0.0447133
chart	0.0446678
judgment	0.0446398
compliment	0.0446262
evidence	0.0445371
research	0.0445091
conflict	0.0443168
juxtaposition	0.0442864
hype	0.0442856
development	0.0442437
amount	0.0442252
dialogue	0.0442115
interview	0.0442087
tradeoff	0.044131
reporting	0.0441261
selection	0.0440944
definition	0.0440881
recommendation	0.0438675
update	0.0438442
proposal	0.0438165
experiment	0.043781
prospect	0.0437757
complaint	0.0437435
effect	0.0437163
contribution	0.0436858
reading	0.0436109
stuff	0.0435718
endorsement	0.0435595
implication	0.0435592
appraisal	0.0435474
snapshot	0.0435367
sampling	0.0435119
warning	0.0433278
objection	0.0433089
synergy	0.0432473
decision	0.0432375
theory	0.0431983
account	0.0431809
quarter	0.0431303
interaction	0.0430684
size	0.0430432
behavior	0.0430217
investigation	0.0428917
matchups	0.0428225
))
(compartment (desc 24792) (sims
cabin	0.1204
container	0.104486
drawer	0.101899
Bin	0.101555
trunk	0.0985184
"gas tank"	0.0983001
cockpit	0.0948261
"escape hatch"	0.0947181
windscreen	0.0901443
tank	0.0883534
"engine room"	0.0874088
closet	0.0823376
bag	0.0799493
pocket	0.0797856
hatch	0.0794068
garage	0.0780413
engine	0.0764423
carriage	0.0749732
module	0.0749591
bogy	0.0748738
cage	0.0742434
suitcase	0.0735623
box	0.0735009
"garbage can"	0.0728597
"storage room"	0.0725903
backpack	0.0721956
bedroom	0.0721874
room	0.0721641
rear	0.0711463
crewmen	0.0690169
"water tank"	0.0688005
undercarriage	0.0687793
basement	0.0686359
wreckage	0.0686138
"storage area"	0.068108
cab	0.0669311
locker	0.065921
fuselage	0.065479
hull	0.0649994
"glove compartment"	0.0648766
pouch	0.0645902
galley	0.0637186
"deposit box"	0.0636786
wheel	0.0632165
propeller	0.0631414
refrigerator	0.0631234
"cargo container"	0.0630873
window	0.0626432
space	0.0621759
pipe	0.0621659
jar	0.0618315
silo	0.0615562
luggage	0.0611894
cave	0.0611655
bathroom	0.0611433
tray	0.0609271
"waiting room"	0.0606551
briefcase	0.0605818
chamber	0.0604529
freezer	0.0599847
"trash can"	0.0599472
tire	0.0599361
rack	0.0595361
cavity	0.0593398
thruster	0.0593272
elevator	0.0590937
tunnel	0.0590328
bunker	0.0583946
pit	0.0583223
toilet	0.0580865
Warehouse	0.0580333
door	0.0576323
hangar	0.0575492
cellar	0.0574897
interior	0.0573001
trailer	0.0571362
axle	0.0566487
enclosure	0.0561075
section	0.0558823
Bay	0.0557781
fender	0.0556498
capsule	0.0555322
truck	0.0554164
tube	0.0552488
crevice	0.055164
windshield	0.0549678
deck	0.0548798
coffin	0.0543618
fleet	0.0543068
"parking lot"	0.0537783
frame	0.0533316
cylinder	0.0532028
attic	0.0531086
reactor	0.0529861
"paper bag"	0.0529066
wagon	0.0526343
cooler	0.0526075
underpass	0.0523654
chassis	0.0521444
cubicle	0.0521122
bathtub	0.0518933
"propulsion system"	0.0518002
occupant	0.0517156
bed	0.0516394
vent	0.0514799
storage	0.0512451
"crew member"	0.0511036
cellblock	0.0510424
tent	0.0506044
"living quarters"	0.0504564
submarine	0.0504506
pantry	0.0504448
duct	0.0503731
"black box"	0.0502848
hippocampus	0.0502583
parcel	0.0501882
layer	0.0500235
"display case"	0.0500173
shaft	0.0498748
"living room"	0.0497961
lounge	0.049775
shelf	0.0497605
"dining room"	0.0496298
mirror	0.0494599
"conference room"	0.0494432
kitchen	0.0492337
bumper	0.048898
"duffel bag"	0.0487327
headlight	0.0484756
cupboard	0.0483577
oven	0.04826
bulkhead	0.0481646
"hotel room"	0.0480178
cell	0.048007
slot	0.0477755
"back room"	0.0476885
"file cabinet"	0.047604
motor	0.047578
pool	0.0475685
roof	0.0474987
restroom	0.0474743
battery	0.0473538
apartment	0.0471778
envelope	0.0471777
"landing gear"	0.0470823
Dumpster	0.0469972
Tyre	0.0468155
reservoir	0.0468106
sensor	0.0467852
vessel	0.0467495
passenger	0.0466891
vault	0.0466083
classroom	0.0465752
valve	0.0465723
alcove	0.0465356
"video screen"	0.04649
depot	0.0464582
auditorium	0.0463653
pot	0.0463049
crate	0.0462921
terminal	0.0462639
concourse	0.0461959
component	0.0460467
"air bag"	0.045864
debris	0.0455547
seating	0.0454636
mailbox	0.045365
"shopping bag"	0.0453227
insulation	0.0452609
tanker	0.0451873
"trash bin"	0.0450783
"rearview mirror"	0.0449244
tub	0.0448526
wreck	0.0448139
boat	0.044803
fridge	0.0448007
brake	0.0447737
flotilla	0.0447169
console	0.0445994
membrane	0.0445254
skylight	0.0444601
cargo	0.0444067
floorboard	0.0443888
"storage space"	0.0443642
configuration	0.0442891
nozzle	0.0442765
chapel	0.0440553
"patrol car"	0.0439773
shack	0.0439765
plastic	0.0439726
Tower	0.0439235
wiring	0.04392
passageway	0.0437582
aisle	0.0437563
stack	0.0437307
hulk	0.0437063
socket	0.0436304
rudder	0.0435755
malfunction	0.0433315
culvert	0.043154
))
(compass (desc 10131.6) (sims
"sense of direction"	0.0761887
guidepost	0.0712571
altimeter	0.0667287
thermometer	0.0624494
"guardian angel"	0.0565248
"global positioning system"	0.0556362
thermostat	0.0548211
"sense of purpose"	0.0547519
speedometer	0.0544882
notepad	0.0544691
equilibrium	0.0534934
gizmo	0.0531176
"radio transmitter"	0.051446
sensor	0.0507528
scanner	0.0505647
timer	0.0505068
Projector	0.0496625
"tape measure"	0.0487287
walkie-talkie	0.0486009
"magnifying glass"	0.0481027
blinder	0.0478093
"fig leaf"	0.0476809
ballast	0.0475722
barometer	0.0474822
GPS	0.0474224
"frame of reference"	0.0467864
"goose bumps"	0.0465524
stopwatch	0.0460165
"safety valve"	0.0456655
beepers	0.0455831
gauge	0.0453411
flashlight	0.0452115
stethoscope	0.0438985
"petri dish"	0.0436397
instinct	0.043602
binocular	0.0430786
circuitry	0.0430323
joystick	0.0429066
conundrum	0.0428143
sonar	0.0421447
amplifier	0.0420757
"laser printer"	0.0419475
"road map"	0.0418817
"first-aid kit"	0.0418814
Grounding	0.0416339
readout	0.0409061
"videocassette recorder"	0.0406589
underpinning	0.0405317
gyroscope	0.0404492
"biological clock"	0.0403227
firewall	0.0401692
VCR	0.0401184
"communication system"	0.0400594
))
(compassion (desc 30179.6) (sims
empathy	0.192876
humility	0.186423
courage	0.181778
sympathy	0.171923
honesty	0.16272
decency	0.160786
kindness	0.157442
tolerance	0.156168
patience	0.14856
affection	0.144532
dignity	0.141869
respect	0.138745
love	0.135732
forgiveness	0.134854
patriotism	0.134167
warmth	0.133852
loyalty	0.131912
generosity	0.131046
Creativity	0.124501
passion	0.121438
wisdom	0.119429
sincerity	0.118489
gentleness	0.118441
sorrow	0.117928
Openness	0.117883
"good will"	0.11739
sensitivity	0.117211
"common sense"	0.115713
fairness	0.115192
devotion	0.113689
dedication	0.113604
candor	0.113281
pride	0.113049
civility	0.112869
determination	0.112701
humor	0.112324
toughness	0.112117
teamwork	0.112039
tenderness	0.110277
perseverance	0.109941
restraint	0.109747
enthusiasm	0.108647
solidarity	0.108423
mercy	0.108297
pity	0.107972
statesmanship	0.107666
gratitude	0.106873
fortitude	0.106
integrity	0.105737
professionalism	0.10533
selflessness	0.104688
tenacity	0.104535
admiration	0.10448
prudence	0.104466
grace	0.10365
bravery	0.103465
intellect	0.103187
emotion	0.102602
pragmatism	0.101573
sadness	0.101506
goodwill	0.101356
self-control	0.1012
wit	0.100877
resilience	0.100001
reverence	0.0998855
clarity	0.0992607
moderation	0.0988565
sense	0.0982211
faith	0.0976234
maturity	0.0974936
unity	0.0973914
anger	0.0973243
ethic	0.0969269
"sense of responsibility"	0.0968164
self-sacrifice	0.0967625
discipline	0.0964661
"hard work"	0.095823
idealism	0.095486
poise	0.0954665
humanity	0.0953573
intelligence	0.0953146
foresight	0.0950428
Sacrifice	0.0946923
understanding	0.0939864
morality	0.0935841
confidence	0.0932758
grief	0.0931257
spirituality	0.0930245
modesty	0.0930052
goodness	0.0925386
self-confidence	0.092516
subtlety	0.0924529
remorse	0.0919449
eloquence	0.0918503
flexibility	0.0918023
conscience	0.0915606
repentance	0.0915561
diligence	0.0911522
joy	0.0910347
stamina	0.0909784
caution	0.090944
spirit	0.0908189
seriousness	0.0903924
charm	0.0901832
self-awareness	0.0898205
skill	0.0896748
trust	0.0896392
happiness	0.089069
curiosity	0.0885918
responsibility	0.0880089
sportsmanship	0.0880019
equality	0.0877242
diversity	0.0877208
strength	0.0872488
insight	0.0871509
optimism	0.0870021
willingness	0.0867747
commitment	0.0866646
"sense of humor"	0.0866421
healing	0.0864751
sophistication	0.0863439
graciousness	0.0858272
desire	0.085671
feeling	0.0856514
appreciation	0.0855787
resolve	0.0855264
ingenuity	0.0854977
imagination	0.0849816
inclusiveness	0.0848319
originality	0.0846976
precision	0.0843969
excitement	0.0843595
vision	0.0843194
brotherhood	0.0841583
nostalgia	0.0840129
conservatism	0.0839339
hate	0.0839132
persistence	0.0839088
talent	0.0837549
nonviolence	0.0835714
knowledge	0.0834996
vitality	0.0834712
self-discipline	0.0831829
regret	0.0831522
cohesion	0.0830639
hatred	0.0828316
realism	0.0823581
urgency	0.0823398
camaraderie	0.0818081
elegance	0.0817038
ambition	0.0816694
friendship	0.0815354
awareness	0.0813195
spontaneity	0.081135
bipartisanship	0.0808742
harmony	0.0807727
contrition	0.080687
willpower	0.0806781
frustration	0.0806216
solicitude	0.0803858
intensity	0.0803447
unselfishness	0.0802679
charisma	0.0801221
pathos	0.0799996
decisiveness	0.0795241
transparency	0.0792895
motivation	0.0792116
freedom	0.0791842
self-restraint	0.0790492
intimacy	0.0790168
vigor	0.078985
consistency	0.0789588
beauty	0.0788518
justice	0.0785872
cynicism	0.0782394
togetherness	0.0773251
bitterness	0.0770846
judgment	0.0767305
care	0.0764075
reconciliation	0.0762577
accountability	0.0760199
introspection	0.0759816
logic	0.0755199
skepticism	0.0754766
benevolence	0.0753802
self-respect	0.0753301
resentment	0.0752243
comfort	0.0749739
boldness	0.074946
endurance	0.0749291
disdain	0.0747891
hope	0.0745318
frankness	0.0745132
encouragement	0.074379
hospitality	0.074132
flair	0.0740068
self-esteem	0.0739857
shame	0.0739107
ability	0.0738885
anguish	0.0735398
))
(compatibility (desc 9287.96) (sims
reliability	0.114311
interoperability	0.102407
suitability	0.081931
preparedness	0.078937
competence	0.0768335
proficiency	0.0753977
compliance	0.0739847
soundness	0.0730435
solvency	0.0730159
mobility	0.0727281
"quality control"	0.0725824
competency	0.0711556
adequacy	0.0703868
durability	0.0699392
efficiency	0.0696787
readiness	0.0696637
efficacy	0.0689228
diversification	0.0688927
viability	0.0684654
fairness	0.0674993
cost-effectiveness	0.0669896
commonality	0.0658653
accuracy	0.0657406
credibility	0.0656707
capability	0.0653152
diversity	0.064193
fitness	0.0636941
consistency	0.0634245
integration	0.0629431
interaction	0.0626243
coordination	0.0625289
doneness	0.0616289
sustainability	0.0616247
competitiveness	0.0613023
interdependence	0.0612838
incompatibility	0.0604167
integrity	0.0604164
harmonization	0.0603963
"co- operation"	0.0602631
flexibility	0.0600676
linkage	0.0600645
purity	0.0598614
connectivity	0.0597175
confidentiality	0.059516
alignment	0.0594779
"job security"	0.0589954
standardization	0.0589522
cleanliness	0.0583927
accountability	0.0582712
loyalty	0.0573788
continuity	0.0573217
familiarity	0.0572513
uniformity	0.0571747
worthiness	0.0571672
effectiveness	0.0570428
interface	0.0570376
breadth	0.0570356
complexity	0.0568807
honesty	0.056806
accessibility	0.056719
stability	0.0565274
"economies of scale"	0.056056
usefulness	0.0553709
authenticity	0.0550798
Openness	0.0549164
qualification	0.0546415
appropriateness	0.0544446
transparency	0.0543969
"peace of mind"	0.0543662
availability	0.0539448
objectivity	0.0538851
literacy	0.0538492
sophistication	0.0537535
complementarity	0.0531349
intimacy	0.0525565
potency	0.0524323
patience	0.0523825
friendliness	0.0522615
hygiene	0.0520161
equilibrium	0.0519193
"credit system"	0.0518776
"quality of life"	0.0517812
profitability	0.0516871
"customer service"	0.0515814
governance	0.0515661
portability	0.0515014
Chemistry	0.0513398
interrelationship	0.0509386
harmony	0.0509035
professionalism	0.050804
synergy	0.0505448
Privacy	0.0505407
teamwork	0.0505328
ergonomics	0.0502488
liquidity	0.0500011
coherence	0.0489893
decency	0.0488445
excellence	0.0483505
cohesion	0.048273
rapport	0.0481329
"software product"	0.0474011
tolerance	0.0473323
unity	0.0472615
stamina	0.0471719
utilization	0.0471011
tailpipe	0.0469205
parity	0.0468399
expertise	0.0466791
coexistence	0.0465927
friction	0.0465515
disenchantment	0.0465044
sincerity	0.046489
dominance	0.0463779
productivity	0.0463561
feasibility	0.046262
responsiveness	0.0461879
well-being	0.0461384
similarity	0.0459709
toughness	0.0459254
equality	0.0458195
civility	0.0458017
"freedom of speech"	0.0457825
versatility	0.0456567
probity	0.0456342
vitality	0.0455733
usability	0.0455122
morality	0.0454838
adaptability	0.0454633
"high quality"	0.0454613
avoidance	0.0453051
paternity	0.0451902
innovation	0.0451333
"shareholder value"	0.0450563
self-reliance	0.0448638
closeness	0.0447242
self-sufficiency	0.0445537
density	0.0444686
interconnection	0.0444413
toxicity	0.0443074
affordability	0.0438347
overlap	0.0438032
linkup	0.0437009
legitimacy	0.0436823
convenience	0.043641
resilience	0.0436245
"tool kit"	0.0434822
maturity	0.043402
acumen	0.0433055
unanimity	0.0431324
automation	0.0431218
enforcement	0.0430804
veracity	0.0430127
attractiveness	0.0429267
"competitive advantage"	0.0429206
usage	0.0428962
"equal opportunity"	0.0428783
bandwidth	0.0428488
verification	0.0427687
prestige	0.0427555
know-how	0.0427275
clout	0.0426762
ethic	0.0426727
nimbleness	0.0426255
coolness	0.0425995
exigency	0.0425164
emission	0.0424571
Amity	0.0424385
aggressiveness	0.0423014
separation	0.0422617
interactivity	0.0422054
differentiation	0.042182
penetration	0.0420963
Creativity	0.0420952
"mutual understanding"	0.0420176
sharing	0.0418898
neutrality	0.0418896
quarantine	0.0418316
sportsmanship	0.0418296
"public trust"	0.0418089
vibrancy	0.0418042
self-esteem	0.0417992
glitch	0.0416742
aptitude	0.0416715
universality	0.0416482
configuration	0.0416464
simplicity	0.0415846
certification	0.0415758
primacy	0.0415256
legality	0.0413779
variance	0.0412448
detente	0.041127
Liberalization	0.0409798
conformity	0.0409673
enjoyment	0.0409474
divergence	0.040913
EPO	0.0408759
"political relation"	0.0408648
logistics	0.0407681
disarmament	0.0407399
contentment	0.040739
))
(compatriot (desc 40185.9) (sims
countryman	0.150617
bt	0.125924
Chinese	0.104012
seed	0.101698
champion	0.101666
countrymen	0.0978282
businesspeople	0.0956652
teammate	0.0914435
citizen	0.0907328
countrywoman	0.0905361
"business community"	0.0888852
businessmen	0.0865365
personage	0.0861463
V	0.0849887
"number one"	0.0827281
resident	0.0816856
Taiwanese	0.0762163
Iranian	0.0745561
Malaysian	0.0729384
entrepreneur	0.0717881
medalist	0.0707182
holder	0.0691468
Tibetans	0.0686552
Filipino	0.0684026
farmer	0.0678753
"tennis player"	0.0674324
"family member"	0.0673475
community	0.0672524
"ethnic group"	0.0666795
Nigerian	0.066494
Indonesian	0.0663787
Kenyan	0.0659837
medallist	0.0653644
"walk of life"	0.0651873
Koreans	0.0651227
colleague	0.0648422
Vietnamese	0.0644727
relative	0.0641716
Industrialist	0.0638755
scholar	0.0632365
journalist	0.0632364
youngster	0.0627525
investor	0.0627013
Palestinian	0.0625225
Arab	0.0624467
enterprise	0.0620922
American	0.0619773
counterpart	0.0610944
participant	0.0610785
intellectual	0.0610593
qualifier	0.0601463
villager	0.0599791
"business leader"	0.0597567
constituent	0.0596348
Tanzanian	0.0595126
"civil servant"	0.0594988
statesmen	0.0592928
scientist	0.0592747
"Chinese government"	0.0591264
student	0.0588814
tourist	0.0587854
migrant	0.0585312
Lebanese	0.0584151
parent	0.0580553
"political leader"	0.0580341
Zimbabwean	0.0577844
visitor	0.0576834
worker	0.0576429
Australian	0.0575385
individual	0.0573032
"armed forces"	0.0570714
foreigner	0.0568878
public	0.0566704
Serbs	0.0565251
"senior citizen"	0.0564837
parishioner	0.0564079
Cambodian	0.0563487
"Asian country"	0.0563425
Mexican	0.0562555
Iraqi	0.0561123
titlist	0.0560366
activist	0.0560237
Russian	0.0558245
traveler	0.0557819
enterpreneurs	0.0556727
Pakistani	0.0556582
"South African"	0.0556367
"college student"	0.055405
Beijingers	0.0551766
Cypriot	0.0551748
Mozambican	0.0551134
"church member"	0.0549325
CPC	0.0548934
victim	0.0548161
Thai	0.0545547
Spaniard	0.0544167
exhibitor	0.0543943
Taiwan	0.0543932
finalist	0.0543432
motherland	0.0543308
nationality	0.0543241
Zambian	0.0542991
Moslem	0.05428
Cuban	0.0541262
Muslim	0.0539241
"social organization"	0.0538735
partner	0.0538665
Haitian	0.0536347
"local government"	0.0535942
follower	0.0532317
comrade	0.0532019
"Pete Sampras"	0.0528362
legislator	0.0527396
consumer	0.0526178
Israeli	0.0525784
"African country"	0.0524705
"Central Government"	0.0524435
authority	0.0524031
"university student"	0.0521726
teenager	0.0521635
Ugandan	0.052139
neighbor	0.0519991
"South Koreans"	0.0519687
voter	0.0516933
Reader	0.0516876
Jew	0.0516356
Angolan	0.0516132
national	0.051605
athlete	0.0515262
cyclist	0.0514702
politician	0.0514582
Canadian	0.0514553
Turk	0.0514481
inhabitant	0.0513569
dignitary	0.0512724
"loved one"	0.0512124
Albanian	0.0511308
refugee	0.0510145
immigrant	0.0509632
"international organization"	0.0509459
Brazilian	0.0508403
"Sri Lankans"	0.0508373
teacher	0.0507504
artist	0.0506593
minority	0.0506095
Ethiopian	0.0504791
Afghan	0.0504549
duo	0.050336
stakeholder	0.0501842
African	0.0501241
runner-up	0.049997
guest	0.0499372
expert	0.0499221
donor	0.0498383
Kurds	0.049776
everyone	0.0497553
Japanese	0.0497274
delegation	0.0496252
German	0.0495942
"Patrick Rafter"	0.0495087
youth	0.0494684
parliamentarian	0.0494489
lawmaker	0.0494025
"trade union"	0.049394
Alumni	0.0492823
shuttlers	0.0491946
"Lindsay Davenport"	0.0490856
winner	0.0490293
Macao	0.0487029
"financial organization"	0.0486529
laborer	0.0486188
European	0.0485567
returnees	0.0483635
institution	0.0483242
Somali	0.0482986
"council member"	0.0482741
pilgrim	0.0482412
supporter	0.048038
swimmer	0.048011
peer	0.0479387
soldier	0.0479297
cadre	0.0478517
veteran	0.0478437
seismologist	0.0477024
nationalist	0.0476545
Ukrainians	0.0475466
"business executive"	0.0475247
"member country"	0.0474461
elder	0.0471289
delegate	0.0471222
folk	0.0470694
deputy	0.0470607
ally	0.0470497
schoolchildren	0.047028
Chilean	0.0469546
"New Zealander"	0.0468595
"Steffi Graf"	0.0467549
"social group"	0.0466727
employee	0.0466504
"Chinese Communist Party"	0.0465948
))
(Compendium (desc 6744.04) (sims
trove	0.106773
compilation	0.100133
Encyclopedia	0.0939324
Anthology	0.0918181
"treasure trove"	0.086785
summary	0.0858976
"reference work"	0.0851008
glossary	0.0845457
"reference book"	0.0837186
refutation	0.0806706
dictionary	0.0794876
rehash	0.0790309
dossier	0.0742766
tome	0.0730687
analyses	0.0694768
reprint	0.06874
overview	0.0680556
paucity	0.0680426
catalog	0.066941
almanac	0.0669262
smorgasbord	0.0664438
POTPOURRI	0.0659834
ream	0.0659027
directory	0.0642203
booklet	0.0639029
repository	0.0630059
recap	0.0629077
lode	0.0625018
accretion	0.0621896
hodgepodge	0.0618685
Atlas	0.061321
plethora	0.0605363
Bibliography	0.060088
welter	0.0597306
array	0.0595604
litany	0.0585145
mishmash	0.0577611
"Revised Version"	0.0568625
synopsis	0.0567475
handbook	0.0561837
appendix	0.0559263
recitation	0.055731
reexamination	0.0557187
syllabus	0.0553877
catalogue	0.0549135
cornucopia	0.0544582
evocation	0.0544362
"new edition"	0.0543022
biography	0.0542904
dissemination	0.0542738
database	0.0536324
"popularity contest"	0.0534221
"electronic database"	0.0532207
chronology	0.0529147
linking	0.052764
juxtaposition	0.0525678
checklist	0.0525415
sheaf	0.0521512
databank	0.052072
surfeit	0.0519048
manual	0.0518943
guidebook	0.0518491
foretaste	0.0517761
summation	0.0517491
rebuttal	0.0516265
"treasure house"	0.0512635
tidbit	0.0505251
interpretation	0.0504609
archive	0.0504085
Roundup	0.050239
slew	0.0501794
melange	0.0500459
critique	0.0497236
translation	0.0496745
veracity	0.0496568
simplest	0.0491466
workbook	0.0487611
distillation	0.0486579
storehouse	0.048577
explication	0.0485289
crapshoot	0.0484779
"picture book"	0.0483818
Triptych	0.0482085
reworking	0.0478855
myriad	0.0474881
dramatization	0.0467692
"line of products"	0.0466513
rundown	0.0461036
embodiment	0.0460846
lovefest	0.0457642
brochure	0.0457373
downloading	0.0455352
"history lesson"	0.0455251
specificity	0.0455009
thesaurus	0.0453272
repetition	0.0452694
panoply	0.0452567
collage	0.0452069
rethinking	0.0451997
fount	0.0451538
textbook	0.0451473
assortment	0.0449947
cookbook	0.0449347
punchline	0.0447475
SAMPLER	0.0445906
photocopy	0.0444042
discography	0.0441252
scad	0.0441208
mastery	0.0435006
smattering	0.0434398
totality	0.0433026
primer	0.0431477
deletion	0.0430706
"report card"	0.0428705
tapestry	0.0426626
sendup	0.0425913
orgy	0.0425047
scrapbook	0.0423898
profusion	0.042331
abundance	0.0422071
monograph	0.0421904
richness	0.042168
"one line"	0.0420286
synthesis	0.0420236
self-criticism	0.0416557
autobiography	0.041516
"cross section"	0.0413421
"treasure chest"	0.0412878
Exposition	0.0409199
blending	0.040845
iota	0.0408075
pastiche	0.0404255
perusal	0.0403806
manuscript	0.0403729
airing	0.0402112
"magazine article"	0.0401299
))
(compensation (desc 73892.1) (sims
payment	0.192908
reparation	0.191841
pay	0.183651
restitution	0.180732
pension	0.179576
salary	0.169957
reimbursement	0.169425
bonus	0.168403
subsidy	0.154675
wage	0.153885
fee	0.151833
refund	0.141064
benefit	0.140856
assistance	0.138983
allowance	0.138852
funding	0.13438
loan	0.13028
incentive	0.12749
"legal fee"	0.127169
insurance	0.126835
damage	0.124475
tax	0.124206
liability	0.120215
income	0.12018
grant	0.11984
redress	0.1197
donation	0.119548
financing	0.118087
rebate	0.11695
aid	0.116522
"stock option"	0.11596
cost	0.113907
"tax break"	0.11221
relief	0.112137
fund	0.111828
"wage increase"	0.111642
bribe	0.111426
money	0.111367
"pay raise"	0.110708
reward	0.110272
credit	0.110025
dividend	0.10921
"financial aid"	0.109205
"health insurance"	0.109142
fine	0.107685
expense	0.107495
contribution	0.107292
Ransom	0.107209
Tuition	0.106891
saving	0.10634
debt	0.106235
rent	0.106165
indemnity	0.106101
stipend	0.105739
"retirement benefit"	0.105582
kickback	0.10549
premium	0.105151
protection	0.104468
"tax credit"	0.103802
repayment	0.102892
severance	0.102533
"cash payment"	0.102409
exemption	0.102219
cash	0.102144
investment	0.101269
"medical care"	0.100905
sum	0.100556
punishment	0.100253
allocation	0.0999321
"prize money"	0.0998185
coverage	0.0988326
apology	0.0980888
"income tax"	0.0970597
"compensation package"	0.0960419
"health benefit"	0.0956128
guarantee	0.0955861
revenue	0.0955691
employment	0.0946072
"Social Security benefit"	0.0945028
royalty	0.0944102
profit	0.0943926
"child support"	0.094209
penalty	0.0941178
settlement	0.0931563
"health care"	0.0926938
"job security"	0.0907413
"tax cut"	0.0898574
"disability benefit"	0.0897749
"minimum wage"	0.0897239
reduction	0.0896092
payout	0.0894498
contract	0.0894002
asset	0.0892554
"amount of money"	0.0888446
deduction	0.088681
"interest payment"	0.0886057
amount	0.0881606
paycheck	0.0864684
scholarship	0.0863866
earnings	0.0862768
spending	0.0859675
expenditure	0.0850337
"food aid"	0.0850162
treatment	0.084861
package	0.0846431
claim	0.0842664
withdrawal	0.0842307
amnesty	0.0841996
asylum	0.0835105
gift	0.0833412
tariff	0.0830373
"life insurance"	0.0824795
budget	0.0822886
"insurance premium"	0.0821368
access	0.0820199
care	0.0818081
Housing	0.0817004
concession	0.0816735
payoff	0.0816311
"tax revenue"	0.0813415
"food stamp"	0.0811364
award	0.0810106
"net income"	0.0809656
Medicaid	0.0808531
discount	0.0806903
voucher	0.0802168
mortgage	0.0798525
increase	0.0792569
arrears	0.0791534
deposit	0.0789054
perk	0.0787444
responsibility	0.0776041
buyout	0.0775913
taxation	0.0775744
remittance	0.0773579
value	0.0772986
remuneration	0.0768548
permit	0.0767225
productivity	0.0765042
"down payment"	0.0762302
"tax deduction"	0.0761222
support	0.0761192
distribution	0.0760407
check	0.0759728
transfer	0.07585
recognition	0.0753251
outlay	0.0748433
"property tax"	0.0746287
immunity	0.0746075
quota	0.0745946
welfare	0.0744826
privilege	0.0744237
sale	0.0744065
price	0.0741369
status	0.0741335
billing	0.0739882
appropriation	0.0737316
annuity	0.0733065
arrangement	0.0733059
"child care"	0.0730961
prize	0.0730792
autonomy	0.0728469
arbitration	0.0728466
payroll	0.0727181
interest	0.0725752
education	0.0722641
license	0.0721888
transaction	0.0721591
remedy	0.0720567
participation	0.0720187
service	0.0718946
gratuity	0.0718435
"gross income"	0.0718301
adjustment	0.0716878
increment	0.071632
payouts	0.071342
job	0.071293
bill	0.0712749
pardon	0.0712531
accounting	0.0711496
counseling	0.0710807
"social security"	0.0709641
lawsuit	0.070878
installment	0.0705464
equity	0.0703951
"time off"	0.0703731
accommodation	0.0702981
bailout	0.0702591
clemency	0.0702316
measure	0.0699831
"medical bill"	0.0695687
plan	0.0694776
membership	0.069295
security	0.0692213
forgiveness	0.0691325
"sick leave"	0.069118
risk	0.0690974
ownership	0.0690528
provision	0.0690122
"purchase price"	0.068888
))
("compensation package" (desc 4055.96) (sims
"incentive plan"	0.102506
"golden parachute"	0.0987052
"operating budget"	0.0971495
bonus	0.0961941
compensation	0.0960419
"fringe benefit"	0.0936391
"stock option"	0.0927877
salary	0.0899387
"retirement benefit"	0.0895027
"employment contract"	0.0877261
"wage increase"	0.086498
"reorganization plan"	0.0856315
"purchase price"	0.0811643
"incentive program"	0.080003
"pay rate"	0.0792519
pension	0.0771756
"tax break"	0.073648
buyout	0.073574
perk	0.0733375
"pay raise"	0.0718132
"health benefit"	0.0718084
allowance	0.0713124
"bond issue"	0.0702624
payout	0.069755
incentive	0.069269
"New Deal"	0.0686343
"dollar amount"	0.067672
"cost structure"	0.0674069
"disability payment"	0.0671906
paycheck	0.066765
"annual payment"	0.0659169
"line of credit"	0.0654834
payouts	0.0654546
"credit line"	0.0646368
"price tag"	0.0644821
"merger agreement"	0.0631096
perquisite	0.0629997
remuneration	0.0628521
"ad blitz"	0.0626025
"investment portfolio"	0.0625962
"point system"	0.062411
stipend	0.0621219
"trade agreement"	0.06123
"nest egg"	0.0606299
PRICETAG	0.0601905
dividend	0.0600652
"tool kit"	0.0599357
"benefit program"	0.0588578
"wage scale"	0.058842
"interest payment"	0.0586088
"cash bonus"	0.0579964
"labor agreement"	0.0577211
"pay cut"	0.0574248
"compromise plan"	0.0569691
outlay	0.0568309
caseload	0.056794
"travel plan"	0.0567062
"training program"	0.056477
annuity	0.0561954
Demutualization	0.056112
"contingency plan"	0.0559144
"tax credit"	0.0555591
"athletic facility"	0.0555575
"management fee"	0.0552262
windfall	0.0551771
ADP	0.0548546
"rehabilitation program"	0.0544849
bailout	0.0544668
"master plan"	0.054323
rebate	0.0542452
"retirement account"	0.0541907
"labor contract"	0.0540914
"rate of exchange"	0.0539826
jackpot	0.0537763
"academic program"	0.0534803
"marketing cost"	0.0534685
"Social Security benefit"	0.0533616
"job security"	0.053281
"bond offering"	0.0531989
"selling price"	0.0531683
"social contract"	0.0529999
"asking price"	0.0529659
"tax treatment"	0.0529276
severance	0.0528834
savings	0.0528485
payday	0.0527511
"insurance premium"	0.0526153
appropriation	0.0525177
"name change"	0.0525168
"report card"	0.0524533
"savings account"	0.05242
allotment	0.0523142
"admission price"	0.0517331
"licensing agreement"	0.0516129
dowry	0.0514647
"service contract"	0.0514622
counteroffer	0.0512447
"legal fee"	0.0510078
"arms deal"	0.0509954
"purchase agreement"	0.0509662
assistances	0.0507131
"tax advantage"	0.0504872
"tax collection"	0.0504294
"management shakeup"	0.0503345
"dividend payment"	0.0503024
"line of products"	0.0502384
"insurance policy"	0.0501162
"tax bill"	0.0500834
"food aid"	0.050003
"Agenda @@@@"	0.0499975
"death benefit"	0.0497218
"battle plan"	0.049523
"business plan"	0.0491481
makeover	0.0490245
"production cost"	0.0489617
"out-of-court settlement"	0.0488093
"housing sale"	0.0487078
"electric bill"	0.0486357
"tax reduction"	0.048412
"tax incentive"	0.0483367
"expense account"	0.0482119
"fund-raising campaign"	0.0481269
"over @@@ million yuan"	0.0479559
"war chest"	0.0478883
ridership	0.0478776
"prize money"	0.0478654
"defense budget"	0.0476725
"labor cost"	0.0476511
bequest	0.0475943
"earning per share"	0.0474479
"development plan"	0.0474213
voucher	0.0472664
retainer	0.047147
"marriage proposal"	0.0470542
VFA	0.0470291
"sticker price"	0.0468378
write-off	0.0467103
NPLs	0.0465997
"tax benefit"	0.046188
"trade policy"	0.0461391
"medical check-up"	0.0460451
checklist	0.045988
"pretax charge"	0.045685
deduction	0.0456069
"tax base"	0.0455689
"art collection"	0.0455381
"teaching method"	0.0455261
itinerary	0.0454227
"American plan"	0.0451952
timeframe	0.0451404
"scoring system"	0.0451394
"operating expenses"	0.0450802
"rate increase"	0.0449847
"medical examination"	0.0449503
"net profit"	0.0449213
facelift	0.0448757
"medical aid"	0.044875
"ad campaign"	0.0447919
"take-home pay"	0.0447382
"national income"	0.0445968
"retirement plan"	0.0443487
counterbid	0.0443228
"medical practice"	0.0441724
enrolment	0.0441556
"educational program"	0.0440626
"education program"	0.0440375
"bank withdrawal"	0.044029
"pilot program"	0.0439396
"Official Development Assistance"	0.0439282
B.S	0.043888
endowment	0.0438089
"consumer credit"	0.0436864
throughput	0.0436026
"face lift"	0.0436014
"operating cost"	0.0435874
indemnity	0.0434433
"cost of living"	0.0433937
"working day"	0.0433236
visitation	0.0433222
mammography	0.0432744
payoff	0.0432671
"order book"	0.0432229
"political program"	0.0432078
deferral	0.0432069
"line of work"	0.0432047
"minimum wage"	0.0429849
"shareholder value"	0.0429753
cheque	0.0429647
"welfare state"	0.042783
reorganization	0.0427817
amnesty	0.0427106
write-down	0.0426601
"code of conduct"	0.0426495
"expansion plan"	0.0426366
capitalization	0.0424993
"capital expenditure"	0.0424482
"profit margin"	0.0423448
"tender offer"	0.0423331
"fund-raising drive"	0.0422371
"finding of fact"	0.0422217
))
(competence (desc 18157.8) (sims
professionalism	0.182051
proficiency	0.170167
competency	0.163326
integrity	0.147799
skill	0.140986
capability	0.132796
honesty	0.132687
efficiency	0.131781
expertise	0.129584
ability	0.128965
impartiality	0.124116
qualification	0.123617
trustworthiness	0.123555
fairness	0.121917
reliability	0.120157
toughness	0.119764
objectivity	0.119394
courage	0.119266
effectiveness	0.119144
ethic	0.118956
excellence	0.118851
acumen	0.118506
stamina	0.114591
credibility	0.113933
sincerity	0.112145
accountability	0.111365
durability	0.110572
transparency	0.109582
fitness	0.109079
discipline	0.107627
Creativity	0.107002
determination	0.10679
intellect	0.104752
morality	0.104152
diligence	0.103369
truthfulness	0.10315
dedication	0.102743
quality	0.101777
strength	0.101666
competitiveness	0.101495
consistency	0.100892
resilience	0.100593
legitimacy	0.100068
dignity	0.0998638
prowess	0.0992179
wisdom	0.0988879
bravery	0.0984119
decency	0.0982957
temperament	0.0981673
know-how	0.0972198
poise	0.097147
loyalty	0.0965368
self-discipline	0.0964603
authenticity	0.0958058
morale	0.0954046
endurance	0.0953021
sophistication	0.0943907
prestige	0.0943817
self-confidence	0.0943351
preparedness	0.0939853
intelligence	0.0935106
charisma	0.0933794
accuracy	0.0933509
seriousness	0.0933342
cleanliness	0.0928732
"sense of responsibility"	0.092691
knowledge	0.0925665
dexterity	0.0925536
Openness	0.0918678
teamwork	0.0916215
responsibility	0.0912586
originality	0.0911778
willingness	0.0910842
viability	0.0909805
confidence	0.0906897
maturity	0.0902342
flexibility	0.0899193
versatility	0.0889419
probity	0.0885219
clout	0.0883454
foresight	0.0881183
readiness	0.0876669
dynamism	0.0874607
talent	0.087125
sportsmanship	0.0866581
responsiveness	0.0863792
credential	0.0862947
savvy	0.0860484
fortitude	0.0858542
cohesiveness	0.0857937
tenacity	0.0847185
leadership	0.0846641
vigor	0.0843703
mobility	0.0841225
cohesion	0.0840111
efficacy	0.0840053
accomplishment	0.0828196
productivity	0.0824504
sensitivity	0.0821897
patience	0.0811633
judgment	0.0809465
self-esteem	0.080744
fluency	0.0807014
literacy	0.0805903
"common sense"	0.08036
veracity	0.0801901
training	0.0801462
self-reliance	0.0800075
discretion	0.0798694
athleticism	0.0796784
mettle	0.0796483
worthiness	0.0795069
patriotism	0.0791828
boldness	0.0790524
profitability	0.078699
decisiveness	0.0783265
ingenuity	0.0782266
vitality	0.0779623
capacity	0.0779327
perseverance	0.0777784
firmness	0.0775652
diversity	0.0775307
adaptability	0.0774489
awareness	0.0770606
incompetence	0.0769536
compatibility	0.0768335
craftsmanship	0.0766973
achievement	0.0766695
stature	0.0763615
legality	0.0762918
purity	0.0762241
commitment	0.0760974
rectitude	0.0758725
cost-effectiveness	0.0754726
soundness	0.0752906
neutrality	0.0750011
mastery	0.0748813
enthusiasm	0.0747137
knowhow	0.074547
motivation	0.0743877
innovation	0.0739196
pragmatism	0.0739053
validity	0.0738747
clarity	0.073825
moral	0.0735088
propriety	0.0733073
agility	0.0732595
"hard work"	0.0732549
resourcefulness	0.0732528
continuity	0.0730848
assertiveness	0.0728753
compassion	0.0726767
candor	0.0725411
Manpower	0.0724354
suitability	0.0723992
merit	0.0723846
alertness	0.0721617
liquidity	0.0721063
empathy	0.0720677
quickness	0.0719096
humility	0.0717166
resiliency	0.0716863
generosity	0.0715904
prudence	0.0715392
accessibility	0.0713508
independence	0.0712174
acceptability	0.0711697
stability	0.0705157
"economies of scale"	0.0704656
advancement	0.0704622
brilliance	0.0702185
personality	0.0701123
depth	0.0699921
coherence	0.0699248
uniformity	0.0697063
civility	0.0693423
aggressiveness	0.0690042
pride	0.0689549
standard	0.068903
explosiveness	0.0688727
feasibility	0.0687142
reputation	0.0685543
elegance	0.0684668
"staying power"	0.067848
"decision making"	0.0677569
breadth	0.0677388
relevance	0.0671141
vision	0.0670974
superiority	0.0670806
aptitude	0.0670073
attitude	0.0669546
intensity	0.0667457
eloquence	0.0666946
appropriateness	0.0666484
instinct	0.0664829
safety	0.0664667
unity	0.0661149
intuition	0.0660724
frugality	0.0660266
involvement	0.0657527
))
(competency (desc 6386.87) (sims
competence	0.163326
proficiency	0.14599
polygraph	0.122318
qualification	0.1051
worthiness	0.102738
efficacy	0.0993075
suitability	0.0971812
fitness	0.092682
skill	0.0910104
reliability	0.0838007
MCAS	0.0824044
expertise	0.0818508
effectiveness	0.0808169
know-how	0.0775923
efficiency	0.0763801
"general knowledge"	0.0759357
aptitude	0.0754789
competitiveness	0.0751461
professionalism	0.0745561
profitability	0.073679
preparedness	0.0736599
authenticity	0.0722953
acumen	0.0719687
stamina	0.0716263
literacy	0.0715178
impartiality	0.0713423
compatibility	0.0711556
eligibility	0.0706777
dexterity	0.0700528
fairness	0.0695085
cost-effectiveness	0.0694193
toughness	0.069406
viability	0.0689637
capability	0.0687074
durability	0.0685833
"magnetic resonance imaging"	0.068069
credibility	0.0673748
trustworthiness	0.0665588
accountability	0.0655141
endurance	0.0654237
ethic	0.0653726
certification	0.0653335
interoperability	0.0646421
honesty	0.0642824
appropriateness	0.0638967
affordability	0.0631829
readiness	0.0631197
paternity	0.0630965
cleanliness	0.0625839
soundness	0.0623086
accessibility	0.0622414
integrity	0.0618482
alertness	0.0618392
maturity	0.0616719
potency	0.0614869
ISO@@@@	0.0610997
relevance	0.0607907
adequacy	0.060773
objectivity	0.0606757
entrepreneurship	0.0601715
productivity	0.0600413
consistency	0.0596516
PSA	0.0595383
"sense of responsibility"	0.0592937
creditworthiness	0.0591953
density	0.0591653
"social status"	0.0591385
agility	0.058962
Creativity	0.0582127
hipness	0.0580091
"secondary education"	0.0578137
cohesion	0.0576002
self-esteem	0.0575405
sanity	0.057223
veracity	0.0569664
mettle	0.0568476
fortitude	0.0563799
resilience	0.0563374
feasibility	0.0562499
"teaching method"	0.0560858
accuracy	0.0559756
teamwork	0.0554368
Toxicology	0.0553437
usefulness	0.0553189
probity	0.0552307
equilibrium	0.0549099
"business condition"	0.0547078
liquidity	0.0543489
fearlessness	0.0541441
specialization	0.0539597
prowess	0.0537692
Radon	0.0536499
sustainability	0.0536254
toxicity	0.0535987
"College Board"	0.0535254
flexibility	0.0534361
acceptability	0.0533544
transparency	0.0532774
prestige	0.0531046
naturalization	0.0528737
mastery	0.0526419
comprehension	0.0526128
responsiveness	0.0525088
usability	0.0524575
governance	0.0522534
TAAS	0.052211
virginity	0.0522042
sportsmanship	0.0519647
citizenship	0.0519201
loyalty	0.0517588
SAT	0.0517398
"standard of living"	0.0514432
charisma	0.0513121
enema	0.0512737
motivation	0.0512658
"quality control"	0.0510882
"common sense"	0.0509623
self-discipline	0.0509134
"customer service"	0.0506549
sophistication	0.050636
purity	0.0505977
temperament	0.050592
"atom bomb"	0.0505072
self-control	0.0500736
truthfulness	0.0499512
residency	0.0498605
disbarment	0.0497185
pocketbook	0.0495948
solvency	0.0495931
recruitment	0.0494506
"economies of scale"	0.0492127
tailpipe	0.0491888
vocabulary	0.0489177
well-being	0.0488318
morale	0.0486755
deterrence	0.0486569
IQ	0.0484573
compliance	0.0484521
incompetence	0.0484117
self-sufficiency	0.0483779
empowerment	0.048303
morality	0.0482652
guardianship	0.0482579
antigen	0.0482363
"wind tunnel"	0.048033
"test score"	0.0479759
credential	0.0479696
sharpness	0.0479144
firmness	0.0478685
self-confidence	0.0478348
"growth prospect"	0.0477749
manhood	0.0477281
accreditation	0.0476734
legality	0.047449
sincerity	0.0474449
excellence	0.0473844
culpability	0.0472487
validity	0.0472452
legitimacy	0.0469931
"business activity"	0.046868
assertiveness	0.0468669
"job security"	0.0468136
"investment portfolio"	0.0467861
nimbleness	0.0466933
dynamism	0.0466919
courage	0.0466904
"subject area"	0.0463066
hygiene	0.0463047
patience	0.0462465
boldness	0.0460402
sufficiency	0.0460197
superiority	0.0459973
neutrality	0.0459889
aggressiveness	0.0459569
grooming	0.045841
versatility	0.045801
"competitive advantage"	0.0457272
intuition	0.0456895
diligence	0.0455248
curricula	0.0454539
"business processe"	0.0453341
"five key"	0.0453115
MRI	0.0453072
"shareholder value"	0.0452081
resourcefulness	0.0451988
dependability	0.0451798
interdependence	0.0451594
mobility	0.045127
advancement	0.0450771
acuity	0.0449721
curriculum	0.0449296
GPA	0.0448751
math	0.0448195
"contingency plan"	0.0444758
practicality	0.0444473
entitlement	0.0444337
flatness	0.0442815
satisfaction	0.0442617
stature	0.0441915
ultrasound	0.0440255
))
(competition (desc 261289) (sims
tournament	0.184523
event	0.175892
championship	0.162415
final	0.155046
race	0.153157
contest	0.148899
match	0.138513
"World Cup"	0.134458
game	0.120523
semifinal	0.11702
Olympics	0.114896
round	0.111579
medal	0.110325
battle	0.10446
quarterfinal	0.102891
sport	0.10249
competitor	0.102225
title	0.102211
"Asian Games"	0.102154
market	0.102142
performance	0.100715
challenge	0.100714
playoff	0.100527
business	0.0990629
program	0.0988029
preliminary	0.09865
practice	0.0983761
matches	0.0982088
growth	0.0981857
demand	0.0975139
"Olympic Games"	0.0974297
activity	0.0973497
debate	0.0965308
team	0.0964963
"cup final"	0.0957131
development	0.0949365
marathon	0.0945462
slalom	0.0942004
fight	0.0939086
crisis	0.0938837
trial	0.0936738
innovation	0.093649
series	0.0917825
consolidation	0.0914688
investment	0.0909927
"price war"	0.0903529
rivalry	0.0903274
negotiation	0.0902346
test	0.0895694
action	0.0887037
league	0.088535
soccer	0.0884796
festival	0.0884029
sale	0.088361
change	0.088213
election	0.087873
economy	0.0878508
problem	0.0875793
opportunity	0.0875415
Exhibition	0.0873221
freestyle	0.0872038
turmoil	0.0868232
gold	0.0867269
men's	0.0866523
competitiveness	0.0865582
show	0.0864977
training	0.0863872
war	0.0861499
standing	0.0860321
talk	0.0857634
pressure	0.085581
tour	0.0855036
price	0.0854309
service	0.0849924
result	0.0847798
tourney	0.0844381
conference	0.084106
conflict	0.0839991
"World Championships"	0.0839076
slowdown	0.083389
process	0.0832082
trade	0.082557
loss	0.0824879
trend	0.0823888
campaign	0.0823599
meeting	0.0821771
technology	0.0821578
schedule	0.0818872
cooperation	0.0818443
relay	0.0816762
success	0.0815415
Racing	0.0814463
environment	0.080936
discussion	0.0808587
showdown	0.0808559
situation	0.0807409
world	0.0806265
production	0.0805901
class	0.0803369
expansion	0.0803208
confrontation	0.0802861
clash	0.0801064
merger	0.0799278
effort	0.0798689
exchange	0.0794257
fair	0.0791039
strike	0.0790213
downturn	0.0789052
victory	0.0788957
deregulation	0.0787283
reform	0.0786988
cost	0.0785985
violence	0.0785471
play	0.0784474
inflation	0.0784371
tension	0.078429
shortage	0.0783566
coverage	0.07819
operation	0.0780852
"Commonwealth Games"	0.0780109
swimming	0.0779378
division	0.077848
deal	0.0773682
politics	0.0773647
bidding	0.0773558
uncertainty	0.0773423
session	0.077335
"Sydney Olympics"	0.0772577
system	0.076982
"Grand Prix"	0.076962
globalization	0.076803
job	0.0767846
work	0.0765334
interest	0.0764385
"U.S. Open"	0.0764238
participation	0.0763909
cup	0.0763177
instability	0.0763122
partnership	0.0762862
career	0.0760178
recession	0.0759394
exercise	0.0757682
primary	0.0757245
tennis	0.0754798
category	0.0753298
struggle	0.075184
flow	0.0750808
weather	0.0749349
Liberalization	0.0749242
downhill	0.0749225
experience	0.0748446
relationship	0.0747056
discipline	0.0747022
difficulty	0.0746627
Rally	0.0746315
qualifier	0.0743997
decline	0.0743772
life	0.0741352
product	0.0740877
attack	0.0740697
champion	0.0739387
industry	0.0738288
potential	0.0737774
ceremony	0.0737009
regatta	0.0735782
risk	0.0734943
agreement	0.0733857
workout	0.0732571
athletics	0.0732422
project	0.0731841
"economic crisis"	0.0728403
one	0.0727065
"labor market"	0.0726615
football	0.0726398
auction	0.0725382
trading	0.0724246
slump	0.0723932
policy	0.0720281
player	0.0720161
poll	0.0719001
profit	0.0717555
use	0.0716616
employment	0.0716158
tie	0.0714799
bid	0.0712801
company	0.0707412
golf	0.0705798
season	0.0704945
skiing	0.0704498
boxing	0.07037
improvement	0.0703692
demonstration	0.070209
rival	0.0702067
hurdle	0.0701757
money	0.0701558
volatility	0.070094
integration	0.0699723
"interest rate"	0.0699606
protest	0.0699587
impact	0.0699524
))
("competitive advantage" (desc 7101.09) (sims
competitiveness	0.11122
toehold	0.105393
foothold	0.102789
advantage	0.102422
"economies of scale"	0.0954649
"upper hand"	0.0953749
leverage	0.0879849
"growth prospect"	0.084196
profitability	0.0803365
"market share"	0.0800059
complementarity	0.0799538
"breathing space"	0.0798682
superiority	0.0763057
"tax base"	0.0740103
"rate of growth"	0.0739053
"head start"	0.0736898
dominance	0.0719822
"investor confidence"	0.0714891
liquidity	0.0712356
"economic value"	0.0707337
"shareholder value"	0.0706195
dynamism	0.0705629
clout	0.0698991
near-monopoly	0.069501
"leadership role"	0.0689607
"tax advantage"	0.0673312
"financial gain"	0.0672458
"market penetration"	0.0671951
"power of attorney"	0.0667997
potentiality	0.0666395
disincentive	0.0663815
fillip	0.0662661
traction	0.0648351
disadvantage	0.0647157
"profit margin"	0.0635226
efficiency	0.0623908
vitality	0.0614926
"breathing room"	0.0600497
footing	0.0597787
"minority interest"	0.0593778
"ownership stake"	0.0592444
buoyancy	0.059207
upturn	0.05907
"clean slate"	0.0590402
prestige	0.058671
cachet	0.0584251
"earnings growth"	0.0578943
momentum	0.0577531
synergy	0.0575011
"security interest"	0.0572999
monopoly	0.0572209
plurality	0.0568398
niche	0.0558968
"sense of direction"	0.0557616
incentive	0.0556543
"tax break"	0.055644
hegemony	0.0553957
uniqueness	0.0551693
bottleneck	0.0551105
"credit rating"	0.0548862
beachhead	0.0547329
"trade barrier"	0.0545411
credibility	0.0542633
"military capability"	0.0542429
innovation	0.0541477
outperformance	0.0539808
"cost structure"	0.0539669
"inferiority complex"	0.053886
fundamental	0.0537189
primacy	0.053623
productivity	0.0536175
viability	0.0535654
capability	0.0532468
"driving force"	0.0530971
flexibility	0.0529312
expertise	0.0525917
motivation	0.0525224
"playing field"	0.0524731
"success story"	0.0523833
vulnerability	0.0521839
"quality of life"	0.0521649
"support system"	0.0521504
weakness	0.0520419
headway	0.0519979
"standard of living"	0.051965
equilibrium	0.0517604
valuation	0.0516019
esteem	0.0515402
"form of government"	0.0515376
"legal status"	0.0513675
livelihood	0.051356
"job security"	0.0511459
"tax liability"	0.051115
industrialization	0.0510627
maneuverability	0.0510497
boon	0.0507473
"tax benefit"	0.0507161
"trump card"	0.0505859
shakeout	0.0505467
self-reliance	0.0504441
deterrent	0.0503919
uptrend	0.0503042
laggard	0.0502975
sell-offs	0.0502492
Creativity	0.0501642
"strong point"	0.0501594
supremacy	0.050103
cohesion	0.0501016
"sense of purpose"	0.0500849
self-government	0.0500546
divergence	0.0499978
preeminence	0.0498954
"working capital"	0.0498442
"bargaining chip"	0.0496668
"business interest"	0.0493739
downturns	0.0492457
"peace of mind"	0.0491009
outlook	0.0488492
"investment climate"	0.0488001
"sneak preview"	0.0487791
turnaround	0.0484964
"debt load"	0.0483235
"nest egg"	0.0481721
"balance sheet"	0.0481398
granary	0.0481221
"tax incentive"	0.047995
accreditation	0.047872
"particle accelerator"	0.0476619
resilience	0.0476593
attractiveness	0.0476203
"line of products"	0.0476077
"vantage point"	0.0475846
protectorate	0.0475522
lifeline	0.0474058
windfall	0.0474031
"sense of balance"	0.0473875
"rapid growth"	0.0472164
Jewishness	0.0471715
diversification	0.047081
privilege	0.0470785
inroad	0.0470515
"inside track"	0.0470443
slowdown	0.0469565
overcapacity	0.0468593
"right to vote"	0.0467761
"drawing card"	0.0466958
"moral force"	0.0465561
"borrowing cost"	0.046493
rebate	0.0464806
"elbow room"	0.0463587
nervousness	0.0462771
relevance	0.0462196
"production cost"	0.0461434
polarization	0.0461387
tranquility	0.0460723
"price competition"	0.045936
redundancy	0.0458806
"absolute majority"	0.0458076
competency	0.0457272
versatility	0.0456963
"labor cost"	0.0456332
"tax treatment"	0.0454015
playmakers	0.0453597
"public trust"	0.0452951
"line of credit"	0.0452929
adopters	0.0452566
"three pitchers"	0.0451701
penetration	0.0450763
mastery	0.0449894
"business condition"	0.0449506
drawback	0.0449495
precedence	0.0448261
comedown	0.0448235
"good story"	0.0448235
diversity	0.0447692
"equity stake"	0.0447649
"revenue growth"	0.0446663
"technological revolution"	0.0446593
Limitation	0.0445176
resiliency	0.0444934
instability	0.0443026
sustainability	0.0443017
"good fortune"	0.0442742
savings	0.044068
advancement	0.0440586
legitimacy	0.0440578
"staying power"	0.0439559
"employment growth"	0.0439242
impediment	0.0438631
"tax credit"	0.0437864
effectiveness	0.0436514
"military mission"	0.0436066
"natural resource"	0.0435989
"way of life"	0.0435768
exclusivity	0.0434629
"bill of health"	0.0434268
prominence	0.0433491
"economic system"	0.0433304
respectability	0.0433155
know-how	0.0431578
))
(competitiveness (desc 33466.3) (sims
profitability	0.188058
productivity	0.186843
efficiency	0.176958
stability	0.149252
"investor confidence"	0.142784
growth	0.14119
dynamism	0.139898
viability	0.135423
confidence	0.130985
prosperity	0.128669
development	0.12718
credibility	0.125473
"standard of living"	0.125164
sustainability	0.12455
strength	0.124176
vitality	0.122938
"growth prospect"	0.122227
liquidity	0.121757
diversification	0.12082
capability	0.119974
ability	0.119839
quality	0.118755
morale	0.118614
effectiveness	0.118195
cohesion	0.116804
well-being	0.115299
"quality of life"	0.115177
recovery	0.115012
"market share"	0.113529
resilience	0.111638
attractiveness	0.111346
potential	0.111269
"competitive advantage"	0.11122
"rapid growth"	0.110699
innovation	0.110583
integration	0.110286
economy	0.109795
outlook	0.108942
prestige	0.107598
transparency	0.107336
reliability	0.107209
survival	0.105534
integrity	0.105267
advancement	0.105123
readiness	0.104932
health	0.104508
diversity	0.103801
flexibility	0.103714
employment	0.102855
Creativity	0.102803
governance	0.102749
competence	0.101495
affordability	0.101093
Liberalization	0.0998571
"growth rate"	0.0995278
fundamental	0.0994542
modernization	0.0989627
participation	0.0989103
"production cost"	0.0983791
unity	0.0983256
stabilization	0.0979885
"profit margin"	0.0979716
self-esteem	0.0975189
value	0.0972892
security	0.0967094
awareness	0.0957175
stamina	0.0957121
skill	0.0956957
"labor market"	0.0954964
"labor cost"	0.0953951
infrastructure	0.0952038
professionalism	0.0950911
utilization	0.0950611
"investment climate"	0.0944259
mobility	0.0938498
"consumer demand"	0.0932271
progress	0.0932027
"development strategy"	0.0931589
consolidation	0.0923265
expansion	0.0919991
environment	0.0919272
Openness	0.0918843
export	0.0918807
prospect	0.0917579
capacity	0.0917542
preparedness	0.0917311
livelihood	0.0912925
output	0.0900655
availability	0.0900073
popularity	0.0899271
performance	0.0896632
industrialization	0.0894134
dominance	0.0893272
"rate of growth"	0.0890682
determination	0.0889989
vigor	0.0886827
cohesiveness	0.0885696
inflation	0.0884504
"balance of payments"	0.0882149
unemployment	0.0882088
cooperation	0.088116
"military capability"	0.0880596
production	0.0880225
ethic	0.0879698
interest	0.0879075
"economies of scale"	0.0876437
discipline	0.0876011
"oil price"	0.0875877
buoyancy	0.0870248
responsiveness	0.086951
flow	0.0867881
"credit rating"	0.08675
dependence	0.086596
management	0.0865907
competition	0.0865582
"crime rate"	0.086466
improvement	0.0863007
success	0.0862982
enthusiasm	0.0858377
interdependence	0.0856102
status	0.0855986
clout	0.0855897
"economic condition"	0.0854955
structure	0.0853351
resiliency	0.0852776
reform	0.0849125
demand	0.0848833
profit	0.0848487
investment	0.0848209
safety	0.0846969
volatility	0.0846113
accountability	0.0845745
achievement	0.0843464
equilibrium	0.0840113
consumption	0.0839588
reputation	0.0838568
sector	0.0834427
self-sufficiency	0.0829912
trend	0.0829187
resolve	0.0826635
momentum	0.0825369
intelligence	0.0823354
concentration	0.0821663
readjustment	0.0821621
"rule of law"	0.0820763
tourism	0.0819059
"trade balance"	0.0818704
"shareholder value"	0.0806122
"inflation rate"	0.0805442
fairness	0.0805266
self-confidence	0.080012
coordination	0.0798847
"financial condition"	0.0798086
instability	0.0797879
strategy	0.0796092
perception	0.0794858
"business activity"	0.079458
democracy	0.0793222
accessibility	0.0788296
solidarity	0.0783158
willingness	0.077808
future	0.0777865
"mutual understanding"	0.0776295
slowdown	0.0775035
opportunity	0.0774781
entrepreneurship	0.0773654
relation	0.0773641
globalization	0.0773534
restructuring	0.077311
coherence	0.0771588
excellence	0.0770122
resource	0.0768222
dignity	0.0766726
pricing	0.0765337
fertility	0.0765247
expertise	0.076295
earnings	0.0762543
"tax collection"	0.076216
endurance	0.0760056
sentiment	0.0759562
revitalization	0.0756858
importance	0.0755956
upturn	0.0754319
"free trade"	0.0753861
inflow	0.0752105
price	0.0752078
competency	0.0751461
"unemployment rate"	0.0748819
self-reliance	0.0747013
"interest rate"	0.0746923
toughness	0.0744994
Privatization	0.0744519
income	0.0744413
marketability	0.0743828
consistency	0.0743776
"legal system"	0.074372
complementarity	0.0743581
education	0.074233
"tax base"	0.0739306
durability	0.073905
))
(competitor (desc 123659) (sims
rival	0.206221
company	0.14145
retailer	0.11943
provider	0.116341
manufacturer	0.115801
customer	0.115578
firm	0.109026
carrier	0.108516
airline	0.106402
opponent	0.105018
maker	0.104885
player	0.103931
investor	0.103778
buyer	0.103074
competition	0.102225
challenger	0.100733
giant	0.100582
supplier	0.100552
athlete	0.0989218
contender	0.0981378
candidate	0.0966269
partner	0.0944828
developer	0.0933236
consumer	0.0918785
"phone company"	0.0911153
corporation	0.0901263
business	0.0893541
Microsoft	0.0892158
client	0.0882638
operator	0.0875708
others	0.0875419
user	0.0871535
bidder	0.0867966
employer	0.086586
advertiser	0.0862204
automakers	0.0859997
employee	0.0853853
producer	0.0839809
people	0.0839451
team	0.0838856
politician	0.0833413
network	0.083036
bank	0.0829923
product	0.082642
peer	0.0826374
Netscape	0.0825698
executive	0.0825314
brand	0.0822367
neighbor	0.0816168
owner	0.0813002
trader	0.0809153
Republican	0.080582
industry	0.0804495
vendor	0.0803958
startup	0.0803567
driver	0.0802739
those	0.080231
insurer	0.0801889
shareholder	0.0801876
merchant	0.080088
American	0.0799568
individual	0.0798838
golfer	0.0798098
dealer	0.0797839
guy	0.0793055
enemy	0.0782912
stock	0.0779193
worker	0.0775978
broker	0.0775873
leader	0.0774165
group	0.0771612
farmer	0.0769995
marketers	0.0764838
entrepreneur	0.0764803
seller	0.0764204
man	0.0761048
member	0.0760885
professional	0.0759095
Democrat	0.0755885
Intel	0.0754702
enterprise	0.0751391
participant	0.0749341
student	0.0748823
performer	0.0747866
market	0.0746195
manager	0.0745968
exporter	0.0743338
ones	0.0741306
woman	0.0739703
citizen	0.0735882
"financial institution"	0.0732069
critic	0.0731949
adversary	0.0730329
European	0.0728836
subsidiary	0.0727065
visitor	0.0724882
journalist	0.0723386
nation	0.0721717
counterpart	0.0721191
IBM	0.0720662
fan	0.071557
person	0.0714787
official	0.0714722
outsider	0.0713861
businessmen	0.0713823
Bush	0.0711613
service	0.0708545
entrant	0.0707886
institution	0.0705483
contractor	0.0705325
"insurance company"	0.070254
publisher	0.0701519
foe	0.0700777
rider	0.0700367
"vice president"	0.0699692
upstart	0.0698623
parent	0.0698444
Portal	0.0697528
model	0.0696305
ally	0.0695076
everyone	0.0694329
broadcaster	0.0694215
artist	0.0692561
sponsor	0.069244
organization	0.069235
friend	0.0688939
alternative	0.0685998
scientist	0.068331
ISPs	0.067926
front-runner	0.0679072
champion	0.0676798
agency	0.0676654
AOL	0.0676644
country	0.0675887
distributor	0.0675841
anyone	0.0673732
site	0.0673181
applicant	0.0669798
technology	0.0669578
winner	0.0669219
designer	0.0667876
store	0.0667462
someone	0.0665763
swimmer	0.0665639
"America Online"	0.0663643
agent	0.0663375
Boeing	0.0663275
lender	0.0662714
them	0.0661729
subscriber	0.0660483
conglomerate	0.0659228
regulator	0.0658562
utility	0.0657996
conservative	0.0657469
"telephone company"	0.0656926
colleague	0.0656417
bookseller	0.0655636
software	0.0654707
contestant	0.0653179
speculator	0.0652163
lawyer	0.0650794
chain	0.0650696
lawmaker	0.0650583
viewer	0.0648999
powerhouse	0.064816
grower	0.0647516
foreigner	0.0647185
unit	0.064664
patient	0.0643638
supporter	0.0641589
criminal	0.0641098
government	0.0639792
share	0.0638428
us	0.0638182
shopper	0.0637724
donor	0.0637609
prosecutor	0.0637077
hopefuls	0.0636135
anybody	0.063506
multinationals	0.0634435
Bradley	0.0632559
venture	0.0629947
racer	0.0629483
kid	0.0627341
resident	0.0626687
"brokerage firm"	0.0623926
Compaq	0.062384
tourist	0.0623747
favorite	0.0622779
runner	0.0622281
newcomer	0.0621274
veteran	0.0619839
bottlers	0.0619817
senator	0.0619568
doctor	0.0619063
challenge	0.0619042
officer	0.0618937
skier	0.0617542
outlet	0.0617122
media	0.0616879
))
(compilation (desc 19993.4) (sims
Anthology	0.135888
collection	0.124548
reissue	0.108307
Compendium	0.100133
Recording	0.0931415
album	0.0902541
summary	0.086153
CD	0.0830964
excerpt	0.0816592
"new edition"	0.0807246
disc	0.0802866
copy	0.0796487
catalogue	0.0781587
translation	0.0761913
publication	0.0759222
trove	0.0753685
Encyclopedia	0.0746102
ream	0.074436
analysis	0.0736945
SAMPLER	0.0717214
snippet	0.0696654
catalog	0.0683023
version	0.0682336
selection	0.067607
paucity	0.0674042
photocopy	0.0658738
biography	0.0651929
cassette	0.0647637
presentation	0.0645559
booklet	0.0638427
sampling	0.0637121
transcript	0.0636088
dissemination	0.0636046
edition	0.0633369
hodgepodge	0.0629839
reprint	0.0627827
page	0.0619237
CD-ROM	0.0616177
interpretation	0.0615558
overview	0.0606049
gist	0.0600842
audit	0.0600046
archive	0.0598032
soundtrack	0.0596433
sheaf	0.0588702
downloading	0.0588354
remix	0.0584009
"treasure trove"	0.0580142
editing	0.0578011
cookbook	0.0577211
tome	0.0576094
synopsis	0.0575524
manuscript	0.0575129
tape	0.0573818
memoir	0.057274
text	0.0572256
video	0.0572224
rendition	0.0569722
sendup	0.056775
revision	0.056699
examination	0.0566393
Bibliography	0.0560053
Roundup	0.0558667
declassification	0.0557847
recital	0.0556646
demo	0.055655
assortment	0.0556085
documentary	0.0552431
documentation	0.0547558
evaluation	0.0541981
mishmash	0.05399
collage	0.053792
update	0.0535984
disk	0.0533708
reading	0.0532166
plethora	0.0532005
database	0.053091
"compact disc"	0.0530769
"cassette tape"	0.0530305
array	0.0529408
Revue	0.0523274
drafting	0.0523205
adaptation	0.0521745
paragraph	0.0520121
POTPOURRI	0.0518151
montage	0.0517034
welter	0.0516541
description	0.0516397
content	0.0515271
analyses	0.0513185
directory	0.0509371
repository	0.0508776
corroboration	0.0506487
pastiche	0.0503645
disclosure	0.0501513
accuracy	0.0501224
lode	0.0501041
transcription	0.0497706
autobiography	0.0497524
sketch	0.04968
rehash	0.0495006
Exhibition	0.049232
compiler	0.0491867
listing	0.0490732
scrapbook	0.0490076
assessment	0.0489603
retrospectives	0.0489437
appendix	0.048852
outtakes	0.0488058
reworking	0.0487487
parody	0.0487437
dictionary	0.0486488
snapshot	0.0486469
printout	0.0486207
reprise	0.0483491
essay	0.0478286
article	0.0477329
recitation	0.0475934
preview	0.0472696
commentary	0.0472615
excavation	0.0472597
veracity	0.0472433
"Revised Version"	0.0468824
videotape	0.0467884
slew	0.0465514
"line of products"	0.0464021
juxtaposition	0.0463225
reexamination	0.0462428
monograph	0.046035
authenticity	0.0457885
clip	0.0457847
treatise	0.0457826
handbook	0.0457478
synthesis	0.0457267
misinterpretation	0.0454945
dramatization	0.0454681
batch	0.045448
reproduction	0.0453823
validity	0.0452682
"feature film"	0.045257
repertoire	0.0452375
melange	0.0452256
"tape recording"	0.0450552
counting	0.0450187
lyric	0.0446466
bestseller	0.0445633
sequel	0.0443415
deluge	0.0442437
library	0.0441516
pamphlet	0.0439178
poem	0.0439141
appraisal	0.0438848
sequence	0.0438423
menu	0.0436048
remake	0.0434744
mosaic	0.043389
portion	0.0432985
tapestry	0.0432913
"reference work"	0.0427334
distribution	0.04263
tutorial	0.0426064
"television show"	0.0425617
critique	0.0425279
almanac	0.0424324
retrieval	0.0423299
submission	0.0422564
dossier	0.0422083
profile	0.0420606
illustration	0.0419776
comedy	0.0419655
tabulation	0.0419338
footage	0.0419062
retelling	0.0418474
introduction	0.0418447
concert	0.0418337
trilogy	0.0418046
chart	0.0417814
retraction	0.0417553
portrait	0.0417156
smorgasbord	0.0415446
narrative	0.041355
copying	0.0412816
"limited edition"	0.0411717
publishing	0.0409169
assemblage	0.0408632
finding	0.040851
musical	0.040821
revival	0.0408143
hybrid	0.040811
installment	0.0407823
chapter	0.0405667
handful	0.0405487
DVDs	0.040519
primer	0.0404251
programming	0.0403466
showcase	0.0402662
segment	0.0402575
depiction	0.0402489
gem	0.0401736
))
(compiler (desc 2366.35) (sims
"software system"	0.0824863
"new edition"	0.0725145
coauthor	0.0683255
co-editor	0.0656569
"tool kit"	0.0614955
"computer language"	0.0608745
perusal	0.0521193
"financial officer"	0.0510796
linguist	0.0480381
"voting system"	0.0470472
firewalls	0.047011
"source code"	0.0470087
storehouse	0.0463618
"utility program"	0.0455706
"Robert Aventajado"	0.045538
"staff officer"	0.0437346
decoding	0.0431851
"laser printer"	0.0427514
supercomputers	0.0427327
"reaction time"	0.0423499
presenter	0.0422912
visualization	0.0416647
workbook	0.0413268
"house guest"	0.0411675
co-producer	0.0410987
Hummer	0.040234
"pipe organ"	0.0400199
))
(complacency (desc 13184) (sims
apathy	0.139964
overconfidence	0.132773
cynicism	0.123686
ignorance	0.103311
pessimism	0.0992768
confusion	0.0966945
skepticism	0.0938283
anxiety	0.0925444
indifference	0.0924145
inertia	0.0912458
uncertainty	0.0909973
distrust	0.0909918
arrogance	0.0907879
nervousness	0.0894825
optimism	0.0886073
selfishness	0.0871793
boredom	0.0857793
insecurity	0.0854771
uneasiness	0.0853269
panic	0.0850388
prejudice	0.084464
fragmentation	0.0831099
mistrust	0.0827624
disunity	0.0810509
instability	0.0809314
hubris	0.0792741
permissiveness	0.079093
paranoia	0.0780798
Indiscipline	0.0774903
inaction	0.0773764
disillusionment	0.076703
laxity	0.0766281
fatalism	0.0764384
alienation	0.0760572
weariness	0.0755471
intolerance	0.0755317
misunderstanding	0.0751043
euphoria	0.0749315
bitterness	0.0739284
disquiet	0.0735842
resentment	0.0732088
fatigue	0.0725889
corruption	0.0724739
inefficiency	0.0722896
wariness	0.0722514
weakness	0.0717759
frustration	0.0716136
unease	0.07156
hunger	0.0714351
affluence	0.0713516
dishonesty	0.0710408
naivete	0.070931
racism	0.0707192
ambiguity	0.0706906
carelessness	0.0706856
discontent	0.0706297
anger	0.0705958
neglect	0.0696248
inexperience	0.0694692
hesitation	0.0693771
perception	0.0690309
dissatisfaction	0.0688125
greed	0.0686325
jealousy	0.0685712
tendency	0.0682126
sloppiness	0.0681779
ambivalence	0.0681753
preconception	0.0681619
suspicion	0.0679003
dehydration	0.0676497
lawlessness	0.0674233
rejoicing	0.0674013
inconsistency	0.0673777
apprehension	0.0670387
outrage	0.0669184
self-satisfaction	0.0667202
"ill will"	0.0662243
Openness	0.0661517
discomfort	0.06598
stupidity	0.0657175
deterioration	0.0656363
backlash	0.0656236
polarization	0.0652106
unfairness	0.0649147
trepidation	0.0644642
hypocrisy	0.0644584
backsliding	0.0643714
desperation	0.0643286
malaise	0.0642519
incompetence	0.0641834
defensiveness	0.0640654
hatred	0.0639754
isolation	0.0638776
poverty	0.0637392
restlessness	0.0635229
protectionism	0.0634355
disaffection	0.0634068
decay	0.0633469
confidence	0.0632862
bias	0.0631957
destabilization	0.0631273
hopelessness	0.0628547
chaos	0.0626301
giddiness	0.062334
hysteria	0.0623006
paralysis	0.0622586
despair	0.0621786
expectation	0.0621434
degradation	0.0619431
powerlessness	0.0619156
animosity	0.0617459
"good will"	0.0616439
excitement	0.0616328
deflation	0.0616112
envy	0.0615666
inequality	0.0614543
ineptitude	0.0612852
procrastination	0.0612601
bigotry	0.0609701
doubt	0.060858
awareness	0.060806
alarm	0.0606318
recklessness	0.0601888
skittishness	0.0601447
trance	0.0600199
intransigence	0.059936
volatility	0.0597829
Obesity	0.0596089
laziness	0.0595173
breakdown	0.0591185
sameness	0.0590432
revulsion	0.0589925
dislocation	0.0588204
hostility	0.0587535
injustice	0.0585602
disenchantment	0.0583004
miscalculation	0.0579348
rift	0.0578313
anticlimax	0.0578151
amnesia	0.0578085
divisiveness	0.0576015
upheaval	0.0575943
isolationism	0.0575831
secrecy	0.0574655
interference	0.0573042
stagnation	0.0572464
jitters	0.0572402
recession	0.0572257
"inferiority complex"	0.0571924
lapse	0.0571854
favoritism	0.0570996
disappointment	0.0569508
urgency	0.0569273
certainty	0.0566256
discrimination	0.0565563
Distress	0.056536
slumber	0.0565149
"power failure"	0.0562822
misperception	0.0559632
distraction	0.0557934
unrest	0.0557887
unhappiness	0.0557506
overreaction	0.0557058
letdown	0.055684
sadness	0.0554949
malfunction	0.0554439
correctness	0.0552582
negligence	0.0552391
backwardness	0.0551157
nepotism	0.0549694
illiteracy	0.0549503
cronyism	0.0549287
finger-pointing	0.0548351
angst	0.0547425
acrimony	0.0546044
anti-Semitism	0.0544981
mediocrity	0.0544513
"difference of opinion"	0.0543991
hyperbole	0.0543384
scarcity	0.0541836
lethargy	0.0541579
overexposure	0.0541298
normalcy	0.054103
deprivation	0.0540513
gridlock	0.0540394
nostalgia	0.0540079
"double standard"	0.0539138
familiarity	0.0538416
marginalization	0.0538346
misstep	0.0538333
"red tape"	0.0537814
erosion	0.0537666
Addiction	0.0537408
self-consciousness	0.0537217
vacuum	0.0537071
fragility	0.0537038
hesitancy	0.0536109
danger	0.0535809
activism	0.0535462
misconception	0.0534841
))
(complainant (desc 1509.8) (sims
"defense lawyers"	0.105573
litigant	0.0907536
plaintiff	0.089546
Oneidas	0.0859134
wrongdoer	0.0753126
claimant	0.0752295
centenarian	0.0689694
whistleblowers	0.067726
singer-songwriters	0.0668856
parolee	0.0657031
cardholders	0.0647843
Rodionov	0.0645615
Turetzky	0.0645515
Penders	0.064044
"right whale"	0.0636815
"Cox Report"	0.0634671
Trulock	0.0627687
"church member"	0.0617248
Livoti	0.0612374
violator	0.0610988
Chinese-Indonesians	0.0609723
Maritz	0.0609548
Mullins	0.0606026
Cayugas	0.0604791
"trial lawyer"	0.0604312
Copt	0.0603068
polluter	0.0601906
beekeeper	0.0599825
RIAA	0.0593561
Musa	0.0592821
congregants	0.0589482
accuser	0.0588223
"voting machine"	0.0584878
"Coptic Christians"	0.0576111
petitioner	0.057265
supplicant	0.0570383
"Iraqi Kurds"	0.0569261
co-counsel	0.0568971
conventioneer	0.0568426
picketers	0.0562755
Katzenberg	0.0560998
Eappens	0.0560731
informant	0.0559696
Klansmen	0.0558008
Gangelhoff	0.0554544
questioner	0.0553201
"Cuban Americans"	0.054981
"television star"	0.0546174
Duffy	0.0543688
whistleblower	0.0542285
Arab-Americans	0.0538523
whistle-blowers	0.0536847
Atlantans	0.0536546
"minority shareholder"	0.0536389
Scharping	0.0531732
Eubanks	0.052883
"property owner"	0.0525697
"supporting players"	0.0525283
Auriemma	0.052494
Bedie	0.0524045
hemophiliac	0.0523972
seminarian	0.0523566
Yandarbiyev	0.0521901
"La Mont"	0.0519519
jailer	0.0518749
Ratner	0.0513318
Kodikian	0.0511223
"Baby Bells"	0.0510614
Tevanian	0.0509969
orthodontist	0.0508102
Wilhelm	0.0506575
conspirator	0.0505768
Claes	0.050458
elector	0.0500697
Schmalensee	0.0500342
Allchin	0.0500211
Levitt	0.0498752
debtor	0.0498342
co-defendants	0.0496579
"income tax return"	0.0495068
Agca	0.0494266
informer	0.0490868
cultivar	0.0490345
educationist	0.0488705
Ramseys	0.0487959
"real estate agent"	0.0487848
bisexual	0.0487354
co-conspirator	0.0487338
"Reggie Lewis"	0.0487146
Missourian	0.0486338
non-Muslims	0.0484724
Polgar	0.0484017
Ummi	0.048376
"Maturino Resendiz"	0.048342
Pustovoitenko	0.0483095
wearer	0.0483006
serviceman	0.0482588
Hodler	0.0482172
Hawaiians	0.0480589
"next of kin"	0.0479858
co-defendant	0.0478848
"Love Bug"	0.0478324
Brahimi	0.0475128
"prosecuting attorney"	0.0473655
"job candidate"	0.0473311
abuser	0.0472761
co-accused	0.0470117
herbalist	0.0470042
Wahhabis	0.0470007
typist	0.0469464
"music school"	0.0469295
"search warrant"	0.0468844
"credit system"	0.0468647
Hamlin	0.0468516
"burden of proof"	0.0467599
GSS	0.0467308
firstborn	0.0466796
alderman	0.0466629
Advani	0.0466285
trainee	0.0466277
lifter	0.0465537
"council member"	0.0465171
Northup	0.0465023
"particle accelerator"	0.0464675
"three schools"	0.0462029
ex-combatants	0.046043
Felten	0.0460343
bystander	0.0458431
Pugh	0.0457304
Bellush	0.0457198
Cheung	0.0456612
countrymen	0.0456546
skydiver	0.0455583
salesperson	0.0454774
Kasoulides	0.0454407
"five spot"	0.0454005
Azizan	0.0453889
"Albanian Kosovars"	0.0452396
licensee	0.0452261
par-@s	0.0452089
hyphen	0.045194
"newspaper publisher"	0.045189
firemen	0.0451544
Koop	0.0450972
Haworth	0.0450292
Callaghan	0.0449802
shuttlers	0.0449739
neo-Nazis	0.0449647
LDCS	0.0449582
Smyth	0.04494
Hubbell	0.0448103
"Pakalitha Mosisili"	0.0447644
Capano	0.0446707
student-athletes	0.0446201
Realtor	0.0445744
"enlisted man"	0.0445616
Abernathy	0.0445081
CBI	0.0444723
co-sponsors	0.0443489
Romanowski	0.0442187
ESCALADE	0.0442024
Alvarez	0.0441617
enlistee	0.0441551
Harris-Lewis	0.0440739
firefighter	0.0440587
"Southern Democrats"	0.0439044
Taoist	0.0437251
Khorkina	0.043707
"Sang Lan"	0.0437023
"fire fighter"	0.0437013
Marcoses	0.0436366
orangutan	0.043619
"fellow worker"	0.0436145
adopters	0.0435808
delinquent	0.0435144
Grasso	0.0435054
record-keeping	0.0434725
MBNA	0.0433431
Japanese-Americans	0.0433374
Faget	0.0432792
Deutch	0.0431956
enrollee	0.0431666
Hage	0.0431639
coworker	0.043133
"safety valve"	0.0431014
emigrant	0.0430632
shipper	0.042977
felling	0.0427613
reservist	0.0427287
Landry	0.0427033
"Osman Ali Atto"	0.0427012
hawking	0.0425875
Bedell	0.0425554
"Disabilities Act"	0.0424803
depositor	0.042474
oligarch	0.0424144
Paus	0.0424127
snowmobilers	0.0424082
attendees	0.0423986
noone	0.0423181
))
(complained (desc 1829.73) (sims
"Klaus Naumann"	0.072086
becuase	0.0500348
"roughly two-thirds"	0.0488733
pervasiveness	0.0483518
"Abdul Salam Majali"	0.0467844
recurrence	0.0436695
perpetuation	0.0431554
ravages	0.0429792
brunt	0.0410266
throe	0.0406911
de-escalation	0.0404383
Majali	0.0401114
proscription	0.0400908
))
(complaint (desc 143679) (sims
lawsuit	0.192518
allegation	0.185992
accusation	0.181752
criticism	0.165781
claim	0.164392
concern	0.139204
charge	0.138994
request	0.13854
case	0.136657
report	0.136483
question	0.127336
protest	0.125444
objection	0.122919
suit	0.12273
suggestion	0.121814
inquiry	0.121669
letter	0.118831
petition	0.117734
indictment	0.11702
grievance	0.11428
argument	0.113472
call	0.113212
incident	0.11077
comment	0.10951
investigation	0.108557
appeal	0.108351
information	0.108244
problem	0.106266
warning	0.105988
statement	0.10589
application	0.105476
proposal	0.104642
outcry	0.104313
threat	0.103648
testimony	0.103415
rumor	0.102742
recommendation	0.102649
evidence	0.100363
demand	0.0996891
filing	0.0991016
assertion	0.098296
plea	0.0981505
action	0.0981461
response	0.0979068
affidavit	0.0977008
finding	0.0965954
document	0.0954708
opinion	0.0953792
reaction	0.0939292
litigation	0.0930445
controversy	0.0922795
query	0.0921984
decision	0.0919423
"phone call"	0.0918788
message	0.0916049
suspicion	0.0913803
speculation	0.0908172
dispute	0.0908045
worry	0.0903007
violation	0.0892623
remark	0.0885993
fear	0.0884577
challenge	0.0883901
issue	0.0883447
ruling	0.0868799
attack	0.0860495
"legal action"	0.0853308
conviction	0.0851558
scandal	0.0846025
article	0.0845182
feedback	0.084186
"telephone call"	0.0839937
crime	0.0833779
abuse	0.0832947
disclosure	0.0830907
gripe	0.082914
opposition	0.0821318
memo	0.0814956
announcement	0.0807581
pressure	0.0804729
offer	0.0804606
outrage	0.0796243
arrest	0.0793639
frustration	0.0788753
prosecution	0.0788257
motion	0.0787361
matter	0.078602
condemnation	0.0783811
discussion	0.0780082
judgment	0.0765852
activity	0.0763102
violence	0.0762249
anger	0.0760552
detail	0.0759908
verdict	0.0756478
advice	0.0751343
denial	0.0749524
"news report"	0.0749225
referral	0.0748536
review	0.0747228
idea	0.0745645
failure	0.0745163
misconduct	0.0744171
tip	0.0743048
feeling	0.0742392
account	0.0742135
story	0.0739255
confession	0.0737964
email	0.0737522
proceeding	0.0736465
prediction	0.0736337
revelation	0.0734458
anxiety	0.0734058
assessment	0.073298
accident	0.0731855
support	0.0728917
behavior	0.0726685
resistance	0.0724024
subpoena	0.0721748
donation	0.0719912
law	0.0719668
plan	0.0719524
debate	0.0711823
payment	0.0711087
hearing	0.0711064
interest	0.0709779
disagreement	0.0708435
fact	0.0708415
attempt	0.0707336
harassment	0.0705315
Declaration	0.070384
instance	0.0702938
skepticism	0.0702842
assault	0.0699431
effort	0.0696611
warrant	0.069539
Death	0.0694918
perception	0.0694263
backlash	0.0693834
probe	0.0691748
contribution	0.0686556
number	0.068373
killing	0.068283
explanation	0.0682453
trial	0.0681716
order	0.068082
result	0.0680643
speech	0.0679573
data	0.0678126
resentment	0.0678043
fraud	0.067572
news	0.0675399
campaign	0.0675263
AD	0.0673166
irregularity	0.0672576
policy	0.0671127
notice	0.0670705
tactic	0.0670698
difficulty	0.0669598
leak	0.0668804
directive	0.066854
illness	0.0667801
delay	0.0664341
count	0.0663719
denunciation	0.0663316
rejection	0.0663059
view	0.0662975
scrutiny	0.0660726
bill	0.0660372
survey	0.0660055
discrimination	0.0659424
legislation	0.0658366
agreement	0.0657608
act	0.0657425
rule	0.0653962
"antitrust case"	0.0653942
change	0.0652449
initiative	0.0652265
sentiment	0.0650877
contention	0.0650717
questionnaire	0.0650452
trouble	0.065011
boycott	0.0649512
theory	0.064951
attitude	0.064885
woe	0.0648233
regulation	0.0647083
discontent	0.0646783
attention	0.0646745
symptom	0.0646362
participation	0.0645685
transaction	0.0642996
misunderstanding	0.064058
publicity	0.0638246
conflict	0.0638094
vote	0.0636619
conclusion	0.063574
situation	0.063565
confusion	0.0634875
notification	0.0634081
))
(complement (desc 11554.2) (sims
adjunct	0.0701262
"full complement"	0.0663991
antidote	0.0652235
counterpoint	0.0643498
counterbalance	0.0601574
steppingstone	0.0572655
fillip	0.0568121
stimulus	0.0567142
lead-in	0.0548853
precursor	0.0523876
accompaniment	0.049984
deterrent	0.0497351
impediment	0.04939
compliment	0.0493541
prelude	0.0491217
corrective	0.0489887
"safety valve"	0.0483603
prerequisite	0.0474272
"component part"	0.0473597
"measuring stick"	0.0464896
impetus	0.0460176
Phalanx	0.0459505
"stepping stone"	0.045741
hindrance	0.0455348
coda	0.0455214
contingent	0.0448477
counterweight	0.0446636
"test case"	0.0440931
boon	0.0436356
insulator	0.0434483
"reference point"	0.0429023
testament	0.0428272
sendoff	0.0426773
bookend	0.0417992
gatekeeper	0.0415877
retinue	0.0412936
drawback	0.0401564
))
(complementarity (desc 4166.91) (sims
interdependence	0.158714
reciprocity	0.131054
potentiality	0.130003
good-neighborliness	0.12569
"mutual understanding"	0.119618
commonality	0.111825
linkage	0.104495
synergy	0.100269
"political relation"	0.0989291
neighborliness	0.0985377
"economies of scale"	0.0959151
"labor resource"	0.0942413
interoperability	0.0915546
coexistence	0.0901059
specialization	0.0867921
equality	0.0866958
confidence-building	0.0857512
"co- operation"	0.0856328
"business relation"	0.0854089
divergence	0.0840412
Amity	0.0836103
noninterference	0.0823182
regionalization	0.0811497
self-discipline	0.0810826
Openness	0.0803647
"competitive advantage"	0.0799538
diversification	0.079522
self-reliance	0.0784464
cohesion	0.0773019
vitality	0.0746721
efficiency	0.0746174
competitiveness	0.0743581
integration	0.0730183
coherence	0.0725535
resilience	0.0699393
Convergence	0.0693096
universality	0.0689943
buoyancy	0.0683083
cohesiveness	0.066557
coordination	0.0662702
internationalization	0.0657909
dynamism	0.065304
Liberalization	0.0648753
asymmetry	0.0646436
reactivation	0.0633775
"tax advantage"	0.0631532
expertise	0.0628887
"e- commerce"	0.06253
liquidity	0.0622338
solidarity	0.0616223
governance	0.0612616
variability	0.0610715
interaction	0.0604185
know-how	0.060347
"trade relation"	0.0599951
cost-effectiveness	0.0597237
opening-up	0.0595331
regionalism	0.0589302
good-neighborly	0.0588472
upturn	0.0587706
teamwork	0.0584302
rapport	0.0579354
dialog	0.0577978
interconnection	0.0572835
"free trade"	0.0570949
"strong point"	0.0569434
imbalance	0.0565967
overheating	0.0563623
deceleration	0.0561707
homeownership	0.0560252
"job security"	0.0560224
similarity	0.0558011
downslide	0.0557605
sustainability	0.0555963
profitability	0.0554233
sincerity	0.0552768
"development strategy"	0.0552287
"Joint Declaration"	0.0550874
"change of direction"	0.0548789
"population density"	0.0546635
"weak point"	0.0544621
goodwill	0.0544218
decentralization	0.0544153
"collective security"	0.0540951
peace-building	0.0540238
"growth prospect"	0.053927
soundness	0.0538327
facilitation	0.0536979
spacing	0.053551
"raw talent"	0.0533831
capacity-building	0.0533604
spoils	0.0533024
consolidation	0.0532837
stabilization	0.0531644
compatibility	0.0531349
"cost structure"	0.0531327
fragility	0.0530917
remuneration	0.0530604
adaptability	0.0528669
"Joint Statement"	0.0526721
"personal relation"	0.0525523
democratization	0.0523783
productivity	0.0523583
"drawing power"	0.0523038
exigency	0.0522843
backwardness	0.0522629
bottleneck	0.0519557
"rapid growth"	0.0517977
continuity	0.0517556
"good will"	0.0514201
esteem	0.0514166
subordination	0.0514043
vigilance	0.0514029
"natural resource"	0.0513145
"mineral resource"	0.0512588
modernization	0.0512172
sluggishness	0.0512046
proficiency	0.0510275
"sense of responsibility"	0.0507986
transparency	0.0507449
"Peaceful Coexistence"	0.05052
vigor	0.050356
legitimacy	0.0502711
"team spirit"	0.0501865
"public trust"	0.0500497
monogamy	0.0500363
mistrust	0.0499782
"internal control"	0.0496394
closeness	0.049287
"home rule"	0.0491921
polarization	0.0486431
readjustment	0.048395
cross-fertilization	0.0483634
"rate of growth"	0.0483467
"nuclear energy"	0.04792
specificity	0.0476116
entrepreneurship	0.047525
added-value	0.0474809
perquisite	0.0472115
"memorandum of understanding"	0.0471221
"leadership role"	0.0470442
mushrooming	0.0470333
standardization	0.0469904
rapprochement	0.0469537
"sense of smell"	0.0469061
advancement	0.0468982
imperatives	0.046836
friction	0.0467308
self-regulation	0.0466697
competence	0.0465837
taxation	0.046239
pragmatism	0.0462313
utilization	0.0461048
superiority	0.0460891
effectiveness	0.0459922
co-payments	0.0459738
unanimity	0.0459618
inequality	0.0458824
differentiation	0.0458212
intimacy	0.0457259
toehold	0.0457151
prestige	0.0456548
backbone	0.0456539
volunteerism	0.0456359
comity	0.0455639
crosscurrent	0.0455407
maneuverability	0.0455159
knowhow	0.0454153
multi-polarization	0.0454008
harmonization	0.0453371
"support system"	0.045334
rearing	0.0452905
comprehension	0.0452414
inclusiveness	0.0451575
interrelationship	0.0451303
interchange	0.0450971
seniority	0.0449841
aquaculture	0.0448572
Manpower	0.0447462
relevance	0.0446693
biodiversity	0.0446515
deterrence	0.0446364
equilibrium	0.0446308
"investment climate"	0.0445912
professionalism	0.0444614
mobility	0.0444277
"legal right"	0.0444163
centralization	0.0444096
"investor confidence"	0.0442825
athleticism	0.0442071
automation	0.0441754
UNDCP	0.0441592
"economic value"	0.0441483
self-government	0.0440501
vulnerability	0.0439771
acknowledgement	0.0439683
detente	0.0439467
disengagement	0.0438842
nexus	0.0438637
"creature comforts"	0.0437959
))
(completeness (desc 1874.78) (sims
timeliness	0.140227
adequacy	0.0990568
objectivity	0.0941596
reliability	0.092178
comprehensiveness	0.0909252
truthfulness	0.08911
punctuality	0.0851074
authenticity	0.0833639
veracity	0.0822795
originality	0.0820507
accuracy	0.0792645
thoroughness	0.0780168
coherence	0.0765991
clarity	0.0748416
calmness	0.0700991
professionalism	0.0692997
elegance	0.0688813
cohesion	0.0684233
dependability	0.068236
cohesiveness	0.0661974
brevity	0.0649953
verisimilitude	0.0645331
specificity	0.0642394
wholeness	0.0639705
dexterity	0.063796
humility	0.0635561
validity	0.0613771
immediacy	0.0611303
believability	0.0587619
toughness	0.0586548
swiftness	0.0586176
Jewishness	0.05813
self-control	0.0577979
purity	0.0574273
potency	0.0570571
self-confidence	0.0568585
relevance	0.0567248
impartiality	0.0567146
trustworthiness	0.0567084
explosiveness	0.0561968
durability	0.0546097
sophistication	0.0542978
propriety	0.0540795
decisiveness	0.0538427
ream	0.0536381
hopefulness	0.0531239
elusiveness	0.0521963
cost-effectiveness	0.0519376
breadth	0.0517444
faithfulness	0.0516959
permanence	0.0516576
composure	0.0516422
"trial and error"	0.0509575
distinctiveness	0.0508464
vigor	0.0505651
sincerity	0.050442
deftness	0.0501417
decorum	0.0498713
multiplicity	0.0497194
uniformity	0.0496627
wholesomeness	0.0490908
"about @@@,@@@ hectares"	0.0490085
unanimity	0.048942
reasonableness	0.0487931
togetherness	0.0487108
fluidity	0.0487011
crispness	0.0482539
responsiveness	0.0481083
stamina	0.0479238
falsity	0.0473597
self-importance	0.0472233
foreboding	0.0470642
connectedness	0.0469737
genuineness	0.046607
gumption	0.0464775
buoyancy	0.0464105
accessibility	0.0461524
empathy	0.0460643
fullness	0.0457681
selflessness	0.0455474
collegiality	0.0454299
grandiosity	0.0453972
tenacity	0.0450914
usefulness	0.0449718
elasticity	0.0447356
self-worth	0.0447192
erasure	0.0446437
resilience	0.0446182
frankness	0.0444677
normality	0.0443744
semantics	0.0443391
sameness	0.0443335
confidentiality	0.0441989
self-respect	0.0439708
powerlessness	0.043915
individuality	0.043677
negation	0.0436301
uniqueness	0.0434162
timelessness	0.0431851
clear-cutting	0.0431533
agility	0.0431379
lyricism	0.0431376
assertiveness	0.0430195
inferiority	0.0429564
freshness	0.0428363
lightness	0.0426916
theatricality	0.0425434
"civic duty"	0.0425002
plethora	0.0424834
"legal representation"	0.0421451
surfeit	0.0421371
luster	0.0418157
"about @@@,@@@ acres"	0.0416825
dynamism	0.0416043
outspokenness	0.0415989
proficiency	0.0414616
enabler	0.0412761
spontaneity	0.0411296
subtlety	0.0410939
eloquence	0.0410482
"staying power"	0.0408915
serenity	0.0407409
smallness	0.0407165
bravery	0.0406799
soundness	0.0406784
finesse	0.0405909
"federal department"	0.0403937
"Henry Holt"	0.0402591
craftsmanship	0.040216
musicianship	0.040214
modesty	0.0401835
self-protection	0.0401105
"sense of purpose"	0.0401055
continuum	0.0400705
))
(completion (desc 56119.6) (sims
pass	0.111592
finalization	0.104144
launch	0.100919
construction	0.0992743
Implementation	0.0984966
touchdown	0.0976958
launching	0.0972342
resumption	0.0961982
conclusion	0.0951651
approval	0.0948537
interception	0.0904951
opening	0.0896873
phase	0.0874535
reopening	0.0871296
signing	0.0857378
restoration	0.0837027
commencement	0.0830703
introduction	0.0824577
handover	0.07923
reception	0.078054
closure	0.0772239
expansion	0.075482
ratification	0.0751289
recovery	0.0750181
inauguration	0.0748351
establishment	0.0735931
adoption	0.0733155
deployment	0.0725513
development	0.0717402
passage	0.0716117
realization	0.0715009
delivery	0.071436
withdrawal	0.0712132
agreement	0.0711256
arrival	0.0710104
renovation	0.0709916
election	0.0700691
continuation	0.0698761
announcement	0.0694384
expiration	0.0688497
Execution	0.0682801
renewal	0.0674696
"field goal"	0.0673688
improvement	0.0672949
upgrading	0.0664229
collapse	0.0655838
cancellation	0.0654662
progress	0.0653577
conversion	0.06528
damming	0.0648221
punt	0.0642372
success	0.0641594
Privatization	0.0639322
yardage	0.0638508
closing	0.0637241
acceptance	0.0632411
outcome	0.0632321
retirement	0.0628671
pullout	0.0627574
"general election"	0.0627081
enactment	0.0625603
goal	0.0624773
project	0.0622012
pullback	0.062035
objective	0.0619265
settlement	0.0618992
reduction	0.0617991
postponement	0.0617245
transfer	0.0615118
passing	0.0613876
extension	0.0611521
lifting	0.0611444
TDs	0.0610824
graduation	0.0609133
rehabilitation	0.0608291
creation	0.0606589
result	0.0605838
elimination	0.0605017
departure	0.0604063
accord	0.0603264
commissioning	0.06011
termination	0.0601074
initiation	0.0598326
reform	0.0597819
formation	0.0595845
date	0.0595554
repatriation	0.0595283
Liberalization	0.0593865
deal	0.0593336
accession	0.0588586
growth	0.0586734
TD	0.0586159
operation	0.0583231
normalization	0.0580912
restructuring	0.0579153
expiry	0.0578994
strengthening	0.0578753
acceleration	0.057647
maintenance	0.057586
acquisition	0.0573306
appointment	0.0572225
takeover	0.0571589
beginning	0.0569001
installation	0.0566005
anniversary	0.0565477
entry	0.0564762
purchase	0.0563274
adjournment	0.0562481
publication	0.0561708
"initial public offering"	0.0560506
victory	0.0560422
disbursement	0.0560391
shutdown	0.0559784
suspension	0.055956
review	0.0557175
Promotion	0.055709
consolidation	0.0553969
demise	0.0552592
decision	0.0551242
fulfillment	0.0551056
financing	0.0549623
modernization	0.0549614
kickoff	0.054709
demolition	0.054602
issuance	0.0545581
downs	0.0545411
removal	0.0544741
merger	0.0544269
convening	0.0543935
participation	0.0542571
pace	0.0537673
evaluation	0.053752
birth	0.053666
sale	0.0531133
process	0.0530867
upgrade	0.0529597
disarmament	0.0529443
trial	0.0527407
ending	0.0526317
reorganization	0.0525768
resolution	0.0524965
reconstruction	0.0524575
series	0.0522872
discovery	0.0516635
referendum	0.0514798
harvest	0.0513496
availability	0.0512931
audit	0.0512278
unveiling	0.0511217
transition	0.0509416
integration	0.0507519
relocation	0.0507331
founding	0.0507008
rushing	0.0506778
breakup	0.0506483
funding	0.0506409
deadline	0.0504957
overhaul	0.0504818
achievement	0.0504741
inspection	0.0503399
yard	0.0502945
advent	0.050291
repayment	0.0502092
revision	0.0501968
preparation	0.0501067
repair	0.0499679
redeployment	0.0493822
production	0.0492744
"free throw"	0.0492474
reunification	0.0491001
milestone	0.0489587
confirmation	0.0489235
round	0.0489158
negotiation	0.048881
breakthrough	0.0488277
transformation	0.0485903
culmination	0.0484804
summit	0.0483375
destruction	0.0483023
"rapid growth"	0.0479893
hearing	0.0479306
compliance	0.047828
timetable	0.0477049
building	0.0474561
rebuilding	0.0474365
Death	0.0473752
purpose	0.0473446
investment	0.0473348
registration	0.0473064
due	0.0472902
length	0.0472591
cleanup	0.0471043
penalty	0.047012
eradication	0.046958
profitability	0.0467224
efficiency	0.0466858
fumble	0.0466713
breakdown	0.0466275
enforcement	0.0466187
framework	0.0464766
))
(complex (desc 123635) (sims
building	0.17508
facility	0.158619
hotel	0.153054
"apartment building"	0.144353
"office building"	0.140528
park	0.136822
factory	0.133705
"shopping center"	0.131804
center	0.131205
stadium	0.1304
apartment	0.130256
compound	0.129824
Tower	0.128005
Warehouse	0.126678
plant	0.122484
mall	0.119211
restaurant	0.117127
"shopping mall"	0.116828
house	0.115383
museum	0.114162
mansion	0.114123
home	0.11358
site	0.112904
residence	0.11237
headquarter	0.111852
resort	0.108438
palace	0.107758
neighborhood	0.104932
store	0.10467
project	0.1045
condominium	0.104401
office	0.103436
shop	0.103406
"parking lot"	0.103005
theater	0.102213
airport	0.102101
area	0.101703
village	0.101352
station	0.100216
"power plant"	0.100066
hall	0.0995525
garage	0.0991747
campus	0.0991659
base	0.098003
refinery	0.0976374
church	0.0973214
arena	0.0972947
terminal	0.097091
"industrial park"	0.0962689
camp	0.0957794
garden	0.0953158
Casino	0.0950782
structure	0.0948158
library	0.0942683
school	0.0939964
hospital	0.0937653
"theme park"	0.0934287
"power station"	0.093361
barrack	0.0933148
mosque	0.0929657
location	0.0927254
farm	0.0920265
downtown	0.0916298
dormitory	0.0914496
town	0.0896272
"movie theater"	0.089613
Ballpark	0.0885948
temple	0.0882294
depot	0.0878749
property	0.087799
space	0.087772
plaza	0.0875308
studio	0.086739
high-rise	0.0865658
estate	0.0864872
embassy	0.0863218
room	0.0861021
city	0.0852225
Housing	0.0850395
"police station"	0.0849108
clinic	0.0846905
"amusement park"	0.0845926
courthouse	0.0843664
Villa	0.0842071
subdivision	0.083741
cafe	0.0832223
district	0.0830602
laboratory	0.0820976
venue	0.0819104
"community center"	0.0813063
motel	0.0813059
"apartment house"	0.0812692
monument	0.0802935
"conference center"	0.079811
cemetery	0.0797997
block	0.0796613
system	0.0792591
gallery	0.0792248
construction	0.0789983
"department store"	0.0789008
lab	0.0786039
bridge	0.0783442
inn	0.078306
gym	0.078292
operation	0.07821
skyscraper	0.0782017
shelter	0.0781413
square	0.0780545
unit	0.077803
prison	0.0776656
"golf course"	0.0775385
business	0.07751
installation	0.077493
"art gallery"	0.0772756
attraction	0.0772571
zone	0.0770407
memorial	0.0769661
section	0.0767389
hangar	0.0766715
synagogue	0.0766236
"post office"	0.0762922
"concert hall"	0.0758747
mill	0.0758634
ranch	0.075557
reactor	0.0751786
"exhibition hall"	0.0750893
"town house"	0.0747351
pavilion	0.0745922
dam	0.0745774
"oil refinery"	0.0743132
port	0.0742103
lodge	0.0741521
cottage	0.0741064
tunnel	0.0737315
field	0.0736364
"gas station"	0.0735792
community	0.0732151
Castle	0.0730259
"housing development"	0.0729694
"entertainment center"	0.0727959
dwelling	0.0727046
suite	0.0726905
network	0.0718593
"U.S. Embassy"	0.0717848
program	0.0717402
loft	0.0714255
supermarket	0.0712563
auditorium	0.0711404
mine	0.070697
"manufacturing plant"	0.0706535
street	0.0705534
dock	0.0705458
infrastructure	0.0702889
club	0.0699974
chapel	0.0699601
renovation	0.069884
development	0.0697577
classroom	0.0697571
outpost	0.0697227
Capitol	0.0694343
courtyard	0.0694309
land	0.0693576
landmark	0.0693523
Monastery	0.0690153
kitchen	0.0688776
bar	0.068815
outlet	0.0687932
centre	0.0686694
pier	0.0686549
airfield	0.0686341
edifice	0.0685441
headquarters	0.0685375
Cathedral	0.0685205
"sports arena"	0.0682388
suburb	0.0681887
basement	0.0681467
zoo	0.0680898
"train station"	0.0680877
wall	0.0680832
place	0.0678087
"football stadium"	0.0677294
"high school"	0.0675837
"city hall"	0.0675001
nightclub	0.0674454
market	0.0674387
gate	0.0673105
condo	0.0673038
pipeline	0.0672619
"railway station"	0.0672083
industry	0.067142
company	0.066961
cafeteria	0.0669327
institution	0.066494
enclave	0.0663134
"nursing home"	0.0661686
sanctuary	0.0660964
highway	0.0659755
"research center"	0.0658036
venture	0.0657816
playground	0.0657371
))
(complexion (desc 6348) (sims
goatee	0.115591
moustache	0.100614
mustache	0.0981674
"skin color"	0.0955409
sideburn	0.0931219
dimple	0.0924635
cheekbone	0.083412
freckle	0.0832566
Beard	0.0803352
skin	0.0799078
cheek	0.0784518
eyebrow	0.0749209
physique	0.0742878
braid	0.0692913
gait	0.0687924
hairline	0.0674857
"good looks"	0.0659148
visage	0.0641186
makeup	0.0605901
"crew cut"	0.0605226
demeanor	0.0604064
stubble	0.0598222
PIERCINGS	0.0593823
Afro	0.0586296
diction	0.057963
hue	0.0576243
blond	0.0573865
grin	0.0571606
"first points"	0.055159
temperament	0.0548283
eyeliner	0.0544725
"nose ring"	0.0533394
texture	0.0530093
patina	0.0526133
"eye socket"	0.0522322
pallor	0.0518778
contour	0.0515311
fingernail	0.0513365
brogue	0.0512855
"sense of humor"	0.0503422
toenail	0.0498051
tinge	0.0491993
vibrato	0.0489178
"professional life"	0.048774
dynamics	0.0482001
earring	0.0475327
forehead	0.0473928
mien	0.0473913
tint	0.0473872
"blue sky"	0.0471806
"business suit"	0.0469474
drawl	0.0468026
navel	0.0466611
Chin	0.0465927
sunglasses	0.04656
lipstick	0.046477
fur	0.0464274
disposition	0.04633
"black eye"	0.0459209
"facial expression"	0.0455593
Roux	0.0455587
mane	0.0453752
tempo	0.0451962
"social status"	0.0451706
"good manners"	0.0451033
"first basket"	0.0445645
haircut	0.0444656
hairstyle	0.0443556
brow	0.04429
coloring	0.0442022
fuzz	0.04416
acne	0.0437618
self-image	0.0434839
headband	0.0431964
flesh	0.0427748
scowl	0.0427389
morals	0.0427047
countenance	0.0425721
whisker	0.0425186
colours	0.0424831
tenor	0.0424263
"sexual desire"	0.0424079
lifestyles	0.0423259
mind-set	0.0422996
hairdo	0.0421176
nostril	0.0418015
miniskirt	0.0416445
"credit history"	0.0415602
"family name"	0.0409394
wig	0.040758
bosom	0.0406817
discoloration	0.0405053
calculus	0.0404351
aesthetics	0.0402708
"sport shirt"	0.0401138
wardrobe	0.040113
))
(complexity (desc 39305.4) (sims
nuance	0.134655
intricacy	0.132905
depth	0.130072
difficulty	0.128119
seriousness	0.127684
intensity	0.124854
subtlety	0.122611
nature	0.122277
importance	0.120649
richness	0.120395
scope	0.120137
breadth	0.119739
sophistication	0.119514
diversity	0.115502
uncertainty	0.114189
severity	0.112429
clarity	0.110296
ambiguity	0.109385
contradiction	0.10748
magnitude	0.107025
urgency	0.10607
volatility	0.104801
dimension	0.103883
quality	0.102625
fragility	0.102365
beauty	0.101887
sensitivity	0.0999516
aspect	0.0998276
reality	0.099728
lack	0.0993739
significance	0.0992015
strength	0.0988626
gravity	0.098626
meaning	0.0972437
vulnerability	0.0962253
detail	0.0961852
paradox	0.0961465
hardship	0.0950347
consequence	0.0949537
uniqueness	0.0948273
size	0.0916127
irony	0.0914386
implication	0.0913194
impact	0.0904763
efficiency	0.0903931
immediacy	0.0894072
emotion	0.088972
stress	0.0888916
dynamics	0.0882152
shortcoming	0.087183
vitality	0.0871381
confusion	0.0871048
texture	0.0870916
enormity	0.0861538
possibility	0.0861501
tension	0.0861302
heft	0.0856609
Limitation	0.0854141
potential	0.0850056
simplicity	0.0848017
excitement	0.08468
freshness	0.0845357
flaw	0.0837089
warmth	0.0836833
problem	0.0834456
perception	0.0834262
variety	0.0828833
sense	0.0824332
elegance	0.0823402
ability	0.0823027
popularity	0.082015
passion	0.0818798
Creativity	0.0817467
absurdity	0.0816187
fact	0.0815191
virtuosity	0.0814959
cost	0.0813726
danger	0.0812243
scale	0.0809503
context	0.0808498
evolution	0.0807232
potency	0.0807074
constraint	0.0806207
risk	0.0805441
rigor	0.0802431
versatility	0.080008
weakness	0.079775
anxiety	0.0797613
challenge	0.0794346
density	0.0793821
inadequacy	0.0791256
originality	0.0785836
mystery	0.0784303
flexibility	0.0784238
value	0.0781188
knowledge	0.0781024
complication	0.0780512
dynamic	0.07804
refinement	0.0774386
extent	0.0774011
effectiveness	0.0772693
dignity	0.0772205
charm	0.0772171
frustration	0.0771492
dilemma	0.0769474
structure	0.0769271
vagary	0.0767425
fluidity	0.0767377
inconsistency	0.0765206
skill	0.0764929
burden	0.07648
availability	0.0763482
symbolism	0.0763328
speed	0.0758225
resonance	0.0758013
unpredictability	0.0757539
timing	0.0751449
instability	0.0749694
flavor	0.0749508
circumstance	0.0745535
pitfall	0.0741683
frequency	0.0741497
capability	0.0741396
willingness	0.0740893
weight	0.0739055
intrigue	0.0738876
peril	0.073845
pressure	0.0738208
vibrancy	0.0738094
characteristic	0.073745
resilience	0.0737259
generosity	0.0737123
style	0.0736872
ramification	0.0736142
quirk	0.0735432
mastery	0.0735029
sweetness	0.0734217
talent	0.0732783
tragedy	0.0732549
kind	0.0732165
feasibility	0.0730843
dynamism	0.0728513
inconvenience	0.0728141
vision	0.0726598
pain	0.0725187
fragmentation	0.0722111
solidity	0.072147
consistency	0.0720353
honesty	0.0719177
maturity	0.0717918
intimacy	0.0716622
understanding	0.0716099
element	0.0715811
theatricality	0.0712254
responsibility	0.0711922
humor	0.070974
reliability	0.070972
effect	0.0709642
innovation	0.0707926
tenacity	0.070762
imperfection	0.0707116
inefficiency	0.0707001
compassion	0.0706653
difference	0.0702866
pattern	0.0702003
accuracy	0.0701861
workload	0.0701581
conundrum	0.0698724
vastness	0.0698477
feeling	0.0697706
facet	0.0697156
poignancy	0.0696717
taste	0.0695446
merit	0.0695342
intelligence	0.0694656
transformation	0.069377
duration	0.0693088
athleticism	0.0692501
desire	0.0690628
clout	0.0690168
delicacy	0.068905
"red tape"	0.0688929
pathos	0.068859
purity	0.0688494
experience	0.0688463
trend	0.0687975
fear	0.0687233
character	0.068715
precision	0.0686882
greatness	0.0685998
realism	0.0685833
workings	0.0685571
influence	0.0683216
personality	0.068319
quickness	0.0683158
insight	0.0682112
history	0.0681638
liquidity	0.0681352
grandeur	0.0681194
insecurity	0.0680539
))
(compliance (desc 55348.9) (sims
accordance	0.168411
noncompliance	0.149763
conformity	0.13951
Implementation	0.125059
enforcement	0.113364
disarmament	0.104961
adherence	0.102801
readiness	0.0976878
acceptance	0.0925801
violation	0.0912083
cooperation	0.0907184
inspection	0.086507
safety	0.0848205
progress	0.0827166
control	0.0819678
agreement	0.0817431
participation	0.0806755
pullout	0.0805877
withdrawal	0.0799696
transparency	0.078962
preparedness	0.0783487
protection	0.078024
reliability	0.0777039
"quality control"	0.0772307
accountability	0.0769929
coordination	0.0767588
commitment	0.0764526
policy	0.076248
oversight	0.0758516
verification	0.0754407
management	0.075392
security	0.0749104
accord	0.0749077
development	0.0748467
compatibility	0.0739847
harmonization	0.0738632
maintenance	0.0737029
governance	0.0733962
registration	0.0725936
reform	0.0719539
standard	0.0718797
regulation	0.0716749
health	0.0713665
settlement	0.0708606
action	0.0705616
integration	0.0704341
response	0.0703309
discipline	0.0702833
process	0.0701439
negotiation	0.0701154
requirement	0.0695903
efficiency	0.0689635
preparation	0.0689026
supervision	0.0687702
fulfillment	0.0686889
quality	0.0686309
"internal control"	0.0684971
procedure	0.0684626
Openness	0.0682322
non-cooperation	0.0682264
disclosure	0.06754
framework	0.0674969
effort	0.0673103
operation	0.0671521
adoption	0.0667636
accreditation	0.0666862
planning	0.0661943
Liberalization	0.0659274
effectiveness	0.0658388
"tax collection"	0.0656915
peace	0.0656475
stability	0.0653036
integrity	0.0651726
repayment	0.0651694
defiance	0.0648355
flexibility	0.064692
approval	0.0640132
certification	0.0640098
fairness	0.0637775
unity	0.0636256
accuracy	0.0634451
democratization	0.0633008
willingness	0.0632091
reduction	0.0627467
evaluation	0.0625032
eradication	0.0623568
cease-fire	0.0622428
demilitarization	0.062081
transfer	0.0620361
restoration	0.0619024
improvement	0.0618985
ratification	0.0618072
system	0.0617805
assessment	0.0617762
Privatization	0.061374
recognition	0.0612381
involvement	0.0611728
employment	0.0610997
payment	0.061014
Cessation	0.0609888
law	0.0608555
equality	0.0608301
membership	0.0607337
preservation	0.0607054
prevention	0.0607016
self-sufficiency	0.0604557
repatriation	0.0604369
financing	0.0604105
taxation	0.0602777
recovery	0.0602025
relation	0.0600997
availability	0.0600589
sovereignty	0.0600496
principle	0.0600026
legislation	0.0597708
interest	0.0595906
attendance	0.0594597
testing	0.0593676
application	0.0593292
realization	0.0591092
qualification	0.0591038
profitability	0.0589144
provision	0.0589012
demand	0.0588124
"customer service"	0.0587821
ownership	0.0587423
education	0.0586689
environment	0.0585882
measure	0.0585455
monitoring	0.0585232
resolution	0.0584542
access	0.0582679
accounting	0.0581259
contact	0.0581246
solution	0.0580574
respect	0.0580351
arrangement	0.0579832
recruitment	0.0579172
productivity	0.0578908
understanding	0.057878
standardization	0.0578139
Declaration	0.0577949
care	0.0577266
pullback	0.0577069
"background check"	0.0576932
status	0.0576074
"law enforcement"	0.0575001
guideline	0.0574264
Iraq	0.0573876
reconciliation	0.0573353
distribution	0.0572842
utilization	0.057246
allocation	0.0572062
resumption	0.0570973
"human right"	0.0570771
procurement	0.0570496
fitness	0.0570489
funding	0.0570457
activity	0.0570413
compromise	0.057014
literacy	0.0570119
tolerance	0.0566886
rejection	0.0564741
modernization	0.0564516
restraint	0.0564464
satisfaction	0.0564421
audit	0.0564395
safeguard	0.0562605
elimination	0.0560727
condition	0.0560688
sanction	0.0559631
deployment	0.055925
surveillance	0.0559202
decision	0.055866
ban	0.0558433
Privacy	0.0558161
capability	0.0558055
lifting	0.0557916
revision	0.0556356
conservation	0.0555879
refusal	0.0555704
consent	0.0554433
consultation	0.0552768
survival	0.055176
ability	0.0550621
proposal	0.0550359
reconstruction	0.0550162
competence	0.0549135
authenticity	0.0549082
independence	0.0549021
ceasefire	0.0548762
reunification	0.0548429
capitulation	0.0547409
expansion	0.0547217
contradiction	0.0546206
Treaty	0.0544378
solidarity	0.0544064
viability	0.0543872
collaboration	0.0543627
obligation	0.0543334
))
(complication (desc 41472) (sims
infection	0.190407
ailment	0.17949
"side effect"	0.173349
illness	0.167064
pneumonia	0.157519
"heart disease"	0.155957
"heart attack"	0.149432
disease	0.146145
disorder	0.145089
"health problem"	0.142525
symptom	0.141431
"heart failure"	0.136416
cancer	0.13308
"liver disease"	0.130296
"congestive heart failure"	0.126831
defect	0.124456
problem	0.124026
"blood clot"	0.124016
abnormality	0.123303
dehydration	0.12264
diabetes	0.120021
trauma	0.119424
relapse	0.117098
"cardiovascular disease"	0.115407
pain	0.115175
risk	0.114185
hypertension	0.113288
ulcer	0.113123
"colon cancer"	0.112057
difficulty	0.111105
suffering	0.109613
"lung cancer"	0.109429
malnutrition	0.109096
syndrome	0.107826
disruption	0.106462
diarrhea	0.105928
injury	0.105339
hemorrhage	0.104934
"brain tumor"	0.104269
leukemia	0.10423
asthma	0.103753
epidemic	0.103437
damage	0.102897
"heart condition"	0.101146
glitch	0.0995277
consequence	0.0990771
"food poisoning"	0.0990373
overdose	0.0987469
recurrence	0.0983563
anemia	0.0979486
stress	0.0978315
emphysema	0.0977581
mortality	0.0971789
side-effects	0.0964174
Meningitis	0.0963364
Osteoporosis	0.0959749
stroke	0.0958763
"death rate"	0.0958543
danger	0.0947619
incidence	0.0946337
failure	0.094431
uncertainty	0.0944052
inflammation	0.0935307
tuberculosis	0.0927973
headache	0.0924872
Death	0.0923032
Depression	0.0921793
deterioration	0.0921439
poisoning	0.0918096
"kidney disease"	0.091679
fever	0.0910875
hardship	0.0908432
hazard	0.0907991
outbreak	0.0907603
malaria	0.090449
fatigue	0.0903241
malady	0.0902357
accident	0.0900234
deficiency	0.0900151
"high blood pressure"	0.0899383
virus	0.0894042
discomfort	0.0893344
nausea	0.0883944
paralysis	0.0880057
blindness	0.0874418
harm	0.0874055
disability	0.0873994
hypothermia	0.087218
flu	0.0864951
"financial loss"	0.086493
"skin cancer"	0.0864769
lymphoma	0.0854702
tumor	0.0854364
seizure	0.0852003
miscarriage	0.084971
exposure	0.0844949
allergy	0.0844621
"chest pain"	0.084435
strain	0.08437
disaster	0.0841732
arthritis	0.0837248
"infectious disease"	0.0834751
pitfall	0.0831165
trouble	0.0830325
aftereffect	0.0829089
inconvenience	0.0827025
contamination	0.0824367
Obesity	0.0823742
condition	0.0820537
sickness	0.0817933
confusion	0.0815022
fracture	0.0814497
effect	0.080988
diarrhoea	0.0807921
shortage	0.0804184
wound	0.0803596
diagnosis	0.0801243
instability	0.0798852
"mental illness"	0.0797493
dementia	0.0796221
starvation	0.0794854
"asthma attack"	0.0794456
"risk factor"	0.0791875
impairment	0.0790645
"skin disease"	0.0789836
pregnancy	0.0787926
mishap	0.0787536
calamity	0.078684
hospitalization	0.0785597
bronchitis	0.0784649
"sexually transmitted disease"	0.0783731
complexity	0.0780512
setback	0.0778918
Exhaustion	0.0775375
misunderstanding	0.0773107
"mental disorder"	0.0772807
Alcoholism	0.0772703
mistake	0.0771181
cirrhosis	0.0770845
atherosclerosis	0.0770811
disturbance	0.0769821
crises	0.076628
snag	0.0764893
schizophrenia	0.0764804
deformity	0.0763384
flaw	0.075959
famine	0.0753917
distraction	0.075389
treatment	0.0753699
breakdown	0.0752655
shock	0.07498
"Parkinson's disease"	0.074928
surgery	0.0747652
"memory loss"	0.0747631
arrhythmia	0.0745326
swelling	0.0744336
hunger	0.0743705
gastroenteritis	0.0742577
burden	0.0741619
"back pain"	0.0741066
malfunction	0.0739779
"multiple sclerosis"	0.0737199
outages	0.0737104
error	0.0736942
catastrophe	0.0736544
erosion	0.0734342
fatality	0.0733084
obstacle	0.0732249
delay	0.0728567
"eye disease"	0.0725281
HIV	0.0720738
tension	0.0717747
occurrence	0.0716532
anxiety	0.0712387
retardation	0.0710224
"respiratory disease"	0.071003
epilepsy	0.0709954
toxicity	0.070477
heartbeat	0.0700719
constraint	0.0699179
fallout	0.0697007
osteoarthritis	0.0694854
slowdown	0.069463
tragedy	0.0693786
hassle	0.0691932
irregularity	0.0691797
shortcoming	0.0690974
Distress	0.0690577
weakness	0.0690238
"heat exhaustion"	0.0687581
insomnia	0.0685283
violence	0.0684998
"mortality rate"	0.0683953
cataract	0.0683008
angina	0.0682576
suffocation	0.0681813
casualty	0.0681714
downturn	0.0681603
repercussion	0.0680023
irritation	0.067937
))
(complicit (desc 2761.51) (sims
"paying attention"	0.104533
complicity	0.102901
proactive	0.0984781
gung-ho	0.0732584
"throwing away"	0.0709169
"treading water"	0.0670395
co-conspirator	0.0608836
guessing	0.0585789
colorblind	0.0584644
picky	0.0570117
"making love"	0.0568914
incompetent	0.0568795
accomplice	0.0564334
privy	0.0543913
pro-life	0.0531164
weirdo	0.0528066
overweight	0.0522438
well-versed	0.0522121
cog	0.0514355
"Sunni Muslims"	0.051413
lactose	0.050965
"living together"	0.0505988
adopters	0.050167
alarmist	0.0486606
"coming together"	0.0465387
HIV-positive	0.0461664
breadwinner	0.0459471
up-front	0.0459214
ill-prepared	0.0458854
one-minute	0.0456899
"sitting duck"	0.0454984
accepting	0.0450129
college-educated	0.0449739
"jumping up and down"	0.044772
"free people"	0.0447469
outta	0.0446317
pro-choice	0.0445832
TRUANT	0.044117
"important person"	0.0440407
"pain in the neck"	0.0437216
simpatico	0.0433701
"Jehovah's Witnesses"	0.0417141
hellbent	0.0412045
sinner	0.0407784
"running away"	0.0407292
"bad guy"	0.0402584
"risk taker"	0.0400811
))
(complicity (desc 12912.4) (sims
involvement	0.177656
wrongdoing	0.146698
manslaughter	0.127478
embezzlement	0.126617
treason	0.117898
collusion	0.116089
negligence	0.114483
bribery	0.109854
conspiracy	0.10924
culpability	0.108012
"child abuse"	0.10792
"war crime"	0.10756
complicit	0.102901
misconduct	0.101571
"tax evasion"	0.101526
espionage	0.101357
incitement	0.100195
tampering	0.0999962
spying	0.09945
perjury	0.0988725
bribe-taking	0.0970675
sedition	0.0969676
corruption	0.0943803
dereliction	0.0941545
"securities fraud"	0.0931633
"insider trading"	0.0927833
sodomy	0.0925935
subversion	0.0921085
forgery	0.0918852
incompetence	0.091231
fraud	0.0910796
accomplice	0.0903602
graft	0.0895735
racketeering	0.0892926
"money laundering"	0.0883815
impropriety	0.0883786
abuse	0.0873788
"foul play"	0.0871044
malpractice	0.0857016
cover-up	0.0856311
mismanagement	0.085477
extortion	0.0852176
rape	0.0847398
theft	0.0844946
misdeed	0.0843978
burglary	0.0839532
arson	0.0838219
obstruction	0.0822759
misuse	0.0818494
"sexual assault"	0.0811656
shoplifting	0.0809307
violation	0.0807711
"election fraud"	0.0802572
"high treason"	0.0800408
disloyalty	0.0792168
"drug trafficking"	0.079179
"armed robbery"	0.0781942
kidnapping	0.0780937
price-fixing	0.0777259
malfeasance	0.0774174
libel	0.0771097
brutality	0.0764407
atrocity	0.0762102
offence	0.0761269
neglect	0.0752186
"contempt of court"	0.0744931
"disorderly conduct"	0.0736223
dishonesty	0.0735036
trafficking	0.0734785
participation	0.0734326
"lying under oath"	0.0733055
insensitivity	0.0732977
homicide	0.0727416
infidelity	0.0725221
"breach of trust"	0.0721727
connivance	0.07214
coverup	0.071666
abduction	0.0712881
guilt	0.0712252
conspirator	0.0705723
"assault and battery"	0.0705154
plagiarism	0.0702304
"sexual harassment"	0.0701816
robbery	0.0697554
felony	0.0697554
breach	0.0689327
influence-peddling	0.0688441
torture	0.0682635
illegality	0.0681524
smuggling	0.0680835
hijacking	0.0678187
inaction	0.0676652
irregularity	0.0675239
motive	0.06722
nepotism	0.0668808
hypocrisy	0.0666832
intimidation	0.0666152
upsurge	0.0660442
irresponsibility	0.0658638
insanity	0.0655436
gunrunning	0.0654624
genocide	0.0654454
misbehavior	0.0648554
slaying	0.0638485
"quid pro quo"	0.0636625
cronyism	0.0635931
"false imprisonment"	0.062835
acquiescence	0.0627932
cruelty	0.0622692
adultery	0.0622426
responsibility	0.0618808
indifference	0.0618609
misdemeanor	0.0618079
reluctance	0.0617272
vote-buying	0.0613612
contempt	0.0611864
rigging	0.0611037
duplicity	0.0609761
mutiny	0.060806
laxity	0.0607716
molestation	0.0606302
"drug use"	0.0605072
harassment	0.0603985
mistreatment	0.0600297
indiscretion	0.0597945
deception	0.0594777
dealings	0.0593663
anti-Semitism	0.05935
vandalism	0.0593288
larceny	0.0586999
terrorism	0.0584315
"grand larceny"	0.0583728
malice	0.058042
misappropriation	0.0580197
coercion	0.0575352
bias	0.057505
interference	0.0572337
infraction	0.0571229
arrogance	0.0566906
"double standard"	0.0566251
endangerment	0.0565748
possession	0.0563868
sabotage	0.0561382
betrayal	0.0561289
evasion	0.0561254
inefficiency	0.0559748
"murder charge"	0.0559534
recklessness	0.0551601
collaboration	0.0549336
blasphemy	0.0549162
co-conspirator	0.0548073
racism	0.0545455
"mail fraud"	0.0543598
"mass murder"	0.0542763
dumping	0.0533759
maltreatment	0.0532041
suspicion	0.0531276
Innocence	0.0530943
transgression	0.0529264
driving	0.0529076
manipulation	0.0525856
intoxication	0.0524435
piracy	0.0524006
failing	0.0521899
insubordination	0.0515041
stonewalling	0.051433
discrimination	0.0511831
"resisting arrest"	0.0510891
falsity	0.0510829
conviction	0.0509582
sin	0.0507245
fixing	0.0507226
unwillingness	0.0504242
incest	0.0503137
timidity	0.0499884
defamation	0.0498126
ineptitude	0.0496257
solicitation	0.0490731
"sex act"	0.0483263
"arms deal"	0.0481666
misrule	0.0477631
infringement	0.0477344
criminality	0.0476867
bribe	0.0471675
paternity	0.04713
impunity	0.0470379
persecution	0.0468528
intrusion	0.0467952
non-cooperation	0.0467554
extermination	0.0466821
confession	0.0465483
assassination	0.0465148
favoritism	0.0464826
"key role"	0.0464115
carelessness	0.0458155
treachery	0.0456558
questioning	0.0455961
indebtedness	0.0455516
"breach of contract"	0.045409
"drug abuse"	0.0453358
))
(compliment (desc 14891.6) (sims
accolade	0.0839839
slap	0.080884
tribute	0.0786718
insult	0.075985
Hug	0.0736439
rebuke	0.0729669
"birthday present"	0.0702905
homage	0.0651981
joke	0.0650396
disservice	0.0637855
affront	0.0633122
"all clear"	0.0621016
snub	0.0618102
handshake	0.0614903
ovation	0.0598133
blessing	0.0593791
encouragement	0.0592666
distraction	0.058666
"Christmas present"	0.0585394
"lip service"	0.0580317
thrill	0.057977
"Christmas gift"	0.0575476
negative	0.0571031
high-fives	0.0570416
advice	0.0565737
kiss	0.0563021
"speeding ticket"	0.0559471
gesture	0.0555812
criticism	0.0553309
kudos	0.0542638
validation	0.0541354
congratulation	0.0539349
admiration	0.0538875
fillip	0.0535217
no-brainer	0.0533679
"bear hug"	0.052812
"thank you"	0.0522589
salutation	0.0522543
irony	0.0519815
lesson	0.0517665
endorsement	0.0517338
apology	0.0516387
metaphor	0.0514403
testament	0.0514121
justification	0.0511443
send-off	0.0508263
greeting	0.0501309
accomplishment	0.0499664
ribbing	0.0498306
thanks	0.0498231
"cold shoulder"	0.049594
insight	0.0493232
inspiration	0.0489485
affirmation	0.0488871
excuse	0.0488639
anecdote	0.048849
testimonial	0.0483275
reminder	0.0483019
fealty	0.0480969
indication	0.0479521
certainty	0.0478771
farewell	0.0475187
consolation	0.0474221
indignity	0.0474193
misconception	0.047301
"seal of approval"	0.0472932
"breathing room"	0.047222
expletive	0.0471237
hospitality	0.0469878
bargain	0.0468744
nonsense	0.0468545
coincidence	0.0467436
epiphany	0.0467265
nod	0.0463375
ballplayer	0.0462012
truth	0.0461579
affection	0.0461295
hello	0.0459753
adjective	0.045953
fluke	0.0458049
foolishness	0.0456761
motivation	0.0453708
pity	0.0453162
applause	0.0452434
salute	0.0452076
bombshell	0.0451767
gratitude	0.0449045
"quid pro quo"	0.044873
wink	0.04477
kindness	0.0447232
"success story"	0.0446814
adulation	0.0446277
comparison	0.0446262
sympathy	0.0445252
acknowledgement	0.0444736
disappointment	0.0443334
letdown	0.0443271
goodbye	0.0441986
paradox	0.0441612
sigh	0.044161
Truism	0.0440874
culpa	0.0440388
"phone call"	0.043966
jolt	0.0438931
embarrassment	0.0438363
outpouring	0.0437579
disgrace	0.0436198
"role model"	0.0435862
disrespect	0.0435723
commendation	0.04355
caveat	0.0435098
assurance	0.0433966
reassurance	0.0433805
meaning	0.0432845
"standing ovation"	0.0432397
buzz	0.0432176
oomph	0.0431882
"a few words"	0.0430565
taboo	0.043037
one-liner	0.0429849
"good story"	0.0429373
courtesy	0.0428243
"eye opener"	0.0428126
counterpoint	0.0428021
bonus	0.0427817
understatement	0.0426935
invitation	0.0426909
explanation	0.0426811
souvenir	0.0426727
catharsis	0.0426686
impression	0.0426589
incentive	0.0425104
gauntlet	0.0424828
setback	0.0421845
"job offer"	0.042165
bribe	0.0421173
query	0.0420927
perk	0.0420769
admonition	0.042059
sendoff	0.0419633
enthusiasm	0.0419211
thumbs-up	0.0418792
antidote	0.041841
feedback	0.0417954
"cash bonus"	0.0417784
"good luck"	0.0416678
trick	0.0416362
acknowledgment	0.0416197
inkling	0.041463
shocker	0.0414027
superlative	0.0413565
loyalty	0.0413263
expression	0.0412207
devotion	0.0411849
flak	0.0410978
judgment	0.0410659
gamble	0.0410028
slur	0.0409441
misunderstanding	0.0408983
mystery	0.0408955
deterrent	0.0408103
craziness	0.0407598
"turning point"	0.0407556
drawback	0.0407374
joy	0.0405441
milestone	0.0404551
rhetoric	0.0404464
Catch-@@	0.0404239
pittance	0.0403774
absolution	0.0402539
happening	0.0402107
sustenance	0.0402012
vindication	0.040146
baloney	0.0400159
))
(component (desc 101506) (sims
equipment	0.155684
product	0.126983
"spare part"	0.126944
part	0.12561
machinery	0.123638
element	0.123465
hardware	0.120117
software	0.119476
chemical	0.115404
module	0.113807
appliance	0.11343
ingredient	0.113187
material	0.113129
electronics	0.112571
semiconductor	0.110804
technology	0.110001
"raw material"	0.109139
tool	0.1076
engine	0.106979
device	0.106936
goods	0.105608
chip	0.105131
"consumer goods"	0.102749
item	0.102141
"communications equipment"	0.102095
system	0.101312
"household appliance"	0.100892
instrument	0.100023
"integrated circuit"	0.0995712
Computer	0.0985009
"machine tool"	0.0964238
fuel	0.0943034
"home appliance"	0.0933009
automobile	0.0924169
commodity	0.0917441
"disk drive"	0.0913926
"electronic equipment"	0.0911915
"building material"	0.0911592
"circuit board"	0.0910406
design	0.0891786
pharmaceutical	0.0886858
generator	0.0884423
foodstuff	0.088434
accessory	0.0882281
aspect	0.0881161
cornerstone	0.0875379
peripheral	0.0873916
"memory chip"	0.0872453
feature	0.0868158
factor	0.0857292
pillar	0.0853065
manufacturing	0.085237
capability	0.0846459
supply	0.0842712
priority	0.0839168
Satellite	0.0838137
"building block"	0.0837176
machine	0.0832524
switch	0.0830321
infrastructure	0.0830144
microprocessor	0.0817768
textile	0.0813669
model	0.0810835
weapon	0.080893
type	0.0808863
function	0.0805721
battery	0.0804429
maker	0.0803473
service	0.0801354
motor	0.0801214
medicine	0.0797031
garment	0.0796719
food	0.0796716
fertilizer	0.079226
sector	0.0789525
segment	0.0789281
sensor	0.0785958
gear	0.0785326
"operating system"	0.078351
mechanism	0.0778443
structure	0.0778184
vehicle	0.0769108
steel	0.0767834
piece	0.0765499
development	0.0763263
substance	0.0761507
valve	0.0761037
drug	0.0760353
project	0.0760243
industry	0.0759232
stock	0.0758627
aircraft	0.0756403
printer	0.07564
unit	0.0755835
application	0.0754162
company	0.075405
processor	0.0754045
kit	0.0752942
facility	0.0752792
business	0.0749911
"personal computer"	0.074678
supplier	0.0744523
metal	0.0744008
"food product"	0.074258
production	0.074229
auto	0.0740042
resource	0.073898
cable	0.0737157
"motor vehicle"	0.0735322
furniture	0.0734743
program	0.0734512
essential	0.0732696
installation	0.0731765
key	0.073065
manufacturer	0.0730564
apparel	0.0729923
objective	0.0728458
"control system"	0.072617
content	0.0723478
backbone	0.0722438
telecommunication	0.0722331
construction	0.0722185
"consumer electronics"	0.0719586
"software product"	0.0718099
indicator	0.0716194
upgrade	0.0714887
data	0.0714872
transformer	0.0714738
task	0.07129
tire	0.0712647
oil	0.0712485
plastic	0.0711704
Clothing	0.0710043
scanner	0.0709224
fiber	0.0708927
PC	0.0708804
missile	0.0707221
network	0.0704705
asset	0.070364
quality	0.0703351
concept	0.0702993
issue	0.0700888
maintenance	0.0700419
transmission	0.0699311
amount	0.069555
technique	0.069504
lubricant	0.0694305
electricity	0.0694149
gadget	0.0691207
"tv set"	0.0688696
protein	0.0687965
filter	0.0686817
processing	0.0686762
improvement	0.0683554
toy	0.0683545
benefit	0.0681771
modem	0.068171
problem	0.068132
category	0.0679383
core	0.0678862
strategy	0.0677863
cost	0.0676697
input	0.0676694
Vaccine	0.0676612
server	0.0674965
method	0.0674782
variety	0.0673706
"weapons system"	0.0672919
gas	0.0672658
cement	0.0672072
market	0.0668914
version	0.066787
transistor	0.0666435
mineral	0.0666307
energy	0.0665226
communication	0.0663416
pipe	0.066318
"production line"	0.0662611
value	0.0661771
operation	0.0660808
measure	0.0659907
petrochemical	0.0659277
shipment	0.0659216
grain	0.0658563
plant	0.0656962
microchip	0.065646
modification	0.0656406
brand	0.0655397
standard	0.0655194
necessity	0.0654674
"crude oil"	0.0653768
investment	0.0653344
engineering	0.065333
option	0.0650308
gyroscope	0.064932
"information technology"	0.0646744
portion	0.0646419
export	0.0644576
recorder	0.0643176
cosmetic	0.0642469
))
("component part" (desc 1910.7) (sims
"practical application"	0.0865732
market-oriented	0.0817236
entrepot	0.0749671
"production equipment"	0.0748805
"point of reference"	0.0718054
prerequisite	0.0697777
cornerstone	0.0688144
determinant	0.0671407
negation	0.0667478
"business line"	0.0653652
cog	0.065185
"decisive factor"	0.0650577
lifeblood	0.0643529
emitter	0.0619671
establishing	0.0616441
granary	0.061515
usurpation	0.0605725
accoutrement	0.0602741
"sounding board"	0.0589555
"postmaster general"	0.0587998
pluses	0.0587115
"focal point"	0.0586501
underpinning	0.0586204
"building block"	0.0581745
"weak point"	0.057327
enabler	0.0566699
"growth industry"	0.0565394
abdication	0.0565319
yardstick	0.0563627
deepening	0.0563609
"less than one-tenth"	0.0561809
finds	0.0556742
furtherance	0.0553564
"good example"	0.0546682
"driving force"	0.0545525
cooling	0.0543773
expedient	0.0541612
splintering	0.0538453
unraveling	0.0536155
"test case"	0.0535403
"one tenth"	0.0531884
nexus	0.0529085
"market correction"	0.0526043
singer-songwriters	0.0525259
"weapons system"	0.0524152
bedrock	0.0521074
"lingua franca"	0.0519953
"success story"	0.0511367
"trunk road"	0.0509971
reasonableness	0.0509639
linchpin	0.050804
emulator	0.0506472
validation	0.050208
"hunting ground"	0.0500794
"financial center"	0.0500423
guarantor	0.0498031
drafters	0.0491764
exponent	0.0486855
ICS	0.0483973
criterion	0.0483453
"durable goods"	0.0482015
terminus	0.0481317
"legal instrument"	0.0481256
smelters	0.0480595
"electronic database"	0.0478609
"determining factor"	0.0477651
"set back"	0.0477541
"reference point"	0.0476688
predictor	0.047372
locomotive	0.0471644
"basic principle"	0.0467656
subgenre	0.0467585
"line of business"	0.0467076
multiplicity	0.0466262
reorientation	0.0465915
"breeding ground"	0.04646
"key market"	0.0463383
"food grain"	0.0459767
"home appliance"	0.0458091
beachhead	0.0457596
"meeting place"	0.0455188
"passenger car"	0.0454048
"manufacturing business"	0.0453237
microcosm	0.0452691
"Court of Final Appeal"	0.0451645
KIMCHI	0.0450848
axis	0.0449355
non-oil	0.0449046
appendage	0.0447433
"piece of furniture"	0.0447042
"integrated circuit"	0.0443437
"About @@ per cent"	0.0443259
weakest	0.0442776
axiom	0.0441999
"Federal Assembly"	0.0440637
strongest	0.0439667
"point of entry"	0.0437697
peculiarity	0.043715
"social event"	0.0436867
reestablishment	0.0435733
accouterment	0.0435281
"Achilles' heel"	0.0434879
brightest	0.0434225
"order of business"	0.0432744
turncoat	0.0432112
thoroughfare	0.0430846
redefinition	0.043069
"fighter aircraft"	0.0429117
"six million tons"	0.0428784
breadbasket	0.0428145
Intensification	0.0427409
arranger	0.0426866
"regular army"	0.0426681
"Supreme Soviet"	0.0425745
"measuring stick"	0.0425409
"voting machine"	0.0424748
neurotransmitter	0.0423195
non-issue	0.0422099
"Action Plan"	0.0422072
initiator	0.0421465
"retail chain"	0.0420015
underbelly	0.0419664
"cash cow"	0.041865
"sum total"	0.0418191
"religious holiday"	0.0417305
"media property"	0.0416138
"food product"	0.0414764
"free port"	0.0414332
affirmation	0.0414147
"about @.@@ percent"	0.0414088
lifeline	0.0413898
"Special Economic Zones"	0.0413555
"case history"	0.0411755
pitfall	0.040837
acceptability	0.0407932
"consumer goods"	0.0406713
capstone	0.0406621
highflier	0.0406241
"first five days"	0.0405182
Masterworks	0.0404923
distillation	0.0404776
"consumer durables"	0.0404767
"center of gravity"	0.0404168
"feast day"	0.0403807
locus	0.040354
continuance	0.0403432
lackey	0.0403316
"distinctive feature"	0.0401886
marbles	0.0401365
Buicks	0.0400237
))
(composer (desc 54422.9) (sims
musician	0.184476
artist	0.181547
songwriter	0.171707
poet	0.17131
pianist	0.17075
Playwright	0.159715
painter	0.157994
choreographer	0.154017
writer	0.151561
conductor	0.146244
singer	0.145557
violinist	0.138657
novelist	0.134813
performer	0.132005
filmmakers	0.127683
arranger	0.126527
author	0.12202
actor	0.121686
designer	0.119311
filmmaker	0.117903
actress	0.115597
sculptor	0.113376
dancer	0.110796
lyricist	0.110691
philosopher	0.10985
dramatist	0.10732
architect	0.105525
scholar	0.104074
photographer	0.103267
vocalist	0.100695
historian	0.100657
guitarist	0.100477
essayist	0.099255
instrumentalist	0.0940186
"jazz musician"	0.0936568
thinker	0.0932431
entertainer	0.093208
Mozart	0.0922692
comedian	0.0915328
educator	0.0900359
scientist	0.0899182
journalist	0.0896679
innovator	0.0893889
screenwriter	0.0881276
"fashion designer"	0.0860458
master	0.0858949
music	0.0856624
teacher	0.0854449
calligrapher	0.0848741
saxophonist	0.0845713
athlete	0.0839875
physicist	0.0838917
chef	0.0837321
cellist	0.0835791
politician	0.0829686
cartoonist	0.0825347
Bach	0.0820656
drummer	0.0819969
intellectual	0.0807864
trumpeter	0.0806952
producer	0.0804336
Beethoven	0.0798293
director	0.0797025
organist	0.079478
opera	0.0793865
illustrator	0.0789509
cinematographer	0.0780324
mathematician	0.077508
orchestra	0.0770982
band	0.076987
"art historian"	0.0765821
academic	0.0764822
entrepreneur	0.0764782
inventor	0.0753883
stylist	0.0751041
creator	0.0749211
golfer	0.0745466
"movie star"	0.0743628
critic	0.0742929
star	0.0737634
musical	0.0736454
hero	0.0734392
statesman	0.0727936
preacher	0.0724999
translator	0.0720395
storyteller	0.07202
collector	0.0715174
Programmer	0.0713507
troupe	0.0709954
doctor	0.0709518
soloist	0.0708361
celebrity	0.0703571
Song	0.0703029
woman	0.0702381
Stravinsky	0.0693997
"costume designer"	0.0691801
Pioneer	0.0691024
theologian	0.0690501
man	0.0687492
percussionist	0.0684917
ballerina	0.0684739
student	0.0684354
ensemble	0.0677444
player	0.0677177
researcher	0.0674819
comic	0.06735
art	0.0671642
professional	0.0668851
businessman	0.0664493
animators	0.0663825
bassist	0.0661263
engineer	0.0657854
humorist	0.0657791
statesmen	0.0657463
album	0.0656759
feminist	0.0656711
repertory	0.0652201
lover	0.0649282
character	0.064891
genius	0.064832
rapper	0.0647927
activist	0.0647907
physician	0.0646713
virtuoso	0.0646174
legend	0.0645038
revolutionary	0.0644267
genre	0.0643956
founder	0.0642997
greats	0.064144
psychologist	0.0639606
sailor	0.0638274
luminary	0.0635773
"disc jockey"	0.0635112
icon	0.0634729
tenor	0.0633836
"folk singer"	0.063283
craftsmen	0.0632002
listener	0.0628946
satirist	0.0628075
fan	0.0627632
"theater company"	0.0626655
masterpiece	0.0624948
Reader	0.0624243
boxer	0.0622398
collaborator	0.0622241
editor	0.0620859
publisher	0.0620677
practitioner	0.0619715
Shostakovich	0.06195
Recording	0.0618609
father	0.0618421
executive	0.0617852
novel	0.0616788
ballet	0.0616753
naturalist	0.0616335
"ballet dancer"	0.0616061
"film producer"	0.0614533
professor	0.0613721
monk	0.0613508
Mahler	0.0613459
missionary	0.0613076
girl	0.0612361
Schubert	0.0612099
"rock band"	0.0611686
kid	0.0611612
winemaker	0.061157
"young woman"	0.0610836
teen-ager	0.0609196
climber	0.0608492
chemist	0.060773
American	0.0607482
priest	0.0605994
culture	0.0602195
biographer	0.0601903
"young man"	0.0601891
expert	0.0601264
Tchaikovsky	0.0600476
parent	0.0600432
rabbi	0.0599926
mother	0.0599813
swimmer	0.0599136
film	0.0598222
literature	0.0596603
linguist	0.0596464
orator	0.0594285
visionary	0.0594266
folk	0.0592784
Gershwin	0.0592503
ballplayer	0.0592331
"music critic"	0.0591805
lawyer	0.0591798
Explorer	0.0590502
Jazz	0.0589643
technician	0.0588417
restaurateur	0.0588308
"character actor"	0.0588273
philanthropist	0.0588012
sociologist	0.0587353
friend	0.0585792
"George Gershwin"	0.0584093
))
(composing (desc 1647.46) (sims
"public speaking"	0.0632518
up-and-down	0.0609143
conducting	0.0596356
bookkeeping	0.059539
modeling	0.0593115
punting	0.0587738
Tiki	0.0567708
"waiting game"	0.0567068
"sad sack"	0.0549031
pulsing	0.0542647
preaching	0.0508427
carpentry	0.0507286
piloting	0.0502263
Indexing	0.0500352
golfing	0.0488901
"professional baseball"	0.0485863
klezmer	0.0484998
schoolwork	0.0480715
guesswork	0.048047
triage	0.0477203
clowning	0.0473959
"accounting system"	0.0473188
woodworking	0.0473067
deadend	0.0472644
"Fifth Symphony"	0.0466014
Tex-Mex	0.0460724
"manual labor"	0.0453655
"small farmer"	0.0453575
multitasking	0.0449901
juggling	0.0449672
fulltime	0.0443161
decompression	0.0442005
"computer programming"	0.0440758
packing	0.04331
fact-finding	0.0428678
post-@@@@	0.0426626
"Federation Cup"	0.042581
harpsichord	0.0423838
cello	0.0421913
"problem solving"	0.0420109
"detective work"	0.0420052
"morse code"	0.041919
Sleepwalking	0.0418668
"big band"	0.0416172
telemarketing	0.0415244
compounding	0.0414395
"professional golf"	0.0413228
"night time"	0.0408483
blossoming	0.0408137
MGH	0.0406973
"spare time"	0.0401853
))
(Composite (desc 14286.9) (sims
Nasdaq	0.246897
industrials	0.22386
Dow	0.205406
"S&AMP;P"	0.205398
index	0.203611
"Nikkei Stock Average"	0.155925
"NASDAQ Composite Index"	0.152464
"Straits Times Index"	0.150238
"Dow Jones Industrial Average"	0.147513
Nikkei	0.147075
CAC-@@	0.130548
"CAC @@"	0.127044
"FTSE @@@"	0.126137
"Tokyo Stock Price Index"	0.124525
Bovespa	0.121262
"Second Board Index"	0.119706
"Hang Seng Index"	0.119378
STI	0.118189
"Standard &AMP; Poor"	0.116585
"Xetra Dax"	0.111476
"Straits Times Industrials Index"	0.109911
"Composite Index"	0.106594
"Hang Seng"	0.105799
"Weighted Price Index"	0.105551
"bond price"	0.10468
FT-SE	0.103868
DAX	0.103528
"Philippine Stock Exchange Index"	0.0992682
Sensex	0.0974933
"futures price"	0.0966458
sub-index	0.0966358
"Hang Seng China-Affiliated Corporations Index"	0.0940867
CAC	0.0936936
"market average"	0.0921315
"Dow Jones"	0.0905855
"blue-chip stock"	0.0902938
"Hang Seng China Enterprises Index"	0.0894511
Russell	0.0894126
"blue chip"	0.0880896
"Industrial Index"	0.0872835
"National Australia Bank"	0.0845072
"Commonwealth Bank of Australia"	0.0836183
"Emas Index"	0.0830739
"News Corp"	0.0825581
"Rio Tinto"	0.0815569
"truck sale"	0.0781045
Stocks	0.0773876
BHP	0.0769847
sharemarket	0.0761501
Westpac	0.0756697
Seng	0.0750971
"retail price index"	0.0746138
"Stock Exchange of Thailand"	0.0726991
SPH	0.0726299
PacCent	0.0721594
"Fletcher Energy"	0.0717115
ANZ	0.0715687
"SPH @@@"	0.0711928
HSI	0.0707001
"Philippine peso"	0.0704915
FTSE	0.0703006
gauge	0.0697274
"Commonwealth Bank"	0.0696457
"Nasdaq Stock Market"	0.0694857
indicator	0.0689878
Bourse	0.0683605
"Shanghai Composite Index"	0.0678895
"vehicle sale"	0.0663709
"technology issue"	0.0657239
"Brierley Investment"	0.064888
blue-chips	0.0646096
"Creative @@"	0.0643731
"home sale"	0.0633402
"GE Life"	0.0627135
"Wireless Optus"	0.0610668
benchmark	0.0609348
IPC	0.0602142
BSE-@@@	0.059906
"American Stock Exchange"	0.0597565
rupiah	0.0597438
"share price"	0.0594659
"Lion Nathan"	0.0588893
"Australian dollar"	0.0586928
"mortgage rate"	0.0583787
barometer	0.0583018
"retail sale"	0.0577817
"stock market"	0.0575052
"Carter Holt Harvey"	0.0566138
"Bovespa Index"	0.0562765
"consumer price index"	0.0561876
"factory order"	0.0553543
soybean	0.0552623
"occupancy rate"	0.0551802
"ordinary shares"	0.0548255
sub-indices	0.0546597
indices	0.0545373
"equity market"	0.0540682
"preferred shares"	0.0539586
AMP	0.0536488
"Fletcher Building"	0.0533476
WMC	0.053138
Telecom	0.0530714
peso	0.0525843
STOXX	0.0523151
Telstra	0.0522527
"price index"	0.052156
CPI	0.0521476
"pork belly"	0.052014
"unemployment rate"	0.0511162
capitalization	0.0500567
crude	0.0500354
"rate of inflation"	0.049714
"Singapore dollar"	0.0493508
"Sensitive Index"	0.0492928
edging	0.0491325
scrip	0.0491229
dribbler	0.0485935
"futures contract"	0.048312
Frankfurt	0.0482101
db	0.0477451
"equity fund"	0.0477363
"pretax profit"	0.0477001
"oil price"	0.0475899
"inflation rate"	0.0475427
palladium	0.0475334
"Fletcher Paper"	0.0474146
"heating oil"	0.0473749
aluminum	0.047087
"bond market"	0.0470062
"B share"	0.0469537
"producer price"	0.0469124
"gas price"	0.0467161
"Philippine Stock Exchange"	0.0465429
"Kenyan shilling"	0.046377
"poverty rate"	0.0462963
UOB	0.046232
"JDS Uniphase"	0.0459959
caseloads	0.0459666
"Air New Zealand"	0.0451992
"Treasury bond"	0.0451479
"Fletcher Forest"	0.0450905
"Karachi Stock Exchange"	0.0448183
OCBC	0.0444836
decliner	0.0444789
sales	0.044267
"retail price"	0.0441466
resin	0.0441393
productivity	0.0437185
"small cap"	0.0436569
viewership	0.0433909
"Kuwait Stock Exchange"	0.0429285
CRA	0.0428762
"market share"	0.0427934
Moody's	0.0422724
"Hutchison Whampoa"	0.0422618
pivotals	0.0421735
SIA	0.0420895
bullion	0.041812
"Canadian dollar"	0.0417864
"net profit"	0.0416031
NYSE	0.0414962
"Producer Price Index"	0.0413829
"crude oil"	0.0413143
"City Development"	0.0412639
portfolio	0.0412635
"F&AMP;N"	0.0412238
enrollment	0.0412008
ratio	0.0411018
"net income"	0.0410805
"New Zealand dollar"	0.0406908
cellulose	0.0406306
"trade surplus"	0.0406272
rand	0.0406251
fineness	0.0406139
Orders	0.0403712
ridership	0.0403454
sell-off	0.0403227
"market value"	0.0401513
))
("Composite Index" (desc 5591.95) (sims
"Straits Times Index"	0.419539
"Industrial Index"	0.330577
"Second Board Index"	0.316689
"Weighted Price Index"	0.311171
"Tokyo Stock Price Index"	0.310062
"Emas Index"	0.282452
"Hang Seng Index"	0.27022
"Nikkei Stock Average"	0.256876
"Straits Times Industrials Index"	0.248227
"Hang Seng China Enterprises Index"	0.235667
"Xetra Dax"	0.222193
STOXX	0.201706
DAX	0.200601
"CAC @@"	0.198748
Nikkei	0.197957
"Shanghai Composite Index"	0.195872
STI	0.194345
"Hang Seng China-Affiliated Corporations Index"	0.191859
CAC-@@	0.182581
"FTSE @@@"	0.180454
"Philippine Stock Exchange Index"	0.178654
industrials	0.166891
index	0.165361
"Bovespa Index"	0.159903
"Hang Seng"	0.158378
Sensex	0.158142
IPC	0.147088
"Commonwealth Bank"	0.144696
"Wireless Optus"	0.143896
"Commonwealth Bank of Australia"	0.139182
sub-index	0.138204
Westpac	0.135865
"Stock Exchange of Thailand"	0.132177
"Dow Jones Industrial Average"	0.130443
"Rio Tinto"	0.124995
Bovespa	0.123491
BHP	0.121942
ANZ	0.121801
"National Australia Bank"	0.115824
FTSE	0.113456
"market average"	0.112215
Composite	0.106594
"share price"	0.10653
"preferred shares"	0.105055
SPH	0.104634
"GE Life"	0.104011
"Fletcher Forest"	0.103897
sharemarket	0.103812
WMC	0.103614
"News Corp"	0.103226
"price index"	0.101794
NAB	0.101576
"Philippine peso"	0.0995182
PSE	0.0988361
CAC	0.0986005
"futures price"	0.0980189
"Brierley Investment"	0.0977946
"B share"	0.0977719
"blue chip"	0.0976144
"Fletcher Building"	0.0973614
"Carter Holt Harvey"	0.0969093
HSI	0.0965818
"Lion Nathan"	0.0961796
"Fletcher Energy"	0.0957782
"bond price"	0.0955936
Dow	0.0949502
"NASDAQ Composite Index"	0.0946203
"Creative @@"	0.0922922
"blue-chip stock"	0.0904086
"SPH @@@"	0.0898338
CRA	0.0890996
"Fletcher Paper"	0.0878845
"Sensitive Index"	0.0878407
Stocks	0.0863743
"City Development"	0.0861093
"retail price index"	0.0854549
"Producer Price Index"	0.0848552
indices	0.0847402
Nasdaq	0.0829906
"factory order"	0.0823862
PacCent	0.0811823
FT-SE	0.0808874
"Air New Zealand"	0.0805409
"pork belly"	0.0803415
barometer	0.0795559
BSE-@@@	0.079388
"ordinary shares"	0.0775543
Orders	0.0772541
Telstra	0.0770719
scrip	0.0769759
Ci	0.0763508
"Brierley Investments"	0.0763347
"Australian dollar"	0.0758417
"Philippine Stock Exchange"	0.0757898
"Kuwait Stock Exchange"	0.0754674
"Kuala Lumpur Stock Exchange"	0.0753813
bullion	0.0749903
"Auckland Airport"	0.0744708
"consumer price index"	0.0742768
"producer price"	0.0734192
gauge	0.0733536
"Dow Jones"	0.0731914
"Shanghai Stock Exchange"	0.0728243
"retail sale"	0.0726133
"Contact Energy"	0.0720687
"Standard &AMP; Poor"	0.0720567
fineness	0.0716354
indicator	0.0711749
A-shares	0.0709487
warrant@@	0.0699543
"Hutchison Whampoa"	0.0697971
CPI	0.0690839
"S&AMP;P"	0.0689129
"vehicle sale"	0.0688523
"Shenzhen Stock Exchange"	0.0673012
Woodside	0.0667807
palladium	0.0659958
"Treasury bond"	0.0657724
SIA	0.0655424
"home sale"	0.0652972
benchmark	0.0649356
"Kenyan shilling"	0.0646818
"inflation rate"	0.0644106
DSE	0.0637822
"funds rate"	0.0634528
"rate of inflation"	0.0634064
"Singapore Press Holdings"	0.0629764
"Fletcher Forests"	0.0625646
B-shares	0.0624976
"Sky TV"	0.0622955
AMP	0.0622301
sub-indices	0.0621388
Bourse	0.0613808
rupiah	0.0605516
rand	0.0602539
OCBC	0.0598306
"bank rate"	0.0597612
"Hewlett Packard"	0.0594435
"Karachi Stock Exchange"	0.0586239
Seizinger	0.058351
"retail price"	0.0582761
capitalisation	0.0570382
"unemployment rate"	0.0564914
SSE	0.0558008
"HSBC Holdings"	0.0557052
"South Korean won"	0.0556881
"pretax profit"	0.0554818
crude	0.0554356
physicals	0.0553603
"net income"	0.055337
capitalization	0.0550279
"vacancy rate"	0.0546377
"Hang Seng Bank"	0.0543451
"gas price"	0.054235
"market correction"	0.0536863
"Indian rupee"	0.0525428
"Huang Ju"	0.052291
"Canadian dollar"	0.0522395
db	0.052104
"British pound"	0.0520469
"truck sale"	0.0519207
"Singapore dollar"	0.0518999
"net profit"	0.0518139
w@@	0.051752
"F&AMP;N"	0.0514267
"occupancy rate"	0.0510811
"New Zealand dollar"	0.0510211
Telecom	0.0508553
"trade surplus"	0.0505818
soybean	0.0504613
"labor cost"	0.0504292
"oil price"	0.0500184
"Mexican peso"	0.0495707
"water level"	0.0495115
rupee	0.049436
UOB	0.0492688
weightings	0.0491387
"earning per share"	0.049127
"mortgage rate"	0.0490338
"Applied Materials"	0.0483863
"Tokyo Stock Exchange"	0.0483266
"Glaxo Wellcome"	0.047672
Grosjean	0.0475347
"interest income"	0.0471185
repurchase	0.0470875
peso	0.046991
won	0.0469307
second-quarter	0.04686
"Barisan Nasional"	0.0468532
Seng	0.0466662
"crime rate"	0.0465642
"Zimbabwean dollar"	0.0464746
ridership	0.0464144
"crude oil"	0.0461938
blue-chips	0.0459637
"heating oil"	0.0456768
"trade deficit"	0.0452841
"International Symposium"	0.0451876
caseloads	0.0451811
"key rate"	0.0450964
))
(composition (desc 45382) (sims
makeup	0.125572
structure	0.110863
design	0.0974838
music	0.0888391
style	0.0884815
formation	0.0856876
pattern	0.0828144
arrangement	0.0826442
concerto	0.0807689
quality	0.0805506
size	0.0801254
Song	0.0784054
shape	0.0778682
melody	0.0774878
technique	0.0754464
Chemistry	0.0752084
content	0.074794
geography	0.0745143
characteristic	0.0743446
texture	0.0738082
nature	0.0734146
lyric	0.0731767
architecture	0.0730905
painting	0.0722754
timing	0.0722379
scope	0.0718146
color	0.0707073
choreography	0.0704223
philosophy	0.0700615
origin	0.0693047
language	0.0690472
method	0.068981
orchestration	0.0688571
demographics	0.0688126
curriculum	0.0687135
rhythm	0.0686418
performance	0.068547
wording	0.0683906
diversity	0.0680148
procedure	0.0678356
concept	0.0676748
writing	0.0675401
density	0.067471
distribution	0.0673806
direction	0.0671038
function	0.0669779
piece	0.0669707
configuration	0.0669439
dance	0.0668588
detail	0.0665355
layout	0.0664661
aspect	0.0663701
sonata	0.0663213
sound	0.0659913
sequence	0.0654713
Recording	0.0653098
dynamic	0.0651225
strategy	0.0649577
mechanism	0.0649523
image	0.06466
selection	0.0645326
art	0.0641453
modality	0.0640245
behavior	0.0639914
geometry	0.0637
tune	0.0635517
setting	0.0634739
status	0.0633782
literature	0.0633184
orientation	0.0630433
mix	0.0629304
symphony	0.0626735
creation	0.0625907
economics	0.0622088
format	0.0621982
mathematics	0.0621655
repertory	0.0621189
imagery	0.0619341
history	0.0616972
theme	0.0616461
ballet	0.0613703
scale	0.0613032
identity	0.0611259
interpretation	0.0610372
landscape	0.0610136
policy	0.0609503
psychology	0.0605858
character	0.0605148
type	0.0604792
tone	0.0604387
role	0.0603729
repertoire	0.0603216
text	0.0601619
drawing	0.0601419
personality	0.059974
opera	0.0599176
contour	0.0596934
definition	0.0594767
timetable	0.0594513
measurement	0.0592721
complexity	0.0588412
evolution	0.0587632
workings	0.0586975
photography	0.0585499
improvisation	0.0585163
location	0.0584158
poetry	0.0582771
theory	0.058076
typeface	0.0579974
"subject matter"	0.0577901
science	0.0575915
movement	0.0573305
violin	0.0569009
vision	0.0567219
amount	0.0566716
sensibility	0.056666
parameter	0.0564953
variety	0.0564733
drama	0.0564567
skill	0.0564234
script	0.0562493
dimension	0.0561984
cello	0.0561535
condition	0.0561485
ability	0.0561443
standard	0.0561108
harmony	0.056009
perception	0.0556905
habit	0.0556028
setup	0.0555952
biology	0.055457
subject	0.055404
criteria	0.055237
climate	0.0552038
methodology	0.0551469
whereabouts	0.0551375
ballad	0.055061
taste	0.0550397
value	0.0549351
portrait	0.0549266
variation	0.0549043
physics	0.0548444
cinematography	0.0548305
poem	0.0548083
strength	0.0548074
outcome	0.0547917
agenda	0.054744
attitude	0.0547256
pricing	0.0546622
fate	0.0546128
guideline	0.0545514
membership	0.0545416
masterpiece	0.0545282
management	0.0544959
allocation	0.0544834
preference	0.0544654
task	0.0544072
interaction	0.0542666
element	0.0541479
development	0.0541418
mood	0.0540628
environment	0.0539795
context	0.0539352
picture	0.0538067
meaning	0.0537918
culture	0.0536946
finding	0.0536617
engineering	0.0535809
collection	0.0535112
sculpture	0.0534938
ethic	0.0534611
intensity	0.053441
geology	0.0533855
situation	0.0533557
material	0.0533356
dynamics	0.0532762
Anatomy	0.0532415
extent	0.0531309
album	0.0530512
beauty	0.0529755
theology	0.0529751
objective	0.0528613
analysis	0.0528589
velocity	0.0527087
relationship	0.0526955
tempo	0.052572
profile	0.0525632
costume	0.0523058
effectiveness	0.0522826
framework	0.052225
requirement	0.0521553
background	0.0519471
classification	0.0519296
consistency	0.0519217
thickness	0.0517433
flavor	0.0517197
mandate	0.0517062
presentation	0.0516325
Screenplay	0.0516301
balance	0.0515666
))
(compost (desc 4824.57) (sims
mulch	0.159726
topsoil	0.123726
manure	0.111545
slag	0.0962956
fertilizer	0.079797
gravel	0.0787
silt	0.0727669
sawdust	0.0725346
peat	0.0707138
slush	0.0702533
sludge	0.0699214
"ammonium nitrate"	0.0697295
charcoal	0.0693246
muck	0.0682208
"human waste"	0.0663497
moisturizer	0.0651866
"dog food"	0.0646235
vermiculite	0.0618656
"chocolate mousse"	0.0615199
rubbish	0.0615046
lard	0.0606127
POTASH	0.0603483
dirt	0.0591258
Garbage	0.0581666
"ground water"	0.0574645
insecticide	0.0570469
polenta	0.0567726
feces	0.0566821
nitrogen	0.0564779
clay	0.0564577
dung	0.0562236
mud	0.0558717
sediment	0.055654
asphalt	0.0555189
crawfish	0.0545766
"fresh food"	0.0544639
seaweed	0.053888
bleach	0.0536028
matzoh	0.0533951
urea	0.0528867
pesticide	0.0522309
husk	0.0522057
excrement	0.0521666
powder	0.0518894
houseplant	0.0518055
nutrient	0.051646
hay	0.0512559
lumber	0.0510388
pruning	0.0510249
phosphate	0.0508246
herbicide	0.0505445
vegetation	0.0504336
laundry	0.0496743
phosphorus	0.0494991
"rocket fuel"	0.0488506
acid	0.0488176
"ground cover"	0.047702
lettuce	0.0471539
cardboard	0.0469713
Sewage	0.0469493
Firewood	0.0469216
Foods	0.0462551
legroom	0.0459625
biogas	0.0457924
shale	0.0457357
moisture	0.0457295
"nitrous oxide"	0.0452262
matzo	0.0448784
timber	0.0448783
"motor oil"	0.0444811
lubricant	0.0444401
herb	0.0442266
silicon	0.0440848
printout	0.0439766
oat	0.0438351
sunscreen	0.043623
vitamin	0.043519
foam	0.0434208
mousse	0.04338
dough	0.0433302
crust	0.0433054
wafer	0.0432445
gumbo	0.0432253
pulp	0.0432208
pigment	0.0432072
incineration	0.0431615
irrigation	0.0430972
ingot	0.0430642
crumb	0.0430565
gunpowder	0.0429449
clipping	0.0428942
"jelly bean"	0.0427247
acidity	0.0424891
Cabernet	0.0422931
sheeting	0.0421679
fodder	0.0421548
ammonia	0.0420119
adrenalin	0.0417926
spaetzle	0.0417122
groundwater	0.0415826
"solar power"	0.0415502
"breathing room"	0.0415073
"detective work"	0.0414473
grease	0.0413479
"cane sugar"	0.0412473
emulsion	0.04095
REPELLENT	0.0407477
veggie	0.0405999
watering	0.0405888
telomerase	0.0405451
Straw	0.0404461
grub	0.0403935
"building material"	0.0402878
marshmallow	0.0402058
oreo	0.0400498
))
(composure (desc 8347.06) (sims
poise	0.221711
stamina	0.138811
self-confidence	0.111289
toughness	0.110982
self-control	0.106819
courage	0.106797
calmness	0.106233
professionalism	0.105459
patience	0.10402
athleticism	0.0991632
humility	0.0987548
quickness	0.0982579
agility	0.0943515
resiliency	0.0942094
consistency	0.093452
dexterity	0.0934124
aggressiveness	0.0926714
spunk	0.0912421
cohesiveness	0.0906454
aplomb	0.0904762
"good humor"	0.0896576
self-esteem	0.0895225
teamwork	0.0893404
equilibrium	0.089178
self-respect	0.0880571
explosiveness	0.0878947
dignity	0.0869846
graciousness	0.0865554
decorum	0.08581
nimbleness	0.0855111
cohesion	0.0854689
charisma	0.0851653
flair	0.0846955
precision	0.0844717
confidence	0.0840594
intensity	0.0840506
versatility	0.0840029
skill	0.0836599
vigor	0.0822469
"sense of purpose"	0.08163
grace	0.08113
gumption	0.0811175
demeanor	0.0810152
vitality	0.0803532
wit	0.0798352
determination	0.079674
subtlety	0.078033
self-assurance	0.0780223
maturity	0.0771366
firmness	0.0768161
fortitude	0.0765173
intelligence	0.0764338
tenacity	0.0762136
finesse	0.0761722
spontaneity	0.0758544
cockiness	0.0756923
boldness	0.0749825
endurance	0.0736699
serenity	0.073648
tact	0.0731824
resilience	0.0727003
"three match points"	0.072598
depth	0.0722949
resourcefulness	0.0716315
sophistication	0.0715343
momentum	0.0714941
"two match points"	0.0713461
eloquence	0.0713419
"sense of balance"	0.0712852
flexibility	0.0705581
perseverance	0.0702657
mettle	0.0701507
"public trust"	0.0701059
modesty	0.0697868
compassion	0.0696753
enthusiasm	0.0694591
sanity	0.0691571
savvy	0.0689618
concentration	0.0688902
stoicism	0.0687392
intellect	0.0686289
elegance	0.0683526
talent	0.0681805
distinctiveness	0.0678941
"sense of humor"	0.0678726
velocity	0.067553
credibility	0.0669922
discipline	0.0669136
willpower	0.0666566
mobility	0.0664769
footwork	0.0661633
grit	0.0661556
"breathing room"	0.0657242
originality	0.0654943
wisdom	0.0653868
bravado	0.0653717
swagger	0.0652899
foresight	0.0651019
artistry	0.0649228
clarity	0.0647843
restraint	0.0644609
whimsy	0.0644174
"good looks"	0.0643935
candor	0.0641257
firepower	0.0641008
self-worth	0.0640751
humor	0.0635561
charm	0.0633047
moxie	0.0632586
emotion	0.062977
sincerity	0.0627452
dynamism	0.0627193
durability	0.0626451
sharpness	0.0624514
luster	0.0624144
dedication	0.0619938
freshness	0.0619699
sportsmanship	0.0616359
empathy	0.0614389
diligence	0.0613525
competence	0.0612678
fluency	0.0610453
adaptability	0.0610026
gentleness	0.0608889
"staying power"	0.060578
Luck	0.0602932
clout	0.060026
pizazz	0.0597844
insouciance	0.0597195
"break of serve"	0.0596977
ballgames	0.0596224
faceoffs	0.0596117
"natural ability"	0.0593506
leverage	0.0590688
persistence	0.0590028
"set point"	0.0588135
temperament	0.0585978
Creativity	0.058583
naivete	0.0580251
playmakers	0.0579475
steadiness	0.0579462
temper	0.0578787
ingenuity	0.057538
objectivity	0.0571971
passion	0.056982
individuality	0.0568493
instinct	0.0565587
continuity	0.0564638
integrity	0.0563958
oomph	0.056252
warmth	0.0559449
traction	0.0559049
bravery	0.0558312
"good will"	0.055812
honesty	0.0557568
"hard work"	0.0557205
uniformity	0.0556386
motivation	0.0555728
competitiveness	0.0554704
ferocity	0.0554072
immediacy	0.055333
cachet	0.0553233
equanimity	0.0553189
horsepower	0.0553088
efficiency	0.0552973
buoyancy	0.0552208
accuracy	0.0550609
cleverness	0.0547489
nerve	0.0547246
Innocence	0.0546806
breadth	0.0545546
seniority	0.0545491
elasticity	0.0541069
eyesight	0.0539771
esteem	0.0539715
feistiness	0.0539389
Panache	0.0538306
transparency	0.0537713
crispness	0.0536012
"raw talent"	0.0535959
statesmanship	0.0535052
prowess	0.0534969
self-awareness	0.0534462
"mental ability"	0.0533825
sensitivity	0.0533728
prestige	0.0533452
loyalty	0.053184
arrogance	0.0526512
pragmatism	0.052362
coherence	0.0523502
verve	0.0523327
rhythm	0.0522921
curiosity	0.0521485
purity	0.052112
inventiveness	0.0519871
"common sense"	0.0519159
sobriety	0.0518923
reflex	0.0518701
completeness	0.0516422
Chemistry	0.0515535
))
(compote (desc 3463.86) (sims
chutney	0.163882
shortcake	0.141262
COBBLER	0.13239
TART	0.131545
puree	0.127204
Souffle	0.104
sauce	0.102026
glaze	0.0999562
sherbet	0.0975843
sorbet	0.093393
vinaigrette	0.0932822
jelly	0.0922909
pear	0.0894179
smoothie	0.0872732
liqueur	0.0865207
syrup	0.0861276
salsa	0.0848614
"barbecue sauce"	0.0846578
preserves	0.0777884
pie	0.0770708
gelatin	0.0768564
meringue	0.0734366
soup	0.072427
confit	0.071813
Endive	0.071086
cheesecake	0.0708172
"one pound"	0.0704548
Pudding	0.0695843
terrine	0.0695349
risotto	0.0682173
raspberry	0.067897
salad	0.0676077
peach	0.0674038
muffin	0.0666604
broth	0.0666211
frosting	0.0659848
juice	0.0655857
polenta	0.0651341
scone	0.063654
lemonade	0.0633213
pancake	0.0631985
Fondue	0.0627906
ragout	0.0624001
marmalade	0.0623242
"salad dressing"	0.0621362
dressing	0.0619989
stew	0.0617215
"whipped cream"	0.060839
torte	0.0606831
crust	0.0602323
yogurt	0.0601239
filling	0.0593283
"cream puff"	0.0587306
"ice cream"	0.0587256
"iced tea"	0.0584619
Jell-O	0.0571205
Casserole	0.056793
brandy	0.0559612
nectar	0.0549548
plum	0.0538502
tapenade	0.0534948
"tomato sauce"	0.0533288
icing	0.053131
curd	0.0531304
blackberry	0.0529957
"chicken salad"	0.0529242
tangerine	0.052462
fig	0.052073
quiche	0.0514565
mascarpone	0.05131
custard	0.0508721
omelet	0.0500908
gravy	0.0497044
sundae	0.049338
cube	0.0491917
marinade	0.0486662
vinegar	0.0485882
ale	0.0481963
Topping	0.0479674
POTATOES	0.0479544
latke	0.0478845
mousse	0.0477116
aroma	0.0475386
oatmeal	0.0469991
truffle	0.0469733
eggplant	0.0466858
mayonnaise	0.0466147
pineapple	0.046503
condiment	0.0460391
Cherry	0.0459216
chard	0.0458587
trifle	0.0449851
kebab	0.0448731
apricot	0.0446446
"dried fruit"	0.0445953
crepe	0.0445949
melon	0.0445081
pickle	0.044321
"layer cake"	0.0439979
artichoke	0.0438904
beaker	0.0438169
confection	0.0435479
"potato salad"	0.043497
blueberry	0.0432392
pilaf	0.0432339
platter	0.0431519
noodle	0.0430381
brie	0.0428706
pulp	0.0428552
stuffing	0.0428433
Margarita	0.0426205
TARTARE	0.0422471
asparagus	0.0421851
mustard	0.0421661
pastry	0.0420862
tortilla	0.0417625
"gefilte fish"	0.041646
"vegetable soup"	0.0416456
bulgur	0.0414697
fraiche	0.0406684
pesto	0.0403435
mussel	0.0401435
biscuit	0.0400652
chowder	0.0400319
))
(compound (desc 84828) (sims
residence	0.140573
building	0.134216
complex	0.129824
embassy	0.127368
"Mount Carmel"	0.117818
village	0.115909
mosque	0.112061
house	0.111621
palace	0.108414
"U.S. Embassy"	0.10598
chemical	0.105956
barrack	0.105505
headquarter	0.105156
home	0.100025
hotel	0.0970364
mansion	0.0953736
apartment	0.0948223
cemetery	0.0938631
camp	0.0937925
substance	0.0902708
church	0.0901516
office	0.089994
town	0.0888321
neighborhood	0.0882166
"police station"	0.0877127
"apartment building"	0.0873787
area	0.0873385
site	0.0873264
park	0.0859977
dormitory	0.0839869
facility	0.0831136
Monastery	0.0830348
ranch	0.0825694
"parking lot"	0.0815156
protein	0.0809019
property	0.0803452
premise	0.0802989
enclave	0.0800787
airport	0.0794704
Warehouse	0.0793987
estate	0.0788078
plant	0.0785076
base	0.0779583
prison	0.0775471
center	0.0774129
factory	0.0773513
cabin	0.0772738
temple	0.0772724
courtyard	0.076984
hospital	0.0768059
gate	0.0760295
square	0.0758992
outpost	0.0757157
stadium	0.0754765
farm	0.0747281
depot	0.0747139
campus	0.0741282
school	0.0734021
Villa	0.0733016
hut	0.0732549
sanctuary	0.0730209
hall	0.0723837
courthouse	0.0723489
bunker	0.0720575
checkpoint	0.0719032
"office building"	0.0717396
room	0.0716766
molecule	0.071169
hideout	0.0710876
chapel	0.0710596
cave	0.070834
shrine	0.070544
Capitol	0.0703628
pesticide	0.0700722
hostel	0.0700639
city	0.070024
shelter	0.069939
garage	0.0697921
synagogue	0.0685937
barn	0.0683401
tent	0.0682682
Castle	0.0680713
tomb	0.0677166
drug	0.0674389
cottage	0.0671694
shop	0.066737
farmhouse	0.0662897
ruin	0.0662514
street	0.0659056
shack	0.0658581
structure	0.0657063
jail	0.0649779
cell	0.0649483
hormone	0.0644549
downtown	0.0643727
Grozny	0.0642212
consulate	0.0637722
Tower	0.0637719
Grave	0.0637328
district	0.0636324
capital	0.0635987
location	0.0630734
enzyme	0.063015
airfield	0.0628462
garden	0.0627979
dwelling	0.0626493
"city hall"	0.0625476
entrance	0.0623614
clinic	0.06219
resort	0.0621092
hangar	0.0620585
toxin	0.0620137
material	0.0619187
station	0.0617362
"shopping center"	0.0617239
car	0.0616869
"army base"	0.061608
zone	0.0610957
"Columbine High School"	0.0610541
"Old City"	0.0608774
plaza	0.0606524
"military installation"	0.0605414
"air base"	0.0603717
suburb	0.0603076
Cathedral	0.0602903
wall	0.0600681
trailer	0.0600482
island	0.0600355
library	0.0599648
land	0.0599375
"mobile home"	0.0599239
installation	0.0597973
ingredient	0.059067
tunnel	0.0589765
encampment	0.0589359
restaurant	0.0587924
block	0.0586487
"polling station"	0.0582967
antibody	0.0582512
terminal	0.0582468
field	0.0582294
yard	0.0581544
"Branch Davidians"	0.0580352
vehicle	0.0578662
Kabul	0.0575924
"railway station"	0.057584
"White House"	0.0574755
basement	0.0574651
valley	0.0572643
store	0.0572305
tank	0.0571599
mall	0.0571192
mine	0.057098
community	0.0570756
metal	0.0569728
museum	0.0569561
lake	0.0568823
bedroom	0.0565852
stronghold	0.0565549
ground	0.0564791
subdivision	0.0564584
refinery	0.0564119
forest	0.0563569
region	0.0560832
chamber	0.0558056
territory	0.0557253
mineral	0.0555876
scene	0.0554974
"amino acid"	0.0553416
Gene	0.055177
"shopping mall"	0.0551126
contaminant	0.0550172
port	0.0549975
orphanage	0.0549828
mountain	0.0547792
residue	0.0547002
retreat	0.0546903
antibiotic	0.0544377
plantation	0.0543881
acid	0.0542043
"gas station"	0.0540559
gas	0.053953
nutrient	0.0539479
campground	0.0538486
"military headquarters"	0.0536408
insecticide	0.0536113
cafe	0.0534868
bungalow	0.0533998
pigment	0.0533468
pollutant	0.0531535
classroom	0.0531163
lab	0.0530978
inn	0.0529594
Hamlet	0.0529458
"power station"	0.0529259
arena	0.0528324
"post office"	0.0527521
pit	0.0527311
van	0.052706
slum	0.052668
))
(compounding (desc 1382.91) (sims
mounting	0.0661355
Venting	0.0655316
piloting	0.0638912
"public speaking"	0.0637947
"bricks and mortar"	0.0622476
CVS	0.060063
leveling	0.0594027
Qigong	0.0592551
radiotherapy	0.0582718
"moral hazard"	0.0580579
"take-home pay"	0.055858
ecotourism	0.0550486
housekeeping	0.05402
triangulation	0.0539523
stagecraft	0.0539511
Kroger	0.0530964
simmering	0.0529655
backroom	0.0526413
Clinton-Lewinsky	0.0525
nuts-and-bolts	0.0523645
"eminent domain"	0.0523416
incumbency	0.0522497
Mohawk	0.0522492
socialization	0.051682
kissing	0.0515825
Batouty	0.051564
hands-on	0.0515024
telemedicine	0.0497331
risking	0.0495467
Boomerang	0.049323
Dana-Farber	0.0488168
improv	0.0480935
revaluation	0.0478521
belt-tightening	0.0477746
NHS	0.0477032
"data entry"	0.0474483
whiplash	0.0473155
fieldwork	0.0470152
astrology	0.046669
paring	0.0461957
grilling	0.0459625
phonics	0.0457394
"shock therapy"	0.0456877
"power politics"	0.0454192
fermentation	0.0452462
quilting	0.0452192
"tax income"	0.045198
Zyvox	0.0451349
surfacing	0.0448075
teamwork	0.0445423
werewolf	0.0444311
whistleblowers	0.0443759
volunteerism	0.0431943
headcount	0.0427448
arousal	0.0422583
recycling	0.0420878
circumcision	0.0415953
transfusion	0.0415489
"paying back"	0.0414748
composing	0.0414395
polygamy	0.0413343
placebo	0.0412325
transcendence	0.0411894
bookkeeping	0.0411103
"Joe Camel"	0.0411018
dribbling	0.0410368
Warshaw	0.0408916
anti-inflammatory	0.0408466
"field work"	0.0407429
longterm	0.0405749
deterrence	0.0403332
lifesaving	0.040171
maturing	0.0401265
Hirohito	0.0400881
))
(comprehension (desc 5177.15) (sims
proficiency	0.116808
understanding	0.080212
"general knowledge"	0.0744661
grammar	0.0721915
fluency	0.0700186
"reaction time"	0.067229
literacy	0.0665641
mobility	0.0663505
maneuverability	0.0638785
awareness	0.063874
stamina	0.0634308
aptitude	0.0634049
alertness	0.0633755
competence	0.0626937
syntax	0.0620423
inkling	0.0613537
specificity	0.0601631
logic	0.059569
"mutual understanding"	0.0592887
Amity	0.0592135
dexterity	0.0589596
endurance	0.0585528
"sense of smell"	0.0584358
responsiveness	0.0569252
decisiveness	0.0568578
tolerance	0.0565405
"due process"	0.0559833
empathy	0.055927
"problem solving"	0.0558266
self-awareness	0.0546244
interoperability	0.054537
fitness	0.0544736
adaptability	0.0543525
mastery	0.0540662
Creativity	0.0532933
TAAS	0.0532722
competency	0.0526128
inhibition	0.0519919
cohesiveness	0.0516355
durability	0.0514377
sportsmanship	0.0513341
"creature comforts"	0.0512856
self-discipline	0.0511979
self-esteem	0.0508805
punctuation	0.0503435
patience	0.0502452
accountability	0.0501012
transparency	0.0499033
"team spirit"	0.0497118
teamwork	0.0496331
interaction	0.0496162
toxicity	0.0496024
competitiveness	0.0492266
commonality	0.0490243
acknowledgement	0.0486747
fulfilment	0.0484865
professionalism	0.0483878
agility	0.0482239
vocabulary	0.0478554
polygraph	0.0475516
"staying power"	0.0475391
pronunciation	0.0474962
enjoyment	0.0474599
interactivity	0.0472447
cohesion	0.0471063
hemoglobin	0.0470215
"legal representation"	0.0468144
algebra	0.0468049
categorization	0.0467361
resiliency	0.0467008
semblance	0.046677
"common sense"	0.0465505
immensity	0.0465041
"frame of reference"	0.0464545
"raw talent"	0.0462915
foresight	0.0461307
parsing	0.0458704
resilience	0.0455765
complementarity	0.0452414
misunderstanding	0.045068
eyesight	0.0450487
consciousness	0.0448211
coherence	0.0447442
sincerity	0.0446793
effectiveness	0.0446301
familiarity	0.0446256
visibility	0.0444921
marksmanship	0.0443623
feelings	0.0443545
socialization	0.0441871
continuity	0.0439685
diction	0.0439341
"teaching method"	0.0438979
uniformity	0.0437275
rationality	0.0436984
popularization	0.0436901
reliability	0.0436685
MCAS	0.0436357
differentiation	0.0436077
preparedness	0.0435901
consistency	0.0435096
synopsis	0.0434587
utilization	0.0431614
"internal control"	0.0431584
"computer application"	0.043149
fluidity	0.0431293
reflex	0.0430866
fragmentation	0.0428576
conditioning	0.0428052
spelling	0.0427449
unanimity	0.0425523
acceptability	0.0425454
sensitivity	0.042523
Openness	0.0424813
seriousness	0.0423378
decency	0.0422386
morality	0.0419305
"economies of scale"	0.0419246
"customer service"	0.0417264
apprehension	0.0414678
sophistication	0.0414551
"body language"	0.0413662
editing	0.0413209
retention	0.0412345
toughness	0.0411055
footwork	0.0409632
"military capability"	0.0407277
furtherance	0.0406811
"market penetration"	0.0406786
impairment	0.0406785
accessibility	0.0406602
ambiguity	0.0406284
civics	0.0403887
diversification	0.040252
predictability	0.0402271
rightness	0.0400993
))
("Comprehensive Nuclear Test Ban Treaty" (desc 2055.1) (sims
"Chemical Weapons Convention"	0.278692
"Comprehensive Test Ban Treaty"	0.274993
"Kyoto Protocol"	0.230592
CTBT	0.222627
"START II"	0.195754
VFA	0.177773
"U.N. Convention"	0.156973
"Nuclear Non-Proliferation Treaty"	0.147317
"Free Trade Agreement"	0.146281
"United Nations Convention"	0.138432
"International Covenant"	0.132442
CWC	0.131219
CRC	0.120747
"International Convention"	0.117856
Russian-U.S.	0.110616
"Lusaka Protocol"	0.106116
covenant	0.100406
"Sino-Japanese Joint Statement"	0.0992265
"Lahore Declaration"	0.0984071
"Montreal Protocol"	0.096515
"trade agreement"	0.0956382
NPT	0.0953275
"Lusaka Peace Accord"	0.0902851
"Beijing Declaration"	0.0896794
"Joint Statement"	0.0893144
"Oslo Accords"	0.0880523
"North American Free Trade Agreement"	0.0871909
Helms-Burton	0.082018
"Geneva convention"	0.0813251
"U.N. Security Council Resolution @@@"	0.0799711
"purchase agreement"	0.0791818
"U.N. Resolution @@@"	0.0790735
"Universal Declaration"	0.0784284
"labor agreement"	0.0765882
"permanent normal trade relations"	0.076428
"Sino-Portuguese Joint Declaration"	0.0761703
"Joint Declaration"	0.0716878
"Helms-Burton Act"	0.0716367
"Stability Pact"	0.069928
Shays-Meehan	0.0679758
"Resolution @@@@"	0.0673272
"expansion plan"	0.0661198
"Southern Africa Development Community"	0.0657618
"Sino-British Joint Declaration"	0.0651003
"Proposition @"	0.0634057
"Oslo Accord"	0.0627843
cosmodrome	0.062532
"peace treaty"	0.060859
FTA	0.0597223
"American plan"	0.0589269
"Resolution @@@"	0.0585175
"general agreement"	0.0573061
"European Union's"	0.0571001
"Framework Agreement"	0.0566859
"U.S. Constitution"	0.0561553
"Agenda @@@@"	0.0557699
"ABM Treaty"	0.0555594
Sharia	0.055371
"East African Community"	0.0551064
NAFTA	0.0548068
"Wye River"	0.0537152
"executive program"	0.053358
dictation	0.0529996
"Anti-Ballistic Missile Treaty"	0.0529936
PNTR	0.0527116
armistice	0.0525763
"One-China Principle"	0.052268
"international criminal court"	0.0517967
"United Nations Charter"	0.0517825
memoranda	0.0517595
"Voting Rights Act"	0.0515645
"legal instrument"	0.0509707
Nanking	0.0505903
"legal code"	0.0500486
"Maastricht Treaty"	0.0499892
Relenza	0.0499459
renaming	0.049481
"trade bill"	0.0489613
TMD	0.0487478
Reauthorization	0.0485413
NATO-led	0.0484044
"labor contract"	0.0478024
"General Agreement on Tariffs and Trade"	0.0476195
"merger agreement"	0.0472401
MOU	0.0472323
"Philippine Senate"	0.0472002
"bank withdrawal"	0.0470202
"Kim Jong-pil"	0.0459202
center-right	0.0448007
"Vienna Convention"	0.044634
Foxx	0.044526
Pickens	0.0443831
"START III"	0.0443007
"Sam Houston"	0.0435503
Vedeno	0.0433893
NMD	0.0430145
"Proposition @@@"	0.0429732
avocation	0.0428858
"rating system"	0.0425945
"arms deal"	0.0425717
"compromise plan"	0.0425621
"Everett McIver"	0.0425372
"New Deal"	0.0424613
Yandarbiyev	0.0424512
"memorandum of understanding"	0.0418583
"Sergei Kiriyenko"	0.0416068
"Telecommunications Act"	0.0410714
deportee	0.0410013
FTAA	0.0409892
"wage increase"	0.0409156
unionization	0.0407894
multi	0.0406689
ABM	0.0406556
"employment contract"	0.0405705
eight-point	0.0405491
Makhachkala	0.0405375
"Declaration of Independence"	0.040181
Laudrup	0.0401528
"Mark Stepnoski"	0.0400564
))
("Comprehensive Test Ban Treaty" (desc 10293.4) (sims
"Comprehensive Nuclear Test Ban Treaty"	0.274993
CTBT	0.265859
Treaty	0.154344
"Chemical Weapons Convention"	0.152958
"START II"	0.150715
"Kyoto Protocol"	0.147126
"Nuclear Non-Proliferation Treaty"	0.130148
"trade agreement"	0.112117
"International Covenant"	0.111566
pact	0.10947
accord	0.106966
"Lusaka Protocol"	0.101279
VFA	0.0985278
"Montreal Protocol"	0.0976309
"North American Free Trade Agreement"	0.0898777
"Lusaka Peace Accord"	0.089588
"Geneva convention"	0.0895347
"trade bill"	0.0893584
"U.N. Convention"	0.0892491
CWC	0.0884971
"Joint Statement"	0.0882212
protocol	0.0878812
Non-Proliferation	0.0853416
"Oslo Accords"	0.0832536
"United Nations Convention"	0.0829133
PNTR	0.0817913
covenant	0.0810183
resolution	0.0808178
legislation	0.080112
NPT	0.0798941
"Proposition @@"	0.0765983
"Voting Rights Act"	0.0764947
"permanent normal trade relations"	0.0764343
"Lahore Declaration"	0.0760159
charter	0.0750749
"Proposition @@@"	0.0746803
Declaration	0.0742071
"ABM Treaty"	0.0742046
"peace treaty"	0.0725714
"Free Trade Agreement"	0.0723742
"Sino-Portuguese Joint Declaration"	0.0720587
disarmament	0.0717158
"Oslo Accord"	0.0715197
"Proposition @"	0.0714068
constitution	0.0704002
amendment	0.069915
nonproliferation	0.0698948
ratification	0.0690699
"U.N. Security Council Resolution @@@"	0.0676159
CRC	0.0675015
"arms control"	0.067194
decree	0.0669147
"expansion plan"	0.0669071
"trade relation"	0.0653723
"Clean Air Act"	0.0641291
doctrine	0.0638382
embargo	0.0637984
"purchase agreement"	0.0634542
cease-fire	0.0630047
censure	0.0628003
redeployment	0.0626209
ceasefire	0.0613051
"Beijing Declaration"	0.0611907
Ordinance	0.0607257
"Bill of Rights"	0.0606847
statehood	0.0605521
"U.N. Resolution @@@"	0.0598258
"free trade"	0.0592522
"gun control"	0.0584085
"Helms-Burton Act"	0.0578848
"Sino-Japanese Joint Statement"	0.0578003
armistice	0.057723
"Resolution @@@@"	0.0576417
communique	0.0574277
"labor agreement"	0.057399
"Sino-British Joint Declaration"	0.0567187
"Joint Declaration"	0.056609
"international law"	0.0561768
motion	0.0560617
NAFTA	0.0560502
"labor contract"	0.0560174
reunification	0.0559285
"American plan"	0.0557521
"U.S. Constitution"	0.0550394
memorandum	0.0548907
enlargement	0.0547565
"Anti-Ballistic Missile Treaty"	0.0546255
guideline	0.0537089
"Resolution @@@"	0.0534148
"One-China Principle"	0.0522863
"International Convention"	0.0522028
"legal instrument"	0.0520488
"Community Reinvestment Act"	0.0518016
"Civil Rights Act"	0.0517801
"Universal Declaration"	0.0515947
renewal	0.0515174
"tax bill"	0.0511783
"human right"	0.0511762
MOU	0.0511583
"tax increase"	0.0507195
"plan of action"	0.0502128
Chernomyrdin	0.0500043
"military action"	0.0498526
statute	0.0497613
WTO	0.0493147
"trade issue"	0.0492663
deployment	0.0492589
"tax change"	0.0491299
referendum	0.0490601
"Maastricht Treaty"	0.0490151
"Free Trade Area"	0.0484807
terrorism	0.0482024
"missile defense system"	0.0477215
adoption	0.047458
revision	0.0472617
Wye	0.0472565
"World Trade Organization"	0.0471243
CITES	0.0470444
truce	0.0468525
"memorandum of understanding"	0.0459979
"Lome Convention"	0.0456503
ordination	0.0455998
"finding of fact"	0.0455226
"bank withdrawal"	0.0455176
accession	0.045381
proclamation	0.0453322
Shays-Meehan	0.0450946
candidacy	0.0448297
"Framework Agreement"	0.0447354
lifting	0.0446994
"Telecommunications Act"	0.0445459
"trade policy"	0.0445008
directive	0.0444622
quota	0.0444009
"East African Community"	0.0443267
"nuclear weapon"	0.0440643
hegemonism	0.0440401
"Vienna Convention"	0.0436219
proposition	0.0434503
"code of conduct"	0.0433328
Helms-Burton	0.0431926
"international criminal court"	0.0431889
"Declaration of Independence"	0.0431112
"human rights"	0.0428866
"death penalty"	0.0427119
Kashmir	0.0426607
"General Agreement on Tariffs and Trade"	0.042101
"arms deal"	0.041885
"compromise plan"	0.0415417
"Balanced Budget Act"	0.0412406
"European Union's"	0.0410781
"abortion issue"	0.0409792
Privatization	0.0409569
Liberalization	0.0408105
"U.N. Security Council"	0.0407401
"budget cut"	0.0403744
"Title IX"	0.0403159
"rule of law"	0.0402138
homosexuality	0.0401655
"Stability Pact"	0.040037
))
(comprehensiveness (desc 1189.72) (sims
timeliness	0.0912835
completeness	0.0909252
self-awareness	0.0768536
breadth	0.0614025
"three centuries"	0.0599136
thoroughness	0.0590933
cost-effectiveness	0.0570214
safeguarding	0.0567081
probity	0.0537896
co-sponsors	0.051762
furtherance	0.0506381
irrationality	0.0497647
objectivity	0.0480366
explosiveness	0.0472139
impartiality	0.0456292
materialization	0.045299
desirability	0.0451239
predictability	0.0446489
punctuality	0.0446062
magnificence	0.0441648
trustworthiness	0.0436271
"treasure house"	0.0432187
overviews	0.0430061
reaffirmation	0.0423916
"data processing"	0.042081
guile	0.0420528
undermining	0.040409
adequacy	0.0400771
))
(compression (desc 7269.1) (sims
Encryption	0.110396
imaging	0.0885143
fishnet	0.0856955
filtering	0.0845167
decompression	0.0749412
editing	0.0721834
Quicktime	0.0719225
playback	0.0700009
telephony	0.0689163
"artificial intelligence"	0.0686227
transfusion	0.0684825
automation	0.0671868
suction	0.0654719
CAD	0.0643677
cryptography	0.0641764
"genetic engineering"	0.0635202
triage	0.063499
emulation	0.0632851
visualization	0.0632726
storage	0.0631741
synchronization	0.0628733
sensing	0.0608513
Shockwave	0.0607505
purification	0.0605325
CDMA	0.0604115
BLUETOOTH	0.0599288
transmission	0.0593829
personalization	0.0578931
GSM	0.0578188
videophone	0.0570593
cushioning	0.0567348
phonics	0.0566964
readout	0.056473
multimedia	0.0564313
mammography	0.055742
"mass transit"	0.0556077
heating	0.0553215
isotope	0.0552916
processing	0.0551622
emulator	0.0546288
MP@	0.0541571
manipulation	0.0534172
Filtration	0.0533468
"weather forecasting"	0.053052
"artificial insemination"	0.0529243
Sigma	0.052717
Stinger	0.0526657
triangulation	0.0524626
firewall	0.0524289
fingerprinting	0.052224
"solar energy"	0.0520682
ultrasound	0.0519925
measurement	0.0515671
retrieval	0.0512644
"computer graphics"	0.0511583
enhancement	0.0509434
SDH	0.0508364
psychotherapy	0.0506998
extraction	0.0504459
bandwidth	0.0503597
rollovers	0.0503567
copying	0.050347
"wide screen"	0.0501146
"Windows Media Player"	0.0500444
networking	0.0500233
camcorder	0.0496551
detection	0.0495874
dopamine	0.0495493
"tax avoidance"	0.0494153
bookkeeping	0.0493133
audio	0.0485718
fillip	0.0485076
"magnetic resonance imaging"	0.0483986
synthesis	0.0479159
x-ray	0.0477662
"quality control"	0.0476558
acceleration	0.0476425
WordPerfect	0.0476024
propagation	0.0475712
simulation	0.0473648
"social insurance"	0.0473512
fermentation	0.0472507
Projector	0.0471996
sterilization	0.0469764
"global positioning system"	0.0468989
recycling	0.0466776
XML	0.0466727
mapping	0.0465578
utilization	0.0462734
Midi	0.046144
authentication	0.0460261
ADSL	0.046016
signaling	0.0458947
animation	0.0457732
"Microsoft Office"	0.0456607
urbanization	0.0454997
GPS	0.0454923
"Liquid Audio"	0.0454913
dictation	0.0454167
regeneration	0.0453324
converter	0.0452156
pushup	0.0451717
watering	0.0449988
decoding	0.0449287
stimulation	0.044876
"X-ray machine"	0.0448175
printing	0.044783
irradiation	0.0447278
irrigation	0.0446857
NSP	0.0446813
"space age"	0.0444936
industrialization	0.0444125
radiation	0.0444108
watermark	0.0443801
"solar power"	0.0443687
headcount	0.044256
interactivity	0.0442486
amplification	0.0441817
piracy	0.044181
configuration	0.0441126
fertilization	0.0440494
sedation	0.0440159
forecasting	0.0439052
"management change"	0.0437255
barter	0.0436309
Radon	0.0436114
corrosion	0.0436056
"wireless telephone"	0.043563
"broadcasting company"	0.0434554
downloading	0.0434276
"information gathering"	0.043245
"product development"	0.0431773
injection	0.0431471
"fire control"	0.0429604
compressor	0.0424788
packaging	0.0424166
"storage space"	0.0423546
interferon	0.0423318
carnivore	0.0422745
"cellular telephone"	0.0422107
reproduction	0.0421126
computing	0.0419889
telemedicine	0.0419578
biomass	0.0419491
disk	0.0419316
font	0.0418856
circuitry	0.0418593
deflation	0.0418425
coding	0.041815
avionics	0.0418032
Indexing	0.0417895
browsing	0.0417703
mechanization	0.0417608
"wear and tear"	0.0417525
"cold weather"	0.0416763
miniaturization	0.0415592
subterfuge	0.0414471
"engine failure"	0.0414091
"birth control"	0.041379
"back end"	0.0412805
trauma	0.0412545
inflammation	0.0412301
drilling	0.0412269
nt	0.0411969
BoT	0.0411293
Convergence	0.0410979
dollarization	0.0410917
"vitamin D"	0.0409765
switching	0.0409206
horsepower	0.0409178
sampling	0.0408172
verification	0.0407101
translation	0.0406706
enhancer	0.040645
postage	0.0403455
hardware	0.0403149
microchip	0.0403067
"liquidity problem"	0.0402695
corroboration	0.0402662
spreadsheet	0.0402496
Concealment	0.0401805
scheduling	0.0401424
"chemical reaction"	0.040023
ergonomics	0.0400068
))
(compressor (desc 5029.71) (sims
"water heater"	0.131821
air-conditioner	0.124731
"washing machine"	0.119475
conditioner	0.112997
"electric fan"	0.109709
turbine	0.101794
"picture tube"	0.0969922
heater	0.0940898
"household appliance"	0.0935454
"tv set"	0.0908492
"diesel engine"	0.0905448
"microwave oven"	0.0896092
forklift	0.0888877
"home appliance"	0.0885553
"aircraft engine"	0.0881167
VCD	0.0869274
"color television"	0.0860561
"specialty chemical"	0.0854385
motor	0.0850499
appliance	0.0837656
"memory chip"	0.0836692
"communications equipment"	0.0836644
transformer	0.0826477
"vacuum cleaner"	0.082257
ethylene	0.0821942
repairmen	0.0811194
"integrated circuit"	0.0799581
handset	0.0798963
tubing	0.0797877
"machine tool"	0.0792984
generator	0.0787944
amplifier	0.0786728
"electric motor"	0.0776019
"four million tons"	0.077117
microchip	0.075904
"golf equipment"	0.0758902
"five million tons"	0.0752304
"jet engine"	0.0747555
LNG	0.0741336
"power tool"	0.0740298
"water pump"	0.0738528
"rolling stock"	0.0738467
newsprint	0.0722783
"wind power"	0.072099
"optical fiber"	0.0717358
cooker	0.071648
"sewing machine"	0.0716341
biogas	0.0711779
refrigerator	0.0709201
"electric power"	0.0703609
Filtration	0.0701236
"disk drive"	0.0683074
semiconductor	0.0681828
"steam turbine"	0.0677855
"solar cell"	0.0676549
lysine	0.0668762
methanol	0.0667247
automobile	0.0665734
boiler	0.0663088
"cooling system"	0.0660409
refrigerant	0.0659601
Motorcycle	0.0657436
repairman	0.0657015
washer	0.0652487
"television set"	0.0651496
"car seat"	0.0638287
valve	0.0634653
"solar power"	0.0632578
"motor vehicle"	0.0629121
"synthetic fiber"	0.0627807
microprocessor	0.0623291
dram	0.0622939
battery	0.0622666
"electronic equipment"	0.0621283
videogame	0.0620943
converter	0.0620558
Projector	0.0619603
phosphate	0.0619205
duct	0.0618339
gyroscope	0.0615159
"fish meal"	0.0614732
freezer	0.0610429
"compact disc"	0.0606703
"stereo system"	0.0603784
escalator	0.0601952
hydropower	0.0599905
pipe	0.0596758
"steel plate"	0.0595828
thermostat	0.0592992
lubricant	0.0591014
"six million tons"	0.0588531
"computer hardware"	0.0585575
polyethylene	0.0584996
gearbox	0.0584088
VCDs	0.0583735
"passenger car"	0.0582949
tritium	0.0579735
machinery	0.0578695
mw	0.0578364
stove	0.0576228
"electronic device"	0.0576052
"hair dryer"	0.0575043
"heating system"	0.0574322
"over @@ million tons"	0.0570628
"compact car"	0.0569936
"fuel cell"	0.0568306
"silicon chip"	0.0565168
copier	0.0563933
"consumer goods"	0.0563377
"building material"	0.0563055
"consumer electronics"	0.0563041
harvester	0.0555771
"gas turbine"	0.0555661
"mainframe computer"	0.055553
workstation	0.0553183
petrochemical	0.0552597
"storage device"	0.0548978
POTASH	0.0548757
"sparkling wine"	0.05475
"X-ray machine"	0.0545428
condensate	0.0545268
defibrillators	0.054504
IC	0.0544267
VCR	0.054401
analyzer	0.0543075
brake	0.0541614
"light bulb"	0.0540979
"office furniture"	0.0538226
"personal computer"	0.0536482
chassis	0.0533879
air-conditioning	0.0531989
defibrillator	0.0531741
pager	0.0530651
tractor	0.052934
"citric acid"	0.0526901
Microelectronics	0.0522594
urea	0.0520956
"three million tons"	0.0517369
"spare part"	0.0517302
"control system"	0.0516748
winch	0.0515331
"power system"	0.0514992
ethanol	0.0514712
pulp	0.0513889
transponder	0.0509945
bicycle	0.0509696
"fiber optics"	0.050775
Tyre	0.0507416
lightbulb	0.0507105
"scientific instrument"	0.0503679
"hand-held computer"	0.0502801
dishwasher	0.0500333
sensor	0.049929
"Lincoln Center Theater"	0.0498429
toaster	0.049839
generics	0.0498273
"fortune cookie"	0.0498032
kWh	0.0498017
elevator	0.0497698
"telephone set"	0.049652
potty	0.0494735
T-@@	0.049428
toilet	0.0493575
"cellular telephone"	0.0492578
"cane sugar"	0.0492455
LPG	0.049136
"cellular phone"	0.0490784
"CD player"	0.0490586
cookware	0.0490393
"plate glass"	0.0489214
"alcoholic beverage"	0.0484332
crusher	0.0483927
apparel	0.0483073
widget	0.0480627
electronics	0.0478211
silicone	0.0477716
jewellery	0.047683
meter	0.0475003
"time clock"	0.0474946
furnace	0.0474783
CRT	0.0473887
laser	0.0473416
"water filter"	0.0472676
Buicks	0.047133
mainframe	0.0469893
transistor	0.0468814
"electrical system"	0.0465165
"pet food"	0.0465118
microcomputer	0.046438
"household product"	0.046367
"fiber optic cable"	0.0463017
gyro	0.0461673
"telephone exchange"	0.0459484
"two million tons"	0.0459359
"cashew nut"	0.0459128
talc	0.0458731
lumber	0.0458284
fertilizer	0.0457709
sportswear	0.0457468
"solar energy"	0.0456352
))
(comprised (desc 1431.52) (sims
comprises	0.0725883
"close to one"	0.0593579
twenty-two	0.0549409
"core group"	0.0537158
roomful	0.0526559
urging	0.05021
"natural process"	0.0499345
"Eighty-five percent"	0.0489699
choosing	0.0478755
shedding	0.0467224
swearing-in	0.0445423
semicircle	0.044154
co-chairs	0.0440378
weakest	0.0438634
rawness	0.0431506
maneuvering	0.0423453
"about three-quarters"	0.0417405
cabal	0.0413493
"almost two-thirds"	0.0402541
"full complement"	0.0401738
))
(comprises (desc 1878.08) (sims
troika	0.0754912
comprised	0.0725883
"Total Independence"	0.0588127
"Liberation Movement"	0.0537649
co-chairs	0.04986
denouncement	0.0472946
comprising	0.0465253
outhit	0.0459976
sending	0.0452582
"full complement"	0.0451006
"Joko Suprianto"	0.0447806
apportionment	0.0447801
"Long Yongtu"	0.0442263
"square inch"	0.0432898
"Bobby Julich"	0.042695
"won @@.@ percent"	0.0426482
jailing	0.0423874
urging	0.0417625
"National Liberation Front"	0.0414819
swearing-in	0.0407516
pacification	0.0405565
))
(comprising (desc 4476.68) (sims
eco	0.0499752
comprises	0.0465253
"Hezbollah (Party"	0.0425071
"Congress Working Committee"	0.0414576
"steering committee"	0.0406274
))
(compromise (desc 77875.9) (sims
agreement	0.163582
negotiation	0.152873
solution	0.152181
consensus	0.147727
settlement	0.145785
concession	0.13845
dialogue	0.137454
accord	0.135764
reconciliation	0.134727
deal	0.134173
resolution	0.126623
peace	0.122388
pact	0.121663
talk	0.118909
legislation	0.118361
cease-fire	0.116461
cooperation	0.116061
breakthrough	0.112365
change	0.111594
dialog	0.111469
understanding	0.111399
truce	0.11119
proposal	0.110197
mediation	0.109355
discussion	0.10893
amendment	0.108624
measure	0.108539
arrangement	0.105217
bargain	0.103678
confrontation	0.102977
reform	0.102077
Treaty	0.0996337
consultation	0.0989122
difference	0.0978723
referendum	0.0978058
plan	0.0969514
progress	0.096807
debate	0.0965459
step	0.0962263
initiative	0.0962181
bargaining	0.0957981
intervention	0.0957553
bill	0.0950867
rapprochement	0.0947619
"tax cut"	0.0945239
decision	0.0939713
"peace treaty"	0.092915
impasse	0.0927995
censure	0.0923905
action	0.092105
ceasefire	0.0912957
overhaul	0.0912471
withdrawal	0.0904023
vote	0.0902787
unity	0.0892301
revision	0.0889883
partnership	0.0882754
Alliance	0.0876218
resumption	0.0869754
alternative	0.0863653
disagreement	0.0862747
tradeoff	0.0860376
dispute	0.0851194
deadlock	0.0849492
effort	0.084781
policy	0.0846388
remedy	0.0837348
approach	0.0834608
Declaration	0.082955
merger	0.0827847
strategy	0.0823333
adjustment	0.0822813
restriction	0.0820762
improvement	0.0813931
coordination	0.0812343
fight	0.0805672
conflict	0.080406
integration	0.080334
lifting	0.0800179
process	0.079929
Formula	0.0799254
stance	0.0799028
package	0.0796226
reduction	0.079607
restraint	0.0795788
flexibility	0.0794225
arbitration	0.0789286
mechanism	0.078698
"rate cut"	0.0786277
showdown	0.0783814
"tax increase"	0.078317
accommodation	0.0782777
stalemate	0.0782118
provision	0.0777458
renewal	0.0776718
framework	0.0775873
Sacrifice	0.0771974
battle	0.0771715
deployment	0.0767679
outcome	0.0767342
"trade agreement"	0.0765724
commitment	0.0765455
cut	0.0764321
recommendation	0.0760833
reunification	0.0760303
ban	0.0760262
agenda	0.0748388
pledge	0.0747391
relationship	0.0745578
balance	0.0745256
acceptance	0.0743553
guideline	0.0742563
diplomacy	0.0741857
regulation	0.0740359
relation	0.0739525
principle	0.0739087
exchange	0.0735481
bailout	0.0735221
moratorium	0.073431
"military action"	0.0733941
participation	0.0733654
extension	0.0731247
contact	0.0731024
support	0.0728741
conciliation	0.072434
meeting	0.0722503
conclusion	0.0720926
solidarity	0.0719981
collaboration	0.0715682
argument	0.0714633
timetable	0.0714587
development	0.0713107
tolerance	0.0712166
issue	0.070737
act	0.0706936
"spending cut"	0.0703626
Implementation	0.0703172
detail	0.0698382
explanation	0.0697954
veto	0.0696713
expansion	0.0696625
idea	0.0695884
answer	0.0693569
disarmament	0.0692223
guarantee	0.0692002
summit	0.0690647
suggestion	0.06906
blueprint	0.068935
"free trade"	0.0689274
normalization	0.0689219
forgiveness	0.0689199
autonomy	0.0688683
Liberalization	0.0688592
struggle	0.0685827
postponement	0.0684974
response	0.0682394
war	0.067947
decree	0.0678377
split	0.0678298
strike	0.0677964
deliberation	0.0677886
reversal	0.0677782
protocol	0.0677507
rule	0.0673429
budget	0.0672936
pullback	0.0672497
bid	0.0671979
"Bill of Rights"	0.0671175
law	0.0667468
judgment	0.0664967
draft	0.0664028
delay	0.0663578
"rate increase"	0.0661174
position	0.066019
"mutual understanding"	0.0660039
scheme	0.065962
control	0.0659251
document	0.0658869
"tax break"	0.0657087
bipartisanship	0.0656772
option	0.0656523
choice	0.0656488
recognition	0.065643
success	0.0655896
sharing	0.0655858
endorsement	0.0655282
creation	0.0652704
limit	0.0651323
ratification	0.0649351
consolidation	0.064906
clash	0.0648865
Coalition	0.0648292
surrender	0.0647578
sanction	0.0647364
stability	0.0646003
democracy	0.0645856
funding	0.0645588
continuation	0.0642583
attempt	0.0642577
approval	0.0641312
))
("compromise plan" (desc 1324.58) (sims
"American plan"	0.144245
"reorganization plan"	0.133241
"tax change"	0.125732
"merger agreement"	0.116913
"political program"	0.107677
"master plan"	0.104462
"takeover offer"	0.103299
"Action Plan"	0.100627
"U.N. Resolution @@@"	0.0982147
"trade bill"	0.0927891
renomination	0.089799
"Kyoto Protocol"	0.0879768
"tax hike"	0.08756
"pilot program"	0.0869342
"bond issue"	0.0842044
hypotheses	0.0828446
"marriage proposal"	0.0823705
"political platform"	0.0822469
"tax reduction"	0.08153
"labor agreement"	0.0812522
"takeover bid"	0.08051
"tax bill"	0.0790337
"plan of action"	0.0786516
roadmap	0.0784476
"Marshall Plan"	0.0776562
"incentive plan"	0.0776436
"battle plan"	0.0774178
Measures	0.0772773
"wage scale"	0.0765245
Koch-Weser	0.0758449
"Bill of Rights"	0.075698
"contingency plan"	0.074555
"trade policy"	0.0742049
"policy change"	0.0740191
"Revised Version"	0.0739738
"line of products"	0.0728834
"code of conduct"	0.0722403
"spending cut"	0.0718049
"organic law"	0.0716081
VFA	0.070976
"quota system"	0.0701308
"budget cut"	0.0695034
"tax increase"	0.0694032
"Resolution @@@@"	0.0687947
"European Union's"	0.0687074
"rating system"	0.0686989
counterbid	0.0685377
Reauthorization	0.0685132
"management change"	0.0684355
"Civil Rights Act"	0.0680288
"written agreement"	0.0674028
"tax incentive"	0.0672563
"reserve fund"	0.0668725
namelist	0.0661749
"military mission"	0.0661568
"arms deal"	0.065412
"wage freeze"	0.0653524
ADP	0.0650779
"development plan"	0.0646737
Stoneman	0.0644689
"safety measure"	0.0643437
proviso	0.0640768
"name change"	0.0638517
"Proposition @"	0.0635535
chokehold	0.0634568
"ad blitz"	0.0633793
"final judgment"	0.0632123
Ordinance	0.0630975
"software product"	0.0629093
Demutualization	0.0627834
"loan application"	0.0622702
Robson	0.0615778
PDA	0.0613398
"communications satellite"	0.0612377
"Israeli Knesset"	0.0611718
"rehabilitation program"	0.0610695
bylaw	0.0610078
dollarization	0.0607321
hypothesis	0.0606559
livery	0.0605791
"Plan Colombia"	0.0604768
"Proposition @@"	0.0602408
"finding of fact"	0.0601914
McGreevey	0.0601028
"anti-dumping duty"	0.0596688
Projects	0.0596612
"New Deal"	0.059558
olestra	0.0595126
"Field Poll"	0.0595022
manifesto	0.058944
PNTR	0.0588421
"Agenda @@@@"	0.0588077
"pricing system"	0.0585663
counteroffer	0.0583356
"user fee"	0.0583268
"trial balloon"	0.058174
"electoral system"	0.0575892
"domed stadium"	0.0572564
"sewer line"	0.0572146
candidature	0.0571196
abatement	0.0569779
"compensation package"	0.0569691
"tender offer"	0.056862
CEC	0.0566921
modification	0.0565693
"foster mother"	0.0565122
linkup	0.0561579
"word of advice"	0.0560657
"Resolution @@@"	0.0559339
"legal instrument"	0.0558578
iteration	0.0557622
wording	0.0557412
"Framework Agreement"	0.0556569
"Helms-Burton Act"	0.0555342
"out-of-court settlement"	0.055489
"work group"	0.0553015
formulation	0.0552715
"employment contract"	0.055254
"scoring system"	0.0552188
"Policy Address"	0.0550559
"defense program"	0.055048
"incentive program"	0.0549917
"Boeing company"	0.0549497
Aventajado	0.0548467
"Polisario Front"	0.0547055
"tax policy"	0.0546785
"joint-stock company"	0.0546102
preamble	0.0544443
"letter of credit"	0.0544262
DeVille	0.054376
Radojevic	0.0540666
protectorate	0.0536652
"programming language"	0.053619
stayaway	0.0536189
"bankruptcy law"	0.0535433
"monitoring program"	0.0535282
"rate cut"	0.05345
"legal code"	0.0534474
"Commission on Presidential Debates"	0.0533897
"Free Trade Agreement"	0.0533875
"agenda item"	0.0531816
"line item"	0.0531459
Shays-Meehan	0.0531161
refusals	0.0530191
"Super League"	0.0529991
Requests	0.052901
Koehler	0.0527386
"European Court of Justice"	0.0527054
Anelka	0.0526155
bonhomie	0.0524223
Ota	0.0524186
"reading program"	0.0524087
"Horst Koehler"	0.0523053
"point system"	0.0522848
tamoxifen	0.0522197
"legal document"	0.0521078
"Russian Parliament"	0.05189
"golden parachute"	0.0518564
"ground rule"	0.0517765
"purchase agreement"	0.0517717
"Proposition @@@"	0.0514565
"Beijing Declaration"	0.0513844
"National Missile Defense"	0.0512781
"maritime law"	0.0512671
"U.N. Security Council Resolution @@@"	0.051172
infallibility	0.0511505
"postmaster general"	0.0509255
"first reading"	0.0508302
"marketing program"	0.0508162
"steam locomotive"	0.0507281
"battle line"	0.0504237
"rule of thumb"	0.050192
Dunham	0.0501749
"second reading"	0.0501504
"business plan"	0.0501355
cloning	0.0500885
"social contract"	0.0500604
"British Foreign Office"	0.0500455
"labor contract"	0.0499612
"fund-raising campaign"	0.049947
"progress report"	0.0498969
"pay cut"	0.0497531
monstrosity	0.0496711
"degree program"	0.0493566
"investment fund"	0.0492307
prosthesis	0.0491543
"direct evidence"	0.0491525
"two pitchers"	0.0491326
"line of work"	0.0490832
"living arrangement"	0.0490796
commutation	0.0489112
"close to one"	0.0487361
"Office @@@@"	0.0487213
granting	0.0486825
raloxifene	0.0485822
convocation	0.0485199
"expansion plan"	0.0484755
"US Congress"	0.0483158
airstrike	0.048294
"sugar refinery"	0.0482337
))
(Compton (desc 5645.88) (sims
Bakersfield	0.103293
Chandra	0.0922194
Glendale	0.0899826
"East St. Louis"	0.087606
LAKEWOOD	0.0875089
Calabasas	0.084711
"Santa Monica"	0.0838039
CARSON	0.0836662
Fremont	0.0827916
Torrance	0.0799182
riverside	0.0785924
"East Orange"	0.0769678
"North Hollywood"	0.0767276
Paterson	0.0761472
"South Bronx"	0.0756223
"Orange County"	0.073996
Reseda	0.0739333
Palmdale	0.0727431
"Jersey City"	0.0716453
"Cobb County"	0.0716278
"El Segundo"	0.0709176
"San Luis Obispo"	0.0706452
Sausalito	0.0705083
Tarzana	0.0704883
"San Bernardino"	0.0703601
"East Los Angeles"	0.0702755
"Santa Ana"	0.0699087
Matamoros	0.0690431
Burlingame	0.068977
Oxnard	0.0689606
Pasadena	0.0688349
Brooklyn	0.0684855
Spokane	0.0681029
Alameda	0.0676358
"Sherman Oaks"	0.0667258
Yonkers	0.0666507
Camden	0.0666132
Chatsworth	0.0664138
Fresno	0.0663238
"San Mateo"	0.0658684
"San Rafael"	0.0652106
Brownsville	0.0651659
Brentwood	0.0647555
"Van Nuys"	0.0647421
Aberdeen	0.0639128
Somerville	0.0636208
Westfield	0.0634824
"Manhattan Beach"	0.0634785
"Walnut Creek"	0.0634201
Encino	0.0633269
"Thousand Oaks"	0.0632081
"East Harlem"	0.0629061
Eureka	0.062795
Medford	0.0622927
"West Hollywood"	0.0621282
Sunnyvale	0.0620843
"Overland Park"	0.061955
Tijuana	0.0619159
"Mars Global Surveyor"	0.0618625
"Santa Rosa"	0.0615673
Chattanooga	0.0613665
Inglewood	0.0610931
"Long Beach"	0.0605743
"Santa Barbara"	0.0605192
Pappas	0.0600281
"San Pedro"	0.0599998
Alpharetta	0.059895
"Santa Clarita"	0.0595707
"Newport Beach"	0.0595652
Stamford	0.0594566
Malibu	0.0593979
"Sao Paulo"	0.0592984
Tempe	0.0592178
Laredo	0.0592007
Fullerton	0.0590662
Berkeley	0.0589117
Juarez	0.0589099
Englewood	0.0588968
Dorchester	0.0588594
Port-au-Prince	0.0588341
"Woodland Hills"	0.0585199
"Mission Viejo"	0.0583813
"South San Francisco"	0.0583492
Tacoma	0.0582937
"Miami Beach"	0.0581451
"Polar Lander"	0.0581046
Emeryville	0.0580974
Medina	0.0578797
"La Jolla"	0.0578393
Pomona	0.0578385
Fontana	0.0573647
Greenwich	0.057328
"Palo Alto"	0.0572071
"Guatemala City"	0.056665
Newark	0.0566473
"Culver City"	0.0566048
Burbank	0.0565291
PATHFINDER	0.0564578
Hoboken	0.0564227
"Beverly Hills"	0.0563205
Richmond	0.0563194
"Mill Valley"	0.05624
Chatham	0.0561094
Hillsboro	0.0557294
Beaumont	0.0557006
"Baton Rouge"	0.0556539
"San Fernando Valley"	0.0556116
Astoria	0.0556005
Wilmington	0.0555379
"Lunar Prospector"	0.0555273
TRENTON	0.0554828
"Union City"	0.0554417
Bangor	0.055367
Ciampi	0.0553042
"Simi Valley"	0.0552495
Watertown	0.0552462
Petaluma	0.0551919
Waterbury	0.0551569
Madison	0.0551386
Norwalk	0.0551227
Tampa	0.054974
Lubbock	0.0548845
Quincy	0.0547118
Hayward	0.0545824
Irvine	0.0545125
Woodside	0.054251
flint	0.0539652
Woburn	0.0539195
"Palm Springs"	0.0539152
BOGOTA	0.05388
Vilnius	0.0537821
Sykes	0.0535959
Cassini	0.0535651
Naples	0.0535106
Lancaster	0.0535012
Newton	0.053447
Lafayette	0.0534409
Kismaio	0.0530697
"Granada Hills"	0.0528807
Montclair	0.0527521
Schenectady	0.0526915
BRIGHTON	0.0526592
Bronx	0.0526377
"Ciudad Juarez"	0.0525729
Plano	0.0525518
Springfield	0.052483
"Great Neck"	0.0523682
Poughkeepsie	0.0523358
"San Marcos"	0.0523174
Miami-Dade	0.0522722
"Studio City"	0.0522182
Greenville	0.0521927
"Santa Cruz"	0.0521027
Redding	0.0520688
Macon	0.0517795
Brundtland	0.0516447
Farris	0.0516429
"inner city"	0.051598
"Cherry Hill"	0.051569
Providence	0.0512589
Westminster	0.0509804
"Garden City"	0.0508268
Norwood	0.0507966
"Hell's Kitchen"	0.0507569
"Silver Spring"	0.0507373
"Oklahoma City"	0.0507335
WARSAW	0.0506563
Bensonhurst	0.0505285
Hamburg	0.0505262
Akron	0.0503747
Minneapolis	0.0502558
Salinas	0.0502515
Fairbanks	0.0501894
"Hyde Park"	0.050179
Carmel	0.0500173
Napa	0.0499792
ARCADIA	0.0499651
Claremont	0.0499507
Decatur	0.0498809
Florence	0.0498591
douglas	0.0498429
Galileo	0.0498405
Boise	0.0497897
Birmingham	0.04972
Guadalajara	0.0497127
Youngstown	0.0495935
"New Haven"	0.0495492
Gloucester	0.0495001
"South Boston"	0.0494063
Louisville	0.0493608
Ensenada	0.0493425
"Palm Beach Gardens"	0.049276
"Huntington Beach"	0.0492527
"New Rochelle"	0.0491474
Modesto	0.0491032
Hartford	0.0490782
"Little Havana"	0.0490759
Montgomery	0.0490586
Cupertino	0.0490147
"Little Italy"	0.0490004
))
(Comptroller (desc 17116.9) (sims
"lieutenant governor"	0.181635
"Eliot Spitzer"	0.170889
treasurer	0.148299
"inspector general"	0.137865
"Richard Blumenthal"	0.136992
McCall	0.125934
"Dennis Vacco"	0.1232
"district attorney"	0.120424
Mayor	0.118148
commissioner	0.114431
"Charles Schumer"	0.113732
auditor	0.111042
"surgeon general"	0.110561
Governor	0.107361
"secretary of state"	0.104264
Councilman	0.103117
"George Pataki"	0.101541
"medical examiner"	0.0985019
superintendent	0.0962982
"solicitor general"	0.0961416
senator	0.0955875
"General Accounting Office"	0.0952286
Chancellor	0.0946734
"Gray Davis"	0.0942024
"Board of Elections"	0.0933166
Congressman	0.0927872
"Department of Health"	0.0926783
Speaker	0.0920708
"Daniel Patrick Moynihan"	0.0912995
"Attorney General"	0.0906861
General	0.0900973
"Charles Rangel"	0.0900951
"Congressional Budget Office"	0.0894093
"John G. Rowland"	0.0893947
"Department of Labor"	0.0879395
"Health Department"	0.0877403
secretary	0.0874938
Sheriff	0.0873286
"board of education"	0.0869412
"Geraldine Ferraro"	0.0868284
"Christie Whitman"	0.0861112
"Mark Green"	0.0854991
"public defender"	0.0854261
"Department of Transportation"	0.0852243
Vallone	0.0850547
"state senator"	0.0845632
"Peter Vallone"	0.0840015
Spitzer	0.0835452
chairmen	0.0832792
prosecutor	0.082435
legislator	0.0822876
"Department of Agriculture"	0.0820498
"Economic Planning Agency"	0.0814245
"Mel Carnahan"	0.0813356
"Jane Hull"	0.0807718
"vice president"	0.0806889
"Edward M. Kennedy"	0.0803856
"Treasury Department"	0.0800174
"Andrew Cuomo"	0.0795415
congressmen	0.0794115
Counsel	0.079337
"Dan Morales"	0.0793348
Pataki	0.079082
"chief justice"	0.0787524
Hevesi	0.078352
"Census Bureau"	0.0782584
undersecretary	0.0780883
"John Cornyn"	0.0775125
"drug czar"	0.0773049
Secretary-General	0.076876
"Nita Lowey"	0.0763466
trustee	0.0763165
"Congressional Research Service"	0.0761558
"Roy Barnes"	0.076077
"Labor Department"	0.0760178
"Betsy McCaughey Ross"	0.0758025
chairman	0.0756271
"Bill Lockyer"	0.0751734
controller	0.074987
"postmaster general"	0.0749788
"William Cohen"	0.0748998
Danforth	0.0744458
"Bob Bullock"	0.0744183
assemblyman	0.0742714
administrator	0.074067
Magistrate	0.0739506
lawmaker	0.0738774
"Jeanne Shaheen"	0.0737134
"Ann Richards"	0.073552
"Department of Education"	0.0729563
"chief of staff"	0.0728417
"George E. Pataki"	0.072831
"Justice Department"	0.0726685
Ombudsman	0.0723942
"American Petroleum Institute"	0.0723847
"Federal Trade Commission"	0.0723375
Premier	0.0720837
"Department of Corrections"	0.07203
"Public Service Commission"	0.0714592
"Environmental Protection Agency"	0.071385
EPA	0.0713827
"Department of Health and Human Services"	0.0712757
supervisor	0.0711639
"U.S. Environmental Protection Agency"	0.0711072
"Justice Ministry"	0.0709916
councilwoman	0.0708762
"Secretary of Defense"	0.0705826
"Institute of Medicine"	0.070562
"Dan Lungren"	0.0705281
"Education Department"	0.0702721
Democrat	0.070098
"Scott Harshbarger"	0.0699852
"state's attorney"	0.0697795
Attorney	0.0697271
"Dianne Feinstein"	0.0696758
"first lady"	0.0696383
"Department of Environmental Protection"	0.0695088
"Department of Justice"	0.06941
"police chief"	0.0693867
"Alfonse D'Amato"	0.0693262
"Commerce Department"	0.069285
director-general	0.0691164
"elected official"	0.0689115
"National Election Committee"	0.0688195
"finance minister"	0.0687075
"U.S. State Department"	0.0687027
"Jim Florio"	0.0682412
regent	0.0682092
"Bruce Babbitt"	0.0680631
Verniero	0.0680081
"National Highway Traffic Safety Administration"	0.0679061
"Department of Housing and Urban Development"	0.0677722
"Rick Perry"	0.0676335
"National Research Council"	0.0676282
"Conference Board"	0.0675666
"John Sweeney"	0.0674058
bureau	0.067234
"Paul Cellucci"	0.0672067
Cuomo	0.0671151
"Department of Commerce"	0.0670206
"Janet Reno"	0.066863
"city council"	0.0667793
congresswoman	0.0667132
"Securities and Exchange Commission"	0.0666344
accountant	0.0665856
"Rick Lazio"	0.0665079
"Transportation Department"	0.0664453
"John Rowland"	0.0662825
"foreign minister"	0.0661363
"Mario Cuomo"	0.0661355
"Kofi Annan"	0.065857
"Robert Rubin"	0.0657392
"U.S. Treasury Department"	0.0656063
"Federal Bureau of Investigation"	0.0655966
"Department of Environmental Conservation"	0.0654825
"ethics panel"	0.0654744
"Finance Ministry"	0.0654535
"Barbara Boxer"	0.0654073
"Agriculture Department"	0.0653146
"Shimon Peres"	0.0652978
advocate	0.0652055
regulator	0.0651771
"John Howard"	0.0650867
auditor-general	0.0650371
"Secretary of Commerce"	0.0650008
"U.S. Agriculture Department"	0.0649887
"general secretary"	0.0648562
"executive secretary"	0.0647686
"European Commission"	0.0644594
"board of regents"	0.0644147
"Patrick Leahy"	0.0643943
commission	0.0643227
"police lieutenant"	0.0642343
deputy	0.0642119
"Tom Campbell"	0.0639648
"Jim Hodges"	0.0639148
alderman	0.0639072
Eurostat	0.0638807
"fire chief"	0.0638602
governorship	0.0638171
Giuliani	0.06376
Procurator	0.0636953
"U.S. Labor Department"	0.0636322
"tax collector"	0.0633378
Ambassador	0.0633318
Mullinax	0.063108
"Joseph Bruno"	0.0629921
"school board"	0.0628366
FTC	0.0628218
Schumer	0.0627756
"commander in chief"	0.0627748
"Carolyn Maloney"	0.0627501
"National Transportation Safety Board"	0.0626568
"head of state"	0.0624134
"U.S. Census Bureau"	0.062158
"Pete Wilson"	0.0621542
"John Ashcroft"	0.062045
"U.S. Commerce Department"	0.0620134
"managing director"	0.0619321
attorney-General	0.0619064
))
(compulsion (desc 6641.59) (sims
inclination	0.0810433
impulse	0.0745938
"moral obligation"	0.0656337
Addiction	0.0651122
affinity	0.0605314
obsession	0.0596484
frailty	0.0591333
cudgel	0.0582277
tendency	0.0573268
jealousy	0.0567781
peculiarity	0.055813
anxiety	0.054757
fascination	0.054091
"frame of reference"	0.0538029
propensity	0.0532626
itch	0.0519544
ambivalence	0.0518323
schism	0.0516253
quandary	0.0510924
preoccupation	0.0509496
lust	0.0500853
epiphany	0.0495573
courage	0.0485984
"numbers game"	0.048041
longing	0.0479746
hobby	0.047723
"free rein"	0.0471366
fixation	0.0470805
temptation	0.0469945
appetite	0.0467218
undercurrent	0.0461952
imperative	0.0460594
trepidation	0.0460468
Awakening	0.0458276
"trump card"	0.0457984
magnetism	0.0454124
cakewalk	0.0454077
proclivity	0.0452729
foible	0.0452618
transgression	0.0452408
qualm	0.0452228
yearning	0.0447438
vanity	0.0447146
eagerness	0.044543
impossibility	0.0444761
vulnerability	0.0443457
hunger	0.0441266
reluctance	0.0441238
fondness	0.0439391
rancor	0.04377
backsliding	0.0437621
pluralism	0.0435733
paradox	0.0435012
"sense of duty"	0.0430734
groundswell	0.0430581
delusion	0.0429881
motivation	0.0428038
decency	0.0424775
urgency	0.0424438
"secret plan"	0.0422631
guidepost	0.0422517
aversion	0.042138
edginess	0.042075
kinship	0.0419399
despair	0.0419338
malaise	0.0419261
disorder	0.0418731
serendipity	0.041745
coercion	0.0417194
interlude	0.0416511
fetish	0.0416021
recklessness	0.0415965
arousal	0.0413481
tradeoff	0.0412645
"blank check"	0.0412636
mindset	0.0411835
laxity	0.041117
fragility	0.0410536
goings-on	0.0408904
helplessness	0.0408464
immaturity	0.0407902
"hot potato"	0.0406703
shame	0.0406236
empathy	0.0406148
sadness	0.0405799
"difference of opinion"	0.040518
calmness	0.0405101
anguish	0.0404844
cynicism	0.0404774
kindness	0.0402827
ambiguity	0.0402719
dilemma	0.0402168
"strong force"	0.0402068
voyeurism	0.0401998
phobia	0.0401489
smirk	0.0400015
))
(CompUSA (desc 4779.91) (sims
"Best Buy"	0.25535
"Circuit City"	0.230783
"Radio Shack"	0.169244
Staples	0.165652
"Office Depot"	0.164835
"Home Depot"	0.148378
Wal-Mart	0.146416
"Barnes &AMP; Noble"	0.1431
"Rite Aid"	0.14043
Walmart	0.137867
"Staples Inc."	0.133507
"J.C. Penney"	0.133156
WPP	0.127341
Tandy	0.120889
Costco	0.118593
VENATOR	0.117652
AutoNation	0.116183
Asda	0.11588
"Sharper Image"	0.114578
Caldor	0.114533
Sears	0.112883
Kmart	0.111309
RJR	0.1109
Penney	0.11066
Reel.com	0.109415
"Toys R Us"	0.108675
EMC	0.108334
"Neiman Marcus"	0.108325
Checkfree	0.106741
Starbucks	0.10652
eToys	0.105806
Webvan	0.104523
"Federated Department Stores"	0.104474
Kroger	0.103872
McKesson	0.103445
CDnow	0.101959
"Gap Inc."	0.101895
Emulex	0.101251
Safeway	0.100875
"Fred Meyer"	0.100698
Buy.com	0.100446
"Dayton Hudson"	0.0997787
"Whole Foods"	0.0994643
Bridgestone	0.0993448
Carrefour	0.0988194
"computer store"	0.0976379
"RJR Nabisco"	0.0970392
"Boston Scientific"	0.0966419
Federated	0.0961404
ALZA	0.0958805
Albertson's	0.0957844
CCE	0.09532
"BellSouth Corp."	0.0942616
BankAmerica	0.0942554
Barnesandnoble.com	0.0939794
Ciena	0.0938319
"Sprint PCS"	0.0932313
"Thermo Electron"	0.0930032
Priceline.com	0.0929395
"Wal-Mart Stores"	0.0928885
Amazon.com	0.092065
TYCO	0.0918194
PictureTel	0.091358
Fingerhut	0.0913064
"J&AMP;J"	0.0911274
Roberds	0.0896783
"Atlantic Richfield"	0.0894236
Williams-Sonoma	0.0893975
"National Grid"	0.0893326
"Saks Fifth Avenue"	0.0891372
Nordstrom	0.088924
"Barneys New York"	0.0888753
"Stride Rite"	0.0888044
XYLAN	0.0886867
ExciteAtHome	0.0884921
E-LOAN	0.0882844
"MCI WorldCom"	0.0882203
SGI	0.08795
"Planet Hollywood"	0.0878102
"Phelps Dodge"	0.0877115
ascend	0.0876781
Gymboree	0.087405
CVS	0.0873311
SkyTel	0.0868827
"Times Mirror"	0.0861555
Drugstore.com	0.0859647
"U.S. Trust"	0.0857624
NTL	0.085706
"Amazon.com Inc."	0.0856708
COLTEC	0.0852938
"Levi Strauss &AMP; Co."	0.0849155
MiniMed	0.0848859
Toysmart.com	0.0848741
Priceline	0.0847431
"Sprint Corp."	0.0847199
UAL	0.0845367
"P&AMP;G"	0.0845261
"International Business Machines Corp."	0.084133
Kodak	0.0840735
NiSource	0.0839207
"Advanced Micro"	0.0836055
Biogen	0.0833449
E-Trade	0.0830433
GANNETT	0.0830147
"Con Ed"	0.0827997
Autodesk	0.0827994
BCE	0.0827479
Saks	0.0821599
"Waste Management"	0.0821232
AMR	0.082115
"Bausch &AMP; Lomb"	0.0819953
Georgia-Pacific	0.0818638
Bloomingdale's	0.081777
Alltel	0.0817183
BofA	0.0815433
Litton	0.0813774
Medtronic	0.0813174
"HBO &AMP; Co."	0.0812686
Mattel	0.0811988
"First Union"	0.0810805
AstraZeneca	0.0805192
Halliburton	0.0804815
"BP Amoco"	0.0804804
Chiron	0.0796893
Pfizer	0.0786491
Ikea	0.0783092
Sunbeam	0.0779285
Honeywell	0.0779139
Norwest	0.0778861
Northpoint	0.0777113
ARCO	0.0773559
Transamerica	0.0773332
Cabletron	0.0772905
SmithKline	0.0771123
"Y&AMP;R"	0.0770047
Scientific-Atlanta	0.0767588
"Texas Instruments"	0.0766967
"Computer Associates"	0.0765886
HomeGrocer.com	0.0764301
Providian	0.0763218
Weyerhaeuser	0.0761684
REI	0.075718
Compaq	0.0756808
Amazon	0.0756327
Raytheon	0.0755981
ENTERGY	0.0755973
Omnicom	0.0755963
Genzyme	0.0755928
Aetna	0.0751776
"US Airways"	0.0750257
Viacom	0.0749946
"Ford Motor"	0.0749864
Cendant	0.0747391
Nortel	0.0747064
Healtheon/WebMD	0.0746522
"Food Lion"	0.0746055
NORTHROP	0.0745988
"Coca-Cola Co."	0.0741801
"Sara Lee"	0.0740845
"Cox Communications"	0.0739777
VoiceStream	0.0739019
Globalstar	0.0738968
Pepsico	0.0737893
Peapod	0.0737069
Starwood	0.0731599
Petrofina	0.0730608
Cisco	0.0728363
Broadcom	0.0728194
BankBoston	0.0724346
"MCI Worldcom Inc."	0.0723705
Sotheby's	0.0716302
"Krispy Kreme"	0.0715553
DaimlerChrysler	0.0713465
"Sony Corp."	0.0712683
GTE	0.0712225
Healtheon	0.0712139
"Times Co."	0.07112
Ameritech	0.071086
Stratus	0.0710012
WorldCom	0.070793
"Turner Broadcasting"	0.0706925
Barneys	0.0703452
"International Paper"	0.0703438
TELLABS	0.0703359
oracle	0.0701025
NatWest	0.0700784
Airtouch	0.0699559
Paxson	0.0698794
"Dell Computer Corp."	0.0698729
Interpublic	0.0697757
Walgreens	0.0697368
HP	0.0697142
Totalfina	0.0696724
"JDS Uniphase"	0.0696347
Danka	0.0693252
AIG	0.0692226
Bertelsmann	0.0691766
Maytag	0.0690184
GPU	0.0689639
NTT	0.0688794
))
(CompuServe (desc 6408.22) (sims
MSN	0.234634
ICQ	0.193602
"Microsoft Network"	0.192898
EarthLink	0.18691
Hotmail	0.179485
Netcom	0.174826
excite	0.162283
WebTV	0.159369
MindSpring	0.157325
Uunet	0.145165
NetZero	0.136181
AOL	0.131899
Netcenter	0.12491
"America Online"	0.123693
ATHOME	0.122471
Juno	0.12143
GeoCities	0.120542
DirecTV	0.117718
Yahoo	0.117214
"Bay Networks"	0.116207
ExciteAtHome	0.11478
Netscape	0.111097
Intuit	0.108607
MCI	0.106866
"U.S. Trust"	0.104253
Opel	0.102959
AltaVista	0.10228
Lycos	0.102227
TCI	0.101762
prodigy	0.101085
ZDNet	0.100773
"Time Warner"	0.100194
Reel.com	0.0997142
Orangina	0.0992395
"Digital Equipment Corp."	0.0986426
GTE	0.0978333
"Ask Jeeves"	0.0965032
Bertelsmann	0.0959758
Nextel	0.0945953
WordPerfect	0.0918196
Eudora	0.0917346
"Learning Company"	0.0911287
"Alta Vista"	0.0907209
"Bankers Trust Corp."	0.090197
ISP	0.0900935
"Sprint Corp."	0.0900322
"Lycos Inc."	0.0896891
PolyGram	0.0891968
"Digital Equipment"	0.0888874
"Time Warner Inc."	0.088576
"Netscape Communications"	0.0884625
Mediaone	0.087243
"Mobil Corp."	0.0872149
"Learning Co."	0.0857049
"Orange PLC"	0.0856586
Infoseek	0.0852498
"Tele-Communications Inc."	0.0847623
Broadcast.com	0.0846671
PRIMESTAR	0.0842828
"road runner"	0.0841886
"Fred Meyer"	0.0831163
"Atlantic Richfield"	0.0829246
EMC	0.0828009
AGL	0.0826924
Pillsbury	0.0826567
ENTERGY	0.0823332
Napster	0.0823125
ITT	0.0822004
"First USA"	0.0818758
"Hughes Electronics"	0.0815111
"Kraft Foods"	0.0813621
Priceline.com	0.0805112
Snapple	0.0804728
Schwab	0.0800953
Petrofina	0.0793355
"Sprint PCS"	0.079234
"MediaOne Group"	0.0791475
eBay	0.0790824
"Frontier Corp."	0.0788991
ETrade	0.0776877
Comsat	0.0776536
Checkfree	0.07721
sandpiper	0.0771696
Seagate	0.0771179
"Southwestern Bell"	0.0764004
ARCO	0.075389
IBM	0.0750305
VoiceStream	0.073739
Priceline	0.0737213
"Wyeth-Ayerst Laboratories"	0.0735853
Inktomi	0.0734592
"China Telecom"	0.0731633
GPU	0.0730103
"U S West"	0.0730018
"Wells Fargo"	0.0729369
"Niagara Mohawk"	0.0729107
CDnow	0.0729007
Broderbund	0.0728586
"Atlantic Richfield Co."	0.0727093
"Delphi Automotive Systems"	0.0726489
SBC	0.0725837
Lotus	0.0725676
quicken	0.0723269
"Sun Microsystems"	0.0722509
"MindSpring Enterprises"	0.0719334
Citibank	0.0715178
BellSouth	0.0714173
DrKoop.com	0.0713286
TiVo	0.071141
Humana	0.0709536
Amazon.com	0.0708823
TYCO	0.0702423
Audi	0.0702399
"Cadbury Schweppes"	0.0702173
"Media Metrix"	0.0700845
Amoco	0.0697924
"America Online Inc."	0.0697581
XYLAN	0.0691443
Instinet	0.0688227
MP@.com	0.0683664
Fedex	0.0679481
"Pac Bell"	0.0677499
oracle	0.0675581
"Bankers Trust"	0.0666857
personalization	0.0664961
Ameritech	0.0664578
Chrysler	0.06632
"Pacific Bell"	0.0658192
"Cox Communications"	0.0655578
Ingram	0.0648491
"Netscape Communications Corp."	0.0648242
CNET	0.0646656
Expedia	0.064282
"caller ID"	0.0640852
"Silicon Graphics"	0.0640012
"Reno Air"	0.063995
"Palm III"	0.0638991
"Internet Explorer"	0.0637202
"Mather Worldwide"	0.0630558
"McDonnell Douglas"	0.0629408
Airtouch	0.0629018
MTA	0.0628919
Google	0.0627695
Conoco	0.0627301
Rolls-Royce	0.0627121
"GTE Corp."	0.0627049
"Real Networks"	0.0626378
tripod	0.0625539
IDG	0.0624289
Cyrix	0.0622725
BankAmerica	0.0617389
RealNetworks	0.0616161
Fingerhut	0.0611975
"China Unicom"	0.0610185
"retail operation"	0.0609705
Hughes	0.0609462
BankBoston	0.0606934
Daewoo	0.060648
aol.com	0.0606249
Comcast	0.06029
VISTEON	0.0601018
JAL	0.0599234
"Times Mirror Co."	0.0599052
Tropicana	0.059647
Monsanto	0.059605
"Airtouch Communications"	0.0596034
Vivendi	0.0595636
SkyTel	0.0595036
WebMD	0.0595032
Akamai	0.0594929
Amtrak	0.0594871
"Lotus Development Corp."	0.0591764
EDS	0.0590463
"GE Capital"	0.0589572
Inc.	0.0589242
Mobil	0.0589226
"Apple Computer"	0.0586952
Stroh	0.0585613
"Blue Cross"	0.0585528
Lexis-Nexis	0.0585403
Acela	0.0584189
"Bell Atlantic"	0.0584138
Peapod	0.058251
"Pratt &AMP; Whitney"	0.0579575
Firestone	0.0578892
Healtheon	0.0577978
"Telecom Italia"	0.0577854
"Yahoo Inc."	0.0576972
Northpoint	0.0576851
Drugstore.com	0.0576411
"US Airways"	0.0575508
NTT	0.0575315
Mossad	0.0574882
Qwest	0.0574435
Gnutella	0.0573663
"Northeast Utilities"	0.0573481
"MCI WorldCom"	0.0571456
Mastercard	0.0571193
Overnite	0.0571177
Travelocity	0.0570657
))
(computation (desc 3836.17) (sims
algorithm	0.0927275
calculation	0.087877
modeling	0.0657927
computing	0.0639574
buybacks	0.0620397
"problem solving"	0.0619853
"surgical procedure"	0.0594226
"detective work"	0.0573492
self-examination	0.0573376
"head count"	0.0566955
arithmetic	0.0563604
spacewalks	0.0562503
cryptography	0.0558775
calisthenics	0.0551877
exertion	0.0546116
write-off	0.0527935
"dance step"	0.0505031
"number crunching"	0.0503799
simulation	0.0503788
equation	0.0484527
methodology	0.048119
analyses	0.0480198
"medical exam"	0.0468788
editing	0.0467898
triage	0.0466487
pushup	0.0464725
"manual labor"	0.0463955
cartwheel	0.0461949
replication	0.0461642
monies	0.0460894
"genetic engineering"	0.0460601
soul-searching	0.0458897
enumeration	0.0452552
rewriting	0.0450521
"military drill"	0.0449426
"life form"	0.0446453
synchronization	0.044538
robotics	0.0444878
supercomputers	0.0443952
photosynthesis	0.044131
biopsy	0.0438464
arbitrage	0.0438175
"damage control"	0.0436735
"jigsaw puzzle"	0.0435723
"computer program"	0.0435653
"civic duty"	0.0433505
"point system"	0.